2022-11-23T01:11:48.7156469Z Requested labels: linux.g5.4xlarge.nvidia.gpu
2022-11-23T01:11:48.7156542Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-11-23T01:11:48.7156565Z Waiting for a runner to pick up this job...
2022-11-23T01:12:55.0873821Z Job is about to start running on the runner: i-0052d4fbbda3a7a6f (organization)
2022-11-23T01:12:59.9774926Z Current runner version: '2.299.1'
2022-11-23T01:12:59.9780108Z Runner name: 'i-0052d4fbbda3a7a6f'
2022-11-23T01:12:59.9780637Z Runner group name: 'Default'
2022-11-23T01:12:59.9781303Z Machine name: 'ip-10-0-0-54'
2022-11-23T01:12:59.9783391Z ##[group]GITHUB_TOKEN Permissions
2022-11-23T01:12:59.9784120Z Actions: write
2022-11-23T01:12:59.9784497Z Checks: write
2022-11-23T01:12:59.9784833Z Contents: write
2022-11-23T01:12:59.9785169Z Deployments: write
2022-11-23T01:12:59.9785522Z Discussions: write
2022-11-23T01:12:59.9785873Z Issues: write
2022-11-23T01:12:59.9786201Z Metadata: read
2022-11-23T01:12:59.9786545Z Packages: write
2022-11-23T01:12:59.9786891Z Pages: write
2022-11-23T01:12:59.9787251Z PullRequests: write
2022-11-23T01:12:59.9787632Z RepositoryProjects: write
2022-11-23T01:12:59.9788037Z SecurityEvents: write
2022-11-23T01:12:59.9788367Z Statuses: write
2022-11-23T01:12:59.9788700Z ##[endgroup]
2022-11-23T01:12:59.9791666Z Secret source: Actions
2022-11-23T01:12:59.9792350Z Prepare workflow directory
2022-11-23T01:13:00.2457165Z Prepare all required actions
2022-11-23T01:13:00.2625985Z Getting action download info
2022-11-23T01:13:00.5647803Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd)
2022-11-23T01:13:00.8376543Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f)
2022-11-23T01:13:03.3733651Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2022-11-23T01:13:03.7083982Z Getting action download info
2022-11-23T01:13:03.8691227Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076)
2022-11-23T01:13:04.0569299Z Getting action download info
2022-11-23T01:13:04.2682185Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767)
2022-11-23T01:13:04.4957216Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml
2022-11-23T01:13:04.4958626Z ##[group] Inputs
2022-11-23T01:13:04.4958931Z   build-environment: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T01:13:04.4959636Z   test-matrix: { include: [
  { config: "default", shard: 1, num_shards: 4, runner: "linux.g5.4xlarge.nvidia.gpu" },
  { config: "default", shard: 2, num_shards: 4, runner: "linux.g5.4xlarge.nvidia.gpu" },
  { config: "default", shard: 3, num_shards: 4, runner: "linux.g5.4xlarge.nvidia.gpu" },
  { config: "default", shard: 4, num_shards: 4, runner: "linux.g5.4xlarge.nvidia.gpu" },
  { config: "functorch", shard: 1, num_shards: 1, runner: "linux.g5.4xlarge.nvidia.gpu" },
]}

2022-11-23T01:13:04.4960407Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:13:04.4960782Z   sync-tag: 
2022-11-23T01:13:04.4961429Z   timeout-minutes: 240
2022-11-23T01:13:04.4961635Z ##[endgroup]
2022-11-23T01:13:04.4962120Z Complete job name: cuda11.6-py3.10-gcc7-sm86 / test (default, 4, 4, linux.g5.4xlarge.nvidia.gpu)
2022-11-23T01:13:04.5626325Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2022-11-23T01:13:04.5626603Z with:
2022-11-23T01:13:04.5627058Z   github-secret: ***
2022-11-23T01:13:04.5627280Z   activate-with-label: false
2022-11-23T01:13:04.5627482Z   label: with-ssh
2022-11-23T01:13:04.5627689Z   remove-existing-keys: true
2022-11-23T01:13:04.5627892Z env:
2022-11-23T01:13:04.5628077Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:13:04.5628278Z ##[endgroup]
2022-11-23T01:13:04.6387770Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-11-23T01:13:04.6554829Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-11-23T01:13:04.6555092Z with:
2022-11-23T01:13:04.6555282Z   submodules: recursive
2022-11-23T01:13:04.6555484Z   fetch-depth: 0
2022-11-23T01:13:04.6555655Z env:
2022-11-23T01:13:04.6555851Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:13:04.6556091Z ##[endgroup]
2022-11-23T01:13:04.6760878Z ##[group]Run retry () {
2022-11-23T01:13:04.6761134Z retry () {
2022-11-23T01:13:04.6761380Z   $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
2022-11-23T01:13:04.6761605Z }
2022-11-23T01:13:04.6761807Z echo "${GITHUB_WORKSPACE}"
2022-11-23T01:13:04.6762043Z if [ -z "${NO_SUDO}" ]; then
2022-11-23T01:13:04.6762289Z   retry sudo rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:13:04.6762622Z else
2022-11-23T01:13:04.6762835Z   retry rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:13:04.6763046Z fi
2022-11-23T01:13:04.6763266Z mkdir "${GITHUB_WORKSPACE}"
2022-11-23T01:13:04.6777722Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:13:04.6777969Z env:
2022-11-23T01:13:04.6778162Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:13:04.6778360Z   NO_SUDO: 
2022-11-23T01:13:04.6778540Z ##[endgroup]
2022-11-23T01:13:04.6874357Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:13:07.8875191Z ##[group]Run malfet/checkout@silent-checkout
2022-11-23T01:13:07.8875462Z with:
2022-11-23T01:13:07.8875669Z   ref: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:13:07.8875890Z   fetch-depth: 0
2022-11-23T01:13:07.8876089Z   submodules: recursive
2022-11-23T01:13:07.8876286Z   quiet-checkout: true
2022-11-23T01:13:07.8876500Z   repository: pytorch/pytorch
2022-11-23T01:13:07.8876825Z   token: ***
2022-11-23T01:13:07.8877008Z   ssh-strict: true
2022-11-23T01:13:07.8877218Z   persist-credentials: true
2022-11-23T01:13:07.8877425Z   clean: true
2022-11-23T01:13:07.8877603Z   lfs: false
2022-11-23T01:13:07.8877800Z   set-safe-directory: true
2022-11-23T01:13:07.8877999Z env:
2022-11-23T01:13:07.8878175Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:13:07.8878376Z ##[endgroup]
2022-11-23T01:13:07.9938690Z Syncing repository: pytorch/pytorch
2022-11-23T01:13:07.9940190Z ##[group]Getting Git version info
2022-11-23T01:13:07.9940596Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:13:07.9941180Z [command]/usr/bin/git version
2022-11-23T01:13:07.9957577Z git version 2.37.1
2022-11-23T01:13:07.9978408Z ##[endgroup]
2022-11-23T01:13:07.9998432Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8e1d6af6-08f8-453f-8229-bb072cc40ed9' before making global git config changes
2022-11-23T01:13:07.9999085Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T01:13:08.0003672Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:13:08.0043972Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:13:08.0048544Z ##[group]Initializing the repository
2022-11-23T01:13:08.0051190Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:13:08.0075803Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-11-23T01:13:08.0076160Z hint: is subject to change. To configure the initial branch name to use in all
2022-11-23T01:13:08.0076522Z hint: of your new repositories, which will suppress this warning, call:
2022-11-23T01:13:08.0076767Z hint: 
2022-11-23T01:13:08.0077063Z hint: 	git config --global init.defaultBranch <name>
2022-11-23T01:13:08.0077300Z hint: 
2022-11-23T01:13:08.0077603Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-11-23T01:13:08.0077998Z hint: 'development'. The just-created branch can be renamed via this command:
2022-11-23T01:13:08.0078253Z hint: 
2022-11-23T01:13:08.0078590Z hint: 	git branch -m <name>
2022-11-23T01:13:08.0078986Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-11-23T01:13:08.0084358Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-11-23T01:13:08.0104309Z ##[endgroup]
2022-11-23T01:13:08.0104700Z ##[group]Disabling automatic garbage collection
2022-11-23T01:13:08.0107497Z [command]/usr/bin/git config --local gc.auto 0
2022-11-23T01:13:08.0125606Z ##[endgroup]
2022-11-23T01:13:08.0125959Z ##[group]Setting up auth
2022-11-23T01:13:08.0131532Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T01:13:08.0152189Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T01:13:08.0362407Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T01:13:08.0384030Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T01:13:08.0582083Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:13:08.0621530Z ##[endgroup]
2022-11-23T01:13:08.0621924Z ##[group]Fetching the repository
2022-11-23T01:13:08.0626071Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-11-23T01:13:57.5689361Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object}
2022-11-23T01:13:57.5713261Z 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:13:57.5717055Z ##[endgroup]
2022-11-23T01:13:57.5717698Z ##[group]Determining the checkout info
2022-11-23T01:13:57.5718307Z ##[endgroup]
2022-11-23T01:13:57.5718897Z ##[group]Checking out the ref
2022-11-23T01:13:57.5723192Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:13:58.7298717Z ##[endgroup]
2022-11-23T01:13:58.7299422Z ##[group]Setting up auth for fetching submodules
2022-11-23T01:13:58.7305321Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:13:58.7353548Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-11-23T01:13:58.7380348Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-11-23T01:13:58.7405552Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-11-23T01:13:58.7429462Z ##[endgroup]
2022-11-23T01:13:58.7429855Z ##[group]Fetching submodules
2022-11-23T01:13:58.7433093Z [command]/usr/bin/git submodule sync --recursive
2022-11-23T01:13:58.7669480Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-11-23T01:13:58.7877967Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-11-23T01:13:58.7879260Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-11-23T01:13:58.7880089Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-11-23T01:13:58.7881675Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-11-23T01:13:58.7883428Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-11-23T01:13:58.7885340Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2022-11-23T01:13:58.7887320Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-11-23T01:13:58.7889067Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-11-23T01:13:58.7890994Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-11-23T01:13:58.7893024Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-11-23T01:13:58.7895255Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-11-23T01:13:58.7897423Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2022-11-23T01:13:58.7900049Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-11-23T01:13:58.7902695Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-11-23T01:13:58.7904922Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-11-23T01:13:58.7907268Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-11-23T01:13:58.7909828Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-11-23T01:13:58.7913005Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:13:58.7915139Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-11-23T01:13:58.7917887Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-11-23T01:13:58.7920650Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-11-23T01:13:58.7923534Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-11-23T01:13:58.7926433Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2022-11-23T01:13:58.7929264Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-11-23T01:13:58.7932260Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-11-23T01:13:58.7935285Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-11-23T01:13:58.7938402Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2022-11-23T01:13:58.7941916Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-11-23T01:13:58.7945131Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-11-23T01:13:58.7948405Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-11-23T01:13:58.7953126Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-11-23T01:13:58.7955243Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-11-23T01:13:58.7958777Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-11-23T01:13:58.7962246Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-11-23T01:13:58.7965911Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-11-23T01:13:58.7969539Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-11-23T01:13:58.7973155Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-11-23T01:13:58.7976958Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-11-23T01:13:58.7981123Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-11-23T01:13:58.7985089Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-11-23T01:13:58.7989015Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-11-23T01:13:58.8008913Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-11-23T01:13:59.0801237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-11-23T01:13:59.2846222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-11-23T01:13:59.4773356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-11-23T01:13:59.7511907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-11-23T01:14:00.0060307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2022-11-23T01:14:01.7682903Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-11-23T01:14:07.0767831Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-11-23T01:14:07.4477496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-11-23T01:14:07.9820733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-11-23T01:14:09.3490702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2022-11-23T01:14:10.4774775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2022-11-23T01:14:11.8708485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'...
2022-11-23T01:14:18.1401393Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2022-11-23T01:14:18.8203022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2022-11-23T01:14:20.1177376Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2022-11-23T01:14:21.1167012Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'...
2022-11-23T01:14:21.3478205Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2022-11-23T01:14:21.9193238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2022-11-23T01:14:22.2390431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2022-11-23T01:14:23.1310920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2022-11-23T01:14:23.5350560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'...
2022-11-23T01:14:23.7513725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2022-11-23T01:14:24.0110969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2022-11-23T01:14:25.3587359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'...
2022-11-23T01:14:25.7949430Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'...
2022-11-23T01:14:26.1766181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2022-11-23T01:14:31.6539499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2022-11-23T01:14:33.1605982Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'...
2022-11-23T01:14:33.6138597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2022-11-23T01:14:33.8641784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2022-11-23T01:14:38.9618233Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2022-11-23T01:14:39.1680103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2022-11-23T01:14:39.3963079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2022-11-23T01:14:40.1560776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-enum'...
2022-11-23T01:14:40.3692604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2022-11-23T01:14:40.6680946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-six'...
2022-11-23T01:14:40.9526238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2022-11-23T01:14:41.4640949Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tbb'...
2022-11-23T01:14:43.5233287Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2022-11-23T01:14:43.9769497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/zstd'...
2022-11-23T01:14:46.0575171Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2022-11-23T01:14:46.0649041Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2022-11-23T01:14:46.0703880Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2022-11-23T01:14:46.0877907Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2022-11-23T01:14:46.1049446Z Submodule path 'third_party/QNNPACK': checked out '7d2a4e9931a82adc3814275b6219a03e24e36b4c'
2022-11-23T01:14:46.1322806Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2022-11-23T01:14:46.6240584Z Submodule path 'third_party/XNNPACK': checked out 'ae108ef49aa5623b896fc93d4298c49d1750d9ba'
2022-11-23T01:14:46.6402594Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415'
2022-11-23T01:14:46.7243421Z Submodule path 'third_party/cpuinfo': checked out '8ec7bd91ad0470e61cf38f618cc1f270dede599c'
2022-11-23T01:14:46.7515233Z Submodule path 'third_party/cub': checked out 'd106ddb991a56c3df1b6d51b2409e36ba8181ce4'
2022-11-23T01:14:46.9852724Z Submodule path 'third_party/cudnn_frontend': checked out '171a7a986f7fbd9ed71bd0cf3c7ad4f55843d6b3'
2022-11-23T01:14:47.3242213Z Submodule path 'third_party/cutlass': checked out 'b72cbf957df8cf84a6d0ff91c190ad51a9c1d24a'
2022-11-23T01:14:47.5296589Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c'
2022-11-23T01:14:47.5676219Z Submodule path 'third_party/fbgemm': checked out '4d1738b3142a6cb0c032cd639e239566010b054a'
2022-11-23T01:14:47.5691280Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:14:47.5693161Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:14:47.5695573Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:14:47.5697588Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:14:47.5721169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'...
2022-11-23T01:14:48.4626167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'...
2022-11-23T01:14:48.9456589Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'...
2022-11-23T01:14:49.8421341Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'...
2022-11-23T01:14:50.2368127Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81'
2022-11-23T01:14:50.3220054Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3'
2022-11-23T01:14:50.3718880Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796'
2022-11-23T01:14:50.3798628Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '1840658c184f3eeba787dae0f06c45756c1daaf5'
2022-11-23T01:14:50.4548007Z Submodule path 'third_party/flatbuffers': checked out 'd0cede9c90c5257537c293517a21376408b549fa'
2022-11-23T01:14:50.4834808Z Submodule path 'third_party/fmt': checked out '7bdf0628b1276379886c7f6dda2cef2b3b374f0b'
2022-11-23T01:14:50.4904566Z Submodule path 'third_party/foxi': checked out 'c278588e34e535f0bb8f00df3880d26928038cad'
2022-11-23T01:14:50.5209242Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2022-11-23T01:14:50.5408118Z Submodule path 'third_party/gloo': checked out '4a5e339b764261d20fc409071dc7a8b8989aa195'
2022-11-23T01:14:50.5782993Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2022-11-23T01:14:50.5868725Z Submodule path 'third_party/ideep': checked out '5ddc65efe0428bbce2942b3ce5e3ce15239abe2f'
2022-11-23T01:14:50.5880511Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2022-11-23T01:14:50.5896668Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2022-11-23T01:14:58.3840157Z Submodule path 'third_party/ideep/mkl-dnn': checked out 'd19d0f795c60695bd32f894c6f01771b2dfbe24d'
2022-11-23T01:14:58.3851878Z Submodule 'third_party/oneDNN' (https://github.com/oneapi-src/oneDNN.git) registered for path 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:14:58.3873386Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn/third_party/oneDNN'...
2022-11-23T01:15:06.1274257Z Submodule path 'third_party/ideep/mkl-dnn/third_party/oneDNN': checked out '650085b2f3643aad05c629425983491d63b5c289'
2022-11-23T01:15:06.1348054Z Submodule path 'third_party/ios-cmake': checked out '8abaed637d56f1337d6e1d2c4026e25c1eade724'
2022-11-23T01:15:06.1451671Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42'
2022-11-23T01:15:06.2209174Z Submodule path 'third_party/kineto': checked out '6c1629809068efd78a8d56b4aa479c7ec49ae562'
2022-11-23T01:15:06.2219397Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:06.2221623Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:06.2237269Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2022-11-23T01:15:07.4104337Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2022-11-23T01:15:08.3588351Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '2591ab91c3898c9f6544fff04660276537d32ffd'
2022-11-23T01:15:08.4035265Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2022-11-23T01:15:08.4199418Z Submodule path 'third_party/nccl/nccl': checked out 'f89fd4777d2ef9229c039ff750ae21da01626f52'
2022-11-23T01:15:08.4303498Z Submodule path 'third_party/neon2sse': checked out '97a126f08ce318023be604d03f88bf0820a9464a'
2022-11-23T01:15:08.5149213Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806'
2022-11-23T01:15:08.7105733Z Submodule path 'third_party/onnx': checked out 'f7ee1ac60d06abe8e26c9b6bbe1e3db5286b614b'
2022-11-23T01:15:08.7127170Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:08.7128407Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:08.7151254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'...
2022-11-23T01:15:09.1155197Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2022-11-23T01:15:09.8856164Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415'
2022-11-23T01:15:09.9112833Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'ffa346860b306c9bbfb341aed9c14c067751feb8'
2022-11-23T01:15:09.9234899Z Submodule path 'third_party/onnx-tensorrt': checked out 'c153211418a7c57ce071d9ce2a41f8d1c85a878f'
2022-11-23T01:15:09.9246004Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:09.9262430Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx'...
2022-11-23T01:15:11.4695341Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx': checked out '765f5ee823a67a866f4bd28a9860e81f3c811ce8'
2022-11-23T01:15:11.4709118Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:11.4712853Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:11.4729371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'...
2022-11-23T01:15:11.8869267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'...
2022-11-23T01:15:12.8026525Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark': checked out 'e776aa0275e293707b6a0901e0e8d8a8a3679508'
2022-11-23T01:15:12.8610748Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11': checked out 'a1041190c8b8ff0cd9e2f0752248ad5e3789ea0c'
2022-11-23T01:15:12.8621742Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:12.8640296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'...
2022-11-23T01:15:13.0844683Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2022-11-23T01:15:13.0912820Z Submodule path 'third_party/pocketfft': checked out 'ea778e37710c07723435b1be58235996d1d43a5a'
2022-11-23T01:15:13.3011972Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2022-11-23T01:15:13.3029441Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:13.3030805Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:13.3053784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2022-11-23T01:15:13.6783098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2022-11-23T01:15:14.5799366Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2022-11-23T01:15:14.6369392Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2022-11-23T01:15:14.6426696Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2022-11-23T01:15:14.6500780Z Submodule path 'third_party/pthreadpool': checked out 'a134dd5d4cee80cce15db81a72e7f929d71dd413'
2022-11-23T01:15:14.6766671Z Submodule path 'third_party/pybind11': checked out '80dc998efced8ceb2be59756668a7e90e8bef917'
2022-11-23T01:15:14.6829061Z Submodule path 'third_party/python-enum': checked out '4cfedc426c4e2fc52e3f5c2b4297e15ed8d6b8c7'
2022-11-23T01:15:14.7041734Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2022-11-23T01:15:14.7106739Z Submodule path 'third_party/python-six': checked out '15e31431af97e5e64b80af0a3f598d382bcdd49a'
2022-11-23T01:15:14.7450099Z Submodule path 'third_party/sleef': checked out 'e0a003ee838b75d11763aa9c3ef17bf71a725bff'
2022-11-23T01:15:14.8336143Z Submodule path 'third_party/tbb': checked out 'a51a90bc609bb73db8ea13841b5cf7aa4344d4a9'
2022-11-23T01:15:14.8536333Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e'
2022-11-23T01:15:14.8546236Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:14.8547672Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:14.8549514Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:14.8552751Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:14.8567494Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2022-11-23T01:15:15.8466754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2022-11-23T01:15:16.1489974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2022-11-23T01:15:17.5566421Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2022-11-23T01:15:18.5110315Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2022-11-23T01:15:18.5222658Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2022-11-23T01:15:18.5756911Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242'
2022-11-23T01:15:18.5977036Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2022-11-23T01:15:18.5986584Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:18.6002022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2022-11-23T01:15:18.8540325Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2022-11-23T01:15:18.9698256Z Submodule path 'third_party/zstd': checked out 'aec56a52fbab207fc639a1937d1e708a282edca8'
2022-11-23T01:15:18.9728634Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2022-11-23T01:15:18.9930307Z Entering 'android/libs/fbjni'
2022-11-23T01:15:18.9955807Z Entering 'third_party/FP16'
2022-11-23T01:15:18.9981188Z Entering 'third_party/FXdiv'
2022-11-23T01:15:19.0006512Z Entering 'third_party/NNPACK'
2022-11-23T01:15:19.0033445Z Entering 'third_party/QNNPACK'
2022-11-23T01:15:19.0060849Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:15:19.0086303Z Entering 'third_party/XNNPACK'
2022-11-23T01:15:19.0119543Z Entering 'third_party/benchmark'
2022-11-23T01:15:19.0146061Z Entering 'third_party/cpuinfo'
2022-11-23T01:15:19.0171694Z Entering 'third_party/cub'
2022-11-23T01:15:19.0197442Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:15:19.0228032Z Entering 'third_party/cutlass'
2022-11-23T01:15:19.0259500Z Entering 'third_party/eigen'
2022-11-23T01:15:19.0286606Z Entering 'third_party/fbgemm'
2022-11-23T01:15:19.0313083Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:15:19.0338407Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:15:19.0364701Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:15:19.0390492Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:15:19.0417074Z Entering 'third_party/flatbuffers'
2022-11-23T01:15:19.0443800Z Entering 'third_party/fmt'
2022-11-23T01:15:19.0469186Z Entering 'third_party/foxi'
2022-11-23T01:15:19.0494650Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:15:19.0520985Z Entering 'third_party/gloo'
2022-11-23T01:15:19.0547558Z Entering 'third_party/googletest'
2022-11-23T01:15:19.0572948Z Entering 'third_party/ideep'
2022-11-23T01:15:19.0597903Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:15:19.0625763Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:15:19.0656238Z Entering 'third_party/ios-cmake'
2022-11-23T01:15:19.0683206Z Entering 'third_party/ittapi'
2022-11-23T01:15:19.0708576Z Entering 'third_party/kineto'
2022-11-23T01:15:19.0733752Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:19.0760262Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:19.0790505Z Entering 'third_party/nccl/nccl'
2022-11-23T01:15:19.0819275Z Entering 'third_party/neon2sse'
2022-11-23T01:15:19.0844865Z Entering 'third_party/nlohmann'
2022-11-23T01:15:19.0872736Z Entering 'third_party/onnx'
2022-11-23T01:15:19.0906859Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.0934597Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.0969009Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:15:19.0999022Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:19.1028121Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.1053456Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.1084222Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.1118851Z Entering 'third_party/pocketfft'
2022-11-23T01:15:19.1146853Z Entering 'third_party/protobuf'
2022-11-23T01:15:19.1175168Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:19.1203278Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:19.1233759Z Entering 'third_party/psimd'
2022-11-23T01:15:19.1263331Z Entering 'third_party/pthreadpool'
2022-11-23T01:15:19.1290434Z Entering 'third_party/pybind11'
2022-11-23T01:15:19.1320158Z Entering 'third_party/python-enum'
2022-11-23T01:15:19.1348534Z Entering 'third_party/python-peachpy'
2022-11-23T01:15:19.1375251Z Entering 'third_party/python-six'
2022-11-23T01:15:19.1405069Z Entering 'third_party/sleef'
2022-11-23T01:15:19.1432850Z Entering 'third_party/tbb'
2022-11-23T01:15:19.1462463Z Entering 'third_party/tensorpipe'
2022-11-23T01:15:19.1490717Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:19.1517192Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:19.1542223Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:19.1570287Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:19.1596107Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.1623665Z Entering 'third_party/zstd'
2022-11-23T01:15:19.1665589Z ##[endgroup]
2022-11-23T01:15:19.1666024Z ##[group]Persisting credentials for submodules
2022-11-23T01:15:19.1669288Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
2022-11-23T01:15:19.1882635Z Entering 'android/libs/fbjni'
2022-11-23T01:15:19.1908989Z Entering 'third_party/FP16'
2022-11-23T01:15:19.1937212Z Entering 'third_party/FXdiv'
2022-11-23T01:15:19.1964028Z Entering 'third_party/NNPACK'
2022-11-23T01:15:19.1993453Z Entering 'third_party/QNNPACK'
2022-11-23T01:15:19.2021568Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:15:19.2048824Z Entering 'third_party/XNNPACK'
2022-11-23T01:15:19.2081889Z Entering 'third_party/benchmark'
2022-11-23T01:15:19.2111534Z Entering 'third_party/cpuinfo'
2022-11-23T01:15:19.2142029Z Entering 'third_party/cub'
2022-11-23T01:15:19.2169735Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:15:19.2202364Z Entering 'third_party/cutlass'
2022-11-23T01:15:19.2235029Z Entering 'third_party/eigen'
2022-11-23T01:15:19.2266659Z Entering 'third_party/fbgemm'
2022-11-23T01:15:19.2294927Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:15:19.2323098Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:15:19.2352349Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:15:19.2379965Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:15:19.2407714Z Entering 'third_party/flatbuffers'
2022-11-23T01:15:19.2438026Z Entering 'third_party/fmt'
2022-11-23T01:15:19.2465521Z Entering 'third_party/foxi'
2022-11-23T01:15:19.2491930Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:15:19.2522065Z Entering 'third_party/gloo'
2022-11-23T01:15:19.2548844Z Entering 'third_party/googletest'
2022-11-23T01:15:19.2578245Z Entering 'third_party/ideep'
2022-11-23T01:15:19.2606844Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:15:19.2634570Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:15:19.2666575Z Entering 'third_party/ios-cmake'
2022-11-23T01:15:19.2694877Z Entering 'third_party/ittapi'
2022-11-23T01:15:19.2723856Z Entering 'third_party/kineto'
2022-11-23T01:15:19.2751022Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:19.2780446Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:19.2810045Z Entering 'third_party/nccl/nccl'
2022-11-23T01:15:19.2838545Z Entering 'third_party/neon2sse'
2022-11-23T01:15:19.2866336Z Entering 'third_party/nlohmann'
2022-11-23T01:15:19.2893808Z Entering 'third_party/onnx'
2022-11-23T01:15:19.2930768Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.2960291Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.2989004Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:15:19.3016869Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:19.3046803Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.3076491Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.3101599Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.3135606Z Entering 'third_party/pocketfft'
2022-11-23T01:15:19.3162894Z Entering 'third_party/protobuf'
2022-11-23T01:15:19.3193478Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:19.3221799Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:19.3249852Z Entering 'third_party/psimd'
2022-11-23T01:15:19.3279160Z Entering 'third_party/pthreadpool'
2022-11-23T01:15:19.3309145Z Entering 'third_party/pybind11'
2022-11-23T01:15:19.3337390Z Entering 'third_party/python-enum'
2022-11-23T01:15:19.3364744Z Entering 'third_party/python-peachpy'
2022-11-23T01:15:19.3393045Z Entering 'third_party/python-six'
2022-11-23T01:15:19.3418697Z Entering 'third_party/sleef'
2022-11-23T01:15:19.3448679Z Entering 'third_party/tbb'
2022-11-23T01:15:19.3479511Z Entering 'third_party/tensorpipe'
2022-11-23T01:15:19.3506944Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:19.3534318Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:19.3563337Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:19.3590046Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:19.3617126Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.3648299Z Entering 'third_party/zstd'
2022-11-23T01:15:19.3685084Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-11-23T01:15:19.3890102Z Entering 'android/libs/fbjni'
2022-11-23T01:15:19.3915284Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-11-23T01:15:19.3928299Z Entering 'third_party/FP16'
2022-11-23T01:15:19.3953318Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-11-23T01:15:19.3963379Z Entering 'third_party/FXdiv'
2022-11-23T01:15:19.3989186Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-11-23T01:15:19.4002695Z Entering 'third_party/NNPACK'
2022-11-23T01:15:19.4030683Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-11-23T01:15:19.4042816Z Entering 'third_party/QNNPACK'
2022-11-23T01:15:19.4067151Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-11-23T01:15:19.4080651Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:15:19.4108275Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2022-11-23T01:15:19.4121590Z Entering 'third_party/XNNPACK'
2022-11-23T01:15:19.4146436Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-11-23T01:15:19.4165897Z Entering 'third_party/benchmark'
2022-11-23T01:15:19.4193778Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:15:19.4205376Z Entering 'third_party/cpuinfo'
2022-11-23T01:15:19.4230021Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:15:19.4244865Z Entering 'third_party/cub'
2022-11-23T01:15:19.4269370Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-11-23T01:15:19.4283926Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:15:19.4308487Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-11-23T01:15:19.4327434Z Entering 'third_party/cutlass'
2022-11-23T01:15:19.4353261Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2022-11-23T01:15:19.4370322Z Entering 'third_party/eigen'
2022-11-23T01:15:19.4396043Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-11-23T01:15:19.4410488Z Entering 'third_party/fbgemm'
2022-11-23T01:15:19.4435148Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-11-23T01:15:19.4445781Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:15:19.4473472Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-11-23T01:15:19.4485800Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:15:19.4512772Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:15:19.4525275Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:15:19.4551908Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:15:19.4565029Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:15:19.4590490Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2022-11-23T01:15:19.4604447Z Entering 'third_party/flatbuffers'
2022-11-23T01:15:19.4629992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-11-23T01:15:19.4642247Z Entering 'third_party/fmt'
2022-11-23T01:15:19.4667419Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-11-23T01:15:19.4680660Z Entering 'third_party/foxi'
2022-11-23T01:15:19.4706550Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-11-23T01:15:19.4718579Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:15:19.4745324Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-11-23T01:15:19.4758213Z Entering 'third_party/gloo'
2022-11-23T01:15:19.4783839Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-11-23T01:15:19.4795478Z Entering 'third_party/googletest'
2022-11-23T01:15:19.4821239Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:15:19.4834382Z Entering 'third_party/ideep'
2022-11-23T01:15:19.4860502Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-11-23T01:15:19.4872402Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:15:19.4897910Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-11-23T01:15:19.4912745Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:15:19.4937215Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-11-23T01:15:19.4955676Z Entering 'third_party/ios-cmake'
2022-11-23T01:15:19.4981106Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-11-23T01:15:19.4993458Z Entering 'third_party/ittapi'
2022-11-23T01:15:19.5017224Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2022-11-23T01:15:19.5028059Z Entering 'third_party/kineto'
2022-11-23T01:15:19.5053773Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-11-23T01:15:19.5064763Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:19.5091237Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-11-23T01:15:19.5104096Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:19.5129964Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-11-23T01:15:19.5143509Z Entering 'third_party/nccl/nccl'
2022-11-23T01:15:19.5170457Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-11-23T01:15:19.5181899Z Entering 'third_party/neon2sse'
2022-11-23T01:15:19.5206966Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-11-23T01:15:19.5217734Z Entering 'third_party/nlohmann'
2022-11-23T01:15:19.5243141Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2022-11-23T01:15:19.5256931Z Entering 'third_party/onnx'
2022-11-23T01:15:19.5282134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:15:19.5302399Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.5328296Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:15:19.5342015Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.5367591Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:15:19.5382789Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:15:19.5408055Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-11-23T01:15:19.5418129Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:19.5444338Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:15:19.5459599Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.5486170Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:15:19.5498178Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.5522886Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:15:19.5534077Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.5561070Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:15:19.5577396Z Entering 'third_party/pocketfft'
2022-11-23T01:15:19.5605073Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-11-23T01:15:19.5615567Z Entering 'third_party/protobuf'
2022-11-23T01:15:19.5642952Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-11-23T01:15:19.5657694Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:19.5683091Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:15:19.5695638Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:19.5722361Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:15:19.5736390Z Entering 'third_party/psimd'
2022-11-23T01:15:19.5764178Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-11-23T01:15:19.5776722Z Entering 'third_party/pthreadpool'
2022-11-23T01:15:19.5802119Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-11-23T01:15:19.5813268Z Entering 'third_party/pybind11'
2022-11-23T01:15:19.5841495Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:15:19.5853572Z Entering 'third_party/python-enum'
2022-11-23T01:15:19.5880975Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-11-23T01:15:19.5891890Z Entering 'third_party/python-peachpy'
2022-11-23T01:15:19.5916383Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-11-23T01:15:19.5929224Z Entering 'third_party/python-six'
2022-11-23T01:15:19.5955031Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-11-23T01:15:19.5967788Z Entering 'third_party/sleef'
2022-11-23T01:15:19.5993381Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-11-23T01:15:19.6006244Z Entering 'third_party/tbb'
2022-11-23T01:15:19.6032691Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-11-23T01:15:19.6046867Z Entering 'third_party/tensorpipe'
2022-11-23T01:15:19.6073214Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-11-23T01:15:19.6085204Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:19.6110970Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:15:19.6124147Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:19.6150714Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-11-23T01:15:19.6162982Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:19.6188658Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-11-23T01:15:19.6201863Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:19.6228534Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:15:19.6239548Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.6263879Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:15:19.6278571Z Entering 'third_party/zstd'
2022-11-23T01:15:19.6302877Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-11-23T01:15:19.7317889Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-11-23T01:15:19.7532752Z Entering 'android/libs/fbjni'
2022-11-23T01:15:19.7564208Z Entering 'third_party/FP16'
2022-11-23T01:15:19.7594816Z Entering 'third_party/FXdiv'
2022-11-23T01:15:19.7622994Z Entering 'third_party/NNPACK'
2022-11-23T01:15:19.7648984Z Entering 'third_party/QNNPACK'
2022-11-23T01:15:19.7680842Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:15:19.7708006Z Entering 'third_party/XNNPACK'
2022-11-23T01:15:19.7744059Z Entering 'third_party/benchmark'
2022-11-23T01:15:19.7770330Z Entering 'third_party/cpuinfo'
2022-11-23T01:15:19.7801319Z Entering 'third_party/cub'
2022-11-23T01:15:19.7828052Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:15:19.7861419Z Entering 'third_party/cutlass'
2022-11-23T01:15:19.7897281Z Entering 'third_party/eigen'
2022-11-23T01:15:19.7926674Z Entering 'third_party/fbgemm'
2022-11-23T01:15:19.7955389Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:15:19.7984968Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:15:19.8011104Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:15:19.8040038Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:15:19.8068192Z Entering 'third_party/flatbuffers'
2022-11-23T01:15:19.8101108Z Entering 'third_party/fmt'
2022-11-23T01:15:19.8129389Z Entering 'third_party/foxi'
2022-11-23T01:15:19.8159151Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:15:19.8185364Z Entering 'third_party/gloo'
2022-11-23T01:15:19.8213260Z Entering 'third_party/googletest'
2022-11-23T01:15:19.8241038Z Entering 'third_party/ideep'
2022-11-23T01:15:19.8266873Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:15:19.8297307Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:15:19.8330881Z Entering 'third_party/ios-cmake'
2022-11-23T01:15:19.8359880Z Entering 'third_party/ittapi'
2022-11-23T01:15:19.8389789Z Entering 'third_party/kineto'
2022-11-23T01:15:19.8419267Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:19.8448686Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:19.8477743Z Entering 'third_party/nccl/nccl'
2022-11-23T01:15:19.8506227Z Entering 'third_party/neon2sse'
2022-11-23T01:15:19.8533292Z Entering 'third_party/nlohmann'
2022-11-23T01:15:19.8564265Z Entering 'third_party/onnx'
2022-11-23T01:15:19.8601039Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.8630714Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.8658313Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:15:19.8688632Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:19.8722240Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:19.8752617Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:19.8781840Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.8816429Z Entering 'third_party/pocketfft'
2022-11-23T01:15:19.8847227Z Entering 'third_party/protobuf'
2022-11-23T01:15:19.8877978Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:19.8906251Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:19.8935578Z Entering 'third_party/psimd'
2022-11-23T01:15:19.8965981Z Entering 'third_party/pthreadpool'
2022-11-23T01:15:19.8993708Z Entering 'third_party/pybind11'
2022-11-23T01:15:19.9023634Z Entering 'third_party/python-enum'
2022-11-23T01:15:19.9052335Z Entering 'third_party/python-peachpy'
2022-11-23T01:15:19.9080122Z Entering 'third_party/python-six'
2022-11-23T01:15:19.9106672Z Entering 'third_party/sleef'
2022-11-23T01:15:19.9135082Z Entering 'third_party/tbb'
2022-11-23T01:15:19.9165814Z Entering 'third_party/tensorpipe'
2022-11-23T01:15:19.9195364Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:19.9221684Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:19.9249630Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:19.9277163Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:19.9305492Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:19.9337982Z Entering 'third_party/zstd'
2022-11-23T01:15:19.9378055Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-11-23T01:15:19.9585635Z Entering 'android/libs/fbjni'
2022-11-23T01:15:19.9614810Z Entering 'third_party/FP16'
2022-11-23T01:15:19.9645401Z Entering 'third_party/FXdiv'
2022-11-23T01:15:19.9673471Z Entering 'third_party/NNPACK'
2022-11-23T01:15:19.9698637Z Entering 'third_party/QNNPACK'
2022-11-23T01:15:19.9728413Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:15:19.9756721Z Entering 'third_party/XNNPACK'
2022-11-23T01:15:19.9793312Z Entering 'third_party/benchmark'
2022-11-23T01:15:19.9819176Z Entering 'third_party/cpuinfo'
2022-11-23T01:15:19.9848774Z Entering 'third_party/cub'
2022-11-23T01:15:19.9875868Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:15:19.9907724Z Entering 'third_party/cutlass'
2022-11-23T01:15:19.9941776Z Entering 'third_party/eigen'
2022-11-23T01:15:19.9971450Z Entering 'third_party/fbgemm'
2022-11-23T01:15:20.0001299Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:15:20.0027522Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:15:20.0055989Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:15:20.0086063Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:15:20.0114664Z Entering 'third_party/flatbuffers'
2022-11-23T01:15:20.0146729Z Entering 'third_party/fmt'
2022-11-23T01:15:20.0176414Z Entering 'third_party/foxi'
2022-11-23T01:15:20.0206747Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:15:20.0235953Z Entering 'third_party/gloo'
2022-11-23T01:15:20.0265677Z Entering 'third_party/googletest'
2022-11-23T01:15:20.0293490Z Entering 'third_party/ideep'
2022-11-23T01:15:20.0321152Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:15:20.0352497Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:15:20.0386021Z Entering 'third_party/ios-cmake'
2022-11-23T01:15:20.0413254Z Entering 'third_party/ittapi'
2022-11-23T01:15:20.0444963Z Entering 'third_party/kineto'
2022-11-23T01:15:20.0472418Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:15:20.0499009Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:15:20.0529438Z Entering 'third_party/nccl/nccl'
2022-11-23T01:15:20.0557508Z Entering 'third_party/neon2sse'
2022-11-23T01:15:20.0584387Z Entering 'third_party/nlohmann'
2022-11-23T01:15:20.0612507Z Entering 'third_party/onnx'
2022-11-23T01:15:20.0652752Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:15:20.0679536Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:15:20.0709813Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:15:20.0739829Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:15:20.0772110Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:15:20.0802521Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:15:20.0831120Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:15:20.0863963Z Entering 'third_party/pocketfft'
2022-11-23T01:15:20.0892938Z Entering 'third_party/protobuf'
2022-11-23T01:15:20.0925087Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:15:20.0954529Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:15:20.0984046Z Entering 'third_party/psimd'
2022-11-23T01:15:20.1013875Z Entering 'third_party/pthreadpool'
2022-11-23T01:15:20.1042091Z Entering 'third_party/pybind11'
2022-11-23T01:15:20.1070026Z Entering 'third_party/python-enum'
2022-11-23T01:15:20.1097276Z Entering 'third_party/python-peachpy'
2022-11-23T01:15:20.1126618Z Entering 'third_party/python-six'
2022-11-23T01:15:20.1155302Z Entering 'third_party/sleef'
2022-11-23T01:15:20.1184229Z Entering 'third_party/tbb'
2022-11-23T01:15:20.1216202Z Entering 'third_party/tensorpipe'
2022-11-23T01:15:20.1246718Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:15:20.1274640Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:15:20.1300447Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:15:20.1327270Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:15:20.1356406Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:15:20.1387979Z Entering 'third_party/zstd'
2022-11-23T01:15:20.1425852Z ##[endgroup]
2022-11-23T01:15:20.1463776Z [command]/usr/bin/git log -1 --format='%H'
2022-11-23T01:15:20.1486971Z '1cfd3858ac54fe3883534309081631a0a892ba3f'
2022-11-23T01:15:20.1594847Z Prepare all required actions
2022-11-23T01:15:20.1619658Z ##[group]Run ./.github/actions/setup-linux
2022-11-23T01:15:20.1619959Z env:
2022-11-23T01:15:20.1620253Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:20.1620523Z ##[endgroup]
2022-11-23T01:15:20.1656256Z ##[group]Run set -euo pipefail
2022-11-23T01:15:20.1656509Z set -euo pipefail
2022-11-23T01:15:20.1656740Z function get_ec2_metadata() {
2022-11-23T01:15:20.1657107Z   # Pulled from instance metadata endpoint for EC2
2022-11-23T01:15:20.1657485Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-11-23T01:15:20.1657810Z   category=$1
2022-11-23T01:15:20.1658071Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-11-23T01:15:20.1658317Z }
2022-11-23T01:15:20.1658544Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-11-23T01:15:20.1658991Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-11-23T01:15:20.1659352Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-11-23T01:15:20.1659615Z echo "system info $(uname -a)"
2022-11-23T01:15:20.1670666Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:20.1670902Z env:
2022-11-23T01:15:20.1671088Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:20.1671292Z ##[endgroup]
2022-11-23T01:15:20.1741834Z ami-id: ami-096198a0bccc6bad4
2022-11-23T01:15:20.1783380Z instance-id: i-0052d4fbbda3a7a6f
2022-11-23T01:15:20.1823765Z instance-type: g5.4xlarge
2022-11-23T01:15:20.1829713Z system info Linux ip-10-0-0-54.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-11-23T01:15:20.1845634Z ##[group]Run if systemctl is-active --quiet docker; then
2022-11-23T01:15:20.1845932Z if systemctl is-active --quiet docker; then
2022-11-23T01:15:20.1846208Z     echo "Docker daemon is running...";
2022-11-23T01:15:20.1846439Z else
2022-11-23T01:15:20.1846700Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-11-23T01:15:20.1846945Z fi
2022-11-23T01:15:20.1856638Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:20.1856877Z env:
2022-11-23T01:15:20.1857059Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:20.1857270Z ##[endgroup]
2022-11-23T01:15:20.1894407Z Docker daemon is running...
2022-11-23T01:15:20.1908499Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:15:20.1908866Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:15:20.1909169Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:15:20.1909577Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-11-23T01:15:20.1909949Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-11-23T01:15:20.1918900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:20.1919143Z env:
2022-11-23T01:15:20.1919342Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:20.1919568Z   AWS_RETRY_MODE: standard
2022-11-23T01:15:20.1919782Z   AWS_MAX_ATTEMPTS: 5
2022-11-23T01:15:20.1920010Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T01:15:20.1920226Z ##[endgroup]
2022-11-23T01:15:21.0062640Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-11-23T01:15:21.0063148Z Configure a credential helper to remove this warning. See
2022-11-23T01:15:21.0063573Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-11-23T01:15:21.0063786Z 
2022-11-23T01:15:21.0064131Z Login Succeeded
2022-11-23T01:15:21.0092880Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:15:21.0093204Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:15:21.0093568Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:15:21.0104589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:21.0104822Z env:
2022-11-23T01:15:21.0105019Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:21.0105227Z ##[endgroup]
2022-11-23T01:15:21.0169688Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2022-11-23T01:15:21.0169956Z with:
2022-11-23T01:15:21.0170408Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:15:21.0170765Z env:
2022-11-23T01:15:21.0170957Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:21.0171163Z ##[endgroup]
2022-11-23T01:15:21.0183977Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:15:21.0184269Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:15:21.0184558Z # ignore output since only exit code is used for conditional
2022-11-23T01:15:21.0184861Z # only pull docker image if it's not available locally
2022-11-23T01:15:21.0185181Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2022-11-23T01:15:21.0185492Z   retry docker pull "${DOCKER_IMAGE}"
2022-11-23T01:15:21.0185707Z fi
2022-11-23T01:15:21.0194471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:21.0194707Z env:
2022-11-23T01:15:21.0194899Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:21.0195292Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:15:21.0195664Z ##[endgroup]
2022-11-23T01:15:21.2313575Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7
2022-11-23T01:15:21.2314170Z a404e5416296: Pulling fs layer
2022-11-23T01:15:21.2314518Z c58c079e9b17: Pulling fs layer
2022-11-23T01:15:21.2314868Z e5b80b8bbe91: Pulling fs layer
2022-11-23T01:15:21.2315222Z 888240790290: Pulling fs layer
2022-11-23T01:15:21.2315523Z 515fe5e34eb4: Pulling fs layer
2022-11-23T01:15:21.2315736Z 4e4521f12f5a: Pulling fs layer
2022-11-23T01:15:21.2315963Z f6e1a56cb32d: Pulling fs layer
2022-11-23T01:15:21.2316182Z c29b96e36bd0: Pulling fs layer
2022-11-23T01:15:21.2316459Z 304d3c6c28d0: Pulling fs layer
2022-11-23T01:15:21.2318662Z fac00e927cfe: Pulling fs layer
2022-11-23T01:15:21.2319081Z f0158c8d8420: Pulling fs layer
2022-11-23T01:15:21.2319373Z 3ceac802dd07: Pulling fs layer
2022-11-23T01:15:21.2319591Z 0d0e625ba887: Pulling fs layer
2022-11-23T01:15:21.2319800Z bc2be817cb7e: Pulling fs layer
2022-11-23T01:15:21.2320013Z 11eb2106b948: Pulling fs layer
2022-11-23T01:15:21.2320252Z 34fa4193c7a6: Pulling fs layer
2022-11-23T01:15:21.2320534Z a7cf5b3894f8: Pulling fs layer
2022-11-23T01:15:21.2320808Z 888240790290: Waiting
2022-11-23T01:15:21.2325521Z 3f6b06edd3f5: Pulling fs layer
2022-11-23T01:15:21.2325930Z 73a2b1f75a3d: Pulling fs layer
2022-11-23T01:15:21.2326251Z ba6235196410: Pulling fs layer
2022-11-23T01:15:21.2326558Z 879cdaf83543: Pulling fs layer
2022-11-23T01:15:21.2326832Z 6ff0fc00b0a9: Pulling fs layer
2022-11-23T01:15:21.2327081Z 4e4521f12f5a: Waiting
2022-11-23T01:15:21.2327298Z a58b9ed071f4: Pulling fs layer
2022-11-23T01:15:21.2327596Z a8c562f6a1cf: Pulling fs layer
2022-11-23T01:15:21.2327890Z f6e1a56cb32d: Waiting
2022-11-23T01:15:21.2328203Z 0a39b4492650: Pulling fs layer
2022-11-23T01:15:21.2328481Z 304d3c6c28d0: Waiting
2022-11-23T01:15:21.2328776Z 9088ff8de269: Pulling fs layer
2022-11-23T01:15:21.2329073Z fac00e927cfe: Waiting
2022-11-23T01:15:21.2329343Z 515fe5e34eb4: Waiting
2022-11-23T01:15:21.2341521Z 165006759af3: Pulling fs layer
2022-11-23T01:15:21.2341865Z f0158c8d8420: Waiting
2022-11-23T01:15:21.2342171Z ae48b7377a0d: Pulling fs layer
2022-11-23T01:15:21.2342463Z 3ceac802dd07: Waiting
2022-11-23T01:15:21.2342725Z b18965f4b6f1: Pulling fs layer
2022-11-23T01:15:21.2343045Z 102ddcd90753: Pulling fs layer
2022-11-23T01:15:21.2343312Z 5f5dd1cba120: Pulling fs layer
2022-11-23T01:15:21.2343504Z 11eb2106b948: Waiting
2022-11-23T01:15:21.2343692Z c29b96e36bd0: Waiting
2022-11-23T01:15:21.2343874Z 0d0e625ba887: Waiting
2022-11-23T01:15:21.2344244Z bc2be817cb7e: Waiting
2022-11-23T01:15:21.2344435Z a58b9ed071f4: Waiting
2022-11-23T01:15:21.2344618Z 0a39b4492650: Waiting
2022-11-23T01:15:21.2344857Z a8c562f6a1cf: Waiting
2022-11-23T01:15:21.2345071Z 9088ff8de269: Waiting
2022-11-23T01:15:21.2345328Z 165006759af3: Waiting
2022-11-23T01:15:21.2345548Z ae48b7377a0d: Waiting
2022-11-23T01:15:21.2345749Z b18965f4b6f1: Waiting
2022-11-23T01:15:21.2345988Z 102ddcd90753: Waiting
2022-11-23T01:15:21.2346232Z 5f5dd1cba120: Waiting
2022-11-23T01:15:21.2346468Z 8a7f50c8b503: Pulling fs layer
2022-11-23T01:15:21.2346713Z 34fa4193c7a6: Waiting
2022-11-23T01:15:21.2346970Z a7cf5b3894f8: Waiting
2022-11-23T01:15:21.2347237Z 863c35620b44: Pulling fs layer
2022-11-23T01:15:21.2347518Z 183e4209dc37: Pulling fs layer
2022-11-23T01:15:21.2347795Z a47cba6c334e: Pulling fs layer
2022-11-23T01:15:21.2348066Z ba6235196410: Waiting
2022-11-23T01:15:21.2348344Z 73a2b1f75a3d: Waiting
2022-11-23T01:15:21.2348612Z a9f3d4742233: Pulling fs layer
2022-11-23T01:15:21.2348875Z 6ff0fc00b0a9: Waiting
2022-11-23T01:15:21.2349128Z 879cdaf83543: Waiting
2022-11-23T01:15:21.2349397Z 3cefa8a4607f: Pulling fs layer
2022-11-23T01:15:21.2349670Z 023a41fa48e6: Pulling fs layer
2022-11-23T01:15:21.2349959Z 96e251412f4d: Pulling fs layer
2022-11-23T01:15:21.2350305Z 8a7f50c8b503: Waiting
2022-11-23T01:15:21.2350513Z a9f3d4742233: Waiting
2022-11-23T01:15:21.2350743Z 49d40c00cf56: Pulling fs layer
2022-11-23T01:15:21.2350968Z a47cba6c334e: Waiting
2022-11-23T01:15:21.2351573Z 7e2d6313145f: Pulling fs layer
2022-11-23T01:15:21.2351766Z 3cefa8a4607f: Waiting
2022-11-23T01:15:21.2351959Z 96805775a692: Pulling fs layer
2022-11-23T01:15:21.2352143Z 863c35620b44: Waiting
2022-11-23T01:15:21.2352321Z 49d40c00cf56: Waiting
2022-11-23T01:15:21.2352514Z 75f1ead35ace: Pulling fs layer
2022-11-23T01:15:21.2352703Z 96e251412f4d: Waiting
2022-11-23T01:15:21.2352884Z 023a41fa48e6: Waiting
2022-11-23T01:15:21.2353062Z 7e2d6313145f: Waiting
2022-11-23T01:15:21.2353246Z 793c37004dab: Pulling fs layer
2022-11-23T01:15:21.2353441Z 96805775a692: Waiting
2022-11-23T01:15:21.2353658Z cadc5661750d: Pulling fs layer
2022-11-23T01:15:21.2353883Z 6386b2adbe28: Pulling fs layer
2022-11-23T01:15:21.2354096Z 74aa250bc82f: Pulling fs layer
2022-11-23T01:15:21.2354303Z 436525efe61d: Pulling fs layer
2022-11-23T01:15:21.2354495Z 793c37004dab: Waiting
2022-11-23T01:15:21.2354671Z 183e4209dc37: Waiting
2022-11-23T01:15:21.2354865Z 596be1fe0bda: Pulling fs layer
2022-11-23T01:15:21.2355073Z 772fa4efddc3: Pulling fs layer
2022-11-23T01:15:21.2355272Z 91ddf385377b: Pulling fs layer
2022-11-23T01:15:21.2355476Z 9f7cfb895784: Pulling fs layer
2022-11-23T01:15:21.2355673Z 596be1fe0bda: Waiting
2022-11-23T01:15:21.2355866Z 8b8218af0479: Pulling fs layer
2022-11-23T01:15:21.2356059Z 74aa250bc82f: Waiting
2022-11-23T01:15:21.2356246Z 3f6b06edd3f5: Waiting
2022-11-23T01:15:21.2356424Z 772fa4efddc3: Waiting
2022-11-23T01:15:21.2356607Z 436525efe61d: Waiting
2022-11-23T01:15:21.2356788Z 91ddf385377b: Waiting
2022-11-23T01:15:21.2356961Z 9f7cfb895784: Waiting
2022-11-23T01:15:21.2357145Z 8b8218af0479: Waiting
2022-11-23T01:15:21.3732962Z c58c079e9b17: Verifying Checksum
2022-11-23T01:15:21.3733363Z c58c079e9b17: Download complete
2022-11-23T01:15:21.4636972Z 888240790290: Verifying Checksum
2022-11-23T01:15:21.4637239Z 888240790290: Download complete
2022-11-23T01:15:21.5273172Z e5b80b8bbe91: Verifying Checksum
2022-11-23T01:15:21.5273433Z e5b80b8bbe91: Download complete
2022-11-23T01:15:21.5473734Z a404e5416296: Verifying Checksum
2022-11-23T01:15:21.5473975Z a404e5416296: Download complete
2022-11-23T01:15:21.5659995Z 515fe5e34eb4: Verifying Checksum
2022-11-23T01:15:21.5660250Z 515fe5e34eb4: Download complete
2022-11-23T01:15:21.6224509Z f6e1a56cb32d: Download complete
2022-11-23T01:15:21.6986007Z 304d3c6c28d0: Download complete
2022-11-23T01:15:21.7825793Z fac00e927cfe: Verifying Checksum
2022-11-23T01:15:21.7826071Z fac00e927cfe: Download complete
2022-11-23T01:15:22.1702874Z a404e5416296: Pull complete
2022-11-23T01:15:22.4111616Z c58c079e9b17: Pull complete
2022-11-23T01:15:22.8682377Z e5b80b8bbe91: Pull complete
2022-11-23T01:15:22.9504683Z 888240790290: Pull complete
2022-11-23T01:15:23.0737428Z 515fe5e34eb4: Pull complete
2022-11-23T01:15:23.8340490Z f0158c8d8420: Verifying Checksum
2022-11-23T01:15:23.8341557Z f0158c8d8420: Download complete
2022-11-23T01:15:23.9164204Z 3ceac802dd07: Verifying Checksum
2022-11-23T01:15:23.9164591Z 3ceac802dd07: Download complete
2022-11-23T01:15:23.9868530Z 0d0e625ba887: Verifying Checksum
2022-11-23T01:15:23.9869180Z 0d0e625ba887: Download complete
2022-11-23T01:15:24.1005667Z bc2be817cb7e: Verifying Checksum
2022-11-23T01:15:24.1006074Z bc2be817cb7e: Download complete
2022-11-23T01:15:24.8208674Z 11eb2106b948: Verifying Checksum
2022-11-23T01:15:24.8208956Z 11eb2106b948: Download complete
2022-11-23T01:15:24.9018370Z 34fa4193c7a6: Download complete
2022-11-23T01:15:24.9819780Z a7cf5b3894f8: Verifying Checksum
2022-11-23T01:15:24.9820218Z a7cf5b3894f8: Download complete
2022-11-23T01:15:32.7355366Z 4e4521f12f5a: Verifying Checksum
2022-11-23T01:15:32.7355634Z 4e4521f12f5a: Download complete
2022-11-23T01:15:32.8041855Z 73a2b1f75a3d: Verifying Checksum
2022-11-23T01:15:32.8042162Z 73a2b1f75a3d: Download complete
2022-11-23T01:15:32.8729835Z ba6235196410: Verifying Checksum
2022-11-23T01:15:32.8730240Z ba6235196410: Download complete
2022-11-23T01:15:32.9616300Z 879cdaf83543: Download complete
2022-11-23T01:15:33.0393159Z 6ff0fc00b0a9: Verifying Checksum
2022-11-23T01:15:33.0393749Z 6ff0fc00b0a9: Download complete
2022-11-23T01:15:33.1138978Z a58b9ed071f4: Verifying Checksum
2022-11-23T01:15:33.1139554Z a58b9ed071f4: Download complete
2022-11-23T01:15:33.1935832Z a8c562f6a1cf: Verifying Checksum
2022-11-23T01:15:33.1936190Z a8c562f6a1cf: Download complete
2022-11-23T01:15:34.1389139Z 0a39b4492650: Verifying Checksum
2022-11-23T01:15:34.1389494Z 0a39b4492650: Download complete
2022-11-23T01:15:34.2676270Z 9088ff8de269: Download complete
2022-11-23T01:15:34.3499818Z 165006759af3: Verifying Checksum
2022-11-23T01:15:34.3500132Z 165006759af3: Download complete
2022-11-23T01:15:34.4480926Z ae48b7377a0d: Verifying Checksum
2022-11-23T01:15:34.4481206Z ae48b7377a0d: Download complete
2022-11-23T01:15:34.5277306Z b18965f4b6f1: Download complete
2022-11-23T01:15:34.5888716Z 102ddcd90753: Verifying Checksum
2022-11-23T01:15:34.5889032Z 102ddcd90753: Download complete
2022-11-23T01:15:35.9147880Z c29b96e36bd0: Verifying Checksum
2022-11-23T01:15:35.9148468Z c29b96e36bd0: Download complete
2022-11-23T01:15:36.3194849Z 8a7f50c8b503: Verifying Checksum
2022-11-23T01:15:36.3195102Z 8a7f50c8b503: Download complete
2022-11-23T01:15:36.4050978Z 863c35620b44: Verifying Checksum
2022-11-23T01:15:36.4051274Z 863c35620b44: Download complete
2022-11-23T01:15:36.5686735Z 5f5dd1cba120: Verifying Checksum
2022-11-23T01:15:36.5687039Z 5f5dd1cba120: Download complete
2022-11-23T01:15:36.6400098Z a47cba6c334e: Verifying Checksum
2022-11-23T01:15:36.6400407Z a47cba6c334e: Download complete
2022-11-23T01:15:36.7976817Z 183e4209dc37: Download complete
2022-11-23T01:15:36.8251277Z a9f3d4742233: Verifying Checksum
2022-11-23T01:15:36.8251599Z a9f3d4742233: Download complete
2022-11-23T01:15:36.8915093Z 023a41fa48e6: Download complete
2022-11-23T01:15:37.0903543Z 3cefa8a4607f: Download complete
2022-11-23T01:15:37.1806637Z 49d40c00cf56: Verifying Checksum
2022-11-23T01:15:37.1807039Z 49d40c00cf56: Download complete
2022-11-23T01:15:37.2619953Z 7e2d6313145f: Download complete
2022-11-23T01:15:37.3330432Z 96e251412f4d: Verifying Checksum
2022-11-23T01:15:37.3330864Z 96e251412f4d: Download complete
2022-11-23T01:15:37.4008229Z 75f1ead35ace: Verifying Checksum
2022-11-23T01:15:37.4008650Z 75f1ead35ace: Download complete
2022-11-23T01:15:37.4667724Z 793c37004dab: Download complete
2022-11-23T01:15:37.5512644Z cadc5661750d: Verifying Checksum
2022-11-23T01:15:37.5512995Z cadc5661750d: Download complete
2022-11-23T01:15:37.6081056Z 6386b2adbe28: Verifying Checksum
2022-11-23T01:15:37.6081341Z 6386b2adbe28: Download complete
2022-11-23T01:15:37.7821043Z 74aa250bc82f: Verifying Checksum
2022-11-23T01:15:37.7823333Z 74aa250bc82f: Download complete
2022-11-23T01:15:37.8655202Z 436525efe61d: Verifying Checksum
2022-11-23T01:15:37.8655746Z 436525efe61d: Download complete
2022-11-23T01:15:38.4618282Z 596be1fe0bda: Verifying Checksum
2022-11-23T01:15:38.4618598Z 596be1fe0bda: Download complete
2022-11-23T01:15:38.5392348Z 772fa4efddc3: Verifying Checksum
2022-11-23T01:15:38.5392698Z 772fa4efddc3: Download complete
2022-11-23T01:15:41.9233120Z 96805775a692: Verifying Checksum
2022-11-23T01:15:41.9233497Z 96805775a692: Download complete
2022-11-23T01:15:42.0097667Z 9f7cfb895784: Verifying Checksum
2022-11-23T01:15:42.0097973Z 9f7cfb895784: Download complete
2022-11-23T01:15:42.0760343Z 8b8218af0479: Download complete
2022-11-23T01:15:44.7746007Z 3f6b06edd3f5: Verifying Checksum
2022-11-23T01:15:44.7746396Z 3f6b06edd3f5: Download complete
2022-11-23T01:15:46.3811837Z 4e4521f12f5a: Pull complete
2022-11-23T01:15:46.9423666Z f6e1a56cb32d: Pull complete
2022-11-23T01:16:03.2333946Z c29b96e36bd0: Pull complete
2022-11-23T01:16:03.4694342Z 304d3c6c28d0: Pull complete
2022-11-23T01:16:03.7038327Z fac00e927cfe: Pull complete
2022-11-23T01:16:08.2380952Z f0158c8d8420: Pull complete
2022-11-23T01:16:08.4781553Z 3ceac802dd07: Pull complete
2022-11-23T01:16:08.5348803Z 91ddf385377b: Verifying Checksum
2022-11-23T01:16:08.5350540Z 91ddf385377b: Download complete
2022-11-23T01:16:08.7260976Z 0d0e625ba887: Pull complete
2022-11-23T01:16:08.9588201Z bc2be817cb7e: Pull complete
2022-11-23T01:16:10.6049933Z 11eb2106b948: Pull complete
2022-11-23T01:16:10.8481317Z 34fa4193c7a6: Pull complete
2022-11-23T01:16:11.0820733Z a7cf5b3894f8: Pull complete
2022-11-23T01:16:38.7618053Z 3f6b06edd3f5: Pull complete
2022-11-23T01:16:38.9841299Z 73a2b1f75a3d: Pull complete
2022-11-23T01:16:39.1988953Z ba6235196410: Pull complete
2022-11-23T01:16:39.4221880Z 879cdaf83543: Pull complete
2022-11-23T01:16:39.6478528Z 6ff0fc00b0a9: Pull complete
2022-11-23T01:16:39.8877767Z a58b9ed071f4: Pull complete
2022-11-23T01:16:40.1177963Z a8c562f6a1cf: Pull complete
2022-11-23T01:16:42.2329892Z 0a39b4492650: Pull complete
2022-11-23T01:16:42.4836295Z 9088ff8de269: Pull complete
2022-11-23T01:16:42.7084178Z 165006759af3: Pull complete
2022-11-23T01:16:42.9753613Z ae48b7377a0d: Pull complete
2022-11-23T01:16:43.2097920Z b18965f4b6f1: Pull complete
2022-11-23T01:16:43.4239669Z 102ddcd90753: Pull complete
2022-11-23T01:16:47.8565925Z 5f5dd1cba120: Pull complete
2022-11-23T01:16:48.0805860Z 8a7f50c8b503: Pull complete
2022-11-23T01:16:48.2907272Z 863c35620b44: Pull complete
2022-11-23T01:16:49.2013738Z 183e4209dc37: Pull complete
2022-11-23T01:16:49.4246839Z a47cba6c334e: Pull complete
2022-11-23T01:16:49.6594068Z a9f3d4742233: Pull complete
2022-11-23T01:16:50.1182498Z 3cefa8a4607f: Pull complete
2022-11-23T01:16:50.3444118Z 023a41fa48e6: Pull complete
2022-11-23T01:16:51.5902660Z 96e251412f4d: Pull complete
2022-11-23T01:16:51.8246713Z 49d40c00cf56: Pull complete
2022-11-23T01:16:52.0345861Z 7e2d6313145f: Pull complete
2022-11-23T01:16:56.9622097Z 96805775a692: Pull complete
2022-11-23T01:16:57.1128353Z 75f1ead35ace: Pull complete
2022-11-23T01:16:57.2554627Z 793c37004dab: Pull complete
2022-11-23T01:16:57.4319317Z cadc5661750d: Pull complete
2022-11-23T01:16:57.6391282Z 6386b2adbe28: Pull complete
2022-11-23T01:16:58.4956003Z 74aa250bc82f: Pull complete
2022-11-23T01:16:58.7193487Z 436525efe61d: Pull complete
2022-11-23T01:17:00.4397887Z 596be1fe0bda: Pull complete
2022-11-23T01:17:00.6161537Z 772fa4efddc3: Pull complete
2022-11-23T01:17:33.1651159Z 91ddf385377b: Pull complete
2022-11-23T01:17:33.3206377Z 9f7cfb895784: Pull complete
2022-11-23T01:17:33.4036402Z 8b8218af0479: Pull complete
2022-11-23T01:17:33.4158501Z Digest: sha256:3a5626edfb2c43fb24303351be75287af92426b6bb7c6df2defc98f980346c6a
2022-11-23T01:17:33.4193489Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:17:33.4219881Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:17:33.4293248Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2022-11-23T01:17:33.4293598Z with:
2022-11-23T01:17:33.4293792Z   driver-version: 515.76
2022-11-23T01:17:33.4293987Z env:
2022-11-23T01:17:33.4294173Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:17:33.4294377Z ##[endgroup]
2022-11-23T01:17:33.4319257Z ##[group]Run nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767
2022-11-23T01:17:33.4319498Z with:
2022-11-23T01:17:33.4319679Z   timeout_minutes: 10
2022-11-23T01:17:33.4319877Z   max_attempts: 3
2022-11-23T01:17:33.4324469Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"
YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y nvidia-docker2
        sudo systemctl restart docker
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x

        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms

        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            sudo yum groupinstall -y "Development Tools"
            # ensure our kernel install is the same as our underlying kernel,
            # groupinstall "Development Tools" has a habit of mismatching kernel headers
            sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
            sudo modprobe backlight
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi

        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e
            nvidia-smi
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all" >> "${GITHUB_ENV}"

2022-11-23T01:17:33.4328955Z   retry_wait_seconds: 10
2022-11-23T01:17:33.4329175Z   polling_interval_seconds: 1
2022-11-23T01:17:33.4329395Z   warning_on_retry: true
2022-11-23T01:17:33.4329597Z   continue_on_error: false
2022-11-23T01:17:33.4329790Z env:
2022-11-23T01:17:33.4329981Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:17:33.4330185Z   DRIVER_VERSION: 515.76
2022-11-23T01:17:33.4330381Z ##[endgroup]
2022-11-23T01:17:33.4719228Z 
2022-11-23T01:17:33.4734682Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:17:33.4763224Z == Installing nvidia driver NVIDIA-Linux-x86_64-515.76.run ==
2022-11-23T01:17:33.4764413Z + sudo yum remove -y nvidia-driver-latest-dkms
2022-11-23T01:17:33.8737879Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:17:33.9138090Z No Match for argument: nvidia-driver-latest-dkms
2022-11-23T01:17:33.9379179Z No Packages marked for removal
2022-11-23T01:17:33.9497430Z + echo 'Before installing NVIDIA driver'
2022-11-23T01:17:33.9497697Z + lspci
2022-11-23T01:17:33.9497895Z Before installing NVIDIA driver
2022-11-23T01:17:33.9583937Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2022-11-23T01:17:33.9584437Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2022-11-23T01:17:33.9585108Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2022-11-23T01:17:33.9585704Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2022-11-23T01:17:33.9586365Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2022-11-23T01:17:33.9586826Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2022-11-23T01:17:33.9587782Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2022-11-23T01:17:33.9588542Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2022-11-23T01:17:33.9588962Z + lsmod
2022-11-23T01:17:33.9598068Z Module                  Size  Used by
2022-11-23T01:17:33.9598875Z nvidia_modeset       1142784  0
2022-11-23T01:17:33.9599505Z nvidia_uvm           1269760  0
2022-11-23T01:17:33.9599959Z veth                   16384  0
2022-11-23T01:17:33.9600332Z nvidia              40808448  12 nvidia_uvm,nvidia_modeset
2022-11-23T01:17:33.9600619Z drm                   425984  1 nvidia
2022-11-23T01:17:33.9601014Z i2c_core               77824  2 nvidia,drm
2022-11-23T01:17:33.9601778Z backlight              16384  1 nvidia_modeset
2022-11-23T01:17:33.9602047Z xt_conntrack           16384  1
2022-11-23T01:17:33.9602308Z ipt_MASQUERADE         16384  1
2022-11-23T01:17:33.9602674Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2022-11-23T01:17:33.9602935Z nf_conntrack_netlink    49152  0
2022-11-23T01:17:33.9603248Z nfnetlink              16384  2 nf_conntrack_netlink
2022-11-23T01:17:33.9604486Z xfrm_user              45056  1
2022-11-23T01:17:33.9604848Z xfrm_algo              16384  1 xfrm_user
2022-11-23T01:17:33.9605285Z xt_addrtype            16384  2
2022-11-23T01:17:33.9605766Z iptable_filter         16384  1
2022-11-23T01:17:33.9606219Z iptable_nat            16384  1
2022-11-23T01:17:33.9606520Z nf_conntrack_ipv4      16384  3
2022-11-23T01:17:33.9606815Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2022-11-23T01:17:33.9607169Z nf_nat_ipv4            16384  1 iptable_nat
2022-11-23T01:17:33.9607460Z nf_nat                 36864  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2022-11-23T01:17:33.9608076Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2022-11-23T01:17:33.9608673Z br_netfilter           24576  0
2022-11-23T01:17:33.9608952Z bridge                172032  1 br_netfilter
2022-11-23T01:17:33.9609450Z stp                    16384  1 bridge
2022-11-23T01:17:33.9609922Z llc                    16384  2 bridge,stp
2022-11-23T01:17:33.9645655Z overlay                86016  0
2022-11-23T01:17:33.9645932Z sunrpc                393216  1
2022-11-23T01:17:33.9646190Z dm_mirror              28672  0
2022-11-23T01:17:33.9646461Z dm_region_hash         20480  1 dm_mirror
2022-11-23T01:17:33.9646705Z dm_log                 20480  2 dm_region_hash,dm_mirror
2022-11-23T01:17:33.9646944Z dm_mod                143360  2 dm_log,dm_mirror
2022-11-23T01:17:33.9647193Z dax                    69632  1 dm_mod
2022-11-23T01:17:33.9647391Z crc32_pclmul           16384  0
2022-11-23T01:17:33.9647595Z ghash_clmulni_intel    16384  0
2022-11-23T01:17:33.9647799Z pcbc                   16384  0
2022-11-23T01:17:33.9647987Z aesni_intel           188416  0
2022-11-23T01:17:33.9648190Z aes_x86_64             20480  1 aesni_intel
2022-11-23T01:17:33.9648411Z crypto_simd            16384  1 aesni_intel
2022-11-23T01:17:33.9648627Z glue_helper            16384  1 aesni_intel
2022-11-23T01:17:33.9648900Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2022-11-23T01:17:33.9649157Z mousedev               24576  0
2022-11-23T01:17:33.9649346Z evdev                  20480  3
2022-11-23T01:17:33.9649544Z psmouse                32768  0
2022-11-23T01:17:33.9649745Z button                 16384  0
2022-11-23T01:17:33.9649935Z ena                   114688  0
2022-11-23T01:17:33.9650127Z crc32c_intel           24576  0
2022-11-23T01:17:33.9650327Z autofs4                49152  2
2022-11-23T01:17:33.9650512Z + modinfo nvidia
2022-11-23T01:17:33.9650975Z filename:       /lib/modules/4.14.252-195.483.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2022-11-23T01:17:33.9651252Z firmware:       nvidia/515.76/gsp.bin
2022-11-23T01:17:33.9651515Z alias:          char-major-195-*
2022-11-23T01:17:33.9651718Z version:        515.76
2022-11-23T01:17:33.9651920Z supported:      external
2022-11-23T01:17:33.9652120Z license:        NVIDIA
2022-11-23T01:17:33.9652498Z srcversion:     51FD9DD90150B35351AFFBB
2022-11-23T01:17:33.9652795Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2022-11-23T01:17:33.9653045Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2022-11-23T01:17:33.9653282Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2022-11-23T01:17:33.9653543Z depends:        i2c-core,drm
2022-11-23T01:17:33.9653751Z retpoline:      Y
2022-11-23T01:17:33.9653935Z name:           nvidia
2022-11-23T01:17:33.9654245Z vermagic:       4.14.252-195.483.amzn2.x86_64 SMP mod_unload modversions 
2022-11-23T01:17:33.9654540Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2022-11-23T01:17:33.9654843Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2022-11-23T01:17:33.9655130Z parm:           NVreg_ResmanDebugLevel:int
2022-11-23T01:17:33.9655367Z parm:           NVreg_RmLogonRC:int
2022-11-23T01:17:33.9655606Z parm:           NVreg_ModifyDeviceFiles:int
2022-11-23T01:17:33.9655837Z parm:           NVreg_DeviceFileUID:int
2022-11-23T01:17:33.9656075Z parm:           NVreg_DeviceFileGID:int
2022-11-23T01:17:33.9656315Z parm:           NVreg_DeviceFileMode:int
2022-11-23T01:17:33.9656593Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2022-11-23T01:17:33.9656886Z parm:           NVreg_UsePageAttributeTable:int
2022-11-23T01:17:33.9657140Z parm:           NVreg_EnablePCIeGen3:int
2022-11-23T01:17:33.9657365Z parm:           NVreg_EnableMSI:int
2022-11-23T01:17:33.9657594Z parm:           NVreg_TCEBypassMode:int
2022-11-23T01:17:33.9657843Z parm:           NVreg_EnableStreamMemOPs:int
2022-11-23T01:17:33.9658117Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2022-11-23T01:17:33.9658420Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2022-11-23T01:17:33.9658712Z parm:           NVreg_EnableS0ixPowerManagement:int
2022-11-23T01:17:33.9659263Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2022-11-23T01:17:33.9659573Z parm:           NVreg_DynamicPowerManagement:int
2022-11-23T01:17:33.9659897Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2022-11-23T01:17:33.9660208Z parm:           NVreg_EnableGpuFirmware:int
2022-11-23T01:17:33.9660458Z parm:           NVreg_EnableGpuFirmwareLogs:int
2022-11-23T01:17:33.9660741Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2022-11-23T01:17:33.9661030Z parm:           NVreg_EnableUserNUMAManagement:int
2022-11-23T01:17:33.9661280Z parm:           NVreg_MemoryPoolSize:int
2022-11-23T01:17:33.9661526Z parm:           NVreg_KMallocHeapMaxSize:int
2022-11-23T01:17:33.9661781Z parm:           NVreg_VMallocHeapMaxSize:int
2022-11-23T01:17:33.9662013Z parm:           NVreg_IgnoreMMIOCheck:int
2022-11-23T01:17:33.9662249Z parm:           NVreg_NvLinkDisable:int
2022-11-23T01:17:33.9662520Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2022-11-23T01:17:33.9662786Z parm:           NVreg_RegisterPCIDriver:int
2022-11-23T01:17:33.9663039Z parm:           NVreg_EnableDbgBreakpoint:int
2022-11-23T01:17:33.9663292Z parm:           NVreg_RegistryDwords:charp
2022-11-23T01:17:33.9663553Z parm:           NVreg_RegistryDwordsPerDevice:charp
2022-11-23T01:17:33.9663797Z parm:           NVreg_RmMsg:charp
2022-11-23T01:17:33.9664022Z parm:           NVreg_GpuBlacklist:charp
2022-11-23T01:17:33.9664269Z parm:           NVreg_TemporaryFilePath:charp
2022-11-23T01:17:33.9664505Z parm:           NVreg_ExcludedGpus:charp
2022-11-23T01:17:33.9664746Z parm:           NVreg_DmaRemapPeerMmio:int
2022-11-23T01:17:33.9664987Z parm:           rm_firmware_active:charp
2022-11-23T01:17:33.9665197Z + HAS_NVIDIA_DRIVER=0
2022-11-23T01:17:33.9665438Z ++ command -v nvidia-smi
2022-11-23T01:17:33.9665684Z + '[' -x /usr/bin/nvidia-smi ']'
2022-11-23T01:17:33.9665882Z + set +e
2022-11-23T01:17:33.9666188Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2022-11-23T01:17:36.3219617Z + INSTALLED_DRIVER_VERSION=515.76
2022-11-23T01:17:36.3219892Z + NVIDIA_SMI_STATUS=0
2022-11-23T01:17:36.3221082Z + '[' 0 -ne 0 ']'
2022-11-23T01:17:36.3222061Z + '[' 515.76 '!=' 515.76 ']'
2022-11-23T01:17:36.3222576Z + HAS_NVIDIA_DRIVER=1
2022-11-23T01:17:36.3223392Z + echo 'NVIDIA driver (515.76) has already been installed. Skipping NVIDIA driver installation'
2022-11-23T01:17:36.3223885Z + set -e
2022-11-23T01:17:36.3224092Z + '[' 1 -eq 0 ']'
2022-11-23T01:17:36.3224286Z + sudo modprobe nvidia
2022-11-23T01:17:36.3224561Z NVIDIA driver (515.76) has already been installed. Skipping NVIDIA driver installation
2022-11-23T01:17:36.3324595Z + echo 'After installing NVIDIA driver'
2022-11-23T01:17:36.3324960Z + lspci
2022-11-23T01:17:36.3325303Z After installing NVIDIA driver
2022-11-23T01:17:36.3411403Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2022-11-23T01:17:36.3411846Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2022-11-23T01:17:36.3412409Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2022-11-23T01:17:36.3412873Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2022-11-23T01:17:36.3413300Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2022-11-23T01:17:36.3413650Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2022-11-23T01:17:36.3413963Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2022-11-23T01:17:36.3414329Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2022-11-23T01:17:36.3414589Z + lsmod
2022-11-23T01:17:36.3424904Z Module                  Size  Used by
2022-11-23T01:17:36.3425225Z nvidia_modeset       1142784  0
2022-11-23T01:17:36.3425538Z nvidia_uvm           1269760  0
2022-11-23T01:17:36.3425987Z veth                   16384  0
2022-11-23T01:17:36.3426310Z nvidia              40808448  18 nvidia_uvm,nvidia_modeset
2022-11-23T01:17:36.3426618Z drm                   425984  1 nvidia
2022-11-23T01:17:36.3426844Z i2c_core               77824  2 nvidia,drm
2022-11-23T01:17:36.3427129Z backlight              16384  1 nvidia_modeset
2022-11-23T01:17:36.3427435Z xt_conntrack           16384  1
2022-11-23T01:17:36.3427743Z ipt_MASQUERADE         16384  1
2022-11-23T01:17:36.3428069Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2022-11-23T01:17:36.3428329Z nf_conntrack_netlink    49152  0
2022-11-23T01:17:36.3428618Z nfnetlink              16384  2 nf_conntrack_netlink
2022-11-23T01:17:36.3428878Z xfrm_user              45056  1
2022-11-23T01:17:36.3429171Z xfrm_algo              16384  1 xfrm_user
2022-11-23T01:17:36.3429473Z xt_addrtype            16384  2
2022-11-23T01:17:36.3429691Z iptable_filter         16384  1
2022-11-23T01:17:36.3429906Z iptable_nat            16384  1
2022-11-23T01:17:36.3430188Z nf_conntrack_ipv4      16384  3
2022-11-23T01:17:36.3430422Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2022-11-23T01:17:36.3430664Z nf_nat_ipv4            16384  1 iptable_nat
2022-11-23T01:17:36.3430912Z nf_nat                 36864  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2022-11-23T01:17:36.3431285Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2022-11-23T01:17:36.3431605Z br_netfilter           24576  0
2022-11-23T01:17:36.3431818Z bridge                172032  1 br_netfilter
2022-11-23T01:17:36.3432037Z stp                    16384  1 bridge
2022-11-23T01:17:36.3432259Z llc                    16384  2 bridge,stp
2022-11-23T01:17:36.3432461Z overlay                86016  0
2022-11-23T01:17:36.3432664Z sunrpc                393216  1
2022-11-23T01:17:36.3432862Z dm_mirror              28672  0
2022-11-23T01:17:36.3433081Z dm_region_hash         20480  1 dm_mirror
2022-11-23T01:17:36.3433334Z dm_log                 20480  2 dm_region_hash,dm_mirror
2022-11-23T01:17:36.3433686Z dm_mod                143360  2 dm_log,dm_mirror
2022-11-23T01:17:36.3434002Z dax                    69632  1 dm_mod
2022-11-23T01:17:36.3434286Z crc32_pclmul           16384  0
2022-11-23T01:17:36.3434579Z ghash_clmulni_intel    16384  0
2022-11-23T01:17:36.3434858Z pcbc                   16384  0
2022-11-23T01:17:36.3435324Z aesni_intel           188416  0
2022-11-23T01:17:36.3435594Z aes_x86_64             20480  1 aesni_intel
2022-11-23T01:17:36.3435861Z crypto_simd            16384  1 aesni_intel
2022-11-23T01:17:36.3436146Z glue_helper            16384  1 aesni_intel
2022-11-23T01:17:36.3436506Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2022-11-23T01:17:36.3436847Z mousedev               24576  0
2022-11-23T01:17:36.3437108Z evdev                  20480  3
2022-11-23T01:17:36.3437357Z psmouse                32768  0
2022-11-23T01:17:36.3437625Z button                 16384  0
2022-11-23T01:17:36.3437887Z ena                   114688  0
2022-11-23T01:17:36.3438102Z crc32c_intel           24576  0
2022-11-23T01:17:36.3438306Z autofs4                49152  2
2022-11-23T01:17:36.3438504Z + modinfo nvidia
2022-11-23T01:17:36.3438865Z filename:       /lib/modules/4.14.252-195.483.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2022-11-23T01:17:36.3439154Z firmware:       nvidia/515.76/gsp.bin
2022-11-23T01:17:36.3439423Z alias:          char-major-195-*
2022-11-23T01:17:36.3439629Z version:        515.76
2022-11-23T01:17:36.3439833Z supported:      external
2022-11-23T01:17:36.3440038Z license:        NVIDIA
2022-11-23T01:17:36.3440248Z srcversion:     51FD9DD90150B35351AFFBB
2022-11-23T01:17:36.3440503Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2022-11-23T01:17:36.3440766Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2022-11-23T01:17:36.3440997Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2022-11-23T01:17:36.3441264Z depends:        i2c-core,drm
2022-11-23T01:17:36.3441475Z retpoline:      Y
2022-11-23T01:17:36.3441668Z name:           nvidia
2022-11-23T01:17:36.3441968Z vermagic:       4.14.252-195.483.amzn2.x86_64 SMP mod_unload modversions 
2022-11-23T01:17:36.3442266Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2022-11-23T01:17:36.3442586Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2022-11-23T01:17:36.3442868Z parm:           NVreg_ResmanDebugLevel:int
2022-11-23T01:17:36.3443138Z parm:           NVreg_RmLogonRC:int
2022-11-23T01:17:36.3443380Z parm:           NVreg_ModifyDeviceFiles:int
2022-11-23T01:17:36.3443627Z parm:           NVreg_DeviceFileUID:int
2022-11-23T01:17:36.3443854Z parm:           NVreg_DeviceFileGID:int
2022-11-23T01:17:36.3444094Z parm:           NVreg_DeviceFileMode:int
2022-11-23T01:17:36.3444379Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2022-11-23T01:17:36.3444665Z parm:           NVreg_UsePageAttributeTable:int
2022-11-23T01:17:36.3444926Z parm:           NVreg_EnablePCIeGen3:int
2022-11-23T01:17:36.3445160Z parm:           NVreg_EnableMSI:int
2022-11-23T01:17:36.3445385Z parm:           NVreg_TCEBypassMode:int
2022-11-23T01:17:36.3445632Z parm:           NVreg_EnableStreamMemOPs:int
2022-11-23T01:17:36.3445915Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2022-11-23T01:17:36.3446216Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2022-11-23T01:17:36.3446513Z parm:           NVreg_EnableS0ixPowerManagement:int
2022-11-23T01:17:36.3446835Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2022-11-23T01:17:36.3447137Z parm:           NVreg_DynamicPowerManagement:int
2022-11-23T01:17:36.3447462Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2022-11-23T01:17:36.3447776Z parm:           NVreg_EnableGpuFirmware:int
2022-11-23T01:17:36.3448041Z parm:           NVreg_EnableGpuFirmwareLogs:int
2022-11-23T01:17:36.3448316Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2022-11-23T01:17:36.3448610Z parm:           NVreg_EnableUserNUMAManagement:int
2022-11-23T01:17:36.3448870Z parm:           NVreg_MemoryPoolSize:int
2022-11-23T01:17:36.3449114Z parm:           NVreg_KMallocHeapMaxSize:int
2022-11-23T01:17:36.3449371Z parm:           NVreg_VMallocHeapMaxSize:int
2022-11-23T01:17:36.3449620Z parm:           NVreg_IgnoreMMIOCheck:int
2022-11-23T01:17:36.3449853Z parm:           NVreg_NvLinkDisable:int
2022-11-23T01:17:36.3450185Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2022-11-23T01:17:36.3450488Z parm:           NVreg_RegisterPCIDriver:int
2022-11-23T01:17:36.3450739Z parm:           NVreg_EnableDbgBreakpoint:int
2022-11-23T01:17:36.3450995Z parm:           NVreg_RegistryDwords:charp
2022-11-23T01:17:36.3451261Z parm:           NVreg_RegistryDwordsPerDevice:charp
2022-11-23T01:17:36.3451511Z parm:           NVreg_RmMsg:charp
2022-11-23T01:17:36.3451732Z parm:           NVreg_GpuBlacklist:charp
2022-11-23T01:17:36.3451985Z parm:           NVreg_TemporaryFilePath:charp
2022-11-23T01:17:36.3452234Z parm:           NVreg_ExcludedGpus:charp
2022-11-23T01:17:36.3452474Z parm:           NVreg_DmaRemapPeerMmio:int
2022-11-23T01:17:36.3452716Z parm:           rm_firmware_active:charp
2022-11-23T01:17:36.3452923Z + set +e
2022-11-23T01:17:36.3453124Z + nvidia-smi
2022-11-23T01:17:36.3543248Z Wed Nov 23 01:17:36 2022       
2022-11-23T01:17:36.3544378Z +-----------------------------------------------------------------------------+
2022-11-23T01:17:36.3544883Z | NVIDIA-SMI 515.76       Driver Version: 515.76       CUDA Version: 11.7     |
2022-11-23T01:17:36.3545273Z |-------------------------------+----------------------+----------------------+
2022-11-23T01:17:36.3545700Z | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
2022-11-23T01:17:36.3546092Z | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
2022-11-23T01:17:36.3546383Z |                               |                      |               MIG M. |
2022-11-23T01:17:36.3546637Z |===============================+======================+======================|
2022-11-23T01:17:36.4238177Z |   0  NVIDIA A10G         Off  | 00000000:00:1E.0 Off |                    0 |
2022-11-23T01:17:36.4238472Z |  0%   27C    P0    55W / 300W |      0MiB / 23028MiB |      2%      Default |
2022-11-23T01:17:36.4238728Z |                               |                      |                  N/A |
2022-11-23T01:17:36.4239223Z +-------------------------------+----------------------+----------------------+
2022-11-23T01:17:36.4239513Z                                                                                
2022-11-23T01:17:36.4239856Z +-----------------------------------------------------------------------------+
2022-11-23T01:17:36.4240149Z | Processes:                                                                  |
2022-11-23T01:17:36.4240430Z |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
2022-11-23T01:17:36.4240696Z |        ID   ID                                                   Usage      |
2022-11-23T01:17:36.4240939Z |=============================================================================|
2022-11-23T01:17:36.4244503Z |  No running processes found                                                 |
2022-11-23T01:17:36.4244879Z +-----------------------------------------------------------------------------+
2022-11-23T01:17:36.5492438Z + NVIDIA_SMI_STATUS=0
2022-11-23T01:17:36.5492812Z + '[' 0 -eq 0 ']'
2022-11-23T01:17:36.5493160Z + echo 'INFO: Ignoring allowed status 0'
2022-11-23T01:17:36.5493536Z + set -e
2022-11-23T01:17:36.5493940Z INFO: Ignoring allowed status 0
2022-11-23T01:17:36.5496666Z == Installing nvidia container toolkit for amzn2 ==
2022-11-23T01:17:36.5499816Z + sudo yum install -y yum-utils
2022-11-23T01:17:36.9410402Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:17:38.1617688Z Package yum-utils-1.1.31-46.amzn2.0.1.noarch already installed and latest version
2022-11-23T01:17:38.1618232Z Nothing to do
2022-11-23T01:17:38.2416228Z + sudo yum-config-manager --add-repo https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2022-11-23T01:17:38.6536662Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:17:38.6853019Z adding repo from: https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2022-11-23T01:17:38.6853916Z grabbing file https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo to /etc/yum.repos.d/nvidia-docker.repo
2022-11-23T01:17:38.6854560Z repo saved to /etc/yum.repos.d/nvidia-docker.repo
2022-11-23T01:17:38.6971520Z + sudo yum install -y nvidia-docker2
2022-11-23T01:17:39.0731914Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:17:40.2262699Z Package nvidia-docker2-2.11.0-1.noarch already installed and latest version
2022-11-23T01:17:40.2263004Z Nothing to do
2022-11-23T01:17:40.3068845Z + sudo systemctl restart docker
2022-11-23T01:18:27.5301569Z Command completed after 1 attempt(s).
2022-11-23T01:18:27.5301969Z 
2022-11-23T01:18:27.5305632Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:18:27.5341657Z ##[group]Run python3 -m pip install psutil==5.9.1
2022-11-23T01:18:27.5341934Z python3 -m pip install psutil==5.9.1
2022-11-23T01:18:27.5342195Z python3 -m pip install pynvml==11.4.1
2022-11-23T01:18:27.5342487Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2022-11-23T01:18:27.5342789Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2022-11-23T01:18:27.5353801Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:18:27.5354037Z env:
2022-11-23T01:18:27.5354226Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:27.5354432Z   GPU_FLAG: --gpus all
2022-11-23T01:18:27.5354633Z ##[endgroup]
2022-11-23T01:18:27.7533908Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:18:27.7712081Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1)
2022-11-23T01:18:28.2130114Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:18:28.2308970Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1)
2022-11-23T01:18:28.4580430Z Prepare all required actions
2022-11-23T01:18:28.4580704Z Getting action download info
2022-11-23T01:18:28.6268456Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea)
2022-11-23T01:18:28.7973702Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7)
2022-11-23T01:18:28.9312428Z ##[group]Run ./.github/actions/download-build-artifacts
2022-11-23T01:18:28.9312799Z with:
2022-11-23T01:18:28.9313147Z   name: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T01:18:28.9313500Z env:
2022-11-23T01:18:28.9313777Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:28.9314090Z   GPU_FLAG: --gpus all
2022-11-23T01:18:28.9314368Z ##[endgroup]
2022-11-23T01:18:28.9347226Z ##[group]Run seemethere/download-artifact-s3@v4
2022-11-23T01:18:28.9347551Z with:
2022-11-23T01:18:28.9347880Z   name: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T01:18:28.9348248Z   s3-bucket: gha-artifacts
2022-11-23T01:18:28.9348626Z   region: us-east-1
2022-11-23T01:18:28.9348892Z env:
2022-11-23T01:18:28.9349167Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:28.9349479Z   GPU_FLAG: --gpus all
2022-11-23T01:18:28.9349765Z ##[endgroup]
2022-11-23T01:18:29.3347453Z Found 1 objects with prefix pytorch/pytorch/3528293554/linux-bionic-cuda11.6-py3.10-gcc7-sm86/
2022-11-23T01:18:29.3348190Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:18:35.3069622Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:18:35.3069878Z 
2022-11-23T01:18:35.3074008Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:18:35.3075069Z Artifact download has finished successfully
2022-11-23T01:18:35.3268699Z ##[group]Run unzip -o artifacts.zip
2022-11-23T01:18:35.3269025Z unzip -o artifacts.zip
2022-11-23T01:18:35.3280025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:18:35.3280262Z env:
2022-11-23T01:18:35.3280452Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:35.3280664Z   GPU_FLAG: --gpus all
2022-11-23T01:18:35.3280856Z ##[endgroup]
2022-11-23T01:18:35.3313291Z Archive:  artifacts.zip
2022-11-23T01:18:35.3314609Z    creating: dist/
2022-11-23T01:18:36.9051607Z   inflating: dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl  
2022-11-23T01:18:36.9052115Z    creating: build/custom_test_artifacts/
2022-11-23T01:18:36.9052755Z    creating: build/custom_test_artifacts/custom-op-build/
2022-11-23T01:18:36.9053490Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2022-11-23T01:18:36.9058638Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeOutput.log  
2022-11-23T01:18:36.9060427Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/
2022-11-23T01:18:36.9061601Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeSystem.cmake  
2022-11-23T01:18:36.9062288Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdC/
2022-11-23T01:18:36.9062716Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdC/tmp/
2022-11-23T01:18:36.9063185Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdC/CMakeCCompilerId.c  
2022-11-23T01:18:36.9063826Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdC/a.out  
2022-11-23T01:18:36.9064315Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCXX/
2022-11-23T01:18:36.9064769Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCXX/tmp/
2022-11-23T01:18:36.9065246Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2022-11-23T01:18:36.9065849Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCXX/a.out  
2022-11-23T01:18:36.9066339Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_C.bin  
2022-11-23T01:18:36.9066813Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeCCompiler.cmake  
2022-11-23T01:18:36.9067591Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CXX.bin  
2022-11-23T01:18:36.9068070Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeCXXCompiler.cmake  
2022-11-23T01:18:36.9068519Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/
2022-11-23T01:18:36.9068945Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/
2022-11-23T01:18:36.9112157Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
2022-11-23T01:18:36.9113796Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.c  
2022-11-23T01:18:36.9115427Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.gpu  
2022-11-23T01:18:36.9116557Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.stub.c  
2022-11-23T01:18:36.9117642Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2022-11-23T01:18:36.9118692Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.ptx  
2022-11-23T01:18:36.9119740Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.sm_52.cubin  
2022-11-23T01:18:36.9120796Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin  
2022-11-23T01:18:36.9122117Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin.c  
2022-11-23T01:18:36.9149314Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp4.ii  
2022-11-23T01:18:36.9181735Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.cpp  
2022-11-23T01:18:36.9183119Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.o  
2022-11-23T01:18:36.9184120Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.sm_52.cubin  
2022-11-23T01:18:36.9185085Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.reg.c  
2022-11-23T01:18:36.9186049Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin  
2022-11-23T01:18:36.9187023Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin.c  
2022-11-23T01:18:36.9187957Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.o  
2022-11-23T01:18:36.9188920Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/CMakeCUDACompilerId.cu  
2022-11-23T01:18:36.9242384Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CompilerIdCUDA/a.out  
2022-11-23T01:18:36.9300484Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CUDA.bin  
2022-11-23T01:18:36.9301900Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeCUDACompiler.cmake  
2022-11-23T01:18:36.9303104Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/
2022-11-23T01:18:36.9304525Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeError.log  
2022-11-23T01:18:36.9305412Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2022-11-23T01:18:36.9306236Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2022-11-23T01:18:36.9307139Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
2022-11-23T01:18:36.9308089Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make  
2022-11-23T01:18:36.9309009Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make  
2022-11-23T01:18:36.9309884Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt  
2022-11-23T01:18:36.9311395Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake  
2022-11-23T01:18:36.9311982Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make  
2022-11-23T01:18:36.9312448Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2022-11-23T01:18:36.9312892Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
2022-11-23T01:18:36.9313343Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/progress.make  
2022-11-23T01:18:36.9320567Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o.d  
2022-11-23T01:18:36.9410271Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o  
2022-11-23T01:18:36.9410990Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
2022-11-23T01:18:36.9411720Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.ts  
2022-11-23T01:18:36.9412458Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.make  
2022-11-23T01:18:36.9413222Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.make  
2022-11-23T01:18:36.9413700Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/link.txt  
2022-11-23T01:18:36.9414175Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/cmake_clean.cmake  
2022-11-23T01:18:36.9414642Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/build.make  
2022-11-23T01:18:36.9415105Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake  
2022-11-23T01:18:36.9415571Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/flags.make  
2022-11-23T01:18:36.9416042Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/progress.make  
2022-11-23T01:18:36.9429972Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d  
2022-11-23T01:18:36.9496409Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o  
2022-11-23T01:18:36.9497638Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2022-11-23T01:18:36.9499463Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/TargetDirectories.txt  
2022-11-23T01:18:36.9500715Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks  
2022-11-23T01:18:36.9501618Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile2  
2022-11-23T01:18:36.9502153Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile.cmake  
2022-11-23T01:18:36.9502571Z   inflating: build/custom_test_artifacts/custom-op-build/detect_cuda_version.cc  
2022-11-23T01:18:36.9503076Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeCache.txt  
2022-11-23T01:18:36.9503461Z   inflating: build/custom_test_artifacts/custom-op-build/Makefile  
2022-11-23T01:18:36.9503850Z   inflating: build/custom_test_artifacts/custom-op-build/cmake_install.cmake  
2022-11-23T01:18:36.9573380Z   inflating: build/custom_test_artifacts/custom-op-build/libcustom_ops.so  
2022-11-23T01:18:36.9623371Z   inflating: build/custom_test_artifacts/custom-op-build/test_custom_ops  
2022-11-23T01:18:36.9624379Z    creating: build/custom_test_artifacts/jit-hook-build/
2022-11-23T01:18:36.9625332Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/
2022-11-23T01:18:36.9629337Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeOutput.log  
2022-11-23T01:18:36.9630567Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/
2022-11-23T01:18:36.9631687Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeSystem.cmake  
2022-11-23T01:18:36.9632276Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdC/
2022-11-23T01:18:36.9632704Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdC/tmp/
2022-11-23T01:18:36.9633166Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdC/CMakeCCompilerId.c  
2022-11-23T01:18:36.9633614Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdC/a.out  
2022-11-23T01:18:36.9634036Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCXX/
2022-11-23T01:18:36.9634469Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCXX/tmp/
2022-11-23T01:18:36.9634943Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2022-11-23T01:18:36.9635408Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCXX/a.out  
2022-11-23T01:18:36.9636089Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_C.bin  
2022-11-23T01:18:36.9636678Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeCCompiler.cmake  
2022-11-23T01:18:36.9637293Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CXX.bin  
2022-11-23T01:18:36.9637910Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeCXXCompiler.cmake  
2022-11-23T01:18:36.9638356Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/
2022-11-23T01:18:36.9638787Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/
2022-11-23T01:18:36.9682508Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
2022-11-23T01:18:36.9683094Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.c  
2022-11-23T01:18:36.9683650Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.gpu  
2022-11-23T01:18:36.9684203Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.stub.c  
2022-11-23T01:18:36.9684745Z  extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2022-11-23T01:18:36.9685269Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.ptx  
2022-11-23T01:18:36.9685789Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.sm_52.cubin  
2022-11-23T01:18:36.9686306Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin  
2022-11-23T01:18:36.9686922Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin.c  
2022-11-23T01:18:36.9719968Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp4.ii  
2022-11-23T01:18:36.9752523Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.cpp  
2022-11-23T01:18:36.9753069Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.o  
2022-11-23T01:18:36.9753580Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.sm_52.cubin  
2022-11-23T01:18:36.9754054Z  extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.reg.c  
2022-11-23T01:18:36.9754529Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin  
2022-11-23T01:18:36.9755011Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin.c  
2022-11-23T01:18:36.9774331Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.o  
2022-11-23T01:18:36.9774890Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/CMakeCUDACompilerId.cu  
2022-11-23T01:18:36.9813184Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CompilerIdCUDA/a.out  
2022-11-23T01:18:36.9871643Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CUDA.bin  
2022-11-23T01:18:36.9873124Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.22.1/CMakeCUDACompiler.cmake  
2022-11-23T01:18:36.9873994Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeTmp/
2022-11-23T01:18:36.9874800Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeError.log  
2022-11-23T01:18:36.9875624Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/cmake.check_cache  
2022-11-23T01:18:36.9876654Z    creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/
2022-11-23T01:18:36.9877545Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.ts  
2022-11-23T01:18:36.9878493Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.make  
2022-11-23T01:18:36.9879395Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.make  
2022-11-23T01:18:36.9880279Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/link.txt  
2022-11-23T01:18:36.9881192Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/cmake_clean.cmake  
2022-11-23T01:18:36.9881826Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/build.make  
2022-11-23T01:18:36.9882313Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/DependInfo.cmake  
2022-11-23T01:18:36.9882771Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/flags.make  
2022-11-23T01:18:36.9883223Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/progress.make  
2022-11-23T01:18:36.9892259Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o.d  
2022-11-23T01:18:36.9942449Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o  
2022-11-23T01:18:36.9943887Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2022-11-23T01:18:36.9944915Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/TargetDirectories.txt  
2022-11-23T01:18:36.9946087Z  extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/progress.marks  
2022-11-23T01:18:36.9947535Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile2  
2022-11-23T01:18:36.9948416Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile.cmake  
2022-11-23T01:18:36.9949223Z   inflating: build/custom_test_artifacts/jit-hook-build/detect_cuda_version.cc  
2022-11-23T01:18:36.9950004Z   inflating: build/custom_test_artifacts/jit-hook-build/CMakeCache.txt  
2022-11-23T01:18:36.9951276Z   inflating: build/custom_test_artifacts/jit-hook-build/Makefile  
2022-11-23T01:18:36.9951786Z   inflating: build/custom_test_artifacts/jit-hook-build/cmake_install.cmake  
2022-11-23T01:18:36.9985172Z   inflating: build/custom_test_artifacts/jit-hook-build/test_jit_hooks  
2022-11-23T01:18:36.9985761Z    creating: build/custom_test_artifacts/custom-backend-build/
2022-11-23T01:18:36.9986215Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/
2022-11-23T01:18:36.9991110Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeOutput.log  
2022-11-23T01:18:36.9991936Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/
2022-11-23T01:18:36.9992733Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeSystem.cmake  
2022-11-23T01:18:36.9993227Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdC/
2022-11-23T01:18:36.9993704Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdC/tmp/
2022-11-23T01:18:36.9994203Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdC/CMakeCCompilerId.c  
2022-11-23T01:18:36.9994673Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdC/a.out  
2022-11-23T01:18:36.9995125Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCXX/
2022-11-23T01:18:36.9995573Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCXX/tmp/
2022-11-23T01:18:36.9996900Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp  
2022-11-23T01:18:36.9997774Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCXX/a.out  
2022-11-23T01:18:36.9999346Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_C.bin  
2022-11-23T01:18:36.9999844Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeCCompiler.cmake  
2022-11-23T01:18:37.0000704Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CXX.bin  
2022-11-23T01:18:37.0001403Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeCXXCompiler.cmake  
2022-11-23T01:18:37.0001896Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/
2022-11-23T01:18:37.0002368Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/
2022-11-23T01:18:37.0045868Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
2022-11-23T01:18:37.0046543Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.c  
2022-11-23T01:18:37.0047239Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.gpu  
2022-11-23T01:18:37.0047833Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.stub.c  
2022-11-23T01:18:37.0048400Z  extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2022-11-23T01:18:37.0048944Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.ptx  
2022-11-23T01:18:37.0049598Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.sm_52.cubin  
2022-11-23T01:18:37.0050163Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin  
2022-11-23T01:18:37.0050717Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.fatbin.c  
2022-11-23T01:18:37.0082659Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp4.ii  
2022-11-23T01:18:37.0115468Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.cpp  
2022-11-23T01:18:37.0116906Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/CMakeCUDACompilerId.o  
2022-11-23T01:18:37.0118270Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.sm_52.cubin  
2022-11-23T01:18:37.0119561Z  extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.reg.c  
2022-11-23T01:18:37.0120957Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin  
2022-11-23T01:18:37.0121662Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.fatbin.c  
2022-11-23T01:18:37.0122148Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/tmp/a_dlink.o  
2022-11-23T01:18:37.0122665Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/CMakeCUDACompilerId.cu  
2022-11-23T01:18:37.0177590Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CompilerIdCUDA/a.out  
2022-11-23T01:18:37.0235934Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeDetermineCompilerABI_CUDA.bin  
2022-11-23T01:18:37.0237439Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.22.1/CMakeCUDACompiler.cmake  
2022-11-23T01:18:37.0238900Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeTmp/
2022-11-23T01:18:37.0240077Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeError.log  
2022-11-23T01:18:37.0240970Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/cmake.check_cache  
2022-11-23T01:18:37.0241733Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/
2022-11-23T01:18:37.0242264Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.ts  
2022-11-23T01:18:37.0242826Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.make  
2022-11-23T01:18:37.0243594Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.make  
2022-11-23T01:18:37.0244079Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/link.txt  
2022-11-23T01:18:37.0244568Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/cmake_clean.cmake  
2022-11-23T01:18:37.0245056Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/build.make  
2022-11-23T01:18:37.0245538Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/DependInfo.cmake  
2022-11-23T01:18:37.0246026Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/flags.make  
2022-11-23T01:18:37.0246515Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/progress.make  
2022-11-23T01:18:37.0247020Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o.d  
2022-11-23T01:18:37.0359437Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o  
2022-11-23T01:18:37.0359976Z    creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/
2022-11-23T01:18:37.0360598Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.ts  
2022-11-23T01:18:37.0361124Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.make  
2022-11-23T01:18:37.0361669Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.make  
2022-11-23T01:18:37.0362184Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/link.txt  
2022-11-23T01:18:37.0362685Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/cmake_clean.cmake  
2022-11-23T01:18:37.0363193Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/build.make  
2022-11-23T01:18:37.0363688Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/DependInfo.cmake  
2022-11-23T01:18:37.0364190Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/flags.make  
2022-11-23T01:18:37.0364693Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/progress.make  
2022-11-23T01:18:37.0379431Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o.d  
2022-11-23T01:18:37.0426432Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o  
2022-11-23T01:18:37.0427505Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeDirectoryInformation.cmake  
2022-11-23T01:18:37.0428469Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/TargetDirectories.txt  
2022-11-23T01:18:37.0429551Z  extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/progress.marks  
2022-11-23T01:18:37.0430576Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile2  
2022-11-23T01:18:37.0431568Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile.cmake  
2022-11-23T01:18:37.0432052Z   inflating: build/custom_test_artifacts/custom-backend-build/detect_cuda_version.cc  
2022-11-23T01:18:37.0432474Z   inflating: build/custom_test_artifacts/custom-backend-build/CMakeCache.txt  
2022-11-23T01:18:37.0432863Z   inflating: build/custom_test_artifacts/custom-backend-build/Makefile  
2022-11-23T01:18:37.0433268Z   inflating: build/custom_test_artifacts/custom-backend-build/cmake_install.cmake  
2022-11-23T01:18:37.0523718Z   inflating: build/custom_test_artifacts/custom-backend-build/libcustom_backend.so  
2022-11-23T01:18:37.0560603Z   inflating: build/custom_test_artifacts/custom-backend-build/test_custom_backend  
2022-11-23T01:18:37.0561187Z    creating: build/lib/
2022-11-23T01:18:37.0561553Z   inflating: build/lib/libclog.a     
2022-11-23T01:18:37.0611756Z   inflating: build/lib/libgtest.a    
2022-11-23T01:18:37.0619908Z   inflating: build/lib/libpthreadpool.a  
2022-11-23T01:18:37.0693257Z   inflating: build/lib/libbenchmark.a  
2022-11-23T01:18:37.0777242Z   inflating: build/lib/libprotobuf-lite.a  
2022-11-23T01:18:37.0783449Z   inflating: build/lib/libittnotify.a  
2022-11-23T01:18:37.0807609Z   inflating: build/lib/libtensorpipe_uv.a  
2022-11-23T01:18:37.0868287Z   inflating: build/lib/libasmjit.a   
2022-11-23T01:18:37.1290070Z   inflating: build/lib/libprotobuf.a  
2022-11-23T01:18:37.1395332Z   inflating: build/lib/libgloo.a     
2022-11-23T01:18:37.1420887Z   inflating: build/lib/libfmt.a      
2022-11-23T01:18:37.1421854Z   inflating: build/lib/libcaffe2_nvrtc.so  
2022-11-23T01:18:37.1422149Z   inflating: build/lib/libfoxi_loader.a  
2022-11-23T01:18:37.1484184Z   inflating: build/lib/libc10.so     
2022-11-23T01:18:37.1484600Z   inflating: build/lib/libtorch_global_deps.so  
2022-11-23T01:18:37.1935309Z   inflating: build/lib/libprotoc.a   
2022-11-23T01:18:37.1942750Z   inflating: build/lib/libcpuinfo.a  
2022-11-23T01:18:37.1949465Z   inflating: build/lib/libcpuinfo_internals.a  
2022-11-23T01:18:37.1961549Z   inflating: build/lib/libqnnpack.a  
2022-11-23T01:18:37.1979595Z   inflating: build/lib/libpytorch_qnnpack.a  
2022-11-23T01:18:37.1982215Z   inflating: build/lib/libnnpack_reference_layers.a  
2022-11-23T01:18:37.1999318Z   inflating: build/lib/libnnpack.a   
2022-11-23T01:18:37.2013826Z   inflating: build/lib/libgmock.a    
2022-11-23T01:18:37.2014078Z   inflating: build/lib/libgtest_main.a  
2022-11-23T01:18:37.2014336Z   inflating: build/lib/libbenchmark_main.a  
2022-11-23T01:18:37.9735458Z   inflating: build/lib/libdnnl.a     
2022-11-23T01:18:37.9847361Z   inflating: build/lib/libXNNPACK.a  
2022-11-23T01:18:38.0364123Z   inflating: build/lib/libtensorpipe.a  
2022-11-23T01:18:38.0406278Z   inflating: build/lib/libc10_cuda.so  
2022-11-23T01:18:38.0406893Z   inflating: build/lib/libgmock_main.a  
2022-11-23T01:18:38.1629331Z   inflating: build/lib/libfbgemm.a   
2022-11-23T01:18:38.2535891Z   inflating: build/lib/libdnnl_graph.a  
2022-11-23T01:18:38.2946263Z   inflating: build/lib/libkineto.a   
2022-11-23T01:18:38.3174502Z   inflating: build/lib/libtensorpipe_cuda.a  
2022-11-23T01:18:38.3209840Z   inflating: build/lib/libcaffe2_protos.a  
2022-11-23T01:18:38.3247779Z   inflating: build/lib/libonnx_proto.a  
2022-11-23T01:18:38.3785345Z   inflating: build/lib/libonnx.a     
2022-11-23T01:18:38.4125986Z   inflating: build/lib/libgloo_cuda.a  
2022-11-23T01:18:40.2761977Z   inflating: build/lib/libtorch_cpu.so  
2022-11-23T01:18:41.6996194Z   inflating: build/lib/libtorch_cuda.so  
2022-11-23T01:18:41.6997019Z   inflating: build/lib/libtorch.so   
2022-11-23T01:18:41.6998315Z   inflating: build/lib/libc10d_cuda_test.so  
2022-11-23T01:18:42.4717709Z   inflating: build/lib/libtorch_cuda_linalg.so  
2022-11-23T01:18:42.4735527Z   inflating: build/lib/libjitbackend_test.so  
2022-11-23T01:18:42.4784166Z   inflating: build/lib/libtorchbind_test.so  
2022-11-23T01:18:42.4807922Z   inflating: build/lib/libbackend_with_compiler.so  
2022-11-23T01:18:42.4811284Z   inflating: build/lib/libshm.so     
2022-11-23T01:18:42.6234059Z   inflating: build/lib/libtorch_python.so  
2022-11-23T01:18:42.6263936Z   inflating: build/lib/libnnapi_backend.so  
2022-11-23T01:18:42.6264228Z    creating: build/bin/
2022-11-23T01:18:42.6305670Z   inflating: build/bin/c10_CompileTimeFunctionPointer_test  
2022-11-23T01:18:42.6349005Z   inflating: build/bin/c10_DeviceGuard_test  
2022-11-23T01:18:42.6393336Z   inflating: build/bin/c10_Device_test  
2022-11-23T01:18:42.6441445Z   inflating: build/bin/c10_DispatchKeySet_test  
2022-11-23T01:18:42.6482827Z   inflating: build/bin/c10_StreamGuard_test  
2022-11-23T01:18:42.6524443Z   inflating: build/bin/c10_SymInt_test  
2022-11-23T01:18:42.6570660Z   inflating: build/bin/c10_InlineDeviceGuard_test  
2022-11-23T01:18:42.6618643Z   inflating: build/bin/c10_InlineStreamGuard_test  
2022-11-23T01:18:42.6667133Z   inflating: build/bin/c10_SizesAndStrides_test  
2022-11-23T01:18:42.6706735Z   inflating: build/bin/c10_Array_test  
2022-11-23T01:18:42.6753174Z   inflating: build/bin/c10_Bitset_test  
2022-11-23T01:18:42.6795903Z   inflating: build/bin/c10_C++17_test  
2022-11-23T01:18:42.6836447Z   inflating: build/bin/c10_ConstexprCrc_test  
2022-11-23T01:18:42.6877104Z   inflating: build/bin/c10_DeadlockDetection_test  
2022-11-23T01:18:42.6918644Z   inflating: build/bin/c10_Half_test  
2022-11-23T01:18:42.6966191Z   inflating: build/bin/c10_LeftRight_test  
2022-11-23T01:18:42.7020050Z   inflating: build/bin/c10_Metaprogramming_test  
2022-11-23T01:18:42.7144001Z   inflating: build/bin/c10_SmallVectorTest  
2022-11-23T01:18:42.7184842Z   inflating: build/bin/c10_Synchronized_test  
2022-11-23T01:18:42.7233463Z   inflating: build/bin/c10_ThreadLocal_test  
2022-11-23T01:18:42.7278529Z   inflating: build/bin/c10_TypeIndex_test  
2022-11-23T01:18:42.7319492Z   inflating: build/bin/c10_TypeList_test  
2022-11-23T01:18:42.7361089Z   inflating: build/bin/c10_TypeTraits_test  
2022-11-23T01:18:42.7403346Z   inflating: build/bin/c10_accumulate_test  
2022-11-23T01:18:42.7450687Z   inflating: build/bin/c10_bfloat16_test  
2022-11-23T01:18:42.7496145Z   inflating: build/bin/c10_complex_math_test  
2022-11-23T01:18:42.7544357Z   inflating: build/bin/c10_complex_test  
2022-11-23T01:18:42.7636894Z   inflating: build/bin/c10_either_test  
2022-11-23T01:18:42.7680594Z   inflating: build/bin/c10_exception_test  
2022-11-23T01:18:42.7723916Z   inflating: build/bin/c10_flags_test  
2022-11-23T01:18:42.7866904Z   inflating: build/bin/c10_intrusive_ptr_test  
2022-11-23T01:18:42.7909310Z   inflating: build/bin/c10_irange_test  
2022-11-23T01:18:42.7959055Z   inflating: build/bin/c10_logging_test  
2022-11-23T01:18:42.8022422Z   inflating: build/bin/c10_optional_test  
2022-11-23T01:18:42.8074892Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2022-11-23T01:18:42.8124973Z   inflating: build/bin/c10_string_view_test  
2022-11-23T01:18:42.8171118Z   inflating: build/bin/c10_registry_test  
2022-11-23T01:18:42.8214303Z   inflating: build/bin/c10_tempfile_test  
2022-11-23T01:18:42.8263544Z   inflating: build/bin/c10_typeid_test  
2022-11-23T01:18:42.8310293Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2022-11-23T01:18:42.8722811Z   inflating: build/bin/protoc-3.13.0.0  
2022-11-23T01:18:42.9137321Z   inflating: build/bin/protoc        
2022-11-23T01:18:42.9178432Z   inflating: build/bin/c10_cuda_CUDATest  
2022-11-23T01:18:42.9429991Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2022-11-23T01:18:42.9710912Z   inflating: build/bin/vec_test_all_types_AVX2  
2022-11-23T01:18:42.9755731Z   inflating: build/bin/HashStoreTest  
2022-11-23T01:18:42.9807023Z   inflating: build/bin/TCPStoreTest  
2022-11-23T01:18:42.9852551Z   inflating: build/bin/FileStoreTest  
2022-11-23T01:18:42.9865172Z   inflating: build/bin/ProcessGroupMPITest  
2022-11-23T01:18:42.9867712Z   inflating: build/bin/example_allreduce  
2022-11-23T01:18:42.9912847Z   inflating: build/bin/Dimname_test  
2022-11-23T01:18:42.9966957Z   inflating: build/bin/MaybeOwned_test  
2022-11-23T01:18:43.0030244Z   inflating: build/bin/Dict_test     
2022-11-23T01:18:43.0077708Z   inflating: build/bin/NamedTensor_test  
2022-11-23T01:18:43.0127343Z   inflating: build/bin/apply_utils_test  
2022-11-23T01:18:43.0180510Z   inflating: build/bin/atest         
2022-11-23T01:18:43.0233527Z   inflating: build/bin/basic         
2022-11-23T01:18:43.0277934Z   inflating: build/bin/broadcast_test  
2022-11-23T01:18:43.0325902Z   inflating: build/bin/cpu_generator_test  
2022-11-23T01:18:43.0370255Z   inflating: build/bin/cpu_profiling_allocator_test  
2022-11-23T01:18:43.0445415Z   inflating: build/bin/cpu_rng_test  
2022-11-23T01:18:43.0487540Z   inflating: build/bin/dispatch_key_set_test  
2022-11-23T01:18:43.0529070Z   inflating: build/bin/dlconvertor_test  
2022-11-23T01:18:43.0579872Z   inflating: build/bin/extension_backend_test  
2022-11-23T01:18:43.0626849Z   inflating: build/bin/half_test     
2022-11-23T01:18:43.0705974Z   inflating: build/bin/ivalue_test   
2022-11-23T01:18:43.0747311Z   inflating: build/bin/lazy_tensor_test  
2022-11-23T01:18:43.0793522Z   inflating: build/bin/math_kernel_test  
2022-11-23T01:18:43.0838139Z   inflating: build/bin/memory_format_test  
2022-11-23T01:18:43.0883204Z   inflating: build/bin/memory_overlapping_test  
2022-11-23T01:18:43.0926454Z   inflating: build/bin/operator_name_test  
2022-11-23T01:18:43.0970170Z   inflating: build/bin/mobile_memory_cleanup  
2022-11-23T01:18:43.1018478Z   inflating: build/bin/native_test   
2022-11-23T01:18:43.1060793Z   inflating: build/bin/operators_test  
2022-11-23T01:18:43.1105439Z   inflating: build/bin/packedtensoraccessor_test  
2022-11-23T01:18:43.1159371Z   inflating: build/bin/pow_test      
2022-11-23T01:18:43.1207896Z   inflating: build/bin/quantized_test  
2022-11-23T01:18:43.1249499Z   inflating: build/bin/reduce_ops_test  
2022-11-23T01:18:43.1292431Z   inflating: build/bin/reportMemoryUsage_test  
2022-11-23T01:18:43.1341057Z   inflating: build/bin/scalar_tensor_test  
2022-11-23T01:18:43.1388430Z   inflating: build/bin/scalar_test   
2022-11-23T01:18:43.1433436Z   inflating: build/bin/stride_properties_test  
2022-11-23T01:18:43.1499068Z   inflating: build/bin/tensor_iterator_test  
2022-11-23T01:18:43.1500944Z   inflating: build/bin/thread_init_test  
2022-11-23T01:18:43.1548189Z   inflating: build/bin/test_parallel  
2022-11-23T01:18:43.1596120Z   inflating: build/bin/type_ptr_test  
2022-11-23T01:18:43.1646257Z   inflating: build/bin/type_test     
2022-11-23T01:18:43.1687732Z   inflating: build/bin/variant_test  
2022-11-23T01:18:43.1731987Z   inflating: build/bin/undefined_tensor_test  
2022-11-23T01:18:43.1732876Z   inflating: build/bin/verify_api_visibility  
2022-11-23T01:18:43.1793474Z   inflating: build/bin/vmap_test     
2022-11-23T01:18:43.1835108Z   inflating: build/bin/weakref_test  
2022-11-23T01:18:43.1885182Z   inflating: build/bin/IListRef_test  
2022-11-23T01:18:43.1927904Z   inflating: build/bin/wrapdim_test  
2022-11-23T01:18:43.1968879Z   inflating: build/bin/xla_tensor_test  
2022-11-23T01:18:43.2062807Z   inflating: build/bin/List_test     
2022-11-23T01:18:43.2165221Z   inflating: build/bin/kernel_function_legacy_test  
2022-11-23T01:18:43.2221821Z   inflating: build/bin/KernelFunction_test  
2022-11-23T01:18:43.2303356Z   inflating: build/bin/kernel_function_test  
2022-11-23T01:18:43.2411552Z   inflating: build/bin/kernel_lambda_legacy_test  
2022-11-23T01:18:43.2501072Z   inflating: build/bin/kernel_lambda_test  
2022-11-23T01:18:43.2551393Z   inflating: build/bin/kernel_stackbased_test  
2022-11-23T01:18:43.2634293Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2022-11-23T01:18:43.2676319Z   inflating: build/bin/CppSignature_test  
2022-11-23T01:18:43.2716713Z   inflating: build/bin/op_allowlist_test  
2022-11-23T01:18:43.2965040Z   inflating: build/bin/op_registration_test  
2022-11-23T01:18:43.3012546Z   inflating: build/bin/backend_fallback_test  
2022-11-23T01:18:43.3057726Z   inflating: build/bin/inline_container_test  
2022-11-23T01:18:43.3101364Z   inflating: build/bin/cuda_apply_test  
2022-11-23T01:18:43.3146237Z   inflating: build/bin/cuda_caching_host_allocator_test  
2022-11-23T01:18:43.3196953Z   inflating: build/bin/cuda_atomic_ops_test  
2022-11-23T01:18:43.3237573Z   inflating: build/bin/cuda_device_test  
2022-11-23T01:18:43.3295074Z   inflating: build/bin/cuda_complex_math_test  
2022-11-23T01:18:43.3343291Z   inflating: build/bin/cuda_complex_test  
2022-11-23T01:18:43.3393300Z   inflating: build/bin/cuda_cub_test  
2022-11-23T01:18:43.3436583Z   inflating: build/bin/cuda_dlconvertor_test  
2022-11-23T01:18:43.3477777Z   inflating: build/bin/cuda_integer_divider_test  
2022-11-23T01:18:43.3532815Z   inflating: build/bin/cuda_distributions_test  
2022-11-23T01:18:43.3583535Z   inflating: build/bin/cuda_generator_test  
2022-11-23T01:18:43.3623562Z   inflating: build/bin/cuda_half_test  
2022-11-23T01:18:43.3667572Z   inflating: build/bin/cuda_reportMemoryUsage_test  
2022-11-23T01:18:43.3719534Z   inflating: build/bin/cuda_stream_test  
2022-11-23T01:18:43.3758997Z   inflating: build/bin/cuda_optional_test  
2022-11-23T01:18:43.3802064Z   inflating: build/bin/cuda_packedtensoraccessor_test  
2022-11-23T01:18:43.3844219Z   inflating: build/bin/cuda_cudnn_test  
2022-11-23T01:18:43.3887685Z   inflating: build/bin/cuda_vectorized_test  
2022-11-23T01:18:43.3901648Z   inflating: build/bin/tutorial_tensorexpr  
2022-11-23T01:18:43.3957612Z   inflating: build/bin/ProcessGroupGlooTest  
2022-11-23T01:18:43.4005523Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2022-11-23T01:18:43.4057881Z   inflating: build/bin/ProcessGroupNCCLTest  
2022-11-23T01:18:43.4107862Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2022-11-23T01:18:43.4153502Z   inflating: build/bin/ProcessGroupUCCTest  
2022-11-23T01:18:43.4198369Z   inflating: build/bin/test_dist_autograd  
2022-11-23T01:18:43.4199150Z   inflating: build/bin/parallel_benchmark  
2022-11-23T01:18:43.4260227Z   inflating: build/bin/test_cpp_rpc  
2022-11-23T01:18:43.4317386Z   inflating: build/bin/test_mobile_nnc  
2022-11-23T01:18:43.4325699Z   inflating: build/bin/aot_model_compiler_test  
2022-11-23T01:18:43.4630320Z   inflating: build/bin/test_lazy     
2022-11-23T01:18:43.5351501Z   inflating: build/bin/test_tensorexpr  
2022-11-23T01:18:43.5354408Z   inflating: build/bin/torch_shm_manager  
2022-11-23T01:18:43.6398462Z   inflating: build/bin/test_api      
2022-11-23T01:18:43.7355683Z   inflating: build/bin/test_jit      
2022-11-23T01:18:43.7380258Z ##[group]Run df -H
2022-11-23T01:18:43.7380460Z df -H
2022-11-23T01:18:43.7391819Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:18:43.7392046Z env:
2022-11-23T01:18:43.7392243Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:43.7392461Z   GPU_FLAG: --gpus all
2022-11-23T01:18:43.7392659Z ##[endgroup]
2022-11-23T01:18:43.7421857Z Filesystem      Size  Used Avail Use% Mounted on
2022-11-23T01:18:43.7422360Z devtmpfs         34G     0   34G   0% /dev
2022-11-23T01:18:43.7422687Z tmpfs            34G  328k   34G   1% /dev/shm
2022-11-23T01:18:43.7422976Z tmpfs            34G  476k   34G   1% /run
2022-11-23T01:18:43.7423283Z tmpfs            34G     0   34G   0% /sys/fs/cgroup
2022-11-23T01:18:43.7423522Z /dev/nvme0n1p1  162G   30G  132G  19% /
2022-11-23T01:18:43.7441527Z ##[group]Run .github/scripts/parse_ref.py
2022-11-23T01:18:43.7441800Z .github/scripts/parse_ref.py
2022-11-23T01:18:43.7452443Z shell: /usr/bin/bash -e {0}
2022-11-23T01:18:43.7452635Z env:
2022-11-23T01:18:43.7452829Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:43.7453041Z   GPU_FLAG: --gpus all
2022-11-23T01:18:43.7453234Z ##[endgroup]
2022-11-23T01:18:43.7664650Z ##[group]Run set -x
2022-11-23T01:18:43.7664918Z set -x
2022-11-23T01:18:43.7665128Z 
2022-11-23T01:18:43.7665426Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-11-23T01:18:43.7665805Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-11-23T01:18:43.7666085Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-11-23T01:18:43.7666331Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-11-23T01:18:43.7666545Z else
2022-11-23T01:18:43.7666760Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:18:43.7666968Z fi
2022-11-23T01:18:43.7667140Z 
2022-11-23T01:18:43.7667393Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-11-23T01:18:43.7667636Z 
2022-11-23T01:18:43.7667870Z # sanitize the input commit message and PR body here:
2022-11-23T01:18:43.7668100Z #
2022-11-23T01:18:43.7668386Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment
2022-11-23T01:18:43.7668778Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028
2022-11-23T01:18:43.7669106Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}"
2022-11-23T01:18:43.7669355Z PR_BODY="${PR_BODY//[$'\n\r']}"
2022-11-23T01:18:43.7669561Z 
2022-11-23T01:18:43.7669831Z # then trim all special characters like single and double quotes to avoid unescaped inputs to
2022-11-23T01:18:43.7670210Z # wreak havoc internally
2022-11-23T01:18:43.7670466Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}"
2022-11-23T01:18:43.7670733Z export PR_BODY="${PR_BODY//[\'\"]}"
2022-11-23T01:18:43.7670932Z 
2022-11-23T01:18:43.7671179Z # detached container should get cleaned up by teardown_ec2_linux
2022-11-23T01:18:43.7671494Z # TODO: Stop building test binaries as part of the build phase
2022-11-23T01:18:43.7671782Z # Used for GPU_FLAG since that doesn't play nice
2022-11-23T01:18:43.7672046Z # shellcheck disable=SC2086,SC2090
2022-11-23T01:18:43.7672286Z container_name=$(docker run \
2022-11-23T01:18:43.7672504Z   ${GPU_FLAG:-} \
2022-11-23T01:18:43.7672722Z   -e BUILD_ENVIRONMENT \
2022-11-23T01:18:43.7672940Z   -e PR_NUMBER \
2022-11-23T01:18:43.7673153Z   -e GITHUB_ACTIONS \
2022-11-23T01:18:43.7673352Z   -e BASE_SHA \
2022-11-23T01:18:43.7673577Z   -e BRANCH \
2022-11-23T01:18:43.7673793Z   -e SHA1 \
2022-11-23T01:18:43.7673994Z   -e AWS_DEFAULT_REGION \
2022-11-23T01:18:43.7674213Z   -e IN_WHEEL_TEST \
2022-11-23T01:18:43.7674423Z   -e SHARD_NUMBER \
2022-11-23T01:18:43.7674625Z   -e TEST_CONFIG \
2022-11-23T01:18:43.7674837Z   -e NUM_TEST_SHARDS \
2022-11-23T01:18:43.7675050Z   -e PR_BODY \
2022-11-23T01:18:43.7675254Z   -e COMMIT_MESSAGES \
2022-11-23T01:18:43.7675482Z   -e PYTORCH_RETRY_TEST_CASES \
2022-11-23T01:18:43.7675734Z   -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \
2022-11-23T01:18:43.7675959Z   -e PR_LABELS \
2022-11-23T01:18:43.7676193Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-11-23T01:18:43.7676422Z   -e SCCACHE_BUCKET \
2022-11-23T01:18:43.7676645Z   -e SCCACHE_S3_KEY_PREFIX \
2022-11-23T01:18:43.7676849Z   -e XLA_CUDA \
2022-11-23T01:18:43.7677079Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-11-23T01:18:43.7677335Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2022-11-23T01:18:43.7677588Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2022-11-23T01:18:43.7677867Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-11-23T01:18:43.7678122Z   --ulimit stack=10485760:83886080 \
2022-11-23T01:18:43.7678365Z   --security-opt seccomp=unconfined \
2022-11-23T01:18:43.7678649Z   --cap-add=SYS_PTRACE \
2022-11-23T01:18:43.7678873Z   --ipc=host \
2022-11-23T01:18:43.7679088Z   --shm-size="${SHM_SIZE}" \
2022-11-23T01:18:43.7679291Z   --tty \
2022-11-23T01:18:43.7679518Z   --detach \
2022-11-23T01:18:43.7679739Z   --name="${container_name}" \
2022-11-23T01:18:43.7679954Z   --user jenkins \
2022-11-23T01:18:43.7680214Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-11-23T01:18:43.7680492Z   -w /var/lib/jenkins/workspace \
2022-11-23T01:18:43.7680711Z   "${DOCKER_IMAGE}"
2022-11-23T01:18:43.7680906Z )
2022-11-23T01:18:43.7681156Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2022-11-23T01:18:43.7681502Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2022-11-23T01:18:43.7690388Z shell: /usr/bin/bash -e {0}
2022-11-23T01:18:43.7690589Z env:
2022-11-23T01:18:43.7690774Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:18:43.7690987Z   GPU_FLAG: --gpus all
2022-11-23T01:18:43.7691262Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T01:18:43.7691521Z   PR_NUMBER: 
2022-11-23T01:18:43.7691703Z   BRANCH: master
2022-11-23T01:18:43.7691925Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:18:43.7692183Z   BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:18:43.7692413Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T01:18:43.7692645Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T01:18:43.7692863Z   TEST_CONFIG: default
2022-11-23T01:18:43.7693053Z   SHARD_NUMBER: 4
2022-11-23T01:18:43.7693245Z   NUM_TEST_SHARDS: 4
2022-11-23T01:18:43.7693439Z   PR_BODY: 
2022-11-23T01:18:43.7693701Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-11-23T01:18:43.7693989Z   SCCACHE_S3_KEY_PREFIX: trunk
2022-11-23T01:18:43.7694194Z   SHM_SIZE: 2g
2022-11-23T01:18:43.7694574Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:18:43.7694953Z   XLA_CUDA: 
2022-11-23T01:18:43.7695234Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:18:43.7695543Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2022-11-23T01:18:43.7695778Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2022-11-23T01:18:43.7695996Z ##[endgroup]
2022-11-23T01:18:43.7719642Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-11-23T01:18:43.7720141Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *onnx* ]]
2022-11-23T01:18:43.7720411Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:18:43.7722158Z ++ git cherry -v origin/master
2022-11-23T01:18:43.7733696Z + COMMIT_MESSAGES=
2022-11-23T01:18:43.7733919Z + COMMIT_MESSAGES=
2022-11-23T01:18:43.7734107Z + PR_BODY=
2022-11-23T01:18:43.7734306Z + export COMMIT_MESSAGES=
2022-11-23T01:18:43.7734517Z + COMMIT_MESSAGES=
2022-11-23T01:18:43.7734706Z + export PR_BODY=
2022-11-23T01:18:43.7734897Z + PR_BODY=
2022-11-23T01:18:43.7744111Z +++ nproc --ignore=2
2022-11-23T01:18:43.7757591Z ++ docker run --gpus all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528293554 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:18:57.3641037Z + container_name=746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T01:18:57.3641463Z + echo DOCKER_CONTAINER_ID=746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T01:18:57.3643920Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:18:57.3644799Z + docker exec -t 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75 sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh'
2022-11-23T01:18:57.7482783Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:18:58.0078449Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3)
2022-11-23T01:18:58.0079037Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (4.4.0)
2022-11-23T01:18:58.0080100Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (1.11.1)
2022-11-23T01:18:58.0090545Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0)
2022-11-23T01:18:58.0147400Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.21.2)
2022-11-23T01:18:58.0300868Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1)
2022-11-23T01:18:58.6987708Z Installing collected packages: torch
2022-11-23T01:19:05.2509129Z Successfully installed torch-1.14.0a0+git1cfd385
2022-11-23T01:19:05.3116380Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T01:19:05.3257077Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch
2022-11-23T01:19:05.3257483Z + TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:19:05.3257859Z + TORCH_LIB_DIR=/opt/conda/lib/python3.10/site-packages/torch/lib
2022-11-23T01:19:05.3258233Z + TORCH_TEST_DIR=/opt/conda/lib/python3.10/site-packages/torch/test
2022-11-23T01:19:05.3259692Z + BUILD_DIR=build
2022-11-23T01:19:05.3259974Z + BUILD_RENAMED_DIR=build_renamed
2022-11-23T01:19:05.3260279Z + BUILD_BIN_DIR=build/bin
2022-11-23T01:19:05.3260541Z + export VALGRIND=ON
2022-11-23T01:19:05.3260736Z + VALGRIND=ON
2022-11-23T01:19:05.3262674Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *clang9* ]]
2022-11-23T01:19:05.3265837Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 != *bazel* ]]
2022-11-23T01:19:05.3266135Z ++ realpath build/custom_test_artifacts
2022-11-23T01:19:05.3269277Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2022-11-23T01:19:05.3271585Z ++ dirname .jenkins/pytorch/test.sh
2022-11-23T01:19:05.3276182Z + source .jenkins/pytorch/common.sh
2022-11-23T01:19:05.3278078Z +++ dirname .jenkins/pytorch/common.sh
2022-11-23T01:19:05.3286083Z ++ source .jenkins/pytorch/common_utils.sh
2022-11-23T01:19:05.3286827Z +++ declare -f -t trap_add
2022-11-23T01:19:05.3292552Z ++ set -ex
2022-11-23T01:19:05.3293159Z ++ [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *rocm* ]]
2022-11-23T01:19:05.3293453Z ++ BUILD_TEST_LIBTORCH=0
2022-11-23T01:19:05.3293732Z + echo 'Environment variables'
2022-11-23T01:19:05.3294008Z Environment variables
2022-11-23T01:19:05.3294198Z + env
2022-11-23T01:19:05.3300499Z SHARD_NUMBER=4
2022-11-23T01:19:05.3301113Z NV_LIBCUBLAS_DEV_VERSION=11.9.2.110-1
2022-11-23T01:19:05.3301673Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6
2022-11-23T01:19:05.3301957Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2022-11-23T01:19:05.3302290Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.12.10-1+cuda11.6
2022-11-23T01:19:05.3302558Z UCC_HOME=/usr
2022-11-23T01:19:05.3303010Z BUILD_ENVIRONMENT=linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T01:19:05.3303375Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2022-11-23T01:19:05.3304033Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-6=11.6.3.124-1
2022-11-23T01:19:05.3304396Z INSTALLED_DB=yes
2022-11-23T01:19:05.3304669Z HOSTNAME=746fe92894bf
2022-11-23T01:19:05.3304937Z GITHUB_REF_NAME=master
2022-11-23T01:19:05.3305287Z GITHUB_API_URL=https://api.github.com
2022-11-23T01:19:05.3305807Z OPENSSL_DIR=/opt/openssl
2022-11-23T01:19:05.3306151Z UCC_COMMIT=1c7a7127186e7836f73aafbd7697bbc274a77eee
2022-11-23T01:19:05.3306811Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_51bed824-e4ca-472e-b350-fbf40d549151
2022-11-23T01:19:05.3307283Z CUDA_PATH=/usr/local/cuda
2022-11-23T01:19:05.3307831Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2022-11-23T01:19:05.3308251Z GITHUB_RUN_ATTEMPT=1
2022-11-23T01:19:05.3308529Z TEST_CONFIG=default
2022-11-23T01:19:05.3308856Z NV_LIBNPP_VERSION=11.6.3.124-1
2022-11-23T01:19:05.3309279Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-6=11.6.124-1
2022-11-23T01:19:05.3309623Z GITHUB_REPOSITORY_OWNER=pytorch
2022-11-23T01:19:05.3309934Z GITHUB_ACTIONS=true
2022-11-23T01:19:05.3310259Z NVIDIA_VISIBLE_DEVICES=all
2022-11-23T01:19:05.3310508Z NV_NVPROF_VERSION=11.6.124-1
2022-11-23T01:19:05.3310757Z NV_LIBCUSPARSE_VERSION=11.7.2.124-1
2022-11-23T01:19:05.3310969Z CI=true
2022-11-23T01:19:05.3311157Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2022-11-23T01:19:05.3311472Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-6=11.9.2.110-1
2022-11-23T01:19:05.3311707Z BRANCH=master
2022-11-23T01:19:05.3311889Z GITHUB_HEAD_REF=
2022-11-23T01:19:05.3312133Z UCX_COMMIT=31e74cac7bee0ef66bef2af72e7d86d9c282e5ab
2022-11-23T01:19:05.3312391Z GITHUB_ACTOR=pytorchmergebot
2022-11-23T01:19:05.3312635Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache
2022-11-23T01:19:05.3312868Z GITHUB_ACTION_REF=
2022-11-23T01:19:05.3313082Z NCCL_VERSION=2.12.10-1
2022-11-23T01:19:05.3313275Z GITHUB_ACTION=__self
2022-11-23T01:19:05.3313467Z VALGRIND=ON
2022-11-23T01:19:05.3313665Z GITHUB_REF_PROTECTED=true
2022-11-23T01:19:05.3314011Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:19:05.3314311Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2022-11-23T01:19:05.3316011Z ***
2022-11-23T01:19:05.3316204Z INSTALLED_VISION=yes
2022-11-23T01:19:05.3316399Z NVARCH=x86_64
2022-11-23T01:19:05.3316648Z NV_LIBCUSPARSE_DEV_VERSION=11.7.2.124-1
2022-11-23T01:19:05.3316871Z HOME=/var/lib/jenkins
2022-11-23T01:19:05.3317278Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_51bed824-e4ca-472e-b350-fbf40d549151
2022-11-23T01:19:05.3317606Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2022-11-23T01:19:05.3317828Z GITHUB_ACTION_REPOSITORY=
2022-11-23T01:19:05.3318030Z GITHUB_REF_TYPE=branch
2022-11-23T01:19:05.3318273Z NV_LIBNCCL_PACKAGE_VERSION=2.12.10-1
2022-11-23T01:19:05.3318498Z GITHUB_RETENTION_DAYS=90
2022-11-23T01:19:05.3318787Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2022-11-23T01:19:05.3319107Z NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda11.6
2022-11-23T01:19:05.3319539Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_51bed824-e4ca-472e-b350-fbf40d549151
2022-11-23T01:19:05.3319858Z DEBIAN_FRONTEND=noninteractive
2022-11-23T01:19:05.3320129Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
2022-11-23T01:19:05.3320387Z GITHUB_REF=refs/heads/master
2022-11-23T01:19:05.3320645Z NV_CUDA_LIB_VERSION=11.6.2-1
2022-11-23T01:19:05.3320882Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:19:05.3321115Z INSTALLED_PROTOBUF=yes
2022-11-23T01:19:05.3321320Z GITHUB_RUN_ID=3528293554
2022-11-23T01:19:05.3321586Z NV_LIBNPP_PACKAGE=libnpp-11-6=11.6.3.124-1
2022-11-23T01:19:05.3321824Z NV_LIBNCCL_PACKAGE_NAME=libnccl2
2022-11-23T01:19:05.3322062Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs
2022-11-23T01:19:05.3322301Z NV_NVTX_VERSION=11.6.124-1
2022-11-23T01:19:05.3322534Z GITHUB_SERVER_URL=https://github.com
2022-11-23T01:19:05.3322751Z MAX_JOBS=14
2022-11-23T01:19:05.3322965Z NV_LIBCUBLAS_VERSION=11.9.2.110-1
2022-11-23T01:19:05.3323259Z NV_LIBCUBLAS_PACKAGE=libcublas-11-6=11.9.2.110-1
2022-11-23T01:19:05.3323702Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2022-11-23T01:19:05.3323969Z UCX_HOME=/usr
2022-11-23T01:19:05.3324168Z PYTORCH_RETRY_TEST_CASES=1
2022-11-23T01:19:05.3324461Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2022-11-23T01:19:05.3324738Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:19:05.3324997Z NV_CUDA_CUDART_DEV_VERSION=11.6.55-1
2022-11-23T01:19:05.3325205Z PR_BODY=
2022-11-23T01:19:05.3325386Z GITHUB_BASE_REF=
2022-11-23T01:19:05.3325563Z TERM=xterm
2022-11-23T01:19:05.3325738Z XLA_CUDA=
2022-11-23T01:19:05.3325945Z NV_NVML_DEV_VERSION=11.6.55-1
2022-11-23T01:19:05.3326153Z TORCH_CUDA_ARCH_LIST=Maxwell
2022-11-23T01:19:05.3326360Z CUDA_VERSION=11.6.2
2022-11-23T01:19:05.3326626Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-6
2022-11-23T01:19:05.3326857Z OPENSSL_ROOT_DIR=/opt/openssl
2022-11-23T01:19:05.3327281Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_51bed824-e4ca-472e-b350-fbf40d549151
2022-11-23T01:19:05.3327581Z GITHUB_JOB=test
2022-11-23T01:19:05.3327776Z SCCACHE_S3_KEY_PREFIX=trunk
2022-11-23T01:19:05.3327983Z COMMIT_MESSAGES=
2022-11-23T01:19:05.3328209Z NVIDIA_DRIVER_CAPABILITIES=compute,utility
2022-11-23T01:19:05.3328435Z NUM_TEST_SHARDS=4
2022-11-23T01:19:05.3328622Z PR_NUMBER=
2022-11-23T01:19:05.3329024Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_51bed824-e4ca-472e-b350-fbf40d549151
2022-11-23T01:19:05.3329320Z SHLVL=1
2022-11-23T01:19:05.3329588Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-6
2022-11-23T01:19:05.3329848Z GITHUB_REPOSITORY=pytorch/pytorch
2022-11-23T01:19:05.3330515Z NVIDIA_REQUIRE_CUDA=cuda>=11.6 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
2022-11-23T01:19:05.3331153Z NV_LIBNPP_DEV_VERSION=11.6.3.124-1
2022-11-23T01:19:05.3331391Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:19:05.3331618Z GITHUB_EVENT_NAME=push
2022-11-23T01:19:05.3331855Z NV_CUDA_CUDART_VERSION=11.6.55-1
2022-11-23T01:19:05.3332123Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2022-11-23T01:19:05.3332348Z GITHUB_RUN_NUMBER=18336
2022-11-23T01:19:05.3332553Z GITHUB_WORKFLOW=trunk
2022-11-23T01:19:05.3332874Z PATH=/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:19:05.3333222Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.12.10-1
2022-11-23T01:19:05.3333563Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:19:05.3333855Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2022-11-23T01:19:05.3334067Z _=/usr/bin/env
2022-11-23T01:19:05.3334297Z + echo 'Testing pytorch'
2022-11-23T01:19:05.3334498Z Testing pytorch
2022-11-23T01:19:05.3334702Z + export LANG=C.UTF-8
2022-11-23T01:19:05.3334913Z + LANG=C.UTF-8
2022-11-23T01:19:05.3335097Z + PR_NUMBER=
2022-11-23T01:19:05.3335291Z + [[ default == \d\e\f\a\u\l\t ]]
2022-11-23T01:19:05.3335512Z + export CUDA_VISIBLE_DEVICES=0
2022-11-23T01:19:05.3335726Z + CUDA_VISIBLE_DEVICES=0
2022-11-23T01:19:05.3335933Z + export HIP_VISIBLE_DEVICES=0
2022-11-23T01:19:05.3336147Z + HIP_VISIBLE_DEVICES=0
2022-11-23T01:19:05.3336365Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2022-11-23T01:19:05.3336576Z + [[ default == \s\l\o\w ]]
2022-11-23T01:19:05.3336909Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *slow-gradcheck* ]]
2022-11-23T01:19:05.3337298Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *cuda* ]]
2022-11-23T01:19:05.3337577Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:19:05.3337829Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:19:05.3338057Z + [[ default == *crossref* ]]
2022-11-23T01:19:05.3338299Z + [[ default == *dynamo* ]]
2022-11-23T01:19:05.3338509Z + [[ default == *inductor* ]]
2022-11-23T01:19:05.3339006Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *rocm* ]]
2022-11-23T01:19:05.3339505Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 != *-bazel-* ]]
2022-11-23T01:19:05.3339809Z + pip_install --user ninja==1.10.2
2022-11-23T01:19:05.3340117Z + pip install --progress-bar off --user ninja==1.10.2
2022-11-23T01:19:05.7111661Z Collecting ninja==1.10.2
2022-11-23T01:19:05.7403219Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2022-11-23T01:19:06.3772808Z Installing collected packages: ninja
2022-11-23T01:19:06.3841270Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-11-23T01:19:06.3841867Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T01:19:06.3889523Z Successfully installed ninja-1.10.2
2022-11-23T01:19:06.4588228Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:19:06.4589171Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:19:06.4590192Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *asan* ]]
2022-11-23T01:19:06.4591596Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *-tsan* ]]
2022-11-23T01:19:06.4591866Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-11-23T01:19:06.4592115Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2022-11-23T01:19:06.4594085Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *tbb* ]]
2022-11-23T01:19:06.4604227Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *libtorch* ]]
2022-11-23T01:19:06.4604775Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *-bazel-* ]]
2022-11-23T01:19:06.4605265Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *-tsan* ]]
2022-11-23T01:19:06.4605682Z + cd test
2022-11-23T01:19:06.4605974Z + python -c 'import torch; print(torch.__config__.show())'
2022-11-23T01:19:07.6660632Z PyTorch built with:
2022-11-23T01:19:07.6661141Z   - GCC 7.5
2022-11-23T01:19:07.6661486Z   - C++ Version: 201402
2022-11-23T01:19:07.6662072Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:19:07.6662686Z   - Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:19:07.6663119Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:19:07.6663673Z   - LAPACK is enabled (usually provided by MKL)
2022-11-23T01:19:07.6664042Z   - NNPACK is enabled
2022-11-23T01:19:07.6664399Z   - CPU capability usage: AVX2
2022-11-23T01:19:07.6664750Z   - CUDA Runtime 11.6
2022-11-23T01:19:07.6665246Z   - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86
2022-11-23T01:19:07.6665721Z   - CuDNN 8.3.2  (built against CUDA 11.5)
2022-11-23T01:19:07.6666105Z   - Magma 2.6.1
2022-11-23T01:19:07.6669753Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 
2022-11-23T01:19:07.6672344Z 
2022-11-23T01:19:07.9282720Z + cd test
2022-11-23T01:19:07.9283230Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2022-11-23T01:19:09.0292116Z ATen/Parallel:
2022-11-23T01:19:09.0308382Z 	at::get_num_threads() : 8
2022-11-23T01:19:09.0308648Z 	at::get_num_interop_threads() : 8
2022-11-23T01:19:09.0308887Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:19:09.0309104Z 	omp_get_max_threads() : 8
2022-11-23T01:19:09.0309641Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:19:09.0309949Z 	mkl_get_max_threads() : 8
2022-11-23T01:19:09.0310459Z Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:19:09.0310733Z std::thread::hardware_concurrency() : 16
2022-11-23T01:19:09.0310961Z Environment variables:
2022-11-23T01:19:09.0311180Z 	OMP_NUM_THREADS : [not set]
2022-11-23T01:19:09.0311383Z 	MKL_NUM_THREADS : [not set]
2022-11-23T01:19:09.0311602Z ATen parallel backend: OpenMP
2022-11-23T01:19:09.0311738Z 
2022-11-23T01:19:09.2854754Z + [[ default == *backward* ]]
2022-11-23T01:19:09.2855127Z + [[ default == *xla* ]]
2022-11-23T01:19:09.2855436Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2022-11-23T01:19:09.2856067Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 == *libtorch* ]]
2022-11-23T01:19:09.2856439Z + [[ default == distributed ]]
2022-11-23T01:19:09.2856733Z + [[ default == deploy ]]
2022-11-23T01:19:09.2857032Z + [[ default == *inductor_distributed* ]]
2022-11-23T01:19:09.2857339Z + [[ default == *dynamo* ]]
2022-11-23T01:19:09.2857625Z + [[ default == *dynamo* ]]
2022-11-23T01:19:09.2857887Z + [[ default == *inductor_huggingface* ]]
2022-11-23T01:19:09.2858139Z + [[ default == *inductor_timm* ]]
2022-11-23T01:19:09.2858389Z + [[ default == *inductor_torchbench* ]]
2022-11-23T01:19:09.2858621Z + [[ default == *inductor* ]]
2022-11-23T01:19:09.2859059Z + [[ 4 == 1 ]]
2022-11-23T01:19:09.2859306Z + [[ 4 == 2 ]]
2022-11-23T01:19:09.2859626Z + [[ 4 -gt 2 ]]
2022-11-23T01:19:09.2859833Z + install_triton
2022-11-23T01:19:09.2860028Z + local commit
2022-11-23T01:19:09.2860235Z + [[ default == *rocm* ]]
2022-11-23T01:19:09.2860458Z ++ get_pinned_commit triton
2022-11-23T01:19:09.2860688Z ++ cat .github/ci_commit_pins/triton.txt
2022-11-23T01:19:09.2874681Z + commit=0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:19:09.2875285Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:19:09.2875831Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:19:09.6078552Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:19:09.6080456Z   Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-5rbew27a
2022-11-23T01:19:09.6096749Z   Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-5rbew27a
2022-11-23T01:19:10.3588934Z   Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331'
2022-11-23T01:19:10.3606977Z   Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:19:10.6910439Z   Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:19:10.8685550Z   Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:19:10.8686107Z   Running command git submodule update --init --recursive -q
2022-11-23T01:19:11.4083321Z   Preparing metadata (setup.py) ... [?25l- done
2022-11-23T01:19:11.5780849Z [?25hCollecting cmake
2022-11-23T01:19:11.6103382Z   Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)
2022-11-23T01:19:11.8452730Z Collecting filelock
2022-11-23T01:19:11.8495322Z   Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
2022-11-23T01:19:11.8534184Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385)
2022-11-23T01:19:11.8723775Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (2.6.3)
2022-11-23T01:19:11.8724319Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (1.11.1)
2022-11-23T01:19:11.8728223Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (4.4.0)
2022-11-23T01:19:11.8881412Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->triton==2.0.0) (1.2.1)
2022-11-23T01:19:11.8932612Z Building wheels for collected packages: triton
2022-11-23T01:19:51.4262638Z   Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | / done
2022-11-23T01:19:51.4382516Z [?25h  Created wheel for triton: filename=triton-2.0.0-cp310-cp310-linux_x86_64.whl size=15377935 sha256=94fc1f08aedcd728b914ad14da7fa6f1b5b0798603bc40594f8227cd54b06baa
2022-11-23T01:19:51.4383515Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/3f/1d/23/1c2bc47d618a44f9c949aea4b7e355e737a1f1ed208f009295
2022-11-23T01:19:51.4395902Z Successfully built triton
2022-11-23T01:19:52.0807830Z Installing collected packages: cmake, filelock, triton
2022-11-23T01:19:53.2845974Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0
2022-11-23T01:19:53.3733254Z + pip_install --user jinja2
2022-11-23T01:19:53.3733600Z + pip install --progress-bar off --user jinja2
2022-11-23T01:19:53.7624043Z Collecting jinja2
2022-11-23T01:19:53.8284104Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2022-11-23T01:19:53.8636386Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2) (2.1.1)
2022-11-23T01:19:54.5201028Z Installing collected packages: jinja2
2022-11-23T01:19:54.6512454Z Successfully installed jinja2-3.1.2
2022-11-23T01:19:54.7153879Z + test_python_shard 4
2022-11-23T01:19:54.7154657Z + [[ -z 4 ]]
2022-11-23T01:19:54.7155778Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 4 4 --verbose
2022-11-23T01:19:56.3799711Z Ignoring disabled issues:  []
2022-11-23T01:19:56.4054096Z /var/lib/jenkins/workspace/test/run_test.py:1134: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:19:56.4054948Z   if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.6":
2022-11-23T01:19:56.4115073Z ##[warning] Gathered no stats from artifacts. Proceeding with default sharding plan.
2022-11-23T01:19:56.4115661Z Selected tests:
2022-11-23T01:19:56.4115863Z  dynamo/test_aot_autograd
2022-11-23T01:19:56.4116081Z  dynamo/test_export_mutations
2022-11-23T01:19:56.4116290Z  dynamo/test_minifier
2022-11-23T01:19:56.4116494Z  dynamo/test_no_fake_tensors
2022-11-23T01:19:56.4116707Z  dynamo/test_python_autograd
2022-11-23T01:19:56.4116914Z  dynamo/test_skip_non_tensor
2022-11-23T01:19:56.4117128Z  dynamo/test_verify_correctness
2022-11-23T01:19:56.4117344Z  inductor/test_torchinductor
2022-11-23T01:19:56.4117564Z  lazy/test_extract_compiled_graph
2022-11-23T01:19:56.4117767Z  lazy/test_ts_opinfo
2022-11-23T01:19:56.4117962Z  nn/test_lazy_modules
2022-11-23T01:19:56.4118170Z  profiler/test_memory_profiler
2022-11-23T01:19:56.4118365Z  test_autocast
2022-11-23T01:19:56.4118554Z  test_comparison_utils
2022-11-23T01:19:56.4118769Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:19:56.4118977Z  test_cuda_nvml_based_avail
2022-11-23T01:19:56.4119406Z  test_dataloader
2022-11-23T01:19:56.4119600Z  test_dispatch
2022-11-23T01:19:56.4119779Z  test_fake_tensor
2022-11-23T01:19:56.4119973Z  test_functional_optim
2022-11-23T01:19:56.4120173Z  test_fx_experimental
2022-11-23T01:19:56.4120417Z  test_import_stats
2022-11-23T01:19:56.4120606Z  test_jit_autocast
2022-11-23T01:19:56.4120794Z  test_jit_llga_fuser
2022-11-23T01:19:56.4120973Z  test_logging
2022-11-23T01:19:56.4121145Z  test_meta
2022-11-23T01:19:56.4121324Z  test_mkldnn_verbose
2022-11-23T01:19:56.4121500Z  test_modules
2022-11-23T01:19:56.4121682Z  test_namedtensor
2022-11-23T01:19:56.4121870Z  test_nestedtensor
2022-11-23T01:19:56.4122052Z  test_nvfuser_dynamo
2022-11-23T01:19:56.4122247Z  test_ops_fwd_gradients
2022-11-23T01:19:56.4122441Z  test_overrides
2022-11-23T01:19:56.4122618Z  test_proxy_tensor
2022-11-23T01:19:56.4122802Z  test_pytree
2022-11-23T01:19:56.4122982Z  test_schema_check
2022-11-23T01:19:56.4123188Z  test_show_pickle
2022-11-23T01:19:56.4123406Z  test_spectral_ops
2022-11-23T01:19:56.4123640Z  test_tensorboard
2022-11-23T01:19:56.4123819Z  test_torch
2022-11-23T01:19:56.4124088Z  test_type_promotion
2022-11-23T01:19:56.4124301Z  test_vmap
2022-11-23T01:19:56.4124525Z Prioritized test from test file changes.
2022-11-23T01:19:56.4124787Z reordering tests for PR:
2022-11-23T01:19:56.4125031Z prioritized: []
2022-11-23T01:19:56.4126751Z the rest: ['dynamo/test_aot_autograd', 'dynamo/test_export_mutations', 'dynamo/test_minifier', 'dynamo/test_no_fake_tensors', 'dynamo/test_python_autograd', 'dynamo/test_skip_non_tensor', 'dynamo/test_verify_correctness', 'inductor/test_torchinductor', 'lazy/test_extract_compiled_graph', 'lazy/test_ts_opinfo', 'nn/test_lazy_modules', 'profiler/test_memory_profiler', 'test_autocast', 'test_comparison_utils', 'test_cpp_extensions_aot_no_ninja', 'test_cuda_nvml_based_avail', 'test_dataloader', 'test_dispatch', 'test_fake_tensor', 'test_functional_optim', 'test_fx_experimental', 'test_import_stats', 'test_jit_autocast', 'test_jit_llga_fuser', 'test_logging', 'test_meta', 'test_mkldnn_verbose', 'test_modules', 'test_namedtensor', 'test_nestedtensor', 'test_nvfuser_dynamo', 'test_ops_fwd_gradients', 'test_overrides', 'test_proxy_tensor', 'test_pytree', 'test_schema_check', 'test_show_pickle', 'test_spectral_ops', 'test_tensorboard', 'test_torch', 'test_type_promotion', 'test_vmap']
2022-11-23T01:19:56.4127697Z 
2022-11-23T01:19:56.4128112Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json
2022-11-23T01:19:56.4475981Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2022-11-23T01:19:56.4839517Z parallel (file granularity) tests:
2022-11-23T01:19:56.4839875Z  dynamo/test_aot_autograd
2022-11-23T01:19:56.4840392Z  dynamo/test_export_mutations
2022-11-23T01:19:56.4840801Z  dynamo/test_minifier
2022-11-23T01:19:56.4841143Z  dynamo/test_no_fake_tensors
2022-11-23T01:19:56.4841503Z  dynamo/test_python_autograd
2022-11-23T01:19:56.4841921Z  dynamo/test_skip_non_tensor
2022-11-23T01:19:56.4842321Z  dynamo/test_verify_correctness
2022-11-23T01:19:56.4842679Z  inductor/test_torchinductor
2022-11-23T01:19:56.4842928Z  lazy/test_extract_compiled_graph
2022-11-23T01:19:56.4843169Z  lazy/test_ts_opinfo
2022-11-23T01:19:56.4843530Z  nn/test_lazy_modules
2022-11-23T01:19:56.4843787Z  profiler/test_memory_profiler
2022-11-23T01:19:56.4861330Z  test_autocast
2022-11-23T01:19:56.4861608Z  test_comparison_utils
2022-11-23T01:19:56.4861858Z  test_dataloader
2022-11-23T01:19:56.4862131Z  test_functional_optim
2022-11-23T01:19:56.4862403Z  test_fx_experimental
2022-11-23T01:19:56.4862668Z  test_import_stats
2022-11-23T01:19:56.4862910Z  test_jit_autocast
2022-11-23T01:19:56.4863162Z  test_jit_llga_fuser
2022-11-23T01:19:56.4863406Z  test_logging
2022-11-23T01:19:56.4863637Z  test_meta
2022-11-23T01:19:56.4863884Z  test_mkldnn_verbose
2022-11-23T01:19:56.4864344Z  test_namedtensor
2022-11-23T01:19:56.4864601Z  test_nestedtensor
2022-11-23T01:19:56.4864831Z  test_nvfuser_dynamo
2022-11-23T01:19:56.4865028Z  test_proxy_tensor
2022-11-23T01:19:56.4865268Z  test_pytree
2022-11-23T01:19:56.4865457Z  test_schema_check
2022-11-23T01:19:56.4865651Z  test_spectral_ops
2022-11-23T01:19:56.4865831Z  test_tensorboard
2022-11-23T01:19:56.4866022Z  test_type_promotion
2022-11-23T01:19:56.4866211Z  test_vmap
2022-11-23T01:19:56.4866413Z serial (file granularity) tests:
2022-11-23T01:19:56.4866645Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:19:56.4866870Z  test_cuda_nvml_based_avail
2022-11-23T01:19:56.4867063Z  test_dispatch
2022-11-23T01:19:56.4867249Z  test_fake_tensor
2022-11-23T01:19:56.4867436Z  test_modules
2022-11-23T01:19:56.4867618Z  test_ops_fwd_gradients
2022-11-23T01:19:56.4867816Z  test_overrides
2022-11-23T01:19:56.4868002Z  test_show_pickle
2022-11-23T01:19:56.4868178Z  test_torch
2022-11-23T01:19:58.1033484Z Ignoring disabled issues:  []
2022-11-23T01:19:58.1197822Z Ignoring disabled issues:  []
2022-11-23T01:19:58.1276128Z Running dynamo/test_aot_autograd ... [2022-11-23 01:19:58.126913]
2022-11-23T01:19:58.1276816Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:58.127258]
2022-11-23T01:19:58.1447503Z Running dynamo/test_export_mutations ... [2022-11-23 01:19:58.144163]
2022-11-23T01:19:58.1449292Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:58.144520]
2022-11-23T01:20:01.1838234Z 
2022-11-23T01:20:01.1838885Z Expand the folded group to see the log file of dynamo/test_export_mutations
2022-11-23T01:20:01.1843929Z ##[group]PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_ilfo64ee)
2022-11-23T01:20:01.1844220Z 
2022-11-23T01:20:01.1844306Z Running tests...
2022-11-23T01:20:01.1844785Z ----------------------------------------------------------------------
2022-11-23T01:20:01.1845239Z Test results will be stored in test-reports/python-unittest/dynamo.test_export_mutations
2022-11-23T01:20:01.1846251Z   test_module_attribute_mutation_violation_negative_1 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88468 for platform(s) linux, macos, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (1.140s)
2022-11-23T01:20:01.1847588Z   test_module_attribute_mutation_violation_negative_2 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88475 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:20:01.1848808Z   test_module_attribute_mutation_violation_negative_3 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88466 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:20:01.1850077Z   test_module_attribute_mutation_violation_negative_4 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88467 for platform(s) linux, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:20:01.1850966Z   test_module_attribute_mutation_violation_positive_1 (__main__.MutationExportTests) ... ok (0.008s)
2022-11-23T01:20:01.1851362Z   test_module_attribute_mutation_violation_positive_2 (__main__.MutationExportTests) ... ok (0.002s)
2022-11-23T01:20:01.1851856Z   test_module_attribute_mutation_violation_positive_3 (__main__.MutationExportTests) ... ok (0.002s)
2022-11-23T01:20:01.1852249Z   test_module_attribute_mutation_violation_positive_4 (__main__.MutationExportTests) ... inline_call []
2022-11-23T01:20:01.1852523Z ok (0.004s)
2022-11-23T01:20:01.1852652Z 
2022-11-23T01:20:01.1852919Z ----------------------------------------------------------------------
2022-11-23T01:20:01.1853181Z Ran 8 tests in 1.160s
2022-11-23T01:20:01.1853305Z 
2022-11-23T01:20:01.1853384Z OK (skipped=4)
2022-11-23T01:20:01.1853501Z 
2022-11-23T01:20:01.1853626Z Generating XML reports...
2022-11-23T01:20:01.1854118Z Generated XML report: test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123011959.xml
2022-11-23T01:20:01.1854393Z 
2022-11-23T01:20:01.1854691Z ##[endgroup]
2022-11-23T01:20:01.1855128Z FINISHED PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_ilfo64ee)
2022-11-23T01:20:01.1855436Z 
2022-11-23T01:20:03.0837749Z Ignoring disabled issues:  []
2022-11-23T01:20:03.1068082Z Running dynamo/test_minifier ... [2022-11-23 01:20:03.106106]
2022-11-23T01:20:03.1068677Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:03.106435]
2022-11-23T01:20:04.1406700Z 
2022-11-23T01:20:04.1407425Z Expand the folded group to see the log file of dynamo/test_aot_autograd
2022-11-23T01:20:04.1408353Z ##[group]PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_426pcme6)
2022-11-23T01:20:04.1408694Z 
2022-11-23T01:20:04.1408822Z Running tests...
2022-11-23T01:20:04.1409327Z ----------------------------------------------------------------------
2022-11-23T01:20:04.1409933Z Test results will be stored in test-reports/python-unittest/dynamo.test_aot_autograd
2022-11-23T01:20:04.1410695Z   test_LSTM (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:20:03,224] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of LSTM
2022-11-23T01:20:04.1411067Z ok (3.785s)
2022-11-23T01:20:04.1411545Z   test_call_fn_with_non_const_inputs_aot_safe (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1412131Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:04.1412456Z inline_call []
2022-11-23T01:20:04.1412810Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:04.1413219Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1413487Z ok (0.028s)
2022-11-23T01:20:04.1414219Z   test_call_fn_with_non_const_inputs_aot_unsafe (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:20:03,376] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:20:04.1414641Z inline_call []
2022-11-23T01:20:04.1414956Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:04.1415248Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1415447Z ok (0.015s)
2022-11-23T01:20:04.1415848Z   test_call_fn_with_non_const_inputs_aot_unsafe_control_flow (__main__.AotAutogradFallbackTests) ... frames [('total', 8), ('ok', 8)]
2022-11-23T01:20:04.1416237Z inline_call [('generic_jump TensorVariable()', 2)]
2022-11-23T01:20:04.1416478Z unimplemented []
2022-11-23T01:20:04.1416757Z graph_break [('generic_jump TensorVariable()', 2)]
2022-11-23T01:20:04.1417106Z stats [('calls_captured', 14), ('unique_graphs', 8), ('fusions_possible', 6)]
2022-11-23T01:20:04.1417356Z ok (0.054s)
2022-11-23T01:20:04.1418098Z   test_mutation (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:20:03,438] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:20:04.1418542Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1419207Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:04.1419534Z ok (0.008s)
2022-11-23T01:20:04.1420036Z   test_mutation1 (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:20:03,564] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:20:04.1420441Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1420775Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:04.1421026Z ok (0.129s)
2022-11-23T01:20:04.1421366Z   test_negative_testing (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1421764Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:04.1422009Z ok (0.007s)
2022-11-23T01:20:04.1422372Z   test_negative_testing_mutation (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:04.1422770Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:04.1423014Z ok (0.136s)
2022-11-23T01:20:04.1423124Z 
2022-11-23T01:20:04.1423328Z ----------------------------------------------------------------------
2022-11-23T01:20:04.1423580Z Ran 8 tests in 4.164s
2022-11-23T01:20:04.1423703Z 
2022-11-23T01:20:04.1423777Z OK
2022-11-23T01:20:04.1423880Z 
2022-11-23T01:20:04.1423975Z Generating XML reports...
2022-11-23T01:20:04.1424438Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123011959.xml
2022-11-23T01:20:04.1424707Z 
2022-11-23T01:20:04.1424984Z ##[endgroup]
2022-11-23T01:20:04.1425411Z FINISHED PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_426pcme6)
2022-11-23T01:20:04.1425658Z 
2022-11-23T01:20:06.0813923Z Ignoring disabled issues:  []
2022-11-23T01:20:06.1107594Z Running dynamo/test_no_fake_tensors ... [2022-11-23 01:20:06.110184]
2022-11-23T01:20:06.1109826Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_no_fake_tensors.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:06.110564]
2022-11-23T01:20:17.9477082Z 
2022-11-23T01:20:17.9477522Z Expand the folded group to see the log file of dynamo/test_no_fake_tensors
2022-11-23T01:20:17.9478621Z ##[group]PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_qn3r587r)
2022-11-23T01:20:17.9479010Z 
2022-11-23T01:20:17.9479126Z Running tests...
2022-11-23T01:20:17.9479690Z ----------------------------------------------------------------------
2022-11-23T01:20:17.9480253Z Test results will be stored in test-reports/python-unittest/dynamo.test_no_fake_tensors
2022-11-23T01:20:17.9480822Z   test_T_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (1.154s)
2022-11-23T01:20:17.9481628Z   test_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9482286Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9482643Z ok (0.005s)
2022-11-23T01:20:17.9483140Z   test_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9483816Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9484174Z ok (0.010s)
2022-11-23T01:20:17.9484902Z   test_chunks1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9485431Z ok (0.007s)
2022-11-23T01:20:17.9486542Z   test_const_tuple_add1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9486900Z ok (0.006s)
2022-11-23T01:20:17.9487443Z   test_const_tuple_add2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9487788Z ok (0.006s)
2022-11-23T01:20:17.9488260Z   test_constant1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9488606Z ok (0.006s)
2022-11-23T01:20:17.9489080Z   test_constant2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9489422Z ok (0.006s)
2022-11-23T01:20:17.9489885Z   test_constant3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9490229Z ok (0.004s)
2022-11-23T01:20:17.9490697Z   test_constant4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9491030Z ok (0.005s)
2022-11-23T01:20:17.9491499Z   test_default_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9491838Z ok (0.008s)
2022-11-23T01:20:17.9492311Z   test_del_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9492696Z ok (0.006s)
2022-11-23T01:20:17.9493172Z   test_device_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9493524Z ok (0.005s)
2022-11-23T01:20:17.9493992Z   test_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9494332Z ok (0.004s)
2022-11-23T01:20:17.9494798Z   test_dict_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9495138Z ok (0.005s)
2022-11-23T01:20:17.9495609Z   test_dict_ops_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:17.9495939Z ok (0.011s)
2022-11-23T01:20:17.9496418Z   test_dict_param_keys_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9496764Z ok (0.005s)
2022-11-23T01:20:17.9497242Z   test_dtype_compare_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9497575Z ok (0.006s)
2022-11-23T01:20:17.9498039Z   test_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9498370Z ok (0.005s)
2022-11-23T01:20:17.9499034Z   test_finfo_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9499441Z ok (0.006s)
2022-11-23T01:20:17.9499956Z   test_float_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9500465Z ok (0.005s)
2022-11-23T01:20:17.9501106Z   test_fn_with_self_set_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9501558Z ok (0.008s)
2022-11-23T01:20:17.9502176Z   test_fstrings1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9502615Z ok (0.005s)
2022-11-23T01:20:17.9503225Z   test_fstrings2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9503669Z ok (0.005s)
2022-11-23T01:20:17.9504291Z   test_fstrings3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9504755Z ok (0.005s)
2022-11-23T01:20:17.9505169Z   test_funcdef_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9505761Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:20:17.9506093Z ok (0.010s)
2022-11-23T01:20:17.9506746Z   test_globalfn_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9507204Z ok (0.005s)
2022-11-23T01:20:17.9507849Z   test_globalmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9508311Z ok (0.005s)
2022-11-23T01:20:17.9508919Z   test_globalvar_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9509364Z ok (0.005s)
2022-11-23T01:20:17.9509999Z   test_import1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9510450Z ok (0.006s)
2022-11-23T01:20:17.9511161Z   test_indirect1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9511661Z ok (0.005s)
2022-11-23T01:20:17.9512333Z   test_indirect2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9512785Z ok (0.005s)
2022-11-23T01:20:17.9513407Z   test_indirect3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9513856Z ok (0.005s)
2022-11-23T01:20:17.9514290Z   test_inline_jit_annotations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9514887Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9515507Z ok (0.007s)
2022-11-23T01:20:17.9516166Z   test_inline_softmax_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9516629Z ok (0.006s)
2022-11-23T01:20:17.9517134Z   test_inline_with_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9517731Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9518105Z ok (0.006s)
2022-11-23T01:20:17.9518519Z   test_inner_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9519142Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9519468Z ok (0.005s)
2022-11-23T01:20:17.9520169Z   test_is_contiguous_memory_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9520643Z ok (0.005s)
2022-11-23T01:20:17.9521293Z   test_is_fx_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9521747Z ok (0.005s)
2022-11-23T01:20:17.9522385Z   test_is_in_onnx_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9522839Z ok (0.005s)
2022-11-23T01:20:17.9523463Z   test_is_not_null_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9523872Z ok (0.005s)
2022-11-23T01:20:17.9524357Z   test_is_quantized_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9524694Z ok (0.005s)
2022-11-23T01:20:17.9525169Z   test_is_sparse_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9525510Z ok (0.004s)
2022-11-23T01:20:17.9525981Z   test_islice_chain_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.9526326Z ok (0.009s)
2022-11-23T01:20:17.9526797Z   test_jit_annotate_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9527131Z ok (0.006s)
2022-11-23T01:20:17.9527605Z   test_len_constant_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9527956Z ok (0.005s)
2022-11-23T01:20:17.9528438Z   test_len_constant_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9528787Z ok (0.005s)
2022-11-23T01:20:17.9529277Z   test_len_constant_misc_iterables_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9529635Z ok (0.005s)
2022-11-23T01:20:17.9530100Z   test_len_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9530432Z ok (0.004s)
2022-11-23T01:20:17.9530903Z   test_list_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9531245Z ok (0.005s)
2022-11-23T01:20:17.9531776Z   test_list_clear_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9532120Z ok (0.006s)
2022-11-23T01:20:17.9532596Z   test_list_convert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9532972Z ok (0.007s)
2022-11-23T01:20:17.9533449Z   test_list_reversed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9533785Z ok (0.007s)
2022-11-23T01:20:17.9534278Z   test_list_slice_assignment_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9534635Z ok (0.005s)
2022-11-23T01:20:17.9535102Z   test_list_truth_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9535448Z ok (0.005s)
2022-11-23T01:20:17.9535914Z   test_listarg1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9536259Z ok (0.005s)
2022-11-23T01:20:17.9536727Z   test_listarg2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9537059Z ok (0.005s)
2022-11-23T01:20:17.9537529Z   test_listarg3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9537875Z ok (0.005s)
2022-11-23T01:20:17.9538341Z   test_listarg4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9538679Z ok (0.005s)
2022-11-23T01:20:17.9539369Z   test_listarg5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9539704Z ok (0.005s)
2022-11-23T01:20:17.9540180Z   test_load_global_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9540528Z ok (0.005s)
2022-11-23T01:20:17.9540842Z   test_map_sum_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9541259Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:17.9541507Z ok (0.010s)
2022-11-23T01:20:17.9541828Z   test_methodcall1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9542257Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9542497Z ok (0.006s)
2022-11-23T01:20:17.9542814Z   test_methodcall2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9543237Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9543469Z ok (0.008s)
2022-11-23T01:20:17.9543774Z   test_methodcall3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9544188Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9544419Z ok (0.008s)
2022-11-23T01:20:17.9544957Z   test_min_max_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:20:17.9545302Z ok (0.013s)
2022-11-23T01:20:17.9545782Z   test_module_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9546159Z ok (0.010s)
2022-11-23T01:20:17.9546625Z   test_ndim_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9546961Z ok (0.007s)
2022-11-23T01:20:17.9547423Z   test_pop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9547751Z ok (0.010s)
2022-11-23T01:20:17.9548218Z   test_reduce_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9548560Z ok (0.009s)
2022-11-23T01:20:17.9549028Z   test_return_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9549372Z ok (0.008s)
2022-11-23T01:20:17.9549841Z   test_return_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9550182Z ok (0.008s)
2022-11-23T01:20:17.9550733Z   test_return_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9551081Z ok (0.008s)
2022-11-23T01:20:17.9551561Z   test_return_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9551910Z ok (0.006s)
2022-11-23T01:20:17.9552373Z   test_shape1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9552713Z ok (0.004s)
2022-11-23T01:20:17.9553177Z   test_shape2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9553507Z ok (0.004s)
2022-11-23T01:20:17.9553972Z   test_slice1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9554303Z ok (0.004s)
2022-11-23T01:20:17.9554774Z   test_slice2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9555104Z ok (0.004s)
2022-11-23T01:20:17.9555563Z   test_slice3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9555898Z ok (0.004s)
2022-11-23T01:20:17.9556360Z   test_slice4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9556691Z ok (0.004s)
2022-11-23T01:20:17.9557148Z   test_slice5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9557478Z ok (0.004s)
2022-11-23T01:20:17.9557989Z   test_slice6_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9558329Z ok (0.005s)
2022-11-23T01:20:17.9558798Z   test_startswith_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9559171Z ok (0.006s)
2022-11-23T01:20:17.9559630Z   test_tensor_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9559972Z ok (0.005s)
2022-11-23T01:20:17.9560457Z   test_tensor_new_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9560810Z ok (0.006s)
2022-11-23T01:20:17.9561289Z   test_tensor_new_with_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9561636Z ok (0.006s)
2022-11-23T01:20:17.9562131Z   test_transpose_for_scores_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9562532Z ok (0.006s)
2022-11-23T01:20:17.9562983Z   test_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9563319Z ok (0.005s)
2022-11-23T01:20:17.9563775Z   test_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9564101Z ok (0.005s)
2022-11-23T01:20:17.9564576Z   test_tuple_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9564919Z ok (0.005s)
2022-11-23T01:20:17.9565392Z   test_tuple_iadd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9565727Z ok (0.006s)
2022-11-23T01:20:17.9566196Z   test_unpack1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9566539Z ok (0.005s)
2022-11-23T01:20:17.9567004Z   test_unpack2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9567331Z ok (0.006s)
2022-11-23T01:20:17.9567795Z   test_unpack3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9568139Z ok (0.005s)
2022-11-23T01:20:17.9568595Z   test_unpack_ex1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9568935Z ok (0.006s)
2022-11-23T01:20:17.9569400Z   test_unpack_ex2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9569744Z ok (0.006s)
2022-11-23T01:20:17.9570200Z   test_unpack_ex3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9570541Z ok (0.006s)
2022-11-23T01:20:17.9571057Z   test_viamethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9571438Z ok (0.005s)
2022-11-23T01:20:17.9571898Z   test_viatorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9572242Z ok (0.005s)
2022-11-23T01:20:17.9572662Z   test_allow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9573094Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9573336Z ok (0.006s)
2022-11-23T01:20:17.9573811Z   test_autocast_cpu_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9574157Z ok (0.009s)
2022-11-23T01:20:17.9574630Z   test_autocast_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9574983Z ok (0.652s)
2022-11-23T01:20:17.9575460Z   test_autocast_float64_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9575808Z ok (0.010s)
2022-11-23T01:20:17.9576269Z   test_autocast_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9576604Z ok (0.010s)
2022-11-23T01:20:17.9576935Z   test_autograd_function_equivalence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9577375Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9577621Z ok (0.009s)
2022-11-23T01:20:17.9578166Z   test_autograd_profiler_enabled_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:20:17.9578735Z STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:20:17.9579400Z STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:20:17.9579735Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9579947Z unimplemented []
2022-11-23T01:20:17.9580265Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T01:20:17.9580649Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9580901Z ok (0.280s)
2022-11-23T01:20:17.9581432Z   test_autograd_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:20:17.9581983Z STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:20:17.9582445Z STAGE:2022-11-23 01:20:10 856:856 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:20:17.9582883Z [2022-11-23 01:20:10,393] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:20:17.9583192Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9583402Z unimplemented []
2022-11-23T01:20:17.9583656Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:20:17.9583991Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9584239Z ok (0.015s)
2022-11-23T01:20:17.9584768Z   test_boolarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:20:17.9585118Z ok (0.009s)
2022-11-23T01:20:17.9585435Z   test_build_tuple_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9585904Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9586149Z ok (0.010s)
2022-11-23T01:20:17.9586627Z   test_builtin_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9586978Z ok (0.006s)
2022-11-23T01:20:17.9587319Z   test_builtin_subclasses_as_method_on_class_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:20:17.9587797Z   test_builtin_subclasses_as_method_on_var_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:20:17.9588402Z   test_callpacked_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9588751Z ok (0.008s)
2022-11-23T01:20:17.9589168Z   test_cell_output1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9589610Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9589849Z ok (0.004s)
2022-11-23T01:20:17.9590285Z   test_cell_output2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9590691Z unimplemented []
2022-11-23T01:20:17.9591108Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.9591532Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9591778Z ok (0.007s)
2022-11-23T01:20:17.9592266Z   test_change_backends_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:20:17.9592667Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9592867Z ok (0.021s)
2022-11-23T01:20:17.9593344Z   test_cond_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:20:17.9593688Z ok (0.023s)
2022-11-23T01:20:17.9594177Z   test_cond_export_single_arg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T01:20:17.9594533Z ok (0.013s)
2022-11-23T01:20:17.9594977Z   test_cond_nested_fake_tensor_off_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9595421Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:20:17.9595666Z ok (0.021s)
2022-11-23T01:20:17.9596086Z   test_cond_nested_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9596522Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:20:17.9596762Z ok (0.021s)
2022-11-23T01:20:17.9597168Z   test_cond_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9597602Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:20:17.9597837Z ok (0.011s)
2022-11-23T01:20:17.9598312Z   test_config_getattr_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9598771Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T01:20:17.9599046Z ok (0.026s)
2022-11-23T01:20:17.9599462Z   test_config_log_level_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9599905Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9600146Z ok (0.004s)
2022-11-23T01:20:17.9600551Z   test_config_obj_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9600988Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:20:17.9601235Z ok (0.019s)
2022-11-23T01:20:17.9601566Z   test_const_dict_variable_python_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:20:17.9602368Z   test_cross_entropy_loss_fancy_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:20:17.9602886Z   warnings.warn(warning.format(ret))
2022-11-23T01:20:17.9603102Z ok (0.002s)
2022-11-23T01:20:17.9603432Z   test_cross_entropy_loss_simple_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:20:17.9603985Z   test_dataclass_fields_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9604303Z inline_call []
2022-11-23T01:20:17.9604617Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9604863Z ok (0.036s)
2022-11-23T01:20:17.9605294Z   test_dict_mutation_side_effect_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9605752Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9605996Z ok (0.005s)
2022-11-23T01:20:17.9606448Z   test_dict_reconstruct_keeps_original_order_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:20:17.9607001Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T01:20:17.9607921Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T01:20:17.9608587Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T01:20:17.9608842Z ok (0.039s)
2022-11-23T01:20:17.9609251Z   test_dictcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9609564Z inline_call []
2022-11-23T01:20:17.9609880Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9610119Z ok (0.007s)
2022-11-23T01:20:17.9610440Z   test_disable_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:20:17.9610997Z   test_disallow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9611345Z unimplemented []
2022-11-23T01:20:17.9611746Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T01:20:17.9612175Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9612449Z ok (0.011s)
2022-11-23T01:20:17.9612763Z   test_dunder_methods_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9613194Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9613435Z ok (0.020s)
2022-11-23T01:20:17.9613754Z   test_duplicate_graph_break_warning_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... break
2022-11-23T01:20:17.9614059Z break
2022-11-23T01:20:17.9614285Z frames [('total', 9), ('ok', 9)]
2022-11-23T01:20:17.9614634Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T01:20:17.9614911Z unimplemented []
2022-11-23T01:20:17.9615253Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T01:20:17.9615651Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T01:20:17.9615893Z ok (0.022s)
2022-11-23T01:20:17.9616225Z   test_dynamo_min_operator_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:20:17.9616772Z   test_empty_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9617203Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9617449Z ok (0.007s)
2022-11-23T01:20:17.9617940Z   test_enum_no_graphbreaks_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9618297Z ok (0.009s)
2022-11-23T01:20:17.9618730Z   test_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9619383Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9619632Z ok (0.004s)
2022-11-23T01:20:17.9620103Z   test_fold_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9620439Z ok (0.003s)
2022-11-23T01:20:17.9620951Z   test_frozenset_torch_func_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9621310Z ok (0.008s)
2022-11-23T01:20:17.9621792Z   test_function_annotation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9622144Z ok (0.008s)
2022-11-23T01:20:17.9622612Z   test_generate_tensor_from_list_of_numpy_primitive_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9622970Z unimplemented []
2022-11-23T01:20:17.9623199Z graph_break [('numpy', 1)]
2022-11-23T01:20:17.9623526Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9623768Z ok (0.007s)
2022-11-23T01:20:17.9624181Z   test_grad_mode_guard_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9624503Z unimplemented []
2022-11-23T01:20:17.9624756Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:20:17.9625086Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9625334Z ok (0.010s)
2022-11-23T01:20:17.9625795Z   test_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9626107Z unimplemented []
2022-11-23T01:20:17.9626392Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:20:17.9626738Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9626981Z ok (0.009s)
2022-11-23T01:20:17.9627390Z   test_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9627706Z unimplemented []
2022-11-23T01:20:17.9628093Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T01:20:17.9628496Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:20:17.9628737Z ok (0.014s)
2022-11-23T01:20:17.9629216Z   test_id_of_nn_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9629561Z ok (0.008s)
2022-11-23T01:20:17.9630037Z   test_if_cond_nn_mod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9630379Z ok (0.008s)
2022-11-23T01:20:17.9630919Z   test_inference_mode_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9631360Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9631595Z ok (0.004s)
2022-11-23T01:20:17.9632024Z   test_inline_dict_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9632343Z inline_call []
2022-11-23T01:20:17.9632648Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9632888Z ok (0.006s)
2022-11-23T01:20:17.9633332Z   test_inline_func_jump_on_tensor_condition_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9633756Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:17.9633983Z unimplemented []
2022-11-23T01:20:17.9634260Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:17.9634611Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:20:17.9634844Z ok (0.010s)
2022-11-23T01:20:17.9635266Z   test_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9635582Z inline_call []
2022-11-23T01:20:17.9635884Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9636129Z ok (0.005s)
2022-11-23T01:20:17.9636595Z   test_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9636939Z ok (0.005s)
2022-11-23T01:20:17.9637417Z   test_inplace_param_update_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9637766Z ok (0.006s)
2022-11-23T01:20:17.9638242Z   test_is_floating_point2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9638577Z ok (0.005s)
2022-11-23T01:20:17.9639094Z   test_is_floating_point_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9639443Z ok (0.005s)
2022-11-23T01:20:17.9639857Z   test_is_tensor2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9640307Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9640547Z ok (0.007s)
2022-11-23T01:20:17.9640966Z   test_is_tensor_like2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9641274Z unimplemented []
2022-11-23T01:20:17.9641611Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T01:20:17.9642002Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9642245Z ok (0.010s)
2022-11-23T01:20:17.9642712Z   test_is_tensor_like_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9643059Z ok (0.009s)
2022-11-23T01:20:17.9643529Z   test_is_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9643866Z ok (0.006s)
2022-11-23T01:20:17.9644354Z   test_item_changes_new_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.9644703Z ok (0.012s)
2022-11-23T01:20:17.9645182Z   test_item_changes_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.9645518Z ok (0.010s)
2022-11-23T01:20:17.9645988Z   test_item_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9646322Z ok (0.006s)
2022-11-23T01:20:17.9646642Z   test_large_reduction_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.024s)
2022-11-23T01:20:17.9647075Z   test_linetable_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:20:17.9647632Z   test_list_append_return_none_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9648078Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9648324Z ok (0.006s)
2022-11-23T01:20:17.9648724Z   test_list_mul_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9649024Z ok (0.003s)
2022-11-23T01:20:17.9649435Z   test_listcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9649737Z inline_call []
2022-11-23T01:20:17.9650056Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9650297Z ok (0.010s)
2022-11-23T01:20:17.9650631Z   test_lnotab_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: use lnotab when python < 3.10 (0.001s)
2022-11-23T01:20:17.9651253Z   test_manual_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9651594Z ok (0.006s)
2022-11-23T01:20:17.9652062Z   test_matmul1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9652425Z ok (0.003s)
2022-11-23T01:20:17.9652745Z   test_module_complex_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.009s)
2022-11-23T01:20:17.9653328Z   test_module_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.9653646Z unimplemented []
2022-11-23T01:20:17.9653976Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)]
2022-11-23T01:20:17.9654239Z inline_call []
2022-11-23T01:20:17.9654553Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9654788Z ok (0.035s)
2022-11-23T01:20:17.9655104Z   test_named_parameters_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.014s)
2022-11-23T01:20:17.9655650Z   test_namedtuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9656086Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9656323Z ok (0.006s)
2022-11-23T01:20:17.9656747Z   test_namedtuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9657183Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9657416Z ok (0.006s)
2022-11-23T01:20:17.9657834Z   test_namedtuple3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9658270Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9658514Z ok (0.004s)
2022-11-23T01:20:17.9659079Z   test_nan_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9659531Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9659774Z ok (0.003s)
2022-11-23T01:20:17.9660090Z   test_nested_closure_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9660539Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T01:20:17.9660782Z ok (0.013s)
2022-11-23T01:20:17.9661092Z   test_nested_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9661525Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T01:20:17.9661767Z ok (0.015s)
2022-11-23T01:20:17.9662369Z   test_nested_disable_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:20:11,137] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T01:20:17.9662776Z due to: 
2022-11-23T01:20:17.9662982Z Traceback (most recent call last):
2022-11-23T01:20:17.9663364Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T01:20:17.9663650Z     raise Unsupported(msg)
2022-11-23T01:20:17.9664030Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7ffa90b1bb50>
2022-11-23T01:20:17.9664300Z 
2022-11-23T01:20:17.9664378Z from user code:
2022-11-23T01:20:17.9664642Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T01:20:17.9664898Z     return fn2(x)
2022-11-23T01:20:17.9665155Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T01:20:17.9665416Z     x = fn1(x)  # graph break
2022-11-23T01:20:17.9665544Z 
2022-11-23T01:20:17.9665681Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:20:17.9665911Z 
2022-11-23T01:20:17.9665917Z 
2022-11-23T01:20:17.9666041Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9666253Z unimplemented []
2022-11-23T01:20:17.9666698Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7ffa90b1bb50>', 1)]
2022-11-23T01:20:17.9667200Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9667684Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7ffa90b1bb50>', 1)]
2022-11-23T01:20:17.9668002Z ok (0.010s)
2022-11-23T01:20:17.9668330Z   test_nested_optimize_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9668762Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9669004Z ok (0.007s)
2022-11-23T01:20:17.9669501Z   test_nested_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:17.9669853Z ok (0.010s)
2022-11-23T01:20:17.9670334Z   test_nested_optimize_run_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:17.9670789Z ok (0.009s)
2022-11-23T01:20:17.9671129Z   test_nn_sequential_invocation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9671567Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9671813Z ok (0.009s)
2022-11-23T01:20:17.9672162Z   test_nn_sequential_invocation_reposition_indices_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9672624Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9672856Z ok (0.008s)
2022-11-23T01:20:17.9673305Z   test_no_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9673765Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9674001Z ok (0.005s)
2022-11-23T01:20:17.9674486Z   test_no_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T01:20:17.9674833Z ok (0.039s)
2022-11-23T01:20:17.9675313Z   test_numel_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9675648Z ok (0.005s)
2022-11-23T01:20:17.9676081Z   test_numpy_int_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9676525Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9676775Z ok (0.005s)
2022-11-23T01:20:17.9677215Z   test_numpy_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9677667Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9677912Z ok (0.004s)
2022-11-23T01:20:17.9678229Z   test_object_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9678668Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9678912Z ok (0.004s)
2022-11-23T01:20:17.9679268Z   test_object_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9679711Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9679978Z ok (0.004s)
2022-11-23T01:20:17.9680479Z   test_onnx_shape_as_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T01:20:17.9680821Z ok (0.018s)
2022-11-23T01:20:17.9681317Z   test_optimize_on_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9681673Z ok (0.004s)
2022-11-23T01:20:17.9682148Z   test_pair_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9682480Z ok (0.008s)
2022-11-23T01:20:17.9682907Z   test_python_slice_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9683217Z ok (0.006s)
2022-11-23T01:20:17.9683641Z   test_raise_on_backend_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:20:17.9684056Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T01:20:17.9684282Z ok (0.003s)
2022-11-23T01:20:17.9684699Z   test_raises_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9685002Z unimplemented []
2022-11-23T01:20:17.9685336Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T01:20:17.9685726Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9685963Z ok (0.007s)
2022-11-23T01:20:17.9686441Z   test_rand_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9686783Z ok (0.004s)
2022-11-23T01:20:17.9687094Z   test_range_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9687526Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9687773Z ok (0.005s)
2022-11-23T01:20:17.9688220Z   test_recursive_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9688542Z inline_call []
2022-11-23T01:20:17.9688858Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9689102Z ok (0.013s)
2022-11-23T01:20:17.9689533Z   test_release_input_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9689984Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9690227Z ok (0.003s)
2022-11-23T01:20:17.9690663Z   test_release_module_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9691105Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9691350Z ok (0.004s)
2022-11-23T01:20:17.9691863Z   test_repro_graph_breaks_in__get_item_by_idx_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9692228Z ok (0.005s)
2022-11-23T01:20:17.9692659Z   test_return_nested_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9693137Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:20:17.9693383Z ok (0.011s)
2022-11-23T01:20:17.9693689Z   test_sample_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.561s)
2022-11-23T01:20:17.9694319Z   test_setattr_mutation1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9694848Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T01:20:17.9695383Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T01:20:17.9695742Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9696076Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:20:17.9696323Z ok (0.013s)
2022-11-23T01:20:17.9696752Z   test_setattr_mutation2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9697072Z inline_call []
2022-11-23T01:20:17.9697393Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9697642Z ok (0.010s)
2022-11-23T01:20:17.9698059Z   test_setattr_mutation3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9698379Z inline_call []
2022-11-23T01:20:17.9698690Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9699098Z ok (0.010s)
2022-11-23T01:20:17.9699540Z   test_shape_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9699980Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9700219Z ok (0.004s)
2022-11-23T01:20:17.9700679Z   test_side_effects_codegen_update_mutated_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:20:17.9701026Z unimplemented []
2022-11-23T01:20:17.9701278Z graph_break [('Tensor.item', 4)]
2022-11-23T01:20:17.9701604Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:20:17.9701844Z ok (0.024s)
2022-11-23T01:20:17.9702263Z   test_size_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9702690Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.9702933Z ok (0.006s)
2022-11-23T01:20:17.9703405Z   test_slice_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:20:17.9703755Z ok (0.106s)
2022-11-23T01:20:17.9704183Z   test_tensor_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9704630Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9704873Z ok (0.010s)
2022-11-23T01:20:17.9705337Z   test_tensor_data_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9705681Z ok (0.006s)
2022-11-23T01:20:17.9706098Z   test_tensor_dict1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9706532Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9706767Z ok (0.005s)
2022-11-23T01:20:17.9707241Z   test_tensor_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9707680Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:17.9707944Z ok (0.016s)
2022-11-23T01:20:17.9708384Z   test_tensor_dot_grad_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9708714Z unimplemented []
2022-11-23T01:20:17.9708970Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:20:17.9709302Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.9709543Z ok (0.011s)
2022-11-23T01:20:17.9709966Z   test_tensor_is_contiguous_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9710396Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:17.9710741Z ok (0.012s)
2022-11-23T01:20:17.9711173Z   test_tensor_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9711610Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9711849Z ok (0.005s)
2022-11-23T01:20:17.9712279Z   test_tensor_item_no_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9712601Z unimplemented []
2022-11-23T01:20:17.9712839Z graph_break [('Tensor.item', 1)]
2022-11-23T01:20:17.9713168Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9713412Z ok (0.004s)
2022-11-23T01:20:17.9713878Z   test_tensor_layout_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9714228Z ok (0.005s)
2022-11-23T01:20:17.9714643Z   test_tensor_types_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 10), ('ok', 10)]
2022-11-23T01:20:17.9715084Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T01:20:17.9715326Z ok (0.028s)
2022-11-23T01:20:17.9715806Z   test_top_package_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9716153Z ok (0.004s)
2022-11-23T01:20:17.9716633Z   test_torch_cuda_is_available_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9716985Z ok (0.004s)
2022-11-23T01:20:17.9717432Z   test_torch_nn_parameter_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9717886Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9718121Z ok (0.005s)
2022-11-23T01:20:17.9718649Z   test_torch_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:20:12 856:856 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:20:17.9719205Z STAGE:2022-11-23 01:20:12 856:856 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:20:17.9719665Z STAGE:2022-11-23 01:20:12 856:856 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:20:17.9720092Z [2022-11-23 01:20:12,194] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:20:17.9720503Z [2022-11-23 01:20:12,195] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:20:17.9720805Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9721044Z unimplemented []
2022-11-23T01:20:17.9721297Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:20:17.9721635Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9721899Z ok (0.015s)
2022-11-23T01:20:17.9722409Z   test_torch_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9722772Z ok (0.005s)
2022-11-23T01:20:17.9723243Z   test_torch_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9723578Z ok (0.004s)
2022-11-23T01:20:17.9723990Z   test_type_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9724425Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.9724668Z ok (0.010s)
2022-11-23T01:20:17.9725097Z   test_typing_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9725547Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9725790Z ok (0.005s)
2022-11-23T01:20:17.9726246Z   test_unpack4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9726583Z ok (0.007s)
2022-11-23T01:20:17.9727052Z   test_unpack5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9727382Z ok (0.007s)
2022-11-23T01:20:17.9727962Z   test_unsupported_fake_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:20:12,247] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T01:20:17.9728374Z due to: 
2022-11-23T01:20:17.9728576Z Traceback (most recent call last):
2022-11-23T01:20:17.9728934Z   File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T01:20:17.9729297Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T01:20:17.9729694Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T01:20:17.9729926Z 
2022-11-23T01:20:17.9730075Z During handling of the above exception, another exception occurred:
2022-11-23T01:20:17.9730254Z 
2022-11-23T01:20:17.9730347Z Traceback (most recent call last):
2022-11-23T01:20:17.9730749Z   File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor
2022-11-23T01:20:17.9731129Z     raise UnsupportedFakeTensorException("quantized nyi in meta tensors")
2022-11-23T01:20:17.9731516Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors
2022-11-23T01:20:17.9731736Z 
2022-11-23T01:20:17.9731885Z The above exception was the direct cause of the following exception:
2022-11-23T01:20:17.9732063Z 
2022-11-23T01:20:17.9732163Z Traceback (most recent call last):
2022-11-23T01:20:17.9732537Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node
2022-11-23T01:20:17.9732811Z     raise RuntimeError(
2022-11-23T01:20:17.9733336Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7ffb51eebc60>(*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T01:20:17.9733717Z quantized nyi in meta tensors
2022-11-23T01:20:17.9733935Z (scroll up for backtrace)
2022-11-23T01:20:17.9734055Z 
2022-11-23T01:20:17.9734231Z The above exception was the direct cause of the following exception:
2022-11-23T01:20:17.9734410Z 
2022-11-23T01:20:17.9734511Z Traceback (most recent call last):
2022-11-23T01:20:17.9734896Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T01:20:17.9735213Z     raise TorchRuntimeError() from e
2022-11-23T01:20:17.9735466Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T01:20:17.9735624Z 
2022-11-23T01:20:17.9735703Z from user code:
2022-11-23T01:20:17.9735963Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T01:20:17.9736266Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T01:20:17.9736431Z 
2022-11-23T01:20:17.9736570Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:20:17.9736739Z 
2022-11-23T01:20:17.9736743Z 
2022-11-23T01:20:17.9736857Z frames [('total', 1)]
2022-11-23T01:20:17.9737178Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9737424Z ok (0.009s)
2022-11-23T01:20:17.9737896Z   test_update_locals_and_stack_uses_shared_cache_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9738244Z inline_call []
2022-11-23T01:20:17.9738429Z unimplemented []
2022-11-23T01:20:17.9738771Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T01:20:17.9739230Z ok (0.009s)
2022-11-23T01:20:17.9739733Z   test_user_defined_class_name_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9740090Z ok (0.007s)
2022-11-23T01:20:17.9740440Z   test_user_function_variable_supports_enum_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9740772Z ok (0.004s)
2022-11-23T01:20:17.9741119Z   test_user_function_variable_supports_function_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9741583Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9741833Z ok (0.005s)
2022-11-23T01:20:17.9742182Z   test_user_function_variable_supports_type_abcmeta_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9742647Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9742892Z ok (0.005s)
2022-11-23T01:20:17.9743316Z   test_user_getattr1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9743624Z inline_call []
2022-11-23T01:20:17.9743939Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9744188Z ok (0.005s)
2022-11-23T01:20:17.9744600Z   test_user_getattr2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9744919Z inline_call []
2022-11-23T01:20:17.9745236Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9745470Z ok (0.006s)
2022-11-23T01:20:17.9745889Z   test_user_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9746205Z inline_call []
2022-11-23T01:20:17.9746525Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9746762Z ok (0.005s)
2022-11-23T01:20:17.9747088Z   test_usr_cls_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9747587Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9747823Z ok (0.006s)
2022-11-23T01:20:17.9748150Z   test_usr_cls_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9748619Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9748860Z ok (0.006s)
2022-11-23T01:20:17.9749166Z   test_version_ci_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:20:17.9749612Z   test_write_to_closures_in_inlining_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9750055Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9750292Z ok (0.006s)
2022-11-23T01:20:17.9750867Z   test_basicmodule1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9751230Z ok (0.007s)
2022-11-23T01:20:17.9751710Z   test_basicmodule2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9752054Z ok (0.007s)
2022-11-23T01:20:17.9752431Z   test_call_fn_with_non_const_inputs_safe_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9752882Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9753115Z ok (0.009s)
2022-11-23T01:20:17.9753582Z   test_cfgmod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.9753922Z ok (0.011s)
2022-11-23T01:20:17.9754395Z   test_children_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9754727Z ok (0.008s)
2022-11-23T01:20:17.9755198Z   test_constloop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.9755543Z ok (0.010s)
2022-11-23T01:20:17.9755857Z   test_densenet_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9756271Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9756513Z ok (0.013s)
2022-11-23T01:20:17.9756827Z   test_enumvalues_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9757241Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9757482Z ok (0.012s)
2022-11-23T01:20:17.9757947Z   test_fnmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9758286Z ok (0.006s)
2022-11-23T01:20:17.9758753Z   test_fnmembercmp1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9759097Z ok (0.007s)
2022-11-23T01:20:17.9759569Z   test_fnmembercmp2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9759902Z ok (0.007s)
2022-11-23T01:20:17.9760217Z   test_forward_directly_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9760685Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9760925Z ok (0.010s)
2022-11-23T01:20:17.9761233Z   test_generation_tag_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:20:17.9761871Z   test_hasattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9762210Z ok (0.007s)
2022-11-23T01:20:17.9762666Z   test_intarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9763005Z ok (0.006s)
2022-11-23T01:20:17.9763476Z   test_iseval1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9763815Z ok (0.006s)
2022-11-23T01:20:17.9764270Z   test_iseval2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9764608Z ok (0.006s)
2022-11-23T01:20:17.9765081Z   test_isnonelayer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9765424Z ok (0.006s)
2022-11-23T01:20:17.9765891Z   test_istraining1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9766231Z ok (0.006s)
2022-11-23T01:20:17.9766704Z   test_istraining2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9767045Z ok (0.006s)
2022-11-23T01:20:17.9767511Z   test_layerlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9767857Z ok (0.007s)
2022-11-23T01:20:17.9768526Z   test_lazy_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:17.9769130Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:17.9769792Z [2022-11-23 01:20:12,489] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7ffaa26b4700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:20:17.9770539Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:17.9771042Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:17.9771613Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:17.9772097Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:17.9772752Z [2022-11-23 01:20:12,516] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7ffaa26b4700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:20:17.9773542Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:17.9774048Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:17.9774377Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:20:17.9775105Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:20:17.9775780Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:20:17.9776198Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:20:17.9776574Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9776820Z ok (0.126s)
2022-11-23T01:20:17.9777162Z   test_module_attribute_precedence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9777612Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9777849Z ok (0.009s)
2022-11-23T01:20:17.9778177Z   test_module_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9778610Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9779003Z ok (0.015s)
2022-11-23T01:20:17.9779539Z   test_module_name_string_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9779892Z ok (0.008s)
2022-11-23T01:20:17.9780214Z   test_module_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9780641Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9780888Z ok (0.006s)
2022-11-23T01:20:17.9781218Z   test_module_static_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9781649Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9781895Z ok (0.014s)
2022-11-23T01:20:17.9782375Z   test_moduledict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9782748Z ok (0.005s)
2022-11-23T01:20:17.9783229Z   test_modulelist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:20:17.9783579Z ok (0.038s)
2022-11-23T01:20:17.9783907Z   test_modulemethod1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9784345Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9784587Z ok (0.014s)
2022-11-23T01:20:17.9784911Z   test_modulemethod2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9785347Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:17.9785585Z ok (0.014s)
2022-11-23T01:20:17.9786079Z   test_nn_moduledict_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:20:17.9786491Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:17.9786781Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:20:17.9787314Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:20:17.9787733Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:20:17.9787999Z ok (0.016s)
2022-11-23T01:20:17.9788314Z   test_parameters1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9788750Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9788999Z ok (0.008s)
2022-11-23T01:20:17.9789311Z   test_parameters2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9789741Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9789987Z ok (0.007s)
2022-11-23T01:20:17.9790472Z   test_parameters3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9790895Z ok (0.008s)
2022-11-23T01:20:17.9791378Z   test_self_mutating1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:17.9791733Z ok (0.019s)
2022-11-23T01:20:17.9792194Z   test_seq_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9792533Z ok (0.007s)
2022-11-23T01:20:17.9793148Z   test_simple_torch_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:17.9793686Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:17.9794219Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:17.9794649Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:17.9794926Z inline_call []
2022-11-23T01:20:17.9795246Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9795491Z ok (0.010s)
2022-11-23T01:20:17.9795974Z   test_stringmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9796326Z ok (0.007s)
2022-11-23T01:20:17.9796639Z   test_submodules1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9797074Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9797325Z ok (0.014s)
2022-11-23T01:20:17.9797645Z   test_submodules2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9798069Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:17.9798311Z ok (0.014s)
2022-11-23T01:20:17.9798622Z   test_super1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9799043Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9799286Z ok (0.010s)
2022-11-23T01:20:17.9799611Z   test_super_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9800048Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9800293Z ok (0.006s)
2022-11-23T01:20:17.9800807Z   test_tensorlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9801156Z ok (0.008s)
2022-11-23T01:20:17.9801770Z   test_torch_function_with_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:17.9802332Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:17.9802865Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:17.9803291Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:17.9803682Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9803932Z ok (0.006s)
2022-11-23T01:20:17.9804374Z   test_unsupportedmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9804915Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.9805221Z unimplemented []
2022-11-23T01:20:17.9805618Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.9806055Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:20:17.9806292Z ok (0.016s)
2022-11-23T01:20:17.9806727Z   test_unsupportedmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9807255Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.9807565Z unimplemented []
2022-11-23T01:20:17.9807956Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.9808383Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:20:17.9808634Z ok (0.017s)
2022-11-23T01:20:17.9808952Z   test_viamodulecall_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9809391Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9809639Z ok (0.007s)
2022-11-23T01:20:17.9810047Z   test_Size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9810530Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:17.9810818Z unimplemented []
2022-11-23T01:20:17.9811192Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:17.9811597Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9811843Z ok (0.008s)
2022-11-23T01:20:17.9812271Z   test_abc_setattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9812594Z unimplemented []
2022-11-23T01:20:17.9813025Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7ff9c7658700>', 1)]
2022-11-23T01:20:17.9813353Z inline_call []
2022-11-23T01:20:17.9813668Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9813910Z ok (0.008s)
2022-11-23T01:20:17.9814235Z   test_batch_norm_act_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9814697Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9814939Z ok (0.013s)
2022-11-23T01:20:17.9815381Z   test_bigbird_unsqueeze_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9815866Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9816174Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9816375Z ok (0.424s)
2022-11-23T01:20:17.9816688Z   test_boxes_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9817111Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9817352Z ok (0.008s)
2022-11-23T01:20:17.9817673Z   test_chunk_reformer_ff_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9818110Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9818358Z ok (0.046s)
2022-11-23T01:20:17.9819004Z   test_class_member_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9819415Z ok (0.007s)
2022-11-23T01:20:17.9819874Z   test_convert_boxes_to_pooler_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9820199Z inline_call []
2022-11-23T01:20:17.9820396Z unimplemented []
2022-11-23T01:20:17.9820693Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:20:17.9821050Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:17.9821313Z ok (0.050s)
2022-11-23T01:20:17.9821678Z   test_create_rand_mask_from_inputs_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9822175Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:17.9822427Z ok (0.073s)
2022-11-23T01:20:17.9822766Z   test_dict_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:20:17.9823386Z   test_dict_list_values_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.9823732Z unimplemented []
2022-11-23T01:20:17.9824261Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:20:17.9824627Z ok (0.015s)
2022-11-23T01:20:17.9825112Z   test_do_paste_mask_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:20:17.9825560Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:17.9825980Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T01:20:17.9826414Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T01:20:17.9826677Z ok (0.278s)
2022-11-23T01:20:17.9827224Z   test_ellipsis_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9827603Z ok (0.009s)
2022-11-23T01:20:17.9828078Z   test_exec_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:17.9828585Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9828877Z unimplemented []
2022-11-23T01:20:17.9829258Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9829531Z ok (0.004s)
2022-11-23T01:20:17.9830084Z   test_exec_wildcard_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:17.9830654Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9830967Z unimplemented []
2022-11-23T01:20:17.9831302Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9831697Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.9831947Z ok (0.009s)
2022-11-23T01:20:17.9832380Z   test_for_loop_graph_break_before_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9832715Z unimplemented []
2022-11-23T01:20:17.9833106Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:17.9833402Z inline_call []
2022-11-23T01:20:17.9833719Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:20:17.9833968Z ok (0.103s)
2022-11-23T01:20:17.9834405Z   test_for_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9834723Z inline_call []
2022-11-23T01:20:17.9835115Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:17.9835544Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9835787Z ok (0.009s)
2022-11-23T01:20:17.9836119Z   test_get_parameter_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9836557Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9836806Z ok (0.007s)
2022-11-23T01:20:17.9837151Z   test_grad_mode_carrying_correct_state_after_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Break
2022-11-23T01:20:17.9837532Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9837747Z unimplemented []
2022-11-23T01:20:17.9838088Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9838482Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.9838842Z ok (0.010s)
2022-11-23T01:20:17.9839278Z   test_guard_fail_nested_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9839720Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9839963Z ok (0.009s)
2022-11-23T01:20:17.9840595Z   test_guard_fail_tensor_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:20:14,010] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT <graph break in check_equal> /var/lib/jenkins/workspace/test/dynamo/test_repros.py line 1356 
2022-11-23T01:20:17.9841026Z due to: 
2022-11-23T01:20:17.9841229Z Traceback (most recent call last):
2022-11-23T01:20:17.9841644Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 818, in wrap_fx_proxy_cls
2022-11-23T01:20:17.9841954Z     raise AssertionError(
2022-11-23T01:20:17.9842371Z AssertionError: torch.* op returned non-Tensor bool call_function <built-in method allclose of type object at 0x7ffb51eebc60>
2022-11-23T01:20:17.9842606Z 
2022-11-23T01:20:17.9842687Z from user code:
2022-11-23T01:20:17.9842981Z    File "/var/lib/jenkins/workspace/test/dynamo/test_repros.py", line 1358, in <graph break in check_equal>
2022-11-23T01:20:17.9843293Z     assert torch.allclose(expected, result)
2022-11-23T01:20:17.9843445Z 
2022-11-23T01:20:17.9843587Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:20:17.9843759Z 
2022-11-23T01:20:17.9843805Z 
2022-11-23T01:20:17.9843935Z frames [('total', 7), ('ok', 6)]
2022-11-23T01:20:17.9844274Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:20:17.9844833Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7ffa5162b640>', 5)]
2022-11-23T01:20:17.9845172Z ok (0.019s)
2022-11-23T01:20:17.9845503Z   test_guard_ordering_shape_fail_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:20:17.9845954Z   test_hf_model_output_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9846382Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:20:17.9846635Z ok (0.048s)
2022-11-23T01:20:17.9846955Z   test_hf_t5_forward_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9847381Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:20:17.9847632Z ok (0.423s)
2022-11-23T01:20:17.9848064Z   test_indexing_with_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9848441Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:20:17.9848652Z unimplemented []
2022-11-23T01:20:17.9848903Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:20:17.9849247Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:20:17.9849488Z ok (0.015s)
2022-11-23T01:20:17.9849814Z   test_is_symbolic_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9850252Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9850492Z ok (0.005s)
2022-11-23T01:20:17.9850813Z   test_isinstance_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:20:17.9851691Z   test_isinstance_storage_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:20:17.9852249Z   warnings.warn(message, UserWarning)
2022-11-23T01:20:17.9852513Z frames [('total', 12), ('ok', 11)]
2022-11-23T01:20:17.9852726Z unimplemented []
2022-11-23T01:20:17.9853210Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:17.9853753Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:17.9854049Z expected failure (0.011s)
2022-11-23T01:20:17.9854393Z   test_issue1466_size_aot_autograd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... arf
2022-11-23T01:20:17.9854699Z arf
2022-11-23T01:20:17.9854916Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9855129Z unimplemented []
2022-11-23T01:20:17.9855476Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9855864Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.9856173Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9856381Z ok (0.024s)
2022-11-23T01:20:17.9856696Z   test_issue175_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9857117Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:20:17.9857400Z ok (0.018s)
2022-11-23T01:20:17.9857891Z   test_longformer_chunk_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9858272Z ok (0.088s)
2022-11-23T01:20:17.9858701Z   test_maml_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9859282Z inline_call [('inlining disallowed: <function grad at 0x7ffaa260c940>', 1)]
2022-11-23T01:20:17.9859540Z unimplemented []
2022-11-23T01:20:17.9859961Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7ffaa260c940>', 1)]
2022-11-23T01:20:17.9860397Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:20:17.9860644Z ok (0.078s)
2022-11-23T01:20:17.9861070Z   test_maml_no_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:17.9861521Z inline_call [('inlining disallowed: <function grad at 0x7ffaa260c940>', 1)]
2022-11-23T01:20:17.9861784Z unimplemented []
2022-11-23T01:20:17.9862238Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7ffaa260c940>', 1)]
2022-11-23T01:20:17.9862682Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:20:17.9862932Z ok (0.104s)
2022-11-23T01:20:17.9863415Z   test_modules_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9863752Z ok (0.008s)
2022-11-23T01:20:17.9864179Z   test_multi_dot_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9864708Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:17.9865019Z unimplemented []
2022-11-23T01:20:17.9865418Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:17.9865844Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9866090Z ok (0.010s)
2022-11-23T01:20:17.9866421Z   test_multi_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires detectron2 (0.001s)
2022-11-23T01:20:17.9867038Z   test_named_buffers_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.9867388Z ok (0.008s)
2022-11-23T01:20:17.9867815Z   test_nn_parameter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9868288Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:17.9868569Z unimplemented []
2022-11-23T01:20:17.9868921Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:17.9888152Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9888485Z ok (0.010s)
2022-11-23T01:20:17.9888987Z   test_not_rewrite_assert_for_other_errors_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9889447Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9889695Z ok (0.006s)
2022-11-23T01:20:17.9890268Z   test_not_rewrite_assert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:17.9890613Z ok (0.003s)
2022-11-23T01:20:17.9891031Z   test_numpy_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9891401Z unimplemented []
2022-11-23T01:20:17.9891829Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7ffa515da680>', 1)]
2022-11-23T01:20:17.9892267Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9892513Z ok (0.025s)
2022-11-23T01:20:17.9892944Z   test_optimized_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9893394Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9893633Z ok (0.007s)
2022-11-23T01:20:17.9894055Z   test_primtorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9894576Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:17.9894884Z unimplemented []
2022-11-23T01:20:17.9895285Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:17.9895579Z ok (0.005s)
2022-11-23T01:20:17.9896144Z   test_primtorch_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:17.9896576Z expected failure (0.003s)
2022-11-23T01:20:17.9897022Z   test_recursive_map_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9897349Z inline_call []
2022-11-23T01:20:17.9897656Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9897732Z ok (0.010s)
2022-11-23T01:20:17.9897944Z   test_reformer_eval_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9898144Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:20:17.9898213Z ok (0.023s)
2022-11-23T01:20:17.9898427Z   test_reformer_min_chunk_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9898628Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9898694Z ok (0.009s)
2022-11-23T01:20:17.9899108Z   test_reformer_sorting_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:20:17.9899382Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:20:17.9899459Z ok (0.031s)
2022-11-23T01:20:17.9899777Z   test_reformer_train_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9900073Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:17.9900157Z unimplemented []
2022-11-23T01:20:17.9900522Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:17.9900729Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:17.9900795Z ok (0.043s)
2022-11-23T01:20:17.9901115Z   test_reinplacing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9901377Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9901518Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9901593Z ok (1.405s)
2022-11-23T01:20:17.9902018Z   test_relative_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9902096Z ok (0.006s)
2022-11-23T01:20:17.9902503Z   test_relative_import_no_modulename_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9902571Z ok (0.005s)
2022-11-23T01:20:17.9902961Z   test_rewrite_assert_noop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:17.9903036Z ok (0.018s)
2022-11-23T01:20:17.9903429Z   test_rewrite_assert_with_fstring_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:17.9903508Z ok (0.004s)
2022-11-23T01:20:17.9903898Z   test_rewrite_assert_with_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:20:17.9903974Z ok (0.020s)
2022-11-23T01:20:17.9904372Z   test_rewrite_assert_without_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:20:17.9904451Z ok (0.012s)
2022-11-23T01:20:17.9904755Z   test_rng_state_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9904963Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:17.9905038Z ok (0.011s)
2022-11-23T01:20:17.9905415Z   test_seq_append_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9905493Z ok (0.012s)
2022-11-23T01:20:17.9906154Z   test_sigmoid_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9906259Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:17.9907090Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9907199Z   return node.target(*args, **kwargs)
2022-11-23T01:20:17.9907767Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9907935Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:17.9908064Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.9908272Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:17.9908340Z ok (0.026s)
2022-11-23T01:20:17.9908736Z   test_slice_into_list_mutable_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:20:17.9908812Z ok (0.024s)
2022-11-23T01:20:17.9909140Z   test_slicing_dynamic_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9909316Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:20:17.9909522Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.9909597Z ok (0.008s)
2022-11-23T01:20:17.9909941Z   test_slicing_dynamic_shape_setitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:17.9910110Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:17.9910278Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:17.9910479Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9910626Z ok (0.007s)
2022-11-23T01:20:17.9911280Z   test_sort_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9911402Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:17.9912231Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9912336Z   return node.target(*args, **kwargs)
2022-11-23T01:20:17.9912884Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9913002Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:17.9913576Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:17.9913694Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:17.9913823Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.9914029Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:17.9914129Z ok (0.035s)
2022-11-23T01:20:17.9914456Z   test_specialized_stride_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9914657Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9914733Z ok (0.004s)
2022-11-23T01:20:17.9915066Z   test_tensor_isinstance_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9915273Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9915349Z ok (0.004s)
2022-11-23T01:20:17.9915669Z   test_tokenization_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9915916Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:17.9915996Z unimplemented []
2022-11-23T01:20:17.9916242Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:17.9916318Z ok (0.008s)
2022-11-23T01:20:17.9916698Z   test_torch_ops_aten_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9916775Z ok (0.009s)
2022-11-23T01:20:17.9917159Z   test_vdd_duplicate_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.9917235Z ok (0.010s)
2022-11-23T01:20:17.9917572Z   test_while_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9917644Z inline_call []
2022-11-23T01:20:17.9917928Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:17.9918130Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9918205Z ok (0.006s)
2022-11-23T01:20:17.9918428Z   test_with_on_graph_break_inst_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Hello world
2022-11-23T01:20:17.9918504Z Hello world
2022-11-23T01:20:17.9918636Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:20:17.9918865Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:17.9918941Z unimplemented []
2022-11-23T01:20:17.9919207Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:20:17.9919412Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:20:17.9919487Z ok (0.023s)
2022-11-23T01:20:17.9919826Z   test_builtin_functions_on_cuda_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.9919910Z unimplemented []
2022-11-23T01:20:17.9920074Z graph_break [('construct nn.Module: ReLU', 1)]
2022-11-23T01:20:17.9920144Z inline_call []
2022-11-23T01:20:17.9920347Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9920427Z ok (0.009s)
2022-11-23T01:20:17.9920747Z   test_builtin_getitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9920948Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9921025Z ok (0.012s)
2022-11-23T01:20:17.9921363Z   test_builtin_max_min_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9921583Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:17.9921649Z ok (0.006s)
2022-11-23T01:20:17.9921992Z   test_feed_random_values_into_graph_only_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9922196Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.9922274Z ok (0.006s)
2022-11-23T01:20:17.9922682Z   test_multiple_consecutive_random_calls_before_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9922879Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9922956Z ok (0.008s)
2022-11-23T01:20:17.9923276Z   test_no_recompilations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9923468Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9923543Z ok (0.005s)
2022-11-23T01:20:17.9923857Z   test_numpy_correctness_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.9924057Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:20:17.9924216Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:20:17.9924421Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9924496Z ok (0.023s)
2022-11-23T01:20:17.9924830Z   test_random_call_with_while_loop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9925025Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:17.9925099Z ok (0.006s)
2022-11-23T01:20:17.9925437Z   test_random_values_with_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.9925526Z unimplemented []
2022-11-23T01:20:17.9925659Z graph_break [('Tensor.item', 2)]
2022-11-23T01:20:17.9925858Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:20:17.9925933Z ok (0.018s)
2022-11-23T01:20:17.9926267Z   test_unspec_float_precision_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.9926456Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.9926533Z ok (0.175s)
2022-11-23T01:20:17.9926540Z 
2022-11-23T01:20:17.9926746Z ----------------------------------------------------------------------
2022-11-23T01:20:17.9926836Z Ran 375 tests in 9.300s
2022-11-23T01:20:17.9926842Z 
2022-11-23T01:20:17.9926945Z OK (skipped=2, expected failures=2)
2022-11-23T01:20:17.9926954Z 
2022-11-23T01:20:17.9927048Z Generating XML reports...
2022-11-23T01:20:17.9927442Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123012007.xml
2022-11-23T01:20:17.9927817Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123012007.xml
2022-11-23T01:20:17.9928200Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123012007.xml
2022-11-23T01:20:17.9928569Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123012007.xml
2022-11-23T01:20:17.9928972Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123012007.xml
2022-11-23T01:20:17.9928979Z 
2022-11-23T01:20:17.9929346Z ##[endgroup]
2022-11-23T01:20:17.9929702Z FINISHED PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_qn3r587r)
2022-11-23T01:20:17.9929709Z 
2022-11-23T01:20:19.9311312Z Ignoring disabled issues:  []
2022-11-23T01:20:19.9545848Z Running dynamo/test_python_autograd ... [2022-11-23 01:20:19.953940]
2022-11-23T01:20:19.9546929Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:19.954287]
2022-11-23T01:20:23.3296842Z 
2022-11-23T01:20:23.3297324Z Expand the folded group to see the log file of dynamo/test_python_autograd
2022-11-23T01:20:23.3298306Z ##[group]PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_axh02bem)
2022-11-23T01:20:23.3298666Z 
2022-11-23T01:20:23.3298780Z Running tests...
2022-11-23T01:20:23.3299543Z ----------------------------------------------------------------------
2022-11-23T01:20:23.3300169Z Test results will be stored in test-reports/python-unittest/dynamo.test_python_autograd
2022-11-23T01:20:23.3300638Z   test_backwards1 (__main__.TestPythonAutograd) ... ok (1.251s)
2022-11-23T01:20:23.3301048Z   test_backwards2 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:23.3301578Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:23.3301923Z inline_call []
2022-11-23T01:20:23.3302374Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:23.3302704Z ok (0.097s)
2022-11-23T01:20:23.3303031Z   test_forwards1 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:23.3303412Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:23.3303652Z ok (0.029s)
2022-11-23T01:20:23.3303918Z   test_forwards2 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:23.3304304Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:23.3304538Z ok (0.028s)
2022-11-23T01:20:23.3304787Z   test_split (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:23.3305148Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:23.3305382Z ok (0.097s)
2022-11-23T01:20:23.3305491Z 
2022-11-23T01:20:23.3305691Z ----------------------------------------------------------------------
2022-11-23T01:20:23.3305951Z Ran 5 tests in 1.502s
2022-11-23T01:20:23.3306073Z 
2022-11-23T01:20:23.3306143Z OK
2022-11-23T01:20:23.3306236Z 
2022-11-23T01:20:23.3306330Z Generating XML reports...
2022-11-23T01:20:23.3306782Z Generated XML report: test-reports/python-unittest/dynamo.test_python_autograd/TEST-TestPythonAutograd-20221123012021.xml
2022-11-23T01:20:23.3307046Z 
2022-11-23T01:20:23.3307297Z ##[endgroup]
2022-11-23T01:20:23.3307724Z FINISHED PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_axh02bem)
2022-11-23T01:20:23.3307978Z 
2022-11-23T01:20:25.2834328Z Ignoring disabled issues:  []
2022-11-23T01:20:25.3065749Z Running dynamo/test_skip_non_tensor ... [2022-11-23 01:20:25.305588]
2022-11-23T01:20:25.3066819Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:25.305947]
2022-11-23T01:20:28.4029611Z 
2022-11-23T01:20:28.4030273Z Expand the folded group to see the log file of dynamo/test_skip_non_tensor
2022-11-23T01:20:28.4031681Z ##[group]PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_ky61a5xk)
2022-11-23T01:20:28.4032233Z 
2022-11-23T01:20:28.4032804Z Running tests...
2022-11-23T01:20:28.4033914Z ----------------------------------------------------------------------
2022-11-23T01:20:28.4034702Z Test results will be stored in test-reports/python-unittest/dynamo.test_skip_non_tensor
2022-11-23T01:20:28.4035490Z   test_add_skip (__main__.SkipNonTensorTests) ... ok (1.128s)
2022-11-23T01:20:28.4036417Z   test_add_tensor1 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:28.4037047Z ok (0.089s)
2022-11-23T01:20:28.4037838Z   test_add_tensor2 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:28.4038439Z ok (0.005s)
2022-11-23T01:20:28.4043721Z   test_add_tensor_dict (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:28.4044209Z ok (0.004s)
2022-11-23T01:20:28.4044834Z   test_add_tensor_list (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:28.4045290Z ok (0.004s)
2022-11-23T01:20:28.4045659Z   test_custom_list (__main__.SkipNonTensorTests) ... ok (0.001s)
2022-11-23T01:20:28.4046102Z   test_recursive_list (__main__.SkipNonTensorTests) ... ok (0.001s)
2022-11-23T01:20:28.4046367Z 
2022-11-23T01:20:28.4046644Z ----------------------------------------------------------------------
2022-11-23T01:20:28.4047009Z Ran 7 tests in 1.234s
2022-11-23T01:20:28.4047185Z 
2022-11-23T01:20:28.4047291Z OK
2022-11-23T01:20:28.4047432Z 
2022-11-23T01:20:28.4047566Z Generating XML reports...
2022-11-23T01:20:28.4048199Z Generated XML report: test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123012026.xml
2022-11-23T01:20:28.4048533Z 
2022-11-23T01:20:28.4048915Z ##[endgroup]
2022-11-23T01:20:28.4049441Z FINISHED PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_ky61a5xk)
2022-11-23T01:20:28.4049686Z 
2022-11-23T01:20:30.3049759Z Ignoring disabled issues:  []
2022-11-23T01:20:30.3283690Z Running dynamo/test_verify_correctness ... [2022-11-23 01:20:30.327821]
2022-11-23T01:20:30.3284968Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:30.328169]
2022-11-23T01:20:33.5710186Z 
2022-11-23T01:20:33.5710687Z Expand the folded group to see the log file of dynamo/test_verify_correctness
2022-11-23T01:20:33.5711667Z ##[group]PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_rgi75cqi)
2022-11-23T01:20:33.5711936Z 
2022-11-23T01:20:33.5712020Z Running tests...
2022-11-23T01:20:33.5712455Z ----------------------------------------------------------------------
2022-11-23T01:20:33.5712874Z Test results will be stored in test-reports/python-unittest/dynamo.test_verify_correctness
2022-11-23T01:20:33.5713242Z   test_example_inputs (__main__.TestVerifyCorrectness) ... ok (1.251s)
2022-11-23T01:20:33.5713558Z   test_incorrect_verify_false (__main__.TestVerifyCorrectness)
2022-11-23T01:20:33.5714005Z The bad optimization return a graph that ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:33.5714353Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:33.5714685Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:20:33.5714935Z ok (0.015s)
2022-11-23T01:20:33.5715176Z   test_incorrect_verify_true (__main__.TestVerifyCorrectness)
2022-11-23T01:20:33.5715635Z If a bad optimization return a graph that ... [2022-11-23 01:20:33,047] torch._dynamo.eval_frame: [ERROR] error in verify_correctness
2022-11-23T01:20:33.5715954Z Traceback (most recent call last):
2022-11-23T01:20:33.5716335Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 354, in __call__
2022-11-23T01:20:33.5716676Z     raise RuntimeError(f"incorrect results of backend {self}")
2022-11-23T01:20:33.5717276Z RuntimeError: incorrect results of backend <torch._dynamo.eval_frame.WrapperBackend object at 0x7f2fe6b52110>
2022-11-23T01:20:33.5717629Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:33.5718009Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:33.5718259Z ok (0.015s)
2022-11-23T01:20:33.5718532Z   test_ipex_fp32 (__main__.TestVerifyCorrectness) ... skip: requires ipex (0.001s)
2022-11-23T01:20:33.5718917Z   test_nnc (__main__.TestVerifyCorrectness) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:33.5719301Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:33.5719547Z ok (0.088s)
2022-11-23T01:20:33.5719659Z 
2022-11-23T01:20:33.5719854Z ----------------------------------------------------------------------
2022-11-23T01:20:33.5720119Z Ran 5 tests in 1.371s
2022-11-23T01:20:33.5720245Z 
2022-11-23T01:20:33.5720327Z OK (skipped=1)
2022-11-23T01:20:33.5720444Z 
2022-11-23T01:20:33.5720542Z Generating XML reports...
2022-11-23T01:20:33.5720997Z Generated XML report: test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123012031.xml
2022-11-23T01:20:33.5721264Z 
2022-11-23T01:20:33.5721506Z ##[endgroup]
2022-11-23T01:20:33.5721948Z FINISHED PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_rgi75cqi)
2022-11-23T01:20:33.5722197Z 
2022-11-23T01:20:35.4868340Z Ignoring disabled issues:  []
2022-11-23T01:20:35.5107919Z Running inductor/test_torchinductor ... [2022-11-23 01:20:35.510120]
2022-11-23T01:20:35.5108556Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:35.510463]
2022-11-23T01:21:11.9658921Z 
2022-11-23T01:21:11.9659588Z Expand the folded group to see the log file of dynamo/test_minifier
2022-11-23T01:21:11.9660414Z ##[group]PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_kk4n98fa)
2022-11-23T01:21:11.9660664Z 
2022-11-23T01:21:11.9660746Z Running tests...
2022-11-23T01:21:11.9662217Z ----------------------------------------------------------------------
2022-11-23T01:21:11.9662865Z Test results will be stored in test-reports/python-unittest/dynamo.test_minifier
2022-11-23T01:21:11.9663233Z   test_after_dynamo_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (2.613s)
2022-11-23T01:21:11.9663628Z   test_after_dynamo_cpu_accuracy_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_08_471470/minifier/
2022-11-23T01:21:11.9663923Z ok (4.871s)
2022-11-23T01:21:11.9665248Z   test_after_dynamo_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (1.573s)
2022-11-23T01:21:11.9665786Z   test_after_dynamo_cpu_compile_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_15_119575/minifier/
2022-11-23T01:21:11.9666227Z ok (5.289s)
2022-11-23T01:21:11.9666609Z   test_after_dynamo_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (1.619s)
2022-11-23T01:21:11.9666984Z   test_after_dynamo_cpu_runtime_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_21_808445/minifier/
2022-11-23T01:21:11.9667272Z ok (4.890s)
2022-11-23T01:21:11.9670529Z   test_after_dynamo_cuda_accuracy_backend_passes (__main__.MinifierTests) ... ok (2.587s)
2022-11-23T01:21:11.9671146Z   test_after_dynamo_cuda_accuracy_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_30_196137/minifier/
2022-11-23T01:21:11.9671550Z ok (7.873s)
2022-11-23T01:21:11.9671909Z   test_after_dynamo_cuda_compile_backend_passes (__main__.MinifierTests) ... ok (2.508s)
2022-11-23T01:21:11.9672424Z   test_after_dynamo_cuda_compile_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_40_538985/minifier/
2022-11-23T01:21:11.9672799Z ok (7.687s)
2022-11-23T01:21:11.9673293Z   test_after_dynamo_cuda_runtime_backend_passes (__main__.MinifierTests) ... ok (2.495s)
2022-11-23T01:21:11.9673678Z   test_after_dynamo_cuda_runtime_error (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_50_763389/minifier/
2022-11-23T01:21:11.9674065Z ok (7.716s)
2022-11-23T01:21:11.9674405Z   test_after_dynamo_custom_backend (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_20_57_576653/minifier/
2022-11-23T01:21:11.9674694Z ok (3.025s)
2022-11-23T01:21:11.9674997Z   test_cpu_cuda_module_after_dynamo (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_21_01_466159/minifier/
2022-11-23T01:21:11.9675338Z ok (7.405s)
2022-11-23T01:21:11.9675625Z   test_if_graph_minified (__main__.MinifierTests) ... repro dir: /tmp/tmpzcrg1d1g/run_2022_11_23_01_21_08_011472/minifier/
2022-11-23T01:21:11.9675910Z ok (4.828s)
2022-11-23T01:21:11.9676011Z 
2022-11-23T01:21:11.9676249Z ----------------------------------------------------------------------
2022-11-23T01:21:11.9676517Z Ran 15 tests in 66.983s
2022-11-23T01:21:11.9676645Z 
2022-11-23T01:21:11.9676712Z OK
2022-11-23T01:21:11.9676813Z 
2022-11-23T01:21:11.9676898Z Generating XML reports...
2022-11-23T01:21:11.9677346Z Generated XML report: test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20221123012004.xml
2022-11-23T01:21:11.9677605Z 
2022-11-23T01:21:11.9677971Z ##[endgroup]
2022-11-23T01:21:11.9678396Z FINISHED PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_kk4n98fa)
2022-11-23T01:21:11.9678648Z 
2022-11-23T01:21:13.9185711Z Ignoring disabled issues:  []
2022-11-23T01:21:13.9426258Z Running lazy/test_extract_compiled_graph ... [2022-11-23 01:21:13.942048]
2022-11-23T01:21:13.9428028Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_extract_compiled_graph.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:13.942394]
2022-11-23T01:21:15.3354605Z 
2022-11-23T01:21:15.3355262Z Expand the folded group to see the log file of lazy/test_extract_compiled_graph
2022-11-23T01:21:15.3356099Z ##[group]PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_pbtl90t_)
2022-11-23T01:21:15.3356375Z 
2022-11-23T01:21:15.3356598Z ##[endgroup]
2022-11-23T01:21:15.3357170Z FINISHED PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_pbtl90t_)
2022-11-23T01:21:15.3357428Z 
2022-11-23T01:21:17.2723184Z Ignoring disabled issues:  []
2022-11-23T01:21:17.2964084Z Running lazy/test_ts_opinfo ... [2022-11-23 01:21:17.295910]
2022-11-23T01:21:17.2966070Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:17.296246]
2022-11-23T01:21:21.0215221Z 
2022-11-23T01:21:21.0215920Z Expand the folded group to see the log file of lazy/test_ts_opinfo
2022-11-23T01:21:21.0216751Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_kqtya6z2)
2022-11-23T01:21:21.0217078Z 
2022-11-23T01:21:21.0217193Z Running tests...
2022-11-23T01:21:21.0217747Z ----------------------------------------------------------------------
2022-11-23T01:21:21.0218173Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo
2022-11-23T01:21:21.0218504Z   test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... ok (0.157s)
2022-11-23T01:21:21.0219036Z   testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s)
2022-11-23T01:21:21.0219384Z   test_tensor_ctr (__main__.TestLazyTensor) ... ok (0.002s)
2022-11-23T01:21:21.0219681Z   test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.002s)
2022-11-23T01:21:21.0219861Z 
2022-11-23T01:21:21.0220067Z ----------------------------------------------------------------------
2022-11-23T01:21:21.0220324Z Ran 4 tests in 0.163s
2022-11-23T01:21:21.0220448Z 
2022-11-23T01:21:21.0220782Z OK (skipped=1)
2022-11-23T01:21:21.0220896Z 
2022-11-23T01:21:21.0220991Z Generating XML reports...
2022-11-23T01:21:21.0221444Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123012120.xml
2022-11-23T01:21:21.0222041Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123012120.xml
2022-11-23T01:21:21.0222282Z 
2022-11-23T01:21:21.0222699Z ##[endgroup]
2022-11-23T01:21:21.0223110Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_kqtya6z2)
2022-11-23T01:21:21.0223342Z 
2022-11-23T01:21:22.9628608Z Ignoring disabled issues:  []
2022-11-23T01:21:22.9865095Z Running nn/test_lazy_modules ... [2022-11-23 01:21:22.986006]
2022-11-23T01:21:22.9866070Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_lazy_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:22.986339]
2022-11-23T01:21:26.1154489Z 
2022-11-23T01:21:26.1155409Z Expand the folded group to see the log file of nn/test_lazy_modules
2022-11-23T01:21:26.1157238Z ##[group]PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_gzas8iyn)
2022-11-23T01:21:26.1157648Z 
2022-11-23T01:21:26.1157768Z Running tests...
2022-11-23T01:21:26.1158388Z ----------------------------------------------------------------------
2022-11-23T01:21:26.1159040Z Test results will be stored in test-reports/python-unittest/nn.test_lazy_modules
2022-11-23T01:21:26.1160534Z   test_chained_initialization (__main__.TestLazyModules) ... ok (0.069s)
2022-11-23T01:21:26.1160997Z   test_invalid_functions (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1162044Z   test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:21:26.1162891Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:21:26.1163264Z ok (0.013s)
2022-11-23T01:21:26.1163596Z   test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:21:26.1164024Z   test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1164439Z   test_lazy_batchnorm2d (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1164844Z   test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1165269Z   test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1165658Z   test_lazy_batchnorm3d (__main__.TestLazyModules) ... ok (0.006s)
2022-11-23T01:21:26.1166053Z   test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1166480Z   test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1166876Z   test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:21:26.1167248Z   test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1167628Z   test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1168007Z   test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:21:26.1168390Z   test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1168816Z   test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1169221Z   test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:21:26.1169645Z   test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1170087Z   test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1170521Z   test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:21:26.1170981Z   test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1171739Z   test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.016s)
2022-11-23T01:21:26.1172227Z   test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.006s)
2022-11-23T01:21:26.1172821Z   test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1173276Z   test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.106s)
2022-11-23T01:21:26.1173744Z   test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.035s)
2022-11-23T01:21:26.1174196Z   test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1174696Z   test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.011s)
2022-11-23T01:21:26.1175144Z   test_lazy_forward_hook (__main__.TestLazyModules)
2022-11-23T01:21:26.1176193Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:21:26.1177112Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:21:26.1177484Z ok (0.001s)
2022-11-23T01:21:26.1177858Z   test_lazy_instancenorm1d (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:21:26.1178341Z   test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1179099Z   test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1179593Z   test_lazy_instancenorm2d (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1180076Z   test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1180553Z   test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1180998Z   test_lazy_instancenorm3d (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:21:26.1181473Z   test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1181943Z   test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1182406Z   test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1182869Z   test_lazy_module_buffer (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1183330Z   test_lazy_module_jit_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1183786Z   test_lazy_module_jit_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1184248Z   test_lazy_module_parameter (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:21:26.1184689Z   test_lazy_pre_forward_hook (__main__.TestLazyModules)
2022-11-23T01:21:26.1185751Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:21:26.1186648Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:21:26.1187031Z ok (0.001s)
2022-11-23T01:21:26.1187397Z   test_lazy_share_memory_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1187864Z   test_lazy_share_memory_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1188293Z   test_linear (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1188714Z   test_linear_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1189162Z   test_materialize_device (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1189612Z   test_materialize_dtype (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1190054Z   test_optimizer_pass (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:21:26.1190493Z   test_spectral_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1191034Z   test_weight_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:21:26.1191395Z 
2022-11-23T01:21:26.1191733Z ----------------------------------------------------------------------
2022-11-23T01:21:26.1192129Z Ran 54 tests in 0.388s
2022-11-23T01:21:26.1192300Z 
2022-11-23T01:21:26.1192496Z OK
2022-11-23T01:21:26.1192625Z 
2022-11-23T01:21:26.1192753Z Generating XML reports...
2022-11-23T01:21:26.1193394Z Generated XML report: test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123012125.xml
2022-11-23T01:21:26.1193754Z 
2022-11-23T01:21:26.1194134Z ##[endgroup]
2022-11-23T01:21:26.1194767Z FINISHED PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_gzas8iyn)
2022-11-23T01:21:26.1195106Z 
2022-11-23T01:21:28.0430994Z Ignoring disabled issues:  []
2022-11-23T01:21:28.0667384Z Running profiler/test_memory_profiler ... [2022-11-23 01:21:28.065947]
2022-11-23T01:21:28.0668505Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:28.066292]
2022-11-23T01:21:31.3074361Z 
2022-11-23T01:21:31.3075057Z Expand the folded group to see the log file of profiler/test_memory_profiler
2022-11-23T01:21:31.3076235Z ##[group]PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_wce8ckke)
2022-11-23T01:21:31.3076633Z 
2022-11-23T01:21:31.3076745Z Running tests...
2022-11-23T01:21:31.3077348Z ----------------------------------------------------------------------
2022-11-23T01:21:31.3078002Z Test results will be stored in test-reports/python-unittest/profiler.test_memory_profiler
2022-11-23T01:21:31.3078826Z   test_match_schemas (__main__.TestDataFlow) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3079571Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3080303Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3080716Z ok (1.245s)
2022-11-23T01:21:31.3081384Z   test_match_schemas_backward (__main__.TestDataFlow) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3082151Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3082852Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3083269Z ok (0.007s)
2022-11-23T01:21:31.3083941Z   test_match_schemas_tensorlist (__main__.TestDataFlow) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3084675Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3085316Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3085703Z ok (0.003s)
2022-11-23T01:21:31.3086242Z   test_extract_gradients_from_module (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3086769Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3087232Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3087926Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:21:31.3088379Z   warnings.warn(message, UserWarning)
2022-11-23T01:21:31.3088768Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3089462Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3089927Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3090467Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3090902Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3091362Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3091815Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3092259Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3092703Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3092991Z ok (0.057s)
2022-11-23T01:21:31.3093482Z   test_extract_gradients_from_module_and_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3094008Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3094468Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3094747Z ok (0.011s)
2022-11-23T01:21:31.3095219Z   test_extract_gradients_from_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3095730Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3096185Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3096641Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3097079Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3097536Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3097982Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3098428Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3099090Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3099568Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3100008Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3100464Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3100735Z ok (0.049s)
2022-11-23T01:21:31.3101224Z   test_extract_gradients_from_optimizer_set_to_none (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3101753Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3102209Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3102648Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3103089Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3103604Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3104046Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3104485Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3104975Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3105419Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3105852Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3106305Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3106582Z ok (0.058s)
2022-11-23T01:21:31.3107049Z   test_extract_gradients_low_level (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3107549Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3108002Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3108454Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3108891Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3109345Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3109620Z ok (0.015s)
2022-11-23T01:21:31.3110059Z   test_config_check (__main__.TestMemoryProfiler) ... STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3110544Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3111121Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3111569Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3112019Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3112463Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3112906Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:21:31.3113348Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:21:31.3113800Z STAGE:2022-11-23 01:21:30 2258:2258 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:21:31.3114081Z ok (0.006s)
2022-11-23T01:21:31.3114194Z 
2022-11-23T01:21:31.3114401Z ----------------------------------------------------------------------
2022-11-23T01:21:31.3114664Z Ran 9 tests in 1.452s
2022-11-23T01:21:31.3114781Z 
2022-11-23T01:21:31.3114851Z OK
2022-11-23T01:21:31.3114950Z 
2022-11-23T01:21:31.3115045Z Generating XML reports...
2022-11-23T01:21:31.3115484Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123012129.xml
2022-11-23T01:21:31.3116048Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123012129.xml
2022-11-23T01:21:31.3116622Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123012129.xml
2022-11-23T01:21:31.3116886Z 
2022-11-23T01:21:31.3117152Z ##[endgroup]
2022-11-23T01:21:31.3117587Z FINISHED PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_wce8ckke)
2022-11-23T01:21:31.3117842Z 
2022-11-23T01:21:33.2086919Z Ignoring disabled issues:  []
2022-11-23T01:21:33.2321624Z Running test_autocast ... [2022-11-23 01:21:33.231628]
2022-11-23T01:21:33.2322832Z Executing ['/opt/conda/bin/python', '-bb', 'test_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:33.231964]
2022-11-23T01:21:36.8383730Z 
2022-11-23T01:21:36.8384779Z Expand the folded group to see the log file of test_autocast
2022-11-23T01:21:36.8387094Z ##[group]PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_ojvdk767)
2022-11-23T01:21:36.8387427Z 
2022-11-23T01:21:36.8387552Z Running tests...
2022-11-23T01:21:36.8388135Z ----------------------------------------------------------------------
2022-11-23T01:21:36.8388681Z Test results will be stored in test-reports/python-unittest/test_autocast
2022-11-23T01:21:36.8389162Z   test_autocast_methods_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (1.094s)
2022-11-23T01:21:36.8389684Z   test_autocast_nn_bf16 (__main__.TestAutocastCPU) ... ok (0.005s)
2022-11-23T01:21:36.8390115Z   test_autocast_nn_fp32 (__main__.TestAutocastCPU) ... ok (0.007s)
2022-11-23T01:21:36.8390535Z   test_autocast_torch_bf16 (__main__.TestAutocastCPU) ... ok (0.010s)
2022-11-23T01:21:36.8391113Z   test_autocast_torch_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (0.005s)
2022-11-23T01:21:36.8391549Z   test_autocast_torch_fp32 (__main__.TestAutocastCPU) ... ok (0.059s)
2022-11-23T01:21:36.8392008Z   test_autocast_torch_need_autocast_promote (__main__.TestAutocastCPU) ... ok (0.005s)
2022-11-23T01:21:36.8392433Z   test_cast_cache_is_global (__main__.TestAutocastGPU)
2022-11-23T01:21:36.8392858Z Verifies that the autocast cache is global. This is done by ... ok (0.639s)
2022-11-23T01:21:36.8393307Z   test_autocast_fast_dtype (__main__.TestTorchAutocast) ... ok (0.001s)
2022-11-23T01:21:36.8393577Z 
2022-11-23T01:21:36.8393868Z ----------------------------------------------------------------------
2022-11-23T01:21:36.8394247Z Ran 9 tests in 1.825s
2022-11-23T01:21:36.8394414Z 
2022-11-23T01:21:36.8394501Z OK
2022-11-23T01:21:36.8394637Z 
2022-11-23T01:21:36.8394773Z Generating XML reports...
2022-11-23T01:21:36.8395384Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastCPU-20221123012134.xml
2022-11-23T01:21:36.8396123Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastGPU-20221123012134.xml
2022-11-23T01:21:36.8396873Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestTorchAutocast-20221123012134.xml
2022-11-23T01:21:36.8397206Z 
2022-11-23T01:21:36.8397555Z ##[endgroup]
2022-11-23T01:21:36.8398118Z FINISHED PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_ojvdk767)
2022-11-23T01:21:36.8398428Z 
2022-11-23T01:21:38.7485410Z Ignoring disabled issues:  []
2022-11-23T01:21:38.7723285Z Running test_comparison_utils ... [2022-11-23 01:21:38.771918]
2022-11-23T01:21:38.7726089Z Executing ['/opt/conda/bin/python', '-bb', 'test_comparison_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:38.772248]
2022-11-23T01:21:40.3440392Z 
2022-11-23T01:21:40.3440975Z Expand the folded group to see the log file of test_comparison_utils
2022-11-23T01:21:40.3444354Z ##[group]PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_cslq1smm)
2022-11-23T01:21:40.3444707Z 
2022-11-23T01:21:40.3445012Z ##[endgroup]
2022-11-23T01:21:40.3445749Z FINISHED PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_cslq1smm)
2022-11-23T01:21:40.3446115Z 
2022-11-23T01:21:42.2704682Z Ignoring disabled issues:  []
2022-11-23T01:21:42.2939485Z Running test_dataloader ... [2022-11-23 01:21:42.293291]
2022-11-23T01:21:42.2940148Z Executing ['/opt/conda/bin/python', '-bb', 'test_dataloader.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:42.293621]
2022-11-23T01:22:28.7345484Z 
2022-11-23T01:22:28.7346664Z Expand the folded group to see the log file of test_dataloader
2022-11-23T01:22:28.7347371Z ##[group]PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_9mi7_4wp)
2022-11-23T01:22:28.7347763Z 
2022-11-23T01:22:28.7347857Z Running tests...
2022-11-23T01:22:28.7353587Z ----------------------------------------------------------------------
2022-11-23T01:22:28.7354019Z Test results will be stored in test-reports/python-unittest/test_dataloader
2022-11-23T01:22:28.7354433Z   test_shuffler_iterdatapipe (__main__.IntegrationTestDataLoaderDataPipe)
2022-11-23T01:22:28.7354922Z Verify ``IterDataPipe.shuffle`` is controlled by ``DataLoader`` ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:22:28.7355344Z   test_add_dataset (__main__.TestConcatDataset) ... ok (0.237s)
2022-11-23T01:22:28.7355658Z   test_concat_raises_index_error (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:22:28.7355989Z   test_concat_two_non_singletons (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:22:28.7356328Z   test_concat_two_non_singletons_with_empty (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:22:28.7356651Z   test_concat_two_singletons (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:22:28.7356969Z   test_iterable_dataset_err (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:22:28.7357804Z   test_conv_after_fork (__main__.TestConvAfterFork) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75492 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:22:28.7358376Z   test_custom_batch_pin (__main__.TestCustomPinFn) ... ok (0.004s)
2022-11-23T01:22:28.7358677Z   test_custom_batch_pin_worker (__main__.TestCustomPinFn) ... ok (0.151s)
2022-11-23T01:22:28.7380032Z   test_batch_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7380596Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7381226Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7381663Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7382308Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7382773Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7383257Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7383739Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7384345Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7384808Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7385264Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7385632Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7386176Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7386570Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7387008Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7387372Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7387603Z ok (1.956s)
2022-11-23T01:22:28.7388563Z   test_builtin_collection_conversion (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7389230Z   test_bulk_loading_nobatch (__main__.TestDataLoader) ... ok (0.080s)
2022-11-23T01:22:28.7389546Z   test_chain_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.143s)
2022-11-23T01:22:28.7389862Z   test_default_collate_bad_numpy_types (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7390192Z   test_default_collate_bad_sequence_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7390606Z   test_default_collate_dtype (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7391105Z   test_default_collate_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7392258Z   test_default_collate_numpy_memmap (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py:172: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T01:22:28.7393114Z   return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map)
2022-11-23T01:22:28.7393446Z ok (0.002s)
2022-11-23T01:22:28.7393756Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7394237Z   test_default_collate_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7394681Z   test_default_collate_shared_tensor (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7395016Z   test_default_convert_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7395370Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7395859Z   test_default_convert_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7396295Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7396744Z   test_duplicating_data_with_drop_last (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:22:28.7397141Z   test_error (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7397507Z   test_error_in_init (__main__.TestDataLoader) ... ok (0.092s)
2022-11-23T01:22:28.7397877Z   test_error_workers (__main__.TestDataLoader) ... ok (0.080s)
2022-11-23T01:22:28.7398290Z   test_excessive_thread_creation_warning (__main__.TestDataLoader) ... ok (0.005s)
2022-11-23T01:22:28.7398725Z   test_fd_limit_exceeded (__main__.TestDataLoader) ... ok (1.587s)
2022-11-23T01:22:28.7399446Z   test_get_worker_info (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7399979Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7400561Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7400932Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7401169Z ok (3.466s)
2022-11-23T01:22:28.7401403Z   test_growing_dataset (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7401703Z   test_invalid_assign_after_init (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7402014Z   test_invalid_ctor_args_combinations (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:22:28.7402967Z   test_iterable_style_dataset (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:22:28.7403692Z   test_iterabledataset_len (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7404407Z   test_large_sampler_indices (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7404930Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7405510Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7406002Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7406328Z ok (3.111s)
2022-11-23T01:22:28.7406629Z   test_len (__main__.TestDataLoader) ... ok (0.007s)
2022-11-23T01:22:28.7407019Z   test_multi_epochs_reproducibility (__main__.TestDataLoader) ... ok (0.146s)
2022-11-23T01:22:28.7407716Z   test_multiple_dataloaders (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7408120Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7408557Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7408924Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7409369Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7409714Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7410149Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7410509Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7410953Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7411293Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7411745Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7412124Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7412557Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7412884Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7413316Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7413668Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7413904Z ok (3.482s)
2022-11-23T01:22:28.7414642Z   test_multiprocessing_contexts (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7415705Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7416538Z   test_no_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7416926Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7417392Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7417748Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7417986Z ok (1.688s)
2022-11-23T01:22:28.7418211Z   test_numpy (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7418483Z   test_numpy_gen_state (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:22:28.7418771Z   test_numpy_scalars (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7419274Z   test_partial_workers (__main__.TestDataLoader)
2022-11-23T01:22:28.7420082Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7420629Z   test_proper_exit (__main__.TestDataLoader)
2022-11-23T01:22:28.7421499Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:22:28.7422130Z   test_random_sampler (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:22:28.7422478Z   test_random_sampler_len_with_replacement (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7422839Z   test_random_sampler_len_without_replacement (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7423367Z   test_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7423754Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7424192Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7424546Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7424983Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7425328Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7425767Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7426115Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7426557Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7426901Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7427327Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7427680Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7428115Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7428454Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7428877Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7429306Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7429546Z ok (1.917s)
2022-11-23T01:22:28.7429792Z   test_sampler_reproducibility (__main__.TestDataLoader) ... ok (0.015s)
2022-11-23T01:22:28.7430397Z   test_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7430880Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7431345Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7431698Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7431935Z ok (3.224s)
2022-11-23T01:22:28.7432723Z   test_seqential_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7433310Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.131s)
2022-11-23T01:22:28.7433624Z   test_sequential_batch (__main__.TestDataLoader) ... ok (0.040s)
2022-11-23T01:22:28.7433918Z   test_sequential_nonbatch (__main__.TestDataLoader) ... ok (0.022s)
2022-11-23T01:22:28.7434214Z   test_sequential_pin_memory (__main__.TestDataLoader) ... ok (0.005s)
2022-11-23T01:22:28.7434514Z   test_sequential_workers (__main__.TestDataLoader) ... ok (0.239s)
2022-11-23T01:22:28.7434794Z   test_shuffle (__main__.TestDataLoader) ... ok (0.063s)
2022-11-23T01:22:28.7435065Z   test_shuffle_batch (__main__.TestDataLoader) ... ok (0.055s)
2022-11-23T01:22:28.7435351Z   test_shuffle_batch_none (__main__.TestDataLoader) ... ok (0.058s)
2022-11-23T01:22:28.7436136Z   test_shuffle_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:22:28.7436722Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.163s)
2022-11-23T01:22:28.7437030Z   test_shuffle_pin_memory (__main__.TestDataLoader) ... ok (0.122s)
2022-11-23T01:22:28.7437326Z   test_shuffle_reproducibility (__main__.TestDataLoader) ... ok (0.364s)
2022-11-23T01:22:28.7437628Z   test_shuffle_workers (__main__.TestDataLoader) ... ok (0.230s)
2022-11-23T01:22:28.7438129Z   test_timeout (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7438509Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7438949Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7439311Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7439755Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7440094Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7440532Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7440889Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7441121Z ok (5.338s)
2022-11-23T01:22:28.7441350Z   test_typing (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7442158Z   test_worker_init_fn (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7443211Z   test_worker_seed (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7444250Z   test_worker_seed_reproducibility (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7445335Z   test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70756 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:22:28.7446452Z   test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7447567Z   test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7448682Z   test_chain_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80757 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7449315Z   test_dataset_not_reset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.236s)
2022-11-23T01:22:28.7449696Z   test_default_collate_bad_numpy_types (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7450093Z   test_default_collate_bad_sequence_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7450470Z   test_default_collate_dtype (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7450854Z   test_default_collate_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7451245Z   test_default_collate_numpy_memmap (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7451641Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7452038Z   test_default_collate_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7452478Z   test_default_collate_shared_tensor (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7452869Z   test_default_convert_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7453274Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7453714Z   test_default_convert_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7454108Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7454529Z   test_duplicating_data_with_drop_last (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7455399Z   test_early_exit (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74868 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:22:28.7455987Z   test_error (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7456330Z   test_error_in_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.089s)
2022-11-23T01:22:28.7457175Z   test_error_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78017 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7457817Z   test_excessive_thread_creation_warning (__main__.TestDataLoaderPersistentWorkers) ... ok (0.005s)
2022-11-23T01:22:28.7458191Z   test_fd_limit_exceeded (__main__.TestDataLoaderPersistentWorkers) ... ok (1.571s)
2022-11-23T01:22:28.7458783Z   test_get_worker_info (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7459380Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7459835Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7460198Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7460444Z ok (3.442s)
2022-11-23T01:22:28.7460719Z   test_growing_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7461091Z   test_invalid_assign_after_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7461466Z   test_invalid_ctor_args_combinations (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:22:28.7462367Z   test_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:22:28.7463020Z   test_iterabledataset_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7463624Z   test_large_sampler_indices (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7464047Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7464489Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7464853Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7465093Z ok (3.131s)
2022-11-23T01:22:28.7465344Z   test_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.008s)
2022-11-23T01:22:28.7465709Z   test_multi_epochs_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.061s)
2022-11-23T01:22:28.7466644Z   test_multiple_dataloaders (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70947 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7467802Z   test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7468920Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7470034Z   test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70968 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7470637Z   test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7471063Z   test_numpy_gen_state (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s)
2022-11-23T01:22:28.7471425Z   test_numpy_scalars (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:22:28.7471790Z   test_partial_workers (__main__.TestDataLoaderPersistentWorkers)
2022-11-23T01:22:28.7472633Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7473222Z   test_proper_exit (__main__.TestDataLoaderPersistentWorkers)
2022-11-23T01:22:28.7474127Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:22:28.7474783Z   test_random_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:22:28.7475169Z   test_random_sampler_len_with_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7475572Z   test_random_sampler_len_without_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7476168Z   test_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7476587Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7477029Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7477389Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7477831Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7478180Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7478653Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7479016Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7479455Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7479871Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7480300Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7480655Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7481094Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7481426Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7481862Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7482216Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7482455Z ok (1.965s)
2022-11-23T01:22:28.7482735Z   test_sampler_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.014s)
2022-11-23T01:22:28.7483324Z   test_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:22:28.7483740Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:22:28.7484169Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:22:28.7484531Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:22:28.7484773Z ok (3.230s)
2022-11-23T01:22:28.7485556Z   test_seqential_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7486222Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.129s)
2022-11-23T01:22:28.7486598Z   test_sequential_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.040s)
2022-11-23T01:22:28.7486971Z   test_sequential_nonbatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.026s)
2022-11-23T01:22:28.7487345Z   test_sequential_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... ok (0.009s)
2022-11-23T01:22:28.7487707Z   test_sequential_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.195s)
2022-11-23T01:22:28.7488060Z   test_shuffle (__main__.TestDataLoaderPersistentWorkers) ... ok (0.062s)
2022-11-23T01:22:28.7488409Z   test_shuffle_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.055s)
2022-11-23T01:22:28.7488770Z   test_shuffle_batch_none (__main__.TestDataLoaderPersistentWorkers) ... ok (0.058s)
2022-11-23T01:22:28.7489671Z   test_shuffle_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7490469Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.172s)
2022-11-23T01:22:28.7490963Z   test_shuffle_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... ok (0.128s)
2022-11-23T01:22:28.7491514Z   test_shuffle_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.324s)
2022-11-23T01:22:28.7492048Z   test_shuffle_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.252s)
2022-11-23T01:22:28.7493469Z   test_timeout (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68844 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7494395Z   test_typing (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:22:28.7495525Z   test_worker_init_fn (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7497071Z   test_worker_seed (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7498678Z   test_worker_seed_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7499854Z   test_incomplete_fractional_splits (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2022-11-23T01:22:28.7500414Z   test_lengths_must_equal_dataset_size (__main__.TestDatasetRandomSplit) ... ok (0.000s)
2022-11-23T01:22:28.7500966Z   test_slicing_of_subset_of_dataset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:22:28.7501469Z   test_slicing_of_subset_of_subset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:22:28.7501936Z   test_splits_are_mutually_exclusive (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2022-11-23T01:22:28.7502387Z   test_splits_generator (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:22:28.7502833Z   test_splits_have_correct_size (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:22:28.7503261Z   test_splits_indexing_type (__main__.TestDatasetRandomSplit)
2022-11-23T01:22:28.7503634Z Indices generated by random_split ... ok (0.002s)
2022-11-23T01:22:28.7504043Z   test_splits_reproducibility (__main__.TestDatasetRandomSplit) ... ok (0.008s)
2022-11-23T01:22:28.7504443Z   test_pin_memory (__main__.TestDictDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7504742Z   test_pin_memory_device (__main__.TestDictDataLoader) ... ok (0.001s)
2022-11-23T01:22:28.7505675Z   test_pin_memory_with_only_device (__main__.TestDictDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:597: UserWarning: pin memory device is set and pin_memory flag is not used then device pinned memory won't be usedplease set pin_memory to true, if you need to use the device pin memory
2022-11-23T01:22:28.7506277Z   warnings.warn(warn_msg)
2022-11-23T01:22:28.7506479Z ok (0.001s)
2022-11-23T01:22:28.7506717Z   test_sequential_batch (__main__.TestDictDataLoader) ... ok (0.034s)
2022-11-23T01:22:28.7507557Z   test_ind_worker_queue (__main__.TestIndividualWorkerQueue) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68643 for platform(s) macos, linux, win. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:28.7508178Z   test_dataloader_with_namedtuple (__main__.TestNamedTupleDataLoader) ... ok (0.002s)
2022-11-23T01:22:28.7508629Z   test_set_affinity_in_worker_init (__main__.TestSetAffinity) ... ok (0.055s)
2022-11-23T01:22:28.7508941Z   test_shuffle_pin_memory (__main__.TestStringDataLoader) ... ok (0.076s)
2022-11-23T01:22:28.7509243Z   test_getitem (__main__.TestTensorDataset) ... ok (0.005s)
2022-11-23T01:22:28.7509569Z   test_getitem_1d (__main__.TestTensorDataset) ... ok (0.004s)
2022-11-23T01:22:28.7509837Z   test_len (__main__.TestTensorDataset) ... ok (0.001s)
2022-11-23T01:22:28.7510120Z   test_many_tensors (__main__.TestTensorDataset) ... ok (0.004s)
2022-11-23T01:22:28.7510414Z   test_single_tensor (__main__.TestTensorDataset) ... ok (0.001s)
2022-11-23T01:22:28.7510578Z 
2022-11-23T01:22:28.7510874Z ----------------------------------------------------------------------
2022-11-23T01:22:28.7511130Z Ran 164 tests in 44.606s
2022-11-23T01:22:28.7511253Z 
2022-11-23T01:22:28.7511333Z OK (skipped=33)
2022-11-23T01:22:28.7511447Z 
2022-11-23T01:22:28.7511537Z Generating XML reports...
2022-11-23T01:22:28.7511956Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20221123012143.xml
2022-11-23T01:22:28.7512479Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20221123012143.xml
2022-11-23T01:22:28.7512992Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20221123012143.xml
2022-11-23T01:22:28.7513548Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20221123012143.xml
2022-11-23T01:22:28.7514116Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20221123012143.xml
2022-11-23T01:22:28.7514645Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20221123012143.xml
2022-11-23T01:22:28.7515190Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20221123012143.xml
2022-11-23T01:22:28.7515718Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20221123012143.xml
2022-11-23T01:22:28.7516234Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20221123012143.xml
2022-11-23T01:22:28.7516753Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20221123012143.xml
2022-11-23T01:22:28.7517327Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20221123012143.xml
2022-11-23T01:22:28.7517885Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20221123012143.xml
2022-11-23T01:22:28.7518415Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20221123012143.xml
2022-11-23T01:22:28.7518674Z 
2022-11-23T01:22:28.7518997Z ##[endgroup]
2022-11-23T01:22:28.7519398Z FINISHED PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_9mi7_4wp)
2022-11-23T01:22:28.7519623Z 
2022-11-23T01:22:30.6782589Z Ignoring disabled issues:  []
2022-11-23T01:22:30.7021684Z Running test_functional_optim ... [2022-11-23 01:22:30.701362]
2022-11-23T01:22:30.7022730Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:30.701700]
2022-11-23T01:22:33.8099051Z 
2022-11-23T01:22:33.8099781Z Expand the folded group to see the log file of test_functional_optim
2022-11-23T01:22:33.8100511Z ##[group]PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_14e32ohu)
2022-11-23T01:22:33.8100747Z 
2022-11-23T01:22:33.8100831Z Running tests...
2022-11-23T01:22:33.8101307Z ----------------------------------------------------------------------
2022-11-23T01:22:33.8101716Z Test results will be stored in test-reports/python-unittest/test_functional_optim
2022-11-23T01:22:33.8102081Z   test_functional_optim_parity_adam (__main__.TestFunctionalOptimParity) ... ok (1.113s)
2022-11-23T01:22:33.8102736Z   test_functional_optim_parity_adam_w (__main__.TestFunctionalOptimParity) ... ok (0.021s)
2022-11-23T01:22:33.8103123Z   test_functional_optim_parity_sgd (__main__.TestFunctionalOptimParity) ... ok (0.019s)
2022-11-23T01:22:33.8103586Z   test_functional_optim_registration (__main__.TestFunctionalOptimParity) ... ok (0.001s)
2022-11-23T01:22:33.8103788Z 
2022-11-23T01:22:33.8103991Z ----------------------------------------------------------------------
2022-11-23T01:22:33.8104248Z Ran 4 tests in 1.154s
2022-11-23T01:22:33.8104372Z 
2022-11-23T01:22:33.8104448Z OK
2022-11-23T01:22:33.8104541Z 
2022-11-23T01:22:33.8104634Z Generating XML reports...
2022-11-23T01:22:33.8105115Z Generated XML report: test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221123012232.xml
2022-11-23T01:22:33.8105391Z 
2022-11-23T01:22:33.8105628Z ##[endgroup]
2022-11-23T01:22:33.8106037Z FINISHED PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_14e32ohu)
2022-11-23T01:22:33.8106270Z 
2022-11-23T01:22:35.8067221Z Ignoring disabled issues:  []
2022-11-23T01:22:35.8303423Z Running test_fx_experimental ... [2022-11-23 01:22:35.829763]
2022-11-23T01:22:35.8306047Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_experimental.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:35.830157]
2022-11-23T01:22:43.1956425Z 
2022-11-23T01:22:43.1957216Z Expand the folded group to see the log file of test_fx_experimental
2022-11-23T01:22:43.1958359Z ##[group]PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_trm4w2bd)
2022-11-23T01:22:43.1958741Z 
2022-11-23T01:22:43.1958870Z Running tests...
2022-11-23T01:22:43.1959654Z ----------------------------------------------------------------------
2022-11-23T01:22:43.1960244Z Test results will be stored in test-reports/python-unittest/test_fx_experimental
2022-11-23T01:22:43.1960664Z   test_annotate_returns_with_schema (__main__.TestFXExperimental) ... skip: no torchvision (0.001s)
2022-11-23T01:22:43.1961054Z   test_aot_based_partition (__main__.TestFXExperimental) ... ok (0.014s)
2022-11-23T01:22:43.1961984Z   test_call_to_assert_no_msg (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1962527Z   test_call_to_assert_with_empty_msg (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1963004Z   test_call_to_assert_with_msg (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1963358Z   test_call_to_assert_with_multiline_message (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1963720Z   test_conv_bn_fusion (__main__.TestFXExperimental) ... skip: no torchvision (0.000s)
2022-11-23T01:22:43.1964160Z   test_conv_bn_fusion_not_running_state (__main__.TestFXExperimental) ... ok (0.010s)
2022-11-23T01:22:43.1964484Z   test_cost_aware_partition (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:22:43.1964889Z   test_fetch (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1965185Z   test_find_single_partition (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1965505Z   test_lack_of_devices (__main__.TestFXExperimental) ... ok (0.002s)
2022-11-23T01:22:43.1965984Z   test_large_node_error (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1966383Z   test_merge_matmuls (__main__.TestFXExperimental)
2022-11-23T01:22:43.1966839Z A collection of test cases for torch.fx.experimental.merge_matmul, ... ok (0.024s)
2022-11-23T01:22:43.1967379Z   test_meta_tracer (__main__.TestFXExperimental) ... ok (0.015s)
2022-11-23T01:22:43.1968227Z   test_normalize_args (__main__.TestFXExperimental) ... skip: no torchvision (0.001s)
2022-11-23T01:22:43.1969159Z   test_normalize_args_perserve_type (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/operator_schemas.py:207: UserWarning: Does not support nested parametric types, got typing.List[~t]. Please file a bug.
2022-11-23T01:22:43.1969739Z   warnings.warn(
2022-11-23T01:22:43.1970267Z ok (0.004s)
2022-11-23T01:22:43.1970626Z   test_normalize_args_preserve_meta (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:22:43.1971021Z   test_normalize_binary_operators (__main__.TestFXExperimental) ... ok (0.042s)
2022-11-23T01:22:43.1971498Z   test_normalize_modules_exhaustive (__main__.TestFXExperimental)
2022-11-23T01:22:43.1972714Z Exhaustively test `Node.normalized_arguments` on all standard ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:22:43.1973541Z   return F.conv1d(input, weight, bias, self.stride,
2022-11-23T01:22:43.1973859Z ok (1.368s)
2022-11-23T01:22:43.1974235Z   test_optimize_for_inference_cpu (__main__.TestFXExperimental) ... ok (0.245s)
2022-11-23T01:22:43.1974776Z   test_optimize_for_inference_cpu_torchvision (__main__.TestFXExperimental) ... skip: no torchvision (0.001s)
2022-11-23T01:22:43.1975298Z   test_partition_device_mapping (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:22:43.1975775Z   test_partition_latency (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:22:43.1976254Z   test_partition_node_manipulation (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:22:43.1976712Z   test_replace_target_nodes_with (__main__.TestFXExperimental) ... ok (0.002s)
2022-11-23T01:22:43.1977126Z   test_saturate_host (__main__.TestFXExperimental) ... [0, 4]
2022-11-23T01:22:43.1977367Z [1, 2]
2022-11-23T01:22:43.1977535Z ok (0.006s)
2022-11-23T01:22:43.1977781Z   test_size_based_partition (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:22:43.1978096Z   test_sparse_nn_partition (__main__.TestFXExperimental) ... ok (0.115s)
2022-11-23T01:22:43.1978414Z   test_split_module_default_arg (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:22:43.1978739Z   test_split_module_kwargs_expansion (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:22:43.1979427Z   test_split_qualname_mapping (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:22:43.1979785Z   test_subgraph_creation (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:22:43.1980234Z   test_subgraph_trivial_resnet (__main__.TestFXExperimental) ... skip: no torchvision (0.000s)
2022-11-23T01:22:43.1980783Z   test_subgraph_uniquename (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:22:43.1981788Z   test_to_folder (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph_module.py:476: UserWarning: Was not able to save the following children modules as reprs -saved as pickled files instead: ['seq']
2022-11-23T01:22:43.1982572Z   warnings.warn("Was not able to save the following children modules as reprs -"
2022-11-23T01:22:43.1982983Z ok (0.007s)
2022-11-23T01:22:43.2002445Z   test_traceable_function_with_nonstandard_name (__main__.TestFXExperimental) ... ok (0.002s)
2022-11-23T01:22:43.2002967Z   test_type_matches (__main__.TestFXExperimental) ... ok (0.002s)
2022-11-23T01:22:43.2003423Z   test_normalize_args_op_overload_cuda (__main__.TestNormalizeOperatorsCUDA) ... ok (0.002s)
2022-11-23T01:22:43.2003989Z   test_normalize_operator_exhaustive_H_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2004568Z   test_normalize_operator_exhaustive_T_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2005142Z   test_normalize_operator_exhaustive___getitem___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2005700Z   test_normalize_operator_exhaustive___radd___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2006487Z   test_normalize_operator_exhaustive___rdiv___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2007070Z   test_normalize_operator_exhaustive___rmatmul___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2007719Z   test_normalize_operator_exhaustive___rmod___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2008294Z   test_normalize_operator_exhaustive___rmul___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2008865Z   test_normalize_operator_exhaustive___rpow___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2009446Z   test_normalize_operator_exhaustive___rsub___cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2010053Z   test_normalize_operator_exhaustive__softmax_backward_data_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2010665Z   test_normalize_operator_exhaustive_abs_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2011237Z   test_normalize_operator_exhaustive_acos_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2011822Z   test_normalize_operator_exhaustive_acosh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2012404Z   test_normalize_operator_exhaustive_add_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2012945Z   test_normalize_operator_exhaustive_addbmm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2013385Z   test_normalize_operator_exhaustive_addcdiv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2013829Z   test_normalize_operator_exhaustive_addcmul_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2014267Z   test_normalize_operator_exhaustive_addmm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2014715Z   test_normalize_operator_exhaustive_addmm_decomposed_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2015154Z   test_normalize_operator_exhaustive_addmv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2015586Z   test_normalize_operator_exhaustive_addr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2016015Z   test_normalize_operator_exhaustive_all_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2016456Z   test_normalize_operator_exhaustive_allclose_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2016884Z   test_normalize_operator_exhaustive_amax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2017325Z   test_normalize_operator_exhaustive_amin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2017762Z   test_normalize_operator_exhaustive_aminmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2018200Z   test_normalize_operator_exhaustive_angle_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2018619Z   test_normalize_operator_exhaustive_any_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2019308Z   test_normalize_operator_exhaustive_arange_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2019823Z   test_normalize_operator_exhaustive_argmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2020272Z   test_normalize_operator_exhaustive_argmin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2020790Z   test_normalize_operator_exhaustive_argsort_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2021233Z   test_normalize_operator_exhaustive_argwhere_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2021683Z   test_normalize_operator_exhaustive_as_strided_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2022138Z   test_normalize_operator_exhaustive_as_strided_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2022585Z   test_normalize_operator_exhaustive_asin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2023021Z   test_normalize_operator_exhaustive_asinh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2023458Z   test_normalize_operator_exhaustive_atan2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2023894Z   test_normalize_operator_exhaustive_atan_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2024319Z   test_normalize_operator_exhaustive_atanh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2024760Z   test_normalize_operator_exhaustive_atleast_1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2025201Z   test_normalize_operator_exhaustive_atleast_2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2025650Z   test_normalize_operator_exhaustive_atleast_3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2026127Z   test_normalize_operator_exhaustive_baddbmm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2026587Z   test_normalize_operator_exhaustive_bernoulli_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2027029Z   test_normalize_operator_exhaustive_bfloat16_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2027469Z   test_normalize_operator_exhaustive_block_diag_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2027905Z   test_normalize_operator_exhaustive_bmm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2028343Z   test_normalize_operator_exhaustive_bool_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2028791Z   test_normalize_operator_exhaustive_broadcast_shapes_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2029259Z   test_normalize_operator_exhaustive_broadcast_tensors_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2029711Z   test_normalize_operator_exhaustive_broadcast_to_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2030164Z   test_normalize_operator_exhaustive_bucketize_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2030604Z   test_normalize_operator_exhaustive_byte_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2031189Z   test_normalize_operator_exhaustive_cartesian_prod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2031626Z   test_normalize_operator_exhaustive_cat_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2032097Z   test_normalize_operator_exhaustive_cdist_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2032530Z   test_normalize_operator_exhaustive_cdouble_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2032968Z   test_normalize_operator_exhaustive_ceil_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2033397Z   test_normalize_operator_exhaustive_cfloat_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2033834Z   test_normalize_operator_exhaustive_chalf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2034265Z   test_normalize_operator_exhaustive_char_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2034698Z   test_normalize_operator_exhaustive_cholesky_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:22:43.2035146Z   test_normalize_operator_exhaustive_cholesky_inverse_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:22:43.2035599Z   test_normalize_operator_exhaustive_cholesky_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2036038Z   test_normalize_operator_exhaustive_chunk_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2036466Z   test_normalize_operator_exhaustive_clamp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2036948Z   test_normalize_operator_exhaustive_clamp_max_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2037380Z   test_normalize_operator_exhaustive_clamp_min_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2037816Z   test_normalize_operator_exhaustive_clone_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2038261Z   test_normalize_operator_exhaustive_column_stack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2038696Z   test_normalize_operator_exhaustive_combinations_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2039138Z   test_normalize_operator_exhaustive_complex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2039574Z   test_normalize_operator_exhaustive_conj_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2040013Z   test_normalize_operator_exhaustive_conj_physical_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2040457Z   test_normalize_operator_exhaustive_constant_pad_nd_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2040908Z   test_normalize_operator_exhaustive_contiguous_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2041348Z   test_normalize_operator_exhaustive_copysign_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2041788Z   test_normalize_operator_exhaustive_corrcoef_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2042252Z   test_normalize_operator_exhaustive_cos_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2042680Z   test_normalize_operator_exhaustive_cosh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2043146Z   test_normalize_operator_exhaustive_count_nonzero_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2043578Z   test_normalize_operator_exhaustive_cov_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2044001Z   test_normalize_operator_exhaustive_cross_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2044429Z   test_normalize_operator_exhaustive_cummax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2044856Z   test_normalize_operator_exhaustive_cummin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2045303Z   test_normalize_operator_exhaustive_cumprod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2045728Z   test_normalize_operator_exhaustive_cumsum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2046178Z   test_normalize_operator_exhaustive_cumulative_trapezoid_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2046624Z   test_normalize_operator_exhaustive_deg2rad_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2047056Z   test_normalize_operator_exhaustive_diag_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2047483Z   test_normalize_operator_exhaustive_diag_embed_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2047934Z   test_normalize_operator_exhaustive_diagflat_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2048377Z   test_normalize_operator_exhaustive_diagonal_copy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2048822Z   test_normalize_operator_exhaustive_diagonal_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2049261Z   test_normalize_operator_exhaustive_diagonal_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2049704Z   test_normalize_operator_exhaustive_diff_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2050142Z   test_normalize_operator_exhaustive_digamma_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2050576Z   test_normalize_operator_exhaustive_dist_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2051009Z   test_normalize_operator_exhaustive_div_floor_rounding_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2051466Z   test_normalize_operator_exhaustive_div_no_rounding_mode_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2051921Z   test_normalize_operator_exhaustive_div_trunc_rounding_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2052358Z   test_normalize_operator_exhaustive_dot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2052781Z   test_normalize_operator_exhaustive_double_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2053210Z   test_normalize_operator_exhaustive_dsplit_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2053671Z   test_normalize_operator_exhaustive_dstack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2054106Z   test_normalize_operator_exhaustive_einsum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2054557Z   test_normalize_operator_exhaustive_empty_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2054990Z   test_normalize_operator_exhaustive_empty_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2055418Z   test_normalize_operator_exhaustive_eq_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2055840Z   test_normalize_operator_exhaustive_equal_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2056314Z   test_normalize_operator_exhaustive_erf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2056741Z   test_normalize_operator_exhaustive_erfc_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2057171Z   test_normalize_operator_exhaustive_erfinv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2057600Z   test_normalize_operator_exhaustive_exp2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2058016Z   test_normalize_operator_exhaustive_exp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2058446Z   test_normalize_operator_exhaustive_expand_as_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2059269Z   test_normalize_operator_exhaustive_expand_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2059718Z   test_normalize_operator_exhaustive_expm1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2060141Z   test_normalize_operator_exhaustive_eye_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2060572Z   test_normalize_operator_exhaustive_fft_fft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2061004Z   test_normalize_operator_exhaustive_fft_fft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2061437Z   test_normalize_operator_exhaustive_fft_fftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2061864Z   test_normalize_operator_exhaustive_fft_fftshift_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2062309Z   test_normalize_operator_exhaustive_fft_hfft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2062740Z   test_normalize_operator_exhaustive_fft_hfft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2063174Z   test_normalize_operator_exhaustive_fft_hfftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2063594Z   test_normalize_operator_exhaustive_fft_ifft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2064021Z   test_normalize_operator_exhaustive_fft_ifft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2064447Z   test_normalize_operator_exhaustive_fft_ifftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2064979Z   test_normalize_operator_exhaustive_fft_ifftshift_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2065416Z   test_normalize_operator_exhaustive_fft_ihfft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2065894Z   test_normalize_operator_exhaustive_fft_ihfft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2066325Z   test_normalize_operator_exhaustive_fft_ihfftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2066757Z   test_normalize_operator_exhaustive_fft_irfft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2067185Z   test_normalize_operator_exhaustive_fft_irfft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2067618Z   test_normalize_operator_exhaustive_fft_irfftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2068050Z   test_normalize_operator_exhaustive_fft_rfft2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2068485Z   test_normalize_operator_exhaustive_fft_rfft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2068917Z   test_normalize_operator_exhaustive_fft_rfftn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2069337Z   test_normalize_operator_exhaustive_fill_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2069767Z   test_normalize_operator_exhaustive_flatten_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2070202Z   test_normalize_operator_exhaustive_flip_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2070635Z   test_normalize_operator_exhaustive_fliplr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2071170Z   test_normalize_operator_exhaustive_flipud_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2071604Z   test_normalize_operator_exhaustive_float_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2072043Z   test_normalize_operator_exhaustive_float_power_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2072480Z   test_normalize_operator_exhaustive_floor_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2072907Z   test_normalize_operator_exhaustive_floor_divide_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2073345Z   test_normalize_operator_exhaustive_fmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2073774Z   test_normalize_operator_exhaustive_fmin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2074204Z   test_normalize_operator_exhaustive_fmod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2074621Z   test_normalize_operator_exhaustive_frac_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2075042Z   test_normalize_operator_exhaustive_frexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2075469Z   test_normalize_operator_exhaustive_full_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2075974Z   test_normalize_operator_exhaustive_full_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2076403Z   test_normalize_operator_exhaustive_gather_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2076832Z   test_normalize_operator_exhaustive_ge_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2077310Z   test_normalize_operator_exhaustive_geqrf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2077750Z   test_normalize_operator_exhaustive_gradient_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2078186Z   test_normalize_operator_exhaustive_grid_sampler_2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2078623Z   test_normalize_operator_exhaustive_gt_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2079056Z   test_normalize_operator_exhaustive_half_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2079485Z   test_normalize_operator_exhaustive_heaviside_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2079913Z   test_normalize_operator_exhaustive_histc_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2080344Z   test_normalize_operator_exhaustive_hsplit_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2080775Z   test_normalize_operator_exhaustive_hstack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2081205Z   test_normalize_operator_exhaustive_hypot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2081625Z   test_normalize_operator_exhaustive_i0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2082052Z   test_normalize_operator_exhaustive_igamma_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2082494Z   test_normalize_operator_exhaustive_igammac_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2082935Z   test_normalize_operator_exhaustive_index_add_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2083366Z   test_normalize_operator_exhaustive_index_copy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2083803Z   test_normalize_operator_exhaustive_index_fill_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2084238Z   test_normalize_operator_exhaustive_index_put_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2084684Z   test_normalize_operator_exhaustive_index_reduce_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2085121Z   test_normalize_operator_exhaustive_index_select_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2085562Z   test_normalize_operator_exhaustive_inner_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2085990Z   test_normalize_operator_exhaustive_int_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2086422Z   test_normalize_operator_exhaustive_isclose_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2086850Z   test_normalize_operator_exhaustive_isfinite_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2087312Z   test_normalize_operator_exhaustive_isin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2087740Z   test_normalize_operator_exhaustive_isinf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2088201Z   test_normalize_operator_exhaustive_isnan_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2088626Z   test_normalize_operator_exhaustive_isneginf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2089061Z   test_normalize_operator_exhaustive_isposinf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2089496Z   test_normalize_operator_exhaustive_isreal_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2089947Z   test_normalize_operator_exhaustive_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2090415Z   test_normalize_operator_exhaustive_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2090883Z   test_normalize_operator_exhaustive_jiterator_binary_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2091343Z   test_normalize_operator_exhaustive_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2091802Z   test_normalize_operator_exhaustive_jiterator_unary_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2092231Z   test_normalize_operator_exhaustive_kron_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2092670Z   test_normalize_operator_exhaustive_kthvalue_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2093102Z   test_normalize_operator_exhaustive_ldexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2093538Z   test_normalize_operator_exhaustive_le_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2093956Z   test_normalize_operator_exhaustive_lerp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2094388Z   test_normalize_operator_exhaustive_lgamma_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2094832Z   test_normalize_operator_exhaustive_linalg_cholesky_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2095286Z   test_normalize_operator_exhaustive_linalg_cholesky_ex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2095727Z   test_normalize_operator_exhaustive_linalg_cond_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2096171Z   test_normalize_operator_exhaustive_linalg_cross_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2096613Z   test_normalize_operator_exhaustive_linalg_det_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2097060Z   test_normalize_operator_exhaustive_linalg_det_singular_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2097500Z   test_normalize_operator_exhaustive_linalg_eig_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2097937Z   test_normalize_operator_exhaustive_linalg_eigh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2098410Z   test_normalize_operator_exhaustive_linalg_eigvals_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2099183Z   test_normalize_operator_exhaustive_linalg_eigvalsh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2099747Z   test_normalize_operator_exhaustive_linalg_householder_product_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2100203Z   test_normalize_operator_exhaustive_linalg_inv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2100648Z   test_normalize_operator_exhaustive_linalg_inv_ex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2101094Z   test_normalize_operator_exhaustive_linalg_ldl_factor_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2101542Z   test_normalize_operator_exhaustive_linalg_ldl_factor_ex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2101994Z   test_normalize_operator_exhaustive_linalg_ldl_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2102443Z   test_normalize_operator_exhaustive_linalg_lstsq_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2102899Z   test_normalize_operator_exhaustive_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2103353Z   test_normalize_operator_exhaustive_linalg_lu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2103789Z   test_normalize_operator_exhaustive_linalg_lu_factor_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2104245Z   test_normalize_operator_exhaustive_linalg_lu_factor_ex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2104696Z   test_normalize_operator_exhaustive_linalg_lu_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2105149Z   test_normalize_operator_exhaustive_linalg_matrix_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2105593Z   test_normalize_operator_exhaustive_linalg_matrix_power_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2106042Z   test_normalize_operator_exhaustive_linalg_matrix_rank_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2106503Z   test_normalize_operator_exhaustive_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2106968Z   test_normalize_operator_exhaustive_linalg_multi_dot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2107409Z   test_normalize_operator_exhaustive_linalg_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2107874Z   test_normalize_operator_exhaustive_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2108337Z   test_normalize_operator_exhaustive_linalg_pinv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2108789Z   test_normalize_operator_exhaustive_linalg_pinv_hermitian_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2109340Z   test_normalize_operator_exhaustive_linalg_pinv_singular_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T01:22:43.2109836Z   test_normalize_operator_exhaustive_linalg_qr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2110325Z   test_normalize_operator_exhaustive_linalg_slogdet_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2110860Z   test_normalize_operator_exhaustive_linalg_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2111305Z   test_normalize_operator_exhaustive_linalg_solve_ex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2111763Z   test_normalize_operator_exhaustive_linalg_solve_triangular_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2112216Z   test_normalize_operator_exhaustive_linalg_svd_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2112658Z   test_normalize_operator_exhaustive_linalg_svdvals_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2113107Z   test_normalize_operator_exhaustive_linalg_tensorinv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2113560Z   test_normalize_operator_exhaustive_linalg_tensorsolve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2114013Z   test_normalize_operator_exhaustive_linalg_vander_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2114456Z   test_normalize_operator_exhaustive_linalg_vecdot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2114899Z   test_normalize_operator_exhaustive_linalg_vector_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2115348Z   test_normalize_operator_exhaustive_linspace_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2115789Z   test_normalize_operator_exhaustive_log10_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2116222Z   test_normalize_operator_exhaustive_log1p_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2116655Z   test_normalize_operator_exhaustive_log2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2117078Z   test_normalize_operator_exhaustive_log_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2117512Z   test_normalize_operator_exhaustive_log_softmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2117967Z   test_normalize_operator_exhaustive_log_softmax_with_dtype_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2118423Z   test_normalize_operator_exhaustive_logaddexp2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2118864Z   test_normalize_operator_exhaustive_logaddexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2119309Z   test_normalize_operator_exhaustive_logcumsumexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2119750Z   test_normalize_operator_exhaustive_logdet_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2120189Z   test_normalize_operator_exhaustive_logical_and_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2120657Z   test_normalize_operator_exhaustive_logical_not_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2121102Z   test_normalize_operator_exhaustive_logical_or_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2121582Z   test_normalize_operator_exhaustive_logical_xor_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2122015Z   test_normalize_operator_exhaustive_logit_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2122448Z   test_normalize_operator_exhaustive_logspace_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2122888Z   test_normalize_operator_exhaustive_logsumexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2123322Z   test_normalize_operator_exhaustive_long_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2123749Z   test_normalize_operator_exhaustive_lt_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2124170Z   test_normalize_operator_exhaustive_lu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2124596Z   test_normalize_operator_exhaustive_lu_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2125029Z   test_normalize_operator_exhaustive_lu_unpack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2125457Z   test_normalize_operator_exhaustive_mH_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2125876Z   test_normalize_operator_exhaustive_mT_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2126356Z   test_normalize_operator_exhaustive_masked_amax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2126795Z   test_normalize_operator_exhaustive_masked_amin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2127523Z   test_normalize_operator_exhaustive_masked_argmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2127957Z   test_normalize_operator_exhaustive_masked_argmin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2128400Z   test_normalize_operator_exhaustive_masked_cumprod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2128849Z   test_normalize_operator_exhaustive_masked_cumsum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2129298Z   test_normalize_operator_exhaustive_masked_fill_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2129736Z   test_normalize_operator_exhaustive_masked_log_softmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2130198Z   test_normalize_operator_exhaustive_masked_logaddexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2130653Z   test_normalize_operator_exhaustive_masked_logsumexp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2131099Z   test_normalize_operator_exhaustive_masked_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2131535Z   test_normalize_operator_exhaustive_masked_median_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2132014Z   test_normalize_operator_exhaustive_masked_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2132463Z   test_normalize_operator_exhaustive_masked_normalize_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2132943Z   test_normalize_operator_exhaustive_masked_prod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2133381Z   test_normalize_operator_exhaustive_masked_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2133831Z   test_normalize_operator_exhaustive_masked_select_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2134277Z   test_normalize_operator_exhaustive_masked_softmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2134723Z   test_normalize_operator_exhaustive_masked_softmin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2135153Z   test_normalize_operator_exhaustive_masked_std_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2135595Z   test_normalize_operator_exhaustive_masked_sum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2136029Z   test_normalize_operator_exhaustive_masked_var_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2136466Z   test_normalize_operator_exhaustive_matmul_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2136893Z   test_normalize_operator_exhaustive_matrix_exp_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2137337Z   test_normalize_operator_exhaustive_max_binary_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2137799Z   test_normalize_operator_exhaustive_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2138274Z   test_normalize_operator_exhaustive_max_reduction_no_dim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2138733Z   test_normalize_operator_exhaustive_max_reduction_with_dim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2139387Z   test_normalize_operator_exhaustive_maximum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2139829Z   test_normalize_operator_exhaustive_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2140268Z   test_normalize_operator_exhaustive_median_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2140720Z   test_normalize_operator_exhaustive_meshgrid_list_of_tensors_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2141184Z   test_normalize_operator_exhaustive_meshgrid_variadic_tensors_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2141637Z   test_normalize_operator_exhaustive_min_binary_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2142086Z   test_normalize_operator_exhaustive_min_reduction_no_dim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2142544Z   test_normalize_operator_exhaustive_min_reduction_with_dim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2143042Z   test_normalize_operator_exhaustive_minimum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2143476Z   test_normalize_operator_exhaustive_mm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2143906Z   test_normalize_operator_exhaustive_mode_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2144376Z   test_normalize_operator_exhaustive_movedim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2144802Z   test_normalize_operator_exhaustive_msort_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2145230Z   test_normalize_operator_exhaustive_mul_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2145668Z   test_normalize_operator_exhaustive_multinomial_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2146103Z   test_normalize_operator_exhaustive_mv_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2146541Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2146996Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2147444Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2147891Z   test_normalize_operator_exhaustive_nan_to_num_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2148321Z   test_normalize_operator_exhaustive_nanmean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2148764Z   test_normalize_operator_exhaustive_nanmedian_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2149205Z   test_normalize_operator_exhaustive_nanquantile_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2149647Z   test_normalize_operator_exhaustive_nansum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2150079Z   test_normalize_operator_exhaustive_narrow_copy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2150514Z   test_normalize_operator_exhaustive_narrow_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2151025Z   test_normalize_operator_exhaustive_native_batch_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2151487Z   test_normalize_operator_exhaustive_native_dropout_backward_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2151935Z   test_normalize_operator_exhaustive_native_layer_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2152374Z   test_normalize_operator_exhaustive_ne_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2152805Z   test_normalize_operator_exhaustive_neg_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2153237Z   test_normalize_operator_exhaustive_new_empty_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2153675Z   test_normalize_operator_exhaustive_new_empty_strided_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2154149Z   test_normalize_operator_exhaustive_new_full_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2154588Z   test_normalize_operator_exhaustive_new_ones_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2155070Z   test_normalize_operator_exhaustive_new_zeros_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2155501Z   test_normalize_operator_exhaustive_nextafter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2155963Z   test_normalize_operator_exhaustive_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2156458Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2156993Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2157470Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2157952Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2158431Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2158907Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2159381Z   test_normalize_operator_exhaustive_nn_functional_alpha_dropout_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2159846Z   test_normalize_operator_exhaustive_nn_functional_avg_pool1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2160311Z   test_normalize_operator_exhaustive_nn_functional_avg_pool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2160781Z   test_normalize_operator_exhaustive_nn_functional_avg_pool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2161241Z   test_normalize_operator_exhaustive_nn_functional_batch_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2161708Z   test_normalize_operator_exhaustive_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2162188Z   test_normalize_operator_exhaustive_nn_functional_bilinear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2162659Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2163151Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2163620Z   test_normalize_operator_exhaustive_nn_functional_celu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2164079Z   test_normalize_operator_exhaustive_nn_functional_conv1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2164529Z   test_normalize_operator_exhaustive_nn_functional_conv2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2165037Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2165518Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2166011Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2166493Z   test_normalize_operator_exhaustive_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2166972Z   test_normalize_operator_exhaustive_nn_functional_cosine_similarity_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2167446Z   test_normalize_operator_exhaustive_nn_functional_cross_entropy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2167908Z   test_normalize_operator_exhaustive_nn_functional_ctc_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2168369Z   test_normalize_operator_exhaustive_nn_functional_dropout2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2168839Z   test_normalize_operator_exhaustive_nn_functional_dropout3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2169298Z   test_normalize_operator_exhaustive_nn_functional_dropout_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2169747Z   test_normalize_operator_exhaustive_nn_functional_elu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2170210Z   test_normalize_operator_exhaustive_nn_functional_embedding_bag_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2170680Z   test_normalize_operator_exhaustive_nn_functional_embedding_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2171173Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2171685Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2172174Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2172650Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2173130Z   test_normalize_operator_exhaustive_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2173594Z   test_normalize_operator_exhaustive_nn_functional_gelu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2174046Z   test_normalize_operator_exhaustive_nn_functional_glu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2174505Z   test_normalize_operator_exhaustive_nn_functional_grid_sample_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2174970Z   test_normalize_operator_exhaustive_nn_functional_group_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2175435Z   test_normalize_operator_exhaustive_nn_functional_hardshrink_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2175928Z   test_normalize_operator_exhaustive_nn_functional_hardsigmoid_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2176396Z   test_normalize_operator_exhaustive_nn_functional_hardswish_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2176889Z   test_normalize_operator_exhaustive_nn_functional_hardtanh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2177362Z   test_normalize_operator_exhaustive_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2177827Z   test_normalize_operator_exhaustive_nn_functional_huber_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2178300Z   test_normalize_operator_exhaustive_nn_functional_instance_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2178775Z   test_normalize_operator_exhaustive_nn_functional_interpolate_area_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2179457Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2179953Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2180431Z   test_normalize_operator_exhaustive_nn_functional_interpolate_linear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2180912Z   test_normalize_operator_exhaustive_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2181399Z   test_normalize_operator_exhaustive_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2181874Z   test_normalize_operator_exhaustive_nn_functional_kl_div_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2182325Z   test_normalize_operator_exhaustive_nn_functional_l1_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2182786Z   test_normalize_operator_exhaustive_nn_functional_layer_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2183248Z   test_normalize_operator_exhaustive_nn_functional_leaky_relu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2183710Z   test_normalize_operator_exhaustive_nn_functional_linear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2184176Z   test_normalize_operator_exhaustive_nn_functional_local_response_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2184650Z   test_normalize_operator_exhaustive_nn_functional_logsigmoid_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2185120Z   test_normalize_operator_exhaustive_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2185588Z   test_normalize_operator_exhaustive_nn_functional_max_pool1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2186043Z   test_normalize_operator_exhaustive_nn_functional_max_pool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2186564Z   test_normalize_operator_exhaustive_nn_functional_max_pool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2187034Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2187544Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2188025Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2188494Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2188963Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2189438Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2189906Z   test_normalize_operator_exhaustive_nn_functional_mish_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2190360Z   test_normalize_operator_exhaustive_nn_functional_mse_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2190935Z   test_normalize_operator_exhaustive_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2191420Z   test_normalize_operator_exhaustive_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2191912Z   test_normalize_operator_exhaustive_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2192389Z   test_normalize_operator_exhaustive_nn_functional_nll_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2192860Z   test_normalize_operator_exhaustive_nn_functional_normalize_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2193325Z   test_normalize_operator_exhaustive_nn_functional_pad_circular_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2193797Z   test_normalize_operator_exhaustive_nn_functional_pad_constant_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2194264Z   test_normalize_operator_exhaustive_nn_functional_pad_reflect_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2194734Z   test_normalize_operator_exhaustive_nn_functional_pad_replicate_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2195210Z   test_normalize_operator_exhaustive_nn_functional_pairwise_distance_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2195683Z   test_normalize_operator_exhaustive_nn_functional_pdist_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2196146Z   test_normalize_operator_exhaustive_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2196610Z   test_normalize_operator_exhaustive_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2197082Z   test_normalize_operator_exhaustive_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2197623Z   test_normalize_operator_exhaustive_nn_functional_prelu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2198074Z   test_normalize_operator_exhaustive_nn_functional_relu6_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2198557Z   test_normalize_operator_exhaustive_nn_functional_relu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2199009Z   test_normalize_operator_exhaustive_nn_functional_rrelu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2199465Z   test_normalize_operator_exhaustive_nn_functional_selu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2199915Z   test_normalize_operator_exhaustive_nn_functional_silu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2200372Z   test_normalize_operator_exhaustive_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2200847Z   test_normalize_operator_exhaustive_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2201319Z   test_normalize_operator_exhaustive_nn_functional_softmin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2201791Z   test_normalize_operator_exhaustive_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2202261Z   test_normalize_operator_exhaustive_nn_functional_softplus_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2202720Z   test_normalize_operator_exhaustive_nn_functional_softshrink_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2203186Z   test_normalize_operator_exhaustive_nn_functional_softsign_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2203655Z   test_normalize_operator_exhaustive_nn_functional_tanhshrink_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2204119Z   test_normalize_operator_exhaustive_nn_functional_threshold_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2204591Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2205088Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2205577Z   test_normalize_operator_exhaustive_nn_functional_unfold_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2206051Z   test_normalize_operator_exhaustive_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2206529Z   test_normalize_operator_exhaustive_nn_functional_upsample_nearest_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2206984Z   test_normalize_operator_exhaustive_nonzero_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2207416Z   test_normalize_operator_exhaustive_norm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2207849Z   test_normalize_operator_exhaustive_norm_fro_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2208306Z   test_normalize_operator_exhaustive_norm_inf_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2208746Z   test_normalize_operator_exhaustive_norm_nuc_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2209209Z   test_normalize_operator_exhaustive_normal_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2209656Z   test_normalize_operator_exhaustive_normal_number_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2210090Z   test_normalize_operator_exhaustive_ones_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2210523Z   test_normalize_operator_exhaustive_ones_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2210960Z   test_normalize_operator_exhaustive_ormqr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2211387Z   test_normalize_operator_exhaustive_outer_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2211824Z   test_normalize_operator_exhaustive_pca_lowrank_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2212264Z   test_normalize_operator_exhaustive_permute_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2212701Z   test_normalize_operator_exhaustive_pinverse_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2213132Z   test_normalize_operator_exhaustive_polar_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2213574Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2214037Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2214493Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_2_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2214952Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_3_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2215394Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_4_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2215836Z   test_normalize_operator_exhaustive_positive_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2216318Z   test_normalize_operator_exhaustive_pow_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2216751Z   test_normalize_operator_exhaustive_prod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2217170Z   test_normalize_operator_exhaustive_put_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2217598Z   test_normalize_operator_exhaustive_qr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2218028Z   test_normalize_operator_exhaustive_quantile_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2218469Z   test_normalize_operator_exhaustive_rad2deg_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2219173Z   test_normalize_operator_exhaustive_rand_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2219685Z   test_normalize_operator_exhaustive_randint_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2220130Z   test_normalize_operator_exhaustive_randint_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2220599Z   test_normalize_operator_exhaustive_randn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2221028Z   test_normalize_operator_exhaustive_randn_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2221464Z   test_normalize_operator_exhaustive_ravel_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2221891Z   test_normalize_operator_exhaustive_real_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2222328Z   test_normalize_operator_exhaustive_reciprocal_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2222764Z   test_normalize_operator_exhaustive_remainder_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2223203Z   test_normalize_operator_exhaustive_renorm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2223640Z   test_normalize_operator_exhaustive_repeat_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2224087Z   test_normalize_operator_exhaustive_repeat_interleave_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2224532Z   test_normalize_operator_exhaustive_reshape_as_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2224965Z   test_normalize_operator_exhaustive_reshape_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2225402Z   test_normalize_operator_exhaustive_resize__cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2225838Z   test_normalize_operator_exhaustive_resize_as__cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2226283Z   test_normalize_operator_exhaustive_resolve_conj_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2226725Z   test_normalize_operator_exhaustive_resolve_neg_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2227162Z   test_normalize_operator_exhaustive_roll_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2227590Z   test_normalize_operator_exhaustive_rot90_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2228023Z   test_normalize_operator_exhaustive_round_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2228457Z   test_normalize_operator_exhaustive_round_decimals_0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2228914Z   test_normalize_operator_exhaustive_round_decimals_3_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2229363Z   test_normalize_operator_exhaustive_round_decimals_neg_3_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2229801Z   test_normalize_operator_exhaustive_rsqrt_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2230221Z   test_normalize_operator_exhaustive_rsub_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2230689Z   test_normalize_operator_exhaustive_scalar_tensor_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2231219Z   test_normalize_operator_exhaustive_scatter_add_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2231718Z   test_normalize_operator_exhaustive_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2232159Z   test_normalize_operator_exhaustive_scatter_reduce_amax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2232616Z   test_normalize_operator_exhaustive_scatter_reduce_amin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2233069Z   test_normalize_operator_exhaustive_scatter_reduce_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2233523Z   test_normalize_operator_exhaustive_scatter_reduce_prod_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:22:43.2233973Z   test_normalize_operator_exhaustive_scatter_reduce_sum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2234428Z   test_normalize_operator_exhaustive_searchsorted_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2234891Z   test_normalize_operator_exhaustive_segment_reduce_lengths_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2235360Z   test_normalize_operator_exhaustive_segment_reduce_offsets_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2235803Z   test_normalize_operator_exhaustive_select_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2236248Z   test_normalize_operator_exhaustive_select_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2236687Z   test_normalize_operator_exhaustive_sgn_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2237121Z   test_normalize_operator_exhaustive_short_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2237551Z   test_normalize_operator_exhaustive_sigmoid_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2237982Z   test_normalize_operator_exhaustive_sign_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2238429Z   test_normalize_operator_exhaustive_signal_windows_cosine_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2238895Z   test_normalize_operator_exhaustive_signal_windows_exponential_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2239361Z   test_normalize_operator_exhaustive_signal_windows_gaussian_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2239820Z   test_normalize_operator_exhaustive_signal_windows_kaiser_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2240267Z   test_normalize_operator_exhaustive_signbit_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2240694Z   test_normalize_operator_exhaustive_sin_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2241116Z   test_normalize_operator_exhaustive_sinc_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2241544Z   test_normalize_operator_exhaustive_sinh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2242004Z   test_normalize_operator_exhaustive_slice_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2242446Z   test_normalize_operator_exhaustive_slice_scatter_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2242911Z   test_normalize_operator_exhaustive_softmax_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2243356Z   test_normalize_operator_exhaustive_softmax_with_dtype_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2243796Z   test_normalize_operator_exhaustive_sort_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2244247Z   test_normalize_operator_exhaustive_sparse_sampled_addmm_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2244698Z   test_normalize_operator_exhaustive_special_airy_ai_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2245153Z   test_normalize_operator_exhaustive_special_bessel_j0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2245612Z   test_normalize_operator_exhaustive_special_bessel_j1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2246064Z   test_normalize_operator_exhaustive_special_bessel_y0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2246532Z   test_normalize_operator_exhaustive_special_bessel_y1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2247014Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2247503Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2248307Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2249000Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2249495Z   test_normalize_operator_exhaustive_special_entr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2249944Z   test_normalize_operator_exhaustive_special_erfcx_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2250414Z   test_normalize_operator_exhaustive_special_hermite_polynomial_h_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2250893Z   test_normalize_operator_exhaustive_special_hermite_polynomial_he_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2251348Z   test_normalize_operator_exhaustive_special_i0e_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2251793Z   test_normalize_operator_exhaustive_special_i1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2252233Z   test_normalize_operator_exhaustive_special_i1e_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2252695Z   test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2253362Z   test_normalize_operator_exhaustive_special_legendre_polynomial_p_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2253873Z   test_normalize_operator_exhaustive_special_log_ndtr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2254367Z   test_normalize_operator_exhaustive_special_modified_bessel_i0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2254837Z   test_normalize_operator_exhaustive_special_modified_bessel_i1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2255305Z   test_normalize_operator_exhaustive_special_modified_bessel_k0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2255765Z   test_normalize_operator_exhaustive_special_modified_bessel_k1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2256225Z   test_normalize_operator_exhaustive_special_ndtr_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2256675Z   test_normalize_operator_exhaustive_special_ndtri_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2257160Z   test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2257648Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2258131Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2258924Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2259632Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2260335Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2261021Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2022-11-23T01:22:43.2261547Z   test_normalize_operator_exhaustive_special_spherical_bessel_j0_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2262018Z   test_normalize_operator_exhaustive_special_xlog1py_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2262471Z   test_normalize_operator_exhaustive_special_zeta_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2262910Z   test_normalize_operator_exhaustive_split_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2263357Z   test_normalize_operator_exhaustive_split_list_args_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2263811Z   test_normalize_operator_exhaustive_split_with_sizes_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2264256Z   test_normalize_operator_exhaustive_sqrt_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2264730Z   test_normalize_operator_exhaustive_square_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2265176Z   test_normalize_operator_exhaustive_squeeze_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2265643Z   test_normalize_operator_exhaustive_stack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:22:43.2266076Z   test_normalize_operator_exhaustive_std_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2266507Z   test_normalize_operator_exhaustive_std_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2266941Z   test_normalize_operator_exhaustive_stft_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2267375Z   test_normalize_operator_exhaustive_sub_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2267802Z   test_normalize_operator_exhaustive_sum_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2268227Z   test_normalize_operator_exhaustive_sum_to_size_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2268669Z   test_normalize_operator_exhaustive_svd_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2269106Z   test_normalize_operator_exhaustive_svd_lowrank_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2269549Z   test_normalize_operator_exhaustive_symeig_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2269971Z   test_normalize_operator_exhaustive_t_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2270411Z   test_normalize_operator_exhaustive_take_along_dim_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2270935Z   test_normalize_operator_exhaustive_take_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2271400Z   test_normalize_operator_exhaustive_tan_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2271818Z   test_normalize_operator_exhaustive_tanh_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2272259Z   test_normalize_operator_exhaustive_tensor_split_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2272710Z   test_normalize_operator_exhaustive_tensordot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2273152Z   test_normalize_operator_exhaustive_tile_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2273569Z   test_normalize_operator_exhaustive_to_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:22:43.2274003Z   test_normalize_operator_exhaustive_to_sparse_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2274440Z   test_normalize_operator_exhaustive_topk_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2274874Z   test_normalize_operator_exhaustive_trace_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2275302Z   test_normalize_operator_exhaustive_transpose_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2275735Z   test_normalize_operator_exhaustive_trapezoid_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2276205Z   test_normalize_operator_exhaustive_trapz_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2276654Z   test_normalize_operator_exhaustive_triangular_solve_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:22:43.2277118Z   test_normalize_operator_exhaustive_tril_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2277547Z   test_normalize_operator_exhaustive_triu_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2277979Z   test_normalize_operator_exhaustive_true_divide_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2278418Z   test_normalize_operator_exhaustive_trunc_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2278848Z   test_normalize_operator_exhaustive_unbind_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2279284Z   test_normalize_operator_exhaustive_unflatten_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2279730Z   test_normalize_operator_exhaustive_unfold_copy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2280166Z   test_normalize_operator_exhaustive_unfold_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2280591Z   test_normalize_operator_exhaustive_uniform_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2281042Z   test_normalize_operator_exhaustive_unique_consecutive_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2281494Z   test_normalize_operator_exhaustive_unique_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2281928Z   test_normalize_operator_exhaustive_unsqueeze_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2282358Z   test_normalize_operator_exhaustive_var_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2282793Z   test_normalize_operator_exhaustive_var_mean_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2283230Z   test_normalize_operator_exhaustive_vdot_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2283673Z   test_normalize_operator_exhaustive_view_as_complex_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2284108Z   test_normalize_operator_exhaustive_view_as_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2284546Z   test_normalize_operator_exhaustive_view_copy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2284980Z   test_normalize_operator_exhaustive_view_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2285420Z   test_normalize_operator_exhaustive_vsplit_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2285856Z   test_normalize_operator_exhaustive_vstack_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2286293Z   test_normalize_operator_exhaustive_where_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2286748Z   test_normalize_operator_exhaustive_xlogy_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2287219Z   test_normalize_operator_exhaustive_zero__cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2287647Z   test_normalize_operator_exhaustive_zeros_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2288135Z   test_normalize_operator_exhaustive_zeros_like_cuda_float32 (__main__.TestNormalizeOperatorsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T01:22:43.2288536Z   test_normalize_quantized_eb_cuda (__main__.TestNormalizeOperatorsCUDA) ... ok (0.002s)
2022-11-23T01:22:43.2288737Z 
2022-11-23T01:22:43.2288946Z ----------------------------------------------------------------------
2022-11-23T01:22:43.2289207Z Ran 657 tests in 3.551s
2022-11-23T01:22:43.2289332Z 
2022-11-23T01:22:43.2289414Z OK (skipped=622)
2022-11-23T01:22:43.2289531Z 
2022-11-23T01:22:43.2289623Z Generating XML reports...
2022-11-23T01:22:43.2290057Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012238.xml
2022-11-23T01:22:43.2290643Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestNormalizeOperatorsCUDA-20221123012238.xml
2022-11-23T01:22:43.2290914Z 
2022-11-23T01:22:43.2291322Z ##[endgroup]
2022-11-23T01:22:43.2291735Z FINISHED PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_trm4w2bd)
2022-11-23T01:22:43.2291973Z 
2022-11-23T01:22:45.1397796Z Ignoring disabled issues:  []
2022-11-23T01:22:45.1639608Z Running test_import_stats ... [2022-11-23 01:22:45.163458]
2022-11-23T01:22:45.1641935Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:45.163867]
2022-11-23T01:22:50.7604862Z 
2022-11-23T01:22:50.7605500Z Expand the folded group to see the log file of test_import_stats
2022-11-23T01:22:50.7606450Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_pjrqd4z5)
2022-11-23T01:22:50.7606824Z 
2022-11-23T01:22:50.7606976Z Running tests...
2022-11-23T01:22:50.7607580Z ----------------------------------------------------------------------
2022-11-23T01:22:50.7608191Z Test results will be stored in test-reports/python-unittest/test_import_stats
2022-11-23T01:22:50.7608609Z   test_time_cuda_device_count (__main__.TestImportTime) ... ok (2.476s)
2022-11-23T01:22:50.7608919Z   test_time_import_torch (__main__.TestImportTime) ... ok (1.403s)
2022-11-23T01:22:50.7609089Z 
2022-11-23T01:22:50.7609295Z ----------------------------------------------------------------------
2022-11-23T01:22:50.7609559Z Ran 2 tests in 3.879s
2022-11-23T01:22:50.7609675Z 
2022-11-23T01:22:50.7609746Z OK
2022-11-23T01:22:50.7609845Z 
2022-11-23T01:22:50.7609937Z Generating XML reports...
2022-11-23T01:22:50.7610372Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221123012246.xml
2022-11-23T01:22:50.7610609Z 
2022-11-23T01:22:50.7610836Z ##[endgroup]
2022-11-23T01:22:50.7611244Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_pjrqd4z5)
2022-11-23T01:22:50.7611475Z 
2022-11-23T01:22:52.6834543Z Ignoring disabled issues:  []
2022-11-23T01:22:52.7070079Z Running test_jit_autocast ... [2022-11-23 01:22:52.706494]
2022-11-23T01:22:52.7074138Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:52.706906]
2022-11-23T01:24:02.6076384Z 
2022-11-23T01:24:02.6080869Z Expand the folded group to see the log file of test_jit_autocast
2022-11-23T01:24:02.6081580Z ##[group]PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_04vkur8c)
2022-11-23T01:24:02.6082139Z monkeytype is not installed. Skipping tests for Profile-Directed Typing
2022-11-23T01:24:02.6082330Z 
2022-11-23T01:24:02.6082416Z Running tests...
2022-11-23T01:24:02.6085844Z ----------------------------------------------------------------------
2022-11-23T01:24:02.6086638Z Test results will be stored in test-reports/python-unittest/test_jit_autocast
2022-11-23T01:24:02.6087208Z   test_autocast_api (__main__.TestAutocast) ... ok (0.842s)
2022-11-23T01:24:02.6087679Z   test_autocast_api_not_supported (__main__.TestAutocast) ... skip: we need to provide dtype argument at this moment (0.001s)
2022-11-23T01:24:02.6088028Z   test_autocast_autodiff (__main__.TestAutocast) ... ok (0.351s)
2022-11-23T01:24:02.6088375Z   test_autocast_decorator (__main__.TestAutocast) ... skip: autocast decorators not supported (0.000s)
2022-11-23T01:24:02.6088722Z   test_autocast_decorator_outside_jit (__main__.TestAutocast) ... ok (0.003s)
2022-11-23T01:24:02.6089035Z   test_autocast_mixed_dtypes (__main__.TestAutocast) ... ok (0.035s)
2022-11-23T01:24:02.6089475Z   test_callees (__main__.TestAutocast) ... ok (0.013s)
2022-11-23T01:24:02.6091221Z   test_callees_with_autocast_off (__main__.TestAutocast) ... ok (0.014s)
2022-11-23T01:24:02.6091676Z   test_callees_with_autocast_on (__main__.TestAutocast) ... ok (0.014s)
2022-11-23T01:24:02.6092123Z   test_conditional_autocast (__main__.TestAutocast) ... ok (0.014s)
2022-11-23T01:24:02.6092565Z   test_control_flow (__main__.TestAutocast) ... skip: broken due to lack of type propagation (0.001s)
2022-11-23T01:24:02.6093022Z   test_divergent_autocast (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6093394Z   test_divergent_types (__main__.TestAutocast) ... ok (0.013s)
2022-11-23T01:24:02.6093683Z   test_duplicate_inputs (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6093963Z   test_eager_and_script (__main__.TestAutocast) ... ok (0.005s)
2022-11-23T01:24:02.6094238Z   test_explicit_casts (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6094512Z   test_fp32_policy (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6094793Z   test_fp32_policy_with_fp64 (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6096423Z   test_fp32_set_opt_dtype_policy (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6096836Z   test_fp32_set_opt_dtype_policy_fp64 (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6097247Z   test_ignore_amp (__main__.TestAutocast) ... ok (0.003s)
2022-11-23T01:24:02.6097708Z   test_implicitly_nested_autocast (__main__.TestAutocast) ... ok (0.011s)
2022-11-23T01:24:02.6098139Z   test_inplace (__main__.TestAutocast) ... ok (0.013s)
2022-11-23T01:24:02.6098771Z   test_jit_autocast_softmax_cpu (__main__.TestAutocast) ... skip: CPU-only test (0.000s)
2022-11-23T01:24:02.6099469Z   test_jit_autocast_softmax_gpu (__main__.TestAutocast) ... ok (0.307s)
2022-11-23T01:24:02.6099843Z   test_jit_call_method_under_autocast (__main__.TestAutocast) ... ok (0.039s)
2022-11-23T01:24:02.6100145Z   test_jit_executor_under_autocast (__main__.TestAutocast) ... ok (0.016s)
2022-11-23T01:24:02.6100458Z   test_jit_freeze_autocast_basic (__main__.TestAutocast) ... ok (0.023s)
2022-11-23T01:24:02.6100843Z   test_jit_freeze_autocast_constants (__main__.TestAutocast) ... ok (0.017s)
2022-11-23T01:24:02.6101138Z   test_linear_bf16 (__main__.TestAutocast) ... ok (0.011s)
2022-11-23T01:24:02.6101417Z   test_minimal (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6101711Z   test_minimal_cpu (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6102005Z   test_minimal_off (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6102293Z   test_nested_autocast (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6102600Z   test_promote_policy (__main__.TestAutocast) ... ok (0.011s)
2022-11-23T01:24:02.6102908Z   test_promote_policy_fp64 (__main__.TestAutocast) ... ok (0.010s)
2022-11-23T01:24:02.6103209Z   test_reused_autocast (__main__.TestAutocast) ... ok (0.012s)
2022-11-23T01:24:02.6103565Z   test_reused_autocast_expr (__main__.TestAutocast) ... skip: unsuported autocast syntax (0.001s)
2022-11-23T01:24:02.6103929Z   test_runtime_autocast_state (__main__.TestAutocast) ... ok (0.013s)
2022-11-23T01:24:02.6104373Z   test_runtime_autocast_state_expr (__main__.TestAutocast) ... ok (0.014s)
2022-11-23T01:24:02.6104672Z   test_script_and_tracing (__main__.TestAutocast) ... ok (0.017s)
2022-11-23T01:24:02.6105035Z   test_script_and_tracing_with_autocast (__main__.TestAutocast) ... skip: autocast(False) is ignored inside traced functions (0.001s)
2022-11-23T01:24:02.6105427Z   test_script_module (__main__.TestAutocast) ... ok (0.019s)
2022-11-23T01:24:02.6105704Z   test_tracing_and_script (__main__.TestAutocast) ... ok (0.022s)
2022-11-23T01:24:02.6106077Z   test_tracing_with_autocast_and_script (__main__.TestAutocast) ... skip: scripted called from traced TorchScript is not yet working (0.001s)
2022-11-23T01:24:02.6106443Z   test_cat_promote (__main__.TestJitTraceAutocast) ... ok (0.124s)
2022-11-23T01:24:02.6106772Z   test_generate_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (22.612s)
2022-11-23T01:24:02.6107111Z   test_nchw_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (30.966s)
2022-11-23T01:24:02.6107456Z   test_nhwc_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (9.966s)
2022-11-23T01:24:02.6107782Z   test_script_autocast_cpu (__main__.TestJitTraceAutocast) ... ok (0.058s)
2022-11-23T01:24:02.6108096Z   test_script_autocast_cuda (__main__.TestJitTraceAutocast) ... ok (0.064s)
2022-11-23T01:24:02.6108435Z   test_script_autocast_enable_and_check (__main__.TestJitTraceAutocast) ... ok (0.068s)
2022-11-23T01:24:02.6108769Z   test_scripted_aliasing (__main__.TestJitTraceAutocast) ... ok (0.064s)
2022-11-23T01:24:02.6108945Z 
2022-11-23T01:24:02.6109163Z ----------------------------------------------------------------------
2022-11-23T01:24:02.6109414Z Ran 53 tests in 65.922s
2022-11-23T01:24:02.6109536Z 
2022-11-23T01:24:02.6109615Z OK (skipped=7)
2022-11-23T01:24:02.6109738Z 
2022-11-23T01:24:02.6109829Z Generating XML reports...
2022-11-23T01:24:02.6110240Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestAutocast-20221123012256.xml
2022-11-23T01:24:02.6110908Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestJitTraceAutocast-20221123012256.xml
2022-11-23T01:24:02.6111155Z 
2022-11-23T01:24:02.6111532Z ##[endgroup]
2022-11-23T01:24:02.6111942Z FINISHED PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_04vkur8c)
2022-11-23T01:24:02.6112173Z 
2022-11-23T01:24:04.5404253Z Ignoring disabled issues:  []
2022-11-23T01:24:04.5646370Z Running test_jit_llga_fuser ... [2022-11-23 01:24:04.564202]
2022-11-23T01:24:04.5649318Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_llga_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:04.564583]
2022-11-23T01:24:07.5896572Z 
2022-11-23T01:24:07.5897108Z Expand the folded group to see the log file of test_jit_llga_fuser
2022-11-23T01:24:07.5898036Z ##[group]PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser__yll98gi)
2022-11-23T01:24:07.5898295Z 
2022-11-23T01:24:07.5898407Z Running tests...
2022-11-23T01:24:07.5901025Z ----------------------------------------------------------------------
2022-11-23T01:24:07.5901525Z   test_dynamo_aot_ts_onednn (__main__.TestDynamoAOT) ... Test results will be stored in test-reports/python-unittest/test_jit_llga_fuser
2022-11-23T01:24:07.5901927Z skip: Enable when integration with dynamo aot_autograd is more stable (0.001s)
2022-11-23T01:24:07.5902261Z   test_context_manager (__main__.TestEnableDisableLlgaFuser) ... ok (0.068s)
2022-11-23T01:24:07.5902662Z   test_bn2d_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5903097Z   test_bn2d_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5903533Z   test_conv2d_bn_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5904185Z   test_conv2d_bn_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5904625Z   test_conv2d_bn_relu_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5905174Z   test_conv2d_bn_relu_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5905612Z   test_conv2d_clamp_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5906040Z   test_conv2d_clamp_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5906459Z   test_conv2d_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5906894Z   test_conv2d_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5907316Z   test_conv2d_silu_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5907743Z   test_conv2d_silu_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5908161Z   test_conv2d_sum_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5908582Z   test_conv2d_sum_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5909023Z   test_ensure_tensor_is_rewrapped_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5909485Z   test_ensure_tensor_is_rewrapped_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5909928Z   test_linear_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5910358Z   test_linear_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5910892Z   test_rewrap_tensor_input_to_pytorch_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5911382Z   test_rewrap_tensor_input_to_pytorch_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5911824Z   test_wildcard_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5912244Z   test_wildcard_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5912687Z   test_wildcard_unsupported_dtype_cuda_int32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5913112Z   test_vision_alexnet_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5913500Z   test_vision_alexnet_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5913881Z   test_vision_densenet121_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5914272Z   test_vision_densenet121_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5914705Z   test_vision_densenet161_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5915096Z   test_vision_densenet161_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5915502Z   test_vision_densenet169_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5915888Z   test_vision_densenet169_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5916271Z   test_vision_densenet201_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5916656Z   test_vision_densenet201_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5917045Z   test_vision_efficientnet_b0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5917446Z   test_vision_efficientnet_b0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5917848Z   test_vision_efficientnet_b1_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5918250Z   test_vision_efficientnet_b1_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5918632Z   test_vision_efficientnet_b2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5919031Z   test_vision_efficientnet_b2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5919428Z   test_vision_efficientnet_b3_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5919821Z   test_vision_efficientnet_b3_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5920208Z   test_vision_efficientnet_b4_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5920610Z   test_vision_efficientnet_b4_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5921006Z   test_vision_efficientnet_b5_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5921449Z   test_vision_efficientnet_b5_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5921831Z   test_vision_efficientnet_b6_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5922231Z   test_vision_efficientnet_b6_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5922629Z   test_vision_efficientnet_b7_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5923025Z   test_vision_efficientnet_b7_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5923408Z   test_vision_googlenet_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5923801Z   test_vision_googlenet_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5924191Z   test_vision_mnasnet1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5924577Z   test_vision_mnasnet1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5924993Z   test_vision_mobilenet_v2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5925385Z   test_vision_mobilenet_v2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5925809Z   test_vision_mobilenet_v3_large_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5926216Z   test_vision_mobilenet_v3_large_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5926604Z   test_vision_regnet_y_400mf_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5926991Z   test_vision_regnet_y_400mf_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5927383Z   test_vision_resnet50_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5927768Z   test_vision_resnet50_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5928153Z   test_vision_resnext101_32x8d_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5928544Z   test_vision_resnext101_32x8d_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5928931Z   test_vision_resnext50_32x4d_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5929320Z   test_vision_resnext50_32x4d_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5929708Z   test_vision_shufflenet_v2_x1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5930108Z   test_vision_shufflenet_v2_x1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5930505Z   test_vision_squeezenet1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5930900Z   test_vision_squeezenet1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5931279Z   test_vision_vgg16_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5931657Z   test_vision_vgg16_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5932045Z   test_vision_wide_resnet50_2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5932448Z   test_vision_wide_resnet50_2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5932827Z   test_add_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5933214Z   test_add_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5933599Z   test_add_scalar_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5933990Z   test_add_scalar_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5934367Z   test_addmm_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5934753Z   test_addmm_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5935205Z   test_avg_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5939186Z   test_avg_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5940209Z   test_bn2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5940888Z   test_bn2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5941464Z   test_cat_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5942037Z   test_cat_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5942608Z   test_conv2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5943170Z   test_conv2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5943721Z   test_eltwise_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5944312Z   test_eltwise_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5944876Z   test_identity_binary_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5945492Z   test_identity_binary_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5946064Z   test_layer_norm_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5946671Z   test_layer_norm_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5947251Z   test_linear_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5947868Z   test_linear_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5948450Z   test_max_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5949055Z   test_max_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5949615Z   test_mul_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5950187Z   test_mul_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5950868Z   test_softmax_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5951446Z   test_softmax_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T01:24:07.5952058Z   test_typecheck_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5952610Z   test_typecheck_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5953163Z   test_variable_kernel_avg_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5953746Z   test_variable_kernel_avg_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T01:24:07.5954044Z 
2022-11-23T01:24:07.5954469Z ----------------------------------------------------------------------
2022-11-23T01:24:07.5954847Z Ran 107 tests in 0.120s
2022-11-23T01:24:07.5955196Z 
2022-11-23T01:24:07.5955302Z OK (skipped=106)
2022-11-23T01:24:07.5955455Z 
2022-11-23T01:24:07.5955576Z Generating XML reports...
2022-11-23T01:24:07.5956202Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123012407.xml
2022-11-23T01:24:07.5957036Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123012407.xml
2022-11-23T01:24:07.5957810Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestFusionPatternCUDA-20221123012407.xml
2022-11-23T01:24:07.5958530Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123012407.xml
2022-11-23T01:24:07.5959219Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestOpCUDA-20221123012407.xml
2022-11-23T01:24:07.5959520Z 
2022-11-23T01:24:07.5960077Z ##[endgroup]
2022-11-23T01:24:07.5960629Z FINISHED PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser__yll98gi)
2022-11-23T01:24:07.5960930Z 
2022-11-23T01:24:09.5645251Z Ignoring disabled issues:  []
2022-11-23T01:24:09.5888574Z Running test_logging ... [2022-11-23 01:24:09.588300]
2022-11-23T01:24:09.5906513Z Executing ['/opt/conda/bin/python', '-bb', 'test_logging.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:09.590173]
2022-11-23T01:24:14.2793662Z 
2022-11-23T01:24:14.2794068Z Expand the folded group to see the log file of test_logging
2022-11-23T01:24:14.2794960Z ##[group]PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_cqxc8l2j)
2022-11-23T01:24:14.2795253Z 
2022-11-23T01:24:14.2795361Z Running tests...
2022-11-23T01:24:14.2795907Z ----------------------------------------------------------------------
2022-11-23T01:24:14.2796408Z Test results will be stored in test-reports/python-unittest/test_logging
2022-11-23T01:24:14.2796792Z   testApiUsage (__main__.LoggingTest)
2022-11-23T01:24:14.2797198Z This test verifies that api usage logging is not triggered via static ... ok (2.954s)
2022-11-23T01:24:14.2797447Z 
2022-11-23T01:24:14.2797706Z ----------------------------------------------------------------------
2022-11-23T01:24:14.2798046Z Ran 1 test in 2.954s
2022-11-23T01:24:14.2798202Z 
2022-11-23T01:24:14.2798293Z OK
2022-11-23T01:24:14.2798420Z 
2022-11-23T01:24:14.2798542Z Generating XML reports...
2022-11-23T01:24:14.2799078Z Generated XML report: test-reports/python-unittest/test_logging/TEST-LoggingTest-20221123012410.xml
2022-11-23T01:24:14.2799375Z 
2022-11-23T01:24:14.2799670Z ##[endgroup]
2022-11-23T01:24:14.2800179Z FINISHED PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_cqxc8l2j)
2022-11-23T01:24:14.2800458Z 
2022-11-23T01:24:16.2206075Z Ignoring disabled issues:  []
2022-11-23T01:24:16.2446542Z Running test_meta ... [2022-11-23 01:24:16.244116]
2022-11-23T01:24:16.2463578Z Executing ['/opt/conda/bin/python', '-bb', 'test_meta.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:16.245954]
2022-11-23T01:32:29.2544674Z 
2022-11-23T01:32:29.2545380Z Expand the folded group to see the log file of inductor/test_torchinductor
2022-11-23T01:32:29.2546158Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_ucbqo09d)
2022-11-23T01:32:29.2707075Z 
2022-11-23T01:32:29.2707541Z Running tests...
2022-11-23T01:32:29.2708142Z ----------------------------------------------------------------------
2022-11-23T01:32:29.2708572Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor
2022-11-23T01:32:29.2714547Z   test_auto_simd (__main__.CPUReproTests) ... ok (1.024s)
2022-11-23T01:32:29.2714952Z   test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.001s)
2022-11-23T01:32:29.2716110Z   test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:21:19,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.2716944Z [2022-11-23 01:21:21,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c7/cc7tjx5dynnmg2gxguiitedusgpnhiowv5bcvsmqulaadu3wp6eb.py
2022-11-23T01:32:29.2717691Z [2022-11-23 01:21:21,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.2718197Z [2022-11-23 01:21:21,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.2718982Z [2022-11-23 01:21:21,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu7lzqx5426hbhesku2gretmutenpaq52ndct7im7ghtmcrkdgxy.py
2022-11-23T01:32:29.2719588Z [2022-11-23 01:21:21,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.2719797Z 
2022-11-23T01:32:29.2719902Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2720119Z import torch
2022-11-23T01:32:29.2720309Z import random
2022-11-23T01:32:29.2720545Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2720827Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2721835Z 
2022-11-23T01:32:29.2722044Z aten = torch.ops.aten
2022-11-23T01:32:29.2722454Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2722876Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2723082Z 
2022-11-23T01:32:29.2723195Z import triton
2022-11-23T01:32:29.2723498Z import triton.language as tl
2022-11-23T01:32:29.2723891Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2724345Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2724611Z 
2022-11-23T01:32:29.2724618Z 
2022-11-23T01:32:29.2731991Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.2732472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.2732975Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.2733322Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.2733585Z {
2022-11-23T01:32:29.2733854Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2734158Z     {
2022-11-23T01:32:29.2734343Z         #pragma omp for  collapse(3)
2022-11-23T01:32:29.2734591Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.2734854Z         {
2022-11-23T01:32:29.2735091Z             for(long i1=0; i1<5; i1+=1)
2022-11-23T01:32:29.2752417Z             {
2022-11-23T01:32:29.2753114Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:32:29.2753604Z                 {
2022-11-23T01:32:29.2753831Z                     {
2022-11-23T01:32:29.2754321Z                         {
2022-11-23T01:32:29.2754652Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)];
2022-11-23T01:32:29.2754975Z                             out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0;
2022-11-23T01:32:29.2755235Z                         }
2022-11-23T01:32:29.2755475Z                     }
2022-11-23T01:32:29.2755707Z                 }
2022-11-23T01:32:29.2755931Z             }
2022-11-23T01:32:29.2756160Z         }
2022-11-23T01:32:29.2756418Z     }
2022-11-23T01:32:29.2756608Z }
2022-11-23T01:32:29.2756944Z ''')
2022-11-23T01:32:29.2757080Z 
2022-11-23T01:32:29.2757087Z 
2022-11-23T01:32:29.2757207Z async_compile.wait(globals())
2022-11-23T01:32:29.2757468Z del async_compile
2022-11-23T01:32:29.2757579Z 
2022-11-23T01:32:29.2757668Z def call(args):
2022-11-23T01:32:29.2757920Z     inp_1, weight_1 = args
2022-11-23T01:32:29.2758176Z     args.clear()
2022-11-23T01:32:29.2758534Z     buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2758935Z     kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.2759242Z     del inp_1
2022-11-23T01:32:29.2759516Z     buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:29.2760188Z     assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6))
2022-11-23T01:32:29.2760481Z     del buf0
2022-11-23T01:32:29.2760730Z     del weight_1
2022-11-23T01:32:29.2761067Z     return (buf1, )
2022-11-23T01:32:29.2761225Z 
2022-11-23T01:32:29.2761232Z 
2022-11-23T01:32:29.2761335Z if __name__ == "__main__":
2022-11-23T01:32:29.2761581Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.2761937Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.2762438Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2762952Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2763339Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:32:29.2763527Z 
2022-11-23T01:32:29.2763533Z 
2022-11-23T01:32:29.2763703Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2763995Z import torch
2022-11-23T01:32:29.2764255Z import random
2022-11-23T01:32:29.2764567Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2764907Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2765120Z 
2022-11-23T01:32:29.2765221Z aten = torch.ops.aten
2022-11-23T01:32:29.2765560Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2765831Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2766012Z 
2022-11-23T01:32:29.2766096Z import triton
2022-11-23T01:32:29.2766341Z import triton.language as tl
2022-11-23T01:32:29.2766626Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2767019Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2767256Z 
2022-11-23T01:32:29.2767261Z 
2022-11-23T01:32:29.2767362Z async_compile.wait(globals())
2022-11-23T01:32:29.2767611Z del async_compile
2022-11-23T01:32:29.2767767Z 
2022-11-23T01:32:29.2767871Z def call(args):
2022-11-23T01:32:29.2768131Z     inp_1, weight_1 = args
2022-11-23T01:32:29.2768389Z     args.clear()
2022-11-23T01:32:29.2768731Z     buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:29.2769071Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:29.2769361Z     del inp_1
2022-11-23T01:32:29.2769592Z     del weight_1
2022-11-23T01:32:29.2769829Z     return (buf0, )
2022-11-23T01:32:29.2769951Z 
2022-11-23T01:32:29.2769956Z 
2022-11-23T01:32:29.2770045Z if __name__ == "__main__":
2022-11-23T01:32:29.2770358Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.2770657Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.2771154Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2771712Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2772084Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:32:29.2772294Z 
2022-11-23T01:32:29.2772395Z ok (1.739s)
2022-11-23T01:32:29.2772910Z   test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:21:21,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.2773627Z [2022-11-23 01:21:22,980] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhukfgmeub5bm72cj6ammtua7cxeo3t4wswln25qmrpb3wtqe2c.py
2022-11-23T01:32:29.2774233Z [2022-11-23 01:21:22,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.2774491Z 
2022-11-23T01:32:29.2774605Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2776244Z import torch
2022-11-23T01:32:29.2776556Z import random
2022-11-23T01:32:29.2776937Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2777398Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2777657Z 
2022-11-23T01:32:29.2777791Z aten = torch.ops.aten
2022-11-23T01:32:29.2778346Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2779005Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2779242Z 
2022-11-23T01:32:29.2779362Z import triton
2022-11-23T01:32:29.2779817Z import triton.language as tl
2022-11-23T01:32:29.2780115Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2780525Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2780818Z 
2022-11-23T01:32:29.2780826Z 
2022-11-23T01:32:29.2781126Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.2781661Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.2782178Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.2782565Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.2782894Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.2783180Z {
2022-11-23T01:32:29.2783473Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2783758Z     {
2022-11-23T01:32:29.2784019Z         #pragma omp for 
2022-11-23T01:32:29.2784296Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.2784562Z         {
2022-11-23T01:32:29.2784910Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.2785337Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.2785771Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(0.55));
2022-11-23T01:32:29.2786142Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:29.2786454Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.2786772Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.2787043Z         }
2022-11-23T01:32:29.2787340Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.2787666Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.2787933Z         {
2022-11-23T01:32:29.2788206Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:29.2788533Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.2788857Z             auto tmp2 = static_cast<float>(0.55);
2022-11-23T01:32:29.2789171Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:29.2789479Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.2789786Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.2790059Z         }
2022-11-23T01:32:29.2790397Z     }
2022-11-23T01:32:29.2790624Z }
2022-11-23T01:32:29.2790910Z ''')
2022-11-23T01:32:29.2791072Z 
2022-11-23T01:32:29.2791234Z 
2022-11-23T01:32:29.2791377Z async_compile.wait(globals())
2022-11-23T01:32:29.2791678Z del async_compile
2022-11-23T01:32:29.2791840Z 
2022-11-23T01:32:29.2791951Z def call(args):
2022-11-23T01:32:29.2792201Z     x_1, y_1 = args
2022-11-23T01:32:29.2792440Z     args.clear()
2022-11-23T01:32:29.2792805Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr()))
2022-11-23T01:32:29.2793136Z     del y_1
2022-11-23T01:32:29.2793369Z     return (x_1, )
2022-11-23T01:32:29.2793529Z 
2022-11-23T01:32:29.2793537Z 
2022-11-23T01:32:29.2793651Z if __name__ == "__main__":
2022-11-23T01:32:29.2793969Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.2794351Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.2794826Z     x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2795301Z     y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2795673Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:29.2795887Z 
2022-11-23T01:32:29.2795982Z ok (1.581s)
2022-11-23T01:32:29.2796891Z   test_inplace_squeeze_needed (__main__.CPUReproTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:29.2797573Z   warnings.warn(
2022-11-23T01:32:29.2798219Z [2022-11-23 01:21:22,986] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2798866Z [2022-11-23 01:21:22,986] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2799491Z [2022-11-23 01:21:22,986] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2800063Z [2022-11-23 01:21:22,986] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2800631Z [2022-11-23 01:21:22,986] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.2801309Z [2022-11-23 01:21:22,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.2801904Z [2022-11-23 01:21:22,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4698
2022-11-23T01:32:29.2802363Z [2022-11-23 01:21:22,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod []
2022-11-23T01:32:29.2802793Z [2022-11-23 01:21:22,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:29.2803270Z [2022-11-23 01:21:22,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:29.2803726Z [2022-11-23 01:21:22,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.2804159Z [2022-11-23 01:21:22,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.2804590Z [2022-11-23 01:21:23,000] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.2805026Z [2022-11-23 01:21:23,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.2805409Z [2022-11-23 01:21:23,009] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.2805713Z  __compiled_fn_0 <eval_with_key>.7 opcode, name, target, args, kwargs
2022-11-23T01:32:29.2805970Z placeholder, x, x, (), {}
2022-11-23T01:32:29.2806185Z call_module, mod_0, mod_0, (x,), {}
2022-11-23T01:32:29.2806411Z call_module, mod_1, mod_1, (mod_0,), {}
2022-11-23T01:32:29.2806640Z call_module, mod_2, mod_2, (mod_1,), {}
2022-11-23T01:32:29.2806865Z output, output, output, ((mod_2,),), {}
2022-11-23T01:32:29.2807006Z 
2022-11-23T01:32:29.2807338Z [2022-11-23 01:21:23,009] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T01:32:29.2807689Z 4698           0 LOAD_DEREF               0 (mod)
2022-11-23T01:32:29.2807919Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.2808137Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.2808351Z                6 RETURN_VALUE
2022-11-23T01:32:29.2808477Z 
2022-11-23T01:32:29.2808548Z  
2022-11-23T01:32:29.2808958Z [2022-11-23 01:21:23,009] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T01:32:29.2809312Z 4696           0 LOAD_GLOBAL              0 (__compiled_fn_0)
2022-11-23T01:32:29.2809551Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.2809771Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.2809994Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.2810208Z                8 RETURN_VALUE
2022-11-23T01:32:29.2810331Z 
2022-11-23T01:32:29.2810396Z  
2022-11-23T01:32:29.2810674Z [2022-11-23 01:21:23,100] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.2810910Z  - 
2022-11-23T01:32:29.2811133Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.2811322Z             {
2022-11-23T01:32:29.2811573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.2811829Z                 'code': None,
2022-11-23T01:32:29.2812229Z                 'obj_weakref': <weakref at 0x7f21279b80e0; to 'Tensor' at 0x7f21284a98f0>
2022-11-23T01:32:29.2812658Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.2812946Z             }
2022-11-23T01:32:29.2813111Z             
2022-11-23T01:32:29.2813295Z  - 
2022-11-23T01:32:29.2813513Z             local 'mod' NN_MODULE
2022-11-23T01:32:29.2813701Z             {
2022-11-23T01:32:29.2813946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.2814251Z                 'code': ['___check_obj_id(mod, 139781085532208)'],
2022-11-23T01:32:29.2814612Z                 'obj_weakref': <weakref at 0x7f2127a0f740; to 'Sequential' at 0x7f2151f31030>
2022-11-23T01:32:29.2815027Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:29.2815280Z             }
2022-11-23T01:32:29.2815452Z             
2022-11-23T01:32:29.2815623Z  - 
2022-11-23T01:32:29.2815866Z             local_nn_module 'mod[0]' NN_MODULE
2022-11-23T01:32:29.2816070Z             {
2022-11-23T01:32:29.2816290Z                 'guard_types': None,
2022-11-23T01:32:29.2816534Z                 'code': None,
2022-11-23T01:32:29.2816775Z                 'obj_weakref': None
2022-11-23T01:32:29.2817020Z                 'guarded_class': None
2022-11-23T01:32:29.2817220Z             }
2022-11-23T01:32:29.2817388Z             
2022-11-23T01:32:29.2817559Z  - 
2022-11-23T01:32:29.2817796Z             local_nn_module 'mod[1]' NN_MODULE
2022-11-23T01:32:29.2818000Z             {
2022-11-23T01:32:29.2818219Z                 'guard_types': None,
2022-11-23T01:32:29.2818459Z                 'code': None,
2022-11-23T01:32:29.2818697Z                 'obj_weakref': None
2022-11-23T01:32:29.2819218Z                 'guarded_class': None
2022-11-23T01:32:29.2819449Z             }
2022-11-23T01:32:29.2819617Z             
2022-11-23T01:32:29.2819788Z  - 
2022-11-23T01:32:29.2820028Z             local_nn_module 'mod[2]' NN_MODULE
2022-11-23T01:32:29.2820227Z             {
2022-11-23T01:32:29.2820440Z                 'guard_types': None,
2022-11-23T01:32:29.2820679Z                 'code': None,
2022-11-23T01:32:29.2820924Z                 'obj_weakref': None
2022-11-23T01:32:29.2821161Z                 'guarded_class': None
2022-11-23T01:32:29.2821353Z             }
2022-11-23T01:32:29.2821524Z             
2022-11-23T01:32:29.2821926Z [2022-11-23 01:21:23,101] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.2822456Z [2022-11-23 01:21:23,101] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.2822941Z [2022-11-23 01:21:23,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0
2022-11-23T01:32:29.2823507Z [2022-11-23 01:21:24,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pw/cpwalvexmukpb775kbgcnkqmmildlyc3hb3ynzmi557y6e2ljhby.py
2022-11-23T01:32:29.2824037Z [2022-11-23 01:21:24,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0
2022-11-23T01:32:29.2824501Z [2022-11-23 01:21:24,868] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2824959Z [2022-11-23 01:21:24,868] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:32:29.2825156Z 
2022-11-23T01:32:29.2825258Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2825463Z import torch
2022-11-23T01:32:29.2825652Z import random
2022-11-23T01:32:29.2825883Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2826154Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2826315Z 
2022-11-23T01:32:29.2826399Z aten = torch.ops.aten
2022-11-23T01:32:29.2826658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2826990Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2827124Z 
2022-11-23T01:32:29.2827202Z import triton
2022-11-23T01:32:29.2827407Z import triton.language as tl
2022-11-23T01:32:29.2827691Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2827983Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2828159Z 
2022-11-23T01:32:29.2828164Z 
2022-11-23T01:32:29.2828307Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.2828655Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.2828999Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.2829260Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:29.2829508Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.2829754Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.2829998Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:29.2830238Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.2830579Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.2830815Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.2831054Z                        bool* __restrict__ out_ptr4)
2022-11-23T01:32:29.2831257Z {
2022-11-23T01:32:29.2831434Z     auto in_ptr0 = in_out_ptr0;
2022-11-23T01:32:29.2831646Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:29.2831837Z     {
2022-11-23T01:32:29.2832129Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:29.2832417Z         float tmp3 = 0;
2022-11-23T01:32:29.2832653Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:29.2832909Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2833109Z         {
2022-11-23T01:32:29.2833317Z             #pragma omp for reduction(+:tmp3_vec) 
2022-11-23T01:32:29.2833551Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.2833736Z             {
2022-11-23T01:32:29.2833979Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.2834284Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.2834532Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.2834746Z                 tmp3_vec += tmp2;
2022-11-23T01:32:29.2834934Z             }
2022-11-23T01:32:29.2835233Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:29.2835572Z             #pragma omp for simd simdlen(4) reduction(+:tmp3) 
2022-11-23T01:32:29.2835815Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.2836008Z             {
2022-11-23T01:32:29.2836194Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.2836409Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.2836634Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.2836839Z                 tmp3 += tmp2;
2022-11-23T01:32:29.2837023Z             }
2022-11-23T01:32:29.2837191Z         }
2022-11-23T01:32:29.2837365Z         out_ptr0[0] = tmp3;
2022-11-23T01:32:29.2837551Z     }
2022-11-23T01:32:29.2837712Z     {
2022-11-23T01:32:29.2837994Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:29.2838280Z         float tmp8 = 0;
2022-11-23T01:32:29.2838522Z         auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T01:32:29.2838740Z         float tmp9 = 0;
2022-11-23T01:32:29.2838974Z         auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T01:32:29.2839227Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2839435Z         {
2022-11-23T01:32:29.2839663Z             #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 
2022-11-23T01:32:29.2839957Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.2840149Z             {
2022-11-23T01:32:29.2840383Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.2840681Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.2841004Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T01:32:29.2841244Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.2841510Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:29.2841764Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T01:32:29.2842028Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T01:32:29.2842241Z                 auto tmp7 = tmp6.pow(2);
2022-11-23T01:32:29.2842454Z                 tmp8_vec += tmp7;
2022-11-23T01:32:29.2842653Z                 tmp9_vec += tmp2;
2022-11-23T01:32:29.2842832Z             }
2022-11-23T01:32:29.2843136Z             tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T01:32:29.2843549Z             tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T01:32:29.2843909Z             #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 
2022-11-23T01:32:29.2844165Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.2844360Z             {
2022-11-23T01:32:29.2844552Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.2844764Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.2844977Z                 auto tmp3 = out_ptr0[0];
2022-11-23T01:32:29.2845193Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.2845416Z                 auto tmp4 = static_cast<float>(10);
2022-11-23T01:32:29.2845644Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T01:32:29.2845897Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T01:32:29.2846107Z                 auto tmp7 = tmp6 * tmp6;
2022-11-23T01:32:29.2846319Z                 tmp8 += tmp7;
2022-11-23T01:32:29.2846512Z                 tmp9 += tmp2;
2022-11-23T01:32:29.2846698Z             }
2022-11-23T01:32:29.2846869Z         }
2022-11-23T01:32:29.2847045Z         out_ptr1[0] = tmp8;
2022-11-23T01:32:29.2847244Z         out_ptr2[0] = tmp9;
2022-11-23T01:32:29.2847430Z     }
2022-11-23T01:32:29.2847620Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2847824Z     {
2022-11-23T01:32:29.2848207Z         #pragma omp for 
2022-11-23T01:32:29.2848406Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:29.2848599Z         {
2022-11-23T01:32:29.2848765Z             {
2022-11-23T01:32:29.2848929Z                 {
2022-11-23T01:32:29.2849136Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:29.2849365Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.2849584Z                     auto tmp3 = out_ptr2[0];
2022-11-23T01:32:29.2849805Z                     auto tmp7 = out_ptr1[0];
2022-11-23T01:32:29.2850034Z                     auto tmp14 = in_ptr2[i0];
2022-11-23T01:32:29.2850259Z                     auto tmp16 = in_ptr3[i0];
2022-11-23T01:32:29.2850474Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.2850716Z                     auto tmp4 = static_cast<float>(10);
2022-11-23T01:32:29.2850952Z                     auto tmp5 = tmp3 / tmp4;
2022-11-23T01:32:29.2851211Z                     auto tmp6 = tmp2 - tmp5;
2022-11-23T01:32:29.2851431Z                     auto tmp8 = tmp7 / tmp4;
2022-11-23T01:32:29.2851746Z                     auto tmp9 = static_cast<float>(1e-05);
2022-11-23T01:32:29.2852002Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:29.2852235Z                     auto tmp11 = std::sqrt(tmp10);
2022-11-23T01:32:29.2852463Z                     auto tmp12 = 1 / tmp11;
2022-11-23T01:32:29.2852679Z                     auto tmp13 = tmp6 * tmp12;
2022-11-23T01:32:29.2852906Z                     auto tmp15 = tmp13 * tmp14;
2022-11-23T01:32:29.2853171Z                     auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:29.2853406Z                     auto tmp18 = tmp17 * (tmp17>0);
2022-11-23T01:32:29.2853641Z                     auto tmp19 = static_cast<float>(0);
2022-11-23T01:32:29.2853905Z                     auto tmp20 = tmp18 <= tmp19;
2022-11-23T01:32:29.2854133Z                     in_out_ptr0[i0] = tmp13;
2022-11-23T01:32:29.2854345Z                     out_ptr3[i0] = tmp18;
2022-11-23T01:32:29.2854558Z                     out_ptr4[i0] = tmp20;
2022-11-23T01:32:29.2854750Z                 }
2022-11-23T01:32:29.2854919Z             }
2022-11-23T01:32:29.2855087Z         }
2022-11-23T01:32:29.2855268Z         #pragma omp single
2022-11-23T01:32:29.2855447Z         {
2022-11-23T01:32:29.2855610Z             {
2022-11-23T01:32:29.2855780Z                 {
2022-11-23T01:32:29.2855972Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:32:29.2856210Z                     auto tmp1 = static_cast<float>(10);
2022-11-23T01:32:29.2856450Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.2856734Z                     auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:29.2856971Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.2857204Z                     auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:29.2857417Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:29.2857640Z                     auto tmp7 = tmp6 / tmp1;
2022-11-23T01:32:29.2857861Z                     in_out_ptr1[0] = tmp7;
2022-11-23T01:32:29.2858062Z                 }
2022-11-23T01:32:29.2858227Z             }
2022-11-23T01:32:29.2858395Z         }
2022-11-23T01:32:29.2858558Z     }
2022-11-23T01:32:29.2858710Z }
2022-11-23T01:32:29.2859110Z ''')
2022-11-23T01:32:29.2859228Z 
2022-11-23T01:32:29.2859233Z 
2022-11-23T01:32:29.2859331Z async_compile.wait(globals())
2022-11-23T01:32:29.2859531Z del async_compile
2022-11-23T01:32:29.2859647Z 
2022-11-23T01:32:29.2859725Z def call(args):
2022-11-23T01:32:29.2860042Z     primals_1, primals_2, primals_3, primals_4, primals_5 = args
2022-11-23T01:32:29.2860360Z     args.clear()
2022-11-23T01:32:29.2860797Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2861258Z     aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0)
2022-11-23T01:32:29.2861609Z     del primals_1
2022-11-23T01:32:29.2862034Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2862521Z     buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2863009Z     buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2863377Z     buf4 = as_strided(buf0, (10, ), (1, )); del buf0  # reuse
2022-11-23T01:32:29.2863838Z     buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2864313Z     buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.2864639Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:32:29.2865234Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:32:29.2865782Z     del buf1
2022-11-23T01:32:29.2866024Z     del buf3
2022-11-23T01:32:29.2866261Z     del primals_2
2022-11-23T01:32:29.2866522Z     del primals_4
2022-11-23T01:32:29.2866882Z     return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, )
2022-11-23T01:32:29.2867104Z 
2022-11-23T01:32:29.2867121Z 
2022-11-23T01:32:29.2867226Z if __name__ == "__main__":
2022-11-23T01:32:29.2867554Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.2867933Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.2868438Z     primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2870611Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2871839Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2872445Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2872946Z     primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2873388Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5]))
2022-11-23T01:32:29.2873652Z 
2022-11-23T01:32:29.2873755Z ok (1.888s)
2022-11-23T01:32:29.2874338Z   test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:21:24,873] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.2875100Z [2022-11-23 01:21:24,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4853
2022-11-23T01:32:29.2875733Z [2022-11-23 01:21:24,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask []
2022-11-23T01:32:29.2876315Z [2022-11-23 01:21:24,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:29.2876955Z [2022-11-23 01:21:24,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:29.2877820Z [2022-11-23 01:21:24,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.2878630Z [2022-11-23 01:21:24,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)]
2022-11-23T01:32:29.2879273Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()]
2022-11-23T01:32:29.2879945Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4854
2022-11-23T01:32:29.2880550Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.2881283Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.2882077Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(<built-in method masked_fill of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.2882869Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(<built-in method masked_fill of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.2883714Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(<built-in method masked_fill of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.2884647Z [2022-11-23 01:21:24,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method masked_fill of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.2885367Z [2022-11-23 01:21:24,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:29.2886034Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4855
2022-11-23T01:32:29.2886642Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.2887362Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.2888218Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.2889002Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.2889889Z [2022-11-23 01:21:24,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.2890573Z [2022-11-23 01:21:24,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.2891141Z [2022-11-23 01:21:24,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.2891714Z [2022-11-23 01:21:24,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.2892294Z [2022-11-23 01:21:24,888] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.2892791Z [2022-11-23 01:21:24,888] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.2893192Z  __compiled_fn_1 <eval_with_key>.18 opcode, name, target, args, kwargs
2022-11-23T01:32:29.2893541Z placeholder, value, value, (), {}
2022-11-23T01:32:29.2893852Z placeholder, mask, mask, (), {}
2022-11-23T01:32:29.2894155Z call_method, to, to, (mask, torch.bool), {}
2022-11-23T01:32:29.2894701Z call_function, masked_fill, <built-in method masked_fill of type object at 0x7f209c394c60>, (value, to, -33.0), {}
2022-11-23T01:32:29.2895294Z call_function, softmax, <built-in method softmax of type object at 0x7f209c394c60>, (masked_fill, -1), {}
2022-11-23T01:32:29.2895687Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:29.2895878Z 
2022-11-23T01:32:29.2896324Z [2022-11-23 01:21:24,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T01:32:29.2896775Z 4853           0 LOAD_FAST                1 (mask)
2022-11-23T01:32:29.2897075Z                2 LOAD_METHOD              0 (to)
2022-11-23T01:32:29.2897374Z                4 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.2897669Z                6 LOAD_ATTR                2 (bool)
2022-11-23T01:32:29.2897970Z                8 CALL_METHOD              1
2022-11-23T01:32:29.2898260Z               10 STORE_FAST               1 (mask)
2022-11-23T01:32:29.2898432Z 
2022-11-23T01:32:29.2898564Z 4854          12 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.2899055Z               14 LOAD_METHOD              3 (masked_fill)
2022-11-23T01:32:29.2899371Z               16 LOAD_FAST                0 (value)
2022-11-23T01:32:29.2899653Z               18 LOAD_FAST                1 (mask)
2022-11-23T01:32:29.2900033Z               20 LOAD_CONST               1 (-33.0)
2022-11-23T01:32:29.2900316Z               22 CALL_METHOD              3
2022-11-23T01:32:29.2900600Z               24 STORE_FAST               2 (x)
2022-11-23T01:32:29.2900772Z 
2022-11-23T01:32:29.2900902Z 4855          26 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.2901201Z               28 LOAD_METHOD              4 (softmax)
2022-11-23T01:32:29.2901497Z               30 LOAD_FAST                2 (x)
2022-11-23T01:32:29.2901859Z               32 LOAD_CONST               2 (-1)
2022-11-23T01:32:29.2902157Z               34 CALL_METHOD              2
2022-11-23T01:32:29.2902428Z               36 RETURN_VALUE
2022-11-23T01:32:29.2902571Z 
2022-11-23T01:32:29.2902663Z  
2022-11-23T01:32:29.2903224Z [2022-11-23 01:21:24,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T01:32:29.2903669Z 4852           0 LOAD_GLOBAL              5 (__compiled_fn_1)
2022-11-23T01:32:29.2903980Z                2 LOAD_FAST                0 (value)
2022-11-23T01:32:29.2904352Z                4 LOAD_FAST                1 (mask)
2022-11-23T01:32:29.2904649Z                6 CALL_FUNCTION            2
2022-11-23T01:32:29.2904936Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.2905209Z               10 RETURN_VALUE
2022-11-23T01:32:29.2905426Z 
2022-11-23T01:32:29.2905521Z  
2022-11-23T01:32:29.2905905Z [2022-11-23 01:21:24,889] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.2906204Z  - 
2022-11-23T01:32:29.2906498Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:29.2906760Z             {
2022-11-23T01:32:29.2907087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.2908404Z                 'code': None,
2022-11-23T01:32:29.2908837Z                 'obj_weakref': <weakref at 0x7f2115dc6bb0; to 'Tensor' at 0x7f212796b740>
2022-11-23T01:32:29.2909388Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.2909721Z             }
2022-11-23T01:32:29.2909949Z             
2022-11-23T01:32:29.2910192Z  - 
2022-11-23T01:32:29.2910616Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:29.2910883Z             {
2022-11-23T01:32:29.2911225Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.2911558Z                 'code': None,
2022-11-23T01:32:29.2911990Z                 'obj_weakref': <weakref at 0x7f2115dc6e80; to 'Tensor' at 0x7f21284a98f0>
2022-11-23T01:32:29.2912528Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.2912862Z             }
2022-11-23T01:32:29.2913081Z             
2022-11-23T01:32:29.2913324Z  - 
2022-11-23T01:32:29.2913637Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.2913895Z             {
2022-11-23T01:32:29.2914193Z                 'guard_types': None,
2022-11-23T01:32:29.2914514Z                 'code': None,
2022-11-23T01:32:29.2914826Z                 'obj_weakref': None
2022-11-23T01:32:29.2915155Z                 'guarded_class': None
2022-11-23T01:32:29.2915417Z             }
2022-11-23T01:32:29.2915637Z             
2022-11-23T01:32:29.2915884Z  - 
2022-11-23T01:32:29.2916212Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:29.2916484Z             {
2022-11-23T01:32:29.2916822Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.2917216Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:29.2917570Z                 'obj_weakref': None
2022-11-23T01:32:29.2918025Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:29.2918348Z             }
2022-11-23T01:32:29.2918580Z             
2022-11-23T01:32:29.2919053Z [2022-11-23 01:21:24,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1
2022-11-23T01:32:29.2919780Z [2022-11-23 01:21:26,532] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vr/cvrgtgj55i34beuft3pkmikqk5jpc2vgu5ddd4yyq67ksh5snn6y.py
2022-11-23T01:32:29.2920488Z [2022-11-23 01:21:26,533] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1
2022-11-23T01:32:29.2920756Z 
2022-11-23T01:32:29.2920895Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2921161Z import torch
2022-11-23T01:32:29.2921456Z import random
2022-11-23T01:32:29.2921758Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2922113Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2922321Z 
2022-11-23T01:32:29.2922438Z aten = torch.ops.aten
2022-11-23T01:32:29.2922790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2923143Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2923321Z 
2022-11-23T01:32:29.2923430Z import triton
2022-11-23T01:32:29.2923699Z import triton.language as tl
2022-11-23T01:32:29.2924038Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2924446Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2924762Z 
2022-11-23T01:32:29.2924771Z 
2022-11-23T01:32:29.2924979Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.2925446Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.2926013Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.2926377Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:32:29.2926731Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.2927050Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.2927359Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.2927631Z {
2022-11-23T01:32:29.2927888Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:29.2928198Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.2928483Z     {
2022-11-23T01:32:29.2928728Z         #pragma omp for 
2022-11-23T01:32:29.2929002Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.2929266Z         {
2022-11-23T01:32:29.2929495Z             {
2022-11-23T01:32:29.2930160Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:29.2930857Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.2931250Z                 auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T01:32:29.2931580Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.2931830Z                 {
2022-11-23T01:32:29.2932121Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:32:29.2932505Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:32:29.2932911Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:29.2933352Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:32:29.2933697Z                     auto tmp1 = (tmp0);
2022-11-23T01:32:29.2934166Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:32:29.2934571Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:32:29.2934956Z                     tmp5_vec = at::vec::maximum(tmp5_vec, tmp4);
2022-11-23T01:32:29.2935253Z                 }
2022-11-23T01:32:29.2935659Z                 tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp5_vec);
2022-11-23T01:32:29.2936133Z                 #pragma omp simd simdlen(4)  reduction(max:tmp5)
2022-11-23T01:32:29.2936476Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:29.2936742Z                 {
2022-11-23T01:32:29.2937020Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:32:29.2937346Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:32:29.2937680Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:29.2938090Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:32:29.2938425Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:32:29.2938747Z                     tmp5 = std::max(tmp5, tmp4);
2022-11-23T01:32:29.2939179Z                 }
2022-11-23T01:32:29.2939440Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:32:29.2939700Z             }
2022-11-23T01:32:29.2939922Z         }
2022-11-23T01:32:29.2940161Z         #pragma omp for 
2022-11-23T01:32:29.2940436Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.2940678Z         {
2022-11-23T01:32:29.2940901Z             {
2022-11-23T01:32:29.2941309Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:29.2941694Z                 float tmp8 = 0;
2022-11-23T01:32:29.2942009Z                 auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T01:32:29.2942428Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.2942701Z                 {
2022-11-23T01:32:29.2942977Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:32:29.2943382Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:32:29.2943791Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:29.2944204Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:32:29.2944599Z                     auto tmp5 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:29.2944926Z                     auto tmp1 = (tmp0);
2022-11-23T01:32:29.2945403Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:32:29.2945789Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:32:29.2946214Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:32:29.2946515Z                     auto tmp7 = tmp6.exp();
2022-11-23T01:32:29.2946838Z                     tmp7.store(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:32:29.2947140Z                     tmp8_vec += tmp7;
2022-11-23T01:32:29.2947405Z                 }
2022-11-23T01:32:29.2947812Z                 tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T01:32:29.2948252Z                 #pragma omp simd simdlen(4)  reduction(+:tmp8)
2022-11-23T01:32:29.2948576Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:29.2948838Z                 {
2022-11-23T01:32:29.2949104Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:32:29.2949429Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:32:29.2949746Z                     auto tmp5 = out_ptr0[i0];
2022-11-23T01:32:29.2950062Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:29.2950580Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:32:29.2950906Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:32:29.2951287Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:32:29.2951617Z                     auto tmp7 = std::exp(tmp6);
2022-11-23T01:32:29.2951981Z                     out_ptr1[i1 + (17*i0)] = tmp7;
2022-11-23T01:32:29.2952277Z                     tmp8 += tmp7;
2022-11-23T01:32:29.2952526Z                 }
2022-11-23T01:32:29.2952792Z                 out_ptr2[i0] = tmp8;
2022-11-23T01:32:29.2953049Z             }
2022-11-23T01:32:29.2953278Z         }
2022-11-23T01:32:29.2953528Z         #pragma omp for 
2022-11-23T01:32:29.2953803Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.2954055Z         {
2022-11-23T01:32:29.2954309Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.2954574Z             {
2022-11-23T01:32:29.2954910Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:32:29.2955321Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:29.2955660Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.2955975Z                 tmp2.store(in_out_ptr0 + (8*i1) + (17*i0));
2022-11-23T01:32:29.2956248Z             }
2022-11-23T01:32:29.2956517Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.2956815Z             for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:29.2957073Z             {
2022-11-23T01:32:29.2957358Z                 auto tmp0 = out_ptr1[i1 + (17*i0)];
2022-11-23T01:32:29.2957657Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:29.2957945Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.2958253Z                 in_out_ptr0[i1 + (17*i0)] = tmp2;
2022-11-23T01:32:29.2958521Z             }
2022-11-23T01:32:29.2958741Z         }
2022-11-23T01:32:29.2958957Z     }
2022-11-23T01:32:29.2959183Z }
2022-11-23T01:32:29.2959413Z ''')
2022-11-23T01:32:29.2959550Z 
2022-11-23T01:32:29.2959557Z 
2022-11-23T01:32:29.2959749Z async_compile.wait(globals())
2022-11-23T01:32:29.2960030Z del async_compile
2022-11-23T01:32:29.2960188Z 
2022-11-23T01:32:29.2960294Z def call(args):
2022-11-23T01:32:29.2960525Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.2960825Z     args.clear()
2022-11-23T01:32:29.2961250Z     buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2961717Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2962199Z     buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2962531Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:29.2962975Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.2963364Z     del arg0_1
2022-11-23T01:32:29.2963608Z     del arg1_1
2022-11-23T01:32:29.2963854Z     return (buf3, )
2022-11-23T01:32:29.2963996Z 
2022-11-23T01:32:29.2964006Z 
2022-11-23T01:32:29.2964116Z if __name__ == "__main__":
2022-11-23T01:32:29.2964431Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.2964798Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.2965276Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.2965760Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8)
2022-11-23T01:32:29.2966136Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.2966337Z 
2022-11-23T01:32:29.2966432Z ok (1.664s)
2022-11-23T01:32:29.2967000Z   test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:21:26,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:32:29.2967725Z [2022-11-23 01:21:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4726
2022-11-23T01:32:29.2968327Z [2022-11-23 01:21:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.2969043Z [2022-11-23 01:21:26,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.2969795Z [2022-11-23 01:21:26,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.2970517Z [2022-11-23 01:21:26,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.2971176Z [2022-11-23 01:21:26,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)]
2022-11-23T01:32:29.2971823Z [2022-11-23 01:21:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)]
2022-11-23T01:32:29.2972496Z [2022-11-23 01:21:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()]
2022-11-23T01:32:29.2973249Z [2022-11-23 01:21:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.2973923Z [2022-11-23 01:21:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.2974517Z [2022-11-23 01:21:26,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:32:29.2975092Z [2022-11-23 01:21:26,545] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.2975667Z [2022-11-23 01:21:26,547] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.2976198Z [2022-11-23 01:21:26,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.2976599Z  __compiled_fn_2 <eval_with_key>.24 opcode, name, target, args, kwargs
2022-11-23T01:32:29.2977040Z placeholder, arg0_1, arg0_1, (), {}
2022-11-23T01:32:29.2977419Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {}
2022-11-23T01:32:29.2977787Z output, output, output, ((squeeze_dim,),), {}
2022-11-23T01:32:29.2978025Z 
2022-11-23T01:32:29.2978495Z [2022-11-23 01:21:26,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T01:32:29.2979147Z 4726           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.2979468Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.2979764Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.2980077Z                6 LOAD_ATTR                3 (squeeze)
2022-11-23T01:32:29.2980385Z                8 LOAD_METHOD              4 (dim)
2022-11-23T01:32:29.2980681Z               10 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:29.2980988Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:29.2981317Z               14 CALL_METHOD              2
2022-11-23T01:32:29.2981600Z               16 RETURN_VALUE
2022-11-23T01:32:29.2981780Z 
2022-11-23T01:32:29.2981885Z  
2022-11-23T01:32:29.2982497Z [2022-11-23 01:21:26,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T01:32:29.2982984Z 4724           0 LOAD_GLOBAL              5 (__compiled_fn_2)
2022-11-23T01:32:29.2983281Z                2 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:29.2983579Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.2983892Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.2984156Z                8 RETURN_VALUE
2022-11-23T01:32:29.2984323Z 
2022-11-23T01:32:29.2984411Z  
2022-11-23T01:32:29.2984793Z [2022-11-23 01:21:26,548] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.2985116Z  - 
2022-11-23T01:32:29.2985422Z             local 'arg0_1' TENSOR_MATCH
2022-11-23T01:32:29.2985689Z             {
2022-11-23T01:32:29.2986036Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.2986370Z                 'code': None,
2022-11-23T01:32:29.2986809Z                 'obj_weakref': <weakref at 0x7f2115f589f0; to 'Tensor' at 0x7f21279b8ef0>
2022-11-23T01:32:29.2987369Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.2987699Z             }
2022-11-23T01:32:29.2987933Z             
2022-11-23T01:32:29.2988184Z  - 
2022-11-23T01:32:29.2988495Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.2988766Z             {
2022-11-23T01:32:29.2989078Z                 'guard_types': None,
2022-11-23T01:32:29.2989391Z                 'code': None,
2022-11-23T01:32:29.2989712Z                 'obj_weakref': None
2022-11-23T01:32:29.2990057Z                 'guarded_class': None
2022-11-23T01:32:29.2990411Z             }
2022-11-23T01:32:29.2990655Z             
2022-11-23T01:32:29.2991155Z [2022-11-23 01:21:26,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2
2022-11-23T01:32:29.2991906Z [2022-11-23 01:21:26,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/py/cpywb4idafnmtdffwdiop7f2n7gaezx277fp3mxd7kq456bhzkxb.py
2022-11-23T01:32:29.2992621Z [2022-11-23 01:21:26,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2
2022-11-23T01:32:29.2992904Z 
2022-11-23T01:32:29.2993041Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.2993324Z import torch
2022-11-23T01:32:29.2993562Z import random
2022-11-23T01:32:29.2993871Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.2994248Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.2994462Z 
2022-11-23T01:32:29.2994580Z aten = torch.ops.aten
2022-11-23T01:32:29.2994911Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.2995273Z async_compile = AsyncCompile()
2022-11-23T01:32:29.2995452Z 
2022-11-23T01:32:29.2995648Z import triton
2022-11-23T01:32:29.2995924Z import triton.language as tl
2022-11-23T01:32:29.2996274Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.2996721Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.2996956Z 
2022-11-23T01:32:29.2996963Z 
2022-11-23T01:32:29.3031543Z async_compile.wait(globals())
2022-11-23T01:32:29.3031911Z del async_compile
2022-11-23T01:32:29.3032074Z 
2022-11-23T01:32:29.3032183Z def call(args):
2022-11-23T01:32:29.3032428Z     arg0_1, = args
2022-11-23T01:32:29.3032681Z     args.clear()
2022-11-23T01:32:29.3032934Z     return (arg0_1, )
2022-11-23T01:32:29.3033083Z 
2022-11-23T01:32:29.3033090Z 
2022-11-23T01:32:29.3033208Z if __name__ == "__main__":
2022-11-23T01:32:29.3033531Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3033909Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3034460Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3034846Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3035047Z 
2022-11-23T01:32:29.3035148Z ok (0.019s)
2022-11-23T01:32:29.3035744Z   test_parallel_num_threads (__main__.CPUReproTests) ... [2022-11-23 01:21:26,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.3036333Z [2022-11-23 01:21:26,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4734
2022-11-23T01:32:29.3036782Z [2022-11-23 01:21:26,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 []
2022-11-23T01:32:29.3037200Z [2022-11-23 01:21:26,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()]
2022-11-23T01:32:29.3037655Z [2022-11-23 01:21:26,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3038121Z [2022-11-23 01:21:26,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3038557Z [2022-11-23 01:21:26,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.3038992Z [2022-11-23 01:21:26,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.3039414Z [2022-11-23 01:21:26,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.3039794Z [2022-11-23 01:21:26,581] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3040103Z  __compiled_fn_3 <eval_with_key>.30 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3040362Z placeholder, x1, x1, (), {}
2022-11-23T01:32:29.3040573Z placeholder, x2, x2, (), {}
2022-11-23T01:32:29.3040870Z call_function, add, <built-in function add>, (x1, x2), {}
2022-11-23T01:32:29.3041124Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.3041262Z 
2022-11-23T01:32:29.3041641Z [2022-11-23 01:21:26,581] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T01:32:29.3041987Z 4734           0 LOAD_FAST                0 (x1)
2022-11-23T01:32:29.3042219Z                2 LOAD_FAST                1 (x2)
2022-11-23T01:32:29.3042419Z                4 BINARY_ADD
2022-11-23T01:32:29.3042622Z                6 RETURN_VALUE
2022-11-23T01:32:29.3042743Z 
2022-11-23T01:32:29.3042812Z  
2022-11-23T01:32:29.3043230Z [2022-11-23 01:21:26,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T01:32:29.3043577Z 4732           0 LOAD_GLOBAL              0 (__compiled_fn_3)
2022-11-23T01:32:29.3043814Z                2 LOAD_FAST                0 (x1)
2022-11-23T01:32:29.3044040Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:32:29.3044254Z                6 CALL_FUNCTION            2
2022-11-23T01:32:29.3044674Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.3044885Z               10 RETURN_VALUE
2022-11-23T01:32:29.3045005Z 
2022-11-23T01:32:29.3045065Z  
2022-11-23T01:32:29.3045349Z [2022-11-23 01:21:26,582] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3045632Z  - 
2022-11-23T01:32:29.3045849Z             local 'x1' TENSOR_MATCH
2022-11-23T01:32:29.3046053Z             {
2022-11-23T01:32:29.3046305Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3046547Z                 'code': None,
2022-11-23T01:32:29.3046878Z                 'obj_weakref': <weakref at 0x7f2115f58f40; to 'Tensor' at 0x7f2115f5b8d0>
2022-11-23T01:32:29.3047297Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3047561Z             }
2022-11-23T01:32:29.3047727Z             
2022-11-23T01:32:29.3047910Z  - 
2022-11-23T01:32:29.3048131Z             local 'x2' TENSOR_MATCH
2022-11-23T01:32:29.3048317Z             {
2022-11-23T01:32:29.3048570Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3048820Z                 'code': None,
2022-11-23T01:32:29.3049140Z                 'obj_weakref': <weakref at 0x7f21279b8860; to 'Tensor' at 0x7f2115f5af70>
2022-11-23T01:32:29.3049556Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3049813Z             }
2022-11-23T01:32:29.3049980Z             
2022-11-23T01:32:29.3050343Z [2022-11-23 01:21:26,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3
2022-11-23T01:32:29.3050915Z [2022-11-23 01:21:28,159] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/de/cdeuvvqacsosbvbhmhijnavuplzvowmntrlvo3rgzwpzdif2ry5g.py
2022-11-23T01:32:29.3051465Z [2022-11-23 01:21:28,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3
2022-11-23T01:32:29.3051674Z 
2022-11-23T01:32:29.3051768Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3051983Z import torch
2022-11-23T01:32:29.3052169Z import random
2022-11-23T01:32:29.3052394Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3052675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3052845Z 
2022-11-23T01:32:29.3052932Z aten = torch.ops.aten
2022-11-23T01:32:29.3053193Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3053453Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3053589Z 
2022-11-23T01:32:29.3053666Z import triton
2022-11-23T01:32:29.3053870Z import triton.language as tl
2022-11-23T01:32:29.3054122Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3054423Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3054598Z 
2022-11-23T01:32:29.3054603Z 
2022-11-23T01:32:29.3054744Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3055086Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3055443Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3055709Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.3055963Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.3056164Z {
2022-11-23T01:32:29.3056348Z     for(long i0=0; i0<25; i0+=1)
2022-11-23T01:32:29.3056544Z     {
2022-11-23T01:32:29.3056793Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3057093Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.3057337Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3057545Z         tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3057741Z     }
2022-11-23T01:32:29.3057928Z     #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.3058136Z     for(long i0=200; i0<200; i0+=1)
2022-11-23T01:32:29.3058329Z     {
2022-11-23T01:32:29.3058509Z         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3058746Z         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.3059215Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3059424Z         out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.3059603Z     }
2022-11-23T01:32:29.3059878Z }
2022-11-23T01:32:29.3060147Z ''')
2022-11-23T01:32:29.3060285Z 
2022-11-23T01:32:29.3060292Z 
2022-11-23T01:32:29.3060408Z async_compile.wait(globals())
2022-11-23T01:32:29.3060690Z del async_compile
2022-11-23T01:32:29.3060852Z 
2022-11-23T01:32:29.3060959Z def call(args):
2022-11-23T01:32:29.3061225Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.3061468Z     args.clear()
2022-11-23T01:32:29.3061905Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3062332Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.3062669Z     del arg0_1
2022-11-23T01:32:29.3062914Z     del arg1_1
2022-11-23T01:32:29.3063166Z     return (buf0, )
2022-11-23T01:32:29.3063322Z 
2022-11-23T01:32:29.3063328Z 
2022-11-23T01:32:29.3063433Z if __name__ == "__main__":
2022-11-23T01:32:29.3063753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3064130Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3064899Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3065423Z     arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3065794Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.3066003Z 
2022-11-23T01:32:29.3066102Z ok (1.619s)
2022-11-23T01:32:29.3066676Z   test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:21:28,177] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.3067468Z [2022-11-23 01:21:29,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gw/cgwz5xa4ww6o5ka6iafxsdex7okretp65rnpiqmbqqp4ibbmvtj2.py
2022-11-23T01:32:29.3068181Z [2022-11-23 01:21:29,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.3068460Z 
2022-11-23T01:32:29.3068587Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3068862Z import torch
2022-11-23T01:32:29.3069115Z import random
2022-11-23T01:32:29.3069421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3069778Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3069987Z 
2022-11-23T01:32:29.3070101Z aten = torch.ops.aten
2022-11-23T01:32:29.3070551Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3071686Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3071916Z 
2022-11-23T01:32:29.3072025Z import triton
2022-11-23T01:32:29.3072300Z import triton.language as tl
2022-11-23T01:32:29.3072640Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3073024Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3073257Z 
2022-11-23T01:32:29.3073268Z 
2022-11-23T01:32:29.3073477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3073927Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3074504Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3074830Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.3075100Z {
2022-11-23T01:32:29.3075346Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3075615Z     {
2022-11-23T01:32:29.3075841Z         #pragma omp for 
2022-11-23T01:32:29.3076118Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.3076356Z         {
2022-11-23T01:32:29.3076677Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3077119Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:32:29.3077680Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:32:29.3078121Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:29.3078420Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3078677Z         }
2022-11-23T01:32:29.3079000Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3079298Z         for(long i0=16; i0<18; i0+=1)
2022-11-23T01:32:29.3079550Z         {
2022-11-23T01:32:29.3079792Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3080077Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:29.3080365Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:29.3080700Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:29.3080973Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.3081225Z         }
2022-11-23T01:32:29.3081435Z     }
2022-11-23T01:32:29.3081646Z }
2022-11-23T01:32:29.3081893Z ''')
2022-11-23T01:32:29.3082013Z 
2022-11-23T01:32:29.3082020Z 
2022-11-23T01:32:29.3082146Z async_compile.wait(globals())
2022-11-23T01:32:29.3082421Z del async_compile
2022-11-23T01:32:29.3082579Z 
2022-11-23T01:32:29.3082679Z def call(args):
2022-11-23T01:32:29.3082913Z     x_1, = args
2022-11-23T01:32:29.3083156Z     args.clear()
2022-11-23T01:32:29.3083566Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3083958Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.3084268Z     del x_1
2022-11-23T01:32:29.3084506Z     return (buf0, )
2022-11-23T01:32:29.3084657Z 
2022-11-23T01:32:29.3084664Z 
2022-11-23T01:32:29.3084779Z if __name__ == "__main__":
2022-11-23T01:32:29.3085073Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3085444Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3085918Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3086261Z     print_performance(lambda: call([x_1]))
2022-11-23T01:32:29.3086448Z 
2022-11-23T01:32:29.3086553Z ok (1.599s)
2022-11-23T01:32:29.3086863Z   test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.001s)
2022-11-23T01:32:29.3087509Z   test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.3088260Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4783
2022-11-23T01:32:29.3088866Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.3089606Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.3090379Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.3091126Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.3091995Z [2022-11-23 01:21:29,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3092681Z [2022-11-23 01:21:29,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3093277Z [2022-11-23 01:21:29,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.3093832Z [2022-11-23 01:21:29,811] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.3094412Z [2022-11-23 01:21:29,814] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.3094929Z [2022-11-23 01:21:29,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3095389Z  __compiled_fn_4 <eval_with_key>.37 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3095722Z placeholder, x, x, (), {}
2022-11-23T01:32:29.3096202Z call_function, softmax, <built-in method softmax of type object at 0x7f209c394c60>, (x, -1), {}
2022-11-23T01:32:29.3096632Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:29.3096819Z 
2022-11-23T01:32:29.3097259Z [2022-11-23 01:21:29,815] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T01:32:29.3097705Z 4783           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3098016Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:29.3098323Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3098681Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:29.3099159Z                8 CALL_METHOD              2
2022-11-23T01:32:29.3099438Z               10 RETURN_VALUE
2022-11-23T01:32:29.3099591Z 
2022-11-23T01:32:29.3099676Z  
2022-11-23T01:32:29.3100241Z [2022-11-23 01:21:29,815] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T01:32:29.3100711Z 4782           0 LOAD_GLOBAL              2 (__compiled_fn_4)
2022-11-23T01:32:29.3101020Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3101295Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.3101606Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.3101928Z                8 RETURN_VALUE
2022-11-23T01:32:29.3102090Z 
2022-11-23T01:32:29.3102175Z  
2022-11-23T01:32:29.3102561Z [2022-11-23 01:21:29,816] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3102868Z  - 
2022-11-23T01:32:29.3103209Z              'symbolic_shape_expression' SYMBOL_MATCH
2022-11-23T01:32:29.3103502Z             {
2022-11-23T01:32:29.3103820Z                 'guard_types': None,
2022-11-23T01:32:29.3104217Z                 'code': (Eq(x.size()[1], 10) and x.size()[1] == x.stride()[0]),
2022-11-23T01:32:29.3104588Z                 'obj_weakref': None
2022-11-23T01:32:29.3104933Z                 'guarded_class': None
2022-11-23T01:32:29.3105201Z             }
2022-11-23T01:32:29.3105409Z             
2022-11-23T01:32:29.3105653Z  - 
2022-11-23T01:32:29.3105953Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.3106206Z             {
2022-11-23T01:32:29.3106543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3106879Z                 'code': None,
2022-11-23T01:32:29.3107303Z                 'obj_weakref': <weakref at 0x7f2115e4d760; to 'Tensor' at 0x7f212794ae30>
2022-11-23T01:32:29.3107853Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3108193Z             }
2022-11-23T01:32:29.3108417Z             
2022-11-23T01:32:29.3108668Z  - 
2022-11-23T01:32:29.3108985Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.3109249Z             {
2022-11-23T01:32:29.3109566Z                 'guard_types': None,
2022-11-23T01:32:29.3109886Z                 'code': None,
2022-11-23T01:32:29.3110195Z                 'obj_weakref': None
2022-11-23T01:32:29.3110637Z                 'guarded_class': None
2022-11-23T01:32:29.3110895Z             }
2022-11-23T01:32:29.3111118Z             
2022-11-23T01:32:29.3111612Z [2022-11-23 01:21:29,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4
2022-11-23T01:32:29.3112344Z [2022-11-23 01:21:31,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p2/cp2cf4xnicwsee3ipwceu7g34x5y2mfvcaic7ecym5ayudmbc7ux.py
2022-11-23T01:32:29.3113052Z [2022-11-23 01:21:31,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4
2022-11-23T01:32:29.3113320Z 
2022-11-23T01:32:29.3113446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3113728Z import torch
2022-11-23T01:32:29.3113981Z import random
2022-11-23T01:32:29.3114346Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3114748Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3114962Z 
2022-11-23T01:32:29.3115119Z aten = torch.ops.aten
2022-11-23T01:32:29.3115471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3115814Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3115988Z 
2022-11-23T01:32:29.3116091Z import triton
2022-11-23T01:32:29.3116364Z import triton.language as tl
2022-11-23T01:32:29.3161112Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3161540Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3161774Z 
2022-11-23T01:32:29.3161780Z 
2022-11-23T01:32:29.3161989Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3162437Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3162880Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.3163244Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3163570Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.3163872Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.3164180Z                        const long ks0,
2022-11-23T01:32:29.3164465Z                        const long ks1)
2022-11-23T01:32:29.3164705Z {
2022-11-23T01:32:29.3164944Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:29.3165254Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3165508Z     {
2022-11-23T01:32:29.3165748Z         #pragma omp for 
2022-11-23T01:32:29.3166021Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:29.3166274Z         {
2022-11-23T01:32:29.3166492Z             {
2022-11-23T01:32:29.3166727Z                 {
2022-11-23T01:32:29.3167188Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.3167552Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:29.3167827Z                     {
2022-11-23T01:32:29.3168070Z                         {
2022-11-23T01:32:29.3168353Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:32:29.3168675Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:29.3168948Z                         }
2022-11-23T01:32:29.3169170Z                     }
2022-11-23T01:32:29.3169437Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.3169692Z                 }
2022-11-23T01:32:29.3169917Z             }
2022-11-23T01:32:29.3170135Z         }
2022-11-23T01:32:29.3170385Z         #pragma omp for 
2022-11-23T01:32:29.3170647Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:29.3170911Z         {
2022-11-23T01:32:29.3171129Z             {
2022-11-23T01:32:29.3171389Z                 {
2022-11-23T01:32:29.3171644Z                     float tmp4 = 0;
2022-11-23T01:32:29.3171931Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:29.3172176Z                     {
2022-11-23T01:32:29.3172408Z                         {
2022-11-23T01:32:29.3172695Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:32:29.3172834Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:29.3173039Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.3173185Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:29.3173324Z                             out_ptr1[i1 + (i0*ks1)] = tmp3;
2022-11-23T01:32:29.3173447Z                             tmp4 += tmp3;
2022-11-23T01:32:29.3173550Z                         }
2022-11-23T01:32:29.3173651Z                     }
2022-11-23T01:32:29.3173775Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.3173864Z                 }
2022-11-23T01:32:29.3173961Z             }
2022-11-23T01:32:29.3174056Z         }
2022-11-23T01:32:29.3174196Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.3174317Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:29.3174507Z         {
2022-11-23T01:32:29.3174640Z             for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:29.3174723Z             {
2022-11-23T01:32:29.3174821Z                 {
2022-11-23T01:32:29.3174962Z                     {
2022-11-23T01:32:29.3175114Z                         auto tmp0 = out_ptr1[i1 + (i0*ks1)];
2022-11-23T01:32:29.3175250Z                         auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:29.3175384Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.3175529Z                         in_out_ptr0[i1 + (i0*ks1)] = tmp2;
2022-11-23T01:32:29.3175617Z                     }
2022-11-23T01:32:29.3175711Z                 }
2022-11-23T01:32:29.3175807Z             }
2022-11-23T01:32:29.3175901Z         }
2022-11-23T01:32:29.3175992Z     }
2022-11-23T01:32:29.3176088Z }
2022-11-23T01:32:29.3176200Z ''')
2022-11-23T01:32:29.3176218Z 
2022-11-23T01:32:29.3176224Z 
2022-11-23T01:32:29.3176345Z async_compile.wait(globals())
2022-11-23T01:32:29.3176468Z del async_compile
2022-11-23T01:32:29.3176480Z 
2022-11-23T01:32:29.3176583Z def call(args):
2022-11-23T01:32:29.3176687Z     arg0_1, = args
2022-11-23T01:32:29.3176790Z     args.clear()
2022-11-23T01:32:29.3176905Z     arg0_1_size = arg0_1.size()
2022-11-23T01:32:29.3177014Z     s0 = arg0_1_size[0]
2022-11-23T01:32:29.3177106Z     s1 = arg0_1_size[1]
2022-11-23T01:32:29.3177394Z     buf0 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3177659Z     buf1 = empty_strided((s0, s1), (s1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3177932Z     buf2 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3178052Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:29.3178338Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_long(s0), c_long(s1))
2022-11-23T01:32:29.3178437Z     del arg0_1
2022-11-23T01:32:29.3178537Z     return (buf3, )
2022-11-23T01:32:29.3178544Z 
2022-11-23T01:32:29.3178554Z 
2022-11-23T01:32:29.3178655Z if __name__ == "__main__":
2022-11-23T01:32:29.3178976Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3179159Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3179442Z     arg0_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3179600Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3179607Z 
2022-11-23T01:32:29.3179706Z ok (1.662s)
2022-11-23T01:32:29.3180166Z   test_vec_kernel_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:21:31,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.3180651Z [2022-11-23 01:21:32,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccvprbqunoeihxgwcmq4s44mtfpq5cjbe5vc53oy6q2ubha3jwro.py
2022-11-23T01:32:29.3181007Z [2022-11-23 01:21:32,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.3181344Z [2022-11-23 01:21:32,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.3181848Z [2022-11-23 01:21:33,690] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ok/cokbih25g2lk2usqmw4heny5xcbd6qcw5nre6tcuiryg7kz2h6gq.py
2022-11-23T01:32:29.3182205Z [2022-11-23 01:21:33,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.3182556Z [2022-11-23 01:21:33,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.3182564Z 
2022-11-23T01:32:29.3182704Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3182810Z import torch
2022-11-23T01:32:29.3182910Z import random
2022-11-23T01:32:29.3183070Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3183233Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3183240Z 
2022-11-23T01:32:29.3183464Z aten = torch.ops.aten
2022-11-23T01:32:29.3183652Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3183781Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3183788Z 
2022-11-23T01:32:29.3183940Z import triton
2022-11-23T01:32:29.3184067Z import triton.language as tl
2022-11-23T01:32:29.3184244Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3184428Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3184435Z 
2022-11-23T01:32:29.3184440Z 
2022-11-23T01:32:29.3184624Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3184887Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3185059Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.3185208Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3185352Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:29.3185444Z {
2022-11-23T01:32:29.3185590Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3185680Z     {
2022-11-23T01:32:29.3185778Z         #pragma omp for 
2022-11-23T01:32:29.3185901Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:32:29.3185998Z         {
2022-11-23T01:32:29.3186087Z             {
2022-11-23T01:32:29.3186182Z                 {
2022-11-23T01:32:29.3186310Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3186431Z                     auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:29.3186577Z                     auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:29.3186719Z                     auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:29.3186904Z                     auto tmp3 = -tmp2;
2022-11-23T01:32:29.3187036Z                     auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3187244Z                     auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:29.3187376Z                     auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:29.3187513Z                     auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:29.3187646Z                     auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:29.3187785Z                     auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:29.3187929Z                     auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:29.3188065Z                     auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:29.3188267Z                     auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:29.3188399Z                     auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:29.3188529Z                     auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:29.3188652Z                     auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3188780Z                     auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:29.3188909Z                     auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:29.3189039Z                     auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:29.3189182Z                     auto tmp20 = std::log(tmp19);
2022-11-23T01:32:29.3189326Z                     auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:29.3189468Z                     auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:29.3189601Z                     auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:29.3189734Z                     auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:29.3189890Z                     auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:29.3190026Z                     auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:29.3190160Z                     auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:29.3190453Z                     auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:29.3190587Z                     auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:29.3190719Z                     in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:29.3190808Z                 }
2022-11-23T01:32:29.3190901Z             }
2022-11-23T01:32:29.3190996Z         }
2022-11-23T01:32:29.3191088Z     }
2022-11-23T01:32:29.3191186Z }
2022-11-23T01:32:29.3191304Z ''')
2022-11-23T01:32:29.3191310Z 
2022-11-23T01:32:29.3191316Z 
2022-11-23T01:32:29.3191504Z async_compile.wait(globals())
2022-11-23T01:32:29.3191601Z del async_compile
2022-11-23T01:32:29.3191609Z 
2022-11-23T01:32:29.3191711Z def call(args):
2022-11-23T01:32:29.3191850Z     x1_1, x2_1 = args
2022-11-23T01:32:29.3191995Z     args.clear()
2022-11-23T01:32:29.3192271Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3192394Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.3192615Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:29.3192706Z     del x1_1
2022-11-23T01:32:29.3192803Z     del x2_1
2022-11-23T01:32:29.3192910Z     return (buf1, )
2022-11-23T01:32:29.3192918Z 
2022-11-23T01:32:29.3192924Z 
2022-11-23T01:32:29.3193037Z if __name__ == "__main__":
2022-11-23T01:32:29.3193198Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3193372Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3193651Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3193925Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3194073Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:29.3194085Z 
2022-11-23T01:32:29.3194102Z 
2022-11-23T01:32:29.3194228Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3194336Z import torch
2022-11-23T01:32:29.3194441Z import random
2022-11-23T01:32:29.3194608Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3194781Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3194788Z 
2022-11-23T01:32:29.3194905Z aten = torch.ops.aten
2022-11-23T01:32:29.3195088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3195212Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3195220Z 
2022-11-23T01:32:29.3195319Z import triton
2022-11-23T01:32:29.3195446Z import triton.language as tl
2022-11-23T01:32:29.3195622Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3195815Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3195822Z 
2022-11-23T01:32:29.3195828Z 
2022-11-23T01:32:29.3196026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3196307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3196475Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.3196618Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3196768Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:29.3196862Z {
2022-11-23T01:32:29.3197004Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3197100Z     {
2022-11-23T01:32:29.3197214Z         #pragma omp for 
2022-11-23T01:32:29.3197335Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T01:32:29.3197420Z         {
2022-11-23T01:32:29.3197615Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3197810Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.3197937Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:29.3198057Z             auto tmp2 = tmp1.sin();
2022-11-23T01:32:29.3198182Z             auto tmp3 = tmp2.neg();
2022-11-23T01:32:29.3198306Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3198487Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:32:29.3198673Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:32:29.3198799Z             auto tmp7 = tmp6.cos();
2022-11-23T01:32:29.3198922Z             auto tmp8 = tmp7.exp();
2022-11-23T01:32:29.3199048Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:32:29.3199174Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:32:29.3199368Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:32:29.3199494Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:29.3199671Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:32:29.3199801Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:29.3199926Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3200049Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:32:29.3200211Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:29.3200338Z             auto tmp19 = tmp18.log();
2022-11-23T01:32:29.3200464Z             auto tmp20 = tmp19.floor();
2022-11-23T01:32:29.3200583Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:32:29.3200709Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:32:29.3200842Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:32:29.3200979Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:32:29.3201222Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:32:29.3201464Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:32:29.3201668Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:32:29.3201797Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:32:29.3201928Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.3202026Z         }
2022-11-23T01:32:29.3202163Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3202278Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T01:32:29.3202372Z         {
2022-11-23T01:32:29.3202493Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3202606Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:29.3202733Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:29.3202859Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:29.3210411Z             auto tmp3 = -tmp2;
2022-11-23T01:32:29.3210537Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3210733Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:29.3210856Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:29.3210987Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:29.3211112Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:29.3211248Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:29.3211385Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:29.3211510Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:29.3211691Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:29.3211820Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:29.3211941Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:29.3212059Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3212177Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:29.3212299Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:29.3212421Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:29.3212562Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:32:29.3212702Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:29.3212840Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:29.3212971Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:29.3213113Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:29.3213266Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:29.3213395Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:29.3213530Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:29.3213721Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:29.3213840Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:29.3213951Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:29.3214045Z         }
2022-11-23T01:32:29.3214137Z     }
2022-11-23T01:32:29.3214226Z }
2022-11-23T01:32:29.3214341Z ''')
2022-11-23T01:32:29.3214348Z 
2022-11-23T01:32:29.3214355Z 
2022-11-23T01:32:29.3214492Z async_compile.wait(globals())
2022-11-23T01:32:29.3214598Z del async_compile
2022-11-23T01:32:29.3214605Z 
2022-11-23T01:32:29.3214709Z def call(args):
2022-11-23T01:32:29.3214802Z     x1_1, x2_1 = args
2022-11-23T01:32:29.3214906Z     args.clear()
2022-11-23T01:32:29.3215267Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3215395Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.3215618Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:29.3215753Z     del x1_1
2022-11-23T01:32:29.3215848Z     del x2_1
2022-11-23T01:32:29.3215941Z     return (buf1, )
2022-11-23T01:32:29.3215948Z 
2022-11-23T01:32:29.3215954Z 
2022-11-23T01:32:29.3216062Z if __name__ == "__main__":
2022-11-23T01:32:29.3216224Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3216396Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3216672Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3216941Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3217099Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:29.3217107Z 
2022-11-23T01:32:29.3217604Z [2022-11-23 01:21:35,341] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uc/cuc46wdmkmpmfftcqmnj5mpzoc6qucsdcigp2c7di5jtvc2nsaxk.py
2022-11-23T01:32:29.3217957Z [2022-11-23 01:21:35,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.3218319Z [2022-11-23 01:21:35,360] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:29.3218328Z 
2022-11-23T01:32:29.3218466Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3218569Z import torch
2022-11-23T01:32:29.3218675Z import random
2022-11-23T01:32:29.3219013Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3219186Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3219194Z 
2022-11-23T01:32:29.3219305Z aten = torch.ops.aten
2022-11-23T01:32:29.3219474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3219605Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3219616Z 
2022-11-23T01:32:29.3219723Z import triton
2022-11-23T01:32:29.3219851Z import triton.language as tl
2022-11-23T01:32:29.3220024Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3220220Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3220227Z 
2022-11-23T01:32:29.3220233Z 
2022-11-23T01:32:29.3220423Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3220693Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3220862Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.3220998Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3221144Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:29.3221232Z {
2022-11-23T01:32:29.3221353Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:29.3221491Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3221580Z     {
2022-11-23T01:32:29.3221686Z         #pragma omp for 
2022-11-23T01:32:29.3221802Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:29.3221897Z         {
2022-11-23T01:32:29.3222014Z             #pragma GCC ivdep
2022-11-23T01:32:29.3222141Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:29.3222236Z             {
2022-11-23T01:32:29.3222331Z                 {
2022-11-23T01:32:29.3222421Z                     {
2022-11-23T01:32:29.3222563Z                         auto tmp0 = in_ptr0[i0 + (20*i1)];
2022-11-23T01:32:29.3222709Z                         auto tmp12 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:29.3222857Z                         auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:29.3222996Z                         auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:29.3223180Z                         auto tmp3 = -tmp2;
2022-11-23T01:32:29.3223313Z                         auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3223526Z                         auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:29.3223726Z                         auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:29.3223864Z                         auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:29.3224008Z                         auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:29.3224193Z                         auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:29.3224335Z                         auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:29.3224473Z                         auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:29.3224677Z                         auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:29.3224798Z                         auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:29.3224925Z                         auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:29.3225056Z                         auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3225184Z                         auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:29.3225317Z                         auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:29.3225446Z                         auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:29.3225587Z                         out_ptr0[i1 + (10*i0)] = tmp19;
2022-11-23T01:32:29.3225683Z                     }
2022-11-23T01:32:29.3225770Z                 }
2022-11-23T01:32:29.3225867Z             }
2022-11-23T01:32:29.3225962Z         }
2022-11-23T01:32:29.3226074Z         #pragma omp for 
2022-11-23T01:32:29.3226190Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T01:32:29.3226280Z         {
2022-11-23T01:32:29.3226452Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3226636Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.3226756Z             auto tmp1 = tmp0.log();
2022-11-23T01:32:29.3226884Z             auto tmp2 = tmp1.floor();
2022-11-23T01:32:29.3227002Z             auto tmp3 = tmp2.ceil();
2022-11-23T01:32:29.3227121Z             auto tmp4 = tmp3.trunc();
2022-11-23T01:32:29.3227490Z             auto tmp5 = tmp4.lgamma();
2022-11-23T01:32:29.3227641Z             auto tmp7 = tmp5.fmod(tmp6);
2022-11-23T01:32:29.3227866Z             auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7);
2022-11-23T01:32:29.3228096Z             auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0));
2022-11-23T01:32:29.3228297Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:29.3228419Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:32:29.3228561Z             tmp11.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.3228654Z         }
2022-11-23T01:32:29.3228793Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3228913Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T01:32:29.3228994Z         {
2022-11-23T01:32:29.3229117Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:29.3229242Z             auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:29.3229367Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:32:29.3229495Z             auto tmp2 = std::floor(tmp1);
2022-11-23T01:32:29.3229630Z             auto tmp3 = std::ceil(tmp2);
2022-11-23T01:32:29.3229766Z             auto tmp4 = std::trunc(tmp3);
2022-11-23T01:32:29.3229893Z             auto tmp5 = std::lgamma(tmp4);
2022-11-23T01:32:29.3230040Z             auto tmp7 = std::fmod(tmp5, tmp6);
2022-11-23T01:32:29.3230164Z             auto tmp8 = tmp7 > 0 ? 1 : 0;
2022-11-23T01:32:29.3230371Z             auto tmp9 = tmp7 < 0 ? 1 : 0;
2022-11-23T01:32:29.3230563Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:29.3230687Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:32:29.3230810Z             in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:29.3230891Z         }
2022-11-23T01:32:29.3230988Z     }
2022-11-23T01:32:29.3231083Z }
2022-11-23T01:32:29.3231204Z ''')
2022-11-23T01:32:29.3231212Z 
2022-11-23T01:32:29.3231218Z 
2022-11-23T01:32:29.3231352Z async_compile.wait(globals())
2022-11-23T01:32:29.3231461Z del async_compile
2022-11-23T01:32:29.3231469Z 
2022-11-23T01:32:29.3231573Z def call(args):
2022-11-23T01:32:29.3231735Z     x1_1, x2_1 = args
2022-11-23T01:32:29.3231849Z     args.clear()
2022-11-23T01:32:29.3232187Z     buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3232306Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.3232562Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:29.3232666Z     del x1_1
2022-11-23T01:32:29.3232763Z     del x2_1
2022-11-23T01:32:29.3232856Z     return (buf1, )
2022-11-23T01:32:29.3232881Z 
2022-11-23T01:32:29.3232888Z 
2022-11-23T01:32:29.3232989Z if __name__ == "__main__":
2022-11-23T01:32:29.3233150Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3233327Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3233602Z     x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3233870Z     x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3234031Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:29.3234039Z 
2022-11-23T01:32:29.3234518Z [2022-11-23 01:21:36,946] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h3/ch3y74cuj3e74x4daztwznar4leyghgaezoftxx4odza2mt6jcvk.py
2022-11-23T01:32:29.3234888Z [2022-11-23 01:21:36,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:29.3234896Z 
2022-11-23T01:32:29.3235035Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3235130Z import torch
2022-11-23T01:32:29.3235235Z import random
2022-11-23T01:32:29.3235395Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3235566Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3235572Z 
2022-11-23T01:32:29.3235685Z aten = torch.ops.aten
2022-11-23T01:32:29.3235872Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3236010Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3236018Z 
2022-11-23T01:32:29.3236116Z import triton
2022-11-23T01:32:29.3236244Z import triton.language as tl
2022-11-23T01:32:29.3236422Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3236763Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3236776Z 
2022-11-23T01:32:29.3236782Z 
2022-11-23T01:32:29.3236980Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3237264Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3237427Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.3237579Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3237719Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:29.3237808Z {
2022-11-23T01:32:29.3237951Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3238043Z     {
2022-11-23T01:32:29.3238153Z         #pragma omp for 
2022-11-23T01:32:29.3238279Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3238381Z         {
2022-11-23T01:32:29.3238563Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3238746Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.3238875Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:29.3238997Z             auto tmp2 = tmp1.sin();
2022-11-23T01:32:29.3239117Z             auto tmp3 = tmp2.neg();
2022-11-23T01:32:29.3239237Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3239428Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:32:29.3239611Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:32:29.3239720Z             auto tmp7 = tmp6.cos();
2022-11-23T01:32:29.3239836Z             auto tmp8 = tmp7.exp();
2022-11-23T01:32:29.3239963Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:32:29.3240085Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:32:29.3240351Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:32:29.3240487Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:29.3240611Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:32:29.3240723Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:29.3240881Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3241004Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:32:29.3241122Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:29.3241248Z             auto tmp19 = tmp18.log();
2022-11-23T01:32:29.3241370Z             auto tmp20 = tmp19.floor();
2022-11-23T01:32:29.3241495Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:32:29.3241608Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:32:29.3241742Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:32:29.3241875Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:32:29.3242107Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:32:29.3242345Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:32:29.3242537Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:32:29.3242665Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:32:29.3242801Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.3242884Z         }
2022-11-23T01:32:29.3243022Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3243151Z         for(long i0=64; i0<70; i0+=1)
2022-11-23T01:32:29.3243246Z         {
2022-11-23T01:32:29.3243366Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3243489Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:29.3243619Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:29.3243737Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:29.3243908Z             auto tmp3 = -tmp2;
2022-11-23T01:32:29.3244032Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:29.3244222Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:29.3244352Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:29.3244475Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:29.3244607Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:29.3244726Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:29.3244858Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:29.3244983Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:29.3245173Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:29.3245301Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:29.3245426Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:29.3245544Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:29.3245657Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:29.3245785Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:29.3245904Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:29.3246038Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:32:29.3246182Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:29.3246317Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:29.3246461Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:29.3246606Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:29.3246754Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:29.3246883Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:29.3247006Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:29.3247189Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:29.3247312Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:29.3247436Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:29.3247538Z         }
2022-11-23T01:32:29.3247622Z     }
2022-11-23T01:32:29.3247720Z }
2022-11-23T01:32:29.3247843Z ''')
2022-11-23T01:32:29.3247851Z 
2022-11-23T01:32:29.3247857Z 
2022-11-23T01:32:29.3247988Z async_compile.wait(globals())
2022-11-23T01:32:29.3248092Z del async_compile
2022-11-23T01:32:29.3248100Z 
2022-11-23T01:32:29.3248283Z def call(args):
2022-11-23T01:32:29.3248387Z     x1_1, x2_1 = args
2022-11-23T01:32:29.3248479Z     args.clear()
2022-11-23T01:32:29.3248761Z     buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3248931Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.3249152Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:29.3249253Z     del x1_1
2022-11-23T01:32:29.3249350Z     del x2_1
2022-11-23T01:32:29.3249456Z     return (buf1, )
2022-11-23T01:32:29.3249464Z 
2022-11-23T01:32:29.3249470Z 
2022-11-23T01:32:29.3249588Z if __name__ == "__main__":
2022-11-23T01:32:29.3249741Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3249922Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3250199Z     x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3250473Z     x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3250636Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:29.3250644Z 
2022-11-23T01:32:29.3250749Z ok (5.513s)
2022-11-23T01:32:29.3251162Z   test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3251606Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3251900Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3252250Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3252636Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3253080Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3253549Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3253997Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3254506Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664> 
2022-11-23T01:32:29.3254648Z  665           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.3254786Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3254925Z               4 LOAD_METHOD              1 (abs)
2022-11-23T01:32:29.3255049Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:29.3255182Z               8 CALL_METHOD              1
2022-11-23T01:32:29.3255316Z              10 LOAD_CONST               1 (1)
2022-11-23T01:32:29.3255428Z              12 BINARY_ADD
2022-11-23T01:32:29.3255552Z              14 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.3255689Z              16 BUILD_TUPLE              1
2022-11-23T01:32:29.3255805Z              18 RETURN_VALUE
2022-11-23T01:32:29.3255883Z  
2022-11-23T01:32:29.3255891Z 
2022-11-23T01:32:29.3256355Z [2022-11-23 01:21:36,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665
2022-11-23T01:32:29.3256659Z [2022-11-23 01:21:36,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.3257023Z [2022-11-23 01:21:36,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.3257657Z [2022-11-23 01:21:36,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.3258158Z [2022-11-23 01:21:36,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.3258717Z [2022-11-23 01:21:36,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.3259382Z [2022-11-23 01:21:36,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3259806Z [2022-11-23 01:21:36,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3260203Z [2022-11-23 01:21:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3260536Z [2022-11-23 01:21:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.3260882Z [2022-11-23 01:21:36,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3261395Z [2022-11-23 01:21:36,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664>
2022-11-23T01:32:29.3261740Z [2022-11-23 01:21:36,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3262120Z [2022-11-23 01:21:36,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3262475Z [2022-11-23 01:21:36,959] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3262831Z [2022-11-23 01:21:36,961] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3263092Z [2022-11-23 01:21:36,962] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3263286Z  __compiled_fn_5 <eval_with_key>.47 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3263417Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3263744Z call_function, abs_1, <built-in method abs of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.3264005Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T01:32:29.3264283Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T01:32:29.3264434Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:29.3264442Z 
2022-11-23T01:32:29.3264916Z [2022-11-23 01:21:36,962] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3265062Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3265202Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3265342Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3265469Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3265600Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3265740Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3265853Z              12 RETURN_VALUE
2022-11-23T01:32:29.3265861Z 
2022-11-23T01:32:29.3265958Z  
2022-11-23T01:32:29.3266430Z [2022-11-23 01:21:36,962] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3266595Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_5)
2022-11-23T01:32:29.3266721Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3266858Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3266978Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3267113Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3267349Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3267511Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3267642Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3267805Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3267929Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.3268040Z              20 RETURN_VALUE
2022-11-23T01:32:29.3268048Z 
2022-11-23T01:32:29.3268143Z  
2022-11-23T01:32:29.3268419Z [2022-11-23 01:21:36,963] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3268539Z  - 
2022-11-23T01:32:29.3268715Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3268816Z             {
2022-11-23T01:32:29.3269017Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3269298Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3269481Z                 'obj_weakref': None
2022-11-23T01:32:29.3269799Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3269901Z             }
2022-11-23T01:32:29.3269998Z             
2022-11-23T01:32:29.3270111Z  - 
2022-11-23T01:32:29.3270406Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3270517Z             {
2022-11-23T01:32:29.3270730Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3270896Z                 'code': None,
2022-11-23T01:32:29.3271196Z                 'obj_weakref': <weakref at 0x7f2115c427f0; to 'Tensor' at 0x7f2127a0ef70>
2022-11-23T01:32:29.3271564Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3271665Z             }
2022-11-23T01:32:29.3271754Z             
2022-11-23T01:32:29.3271867Z  - 
2022-11-23T01:32:29.3272064Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3272165Z             {
2022-11-23T01:32:29.3272368Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3272624Z                 'code': ['___check_obj_id(model, 139780073971792)'],
2022-11-23T01:32:29.3272804Z                 'obj_weakref': None
2022-11-23T01:32:29.3273120Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3273224Z             }
2022-11-23T01:32:29.3273321Z             
2022-11-23T01:32:29.3273433Z  - 
2022-11-23T01:32:29.3273613Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3273717Z             {
2022-11-23T01:32:29.3273923Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3274226Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3274410Z                 'obj_weakref': None
2022-11-23T01:32:29.3274728Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3274829Z             }
2022-11-23T01:32:29.3274922Z             
2022-11-23T01:32:29.3275035Z  - 
2022-11-23T01:32:29.3275243Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.3275329Z             {
2022-11-23T01:32:29.3275515Z                 'guard_types': None,
2022-11-23T01:32:29.3275675Z                 'code': None,
2022-11-23T01:32:29.3275860Z                 'obj_weakref': None
2022-11-23T01:32:29.3276039Z                 'guarded_class': None
2022-11-23T01:32:29.3276146Z             }
2022-11-23T01:32:29.3276248Z             
2022-11-23T01:32:29.3276603Z [2022-11-23 01:21:36,967] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5
2022-11-23T01:32:29.3277132Z [2022-11-23 01:21:38,568] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ag/cag75prkzbrm3ddagfdxdocdv3vunjykdni4qjocaudp366o4x5w.py
2022-11-23T01:32:29.3277510Z [2022-11-23 01:21:38,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5
2022-11-23T01:32:29.3277519Z 
2022-11-23T01:32:29.3277662Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3277771Z import torch
2022-11-23T01:32:29.3277934Z import random
2022-11-23T01:32:29.3278109Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3278292Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3278336Z 
2022-11-23T01:32:29.3278458Z aten = torch.ops.aten
2022-11-23T01:32:29.3278650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3278791Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3278798Z 
2022-11-23T01:32:29.3278909Z import triton
2022-11-23T01:32:29.3279045Z import triton.language as tl
2022-11-23T01:32:29.3279230Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3279423Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3279431Z 
2022-11-23T01:32:29.3279438Z 
2022-11-23T01:32:29.3279648Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3279947Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3280111Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3280266Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.3280365Z {
2022-11-23T01:32:29.3280518Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3280621Z     {
2022-11-23T01:32:29.3280742Z         #pragma omp for 
2022-11-23T01:32:29.3280861Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.3280951Z         {
2022-11-23T01:32:29.3281162Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3281293Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:29.3281496Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.3281632Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.3281751Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:32:29.3281891Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3281982Z         }
2022-11-23T01:32:29.3282119Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3282252Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:32:29.3282354Z         {
2022-11-23T01:32:29.3282489Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3282624Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:29.3282774Z             auto tmp2 = static_cast<float>(1);
2022-11-23T01:32:29.3282893Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.3283024Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:32:29.3283153Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.3283247Z         }
2022-11-23T01:32:29.3283344Z     }
2022-11-23T01:32:29.3283441Z }
2022-11-23T01:32:29.3283574Z ''')
2022-11-23T01:32:29.3283582Z 
2022-11-23T01:32:29.3283588Z 
2022-11-23T01:32:29.3283712Z async_compile.wait(globals())
2022-11-23T01:32:29.3283825Z del async_compile
2022-11-23T01:32:29.3283833Z 
2022-11-23T01:32:29.3283944Z def call(args):
2022-11-23T01:32:29.3284056Z     arg0_1, = args
2022-11-23T01:32:29.3284159Z     args.clear()
2022-11-23T01:32:29.3284453Z     buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3284653Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.3284765Z     del arg0_1
2022-11-23T01:32:29.3284867Z     return (buf0, )
2022-11-23T01:32:29.3284874Z 
2022-11-23T01:32:29.3284880Z 
2022-11-23T01:32:29.3284994Z if __name__ == "__main__":
2022-11-23T01:32:29.3285166Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3285349Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3285631Z     arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3285795Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3285803Z 
2022-11-23T01:32:29.3285908Z ok (1.630s)
2022-11-23T01:32:29.3286369Z   test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3286865Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3287192Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3287603Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3288011Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3288463Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3288953Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3289419Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3289951Z [2022-11-23 01:21:38,588] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:29.3290105Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3290269Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3290398Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3290545Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:29.3290677Z                8 CALL_METHOD              2
2022-11-23T01:32:29.3290823Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3290988Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3290996Z 
2022-11-23T01:32:29.3291134Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3291300Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3291425Z               18 BINARY_ADD
2022-11-23T01:32:29.3291569Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:29.3291576Z 
2022-11-23T01:32:29.3291716Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:29.3291853Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.3291972Z               26 RETURN_VALUE
2022-11-23T01:32:29.3292070Z  
2022-11-23T01:32:29.3292077Z 
2022-11-23T01:32:29.3292536Z [2022-11-23 01:21:38,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3292860Z [2022-11-23 01:21:38,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.3293330Z [2022-11-23 01:21:38,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3293715Z [2022-11-23 01:21:38,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3294143Z [2022-11-23 01:21:38,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3294640Z [2022-11-23 01:21:38,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3294999Z [2022-11-23 01:21:38,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.3295504Z [2022-11-23 01:21:38,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3295947Z [2022-11-23 01:21:38,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:29.3296426Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3296910Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3297471Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3297941Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3298390Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3299091Z [2022-11-23 01:21:38,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3299474Z [2022-11-23 01:21:38,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3299814Z [2022-11-23 01:21:38,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3300329Z [2022-11-23 01:21:38,603] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:29.3300672Z [2022-11-23 01:21:38,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3301004Z [2022-11-23 01:21:38,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3301359Z [2022-11-23 01:21:38,604] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3301702Z [2022-11-23 01:21:38,607] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3301979Z [2022-11-23 01:21:38,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3302174Z  __compiled_fn_6 <eval_with_key>.53 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3302303Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3302503Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:29.3302754Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.3302969Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:29.3303179Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:29.3303188Z 
2022-11-23T01:32:29.3303645Z [2022-11-23 01:21:38,608] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3303787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3303920Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3304053Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3304193Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3304310Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3304448Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3304563Z              12 RETURN_VALUE
2022-11-23T01:32:29.3304571Z 
2022-11-23T01:32:29.3304665Z  
2022-11-23T01:32:29.3305125Z [2022-11-23 01:21:38,608] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3305284Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_6)
2022-11-23T01:32:29.3305419Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3305625Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3305745Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3305940Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3306180Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3306330Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3306460Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3306574Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3306720Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3306842Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3306960Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.3307093Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.3307206Z              26 RETURN_VALUE
2022-11-23T01:32:29.3307214Z 
2022-11-23T01:32:29.3307307Z  
2022-11-23T01:32:29.3307575Z [2022-11-23 01:21:38,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3307699Z  - 
2022-11-23T01:32:29.3307867Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3307967Z             {
2022-11-23T01:32:29.3308172Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3308433Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3308614Z                 'obj_weakref': None
2022-11-23T01:32:29.3308926Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3309023Z             }
2022-11-23T01:32:29.3309108Z             
2022-11-23T01:32:29.3309215Z  - 
2022-11-23T01:32:29.3309396Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3309495Z             {
2022-11-23T01:32:29.3309706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3309862Z                 'code': None,
2022-11-23T01:32:29.3310161Z                 'obj_weakref': <weakref at 0x7f2115b4d990; to 'Tensor' at 0x7f2151ece750>
2022-11-23T01:32:29.3310613Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3310713Z             }
2022-11-23T01:32:29.3310809Z             
2022-11-23T01:32:29.3310927Z  - 
2022-11-23T01:32:29.3311116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3311214Z             {
2022-11-23T01:32:29.3311411Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3311644Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3311820Z                 'obj_weakref': None
2022-11-23T01:32:29.3312137Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3312237Z             }
2022-11-23T01:32:29.3312332Z             
2022-11-23T01:32:29.3312442Z  - 
2022-11-23T01:32:29.3312624Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3312709Z             {
2022-11-23T01:32:29.3312900Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3313208Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3313383Z                 'obj_weakref': None
2022-11-23T01:32:29.3313700Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3313801Z             }
2022-11-23T01:32:29.3313898Z             
2022-11-23T01:32:29.3313996Z  - 
2022-11-23T01:32:29.3314187Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.3314287Z             {
2022-11-23T01:32:29.3314468Z                 'guard_types': None,
2022-11-23T01:32:29.3314630Z                 'code': None,
2022-11-23T01:32:29.3314803Z                 'obj_weakref': None
2022-11-23T01:32:29.3314978Z                 'guarded_class': None
2022-11-23T01:32:29.3315065Z             }
2022-11-23T01:32:29.3315161Z             
2022-11-23T01:32:29.3315523Z [2022-11-23 01:21:38,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6
2022-11-23T01:32:29.3315947Z [2022-11-23 01:21:38,775] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:29.3315958Z 
2022-11-23T01:32:29.3316096Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3316237Z import torch
2022-11-23T01:32:29.3316343Z import random
2022-11-23T01:32:29.3316501Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3316674Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3316681Z 
2022-11-23T01:32:29.3316798Z aten = torch.ops.aten
2022-11-23T01:32:29.3316988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3317123Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3317130Z 
2022-11-23T01:32:29.3317238Z import triton
2022-11-23T01:32:29.3317367Z import triton.language as tl
2022-11-23T01:32:29.3317547Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3317727Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3317738Z 
2022-11-23T01:32:29.3317745Z 
2022-11-23T01:32:29.3317952Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3318228Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3318413Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3318557Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.3318701Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.3318792Z {
2022-11-23T01:32:29.3318930Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3319015Z     {
2022-11-23T01:32:29.3319135Z         #pragma omp for 
2022-11-23T01:32:29.3319260Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3319357Z         {
2022-11-23T01:32:29.3319482Z             #pragma GCC ivdep
2022-11-23T01:32:29.3319605Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:29.3319693Z             {
2022-11-23T01:32:29.3319815Z                 #pragma GCC ivdep
2022-11-23T01:32:29.3319954Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:29.3320055Z                 {
2022-11-23T01:32:29.3320152Z                     {
2022-11-23T01:32:29.3320256Z                         {
2022-11-23T01:32:29.3320428Z                             auto tmp0 = static_cast<long>(((8*i1) / 3));
2022-11-23T01:32:29.3320585Z                             auto tmp1 = static_cast<long>(((21 + (16*i1)) / 6));
2022-11-23T01:32:29.3320722Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.3320887Z                             auto tmp3 = static_cast<long>(((8*i2) / 3));
2022-11-23T01:32:29.3321054Z                             auto tmp4 = static_cast<long>(((21 + (16*i2)) / 6));
2022-11-23T01:32:29.3321198Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:29.3321346Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:29.3321480Z                             float tmp7 = 0.0;
2022-11-23T01:32:29.3321597Z                             if(tmp6)
2022-11-23T01:32:29.3321694Z                             {
2022-11-23T01:32:29.3321872Z                                 auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3322003Z                                 tmp7 = tmp8;
2022-11-23T01:32:29.3322110Z                             }
2022-11-23T01:32:29.3322281Z                             auto tmp9 = static_cast<long>(1 + (((8*i2) / 3)));
2022-11-23T01:32:29.3322421Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:29.3322569Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:29.3322689Z                             float tmp12 = 0.0;
2022-11-23T01:32:29.3322810Z                             if(tmp11)
2022-11-23T01:32:29.3322916Z                             {
2022-11-23T01:32:29.3323093Z                                 auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3323221Z                                 tmp12 = tmp13;
2022-11-23T01:32:29.3323376Z                             }
2022-11-23T01:32:29.3323526Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:29.3323686Z                             auto tmp15 = static_cast<long>(2 + (((8*i2) / 3)));
2022-11-23T01:32:29.3323858Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:32:29.3324003Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:32:29.3324138Z                             float tmp18 = 0.0;
2022-11-23T01:32:29.3324251Z                             if(tmp17)
2022-11-23T01:32:29.3324355Z                             {
2022-11-23T01:32:29.3324529Z                                 auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3324660Z                                 tmp18 = tmp19;
2022-11-23T01:32:29.3324754Z                             }
2022-11-23T01:32:29.3324900Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:29.3325074Z                             auto tmp21 = static_cast<long>(3 + (((8*i2) / 3)));
2022-11-23T01:32:29.3325216Z                             auto tmp22 = tmp21 < tmp4;
2022-11-23T01:32:29.3325361Z                             auto tmp23 = tmp2 & tmp22;
2022-11-23T01:32:29.3325497Z                             float tmp24 = 0.0;
2022-11-23T01:32:29.3325609Z                             if(tmp23)
2022-11-23T01:32:29.3325700Z                             {
2022-11-23T01:32:29.3325877Z                                 auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3326001Z                                 tmp24 = tmp25;
2022-11-23T01:32:29.3326105Z                             }
2022-11-23T01:32:29.3326249Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:32:29.3326413Z                             auto tmp27 = static_cast<long>(1 + (((8*i1) / 3)));
2022-11-23T01:32:29.3326544Z                             auto tmp28 = tmp27 < tmp1;
2022-11-23T01:32:29.3326691Z                             auto tmp29 = tmp28 & tmp5;
2022-11-23T01:32:29.3326810Z                             float tmp30 = 0.0;
2022-11-23T01:32:29.3326920Z                             if(tmp29)
2022-11-23T01:32:29.3327025Z                             {
2022-11-23T01:32:29.3327208Z                                 auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3327338Z                                 tmp30 = tmp31;
2022-11-23T01:32:29.3327449Z                             }
2022-11-23T01:32:29.3327592Z                             auto tmp32 = tmp30 + tmp26;
2022-11-23T01:32:29.3327720Z                             auto tmp33 = tmp28 & tmp10;
2022-11-23T01:32:29.3327851Z                             float tmp34 = 0.0;
2022-11-23T01:32:29.3327964Z                             if(tmp33)
2022-11-23T01:32:29.3328070Z                             {
2022-11-23T01:32:29.3328246Z                                 auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3328376Z                                 tmp34 = tmp35;
2022-11-23T01:32:29.3328481Z                             }
2022-11-23T01:32:29.3328614Z                             auto tmp36 = tmp34 + tmp32;
2022-11-23T01:32:29.3328758Z                             auto tmp37 = tmp28 & tmp16;
2022-11-23T01:32:29.3328889Z                             float tmp38 = 0.0;
2022-11-23T01:32:29.3329007Z                             if(tmp37)
2022-11-23T01:32:29.3329114Z                             {
2022-11-23T01:32:29.3329296Z                                 auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3329423Z                                 tmp38 = tmp39;
2022-11-23T01:32:29.3329529Z                             }
2022-11-23T01:32:29.3329662Z                             auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:29.3329800Z                             auto tmp41 = tmp28 & tmp22;
2022-11-23T01:32:29.3329932Z                             float tmp42 = 0.0;
2022-11-23T01:32:29.3330114Z                             if(tmp41)
2022-11-23T01:32:29.3330223Z                             {
2022-11-23T01:32:29.3330398Z                                 auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3330563Z                                 tmp42 = tmp43;
2022-11-23T01:32:29.3330659Z                             }
2022-11-23T01:32:29.3330801Z                             auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:29.3330971Z                             auto tmp45 = static_cast<long>(2 + (((8*i1) / 3)));
2022-11-23T01:32:29.3331112Z                             auto tmp46 = tmp45 < tmp1;
2022-11-23T01:32:29.3331252Z                             auto tmp47 = tmp46 & tmp5;
2022-11-23T01:32:29.3331382Z                             float tmp48 = 0.0;
2022-11-23T01:32:29.3331498Z                             if(tmp47)
2022-11-23T01:32:29.3331588Z                             {
2022-11-23T01:32:29.3331762Z                                 auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3331888Z                                 tmp48 = tmp49;
2022-11-23T01:32:29.3331991Z                             }
2022-11-23T01:32:29.3332130Z                             auto tmp50 = tmp48 + tmp44;
2022-11-23T01:32:29.3332263Z                             auto tmp51 = tmp46 & tmp10;
2022-11-23T01:32:29.3332393Z                             float tmp52 = 0.0;
2022-11-23T01:32:29.3332509Z                             if(tmp51)
2022-11-23T01:32:29.3332605Z                             {
2022-11-23T01:32:29.3332783Z                                 auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3332912Z                                 tmp52 = tmp53;
2022-11-23T01:32:29.3333018Z                             }
2022-11-23T01:32:29.3333158Z                             auto tmp54 = tmp52 + tmp50;
2022-11-23T01:32:29.3333299Z                             auto tmp55 = tmp46 & tmp16;
2022-11-23T01:32:29.3333431Z                             float tmp56 = 0.0;
2022-11-23T01:32:29.3333537Z                             if(tmp55)
2022-11-23T01:32:29.3333643Z                             {
2022-11-23T01:32:29.3333821Z                                 auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3333949Z                                 tmp56 = tmp57;
2022-11-23T01:32:29.3334058Z                             }
2022-11-23T01:32:29.3334200Z                             auto tmp58 = tmp56 + tmp54;
2022-11-23T01:32:29.3334342Z                             auto tmp59 = tmp46 & tmp22;
2022-11-23T01:32:29.3334461Z                             float tmp60 = 0.0;
2022-11-23T01:32:29.3334576Z                             if(tmp59)
2022-11-23T01:32:29.3334684Z                             {
2022-11-23T01:32:29.3334858Z                                 auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3334993Z                                 tmp60 = tmp61;
2022-11-23T01:32:29.3335095Z                             }
2022-11-23T01:32:29.3335229Z                             auto tmp62 = tmp60 + tmp58;
2022-11-23T01:32:29.3335394Z                             auto tmp63 = static_cast<long>(3 + (((8*i1) / 3)));
2022-11-23T01:32:29.3335531Z                             auto tmp64 = tmp63 < tmp1;
2022-11-23T01:32:29.3335670Z                             auto tmp65 = tmp64 & tmp5;
2022-11-23T01:32:29.3335792Z                             float tmp66 = 0.0;
2022-11-23T01:32:29.3335906Z                             if(tmp65)
2022-11-23T01:32:29.3336011Z                             {
2022-11-23T01:32:29.3336184Z                                 auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3336307Z                                 tmp66 = tmp67;
2022-11-23T01:32:29.3336400Z                             }
2022-11-23T01:32:29.3336539Z                             auto tmp68 = tmp66 + tmp62;
2022-11-23T01:32:29.3336734Z                             auto tmp69 = tmp64 & tmp10;
2022-11-23T01:32:29.3336870Z                             float tmp70 = 0.0;
2022-11-23T01:32:29.3336982Z                             if(tmp69)
2022-11-23T01:32:29.3337120Z                             {
2022-11-23T01:32:29.3337293Z                                 auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3337416Z                                 tmp70 = tmp71;
2022-11-23T01:32:29.3337506Z                             }
2022-11-23T01:32:29.3337643Z                             auto tmp72 = tmp70 + tmp68;
2022-11-23T01:32:29.3337777Z                             auto tmp73 = tmp64 & tmp16;
2022-11-23T01:32:29.3337908Z                             float tmp74 = 0.0;
2022-11-23T01:32:29.3338020Z                             if(tmp73)
2022-11-23T01:32:29.3338129Z                             {
2022-11-23T01:32:29.3338305Z                                 auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3338419Z                                 tmp74 = tmp75;
2022-11-23T01:32:29.3338527Z                             }
2022-11-23T01:32:29.3338667Z                             auto tmp76 = tmp74 + tmp72;
2022-11-23T01:32:29.3338992Z                             auto tmp77 = tmp64 & tmp22;
2022-11-23T01:32:29.3339129Z                             float tmp78 = 0.0;
2022-11-23T01:32:29.3339236Z                             if(tmp77)
2022-11-23T01:32:29.3339334Z                             {
2022-11-23T01:32:29.3339492Z                                 auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:29.3339610Z                                 tmp78 = tmp79;
2022-11-23T01:32:29.3339707Z                             }
2022-11-23T01:32:29.3339838Z                             auto tmp80 = tmp78 + tmp76;
2022-11-23T01:32:29.3339959Z                             float tmp81 = 0.0;
2022-11-23T01:32:29.3340076Z                             if(tmp6)
2022-11-23T01:32:29.3340182Z                             {
2022-11-23T01:32:29.3340335Z                                 auto tmp82 = static_cast<float>(1);
2022-11-23T01:32:29.3340460Z                                 tmp81 = tmp82;
2022-11-23T01:32:29.3340572Z                             }
2022-11-23T01:32:29.3340703Z                             float tmp83 = 0.0;
2022-11-23T01:32:29.3340820Z                             if(tmp11)
2022-11-23T01:32:29.3340927Z                             {
2022-11-23T01:32:29.3341090Z                                 auto tmp84 = static_cast<float>(1);
2022-11-23T01:32:29.3341219Z                                 tmp83 = tmp84;
2022-11-23T01:32:29.3341316Z                             }
2022-11-23T01:32:29.3341460Z                             auto tmp85 = tmp83 + tmp81;
2022-11-23T01:32:29.3341589Z                             float tmp86 = 0.0;
2022-11-23T01:32:29.3341710Z                             if(tmp17)
2022-11-23T01:32:29.3341815Z                             {
2022-11-23T01:32:29.3341980Z                                 auto tmp87 = static_cast<float>(1);
2022-11-23T01:32:29.3342107Z                                 tmp86 = tmp87;
2022-11-23T01:32:29.3342206Z                             }
2022-11-23T01:32:29.3342356Z                             auto tmp88 = tmp86 + tmp85;
2022-11-23T01:32:29.3342488Z                             float tmp89 = 0.0;
2022-11-23T01:32:29.3342609Z                             if(tmp23)
2022-11-23T01:32:29.3342717Z                             {
2022-11-23T01:32:29.3342880Z                                 auto tmp90 = static_cast<float>(1);
2022-11-23T01:32:29.3343008Z                                 tmp89 = tmp90;
2022-11-23T01:32:29.3343105Z                             }
2022-11-23T01:32:29.3343241Z                             auto tmp91 = tmp89 + tmp88;
2022-11-23T01:32:29.3343373Z                             float tmp92 = 0.0;
2022-11-23T01:32:29.3343488Z                             if(tmp29)
2022-11-23T01:32:29.3343681Z                             {
2022-11-23T01:32:29.3343848Z                                 auto tmp93 = static_cast<float>(1);
2022-11-23T01:32:29.3343978Z                                 tmp92 = tmp93;
2022-11-23T01:32:29.3344116Z                             }
2022-11-23T01:32:29.3344292Z                             auto tmp94 = tmp92 + tmp91;
2022-11-23T01:32:29.3344820Z                             float tmp95 = 0.0;
2022-11-23T01:32:29.3345335Z                             if(tmp33)
2022-11-23T01:32:29.3345471Z                             {
2022-11-23T01:32:29.3345654Z                                 auto tmp96 = static_cast<float>(1);
2022-11-23T01:32:29.3345844Z                                 tmp95 = tmp96;
2022-11-23T01:32:29.3345975Z                             }
2022-11-23T01:32:29.3346113Z                             auto tmp97 = tmp95 + tmp94;
2022-11-23T01:32:29.3346264Z                             float tmp98 = 0.0;
2022-11-23T01:32:29.3346411Z                             if(tmp37)
2022-11-23T01:32:29.3346544Z                             {
2022-11-23T01:32:29.3347265Z                                 auto tmp99 = static_cast<float>(1);
2022-11-23T01:32:29.3347420Z                                 tmp98 = tmp99;
2022-11-23T01:32:29.3347559Z                             }
2022-11-23T01:32:29.3347704Z                             auto tmp100 = tmp98 + tmp97;
2022-11-23T01:32:29.3347894Z                             float tmp101 = 0.0;
2022-11-23T01:32:29.3348045Z                             if(tmp41)
2022-11-23T01:32:29.3348215Z                             {
2022-11-23T01:32:29.3348400Z                                 auto tmp102 = static_cast<float>(1);
2022-11-23T01:32:29.3348553Z                                 tmp101 = tmp102;
2022-11-23T01:32:29.3348691Z                             }
2022-11-23T01:32:29.3348832Z                             auto tmp103 = tmp101 + tmp100;
2022-11-23T01:32:29.3348989Z                             float tmp104 = 0.0;
2022-11-23T01:32:29.3349128Z                             if(tmp47)
2022-11-23T01:32:29.3349269Z                             {
2022-11-23T01:32:29.3349455Z                                 auto tmp105 = static_cast<float>(1);
2022-11-23T01:32:29.3349608Z                                 tmp104 = tmp105;
2022-11-23T01:32:29.3349745Z                             }
2022-11-23T01:32:29.3349889Z                             auto tmp106 = tmp104 + tmp103;
2022-11-23T01:32:29.3350044Z                             float tmp107 = 0.0;
2022-11-23T01:32:29.3350180Z                             if(tmp51)
2022-11-23T01:32:29.3350703Z                             {
2022-11-23T01:32:29.3350908Z                                 auto tmp108 = static_cast<float>(1);
2022-11-23T01:32:29.3351068Z                                 tmp107 = tmp108;
2022-11-23T01:32:29.3351251Z                             }
2022-11-23T01:32:29.3351418Z                             auto tmp109 = tmp107 + tmp106;
2022-11-23T01:32:29.3351546Z                             float tmp110 = 0.0;
2022-11-23T01:32:29.3351694Z                             if(tmp55)
2022-11-23T01:32:29.3351822Z                             {
2022-11-23T01:32:29.3352009Z                                 auto tmp111 = static_cast<float>(1);
2022-11-23T01:32:29.3352184Z                                 tmp110 = tmp111;
2022-11-23T01:32:29.3352344Z                             }
2022-11-23T01:32:29.3352517Z                             auto tmp112 = tmp110 + tmp109;
2022-11-23T01:32:29.3352640Z                             float tmp113 = 0.0;
2022-11-23T01:32:29.3352776Z                             if(tmp59)
2022-11-23T01:32:29.3352902Z                             {
2022-11-23T01:32:29.3353087Z                                 auto tmp114 = static_cast<float>(1);
2022-11-23T01:32:29.3353231Z                                 tmp113 = tmp114;
2022-11-23T01:32:29.3353372Z                             }
2022-11-23T01:32:29.3353542Z                             auto tmp115 = tmp113 + tmp112;
2022-11-23T01:32:29.3353668Z                             float tmp116 = 0.0;
2022-11-23T01:32:29.3353865Z                             if(tmp65)
2022-11-23T01:32:29.3354071Z                             {
2022-11-23T01:32:29.3354262Z                                 auto tmp117 = static_cast<float>(1);
2022-11-23T01:32:29.3354458Z                                 tmp116 = tmp117;
2022-11-23T01:32:29.3354598Z                             }
2022-11-23T01:32:29.3354760Z                             auto tmp118 = tmp116 + tmp115;
2022-11-23T01:32:29.3354917Z                             float tmp119 = 0.0;
2022-11-23T01:32:29.3355031Z                             if(tmp69)
2022-11-23T01:32:29.3355154Z                             {
2022-11-23T01:32:29.3355341Z                                 auto tmp120 = static_cast<float>(1);
2022-11-23T01:32:29.3355491Z                                 tmp119 = tmp120;
2022-11-23T01:32:29.3355615Z                             }
2022-11-23T01:32:29.3355789Z                             auto tmp121 = tmp119 + tmp118;
2022-11-23T01:32:29.3355945Z                             float tmp122 = 0.0;
2022-11-23T01:32:29.3356059Z                             if(tmp73)
2022-11-23T01:32:29.3356184Z                             {
2022-11-23T01:32:29.3356368Z                                 auto tmp123 = static_cast<float>(1);
2022-11-23T01:32:29.3356555Z                                 tmp122 = tmp123;
2022-11-23T01:32:29.3356730Z                             }
2022-11-23T01:32:29.3356900Z                             auto tmp124 = tmp122 + tmp121;
2022-11-23T01:32:29.3357065Z                             float tmp125 = 0.0;
2022-11-23T01:32:29.3357174Z                             if(tmp77)
2022-11-23T01:32:29.3357305Z                             {
2022-11-23T01:32:29.3357507Z                                 auto tmp126 = static_cast<float>(1);
2022-11-23T01:32:29.3357653Z                                 tmp125 = tmp126;
2022-11-23T01:32:29.3357792Z                             }
2022-11-23T01:32:29.3357964Z                             auto tmp127 = tmp125 + tmp124;
2022-11-23T01:32:29.3358133Z                             auto tmp128 = tmp80 / tmp127;
2022-11-23T01:32:29.3358281Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128;
2022-11-23T01:32:29.3358420Z                         }
2022-11-23T01:32:29.3358551Z                     }
2022-11-23T01:32:29.3358670Z                 }
2022-11-23T01:32:29.3413635Z             }
2022-11-23T01:32:29.3413824Z         }
2022-11-23T01:32:29.3413972Z         #pragma omp for 
2022-11-23T01:32:29.3414104Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:29.3414205Z         {
2022-11-23T01:32:29.3414421Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3414618Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.3414754Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3414893Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.3414992Z         }
2022-11-23T01:32:29.3415138Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3415288Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:32:29.3415373Z         {
2022-11-23T01:32:29.3415501Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3415651Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.3415792Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3415910Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.3416008Z         }
2022-11-23T01:32:29.3416106Z     }
2022-11-23T01:32:29.3416190Z }
2022-11-23T01:32:29.3416413Z ''')
2022-11-23T01:32:29.3416423Z 
2022-11-23T01:32:29.3416430Z 
2022-11-23T01:32:29.3416570Z async_compile.wait(globals())
2022-11-23T01:32:29.3416687Z del async_compile
2022-11-23T01:32:29.3416694Z 
2022-11-23T01:32:29.3416799Z def call(args):
2022-11-23T01:32:29.3416913Z     arg0_1, = args
2022-11-23T01:32:29.3417021Z     args.clear()
2022-11-23T01:32:29.3417346Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3417918Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3418162Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.3418271Z     del arg0_1
2022-11-23T01:32:29.3418507Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2022-11-23T01:32:29.3418611Z     del buf1
2022-11-23T01:32:29.3418714Z     buf3 = buf2
2022-11-23T01:32:29.3419148Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2022-11-23T01:32:29.3419245Z     del buf2
2022-11-23T01:32:29.3419364Z     return (buf0, buf3, )
2022-11-23T01:32:29.3419373Z 
2022-11-23T01:32:29.3419379Z 
2022-11-23T01:32:29.3419495Z if __name__ == "__main__":
2022-11-23T01:32:29.3419663Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3419842Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3420161Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3420327Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3420831Z [2022-11-23 01:21:40,714] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iz/cizgjmlwybjkzllgq6iyhw4l2xkqqzvfjxgyd26o6ps6heek7neg.py
2022-11-23T01:32:29.3421193Z [2022-11-23 01:21:40,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6
2022-11-23T01:32:29.3421539Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3422038Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3422347Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3422711Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3423106Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3423559Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3424056Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3424507Z [2022-11-23 01:21:40,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3425034Z [2022-11-23 01:21:40,719] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:29.3425184Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3425334Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3425477Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3425620Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:29.3425746Z                8 CALL_METHOD              2
2022-11-23T01:32:29.3425897Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3426070Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3426079Z 
2022-11-23T01:32:29.3426209Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3426347Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3426453Z               18 BINARY_ADD
2022-11-23T01:32:29.3426593Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:29.3426601Z 
2022-11-23T01:32:29.3426724Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:29.3426865Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.3426986Z               26 RETURN_VALUE
2022-11-23T01:32:29.3427083Z  
2022-11-23T01:32:29.3427090Z 
2022-11-23T01:32:29.3427612Z [2022-11-23 01:21:40,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3427934Z [2022-11-23 01:21:40,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.3428441Z [2022-11-23 01:21:40,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3428822Z [2022-11-23 01:21:40,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3429256Z [2022-11-23 01:21:40,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3429740Z [2022-11-23 01:21:40,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3430103Z [2022-11-23 01:21:40,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.3430729Z [2022-11-23 01:21:40,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3431182Z [2022-11-23 01:21:40,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:29.3431621Z [2022-11-23 01:21:40,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3432101Z [2022-11-23 01:21:40,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3432634Z [2022-11-23 01:21:40,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3433105Z [2022-11-23 01:21:40,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3433558Z [2022-11-23 01:21:40,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3434062Z [2022-11-23 01:21:40,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3434457Z [2022-11-23 01:21:40,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3434800Z [2022-11-23 01:21:40,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3435335Z [2022-11-23 01:21:40,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:29.3435670Z [2022-11-23 01:21:40,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3435999Z [2022-11-23 01:21:40,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3436357Z [2022-11-23 01:21:40,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3436732Z [2022-11-23 01:21:40,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3437021Z [2022-11-23 01:21:40,738] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3437224Z  __compiled_fn_7 <eval_with_key>.59 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3437352Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3437631Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:29.3437899Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.3438159Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:29.3438366Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:29.3438374Z 
2022-11-23T01:32:29.3438842Z [2022-11-23 01:21:40,738] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3438980Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3439122Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3439242Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3439386Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3439525Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3439661Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3439786Z              12 RETURN_VALUE
2022-11-23T01:32:29.3439793Z 
2022-11-23T01:32:29.3439894Z  
2022-11-23T01:32:29.3440359Z [2022-11-23 01:21:40,738] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3440521Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_7)
2022-11-23T01:32:29.3440648Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3440790Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3440906Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3441042Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3441226Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3441399Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3441552Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3441663Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3441816Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3441956Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3442084Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.3442217Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.3442340Z              26 RETURN_VALUE
2022-11-23T01:32:29.3442348Z 
2022-11-23T01:32:29.3442449Z  
2022-11-23T01:32:29.3442722Z [2022-11-23 01:21:40,739] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3442825Z  - 
2022-11-23T01:32:29.3443011Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3443113Z             {
2022-11-23T01:32:29.3443324Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3443604Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3443780Z                 'obj_weakref': None
2022-11-23T01:32:29.3444111Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3444199Z             }
2022-11-23T01:32:29.3444302Z             
2022-11-23T01:32:29.3444418Z  - 
2022-11-23T01:32:29.3444609Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3444721Z             {
2022-11-23T01:32:29.3444928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3445101Z                 'code': None,
2022-11-23T01:32:29.3445391Z                 'obj_weakref': <weakref at 0x7f2115980450; to 'Tensor' at 0x7f2115bed080>
2022-11-23T01:32:29.3445741Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3445844Z             }
2022-11-23T01:32:29.3445948Z             
2022-11-23T01:32:29.3446062Z  - 
2022-11-23T01:32:29.3446247Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3446353Z             {
2022-11-23T01:32:29.3446540Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3446838Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3447028Z                 'obj_weakref': None
2022-11-23T01:32:29.3447349Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3447492Z             }
2022-11-23T01:32:29.3447595Z             
2022-11-23T01:32:29.3447705Z  - 
2022-11-23T01:32:29.3447880Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3447989Z             {
2022-11-23T01:32:29.3448192Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3448505Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3448690Z                 'obj_weakref': None
2022-11-23T01:32:29.3449006Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3449114Z             }
2022-11-23T01:32:29.3449213Z             
2022-11-23T01:32:29.3449312Z  - 
2022-11-23T01:32:29.3449511Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.3449612Z             {
2022-11-23T01:32:29.3449789Z                 'guard_types': None,
2022-11-23T01:32:29.3449956Z                 'code': None,
2022-11-23T01:32:29.3450140Z                 'obj_weakref': None
2022-11-23T01:32:29.3450316Z                 'guarded_class': None
2022-11-23T01:32:29.3450413Z             }
2022-11-23T01:32:29.3450510Z             
2022-11-23T01:32:29.3450885Z [2022-11-23 01:21:40,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7
2022-11-23T01:32:29.3450894Z 
2022-11-23T01:32:29.3450900Z 
2022-11-23T01:32:29.3451044Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3451155Z import torch
2022-11-23T01:32:29.3451260Z import random
2022-11-23T01:32:29.3451435Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3451623Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3451633Z 
2022-11-23T01:32:29.3451763Z aten = torch.ops.aten
2022-11-23T01:32:29.3451993Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3452128Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3452136Z 
2022-11-23T01:32:29.3452244Z import triton
2022-11-23T01:32:29.3452389Z import triton.language as tl
2022-11-23T01:32:29.3452565Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3452770Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3452778Z 
2022-11-23T01:32:29.3452785Z 
2022-11-23T01:32:29.3452977Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3453270Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3453454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3453607Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.3453755Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.3453848Z {
2022-11-23T01:32:29.3453987Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3454089Z     {
2022-11-23T01:32:29.3454199Z         #pragma omp for 
2022-11-23T01:32:29.3454328Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3454427Z         {
2022-11-23T01:32:29.3454556Z             #pragma GCC ivdep
2022-11-23T01:32:29.3454676Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:29.3454778Z             {
2022-11-23T01:32:29.3454894Z                 #pragma GCC ivdep
2022-11-23T01:32:29.3455029Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:29.3455125Z                 {
2022-11-23T01:32:29.3455230Z                     {
2022-11-23T01:32:29.3455342Z                         {
2022-11-23T01:32:29.3455503Z                             auto tmp0 = static_cast<long>((i1 / 2));
2022-11-23T01:32:29.3455680Z                             auto tmp1 = static_cast<long>(((8 + (3*i1)) / 6));
2022-11-23T01:32:29.3455825Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.3456117Z                             auto tmp3 = static_cast<long>((i2 / 2));
2022-11-23T01:32:29.3456292Z                             auto tmp4 = static_cast<long>(((8 + (3*i2)) / 6));
2022-11-23T01:32:29.3456441Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:29.3456621Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:29.3456752Z                             float tmp7 = 0.0;
2022-11-23T01:32:29.3456871Z                             if(tmp6)
2022-11-23T01:32:29.3456983Z                             {
2022-11-23T01:32:29.3457147Z                                 auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:29.3457282Z                                 tmp7 = tmp8;
2022-11-23T01:32:29.3457389Z                             }
2022-11-23T01:32:29.3457563Z                             auto tmp9 = static_cast<long>(1 + (i2 / 2));
2022-11-23T01:32:29.3457718Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:29.3457867Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:29.3458010Z                             float tmp12 = 0.0;
2022-11-23T01:32:29.3458131Z                             if(tmp11)
2022-11-23T01:32:29.3458222Z                             {
2022-11-23T01:32:29.3458403Z                                 auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:29.3458540Z                                 tmp12 = tmp13;
2022-11-23T01:32:29.3458646Z                             }
2022-11-23T01:32:29.3550490Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:29.3550740Z                             auto tmp15 = static_cast<long>(1 + (i1 / 2));
2022-11-23T01:32:29.3550896Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:29.3551034Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:29.3551175Z                             float tmp18 = 0.0;
2022-11-23T01:32:29.3551298Z                             if(tmp17)
2022-11-23T01:32:29.3551411Z                             {
2022-11-23T01:32:29.3551596Z                                 auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:29.3551735Z                                 tmp18 = tmp19;
2022-11-23T01:32:29.3551844Z                             }
2022-11-23T01:32:29.3551985Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:29.3552137Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:29.3552277Z                             float tmp22 = 0.0;
2022-11-23T01:32:29.3552393Z                             if(tmp21)
2022-11-23T01:32:29.3552502Z                             {
2022-11-23T01:32:29.3552680Z                                 auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:29.3552812Z                                 tmp22 = tmp23;
2022-11-23T01:32:29.3552920Z                             }
2022-11-23T01:32:29.3553048Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:29.3553185Z                             float tmp25 = 0.0;
2022-11-23T01:32:29.3553308Z                             if(tmp6)
2022-11-23T01:32:29.3553414Z                             {
2022-11-23T01:32:29.3553578Z                                 auto tmp26 = static_cast<float>(1);
2022-11-23T01:32:29.3553712Z                                 tmp25 = tmp26;
2022-11-23T01:32:29.3553815Z                             }
2022-11-23T01:32:29.3553939Z                             float tmp27 = 0.0;
2022-11-23T01:32:29.3554060Z                             if(tmp11)
2022-11-23T01:32:29.3554167Z                             {
2022-11-23T01:32:29.3554331Z                                 auto tmp28 = static_cast<float>(1);
2022-11-23T01:32:29.3554463Z                                 tmp27 = tmp28;
2022-11-23T01:32:29.3554572Z                             }
2022-11-23T01:32:29.3554719Z                             auto tmp29 = tmp27 + tmp25;
2022-11-23T01:32:29.3554835Z                             float tmp30 = 0.0;
2022-11-23T01:32:29.3554956Z                             if(tmp17)
2022-11-23T01:32:29.3555232Z                             {
2022-11-23T01:32:29.3555405Z                                 auto tmp31 = static_cast<float>(1);
2022-11-23T01:32:29.3555537Z                                 tmp30 = tmp31;
2022-11-23T01:32:29.3555696Z                             }
2022-11-23T01:32:29.3555845Z                             auto tmp32 = tmp30 + tmp29;
2022-11-23T01:32:29.3555977Z                             float tmp33 = 0.0;
2022-11-23T01:32:29.3556085Z                             if(tmp21)
2022-11-23T01:32:29.3556198Z                             {
2022-11-23T01:32:29.3556357Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:32:29.3556478Z                                 tmp33 = tmp34;
2022-11-23T01:32:29.3556584Z                             }
2022-11-23T01:32:29.3556728Z                             auto tmp35 = tmp33 + tmp32;
2022-11-23T01:32:29.3556873Z                             auto tmp36 = tmp24 / tmp35;
2022-11-23T01:32:29.3557030Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36;
2022-11-23T01:32:29.3557141Z                         }
2022-11-23T01:32:29.3557247Z                     }
2022-11-23T01:32:29.3557348Z                 }
2022-11-23T01:32:29.3557453Z             }
2022-11-23T01:32:29.3557554Z         }
2022-11-23T01:32:29.3557677Z         #pragma omp for 
2022-11-23T01:32:29.3557791Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3557887Z         {
2022-11-23T01:32:29.3558013Z             #pragma GCC ivdep
2022-11-23T01:32:29.3558140Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.3558238Z             {
2022-11-23T01:32:29.3558359Z                 #pragma GCC ivdep
2022-11-23T01:32:29.3558485Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:29.3558589Z                 {
2022-11-23T01:32:29.3558691Z                     {
2022-11-23T01:32:29.3558796Z                         {
2022-11-23T01:32:29.3558970Z                             auto tmp0 = static_cast<long>(((3*i1) / 2));
2022-11-23T01:32:29.3559148Z                             auto tmp1 = static_cast<long>(2 + (((3*i1) / 2)));
2022-11-23T01:32:29.3559288Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.3559458Z                             auto tmp3 = static_cast<long>(((3*i2) / 5));
2022-11-23T01:32:29.3559624Z                             auto tmp4 = static_cast<long>(((7 + (3*i2)) / 5));
2022-11-23T01:32:29.3559766Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:29.3559906Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:29.3560042Z                             float tmp7 = 0.0;
2022-11-23T01:32:29.3560162Z                             if(tmp6)
2022-11-23T01:32:29.3560271Z                             {
2022-11-23T01:32:29.3560451Z                                 auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:29.3560607Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:29.3560751Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:29.3560883Z                                 tmp7 = tmp10;
2022-11-23T01:32:29.3560992Z                             }
2022-11-23T01:32:29.3561159Z                             auto tmp11 = static_cast<long>(1 + (((3*i2) / 5)));
2022-11-23T01:32:29.3561308Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:32:29.3561455Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:32:29.3561584Z                             float tmp14 = 0.0;
2022-11-23T01:32:29.3561692Z                             if(tmp13)
2022-11-23T01:32:29.3561801Z                             {
2022-11-23T01:32:29.3561984Z                                 auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:29.3562149Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:32:29.3562297Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:29.3562479Z                                 tmp14 = tmp17;
2022-11-23T01:32:29.3562589Z                             }
2022-11-23T01:32:29.3562723Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:32:29.3562899Z                             auto tmp19 = static_cast<long>(1 + (((3*i1) / 2)));
2022-11-23T01:32:29.3563082Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:32:29.3563229Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:32:29.3563357Z                             float tmp22 = 0.0;
2022-11-23T01:32:29.3563479Z                             if(tmp21)
2022-11-23T01:32:29.3563589Z                             {
2022-11-23T01:32:29.3563768Z                                 auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:29.3563919Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:32:29.3564072Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:32:29.3564200Z                                 tmp22 = tmp25;
2022-11-23T01:32:29.3564313Z                             }
2022-11-23T01:32:29.3564455Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:32:29.3564597Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:32:29.3564738Z                             float tmp28 = 0.0;
2022-11-23T01:32:29.3564848Z                             if(tmp27)
2022-11-23T01:32:29.3564953Z                             {
2022-11-23T01:32:29.3565135Z                                 auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:29.3565301Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:32:29.3565447Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:32:29.3565581Z                                 tmp28 = tmp31;
2022-11-23T01:32:29.3565688Z                             }
2022-11-23T01:32:29.3565828Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:32:29.3565958Z                             float tmp33 = 0.0;
2022-11-23T01:32:29.3566079Z                             if(tmp6)
2022-11-23T01:32:29.3566185Z                             {
2022-11-23T01:32:29.3566349Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:32:29.3566484Z                                 tmp33 = tmp34;
2022-11-23T01:32:29.3566590Z                             }
2022-11-23T01:32:29.3566725Z                             float tmp35 = 0.0;
2022-11-23T01:32:29.3566836Z                             if(tmp13)
2022-11-23T01:32:29.3566944Z                             {
2022-11-23T01:32:29.3567110Z                                 auto tmp36 = static_cast<float>(1);
2022-11-23T01:32:29.3567236Z                                 tmp35 = tmp36;
2022-11-23T01:32:29.3567344Z                             }
2022-11-23T01:32:29.3567492Z                             auto tmp37 = tmp35 + tmp33;
2022-11-23T01:32:29.3567624Z                             float tmp38 = 0.0;
2022-11-23T01:32:29.3567729Z                             if(tmp21)
2022-11-23T01:32:29.3567838Z                             {
2022-11-23T01:32:29.3568005Z                                 auto tmp39 = static_cast<float>(1);
2022-11-23T01:32:29.3568139Z                                 tmp38 = tmp39;
2022-11-23T01:32:29.3568242Z                             }
2022-11-23T01:32:29.3568386Z                             auto tmp40 = tmp38 + tmp37;
2022-11-23T01:32:29.3568519Z                             float tmp41 = 0.0;
2022-11-23T01:32:29.3568634Z                             if(tmp27)
2022-11-23T01:32:29.3568733Z                             {
2022-11-23T01:32:29.3568893Z                                 auto tmp42 = static_cast<float>(1);
2022-11-23T01:32:29.3569022Z                                 tmp41 = tmp42;
2022-11-23T01:32:29.3569133Z                             }
2022-11-23T01:32:29.3569275Z                             auto tmp43 = tmp41 + tmp40;
2022-11-23T01:32:29.3569420Z                             auto tmp44 = tmp32 / tmp43;
2022-11-23T01:32:29.3569635Z                             out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44;
2022-11-23T01:32:29.3569732Z                         }
2022-11-23T01:32:29.3569839Z                     }
2022-11-23T01:32:29.3569979Z                 }
2022-11-23T01:32:29.3570081Z             }
2022-11-23T01:32:29.3570182Z         }
2022-11-23T01:32:29.3570281Z     }
2022-11-23T01:32:29.3570377Z }
2022-11-23T01:32:29.3570546Z ''')
2022-11-23T01:32:29.3570556Z 
2022-11-23T01:32:29.3570563Z 
2022-11-23T01:32:29.3570707Z async_compile.wait(globals())
2022-11-23T01:32:29.3570821Z del async_compile
2022-11-23T01:32:29.3570829Z 
2022-11-23T01:32:29.3570940Z def call(args):
2022-11-23T01:32:29.3571042Z     arg0_1, = args
2022-11-23T01:32:29.3571155Z     args.clear()
2022-11-23T01:32:29.3571482Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3571773Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3572020Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.3572125Z     del arg0_1
2022-11-23T01:32:29.3572247Z     return (buf0, buf1, )
2022-11-23T01:32:29.3572261Z 
2022-11-23T01:32:29.3572268Z 
2022-11-23T01:32:29.3572381Z if __name__ == "__main__":
2022-11-23T01:32:29.3572551Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3572733Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3573046Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3573208Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3573708Z [2022-11-23 01:21:42,555] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m5/cm56spiz5klsv6vtzg53rnt5zrviu346suvokh2iy5xpyiu3pqe5.py
2022-11-23T01:32:29.3574087Z [2022-11-23 01:21:42,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7
2022-11-23T01:32:29.3574429Z [2022-11-23 01:21:42,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3574882Z [2022-11-23 01:21:42,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3575210Z [2022-11-23 01:21:42,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3575566Z [2022-11-23 01:21:42,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3575949Z [2022-11-23 01:21:42,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3576396Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3576895Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3577355Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3577872Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:29.3578019Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3578193Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3578332Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3578470Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:29.3578607Z                8 CALL_METHOD              2
2022-11-23T01:32:29.3578749Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3579155Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3579167Z 
2022-11-23T01:32:29.3579293Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3579433Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3579589Z               18 BINARY_ADD
2022-11-23T01:32:29.3579727Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:29.3579735Z 
2022-11-23T01:32:29.3579869Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:29.3580004Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.3580117Z               26 RETURN_VALUE
2022-11-23T01:32:29.3580212Z  
2022-11-23T01:32:29.3580221Z 
2022-11-23T01:32:29.3580666Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3580984Z [2022-11-23 01:21:42,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.3581458Z [2022-11-23 01:21:42,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3581854Z [2022-11-23 01:21:42,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3582298Z [2022-11-23 01:21:42,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3582789Z [2022-11-23 01:21:42,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3583143Z [2022-11-23 01:21:42,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.3583645Z [2022-11-23 01:21:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3584091Z [2022-11-23 01:21:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:29.3584524Z [2022-11-23 01:21:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3584990Z [2022-11-23 01:21:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3585508Z [2022-11-23 01:21:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3585965Z [2022-11-23 01:21:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3586413Z [2022-11-23 01:21:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:29.3586951Z [2022-11-23 01:21:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3587341Z [2022-11-23 01:21:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3587692Z [2022-11-23 01:21:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3588219Z [2022-11-23 01:21:42,574] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:29.3588571Z [2022-11-23 01:21:42,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3588958Z [2022-11-23 01:21:42,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3589324Z [2022-11-23 01:21:42,575] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3589736Z [2022-11-23 01:21:42,577] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3590016Z [2022-11-23 01:21:42,578] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3590199Z  __compiled_fn_8 <eval_with_key>.65 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3590427Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3590647Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:29.3590909Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.3591129Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:29.3591348Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:29.3591357Z 
2022-11-23T01:32:29.3591827Z [2022-11-23 01:21:42,578] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3591978Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3592106Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3592242Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3592378Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3592509Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3592643Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3592755Z              12 RETURN_VALUE
2022-11-23T01:32:29.3592763Z 
2022-11-23T01:32:29.3592861Z  
2022-11-23T01:32:29.3593324Z [2022-11-23 01:21:42,578] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3593472Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_8)
2022-11-23T01:32:29.3593608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3593745Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3593869Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3594004Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3594158Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3594303Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3594428Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3594548Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3594697Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3594833Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3594952Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.3595081Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.3595200Z              26 RETURN_VALUE
2022-11-23T01:32:29.3595212Z 
2022-11-23T01:32:29.3595309Z  
2022-11-23T01:32:29.3595564Z [2022-11-23 01:21:42,579] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3595679Z  - 
2022-11-23T01:32:29.3595869Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3595973Z             {
2022-11-23T01:32:29.3596177Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3596453Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3596632Z                 'obj_weakref': None
2022-11-23T01:32:29.3596934Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3597036Z             }
2022-11-23T01:32:29.3597134Z             
2022-11-23T01:32:29.3597239Z  - 
2022-11-23T01:32:29.3597425Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3597527Z             {
2022-11-23T01:32:29.3597731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3597944Z                 'code': None,
2022-11-23T01:32:29.3598244Z                 'obj_weakref': <weakref at 0x7f20727c1490; to 'Tensor' at 0x7f2115bed080>
2022-11-23T01:32:29.3598600Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3598741Z             }
2022-11-23T01:32:29.3598842Z             
2022-11-23T01:32:29.3598952Z  - 
2022-11-23T01:32:29.3599155Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3599247Z             {
2022-11-23T01:32:29.3599445Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3599694Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3599879Z                 'obj_weakref': None
2022-11-23T01:32:29.3600204Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3600305Z             }
2022-11-23T01:32:29.3600404Z             
2022-11-23T01:32:29.3600504Z  - 
2022-11-23T01:32:29.3600697Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3600797Z             {
2022-11-23T01:32:29.3600998Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3601310Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3601489Z                 'obj_weakref': None
2022-11-23T01:32:29.3601810Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3601907Z             }
2022-11-23T01:32:29.3601994Z             
2022-11-23T01:32:29.3602106Z  - 
2022-11-23T01:32:29.3602299Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.3602399Z             {
2022-11-23T01:32:29.3602579Z                 'guard_types': None,
2022-11-23T01:32:29.3602736Z                 'code': None,
2022-11-23T01:32:29.3602907Z                 'obj_weakref': None
2022-11-23T01:32:29.3603084Z                 'guarded_class': None
2022-11-23T01:32:29.3603184Z             }
2022-11-23T01:32:29.3603289Z             
2022-11-23T01:32:29.3603656Z [2022-11-23 01:21:42,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8
2022-11-23T01:32:29.3603665Z 
2022-11-23T01:32:29.3603678Z 
2022-11-23T01:32:29.3603819Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3603923Z import torch
2022-11-23T01:32:29.3604034Z import random
2022-11-23T01:32:29.3604195Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3604371Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3604379Z 
2022-11-23T01:32:29.3604500Z aten = torch.ops.aten
2022-11-23T01:32:29.3604692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3604834Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3604841Z 
2022-11-23T01:32:29.3604952Z import triton
2022-11-23T01:32:29.3605084Z import triton.language as tl
2022-11-23T01:32:29.3605268Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3605459Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3605467Z 
2022-11-23T01:32:29.3605474Z 
2022-11-23T01:32:29.3605683Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3605968Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3606154Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3606300Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.3606448Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.3606547Z {
2022-11-23T01:32:29.3606696Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3606778Z     {
2022-11-23T01:32:29.3606898Z         #pragma omp for 
2022-11-23T01:32:29.3607023Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3607119Z         {
2022-11-23T01:32:29.3607241Z             #pragma GCC ivdep
2022-11-23T01:32:29.3607368Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.3607458Z             {
2022-11-23T01:32:29.3607661Z                 #pragma GCC ivdep
2022-11-23T01:32:29.3607802Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:29.3607903Z                 {
2022-11-23T01:32:29.3608002Z                     {
2022-11-23T01:32:29.3608147Z                         {
2022-11-23T01:32:29.3608314Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:32:29.3608464Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:32:29.3608604Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.3608771Z                             auto tmp3 = static_cast<long>(((6*i2) / 5));
2022-11-23T01:32:29.3608942Z                             auto tmp4 = static_cast<long>(2 + (((6*i2) / 5)));
2022-11-23T01:32:29.3609082Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:29.3609219Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:29.3609351Z                             float tmp7 = 0.0;
2022-11-23T01:32:29.3609470Z                             if(tmp6)
2022-11-23T01:32:29.3609567Z                             {
2022-11-23T01:32:29.3609737Z                                 auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3609904Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:29.3610052Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:29.3610179Z                                 tmp7 = tmp10;
2022-11-23T01:32:29.3610287Z                             }
2022-11-23T01:32:29.3610461Z                             auto tmp11 = static_cast<long>(1 + (((6*i2) / 5)));
2022-11-23T01:32:29.3610595Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:32:29.3610737Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:32:29.3610873Z                             float tmp14 = 0.0;
2022-11-23T01:32:29.3610988Z                             if(tmp13)
2022-11-23T01:32:29.3611095Z                             {
2022-11-23T01:32:29.3611270Z                                 auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3611430Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:32:29.3611596Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:29.3611727Z                                 tmp14 = tmp17;
2022-11-23T01:32:29.3611854Z                             }
2022-11-23T01:32:29.3611998Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:32:29.3612165Z                             auto tmp19 = static_cast<long>(1 + (3*i1));
2022-11-23T01:32:29.3612306Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:32:29.3612446Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:32:29.3612574Z                             float tmp22 = 0.0;
2022-11-23T01:32:29.3612680Z                             if(tmp21)
2022-11-23T01:32:29.3612784Z                             {
2022-11-23T01:32:29.3612957Z                                 auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3613119Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:32:29.3613279Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:32:29.3613405Z                                 tmp22 = tmp25;
2022-11-23T01:32:29.3613513Z                             }
2022-11-23T01:32:29.3613644Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:32:29.3613786Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:32:29.3613922Z                             float tmp28 = 0.0;
2022-11-23T01:32:29.3614043Z                             if(tmp27)
2022-11-23T01:32:29.3614153Z                             {
2022-11-23T01:32:29.3614321Z                                 auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3614486Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:32:29.3614690Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:32:29.3614812Z                                 tmp28 = tmp31;
2022-11-23T01:32:29.3614916Z                             }
2022-11-23T01:32:29.3615101Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:32:29.3615267Z                             auto tmp33 = static_cast<long>(2 + (3*i1));
2022-11-23T01:32:29.3615412Z                             auto tmp34 = tmp33 < tmp1;
2022-11-23T01:32:29.3615556Z                             auto tmp35 = tmp34 & tmp5;
2022-11-23T01:32:29.3615685Z                             float tmp36 = 0.0;
2022-11-23T01:32:29.3615794Z                             if(tmp35)
2022-11-23T01:32:29.3615904Z                             {
2022-11-23T01:32:29.3616074Z                                 auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3616237Z                                 auto tmp38 = static_cast<float>(1);
2022-11-23T01:32:29.3616387Z                                 auto tmp39 = tmp37 + tmp38;
2022-11-23T01:32:29.3616519Z                                 tmp36 = tmp39;
2022-11-23T01:32:29.3616630Z                             }
2022-11-23T01:32:29.3616783Z                             auto tmp40 = tmp36 + tmp32;
2022-11-23T01:32:29.3616914Z                             auto tmp41 = tmp34 & tmp12;
2022-11-23T01:32:29.3617049Z                             float tmp42 = 0.0;
2022-11-23T01:32:29.3617171Z                             if(tmp41)
2022-11-23T01:32:29.3617277Z                             {
2022-11-23T01:32:29.3617449Z                                 auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3617604Z                                 auto tmp44 = static_cast<float>(1);
2022-11-23T01:32:29.3617755Z                                 auto tmp45 = tmp43 + tmp44;
2022-11-23T01:32:29.3617874Z                                 tmp42 = tmp45;
2022-11-23T01:32:29.3617983Z                             }
2022-11-23T01:32:29.3618126Z                             auto tmp46 = tmp42 + tmp40;
2022-11-23T01:32:29.3618274Z                             auto tmp47 = tmp1 < tmp1;
2022-11-23T01:32:29.3618414Z                             auto tmp48 = tmp47 & tmp5;
2022-11-23T01:32:29.3618555Z                             float tmp49 = 0.0;
2022-11-23T01:32:29.3618676Z                             if(tmp48)
2022-11-23T01:32:29.3618779Z                             {
2022-11-23T01:32:29.3619130Z                                 auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3619302Z                                 auto tmp51 = static_cast<float>(1);
2022-11-23T01:32:29.3619446Z                                 auto tmp52 = tmp50 + tmp51;
2022-11-23T01:32:29.3619575Z                                 tmp49 = tmp52;
2022-11-23T01:32:29.3619686Z                             }
2022-11-23T01:32:29.3619829Z                             auto tmp53 = tmp49 + tmp46;
2022-11-23T01:32:29.3619979Z                             auto tmp54 = tmp47 & tmp12;
2022-11-23T01:32:29.3620104Z                             float tmp55 = 0.0;
2022-11-23T01:32:29.3620220Z                             if(tmp54)
2022-11-23T01:32:29.3620327Z                             {
2022-11-23T01:32:29.3620499Z                                 auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:29.3620665Z                                 auto tmp57 = static_cast<float>(1);
2022-11-23T01:32:29.3620811Z                                 auto tmp58 = tmp56 + tmp57;
2022-11-23T01:32:29.3620935Z                                 tmp55 = tmp58;
2022-11-23T01:32:29.3621044Z                             }
2022-11-23T01:32:29.3621180Z                             auto tmp59 = tmp55 + tmp53;
2022-11-23T01:32:29.3621307Z                             float tmp60 = 0.0;
2022-11-23T01:32:29.3621430Z                             if(tmp6)
2022-11-23T01:32:29.3621540Z                             {
2022-11-23T01:32:29.3621800Z                                 auto tmp61 = static_cast<float>(1);
2022-11-23T01:32:29.3621938Z                                 tmp60 = tmp61;
2022-11-23T01:32:29.3622046Z                             }
2022-11-23T01:32:29.3622168Z                             float tmp62 = 0.0;
2022-11-23T01:32:29.3622338Z                             if(tmp13)
2022-11-23T01:32:29.3622438Z                             {
2022-11-23T01:32:29.3622598Z                                 auto tmp63 = static_cast<float>(1);
2022-11-23T01:32:29.3622728Z                                 tmp62 = tmp63;
2022-11-23T01:32:29.3622839Z                             }
2022-11-23T01:32:29.3622976Z                             auto tmp64 = tmp62 + tmp60;
2022-11-23T01:32:29.3623098Z                             float tmp65 = 0.0;
2022-11-23T01:32:29.3623218Z                             if(tmp21)
2022-11-23T01:32:29.3623324Z                             {
2022-11-23T01:32:29.3623477Z                                 auto tmp66 = static_cast<float>(1);
2022-11-23T01:32:29.3623612Z                                 tmp65 = tmp66;
2022-11-23T01:32:29.3623722Z                             }
2022-11-23T01:32:29.3623862Z                             auto tmp67 = tmp65 + tmp64;
2022-11-23T01:32:29.3623983Z                             float tmp68 = 0.0;
2022-11-23T01:32:29.3624109Z                             if(tmp27)
2022-11-23T01:32:29.3624217Z                             {
2022-11-23T01:32:29.3624365Z                                 auto tmp69 = static_cast<float>(1);
2022-11-23T01:32:29.3624490Z                                 tmp68 = tmp69;
2022-11-23T01:32:29.3624594Z                             }
2022-11-23T01:32:29.3624738Z                             auto tmp70 = tmp68 + tmp67;
2022-11-23T01:32:29.3624864Z                             float tmp71 = 0.0;
2022-11-23T01:32:29.3624966Z                             if(tmp35)
2022-11-23T01:32:29.3625072Z                             {
2022-11-23T01:32:29.3625233Z                                 auto tmp72 = static_cast<float>(1);
2022-11-23T01:32:29.3625367Z                                 tmp71 = tmp72;
2022-11-23T01:32:29.3625471Z                             }
2022-11-23T01:32:29.3625616Z                             auto tmp73 = tmp71 + tmp70;
2022-11-23T01:32:29.3625756Z                             float tmp74 = 0.0;
2022-11-23T01:32:29.3625859Z                             if(tmp41)
2022-11-23T01:32:29.3625968Z                             {
2022-11-23T01:32:29.3626136Z                                 auto tmp75 = static_cast<float>(1);
2022-11-23T01:32:29.3626266Z                                 tmp74 = tmp75;
2022-11-23T01:32:29.3626366Z                             }
2022-11-23T01:32:29.3626510Z                             auto tmp76 = tmp74 + tmp73;
2022-11-23T01:32:29.3626644Z                             float tmp77 = 0.0;
2022-11-23T01:32:29.3626753Z                             if(tmp48)
2022-11-23T01:32:29.3626862Z                             {
2022-11-23T01:32:29.3627024Z                                 auto tmp78 = static_cast<float>(1);
2022-11-23T01:32:29.3627150Z                                 tmp77 = tmp78;
2022-11-23T01:32:29.3627260Z                             }
2022-11-23T01:32:29.3627405Z                             auto tmp79 = tmp77 + tmp76;
2022-11-23T01:32:29.3627540Z                             float tmp80 = 0.0;
2022-11-23T01:32:29.3627647Z                             if(tmp54)
2022-11-23T01:32:29.3627752Z                             {
2022-11-23T01:32:29.3627906Z                                 auto tmp81 = static_cast<float>(1);
2022-11-23T01:32:29.3628030Z                                 tmp80 = tmp81;
2022-11-23T01:32:29.3628138Z                             }
2022-11-23T01:32:29.3628283Z                             auto tmp82 = tmp80 + tmp79;
2022-11-23T01:32:29.3628423Z                             auto tmp83 = tmp59 / tmp82;
2022-11-23T01:32:29.3628581Z                             out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83;
2022-11-23T01:32:29.3628681Z                         }
2022-11-23T01:32:29.3628792Z                     }
2022-11-23T01:32:29.3628954Z                 }
2022-11-23T01:32:29.3629057Z             }
2022-11-23T01:32:29.3629159Z         }
2022-11-23T01:32:29.3629281Z         #pragma omp for 
2022-11-23T01:32:29.3629388Z         for(long i0=0; i0<36; i0+=1)
2022-11-23T01:32:29.3629531Z         {
2022-11-23T01:32:29.3629751Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3629890Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.3629989Z         }
2022-11-23T01:32:29.3630131Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3630370Z         for(long i0=288; i0<288; i0+=1)
2022-11-23T01:32:29.3630470Z         {
2022-11-23T01:32:29.3630590Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3630716Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:29.3630817Z         }
2022-11-23T01:32:29.3630916Z     }
2022-11-23T01:32:29.3631012Z }
2022-11-23T01:32:29.3631167Z ''')
2022-11-23T01:32:29.3631176Z 
2022-11-23T01:32:29.3631183Z 
2022-11-23T01:32:29.3631325Z async_compile.wait(globals())
2022-11-23T01:32:29.3631430Z del async_compile
2022-11-23T01:32:29.3631437Z 
2022-11-23T01:32:29.3631549Z def call(args):
2022-11-23T01:32:29.3631659Z     arg0_1, = args
2022-11-23T01:32:29.3631774Z     args.clear()
2022-11-23T01:32:29.3632086Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3632402Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3632636Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.3632733Z     del arg0_1
2022-11-23T01:32:29.3632852Z     return (buf1, buf0, )
2022-11-23T01:32:29.3632861Z 
2022-11-23T01:32:29.3632868Z 
2022-11-23T01:32:29.3632988Z if __name__ == "__main__":
2022-11-23T01:32:29.3633158Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3633341Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3633660Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3633821Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3634673Z [2022-11-23 01:21:44,327] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu74mmxne76kf4ebr23xw3altwqxec2wpsyfg5anhr4h6fv22rae.py
2022-11-23T01:32:29.3635097Z [2022-11-23 01:21:44,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8
2022-11-23T01:32:29.3635107Z 
2022-11-23T01:32:29.3635198Z ok (5.751s)
2022-11-23T01:32:29.3635662Z   test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3636110Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3636820Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3637306Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3637731Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3638228Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3638787Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3639266Z [2022-11-23 01:21:44,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3639975Z [2022-11-23 01:21:44,333] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940> 
2022-11-23T01:32:29.3640175Z  1941           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.3640342Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:29.3640528Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3640704Z                6 LOAD_CONST               1 ((4, 4))
2022-11-23T01:32:29.3640856Z                8 CALL_METHOD              2
2022-11-23T01:32:29.3641021Z               10 RETURN_VALUE
2022-11-23T01:32:29.3641136Z  
2022-11-23T01:32:29.3641144Z 
2022-11-23T01:32:29.3641628Z [2022-11-23 01:21:44,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1941
2022-11-23T01:32:29.3641993Z [2022-11-23 01:21:44,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.3642460Z [2022-11-23 01:21:44,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.3642877Z [2022-11-23 01:21:44,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:29.3643354Z [2022-11-23 01:21:44,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.3643867Z [2022-11-23 01:21:44,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.3644246Z [2022-11-23 01:21:44,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3644869Z [2022-11-23 01:21:44,340] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940>
2022-11-23T01:32:29.3645257Z [2022-11-23 01:21:44,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3645621Z [2022-11-23 01:21:44,340] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3646042Z [2022-11-23 01:21:44,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3646440Z [2022-11-23 01:21:44,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3646697Z [2022-11-23 01:21:44,343] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3646920Z  __compiled_fn_9 <eval_with_key>.71 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3647092Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3647334Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {}
2022-11-23T01:32:29.3647535Z output, output, output, ((_adaptive_avg_pool2d,),), {}
2022-11-23T01:32:29.3647544Z 
2022-11-23T01:32:29.3648028Z [2022-11-23 01:21:44,343] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3648215Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3648413Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3648556Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3648689Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3648842Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3649138Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3649321Z              12 RETURN_VALUE
2022-11-23T01:32:29.3649329Z 
2022-11-23T01:32:29.3649446Z  
2022-11-23T01:32:29.3649937Z [2022-11-23 01:21:44,343] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3650159Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_9)
2022-11-23T01:32:29.3650339Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3650497Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3650637Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3650820Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3650974Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.3651112Z              12 RETURN_VALUE
2022-11-23T01:32:29.3651120Z 
2022-11-23T01:32:29.3651249Z  
2022-11-23T01:32:29.3651539Z [2022-11-23 01:21:44,344] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3651645Z  - 
2022-11-23T01:32:29.3651850Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3652001Z             {
2022-11-23T01:32:29.3652235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3652528Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3652773Z                 'obj_weakref': None
2022-11-23T01:32:29.3653131Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3653218Z             }
2022-11-23T01:32:29.3653335Z             
2022-11-23T01:32:29.3653470Z  - 
2022-11-23T01:32:29.3653683Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3653829Z             {
2022-11-23T01:32:29.3654070Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3654241Z                 'code': None,
2022-11-23T01:32:29.3654535Z                 'obj_weakref': <weakref at 0x7f20680281d0; to 'Tensor' at 0x7f2127a0ef70>
2022-11-23T01:32:29.3654926Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3655044Z             }
2022-11-23T01:32:29.3655158Z             
2022-11-23T01:32:29.3655290Z  - 
2022-11-23T01:32:29.3655508Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3655652Z             {
2022-11-23T01:32:29.3655850Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3656124Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3656387Z                 'obj_weakref': None
2022-11-23T01:32:29.3656729Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3656852Z             }
2022-11-23T01:32:29.3656968Z             
2022-11-23T01:32:29.3657099Z  - 
2022-11-23T01:32:29.3657277Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3657400Z             {
2022-11-23T01:32:29.3657654Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3657996Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3658196Z                 'obj_weakref': None
2022-11-23T01:32:29.3658534Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3658653Z             }
2022-11-23T01:32:29.3658761Z             
2022-11-23T01:32:29.3659106Z  - 
2022-11-23T01:32:29.3659352Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.3659466Z             {
2022-11-23T01:32:29.3659980Z                 'guard_types': None,
2022-11-23T01:32:29.3660179Z                 'code': None,
2022-11-23T01:32:29.3660427Z                 'obj_weakref': None
2022-11-23T01:32:29.3660602Z                 'guarded_class': None
2022-11-23T01:32:29.3660724Z             }
2022-11-23T01:32:29.3660874Z             
2022-11-23T01:32:29.3661267Z [2022-11-23 01:21:44,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9
2022-11-23T01:32:29.3661636Z [2022-11-23 01:21:44,348] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:29.3662195Z [2022-11-23 01:21:44,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zi/czillucaj32yykplqlhiq5zpulilw47ytd726jvq6st6toqb4tn7.py
2022-11-23T01:32:29.3662668Z [2022-11-23 01:21:44,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9
2022-11-23T01:32:29.3662679Z 
2022-11-23T01:32:29.3662841Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3662971Z import torch
2022-11-23T01:32:29.3663073Z import random
2022-11-23T01:32:29.3663309Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3663506Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3663515Z 
2022-11-23T01:32:29.3663666Z aten = torch.ops.aten
2022-11-23T01:32:29.3663879Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3664071Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3664079Z 
2022-11-23T01:32:29.3664259Z import triton
2022-11-23T01:32:29.3664384Z import triton.language as tl
2022-11-23T01:32:29.3664578Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3664795Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3664803Z 
2022-11-23T01:32:29.3664809Z 
2022-11-23T01:32:29.3664988Z async_compile.wait(globals())
2022-11-23T01:32:29.3665143Z del async_compile
2022-11-23T01:32:29.3665151Z 
2022-11-23T01:32:29.3665280Z def call(args):
2022-11-23T01:32:29.3665398Z     arg0_1, = args
2022-11-23T01:32:29.3665538Z     args.clear()
2022-11-23T01:32:29.3665700Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2022-11-23T01:32:29.3665846Z     del arg0_1
2022-11-23T01:32:29.3665970Z     buf1 = buf0
2022-11-23T01:32:29.3666161Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2022-11-23T01:32:29.3666275Z     del buf0
2022-11-23T01:32:29.3666414Z     return (buf1, )
2022-11-23T01:32:29.3666422Z 
2022-11-23T01:32:29.3666428Z 
2022-11-23T01:32:29.3666590Z if __name__ == "__main__":
2022-11-23T01:32:29.3666751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3666953Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3667352Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3667545Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3667554Z 
2022-11-23T01:32:29.3667688Z ok (0.022s)
2022-11-23T01:32:29.3668151Z   test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3668619Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3669002Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3669378Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3669770Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3670242Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3670854Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3671359Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3671935Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649> 
2022-11-23T01:32:29.3672114Z  650           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.3672273Z               2 LOAD_CONST               1 (1.5)
2022-11-23T01:32:29.3672409Z               4 BINARY_ADD
2022-11-23T01:32:29.3672594Z               6 BUILD_TUPLE              1
2022-11-23T01:32:29.3672702Z               8 RETURN_VALUE
2022-11-23T01:32:29.3672865Z  
2022-11-23T01:32:29.3672874Z 
2022-11-23T01:32:29.3673437Z [2022-11-23 01:21:44,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650
2022-11-23T01:32:29.3673817Z [2022-11-23 01:21:44,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.3674191Z [2022-11-23 01:21:44,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T01:32:29.3674619Z [2022-11-23 01:21:44,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.3675013Z [2022-11-23 01:21:44,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.3675382Z [2022-11-23 01:21:44,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3675951Z [2022-11-23 01:21:44,356] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649>
2022-11-23T01:32:29.3676345Z [2022-11-23 01:21:44,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3676675Z [2022-11-23 01:21:44,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3677054Z [2022-11-23 01:21:44,357] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3677436Z [2022-11-23 01:21:44,359] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3677751Z [2022-11-23 01:21:44,359] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3677972Z  __compiled_fn_10 <eval_with_key>.77 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3678122Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3678415Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T01:32:29.3678653Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.3678662Z 
2022-11-23T01:32:29.3679148Z [2022-11-23 01:21:44,359] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3679289Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3679451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3679598Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3679794Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3679952Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3680097Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3680238Z              12 RETURN_VALUE
2022-11-23T01:32:29.3680246Z 
2022-11-23T01:32:29.3680358Z  
2022-11-23T01:32:29.3680812Z [2022-11-23 01:21:44,359] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3680993Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_10)
2022-11-23T01:32:29.3681147Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3681304Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3681453Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3681602Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3681774Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3681916Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3682122Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3682262Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3682439Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.3682574Z              20 RETURN_VALUE
2022-11-23T01:32:29.3682583Z 
2022-11-23T01:32:29.3682712Z  
2022-11-23T01:32:29.3683003Z [2022-11-23 01:21:44,360] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3683140Z  - 
2022-11-23T01:32:29.3683363Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3683489Z             {
2022-11-23T01:32:29.3683723Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3684011Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3684268Z                 'obj_weakref': None
2022-11-23T01:32:29.3684596Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3684719Z             }
2022-11-23T01:32:29.3684812Z             
2022-11-23T01:32:29.3684947Z  - 
2022-11-23T01:32:29.3685201Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3685357Z             {
2022-11-23T01:32:29.3685587Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3685785Z                 'code': None,
2022-11-23T01:32:29.3686099Z                 'obj_weakref': <weakref at 0x7f20680acb30; to 'Tensor' at 0x7f20681c6890>
2022-11-23T01:32:29.3686449Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3686571Z             }
2022-11-23T01:32:29.3686687Z             
2022-11-23T01:32:29.3686824Z  - 
2022-11-23T01:32:29.3687042Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3687164Z             {
2022-11-23T01:32:29.3687398Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3687629Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3687834Z                 'obj_weakref': None
2022-11-23T01:32:29.3688179Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3688635Z             }
2022-11-23T01:32:29.3688756Z             
2022-11-23T01:32:29.3688898Z  - 
2022-11-23T01:32:29.3689147Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3689233Z             {
2022-11-23T01:32:29.3689469Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3689806Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3690004Z                 'obj_weakref': None
2022-11-23T01:32:29.3690348Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3690464Z             }
2022-11-23T01:32:29.3690618Z             
2022-11-23T01:32:29.3691014Z [2022-11-23 01:21:44,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10
2022-11-23T01:32:29.3691485Z [2022-11-23 01:21:46,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3h/c3h2t6phby2ckweerhmf2cacdjkp6mdc5xl2wrsa4n7gbvyhui7x.py
2022-11-23T01:32:29.3691878Z [2022-11-23 01:21:46,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10
2022-11-23T01:32:29.3691886Z 
2022-11-23T01:32:29.3692046Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3801215Z import torch
2022-11-23T01:32:29.3801521Z import random
2022-11-23T01:32:29.3801741Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3801922Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3801942Z 
2022-11-23T01:32:29.3802046Z aten = torch.ops.aten
2022-11-23T01:32:29.3802256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3802396Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3802404Z 
2022-11-23T01:32:29.3802513Z import triton
2022-11-23T01:32:29.3802641Z import triton.language as tl
2022-11-23T01:32:29.3802822Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3803019Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3803027Z 
2022-11-23T01:32:29.3803034Z 
2022-11-23T01:32:29.3803351Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3803635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3803812Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3804305Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.3804410Z {
2022-11-23T01:32:29.3804556Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3804657Z     {
2022-11-23T01:32:29.3804851Z         #pragma omp for 
2022-11-23T01:32:29.3804966Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.3805063Z         {
2022-11-23T01:32:29.3805291Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3805490Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.5));
2022-11-23T01:32:29.3805619Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3805758Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3805854Z         }
2022-11-23T01:32:29.3805984Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3806111Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:29.3806209Z         {
2022-11-23T01:32:29.3806331Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3806488Z             auto tmp1 = static_cast<float>(1.5);
2022-11-23T01:32:29.3806616Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3806734Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.3806822Z         }
2022-11-23T01:32:29.3806925Z     }
2022-11-23T01:32:29.3807021Z }
2022-11-23T01:32:29.3807150Z ''')
2022-11-23T01:32:29.3807158Z 
2022-11-23T01:32:29.3807165Z 
2022-11-23T01:32:29.3807299Z async_compile.wait(globals())
2022-11-23T01:32:29.3807413Z del async_compile
2022-11-23T01:32:29.3807421Z 
2022-11-23T01:32:29.3807531Z def call(args):
2022-11-23T01:32:29.3807622Z     arg0_1, = args
2022-11-23T01:32:29.3807731Z     args.clear()
2022-11-23T01:32:29.3808020Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3808208Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.3808315Z     del arg0_1
2022-11-23T01:32:29.3808424Z     return (buf0, )
2022-11-23T01:32:29.3808432Z 
2022-11-23T01:32:29.3808438Z 
2022-11-23T01:32:29.3808551Z if __name__ == "__main__":
2022-11-23T01:32:29.3808723Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3808886Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3809170Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3809328Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3809336Z 
2022-11-23T01:32:29.3809439Z ok (1.702s)
2022-11-23T01:32:29.3809889Z   test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3810345Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3810662Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3811032Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3811429Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3811922Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3812412Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3812870Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3813389Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643> 
2022-11-23T01:32:29.3813584Z  644           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.3813729Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.3813840Z               4 BINARY_ADD
2022-11-23T01:32:29.3813973Z               6 BUILD_TUPLE              1
2022-11-23T01:32:29.3814130Z               8 RETURN_VALUE
2022-11-23T01:32:29.3814216Z  
2022-11-23T01:32:29.3814225Z 
2022-11-23T01:32:29.3814673Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644
2022-11-23T01:32:29.3814969Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.3815308Z [2022-11-23 01:21:46,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.3815708Z [2022-11-23 01:21:46,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3816063Z [2022-11-23 01:21:46,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.3816406Z [2022-11-23 01:21:46,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3816945Z [2022-11-23 01:21:46,059] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643>
2022-11-23T01:32:29.3817297Z [2022-11-23 01:21:46,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3817630Z [2022-11-23 01:21:46,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3817971Z [2022-11-23 01:21:46,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3818330Z [2022-11-23 01:21:46,062] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3818607Z [2022-11-23 01:21:46,062] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3818994Z  __compiled_fn_11 <eval_with_key>.83 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3819143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3819411Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.3819553Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.3819562Z 
2022-11-23T01:32:29.3820029Z [2022-11-23 01:21:46,062] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3820173Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3820294Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3820431Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3820572Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3820692Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3820826Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3820948Z              12 RETURN_VALUE
2022-11-23T01:32:29.3820956Z 
2022-11-23T01:32:29.3821052Z  
2022-11-23T01:32:29.3821505Z [2022-11-23 01:21:46,063] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3821671Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_11)
2022-11-23T01:32:29.3821809Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3821940Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3822051Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3822187Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.3822338Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3822495Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3822620Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3822735Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.3822953Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.3823077Z              20 RETURN_VALUE
2022-11-23T01:32:29.3823085Z 
2022-11-23T01:32:29.3823177Z  
2022-11-23T01:32:29.3823459Z [2022-11-23 01:21:46,063] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3823618Z  - 
2022-11-23T01:32:29.3823783Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3823882Z             {
2022-11-23T01:32:29.3824089Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3824359Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.3824541Z                 'obj_weakref': None
2022-11-23T01:32:29.3824864Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3824961Z             }
2022-11-23T01:32:29.3825051Z             
2022-11-23T01:32:29.3825163Z  - 
2022-11-23T01:32:29.3825351Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3825445Z             {
2022-11-23T01:32:29.3825664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3825833Z                 'code': None,
2022-11-23T01:32:29.3826131Z                 'obj_weakref': <weakref at 0x7f20680ae0c0; to 'Tensor' at 0x7f206819cae0>
2022-11-23T01:32:29.3826477Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3826577Z             }
2022-11-23T01:32:29.3826676Z             
2022-11-23T01:32:29.3826781Z  - 
2022-11-23T01:32:29.3826976Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3827081Z             {
2022-11-23T01:32:29.3827273Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3827516Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3827686Z                 'obj_weakref': None
2022-11-23T01:32:29.3828016Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3828110Z             }
2022-11-23T01:32:29.3828211Z             
2022-11-23T01:32:29.3828322Z  - 
2022-11-23T01:32:29.3828505Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3828587Z             {
2022-11-23T01:32:29.3828797Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3829108Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3829290Z                 'obj_weakref': None
2022-11-23T01:32:29.3829601Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3829709Z             }
2022-11-23T01:32:29.3829805Z             
2022-11-23T01:32:29.3830181Z [2022-11-23 01:21:46,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11
2022-11-23T01:32:29.3830791Z [2022-11-23 01:21:47,671] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/26/c26yff46xfe55lgfeu7bh5bvwxqlhyfh5bxno3naywng7mojhxf4.py
2022-11-23T01:32:29.3831181Z [2022-11-23 01:21:47,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11
2022-11-23T01:32:29.3831191Z 
2022-11-23T01:32:29.3831325Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3831436Z import torch
2022-11-23T01:32:29.3831545Z import random
2022-11-23T01:32:29.3831717Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3831910Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3831920Z 
2022-11-23T01:32:29.3832050Z aten = torch.ops.aten
2022-11-23T01:32:29.3832264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3832397Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3832406Z 
2022-11-23T01:32:29.3832515Z import triton
2022-11-23T01:32:29.3832654Z import triton.language as tl
2022-11-23T01:32:29.3832827Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3833026Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3833034Z 
2022-11-23T01:32:29.3833096Z 
2022-11-23T01:32:29.3833309Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3833594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3833815Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3833953Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.3834046Z {
2022-11-23T01:32:29.3834192Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3834289Z     {
2022-11-23T01:32:29.3834407Z         #pragma omp for 
2022-11-23T01:32:29.3834525Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.3834628Z         {
2022-11-23T01:32:29.3834821Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3835015Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.3835145Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3835283Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3835384Z         }
2022-11-23T01:32:29.3835517Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3835647Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:29.3835738Z         {
2022-11-23T01:32:29.3835856Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3835996Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.3836115Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3836225Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.3836324Z         }
2022-11-23T01:32:29.3836412Z     }
2022-11-23T01:32:29.3836496Z }
2022-11-23T01:32:29.3836629Z ''')
2022-11-23T01:32:29.3836636Z 
2022-11-23T01:32:29.3836643Z 
2022-11-23T01:32:29.3836779Z async_compile.wait(globals())
2022-11-23T01:32:29.3836895Z del async_compile
2022-11-23T01:32:29.3836902Z 
2022-11-23T01:32:29.3837003Z def call(args):
2022-11-23T01:32:29.3837108Z     arg0_1, = args
2022-11-23T01:32:29.3837217Z     args.clear()
2022-11-23T01:32:29.3837488Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3837669Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.3837771Z     del arg0_1
2022-11-23T01:32:29.3837880Z     return (buf0, )
2022-11-23T01:32:29.3837887Z 
2022-11-23T01:32:29.3837892Z 
2022-11-23T01:32:29.3838000Z if __name__ == "__main__":
2022-11-23T01:32:29.3838167Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3838345Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3838629Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3838781Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.3838797Z 
2022-11-23T01:32:29.3838885Z ok (1.625s)
2022-11-23T01:32:29.3839348Z   test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3839798Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3840108Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3840468Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3840857Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3841304Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3841785Z [2022-11-23 01:21:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3842275Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3842799Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655> 
2022-11-23T01:32:29.3842966Z  656           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.3843100Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:29.3843239Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:29.3843368Z               6 CALL_METHOD              1
2022-11-23T01:32:29.3843479Z               8 RETURN_VALUE
2022-11-23T01:32:29.3843578Z  
2022-11-23T01:32:29.3843586Z 
2022-11-23T01:32:29.3844042Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656
2022-11-23T01:32:29.3844343Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.3844677Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:29.3845067Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:29.3845503Z [2022-11-23 01:21:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:29.3845849Z [2022-11-23 01:21:47,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3846349Z [2022-11-23 01:21:47,684] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655>
2022-11-23T01:32:29.3846679Z [2022-11-23 01:21:47,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.3847010Z [2022-11-23 01:21:47,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3847366Z [2022-11-23 01:21:47,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3847780Z [2022-11-23 01:21:47,687] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.3848130Z [2022-11-23 01:21:47,687] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.3848478Z [2022-11-23 01:21:47,687] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3848752Z [2022-11-23 01:21:47,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3848942Z  __compiled_fn_12 <eval_with_key>.86 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3849073Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3849204Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.3849346Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.3849485Z output, output, output, ((add_,),), {}
2022-11-23T01:32:29.3849493Z 
2022-11-23T01:32:29.3849936Z [2022-11-23 01:21:47,688] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3850075Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3850198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3850326Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3850456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3850580Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3850707Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3850815Z              12 RETURN_VALUE
2022-11-23T01:32:29.3850822Z 
2022-11-23T01:32:29.3850912Z  
2022-11-23T01:32:29.3851491Z [2022-11-23 01:21:47,688] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3851657Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_12)
2022-11-23T01:32:29.3851783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3851941Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3852054Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3852180Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3852309Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3852418Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.3852534Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.3852659Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.3852769Z              18 RETURN_VALUE
2022-11-23T01:32:29.3852776Z 
2022-11-23T01:32:29.3852866Z  
2022-11-23T01:32:29.3853124Z [2022-11-23 01:21:47,688] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3853228Z  - 
2022-11-23T01:32:29.3853400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3853488Z             {
2022-11-23T01:32:29.3853682Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3853935Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.3854116Z                 'obj_weakref': None
2022-11-23T01:32:29.3854420Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3854518Z             }
2022-11-23T01:32:29.3854613Z             
2022-11-23T01:32:29.3854712Z  - 
2022-11-23T01:32:29.3854895Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3854993Z             {
2022-11-23T01:32:29.3855196Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3855347Z                 'code': None,
2022-11-23T01:32:29.3855623Z                 'obj_weakref': <weakref at 0x7f20680b0cc0; to 'Tensor' at 0x7f20681c6890>
2022-11-23T01:32:29.3855953Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3856039Z             }
2022-11-23T01:32:29.3856133Z             
2022-11-23T01:32:29.3856236Z  - 
2022-11-23T01:32:29.3856408Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.3856508Z             {
2022-11-23T01:32:29.3856709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3856868Z                 'code': None,
2022-11-23T01:32:29.3857145Z                 'obj_weakref': <weakref at 0x7f20680b2890; to 'Tensor' at 0x7f20681c5ad0>
2022-11-23T01:32:29.3857475Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3857572Z             }
2022-11-23T01:32:29.3857665Z             
2022-11-23T01:32:29.3857769Z  - 
2022-11-23T01:32:29.3857952Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3858044Z             {
2022-11-23T01:32:29.3858225Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3858464Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3858636Z                 'obj_weakref': None
2022-11-23T01:32:29.3859111Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3859217Z             }
2022-11-23T01:32:29.3859308Z             
2022-11-23T01:32:29.3859417Z  - 
2022-11-23T01:32:29.3859586Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3859683Z             {
2022-11-23T01:32:29.3859875Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3860177Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3860347Z                 'obj_weakref': None
2022-11-23T01:32:29.3860641Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3860737Z             }
2022-11-23T01:32:29.3860823Z             
2022-11-23T01:32:29.3861328Z [2022-11-23 01:21:47,688] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py
2022-11-23T01:32:29.3861755Z [2022-11-23 01:21:47,688] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.3862226Z [2022-11-23 01:21:47,688] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.3862621Z [2022-11-23 01:21:47,688] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.3863039Z [2022-11-23 01:21:47,688] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:29.3863383Z [2022-11-23 01:21:47,689] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.10/functools.py
2022-11-23T01:32:29.3863760Z [2022-11-23 01:21:47,689] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.10/functools.py
2022-11-23T01:32:29.3863858Z ok (0.011s)
2022-11-23T01:32:29.3864270Z   test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:21:47,692] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3864687Z [2022-11-23 01:21:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3864992Z [2022-11-23 01:21:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3865342Z [2022-11-23 01:21:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3865718Z [2022-11-23 01:21:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3866158Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3866629Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3867064Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3867569Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333> 
2022-11-23T01:32:29.3867711Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3867849Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T01:32:29.3867974Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.3868107Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:29.3868216Z                8 BINARY_ADD
2022-11-23T01:32:29.3868346Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:29.3868472Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.3868573Z               14 BINARY_ADD
2022-11-23T01:32:29.3868699Z               16 LOAD_FAST                2 (c)
2022-11-23T01:32:29.3868815Z               18 LOAD_CONST               3 (3)
2022-11-23T01:32:29.3868921Z               20 BINARY_ADD
2022-11-23T01:32:29.3869045Z               22 CALL_METHOD              3
2022-11-23T01:32:29.3869170Z               24 LOAD_CONST               4 (4)
2022-11-23T01:32:29.3869278Z               26 BINARY_ADD
2022-11-23T01:32:29.3869413Z               28 BUILD_TUPLE              1
2022-11-23T01:32:29.3869527Z               30 RETURN_VALUE
2022-11-23T01:32:29.3869607Z  
2022-11-23T01:32:29.3869624Z 
2022-11-23T01:32:29.3870052Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334
2022-11-23T01:32:29.3870506Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.3871021Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.3871485Z [2022-11-23 01:21:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.3871951Z [2022-11-23 01:21:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.3872463Z [2022-11-23 01:21:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3872939Z [2022-11-23 01:21:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.3873438Z [2022-11-23 01:21:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3873996Z [2022-11-23 01:21:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3874496Z [2022-11-23 01:21:47,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3875037Z [2022-11-23 01:21:47,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3875625Z [2022-11-23 01:21:47,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3876172Z [2022-11-23 01:21:47,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.3876492Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:29.3876874Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.3877201Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.3877537Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3878042Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333>
2022-11-23T01:32:29.3878387Z [2022-11-23 01:21:47,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.3878701Z [2022-11-23 01:21:47,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.3879047Z [2022-11-23 01:21:47,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.3879388Z [2022-11-23 01:21:47,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.3879658Z [2022-11-23 01:21:47,706] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.3879883Z  __compiled_fn_13 <eval_with_key>.92 opcode, name, target, args, kwargs
2022-11-23T01:32:29.3880021Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.3880146Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.3880271Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.3880551Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.3880795Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:29.3881036Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:29.3881382Z call_function, addmm, <built-in method addmm of type object at 0x7f209c394c60>, (add, add_1, add_2), {}
2022-11-23T01:32:29.3881623Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T01:32:29.3881764Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:29.3881771Z 
2022-11-23T01:32:29.3882215Z [2022-11-23 01:21:47,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3882357Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.3882490Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3882614Z               4 BUILD_MAP                0
2022-11-23T01:32:29.3882750Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.3882869Z               8 DICT_MERGE               1
2022-11-23T01:32:29.3882988Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.3883100Z              12 RETURN_VALUE
2022-11-23T01:32:29.3883108Z 
2022-11-23T01:32:29.3883202Z  
2022-11-23T01:32:29.3883647Z [2022-11-23 01:21:47,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.3883806Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_13)
2022-11-23T01:32:29.3883935Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3884066Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3884179Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.3884299Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3884424Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.3884538Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.3884672Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.3884803Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.3884919Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.3885048Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.3885189Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.3885339Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.3885466Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.3885580Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.3885711Z              30 BUILD_TUPLE              1
2022-11-23T01:32:29.3885824Z              32 RETURN_VALUE
2022-11-23T01:32:29.3885832Z 
2022-11-23T01:32:29.3885924Z  
2022-11-23T01:32:29.3886180Z [2022-11-23 01:21:47,707] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.3886294Z  - 
2022-11-23T01:32:29.3886471Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.3886575Z             {
2022-11-23T01:32:29.3886779Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.3887043Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.3887220Z                 'obj_weakref': None
2022-11-23T01:32:29.3887520Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.3887616Z             }
2022-11-23T01:32:29.3887710Z             
2022-11-23T01:32:29.3887822Z  - 
2022-11-23T01:32:29.3888007Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.3888108Z             {
2022-11-23T01:32:29.3888316Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3888467Z                 'code': None,
2022-11-23T01:32:29.3888804Z                 'obj_weakref': <weakref at 0x7f20680b0db0; to 'Tensor' at 0x7f2068206570>
2022-11-23T01:32:29.3889155Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3889284Z             }
2022-11-23T01:32:29.3889380Z             
2022-11-23T01:32:29.3889491Z  - 
2022-11-23T01:32:29.3889674Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.3889762Z             {
2022-11-23T01:32:29.3889963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3890123Z                 'code': None,
2022-11-23T01:32:29.3890418Z                 'obj_weakref': <weakref at 0x7f20680b0c70; to 'Tensor' at 0x7f2151ece890>
2022-11-23T01:32:29.3890762Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3890859Z             }
2022-11-23T01:32:29.3890956Z             
2022-11-23T01:32:29.3891067Z  - 
2022-11-23T01:32:29.3891239Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.3891337Z             {
2022-11-23T01:32:29.3891542Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.3891701Z                 'code': None,
2022-11-23T01:32:29.3891986Z                 'obj_weakref': <weakref at 0x7f20680b3100; to 'Tensor' at 0x7f2151ece8e0>
2022-11-23T01:32:29.3892325Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.3892423Z             }
2022-11-23T01:32:29.3892511Z             
2022-11-23T01:32:29.3892620Z  - 
2022-11-23T01:32:29.3892812Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.3892907Z             {
2022-11-23T01:32:29.3893101Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.3893347Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.3893526Z                 'obj_weakref': None
2022-11-23T01:32:29.3893835Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.3893931Z             }
2022-11-23T01:32:29.3894028Z             
2022-11-23T01:32:29.3894137Z  - 
2022-11-23T01:32:29.3894316Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.3894417Z             {
2022-11-23T01:32:29.3894615Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.3894916Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.3895088Z                 'obj_weakref': None
2022-11-23T01:32:29.3895398Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.3895497Z             }
2022-11-23T01:32:29.3895591Z             
2022-11-23T01:32:29.3895695Z  - 
2022-11-23T01:32:29.3895893Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.3895984Z             {
2022-11-23T01:32:29.3896156Z                 'guard_types': None,
2022-11-23T01:32:29.3896316Z                 'code': None,
2022-11-23T01:32:29.3896495Z                 'obj_weakref': None
2022-11-23T01:32:29.3896673Z                 'guarded_class': None
2022-11-23T01:32:29.3896770Z             }
2022-11-23T01:32:29.3896867Z             
2022-11-23T01:32:29.3897208Z [2022-11-23 01:21:47,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12
2022-11-23T01:32:29.3936800Z [2022-11-23 01:21:49,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpox3eo66mjnaoei6bynlynu64rq54qfroinpn5dk6xhn6bzgvz.py
2022-11-23T01:32:29.3937583Z [2022-11-23 01:21:49,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12
2022-11-23T01:32:29.3937880Z 
2022-11-23T01:32:29.3938027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.3938325Z import torch
2022-11-23T01:32:29.3938573Z import random
2022-11-23T01:32:29.3939288Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.3939681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.3940082Z 
2022-11-23T01:32:29.3940196Z aten = torch.ops.aten
2022-11-23T01:32:29.3940567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.3940940Z async_compile = AsyncCompile()
2022-11-23T01:32:29.3941210Z 
2022-11-23T01:32:29.3941324Z import triton
2022-11-23T01:32:29.3941602Z import triton.language as tl
2022-11-23T01:32:29.3941961Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.3942384Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.3942636Z 
2022-11-23T01:32:29.3942643Z 
2022-11-23T01:32:29.3942855Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.3943341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3943825Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.3944194Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.3944541Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.3944895Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.3945231Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.3945573Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.3945841Z {
2022-11-23T01:32:29.3946110Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3946396Z     {
2022-11-23T01:32:29.3946635Z         #pragma omp for 
2022-11-23T01:32:29.3946927Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3947198Z         {
2022-11-23T01:32:29.3947545Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.3948682Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.3949034Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3949347Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.3949616Z         }
2022-11-23T01:32:29.3949898Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3950220Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.3950600Z         {
2022-11-23T01:32:29.3950858Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.3951183Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.3951493Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3951789Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.3952059Z         }
2022-11-23T01:32:29.3952328Z         #pragma omp for 
2022-11-23T01:32:29.3952612Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3952890Z         {
2022-11-23T01:32:29.3953230Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.3953652Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.3953988Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3954292Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.3954570Z         }
2022-11-23T01:32:29.3954839Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3955163Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.3955435Z         {
2022-11-23T01:32:29.3955688Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.3956033Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.3956362Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3956653Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.3956912Z         }
2022-11-23T01:32:29.3957172Z         #pragma omp for 
2022-11-23T01:32:29.3957458Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3957715Z         {
2022-11-23T01:32:29.3958051Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:29.3958477Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.3958826Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3959095Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.3959357Z         }
2022-11-23T01:32:29.3959612Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3959965Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.3960236Z         {
2022-11-23T01:32:29.3960499Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:29.3960997Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.3961396Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3961724Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:29.3961984Z         }
2022-11-23T01:32:29.3962217Z     }
2022-11-23T01:32:29.3962448Z }
2022-11-23T01:32:29.3962720Z ''')
2022-11-23T01:32:29.3962860Z 
2022-11-23T01:32:29.3962867Z 
2022-11-23T01:32:29.3963074Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:29.3963550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.3964028Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:29.3964326Z {
2022-11-23T01:32:29.3964599Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.3964890Z     {
2022-11-23T01:32:29.3965135Z         #pragma omp for 
2022-11-23T01:32:29.3965425Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.3965690Z         {
2022-11-23T01:32:29.3966059Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.3966649Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:29.3967098Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3967429Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.3967865Z         }
2022-11-23T01:32:29.3968184Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.3968504Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.3968822Z         {
2022-11-23T01:32:29.3969130Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:29.3970121Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:29.3970457Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.3970881Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.3971186Z         }
2022-11-23T01:32:29.3971434Z     }
2022-11-23T01:32:29.3971755Z }
2022-11-23T01:32:29.3972055Z ''')
2022-11-23T01:32:29.3972180Z 
2022-11-23T01:32:29.3972187Z 
2022-11-23T01:32:29.3972342Z async_compile.wait(globals())
2022-11-23T01:32:29.3972703Z del async_compile
2022-11-23T01:32:29.3972881Z 
2022-11-23T01:32:29.3973022Z def call(args):
2022-11-23T01:32:29.3973343Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.3973721Z     args.clear()
2022-11-23T01:32:29.3974203Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3974713Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3975293Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3975869Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.3976341Z     del arg0_1
2022-11-23T01:32:29.3976608Z     del arg1_1
2022-11-23T01:32:29.3977353Z     del arg2_1
2022-11-23T01:32:29.3977830Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3978231Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T01:32:29.3980023Z     del buf0
2022-11-23T01:32:29.3980302Z     del buf1
2022-11-23T01:32:29.3980549Z     del buf2
2022-11-23T01:32:29.3980852Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:29.3981247Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.3981551Z     return (buf4, )
2022-11-23T01:32:29.3981729Z 
2022-11-23T01:32:29.3981736Z 
2022-11-23T01:32:29.3981870Z if __name__ == "__main__":
2022-11-23T01:32:29.3982188Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.3982555Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.3982966Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3983478Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3983862Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.3984153Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.3984403Z 
2022-11-23T01:32:29.3984498Z ok (1.684s)
2022-11-23T01:32:29.3984976Z   test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.3985549Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.3986026Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.3986531Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.3987053Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.3987611Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3988212Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3988807Z [2022-11-23 01:21:49,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.3989452Z [2022-11-23 01:21:49,490] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077> 
2022-11-23T01:32:29.3989873Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3990133Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.3990534Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.3990807Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T01:32:29.3990962Z 
2022-11-23T01:32:29.3991054Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T01:32:29.3991340Z               10 LOAD_FAST                1 (arg7)
2022-11-23T01:32:29.3991593Z               12 LOAD_FAST                0 (arg6)
2022-11-23T01:32:29.3991843Z               14 LOAD_CONST               1 (4)
2022-11-23T01:32:29.3992074Z               16 LOAD_CONST               1 (4)
2022-11-23T01:32:29.3992343Z               18 BUILD_LIST               2
2022-11-23T01:32:29.3992597Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:29.3992825Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:29.3993118Z               24 BUILD_LIST               2
2022-11-23T01:32:29.3993374Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:29.3993615Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:29.3993861Z               30 BUILD_LIST               2
2022-11-23T01:32:29.3994115Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:29.3994346Z               34 LOAD_CONST               5 (0)
2022-11-23T01:32:29.3994599Z               36 LOAD_CONST               5 (0)
2022-11-23T01:32:29.3994857Z               38 BUILD_LIST               2
2022-11-23T01:32:29.3995141Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:29.3995261Z 
2022-11-23T01:32:29.3995373Z 2078          42 CALL_METHOD              9
2022-11-23T01:32:29.3995644Z               44 STORE_FAST               3 (convolution)
2022-11-23T01:32:29.3995804Z 
2022-11-23T01:32:29.3995936Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3996174Z               48 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.3996429Z               50 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.3996692Z               52 LOAD_METHOD              4 (relu)
2022-11-23T01:32:29.3996977Z               54 LOAD_FAST                3 (convolution)
2022-11-23T01:32:29.3997251Z               56 CALL_METHOD              1
2022-11-23T01:32:29.3997548Z               58 STORE_FAST               4 (relu)
2022-11-23T01:32:29.3997735Z 
2022-11-23T01:32:29.3997853Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.3998088Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.3998341Z               64 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.3998641Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T01:32:29.3998807Z 
2022-11-23T01:32:29.3998898Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T01:32:29.3999147Z               70 LOAD_CONST               6 (3)
2022-11-23T01:32:29.3999394Z               72 LOAD_CONST               6 (3)
2022-11-23T01:32:29.3999621Z               74 BUILD_LIST               2
2022-11-23T01:32:29.3999926Z               76 LOAD_CONST               2 (2)
2022-11-23T01:32:29.4000175Z               78 LOAD_CONST               2 (2)
2022-11-23T01:32:29.4000425Z               80 BUILD_LIST               2
2022-11-23T01:32:29.4000546Z 
2022-11-23T01:32:29.4000657Z 2082          82 CALL_METHOD              3
2022-11-23T01:32:29.4000954Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T01:32:29.4001121Z 
2022-11-23T01:32:29.4001252Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T01:32:29.4001501Z               88 LOAD_CONST               5 (0)
2022-11-23T01:32:29.4001736Z               90 BINARY_SUBSCR
2022-11-23T01:32:29.4001993Z               92 STORE_FAST               6 (getitem)
2022-11-23T01:32:29.4002158Z 
2022-11-23T01:32:29.4002314Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T01:32:29.4002549Z               96 BUILD_TUPLE              1
2022-11-23T01:32:29.4002782Z               98 RETURN_VALUE
2022-11-23T01:32:29.4003000Z  
2022-11-23T01:32:29.4003088Z 
2022-11-23T01:32:29.4003429Z [2022-11-23 01:21:49,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:29.4003926Z [2022-11-23 01:21:49,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4004501Z [2022-11-23 01:21:49,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4005089Z [2022-11-23 01:21:49,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.4005629Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.4006249Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079
2022-11-23T01:32:29.4006784Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T01:32:29.4007319Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:29.4007866Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4008464Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4009127Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4009878Z [2022-11-23 01:21:49,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4010564Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.4011253Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4012054Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4012784Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.4013505Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4014281Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4015030Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.4015808Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.4016626Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:29.4017511Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4018397Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:29.4019351Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:29.4020372Z [2022-11-23 01:21:49,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4021043Z [2022-11-23 01:21:49,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T01:32:29.4021595Z [2022-11-23 01:21:49,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081
2022-11-23T01:32:29.4022118Z [2022-11-23 01:21:49,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4022758Z [2022-11-23 01:21:49,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4023330Z [2022-11-23 01:21:49,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.4023958Z [2022-11-23 01:21:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.4024496Z [2022-11-23 01:21:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T01:32:29.4025012Z [2022-11-23 01:21:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T01:32:29.4025492Z [2022-11-23 01:21:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T01:32:29.4026028Z [2022-11-23 01:21:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:29.4026504Z [2022-11-23 01:21:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4027091Z [2022-11-23 01:21:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4027660Z [2022-11-23 01:21:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.4028238Z [2022-11-23 01:21:49,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.4028859Z [2022-11-23 01:21:49,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083
2022-11-23T01:32:29.4029417Z [2022-11-23 01:21:49,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:29.4029957Z [2022-11-23 01:21:49,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:29.4030682Z [2022-11-23 01:21:49,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4031651Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4032627Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.4033539Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4034475Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4035351Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:29.4036538Z [2022-11-23 01:21:49,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.4037449Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T01:32:29.4038289Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085
2022-11-23T01:32:29.4090315Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T01:32:29.4091081Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:29.4091915Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4092580Z [2022-11-23 01:21:49,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:32:29.4093389Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086
2022-11-23T01:32:29.4094062Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:32:29.4094709Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.4095344Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4096216Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077>
2022-11-23T01:32:29.4097050Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4097713Z [2022-11-23 01:21:49,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4098380Z [2022-11-23 01:21:49,517] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4099641Z [2022-11-23 01:21:49,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4100288Z [2022-11-23 01:21:49,523] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4100793Z  __compiled_fn_14 <eval_with_key>.98 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4101173Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4101570Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.4101926Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.4102393Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T01:32:29.4102838Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T01:32:29.4103326Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T01:32:29.4104000Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:29.4104420Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:29.4104704Z 
2022-11-23T01:32:29.4105202Z [2022-11-23 01:21:49,523] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4105774Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4106133Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4106460Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4106839Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4107195Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4107572Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4107906Z              12 RETURN_VALUE
2022-11-23T01:32:29.4108138Z 
2022-11-23T01:32:29.4108283Z  
2022-11-23T01:32:29.4108890Z [2022-11-23 01:21:49,523] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4109465Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_14)
2022-11-23T01:32:29.4109836Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4110619Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4110949Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4111303Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4111693Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.4112118Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.4112501Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4112837Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.4113138Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.4113510Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.4113881Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.4114257Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4114582Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4114905Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.4115306Z              30 BUILD_TUPLE              1
2022-11-23T01:32:29.4115615Z              32 RETURN_VALUE
2022-11-23T01:32:29.4115809Z 
2022-11-23T01:32:29.4115959Z  
2022-11-23T01:32:29.4116404Z [2022-11-23 01:21:49,524] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4116752Z  - 
2022-11-23T01:32:29.4117150Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4117461Z             {
2022-11-23T01:32:29.4117858Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4118364Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.4118856Z                 'obj_weakref': None
2022-11-23T01:32:29.4119398Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4119743Z             }
2022-11-23T01:32:29.4339470Z             
2022-11-23T01:32:29.4340115Z  - 
2022-11-23T01:32:29.4340513Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4340744Z             {
2022-11-23T01:32:29.4341116Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4342572Z                 'code': None,
2022-11-23T01:32:29.4343473Z                 'obj_weakref': <weakref at 0x7f20680b1ee0; to 'Tensor' at 0x7f20681c5ad0>
2022-11-23T01:32:29.4344442Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4344993Z             }
2022-11-23T01:32:29.4345278Z             
2022-11-23T01:32:29.4345572Z  - 
2022-11-23T01:32:29.4345925Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.4346229Z             {
2022-11-23T01:32:29.4346596Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4346984Z                 'code': None,
2022-11-23T01:32:29.4347501Z                 'obj_weakref': <weakref at 0x7f2068028270; to 'Tensor' at 0x7f2068206570>
2022-11-23T01:32:29.4348075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4348505Z             }
2022-11-23T01:32:29.4348812Z             
2022-11-23T01:32:29.4349083Z  - 
2022-11-23T01:32:29.4349439Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.4349738Z             {
2022-11-23T01:32:29.4350087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4350618Z                 'code': None,
2022-11-23T01:32:29.4351095Z                 'obj_weakref': <weakref at 0x7f20680afe20; to 'Tensor' at 0x7f2151ece8e0>
2022-11-23T01:32:29.4351782Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4352150Z             }
2022-11-23T01:32:29.4352430Z             
2022-11-23T01:32:29.4352729Z  - 
2022-11-23T01:32:29.4353059Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4353367Z             {
2022-11-23T01:32:29.4353782Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4354217Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.4354622Z                 'obj_weakref': None
2022-11-23T01:32:29.4355453Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4355804Z             }
2022-11-23T01:32:29.4356065Z             
2022-11-23T01:32:29.4356360Z  - 
2022-11-23T01:32:29.4356782Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4357094Z             {
2022-11-23T01:32:29.4357465Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4357957Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4358398Z                 'obj_weakref': None
2022-11-23T01:32:29.4358969Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4359360Z             }
2022-11-23T01:32:29.4359599Z             
2022-11-23T01:32:29.4359880Z  - 
2022-11-23T01:32:29.4360274Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4360560Z             {
2022-11-23T01:32:29.4360915Z                 'guard_types': None,
2022-11-23T01:32:29.4361275Z                 'code': None,
2022-11-23T01:32:29.4361642Z                 'obj_weakref': None
2022-11-23T01:32:29.4362065Z                 'guarded_class': None
2022-11-23T01:32:29.4362366Z             }
2022-11-23T01:32:29.4362603Z             
2022-11-23T01:32:29.4363441Z [2022-11-23 01:21:49,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13
2022-11-23T01:32:29.4364054Z [2022-11-23 01:21:49,609] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2022-11-23T01:32:29.4364817Z [2022-11-23 01:21:51,239] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6a2ecep4eqbpwo4qx672mdgprvuynebjol34sd3ehpbdyh3qes.py
2022-11-23T01:32:29.4365563Z [2022-11-23 01:21:51,239] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13
2022-11-23T01:32:29.4365867Z 
2022-11-23T01:32:29.4366038Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4366385Z import torch
2022-11-23T01:32:29.4366646Z import random
2022-11-23T01:32:29.4367038Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4367468Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4367710Z 
2022-11-23T01:32:29.4367846Z aten = torch.ops.aten
2022-11-23T01:32:29.4368198Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4368636Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4368839Z 
2022-11-23T01:32:29.4368969Z import triton
2022-11-23T01:32:29.4369250Z import triton.language as tl
2022-11-23T01:32:29.4369626Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4370116Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4370368Z 
2022-11-23T01:32:29.4370375Z 
2022-11-23T01:32:29.4370570Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4371087Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4371599Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4371978Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.4372253Z {
2022-11-23T01:32:29.4372587Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4372908Z     {
2022-11-23T01:32:29.4373161Z         #pragma omp for 
2022-11-23T01:32:29.4373546Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.4373839Z         {
2022-11-23T01:32:29.4374095Z             #pragma GCC ivdep
2022-11-23T01:32:29.4374411Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:29.4374736Z             {
2022-11-23T01:32:29.4375001Z                 #pragma GCC ivdep
2022-11-23T01:32:29.4375316Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:29.4375616Z                 {
2022-11-23T01:32:29.4375863Z                     {
2022-11-23T01:32:29.4376153Z                         {
2022-11-23T01:32:29.4376536Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4376990Z                             auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4377386Z                             auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4377793Z                             auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4378242Z                             auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4378595Z                             auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4379217Z                             auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4379641Z                             auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4380042Z                             auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.4380413Z                             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:29.4380805Z                             auto tmp2 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:32:29.4381180Z                             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:32:29.4381534Z                             auto tmp5 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4381908Z                             auto tmp6 = tmp4 > tmp1;
2022-11-23T01:32:29.4382308Z                             auto tmp7 = tmp6 ? tmp5 : tmp2;
2022-11-23T01:32:29.4382681Z                             auto tmp8 = std::max(tmp4, tmp1);
2022-11-23T01:32:29.4383039Z                             auto tmp10 = tmp9 * (tmp9>0);
2022-11-23T01:32:29.4383690Z                             auto tmp11 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4384081Z                             auto tmp12 = tmp10 > tmp8;
2022-11-23T01:32:29.4384416Z                             auto tmp13 = tmp12 ? tmp11 : tmp7;
2022-11-23T01:32:29.4384833Z                             auto tmp14 = std::max(tmp10, tmp8);
2022-11-23T01:32:29.4385220Z                             auto tmp16 = tmp15 * (tmp15>0);
2022-11-23T01:32:29.4385579Z                             auto tmp17 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4385972Z                             auto tmp18 = tmp16 > tmp14;
2022-11-23T01:32:29.4386343Z                             auto tmp19 = tmp18 ? tmp17 : tmp13;
2022-11-23T01:32:29.4386758Z                             auto tmp20 = std::max(tmp16, tmp14);
2022-11-23T01:32:29.4387102Z                             auto tmp22 = tmp21 * (tmp21>0);
2022-11-23T01:32:29.4387489Z                             auto tmp23 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4387864Z                             auto tmp24 = tmp22 > tmp20;
2022-11-23T01:32:29.4388195Z                             auto tmp25 = tmp24 ? tmp23 : tmp19;
2022-11-23T01:32:29.4388593Z                             auto tmp26 = std::max(tmp22, tmp20);
2022-11-23T01:32:29.4388964Z                             auto tmp28 = tmp27 * (tmp27>0);
2022-11-23T01:32:29.4389336Z                             auto tmp29 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4389728Z                             auto tmp30 = tmp28 > tmp26;
2022-11-23T01:32:29.4390125Z                             auto tmp31 = tmp30 ? tmp29 : tmp25;
2022-11-23T01:32:29.4390604Z                             auto tmp32 = std::max(tmp28, tmp26);
2022-11-23T01:32:29.4390979Z                             auto tmp34 = tmp33 * (tmp33>0);
2022-11-23T01:32:29.4391358Z                             auto tmp35 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4391731Z                             auto tmp36 = tmp34 > tmp32;
2022-11-23T01:32:29.4392058Z                             auto tmp37 = tmp36 ? tmp35 : tmp31;
2022-11-23T01:32:29.4392446Z                             auto tmp38 = std::max(tmp34, tmp32);
2022-11-23T01:32:29.4392822Z                             auto tmp40 = tmp39 * (tmp39>0);
2022-11-23T01:32:29.4393208Z                             auto tmp41 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4393718Z                             auto tmp42 = tmp40 > tmp38;
2022-11-23T01:32:29.4394100Z                             auto tmp43 = tmp42 ? tmp41 : tmp37;
2022-11-23T01:32:29.4394484Z                             auto tmp44 = std::max(tmp40, tmp38);
2022-11-23T01:32:29.4394890Z                             auto tmp46 = tmp45 * (tmp45>0);
2022-11-23T01:32:29.4395268Z                             auto tmp47 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:32:29.4395652Z                             auto tmp48 = tmp46 > tmp44;
2022-11-23T01:32:29.4396042Z                             auto tmp49 = tmp48 ? tmp47 : tmp43;
2022-11-23T01:32:29.4396397Z                             auto tmp50 = std::max(tmp46, tmp44);
2022-11-23T01:32:29.4396780Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50;
2022-11-23T01:32:29.4397182Z                         }
2022-11-23T01:32:29.4397438Z                     }
2022-11-23T01:32:29.4397707Z                 }
2022-11-23T01:32:29.4397974Z             }
2022-11-23T01:32:29.4398248Z         }
2022-11-23T01:32:29.4398505Z     }
2022-11-23T01:32:29.4398755Z }
2022-11-23T01:32:29.4399031Z ''')
2022-11-23T01:32:29.4399226Z 
2022-11-23T01:32:29.4399232Z 
2022-11-23T01:32:29.4399397Z async_compile.wait(globals())
2022-11-23T01:32:29.4399748Z del async_compile
2022-11-23T01:32:29.4399921Z 
2022-11-23T01:32:29.4400015Z def call(args):
2022-11-23T01:32:29.4400333Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.4400642Z     args.clear()
2022-11-23T01:32:29.4400991Z     buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:29.4401427Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T01:32:29.4401762Z     del arg0_1
2022-11-23T01:32:29.4402049Z     del arg1_1
2022-11-23T01:32:29.4402288Z     del arg2_1
2022-11-23T01:32:29.4402836Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4403295Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.4403625Z     return (buf1, )
2022-11-23T01:32:29.4403828Z 
2022-11-23T01:32:29.4403835Z 
2022-11-23T01:32:29.4403967Z if __name__ == "__main__":
2022-11-23T01:32:29.4404326Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4404712Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4405253Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4405822Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4406427Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4406837Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.4407114Z 
2022-11-23T01:32:29.4407233Z ok (1.885s)
2022-11-23T01:32:29.4407856Z   test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4408643Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4409274Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4409927Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4410623Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4411407Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4412205Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4413157Z [2022-11-23 01:21:51,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4414061Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:29.4414634Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4414946Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:29.4415365Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:29.4415701Z                6 CALL_METHOD              1
2022-11-23T01:32:29.4415887Z 
2022-11-23T01:32:29.4416009Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4416345Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4416695Z               12 CALL_METHOD              0
2022-11-23T01:32:29.4417094Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:29.4417400Z               16 CALL_METHOD              0
2022-11-23T01:32:29.4417595Z 
2022-11-23T01:32:29.4417744Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4418093Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:29.4418419Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4418750Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4419305Z               26 CALL_METHOD              0
2022-11-23T01:32:29.4419603Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:29.4420071Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:29.4420457Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.4420653Z 
2022-11-23T01:32:29.4420827Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4421138Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:29.4421484Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4421838Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:29.4422162Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4422493Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4422651Z               46 CALL_METHOD              0
2022-11-23T01:32:29.4422796Z               48 CALL_METHOD              1
2022-11-23T01:32:29.4422965Z               50 CALL_METHOD              1
2022-11-23T01:32:29.4422973Z 
2022-11-23T01:32:29.4423115Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:29.4423218Z               54 RETURN_VALUE
2022-11-23T01:32:29.4423376Z  
2022-11-23T01:32:29.4423384Z 
2022-11-23T01:32:29.4423856Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:29.4424178Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4424567Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:29.4424978Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:29.4425438Z [2022-11-23 01:21:51,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:29.4425891Z [2022-11-23 01:21:51,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:29.4426266Z [2022-11-23 01:21:51,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:29.4426639Z [2022-11-23 01:21:51,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4427164Z [2022-11-23 01:21:51,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4427567Z [2022-11-23 01:21:51,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4428064Z [2022-11-23 01:21:51,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:29.4428965Z [2022-11-23 01:21:51,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:29.4429395Z [2022-11-23 01:21:51,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4429997Z [2022-11-23 01:21:51,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4430656Z [2022-11-23 01:21:51,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4431280Z [2022-11-23 01:21:51,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4431966Z [2022-11-23 01:21:51,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4432535Z [2022-11-23 01:21:51,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4433195Z [2022-11-23 01:21:51,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4433880Z [2022-11-23 01:21:51,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.4434341Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:29.4434757Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4435387Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4435965Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4436760Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4437475Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4438294Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4439131Z [2022-11-23 01:21:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4439885Z [2022-11-23 01:21:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4440538Z [2022-11-23 01:21:51,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4441047Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:29.4441520Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4441884Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4442436Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:29.4442812Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4443178Z [2022-11-23 01:21:51,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4443551Z [2022-11-23 01:21:51,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4443935Z [2022-11-23 01:21:51,283] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4444196Z [2022-11-23 01:21:51,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4444415Z  __compiled_fn_15 <eval_with_key>.104 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4444563Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4444783Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:29.4444937Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4445087Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:29.4445242Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4445571Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:29.4445727Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4446106Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:29.4446486Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:29.4446671Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:29.4446681Z 
2022-11-23T01:32:29.4447146Z [2022-11-23 01:21:51,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4447299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4447448Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4447591Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4447778Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4447956Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4448101Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4448264Z              12 RETURN_VALUE
2022-11-23T01:32:29.4448272Z 
2022-11-23T01:32:29.4448379Z  
2022-11-23T01:32:29.4448868Z [2022-11-23 01:21:51,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4449071Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_15)
2022-11-23T01:32:29.4449227Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4449344Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4449472Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4449654Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4449820Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.4449990Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4450155Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4450287Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.4450422Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4450582Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.4450705Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.4450864Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4451011Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.4451162Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.4451324Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4451441Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:29.4451569Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.4451721Z              36 BUILD_TUPLE              4
2022-11-23T01:32:29.4451850Z              38 RETURN_VALUE
2022-11-23T01:32:29.4451857Z 
2022-11-23T01:32:29.4451964Z  
2022-11-23T01:32:29.4452273Z [2022-11-23 01:21:51,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4452442Z  - 
2022-11-23T01:32:29.4452610Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4452732Z             {
2022-11-23T01:32:29.4452965Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4453261Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4453455Z                 'obj_weakref': None
2022-11-23T01:32:29.4453777Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4453889Z             }
2022-11-23T01:32:29.4454033Z             
2022-11-23T01:32:29.4454132Z  - 
2022-11-23T01:32:29.4454335Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4454452Z             {
2022-11-23T01:32:29.4454672Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4454848Z                 'code': None,
2022-11-23T01:32:29.4455201Z                 'obj_weakref': <weakref at 0x7f20680b0a40; to 'Tensor' at 0x7f20606bbdd0>
2022-11-23T01:32:29.4455580Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4455671Z             }
2022-11-23T01:32:29.4455781Z             
2022-11-23T01:32:29.4455948Z  - 
2022-11-23T01:32:29.4456200Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4456314Z             {
2022-11-23T01:32:29.4456525Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4456780Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.4456940Z                 'obj_weakref': None
2022-11-23T01:32:29.4457288Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4457433Z             }
2022-11-23T01:32:29.4457542Z             
2022-11-23T01:32:29.4457672Z  - 
2022-11-23T01:32:29.4457865Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4458036Z             {
2022-11-23T01:32:29.4458227Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4458544Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4458772Z                 'obj_weakref': None
2022-11-23T01:32:29.4459376Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4459545Z             }
2022-11-23T01:32:29.4459658Z             
2022-11-23T01:32:29.4459802Z  - 
2022-11-23T01:32:29.4459988Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4460139Z             {
2022-11-23T01:32:29.4460332Z                 'guard_types': None,
2022-11-23T01:32:29.4460503Z                 'code': None,
2022-11-23T01:32:29.4460693Z                 'obj_weakref': None
2022-11-23T01:32:29.4460899Z                 'guarded_class': None
2022-11-23T01:32:29.4461005Z             }
2022-11-23T01:32:29.4461088Z             
2022-11-23T01:32:29.4461475Z [2022-11-23 01:21:51,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14
2022-11-23T01:32:29.4461975Z [2022-11-23 01:21:52,925] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tw/ctw5qiy7xe2rgap7trczm2mpcmeif65td6gsnvrhtul63cr2mckz.py
2022-11-23T01:32:29.4462362Z [2022-11-23 01:21:52,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14
2022-11-23T01:32:29.4462709Z [2022-11-23 01:21:52,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4463191Z [2022-11-23 01:21:52,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4463532Z [2022-11-23 01:21:52,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4463905Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4464349Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4464785Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4465305Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4465761Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4466288Z [2022-11-23 01:21:52,937] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:29.4466435Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4466631Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:29.4466845Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:29.4466991Z                6 CALL_METHOD              1
2022-11-23T01:32:29.4467002Z 
2022-11-23T01:32:29.4467154Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4467311Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4467428Z               12 CALL_METHOD              0
2022-11-23T01:32:29.4467576Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:29.4467742Z               16 CALL_METHOD              0
2022-11-23T01:32:29.4467749Z 
2022-11-23T01:32:29.4467907Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4468053Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:29.4468202Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4468396Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4468588Z               26 CALL_METHOD              0
2022-11-23T01:32:29.4468741Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:29.4468997Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:29.4469195Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.4469203Z 
2022-11-23T01:32:29.4469352Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4469497Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:29.4469646Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.4469811Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:29.4469933Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4470085Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:29.4470229Z               46 CALL_METHOD              0
2022-11-23T01:32:29.4470464Z               48 CALL_METHOD              1
2022-11-23T01:32:29.4470606Z               50 CALL_METHOD              1
2022-11-23T01:32:29.4470614Z 
2022-11-23T01:32:29.4470762Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:29.4470924Z               54 RETURN_VALUE
2022-11-23T01:32:29.4471004Z  
2022-11-23T01:32:29.4471012Z 
2022-11-23T01:32:29.4471486Z [2022-11-23 01:21:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:29.4471846Z [2022-11-23 01:21:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4472202Z [2022-11-23 01:21:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:29.4472627Z [2022-11-23 01:21:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:29.4473078Z [2022-11-23 01:21:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:29.4473528Z [2022-11-23 01:21:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:29.4473881Z [2022-11-23 01:21:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:29.4474308Z [2022-11-23 01:21:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4474764Z [2022-11-23 01:21:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4475131Z [2022-11-23 01:21:52,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4475573Z [2022-11-23 01:21:52,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:29.4476035Z [2022-11-23 01:21:52,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:29.4476430Z [2022-11-23 01:21:52,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4477023Z [2022-11-23 01:21:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4477547Z [2022-11-23 01:21:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4478118Z [2022-11-23 01:21:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4478797Z [2022-11-23 01:21:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4479459Z [2022-11-23 01:21:52,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4480092Z [2022-11-23 01:21:52,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.4480814Z [2022-11-23 01:21:52,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.4481271Z [2022-11-23 01:21:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:29.4481704Z [2022-11-23 01:21:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4482325Z [2022-11-23 01:21:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4482934Z [2022-11-23 01:21:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4483723Z [2022-11-23 01:21:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4484461Z [2022-11-23 01:21:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4485247Z [2022-11-23 01:21:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4486048Z [2022-11-23 01:21:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.4486796Z [2022-11-23 01:21:52,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4487446Z [2022-11-23 01:21:52,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.4487878Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:29.4488408Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4488843Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4489420Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:29.4489833Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4490185Z [2022-11-23 01:21:52,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4490557Z [2022-11-23 01:21:52,949] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4490920Z [2022-11-23 01:21:52,955] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4491244Z [2022-11-23 01:21:52,956] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4491466Z  __compiled_fn_16 <eval_with_key>.110 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4491586Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4491805Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:29.4491957Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4492108Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:29.4492291Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4492657Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:29.4492838Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:29.4493229Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:29.4493545Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:29.4493738Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:29.4493748Z 
2022-11-23T01:32:29.4499108Z [2022-11-23 01:21:52,956] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4499311Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4499460Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4499598Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4499802Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4499957Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4500074Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4500210Z              12 RETURN_VALUE
2022-11-23T01:32:29.4500219Z 
2022-11-23T01:32:29.4500330Z  
2022-11-23T01:32:29.4500872Z [2022-11-23 01:21:52,956] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4501043Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_16)
2022-11-23T01:32:29.4501195Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4501368Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4501514Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4501634Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4501799Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.4501963Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4502112Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4502241Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.4502390Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4502567Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.4502666Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.4502839Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4503077Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.4503216Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.4503379Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4503616Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:29.4503744Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.4503853Z              36 BUILD_TUPLE              4
2022-11-23T01:32:29.4504023Z              38 RETURN_VALUE
2022-11-23T01:32:29.4504032Z 
2022-11-23T01:32:29.4504137Z  
2022-11-23T01:32:29.4504427Z [2022-11-23 01:21:52,957] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4504553Z  - 
2022-11-23T01:32:29.4504747Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4504861Z             {
2022-11-23T01:32:29.4505057Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4505372Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4505580Z                 'obj_weakref': None
2022-11-23T01:32:29.4505893Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4506007Z             }
2022-11-23T01:32:29.4506120Z             
2022-11-23T01:32:29.4506253Z  - 
2022-11-23T01:32:29.4506424Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4506544Z             {
2022-11-23T01:32:29.4506842Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4507035Z                 'code': None,
2022-11-23T01:32:29.4507346Z                 'obj_weakref': <weakref at 0x7f20606b9a80; to 'Tensor' at 0x7f20680b2430>
2022-11-23T01:32:29.4507703Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4507821Z             }
2022-11-23T01:32:29.4507935Z             
2022-11-23T01:32:29.4508038Z  - 
2022-11-23T01:32:29.4508249Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4515248Z             {
2022-11-23T01:32:29.4515649Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4517072Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.4518379Z                 'obj_weakref': None
2022-11-23T01:32:29.4524582Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4524700Z             }
2022-11-23T01:32:29.4526023Z             
2022-11-23T01:32:29.4577232Z  - 
2022-11-23T01:32:29.4577496Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4577630Z             {
2022-11-23T01:32:29.4577858Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4578181Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4578355Z                 'obj_weakref': None
2022-11-23T01:32:29.4578683Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4579003Z             }
2022-11-23T01:32:29.4579110Z             
2022-11-23T01:32:29.4579235Z  - 
2022-11-23T01:32:29.4579472Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4579592Z             {
2022-11-23T01:32:29.4579721Z                 'guard_types': None,
2022-11-23T01:32:29.4579893Z                 'code': None,
2022-11-23T01:32:29.4580034Z                 'obj_weakref': None
2022-11-23T01:32:29.4580215Z                 'guarded_class': None
2022-11-23T01:32:29.4580300Z             }
2022-11-23T01:32:29.4580381Z             
2022-11-23T01:32:29.4580642Z [2022-11-23 01:21:52,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15
2022-11-23T01:32:29.4581088Z [2022-11-23 01:21:54,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l3/cl37u57jyj3prkprcfuzlim6gztodpdbfwguyyohvcjsvi6bsqcb.py
2022-11-23T01:32:29.4581485Z [2022-11-23 01:21:54,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15
2022-11-23T01:32:29.4581496Z 
2022-11-23T01:32:29.4581767Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4581896Z import torch
2022-11-23T01:32:29.4582058Z import random
2022-11-23T01:32:29.4582247Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4582505Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4582514Z 
2022-11-23T01:32:29.4582653Z aten = torch.ops.aten
2022-11-23T01:32:29.4582836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4582992Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4583000Z 
2022-11-23T01:32:29.4583172Z import triton
2022-11-23T01:32:29.4583322Z import triton.language as tl
2022-11-23T01:32:29.4583540Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4583752Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4583761Z 
2022-11-23T01:32:29.4583765Z 
2022-11-23T01:32:29.4583946Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4584178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4584294Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.4584416Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:32:29.4584549Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4584671Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.4584787Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.4584890Z {
2022-11-23T01:32:29.4585005Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:32:29.4585087Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:32:29.4585188Z     {
2022-11-23T01:32:29.4585302Z         {
2022-11-23T01:32:29.4585439Z             bool tmp2 = 0;
2022-11-23T01:32:29.4585569Z             bool tmp4 = 0;
2022-11-23T01:32:29.4585737Z             bool tmp8 = 0;
2022-11-23T01:32:29.4585897Z             bool tmp10 = 0;
2022-11-23T01:32:29.4586045Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4586173Z             {
2022-11-23T01:32:29.4586422Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp4) reduction(||:tmp8) reduction(||:tmp10) 
2022-11-23T01:32:29.4586548Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.4586636Z                 {
2022-11-23T01:32:29.4586727Z                     {
2022-11-23T01:32:29.4586846Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.4586956Z                         auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:29.4587112Z                         auto tmp3 = std::isinf(tmp0);
2022-11-23T01:32:29.4587229Z                         auto tmp5 = tmp3 == 0;
2022-11-23T01:32:29.4587357Z                         auto tmp6 = static_cast<long>(tmp5);
2022-11-23T01:32:29.4587486Z                         auto tmp7 = static_cast<bool>(tmp6);
2022-11-23T01:32:29.4587596Z                         auto tmp9 = tmp5 == 0;
2022-11-23T01:32:29.4587705Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:32:29.4587802Z                         tmp4 = tmp4 || tmp3;
2022-11-23T01:32:29.4587943Z                         tmp8 = tmp8 || tmp7;
2022-11-23T01:32:29.4588129Z                         tmp10 = tmp10 || tmp9;
2022-11-23T01:32:29.4588248Z                     }
2022-11-23T01:32:29.4588333Z                 }
2022-11-23T01:32:29.4588416Z             }
2022-11-23T01:32:29.4588517Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:29.4588619Z             out_ptr1[0] = tmp4;
2022-11-23T01:32:29.4588753Z             out_ptr2[0] = tmp8;
2022-11-23T01:32:29.4588862Z             out_ptr3[0] = tmp10;
2022-11-23T01:32:29.4588960Z         }
2022-11-23T01:32:29.4589107Z     }
2022-11-23T01:32:29.4589213Z     {
2022-11-23T01:32:29.4589298Z         {
2022-11-23T01:32:29.4589439Z             auto tmp0 = out_ptr2[0];
2022-11-23T01:32:29.4589581Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:32:29.4589720Z             in_out_ptr0[0] = tmp1;
2022-11-23T01:32:29.4589826Z         }
2022-11-23T01:32:29.4589936Z     }
2022-11-23T01:32:29.4590188Z     {
2022-11-23T01:32:29.4590386Z         {
2022-11-23T01:32:29.4590536Z             auto tmp0 = out_ptr3[0];
2022-11-23T01:32:29.4590678Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:32:29.4590850Z             in_out_ptr1[0] = tmp1;
2022-11-23T01:32:29.4590964Z         }
2022-11-23T01:32:29.4591073Z     }
2022-11-23T01:32:29.4591195Z }
2022-11-23T01:32:29.4591347Z ''')
2022-11-23T01:32:29.4591356Z 
2022-11-23T01:32:29.4591362Z 
2022-11-23T01:32:29.4591571Z async_compile.wait(globals())
2022-11-23T01:32:29.4591705Z del async_compile
2022-11-23T01:32:29.4591712Z 
2022-11-23T01:32:29.4591835Z def call(args):
2022-11-23T01:32:29.4591951Z     arg0_1, = args
2022-11-23T01:32:29.4592051Z     args.clear()
2022-11-23T01:32:29.4592304Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4592546Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4592793Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4593095Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4593293Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:29.4593426Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:29.4593740Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.4593861Z     del arg0_1
2022-11-23T01:32:29.4593999Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:29.4594006Z 
2022-11-23T01:32:29.4594012Z 
2022-11-23T01:32:29.4594108Z if __name__ == "__main__":
2022-11-23T01:32:29.4594301Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4594486Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4594781Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4594962Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4594970Z 
2022-11-23T01:32:29.4594977Z 
2022-11-23T01:32:29.4595138Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4595256Z import torch
2022-11-23T01:32:29.4595376Z import random
2022-11-23T01:32:29.4595532Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4595738Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4595746Z 
2022-11-23T01:32:29.4595869Z aten = torch.ops.aten
2022-11-23T01:32:29.4596081Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4596229Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4596237Z 
2022-11-23T01:32:29.4596396Z import triton
2022-11-23T01:32:29.4596543Z import triton.language as tl
2022-11-23T01:32:29.4596690Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4596900Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4596908Z 
2022-11-23T01:32:29.4596915Z 
2022-11-23T01:32:29.4597151Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4597457Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4597642Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.4597828Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:32:29.4598004Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4598156Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.4598310Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.4598371Z {
2022-11-23T01:32:29.4598511Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:32:29.4598665Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:29.4598796Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4598920Z     {
2022-11-23T01:32:29.4599048Z         #pragma omp for 
2022-11-23T01:32:29.4599156Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.4599305Z         {
2022-11-23T01:32:29.4599410Z             {
2022-11-23T01:32:29.4599526Z                 {
2022-11-23T01:32:29.4599716Z                     bool tmp2 = 0;
2022-11-23T01:32:29.4599870Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:29.4599987Z                     {
2022-11-23T01:32:29.4600082Z                         {
2022-11-23T01:32:29.4600326Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:29.4600506Z                             auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:29.4600672Z                             tmp2 = tmp2 || tmp1;
2022-11-23T01:32:29.4600788Z                         }
2022-11-23T01:32:29.4600905Z                     }
2022-11-23T01:32:29.4601047Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.4601133Z                 }
2022-11-23T01:32:29.4601242Z             }
2022-11-23T01:32:29.4601381Z         }
2022-11-23T01:32:29.4601491Z     }
2022-11-23T01:32:29.4601650Z     {
2022-11-23T01:32:29.4601749Z         {
2022-11-23T01:32:29.4601851Z             bool tmp2 = 0;
2022-11-23T01:32:29.4601983Z             bool tmp5 = 0;
2022-11-23T01:32:29.4602154Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4602265Z             {
2022-11-23T01:32:29.4602465Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp5) 
2022-11-23T01:32:29.4602644Z                 for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:29.4602768Z                 {
2022-11-23T01:32:29.4602862Z                     {
2022-11-23T01:32:29.4603011Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.4603180Z                         auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:29.4603324Z                         auto tmp3 = tmp1 == 0;
2022-11-23T01:32:29.4603468Z                         auto tmp4 = tmp3 == 0;
2022-11-23T01:32:29.4603611Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:32:29.4603772Z                         tmp5 = tmp5 || tmp4;
2022-11-23T01:32:29.4603895Z                     }
2022-11-23T01:32:29.4603982Z                 }
2022-11-23T01:32:29.4604134Z             }
2022-11-23T01:32:29.4604268Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:29.4604394Z             out_ptr2[0] = tmp5;
2022-11-23T01:32:29.4604496Z         }
2022-11-23T01:32:29.4604606Z     }
2022-11-23T01:32:29.4604740Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4604889Z     {
2022-11-23T01:32:29.4605032Z         #pragma omp for 
2022-11-23T01:32:29.4605161Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.4605272Z         {
2022-11-23T01:32:29.4605376Z             {
2022-11-23T01:32:29.4605491Z                 {
2022-11-23T01:32:29.4605604Z                     bool tmp5 = 0;
2022-11-23T01:32:29.4605752Z                     for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:29.4605890Z                     {
2022-11-23T01:32:29.4606009Z                         {
2022-11-23T01:32:29.4606175Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:29.4606337Z                             auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:29.4606551Z                             auto tmp2 = tmp1 == 0;
2022-11-23T01:32:29.4606703Z                             auto tmp3 = static_cast<long>(tmp2);
2022-11-23T01:32:29.4606871Z                             auto tmp4 = static_cast<bool>(tmp3);
2022-11-23T01:32:29.4607017Z                             tmp5 = tmp5 || tmp4;
2022-11-23T01:32:29.4607160Z                         }
2022-11-23T01:32:29.4607286Z                     }
2022-11-23T01:32:29.4607428Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:29.4607537Z                 }
2022-11-23T01:32:29.4607620Z             }
2022-11-23T01:32:29.4607726Z         }
2022-11-23T01:32:29.4607859Z         #pragma omp for 
2022-11-23T01:32:29.4607996Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.4608134Z         {
2022-11-23T01:32:29.4608253Z             {
2022-11-23T01:32:29.4608364Z                 {
2022-11-23T01:32:29.4608488Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:29.4608630Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:29.4608780Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.4608991Z                 }
2022-11-23T01:32:29.4609093Z             }
2022-11-23T01:32:29.4609206Z         }
2022-11-23T01:32:29.4609314Z         #pragma omp single
2022-11-23T01:32:29.4609493Z         {
2022-11-23T01:32:29.4609607Z             {
2022-11-23T01:32:29.4609717Z                 {
2022-11-23T01:32:29.4609874Z                     auto tmp0 = out_ptr2[0];
2022-11-23T01:32:29.4610020Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:29.4610168Z                     in_out_ptr1[0] = tmp1;
2022-11-23T01:32:29.4610256Z                 }
2022-11-23T01:32:29.4610380Z             }
2022-11-23T01:32:29.4610520Z         }
2022-11-23T01:32:29.4610624Z     }
2022-11-23T01:32:29.4610731Z }
2022-11-23T01:32:29.4610884Z ''')
2022-11-23T01:32:29.4610892Z 
2022-11-23T01:32:29.4610898Z 
2022-11-23T01:32:29.4611046Z async_compile.wait(globals())
2022-11-23T01:32:29.4611145Z del async_compile
2022-11-23T01:32:29.4611153Z 
2022-11-23T01:32:29.4611314Z def call(args):
2022-11-23T01:32:29.4611448Z     arg0_1, = args
2022-11-23T01:32:29.4611590Z     args.clear()
2022-11-23T01:32:29.4611867Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4612123Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4612384Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4612636Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.4612776Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:29.4612917Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:29.4613224Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.4613335Z     del arg0_1
2022-11-23T01:32:29.4613510Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:29.4613518Z 
2022-11-23T01:32:29.4613524Z 
2022-11-23T01:32:29.4613652Z if __name__ == "__main__":
2022-11-23T01:32:29.4613839Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4614001Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4614288Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4614464Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4614472Z 
2022-11-23T01:32:29.4614637Z ok (3.468s)
2022-11-23T01:32:29.4615097Z   test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:54,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4615559Z [2022-11-23 01:21:54,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4615882Z [2022-11-23 01:21:54,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4616253Z [2022-11-23 01:21:54,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4616641Z [2022-11-23 01:21:54,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4617067Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4617553Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4618025Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4618560Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878> 
2022-11-23T01:32:29.4618718Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4619154Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:29.4619324Z               4 LOAD_CONST               1 (64)
2022-11-23T01:32:29.4619470Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4619679Z               8 LOAD_ATTR                2 (float32)
2022-11-23T01:32:29.4619803Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4619999Z              12 LOAD_ATTR                3 (device)
2022-11-23T01:32:29.4620256Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T01:32:29.4620410Z              16 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.4620566Z              18 LOAD_METHOD              4 (view)
2022-11-23T01:32:29.4620719Z              20 LOAD_CONST               3 (8)
2022-11-23T01:32:29.4620920Z              22 LOAD_CONST               3 (8)
2022-11-23T01:32:29.4621071Z              24 CALL_METHOD              2
2022-11-23T01:32:29.4621196Z              26 STORE_FAST               1 (rng1)
2022-11-23T01:32:29.4621209Z 
2022-11-23T01:32:29.4621365Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4621539Z              30 LOAD_ATTR                1 (arange)
2022-11-23T01:32:29.4621714Z              32 LOAD_CONST               4 (10)
2022-11-23T01:32:29.4621862Z              34 LOAD_CONST               5 (18)
2022-11-23T01:32:29.4622006Z              36 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4622186Z              38 LOAD_ATTR                3 (device)
2022-11-23T01:32:29.4622402Z              40 LOAD_CONST               6 (('device',))
2022-11-23T01:32:29.4622550Z              42 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.4622699Z              44 STORE_FAST               2 (rng2)
2022-11-23T01:32:29.4622707Z 
2022-11-23T01:32:29.4622850Z 881          46 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4623039Z              48 LOAD_FAST                1 (rng1)
2022-11-23T01:32:29.4623173Z              50 BINARY_MULTIPLY
2022-11-23T01:32:29.4623327Z              52 STORE_FAST               3 (tmp)
2022-11-23T01:32:29.4623335Z 
2022-11-23T01:32:29.4623515Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T01:32:29.4623644Z              56 LOAD_FAST                3 (tmp)
2022-11-23T01:32:29.4623798Z              58 LOAD_FAST                2 (rng2)
2022-11-23T01:32:29.4623927Z              60 BINARY_ADD
2022-11-23T01:32:29.4624070Z              62 BUILD_TUPLE              2
2022-11-23T01:32:29.4624203Z              64 RETURN_VALUE
2022-11-23T01:32:29.4624317Z  
2022-11-23T01:32:29.4624325Z 
2022-11-23T01:32:29.4624819Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879
2022-11-23T01:32:29.4625167Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4625669Z [2022-11-23 01:21:54,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4626137Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4626666Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.4627384Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4627953Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:29.4628664Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:29.4629371Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:29.4630056Z [2022-11-23 01:21:54,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.4630534Z [2022-11-23 01:21:54,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:29.4630949Z [2022-11-23 01:21:54,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:29.4631407Z [2022-11-23 01:21:54,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:29.4631922Z [2022-11-23 01:21:54,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4632289Z [2022-11-23 01:21:54,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:29.4632764Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880
2022-11-23T01:32:29.4633083Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4633578Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4634076Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4634582Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.4635141Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4635745Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.4636406Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:29.4637075Z [2022-11-23 01:21:54,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.4637463Z [2022-11-23 01:21:54,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T01:32:29.4637910Z [2022-11-23 01:21:54,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881
2022-11-23T01:32:29.4638223Z [2022-11-23 01:21:54,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4638632Z [2022-11-23 01:21:54,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:29.4639042Z [2022-11-23 01:21:54,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4639407Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:29.4639865Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882
2022-11-23T01:32:29.4640181Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:29.4640532Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T01:32:29.4640952Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4641390Z [2022-11-23 01:21:54,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4641780Z [2022-11-23 01:21:54,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4642151Z [2022-11-23 01:21:54,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4642695Z [2022-11-23 01:21:54,830] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878>
2022-11-23T01:32:29.4643100Z [2022-11-23 01:21:54,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4643422Z [2022-11-23 01:21:54,830] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4643795Z [2022-11-23 01:21:54,832] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4644165Z [2022-11-23 01:21:54,836] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4644476Z [2022-11-23 01:21:54,836] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4644691Z  __compiled_fn_17 <eval_with_key>.116 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4644838Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4645294Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (64,), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:29.4645456Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T01:32:29.4645826Z call_function, arange_1, <built-in method arange of type object at 0x7f209c394c60>, (10, 18), {'device': device(type='cpu')}
2022-11-23T01:32:29.4646095Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T01:32:29.4646368Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T01:32:29.4646530Z output, output, output, ((mul, add),), {}
2022-11-23T01:32:29.4646543Z 
2022-11-23T01:32:29.4647040Z [2022-11-23 01:21:54,836] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4647198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4647360Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4647510Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4647707Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4647825Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4647972Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4648105Z              12 RETURN_VALUE
2022-11-23T01:32:29.4648114Z 
2022-11-23T01:32:29.4648222Z  
2022-11-23T01:32:29.4648718Z [2022-11-23 01:21:54,836] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4648950Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_17)
2022-11-23T01:32:29.4649105Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4649228Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4649392Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4649537Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4649703Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.4649867Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4650024Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4650177Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.4650312Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4650461Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.4650592Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.4650774Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.4650901Z              26 RETURN_VALUE
2022-11-23T01:32:29.4650908Z 
2022-11-23T01:32:29.4651022Z  
2022-11-23T01:32:29.4651351Z [2022-11-23 01:21:54,837] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4651489Z  - 
2022-11-23T01:32:29.4651653Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4651796Z             {
2022-11-23T01:32:29.4652016Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4652298Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4652490Z                 'obj_weakref': None
2022-11-23T01:32:29.4652817Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4652941Z             }
2022-11-23T01:32:29.4653029Z             
2022-11-23T01:32:29.4653151Z  - 
2022-11-23T01:32:29.4653350Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:29.4653492Z             {
2022-11-23T01:32:29.4653709Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.4654009Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:29.4654321Z                 'obj_weakref': <weakref at 0x7f20606cf8d0; to 'Tensor' at 0x7f20681761b0>
2022-11-23T01:32:29.4654654Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4654784Z             }
2022-11-23T01:32:29.4654898Z             
2022-11-23T01:32:29.4655036Z  - 
2022-11-23T01:32:29.4655231Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4655367Z             {
2022-11-23T01:32:29.4655592Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4655743Z                 'code': None,
2022-11-23T01:32:29.4656051Z                 'obj_weakref': <weakref at 0x7f20606cf8d0; to 'Tensor' at 0x7f20681761b0>
2022-11-23T01:32:29.4656414Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4656526Z             }
2022-11-23T01:32:29.4656639Z             
2022-11-23T01:32:29.4656763Z  - 
2022-11-23T01:32:29.4656971Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4657060Z             {
2022-11-23T01:32:29.4657293Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4657562Z                 'code': ['___check_obj_id(model, 139780075301056)'],
2022-11-23T01:32:29.4657800Z                 'obj_weakref': None
2022-11-23T01:32:29.4658130Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4658242Z             }
2022-11-23T01:32:29.4658354Z             
2022-11-23T01:32:29.4658452Z  - 
2022-11-23T01:32:29.4658646Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4658756Z             {
2022-11-23T01:32:29.4659182Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4659519Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4659716Z                 'obj_weakref': None
2022-11-23T01:32:29.4660113Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4660203Z             }
2022-11-23T01:32:29.4660315Z             
2022-11-23T01:32:29.4660437Z  - 
2022-11-23T01:32:29.4660688Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4660811Z             {
2022-11-23T01:32:29.4661076Z                 'guard_types': None,
2022-11-23T01:32:29.4661254Z                 'code': None,
2022-11-23T01:32:29.4661418Z                 'obj_weakref': None
2022-11-23T01:32:29.4661610Z                 'guarded_class': None
2022-11-23T01:32:29.4661722Z             }
2022-11-23T01:32:29.4661833Z             
2022-11-23T01:32:29.4661958Z  - 
2022-11-23T01:32:29.4662199Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:29.4662288Z             {
2022-11-23T01:32:29.4662508Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.4662797Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:29.4662996Z                 'obj_weakref': None
2022-11-23T01:32:29.4663316Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:29.4663430Z             }
2022-11-23T01:32:29.4663549Z             
2022-11-23T01:32:29.4663901Z [2022-11-23 01:21:54,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16
2022-11-23T01:32:29.4664424Z [2022-11-23 01:21:56,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/te/ctek3rxmbif37f7cbimmery3m63ta4ccawwwp5rzqe2elg5tnnee.py
2022-11-23T01:32:29.4664805Z [2022-11-23 01:21:56,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16
2022-11-23T01:32:29.4664815Z 
2022-11-23T01:32:29.4664968Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4665149Z import torch
2022-11-23T01:32:29.4665272Z import random
2022-11-23T01:32:29.4665457Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4665648Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4665656Z 
2022-11-23T01:32:29.4665800Z aten = torch.ops.aten
2022-11-23T01:32:29.4665982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4666139Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4666147Z 
2022-11-23T01:32:29.4666266Z import triton
2022-11-23T01:32:29.4666412Z import triton.language as tl
2022-11-23T01:32:29.4666623Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4666835Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4666843Z 
2022-11-23T01:32:29.4666850Z 
2022-11-23T01:32:29.4667066Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4667374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4667535Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4667695Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.4667857Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.4667967Z {
2022-11-23T01:32:29.4668167Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4668305Z     {
2022-11-23T01:32:29.4668438Z         #pragma omp for 
2022-11-23T01:32:29.4668552Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.4668672Z         {
2022-11-23T01:32:29.4668785Z             {
2022-11-23T01:32:29.4668901Z                 {
2022-11-23T01:32:29.4669056Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.4669227Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T01:32:29.4669352Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.4669493Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.4669630Z                 }
2022-11-23T01:32:29.4669751Z             }
2022-11-23T01:32:29.4669862Z         }
2022-11-23T01:32:29.4669993Z         #pragma omp for 
2022-11-23T01:32:29.4670130Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.4670217Z         {
2022-11-23T01:32:29.4670495Z             #pragma GCC ivdep
2022-11-23T01:32:29.4670684Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:29.4670807Z             {
2022-11-23T01:32:29.4670946Z                 {
2022-11-23T01:32:29.4671098Z                     {
2022-11-23T01:32:29.4671264Z                         auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:29.4671415Z                         auto tmp1 = static_cast<long>(10 + i1);
2022-11-23T01:32:29.4671593Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:29.4671750Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.4671903Z                         out_ptr1[i1 + (8*i0)] = tmp3;
2022-11-23T01:32:29.4672030Z                     }
2022-11-23T01:32:29.4672142Z                 }
2022-11-23T01:32:29.4672278Z             }
2022-11-23T01:32:29.4672365Z         }
2022-11-23T01:32:29.4672478Z     }
2022-11-23T01:32:29.4672589Z }
2022-11-23T01:32:29.4672736Z ''')
2022-11-23T01:32:29.4672745Z 
2022-11-23T01:32:29.4672756Z 
2022-11-23T01:32:29.4672905Z async_compile.wait(globals())
2022-11-23T01:32:29.4673080Z del async_compile
2022-11-23T01:32:29.4673088Z 
2022-11-23T01:32:29.4673211Z def call(args):
2022-11-23T01:32:29.4673313Z     arg0_1, = args
2022-11-23T01:32:29.4673436Z     args.clear()
2022-11-23T01:32:29.4673757Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4674047Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4674293Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.4674411Z     del arg0_1
2022-11-23T01:32:29.4674551Z     return (buf0, buf1, )
2022-11-23T01:32:29.4674560Z 
2022-11-23T01:32:29.4674566Z 
2022-11-23T01:32:29.4674694Z if __name__ == "__main__":
2022-11-23T01:32:29.4674850Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4675044Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4675343Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4675540Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4675548Z 
2022-11-23T01:32:29.4675669Z ok (1.760s)
2022-11-23T01:32:29.4676108Z   test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4676573Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4676893Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4677235Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4677676Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4678133Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4678624Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4679114Z [2022-11-23 01:21:56,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4679642Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887> 
2022-11-23T01:32:29.4679808Z  888           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4679957Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:29.4680105Z               4 LOAD_CONST               1 (8)
2022-11-23T01:32:29.4680300Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4680426Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:29.4680660Z              10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:29.4680840Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.4681027Z              14 STORE_FAST               1 (rng1)
2022-11-23T01:32:29.4681036Z 
2022-11-23T01:32:29.4681187Z 889          16 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4681335Z              18 LOAD_FAST                1 (rng1)
2022-11-23T01:32:29.4681502Z              20 BINARY_ADD
2022-11-23T01:32:29.4681622Z              22 BUILD_TUPLE              1
2022-11-23T01:32:29.4681749Z              24 RETURN_VALUE
2022-11-23T01:32:29.4681860Z  
2022-11-23T01:32:29.4681867Z 
2022-11-23T01:32:29.4682319Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:888
2022-11-23T01:32:29.4682658Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.4683205Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4683679Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4684183Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.4684733Z [2022-11-23 01:21:56,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.4685299Z [2022-11-23 01:21:56,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:29.4685910Z [2022-11-23 01:21:56,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.4686246Z [2022-11-23 01:21:56,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:29.4686706Z [2022-11-23 01:21:56,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:889
2022-11-23T01:32:29.4687016Z [2022-11-23 01:21:56,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4687392Z [2022-11-23 01:21:56,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:29.4687789Z [2022-11-23 01:21:56,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4688144Z [2022-11-23 01:21:56,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.4688548Z [2022-11-23 01:21:56,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4689078Z [2022-11-23 01:21:56,494] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887>
2022-11-23T01:32:29.4689446Z [2022-11-23 01:21:56,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.4689793Z [2022-11-23 01:21:56,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4690139Z [2022-11-23 01:21:56,495] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4690546Z [2022-11-23 01:21:56,498] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4690860Z [2022-11-23 01:21:56,499] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4691105Z  __compiled_fn_18 <eval_with_key>.122 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4691254Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4691660Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (8,), {'device': device(type='cpu')}
2022-11-23T01:32:29.4691936Z call_function, add, <built-in function add>, (ex_0_, arange), {}
2022-11-23T01:32:29.4692091Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.4692098Z 
2022-11-23T01:32:29.4692538Z [2022-11-23 01:21:56,499] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4692691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4692841Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4693012Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4693205Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4693363Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4693510Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4693640Z              12 RETURN_VALUE
2022-11-23T01:32:29.4693648Z 
2022-11-23T01:32:29.4693732Z  
2022-11-23T01:32:29.4694201Z [2022-11-23 01:21:56,499] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4694377Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_18)
2022-11-23T01:32:29.4694526Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4694696Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4694838Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4694986Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4695129Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.4695296Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.4695447Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4695577Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.4695721Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.4695850Z              20 RETURN_VALUE
2022-11-23T01:32:29.4695858Z 
2022-11-23T01:32:29.4695994Z  
2022-11-23T01:32:29.4696320Z [2022-11-23 01:21:56,500] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4696420Z  - 
2022-11-23T01:32:29.4696609Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4696722Z             {
2022-11-23T01:32:29.4696940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4697220Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4697411Z                 'obj_weakref': None
2022-11-23T01:32:29.4697754Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4697844Z             }
2022-11-23T01:32:29.4697982Z             
2022-11-23T01:32:29.4698111Z  - 
2022-11-23T01:32:29.4698305Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:29.4698420Z             {
2022-11-23T01:32:29.4698639Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.4741108Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:29.4859979Z                 'obj_weakref': <weakref at 0x7f206802b510; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.4860352Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4860455Z             }
2022-11-23T01:32:29.4860554Z             
2022-11-23T01:32:29.4860665Z  - 
2022-11-23T01:32:29.4860843Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4860940Z             {
2022-11-23T01:32:29.4861511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4861691Z                 'code': None,
2022-11-23T01:32:29.4861978Z                 'obj_weakref': <weakref at 0x7f206802b510; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.4862404Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4862506Z             }
2022-11-23T01:32:29.4862600Z             
2022-11-23T01:32:29.4862717Z  - 
2022-11-23T01:32:29.4862900Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4863001Z             {
2022-11-23T01:32:29.4863195Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4863437Z                 'code': ['___check_obj_id(model, 139777161395024)'],
2022-11-23T01:32:29.4863620Z                 'obj_weakref': None
2022-11-23T01:32:29.4863933Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4864022Z             }
2022-11-23T01:32:29.4864112Z             
2022-11-23T01:32:29.4864221Z  - 
2022-11-23T01:32:29.4864401Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4864504Z             {
2022-11-23T01:32:29.4864709Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4865006Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4865187Z                 'obj_weakref': None
2022-11-23T01:32:29.4865485Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4865578Z             }
2022-11-23T01:32:29.4865677Z             
2022-11-23T01:32:29.4865786Z  - 
2022-11-23T01:32:29.4865976Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4866070Z             {
2022-11-23T01:32:29.4866237Z                 'guard_types': None,
2022-11-23T01:32:29.4866381Z                 'code': None,
2022-11-23T01:32:29.4866552Z                 'obj_weakref': None
2022-11-23T01:32:29.4866736Z                 'guarded_class': None
2022-11-23T01:32:29.4866831Z             }
2022-11-23T01:32:29.4866924Z             
2022-11-23T01:32:29.4867290Z [2022-11-23 01:21:56,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17
2022-11-23T01:32:29.4867815Z [2022-11-23 01:21:58,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fb/cfbz3lvkypq6if2ynx6wzpuccz32okfxxrckgpqu7thmbksoxp5p.py
2022-11-23T01:32:29.4868206Z [2022-11-23 01:21:58,109] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17
2022-11-23T01:32:29.4868218Z 
2022-11-23T01:32:29.4868356Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4868468Z import torch
2022-11-23T01:32:29.4868583Z import random
2022-11-23T01:32:29.4868757Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4868932Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4868939Z 
2022-11-23T01:32:29.4869057Z aten = torch.ops.aten
2022-11-23T01:32:29.4869262Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4869394Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4869413Z 
2022-11-23T01:32:29.4869515Z import triton
2022-11-23T01:32:29.4869647Z import triton.language as tl
2022-11-23T01:32:29.4869833Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4870038Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4870047Z 
2022-11-23T01:32:29.4870054Z 
2022-11-23T01:32:29.4870363Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4870679Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4870869Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.4871011Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:29.4871118Z {
2022-11-23T01:32:29.4871302Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4871414Z     {
2022-11-23T01:32:29.4871620Z         #pragma omp for 
2022-11-23T01:32:29.4871760Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.4871862Z         {
2022-11-23T01:32:29.4871994Z             #pragma GCC ivdep
2022-11-23T01:32:29.4872160Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:29.4872263Z             {
2022-11-23T01:32:29.4872361Z                 {
2022-11-23T01:32:29.4872464Z                     {
2022-11-23T01:32:29.4872616Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:29.4872780Z                         auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:29.4872908Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.4873049Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:29.4873149Z                     }
2022-11-23T01:32:29.4873248Z                 }
2022-11-23T01:32:29.4873343Z             }
2022-11-23T01:32:29.4873435Z         }
2022-11-23T01:32:29.4873530Z     }
2022-11-23T01:32:29.4873608Z }
2022-11-23T01:32:29.4873736Z ''')
2022-11-23T01:32:29.4873748Z 
2022-11-23T01:32:29.4873756Z 
2022-11-23T01:32:29.4873882Z async_compile.wait(globals())
2022-11-23T01:32:29.4873984Z del async_compile
2022-11-23T01:32:29.4873991Z 
2022-11-23T01:32:29.4874099Z def call(args):
2022-11-23T01:32:29.4874200Z     arg0_1, = args
2022-11-23T01:32:29.4874306Z     args.clear()
2022-11-23T01:32:29.4874561Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.4874749Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.4874852Z     del arg0_1
2022-11-23T01:32:29.4874954Z     return (buf0, )
2022-11-23T01:32:29.4874961Z 
2022-11-23T01:32:29.4874967Z 
2022-11-23T01:32:29.4875076Z if __name__ == "__main__":
2022-11-23T01:32:29.4875236Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4875402Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4875660Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.4875802Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4875809Z 
2022-11-23T01:32:29.4875908Z ok (1.623s)
2022-11-23T01:32:29.4876314Z   test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4876748Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4877052Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4877391Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4877762Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4878194Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4878647Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4879086Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4879568Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894> 
2022-11-23T01:32:29.4879698Z  895           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4879836Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4879966Z               4 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.4880094Z               6 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.4880274Z               8 LOAD_ATTR                3 (arange)
2022-11-23T01:32:29.4880414Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T01:32:29.4880422Z 
2022-11-23T01:32:29.4880553Z 896          12 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4880736Z              14 LOAD_CONST               2 (53)
2022-11-23T01:32:29.4880861Z              16 LOAD_CONST               3 (4)
2022-11-23T01:32:29.4880990Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4881123Z              20 LOAD_ATTR                5 (int64)
2022-11-23T01:32:29.4881248Z              22 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4881375Z              24 LOAD_ATTR                6 (device)
2022-11-23T01:32:29.4881382Z 
2022-11-23T01:32:29.4881616Z 895          26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T01:32:29.4881746Z              28 CALL_FUNCTION_KW         5
2022-11-23T01:32:29.4881841Z              30 BINARY_ADD
2022-11-23T01:32:29.4881952Z              32 RETURN_VALUE
2022-11-23T01:32:29.4882045Z  
2022-11-23T01:32:29.4882053Z 
2022-11-23T01:32:29.4882472Z [2022-11-23 01:21:58,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:29.4882760Z [2022-11-23 01:21:58,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4883091Z [2022-11-23 01:21:58,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.4883618Z [2022-11-23 01:21:58,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4884049Z [2022-11-23 01:21:58,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.4884495Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.4884886Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T01:32:29.4885297Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896
2022-11-23T01:32:29.4885698Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T01:32:29.4886147Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T01:32:29.4886638Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4887188Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4887934Z [2022-11-23 01:21:58,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4888538Z [2022-11-23 01:21:58,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:29.4889233Z [2022-11-23 01:21:58,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:29.4889657Z [2022-11-23 01:21:58,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:29.4890362Z [2022-11-23 01:21:58,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:29.4891057Z [2022-11-23 01:21:58,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.4891428Z [2022-11-23 01:21:58,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4891759Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.4892254Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894>
2022-11-23T01:32:29.4892591Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.4892895Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4893234Z [2022-11-23 01:21:58,124] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4893567Z [2022-11-23 01:21:58,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4893822Z [2022-11-23 01:21:58,127] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4894016Z  __compiled_fn_19 <eval_with_key>.128 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4894143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4894519Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')}
2022-11-23T01:32:29.4894792Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T01:32:29.4894922Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.4894941Z 
2022-11-23T01:32:29.4895364Z [2022-11-23 01:21:58,127] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4895501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4895633Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4895755Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4895890Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4896009Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4896139Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4896241Z              12 RETURN_VALUE
2022-11-23T01:32:29.4896261Z 
2022-11-23T01:32:29.4896342Z  
2022-11-23T01:32:29.4896781Z [2022-11-23 01:21:58,127] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4896934Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_19)
2022-11-23T01:32:29.4897062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4897193Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4897310Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4897433Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4897551Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.4897661Z              12 RETURN_VALUE
2022-11-23T01:32:29.4897669Z 
2022-11-23T01:32:29.4897803Z  
2022-11-23T01:32:29.4898057Z [2022-11-23 01:21:58,128] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4898164Z  - 
2022-11-23T01:32:29.4898328Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4898462Z             {
2022-11-23T01:32:29.4898650Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4899150Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4899331Z                 'obj_weakref': None
2022-11-23T01:32:29.4899635Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4899729Z             }
2022-11-23T01:32:29.4899827Z             
2022-11-23T01:32:29.4899934Z  - 
2022-11-23T01:32:29.4900096Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:29.4900186Z             {
2022-11-23T01:32:29.4900375Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.4900611Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:29.4900895Z                 'obj_weakref': <weakref at 0x7f2068082200; to 'Tensor' at 0x7f20606b8ea0>
2022-11-23T01:32:29.4901230Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4901357Z             }
2022-11-23T01:32:29.4901458Z             
2022-11-23T01:32:29.4901561Z  - 
2022-11-23T01:32:29.4901734Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4901829Z             {
2022-11-23T01:32:29.4902027Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4902187Z                 'code': None,
2022-11-23T01:32:29.4902462Z                 'obj_weakref': <weakref at 0x7f2068082200; to 'Tensor' at 0x7f20606b8ea0>
2022-11-23T01:32:29.4902790Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4902874Z             }
2022-11-23T01:32:29.4902968Z             
2022-11-23T01:32:29.4903069Z  - 
2022-11-23T01:32:29.4903258Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4903348Z             {
2022-11-23T01:32:29.4903536Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4903769Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.4903922Z                 'obj_weakref': None
2022-11-23T01:32:29.4904224Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4904326Z             }
2022-11-23T01:32:29.4904416Z             
2022-11-23T01:32:29.4904522Z  - 
2022-11-23T01:32:29.4904696Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4904789Z             {
2022-11-23T01:32:29.4904967Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4905260Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4905429Z                 'obj_weakref': None
2022-11-23T01:32:29.4905733Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4905827Z             }
2022-11-23T01:32:29.4905920Z             
2022-11-23T01:32:29.4906030Z  - 
2022-11-23T01:32:29.4906211Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4906312Z             {
2022-11-23T01:32:29.4906483Z                 'guard_types': None,
2022-11-23T01:32:29.4906635Z                 'code': None,
2022-11-23T01:32:29.4906799Z                 'obj_weakref': None
2022-11-23T01:32:29.4906963Z                 'guarded_class': None
2022-11-23T01:32:29.4907053Z             }
2022-11-23T01:32:29.4907133Z             
2022-11-23T01:32:29.4907240Z  - 
2022-11-23T01:32:29.4907447Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:32:29.4907541Z             {
2022-11-23T01:32:29.4907738Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.4907972Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:32:29.4908201Z                 'obj_weakref': None
2022-11-23T01:32:29.4908509Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:29.4908604Z             }
2022-11-23T01:32:29.4908778Z             
2022-11-23T01:32:29.4909127Z [2022-11-23 01:21:58,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18
2022-11-23T01:32:29.4909609Z [2022-11-23 01:21:59,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2i/c2in7wman5pdjqfzwepkwamsh7led6m4wrczgssmssp2ryeekbqi.py
2022-11-23T01:32:29.4909963Z [2022-11-23 01:21:59,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18
2022-11-23T01:32:29.4909972Z 
2022-11-23T01:32:29.4910100Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4910200Z import torch
2022-11-23T01:32:29.4910396Z import random
2022-11-23T01:32:29.4910563Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4910735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4910742Z 
2022-11-23T01:32:29.4910856Z aten = torch.ops.aten
2022-11-23T01:32:29.4911036Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4911176Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4911183Z 
2022-11-23T01:32:29.4911286Z import triton
2022-11-23T01:32:29.4911398Z import triton.language as tl
2022-11-23T01:32:29.4911566Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4911749Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4911756Z 
2022-11-23T01:32:29.4911763Z 
2022-11-23T01:32:29.4911958Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4912223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4912388Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4912527Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.4912622Z {
2022-11-23T01:32:29.4912754Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4912849Z     {
2022-11-23T01:32:29.4912963Z         #pragma omp for 
2022-11-23T01:32:29.4913084Z         for(long i0=0; i0<14; i0+=1)
2022-11-23T01:32:29.4913177Z         {
2022-11-23T01:32:29.4913270Z             {
2022-11-23T01:32:29.4913365Z                 {
2022-11-23T01:32:29.4913485Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.4913638Z                     auto tmp1 = static_cast<long>(4*i0);
2022-11-23T01:32:29.4913793Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:29.4913917Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.4914037Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.4914131Z                 }
2022-11-23T01:32:29.4914225Z             }
2022-11-23T01:32:29.4914306Z         }
2022-11-23T01:32:29.4914395Z     }
2022-11-23T01:32:29.4914484Z }
2022-11-23T01:32:29.4914605Z ''')
2022-11-23T01:32:29.4914613Z 
2022-11-23T01:32:29.4914620Z 
2022-11-23T01:32:29.4914746Z async_compile.wait(globals())
2022-11-23T01:32:29.4914850Z del async_compile
2022-11-23T01:32:29.4914857Z 
2022-11-23T01:32:29.4914960Z def call(args):
2022-11-23T01:32:29.4915051Z     arg0_1, = args
2022-11-23T01:32:29.4915157Z     args.clear()
2022-11-23T01:32:29.4915422Z     buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4915610Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.4915712Z     del arg0_1
2022-11-23T01:32:29.4915815Z     return (buf0, )
2022-11-23T01:32:29.4915822Z 
2022-11-23T01:32:29.4915828Z 
2022-11-23T01:32:29.4915939Z if __name__ == "__main__":
2022-11-23T01:32:29.4916097Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4916255Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4916523Z     arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4916671Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4916729Z 
2022-11-23T01:32:29.4916831Z ok (1.621s)
2022-11-23T01:32:29.4917232Z   test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4917693Z [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4917986Z [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4918330Z [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4918692Z [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4919106Z [2022-11-23 01:21:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4919560Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4919996Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4920480Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902> 
2022-11-23T01:32:29.4920609Z  903           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4920743Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.4920873Z               4 LOAD_ATTR                1 (arange)
2022-11-23T01:32:29.4921001Z               6 LOAD_CONST               1 (512)
2022-11-23T01:32:29.4921196Z               8 LOAD_CONST               2 (-512)
2022-11-23T01:32:29.4921378Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T01:32:29.4921509Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4921637Z              14 LOAD_ATTR                2 (device)
2022-11-23T01:32:29.4921849Z              16 LOAD_CONST               4 (('device',))
2022-11-23T01:32:29.4921979Z              18 CALL_FUNCTION_KW         4
2022-11-23T01:32:29.4922090Z              20 BINARY_SUBTRACT
2022-11-23T01:32:29.4922198Z              22 RETURN_VALUE
2022-11-23T01:32:29.4922281Z  
2022-11-23T01:32:29.4922288Z 
2022-11-23T01:32:29.4922713Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903
2022-11-23T01:32:29.4923004Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.4923339Z [2022-11-23 01:21:59,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.4923859Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.4924327Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.4924839Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.4925412Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.4926051Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.4926701Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:29.4927400Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:32:29.4928112Z [2022-11-23 01:21:59,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.4928490Z [2022-11-23 01:21:59,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.4928821Z [2022-11-23 01:21:59,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.4929301Z [2022-11-23 01:21:59,739] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902>
2022-11-23T01:32:29.4929629Z [2022-11-23 01:21:59,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.4929947Z [2022-11-23 01:21:59,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.4930287Z [2022-11-23 01:21:59,740] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.4930622Z [2022-11-23 01:21:59,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.4930880Z [2022-11-23 01:21:59,743] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.4931065Z  __compiled_fn_20 <eval_with_key>.134 opcode, name, target, args, kwargs
2022-11-23T01:32:29.4931194Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.4931575Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (512, -512, -1.0), {'device': device(type='cpu')}
2022-11-23T01:32:29.4931803Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T01:32:29.4931936Z output, output, output, ((sub,),), {}
2022-11-23T01:32:29.4931945Z 
2022-11-23T01:32:29.4932374Z [2022-11-23 01:21:59,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4932507Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.4932637Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4932763Z               4 BUILD_MAP                0
2022-11-23T01:32:29.4932891Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.4933016Z               8 DICT_MERGE               1
2022-11-23T01:32:29.4933132Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.4933251Z              12 RETURN_VALUE
2022-11-23T01:32:29.4933258Z 
2022-11-23T01:32:29.4933350Z  
2022-11-23T01:32:29.4933786Z [2022-11-23 01:21:59,743] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.4933933Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_20)
2022-11-23T01:32:29.4934058Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.4934189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.4934302Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.4934413Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.4934585Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.4934704Z              12 RETURN_VALUE
2022-11-23T01:32:29.4934712Z 
2022-11-23T01:32:29.4934804Z  
2022-11-23T01:32:29.4935085Z [2022-11-23 01:21:59,744] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.4935191Z  - 
2022-11-23T01:32:29.4935361Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.4935446Z             {
2022-11-23T01:32:29.4935644Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.4935901Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.4936068Z                 'obj_weakref': None
2022-11-23T01:32:29.4936368Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.4936463Z             }
2022-11-23T01:32:29.4936556Z             
2022-11-23T01:32:29.4936649Z  - 
2022-11-23T01:32:29.4936819Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:29.4936919Z             {
2022-11-23T01:32:29.4937116Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.4937354Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:29.4937638Z                 'obj_weakref': <weakref at 0x7f206814e750; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.4937971Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4938056Z             }
2022-11-23T01:32:29.4938149Z             
2022-11-23T01:32:29.4938250Z  - 
2022-11-23T01:32:29.4938415Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.4938507Z             {
2022-11-23T01:32:29.4938709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.4978040Z                 'code': None,
2022-11-23T01:32:29.4978428Z                 'obj_weakref': <weakref at 0x7f206814e750; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.4978971Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.4979088Z             }
2022-11-23T01:32:29.4979181Z             
2022-11-23T01:32:29.4979304Z  - 
2022-11-23T01:32:29.4979520Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.4979643Z             {
2022-11-23T01:32:29.4979838Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.4980114Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.4980302Z                 'obj_weakref': None
2022-11-23T01:32:29.4980639Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.4980748Z             }
2022-11-23T01:32:29.4980857Z             
2022-11-23T01:32:29.4980976Z  - 
2022-11-23T01:32:29.4981175Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.4981290Z             {
2022-11-23T01:32:29.4981531Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.4981877Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.4982063Z                 'obj_weakref': None
2022-11-23T01:32:29.4982383Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.4982497Z             }
2022-11-23T01:32:29.4982604Z             
2022-11-23T01:32:29.4982702Z  - 
2022-11-23T01:32:29.4982912Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.4983017Z             {
2022-11-23T01:32:29.4983212Z                 'guard_types': None,
2022-11-23T01:32:29.4983388Z                 'code': None,
2022-11-23T01:32:29.4983587Z                 'obj_weakref': None
2022-11-23T01:32:29.4983774Z                 'guarded_class': None
2022-11-23T01:32:29.4983867Z             }
2022-11-23T01:32:29.4983976Z             
2022-11-23T01:32:29.4984352Z [2022-11-23 01:21:59,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19
2022-11-23T01:32:29.4985124Z [2022-11-23 01:22:01,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlykxoct4myvii3q774gaeanz6cbxbgnmpvdzl4e3q52hug723w.py
2022-11-23T01:32:29.4985530Z [2022-11-23 01:22:01,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19
2022-11-23T01:32:29.4985606Z 
2022-11-23T01:32:29.4985757Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.4985884Z import torch
2022-11-23T01:32:29.4985997Z import random
2022-11-23T01:32:29.4986166Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.4986352Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.4986360Z 
2022-11-23T01:32:29.4986490Z aten = torch.ops.aten
2022-11-23T01:32:29.4986694Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.4986841Z async_compile = AsyncCompile()
2022-11-23T01:32:29.4986851Z 
2022-11-23T01:32:29.4986970Z import triton
2022-11-23T01:32:29.4987114Z import triton.language as tl
2022-11-23T01:32:29.4987289Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.4987509Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.4987516Z 
2022-11-23T01:32:29.4987522Z 
2022-11-23T01:32:29.4987744Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.4988062Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.4988245Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.4988398Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.4988503Z {
2022-11-23T01:32:29.4988656Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.4988745Z     {
2022-11-23T01:32:29.4988869Z         #pragma omp for 
2022-11-23T01:32:29.4989009Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.4989112Z         {
2022-11-23T01:32:29.4989218Z             {
2022-11-23T01:32:29.4989324Z                 {
2022-11-23T01:32:29.4989490Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.4989742Z                     auto tmp1 = static_cast<long>(512 + ((-1)*i0));
2022-11-23T01:32:29.4989908Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:29.4990118Z                     auto tmp3 = tmp0 - tmp2;
2022-11-23T01:32:29.4990343Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.4990449Z                 }
2022-11-23T01:32:29.4990546Z             }
2022-11-23T01:32:29.4990650Z         }
2022-11-23T01:32:29.4990737Z     }
2022-11-23T01:32:29.4990830Z }
2022-11-23T01:32:29.4990965Z ''')
2022-11-23T01:32:29.4990972Z 
2022-11-23T01:32:29.4990980Z 
2022-11-23T01:32:29.4991124Z async_compile.wait(globals())
2022-11-23T01:32:29.4991241Z del async_compile
2022-11-23T01:32:29.4991248Z 
2022-11-23T01:32:29.4991359Z def call(args):
2022-11-23T01:32:29.4991476Z     arg0_1, = args
2022-11-23T01:32:29.4991574Z     args.clear()
2022-11-23T01:32:29.4991867Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4992072Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.4992179Z     del arg0_1
2022-11-23T01:32:29.4992294Z     return (buf0, )
2022-11-23T01:32:29.4992301Z 
2022-11-23T01:32:29.4992312Z 
2022-11-23T01:32:29.4992429Z if __name__ == "__main__":
2022-11-23T01:32:29.4992608Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.4992786Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.4993054Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.4993213Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.4993220Z 
2022-11-23T01:32:29.4993330Z ok (1.587s)
2022-11-23T01:32:29.4993758Z   test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.4994261Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.4994586Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.4994933Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.4995372Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.4995831Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4996319Z [2022-11-23 01:22:01,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4996750Z [2022-11-23 01:22:01,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.4997263Z [2022-11-23 01:22:01,346] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247> 
2022-11-23T01:32:29.4997409Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.4997560Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:29.4997691Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4997830Z                6 CALL_METHOD              1
2022-11-23T01:32:29.4997975Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.4998125Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:29.4998243Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.4998371Z               14 CALL_METHOD              1
2022-11-23T01:32:29.4998502Z               16 BUILD_TUPLE              2
2022-11-23T01:32:29.4998628Z               18 RETURN_VALUE
2022-11-23T01:32:29.4998724Z  
2022-11-23T01:32:29.4998732Z 
2022-11-23T01:32:29.4999174Z [2022-11-23 01:22:01,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248
2022-11-23T01:32:29.4999489Z [2022-11-23 01:22:01,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.4999932Z [2022-11-23 01:22:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5000307Z [2022-11-23 01:22:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:29.5000708Z [2022-11-23 01:22:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:29.5001065Z [2022-11-23 01:22:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.5001553Z [2022-11-23 01:22:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5001944Z [2022-11-23 01:22:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:29.5002411Z [2022-11-23 01:22:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:29.5002789Z [2022-11-23 01:22:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5003139Z [2022-11-23 01:22:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5003684Z [2022-11-23 01:22:01,360] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247>
2022-11-23T01:32:29.5004089Z [2022-11-23 01:22:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5004533Z [2022-11-23 01:22:01,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5004963Z [2022-11-23 01:22:01,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5005333Z [2022-11-23 01:22:01,364] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5005603Z [2022-11-23 01:22:01,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5005811Z  __compiled_fn_21 <eval_with_key>.140 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5005946Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5006108Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T01:32:29.5006269Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T01:32:29.5006469Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:29.5006477Z 
2022-11-23T01:32:29.5006978Z [2022-11-23 01:22:01,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5007147Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5007271Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5007409Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5007556Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5007686Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5007824Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5007946Z              12 RETURN_VALUE
2022-11-23T01:32:29.5007955Z 
2022-11-23T01:32:29.5008057Z  
2022-11-23T01:32:29.5008539Z [2022-11-23 01:22:01,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5008683Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_21)
2022-11-23T01:32:29.5008828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5008962Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5009086Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5009222Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5009376Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.5009530Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5009653Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5009772Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.5009920Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5010061Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5010181Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.5010322Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.5010430Z              26 RETURN_VALUE
2022-11-23T01:32:29.5010438Z 
2022-11-23T01:32:29.5010536Z  
2022-11-23T01:32:29.5010795Z [2022-11-23 01:22:01,365] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5010910Z  - 
2022-11-23T01:32:29.5011089Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5011208Z             {
2022-11-23T01:32:29.5011448Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5011732Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5011908Z                 'obj_weakref': None
2022-11-23T01:32:29.5012212Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5012332Z             }
2022-11-23T01:32:29.5012433Z             
2022-11-23T01:32:29.5012542Z  - 
2022-11-23T01:32:29.5012735Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5012836Z             {
2022-11-23T01:32:29.5013051Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5013202Z                 'code': None,
2022-11-23T01:32:29.5013553Z                 'obj_weakref': <weakref at 0x7f2068120450; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.5013915Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5014066Z             }
2022-11-23T01:32:29.5014166Z             
2022-11-23T01:32:29.5014280Z  - 
2022-11-23T01:32:29.5014474Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5014561Z             {
2022-11-23T01:32:29.5014763Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5015028Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5015207Z                 'obj_weakref': None
2022-11-23T01:32:29.5015537Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5015640Z             }
2022-11-23T01:32:29.5015749Z             
2022-11-23T01:32:29.5015843Z  - 
2022-11-23T01:32:29.5016024Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5016128Z             {
2022-11-23T01:32:29.5016334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5016644Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5016824Z                 'obj_weakref': None
2022-11-23T01:32:29.5017144Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5017235Z             }
2022-11-23T01:32:29.5017324Z             
2022-11-23T01:32:29.5017428Z  - 
2022-11-23T01:32:29.5017624Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5017719Z             {
2022-11-23T01:32:29.5017901Z                 'guard_types': None,
2022-11-23T01:32:29.5018064Z                 'code': None,
2022-11-23T01:32:29.5018234Z                 'obj_weakref': None
2022-11-23T01:32:29.5018422Z                 'guarded_class': None
2022-11-23T01:32:29.5018524Z             }
2022-11-23T01:32:29.5018619Z             
2022-11-23T01:32:29.5019126Z [2022-11-23 01:22:01,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20
2022-11-23T01:32:29.5019635Z [2022-11-23 01:22:03,077] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f2/cf2r2mmaxmagtoyfkk6ev2fc6v3edkl52kd2kjjqzpeaexhbglxq.py
2022-11-23T01:32:29.5020005Z [2022-11-23 01:22:03,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20
2022-11-23T01:32:29.5020012Z 
2022-11-23T01:32:29.5020155Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5020251Z import torch
2022-11-23T01:32:29.5020358Z import random
2022-11-23T01:32:29.5020528Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5020720Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5020728Z 
2022-11-23T01:32:29.5020865Z aten = torch.ops.aten
2022-11-23T01:32:29.5021059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5021212Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5021219Z 
2022-11-23T01:32:29.5021320Z import triton
2022-11-23T01:32:29.5021456Z import triton.language as tl
2022-11-23T01:32:29.5021628Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5021834Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5021841Z 
2022-11-23T01:32:29.5021847Z 
2022-11-23T01:32:29.5022048Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5022344Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5022517Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5022654Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:29.5022789Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:29.5022889Z {
2022-11-23T01:32:29.5022988Z     {
2022-11-23T01:32:29.5023091Z         {
2022-11-23T01:32:29.5023264Z             struct IndexValue_1 {size_t index; float value;};
2022-11-23T01:32:29.5023732Z             IndexValue_1 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5023943Z             #pragma omp declare reduction(argmax : struct IndexValue_1 :\
2022-11-23T01:32:29.5024163Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5024416Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5024775Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5024958Z             struct IndexValue_2 {size_t index; float value;};
2022-11-23T01:32:29.5025157Z             IndexValue_2 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5025361Z             #pragma omp declare reduction(argmin : struct IndexValue_2 :\
2022-11-23T01:32:29.5025574Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5025781Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5026000Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5026162Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5026255Z             {
2022-11-23T01:32:29.5026462Z                 #pragma omp for reduction(argmax:tmp1) reduction(argmin:tmp2) 
2022-11-23T01:32:29.5026599Z                 for(long i0=0; i0<524288; i0+=1)
2022-11-23T01:32:29.5026707Z                 {
2022-11-23T01:32:29.5026808Z                     {
2022-11-23T01:32:29.5026952Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.5027098Z                         if (tmp1.value < tmp0) {
2022-11-23T01:32:29.5027250Z                             tmp1.index = i0; tmp1.value = tmp0;
2022-11-23T01:32:29.5027356Z                         }
2022-11-23T01:32:29.5027491Z                         if (tmp2.value > tmp0) {
2022-11-23T01:32:29.5027660Z                             tmp2.index = i0; tmp2.value = tmp0;
2022-11-23T01:32:29.5027777Z                         }
2022-11-23T01:32:29.5027882Z                     }
2022-11-23T01:32:29.5027989Z                 }
2022-11-23T01:32:29.5028079Z             }
2022-11-23T01:32:29.5028210Z             out_ptr0[0] = tmp1.index;
2022-11-23T01:32:29.5028341Z             out_ptr1[0] = tmp2.index;
2022-11-23T01:32:29.5028449Z         }
2022-11-23T01:32:29.5028547Z     }
2022-11-23T01:32:29.5028643Z }
2022-11-23T01:32:29.5028766Z ''')
2022-11-23T01:32:29.5028786Z 
2022-11-23T01:32:29.5028794Z 
2022-11-23T01:32:29.5028921Z async_compile.wait(globals())
2022-11-23T01:32:29.5029038Z del async_compile
2022-11-23T01:32:29.5029046Z 
2022-11-23T01:32:29.5029156Z def call(args):
2022-11-23T01:32:29.5029266Z     arg0_1, = args
2022-11-23T01:32:29.5029379Z     args.clear()
2022-11-23T01:32:29.5029641Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5029892Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5030115Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.5030224Z     del arg0_1
2022-11-23T01:32:29.5030434Z     return (buf0, buf1, )
2022-11-23T01:32:29.5030447Z 
2022-11-23T01:32:29.5030453Z 
2022-11-23T01:32:29.5030574Z if __name__ == "__main__":
2022-11-23T01:32:29.5030739Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5030924Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5031230Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5031398Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5031406Z 
2022-11-23T01:32:29.5031503Z ok (1.760s)
2022-11-23T01:32:29.5031973Z   test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5032495Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5032818Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5033215Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5033594Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5034047Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5034523Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5034982Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5035507Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258> 
2022-11-23T01:32:29.5035653Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5035782Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:29.5035923Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5036065Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5036199Z                8 CALL_METHOD              2
2022-11-23T01:32:29.5036208Z 
2022-11-23T01:32:29.5036354Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5036491Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:29.5036628Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5036750Z               16 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5036891Z               18 CALL_METHOD              2
2022-11-23T01:32:29.5036899Z 
2022-11-23T01:32:29.5037038Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5037183Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:29.5037319Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5037455Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5037582Z               28 CALL_METHOD              2
2022-11-23T01:32:29.5037590Z 
2022-11-23T01:32:29.5037729Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5037860Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:29.5037989Z               34 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5038126Z               36 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5038264Z               38 CALL_METHOD              2
2022-11-23T01:32:29.5038271Z 
2022-11-23T01:32:29.5038409Z 4259          40 BUILD_TUPLE              4
2022-11-23T01:32:29.5038532Z               42 RETURN_VALUE
2022-11-23T01:32:29.5038627Z  
2022-11-23T01:32:29.5038634Z 
2022-11-23T01:32:29.5039088Z [2022-11-23 01:22:03,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260
2022-11-23T01:32:29.5039392Z [2022-11-23 01:22:03,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5039836Z [2022-11-23 01:22:03,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5040201Z [2022-11-23 01:22:03,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:29.5040614Z [2022-11-23 01:22:03,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:29.5041124Z [2022-11-23 01:22:03,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5041616Z [2022-11-23 01:22:03,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261
2022-11-23T01:32:29.5042013Z [2022-11-23 01:22:03,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.5042478Z [2022-11-23 01:22:03,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5042875Z [2022-11-23 01:22:03,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:29.5043299Z [2022-11-23 01:22:03,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:29.5043783Z [2022-11-23 01:22:03,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5044193Z [2022-11-23 01:22:03,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262
2022-11-23T01:32:29.5044585Z [2022-11-23 01:22:03,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5045093Z [2022-11-23 01:22:03,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5045532Z [2022-11-23 01:22:03,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T01:32:29.5046009Z [2022-11-23 01:22:03,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:29.5046544Z [2022-11-23 01:22:03,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5047004Z [2022-11-23 01:22:03,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263
2022-11-23T01:32:29.5047419Z [2022-11-23 01:22:03,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5047965Z [2022-11-23 01:22:03,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5048434Z [2022-11-23 01:22:03,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:29.5048939Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:29.5049514Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5049954Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259
2022-11-23T01:32:29.5050397Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5050754Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5051334Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258>
2022-11-23T01:32:29.5051682Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5052108Z [2022-11-23 01:22:03,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5052475Z [2022-11-23 01:22:03,110] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5052827Z [2022-11-23 01:22:03,113] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5053102Z [2022-11-23 01:22:03,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5053302Z  __compiled_fn_22 <eval_with_key>.146 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5053431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5053581Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T01:32:29.5053748Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T01:32:29.5053912Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T01:32:29.5054071Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T01:32:29.5054275Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T01:32:29.5054283Z 
2022-11-23T01:32:29.5054743Z [2022-11-23 01:22:03,113] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5054891Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5055028Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5055148Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5055285Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5055412Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5055538Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5055657Z              12 RETURN_VALUE
2022-11-23T01:32:29.5055665Z 
2022-11-23T01:32:29.5055760Z  
2022-11-23T01:32:29.5056216Z [2022-11-23 01:22:03,114] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5056380Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_22)
2022-11-23T01:32:29.5056502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5056637Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5056751Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5056883Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5057040Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.5057188Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5057320Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5057425Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.5057583Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5057720Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5057847Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.5058003Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5058134Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.5058249Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.5058383Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5058519Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:29.5058634Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.5058767Z              36 BUILD_TUPLE              4
2022-11-23T01:32:29.5059015Z              38 RETURN_VALUE
2022-11-23T01:32:29.5059024Z 
2022-11-23T01:32:29.5059118Z  
2022-11-23T01:32:29.5059387Z [2022-11-23 01:22:03,114] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5059487Z  - 
2022-11-23T01:32:29.5059672Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5059854Z             {
2022-11-23T01:32:29.5060071Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5060338Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5060562Z                 'obj_weakref': None
2022-11-23T01:32:29.5060878Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5060981Z             }
2022-11-23T01:32:29.5061067Z             
2022-11-23T01:32:29.5061184Z  - 
2022-11-23T01:32:29.5061375Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5061486Z             {
2022-11-23T01:32:29.5061704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5061873Z                 'code': None,
2022-11-23T01:32:29.5062150Z                 'obj_weakref': <weakref at 0x7f20606cce00; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.5062506Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5062624Z             }
2022-11-23T01:32:29.5062722Z             
2022-11-23T01:32:29.5062835Z  - 
2022-11-23T01:32:29.5063030Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5063136Z             {
2022-11-23T01:32:29.5063321Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5063581Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5063767Z                 'obj_weakref': None
2022-11-23T01:32:29.5064089Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5064189Z             }
2022-11-23T01:32:29.5064297Z             
2022-11-23T01:32:29.5064405Z  - 
2022-11-23T01:32:29.5064574Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5064683Z             {
2022-11-23T01:32:29.5064892Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5065204Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5065396Z                 'obj_weakref': None
2022-11-23T01:32:29.5065713Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5065821Z             }
2022-11-23T01:32:29.5065918Z             
2022-11-23T01:32:29.5066018Z  - 
2022-11-23T01:32:29.5066216Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5066321Z             {
2022-11-23T01:32:29.5066504Z                 'guard_types': None,
2022-11-23T01:32:29.5066669Z                 'code': None,
2022-11-23T01:32:29.5066846Z                 'obj_weakref': None
2022-11-23T01:32:29.5067008Z                 'guarded_class': None
2022-11-23T01:32:29.5067120Z             }
2022-11-23T01:32:29.5067218Z             
2022-11-23T01:32:29.5067582Z [2022-11-23 01:22:03,119] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21
2022-11-23T01:32:29.5068100Z [2022-11-23 01:22:04,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qg/cqgvqt4ermusf367jcfrqm4shzsuxckun5oclxclop6fjy5qqt4c.py
2022-11-23T01:32:29.5068501Z [2022-11-23 01:22:04,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21
2022-11-23T01:32:29.5068512Z 
2022-11-23T01:32:29.5068667Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5068782Z import torch
2022-11-23T01:32:29.5068878Z import random
2022-11-23T01:32:29.5069053Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5069231Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5069239Z 
2022-11-23T01:32:29.5069363Z aten = torch.ops.aten
2022-11-23T01:32:29.5069574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5069719Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5069726Z 
2022-11-23T01:32:29.5069838Z import triton
2022-11-23T01:32:29.5069972Z import triton.language as tl
2022-11-23T01:32:29.5070140Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5070464Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5070473Z 
2022-11-23T01:32:29.5070479Z 
2022-11-23T01:32:29.5070693Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5071012Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5071194Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5071339Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:29.5071490Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.5071634Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.5071758Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:29.5071857Z {
2022-11-23T01:32:29.5072004Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5072108Z     {
2022-11-23T01:32:29.5072229Z         #pragma omp for 
2022-11-23T01:32:29.5072360Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:32:29.5072461Z         {
2022-11-23T01:32:29.5072553Z             {
2022-11-23T01:32:29.5072662Z                 {
2022-11-23T01:32:29.5072839Z                     struct IndexValue_3 {size_t index; float value;};
2022-11-23T01:32:29.5073192Z                     IndexValue_3 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5073398Z                     #pragma omp declare reduction(argmax : struct IndexValue_3 :\
2022-11-23T01:32:29.5073625Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5073853Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5074199Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5074363Z                     struct IndexValue_4 {size_t index; float value;};
2022-11-23T01:32:29.5074562Z                     IndexValue_4 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5074773Z                     #pragma omp declare reduction(argmin : struct IndexValue_4 :\
2022-11-23T01:32:29.5074988Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5075207Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5075414Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5075555Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:32:29.5075659Z                     {
2022-11-23T01:32:29.5075751Z                         {
2022-11-23T01:32:29.5075909Z                             auto tmp0 = in_ptr0[i0 + (144*i1)];
2022-11-23T01:32:29.5076059Z                             if (tmp1.value < tmp0) {
2022-11-23T01:32:29.5076225Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:32:29.5076333Z                             }
2022-11-23T01:32:29.5076478Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:29.5076651Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:29.5076766Z                             }
2022-11-23T01:32:29.5076870Z                         }
2022-11-23T01:32:29.5076977Z                     }
2022-11-23T01:32:29.5077123Z                     out_ptr0[i0] = tmp1.index;
2022-11-23T01:32:29.5077269Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:32:29.5077376Z                 }
2022-11-23T01:32:29.5077476Z             }
2022-11-23T01:32:29.5077582Z         }
2022-11-23T01:32:29.5077693Z         #pragma omp for 
2022-11-23T01:32:29.5077831Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:32:29.5077932Z         {
2022-11-23T01:32:29.5078036Z             {
2022-11-23T01:32:29.5078141Z                 {
2022-11-23T01:32:29.5078321Z                     struct IndexValue_5 {size_t index; float value;};
2022-11-23T01:32:29.5078719Z                     IndexValue_5 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5078921Z                     #pragma omp declare reduction(argmax : struct IndexValue_5 :\
2022-11-23T01:32:29.5079142Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5079465Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5079831Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5080021Z                     struct IndexValue_6 {size_t index; float value;};
2022-11-23T01:32:29.5080219Z                     IndexValue_6 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:29.5080435Z                     #pragma omp declare reduction(argmin : struct IndexValue_6 :\
2022-11-23T01:32:29.5080658Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:29.5080887Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:29.5081085Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:29.5081236Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:32:29.5081341Z                     {
2022-11-23T01:32:29.5081442Z                         {
2022-11-23T01:32:29.5081598Z                             auto tmp0 = in_ptr0[i1 + (144*i0)];
2022-11-23T01:32:29.5081750Z                             if (tmp1.value < tmp0) {
2022-11-23T01:32:29.5081917Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:32:29.5082016Z                             }
2022-11-23T01:32:29.5082162Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:29.5082329Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:29.5082444Z                             }
2022-11-23T01:32:29.5082551Z                         }
2022-11-23T01:32:29.5082658Z                     }
2022-11-23T01:32:29.5082799Z                     out_ptr2[i0] = tmp1.index;
2022-11-23T01:32:29.5082929Z                     out_ptr3[i0] = tmp2.index;
2022-11-23T01:32:29.5083035Z                 }
2022-11-23T01:32:29.5083137Z             }
2022-11-23T01:32:29.5083235Z         }
2022-11-23T01:32:29.5083334Z     }
2022-11-23T01:32:29.5083428Z }
2022-11-23T01:32:29.5083557Z ''')
2022-11-23T01:32:29.5083565Z 
2022-11-23T01:32:29.5083571Z 
2022-11-23T01:32:29.5083700Z async_compile.wait(globals())
2022-11-23T01:32:29.5083813Z del async_compile
2022-11-23T01:32:29.5083821Z 
2022-11-23T01:32:29.5083929Z def call(args):
2022-11-23T01:32:29.5084041Z     arg0_1, = args
2022-11-23T01:32:29.5084152Z     args.clear()
2022-11-23T01:32:29.5084450Z     buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5084721Z     buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5084987Z     buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5085258Z     buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.5085561Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:29.5085672Z     del arg0_1
2022-11-23T01:32:29.5085804Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:29.5085811Z 
2022-11-23T01:32:29.5085819Z 
2022-11-23T01:32:29.5085940Z if __name__ == "__main__":
2022-11-23T01:32:29.5086110Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5086289Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5086586Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5086734Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5086741Z 
2022-11-23T01:32:29.5086848Z ok (1.666s)
2022-11-23T01:32:29.5087086Z   test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 
2022-11-23T01:32:29.5087321Z         FIXME: In the case of having equally max/min elements, our implementation returns
2022-11-23T01:32:29.5087477Z         the last index instead of the first one
2022-11-23T01:32:29.5087613Z          (0.001s)
2022-11-23T01:32:29.5088046Z   test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:22:04,748] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5088496Z [2022-11-23 01:22:04,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5088798Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5089159Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5089545Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5089982Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5090454Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5090897Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5091419Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605> 
2022-11-23T01:32:29.5091563Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5091707Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:29.5091845Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5091971Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:29.5092106Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:29.5092247Z               10 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5092373Z               12 CALL_METHOD              4
2022-11-23T01:32:29.5092380Z 
2022-11-23T01:32:29.5092515Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5092659Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:29.5092787Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5092910Z               20 LOAD_CONST               4 (1)
2022-11-23T01:32:29.5093025Z               22 BINARY_ADD
2022-11-23T01:32:29.5093169Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:29.5093321Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:29.5093452Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5093586Z               30 CALL_METHOD              4
2022-11-23T01:32:29.5093721Z               32 LOAD_CONST               5 (2)
2022-11-23T01:32:29.5093834Z               34 BINARY_ADD
2022-11-23T01:32:29.5093846Z 
2022-11-23T01:32:29.5093967Z 3606          36 BUILD_TUPLE              2
2022-11-23T01:32:29.5094086Z               38 RETURN_VALUE
2022-11-23T01:32:29.5094188Z  
2022-11-23T01:32:29.5094195Z 
2022-11-23T01:32:29.5094657Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607
2022-11-23T01:32:29.5094961Z [2022-11-23 01:22:04,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5095390Z [2022-11-23 01:22:04,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5095802Z [2022-11-23 01:22:04,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T01:32:29.5096232Z [2022-11-23 01:22:04,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:29.5096979Z [2022-11-23 01:22:04,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.5097497Z [2022-11-23 01:22:04,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:29.5098079Z [2022-11-23 01:22:04,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:29.5098522Z [2022-11-23 01:22:04,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608
2022-11-23T01:32:29.5098997Z [2022-11-23 01:22:04,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.5099475Z [2022-11-23 01:22:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5099877Z [2022-11-23 01:22:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T01:32:29.5100302Z [2022-11-23 01:22:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:29.5100788Z [2022-11-23 01:22:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5101234Z [2022-11-23 01:22:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:29.5101736Z [2022-11-23 01:22:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.5102283Z [2022-11-23 01:22:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:29.5102886Z [2022-11-23 01:22:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:29.5103258Z [2022-11-23 01:22:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5103695Z [2022-11-23 01:22:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5104125Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606
2022-11-23T01:32:29.5104493Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5104842Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5105382Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605>
2022-11-23T01:32:29.5105734Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.5106144Z [2022-11-23 01:22:04,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5106506Z [2022-11-23 01:22:04,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5106865Z [2022-11-23 01:22:04,771] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5107191Z [2022-11-23 01:22:04,771] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5107395Z  __compiled_fn_23 <eval_with_key>.152 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5107524Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5107719Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:29.5107967Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.5108166Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:29.5108432Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T01:32:29.5108603Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T01:32:29.5108612Z 
2022-11-23T01:32:29.5109063Z [2022-11-23 01:22:04,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5109208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5109331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5109461Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5109594Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5109721Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5109854Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5109971Z              12 RETURN_VALUE
2022-11-23T01:32:29.5109979Z 
2022-11-23T01:32:29.5110070Z  
2022-11-23T01:32:29.5110593Z [2022-11-23 01:22:04,772] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5110748Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_23)
2022-11-23T01:32:29.5110880Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5111016Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5111135Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5111269Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5111426Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.5111578Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5111700Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5111812Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.5111960Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.5112094Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5112214Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.5112351Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.5112473Z              26 RETURN_VALUE
2022-11-23T01:32:29.5112481Z 
2022-11-23T01:32:29.5112581Z  
2022-11-23T01:32:29.5112837Z [2022-11-23 01:22:04,772] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5112949Z  - 
2022-11-23T01:32:29.5113133Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5113237Z             {
2022-11-23T01:32:29.5113443Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5113706Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5113880Z                 'obj_weakref': None
2022-11-23T01:32:29.5114180Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5114286Z             }
2022-11-23T01:32:29.5114388Z             
2022-11-23T01:32:29.5114501Z  - 
2022-11-23T01:32:29.5114686Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5114788Z             {
2022-11-23T01:32:29.5114995Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5115198Z                 'code': None,
2022-11-23T01:32:29.5115492Z                 'obj_weakref': <weakref at 0x7f20606b8450; to 'Tensor' at 0x7f20606cf470>
2022-11-23T01:32:29.5115837Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5115978Z             }
2022-11-23T01:32:29.5116079Z             
2022-11-23T01:32:29.5116188Z  - 
2022-11-23T01:32:29.5116376Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5116463Z             {
2022-11-23T01:32:29.5116660Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5116900Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5117073Z                 'obj_weakref': None
2022-11-23T01:32:29.5117388Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5117485Z             }
2022-11-23T01:32:29.5117587Z             
2022-11-23T01:32:29.5117684Z  - 
2022-11-23T01:32:29.5117867Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5117967Z             {
2022-11-23T01:32:29.5118170Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5118481Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5118655Z                 'obj_weakref': None
2022-11-23T01:32:29.5118964Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5119050Z             }
2022-11-23T01:32:29.5119145Z             
2022-11-23T01:32:29.5119250Z  - 
2022-11-23T01:32:29.5119446Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5119545Z             {
2022-11-23T01:32:29.5119733Z                 'guard_types': None,
2022-11-23T01:32:29.5119895Z                 'code': None,
2022-11-23T01:32:29.5120057Z                 'obj_weakref': None
2022-11-23T01:32:29.5120234Z                 'guarded_class': None
2022-11-23T01:32:29.5120339Z             }
2022-11-23T01:32:29.5120438Z             
2022-11-23T01:32:29.5120817Z [2022-11-23 01:22:04,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22
2022-11-23T01:32:29.5121327Z [2022-11-23 01:22:06,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckys677kzomgpo4xoa7sqcchilfzxhrijdlj624t2dg6njvwo6oj.py
2022-11-23T01:32:29.5121690Z [2022-11-23 01:22:06,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22
2022-11-23T01:32:29.5121699Z 
2022-11-23T01:32:29.5121845Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5121942Z import torch
2022-11-23T01:32:29.5122048Z import random
2022-11-23T01:32:29.5122213Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5122384Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5122393Z 
2022-11-23T01:32:29.5122507Z aten = torch.ops.aten
2022-11-23T01:32:29.5122721Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5122851Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5122859Z 
2022-11-23T01:32:29.5122952Z import triton
2022-11-23T01:32:29.5123084Z import triton.language as tl
2022-11-23T01:32:29.5123267Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5123466Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5123475Z 
2022-11-23T01:32:29.5123482Z 
2022-11-23T01:32:29.5123685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5123969Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5124144Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.5124295Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:29.5124378Z {
2022-11-23T01:32:29.5124521Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5124623Z     {
2022-11-23T01:32:29.5124741Z         #pragma omp for 
2022-11-23T01:32:29.5124924Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:29.5125031Z         {
2022-11-23T01:32:29.5125221Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.5125397Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.5125566Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.5125749Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.5125881Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.5126025Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.5126120Z         }
2022-11-23T01:32:29.5126258Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.5126390Z         for(long i0=4096; i0<4096; i0+=1)
2022-11-23T01:32:29.5126475Z         {
2022-11-23T01:32:29.5126595Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.5126745Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.5126870Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.5127063Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:29.5127191Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.5127323Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.5127413Z         }
2022-11-23T01:32:29.5127508Z     }
2022-11-23T01:32:29.5127603Z }
2022-11-23T01:32:29.5127740Z ''')
2022-11-23T01:32:29.5127748Z 
2022-11-23T01:32:29.5127754Z 
2022-11-23T01:32:29.5127884Z async_compile.wait(globals())
2022-11-23T01:32:29.5127993Z del async_compile
2022-11-23T01:32:29.5128001Z 
2022-11-23T01:32:29.5128112Z def call(args):
2022-11-23T01:32:29.5128208Z     arg0_1, = args
2022-11-23T01:32:29.5128326Z     args.clear()
2022-11-23T01:32:29.5128611Z     buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5128787Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T01:32:29.5128983Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:29.5129150Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T01:32:29.5129158Z 
2022-11-23T01:32:29.5129165Z 
2022-11-23T01:32:29.5129286Z if __name__ == "__main__":
2022-11-23T01:32:29.5129449Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5129618Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5129900Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5130058Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5130065Z 
2022-11-23T01:32:29.5130163Z ok (1.625s)
2022-11-23T01:32:29.5130622Z   test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5131061Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5131376Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5131738Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5132133Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5132565Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5133071Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5133532Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5134110Z [2022-11-23 01:22:06,374] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614> 
2022-11-23T01:32:29.5134264Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5134460Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T01:32:29.5134468Z 
2022-11-23T01:32:29.5134602Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.5134738Z                6 LOAD_CONST               1 (8)
2022-11-23T01:32:29.5134867Z                8 BINARY_MULTIPLY
2022-11-23T01:32:29.5135007Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:29.5135110Z               12 BINARY_ADD
2022-11-23T01:32:29.5135118Z 
2022-11-23T01:32:29.5135259Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T01:32:29.5135395Z               16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.5135517Z               18 BINARY_MULTIPLY
2022-11-23T01:32:29.5135657Z               20 LOAD_CONST               4 (4)
2022-11-23T01:32:29.5135785Z               22 BINARY_SUBTRACT
2022-11-23T01:32:29.5135792Z 
2022-11-23T01:32:29.5135922Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T01:32:29.5136050Z               26 LOAD_ATTR                2 (shape)
2022-11-23T01:32:29.5136182Z               28 LOAD_CONST               5 (0)
2022-11-23T01:32:29.5136297Z               30 BINARY_SUBSCR
2022-11-23T01:32:29.5136432Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.5136576Z               34 LOAD_ATTR                2 (shape)
2022-11-23T01:32:29.5136707Z               36 LOAD_CONST               6 (1)
2022-11-23T01:32:29.5136820Z               38 BINARY_SUBSCR
2022-11-23T01:32:29.5136936Z               40 LOAD_CONST               3 (2)
2022-11-23T01:32:29.5137060Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.5137193Z               44 BUILD_TUPLE              2
2022-11-23T01:32:29.5137200Z 
2022-11-23T01:32:29.5137322Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T01:32:29.5137464Z               48 LOAD_ATTR                2 (shape)
2022-11-23T01:32:29.5137594Z               50 LOAD_CONST               6 (1)
2022-11-23T01:32:29.5137709Z               52 BINARY_SUBSCR
2022-11-23T01:32:29.5137835Z               54 LOAD_CONST               3 (2)
2022-11-23T01:32:29.5137961Z               56 BUILD_TUPLE              2
2022-11-23T01:32:29.5137969Z 
2022-11-23T01:32:29.5138101Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T01:32:29.5138108Z 
2022-11-23T01:32:29.5138399Z 3615          60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T01:32:29.5138532Z               62 CALL_FUNCTION_KW         5
2022-11-23T01:32:29.5138644Z               64 RETURN_VALUE
2022-11-23T01:32:29.5138745Z  
2022-11-23T01:32:29.5138752Z 
2022-11-23T01:32:29.5139330Z [2022-11-23 01:22:06,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:29.5139641Z [2022-11-23 01:22:06,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5140094Z [2022-11-23 01:22:06,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5140522Z [2022-11-23 01:22:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616
2022-11-23T01:32:29.5140905Z [2022-11-23 01:22:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T01:32:29.5141327Z [2022-11-23 01:22:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:29.5141818Z [2022-11-23 01:22:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5142315Z [2022-11-23 01:22:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:29.5142803Z [2022-11-23 01:22:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5143298Z [2022-11-23 01:22:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617
2022-11-23T01:32:29.5143706Z [2022-11-23 01:22:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:29.5144154Z [2022-11-23 01:22:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5144711Z [2022-11-23 01:22:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5145176Z [2022-11-23 01:22:06,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5145704Z [2022-11-23 01:22:06,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5146150Z [2022-11-23 01:22:06,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618
2022-11-23T01:32:29.5146586Z [2022-11-23 01:22:06,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5147084Z [2022-11-23 01:22:06,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5147568Z [2022-11-23 01:22:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T01:32:29.5148143Z [2022-11-23 01:22:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5148661Z [2022-11-23 01:22:06,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5149220Z [2022-11-23 01:22:06,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.5149783Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T01:32:29.5150493Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5151083Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5151747Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5152394Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5152866Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619
2022-11-23T01:32:29.5153400Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:29.5153938Z [2022-11-23 01:22:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.5154473Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T01:32:29.5155091Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5155647Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5156263Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5156721Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620
2022-11-23T01:32:29.5157249Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.5157707Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:29.5158316Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5158938Z [2022-11-23 01:22:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.5159295Z [2022-11-23 01:22:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5159786Z [2022-11-23 01:22:06,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614>
2022-11-23T01:32:29.5160129Z [2022-11-23 01:22:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5160458Z [2022-11-23 01:22:06,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5160808Z [2022-11-23 01:22:06,391] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5161154Z [2022-11-23 01:22:06,395] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5161415Z [2022-11-23 01:22:06,395] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5161616Z  __compiled_fn_24 <eval_with_key>.158 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5161743Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5161880Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.5162175Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T01:32:29.5162437Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T01:32:29.5162687Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:29.5162967Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T01:32:29.5163352Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T01:32:29.5163526Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T01:32:29.5163535Z 
2022-11-23T01:32:29.5164006Z [2022-11-23 01:22:06,396] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5164159Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5164297Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5164433Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5164571Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5164703Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5164833Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5164958Z              12 RETURN_VALUE
2022-11-23T01:32:29.5164967Z 
2022-11-23T01:32:29.5165066Z  
2022-11-23T01:32:29.5165536Z [2022-11-23 01:22:06,396] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5165702Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_24)
2022-11-23T01:32:29.5165838Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5165979Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5166098Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5166219Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5166347Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5166473Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.5166610Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.5166753Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5166871Z              18 RETURN_VALUE
2022-11-23T01:32:29.5166883Z 
2022-11-23T01:32:29.5166981Z  
2022-11-23T01:32:29.5167241Z [2022-11-23 01:22:06,397] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5167359Z  - 
2022-11-23T01:32:29.5167536Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5167641Z             {
2022-11-23T01:32:29.5167856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5168131Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.5168310Z                 'obj_weakref': None
2022-11-23T01:32:29.5168630Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5168735Z             }
2022-11-23T01:32:29.5168835Z             
2022-11-23T01:32:29.5168940Z  - 
2022-11-23T01:32:29.5169134Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:29.5169236Z             {
2022-11-23T01:32:29.5169443Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.5169686Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:29.5169998Z                 'obj_weakref': <weakref at 0x7f20682fe5c0; to 'Tensor' at 0x7f2068080450>
2022-11-23T01:32:29.5170360Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5170460Z             }
2022-11-23T01:32:29.5170560Z             
2022-11-23T01:32:29.5170669Z  - 
2022-11-23T01:32:29.5170861Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5170954Z             {
2022-11-23T01:32:29.5171169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5171331Z                 'code': None,
2022-11-23T01:32:29.5171629Z                 'obj_weakref': <weakref at 0x7f20682fe5c0; to 'Tensor' at 0x7f2068080450>
2022-11-23T01:32:29.5172026Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5172130Z             }
2022-11-23T01:32:29.5172233Z             
2022-11-23T01:32:29.5172366Z  - 
2022-11-23T01:32:29.5172555Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.5172657Z             {
2022-11-23T01:32:29.5172872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5173029Z                 'code': None,
2022-11-23T01:32:29.5173325Z                 'obj_weakref': <weakref at 0x7f20682ff6f0; to 'Tensor' at 0x7f20606b8860>
2022-11-23T01:32:29.5173675Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5173776Z             }
2022-11-23T01:32:29.5173866Z             
2022-11-23T01:32:29.5173980Z  - 
2022-11-23T01:32:29.5174182Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5174284Z             {
2022-11-23T01:32:29.5174492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5174740Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5174926Z                 'obj_weakref': None
2022-11-23T01:32:29.5175237Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5175340Z             }
2022-11-23T01:32:29.5175439Z             
2022-11-23T01:32:29.5175551Z  - 
2022-11-23T01:32:29.5175737Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5175841Z             {
2022-11-23T01:32:29.5176043Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5176348Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5176551Z                 'obj_weakref': None
2022-11-23T01:32:29.5176881Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5176985Z             }
2022-11-23T01:32:29.5177090Z             
2022-11-23T01:32:29.5177207Z  - 
2022-11-23T01:32:29.5177403Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5177495Z             {
2022-11-23T01:32:29.5177672Z                 'guard_types': None,
2022-11-23T01:32:29.5177833Z                 'code': None,
2022-11-23T01:32:29.5178001Z                 'obj_weakref': None
2022-11-23T01:32:29.5178177Z                 'guarded_class': None
2022-11-23T01:32:29.5178276Z             }
2022-11-23T01:32:29.5178362Z             
2022-11-23T01:32:29.5178722Z [2022-11-23 01:22:06,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23
2022-11-23T01:32:29.5179358Z [2022-11-23 01:22:08,005] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/65/c65nc4vc27hosc5manoufkhbvvgiec2hcrtlfp6u4jq62vvoqebr.py
2022-11-23T01:32:29.5179727Z [2022-11-23 01:22:08,006] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23
2022-11-23T01:32:29.5179736Z 
2022-11-23T01:32:29.5179886Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5179991Z import torch
2022-11-23T01:32:29.5180105Z import random
2022-11-23T01:32:29.5180271Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5180455Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5180463Z 
2022-11-23T01:32:29.5180570Z aten = torch.ops.aten
2022-11-23T01:32:29.5180763Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5180900Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5180907Z 
2022-11-23T01:32:29.5181012Z import triton
2022-11-23T01:32:29.5181118Z import triton.language as tl
2022-11-23T01:32:29.5181255Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5181399Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5181405Z 
2022-11-23T01:32:29.5181409Z 
2022-11-23T01:32:29.5181556Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5181828Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5181962Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5182077Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.5182213Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5182283Z {
2022-11-23T01:32:29.5182392Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5182460Z     {
2022-11-23T01:32:29.5182536Z         #pragma omp for 
2022-11-23T01:32:29.5182630Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T01:32:29.5182700Z         {
2022-11-23T01:32:29.5182849Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.5182993Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:29.5183086Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.5183226Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:29.5183325Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.5183416Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.5183488Z         }
2022-11-23T01:32:29.5183594Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.5183700Z         for(long i0=10240; i0<10240; i0+=1)
2022-11-23T01:32:29.5183769Z         {
2022-11-23T01:32:29.5183864Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.5183975Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:29.5184057Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.5184165Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:29.5184259Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.5184346Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.5184417Z         }
2022-11-23T01:32:29.5184502Z         #pragma omp for 
2022-11-23T01:32:29.5184584Z         for(long i0=0; i0<5120; i0+=1)
2022-11-23T01:32:29.5184656Z         {
2022-11-23T01:32:29.5184725Z             {
2022-11-23T01:32:29.5184797Z                 {
2022-11-23T01:32:29.5184899Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.5185011Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.5185113Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.5185219Z                     auto tmp3 = static_cast<float>(4);
2022-11-23T01:32:29.5185365Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:29.5185459Z                     out_ptr0[2*i0] = tmp4;
2022-11-23T01:32:29.5185533Z                 }
2022-11-23T01:32:29.5185605Z             }
2022-11-23T01:32:29.5185674Z         }
2022-11-23T01:32:29.5185743Z     }
2022-11-23T01:32:29.5185803Z }
2022-11-23T01:32:29.5185888Z ''')
2022-11-23T01:32:29.5185894Z 
2022-11-23T01:32:29.5185899Z 
2022-11-23T01:32:29.5185996Z async_compile.wait(globals())
2022-11-23T01:32:29.5186077Z del async_compile
2022-11-23T01:32:29.5186083Z 
2022-11-23T01:32:29.5186160Z def call(args):
2022-11-23T01:32:29.5186241Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.5186328Z     args.clear()
2022-11-23T01:32:29.5186531Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5186706Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5186787Z     del arg0_1
2022-11-23T01:32:29.5186864Z     del arg1_1
2022-11-23T01:32:29.5186944Z     return (buf0, )
2022-11-23T01:32:29.5186950Z 
2022-11-23T01:32:29.5186954Z 
2022-11-23T01:32:29.5187041Z if __name__ == "__main__":
2022-11-23T01:32:29.5187162Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5187296Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5187497Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5187705Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5187830Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.5187835Z 
2022-11-23T01:32:29.5187941Z ok (1.691s)
2022-11-23T01:32:29.5188253Z   test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5188597Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5188826Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5189083Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5189363Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5189686Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5190024Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5190453Z [2022-11-23 01:22:08,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5190833Z [2022-11-23 01:22:08,065] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011> 
2022-11-23T01:32:29.5190937Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5191054Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:29.5191156Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5191256Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5191358Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5191463Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5191551Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5191647Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5191742Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5191864Z               18 CALL_METHOD              3
2022-11-23T01:32:29.5191979Z               20 RETURN_VALUE
2022-11-23T01:32:29.5192079Z  
2022-11-23T01:32:29.5192087Z 
2022-11-23T01:32:29.5192554Z [2022-11-23 01:22:08,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012
2022-11-23T01:32:29.5192877Z [2022-11-23 01:22:08,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5193328Z [2022-11-23 01:22:08,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5193723Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5194156Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5194631Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5195144Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5195579Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5196079Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5196672Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5197176Z [2022-11-23 01:22:08,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5197527Z [2022-11-23 01:22:08,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5198082Z [2022-11-23 01:22:08,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011>
2022-11-23T01:32:29.5198457Z [2022-11-23 01:22:08,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5198786Z [2022-11-23 01:22:08,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5199158Z [2022-11-23 01:22:08,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5199503Z [2022-11-23 01:22:08,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5199785Z [2022-11-23 01:22:08,076] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5199987Z  __compiled_fn_25 <eval_with_key>.164 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5200125Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5200306Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:29.5200465Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5200474Z 
2022-11-23T01:32:29.5200916Z [2022-11-23 01:22:08,077] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5201068Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5201225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5201355Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5201494Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5201629Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5201765Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5201886Z              12 RETURN_VALUE
2022-11-23T01:32:29.5201894Z 
2022-11-23T01:32:29.5201977Z  
2022-11-23T01:32:29.5202439Z [2022-11-23 01:22:08,077] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5202609Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_25)
2022-11-23T01:32:29.5202749Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5202886Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5203010Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5203139Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5203286Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5203393Z              12 RETURN_VALUE
2022-11-23T01:32:29.5203401Z 
2022-11-23T01:32:29.5203501Z  
2022-11-23T01:32:29.5203768Z [2022-11-23 01:22:08,077] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5203877Z  - 
2022-11-23T01:32:29.5204055Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5204151Z             {
2022-11-23T01:32:29.5204356Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5204620Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5204796Z                 'obj_weakref': None
2022-11-23T01:32:29.5205113Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5205216Z             }
2022-11-23T01:32:29.5205318Z             
2022-11-23T01:32:29.5205431Z  - 
2022-11-23T01:32:29.5205625Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5205766Z             {
2022-11-23T01:32:29.5205986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5206149Z                 'code': None,
2022-11-23T01:32:29.5206491Z                 'obj_weakref': <weakref at 0x7f206814e110; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.5206841Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5206943Z             }
2022-11-23T01:32:29.5207035Z             
2022-11-23T01:32:29.5207132Z  - 
2022-11-23T01:32:29.5207330Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5207436Z             {
2022-11-23T01:32:29.5207639Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5207889Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5208063Z                 'obj_weakref': None
2022-11-23T01:32:29.5208387Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5208474Z             }
2022-11-23T01:32:29.5208584Z             
2022-11-23T01:32:29.5208694Z  - 
2022-11-23T01:32:29.5208886Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5209010Z             {
2022-11-23T01:32:29.5209210Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5209523Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5209687Z                 'obj_weakref': None
2022-11-23T01:32:29.5210008Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5210105Z             }
2022-11-23T01:32:29.5210203Z             
2022-11-23T01:32:29.5210319Z  - 
2022-11-23T01:32:29.5210513Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5210612Z             {
2022-11-23T01:32:29.5210781Z                 'guard_types': None,
2022-11-23T01:32:29.5210948Z                 'code': None,
2022-11-23T01:32:29.5211140Z                 'obj_weakref': None
2022-11-23T01:32:29.5211325Z                 'guarded_class': None
2022-11-23T01:32:29.5211424Z             }
2022-11-23T01:32:29.5211520Z             
2022-11-23T01:32:29.5211896Z [2022-11-23 01:22:08,081] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24
2022-11-23T01:32:29.5212388Z [2022-11-23 01:22:09,748] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uk/cukuqitxt3n4sb7x7zkdbaylbnvln5coop6x4tiwzvfys4dy35nw.py
2022-11-23T01:32:29.5212764Z [2022-11-23 01:22:09,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24
2022-11-23T01:32:29.5212774Z 
2022-11-23T01:32:29.5212918Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5213026Z import torch
2022-11-23T01:32:29.5213141Z import random
2022-11-23T01:32:29.5213310Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5213496Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5213504Z 
2022-11-23T01:32:29.5213632Z aten = torch.ops.aten
2022-11-23T01:32:29.5213815Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5213962Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5213975Z 
2022-11-23T01:32:29.5214088Z import triton
2022-11-23T01:32:29.5214227Z import triton.language as tl
2022-11-23T01:32:29.5214408Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5214612Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5214619Z 
2022-11-23T01:32:29.5214625Z 
2022-11-23T01:32:29.5214828Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5306618Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5306918Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5307072Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5307170Z {
2022-11-23T01:32:29.5307635Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5307730Z     {
2022-11-23T01:32:29.5307851Z         #pragma omp for 
2022-11-23T01:32:29.5307976Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.5308075Z         {
2022-11-23T01:32:29.5308279Z             #pragma GCC ivdep
2022-11-23T01:32:29.5308403Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:29.5308502Z             {
2022-11-23T01:32:29.5308617Z                 #pragma GCC ivdep
2022-11-23T01:32:29.5308757Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:29.5308860Z                 {
2022-11-23T01:32:29.5308965Z                     {
2022-11-23T01:32:29.5309076Z                         {
2022-11-23T01:32:29.5309248Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5309420Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5309573Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5309743Z                             auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5309911Z                             auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5310083Z                             auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5310357Z                             auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5310519Z                             auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5310680Z                             auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:29.5310825Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:29.5310963Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:29.5311104Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:29.5311249Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:29.5311399Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:29.5311550Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:29.5311698Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:29.5311836Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:29.5312004Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:29.5312154Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:29.5312310Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18;
2022-11-23T01:32:29.5312422Z                         }
2022-11-23T01:32:29.5312529Z                     }
2022-11-23T01:32:29.5312633Z                 }
2022-11-23T01:32:29.5312726Z             }
2022-11-23T01:32:29.5312816Z         }
2022-11-23T01:32:29.5312918Z     }
2022-11-23T01:32:29.5313016Z }
2022-11-23T01:32:29.5313231Z ''')
2022-11-23T01:32:29.5313241Z 
2022-11-23T01:32:29.5313247Z 
2022-11-23T01:32:29.5313384Z async_compile.wait(globals())
2022-11-23T01:32:29.5313497Z del async_compile
2022-11-23T01:32:29.5313505Z 
2022-11-23T01:32:29.5313609Z def call(args):
2022-11-23T01:32:29.5313710Z     arg0_1, = args
2022-11-23T01:32:29.5313810Z     args.clear()
2022-11-23T01:32:29.5314122Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5314322Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5314432Z     del arg0_1
2022-11-23T01:32:29.5314541Z     return (buf0, )
2022-11-23T01:32:29.5314549Z 
2022-11-23T01:32:29.5314554Z 
2022-11-23T01:32:29.5314670Z if __name__ == "__main__":
2022-11-23T01:32:29.5314843Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5315007Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5315318Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5315475Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5315610Z 
2022-11-23T01:32:29.5315721Z ok (1.689s)
2022-11-23T01:32:29.5316159Z   test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5316636Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5316953Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5317298Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5317693Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5318132Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5318755Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5319220Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5319724Z [2022-11-23 01:22:09,774] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020> 
2022-11-23T01:32:29.5319865Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5320012Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:29.5320146Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5320280Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5320417Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5320554Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5320675Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5320802Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5320934Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5321069Z               18 CALL_METHOD              3
2022-11-23T01:32:29.5321185Z               20 RETURN_VALUE
2022-11-23T01:32:29.5321279Z  
2022-11-23T01:32:29.5321287Z 
2022-11-23T01:32:29.5321774Z [2022-11-23 01:22:09,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021
2022-11-23T01:32:29.5322069Z [2022-11-23 01:22:09,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5322481Z [2022-11-23 01:22:09,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5322848Z [2022-11-23 01:22:09,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5323238Z [2022-11-23 01:22:09,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5323678Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5324156Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5324582Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5325053Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5325638Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5326131Z [2022-11-23 01:22:09,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5326466Z [2022-11-23 01:22:09,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5326968Z [2022-11-23 01:22:09,782] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020>
2022-11-23T01:32:29.5327308Z [2022-11-23 01:22:09,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5327629Z [2022-11-23 01:22:09,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5327977Z [2022-11-23 01:22:09,783] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5328318Z [2022-11-23 01:22:09,785] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5328584Z [2022-11-23 01:22:09,785] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5328775Z  __compiled_fn_26 <eval_with_key>.170 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5328906Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5329093Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:29.5329244Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5329253Z 
2022-11-23T01:32:29.5329695Z [2022-11-23 01:22:09,786] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5329827Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5329959Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5330087Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5330228Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5330353Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5330485Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5330602Z              12 RETURN_VALUE
2022-11-23T01:32:29.5330610Z 
2022-11-23T01:32:29.5330692Z  
2022-11-23T01:32:29.5331140Z [2022-11-23 01:22:09,786] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5331324Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_26)
2022-11-23T01:32:29.5331479Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5331612Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5331701Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5331797Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5331893Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5331979Z              12 RETURN_VALUE
2022-11-23T01:32:29.5331989Z 
2022-11-23T01:32:29.5332078Z  
2022-11-23T01:32:29.5332343Z [2022-11-23 01:22:09,786] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5332425Z  - 
2022-11-23T01:32:29.5332552Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5332622Z             {
2022-11-23T01:32:29.5332786Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5333022Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5333163Z                 'obj_weakref': None
2022-11-23T01:32:29.5333443Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5333515Z             }
2022-11-23T01:32:29.5333585Z             
2022-11-23T01:32:29.5333662Z  - 
2022-11-23T01:32:29.5333854Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5333918Z             {
2022-11-23T01:32:29.5334099Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5334265Z                 'code': None,
2022-11-23T01:32:29.5334517Z                 'obj_weakref': <weakref at 0x7f206814c450; to 'Tensor' at 0x7f21279e6ed0>
2022-11-23T01:32:29.5334771Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5334842Z             }
2022-11-23T01:32:29.5334926Z             
2022-11-23T01:32:29.5335021Z  - 
2022-11-23T01:32:29.5335222Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5335301Z             {
2022-11-23T01:32:29.5335446Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5335626Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5335756Z                 'obj_weakref': None
2022-11-23T01:32:29.5336033Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5336123Z             }
2022-11-23T01:32:29.5336195Z             
2022-11-23T01:32:29.5336283Z  - 
2022-11-23T01:32:29.5336465Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5336539Z             {
2022-11-23T01:32:29.5336685Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5336910Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5337026Z                 'obj_weakref': None
2022-11-23T01:32:29.5337308Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5337390Z             }
2022-11-23T01:32:29.5337468Z             
2022-11-23T01:32:29.5337580Z  - 
2022-11-23T01:32:29.5337736Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5337804Z             {
2022-11-23T01:32:29.5337922Z                 'guard_types': None,
2022-11-23T01:32:29.5338039Z                 'code': None,
2022-11-23T01:32:29.5338166Z                 'obj_weakref': None
2022-11-23T01:32:29.5338302Z                 'guarded_class': None
2022-11-23T01:32:29.5338398Z             }
2022-11-23T01:32:29.5338500Z             
2022-11-23T01:32:29.5338779Z [2022-11-23 01:22:09,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25
2022-11-23T01:32:29.5339323Z [2022-11-23 01:22:11,409] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gq/cgqxeo5zvrwr6enpgsew4oqihcv6x2erv4fahe3gbgyywdzsahrq.py
2022-11-23T01:32:29.5339633Z [2022-11-23 01:22:11,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25
2022-11-23T01:32:29.5339639Z 
2022-11-23T01:32:29.5339742Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5339816Z import torch
2022-11-23T01:32:29.5339892Z import random
2022-11-23T01:32:29.5340015Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5340175Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5340183Z 
2022-11-23T01:32:29.5340306Z aten = torch.ops.aten
2022-11-23T01:32:29.5340444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5340546Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5340551Z 
2022-11-23T01:32:29.5340628Z import triton
2022-11-23T01:32:29.5340722Z import triton.language as tl
2022-11-23T01:32:29.5340851Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5341016Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5341025Z 
2022-11-23T01:32:29.5341031Z 
2022-11-23T01:32:29.5341221Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5341431Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5341558Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5341659Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5341726Z {
2022-11-23T01:32:29.5341924Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5342024Z     {
2022-11-23T01:32:29.5342128Z         #pragma omp for 
2022-11-23T01:32:29.5342220Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.5342319Z         {
2022-11-23T01:32:29.5342406Z             #pragma GCC ivdep
2022-11-23T01:32:29.5342498Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:29.5342568Z             {
2022-11-23T01:32:29.5342663Z                 #pragma GCC ivdep
2022-11-23T01:32:29.5342779Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:29.5342884Z                 {
2022-11-23T01:32:29.5342976Z                     {
2022-11-23T01:32:29.5343057Z                         {
2022-11-23T01:32:29.5343217Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343349Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343481Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343603Z                             auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343720Z                             auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343842Z                             auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5343988Z                             auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5344147Z                             auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5344300Z                             auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:29.5344425Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:29.5344527Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:29.5344625Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:29.5344729Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:29.5344833Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:29.5344931Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:29.5345056Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:29.5345198Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:29.5345343Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:29.5345446Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:29.5345561Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18;
2022-11-23T01:32:29.5345639Z                         }
2022-11-23T01:32:29.5345705Z                     }
2022-11-23T01:32:29.5345777Z                 }
2022-11-23T01:32:29.5345848Z             }
2022-11-23T01:32:29.5345937Z         }
2022-11-23T01:32:29.5346034Z     }
2022-11-23T01:32:29.5346128Z }
2022-11-23T01:32:29.5346228Z ''')
2022-11-23T01:32:29.5346234Z 
2022-11-23T01:32:29.5346242Z 
2022-11-23T01:32:29.5346332Z async_compile.wait(globals())
2022-11-23T01:32:29.5346410Z del async_compile
2022-11-23T01:32:29.5346416Z 
2022-11-23T01:32:29.5346492Z def call(args):
2022-11-23T01:32:29.5346571Z     arg0_1, = args
2022-11-23T01:32:29.5346650Z     args.clear()
2022-11-23T01:32:29.5346924Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5347087Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5347164Z     del arg0_1
2022-11-23T01:32:29.5347233Z     return (buf0, )
2022-11-23T01:32:29.5347238Z 
2022-11-23T01:32:29.5347243Z 
2022-11-23T01:32:29.5347325Z if __name__ == "__main__":
2022-11-23T01:32:29.5347448Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5347578Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5347874Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5348045Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5348051Z 
2022-11-23T01:32:29.5348125Z ok (1.667s)
2022-11-23T01:32:29.5348439Z   test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5348851Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5349079Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5349333Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5349679Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5350008Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5350478Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5350856Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5351230Z [2022-11-23 01:22:11,420] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029> 
2022-11-23T01:32:29.5351351Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5351476Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:29.5351584Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5351700Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5351827Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5351960Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5352062Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5352168Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5352262Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5352347Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5352444Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5352536Z               22 BUILD_LIST               2
2022-11-23T01:32:29.5352644Z               24 CALL_METHOD              4
2022-11-23T01:32:29.5352760Z               26 RETURN_VALUE
2022-11-23T01:32:29.5352850Z  
2022-11-23T01:32:29.5352857Z 
2022-11-23T01:32:29.5353182Z [2022-11-23 01:22:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030
2022-11-23T01:32:29.5353407Z [2022-11-23 01:22:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5353779Z [2022-11-23 01:22:11,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5354050Z [2022-11-23 01:22:11,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5354338Z [2022-11-23 01:22:11,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5354755Z [2022-11-23 01:22:11,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5355115Z [2022-11-23 01:22:11,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5355526Z [2022-11-23 01:22:11,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5355890Z [2022-11-23 01:22:11,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5356368Z [2022-11-23 01:22:11,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5356732Z [2022-11-23 01:22:11,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5357108Z [2022-11-23 01:22:11,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5357587Z [2022-11-23 01:22:11,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5357950Z [2022-11-23 01:22:11,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5358275Z [2022-11-23 01:22:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5358652Z [2022-11-23 01:22:11,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029>
2022-11-23T01:32:29.5358912Z [2022-11-23 01:22:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5359216Z [2022-11-23 01:22:11,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5359477Z [2022-11-23 01:22:11,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5359726Z [2022-11-23 01:22:11,432] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5359949Z [2022-11-23 01:22:11,433] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5360144Z  __compiled_fn_27 <eval_with_key>.176 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5360245Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5360387Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:29.5360491Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5360507Z 
2022-11-23T01:32:29.5360839Z [2022-11-23 01:22:11,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5360977Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5361100Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5361202Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5361320Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5361428Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5361536Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5361610Z              12 RETURN_VALUE
2022-11-23T01:32:29.5361615Z 
2022-11-23T01:32:29.5361690Z  
2022-11-23T01:32:29.5362082Z [2022-11-23 01:22:11,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5362199Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_27)
2022-11-23T01:32:29.5362296Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5362395Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5362478Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5362640Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5362768Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5362863Z              12 RETURN_VALUE
2022-11-23T01:32:29.5362869Z 
2022-11-23T01:32:29.5362962Z  
2022-11-23T01:32:29.5363157Z [2022-11-23 01:22:11,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5363233Z  - 
2022-11-23T01:32:29.5363359Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5363430Z             {
2022-11-23T01:32:29.5363617Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5363837Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5363962Z                 'obj_weakref': None
2022-11-23T01:32:29.5364188Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5364259Z             }
2022-11-23T01:32:29.5364330Z             
2022-11-23T01:32:29.5364428Z  - 
2022-11-23T01:32:29.5364600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5364674Z             {
2022-11-23T01:32:29.5364824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5364937Z                 'code': None,
2022-11-23T01:32:29.5365153Z                 'obj_weakref': <weakref at 0x7f20682961b0; to 'Tensor' at 0x7f2154fceac0>
2022-11-23T01:32:29.5365451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5365543Z             }
2022-11-23T01:32:29.5365605Z             
2022-11-23T01:32:29.5365685Z  - 
2022-11-23T01:32:29.5365822Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5365891Z             {
2022-11-23T01:32:29.5366037Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5366232Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5366404Z                 'obj_weakref': None
2022-11-23T01:32:29.5366646Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5366722Z             }
2022-11-23T01:32:29.5366790Z             
2022-11-23T01:32:29.5366863Z  - 
2022-11-23T01:32:29.5366991Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5367063Z             {
2022-11-23T01:32:29.5367254Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5367502Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5367627Z                 'obj_weakref': None
2022-11-23T01:32:29.5367852Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5367920Z             }
2022-11-23T01:32:29.5367994Z             
2022-11-23T01:32:29.5368098Z  - 
2022-11-23T01:32:29.5368272Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5368335Z             {
2022-11-23T01:32:29.5368462Z                 'guard_types': None,
2022-11-23T01:32:29.5368577Z                 'code': None,
2022-11-23T01:32:29.5368704Z                 'obj_weakref': None
2022-11-23T01:32:29.5368832Z                 'guarded_class': None
2022-11-23T01:32:29.5368921Z             }
2022-11-23T01:32:29.5369017Z             
2022-11-23T01:32:29.5369304Z [2022-11-23 01:22:11,437] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26
2022-11-23T01:32:29.5369668Z [2022-11-23 01:22:13,103] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx6wagftipinq5xtglirwqdnc4mng66au2dpzu3j7s2gvs7xgmi6.py
2022-11-23T01:32:29.5369977Z [2022-11-23 01:22:13,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26
2022-11-23T01:32:29.5369986Z 
2022-11-23T01:32:29.5370110Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5370186Z import torch
2022-11-23T01:32:29.5370261Z import random
2022-11-23T01:32:29.5370412Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5370579Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5370650Z 
2022-11-23T01:32:29.5370759Z aten = torch.ops.aten
2022-11-23T01:32:29.5370946Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5371080Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5371126Z 
2022-11-23T01:32:29.5371203Z import triton
2022-11-23T01:32:29.5371296Z import triton.language as tl
2022-11-23T01:32:29.5371425Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5371569Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5371574Z 
2022-11-23T01:32:29.5371579Z 
2022-11-23T01:32:29.5371738Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5371999Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5372130Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5372237Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5372303Z {
2022-11-23T01:32:29.5372412Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5372480Z     {
2022-11-23T01:32:29.5372561Z         #pragma omp for 
2022-11-23T01:32:29.5372656Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.5372753Z         {
2022-11-23T01:32:29.5372874Z             #pragma GCC ivdep
2022-11-23T01:32:29.5372989Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.5373080Z             {
2022-11-23T01:32:29.5373151Z                 {
2022-11-23T01:32:29.5373222Z                     {
2022-11-23T01:32:29.5373454Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:29.5373575Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.5373710Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.5373852Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:29.5373955Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.5374054Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:29.5374238Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:29.5374346Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:29.5374466Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:29.5374608Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:29.5374721Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:29.5374816Z                         float tmp11 = 0.0;
2022-11-23T01:32:29.5374900Z                         if(tmp10)
2022-11-23T01:32:29.5374979Z                         {
2022-11-23T01:32:29.5375166Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5375249Z                             tmp11 = tmp12;
2022-11-23T01:32:29.5375339Z                         }
2022-11-23T01:32:29.5375498Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:29.5375610Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:29.5375738Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:29.5375863Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:29.5375964Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:29.5376052Z                         float tmp18 = 0.0;
2022-11-23T01:32:29.5376134Z                         if(tmp17)
2022-11-23T01:32:29.5376229Z                         {
2022-11-23T01:32:29.5376462Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5376553Z                             tmp18 = tmp19;
2022-11-23T01:32:29.5376626Z                         }
2022-11-23T01:32:29.5376729Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:29.5376877Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:29.5376996Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:29.5377119Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:29.5377260Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:29.5377436Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:29.5377532Z                         float tmp26 = 0.0;
2022-11-23T01:32:29.5377613Z                         if(tmp25)
2022-11-23T01:32:29.5377714Z                         {
2022-11-23T01:32:29.5377946Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5378060Z                             tmp26 = tmp27;
2022-11-23T01:32:29.5378163Z                         }
2022-11-23T01:32:29.5378282Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:29.5378396Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:29.5378496Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:29.5378599Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:29.5378720Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:29.5379028Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:29.5379155Z                         float tmp34 = 0.0;
2022-11-23T01:32:29.5379240Z                         if(tmp33)
2022-11-23T01:32:29.5379315Z                         {
2022-11-23T01:32:29.5379502Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5379609Z                             tmp34 = tmp35;
2022-11-23T01:32:29.5379695Z                         }
2022-11-23T01:32:29.5379839Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:29.5379969Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:29.5380063Z                         float tmp38 = 0.0;
2022-11-23T01:32:29.5380146Z                         if(tmp37)
2022-11-23T01:32:29.5380248Z                         {
2022-11-23T01:32:29.5380388Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:29.5380470Z                             tmp38 = tmp39;
2022-11-23T01:32:29.5380543Z                         }
2022-11-23T01:32:29.5380672Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:29.5380807Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:29.5380928Z                         float tmp42 = 0.0;
2022-11-23T01:32:29.5381015Z                         if(tmp41)
2022-11-23T01:32:29.5381089Z                         {
2022-11-23T01:32:29.5381198Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5381288Z                             tmp42 = tmp43;
2022-11-23T01:32:29.5381365Z                         }
2022-11-23T01:32:29.5381466Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:29.5381607Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:29.5381741Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:29.5381884Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:29.5381978Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:29.5382077Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:29.5382172Z                         float tmp50 = 0.0;
2022-11-23T01:32:29.5382257Z                         if(tmp49)
2022-11-23T01:32:29.5382332Z                         {
2022-11-23T01:32:29.5382451Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5382554Z                             tmp50 = tmp51;
2022-11-23T01:32:29.5382659Z                         }
2022-11-23T01:32:29.5382789Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:29.5382902Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:29.5382996Z                         float tmp54 = 0.0;
2022-11-23T01:32:29.5383077Z                         if(tmp53)
2022-11-23T01:32:29.5383152Z                         {
2022-11-23T01:32:29.5383268Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5383357Z                             tmp54 = tmp55;
2022-11-23T01:32:29.5383423Z                         }
2022-11-23T01:32:29.5383632Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:29.5383781Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:29.5383890Z                         float tmp58 = 0.0;
2022-11-23T01:32:29.5384013Z                         if(tmp57)
2022-11-23T01:32:29.5384086Z                         {
2022-11-23T01:32:29.5384215Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5384328Z                             tmp58 = tmp59;
2022-11-23T01:32:29.5384404Z                         }
2022-11-23T01:32:29.5384522Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:29.5384699Z                         auto tmp61 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:29.5384810Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:32:29.5384914Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:32:29.5384989Z                     }
2022-11-23T01:32:29.5385052Z                 }
2022-11-23T01:32:29.5385126Z             }
2022-11-23T01:32:29.5385195Z         }
2022-11-23T01:32:29.5385260Z     }
2022-11-23T01:32:29.5385325Z }
2022-11-23T01:32:29.5385446Z ''')
2022-11-23T01:32:29.5385455Z 
2022-11-23T01:32:29.5385466Z 
2022-11-23T01:32:29.5385604Z async_compile.wait(globals())
2022-11-23T01:32:29.5385694Z del async_compile
2022-11-23T01:32:29.5385700Z 
2022-11-23T01:32:29.5385777Z def call(args):
2022-11-23T01:32:29.5385852Z     arg0_1, = args
2022-11-23T01:32:29.5385931Z     args.clear()
2022-11-23T01:32:29.5386152Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5386311Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5386417Z     del arg0_1
2022-11-23T01:32:29.5386509Z     return (buf0, )
2022-11-23T01:32:29.5386524Z 
2022-11-23T01:32:29.5386529Z 
2022-11-23T01:32:29.5386604Z if __name__ == "__main__":
2022-11-23T01:32:29.5386726Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5386900Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5387130Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5387286Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5387295Z 
2022-11-23T01:32:29.5387391Z ok (1.687s)
2022-11-23T01:32:29.5387734Z   test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:13,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5388093Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5388381Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5388645Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5388982Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5389368Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5389749Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5390162Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5390634Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038> 
2022-11-23T01:32:29.5390744Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5390928Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:29.5391044Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5391147Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5391269Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5391426Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5391554Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5391821Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5391952Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5392083Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5392176Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5392271Z               22 BUILD_LIST               2
2022-11-23T01:32:29.5392373Z               24 LOAD_CONST               4 (True)
2022-11-23T01:32:29.5392478Z               26 CALL_METHOD              5
2022-11-23T01:32:29.5392594Z               28 RETURN_VALUE
2022-11-23T01:32:29.5392666Z  
2022-11-23T01:32:29.5392677Z 
2022-11-23T01:32:29.5393084Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039
2022-11-23T01:32:29.5393318Z [2022-11-23 01:22:13,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5393624Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5393980Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5394280Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5394605Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5395068Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5395388Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5395757Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5396222Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5396585Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5397024Z [2022-11-23 01:22:13,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5397486Z [2022-11-23 01:22:13,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5397950Z [2022-11-23 01:22:13,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5398356Z [2022-11-23 01:22:13,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.5398727Z [2022-11-23 01:22:13,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5399149Z [2022-11-23 01:22:13,119] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038>
2022-11-23T01:32:29.5399503Z [2022-11-23 01:22:13,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5399748Z [2022-11-23 01:22:13,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5400005Z [2022-11-23 01:22:13,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5400334Z [2022-11-23 01:22:13,122] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5400537Z [2022-11-23 01:22:13,122] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5400679Z  __compiled_fn_28 <eval_with_key>.182 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5400780Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5400928Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T01:32:29.5401059Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5401085Z 
2022-11-23T01:32:29.5401486Z [2022-11-23 01:22:13,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5401592Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5401689Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5401782Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5401897Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5402025Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5402137Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5402214Z              12 RETURN_VALUE
2022-11-23T01:32:29.5402219Z 
2022-11-23T01:32:29.5402287Z  
2022-11-23T01:32:29.5402664Z [2022-11-23 01:22:13,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5402807Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_28)
2022-11-23T01:32:29.5402943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5403047Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5403130Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5403223Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5403336Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5403454Z              12 RETURN_VALUE
2022-11-23T01:32:29.5403460Z 
2022-11-23T01:32:29.5403526Z  
2022-11-23T01:32:29.5403766Z [2022-11-23 01:22:13,123] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5403868Z  - 
2022-11-23T01:32:29.5403995Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5404090Z             {
2022-11-23T01:32:29.5404256Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5404449Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5404613Z                 'obj_weakref': None
2022-11-23T01:32:29.5404893Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5404967Z             }
2022-11-23T01:32:29.5405037Z             
2022-11-23T01:32:29.5405116Z  - 
2022-11-23T01:32:29.5405238Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5405310Z             {
2022-11-23T01:32:29.5405484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5405645Z                 'code': None,
2022-11-23T01:32:29.5405895Z                 'obj_weakref': <weakref at 0x7f20682fd490; to 'Tensor' at 0x7f21279e6ed0>
2022-11-23T01:32:29.5406146Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5406216Z             }
2022-11-23T01:32:29.5406327Z             
2022-11-23T01:32:29.5406418Z  - 
2022-11-23T01:32:29.5406610Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5406705Z             {
2022-11-23T01:32:29.5406851Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5407074Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5407200Z                 'obj_weakref': None
2022-11-23T01:32:29.5407476Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5407576Z             }
2022-11-23T01:32:29.5407648Z             
2022-11-23T01:32:29.5407727Z  - 
2022-11-23T01:32:29.5407852Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5407922Z             {
2022-11-23T01:32:29.5408079Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5408372Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5408504Z                 'obj_weakref': None
2022-11-23T01:32:29.5408729Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5408796Z             }
2022-11-23T01:32:29.5408866Z             
2022-11-23T01:32:29.5408955Z  - 
2022-11-23T01:32:29.5409142Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5409231Z             {
2022-11-23T01:32:29.5409381Z                 'guard_types': None,
2022-11-23T01:32:29.5409494Z                 'code': None,
2022-11-23T01:32:29.5409647Z                 'obj_weakref': None
2022-11-23T01:32:29.5409819Z                 'guarded_class': None
2022-11-23T01:32:29.5409915Z             }
2022-11-23T01:32:29.5410012Z             
2022-11-23T01:32:29.5410352Z [2022-11-23 01:22:13,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27
2022-11-23T01:32:29.5410864Z [2022-11-23 01:22:14,805] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jx/cjx6zyqkh7amyez6dydzybgtwkpuxo2m5cnkuasgszs53xppamfx.py
2022-11-23T01:32:29.5411196Z [2022-11-23 01:22:14,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27
2022-11-23T01:32:29.5411206Z 
2022-11-23T01:32:29.5411338Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5411415Z import torch
2022-11-23T01:32:29.5411490Z import random
2022-11-23T01:32:29.5411628Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5411801Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5411810Z 
2022-11-23T01:32:29.5411893Z aten = torch.ops.aten
2022-11-23T01:32:29.5412033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5412132Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5412137Z 
2022-11-23T01:32:29.5412231Z import triton
2022-11-23T01:32:29.5412360Z import triton.language as tl
2022-11-23T01:32:29.5412504Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5412706Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5412714Z 
2022-11-23T01:32:29.5412720Z 
2022-11-23T01:32:29.5412872Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5413114Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5413250Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5413366Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5413454Z {
2022-11-23T01:32:29.5413605Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5413699Z     {
2022-11-23T01:32:29.5413785Z         #pragma omp for 
2022-11-23T01:32:29.5413866Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.5413940Z         {
2022-11-23T01:32:29.5414026Z             #pragma GCC ivdep
2022-11-23T01:32:29.5414120Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:32:29.5414190Z             {
2022-11-23T01:32:29.5414278Z                 #pragma GCC ivdep
2022-11-23T01:32:29.5414458Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:32:29.5414552Z                 {
2022-11-23T01:32:29.5414656Z                     {
2022-11-23T01:32:29.5414735Z                         {
2022-11-23T01:32:29.5414864Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415041Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415181Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415313Z                             auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415476Z                             auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415611Z                             auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415760Z                             auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5415909Z                             auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5416035Z                             auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:29.5416140Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:29.5416270Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:29.5416405Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:29.5416512Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:29.5416608Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:29.5416716Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:29.5416826Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:29.5416956Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:29.5417122Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:29.5417268Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:29.5417389Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18;
2022-11-23T01:32:29.5417457Z                         }
2022-11-23T01:32:29.5417532Z                     }
2022-11-23T01:32:29.5417607Z                 }
2022-11-23T01:32:29.5417676Z             }
2022-11-23T01:32:29.5417746Z         }
2022-11-23T01:32:29.5417813Z     }
2022-11-23T01:32:29.5417878Z }
2022-11-23T01:32:29.5417986Z ''')
2022-11-23T01:32:29.5417994Z 
2022-11-23T01:32:29.5417999Z 
2022-11-23T01:32:29.5418134Z async_compile.wait(globals())
2022-11-23T01:32:29.5418250Z del async_compile
2022-11-23T01:32:29.5418258Z 
2022-11-23T01:32:29.5418353Z def call(args):
2022-11-23T01:32:29.5418430Z     arg0_1, = args
2022-11-23T01:32:29.5418508Z     args.clear()
2022-11-23T01:32:29.5418743Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5419027Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5419141Z     del arg0_1
2022-11-23T01:32:29.5419255Z     return (buf0, )
2022-11-23T01:32:29.5419263Z 
2022-11-23T01:32:29.5419270Z 
2022-11-23T01:32:29.5419363Z if __name__ == "__main__":
2022-11-23T01:32:29.5419495Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5419660Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5419955Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5420115Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5420123Z 
2022-11-23T01:32:29.5420203Z ok (1.706s)
2022-11-23T01:32:29.5420541Z   test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5420891Z [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5421253Z [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5421605Z [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5422004Z [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5422374Z [2022-11-23 01:22:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5422790Z [2022-11-23 01:22:14,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5423117Z [2022-11-23 01:22:14,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5423538Z [2022-11-23 01:22:14,815] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047> 
2022-11-23T01:32:29.5423645Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5423748Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:29.5423845Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5423942Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5424038Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5424134Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5424233Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5424328Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5424418Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5424549Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5424650Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5424779Z               22 BUILD_LIST               2
2022-11-23T01:32:29.5424905Z               24 LOAD_CONST               4 (False)
2022-11-23T01:32:29.5425094Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T01:32:29.5425198Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:29.5425273Z               30 RETURN_VALUE
2022-11-23T01:32:29.5425342Z  
2022-11-23T01:32:29.5425348Z 
2022-11-23T01:32:29.5425707Z [2022-11-23 01:22:14,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048
2022-11-23T01:32:29.5425935Z [2022-11-23 01:22:14,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5426253Z [2022-11-23 01:22:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5426551Z [2022-11-23 01:22:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5426876Z [2022-11-23 01:22:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5427276Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5427684Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5428015Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5428404Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5428887Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5429359Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5429733Z [2022-11-23 01:22:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5430183Z [2022-11-23 01:22:14,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5430661Z [2022-11-23 01:22:14,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5431103Z [2022-11-23 01:22:14,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.5431610Z [2022-11-23 01:22:14,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:29.5431903Z [2022-11-23 01:22:14,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5432355Z [2022-11-23 01:22:14,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047>
2022-11-23T01:32:29.5432610Z [2022-11-23 01:22:14,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5432848Z [2022-11-23 01:22:14,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5433103Z [2022-11-23 01:22:14,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5433401Z [2022-11-23 01:22:14,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5433657Z [2022-11-23 01:22:14,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5433811Z  __compiled_fn_29 <eval_with_key>.188 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5433909Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5434153Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T01:32:29.5434288Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5434296Z 
2022-11-23T01:32:29.5434697Z [2022-11-23 01:22:14,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5434803Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5434906Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5434992Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5435107Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5435231Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5435333Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5435416Z              12 RETURN_VALUE
2022-11-23T01:32:29.5435422Z 
2022-11-23T01:32:29.5435488Z  
2022-11-23T01:32:29.5435885Z [2022-11-23 01:22:14,830] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5436004Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_29)
2022-11-23T01:32:29.5436182Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5436290Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5436374Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5436470Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5436603Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5436716Z              12 RETURN_VALUE
2022-11-23T01:32:29.5436723Z 
2022-11-23T01:32:29.5436801Z  
2022-11-23T01:32:29.5436990Z [2022-11-23 01:22:14,831] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5437067Z  - 
2022-11-23T01:32:29.5437193Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5437267Z             {
2022-11-23T01:32:29.5437412Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5437607Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5437778Z                 'obj_weakref': None
2022-11-23T01:32:29.5438011Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5438075Z             }
2022-11-23T01:32:29.5438143Z             
2022-11-23T01:32:29.5438219Z  - 
2022-11-23T01:32:29.5438350Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5438428Z             {
2022-11-23T01:32:29.5438576Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5438681Z                 'code': None,
2022-11-23T01:32:29.5438900Z                 'obj_weakref': <weakref at 0x7f20681763e0; to 'Tensor' at 0x7f20726e50d0>
2022-11-23T01:32:29.5439191Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5439264Z             }
2022-11-23T01:32:29.5439335Z             
2022-11-23T01:32:29.5439410Z  - 
2022-11-23T01:32:29.5439549Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5439611Z             {
2022-11-23T01:32:29.5439763Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5439983Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5440110Z                 'obj_weakref': None
2022-11-23T01:32:29.5440342Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5440416Z             }
2022-11-23T01:32:29.5440505Z             
2022-11-23T01:32:29.5440610Z  - 
2022-11-23T01:32:29.5440732Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5440801Z             {
2022-11-23T01:32:29.5440946Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5441168Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5441292Z                 'obj_weakref': None
2022-11-23T01:32:29.5441561Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5441633Z             }
2022-11-23T01:32:29.5441693Z             
2022-11-23T01:32:29.5441769Z  - 
2022-11-23T01:32:29.5441913Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5441983Z             {
2022-11-23T01:32:29.5442152Z                 'guard_types': None,
2022-11-23T01:32:29.5442266Z                 'code': None,
2022-11-23T01:32:29.5442381Z                 'obj_weakref': None
2022-11-23T01:32:29.5442516Z                 'guarded_class': None
2022-11-23T01:32:29.5442585Z             }
2022-11-23T01:32:29.5442655Z             
2022-11-23T01:32:29.5442914Z [2022-11-23 01:22:14,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28
2022-11-23T01:32:29.5442921Z 
2022-11-23T01:32:29.5443020Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5443094Z import torch
2022-11-23T01:32:29.5443183Z import random
2022-11-23T01:32:29.5443334Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5443464Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5443470Z 
2022-11-23T01:32:29.5443555Z aten = torch.ops.aten
2022-11-23T01:32:29.5443747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5443851Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5443856Z 
2022-11-23T01:32:29.5443932Z import triton
2022-11-23T01:32:29.5444026Z import triton.language as tl
2022-11-23T01:32:29.5444172Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5444352Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5444360Z 
2022-11-23T01:32:29.5444366Z 
2022-11-23T01:32:29.5444519Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5444731Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5444860Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5444969Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5445037Z {
2022-11-23T01:32:29.5445145Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5445204Z     {
2022-11-23T01:32:29.5445288Z         #pragma omp for 
2022-11-23T01:32:29.5445402Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.5445494Z         {
2022-11-23T01:32:29.5445581Z             #pragma GCC ivdep
2022-11-23T01:32:29.5445675Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.5445748Z             {
2022-11-23T01:32:29.5445811Z                 {
2022-11-23T01:32:29.5445884Z                     {
2022-11-23T01:32:29.5446068Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:29.5446209Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.5446325Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.5446436Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:29.5446538Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.5446631Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:29.5446845Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:29.5446960Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:29.5447059Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:29.5447162Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:29.5447260Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:29.5447358Z                         float tmp11 = 0.0;
2022-11-23T01:32:29.5447434Z                         if(tmp10)
2022-11-23T01:32:29.5447510Z                         {
2022-11-23T01:32:29.5447697Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5447820Z                             tmp11 = tmp12;
2022-11-23T01:32:29.5447902Z                         }
2022-11-23T01:32:29.5448019Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:29.5448122Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:29.5448225Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:29.5448317Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:29.5448454Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:29.5448557Z                         float tmp18 = 0.0;
2022-11-23T01:32:29.5448639Z                         if(tmp17)
2022-11-23T01:32:29.5448718Z                         {
2022-11-23T01:32:29.5448898Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5448988Z                             tmp18 = tmp19;
2022-11-23T01:32:29.5449054Z                         }
2022-11-23T01:32:29.5449186Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:29.5449351Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:29.5449483Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:29.5449587Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:29.5449687Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:29.5449786Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:29.5449913Z                         float tmp26 = 0.0;
2022-11-23T01:32:29.5450001Z                         if(tmp25)
2022-11-23T01:32:29.5450074Z                         {
2022-11-23T01:32:29.5450275Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5450431Z                             tmp26 = tmp27;
2022-11-23T01:32:29.5450541Z                         }
2022-11-23T01:32:29.5450676Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:29.5450822Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:29.5450960Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:29.5451101Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:29.5451241Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:29.5451379Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:29.5451475Z                         float tmp34 = 0.0;
2022-11-23T01:32:29.5451559Z                         if(tmp33)
2022-11-23T01:32:29.5451659Z                         {
2022-11-23T01:32:29.5451915Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5452011Z                             tmp34 = tmp35;
2022-11-23T01:32:29.5452094Z                         }
2022-11-23T01:32:29.5452193Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:29.5452294Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:29.5452389Z                         float tmp38 = 0.0;
2022-11-23T01:32:29.5452474Z                         if(tmp37)
2022-11-23T01:32:29.5452541Z                         {
2022-11-23T01:32:29.5452669Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:29.5452797Z                             tmp38 = tmp39;
2022-11-23T01:32:29.5452893Z                         }
2022-11-23T01:32:29.5452996Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:29.5453096Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:29.5453193Z                         float tmp42 = 0.0;
2022-11-23T01:32:29.5453268Z                         if(tmp41)
2022-11-23T01:32:29.5453344Z                         {
2022-11-23T01:32:29.5453493Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5453617Z                             tmp42 = tmp43;
2022-11-23T01:32:29.5453695Z                         }
2022-11-23T01:32:29.5453796Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:29.5453916Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:29.5454011Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:29.5454120Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:29.5454257Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:29.5454374Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:29.5454469Z                         float tmp50 = 0.0;
2022-11-23T01:32:29.5454558Z                         if(tmp49)
2022-11-23T01:32:29.5454636Z                         {
2022-11-23T01:32:29.5454743Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5454835Z                             tmp50 = tmp51;
2022-11-23T01:32:29.5454934Z                         }
2022-11-23T01:32:29.5455072Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:29.5455176Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:29.5455271Z                         float tmp54 = 0.0;
2022-11-23T01:32:29.5455356Z                         if(tmp53)
2022-11-23T01:32:29.5455431Z                         {
2022-11-23T01:32:29.5455542Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5455657Z                             tmp54 = tmp55;
2022-11-23T01:32:29.5455763Z                         }
2022-11-23T01:32:29.5455872Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:29.5456028Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:29.5456124Z                         float tmp58 = 0.0;
2022-11-23T01:32:29.5456206Z                         if(tmp57)
2022-11-23T01:32:29.5456274Z                         {
2022-11-23T01:32:29.5456454Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5456577Z                             tmp58 = tmp59;
2022-11-23T01:32:29.5456653Z                         }
2022-11-23T01:32:29.5456755Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:29.5456849Z                         float tmp61 = 0.0;
2022-11-23T01:32:29.5456934Z                         if(tmp10)
2022-11-23T01:32:29.5457001Z                         {
2022-11-23T01:32:29.5457118Z                             auto tmp62 = static_cast<float>(1);
2022-11-23T01:32:29.5457208Z                             tmp61 = tmp62;
2022-11-23T01:32:29.5457285Z                         }
2022-11-23T01:32:29.5457396Z                         float tmp63 = 0.0;
2022-11-23T01:32:29.5457516Z                         if(tmp17)
2022-11-23T01:32:29.5457608Z                         {
2022-11-23T01:32:29.5457718Z                             auto tmp64 = static_cast<float>(1);
2022-11-23T01:32:29.5457816Z                             tmp63 = tmp64;
2022-11-23T01:32:29.5457893Z                         }
2022-11-23T01:32:29.5457994Z                         auto tmp65 = tmp63 + tmp61;
2022-11-23T01:32:29.5458087Z                         float tmp66 = 0.0;
2022-11-23T01:32:29.5458171Z                         if(tmp25)
2022-11-23T01:32:29.5458248Z                         {
2022-11-23T01:32:29.5458357Z                             auto tmp67 = static_cast<float>(1);
2022-11-23T01:32:29.5458447Z                             tmp66 = tmp67;
2022-11-23T01:32:29.5458533Z                         }
2022-11-23T01:32:29.5458670Z                         auto tmp68 = tmp66 + tmp65;
2022-11-23T01:32:29.5458783Z                         float tmp69 = 0.0;
2022-11-23T01:32:29.5459019Z                         if(tmp33)
2022-11-23T01:32:29.5459096Z                         {
2022-11-23T01:32:29.5459204Z                             auto tmp70 = static_cast<float>(1);
2022-11-23T01:32:29.5459294Z                             tmp69 = tmp70;
2022-11-23T01:32:29.5459373Z                         }
2022-11-23T01:32:29.5459475Z                         auto tmp71 = tmp69 + tmp68;
2022-11-23T01:32:29.5459569Z                         float tmp72 = 0.0;
2022-11-23T01:32:29.5459656Z                         if(tmp37)
2022-11-23T01:32:29.5459739Z                         {
2022-11-23T01:32:29.5459878Z                             auto tmp73 = static_cast<float>(1);
2022-11-23T01:32:29.5459981Z                             tmp72 = tmp73;
2022-11-23T01:32:29.5460059Z                         }
2022-11-23T01:32:29.5460162Z                         auto tmp74 = tmp72 + tmp71;
2022-11-23T01:32:29.5460254Z                         float tmp75 = 0.0;
2022-11-23T01:32:29.5460340Z                         if(tmp41)
2022-11-23T01:32:29.5460416Z                         {
2022-11-23T01:32:29.5460527Z                             auto tmp76 = static_cast<float>(1);
2022-11-23T01:32:29.5460633Z                             tmp75 = tmp76;
2022-11-23T01:32:29.5460738Z                         }
2022-11-23T01:32:29.5460842Z                         auto tmp77 = tmp75 + tmp74;
2022-11-23T01:32:29.5460934Z                         float tmp78 = 0.0;
2022-11-23T01:32:29.5461018Z                         if(tmp49)
2022-11-23T01:32:29.5461095Z                         {
2022-11-23T01:32:29.5461223Z                             auto tmp79 = static_cast<float>(1);
2022-11-23T01:32:29.5461332Z                             tmp78 = tmp79;
2022-11-23T01:32:29.5461408Z                         }
2022-11-23T01:32:29.5461509Z                         auto tmp80 = tmp78 + tmp77;
2022-11-23T01:32:29.5461602Z                         float tmp81 = 0.0;
2022-11-23T01:32:29.5461687Z                         if(tmp53)
2022-11-23T01:32:29.5461764Z                         {
2022-11-23T01:32:29.5461937Z                             auto tmp82 = static_cast<float>(1);
2022-11-23T01:32:29.5462036Z                             tmp81 = tmp82;
2022-11-23T01:32:29.5462132Z                         }
2022-11-23T01:32:29.5462294Z                         auto tmp83 = tmp81 + tmp80;
2022-11-23T01:32:29.5462385Z                         float tmp84 = 0.0;
2022-11-23T01:32:29.5462467Z                         if(tmp57)
2022-11-23T01:32:29.5462542Z                         {
2022-11-23T01:32:29.5462647Z                             auto tmp85 = static_cast<float>(1);
2022-11-23T01:32:29.5462745Z                             tmp84 = tmp85;
2022-11-23T01:32:29.5462850Z                         }
2022-11-23T01:32:29.5462957Z                         auto tmp86 = tmp84 + tmp83;
2022-11-23T01:32:29.5463057Z                         auto tmp87 = tmp60 / tmp86;
2022-11-23T01:32:29.5463163Z                         out_ptr0[i1 + (4*i0)] = tmp87;
2022-11-23T01:32:29.5463236Z                     }
2022-11-23T01:32:29.5463308Z                 }
2022-11-23T01:32:29.5463374Z             }
2022-11-23T01:32:29.5463447Z         }
2022-11-23T01:32:29.5463515Z     }
2022-11-23T01:32:29.5463583Z }
2022-11-23T01:32:29.5463713Z ''')
2022-11-23T01:32:29.5463722Z 
2022-11-23T01:32:29.5463734Z 
2022-11-23T01:32:29.5463845Z async_compile.wait(globals())
2022-11-23T01:32:29.5463924Z del async_compile
2022-11-23T01:32:29.5463929Z 
2022-11-23T01:32:29.5463997Z def call(args):
2022-11-23T01:32:29.5464074Z     arg0_1, = args
2022-11-23T01:32:29.5464151Z     args.clear()
2022-11-23T01:32:29.5464374Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5464522Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5464594Z     del arg0_1
2022-11-23T01:32:29.5464668Z     return (buf0, )
2022-11-23T01:32:29.5464673Z 
2022-11-23T01:32:29.5464678Z 
2022-11-23T01:32:29.5464773Z if __name__ == "__main__":
2022-11-23T01:32:29.5464926Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5465061Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5465282Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5465404Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5465774Z [2022-11-23 01:22:16,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cm/ccmyxiqjq6hatvc5qbe6jlcovzfxy4i4xy6fo2bc3h56tp6sjkb6.py
2022-11-23T01:32:29.5466090Z [2022-11-23 01:22:16,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28
2022-11-23T01:32:29.5466097Z 
2022-11-23T01:32:29.5466172Z ok (1.718s)
2022-11-23T01:32:29.5466486Z   test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5466796Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5467069Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5467333Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5467668Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5467989Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5468335Z [2022-11-23 01:22:16,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5468707Z [2022-11-23 01:22:16,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5469163Z [2022-11-23 01:22:16,533] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056> 
2022-11-23T01:32:29.5469290Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5469400Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:29.5469491Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5469587Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5469687Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5469786Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5469898Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5470027Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.5470128Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5470214Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5470440Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:29.5470536Z               22 BUILD_LIST               2
2022-11-23T01:32:29.5470630Z               24 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5470814Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T01:32:29.5470916Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:29.5470998Z               30 RETURN_VALUE
2022-11-23T01:32:29.5471056Z  
2022-11-23T01:32:29.5471075Z 
2022-11-23T01:32:29.5471423Z [2022-11-23 01:22:16,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057
2022-11-23T01:32:29.5471675Z [2022-11-23 01:22:16,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5472060Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5472335Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5472667Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5472995Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5473392Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5473704Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5474079Z [2022-11-23 01:22:16,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5474463Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5474837Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5475195Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5475632Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5476118Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5476607Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5477194Z [2022-11-23 01:22:16,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.5477491Z [2022-11-23 01:22:16,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5477869Z [2022-11-23 01:22:16,541] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056>
2022-11-23T01:32:29.5478123Z [2022-11-23 01:22:16,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5478400Z [2022-11-23 01:22:16,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5478689Z [2022-11-23 01:22:16,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5478941Z [2022-11-23 01:22:16,544] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5479138Z [2022-11-23 01:22:16,545] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5479272Z  __compiled_fn_30 <eval_with_key>.194 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5479369Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5479633Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T01:32:29.5479792Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5479799Z 
2022-11-23T01:32:29.5480150Z [2022-11-23 01:22:16,545] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5480291Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5480401Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5480494Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5480587Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5480682Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5480780Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5480861Z              12 RETURN_VALUE
2022-11-23T01:32:29.5480867Z 
2022-11-23T01:32:29.5480933Z  
2022-11-23T01:32:29.5481342Z [2022-11-23 01:22:16,545] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5481486Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_30)
2022-11-23T01:32:29.5481591Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5481681Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5481765Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5481879Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5482023Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5482109Z              12 RETURN_VALUE
2022-11-23T01:32:29.5482115Z 
2022-11-23T01:32:29.5482182Z  
2022-11-23T01:32:29.5482379Z [2022-11-23 01:22:16,546] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5482447Z  - 
2022-11-23T01:32:29.5482574Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5482645Z             {
2022-11-23T01:32:29.5482840Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5483056Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5483185Z                 'obj_weakref': None
2022-11-23T01:32:29.5483465Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5483529Z             }
2022-11-23T01:32:29.5483599Z             
2022-11-23T01:32:29.5483680Z  - 
2022-11-23T01:32:29.5483810Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5483907Z             {
2022-11-23T01:32:29.5484111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5484246Z                 'code': None,
2022-11-23T01:32:29.5484450Z                 'obj_weakref': <weakref at 0x7f20606b8450; to 'Tensor' at 0x7f206826fe70>
2022-11-23T01:32:29.5484702Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5484771Z             }
2022-11-23T01:32:29.5484845Z             
2022-11-23T01:32:29.5484921Z  - 
2022-11-23T01:32:29.5485106Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5485191Z             {
2022-11-23T01:32:29.5485330Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5485517Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5485670Z                 'obj_weakref': None
2022-11-23T01:32:29.5485943Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5486017Z             }
2022-11-23T01:32:29.5486085Z             
2022-11-23T01:32:29.5486162Z  - 
2022-11-23T01:32:29.5486282Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5486354Z             {
2022-11-23T01:32:29.5486498Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5486783Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5486912Z                 'obj_weakref': None
2022-11-23T01:32:29.5487135Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5487226Z             }
2022-11-23T01:32:29.5487314Z             
2022-11-23T01:32:29.5487406Z  - 
2022-11-23T01:32:29.5487552Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5487621Z             {
2022-11-23T01:32:29.5487746Z                 'guard_types': None,
2022-11-23T01:32:29.5487861Z                 'code': None,
2022-11-23T01:32:29.5487987Z                 'obj_weakref': None
2022-11-23T01:32:29.5488107Z                 'guarded_class': None
2022-11-23T01:32:29.5488178Z             }
2022-11-23T01:32:29.5488246Z             
2022-11-23T01:32:29.5488572Z [2022-11-23 01:22:16,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29
2022-11-23T01:32:29.5488948Z [2022-11-23 01:22:18,272] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj5pepq27rqdmm6lhdfylmprlroxukiu4dourzeofajgqpea6c7x.py
2022-11-23T01:32:29.5489211Z [2022-11-23 01:22:18,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29
2022-11-23T01:32:29.5489217Z 
2022-11-23T01:32:29.5489318Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5489394Z import torch
2022-11-23T01:32:29.5489465Z import random
2022-11-23T01:32:29.5489590Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5489739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5489750Z 
2022-11-23T01:32:29.5489867Z aten = torch.ops.aten
2022-11-23T01:32:29.5490017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5490116Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5490121Z 
2022-11-23T01:32:29.5490195Z import triton
2022-11-23T01:32:29.5490289Z import triton.language as tl
2022-11-23T01:32:29.5490408Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5490574Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5490582Z 
2022-11-23T01:32:29.5490588Z 
2022-11-23T01:32:29.5490768Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5491002Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5491223Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5491336Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5491402Z {
2022-11-23T01:32:29.5491508Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5491591Z     {
2022-11-23T01:32:29.5491675Z         #pragma omp for 
2022-11-23T01:32:29.5491767Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.5491837Z         {
2022-11-23T01:32:29.5491927Z             #pragma GCC ivdep
2022-11-23T01:32:29.5492027Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.5492111Z             {
2022-11-23T01:32:29.5492211Z                 {
2022-11-23T01:32:29.5492290Z                     {
2022-11-23T01:32:29.5492474Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:29.5492592Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.5492722Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.5492870Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:29.5492973Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.5493065Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:29.5493271Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:29.5493418Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:29.5493557Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:29.5493697Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:29.5493835Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:29.5493970Z                         float tmp11 = 0.0;
2022-11-23T01:32:29.5494077Z                         if(tmp10)
2022-11-23T01:32:29.5494181Z                         {
2022-11-23T01:32:29.5494441Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5494564Z                             tmp11 = tmp12;
2022-11-23T01:32:29.5494676Z                         }
2022-11-23T01:32:29.5494844Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:29.5494989Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:29.5495114Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:29.5495256Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:29.5495390Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:29.5495515Z                         float tmp18 = 0.0;
2022-11-23T01:32:29.5495632Z                         if(tmp17)
2022-11-23T01:32:29.5495736Z                         {
2022-11-23T01:32:29.5496013Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5496131Z                             tmp18 = tmp19;
2022-11-23T01:32:29.5496231Z                         }
2022-11-23T01:32:29.5496366Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:29.5496528Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:29.5496668Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:29.5496814Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:29.5496956Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:29.5497091Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:29.5497206Z                         float tmp26 = 0.0;
2022-11-23T01:32:29.5497330Z                         if(tmp25)
2022-11-23T01:32:29.5497441Z                         {
2022-11-23T01:32:29.5497692Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5497815Z                             tmp26 = tmp27;
2022-11-23T01:32:29.5497921Z                         }
2022-11-23T01:32:29.5498044Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:29.5498180Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:29.5498325Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:29.5498540Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:29.5498683Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:29.5498977Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:29.5499200Z                         float tmp34 = 0.0;
2022-11-23T01:32:29.5499321Z                         if(tmp33)
2022-11-23T01:32:29.5499414Z                         {
2022-11-23T01:32:29.5499669Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5499798Z                             tmp34 = tmp35;
2022-11-23T01:32:29.5499894Z                         }
2022-11-23T01:32:29.5500030Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:29.5500174Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:29.5500309Z                         float tmp38 = 0.0;
2022-11-23T01:32:29.5500412Z                         if(tmp37)
2022-11-23T01:32:29.5500514Z                         {
2022-11-23T01:32:29.5500678Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:29.5500811Z                             tmp38 = tmp39;
2022-11-23T01:32:29.5500917Z                         }
2022-11-23T01:32:29.5501060Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:29.5501206Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:29.5501327Z                         float tmp42 = 0.0;
2022-11-23T01:32:29.5501428Z                         if(tmp41)
2022-11-23T01:32:29.5501533Z                         {
2022-11-23T01:32:29.5501692Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5501820Z                             tmp42 = tmp43;
2022-11-23T01:32:29.5501928Z                         }
2022-11-23T01:32:29.5502069Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:29.5502232Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:29.5502354Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:29.5502503Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:29.5502642Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:29.5502784Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:29.5502920Z                         float tmp50 = 0.0;
2022-11-23T01:32:29.5503036Z                         if(tmp49)
2022-11-23T01:32:29.5503136Z                         {
2022-11-23T01:32:29.5503281Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5503411Z                             tmp50 = tmp51;
2022-11-23T01:32:29.5503522Z                         }
2022-11-23T01:32:29.5503658Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:29.5503792Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:29.5503907Z                         float tmp54 = 0.0;
2022-11-23T01:32:29.5504006Z                         if(tmp53)
2022-11-23T01:32:29.5504094Z                         {
2022-11-23T01:32:29.5504252Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5504383Z                             tmp54 = tmp55;
2022-11-23T01:32:29.5504488Z                         }
2022-11-23T01:32:29.5504637Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:29.5504766Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:29.5504894Z                         float tmp58 = 0.0;
2022-11-23T01:32:29.5504998Z                         if(tmp57)
2022-11-23T01:32:29.5505103Z                         {
2022-11-23T01:32:29.5505272Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:29.5505402Z                             tmp58 = tmp59;
2022-11-23T01:32:29.5505510Z                         }
2022-11-23T01:32:29.5505647Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:29.5505823Z                         auto tmp61 = static_cast<float>(0.3333333333333333);
2022-11-23T01:32:29.5506053Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:32:29.5506187Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:32:29.5506296Z                     }
2022-11-23T01:32:29.5506396Z                 }
2022-11-23T01:32:29.5506553Z             }
2022-11-23T01:32:29.5506645Z         }
2022-11-23T01:32:29.5506736Z     }
2022-11-23T01:32:29.5506818Z }
2022-11-23T01:32:29.5506961Z ''')
2022-11-23T01:32:29.5506970Z 
2022-11-23T01:32:29.5506976Z 
2022-11-23T01:32:29.5507109Z async_compile.wait(globals())
2022-11-23T01:32:29.5507219Z del async_compile
2022-11-23T01:32:29.5507227Z 
2022-11-23T01:32:29.5507330Z def call(args):
2022-11-23T01:32:29.5507430Z     arg0_1, = args
2022-11-23T01:32:29.5507534Z     args.clear()
2022-11-23T01:32:29.5507821Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5507993Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.5508094Z     del arg0_1
2022-11-23T01:32:29.5508192Z     return (buf0, )
2022-11-23T01:32:29.5508207Z 
2022-11-23T01:32:29.5508212Z 
2022-11-23T01:32:29.5508320Z if __name__ == "__main__":
2022-11-23T01:32:29.5508456Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5508603Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5508906Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5509045Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5509053Z 
2022-11-23T01:32:29.5509143Z ok (1.745s)
2022-11-23T01:32:29.5509511Z   test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5509940Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5510232Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5510672Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5511047Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5511478Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5511945Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5512369Z [2022-11-23 01:22:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5512866Z [2022-11-23 01:22:18,278] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066> 
2022-11-23T01:32:29.5512994Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5513136Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:29.5513264Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.5513392Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:29.5513520Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:29.5513642Z               10 BUILD_LIST               2
2022-11-23T01:32:29.5513775Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5513898Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5514007Z               16 BUILD_LIST               2
2022-11-23T01:32:29.5514130Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5514257Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:29.5514373Z               22 BUILD_LIST               2
2022-11-23T01:32:29.5514565Z               24 CALL_METHOD              4
2022-11-23T01:32:29.5514682Z               26 RETURN_VALUE
2022-11-23T01:32:29.5514771Z  
2022-11-23T01:32:29.5514779Z 
2022-11-23T01:32:29.5515187Z [2022-11-23 01:22:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067
2022-11-23T01:32:29.5515509Z [2022-11-23 01:22:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5515926Z [2022-11-23 01:22:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5516264Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:29.5516702Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:29.5517163Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5517670Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5518157Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5518619Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5519147Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5519621Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5520114Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5520624Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5521123Z [2022-11-23 01:22:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5521560Z [2022-11-23 01:22:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5522125Z [2022-11-23 01:22:18,285] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066>
2022-11-23T01:32:29.5522480Z [2022-11-23 01:22:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5522845Z [2022-11-23 01:22:18,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5523202Z [2022-11-23 01:22:18,286] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5523592Z [2022-11-23 01:22:18,288] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5523878Z [2022-11-23 01:22:18,288] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5524070Z  __compiled_fn_31 <eval_with_key>.200 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5524187Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5524454Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T01:32:29.5524675Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:29.5524683Z 
2022-11-23T01:32:29.5525131Z [2022-11-23 01:22:18,289] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5525354Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5525499Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5525634Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5525785Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5525893Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5526033Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5526166Z              12 RETURN_VALUE
2022-11-23T01:32:29.5526174Z 
2022-11-23T01:32:29.5526283Z  
2022-11-23T01:32:29.5526765Z [2022-11-23 01:22:18,289] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5526964Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_31)
2022-11-23T01:32:29.5527113Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5527262Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5527371Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5527518Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.5527679Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5527844Z              12 RETURN_VALUE
2022-11-23T01:32:29.5527851Z 
2022-11-23T01:32:29.5527950Z  
2022-11-23T01:32:29.5528267Z [2022-11-23 01:22:18,289] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5528394Z  - 
2022-11-23T01:32:29.5528546Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5528655Z             {
2022-11-23T01:32:29.5528872Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5529139Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.5529325Z                 'obj_weakref': None
2022-11-23T01:32:29.5529642Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5529788Z             }
2022-11-23T01:32:29.5529868Z             
2022-11-23T01:32:29.5529997Z  - 
2022-11-23T01:32:29.5530193Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5530307Z             {
2022-11-23T01:32:29.5530552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5530733Z                 'code': None,
2022-11-23T01:32:29.5531091Z                 'obj_weakref': <weakref at 0x7f2068242110; to 'Tensor' at 0x7f2072854950>
2022-11-23T01:32:29.5531446Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5531576Z             }
2022-11-23T01:32:29.5531696Z             
2022-11-23T01:32:29.5531814Z  - 
2022-11-23T01:32:29.5532015Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5532141Z             {
2022-11-23T01:32:29.5532363Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5532591Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5532826Z                 'obj_weakref': None
2022-11-23T01:32:29.5533166Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5533289Z             }
2022-11-23T01:32:29.5533405Z             
2022-11-23T01:32:29.5533535Z  - 
2022-11-23T01:32:29.5533744Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5533832Z             {
2022-11-23T01:32:29.5534048Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5534394Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5534592Z                 'obj_weakref': None
2022-11-23T01:32:29.5535023Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5535139Z             }
2022-11-23T01:32:29.5535245Z             
2022-11-23T01:32:29.5535345Z  - 
2022-11-23T01:32:29.5535569Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5535753Z             {
2022-11-23T01:32:29.5535934Z                 'guard_types': None,
2022-11-23T01:32:29.5536104Z                 'code': None,
2022-11-23T01:32:29.5536295Z                 'obj_weakref': None
2022-11-23T01:32:29.5536499Z                 'guarded_class': None
2022-11-23T01:32:29.5536588Z             }
2022-11-23T01:32:29.5536711Z             
2022-11-23T01:32:29.5537082Z [2022-11-23 01:22:18,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30
2022-11-23T01:32:29.5537454Z [2022-11-23 01:22:18,294] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T01:32:29.5537980Z [2022-11-23 01:22:18,296] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/cktwmu6cad6ggrmnnt46s7f6cptdalarkp2bnsabof6v7vmt2f5q.py
2022-11-23T01:32:29.5538369Z [2022-11-23 01:22:18,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30
2022-11-23T01:32:29.5538379Z 
2022-11-23T01:32:29.5538574Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5538721Z import torch
2022-11-23T01:32:29.5538960Z import random
2022-11-23T01:32:29.5539166Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5539389Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5539396Z 
2022-11-23T01:32:29.5539519Z aten = torch.ops.aten
2022-11-23T01:32:29.5539727Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5539872Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5539879Z 
2022-11-23T01:32:29.5540013Z import triton
2022-11-23T01:32:29.5540133Z import triton.language as tl
2022-11-23T01:32:29.5540328Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5540599Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5540608Z 
2022-11-23T01:32:29.5540615Z 
2022-11-23T01:32:29.5540764Z async_compile.wait(globals())
2022-11-23T01:32:29.5540904Z del async_compile
2022-11-23T01:32:29.5540916Z 
2022-11-23T01:32:29.5541038Z def call(args):
2022-11-23T01:32:29.5541152Z     arg0_1, = args
2022-11-23T01:32:29.5541276Z     args.clear()
2022-11-23T01:32:29.5541458Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T01:32:29.5541629Z     del arg0_1
2022-11-23T01:32:29.5541778Z     buf1 = buf0
2022-11-23T01:32:29.5541939Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T01:32:29.5542050Z     del buf0
2022-11-23T01:32:29.5542176Z     return (buf1, )
2022-11-23T01:32:29.5542184Z 
2022-11-23T01:32:29.5542190Z 
2022-11-23T01:32:29.5542319Z if __name__ == "__main__":
2022-11-23T01:32:29.5542474Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.5542669Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.5543022Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.5543236Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.5543248Z 
2022-11-23T01:32:29.5543369Z ok (0.023s)
2022-11-23T01:32:29.5543850Z   test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.5544284Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.5544599Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.5544953Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.5545385Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.5545836Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5546399Z [2022-11-23 01:22:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5546836Z [2022-11-23 01:22:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.5547345Z [2022-11-23 01:22:18,301] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057> 
2022-11-23T01:32:29.5547495Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.5547668Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:29.5547676Z 
2022-11-23T01:32:29.5547828Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.5547835Z 
2022-11-23T01:32:29.5547986Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.5548000Z 
2022-11-23T01:32:29.5548168Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5548283Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:29.5548426Z               12 BUILD_LIST               2
2022-11-23T01:32:29.5548434Z 
2022-11-23T01:32:29.5548579Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5548724Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5548857Z               18 BUILD_LIST               2
2022-11-23T01:32:29.5548865Z 
2022-11-23T01:32:29.5549000Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5549147Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5549313Z               24 BUILD_LIST               2
2022-11-23T01:32:29.5549321Z 
2022-11-23T01:32:29.5549449Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T01:32:29.5549527Z 
2022-11-23T01:32:29.5549650Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T01:32:29.5549658Z 
2022-11-23T01:32:29.5549820Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T01:32:29.5549828Z 
2022-11-23T01:32:29.5549971Z 4058          32 CALL_METHOD              8
2022-11-23T01:32:29.5550096Z               34 RETURN_VALUE
2022-11-23T01:32:29.5550200Z  
2022-11-23T01:32:29.5550207Z 
2022-11-23T01:32:29.5550786Z [2022-11-23 01:22:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:29.5551145Z [2022-11-23 01:22:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.5551609Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.5552063Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059
2022-11-23T01:32:29.5552420Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:29.5552837Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060
2022-11-23T01:32:29.5553247Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:29.5553673Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061
2022-11-23T01:32:29.5554148Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.5554694Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5555250Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5555698Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062
2022-11-23T01:32:29.5556176Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.5556713Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5557373Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5557837Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063
2022-11-23T01:32:29.5558365Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5558910Z [2022-11-23 01:22:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.5570648Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.5571121Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064
2022-11-23T01:32:29.5571758Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.5572240Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065
2022-11-23T01:32:29.5962728Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.5963625Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066
2022-11-23T01:32:29.5964578Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:29.5965146Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:29.5966110Z [2022-11-23 01:22:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:29.5966909Z [2022-11-23 01:22:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5967663Z [2022-11-23 01:22:18,309] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057>
2022-11-23T01:32:29.5968243Z [2022-11-23 01:22:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.5968724Z [2022-11-23 01:22:18,309] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.5969209Z [2022-11-23 01:22:18,310] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.5969669Z [2022-11-23 01:22:18,312] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.5970028Z [2022-11-23 01:22:18,313] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.5970291Z  __compiled_fn_32 <eval_with_key>.206 opcode, name, target, args, kwargs
2022-11-23T01:32:29.5970475Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.5970660Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.5971002Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T01:32:29.5971230Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:29.5971241Z 
2022-11-23T01:32:29.5971856Z [2022-11-23 01:22:18,313] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5972029Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.5972209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5972381Z               4 BUILD_MAP                0
2022-11-23T01:32:29.5972530Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.5972662Z               8 DICT_MERGE               1
2022-11-23T01:32:29.5972797Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.5972959Z              12 RETURN_VALUE
2022-11-23T01:32:29.5972967Z 
2022-11-23T01:32:29.5973067Z  
2022-11-23T01:32:29.5973577Z [2022-11-23 01:22:18,313] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.5973772Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_32)
2022-11-23T01:32:29.5973915Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5974028Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.5974113Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.5974212Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.5974309Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.5974387Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.5974486Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.5974592Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.5974678Z              18 RETURN_VALUE
2022-11-23T01:32:29.5974684Z 
2022-11-23T01:32:29.5974762Z  
2022-11-23T01:32:29.5974962Z [2022-11-23 01:22:18,314] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.5975045Z  - 
2022-11-23T01:32:29.5975167Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.5975294Z             {
2022-11-23T01:32:29.5975520Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.5975768Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.5975897Z                 'obj_weakref': None
2022-11-23T01:32:29.5976128Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.5976203Z             }
2022-11-23T01:32:29.5976292Z             
2022-11-23T01:32:29.5976373Z  - 
2022-11-23T01:32:29.5976506Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.5976578Z             {
2022-11-23T01:32:29.5976816Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5976938Z                 'code': None,
2022-11-23T01:32:29.5977160Z                 'obj_weakref': <weakref at 0x7f2115af5030; to 'Tensor' at 0x7f20726c2ca0>
2022-11-23T01:32:29.5977463Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5977538Z             }
2022-11-23T01:32:29.5977611Z             
2022-11-23T01:32:29.5977692Z  - 
2022-11-23T01:32:29.5977847Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.5977919Z             {
2022-11-23T01:32:29.5978068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.5978198Z                 'code': None,
2022-11-23T01:32:29.5978410Z                 'obj_weakref': <weakref at 0x7f2115af4360; to 'Tensor' at 0x7f2115b20b80>
2022-11-23T01:32:29.5978654Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.5978751Z             }
2022-11-23T01:32:29.5978967Z             
2022-11-23T01:32:29.5979046Z  - 
2022-11-23T01:32:29.5979187Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.5979251Z             {
2022-11-23T01:32:29.5979402Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.5979664Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.5979873Z                 'obj_weakref': None
2022-11-23T01:32:29.5980210Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.5980316Z             }
2022-11-23T01:32:29.5980411Z             
2022-11-23T01:32:29.5980563Z  - 
2022-11-23T01:32:29.5980746Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.5980847Z             {
2022-11-23T01:32:29.5981047Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.5981346Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.5981524Z                 'obj_weakref': None
2022-11-23T01:32:29.5981830Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.5981935Z             }
2022-11-23T01:32:29.5982024Z             
2022-11-23T01:32:29.5982131Z  - 
2022-11-23T01:32:29.5982326Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.5982428Z             {
2022-11-23T01:32:29.5982596Z                 'guard_types': None,
2022-11-23T01:32:29.5982754Z                 'code': None,
2022-11-23T01:32:29.5982916Z                 'obj_weakref': None
2022-11-23T01:32:29.5983101Z                 'guarded_class': None
2022-11-23T01:32:29.5983202Z             }
2022-11-23T01:32:29.5983298Z             
2022-11-23T01:32:29.5983707Z [2022-11-23 01:22:18,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31
2022-11-23T01:32:29.5983715Z 
2022-11-23T01:32:29.5983855Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.5983961Z import torch
2022-11-23T01:32:29.5984060Z import random
2022-11-23T01:32:29.5984225Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.5984390Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.5984403Z 
2022-11-23T01:32:29.5984522Z aten = torch.ops.aten
2022-11-23T01:32:29.5984714Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.5984847Z async_compile = AsyncCompile()
2022-11-23T01:32:29.5984855Z 
2022-11-23T01:32:29.5985002Z import triton
2022-11-23T01:32:29.5985137Z import triton.language as tl
2022-11-23T01:32:29.5985293Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.5985491Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.5985499Z 
2022-11-23T01:32:29.5985506Z 
2022-11-23T01:32:29.5985711Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.5985991Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.5986313Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.5986471Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.5986565Z {
2022-11-23T01:32:29.5986758Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.5986844Z     {
2022-11-23T01:32:29.5986966Z         #pragma omp for 
2022-11-23T01:32:29.5987089Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:29.5987190Z         {
2022-11-23T01:32:29.5987311Z             #pragma GCC ivdep
2022-11-23T01:32:29.5987438Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:32:29.5987536Z             {
2022-11-23T01:32:29.5987625Z                 {
2022-11-23T01:32:29.5987725Z                     {
2022-11-23T01:32:29.5987974Z                         auto tmp0 = static_cast<int>((-1) + i0);
2022-11-23T01:32:29.5988202Z                         auto tmp1 = static_cast<int>((-1) + i1);
2022-11-23T01:32:29.5988353Z                         auto tmp2 = static_cast<int>(2 + i0);
2022-11-23T01:32:29.5988520Z                         auto tmp3 = static_cast<int>(2 + i1);
2022-11-23T01:32:29.5988671Z                         auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:29.5988844Z                         auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:29.5989045Z                         auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:29.5989194Z                         auto tmp7 = static_cast<int>(20);
2022-11-23T01:32:29.5989349Z                         auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:29.5989501Z                         auto tmp9 = static_cast<int>(15);
2022-11-23T01:32:29.5989661Z                         auto tmp10 = std::min(tmp3, tmp9);
2022-11-23T01:32:29.5989800Z                         auto tmp11 = tmp5 + tmp4;
2022-11-23T01:32:29.5989933Z                         auto tmp12 = tmp6 + tmp4;
2022-11-23T01:32:29.5990071Z                         auto tmp13 = static_cast<int>(1);
2022-11-23T01:32:29.5990346Z                         auto tmp14 = static_cast<int>(3);
2022-11-23T01:32:29.5990493Z                         auto tmp15 = tmp11 * tmp13;
2022-11-23T01:32:29.6011507Z                         auto tmp16 = tmp15 - tmp13;
2022-11-23T01:32:29.6011679Z                         auto tmp17 = tmp12 * tmp13;
2022-11-23T01:32:29.6011917Z                         auto tmp18 = tmp17 - tmp13;
2022-11-23T01:32:29.6012051Z                         auto tmp19 = tmp16 + tmp14;
2022-11-23T01:32:29.6012175Z                         auto tmp20 = tmp7 + tmp13;
2022-11-23T01:32:29.6012342Z                         auto tmp21 = std::min(tmp19, tmp20);
2022-11-23T01:32:29.6012479Z                         auto tmp22 = tmp18 + tmp14;
2022-11-23T01:32:29.6012622Z                         auto tmp23 = tmp9 + tmp13;
2022-11-23T01:32:29.6012775Z                         auto tmp24 = std::min(tmp22, tmp23);
2022-11-23T01:32:29.6012935Z                         auto tmp25 = std::max(tmp16, tmp4);
2022-11-23T01:32:29.6013089Z                         auto tmp26 = std::max(tmp18, tmp4);
2022-11-23T01:32:29.6013246Z                         auto tmp27 = std::min(tmp21, tmp7);
2022-11-23T01:32:29.6013385Z                         auto tmp28 = std::min(tmp24, tmp9);
2022-11-23T01:32:29.6013664Z                         auto tmp29 = tmp27 - tmp25;
2022-11-23T01:32:29.6013868Z                         auto tmp30 = tmp28 - tmp26;
2022-11-23T01:32:29.6014006Z                         auto tmp31 = tmp29 * tmp30;
2022-11-23T01:32:29.6014211Z                         auto tmp32 = tmp8 - tmp13;
2022-11-23T01:32:29.6014363Z                         auto tmp33 = std::min(tmp11, tmp32);
2022-11-23T01:32:29.6014605Z                         auto tmp34 = tmp10 - tmp13;
2022-11-23T01:32:29.6014758Z                         auto tmp35 = std::min(tmp12, tmp34);
2022-11-23T01:32:29.6014909Z                         auto tmp36 = in_ptr0[tmp35 + (15*tmp33)];
2022-11-23T01:32:29.6015052Z                         auto tmp37 = tmp36 / tmp31;
2022-11-23T01:32:29.6015187Z                         auto tmp38 = tmp11 < tmp8;
2022-11-23T01:32:29.6015438Z                         auto tmp39 = tmp12 < tmp10;
2022-11-23T01:32:29.6015577Z                         auto tmp40 = tmp38 & tmp39;
2022-11-23T01:32:29.6015736Z                         auto tmp41 = static_cast<float>(0.0);
2022-11-23T01:32:29.6015965Z                         auto tmp42 = tmp40 ? tmp37 : tmp41;
2022-11-23T01:32:29.6016130Z                         auto tmp43 = tmp6 + tmp13;
2022-11-23T01:32:29.6016270Z                         auto tmp44 = tmp43 * tmp13;
2022-11-23T01:32:29.6016474Z                         auto tmp45 = tmp44 - tmp13;
2022-11-23T01:32:29.6016612Z                         auto tmp46 = tmp45 + tmp14;
2022-11-23T01:32:29.6016768Z                         auto tmp47 = std::min(tmp46, tmp23);
2022-11-23T01:32:29.6016919Z                         auto tmp48 = std::max(tmp45, tmp4);
2022-11-23T01:32:29.6017070Z                         auto tmp49 = std::min(tmp47, tmp9);
2022-11-23T01:32:29.6017274Z                         auto tmp50 = tmp49 - tmp48;
2022-11-23T01:32:29.6017408Z                         auto tmp51 = tmp29 * tmp50;
2022-11-23T01:32:29.6017562Z                         auto tmp52 = std::min(tmp43, tmp34);
2022-11-23T01:32:29.6017714Z                         auto tmp53 = in_ptr0[tmp52 + (15*tmp33)];
2022-11-23T01:32:29.6017848Z                         auto tmp54 = tmp53 / tmp51;
2022-11-23T01:32:29.6017975Z                         auto tmp55 = tmp43 < tmp10;
2022-11-23T01:32:29.6018105Z                         auto tmp56 = tmp38 & tmp55;
2022-11-23T01:32:29.6018240Z                         auto tmp57 = tmp42 + tmp54;
2022-11-23T01:32:29.6018377Z                         auto tmp58 = tmp56 ? tmp57 : tmp42;
2022-11-23T01:32:29.6018525Z                         auto tmp59 = static_cast<int>(2);
2022-11-23T01:32:29.6018658Z                         auto tmp60 = tmp6 + tmp59;
2022-11-23T01:32:29.6018989Z                         auto tmp61 = tmp60 * tmp13;
2022-11-23T01:32:29.6019218Z                         auto tmp62 = tmp61 - tmp13;
2022-11-23T01:32:29.6019352Z                         auto tmp63 = tmp62 + tmp14;
2022-11-23T01:32:29.6019513Z                         auto tmp64 = std::min(tmp63, tmp23);
2022-11-23T01:32:29.6019668Z                         auto tmp65 = std::max(tmp62, tmp4);
2022-11-23T01:32:29.6019815Z                         auto tmp66 = std::min(tmp64, tmp9);
2022-11-23T01:32:29.6020024Z                         auto tmp67 = tmp66 - tmp65;
2022-11-23T01:32:29.6020157Z                         auto tmp68 = tmp29 * tmp67;
2022-11-23T01:32:29.6020309Z                         auto tmp69 = std::min(tmp60, tmp34);
2022-11-23T01:32:29.6020459Z                         auto tmp70 = in_ptr0[tmp69 + (15*tmp33)];
2022-11-23T01:32:29.6020594Z                         auto tmp71 = tmp70 / tmp68;
2022-11-23T01:32:29.6020727Z                         auto tmp72 = tmp60 < tmp10;
2022-11-23T01:32:29.6020859Z                         auto tmp73 = tmp38 & tmp72;
2022-11-23T01:32:29.6020985Z                         auto tmp74 = tmp58 + tmp71;
2022-11-23T01:32:29.6021136Z                         auto tmp75 = tmp73 ? tmp74 : tmp58;
2022-11-23T01:32:29.6021291Z                         auto tmp76 = tmp5 + tmp13;
2022-11-23T01:32:29.6021445Z                         auto tmp77 = tmp76 * tmp13;
2022-11-23T01:32:29.6021664Z                         auto tmp78 = tmp77 - tmp13;
2022-11-23T01:32:29.6021801Z                         auto tmp79 = tmp78 + tmp14;
2022-11-23T01:32:29.6021956Z                         auto tmp80 = std::min(tmp79, tmp20);
2022-11-23T01:32:29.6022103Z                         auto tmp81 = std::max(tmp78, tmp4);
2022-11-23T01:32:29.6022256Z                         auto tmp82 = std::min(tmp80, tmp7);
2022-11-23T01:32:29.6022458Z                         auto tmp83 = tmp82 - tmp81;
2022-11-23T01:32:29.6022604Z                         auto tmp84 = tmp83 * tmp30;
2022-11-23T01:32:29.6022760Z                         auto tmp85 = std::min(tmp76, tmp32);
2022-11-23T01:32:29.6022912Z                         auto tmp86 = in_ptr0[tmp35 + (15*tmp85)];
2022-11-23T01:32:29.6023045Z                         auto tmp87 = tmp86 / tmp84;
2022-11-23T01:32:29.6023268Z                         auto tmp88 = tmp76 < tmp8;
2022-11-23T01:32:29.6023394Z                         auto tmp89 = tmp88 & tmp39;
2022-11-23T01:32:29.6023526Z                         auto tmp90 = tmp75 + tmp87;
2022-11-23T01:32:29.6023718Z                         auto tmp91 = tmp89 ? tmp90 : tmp75;
2022-11-23T01:32:29.6023850Z                         auto tmp92 = tmp83 * tmp50;
2022-11-23T01:32:29.6024004Z                         auto tmp93 = in_ptr0[tmp52 + (15*tmp85)];
2022-11-23T01:32:29.6024142Z                         auto tmp94 = tmp93 / tmp92;
2022-11-23T01:32:29.6024272Z                         auto tmp95 = tmp88 & tmp55;
2022-11-23T01:32:29.6024391Z                         auto tmp96 = tmp91 + tmp94;
2022-11-23T01:32:29.6024537Z                         auto tmp97 = tmp95 ? tmp96 : tmp91;
2022-11-23T01:32:29.6024674Z                         auto tmp98 = tmp83 * tmp67;
2022-11-23T01:32:29.6024825Z                         auto tmp99 = in_ptr0[tmp69 + (15*tmp85)];
2022-11-23T01:32:29.6045943Z                         auto tmp100 = tmp99 / tmp98;
2022-11-23T01:32:29.6046208Z                         auto tmp101 = tmp88 & tmp72;
2022-11-23T01:32:29.6046322Z                         auto tmp102 = tmp97 + tmp100;
2022-11-23T01:32:29.6046450Z                         auto tmp103 = tmp101 ? tmp102 : tmp97;
2022-11-23T01:32:29.6046574Z                         auto tmp104 = tmp5 + tmp59;
2022-11-23T01:32:29.6046683Z                         auto tmp105 = tmp104 * tmp13;
2022-11-23T01:32:29.6046967Z                         auto tmp106 = tmp105 - tmp13;
2022-11-23T01:32:29.6047096Z                         auto tmp107 = tmp106 + tmp14;
2022-11-23T01:32:29.6047260Z                         auto tmp108 = std::min(tmp107, tmp20);
2022-11-23T01:32:29.6047413Z                         auto tmp109 = std::max(tmp106, tmp4);
2022-11-23T01:32:29.6055738Z                         auto tmp110 = std::min(tmp108, tmp7);
2022-11-23T01:32:29.6056041Z                         auto tmp111 = tmp110 - tmp109;
2022-11-23T01:32:29.6056189Z                         auto tmp112 = tmp111 * tmp30;
2022-11-23T01:32:29.6056358Z                         auto tmp113 = std::min(tmp104, tmp32);
2022-11-23T01:32:29.6056518Z                         auto tmp114 = in_ptr0[tmp35 + (15*tmp113)];
2022-11-23T01:32:29.6056668Z                         auto tmp115 = tmp114 / tmp112;
2022-11-23T01:32:29.6056812Z                         auto tmp116 = tmp104 < tmp8;
2022-11-23T01:32:29.6056961Z                         auto tmp117 = tmp116 & tmp39;
2022-11-23T01:32:29.6057102Z                         auto tmp118 = tmp103 + tmp115;
2022-11-23T01:32:29.6057246Z                         auto tmp119 = tmp117 ? tmp118 : tmp103;
2022-11-23T01:32:29.6057390Z                         auto tmp120 = tmp111 * tmp50;
2022-11-23T01:32:29.6057556Z                         auto tmp121 = in_ptr0[tmp52 + (15*tmp113)];
2022-11-23T01:32:29.6057700Z                         auto tmp122 = tmp121 / tmp120;
2022-11-23T01:32:29.6057849Z                         auto tmp123 = tmp116 & tmp55;
2022-11-23T01:32:29.6057995Z                         auto tmp124 = tmp119 + tmp122;
2022-11-23T01:32:29.6058143Z                         auto tmp125 = tmp123 ? tmp124 : tmp119;
2022-11-23T01:32:29.6058290Z                         auto tmp126 = tmp111 * tmp67;
2022-11-23T01:32:29.6058439Z                         auto tmp127 = in_ptr0[tmp69 + (15*tmp113)];
2022-11-23T01:32:29.6058591Z                         auto tmp128 = tmp127 / tmp126;
2022-11-23T01:32:29.6058740Z                         auto tmp129 = tmp116 & tmp72;
2022-11-23T01:32:29.6059084Z                         auto tmp130 = tmp125 + tmp128;
2022-11-23T01:32:29.6059240Z                         auto tmp131 = tmp129 ? tmp130 : tmp125;
2022-11-23T01:32:29.6059388Z                         out_ptr0[i1 + (15*i0)] = tmp131;
2022-11-23T01:32:29.6059492Z                     }
2022-11-23T01:32:29.6059585Z                 }
2022-11-23T01:32:29.6059686Z             }
2022-11-23T01:32:29.6059784Z         }
2022-11-23T01:32:29.6059884Z     }
2022-11-23T01:32:29.6060263Z }
2022-11-23T01:32:29.6060473Z ''')
2022-11-23T01:32:29.6060482Z 
2022-11-23T01:32:29.6060488Z 
2022-11-23T01:32:29.6060630Z async_compile.wait(globals())
2022-11-23T01:32:29.6060803Z del async_compile
2022-11-23T01:32:29.6060811Z 
2022-11-23T01:32:29.6060925Z def call(args):
2022-11-23T01:32:29.6061044Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6061157Z     args.clear()
2022-11-23T01:32:29.6061490Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6061697Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.6061805Z     del arg0_1
2022-11-23T01:32:29.6061905Z     return (buf0, )
2022-11-23T01:32:29.6061927Z 
2022-11-23T01:32:29.6061934Z 
2022-11-23T01:32:29.6062042Z if __name__ == "__main__":
2022-11-23T01:32:29.6062211Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6062404Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6062726Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6063039Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6063218Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6063738Z [2022-11-23 01:22:20,003] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cqumu3mey6u3jen33akwggt346ljxt25exenzvtulx6w2vc3xcss.py
2022-11-23T01:32:29.6064115Z [2022-11-23 01:22:20,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31
2022-11-23T01:32:29.6064124Z 
2022-11-23T01:32:29.6064217Z ok (1.714s)
2022-11-23T01:32:29.6064679Z   test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:20,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6065141Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6065473Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6065825Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6066229Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6066686Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6067164Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6067611Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6068128Z [2022-11-23 01:22:20,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078> 
2022-11-23T01:32:29.6068269Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6068431Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:29.6068439Z 
2022-11-23T01:32:29.6068566Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6068573Z 
2022-11-23T01:32:29.6068701Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6068708Z 
2022-11-23T01:32:29.6068837Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T01:32:29.6068964Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:29.6069088Z               12 BUILD_LIST               2
2022-11-23T01:32:29.6069096Z 
2022-11-23T01:32:29.6069225Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T01:32:29.6069436Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:29.6069571Z               18 BUILD_LIST               2
2022-11-23T01:32:29.6069579Z 
2022-11-23T01:32:29.6069703Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T01:32:29.6069864Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:29.6069984Z               24 BUILD_LIST               2
2022-11-23T01:32:29.6069991Z 
2022-11-23T01:32:29.6070122Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T01:32:29.6070130Z 
2022-11-23T01:32:29.6070372Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T01:32:29.6070379Z 
2022-11-23T01:32:29.6070514Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T01:32:29.6070522Z 
2022-11-23T01:32:29.6070651Z 4079          32 CALL_METHOD              8
2022-11-23T01:32:29.6070759Z               34 RETURN_VALUE
2022-11-23T01:32:29.6070849Z  
2022-11-23T01:32:29.6070856Z 
2022-11-23T01:32:29.6071320Z [2022-11-23 01:22:20,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:29.6071626Z [2022-11-23 01:22:20,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6072092Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6072536Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080
2022-11-23T01:32:29.6072910Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:29.6073342Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081
2022-11-23T01:32:29.6073761Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:29.6074190Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082
2022-11-23T01:32:29.6074664Z [2022-11-23 01:22:20,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6075173Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6075727Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6076170Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083
2022-11-23T01:32:29.6076654Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.6077179Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6077765Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6078201Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084
2022-11-23T01:32:29.6099637Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6104995Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6110514Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6111828Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085
2022-11-23T01:32:29.6112450Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6112899Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086
2022-11-23T01:32:29.6113540Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.6113972Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087
2022-11-23T01:32:29.6114665Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:29.6115110Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:29.6115875Z [2022-11-23 01:22:20,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:29.6116242Z [2022-11-23 01:22:20,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6116786Z [2022-11-23 01:22:20,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078>
2022-11-23T01:32:29.6117157Z [2022-11-23 01:22:20,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6117498Z [2022-11-23 01:22:20,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6117860Z [2022-11-23 01:22:20,125] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6118224Z [2022-11-23 01:22:20,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6118514Z [2022-11-23 01:22:20,127] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6118716Z  __compiled_fn_33 <eval_with_key>.212 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6118859Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6118990Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6119248Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T01:32:29.6119419Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:29.6119437Z 
2022-11-23T01:32:29.6119977Z [2022-11-23 01:22:20,128] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6120124Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6120256Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6120439Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6120583Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6120715Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6120837Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6120973Z              12 RETURN_VALUE
2022-11-23T01:32:29.6120982Z 
2022-11-23T01:32:29.6121078Z  
2022-11-23T01:32:29.6121551Z [2022-11-23 01:22:20,128] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6121736Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_33)
2022-11-23T01:32:29.6121866Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6122006Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6122115Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6122251Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6122398Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6122515Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6122642Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6122799Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6122907Z              18 RETURN_VALUE
2022-11-23T01:32:29.6122916Z 
2022-11-23T01:32:29.6123013Z  
2022-11-23T01:32:29.6123277Z [2022-11-23 01:22:20,128] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6123387Z  - 
2022-11-23T01:32:29.6123563Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6123680Z             {
2022-11-23T01:32:29.6123885Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6124151Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6124354Z                 'obj_weakref': None
2022-11-23T01:32:29.6124672Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6124771Z             }
2022-11-23T01:32:29.6124867Z             
2022-11-23T01:32:29.6124973Z  - 
2022-11-23T01:32:29.6125172Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6125276Z             {
2022-11-23T01:32:29.6125507Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6125669Z                 'code': None,
2022-11-23T01:32:29.6125976Z                 'obj_weakref': <weakref at 0x7f21284a8f40; to 'Tensor' at 0x7f2115a7a750>
2022-11-23T01:32:29.6126324Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6126425Z             }
2022-11-23T01:32:29.6126524Z             
2022-11-23T01:32:29.6126658Z  - 
2022-11-23T01:32:29.6126843Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6126961Z             {
2022-11-23T01:32:29.6127164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6127328Z                 'code': None,
2022-11-23T01:32:29.6127623Z                 'obj_weakref': <weakref at 0x7f2115a88450; to 'Tensor' at 0x7f2068175f30>
2022-11-23T01:32:29.6163768Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6163906Z             }
2022-11-23T01:32:29.6164000Z             
2022-11-23T01:32:29.6164145Z  - 
2022-11-23T01:32:29.6164335Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6164431Z             {
2022-11-23T01:32:29.6165637Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6165917Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.6166817Z                 'obj_weakref': None
2022-11-23T01:32:29.6167167Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6168281Z             }
2022-11-23T01:32:29.6168391Z             
2022-11-23T01:32:29.6168521Z  - 
2022-11-23T01:32:29.6168711Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6169523Z             {
2022-11-23T01:32:29.6169756Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6170649Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6170839Z                 'obj_weakref': None
2022-11-23T01:32:29.6171996Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6172119Z             }
2022-11-23T01:32:29.6172220Z             
2022-11-23T01:32:29.6172341Z  - 
2022-11-23T01:32:29.6172543Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6173556Z             {
2022-11-23T01:32:29.6173768Z                 'guard_types': None,
2022-11-23T01:32:29.6173922Z                 'code': None,
2022-11-23T01:32:29.6175254Z                 'obj_weakref': None
2022-11-23T01:32:29.6175464Z                 'guarded_class': None
2022-11-23T01:32:29.6176424Z             }
2022-11-23T01:32:29.6176644Z             
2022-11-23T01:32:29.6177059Z [2022-11-23 01:22:20,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32
2022-11-23T01:32:29.6179862Z [2022-11-23 01:22:21,766] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chiuws4qm5xisbeuhilr4lmuyy7ntrmdxss3mfpupnxr34lfsesp.py
2022-11-23T01:32:29.6180278Z [2022-11-23 01:22:21,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32
2022-11-23T01:32:29.6180301Z 
2022-11-23T01:32:29.6180441Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6182762Z import torch
2022-11-23T01:32:29.6183530Z import random
2022-11-23T01:32:29.6183728Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6183916Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6183924Z 
2022-11-23T01:32:29.6184048Z aten = torch.ops.aten
2022-11-23T01:32:29.6205000Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6205322Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6205366Z 
2022-11-23T01:32:29.6205489Z import triton
2022-11-23T01:32:29.6205654Z import triton.language as tl
2022-11-23T01:32:29.6206000Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6206246Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6206257Z 
2022-11-23T01:32:29.6206265Z 
2022-11-23T01:32:29.6206523Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6207018Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6207236Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6207397Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.6207504Z {
2022-11-23T01:32:29.6207679Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6207791Z     {
2022-11-23T01:32:29.6207925Z         #pragma omp for 
2022-11-23T01:32:29.6208237Z         for(long i0=0; i0<2016; i0+=1)
2022-11-23T01:32:29.6208361Z         {
2022-11-23T01:32:29.6208494Z             #pragma GCC ivdep
2022-11-23T01:32:29.6208638Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:32:29.6208745Z             {
2022-11-23T01:32:29.6208886Z                 #pragma GCC ivdep
2022-11-23T01:32:29.6209185Z                 for(long i2=0; i2<21; i2+=1)
2022-11-23T01:32:29.6209310Z                 {
2022-11-23T01:32:29.6209423Z                     {
2022-11-23T01:32:29.6209530Z                         {
2022-11-23T01:32:29.6209864Z                             auto tmp0 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:32:29.6210071Z                             auto tmp1 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:32:29.6210263Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:29.6210563Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:29.6210903Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:29.6211129Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:29.6211552Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:29.6211720Z                             auto tmp7 = static_cast<int>(11);
2022-11-23T01:32:29.6211902Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:29.6212079Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:32:29.6212244Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:32:29.6212405Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:32:29.6212583Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:32:29.6212836Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:32:29.6212999Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:32:29.6213204Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:32:29.6213360Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:32:29.6213538Z                             auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)];
2022-11-23T01:32:29.6213688Z                             auto tmp18 = tmp17 / 1;
2022-11-23T01:32:29.6213825Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:32:29.6213958Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:32:29.6214092Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:32:29.6214236Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:29.6214382Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:32:29.6214548Z                             out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23;
2022-11-23T01:32:29.6214661Z                         }
2022-11-23T01:32:29.6214777Z                     }
2022-11-23T01:32:29.6214888Z                 }
2022-11-23T01:32:29.6214989Z             }
2022-11-23T01:32:29.6215076Z         }
2022-11-23T01:32:29.6215174Z     }
2022-11-23T01:32:29.6215283Z }
2022-11-23T01:32:29.6215422Z ''')
2022-11-23T01:32:29.6215429Z 
2022-11-23T01:32:29.6215434Z 
2022-11-23T01:32:29.6215583Z async_compile.wait(globals())
2022-11-23T01:32:29.6215691Z del async_compile
2022-11-23T01:32:29.6215699Z 
2022-11-23T01:32:29.6215811Z def call(args):
2022-11-23T01:32:29.6215928Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6216026Z     args.clear()
2022-11-23T01:32:29.6216360Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6216568Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.6216675Z     del arg0_1
2022-11-23T01:32:29.6216790Z     return (buf0, )
2022-11-23T01:32:29.6216797Z 
2022-11-23T01:32:29.6216803Z 
2022-11-23T01:32:29.6216929Z if __name__ == "__main__":
2022-11-23T01:32:29.6217105Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6217288Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6217605Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6217915Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6218097Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6218105Z 
2022-11-23T01:32:29.6218210Z ok (1.763s)
2022-11-23T01:32:29.6218686Z   test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6219324Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6219760Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6220146Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6220534Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6221033Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6221535Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6222082Z [2022-11-23 01:22:21,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6222632Z [2022-11-23 01:22:21,778] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101> 
2022-11-23T01:32:29.6222778Z  4102           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6222951Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:29.6222964Z 
2022-11-23T01:32:29.6223093Z 4103           4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6223100Z 
2022-11-23T01:32:29.6223233Z 4104           6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6223240Z 
2022-11-23T01:32:29.6223380Z 4105           8 LOAD_CONST               1 (13)
2022-11-23T01:32:29.6223521Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:29.6223646Z               12 BUILD_LIST               2
2022-11-23T01:32:29.6223668Z 
2022-11-23T01:32:29.6223788Z 4106          14 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6223920Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6224052Z               18 BUILD_LIST               2
2022-11-23T01:32:29.6224060Z 
2022-11-23T01:32:29.6224195Z 4107          20 LOAD_CONST               3 (0)
2022-11-23T01:32:29.6224333Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:29.6224461Z               24 BUILD_LIST               2
2022-11-23T01:32:29.6224472Z 
2022-11-23T01:32:29.6224611Z 4108          26 LOAD_CONST               4 (True)
2022-11-23T01:32:29.6224617Z 
2022-11-23T01:32:29.6224750Z 4109          28 LOAD_CONST               5 (False)
2022-11-23T01:32:29.6224757Z 
2022-11-23T01:32:29.6224883Z 4110          30 LOAD_CONST               0 (None)
2022-11-23T01:32:29.6224892Z 
2022-11-23T01:32:29.6225030Z 4102          32 CALL_METHOD              8
2022-11-23T01:32:29.6225153Z               34 RETURN_VALUE
2022-11-23T01:32:29.6225260Z  
2022-11-23T01:32:29.6225268Z 
2022-11-23T01:32:29.6225758Z [2022-11-23 01:22:21,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:32:29.6226102Z [2022-11-23 01:22:21,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6226590Z [2022-11-23 01:22:21,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6227058Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4103
2022-11-23T01:32:29.6227464Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:29.6227887Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4104
2022-11-23T01:32:29.6228323Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:29.6228849Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4105
2022-11-23T01:32:29.6229325Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6229909Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6230617Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6231069Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4106
2022-11-23T01:32:29.6231585Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.6232135Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6232738Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6233191Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4107
2022-11-23T01:32:29.6233720Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6234327Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6235007Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6235452Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4108
2022-11-23T01:32:29.6236012Z [2022-11-23 01:22:21,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6236463Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4109
2022-11-23T01:32:29.6237095Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.6237537Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4110
2022-11-23T01:32:29.6238223Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:29.6238646Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:32:29.6239465Z [2022-11-23 01:22:21,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:29.6239866Z [2022-11-23 01:22:21,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6240385Z [2022-11-23 01:22:21,786] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101>
2022-11-23T01:32:29.6240735Z [2022-11-23 01:22:21,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6241058Z [2022-11-23 01:22:21,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6241430Z [2022-11-23 01:22:21,787] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6241850Z [2022-11-23 01:22:21,790] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6242113Z [2022-11-23 01:22:21,790] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6242321Z  __compiled_fn_34 <eval_with_key>.218 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6242467Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6242601Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6242876Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {}
2022-11-23T01:32:29.6243065Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:29.6243073Z 
2022-11-23T01:32:29.6243550Z [2022-11-23 01:22:21,792] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6243692Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6243821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6243954Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6244092Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6244227Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6244368Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6244489Z              12 RETURN_VALUE
2022-11-23T01:32:29.6244498Z 
2022-11-23T01:32:29.6244594Z  
2022-11-23T01:32:29.6245058Z [2022-11-23 01:22:21,792] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6245208Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_34)
2022-11-23T01:32:29.6245344Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6245483Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6245609Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6245755Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6245903Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6246023Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6246144Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6246286Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6246400Z              18 RETURN_VALUE
2022-11-23T01:32:29.6246407Z 
2022-11-23T01:32:29.6246508Z  
2022-11-23T01:32:29.6246770Z [2022-11-23 01:22:21,793] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6246881Z  - 
2022-11-23T01:32:29.6247056Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6247140Z             {
2022-11-23T01:32:29.6247345Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6247610Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6247797Z                 'obj_weakref': None
2022-11-23T01:32:29.6248179Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6248287Z             }
2022-11-23T01:32:29.6248393Z             
2022-11-23T01:32:29.6248508Z  - 
2022-11-23T01:32:29.6248674Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6248822Z             {
2022-11-23T01:32:29.6249027Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6249187Z                 'code': None,
2022-11-23T01:32:29.6249495Z                 'obj_weakref': <weakref at 0x7f2127a1ecf0; to 'Tensor' at 0x7f2068175f30>
2022-11-23T01:32:29.6249853Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6249953Z             }
2022-11-23T01:32:29.6250043Z             
2022-11-23T01:32:29.6250156Z  - 
2022-11-23T01:32:29.6250354Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6250460Z             {
2022-11-23T01:32:29.6250665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6250831Z                 'code': None,
2022-11-23T01:32:29.6251131Z                 'obj_weakref': <weakref at 0x7f2115dc6c50; to 'Tensor' at 0x7f20726c2ca0>
2022-11-23T01:32:29.6251464Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6251580Z             }
2022-11-23T01:32:29.6251683Z             
2022-11-23T01:32:29.6251792Z  - 
2022-11-23T01:32:29.6251989Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6252088Z             {
2022-11-23T01:32:29.6252285Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6252531Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.6252705Z                 'obj_weakref': None
2022-11-23T01:32:29.6253028Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6253135Z             }
2022-11-23T01:32:29.6253230Z             
2022-11-23T01:32:29.6253342Z  - 
2022-11-23T01:32:29.6253516Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6253616Z             {
2022-11-23T01:32:29.6253813Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6254119Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6254306Z                 'obj_weakref': None
2022-11-23T01:32:29.6254626Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6254728Z             }
2022-11-23T01:32:29.6254838Z             
2022-11-23T01:32:29.6254936Z  - 
2022-11-23T01:32:29.6255128Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6255225Z             {
2022-11-23T01:32:29.6255396Z                 'guard_types': None,
2022-11-23T01:32:29.6255554Z                 'code': None,
2022-11-23T01:32:29.6255731Z                 'obj_weakref': None
2022-11-23T01:32:29.6255910Z                 'guarded_class': None
2022-11-23T01:32:29.6255998Z             }
2022-11-23T01:32:29.6256113Z             
2022-11-23T01:32:29.6256499Z [2022-11-23 01:22:21,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33
2022-11-23T01:32:29.6256852Z [2022-11-23 01:22:21,799] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2022-11-23T01:32:29.6257367Z [2022-11-23 01:22:21,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj5zllq6mpxpaq5i4xadtuzkzzlzd6lujmlt7e5kerdk5fhkpek4.py
2022-11-23T01:32:29.6257749Z [2022-11-23 01:22:21,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33
2022-11-23T01:32:29.6257758Z 
2022-11-23T01:32:29.6257897Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6257997Z import torch
2022-11-23T01:32:29.6258096Z import random
2022-11-23T01:32:29.6258278Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6258457Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6258465Z 
2022-11-23T01:32:29.6258650Z aten = torch.ops.aten
2022-11-23T01:32:29.6380448Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6380754Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6380764Z 
2022-11-23T01:32:29.6381206Z import triton
2022-11-23T01:32:29.6381323Z import triton.language as tl
2022-11-23T01:32:29.6381507Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6381691Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6381698Z 
2022-11-23T01:32:29.6381705Z 
2022-11-23T01:32:29.6381829Z async_compile.wait(globals())
2022-11-23T01:32:29.6381934Z del async_compile
2022-11-23T01:32:29.6381941Z 
2022-11-23T01:32:29.6382043Z def call(args):
2022-11-23T01:32:29.6382151Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6382255Z     args.clear()
2022-11-23T01:32:29.6382435Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2022-11-23T01:32:29.6382536Z     del arg0_1
2022-11-23T01:32:29.6382633Z     del arg1_1
2022-11-23T01:32:29.6382736Z     buf1 = buf0
2022-11-23T01:32:29.6382883Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2022-11-23T01:32:29.6382978Z     del buf0
2022-11-23T01:32:29.6383087Z     return (buf1, )
2022-11-23T01:32:29.6383095Z 
2022-11-23T01:32:29.6383101Z 
2022-11-23T01:32:29.6383212Z if __name__ == "__main__":
2022-11-23T01:32:29.6383362Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6383538Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6383953Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6384242Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6384405Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6384412Z 
2022-11-23T01:32:29.6384514Z ok (0.029s)
2022-11-23T01:32:29.6384945Z   test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6385363Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6385645Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6385983Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6386355Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6386777Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6387244Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6387674Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6388166Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036> 
2022-11-23T01:32:29.6388302Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6388454Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:29.6388462Z 
2022-11-23T01:32:29.6388588Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6388595Z 
2022-11-23T01:32:29.6388723Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6388730Z 
2022-11-23T01:32:29.6388844Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T01:32:29.6388965Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:29.6389184Z               12 BUILD_LIST               2
2022-11-23T01:32:29.6389192Z 
2022-11-23T01:32:29.6389323Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T01:32:29.6389445Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:29.6389665Z               18 BUILD_LIST               2
2022-11-23T01:32:29.6389672Z 
2022-11-23T01:32:29.6389791Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T01:32:29.6389912Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:29.6390020Z               24 BUILD_LIST               2
2022-11-23T01:32:29.6390027Z 
2022-11-23T01:32:29.6390155Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T01:32:29.6390162Z 
2022-11-23T01:32:29.6390399Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T01:32:29.6390406Z 
2022-11-23T01:32:29.6390532Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T01:32:29.6390539Z 
2022-11-23T01:32:29.6390663Z 4037          32 CALL_METHOD              8
2022-11-23T01:32:29.6390784Z               34 RETURN_VALUE
2022-11-23T01:32:29.6390873Z  
2022-11-23T01:32:29.6390880Z 
2022-11-23T01:32:29.6391317Z [2022-11-23 01:22:21,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:29.6391621Z [2022-11-23 01:22:21,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6392044Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6392468Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038
2022-11-23T01:32:29.6392831Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:29.6393248Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039
2022-11-23T01:32:29.6393641Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:29.6394048Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040
2022-11-23T01:32:29.6394486Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6394978Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6395506Z [2022-11-23 01:22:21,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6395922Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041
2022-11-23T01:32:29.6396393Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.6396905Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6397473Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6397943Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042
2022-11-23T01:32:29.6398455Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6399049Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6399642Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6400059Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043
2022-11-23T01:32:29.6400599Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.6401017Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044
2022-11-23T01:32:29.6401608Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.6402028Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045
2022-11-23T01:32:29.6402670Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:29.6403080Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:29.6403777Z [2022-11-23 01:22:21,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:29.6404115Z [2022-11-23 01:22:21,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6404609Z [2022-11-23 01:22:21,814] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036>
2022-11-23T01:32:29.6404938Z [2022-11-23 01:22:21,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6405242Z [2022-11-23 01:22:21,814] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6405582Z [2022-11-23 01:22:21,815] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6405917Z [2022-11-23 01:22:21,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6406166Z [2022-11-23 01:22:21,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6406347Z  __compiled_fn_35 <eval_with_key>.224 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6406471Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6406593Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6406824Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T01:32:29.6407038Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:29.6407047Z 
2022-11-23T01:32:29.6407464Z [2022-11-23 01:22:21,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6407642Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6407769Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6407887Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6408018Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6408135Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6408257Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6408364Z              12 RETURN_VALUE
2022-11-23T01:32:29.6408371Z 
2022-11-23T01:32:29.6408448Z  
2022-11-23T01:32:29.6408889Z [2022-11-23 01:22:21,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6409039Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_35)
2022-11-23T01:32:29.6409164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6409293Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6409403Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6409530Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6409652Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6409750Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6409872Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6410000Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6410110Z              18 RETURN_VALUE
2022-11-23T01:32:29.6410118Z 
2022-11-23T01:32:29.6410213Z  
2022-11-23T01:32:29.6410470Z [2022-11-23 01:22:21,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6410573Z  - 
2022-11-23T01:32:29.6410727Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6410822Z             {
2022-11-23T01:32:29.6411014Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6411262Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6411432Z                 'obj_weakref': None
2022-11-23T01:32:29.6411725Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6411820Z             }
2022-11-23T01:32:29.6411901Z             
2022-11-23T01:32:29.6412005Z  - 
2022-11-23T01:32:29.6412179Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6412275Z             {
2022-11-23T01:32:29.6412467Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6412617Z                 'code': None,
2022-11-23T01:32:29.6412889Z                 'obj_weakref': <weakref at 0x7f2115a884f0; to 'Tensor' at 0x7f20682c53a0>
2022-11-23T01:32:29.6413205Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6413299Z             }
2022-11-23T01:32:29.6413398Z             
2022-11-23T01:32:29.6413503Z  - 
2022-11-23T01:32:29.6413671Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6413764Z             {
2022-11-23T01:32:29.6413953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6414091Z                 'code': None,
2022-11-23T01:32:29.6414358Z                 'obj_weakref': <weakref at 0x7f20680bc950; to 'Tensor' at 0x7f2068175f30>
2022-11-23T01:32:29.6414684Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6414781Z             }
2022-11-23T01:32:29.6414869Z             
2022-11-23T01:32:29.6414972Z  - 
2022-11-23T01:32:29.6415148Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6415229Z             {
2022-11-23T01:32:29.6415412Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6415701Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.6415872Z                 'obj_weakref': None
2022-11-23T01:32:29.6416172Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6416307Z             }
2022-11-23T01:32:29.6416397Z             
2022-11-23T01:32:29.6416492Z  - 
2022-11-23T01:32:29.6416654Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6416745Z             {
2022-11-23T01:32:29.6416928Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6417223Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6417393Z                 'obj_weakref': None
2022-11-23T01:32:29.6417685Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6417769Z             }
2022-11-23T01:32:29.6417864Z             
2022-11-23T01:32:29.6417969Z  - 
2022-11-23T01:32:29.6418150Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6418248Z             {
2022-11-23T01:32:29.6418418Z                 'guard_types': None,
2022-11-23T01:32:29.6418568Z                 'code': None,
2022-11-23T01:32:29.6418717Z                 'obj_weakref': None
2022-11-23T01:32:29.6540743Z                 'guarded_class': None
2022-11-23T01:32:29.6540950Z             }
2022-11-23T01:32:29.6541049Z             
2022-11-23T01:32:29.6541636Z [2022-11-23 01:22:21,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34
2022-11-23T01:32:29.6542140Z [2022-11-23 01:22:23,539] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/coff2pw3yuybwjua5avx4sa37gize2fjidrbsvaqqf4gemvu5kst.py
2022-11-23T01:32:29.6542501Z [2022-11-23 01:22:23,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34
2022-11-23T01:32:29.6542513Z 
2022-11-23T01:32:29.6542653Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6542742Z import torch
2022-11-23T01:32:29.6542843Z import random
2022-11-23T01:32:29.6543016Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6543183Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6543190Z 
2022-11-23T01:32:29.6543310Z aten = torch.ops.aten
2022-11-23T01:32:29.6543495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6543628Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6543635Z 
2022-11-23T01:32:29.6543749Z import triton
2022-11-23T01:32:29.6543888Z import triton.language as tl
2022-11-23T01:32:29.6544052Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6544241Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6544249Z 
2022-11-23T01:32:29.6544256Z 
2022-11-23T01:32:29.6544450Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6544717Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6544896Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6545046Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.6545134Z {
2022-11-23T01:32:29.6545258Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6545351Z     {
2022-11-23T01:32:29.6545459Z         #pragma omp for 
2022-11-23T01:32:29.6545579Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.6545672Z         {
2022-11-23T01:32:29.6545781Z             #pragma GCC ivdep
2022-11-23T01:32:29.6545892Z             for(long i1=0; i1<14; i1+=1)
2022-11-23T01:32:29.6545988Z             {
2022-11-23T01:32:29.6546109Z                 #pragma GCC ivdep
2022-11-23T01:32:29.6546229Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:32:29.6546322Z                 {
2022-11-23T01:32:29.6546425Z                     {
2022-11-23T01:32:29.6546524Z                         {
2022-11-23T01:32:29.6546664Z                             auto tmp0 = static_cast<int>((i1 / 2));
2022-11-23T01:32:29.6547076Z                             auto tmp1 = static_cast<int>((i2 / 2));
2022-11-23T01:32:29.6547268Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:29.6547430Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:29.6547647Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:29.6547833Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:29.6547980Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:29.6548122Z                             auto tmp7 = static_cast<int>(7);
2022-11-23T01:32:29.6548257Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:29.6548411Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:32:29.6548544Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:32:29.6548674Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:32:29.6548829Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:32:29.6549043Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:32:29.6549191Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:32:29.6549398Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:32:29.6549534Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:32:29.6549700Z                             auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)];
2022-11-23T01:32:29.6549830Z                             auto tmp18 = tmp17 / 4;
2022-11-23T01:32:29.6549967Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:32:29.6550103Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:32:29.6550235Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:32:29.6550485Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:29.6550621Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:32:29.6550777Z                             out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23;
2022-11-23T01:32:29.6550871Z                         }
2022-11-23T01:32:29.6550973Z                     }
2022-11-23T01:32:29.6551068Z                 }
2022-11-23T01:32:29.6551172Z             }
2022-11-23T01:32:29.6551262Z         }
2022-11-23T01:32:29.6551341Z     }
2022-11-23T01:32:29.6551431Z }
2022-11-23T01:32:29.6551550Z ''')
2022-11-23T01:32:29.6551557Z 
2022-11-23T01:32:29.6551563Z 
2022-11-23T01:32:29.6551689Z async_compile.wait(globals())
2022-11-23T01:32:29.6551791Z del async_compile
2022-11-23T01:32:29.6551797Z 
2022-11-23T01:32:29.6551902Z def call(args):
2022-11-23T01:32:29.6552011Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6552113Z     args.clear()
2022-11-23T01:32:29.6552387Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6552572Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.6552672Z     del arg0_1
2022-11-23T01:32:29.6552776Z     return (buf0, )
2022-11-23T01:32:29.6552783Z 
2022-11-23T01:32:29.6552789Z 
2022-11-23T01:32:29.6552902Z if __name__ == "__main__":
2022-11-23T01:32:29.6553052Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6553225Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6553502Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6553771Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6553932Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6553939Z 
2022-11-23T01:32:29.6554037Z ok (1.738s)
2022-11-23T01:32:29.6554432Z   test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6554898Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6555200Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6555534Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6555934Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6556358Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6556792Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6557223Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6557737Z [2022-11-23 01:22:23,545] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409> 
2022-11-23T01:32:29.6557873Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6558006Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T01:32:29.6558137Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6558264Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6558391Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:29.6558516Z               10 CALL_METHOD              3
2022-11-23T01:32:29.6558614Z               12 RETURN_VALUE
2022-11-23T01:32:29.6558703Z  
2022-11-23T01:32:29.6558710Z 
2022-11-23T01:32:29.6559124Z [2022-11-23 01:22:23,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410
2022-11-23T01:32:29.6559419Z [2022-11-23 01:22:23,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6559822Z [2022-11-23 01:22:23,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6560160Z [2022-11-23 01:22:23,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T01:32:29.6560523Z [2022-11-23 01:22:23,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T01:32:29.6560926Z [2022-11-23 01:22:23,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6561371Z [2022-11-23 01:22:23,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6561700Z [2022-11-23 01:22:23,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6562189Z [2022-11-23 01:22:23,553] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409>
2022-11-23T01:32:29.6562522Z [2022-11-23 01:22:23,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6562852Z [2022-11-23 01:22:23,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6563194Z [2022-11-23 01:22:23,554] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6563524Z [2022-11-23 01:22:23,556] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6563776Z [2022-11-23 01:22:23,556] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6564004Z  __compiled_fn_36 <eval_with_key>.230 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6564142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6564264Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6564374Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.6564576Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T01:32:29.6564719Z output, output, output, ((baddbmm,),), {}
2022-11-23T01:32:29.6564726Z 
2022-11-23T01:32:29.6565158Z [2022-11-23 01:22:23,557] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6565291Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6565414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6565543Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6565667Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6565774Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6565902Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6566018Z              12 RETURN_VALUE
2022-11-23T01:32:29.6566025Z 
2022-11-23T01:32:29.6566109Z  
2022-11-23T01:32:29.6566531Z [2022-11-23 01:22:23,557] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6566685Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_36)
2022-11-23T01:32:29.6566808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6566927Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6567022Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6567145Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6567273Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6567381Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6567503Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6567622Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.6567732Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.6567844Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.6567970Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6568082Z              24 RETURN_VALUE
2022-11-23T01:32:29.6568089Z 
2022-11-23T01:32:29.6568175Z  
2022-11-23T01:32:29.6568421Z [2022-11-23 01:22:23,558] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6568533Z  - 
2022-11-23T01:32:29.6568693Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6568777Z             {
2022-11-23T01:32:29.6568964Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6569214Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.6569373Z                 'obj_weakref': None
2022-11-23T01:32:29.6569668Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6569764Z             }
2022-11-23T01:32:29.6569863Z             
2022-11-23T01:32:29.6569957Z  - 
2022-11-23T01:32:29.6570131Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6570226Z             {
2022-11-23T01:32:29.6570428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6570581Z                 'code': None,
2022-11-23T01:32:29.6570859Z                 'obj_weakref': <weakref at 0x7f2127a1f9c0; to 'Tensor' at 0x7f20682fe7f0>
2022-11-23T01:32:29.6571183Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6571265Z             }
2022-11-23T01:32:29.6571358Z             
2022-11-23T01:32:29.6571460Z  - 
2022-11-23T01:32:29.6571628Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6571726Z             {
2022-11-23T01:32:29.6571914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6572069Z                 'code': None,
2022-11-23T01:32:29.6572328Z                 'obj_weakref': <weakref at 0x7f206070fec0; to 'Tensor' at 0x7f207277c450>
2022-11-23T01:32:29.6572706Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6572802Z             }
2022-11-23T01:32:29.6572892Z             
2022-11-23T01:32:29.6573033Z  - 
2022-11-23T01:32:29.6573200Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.6573289Z             {
2022-11-23T01:32:29.6573465Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6573615Z                 'code': None,
2022-11-23T01:32:29.6573902Z                 'obj_weakref': <weakref at 0x7f206070fbf0; to 'Tensor' at 0x7f206802b9c0>
2022-11-23T01:32:29.6574211Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6574310Z             }
2022-11-23T01:32:29.6574402Z             
2022-11-23T01:32:29.6574507Z  - 
2022-11-23T01:32:29.6574672Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6574767Z             {
2022-11-23T01:32:29.6574957Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6575184Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:29.6575348Z                 'obj_weakref': None
2022-11-23T01:32:29.6575657Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6575747Z             }
2022-11-23T01:32:29.6575839Z             
2022-11-23T01:32:29.6575928Z  - 
2022-11-23T01:32:29.6576092Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6576188Z             {
2022-11-23T01:32:29.6576374Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6576660Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6576823Z                 'obj_weakref': None
2022-11-23T01:32:29.6577119Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6577200Z             }
2022-11-23T01:32:29.6577294Z             
2022-11-23T01:32:29.6577396Z  - 
2022-11-23T01:32:29.6577579Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6577677Z             {
2022-11-23T01:32:29.6577846Z                 'guard_types': None,
2022-11-23T01:32:29.6577983Z                 'code': None,
2022-11-23T01:32:29.6578157Z                 'obj_weakref': None
2022-11-23T01:32:29.6578325Z                 'guarded_class': None
2022-11-23T01:32:29.6578396Z             }
2022-11-23T01:32:29.6578464Z             
2022-11-23T01:32:29.6578731Z [2022-11-23 01:22:23,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35
2022-11-23T01:32:29.6579325Z [2022-11-23 01:22:25,151] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cviuhba6he55vpihdyfn6gqnqnxolntyvtevbluavjuleqoolqwa.py
2022-11-23T01:32:29.6579591Z [2022-11-23 01:22:25,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35
2022-11-23T01:32:29.6579597Z 
2022-11-23T01:32:29.6579693Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6579769Z import torch
2022-11-23T01:32:29.6579845Z import random
2022-11-23T01:32:29.6579967Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6580101Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6580107Z 
2022-11-23T01:32:29.6580190Z aten = torch.ops.aten
2022-11-23T01:32:29.6580330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6580429Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6580434Z 
2022-11-23T01:32:29.6580501Z import triton
2022-11-23T01:32:29.6580595Z import triton.language as tl
2022-11-23T01:32:29.6580724Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6580870Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6580876Z 
2022-11-23T01:32:29.6580881Z 
2022-11-23T01:32:29.6581020Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6581306Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6581434Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.6581551Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:29.6581640Z {
2022-11-23T01:32:29.6581745Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6581814Z     {
2022-11-23T01:32:29.6581910Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.6582002Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:29.6651954Z         {
2022-11-23T01:32:29.6652173Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:29.6652239Z             {
2022-11-23T01:32:29.6652339Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:29.6652408Z                 {
2022-11-23T01:32:29.6652589Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T01:32:29.6652766Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:29.6652867Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6652993Z                     tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:29.6653073Z                 }
2022-11-23T01:32:29.6653172Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.6653269Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:32:29.6653340Z                 {
2022-11-23T01:32:29.6653447Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:32:29.6653571Z                     auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)];
2022-11-23T01:32:29.6653668Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6653784Z                     in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2;
2022-11-23T01:32:29.6653849Z                 }
2022-11-23T01:32:29.6653917Z             }
2022-11-23T01:32:29.6653987Z         }
2022-11-23T01:32:29.6654053Z     }
2022-11-23T01:32:29.6654118Z }
2022-11-23T01:32:29.6654270Z ''')
2022-11-23T01:32:29.6654279Z 
2022-11-23T01:32:29.6654284Z 
2022-11-23T01:32:29.6654381Z async_compile.wait(globals())
2022-11-23T01:32:29.6654453Z del async_compile
2022-11-23T01:32:29.6654458Z 
2022-11-23T01:32:29.6654538Z def call(args):
2022-11-23T01:32:29.6654633Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.6654707Z     args.clear()
2022-11-23T01:32:29.6654943Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6655049Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:29.6655121Z     del arg1_1
2022-11-23T01:32:29.6655187Z     del arg2_1
2022-11-23T01:32:29.6655280Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.6655422Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:29.6655494Z     del arg0_1
2022-11-23T01:32:29.6655571Z     return (buf1, )
2022-11-23T01:32:29.6655576Z 
2022-11-23T01:32:29.6655581Z 
2022-11-23T01:32:29.6655663Z if __name__ == "__main__":
2022-11-23T01:32:29.6655785Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6655909Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6656123Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6656339Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6656557Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6656685Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.6656691Z 
2022-11-23T01:32:29.6656765Z ok (1.613s)
2022-11-23T01:32:29.6657076Z   test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6657393Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6657888Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6658130Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:29.6658447Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:29.6658756Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6659312Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6659623Z [2022-11-23 01:22:25,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6659876Z [2022-11-23 01:22:25,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6660112Z [2022-11-23 01:22:25,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6660371Z [2022-11-23 01:22:25,173] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6660622Z [2022-11-23 01:22:25,184] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6660817Z [2022-11-23 01:22:25,184] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6660952Z  __compiled_fn_37 <eval_with_key>.236 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6661048Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6661151Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:29.6661260Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:29.6661365Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:29.6661370Z 
2022-11-23T01:32:29.6661696Z [2022-11-23 01:22:25,185] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6661797Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6661897Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6661985Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6662086Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6662175Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6662270Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6662350Z              12 RETURN_VALUE
2022-11-23T01:32:29.6662355Z 
2022-11-23T01:32:29.6662421Z  
2022-11-23T01:32:29.6662748Z [2022-11-23 01:22:25,185] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6662859Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_37)
2022-11-23T01:32:29.6662961Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6663057Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6663140Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6663238Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.6663331Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6663415Z              12 RETURN_VALUE
2022-11-23T01:32:29.6663420Z 
2022-11-23T01:32:29.6663486Z  
2022-11-23T01:32:29.6663668Z [2022-11-23 01:22:25,185] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6663744Z  - 
2022-11-23T01:32:29.6663873Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6663942Z             {
2022-11-23T01:32:29.6664088Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6664279Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.6664404Z                 'obj_weakref': None
2022-11-23T01:32:29.6664670Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6664745Z             }
2022-11-23T01:32:29.6664811Z             
2022-11-23T01:32:29.6664886Z  - 
2022-11-23T01:32:29.6665047Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6665114Z             {
2022-11-23T01:32:29.6665261Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6665367Z                 'code': None,
2022-11-23T01:32:29.6665582Z                 'obj_weakref': <weakref at 0x7f20681b6020; to 'Tensor' at 0x7f21276a77e0>
2022-11-23T01:32:29.6665832Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6665901Z             }
2022-11-23T01:32:29.6665969Z             
2022-11-23T01:32:29.6666044Z  - 
2022-11-23T01:32:29.6666173Z             local 'model' NN_MODULE
2022-11-23T01:32:29.6666236Z             {
2022-11-23T01:32:29.6666376Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6666557Z                 'code': ['___check_obj_id(model, 139780386381568)'],
2022-11-23T01:32:29.6666780Z                 'obj_weakref': <weakref at 0x7f2127a1ede0; to 'Sequential' at 0x7f212846df00>
2022-11-23T01:32:29.6667021Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:29.6667091Z             }
2022-11-23T01:32:29.6667156Z             
2022-11-23T01:32:29.6667225Z  - 
2022-11-23T01:32:29.6667350Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6667420Z             {
2022-11-23T01:32:29.6667561Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6667782Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6667905Z                 'obj_weakref': None
2022-11-23T01:32:29.6668129Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6668191Z             }
2022-11-23T01:32:29.6668265Z             
2022-11-23T01:32:29.6668339Z  - 
2022-11-23T01:32:29.6668487Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:29.6668554Z             {
2022-11-23T01:32:29.6668675Z                 'guard_types': None,
2022-11-23T01:32:29.6668787Z                 'code': None,
2022-11-23T01:32:29.6668902Z                 'obj_weakref': None
2022-11-23T01:32:29.6669025Z                 'guarded_class': None
2022-11-23T01:32:29.6669092Z             }
2022-11-23T01:32:29.6669157Z             
2022-11-23T01:32:29.6669230Z  - 
2022-11-23T01:32:29.6669380Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:29.6669441Z             {
2022-11-23T01:32:29.6669563Z                 'guard_types': None,
2022-11-23T01:32:29.6669673Z                 'code': None,
2022-11-23T01:32:29.6669796Z                 'obj_weakref': None
2022-11-23T01:32:29.6669920Z                 'guarded_class': None
2022-11-23T01:32:29.6669988Z             }
2022-11-23T01:32:29.6670055Z             
2022-11-23T01:32:29.6670405Z [2022-11-23 01:22:25,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36
2022-11-23T01:32:29.6670805Z [2022-11-23 01:22:26,953] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ir/cirzerulq6db6zqqy6vhit4ahryjsrj3i7m4nb656bdwd7cizpad.py
2022-11-23T01:32:29.6671071Z [2022-11-23 01:22:26,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36
2022-11-23T01:32:29.6671310Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6671620Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6671838Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6672085Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:29.6672387Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:29.6672694Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6673053Z [2022-11-23 01:22:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6673355Z [2022-11-23 01:22:26,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6673603Z [2022-11-23 01:22:26,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6673838Z [2022-11-23 01:22:26,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6674095Z [2022-11-23 01:22:26,972] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6674343Z [2022-11-23 01:22:26,985] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6674538Z [2022-11-23 01:22:26,985] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6674678Z  __compiled_fn_38 <eval_with_key>.247 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6674772Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6674874Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:29.6674977Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:29.6675080Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:29.6675086Z 
2022-11-23T01:32:29.6675410Z [2022-11-23 01:22:26,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6675510Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6675608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6675699Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6675796Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6675886Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6675979Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6676058Z              12 RETURN_VALUE
2022-11-23T01:32:29.6676064Z 
2022-11-23T01:32:29.6676128Z  
2022-11-23T01:32:29.6676448Z [2022-11-23 01:22:26,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6676560Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_38)
2022-11-23T01:32:29.6676654Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6676749Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6676825Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6676922Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.6677021Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6677101Z              12 RETURN_VALUE
2022-11-23T01:32:29.6677107Z 
2022-11-23T01:32:29.6677171Z  
2022-11-23T01:32:29.6677360Z [2022-11-23 01:22:26,986] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6677433Z  - 
2022-11-23T01:32:29.6677551Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6677618Z             {
2022-11-23T01:32:29.6677763Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6677953Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.6678076Z                 'obj_weakref': None
2022-11-23T01:32:29.6678301Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6678367Z             }
2022-11-23T01:32:29.6678429Z             
2022-11-23T01:32:29.6678502Z  - 
2022-11-23T01:32:29.6678626Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6678723Z             {
2022-11-23T01:32:29.6678873Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6678980Z                 'code': None,
2022-11-23T01:32:29.6679187Z                 'obj_weakref': <weakref at 0x7f2072810310; to 'Tensor' at 0x7f21276a77e0>
2022-11-23T01:32:29.6679456Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6679527Z             }
2022-11-23T01:32:29.6679594Z             
2022-11-23T01:32:29.6679668Z  - 
2022-11-23T01:32:29.6679792Z             local 'model' NN_MODULE
2022-11-23T01:32:29.6679858Z             {
2022-11-23T01:32:29.6679996Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6680166Z                 'code': ['___check_obj_id(model, 139780386381568)'],
2022-11-23T01:32:29.6680384Z                 'obj_weakref': <weakref at 0x7f2115f5a8e0; to 'Sequential' at 0x7f212846df00>
2022-11-23T01:32:29.6680619Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:29.6680687Z             }
2022-11-23T01:32:29.6680755Z             
2022-11-23T01:32:29.6680827Z  - 
2022-11-23T01:32:29.6680951Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6681017Z             {
2022-11-23T01:32:29.6681156Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6681374Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6681493Z                 'obj_weakref': None
2022-11-23T01:32:29.6681715Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6681782Z             }
2022-11-23T01:32:29.6681855Z             
2022-11-23T01:32:29.6681924Z  - 
2022-11-23T01:32:29.6682096Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:29.6682176Z             {
2022-11-23T01:32:29.6682312Z                 'guard_types': None,
2022-11-23T01:32:29.6682424Z                 'code': None,
2022-11-23T01:32:29.6682542Z                 'obj_weakref': None
2022-11-23T01:32:29.6682666Z                 'guarded_class': None
2022-11-23T01:32:29.6682728Z             }
2022-11-23T01:32:29.6682798Z             
2022-11-23T01:32:29.6682871Z  - 
2022-11-23T01:32:29.6683017Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:29.6683083Z             {
2022-11-23T01:32:29.6683207Z                 'guard_types': None,
2022-11-23T01:32:29.6683315Z                 'code': None,
2022-11-23T01:32:29.6683429Z                 'obj_weakref': None
2022-11-23T01:32:29.6683550Z                 'guarded_class': None
2022-11-23T01:32:29.6683617Z             }
2022-11-23T01:32:29.6683683Z             
2022-11-23T01:32:29.6683938Z [2022-11-23 01:22:27,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37
2022-11-23T01:32:29.6683944Z 
2022-11-23T01:32:29.6684041Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6684116Z import torch
2022-11-23T01:32:29.6684186Z import random
2022-11-23T01:32:29.6684307Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6684433Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6684441Z 
2022-11-23T01:32:29.6684523Z aten = torch.ops.aten
2022-11-23T01:32:29.6684663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6684760Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6684765Z 
2022-11-23T01:32:29.6684838Z import triton
2022-11-23T01:32:29.6684929Z import triton.language as tl
2022-11-23T01:32:29.6685051Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6685192Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6685198Z 
2022-11-23T01:32:29.6685202Z 
2022-11-23T01:32:29.6685336Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6685545Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6685702Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6685816Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.6685924Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.6686057Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:29.6686160Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:29.6686264Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.6686365Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.6686429Z {
2022-11-23T01:32:29.6686530Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6686594Z     {
2022-11-23T01:32:29.6686689Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.6686770Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.6686837Z         {
2022-11-23T01:32:29.6686929Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:29.6686996Z             {
2022-11-23T01:32:29.6687092Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:29.6687160Z                 {
2022-11-23T01:32:29.6687319Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T01:32:29.6687452Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:32:29.6687583Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:29.6687717Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:32:29.6687850Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:32:29.6687992Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.6688200Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:29.6688297Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:29.6688392Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:29.6688493Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:29.6688638Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.6688730Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.6688829Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:29.6688931Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:29.6689029Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:29.6689168Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:32:29.6689284Z                     tmp15.store(out_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T01:32:29.6689349Z                 }
2022-11-23T01:32:29.6689447Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.6689539Z                 for(long i2=64; i2<64; i2+=1)
2022-11-23T01:32:29.6689606Z                 {
2022-11-23T01:32:29.6689719Z                     auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)];
2022-11-23T01:32:29.6689814Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:29.6689908Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:29.6690000Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:32:29.6690095Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:32:29.6690234Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.6690394Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:29.6690490Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:29.6690594Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:29.6690684Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:32:29.6690787Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:29.6690880Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.6690975Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:29.6691073Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:29.6691171Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:29.6691301Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:32:29.6691414Z                     out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15;
2022-11-23T01:32:29.6691478Z                 }
2022-11-23T01:32:29.6691569Z             }
2022-11-23T01:32:29.6691634Z         }
2022-11-23T01:32:29.6691716Z         #pragma omp for 
2022-11-23T01:32:29.6691804Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T01:32:29.6691871Z         {
2022-11-23T01:32:29.6691935Z             {
2022-11-23T01:32:29.6691998Z                 {
2022-11-23T01:32:29.6692095Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:29.6692204Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:29.6692299Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:29.6692392Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.6692463Z                 }
2022-11-23T01:32:29.6692532Z             }
2022-11-23T01:32:29.6692593Z         }
2022-11-23T01:32:29.6692658Z     }
2022-11-23T01:32:29.6692726Z }
2022-11-23T01:32:29.6692811Z ''')
2022-11-23T01:32:29.6692817Z 
2022-11-23T01:32:29.6692821Z 
2022-11-23T01:32:29.6692915Z async_compile.wait(globals())
2022-11-23T01:32:29.6692991Z del async_compile
2022-11-23T01:32:29.6693000Z 
2022-11-23T01:32:29.6693076Z def call(args):
2022-11-23T01:32:29.6693216Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:29.6693293Z     args.clear()
2022-11-23T01:32:29.6693507Z     buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6693716Z     buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6693998Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.6694075Z     del primals_1
2022-11-23T01:32:29.6694152Z     del primals_2
2022-11-23T01:32:29.6694277Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:29.6694283Z 
2022-11-23T01:32:29.6694287Z 
2022-11-23T01:32:29.6694366Z if __name__ == "__main__":
2022-11-23T01:32:29.6694483Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6694608Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6694808Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6695006Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6695204Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6695395Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6695582Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.6695798Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6695978Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:29.6695984Z 
2022-11-23T01:32:29.6696344Z [2022-11-23 01:22:28,703] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gt/cgttcmzmyxb4tk54asvicp2d5kkgnuakx27yyd4td3a7faew2bmm.py
2022-11-23T01:32:29.6696608Z [2022-11-23 01:22:28,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37
2022-11-23T01:32:29.6696614Z 
2022-11-23T01:32:29.6696711Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6696785Z import torch
2022-11-23T01:32:29.6696859Z import random
2022-11-23T01:32:29.6696979Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6697102Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6697107Z 
2022-11-23T01:32:29.6697184Z aten = torch.ops.aten
2022-11-23T01:32:29.6697324Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6697485Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6697491Z 
2022-11-23T01:32:29.6697567Z import triton
2022-11-23T01:32:29.6697657Z import triton.language as tl
2022-11-23T01:32:29.6697818Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6697961Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6697967Z 
2022-11-23T01:32:29.6697972Z 
2022-11-23T01:32:29.6698110Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6698311Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6698437Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6698546Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.6698655Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.6698764Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:29.6699061Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:29.6699167Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.6699268Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.6699331Z {
2022-11-23T01:32:29.6699434Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6699498Z     {
2022-11-23T01:32:29.6699591Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.6699675Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:29.6699744Z         {
2022-11-23T01:32:29.6699830Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:29.6699900Z             {
2022-11-23T01:32:29.6699997Z                 for(long i2=0; i2<32; i2+=1)
2022-11-23T01:32:29.6700063Z                 {
2022-11-23T01:32:29.6700225Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T01:32:29.6700360Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:32:29.6700496Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:29.6700626Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:32:29.6700753Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:32:29.6700898Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.6701105Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:29.6701201Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:29.6701298Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:29.6701404Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:29.6701547Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.6701645Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.6701736Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:29.6701835Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:29.6701934Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:29.6702074Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:32:29.6702195Z                     tmp15.store(out_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T01:32:29.6702264Z                 }
2022-11-23T01:32:29.6702364Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.6702455Z                 for(long i2=256; i2<256; i2+=1)
2022-11-23T01:32:29.6702523Z                 {
2022-11-23T01:32:29.6702636Z                     auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)];
2022-11-23T01:32:29.6702729Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:29.6702822Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:29.6702918Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:32:29.6703014Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:32:29.6703150Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.6703366Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:29.6703463Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:29.6703570Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:29.6703689Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:32:29.6703799Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:29.6703892Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.6703988Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:29.6704081Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:29.6704182Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:29.6704286Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:32:29.6704393Z                     out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15;
2022-11-23T01:32:29.6704462Z                 }
2022-11-23T01:32:29.6704529Z             }
2022-11-23T01:32:29.6704596Z         }
2022-11-23T01:32:29.6704672Z         #pragma omp for 
2022-11-23T01:32:29.6704760Z         for(long i0=0; i0<7680; i0+=1)
2022-11-23T01:32:29.6704826Z         {
2022-11-23T01:32:29.6704892Z             {
2022-11-23T01:32:29.6704959Z                 {
2022-11-23T01:32:29.6705061Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:29.6705168Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:29.6705259Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:29.6705349Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.6705420Z                 }
2022-11-23T01:32:29.6705489Z             }
2022-11-23T01:32:29.6705558Z         }
2022-11-23T01:32:29.6705624Z     }
2022-11-23T01:32:29.6705682Z }
2022-11-23T01:32:29.6705770Z ''')
2022-11-23T01:32:29.6705776Z 
2022-11-23T01:32:29.6705781Z 
2022-11-23T01:32:29.6705877Z async_compile.wait(globals())
2022-11-23T01:32:29.6705955Z del async_compile
2022-11-23T01:32:29.6705960Z 
2022-11-23T01:32:29.6706034Z def call(args):
2022-11-23T01:32:29.6706183Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:29.6706265Z     args.clear()
2022-11-23T01:32:29.6706487Z     buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6706699Z     buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6706980Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.6707056Z     del primals_1
2022-11-23T01:32:29.6707132Z     del primals_2
2022-11-23T01:32:29.6707259Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:29.6707264Z 
2022-11-23T01:32:29.6707269Z 
2022-11-23T01:32:29.6707351Z if __name__ == "__main__":
2022-11-23T01:32:29.6707469Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6707602Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6707797Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6707998Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6708202Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6708400Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6708590Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.6708816Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6708996Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:29.6709002Z 
2022-11-23T01:32:29.6709077Z ok (3.566s)
2022-11-23T01:32:29.6709419Z   test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6709729Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6709974Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6710232Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6710616Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6710971Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6711314Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6711637Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6712015Z [2022-11-23 01:22:28,722] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578> 
2022-11-23T01:32:29.6712122Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6712231Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T01:32:29.6712324Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6712421Z                6 CALL_METHOD              1
2022-11-23T01:32:29.6712517Z                8 STORE_FAST               1 (b)
2022-11-23T01:32:29.6712523Z 
2022-11-23T01:32:29.6712622Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:29.6712731Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T01:32:29.6712830Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6712924Z               16 CALL_METHOD              1
2022-11-23T01:32:29.6713012Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6713108Z               20 BUILD_TUPLE              2
2022-11-23T01:32:29.6713191Z               22 RETURN_VALUE
2022-11-23T01:32:29.6713258Z  
2022-11-23T01:32:29.6713263Z 
2022-11-23T01:32:29.6713574Z [2022-11-23 01:22:28,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579
2022-11-23T01:32:29.6713796Z [2022-11-23 01:22:28,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6714167Z [2022-11-23 01:22:28,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6714495Z [2022-11-23 01:22:28,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6714847Z [2022-11-23 01:22:28,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6715088Z [2022-11-23 01:22:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:29.6715391Z [2022-11-23 01:22:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580
2022-11-23T01:32:29.6715610Z [2022-11-23 01:22:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6715916Z [2022-11-23 01:22:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6716210Z [2022-11-23 01:22:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T01:32:29.6716504Z [2022-11-23 01:22:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T01:32:29.6716767Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.6717035Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6717283Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6717655Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578>
2022-11-23T01:32:29.6717902Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6718134Z [2022-11-23 01:22:28,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6718389Z [2022-11-23 01:22:28,732] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6718640Z [2022-11-23 01:22:28,735] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6718830Z [2022-11-23 01:22:28,735] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6718973Z  __compiled_fn_39 <eval_with_key>.258 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6719067Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6719311Z call_function, empty_like, <built-in method empty_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.6719450Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T01:32:29.6719569Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T01:32:29.6719582Z 
2022-11-23T01:32:29.6719901Z [2022-11-23 01:22:28,736] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6720001Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6720102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6720195Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6720295Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6720387Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6720484Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6720559Z              12 RETURN_VALUE
2022-11-23T01:32:29.6720565Z 
2022-11-23T01:32:29.6720629Z  
2022-11-23T01:32:29.6720951Z [2022-11-23 01:22:28,736] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6721068Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_39)
2022-11-23T01:32:29.6721165Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6721262Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6721343Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6721441Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.6721546Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6721655Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6721750Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6721832Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.6721941Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6722034Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6722116Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6722204Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.6722284Z              26 RETURN_VALUE
2022-11-23T01:32:29.6722290Z 
2022-11-23T01:32:29.6722358Z  
2022-11-23T01:32:29.6722571Z [2022-11-23 01:22:28,736] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6722646Z  - 
2022-11-23T01:32:29.6722772Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6722841Z             {
2022-11-23T01:32:29.6723003Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6723197Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.6723321Z                 'obj_weakref': None
2022-11-23T01:32:29.6723547Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6723615Z             }
2022-11-23T01:32:29.6723683Z             
2022-11-23T01:32:29.6723759Z  - 
2022-11-23T01:32:29.6723881Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6723947Z             {
2022-11-23T01:32:29.6724095Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6724207Z                 'code': None,
2022-11-23T01:32:29.6724424Z                 'obj_weakref': <weakref at 0x7f20680ac9a0; to 'Tensor' at 0x7f21276a77e0>
2022-11-23T01:32:29.6724670Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6724746Z             }
2022-11-23T01:32:29.6724808Z             
2022-11-23T01:32:29.6724882Z  - 
2022-11-23T01:32:29.6725021Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6725089Z             {
2022-11-23T01:32:29.6725231Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6725403Z                 'code': ['___check_obj_id(model, 139780075293136)'],
2022-11-23T01:32:29.6725527Z                 'obj_weakref': None
2022-11-23T01:32:29.6725751Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6725818Z             }
2022-11-23T01:32:29.6725887Z             
2022-11-23T01:32:29.6725959Z  - 
2022-11-23T01:32:29.6726089Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6726159Z             {
2022-11-23T01:32:29.6726307Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6726520Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6726646Z                 'obj_weakref': None
2022-11-23T01:32:29.6726871Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6726937Z             }
2022-11-23T01:32:29.6727006Z             
2022-11-23T01:32:29.6727080Z  - 
2022-11-23T01:32:29.6727216Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6727278Z             {
2022-11-23T01:32:29.6727403Z                 'guard_types': None,
2022-11-23T01:32:29.6727515Z                 'code': None,
2022-11-23T01:32:29.6727639Z                 'obj_weakref': None
2022-11-23T01:32:29.6727765Z                 'guarded_class': None
2022-11-23T01:32:29.6727834Z             }
2022-11-23T01:32:29.6727902Z             
2022-11-23T01:32:29.6727970Z  - 
2022-11-23T01:32:29.6728110Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6728178Z             {
2022-11-23T01:32:29.6728302Z                 'guard_types': None,
2022-11-23T01:32:29.6728414Z                 'code': None,
2022-11-23T01:32:29.6728537Z                 'obj_weakref': None
2022-11-23T01:32:29.6728656Z                 'guarded_class': None
2022-11-23T01:32:29.6728724Z             }
2022-11-23T01:32:29.6728790Z             
2022-11-23T01:32:29.6729053Z [2022-11-23 01:22:28,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38
2022-11-23T01:32:29.6729425Z [2022-11-23 01:22:30,317] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mk/cmkp7tc4yq6rz3rlkthlbl7thkkxurq7pyt5mnmoiplzuzhm63r7.py
2022-11-23T01:32:29.6729693Z [2022-11-23 01:22:30,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38
2022-11-23T01:32:29.6729698Z 
2022-11-23T01:32:29.6729799Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6729910Z import torch
2022-11-23T01:32:29.6729980Z import random
2022-11-23T01:32:29.6730106Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6730236Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6730263Z 
2022-11-23T01:32:29.6730349Z aten = torch.ops.aten
2022-11-23T01:32:29.6730490Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6730588Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6730593Z 
2022-11-23T01:32:29.6730665Z import triton
2022-11-23T01:32:29.6730759Z import triton.language as tl
2022-11-23T01:32:29.6730880Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6731025Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6731031Z 
2022-11-23T01:32:29.6731036Z 
2022-11-23T01:32:29.6731180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6731388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6731510Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:29.6731579Z {
2022-11-23T01:32:29.6731683Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6731744Z     {
2022-11-23T01:32:29.6731831Z         #pragma omp for 
2022-11-23T01:32:29.6731923Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:29.6731992Z         {
2022-11-23T01:32:29.6732141Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:29.6732238Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.6732306Z         }
2022-11-23T01:32:29.6732400Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6732491Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:29.6732560Z         {
2022-11-23T01:32:29.6732664Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:29.6732750Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.6732816Z         }
2022-11-23T01:32:29.6732882Z     }
2022-11-23T01:32:29.6732940Z }
2022-11-23T01:32:29.6733027Z ''')
2022-11-23T01:32:29.6733035Z 
2022-11-23T01:32:29.6733039Z 
2022-11-23T01:32:29.6733132Z async_compile.wait(globals())
2022-11-23T01:32:29.6733210Z del async_compile
2022-11-23T01:32:29.6733215Z 
2022-11-23T01:32:29.6733296Z def call(args):
2022-11-23T01:32:29.6733375Z     arg0_1, = args
2022-11-23T01:32:29.6733450Z     args.clear()
2022-11-23T01:32:29.6733642Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6733751Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.6733841Z     aten.bernoulli_(buf0, )
2022-11-23T01:32:29.6733924Z     return (buf0, buf0, )
2022-11-23T01:32:29.6733929Z 
2022-11-23T01:32:29.6733934Z 
2022-11-23T01:32:29.6734013Z if __name__ == "__main__":
2022-11-23T01:32:29.6734133Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6734265Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6734462Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6734572Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.6734584Z 
2022-11-23T01:32:29.6734649Z ok (1.599s)
2022-11-23T01:32:29.6734956Z   test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6735272Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6735493Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6735749Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6736026Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6736371Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6736714Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6737058Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6737418Z [2022-11-23 01:22:30,321] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590> 
2022-11-23T01:32:29.6737520Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6737631Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T01:32:29.6737730Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6737825Z                6 CALL_METHOD              1
2022-11-23T01:32:29.6737911Z                8 RETURN_VALUE
2022-11-23T01:32:29.6737979Z  
2022-11-23T01:32:29.6737984Z 
2022-11-23T01:32:29.6738294Z [2022-11-23 01:22:30,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591
2022-11-23T01:32:29.6738509Z [2022-11-23 01:22:30,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6739008Z [2022-11-23 01:22:30,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6739274Z [2022-11-23 01:22:30,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T01:32:29.6739568Z [2022-11-23 01:22:30,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T01:32:29.6739816Z [2022-11-23 01:22:30,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6740188Z [2022-11-23 01:22:30,328] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590>
2022-11-23T01:32:29.6740433Z [2022-11-23 01:22:30,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6740668Z [2022-11-23 01:22:30,328] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6740921Z [2022-11-23 01:22:30,329] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6741167Z [2022-11-23 01:22:30,331] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6741354Z [2022-11-23 01:22:30,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6741495Z  __compiled_fn_40 <eval_with_key>.264 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6741593Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6741720Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T01:32:29.6741827Z output, output, output, ((bernoulli,),), {}
2022-11-23T01:32:29.6741833Z 
2022-11-23T01:32:29.6742164Z [2022-11-23 01:22:30,332] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6742265Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6742361Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6742447Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6742545Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6742636Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6742729Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6742809Z              12 RETURN_VALUE
2022-11-23T01:32:29.6742815Z 
2022-11-23T01:32:29.6742879Z  
2022-11-23T01:32:29.6743249Z [2022-11-23 01:22:30,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6743364Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_40)
2022-11-23T01:32:29.6743479Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6743576Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6743658Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6743750Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.6743845Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6743927Z              12 RETURN_VALUE
2022-11-23T01:32:29.6743932Z 
2022-11-23T01:32:29.6743994Z  
2022-11-23T01:32:29.6744176Z [2022-11-23 01:22:30,332] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6744249Z  - 
2022-11-23T01:32:29.6744371Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6744438Z             {
2022-11-23T01:32:29.6744582Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6744775Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.6744895Z                 'obj_weakref': None
2022-11-23T01:32:29.6745115Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6745189Z             }
2022-11-23T01:32:29.6745254Z             
2022-11-23T01:32:29.6745328Z  - 
2022-11-23T01:32:29.6745454Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6745520Z             {
2022-11-23T01:32:29.6745667Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6745771Z                 'code': None,
2022-11-23T01:32:29.6745985Z                 'obj_weakref': <weakref at 0x7f20726fd120; to 'Tensor' at 0x7f2068242ca0>
2022-11-23T01:32:29.6746233Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6746300Z             }
2022-11-23T01:32:29.6746365Z             
2022-11-23T01:32:29.6746440Z  - 
2022-11-23T01:32:29.6746573Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6746634Z             {
2022-11-23T01:32:29.6746771Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6746947Z                 'code': ['___check_obj_id(model, 139780075293136)'],
2022-11-23T01:32:29.6747069Z                 'obj_weakref': None
2022-11-23T01:32:29.6747297Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6747364Z             }
2022-11-23T01:32:29.6747428Z             
2022-11-23T01:32:29.6747495Z  - 
2022-11-23T01:32:29.6747622Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6747689Z             {
2022-11-23T01:32:29.6747830Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6748051Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6748172Z                 'obj_weakref': None
2022-11-23T01:32:29.6748399Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6748460Z             }
2022-11-23T01:32:29.6748526Z             
2022-11-23T01:32:29.6748602Z  - 
2022-11-23T01:32:29.6748738Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.6748803Z             {
2022-11-23T01:32:29.6748927Z                 'guard_types': None,
2022-11-23T01:32:29.6749036Z                 'code': None,
2022-11-23T01:32:29.6749151Z                 'obj_weakref': None
2022-11-23T01:32:29.6749274Z                 'guarded_class': None
2022-11-23T01:32:29.6749339Z             }
2022-11-23T01:32:29.6749403Z             
2022-11-23T01:32:29.6749662Z [2022-11-23 01:22:30,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39
2022-11-23T01:32:29.6749921Z [2022-11-23 01:22:30,337] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:29.6750400Z [2022-11-23 01:22:31,916] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dt/cdtdr44brqggsomm674ntpb7ycv3eq6arz4mcbarxhoxs6qm2c4u.py
2022-11-23T01:32:29.6750704Z [2022-11-23 01:22:31,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39
2022-11-23T01:32:29.6750743Z 
2022-11-23T01:32:29.6750836Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6750904Z import torch
2022-11-23T01:32:29.6750975Z import random
2022-11-23T01:32:29.6751096Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6751219Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6751225Z 
2022-11-23T01:32:29.6751305Z aten = torch.ops.aten
2022-11-23T01:32:29.6751443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6751533Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6751542Z 
2022-11-23T01:32:29.6751609Z import triton
2022-11-23T01:32:29.6751699Z import triton.language as tl
2022-11-23T01:32:29.6751826Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6751967Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6752134Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:29.6752142Z 
2022-11-23T01:32:29.6752147Z 
2022-11-23T01:32:29.6752285Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6752493Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6752611Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:29.6752717Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.6752818Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:29.6752881Z {
2022-11-23T01:32:29.6752980Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6753043Z     {
2022-11-23T01:32:29.6753123Z         #pragma omp for 
2022-11-23T01:32:29.6753203Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.6753270Z         {
2022-11-23T01:32:29.6753337Z             {
2022-11-23T01:32:29.6753405Z                 {
2022-11-23T01:32:29.6753495Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:29.6753591Z                     auto tmp5 = in_ptr1[i0];
2022-11-23T01:32:29.6753703Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:29.6753793Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:29.6753898Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:32:29.6754043Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:29.6754140Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:29.6754230Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:29.6754297Z                 }
2022-11-23T01:32:29.6754361Z             }
2022-11-23T01:32:29.6754422Z         }
2022-11-23T01:32:29.6754485Z     }
2022-11-23T01:32:29.6754548Z }
2022-11-23T01:32:29.6754628Z ''')
2022-11-23T01:32:29.6754634Z 
2022-11-23T01:32:29.6754639Z 
2022-11-23T01:32:29.6754732Z async_compile.wait(globals())
2022-11-23T01:32:29.6754805Z del async_compile
2022-11-23T01:32:29.6754810Z 
2022-11-23T01:32:29.6754881Z def call(args):
2022-11-23T01:32:29.6754948Z     arg0_1, = args
2022-11-23T01:32:29.6755021Z     args.clear()
2022-11-23T01:32:29.6755160Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:29.6755348Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6755525Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.6755594Z     del arg0_1
2022-11-23T01:32:29.6755669Z     return (buf0, )
2022-11-23T01:32:29.6755674Z 
2022-11-23T01:32:29.6755678Z 
2022-11-23T01:32:29.6755758Z if __name__ == "__main__":
2022-11-23T01:32:29.6755871Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6755998Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6756220Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.6756416Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6756526Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.6756553Z 
2022-11-23T01:32:29.6756624Z ok (1.599s)
2022-11-23T01:32:29.6756925Z   test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6757233Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6757455Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6757701Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6757980Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6758295Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6758636Z [2022-11-23 01:22:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6758950Z [2022-11-23 01:22:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6759318Z [2022-11-23 01:22:31,922] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736> 
2022-11-23T01:32:29.6759419Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6759524Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:29.6759621Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6759709Z                6 CALL_METHOD              1
2022-11-23T01:32:29.6759714Z 
2022-11-23T01:32:29.6759811Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6759919Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:29.6760013Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6760106Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6760197Z               16 CALL_METHOD              2
2022-11-23T01:32:29.6760202Z 
2022-11-23T01:32:29.6760301Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6760405Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:29.6760492Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6760583Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6760676Z               26 CALL_METHOD              2
2022-11-23T01:32:29.6760681Z 
2022-11-23T01:32:29.6760781Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6760884Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:29.6760974Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6761067Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6761155Z               36 CALL_METHOD              2
2022-11-23T01:32:29.6761166Z 
2022-11-23T01:32:29.6761253Z 2737          38 BUILD_TUPLE              4
2022-11-23T01:32:29.6761332Z               40 RETURN_VALUE
2022-11-23T01:32:29.6761396Z  
2022-11-23T01:32:29.6761401Z 
2022-11-23T01:32:29.6761712Z [2022-11-23 01:22:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738
2022-11-23T01:32:29.6761935Z [2022-11-23 01:22:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6762324Z [2022-11-23 01:22:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6762650Z [2022-11-23 01:22:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6763021Z [2022-11-23 01:22:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6763330Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739
2022-11-23T01:32:29.6763572Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.6763965Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6764311Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6764686Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6765092Z [2022-11-23 01:22:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6765398Z [2022-11-23 01:22:31,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740
2022-11-23T01:32:29.6765671Z [2022-11-23 01:22:31,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6766089Z [2022-11-23 01:22:31,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6766467Z [2022-11-23 01:22:31,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6766863Z [2022-11-23 01:22:31,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6767299Z [2022-11-23 01:22:31,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6767607Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741
2022-11-23T01:32:29.6767910Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6768361Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6768762Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6769210Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6769670Z [2022-11-23 01:22:31,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6770001Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737
2022-11-23T01:32:29.6770318Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6770562Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6770936Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736>
2022-11-23T01:32:29.6771194Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6771466Z [2022-11-23 01:22:31,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6771719Z [2022-11-23 01:22:31,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6771969Z [2022-11-23 01:22:31,933] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6772157Z [2022-11-23 01:22:31,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6772290Z  __compiled_fn_41 <eval_with_key>.270 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6772382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6772475Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6772721Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.6772967Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6773217Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6773466Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6773617Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:29.6773623Z 
2022-11-23T01:32:29.6773950Z [2022-11-23 01:22:31,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6774044Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6774143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6774233Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6774330Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6774419Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6774514Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6774593Z              12 RETURN_VALUE
2022-11-23T01:32:29.6774598Z 
2022-11-23T01:32:29.6774655Z  
2022-11-23T01:32:29.6774979Z [2022-11-23 01:22:31,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6775093Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_41)
2022-11-23T01:32:29.6775188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6775283Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6775364Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6775457Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6775576Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6775652Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6775744Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6775882Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6775988Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6776081Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6776159Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6776262Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6776349Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6776426Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.6776539Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6776630Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.6776707Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.6776814Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6776906Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.6776979Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.6777071Z              42 BUILD_TUPLE              4
2022-11-23T01:32:29.6777153Z              44 RETURN_VALUE
2022-11-23T01:32:29.6777159Z 
2022-11-23T01:32:29.6777223Z  
2022-11-23T01:32:29.6777415Z [2022-11-23 01:22:31,934] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6777488Z  - 
2022-11-23T01:32:29.6777609Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6777670Z             {
2022-11-23T01:32:29.6777813Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6778004Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6778128Z                 'obj_weakref': None
2022-11-23T01:32:29.6778352Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6778418Z             }
2022-11-23T01:32:29.6778487Z             
2022-11-23T01:32:29.6778554Z  - 
2022-11-23T01:32:29.6778681Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6778746Z             {
2022-11-23T01:32:29.6779085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6779202Z                 'code': None,
2022-11-23T01:32:29.6779410Z                 'obj_weakref': <weakref at 0x7f20728136a0; to 'Tensor' at 0x7f21159a6890>
2022-11-23T01:32:29.6779659Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6779727Z             }
2022-11-23T01:32:29.6779787Z             
2022-11-23T01:32:29.6779860Z  - 
2022-11-23T01:32:29.6779989Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6780057Z             {
2022-11-23T01:32:29.6780204Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6780312Z                 'code': None,
2022-11-23T01:32:29.6780520Z                 'obj_weakref': <weakref at 0x7f2115dc4950; to 'Tensor' at 0x7f2068242ca0>
2022-11-23T01:32:29.6780760Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6780826Z             }
2022-11-23T01:32:29.6780895Z             
2022-11-23T01:32:29.6780968Z  - 
2022-11-23T01:32:29.6781102Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6781167Z             {
2022-11-23T01:32:29.6781297Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6781471Z                 'code': ['___check_obj_id(model, 139780375603104)'],
2022-11-23T01:32:29.6781591Z                 'obj_weakref': None
2022-11-23T01:32:29.6781817Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6781889Z             }
2022-11-23T01:32:29.6781954Z             
2022-11-23T01:32:29.6782028Z  - 
2022-11-23T01:32:29.6782145Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6782212Z             {
2022-11-23T01:32:29.6782396Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6782618Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6782737Z                 'obj_weakref': None
2022-11-23T01:32:29.6782988Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6783055Z             }
2022-11-23T01:32:29.6783115Z             
2022-11-23T01:32:29.6783186Z  - 
2022-11-23T01:32:29.6783320Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6783385Z             {
2022-11-23T01:32:29.6783508Z                 'guard_types': None,
2022-11-23T01:32:29.6783615Z                 'code': None,
2022-11-23T01:32:29.6783735Z                 'obj_weakref': None
2022-11-23T01:32:29.6783852Z                 'guarded_class': None
2022-11-23T01:32:29.6783917Z             }
2022-11-23T01:32:29.6783982Z             
2022-11-23T01:32:29.6784243Z [2022-11-23 01:22:31,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40
2022-11-23T01:32:29.6784602Z [2022-11-23 01:22:33,522] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/73/c73lm7trjdehfyebildiu4bt4knoxbc7hotsht5uzfwm2wxmdfph.py
2022-11-23T01:32:29.6784865Z [2022-11-23 01:22:33,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40
2022-11-23T01:32:29.6784871Z 
2022-11-23T01:32:29.6784968Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6785039Z import torch
2022-11-23T01:32:29.6785106Z import random
2022-11-23T01:32:29.6785224Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6785349Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6785354Z 
2022-11-23T01:32:29.6785435Z aten = torch.ops.aten
2022-11-23T01:32:29.6785578Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6785673Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6785679Z 
2022-11-23T01:32:29.6785749Z import triton
2022-11-23T01:32:29.6785837Z import triton.language as tl
2022-11-23T01:32:29.6785962Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6786102Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6786111Z 
2022-11-23T01:32:29.6786116Z 
2022-11-23T01:32:29.6786253Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6786459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6786580Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:29.6786688Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:29.6786788Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.6786887Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:29.6786978Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:32:29.6787072Z                        bool* __restrict__ out_ptr3)
2022-11-23T01:32:29.6787138Z {
2022-11-23T01:32:29.6787241Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6787309Z     {
2022-11-23T01:32:29.6787391Z         #pragma omp for 
2022-11-23T01:32:29.6787472Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:32:29.6787541Z         {
2022-11-23T01:32:29.6787610Z             {
2022-11-23T01:32:29.6787680Z                 {
2022-11-23T01:32:29.6787779Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.6787875Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.6787969Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:29.6788057Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:32:29.6788151Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:32:29.6788244Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:32:29.6788336Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.6788426Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.6788514Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.6788635Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:29.6788700Z                 }
2022-11-23T01:32:29.6788767Z             }
2022-11-23T01:32:29.6788835Z         }
2022-11-23T01:32:29.6788901Z     }
2022-11-23T01:32:29.6788989Z }
2022-11-23T01:32:29.6789075Z ''')
2022-11-23T01:32:29.6789081Z 
2022-11-23T01:32:29.6789086Z 
2022-11-23T01:32:29.6789180Z async_compile.wait(globals())
2022-11-23T01:32:29.6789249Z del async_compile
2022-11-23T01:32:29.6789254Z 
2022-11-23T01:32:29.6789329Z def call(args):
2022-11-23T01:32:29.6789410Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6789485Z     args.clear()
2022-11-23T01:32:29.6789683Z     buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6789876Z     buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6790064Z     buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6790325Z     buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6790592Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:29.6790672Z     del arg0_1
2022-11-23T01:32:29.6790742Z     del arg1_1
2022-11-23T01:32:29.6790835Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:29.6790840Z 
2022-11-23T01:32:29.6790845Z 
2022-11-23T01:32:29.6790927Z if __name__ == "__main__":
2022-11-23T01:32:29.6791045Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6791175Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6791371Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6791555Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6791676Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6791682Z 
2022-11-23T01:32:29.6791752Z ok (1.606s)
2022-11-23T01:32:29.6792058Z   test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:22:33,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6792373Z [2022-11-23 01:22:33,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6792597Z [2022-11-23 01:22:33,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6792851Z [2022-11-23 01:22:33,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6793126Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6793444Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6793779Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6794101Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6794470Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718> 
2022-11-23T01:32:29.6794573Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6794683Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:29.6794781Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6794877Z                6 CALL_METHOD              1
2022-11-23T01:32:29.6794882Z 
2022-11-23T01:32:29.6794981Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6795136Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:29.6795228Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6795323Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6795416Z               16 CALL_METHOD              2
2022-11-23T01:32:29.6795476Z 
2022-11-23T01:32:29.6795578Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6795685Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:29.6795779Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6795877Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6795962Z               26 CALL_METHOD              2
2022-11-23T01:32:29.6795975Z 
2022-11-23T01:32:29.6796065Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6796173Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:29.6796268Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:29.6796366Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:29.6796460Z               36 CALL_METHOD              2
2022-11-23T01:32:29.6796465Z 
2022-11-23T01:32:29.6796559Z 2719          38 BUILD_TUPLE              4
2022-11-23T01:32:29.6796642Z               40 RETURN_VALUE
2022-11-23T01:32:29.6796704Z  
2022-11-23T01:32:29.6796709Z 
2022-11-23T01:32:29.6797024Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720
2022-11-23T01:32:29.6797246Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6797614Z [2022-11-23 01:22:33,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6797939Z [2022-11-23 01:22:33,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6798294Z [2022-11-23 01:22:33,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6798608Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721
2022-11-23T01:32:29.6798855Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.6799247Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6799595Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6799971Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6800375Z [2022-11-23 01:22:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6800682Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722
2022-11-23T01:32:29.6800952Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6801374Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6801773Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6802194Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6802628Z [2022-11-23 01:22:33,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6802940Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723
2022-11-23T01:32:29.6803242Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6803686Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6804084Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6804506Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6804966Z [2022-11-23 01:22:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6805275Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719
2022-11-23T01:32:29.6805599Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6805849Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6806213Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718>
2022-11-23T01:32:29.6806460Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6806698Z [2022-11-23 01:22:33,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6806953Z [2022-11-23 01:22:33,535] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6807206Z [2022-11-23 01:22:33,538] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6807400Z [2022-11-23 01:22:33,538] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6807541Z  __compiled_fn_42 <eval_with_key>.276 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6807634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6807725Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6807965Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.6808215Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6808494Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6808748Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6808927Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:29.6808933Z 
2022-11-23T01:32:29.6809285Z [2022-11-23 01:22:33,539] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6809387Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6809485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6809570Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6809668Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6809758Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6809853Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6809936Z              12 RETURN_VALUE
2022-11-23T01:32:29.6809942Z 
2022-11-23T01:32:29.6810007Z  
2022-11-23T01:32:29.6810327Z [2022-11-23 01:22:33,539] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6810447Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_42)
2022-11-23T01:32:29.6810536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6810633Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6810714Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6810809Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6810903Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6810983Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6811077Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6811181Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6811296Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6811391Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6811472Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6811581Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6811674Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6811756Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.6811857Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6811952Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.6812032Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.6812136Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6812232Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.6812312Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.6812407Z              42 BUILD_TUPLE              4
2022-11-23T01:32:29.6812480Z              44 RETURN_VALUE
2022-11-23T01:32:29.6812493Z 
2022-11-23T01:32:29.6812552Z  
2022-11-23T01:32:29.6812743Z [2022-11-23 01:22:33,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6812821Z  - 
2022-11-23T01:32:29.6812945Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6813017Z             {
2022-11-23T01:32:29.6813175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6813386Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6813511Z                 'obj_weakref': None
2022-11-23T01:32:29.6813761Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6813832Z             }
2022-11-23T01:32:29.6813900Z             
2022-11-23T01:32:29.6813978Z  - 
2022-11-23T01:32:29.6814118Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6814184Z             {
2022-11-23T01:32:29.6814337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6814456Z                 'code': None,
2022-11-23T01:32:29.6814731Z                 'obj_weakref': <weakref at 0x7f20680b30b0; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.6815014Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6815105Z             }
2022-11-23T01:32:29.6815172Z             
2022-11-23T01:32:29.6815250Z  - 
2022-11-23T01:32:29.6815380Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6815449Z             {
2022-11-23T01:32:29.6815609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6815729Z                 'code': None,
2022-11-23T01:32:29.6815965Z                 'obj_weakref': <weakref at 0x7f20680b1990; to 'Tensor' at 0x7f2068242ca0>
2022-11-23T01:32:29.6816240Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6816308Z             }
2022-11-23T01:32:29.6816369Z             
2022-11-23T01:32:29.6816446Z  - 
2022-11-23T01:32:29.6816596Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6816665Z             {
2022-11-23T01:32:29.6816816Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6817010Z                 'code': ['___check_obj_id(model, 139780375603104)'],
2022-11-23T01:32:29.6817146Z                 'obj_weakref': None
2022-11-23T01:32:29.6817393Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6817461Z             }
2022-11-23T01:32:29.6817527Z             
2022-11-23T01:32:29.6817604Z  - 
2022-11-23T01:32:29.6817741Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6817809Z             {
2022-11-23T01:32:29.6817953Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6818198Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6818329Z                 'obj_weakref': None
2022-11-23T01:32:29.6818584Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6818652Z             }
2022-11-23T01:32:29.6818720Z             
2022-11-23T01:32:29.6818909Z  - 
2022-11-23T01:32:29.6819052Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6819117Z             {
2022-11-23T01:32:29.6819242Z                 'guard_types': None,
2022-11-23T01:32:29.6819357Z                 'code': None,
2022-11-23T01:32:29.6819479Z                 'obj_weakref': None
2022-11-23T01:32:29.6819606Z                 'guarded_class': None
2022-11-23T01:32:29.6819674Z             }
2022-11-23T01:32:29.6819734Z             
2022-11-23T01:32:29.6819991Z [2022-11-23 01:22:33,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41
2022-11-23T01:32:29.6820360Z [2022-11-23 01:22:35,166] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/te/cteesnyzjrpzt3v5wyzu4xiyjflky3uxnuswglukj2rezdgpnhiy.py
2022-11-23T01:32:29.6820629Z [2022-11-23 01:22:35,166] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41
2022-11-23T01:32:29.6820635Z 
2022-11-23T01:32:29.6820735Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6820807Z import torch
2022-11-23T01:32:29.6820884Z import random
2022-11-23T01:32:29.6821006Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6821126Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6821140Z 
2022-11-23T01:32:29.6821216Z aten = torch.ops.aten
2022-11-23T01:32:29.6821356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6821454Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6821459Z 
2022-11-23T01:32:29.6821535Z import triton
2022-11-23T01:32:29.6821630Z import triton.language as tl
2022-11-23T01:32:29.6821756Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6821898Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6821904Z 
2022-11-23T01:32:29.6821908Z 
2022-11-23T01:32:29.6822092Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6822296Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6822417Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:29.6822554Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:29.6822658Z                        int* __restrict__ out_ptr0,
2022-11-23T01:32:29.6822758Z                        int* __restrict__ out_ptr1,
2022-11-23T01:32:29.6822855Z                        int* __restrict__ out_ptr2,
2022-11-23T01:32:29.6822951Z                        int* __restrict__ out_ptr3)
2022-11-23T01:32:29.6823010Z {
2022-11-23T01:32:29.6823112Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6823179Z     {
2022-11-23T01:32:29.6823262Z         #pragma omp for 
2022-11-23T01:32:29.6823350Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.6823417Z         {
2022-11-23T01:32:29.6823486Z             {
2022-11-23T01:32:29.6823551Z                 {
2022-11-23T01:32:29.6823650Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.6823749Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.6823837Z                     auto tmp1 = ~tmp0;
2022-11-23T01:32:29.6823936Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:32:29.6824032Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:32:29.6824119Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:32:29.6824210Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.6824299Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.6824388Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.6824477Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:29.6824547Z                 }
2022-11-23T01:32:29.6824616Z             }
2022-11-23T01:32:29.6824676Z         }
2022-11-23T01:32:29.6824741Z     }
2022-11-23T01:32:29.6824806Z }
2022-11-23T01:32:29.6824892Z ''')
2022-11-23T01:32:29.6824898Z 
2022-11-23T01:32:29.6824905Z 
2022-11-23T01:32:29.6825000Z async_compile.wait(globals())
2022-11-23T01:32:29.6825078Z del async_compile
2022-11-23T01:32:29.6825083Z 
2022-11-23T01:32:29.6825161Z def call(args):
2022-11-23T01:32:29.6825245Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6825314Z     args.clear()
2022-11-23T01:32:29.6825510Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6825702Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6825892Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6826080Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6826320Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:29.6826397Z     del arg0_1
2022-11-23T01:32:29.6826461Z     del arg1_1
2022-11-23T01:32:29.6826558Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:29.6826563Z 
2022-11-23T01:32:29.6826568Z 
2022-11-23T01:32:29.6826651Z if __name__ == "__main__":
2022-11-23T01:32:29.6826770Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6826904Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6827097Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6827290Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.6827413Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6827418Z 
2022-11-23T01:32:29.6827482Z ok (1.643s)
2022-11-23T01:32:29.6827779Z   test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6828124Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6828348Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6828604Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6828901Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6829219Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6829560Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6829878Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6830336Z [2022-11-23 01:22:35,171] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:29.6830459Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6830567Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:29.6830666Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6830762Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6830860Z                8 CALL_METHOD              2
2022-11-23T01:32:29.6830865Z 
2022-11-23T01:32:29.6830966Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6831065Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:29.6831161Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6831248Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.6831326Z               18 BINARY_ADD
2022-11-23T01:32:29.6831423Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6831515Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:29.6831593Z               24 BINARY_ADD
2022-11-23T01:32:29.6831686Z               26 CALL_METHOD              2
2022-11-23T01:32:29.6831784Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:29.6831854Z               30 BINARY_ADD
2022-11-23T01:32:29.6831859Z 
2022-11-23T01:32:29.6831954Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:32:29.6832035Z               34 RETURN_VALUE
2022-11-23T01:32:29.6832101Z  
2022-11-23T01:32:29.6832107Z 
2022-11-23T01:32:29.6832419Z [2022-11-23 01:22:35,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:32:29.6832642Z [2022-11-23 01:22:35,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6833001Z [2022-11-23 01:22:35,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6833319Z [2022-11-23 01:22:35,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6833660Z [2022-11-23 01:22:35,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6834030Z [2022-11-23 01:22:35,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6834332Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:32:29.6834581Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.6834994Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6835353Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6835715Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6836120Z [2022-11-23 01:22:35,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6836481Z [2022-11-23 01:22:35,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6836869Z [2022-11-23 01:22:35,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6837299Z [2022-11-23 01:22:35,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6837694Z [2022-11-23 01:22:35,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6837961Z [2022-11-23 01:22:35,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6838268Z [2022-11-23 01:22:35,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6838580Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:32:29.6838842Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6839089Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6839460Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:29.6839707Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6839949Z [2022-11-23 01:22:35,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6840205Z [2022-11-23 01:22:35,179] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6840456Z [2022-11-23 01:22:35,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6840651Z [2022-11-23 01:22:35,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6840795Z  __compiled_fn_43 <eval_with_key>.282 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6840883Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6840975Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6841208Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6841385Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.6841563Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:29.6841831Z call_function, bmm_1, <built-in method bmm of type object at 0x7f209c394c60>, (add, add_1), {}
2022-11-23T01:32:29.6842009Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:29.6842142Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:29.6842147Z 
2022-11-23T01:32:29.6842474Z [2022-11-23 01:22:35,184] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6842569Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6842665Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6842760Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6842859Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6842952Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6843048Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6843129Z              12 RETURN_VALUE
2022-11-23T01:32:29.6843134Z 
2022-11-23T01:32:29.6843196Z  
2022-11-23T01:32:29.6843527Z [2022-11-23 01:22:35,184] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6843645Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_43)
2022-11-23T01:32:29.6843741Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6843840Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6843925Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6844018Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6844112Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6844186Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6844280Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6844392Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6844502Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6844601Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6844682Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6844786Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6844877Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6844958Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.6845052Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.6845132Z              32 RETURN_VALUE
2022-11-23T01:32:29.6845138Z 
2022-11-23T01:32:29.6845204Z  
2022-11-23T01:32:29.6845397Z [2022-11-23 01:22:35,185] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6845475Z  - 
2022-11-23T01:32:29.6845593Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6845665Z             {
2022-11-23T01:32:29.6845811Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6846004Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6846129Z                 'obj_weakref': None
2022-11-23T01:32:29.6846358Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6846428Z             }
2022-11-23T01:32:29.6846488Z             
2022-11-23T01:32:29.6846566Z  - 
2022-11-23T01:32:29.6846693Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6846762Z             {
2022-11-23T01:32:29.6846908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6847021Z                 'code': None,
2022-11-23T01:32:29.6847233Z                 'obj_weakref': <weakref at 0x7f2115adb6f0; to 'Tensor' at 0x7f212794ac50>
2022-11-23T01:32:29.6847473Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6847543Z             }
2022-11-23T01:32:29.6847614Z             
2022-11-23T01:32:29.6847688Z  - 
2022-11-23T01:32:29.6847813Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6847880Z             {
2022-11-23T01:32:29.6848059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6848164Z                 'code': None,
2022-11-23T01:32:29.6848375Z                 'obj_weakref': <weakref at 0x7f2115adb380; to 'Tensor' at 0x7f21159a6890>
2022-11-23T01:32:29.6848636Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6848707Z             }
2022-11-23T01:32:29.6848776Z             
2022-11-23T01:32:29.6848851Z  - 
2022-11-23T01:32:29.6848986Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6849047Z             {
2022-11-23T01:32:29.6849187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6849361Z                 'code': ['___check_obj_id(model, 139780074440592)'],
2022-11-23T01:32:29.6849483Z                 'obj_weakref': None
2022-11-23T01:32:29.6849710Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6849782Z             }
2022-11-23T01:32:29.6849849Z             
2022-11-23T01:32:29.6849918Z  - 
2022-11-23T01:32:29.6850044Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6850113Z             {
2022-11-23T01:32:29.6850257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6850477Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6850599Z                 'obj_weakref': None
2022-11-23T01:32:29.6850823Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6850884Z             }
2022-11-23T01:32:29.6850952Z             
2022-11-23T01:32:29.6851028Z  - 
2022-11-23T01:32:29.6851165Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6851234Z             {
2022-11-23T01:32:29.6851362Z                 'guard_types': None,
2022-11-23T01:32:29.6851472Z                 'code': None,
2022-11-23T01:32:29.6851586Z                 'obj_weakref': None
2022-11-23T01:32:29.6851710Z                 'guarded_class': None
2022-11-23T01:32:29.6851783Z             }
2022-11-23T01:32:29.6851850Z             
2022-11-23T01:32:29.6852109Z [2022-11-23 01:22:35,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42
2022-11-23T01:32:29.6852474Z [2022-11-23 01:22:36,834] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qw/cqwqzvhk2ngdsrkorw3ku23u3lhaltvttoqby4dql3ewbtstbuko.py
2022-11-23T01:32:29.6852735Z [2022-11-23 01:22:36,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42
2022-11-23T01:32:29.6852974Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6853277Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6853497Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6853753Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6854029Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6854349Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6854686Z [2022-11-23 01:22:36,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6855006Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6855400Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:29.6855506Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6855608Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:29.6855720Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6855819Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6855916Z                8 CALL_METHOD              2
2022-11-23T01:32:29.6855921Z 
2022-11-23T01:32:29.6856027Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6856126Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:29.6856222Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6856317Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.6856388Z               18 BINARY_ADD
2022-11-23T01:32:29.6856480Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6856574Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:29.6856653Z               24 BINARY_ADD
2022-11-23T01:32:29.6856749Z               26 CALL_METHOD              2
2022-11-23T01:32:29.6856843Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:29.6856921Z               30 BINARY_ADD
2022-11-23T01:32:29.6856930Z 
2022-11-23T01:32:29.6857018Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:32:29.6857101Z               34 RETURN_VALUE
2022-11-23T01:32:29.6857167Z  
2022-11-23T01:32:29.6857172Z 
2022-11-23T01:32:29.6857488Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:32:29.6857713Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6858070Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6858384Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6858722Z [2022-11-23 01:22:36,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6859321Z [2022-11-23 01:22:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6859629Z [2022-11-23 01:22:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:32:29.6859870Z [2022-11-23 01:22:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.6860256Z [2022-11-23 01:22:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6860595Z [2022-11-23 01:22:36,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6860961Z [2022-11-23 01:22:36,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6861368Z [2022-11-23 01:22:36,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6861727Z [2022-11-23 01:22:36,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6862159Z [2022-11-23 01:22:36,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6862590Z [2022-11-23 01:22:36,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6863010Z [2022-11-23 01:22:36,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6863275Z [2022-11-23 01:22:36,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6863582Z [2022-11-23 01:22:36,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.6863897Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:32:29.6864166Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6864417Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6864779Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:29.6865025Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6865260Z [2022-11-23 01:22:36,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6865518Z [2022-11-23 01:22:36,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6865768Z [2022-11-23 01:22:36,912] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6865966Z [2022-11-23 01:22:36,912] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6866107Z  __compiled_fn_44 <eval_with_key>.288 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6866201Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6866286Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6866515Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6866691Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.6866868Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:29.6867096Z call_function, bmm_1, <built-in method bmm of type object at 0x7f209c394c60>, (add, add_1), {}
2022-11-23T01:32:29.6867273Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:29.6867383Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:29.6867389Z 
2022-11-23T01:32:29.6867713Z [2022-11-23 01:22:36,913] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6867818Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6867908Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6868002Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6868102Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6868195Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6868290Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6868373Z              12 RETURN_VALUE
2022-11-23T01:32:29.6868378Z 
2022-11-23T01:32:29.6868443Z  
2022-11-23T01:32:29.6868784Z [2022-11-23 01:22:36,913] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6868899Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_44)
2022-11-23T01:32:29.6868995Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6869114Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6869201Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6869294Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6869390Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6869464Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6869560Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6869671Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6869779Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6869875Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6869957Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6870068Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6870161Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6870235Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.6870414Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.6870505Z              32 RETURN_VALUE
2022-11-23T01:32:29.6870510Z 
2022-11-23T01:32:29.6870575Z  
2022-11-23T01:32:29.6870767Z [2022-11-23 01:22:36,914] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6870842Z  - 
2022-11-23T01:32:29.6870967Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6871029Z             {
2022-11-23T01:32:29.6871173Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6871364Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6871487Z                 'obj_weakref': None
2022-11-23T01:32:29.6871713Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6871783Z             }
2022-11-23T01:32:29.6871854Z             
2022-11-23T01:32:29.6871921Z  - 
2022-11-23T01:32:29.6872050Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6872118Z             {
2022-11-23T01:32:29.6872266Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6872381Z                 'code': None,
2022-11-23T01:32:29.6872593Z                 'obj_weakref': <weakref at 0x7f2151ece8e0; to 'Tensor' at 0x7f212794ac50>
2022-11-23T01:32:29.6872840Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6872901Z             }
2022-11-23T01:32:29.6872969Z             
2022-11-23T01:32:29.6873044Z  - 
2022-11-23T01:32:29.6873171Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6873240Z             {
2022-11-23T01:32:29.6873386Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6873496Z                 'code': None,
2022-11-23T01:32:29.6873695Z                 'obj_weakref': <weakref at 0x7f20680b3c90; to 'Tensor' at 0x7f21159a6890>
2022-11-23T01:32:29.6873934Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6874001Z             }
2022-11-23T01:32:29.6874072Z             
2022-11-23T01:32:29.6874147Z  - 
2022-11-23T01:32:29.6874282Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6874352Z             {
2022-11-23T01:32:29.6874482Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6874656Z                 'code': ['___check_obj_id(model, 139780074440592)'],
2022-11-23T01:32:29.6874780Z                 'obj_weakref': None
2022-11-23T01:32:29.6875009Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6875079Z             }
2022-11-23T01:32:29.6875153Z             
2022-11-23T01:32:29.6875228Z  - 
2022-11-23T01:32:29.6875348Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6875419Z             {
2022-11-23T01:32:29.6875595Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6875818Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6875967Z                 'obj_weakref': None
2022-11-23T01:32:29.6876188Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6876257Z             }
2022-11-23T01:32:29.6876316Z             
2022-11-23T01:32:29.6876395Z  - 
2022-11-23T01:32:29.6876532Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6876601Z             {
2022-11-23T01:32:29.6876724Z                 'guard_types': None,
2022-11-23T01:32:29.6876834Z                 'code': None,
2022-11-23T01:32:29.6876955Z                 'obj_weakref': None
2022-11-23T01:32:29.6877073Z                 'guarded_class': None
2022-11-23T01:32:29.6877142Z             }
2022-11-23T01:32:29.6877210Z             
2022-11-23T01:32:29.6877473Z [2022-11-23 01:22:36,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43
2022-11-23T01:32:29.6877479Z 
2022-11-23T01:32:29.6877582Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6877657Z import torch
2022-11-23T01:32:29.6877735Z import random
2022-11-23T01:32:29.6877849Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6877977Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6877983Z 
2022-11-23T01:32:29.6878068Z aten = torch.ops.aten
2022-11-23T01:32:29.6878208Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6878306Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6878311Z 
2022-11-23T01:32:29.6878385Z import triton
2022-11-23T01:32:29.6878477Z import triton.language as tl
2022-11-23T01:32:29.6878596Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6878740Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6878745Z 
2022-11-23T01:32:29.6878750Z 
2022-11-23T01:32:29.6878893Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6879104Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6879232Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6879350Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.6879457Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.6879562Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.6879621Z {
2022-11-23T01:32:29.6879724Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6879790Z     {
2022-11-23T01:32:29.6879872Z         #pragma omp for 
2022-11-23T01:32:29.6879961Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.6880031Z         {
2022-11-23T01:32:29.6880174Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.6880309Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.6880404Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6880503Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.6880571Z         }
2022-11-23T01:32:29.6880673Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6880764Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.6880830Z         {
2022-11-23T01:32:29.6880914Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.6881019Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.6881110Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6881196Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.6881264Z         }
2022-11-23T01:32:29.6881346Z         #pragma omp for 
2022-11-23T01:32:29.6881433Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.6881493Z         {
2022-11-23T01:32:29.6881630Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.6881769Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.6881895Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6881993Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.6882061Z         }
2022-11-23T01:32:29.6882161Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6882263Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.6882333Z         {
2022-11-23T01:32:29.6882423Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.6882527Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.6882617Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6882702Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.6882770Z         }
2022-11-23T01:32:29.6882829Z     }
2022-11-23T01:32:29.6882894Z }
2022-11-23T01:32:29.6882982Z ''')
2022-11-23T01:32:29.6882987Z 
2022-11-23T01:32:29.6882991Z 
2022-11-23T01:32:29.6883129Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:29.6883336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6883462Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:29.6883528Z {
2022-11-23T01:32:29.6883629Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6883688Z     {
2022-11-23T01:32:29.6883773Z         #pragma omp for 
2022-11-23T01:32:29.6883860Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.6883927Z         {
2022-11-23T01:32:29.6884072Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.6884213Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.6884302Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6884397Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.6884467Z         }
2022-11-23T01:32:29.6884569Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6884656Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.6884722Z         {
2022-11-23T01:32:29.6884820Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:29.6884933Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.6885014Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6885104Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.6885174Z         }
2022-11-23T01:32:29.6885243Z     }
2022-11-23T01:32:29.6885308Z }
2022-11-23T01:32:29.6885394Z ''')
2022-11-23T01:32:29.6885400Z 
2022-11-23T01:32:29.6885405Z 
2022-11-23T01:32:29.6885498Z async_compile.wait(globals())
2022-11-23T01:32:29.6885568Z del async_compile
2022-11-23T01:32:29.6885573Z 
2022-11-23T01:32:29.6885649Z def call(args):
2022-11-23T01:32:29.6885729Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6885806Z     args.clear()
2022-11-23T01:32:29.6886012Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6886117Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:32:29.6886323Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6886516Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6886716Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.6886793Z     del arg0_1
2022-11-23T01:32:29.6886866Z     del arg1_1
2022-11-23T01:32:29.6887069Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6887168Z     aten.bmm.out(buf1, buf2, out=buf3)
2022-11-23T01:32:29.6887239Z     del buf1
2022-11-23T01:32:29.6887302Z     del buf2
2022-11-23T01:32:29.6887394Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:29.6887503Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.6887584Z     return (buf0, buf4, )
2022-11-23T01:32:29.6887590Z 
2022-11-23T01:32:29.6887594Z 
2022-11-23T01:32:29.6887676Z if __name__ == "__main__":
2022-11-23T01:32:29.6887796Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6887926Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6888175Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6888367Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6888511Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6888517Z 
2022-11-23T01:32:29.6888521Z 
2022-11-23T01:32:29.6888623Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6888697Z import torch
2022-11-23T01:32:29.6888776Z import random
2022-11-23T01:32:29.6888898Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6889026Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6889031Z 
2022-11-23T01:32:29.6889115Z aten = torch.ops.aten
2022-11-23T01:32:29.6889247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6889344Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6889349Z 
2022-11-23T01:32:29.6889423Z import triton
2022-11-23T01:32:29.6889519Z import triton.language as tl
2022-11-23T01:32:29.6889646Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6889788Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6889795Z 
2022-11-23T01:32:29.6889800Z 
2022-11-23T01:32:29.6889937Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6890141Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6890258Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.6890371Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.6890477Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.6890583Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.6890650Z {
2022-11-23T01:32:29.6890754Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6890825Z     {
2022-11-23T01:32:29.6890899Z         #pragma omp for 
2022-11-23T01:32:29.6890990Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.6891058Z         {
2022-11-23T01:32:29.6891204Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.6891349Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.6891443Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6891540Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.6891601Z         }
2022-11-23T01:32:29.6891702Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6891791Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.6891859Z         {
2022-11-23T01:32:29.6891948Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.6892052Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.6892142Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6892221Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.6892289Z         }
2022-11-23T01:32:29.6892370Z         #pragma omp for 
2022-11-23T01:32:29.6892461Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:29.6892530Z         {
2022-11-23T01:32:29.6892665Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.6892803Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.6892887Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6892985Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.6893055Z         }
2022-11-23T01:32:29.6893155Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6893244Z         for(long i0=80; i0<80; i0+=1)
2022-11-23T01:32:29.6893312Z         {
2022-11-23T01:32:29.6893399Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.6893496Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.6893586Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6893672Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.6893738Z         }
2022-11-23T01:32:29.6893805Z     }
2022-11-23T01:32:29.6893871Z }
2022-11-23T01:32:29.6893988Z ''')
2022-11-23T01:32:29.6893994Z 
2022-11-23T01:32:29.6893998Z 
2022-11-23T01:32:29.6894127Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:29.6894334Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6894478Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:29.6894544Z {
2022-11-23T01:32:29.6894646Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.6894713Z     {
2022-11-23T01:32:29.6894798Z         #pragma omp for 
2022-11-23T01:32:29.6894877Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:29.6894946Z         {
2022-11-23T01:32:29.6895091Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.6895229Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.6895320Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6895420Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:29.6895492Z         }
2022-11-23T01:32:29.6895594Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.6895675Z         for(long i0=160; i0<160; i0+=1)
2022-11-23T01:32:29.6895743Z         {
2022-11-23T01:32:29.6895845Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:29.6895956Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.6896045Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.6896134Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.6896194Z         }
2022-11-23T01:32:29.6896261Z     }
2022-11-23T01:32:29.6896328Z }
2022-11-23T01:32:29.6896414Z ''')
2022-11-23T01:32:29.6896419Z 
2022-11-23T01:32:29.6896424Z 
2022-11-23T01:32:29.6896517Z async_compile.wait(globals())
2022-11-23T01:32:29.6896594Z del async_compile
2022-11-23T01:32:29.6896600Z 
2022-11-23T01:32:29.6896678Z def call(args):
2022-11-23T01:32:29.6896759Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6896828Z     args.clear()
2022-11-23T01:32:29.6897041Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6897216Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2022-11-23T01:32:29.6897428Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6897630Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6897825Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.6897901Z     del arg0_1
2022-11-23T01:32:29.6897965Z     del arg1_1
2022-11-23T01:32:29.6898168Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6898339Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2022-11-23T01:32:29.6898414Z     del buf1
2022-11-23T01:32:29.6898486Z     del buf2
2022-11-23T01:32:29.6898579Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:29.6898686Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.6898773Z     return (buf0, buf4, )
2022-11-23T01:32:29.6898908Z 
2022-11-23T01:32:29.6898913Z 
2022-11-23T01:32:29.6898988Z if __name__ == "__main__":
2022-11-23T01:32:29.6899108Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6899236Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6899448Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6899651Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6899772Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6899777Z 
2022-11-23T01:32:29.6900139Z [2022-11-23 01:22:38,598] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cg/ccgy3kybiovculq6t7zw6kgb2fe5yv5anf3qpzzaujqf6kxi5cdw.py
2022-11-23T01:32:29.6900488Z [2022-11-23 01:22:38,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43
2022-11-23T01:32:29.6900566Z ok (3.433s)
2022-11-23T01:32:29.6900855Z   test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:38,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6901192Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6901415Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6901713Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6901995Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6902318Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6902659Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6902979Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6903346Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391> 
2022-11-23T01:32:29.6903452Z  1392           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6903544Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:29.6903643Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6903749Z                6 LOAD_METHOD              2 (permute)
2022-11-23T01:32:29.6903847Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6903942Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:29.6904038Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:29.6904137Z               14 CALL_METHOD              3
2022-11-23T01:32:29.6904224Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6904317Z               18 CALL_METHOD              2
2022-11-23T01:32:29.6904399Z               20 RETURN_VALUE
2022-11-23T01:32:29.6904466Z  
2022-11-23T01:32:29.6904472Z 
2022-11-23T01:32:29.6904784Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1392
2022-11-23T01:32:29.6905007Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.6905369Z [2022-11-23 01:22:38,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6905684Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6906032Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6906403Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute)]
2022-11-23T01:32:29.6906817Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)]
2022-11-23T01:32:29.6907286Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6907793Z [2022-11-23 01:22:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.6908124Z [2022-11-23 01:22:38,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6908488Z [2022-11-23 01:22:38,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6908740Z [2022-11-23 01:22:38,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6909112Z [2022-11-23 01:22:38,607] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391>
2022-11-23T01:32:29.6909360Z [2022-11-23 01:22:38,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.6909597Z [2022-11-23 01:22:38,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6909852Z [2022-11-23 01:22:38,608] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6910102Z [2022-11-23 01:22:38,610] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6910371Z [2022-11-23 01:22:38,611] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6910523Z  __compiled_fn_45 <eval_with_key>.294 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6910639Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6910738Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6910855Z call_method, permute, permute, (ex_0_, 0, 2, 1), {}
2022-11-23T01:32:29.6911095Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (permute, ex_1_), {}
2022-11-23T01:32:29.6911197Z output, output, output, ((bmm,),), {}
2022-11-23T01:32:29.6911203Z 
2022-11-23T01:32:29.6911524Z [2022-11-23 01:22:38,611] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6911625Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6911714Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6911809Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6911910Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6912000Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6912099Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6912182Z              12 RETURN_VALUE
2022-11-23T01:32:29.6912187Z 
2022-11-23T01:32:29.6912252Z  
2022-11-23T01:32:29.6912566Z [2022-11-23 01:22:38,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6912685Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_45)
2022-11-23T01:32:29.6912782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6912879Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6912961Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6913058Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6913154Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6913228Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6913324Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6913420Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.6913532Z              18 RETURN_VALUE
2022-11-23T01:32:29.6913538Z 
2022-11-23T01:32:29.6913605Z  
2022-11-23T01:32:29.6913793Z [2022-11-23 01:22:38,612] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6913889Z  - 
2022-11-23T01:32:29.6914014Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6914076Z             {
2022-11-23T01:32:29.6914223Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6914412Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6914536Z                 'obj_weakref': None
2022-11-23T01:32:29.6914761Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6914831Z             }
2022-11-23T01:32:29.6914899Z             
2022-11-23T01:32:29.6914967Z  - 
2022-11-23T01:32:29.6915096Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6915165Z             {
2022-11-23T01:32:29.6915313Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6915429Z                 'code': None,
2022-11-23T01:32:29.6915642Z                 'obj_weakref': <weakref at 0x7f20680ad080; to 'Tensor' at 0x7f21159a6890>
2022-11-23T01:32:29.6915888Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6915953Z             }
2022-11-23T01:32:29.6916022Z             
2022-11-23T01:32:29.6916097Z  - 
2022-11-23T01:32:29.6916229Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6916298Z             {
2022-11-23T01:32:29.6916447Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6916562Z                 'code': None,
2022-11-23T01:32:29.6916760Z                 'obj_weakref': <weakref at 0x7f206070ef20; to 'Tensor' at 0x7f212794ac50>
2022-11-23T01:32:29.6917001Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6917070Z             }
2022-11-23T01:32:29.6917141Z             
2022-11-23T01:32:29.6917217Z  - 
2022-11-23T01:32:29.6917349Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6917417Z             {
2022-11-23T01:32:29.6917548Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6917726Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:29.6917848Z                 'obj_weakref': None
2022-11-23T01:32:29.6918077Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6918145Z             }
2022-11-23T01:32:29.6918214Z             
2022-11-23T01:32:29.6918290Z  - 
2022-11-23T01:32:29.6918407Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6918475Z             {
2022-11-23T01:32:29.6918615Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6918837Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6918959Z                 'obj_weakref': None
2022-11-23T01:32:29.6919183Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6919252Z             }
2022-11-23T01:32:29.6919312Z             
2022-11-23T01:32:29.6919390Z  - 
2022-11-23T01:32:29.6919526Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6919594Z             {
2022-11-23T01:32:29.6919718Z                 'guard_types': None,
2022-11-23T01:32:29.6919829Z                 'code': None,
2022-11-23T01:32:29.6919943Z                 'obj_weakref': None
2022-11-23T01:32:29.6920067Z                 'guarded_class': None
2022-11-23T01:32:29.6920135Z             }
2022-11-23T01:32:29.6920204Z             
2022-11-23T01:32:29.6920463Z [2022-11-23 01:22:38,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44
2022-11-23T01:32:29.6920817Z [2022-11-23 01:22:38,618] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77uxrbw5ina5huldvqkkj7pizg437l5fx5jszx24hoqtaaemtjw.py
2022-11-23T01:32:29.6921109Z [2022-11-23 01:22:38,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44
2022-11-23T01:32:29.6921116Z 
2022-11-23T01:32:29.6921220Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6921319Z import torch
2022-11-23T01:32:29.6921409Z import random
2022-11-23T01:32:29.6921547Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6921680Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6921685Z 
2022-11-23T01:32:29.6921769Z aten = torch.ops.aten
2022-11-23T01:32:29.6921910Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6922009Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6922014Z 
2022-11-23T01:32:29.6922093Z import triton
2022-11-23T01:32:29.6922178Z import triton.language as tl
2022-11-23T01:32:29.6922305Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6922449Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6922457Z 
2022-11-23T01:32:29.6922462Z 
2022-11-23T01:32:29.6922555Z async_compile.wait(globals())
2022-11-23T01:32:29.6922634Z del async_compile
2022-11-23T01:32:29.6922639Z 
2022-11-23T01:32:29.6922719Z def call(args):
2022-11-23T01:32:29.6922799Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6922876Z     args.clear()
2022-11-23T01:32:29.6923077Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6923246Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2022-11-23T01:32:29.6923320Z     del arg0_1
2022-11-23T01:32:29.6923394Z     del arg1_1
2022-11-23T01:32:29.6923471Z     return (buf0, )
2022-11-23T01:32:29.6923476Z 
2022-11-23T01:32:29.6923481Z 
2022-11-23T01:32:29.6923561Z if __name__ == "__main__":
2022-11-23T01:32:29.6923680Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6923800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6924011Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6924209Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.6924333Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6924338Z 
2022-11-23T01:32:29.6924410Z ok (0.019s)
2022-11-23T01:32:29.6924707Z   test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6925023Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6925240Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6925492Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6925762Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6926081Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6926437Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6926759Z [2022-11-23 01:22:38,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6927130Z [2022-11-23 01:22:38,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621> 
2022-11-23T01:32:29.6927227Z  623           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6927351Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6927432Z               4 BINARY_ADD
2022-11-23T01:32:29.6927437Z 
2022-11-23T01:32:29.6927532Z 624           6 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6927642Z               8 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6927729Z              10 BINARY_MULTIPLY
2022-11-23T01:32:29.6927734Z 
2022-11-23T01:32:29.6927826Z 625          12 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6927917Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6927995Z              16 BINARY_AND
2022-11-23T01:32:29.6928000Z 
2022-11-23T01:32:29.6928094Z 626          18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6928189Z              20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6928267Z              22 BINARY_OR
2022-11-23T01:32:29.6928272Z 
2022-11-23T01:32:29.6928357Z 627          24 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6928457Z              26 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6928538Z              28 BINARY_XOR
2022-11-23T01:32:29.6928542Z 
2022-11-23T01:32:29.6928644Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6928755Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T01:32:29.6928852Z              34 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6928944Z              36 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6929037Z              38 CALL_METHOD              2
2022-11-23T01:32:29.6929042Z 
2022-11-23T01:32:29.6929133Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6929239Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T01:32:29.6929332Z              44 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6929425Z              46 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6929516Z              48 CALL_METHOD              2
2022-11-23T01:32:29.6929522Z 
2022-11-23T01:32:29.6929619Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6929729Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:29.6929824Z              54 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6929909Z              56 CALL_METHOD              1
2022-11-23T01:32:29.6929918Z 
2022-11-23T01:32:29.6930016Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.6930115Z              60 LOAD_METHOD              4 (sign)
2022-11-23T01:32:29.6930211Z              62 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6930304Z              64 CALL_METHOD              1
2022-11-23T01:32:29.6930309Z 
2022-11-23T01:32:29.6930401Z 622          66 BUILD_TUPLE              9
2022-11-23T01:32:29.6930482Z              68 RETURN_VALUE
2022-11-23T01:32:29.6930540Z  
2022-11-23T01:32:29.6930555Z 
2022-11-23T01:32:29.6930860Z [2022-11-23 01:22:38,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623
2022-11-23T01:32:29.6931076Z [2022-11-23 01:22:38,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.6931319Z [2022-11-23 01:22:38,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.6931592Z [2022-11-23 01:22:38,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6931900Z [2022-11-23 01:22:38,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624
2022-11-23T01:32:29.6932138Z [2022-11-23 01:22:38,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:29.6932404Z [2022-11-23 01:22:38,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6932712Z [2022-11-23 01:22:38,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6933062Z [2022-11-23 01:22:38,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625
2022-11-23T01:32:29.6933323Z [2022-11-23 01:22:38,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6933650Z [2022-11-23 01:22:38,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6933978Z [2022-11-23 01:22:38,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6934288Z [2022-11-23 01:22:38,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626
2022-11-23T01:32:29.6934580Z [2022-11-23 01:22:38,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6934904Z [2022-11-23 01:22:38,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6935255Z [2022-11-23 01:22:38,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6935573Z [2022-11-23 01:22:38,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627
2022-11-23T01:32:29.6935892Z [2022-11-23 01:22:38,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6936236Z [2022-11-23 01:22:38,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6936620Z [2022-11-23 01:22:38,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6936932Z [2022-11-23 01:22:38,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628
2022-11-23T01:32:29.6937281Z [2022-11-23 01:22:38,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6937794Z [2022-11-23 01:22:38,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6938262Z [2022-11-23 01:22:38,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6938752Z [2022-11-23 01:22:38,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6939469Z [2022-11-23 01:22:38,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6939783Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629
2022-11-23T01:32:29.6940206Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6940735Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6941239Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6941740Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6942277Z [2022-11-23 01:22:38,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6942589Z [2022-11-23 01:22:38,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630
2022-11-23T01:32:29.6942989Z [2022-11-23 01:22:38,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6943537Z [2022-11-23 01:22:38,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6944034Z [2022-11-23 01:22:38,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6944572Z [2022-11-23 01:22:38,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6944878Z [2022-11-23 01:22:38,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631
2022-11-23T01:32:29.6945314Z [2022-11-23 01:22:38,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6945893Z [2022-11-23 01:22:38,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.6946420Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.6947003Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.6947316Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622
2022-11-23T01:32:29.6947800Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6948053Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6948420Z [2022-11-23 01:22:38,632] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621>
2022-11-23T01:32:29.6948669Z [2022-11-23 01:22:38,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6948905Z [2022-11-23 01:22:38,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6949170Z [2022-11-23 01:22:38,634] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6949424Z [2022-11-23 01:22:38,641] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6949620Z [2022-11-23 01:22:38,641] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6949761Z  __compiled_fn_46 <eval_with_key>.300 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6949857Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.6949953Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.6950130Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6950382Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6950577Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6950755Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6950934Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6951195Z call_function, logical_and, <built-in method logical_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6951451Z call_function, logical_or, <built-in method logical_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.6951700Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.6951916Z call_function, sign, <built-in method sign of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:29.6952087Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T01:32:29.6952093Z 
2022-11-23T01:32:29.6952425Z [2022-11-23 01:22:38,642] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6952527Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6952627Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6952724Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6952824Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6952917Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6953006Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6953089Z              12 RETURN_VALUE
2022-11-23T01:32:29.6953094Z 
2022-11-23T01:32:29.6953159Z  
2022-11-23T01:32:29.6953482Z [2022-11-23 01:22:38,642] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6953597Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_46)
2022-11-23T01:32:29.6953727Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6953825Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6953913Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.6954024Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6954118Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6954202Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.6954298Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.6954412Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6954524Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6954623Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6954697Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.6954808Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6954902Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.6954984Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.6955095Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6955189Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.6955270Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.6955373Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6955469Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.6955551Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.6955659Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6955754Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.6955835Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.6955945Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6956032Z              50 LOAD_CONST               6 (5)
2022-11-23T01:32:29.6956116Z              52 BINARY_SUBSCR
2022-11-23T01:32:29.6956222Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6956319Z              56 LOAD_CONST               7 (6)
2022-11-23T01:32:29.6956400Z              58 BINARY_SUBSCR
2022-11-23T01:32:29.6956505Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6956598Z              62 LOAD_CONST               8 (7)
2022-11-23T01:32:29.6956675Z              64 BINARY_SUBSCR
2022-11-23T01:32:29.6956781Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6956875Z              68 LOAD_CONST               9 (8)
2022-11-23T01:32:29.6956958Z              70 BINARY_SUBSCR
2022-11-23T01:32:29.6957056Z              72 BUILD_TUPLE              9
2022-11-23T01:32:29.6957139Z              74 RETURN_VALUE
2022-11-23T01:32:29.6957145Z 
2022-11-23T01:32:29.6957213Z  
2022-11-23T01:32:29.6957404Z [2022-11-23 01:22:38,643] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.6957474Z  - 
2022-11-23T01:32:29.6957598Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.6957670Z             {
2022-11-23T01:32:29.6957818Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.6958012Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.6958136Z                 'obj_weakref': None
2022-11-23T01:32:29.6958367Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.6958430Z             }
2022-11-23T01:32:29.6958499Z             
2022-11-23T01:32:29.6958575Z  - 
2022-11-23T01:32:29.6958706Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.6958776Z             {
2022-11-23T01:32:29.6958926Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6959032Z                 'code': None,
2022-11-23T01:32:29.6959242Z                 'obj_weakref': <weakref at 0x7f2068053600; to 'Tensor' at 0x7f21159a6890>
2022-11-23T01:32:29.6959495Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6959565Z             }
2022-11-23T01:32:29.6959635Z             
2022-11-23T01:32:29.6959742Z  - 
2022-11-23T01:32:29.6959872Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.6959941Z             {
2022-11-23T01:32:29.6960081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.6960218Z                 'code': None,
2022-11-23T01:32:29.6960423Z                 'obj_weakref': <weakref at 0x7f2068053c40; to 'Tensor' at 0x7f206070d670>
2022-11-23T01:32:29.6960667Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.6960738Z             }
2022-11-23T01:32:29.6960808Z             
2022-11-23T01:32:29.6960885Z  - 
2022-11-23T01:32:29.6961012Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.6961081Z             {
2022-11-23T01:32:29.6961223Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.6961398Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:29.6961523Z                 'obj_weakref': None
2022-11-23T01:32:29.6961757Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.6961827Z             }
2022-11-23T01:32:29.6961889Z             
2022-11-23T01:32:29.6961969Z  - 
2022-11-23T01:32:29.6962099Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.6962170Z             {
2022-11-23T01:32:29.6962312Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.6962536Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.6962661Z                 'obj_weakref': None
2022-11-23T01:32:29.6962876Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.6962948Z             }
2022-11-23T01:32:29.6963018Z             
2022-11-23T01:32:29.6963095Z  - 
2022-11-23T01:32:29.6963233Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.6963304Z             {
2022-11-23T01:32:29.6963423Z                 'guard_types': None,
2022-11-23T01:32:29.6963536Z                 'code': None,
2022-11-23T01:32:29.6963660Z                 'obj_weakref': None
2022-11-23T01:32:29.6963785Z                 'guarded_class': None
2022-11-23T01:32:29.6963856Z             }
2022-11-23T01:32:29.6963924Z             
2022-11-23T01:32:29.6964184Z [2022-11-23 01:22:38,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45
2022-11-23T01:32:29.6964551Z [2022-11-23 01:22:40,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuv7atbkmiasecla6w4poxzi4xumc3jybqrq2svpdkuxryfyinka.py
2022-11-23T01:32:29.6964805Z [2022-11-23 01:22:40,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45
2022-11-23T01:32:29.6964818Z 
2022-11-23T01:32:29.6964910Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.6964989Z import torch
2022-11-23T01:32:29.6965066Z import random
2022-11-23T01:32:29.6965187Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.6965320Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.6965325Z 
2022-11-23T01:32:29.6965408Z aten = torch.ops.aten
2022-11-23T01:32:29.6965547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.6965640Z async_compile = AsyncCompile()
2022-11-23T01:32:29.6965645Z 
2022-11-23T01:32:29.6965720Z import triton
2022-11-23T01:32:29.6965813Z import triton.language as tl
2022-11-23T01:32:29.6965941Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.6966085Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.6966090Z 
2022-11-23T01:32:29.6966095Z 
2022-11-23T01:32:29.6966232Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.6966442Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.6966567Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:29.6966700Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:29.6966806Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.6966909Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:29.6967066Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:32:29.6967165Z                        bool* __restrict__ out_ptr3,
2022-11-23T01:32:29.6967266Z                        bool* __restrict__ out_ptr4,
2022-11-23T01:32:29.6967365Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:29.6967454Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:32:29.6967552Z                        bool* __restrict__ out_ptr7,
2022-11-23T01:32:29.6967655Z                        bool* __restrict__ out_ptr8)
2022-11-23T01:32:29.6967723Z {
2022-11-23T01:32:29.6967806Z     #pragma GCC ivdep
2022-11-23T01:32:29.6967893Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.6967961Z     {
2022-11-23T01:32:29.6968021Z         {
2022-11-23T01:32:29.6968091Z             {
2022-11-23T01:32:29.6968188Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.6968286Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.6968382Z                 auto tmp2 = tmp0 || tmp1;
2022-11-23T01:32:29.6968479Z                 auto tmp3 = tmp0 && tmp1;
2022-11-23T01:32:29.6968574Z                 auto tmp4 = tmp0 & tmp1;
2022-11-23T01:32:29.6968657Z                 auto tmp5 = tmp0 | tmp1;
2022-11-23T01:32:29.6968748Z                 auto tmp6 = tmp0 ^ tmp1;
2022-11-23T01:32:29.6968845Z                 auto tmp7 = tmp0 == 0;
2022-11-23T01:32:29.6968936Z                 out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.6969023Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.6969108Z                 out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.6969192Z                 out_ptr3[i0] = tmp5;
2022-11-23T01:32:29.6969269Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:32:29.6969355Z                 out_ptr5[i0] = tmp3;
2022-11-23T01:32:29.6969440Z                 out_ptr6[i0] = tmp2;
2022-11-23T01:32:29.6969526Z                 out_ptr7[i0] = tmp7;
2022-11-23T01:32:29.6969611Z                 out_ptr8[i0] = tmp1;
2022-11-23T01:32:29.6969679Z             }
2022-11-23T01:32:29.6969739Z         }
2022-11-23T01:32:29.6969809Z     }
2022-11-23T01:32:29.6969874Z }
2022-11-23T01:32:29.6969970Z ''')
2022-11-23T01:32:29.6969975Z 
2022-11-23T01:32:29.6969980Z 
2022-11-23T01:32:29.6970076Z async_compile.wait(globals())
2022-11-23T01:32:29.6970155Z del async_compile
2022-11-23T01:32:29.6970161Z 
2022-11-23T01:32:29.6970237Z def call(args):
2022-11-23T01:32:29.6970316Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.6970385Z     args.clear()
2022-11-23T01:32:29.6970578Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6970767Z     buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6970951Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6971138Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6971323Z     buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6971503Z     buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6971678Z     buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6971858Z     buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6972036Z     buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6972464Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:29.6972565Z     del arg0_1
2022-11-23T01:32:29.6972651Z     del arg1_1
2022-11-23T01:32:29.6972819Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T01:32:29.6972825Z 
2022-11-23T01:32:29.6972830Z 
2022-11-23T01:32:29.6972971Z if __name__ == "__main__":
2022-11-23T01:32:29.6973097Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.6973374Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.6973560Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6973767Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.6973902Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.6973908Z 
2022-11-23T01:32:29.6973992Z ok (1.586s)
2022-11-23T01:32:29.6974318Z   test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.6974639Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.6974876Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.6975144Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.6975464Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.6975773Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6976133Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6976463Z [2022-11-23 01:22:40,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.6976843Z [2022-11-23 01:22:40,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211> 
2022-11-23T01:32:29.6976960Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6977116Z                2 LOAD_METHOD              1 (add)
2022-11-23T01:32:29.6977229Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6977346Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6977470Z                8 CALL_METHOD              2
2022-11-23T01:32:29.6977476Z 
2022-11-23T01:32:29.6977569Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6977679Z               12 LOAD_METHOD              1 (add)
2022-11-23T01:32:29.6977788Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6977897Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6978005Z               18 CALL_METHOD              2
2022-11-23T01:32:29.6978009Z 
2022-11-23T01:32:29.6978128Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6978244Z               22 LOAD_METHOD              2 (sub)
2022-11-23T01:32:29.6978331Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6978439Z               26 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6978559Z               28 CALL_METHOD              2
2022-11-23T01:32:29.6978564Z 
2022-11-23T01:32:29.6978676Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6978906Z               32 LOAD_METHOD              2 (sub)
2022-11-23T01:32:29.6979020Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6979127Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6979273Z               38 CALL_METHOD              2
2022-11-23T01:32:29.6979279Z 
2022-11-23T01:32:29.6979370Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6979480Z               42 LOAD_METHOD              3 (mul)
2022-11-23T01:32:29.6979641Z               44 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6979765Z               46 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6979872Z               48 CALL_METHOD              2
2022-11-23T01:32:29.6979877Z 
2022-11-23T01:32:29.6980017Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.6980136Z               52 LOAD_METHOD              3 (mul)
2022-11-23T01:32:29.6980241Z               54 LOAD_FAST                1 (b)
2022-11-23T01:32:29.6980328Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:29.6980435Z               58 CALL_METHOD              2
2022-11-23T01:32:29.6980440Z 
2022-11-23T01:32:29.6980545Z 1212          60 BUILD_TUPLE              6
2022-11-23T01:32:29.6980639Z               62 RETURN_VALUE
2022-11-23T01:32:29.6980730Z  
2022-11-23T01:32:29.6980736Z 
2022-11-23T01:32:29.6981069Z [2022-11-23 01:22:40,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213
2022-11-23T01:32:29.6981317Z [2022-11-23 01:22:40,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.6981664Z [2022-11-23 01:22:40,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6981911Z [2022-11-23 01:22:40,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T01:32:29.6982213Z [2022-11-23 01:22:40,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T01:32:29.6982554Z [2022-11-23 01:22:40,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.6982883Z [2022-11-23 01:22:40,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214
2022-11-23T01:32:29.6983144Z [2022-11-23 01:22:40,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.6983498Z [2022-11-23 01:22:40,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6983798Z [2022-11-23 01:22:40,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T01:32:29.6984122Z [2022-11-23 01:22:40,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T01:32:29.6984493Z [2022-11-23 01:22:40,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.6984816Z [2022-11-23 01:22:40,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215
2022-11-23T01:32:29.6985108Z [2022-11-23 01:22:40,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6985459Z [2022-11-23 01:22:40,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6985776Z [2022-11-23 01:22:40,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:29.6986127Z [2022-11-23 01:22:40,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T01:32:29.6986540Z [2022-11-23 01:22:40,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.6986898Z [2022-11-23 01:22:40,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216
2022-11-23T01:32:29.6987252Z [2022-11-23 01:22:40,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6987672Z [2022-11-23 01:22:40,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6988014Z [2022-11-23 01:22:40,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:29.6988391Z [2022-11-23 01:22:40,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T01:32:29.6988822Z [2022-11-23 01:22:40,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.6989147Z [2022-11-23 01:22:40,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217
2022-11-23T01:32:29.6989508Z [2022-11-23 01:22:40,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6989931Z [2022-11-23 01:22:40,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6990358Z [2022-11-23 01:22:40,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:29.6990806Z [2022-11-23 01:22:40,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T01:32:29.6991257Z [2022-11-23 01:22:40,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.6991585Z [2022-11-23 01:22:40,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218
2022-11-23T01:32:29.6991961Z [2022-11-23 01:22:40,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6992412Z [2022-11-23 01:22:40,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.6992809Z [2022-11-23 01:22:40,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:29.6993253Z [2022-11-23 01:22:40,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T01:32:29.6993753Z [2022-11-23 01:22:40,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.6994077Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212
2022-11-23T01:32:29.6994502Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.6994796Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6995183Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211>
2022-11-23T01:32:29.6995447Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.6995679Z [2022-11-23 01:22:40,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.6995953Z [2022-11-23 01:22:40,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.6996238Z [2022-11-23 01:22:40,254] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.6996448Z [2022-11-23 01:22:40,254] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.6996610Z  __compiled_fn_47 <eval_with_key>.306 opcode, name, target, args, kwargs
2022-11-23T01:32:29.6996733Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T01:32:29.6996851Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T01:32:29.6996967Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T01:32:29.6997064Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T01:32:29.6997179Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T01:32:29.6997295Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T01:32:29.6997492Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T01:32:29.6997498Z 
2022-11-23T01:32:29.6997849Z [2022-11-23 01:22:40,255] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6997972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.6998082Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.6998188Z               4 BUILD_MAP                0
2022-11-23T01:32:29.6998285Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.6998390Z               8 DICT_MERGE               1
2022-11-23T01:32:29.6998498Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.6998591Z              12 RETURN_VALUE
2022-11-23T01:32:29.6998596Z 
2022-11-23T01:32:29.6998694Z  
2022-11-23T01:32:29.6999035Z [2022-11-23 01:22:40,255] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.6999164Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_47)
2022-11-23T01:32:29.6999269Z               2 CALL_FUNCTION            0
2022-11-23T01:32:29.6999373Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.6999496Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6999605Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:29.6999701Z              10 BINARY_SUBSCR
2022-11-23T01:32:29.6999865Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.6999989Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7000083Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7000183Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7000291Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7000383Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7000500Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7000605Z              26 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7000703Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7000821Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7000942Z              32 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7001051Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7001170Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7001308Z              38 LOAD_CONST               6 (5)
2022-11-23T01:32:29.7001402Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7001517Z              42 BUILD_TUPLE              6
2022-11-23T01:32:29.7001612Z              44 RETURN_VALUE
2022-11-23T01:32:29.7001617Z 
2022-11-23T01:32:29.7001732Z  
2022-11-23T01:32:29.7001918Z [2022-11-23 01:22:40,256] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7002009Z  - 
2022-11-23T01:32:29.7002162Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7002245Z             {
2022-11-23T01:32:29.7002404Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7002613Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7002750Z                 'obj_weakref': None
2022-11-23T01:32:29.7002974Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7003058Z             }
2022-11-23T01:32:29.7003139Z             
2022-11-23T01:32:29.7003232Z  - 
2022-11-23T01:32:29.7003396Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:29.7003475Z             {
2022-11-23T01:32:29.7003617Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7003828Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 4'],
2022-11-23T01:32:29.7003964Z                 'obj_weakref': None
2022-11-23T01:32:29.7004201Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7004317Z             }
2022-11-23T01:32:29.7004399Z             
2022-11-23T01:32:29.7004486Z  - 
2022-11-23T01:32:29.7004613Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:29.7004713Z             {
2022-11-23T01:32:29.7016738Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7016980Z                 'code': ['___check_type_id(ex[1], 94768292484128)', 'ex[1] == 3.3'],
2022-11-23T01:32:29.7017109Z                 'obj_weakref': None
2022-11-23T01:32:29.7017335Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:29.7017408Z             }
2022-11-23T01:32:29.7017471Z             
2022-11-23T01:32:29.7017550Z  - 
2022-11-23T01:32:29.7017686Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7017755Z             {
2022-11-23T01:32:29.7017896Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7018073Z                 'code': ['___check_obj_id(model, 139780074450096)'],
2022-11-23T01:32:29.7018200Z                 'obj_weakref': None
2022-11-23T01:32:29.7018422Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7018493Z             }
2022-11-23T01:32:29.7018562Z             
2022-11-23T01:32:29.7018637Z  - 
2022-11-23T01:32:29.7018767Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7019098Z             {
2022-11-23T01:32:29.7019240Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7019463Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7019591Z                 'obj_weakref': None
2022-11-23T01:32:29.7019812Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7019881Z             }
2022-11-23T01:32:29.7019948Z             
2022-11-23T01:32:29.7020023Z  - 
2022-11-23T01:32:29.7020159Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7020221Z             {
2022-11-23T01:32:29.7020347Z                 'guard_types': None,
2022-11-23T01:32:29.7020461Z                 'code': None,
2022-11-23T01:32:29.7020585Z                 'obj_weakref': None
2022-11-23T01:32:29.7020712Z                 'guarded_class': None
2022-11-23T01:32:29.7020780Z             }
2022-11-23T01:32:29.7020937Z             
2022-11-23T01:32:29.7021231Z [2022-11-23 01:22:40,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46
2022-11-23T01:32:29.7021628Z [2022-11-23 01:22:41,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfk6kx5j37bycitlq2qdufzg7psz7jwso5r3dwk76xckoirwedlw.py
2022-11-23T01:32:29.7021898Z [2022-11-23 01:22:41,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46
2022-11-23T01:32:29.7021904Z 
2022-11-23T01:32:29.7022005Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7022079Z import torch
2022-11-23T01:32:29.7022157Z import random
2022-11-23T01:32:29.7022279Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7022400Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7022414Z 
2022-11-23T01:32:29.7022490Z aten = torch.ops.aten
2022-11-23T01:32:29.7022634Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7022738Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7022743Z 
2022-11-23T01:32:29.7022818Z import triton
2022-11-23T01:32:29.7022912Z import triton.language as tl
2022-11-23T01:32:29.7023042Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7023187Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7023192Z 
2022-11-23T01:32:29.7023197Z 
2022-11-23T01:32:29.7023329Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7023538Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7023658Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7023763Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.7023865Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.7023967Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7024074Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:29.7024177Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:29.7024238Z {
2022-11-23T01:32:29.7024306Z     {
2022-11-23T01:32:29.7024375Z         {
2022-11-23T01:32:29.7024485Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:29.7024594Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:29.7024685Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7024771Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:29.7024833Z         }
2022-11-23T01:32:29.7024901Z     }
2022-11-23T01:32:29.7024967Z     {
2022-11-23T01:32:29.7025036Z         {
2022-11-23T01:32:29.7025143Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:29.7025248Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:29.7025331Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7025413Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:29.7025481Z         }
2022-11-23T01:32:29.7025549Z     }
2022-11-23T01:32:29.7025615Z     {
2022-11-23T01:32:29.7025685Z         {
2022-11-23T01:32:29.7025789Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:29.7025889Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:29.7026021Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.7026106Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:29.7026174Z         }
2022-11-23T01:32:29.7026243Z     }
2022-11-23T01:32:29.7026311Z     {
2022-11-23T01:32:29.7026371Z         {
2022-11-23T01:32:29.7026479Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:29.7026584Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:29.7026712Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.7026795Z             out_ptr3[0] = tmp2;
2022-11-23T01:32:29.7026863Z         }
2022-11-23T01:32:29.7026930Z     }
2022-11-23T01:32:29.7026989Z     {
2022-11-23T01:32:29.7027056Z         {
2022-11-23T01:32:29.7027160Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:29.7027297Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:29.7027390Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.7027475Z             out_ptr4[0] = tmp2;
2022-11-23T01:32:29.7027544Z         }
2022-11-23T01:32:29.7027628Z     }
2022-11-23T01:32:29.7027695Z     {
2022-11-23T01:32:29.7027765Z         {
2022-11-23T01:32:29.7027872Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:29.7027977Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:29.7028066Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.7028152Z             out_ptr5[0] = tmp2;
2022-11-23T01:32:29.7028212Z         }
2022-11-23T01:32:29.7028278Z     }
2022-11-23T01:32:29.7028344Z }
2022-11-23T01:32:29.7028431Z ''')
2022-11-23T01:32:29.7028437Z 
2022-11-23T01:32:29.7028441Z 
2022-11-23T01:32:29.7028535Z async_compile.wait(globals())
2022-11-23T01:32:29.7028615Z del async_compile
2022-11-23T01:32:29.7028620Z 
2022-11-23T01:32:29.7028699Z def call(args):
2022-11-23T01:32:29.7028886Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7029075Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7029258Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7029449Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7029629Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7029809Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7030047Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:29.7030158Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:29.7030163Z 
2022-11-23T01:32:29.7030168Z 
2022-11-23T01:32:29.7030242Z if __name__ == "__main__":
2022-11-23T01:32:29.7030471Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7030606Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7030713Z     print_performance(lambda: call([]))
2022-11-23T01:32:29.7030719Z 
2022-11-23T01:32:29.7030794Z ok (1.588s)
2022-11-23T01:32:29.7031103Z   test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7031417Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7031640Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7031898Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7032173Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7032497Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7032842Z [2022-11-23 01:22:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7033177Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7033555Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553> 
2022-11-23T01:32:29.7033655Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7033756Z                2 LOAD_CONST               1 (2)
2022-11-23T01:32:29.7033844Z                4 BINARY_MULTIPLY
2022-11-23T01:32:29.7033946Z                6 STORE_FAST               1 (tmp)
2022-11-23T01:32:29.7033985Z 
2022-11-23T01:32:29.7034081Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7034179Z               10 LOAD_METHOD              1 (cat)
2022-11-23T01:32:29.7034299Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7034396Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7034499Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7034597Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7034691Z               20 BUILD_SLICE              2
2022-11-23T01:32:29.7034788Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7034877Z               24 LOAD_CONST               2 (4)
2022-11-23T01:32:29.7034974Z               26 BUILD_SLICE              2
2022-11-23T01:32:29.7035070Z               28 BUILD_TUPLE              2
2022-11-23T01:32:29.7035154Z               30 BINARY_SUBSCR
2022-11-23T01:32:29.7035250Z               32 LOAD_CONST               3 (1)
2022-11-23T01:32:29.7035331Z               34 BINARY_ADD
2022-11-23T01:32:29.7035426Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7035514Z               38 LOAD_CONST               1 (2)
2022-11-23T01:32:29.7035597Z               40 BINARY_ADD
2022-11-23T01:32:29.7035693Z               42 BUILD_TUPLE              3
2022-11-23T01:32:29.7035838Z               44 LOAD_CONST               4 (-1)
2022-11-23T01:32:29.7035931Z               46 CALL_METHOD              2
2022-11-23T01:32:29.7035936Z 
2022-11-23T01:32:29.7036037Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7036137Z               50 LOAD_METHOD              1 (cat)
2022-11-23T01:32:29.7036228Z               52 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.7036326Z               54 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.7036423Z               56 BUILD_TUPLE              2
2022-11-23T01:32:29.7036519Z               58 LOAD_CONST               5 (0)
2022-11-23T01:32:29.7036616Z               60 CALL_METHOD              2
2022-11-23T01:32:29.7036621Z 
2022-11-23T01:32:29.7036721Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7036820Z               64 LOAD_METHOD              1 (cat)
2022-11-23T01:32:29.7036922Z               66 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.7037011Z               68 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.7037115Z               70 LOAD_METHOD              2 (double)
2022-11-23T01:32:29.7037208Z               72 CALL_METHOD              0
2022-11-23T01:32:29.7037305Z               74 BUILD_TUPLE              2
2022-11-23T01:32:29.7037400Z               76 LOAD_CONST               5 (0)
2022-11-23T01:32:29.7037494Z               78 CALL_METHOD              2
2022-11-23T01:32:29.7037500Z 
2022-11-23T01:32:29.7037597Z 2555          80 BUILD_TUPLE              3
2022-11-23T01:32:29.7037672Z               82 RETURN_VALUE
2022-11-23T01:32:29.7037739Z  
2022-11-23T01:32:29.7037744Z 
2022-11-23T01:32:29.7038061Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554
2022-11-23T01:32:29.7038282Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.7038530Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.7038829Z [2022-11-23 01:22:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7039078Z [2022-11-23 01:22:41,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:29.7039389Z [2022-11-23 01:22:41,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556
2022-11-23T01:32:29.7039614Z [2022-11-23 01:22:41,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7040008Z [2022-11-23 01:22:41,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7040331Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7040699Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7041067Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7041481Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7041934Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7042332Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:29.7042763Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7043233Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:29.7043647Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:29.7044048Z [2022-11-23 01:22:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:29.7044410Z [2022-11-23 01:22:41,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7044812Z [2022-11-23 01:22:41,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7045174Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7045567Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7045997Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7046387Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7046740Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:29.7047118Z [2022-11-23 01:22:41,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7047455Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557
2022-11-23T01:32:29.7047706Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.7048098Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7048447Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7048820Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7049224Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7049587Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:29.7049991Z [2022-11-23 01:22:41,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7050301Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558
2022-11-23T01:32:29.7050578Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7051004Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7051379Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7051765Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7052187Z [2022-11-23 01:22:41,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7052652Z [2022-11-23 01:22:41,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T01:32:29.7053072Z [2022-11-23 01:22:41,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7053485Z [2022-11-23 01:22:41,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:29.7053916Z [2022-11-23 01:22:41,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7054246Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555
2022-11-23T01:32:29.7054544Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7054791Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7055164Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553>
2022-11-23T01:32:29.7055416Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7055661Z [2022-11-23 01:22:41,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7055921Z [2022-11-23 01:22:41,810] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7056167Z [2022-11-23 01:22:41,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7056363Z [2022-11-23 01:22:41,817] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7056506Z  __compiled_fn_48 <eval_with_key>.312 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7056602Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7056781Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:29.7057041Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T01:32:29.7057224Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:29.7057402Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:29.7057643Z call_function, cat, <built-in method cat of type object at 0x7f209c394c60>, ((ex_0_, add, add_1), -1), {}
2022-11-23T01:32:29.7057879Z call_function, cat_1, <built-in method cat of type object at 0x7f209c394c60>, ((mul, mul), 0), {}
2022-11-23T01:32:29.7057983Z call_method, double, double, (mul,), {}
2022-11-23T01:32:29.7058223Z call_function, cat_2, <built-in method cat of type object at 0x7f209c394c60>, ((mul, double), 0), {}
2022-11-23T01:32:29.7058339Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T01:32:29.7058344Z 
2022-11-23T01:32:29.7058676Z [2022-11-23 01:22:41,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7058780Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7059005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7059091Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7059200Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7059293Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7059390Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7059474Z              12 RETURN_VALUE
2022-11-23T01:32:29.7059480Z 
2022-11-23T01:32:29.7059547Z  
2022-11-23T01:32:29.7059877Z [2022-11-23 01:22:41,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7059996Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_48)
2022-11-23T01:32:29.7060086Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7060185Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7060312Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7060410Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7060523Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7060662Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7060760Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7060836Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7060944Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7061040Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7061124Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7061235Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7061330Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7061415Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7061503Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.7061586Z              32 RETURN_VALUE
2022-11-23T01:32:29.7061592Z 
2022-11-23T01:32:29.7061663Z  
2022-11-23T01:32:29.7061857Z [2022-11-23 01:22:41,818] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7061935Z  - 
2022-11-23T01:32:29.7062063Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7062138Z             {
2022-11-23T01:32:29.7062279Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7062475Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7062602Z                 'obj_weakref': None
2022-11-23T01:32:29.7062829Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7062900Z             }
2022-11-23T01:32:29.7062969Z             
2022-11-23T01:32:29.7063047Z  - 
2022-11-23T01:32:29.7063169Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7063239Z             {
2022-11-23T01:32:29.7063390Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7063501Z                 'code': None,
2022-11-23T01:32:29.7063718Z                 'obj_weakref': <weakref at 0x7f2115adbbf0; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.7063977Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7064051Z             }
2022-11-23T01:32:29.7064121Z             
2022-11-23T01:32:29.7064190Z  - 
2022-11-23T01:32:29.7064327Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7064398Z             {
2022-11-23T01:32:29.7064541Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7064720Z                 'code': ['___check_obj_id(model, 139780074450096)'],
2022-11-23T01:32:29.7064847Z                 'obj_weakref': None
2022-11-23T01:32:29.7065080Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7065142Z             }
2022-11-23T01:32:29.7065212Z             
2022-11-23T01:32:29.7065289Z  - 
2022-11-23T01:32:29.7065421Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7065493Z             {
2022-11-23T01:32:29.7065637Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7065853Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7065983Z                 'obj_weakref': None
2022-11-23T01:32:29.7066210Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7066282Z             }
2022-11-23T01:32:29.7066352Z             
2022-11-23T01:32:29.7066428Z  - 
2022-11-23T01:32:29.7066571Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7066634Z             {
2022-11-23T01:32:29.7066761Z                 'guard_types': None,
2022-11-23T01:32:29.7066877Z                 'code': None,
2022-11-23T01:32:29.7067002Z                 'obj_weakref': None
2022-11-23T01:32:29.7067134Z                 'guarded_class': None
2022-11-23T01:32:29.7067205Z             }
2022-11-23T01:32:29.7067274Z             
2022-11-23T01:32:29.7067577Z [2022-11-23 01:22:41,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47
2022-11-23T01:32:29.7067963Z [2022-11-23 01:22:43,448] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2t/c2thw2ghttg5gj4ngrvyta6qx3a4sfedzrk2mdlqfwnuw3eyg42y.py
2022-11-23T01:32:29.7068255Z [2022-11-23 01:22:43,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47
2022-11-23T01:32:29.7068261Z 
2022-11-23T01:32:29.7068364Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7068440Z import torch
2022-11-23T01:32:29.7068515Z import random
2022-11-23T01:32:29.7068641Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7068768Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7068773Z 
2022-11-23T01:32:29.7068862Z aten = torch.ops.aten
2022-11-23T01:32:29.7068996Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7069101Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7069106Z 
2022-11-23T01:32:29.7069181Z import triton
2022-11-23T01:32:29.7069276Z import triton.language as tl
2022-11-23T01:32:29.7069403Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7069551Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7069556Z 
2022-11-23T01:32:29.7069561Z 
2022-11-23T01:32:29.7069699Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7069911Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7070031Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7070140Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7070311Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.7070428Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.7070547Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7070658Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:29.7070765Z                        double* __restrict__ out_ptr5,
2022-11-23T01:32:29.7070862Z                        double* __restrict__ out_ptr6)
2022-11-23T01:32:29.7070934Z {
2022-11-23T01:32:29.7071041Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7071108Z     {
2022-11-23T01:32:29.7071192Z         #pragma omp for 
2022-11-23T01:32:29.7071280Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7071350Z         {
2022-11-23T01:32:29.7071434Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.7071505Z             {
2022-11-23T01:32:29.7071665Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:32:29.7071811Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.7071907Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7072020Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T01:32:29.7072134Z                 tmp2.store(out_ptr1 + (8*i1) + (36*i0));
2022-11-23T01:32:29.7072203Z             }
2022-11-23T01:32:29.7072295Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.7072390Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:29.7072463Z             {
2022-11-23T01:32:29.7072569Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:29.7072675Z                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.7072769Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7072869Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:32:29.7072959Z                 out_ptr1[i1 + (36*i0)] = tmp2;
2022-11-23T01:32:29.7073029Z             }
2022-11-23T01:32:29.7073098Z         }
2022-11-23T01:32:29.7073182Z         #pragma omp for 
2022-11-23T01:32:29.7073270Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7073340Z         {
2022-11-23T01:32:29.7073420Z             #pragma GCC ivdep
2022-11-23T01:32:29.7073541Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.7073612Z             {
2022-11-23T01:32:29.7073684Z                 {
2022-11-23T01:32:29.7073760Z                     {
2022-11-23T01:32:29.7073873Z                         auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:29.7074009Z                         auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.7074104Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7074208Z                         out_ptr2[i1 + (36*i0)] = tmp2;
2022-11-23T01:32:29.7074282Z                     }
2022-11-23T01:32:29.7074354Z                 }
2022-11-23T01:32:29.7074424Z             }
2022-11-23T01:32:29.7074492Z         }
2022-11-23T01:32:29.7074575Z         #pragma omp for 
2022-11-23T01:32:29.7074657Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:29.7074728Z         {
2022-11-23T01:32:29.7074798Z             {
2022-11-23T01:32:29.7074870Z                 {
2022-11-23T01:32:29.7074969Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7075083Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.7075188Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.7075295Z                     auto tmp3 = static_cast<double>(tmp2);
2022-11-23T01:32:29.7075391Z                     out_ptr3[i0] = tmp2;
2022-11-23T01:32:29.7075483Z                     out_ptr4[i0] = tmp2;
2022-11-23T01:32:29.7075573Z                     out_ptr5[i0] = tmp3;
2022-11-23T01:32:29.7075662Z                     out_ptr6[i0] = tmp3;
2022-11-23T01:32:29.7075736Z                 }
2022-11-23T01:32:29.7075805Z             }
2022-11-23T01:32:29.7075866Z         }
2022-11-23T01:32:29.7075934Z     }
2022-11-23T01:32:29.7076000Z }
2022-11-23T01:32:29.7076090Z ''')
2022-11-23T01:32:29.7076096Z 
2022-11-23T01:32:29.7076100Z 
2022-11-23T01:32:29.7076197Z async_compile.wait(globals())
2022-11-23T01:32:29.7076277Z del async_compile
2022-11-23T01:32:29.7076282Z 
2022-11-23T01:32:29.7076357Z def call(args):
2022-11-23T01:32:29.7076425Z     arg0_1, = args
2022-11-23T01:32:29.7076505Z     args.clear()
2022-11-23T01:32:29.7076710Z     buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7076820Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T01:32:29.7076934Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T01:32:29.7077044Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T01:32:29.7077251Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7077351Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T01:32:29.7077461Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:29.7077662Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:29.7077769Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T01:32:29.7077881Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:29.7078170Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:29.7078248Z     del arg0_1
2022-11-23T01:32:29.7078340Z     return (buf3, buf6, buf9, )
2022-11-23T01:32:29.7078345Z 
2022-11-23T01:32:29.7078350Z 
2022-11-23T01:32:29.7078432Z if __name__ == "__main__":
2022-11-23T01:32:29.7078545Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7078675Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7078876Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7078992Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7078997Z 
2022-11-23T01:32:29.7079070Z ok (1.655s)
2022-11-23T01:32:29.7079420Z   test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7079742Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7079983Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7080230Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7080506Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7080822Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7081162Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7081491Z [2022-11-23 01:22:43,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7081867Z [2022-11-23 01:22:43,475] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580> 
2022-11-23T01:32:29.7081978Z  2581           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7082079Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:29.7082181Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:32:29.7082271Z                6 LOAD_FAST                2 (x3)
2022-11-23T01:32:29.7082368Z                8 CALL_METHOD              2
2022-11-23T01:32:29.7082467Z               10 STORE_FAST               4 (x)
2022-11-23T01:32:29.7082472Z 
2022-11-23T01:32:29.7082575Z 2582          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7082678Z               14 LOAD_METHOD              2 (narrow)
2022-11-23T01:32:29.7082778Z               16 LOAD_FAST                4 (x)
2022-11-23T01:32:29.7082876Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7082974Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7083069Z               22 LOAD_CONST               3 (100)
2022-11-23T01:32:29.7083166Z               24 CALL_METHOD              4
2022-11-23T01:32:29.7083264Z               26 STORE_FAST               5 (s)
2022-11-23T01:32:29.7083269Z 
2022-11-23T01:32:29.7083373Z 2583          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7083477Z               30 LOAD_METHOD              1 (mm)
2022-11-23T01:32:29.7083573Z               32 LOAD_FAST                5 (s)
2022-11-23T01:32:29.7083672Z               34 LOAD_FAST                3 (x4)
2022-11-23T01:32:29.7083760Z               36 CALL_METHOD              2
2022-11-23T01:32:29.7083858Z               38 STORE_FAST               4 (x)
2022-11-23T01:32:29.7083863Z 
2022-11-23T01:32:29.7083966Z 2584          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7084066Z               42 LOAD_METHOD              3 (cat)
2022-11-23T01:32:29.7084163Z               44 LOAD_FAST                4 (x)
2022-11-23T01:32:29.7084265Z               46 LOAD_FAST                0 (x1)
2022-11-23T01:32:29.7084361Z               48 BUILD_TUPLE              2
2022-11-23T01:32:29.7084456Z               50 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7084543Z               52 CALL_METHOD              2
2022-11-23T01:32:29.7084639Z               54 STORE_FAST               6 (c)
2022-11-23T01:32:29.7084644Z 
2022-11-23T01:32:29.7084740Z 2585          56 LOAD_FAST                6 (c)
2022-11-23T01:32:29.7084833Z               58 BUILD_TUPLE              1
2022-11-23T01:32:29.7084918Z               60 RETURN_VALUE
2022-11-23T01:32:29.7084986Z  
2022-11-23T01:32:29.7084992Z 
2022-11-23T01:32:29.7085336Z [2022-11-23 01:22:43,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2581
2022-11-23T01:32:29.7085563Z [2022-11-23 01:22:43,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7085914Z [2022-11-23 01:22:43,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7086255Z [2022-11-23 01:22:43,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7086597Z [2022-11-23 01:22:43,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7086965Z [2022-11-23 01:22:43,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7087211Z [2022-11-23 01:22:43,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:29.7087523Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2582
2022-11-23T01:32:29.7087749Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7088107Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7088425Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7088767Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7089147Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7089562Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7090011Z [2022-11-23 01:22:43,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7090246Z [2022-11-23 01:22:43,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()]
2022-11-23T01:32:29.7090559Z [2022-11-23 01:22:43,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2583
2022-11-23T01:32:29.7090781Z [2022-11-23 01:22:43,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7091141Z [2022-11-23 01:22:43,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7091456Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7091790Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7092155Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7092422Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:29.7092729Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2584
2022-11-23T01:32:29.7093014Z [2022-11-23 01:22:43,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7093378Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7093689Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7094036Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7094411Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7094751Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:29.7095126Z [2022-11-23 01:22:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7095364Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:29.7095676Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2585
2022-11-23T01:32:29.7095895Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:29.7096146Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.7096401Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7096786Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580>
2022-11-23T01:32:29.7097031Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7097273Z [2022-11-23 01:22:43,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7097531Z [2022-11-23 01:22:43,482] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7097788Z [2022-11-23 01:22:43,486] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7097986Z [2022-11-23 01:22:43,487] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7098130Z  __compiled_fn_49 <eval_with_key>.318 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7098229Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7098323Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7098408Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.7098502Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:29.7098735Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (ex_1_, ex_2_), {}
2022-11-23T01:32:29.7099177Z call_function, narrow, <built-in method narrow of type object at 0x7f209c394c60>, (mm, 1, 0, 100), {}
2022-11-23T01:32:29.7099411Z call_function, mm_1, <built-in method mm of type object at 0x7f209c394c60>, (narrow, ex_3_), {}
2022-11-23T01:32:29.7099653Z call_function, cat, <built-in method cat of type object at 0x7f209c394c60>, ((mm_1, ex_0_), 1), {}
2022-11-23T01:32:29.7099804Z output, output, output, ((cat,),), {}
2022-11-23T01:32:29.7099812Z 
2022-11-23T01:32:29.7100146Z [2022-11-23 01:22:43,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7100280Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7100372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7100467Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7100570Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7100663Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7100761Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7100849Z              12 RETURN_VALUE
2022-11-23T01:32:29.7100855Z 
2022-11-23T01:32:29.7100923Z  
2022-11-23T01:32:29.7101253Z [2022-11-23 01:22:43,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7101375Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_49)
2022-11-23T01:32:29.7101475Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7101581Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7101665Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7101761Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7101858Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7101934Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7102028Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7102123Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7102205Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.7102299Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7102394Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7102477Z              24 BINARY_SUBSCR
2022-11-23T01:32:29.7102574Z              26 CALL_FUNCTION            4
2022-11-23T01:32:29.7102684Z              28 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7102798Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7102895Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7102979Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7103077Z              36 BUILD_TUPLE              1
2022-11-23T01:32:29.7103158Z              38 RETURN_VALUE
2022-11-23T01:32:29.7103163Z 
2022-11-23T01:32:29.7103229Z  
2022-11-23T01:32:29.7103411Z [2022-11-23 01:22:43,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7103490Z  - 
2022-11-23T01:32:29.7103616Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7103685Z             {
2022-11-23T01:32:29.7103829Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7104023Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:29.7104147Z                 'obj_weakref': None
2022-11-23T01:32:29.7104367Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7104439Z             }
2022-11-23T01:32:29.7104507Z             
2022-11-23T01:32:29.7104587Z  - 
2022-11-23T01:32:29.7104719Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7104788Z             {
2022-11-23T01:32:29.7104936Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7105041Z                 'code': None,
2022-11-23T01:32:29.7105253Z                 'obj_weakref': <weakref at 0x7f20606e68e0; to 'Tensor' at 0x7f2068053bf0>
2022-11-23T01:32:29.7105505Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7105575Z             }
2022-11-23T01:32:29.7105643Z             
2022-11-23T01:32:29.7105719Z  - 
2022-11-23T01:32:29.7105846Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7105908Z             {
2022-11-23T01:32:29.7106098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7106210Z                 'code': None,
2022-11-23T01:32:29.7106417Z                 'obj_weakref': <weakref at 0x7f20606e5490; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.7106686Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7106757Z             }
2022-11-23T01:32:29.7106825Z             
2022-11-23T01:32:29.7106894Z  - 
2022-11-23T01:32:29.7107023Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.7107092Z             {
2022-11-23T01:32:29.7107239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7107350Z                 'code': None,
2022-11-23T01:32:29.7107559Z                 'obj_weakref': <weakref at 0x7f20606e41d0; to 'Tensor' at 0x7f206070ff10>
2022-11-23T01:32:29.7107802Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7107865Z             }
2022-11-23T01:32:29.7107937Z             
2022-11-23T01:32:29.7108013Z  - 
2022-11-23T01:32:29.7108140Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:29.7108208Z             {
2022-11-23T01:32:29.7108353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7108468Z                 'code': None,
2022-11-23T01:32:29.7108664Z                 'obj_weakref': <weakref at 0x7f20606e7f10; to 'Tensor' at 0x7f2127a1ffb0>
2022-11-23T01:32:29.7108905Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7108976Z             }
2022-11-23T01:32:29.7109045Z             
2022-11-23T01:32:29.7109121Z  - 
2022-11-23T01:32:29.7109257Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7109326Z             {
2022-11-23T01:32:29.7109459Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7109637Z                 'code': ['___check_obj_id(model, 139780074956416)'],
2022-11-23T01:32:29.7109765Z                 'obj_weakref': None
2022-11-23T01:32:29.7109995Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7110064Z             }
2022-11-23T01:32:29.7110135Z             
2022-11-23T01:32:29.7110211Z  - 
2022-11-23T01:32:29.7110410Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7110494Z             {
2022-11-23T01:32:29.7110657Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7110876Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7111000Z                 'obj_weakref': None
2022-11-23T01:32:29.7111227Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7111296Z             }
2022-11-23T01:32:29.7111357Z             
2022-11-23T01:32:29.7111432Z  - 
2022-11-23T01:32:29.7111572Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7111639Z             {
2022-11-23T01:32:29.7111767Z                 'guard_types': None,
2022-11-23T01:32:29.7111881Z                 'code': None,
2022-11-23T01:32:29.7112004Z                 'obj_weakref': None
2022-11-23T01:32:29.7112123Z                 'guarded_class': None
2022-11-23T01:32:29.7112196Z             }
2022-11-23T01:32:29.7112265Z             
2022-11-23T01:32:29.7112527Z [2022-11-23 01:22:43,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48
2022-11-23T01:32:29.7112892Z [2022-11-23 01:22:45,095] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckhadu22kkxrszb4aikc2bh37cmubm42ivyqbnto4rpwnriku4g7.py
2022-11-23T01:32:29.7113158Z [2022-11-23 01:22:45,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48
2022-11-23T01:32:29.7113164Z 
2022-11-23T01:32:29.7113265Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7113341Z import torch
2022-11-23T01:32:29.7113409Z import random
2022-11-23T01:32:29.7113583Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7113711Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7113717Z 
2022-11-23T01:32:29.7113801Z aten = torch.ops.aten
2022-11-23T01:32:29.7113970Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7114071Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7114076Z 
2022-11-23T01:32:29.7114150Z import triton
2022-11-23T01:32:29.7114236Z import triton.language as tl
2022-11-23T01:32:29.7114363Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7114507Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7114512Z 
2022-11-23T01:32:29.7114517Z 
2022-11-23T01:32:29.7114657Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7114868Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7114994Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7115105Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.7115172Z {
2022-11-23T01:32:29.7115268Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7115336Z     {
2022-11-23T01:32:29.7115420Z         #pragma omp for 
2022-11-23T01:32:29.7115514Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:29.7115586Z         {
2022-11-23T01:32:29.7115678Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:29.7115747Z             {
2022-11-23T01:32:29.7115892Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (256*i0));
2022-11-23T01:32:29.7116005Z                 tmp0.store(out_ptr0 + (8*i1) + (512*i0));
2022-11-23T01:32:29.7116075Z             }
2022-11-23T01:32:29.7116174Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.7116269Z             for(long i1=256; i1<256; i1+=1)
2022-11-23T01:32:29.7116339Z             {
2022-11-23T01:32:29.7116443Z                 auto tmp0 = in_ptr0[i1 + (256*i0)];
2022-11-23T01:32:29.7116536Z                 out_ptr0[i1 + (512*i0)] = tmp0;
2022-11-23T01:32:29.7116607Z             }
2022-11-23T01:32:29.7116677Z         }
2022-11-23T01:32:29.7116745Z     }
2022-11-23T01:32:29.7116809Z }
2022-11-23T01:32:29.7116896Z ''')
2022-11-23T01:32:29.7116905Z 
2022-11-23T01:32:29.7116910Z 
2022-11-23T01:32:29.7117004Z async_compile.wait(globals())
2022-11-23T01:32:29.7117076Z del async_compile
2022-11-23T01:32:29.7117081Z 
2022-11-23T01:32:29.7117160Z def call(args):
2022-11-23T01:32:29.7117255Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:29.7117334Z     args.clear()
2022-11-23T01:32:29.7117544Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7117645Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:29.7117719Z     del arg1_1
2022-11-23T01:32:29.7117784Z     del arg2_1
2022-11-23T01:32:29.7117990Z     buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7118103Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2022-11-23T01:32:29.7118237Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2022-11-23T01:32:29.7118312Z     del arg3_1
2022-11-23T01:32:29.7118384Z     del buf0
2022-11-23T01:32:29.7118503Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2022-11-23T01:32:29.7118638Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.7118712Z     del arg0_1
2022-11-23T01:32:29.7118789Z     return (buf3, )
2022-11-23T01:32:29.7118794Z 
2022-11-23T01:32:29.7118799Z 
2022-11-23T01:32:29.7118880Z if __name__ == "__main__":
2022-11-23T01:32:29.7119003Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7119132Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7119341Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7119552Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7119778Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7119983Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7120143Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:29.7120149Z 
2022-11-23T01:32:29.7120221Z ok (1.654s)
2022-11-23T01:32:29.7120536Z   test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:22:45,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7120853Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7121071Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7121327Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7121608Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7121917Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7122260Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7122583Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7122948Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567> 
2022-11-23T01:32:29.7123049Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7123151Z                2 LOAD_ATTR                1 (cat)
2022-11-23T01:32:29.7123257Z                4 LOAD_METHOD              2 (default)
2022-11-23T01:32:29.7123357Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T01:32:29.7123463Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T01:32:29.7123551Z               10 BUILD_LIST               2
2022-11-23T01:32:29.7123647Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7123742Z               14 CALL_METHOD              2
2022-11-23T01:32:29.7123847Z               16 STORE_FAST               2 (cat_1)
2022-11-23T01:32:29.7123853Z 
2022-11-23T01:32:29.7123952Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T01:32:29.7124049Z               20 BUILD_TUPLE              1
2022-11-23T01:32:29.7124132Z               22 RETURN_VALUE
2022-11-23T01:32:29.7124199Z  
2022-11-23T01:32:29.7124204Z 
2022-11-23T01:32:29.7124514Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568
2022-11-23T01:32:29.7124733Z [2022-11-23 01:22:45,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7125039Z [2022-11-23 01:22:45,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7125310Z [2022-11-23 01:22:45,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T01:32:29.7125577Z [2022-11-23 01:22:45,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T01:32:29.7125880Z [2022-11-23 01:22:45,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T01:32:29.7126202Z [2022-11-23 01:22:45,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7126518Z [2022-11-23 01:22:45,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T01:32:29.7126850Z [2022-11-23 01:22:45,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7127123Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T01:32:29.7127430Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569
2022-11-23T01:32:29.7127652Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T01:32:29.7127900Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.7128157Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7128537Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567>
2022-11-23T01:32:29.7128789Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7129028Z [2022-11-23 01:22:45,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7129287Z [2022-11-23 01:22:45,117] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7129543Z [2022-11-23 01:22:45,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7129738Z [2022-11-23 01:22:45,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7129873Z  __compiled_fn_50 <eval_with_key>.324 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7129970Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7130066Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7130208Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T01:32:29.7130324Z output, output, output, ((cat_default,),), {}
2022-11-23T01:32:29.7130330Z 
2022-11-23T01:32:29.7130660Z [2022-11-23 01:22:45,121] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7130762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7130863Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7130950Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7131051Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7131144Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7131244Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7131326Z              12 RETURN_VALUE
2022-11-23T01:32:29.7131331Z 
2022-11-23T01:32:29.7131401Z  
2022-11-23T01:32:29.7131724Z [2022-11-23 01:22:45,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7131836Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_50)
2022-11-23T01:32:29.7131932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7132030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7132114Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7132211Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7132307Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7132389Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7132475Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7132586Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7132695Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7132820Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7132905Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7132998Z              24 BUILD_TUPLE              1
2022-11-23T01:32:29.7133080Z              26 RETURN_VALUE
2022-11-23T01:32:29.7133106Z 
2022-11-23T01:32:29.7133175Z  
2022-11-23T01:32:29.7133357Z [2022-11-23 01:22:45,122] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7133434Z  - 
2022-11-23T01:32:29.7133557Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7133628Z             {
2022-11-23T01:32:29.7133776Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7133968Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7134096Z                 'obj_weakref': None
2022-11-23T01:32:29.7134314Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7134386Z             }
2022-11-23T01:32:29.7134455Z             
2022-11-23T01:32:29.7134531Z  - 
2022-11-23T01:32:29.7134662Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7134733Z             {
2022-11-23T01:32:29.7134881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7134990Z                 'code': None,
2022-11-23T01:32:29.7135203Z                 'obj_weakref': <weakref at 0x7f2060737a60; to 'Tensor' at 0x7f20680b1350>
2022-11-23T01:32:29.7135452Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7135521Z             }
2022-11-23T01:32:29.7135591Z             
2022-11-23T01:32:29.7135669Z  - 
2022-11-23T01:32:29.7135798Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7135860Z             {
2022-11-23T01:32:29.7136005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7136117Z                 'code': None,
2022-11-23T01:32:29.7136330Z                 'obj_weakref': <weakref at 0x7f2060735a30; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.7136582Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7136653Z             }
2022-11-23T01:32:29.7136723Z             
2022-11-23T01:32:29.7136795Z  - 
2022-11-23T01:32:29.7136930Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7137000Z             {
2022-11-23T01:32:29.7137142Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7137318Z                 'code': ['___check_obj_id(model, 139780074956416)'],
2022-11-23T01:32:29.7137444Z                 'obj_weakref': None
2022-11-23T01:32:29.7137673Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7137735Z             }
2022-11-23T01:32:29.7137804Z             
2022-11-23T01:32:29.7137883Z  - 
2022-11-23T01:32:29.7138011Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7138080Z             {
2022-11-23T01:32:29.7138221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7138446Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7138562Z                 'obj_weakref': None
2022-11-23T01:32:29.7138978Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7139054Z             }
2022-11-23T01:32:29.7139125Z             
2022-11-23T01:32:29.7139203Z  - 
2022-11-23T01:32:29.7139339Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7139408Z             {
2022-11-23T01:32:29.7139525Z                 'guard_types': None,
2022-11-23T01:32:29.7139638Z                 'code': None,
2022-11-23T01:32:29.7139759Z                 'obj_weakref': None
2022-11-23T01:32:29.7139886Z                 'guarded_class': None
2022-11-23T01:32:29.7139956Z             }
2022-11-23T01:32:29.7140025Z             
2022-11-23T01:32:29.7140277Z [2022-11-23 01:22:45,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49
2022-11-23T01:32:29.7140687Z [2022-11-23 01:22:46,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ft/cftvadzipev5xq362yx65zhwafvz3cuxsorqwleglrfhfi3rcxm2.py
2022-11-23T01:32:29.7140977Z [2022-11-23 01:22:46,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49
2022-11-23T01:32:29.7140983Z 
2022-11-23T01:32:29.7141088Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7141164Z import torch
2022-11-23T01:32:29.7141240Z import random
2022-11-23T01:32:29.7141362Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7141490Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7141496Z 
2022-11-23T01:32:29.7141582Z aten = torch.ops.aten
2022-11-23T01:32:29.7141716Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7141814Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7141819Z 
2022-11-23T01:32:29.7141896Z import triton
2022-11-23T01:32:29.7141992Z import triton.language as tl
2022-11-23T01:32:29.7142121Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7142265Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7142274Z 
2022-11-23T01:32:29.7142278Z 
2022-11-23T01:32:29.7142418Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7142628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7142748Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7142861Z                        const half* __restrict__ in_ptr1,
2022-11-23T01:32:29.7142967Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7143071Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7143138Z {
2022-11-23T01:32:29.7143242Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7143310Z     {
2022-11-23T01:32:29.7143386Z         #pragma omp for 
2022-11-23T01:32:29.7143474Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7143545Z         {
2022-11-23T01:32:29.7143636Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.7143705Z             {
2022-11-23T01:32:29.7143860Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:32:29.7143977Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T01:32:29.7144039Z             }
2022-11-23T01:32:29.7144139Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.7144230Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:29.7144302Z             {
2022-11-23T01:32:29.7144406Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:29.7144505Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:32:29.7144574Z             }
2022-11-23T01:32:29.7144636Z         }
2022-11-23T01:32:29.7144717Z         #pragma omp for 
2022-11-23T01:32:29.7144805Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7144873Z         {
2022-11-23T01:32:29.7144963Z             #pragma GCC ivdep
2022-11-23T01:32:29.7145056Z             for(long i1=0; i1<20; i1+=1)
2022-11-23T01:32:29.7145118Z             {
2022-11-23T01:32:29.7145190Z                 {
2022-11-23T01:32:29.7145265Z                     {
2022-11-23T01:32:29.7145398Z                         auto tmp0 = static_cast<float>(in_ptr1[i1 + (20*i0)]);
2022-11-23T01:32:29.7145516Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7145620Z                         out_ptr1[i1 + (36*i0)] = tmp1;
2022-11-23T01:32:29.7145693Z                     }
2022-11-23T01:32:29.7145756Z                 }
2022-11-23T01:32:29.7145826Z             }
2022-11-23T01:32:29.7145895Z         }
2022-11-23T01:32:29.7145962Z     }
2022-11-23T01:32:29.7146027Z }
2022-11-23T01:32:29.7146116Z ''')
2022-11-23T01:32:29.7146121Z 
2022-11-23T01:32:29.7146126Z 
2022-11-23T01:32:29.7146220Z async_compile.wait(globals())
2022-11-23T01:32:29.7146292Z del async_compile
2022-11-23T01:32:29.7146305Z 
2022-11-23T01:32:29.7146401Z def call(args):
2022-11-23T01:32:29.7146484Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7146562Z     args.clear()
2022-11-23T01:32:29.7146766Z     buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7146901Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T01:32:29.7147011Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T01:32:29.7147206Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7147273Z     del arg0_1
2022-11-23T01:32:29.7147349Z     del arg1_1
2022-11-23T01:32:29.7147426Z     return (buf2, )
2022-11-23T01:32:29.7147432Z 
2022-11-23T01:32:29.7147437Z 
2022-11-23T01:32:29.7147520Z if __name__ == "__main__":
2022-11-23T01:32:29.7147640Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7147771Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7147977Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7148168Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:29.7148294Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7148304Z 
2022-11-23T01:32:29.7148376Z ok (1.602s)
2022-11-23T01:32:29.7148681Z   test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7148999Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7149220Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7149474Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7149761Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7150078Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7150511Z [2022-11-23 01:22:46,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7150823Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7151189Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357> 
2022-11-23T01:32:29.7151293Z  2358           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7151393Z                2 LOAD_METHOD              1 (sum)
2022-11-23T01:32:29.7151496Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7151595Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7151706Z                8 LOAD_METHOD              2 (unsqueeze)
2022-11-23T01:32:29.7151805Z               10 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7151939Z               12 LOAD_CONST               2 (-1)
2022-11-23T01:32:29.7152033Z               14 CALL_METHOD              2
2022-11-23T01:32:29.7152129Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:29.7152216Z               18 BINARY_SUBTRACT
2022-11-23T01:32:29.7152304Z               20 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7152397Z               22 CALL_METHOD              1
2022-11-23T01:32:29.7152477Z               24 RETURN_VALUE
2022-11-23T01:32:29.7152535Z  
2022-11-23T01:32:29.7152541Z 
2022-11-23T01:32:29.7152856Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2358
2022-11-23T01:32:29.7153111Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7153468Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7153804Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7154159Z [2022-11-23 01:22:46,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.7154660Z [2022-11-23 01:22:46,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7155112Z [2022-11-23 01:22:46,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7155594Z [2022-11-23 01:22:46,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7156116Z [2022-11-23 01:22:46,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7156488Z [2022-11-23 01:22:46,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.7156902Z [2022-11-23 01:22:46,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7157291Z [2022-11-23 01:22:46,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.7157630Z [2022-11-23 01:22:46,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7157878Z [2022-11-23 01:22:46,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.7158245Z [2022-11-23 01:22:46,715] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357>
2022-11-23T01:32:29.7158495Z [2022-11-23 01:22:46,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.7158731Z [2022-11-23 01:22:46,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7158985Z [2022-11-23 01:22:46,716] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7159236Z [2022-11-23 01:22:46,719] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7159428Z [2022-11-23 01:22:46,720] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7159570Z  __compiled_fn_51 <eval_with_key>.330 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7159665Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7159796Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7160040Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:29.7160262Z call_function, sub, <built-in function sub>, (unsqueeze, ex_1_), {}
2022-11-23T01:32:29.7160448Z call_function, truediv, <built-in function truediv>, (1, sub), {}
2022-11-23T01:32:29.7160675Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (truediv,), {}
2022-11-23T01:32:29.7160777Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:29.7160782Z 
2022-11-23T01:32:29.7161104Z [2022-11-23 01:22:46,720] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7161207Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7161305Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7161391Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7161493Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7161585Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7161680Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7161769Z              12 RETURN_VALUE
2022-11-23T01:32:29.7161774Z 
2022-11-23T01:32:29.7161842Z  
2022-11-23T01:32:29.7162166Z [2022-11-23 01:22:46,720] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7162283Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_51)
2022-11-23T01:32:29.7162372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7162469Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7162552Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7162647Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7162745Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7162829Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7162925Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7163015Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.7163096Z              18 RETURN_VALUE
2022-11-23T01:32:29.7163105Z 
2022-11-23T01:32:29.7163171Z  
2022-11-23T01:32:29.7163361Z [2022-11-23 01:22:46,721] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7163438Z  - 
2022-11-23T01:32:29.7163563Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7163633Z             {
2022-11-23T01:32:29.7163772Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7163966Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7164091Z                 'obj_weakref': None
2022-11-23T01:32:29.7164316Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7164385Z             }
2022-11-23T01:32:29.7164455Z             
2022-11-23T01:32:29.7164531Z  - 
2022-11-23T01:32:29.7164657Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7164726Z             {
2022-11-23T01:32:29.7164877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7164991Z                 'code': None,
2022-11-23T01:32:29.7165204Z                 'obj_weakref': <weakref at 0x7f20606e7970; to 'Tensor' at 0x7f2060736f20>
2022-11-23T01:32:29.7165455Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7165525Z             }
2022-11-23T01:32:29.7165586Z             
2022-11-23T01:32:29.7165663Z  - 
2022-11-23T01:32:29.7165790Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7165859Z             {
2022-11-23T01:32:29.7166005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7166117Z                 'code': None,
2022-11-23T01:32:29.7166320Z                 'obj_weakref': <weakref at 0x7f20606e7100; to 'Tensor' at 0x7f2060735cb0>
2022-11-23T01:32:29.7166585Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7166656Z             }
2022-11-23T01:32:29.7166724Z             
2022-11-23T01:32:29.7166824Z  - 
2022-11-23T01:32:29.7166959Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7167028Z             {
2022-11-23T01:32:29.7167167Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7167335Z                 'code': ['___check_obj_id(model, 139780375600512)'],
2022-11-23T01:32:29.7167458Z                 'obj_weakref': None
2022-11-23T01:32:29.7167688Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7167757Z             }
2022-11-23T01:32:29.7167827Z             
2022-11-23T01:32:29.7167902Z  - 
2022-11-23T01:32:29.7168029Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7168091Z             {
2022-11-23T01:32:29.7168232Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7168458Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7168583Z                 'obj_weakref': None
2022-11-23T01:32:29.7168808Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7168881Z             }
2022-11-23T01:32:29.7168950Z             
2022-11-23T01:32:29.7169019Z  - 
2022-11-23T01:32:29.7169158Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7169228Z             {
2022-11-23T01:32:29.7169352Z                 'guard_types': None,
2022-11-23T01:32:29.7169464Z                 'code': None,
2022-11-23T01:32:29.7169587Z                 'obj_weakref': None
2022-11-23T01:32:29.7169712Z                 'guarded_class': None
2022-11-23T01:32:29.7169774Z             }
2022-11-23T01:32:29.7169843Z             
2022-11-23T01:32:29.7170110Z [2022-11-23 01:22:46,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50
2022-11-23T01:32:29.7170476Z [2022-11-23 01:22:48,322] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lt/cltuzbjp2lo2z2lkq2rckmueq6bisoaol5y54px6q7bqj4cerier.py
2022-11-23T01:32:29.7170738Z [2022-11-23 01:22:48,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50
2022-11-23T01:32:29.7170747Z 
2022-11-23T01:32:29.7170849Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7170924Z import torch
2022-11-23T01:32:29.7170999Z import random
2022-11-23T01:32:29.7171114Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7171241Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7171246Z 
2022-11-23T01:32:29.7171330Z aten = torch.ops.aten
2022-11-23T01:32:29.7171470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7171569Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7171575Z 
2022-11-23T01:32:29.7171650Z import triton
2022-11-23T01:32:29.7171744Z import triton.language as tl
2022-11-23T01:32:29.7171867Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7172011Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7172017Z 
2022-11-23T01:32:29.7172024Z 
2022-11-23T01:32:29.7172164Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7172375Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7172502Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7172614Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.7172719Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.7172786Z {
2022-11-23T01:32:29.7172846Z     {
2022-11-23T01:32:29.7172916Z         {
2022-11-23T01:32:29.7173000Z             float tmp6 = 0;
2022-11-23T01:32:29.7173114Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7173183Z             {
2022-11-23T01:32:29.7173329Z                 #pragma omp for reduction(+:tmp6) 
2022-11-23T01:32:29.7173427Z                 for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.7173491Z                 {
2022-11-23T01:32:29.7173595Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:29.7173694Z                     {
2022-11-23T01:32:29.7173769Z                         {
2022-11-23T01:32:29.7173872Z                             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7173975Z                             auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:29.7174121Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.7174210Z                             auto tmp3 = 1 / tmp2;
2022-11-23T01:32:29.7174332Z                             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:29.7174434Z                             auto tmp5 = tmp3 * tmp4;
2022-11-23T01:32:29.7174522Z                             tmp6 += tmp5;
2022-11-23T01:32:29.7174600Z                         }
2022-11-23T01:32:29.7174672Z                     }
2022-11-23T01:32:29.7174745Z                 }
2022-11-23T01:32:29.7174808Z             }
2022-11-23T01:32:29.7174893Z             out_ptr0[0] = tmp6;
2022-11-23T01:32:29.7174963Z         }
2022-11-23T01:32:29.7175031Z     }
2022-11-23T01:32:29.7175101Z }
2022-11-23T01:32:29.7175188Z ''')
2022-11-23T01:32:29.7175194Z 
2022-11-23T01:32:29.7175198Z 
2022-11-23T01:32:29.7175294Z async_compile.wait(globals())
2022-11-23T01:32:29.7175364Z del async_compile
2022-11-23T01:32:29.7175370Z 
2022-11-23T01:32:29.7175444Z def call(args):
2022-11-23T01:32:29.7175525Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7175601Z     args.clear()
2022-11-23T01:32:29.7175792Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7175961Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.7176034Z     del arg0_1
2022-11-23T01:32:29.7176100Z     del arg1_1
2022-11-23T01:32:29.7176178Z     return (buf0, )
2022-11-23T01:32:29.7176184Z 
2022-11-23T01:32:29.7176191Z 
2022-11-23T01:32:29.7176273Z if __name__ == "__main__":
2022-11-23T01:32:29.7176393Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7176521Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7176724Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7176923Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7177045Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7177050Z 
2022-11-23T01:32:29.7177115Z ok (1.619s)
2022-11-23T01:32:29.7177418Z   test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7177737Z [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7177960Z [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7178214Z [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7178497Z [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7179100Z [2022-11-23 01:22:48,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7179449Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7179766Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7180184Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872> 
2022-11-23T01:32:29.7180279Z  873           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7180383Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:29.7180558Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T01:32:29.7180660Z               6 LOAD_CONST               2 (0.1)
2022-11-23T01:32:29.7180754Z               8 CALL_METHOD              2
2022-11-23T01:32:29.7180852Z              10 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7180953Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:29.7181048Z              14 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7181134Z              16 CALL_METHOD              1
2022-11-23T01:32:29.7181231Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.7181327Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T01:32:29.7181423Z              22 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7181522Z              24 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7181605Z              26 BINARY_ADD
2022-11-23T01:32:29.7181700Z              28 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7181846Z              30 LOAD_CONST               4 (('max',))
2022-11-23T01:32:29.7181942Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.7182036Z              34 BUILD_TUPLE              3
2022-11-23T01:32:29.7182118Z              36 RETURN_VALUE
2022-11-23T01:32:29.7182186Z  
2022-11-23T01:32:29.7182192Z 
2022-11-23T01:32:29.7182505Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873
2022-11-23T01:32:29.7182718Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.7182966Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:32:29.7183240Z [2022-11-23 01:22:48,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:29.7183555Z [2022-11-23 01:22:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T01:32:29.7183912Z [2022-11-23 01:22:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:29.7184152Z [2022-11-23 01:22:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.7184424Z [2022-11-23 01:22:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7184725Z [2022-11-23 01:22:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:29.7185072Z [2022-11-23 01:22:48,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:32:29.7185349Z [2022-11-23 01:22:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7185779Z [2022-11-23 01:22:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7186155Z [2022-11-23 01:22:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7186555Z [2022-11-23 01:22:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7187012Z [2022-11-23 01:22:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7187419Z [2022-11-23 01:22:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7187857Z [2022-11-23 01:22:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7188338Z [2022-11-23 01:22:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.7188635Z [2022-11-23 01:22:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7188889Z [2022-11-23 01:22:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7189265Z [2022-11-23 01:22:48,337] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872>
2022-11-23T01:32:29.7189511Z [2022-11-23 01:22:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7189749Z [2022-11-23 01:22:48,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7190007Z [2022-11-23 01:22:48,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7190327Z [2022-11-23 01:22:48,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7190550Z [2022-11-23 01:22:48,343] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7190697Z  __compiled_fn_52 <eval_with_key>.336 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7190794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7190887Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7191047Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T01:32:29.7191156Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T01:32:29.7191339Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7191585Z call_function, clamp_2, <built-in method clamp of type object at 0x7f209c394c60>, (add,), {'max': 0}
2022-11-23T01:32:29.7191712Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T01:32:29.7191717Z 
2022-11-23T01:32:29.7192042Z [2022-11-23 01:22:48,344] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7192144Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7192242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7192340Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7192441Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7192533Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7192629Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7192703Z              12 RETURN_VALUE
2022-11-23T01:32:29.7192716Z 
2022-11-23T01:32:29.7192774Z  
2022-11-23T01:32:29.7193103Z [2022-11-23 01:22:48,344] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7193218Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_52)
2022-11-23T01:32:29.7193315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7193443Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7193527Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7193624Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7193736Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7194030Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7194126Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7194243Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7194354Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7194450Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7194533Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7194631Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7194726Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7194807Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7194916Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7195009Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7195091Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7195183Z              36 BUILD_TUPLE              3
2022-11-23T01:32:29.7195260Z              38 RETURN_VALUE
2022-11-23T01:32:29.7195272Z 
2022-11-23T01:32:29.7195331Z  
2022-11-23T01:32:29.7195526Z [2022-11-23 01:22:48,345] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7195602Z  - 
2022-11-23T01:32:29.7195727Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7195797Z             {
2022-11-23T01:32:29.7195945Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7196142Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7196259Z                 'obj_weakref': None
2022-11-23T01:32:29.7196486Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7196555Z             }
2022-11-23T01:32:29.7196625Z             
2022-11-23T01:32:29.7196702Z  - 
2022-11-23T01:32:29.7196832Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7196893Z             {
2022-11-23T01:32:29.7197040Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7197158Z                 'code': None,
2022-11-23T01:32:29.7197372Z                 'obj_weakref': <weakref at 0x7f2115adb3d0; to 'Tensor' at 0x7f2115dc5b70>
2022-11-23T01:32:29.7197627Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7197696Z             }
2022-11-23T01:32:29.7197764Z             
2022-11-23T01:32:29.7197840Z  - 
2022-11-23T01:32:29.7197961Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7198030Z             {
2022-11-23T01:32:29.7198177Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7198290Z                 'code': None,
2022-11-23T01:32:29.7198503Z                 'obj_weakref': <weakref at 0x7f20682046d0; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.7198750Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7198821Z             }
2022-11-23T01:32:29.7198885Z             
2022-11-23T01:32:29.7198960Z  - 
2022-11-23T01:32:29.7199096Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7199168Z             {
2022-11-23T01:32:29.7199307Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7199483Z                 'code': ['___check_obj_id(model, 139780375600512)'],
2022-11-23T01:32:29.7199610Z                 'obj_weakref': None
2022-11-23T01:32:29.7199834Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7199904Z             }
2022-11-23T01:32:29.7199973Z             
2022-11-23T01:32:29.7200048Z  - 
2022-11-23T01:32:29.7200176Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7200248Z             {
2022-11-23T01:32:29.7200465Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7200693Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7200842Z                 'obj_weakref': None
2022-11-23T01:32:29.7201068Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7201138Z             }
2022-11-23T01:32:29.7201205Z             
2022-11-23T01:32:29.7201280Z  - 
2022-11-23T01:32:29.7201412Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7201480Z             {
2022-11-23T01:32:29.7201610Z                 'guard_types': None,
2022-11-23T01:32:29.7201721Z                 'code': None,
2022-11-23T01:32:29.7201844Z                 'obj_weakref': None
2022-11-23T01:32:29.7201970Z                 'guarded_class': None
2022-11-23T01:32:29.7202041Z             }
2022-11-23T01:32:29.7202101Z             
2022-11-23T01:32:29.7202369Z [2022-11-23 01:22:48,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51
2022-11-23T01:32:29.7202735Z [2022-11-23 01:22:49,943] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qd/cqdzukxsrhn4q2teyp4hb44iihxpg56jswvvxy4xp5w2faf3gx7i.py
2022-11-23T01:32:29.7203004Z [2022-11-23 01:22:49,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51
2022-11-23T01:32:29.7203010Z 
2022-11-23T01:32:29.7203108Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7203183Z import torch
2022-11-23T01:32:29.7203257Z import random
2022-11-23T01:32:29.7203379Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7203498Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7203511Z 
2022-11-23T01:32:29.7203587Z aten = torch.ops.aten
2022-11-23T01:32:29.7203726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7203827Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7203832Z 
2022-11-23T01:32:29.7203910Z import triton
2022-11-23T01:32:29.7204004Z import triton.language as tl
2022-11-23T01:32:29.7204132Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7204274Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7204283Z 
2022-11-23T01:32:29.7204288Z 
2022-11-23T01:32:29.7204419Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7204628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7204754Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7204865Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.7204970Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7205072Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.7205175Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.7205242Z {
2022-11-23T01:32:29.7205339Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7205408Z     {
2022-11-23T01:32:29.7205491Z         #pragma omp for 
2022-11-23T01:32:29.7205581Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7205649Z         {
2022-11-23T01:32:29.7205796Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.7205936Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.7206150Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-0.10000000149011612));
2022-11-23T01:32:29.7206267Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:32:29.7206417Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.10000000149011612));
2022-11-23T01:32:29.7206533Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:32:29.7206677Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:29.7206792Z             auto tmp7 = at::vec::maximum(tmp5, tmp6);
2022-11-23T01:32:29.7206928Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:32:29.7207042Z             auto tmp9 = at::vec::minimum(tmp8, tmp6);
2022-11-23T01:32:29.7207132Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.7207252Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.7207348Z             tmp9.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.7207416Z         }
2022-11-23T01:32:29.7207515Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.7207604Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.7207673Z         {
2022-11-23T01:32:29.7207756Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7207844Z             auto tmp5 = in_ptr1[i0];
2022-11-23T01:32:29.7208020Z             auto tmp1 = static_cast<float>(-0.10000000149011612);
2022-11-23T01:32:29.7208126Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:29.7208245Z             auto tmp3 = static_cast<float>(0.10000000149011612);
2022-11-23T01:32:29.7208349Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:29.7208459Z             auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:29.7208562Z             auto tmp7 = std::max(tmp5, tmp6);
2022-11-23T01:32:29.7208644Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:32:29.7208751Z             auto tmp9 = std::min(tmp8, tmp6);
2022-11-23T01:32:29.7208836Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.7208923Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:29.7209007Z             out_ptr2[i0] = tmp9;
2022-11-23T01:32:29.7209075Z         }
2022-11-23T01:32:29.7209143Z     }
2022-11-23T01:32:29.7209201Z }
2022-11-23T01:32:29.7209288Z ''')
2022-11-23T01:32:29.7209294Z 
2022-11-23T01:32:29.7209298Z 
2022-11-23T01:32:29.7209392Z async_compile.wait(globals())
2022-11-23T01:32:29.7209471Z del async_compile
2022-11-23T01:32:29.7209476Z 
2022-11-23T01:32:29.7209551Z def call(args):
2022-11-23T01:32:29.7209631Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7209708Z     args.clear()
2022-11-23T01:32:29.7209902Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7210100Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7210288Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7210512Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.7210585Z     del arg0_1
2022-11-23T01:32:29.7210662Z     del arg1_1
2022-11-23T01:32:29.7210751Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.7210756Z 
2022-11-23T01:32:29.7210761Z 
2022-11-23T01:32:29.7210844Z if __name__ == "__main__":
2022-11-23T01:32:29.7210957Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7211087Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7211289Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7211487Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7211609Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7211614Z 
2022-11-23T01:32:29.7211686Z ok (1.620s)
2022-11-23T01:32:29.7211992Z   test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7212309Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7212520Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7212777Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7213055Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7213403Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7213750Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7214098Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7214471Z [2022-11-23 01:22:49,948] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447> 
2022-11-23T01:32:29.7214573Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7214671Z                2 LOAD_METHOD              1 (clone)
2022-11-23T01:32:29.7214770Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7214861Z                6 CALL_METHOD              1
2022-11-23T01:32:29.7214961Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:29.7215042Z               10 BINARY_ADD
2022-11-23T01:32:29.7215141Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7215243Z               14 LOAD_METHOD              1 (clone)
2022-11-23T01:32:29.7215339Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7215434Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7215505Z               20 BINARY_ADD
2022-11-23T01:32:29.7215599Z               22 CALL_METHOD              1
2022-11-23T01:32:29.7215694Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.7215775Z               26 RETURN_VALUE
2022-11-23T01:32:29.7215841Z  
2022-11-23T01:32:29.7215847Z 
2022-11-23T01:32:29.7216167Z [2022-11-23 01:22:49,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448
2022-11-23T01:32:29.7216393Z [2022-11-23 01:22:49,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7216702Z [2022-11-23 01:22:49,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7216954Z [2022-11-23 01:22:49,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T01:32:29.7217245Z [2022-11-23 01:22:49,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:29.7217486Z [2022-11-23 01:22:49,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.7217772Z [2022-11-23 01:22:49,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7218019Z [2022-11-23 01:22:49,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7218355Z [2022-11-23 01:22:49,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7218634Z [2022-11-23 01:22:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T01:32:29.7219083Z [2022-11-23 01:22:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:29.7219439Z [2022-11-23 01:22:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7219752Z [2022-11-23 01:22:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:29.7220023Z [2022-11-23 01:22:49,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7220315Z [2022-11-23 01:22:49,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7220697Z [2022-11-23 01:22:49,963] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447>
2022-11-23T01:32:29.7220977Z [2022-11-23 01:22:49,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7221215Z [2022-11-23 01:22:49,963] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7221471Z [2022-11-23 01:22:49,964] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7221727Z [2022-11-23 01:22:49,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7221922Z [2022-11-23 01:22:49,968] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7222066Z  __compiled_fn_53 <eval_with_key>.342 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7222162Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7222267Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T01:32:29.7222453Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T01:32:29.7222633Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.7222745Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T01:32:29.7222856Z output, output, output, ((add, clone_1),), {}
2022-11-23T01:32:29.7222862Z 
2022-11-23T01:32:29.7223190Z [2022-11-23 01:22:49,968] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7223292Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7223391Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7223477Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7223581Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7223673Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7223769Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7223857Z              12 RETURN_VALUE
2022-11-23T01:32:29.7223862Z 
2022-11-23T01:32:29.7223928Z  
2022-11-23T01:32:29.7224256Z [2022-11-23 01:22:49,968] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7224365Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_53)
2022-11-23T01:32:29.7224461Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7224557Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7224641Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7224736Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7224848Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7224960Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7225049Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7225132Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7225241Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7225337Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7225421Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7225521Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.7225603Z              26 RETURN_VALUE
2022-11-23T01:32:29.7225609Z 
2022-11-23T01:32:29.7225675Z  
2022-11-23T01:32:29.7225858Z [2022-11-23 01:22:49,969] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7225938Z  - 
2022-11-23T01:32:29.7226066Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7226137Z             {
2022-11-23T01:32:29.7226286Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7226478Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7226632Z                 'obj_weakref': None
2022-11-23T01:32:29.7226853Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7226946Z             }
2022-11-23T01:32:29.7227018Z             
2022-11-23T01:32:29.7227095Z  - 
2022-11-23T01:32:29.7227225Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7227294Z             {
2022-11-23T01:32:29.7227442Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7227549Z                 'code': None,
2022-11-23T01:32:29.7227762Z                 'obj_weakref': <weakref at 0x7f20680b0590; to 'Tensor' at 0x7f20726e7d80>
2022-11-23T01:32:29.7228010Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7228081Z             }
2022-11-23T01:32:29.7228150Z             
2022-11-23T01:32:29.7228226Z  - 
2022-11-23T01:32:29.7228361Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7228426Z             {
2022-11-23T01:32:29.7228568Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7228744Z                 'code': ['___check_obj_id(model, 139780375600512)'],
2022-11-23T01:32:29.7228871Z                 'obj_weakref': None
2022-11-23T01:32:29.7229103Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7229173Z             }
2022-11-23T01:32:29.7229248Z             
2022-11-23T01:32:29.7229316Z  - 
2022-11-23T01:32:29.7229444Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7229515Z             {
2022-11-23T01:32:29.7229656Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7229875Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7229999Z                 'obj_weakref': None
2022-11-23T01:32:29.7230225Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7230364Z             }
2022-11-23T01:32:29.7230452Z             
2022-11-23T01:32:29.7230532Z  - 
2022-11-23T01:32:29.7230672Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7230745Z             {
2022-11-23T01:32:29.7230868Z                 'guard_types': None,
2022-11-23T01:32:29.7230972Z                 'code': None,
2022-11-23T01:32:29.7231094Z                 'obj_weakref': None
2022-11-23T01:32:29.7231219Z                 'guarded_class': None
2022-11-23T01:32:29.7231288Z             }
2022-11-23T01:32:29.7231356Z             
2022-11-23T01:32:29.7231617Z [2022-11-23 01:22:49,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52
2022-11-23T01:32:29.7231977Z [2022-11-23 01:22:51,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ag/cagtntzrnnualtg662cgc5r6t3txna6pckr4vbc4b27ei46ytpo7.py
2022-11-23T01:32:29.7232243Z [2022-11-23 01:22:51,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52
2022-11-23T01:32:29.7232249Z 
2022-11-23T01:32:29.7232342Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7232417Z import torch
2022-11-23T01:32:29.7232492Z import random
2022-11-23T01:32:29.7232618Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7232743Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7232748Z 
2022-11-23T01:32:29.7232831Z aten = torch.ops.aten
2022-11-23T01:32:29.7232973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7233070Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7233076Z 
2022-11-23T01:32:29.7233143Z import triton
2022-11-23T01:32:29.7233235Z import triton.language as tl
2022-11-23T01:32:29.7233362Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7233506Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7233511Z 
2022-11-23T01:32:29.7233516Z 
2022-11-23T01:32:29.7233657Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7233906Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7234034Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7234164Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7234260Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7234327Z {
2022-11-23T01:32:29.7234435Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7234503Z     {
2022-11-23T01:32:29.7234585Z         #pragma omp for 
2022-11-23T01:32:29.7234676Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.7234737Z         {
2022-11-23T01:32:29.7234880Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.7235021Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.7235112Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7235256Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.7235346Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.7235443Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.7235539Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.7235603Z         }
2022-11-23T01:32:29.7235703Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.7235792Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.7235862Z         {
2022-11-23T01:32:29.7235951Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7236056Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.7236146Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.7236243Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:29.7236333Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.7236422Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.7236509Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:29.7236577Z         }
2022-11-23T01:32:29.7236643Z     }
2022-11-23T01:32:29.7236708Z }
2022-11-23T01:32:29.7236792Z ''')
2022-11-23T01:32:29.7236797Z 
2022-11-23T01:32:29.7236802Z 
2022-11-23T01:32:29.7236895Z async_compile.wait(globals())
2022-11-23T01:32:29.7236972Z del async_compile
2022-11-23T01:32:29.7236980Z 
2022-11-23T01:32:29.7237057Z def call(args):
2022-11-23T01:32:29.7237132Z     arg0_1, = args
2022-11-23T01:32:29.7237208Z     args.clear()
2022-11-23T01:32:29.7237414Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7237607Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7237776Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7237851Z     del arg0_1
2022-11-23T01:32:29.7237938Z     return (buf0, buf1, )
2022-11-23T01:32:29.7237943Z 
2022-11-23T01:32:29.7237948Z 
2022-11-23T01:32:29.7238029Z if __name__ == "__main__":
2022-11-23T01:32:29.7238150Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7238283Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7238485Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7238592Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7238607Z 
2022-11-23T01:32:29.7238672Z ok (1.603s)
2022-11-23T01:32:29.7238987Z   test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7239301Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7239523Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7239777Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7240079Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7240398Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7240760Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7241077Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7241436Z [2022-11-23 01:22:51,552] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116> 
2022-11-23T01:32:29.7241539Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7241659Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7241759Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7241854Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7241949Z                8 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7242050Z               10 BUILD_LIST               2
2022-11-23T01:32:29.7242150Z               12 LOAD_CONST               3 (6.0)
2022-11-23T01:32:29.7242237Z               14 CALL_METHOD              3
2022-11-23T01:32:29.7242242Z 
2022-11-23T01:32:29.7242343Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7242456Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7242551Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7242647Z               22 LOAD_CONST               4 (2)
2022-11-23T01:32:29.7242742Z               24 LOAD_CONST               5 (3)
2022-11-23T01:32:29.7242835Z               26 BUILD_LIST               2
2022-11-23T01:32:29.7242928Z               28 LOAD_CONST               6 (99.0)
2022-11-23T01:32:29.7243021Z               30 CALL_METHOD              3
2022-11-23T01:32:29.7243026Z 
2022-11-23T01:32:29.7243119Z 3117          32 BUILD_TUPLE              2
2022-11-23T01:32:29.7243205Z               34 RETURN_VALUE
2022-11-23T01:32:29.7243271Z  
2022-11-23T01:32:29.7243277Z 
2022-11-23T01:32:29.7243590Z [2022-11-23 01:22:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118
2022-11-23T01:32:29.7243810Z [2022-11-23 01:22:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7244129Z [2022-11-23 01:22:51,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7244395Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7244684Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7245014Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7245378Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7245694Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7246051Z [2022-11-23 01:22:51,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7246386Z [2022-11-23 01:22:51,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119
2022-11-23T01:32:29.7246638Z [2022-11-23 01:22:51,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7247003Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7247294Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7247614Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7247967Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7248361Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7248700Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7249081Z [2022-11-23 01:22:51,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7249389Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117
2022-11-23T01:32:29.7249662Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7249909Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7250286Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116>
2022-11-23T01:32:29.7250534Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7250771Z [2022-11-23 01:22:51,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7251025Z [2022-11-23 01:22:51,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7251301Z [2022-11-23 01:22:51,571] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7251522Z [2022-11-23 01:22:51,572] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7251658Z  __compiled_fn_54 <eval_with_key>.348 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7251753Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7251903Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T01:32:29.7252051Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T01:32:29.7252191Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:29.7252197Z 
2022-11-23T01:32:29.7252525Z [2022-11-23 01:22:51,572] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7252627Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7252725Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7252811Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7252915Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7253010Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7253150Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7253234Z              12 RETURN_VALUE
2022-11-23T01:32:29.7253240Z 
2022-11-23T01:32:29.7253306Z  
2022-11-23T01:32:29.7253662Z [2022-11-23 01:22:51,572] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7253780Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_54)
2022-11-23T01:32:29.7253870Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7253967Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7254049Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7254144Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7254256Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7254367Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7254466Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7254543Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7254650Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7254748Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7254834Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7254928Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.7255010Z              26 RETURN_VALUE
2022-11-23T01:32:29.7255016Z 
2022-11-23T01:32:29.7255082Z  
2022-11-23T01:32:29.7255263Z [2022-11-23 01:22:51,573] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7255342Z  - 
2022-11-23T01:32:29.7255471Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7255541Z             {
2022-11-23T01:32:29.7255688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7255881Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7256007Z                 'obj_weakref': None
2022-11-23T01:32:29.7256227Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7256301Z             }
2022-11-23T01:32:29.7256370Z             
2022-11-23T01:32:29.7256450Z  - 
2022-11-23T01:32:29.7256578Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7256651Z             {
2022-11-23T01:32:29.7256797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7256901Z                 'code': None,
2022-11-23T01:32:29.7257113Z                 'obj_weakref': <weakref at 0x7f2060796980; to 'Tensor' at 0x7f2115dc5b70>
2022-11-23T01:32:29.7257362Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7257433Z             }
2022-11-23T01:32:29.7257504Z             
2022-11-23T01:32:29.7257580Z  - 
2022-11-23T01:32:29.7257718Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7257779Z             {
2022-11-23T01:32:29.7257918Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7258097Z                 'code': ['___check_obj_id(model, 139780375600512)'],
2022-11-23T01:32:29.7258223Z                 'obj_weakref': None
2022-11-23T01:32:29.7258453Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7258527Z             }
2022-11-23T01:32:29.7258595Z             
2022-11-23T01:32:29.7258663Z  - 
2022-11-23T01:32:29.7258987Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7259059Z             {
2022-11-23T01:32:29.7259203Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7259424Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7259548Z                 'obj_weakref': None
2022-11-23T01:32:29.7259774Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7259835Z             }
2022-11-23T01:32:29.7259907Z             
2022-11-23T01:32:29.7259983Z  - 
2022-11-23T01:32:29.7260169Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7260239Z             {
2022-11-23T01:32:29.7260366Z                 'guard_types': None,
2022-11-23T01:32:29.7260480Z                 'code': None,
2022-11-23T01:32:29.7260636Z                 'obj_weakref': None
2022-11-23T01:32:29.7260764Z                 'guarded_class': None
2022-11-23T01:32:29.7260834Z             }
2022-11-23T01:32:29.7260902Z             
2022-11-23T01:32:29.7261160Z [2022-11-23 01:22:51,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53
2022-11-23T01:32:29.7261527Z [2022-11-23 01:22:53,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/css6wqaboiuoimwj74ysr3ggoaqt5pmxacoztcozh2sbv5vlimc4.py
2022-11-23T01:32:29.7261789Z [2022-11-23 01:22:53,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53
2022-11-23T01:32:29.7261795Z 
2022-11-23T01:32:29.7261893Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7261960Z import torch
2022-11-23T01:32:29.7262038Z import random
2022-11-23T01:32:29.7262161Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7262287Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7262296Z 
2022-11-23T01:32:29.7262380Z aten = torch.ops.aten
2022-11-23T01:32:29.7262523Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7262620Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7262625Z 
2022-11-23T01:32:29.7262692Z import triton
2022-11-23T01:32:29.7262787Z import triton.language as tl
2022-11-23T01:32:29.7262914Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7263058Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7263064Z 
2022-11-23T01:32:29.7263069Z 
2022-11-23T01:32:29.7263206Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7263416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7263544Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7263651Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7263748Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7263817Z {
2022-11-23T01:32:29.7263921Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7263988Z     {
2022-11-23T01:32:29.7264070Z         #pragma omp for 
2022-11-23T01:32:29.7264157Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.7264226Z         {
2022-11-23T01:32:29.7264305Z             #pragma GCC ivdep
2022-11-23T01:32:29.7264397Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:29.7264466Z             {
2022-11-23T01:32:29.7264536Z                 {
2022-11-23T01:32:29.7264607Z                     {
2022-11-23T01:32:29.7264722Z                         auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:29.7264834Z                         auto tmp1 = static_cast<long>(31);
2022-11-23T01:32:29.7264929Z                         auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.7265019Z                         float tmp3 = 6.0;
2022-11-23T01:32:29.7265102Z                         if(tmp2)
2022-11-23T01:32:29.7265178Z                         {
2022-11-23T01:32:29.7265297Z                             auto tmp4 = in_ptr0[i1 + (31*i0)];
2022-11-23T01:32:29.7265384Z                             tmp3 = tmp4;
2022-11-23T01:32:29.7265458Z                         }
2022-11-23T01:32:29.7265554Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:29.7265626Z                     }
2022-11-23T01:32:29.7265697Z                 }
2022-11-23T01:32:29.7265766Z             }
2022-11-23T01:32:29.7265837Z         }
2022-11-23T01:32:29.7265920Z         #pragma omp for 
2022-11-23T01:32:29.7266000Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.7266070Z         {
2022-11-23T01:32:29.7266156Z             #pragma GCC ivdep
2022-11-23T01:32:29.7266246Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:29.7266315Z             {
2022-11-23T01:32:29.7266416Z                 {
2022-11-23T01:32:29.7266489Z                     {
2022-11-23T01:32:29.7266655Z                         auto tmp0 = static_cast<long>((-2) + i1);
2022-11-23T01:32:29.7266792Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.7266893Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.7267006Z                         auto tmp3 = static_cast<long>(31);
2022-11-23T01:32:29.7267106Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.7267205Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:29.7267298Z                         float tmp6 = 99.0;
2022-11-23T01:32:29.7267372Z                         if(tmp5)
2022-11-23T01:32:29.7267446Z                         {
2022-11-23T01:32:29.7267618Z                             auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)];
2022-11-23T01:32:29.7267706Z                             tmp6 = tmp7;
2022-11-23T01:32:29.7267780Z                         }
2022-11-23T01:32:29.7267886Z                         out_ptr1[i1 + (36*i0)] = tmp6;
2022-11-23T01:32:29.7267958Z                     }
2022-11-23T01:32:29.7268020Z                 }
2022-11-23T01:32:29.7268088Z             }
2022-11-23T01:32:29.7268159Z         }
2022-11-23T01:32:29.7268229Z     }
2022-11-23T01:32:29.7268298Z }
2022-11-23T01:32:29.7268384Z ''')
2022-11-23T01:32:29.7268390Z 
2022-11-23T01:32:29.7268395Z 
2022-11-23T01:32:29.7268490Z async_compile.wait(globals())
2022-11-23T01:32:29.7268560Z del async_compile
2022-11-23T01:32:29.7268573Z 
2022-11-23T01:32:29.7268641Z def call(args):
2022-11-23T01:32:29.7268715Z     arg0_1, = args
2022-11-23T01:32:29.7268792Z     args.clear()
2022-11-23T01:32:29.7269003Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7269212Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7269388Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7269462Z     del arg0_1
2022-11-23T01:32:29.7269536Z     return (buf0, buf1, )
2022-11-23T01:32:29.7269541Z 
2022-11-23T01:32:29.7269546Z 
2022-11-23T01:32:29.7269632Z if __name__ == "__main__":
2022-11-23T01:32:29.7269752Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7269881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7270090Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7270210Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7270215Z 
2022-11-23T01:32:29.7270366Z ok (1.654s)
2022-11-23T01:32:29.7270700Z   test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7271007Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7271226Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7271477Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7271754Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7272068Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7272404Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7272723Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7273120Z [2022-11-23 01:22:53,207] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125> 
2022-11-23T01:32:29.7273246Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7273360Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7273450Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7273547Z                6 BUILD_LIST               0
2022-11-23T01:32:29.7273650Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:29.7273744Z               10 LIST_EXTEND              1
2022-11-23T01:32:29.7273843Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:29.7273937Z               14 CALL_METHOD              3
2022-11-23T01:32:29.7273942Z 
2022-11-23T01:32:29.7274041Z 3128          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7274155Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7274247Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7274341Z               22 BUILD_LIST               0
2022-11-23T01:32:29.7274447Z               24 LOAD_CONST               3 ((1, 2, 3, 4))
2022-11-23T01:32:29.7274543Z               26 LIST_EXTEND              1
2022-11-23T01:32:29.7274640Z               28 LOAD_CONST               4 (99.0)
2022-11-23T01:32:29.7274732Z               30 CALL_METHOD              3
2022-11-23T01:32:29.7274737Z 
2022-11-23T01:32:29.7274834Z 3126          32 BUILD_TUPLE              2
2022-11-23T01:32:29.7274910Z               34 RETURN_VALUE
2022-11-23T01:32:29.7274976Z  
2022-11-23T01:32:29.7274981Z 
2022-11-23T01:32:29.7275295Z [2022-11-23 01:22:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127
2022-11-23T01:32:29.7275514Z [2022-11-23 01:22:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7275837Z [2022-11-23 01:22:53,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7276103Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7276405Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7276730Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7277086Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7277402Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7277756Z [2022-11-23 01:22:53,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7278058Z [2022-11-23 01:22:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128
2022-11-23T01:32:29.7278300Z [2022-11-23 01:22:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7278643Z [2022-11-23 01:22:53,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7278935Z [2022-11-23 01:22:53,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7279286Z [2022-11-23 01:22:53,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7279639Z [2022-11-23 01:22:53,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7280048Z [2022-11-23 01:22:53,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7280391Z [2022-11-23 01:22:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7280772Z [2022-11-23 01:22:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7281084Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126
2022-11-23T01:32:29.7281350Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7281591Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7281962Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125>
2022-11-23T01:32:29.7282207Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7282443Z [2022-11-23 01:22:53,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7282699Z [2022-11-23 01:22:53,231] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7282952Z [2022-11-23 01:22:53,243] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7283149Z [2022-11-23 01:22:53,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7283291Z  __compiled_fn_55 <eval_with_key>.354 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7283386Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7283529Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T01:32:29.7283679Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T01:32:29.7283818Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:29.7283824Z 
2022-11-23T01:32:29.7284152Z [2022-11-23 01:22:53,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7284256Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7284355Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7284448Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7284551Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7284643Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7284732Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7284813Z              12 RETURN_VALUE
2022-11-23T01:32:29.7284818Z 
2022-11-23T01:32:29.7284886Z  
2022-11-23T01:32:29.7285211Z [2022-11-23 01:22:53,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7285327Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_55)
2022-11-23T01:32:29.7285423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7285518Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7285621Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7285717Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7285829Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7285942Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7286061Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7286143Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7286252Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7286340Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7286421Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7286516Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.7286599Z              26 RETURN_VALUE
2022-11-23T01:32:29.7286605Z 
2022-11-23T01:32:29.7286670Z  
2022-11-23T01:32:29.7286859Z [2022-11-23 01:22:53,244] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7286935Z  - 
2022-11-23T01:32:29.7287060Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7287125Z             {
2022-11-23T01:32:29.7287272Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7287462Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7287591Z                 'obj_weakref': None
2022-11-23T01:32:29.7287815Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7287885Z             }
2022-11-23T01:32:29.7287953Z             
2022-11-23T01:32:29.7288021Z  - 
2022-11-23T01:32:29.7288150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7288219Z             {
2022-11-23T01:32:29.7288365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7288477Z                 'code': None,
2022-11-23T01:32:29.7288684Z                 'obj_weakref': <weakref at 0x7f2060735170; to 'Tensor' at 0x7f2115af48b0>
2022-11-23T01:32:29.7288934Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7288996Z             }
2022-11-23T01:32:29.7289064Z             
2022-11-23T01:32:29.7289140Z  - 
2022-11-23T01:32:29.7289276Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7289353Z             {
2022-11-23T01:32:29.7289492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7289665Z                 'code': ['___check_obj_id(model, 139780075300912)'],
2022-11-23T01:32:29.7289780Z                 'obj_weakref': None
2022-11-23T01:32:29.7290006Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7290075Z             }
2022-11-23T01:32:29.7290143Z             
2022-11-23T01:32:29.7290218Z  - 
2022-11-23T01:32:29.7290345Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7290407Z             {
2022-11-23T01:32:29.7290547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7290773Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7290896Z                 'obj_weakref': None
2022-11-23T01:32:29.7291116Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7291190Z             }
2022-11-23T01:32:29.7291259Z             
2022-11-23T01:32:29.7291334Z  - 
2022-11-23T01:32:29.7291462Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7291530Z             {
2022-11-23T01:32:29.7291653Z                 'guard_types': None,
2022-11-23T01:32:29.7291763Z                 'code': None,
2022-11-23T01:32:29.7291887Z                 'obj_weakref': None
2022-11-23T01:32:29.7292012Z                 'guarded_class': None
2022-11-23T01:32:29.7292073Z             }
2022-11-23T01:32:29.7292140Z             
2022-11-23T01:32:29.7292400Z [2022-11-23 01:22:53,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54
2022-11-23T01:32:29.7292796Z [2022-11-23 01:22:54,847] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nb/cnbb5gu2ihcu6vlpuswuvv3op6yuwwrz3jkkiopwbxs4molmlwny.py
2022-11-23T01:32:29.7293060Z [2022-11-23 01:22:54,848] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54
2022-11-23T01:32:29.7293089Z 
2022-11-23T01:32:29.7293188Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7293263Z import torch
2022-11-23T01:32:29.7293339Z import random
2022-11-23T01:32:29.7293452Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7293578Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7293584Z 
2022-11-23T01:32:29.7293668Z aten = torch.ops.aten
2022-11-23T01:32:29.7293809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7293906Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7293911Z 
2022-11-23T01:32:29.7293986Z import triton
2022-11-23T01:32:29.7294079Z import triton.language as tl
2022-11-23T01:32:29.7294210Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7294348Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7294354Z 
2022-11-23T01:32:29.7294359Z 
2022-11-23T01:32:29.7294496Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7294708Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7294835Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7294943Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7295050Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7295117Z {
2022-11-23T01:32:29.7295220Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7295281Z     {
2022-11-23T01:32:29.7295376Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.7295462Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:29.7295530Z         {
2022-11-23T01:32:29.7295622Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:29.7295691Z             {
2022-11-23T01:32:29.7295756Z                 {
2022-11-23T01:32:29.7295827Z                     {
2022-11-23T01:32:29.7295998Z                         auto tmp0 = static_cast<long>((-1) + i0);
2022-11-23T01:32:29.7296115Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.7296217Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.7296333Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:29.7296433Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.7296594Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:32:29.7296696Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:29.7296797Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:29.7296894Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:32:29.7296993Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:32:29.7297092Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:32:29.7297186Z                         float tmp11 = 6.0;
2022-11-23T01:32:29.7297269Z                         if(tmp10)
2022-11-23T01:32:29.7297336Z                         {
2022-11-23T01:32:29.7297512Z                             auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)];
2022-11-23T01:32:29.7297605Z                             tmp11 = tmp12;
2022-11-23T01:32:29.7297681Z                         }
2022-11-23T01:32:29.7297784Z                         out_ptr0[i1 + (10*i0)] = tmp11;
2022-11-23T01:32:29.7297857Z                     }
2022-11-23T01:32:29.7297927Z                 }
2022-11-23T01:32:29.7297988Z             }
2022-11-23T01:32:29.7298056Z         }
2022-11-23T01:32:29.7298151Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.7298238Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:32:29.7298308Z         {
2022-11-23T01:32:29.7298400Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:29.7298461Z             {
2022-11-23T01:32:29.7298530Z                 {
2022-11-23T01:32:29.7298639Z                     {
2022-11-23T01:32:29.7298926Z                         auto tmp0 = static_cast<long>((-3) + i0);
2022-11-23T01:32:29.7299039Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.7299228Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.7299337Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:29.7299428Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.7299598Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:32:29.7299698Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:29.7299798Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:29.7299895Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:32:29.7299995Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:32:29.7300093Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:32:29.7300186Z                         float tmp11 = 99.0;
2022-11-23T01:32:29.7300264Z                         if(tmp10)
2022-11-23T01:32:29.7300338Z                         {
2022-11-23T01:32:29.7300514Z                             auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)];
2022-11-23T01:32:29.7300610Z                             tmp11 = tmp12;
2022-11-23T01:32:29.7300685Z                         }
2022-11-23T01:32:29.7300789Z                         out_ptr1[i1 + (11*i0)] = tmp11;
2022-11-23T01:32:29.7300860Z                     }
2022-11-23T01:32:29.7300923Z                 }
2022-11-23T01:32:29.7300994Z             }
2022-11-23T01:32:29.7301067Z         }
2022-11-23T01:32:29.7301135Z     }
2022-11-23T01:32:29.7301203Z }
2022-11-23T01:32:29.7301287Z ''')
2022-11-23T01:32:29.7301294Z 
2022-11-23T01:32:29.7301299Z 
2022-11-23T01:32:29.7301395Z async_compile.wait(globals())
2022-11-23T01:32:29.7301464Z del async_compile
2022-11-23T01:32:29.7301469Z 
2022-11-23T01:32:29.7301544Z def call(args):
2022-11-23T01:32:29.7301618Z     arg0_1, = args
2022-11-23T01:32:29.7301696Z     args.clear()
2022-11-23T01:32:29.7301915Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7302136Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7302311Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7302377Z     del arg0_1
2022-11-23T01:32:29.7302463Z     return (buf0, buf1, )
2022-11-23T01:32:29.7302468Z 
2022-11-23T01:32:29.7302473Z 
2022-11-23T01:32:29.7302554Z if __name__ == "__main__":
2022-11-23T01:32:29.7302674Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7302802Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7303017Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7303131Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7303136Z 
2022-11-23T01:32:29.7303209Z ok (1.647s)
2022-11-23T01:32:29.7303516Z   test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7303833Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7304058Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7304315Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7304595Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7304910Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7305294Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7305616Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7306005Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136> 
2022-11-23T01:32:29.7306111Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7306219Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7306318Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7306412Z                6 BUILD_LIST               0
2022-11-23T01:32:29.7306522Z                8 LOAD_CONST               1 ((1, 2, 3, 4, 5, 6))
2022-11-23T01:32:29.7306617Z               10 LIST_EXTEND              1
2022-11-23T01:32:29.7306716Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:29.7306814Z               14 CALL_METHOD              3
2022-11-23T01:32:29.7306819Z 
2022-11-23T01:32:29.7306922Z 3139          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7307026Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:29.7307121Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7307213Z               22 BUILD_LIST               0
2022-11-23T01:32:29.7307320Z               24 LOAD_CONST               3 ((0, 0, 3, 4, 0, 0))
2022-11-23T01:32:29.7307411Z               26 LIST_EXTEND              1
2022-11-23T01:32:29.7307507Z               28 LOAD_CONST               2 (6.0)
2022-11-23T01:32:29.7307599Z               30 CALL_METHOD              3
2022-11-23T01:32:29.7307604Z 
2022-11-23T01:32:29.7307699Z 3137          32 BUILD_TUPLE              2
2022-11-23T01:32:29.7307774Z               34 RETURN_VALUE
2022-11-23T01:32:29.7307840Z  
2022-11-23T01:32:29.7307848Z 
2022-11-23T01:32:29.7308163Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138
2022-11-23T01:32:29.7308390Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7308719Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7308987Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7309289Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7309625Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7309982Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7310389Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7310738Z [2022-11-23 01:22:54,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7311045Z [2022-11-23 01:22:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139
2022-11-23T01:32:29.7311290Z [2022-11-23 01:22:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7311665Z [2022-11-23 01:22:54,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7311959Z [2022-11-23 01:22:54,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:29.7312298Z [2022-11-23 01:22:54,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:29.7312656Z [2022-11-23 01:22:54,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7313039Z [2022-11-23 01:22:54,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7313383Z [2022-11-23 01:22:54,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7313765Z [2022-11-23 01:22:54,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.7314077Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137
2022-11-23T01:32:29.7314342Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7314579Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7314948Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136>
2022-11-23T01:32:29.7315191Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7315429Z [2022-11-23 01:22:54,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7315687Z [2022-11-23 01:22:54,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7315933Z [2022-11-23 01:22:54,873] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7316128Z [2022-11-23 01:22:54,873] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7316268Z  __compiled_fn_56 <eval_with_key>.360 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7316362Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7316507Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T01:32:29.7316661Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T01:32:29.7316799Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:29.7316805Z 
2022-11-23T01:32:29.7317137Z [2022-11-23 01:22:54,873] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7317239Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7317336Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7317429Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7317530Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7317615Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7317710Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7317791Z              12 RETURN_VALUE
2022-11-23T01:32:29.7317796Z 
2022-11-23T01:32:29.7317863Z  
2022-11-23T01:32:29.7318219Z [2022-11-23 01:22:54,873] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7318338Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_56)
2022-11-23T01:32:29.7318460Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7318556Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7318631Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7318726Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7318838Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7318946Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7319041Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7319126Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7319231Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7319319Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7319400Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7319500Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.7319587Z              26 RETURN_VALUE
2022-11-23T01:32:29.7319592Z 
2022-11-23T01:32:29.7319658Z  
2022-11-23T01:32:29.7319856Z [2022-11-23 01:22:54,874] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7319933Z  - 
2022-11-23T01:32:29.7320051Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7320123Z             {
2022-11-23T01:32:29.7320268Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7320460Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7320586Z                 'obj_weakref': None
2022-11-23T01:32:29.7320809Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7320879Z             }
2022-11-23T01:32:29.7320940Z             
2022-11-23T01:32:29.7321014Z  - 
2022-11-23T01:32:29.7321143Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7321215Z             {
2022-11-23T01:32:29.7321366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7321481Z                 'code': None,
2022-11-23T01:32:29.7321688Z                 'obj_weakref': <weakref at 0x7f20601274c0; to 'Tensor' at 0x7f2068122570>
2022-11-23T01:32:29.7321934Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7322004Z             }
2022-11-23T01:32:29.7322072Z             
2022-11-23T01:32:29.7322146Z  - 
2022-11-23T01:32:29.7322280Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7322348Z             {
2022-11-23T01:32:29.7322486Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7322652Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:29.7322776Z                 'obj_weakref': None
2022-11-23T01:32:29.7323006Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7323080Z             }
2022-11-23T01:32:29.7323148Z             
2022-11-23T01:32:29.7323222Z  - 
2022-11-23T01:32:29.7323348Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7323409Z             {
2022-11-23T01:32:29.7323554Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7323771Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7323893Z                 'obj_weakref': None
2022-11-23T01:32:29.7324115Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7324185Z             }
2022-11-23T01:32:29.7324252Z             
2022-11-23T01:32:29.7324320Z  - 
2022-11-23T01:32:29.7324456Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7324524Z             {
2022-11-23T01:32:29.7324653Z                 'guard_types': None,
2022-11-23T01:32:29.7324763Z                 'code': None,
2022-11-23T01:32:29.7324885Z                 'obj_weakref': None
2022-11-23T01:32:29.7325044Z                 'guarded_class': None
2022-11-23T01:32:29.7325107Z             }
2022-11-23T01:32:29.7325177Z             
2022-11-23T01:32:29.7325437Z [2022-11-23 01:22:54,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55
2022-11-23T01:32:29.7325822Z [2022-11-23 01:22:56,506] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w4/cw4fdechrp7d3xgfjxhlgzgd4utdabu746wbsejdgwxddxqxxaj6.py
2022-11-23T01:32:29.7326083Z [2022-11-23 01:22:56,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55
2022-11-23T01:32:29.7326089Z 
2022-11-23T01:32:29.7326190Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7326263Z import torch
2022-11-23T01:32:29.7326339Z import random
2022-11-23T01:32:29.7326453Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7326581Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7326586Z 
2022-11-23T01:32:29.7326672Z aten = torch.ops.aten
2022-11-23T01:32:29.7326814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7326913Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7326918Z 
2022-11-23T01:32:29.7326995Z import triton
2022-11-23T01:32:29.7327090Z import triton.language as tl
2022-11-23T01:32:29.7327210Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7327353Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7327358Z 
2022-11-23T01:32:29.7327363Z 
2022-11-23T01:32:29.7327499Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7327706Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7327832Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7327939Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7328041Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7328111Z {
2022-11-23T01:32:29.7328209Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7328279Z     {
2022-11-23T01:32:29.7328375Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.7328463Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.7328535Z         {
2022-11-23T01:32:29.7328627Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:32:29.7328696Z             {
2022-11-23T01:32:29.7328777Z                 #pragma GCC ivdep
2022-11-23T01:32:29.7328873Z                 for(long i2=0; i2<11; i2+=1)
2022-11-23T01:32:29.7328944Z                 {
2022-11-23T01:32:29.7329036Z                     #pragma GCC ivdep
2022-11-23T01:32:29.7329133Z                     for(long i3=0; i3<7; i3+=1)
2022-11-23T01:32:29.7329206Z                     {
2022-11-23T01:32:29.7329281Z                         {
2022-11-23T01:32:29.7329348Z                             {
2022-11-23T01:32:29.7329527Z                                 auto tmp0 = static_cast<long>((-5) + i1);
2022-11-23T01:32:29.7329646Z                                 auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.7329752Z                                 auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.7329868Z                                 auto tmp3 = static_cast<long>(4);
2022-11-23T01:32:29.7329983Z                                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.7330158Z                                 auto tmp5 = static_cast<long>((-3) + i2);
2022-11-23T01:32:29.7330257Z                                 auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:29.7330362Z                                 auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:29.7330540Z                                 auto tmp8 = static_cast<long>((-1) + i3);
2022-11-23T01:32:29.7330645Z                                 auto tmp9 = tmp8 >= tmp1;
2022-11-23T01:32:29.7330748Z                                 auto tmp10 = tmp8 < tmp3;
2022-11-23T01:32:29.7330850Z                                 auto tmp11 = tmp2 & tmp4;
2022-11-23T01:32:29.7330989Z                                 auto tmp12 = tmp11 & tmp6;
2022-11-23T01:32:29.7331099Z                                 auto tmp13 = tmp12 & tmp7;
2022-11-23T01:32:29.7331195Z                                 auto tmp14 = tmp13 & tmp9;
2022-11-23T01:32:29.7331351Z                                 auto tmp15 = tmp14 & tmp10;
2022-11-23T01:32:29.7331460Z                                 float tmp16 = 6.0;
2022-11-23T01:32:29.7331561Z                                 if(tmp15)
2022-11-23T01:32:29.7331642Z                                 {
2022-11-23T01:32:29.7331849Z                                     auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)];
2022-11-23T01:32:29.7331945Z                                     tmp16 = tmp17;
2022-11-23T01:32:29.7332016Z                                 }
2022-11-23T01:32:29.7332138Z                                 out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16;
2022-11-23T01:32:29.7332216Z                             }
2022-11-23T01:32:29.7332289Z                         }
2022-11-23T01:32:29.7332365Z                     }
2022-11-23T01:32:29.7332435Z                 }
2022-11-23T01:32:29.7332504Z             }
2022-11-23T01:32:29.7332565Z         }
2022-11-23T01:32:29.7332647Z         #pragma omp for 
2022-11-23T01:32:29.7332738Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7332807Z         {
2022-11-23T01:32:29.7332893Z             #pragma GCC ivdep
2022-11-23T01:32:29.7332983Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:29.7333052Z             {
2022-11-23T01:32:29.7333131Z                 #pragma GCC ivdep
2022-11-23T01:32:29.7333226Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:29.7333296Z                 {
2022-11-23T01:32:29.7333367Z                     {
2022-11-23T01:32:29.7333440Z                         {
2022-11-23T01:32:29.7333615Z                             auto tmp0 = static_cast<long>((-3) + i1);
2022-11-23T01:32:29.7333731Z                             auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:29.7333829Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:29.7333946Z                             auto tmp3 = static_cast<long>(4);
2022-11-23T01:32:29.7334048Z                             auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:29.7334152Z                             auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:29.7334247Z                             float tmp6 = 6.0;
2022-11-23T01:32:29.7334330Z                             if(tmp5)
2022-11-23T01:32:29.7334406Z                             {
2022-11-23T01:32:29.7334585Z                                 auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)];
2022-11-23T01:32:29.7334678Z                                 tmp6 = tmp7;
2022-11-23T01:32:29.7334754Z                             }
2022-11-23T01:32:29.7334864Z                             out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6;
2022-11-23T01:32:29.7334938Z                         }
2022-11-23T01:32:29.7335009Z                     }
2022-11-23T01:32:29.7335079Z                 }
2022-11-23T01:32:29.7335140Z             }
2022-11-23T01:32:29.7335209Z         }
2022-11-23T01:32:29.7335277Z     }
2022-11-23T01:32:29.7335342Z }
2022-11-23T01:32:29.7335427Z ''')
2022-11-23T01:32:29.7335433Z 
2022-11-23T01:32:29.7335437Z 
2022-11-23T01:32:29.7335535Z async_compile.wait(globals())
2022-11-23T01:32:29.7335611Z del async_compile
2022-11-23T01:32:29.7335616Z 
2022-11-23T01:32:29.7335684Z def call(args):
2022-11-23T01:32:29.7335759Z     arg0_1, = args
2022-11-23T01:32:29.7335836Z     args.clear()
2022-11-23T01:32:29.7336056Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7336273Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7336439Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7336513Z     del arg0_1
2022-11-23T01:32:29.7336587Z     return (buf0, buf1, )
2022-11-23T01:32:29.7336600Z 
2022-11-23T01:32:29.7336604Z 
2022-11-23T01:32:29.7336706Z if __name__ == "__main__":
2022-11-23T01:32:29.7336828Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7336957Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7337194Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7337307Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7337312Z 
2022-11-23T01:32:29.7337385Z ok (1.657s)
2022-11-23T01:32:29.7337718Z   test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:22:56,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7338034Z [2022-11-23 01:22:56,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7338247Z [2022-11-23 01:22:56,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7338505Z [2022-11-23 01:22:56,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7338783Z [2022-11-23 01:22:56,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7339229Z [2022-11-23 01:22:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7339568Z [2022-11-23 01:22:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7339884Z [2022-11-23 01:22:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7340248Z [2022-11-23 01:22:56,523] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865> 
2022-11-23T01:32:29.7340359Z  1866           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7340458Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.7340557Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.7340673Z                6 LOAD_ATTR                3 (convolution_backward)
2022-11-23T01:32:29.7340776Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.7340782Z 
2022-11-23T01:32:29.7340887Z 1867          10 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:29.7340893Z 
2022-11-23T01:32:29.7340992Z 1868          12 LOAD_FAST                1 (inp)
2022-11-23T01:32:29.7340997Z 
2022-11-23T01:32:29.7341101Z 1869          14 LOAD_FAST                2 (weight)
2022-11-23T01:32:29.7341105Z 
2022-11-23T01:32:29.7341203Z 1870          16 LOAD_CONST               1 (320)
2022-11-23T01:32:29.7341297Z               18 BUILD_LIST               1
2022-11-23T01:32:29.7341303Z 
2022-11-23T01:32:29.7341401Z 1871          20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7341499Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7341587Z               24 BUILD_LIST               2
2022-11-23T01:32:29.7341591Z 
2022-11-23T01:32:29.7341688Z 1872          26 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7341782Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7341876Z               30 BUILD_LIST               2
2022-11-23T01:32:29.7341882Z 
2022-11-23T01:32:29.7341974Z 1873          32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7342066Z               34 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7342159Z               36 BUILD_LIST               2
2022-11-23T01:32:29.7342164Z 
2022-11-23T01:32:29.7342263Z 1874          38 LOAD_CONST               4 (False)
2022-11-23T01:32:29.7342268Z 
2022-11-23T01:32:29.7342354Z 1875          40 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7342446Z               42 LOAD_CONST               3 (0)
2022-11-23T01:32:29.7342597Z               44 BUILD_LIST               2
2022-11-23T01:32:29.7342603Z 
2022-11-23T01:32:29.7342697Z 1876          46 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7342702Z 
2022-11-23T01:32:29.7342796Z 1877          48 BUILD_LIST               0
2022-11-23T01:32:29.7342944Z               50 LOAD_CONST               5 ((True, True, True))
2022-11-23T01:32:29.7343041Z               52 LIST_EXTEND              1
2022-11-23T01:32:29.7343047Z 
2022-11-23T01:32:29.7343139Z 1866          54 CALL_METHOD             11
2022-11-23T01:32:29.7343257Z               56 STORE_FAST               3 (convolution_backward_8)
2022-11-23T01:32:29.7343270Z 
2022-11-23T01:32:29.7343382Z 1879          58 LOAD_FAST                3 (convolution_backward_8)
2022-11-23T01:32:29.7343469Z               60 RETURN_VALUE
2022-11-23T01:32:29.7343535Z  
2022-11-23T01:32:29.7343540Z 
2022-11-23T01:32:29.7343857Z [2022-11-23 01:22:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:32:29.7344082Z [2022-11-23 01:22:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7344449Z [2022-11-23 01:22:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7344742Z [2022-11-23 01:22:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.7345070Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7345353Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:29.7345654Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1867
2022-11-23T01:32:29.7345962Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)]
2022-11-23T01:32:29.7346271Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1868
2022-11-23T01:32:29.7346588Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()]
2022-11-23T01:32:29.7346895Z [2022-11-23 01:22:56,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1869
2022-11-23T01:32:29.7347253Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7347563Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1870
2022-11-23T01:32:29.7347935Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7348342Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7348648Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1871
2022-11-23T01:32:29.7349046Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7349496Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7349976Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7350344Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1872
2022-11-23T01:32:29.7350800Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7351245Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7351728Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7352035Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1873
2022-11-23T01:32:29.7352475Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7352950Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7353457Z [2022-11-23 01:22:56,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7353775Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1874
2022-11-23T01:32:29.7354247Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7354556Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1875
2022-11-23T01:32:29.7355052Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7355589Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:29.7356189Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7356501Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1876
2022-11-23T01:32:29.7357040Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:29.7357346Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1877
2022-11-23T01:32:29.7357906Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7358513Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:29.7359140Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7359449Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:32:29.7360039Z [2022-11-23 01:22:56,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:29.7360315Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()]
2022-11-23T01:32:29.7360619Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1879
2022-11-23T01:32:29.7360867Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 []
2022-11-23T01:32:29.7361112Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7361491Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865>
2022-11-23T01:32:29.7361742Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7361980Z [2022-11-23 01:22:56,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7362238Z [2022-11-23 01:22:56,537] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7362490Z [2022-11-23 01:22:56,540] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7362685Z [2022-11-23 01:22:56,541] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7362827Z  __compiled_fn_57 <eval_with_key>.366 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7362914Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7363031Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7363125Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.7363348Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:29.7363606Z call_function, getitem, <built-in function getitem>, (convolution_backward_default, 0), {}
2022-11-23T01:32:29.7363840Z call_function, getitem_1, <built-in function getitem>, (convolution_backward_default, 1), {}
2022-11-23T01:32:29.7364070Z call_function, getitem_2, <built-in function getitem>, (convolution_backward_default, 2), {}
2022-11-23T01:32:29.7364205Z output, output, output, ((getitem, getitem_1, getitem_2),), {}
2022-11-23T01:32:29.7364210Z 
2022-11-23T01:32:29.7364529Z [2022-11-23 01:22:56,541] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7364633Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7364730Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7364826Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7364931Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7365021Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7365115Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7365190Z              12 RETURN_VALUE
2022-11-23T01:32:29.7365201Z 
2022-11-23T01:32:29.7365259Z  
2022-11-23T01:32:29.7365587Z [2022-11-23 01:22:56,541] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7365704Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_57)
2022-11-23T01:32:29.7365801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7365899Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7365981Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7366082Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7366169Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7366254Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7366351Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7366443Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7366528Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.7366621Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.7366733Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7366834Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7366929Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7367010Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7367116Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7367210Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7367294Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7367404Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7367491Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7367571Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7367668Z              42 BUILD_TUPLE              3
2022-11-23T01:32:29.7367749Z              44 RETURN_VALUE
2022-11-23T01:32:29.7367754Z 
2022-11-23T01:32:29.7367818Z  
2022-11-23T01:32:29.7368009Z [2022-11-23 01:22:56,542] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7368085Z  - 
2022-11-23T01:32:29.7368210Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7368272Z             {
2022-11-23T01:32:29.7368419Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7368608Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.7368736Z                 'obj_weakref': None
2022-11-23T01:32:29.7368995Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7369066Z             }
2022-11-23T01:32:29.7369133Z             
2022-11-23T01:32:29.7369201Z  - 
2022-11-23T01:32:29.7369330Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7369422Z             {
2022-11-23T01:32:29.7369575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7369688Z                 'code': None,
2022-11-23T01:32:29.7369899Z                 'obj_weakref': <weakref at 0x7f2060737bf0; to 'Tensor' at 0x7f2072846200>
2022-11-23T01:32:29.7370148Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7370210Z             }
2022-11-23T01:32:29.7370279Z             
2022-11-23T01:32:29.7370357Z  - 
2022-11-23T01:32:29.7370482Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7437156Z             {
2022-11-23T01:32:29.7437513Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7437623Z                 'code': None,
2022-11-23T01:32:29.7437858Z                 'obj_weakref': <weakref at 0x7f2060737b50; to 'Tensor' at 0x7f2068122570>
2022-11-23T01:32:29.7438105Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7438179Z             }
2022-11-23T01:32:29.7438244Z             
2022-11-23T01:32:29.7438317Z  - 
2022-11-23T01:32:29.7438442Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.7438508Z             {
2022-11-23T01:32:29.7438650Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7438757Z                 'code': None,
2022-11-23T01:32:29.7438959Z                 'obj_weakref': <weakref at 0x7f2060125d00; to 'Tensor' at 0x7f20680b1350>
2022-11-23T01:32:29.7439203Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7439270Z             }
2022-11-23T01:32:29.7439336Z             
2022-11-23T01:32:29.7439407Z  - 
2022-11-23T01:32:29.7439539Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7439605Z             {
2022-11-23T01:32:29.7439742Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7439917Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:29.7440040Z                 'obj_weakref': None
2022-11-23T01:32:29.7440267Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7440333Z             }
2022-11-23T01:32:29.7440395Z             
2022-11-23T01:32:29.7440467Z  - 
2022-11-23T01:32:29.7440590Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7440655Z             {
2022-11-23T01:32:29.7440792Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7441008Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7441129Z                 'obj_weakref': None
2022-11-23T01:32:29.7441346Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7441412Z             }
2022-11-23T01:32:29.7441476Z             
2022-11-23T01:32:29.7441547Z  - 
2022-11-23T01:32:29.7441683Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7441750Z             {
2022-11-23T01:32:29.7441867Z                 'guard_types': None,
2022-11-23T01:32:29.7441975Z                 'code': None,
2022-11-23T01:32:29.7442093Z                 'obj_weakref': None
2022-11-23T01:32:29.7442213Z                 'guarded_class': None
2022-11-23T01:32:29.7442278Z             }
2022-11-23T01:32:29.7442343Z             
2022-11-23T01:32:29.7442605Z [2022-11-23 01:22:56,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56
2022-11-23T01:32:29.7442962Z [2022-11-23 01:22:58,186] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3rl4svri5dfj6725jtjbfro7cwrrkqgpmxajfwdiaf26vlpyos.py
2022-11-23T01:32:29.7443484Z [2022-11-23 01:22:58,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56
2022-11-23T01:32:29.7443492Z 
2022-11-23T01:32:29.7443592Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7443664Z import torch
2022-11-23T01:32:29.7443797Z import random
2022-11-23T01:32:29.7443915Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7444039Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7444045Z 
2022-11-23T01:32:29.7444126Z aten = torch.ops.aten
2022-11-23T01:32:29.7444263Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7444356Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7444361Z 
2022-11-23T01:32:29.7444432Z import triton
2022-11-23T01:32:29.7444522Z import triton.language as tl
2022-11-23T01:32:29.7444646Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7444785Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7444791Z 
2022-11-23T01:32:29.7444795Z 
2022-11-23T01:32:29.7444935Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7445141Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7445270Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7445375Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.7445476Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7445576Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7445638Z {
2022-11-23T01:32:29.7445740Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7445803Z     {
2022-11-23T01:32:29.7445896Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.7445978Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.7446043Z         {
2022-11-23T01:32:29.7446132Z             for(long i1=0; i1<320; i1+=1)
2022-11-23T01:32:29.7446198Z             {
2022-11-23T01:32:29.7446283Z                 #pragma GCC ivdep
2022-11-23T01:32:29.7446378Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:32:29.7446443Z                 {
2022-11-23T01:32:29.7446512Z                     {
2022-11-23T01:32:29.7446582Z                         {
2022-11-23T01:32:29.7446703Z                             auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)];
2022-11-23T01:32:29.7446815Z                             out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0;
2022-11-23T01:32:29.7446885Z                         }
2022-11-23T01:32:29.7446954Z                     }
2022-11-23T01:32:29.7447018Z                 }
2022-11-23T01:32:29.7447084Z             }
2022-11-23T01:32:29.7447148Z         }
2022-11-23T01:32:29.7447243Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.7447327Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.7447391Z         {
2022-11-23T01:32:29.7447480Z             for(long i1=0; i1<2048; i1+=1)
2022-11-23T01:32:29.7447542Z             {
2022-11-23T01:32:29.7447627Z                 #pragma GCC ivdep
2022-11-23T01:32:29.7447722Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:32:29.7447789Z                 {
2022-11-23T01:32:29.7447856Z                     {
2022-11-23T01:32:29.7447926Z                         {
2022-11-23T01:32:29.7448047Z                             auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)];
2022-11-23T01:32:29.7448155Z                             out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0;
2022-11-23T01:32:29.7448227Z                         }
2022-11-23T01:32:29.7448295Z                     }
2022-11-23T01:32:29.7448360Z                 }
2022-11-23T01:32:29.7448425Z             }
2022-11-23T01:32:29.7448491Z         }
2022-11-23T01:32:29.7448554Z     }
2022-11-23T01:32:29.7448613Z }
2022-11-23T01:32:29.7448698Z ''')
2022-11-23T01:32:29.7448703Z 
2022-11-23T01:32:29.7448708Z 
2022-11-23T01:32:29.7448800Z async_compile.wait(globals())
2022-11-23T01:32:29.7448874Z del async_compile
2022-11-23T01:32:29.7448879Z 
2022-11-23T01:32:29.7448950Z def call(args):
2022-11-23T01:32:29.7449072Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.7449147Z     args.clear()
2022-11-23T01:32:29.7449368Z     buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7449622Z     buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7449817Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7449887Z     del arg0_1
2022-11-23T01:32:29.7449956Z     del arg1_1
2022-11-23T01:32:29.7450123Z     buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:29.7450193Z     del arg2_1
2022-11-23T01:32:29.7450261Z     del buf0
2022-11-23T01:32:29.7450325Z     del buf1
2022-11-23T01:32:29.7450395Z     buf3 = buf2[0]
2022-11-23T01:32:29.7450513Z     assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2022-11-23T01:32:29.7450587Z     buf4 = buf2[1]
2022-11-23T01:32:29.7450703Z     assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2022-11-23T01:32:29.7450773Z     buf5 = buf2[2]
2022-11-23T01:32:29.7450876Z     assert_size_stride(buf5, (320, ), (1, ))
2022-11-23T01:32:29.7450940Z     del buf2
2022-11-23T01:32:29.7451025Z     return (buf3, buf4, buf5, )
2022-11-23T01:32:29.7451031Z 
2022-11-23T01:32:29.7451035Z 
2022-11-23T01:32:29.7451114Z if __name__ == "__main__":
2022-11-23T01:32:29.7451231Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7451355Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7451572Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7451792Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7452021Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7452146Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.7452152Z 
2022-11-23T01:32:29.7452221Z ok (1.692s)
2022-11-23T01:32:29.7452387Z   test_conv2d_binary_cpu (__main__.CpuTests) ... skip: only support cpu conv2d binary test (0.002s)
2022-11-23T01:32:29.7452559Z   test_conv2d_channels_last_cpu (__main__.CpuTests) ... skip: only support cpu channels_last (0.001s)
2022-11-23T01:32:29.7452721Z   test_conv2d_unary_cpu (__main__.CpuTests) ... skip: only support cpu conv2d unary test (0.001s)
2022-11-23T01:32:29.7452890Z   test_conv3d_channels_last_cpu (__main__.CpuTests) ... skip: only support cpu channels_last (0.001s)
2022-11-23T01:32:29.7453400Z   test_conv_autotune_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:29.7453481Z   warnings.warn(
2022-11-23T01:32:29.7453730Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing triton_conv
2022-11-23T01:32:29.7454039Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2255
2022-11-23T01:32:29.7454261Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.7454620Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.7454936Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.7455328Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.7455699Z [2022-11-23 01:22:58,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST bias [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7456127Z [2022-11-23 01:22:58,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7456553Z [2022-11-23 01:22:58,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:29.7457003Z [2022-11-23 01:22:58,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dilation [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.7457471Z [2022-11-23 01:22:58,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST groups [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.7457978Z [2022-11-23 01:22:58,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7458216Z [2022-11-23 01:22:58,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:29.7458523Z [2022-11-23 01:22:58,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2256
2022-11-23T01:32:29.7458735Z [2022-11-23 01:22:58,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y []
2022-11-23T01:32:29.7459136Z [2022-11-23 01:22:58,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.7459388Z [2022-11-23 01:22:58,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing triton_conv
2022-11-23T01:32:29.7459629Z [2022-11-23 01:22:58,246] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.7459863Z [2022-11-23 01:22:58,249] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.7460054Z [2022-11-23 01:22:58,249] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7460193Z  __compiled_fn_58 <eval_with_key>.372 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7460284Z placeholder, x, x, (), {}
2022-11-23T01:32:29.7460370Z placeholder, w, w, (), {}
2022-11-23T01:32:29.7460458Z placeholder, bias, bias, (), {}
2022-11-23T01:32:29.7460728Z call_function, conv2d, <built-in method conv2d of type object at 0x7f209c394c60>, (x, w, bias, (1, 1), (0, 0), (1, 1), 1), {}
2022-11-23T01:32:29.7460833Z output, output, output, ((conv2d,),), {}
2022-11-23T01:32:29.7460841Z 
2022-11-23T01:32:29.7461184Z [2022-11-23 01:22:58,249] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2245 
2022-11-23T01:32:29.7461289Z 2255           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.7461393Z                2 LOAD_METHOD              1 (conv2d)
2022-11-23T01:32:29.7461491Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7461589Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:29.7461681Z                8 LOAD_FAST                2 (bias)
2022-11-23T01:32:29.7461781Z               10 LOAD_FAST                3 (stride)
2022-11-23T01:32:29.7461886Z               12 LOAD_FAST                4 (padding)
2022-11-23T01:32:29.7462035Z               14 LOAD_FAST                5 (dilation)
2022-11-23T01:32:29.7462142Z               16 LOAD_FAST                6 (groups)
2022-11-23T01:32:29.7462238Z               18 CALL_METHOD              7
2022-11-23T01:32:29.7462364Z               20 STORE_FAST               7 (y)
2022-11-23T01:32:29.7462369Z 
2022-11-23T01:32:29.7462456Z 2256          22 LOAD_FAST                7 (y)
2022-11-23T01:32:29.7462540Z               24 RETURN_VALUE
2022-11-23T01:32:29.7462545Z 
2022-11-23T01:32:29.7462611Z  
2022-11-23T01:32:29.7462950Z [2022-11-23 01:22:58,250] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2245 
2022-11-23T01:32:29.7463066Z 2245           0 LOAD_GLOBAL              2 (__compiled_fn_58)
2022-11-23T01:32:29.7463161Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7463257Z                4 LOAD_FAST                1 (w)
2022-11-23T01:32:29.7463354Z                6 LOAD_FAST                2 (bias)
2022-11-23T01:32:29.7463447Z                8 CALL_FUNCTION            3
2022-11-23T01:32:29.7463548Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.7463630Z               12 RETURN_VALUE
2022-11-23T01:32:29.7463638Z 
2022-11-23T01:32:29.7463709Z  
2022-11-23T01:32:29.7463898Z [2022-11-23 01:22:58,251] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7463974Z  - 
2022-11-23T01:32:29.7464102Z             local 'w' TENSOR_MATCH
2022-11-23T01:32:29.7464165Z             {
2022-11-23T01:32:29.7464313Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7464427Z                 'code': None,
2022-11-23T01:32:29.7464637Z                 'obj_weakref': <weakref at 0x7f206013b1a0; to 'Tensor' at 0x7f206070fce0>
2022-11-23T01:32:29.7464890Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7464961Z             }
2022-11-23T01:32:29.7465032Z             
2022-11-23T01:32:29.7465110Z  - 
2022-11-23T01:32:29.7465232Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.7465302Z             {
2022-11-23T01:32:29.7465449Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7465561Z                 'code': None,
2022-11-23T01:32:29.7465772Z                 'obj_weakref': <weakref at 0x7f20680532e0; to 'Tensor' at 0x7f206070d8f0>
2022-11-23T01:32:29.7466020Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7466089Z             }
2022-11-23T01:32:29.7466151Z             
2022-11-23T01:32:29.7466229Z  - 
2022-11-23T01:32:29.7466359Z             local 'bias' TENSOR_MATCH
2022-11-23T01:32:29.7466431Z             {
2022-11-23T01:32:29.7466583Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7466696Z                 'code': None,
2022-11-23T01:32:29.7466893Z                 'obj_weakref': <weakref at 0x7f206013a750; to 'Tensor' at 0x7f20606e6340>
2022-11-23T01:32:29.7467143Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7467213Z             }
2022-11-23T01:32:29.7467283Z             
2022-11-23T01:32:29.7467360Z  - 
2022-11-23T01:32:29.7467498Z             local 'groups' CONSTANT_MATCH
2022-11-23T01:32:29.7467568Z             {
2022-11-23T01:32:29.7467708Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7467908Z                 'code': ['___check_type_id(groups, 94768292480384)', 'groups == 1'],
2022-11-23T01:32:29.7468033Z                 'obj_weakref': None
2022-11-23T01:32:29.7468250Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7468320Z             }
2022-11-23T01:32:29.7468389Z             
2022-11-23T01:32:29.7468464Z  - 
2022-11-23T01:32:29.7468597Z             local 'stride' EQUALS_MATCH
2022-11-23T01:32:29.7468659Z             {
2022-11-23T01:32:29.7468906Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:29.7469249Z                 'code': ['___check_type_id(stride, 94768292458112)', 'len(stride) == 2', '___check_type_id(stride[0], 94768292480384)', '___check_type_id(stride[1], 94768292480384)', 'stride == (1, 1)'],
2022-11-23T01:32:29.7469408Z                 'obj_weakref': None
2022-11-23T01:32:29.7469631Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7469702Z             }
2022-11-23T01:32:29.7469772Z             
2022-11-23T01:32:29.7469841Z  - 
2022-11-23T01:32:29.7469977Z             local 'padding' EQUALS_MATCH
2022-11-23T01:32:29.7470047Z             {
2022-11-23T01:32:29.7470219Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:29.7470697Z                 'code': ['___check_type_id(padding, 94768292458112)', 'len(padding) == 2', '___check_type_id(padding[0], 94768292480384)', '___check_type_id(padding[1], 94768292480384)', 'padding == (0, 0)'],
2022-11-23T01:32:29.7470826Z                 'obj_weakref': None
2022-11-23T01:32:29.7471050Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7471123Z             }
2022-11-23T01:32:29.7471188Z             
2022-11-23T01:32:29.7471265Z  - 
2022-11-23T01:32:29.7471402Z             local 'dilation' EQUALS_MATCH
2022-11-23T01:32:29.7471472Z             {
2022-11-23T01:32:29.7471642Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:29.7471995Z                 'code': ['___check_type_id(dilation, 94768292458112)', 'len(dilation) == 2', '___check_type_id(dilation[0], 94768292480384)', '___check_type_id(dilation[1], 94768292480384)', 'dilation == (1, 1)'],
2022-11-23T01:32:29.7472117Z                 'obj_weakref': None
2022-11-23T01:32:29.7472332Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7472405Z             }
2022-11-23T01:32:29.7472473Z             
2022-11-23T01:32:29.7472552Z  - 
2022-11-23T01:32:29.7472694Z             local 'stride[0]' CONSTANT_MATCH
2022-11-23T01:32:29.7472764Z             {
2022-11-23T01:32:29.7472909Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7473107Z                 'code': ['___check_type_id(stride[0], 94768292480384)', 'stride[0] == 1'],
2022-11-23T01:32:29.7473230Z                 'obj_weakref': None
2022-11-23T01:32:29.7473449Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7473518Z             }
2022-11-23T01:32:29.7473588Z             
2022-11-23T01:32:29.7473664Z  - 
2022-11-23T01:32:29.7473807Z             local 'stride[1]' CONSTANT_MATCH
2022-11-23T01:32:29.7473869Z             {
2022-11-23T01:32:29.7474015Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7474217Z                 'code': ['___check_type_id(stride[1], 94768292480384)', 'stride[1] == 1'],
2022-11-23T01:32:29.7474339Z                 'obj_weakref': None
2022-11-23T01:32:29.7474563Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7474633Z             }
2022-11-23T01:32:29.7474702Z             
2022-11-23T01:32:29.7474772Z  - 
2022-11-23T01:32:29.7474918Z             local 'padding[0]' CONSTANT_MATCH
2022-11-23T01:32:29.7474987Z             {
2022-11-23T01:32:29.7475133Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7475341Z                 'code': ['___check_type_id(padding[0], 94768292480384)', 'padding[0] == 0'],
2022-11-23T01:32:29.7475466Z                 'obj_weakref': None
2022-11-23T01:32:29.7475683Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7475745Z             }
2022-11-23T01:32:29.7475815Z             
2022-11-23T01:32:29.7475891Z  - 
2022-11-23T01:32:29.7476041Z             local 'padding[1]' CONSTANT_MATCH
2022-11-23T01:32:29.7476109Z             {
2022-11-23T01:32:29.7476289Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7476498Z                 'code': ['___check_type_id(padding[1], 94768292480384)', 'padding[1] == 0'],
2022-11-23T01:32:29.7476613Z                 'obj_weakref': None
2022-11-23T01:32:29.7476858Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7476928Z             }
2022-11-23T01:32:29.7476997Z             
2022-11-23T01:32:29.7477076Z  - 
2022-11-23T01:32:29.7477223Z             local 'dilation[0]' CONSTANT_MATCH
2022-11-23T01:32:29.7477293Z             {
2022-11-23T01:32:29.7477430Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7477639Z                 'code': ['___check_type_id(dilation[0], 94768292480384)', 'dilation[0] == 1'],
2022-11-23T01:32:29.7477764Z                 'obj_weakref': None
2022-11-23T01:32:29.7477977Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7478047Z             }
2022-11-23T01:32:29.7478123Z             
2022-11-23T01:32:29.7478200Z  - 
2022-11-23T01:32:29.7478338Z             local 'dilation[1]' CONSTANT_MATCH
2022-11-23T01:32:29.7478409Z             {
2022-11-23T01:32:29.7478555Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7478762Z                 'code': ['___check_type_id(dilation[1], 94768292480384)', 'dilation[1] == 1'],
2022-11-23T01:32:29.7478884Z                 'obj_weakref': None
2022-11-23T01:32:29.7479100Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7479169Z             }
2022-11-23T01:32:29.7479231Z             
2022-11-23T01:32:29.7479308Z  - 
2022-11-23T01:32:29.7479445Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.7479514Z             {
2022-11-23T01:32:29.7479639Z                 'guard_types': None,
2022-11-23T01:32:29.7479754Z                 'code': None,
2022-11-23T01:32:29.7479877Z                 'obj_weakref': None
2022-11-23T01:32:29.7479998Z                 'guarded_class': None
2022-11-23T01:32:29.7480067Z             }
2022-11-23T01:32:29.7480135Z             
2022-11-23T01:32:29.7480394Z [2022-11-23 01:22:58,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57
2022-11-23T01:32:29.7480762Z [2022-11-23 01:22:58,261] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhddpeesae6kk3q7yuprhe6bfm25cf4eumi4zh3whgzf7cnhrgb.py
2022-11-23T01:32:29.7481026Z [2022-11-23 01:22:58,261] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57
2022-11-23T01:32:29.7481032Z 
2022-11-23T01:32:29.7481133Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7481208Z import torch
2022-11-23T01:32:29.7481276Z import random
2022-11-23T01:32:29.7481398Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7481526Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7481532Z 
2022-11-23T01:32:29.7481615Z aten = torch.ops.aten
2022-11-23T01:32:29.7481761Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7481862Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7481867Z 
2022-11-23T01:32:29.7481944Z import triton
2022-11-23T01:32:29.7482031Z import triton.language as tl
2022-11-23T01:32:29.7482158Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7482304Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7482310Z 
2022-11-23T01:32:29.7482461Z from torch._inductor.triton_ops.conv_perf_model import early_config_prune
2022-11-23T01:32:29.7482613Z from torch._inductor.triton_ops.conv_perf_model import estimate_conv_time
2022-11-23T01:32:29.7482752Z from torch._inductor.triton_ops.autotune import conv_heuristics
2022-11-23T01:32:29.7482758Z 
2022-11-23T01:32:29.7482762Z 
2022-11-23T01:32:29.7482858Z async_compile.wait(globals())
2022-11-23T01:32:29.7482936Z del async_compile
2022-11-23T01:32:29.7482941Z 
2022-11-23T01:32:29.7483053Z def call(args):
2022-11-23T01:32:29.7483137Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.7483215Z     args.clear()
2022-11-23T01:32:29.7483361Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:29.7483504Z     assert_size_stride(buf0, (32, 32, 32, 32), (32768, 1024, 32, 1))
2022-11-23T01:32:29.7483578Z     del arg0_1
2022-11-23T01:32:29.7483654Z     del arg1_1
2022-11-23T01:32:29.7483727Z     del arg2_1
2022-11-23T01:32:29.7483796Z     return (buf0, )
2022-11-23T01:32:29.7483802Z 
2022-11-23T01:32:29.7483806Z 
2022-11-23T01:32:29.7483888Z if __name__ == "__main__":
2022-11-23T01:32:29.7484010Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7484140Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7484373Z     arg0_1 = rand_strided((32, 128, 32, 32), (131072, 1024, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7484595Z     arg1_1 = rand_strided((32, 128, 1, 1), (128, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7484792Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7484922Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.7484931Z 
2022-11-23T01:32:29.7484997Z ok (0.074s)
2022-11-23T01:32:29.7485307Z   test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7485621Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7485843Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7486097Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7486377Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7486694Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7487036Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7487354Z [2022-11-23 01:22:58,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7487721Z [2022-11-23 01:22:58,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279> 
2022-11-23T01:32:29.7487817Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7487940Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:29.7488039Z                4 BUILD_LIST               0
2022-11-23T01:32:29.7488044Z 
2022-11-23T01:32:29.7488153Z 4282           6 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:29.7488160Z 
2022-11-23T01:32:29.7488256Z 4281           8 LIST_EXTEND              1
2022-11-23T01:32:29.7488261Z 
2022-11-23T01:32:29.7488360Z 4283          10 LOAD_DEREF               0 (C)
2022-11-23T01:32:29.7488454Z               12 BUILD_LIST               1
2022-11-23T01:32:29.7488459Z 
2022-11-23T01:32:29.7488554Z 4281          14 LIST_APPEND              1
2022-11-23T01:32:29.7488559Z 
2022-11-23T01:32:29.7488656Z 4284          16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7488744Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7488839Z               20 BUILD_LIST               2
2022-11-23T01:32:29.7488843Z 
2022-11-23T01:32:29.7488937Z 4281          22 LIST_APPEND              1
2022-11-23T01:32:29.7488943Z 
2022-11-23T01:32:29.7489063Z 4285          24 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7489161Z               26 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7489253Z               28 BUILD_LIST               2
2022-11-23T01:32:29.7489258Z 
2022-11-23T01:32:29.7489375Z 4281          30 LIST_APPEND              1
2022-11-23T01:32:29.7489380Z 
2022-11-23T01:32:29.7489474Z 4286          32 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7489560Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7489653Z               36 BUILD_LIST               2
2022-11-23T01:32:29.7489658Z 
2022-11-23T01:32:29.7489751Z 4281          38 LIST_APPEND              1
2022-11-23T01:32:29.7489756Z 
2022-11-23T01:32:29.7489857Z 4287          40 LOAD_CONST               3 (False)
2022-11-23T01:32:29.7489862Z 
2022-11-23T01:32:29.7489958Z 4281          42 LIST_APPEND              1
2022-11-23T01:32:29.7489963Z 
2022-11-23T01:32:29.7490059Z 4288          44 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7490151Z               46 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7490247Z               48 BUILD_LIST               2
2022-11-23T01:32:29.7490252Z 
2022-11-23T01:32:29.7490345Z 4281          50 LIST_APPEND              1
2022-11-23T01:32:29.7490350Z 
2022-11-23T01:32:29.7490440Z 4289          52 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7490452Z 
2022-11-23T01:32:29.7490537Z 4281          54 LIST_APPEND              1
2022-11-23T01:32:29.7490542Z 
2022-11-23T01:32:29.7490633Z 4290          56 BUILD_LIST               0
2022-11-23T01:32:29.7490751Z               58 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:29.7490844Z               60 LIST_EXTEND              1
2022-11-23T01:32:29.7490849Z 
2022-11-23T01:32:29.7490943Z 4281          62 LIST_APPEND              1
2022-11-23T01:32:29.7491028Z               64 LIST_TO_TUPLE
2022-11-23T01:32:29.7491126Z               66 CALL_FUNCTION_EX         0
2022-11-23T01:32:29.7491219Z               68 STORE_FAST               3 (out1)
2022-11-23T01:32:29.7491233Z 
2022-11-23T01:32:29.7491347Z 4292          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7491483Z               72 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:29.7491590Z               74 BUILD_LIST               0
2022-11-23T01:32:29.7491598Z 
2022-11-23T01:32:29.7491705Z 4293          76 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:29.7491710Z 
2022-11-23T01:32:29.7491804Z 4292          78 LIST_EXTEND              1
2022-11-23T01:32:29.7491809Z 
2022-11-23T01:32:29.7491906Z 4294          80 LOAD_DEREF               0 (C)
2022-11-23T01:32:29.7491999Z               82 BUILD_LIST               1
2022-11-23T01:32:29.7492004Z 
2022-11-23T01:32:29.7492097Z 4292          84 LIST_APPEND              1
2022-11-23T01:32:29.7492102Z 
2022-11-23T01:32:29.7492191Z 4295          86 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7492285Z               88 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7492377Z               90 BUILD_LIST               2
2022-11-23T01:32:29.7492382Z 
2022-11-23T01:32:29.7492476Z 4292          92 LIST_APPEND              1
2022-11-23T01:32:29.7492481Z 
2022-11-23T01:32:29.7492575Z 4296          94 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7492673Z               96 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7492767Z               98 BUILD_LIST               2
2022-11-23T01:32:29.7492772Z 
2022-11-23T01:32:29.7492863Z 4292         100 LIST_APPEND              1
2022-11-23T01:32:29.7492868Z 
2022-11-23T01:32:29.7492965Z 4297         102 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7493053Z              104 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7493145Z              106 BUILD_LIST               2
2022-11-23T01:32:29.7493149Z 
2022-11-23T01:32:29.7493244Z 4292         108 LIST_APPEND              1
2022-11-23T01:32:29.7493249Z 
2022-11-23T01:32:29.7493349Z 4298         110 LOAD_CONST               3 (False)
2022-11-23T01:32:29.7493354Z 
2022-11-23T01:32:29.7493447Z 4292         112 LIST_APPEND              1
2022-11-23T01:32:29.7493452Z 
2022-11-23T01:32:29.7493572Z 4299         114 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7493668Z              116 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7493760Z              118 BUILD_LIST               2
2022-11-23T01:32:29.7493792Z 
2022-11-23T01:32:29.7493878Z 4292         120 LIST_APPEND              1
2022-11-23T01:32:29.7493891Z 
2022-11-23T01:32:29.7493979Z 4300         122 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7493984Z 
2022-11-23T01:32:29.7494077Z 4292         124 LIST_APPEND              1
2022-11-23T01:32:29.7494081Z 
2022-11-23T01:32:29.7494172Z 4301         126 BUILD_LIST               0
2022-11-23T01:32:29.7494296Z              128 LOAD_CONST               5 ((True, False, False))
2022-11-23T01:32:29.7494392Z              130 LIST_EXTEND              1
2022-11-23T01:32:29.7494397Z 
2022-11-23T01:32:29.7494489Z 4292         132 LIST_APPEND              1
2022-11-23T01:32:29.7494573Z              134 LIST_TO_TUPLE
2022-11-23T01:32:29.7494672Z              136 CALL_FUNCTION_EX         0
2022-11-23T01:32:29.7494765Z              138 STORE_FAST               4 (out2)
2022-11-23T01:32:29.7494770Z 
2022-11-23T01:32:29.7494874Z 4303         140 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7494995Z              142 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:29.7495087Z              144 BUILD_LIST               0
2022-11-23T01:32:29.7495092Z 
2022-11-23T01:32:29.7495200Z 4304         146 LOAD_FAST                1 (rank3_inps)
2022-11-23T01:32:29.7495205Z 
2022-11-23T01:32:29.7495298Z 4303         148 LIST_EXTEND              1
2022-11-23T01:32:29.7495303Z 
2022-11-23T01:32:29.7495400Z 4305         150 LOAD_DEREF               0 (C)
2022-11-23T01:32:29.7495492Z              152 BUILD_LIST               1
2022-11-23T01:32:29.7495496Z 
2022-11-23T01:32:29.7495589Z 4303         154 LIST_APPEND              1
2022-11-23T01:32:29.7495593Z 
2022-11-23T01:32:29.7495681Z 4306         156 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7495774Z              158 BUILD_LIST               1
2022-11-23T01:32:29.7495779Z 
2022-11-23T01:32:29.7495872Z 4303         160 LIST_APPEND              1
2022-11-23T01:32:29.7495877Z 
2022-11-23T01:32:29.7495971Z 4307         162 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7496068Z              164 BUILD_LIST               1
2022-11-23T01:32:29.7496073Z 
2022-11-23T01:32:29.7496166Z 4303         166 LIST_APPEND              1
2022-11-23T01:32:29.7496171Z 
2022-11-23T01:32:29.7496265Z 4308         168 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7496357Z              170 BUILD_LIST               1
2022-11-23T01:32:29.7496362Z 
2022-11-23T01:32:29.7496447Z 4303         172 LIST_APPEND              1
2022-11-23T01:32:29.7496459Z 
2022-11-23T01:32:29.7496552Z 4309         174 LOAD_CONST               3 (False)
2022-11-23T01:32:29.7496557Z 
2022-11-23T01:32:29.7496650Z 4303         176 LIST_APPEND              1
2022-11-23T01:32:29.7496655Z 
2022-11-23T01:32:29.7496753Z 4310         178 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7496846Z              180 BUILD_LIST               1
2022-11-23T01:32:29.7496851Z 
2022-11-23T01:32:29.7496943Z 4303         182 LIST_APPEND              1
2022-11-23T01:32:29.7496950Z 
2022-11-23T01:32:29.7497044Z 4311         184 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7497049Z 
2022-11-23T01:32:29.7497142Z 4303         186 LIST_APPEND              1
2022-11-23T01:32:29.7497146Z 
2022-11-23T01:32:29.7497239Z 4312         188 BUILD_LIST               0
2022-11-23T01:32:29.7497355Z              190 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:29.7497440Z              192 LIST_EXTEND              1
2022-11-23T01:32:29.7497445Z 
2022-11-23T01:32:29.7497538Z 4303         194 LIST_APPEND              1
2022-11-23T01:32:29.7497621Z              196 LIST_TO_TUPLE
2022-11-23T01:32:29.7497717Z              198 CALL_FUNCTION_EX         0
2022-11-23T01:32:29.7497820Z              200 STORE_FAST               5 (out3)
2022-11-23T01:32:29.7497826Z 
2022-11-23T01:32:29.7497962Z 4314         202 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7498082Z              204 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:29.7498174Z              206 BUILD_LIST               0
2022-11-23T01:32:29.7498203Z 
2022-11-23T01:32:29.7498304Z 4315         208 LOAD_FAST                2 (rank5_inps)
2022-11-23T01:32:29.7498309Z 
2022-11-23T01:32:29.7498403Z 4314         210 LIST_EXTEND              1
2022-11-23T01:32:29.7498407Z 
2022-11-23T01:32:29.7498504Z 4316         212 LOAD_DEREF               0 (C)
2022-11-23T01:32:29.7498598Z              214 BUILD_LIST               1
2022-11-23T01:32:29.7498602Z 
2022-11-23T01:32:29.7498696Z 4314         216 LIST_APPEND              1
2022-11-23T01:32:29.7498701Z 
2022-11-23T01:32:29.7499032Z 4317         218 BUILD_LIST               0
2022-11-23T01:32:29.7499140Z              220 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:29.7499232Z              222 LIST_EXTEND              1
2022-11-23T01:32:29.7499236Z 
2022-11-23T01:32:29.7499333Z 4314         224 LIST_APPEND              1
2022-11-23T01:32:29.7499338Z 
2022-11-23T01:32:29.7499421Z 4318         226 BUILD_LIST               0
2022-11-23T01:32:29.7499530Z              228 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:29.7499621Z              230 LIST_EXTEND              1
2022-11-23T01:32:29.7499626Z 
2022-11-23T01:32:29.7499719Z 4314         232 LIST_APPEND              1
2022-11-23T01:32:29.7499723Z 
2022-11-23T01:32:29.7499813Z 4319         234 BUILD_LIST               0
2022-11-23T01:32:29.7499916Z              236 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:29.7500008Z              238 LIST_EXTEND              1
2022-11-23T01:32:29.7500013Z 
2022-11-23T01:32:29.7500107Z 4314         240 LIST_APPEND              1
2022-11-23T01:32:29.7500112Z 
2022-11-23T01:32:29.7500203Z 4320         242 LOAD_CONST               3 (False)
2022-11-23T01:32:29.7500216Z 
2022-11-23T01:32:29.7500302Z 4314         244 LIST_APPEND              1
2022-11-23T01:32:29.7500310Z 
2022-11-23T01:32:29.7500401Z 4321         246 BUILD_LIST               0
2022-11-23T01:32:29.7500502Z              248 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:29.7500597Z              250 LIST_EXTEND              1
2022-11-23T01:32:29.7500602Z 
2022-11-23T01:32:29.7500696Z 4314         252 LIST_APPEND              1
2022-11-23T01:32:29.7500701Z 
2022-11-23T01:32:29.7500797Z 4322         254 LOAD_CONST               1 (1)
2022-11-23T01:32:29.7500801Z 
2022-11-23T01:32:29.7500893Z 4314         256 LIST_APPEND              1
2022-11-23T01:32:29.7500898Z 
2022-11-23T01:32:29.7500989Z 4323         258 BUILD_LIST               0
2022-11-23T01:32:29.7501096Z              260 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:29.7501190Z              262 LIST_EXTEND              1
2022-11-23T01:32:29.7501195Z 
2022-11-23T01:32:29.7501287Z 4314         264 LIST_APPEND              1
2022-11-23T01:32:29.7501371Z              266 LIST_TO_TUPLE
2022-11-23T01:32:29.7501471Z              268 CALL_FUNCTION_EX         0
2022-11-23T01:32:29.7501572Z              270 STORE_FAST               6 (out4)
2022-11-23T01:32:29.7501577Z 
2022-11-23T01:32:29.7501673Z 4325         272 LOAD_FAST                3 (out1)
2022-11-23T01:32:29.7501774Z              274 LOAD_FAST                4 (out2)
2022-11-23T01:32:29.7501861Z              276 LOAD_FAST                5 (out3)
2022-11-23T01:32:29.7501955Z              278 LOAD_FAST                6 (out4)
2022-11-23T01:32:29.7502057Z              280 BUILD_TUPLE              4
2022-11-23T01:32:29.7502160Z              282 RETURN_VALUE
2022-11-23T01:32:29.7502229Z  
2022-11-23T01:32:29.7502235Z 
2022-11-23T01:32:29.7502582Z [2022-11-23 01:22:58,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7502803Z [2022-11-23 01:22:58,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7503180Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7503455Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:29.7503803Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282
2022-11-23T01:32:29.7504119Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7504434Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7504769Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7505074Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283
2022-11-23T01:32:29.7505375Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7505712Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7506014Z [2022-11-23 01:22:58,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7506336Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7506642Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284
2022-11-23T01:32:29.7506938Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7507259Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7507623Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7507926Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7508254Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7508555Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285
2022-11-23T01:32:29.7508852Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7509185Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7509553Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7509858Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7510220Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7510656Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286
2022-11-23T01:32:29.7511027Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7511527Z [2022-11-23 01:22:58,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7511899Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7512231Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7512584Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7512891Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287
2022-11-23T01:32:29.7513199Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7513500Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7513839Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7514148Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288
2022-11-23T01:32:29.7514441Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7514770Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7515130Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7515425Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7515753Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7516062Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289
2022-11-23T01:32:29.7516366Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7516672Z [2022-11-23 01:22:58,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7517007Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7517311Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290
2022-11-23T01:32:29.7517633Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7517983Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7518380Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7518684Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:29.7518996Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7519310Z [2022-11-23 01:22:58,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7519625Z [2022-11-23 01:22:58,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:29.7519875Z [2022-11-23 01:22:58,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T01:32:29.7520184Z [2022-11-23 01:22:58,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7520406Z [2022-11-23 01:22:58,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7520736Z [2022-11-23 01:22:58,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7521015Z [2022-11-23 01:22:58,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:29.7521332Z [2022-11-23 01:22:58,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293
2022-11-23T01:32:29.7521689Z [2022-11-23 01:22:58,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7521995Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7522317Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7522620Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294
2022-11-23T01:32:29.7522924Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7523262Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7523570Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7523899Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7524209Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295
2022-11-23T01:32:29.7524506Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7524872Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7525280Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7525589Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7525914Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7526207Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296
2022-11-23T01:32:29.7526503Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7526831Z [2022-11-23 01:22:58,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7527198Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7527502Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7527821Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7528131Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297
2022-11-23T01:32:29.7528425Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7528759Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7529121Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7529423Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7529749Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7530051Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298
2022-11-23T01:32:29.7530360Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7530672Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7531016Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7531323Z [2022-11-23 01:22:58,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299
2022-11-23T01:32:29.7531651Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7531980Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7532366Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7532675Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7532994Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7533295Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300
2022-11-23T01:32:29.7533598Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7533897Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7534239Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7534546Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301
2022-11-23T01:32:29.7534846Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7535200Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7535568Z [2022-11-23 01:22:58,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7535876Z [2022-11-23 01:22:58,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:29.7536200Z [2022-11-23 01:22:58,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7536504Z [2022-11-23 01:22:58,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7536817Z [2022-11-23 01:22:58,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:29.7537065Z [2022-11-23 01:22:58,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T01:32:29.7537361Z [2022-11-23 01:22:58,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7537581Z [2022-11-23 01:22:58,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7537909Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7538186Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:29.7538497Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304
2022-11-23T01:32:29.7539073Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7539390Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7539749Z [2022-11-23 01:22:58,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7540057Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305
2022-11-23T01:32:29.7540358Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7540697Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7540996Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7541327Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7541632Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306
2022-11-23T01:32:29.7541933Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7542267Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7542575Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7542899Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7543211Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307
2022-11-23T01:32:29.7543508Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7543845Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7544150Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7544477Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7544780Z [2022-11-23 01:22:58,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308
2022-11-23T01:32:29.7545077Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7545414Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7545720Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7546084Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7546393Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309
2022-11-23T01:32:29.7546726Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7547032Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7547375Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7547682Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310
2022-11-23T01:32:29.7547982Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7548307Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7548615Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7548937Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7549241Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311
2022-11-23T01:32:29.7549542Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7549841Z [2022-11-23 01:22:58,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7550177Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7550577Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312
2022-11-23T01:32:29.7550878Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7551219Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7551579Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7551881Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:29.7552192Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7552497Z [2022-11-23 01:22:58,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7552803Z [2022-11-23 01:22:58,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:29.7553079Z [2022-11-23 01:22:58,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T01:32:29.7553381Z [2022-11-23 01:22:58,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7553622Z [2022-11-23 01:22:58,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7553946Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7554218Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:29.7554521Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315
2022-11-23T01:32:29.7554831Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7555136Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7555452Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7555750Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316
2022-11-23T01:32:29.7556044Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7556371Z [2022-11-23 01:22:58,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7556675Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7556996Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7557296Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317
2022-11-23T01:32:29.7557589Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7557912Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7558276Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7558575Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7558899Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7559189Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318
2022-11-23T01:32:29.7559479Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7559797Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7560177Z [2022-11-23 01:22:58,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7560478Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7560822Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7561124Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319
2022-11-23T01:32:29.7561420Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7561747Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7562107Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7562415Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7562725Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7563028Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320
2022-11-23T01:32:29.7563334Z [2022-11-23 01:22:58,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7563641Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7563979Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7564289Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321
2022-11-23T01:32:29.7564588Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7564914Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7565279Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7565588Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7565916Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7566222Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322
2022-11-23T01:32:29.7566513Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7566817Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7567180Z [2022-11-23 01:22:58,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7567490Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323
2022-11-23T01:32:29.7567857Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7568205Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7568568Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.7568879Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:29.7569204Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7569517Z [2022-11-23 01:22:58,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:29.7569831Z [2022-11-23 01:22:58,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:29.7570076Z [2022-11-23 01:22:58,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T01:32:29.7570376Z [2022-11-23 01:22:58,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325
2022-11-23T01:32:29.7570596Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T01:32:29.7570842Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T01:32:29.7571114Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.7571409Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.7571733Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:29.7571984Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7572364Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279>
2022-11-23T01:32:29.7572611Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7572850Z [2022-11-23 01:22:58,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7573103Z [2022-11-23 01:22:58,353] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7573363Z [2022-11-23 01:22:58,364] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7573556Z [2022-11-23 01:22:58,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7573697Z  __compiled_fn_59 <eval_with_key>.378 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7573795Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T01:32:29.7573893Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T01:32:29.7573986Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T01:32:29.7574109Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T01:32:29.7574196Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T01:32:29.7574289Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T01:32:29.7574381Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T01:32:29.7574501Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T01:32:29.7574596Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T01:32:29.7574804Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:29.7575026Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T01:32:29.7575237Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T01:32:29.7575452Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T01:32:29.7575663Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T01:32:29.7575883Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T01:32:29.7576086Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T01:32:29.7576304Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T01:32:29.7576527Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T01:32:29.7576741Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T01:32:29.7576946Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:29.7577157Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T01:32:29.7577369Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T01:32:29.7577589Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T01:32:29.7577796Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T01:32:29.7577802Z 
2022-11-23T01:32:29.7578134Z [2022-11-23 01:22:58,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7578236Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7578335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7578430Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7578529Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7578613Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7578712Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7578912Z              12 RETURN_VALUE
2022-11-23T01:32:29.7578918Z 
2022-11-23T01:32:29.7578985Z  
2022-11-23T01:32:29.7579316Z [2022-11-23 01:22:58,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7579436Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_59)
2022-11-23T01:32:29.7579535Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7579631Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7579708Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7579803Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7579885Z              10 BINARY_SUBSCR
2022-11-23T01:32:29.7579980Z              12 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7580074Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7580155Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7580294Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7580370Z              20 BINARY_SUBSCR
2022-11-23T01:32:29.7580467Z              22 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7580591Z              24 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7580673Z              26 BINARY_SUBSCR
2022-11-23T01:32:29.7580766Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7580848Z              30 BINARY_SUBSCR
2022-11-23T01:32:29.7580945Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7581030Z              34 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7581111Z              36 BINARY_SUBSCR
2022-11-23T01:32:29.7581204Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7581286Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7581380Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7581474Z              44 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7581560Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7581649Z              48 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7581733Z              50 BINARY_SUBSCR
2022-11-23T01:32:29.7581828Z              52 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7581925Z              54 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7582007Z              56 BINARY_SUBSCR
2022-11-23T01:32:29.7582100Z              58 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7582182Z              60 BINARY_SUBSCR
2022-11-23T01:32:29.7582270Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7582364Z              64 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7582445Z              66 BINARY_SUBSCR
2022-11-23T01:32:29.7582539Z              68 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7582621Z              70 BINARY_SUBSCR
2022-11-23T01:32:29.7582716Z              72 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7582809Z              74 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7582886Z              76 BINARY_SUBSCR
2022-11-23T01:32:29.7582982Z              78 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7583064Z              80 BINARY_SUBSCR
2022-11-23T01:32:29.7583160Z              82 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7583255Z              84 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7583337Z              86 BINARY_SUBSCR
2022-11-23T01:32:29.7583430Z              88 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7583504Z              90 BINARY_SUBSCR
2022-11-23T01:32:29.7583600Z              92 CALL_FUNCTION            9
2022-11-23T01:32:29.7583713Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7583850Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:29.7583955Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:29.7584051Z             100 CALL_FUNCTION            0
2022-11-23T01:32:29.7584155Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:29.7584261Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7584356Z             106 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7584438Z             108 BINARY_SUBSCR
2022-11-23T01:32:29.7584551Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7584644Z             112 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7584730Z             114 BINARY_SUBSCR
2022-11-23T01:32:29.7584838Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7584924Z             118 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7585006Z             120 BINARY_SUBSCR
2022-11-23T01:32:29.7585101Z             122 BUILD_TUPLE              3
2022-11-23T01:32:29.7585210Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7585304Z             126 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7585387Z             128 BINARY_SUBSCR
2022-11-23T01:32:29.7585515Z             130 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7585615Z             132 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7585703Z             134 BUILD_TUPLE              3
2022-11-23T01:32:29.7585811Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7585931Z             138 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7586012Z             140 BINARY_SUBSCR
2022-11-23T01:32:29.7586119Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7586213Z             144 LOAD_CONST               6 (5)
2022-11-23T01:32:29.7586294Z             146 BINARY_SUBSCR
2022-11-23T01:32:29.7586393Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7586490Z             150 LOAD_CONST               7 (6)
2022-11-23T01:32:29.7586573Z             152 BINARY_SUBSCR
2022-11-23T01:32:29.7586666Z             154 BUILD_TUPLE              3
2022-11-23T01:32:29.7586772Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7586870Z             158 LOAD_CONST               8 (7)
2022-11-23T01:32:29.7586951Z             160 BINARY_SUBSCR
2022-11-23T01:32:29.7587051Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7587147Z             164 LOAD_CONST               9 (8)
2022-11-23T01:32:29.7587228Z             166 BINARY_SUBSCR
2022-11-23T01:32:29.7587336Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7587429Z             170 LOAD_CONST              10 (9)
2022-11-23T01:32:29.7587509Z             172 BINARY_SUBSCR
2022-11-23T01:32:29.7587605Z             174 BUILD_TUPLE              3
2022-11-23T01:32:29.7587691Z             176 BUILD_TUPLE              4
2022-11-23T01:32:29.7587795Z             178 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7587901Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:29.7587995Z             182 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7588077Z             184 BINARY_SUBSCR
2022-11-23T01:32:29.7588189Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:29.7588288Z             188 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7588387Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:29.7588484Z             192 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7588566Z             194 BINARY_SUBSCR
2022-11-23T01:32:29.7588675Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:29.7588756Z             198 RETURN_VALUE
2022-11-23T01:32:29.7588762Z 
2022-11-23T01:32:29.7588830Z  
2022-11-23T01:32:29.7589029Z [2022-11-23 01:22:58,367] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7589099Z  - 
2022-11-23T01:32:29.7589225Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7589295Z             {
2022-11-23T01:32:29.7589443Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7589635Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.7589765Z                 'obj_weakref': None
2022-11-23T01:32:29.7589993Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7590063Z             }
2022-11-23T01:32:29.7590128Z             
2022-11-23T01:32:29.7590204Z  - 
2022-11-23T01:32:29.7590416Z             local 'ex[0]' LIST_LENGTH
2022-11-23T01:32:29.7590503Z             {
2022-11-23T01:32:29.7590650Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7590848Z                 'code': ['___check_type_id(ex[0], 94768292482624)', 'len(ex[0]) == 3'],
2022-11-23T01:32:29.7590964Z                 'obj_weakref': None
2022-11-23T01:32:29.7591188Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:29.7591259Z             }
2022-11-23T01:32:29.7591327Z             
2022-11-23T01:32:29.7591406Z  - 
2022-11-23T01:32:29.7591534Z             local 'ex[1]' LIST_LENGTH
2022-11-23T01:32:29.7591603Z             {
2022-11-23T01:32:29.7591785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7591980Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3'],
2022-11-23T01:32:29.7592133Z                 'obj_weakref': None
2022-11-23T01:32:29.7592350Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:29.7592419Z             }
2022-11-23T01:32:29.7592489Z             
2022-11-23T01:32:29.7592564Z  - 
2022-11-23T01:32:29.7592682Z             local 'ex[2]' LIST_LENGTH
2022-11-23T01:32:29.7592751Z             {
2022-11-23T01:32:29.7592891Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7593080Z                 'code': ['___check_type_id(ex[2], 94768292482624)', 'len(ex[2]) == 3'],
2022-11-23T01:32:29.7593203Z                 'obj_weakref': None
2022-11-23T01:32:29.7593428Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:29.7593496Z             }
2022-11-23T01:32:29.7593559Z             
2022-11-23T01:32:29.7593635Z  - 
2022-11-23T01:32:29.7593772Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7593840Z             {
2022-11-23T01:32:29.7593984Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7594156Z                 'code': ['___check_obj_id(model, 139780074452976)'],
2022-11-23T01:32:29.7594277Z                 'obj_weakref': None
2022-11-23T01:32:29.7594497Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7594568Z             }
2022-11-23T01:32:29.7594635Z             
2022-11-23T01:32:29.7594709Z  - 
2022-11-23T01:32:29.7594837Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7594908Z             {
2022-11-23T01:32:29.7595055Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7595270Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7595395Z                 'obj_weakref': None
2022-11-23T01:32:29.7595618Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7595687Z             }
2022-11-23T01:32:29.7595758Z             
2022-11-23T01:32:29.7595833Z  - 
2022-11-23T01:32:29.7595966Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T01:32:29.7596027Z             {
2022-11-23T01:32:29.7596172Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7596284Z                 'code': None,
2022-11-23T01:32:29.7596495Z                 'obj_weakref': <weakref at 0x7f20606e4f40; to 'Tensor' at 0x7f206070d8f0>
2022-11-23T01:32:29.7596746Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7596817Z             }
2022-11-23T01:32:29.7596890Z             
2022-11-23T01:32:29.7596958Z  - 
2022-11-23T01:32:29.7597090Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T01:32:29.7597159Z             {
2022-11-23T01:32:29.7597306Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7597418Z                 'code': None,
2022-11-23T01:32:29.7597621Z                 'obj_weakref': <weakref at 0x7f2060154f90; to 'Tensor' at 0x7f206070e0c0>
2022-11-23T01:32:29.7597866Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7597936Z             }
2022-11-23T01:32:29.7597998Z             
2022-11-23T01:32:29.7598075Z  - 
2022-11-23T01:32:29.7598206Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T01:32:29.7598275Z             {
2022-11-23T01:32:29.7598423Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7598534Z                 'code': None,
2022-11-23T01:32:29.7598729Z                 'obj_weakref': <weakref at 0x7f2060154b30; to 'Tensor' at 0x7f206070fce0>
2022-11-23T01:32:29.7598966Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7599071Z             }
2022-11-23T01:32:29.7599142Z             
2022-11-23T01:32:29.7599220Z  - 
2022-11-23T01:32:29.7599355Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T01:32:29.7599453Z             {
2022-11-23T01:32:29.7599591Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7599703Z                 'code': None,
2022-11-23T01:32:29.7599906Z                 'obj_weakref': <weakref at 0x7f2060154c70; to 'Tensor' at 0x7f2068053600>
2022-11-23T01:32:29.7600140Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7600210Z             }
2022-11-23T01:32:29.7600278Z             
2022-11-23T01:32:29.7600353Z  - 
2022-11-23T01:32:29.7600476Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T01:32:29.7600545Z             {
2022-11-23T01:32:29.7600688Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7600799Z                 'code': None,
2022-11-23T01:32:29.7601011Z                 'obj_weakref': <weakref at 0x7f2060154ef0; to 'Tensor' at 0x7f20680519e0>
2022-11-23T01:32:29.7601246Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7601318Z             }
2022-11-23T01:32:29.7601387Z             
2022-11-23T01:32:29.7601455Z  - 
2022-11-23T01:32:29.7601584Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T01:32:29.7601652Z             {
2022-11-23T01:32:29.7601796Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7601907Z                 'code': None,
2022-11-23T01:32:29.7602112Z                 'obj_weakref': <weakref at 0x7f20601550d0; to 'Tensor' at 0x7f20680b11c0>
2022-11-23T01:32:29.7602358Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7602420Z             }
2022-11-23T01:32:29.7602487Z             
2022-11-23T01:32:29.7602565Z  - 
2022-11-23T01:32:29.7602697Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T01:32:29.7602766Z             {
2022-11-23T01:32:29.7602911Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7603022Z                 'code': None,
2022-11-23T01:32:29.7603220Z                 'obj_weakref': <weakref at 0x7f20601554e0; to 'Tensor' at 0x7f2068207ba0>
2022-11-23T01:32:29.7603461Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7603529Z             }
2022-11-23T01:32:29.7603597Z             
2022-11-23T01:32:29.7603672Z  - 
2022-11-23T01:32:29.7603805Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T01:32:29.7603875Z             {
2022-11-23T01:32:29.7604010Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7604122Z                 'code': None,
2022-11-23T01:32:29.7604322Z                 'obj_weakref': <weakref at 0x7f2060155710; to 'Tensor' at 0x7f2072846200>
2022-11-23T01:32:29.7604564Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7604634Z             }
2022-11-23T01:32:29.7604702Z             
2022-11-23T01:32:29.7604778Z  - 
2022-11-23T01:32:29.7604905Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T01:32:29.7604975Z             {
2022-11-23T01:32:29.7605117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7605227Z                 'code': None,
2022-11-23T01:32:29.7605427Z                 'obj_weakref': <weakref at 0x7f2060155990; to 'Tensor' at 0x7f2115dc6250>
2022-11-23T01:32:29.7605665Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7605736Z             }
2022-11-23T01:32:29.7605798Z             
2022-11-23T01:32:29.7605873Z  - 
2022-11-23T01:32:29.7606059Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:29.7606128Z             {
2022-11-23T01:32:29.7606306Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7606587Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292480384)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T01:32:29.7606738Z                 'obj_weakref': None
2022-11-23T01:32:29.7606952Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7607024Z             }
2022-11-23T01:32:29.7607093Z             
2022-11-23T01:32:29.7607168Z  - 
2022-11-23T01:32:29.7607303Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7607371Z             {
2022-11-23T01:32:29.7607498Z                 'guard_types': None,
2022-11-23T01:32:29.7607602Z                 'code': None,
2022-11-23T01:32:29.7607726Z                 'obj_weakref': None
2022-11-23T01:32:29.7607851Z                 'guarded_class': None
2022-11-23T01:32:29.7607920Z             }
2022-11-23T01:32:29.7607989Z             
2022-11-23T01:32:29.7608251Z [2022-11-23 01:22:58,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58
2022-11-23T01:32:29.7608606Z [2022-11-23 01:22:58,411] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hs/chs543c3oofucoelwxa563unr3uj4qsbw6nizj3vkyurwknoirio.py
2022-11-23T01:32:29.7608865Z [2022-11-23 01:22:58,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58
2022-11-23T01:32:29.7609163Z [2022-11-23 01:22:58,433] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py
2022-11-23T01:32:29.7609169Z 
2022-11-23T01:32:29.7609270Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7609345Z import torch
2022-11-23T01:32:29.7609421Z import random
2022-11-23T01:32:29.7609544Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7609670Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7609675Z 
2022-11-23T01:32:29.7609759Z aten = torch.ops.aten
2022-11-23T01:32:29.7609895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7609993Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7609998Z 
2022-11-23T01:32:29.7610074Z import triton
2022-11-23T01:32:29.7610172Z import triton.language as tl
2022-11-23T01:32:29.7610299Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7610441Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7610447Z 
2022-11-23T01:32:29.7610451Z 
2022-11-23T01:32:29.7610546Z async_compile.wait(globals())
2022-11-23T01:32:29.7610626Z del async_compile
2022-11-23T01:32:29.7610631Z 
2022-11-23T01:32:29.7610699Z def call(args):
2022-11-23T01:32:29.7610833Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T01:32:29.7610910Z     args.clear()
2022-11-23T01:32:29.7611081Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:29.7611158Z     buf1 = buf0[0]
2022-11-23T01:32:29.7611272Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:29.7611346Z     buf2 = buf0[1]
2022-11-23T01:32:29.7611457Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:29.7611526Z     buf3 = buf0[2]
2022-11-23T01:32:29.7611628Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T01:32:29.7611698Z     del buf0
2022-11-23T01:32:29.7611870Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T01:32:29.7611944Z     del arg0_1
2022-11-23T01:32:29.7612023Z     del arg1_1
2022-11-23T01:32:29.7612095Z     del arg2_1
2022-11-23T01:32:29.7612161Z     buf5 = buf4[0]
2022-11-23T01:32:29.7612275Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:29.7612345Z     del buf4
2022-11-23T01:32:29.7612510Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T01:32:29.7612614Z     del arg3_1
2022-11-23T01:32:29.7612687Z     del arg4_1
2022-11-23T01:32:29.7612759Z     del arg5_1
2022-11-23T01:32:29.7612826Z     buf7 = buf6[0]
2022-11-23T01:32:29.7612962Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:29.7613035Z     buf8 = buf6[1]
2022-11-23T01:32:29.7613146Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:29.7613221Z     buf9 = buf6[2]
2022-11-23T01:32:29.7613320Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T01:32:29.7613392Z     del buf6
2022-11-23T01:32:29.7613560Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T01:32:29.7613633Z     del arg6_1
2022-11-23T01:32:29.7613704Z     del arg7_1
2022-11-23T01:32:29.7613776Z     del arg8_1
2022-11-23T01:32:29.7613851Z     buf11 = buf10[0]
2022-11-23T01:32:29.7613970Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T01:32:29.7614051Z     buf12 = buf10[1]
2022-11-23T01:32:29.7614160Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T01:32:29.7614236Z     buf13 = buf10[2]
2022-11-23T01:32:29.7614341Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T01:32:29.7614417Z     del buf10
2022-11-23T01:32:29.7614552Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T01:32:29.7614557Z 
2022-11-23T01:32:29.7614562Z 
2022-11-23T01:32:29.7614644Z if __name__ == "__main__":
2022-11-23T01:32:29.7614764Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7614885Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7615104Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7615316Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7615525Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7615731Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7615939Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7616142Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7616358Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7616580Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7616789Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7616959Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T01:32:29.7616964Z 
2022-11-23T01:32:29.7617037Z ok (0.156s)
2022-11-23T01:32:29.7617205Z   test_conv_bn_fuse_cpu (__main__.CpuTests) ... skip: only support cpu conv  bn test (0.001s)
2022-11-23T01:32:29.7617519Z   test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:58,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7617836Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7618058Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7618303Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:29.7618569Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:29.7619062Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7619442Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7619781Z [2022-11-23 01:22:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7620155Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:29.7620256Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:29.7620351Z               2 BUILD_TUPLE              1
2022-11-23T01:32:29.7620435Z               4 RETURN_VALUE
2022-11-23T01:32:29.7620500Z  
2022-11-23T01:32:29.7620505Z 
2022-11-23T01:32:29.7620820Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:29.7621024Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.7621266Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.7621518Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7621895Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:29.7622140Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7622375Z [2022-11-23 01:22:58,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7622632Z [2022-11-23 01:22:58,450] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7622881Z [2022-11-23 01:22:58,455] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7623072Z [2022-11-23 01:22:58,456] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7623216Z  __compiled_fn_60 <eval_with_key>.384 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7623303Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7623409Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:29.7623518Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:29.7623624Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:29.7623629Z 
2022-11-23T01:32:29.7623949Z [2022-11-23 01:22:58,456] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7624051Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7624148Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7624237Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7624339Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7624430Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7624528Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7624610Z              12 RETURN_VALUE
2022-11-23T01:32:29.7624615Z 
2022-11-23T01:32:29.7624682Z  
2022-11-23T01:32:29.7625005Z [2022-11-23 01:22:58,456] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7625122Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_60)
2022-11-23T01:32:29.7625210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7625309Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7625391Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7625485Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7625626Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7625737Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7625832Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7625933Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7626025Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.7626107Z              20 RETURN_VALUE
2022-11-23T01:32:29.7626112Z 
2022-11-23T01:32:29.7626178Z  
2022-11-23T01:32:29.7626366Z [2022-11-23 01:22:58,457] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7626441Z  - 
2022-11-23T01:32:29.7626566Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7626628Z             {
2022-11-23T01:32:29.7626772Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7626960Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7627084Z                 'obj_weakref': None
2022-11-23T01:32:29.7627312Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7627384Z             }
2022-11-23T01:32:29.7627451Z             
2022-11-23T01:32:29.7627519Z  - 
2022-11-23T01:32:29.7627648Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7627720Z             {
2022-11-23T01:32:29.7627866Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7627979Z                 'code': None,
2022-11-23T01:32:29.7628189Z                 'obj_weakref': <weakref at 0x7f20601258f0; to 'Tensor' at 0x7f20606e44a0>
2022-11-23T01:32:29.7628438Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7628507Z             }
2022-11-23T01:32:29.7628569Z             
2022-11-23T01:32:29.7628646Z  - 
2022-11-23T01:32:29.7628770Z             local 'model' NN_MODULE
2022-11-23T01:32:29.7628839Z             {
2022-11-23T01:32:29.7628977Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7629154Z                 'code': ['___check_obj_id(model, 139777163700320)'],
2022-11-23T01:32:29.7629364Z                 'obj_weakref': <weakref at 0x7f2060126d40; to 'Sequential' at 0x7f206830a860>
2022-11-23T01:32:29.7629603Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:29.7629672Z             }
2022-11-23T01:32:29.7629740Z             
2022-11-23T01:32:29.7629817Z  - 
2022-11-23T01:32:29.7629943Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7630013Z             {
2022-11-23T01:32:29.7630145Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7630448Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7630595Z                 'obj_weakref': None
2022-11-23T01:32:29.7630817Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7630885Z             }
2022-11-23T01:32:29.7630954Z             
2022-11-23T01:32:29.7631033Z  - 
2022-11-23T01:32:29.7631181Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:29.7631243Z             {
2022-11-23T01:32:29.7631367Z                 'guard_types': None,
2022-11-23T01:32:29.7631480Z                 'code': None,
2022-11-23T01:32:29.7631601Z                 'obj_weakref': None
2022-11-23T01:32:29.7631727Z                 'guarded_class': None
2022-11-23T01:32:29.7631797Z             }
2022-11-23T01:32:29.7631857Z             
2022-11-23T01:32:29.7631933Z  - 
2022-11-23T01:32:29.7632080Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:29.7632149Z             {
2022-11-23T01:32:29.7632272Z                 'guard_types': None,
2022-11-23T01:32:29.7632382Z                 'code': None,
2022-11-23T01:32:29.7632503Z                 'obj_weakref': None
2022-11-23T01:32:29.7632620Z                 'guarded_class': None
2022-11-23T01:32:29.7632688Z             }
2022-11-23T01:32:29.7632757Z             
2022-11-23T01:32:29.7632833Z  - 
2022-11-23T01:32:29.7633017Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:29.7633087Z             {
2022-11-23T01:32:29.7633210Z                 'guard_types': None,
2022-11-23T01:32:29.7633338Z                 'code': None,
2022-11-23T01:32:29.7633460Z                 'obj_weakref': None
2022-11-23T01:32:29.7633585Z                 'guarded_class': None
2022-11-23T01:32:29.7633654Z             }
2022-11-23T01:32:29.7633722Z             
2022-11-23T01:32:29.7633982Z [2022-11-23 01:22:58,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59
2022-11-23T01:32:29.7634345Z [2022-11-23 01:23:00,051] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjrlv4slif6ckcaugotz5srciprczo4bjv6blzwc2vb7bp5zzhjk.py
2022-11-23T01:32:29.7634598Z [2022-11-23 01:23:00,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59
2022-11-23T01:32:29.7634612Z 
2022-11-23T01:32:29.7634704Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7634783Z import torch
2022-11-23T01:32:29.7634858Z import random
2022-11-23T01:32:29.7634982Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7635107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7635115Z 
2022-11-23T01:32:29.7635198Z aten = torch.ops.aten
2022-11-23T01:32:29.7635337Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7635428Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7635433Z 
2022-11-23T01:32:29.7635507Z import triton
2022-11-23T01:32:29.7635599Z import triton.language as tl
2022-11-23T01:32:29.7635727Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7635870Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7635875Z 
2022-11-23T01:32:29.7635880Z 
2022-11-23T01:32:29.7636017Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7636230Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7636355Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.7636452Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:29.7636521Z {
2022-11-23T01:32:29.7636624Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7636691Z     {
2022-11-23T01:32:29.7636775Z         #pragma omp for 
2022-11-23T01:32:29.7636867Z         for(long i0=0; i0<2352; i0+=1)
2022-11-23T01:32:29.7636935Z         {
2022-11-23T01:32:29.7636996Z             {
2022-11-23T01:32:29.7637065Z                 {
2022-11-23T01:32:29.7637169Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:29.7637272Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:29.7637384Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:29.7637482Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:32:29.7637577Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.7637661Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.7637734Z                 }
2022-11-23T01:32:29.7637803Z             }
2022-11-23T01:32:29.7637872Z         }
2022-11-23T01:32:29.7637940Z     }
2022-11-23T01:32:29.7638004Z }
2022-11-23T01:32:29.7638085Z ''')
2022-11-23T01:32:29.7638091Z 
2022-11-23T01:32:29.7638102Z 
2022-11-23T01:32:29.7638189Z async_compile.wait(globals())
2022-11-23T01:32:29.7638265Z del async_compile
2022-11-23T01:32:29.7638270Z 
2022-11-23T01:32:29.7638345Z def call(args):
2022-11-23T01:32:29.7638452Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:29.7638528Z     args.clear()
2022-11-23T01:32:29.7638687Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:29.7638804Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:29.7638873Z     del primals_2
2022-11-23T01:32:29.7639001Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T01:32:29.7639260Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.7639403Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.7639515Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T01:32:29.7639546Z 
2022-11-23T01:32:29.7639551Z 
2022-11-23T01:32:29.7639636Z if __name__ == "__main__":
2022-11-23T01:32:29.7639755Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7639882Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7640091Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7640293Z     primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7640516Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7640660Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:29.7640665Z 
2022-11-23T01:32:29.7640740Z ok (1.623s)
2022-11-23T01:32:29.7641056Z   test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:00,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7641371Z [2022-11-23 01:23:00,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7641592Z [2022-11-23 01:23:00,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7641849Z [2022-11-23 01:23:00,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7642121Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7642440Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7642790Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7643106Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7643481Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825> 
2022-11-23T01:32:29.7643585Z  1827           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7643699Z                2 LOAD_METHOD              1 (convolution)
2022-11-23T01:32:29.7643796Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7643892Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:29.7643979Z                8 LOAD_FAST                2 (b)
2022-11-23T01:32:29.7644077Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:29.7644171Z               12 BUILD_LIST               1
2022-11-23T01:32:29.7644264Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7644357Z               16 BUILD_LIST               1
2022-11-23T01:32:29.7644454Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:29.7644546Z               20 BUILD_LIST               1
2022-11-23T01:32:29.7644638Z               22 LOAD_CONST               4 (True)
2022-11-23T01:32:29.7644731Z               24 LOAD_CONST               2 (0)
2022-11-23T01:32:29.7644823Z               26 BUILD_LIST               1
2022-11-23T01:32:29.7644916Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:29.7645010Z               30 CALL_METHOD              9
2022-11-23T01:32:29.7645103Z               32 BUILD_TUPLE              1
2022-11-23T01:32:29.7645185Z               34 RETURN_VALUE
2022-11-23T01:32:29.7645244Z  
2022-11-23T01:32:29.7645258Z 
2022-11-23T01:32:29.7645595Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1827
2022-11-23T01:32:29.7645814Z [2022-11-23 01:23:00,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7646149Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7646411Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)]
2022-11-23T01:32:29.7646700Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:29.7647012Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7647356Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7647729Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7648095Z [2022-11-23 01:23:00,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.7648488Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7648868Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7649281Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7649697Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:29.7650138Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.7650618Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:29.7651083Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:29.7651588Z [2022-11-23 01:23:00,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7651832Z [2022-11-23 01:23:00,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.7652079Z [2022-11-23 01:23:00,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7652476Z [2022-11-23 01:23:00,072] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825>
2022-11-23T01:32:29.7652723Z [2022-11-23 01:23:00,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7652982Z [2022-11-23 01:23:00,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7653237Z [2022-11-23 01:23:00,073] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7653487Z [2022-11-23 01:23:00,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7653671Z [2022-11-23 01:23:00,077] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7653814Z  __compiled_fn_61 <eval_with_key>.395 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7653909Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7654002Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7654095Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.7654259Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {}
2022-11-23T01:32:29.7654379Z output, output, output, ((convolution,),), {}
2022-11-23T01:32:29.7654384Z 
2022-11-23T01:32:29.7654710Z [2022-11-23 01:23:00,077] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7654811Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7654901Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7654995Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7655096Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7655189Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7655284Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7655366Z              12 RETURN_VALUE
2022-11-23T01:32:29.7655372Z 
2022-11-23T01:32:29.7655441Z  
2022-11-23T01:32:29.7655755Z [2022-11-23 01:23:00,077] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7655875Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_61)
2022-11-23T01:32:29.7655973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7656070Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7656154Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7656248Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7656343Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7656418Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7656512Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7656606Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7656687Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.7656782Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.7656896Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7657006Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7657094Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7657179Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7657273Z              30 BUILD_TUPLE              1
2022-11-23T01:32:29.7657354Z              32 RETURN_VALUE
2022-11-23T01:32:29.7657360Z 
2022-11-23T01:32:29.7657426Z  
2022-11-23T01:32:29.7657615Z [2022-11-23 01:23:00,078] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7657690Z  - 
2022-11-23T01:32:29.7657815Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7657877Z             {
2022-11-23T01:32:29.7658023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7658216Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.7658339Z                 'obj_weakref': None
2022-11-23T01:32:29.7658595Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7658666Z             }
2022-11-23T01:32:29.7658736Z             
2022-11-23T01:32:29.7659096Z  - 
2022-11-23T01:32:29.7659278Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7659348Z             {
2022-11-23T01:32:29.7659499Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7659613Z                 'code': None,
2022-11-23T01:32:29.7659826Z                 'obj_weakref': <weakref at 0x7f206017bc90; to 'Tensor' at 0x7f2115af48b0>
2022-11-23T01:32:29.7660075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7660137Z             }
2022-11-23T01:32:29.7660206Z             
2022-11-23T01:32:29.7660281Z  - 
2022-11-23T01:32:29.7660408Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7660476Z             {
2022-11-23T01:32:29.7660622Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7660738Z                 'code': None,
2022-11-23T01:32:29.7660934Z                 'obj_weakref': <weakref at 0x7f2060184540; to 'Tensor' at 0x7f20606e5b20>
2022-11-23T01:32:29.7661181Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7661254Z             }
2022-11-23T01:32:29.7661325Z             
2022-11-23T01:32:29.7661401Z  - 
2022-11-23T01:32:29.7661527Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.7661595Z             {
2022-11-23T01:32:29.7661732Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7661842Z                 'code': None,
2022-11-23T01:32:29.7662043Z                 'obj_weakref': <weakref at 0x7f2060186e30; to 'Tensor' at 0x7f2060734540>
2022-11-23T01:32:29.7662284Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7662354Z             }
2022-11-23T01:32:29.7662422Z             
2022-11-23T01:32:29.7662500Z  - 
2022-11-23T01:32:29.7662629Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7662697Z             {
2022-11-23T01:32:29.7662836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7663015Z                 'code': ['___check_obj_id(model, 139780078829088)'],
2022-11-23T01:32:29.7663138Z                 'obj_weakref': None
2022-11-23T01:32:29.7663364Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7663432Z             }
2022-11-23T01:32:29.7663493Z             
2022-11-23T01:32:29.7663567Z  - 
2022-11-23T01:32:29.7663694Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7663763Z             {
2022-11-23T01:32:29.7663903Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7664124Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7664248Z                 'obj_weakref': None
2022-11-23T01:32:29.7664466Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7664535Z             }
2022-11-23T01:32:29.7664603Z             
2022-11-23T01:32:29.7664681Z  - 
2022-11-23T01:32:29.7664817Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7664886Z             {
2022-11-23T01:32:29.7665009Z                 'guard_types': None,
2022-11-23T01:32:29.7665113Z                 'code': None,
2022-11-23T01:32:29.7665234Z                 'obj_weakref': None
2022-11-23T01:32:29.7665359Z                 'guarded_class': None
2022-11-23T01:32:29.7665429Z             }
2022-11-23T01:32:29.7665497Z             
2022-11-23T01:32:29.7665755Z [2022-11-23 01:23:00,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60
2022-11-23T01:32:29.7666116Z [2022-11-23 01:23:00,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b7/cb7f55acuizejfeuubkdiaq7szwjaxgg6ajpwwvpc5ekkxl2dwpt.py
2022-11-23T01:32:29.7666411Z [2022-11-23 01:23:00,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60
2022-11-23T01:32:29.7666425Z 
2022-11-23T01:32:29.7666518Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7666613Z import torch
2022-11-23T01:32:29.7666688Z import random
2022-11-23T01:32:29.7666808Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7666937Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7666942Z 
2022-11-23T01:32:29.7667025Z aten = torch.ops.aten
2022-11-23T01:32:29.7667165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7667256Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7667261Z 
2022-11-23T01:32:29.7667335Z import triton
2022-11-23T01:32:29.7667428Z import triton.language as tl
2022-11-23T01:32:29.7667554Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7667698Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7667707Z 
2022-11-23T01:32:29.7667711Z 
2022-11-23T01:32:29.7667803Z async_compile.wait(globals())
2022-11-23T01:32:29.7667880Z del async_compile
2022-11-23T01:32:29.7667885Z 
2022-11-23T01:32:29.7667969Z def call(args):
2022-11-23T01:32:29.7668049Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.7668127Z     args.clear()
2022-11-23T01:32:29.7668265Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1)
2022-11-23T01:32:29.7668378Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2022-11-23T01:32:29.7668454Z     del arg0_1
2022-11-23T01:32:29.7668528Z     del arg1_1
2022-11-23T01:32:29.7668600Z     del arg2_1
2022-11-23T01:32:29.7668669Z     return (buf0, )
2022-11-23T01:32:29.7668674Z 
2022-11-23T01:32:29.7668679Z 
2022-11-23T01:32:29.7668760Z if __name__ == "__main__":
2022-11-23T01:32:29.7668878Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7669007Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7669225Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7669435Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7669633Z     arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7669763Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.7669769Z 
2022-11-23T01:32:29.7669833Z ok (0.029s)
2022-11-23T01:32:29.7670131Z   test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:23:00,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7670548Z [2022-11-23 01:23:00,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7670797Z [2022-11-23 01:23:00,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7671082Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7671358Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7671677Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7672015Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7672332Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7672703Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134> 
2022-11-23T01:32:29.7672871Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7672975Z                2 LOAD_METHOD              1 (cos)
2022-11-23T01:32:29.7673074Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7673195Z                6 CALL_METHOD              1
2022-11-23T01:32:29.7673290Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:29.7673369Z               10 BINARY_ADD
2022-11-23T01:32:29.7673471Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7673562Z               14 LOAD_METHOD              1 (cos)
2022-11-23T01:32:29.7673659Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:29.7673754Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7673833Z               20 BINARY_ADD
2022-11-23T01:32:29.7673929Z               22 CALL_METHOD              1
2022-11-23T01:32:29.7674026Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.7674108Z               26 RETURN_VALUE
2022-11-23T01:32:29.7674169Z  
2022-11-23T01:32:29.7674175Z 
2022-11-23T01:32:29.7674486Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135
2022-11-23T01:32:29.7674712Z [2022-11-23 01:23:00,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7675018Z [2022-11-23 01:23:00,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7675272Z [2022-11-23 01:23:00,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T01:32:29.7675558Z [2022-11-23 01:23:00,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:29.7675799Z [2022-11-23 01:23:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.7676083Z [2022-11-23 01:23:00,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7676332Z [2022-11-23 01:23:00,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7676660Z [2022-11-23 01:23:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7676923Z [2022-11-23 01:23:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:29.7677223Z [2022-11-23 01:23:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:29.7677567Z [2022-11-23 01:23:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7677872Z [2022-11-23 01:23:00,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:29.7678138Z [2022-11-23 01:23:00,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7678391Z [2022-11-23 01:23:00,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7678769Z [2022-11-23 01:23:00,106] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134>
2022-11-23T01:32:29.7679017Z [2022-11-23 01:23:00,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7679255Z [2022-11-23 01:23:00,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7679541Z [2022-11-23 01:23:00,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7679788Z [2022-11-23 01:23:00,111] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7679982Z [2022-11-23 01:23:00,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7680147Z  __compiled_fn_62 <eval_with_key>.401 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7680242Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7680348Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T01:32:29.7680524Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T01:32:29.7680705Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.7680813Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T01:32:29.7680913Z output, output, output, ((add, cos_1),), {}
2022-11-23T01:32:29.7680919Z 
2022-11-23T01:32:29.7681254Z [2022-11-23 01:23:00,111] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7681356Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7681453Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7681545Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7681649Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7681743Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7681837Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7681912Z              12 RETURN_VALUE
2022-11-23T01:32:29.7681917Z 
2022-11-23T01:32:29.7681984Z  
2022-11-23T01:32:29.7682310Z [2022-11-23 01:23:00,111] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7682426Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_62)
2022-11-23T01:32:29.7682522Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7682618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7682704Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7682790Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7682903Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7683015Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7683111Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7683192Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7683297Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7683392Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7683473Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7683559Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.7683640Z              26 RETURN_VALUE
2022-11-23T01:32:29.7683645Z 
2022-11-23T01:32:29.7683713Z  
2022-11-23T01:32:29.7683902Z [2022-11-23 01:23:00,112] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7683977Z  - 
2022-11-23T01:32:29.7684105Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7684175Z             {
2022-11-23T01:32:29.7684313Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7684505Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.7684634Z                 'obj_weakref': None
2022-11-23T01:32:29.7684858Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7684930Z             }
2022-11-23T01:32:29.7684999Z             
2022-11-23T01:32:29.7685075Z  - 
2022-11-23T01:32:29.7685196Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7685265Z             {
2022-11-23T01:32:29.7685411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7685523Z                 'code': None,
2022-11-23T01:32:29.7685733Z                 'obj_weakref': <weakref at 0x7f2060155940; to 'Tensor' at 0x7f20607952b0>
2022-11-23T01:32:29.7686027Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7686100Z             }
2022-11-23T01:32:29.7686162Z             
2022-11-23T01:32:29.7686238Z  - 
2022-11-23T01:32:29.7686377Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7686472Z             {
2022-11-23T01:32:29.7686611Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7686785Z                 'code': ['___check_obj_id(model, 139780074957712)'],
2022-11-23T01:32:29.7686908Z                 'obj_weakref': None
2022-11-23T01:32:29.7687130Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7687200Z             }
2022-11-23T01:32:29.7687267Z             
2022-11-23T01:32:29.7687342Z  - 
2022-11-23T01:32:29.7687469Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7687538Z             {
2022-11-23T01:32:29.7687679Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7687892Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7688015Z                 'obj_weakref': None
2022-11-23T01:32:29.7688239Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7688312Z             }
2022-11-23T01:32:29.7688381Z             
2022-11-23T01:32:29.7688455Z  - 
2022-11-23T01:32:29.7688590Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7688651Z             {
2022-11-23T01:32:29.7688776Z                 'guard_types': None,
2022-11-23T01:32:29.7688886Z                 'code': None,
2022-11-23T01:32:29.7689010Z                 'obj_weakref': None
2022-11-23T01:32:29.7689136Z                 'guarded_class': None
2022-11-23T01:32:29.7689204Z             }
2022-11-23T01:32:29.7689265Z             
2022-11-23T01:32:29.7689522Z [2022-11-23 01:23:00,119] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61
2022-11-23T01:32:29.7689880Z [2022-11-23 01:23:01,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q6/cq6cu4ut2qyf4a4frqzn2qcbuyfhnr5hen3fxxugw76lblodes6q.py
2022-11-23T01:32:29.7690141Z [2022-11-23 01:23:01,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61
2022-11-23T01:32:29.7690153Z 
2022-11-23T01:32:29.7690251Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7690327Z import torch
2022-11-23T01:32:29.7690400Z import random
2022-11-23T01:32:29.7690520Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7690639Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7690652Z 
2022-11-23T01:32:29.7690728Z aten = torch.ops.aten
2022-11-23T01:32:29.7690869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7690966Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7690971Z 
2022-11-23T01:32:29.7691046Z import triton
2022-11-23T01:32:29.7691138Z import triton.language as tl
2022-11-23T01:32:29.7691269Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7691437Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7691443Z 
2022-11-23T01:32:29.7691448Z 
2022-11-23T01:32:29.7691614Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7691815Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7691940Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7692048Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7692153Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.7692219Z {
2022-11-23T01:32:29.7692322Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7692389Z     {
2022-11-23T01:32:29.7692464Z         #pragma omp for 
2022-11-23T01:32:29.7692555Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.7692622Z         {
2022-11-23T01:32:29.7692792Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.7692915Z             auto tmp1 = tmp0.cos();
2022-11-23T01:32:29.7693056Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.7693145Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.7693299Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.7693390Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:29.7693480Z             auto tmp6 = tmp5.cos();
2022-11-23T01:32:29.7693577Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.7693673Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.7693741Z         }
2022-11-23T01:32:29.7693841Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.7693923Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.7693991Z         {
2022-11-23T01:32:29.7694080Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7694175Z             auto tmp1 = std::cos(tmp0);
2022-11-23T01:32:29.7694282Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:29.7694372Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.7694479Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:29.7694561Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:29.7694659Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:32:29.7694746Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.7694831Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:29.7694899Z         }
2022-11-23T01:32:29.7694965Z     }
2022-11-23T01:32:29.7695034Z }
2022-11-23T01:32:29.7695114Z ''')
2022-11-23T01:32:29.7695120Z 
2022-11-23T01:32:29.7695125Z 
2022-11-23T01:32:29.7695218Z async_compile.wait(globals())
2022-11-23T01:32:29.7695296Z del async_compile
2022-11-23T01:32:29.7695301Z 
2022-11-23T01:32:29.7695375Z def call(args):
2022-11-23T01:32:29.7695449Z     arg0_1, = args
2022-11-23T01:32:29.7695524Z     args.clear()
2022-11-23T01:32:29.7695730Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7695924Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7696096Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.7696173Z     del arg0_1
2022-11-23T01:32:29.7696254Z     return (buf0, buf1, )
2022-11-23T01:32:29.7696259Z 
2022-11-23T01:32:29.7696264Z 
2022-11-23T01:32:29.7696347Z if __name__ == "__main__":
2022-11-23T01:32:29.7696467Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7696596Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7696796Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7696902Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7696914Z 
2022-11-23T01:32:29.7696979Z ok (1.690s)
2022-11-23T01:32:29.7697121Z   test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.003s)
2022-11-23T01:32:29.7697339Z   test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s)
2022-11-23T01:32:29.7697641Z   test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:01,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7697959Z [2022-11-23 01:23:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7698179Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7698434Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7698712Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7699218Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7699597Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7699945Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7700313Z [2022-11-23 01:23:01,786] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061> 
2022-11-23T01:32:29.7700415Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7700513Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7700609Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7700705Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7700808Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7700970Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7701069Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7701075Z 
2022-11-23T01:32:29.7701173Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7701275Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7701371Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7701464Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7701625Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7701817Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7701916Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7701922Z 
2022-11-23T01:32:29.7702022Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7702117Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7702214Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7702312Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7702459Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7702623Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7702723Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7702729Z 
2022-11-23T01:32:29.7702816Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7702912Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7703000Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7703006Z 
2022-11-23T01:32:29.7703101Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7703193Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7703285Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7703290Z 
2022-11-23T01:32:29.7703386Z 1062          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7703467Z               56 RETURN_VALUE
2022-11-23T01:32:29.7703525Z  
2022-11-23T01:32:29.7703530Z 
2022-11-23T01:32:29.7703847Z [2022-11-23 01:23:01,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063
2022-11-23T01:32:29.7704066Z [2022-11-23 01:23:01,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7704368Z [2022-11-23 01:23:01,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7704615Z [2022-11-23 01:23:01,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7704889Z [2022-11-23 01:23:01,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7705199Z [2022-11-23 01:23:01,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7705595Z [2022-11-23 01:23:01,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7705998Z [2022-11-23 01:23:01,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7706327Z [2022-11-23 01:23:01,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064
2022-11-23T01:32:29.7706567Z [2022-11-23 01:23:01,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7706894Z [2022-11-23 01:23:01,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7707172Z [2022-11-23 01:23:01,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7707469Z [2022-11-23 01:23:01,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7707811Z [2022-11-23 01:23:01,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7708201Z [2022-11-23 01:23:01,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7708619Z [2022-11-23 01:23:01,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7708934Z [2022-11-23 01:23:01,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065
2022-11-23T01:32:29.7709208Z [2022-11-23 01:23:01,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7709568Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7709871Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7710199Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7710656Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7711103Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7711552Z [2022-11-23 01:23:01,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7711898Z [2022-11-23 01:23:01,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066
2022-11-23T01:32:29.7712211Z [2022-11-23 01:23:01,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7712529Z [2022-11-23 01:23:01,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7712920Z [2022-11-23 01:23:01,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7713249Z [2022-11-23 01:23:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067
2022-11-23T01:32:29.7713556Z [2022-11-23 01:23:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7713891Z [2022-11-23 01:23:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7714275Z [2022-11-23 01:23:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7714584Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062
2022-11-23T01:32:29.7714926Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7715168Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7715536Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061>
2022-11-23T01:32:29.7715780Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7716015Z [2022-11-23 01:23:01,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7716269Z [2022-11-23 01:23:01,825] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7716522Z [2022-11-23 01:23:01,837] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7716717Z [2022-11-23 01:23:01,837] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7716857Z  __compiled_fn_63 <eval_with_key>.407 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7716952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7717037Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7717225Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7717419Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7717607Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7717800Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7717998Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7718140Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7718149Z 
2022-11-23T01:32:29.7718476Z [2022-11-23 01:23:01,838] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7718569Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7718667Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7718760Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7718859Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7718950Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7719044Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7719126Z              12 RETURN_VALUE
2022-11-23T01:32:29.7719131Z 
2022-11-23T01:32:29.7719196Z  
2022-11-23T01:32:29.7719541Z [2022-11-23 01:23:01,838] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7719658Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_63)
2022-11-23T01:32:29.7719777Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7719873Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7719956Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7720050Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7720147Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7720221Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7720315Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7720427Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7720536Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7720634Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7720716Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7720827Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7720914Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7720997Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7721109Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7721203Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7721285Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7721392Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7721485Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7721566Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7721665Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7721757Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7721846Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7721957Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7722051Z              50 RETURN_VALUE
2022-11-23T01:32:29.7722058Z 
2022-11-23T01:32:29.7722138Z  
2022-11-23T01:32:29.7722331Z [2022-11-23 01:23:01,839] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7722400Z  - 
2022-11-23T01:32:29.7722528Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7722597Z             {
2022-11-23T01:32:29.7722746Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7722938Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7723063Z                 'obj_weakref': None
2022-11-23T01:32:29.7723292Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7723354Z             }
2022-11-23T01:32:29.7723423Z             
2022-11-23T01:32:29.7723499Z  - 
2022-11-23T01:32:29.7723628Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7723698Z             {
2022-11-23T01:32:29.7723847Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7723964Z                 'code': None,
2022-11-23T01:32:29.7724168Z                 'obj_weakref': <weakref at 0x7f2060156f20; to 'Tensor' at 0x7f2151ecf9c0>
2022-11-23T01:32:29.7724419Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7724493Z             }
2022-11-23T01:32:29.7724561Z             
2022-11-23T01:32:29.7724636Z  - 
2022-11-23T01:32:29.7724765Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7724833Z             {
2022-11-23T01:32:29.7724973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7725086Z                 'code': None,
2022-11-23T01:32:29.7725291Z                 'obj_weakref': <weakref at 0x7f2060155760; to 'Tensor' at 0x7f2151ecfa10>
2022-11-23T01:32:29.7725532Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7725601Z             }
2022-11-23T01:32:29.7725669Z             
2022-11-23T01:32:29.7725773Z  - 
2022-11-23T01:32:29.7725901Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7725970Z             {
2022-11-23T01:32:29.7726111Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7726309Z                 'code': ['___check_obj_id(model, 139780074957712)'],
2022-11-23T01:32:29.7726431Z                 'obj_weakref': None
2022-11-23T01:32:29.7726660Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7726729Z             }
2022-11-23T01:32:29.7726790Z             
2022-11-23T01:32:29.7726866Z  - 
2022-11-23T01:32:29.7726990Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7727059Z             {
2022-11-23T01:32:29.7727199Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7727418Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7727541Z                 'obj_weakref': None
2022-11-23T01:32:29.7727758Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7727827Z             }
2022-11-23T01:32:29.7727894Z             
2022-11-23T01:32:29.7727973Z  - 
2022-11-23T01:32:29.7728111Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7728183Z             {
2022-11-23T01:32:29.7728305Z                 'guard_types': None,
2022-11-23T01:32:29.7728408Z                 'code': None,
2022-11-23T01:32:29.7728534Z                 'obj_weakref': None
2022-11-23T01:32:29.7728660Z                 'guarded_class': None
2022-11-23T01:32:29.7728728Z             }
2022-11-23T01:32:29.7728796Z             
2022-11-23T01:32:29.7729055Z [2022-11-23 01:23:01,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62
2022-11-23T01:32:29.7729416Z [2022-11-23 01:23:03,514] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pw/cpwz7sbhze6cg4xcgjlxvzco3uovf65mlak2iucyhfzoli6mme7h.py
2022-11-23T01:32:29.7729673Z [2022-11-23 01:23:03,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62
2022-11-23T01:32:29.7729686Z 
2022-11-23T01:32:29.7729779Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7729857Z import torch
2022-11-23T01:32:29.7729931Z import random
2022-11-23T01:32:29.7730052Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7730180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7730186Z 
2022-11-23T01:32:29.7730270Z aten = torch.ops.aten
2022-11-23T01:32:29.7730410Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7730500Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7730505Z 
2022-11-23T01:32:29.7730581Z import triton
2022-11-23T01:32:29.7730675Z import triton.language as tl
2022-11-23T01:32:29.7730802Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7730944Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7730949Z 
2022-11-23T01:32:29.7730957Z 
2022-11-23T01:32:29.7731094Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7731304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7731432Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.7731537Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.7731646Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7731751Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.7731855Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.7731956Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7732057Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:29.7732123Z {
2022-11-23T01:32:29.7732218Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7732285Z     {
2022-11-23T01:32:29.7732366Z         #pragma omp for 
2022-11-23T01:32:29.7732503Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.7732574Z         {
2022-11-23T01:32:29.7732717Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.7732879Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.7732963Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.7733056Z             auto tmp3 = tmp2.floor();
2022-11-23T01:32:29.7733146Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:32:29.7733242Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.7733341Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.7733437Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.7733531Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:32:29.7733617Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:32:29.7733689Z         }
2022-11-23T01:32:29.7733788Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.7733877Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.7733947Z         {
2022-11-23T01:32:29.7734037Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7734127Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.7734208Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.7734310Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:29.7734408Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:29.7734496Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.7734580Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.7734666Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.7734749Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:29.7734825Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:29.7734893Z         }
2022-11-23T01:32:29.7734960Z     }
2022-11-23T01:32:29.7735026Z }
2022-11-23T01:32:29.7735114Z ''')
2022-11-23T01:32:29.7735120Z 
2022-11-23T01:32:29.7735125Z 
2022-11-23T01:32:29.7735219Z async_compile.wait(globals())
2022-11-23T01:32:29.7735296Z del async_compile
2022-11-23T01:32:29.7735301Z 
2022-11-23T01:32:29.7735371Z def call(args):
2022-11-23T01:32:29.7735454Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7735531Z     args.clear()
2022-11-23T01:32:29.7735732Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7735931Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7736124Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7736316Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7736503Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7736757Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7736832Z     del arg0_1
2022-11-23T01:32:29.7736908Z     del arg1_1
2022-11-23T01:32:29.7737013Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7737018Z 
2022-11-23T01:32:29.7737023Z 
2022-11-23T01:32:29.7737106Z if __name__ == "__main__":
2022-11-23T01:32:29.7737225Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7737358Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7737554Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7737742Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7737865Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7737870Z 
2022-11-23T01:32:29.7737940Z ok (1.749s)
2022-11-23T01:32:29.7738240Z   test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:03,534] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7738592Z [2022-11-23 01:23:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7739001Z [2022-11-23 01:23:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7739258Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7739578Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7739894Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7740224Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7740544Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7740910Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073> 
2022-11-23T01:32:29.7741017Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7741116Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7741213Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7741308Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7741411Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7741590Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7741693Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7741698Z 
2022-11-23T01:32:29.7741817Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7741916Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7742012Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7742110Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7742257Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7742421Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7742514Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7742528Z 
2022-11-23T01:32:29.7742618Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7742713Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7742809Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7742907Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7743054Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7743216Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7743313Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7743318Z 
2022-11-23T01:32:29.7743404Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7743501Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7743590Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7743595Z 
2022-11-23T01:32:29.7743688Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7743785Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7743875Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7743880Z 
2022-11-23T01:32:29.7743979Z 1074          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7744060Z               56 RETURN_VALUE
2022-11-23T01:32:29.7744119Z  
2022-11-23T01:32:29.7744124Z 
2022-11-23T01:32:29.7744439Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075
2022-11-23T01:32:29.7744659Z [2022-11-23 01:23:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7744995Z [2022-11-23 01:23:03,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7745247Z [2022-11-23 01:23:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7745546Z [2022-11-23 01:23:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7745863Z [2022-11-23 01:23:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7746237Z [2022-11-23 01:23:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7746634Z [2022-11-23 01:23:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7746944Z [2022-11-23 01:23:03,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076
2022-11-23T01:32:29.7747187Z [2022-11-23 01:23:03,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7747510Z [2022-11-23 01:23:03,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7747789Z [2022-11-23 01:23:03,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7748091Z [2022-11-23 01:23:03,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7748429Z [2022-11-23 01:23:03,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7748825Z [2022-11-23 01:23:03,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7749239Z [2022-11-23 01:23:03,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7749542Z [2022-11-23 01:23:03,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077
2022-11-23T01:32:29.7749810Z [2022-11-23 01:23:03,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7750157Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7750563Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7750892Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7751256Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7751687Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7752175Z [2022-11-23 01:23:03,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7752486Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078
2022-11-23T01:32:29.7752802Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7753121Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7753484Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7753798Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079
2022-11-23T01:32:29.7754107Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7754444Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7754830Z [2022-11-23 01:23:03,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7755138Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074
2022-11-23T01:32:29.7755488Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7755746Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7756118Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073>
2022-11-23T01:32:29.7756372Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7756607Z [2022-11-23 01:23:03,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7756865Z [2022-11-23 01:23:03,566] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7757119Z [2022-11-23 01:23:03,575] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7757311Z [2022-11-23 01:23:03,575] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7757456Z  __compiled_fn_64 <eval_with_key>.413 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7757551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7757636Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7757833Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7758032Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7758225Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7758421Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7758618Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7758759Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7758765Z 
2022-11-23T01:32:29.7759091Z [2022-11-23 01:23:03,576] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7759221Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7759313Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7759406Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7759529Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7759620Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7759714Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7759796Z              12 RETURN_VALUE
2022-11-23T01:32:29.7759802Z 
2022-11-23T01:32:29.7759866Z  
2022-11-23T01:32:29.7760188Z [2022-11-23 01:23:03,576] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7760305Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_64)
2022-11-23T01:32:29.7760400Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7760497Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7760582Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7760676Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7760770Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7760852Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7760941Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7761053Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7761165Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7761260Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7761341Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7761448Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7761543Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7761616Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7761723Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7761817Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7761900Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7762006Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7762099Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7762183Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7762281Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7762374Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7762455Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7762548Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7762628Z              50 RETURN_VALUE
2022-11-23T01:32:29.7762634Z 
2022-11-23T01:32:29.7762699Z  
2022-11-23T01:32:29.7762890Z [2022-11-23 01:23:03,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7762958Z  - 
2022-11-23T01:32:29.7763082Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7763151Z             {
2022-11-23T01:32:29.7763296Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7763494Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7763618Z                 'obj_weakref': None
2022-11-23T01:32:29.7763845Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7763909Z             }
2022-11-23T01:32:29.7763977Z             
2022-11-23T01:32:29.7764051Z  - 
2022-11-23T01:32:29.7764179Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7764247Z             {
2022-11-23T01:32:29.7764395Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7764508Z                 'code': None,
2022-11-23T01:32:29.7764707Z                 'obj_weakref': <weakref at 0x7f2060185350; to 'Tensor' at 0x7f2068206520>
2022-11-23T01:32:29.7764956Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7765024Z             }
2022-11-23T01:32:29.7765093Z             
2022-11-23T01:32:29.7765169Z  - 
2022-11-23T01:32:29.7765327Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7765398Z             {
2022-11-23T01:32:29.7765537Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7765669Z                 'code': None,
2022-11-23T01:32:29.7765874Z                 'obj_weakref': <weakref at 0x7f2060185440; to 'Tensor' at 0x7f2151ecfa60>
2022-11-23T01:32:29.7766115Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7766183Z             }
2022-11-23T01:32:29.7766250Z             
2022-11-23T01:32:29.7766325Z  - 
2022-11-23T01:32:29.7766453Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7766522Z             {
2022-11-23T01:32:29.7766661Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7766838Z                 'code': ['___check_obj_id(model, 139780074957712)'],
2022-11-23T01:32:29.7766962Z                 'obj_weakref': None
2022-11-23T01:32:29.7767194Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7767264Z             }
2022-11-23T01:32:29.7767325Z             
2022-11-23T01:32:29.7767400Z  - 
2022-11-23T01:32:29.7767528Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7767596Z             {
2022-11-23T01:32:29.7767737Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7767957Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7768081Z                 'obj_weakref': None
2022-11-23T01:32:29.7768294Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7768365Z             }
2022-11-23T01:32:29.7768432Z             
2022-11-23T01:32:29.7768506Z  - 
2022-11-23T01:32:29.7768644Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7768711Z             {
2022-11-23T01:32:29.7768834Z                 'guard_types': None,
2022-11-23T01:32:29.7768939Z                 'code': None,
2022-11-23T01:32:29.7769063Z                 'obj_weakref': None
2022-11-23T01:32:29.7769188Z                 'guarded_class': None
2022-11-23T01:32:29.7769258Z             }
2022-11-23T01:32:29.7769333Z             
2022-11-23T01:32:29.7769592Z [2022-11-23 01:23:03,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63
2022-11-23T01:32:29.7769957Z [2022-11-23 01:23:05,406] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vx/cvxfqxorepmnicrits2hjkwnvuoswtohiwip44xp4uukdvd7weq7.py
2022-11-23T01:32:29.7770219Z [2022-11-23 01:23:05,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63
2022-11-23T01:32:29.7770225Z 
2022-11-23T01:32:29.7770317Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7770391Z import torch
2022-11-23T01:32:29.7770464Z import random
2022-11-23T01:32:29.7770586Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7770717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7770723Z 
2022-11-23T01:32:29.7770807Z aten = torch.ops.aten
2022-11-23T01:32:29.7770945Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7771040Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7771045Z 
2022-11-23T01:32:29.7771120Z import triton
2022-11-23T01:32:29.7771213Z import triton.language as tl
2022-11-23T01:32:29.7771341Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7771486Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7771491Z 
2022-11-23T01:32:29.7771496Z 
2022-11-23T01:32:29.7771635Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7771844Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7771969Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.7772073Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.7772209Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7772314Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.7772415Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.7772584Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7772684Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:29.7772750Z {
2022-11-23T01:32:29.7772846Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7772915Z     {
2022-11-23T01:32:29.7772997Z         #pragma omp for 
2022-11-23T01:32:29.7773088Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.7773156Z         {
2022-11-23T01:32:29.7773225Z             {
2022-11-23T01:32:29.7773294Z                 {
2022-11-23T01:32:29.7773387Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7773484Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.7773599Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7773697Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:29.7773805Z                     auto tmp4 = std::floor(tmp3);
2022-11-23T01:32:29.7773910Z                     auto tmp5 = std::trunc(tmp3);
2022-11-23T01:32:29.7774004Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.7774086Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:29.7774175Z                     out_ptr2[i0] = tmp5;
2022-11-23T01:32:29.7774264Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:32:29.7774351Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:32:29.7774421Z                 }
2022-11-23T01:32:29.7774489Z             }
2022-11-23T01:32:29.7774557Z         }
2022-11-23T01:32:29.7774616Z     }
2022-11-23T01:32:29.7774681Z }
2022-11-23T01:32:29.7774768Z ''')
2022-11-23T01:32:29.7774773Z 
2022-11-23T01:32:29.7774778Z 
2022-11-23T01:32:29.7774872Z async_compile.wait(globals())
2022-11-23T01:32:29.7774951Z del async_compile
2022-11-23T01:32:29.7774956Z 
2022-11-23T01:32:29.7775034Z def call(args):
2022-11-23T01:32:29.7775116Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7775185Z     args.clear()
2022-11-23T01:32:29.7775382Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7775582Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7775774Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7775963Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7776152Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7776415Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7776490Z     del arg0_1
2022-11-23T01:32:29.7776555Z     del arg1_1
2022-11-23T01:32:29.7776660Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7776666Z 
2022-11-23T01:32:29.7776671Z 
2022-11-23T01:32:29.7776752Z if __name__ == "__main__":
2022-11-23T01:32:29.7776872Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7777003Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7777198Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7777393Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7777513Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7777518Z 
2022-11-23T01:32:29.7777583Z ok (1.890s)
2022-11-23T01:32:29.7777877Z   test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:23:05,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7778190Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7778449Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7778704Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7779122Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7779438Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7779776Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7780095Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7780473Z [2022-11-23 01:23:05,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085> 
2022-11-23T01:32:29.7780575Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7780669Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7780769Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7780865Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7780966Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7781137Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7781235Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7781240Z 
2022-11-23T01:32:29.7781339Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7781428Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7781523Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7781620Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7781769Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7781937Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7782041Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7782046Z 
2022-11-23T01:32:29.7782143Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7782239Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7782327Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7782420Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7782567Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7782731Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7782828Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7782834Z 
2022-11-23T01:32:29.7782928Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7783025Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7783106Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7783119Z 
2022-11-23T01:32:29.7783206Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7783301Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7783392Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7783397Z 
2022-11-23T01:32:29.7783492Z 1086          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7783574Z               56 RETURN_VALUE
2022-11-23T01:32:29.7783639Z  
2022-11-23T01:32:29.7783644Z 
2022-11-23T01:32:29.7783956Z [2022-11-23 01:23:05,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087
2022-11-23T01:32:29.7784172Z [2022-11-23 01:23:05,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7784508Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7784760Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7785064Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7785372Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7785738Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7786129Z [2022-11-23 01:23:05,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7786439Z [2022-11-23 01:23:05,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088
2022-11-23T01:32:29.7786685Z [2022-11-23 01:23:05,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7787017Z [2022-11-23 01:23:05,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7787291Z [2022-11-23 01:23:05,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7787586Z [2022-11-23 01:23:05,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7787915Z [2022-11-23 01:23:05,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7788311Z [2022-11-23 01:23:05,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7788734Z [2022-11-23 01:23:05,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7789051Z [2022-11-23 01:23:05,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089
2022-11-23T01:32:29.7789325Z [2022-11-23 01:23:05,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7789682Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7789990Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7790394Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7790804Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7791226Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7791703Z [2022-11-23 01:23:05,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7792021Z [2022-11-23 01:23:05,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090
2022-11-23T01:32:29.7792343Z [2022-11-23 01:23:05,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7792654Z [2022-11-23 01:23:05,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7793018Z [2022-11-23 01:23:05,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7793333Z [2022-11-23 01:23:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091
2022-11-23T01:32:29.7793650Z [2022-11-23 01:23:05,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7793996Z [2022-11-23 01:23:05,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7794384Z [2022-11-23 01:23:05,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7794692Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086
2022-11-23T01:32:29.7795036Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7795286Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7795657Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085>
2022-11-23T01:32:29.7795907Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7796143Z [2022-11-23 01:23:05,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7796391Z [2022-11-23 01:23:05,459] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7796645Z [2022-11-23 01:23:05,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7796839Z [2022-11-23 01:23:05,467] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7796982Z  __compiled_fn_65 <eval_with_key>.419 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7797078Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7797172Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7797363Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7797561Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7797746Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7797941Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7798136Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7798278Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7798284Z 
2022-11-23T01:32:29.7798609Z [2022-11-23 01:23:05,468] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7798739Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7798840Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7798934Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7799053Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7799146Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7799241Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7799324Z              12 RETURN_VALUE
2022-11-23T01:32:29.7799329Z 
2022-11-23T01:32:29.7799398Z  
2022-11-23T01:32:29.7799724Z [2022-11-23 01:23:05,468] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7799843Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_65)
2022-11-23T01:32:29.7799941Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7800030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7800114Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7800212Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7800309Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7800390Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7800487Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7800600Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7800703Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7800800Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7800882Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7800991Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7801086Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7801168Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7801277Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7801365Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7801449Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7801557Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7801652Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7801737Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7801844Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7801938Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7802012Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7802107Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7802188Z              50 RETURN_VALUE
2022-11-23T01:32:29.7802193Z 
2022-11-23T01:32:29.7802258Z  
2022-11-23T01:32:29.7802448Z [2022-11-23 01:23:05,469] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7802524Z  - 
2022-11-23T01:32:29.7802649Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7802711Z             {
2022-11-23T01:32:29.7802856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7803050Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7803174Z                 'obj_weakref': None
2022-11-23T01:32:29.7803400Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7803473Z             }
2022-11-23T01:32:29.7803541Z             
2022-11-23T01:32:29.7803609Z  - 
2022-11-23T01:32:29.7803741Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7803811Z             {
2022-11-23T01:32:29.7803959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7804072Z                 'code': None,
2022-11-23T01:32:29.7804284Z                 'obj_weakref': <weakref at 0x7f206017b6a0; to 'Tensor' at 0x7f206078a700>
2022-11-23T01:32:29.7804535Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7804597Z             }
2022-11-23T01:32:29.7804666Z             
2022-11-23T01:32:29.7804741Z  - 
2022-11-23T01:32:29.7804897Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7804968Z             {
2022-11-23T01:32:29.7805115Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7805227Z                 'code': None,
2022-11-23T01:32:29.7805451Z                 'obj_weakref': <weakref at 0x7f20601781d0; to 'Tensor' at 0x7f2115dc4950>
2022-11-23T01:32:29.7805701Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7805770Z             }
2022-11-23T01:32:29.7805842Z             
2022-11-23T01:32:29.7805918Z  - 
2022-11-23T01:32:29.7806053Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7806123Z             {
2022-11-23T01:32:29.7806255Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7806429Z                 'code': ['___check_obj_id(model, 139780074957712)'],
2022-11-23T01:32:29.7806553Z                 'obj_weakref': None
2022-11-23T01:32:29.7806786Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7806856Z             }
2022-11-23T01:32:29.7806924Z             
2022-11-23T01:32:29.7806999Z  - 
2022-11-23T01:32:29.7807121Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7807189Z             {
2022-11-23T01:32:29.7807332Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7807556Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7807679Z                 'obj_weakref': None
2022-11-23T01:32:29.7807904Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7807972Z             }
2022-11-23T01:32:29.7808033Z             
2022-11-23T01:32:29.7808108Z  - 
2022-11-23T01:32:29.7808244Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7808312Z             {
2022-11-23T01:32:29.7808436Z                 'guard_types': None,
2022-11-23T01:32:29.7808556Z                 'code': None,
2022-11-23T01:32:29.7808679Z                 'obj_weakref': None
2022-11-23T01:32:29.7808797Z                 'guarded_class': None
2022-11-23T01:32:29.7808866Z             }
2022-11-23T01:32:29.7808938Z             
2022-11-23T01:32:29.7809201Z [2022-11-23 01:23:05,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64
2022-11-23T01:32:29.7809559Z [2022-11-23 01:23:07,499] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jx/cjxobqe7kxdh22d7ph52cdtlo56eix6iqpstth4ncrvgomoj3x5e.py
2022-11-23T01:32:29.7816496Z [2022-11-23 01:23:07,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64
2022-11-23T01:32:29.7816507Z 
2022-11-23T01:32:29.7816622Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7816700Z import torch
2022-11-23T01:32:29.7816770Z import random
2022-11-23T01:32:29.7816896Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7817028Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7817033Z 
2022-11-23T01:32:29.7817116Z aten = torch.ops.aten
2022-11-23T01:32:29.7817258Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7817364Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7817369Z 
2022-11-23T01:32:29.7817444Z import triton
2022-11-23T01:32:29.7817531Z import triton.language as tl
2022-11-23T01:32:29.7817661Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7817804Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7817810Z 
2022-11-23T01:32:29.7817814Z 
2022-11-23T01:32:29.7817968Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7818179Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7818306Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.7818418Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.7818581Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7818683Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.7818788Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.7819100Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7819200Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.7819268Z {
2022-11-23T01:32:29.7819377Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7819446Z     {
2022-11-23T01:32:29.7819524Z         #pragma omp for 
2022-11-23T01:32:29.7819613Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.7819684Z         {
2022-11-23T01:32:29.7819755Z             {
2022-11-23T01:32:29.7819830Z                 {
2022-11-23T01:32:29.7819931Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7820031Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.7820139Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7820256Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:29.7820353Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:29.7820607Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:29.7820709Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:29.7820802Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.7820894Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.7820976Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.7821067Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:29.7821157Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.7821228Z                 }
2022-11-23T01:32:29.7821298Z             }
2022-11-23T01:32:29.7821367Z         }
2022-11-23T01:32:29.7821434Z     }
2022-11-23T01:32:29.7821492Z }
2022-11-23T01:32:29.7821578Z ''')
2022-11-23T01:32:29.7821583Z 
2022-11-23T01:32:29.7821588Z 
2022-11-23T01:32:29.7821686Z async_compile.wait(globals())
2022-11-23T01:32:29.7821764Z del async_compile
2022-11-23T01:32:29.7821769Z 
2022-11-23T01:32:29.7821845Z def call(args):
2022-11-23T01:32:29.7821928Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7822008Z     args.clear()
2022-11-23T01:32:29.7822200Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7822396Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7822588Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7822784Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7822968Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7823232Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7823311Z     del arg0_1
2022-11-23T01:32:29.7823385Z     del arg1_1
2022-11-23T01:32:29.7823481Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7823495Z 
2022-11-23T01:32:29.7823502Z 
2022-11-23T01:32:29.7823577Z if __name__ == "__main__":
2022-11-23T01:32:29.7823700Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7823829Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7824030Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7824223Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7824349Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7824354Z 
2022-11-23T01:32:29.7824427Z ok (2.087s)
2022-11-23T01:32:29.7824726Z   test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7825084Z [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7825336Z [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7825652Z [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7825971Z [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7826339Z [2022-11-23 01:23:07,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7826735Z [2022-11-23 01:23:07,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7827108Z [2022-11-23 01:23:07,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7827540Z [2022-11-23 01:23:07,513] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098> 
2022-11-23T01:32:29.7827649Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7827750Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7827844Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7827943Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7828046Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7828233Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7828336Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7828341Z 
2022-11-23T01:32:29.7828444Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7828550Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7828641Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7828739Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7828902Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7829089Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7829194Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7829199Z 
2022-11-23T01:32:29.7829301Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7829400Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7829497Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7829588Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7829751Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7829933Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7830035Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7830043Z 
2022-11-23T01:32:29.7830139Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7830238Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7830439Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7830445Z 
2022-11-23T01:32:29.7830558Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7830649Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7830741Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7830746Z 
2022-11-23T01:32:29.7830841Z 1099          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7830924Z               56 RETURN_VALUE
2022-11-23T01:32:29.7830991Z  
2022-11-23T01:32:29.7830996Z 
2022-11-23T01:32:29.7831311Z [2022-11-23 01:23:07,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100
2022-11-23T01:32:29.7831530Z [2022-11-23 01:23:07,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7831882Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7832129Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7832430Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7832739Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7833113Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7833509Z [2022-11-23 01:23:07,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7833821Z [2022-11-23 01:23:07,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101
2022-11-23T01:32:29.7834068Z [2022-11-23 01:23:07,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7834391Z [2022-11-23 01:23:07,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7834661Z [2022-11-23 01:23:07,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7834960Z [2022-11-23 01:23:07,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7835295Z [2022-11-23 01:23:07,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7835687Z [2022-11-23 01:23:07,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7836097Z [2022-11-23 01:23:07,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7836410Z [2022-11-23 01:23:07,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102
2022-11-23T01:32:29.7836679Z [2022-11-23 01:23:07,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7837032Z [2022-11-23 01:23:07,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7837330Z [2022-11-23 01:23:07,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7837661Z [2022-11-23 01:23:07,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7838026Z [2022-11-23 01:23:07,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7838445Z [2022-11-23 01:23:07,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7838912Z [2022-11-23 01:23:07,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7839245Z [2022-11-23 01:23:07,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103
2022-11-23T01:32:29.7839537Z [2022-11-23 01:23:07,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7839859Z [2022-11-23 01:23:07,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7840223Z [2022-11-23 01:23:07,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7840532Z [2022-11-23 01:23:07,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104
2022-11-23T01:32:29.7840845Z [2022-11-23 01:23:07,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7841194Z [2022-11-23 01:23:07,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7841587Z [2022-11-23 01:23:07,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7841899Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099
2022-11-23T01:32:29.7842253Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7842504Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7842887Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098>
2022-11-23T01:32:29.7843136Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7843375Z [2022-11-23 01:23:07,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7843634Z [2022-11-23 01:23:07,546] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7843879Z [2022-11-23 01:23:07,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7844075Z [2022-11-23 01:23:07,554] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7844217Z  __compiled_fn_66 <eval_with_key>.425 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7844312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7844406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7844597Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7844792Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7844985Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7845173Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7845370Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7845508Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7845514Z 
2022-11-23T01:32:29.7845867Z [2022-11-23 01:23:07,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7845972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7846073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7846189Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7846290Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7846374Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7846470Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7846551Z              12 RETURN_VALUE
2022-11-23T01:32:29.7846556Z 
2022-11-23T01:32:29.7846621Z  
2022-11-23T01:32:29.7846950Z [2022-11-23 01:23:07,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7847066Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_66)
2022-11-23T01:32:29.7847163Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7847265Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7847340Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7847433Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7847533Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7847616Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7847710Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7847822Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7847932Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7848020Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7848100Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7848210Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7848305Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7848386Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7848496Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7848591Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7848665Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7848771Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7848870Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7848953Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7849059Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7849153Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7849235Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7849321Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7849402Z              50 RETURN_VALUE
2022-11-23T01:32:29.7849407Z 
2022-11-23T01:32:29.7849473Z  
2022-11-23T01:32:29.7849664Z [2022-11-23 01:23:07,556] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7849743Z  - 
2022-11-23T01:32:29.7849870Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7849945Z             {
2022-11-23T01:32:29.7850084Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7850277Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7850405Z                 'obj_weakref': None
2022-11-23T01:32:29.7850632Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7850702Z             }
2022-11-23T01:32:29.7850772Z             
2022-11-23T01:32:29.7850847Z  - 
2022-11-23T01:32:29.7850969Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7851037Z             {
2022-11-23T01:32:29.7851186Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7851302Z                 'code': None,
2022-11-23T01:32:29.7851516Z                 'obj_weakref': <weakref at 0x7f20601858f0; to 'Tensor' at 0x7f2060139df0>
2022-11-23T01:32:29.7851766Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7851865Z             }
2022-11-23T01:32:29.7851936Z             
2022-11-23T01:32:29.7852005Z  - 
2022-11-23T01:32:29.7852133Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7852226Z             {
2022-11-23T01:32:29.7852372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7852484Z                 'code': None,
2022-11-23T01:32:29.7852695Z                 'obj_weakref': <weakref at 0x7f20601c0b30; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.7852941Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7853003Z             }
2022-11-23T01:32:29.7853072Z             
2022-11-23T01:32:29.7853148Z  - 
2022-11-23T01:32:29.7853284Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7853352Z             {
2022-11-23T01:32:29.7853492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7853661Z                 'code': ['___check_obj_id(model, 139777163576080)'],
2022-11-23T01:32:29.7853789Z                 'obj_weakref': None
2022-11-23T01:32:29.7854023Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7854094Z             }
2022-11-23T01:32:29.7854161Z             
2022-11-23T01:32:29.7854237Z  - 
2022-11-23T01:32:29.7854365Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7854426Z             {
2022-11-23T01:32:29.7854568Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7854790Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7854912Z                 'obj_weakref': None
2022-11-23T01:32:29.7855135Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7855203Z             }
2022-11-23T01:32:29.7855271Z             
2022-11-23T01:32:29.7855338Z  - 
2022-11-23T01:32:29.7855475Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7855547Z             {
2022-11-23T01:32:29.7855671Z                 'guard_types': None,
2022-11-23T01:32:29.7855785Z                 'code': None,
2022-11-23T01:32:29.7855908Z                 'obj_weakref': None
2022-11-23T01:32:29.7856040Z                 'guarded_class': None
2022-11-23T01:32:29.7856101Z             }
2022-11-23T01:32:29.7856169Z             
2022-11-23T01:32:29.7856434Z [2022-11-23 01:23:07,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65
2022-11-23T01:32:29.7856796Z [2022-11-23 01:23:07,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jx/cjxobqe7kxdh22d7ph52cdtlo56eix6iqpstth4ncrvgomoj3x5e.py
2022-11-23T01:32:29.7857059Z [2022-11-23 01:23:07,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65
2022-11-23T01:32:29.7857065Z 
2022-11-23T01:32:29.7857163Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7857238Z import torch
2022-11-23T01:32:29.7857313Z import random
2022-11-23T01:32:29.7857430Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7857556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7857561Z 
2022-11-23T01:32:29.7857647Z aten = torch.ops.aten
2022-11-23T01:32:29.7857786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7857884Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7857889Z 
2022-11-23T01:32:29.7857964Z import triton
2022-11-23T01:32:29.7858056Z import triton.language as tl
2022-11-23T01:32:29.7858184Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7858319Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7858324Z 
2022-11-23T01:32:29.7858329Z 
2022-11-23T01:32:29.7858465Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7858677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7858974Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.7859090Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.7859197Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7859341Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.7859443Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.7859538Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7859640Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.7859707Z {
2022-11-23T01:32:29.7859811Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7859877Z     {
2022-11-23T01:32:29.7859960Z         #pragma omp for 
2022-11-23T01:32:29.7860041Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.7860110Z         {
2022-11-23T01:32:29.7860179Z             {
2022-11-23T01:32:29.7860249Z                 {
2022-11-23T01:32:29.7860349Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7860450Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.7860565Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7860671Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:29.7860771Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:29.7861024Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:29.7861119Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:29.7861210Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.7861300Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.7861389Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.7861478Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:29.7861558Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.7861629Z                 }
2022-11-23T01:32:29.7861698Z             }
2022-11-23T01:32:29.7861765Z         }
2022-11-23T01:32:29.7861832Z     }
2022-11-23T01:32:29.7861900Z }
2022-11-23T01:32:29.7861977Z ''')
2022-11-23T01:32:29.7861983Z 
2022-11-23T01:32:29.7861998Z 
2022-11-23T01:32:29.7862086Z async_compile.wait(globals())
2022-11-23T01:32:29.7862162Z del async_compile
2022-11-23T01:32:29.7862171Z 
2022-11-23T01:32:29.7862247Z def call(args):
2022-11-23T01:32:29.7862329Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7862409Z     args.clear()
2022-11-23T01:32:29.7862608Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7862802Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7862985Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7863182Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7863369Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7863634Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7863710Z     del arg0_1
2022-11-23T01:32:29.7863784Z     del arg1_1
2022-11-23T01:32:29.7863889Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7863895Z 
2022-11-23T01:32:29.7863899Z 
2022-11-23T01:32:29.7863980Z if __name__ == "__main__":
2022-11-23T01:32:29.7864094Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7864223Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7864416Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7864607Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7864727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7864732Z 
2022-11-23T01:32:29.7864804Z ok (0.096s)
2022-11-23T01:32:29.7865133Z   test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7865449Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7865692Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7865939Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7866215Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7866536Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7866884Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7867206Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7867585Z [2022-11-23 01:23:07,608] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113> 
2022-11-23T01:32:29.7867686Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7867785Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7867885Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7867974Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7868075Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7868240Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7868339Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7868345Z 
2022-11-23T01:32:29.7868448Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7868544Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7868641Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7868744Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7868884Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7869049Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7869147Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7869153Z 
2022-11-23T01:32:29.7869254Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7869353Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7869448Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7869542Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7869683Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7869852Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7869951Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7869955Z 
2022-11-23T01:32:29.7870050Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7870146Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7870236Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7870241Z 
2022-11-23T01:32:29.7870435Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7870531Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7870615Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7870620Z 
2022-11-23T01:32:29.7870717Z 1114          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7870799Z               56 RETURN_VALUE
2022-11-23T01:32:29.7870865Z  
2022-11-23T01:32:29.7870870Z 
2022-11-23T01:32:29.7871184Z [2022-11-23 01:23:07,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115
2022-11-23T01:32:29.7871439Z [2022-11-23 01:23:07,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7871741Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7872018Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7872295Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7872601Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7872983Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7873393Z [2022-11-23 01:23:07,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7873704Z [2022-11-23 01:23:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116
2022-11-23T01:32:29.7873949Z [2022-11-23 01:23:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7874281Z [2022-11-23 01:23:07,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7874556Z [2022-11-23 01:23:07,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7874861Z [2022-11-23 01:23:07,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7875206Z [2022-11-23 01:23:07,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7875609Z [2022-11-23 01:23:07,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:29.7876033Z [2022-11-23 01:23:07,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7876345Z [2022-11-23 01:23:07,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117
2022-11-23T01:32:29.7876613Z [2022-11-23 01:23:07,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7876968Z [2022-11-23 01:23:07,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7877264Z [2022-11-23 01:23:07,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7877599Z [2022-11-23 01:23:07,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7877971Z [2022-11-23 01:23:07,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7878434Z [2022-11-23 01:23:07,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:29.7878887Z [2022-11-23 01:23:07,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7879223Z [2022-11-23 01:23:07,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118
2022-11-23T01:32:29.7879516Z [2022-11-23 01:23:07,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7879835Z [2022-11-23 01:23:07,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7880207Z [2022-11-23 01:23:07,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7880520Z [2022-11-23 01:23:07,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119
2022-11-23T01:32:29.7880840Z [2022-11-23 01:23:07,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7881177Z [2022-11-23 01:23:07,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7881577Z [2022-11-23 01:23:07,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7881890Z [2022-11-23 01:23:07,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114
2022-11-23T01:32:29.7882238Z [2022-11-23 01:23:07,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7882490Z [2022-11-23 01:23:07,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7882867Z [2022-11-23 01:23:07,639] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113>
2022-11-23T01:32:29.7883115Z [2022-11-23 01:23:07,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7883353Z [2022-11-23 01:23:07,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7883612Z [2022-11-23 01:23:07,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7883864Z [2022-11-23 01:23:07,649] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7884058Z [2022-11-23 01:23:07,649] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7884195Z  __compiled_fn_67 <eval_with_key>.431 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7884290Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7884477Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T01:32:29.7884668Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7884857Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7885049Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T01:32:29.7885242Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T01:32:29.7885381Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7885456Z 
2022-11-23T01:32:29.7885778Z [2022-11-23 01:23:07,649] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7885902Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7885999Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7886093Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7886193Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7886284Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7886379Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7886453Z              12 RETURN_VALUE
2022-11-23T01:32:29.7886466Z 
2022-11-23T01:32:29.7886525Z  
2022-11-23T01:32:29.7886852Z [2022-11-23 01:23:07,650] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7886973Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_67)
2022-11-23T01:32:29.7887074Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7887170Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7887257Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7887352Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.7887455Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7887564Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7887660Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7887741Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.7887850Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7887947Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7888027Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7888127Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7888223Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7888306Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7888414Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7888507Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7888592Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7888698Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7888792Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7888866Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7888958Z              42 BUILD_TUPLE              5
2022-11-23T01:32:29.7889038Z              44 RETURN_VALUE
2022-11-23T01:32:29.7889044Z 
2022-11-23T01:32:29.7889110Z  
2022-11-23T01:32:29.7889299Z [2022-11-23 01:23:07,651] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7889375Z  - 
2022-11-23T01:32:29.7889501Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7889563Z             {
2022-11-23T01:32:29.7889708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7889903Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7890029Z                 'obj_weakref': None
2022-11-23T01:32:29.7890253Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7890325Z             }
2022-11-23T01:32:29.7890394Z             
2022-11-23T01:32:29.7890462Z  - 
2022-11-23T01:32:29.7890592Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7890661Z             {
2022-11-23T01:32:29.7890809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7890921Z                 'code': None,
2022-11-23T01:32:29.7891130Z                 'obj_weakref': <weakref at 0x7f20601843b0; to 'Tensor' at 0x7f2060207bf0>
2022-11-23T01:32:29.7891378Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7891440Z             }
2022-11-23T01:32:29.7891509Z             
2022-11-23T01:32:29.7891617Z  - 
2022-11-23T01:32:29.7891751Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:29.7891818Z             {
2022-11-23T01:32:29.7891963Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.7892182Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 16'],
2022-11-23T01:32:29.7892299Z                 'obj_weakref': None
2022-11-23T01:32:29.7892517Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.7892586Z             }
2022-11-23T01:32:29.7892655Z             
2022-11-23T01:32:29.7892729Z  - 
2022-11-23T01:32:29.7892865Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7892933Z             {
2022-11-23T01:32:29.7893062Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7893237Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.7893360Z                 'obj_weakref': None
2022-11-23T01:32:29.7893591Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7893660Z             }
2022-11-23T01:32:29.7893728Z             
2022-11-23T01:32:29.7893804Z  - 
2022-11-23T01:32:29.7893925Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7893993Z             {
2022-11-23T01:32:29.7894135Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7894355Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7894478Z                 'obj_weakref': None
2022-11-23T01:32:29.7894699Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7894768Z             }
2022-11-23T01:32:29.7894828Z             
2022-11-23T01:32:29.7894905Z  - 
2022-11-23T01:32:29.7895040Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7895108Z             {
2022-11-23T01:32:29.7895232Z                 'guard_types': None,
2022-11-23T01:32:29.7895347Z                 'code': None,
2022-11-23T01:32:29.7895462Z                 'obj_weakref': None
2022-11-23T01:32:29.7895588Z                 'guarded_class': None
2022-11-23T01:32:29.7895656Z             }
2022-11-23T01:32:29.7895727Z             
2022-11-23T01:32:29.7895986Z [2022-11-23 01:23:07,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66
2022-11-23T01:32:29.7896344Z [2022-11-23 01:23:09,358] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpntdznxetq54vz2yj4nlsp5h6l6wv7mxh45clcbuf7xbp6heci.py
2022-11-23T01:32:29.7896604Z [2022-11-23 01:23:09,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66
2022-11-23T01:32:29.7896610Z 
2022-11-23T01:32:29.7896711Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7896779Z import torch
2022-11-23T01:32:29.7896853Z import random
2022-11-23T01:32:29.7896975Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7897104Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7897109Z 
2022-11-23T01:32:29.7897195Z aten = torch.ops.aten
2022-11-23T01:32:29.7897334Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7897434Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7897440Z 
2022-11-23T01:32:29.7897514Z import triton
2022-11-23T01:32:29.7897600Z import triton.language as tl
2022-11-23T01:32:29.7897726Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7897867Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7897872Z 
2022-11-23T01:32:29.7897877Z 
2022-11-23T01:32:29.7898014Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7898223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7898347Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.7898453Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7898586Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.7898680Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.7898783Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7899132Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.7899198Z {
2022-11-23T01:32:29.7899302Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7899369Z     {
2022-11-23T01:32:29.7899452Z         #pragma omp for 
2022-11-23T01:32:29.7899534Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.7899601Z         {
2022-11-23T01:32:29.7899672Z             {
2022-11-23T01:32:29.7899741Z                 {
2022-11-23T01:32:29.7899842Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7899957Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7900062Z                     auto tmp2 = static_cast<float>(16);
2022-11-23T01:32:29.7900159Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:29.7900274Z                     auto tmp4 = static_cast<long>(16);
2022-11-23T01:32:29.7900528Z                     auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4);
2022-11-23T01:32:29.7900629Z                     auto tmp6 = tmp0 / tmp4;
2022-11-23T01:32:29.7900720Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.7900812Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.7900900Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.7900980Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:32:29.7901068Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.7901138Z                 }
2022-11-23T01:32:29.7901206Z             }
2022-11-23T01:32:29.7901275Z         }
2022-11-23T01:32:29.7901343Z     }
2022-11-23T01:32:29.7901401Z }
2022-11-23T01:32:29.7901484Z ''')
2022-11-23T01:32:29.7901490Z 
2022-11-23T01:32:29.7901494Z 
2022-11-23T01:32:29.7901589Z async_compile.wait(globals())
2022-11-23T01:32:29.7901669Z del async_compile
2022-11-23T01:32:29.7901674Z 
2022-11-23T01:32:29.7901750Z def call(args):
2022-11-23T01:32:29.7901823Z     arg0_1, = args
2022-11-23T01:32:29.7901899Z     args.clear()
2022-11-23T01:32:29.7902101Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7902286Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7902477Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7902669Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7902853Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7903094Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7903169Z     del arg0_1
2022-11-23T01:32:29.7903270Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7903278Z 
2022-11-23T01:32:29.7903283Z 
2022-11-23T01:32:29.7903363Z if __name__ == "__main__":
2022-11-23T01:32:29.7903475Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7903609Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7903804Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7903920Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.7903925Z 
2022-11-23T01:32:29.7903996Z ok (1.762s)
2022-11-23T01:32:29.7904292Z   test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7904607Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7904827Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7905124Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7905394Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7905733Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7906073Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7906389Z [2022-11-23 01:23:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7906758Z [2022-11-23 01:23:09,371] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126> 
2022-11-23T01:32:29.7906860Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7906958Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7907060Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7907155Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7907247Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7907412Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7907510Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7907515Z 
2022-11-23T01:32:29.7907614Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7907711Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7907806Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7907902Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7908052Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7908210Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7908309Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7908314Z 
2022-11-23T01:32:29.7908416Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7908512Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7908607Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7908701Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7908847Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7909004Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7909103Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7909108Z 
2022-11-23T01:32:29.7909200Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7909293Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7909382Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7909390Z 
2022-11-23T01:32:29.7909483Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7909574Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7909666Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7909674Z 
2022-11-23T01:32:29.7909762Z 1127          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7909843Z               56 RETURN_VALUE
2022-11-23T01:32:29.7909908Z  
2022-11-23T01:32:29.7909913Z 
2022-11-23T01:32:29.7910225Z [2022-11-23 01:23:09,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128
2022-11-23T01:32:29.7910547Z [2022-11-23 01:23:09,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7910849Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7911129Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7911403Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7911732Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7912107Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7912493Z [2022-11-23 01:23:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7912800Z [2022-11-23 01:23:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129
2022-11-23T01:32:29.7913052Z [2022-11-23 01:23:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7913377Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7913656Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7913958Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7914294Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7914687Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7915104Z [2022-11-23 01:23:09,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7915420Z [2022-11-23 01:23:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130
2022-11-23T01:32:29.7915694Z [2022-11-23 01:23:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7916050Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7916345Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7916674Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7917039Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7917458Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7917901Z [2022-11-23 01:23:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7918241Z [2022-11-23 01:23:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131
2022-11-23T01:32:29.7918537Z [2022-11-23 01:23:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7918880Z [2022-11-23 01:23:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7919243Z [2022-11-23 01:23:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7919558Z [2022-11-23 01:23:09,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132
2022-11-23T01:32:29.7919875Z [2022-11-23 01:23:09,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7920220Z [2022-11-23 01:23:09,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7920615Z [2022-11-23 01:23:09,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7920918Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127
2022-11-23T01:32:29.7921266Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7921514Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7921895Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126>
2022-11-23T01:32:29.7922145Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7922386Z [2022-11-23 01:23:09,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7922642Z [2022-11-23 01:23:09,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7922896Z [2022-11-23 01:23:09,404] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7923088Z [2022-11-23 01:23:09,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7923229Z  __compiled_fn_68 <eval_with_key>.437 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7923316Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7923411Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7923605Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7923805Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7924000Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7924196Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7924396Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7924528Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7924540Z 
2022-11-23T01:32:29.7924861Z [2022-11-23 01:23:09,404] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7924962Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7925062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7925194Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7925297Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7925388Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7925504Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7925579Z              12 RETURN_VALUE
2022-11-23T01:32:29.7925593Z 
2022-11-23T01:32:29.7925652Z  
2022-11-23T01:32:29.7925974Z [2022-11-23 01:23:09,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7926089Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_68)
2022-11-23T01:32:29.7926186Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7926283Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7926365Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7926459Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7926550Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7926638Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7926734Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7926847Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7926959Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7927054Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7927134Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7927234Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7927330Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7927411Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7927518Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7927613Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7927694Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7927799Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7927889Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7927972Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7928079Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7928175Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7928256Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7928348Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7928428Z              50 RETURN_VALUE
2022-11-23T01:32:29.7928433Z 
2022-11-23T01:32:29.7928502Z  
2022-11-23T01:32:29.7928687Z [2022-11-23 01:23:09,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7928762Z  - 
2022-11-23T01:32:29.7928887Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7928958Z             {
2022-11-23T01:32:29.7929106Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7929298Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7929424Z                 'obj_weakref': None
2022-11-23T01:32:29.7929646Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7929717Z             }
2022-11-23T01:32:29.7929785Z             
2022-11-23T01:32:29.7929864Z  - 
2022-11-23T01:32:29.7929993Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7930062Z             {
2022-11-23T01:32:29.7930203Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7930317Z                 'code': None,
2022-11-23T01:32:29.7930529Z                 'obj_weakref': <weakref at 0x7f202333af70; to 'Tensor' at 0x7f20607365c0>
2022-11-23T01:32:29.7930780Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7930850Z             }
2022-11-23T01:32:29.7930922Z             
2022-11-23T01:32:29.7930997Z  - 
2022-11-23T01:32:29.7931124Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7931185Z             {
2022-11-23T01:32:29.7931363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7931477Z                 'code': None,
2022-11-23T01:32:29.7931684Z                 'obj_weakref': <weakref at 0x7f202333a2a0; to 'Tensor' at 0x7f20606e6ac0>
2022-11-23T01:32:29.7931951Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7932021Z             }
2022-11-23T01:32:29.7932089Z             
2022-11-23T01:32:29.7932157Z  - 
2022-11-23T01:32:29.7932292Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7932361Z             {
2022-11-23T01:32:29.7932500Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7932678Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.7932800Z                 'obj_weakref': None
2022-11-23T01:32:29.7933033Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7933095Z             }
2022-11-23T01:32:29.7933165Z             
2022-11-23T01:32:29.7933239Z  - 
2022-11-23T01:32:29.7933367Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7933436Z             {
2022-11-23T01:32:29.7933576Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7933801Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7933917Z                 'obj_weakref': None
2022-11-23T01:32:29.7934141Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7934210Z             }
2022-11-23T01:32:29.7934279Z             
2022-11-23T01:32:29.7934355Z  - 
2022-11-23T01:32:29.7934491Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7934552Z             {
2022-11-23T01:32:29.7934676Z                 'guard_types': None,
2022-11-23T01:32:29.7934789Z                 'code': None,
2022-11-23T01:32:29.7934916Z                 'obj_weakref': None
2022-11-23T01:32:29.7935046Z                 'guarded_class': None
2022-11-23T01:32:29.7935116Z             }
2022-11-23T01:32:29.7935184Z             
2022-11-23T01:32:29.7935440Z [2022-11-23 01:23:09,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67
2022-11-23T01:32:29.7935809Z [2022-11-23 01:23:10,990] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qm/cqm2zskeev7iwzgiug73bmabyrwj6eitocv3a6mceschbhejjk75.py
2022-11-23T01:32:29.7936075Z [2022-11-23 01:23:10,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67
2022-11-23T01:32:29.7936081Z 
2022-11-23T01:32:29.7936180Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7936254Z import torch
2022-11-23T01:32:29.7936328Z import random
2022-11-23T01:32:29.7936448Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7936574Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7936579Z 
2022-11-23T01:32:29.7936662Z aten = torch.ops.aten
2022-11-23T01:32:29.7936798Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7936895Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7936900Z 
2022-11-23T01:32:29.7936979Z import triton
2022-11-23T01:32:29.7937075Z import triton.language as tl
2022-11-23T01:32:29.7937202Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7937346Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7937352Z 
2022-11-23T01:32:29.7937356Z 
2022-11-23T01:32:29.7937493Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7937701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7937819Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:29.7937929Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.7938033Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7938135Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.7938269Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.7938373Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7938471Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.7938551Z {
2022-11-23T01:32:29.7938658Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7938726Z     {
2022-11-23T01:32:29.7938927Z         #pragma omp for 
2022-11-23T01:32:29.7939017Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.7939086Z         {
2022-11-23T01:32:29.7939147Z             {
2022-11-23T01:32:29.7939218Z                 {
2022-11-23T01:32:29.7939317Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7939414Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:29.7939526Z                     auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:29.7939640Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:29.7939757Z                     auto tmp4 = static_cast<float>(tmp3);
2022-11-23T01:32:29.7939855Z                     auto tmp5 = tmp2 / tmp4;
2022-11-23T01:32:29.7940099Z                     auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3);
2022-11-23T01:32:29.7940200Z                     auto tmp7 = tmp1 / tmp3;
2022-11-23T01:32:29.7940312Z                     auto tmp8 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7940408Z                     auto tmp9 = tmp8 / tmp4;
2022-11-23T01:32:29.7940499Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:29.7940589Z                     out_ptr1[i0] = tmp6;
2022-11-23T01:32:29.7940677Z                     out_ptr2[i0] = tmp7;
2022-11-23T01:32:29.7940758Z                     out_ptr3[i0] = tmp9;
2022-11-23T01:32:29.7940846Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:32:29.7940917Z                 }
2022-11-23T01:32:29.7940988Z             }
2022-11-23T01:32:29.7941059Z         }
2022-11-23T01:32:29.7941129Z     }
2022-11-23T01:32:29.7941196Z }
2022-11-23T01:32:29.7941276Z ''')
2022-11-23T01:32:29.7941282Z 
2022-11-23T01:32:29.7941286Z 
2022-11-23T01:32:29.7941379Z async_compile.wait(globals())
2022-11-23T01:32:29.7941458Z del async_compile
2022-11-23T01:32:29.7941467Z 
2022-11-23T01:32:29.7941543Z def call(args):
2022-11-23T01:32:29.7941624Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7941700Z     args.clear()
2022-11-23T01:32:29.7941897Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7942083Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7942268Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7942467Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7942656Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7942922Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7942998Z     del arg0_1
2022-11-23T01:32:29.7943071Z     del arg1_1
2022-11-23T01:32:29.7943176Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7943182Z 
2022-11-23T01:32:29.7943187Z 
2022-11-23T01:32:29.7943267Z if __name__ == "__main__":
2022-11-23T01:32:29.7943381Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7943509Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7943701Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.7943895Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7944016Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7944021Z 
2022-11-23T01:32:29.7944097Z ok (1.631s)
2022-11-23T01:32:29.7944440Z   test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7944756Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7944997Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7945249Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7945527Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7945841Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7946183Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7946503Z [2022-11-23 01:23:11,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7946872Z [2022-11-23 01:23:11,003] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142> 
2022-11-23T01:32:29.7946974Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7947072Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7947163Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7947258Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7947357Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7947522Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7947621Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7947627Z 
2022-11-23T01:32:29.7947732Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7947827Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7947923Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7948013Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7948160Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7948324Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7948423Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7948428Z 
2022-11-23T01:32:29.7948527Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7948623Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7948718Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7948811Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7948950Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7949117Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7949214Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7949219Z 
2022-11-23T01:32:29.7949315Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7949412Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7949501Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7949506Z 
2022-11-23T01:32:29.7949599Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7949685Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7949778Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7949783Z 
2022-11-23T01:32:29.7949879Z 1143          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7949961Z               56 RETURN_VALUE
2022-11-23T01:32:29.7950026Z  
2022-11-23T01:32:29.7950031Z 
2022-11-23T01:32:29.7950420Z [2022-11-23 01:23:11,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144
2022-11-23T01:32:29.7950702Z [2022-11-23 01:23:11,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7951005Z [2022-11-23 01:23:11,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7951278Z [2022-11-23 01:23:11,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7951544Z [2022-11-23 01:23:11,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7951847Z [2022-11-23 01:23:11,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7952214Z [2022-11-23 01:23:11,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7952606Z [2022-11-23 01:23:11,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7952922Z [2022-11-23 01:23:11,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145
2022-11-23T01:32:29.7953169Z [2022-11-23 01:23:11,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7953492Z [2022-11-23 01:23:11,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7953763Z [2022-11-23 01:23:11,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7954061Z [2022-11-23 01:23:11,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7954390Z [2022-11-23 01:23:11,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7954778Z [2022-11-23 01:23:11,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7955187Z [2022-11-23 01:23:11,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7955485Z [2022-11-23 01:23:11,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146
2022-11-23T01:32:29.7955752Z [2022-11-23 01:23:11,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7956102Z [2022-11-23 01:23:11,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7956403Z [2022-11-23 01:23:11,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7956726Z [2022-11-23 01:23:11,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.7957080Z [2022-11-23 01:23:11,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7957516Z [2022-11-23 01:23:11,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.7957953Z [2022-11-23 01:23:11,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7958283Z [2022-11-23 01:23:11,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147
2022-11-23T01:32:29.7958572Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7958885Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7959245Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7959551Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148
2022-11-23T01:32:29.7959857Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7960195Z [2022-11-23 01:23:11,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7960579Z [2022-11-23 01:23:11,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7960889Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143
2022-11-23T01:32:29.7961236Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7961484Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7961853Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142>
2022-11-23T01:32:29.7962094Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.7962326Z [2022-11-23 01:23:11,028] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.7962581Z [2022-11-23 01:23:11,030] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.7962836Z [2022-11-23 01:23:11,036] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.7963024Z [2022-11-23 01:23:11,036] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.7963167Z  __compiled_fn_69 <eval_with_key>.443 opcode, name, target, args, kwargs
2022-11-23T01:32:29.7963263Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.7963357Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.7963547Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.7963740Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.7963928Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.7964121Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7964309Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.7964450Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.7964484Z 
2022-11-23T01:32:29.7964811Z [2022-11-23 01:23:11,036] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7964933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.7965031Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7965125Z               4 BUILD_MAP                0
2022-11-23T01:32:29.7965226Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.7965316Z               8 DICT_MERGE               1
2022-11-23T01:32:29.7965404Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.7965485Z              12 RETURN_VALUE
2022-11-23T01:32:29.7965490Z 
2022-11-23T01:32:29.7965557Z  
2022-11-23T01:32:29.7965883Z [2022-11-23 01:23:11,037] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.7966003Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_69)
2022-11-23T01:32:29.7966100Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7966198Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7966276Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.7966371Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.7966465Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7966546Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.7966645Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.7966759Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.7966870Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7966966Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.7967040Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.7967150Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7967248Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.7967332Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.7967440Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7967533Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.7967619Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.7967719Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7967812Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.7967894Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.7968000Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.7968093Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.7968174Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.7968269Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.7968343Z              50 RETURN_VALUE
2022-11-23T01:32:29.7968348Z 
2022-11-23T01:32:29.7968414Z  
2022-11-23T01:32:29.7968602Z [2022-11-23 01:23:11,037] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.7968681Z  - 
2022-11-23T01:32:29.7968805Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.7968874Z             {
2022-11-23T01:32:29.7969019Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.7969204Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.7969328Z                 'obj_weakref': None
2022-11-23T01:32:29.7969553Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.7969623Z             }
2022-11-23T01:32:29.7969693Z             
2022-11-23T01:32:29.7969770Z  - 
2022-11-23T01:32:29.7969899Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.7969961Z             {
2022-11-23T01:32:29.7970108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7970220Z                 'code': None,
2022-11-23T01:32:29.7970429Z                 'obj_weakref': <weakref at 0x7f20233782c0; to 'Tensor' at 0x7f20601875b0>
2022-11-23T01:32:29.7970722Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7970794Z             }
2022-11-23T01:32:29.7970864Z             
2022-11-23T01:32:29.7970954Z  - 
2022-11-23T01:32:29.7971080Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.7971150Z             {
2022-11-23T01:32:29.7971296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.7971407Z                 'code': None,
2022-11-23T01:32:29.7971613Z                 'obj_weakref': <weakref at 0x7f20233790d0; to 'Tensor' at 0x7f2115ada020>
2022-11-23T01:32:29.7971854Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.7971916Z             }
2022-11-23T01:32:29.7971986Z             
2022-11-23T01:32:29.7972062Z  - 
2022-11-23T01:32:29.7972199Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.7972269Z             {
2022-11-23T01:32:29.7972409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.7972586Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.7972702Z                 'obj_weakref': None
2022-11-23T01:32:29.7972933Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.7973003Z             }
2022-11-23T01:32:29.7973072Z             
2022-11-23T01:32:29.7973147Z  - 
2022-11-23T01:32:29.7973274Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.7973343Z             {
2022-11-23T01:32:29.7973477Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.7973698Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.7973823Z                 'obj_weakref': None
2022-11-23T01:32:29.7974046Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.7974114Z             }
2022-11-23T01:32:29.7974183Z             
2022-11-23T01:32:29.7974262Z  - 
2022-11-23T01:32:29.7974390Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.7974459Z             {
2022-11-23T01:32:29.7974582Z                 'guard_types': None,
2022-11-23T01:32:29.7974696Z                 'code': None,
2022-11-23T01:32:29.7974820Z                 'obj_weakref': None
2022-11-23T01:32:29.7974945Z                 'guarded_class': None
2022-11-23T01:32:29.7975014Z             }
2022-11-23T01:32:29.7975076Z             
2022-11-23T01:32:29.7975334Z [2022-11-23 01:23:11,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68
2022-11-23T01:32:29.7975696Z [2022-11-23 01:23:12,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44vhkpmdktgtsdlgcrbck67dxos2rxqmwg3jiygyfbs5cqnaypq.py
2022-11-23T01:32:29.7975957Z [2022-11-23 01:23:12,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68
2022-11-23T01:32:29.7975963Z 
2022-11-23T01:32:29.7976066Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.7976141Z import torch
2022-11-23T01:32:29.7976216Z import random
2022-11-23T01:32:29.7976336Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.7976460Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.7976466Z 
2022-11-23T01:32:29.7976550Z aten = torch.ops.aten
2022-11-23T01:32:29.7976691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.7976794Z async_compile = AsyncCompile()
2022-11-23T01:32:29.7976799Z 
2022-11-23T01:32:29.7976874Z import triton
2022-11-23T01:32:29.7976969Z import triton.language as tl
2022-11-23T01:32:29.7977096Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.7977232Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.7977244Z 
2022-11-23T01:32:29.7977249Z 
2022-11-23T01:32:29.7977379Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.7977617Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.7977746Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.7977858Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.7977985Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.7978087Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.7978187Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.7978283Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.7978381Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.7978450Z {
2022-11-23T01:32:29.7978555Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.7978622Z     {
2022-11-23T01:32:29.7978704Z         #pragma omp for 
2022-11-23T01:32:29.7978992Z         for(long i0=0; i0<10000; i0+=1)
2022-11-23T01:32:29.7979056Z         {
2022-11-23T01:32:29.7979125Z             {
2022-11-23T01:32:29.7979196Z                 {
2022-11-23T01:32:29.7979300Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.7979398Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.7979516Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.7979634Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:29.7979724Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:29.7979973Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:29.7980069Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:29.7980161Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.7980253Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.7980342Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.7980430Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:29.7980511Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.7980584Z                 }
2022-11-23T01:32:29.7980656Z             }
2022-11-23T01:32:29.7980728Z         }
2022-11-23T01:32:29.7980798Z     }
2022-11-23T01:32:29.7980865Z }
2022-11-23T01:32:29.7980951Z ''')
2022-11-23T01:32:29.7980956Z 
2022-11-23T01:32:29.7980965Z 
2022-11-23T01:32:29.7981052Z async_compile.wait(globals())
2022-11-23T01:32:29.7981132Z del async_compile
2022-11-23T01:32:29.7981137Z 
2022-11-23T01:32:29.7981215Z def call(args):
2022-11-23T01:32:29.7981296Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.7981373Z     args.clear()
2022-11-23T01:32:29.7981581Z     buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7981784Z     buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7981986Z     buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7982181Z     buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.7982380Z     buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7982646Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.7982724Z     del arg0_1
2022-11-23T01:32:29.7982797Z     del arg1_1
2022-11-23T01:32:29.7982899Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.7982905Z 
2022-11-23T01:32:29.7982910Z 
2022-11-23T01:32:29.7982990Z if __name__ == "__main__":
2022-11-23T01:32:29.7983111Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.7983231Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.7983433Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7983633Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.7983755Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.7983808Z 
2022-11-23T01:32:29.7983883Z ok (1.650s)
2022-11-23T01:32:29.7984183Z   test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.7984569Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.7984787Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.7985038Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.7985305Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.7985619Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7985961Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7986282Z [2022-11-23 01:23:12,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.7986649Z [2022-11-23 01:23:12,652] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160> 
2022-11-23T01:32:29.7986751Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7986848Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7986948Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7987044Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7987137Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.7987307Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7987405Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7987411Z 
2022-11-23T01:32:29.7987510Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7987612Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7987708Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7987802Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7987941Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.7988107Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7988206Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7988212Z 
2022-11-23T01:32:29.7988311Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.7988411Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.7988506Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7988602Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7988752Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.7988911Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.7989012Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.7989017Z 
2022-11-23T01:32:29.7989110Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7989203Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7989293Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.7989298Z 
2022-11-23T01:32:29.7989391Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.7989485Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.7989576Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.7989582Z 
2022-11-23T01:32:29.7989669Z 1161          54 BUILD_TUPLE              5
2022-11-23T01:32:29.7989750Z               56 RETURN_VALUE
2022-11-23T01:32:29.7989820Z  
2022-11-23T01:32:29.7989825Z 
2022-11-23T01:32:29.7990170Z [2022-11-23 01:23:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162
2022-11-23T01:32:29.7990477Z [2022-11-23 01:23:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.7990847Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7991102Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.7991384Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:29.7991704Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7992081Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:29.7992486Z [2022-11-23 01:23:12,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.7992799Z [2022-11-23 01:23:12,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163
2022-11-23T01:32:29.7993042Z [2022-11-23 01:23:12,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.7993366Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7993640Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7993945Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:29.7994300Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7994706Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:29.7995139Z [2022-11-23 01:23:12,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7995455Z [2022-11-23 01:23:12,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164
2022-11-23T01:32:29.7995728Z [2022-11-23 01:23:12,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7996086Z [2022-11-23 01:23:12,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.7996377Z [2022-11-23 01:23:12,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.7996707Z [2022-11-23 01:23:12,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:29.7997112Z [2022-11-23 01:23:12,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7997550Z [2022-11-23 01:23:12,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:29.7998035Z [2022-11-23 01:23:12,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.7998348Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165
2022-11-23T01:32:29.7998646Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.7998973Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.7999355Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.7999664Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166
2022-11-23T01:32:29.7999986Z [2022-11-23 01:23:12,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8000350Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.8000766Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8001065Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161
2022-11-23T01:32:29.8001440Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.8001694Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8002069Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160>
2022-11-23T01:32:29.8002323Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8002563Z [2022-11-23 01:23:12,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8002820Z [2022-11-23 01:23:12,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8003075Z [2022-11-23 01:23:12,686] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8003268Z [2022-11-23 01:23:12,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8003408Z  __compiled_fn_70 <eval_with_key>.449 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8003587Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T01:32:29.8003781Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.8003969Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.8004086Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T01:32:29.8004116Z 
2022-11-23T01:32:29.8004448Z [2022-11-23 01:23:12,687] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8004572Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8004670Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8004763Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8004856Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8004948Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8005042Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8005124Z              12 RETURN_VALUE
2022-11-23T01:32:29.8005129Z 
2022-11-23T01:32:29.8005195Z  
2022-11-23T01:32:29.8005521Z [2022-11-23 01:23:12,687] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8005641Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_70)
2022-11-23T01:32:29.8005736Z               2 CALL_FUNCTION            0
2022-11-23T01:32:29.8005840Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8005954Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8006053Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8006135Z              10 BINARY_SUBSCR
2022-11-23T01:32:29.8006242Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8006337Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8006418Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8006518Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8006612Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8006693Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8006792Z              24 LOAD_CONST               4 (10.24)
2022-11-23T01:32:29.8006887Z              26 LOAD_CONST               5 (10)
2022-11-23T01:32:29.8006982Z              28 BUILD_TUPLE              5
2022-11-23T01:32:29.8007065Z              30 RETURN_VALUE
2022-11-23T01:32:29.8007071Z 
2022-11-23T01:32:29.8007129Z  
2022-11-23T01:32:29.8007324Z [2022-11-23 01:23:12,688] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8007399Z  - 
2022-11-23T01:32:29.8007526Z             local 'ex' EQUALS_MATCH
2022-11-23T01:32:29.8007595Z             {
2022-11-23T01:32:29.8007769Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:29.8008090Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2', '___check_type_id(ex[0], 94768292480384)', '___check_type_id(ex[1], 94768292480384)', 'ex == (1024, 100)'],
2022-11-23T01:32:29.8008215Z                 'obj_weakref': None
2022-11-23T01:32:29.8008437Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8008510Z             }
2022-11-23T01:32:29.8008580Z             
2022-11-23T01:32:29.8008657Z  - 
2022-11-23T01:32:29.8008794Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:29.8008862Z             {
2022-11-23T01:32:29.8009012Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.8009203Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 1024'],
2022-11-23T01:32:29.8009327Z                 'obj_weakref': None
2022-11-23T01:32:29.8009543Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.8009612Z             }
2022-11-23T01:32:29.8009680Z             
2022-11-23T01:32:29.8009755Z  - 
2022-11-23T01:32:29.8009889Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:29.8009950Z             {
2022-11-23T01:32:29.8010095Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.8010287Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 100'],
2022-11-23T01:32:29.8010409Z                 'obj_weakref': None
2022-11-23T01:32:29.8010657Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:29.8010728Z             }
2022-11-23T01:32:29.8010796Z             
2022-11-23T01:32:29.8010887Z  - 
2022-11-23T01:32:29.8011023Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8011091Z             {
2022-11-23T01:32:29.8011231Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8011408Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8011530Z                 'obj_weakref': None
2022-11-23T01:32:29.8011757Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8011819Z             }
2022-11-23T01:32:29.8011886Z             
2022-11-23T01:32:29.8011965Z  - 
2022-11-23T01:32:29.8012090Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8012159Z             {
2022-11-23T01:32:29.8012298Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8012522Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8012637Z                 'obj_weakref': None
2022-11-23T01:32:29.8012860Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8012932Z             }
2022-11-23T01:32:29.8013000Z             
2022-11-23T01:32:29.8013077Z  - 
2022-11-23T01:32:29.8013212Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8013279Z             {
2022-11-23T01:32:29.8013396Z                 'guard_types': None,
2022-11-23T01:32:29.8013507Z                 'code': None,
2022-11-23T01:32:29.8013630Z                 'obj_weakref': None
2022-11-23T01:32:29.8013755Z                 'guarded_class': None
2022-11-23T01:32:29.8013824Z             }
2022-11-23T01:32:29.8013892Z             
2022-11-23T01:32:29.8014144Z [2022-11-23 01:23:12,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69
2022-11-23T01:32:29.8014507Z [2022-11-23 01:23:14,339] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbigmpa7zcag2ab5lo744npbeoforj4skm53zin6jyqihwosal7.py
2022-11-23T01:32:29.8014771Z [2022-11-23 01:23:14,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69
2022-11-23T01:32:29.8014780Z 
2022-11-23T01:32:29.8014879Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8014952Z import torch
2022-11-23T01:32:29.8015026Z import random
2022-11-23T01:32:29.8015146Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8015272Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8015277Z 
2022-11-23T01:32:29.8015365Z aten = torch.ops.aten
2022-11-23T01:32:29.8015497Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8015592Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8015597Z 
2022-11-23T01:32:29.8015673Z import triton
2022-11-23T01:32:29.8015767Z import triton.language as tl
2022-11-23T01:32:29.8015901Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8016044Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8016052Z 
2022-11-23T01:32:29.8016056Z 
2022-11-23T01:32:29.8016193Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8016402Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8016512Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T01:32:29.8016613Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.8016714Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:29.8016781Z {
2022-11-23T01:32:29.8016849Z     {
2022-11-23T01:32:29.8016918Z         {
2022-11-23T01:32:29.8017025Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:29.8017123Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:29.8017213Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8017340Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:29.8017412Z         }
2022-11-23T01:32:29.8017478Z     }
2022-11-23T01:32:29.8017543Z     {
2022-11-23T01:32:29.8017602Z         {
2022-11-23T01:32:29.8017732Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:29.8017835Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:29.8018076Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T01:32:29.8018160Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:29.8018228Z         }
2022-11-23T01:32:29.8018294Z     }
2022-11-23T01:32:29.8018352Z     {
2022-11-23T01:32:29.8018420Z         {
2022-11-23T01:32:29.8018528Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:29.8018632Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:29.8018724Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8018922Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:29.8018993Z         }
2022-11-23T01:32:29.8019055Z     }
2022-11-23T01:32:29.8019121Z }
2022-11-23T01:32:29.8019208Z ''')
2022-11-23T01:32:29.8019214Z 
2022-11-23T01:32:29.8019219Z 
2022-11-23T01:32:29.8019312Z async_compile.wait(globals())
2022-11-23T01:32:29.8019393Z del async_compile
2022-11-23T01:32:29.8019398Z 
2022-11-23T01:32:29.8019472Z def call(args):
2022-11-23T01:32:29.8019658Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8019831Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8020011Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8020178Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.8020267Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.8020272Z 
2022-11-23T01:32:29.8020277Z 
2022-11-23T01:32:29.8020357Z if __name__ == "__main__":
2022-11-23T01:32:29.8020476Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8020607Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8020715Z     print_performance(lambda: call([]))
2022-11-23T01:32:29.8020720Z 
2022-11-23T01:32:29.8020791Z ok (1.693s)
2022-11-23T01:32:29.8021089Z   test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8021400Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8021620Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8021873Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8022153Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8022468Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8022807Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8023125Z [2022-11-23 01:23:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8023488Z [2022-11-23 01:23:14,346] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:29.8023593Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8023686Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.8023786Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:29.8023929Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:29.8024028Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8024123Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8024246Z               12 CALL_METHOD              2
2022-11-23T01:32:29.8024341Z               14 BUILD_TUPLE              1
2022-11-23T01:32:29.8024416Z               16 RETURN_VALUE
2022-11-23T01:32:29.8024481Z  
2022-11-23T01:32:29.8024486Z 
2022-11-23T01:32:29.8024798Z [2022-11-23 01:23:14,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:29.8025019Z [2022-11-23 01:23:14,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8025379Z [2022-11-23 01:23:14,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8025676Z [2022-11-23 01:23:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.8025977Z [2022-11-23 01:23:14,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:29.8026235Z [2022-11-23 01:23:14,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:29.8026512Z [2022-11-23 01:23:14,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:29.8026827Z [2022-11-23 01:23:14,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8027059Z [2022-11-23 01:23:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.8027304Z [2022-11-23 01:23:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8027671Z [2022-11-23 01:23:14,356] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:29.8027922Z [2022-11-23 01:23:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8028155Z [2022-11-23 01:23:14,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8028411Z [2022-11-23 01:23:14,357] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8028660Z [2022-11-23 01:23:14,361] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8028852Z [2022-11-23 01:23:14,361] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8028995Z  __compiled_fn_71 <eval_with_key>.455 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8029084Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8029177Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8029292Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8029395Z output, output, output, ((div,),), {}
2022-11-23T01:32:29.8029400Z 
2022-11-23T01:32:29.8029723Z [2022-11-23 01:23:14,361] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8029822Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8029919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8030012Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8030103Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8030194Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8030369Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8030467Z              12 RETURN_VALUE
2022-11-23T01:32:29.8030473Z 
2022-11-23T01:32:29.8030585Z  
2022-11-23T01:32:29.8030926Z [2022-11-23 01:23:14,361] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8031079Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_71)
2022-11-23T01:32:29.8031168Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8031263Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8031346Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8031440Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8031535Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8031635Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8031735Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8031870Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8031971Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8032071Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8032153Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8032245Z              24 BUILD_TUPLE              1
2022-11-23T01:32:29.8032325Z              26 RETURN_VALUE
2022-11-23T01:32:29.8032334Z 
2022-11-23T01:32:29.8032399Z  
2022-11-23T01:32:29.8032584Z [2022-11-23 01:23:14,362] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8032653Z  - 
2022-11-23T01:32:29.8032776Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8032845Z             {
2022-11-23T01:32:29.8032991Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8033181Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8033303Z                 'obj_weakref': None
2022-11-23T01:32:29.8033527Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8033590Z             }
2022-11-23T01:32:29.8033659Z             
2022-11-23T01:32:29.8033736Z  - 
2022-11-23T01:32:29.8033867Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8033936Z             {
2022-11-23T01:32:29.8034084Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8034194Z                 'code': None,
2022-11-23T01:32:29.8034399Z                 'obj_weakref': <weakref at 0x7f2023388d10; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8034648Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8034716Z             }
2022-11-23T01:32:29.8034784Z             
2022-11-23T01:32:29.8034859Z  - 
2022-11-23T01:32:29.8034988Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8035057Z             {
2022-11-23T01:32:29.8035194Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8035306Z                 'code': None,
2022-11-23T01:32:29.8035509Z                 'obj_weakref': <weakref at 0x7f2023388f40; to 'Tensor' at 0x7f20601875b0>
2022-11-23T01:32:29.8035752Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8035823Z             }
2022-11-23T01:32:29.8035891Z             
2022-11-23T01:32:29.8035967Z  - 
2022-11-23T01:32:29.8036094Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8036162Z             {
2022-11-23T01:32:29.8036299Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8036471Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8036597Z                 'obj_weakref': None
2022-11-23T01:32:29.8036827Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8036896Z             }
2022-11-23T01:32:29.8036957Z             
2022-11-23T01:32:29.8037032Z  - 
2022-11-23T01:32:29.8037157Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8037226Z             {
2022-11-23T01:32:29.8037365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8037617Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8037741Z                 'obj_weakref': None
2022-11-23T01:32:29.8037955Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8038049Z             }
2022-11-23T01:32:29.8038118Z             
2022-11-23T01:32:29.8038192Z  - 
2022-11-23T01:32:29.8038331Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8038400Z             {
2022-11-23T01:32:29.8038526Z                 'guard_types': None,
2022-11-23T01:32:29.8038630Z                 'code': None,
2022-11-23T01:32:29.8038751Z                 'obj_weakref': None
2022-11-23T01:32:29.8038876Z                 'guarded_class': None
2022-11-23T01:32:29.8038944Z             }
2022-11-23T01:32:29.8039011Z             
2022-11-23T01:32:29.8039271Z [2022-11-23 01:23:14,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70
2022-11-23T01:32:29.8039636Z [2022-11-23 01:23:15,927] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ck/cckg5xi4h6qynqecjphsoojwxsakejdrjsfrfdxcyjvt7wntjhp7.py
2022-11-23T01:32:29.8039891Z [2022-11-23 01:23:15,927] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70
2022-11-23T01:32:29.8040132Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8040443Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8040663Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8040917Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8041193Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8041507Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8041849Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8042165Z [2022-11-23 01:23:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8042532Z [2022-11-23 01:23:15,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:29.8042629Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8042729Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.8042833Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:29.8042931Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:29.8043027Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8043122Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8043219Z               12 CALL_METHOD              2
2022-11-23T01:32:29.8043314Z               14 BUILD_TUPLE              1
2022-11-23T01:32:29.8043389Z               16 RETURN_VALUE
2022-11-23T01:32:29.8043456Z  
2022-11-23T01:32:29.8043461Z 
2022-11-23T01:32:29.8043776Z [2022-11-23 01:23:15,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:29.8043994Z [2022-11-23 01:23:15,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8044355Z [2022-11-23 01:23:15,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8044677Z [2022-11-23 01:23:15,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.8044983Z [2022-11-23 01:23:15,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:29.8045260Z [2022-11-23 01:23:15,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:29.8045535Z [2022-11-23 01:23:15,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:29.8045836Z [2022-11-23 01:23:15,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8046075Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.8046323Z [2022-11-23 01:23:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8046690Z [2022-11-23 01:23:15,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:29.8046937Z [2022-11-23 01:23:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8047170Z [2022-11-23 01:23:15,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8047425Z [2022-11-23 01:23:15,941] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8047672Z [2022-11-23 01:23:15,944] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8047865Z [2022-11-23 01:23:15,945] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8048007Z  __compiled_fn_72 <eval_with_key>.461 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8048094Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8048187Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8048302Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8048406Z output, output, output, ((div,),), {}
2022-11-23T01:32:29.8048411Z 
2022-11-23T01:32:29.8048737Z [2022-11-23 01:23:15,945] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8048838Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8048936Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8049021Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8049120Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8049212Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8049307Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8049394Z              12 RETURN_VALUE
2022-11-23T01:32:29.8049399Z 
2022-11-23T01:32:29.8049464Z  
2022-11-23T01:32:29.8049784Z [2022-11-23 01:23:15,945] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8049904Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_72)
2022-11-23T01:32:29.8049993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8050088Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8050170Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8050265Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8050361Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8050441Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8050537Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8050642Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8050750Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8050875Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8050961Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8051054Z              24 BUILD_TUPLE              1
2022-11-23T01:32:29.8051160Z              26 RETURN_VALUE
2022-11-23T01:32:29.8051166Z 
2022-11-23T01:32:29.8051230Z  
2022-11-23T01:32:29.8051409Z [2022-11-23 01:23:15,946] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8051486Z  - 
2022-11-23T01:32:29.8051611Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8051679Z             {
2022-11-23T01:32:29.8051824Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8052015Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8052140Z                 'obj_weakref': None
2022-11-23T01:32:29.8052364Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8052427Z             }
2022-11-23T01:32:29.8052496Z             
2022-11-23T01:32:29.8052574Z  - 
2022-11-23T01:32:29.8052706Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8052773Z             {
2022-11-23T01:32:29.8052921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8053030Z                 'code': None,
2022-11-23T01:32:29.8053240Z                 'obj_weakref': <weakref at 0x7f202338b6a0; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8053489Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8053558Z             }
2022-11-23T01:32:29.8053628Z             
2022-11-23T01:32:29.8053702Z  - 
2022-11-23T01:32:29.8053828Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8053889Z             {
2022-11-23T01:32:29.8054035Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8054145Z                 'code': None,
2022-11-23T01:32:29.8054349Z                 'obj_weakref': <weakref at 0x7f202338b880; to 'Tensor' at 0x7f2023379080>
2022-11-23T01:32:29.8054592Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8054661Z             }
2022-11-23T01:32:29.8054732Z             
2022-11-23T01:32:29.8054807Z  - 
2022-11-23T01:32:29.8054935Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8055004Z             {
2022-11-23T01:32:29.8055142Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8055315Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8055438Z                 'obj_weakref': None
2022-11-23T01:32:29.8055668Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8055736Z             }
2022-11-23T01:32:29.8055797Z             
2022-11-23T01:32:29.8055871Z  - 
2022-11-23T01:32:29.8055997Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8056065Z             {
2022-11-23T01:32:29.8056208Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8056425Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8056540Z                 'obj_weakref': None
2022-11-23T01:32:29.8056765Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8056833Z             }
2022-11-23T01:32:29.8056901Z             
2022-11-23T01:32:29.8056975Z  - 
2022-11-23T01:32:29.8057109Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8057178Z             {
2022-11-23T01:32:29.8057294Z                 'guard_types': None,
2022-11-23T01:32:29.8057404Z                 'code': None,
2022-11-23T01:32:29.8057525Z                 'obj_weakref': None
2022-11-23T01:32:29.8057650Z                 'guarded_class': None
2022-11-23T01:32:29.8057717Z             }
2022-11-23T01:32:29.8057785Z             
2022-11-23T01:32:29.8058073Z [2022-11-23 01:23:15,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71
2022-11-23T01:32:29.8058439Z [2022-11-23 01:23:17,511] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mb/cmbppmidyih2bkdbpzqhpsbpl4zh5bx4fp4nhv3n237khdqa25pg.py
2022-11-23T01:32:29.8058714Z [2022-11-23 01:23:17,511] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71
2022-11-23T01:32:29.8058720Z 
2022-11-23T01:32:29.8059011Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8059088Z import torch
2022-11-23T01:32:29.8059163Z import random
2022-11-23T01:32:29.8059284Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8059411Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8059416Z 
2022-11-23T01:32:29.8059500Z aten = torch.ops.aten
2022-11-23T01:32:29.8059632Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8059731Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8059736Z 
2022-11-23T01:32:29.8059811Z import triton
2022-11-23T01:32:29.8059907Z import triton.language as tl
2022-11-23T01:32:29.8060035Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8060175Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8060184Z 
2022-11-23T01:32:29.8060188Z 
2022-11-23T01:32:29.8060329Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8060539Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8060664Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8060768Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8060874Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8060942Z {
2022-11-23T01:32:29.8061044Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8061111Z     {
2022-11-23T01:32:29.8061193Z         #pragma omp for 
2022-11-23T01:32:29.8061274Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:29.8061342Z         {
2022-11-23T01:32:29.8061501Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8061641Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.8061736Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8061831Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8061898Z         }
2022-11-23T01:32:29.8061998Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8062080Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:29.8062148Z         {
2022-11-23T01:32:29.8062239Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8062326Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.8062414Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8062501Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8062561Z         }
2022-11-23T01:32:29.8062628Z     }
2022-11-23T01:32:29.8062693Z }
2022-11-23T01:32:29.8062778Z ''')
2022-11-23T01:32:29.8062784Z 
2022-11-23T01:32:29.8062788Z 
2022-11-23T01:32:29.8062882Z async_compile.wait(globals())
2022-11-23T01:32:29.8062959Z del async_compile
2022-11-23T01:32:29.8062965Z 
2022-11-23T01:32:29.8063039Z def call(args):
2022-11-23T01:32:29.8063122Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8063190Z     args.clear()
2022-11-23T01:32:29.8063394Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8063564Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8063637Z     del arg0_1
2022-11-23T01:32:29.8063709Z     del arg1_1
2022-11-23T01:32:29.8063784Z     return (buf0, )
2022-11-23T01:32:29.8063790Z 
2022-11-23T01:32:29.8063794Z 
2022-11-23T01:32:29.8063879Z if __name__ == "__main__":
2022-11-23T01:32:29.8063991Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8064121Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8064378Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8064599Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8064727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8064766Z 
2022-11-23T01:32:29.8064770Z 
2022-11-23T01:32:29.8064873Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8064948Z import torch
2022-11-23T01:32:29.8065024Z import random
2022-11-23T01:32:29.8065144Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8065278Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8065283Z 
2022-11-23T01:32:29.8065368Z aten = torch.ops.aten
2022-11-23T01:32:29.8065516Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8065616Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8065621Z 
2022-11-23T01:32:29.8065696Z import triton
2022-11-23T01:32:29.8065793Z import triton.language as tl
2022-11-23T01:32:29.8065928Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8066075Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8066080Z 
2022-11-23T01:32:29.8066084Z 
2022-11-23T01:32:29.8066235Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8066470Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8066601Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8066714Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.8066820Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:29.8066888Z {
2022-11-23T01:32:29.8066997Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8067056Z     {
2022-11-23T01:32:29.8067140Z         #pragma omp for 
2022-11-23T01:32:29.8067230Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:29.8067298Z         {
2022-11-23T01:32:29.8067367Z             {
2022-11-23T01:32:29.8067436Z                 {
2022-11-23T01:32:29.8067532Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8067632Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.8067730Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8067826Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8067895Z                 }
2022-11-23T01:32:29.8067963Z             }
2022-11-23T01:32:29.8068031Z         }
2022-11-23T01:32:29.8068090Z     }
2022-11-23T01:32:29.8068153Z }
2022-11-23T01:32:29.8068242Z ''')
2022-11-23T01:32:29.8068247Z 
2022-11-23T01:32:29.8068252Z 
2022-11-23T01:32:29.8068351Z async_compile.wait(globals())
2022-11-23T01:32:29.8068431Z del async_compile
2022-11-23T01:32:29.8068436Z 
2022-11-23T01:32:29.8068511Z def call(args):
2022-11-23T01:32:29.8068593Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8068662Z     args.clear()
2022-11-23T01:32:29.8068879Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8069049Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8069122Z     del arg0_1
2022-11-23T01:32:29.8069197Z     del arg1_1
2022-11-23T01:32:29.8069273Z     return (buf0, )
2022-11-23T01:32:29.8069278Z 
2022-11-23T01:32:29.8069285Z 
2022-11-23T01:32:29.8069366Z if __name__ == "__main__":
2022-11-23T01:32:29.8069485Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8069605Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8069798Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8069988Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8070109Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8070114Z 
2022-11-23T01:32:29.8070185Z ok (3.184s)
2022-11-23T01:32:29.8070590Z   test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:17,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8070936Z [2022-11-23 01:23:17,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8071157Z [2022-11-23 01:23:17,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8071428Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8071751Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8072068Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8072410Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8072729Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8073092Z [2022-11-23 01:23:17,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:29.8073196Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8073293Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8073393Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8073488Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8073580Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.8073746Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8073844Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8073849Z 
2022-11-23T01:32:29.8073947Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8074046Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8074142Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8074236Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8074378Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.8074541Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8074639Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8074644Z 
2022-11-23T01:32:29.8074741Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8074837Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8074932Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8075027Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8075172Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.8075327Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8075428Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8075433Z 
2022-11-23T01:32:29.8075527Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8075621Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8075713Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.8075719Z 
2022-11-23T01:32:29.8075813Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8075906Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8075998Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.8076004Z 
2022-11-23T01:32:29.8076091Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:29.8076173Z               56 RETURN_VALUE
2022-11-23T01:32:29.8076239Z  
2022-11-23T01:32:29.8076244Z 
2022-11-23T01:32:29.8076559Z [2022-11-23 01:23:17,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:29.8076810Z [2022-11-23 01:23:17,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8077112Z [2022-11-23 01:23:17,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8077385Z [2022-11-23 01:23:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.8077657Z [2022-11-23 01:23:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8077961Z [2022-11-23 01:23:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8078318Z [2022-11-23 01:23:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.8078711Z [2022-11-23 01:23:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.8079020Z [2022-11-23 01:23:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:29.8079272Z [2022-11-23 01:23:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8079596Z [2022-11-23 01:23:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8079868Z [2022-11-23 01:23:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8080165Z [2022-11-23 01:23:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8080500Z [2022-11-23 01:23:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8080884Z [2022-11-23 01:23:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8081296Z [2022-11-23 01:23:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8081601Z [2022-11-23 01:23:17,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:29.8081871Z [2022-11-23 01:23:17,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8082213Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8082509Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8082834Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8083195Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8083606Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8084067Z [2022-11-23 01:23:17,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8084402Z [2022-11-23 01:23:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:29.8084691Z [2022-11-23 01:23:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8085003Z [2022-11-23 01:23:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8085367Z [2022-11-23 01:23:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8085676Z [2022-11-23 01:23:17,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:29.8085985Z [2022-11-23 01:23:17,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8086324Z [2022-11-23 01:23:17,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8086710Z [2022-11-23 01:23:17,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8087025Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:29.8087374Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8087623Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8087998Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:29.8088246Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8088483Z [2022-11-23 01:23:17,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8088743Z [2022-11-23 01:23:17,567] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8088998Z [2022-11-23 01:23:17,578] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8089194Z [2022-11-23 01:23:17,578] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8089327Z  __compiled_fn_73 <eval_with_key>.467 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8089426Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8089517Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8089706Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.8089898Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.8090087Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.8090281Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8090476Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8090607Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.8090613Z 
2022-11-23T01:32:29.8091012Z [2022-11-23 01:23:17,578] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8091118Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8091246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8091339Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8091437Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8091533Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8091627Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8091701Z              12 RETURN_VALUE
2022-11-23T01:32:29.8091706Z 
2022-11-23T01:32:29.8091772Z  
2022-11-23T01:32:29.8092099Z [2022-11-23 01:23:17,579] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8092214Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_73)
2022-11-23T01:32:29.8092313Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8092409Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8092493Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8092586Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8092677Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8092759Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8092854Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8092967Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8093076Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8093172Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8093253Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8093353Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8093448Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8093529Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8093637Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8093732Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8093813Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8093923Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8094010Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.8094092Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.8094198Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8094292Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.8094373Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.8094467Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.8094546Z              50 RETURN_VALUE
2022-11-23T01:32:29.8094551Z 
2022-11-23T01:32:29.8094609Z  
2022-11-23T01:32:29.8094801Z [2022-11-23 01:23:17,580] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8094878Z  - 
2022-11-23T01:32:29.8095002Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8095076Z             {
2022-11-23T01:32:29.8095221Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8095410Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8095529Z                 'obj_weakref': None
2022-11-23T01:32:29.8095752Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8095823Z             }
2022-11-23T01:32:29.8095890Z             
2022-11-23T01:32:29.8095966Z  - 
2022-11-23T01:32:29.8096099Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8096167Z             {
2022-11-23T01:32:29.8096306Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8096417Z                 'code': None,
2022-11-23T01:32:29.8096628Z                 'obj_weakref': <weakref at 0x7f20601ed9e0; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8096909Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8096980Z             }
2022-11-23T01:32:29.8097049Z             
2022-11-23T01:32:29.8097125Z  - 
2022-11-23T01:32:29.8097245Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8097336Z             {
2022-11-23T01:32:29.8097483Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8097596Z                 'code': None,
2022-11-23T01:32:29.8097802Z                 'obj_weakref': <weakref at 0x7f20601efb50; to 'Tensor' at 0x7f2023356110>
2022-11-23T01:32:29.8098043Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8098117Z             }
2022-11-23T01:32:29.8098177Z             
2022-11-23T01:32:29.8098252Z  - 
2022-11-23T01:32:29.8098390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8098458Z             {
2022-11-23T01:32:29.8098598Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8098773Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8099039Z                 'obj_weakref': None
2022-11-23T01:32:29.8099259Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8099332Z             }
2022-11-23T01:32:29.8099402Z             
2022-11-23T01:32:29.8099478Z  - 
2022-11-23T01:32:29.8099601Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8099669Z             {
2022-11-23T01:32:29.8099811Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8100024Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8100147Z                 'obj_weakref': None
2022-11-23T01:32:29.8100370Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8100439Z             }
2022-11-23T01:32:29.8100509Z             
2022-11-23T01:32:29.8100584Z  - 
2022-11-23T01:32:29.8100722Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8100784Z             {
2022-11-23T01:32:29.8100909Z                 'guard_types': None,
2022-11-23T01:32:29.8101022Z                 'code': None,
2022-11-23T01:32:29.8101148Z                 'obj_weakref': None
2022-11-23T01:32:29.8101274Z                 'guarded_class': None
2022-11-23T01:32:29.8101344Z             }
2022-11-23T01:32:29.8101412Z             
2022-11-23T01:32:29.8101663Z [2022-11-23 01:23:17,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72
2022-11-23T01:32:29.8102029Z [2022-11-23 01:23:19,306] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rf/crfvjrioqowjqwmwtoe6dqekwvelkx6fylw6qrbepqodbaj45dik.py
2022-11-23T01:32:29.8102289Z [2022-11-23 01:23:19,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72
2022-11-23T01:32:29.8102525Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8102840Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8103057Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8103313Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8103588Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8103903Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8104247Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8104608Z [2022-11-23 01:23:19,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8104984Z [2022-11-23 01:23:19,325] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:29.8105120Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8105219Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8105317Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8105413Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8105511Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.8105677Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8105769Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8105774Z 
2022-11-23T01:32:29.8105874Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8105974Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8106071Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8106168Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8106320Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.8106486Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8106584Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8106590Z 
2022-11-23T01:32:29.8106680Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8106778Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8106872Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8106966Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8107112Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.8107274Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8107373Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8107378Z 
2022-11-23T01:32:29.8107465Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8107560Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8107652Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.8107657Z 
2022-11-23T01:32:29.8107751Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8107847Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8107938Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.8107943Z 
2022-11-23T01:32:29.8108039Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:29.8108119Z               56 RETURN_VALUE
2022-11-23T01:32:29.8108177Z  
2022-11-23T01:32:29.8108182Z 
2022-11-23T01:32:29.8108495Z [2022-11-23 01:23:19,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:29.8108715Z [2022-11-23 01:23:19,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8109017Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8109268Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.8109540Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8109847Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8110211Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.8110749Z [2022-11-23 01:23:19,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.8111064Z [2022-11-23 01:23:19,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:29.8111331Z [2022-11-23 01:23:19,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8111647Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8111919Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8112215Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8112555Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8112943Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8113361Z [2022-11-23 01:23:19,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8113673Z [2022-11-23 01:23:19,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:29.8113946Z [2022-11-23 01:23:19,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8114303Z [2022-11-23 01:23:19,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8114604Z [2022-11-23 01:23:19,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8114933Z [2022-11-23 01:23:19,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8115297Z [2022-11-23 01:23:19,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8115706Z [2022-11-23 01:23:19,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8116150Z [2022-11-23 01:23:19,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8116466Z [2022-11-23 01:23:19,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:29.8116761Z [2022-11-23 01:23:19,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8117078Z [2022-11-23 01:23:19,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8117439Z [2022-11-23 01:23:19,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8117780Z [2022-11-23 01:23:19,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:29.8118096Z [2022-11-23 01:23:19,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8118459Z [2022-11-23 01:23:19,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8118848Z [2022-11-23 01:23:19,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8119154Z [2022-11-23 01:23:19,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:29.8119503Z [2022-11-23 01:23:19,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8119755Z [2022-11-23 01:23:19,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8120127Z [2022-11-23 01:23:19,359] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:29.8120378Z [2022-11-23 01:23:19,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8120616Z [2022-11-23 01:23:19,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8120874Z [2022-11-23 01:23:19,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8121128Z [2022-11-23 01:23:19,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8121323Z [2022-11-23 01:23:19,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8121464Z  __compiled_fn_74 <eval_with_key>.473 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8121561Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8121654Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8121839Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.8122034Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.8122224Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.8122415Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8122609Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8122748Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.8122754Z 
2022-11-23T01:32:29.8123079Z [2022-11-23 01:23:19,373] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8123179Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8123272Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8123365Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8123465Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8123557Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8123651Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8123732Z              12 RETURN_VALUE
2022-11-23T01:32:29.8123738Z 
2022-11-23T01:32:29.8123803Z  
2022-11-23T01:32:29.8124120Z [2022-11-23 01:23:19,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8124237Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_74)
2022-11-23T01:32:29.8124362Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8124460Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8124542Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8124637Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8124755Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8124836Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8124924Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8125036Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8125145Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8125240Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8125323Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8125432Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8125526Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8125600Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8125710Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8125803Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8125882Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8125993Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8126086Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.8126166Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.8126264Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8126359Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.8126439Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.8126533Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.8126614Z              50 RETURN_VALUE
2022-11-23T01:32:29.8126619Z 
2022-11-23T01:32:29.8126684Z  
2022-11-23T01:32:29.8126873Z [2022-11-23 01:23:19,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8126942Z  - 
2022-11-23T01:32:29.8127066Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8127136Z             {
2022-11-23T01:32:29.8127278Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8127469Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8127597Z                 'obj_weakref': None
2022-11-23T01:32:29.8127822Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8127885Z             }
2022-11-23T01:32:29.8127958Z             
2022-11-23T01:32:29.8128033Z  - 
2022-11-23T01:32:29.8128161Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8128232Z             {
2022-11-23T01:32:29.8128381Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8128492Z                 'code': None,
2022-11-23T01:32:29.8128692Z                 'obj_weakref': <weakref at 0x7f2060186340; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8128944Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8129013Z             }
2022-11-23T01:32:29.8129080Z             
2022-11-23T01:32:29.8129155Z  - 
2022-11-23T01:32:29.8129281Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8129353Z             {
2022-11-23T01:32:29.8129491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8129603Z                 'code': None,
2022-11-23T01:32:29.8129808Z                 'obj_weakref': <weakref at 0x7f2060187d80; to 'Tensor' at 0x7f206078a6b0>
2022-11-23T01:32:29.8130050Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8130119Z             }
2022-11-23T01:32:29.8130187Z             
2022-11-23T01:32:29.8130262Z  - 
2022-11-23T01:32:29.8130391Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8130460Z             {
2022-11-23T01:32:29.8130602Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8130807Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8130933Z                 'obj_weakref': None
2022-11-23T01:32:29.8131164Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8131260Z             }
2022-11-23T01:32:29.8131321Z             
2022-11-23T01:32:29.8131397Z  - 
2022-11-23T01:32:29.8131521Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8131589Z             {
2022-11-23T01:32:29.8131732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8131951Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8132076Z                 'obj_weakref': None
2022-11-23T01:32:29.8132289Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8132358Z             }
2022-11-23T01:32:29.8132428Z             
2022-11-23T01:32:29.8132503Z  - 
2022-11-23T01:32:29.8132645Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8132713Z             {
2022-11-23T01:32:29.8132836Z                 'guard_types': None,
2022-11-23T01:32:29.8132940Z                 'code': None,
2022-11-23T01:32:29.8133066Z                 'obj_weakref': None
2022-11-23T01:32:29.8133192Z                 'guarded_class': None
2022-11-23T01:32:29.8133260Z             }
2022-11-23T01:32:29.8133328Z             
2022-11-23T01:32:29.8133586Z [2022-11-23 01:23:19,389] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73
2022-11-23T01:32:29.8133945Z [2022-11-23 01:23:21,236] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f5/cf5atr6uniz4wdjt66pzwbgmskhxzkujvattrnybaivoh65h6euq.py
2022-11-23T01:32:29.8134206Z [2022-11-23 01:23:21,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73
2022-11-23T01:32:29.8134437Z [2022-11-23 01:23:21,259] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8134753Z [2022-11-23 01:23:21,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8134973Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8135228Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8135501Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8135814Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8136153Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8136471Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8136839Z [2022-11-23 01:23:21,260] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:29.8136945Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8137037Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8137137Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8137232Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8137336Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.8137501Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8137600Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8137606Z 
2022-11-23T01:32:29.8137705Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8137820Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8137917Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8138015Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8138185Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.8138348Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8138448Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8138453Z 
2022-11-23T01:32:29.8138555Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8138654Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8138741Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8139027Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8139179Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.8139342Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8139444Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8139449Z 
2022-11-23T01:32:29.8139544Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8139637Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8139730Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.8139735Z 
2022-11-23T01:32:29.8139821Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8139915Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8140005Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.8140011Z 
2022-11-23T01:32:29.8140106Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:29.8140187Z               56 RETURN_VALUE
2022-11-23T01:32:29.8140251Z  
2022-11-23T01:32:29.8140256Z 
2022-11-23T01:32:29.8140568Z [2022-11-23 01:23:21,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:29.8140790Z [2022-11-23 01:23:21,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8141084Z [2022-11-23 01:23:21,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8141336Z [2022-11-23 01:23:21,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.8141606Z [2022-11-23 01:23:21,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8141908Z [2022-11-23 01:23:21,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8142276Z [2022-11-23 01:23:21,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.8142667Z [2022-11-23 01:23:21,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.8142975Z [2022-11-23 01:23:21,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:29.8143220Z [2022-11-23 01:23:21,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8143544Z [2022-11-23 01:23:21,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8143815Z [2022-11-23 01:23:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8144112Z [2022-11-23 01:23:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8144481Z [2022-11-23 01:23:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8144866Z [2022-11-23 01:23:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8145306Z [2022-11-23 01:23:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8145612Z [2022-11-23 01:23:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:29.8145878Z [2022-11-23 01:23:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8146229Z [2022-11-23 01:23:21,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8146525Z [2022-11-23 01:23:21,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8146852Z [2022-11-23 01:23:21,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8147208Z [2022-11-23 01:23:21,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8147618Z [2022-11-23 01:23:21,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8148056Z [2022-11-23 01:23:21,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8148365Z [2022-11-23 01:23:21,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:29.8148654Z [2022-11-23 01:23:21,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8148960Z [2022-11-23 01:23:21,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8149316Z [2022-11-23 01:23:21,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8149623Z [2022-11-23 01:23:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:29.8149936Z [2022-11-23 01:23:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8150355Z [2022-11-23 01:23:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8150798Z [2022-11-23 01:23:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8151109Z [2022-11-23 01:23:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:29.8151484Z [2022-11-23 01:23:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8151730Z [2022-11-23 01:23:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8152126Z [2022-11-23 01:23:21,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:29.8152369Z [2022-11-23 01:23:21,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8152603Z [2022-11-23 01:23:21,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8152851Z [2022-11-23 01:23:21,294] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8153101Z [2022-11-23 01:23:21,301] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8153299Z [2022-11-23 01:23:21,301] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8153439Z  __compiled_fn_75 <eval_with_key>.479 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8153536Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8153629Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8153820Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.8154015Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.8154202Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.8154394Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8154593Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8154733Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.8154739Z 
2022-11-23T01:32:29.8155068Z [2022-11-23 01:23:21,302] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8155170Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8155270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8155364Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8155456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8155547Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8155640Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8155721Z              12 RETURN_VALUE
2022-11-23T01:32:29.8155726Z 
2022-11-23T01:32:29.8155792Z  
2022-11-23T01:32:29.8156118Z [2022-11-23 01:23:21,302] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8156235Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_75)
2022-11-23T01:32:29.8156333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8156421Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8156504Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8156599Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8156696Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8156778Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8156873Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8156989Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8157091Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8157186Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8157267Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8157376Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8157470Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8157550Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8157696Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8157784Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8157864Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8157995Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8158088Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.8158170Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.8158274Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8158366Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.8158439Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.8158531Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.8158612Z              50 RETURN_VALUE
2022-11-23T01:32:29.8158618Z 
2022-11-23T01:32:29.8158683Z  
2022-11-23T01:32:29.8158876Z [2022-11-23 01:23:21,303] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8158954Z  - 
2022-11-23T01:32:29.8159078Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8159142Z             {
2022-11-23T01:32:29.8159290Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8159479Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8159605Z                 'obj_weakref': None
2022-11-23T01:32:29.8159827Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8159895Z             }
2022-11-23T01:32:29.8159964Z             
2022-11-23T01:32:29.8160032Z  - 
2022-11-23T01:32:29.8160160Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8160229Z             {
2022-11-23T01:32:29.8160375Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8160487Z                 'code': None,
2022-11-23T01:32:29.8160697Z                 'obj_weakref': <weakref at 0x7f2060185ad0; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8160949Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8161018Z             }
2022-11-23T01:32:29.8161079Z             
2022-11-23T01:32:29.8161154Z  - 
2022-11-23T01:32:29.8161280Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8161352Z             {
2022-11-23T01:32:29.8161496Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8161606Z                 'code': None,
2022-11-23T01:32:29.8161803Z                 'obj_weakref': <weakref at 0x7f202338a840; to 'Tensor' at 0x7f206078a6b0>
2022-11-23T01:32:29.8162044Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8162113Z             }
2022-11-23T01:32:29.8162181Z             
2022-11-23T01:32:29.8162258Z  - 
2022-11-23T01:32:29.8162392Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8162461Z             {
2022-11-23T01:32:29.8162591Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8162770Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8162893Z                 'obj_weakref': None
2022-11-23T01:32:29.8163118Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8163190Z             }
2022-11-23T01:32:29.8163258Z             
2022-11-23T01:32:29.8163334Z  - 
2022-11-23T01:32:29.8163451Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8163521Z             {
2022-11-23T01:32:29.8163661Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8163883Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8164005Z                 'obj_weakref': None
2022-11-23T01:32:29.8164227Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8164296Z             }
2022-11-23T01:32:29.8164363Z             
2022-11-23T01:32:29.8164431Z  - 
2022-11-23T01:32:29.8164599Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8164670Z             {
2022-11-23T01:32:29.8164794Z                 'guard_types': None,
2022-11-23T01:32:29.8164905Z                 'code': None,
2022-11-23T01:32:29.8165048Z                 'obj_weakref': None
2022-11-23T01:32:29.8165166Z                 'guarded_class': None
2022-11-23T01:32:29.8165234Z             }
2022-11-23T01:32:29.8165302Z             
2022-11-23T01:32:29.8165561Z [2022-11-23 01:23:21,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74
2022-11-23T01:32:29.8165566Z 
2022-11-23T01:32:29.8165665Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8165740Z import torch
2022-11-23T01:32:29.8165815Z import random
2022-11-23T01:32:29.8165929Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8166057Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8166062Z 
2022-11-23T01:32:29.8166145Z aten = torch.ops.aten
2022-11-23T01:32:29.8166284Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8166382Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8166387Z 
2022-11-23T01:32:29.8166461Z import triton
2022-11-23T01:32:29.8166553Z import triton.language as tl
2022-11-23T01:32:29.8166684Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8166819Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8166825Z 
2022-11-23T01:32:29.8166836Z 
2022-11-23T01:32:29.8166965Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8167175Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8167303Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8167414Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8167518Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8167620Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.8167723Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.8167817Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.8167919Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:29.8167988Z {
2022-11-23T01:32:29.8168091Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8168162Z     {
2022-11-23T01:32:29.8168245Z         #pragma omp for 
2022-11-23T01:32:29.8168335Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.8168396Z         {
2022-11-23T01:32:29.8168538Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8168666Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:29.8168758Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8168849Z             auto tmp3 = tmp2.floor();
2022-11-23T01:32:29.8168938Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:32:29.8169035Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8169126Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8169220Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.8169317Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:32:29.8169410Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:32:29.8169480Z         }
2022-11-23T01:32:29.8169577Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8169666Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.8169727Z         {
2022-11-23T01:32:29.8169817Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8169904Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:29.8169993Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8170091Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:29.8170187Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:29.8170273Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8170352Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.8170436Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.8170553Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:29.8170638Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:29.8170706Z         }
2022-11-23T01:32:29.8170774Z     }
2022-11-23T01:32:29.8170839Z }
2022-11-23T01:32:29.8170943Z ''')
2022-11-23T01:32:29.8170949Z 
2022-11-23T01:32:29.8170953Z 
2022-11-23T01:32:29.8171047Z async_compile.wait(globals())
2022-11-23T01:32:29.8171125Z del async_compile
2022-11-23T01:32:29.8171130Z 
2022-11-23T01:32:29.8171205Z def call(args):
2022-11-23T01:32:29.8171286Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8171362Z     args.clear()
2022-11-23T01:32:29.8171562Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8171751Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8171939Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8172127Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8172314Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8172576Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.8172654Z     del arg0_1
2022-11-23T01:32:29.8172726Z     del arg1_1
2022-11-23T01:32:29.8172827Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.8172832Z 
2022-11-23T01:32:29.8172837Z 
2022-11-23T01:32:29.8172918Z if __name__ == "__main__":
2022-11-23T01:32:29.8173030Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8173159Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8173353Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8173540Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8173663Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8173671Z 
2022-11-23T01:32:29.8173676Z 
2022-11-23T01:32:29.8173776Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8173851Z import torch
2022-11-23T01:32:29.8173919Z import random
2022-11-23T01:32:29.8174042Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8174167Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8174172Z 
2022-11-23T01:32:29.8174255Z aten = torch.ops.aten
2022-11-23T01:32:29.8174394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8174490Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8174495Z 
2022-11-23T01:32:29.8174569Z import triton
2022-11-23T01:32:29.8174662Z import triton.language as tl
2022-11-23T01:32:29.8174782Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8174922Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8174928Z 
2022-11-23T01:32:29.8174932Z 
2022-11-23T01:32:29.8175069Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8175278Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8175404Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8175517Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8175622Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8175725Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.8175821Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.8175921Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.8176021Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:29.8176089Z {
2022-11-23T01:32:29.8176192Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8176260Z     {
2022-11-23T01:32:29.8176343Z         #pragma omp for 
2022-11-23T01:32:29.8176425Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.8176493Z         {
2022-11-23T01:32:29.8176657Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:29.8176796Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.8176911Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8177004Z             auto tmp3 = tmp2.floor();
2022-11-23T01:32:29.8177095Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:32:29.8177184Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8177280Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8177376Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.8177469Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:32:29.8177563Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:32:29.8177632Z         }
2022-11-23T01:32:29.8177730Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8177810Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.8177878Z         {
2022-11-23T01:32:29.8177968Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:29.8178060Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.8178149Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8178246Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:29.8178347Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:29.8178425Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8178509Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:29.8178596Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:29.8178680Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:29.8178765Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:29.8178947Z         }
2022-11-23T01:32:29.8179015Z     }
2022-11-23T01:32:29.8179073Z }
2022-11-23T01:32:29.8179162Z ''')
2022-11-23T01:32:29.8179167Z 
2022-11-23T01:32:29.8179172Z 
2022-11-23T01:32:29.8179265Z async_compile.wait(globals())
2022-11-23T01:32:29.8179343Z del async_compile
2022-11-23T01:32:29.8179349Z 
2022-11-23T01:32:29.8179425Z def call(args):
2022-11-23T01:32:29.8179505Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8179582Z     args.clear()
2022-11-23T01:32:29.8179770Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8179964Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8180154Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8180344Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8180531Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8180786Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.8180861Z     del arg0_1
2022-11-23T01:32:29.8180931Z     del arg1_1
2022-11-23T01:32:29.8181026Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.8181033Z 
2022-11-23T01:32:29.8185104Z 
2022-11-23T01:32:29.8185202Z if __name__ == "__main__":
2022-11-23T01:32:29.8185331Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8185463Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8185670Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8185865Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8185988Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8185993Z 
2022-11-23T01:32:29.8186356Z [2022-11-23 01:23:23,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wg/cwgweugjmasj4lhkrzuocd7eq45dynv5m6rbolbuhb45oopxf5o6.py
2022-11-23T01:32:29.8186624Z [2022-11-23 01:23:23,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74
2022-11-23T01:32:29.8186858Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8187240Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8187464Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8187750Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8188029Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8188346Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8188690Z [2022-11-23 01:23:23,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8189011Z [2022-11-23 01:23:23,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8189376Z [2022-11-23 01:23:23,262] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:29.8189484Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8189576Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8189675Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8189772Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8189873Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:29.8190041Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8190142Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8190148Z 
2022-11-23T01:32:29.8190331Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8190447Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8190549Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8190659Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8190836Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:29.8191027Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8191229Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8191234Z 
2022-11-23T01:32:29.8191333Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8191430Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:29.8191519Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8191615Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8191762Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:29.8191927Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:29.8192028Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:29.8192033Z 
2022-11-23T01:32:29.8192130Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8192225Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8192320Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.8192325Z 
2022-11-23T01:32:29.8192412Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8192510Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8192602Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:29.8192608Z 
2022-11-23T01:32:29.8192704Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:29.8192787Z               56 RETURN_VALUE
2022-11-23T01:32:29.8192854Z  
2022-11-23T01:32:29.8192859Z 
2022-11-23T01:32:29.8193172Z [2022-11-23 01:23:23,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:29.8193425Z [2022-11-23 01:23:23,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8193723Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8194047Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:29.8194321Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8194626Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8194996Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.8195387Z [2022-11-23 01:23:23,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:29.8195698Z [2022-11-23 01:23:23,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:29.8195949Z [2022-11-23 01:23:23,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8196272Z [2022-11-23 01:23:23,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8196544Z [2022-11-23 01:23:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8196840Z [2022-11-23 01:23:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8197168Z [2022-11-23 01:23:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8197551Z [2022-11-23 01:23:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8197964Z [2022-11-23 01:23:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8198271Z [2022-11-23 01:23:23,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:29.8198539Z [2022-11-23 01:23:23,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8198888Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8199185Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:29.8199515Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:29.8199869Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8200279Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.8200750Z [2022-11-23 01:23:23,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.8201080Z [2022-11-23 01:23:23,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:29.8201372Z [2022-11-23 01:23:23,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8201685Z [2022-11-23 01:23:23,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8202035Z [2022-11-23 01:23:23,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8202345Z [2022-11-23 01:23:23,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:29.8202655Z [2022-11-23 01:23:23,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8202997Z [2022-11-23 01:23:23,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8203382Z [2022-11-23 01:23:23,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8203689Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:29.8204033Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8204281Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8204652Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:29.8204900Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8205139Z [2022-11-23 01:23:23,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8205389Z [2022-11-23 01:23:23,295] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8205638Z [2022-11-23 01:23:23,303] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8205834Z [2022-11-23 01:23:23,303] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8205979Z  __compiled_fn_76 <eval_with_key>.485 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8206080Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8206174Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8206364Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:29.8206560Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:29.8206743Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:29.8206937Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8207135Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8207275Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:29.8207281Z 
2022-11-23T01:32:29.8207640Z [2022-11-23 01:23:23,304] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8207746Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8207867Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8207963Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8208057Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8208154Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8208250Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8208333Z              12 RETURN_VALUE
2022-11-23T01:32:29.8208339Z 
2022-11-23T01:32:29.8208409Z  
2022-11-23T01:32:29.8208737Z [2022-11-23 01:23:23,304] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8208855Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_76)
2022-11-23T01:32:29.8208956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8209046Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8209131Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8209226Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8209325Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8209408Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8209504Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8209618Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8209721Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8209816Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8209898Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8210006Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8210102Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8210185Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8210295Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8210382Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8210464Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8210574Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8210673Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.8210755Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.8210864Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8210957Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:29.8211033Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.8211127Z              48 BUILD_TUPLE              5
2022-11-23T01:32:29.8211208Z              50 RETURN_VALUE
2022-11-23T01:32:29.8211214Z 
2022-11-23T01:32:29.8211282Z  
2022-11-23T01:32:29.8211475Z [2022-11-23 01:23:23,305] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8211552Z  - 
2022-11-23T01:32:29.8211679Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8211752Z             {
2022-11-23T01:32:29.8211893Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8212085Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8212213Z                 'obj_weakref': None
2022-11-23T01:32:29.8212440Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8212511Z             }
2022-11-23T01:32:29.8212582Z             
2022-11-23T01:32:29.8212659Z  - 
2022-11-23T01:32:29.8212783Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8212853Z             {
2022-11-23T01:32:29.8213001Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8213114Z                 'code': None,
2022-11-23T01:32:29.8213325Z                 'obj_weakref': <weakref at 0x7f20233b2750; to 'Tensor' at 0x7f20680af1f0>
2022-11-23T01:32:29.8213606Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8213677Z             }
2022-11-23T01:32:29.8213740Z             
2022-11-23T01:32:29.8213817Z  - 
2022-11-23T01:32:29.8213947Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8214046Z             {
2022-11-23T01:32:29.8214191Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8214304Z                 'code': None,
2022-11-23T01:32:29.8214514Z                 'obj_weakref': <weakref at 0x7f20233b2d40; to 'Tensor' at 0x7f2060185b70>
2022-11-23T01:32:29.8214749Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8214819Z             }
2022-11-23T01:32:29.8214889Z             
2022-11-23T01:32:29.8214966Z  - 
2022-11-23T01:32:29.8215101Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8215174Z             {
2022-11-23T01:32:29.8215312Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8215485Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8215614Z                 'obj_weakref': None
2022-11-23T01:32:29.8215847Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8215921Z             }
2022-11-23T01:32:29.8215991Z             
2022-11-23T01:32:29.8216067Z  - 
2022-11-23T01:32:29.8216194Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8216257Z             {
2022-11-23T01:32:29.8216398Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8216626Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8216752Z                 'obj_weakref': None
2022-11-23T01:32:29.8216982Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8217053Z             }
2022-11-23T01:32:29.8217123Z             
2022-11-23T01:32:29.8217191Z  - 
2022-11-23T01:32:29.8217331Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8217403Z             {
2022-11-23T01:32:29.8217529Z                 'guard_types': None,
2022-11-23T01:32:29.8217643Z                 'code': None,
2022-11-23T01:32:29.8217767Z                 'obj_weakref': None
2022-11-23T01:32:29.8217893Z                 'guarded_class': None
2022-11-23T01:32:29.8217963Z             }
2022-11-23T01:32:29.8218032Z             
2022-11-23T01:32:29.8218296Z [2022-11-23 01:23:23,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75
2022-11-23T01:32:29.8218662Z [2022-11-23 01:23:25,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/74/c74zesgpvbpjhs7a7snbcvcip75x574xdfmys2n2vdonsdtpaoxm.py
2022-11-23T01:32:29.8219142Z [2022-11-23 01:23:25,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75
2022-11-23T01:32:29.8219149Z 
2022-11-23T01:32:29.8219252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8219329Z import torch
2022-11-23T01:32:29.8219400Z import random
2022-11-23T01:32:29.8219523Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8219651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8219657Z 
2022-11-23T01:32:29.8219745Z aten = torch.ops.aten
2022-11-23T01:32:29.8219886Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8219985Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8219990Z 
2022-11-23T01:32:29.8220067Z import triton
2022-11-23T01:32:29.8220161Z import triton.language as tl
2022-11-23T01:32:29.8220283Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8220428Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8220433Z 
2022-11-23T01:32:29.8220438Z 
2022-11-23T01:32:29.8220582Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8220794Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8220966Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8221081Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.8221188Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8221325Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.8221418Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.8221522Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.8221624Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.8221691Z {
2022-11-23T01:32:29.8221796Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8221865Z     {
2022-11-23T01:32:29.8221949Z         #pragma omp for 
2022-11-23T01:32:29.8222032Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:29.8222103Z         {
2022-11-23T01:32:29.8222173Z             {
2022-11-23T01:32:29.8222245Z                 {
2022-11-23T01:32:29.8222347Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8222447Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:29.8222557Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.8222674Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:29.8222777Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:29.8223030Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:29.8223127Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:29.8223218Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.8223309Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.8223399Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.8223482Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:29.8223571Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.8223644Z                 }
2022-11-23T01:32:29.8223714Z             }
2022-11-23T01:32:29.8223783Z         }
2022-11-23T01:32:29.8223851Z     }
2022-11-23T01:32:29.8223913Z }
2022-11-23T01:32:29.8223998Z ''')
2022-11-23T01:32:29.8224004Z 
2022-11-23T01:32:29.8224008Z 
2022-11-23T01:32:29.8224104Z async_compile.wait(globals())
2022-11-23T01:32:29.8224187Z del async_compile
2022-11-23T01:32:29.8224193Z 
2022-11-23T01:32:29.8224270Z def call(args):
2022-11-23T01:32:29.8224354Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8224432Z     args.clear()
2022-11-23T01:32:29.8224633Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8224819Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8225010Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8225202Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8225388Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8225658Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.8225735Z     del arg0_1
2022-11-23T01:32:29.8225809Z     del arg1_1
2022-11-23T01:32:29.8225915Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.8225920Z 
2022-11-23T01:32:29.8225925Z 
2022-11-23T01:32:29.8226000Z if __name__ == "__main__":
2022-11-23T01:32:29.8226122Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8226253Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8226444Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8226631Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8226754Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8226759Z 
2022-11-23T01:32:29.8226763Z 
2022-11-23T01:32:29.8226864Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8226940Z import torch
2022-11-23T01:32:29.8227042Z import random
2022-11-23T01:32:29.8227167Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8227293Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8227319Z 
2022-11-23T01:32:29.8227405Z aten = torch.ops.aten
2022-11-23T01:32:29.8227546Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8227645Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8227650Z 
2022-11-23T01:32:29.8227727Z import triton
2022-11-23T01:32:29.8227822Z import triton.language as tl
2022-11-23T01:32:29.8227943Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8228084Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8228090Z 
2022-11-23T01:32:29.8228094Z 
2022-11-23T01:32:29.8228233Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8228445Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8228577Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8228690Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.8228794Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8228900Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:29.8228994Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:29.8229098Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.8229200Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:29.8229268Z {
2022-11-23T01:32:29.8229372Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8229441Z     {
2022-11-23T01:32:29.8229525Z         #pragma omp for 
2022-11-23T01:32:29.8229608Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:29.8229681Z         {
2022-11-23T01:32:29.8229752Z             {
2022-11-23T01:32:29.8229824Z                 {
2022-11-23T01:32:29.8229925Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:29.8230026Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.8230136Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.8230317Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:29.8230434Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:29.8230717Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:29.8230815Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:29.8230909Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.8230999Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:29.8231090Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:29.8231173Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:29.8231263Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:29.8231336Z                 }
2022-11-23T01:32:29.8231406Z             }
2022-11-23T01:32:29.8231475Z         }
2022-11-23T01:32:29.8231546Z     }
2022-11-23T01:32:29.8231605Z }
2022-11-23T01:32:29.8231693Z ''')
2022-11-23T01:32:29.8231699Z 
2022-11-23T01:32:29.8231703Z 
2022-11-23T01:32:29.8231800Z async_compile.wait(globals())
2022-11-23T01:32:29.8231883Z del async_compile
2022-11-23T01:32:29.8231889Z 
2022-11-23T01:32:29.8231966Z def call(args):
2022-11-23T01:32:29.8232048Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8232126Z     args.clear()
2022-11-23T01:32:29.8232329Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8232513Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8232703Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8232895Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8233085Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8233389Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.8233468Z     del arg0_1
2022-11-23T01:32:29.8233565Z     del arg1_1
2022-11-23T01:32:29.8233670Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.8233675Z 
2022-11-23T01:32:29.8233680Z 
2022-11-23T01:32:29.8233755Z if __name__ == "__main__":
2022-11-23T01:32:29.8233880Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8234009Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8234196Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8234391Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8234513Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8234518Z 
2022-11-23T01:32:29.8234591Z ok (7.738s)
2022-11-23T01:32:29.8235110Z   test_dropout_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:29.8235195Z   warnings.warn(
2022-11-23T01:32:29.8235430Z [2022-11-23 01:23:25,267] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1
2022-11-23T01:32:29.8235751Z [2022-11-23 01:23:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3825
2022-11-23T01:32:29.8235977Z [2022-11-23 01:23:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8236341Z [2022-11-23 01:23:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8236722Z [2022-11-23 01:23:25,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:29.8237125Z [2022-11-23 01:23:25,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8237423Z [2022-11-23 01:23:25,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:29.8237746Z [2022-11-23 01:23:25,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:29.8237997Z [2022-11-23 01:23:25,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8238235Z [2022-11-23 01:23:25,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1
2022-11-23T01:32:29.8238473Z [2022-11-23 01:23:25,272] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.8238715Z [2022-11-23 01:23:25,277] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.8238912Z [2022-11-23 01:23:25,277] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8239053Z  __compiled_fn_77 <eval_with_key>.491 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8239144Z placeholder, a, a, (), {}
2022-11-23T01:32:29.8239300Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a,), {}
2022-11-23T01:32:29.8239418Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:29.8239423Z 
2022-11-23T01:32:29.8239748Z [2022-11-23 01:23:25,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:29.8239853Z 3825           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8239973Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.8240091Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.8240196Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:29.8240320Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8240415Z               10 CALL_METHOD              1
2022-11-23T01:32:29.8240497Z               12 RETURN_VALUE
2022-11-23T01:32:29.8240502Z 
2022-11-23T01:32:29.8240571Z  
2022-11-23T01:32:29.8240888Z [2022-11-23 01:23:25,278] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:29.8241005Z 3823           0 LOAD_GLOBAL              4 (__compiled_fn_77)
2022-11-23T01:32:29.8241102Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8241200Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.8241299Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8241384Z                8 RETURN_VALUE
2022-11-23T01:32:29.8241389Z 
2022-11-23T01:32:29.8241456Z  
2022-11-23T01:32:29.8241643Z [2022-11-23 01:23:25,278] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8241716Z  - 
2022-11-23T01:32:29.8241841Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.8241911Z             {
2022-11-23T01:32:29.8242059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8242173Z                 'code': None,
2022-11-23T01:32:29.8242385Z                 'obj_weakref': <weakref at 0x7f20233b2a20; to 'Tensor' at 0x7f2023396980>
2022-11-23T01:32:29.8242643Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8242707Z             }
2022-11-23T01:32:29.8242778Z             
2022-11-23T01:32:29.8242854Z  - 
2022-11-23T01:32:29.8242994Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8243066Z             {
2022-11-23T01:32:29.8243191Z                 'guard_types': None,
2022-11-23T01:32:29.8243306Z                 'code': None,
2022-11-23T01:32:29.8243423Z                 'obj_weakref': None
2022-11-23T01:32:29.8243550Z                 'guarded_class': None
2022-11-23T01:32:29.8243623Z             }
2022-11-23T01:32:29.8243692Z             
2022-11-23T01:32:29.8243954Z [2022-11-23 01:23:25,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76
2022-11-23T01:32:29.8244213Z [2022-11-23 01:23:25,290] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:29.8244572Z [2022-11-23 01:23:26,943] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d2/cd224cvsgd5kbvoyrd6aw5o56gk4p3nws7swx6yss2nc3b5pkcqr.py
2022-11-23T01:32:29.8244837Z [2022-11-23 01:23:26,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76
2022-11-23T01:32:29.8245068Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2
2022-11-23T01:32:29.8245385Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3837
2022-11-23T01:32:29.8245606Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8245965Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8246339Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:29.8246734Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8247053Z [2022-11-23 01:23:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:29.8247370Z [2022-11-23 01:23:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:29.8247753Z [2022-11-23 01:23:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8248140Z [2022-11-23 01:23:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:29.8248390Z [2022-11-23 01:23:26,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8248620Z [2022-11-23 01:23:26,961] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2
2022-11-23T01:32:29.8248866Z [2022-11-23 01:23:26,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.8249105Z [2022-11-23 01:23:26,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.8249303Z [2022-11-23 01:23:26,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8249448Z  __compiled_fn_78 <eval_with_key>.497 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8249537Z placeholder, a, a, (), {}
2022-11-23T01:32:29.8249702Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.5, True), {}
2022-11-23T01:32:29.8249821Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:29.8249826Z 
2022-11-23T01:32:29.8250153Z [2022-11-23 01:23:26,965] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:29.8250250Z 3837           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8250351Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.8250462Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.8250568Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:29.8250668Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8250767Z               10 LOAD_CONST               1 (0.5)
2022-11-23T01:32:29.8250867Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:29.8250955Z               14 CALL_METHOD              3
2022-11-23T01:32:29.8251038Z               16 RETURN_VALUE
2022-11-23T01:32:29.8251043Z 
2022-11-23T01:32:29.8251111Z  
2022-11-23T01:32:29.8251437Z [2022-11-23 01:23:26,965] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:29.8251555Z 3835           0 LOAD_GLOBAL              4 (__compiled_fn_78)
2022-11-23T01:32:29.8251653Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8251750Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.8251849Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8251925Z                8 RETURN_VALUE
2022-11-23T01:32:29.8251933Z 
2022-11-23T01:32:29.8252000Z  
2022-11-23T01:32:29.8252187Z [2022-11-23 01:23:26,965] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8252264Z  - 
2022-11-23T01:32:29.8252393Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.8252463Z             {
2022-11-23T01:32:29.8252609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8252715Z                 'code': None,
2022-11-23T01:32:29.8252927Z                 'obj_weakref': <weakref at 0x7f20233b2a20; to 'Tensor' at 0x7f2023396980>
2022-11-23T01:32:29.8253181Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8253254Z             }
2022-11-23T01:32:29.8253324Z             
2022-11-23T01:32:29.8253440Z  - 
2022-11-23T01:32:29.8253582Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8253645Z             {
2022-11-23T01:32:29.8253773Z                 'guard_types': None,
2022-11-23T01:32:29.8253911Z                 'code': None,
2022-11-23T01:32:29.8254038Z                 'obj_weakref': None
2022-11-23T01:32:29.8254164Z                 'guarded_class': None
2022-11-23T01:32:29.8254236Z             }
2022-11-23T01:32:29.8254304Z             
2022-11-23T01:32:29.8254554Z [2022-11-23 01:23:26,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77
2022-11-23T01:32:29.8254808Z [2022-11-23 01:23:26,974] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:29.8255162Z [2022-11-23 01:23:26,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d2/cd224cvsgd5kbvoyrd6aw5o56gk4p3nws7swx6yss2nc3b5pkcqr.py
2022-11-23T01:32:29.8255429Z [2022-11-23 01:23:26,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77
2022-11-23T01:32:29.8255435Z 
2022-11-23T01:32:29.8255535Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8255611Z import torch
2022-11-23T01:32:29.8255692Z import random
2022-11-23T01:32:29.8255814Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8255933Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8255939Z 
2022-11-23T01:32:29.8256022Z aten = torch.ops.aten
2022-11-23T01:32:29.8256162Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8256261Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8256266Z 
2022-11-23T01:32:29.8256343Z import triton
2022-11-23T01:32:29.8256438Z import triton.language as tl
2022-11-23T01:32:29.8256566Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8256710Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8256876Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:29.8256882Z 
2022-11-23T01:32:29.8256894Z 
2022-11-23T01:32:29.8257027Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8257242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8257369Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:29.8257484Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8257592Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8257660Z {
2022-11-23T01:32:29.8257763Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8257824Z     {
2022-11-23T01:32:29.8257907Z         #pragma omp for 
2022-11-23T01:32:29.8257998Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:32:29.8258068Z         {
2022-11-23T01:32:29.8258138Z             {
2022-11-23T01:32:29.8258210Z                 {
2022-11-23T01:32:29.8258298Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:29.8258400Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:29.8258509Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:29.8258658Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:29.8258774Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:29.8259112Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:29.8259228Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:29.8259328Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:29.8259434Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:29.8259532Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.8259626Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.8259698Z                 }
2022-11-23T01:32:29.8259769Z             }
2022-11-23T01:32:29.8259839Z         }
2022-11-23T01:32:29.8259900Z     }
2022-11-23T01:32:29.8259966Z }
2022-11-23T01:32:29.8260058Z ''')
2022-11-23T01:32:29.8260116Z 
2022-11-23T01:32:29.8260121Z 
2022-11-23T01:32:29.8260218Z async_compile.wait(globals())
2022-11-23T01:32:29.8260297Z del async_compile
2022-11-23T01:32:29.8260302Z 
2022-11-23T01:32:29.8260408Z def call(args):
2022-11-23T01:32:29.8260487Z     arg0_1, = args
2022-11-23T01:32:29.8260564Z     args.clear()
2022-11-23T01:32:29.8260697Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:29.8260902Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8261084Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8261159Z     del arg0_1
2022-11-23T01:32:29.8261238Z     return (buf0, )
2022-11-23T01:32:29.8261244Z 
2022-11-23T01:32:29.8261248Z 
2022-11-23T01:32:29.8261331Z if __name__ == "__main__":
2022-11-23T01:32:29.8261452Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8261583Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8261777Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8261978Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8262096Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8262102Z 
2022-11-23T01:32:29.8262106Z 
2022-11-23T01:32:29.8262232Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8262310Z import torch
2022-11-23T01:32:29.8262406Z import random
2022-11-23T01:32:29.8262531Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8262651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8262665Z 
2022-11-23T01:32:29.8262741Z aten = torch.ops.aten
2022-11-23T01:32:29.8262883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8262982Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8262987Z 
2022-11-23T01:32:29.8263062Z import triton
2022-11-23T01:32:29.8263159Z import triton.language as tl
2022-11-23T01:32:29.8263287Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8263428Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8263593Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:29.8263598Z 
2022-11-23T01:32:29.8263609Z 
2022-11-23T01:32:29.8263740Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8263949Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8264074Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:29.8264188Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8264295Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8264362Z {
2022-11-23T01:32:29.8264466Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8264527Z     {
2022-11-23T01:32:29.8264611Z         #pragma omp for 
2022-11-23T01:32:29.8264704Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:32:29.8264775Z         {
2022-11-23T01:32:29.8264844Z             {
2022-11-23T01:32:29.8264915Z                 {
2022-11-23T01:32:29.8265004Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:29.8265102Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:29.8265211Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:29.8265357Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:29.8265470Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:29.8265567Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:29.8265682Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:29.8265778Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:29.8265884Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:29.8265981Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.8266103Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.8266176Z                 }
2022-11-23T01:32:29.8266245Z             }
2022-11-23T01:32:29.8266313Z         }
2022-11-23T01:32:29.8266406Z     }
2022-11-23T01:32:29.8266466Z }
2022-11-23T01:32:29.8266553Z ''')
2022-11-23T01:32:29.8266559Z 
2022-11-23T01:32:29.8266563Z 
2022-11-23T01:32:29.8266659Z async_compile.wait(globals())
2022-11-23T01:32:29.8266738Z del async_compile
2022-11-23T01:32:29.8266743Z 
2022-11-23T01:32:29.8266821Z def call(args):
2022-11-23T01:32:29.8266896Z     arg0_1, = args
2022-11-23T01:32:29.8266973Z     args.clear()
2022-11-23T01:32:29.8267108Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:29.8267313Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8267495Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8267574Z     del arg0_1
2022-11-23T01:32:29.8267655Z     return (buf0, )
2022-11-23T01:32:29.8267660Z 
2022-11-23T01:32:29.8267664Z 
2022-11-23T01:32:29.8267747Z if __name__ == "__main__":
2022-11-23T01:32:29.8267867Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8267998Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8268186Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8268386Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8268500Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8268505Z 
2022-11-23T01:32:29.8268582Z ok (1.721s)
2022-11-23T01:32:29.8268909Z   test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:23:26,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.8269232Z [2022-11-23 01:23:26,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:32:29.8269451Z [2022-11-23 01:23:26,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8269808Z [2022-11-23 01:23:26,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8270193Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:29.8270720Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8271005Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:29.8271322Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:29.8271676Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8272118Z [2022-11-23 01:23:26,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:29.8272365Z [2022-11-23 01:23:26,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8272599Z [2022-11-23 01:23:26,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.8272845Z [2022-11-23 01:23:26,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.8273115Z [2022-11-23 01:23:26,993] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.8273316Z [2022-11-23 01:23:26,994] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8273481Z  __compiled_fn_79 <eval_with_key>.503 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8273562Z placeholder, a, a, (), {}
2022-11-23T01:32:29.8273726Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.55, True), {}
2022-11-23T01:32:29.8273845Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:29.8273850Z 
2022-11-23T01:32:29.8274181Z [2022-11-23 01:23:26,994] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:29.8274285Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8274383Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.8274495Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.8274603Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:29.8274694Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8274794Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:29.8274896Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:29.8274993Z               14 CALL_METHOD              3
2022-11-23T01:32:29.8275076Z               16 RETURN_VALUE
2022-11-23T01:32:29.8275081Z 
2022-11-23T01:32:29.8275148Z  
2022-11-23T01:32:29.8275471Z [2022-11-23 01:23:26,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:29.8275589Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_79)
2022-11-23T01:32:29.8275679Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8275778Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.8275877Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8275963Z                8 RETURN_VALUE
2022-11-23T01:32:29.8275969Z 
2022-11-23T01:32:29.8276035Z  
2022-11-23T01:32:29.8276222Z [2022-11-23 01:23:26,994] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8276304Z  - 
2022-11-23T01:32:29.8276422Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.8276491Z             {
2022-11-23T01:32:29.8276637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8276750Z                 'code': None,
2022-11-23T01:32:29.8276959Z                 'obj_weakref': <weakref at 0x7f2023394d60; to 'Tensor' at 0x7f20607376f0>
2022-11-23T01:32:29.8277211Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8277282Z             }
2022-11-23T01:32:29.8277345Z             
2022-11-23T01:32:29.8277421Z  - 
2022-11-23T01:32:29.8277558Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8277628Z             {
2022-11-23T01:32:29.8277757Z                 'guard_types': None,
2022-11-23T01:32:29.8277869Z                 'code': None,
2022-11-23T01:32:29.8277992Z                 'obj_weakref': None
2022-11-23T01:32:29.8278110Z                 'guarded_class': None
2022-11-23T01:32:29.8278182Z             }
2022-11-23T01:32:29.8278251Z             
2022-11-23T01:32:29.8278510Z [2022-11-23 01:23:27,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78
2022-11-23T01:32:29.8278767Z [2022-11-23 01:23:27,003] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:29.8279126Z [2022-11-23 01:23:28,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ep/cep4p7kzc6ufqwr2npu4pwa5pup4qqrut2f3ssgnek2rqf5nu3p6.py
2022-11-23T01:32:29.8279384Z [2022-11-23 01:23:28,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78
2022-11-23T01:32:29.8279654Z [2022-11-23 01:23:28,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.8279958Z [2022-11-23 01:23:28,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:32:29.8280206Z [2022-11-23 01:23:28,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8280567Z [2022-11-23 01:23:28,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8280947Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:29.8281349Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8281640Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:29.8281953Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:29.8282314Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8282700Z [2022-11-23 01:23:28,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:29.8282946Z [2022-11-23 01:23:28,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8283184Z [2022-11-23 01:23:28,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.8283420Z [2022-11-23 01:23:28,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.8283657Z [2022-11-23 01:23:28,594] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.8283856Z [2022-11-23 01:23:28,594] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8283998Z  __compiled_fn_80 <eval_with_key>.509 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8284088Z placeholder, a, a, (), {}
2022-11-23T01:32:29.8284252Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.55, True), {}
2022-11-23T01:32:29.8284371Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:29.8284377Z 
2022-11-23T01:32:29.8284707Z [2022-11-23 01:23:28,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:29.8284816Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8284907Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.8285018Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.8285126Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:29.8285225Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8285325Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:29.8285425Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:29.8285520Z               14 CALL_METHOD              3
2022-11-23T01:32:29.8285596Z               16 RETURN_VALUE
2022-11-23T01:32:29.8285608Z 
2022-11-23T01:32:29.8285668Z  
2022-11-23T01:32:29.8285998Z [2022-11-23 01:23:28,595] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:29.8286115Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_80)
2022-11-23T01:32:29.8286239Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8286339Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.8286438Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8286545Z                8 RETURN_VALUE
2022-11-23T01:32:29.8286550Z 
2022-11-23T01:32:29.8286609Z  
2022-11-23T01:32:29.8286799Z [2022-11-23 01:23:28,595] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8286878Z  - 
2022-11-23T01:32:29.8287005Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.8287076Z             {
2022-11-23T01:32:29.8287224Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8287336Z                 'code': None,
2022-11-23T01:32:29.8287546Z                 'obj_weakref': <weakref at 0x7f20233b1d50; to 'Tensor' at 0x7f202333a930>
2022-11-23T01:32:29.8287800Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8287871Z             }
2022-11-23T01:32:29.8287942Z             
2022-11-23T01:32:29.8288020Z  - 
2022-11-23T01:32:29.8288160Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8288232Z             {
2022-11-23T01:32:29.8288352Z                 'guard_types': None,
2022-11-23T01:32:29.8288468Z                 'code': None,
2022-11-23T01:32:29.8288594Z                 'obj_weakref': None
2022-11-23T01:32:29.8288721Z                 'guarded_class': None
2022-11-23T01:32:29.8288789Z             }
2022-11-23T01:32:29.8288858Z             
2022-11-23T01:32:29.8289119Z [2022-11-23 01:23:28,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79
2022-11-23T01:32:29.8289371Z [2022-11-23 01:23:28,603] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:29.8289737Z [2022-11-23 01:23:28,611] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ep/cep4p7kzc6ufqwr2npu4pwa5pup4qqrut2f3ssgnek2rqf5nu3p6.py
2022-11-23T01:32:29.8290008Z [2022-11-23 01:23:28,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79
2022-11-23T01:32:29.8290014Z 
2022-11-23T01:32:29.8290116Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8290193Z import torch
2022-11-23T01:32:29.8290273Z import random
2022-11-23T01:32:29.8290395Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8290519Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8290524Z 
2022-11-23T01:32:29.8290601Z aten = torch.ops.aten
2022-11-23T01:32:29.8290741Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8290840Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8290845Z 
2022-11-23T01:32:29.8290921Z import triton
2022-11-23T01:32:29.8291015Z import triton.language as tl
2022-11-23T01:32:29.8291145Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8291291Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8291463Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:29.8291468Z 
2022-11-23T01:32:29.8291473Z 
2022-11-23T01:32:29.8291605Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8291818Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8291941Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:29.8292056Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8292163Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8292231Z {
2022-11-23T01:32:29.8292335Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8292404Z     {
2022-11-23T01:32:29.8292481Z         #pragma omp for 
2022-11-23T01:32:29.8292571Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.8292643Z         {
2022-11-23T01:32:29.8292713Z             {
2022-11-23T01:32:29.8292784Z                 {
2022-11-23T01:32:29.8292878Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:29.8293001Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:29.8293111Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:29.8293258Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:29.8293402Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:32:29.8293501Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:29.8293616Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:29.8293714Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:29.8293837Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:32:29.8293927Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.8294020Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.8294093Z                 }
2022-11-23T01:32:29.8294164Z             }
2022-11-23T01:32:29.8294233Z         }
2022-11-23T01:32:29.8294301Z     }
2022-11-23T01:32:29.8294361Z }
2022-11-23T01:32:29.8294451Z ''')
2022-11-23T01:32:29.8294457Z 
2022-11-23T01:32:29.8294461Z 
2022-11-23T01:32:29.8294556Z async_compile.wait(globals())
2022-11-23T01:32:29.8294634Z del async_compile
2022-11-23T01:32:29.8294642Z 
2022-11-23T01:32:29.8294719Z def call(args):
2022-11-23T01:32:29.8294795Z     arg0_1, = args
2022-11-23T01:32:29.8294873Z     args.clear()
2022-11-23T01:32:29.8295014Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:29.8295208Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8295390Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8295465Z     del arg0_1
2022-11-23T01:32:29.8295542Z     return (buf0, )
2022-11-23T01:32:29.8295548Z 
2022-11-23T01:32:29.8295552Z 
2022-11-23T01:32:29.8295636Z if __name__ == "__main__":
2022-11-23T01:32:29.8295756Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8295889Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8296088Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8296284Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8296403Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8296408Z 
2022-11-23T01:32:29.8296412Z 
2022-11-23T01:32:29.8296512Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8296589Z import torch
2022-11-23T01:32:29.8296665Z import random
2022-11-23T01:32:29.8296785Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8296913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8296918Z 
2022-11-23T01:32:29.8297003Z aten = torch.ops.aten
2022-11-23T01:32:29.8297135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8297233Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8297238Z 
2022-11-23T01:32:29.8297317Z import triton
2022-11-23T01:32:29.8297412Z import triton.language as tl
2022-11-23T01:32:29.8297538Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8297681Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8297852Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:29.8297857Z 
2022-11-23T01:32:29.8297862Z 
2022-11-23T01:32:29.8298001Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8298204Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8298328Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:29.8298443Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8298549Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8298618Z {
2022-11-23T01:32:29.8298722Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8298789Z     {
2022-11-23T01:32:29.8299091Z         #pragma omp for 
2022-11-23T01:32:29.8299187Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.8299256Z         {
2022-11-23T01:32:29.8299326Z             {
2022-11-23T01:32:29.8299426Z                 {
2022-11-23T01:32:29.8299523Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:29.8299622Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:29.8299724Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:29.8299869Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:29.8299981Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:32:29.8300079Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:29.8300193Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:29.8300292Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:29.8300416Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:32:29.8300509Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:29.8300602Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.8300674Z                 }
2022-11-23T01:32:29.8300745Z             }
2022-11-23T01:32:29.8300820Z         }
2022-11-23T01:32:29.8300892Z     }
2022-11-23T01:32:29.8300959Z }
2022-11-23T01:32:29.8301042Z ''')
2022-11-23T01:32:29.8301047Z 
2022-11-23T01:32:29.8301052Z 
2022-11-23T01:32:29.8301149Z async_compile.wait(globals())
2022-11-23T01:32:29.8301231Z del async_compile
2022-11-23T01:32:29.8301236Z 
2022-11-23T01:32:29.8301313Z def call(args):
2022-11-23T01:32:29.8301389Z     arg0_1, = args
2022-11-23T01:32:29.8301465Z     args.clear()
2022-11-23T01:32:29.8301606Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:29.8301802Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8301982Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8302061Z     del arg0_1
2022-11-23T01:32:29.8302139Z     return (buf0, )
2022-11-23T01:32:29.8302144Z 
2022-11-23T01:32:29.8302149Z 
2022-11-23T01:32:29.8302233Z if __name__ == "__main__":
2022-11-23T01:32:29.8302357Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8302489Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8302686Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8302879Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8302996Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8303002Z 
2022-11-23T01:32:29.8303075Z ok (1.629s)
2022-11-23T01:32:29.8303401Z   test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:23:28,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.8303721Z [2022-11-23 01:23:28,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4613
2022-11-23T01:32:29.8303943Z [2022-11-23 01:23:28,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8304304Z [2022-11-23 01:23:28,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8304680Z [2022-11-23 01:23:28,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:29.8305072Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8305347Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in function pad>)]
2022-11-23T01:32:29.8305674Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), TensorVariable()]
2022-11-23T01:32:29.8306011Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8306403Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8306732Z [2022-11-23 01:23:28,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.8306982Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()]
2022-11-23T01:32:29.8307292Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4614
2022-11-23T01:32:29.8307508Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn []
2022-11-23T01:32:29.8307761Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()]
2022-11-23T01:32:29.8308042Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)]
2022-11-23T01:32:29.8308361Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)]
2022-11-23T01:32:29.8308721Z [2022-11-23 01:23:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:29.8308958Z [2022-11-23 01:23:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8309196Z [2022-11-23 01:23:28,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.8309444Z [2022-11-23 01:23:28,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.8309694Z [2022-11-23 01:23:28,628] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.8309892Z [2022-11-23 01:23:28,628] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8310034Z  __compiled_fn_81 <eval_with_key>.515 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8310123Z placeholder, x, x, (), {}
2022-11-23T01:32:29.8310376Z call_function, pad, <built-in function pad>, (x, [0, 1]), {}
2022-11-23T01:32:29.8310554Z call_method, softmax, softmax, (pad,), {'dim': -1}
2022-11-23T01:32:29.8310678Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:29.8310684Z 
2022-11-23T01:32:29.8311048Z [2022-11-23 01:23:28,628] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:29.8311152Z 4613           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8311254Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.8311369Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.8311471Z                6 LOAD_METHOD              3 (pad)
2022-11-23T01:32:29.8311571Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8311661Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8311762Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8311859Z               14 BUILD_LIST               2
2022-11-23T01:32:29.8311954Z               16 CALL_METHOD              2
2022-11-23T01:32:29.8312056Z               18 STORE_FAST               1 (attn)
2022-11-23T01:32:29.8312061Z 
2022-11-23T01:32:29.8312159Z 4614          20 LOAD_FAST                1 (attn)
2022-11-23T01:32:29.8312294Z               22 LOAD_ATTR                4 (softmax)
2022-11-23T01:32:29.8312439Z               24 LOAD_CONST               3 (-1)
2022-11-23T01:32:29.8312583Z               26 LOAD_CONST               4 (('dim',))
2022-11-23T01:32:29.8312705Z               28 CALL_FUNCTION_KW         1
2022-11-23T01:32:29.8312788Z               30 RETURN_VALUE
2022-11-23T01:32:29.8312793Z 
2022-11-23T01:32:29.8312861Z  
2022-11-23T01:32:29.8313189Z [2022-11-23 01:23:28,628] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:29.8313306Z 4612           0 LOAD_GLOBAL              5 (__compiled_fn_81)
2022-11-23T01:32:29.8313403Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8313500Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.8313592Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8313676Z                8 RETURN_VALUE
2022-11-23T01:32:29.8313681Z 
2022-11-23T01:32:29.8313749Z  
2022-11-23T01:32:29.8313943Z [2022-11-23 01:23:28,629] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8314022Z  - 
2022-11-23T01:32:29.8314147Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.8314219Z             {
2022-11-23T01:32:29.8314359Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8314472Z                 'code': None,
2022-11-23T01:32:29.8314687Z                 'obj_weakref': <weakref at 0x7f20233e7dd0; to 'Tensor' at 0x7f20233cbc90>
2022-11-23T01:32:29.8314936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8315008Z             }
2022-11-23T01:32:29.8315080Z             
2022-11-23T01:32:29.8315158Z  - 
2022-11-23T01:32:29.8315289Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8315359Z             {
2022-11-23T01:32:29.8315486Z                 'guard_types': None,
2022-11-23T01:32:29.8315601Z                 'code': None,
2022-11-23T01:32:29.8315729Z                 'obj_weakref': None
2022-11-23T01:32:29.8315856Z                 'guarded_class': None
2022-11-23T01:32:29.8315927Z             }
2022-11-23T01:32:29.8315990Z             
2022-11-23T01:32:29.8316250Z [2022-11-23 01:23:28,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80
2022-11-23T01:32:29.8316611Z [2022-11-23 01:23:30,355] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/47/c47psyxbna5vehwua6vukjqxzy6hahgemwhvj56hyyn2zsvvwrju.py
2022-11-23T01:32:29.8316877Z [2022-11-23 01:23:30,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80
2022-11-23T01:32:29.8316883Z 
2022-11-23T01:32:29.8316984Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8317060Z import torch
2022-11-23T01:32:29.8317136Z import random
2022-11-23T01:32:29.8317250Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8317378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8317383Z 
2022-11-23T01:32:29.8317471Z aten = torch.ops.aten
2022-11-23T01:32:29.8317614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8317716Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8317725Z 
2022-11-23T01:32:29.8317801Z import triton
2022-11-23T01:32:29.8317895Z import triton.language as tl
2022-11-23T01:32:29.8318022Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8318159Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8318165Z 
2022-11-23T01:32:29.8318177Z 
2022-11-23T01:32:29.8318308Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8318517Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8318642Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.8318755Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8318861Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8318995Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.8319063Z {
2022-11-23T01:32:29.8319150Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:29.8319255Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8319349Z     {
2022-11-23T01:32:29.8319431Z         #pragma omp for 
2022-11-23T01:32:29.8319521Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:29.8319590Z         {
2022-11-23T01:32:29.8319660Z             {
2022-11-23T01:32:29.8319723Z                 {
2022-11-23T01:32:29.8319982Z                     float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.8320083Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.8320157Z                     {
2022-11-23T01:32:29.8320232Z                         {
2022-11-23T01:32:29.8320350Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:29.8320465Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:29.8320562Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.8320659Z                             float tmp3 = 0.0;
2022-11-23T01:32:29.8320742Z                             if(tmp2)
2022-11-23T01:32:29.8320822Z                             {
2022-11-23T01:32:29.8320941Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:29.8321036Z                                 tmp3 = tmp4;
2022-11-23T01:32:29.8321117Z                             }
2022-11-23T01:32:29.8321223Z                             tmp5 = std::max(tmp5, tmp3);
2022-11-23T01:32:29.8321297Z                         }
2022-11-23T01:32:29.8321369Z                     }
2022-11-23T01:32:29.8321462Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:29.8321533Z                 }
2022-11-23T01:32:29.8321604Z             }
2022-11-23T01:32:29.8321671Z         }
2022-11-23T01:32:29.8321748Z         #pragma omp for 
2022-11-23T01:32:29.8321836Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:29.8321906Z         {
2022-11-23T01:32:29.8321976Z             {
2022-11-23T01:32:29.8322047Z                 {
2022-11-23T01:32:29.8322136Z                     float tmp8 = 0;
2022-11-23T01:32:29.8322227Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.8322307Z                     {
2022-11-23T01:32:29.8322382Z                         {
2022-11-23T01:32:29.8322487Z                             auto tmp5 = out_ptr0[i0];
2022-11-23T01:32:29.8322600Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:29.8322715Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:29.8322819Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:29.8322914Z                             float tmp3 = 0.0;
2022-11-23T01:32:29.8322990Z                             if(tmp2)
2022-11-23T01:32:29.8323067Z                             {
2022-11-23T01:32:29.8323179Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:29.8323275Z                                 tmp3 = tmp4;
2022-11-23T01:32:29.8323352Z                             }
2022-11-23T01:32:29.8323504Z                             auto tmp6 = tmp3 - tmp5;
2022-11-23T01:32:29.8323618Z                             auto tmp7 = std::exp(tmp6);
2022-11-23T01:32:29.8323718Z                             out_ptr1[i1 + (64*i0)] = tmp7;
2022-11-23T01:32:29.8323808Z                             tmp8 += tmp7;
2022-11-23T01:32:29.8323883Z                         }
2022-11-23T01:32:29.8323957Z                     }
2022-11-23T01:32:29.8324049Z                     out_ptr2[i0] = tmp8;
2022-11-23T01:32:29.8324120Z                 }
2022-11-23T01:32:29.8324191Z             }
2022-11-23T01:32:29.8324254Z         }
2022-11-23T01:32:29.8324336Z         #pragma omp for 
2022-11-23T01:32:29.8324429Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:29.8324498Z         {
2022-11-23T01:32:29.8324589Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:29.8324659Z             {
2022-11-23T01:32:29.8324843Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (64*i0));
2022-11-23T01:32:29.8324978Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:29.8325100Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8325217Z                 tmp2.store(in_out_ptr0 + (8*i1) + (64*i0));
2022-11-23T01:32:29.8325287Z             }
2022-11-23T01:32:29.8325388Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.8325480Z             for(long i1=64; i1<64; i1+=1)
2022-11-23T01:32:29.8325551Z             {
2022-11-23T01:32:29.8325648Z                 auto tmp0 = out_ptr1[i1 + (64*i0)];
2022-11-23T01:32:29.8325742Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:29.8325835Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:29.8325937Z                 in_out_ptr0[i1 + (64*i0)] = tmp2;
2022-11-23T01:32:29.8326007Z             }
2022-11-23T01:32:29.8326080Z         }
2022-11-23T01:32:29.8326147Z     }
2022-11-23T01:32:29.8326209Z }
2022-11-23T01:32:29.8326297Z ''')
2022-11-23T01:32:29.8326303Z 
2022-11-23T01:32:29.8326308Z 
2022-11-23T01:32:29.8326406Z async_compile.wait(globals())
2022-11-23T01:32:29.8326485Z del async_compile
2022-11-23T01:32:29.8326494Z 
2022-11-23T01:32:29.8326572Z def call(args):
2022-11-23T01:32:29.8326649Z     arg0_1, = args
2022-11-23T01:32:29.8326731Z     args.clear()
2022-11-23T01:32:29.8326938Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8327149Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8327361Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8327454Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:29.8327649Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.8327724Z     del arg0_1
2022-11-23T01:32:29.8327806Z     return (buf3, )
2022-11-23T01:32:29.8327811Z 
2022-11-23T01:32:29.8327816Z 
2022-11-23T01:32:29.8327899Z if __name__ == "__main__":
2022-11-23T01:32:29.8328011Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8328145Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8328362Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8328477Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8328482Z 
2022-11-23T01:32:29.8328556Z ok (1.775s)
2022-11-23T01:32:29.8328859Z   test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8329178Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8329404Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8329663Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8329938Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8330263Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8330611Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8330936Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8331347Z [2022-11-23 01:23:30,392] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105> 
2022-11-23T01:32:29.8331452Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8331552Z                2 LOAD_METHOD              1 (elu)
2022-11-23T01:32:29.8331676Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8331786Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T01:32:29.8331887Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T01:32:29.8331982Z               10 CALL_METHOD              3
2022-11-23T01:32:29.8332080Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8332161Z               14 BINARY_ADD
2022-11-23T01:32:29.8332263Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8332362Z               18 LOAD_METHOD              1 (elu)
2022-11-23T01:32:29.8332367Z 
2022-11-23T01:32:29.8332465Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8332558Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:29.8332639Z               24 BINARY_ADD
2022-11-23T01:32:29.8332734Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8332828Z               28 LOAD_CONST               5 (3)
2022-11-23T01:32:29.8332927Z               30 LOAD_CONST               6 (4)
2022-11-23T01:32:29.8332933Z 
2022-11-23T01:32:29.8333030Z 2106          32 CALL_METHOD              4
2022-11-23T01:32:29.8333125Z               34 BUILD_TUPLE              2
2022-11-23T01:32:29.8333209Z               36 RETURN_VALUE
2022-11-23T01:32:29.8333269Z  
2022-11-23T01:32:29.8333274Z 
2022-11-23T01:32:29.8333597Z [2022-11-23 01:23:30,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:29.8333821Z [2022-11-23 01:23:30,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8334130Z [2022-11-23 01:23:30,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8334383Z [2022-11-23 01:23:30,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T01:32:29.8334680Z [2022-11-23 01:23:30,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:29.8335014Z [2022-11-23 01:23:30,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8335378Z [2022-11-23 01:23:30,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:29.8335620Z [2022-11-23 01:23:30,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.8335907Z [2022-11-23 01:23:30,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8336148Z [2022-11-23 01:23:30,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8336485Z [2022-11-23 01:23:30,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8336798Z [2022-11-23 01:23:30,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107
2022-11-23T01:32:29.8337076Z [2022-11-23 01:23:30,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T01:32:29.8337381Z [2022-11-23 01:23:30,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:29.8337753Z [2022-11-23 01:23:30,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8338062Z [2022-11-23 01:23:30,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:29.8338422Z [2022-11-23 01:23:30,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8339003Z [2022-11-23 01:23:30,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8339320Z [2022-11-23 01:23:30,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:29.8339743Z [2022-11-23 01:23:30,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8340016Z [2022-11-23 01:23:30,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8340263Z [2022-11-23 01:23:30,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8340641Z [2022-11-23 01:23:30,414] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105>
2022-11-23T01:32:29.8340893Z [2022-11-23 01:23:30,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8341133Z [2022-11-23 01:23:30,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8341391Z [2022-11-23 01:23:30,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8341647Z [2022-11-23 01:23:30,422] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8341842Z [2022-11-23 01:23:30,422] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8341988Z  __compiled_fn_82 <eval_with_key>.521 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8342085Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8342209Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T01:32:29.8342386Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T01:32:29.8342569Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.8342683Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T01:32:29.8342793Z output, output, output, ((add, elu_1),), {}
2022-11-23T01:32:29.8342799Z 
2022-11-23T01:32:29.8343131Z [2022-11-23 01:23:30,423] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8343237Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8343339Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8343430Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8343531Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8343622Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8343718Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8343801Z              12 RETURN_VALUE
2022-11-23T01:32:29.8343807Z 
2022-11-23T01:32:29.8343874Z  
2022-11-23T01:32:29.8344196Z [2022-11-23 01:23:30,423] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8344303Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_82)
2022-11-23T01:32:29.8344400Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8344498Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8344639Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8344736Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8344848Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8344984Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8345081Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8345157Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8345266Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8345362Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8345445Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8345545Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8345629Z              26 RETURN_VALUE
2022-11-23T01:32:29.8345634Z 
2022-11-23T01:32:29.8345701Z  
2022-11-23T01:32:29.8345883Z [2022-11-23 01:23:30,424] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8345963Z  - 
2022-11-23T01:32:29.8346092Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8346163Z             {
2022-11-23T01:32:29.8346309Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8346497Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8346626Z                 'obj_weakref': None
2022-11-23T01:32:29.8346845Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8346918Z             }
2022-11-23T01:32:29.8346988Z             
2022-11-23T01:32:29.8347067Z  - 
2022-11-23T01:32:29.8347195Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8347265Z             {
2022-11-23T01:32:29.8347413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8347517Z                 'code': None,
2022-11-23T01:32:29.8347727Z                 'obj_weakref': <weakref at 0x7f202333b650; to 'Tensor' at 0x7f2023388d60>
2022-11-23T01:32:29.8347978Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8348051Z             }
2022-11-23T01:32:29.8348121Z             
2022-11-23T01:32:29.8348198Z  - 
2022-11-23T01:32:29.8348336Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8348399Z             {
2022-11-23T01:32:29.8348538Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8348713Z                 'code': ['___check_obj_id(model, 139776006814400)'],
2022-11-23T01:32:29.8348838Z                 'obj_weakref': None
2022-11-23T01:32:29.8349066Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8349138Z             }
2022-11-23T01:32:29.8349208Z             
2022-11-23T01:32:29.8349278Z  - 
2022-11-23T01:32:29.8349403Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8349473Z             {
2022-11-23T01:32:29.8349615Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8349835Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8349958Z                 'obj_weakref': None
2022-11-23T01:32:29.8350184Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8350315Z             }
2022-11-23T01:32:29.8350397Z             
2022-11-23T01:32:29.8350494Z  - 
2022-11-23T01:32:29.8350634Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8350705Z             {
2022-11-23T01:32:29.8350831Z                 'guard_types': None,
2022-11-23T01:32:29.8350944Z                 'code': None,
2022-11-23T01:32:29.8351062Z                 'obj_weakref': None
2022-11-23T01:32:29.8351189Z                 'guarded_class': None
2022-11-23T01:32:29.8351258Z             }
2022-11-23T01:32:29.8351327Z             
2022-11-23T01:32:29.8351586Z [2022-11-23 01:23:30,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81
2022-11-23T01:32:29.8351846Z [2022-11-23 01:23:30,444] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:29.8351942Z   target: aten.expm1.default
2022-11-23T01:32:29.8352032Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:29.8352137Z     Pointwise(
2022-11-23T01:32:29.8352233Z       'cpu',
2022-11-23T01:32:29.8352314Z       torch.float32,
2022-11-23T01:32:29.8352444Z       load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32),
2022-11-23T01:32:29.8352523Z       ranges=[16, 16],
2022-11-23T01:32:29.8352610Z       origins={arg0_1, mul_1}
2022-11-23T01:32:29.8352672Z     )
2022-11-23T01:32:29.8352742Z   ))
2022-11-23T01:32:29.8353060Z [2022-11-23 01:23:30,445] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it
2022-11-23T01:32:29.8353323Z [2022-11-23 01:23:30,448] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:29.8353584Z [2022-11-23 01:23:30,455] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:29.8353942Z [2022-11-23 01:23:32,276] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7q/c7qdxs7zvblzzg2iks2mgqg2hm7feq52n2i3c3vc7gecc4wv2wkl.py
2022-11-23T01:32:29.8354212Z [2022-11-23 01:23:32,276] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81
2022-11-23T01:32:29.8354218Z 
2022-11-23T01:32:29.8354319Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8354388Z import torch
2022-11-23T01:32:29.8354465Z import random
2022-11-23T01:32:29.8354587Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8354715Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8354720Z 
2022-11-23T01:32:29.8354803Z aten = torch.ops.aten
2022-11-23T01:32:29.8354944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8355044Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8355050Z 
2022-11-23T01:32:29.8355118Z import triton
2022-11-23T01:32:29.8355217Z import triton.language as tl
2022-11-23T01:32:29.8355346Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8355491Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8355500Z 
2022-11-23T01:32:29.8355504Z 
2022-11-23T01:32:29.8355644Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8355854Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8355981Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8356090Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8356186Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8356255Z {
2022-11-23T01:32:29.8356361Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8356430Z     {
2022-11-23T01:32:29.8356514Z         #pragma omp for 
2022-11-23T01:32:29.8356602Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.8356672Z         {
2022-11-23T01:32:29.8356813Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8356959Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:29.8357053Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.8357191Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8357284Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.8357425Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:29.8357515Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:29.8357617Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8357708Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8357782Z         }
2022-11-23T01:32:29.8357883Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8357974Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.8358044Z         {
2022-11-23T01:32:29.8358134Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8358272Z             auto tmp1 = static_cast<float>(1.0);
2022-11-23T01:32:29.8358357Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.8358466Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:29.8358578Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.8358683Z             auto tmp5 = static_cast<float>(4);
2022-11-23T01:32:29.8358774Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:29.8358862Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8358949Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:29.8359011Z         }
2022-11-23T01:32:29.8359078Z     }
2022-11-23T01:32:29.8359145Z }
2022-11-23T01:32:29.8359238Z ''')
2022-11-23T01:32:29.8359243Z 
2022-11-23T01:32:29.8359248Z 
2022-11-23T01:32:29.8359384Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:29.8359595Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8359723Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.8359828Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:29.8359943Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:29.8360011Z {
2022-11-23T01:32:29.8360118Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8360185Z     {
2022-11-23T01:32:29.8360270Z         #pragma omp for 
2022-11-23T01:32:29.8360359Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:29.8360421Z         {
2022-11-23T01:32:29.8360491Z             {
2022-11-23T01:32:29.8360562Z                 {
2022-11-23T01:32:29.8360662Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8360765Z                     auto tmp5 = in_out_ptr0[i0];
2022-11-23T01:32:29.8360869Z                     auto tmp16 = in_out_ptr1[i0];
2022-11-23T01:32:29.8360982Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:29.8361074Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:32:29.8361198Z                     auto tmp3 = static_cast<float>(1.0507009873554805);
2022-11-23T01:32:29.8361297Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8361419Z                     auto tmp6 = static_cast<float>(1.7580993408473766);
2022-11-23T01:32:29.8361521Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:29.8361627Z                     auto tmp8 = tmp2 ? tmp4 : tmp7;
2022-11-23T01:32:29.8361738Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:29.8361830Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:29.8361940Z                     auto tmp11 = static_cast<float>(1);
2022-11-23T01:32:29.8362041Z                     auto tmp12 = tmp0 + tmp11;
2022-11-23T01:32:29.8362139Z                     auto tmp13 = tmp12 > tmp1;
2022-11-23T01:32:29.8362251Z                     auto tmp14 = static_cast<float>(3);
2022-11-23T01:32:29.8362350Z                     auto tmp15 = tmp12 * tmp14;
2022-11-23T01:32:29.8362458Z                     auto tmp17 = static_cast<float>(6);
2022-11-23T01:32:29.8362554Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:29.8362662Z                     auto tmp19 = tmp13 ? tmp15 : tmp18;
2022-11-23T01:32:29.8362760Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:29.8362860Z                     in_out_ptr1[i0] = tmp19;
2022-11-23T01:32:29.8362931Z                 }
2022-11-23T01:32:29.8363002Z             }
2022-11-23T01:32:29.8363070Z         }
2022-11-23T01:32:29.8363131Z     }
2022-11-23T01:32:29.8363197Z }
2022-11-23T01:32:29.8363284Z ''')
2022-11-23T01:32:29.8363289Z 
2022-11-23T01:32:29.8363294Z 
2022-11-23T01:32:29.8363391Z async_compile.wait(globals())
2022-11-23T01:32:29.8363468Z del async_compile
2022-11-23T01:32:29.8363473Z 
2022-11-23T01:32:29.8363548Z def call(args):
2022-11-23T01:32:29.8363623Z     arg0_1, = args
2022-11-23T01:32:29.8363701Z     args.clear()
2022-11-23T01:32:29.8363898Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8364130Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8364304Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:29.8364427Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T01:32:29.8364525Z     del buf0
2022-11-23T01:32:29.8364600Z     buf2 = buf1
2022-11-23T01:32:29.8364703Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T01:32:29.8364768Z     del buf1
2022-11-23T01:32:29.8364888Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T01:32:29.8364959Z     del buf3
2022-11-23T01:32:29.8365032Z     buf5 = buf4
2022-11-23T01:32:29.8365136Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T01:32:29.8365207Z     del buf4
2022-11-23T01:32:29.8365301Z     buf6 = buf2; del buf2  # reuse
2022-11-23T01:32:29.8365383Z     buf7 = buf5; del buf5  # reuse
2022-11-23T01:32:29.8365553Z     kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:29.8365628Z     del arg0_1
2022-11-23T01:32:29.8365716Z     return (buf6, buf7, )
2022-11-23T01:32:29.8365721Z 
2022-11-23T01:32:29.8365726Z 
2022-11-23T01:32:29.8365808Z if __name__ == "__main__":
2022-11-23T01:32:29.8365929Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8366060Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8366263Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8366376Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8366381Z 
2022-11-23T01:32:29.8366454Z ok (1.919s)
2022-11-23T01:32:29.8366769Z   test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8367087Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8367311Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8367565Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8367849Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8368167Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8368507Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8368824Z [2022-11-23 01:23:32,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8369203Z [2022-11-23 01:23:32,319] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303> 
2022-11-23T01:32:29.8369305Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8369424Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T01:32:29.8369522Z                4 LOAD_FAST                0 (w)
2022-11-23T01:32:29.8369618Z                6 LOAD_FAST                1 (i)
2022-11-23T01:32:29.8369714Z                8 LOAD_FAST                2 (o)
2022-11-23T01:32:29.8369815Z               10 LOAD_CONST               1 (False)
2022-11-23T01:32:29.8369903Z               12 LOAD_CONST               2 (0)
2022-11-23T01:32:29.8370005Z               14 LOAD_CONST               1 (False)
2022-11-23T01:32:29.8370106Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:29.8370200Z               18 CALL_METHOD              7
2022-11-23T01:32:29.8370284Z               20 RETURN_VALUE
2022-11-23T01:32:29.8370351Z  
2022-11-23T01:32:29.8370356Z 
2022-11-23T01:32:29.8370698Z [2022-11-23 01:23:32,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304
2022-11-23T01:32:29.8370944Z [2022-11-23 01:23:32,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8371257Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8371523Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T01:32:29.8371815Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T01:32:29.8372127Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8372481Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8372858Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.8373283Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:29.8373733Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:29.8374231Z [2022-11-23 01:23:32,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:29.8374481Z [2022-11-23 01:23:32,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8374859Z [2022-11-23 01:23:32,329] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303>
2022-11-23T01:32:29.8375108Z [2022-11-23 01:23:32,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8375344Z [2022-11-23 01:23:32,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8375591Z [2022-11-23 01:23:32,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8375847Z [2022-11-23 01:23:32,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8376047Z [2022-11-23 01:23:32,337] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8376194Z  __compiled_fn_83 <eval_with_key>.527 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8376289Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8376382Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8376474Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.8376647Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T01:32:29.8376851Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T01:32:29.8377064Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T01:32:29.8377272Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T01:32:29.8377510Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T01:32:29.8377656Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:29.8377661Z 
2022-11-23T01:32:29.8377990Z [2022-11-23 01:23:32,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8378117Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8378218Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8378306Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8378408Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8378501Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8378597Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8378680Z              12 RETURN_VALUE
2022-11-23T01:32:29.8378685Z 
2022-11-23T01:32:29.8378751Z  
2022-11-23T01:32:29.8379201Z [2022-11-23 01:23:32,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8379319Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_83)
2022-11-23T01:32:29.8379413Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8379512Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8379598Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8379694Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8379790Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8379875Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8379969Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8380056Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8380138Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.8380236Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.8380350Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8380464Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8380561Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8380643Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8380749Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8380850Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8380937Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8381045Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8381141Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8381223Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.8381331Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8381419Z              44 LOAD_CONST               4 (3)
2022-11-23T01:32:29.8381502Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.8381597Z              48 BUILD_TUPLE              4
2022-11-23T01:32:29.8381679Z              50 RETURN_VALUE
2022-11-23T01:32:29.8381685Z 
2022-11-23T01:32:29.8381753Z  
2022-11-23T01:32:29.8381944Z [2022-11-23 01:23:32,339] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8382021Z  - 
2022-11-23T01:32:29.8382140Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8382215Z             {
2022-11-23T01:32:29.8382364Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8382558Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.8382684Z                 'obj_weakref': None
2022-11-23T01:32:29.8382909Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8382981Z             }
2022-11-23T01:32:29.8383044Z             
2022-11-23T01:32:29.8383120Z  - 
2022-11-23T01:32:29.8383251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8383324Z             {
2022-11-23T01:32:29.8383474Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8383588Z                 'code': None,
2022-11-23T01:32:29.8383859Z                 'obj_weakref': <weakref at 0x7f2023208450; to 'Tensor' at 0x7f2023357330>
2022-11-23T01:32:29.8384108Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8384209Z             }
2022-11-23T01:32:29.8384279Z             
2022-11-23T01:32:29.8384356Z  - 
2022-11-23T01:32:29.8384487Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8384557Z             {
2022-11-23T01:32:29.8384703Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8384808Z                 'code': None,
2022-11-23T01:32:29.8385018Z                 'obj_weakref': <weakref at 0x7f2023208e50; to 'Tensor' at 0x7f2151ecfe20>
2022-11-23T01:32:29.8385264Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8385336Z             }
2022-11-23T01:32:29.8385404Z             
2022-11-23T01:32:29.8385481Z  - 
2022-11-23T01:32:29.8385613Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.8385675Z             {
2022-11-23T01:32:29.8385824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8385937Z                 'code': None,
2022-11-23T01:32:29.8386146Z                 'obj_weakref': <weakref at 0x7f2023208720; to 'Tensor' at 0x7f2060185b70>
2022-11-23T01:32:29.8386393Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8386463Z             }
2022-11-23T01:32:29.8386531Z             
2022-11-23T01:32:29.8386600Z  - 
2022-11-23T01:32:29.8386737Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8386807Z             {
2022-11-23T01:32:29.8386948Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8387128Z                 'code': ['___check_obj_id(model, 139776006399184)'],
2022-11-23T01:32:29.8387252Z                 'obj_weakref': None
2022-11-23T01:32:29.8387484Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8387555Z             }
2022-11-23T01:32:29.8387618Z             
2022-11-23T01:32:29.8387695Z  - 
2022-11-23T01:32:29.8387823Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8387897Z             {
2022-11-23T01:32:29.8388037Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8388258Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8388375Z                 'obj_weakref': None
2022-11-23T01:32:29.8388604Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8388674Z             }
2022-11-23T01:32:29.8388745Z             
2022-11-23T01:32:29.8388822Z  - 
2022-11-23T01:32:29.8388960Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8389029Z             {
2022-11-23T01:32:29.8389147Z                 'guard_types': None,
2022-11-23T01:32:29.8389263Z                 'code': None,
2022-11-23T01:32:29.8389390Z                 'obj_weakref': None
2022-11-23T01:32:29.8389516Z                 'guarded_class': None
2022-11-23T01:32:29.8389587Z             }
2022-11-23T01:32:29.8389659Z             
2022-11-23T01:32:29.8389922Z [2022-11-23 01:23:32,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82
2022-11-23T01:32:29.8390151Z [2022-11-23 01:23:32,350] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T01:32:29.8390606Z [2022-11-23 01:23:32,353] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qa/cqarumkawsbukushwkccgupdb64blu5ay37faqaiw3cwdykvctjb.py
2022-11-23T01:32:29.8390876Z [2022-11-23 01:23:32,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82
2022-11-23T01:32:29.8390882Z 
2022-11-23T01:32:29.8390984Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8391061Z import torch
2022-11-23T01:32:29.8391138Z import random
2022-11-23T01:32:29.8391305Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8391434Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8391439Z 
2022-11-23T01:32:29.8391516Z aten = torch.ops.aten
2022-11-23T01:32:29.8391682Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8391782Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8391787Z 
2022-11-23T01:32:29.8391864Z import triton
2022-11-23T01:32:29.8391959Z import triton.language as tl
2022-11-23T01:32:29.8392088Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8392232Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8392238Z 
2022-11-23T01:32:29.8392242Z 
2022-11-23T01:32:29.8392337Z async_compile.wait(globals())
2022-11-23T01:32:29.8392409Z del async_compile
2022-11-23T01:32:29.8392421Z 
2022-11-23T01:32:29.8392490Z def call(args):
2022-11-23T01:32:29.8392580Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.8392661Z     args.clear()
2022-11-23T01:32:29.8392777Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T01:32:29.8392853Z     del arg0_1
2022-11-23T01:32:29.8392926Z     del arg1_1
2022-11-23T01:32:29.8392996Z     del arg2_1
2022-11-23T01:32:29.8393070Z     buf1 = buf0[0]
2022-11-23T01:32:29.8393175Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T01:32:29.8393250Z     buf2 = buf0[1]
2022-11-23T01:32:29.8393349Z     assert_size_stride(buf2, (0, ), (1, ))
2022-11-23T01:32:29.8393427Z     buf3 = buf0[2]
2022-11-23T01:32:29.8393528Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T01:32:29.8393595Z     buf4 = buf0[3]
2022-11-23T01:32:29.8393696Z     assert_size_stride(buf4, (3, ), (1, ))
2022-11-23T01:32:29.8393766Z     del buf0
2022-11-23T01:32:29.8393861Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T01:32:29.8393866Z 
2022-11-23T01:32:29.8393871Z 
2022-11-23T01:32:29.8393952Z if __name__ == "__main__":
2022-11-23T01:32:29.8394073Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8394206Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8394414Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8394608Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8394798Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8394930Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.8394936Z 
2022-11-23T01:32:29.8395009Z ok (0.054s)
2022-11-23T01:32:29.8395324Z   test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:23:32,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8395641Z [2022-11-23 01:23:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8395864Z [2022-11-23 01:23:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8396118Z [2022-11-23 01:23:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:29.8396384Z [2022-11-23 01:23:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:29.8396702Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8397038Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8397352Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8397766Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:29.8397868Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:29.8397964Z               2 BUILD_TUPLE              1
2022-11-23T01:32:29.8398113Z               4 RETURN_VALUE
2022-11-23T01:32:29.8398180Z  
2022-11-23T01:32:29.8398186Z 
2022-11-23T01:32:29.8398496Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:29.8398705Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.8398955Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.8399205Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8399592Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:29.8399842Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8400084Z [2022-11-23 01:23:32,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8400344Z [2022-11-23 01:23:32,372] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8400601Z [2022-11-23 01:23:32,377] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8400796Z [2022-11-23 01:23:32,377] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8400931Z  __compiled_fn_84 <eval_with_key>.533 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8401027Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8401134Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:29.8401247Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:29.8401354Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:29.8401360Z 
2022-11-23T01:32:29.8401689Z [2022-11-23 01:23:32,377] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8401795Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8401895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8401982Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8402082Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8402175Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8402272Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8402355Z              12 RETURN_VALUE
2022-11-23T01:32:29.8402360Z 
2022-11-23T01:32:29.8402430Z  
2022-11-23T01:32:29.8402761Z [2022-11-23 01:23:32,377] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8402879Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_84)
2022-11-23T01:32:29.8402970Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8403073Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8403158Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8403254Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8403366Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8403479Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8403576Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8403652Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8403746Z              18 BUILD_TUPLE              1
2022-11-23T01:32:29.8403829Z              20 RETURN_VALUE
2022-11-23T01:32:29.8403835Z 
2022-11-23T01:32:29.8403901Z  
2022-11-23T01:32:29.8404089Z [2022-11-23 01:23:32,378] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8404194Z  - 
2022-11-23T01:32:29.8404321Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8404385Z             {
2022-11-23T01:32:29.8404532Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8404748Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8404875Z                 'obj_weakref': None
2022-11-23T01:32:29.8405104Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8405177Z             }
2022-11-23T01:32:29.8405247Z             
2022-11-23T01:32:29.8405316Z  - 
2022-11-23T01:32:29.8405447Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8405519Z             {
2022-11-23T01:32:29.8405668Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8405782Z                 'code': None,
2022-11-23T01:32:29.8405996Z                 'obj_weakref': <weakref at 0x7f20234174c0; to 'Tensor' at 0x7f2060127c90>
2022-11-23T01:32:29.8406254Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8406317Z             }
2022-11-23T01:32:29.8406388Z             
2022-11-23T01:32:29.8406470Z  - 
2022-11-23T01:32:29.8406597Z             local 'model' NN_MODULE
2022-11-23T01:32:29.8406668Z             {
2022-11-23T01:32:29.8406811Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8406986Z                 'code': ['___check_obj_id(model, 139777336041024)'],
2022-11-23T01:32:29.8407201Z                 'obj_weakref': <weakref at 0x7f20233ca700; to 'Sequential' at 0x7f2072765e40>
2022-11-23T01:32:29.8407440Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:29.8407511Z             }
2022-11-23T01:32:29.8407582Z             
2022-11-23T01:32:29.8407657Z  - 
2022-11-23T01:32:29.8407786Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8407857Z             {
2022-11-23T01:32:29.8407995Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8408217Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8408347Z                 'obj_weakref': None
2022-11-23T01:32:29.8408573Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8408644Z             }
2022-11-23T01:32:29.8408714Z             
2022-11-23T01:32:29.8408789Z  - 
2022-11-23T01:32:29.8408934Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:29.8409005Z             {
2022-11-23T01:32:29.8409136Z                 'guard_types': None,
2022-11-23T01:32:29.8409252Z                 'code': None,
2022-11-23T01:32:29.8409375Z                 'obj_weakref': None
2022-11-23T01:32:29.8409502Z                 'guarded_class': None
2022-11-23T01:32:29.8409572Z             }
2022-11-23T01:32:29.8409634Z             
2022-11-23T01:32:29.8409711Z  - 
2022-11-23T01:32:29.8409863Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:29.8409936Z             {
2022-11-23T01:32:29.8410063Z                 'guard_types': None,
2022-11-23T01:32:29.8410177Z                 'code': None,
2022-11-23T01:32:29.8410304Z                 'obj_weakref': None
2022-11-23T01:32:29.8410424Z                 'guarded_class': None
2022-11-23T01:32:29.8410499Z             }
2022-11-23T01:32:29.8410571Z             
2022-11-23T01:32:29.8410650Z  - 
2022-11-23T01:32:29.8410798Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:29.8410867Z             {
2022-11-23T01:32:29.8410984Z                 'guard_types': None,
2022-11-23T01:32:29.8411103Z                 'code': None,
2022-11-23T01:32:29.8411237Z                 'obj_weakref': None
2022-11-23T01:32:29.8411381Z                 'guarded_class': None
2022-11-23T01:32:29.8411467Z             }
2022-11-23T01:32:29.8411544Z             
2022-11-23T01:32:29.8411845Z [2022-11-23 01:23:32,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83
2022-11-23T01:32:29.8412203Z [2022-11-23 01:23:34,370] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/culo63wq2uodqge57nubkj552sdv5zdmfspefcmucgswcatxt264.py
2022-11-23T01:32:29.8412492Z [2022-11-23 01:23:34,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83
2022-11-23T01:32:29.8412498Z 
2022-11-23T01:32:29.8412602Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8412677Z import torch
2022-11-23T01:32:29.8412753Z import random
2022-11-23T01:32:29.8412875Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8413001Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8413006Z 
2022-11-23T01:32:29.8413089Z aten = torch.ops.aten
2022-11-23T01:32:29.8413223Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8413322Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8413327Z 
2022-11-23T01:32:29.8413403Z import triton
2022-11-23T01:32:29.8413501Z import triton.language as tl
2022-11-23T01:32:29.8413630Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8413775Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8413784Z 
2022-11-23T01:32:29.8413788Z 
2022-11-23T01:32:29.8413926Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8414138Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8414256Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8414369Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8414476Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8414579Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:29.8414682Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:29.8414750Z {
2022-11-23T01:32:29.8414856Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8414925Z     {
2022-11-23T01:32:29.8415006Z         #pragma omp for 
2022-11-23T01:32:29.8415098Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.8415168Z         {
2022-11-23T01:32:29.8415256Z             #pragma GCC ivdep
2022-11-23T01:32:29.8415352Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.8415422Z             {
2022-11-23T01:32:29.8415486Z                 {
2022-11-23T01:32:29.8415559Z                     {
2022-11-23T01:32:29.8415663Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8415776Z                         auto tmp1 = in_ptr1[i1 + (4*tmp0)];
2022-11-23T01:32:29.8415884Z                         auto tmp2 = tmp1 * (tmp1>0);
2022-11-23T01:32:29.8415988Z                         out_ptr0[i1 + (4*i0)] = tmp2;
2022-11-23T01:32:29.8416062Z                     }
2022-11-23T01:32:29.8416127Z                 }
2022-11-23T01:32:29.8416198Z             }
2022-11-23T01:32:29.8416268Z         }
2022-11-23T01:32:29.8416352Z         #pragma omp for 
2022-11-23T01:32:29.8416446Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.8416516Z         {
2022-11-23T01:32:29.8416585Z             {
2022-11-23T01:32:29.8416649Z                 {
2022-11-23T01:32:29.8416750Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:29.8416867Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:29.8416968Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:29.8417062Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.8417134Z                 }
2022-11-23T01:32:29.8417205Z             }
2022-11-23T01:32:29.8417268Z         }
2022-11-23T01:32:29.8417352Z         #pragma omp for 
2022-11-23T01:32:29.8417442Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.8417511Z         {
2022-11-23T01:32:29.8417582Z             {
2022-11-23T01:32:29.8417654Z                 {
2022-11-23T01:32:29.8417747Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8417863Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:29.8418006Z                     auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:32:29.8418101Z                     out_ptr2[i0] = tmp2;
2022-11-23T01:32:29.8418173Z                 }
2022-11-23T01:32:29.8418265Z             }
2022-11-23T01:32:29.8418336Z         }
2022-11-23T01:32:29.8418397Z     }
2022-11-23T01:32:29.8418464Z }
2022-11-23T01:32:29.8418552Z ''')
2022-11-23T01:32:29.8418558Z 
2022-11-23T01:32:29.8418563Z 
2022-11-23T01:32:29.8418659Z async_compile.wait(globals())
2022-11-23T01:32:29.8418741Z del async_compile
2022-11-23T01:32:29.8418747Z 
2022-11-23T01:32:29.8418947Z def call(args):
2022-11-23T01:32:29.8419043Z     primals_1, primals_2 = args
2022-11-23T01:32:29.8419114Z     args.clear()
2022-11-23T01:32:29.8419324Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8419524Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.8419721Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8419952Z     kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.8420034Z     del primals_1
2022-11-23T01:32:29.8420112Z     del primals_2
2022-11-23T01:32:29.8420203Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.8420208Z 
2022-11-23T01:32:29.8420213Z 
2022-11-23T01:32:29.8420296Z if __name__ == "__main__":
2022-11-23T01:32:29.8420410Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8420541Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8420749Z     primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8420949Z     primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8421082Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:29.8421087Z 
2022-11-23T01:32:29.8421160Z ok (2.034s)
2022-11-23T01:32:29.8421460Z   test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8421776Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8421995Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8422248Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8422524Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8422840Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8423180Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8423503Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8423877Z [2022-11-23 01:23:34,399] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000> 
2022-11-23T01:32:29.8423981Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8424083Z                2 LOAD_METHOD              1 (exp)
2022-11-23T01:32:29.8424175Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8424274Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8424375Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8424475Z               10 LOAD_METHOD              1 (exp)
2022-11-23T01:32:29.8424622Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8424721Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8424802Z               16 BINARY_ADD
2022-11-23T01:32:29.8424924Z               18 CALL_METHOD              1
2022-11-23T01:32:29.8425014Z               20 BUILD_TUPLE              2
2022-11-23T01:32:29.8425098Z               22 RETURN_VALUE
2022-11-23T01:32:29.8425165Z  
2022-11-23T01:32:29.8425170Z 
2022-11-23T01:32:29.8425484Z [2022-11-23 01:23:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001
2022-11-23T01:32:29.8425710Z [2022-11-23 01:23:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8426076Z [2022-11-23 01:23:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8426404Z [2022-11-23 01:23:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8426760Z [2022-11-23 01:23:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8427020Z [2022-11-23 01:23:34,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.8427404Z [2022-11-23 01:23:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8427751Z [2022-11-23 01:23:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8428124Z [2022-11-23 01:23:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8428527Z [2022-11-23 01:23:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8428903Z [2022-11-23 01:23:34,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8429178Z [2022-11-23 01:23:34,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8429427Z [2022-11-23 01:23:34,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8429806Z [2022-11-23 01:23:34,404] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000>
2022-11-23T01:32:29.8430055Z [2022-11-23 01:23:34,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8430372Z [2022-11-23 01:23:34,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8430636Z [2022-11-23 01:23:34,405] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8430881Z [2022-11-23 01:23:34,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8431076Z [2022-11-23 01:23:34,410] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8431218Z  __compiled_fn_85 <eval_with_key>.544 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8431315Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8431410Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8431664Z call_function, exp, <built-in method exp of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.8431849Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8432071Z call_function, exp_1, <built-in method exp of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:29.8432203Z output, output, output, ((exp, exp_1),), {}
2022-11-23T01:32:29.8432216Z 
2022-11-23T01:32:29.8432539Z [2022-11-23 01:23:34,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8432643Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8432742Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8432837Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8432936Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8433030Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8433127Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8433206Z              12 RETURN_VALUE
2022-11-23T01:32:29.8433211Z 
2022-11-23T01:32:29.8433280Z  
2022-11-23T01:32:29.8433613Z [2022-11-23 01:23:34,411] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8433733Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_85)
2022-11-23T01:32:29.8433830Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8433928Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8434012Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8434107Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8434196Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8434278Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8434372Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8434486Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8434600Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8434697Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8434782Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8434882Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8434980Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8435061Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8435156Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.8435238Z              32 RETURN_VALUE
2022-11-23T01:32:29.8435244Z 
2022-11-23T01:32:29.8435311Z  
2022-11-23T01:32:29.8435502Z [2022-11-23 01:23:34,412] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8435571Z  - 
2022-11-23T01:32:29.8435698Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8435769Z             {
2022-11-23T01:32:29.8435916Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8436110Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8436242Z                 'obj_weakref': None
2022-11-23T01:32:29.8436470Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8436533Z             }
2022-11-23T01:32:29.8436608Z             
2022-11-23T01:32:29.8436683Z  - 
2022-11-23T01:32:29.8436816Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8436885Z             {
2022-11-23T01:32:29.8437035Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8437149Z                 'code': None,
2022-11-23T01:32:29.8437357Z                 'obj_weakref': <weakref at 0x7f20233b08b0; to 'Tensor' at 0x7f2060127c90>
2022-11-23T01:32:29.8437613Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8437684Z             }
2022-11-23T01:32:29.8437755Z             
2022-11-23T01:32:29.8437831Z  - 
2022-11-23T01:32:29.8437960Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8438030Z             {
2022-11-23T01:32:29.8438213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8438329Z                 'code': None,
2022-11-23T01:32:29.8438537Z                 'obj_weakref': <weakref at 0x7f2023208b80; to 'Tensor' at 0x7f20728455d0>
2022-11-23T01:32:29.8438810Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8438881Z             }
2022-11-23T01:32:29.8438951Z             
2022-11-23T01:32:29.8439026Z  - 
2022-11-23T01:32:29.8439156Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8439225Z             {
2022-11-23T01:32:29.8439366Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8439546Z                 'code': ['___check_obj_id(model, 139777160730736)'],
2022-11-23T01:32:29.8439672Z                 'obj_weakref': None
2022-11-23T01:32:29.8439904Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8439976Z             }
2022-11-23T01:32:29.8440038Z             
2022-11-23T01:32:29.8440115Z  - 
2022-11-23T01:32:29.8440243Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8440312Z             {
2022-11-23T01:32:29.8440458Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8440681Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8440805Z                 'obj_weakref': None
2022-11-23T01:32:29.8441024Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8441095Z             }
2022-11-23T01:32:29.8441166Z             
2022-11-23T01:32:29.8441255Z  - 
2022-11-23T01:32:29.8441414Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8441502Z             {
2022-11-23T01:32:29.8441629Z                 'guard_types': None,
2022-11-23T01:32:29.8441734Z                 'code': None,
2022-11-23T01:32:29.8441859Z                 'obj_weakref': None
2022-11-23T01:32:29.8441988Z                 'guarded_class': None
2022-11-23T01:32:29.8442061Z             }
2022-11-23T01:32:29.8442133Z             
2022-11-23T01:32:29.8442399Z [2022-11-23 01:23:34,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84
2022-11-23T01:32:29.8442767Z [2022-11-23 01:23:36,199] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7qxbbydyygvjrjvbamvvabp2yxand2ftsw76jjpasa2stqjoxs.py
2022-11-23T01:32:29.8443022Z [2022-11-23 01:23:36,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84
2022-11-23T01:32:29.8443036Z 
2022-11-23T01:32:29.8443130Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8443206Z import torch
2022-11-23T01:32:29.8443281Z import random
2022-11-23T01:32:29.8443403Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8443529Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8443534Z 
2022-11-23T01:32:29.8443620Z aten = torch.ops.aten
2022-11-23T01:32:29.8443762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8443854Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8443859Z 
2022-11-23T01:32:29.8443938Z import triton
2022-11-23T01:32:29.8444033Z import triton.language as tl
2022-11-23T01:32:29.8444162Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8444306Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8444311Z 
2022-11-23T01:32:29.8444316Z 
2022-11-23T01:32:29.8444453Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8444662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8444790Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8444894Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8445001Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8445135Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8445203Z {
2022-11-23T01:32:29.8445310Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8445378Z     {
2022-11-23T01:32:29.8445461Z         #pragma omp for 
2022-11-23T01:32:29.8445564Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.8445633Z         {
2022-11-23T01:32:29.8445779Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8445919Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.8446011Z             auto tmp1 = tmp0.exp();
2022-11-23T01:32:29.8446102Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.8446193Z             auto tmp4 = tmp3.exp();
2022-11-23T01:32:29.8446284Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8446382Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8446449Z         }
2022-11-23T01:32:29.8446551Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8446645Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.8446714Z         {
2022-11-23T01:32:29.8446805Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8446888Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:29.8446988Z             auto tmp1 = std::exp(tmp0);
2022-11-23T01:32:29.8447078Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.8447177Z             auto tmp4 = std::exp(tmp3);
2022-11-23T01:32:29.8447265Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.8447356Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:29.8447426Z         }
2022-11-23T01:32:29.8447487Z     }
2022-11-23T01:32:29.8447552Z }
2022-11-23T01:32:29.8447640Z ''')
2022-11-23T01:32:29.8447646Z 
2022-11-23T01:32:29.8447651Z 
2022-11-23T01:32:29.8447747Z async_compile.wait(globals())
2022-11-23T01:32:29.8447827Z del async_compile
2022-11-23T01:32:29.8447832Z 
2022-11-23T01:32:29.8447906Z def call(args):
2022-11-23T01:32:29.8447986Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8448056Z     args.clear()
2022-11-23T01:32:29.8448255Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8448456Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8448659Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8448734Z     del arg0_1
2022-11-23T01:32:29.8448808Z     del arg1_1
2022-11-23T01:32:29.8448892Z     return (buf0, buf1, )
2022-11-23T01:32:29.8448897Z 
2022-11-23T01:32:29.8448902Z 
2022-11-23T01:32:29.8448986Z if __name__ == "__main__":
2022-11-23T01:32:29.8449100Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8449229Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8449431Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8449626Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8449752Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8449757Z 
2022-11-23T01:32:29.8449829Z ok (1.824s)
2022-11-23T01:32:29.8450139Z   test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:23:36,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8450456Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8450676Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8450923Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8451203Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8451550Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8451895Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8452235Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8452604Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436> 
2022-11-23T01:32:29.8452707Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8452817Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:29.8452915Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8453003Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8453102Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8453204Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8453310Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:29.8453412Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8453507Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8453590Z               18 BINARY_ADD
2022-11-23T01:32:29.8453678Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8453773Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8453854Z               24 BINARY_ADD
2022-11-23T01:32:29.8453950Z               26 CALL_METHOD              2
2022-11-23T01:32:29.8454045Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8454121Z               30 BINARY_ADD
2022-11-23T01:32:29.8454218Z               32 BUILD_TUPLE              2
2022-11-23T01:32:29.8454293Z               34 RETURN_VALUE
2022-11-23T01:32:29.8454361Z  
2022-11-23T01:32:29.8454366Z 
2022-11-23T01:32:29.8454683Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437
2022-11-23T01:32:29.8454904Z [2022-11-23 01:23:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8455218Z [2022-11-23 01:23:36,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8455475Z [2022-11-23 01:23:36,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T01:32:29.8455759Z [2022-11-23 01:23:36,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:29.8456073Z [2022-11-23 01:23:36,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8456320Z [2022-11-23 01:23:36,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8456656Z [2022-11-23 01:23:36,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8456931Z [2022-11-23 01:23:36,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T01:32:29.8457242Z [2022-11-23 01:23:36,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:29.8457599Z [2022-11-23 01:23:36,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8457903Z [2022-11-23 01:23:36,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:29.8458275Z [2022-11-23 01:23:36,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8458679Z [2022-11-23 01:23:36,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8459323Z [2022-11-23 01:23:36,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8459596Z [2022-11-23 01:23:36,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8459901Z [2022-11-23 01:23:36,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8460171Z [2022-11-23 01:23:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8460419Z [2022-11-23 01:23:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8460797Z [2022-11-23 01:23:36,276] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436>
2022-11-23T01:32:29.8461037Z [2022-11-23 01:23:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8461276Z [2022-11-23 01:23:36,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8461531Z [2022-11-23 01:23:36,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8461783Z [2022-11-23 01:23:36,283] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8461978Z [2022-11-23 01:23:36,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8462119Z  __compiled_fn_86 <eval_with_key>.550 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8462217Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8462319Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8462445Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8462625Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.8462802Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.8462937Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T01:32:29.8463125Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T01:32:29.8463243Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T01:32:29.8463249Z 
2022-11-23T01:32:29.8463578Z [2022-11-23 01:23:36,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8463681Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8463773Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8463871Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8463975Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8464068Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8464165Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8464249Z              12 RETURN_VALUE
2022-11-23T01:32:29.8464254Z 
2022-11-23T01:32:29.8464323Z  
2022-11-23T01:32:29.8464647Z [2022-11-23 01:23:36,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8464758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_86)
2022-11-23T01:32:29.8464856Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8464953Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8465087Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8465186Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8465285Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8465397Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8465485Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8465599Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8465715Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8465813Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8465896Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8466008Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8466104Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8466179Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8466275Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.8466358Z              32 RETURN_VALUE
2022-11-23T01:32:29.8466367Z 
2022-11-23T01:32:29.8466439Z  
2022-11-23T01:32:29.8466630Z [2022-11-23 01:23:36,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8466710Z  - 
2022-11-23T01:32:29.8466837Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8466904Z             {
2022-11-23T01:32:29.8467052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8467253Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8467381Z                 'obj_weakref': None
2022-11-23T01:32:29.8467606Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8467679Z             }
2022-11-23T01:32:29.8467749Z             
2022-11-23T01:32:29.8467819Z  - 
2022-11-23T01:32:29.8467949Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8468019Z             {
2022-11-23T01:32:29.8468166Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8468281Z                 'code': None,
2022-11-23T01:32:29.8468499Z                 'obj_weakref': <weakref at 0x7f202320d260; to 'Tensor' at 0x7f20601edda0>
2022-11-23T01:32:29.8468755Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8468832Z             }
2022-11-23T01:32:29.8468895Z             
2022-11-23T01:32:29.8468973Z  - 
2022-11-23T01:32:29.8469110Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8469183Z             {
2022-11-23T01:32:29.8469328Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8469439Z                 'code': None,
2022-11-23T01:32:29.8469639Z                 'obj_weakref': <weakref at 0x7f202320d710; to 'Tensor' at 0x7f2023415f80>
2022-11-23T01:32:29.8469887Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8469960Z             }
2022-11-23T01:32:29.8470029Z             
2022-11-23T01:32:29.8470109Z  - 
2022-11-23T01:32:29.8470332Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8470415Z             {
2022-11-23T01:32:29.8470568Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8470766Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8470897Z                 'obj_weakref': None
2022-11-23T01:32:29.8471129Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8471201Z             }
2022-11-23T01:32:29.8471272Z             
2022-11-23T01:32:29.8471350Z  - 
2022-11-23T01:32:29.8471469Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8471540Z             {
2022-11-23T01:32:29.8471682Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8471903Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8472028Z                 'obj_weakref': None
2022-11-23T01:32:29.8472292Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8472364Z             }
2022-11-23T01:32:29.8472426Z             
2022-11-23T01:32:29.8472504Z  - 
2022-11-23T01:32:29.8472666Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8472738Z             {
2022-11-23T01:32:29.8472865Z                 'guard_types': None,
2022-11-23T01:32:29.8472980Z                 'code': None,
2022-11-23T01:32:29.8473102Z                 'obj_weakref': None
2022-11-23T01:32:29.8473219Z                 'guarded_class': None
2022-11-23T01:32:29.8473291Z             }
2022-11-23T01:32:29.8473362Z             
2022-11-23T01:32:29.8473622Z [2022-11-23 01:23:36,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85
2022-11-23T01:32:29.8473988Z [2022-11-23 01:23:37,860] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7d/c7dysb2jswwedlzbdahznmgflcmlfc6uaf2t3mhirj2c3joou6zz.py
2022-11-23T01:32:29.8474257Z [2022-11-23 01:23:37,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85
2022-11-23T01:32:29.8474264Z 
2022-11-23T01:32:29.8474363Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8474445Z import torch
2022-11-23T01:32:29.8474514Z import random
2022-11-23T01:32:29.8474635Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8474762Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8474768Z 
2022-11-23T01:32:29.8474853Z aten = torch.ops.aten
2022-11-23T01:32:29.8474993Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8475093Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8475098Z 
2022-11-23T01:32:29.8475175Z import triton
2022-11-23T01:32:29.8475263Z import triton.language as tl
2022-11-23T01:32:29.8475393Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8475536Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8475541Z 
2022-11-23T01:32:29.8475546Z 
2022-11-23T01:32:29.8475687Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8475898Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8476031Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8476142Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8476209Z {
2022-11-23T01:32:29.8476306Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8476373Z     {
2022-11-23T01:32:29.8476473Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.8476562Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:29.8476633Z         {
2022-11-23T01:32:29.8476727Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:29.8476797Z             {
2022-11-23T01:32:29.8476886Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:29.8476959Z                 {
2022-11-23T01:32:29.8477117Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T01:32:29.8477269Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8477370Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8477471Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:29.8477595Z                     tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:29.8477668Z                 }
2022-11-23T01:32:29.8477765Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.8477864Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:32:29.8477937Z                 {
2022-11-23T01:32:29.8478045Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:32:29.8478156Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.8478253Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8478351Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:29.8478455Z                     out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3;
2022-11-23T01:32:29.8478561Z                 }
2022-11-23T01:32:29.8478634Z             }
2022-11-23T01:32:29.8478705Z         }
2022-11-23T01:32:29.8478773Z     }
2022-11-23T01:32:29.8478842Z }
2022-11-23T01:32:29.8478947Z ''')
2022-11-23T01:32:29.8478965Z 
2022-11-23T01:32:29.8478970Z 
2022-11-23T01:32:29.8479059Z async_compile.wait(globals())
2022-11-23T01:32:29.8479139Z del async_compile
2022-11-23T01:32:29.8479144Z 
2022-11-23T01:32:29.8479224Z def call(args):
2022-11-23T01:32:29.8479312Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8479391Z     args.clear()
2022-11-23T01:32:29.8479610Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8479755Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8479867Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T01:32:29.8479881Z 
2022-11-23T01:32:29.8479885Z 
2022-11-23T01:32:29.8479962Z if __name__ == "__main__":
2022-11-23T01:32:29.8480086Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8480217Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8480431Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8480654Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8480777Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8480782Z 
2022-11-23T01:32:29.8480859Z ok (1.644s)
2022-11-23T01:32:29.8481169Z   test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8481481Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8481711Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8481965Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8482241Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8482567Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8482913Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8483237Z [2022-11-23 01:23:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8483617Z [2022-11-23 01:23:37,867] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260> 
2022-11-23T01:32:29.8483719Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8483819Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8483896Z                4 BINARY_ADD
2022-11-23T01:32:29.8484001Z                6 LOAD_METHOD              0 (expand)
2022-11-23T01:32:29.8484097Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:29.8484197Z               10 LOAD_CONST               3 (4)
2022-11-23T01:32:29.8484294Z               12 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8484392Z               14 LOAD_CONST               2 (3)
2022-11-23T01:32:29.8484485Z               16 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8484574Z               18 CALL_METHOD              5
2022-11-23T01:32:29.8484670Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8484751Z               22 BINARY_ADD
2022-11-23T01:32:29.8484757Z 
2022-11-23T01:32:29.8484896Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8485002Z               26 LOAD_METHOD              0 (expand)
2022-11-23T01:32:29.8485095Z               28 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8485188Z               30 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8485299Z               32 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8485392Z               34 LOAD_CONST               2 (3)
2022-11-23T01:32:29.8485484Z               36 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8485579Z               38 CALL_METHOD              5
2022-11-23T01:32:29.8485672Z               40 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8485751Z               42 BINARY_ADD
2022-11-23T01:32:29.8485756Z 
2022-11-23T01:32:29.8485852Z 1261          44 BUILD_TUPLE              2
2022-11-23T01:32:29.8485857Z 
2022-11-23T01:32:29.8485951Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8486048Z               48 LOAD_METHOD              0 (expand)
2022-11-23T01:32:29.8486146Z               50 LOAD_CONST               4 (2)
2022-11-23T01:32:29.8486289Z               52 LOAD_CONST               5 (-1)
2022-11-23T01:32:29.8486382Z               54 LOAD_CONST               6 (5)
2022-11-23T01:32:29.8486528Z               56 LOAD_CONST               5 (-1)
2022-11-23T01:32:29.8486622Z               58 CALL_METHOD              4
2022-11-23T01:32:29.8486627Z 
2022-11-23T01:32:29.8486721Z 1261          60 BUILD_TUPLE              2
2022-11-23T01:32:29.8486797Z               62 RETURN_VALUE
2022-11-23T01:32:29.8486864Z  
2022-11-23T01:32:29.8486869Z 
2022-11-23T01:32:29.8487194Z [2022-11-23 01:23:37,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262
2022-11-23T01:32:29.8487410Z [2022-11-23 01:23:37,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.8487653Z [2022-11-23 01:23:37,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.8487937Z [2022-11-23 01:23:37,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8488188Z [2022-11-23 01:23:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T01:32:29.8488471Z [2022-11-23 01:23:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:29.8488783Z [2022-11-23 01:23:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:29.8489131Z [2022-11-23 01:23:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8489506Z [2022-11-23 01:23:37,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8489924Z [2022-11-23 01:23:37,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8490388Z [2022-11-23 01:23:37,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8490630Z [2022-11-23 01:23:37,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.8490909Z [2022-11-23 01:23:37,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8491218Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263
2022-11-23T01:32:29.8491482Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:29.8491753Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8492081Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:29.8492424Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:29.8492795Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8493204Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8493644Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8494119Z [2022-11-23 01:23:37,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8494385Z [2022-11-23 01:23:37,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8494690Z [2022-11-23 01:23:37,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8495002Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:29.8495272Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8495590Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264
2022-11-23T01:32:29.8495830Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T01:32:29.8496110Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.8496416Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:29.8496763Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:29.8497139Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8497559Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8498002Z [2022-11-23 01:23:37,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8498316Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:29.8498624Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.8499064Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8499489Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260>
2022-11-23T01:32:29.8499738Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8499974Z [2022-11-23 01:23:37,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8500238Z [2022-11-23 01:23:37,875] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8500493Z [2022-11-23 01:23:37,880] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8500691Z [2022-11-23 01:23:37,880] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8500825Z  __compiled_fn_87 <eval_with_key>.556 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8500924Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8501103Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.8501221Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T01:32:29.8501430Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T01:32:29.8501569Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T01:32:29.8501759Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T01:32:29.8501930Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T01:32:29.8502045Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T01:32:29.8502050Z 
2022-11-23T01:32:29.8502381Z [2022-11-23 01:23:37,880] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8502485Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8502586Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8502682Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8502782Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8502877Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8502972Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8503048Z              12 RETURN_VALUE
2022-11-23T01:32:29.8503053Z 
2022-11-23T01:32:29.8503121Z  
2022-11-23T01:32:29.8503452Z [2022-11-23 01:23:37,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8503572Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_87)
2022-11-23T01:32:29.8503674Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8503772Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8503856Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8503943Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8504059Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8504171Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8504270Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8504354Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8504461Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8504557Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8504632Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8504729Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8504837Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8504933Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8505110Z              30 BINARY_SUBSCR
2022-11-23T01:32:29.8505207Z              32 BUILD_TUPLE              2
2022-11-23T01:32:29.8505290Z              34 RETURN_VALUE
2022-11-23T01:32:29.8505296Z 
2022-11-23T01:32:29.8505390Z  
2022-11-23T01:32:29.8505576Z [2022-11-23 01:23:37,881] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8505655Z  - 
2022-11-23T01:32:29.8505781Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8505853Z             {
2022-11-23T01:32:29.8506003Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8506197Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8506323Z                 'obj_weakref': None
2022-11-23T01:32:29.8506541Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8506611Z             }
2022-11-23T01:32:29.8506682Z             
2022-11-23T01:32:29.8506759Z  - 
2022-11-23T01:32:29.8506890Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8506962Z             {
2022-11-23T01:32:29.8507103Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8507220Z                 'code': None,
2022-11-23T01:32:29.8507432Z                 'obj_weakref': <weakref at 0x7f2023208720; to 'Tensor' at 0x7f20728455d0>
2022-11-23T01:32:29.8507684Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8507756Z             }
2022-11-23T01:32:29.8507826Z             
2022-11-23T01:32:29.8507905Z  - 
2022-11-23T01:32:29.8508040Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8508103Z             {
2022-11-23T01:32:29.8508242Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8508417Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8508541Z                 'obj_weakref': None
2022-11-23T01:32:29.8508775Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8508847Z             }
2022-11-23T01:32:29.8508916Z             
2022-11-23T01:32:29.8508986Z  - 
2022-11-23T01:32:29.8509112Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8509187Z             {
2022-11-23T01:32:29.8509327Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8509546Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8509671Z                 'obj_weakref': None
2022-11-23T01:32:29.8509892Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8509955Z             }
2022-11-23T01:32:29.8510023Z             
2022-11-23T01:32:29.8510352Z [2022-11-23 01:23:37,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86
2022-11-23T01:32:29.8510777Z [2022-11-23 01:23:39,492] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gj/cgjeazenwhg6ppplliqsnszfn5idd6qtddh4urrozbcecczixid3.py
2022-11-23T01:32:29.8511041Z [2022-11-23 01:23:39,492] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86
2022-11-23T01:32:29.8511047Z 
2022-11-23T01:32:29.8511154Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8511230Z import torch
2022-11-23T01:32:29.8511306Z import random
2022-11-23T01:32:29.8511421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8511549Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8511555Z 
2022-11-23T01:32:29.8511641Z aten = torch.ops.aten
2022-11-23T01:32:29.8511784Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8511881Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8511886Z 
2022-11-23T01:32:29.8511965Z import triton
2022-11-23T01:32:29.8512061Z import triton.language as tl
2022-11-23T01:32:29.8512182Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8512360Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8512367Z 
2022-11-23T01:32:29.8512371Z 
2022-11-23T01:32:29.8512512Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8512723Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8512874Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8512981Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8513086Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8513152Z {
2022-11-23T01:32:29.8513249Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8513317Z     {
2022-11-23T01:32:29.8513413Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.8513502Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:29.8513572Z         {
2022-11-23T01:32:29.8513664Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.8513735Z             {
2022-11-23T01:32:29.8513817Z                 #pragma GCC ivdep
2022-11-23T01:32:29.8513915Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:32:29.8513986Z                 {
2022-11-23T01:32:29.8514078Z                     #pragma GCC ivdep
2022-11-23T01:32:29.8514179Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:32:29.8514255Z                     {
2022-11-23T01:32:29.8514331Z                         {
2022-11-23T01:32:29.8514401Z                             {
2022-11-23T01:32:29.8514516Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:32:29.8514636Z                                 auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.8514744Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8514864Z                                 auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:29.8514969Z                                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.8515091Z                                 out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4;
2022-11-23T01:32:29.8515163Z                             }
2022-11-23T01:32:29.8515242Z                         }
2022-11-23T01:32:29.8515315Z                     }
2022-11-23T01:32:29.8515386Z                 }
2022-11-23T01:32:29.8515457Z             }
2022-11-23T01:32:29.8515526Z         }
2022-11-23T01:32:29.8515625Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.8515707Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.8515777Z         {
2022-11-23T01:32:29.8515866Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:29.8515935Z             {
2022-11-23T01:32:29.8516025Z                 #pragma GCC ivdep
2022-11-23T01:32:29.8516120Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:32:29.8516185Z                 {
2022-11-23T01:32:29.8516277Z                     #pragma GCC ivdep
2022-11-23T01:32:29.8516375Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:32:29.8516448Z                     {
2022-11-23T01:32:29.8516521Z                         {
2022-11-23T01:32:29.8516601Z                             {
2022-11-23T01:32:29.8516712Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:32:29.8516820Z                                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.8516926Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8517047Z                                 out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2;
2022-11-23T01:32:29.8517123Z                             }
2022-11-23T01:32:29.8517198Z                         }
2022-11-23T01:32:29.8517273Z                     }
2022-11-23T01:32:29.8517345Z                 }
2022-11-23T01:32:29.8517407Z             }
2022-11-23T01:32:29.8517477Z         }
2022-11-23T01:32:29.8517545Z     }
2022-11-23T01:32:29.8517612Z }
2022-11-23T01:32:29.8517700Z ''')
2022-11-23T01:32:29.8517705Z 
2022-11-23T01:32:29.8517710Z 
2022-11-23T01:32:29.8517805Z async_compile.wait(globals())
2022-11-23T01:32:29.8517885Z del async_compile
2022-11-23T01:32:29.8517891Z 
2022-11-23T01:32:29.8517999Z def call(args):
2022-11-23T01:32:29.8518069Z     arg0_1, = args
2022-11-23T01:32:29.8518147Z     args.clear()
2022-11-23T01:32:29.8518371Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8518609Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8518780Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8518906Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T01:32:29.8518912Z 
2022-11-23T01:32:29.8518916Z 
2022-11-23T01:32:29.8518998Z if __name__ == "__main__":
2022-11-23T01:32:29.8519118Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8519240Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8519447Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8519567Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8519572Z 
2022-11-23T01:32:29.8519647Z ok (1.643s)
2022-11-23T01:32:29.8520299Z   test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:32:29.8520603Z   test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:39,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8520918Z [2022-11-23 01:23:39,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8521139Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8521393Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8521671Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8521983Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8522325Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8522649Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8523026Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490> 
2022-11-23T01:32:29.8523137Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8523244Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:29.8523343Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8523443Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8523546Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:29.8523552Z 
2022-11-23T01:32:29.8523643Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.8523743Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:29.8523840Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:29.8523943Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T01:32:29.8524041Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.8524140Z               20 LOAD_CONST               1 (2)
2022-11-23T01:32:29.8524237Z               22 CALL_METHOD              2
2022-11-23T01:32:29.8524352Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.8524437Z               26 RETURN_VALUE
2022-11-23T01:32:29.8524506Z  
2022-11-23T01:32:29.8524511Z 
2022-11-23T01:32:29.8524824Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491
2022-11-23T01:32:29.8525071Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8525437Z [2022-11-23 01:23:39,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8525758Z [2022-11-23 01:23:39,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8526111Z [2022-11-23 01:23:39,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8526357Z [2022-11-23 01:23:39,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:29.8526669Z [2022-11-23 01:23:39,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492
2022-11-23T01:32:29.8526877Z [2022-11-23 01:23:39,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:29.8534580Z [2022-11-23 01:23:39,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8534942Z [2022-11-23 01:23:39,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8535231Z [2022-11-23 01:23:39,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:29.8535529Z [2022-11-23 01:23:39,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T01:32:29.8535846Z [2022-11-23 01:23:39,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T01:32:29.8536206Z [2022-11-23 01:23:39,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8536475Z [2022-11-23 01:23:39,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8536722Z [2022-11-23 01:23:39,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8537096Z [2022-11-23 01:23:39,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490>
2022-11-23T01:32:29.8537344Z [2022-11-23 01:23:39,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8537573Z [2022-11-23 01:23:39,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8537833Z [2022-11-23 01:23:39,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8538082Z [2022-11-23 01:23:39,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8538277Z [2022-11-23 01:23:39,523] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8538419Z  __compiled_fn_88 <eval_with_key>.562 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8538514Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8538758Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.8539203Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T01:32:29.8539328Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T01:32:29.8539335Z 
2022-11-23T01:32:29.8539666Z [2022-11-23 01:23:39,524] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8539816Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8539914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8540010Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8540110Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8540203Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8540301Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8540377Z              12 RETURN_VALUE
2022-11-23T01:32:29.8540383Z 
2022-11-23T01:32:29.8540450Z  
2022-11-23T01:32:29.8540777Z [2022-11-23 01:23:39,524] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8540895Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_88)
2022-11-23T01:32:29.8540992Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8541093Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8541176Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8541264Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8541380Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8541492Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8541589Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8541673Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8541780Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8541875Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8541959Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8542050Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8542132Z              26 RETURN_VALUE
2022-11-23T01:32:29.8542137Z 
2022-11-23T01:32:29.8542202Z  
2022-11-23T01:32:29.8542390Z [2022-11-23 01:23:39,524] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8542472Z  - 
2022-11-23T01:32:29.8542597Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8542667Z             {
2022-11-23T01:32:29.8542807Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8542997Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8543123Z                 'obj_weakref': None
2022-11-23T01:32:29.8543347Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8543417Z             }
2022-11-23T01:32:29.8543485Z             
2022-11-23T01:32:29.8543561Z  - 
2022-11-23T01:32:29.8543683Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8543753Z             {
2022-11-23T01:32:29.8543902Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8544016Z                 'code': None,
2022-11-23T01:32:29.8544230Z                 'obj_weakref': <weakref at 0x7f2023357a60; to 'Tensor' at 0x7f202333af20>
2022-11-23T01:32:29.8544493Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8544562Z             }
2022-11-23T01:32:29.8544625Z             
2022-11-23T01:32:29.8544701Z  - 
2022-11-23T01:32:29.8544837Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8544906Z             {
2022-11-23T01:32:29.8545047Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8545221Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8545346Z                 'obj_weakref': None
2022-11-23T01:32:29.8545571Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8545642Z             }
2022-11-23T01:32:29.8545744Z             
2022-11-23T01:32:29.8545824Z  - 
2022-11-23T01:32:29.8545952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8546022Z             {
2022-11-23T01:32:29.8546165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8546409Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8546531Z                 'obj_weakref': None
2022-11-23T01:32:29.8546756Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8546826Z             }
2022-11-23T01:32:29.8546895Z             
2022-11-23T01:32:29.8546971Z  - 
2022-11-23T01:32:29.8547108Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8547170Z             {
2022-11-23T01:32:29.8547296Z                 'guard_types': None,
2022-11-23T01:32:29.8547410Z                 'code': None,
2022-11-23T01:32:29.8547533Z                 'obj_weakref': None
2022-11-23T01:32:29.8547661Z                 'guarded_class': None
2022-11-23T01:32:29.8547731Z             }
2022-11-23T01:32:29.8547793Z             
2022-11-23T01:32:29.8547869Z  - 
2022-11-23T01:32:29.8548005Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8548079Z             {
2022-11-23T01:32:29.8548204Z                 'guard_types': None,
2022-11-23T01:32:29.8548315Z                 'code': None,
2022-11-23T01:32:29.8548437Z                 'obj_weakref': None
2022-11-23T01:32:29.8548555Z                 'guarded_class': None
2022-11-23T01:32:29.8548624Z             }
2022-11-23T01:32:29.8548693Z             
2022-11-23T01:32:29.8548950Z [2022-11-23 01:23:39,529] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87
2022-11-23T01:32:29.8549316Z [2022-11-23 01:23:41,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6f/c6ftfpyravqvjm6fvlkmlkp2f3ftixcjvh2tlh35qp3akuol6nlq.py
2022-11-23T01:32:29.8549582Z [2022-11-23 01:23:41,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87
2022-11-23T01:32:29.8549589Z 
2022-11-23T01:32:29.8549689Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8549764Z import torch
2022-11-23T01:32:29.8549832Z import random
2022-11-23T01:32:29.8549958Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8550084Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8550089Z 
2022-11-23T01:32:29.8550173Z aten = torch.ops.aten
2022-11-23T01:32:29.8550398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8550519Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8550525Z 
2022-11-23T01:32:29.8550601Z import triton
2022-11-23T01:32:29.8550689Z import triton.language as tl
2022-11-23T01:32:29.8550816Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8550957Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8550963Z 
2022-11-23T01:32:29.8550968Z 
2022-11-23T01:32:29.8551115Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8551324Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8551444Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8551552Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8551618Z {
2022-11-23T01:32:29.8551716Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8551783Z     {
2022-11-23T01:32:29.8551865Z         #pragma omp for 
2022-11-23T01:32:29.8551957Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.8552026Z         {
2022-11-23T01:32:29.8552180Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8552280Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8552342Z         }
2022-11-23T01:32:29.8552444Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8552536Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.8552603Z         {
2022-11-23T01:32:29.8552746Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:29.8552837Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.8552905Z         }
2022-11-23T01:32:29.8552981Z         #pragma omp for 
2022-11-23T01:32:29.8553092Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.8553161Z         {
2022-11-23T01:32:29.8553301Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.8553399Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8553466Z         }
2022-11-23T01:32:29.8553565Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8553647Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.8553715Z         {
2022-11-23T01:32:29.8553822Z             auto tmp0 = static_cast<float>(2);
2022-11-23T01:32:29.8553908Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:29.8553977Z         }
2022-11-23T01:32:29.8554045Z     }
2022-11-23T01:32:29.8554112Z }
2022-11-23T01:32:29.8554194Z ''')
2022-11-23T01:32:29.8554200Z 
2022-11-23T01:32:29.8554207Z 
2022-11-23T01:32:29.8554304Z async_compile.wait(globals())
2022-11-23T01:32:29.8554383Z del async_compile
2022-11-23T01:32:29.8554388Z 
2022-11-23T01:32:29.8554464Z def call(args):
2022-11-23T01:32:29.8554543Z     arg0_1, = args
2022-11-23T01:32:29.8554619Z     args.clear()
2022-11-23T01:32:29.8554824Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8555018Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8555159Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8555243Z     return (buf0, buf1, )
2022-11-23T01:32:29.8555248Z 
2022-11-23T01:32:29.8555253Z 
2022-11-23T01:32:29.8555334Z if __name__ == "__main__":
2022-11-23T01:32:29.8555452Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8555579Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8555783Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8555898Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8555904Z 
2022-11-23T01:32:29.8555969Z ok (1.616s)
2022-11-23T01:32:29.8556272Z   test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:41,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8556589Z [2022-11-23 01:23:41,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8556810Z [2022-11-23 01:23:41,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8557064Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8557340Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8557658Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8557996Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8558319Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8558688Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500> 
2022-11-23T01:32:29.8558794Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8558894Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:29.8558995Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8559090Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8559224Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:29.8559230Z 
2022-11-23T01:32:29.8559330Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.8559452Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:29.8559548Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:29.8559643Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:29.8559740Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:29.8559839Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8559940Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T01:32:29.8560036Z               24 LOAD_CONST               1 (3.0)
2022-11-23T01:32:29.8560131Z               26 CALL_METHOD              1
2022-11-23T01:32:29.8560225Z               28 CALL_METHOD              2
2022-11-23T01:32:29.8560313Z               30 BUILD_TUPLE              2
2022-11-23T01:32:29.8560396Z               32 RETURN_VALUE
2022-11-23T01:32:29.8560465Z  
2022-11-23T01:32:29.8560470Z 
2022-11-23T01:32:29.8560787Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501
2022-11-23T01:32:29.8561014Z [2022-11-23 01:23:41,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8561380Z [2022-11-23 01:23:41,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8561702Z [2022-11-23 01:23:41,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8562054Z [2022-11-23 01:23:41,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8562300Z [2022-11-23 01:23:41,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:29.8562612Z [2022-11-23 01:23:41,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502
2022-11-23T01:32:29.8562825Z [2022-11-23 01:23:41,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:29.8563072Z [2022-11-23 01:23:41,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8563398Z [2022-11-23 01:23:41,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8563688Z [2022-11-23 01:23:41,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:29.8563985Z [2022-11-23 01:23:41,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T01:32:29.8564311Z [2022-11-23 01:23:41,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T01:32:29.8564782Z [2022-11-23 01:23:41,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8565210Z [2022-11-23 01:23:41,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8565706Z [2022-11-23 01:23:41,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:29.8566057Z [2022-11-23 01:23:41,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8566347Z [2022-11-23 01:23:41,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8566595Z [2022-11-23 01:23:41,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8566961Z [2022-11-23 01:23:41,139] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500>
2022-11-23T01:32:29.8567208Z [2022-11-23 01:23:41,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8567444Z [2022-11-23 01:23:41,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8567703Z [2022-11-23 01:23:41,141] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8567956Z [2022-11-23 01:23:41,144] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8568154Z [2022-11-23 01:23:41,145] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8568294Z  __compiled_fn_89 <eval_with_key>.568 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8568390Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8568633Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.8568854Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.0,), {}
2022-11-23T01:32:29.8569000Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T01:32:29.8569125Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T01:32:29.8569131Z 
2022-11-23T01:32:29.8569457Z [2022-11-23 01:23:41,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8569559Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8569661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8569755Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8569856Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8569943Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8570036Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8570118Z              12 RETURN_VALUE
2022-11-23T01:32:29.8570123Z 
2022-11-23T01:32:29.8570189Z  
2022-11-23T01:32:29.8570519Z [2022-11-23 01:23:41,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8570636Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_89)
2022-11-23T01:32:29.8570736Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8570835Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8570911Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8571007Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8571118Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8571229Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8571325Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8571408Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8571515Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8571605Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8571687Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8571781Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8571862Z              26 RETURN_VALUE
2022-11-23T01:32:29.8571867Z 
2022-11-23T01:32:29.8571932Z  
2022-11-23T01:32:29.8572144Z [2022-11-23 01:23:41,146] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8572224Z  - 
2022-11-23T01:32:29.8572343Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8572436Z             {
2022-11-23T01:32:29.8572582Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8572775Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8572901Z                 'obj_weakref': None
2022-11-23T01:32:29.8573124Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8573194Z             }
2022-11-23T01:32:29.8573257Z             
2022-11-23T01:32:29.8573333Z  - 
2022-11-23T01:32:29.8573462Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8573531Z             {
2022-11-23T01:32:29.8573678Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8573790Z                 'code': None,
2022-11-23T01:32:29.8574004Z                 'obj_weakref': <weakref at 0x7f202320c810; to 'Tensor' at 0x7f202333af20>
2022-11-23T01:32:29.8574249Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8574325Z             }
2022-11-23T01:32:29.8574394Z             
2022-11-23T01:32:29.8574470Z  - 
2022-11-23T01:32:29.8574604Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8574673Z             {
2022-11-23T01:32:29.8574814Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8574982Z                 'code': ['___check_obj_id(model, 139777335673328)'],
2022-11-23T01:32:29.8575105Z                 'obj_weakref': None
2022-11-23T01:32:29.8575333Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8575403Z             }
2022-11-23T01:32:29.8575472Z             
2022-11-23T01:32:29.8575547Z  - 
2022-11-23T01:32:29.8575673Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8575739Z             {
2022-11-23T01:32:29.8575878Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8576100Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8576227Z                 'obj_weakref': None
2022-11-23T01:32:29.8576450Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8576518Z             }
2022-11-23T01:32:29.8576587Z             
2022-11-23T01:32:29.8576656Z  - 
2022-11-23T01:32:29.8576792Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8576860Z             {
2022-11-23T01:32:29.8576984Z                 'guard_types': None,
2022-11-23T01:32:29.8577095Z                 'code': None,
2022-11-23T01:32:29.8577216Z                 'obj_weakref': None
2022-11-23T01:32:29.8577341Z                 'guarded_class': None
2022-11-23T01:32:29.8577403Z             }
2022-11-23T01:32:29.8577471Z             
2022-11-23T01:32:29.8577548Z  - 
2022-11-23T01:32:29.8577686Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8577760Z             {
2022-11-23T01:32:29.8577885Z                 'guard_types': None,
2022-11-23T01:32:29.8577995Z                 'code': None,
2022-11-23T01:32:29.8578114Z                 'obj_weakref': None
2022-11-23T01:32:29.8578237Z                 'guarded_class': None
2022-11-23T01:32:29.8578306Z             }
2022-11-23T01:32:29.8578374Z             
2022-11-23T01:32:29.8578634Z [2022-11-23 01:23:41,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88
2022-11-23T01:32:29.8579120Z [2022-11-23 01:23:42,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wv/cwvxsz3epbz46bvdrq7342ck7h3e3udisgb45gsovt2x7pcjyyvp.py
2022-11-23T01:32:29.8579388Z [2022-11-23 01:23:42,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88
2022-11-23T01:32:29.8579394Z 
2022-11-23T01:32:29.8579495Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8579618Z import torch
2022-11-23T01:32:29.8579695Z import random
2022-11-23T01:32:29.8579818Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8579948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8579981Z 
2022-11-23T01:32:29.8580065Z aten = torch.ops.aten
2022-11-23T01:32:29.8580205Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8580302Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8580308Z 
2022-11-23T01:32:29.8580376Z import triton
2022-11-23T01:32:29.8580469Z import triton.language as tl
2022-11-23T01:32:29.8580595Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8580739Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8580744Z 
2022-11-23T01:32:29.8580749Z 
2022-11-23T01:32:29.8580888Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8581096Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8581221Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8581326Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8581385Z {
2022-11-23T01:32:29.8581492Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8581559Z     {
2022-11-23T01:32:29.8581642Z         #pragma omp for 
2022-11-23T01:32:29.8581732Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.8581800Z         {
2022-11-23T01:32:29.8581942Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8582034Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8582103Z         }
2022-11-23T01:32:29.8582201Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8582291Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.8582359Z         {
2022-11-23T01:32:29.8582466Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:29.8582551Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.8582612Z         }
2022-11-23T01:32:29.8582696Z         #pragma omp for 
2022-11-23T01:32:29.8582784Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:29.8582852Z         {
2022-11-23T01:32:29.8582996Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:32:29.8583097Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8583164Z         }
2022-11-23T01:32:29.8583258Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8583345Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:29.8583412Z         {
2022-11-23T01:32:29.8583519Z             auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:32:29.8583604Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:29.8583672Z         }
2022-11-23T01:32:29.8583731Z     }
2022-11-23T01:32:29.8583795Z }
2022-11-23T01:32:29.8583880Z ''')
2022-11-23T01:32:29.8583885Z 
2022-11-23T01:32:29.8583890Z 
2022-11-23T01:32:29.8583982Z async_compile.wait(globals())
2022-11-23T01:32:29.8584059Z del async_compile
2022-11-23T01:32:29.8584064Z 
2022-11-23T01:32:29.8584140Z def call(args):
2022-11-23T01:32:29.8584216Z     arg0_1, = args
2022-11-23T01:32:29.8584285Z     args.clear()
2022-11-23T01:32:29.8584486Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8584687Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8584826Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8584908Z     return (buf0, buf1, )
2022-11-23T01:32:29.8584913Z 
2022-11-23T01:32:29.8584918Z 
2022-11-23T01:32:29.8584997Z if __name__ == "__main__":
2022-11-23T01:32:29.8585115Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8585243Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8585443Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8585549Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8585554Z 
2022-11-23T01:32:29.8585667Z ok (1.775s)
2022-11-23T01:32:29.8585967Z   test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8586303Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8586522Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8586775Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8587050Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8587364Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8587702Z [2022-11-23 01:23:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8588014Z [2022-11-23 01:23:42,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8588391Z [2022-11-23 01:23:42,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647> 
2022-11-23T01:32:29.8588495Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8588594Z                2 LOAD_METHOD              1 (flip)
2022-11-23T01:32:29.8588690Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8588834Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T01:32:29.8588929Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8589030Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8589126Z               12 LOAD_METHOD              1 (flip)
2022-11-23T01:32:29.8589223Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8589322Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T01:32:29.8589419Z               18 CALL_METHOD              2
2022-11-23T01:32:29.8589514Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8589599Z               22 BINARY_SUBTRACT
2022-11-23T01:32:29.8589692Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.8589766Z               26 RETURN_VALUE
2022-11-23T01:32:29.8589832Z  
2022-11-23T01:32:29.8589837Z 
2022-11-23T01:32:29.8590149Z [2022-11-23 01:23:42,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648
2022-11-23T01:32:29.8590454Z [2022-11-23 01:23:42,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8590818Z [2022-11-23 01:23:42,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8591140Z [2022-11-23 01:23:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8591491Z [2022-11-23 01:23:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8591874Z [2022-11-23 01:23:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.8592120Z [2022-11-23 01:23:42,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.8592532Z [2022-11-23 01:23:42,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8592872Z [2022-11-23 01:23:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8593262Z [2022-11-23 01:23:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8593663Z [2022-11-23 01:23:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.8593927Z [2022-11-23 01:23:42,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8594243Z [2022-11-23 01:23:42,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8594508Z [2022-11-23 01:23:42,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8594755Z [2022-11-23 01:23:42,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8595127Z [2022-11-23 01:23:42,908] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647>
2022-11-23T01:32:29.8595377Z [2022-11-23 01:23:42,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8595617Z [2022-11-23 01:23:42,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8595875Z [2022-11-23 01:23:42,909] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8596128Z [2022-11-23 01:23:42,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8596314Z [2022-11-23 01:23:42,914] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8596462Z  __compiled_fn_90 <eval_with_key>.574 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8596556Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8596791Z call_function, flip, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (-1,)), {}
2022-11-23T01:32:29.8597029Z call_function, flip_1, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (0, 2)), {}
2022-11-23T01:32:29.8597209Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T01:32:29.8597318Z output, output, output, ((flip, sub),), {}
2022-11-23T01:32:29.8597324Z 
2022-11-23T01:32:29.8597660Z [2022-11-23 01:23:42,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8597754Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8597852Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8597948Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8598047Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8598138Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8598233Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8598314Z              12 RETURN_VALUE
2022-11-23T01:32:29.8598320Z 
2022-11-23T01:32:29.8598384Z  
2022-11-23T01:32:29.8598704Z [2022-11-23 01:23:42,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8598819Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_90)
2022-11-23T01:32:29.8598917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8599040Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8599127Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8599219Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8599331Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8599458Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8599556Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8599636Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8599744Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8599838Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8599917Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8600010Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8600084Z              26 RETURN_VALUE
2022-11-23T01:32:29.8600095Z 
2022-11-23T01:32:29.8600153Z  
2022-11-23T01:32:29.8600344Z [2022-11-23 01:23:42,915] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8600419Z  - 
2022-11-23T01:32:29.8600545Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8600614Z             {
2022-11-23T01:32:29.8600758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8600948Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8601067Z                 'obj_weakref': None
2022-11-23T01:32:29.8601294Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8601362Z             }
2022-11-23T01:32:29.8601430Z             
2022-11-23T01:32:29.8601504Z  - 
2022-11-23T01:32:29.8601631Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8601698Z             {
2022-11-23T01:32:29.8601837Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8601948Z                 'code': None,
2022-11-23T01:32:29.8602159Z                 'obj_weakref': <weakref at 0x7f202320f2e0; to 'Tensor' at 0x7f2151ecfd80>
2022-11-23T01:32:29.8602410Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8602477Z             }
2022-11-23T01:32:29.8602546Z             
2022-11-23T01:32:29.8602620Z  - 
2022-11-23T01:32:29.8602750Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8602818Z             {
2022-11-23T01:32:29.8602956Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8603127Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8603251Z                 'obj_weakref': None
2022-11-23T01:32:29.8603478Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8603546Z             }
2022-11-23T01:32:29.8603606Z             
2022-11-23T01:32:29.8603680Z  - 
2022-11-23T01:32:29.8603805Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8603872Z             {
2022-11-23T01:32:29.8604012Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8604233Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8604356Z                 'obj_weakref': None
2022-11-23T01:32:29.8604571Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8604643Z             }
2022-11-23T01:32:29.8604709Z             
2022-11-23T01:32:29.8604784Z  - 
2022-11-23T01:32:29.8604922Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8604989Z             {
2022-11-23T01:32:29.8605106Z                 'guard_types': None,
2022-11-23T01:32:29.8605218Z                 'code': None,
2022-11-23T01:32:29.8605340Z                 'obj_weakref': None
2022-11-23T01:32:29.8605465Z                 'guarded_class': None
2022-11-23T01:32:29.8605533Z             }
2022-11-23T01:32:29.8605600Z             
2022-11-23T01:32:29.8605858Z [2022-11-23 01:23:42,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89
2022-11-23T01:32:29.8606253Z [2022-11-23 01:23:44,524] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bf/cbfdv7yi7kfi6tbwvawg3f43g2si2yjfhnnlbmzjh4jpyedlmajp.py
2022-11-23T01:32:29.8606508Z [2022-11-23 01:23:44,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89
2022-11-23T01:32:29.8606535Z 
2022-11-23T01:32:29.8606636Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8606709Z import torch
2022-11-23T01:32:29.8606784Z import random
2022-11-23T01:32:29.8606905Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8607033Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8607038Z 
2022-11-23T01:32:29.8607119Z aten = torch.ops.aten
2022-11-23T01:32:29.8607259Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8607350Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8607355Z 
2022-11-23T01:32:29.8607428Z import triton
2022-11-23T01:32:29.8607522Z import triton.language as tl
2022-11-23T01:32:29.8607650Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8607792Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8607798Z 
2022-11-23T01:32:29.8607802Z 
2022-11-23T01:32:29.8607944Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8608152Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8608277Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8608376Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8608480Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8608545Z {
2022-11-23T01:32:29.8608649Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8608714Z     {
2022-11-23T01:32:29.8608796Z         #pragma omp for 
2022-11-23T01:32:29.8608877Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:29.8608947Z         {
2022-11-23T01:32:29.8609032Z             #pragma GCC ivdep
2022-11-23T01:32:29.8609127Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:29.8609195Z             {
2022-11-23T01:32:29.8609263Z                 {
2022-11-23T01:32:29.8609334Z                     {
2022-11-23T01:32:29.8609507Z                         auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)];
2022-11-23T01:32:29.8609608Z                         out_ptr0[i1 + (6*i0)] = tmp0;
2022-11-23T01:32:29.8609679Z                     }
2022-11-23T01:32:29.8609748Z                 }
2022-11-23T01:32:29.8609815Z             }
2022-11-23T01:32:29.8609881Z         }
2022-11-23T01:32:29.8609977Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.8610057Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:29.8610123Z         {
2022-11-23T01:32:29.8610210Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:29.8610277Z             {
2022-11-23T01:32:29.8610364Z                 #pragma GCC ivdep
2022-11-23T01:32:29.8610463Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:29.8610532Z                 {
2022-11-23T01:32:29.8610599Z                     {
2022-11-23T01:32:29.8610672Z                         {
2022-11-23T01:32:29.8610856Z                             auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)];
2022-11-23T01:32:29.8610976Z                             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.8611125Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.8611237Z                             out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2;
2022-11-23T01:32:29.8611311Z                         }
2022-11-23T01:32:29.8611375Z                     }
2022-11-23T01:32:29.8611443Z                 }
2022-11-23T01:32:29.8611510Z             }
2022-11-23T01:32:29.8611576Z         }
2022-11-23T01:32:29.8611643Z     }
2022-11-23T01:32:29.8611707Z }
2022-11-23T01:32:29.8611784Z ''')
2022-11-23T01:32:29.8611796Z 
2022-11-23T01:32:29.8611801Z 
2022-11-23T01:32:29.8611889Z async_compile.wait(globals())
2022-11-23T01:32:29.8611966Z del async_compile
2022-11-23T01:32:29.8611971Z 
2022-11-23T01:32:29.8612078Z def call(args):
2022-11-23T01:32:29.8612156Z     arg0_1, = args
2022-11-23T01:32:29.8612231Z     args.clear()
2022-11-23T01:32:29.8612443Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8612720Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8612883Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8612955Z     del arg0_1
2022-11-23T01:32:29.8613036Z     return (buf0, buf1, )
2022-11-23T01:32:29.8613041Z 
2022-11-23T01:32:29.8613046Z 
2022-11-23T01:32:29.8613126Z if __name__ == "__main__":
2022-11-23T01:32:29.8613246Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8613375Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8613585Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8613703Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8613708Z 
2022-11-23T01:32:29.8613772Z ok (1.627s)
2022-11-23T01:32:29.8614068Z   test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:23:44,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8614382Z [2022-11-23 01:23:44,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8614601Z [2022-11-23 01:23:44,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8614855Z [2022-11-23 01:23:44,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8615133Z [2022-11-23 01:23:44,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8615450Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8615789Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8616108Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8616473Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665> 
2022-11-23T01:32:29.8616575Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8616668Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:29.8616764Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8616859Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8616955Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8617056Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8617153Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:29.8617250Z               14 LOAD_CONST               1 (3.0)
2022-11-23T01:32:29.8617341Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8617428Z               18 BINARY_MULTIPLY
2022-11-23T01:32:29.8617521Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8617612Z               22 CALL_METHOD              2
2022-11-23T01:32:29.8617708Z               24 LOAD_CONST               2 (2.0)
2022-11-23T01:32:29.8617793Z               26 BINARY_SUBTRACT
2022-11-23T01:32:29.8617887Z               28 BUILD_TUPLE              2
2022-11-23T01:32:29.8617961Z               30 RETURN_VALUE
2022-11-23T01:32:29.8618026Z  
2022-11-23T01:32:29.8618031Z 
2022-11-23T01:32:29.8618372Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666
2022-11-23T01:32:29.8618594Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8619082Z [2022-11-23 01:23:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8619446Z [2022-11-23 01:23:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8619785Z [2022-11-23 01:23:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8620153Z [2022-11-23 01:23:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8620404Z [2022-11-23 01:23:44,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.8620787Z [2022-11-23 01:23:44,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8621135Z [2022-11-23 01:23:44,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8621499Z [2022-11-23 01:23:44,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:29.8621920Z [2022-11-23 01:23:44,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:29.8622285Z [2022-11-23 01:23:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8622682Z [2022-11-23 01:23:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8622948Z [2022-11-23 01:23:44,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8623259Z [2022-11-23 01:23:44,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8623524Z [2022-11-23 01:23:44,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8623770Z [2022-11-23 01:23:44,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8624138Z [2022-11-23 01:23:44,535] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665>
2022-11-23T01:32:29.8624385Z [2022-11-23 01:23:44,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8624619Z [2022-11-23 01:23:44,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8624865Z [2022-11-23 01:23:44,536] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8625115Z [2022-11-23 01:23:44,540] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8625307Z [2022-11-23 01:23:44,540] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8625484Z  __compiled_fn_91 <eval_with_key>.580 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8625579Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8625672Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8625907Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8626113Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T01:32:29.8626340Z call_function, fmod_1, <built-in method fmod of type object at 0x7f209c394c60>, (mul, ex_1_), {}
2022-11-23T01:32:29.8626522Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T01:32:29.8626629Z output, output, output, ((fmod, sub),), {}
2022-11-23T01:32:29.8626634Z 
2022-11-23T01:32:29.8626960Z [2022-11-23 01:23:44,540] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8627060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8627156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8627251Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8627349Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8627433Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8627532Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8627615Z              12 RETURN_VALUE
2022-11-23T01:32:29.8627621Z 
2022-11-23T01:32:29.8627686Z  
2022-11-23T01:32:29.8628015Z [2022-11-23 01:23:44,540] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8628129Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_91)
2022-11-23T01:32:29.8628224Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8628319Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8628394Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8628487Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8628585Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8628667Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8628763Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8628874Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8628986Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8629075Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8629155Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8629265Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8629360Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8629441Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8629533Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.8629615Z              32 RETURN_VALUE
2022-11-23T01:32:29.8629620Z 
2022-11-23T01:32:29.8629678Z  
2022-11-23T01:32:29.8629865Z [2022-11-23 01:23:44,541] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8629940Z  - 
2022-11-23T01:32:29.8630065Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8630134Z             {
2022-11-23T01:32:29.8630350Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8630566Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8630682Z                 'obj_weakref': None
2022-11-23T01:32:29.8630907Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8630977Z             }
2022-11-23T01:32:29.8631045Z             
2022-11-23T01:32:29.8631119Z  - 
2022-11-23T01:32:29.8631248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8631318Z             {
2022-11-23T01:32:29.8631457Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8631569Z                 'code': None,
2022-11-23T01:32:29.8631777Z                 'obj_weakref': <weakref at 0x7f20233c8450; to 'Tensor' at 0x7f20233cba10>
2022-11-23T01:32:29.8632074Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8632144Z             }
2022-11-23T01:32:29.8632211Z             
2022-11-23T01:32:29.8632286Z  - 
2022-11-23T01:32:29.8632431Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8632500Z             {
2022-11-23T01:32:29.8632648Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8632760Z                 'code': None,
2022-11-23T01:32:29.8632962Z                 'obj_weakref': <weakref at 0x7f202320af70; to 'Tensor' at 0x7f20601ee3e0>
2022-11-23T01:32:29.8633202Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8633271Z             }
2022-11-23T01:32:29.8633338Z             
2022-11-23T01:32:29.8633406Z  - 
2022-11-23T01:32:29.8633543Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8633615Z             {
2022-11-23T01:32:29.8633753Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8633929Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8634050Z                 'obj_weakref': None
2022-11-23T01:32:29.8634278Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8634344Z             }
2022-11-23T01:32:29.8634411Z             
2022-11-23T01:32:29.8634485Z  - 
2022-11-23T01:32:29.8634610Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8634676Z             {
2022-11-23T01:32:29.8634814Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8635026Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8635148Z                 'obj_weakref': None
2022-11-23T01:32:29.8635369Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8635437Z             }
2022-11-23T01:32:29.8635506Z             
2022-11-23T01:32:29.8635579Z  - 
2022-11-23T01:32:29.8635718Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8635780Z             {
2022-11-23T01:32:29.8635901Z                 'guard_types': None,
2022-11-23T01:32:29.8636014Z                 'code': None,
2022-11-23T01:32:29.8636135Z                 'obj_weakref': None
2022-11-23T01:32:29.8636259Z                 'guarded_class': None
2022-11-23T01:32:29.8636326Z             }
2022-11-23T01:32:29.8636393Z             
2022-11-23T01:32:29.8636645Z [2022-11-23 01:23:44,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90
2022-11-23T01:32:29.8637010Z [2022-11-23 01:23:46,582] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dj/cdjsapkaasttzdlaiezh3mzmdfn3aoiucnk7cyl7syvxgyzzxxsk.py
2022-11-23T01:32:29.8637271Z [2022-11-23 01:23:46,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90
2022-11-23T01:32:29.8637277Z 
2022-11-23T01:32:29.8637376Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8637452Z import torch
2022-11-23T01:32:29.8637526Z import random
2022-11-23T01:32:29.8637646Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8637771Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8637783Z 
2022-11-23T01:32:29.8637859Z aten = torch.ops.aten
2022-11-23T01:32:29.8637998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8638094Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8638099Z 
2022-11-23T01:32:29.8638173Z import triton
2022-11-23T01:32:29.8638265Z import triton.language as tl
2022-11-23T01:32:29.8638390Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8638531Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8638536Z 
2022-11-23T01:32:29.8638541Z 
2022-11-23T01:32:29.8638676Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8638910Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8639038Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8639148Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8639277Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8639379Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8639444Z {
2022-11-23T01:32:29.8639548Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8639607Z     {
2022-11-23T01:32:29.8639688Z         #pragma omp for 
2022-11-23T01:32:29.8639774Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:29.8639841Z         {
2022-11-23T01:32:29.8639985Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8640124Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.8640219Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:32:29.8640364Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:32:29.8640448Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8640543Z             auto tmp5 = tmp4.fmod(tmp1);
2022-11-23T01:32:29.8640687Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:32:29.8640822Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:29.8640917Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8641011Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8641079Z         }
2022-11-23T01:32:29.8641171Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8641259Z         for(long i0=72; i0<72; i0+=1)
2022-11-23T01:32:29.8641326Z         {
2022-11-23T01:32:29.8641414Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8641503Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.8641609Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:29.8641717Z             auto tmp3 = static_cast<float>(3.0);
2022-11-23T01:32:29.8641799Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8641905Z             auto tmp5 = std::fmod(tmp4, tmp1);
2022-11-23T01:32:29.8642012Z             auto tmp6 = static_cast<float>(2.0);
2022-11-23T01:32:29.8642138Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:29.8642228Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8642314Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:29.8642381Z         }
2022-11-23T01:32:29.8642441Z     }
2022-11-23T01:32:29.8642504Z }
2022-11-23T01:32:29.8642587Z ''')
2022-11-23T01:32:29.8642593Z 
2022-11-23T01:32:29.8642597Z 
2022-11-23T01:32:29.8642691Z async_compile.wait(globals())
2022-11-23T01:32:29.8642766Z del async_compile
2022-11-23T01:32:29.8642771Z 
2022-11-23T01:32:29.8642845Z def call(args):
2022-11-23T01:32:29.8642923Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8642992Z     args.clear()
2022-11-23T01:32:29.8643206Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8643418Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8643617Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8643693Z     del arg0_1
2022-11-23T01:32:29.8643765Z     del arg1_1
2022-11-23T01:32:29.8643845Z     return (buf0, buf1, )
2022-11-23T01:32:29.8643850Z 
2022-11-23T01:32:29.8643854Z 
2022-11-23T01:32:29.8643934Z if __name__ == "__main__":
2022-11-23T01:32:29.8644046Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8644174Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8644387Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8644596Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8644715Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8644720Z 
2022-11-23T01:32:29.8644791Z ok (2.058s)
2022-11-23T01:32:29.8645132Z   test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8645451Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8645692Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8645939Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8646215Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8646531Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8646878Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8647203Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8647572Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:29.8647677Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8647775Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:29.8647871Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8647959Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8648054Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8648148Z               10 BUILD_TUPLE              1
2022-11-23T01:32:29.8648231Z               12 RETURN_VALUE
2022-11-23T01:32:29.8648299Z  
2022-11-23T01:32:29.8648304Z 
2022-11-23T01:32:29.8648614Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:29.8648838Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8649195Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8649510Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8649842Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8650212Z [2022-11-23 01:23:46,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8650457Z [2022-11-23 01:23:46,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.8650702Z [2022-11-23 01:23:46,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8651073Z [2022-11-23 01:23:46,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:29.8651318Z [2022-11-23 01:23:46,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8651552Z [2022-11-23 01:23:46,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8651833Z [2022-11-23 01:23:46,590] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8652082Z [2022-11-23 01:23:46,592] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8652296Z [2022-11-23 01:23:46,593] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8652430Z  __compiled_fn_92 <eval_with_key>.586 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8652523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8652615Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8652846Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8652947Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:29.8652952Z 
2022-11-23T01:32:29.8653279Z [2022-11-23 01:23:46,593] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8653383Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8653480Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8653566Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8653664Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8653758Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8653851Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8653933Z              12 RETURN_VALUE
2022-11-23T01:32:29.8653938Z 
2022-11-23T01:32:29.8654003Z  
2022-11-23T01:32:29.8654332Z [2022-11-23 01:23:46,593] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8654447Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_92)
2022-11-23T01:32:29.8654536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8654632Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8654712Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8654807Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8654901Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8654980Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8655076Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8655181Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8655290Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8655385Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8655465Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8655555Z              24 BUILD_TUPLE              1
2022-11-23T01:32:29.8655636Z              26 RETURN_VALUE
2022-11-23T01:32:29.8655641Z 
2022-11-23T01:32:29.8655705Z  
2022-11-23T01:32:29.8655884Z [2022-11-23 01:23:46,594] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8655960Z  - 
2022-11-23T01:32:29.8656082Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8656151Z             {
2022-11-23T01:32:29.8656296Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8656487Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8656609Z                 'obj_weakref': None
2022-11-23T01:32:29.8656830Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8656898Z             }
2022-11-23T01:32:29.8656965Z             
2022-11-23T01:32:29.8657039Z  - 
2022-11-23T01:32:29.8657168Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8657236Z             {
2022-11-23T01:32:29.8657380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8657484Z                 'code': None,
2022-11-23T01:32:29.8657688Z                 'obj_weakref': <weakref at 0x7f2023228040; to 'Tensor' at 0x7f20233cb0b0>
2022-11-23T01:32:29.8657936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8658005Z             }
2022-11-23T01:32:29.8658101Z             
2022-11-23T01:32:29.8658177Z  - 
2022-11-23T01:32:29.8658303Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8658365Z             {
2022-11-23T01:32:29.8658534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8658644Z                 'code': None,
2022-11-23T01:32:29.8658976Z                 'obj_weakref': <weakref at 0x7f2023229440; to 'Tensor' at 0x7f20601ee3e0>
2022-11-23T01:32:29.8659221Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8659290Z             }
2022-11-23T01:32:29.8659358Z             
2022-11-23T01:32:29.8659425Z  - 
2022-11-23T01:32:29.8659558Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8659626Z             {
2022-11-23T01:32:29.8659763Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8659936Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8660060Z                 'obj_weakref': None
2022-11-23T01:32:29.8660286Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8660349Z             }
2022-11-23T01:32:29.8660422Z             
2022-11-23T01:32:29.8660496Z  - 
2022-11-23T01:32:29.8660620Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8660688Z             {
2022-11-23T01:32:29.8660827Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8661045Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8661160Z                 'obj_weakref': None
2022-11-23T01:32:29.8661382Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8661454Z             }
2022-11-23T01:32:29.8661524Z             
2022-11-23T01:32:29.8661599Z  - 
2022-11-23T01:32:29.8661735Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8661802Z             {
2022-11-23T01:32:29.8661921Z                 'guard_types': None,
2022-11-23T01:32:29.8662030Z                 'code': None,
2022-11-23T01:32:29.8662150Z                 'obj_weakref': None
2022-11-23T01:32:29.8662276Z                 'guarded_class': None
2022-11-23T01:32:29.8662343Z             }
2022-11-23T01:32:29.8662409Z             
2022-11-23T01:32:29.8662668Z [2022-11-23 01:23:46,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91
2022-11-23T01:32:29.8663018Z [2022-11-23 01:23:48,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oe/coee4k3blygq35znaevego2dnzcj43lwoinzpdagq275xpyr5ylf.py
2022-11-23T01:32:29.8663278Z [2022-11-23 01:23:48,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91
2022-11-23T01:32:29.8663513Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8663830Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8664048Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8664302Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8664577Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8664890Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8665228Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8665597Z [2022-11-23 01:23:48,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8665963Z [2022-11-23 01:23:48,400] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:29.8666100Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8666205Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:29.8666301Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8666394Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8666489Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8666583Z               10 BUILD_TUPLE              1
2022-11-23T01:32:29.8666663Z               12 RETURN_VALUE
2022-11-23T01:32:29.8666722Z  
2022-11-23T01:32:29.8666727Z 
2022-11-23T01:32:29.8667047Z [2022-11-23 01:23:48,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:29.8667272Z [2022-11-23 01:23:48,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8667633Z [2022-11-23 01:23:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8667957Z [2022-11-23 01:23:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8668301Z [2022-11-23 01:23:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8668676Z [2022-11-23 01:23:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8668924Z [2022-11-23 01:23:48,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:29.8669172Z [2022-11-23 01:23:48,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8669551Z [2022-11-23 01:23:48,409] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:29.8669800Z [2022-11-23 01:23:48,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8670031Z [2022-11-23 01:23:48,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8670357Z [2022-11-23 01:23:48,410] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8670652Z [2022-11-23 01:23:48,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8670850Z [2022-11-23 01:23:48,413] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8670990Z  __compiled_fn_93 <eval_with_key>.592 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8671084Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8671179Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8671413Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8671512Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:29.8671519Z 
2022-11-23T01:32:29.8671883Z [2022-11-23 01:23:48,414] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8671982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8672078Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8672171Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8672273Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8672405Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8672501Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8672576Z              12 RETURN_VALUE
2022-11-23T01:32:29.8672606Z 
2022-11-23T01:32:29.8672673Z  
2022-11-23T01:32:29.8672997Z [2022-11-23 01:23:48,414] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8673112Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_93)
2022-11-23T01:32:29.8673206Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8673302Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8673384Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8673470Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8673564Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8673645Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8673738Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8673853Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8673961Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8674060Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8674134Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8674225Z              24 BUILD_TUPLE              1
2022-11-23T01:32:29.8674306Z              26 RETURN_VALUE
2022-11-23T01:32:29.8674311Z 
2022-11-23T01:32:29.8674375Z  
2022-11-23T01:32:29.8674562Z [2022-11-23 01:23:48,415] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8674636Z  - 
2022-11-23T01:32:29.8674759Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8674830Z             {
2022-11-23T01:32:29.8674967Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8675154Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8675276Z                 'obj_weakref': None
2022-11-23T01:32:29.8675500Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8675569Z             }
2022-11-23T01:32:29.8675636Z             
2022-11-23T01:32:29.8675716Z  - 
2022-11-23T01:32:29.8675837Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8675904Z             {
2022-11-23T01:32:29.8676049Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8676160Z                 'code': None,
2022-11-23T01:32:29.8676363Z                 'obj_weakref': <weakref at 0x7f2023236390; to 'Tensor' at 0x7f20601ee3e0>
2022-11-23T01:32:29.8676612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8676681Z             }
2022-11-23T01:32:29.8676742Z             
2022-11-23T01:32:29.8676815Z  - 
2022-11-23T01:32:29.8676941Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8677009Z             {
2022-11-23T01:32:29.8677155Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8677265Z                 'code': None,
2022-11-23T01:32:29.8677471Z                 'obj_weakref': <weakref at 0x7f2023235120; to 'Tensor' at 0x7f20233e4bd0>
2022-11-23T01:32:29.8677708Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8677776Z             }
2022-11-23T01:32:29.8677844Z             
2022-11-23T01:32:29.8677918Z  - 
2022-11-23T01:32:29.8678052Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8678118Z             {
2022-11-23T01:32:29.8678258Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8678424Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8678551Z                 'obj_weakref': None
2022-11-23T01:32:29.8678778Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8678846Z             }
2022-11-23T01:32:29.8678912Z             
2022-11-23T01:32:29.8679028Z  - 
2022-11-23T01:32:29.8679158Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8679219Z             {
2022-11-23T01:32:29.8679360Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8679605Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8679726Z                 'obj_weakref': None
2022-11-23T01:32:29.8679947Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8680015Z             }
2022-11-23T01:32:29.8680081Z             
2022-11-23T01:32:29.8680149Z  - 
2022-11-23T01:32:29.8680284Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8680353Z             {
2022-11-23T01:32:29.8680476Z                 'guard_types': None,
2022-11-23T01:32:29.8680585Z                 'code': None,
2022-11-23T01:32:29.8680704Z                 'obj_weakref': None
2022-11-23T01:32:29.8680821Z                 'guarded_class': None
2022-11-23T01:32:29.8680894Z             }
2022-11-23T01:32:29.8680962Z             
2022-11-23T01:32:29.8681221Z [2022-11-23 01:23:48,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92
2022-11-23T01:32:29.8681585Z [2022-11-23 01:23:50,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2f/c2fslrbyxqc4ycyufocq373rftyol27jrksikrhowlhlsvwc4amo.py
2022-11-23T01:32:29.8681844Z [2022-11-23 01:23:50,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92
2022-11-23T01:32:29.8681851Z 
2022-11-23T01:32:29.8681949Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8682022Z import torch
2022-11-23T01:32:29.8682089Z import random
2022-11-23T01:32:29.8682210Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8682335Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8682341Z 
2022-11-23T01:32:29.8682423Z aten = torch.ops.aten
2022-11-23T01:32:29.8682565Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8682662Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8682667Z 
2022-11-23T01:32:29.8682741Z import triton
2022-11-23T01:32:29.8682833Z import triton.language as tl
2022-11-23T01:32:29.8682957Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8683098Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8683104Z 
2022-11-23T01:32:29.8683108Z 
2022-11-23T01:32:29.8683246Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8683458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8683582Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8683691Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8683795Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8683860Z {
2022-11-23T01:32:29.8683956Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8684024Z     {
2022-11-23T01:32:29.8684110Z         #pragma omp for 
2022-11-23T01:32:29.8684196Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.8684264Z         {
2022-11-23T01:32:29.8684407Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8684533Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:29.8684623Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:32:29.8684720Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8684788Z         }
2022-11-23T01:32:29.8684888Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8684974Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.8685041Z         {
2022-11-23T01:32:29.8685130Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8685211Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:29.8685317Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:29.8685403Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8685500Z         }
2022-11-23T01:32:29.8685572Z     }
2022-11-23T01:32:29.8685639Z }
2022-11-23T01:32:29.8685718Z ''')
2022-11-23T01:32:29.8685729Z 
2022-11-23T01:32:29.8685734Z 
2022-11-23T01:32:29.8685847Z async_compile.wait(globals())
2022-11-23T01:32:29.8685925Z del async_compile
2022-11-23T01:32:29.8685930Z 
2022-11-23T01:32:29.8686005Z def call(args):
2022-11-23T01:32:29.8686084Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8686161Z     args.clear()
2022-11-23T01:32:29.8686358Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8686525Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8686591Z     del arg0_1
2022-11-23T01:32:29.8686661Z     del arg1_1
2022-11-23T01:32:29.8686736Z     return (buf0, )
2022-11-23T01:32:29.8686741Z 
2022-11-23T01:32:29.8686746Z 
2022-11-23T01:32:29.8686826Z if __name__ == "__main__":
2022-11-23T01:32:29.8686944Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8687075Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8687273Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8687465Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8687577Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8687582Z 
2022-11-23T01:32:29.8687593Z 
2022-11-23T01:32:29.8687683Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8687756Z import torch
2022-11-23T01:32:29.8687831Z import random
2022-11-23T01:32:29.8687949Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8688072Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8688077Z 
2022-11-23T01:32:29.8688158Z aten = torch.ops.aten
2022-11-23T01:32:29.8688298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8688388Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8688393Z 
2022-11-23T01:32:29.8688469Z import triton
2022-11-23T01:32:29.8688561Z import triton.language as tl
2022-11-23T01:32:29.8688687Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8688827Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8688836Z 
2022-11-23T01:32:29.8688840Z 
2022-11-23T01:32:29.8688978Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8689183Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8689306Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8689408Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8689514Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8689580Z {
2022-11-23T01:32:29.8689682Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8689747Z     {
2022-11-23T01:32:29.8689828Z         #pragma omp for 
2022-11-23T01:32:29.8689915Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.8689979Z         {
2022-11-23T01:32:29.8690107Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:29.8690246Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.8690346Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:32:29.8690440Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8690508Z         }
2022-11-23T01:32:29.8690606Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8690686Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:29.8690751Z         {
2022-11-23T01:32:29.8690838Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:29.8690927Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.8691033Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:29.8691118Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8691186Z         }
2022-11-23T01:32:29.8691245Z     }
2022-11-23T01:32:29.8691324Z }
2022-11-23T01:32:29.8691417Z ''')
2022-11-23T01:32:29.8691423Z 
2022-11-23T01:32:29.8691461Z 
2022-11-23T01:32:29.8691574Z async_compile.wait(globals())
2022-11-23T01:32:29.8691655Z del async_compile
2022-11-23T01:32:29.8691660Z 
2022-11-23T01:32:29.8691735Z def call(args):
2022-11-23T01:32:29.8691837Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8691905Z     args.clear()
2022-11-23T01:32:29.8692100Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8692264Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8692337Z     del arg0_1
2022-11-23T01:32:29.8692408Z     del arg1_1
2022-11-23T01:32:29.8692483Z     return (buf0, )
2022-11-23T01:32:29.8692488Z 
2022-11-23T01:32:29.8692492Z 
2022-11-23T01:32:29.8692572Z if __name__ == "__main__":
2022-11-23T01:32:29.8692689Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8692811Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8693000Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8693191Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8693309Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8693318Z 
2022-11-23T01:32:29.8693391Z ok (3.509s)
2022-11-23T01:32:29.8693695Z   test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8694006Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8694224Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8694467Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8694747Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8695059Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8695399Z [2022-11-23 01:23:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8695718Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8696084Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806> 
2022-11-23T01:32:29.8696188Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8696295Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T01:32:29.8696395Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8696486Z                6 LOAD_CONST               1 (7.777)
2022-11-23T01:32:29.8696578Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8696679Z               10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8696764Z               12 BINARY_SUBTRACT
2022-11-23T01:32:29.8696847Z               14 RETURN_VALUE
2022-11-23T01:32:29.8696913Z  
2022-11-23T01:32:29.8696918Z 
2022-11-23T01:32:29.8697231Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807
2022-11-23T01:32:29.8697452Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8697812Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8698162Z [2022-11-23 01:23:50,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8698514Z [2022-11-23 01:23:50,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8699051Z [2022-11-23 01:23:50,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.8699293Z [2022-11-23 01:23:50,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.8699577Z [2022-11-23 01:23:50,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8699826Z [2022-11-23 01:23:50,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8700200Z [2022-11-23 01:23:50,100] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806>
2022-11-23T01:32:29.8700449Z [2022-11-23 01:23:50,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8700684Z [2022-11-23 01:23:50,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8700934Z [2022-11-23 01:23:50,101] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8701175Z [2022-11-23 01:23:50,105] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8701371Z [2022-11-23 01:23:50,105] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8701511Z  __compiled_fn_94 <eval_with_key>.598 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8701605Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8701856Z call_function, full_like, <built-in method full_like of type object at 0x7f209c394c60>, (ex_0_, 7.777), {}
2022-11-23T01:32:29.8702042Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T01:32:29.8702141Z output, output, output, ((sub,),), {}
2022-11-23T01:32:29.8702147Z 
2022-11-23T01:32:29.8702466Z [2022-11-23 01:23:50,106] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8702566Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8702655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8702747Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8702845Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8702941Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8703035Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8703120Z              12 RETURN_VALUE
2022-11-23T01:32:29.8703125Z 
2022-11-23T01:32:29.8703191Z  
2022-11-23T01:32:29.8703502Z [2022-11-23 01:23:50,106] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8703620Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_94)
2022-11-23T01:32:29.8703714Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8703809Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8703890Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8703982Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8704078Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8704152Z              12 RETURN_VALUE
2022-11-23T01:32:29.8704164Z 
2022-11-23T01:32:29.8704222Z  
2022-11-23T01:32:29.8704407Z [2022-11-23 01:23:50,107] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8704482Z  - 
2022-11-23T01:32:29.8704652Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8704724Z             {
2022-11-23T01:32:29.8704870Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8705059Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8705205Z                 'obj_weakref': None
2022-11-23T01:32:29.8705430Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8705498Z             }
2022-11-23T01:32:29.8705565Z             
2022-11-23T01:32:29.8705641Z  - 
2022-11-23T01:32:29.8705768Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8705836Z             {
2022-11-23T01:32:29.8705975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8706086Z                 'code': None,
2022-11-23T01:32:29.8706292Z                 'obj_weakref': <weakref at 0x7f2023229a80; to 'Tensor' at 0x7f20601ee3e0>
2022-11-23T01:32:29.8706542Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8706611Z             }
2022-11-23T01:32:29.8706679Z             
2022-11-23T01:32:29.8706753Z  - 
2022-11-23T01:32:29.8706881Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8706953Z             {
2022-11-23T01:32:29.8707091Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8707271Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8707393Z                 'obj_weakref': None
2022-11-23T01:32:29.8707624Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8707691Z             }
2022-11-23T01:32:29.8707752Z             
2022-11-23T01:32:29.8707827Z  - 
2022-11-23T01:32:29.8707953Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8708021Z             {
2022-11-23T01:32:29.8708162Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8708385Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8708507Z                 'obj_weakref': None
2022-11-23T01:32:29.8708722Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8708797Z             }
2022-11-23T01:32:29.8708867Z             
2022-11-23T01:32:29.8708941Z  - 
2022-11-23T01:32:29.8709077Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8709144Z             {
2022-11-23T01:32:29.8709261Z                 'guard_types': None,
2022-11-23T01:32:29.8709370Z                 'code': None,
2022-11-23T01:32:29.8709490Z                 'obj_weakref': None
2022-11-23T01:32:29.8709614Z                 'guarded_class': None
2022-11-23T01:32:29.8709682Z             }
2022-11-23T01:32:29.8709749Z             
2022-11-23T01:32:29.8710006Z [2022-11-23 01:23:50,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93
2022-11-23T01:32:29.8710452Z [2022-11-23 01:23:51,748] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/36/c36wdoaly2d7hzxqmf2k2zfs5wvr7mh2rt47w764opy5ilwdom7i.py
2022-11-23T01:32:29.8710732Z [2022-11-23 01:23:51,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93
2022-11-23T01:32:29.8710741Z 
2022-11-23T01:32:29.8710841Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8710913Z import torch
2022-11-23T01:32:29.8710987Z import random
2022-11-23T01:32:29.8711108Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8711232Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8711238Z 
2022-11-23T01:32:29.8711319Z aten = torch.ops.aten
2022-11-23T01:32:29.8711459Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8711549Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8711554Z 
2022-11-23T01:32:29.8711628Z import triton
2022-11-23T01:32:29.8711720Z import triton.language as tl
2022-11-23T01:32:29.8711883Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8712026Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8712032Z 
2022-11-23T01:32:29.8712036Z 
2022-11-23T01:32:29.8712201Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8712410Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8712529Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8712587Z {
2022-11-23T01:32:29.8712690Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8712757Z     {
2022-11-23T01:32:29.8712840Z         #pragma omp for 
2022-11-23T01:32:29.8712927Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.8712996Z         {
2022-11-23T01:32:29.8713144Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(7.777));
2022-11-23T01:32:29.8713278Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8713411Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.8713507Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8713574Z         }
2022-11-23T01:32:29.8713673Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8713763Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:29.8713831Z         {
2022-11-23T01:32:29.8713931Z             auto tmp0 = static_cast<float>(7.777);
2022-11-23T01:32:29.8714035Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.8714162Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.8714250Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.8714317Z         }
2022-11-23T01:32:29.8714382Z     }
2022-11-23T01:32:29.8714439Z }
2022-11-23T01:32:29.8714523Z ''')
2022-11-23T01:32:29.8714529Z 
2022-11-23T01:32:29.8714533Z 
2022-11-23T01:32:29.8714630Z async_compile.wait(globals())
2022-11-23T01:32:29.8714707Z del async_compile
2022-11-23T01:32:29.8714713Z 
2022-11-23T01:32:29.8714789Z def call(args):
2022-11-23T01:32:29.8714863Z     arg0_1, = args
2022-11-23T01:32:29.8714941Z     args.clear()
2022-11-23T01:32:29.8715136Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8715236Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8715316Z     return (buf0, )
2022-11-23T01:32:29.8715321Z 
2022-11-23T01:32:29.8715326Z 
2022-11-23T01:32:29.8715404Z if __name__ == "__main__":
2022-11-23T01:32:29.8715521Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8715648Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8715843Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8715955Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8715960Z 
2022-11-23T01:32:29.8716030Z ok (1.657s)
2022-11-23T01:32:29.8716329Z   test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8716642Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8716861Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8717122Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8717398Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8717711Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8718050Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8718446Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8718811Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428> 
2022-11-23T01:32:29.8718937Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8719027Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8719111Z                4 BINARY_ADD
2022-11-23T01:32:29.8719209Z                6 LOAD_FAST                2 (c)
2022-11-23T01:32:29.8719301Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:29.8719378Z               10 BINARY_ADD
2022-11-23T01:32:29.8719471Z               12 BUILD_TUPLE              2
2022-11-23T01:32:29.8719552Z               14 RETURN_VALUE
2022-11-23T01:32:29.8719610Z  
2022-11-23T01:32:29.8719615Z 
2022-11-23T01:32:29.8719927Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429
2022-11-23T01:32:29.8720138Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.8720380Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.8720650Z [2022-11-23 01:23:51,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8720886Z [2022-11-23 01:23:51,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:29.8721148Z [2022-11-23 01:23:51,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8721452Z [2022-11-23 01:23:51,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8721721Z [2022-11-23 01:23:51,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8721965Z [2022-11-23 01:23:51,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8722331Z [2022-11-23 01:23:51,757] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428>
2022-11-23T01:32:29.8722573Z [2022-11-23 01:23:51,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8722807Z [2022-11-23 01:23:51,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8723059Z [2022-11-23 01:23:51,758] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8723310Z [2022-11-23 01:23:51,761] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8723505Z [2022-11-23 01:23:51,761] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8723644Z  __compiled_fn_95 <eval_with_key>.604 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8723738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8723826Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8723916Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.8724100Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.8724279Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:29.8724386Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:29.8724391Z 
2022-11-23T01:32:29.8724719Z [2022-11-23 01:23:51,761] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8724819Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8724914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8725038Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8725137Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8725228Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8725323Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8725427Z              12 RETURN_VALUE
2022-11-23T01:32:29.8725432Z 
2022-11-23T01:32:29.8725497Z  
2022-11-23T01:32:29.8725827Z [2022-11-23 01:23:51,761] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8725941Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_95)
2022-11-23T01:32:29.8726030Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8726125Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8726209Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8726302Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8726398Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8726480Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8726572Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8726657Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8726742Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.8726836Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.8726947Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8727054Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8727151Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8727231Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8727331Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8727425Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8727505Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.8727597Z              36 BUILD_TUPLE              2
2022-11-23T01:32:29.8727678Z              38 RETURN_VALUE
2022-11-23T01:32:29.8727684Z 
2022-11-23T01:32:29.8727750Z  
2022-11-23T01:32:29.8727938Z [2022-11-23 01:23:51,762] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8728007Z  - 
2022-11-23T01:32:29.8728131Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8728204Z             {
2022-11-23T01:32:29.8728349Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8728540Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.8728664Z                 'obj_weakref': None
2022-11-23T01:32:29.8728890Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8728959Z             }
2022-11-23T01:32:29.8729020Z             
2022-11-23T01:32:29.8729094Z  - 
2022-11-23T01:32:29.8729223Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8729290Z             {
2022-11-23T01:32:29.8729437Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8729549Z                 'code': None,
2022-11-23T01:32:29.8729756Z                 'obj_weakref': <weakref at 0x7f20232098a0; to 'Tensor' at 0x7f2060124e00>
2022-11-23T01:32:29.8730011Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8730087Z             }
2022-11-23T01:32:29.8730155Z             
2022-11-23T01:32:29.8730229Z  - 
2022-11-23T01:32:29.8730357Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8730426Z             {
2022-11-23T01:32:29.8730564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8730674Z                 'code': None,
2022-11-23T01:32:29.8730884Z                 'obj_weakref': <weakref at 0x7f202320a930; to 'Tensor' at 0x7f2151eec220>
2022-11-23T01:32:29.8731125Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8731196Z             }
2022-11-23T01:32:29.8731263Z             
2022-11-23T01:32:29.8731339Z  - 
2022-11-23T01:32:29.8731492Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.8731561Z             {
2022-11-23T01:32:29.8731706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8731818Z                 'code': None,
2022-11-23T01:32:29.8732050Z                 'obj_weakref': <weakref at 0x7f2023208860; to 'Tensor' at 0x7f2151eec270>
2022-11-23T01:32:29.8732290Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8732360Z             }
2022-11-23T01:32:29.8732428Z             
2022-11-23T01:32:29.8732496Z  - 
2022-11-23T01:32:29.8732631Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8732699Z             {
2022-11-23T01:32:29.8732839Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8733014Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8733138Z                 'obj_weakref': None
2022-11-23T01:32:29.8733369Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8733431Z             }
2022-11-23T01:32:29.8733500Z             
2022-11-23T01:32:29.8733574Z  - 
2022-11-23T01:32:29.8733705Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8733773Z             {
2022-11-23T01:32:29.8733913Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8734131Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8734254Z                 'obj_weakref': None
2022-11-23T01:32:29.8734480Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8734547Z             }
2022-11-23T01:32:29.8734615Z             
2022-11-23T01:32:29.8734876Z [2022-11-23 01:23:51,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94
2022-11-23T01:32:29.8735241Z [2022-11-23 01:23:53,654] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rt/crt6i234uianljq2xamu6jjahs573ds5ykzyanuqxfavqpkpdbnk.py
2022-11-23T01:32:29.8735506Z [2022-11-23 01:23:53,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94
2022-11-23T01:32:29.8735515Z 
2022-11-23T01:32:29.8735614Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8735681Z import torch
2022-11-23T01:32:29.8735757Z import random
2022-11-23T01:32:29.8735876Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8736003Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8736008Z 
2022-11-23T01:32:29.8736091Z aten = torch.ops.aten
2022-11-23T01:32:29.8736229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8736326Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8736331Z 
2022-11-23T01:32:29.8736398Z import triton
2022-11-23T01:32:29.8736491Z import triton.language as tl
2022-11-23T01:32:29.8736617Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8736760Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8736765Z 
2022-11-23T01:32:29.8736770Z 
2022-11-23T01:32:29.8736909Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8737118Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8737244Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8737354Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8737453Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.8737559Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8737660Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8737725Z {
2022-11-23T01:32:29.8737828Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8737897Z     {
2022-11-23T01:32:29.8737979Z         #pragma omp for 
2022-11-23T01:32:29.8738062Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:29.8738167Z         {
2022-11-23T01:32:29.8738260Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:29.8738327Z             {
2022-11-23T01:32:29.8738462Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:29.8738631Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:29.8738722Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8738972Z                 tmp2.store(out_ptr0 + (8*i1) + (128*i0));
2022-11-23T01:32:29.8739042Z             }
2022-11-23T01:32:29.8739141Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.8739237Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:29.8739307Z             {
2022-11-23T01:32:29.8739398Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8739490Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:29.8739574Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8739671Z                 out_ptr0[i1 + (128*i0)] = tmp2;
2022-11-23T01:32:29.8739741Z             }
2022-11-23T01:32:29.8739809Z         }
2022-11-23T01:32:29.8739892Z         #pragma omp for 
2022-11-23T01:32:29.8739979Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:32:29.8740053Z         {
2022-11-23T01:32:29.8740185Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:29.8740323Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.8740412Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8740508Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8740575Z         }
2022-11-23T01:32:29.8740672Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8740766Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:32:29.8740826Z         {
2022-11-23T01:32:29.8740917Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:29.8741023Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.8741114Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8741202Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.8741270Z         }
2022-11-23T01:32:29.8741337Z     }
2022-11-23T01:32:29.8741394Z }
2022-11-23T01:32:29.8741484Z ''')
2022-11-23T01:32:29.8741493Z 
2022-11-23T01:32:29.8741498Z 
2022-11-23T01:32:29.8741590Z async_compile.wait(globals())
2022-11-23T01:32:29.8741667Z del async_compile
2022-11-23T01:32:29.8741672Z 
2022-11-23T01:32:29.8741746Z def call(args):
2022-11-23T01:32:29.8741833Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.8741908Z     args.clear()
2022-11-23T01:32:29.8742108Z     buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8742313Z     buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8742534Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8742606Z     del arg0_1
2022-11-23T01:32:29.8742677Z     del arg1_1
2022-11-23T01:32:29.8742750Z     del arg2_1
2022-11-23T01:32:29.8742832Z     return (buf0, buf1, )
2022-11-23T01:32:29.8742839Z 
2022-11-23T01:32:29.8742843Z 
2022-11-23T01:32:29.8742923Z if __name__ == "__main__":
2022-11-23T01:32:29.8743038Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8743166Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8743369Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8743570Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8743772Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8743902Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.8743907Z 
2022-11-23T01:32:29.8743978Z ok (1.931s)
2022-11-23T01:32:29.8744329Z   test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:53,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8744645Z [2022-11-23 01:23:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8744886Z [2022-11-23 01:23:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8745141Z [2022-11-23 01:23:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8745416Z [2022-11-23 01:23:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8745728Z [2022-11-23 01:23:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8746072Z [2022-11-23 01:23:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8746395Z [2022-11-23 01:23:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8746767Z [2022-11-23 01:23:53,688] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649> 
2022-11-23T01:32:29.8746875Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8746973Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:29.8747063Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8747164Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:29.8747258Z                8 BUILD_LIST               0
2022-11-23T01:32:29.8747365Z               10 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:29.8747461Z               12 LIST_EXTEND              1
2022-11-23T01:32:29.8747553Z               14 CALL_METHOD              1
2022-11-23T01:32:29.8747650Z               16 LOAD_CONST               2 (3)
2022-11-23T01:32:29.8747739Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8747834Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:29.8747914Z               22 BINARY_ADD
2022-11-23T01:32:29.8748006Z               24 CALL_METHOD              3
2022-11-23T01:32:29.8748011Z 
2022-11-23T01:32:29.8748109Z 1652          26 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8748208Z               28 LOAD_METHOD              1 (gather)
2022-11-23T01:32:29.8748301Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8748401Z               32 LOAD_METHOD              2 (expand)
2022-11-23T01:32:29.8748486Z               34 BUILD_LIST               0
2022-11-23T01:32:29.8748588Z               36 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:29.8748679Z               38 LIST_EXTEND              1
2022-11-23T01:32:29.8748770Z               40 CALL_METHOD              1
2022-11-23T01:32:29.8748917Z               42 LOAD_CONST               4 (-1)
2022-11-23T01:32:29.8749012Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8749103Z               46 LOAD_CONST               3 (1)
2022-11-23T01:32:29.8749178Z               48 BINARY_ADD
2022-11-23T01:32:29.8749271Z               50 CALL_METHOD              3
2022-11-23T01:32:29.8749276Z 
2022-11-23T01:32:29.8749368Z 1650          52 BUILD_TUPLE              2
2022-11-23T01:32:29.8749449Z               54 RETURN_VALUE
2022-11-23T01:32:29.8749514Z  
2022-11-23T01:32:29.8749519Z 
2022-11-23T01:32:29.8749831Z [2022-11-23 01:23:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651
2022-11-23T01:32:29.8750050Z [2022-11-23 01:23:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8750533Z [2022-11-23 01:23:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8750887Z [2022-11-23 01:23:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8751257Z [2022-11-23 01:23:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8751640Z [2022-11-23 01:23:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:29.8752056Z [2022-11-23 01:23:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:29.8752504Z [2022-11-23 01:23:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.8752914Z [2022-11-23 01:23:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:29.8753255Z [2022-11-23 01:23:53,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8753628Z [2022-11-23 01:23:53,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8754028Z [2022-11-23 01:23:53,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8754478Z [2022-11-23 01:23:53,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8754894Z [2022-11-23 01:23:53,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8755202Z [2022-11-23 01:23:53,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652
2022-11-23T01:32:29.8755451Z [2022-11-23 01:23:53,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.8755846Z [2022-11-23 01:23:53,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8756195Z [2022-11-23 01:23:53,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8756578Z [2022-11-23 01:23:53,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8756982Z [2022-11-23 01:23:53,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:29.8757438Z [2022-11-23 01:23:53,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:29.8757910Z [2022-11-23 01:23:53,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:29.8758404Z [2022-11-23 01:23:53,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:29.8758781Z [2022-11-23 01:23:53,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8759191Z [2022-11-23 01:23:53,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8759627Z [2022-11-23 01:23:53,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8760096Z [2022-11-23 01:23:53,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8760532Z [2022-11-23 01:23:53,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8760845Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650
2022-11-23T01:32:29.8761112Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8761379Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8761782Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649>
2022-11-23T01:32:29.8762029Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8762268Z [2022-11-23 01:23:53,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8762516Z [2022-11-23 01:23:53,704] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8762765Z [2022-11-23 01:23:53,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8762954Z [2022-11-23 01:23:53,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8763096Z  __compiled_fn_96 <eval_with_key>.610 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8763190Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8763282Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8763397Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:29.8763572Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.8763810Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (expand, 3, add), {}
2022-11-23T01:32:29.8763928Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:29.8764106Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.8764383Z call_function, gather_1, <built-in method gather of type object at 0x7f209c394c60>, (expand_1, -1, add_1), {}
2022-11-23T01:32:29.8764508Z output, output, output, ((gather, gather_1),), {}
2022-11-23T01:32:29.8764514Z 
2022-11-23T01:32:29.8764857Z [2022-11-23 01:23:53,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8764957Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8765053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8765139Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8765237Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8765327Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8765418Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8765498Z              12 RETURN_VALUE
2022-11-23T01:32:29.8765503Z 
2022-11-23T01:32:29.8765567Z  
2022-11-23T01:32:29.8765892Z [2022-11-23 01:23:53,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8766007Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_96)
2022-11-23T01:32:29.8766098Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8766194Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8766276Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8766369Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8766460Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8766541Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8766634Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8766738Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8766845Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8766943Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8767022Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8767130Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8767223Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8767303Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8767393Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.8767474Z              32 RETURN_VALUE
2022-11-23T01:32:29.8767479Z 
2022-11-23T01:32:29.8767543Z  
2022-11-23T01:32:29.8767733Z [2022-11-23 01:23:53,714] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8767809Z  - 
2022-11-23T01:32:29.8767934Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8768002Z             {
2022-11-23T01:32:29.8768140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8768331Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8768455Z                 'obj_weakref': None
2022-11-23T01:32:29.8768680Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8768752Z             }
2022-11-23T01:32:29.8768821Z             
2022-11-23T01:32:29.8768897Z  - 
2022-11-23T01:32:29.8769018Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8769090Z             {
2022-11-23T01:32:29.8769236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8769348Z                 'code': None,
2022-11-23T01:32:29.8769557Z                 'obj_weakref': <weakref at 0x7f20233e4860; to 'Tensor' at 0x7f2151ecfe70>
2022-11-23T01:32:29.8769804Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8769873Z             }
2022-11-23T01:32:29.8769941Z             
2022-11-23T01:32:29.8770009Z  - 
2022-11-23T01:32:29.8770135Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8770204Z             {
2022-11-23T01:32:29.8770351Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8770462Z                 'code': None,
2022-11-23T01:32:29.8770707Z                 'obj_weakref': <weakref at 0x7f202322a5c0; to 'Tensor' at 0x7f202338ad90>
2022-11-23T01:32:29.8770950Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8771041Z             }
2022-11-23T01:32:29.8771111Z             
2022-11-23T01:32:29.8771187Z  - 
2022-11-23T01:32:29.8771323Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8771395Z             {
2022-11-23T01:32:29.8771535Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8771711Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8771829Z                 'obj_weakref': None
2022-11-23T01:32:29.8772057Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8772126Z             }
2022-11-23T01:32:29.8772195Z             
2022-11-23T01:32:29.8772270Z  - 
2022-11-23T01:32:29.8772395Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8772460Z             {
2022-11-23T01:32:29.8772600Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8772816Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8772940Z                 'obj_weakref': None
2022-11-23T01:32:29.8773162Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8773231Z             }
2022-11-23T01:32:29.8773298Z             
2022-11-23T01:32:29.8773374Z  - 
2022-11-23T01:32:29.8773504Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8773572Z             {
2022-11-23T01:32:29.8773694Z                 'guard_types': None,
2022-11-23T01:32:29.8773804Z                 'code': None,
2022-11-23T01:32:29.8773928Z                 'obj_weakref': None
2022-11-23T01:32:29.8774053Z                 'guarded_class': None
2022-11-23T01:32:29.8774114Z             }
2022-11-23T01:32:29.8774182Z             
2022-11-23T01:32:29.8774443Z [2022-11-23 01:23:53,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95
2022-11-23T01:32:29.8774813Z [2022-11-23 01:23:55,766] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qt/cqtxdfpmmcxequtpupjzfdciroyuuvtyewuxcyhwfwxutwbyuutg.py
2022-11-23T01:32:29.8775078Z [2022-11-23 01:23:55,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95
2022-11-23T01:32:29.8775084Z 
2022-11-23T01:32:29.8775187Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8775260Z import torch
2022-11-23T01:32:29.8775336Z import random
2022-11-23T01:32:29.8775451Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8775581Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8775587Z 
2022-11-23T01:32:29.8775673Z aten = torch.ops.aten
2022-11-23T01:32:29.8775812Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8775909Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8775916Z 
2022-11-23T01:32:29.8775992Z import triton
2022-11-23T01:32:29.8776085Z import triton.language as tl
2022-11-23T01:32:29.8776211Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8776349Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8776354Z 
2022-11-23T01:32:29.8776359Z 
2022-11-23T01:32:29.8776496Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8776707Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8776831Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8776943Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8777051Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8777158Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8777228Z {
2022-11-23T01:32:29.8777325Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8777393Z     {
2022-11-23T01:32:29.8777505Z         #pragma omp for 
2022-11-23T01:32:29.8777594Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:29.8777662Z         {
2022-11-23T01:32:29.8777745Z             #pragma GCC ivdep
2022-11-23T01:32:29.8777852Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:29.8777921Z             {
2022-11-23T01:32:29.8777991Z                 {
2022-11-23T01:32:29.8778062Z                     {
2022-11-23T01:32:29.8778174Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:29.8778285Z                         auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:29.8778386Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8778490Z                         auto tmp3 = in_ptr1[tmp2 + (6*i1)];
2022-11-23T01:32:29.8778592Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:29.8778693Z                         out_ptr1[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:29.8778767Z                     }
2022-11-23T01:32:29.8778962Z                 }
2022-11-23T01:32:29.8779035Z             }
2022-11-23T01:32:29.8779105Z         }
2022-11-23T01:32:29.8779165Z     }
2022-11-23T01:32:29.8779230Z }
2022-11-23T01:32:29.8779319Z ''')
2022-11-23T01:32:29.8779328Z 
2022-11-23T01:32:29.8779333Z 
2022-11-23T01:32:29.8779427Z async_compile.wait(globals())
2022-11-23T01:32:29.8779504Z del async_compile
2022-11-23T01:32:29.8779509Z 
2022-11-23T01:32:29.8779584Z def call(args):
2022-11-23T01:32:29.8779664Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8779735Z     args.clear()
2022-11-23T01:32:29.8779952Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8780165Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8780362Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8780435Z     del arg0_1
2022-11-23T01:32:29.8780507Z     del arg1_1
2022-11-23T01:32:29.8780591Z     return (buf0, buf1, )
2022-11-23T01:32:29.8780596Z 
2022-11-23T01:32:29.8780600Z 
2022-11-23T01:32:29.8780681Z if __name__ == "__main__":
2022-11-23T01:32:29.8780793Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8780925Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8781137Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8781349Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8781469Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8781474Z 
2022-11-23T01:32:29.8781546Z ok (2.094s)
2022-11-23T01:32:29.8781665Z   test_gather2_cpu (__main__.CpuTests) ... ok (0.001s)
2022-11-23T01:32:29.8781978Z   test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:23:55,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8782296Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8782506Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8782760Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8783033Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8783345Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8783682Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8784046Z [2022-11-23 01:23:55,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8784414Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376> 
2022-11-23T01:32:29.8784549Z  2377           0 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:29.8784654Z                2 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:29.8784744Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8784827Z                6 BINARY_SUBSCR
2022-11-23T01:32:29.8784908Z                8 BINARY_SUBSCR
2022-11-23T01:32:29.8785018Z               10 STORE_FAST               2 (src_node_feat)
2022-11-23T01:32:29.8785023Z 
2022-11-23T01:32:29.8785126Z 2378          12 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:29.8785230Z               14 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:29.8785328Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8785409Z               18 BINARY_SUBSCR
2022-11-23T01:32:29.8785483Z               20 BINARY_SUBSCR
2022-11-23T01:32:29.8785590Z               22 STORE_FAST               3 (dst_node_feat)
2022-11-23T01:32:29.8785598Z 
2022-11-23T01:32:29.8785706Z 2379          24 LOAD_FAST                2 (src_node_feat)
2022-11-23T01:32:29.8785809Z               26 LOAD_FAST                3 (dst_node_feat)
2022-11-23T01:32:29.8785895Z               28 BINARY_SUBTRACT
2022-11-23T01:32:29.8785991Z               30 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8786070Z               32 BINARY_ADD
2022-11-23T01:32:29.8786165Z               34 STORE_FAST               4 (edge_feat)
2022-11-23T01:32:29.8786176Z 
2022-11-23T01:32:29.8786270Z 2380          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.8786375Z               38 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:29.8786476Z               40 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:29.8786572Z               42 CALL_METHOD              1
2022-11-23T01:32:29.8786678Z               44 STORE_FAST               5 (new_node_feat)
2022-11-23T01:32:29.8786683Z 
2022-11-23T01:32:29.8786789Z 2381          46 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:29.8786898Z               48 LOAD_METHOD              2 (scatter_add_)
2022-11-23T01:32:29.8786903Z 
2022-11-23T01:32:29.8786995Z 2382          50 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8787092Z               52 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:29.8787185Z               54 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8787266Z               56 BINARY_SUBSCR
2022-11-23T01:32:29.8787368Z               58 LOAD_METHOD              3 (unsqueeze)
2022-11-23T01:32:29.8787511Z               60 LOAD_CONST               3 (-1)
2022-11-23T01:32:29.8787604Z               62 CALL_METHOD              1
2022-11-23T01:32:29.8787706Z               64 LOAD_METHOD              4 (expand_as)
2022-11-23T01:32:29.8787803Z               66 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:29.8787895Z               68 CALL_METHOD              1
2022-11-23T01:32:29.8787995Z               70 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:29.8788003Z 
2022-11-23T01:32:29.8788096Z 2381          72 CALL_METHOD              3
2022-11-23T01:32:29.8788173Z               74 POP_TOP
2022-11-23T01:32:29.8788179Z 
2022-11-23T01:32:29.8788284Z 2384          76 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:29.8788364Z               78 RETURN_VALUE
2022-11-23T01:32:29.8788428Z  
2022-11-23T01:32:29.8788433Z 
2022-11-23T01:32:29.8788737Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2377
2022-11-23T01:32:29.8788962Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:29.8789246Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:29.8789517Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8789849Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8790121Z [2022-11-23 01:23:55,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8790468Z [2022-11-23 01:23:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()]
2022-11-23T01:32:29.8790804Z [2022-11-23 01:23:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2378
2022-11-23T01:32:29.8791028Z [2022-11-23 01:23:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:29.8791289Z [2022-11-23 01:23:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:29.8791600Z [2022-11-23 01:23:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8791917Z [2022-11-23 01:23:55,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8792192Z [2022-11-23 01:23:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8792452Z [2022-11-23 01:23:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:29.8792759Z [2022-11-23 01:23:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2379
2022-11-23T01:32:29.8792993Z [2022-11-23 01:23:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat []
2022-11-23T01:32:29.8793250Z [2022-11-23 01:23:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:29.8793529Z [2022-11-23 01:23:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8793772Z [2022-11-23 01:23:55,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.8794040Z [2022-11-23 01:23:55,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8794292Z [2022-11-23 01:23:55,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()]
2022-11-23T01:32:29.8794606Z [2022-11-23 01:23:55,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2380
2022-11-23T01:32:29.8794830Z [2022-11-23 01:23:55,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.8795201Z [2022-11-23 01:23:55,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.8795543Z [2022-11-23 01:23:55,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.8795898Z [2022-11-23 01:23:55,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.8796155Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()]
2022-11-23T01:32:29.8796464Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:32:29.8796722Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:29.8796979Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()]
2022-11-23T01:32:29.8797303Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2382
2022-11-23T01:32:29.8797590Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)]
2022-11-23T01:32:29.8797925Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)]
2022-11-23T01:32:29.8798271Z [2022-11-23 01:23:55,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8798666Z [2022-11-23 01:23:55,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8799026Z [2022-11-23 01:23:55,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8799419Z [2022-11-23 01:23:55,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)]
2022-11-23T01:32:29.8799848Z [2022-11-23 01:23:55,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)]
2022-11-23T01:32:29.8800212Z [2022-11-23 01:23:55,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8800613Z [2022-11-23 01:23:55,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)]
2022-11-23T01:32:29.8801037Z [2022-11-23 01:23:55,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()]
2022-11-23T01:32:29.8801393Z [2022-11-23 01:23:55,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.8801704Z [2022-11-23 01:23:55,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:32:29.8802083Z [2022-11-23 01:23:55,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8802323Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.8802633Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2384
2022-11-23T01:32:29.8802861Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:29.8803112Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8803491Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376>
2022-11-23T01:32:29.8803764Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.8804003Z [2022-11-23 01:23:55,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8804284Z [2022-11-23 01:23:55,801] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8804535Z [2022-11-23 01:23:55,810] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8804729Z [2022-11-23 01:23:55,810] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8804863Z  __compiled_fn_97 <eval_with_key>.616 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8804962Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8805053Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8805244Z call_function, getitem, <built-in function getitem>, (ex_1_, 0), {}
2022-11-23T01:32:29.8805448Z call_function, getitem_1, <built-in function getitem>, (ex_0_, getitem), {}
2022-11-23T01:32:29.8805642Z call_function, getitem_2, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:29.8805846Z call_function, getitem_3, <built-in function getitem>, (ex_0_, getitem_2), {}
2022-11-23T01:32:29.8806041Z call_function, sub, <built-in function sub>, (getitem_1, getitem_3), {}
2022-11-23T01:32:29.8806214Z call_function, add, <built-in function add>, (sub, 1), {}
2022-11-23T01:32:29.8806460Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:29.8806651Z call_function, getitem_4, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:29.8806819Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {}
2022-11-23T01:32:29.8806943Z call_method, expand_as, expand_as, (unsqueeze, add), {}
2022-11-23T01:32:29.8807091Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {}
2022-11-23T01:32:29.8807202Z output, output, output, ((zeros_like,),), {}
2022-11-23T01:32:29.8807210Z 
2022-11-23T01:32:29.8807530Z [2022-11-23 01:23:55,811] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8807633Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8807730Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8807822Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8807919Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8808008Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8808100Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8808184Z              12 RETURN_VALUE
2022-11-23T01:32:29.8808189Z 
2022-11-23T01:32:29.8808247Z  
2022-11-23T01:32:29.8808570Z [2022-11-23 01:23:55,811] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8808688Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_97)
2022-11-23T01:32:29.8808782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8808877Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8808961Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8809054Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8809141Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8809221Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8809315Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8809410Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.8809489Z              18 RETURN_VALUE
2022-11-23T01:32:29.8809495Z 
2022-11-23T01:32:29.8809559Z  
2022-11-23T01:32:29.8809742Z [2022-11-23 01:23:55,812] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8809816Z  - 
2022-11-23T01:32:29.8809932Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8810001Z             {
2022-11-23T01:32:29.8810143Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8810363Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8810486Z                 'obj_weakref': None
2022-11-23T01:32:29.8810734Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8810802Z             }
2022-11-23T01:32:29.8810863Z             
2022-11-23T01:32:29.8810938Z  - 
2022-11-23T01:32:29.8811064Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8811132Z             {
2022-11-23T01:32:29.8811277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8811388Z                 'code': None,
2022-11-23T01:32:29.8811591Z                 'obj_weakref': <weakref at 0x7f20601ef330; to 'Tensor' at 0x7f2060124e00>
2022-11-23T01:32:29.8811840Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8811908Z             }
2022-11-23T01:32:29.8811975Z             
2022-11-23T01:32:29.8812051Z  - 
2022-11-23T01:32:29.8812182Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8812251Z             {
2022-11-23T01:32:29.8812391Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8812505Z                 'code': None,
2022-11-23T01:32:29.8812708Z                 'obj_weakref': <weakref at 0x7f2023414950; to 'Tensor' at 0x7f2151eec310>
2022-11-23T01:32:29.8812949Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8813017Z             }
2022-11-23T01:32:29.8813084Z             
2022-11-23T01:32:29.8813157Z  - 
2022-11-23T01:32:29.8813291Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8813352Z             {
2022-11-23T01:32:29.8813492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8813669Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8813793Z                 'obj_weakref': None
2022-11-23T01:32:29.8814025Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8814094Z             }
2022-11-23T01:32:29.8814161Z             
2022-11-23T01:32:29.8814231Z  - 
2022-11-23T01:32:29.8814361Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8814428Z             {
2022-11-23T01:32:29.8814571Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8814792Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8814912Z                 'obj_weakref': None
2022-11-23T01:32:29.8815134Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8815196Z             }
2022-11-23T01:32:29.8815263Z             
2022-11-23T01:32:29.8815336Z  - 
2022-11-23T01:32:29.8815475Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.8815543Z             {
2022-11-23T01:32:29.8815671Z                 'guard_types': None,
2022-11-23T01:32:29.8815776Z                 'code': None,
2022-11-23T01:32:29.8815898Z                 'obj_weakref': None
2022-11-23T01:32:29.8816023Z                 'guarded_class': None
2022-11-23T01:32:29.8816097Z             }
2022-11-23T01:32:29.8816165Z             
2022-11-23T01:32:29.8816428Z [2022-11-23 01:23:55,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96
2022-11-23T01:32:29.8816793Z [2022-11-23 01:23:57,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/id/cid3b2jn6nddd3tndj5ky7dzjnwoemcz4fwfue2tczyzrvzvlcay.py
2022-11-23T01:32:29.8817059Z [2022-11-23 01:23:57,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96
2022-11-23T01:32:29.8817065Z 
2022-11-23T01:32:29.8817157Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8817232Z import torch
2022-11-23T01:32:29.8817306Z import random
2022-11-23T01:32:29.8817429Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8817602Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8817608Z 
2022-11-23T01:32:29.8817692Z aten = torch.ops.aten
2022-11-23T01:32:29.8817832Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8817992Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8817997Z 
2022-11-23T01:32:29.8818064Z import triton
2022-11-23T01:32:29.8818157Z import triton.language as tl
2022-11-23T01:32:29.8818282Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8818425Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8818431Z 
2022-11-23T01:32:29.8818435Z 
2022-11-23T01:32:29.8818573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8818781Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8819094Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.8819209Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.8819307Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.8819373Z {
2022-11-23T01:32:29.8819475Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8819544Z     {
2022-11-23T01:32:29.8819629Z         #pragma omp for 
2022-11-23T01:32:29.8819718Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.8819779Z         {
2022-11-23T01:32:29.8819922Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:29.8820021Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8820089Z         }
2022-11-23T01:32:29.8820189Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8820277Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:29.8820343Z         {
2022-11-23T01:32:29.8820441Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:29.8820528Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.8820594Z         }
2022-11-23T01:32:29.8820675Z         #pragma omp for 
2022-11-23T01:32:29.8820765Z         for(long i0=0; i0<80; i0+=1)
2022-11-23T01:32:29.8820834Z         {
2022-11-23T01:32:29.8820918Z             #pragma GCC ivdep
2022-11-23T01:32:29.8821001Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:29.8821072Z             {
2022-11-23T01:32:29.8821141Z                 {
2022-11-23T01:32:29.8821213Z                     {
2022-11-23T01:32:29.8821319Z                         auto tmp0 = in_ptr0[80 + i0];
2022-11-23T01:32:29.8821421Z                         auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:29.8821533Z                         auto tmp2 = in_ptr1[i1 + (32*tmp1)];
2022-11-23T01:32:29.8821635Z                         auto tmp3 = in_ptr1[i1 + (32*tmp0)];
2022-11-23T01:32:29.8821781Z                         auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:29.8821895Z                         auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:29.8821992Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:29.8822117Z                         atomic_add(&out_ptr0[i1 + (32*tmp0)], tmp6);
2022-11-23T01:32:29.8822188Z                     }
2022-11-23T01:32:29.8822257Z                 }
2022-11-23T01:32:29.8822319Z             }
2022-11-23T01:32:29.8822384Z         }
2022-11-23T01:32:29.8822452Z     }
2022-11-23T01:32:29.8822516Z }
2022-11-23T01:32:29.8822600Z ''')
2022-11-23T01:32:29.8822606Z 
2022-11-23T01:32:29.8822610Z 
2022-11-23T01:32:29.8822704Z async_compile.wait(globals())
2022-11-23T01:32:29.8822780Z del async_compile
2022-11-23T01:32:29.8822785Z 
2022-11-23T01:32:29.8822853Z def call(args):
2022-11-23T01:32:29.8822932Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8823010Z     args.clear()
2022-11-23T01:32:29.8823211Z     buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8823380Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.8823453Z     del arg0_1
2022-11-23T01:32:29.8823525Z     del arg1_1
2022-11-23T01:32:29.8823594Z     return (buf0, )
2022-11-23T01:32:29.8823655Z 
2022-11-23T01:32:29.8823661Z 
2022-11-23T01:32:29.8823737Z if __name__ == "__main__":
2022-11-23T01:32:29.8823855Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8824012Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8824219Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8824415Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.8824535Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8824541Z 
2022-11-23T01:32:29.8824613Z ok (2.223s)
2022-11-23T01:32:29.8824909Z   test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8825214Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8825436Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8825693Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8825975Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8826289Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8826629Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8826944Z [2022-11-23 01:23:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8827314Z [2022-11-23 01:23:58,010] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438> 
2022-11-23T01:32:29.8827415Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8827517Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:29.8827607Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8827701Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8827796Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:29.8827874Z               10 BINARY_ADD
2022-11-23T01:32:29.8827971Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8828067Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:29.8828160Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8828246Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8828323Z               20 BINARY_ADD
2022-11-23T01:32:29.8828418Z               22 CALL_METHOD              1
2022-11-23T01:32:29.8828513Z               24 BUILD_TUPLE              2
2022-11-23T01:32:29.8828594Z               26 RETURN_VALUE
2022-11-23T01:32:29.8828657Z  
2022-11-23T01:32:29.8828665Z 
2022-11-23T01:32:29.8828978Z [2022-11-23 01:23:58,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439
2022-11-23T01:32:29.8829195Z [2022-11-23 01:23:58,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8829492Z [2022-11-23 01:23:58,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8829746Z [2022-11-23 01:23:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T01:32:29.8830033Z [2022-11-23 01:23:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:29.8830384Z [2022-11-23 01:23:58,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.8830704Z [2022-11-23 01:23:58,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8830975Z [2022-11-23 01:23:58,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8831320Z [2022-11-23 01:23:58,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8831633Z [2022-11-23 01:23:58,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T01:32:29.8831943Z [2022-11-23 01:23:58,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:29.8832293Z [2022-11-23 01:23:58,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8832596Z [2022-11-23 01:23:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:29.8832869Z [2022-11-23 01:23:58,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8833117Z [2022-11-23 01:23:58,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8833495Z [2022-11-23 01:23:58,034] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438>
2022-11-23T01:32:29.8833747Z [2022-11-23 01:23:58,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8833987Z [2022-11-23 01:23:58,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8834242Z [2022-11-23 01:23:58,036] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8834495Z [2022-11-23 01:23:58,042] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8834687Z [2022-11-23 01:23:58,043] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8834819Z  __compiled_fn_98 <eval_with_key>.622 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8834915Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8835022Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T01:32:29.8835197Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T01:32:29.8835376Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.8835486Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T01:32:29.8835593Z output, output, output, ((add, gelu_1),), {}
2022-11-23T01:32:29.8835599Z 
2022-11-23T01:32:29.8835926Z [2022-11-23 01:23:58,043] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8836022Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8836118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8836211Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8836309Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8836399Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8836492Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8836572Z              12 RETURN_VALUE
2022-11-23T01:32:29.8836577Z 
2022-11-23T01:32:29.8836643Z  
2022-11-23T01:32:29.8836963Z [2022-11-23 01:23:58,043] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8837104Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_98)
2022-11-23T01:32:29.8837200Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8837295Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8837379Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8837495Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8837606Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8837708Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8837802Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8837882Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8837989Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8838084Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8838165Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8838260Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.8838334Z              26 RETURN_VALUE
2022-11-23T01:32:29.8838345Z 
2022-11-23T01:32:29.8838404Z  
2022-11-23T01:32:29.8838599Z [2022-11-23 01:23:58,044] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8838675Z  - 
2022-11-23T01:32:29.8838799Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8838870Z             {
2022-11-23T01:32:29.8839016Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8839207Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8839323Z                 'obj_weakref': None
2022-11-23T01:32:29.8839546Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8839614Z             }
2022-11-23T01:32:29.8839683Z             
2022-11-23T01:32:29.8839756Z  - 
2022-11-23T01:32:29.8839885Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8839946Z             {
2022-11-23T01:32:29.8840091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8840201Z                 'code': None,
2022-11-23T01:32:29.8840412Z                 'obj_weakref': <weakref at 0x7f20233c84a0; to 'Tensor' at 0x7f20233b33d0>
2022-11-23T01:32:29.8840660Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8840732Z             }
2022-11-23T01:32:29.8840800Z             
2022-11-23T01:32:29.8840874Z  - 
2022-11-23T01:32:29.8841003Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8841071Z             {
2022-11-23T01:32:29.8841210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8841382Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8841505Z                 'obj_weakref': None
2022-11-23T01:32:29.8841738Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8841805Z             }
2022-11-23T01:32:29.8841866Z             
2022-11-23T01:32:29.8841939Z  - 
2022-11-23T01:32:29.8842064Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8842136Z             {
2022-11-23T01:32:29.8842277Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8842496Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8842621Z                 'obj_weakref': None
2022-11-23T01:32:29.8842840Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8842909Z             }
2022-11-23T01:32:29.8842976Z             
2022-11-23T01:32:29.8843049Z  - 
2022-11-23T01:32:29.8843185Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8843252Z             {
2022-11-23T01:32:29.8843369Z                 'guard_types': None,
2022-11-23T01:32:29.8843481Z                 'code': None,
2022-11-23T01:32:29.8843602Z                 'obj_weakref': None
2022-11-23T01:32:29.8843727Z                 'guarded_class': None
2022-11-23T01:32:29.8843794Z             }
2022-11-23T01:32:29.8843861Z             
2022-11-23T01:32:29.8844150Z [2022-11-23 01:23:58,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97
2022-11-23T01:32:29.8844513Z [2022-11-23 01:23:59,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l5/cl5g7toxwf2envm2pwvo75apo62obuy2pgl7whxnsca24vd2m37b.py
2022-11-23T01:32:29.8844792Z [2022-11-23 01:23:59,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97
2022-11-23T01:32:29.8844798Z 
2022-11-23T01:32:29.8844898Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8844972Z import torch
2022-11-23T01:32:29.8845044Z import random
2022-11-23T01:32:29.8845165Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8845290Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8845295Z 
2022-11-23T01:32:29.8845377Z aten = torch.ops.aten
2022-11-23T01:32:29.8845510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8845607Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8845614Z 
2022-11-23T01:32:29.8845687Z import triton
2022-11-23T01:32:29.8845779Z import triton.language as tl
2022-11-23T01:32:29.8845906Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8846051Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8846057Z 
2022-11-23T01:32:29.8846062Z 
2022-11-23T01:32:29.8846198Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8846404Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8846529Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8846629Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8846733Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.8846798Z {
2022-11-23T01:32:29.8846900Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8846966Z     {
2022-11-23T01:32:29.8847046Z         #pragma omp for 
2022-11-23T01:32:29.8847130Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:29.8847199Z         {
2022-11-23T01:32:29.8847265Z             {
2022-11-23T01:32:29.8847334Z                 {
2022-11-23T01:32:29.8847434Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8847549Z                     auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:29.8847645Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:29.8847761Z                     auto tmp3 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:29.8847857Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8847961Z                     auto tmp5 = std::erf(tmp4);
2022-11-23T01:32:29.8848070Z                     auto tmp6 = static_cast<float>(1);
2022-11-23T01:32:29.8848167Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:29.8848261Z                     auto tmp8 = tmp2 * tmp7;
2022-11-23T01:32:29.8848368Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:29.8848472Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:29.8848562Z                     auto tmp11 = tmp0 + tmp6;
2022-11-23T01:32:29.8848659Z                     auto tmp12 = tmp11 * tmp1;
2022-11-23T01:32:29.8848757Z                     auto tmp13 = tmp11 * tmp3;
2022-11-23T01:32:29.8848865Z                     auto tmp14 = std::erf(tmp13);
2022-11-23T01:32:29.8848962Z                     auto tmp15 = tmp14 + tmp6;
2022-11-23T01:32:29.8849059Z                     auto tmp16 = tmp12 * tmp15;
2022-11-23T01:32:29.8849150Z                     out_ptr0[i0] = tmp10;
2022-11-23T01:32:29.8849232Z                     out_ptr1[i0] = tmp16;
2022-11-23T01:32:29.8849300Z                 }
2022-11-23T01:32:29.8849368Z             }
2022-11-23T01:32:29.8849434Z         }
2022-11-23T01:32:29.8849500Z     }
2022-11-23T01:32:29.8849567Z }
2022-11-23T01:32:29.8849646Z ''')
2022-11-23T01:32:29.8849658Z 
2022-11-23T01:32:29.8849663Z 
2022-11-23T01:32:29.8849751Z async_compile.wait(globals())
2022-11-23T01:32:29.8849826Z del async_compile
2022-11-23T01:32:29.8849865Z 
2022-11-23T01:32:29.8849943Z def call(args):
2022-11-23T01:32:29.8850019Z     arg0_1, = args
2022-11-23T01:32:29.8850093Z     args.clear()
2022-11-23T01:32:29.8850300Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8850530Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8850693Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.8850766Z     del arg0_1
2022-11-23T01:32:29.8850846Z     return (buf0, buf1, )
2022-11-23T01:32:29.8850852Z 
2022-11-23T01:32:29.8850856Z 
2022-11-23T01:32:29.8850936Z if __name__ == "__main__":
2022-11-23T01:32:29.8851052Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8851181Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8851384Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8851498Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8851502Z 
2022-11-23T01:32:29.8851567Z ok (1.832s)
2022-11-23T01:32:29.8851870Z   test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8852193Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8852415Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8852670Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8852952Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8853277Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8853620Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8853941Z [2022-11-23 01:23:59,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8854313Z [2022-11-23 01:23:59,836] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544> 
2022-11-23T01:32:29.8854408Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8854507Z                2 LOAD_METHOD              1 (glu)
2022-11-23T01:32:29.8854606Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8854749Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:29.8854844Z                8 CALL_METHOD              2
2022-11-23T01:32:29.8854946Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8855042Z               12 LOAD_METHOD              1 (glu)
2022-11-23T01:32:29.8855138Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8855230Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8855323Z               18 CALL_METHOD              2
2022-11-23T01:32:29.8855421Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8855516Z               22 LOAD_METHOD              1 (glu)
2022-11-23T01:32:29.8855609Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8855704Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8855799Z               28 CALL_METHOD              2
2022-11-23T01:32:29.8855885Z               30 BUILD_TUPLE              3
2022-11-23T01:32:29.8855966Z               32 RETURN_VALUE
2022-11-23T01:32:29.8856033Z  
2022-11-23T01:32:29.8856038Z 
2022-11-23T01:32:29.8856385Z [2022-11-23 01:23:59,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545
2022-11-23T01:32:29.8856609Z [2022-11-23 01:23:59,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8856939Z [2022-11-23 01:23:59,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8857193Z [2022-11-23 01:23:59,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T01:32:29.8857477Z [2022-11-23 01:23:59,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:29.8857796Z [2022-11-23 01:23:59,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8858038Z [2022-11-23 01:23:59,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8858372Z [2022-11-23 01:23:59,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8858651Z [2022-11-23 01:23:59,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:29.8859073Z [2022-11-23 01:23:59,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:29.8859422Z [2022-11-23 01:23:59,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8859699Z [2022-11-23 01:23:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8860059Z [2022-11-23 01:23:59,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8860361Z [2022-11-23 01:23:59,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:29.8860694Z [2022-11-23 01:23:59,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:29.8861065Z [2022-11-23 01:23:59,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8861360Z [2022-11-23 01:23:59,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8861604Z [2022-11-23 01:23:59,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8861980Z [2022-11-23 01:23:59,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544>
2022-11-23T01:32:29.8862232Z [2022-11-23 01:23:59,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8862470Z [2022-11-23 01:23:59,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8862726Z [2022-11-23 01:23:59,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8862977Z [2022-11-23 01:23:59,863] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8863169Z [2022-11-23 01:23:59,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8863309Z  __compiled_fn_99 <eval_with_key>.628 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8863404Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8863603Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T01:32:29.8863714Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T01:32:29.8863821Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T01:32:29.8863966Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T01:32:29.8863972Z 
2022-11-23T01:32:29.8864301Z [2022-11-23 01:23:59,864] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8864399Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8864495Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8864586Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8864678Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8864768Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8864862Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8864943Z              12 RETURN_VALUE
2022-11-23T01:32:29.8864951Z 
2022-11-23T01:32:29.8865014Z  
2022-11-23T01:32:29.8865339Z [2022-11-23 01:23:59,864] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8865459Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_99)
2022-11-23T01:32:29.8865554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8865643Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8865724Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8865816Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8865926Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8866036Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8866131Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8866212Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8866312Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8866407Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8866488Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8866594Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8866690Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8866770Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8866861Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.8866935Z              32 RETURN_VALUE
2022-11-23T01:32:29.8866940Z 
2022-11-23T01:32:29.8867004Z  
2022-11-23T01:32:29.8867192Z [2022-11-23 01:23:59,864] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8867267Z  - 
2022-11-23T01:32:29.8867391Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8867459Z             {
2022-11-23T01:32:29.8867605Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8867789Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8867914Z                 'obj_weakref': None
2022-11-23T01:32:29.8868140Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8868208Z             }
2022-11-23T01:32:29.8868275Z             
2022-11-23T01:32:29.8868351Z  - 
2022-11-23T01:32:29.8868477Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8868538Z             {
2022-11-23T01:32:29.8868684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8868795Z                 'code': None,
2022-11-23T01:32:29.8869004Z                 'obj_weakref': <weakref at 0x7f202325b0b0; to 'Tensor' at 0x7f2060126b60>
2022-11-23T01:32:29.8869250Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8869317Z             }
2022-11-23T01:32:29.8869384Z             
2022-11-23T01:32:29.8869451Z  - 
2022-11-23T01:32:29.8869585Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8869655Z             {
2022-11-23T01:32:29.8869825Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8870001Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8870124Z                 'obj_weakref': None
2022-11-23T01:32:29.8870457Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8870519Z             }
2022-11-23T01:32:29.8870588Z             
2022-11-23T01:32:29.8870664Z  - 
2022-11-23T01:32:29.8870788Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8870856Z             {
2022-11-23T01:32:29.8870996Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8871218Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8871333Z                 'obj_weakref': None
2022-11-23T01:32:29.8871556Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8871623Z             }
2022-11-23T01:32:29.8871692Z             
2022-11-23T01:32:29.8871769Z  - 
2022-11-23T01:32:29.8871904Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8871971Z             {
2022-11-23T01:32:29.8872087Z                 'guard_types': None,
2022-11-23T01:32:29.8872202Z                 'code': None,
2022-11-23T01:32:29.8872323Z                 'obj_weakref': None
2022-11-23T01:32:29.8872448Z                 'guarded_class': None
2022-11-23T01:32:29.8872515Z             }
2022-11-23T01:32:29.8872581Z             
2022-11-23T01:32:29.8872841Z [2022-11-23 01:23:59,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98
2022-11-23T01:32:29.8873186Z [2022-11-23 01:24:01,739] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j4/cj4quiyav5n37dxww33gbfxb32xyr2srvna37p3jjatml6n2dsdt.py
2022-11-23T01:32:29.8873446Z [2022-11-23 01:24:01,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98
2022-11-23T01:32:29.8873452Z 
2022-11-23T01:32:29.8873555Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8873628Z import torch
2022-11-23T01:32:29.8873700Z import random
2022-11-23T01:32:29.8873820Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8873948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8873953Z 
2022-11-23T01:32:29.8874035Z aten = torch.ops.aten
2022-11-23T01:32:29.8874169Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8874267Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8874272Z 
2022-11-23T01:32:29.8874344Z import triton
2022-11-23T01:32:29.8874436Z import triton.language as tl
2022-11-23T01:32:29.8874561Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8874703Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8874708Z 
2022-11-23T01:32:29.8874713Z 
2022-11-23T01:32:29.8874849Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8875059Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8875178Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8875283Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8875391Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.8875493Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.8875557Z {
2022-11-23T01:32:29.8875662Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8875729Z     {
2022-11-23T01:32:29.8875804Z         #pragma omp for 
2022-11-23T01:32:29.8875892Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.8875959Z         {
2022-11-23T01:32:29.8876044Z             #pragma GCC ivdep
2022-11-23T01:32:29.8876131Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.8876202Z             {
2022-11-23T01:32:29.8882973Z                 {
2022-11-23T01:32:29.8883053Z                     {
2022-11-23T01:32:29.8883229Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:29.8883346Z                         auto tmp1 = in_ptr0[4 + i1 + (8*i0)];
2022-11-23T01:32:29.8883529Z                         auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:29.8883656Z                         auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:29.8883755Z                         auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8883857Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:29.8883923Z                     }
2022-11-23T01:32:29.8883994Z                 }
2022-11-23T01:32:29.8884067Z             }
2022-11-23T01:32:29.8884137Z         }
2022-11-23T01:32:29.8884222Z         #pragma omp for 
2022-11-23T01:32:29.8884310Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.8884383Z         {
2022-11-23T01:32:29.8884468Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.8884538Z             {
2022-11-23T01:32:29.8884695Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:32:29.8884854Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0));
2022-11-23T01:32:29.8885000Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:32:29.8885099Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:29.8885213Z                 tmp3.store(out_ptr1 + (8*i1) + (512*i0));
2022-11-23T01:32:29.8885276Z             }
2022-11-23T01:32:29.8885375Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.8885474Z             for(long i1=512; i1<512; i1+=1)
2022-11-23T01:32:29.8885549Z             {
2022-11-23T01:32:29.8885658Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:29.8885769Z                 auto tmp1 = in_ptr0[512 + i1 + (1024*i0)];
2022-11-23T01:32:29.8885918Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:29.8886007Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:29.8886102Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8886205Z                 out_ptr1[i1 + (512*i0)] = tmp4;
2022-11-23T01:32:29.8886276Z             }
2022-11-23T01:32:29.8886345Z         }
2022-11-23T01:32:29.8886429Z         #pragma omp for 
2022-11-23T01:32:29.8886523Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:29.8886586Z         {
2022-11-23T01:32:29.8886678Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.8886747Z             {
2022-11-23T01:32:29.8886898Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (64*i0));
2022-11-23T01:32:29.8887051Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i1) + (64*i0));
2022-11-23T01:32:29.8887196Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:32:29.8887291Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:29.8887404Z                 tmp3.store(out_ptr2 + (8*i1) + (32*i0));
2022-11-23T01:32:29.8887466Z             }
2022-11-23T01:32:29.8887575Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.8887669Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:29.8887738Z             {
2022-11-23T01:32:29.8887843Z                 auto tmp0 = in_ptr0[i1 + (64*i0)];
2022-11-23T01:32:29.8887954Z                 auto tmp1 = in_ptr0[32 + i1 + (64*i0)];
2022-11-23T01:32:29.8888102Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:29.8888191Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:29.8888283Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:29.8888383Z                 out_ptr2[i1 + (32*i0)] = tmp4;
2022-11-23T01:32:29.8888453Z             }
2022-11-23T01:32:29.8888521Z         }
2022-11-23T01:32:29.8888589Z     }
2022-11-23T01:32:29.8888655Z }
2022-11-23T01:32:29.8888734Z ''')
2022-11-23T01:32:29.8888740Z 
2022-11-23T01:32:29.8888745Z 
2022-11-23T01:32:29.8888842Z async_compile.wait(globals())
2022-11-23T01:32:29.8888922Z del async_compile
2022-11-23T01:32:29.8888927Z 
2022-11-23T01:32:29.8889002Z def call(args):
2022-11-23T01:32:29.8889113Z     arg0_1, = args
2022-11-23T01:32:29.8889193Z     args.clear()
2022-11-23T01:32:29.8889419Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8889650Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8889865Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8890062Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.8890138Z     del arg0_1
2022-11-23T01:32:29.8890227Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.8890232Z 
2022-11-23T01:32:29.8890237Z 
2022-11-23T01:32:29.8890320Z if __name__ == "__main__":
2022-11-23T01:32:29.8890442Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8890572Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8890787Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8890902Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8890907Z 
2022-11-23T01:32:29.8890985Z ok (1.934s)
2022-11-23T01:32:29.8891300Z   test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:24:01,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8891616Z [2022-11-23 01:24:01,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8891834Z [2022-11-23 01:24:01,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8892088Z [2022-11-23 01:24:01,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8892365Z [2022-11-23 01:24:01,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8892684Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8893022Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8893336Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8893704Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053> 
2022-11-23T01:32:29.8893808Z  3055           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8893923Z                2 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:29.8894023Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8894122Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8894221Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8894318Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8894413Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:29.8894510Z               14 CALL_METHOD              5
2022-11-23T01:32:29.8894515Z 
2022-11-23T01:32:29.8894617Z 3056          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.8894734Z               18 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:29.8894830Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.8894925Z               22 LOAD_FAST                1 (b)
2022-11-23T01:32:29.8895019Z               24 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8895114Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:29.8895207Z               28 LOAD_CONST               4 (False)
2022-11-23T01:32:29.8895331Z               30 CALL_METHOD              5
2022-11-23T01:32:29.8895337Z 
2022-11-23T01:32:29.8895434Z 3054          32 BUILD_TUPLE              2
2022-11-23T01:32:29.8895517Z               34 RETURN_VALUE
2022-11-23T01:32:29.8895611Z  
2022-11-23T01:32:29.8895616Z 
2022-11-23T01:32:29.8895936Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3055
2022-11-23T01:32:29.8896154Z [2022-11-23 01:24:01,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.8896470Z [2022-11-23 01:24:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8896729Z [2022-11-23 01:24:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:29.8897023Z [2022-11-23 01:24:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:29.8897341Z [2022-11-23 01:24:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8897701Z [2022-11-23 01:24:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8898094Z [2022-11-23 01:24:01,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8898529Z [2022-11-23 01:24:01,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:29.8898982Z [2022-11-23 01:24:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3056
2022-11-23T01:32:29.8899229Z [2022-11-23 01:24:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.8899574Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.8899868Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:29.8900180Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:29.8900523Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8900898Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8901312Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.8901765Z [2022-11-23 01:24:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:29.8902071Z [2022-11-23 01:24:01,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3054
2022-11-23T01:32:29.8902388Z [2022-11-23 01:24:01,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8902636Z [2022-11-23 01:24:01,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8903007Z [2022-11-23 01:24:01,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053>
2022-11-23T01:32:29.8903276Z [2022-11-23 01:24:01,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8903510Z [2022-11-23 01:24:01,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8903765Z [2022-11-23 01:24:01,909] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8904013Z [2022-11-23 01:24:01,988] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8904209Z [2022-11-23 01:24:01,989] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8904342Z  __compiled_fn_100 <eval_with_key>.634 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8904438Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8904535Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.8904688Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {}
2022-11-23T01:32:29.8904839Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {}
2022-11-23T01:32:29.8904978Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {}
2022-11-23T01:32:29.8904984Z 
2022-11-23T01:32:29.8905306Z [2022-11-23 01:24:01,989] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8905409Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8905500Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8905594Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8905697Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8905790Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8905884Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8905971Z              12 RETURN_VALUE
2022-11-23T01:32:29.8905976Z 
2022-11-23T01:32:29.8906042Z  
2022-11-23T01:32:29.8906354Z [2022-11-23 01:24:01,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8906474Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_100)
2022-11-23T01:32:29.8906572Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8906669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8906752Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8906850Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8906945Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8907030Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.8907118Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.8907233Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8907345Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8907442Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8907527Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8907632Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8907726Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8907800Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8907895Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.8907977Z              32 RETURN_VALUE
2022-11-23T01:32:29.8907982Z 
2022-11-23T01:32:29.8908047Z  
2022-11-23T01:32:29.8908233Z [2022-11-23 01:24:01,990] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8908310Z  - 
2022-11-23T01:32:29.8908435Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8908526Z             {
2022-11-23T01:32:29.8908674Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8908862Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.8909008Z                 'obj_weakref': None
2022-11-23T01:32:29.8909236Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8909305Z             }
2022-11-23T01:32:29.8909373Z             
2022-11-23T01:32:29.8909442Z  - 
2022-11-23T01:32:29.8909568Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8909636Z             {
2022-11-23T01:32:29.8909783Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8909896Z                 'code': None,
2022-11-23T01:32:29.8910108Z                 'obj_weakref': <weakref at 0x7f202325b3d0; to 'Tensor' at 0x7f2023208b80>
2022-11-23T01:32:29.8910439Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8910515Z             }
2022-11-23T01:32:29.8910598Z             
2022-11-23T01:32:29.8910689Z  - 
2022-11-23T01:32:29.8910837Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.8910927Z             {
2022-11-23T01:32:29.8911156Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8911280Z                 'code': None,
2022-11-23T01:32:29.8911478Z                 'obj_weakref': <weakref at 0x7f2023234ea0; to 'Tensor' at 0x7f202338a8e0>
2022-11-23T01:32:29.8911719Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8911789Z             }
2022-11-23T01:32:29.8911857Z             
2022-11-23T01:32:29.8911934Z  - 
2022-11-23T01:32:29.8912069Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8912138Z             {
2022-11-23T01:32:29.8912269Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8912447Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8912570Z                 'obj_weakref': None
2022-11-23T01:32:29.8912796Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8912870Z             }
2022-11-23T01:32:29.8912939Z             
2022-11-23T01:32:29.8913014Z  - 
2022-11-23T01:32:29.8913131Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8913200Z             {
2022-11-23T01:32:29.8913340Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8913554Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8913676Z                 'obj_weakref': None
2022-11-23T01:32:29.8913902Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8913970Z             }
2022-11-23T01:32:29.8914031Z             
2022-11-23T01:32:29.8914110Z  - 
2022-11-23T01:32:29.8914247Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.8914317Z             {
2022-11-23T01:32:29.8914441Z                 'guard_types': None,
2022-11-23T01:32:29.8914552Z                 'code': None,
2022-11-23T01:32:29.8914677Z                 'obj_weakref': None
2022-11-23T01:32:29.8914794Z                 'guarded_class': None
2022-11-23T01:32:29.8914863Z             }
2022-11-23T01:32:29.8914931Z             
2022-11-23T01:32:29.8915192Z [2022-11-23 01:24:02,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99
2022-11-23T01:32:29.8915402Z [2022-11-23 01:24:02,875] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8')
2022-11-23T01:32:29.8915606Z [2022-11-23 01:24:02,876] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:29.8915805Z [2022-11-23 01:24:02,876] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:29.8916005Z [2022-11-23 01:24:02,876] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:29.8916250Z [2022-11-23 01:24:02,876] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:29.8916256Z 
2022-11-23T01:32:29.8916359Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8916436Z import torch
2022-11-23T01:32:29.8916533Z import random
2022-11-23T01:32:29.8916655Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8916780Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8916785Z 
2022-11-23T01:32:29.8916874Z aten = torch.ops.aten
2022-11-23T01:32:29.8917007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8917105Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8917110Z 
2022-11-23T01:32:29.8917185Z import triton
2022-11-23T01:32:29.8917280Z import triton.language as tl
2022-11-23T01:32:29.8917408Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8917551Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8917557Z 
2022-11-23T01:32:29.8917561Z 
2022-11-23T01:32:29.8917703Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8917915Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8918035Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.8918145Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:29.8918252Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:29.8918364Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8918475Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:29.8918542Z {
2022-11-23T01:32:29.8918645Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8918705Z     {
2022-11-23T01:32:29.8918802Z         #pragma omp for  collapse(3)
2022-11-23T01:32:29.8918892Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.8918966Z         {
2022-11-23T01:32:29.8919056Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:29.8919128Z             {
2022-11-23T01:32:29.8919227Z                 for(long i2=0; i2<123904; i2+=1)
2022-11-23T01:32:29.8919291Z                 {
2022-11-23T01:32:29.8919363Z                     {
2022-11-23T01:32:29.8919440Z                         {
2022-11-23T01:32:29.8919561Z                             auto tmp2 = in_ptr0[(2*i2) + (247808*i0)];
2022-11-23T01:32:29.8919681Z                             auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)];
2022-11-23T01:32:29.8919802Z                             auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:29.8919918Z                             auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:29.8920029Z                             auto tmp3 = static_cast<float>(175.5);
2022-11-23T01:32:29.8920132Z                             auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:29.8920238Z                             auto tmp5 = tmp4 + tmp3;
2022-11-23T01:32:29.8920354Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:32:29.8920471Z                             auto tmp7 = static_cast<float>(0);
2022-11-23T01:32:29.8920576Z                             auto tmp8 = tmp6 >= tmp7;
2022-11-23T01:32:29.8920698Z                             auto tmp9 = static_cast<float>(352);
2022-11-23T01:32:29.8920808Z                             auto tmp10 = tmp6 < tmp9;
2022-11-23T01:32:29.8920905Z                             auto tmp12 = tmp11 * tmp3;
2022-11-23T01:32:29.8921010Z                             auto tmp13 = tmp12 + tmp3;
2022-11-23T01:32:29.8921124Z                             auto tmp14 = std::floor(tmp13);
2022-11-23T01:32:29.8921233Z                             auto tmp15 = tmp14 >= tmp7;
2022-11-23T01:32:29.8921339Z                             auto tmp16 = tmp14 < tmp9;
2022-11-23T01:32:29.8921447Z                             auto tmp17 = tmp15 && tmp16;
2022-11-23T01:32:29.8921553Z                             auto tmp18 = tmp10 && tmp17;
2022-11-23T01:32:29.8921650Z                             auto tmp19 = tmp8 && tmp18;
2022-11-23T01:32:29.8921800Z                             auto tmp20 = static_cast<long>(tmp14);
2022-11-23T01:32:29.8921916Z                             auto tmp21 = static_cast<long>(0);
2022-11-23T01:32:29.8922028Z                             auto tmp22 = tmp19 ? tmp20 : tmp21;
2022-11-23T01:32:29.8922170Z                             auto tmp23 = static_cast<long>(tmp6);
2022-11-23T01:32:29.8922282Z                             auto tmp24 = tmp19 ? tmp23 : tmp21;
2022-11-23T01:32:29.8922425Z                             auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8922538Z                             auto tmp26 = static_cast<float>(1);
2022-11-23T01:32:29.8922635Z                             auto tmp27 = tmp6 + tmp26;
2022-11-23T01:32:29.8922788Z                             auto tmp28 = tmp27 - tmp5;
2022-11-23T01:32:29.8922890Z                             auto tmp29 = tmp14 + tmp26;
2022-11-23T01:32:29.8923042Z                             auto tmp30 = tmp29 - tmp13;
2022-11-23T01:32:29.8923147Z                             auto tmp31 = tmp28 * tmp30;
2022-11-23T01:32:29.8923257Z                             auto tmp32 = tmp19 ? tmp31 : tmp7;
2022-11-23T01:32:29.8923360Z                             auto tmp33 = tmp25 * tmp32;
2022-11-23T01:32:29.8923465Z                             auto tmp34 = tmp27 >= tmp7;
2022-11-23T01:32:29.8923560Z                             auto tmp35 = tmp27 < tmp9;
2022-11-23T01:32:29.8923666Z                             auto tmp36 = tmp35 && tmp17;
2022-11-23T01:32:29.8923775Z                             auto tmp37 = tmp34 && tmp36;
2022-11-23T01:32:29.8923885Z                             auto tmp38 = tmp37 ? tmp20 : tmp21;
2022-11-23T01:32:29.8924006Z                             auto tmp39 = static_cast<long>(tmp27);
2022-11-23T01:32:29.8924117Z                             auto tmp40 = tmp37 ? tmp39 : tmp21;
2022-11-23T01:32:29.8924257Z                             auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8924403Z                             auto tmp42 = tmp5 - tmp6;
2022-11-23T01:32:29.8924506Z                             auto tmp43 = tmp42 * tmp30;
2022-11-23T01:32:29.8924619Z                             auto tmp44 = tmp37 ? tmp43 : tmp7;
2022-11-23T01:32:29.8924723Z                             auto tmp45 = tmp41 * tmp44;
2022-11-23T01:32:29.8924825Z                             auto tmp46 = tmp29 >= tmp7;
2022-11-23T01:32:29.8924929Z                             auto tmp47 = tmp29 < tmp9;
2022-11-23T01:32:29.8925036Z                             auto tmp48 = tmp46 && tmp47;
2022-11-23T01:32:29.8925140Z                             auto tmp49 = tmp10 && tmp48;
2022-11-23T01:32:29.8925233Z                             auto tmp50 = tmp8 && tmp49;
2022-11-23T01:32:29.8925351Z                             auto tmp51 = static_cast<long>(tmp29);
2022-11-23T01:32:29.8925463Z                             auto tmp52 = tmp50 ? tmp51 : tmp21;
2022-11-23T01:32:29.8925574Z                             auto tmp53 = tmp50 ? tmp23 : tmp21;
2022-11-23T01:32:29.8925717Z                             auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8925869Z                             auto tmp55 = tmp13 - tmp14;
2022-11-23T01:32:29.8925975Z                             auto tmp56 = tmp28 * tmp55;
2022-11-23T01:32:29.8926077Z                             auto tmp57 = tmp50 ? tmp56 : tmp7;
2022-11-23T01:32:29.8926180Z                             auto tmp58 = tmp54 * tmp57;
2022-11-23T01:32:29.8926284Z                             auto tmp59 = tmp35 && tmp48;
2022-11-23T01:32:29.8926389Z                             auto tmp60 = tmp34 && tmp59;
2022-11-23T01:32:29.8926501Z                             auto tmp61 = tmp60 ? tmp51 : tmp21;
2022-11-23T01:32:29.8926611Z                             auto tmp62 = tmp60 ? tmp39 : tmp21;
2022-11-23T01:32:29.8926753Z                             auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8926927Z                             auto tmp64 = tmp33 + tmp45;
2022-11-23T01:32:29.8927023Z                             auto tmp65 = tmp64 + tmp58;
2022-11-23T01:32:29.8927128Z                             auto tmp66 = tmp42 * tmp55;
2022-11-23T01:32:29.8927263Z                             auto tmp67 = tmp60 ? tmp66 : tmp7;
2022-11-23T01:32:29.8927364Z                             auto tmp68 = tmp63 * tmp67;
2022-11-23T01:32:29.8927466Z                             auto tmp69 = tmp65 + tmp68;
2022-11-23T01:32:29.8927587Z                             auto tmp70 = static_cast<float>(176.0);
2022-11-23T01:32:29.8927690Z                             auto tmp71 = tmp2 * tmp70;
2022-11-23T01:32:29.8927793Z                             auto tmp72 = tmp71 + tmp3;
2022-11-23T01:32:29.8927904Z                             auto tmp73 = static_cast<float>(0.0);
2022-11-23T01:32:29.8928022Z                             auto tmp74 = std::max(tmp72, tmp73);
2022-11-23T01:32:29.8928144Z                             auto tmp75 = static_cast<float>(351.0);
2022-11-23T01:32:29.8928265Z                             auto tmp76 = std::min(tmp74, tmp75);
2022-11-23T01:32:29.8928380Z                             auto tmp77 = std::floor(tmp76);
2022-11-23T01:32:29.8928482Z                             auto tmp78 = tmp77 >= tmp7;
2022-11-23T01:32:29.8928588Z                             auto tmp79 = tmp77 < tmp9;
2022-11-23T01:32:29.8928683Z                             auto tmp80 = tmp11 * tmp70;
2022-11-23T01:32:29.8928787Z                             auto tmp81 = tmp80 + tmp3;
2022-11-23T01:32:29.8928901Z                             auto tmp82 = std::max(tmp81, tmp73);
2022-11-23T01:32:29.8929019Z                             auto tmp83 = std::min(tmp82, tmp75);
2022-11-23T01:32:29.8929132Z                             auto tmp84 = std::floor(tmp83);
2022-11-23T01:32:29.8929237Z                             auto tmp85 = tmp84 >= tmp7;
2022-11-23T01:32:29.8929340Z                             auto tmp86 = tmp84 < tmp9;
2022-11-23T01:32:29.8929449Z                             auto tmp87 = tmp85 && tmp86;
2022-11-23T01:32:29.8929546Z                             auto tmp88 = tmp79 && tmp87;
2022-11-23T01:32:29.8929650Z                             auto tmp89 = tmp78 && tmp88;
2022-11-23T01:32:29.8929770Z                             auto tmp90 = static_cast<long>(tmp84);
2022-11-23T01:32:29.8929880Z                             auto tmp91 = tmp89 ? tmp90 : tmp21;
2022-11-23T01:32:29.8929998Z                             auto tmp92 = static_cast<long>(tmp77);
2022-11-23T01:32:29.8930107Z                             auto tmp93 = tmp89 ? tmp92 : tmp21;
2022-11-23T01:32:29.8930249Z                             auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8930351Z                             auto tmp95 = tmp77 + tmp26;
2022-11-23T01:32:29.8930446Z                             auto tmp96 = tmp95 >= tmp7;
2022-11-23T01:32:29.8930548Z                             auto tmp97 = tmp95 < tmp9;
2022-11-23T01:32:29.8930654Z                             auto tmp98 = tmp97 && tmp87;
2022-11-23T01:32:29.8930756Z                             auto tmp99 = tmp96 && tmp98;
2022-11-23T01:32:29.8930869Z                             auto tmp100 = tmp99 ? tmp90 : tmp21;
2022-11-23T01:32:29.8930996Z                             auto tmp101 = static_cast<long>(tmp95);
2022-11-23T01:32:29.8931110Z                             auto tmp102 = tmp99 ? tmp101 : tmp21;
2022-11-23T01:32:29.8931244Z                             auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8931399Z                             auto tmp104 = tmp95 - tmp76;
2022-11-23T01:32:29.8931507Z                             auto tmp105 = tmp84 + tmp26;
2022-11-23T01:32:29.8931661Z                             auto tmp106 = tmp105 - tmp83;
2022-11-23T01:32:29.8931770Z                             auto tmp107 = tmp104 * tmp106;
2022-11-23T01:32:29.8931885Z                             auto tmp108 = tmp89 ? tmp107 : tmp7;
2022-11-23T01:32:29.8932017Z                             auto tmp109 = tmp94 * tmp108;
2022-11-23T01:32:29.8932169Z                             auto tmp110 = tmp76 - tmp77;
2022-11-23T01:32:29.8932269Z                             auto tmp111 = tmp110 * tmp106;
2022-11-23T01:32:29.8932409Z                             auto tmp112 = tmp99 ? tmp111 : tmp7;
2022-11-23T01:32:29.8932516Z                             auto tmp113 = tmp103 * tmp112;
2022-11-23T01:32:29.8932622Z                             auto tmp114 = tmp109 + tmp113;
2022-11-23T01:32:29.8932727Z                             auto tmp115 = tmp105 >= tmp7;
2022-11-23T01:32:29.8932832Z                             auto tmp116 = tmp105 < tmp9;
2022-11-23T01:32:29.8932942Z                             auto tmp117 = tmp115 && tmp116;
2022-11-23T01:32:29.8933046Z                             auto tmp118 = tmp79 && tmp117;
2022-11-23T01:32:29.8933144Z                             auto tmp119 = tmp78 && tmp118;
2022-11-23T01:32:29.8933272Z                             auto tmp120 = static_cast<long>(tmp105);
2022-11-23T01:32:29.8933388Z                             auto tmp121 = tmp119 ? tmp120 : tmp21;
2022-11-23T01:32:29.8933502Z                             auto tmp122 = tmp119 ? tmp92 : tmp21;
2022-11-23T01:32:29.8933642Z                             auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8933756Z                             auto tmp124 = tmp97 && tmp117;
2022-11-23T01:32:29.8933862Z                             auto tmp125 = tmp96 && tmp124;
2022-11-23T01:32:29.8933968Z                             auto tmp126 = tmp125 ? tmp120 : tmp21;
2022-11-23T01:32:29.8934080Z                             auto tmp127 = tmp125 ? tmp101 : tmp21;
2022-11-23T01:32:29.8934216Z                             auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:29.8934371Z                             auto tmp129 = tmp83 - tmp84;
2022-11-23T01:32:29.8934475Z                             auto tmp130 = tmp104 * tmp129;
2022-11-23T01:32:29.8934592Z                             auto tmp131 = tmp119 ? tmp130 : tmp7;
2022-11-23T01:32:29.8934699Z                             auto tmp132 = tmp123 * tmp131;
2022-11-23T01:32:29.8934803Z                             auto tmp133 = tmp114 + tmp132;
2022-11-23T01:32:29.8934902Z                             auto tmp134 = tmp110 * tmp129;
2022-11-23T01:32:29.8935013Z                             auto tmp135 = tmp125 ? tmp134 : tmp7;
2022-11-23T01:32:29.8935120Z                             auto tmp136 = tmp128 * tmp135;
2022-11-23T01:32:29.8935225Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:32:29.8935344Z                             in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69;
2022-11-23T01:32:29.8935465Z                             in_out_ptr2[i2 + (123904*i1) + (371712*i0)] = tmp137;
2022-11-23T01:32:29.8935540Z                         }
2022-11-23T01:32:29.8935612Z                     }
2022-11-23T01:32:29.8935677Z                 }
2022-11-23T01:32:29.8935746Z             }
2022-11-23T01:32:29.8935816Z         }
2022-11-23T01:32:29.8935884Z     }
2022-11-23T01:32:29.8935950Z }
2022-11-23T01:32:29.8936036Z ''')
2022-11-23T01:32:29.8936042Z 
2022-11-23T01:32:29.8936047Z 
2022-11-23T01:32:29.8936136Z async_compile.wait(globals())
2022-11-23T01:32:29.8936218Z del async_compile
2022-11-23T01:32:29.8936223Z 
2022-11-23T01:32:29.8936299Z def call(args):
2022-11-23T01:32:29.8936379Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.8936455Z     args.clear()
2022-11-23T01:32:29.8936690Z     buf3 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8936782Z     buf10 = buf3; del buf3  # reuse
2022-11-23T01:32:29.8937006Z     buf4 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8937091Z     buf6 = buf4; del buf4  # reuse
2022-11-23T01:32:29.8937322Z     buf7 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8937439Z     buf9 = buf7; del buf7  # reuse
2022-11-23T01:32:29.8937661Z     kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:29.8937759Z     del arg0_1
2022-11-23T01:32:29.8937833Z     del arg1_1
2022-11-23T01:32:29.8937916Z     return (buf10, buf9, )
2022-11-23T01:32:29.8937921Z 
2022-11-23T01:32:29.8937925Z 
2022-11-23T01:32:29.8938007Z if __name__ == "__main__":
2022-11-23T01:32:29.8938122Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8938252Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8938485Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8938712Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8938962Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.8939333Z [2022-11-23 01:24:04,498] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7fp2o6a3sieqbintwlbahrn3i5rsc2ppcrsjpyu5gzlqxyfisz.py
2022-11-23T01:32:29.8939596Z [2022-11-23 01:24:04,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99
2022-11-23T01:32:29.8939606Z 
2022-11-23T01:32:29.8939681Z ok (2.772s)
2022-11-23T01:32:29.8939981Z   test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8940295Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8940516Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8940767Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8941044Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8941370Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8941715Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8942043Z [2022-11-23 01:24:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8942417Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620> 
2022-11-23T01:32:29.8942520Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8942636Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:29.8942728Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8942824Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8942926Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8943038Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:29.8943135Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8943231Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:29.8943311Z               16 BINARY_ADD
2022-11-23T01:32:29.8943399Z               18 CALL_METHOD              1
2022-11-23T01:32:29.8943501Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8943611Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:29.8943707Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8943803Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:29.8943891Z               28 BINARY_SUBTRACT
2022-11-23T01:32:29.8944031Z               30 CALL_METHOD              1
2022-11-23T01:32:29.8944122Z               32 BUILD_TUPLE              3
2022-11-23T01:32:29.8944204Z               34 RETURN_VALUE
2022-11-23T01:32:29.8944298Z  
2022-11-23T01:32:29.8944303Z 
2022-11-23T01:32:29.8944620Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621
2022-11-23T01:32:29.8944838Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:29.8945249Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8945548Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:29.8945878Z [2022-11-23 01:24:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:29.8946122Z [2022-11-23 01:24:04,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:29.8946555Z [2022-11-23 01:24:04,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8946874Z [2022-11-23 01:24:04,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:29.8947219Z [2022-11-23 01:24:04,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:29.8947611Z [2022-11-23 01:24:04,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8947958Z [2022-11-23 01:24:04,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:29.8948229Z [2022-11-23 01:24:04,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8948695Z [2022-11-23 01:24:04,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8949036Z [2022-11-23 01:24:04,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:29.8949409Z [2022-11-23 01:24:04,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:29.8949832Z [2022-11-23 01:24:04,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8950207Z [2022-11-23 01:24:04,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:29.8950609Z [2022-11-23 01:24:04,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8950864Z [2022-11-23 01:24:04,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8951273Z [2022-11-23 01:24:04,553] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620>
2022-11-23T01:32:29.8951542Z [2022-11-23 01:24:04,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8951782Z [2022-11-23 01:24:04,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8952038Z [2022-11-23 01:24:04,554] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8952293Z [2022-11-23 01:24:04,563] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8952488Z [2022-11-23 01:24:04,564] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8952626Z  __compiled_fn_101 <eval_with_key>.640 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8952722Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8952881Z call_function, hardsigmoid, <function hardsigmoid at 0x7f2073d575b0>, (ex_0_,), {}
2022-11-23T01:32:29.8953051Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:29.8953204Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7f2073d575b0>, (add,), {}
2022-11-23T01:32:29.8953386Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:29.8953534Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7f2073d575b0>, (sub,), {}
2022-11-23T01:32:29.8953686Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T01:32:29.8953692Z 
2022-11-23T01:32:29.8954026Z [2022-11-23 01:24:04,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8954128Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8954228Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8954325Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8954418Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8954511Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8954607Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8954692Z              12 RETURN_VALUE
2022-11-23T01:32:29.8954697Z 
2022-11-23T01:32:29.8954762Z  
2022-11-23T01:32:29.8955090Z [2022-11-23 01:24:04,564] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8955206Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_101)
2022-11-23T01:32:29.8955297Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8955396Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8955478Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8955571Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8955683Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8955796Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8955892Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8955977Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8956083Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8956178Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8956261Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8956369Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8956464Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8956545Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8956639Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.8956713Z              32 RETURN_VALUE
2022-11-23T01:32:29.8956719Z 
2022-11-23T01:32:29.8956784Z  
2022-11-23T01:32:29.8956973Z [2022-11-23 01:24:04,565] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8957049Z  - 
2022-11-23T01:32:29.8957214Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8957285Z             {
2022-11-23T01:32:29.8957428Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8957611Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8957761Z                 'obj_weakref': None
2022-11-23T01:32:29.8957987Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8958057Z             }
2022-11-23T01:32:29.8958125Z             
2022-11-23T01:32:29.8958201Z  - 
2022-11-23T01:32:29.8958330Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8958392Z             {
2022-11-23T01:32:29.8958543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8958657Z                 'code': None,
2022-11-23T01:32:29.8958866Z                 'obj_weakref': <weakref at 0x7f2023259300; to 'Tensor' at 0x7f202322a610>
2022-11-23T01:32:29.8959119Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8959188Z             }
2022-11-23T01:32:29.8959258Z             
2022-11-23T01:32:29.8959326Z  - 
2022-11-23T01:32:29.8959460Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8959532Z             {
2022-11-23T01:32:29.8959673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8959847Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8959970Z                 'obj_weakref': None
2022-11-23T01:32:29.8960200Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8960262Z             }
2022-11-23T01:32:29.8960331Z             
2022-11-23T01:32:29.8960406Z  - 
2022-11-23T01:32:29.8960535Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8960604Z             {
2022-11-23T01:32:29.8960745Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8960969Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8961085Z                 'obj_weakref': None
2022-11-23T01:32:29.8961305Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8961381Z             }
2022-11-23T01:32:29.8961446Z             
2022-11-23T01:32:29.8961519Z  - 
2022-11-23T01:32:29.8961649Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:29.8961719Z             {
2022-11-23T01:32:29.8961836Z                 'guard_types': None,
2022-11-23T01:32:29.8961951Z                 'code': None,
2022-11-23T01:32:29.8962073Z                 'obj_weakref': None
2022-11-23T01:32:29.8962193Z                 'guarded_class': None
2022-11-23T01:32:29.8962258Z             }
2022-11-23T01:32:29.8962322Z             
2022-11-23T01:32:29.8962580Z [2022-11-23 01:24:04,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100
2022-11-23T01:32:29.8962943Z [2022-11-23 01:24:06,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckcindvshb4heqemo73gtt6imwifmo5guorezddr2kufqtgghwza.py
2022-11-23T01:32:29.8963207Z [2022-11-23 01:24:06,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100
2022-11-23T01:32:29.8963215Z 
2022-11-23T01:32:29.8963314Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8963389Z import torch
2022-11-23T01:32:29.8963464Z import random
2022-11-23T01:32:29.8963587Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8963713Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8963718Z 
2022-11-23T01:32:29.8963802Z aten = torch.ops.aten
2022-11-23T01:32:29.8963934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8964032Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8964037Z 
2022-11-23T01:32:29.8964112Z import triton
2022-11-23T01:32:29.8964206Z import triton.language as tl
2022-11-23T01:32:29.8964365Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8964512Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8964517Z 
2022-11-23T01:32:29.8964521Z 
2022-11-23T01:32:29.8964685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8964897Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8965016Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8965123Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8965228Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.8965333Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.8965400Z {
2022-11-23T01:32:29.8965504Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8965573Z     {
2022-11-23T01:32:29.8965649Z         #pragma omp for 
2022-11-23T01:32:29.8965738Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.8965808Z         {
2022-11-23T01:32:29.8965955Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8966099Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.8966194Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8966339Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:29.8966460Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:32:29.8966598Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:32:29.8966714Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:32:29.8966855Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:29.8966948Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:29.8967039Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:32:29.8967154Z             auto tmp10 = at::vec::maximum(tmp9, tmp3);
2022-11-23T01:32:29.8967272Z             auto tmp11 = at::vec::minimum(tmp10, tmp5);
2022-11-23T01:32:29.8967361Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:32:29.8967495Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:32:29.8967587Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:32:29.8967707Z             auto tmp15 = at::vec::maximum(tmp14, tmp3);
2022-11-23T01:32:29.8967824Z             auto tmp16 = at::vec::minimum(tmp15, tmp5);
2022-11-23T01:32:29.8967918Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:32:29.8968017Z             tmp8.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.8968117Z             tmp12.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.8968207Z             tmp17.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.8968275Z         }
2022-11-23T01:32:29.8968376Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.8968467Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.8968536Z         {
2022-11-23T01:32:29.8968627Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.8968733Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.8968821Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8968929Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:32:29.8969035Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:32:29.8969145Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:32:29.8969250Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:32:29.8969355Z             auto tmp7 = static_cast<float>(6);
2022-11-23T01:32:29.8969445Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:29.8969527Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:32:29.8969633Z             auto tmp10 = std::max(tmp9, tmp3);
2022-11-23T01:32:29.8969741Z             auto tmp11 = std::min(tmp10, tmp5);
2022-11-23T01:32:29.8969834Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:32:29.8969966Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:32:29.8970058Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:32:29.8970162Z             auto tmp15 = std::max(tmp14, tmp3);
2022-11-23T01:32:29.8970292Z             auto tmp16 = std::min(tmp15, tmp5);
2022-11-23T01:32:29.8970386Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:32:29.8970473Z             out_ptr0[i0] = tmp8;
2022-11-23T01:32:29.8970583Z             out_ptr1[i0] = tmp12;
2022-11-23T01:32:29.8970670Z             out_ptr2[i0] = tmp17;
2022-11-23T01:32:29.8970739Z         }
2022-11-23T01:32:29.8970807Z     }
2022-11-23T01:32:29.8970866Z }
2022-11-23T01:32:29.8970953Z ''')
2022-11-23T01:32:29.8970958Z 
2022-11-23T01:32:29.8970963Z 
2022-11-23T01:32:29.8971059Z async_compile.wait(globals())
2022-11-23T01:32:29.8971138Z del async_compile
2022-11-23T01:32:29.8971143Z 
2022-11-23T01:32:29.8971220Z def call(args):
2022-11-23T01:32:29.8971297Z     arg0_1, = args
2022-11-23T01:32:29.8971375Z     args.clear()
2022-11-23T01:32:29.8971567Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8971761Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8971953Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8972148Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.8972229Z     del arg0_1
2022-11-23T01:32:29.8972317Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.8972323Z 
2022-11-23T01:32:29.8972327Z 
2022-11-23T01:32:29.8972410Z if __name__ == "__main__":
2022-11-23T01:32:29.8972532Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.8972653Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.8972852Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.8972965Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.8972970Z 
2022-11-23T01:32:29.8973041Z ok (1.635s)
2022-11-23T01:32:29.8973351Z   test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:24:06,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.8973669Z [2022-11-23 01:24:06,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.8973893Z [2022-11-23 01:24:06,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.8974148Z [2022-11-23 01:24:06,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.8974426Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.8974743Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8975075Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8975397Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.8975764Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629> 
2022-11-23T01:32:29.8975870Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8975981Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:29.8976079Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8976174Z                6 CALL_METHOD              1
2022-11-23T01:32:29.8976273Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8976372Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:29.8976469Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8976564Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:29.8976675Z               16 BINARY_ADD
2022-11-23T01:32:29.8976773Z               18 CALL_METHOD              1
2022-11-23T01:32:29.8976870Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.8976999Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:29.8977086Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:29.8977181Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:29.8977269Z               28 BINARY_SUBTRACT
2022-11-23T01:32:29.8977361Z               30 CALL_METHOD              1
2022-11-23T01:32:29.8977454Z               32 BUILD_TUPLE              3
2022-11-23T01:32:29.8977537Z               34 RETURN_VALUE
2022-11-23T01:32:29.8977602Z  
2022-11-23T01:32:29.8977607Z 
2022-11-23T01:32:29.8977919Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630
2022-11-23T01:32:29.8978132Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:29.8978535Z [2022-11-23 01:24:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8978953Z [2022-11-23 01:24:06,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:29.8979279Z [2022-11-23 01:24:06,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:29.8979522Z [2022-11-23 01:24:06,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:29.8979948Z [2022-11-23 01:24:06,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8980265Z [2022-11-23 01:24:06,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:29.8980611Z [2022-11-23 01:24:06,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:29.8980994Z [2022-11-23 01:24:06,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8981336Z [2022-11-23 01:24:06,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:29.8981603Z [2022-11-23 01:24:06,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8982068Z [2022-11-23 01:24:06,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.8982399Z [2022-11-23 01:24:06,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:29.8982767Z [2022-11-23 01:24:06,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:29.8983180Z [2022-11-23 01:24:06,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.8983595Z [2022-11-23 01:24:06,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:29.8983892Z [2022-11-23 01:24:06,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.8984165Z [2022-11-23 01:24:06,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8984539Z [2022-11-23 01:24:06,190] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629>
2022-11-23T01:32:29.8984787Z [2022-11-23 01:24:06,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.8985025Z [2022-11-23 01:24:06,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.8985286Z [2022-11-23 01:24:06,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.8985539Z [2022-11-23 01:24:06,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.8985736Z [2022-11-23 01:24:06,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.8985866Z  __compiled_fn_102 <eval_with_key>.646 opcode, name, target, args, kwargs
2022-11-23T01:32:29.8985961Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.8986107Z call_function, hardswish, <function hardswish at 0x7f2073d57760>, (ex_0_,), {}
2022-11-23T01:32:29.8986286Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:29.8986433Z call_function, hardswish_1, <function hardswish at 0x7f2073d57760>, (add,), {}
2022-11-23T01:32:29.8986606Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:29.8986750Z call_function, hardswish_2, <function hardswish at 0x7f2073d57760>, (sub,), {}
2022-11-23T01:32:29.8986887Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T01:32:29.8986901Z 
2022-11-23T01:32:29.8987214Z [2022-11-23 01:24:06,201] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8987318Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.8987415Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8987508Z               4 BUILD_MAP                0
2022-11-23T01:32:29.8987609Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.8987700Z               8 DICT_MERGE               1
2022-11-23T01:32:29.8987795Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.8987869Z              12 RETURN_VALUE
2022-11-23T01:32:29.8987883Z 
2022-11-23T01:32:29.8987941Z  
2022-11-23T01:32:29.8988263Z [2022-11-23 01:24:06,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.8988382Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_102)
2022-11-23T01:32:29.8988476Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.8988573Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8988659Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.8988752Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.8988856Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.8988965Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8989062Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.8989145Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.8989252Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8989348Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.8989429Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.8989529Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.8989658Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.8989744Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.8989839Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.8989923Z              32 RETURN_VALUE
2022-11-23T01:32:29.8989954Z 
2022-11-23T01:32:29.8990020Z  
2022-11-23T01:32:29.8990210Z [2022-11-23 01:24:06,202] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.8990354Z  - 
2022-11-23T01:32:29.8990500Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.8990583Z             {
2022-11-23T01:32:29.8990750Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.8990959Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.8991085Z                 'obj_weakref': None
2022-11-23T01:32:29.8991316Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.8991378Z             }
2022-11-23T01:32:29.8991447Z             
2022-11-23T01:32:29.8991523Z  - 
2022-11-23T01:32:29.8991655Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.8991723Z             {
2022-11-23T01:32:29.8991871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.8991986Z                 'code': None,
2022-11-23T01:32:29.8992189Z                 'obj_weakref': <weakref at 0x7f2060736f70; to 'Tensor' at 0x7f2151eec4a0>
2022-11-23T01:32:29.8992437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.8992506Z             }
2022-11-23T01:32:29.8992573Z             
2022-11-23T01:32:29.8992652Z  - 
2022-11-23T01:32:29.8992788Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.8992856Z             {
2022-11-23T01:32:29.8992989Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.8993166Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.8993290Z                 'obj_weakref': None
2022-11-23T01:32:29.8993523Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.8993593Z             }
2022-11-23T01:32:29.8993662Z             
2022-11-23T01:32:29.8993737Z  - 
2022-11-23T01:32:29.8993859Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.8993929Z             {
2022-11-23T01:32:29.8994071Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.8994287Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.8994409Z                 'obj_weakref': None
2022-11-23T01:32:29.8994631Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.8994702Z             }
2022-11-23T01:32:29.8994763Z             
2022-11-23T01:32:29.8994838Z  - 
2022-11-23T01:32:29.8994966Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:29.8995036Z             {
2022-11-23T01:32:29.8995159Z                 'guard_types': None,
2022-11-23T01:32:29.8995274Z                 'code': None,
2022-11-23T01:32:29.8995396Z                 'obj_weakref': None
2022-11-23T01:32:29.8995513Z                 'guarded_class': None
2022-11-23T01:32:29.8995582Z             }
2022-11-23T01:32:29.8995655Z             
2022-11-23T01:32:29.8995914Z [2022-11-23 01:24:06,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101
2022-11-23T01:32:29.8996274Z [2022-11-23 01:24:07,845] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nq/cnq33pzak7ghsa6hfgpdw25morgjd4yamychmob3irgjkfjjrlao.py
2022-11-23T01:32:29.8996537Z [2022-11-23 01:24:07,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101
2022-11-23T01:32:29.8996543Z 
2022-11-23T01:32:29.8996642Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.8996717Z import torch
2022-11-23T01:32:29.8996783Z import random
2022-11-23T01:32:29.8996904Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.8997064Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.8997070Z 
2022-11-23T01:32:29.8997154Z aten = torch.ops.aten
2022-11-23T01:32:29.8997296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.8997418Z async_compile = AsyncCompile()
2022-11-23T01:32:29.8997424Z 
2022-11-23T01:32:29.8997496Z import triton
2022-11-23T01:32:29.8997582Z import triton.language as tl
2022-11-23T01:32:29.8997708Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.8997852Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.8997857Z 
2022-11-23T01:32:29.8997862Z 
2022-11-23T01:32:29.8997999Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.8998208Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.8998333Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.8998441Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.8998547Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.8998641Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.8998708Z {
2022-11-23T01:32:29.8998811Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.8998882Z     {
2022-11-23T01:32:29.8998964Z         #pragma omp for 
2022-11-23T01:32:29.8999052Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.8999122Z         {
2022-11-23T01:32:29.8999258Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.8999398Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.8999488Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.8999631Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:29.8999748Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:32:29.8999889Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:32:29.9000005Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:32:29.9000094Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:32:29.9000234Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:29.9000320Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:32:29.9000410Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:32:29.9000525Z             auto tmp11 = at::vec::maximum(tmp10, tmp3);
2022-11-23T01:32:29.9000640Z             auto tmp12 = at::vec::minimum(tmp11, tmp5);
2022-11-23T01:32:29.9000734Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:32:29.9000824Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:32:29.9000952Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:32:29.9001034Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:32:29.9001149Z             auto tmp17 = at::vec::maximum(tmp16, tmp3);
2022-11-23T01:32:29.9001262Z             auto tmp18 = at::vec::minimum(tmp17, tmp5);
2022-11-23T01:32:29.9001355Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:32:29.9001445Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:32:29.9001543Z             tmp9.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9001642Z             tmp14.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9001735Z             tmp20.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9001803Z         }
2022-11-23T01:32:29.9001903Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9001992Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.9002061Z         {
2022-11-23T01:32:29.9002155Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9002260Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.9002342Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9002450Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:32:29.9002554Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:32:29.9002661Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:32:29.9002766Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:32:29.9002894Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:32:29.9003002Z             auto tmp8 = static_cast<float>(6);
2022-11-23T01:32:29.9003083Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:32:29.9003196Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:32:29.9003302Z             auto tmp11 = std::max(tmp10, tmp3);
2022-11-23T01:32:29.9003407Z             auto tmp12 = std::min(tmp11, tmp5);
2022-11-23T01:32:29.9003501Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:32:29.9003591Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:32:29.9003720Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:32:29.9003802Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:32:29.9003907Z             auto tmp17 = std::max(tmp16, tmp3);
2022-11-23T01:32:29.9004013Z             auto tmp18 = std::min(tmp17, tmp5);
2022-11-23T01:32:29.9004104Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:32:29.9004193Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:32:29.9004282Z             out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.9004368Z             out_ptr1[i0] = tmp14;
2022-11-23T01:32:29.9004452Z             out_ptr2[i0] = tmp20;
2022-11-23T01:32:29.9004512Z         }
2022-11-23T01:32:29.9004584Z     }
2022-11-23T01:32:29.9004650Z }
2022-11-23T01:32:29.9004738Z ''')
2022-11-23T01:32:29.9004744Z 
2022-11-23T01:32:29.9004749Z 
2022-11-23T01:32:29.9004843Z async_compile.wait(globals())
2022-11-23T01:32:29.9004922Z del async_compile
2022-11-23T01:32:29.9004928Z 
2022-11-23T01:32:29.9005003Z def call(args):
2022-11-23T01:32:29.9005070Z     arg0_1, = args
2022-11-23T01:32:29.9005146Z     args.clear()
2022-11-23T01:32:29.9005344Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9005537Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9005728Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9005927Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9006002Z     del arg0_1
2022-11-23T01:32:29.9006082Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9006098Z 
2022-11-23T01:32:29.9006103Z 
2022-11-23T01:32:29.9006177Z if __name__ == "__main__":
2022-11-23T01:32:29.9006297Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9006425Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9006623Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9006736Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9006741Z 
2022-11-23T01:32:29.9006812Z ok (1.673s)
2022-11-23T01:32:29.9007125Z   test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9007441Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9007653Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9007908Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9008187Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9008502Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9008841Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9009159Z [2022-11-23 01:24:07,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9009557Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611> 
2022-11-23T01:32:29.9009685Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.9009791Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:29.9009889Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9009977Z                6 CALL_METHOD              1
2022-11-23T01:32:29.9010074Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.9010177Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:29.9010270Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9010364Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9010443Z               16 BINARY_ADD
2022-11-23T01:32:29.9010539Z               18 CALL_METHOD              1
2022-11-23T01:32:29.9010630Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:29.9010733Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:29.9010829Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9010925Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9011012Z               28 BINARY_SUBTRACT
2022-11-23T01:32:29.9011106Z               30 CALL_METHOD              1
2022-11-23T01:32:29.9011198Z               32 BUILD_TUPLE              3
2022-11-23T01:32:29.9011272Z               34 RETURN_VALUE
2022-11-23T01:32:29.9011338Z  
2022-11-23T01:32:29.9011343Z 
2022-11-23T01:32:29.9011659Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612
2022-11-23T01:32:29.9011874Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:29.9012285Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.9012580Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:29.9012906Z [2022-11-23 01:24:07,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:29.9013148Z [2022-11-23 01:24:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:29.9013569Z [2022-11-23 01:24:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.9013889Z [2022-11-23 01:24:07,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:29.9014223Z [2022-11-23 01:24:07,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:29.9014605Z [2022-11-23 01:24:07,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9014946Z [2022-11-23 01:24:07,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:29.9015211Z [2022-11-23 01:24:07,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9015689Z [2022-11-23 01:24:07,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:29.9016029Z [2022-11-23 01:24:07,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:29.9016415Z [2022-11-23 01:24:07,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:29.9016830Z [2022-11-23 01:24:07,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9017201Z [2022-11-23 01:24:07,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:29.9017504Z [2022-11-23 01:24:07,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9017751Z [2022-11-23 01:24:07,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9018123Z [2022-11-23 01:24:07,859] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611>
2022-11-23T01:32:29.9018371Z [2022-11-23 01:24:07,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9018600Z [2022-11-23 01:24:07,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9018971Z [2022-11-23 01:24:07,860] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9019227Z [2022-11-23 01:24:07,866] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9019417Z [2022-11-23 01:24:07,866] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9019554Z  __compiled_fn_103 <eval_with_key>.652 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9019655Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9019801Z call_function, hardtanh, <function hardtanh at 0x7f2073d56b90>, (ex_0_,), {}
2022-11-23T01:32:29.9019975Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9020108Z call_function, hardtanh_1, <function hardtanh at 0x7f2073d56b90>, (add,), {}
2022-11-23T01:32:29.9020278Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:29.9020416Z call_function, hardtanh_2, <function hardtanh at 0x7f2073d56b90>, (sub,), {}
2022-11-23T01:32:29.9020557Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T01:32:29.9020563Z 
2022-11-23T01:32:29.9020887Z [2022-11-23 01:24:07,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9020987Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9021085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9021182Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9021275Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9021367Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9021461Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9021541Z              12 RETURN_VALUE
2022-11-23T01:32:29.9021547Z 
2022-11-23T01:32:29.9021613Z  
2022-11-23T01:32:29.9021934Z [2022-11-23 01:24:07,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9022051Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_103)
2022-11-23T01:32:29.9022150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9022283Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9022368Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9022464Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9022579Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9022764Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9022863Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9022944Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.9023044Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9023138Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9023220Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9023328Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9023422Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9023502Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9023598Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.9023674Z              32 RETURN_VALUE
2022-11-23T01:32:29.9023687Z 
2022-11-23T01:32:29.9023746Z  
2022-11-23T01:32:29.9023932Z [2022-11-23 01:24:07,867] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9024011Z  - 
2022-11-23T01:32:29.9024135Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9024203Z             {
2022-11-23T01:32:29.9024347Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9024536Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9024653Z                 'obj_weakref': None
2022-11-23T01:32:29.9024875Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9024944Z             }
2022-11-23T01:32:29.9025013Z             
2022-11-23T01:32:29.9025090Z  - 
2022-11-23T01:32:29.9025217Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9025278Z             {
2022-11-23T01:32:29.9025424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9025537Z                 'code': None,
2022-11-23T01:32:29.9025752Z                 'obj_weakref': <weakref at 0x7f20680b33d0; to 'Tensor' at 0x7f202322a610>
2022-11-23T01:32:29.9026005Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9026072Z             }
2022-11-23T01:32:29.9026140Z             
2022-11-23T01:32:29.9026215Z  - 
2022-11-23T01:32:29.9026343Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9026411Z             {
2022-11-23T01:32:29.9026554Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9026729Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9026854Z                 'obj_weakref': None
2022-11-23T01:32:29.9027084Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9027153Z             }
2022-11-23T01:32:29.9027214Z             
2022-11-23T01:32:29.9027291Z  - 
2022-11-23T01:32:29.9027417Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9027486Z             {
2022-11-23T01:32:29.9027626Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9027846Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9027969Z                 'obj_weakref': None
2022-11-23T01:32:29.9028186Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9028256Z             }
2022-11-23T01:32:29.9028325Z             
2022-11-23T01:32:29.9028400Z  - 
2022-11-23T01:32:29.9028531Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:29.9028601Z             {
2022-11-23T01:32:29.9028717Z                 'guard_types': None,
2022-11-23T01:32:29.9028828Z                 'code': None,
2022-11-23T01:32:29.9028949Z                 'obj_weakref': None
2022-11-23T01:32:29.9029074Z                 'guarded_class': None
2022-11-23T01:32:29.9029179Z             }
2022-11-23T01:32:29.9029248Z             
2022-11-23T01:32:29.9029506Z [2022-11-23 01:24:07,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102
2022-11-23T01:32:29.9029885Z [2022-11-23 01:24:09,481] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/cul5j563i2bo5tec3u3hkaxwganxdmfvidvtyt6sekevufomij25.py
2022-11-23T01:32:29.9030140Z [2022-11-23 01:24:09,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102
2022-11-23T01:32:29.9030146Z 
2022-11-23T01:32:29.9030312Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9030406Z import torch
2022-11-23T01:32:29.9030487Z import random
2022-11-23T01:32:29.9030608Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9030734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9030740Z 
2022-11-23T01:32:29.9030823Z aten = torch.ops.aten
2022-11-23T01:32:29.9030960Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9031059Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9031063Z 
2022-11-23T01:32:29.9031138Z import triton
2022-11-23T01:32:29.9031232Z import triton.language as tl
2022-11-23T01:32:29.9031364Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9031508Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9031514Z 
2022-11-23T01:32:29.9031518Z 
2022-11-23T01:32:29.9031658Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9031869Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9031995Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9032096Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9032200Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9032301Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9032367Z {
2022-11-23T01:32:29.9032473Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9032540Z     {
2022-11-23T01:32:29.9032616Z         #pragma omp for 
2022-11-23T01:32:29.9032705Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9032779Z         {
2022-11-23T01:32:29.9032922Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9033125Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.0));
2022-11-23T01:32:29.9033242Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:32:29.9033384Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:29.9033501Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:32:29.9033640Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9033724Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:29.9033838Z             auto tmp7 = at::vec::maximum(tmp6, tmp1);
2022-11-23T01:32:29.9033955Z             auto tmp8 = at::vec::minimum(tmp7, tmp3);
2022-11-23T01:32:29.9034084Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:32:29.9034200Z             auto tmp10 = at::vec::maximum(tmp9, tmp1);
2022-11-23T01:32:29.9034320Z             auto tmp11 = at::vec::minimum(tmp10, tmp3);
2022-11-23T01:32:29.9034419Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9034509Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9034607Z             tmp11.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9034677Z         }
2022-11-23T01:32:29.9034779Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9034869Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:29.9034938Z         {
2022-11-23T01:32:29.9035029Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9035174Z             auto tmp1 = static_cast<float>(-1.0);
2022-11-23T01:32:29.9035281Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:29.9035389Z             auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:29.9035526Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:29.9035634Z             auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:29.9035725Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:29.9035857Z             auto tmp7 = std::max(tmp6, tmp1);
2022-11-23T01:32:29.9035952Z             auto tmp8 = std::min(tmp7, tmp3);
2022-11-23T01:32:29.9036081Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:32:29.9036185Z             auto tmp10 = std::max(tmp9, tmp1);
2022-11-23T01:32:29.9036293Z             auto tmp11 = std::min(tmp10, tmp3);
2022-11-23T01:32:29.9036382Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.9036469Z             out_ptr1[i0] = tmp8;
2022-11-23T01:32:29.9036556Z             out_ptr2[i0] = tmp11;
2022-11-23T01:32:29.9036624Z         }
2022-11-23T01:32:29.9036684Z     }
2022-11-23T01:32:29.9036751Z }
2022-11-23T01:32:29.9036835Z ''')
2022-11-23T01:32:29.9036841Z 
2022-11-23T01:32:29.9036845Z 
2022-11-23T01:32:29.9036942Z async_compile.wait(globals())
2022-11-23T01:32:29.9037026Z del async_compile
2022-11-23T01:32:29.9037032Z 
2022-11-23T01:32:29.9037108Z def call(args):
2022-11-23T01:32:29.9037184Z     arg0_1, = args
2022-11-23T01:32:29.9037253Z     args.clear()
2022-11-23T01:32:29.9037459Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9037650Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9037840Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9038041Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9038118Z     del arg0_1
2022-11-23T01:32:29.9038206Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9038211Z 
2022-11-23T01:32:29.9038216Z 
2022-11-23T01:32:29.9038298Z if __name__ == "__main__":
2022-11-23T01:32:29.9038412Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9038544Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9038742Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9038854Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9038863Z 
2022-11-23T01:32:29.9038940Z ok (1.636s)
2022-11-23T01:32:29.9039255Z   test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9039570Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9039790Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9040036Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9040317Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9040634Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9040976Z [2022-11-23 01:24:09,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9041295Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9041661Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688> 
2022-11-23T01:32:29.9041760Z  689           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9041858Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9041970Z               4 BINARY_ADD
2022-11-23T01:32:29.9042071Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9042158Z               8 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9042245Z              10 BINARY_SUBTRACT
2022-11-23T01:32:29.9042360Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9042455Z              14 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9042540Z              16 BINARY_MULTIPLY
2022-11-23T01:32:29.9042638Z              18 BUILD_TUPLE              3
2022-11-23T01:32:29.9042722Z              20 RETURN_VALUE
2022-11-23T01:32:29.9042783Z  
2022-11-23T01:32:29.9042787Z 
2022-11-23T01:32:29.9043101Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689
2022-11-23T01:32:29.9043313Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9043557Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.9043832Z [2022-11-23 01:24:09,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9044073Z [2022-11-23 01:24:09,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:29.9044338Z [2022-11-23 01:24:09,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9044644Z [2022-11-23 01:24:09,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9044904Z [2022-11-23 01:24:09,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9045185Z [2022-11-23 01:24:09,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9045521Z [2022-11-23 01:24:09,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9045818Z [2022-11-23 01:24:09,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9046070Z [2022-11-23 01:24:09,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9046447Z [2022-11-23 01:24:09,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688>
2022-11-23T01:32:29.9046695Z [2022-11-23 01:24:09,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9046930Z [2022-11-23 01:24:09,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9047186Z [2022-11-23 01:24:09,492] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9047436Z [2022-11-23 01:24:09,497] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9047632Z [2022-11-23 01:24:09,497] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9047766Z  __compiled_fn_104 <eval_with_key>.658 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9047861Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9047954Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9048045Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9048228Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:29.9048409Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T01:32:29.9048588Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T01:32:29.9048694Z output, output, output, ((add, sub, mul),), {}
2022-11-23T01:32:29.9048706Z 
2022-11-23T01:32:29.9049062Z [2022-11-23 01:24:09,498] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9049166Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9049286Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9049380Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9049479Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9049575Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9049672Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9049746Z              12 RETURN_VALUE
2022-11-23T01:32:29.9049752Z 
2022-11-23T01:32:29.9049818Z  
2022-11-23T01:32:29.9050140Z [2022-11-23 01:24:09,498] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9050258Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_104)
2022-11-23T01:32:29.9050356Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9050452Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9050535Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9050630Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9050721Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9050804Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9050898Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9050995Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9051078Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9051173Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9051286Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9051389Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9051485Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9051566Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9051679Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9051774Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9051855Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9051966Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9052053Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9052134Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.9052228Z              42 BUILD_TUPLE              3
2022-11-23T01:32:29.9052310Z              44 RETURN_VALUE
2022-11-23T01:32:29.9052315Z 
2022-11-23T01:32:29.9052381Z  
2022-11-23T01:32:29.9052572Z [2022-11-23 01:24:09,499] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9052648Z  - 
2022-11-23T01:32:29.9052766Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9052835Z             {
2022-11-23T01:32:29.9052981Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9053174Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9053302Z                 'obj_weakref': None
2022-11-23T01:32:29.9053528Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9053601Z             }
2022-11-23T01:32:29.9053663Z             
2022-11-23T01:32:29.9053740Z  - 
2022-11-23T01:32:29.9053868Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9053937Z             {
2022-11-23T01:32:29.9054084Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9054196Z                 'code': None,
2022-11-23T01:32:29.9054406Z                 'obj_weakref': <weakref at 0x7f20601245e0; to 'Tensor' at 0x7f207269bb00>
2022-11-23T01:32:29.9054649Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9054721Z             }
2022-11-23T01:32:29.9054790Z             
2022-11-23T01:32:29.9054867Z  - 
2022-11-23T01:32:29.9054994Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9055094Z             {
2022-11-23T01:32:29.9055243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9055347Z                 'code': None,
2022-11-23T01:32:29.9055556Z                 'obj_weakref': <weakref at 0x7f2115b4d850; to 'Tensor' at 0x7f2072699440>
2022-11-23T01:32:29.9055822Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9055891Z             }
2022-11-23T01:32:29.9055959Z             
2022-11-23T01:32:29.9056036Z  - 
2022-11-23T01:32:29.9056162Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9056224Z             {
2022-11-23T01:32:29.9056369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9056480Z                 'code': None,
2022-11-23T01:32:29.9056685Z                 'obj_weakref': <weakref at 0x7f207277c9f0; to 'Tensor' at 0x7f202322a610>
2022-11-23T01:32:29.9056936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9057006Z             }
2022-11-23T01:32:29.9057075Z             
2022-11-23T01:32:29.9057143Z  - 
2022-11-23T01:32:29.9057280Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9057352Z             {
2022-11-23T01:32:29.9057491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9057668Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9057791Z                 'obj_weakref': None
2022-11-23T01:32:29.9058020Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9058082Z             }
2022-11-23T01:32:29.9058151Z             
2022-11-23T01:32:29.9058226Z  - 
2022-11-23T01:32:29.9058350Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9058417Z             {
2022-11-23T01:32:29.9058557Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9058780Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9059098Z                 'obj_weakref': None
2022-11-23T01:32:29.9059322Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9059395Z             }
2022-11-23T01:32:29.9059464Z             
2022-11-23T01:32:29.9059726Z [2022-11-23 01:24:09,508] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103
2022-11-23T01:32:29.9060098Z [2022-11-23 01:24:11,117] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uh/cuhwgbxtoafmibpo2zho6c5onh7cdklcvvzclwcizgmpswghalml.py
2022-11-23T01:32:29.9060367Z [2022-11-23 01:24:11,117] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103
2022-11-23T01:32:29.9060373Z 
2022-11-23T01:32:29.9060474Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9060542Z import torch
2022-11-23T01:32:29.9060622Z import random
2022-11-23T01:32:29.9060746Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9060874Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9060879Z 
2022-11-23T01:32:29.9060964Z aten = torch.ops.aten
2022-11-23T01:32:29.9061109Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9061208Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9061213Z 
2022-11-23T01:32:29.9061288Z import triton
2022-11-23T01:32:29.9061375Z import triton.language as tl
2022-11-23T01:32:29.9061502Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9061646Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9061652Z 
2022-11-23T01:32:29.9061656Z 
2022-11-23T01:32:29.9061796Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9062005Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9062130Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9062290Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9062403Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9062502Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9062634Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9062736Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9062803Z {
2022-11-23T01:32:29.9062907Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9062973Z     {
2022-11-23T01:32:29.9063056Z         #pragma omp for 
2022-11-23T01:32:29.9063139Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:29.9063208Z         {
2022-11-23T01:32:29.9063349Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9063489Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.9063584Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9063682Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9063758Z         }
2022-11-23T01:32:29.9063853Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9063947Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:32:29.9064017Z         {
2022-11-23T01:32:29.9064111Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9064202Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.9064288Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9064379Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.9064440Z         }
2022-11-23T01:32:29.9064523Z         #pragma omp for 
2022-11-23T01:32:29.9064616Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9064685Z         {
2022-11-23T01:32:29.9064772Z             #pragma GCC ivdep
2022-11-23T01:32:29.9064861Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:29.9064931Z             {
2022-11-23T01:32:29.9065020Z                 for(long i2=0; i2<2; i2+=1)
2022-11-23T01:32:29.9065090Z                 {
2022-11-23T01:32:29.9065252Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:32:29.9065387Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:29.9065548Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:32:29.9065696Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.9065794Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:32:29.9065913Z                     tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:32:29.9066023Z                     tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:32:29.9066099Z                 }
2022-11-23T01:32:29.9066202Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:29.9066298Z                 for(long i2=16; i2<16; i2+=1)
2022-11-23T01:32:29.9066369Z                 {
2022-11-23T01:32:29.9066483Z                     auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)];
2022-11-23T01:32:29.9066582Z                     auto tmp1 = in_ptr2[i1];
2022-11-23T01:32:29.9066688Z                     auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)];
2022-11-23T01:32:29.9066829Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:29.9066927Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:32:29.9067036Z                     out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2;
2022-11-23T01:32:29.9067145Z                     out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4;
2022-11-23T01:32:29.9067214Z                 }
2022-11-23T01:32:29.9067283Z             }
2022-11-23T01:32:29.9067345Z         }
2022-11-23T01:32:29.9067413Z     }
2022-11-23T01:32:29.9067478Z }
2022-11-23T01:32:29.9067563Z ''')
2022-11-23T01:32:29.9067569Z 
2022-11-23T01:32:29.9067574Z 
2022-11-23T01:32:29.9067669Z async_compile.wait(globals())
2022-11-23T01:32:29.9067747Z del async_compile
2022-11-23T01:32:29.9067752Z 
2022-11-23T01:32:29.9067827Z def call(args):
2022-11-23T01:32:29.9067909Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9068018Z     args.clear()
2022-11-23T01:32:29.9068233Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9068440Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9068670Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9068912Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9068986Z     del arg0_1
2022-11-23T01:32:29.9069065Z     del arg1_1
2022-11-23T01:32:29.9069130Z     del arg2_1
2022-11-23T01:32:29.9069219Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9069224Z 
2022-11-23T01:32:29.9069229Z 
2022-11-23T01:32:29.9069311Z if __name__ == "__main__":
2022-11-23T01:32:29.9069433Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9069567Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9069780Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9069990Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9070200Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9070412Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9070419Z 
2022-11-23T01:32:29.9070505Z ok (1.636s)
2022-11-23T01:32:29.9070862Z   test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:11,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9071178Z [2022-11-23 01:24:11,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9071403Z [2022-11-23 01:24:11,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9071661Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9071943Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9072263Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9072601Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9072919Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9073281Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696> 
2022-11-23T01:32:29.9073380Z  697           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9073480Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9073562Z               4 BINARY_ADD
2022-11-23T01:32:29.9073658Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9073754Z               8 LOAD_CONST               2 (2)
2022-11-23T01:32:29.9073833Z              10 BINARY_ADD
2022-11-23T01:32:29.9073920Z              12 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9074016Z              14 LOAD_CONST               3 (3)
2022-11-23T01:32:29.9074096Z              16 BINARY_ADD
2022-11-23T01:32:29.9074191Z              18 BUILD_TUPLE              3
2022-11-23T01:32:29.9074275Z              20 RETURN_VALUE
2022-11-23T01:32:29.9074342Z  
2022-11-23T01:32:29.9074348Z 
2022-11-23T01:32:29.9074695Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697
2022-11-23T01:32:29.9074915Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9075152Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.9075460Z [2022-11-23 01:24:11,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9075704Z [2022-11-23 01:24:11,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.9075974Z [2022-11-23 01:24:11,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9076280Z [2022-11-23 01:24:11,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9076550Z [2022-11-23 01:24:11,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9076848Z [2022-11-23 01:24:11,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9077188Z [2022-11-23 01:24:11,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9077485Z [2022-11-23 01:24:11,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9077736Z [2022-11-23 01:24:11,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9078103Z [2022-11-23 01:24:11,126] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696>
2022-11-23T01:32:29.9078355Z [2022-11-23 01:24:11,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9078596Z [2022-11-23 01:24:11,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9078857Z [2022-11-23 01:24:11,127] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9079114Z [2022-11-23 01:24:11,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9079311Z [2022-11-23 01:24:11,131] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9079453Z  __compiled_fn_105 <eval_with_key>.664 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9079547Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9079640Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9079725Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9079905Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9080087Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:29.9080266Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:29.9080383Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:29.9080388Z 
2022-11-23T01:32:29.9080720Z [2022-11-23 01:24:11,131] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9080822Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9080919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9081007Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9081108Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9081201Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9081299Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9081382Z              12 RETURN_VALUE
2022-11-23T01:32:29.9081387Z 
2022-11-23T01:32:29.9081454Z  
2022-11-23T01:32:29.9081811Z [2022-11-23 01:24:11,131] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9081924Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_105)
2022-11-23T01:32:29.9082045Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9082143Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9082228Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9082323Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9082421Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9082504Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9082598Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9082685Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9082768Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9082863Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9082976Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9083091Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9083189Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9083272Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9083378Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9083476Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9083558Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9083666Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9083761Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9083846Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.9083941Z              42 BUILD_TUPLE              3
2022-11-23T01:32:29.9084016Z              44 RETURN_VALUE
2022-11-23T01:32:29.9084023Z 
2022-11-23T01:32:29.9084088Z  
2022-11-23T01:32:29.9084279Z [2022-11-23 01:24:11,132] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9084356Z  - 
2022-11-23T01:32:29.9084486Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9084557Z             {
2022-11-23T01:32:29.9084704Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9084889Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9085019Z                 'obj_weakref': None
2022-11-23T01:32:29.9085248Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9085319Z             }
2022-11-23T01:32:29.9085389Z             
2022-11-23T01:32:29.9085466Z  - 
2022-11-23T01:32:29.9085597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9085660Z             {
2022-11-23T01:32:29.9085808Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9085922Z                 'code': None,
2022-11-23T01:32:29.9086134Z                 'obj_weakref': <weakref at 0x7f2060155760; to 'Tensor' at 0x7f20601848b0>
2022-11-23T01:32:29.9086387Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9086457Z             }
2022-11-23T01:32:29.9086526Z             
2022-11-23T01:32:29.9086596Z  - 
2022-11-23T01:32:29.9086725Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9086798Z             {
2022-11-23T01:32:29.9086945Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9087060Z                 'code': None,
2022-11-23T01:32:29.9087268Z                 'obj_weakref': <weakref at 0x7f2060156480; to 'Tensor' at 0x7f2151eec590>
2022-11-23T01:32:29.9087511Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9087575Z             }
2022-11-23T01:32:29.9087646Z             
2022-11-23T01:32:29.9087724Z  - 
2022-11-23T01:32:29.9087852Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9087921Z             {
2022-11-23T01:32:29.9088067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9088210Z                 'code': None,
2022-11-23T01:32:29.9088409Z                 'obj_weakref': <weakref at 0x7f207277e110; to 'Tensor' at 0x7f2151eec5e0>
2022-11-23T01:32:29.9088664Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9088756Z             }
2022-11-23T01:32:29.9088825Z             
2022-11-23T01:32:29.9088902Z  - 
2022-11-23T01:32:29.9089039Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9089109Z             {
2022-11-23T01:32:29.9089243Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9089422Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9089549Z                 'obj_weakref': None
2022-11-23T01:32:29.9089783Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9089854Z             }
2022-11-23T01:32:29.9089923Z             
2022-11-23T01:32:29.9089999Z  - 
2022-11-23T01:32:29.9090122Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9090192Z             {
2022-11-23T01:32:29.9090334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9090557Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9090687Z                 'obj_weakref': None
2022-11-23T01:32:29.9090913Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9090983Z             }
2022-11-23T01:32:29.9091045Z             
2022-11-23T01:32:29.9091309Z [2022-11-23 01:24:11,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104
2022-11-23T01:32:29.9091675Z [2022-11-23 01:24:12,759] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpijg7gxiq4pucrczl4pp672judlvlr4rjjotojh3lrtjill7lo.py
2022-11-23T01:32:29.9091943Z [2022-11-23 01:24:12,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104
2022-11-23T01:32:29.9091949Z 
2022-11-23T01:32:29.9092050Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9092128Z import torch
2022-11-23T01:32:29.9092206Z import random
2022-11-23T01:32:29.9092333Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9092454Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9092467Z 
2022-11-23T01:32:29.9092544Z aten = torch.ops.aten
2022-11-23T01:32:29.9092685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9092786Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9092791Z 
2022-11-23T01:32:29.9092866Z import triton
2022-11-23T01:32:29.9092960Z import triton.language as tl
2022-11-23T01:32:29.9093087Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9093234Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9093239Z 
2022-11-23T01:32:29.9093244Z 
2022-11-23T01:32:29.9093375Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9093593Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9093722Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9093837Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9093948Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9094055Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9094159Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9094261Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9094322Z {
2022-11-23T01:32:29.9094427Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9094496Z     {
2022-11-23T01:32:29.9094581Z         #pragma omp for 
2022-11-23T01:32:29.9094671Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:29.9094740Z         {
2022-11-23T01:32:29.9094884Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9095060Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9095155Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9095255Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9095348Z         }
2022-11-23T01:32:29.9095451Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9095547Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:29.9095617Z         {
2022-11-23T01:32:29.9095700Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9095809Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9095901Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9095988Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.9096058Z         }
2022-11-23T01:32:29.9096142Z         #pragma omp for 
2022-11-23T01:32:29.9096231Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.9096293Z         {
2022-11-23T01:32:29.9096435Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.9096576Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:29.9096667Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9096767Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9096836Z         }
2022-11-23T01:32:29.9096938Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9097022Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.9097091Z         {
2022-11-23T01:32:29.9097181Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.9097286Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:29.9097376Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9097462Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.9097530Z         }
2022-11-23T01:32:29.9097606Z         #pragma omp for 
2022-11-23T01:32:29.9097693Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.9097763Z         {
2022-11-23T01:32:29.9097902Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:29.9098039Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:29.9098130Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9098231Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9098293Z         }
2022-11-23T01:32:29.9098396Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9098485Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:29.9098555Z         {
2022-11-23T01:32:29.9098645Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:29.9098751Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:29.9099137Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9099219Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:29.9099289Z         }
2022-11-23T01:32:29.9099359Z     }
2022-11-23T01:32:29.9099425Z }
2022-11-23T01:32:29.9099518Z ''')
2022-11-23T01:32:29.9099523Z 
2022-11-23T01:32:29.9099528Z 
2022-11-23T01:32:29.9099623Z async_compile.wait(globals())
2022-11-23T01:32:29.9099706Z del async_compile
2022-11-23T01:32:29.9099712Z 
2022-11-23T01:32:29.9099781Z def call(args):
2022-11-23T01:32:29.9099873Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9099949Z     args.clear()
2022-11-23T01:32:29.9100163Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9100366Z     buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9100563Z     buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9100805Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9100881Z     del arg0_1
2022-11-23T01:32:29.9100947Z     del arg1_1
2022-11-23T01:32:29.9101022Z     del arg2_1
2022-11-23T01:32:29.9101112Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9101118Z 
2022-11-23T01:32:29.9101122Z 
2022-11-23T01:32:29.9101250Z if __name__ == "__main__":
2022-11-23T01:32:29.9101375Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9101505Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9101742Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9101935Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9102131Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9102261Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9102266Z 
2022-11-23T01:32:29.9102338Z ok (1.644s)
2022-11-23T01:32:29.9102647Z   test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9102966Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9103187Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9103442Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9103725Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9104043Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9104377Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9104698Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9105070Z [2022-11-23 01:24:12,767] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:29.9105177Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9105277Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:29.9105375Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9105474Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9105571Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9105659Z               10 BUILD_LIST               2
2022-11-23T01:32:29.9105754Z               12 CALL_METHOD              2
2022-11-23T01:32:29.9105838Z               14 RETURN_VALUE
2022-11-23T01:32:29.9105906Z  
2022-11-23T01:32:29.9105911Z 
2022-11-23T01:32:29.9106230Z [2022-11-23 01:24:12,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:29.9106449Z [2022-11-23 01:24:12,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9106755Z [2022-11-23 01:24:12,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9107011Z [2022-11-23 01:24:12,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:29.9107290Z [2022-11-23 01:24:12,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:29.9107587Z [2022-11-23 01:24:12,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9107917Z [2022-11-23 01:24:12,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9108253Z [2022-11-23 01:24:12,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9108504Z [2022-11-23 01:24:12,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9108903Z [2022-11-23 01:24:12,775] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:29.9109153Z [2022-11-23 01:24:12,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9109389Z [2022-11-23 01:24:12,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9109645Z [2022-11-23 01:24:12,776] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9109903Z [2022-11-23 01:24:12,779] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9110096Z [2022-11-23 01:24:12,779] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9110228Z  __compiled_fn_106 <eval_with_key>.670 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9110399Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9110506Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9110610Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9110753Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:29.9110877Z output, output, output, ((index,),), {}
2022-11-23T01:32:29.9110882Z 
2022-11-23T01:32:29.9111207Z [2022-11-23 01:24:12,779] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9111310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9111401Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9111500Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9111601Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9111695Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9111791Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9111877Z              12 RETURN_VALUE
2022-11-23T01:32:29.9111883Z 
2022-11-23T01:32:29.9111949Z  
2022-11-23T01:32:29.9112265Z [2022-11-23 01:24:12,779] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9112384Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_106)
2022-11-23T01:32:29.9112484Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9112581Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9112665Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9112761Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9112856Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9112940Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9113028Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9113121Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9113206Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9113301Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9113399Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9113483Z              24 RETURN_VALUE
2022-11-23T01:32:29.9113488Z 
2022-11-23T01:32:29.9113555Z  
2022-11-23T01:32:29.9113735Z [2022-11-23 01:24:12,780] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9113813Z  - 
2022-11-23T01:32:29.9113940Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9114011Z             {
2022-11-23T01:32:29.9114157Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9114347Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9114472Z                 'obj_weakref': None
2022-11-23T01:32:29.9114726Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9114800Z             }
2022-11-23T01:32:29.9114872Z             
2022-11-23T01:32:29.9114968Z  - 
2022-11-23T01:32:29.9115098Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9115167Z             {
2022-11-23T01:32:29.9115317Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9115423Z                 'code': None,
2022-11-23T01:32:29.9115634Z                 'obj_weakref': <weakref at 0x7f2115adb3d0; to 'Tensor' at 0x7f2023388810>
2022-11-23T01:32:29.9115885Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9115958Z             }
2022-11-23T01:32:29.9116030Z             
2022-11-23T01:32:29.9116107Z  - 
2022-11-23T01:32:29.9116235Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9116298Z             {
2022-11-23T01:32:29.9116450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9116565Z                 'code': None,
2022-11-23T01:32:29.9116769Z                 'obj_weakref': <weakref at 0x7f2060184130; to 'Tensor' at 0x7f2115a8b6f0>
2022-11-23T01:32:29.9117022Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9117092Z             }
2022-11-23T01:32:29.9117162Z             
2022-11-23T01:32:29.9117231Z  - 
2022-11-23T01:32:29.9117360Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9117429Z             {
2022-11-23T01:32:29.9117576Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9117688Z                 'code': None,
2022-11-23T01:32:29.9117895Z                 'obj_weakref': <weakref at 0x7f2060185a30; to 'Tensor' at 0x7f2060734220>
2022-11-23T01:32:29.9118138Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9118201Z             }
2022-11-23T01:32:29.9118273Z             
2022-11-23T01:32:29.9118350Z  - 
2022-11-23T01:32:29.9118486Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9118557Z             {
2022-11-23T01:32:29.9118697Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9118878Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9118995Z                 'obj_weakref': None
2022-11-23T01:32:29.9119227Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9119298Z             }
2022-11-23T01:32:29.9119367Z             
2022-11-23T01:32:29.9119443Z  - 
2022-11-23T01:32:29.9119570Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9119639Z             {
2022-11-23T01:32:29.9119773Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9119993Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9120120Z                 'obj_weakref': None
2022-11-23T01:32:29.9120344Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9120413Z             }
2022-11-23T01:32:29.9120485Z             
2022-11-23T01:32:29.9120562Z  - 
2022-11-23T01:32:29.9120692Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.9120761Z             {
2022-11-23T01:32:29.9120885Z                 'guard_types': None,
2022-11-23T01:32:29.9120997Z                 'code': None,
2022-11-23T01:32:29.9121120Z                 'obj_weakref': None
2022-11-23T01:32:29.9121249Z                 'guarded_class': None
2022-11-23T01:32:29.9121320Z             }
2022-11-23T01:32:29.9121382Z             
2022-11-23T01:32:29.9121644Z [2022-11-23 01:24:12,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105
2022-11-23T01:32:29.9122039Z [2022-11-23 01:24:14,336] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg77khpl5tchfwcjog6n6jhdkjbd6stqx3gudc57ajjxfs5yovkr.py
2022-11-23T01:32:29.9122307Z [2022-11-23 01:24:14,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105
2022-11-23T01:32:29.9122545Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9122883Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9123103Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9123360Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9123635Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9123946Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9124285Z [2022-11-23 01:24:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9124605Z [2022-11-23 01:24:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9124975Z [2022-11-23 01:24:14,341] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:29.9125079Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9125182Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:29.9125282Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9125381Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9125481Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9125570Z               10 BUILD_LIST               2
2022-11-23T01:32:29.9125666Z               12 CALL_METHOD              2
2022-11-23T01:32:29.9125751Z               14 RETURN_VALUE
2022-11-23T01:32:29.9125820Z  
2022-11-23T01:32:29.9125826Z 
2022-11-23T01:32:29.9126140Z [2022-11-23 01:24:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:29.9126357Z [2022-11-23 01:24:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9126658Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9126911Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:29.9127186Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:29.9127491Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9127831Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9128139Z [2022-11-23 01:24:14,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9128389Z [2022-11-23 01:24:14,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9128770Z [2022-11-23 01:24:14,348] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:29.9129088Z [2022-11-23 01:24:14,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9129329Z [2022-11-23 01:24:14,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9129614Z [2022-11-23 01:24:14,349] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9129864Z [2022-11-23 01:24:14,352] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9130048Z [2022-11-23 01:24:14,352] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9130190Z  __compiled_fn_107 <eval_with_key>.676 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9130288Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9130382Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9130473Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9130600Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:29.9130706Z output, output, output, ((index,),), {}
2022-11-23T01:32:29.9130711Z 
2022-11-23T01:32:29.9131038Z [2022-11-23 01:24:14,352] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9131136Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9131235Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9131331Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9131431Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9131525Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9131621Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9131702Z              12 RETURN_VALUE
2022-11-23T01:32:29.9131708Z 
2022-11-23T01:32:29.9131767Z  
2022-11-23T01:32:29.9132094Z [2022-11-23 01:24:14,352] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9132214Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_107)
2022-11-23T01:32:29.9132310Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9132407Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9132494Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9132591Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9132687Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9132762Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9132857Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9132951Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9133037Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9133134Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9133230Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9133313Z              24 RETURN_VALUE
2022-11-23T01:32:29.9133318Z 
2022-11-23T01:32:29.9133378Z  
2022-11-23T01:32:29.9133570Z [2022-11-23 01:24:14,353] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9133647Z  - 
2022-11-23T01:32:29.9133772Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9133845Z             {
2022-11-23T01:32:29.9133990Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9134185Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9134302Z                 'obj_weakref': None
2022-11-23T01:32:29.9134525Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9134594Z             }
2022-11-23T01:32:29.9134664Z             
2022-11-23T01:32:29.9134740Z  - 
2022-11-23T01:32:29.9134869Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9134939Z             {
2022-11-23T01:32:29.9135080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9135192Z                 'code': None,
2022-11-23T01:32:29.9135400Z                 'obj_weakref': <weakref at 0x7f20728468e0; to 'Tensor' at 0x7f2023388810>
2022-11-23T01:32:29.9135678Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9135749Z             }
2022-11-23T01:32:29.9135841Z             
2022-11-23T01:32:29.9135918Z  - 
2022-11-23T01:32:29.9136039Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9136109Z             {
2022-11-23T01:32:29.9136256Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9136368Z                 'code': None,
2022-11-23T01:32:29.9136573Z                 'obj_weakref': <weakref at 0x7f2072845210; to 'Tensor' at 0x7f20727a5710>
2022-11-23T01:32:29.9136816Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9136887Z             }
2022-11-23T01:32:29.9136948Z             
2022-11-23T01:32:29.9137023Z  - 
2022-11-23T01:32:29.9137150Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9137220Z             {
2022-11-23T01:32:29.9137370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9137482Z                 'code': None,
2022-11-23T01:32:29.9137684Z                 'obj_weakref': <weakref at 0x7f2060736070; to 'Tensor' at 0x7f2115a8b6f0>
2022-11-23T01:32:29.9137923Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9137991Z             }
2022-11-23T01:32:29.9138059Z             
2022-11-23T01:32:29.9138135Z  - 
2022-11-23T01:32:29.9138270Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9138337Z             {
2022-11-23T01:32:29.9138476Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9138646Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9138772Z                 'obj_weakref': None
2022-11-23T01:32:29.9139221Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9139292Z             }
2022-11-23T01:32:29.9139364Z             
2022-11-23T01:32:29.9139440Z  - 
2022-11-23T01:32:29.9139565Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9139627Z             {
2022-11-23T01:32:29.9139773Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9139998Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9140123Z                 'obj_weakref': None
2022-11-23T01:32:29.9140351Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9140421Z             }
2022-11-23T01:32:29.9140490Z             
2022-11-23T01:32:29.9140559Z  - 
2022-11-23T01:32:29.9140695Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.9140765Z             {
2022-11-23T01:32:29.9140892Z                 'guard_types': None,
2022-11-23T01:32:29.9141005Z                 'code': None,
2022-11-23T01:32:29.9141131Z                 'obj_weakref': None
2022-11-23T01:32:29.9141261Z                 'guarded_class': None
2022-11-23T01:32:29.9141324Z             }
2022-11-23T01:32:29.9141394Z             
2022-11-23T01:32:29.9141657Z [2022-11-23 01:24:14,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106
2022-11-23T01:32:29.9142020Z [2022-11-23 01:24:15,945] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dx/cdxx5bhg7ehpe3uss32ph5znl2rksj6aevtff5h2mdzcjwbkq7gv.py
2022-11-23T01:32:29.9142284Z [2022-11-23 01:24:15,945] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106
2022-11-23T01:32:29.9142290Z 
2022-11-23T01:32:29.9142390Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9142466Z import torch
2022-11-23T01:32:29.9142542Z import random
2022-11-23T01:32:29.9142658Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9142786Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9142791Z 
2022-11-23T01:32:29.9142875Z aten = torch.ops.aten
2022-11-23T01:32:29.9143078Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9143183Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9143188Z 
2022-11-23T01:32:29.9143292Z import triton
2022-11-23T01:32:29.9143388Z import triton.language as tl
2022-11-23T01:32:29.9143510Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9143654Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9143659Z 
2022-11-23T01:32:29.9143664Z 
2022-11-23T01:32:29.9143804Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9144015Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9144141Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9144253Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9144366Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9144475Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9144536Z {
2022-11-23T01:32:29.9144642Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9144709Z     {
2022-11-23T01:32:29.9144806Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9144900Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9144969Z         {
2022-11-23T01:32:29.9145062Z             for(long i1=0; i1<12; i1+=1)
2022-11-23T01:32:29.9145124Z             {
2022-11-23T01:32:29.9145197Z                 {
2022-11-23T01:32:29.9145270Z                     {
2022-11-23T01:32:29.9145373Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9145475Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.9145596Z                         auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:32:29.9145701Z                         out_ptr0[i1 + (12*i0)] = tmp2;
2022-11-23T01:32:29.9145768Z                     }
2022-11-23T01:32:29.9145840Z                 }
2022-11-23T01:32:29.9145911Z             }
2022-11-23T01:32:29.9145987Z         }
2022-11-23T01:32:29.9146054Z     }
2022-11-23T01:32:29.9146122Z }
2022-11-23T01:32:29.9146201Z ''')
2022-11-23T01:32:29.9146212Z 
2022-11-23T01:32:29.9146216Z 
2022-11-23T01:32:29.9146309Z async_compile.wait(globals())
2022-11-23T01:32:29.9146387Z del async_compile
2022-11-23T01:32:29.9146393Z 
2022-11-23T01:32:29.9146468Z def call(args):
2022-11-23T01:32:29.9146559Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9146639Z     args.clear()
2022-11-23T01:32:29.9146842Z     buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9147039Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9147107Z     del arg0_1
2022-11-23T01:32:29.9147181Z     del arg1_1
2022-11-23T01:32:29.9147254Z     del arg2_1
2022-11-23T01:32:29.9147332Z     return (buf0, )
2022-11-23T01:32:29.9147337Z 
2022-11-23T01:32:29.9147342Z 
2022-11-23T01:32:29.9147429Z if __name__ == "__main__":
2022-11-23T01:32:29.9147550Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9147681Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9147897Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9148082Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9148273Z     arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9148402Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9148407Z 
2022-11-23T01:32:29.9148412Z 
2022-11-23T01:32:29.9148512Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9148587Z import torch
2022-11-23T01:32:29.9148663Z import random
2022-11-23T01:32:29.9148783Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9148908Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9148914Z 
2022-11-23T01:32:29.9149021Z aten = torch.ops.aten
2022-11-23T01:32:29.9149165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9149262Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9149291Z 
2022-11-23T01:32:29.9149366Z import triton
2022-11-23T01:32:29.9149460Z import triton.language as tl
2022-11-23T01:32:29.9149587Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9149728Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9149733Z 
2022-11-23T01:32:29.9149738Z 
2022-11-23T01:32:29.9149877Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9150079Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9150204Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9150425Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9150560Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9150666Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9150731Z {
2022-11-23T01:32:29.9150836Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9150896Z     {
2022-11-23T01:32:29.9150998Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9151086Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9151154Z         {
2022-11-23T01:32:29.9151245Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9151315Z             {
2022-11-23T01:32:29.9151402Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9151493Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:29.9151564Z                 {
2022-11-23T01:32:29.9151636Z                     {
2022-11-23T01:32:29.9151710Z                         {
2022-11-23T01:32:29.9151813Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9151914Z                             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.9152042Z                             auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:32:29.9152148Z                             out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2;
2022-11-23T01:32:29.9152223Z                         }
2022-11-23T01:32:29.9152293Z                     }
2022-11-23T01:32:29.9152366Z                 }
2022-11-23T01:32:29.9152435Z             }
2022-11-23T01:32:29.9152503Z         }
2022-11-23T01:32:29.9152570Z     }
2022-11-23T01:32:29.9152629Z }
2022-11-23T01:32:29.9152717Z ''')
2022-11-23T01:32:29.9152722Z 
2022-11-23T01:32:29.9152727Z 
2022-11-23T01:32:29.9152822Z async_compile.wait(globals())
2022-11-23T01:32:29.9152900Z del async_compile
2022-11-23T01:32:29.9152905Z 
2022-11-23T01:32:29.9152981Z def call(args):
2022-11-23T01:32:29.9153069Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9153146Z     args.clear()
2022-11-23T01:32:29.9153349Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9153540Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9153613Z     del arg0_1
2022-11-23T01:32:29.9153687Z     del arg1_1
2022-11-23T01:32:29.9153758Z     del arg2_1
2022-11-23T01:32:29.9153837Z     return (buf0, )
2022-11-23T01:32:29.9153843Z 
2022-11-23T01:32:29.9153847Z 
2022-11-23T01:32:29.9153929Z if __name__ == "__main__":
2022-11-23T01:32:29.9154049Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9154171Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9154378Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9154570Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9154762Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9154889Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9154895Z 
2022-11-23T01:32:29.9154969Z ok (3.183s)
2022-11-23T01:32:29.9155307Z   test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:15,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9155625Z [2022-11-23 01:24:15,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9155860Z [2022-11-23 01:24:15,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9156114Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9156388Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9156706Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9157048Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9157366Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9157742Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833> 
2022-11-23T01:32:29.9157845Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9157947Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:29.9158046Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9158135Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9158230Z                8 BUILD_LIST               1
2022-11-23T01:32:29.9158324Z               10 CALL_METHOD              2
2022-11-23T01:32:29.9158329Z 
2022-11-23T01:32:29.9158434Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9158535Z               14 LOAD_METHOD              1 (index)
2022-11-23T01:32:29.9158630Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9158732Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9158820Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9158914Z               22 BUILD_LIST               2
2022-11-23T01:32:29.9159006Z               24 CALL_METHOD              2
2022-11-23T01:32:29.9159011Z 
2022-11-23T01:32:29.9159104Z 2834          26 BUILD_TUPLE              2
2022-11-23T01:32:29.9159187Z               28 RETURN_VALUE
2022-11-23T01:32:29.9159254Z  
2022-11-23T01:32:29.9159259Z 
2022-11-23T01:32:29.9159581Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835
2022-11-23T01:32:29.9159806Z [2022-11-23 01:24:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9160107Z [2022-11-23 01:24:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9160365Z [2022-11-23 01:24:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:29.9160643Z [2022-11-23 01:24:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:29.9160952Z [2022-11-23 01:24:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9161265Z [2022-11-23 01:24:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9161580Z [2022-11-23 01:24:15,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836
2022-11-23T01:32:29.9161861Z [2022-11-23 01:24:15,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:29.9162199Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9162501Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T01:32:29.9162812Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:29.9163165Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9163545Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9163880Z [2022-11-23 01:24:15,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9164195Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834
2022-11-23T01:32:29.9164465Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9164713Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9165089Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833>
2022-11-23T01:32:29.9165336Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9165577Z [2022-11-23 01:24:15,964] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9165835Z [2022-11-23 01:24:15,965] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9166085Z [2022-11-23 01:24:15,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9166280Z [2022-11-23 01:24:15,968] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9166412Z  __compiled_fn_108 <eval_with_key>.682 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9166508Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9166601Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9166723Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:29.9166853Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T01:32:29.9166969Z output, output, output, ((index, index_1),), {}
2022-11-23T01:32:29.9166975Z 
2022-11-23T01:32:29.9167300Z [2022-11-23 01:24:15,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9167405Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9167494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9167590Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9167689Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9167781Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9167875Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9167958Z              12 RETURN_VALUE
2022-11-23T01:32:29.9167964Z 
2022-11-23T01:32:29.9168030Z  
2022-11-23T01:32:29.9168374Z [2022-11-23 01:24:15,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9168490Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_108)
2022-11-23T01:32:29.9168586Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9168711Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9168795Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9168890Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9168983Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9169057Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9169152Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.9169266Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9169376Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9169472Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9169553Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9169660Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9169756Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9169830Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9169925Z              30 BUILD_TUPLE              2
2022-11-23T01:32:29.9170013Z              32 RETURN_VALUE
2022-11-23T01:32:29.9170018Z 
2022-11-23T01:32:29.9170086Z  
2022-11-23T01:32:29.9170277Z [2022-11-23 01:24:15,969] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9170353Z  - 
2022-11-23T01:32:29.9170479Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9170542Z             {
2022-11-23T01:32:29.9170688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9170879Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.9171004Z                 'obj_weakref': None
2022-11-23T01:32:29.9171230Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9171300Z             }
2022-11-23T01:32:29.9171368Z             
2022-11-23T01:32:29.9171440Z  - 
2022-11-23T01:32:29.9171569Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9171638Z             {
2022-11-23T01:32:29.9171785Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9171904Z                 'code': None,
2022-11-23T01:32:29.9172117Z                 'obj_weakref': <weakref at 0x7f20601547c0; to 'Tensor' at 0x7f20727a5710>
2022-11-23T01:32:29.9172369Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9172432Z             }
2022-11-23T01:32:29.9172501Z             
2022-11-23T01:32:29.9172576Z  - 
2022-11-23T01:32:29.9172704Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9172774Z             {
2022-11-23T01:32:29.9172921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9173034Z                 'code': None,
2022-11-23T01:32:29.9173235Z                 'obj_weakref': <weakref at 0x7f2072847d80; to 'Tensor' at 0x7f206013bec0>
2022-11-23T01:32:29.9173482Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9173552Z             }
2022-11-23T01:32:29.9173621Z             
2022-11-23T01:32:29.9173697Z  - 
2022-11-23T01:32:29.9173831Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9173900Z             {
2022-11-23T01:32:29.9174034Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9174212Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9174338Z                 'obj_weakref': None
2022-11-23T01:32:29.9174568Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9174637Z             }
2022-11-23T01:32:29.9174706Z             
2022-11-23T01:32:29.9174783Z  - 
2022-11-23T01:32:29.9174902Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9174971Z             {
2022-11-23T01:32:29.9175144Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9175366Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9175493Z                 'obj_weakref': None
2022-11-23T01:32:29.9175746Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9175815Z             }
2022-11-23T01:32:29.9175877Z             
2022-11-23T01:32:29.9175952Z  - 
2022-11-23T01:32:29.9176088Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.9176157Z             {
2022-11-23T01:32:29.9176282Z                 'guard_types': None,
2022-11-23T01:32:29.9176394Z                 'code': None,
2022-11-23T01:32:29.9176525Z                 'obj_weakref': None
2022-11-23T01:32:29.9176644Z                 'guarded_class': None
2022-11-23T01:32:29.9176712Z             }
2022-11-23T01:32:29.9176780Z             
2022-11-23T01:32:29.9177048Z [2022-11-23 01:24:15,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107
2022-11-23T01:32:29.9177414Z [2022-11-23 01:24:17,597] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oz/cozarkb3x4y2p7yaenbwgaxa2eh2s2ijnueaxmn4xixjucd4v52i.py
2022-11-23T01:32:29.9177686Z [2022-11-23 01:24:17,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107
2022-11-23T01:32:29.9177692Z 
2022-11-23T01:32:29.9177791Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9177858Z import torch
2022-11-23T01:32:29.9177934Z import random
2022-11-23T01:32:29.9178054Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9178181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9178187Z 
2022-11-23T01:32:29.9178271Z aten = torch.ops.aten
2022-11-23T01:32:29.9178414Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9178512Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9178518Z 
2022-11-23T01:32:29.9178594Z import triton
2022-11-23T01:32:29.9178683Z import triton.language as tl
2022-11-23T01:32:29.9178999Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9179144Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9179154Z 
2022-11-23T01:32:29.9179158Z 
2022-11-23T01:32:29.9179300Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9179509Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9179637Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9179749Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9179856Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9179953Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:29.9180019Z {
2022-11-23T01:32:29.9180122Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9180190Z     {
2022-11-23T01:32:29.9180284Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9180375Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9180442Z         {
2022-11-23T01:32:29.9180526Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.9180593Z             {
2022-11-23T01:32:29.9180666Z                 {
2022-11-23T01:32:29.9180739Z                     {
2022-11-23T01:32:29.9180841Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9180953Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:29.9181056Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:29.9181120Z                     }
2022-11-23T01:32:29.9181191Z                 }
2022-11-23T01:32:29.9181260Z             }
2022-11-23T01:32:29.9181329Z         }
2022-11-23T01:32:29.9181413Z         #pragma omp for 
2022-11-23T01:32:29.9181500Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9181561Z         {
2022-11-23T01:32:29.9181647Z             #pragma GCC ivdep
2022-11-23T01:32:29.9181735Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9181853Z             {
2022-11-23T01:32:29.9181947Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9182042Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:29.9182112Z                 {
2022-11-23T01:32:29.9182209Z                     {
2022-11-23T01:32:29.9182284Z                         {
2022-11-23T01:32:29.9182387Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9182508Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:29.9182618Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:29.9182693Z                         }
2022-11-23T01:32:29.9182767Z                     }
2022-11-23T01:32:29.9182829Z                 }
2022-11-23T01:32:29.9182897Z             }
2022-11-23T01:32:29.9182964Z         }
2022-11-23T01:32:29.9183030Z     }
2022-11-23T01:32:29.9183096Z }
2022-11-23T01:32:29.9183183Z ''')
2022-11-23T01:32:29.9183189Z 
2022-11-23T01:32:29.9183193Z 
2022-11-23T01:32:29.9183290Z async_compile.wait(globals())
2022-11-23T01:32:29.9183361Z del async_compile
2022-11-23T01:32:29.9183366Z 
2022-11-23T01:32:29.9183440Z def call(args):
2022-11-23T01:32:29.9183520Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.9183600Z     args.clear()
2022-11-23T01:32:29.9183819Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9184030Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9184226Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.9184297Z     del arg0_1
2022-11-23T01:32:29.9184363Z     del arg1_1
2022-11-23T01:32:29.9184446Z     return (buf0, buf1, )
2022-11-23T01:32:29.9184451Z 
2022-11-23T01:32:29.9184456Z 
2022-11-23T01:32:29.9184535Z if __name__ == "__main__":
2022-11-23T01:32:29.9184654Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9184786Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9184993Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9185186Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9185303Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.9185315Z 
2022-11-23T01:32:29.9185380Z ok (1.652s)
2022-11-23T01:32:29.9185687Z   test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9186000Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9186220Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9186475Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9186753Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9187068Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9187411Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9187729Z [2022-11-23 01:24:17,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9188086Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:29.9188233Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9188341Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:29.9188437Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9188532Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9188650Z                8 BUILD_LIST               1
2022-11-23T01:32:29.9188743Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9188835Z               12 CALL_METHOD              3
2022-11-23T01:32:29.9188841Z 
2022-11-23T01:32:29.9188933Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9189041Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:29.9189137Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9189231Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9189309Z               22 BINARY_ADD
2022-11-23T01:32:29.9189402Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9189499Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9189570Z               28 BINARY_ADD
2022-11-23T01:32:29.9189662Z               30 BUILD_LIST               1
2022-11-23T01:32:29.9189759Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9189859Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9189936Z               36 BINARY_ADD
2022-11-23T01:32:29.9190034Z               38 CALL_METHOD              3
2022-11-23T01:32:29.9190126Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9190196Z               42 BINARY_ADD
2022-11-23T01:32:29.9190208Z 
2022-11-23T01:32:29.9190363Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:29.9190460Z               46 RETURN_VALUE
2022-11-23T01:32:29.9190525Z  
2022-11-23T01:32:29.9190530Z 
2022-11-23T01:32:29.9190849Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:29.9191072Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9191437Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9191765Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9192110Z [2022-11-23 01:24:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9192479Z [2022-11-23 01:24:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9192846Z [2022-11-23 01:24:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9193238Z [2022-11-23 01:24:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9193552Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:29.9193802Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.9194191Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9194569Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9194944Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9195384Z [2022-11-23 01:24:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9195754Z [2022-11-23 01:24:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9196155Z [2022-11-23 01:24:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9196594Z [2022-11-23 01:24:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9196991Z [2022-11-23 01:24:17,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9197383Z [2022-11-23 01:24:17,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9197806Z [2022-11-23 01:24:17,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9198268Z [2022-11-23 01:24:17,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9198700Z [2022-11-23 01:24:17,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9198962Z [2022-11-23 01:24:17,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9199258Z [2022-11-23 01:24:17,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9199572Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:29.9199839Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9200088Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9200458Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:29.9200700Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9200934Z [2022-11-23 01:24:17,758] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9201190Z [2022-11-23 01:24:17,762] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9201462Z [2022-11-23 01:24:17,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9201656Z [2022-11-23 01:24:17,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9201811Z  __compiled_fn_109 <eval_with_key>.688 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9201904Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9201996Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9202086Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9202347Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:29.9202523Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9202699Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.9202867Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:29.9203127Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:29.9203316Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:29.9203431Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:29.9203440Z 
2022-11-23T01:32:29.9203768Z [2022-11-23 01:24:17,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9203869Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9203966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9204060Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9204151Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9204243Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9204337Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9204420Z              12 RETURN_VALUE
2022-11-23T01:32:29.9204426Z 
2022-11-23T01:32:29.9204492Z  
2022-11-23T01:32:29.9204818Z [2022-11-23 01:24:17,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9204935Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_109)
2022-11-23T01:32:29.9205036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9205125Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9205210Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9205310Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9205404Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9205486Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9205581Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9205674Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9205747Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9205842Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9205956Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9206065Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9206160Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9206246Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9206356Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9206444Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9206526Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9206620Z              36 BUILD_TUPLE              2
2022-11-23T01:32:29.9206703Z              38 RETURN_VALUE
2022-11-23T01:32:29.9206708Z 
2022-11-23T01:32:29.9206775Z  
2022-11-23T01:32:29.9206962Z [2022-11-23 01:24:17,769] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9207038Z  - 
2022-11-23T01:32:29.9207164Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9207227Z             {
2022-11-23T01:32:29.9207371Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9207589Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9207715Z                 'obj_weakref': None
2022-11-23T01:32:29.9207939Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9208032Z             }
2022-11-23T01:32:29.9208099Z             
2022-11-23T01:32:29.9208168Z  - 
2022-11-23T01:32:29.9208295Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9208364Z             {
2022-11-23T01:32:29.9208515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9208629Z                 'code': None,
2022-11-23T01:32:29.9208837Z                 'obj_weakref': <weakref at 0x7f2072846700; to 'Tensor' at 0x7f206013bec0>
2022-11-23T01:32:29.9209087Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9209149Z             }
2022-11-23T01:32:29.9209218Z             
2022-11-23T01:32:29.9209292Z  - 
2022-11-23T01:32:29.9209423Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9209493Z             {
2022-11-23T01:32:29.9209642Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9209750Z                 'code': None,
2022-11-23T01:32:29.9209956Z                 'obj_weakref': <weakref at 0x7f206070fec0; to 'Tensor' at 0x7f2151eec680>
2022-11-23T01:32:29.9210197Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9210268Z             }
2022-11-23T01:32:29.9210337Z             
2022-11-23T01:32:29.9210412Z  - 
2022-11-23T01:32:29.9210542Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9210610Z             {
2022-11-23T01:32:29.9210748Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9210859Z                 'code': None,
2022-11-23T01:32:29.9211061Z                 'obj_weakref': <weakref at 0x7f206070c7c0; to 'Tensor' at 0x7f2151eec6d0>
2022-11-23T01:32:29.9211303Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9211374Z             }
2022-11-23T01:32:29.9211444Z             
2022-11-23T01:32:29.9211524Z  - 
2022-11-23T01:32:29.9211651Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9211720Z             {
2022-11-23T01:32:29.9211860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9212035Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9212161Z                 'obj_weakref': None
2022-11-23T01:32:29.9212388Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9212456Z             }
2022-11-23T01:32:29.9212517Z             
2022-11-23T01:32:29.9212597Z  - 
2022-11-23T01:32:29.9212722Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9212792Z             {
2022-11-23T01:32:29.9212932Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9213154Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9213277Z                 'obj_weakref': None
2022-11-23T01:32:29.9213493Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9213563Z             }
2022-11-23T01:32:29.9213632Z             
2022-11-23T01:32:29.9213708Z  - 
2022-11-23T01:32:29.9213847Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9213917Z             {
2022-11-23T01:32:29.9214033Z                 'guard_types': None,
2022-11-23T01:32:29.9214144Z                 'code': None,
2022-11-23T01:32:29.9214266Z                 'obj_weakref': None
2022-11-23T01:32:29.9214392Z                 'guarded_class': None
2022-11-23T01:32:29.9214460Z             }
2022-11-23T01:32:29.9214529Z             
2022-11-23T01:32:29.9214791Z [2022-11-23 01:24:17,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108
2022-11-23T01:32:29.9215191Z [2022-11-23 01:24:19,367] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/er/cerxyrdocyl4cgrfuylsh2tuw3spikonbrjw5zi6ni4g5sui7xzx.py
2022-11-23T01:32:29.9215468Z [2022-11-23 01:24:19,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108
2022-11-23T01:32:29.9215708Z [2022-11-23 01:24:19,605] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9216016Z [2022-11-23 01:24:19,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9216238Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9216491Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9216769Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9217083Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9217426Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9217744Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9218113Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:29.9218211Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9224845Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:29.9224960Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9225059Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9225154Z                8 BUILD_LIST               1
2022-11-23T01:32:29.9225253Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9225350Z               12 CALL_METHOD              3
2022-11-23T01:32:29.9225356Z 
2022-11-23T01:32:29.9225463Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9225566Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:29.9225663Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9225759Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9225842Z               22 BINARY_ADD
2022-11-23T01:32:29.9225938Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9226031Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9226111Z               28 BINARY_ADD
2022-11-23T01:32:29.9226201Z               30 BUILD_LIST               1
2022-11-23T01:32:29.9226296Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9226391Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9226471Z               36 BINARY_ADD
2022-11-23T01:32:29.9226569Z               38 CALL_METHOD              3
2022-11-23T01:32:29.9226664Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9226743Z               42 BINARY_ADD
2022-11-23T01:32:29.9226749Z 
2022-11-23T01:32:29.9226838Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:29.9226923Z               46 RETURN_VALUE
2022-11-23T01:32:29.9226991Z  
2022-11-23T01:32:29.9226997Z 
2022-11-23T01:32:29.9227340Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:29.9227562Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9228005Z [2022-11-23 01:24:19,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9228338Z [2022-11-23 01:24:19,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9228717Z [2022-11-23 01:24:19,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9229090Z [2022-11-23 01:24:19,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9229463Z [2022-11-23 01:24:19,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9229864Z [2022-11-23 01:24:19,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9230171Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:29.9230517Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.9230937Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9231294Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9231718Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9232142Z [2022-11-23 01:24:19,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9232518Z [2022-11-23 01:24:19,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9232924Z [2022-11-23 01:24:19,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9233371Z [2022-11-23 01:24:19,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9233763Z [2022-11-23 01:24:19,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9234161Z [2022-11-23 01:24:19,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9234578Z [2022-11-23 01:24:19,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9235068Z [2022-11-23 01:24:19,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9235567Z [2022-11-23 01:24:19,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9235832Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9236129Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9236438Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:29.9236705Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9236953Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9237330Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:29.9237575Z [2022-11-23 01:24:19,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9237809Z [2022-11-23 01:24:19,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9238064Z [2022-11-23 01:24:19,614] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9238313Z [2022-11-23 01:24:19,618] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9238507Z [2022-11-23 01:24:19,619] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9238637Z  __compiled_fn_110 <eval_with_key>.694 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9238738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9238831Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9238923Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9239183Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:29.9239361Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9239537Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.9239712Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:29.9239966Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:29.9240155Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:29.9240273Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:29.9240279Z 
2022-11-23T01:32:29.9240600Z [2022-11-23 01:24:19,619] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9240706Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9240808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9240903Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9241004Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9241089Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9241185Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9241266Z              12 RETURN_VALUE
2022-11-23T01:32:29.9241272Z 
2022-11-23T01:32:29.9241338Z  
2022-11-23T01:32:29.9241709Z [2022-11-23 01:24:19,619] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9241828Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_110)
2022-11-23T01:32:29.9241928Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9242048Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9242124Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9242220Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9242316Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9242396Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9242492Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9242588Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9242671Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9242758Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9242870Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9242981Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9243080Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9243162Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9243270Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9243373Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9243447Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9243542Z              36 BUILD_TUPLE              2
2022-11-23T01:32:29.9243626Z              38 RETURN_VALUE
2022-11-23T01:32:29.9243631Z 
2022-11-23T01:32:29.9243700Z  
2022-11-23T01:32:29.9243888Z [2022-11-23 01:24:19,620] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9243966Z  - 
2022-11-23T01:32:29.9244092Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9244156Z             {
2022-11-23T01:32:29.9244302Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9244495Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9244622Z                 'obj_weakref': None
2022-11-23T01:32:29.9244847Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9244917Z             }
2022-11-23T01:32:29.9244992Z             
2022-11-23T01:32:29.9245062Z  - 
2022-11-23T01:32:29.9245191Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9245259Z             {
2022-11-23T01:32:29.9245408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9245520Z                 'code': None,
2022-11-23T01:32:29.9245732Z                 'obj_weakref': <weakref at 0x7f20680b0f40; to 'Tensor' at 0x7f20728449a0>
2022-11-23T01:32:29.9245985Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9246047Z             }
2022-11-23T01:32:29.9246117Z             
2022-11-23T01:32:29.9246193Z  - 
2022-11-23T01:32:29.9246321Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9246390Z             {
2022-11-23T01:32:29.9246541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9246652Z                 'code': None,
2022-11-23T01:32:29.9246849Z                 'obj_weakref': <weakref at 0x7f207277db20; to 'Tensor' at 0x7f2072845080>
2022-11-23T01:32:29.9247094Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9247165Z             }
2022-11-23T01:32:29.9247235Z             
2022-11-23T01:32:29.9247310Z  - 
2022-11-23T01:32:29.9247437Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9247505Z             {
2022-11-23T01:32:29.9247643Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9247755Z                 'code': None,
2022-11-23T01:32:29.9247957Z                 'obj_weakref': <weakref at 0x7f207277c360; to 'Tensor' at 0x7f2115a885e0>
2022-11-23T01:32:29.9248200Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9248300Z             }
2022-11-23T01:32:29.9248371Z             
2022-11-23T01:32:29.9248447Z  - 
2022-11-23T01:32:29.9248574Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9248644Z             {
2022-11-23T01:32:29.9248808Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9248985Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9249110Z                 'obj_weakref': None
2022-11-23T01:32:29.9249341Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9249412Z             }
2022-11-23T01:32:29.9249473Z             
2022-11-23T01:32:29.9249550Z  - 
2022-11-23T01:32:29.9249675Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9249748Z             {
2022-11-23T01:32:29.9249889Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9250110Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9250241Z                 'obj_weakref': None
2022-11-23T01:32:29.9250455Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9250530Z             }
2022-11-23T01:32:29.9250600Z             
2022-11-23T01:32:29.9250675Z  - 
2022-11-23T01:32:29.9250812Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9250883Z             {
2022-11-23T01:32:29.9251008Z                 'guard_types': None,
2022-11-23T01:32:29.9251112Z                 'code': None,
2022-11-23T01:32:29.9251234Z                 'obj_weakref': None
2022-11-23T01:32:29.9251360Z                 'guarded_class': None
2022-11-23T01:32:29.9251429Z             }
2022-11-23T01:32:29.9251498Z             
2022-11-23T01:32:29.9251761Z [2022-11-23 01:24:19,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109
2022-11-23T01:32:29.9252122Z [2022-11-23 01:24:21,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5w/c5wska45y2eqbjqmni3uey7vvcb4o2puwvr3po25u4h65sobhyse.py
2022-11-23T01:32:29.9252380Z [2022-11-23 01:24:21,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109
2022-11-23T01:32:29.9252396Z 
2022-11-23T01:32:29.9252489Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9252564Z import torch
2022-11-23T01:32:29.9252641Z import random
2022-11-23T01:32:29.9252764Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9252891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9252896Z 
2022-11-23T01:32:29.9252982Z aten = torch.ops.aten
2022-11-23T01:32:29.9253122Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9253213Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9253218Z 
2022-11-23T01:32:29.9253293Z import triton
2022-11-23T01:32:29.9253391Z import triton.language as tl
2022-11-23T01:32:29.9253519Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9253665Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9253671Z 
2022-11-23T01:32:29.9253675Z 
2022-11-23T01:32:29.9253818Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9254035Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9254161Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9254265Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9254376Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9254483Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9254589Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9254693Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9254765Z {
2022-11-23T01:32:29.9254871Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9254932Z     {
2022-11-23T01:32:29.9255016Z         #pragma omp for 
2022-11-23T01:32:29.9255141Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T01:32:29.9255214Z         {
2022-11-23T01:32:29.9255364Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9255529Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9255623Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9255723Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9255814Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9255882Z         }
2022-11-23T01:32:29.9255983Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9256083Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:32:29.9256152Z         {
2022-11-23T01:32:29.9256242Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9256340Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9256432Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9256520Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9256606Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.9256676Z         }
2022-11-23T01:32:29.9256758Z         #pragma omp for 
2022-11-23T01:32:29.9256847Z         for(long i0=0; i0<601; i0+=1)
2022-11-23T01:32:29.9256912Z         {
2022-11-23T01:32:29.9256997Z             #pragma GCC ivdep
2022-11-23T01:32:29.9257094Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:32:29.9257166Z             {
2022-11-23T01:32:29.9257238Z                 {
2022-11-23T01:32:29.9257310Z                     {
2022-11-23T01:32:29.9257413Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.9257519Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:32:29.9257632Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:32:29.9257732Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.9257847Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:29.9257945Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:32:29.9258058Z                         out_ptr0[i1 + (12544*tmp0)] = tmp1;
2022-11-23T01:32:29.9258167Z                         out_ptr1[i1 + (12544*tmp3)] = tmp5;
2022-11-23T01:32:29.9258232Z                     }
2022-11-23T01:32:29.9258306Z                 }
2022-11-23T01:32:29.9258377Z             }
2022-11-23T01:32:29.9258449Z         }
2022-11-23T01:32:29.9258533Z         #pragma omp for 
2022-11-23T01:32:29.9258627Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T01:32:29.9258695Z         {
2022-11-23T01:32:29.9259115Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9259260Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9259354Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9259452Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9259522Z         }
2022-11-23T01:32:29.9259625Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9259726Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:32:29.9259789Z         {
2022-11-23T01:32:29.9259881Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:29.9259987Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9260079Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9260166Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:29.9260235Z         }
2022-11-23T01:32:29.9260302Z     }
2022-11-23T01:32:29.9260361Z }
2022-11-23T01:32:29.9260455Z ''')
2022-11-23T01:32:29.9260461Z 
2022-11-23T01:32:29.9260465Z 
2022-11-23T01:32:29.9260561Z async_compile.wait(globals())
2022-11-23T01:32:29.9260641Z del async_compile
2022-11-23T01:32:29.9260646Z 
2022-11-23T01:32:29.9260722Z def call(args):
2022-11-23T01:32:29.9260810Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9260887Z     args.clear()
2022-11-23T01:32:29.9261112Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9261419Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9261671Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9261913Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.9262018Z     del arg0_1
2022-11-23T01:32:29.9262094Z     del arg1_1
2022-11-23T01:32:29.9262167Z     del arg2_1
2022-11-23T01:32:29.9262250Z     return (buf0, buf4, )
2022-11-23T01:32:29.9262255Z 
2022-11-23T01:32:29.9262260Z 
2022-11-23T01:32:29.9262343Z if __name__ == "__main__":
2022-11-23T01:32:29.9262458Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9262589Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9262814Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9263019Z     arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9263242Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9263381Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9263386Z 
2022-11-23T01:32:29.9263391Z 
2022-11-23T01:32:29.9263492Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9263569Z import torch
2022-11-23T01:32:29.9263638Z import random
2022-11-23T01:32:29.9263758Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9263884Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9263890Z 
2022-11-23T01:32:29.9263974Z aten = torch.ops.aten
2022-11-23T01:32:29.9264118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9264216Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9264221Z 
2022-11-23T01:32:29.9264298Z import triton
2022-11-23T01:32:29.9264385Z import triton.language as tl
2022-11-23T01:32:29.9264514Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9264657Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9264663Z 
2022-11-23T01:32:29.9264671Z 
2022-11-23T01:32:29.9264816Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9265025Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9265152Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9265266Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9265377Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9265474Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9265576Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9265682Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9265751Z {
2022-11-23T01:32:29.9265854Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9265925Z     {
2022-11-23T01:32:29.9266010Z         #pragma omp for 
2022-11-23T01:32:29.9266093Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.9266163Z         {
2022-11-23T01:32:29.9266312Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9266454Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9266546Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9266646Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9266743Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9266811Z         }
2022-11-23T01:32:29.9266905Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9267003Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:29.9267072Z         {
2022-11-23T01:32:29.9267163Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9267268Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9267387Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9267469Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9267558Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.9267626Z         }
2022-11-23T01:32:29.9267749Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9267840Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9267908Z         {
2022-11-23T01:32:29.9267998Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:29.9268061Z             {
2022-11-23T01:32:29.9268132Z                 {
2022-11-23T01:32:29.9268208Z                     {
2022-11-23T01:32:29.9268312Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.9268416Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:29.9268527Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:32:29.9268626Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.9268733Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:29.9268840Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:32:29.9268947Z                         out_ptr0[i1 + (8*tmp0)] = tmp1;
2022-11-23T01:32:29.9269053Z                         out_ptr1[i1 + (8*tmp3)] = tmp5;
2022-11-23T01:32:29.9269132Z                     }
2022-11-23T01:32:29.9269204Z                 }
2022-11-23T01:32:29.9269273Z             }
2022-11-23T01:32:29.9269335Z         }
2022-11-23T01:32:29.9269419Z         #pragma omp for 
2022-11-23T01:32:29.9269510Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.9269579Z         {
2022-11-23T01:32:29.9269721Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9269860Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:29.9269951Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9270040Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9270112Z         }
2022-11-23T01:32:29.9270213Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9270388Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:29.9270473Z         {
2022-11-23T01:32:29.9270582Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:29.9270686Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9270772Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9270857Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:29.9270925Z         }
2022-11-23T01:32:29.9270997Z     }
2022-11-23T01:32:29.9271064Z }
2022-11-23T01:32:29.9271154Z ''')
2022-11-23T01:32:29.9271159Z 
2022-11-23T01:32:29.9271164Z 
2022-11-23T01:32:29.9271258Z async_compile.wait(globals())
2022-11-23T01:32:29.9271328Z del async_compile
2022-11-23T01:32:29.9271338Z 
2022-11-23T01:32:29.9271407Z def call(args):
2022-11-23T01:32:29.9271494Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9271571Z     args.clear()
2022-11-23T01:32:29.9271779Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9271982Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9272188Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9272426Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:29.9272496Z     del arg0_1
2022-11-23T01:32:29.9272569Z     del arg1_1
2022-11-23T01:32:29.9272643Z     del arg2_1
2022-11-23T01:32:29.9272725Z     return (buf0, buf4, )
2022-11-23T01:32:29.9272731Z 
2022-11-23T01:32:29.9272735Z 
2022-11-23T01:32:29.9272818Z if __name__ == "__main__":
2022-11-23T01:32:29.9272941Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9273069Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9273278Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9273496Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9273699Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9273828Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9273859Z 
2022-11-23T01:32:29.9273932Z ok (3.619s)
2022-11-23T01:32:29.9274243Z   test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:21,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9274556Z [2022-11-23 01:24:21,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9274776Z [2022-11-23 01:24:21,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9275032Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9275313Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9275622Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9275965Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9276287Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9276662Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467> 
2022-11-23T01:32:29.9276768Z  3468           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9276882Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:29.9277015Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9277147Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9277266Z                8 BUILD_LIST               1
2022-11-23T01:32:29.9277389Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9277512Z               12 LOAD_CONST               1 (True)
2022-11-23T01:32:29.9277634Z               14 CALL_METHOD              4
2022-11-23T01:32:29.9277741Z               16 RETURN_VALUE
2022-11-23T01:32:29.9277824Z  
2022-11-23T01:32:29.9277831Z 
2022-11-23T01:32:29.9278217Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3468
2022-11-23T01:32:29.9278571Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9279022Z [2022-11-23 01:24:21,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9279447Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9279885Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9280270Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9280645Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9281098Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9281542Z [2022-11-23 01:24:21,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9281823Z [2022-11-23 01:24:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9282202Z [2022-11-23 01:24:21,285] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467>
2022-11-23T01:32:29.9282453Z [2022-11-23 01:24:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9282693Z [2022-11-23 01:24:21,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9282953Z [2022-11-23 01:24:21,289] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9283210Z [2022-11-23 01:24:21,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9283402Z [2022-11-23 01:24:21,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9283542Z  __compiled_fn_111 <eval_with_key>.700 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9283639Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9283732Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9283822Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9284099Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:29.9284210Z output, output, output, ((index_put,),), {}
2022-11-23T01:32:29.9284216Z 
2022-11-23T01:32:29.9284548Z [2022-11-23 01:24:21,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9284642Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9284742Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9284838Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9284938Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9285031Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9285126Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9285208Z              12 RETURN_VALUE
2022-11-23T01:32:29.9285214Z 
2022-11-23T01:32:29.9285271Z  
2022-11-23T01:32:29.9285599Z [2022-11-23 01:24:21,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9285721Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_111)
2022-11-23T01:32:29.9285820Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9285922Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9286006Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9286101Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9286199Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9286274Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9286368Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9286462Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9286543Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9286642Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9286741Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9286821Z              24 RETURN_VALUE
2022-11-23T01:32:29.9286827Z 
2022-11-23T01:32:29.9286884Z  
2022-11-23T01:32:29.9287073Z [2022-11-23 01:24:21,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9287154Z  - 
2022-11-23T01:32:29.9287279Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9287391Z             {
2022-11-23T01:32:29.9287537Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9287726Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9287873Z                 'obj_weakref': None
2022-11-23T01:32:29.9288099Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9288170Z             }
2022-11-23T01:32:29.9288241Z             
2022-11-23T01:32:29.9288316Z  - 
2022-11-23T01:32:29.9288449Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9288522Z             {
2022-11-23T01:32:29.9288660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9288774Z                 'code': None,
2022-11-23T01:32:29.9288986Z                 'obj_weakref': <weakref at 0x7f2115af4fe0; to 'Tensor' at 0x7f2115a885e0>
2022-11-23T01:32:29.9289238Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9289308Z             }
2022-11-23T01:32:29.9289379Z             
2022-11-23T01:32:29.9289454Z  - 
2022-11-23T01:32:29.9289573Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9289646Z             {
2022-11-23T01:32:29.9289792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9289906Z                 'code': None,
2022-11-23T01:32:29.9290114Z                 'obj_weakref': <weakref at 0x7f2060155940; to 'Tensor' at 0x7f2115adb150>
2022-11-23T01:32:29.9290363Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9290433Z             }
2022-11-23T01:32:29.9290493Z             
2022-11-23T01:32:29.9290569Z  - 
2022-11-23T01:32:29.9290699Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9290772Z             {
2022-11-23T01:32:29.9290919Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9291032Z                 'code': None,
2022-11-23T01:32:29.9291241Z                 'obj_weakref': <weakref at 0x7f20601571f0; to 'Tensor' at 0x7f2151eec5e0>
2022-11-23T01:32:29.9291506Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9291601Z             }
2022-11-23T01:32:29.9291673Z             
2022-11-23T01:32:29.9291748Z  - 
2022-11-23T01:32:29.9291884Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9291954Z             {
2022-11-23T01:32:29.9292093Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9292261Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9292385Z                 'obj_weakref': None
2022-11-23T01:32:29.9292617Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9292687Z             }
2022-11-23T01:32:29.9292755Z             
2022-11-23T01:32:29.9292829Z  - 
2022-11-23T01:32:29.9292960Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9293021Z             {
2022-11-23T01:32:29.9293163Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9293388Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9293514Z                 'obj_weakref': None
2022-11-23T01:32:29.9293740Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9293810Z             }
2022-11-23T01:32:29.9293880Z             
2022-11-23T01:32:29.9293947Z  - 
2022-11-23T01:32:29.9294085Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9294154Z             {
2022-11-23T01:32:29.9294283Z                 'guard_types': None,
2022-11-23T01:32:29.9294395Z                 'code': None,
2022-11-23T01:32:29.9294519Z                 'obj_weakref': None
2022-11-23T01:32:29.9294645Z                 'guarded_class': None
2022-11-23T01:32:29.9294706Z             }
2022-11-23T01:32:29.9294815Z             
2022-11-23T01:32:29.9295085Z [2022-11-23 01:24:21,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110
2022-11-23T01:32:29.9295455Z [2022-11-23 01:24:22,852] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rj/crjrcl2ulfh5xexnzo23c5jyepkbvuuycsyqghh5qu2blmnvysjd.py
2022-11-23T01:32:29.9295747Z [2022-11-23 01:24:22,853] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110
2022-11-23T01:32:29.9295753Z 
2022-11-23T01:32:29.9295853Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9295926Z import torch
2022-11-23T01:32:29.9296005Z import random
2022-11-23T01:32:29.9296119Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9296245Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9296251Z 
2022-11-23T01:32:29.9296334Z aten = torch.ops.aten
2022-11-23T01:32:29.9296476Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9296576Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9296581Z 
2022-11-23T01:32:29.9296657Z import triton
2022-11-23T01:32:29.9296751Z import triton.language as tl
2022-11-23T01:32:29.9296871Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9297015Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9297021Z 
2022-11-23T01:32:29.9297025Z 
2022-11-23T01:32:29.9297164Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9297372Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9297498Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9297611Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9297719Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9297824Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9297882Z {
2022-11-23T01:32:29.9297989Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9298057Z     {
2022-11-23T01:32:29.9298140Z         #pragma omp for 
2022-11-23T01:32:29.9298232Z         for(long i0=0; i0<156800; i0+=1)
2022-11-23T01:32:29.9298301Z         {
2022-11-23T01:32:29.9298448Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9298537Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9298605Z         }
2022-11-23T01:32:29.9298705Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9299125Z         for(long i0=1254400; i0<1254400; i0+=1)
2022-11-23T01:32:29.9299220Z         {
2022-11-23T01:32:29.9299312Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9299398Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9299458Z         }
2022-11-23T01:32:29.9299539Z         #pragma omp for 
2022-11-23T01:32:29.9299628Z         for(long i0=0; i0<600; i0+=1)
2022-11-23T01:32:29.9299701Z         {
2022-11-23T01:32:29.9299787Z             #pragma GCC ivdep
2022-11-23T01:32:29.9299886Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:32:29.9299955Z             {
2022-11-23T01:32:29.9300017Z                 {
2022-11-23T01:32:29.9300091Z                     {
2022-11-23T01:32:29.9300199Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:29.9300310Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:32:29.9300434Z                         atomic_add(&out_ptr0[i1 + (12544*tmp0)], tmp1);
2022-11-23T01:32:29.9300506Z                     }
2022-11-23T01:32:29.9300576Z                 }
2022-11-23T01:32:29.9300636Z             }
2022-11-23T01:32:29.9300704Z         }
2022-11-23T01:32:29.9300772Z     }
2022-11-23T01:32:29.9300836Z }
2022-11-23T01:32:29.9300929Z ''')
2022-11-23T01:32:29.9300935Z 
2022-11-23T01:32:29.9300939Z 
2022-11-23T01:32:29.9301033Z async_compile.wait(globals())
2022-11-23T01:32:29.9301109Z del async_compile
2022-11-23T01:32:29.9301115Z 
2022-11-23T01:32:29.9301183Z def call(args):
2022-11-23T01:32:29.9301329Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9301405Z     args.clear()
2022-11-23T01:32:29.9301630Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9301859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9301932Z     del arg0_1
2022-11-23T01:32:29.9302005Z     del arg1_1
2022-11-23T01:32:29.9302070Z     del arg2_1
2022-11-23T01:32:29.9302150Z     return (buf0, )
2022-11-23T01:32:29.9302155Z 
2022-11-23T01:32:29.9302160Z 
2022-11-23T01:32:29.9302240Z if __name__ == "__main__":
2022-11-23T01:32:29.9302362Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9302492Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9302720Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9302921Z     arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9303137Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9303259Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9303276Z 
2022-11-23T01:32:29.9303342Z ok (1.653s)
2022-11-23T01:32:29.9303651Z   test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9303962Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9304180Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9304434Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9304713Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9305030Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9305372Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9305692Z [2022-11-23 01:24:22,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9306050Z [2022-11-23 01:24:22,876] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482> 
2022-11-23T01:32:29.9306158Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9306258Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9306360Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9306467Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:29.9306565Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9306666Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9306766Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9306856Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9306953Z               16 BUILD_TUPLE              3
2022-11-23T01:32:29.9307050Z               18 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9307144Z               20 CALL_METHOD              3
2022-11-23T01:32:29.9307224Z               22 POP_TOP
2022-11-23T01:32:29.9307229Z 
2022-11-23T01:32:29.9307326Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9307420Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9307492Z               28 BINARY_ADD
2022-11-23T01:32:29.9307635Z               30 STORE_FAST               3 (a1)
2022-11-23T01:32:29.9307642Z 
2022-11-23T01:32:29.9307743Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9307842Z               34 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9307966Z               36 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9308075Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:29.9308173Z               40 LOAD_FAST                3 (a1)
2022-11-23T01:32:29.9308270Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9308356Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9308456Z               46 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9308536Z               48 BINARY_ADD
2022-11-23T01:32:29.9308633Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9308728Z               52 BUILD_TUPLE              3
2022-11-23T01:32:29.9308823Z               54 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9308919Z               56 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9308991Z               58 BINARY_ADD
2022-11-23T01:32:29.9309086Z               60 CALL_METHOD              3
2022-11-23T01:32:29.9309164Z               62 POP_TOP
2022-11-23T01:32:29.9309173Z 
2022-11-23T01:32:29.9309268Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9309368Z               66 LOAD_FAST                3 (a1)
2022-11-23T01:32:29.9309464Z               68 BUILD_TUPLE              2
2022-11-23T01:32:29.9309547Z               70 RETURN_VALUE
2022-11-23T01:32:29.9309606Z  
2022-11-23T01:32:29.9309611Z 
2022-11-23T01:32:29.9309929Z [2022-11-23 01:24:22,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483
2022-11-23T01:32:29.9310155Z [2022-11-23 01:24:22,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9310622Z [2022-11-23 01:24:22,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9310962Z [2022-11-23 01:24:22,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9311277Z [2022-11-23 01:24:22,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9311537Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9311825Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9312151Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9312514Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9312913Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9313215Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:29.9313550Z [2022-11-23 01:24:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.9313794Z [2022-11-23 01:24:22,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9314140Z [2022-11-23 01:24:22,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484
2022-11-23T01:32:29.9314353Z [2022-11-23 01:24:22,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9314589Z [2022-11-23 01:24:22,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.9314893Z [2022-11-23 01:24:22,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9315135Z [2022-11-23 01:24:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T01:32:29.9315446Z [2022-11-23 01:24:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485
2022-11-23T01:32:29.9315669Z [2022-11-23 01:24:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9316023Z [2022-11-23 01:24:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9316315Z [2022-11-23 01:24:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9316634Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9316895Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9317183Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9317509Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9317860Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9318255Z [2022-11-23 01:24:22,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9318618Z [2022-11-23 01:24:22,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9319017Z [2022-11-23 01:24:22,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9319324Z [2022-11-23 01:24:22,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:29.9319658Z [2022-11-23 01:24:22,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.9320035Z [2022-11-23 01:24:22,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9320364Z [2022-11-23 01:24:22,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:29.9320606Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9320914Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486
2022-11-23T01:32:29.9321150Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9321389Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T01:32:29.9321681Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9321983Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9322360Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482>
2022-11-23T01:32:29.9322609Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9322848Z [2022-11-23 01:24:22,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9323099Z [2022-11-23 01:24:22,895] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9323399Z [2022-11-23 01:24:22,899] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9323667Z [2022-11-23 01:24:22,899] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9323920Z [2022-11-23 01:24:22,899] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9324115Z [2022-11-23 01:24:22,899] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9324256Z  __compiled_fn_112 <eval_with_key>.703 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9324351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9324445Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9324528Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9324680Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T01:32:29.9324860Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9325037Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:29.9325208Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:29.9325365Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T01:32:29.9325466Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.9325472Z 
2022-11-23T01:32:29.9325795Z [2022-11-23 01:24:22,899] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9325888Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9325985Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9326077Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9326176Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9326270Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9326366Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9326447Z              12 RETURN_VALUE
2022-11-23T01:32:29.9326452Z 
2022-11-23T01:32:29.9326519Z  
2022-11-23T01:32:29.9326836Z [2022-11-23 01:24:22,899] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9326952Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_112)
2022-11-23T01:32:29.9327052Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9327148Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9327229Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9327326Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9327421Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9327494Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9327588Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9327716Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9327799Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9327893Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9328004Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9328122Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9328207Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9328288Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9328398Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9328491Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9328573Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9328666Z              36 BUILD_TUPLE              2
2022-11-23T01:32:29.9328745Z              38 RETURN_VALUE
2022-11-23T01:32:29.9328750Z 
2022-11-23T01:32:29.9328816Z  
2022-11-23T01:32:29.9328998Z [2022-11-23 01:24:22,900] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9329074Z  - 
2022-11-23T01:32:29.9329199Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9329269Z             {
2022-11-23T01:32:29.9329413Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9329604Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9329734Z                 'obj_weakref': None
2022-11-23T01:32:29.9329950Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9330021Z             }
2022-11-23T01:32:29.9330090Z             
2022-11-23T01:32:29.9330166Z  - 
2022-11-23T01:32:29.9330293Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9330365Z             {
2022-11-23T01:32:29.9330503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9330615Z                 'code': None,
2022-11-23T01:32:29.9330825Z                 'obj_weakref': <weakref at 0x7f2068174220; to 'Tensor' at 0x7f21276a5ad0>
2022-11-23T01:32:29.9331075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9331146Z             }
2022-11-23T01:32:29.9331215Z             
2022-11-23T01:32:29.9331292Z  - 
2022-11-23T01:32:29.9331422Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9331483Z             {
2022-11-23T01:32:29.9331627Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9331737Z                 'code': None,
2022-11-23T01:32:29.9331941Z                 'obj_weakref': <weakref at 0x7f2068176110; to 'Tensor' at 0x7f21276a7470>
2022-11-23T01:32:29.9332183Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9332252Z             }
2022-11-23T01:32:29.9332319Z             
2022-11-23T01:32:29.9332385Z  - 
2022-11-23T01:32:29.9332514Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9332582Z             {
2022-11-23T01:32:29.9332728Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9332842Z                 'code': None,
2022-11-23T01:32:29.9333053Z                 'obj_weakref': <weakref at 0x7f207277fec0; to 'Tensor' at 0x7f21276a6430>
2022-11-23T01:32:29.9333294Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9333358Z             }
2022-11-23T01:32:29.9333426Z             
2022-11-23T01:32:29.9333501Z  - 
2022-11-23T01:32:29.9333638Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9333706Z             {
2022-11-23T01:32:29.9333845Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9334022Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9334137Z                 'obj_weakref': None
2022-11-23T01:32:29.9334368Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9334437Z             }
2022-11-23T01:32:29.9334505Z             
2022-11-23T01:32:29.9334583Z  - 
2022-11-23T01:32:29.9334757Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9334827Z             {
2022-11-23T01:32:29.9334961Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9335212Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9335337Z                 'obj_weakref': None
2022-11-23T01:32:29.9335563Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9335632Z             }
2022-11-23T01:32:29.9335700Z             
2022-11-23T01:32:29.9335776Z  - 
2022-11-23T01:32:29.9335906Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9335977Z             {
2022-11-23T01:32:29.9336102Z                 'guard_types': None,
2022-11-23T01:32:29.9336213Z                 'code': None,
2022-11-23T01:32:29.9336336Z                 'obj_weakref': None
2022-11-23T01:32:29.9336465Z                 'guarded_class': None
2022-11-23T01:32:29.9336528Z             }
2022-11-23T01:32:29.9336596Z             
2022-11-23T01:32:29.9336666Z ok (0.035s)
2022-11-23T01:32:29.9337003Z   test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9337320Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9337538Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9337791Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9338066Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9338386Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9338717Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9339282Z [2022-11-23 01:24:22,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9339661Z [2022-11-23 01:24:22,911] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:29.9339761Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9339863Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9339958Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9340056Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9340061Z 
2022-11-23T01:32:29.9340166Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9340265Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9340354Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9340464Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9340561Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9340656Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9340754Z               20 BUILD_LIST               1
2022-11-23T01:32:29.9340849Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9340941Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9341028Z               26 CALL_METHOD              4
2022-11-23T01:32:29.9341106Z               28 POP_TOP
2022-11-23T01:32:29.9341112Z 
2022-11-23T01:32:29.9341207Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9341288Z               32 RETURN_VALUE
2022-11-23T01:32:29.9341354Z  
2022-11-23T01:32:29.9341359Z 
2022-11-23T01:32:29.9341761Z [2022-11-23 01:24:22,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:29.9342016Z [2022-11-23 01:24:22,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9342267Z [2022-11-23 01:24:22,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9342543Z [2022-11-23 01:24:22,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9342785Z [2022-11-23 01:24:22,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9343098Z [2022-11-23 01:24:22,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:29.9343323Z [2022-11-23 01:24:22,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9343686Z [2022-11-23 01:24:22,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9343985Z [2022-11-23 01:24:22,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9344303Z [2022-11-23 01:24:22,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9344564Z [2022-11-23 01:24:22,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9344855Z [2022-11-23 01:24:22,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9345166Z [2022-11-23 01:24:22,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9345471Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9345803Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9346186Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9346431Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9346737Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:29.9346950Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9347201Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9347580Z [2022-11-23 01:24:22,919] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:29.9347831Z [2022-11-23 01:24:22,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9348070Z [2022-11-23 01:24:22,920] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9348328Z [2022-11-23 01:24:22,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9348572Z [2022-11-23 01:24:22,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9348800Z [2022-11-23 01:24:22,923] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9348940Z  __compiled_fn_113 <eval_with_key>.709 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9349035Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9349151Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9349241Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9349341Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9349490Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:29.9349584Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9349589Z 
2022-11-23T01:32:29.9349919Z [2022-11-23 01:24:22,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9350018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9350116Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9350209Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9350398Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9350495Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9350594Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9350673Z              12 RETURN_VALUE
2022-11-23T01:32:29.9350679Z 
2022-11-23T01:32:29.9350743Z  
2022-11-23T01:32:29.9351074Z [2022-11-23 01:24:22,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9351192Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_113)
2022-11-23T01:32:29.9351287Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9351384Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9351467Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9351554Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9351650Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9351733Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9351827Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9351921Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9352001Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9352099Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9352188Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9352269Z              24 RETURN_VALUE
2022-11-23T01:32:29.9352274Z 
2022-11-23T01:32:29.9352339Z  
2022-11-23T01:32:29.9352528Z [2022-11-23 01:24:22,925] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9352603Z  - 
2022-11-23T01:32:29.9352728Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9352798Z             {
2022-11-23T01:32:29.9352936Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9353128Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:29.9353256Z                 'obj_weakref': None
2022-11-23T01:32:29.9353488Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9353559Z             }
2022-11-23T01:32:29.9353630Z             
2022-11-23T01:32:29.9353706Z  - 
2022-11-23T01:32:29.9353831Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9353900Z             {
2022-11-23T01:32:29.9354049Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9354160Z                 'code': None,
2022-11-23T01:32:29.9354370Z                 'obj_weakref': <weakref at 0x7f20680ae390; to 'Tensor' at 0x7f2115e4c720>
2022-11-23T01:32:29.9354618Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9354690Z             }
2022-11-23T01:32:29.9354758Z             
2022-11-23T01:32:29.9354826Z  - 
2022-11-23T01:32:29.9354951Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9355020Z             {
2022-11-23T01:32:29.9355165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9355315Z                 'code': None,
2022-11-23T01:32:29.9355522Z                 'obj_weakref': <weakref at 0x7f20680acbd0; to 'Tensor' at 0x7f2060795c60>
2022-11-23T01:32:29.9355799Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9355861Z             }
2022-11-23T01:32:29.9355931Z             
2022-11-23T01:32:29.9356007Z  - 
2022-11-23T01:32:29.9356133Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9356201Z             {
2022-11-23T01:32:29.9356346Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9356450Z                 'code': None,
2022-11-23T01:32:29.9356652Z                 'obj_weakref': <weakref at 0x7f20680ae7f0; to 'Tensor' at 0x7f2060794040>
2022-11-23T01:32:29.9356894Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9356964Z             }
2022-11-23T01:32:29.9357037Z             
2022-11-23T01:32:29.9357113Z  - 
2022-11-23T01:32:29.9357245Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:29.9357315Z             {
2022-11-23T01:32:29.9357447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9357622Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:29.9357748Z                 'obj_weakref': None
2022-11-23T01:32:29.9357971Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9358039Z             }
2022-11-23T01:32:29.9358109Z             
2022-11-23T01:32:29.9358184Z  - 
2022-11-23T01:32:29.9358311Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9358380Z             {
2022-11-23T01:32:29.9358521Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9358699Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9358823Z                 'obj_weakref': None
2022-11-23T01:32:29.9359056Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9359125Z             }
2022-11-23T01:32:29.9359187Z             
2022-11-23T01:32:29.9359269Z  - 
2022-11-23T01:32:29.9359395Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9359466Z             {
2022-11-23T01:32:29.9359606Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9359831Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9359947Z                 'obj_weakref': None
2022-11-23T01:32:29.9360170Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9360239Z             }
2022-11-23T01:32:29.9360308Z             
2022-11-23T01:32:29.9360382Z  - 
2022-11-23T01:32:29.9360521Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9360589Z             {
2022-11-23T01:32:29.9360707Z                 'guard_types': None,
2022-11-23T01:32:29.9360822Z                 'code': None,
2022-11-23T01:32:29.9360948Z                 'obj_weakref': None
2022-11-23T01:32:29.9361074Z                 'guarded_class': None
2022-11-23T01:32:29.9361145Z             }
2022-11-23T01:32:29.9361215Z             
2022-11-23T01:32:29.9361476Z [2022-11-23 01:24:22,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111
2022-11-23T01:32:29.9361842Z [2022-11-23 01:24:24,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciu5jdituznlhhojqm7lmkchswkje3l7gvearjjcppbeuughglpv.py
2022-11-23T01:32:29.9362111Z [2022-11-23 01:24:24,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111
2022-11-23T01:32:29.9362353Z [2022-11-23 01:24:24,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9362703Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9362927Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9363184Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9363486Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9363807Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9364153Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9364474Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9364851Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:29.9364951Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9365053Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9365151Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9365252Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9365258Z 
2022-11-23T01:32:29.9365357Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9365456Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9365556Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9365664Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9365752Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9365846Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9365944Z               20 BUILD_LIST               1
2022-11-23T01:32:29.9366040Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9366135Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9366233Z               26 CALL_METHOD              4
2022-11-23T01:32:29.9366311Z               28 POP_TOP
2022-11-23T01:32:29.9366316Z 
2022-11-23T01:32:29.9366401Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9366486Z               32 RETURN_VALUE
2022-11-23T01:32:29.9366553Z  
2022-11-23T01:32:29.9366558Z 
2022-11-23T01:32:29.9366871Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:29.9367089Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9367338Z [2022-11-23 01:24:24,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9367626Z [2022-11-23 01:24:24,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9367868Z [2022-11-23 01:24:24,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9368182Z [2022-11-23 01:24:24,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:29.9368398Z [2022-11-23 01:24:24,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9368759Z [2022-11-23 01:24:24,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9369054Z [2022-11-23 01:24:24,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9369393Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9369653Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9369960Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9370274Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9370585Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9370924Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9371307Z [2022-11-23 01:24:24,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9371558Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9371864Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:29.9372076Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9372327Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9372706Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:29.9372959Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9373197Z [2022-11-23 01:24:24,490] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9373455Z [2022-11-23 01:24:24,491] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9373705Z [2022-11-23 01:24:24,494] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9373896Z [2022-11-23 01:24:24,494] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9374027Z  __compiled_fn_114 <eval_with_key>.715 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9374123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9374217Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9374311Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9374411Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9374559Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:29.9374661Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9374666Z 
2022-11-23T01:32:29.9374989Z [2022-11-23 01:24:24,495] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9375086Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9375182Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9375277Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9375377Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9375468Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9375565Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9375647Z              12 RETURN_VALUE
2022-11-23T01:32:29.9375653Z 
2022-11-23T01:32:29.9375710Z  
2022-11-23T01:32:29.9376064Z [2022-11-23 01:24:24,495] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9376184Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_114)
2022-11-23T01:32:29.9376306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9376404Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9376486Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9376581Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9376674Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9376748Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9376841Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9376934Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9377015Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9377107Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9377203Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9377284Z              24 RETURN_VALUE
2022-11-23T01:32:29.9377291Z 
2022-11-23T01:32:29.9377349Z  
2022-11-23T01:32:29.9377538Z [2022-11-23 01:24:24,495] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9377615Z  - 
2022-11-23T01:32:29.9377743Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9377812Z             {
2022-11-23T01:32:29.9377958Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9378146Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:29.9378262Z                 'obj_weakref': None
2022-11-23T01:32:29.9378487Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9378557Z             }
2022-11-23T01:32:29.9378625Z             
2022-11-23T01:32:29.9378702Z  - 
2022-11-23T01:32:29.9379030Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9379130Z             {
2022-11-23T01:32:29.9379309Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9379428Z                 'code': None,
2022-11-23T01:32:29.9379641Z                 'obj_weakref': <weakref at 0x7f20606e5940; to 'Tensor' at 0x7f2115e4c720>
2022-11-23T01:32:29.9379892Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9379965Z             }
2022-11-23T01:32:29.9380034Z             
2022-11-23T01:32:29.9380109Z  - 
2022-11-23T01:32:29.9380228Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9380297Z             {
2022-11-23T01:32:29.9380440Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9380552Z                 'code': None,
2022-11-23T01:32:29.9380761Z                 'obj_weakref': <weakref at 0x7f2115ad9990; to 'Tensor' at 0x7f2072844130>
2022-11-23T01:32:29.9381006Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9381075Z             }
2022-11-23T01:32:29.9381136Z             
2022-11-23T01:32:29.9381214Z  - 
2022-11-23T01:32:29.9381343Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9381412Z             {
2022-11-23T01:32:29.9381556Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9381669Z                 'code': None,
2022-11-23T01:32:29.9381874Z                 'obj_weakref': <weakref at 0x7f206070d1c0; to 'Tensor' at 0x7f20728468e0>
2022-11-23T01:32:29.9382104Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9382174Z             }
2022-11-23T01:32:29.9382242Z             
2022-11-23T01:32:29.9382317Z  - 
2022-11-23T01:32:29.9382450Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:29.9382519Z             {
2022-11-23T01:32:29.9382656Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9382818Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:29.9382941Z                 'obj_weakref': None
2022-11-23T01:32:29.9383269Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9383345Z             }
2022-11-23T01:32:29.9383415Z             
2022-11-23T01:32:29.9383492Z  - 
2022-11-23T01:32:29.9383659Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9383720Z             {
2022-11-23T01:32:29.9383857Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9384031Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9384155Z                 'obj_weakref': None
2022-11-23T01:32:29.9384382Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9384451Z             }
2022-11-23T01:32:29.9384523Z             
2022-11-23T01:32:29.9384590Z  - 
2022-11-23T01:32:29.9384715Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9384783Z             {
2022-11-23T01:32:29.9384923Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9385145Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9385272Z                 'obj_weakref': None
2022-11-23T01:32:29.9385496Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9385561Z             }
2022-11-23T01:32:29.9385628Z             
2022-11-23T01:32:29.9385705Z  - 
2022-11-23T01:32:29.9385844Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9385913Z             {
2022-11-23T01:32:29.9386037Z                 'guard_types': None,
2022-11-23T01:32:29.9386148Z                 'code': None,
2022-11-23T01:32:29.9386262Z                 'obj_weakref': None
2022-11-23T01:32:29.9386388Z                 'guarded_class': None
2022-11-23T01:32:29.9386457Z             }
2022-11-23T01:32:29.9386526Z             
2022-11-23T01:32:29.9386789Z [2022-11-23 01:24:24,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112
2022-11-23T01:32:29.9387147Z [2022-11-23 01:24:26,050] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvsk7i2he43km6ffuo5hfrnx34bud2kgx7ayuvm2pheofs67uvfz.py
2022-11-23T01:32:29.9387416Z [2022-11-23 01:24:26,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112
2022-11-23T01:32:29.9387425Z 
2022-11-23T01:32:29.9387526Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9387593Z import torch
2022-11-23T01:32:29.9387668Z import random
2022-11-23T01:32:29.9387792Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9387918Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9387924Z 
2022-11-23T01:32:29.9388008Z aten = torch.ops.aten
2022-11-23T01:32:29.9388155Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9388271Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9388278Z 
2022-11-23T01:32:29.9388369Z import triton
2022-11-23T01:32:29.9388499Z import triton.language as tl
2022-11-23T01:32:29.9388668Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9388847Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9388854Z 
2022-11-23T01:32:29.9388864Z 
2022-11-23T01:32:29.9389060Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9389323Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9389482Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:29.9389619Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9389751Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9389880Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9389947Z {
2022-11-23T01:32:29.9390052Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9390120Z     {
2022-11-23T01:32:29.9390204Z         #pragma omp for 
2022-11-23T01:32:29.9390379Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.9390515Z         {
2022-11-23T01:32:29.9390626Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:32:29.9390756Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:32:29.9390950Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:29.9391081Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:29.9391220Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:29.9391351Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:32:29.9391451Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9391513Z         }
2022-11-23T01:32:29.9391612Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9391704Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:29.9391772Z         {
2022-11-23T01:32:29.9391862Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9391952Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:29.9392044Z             auto tmp2 = in_ptr2[i0];
2022-11-23T01:32:29.9392137Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:29.9392223Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:29.9392296Z         }
2022-11-23T01:32:29.9392361Z     }
2022-11-23T01:32:29.9392427Z }
2022-11-23T01:32:29.9392526Z ''')
2022-11-23T01:32:29.9392531Z 
2022-11-23T01:32:29.9392536Z 
2022-11-23T01:32:29.9392634Z async_compile.wait(globals())
2022-11-23T01:32:29.9392705Z del async_compile
2022-11-23T01:32:29.9392710Z 
2022-11-23T01:32:29.9392787Z def call(args):
2022-11-23T01:32:29.9392877Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9392953Z     args.clear()
2022-11-23T01:32:29.9393165Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9393359Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9393434Z     del arg0_1
2022-11-23T01:32:29.9393502Z     del arg1_1
2022-11-23T01:32:29.9393575Z     del arg2_1
2022-11-23T01:32:29.9393652Z     return (buf0, )
2022-11-23T01:32:29.9393658Z 
2022-11-23T01:32:29.9393662Z 
2022-11-23T01:32:29.9393746Z if __name__ == "__main__":
2022-11-23T01:32:29.9393868Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9393997Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9394208Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9394409Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9394587Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9394717Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9394722Z 
2022-11-23T01:32:29.9394727Z 
2022-11-23T01:32:29.9394826Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9394901Z import torch
2022-11-23T01:32:29.9394976Z import random
2022-11-23T01:32:29.9395099Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9395224Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9395229Z 
2022-11-23T01:32:29.9395320Z aten = torch.ops.aten
2022-11-23T01:32:29.9395453Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9395553Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9395558Z 
2022-11-23T01:32:29.9395633Z import triton
2022-11-23T01:32:29.9395727Z import triton.language as tl
2022-11-23T01:32:29.9395854Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9395997Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9396003Z 
2022-11-23T01:32:29.9396007Z 
2022-11-23T01:32:29.9396143Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9396352Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9396502Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:29.9396621Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9396730Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9396861Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9396928Z {
2022-11-23T01:32:29.9397031Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9397098Z     {
2022-11-23T01:32:29.9397174Z         #pragma omp for 
2022-11-23T01:32:29.9397263Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:29.9397331Z         {
2022-11-23T01:32:29.9397438Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:32:29.9397569Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:32:29.9397716Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:29.9397856Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:29.9397989Z             auto tmp2 = at::vec::Vectorized<float>(in_ptr2[0]);
2022-11-23T01:32:29.9398073Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.9398202Z             auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0);
2022-11-23T01:32:29.9398303Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9398373Z         }
2022-11-23T01:32:29.9398473Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9398565Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:29.9398637Z         {
2022-11-23T01:32:29.9398719Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9398808Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.9398897Z             auto tmp2 = in_ptr2[0];
2022-11-23T01:32:29.9398985Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.9399085Z             auto tmp4 = tmp0 ? tmp3 : tmp1;
2022-11-23T01:32:29.9399172Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:29.9399240Z         }
2022-11-23T01:32:29.9399299Z     }
2022-11-23T01:32:29.9399365Z }
2022-11-23T01:32:29.9399454Z ''')
2022-11-23T01:32:29.9399461Z 
2022-11-23T01:32:29.9399466Z 
2022-11-23T01:32:29.9399562Z async_compile.wait(globals())
2022-11-23T01:32:29.9399641Z del async_compile
2022-11-23T01:32:29.9399647Z 
2022-11-23T01:32:29.9399726Z def call(args):
2022-11-23T01:32:29.9399814Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9399883Z     args.clear()
2022-11-23T01:32:29.9400092Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9400287Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9400361Z     del arg0_1
2022-11-23T01:32:29.9400434Z     del arg1_1
2022-11-23T01:32:29.9400506Z     del arg2_1
2022-11-23T01:32:29.9400587Z     return (buf0, )
2022-11-23T01:32:29.9400592Z 
2022-11-23T01:32:29.9400597Z 
2022-11-23T01:32:29.9400670Z if __name__ == "__main__":
2022-11-23T01:32:29.9400793Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9400925Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9401134Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9401339Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9401531Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9401659Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9401664Z 
2022-11-23T01:32:29.9401736Z ok (3.146s)
2022-11-23T01:32:29.9402056Z   test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9402378Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9402600Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9402901Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9403184Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9403532Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9403875Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9404198Z [2022-11-23 01:24:26,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9404584Z [2022-11-23 01:24:26,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:29.9404689Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9404793Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9404884Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9404983Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9404988Z 
2022-11-23T01:32:29.9405088Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9405187Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9405288Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9405396Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9405492Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9405581Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9405677Z               20 BUILD_LIST               1
2022-11-23T01:32:29.9405770Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9405867Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9405960Z               26 CALL_METHOD              4
2022-11-23T01:32:29.9406040Z               28 POP_TOP
2022-11-23T01:32:29.9406049Z 
2022-11-23T01:32:29.9406144Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9406219Z               32 RETURN_VALUE
2022-11-23T01:32:29.9406286Z  
2022-11-23T01:32:29.9406291Z 
2022-11-23T01:32:29.9406610Z [2022-11-23 01:24:26,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:29.9406826Z [2022-11-23 01:24:26,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9407074Z [2022-11-23 01:24:26,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9407356Z [2022-11-23 01:24:26,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9407604Z [2022-11-23 01:24:26,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9407915Z [2022-11-23 01:24:26,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:29.9408141Z [2022-11-23 01:24:26,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9408505Z [2022-11-23 01:24:26,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9408791Z [2022-11-23 01:24:26,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9409105Z [2022-11-23 01:24:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9409399Z [2022-11-23 01:24:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9409690Z [2022-11-23 01:24:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9410025Z [2022-11-23 01:24:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9410329Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9410658Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9411032Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9411272Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9411586Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:29.9411797Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9412035Z [2022-11-23 01:24:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9412404Z [2022-11-23 01:24:26,066] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:29.9412650Z [2022-11-23 01:24:26,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9412887Z [2022-11-23 01:24:26,066] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9413143Z [2022-11-23 01:24:26,067] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9413393Z [2022-11-23 01:24:26,069] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9413590Z [2022-11-23 01:24:26,069] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9413729Z  __compiled_fn_115 <eval_with_key>.721 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9413823Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9413909Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9414000Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9414099Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9414247Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:29.9414349Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9414356Z 
2022-11-23T01:32:29.9414677Z [2022-11-23 01:24:26,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9414782Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9414880Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9414966Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9415069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9415160Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9415253Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9415335Z              12 RETURN_VALUE
2022-11-23T01:32:29.9415340Z 
2022-11-23T01:32:29.9415407Z  
2022-11-23T01:32:29.9415728Z [2022-11-23 01:24:26,070] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9415864Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_115)
2022-11-23T01:32:29.9415963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9416060Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9416165Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9416261Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9416354Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9416436Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9416522Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9416620Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9416702Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9416796Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9416892Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9416974Z              24 RETURN_VALUE
2022-11-23T01:32:29.9416979Z 
2022-11-23T01:32:29.9417045Z  
2022-11-23T01:32:29.9417240Z [2022-11-23 01:24:26,071] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9417309Z  - 
2022-11-23T01:32:29.9417431Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9417504Z             {
2022-11-23T01:32:29.9417651Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9417845Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:29.9417968Z                 'obj_weakref': None
2022-11-23T01:32:29.9418193Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9418256Z             }
2022-11-23T01:32:29.9418325Z             
2022-11-23T01:32:29.9418404Z  - 
2022-11-23T01:32:29.9418532Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9418599Z             {
2022-11-23T01:32:29.9418746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9419164Z                 'code': None,
2022-11-23T01:32:29.9419395Z                 'obj_weakref': <weakref at 0x7f20680acfe0; to 'Tensor' at 0x7f20680b1120>
2022-11-23T01:32:29.9419649Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9419720Z             }
2022-11-23T01:32:29.9419788Z             
2022-11-23T01:32:29.9419868Z  - 
2022-11-23T01:32:29.9419994Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9420055Z             {
2022-11-23T01:32:29.9420202Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9420312Z                 'code': None,
2022-11-23T01:32:29.9420524Z                 'obj_weakref': <weakref at 0x7f20680becf0; to 'Tensor' at 0x7f2151eec810>
2022-11-23T01:32:29.9420771Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9420844Z             }
2022-11-23T01:32:29.9420912Z             
2022-11-23T01:32:29.9420988Z  - 
2022-11-23T01:32:29.9421106Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9421177Z             {
2022-11-23T01:32:29.9421326Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9421438Z                 'code': None,
2022-11-23T01:32:29.9421642Z                 'obj_weakref': <weakref at 0x7f20680bc7c0; to 'Tensor' at 0x7f207277e6b0>
2022-11-23T01:32:29.9421883Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9421966Z             }
2022-11-23T01:32:29.9422039Z             
2022-11-23T01:32:29.9422120Z  - 
2022-11-23T01:32:29.9422271Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:29.9422339Z             {
2022-11-23T01:32:29.9422480Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9422649Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:29.9422772Z                 'obj_weakref': None
2022-11-23T01:32:29.9422983Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9423054Z             }
2022-11-23T01:32:29.9423187Z             
2022-11-23T01:32:29.9423266Z  - 
2022-11-23T01:32:29.9423401Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9423469Z             {
2022-11-23T01:32:29.9423599Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9423801Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9423923Z                 'obj_weakref': None
2022-11-23T01:32:29.9424156Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9424226Z             }
2022-11-23T01:32:29.9424294Z             
2022-11-23T01:32:29.9424369Z  - 
2022-11-23T01:32:29.9424486Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9424555Z             {
2022-11-23T01:32:29.9424697Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9424919Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9425045Z                 'obj_weakref': None
2022-11-23T01:32:29.9425264Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9425333Z             }
2022-11-23T01:32:29.9425402Z             
2022-11-23T01:32:29.9425472Z  - 
2022-11-23T01:32:29.9425607Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9425675Z             {
2022-11-23T01:32:29.9425801Z                 'guard_types': None,
2022-11-23T01:32:29.9425915Z                 'code': None,
2022-11-23T01:32:29.9426038Z                 'obj_weakref': None
2022-11-23T01:32:29.9426157Z                 'guarded_class': None
2022-11-23T01:32:29.9426226Z             }
2022-11-23T01:32:29.9426294Z             
2022-11-23T01:32:29.9426556Z [2022-11-23 01:24:26,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113
2022-11-23T01:32:29.9426930Z [2022-11-23 01:24:27,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pz/cpzoogayndreuuwkdwatsim2hdkggpmtsququd4xg2ynkczs55er.py
2022-11-23T01:32:29.9427193Z [2022-11-23 01:24:27,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113
2022-11-23T01:32:29.9427430Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9427745Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9427966Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9428210Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9428484Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9428799Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9429139Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9429463Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9429828Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:29.9429932Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9430036Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9430131Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9430223Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9430235Z 
2022-11-23T01:32:29.9430467Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9430570Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9430668Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9430801Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9430898Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9430994Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9431090Z               20 BUILD_LIST               1
2022-11-23T01:32:29.9431176Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9431270Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9431364Z               26 CALL_METHOD              4
2022-11-23T01:32:29.9431442Z               28 POP_TOP
2022-11-23T01:32:29.9431448Z 
2022-11-23T01:32:29.9431539Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9431621Z               32 RETURN_VALUE
2022-11-23T01:32:29.9431686Z  
2022-11-23T01:32:29.9431691Z 
2022-11-23T01:32:29.9431998Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:29.9432212Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9432462Z [2022-11-23 01:24:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9432748Z [2022-11-23 01:24:27,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9432986Z [2022-11-23 01:24:27,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9433290Z [2022-11-23 01:24:27,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:29.9433511Z [2022-11-23 01:24:27,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9433870Z [2022-11-23 01:24:27,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9434164Z [2022-11-23 01:24:27,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9434472Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9434721Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9435010Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9435319Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9435625Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9435957Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9436328Z [2022-11-23 01:24:27,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9436569Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9436876Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:29.9437115Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9437362Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9437753Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:29.9437992Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9438228Z [2022-11-23 01:24:27,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9438487Z [2022-11-23 01:24:27,610] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9438735Z [2022-11-23 01:24:27,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9438932Z [2022-11-23 01:24:27,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9439072Z  __compiled_fn_116 <eval_with_key>.727 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9439167Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9439264Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9439348Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9439450Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9439596Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:29.9439697Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9439703Z 
2022-11-23T01:32:29.9440025Z [2022-11-23 01:24:27,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9440126Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9440222Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9440315Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9440409Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9440503Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9440601Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9440687Z              12 RETURN_VALUE
2022-11-23T01:32:29.9440692Z 
2022-11-23T01:32:29.9440757Z  
2022-11-23T01:32:29.9441079Z [2022-11-23 01:24:27,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9441196Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_116)
2022-11-23T01:32:29.9441294Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9441383Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9441469Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9441565Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9441659Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9441746Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9441840Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9441932Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9442006Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9442106Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9442203Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9442283Z              24 RETURN_VALUE
2022-11-23T01:32:29.9442289Z 
2022-11-23T01:32:29.9442355Z  
2022-11-23T01:32:29.9442543Z [2022-11-23 01:24:27,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9442623Z  - 
2022-11-23T01:32:29.9442739Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9442810Z             {
2022-11-23T01:32:29.9442955Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9443145Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:29.9443268Z                 'obj_weakref': None
2022-11-23T01:32:29.9443526Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9443600Z             }
2022-11-23T01:32:29.9443661Z             
2022-11-23T01:32:29.9443738Z  - 
2022-11-23T01:32:29.9443912Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9443982Z             {
2022-11-23T01:32:29.9444130Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9444242Z                 'code': None,
2022-11-23T01:32:29.9444450Z                 'obj_weakref': <weakref at 0x7f206070c1d0; to 'Tensor' at 0x7f2023208540>
2022-11-23T01:32:29.9444690Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9444760Z             }
2022-11-23T01:32:29.9444829Z             
2022-11-23T01:32:29.9444905Z  - 
2022-11-23T01:32:29.9445031Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9445099Z             {
2022-11-23T01:32:29.9445244Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9445351Z                 'code': None,
2022-11-23T01:32:29.9445555Z                 'obj_weakref': <weakref at 0x7f206013a980; to 'Tensor' at 0x7f2115f5a520>
2022-11-23T01:32:29.9445808Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9445876Z             }
2022-11-23T01:32:29.9445945Z             
2022-11-23T01:32:29.9446020Z  - 
2022-11-23T01:32:29.9446145Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9446206Z             {
2022-11-23T01:32:29.9446351Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9446460Z                 'code': None,
2022-11-23T01:32:29.9446664Z                 'obj_weakref': <weakref at 0x7f20680ac040; to 'Tensor' at 0x7f2115f5b420>
2022-11-23T01:32:29.9446906Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9446975Z             }
2022-11-23T01:32:29.9447047Z             
2022-11-23T01:32:29.9447115Z  - 
2022-11-23T01:32:29.9447248Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:29.9447316Z             {
2022-11-23T01:32:29.9447457Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9447636Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:29.9447759Z                 'obj_weakref': None
2022-11-23T01:32:29.9447978Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9448039Z             }
2022-11-23T01:32:29.9448108Z             
2022-11-23T01:32:29.9448184Z  - 
2022-11-23T01:32:29.9448318Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9448386Z             {
2022-11-23T01:32:29.9448524Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9448698Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9448813Z                 'obj_weakref': None
2022-11-23T01:32:29.9449041Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9449110Z             }
2022-11-23T01:32:29.9449179Z             
2022-11-23T01:32:29.9449256Z  - 
2022-11-23T01:32:29.9449384Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9449453Z             {
2022-11-23T01:32:29.9449585Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9449806Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9449930Z                 'obj_weakref': None
2022-11-23T01:32:29.9450155Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9450222Z             }
2022-11-23T01:32:29.9450291Z             
2022-11-23T01:32:29.9450367Z  - 
2022-11-23T01:32:29.9450496Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9450563Z             {
2022-11-23T01:32:29.9450686Z                 'guard_types': None,
2022-11-23T01:32:29.9450832Z                 'code': None,
2022-11-23T01:32:29.9450956Z                 'obj_weakref': None
2022-11-23T01:32:29.9451080Z                 'guarded_class': None
2022-11-23T01:32:29.9451172Z             }
2022-11-23T01:32:29.9451233Z             
2022-11-23T01:32:29.9451495Z [2022-11-23 01:24:27,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114
2022-11-23T01:32:29.9451884Z [2022-11-23 01:24:27,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccjfsxonvj3vthylua4xce7azgxosns64spp7tn6ovsgw3afag5j.py
2022-11-23T01:32:29.9452173Z [2022-11-23 01:24:27,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114
2022-11-23T01:32:29.9452179Z 
2022-11-23T01:32:29.9452282Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9452356Z import torch
2022-11-23T01:32:29.9452432Z import random
2022-11-23T01:32:29.9452554Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9452676Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9452682Z 
2022-11-23T01:32:29.9452765Z aten = torch.ops.aten
2022-11-23T01:32:29.9452904Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9453005Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9453010Z 
2022-11-23T01:32:29.9453085Z import triton
2022-11-23T01:32:29.9453179Z import triton.language as tl
2022-11-23T01:32:29.9453308Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9453444Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9453460Z 
2022-11-23T01:32:29.9453465Z 
2022-11-23T01:32:29.9453595Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9453803Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9453929Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9454035Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9454104Z {
2022-11-23T01:32:29.9454186Z     #pragma GCC ivdep
2022-11-23T01:32:29.9454272Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:29.9454332Z     {
2022-11-23T01:32:29.9454402Z         {
2022-11-23T01:32:29.9454475Z             {
2022-11-23T01:32:29.9454571Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9454660Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9454728Z             }
2022-11-23T01:32:29.9454796Z         }
2022-11-23T01:32:29.9454855Z     }
2022-11-23T01:32:29.9454922Z }
2022-11-23T01:32:29.9455010Z ''')
2022-11-23T01:32:29.9455016Z 
2022-11-23T01:32:29.9455021Z 
2022-11-23T01:32:29.9455115Z async_compile.wait(globals())
2022-11-23T01:32:29.9455194Z del async_compile
2022-11-23T01:32:29.9455199Z 
2022-11-23T01:32:29.9455275Z def call(args):
2022-11-23T01:32:29.9455363Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9455432Z     args.clear()
2022-11-23T01:32:29.9455627Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9455769Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9455843Z     del arg0_1
2022-11-23T01:32:29.9455954Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T01:32:29.9456031Z     del arg1_1
2022-11-23T01:32:29.9456104Z     del arg2_1
2022-11-23T01:32:29.9456173Z     return (buf0, )
2022-11-23T01:32:29.9456179Z 
2022-11-23T01:32:29.9456183Z 
2022-11-23T01:32:29.9456265Z if __name__ == "__main__":
2022-11-23T01:32:29.9456384Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9456512Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9456705Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9456892Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9457082Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9457236Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9457242Z 
2022-11-23T01:32:29.9457247Z 
2022-11-23T01:32:29.9457339Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9457415Z import torch
2022-11-23T01:32:29.9457517Z import random
2022-11-23T01:32:29.9457637Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9457762Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9457767Z 
2022-11-23T01:32:29.9457850Z aten = torch.ops.aten
2022-11-23T01:32:29.9457989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9458085Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9458090Z 
2022-11-23T01:32:29.9458157Z import triton
2022-11-23T01:32:29.9458249Z import triton.language as tl
2022-11-23T01:32:29.9458376Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9458517Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9458522Z 
2022-11-23T01:32:29.9458527Z 
2022-11-23T01:32:29.9458667Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9459054Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9459215Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9459328Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9459388Z {
2022-11-23T01:32:29.9459469Z     #pragma GCC ivdep
2022-11-23T01:32:29.9459554Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:29.9459621Z     {
2022-11-23T01:32:29.9459690Z         {
2022-11-23T01:32:29.9459758Z             {
2022-11-23T01:32:29.9459845Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9459932Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9460000Z             }
2022-11-23T01:32:29.9460069Z         }
2022-11-23T01:32:29.9460136Z     }
2022-11-23T01:32:29.9460202Z }
2022-11-23T01:32:29.9460292Z ''')
2022-11-23T01:32:29.9460298Z 
2022-11-23T01:32:29.9460302Z 
2022-11-23T01:32:29.9460389Z async_compile.wait(globals())
2022-11-23T01:32:29.9460469Z del async_compile
2022-11-23T01:32:29.9460475Z 
2022-11-23T01:32:29.9460551Z def call(args):
2022-11-23T01:32:29.9460639Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9460720Z     args.clear()
2022-11-23T01:32:29.9460912Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9461052Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9461117Z     del arg0_1
2022-11-23T01:32:29.9461226Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T01:32:29.9461302Z     del arg1_1
2022-11-23T01:32:29.9461374Z     del arg2_1
2022-11-23T01:32:29.9461449Z     return (buf0, )
2022-11-23T01:32:29.9461455Z 
2022-11-23T01:32:29.9461459Z 
2022-11-23T01:32:29.9461540Z if __name__ == "__main__":
2022-11-23T01:32:29.9461661Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9461805Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9462022Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9462212Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9462405Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9462537Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9462542Z 
2022-11-23T01:32:29.9462613Z ok (1.574s)
2022-11-23T01:32:29.9462932Z   test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9463247Z [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9463467Z [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9463781Z [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9464054Z [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9464403Z [2022-11-23 01:24:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9464742Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9465058Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9465423Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:29.9465526Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9465628Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9465722Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9465823Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9465832Z 
2022-11-23T01:32:29.9465924Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9466023Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9466122Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9466231Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9466326Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9466422Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9466517Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9466604Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9466697Z               24 BUILD_LIST               3
2022-11-23T01:32:29.9466793Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9466887Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:29.9466982Z               30 CALL_METHOD              4
2022-11-23T01:32:29.9467062Z               32 POP_TOP
2022-11-23T01:32:29.9467067Z 
2022-11-23T01:32:29.9467160Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9467241Z               36 RETURN_VALUE
2022-11-23T01:32:29.9467299Z  
2022-11-23T01:32:29.9467304Z 
2022-11-23T01:32:29.9467619Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:29.9467832Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9468078Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9468358Z [2022-11-23 01:24:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9468596Z [2022-11-23 01:24:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9468904Z [2022-11-23 01:24:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:29.9469125Z [2022-11-23 01:24:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9469479Z [2022-11-23 01:24:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9469758Z [2022-11-23 01:24:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9470093Z [2022-11-23 01:24:27,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9470426Z [2022-11-23 01:24:27,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9470719Z [2022-11-23 01:24:27,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9471071Z [2022-11-23 01:24:27,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9471422Z [2022-11-23 01:24:27,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9471801Z [2022-11-23 01:24:27,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9472107Z [2022-11-23 01:24:27,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9472437Z [2022-11-23 01:24:27,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9472816Z [2022-11-23 01:24:27,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9473058Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9473365Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:29.9473567Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9473822Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9474191Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:29.9474446Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9474683Z [2022-11-23 01:24:27,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9474937Z [2022-11-23 01:24:27,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9475188Z [2022-11-23 01:24:27,644] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9475380Z [2022-11-23 01:24:27,644] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9475527Z  __compiled_fn_117 <eval_with_key>.733 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9475614Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9475708Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9475806Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9475898Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:29.9475998Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9476153Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T01:32:29.9476256Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9476262Z 
2022-11-23T01:32:29.9476588Z [2022-11-23 01:24:27,644] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9476682Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9476779Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9476873Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9477013Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9477111Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9477207Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9477313Z              12 RETURN_VALUE
2022-11-23T01:32:29.9477319Z 
2022-11-23T01:32:29.9477377Z  
2022-11-23T01:32:29.9477699Z [2022-11-23 01:24:27,644] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9477818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_117)
2022-11-23T01:32:29.9477917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9478015Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9478098Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9478194Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9478288Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9478363Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9478460Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9478553Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9478636Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9478734Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9478829Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:29.9478910Z              24 BINARY_SUBSCR
2022-11-23T01:32:29.9478997Z              26 CALL_FUNCTION            4
2022-11-23T01:32:29.9479095Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9479176Z              30 RETURN_VALUE
2022-11-23T01:32:29.9479181Z 
2022-11-23T01:32:29.9479246Z  
2022-11-23T01:32:29.9479434Z [2022-11-23 01:24:27,645] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9479511Z  - 
2022-11-23T01:32:29.9479635Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9479698Z             {
2022-11-23T01:32:29.9479846Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9480040Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:29.9480169Z                 'obj_weakref': None
2022-11-23T01:32:29.9480396Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9480469Z             }
2022-11-23T01:32:29.9480538Z             
2022-11-23T01:32:29.9480606Z  - 
2022-11-23T01:32:29.9480737Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9480806Z             {
2022-11-23T01:32:29.9480954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9481068Z                 'code': None,
2022-11-23T01:32:29.9481278Z                 'obj_weakref': <weakref at 0x7f2115af4680; to 'Tensor' at 0x7f2115e4c720>
2022-11-23T01:32:29.9481525Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9481588Z             }
2022-11-23T01:32:29.9481656Z             
2022-11-23T01:32:29.9481735Z  - 
2022-11-23T01:32:29.9481864Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9481933Z             {
2022-11-23T01:32:29.9482080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9482197Z                 'code': None,
2022-11-23T01:32:29.9482396Z                 'obj_weakref': <weakref at 0x7f20680bf830; to 'Tensor' at 0x7f2115c43830>
2022-11-23T01:32:29.9482642Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9482712Z             }
2022-11-23T01:32:29.9482781Z             
2022-11-23T01:32:29.9482858Z  - 
2022-11-23T01:32:29.9482986Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9483055Z             {
2022-11-23T01:32:29.9483193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9483306Z                 'code': None,
2022-11-23T01:32:29.9483516Z                 'obj_weakref': <weakref at 0x7f21276a6f20; to 'Tensor' at 0x7f206013a570>
2022-11-23T01:32:29.9483790Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9483865Z             }
2022-11-23T01:32:29.9483934Z             
2022-11-23T01:32:29.9484030Z  - 
2022-11-23T01:32:29.9484149Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:29.9484220Z             {
2022-11-23T01:32:29.9484365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9484477Z                 'code': None,
2022-11-23T01:32:29.9484684Z                 'obj_weakref': <weakref at 0x7f2115bef1f0; to 'Tensor' at 0x7f2060138860>
2022-11-23T01:32:29.9484936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9485005Z             }
2022-11-23T01:32:29.9485066Z             
2022-11-23T01:32:29.9485141Z  - 
2022-11-23T01:32:29.9485277Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:29.9485350Z             {
2022-11-23T01:32:29.9485493Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9485667Z                 'code': ['___check_obj_id(ex[4], 94768292517568)'],
2022-11-23T01:32:29.9485793Z                 'obj_weakref': None
2022-11-23T01:32:29.9486010Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9486082Z             }
2022-11-23T01:32:29.9486149Z             
2022-11-23T01:32:29.9486226Z  - 
2022-11-23T01:32:29.9486362Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9486432Z             {
2022-11-23T01:32:29.9486571Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9486739Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9486863Z                 'obj_weakref': None
2022-11-23T01:32:29.9487095Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9487163Z             }
2022-11-23T01:32:29.9487231Z             
2022-11-23T01:32:29.9487310Z  - 
2022-11-23T01:32:29.9487437Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9487498Z             {
2022-11-23T01:32:29.9487642Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9487869Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9487993Z                 'obj_weakref': None
2022-11-23T01:32:29.9488220Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9488293Z             }
2022-11-23T01:32:29.9488362Z             
2022-11-23T01:32:29.9488430Z  - 
2022-11-23T01:32:29.9488568Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9488637Z             {
2022-11-23T01:32:29.9488764Z                 'guard_types': None,
2022-11-23T01:32:29.9488876Z                 'code': None,
2022-11-23T01:32:29.9488999Z                 'obj_weakref': None
2022-11-23T01:32:29.9489126Z                 'guarded_class': None
2022-11-23T01:32:29.9489190Z             }
2022-11-23T01:32:29.9489264Z             
2022-11-23T01:32:29.9489525Z [2022-11-23 01:24:27,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115
2022-11-23T01:32:29.9489891Z [2022-11-23 01:24:29,176] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/he/cheg4ziuar3gypbpidy67zyvcv7i5z7cigux7wspqzcv5at7jxex.py
2022-11-23T01:32:29.9490157Z [2022-11-23 01:24:29,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115
2022-11-23T01:32:29.9490394Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9490706Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9490924Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9491199Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9491477Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9491818Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9492159Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9492474Z [2022-11-23 01:24:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9492842Z [2022-11-23 01:24:29,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:29.9492947Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9493050Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:29.9493146Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9493249Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9493254Z 
2022-11-23T01:32:29.9493347Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:29.9493446Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:29.9493544Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:29.9493652Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:29.9493749Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9493848Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:29.9493944Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9494032Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9494129Z               24 BUILD_LIST               3
2022-11-23T01:32:29.9494224Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:29.9494318Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:29.9494416Z               30 CALL_METHOD              4
2022-11-23T01:32:29.9494496Z               32 POP_TOP
2022-11-23T01:32:29.9494501Z 
2022-11-23T01:32:29.9494595Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9494678Z               36 RETURN_VALUE
2022-11-23T01:32:29.9494738Z  
2022-11-23T01:32:29.9494743Z 
2022-11-23T01:32:29.9495058Z [2022-11-23 01:24:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:29.9495269Z [2022-11-23 01:24:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9495515Z [2022-11-23 01:24:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:29.9495796Z [2022-11-23 01:24:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:29.9496035Z [2022-11-23 01:24:29,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9496344Z [2022-11-23 01:24:29,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:29.9496564Z [2022-11-23 01:24:29,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9496918Z [2022-11-23 01:24:29,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9497203Z [2022-11-23 01:24:29,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9497538Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9497799Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:29.9498118Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:29.9498448Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:29.9498947Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:29.9499399Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9499711Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9500045Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9500415Z [2022-11-23 01:24:29,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:29.9500655Z [2022-11-23 01:24:29,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9500963Z [2022-11-23 01:24:29,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:29.9501172Z [2022-11-23 01:24:29,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9501423Z [2022-11-23 01:24:29,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9501796Z [2022-11-23 01:24:29,190] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:29.9502045Z [2022-11-23 01:24:29,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9502281Z [2022-11-23 01:24:29,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9502534Z [2022-11-23 01:24:29,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9502783Z [2022-11-23 01:24:29,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9502978Z [2022-11-23 01:24:29,194] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9503118Z  __compiled_fn_118 <eval_with_key>.739 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9503206Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9503301Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9503395Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9503486Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:29.9503588Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:29.9503745Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T01:32:29.9503847Z output, output, output, ((clone,),), {}
2022-11-23T01:32:29.9503852Z 
2022-11-23T01:32:29.9504180Z [2022-11-23 01:24:29,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9504274Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9504374Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9504523Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9504628Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9504720Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9504844Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9504925Z              12 RETURN_VALUE
2022-11-23T01:32:29.9504931Z 
2022-11-23T01:32:29.9504989Z  
2022-11-23T01:32:29.9505322Z [2022-11-23 01:24:29,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9505439Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_118)
2022-11-23T01:32:29.9505538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9505635Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9505718Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9505814Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9505911Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9505986Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9506080Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9506173Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9506259Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9506356Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9506453Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:29.9506533Z              24 BINARY_SUBSCR
2022-11-23T01:32:29.9506620Z              26 CALL_FUNCTION            4
2022-11-23T01:32:29.9506716Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9506797Z              30 RETURN_VALUE
2022-11-23T01:32:29.9506802Z 
2022-11-23T01:32:29.9506871Z  
2022-11-23T01:32:29.9507059Z [2022-11-23 01:24:29,195] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9507136Z  - 
2022-11-23T01:32:29.9507260Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9507323Z             {
2022-11-23T01:32:29.9507471Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9507659Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:29.9507783Z                 'obj_weakref': None
2022-11-23T01:32:29.9508010Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9508081Z             }
2022-11-23T01:32:29.9508150Z             
2022-11-23T01:32:29.9508218Z  - 
2022-11-23T01:32:29.9508350Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9508421Z             {
2022-11-23T01:32:29.9508568Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9508678Z                 'code': None,
2022-11-23T01:32:29.9508888Z                 'obj_weakref': <weakref at 0x7f20680b11c0; to 'Tensor' at 0x7f2115e4c720>
2022-11-23T01:32:29.9509137Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9509200Z             }
2022-11-23T01:32:29.9509271Z             
2022-11-23T01:32:29.9509348Z  - 
2022-11-23T01:32:29.9509476Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9509545Z             {
2022-11-23T01:32:29.9509701Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9509815Z                 'code': None,
2022-11-23T01:32:29.9510012Z                 'obj_weakref': <weakref at 0x7f20680bec00; to 'Tensor' at 0x7f20606e6610>
2022-11-23T01:32:29.9510323Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9510399Z             }
2022-11-23T01:32:29.9510469Z             
2022-11-23T01:32:29.9510547Z  - 
2022-11-23T01:32:29.9510677Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9510747Z             {
2022-11-23T01:32:29.9510884Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9510996Z                 'code': None,
2022-11-23T01:32:29.9511241Z                 'obj_weakref': <weakref at 0x7f207277ee30; to 'Tensor' at 0x7f2060156980>
2022-11-23T01:32:29.9511484Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9511580Z             }
2022-11-23T01:32:29.9511653Z             
2022-11-23T01:32:29.9511729Z  - 
2022-11-23T01:32:29.9511848Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:29.9511919Z             {
2022-11-23T01:32:29.9512063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9512176Z                 'code': None,
2022-11-23T01:32:29.9512380Z                 'obj_weakref': <weakref at 0x7f206070c680; to 'Tensor' at 0x7f2060155940>
2022-11-23T01:32:29.9512627Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9512696Z             }
2022-11-23T01:32:29.9512757Z             
2022-11-23T01:32:29.9512835Z  - 
2022-11-23T01:32:29.9512972Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:29.9513045Z             {
2022-11-23T01:32:29.9513185Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9513357Z                 'code': ['___check_obj_id(ex[4], 94768292517600)'],
2022-11-23T01:32:29.9513486Z                 'obj_weakref': None
2022-11-23T01:32:29.9513701Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:29.9513771Z             }
2022-11-23T01:32:29.9513839Z             
2022-11-23T01:32:29.9513916Z  - 
2022-11-23T01:32:29.9514051Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9514120Z             {
2022-11-23T01:32:29.9514262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9514430Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9514558Z                 'obj_weakref': None
2022-11-23T01:32:29.9514789Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9514859Z             }
2022-11-23T01:32:29.9514931Z             
2022-11-23T01:32:29.9515008Z  - 
2022-11-23T01:32:29.9515136Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9515198Z             {
2022-11-23T01:32:29.9515345Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9515568Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9515693Z                 'obj_weakref': None
2022-11-23T01:32:29.9515918Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9515987Z             }
2022-11-23T01:32:29.9516057Z             
2022-11-23T01:32:29.9516124Z  - 
2022-11-23T01:32:29.9516262Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9516330Z             {
2022-11-23T01:32:29.9516456Z                 'guard_types': None,
2022-11-23T01:32:29.9516571Z                 'code': None,
2022-11-23T01:32:29.9516697Z                 'obj_weakref': None
2022-11-23T01:32:29.9516830Z                 'guarded_class': None
2022-11-23T01:32:29.9516892Z             }
2022-11-23T01:32:29.9516960Z             
2022-11-23T01:32:29.9517223Z [2022-11-23 01:24:29,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116
2022-11-23T01:32:29.9517595Z [2022-11-23 01:24:29,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ja/cjafjerh4iai77fpzjzzfeelnnfbj5fe2ashrflux4hqd55tktxn.py
2022-11-23T01:32:29.9517860Z [2022-11-23 01:24:29,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116
2022-11-23T01:32:29.9517866Z 
2022-11-23T01:32:29.9517967Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9518044Z import torch
2022-11-23T01:32:29.9518112Z import random
2022-11-23T01:32:29.9518234Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9518365Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9518370Z 
2022-11-23T01:32:29.9518455Z aten = torch.ops.aten
2022-11-23T01:32:29.9518628Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9518729Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9518734Z 
2022-11-23T01:32:29.9518833Z import triton
2022-11-23T01:32:29.9518926Z import triton.language as tl
2022-11-23T01:32:29.9519046Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9519188Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9519194Z 
2022-11-23T01:32:29.9519199Z 
2022-11-23T01:32:29.9519339Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9519550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9519676Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9519783Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9519850Z {
2022-11-23T01:32:29.9519934Z     #pragma GCC ivdep
2022-11-23T01:32:29.9520013Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:29.9520083Z     {
2022-11-23T01:32:29.9520153Z         {
2022-11-23T01:32:29.9520224Z             {
2022-11-23T01:32:29.9520318Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9520410Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9520472Z             }
2022-11-23T01:32:29.9520540Z         }
2022-11-23T01:32:29.9520609Z     }
2022-11-23T01:32:29.9520675Z }
2022-11-23T01:32:29.9520761Z ''')
2022-11-23T01:32:29.9520766Z 
2022-11-23T01:32:29.9520771Z 
2022-11-23T01:32:29.9520865Z async_compile.wait(globals())
2022-11-23T01:32:29.9520944Z del async_compile
2022-11-23T01:32:29.9520950Z 
2022-11-23T01:32:29.9521025Z def call(args):
2022-11-23T01:32:29.9521113Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:29.9521190Z     args.clear()
2022-11-23T01:32:29.9521394Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9521535Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9521612Z     del arg0_1
2022-11-23T01:32:29.9521739Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T01:32:29.9521816Z     del arg1_1
2022-11-23T01:32:29.9521883Z     del arg2_1
2022-11-23T01:32:29.9521959Z     del arg3_1
2022-11-23T01:32:29.9522036Z     return (buf0, )
2022-11-23T01:32:29.9522041Z 
2022-11-23T01:32:29.9522046Z 
2022-11-23T01:32:29.9522129Z if __name__ == "__main__":
2022-11-23T01:32:29.9522248Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9522379Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9522586Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9522770Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9522957Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9523145Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9523281Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:29.9523287Z 
2022-11-23T01:32:29.9523291Z 
2022-11-23T01:32:29.9523389Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9523469Z import torch
2022-11-23T01:32:29.9523547Z import random
2022-11-23T01:32:29.9523669Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9523788Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9523801Z 
2022-11-23T01:32:29.9523877Z aten = torch.ops.aten
2022-11-23T01:32:29.9524016Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9524113Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9524118Z 
2022-11-23T01:32:29.9524193Z import triton
2022-11-23T01:32:29.9524289Z import triton.language as tl
2022-11-23T01:32:29.9524416Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9524558Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9524563Z 
2022-11-23T01:32:29.9524608Z 
2022-11-23T01:32:29.9524741Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9524950Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9525100Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9525208Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9525275Z {
2022-11-23T01:32:29.9525357Z     #pragma GCC ivdep
2022-11-23T01:32:29.9525445Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:29.9525504Z     {
2022-11-23T01:32:29.9525576Z         {
2022-11-23T01:32:29.9525645Z             {
2022-11-23T01:32:29.9525740Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9525829Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:29.9525898Z             }
2022-11-23T01:32:29.9525967Z         }
2022-11-23T01:32:29.9526027Z     }
2022-11-23T01:32:29.9526092Z }
2022-11-23T01:32:29.9526181Z ''')
2022-11-23T01:32:29.9526187Z 
2022-11-23T01:32:29.9526191Z 
2022-11-23T01:32:29.9526288Z async_compile.wait(globals())
2022-11-23T01:32:29.9526365Z del async_compile
2022-11-23T01:32:29.9526371Z 
2022-11-23T01:32:29.9526448Z def call(args):
2022-11-23T01:32:29.9526543Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:29.9526616Z     args.clear()
2022-11-23T01:32:29.9526820Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9526963Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9527040Z     del arg0_1
2022-11-23T01:32:29.9527166Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T01:32:29.9527240Z     del arg1_1
2022-11-23T01:32:29.9527313Z     del arg2_1
2022-11-23T01:32:29.9527378Z     del arg3_1
2022-11-23T01:32:29.9527457Z     return (buf0, )
2022-11-23T01:32:29.9527462Z 
2022-11-23T01:32:29.9527467Z 
2022-11-23T01:32:29.9527549Z if __name__ == "__main__":
2022-11-23T01:32:29.9527670Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9527803Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9528008Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9528199Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9528384Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9528563Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9528698Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:29.9528703Z 
2022-11-23T01:32:29.9528775Z ok (1.582s)
2022-11-23T01:32:29.9529087Z   test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9529399Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9529621Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9529876Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9530155Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9530469Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9530814Z [2022-11-23 01:24:29,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9531125Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9531524Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:29.9531631Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9531767Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9531867Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9531964Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9532061Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9532155Z               10 CALL_METHOD              3
2022-11-23T01:32:29.9532161Z 
2022-11-23T01:32:29.9532253Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9532365Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9532461Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9532555Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9532653Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9532748Z               22 CALL_METHOD              3
2022-11-23T01:32:29.9532754Z 
2022-11-23T01:32:29.9532854Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9532963Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9533055Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9533169Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9533264Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9533360Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9533453Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9533546Z               38 CALL_METHOD              3
2022-11-23T01:32:29.9533640Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9533726Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9533821Z               44 CALL_METHOD              3
2022-11-23T01:32:29.9533829Z 
2022-11-23T01:32:29.9533922Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:29.9534004Z               48 RETURN_VALUE
2022-11-23T01:32:29.9534070Z  
2022-11-23T01:32:29.9534078Z 
2022-11-23T01:32:29.9534395Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:29.9534614Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9534982Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9535313Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9535658Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9536042Z [2022-11-23 01:24:29,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9536466Z [2022-11-23 01:24:29,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9536775Z [2022-11-23 01:24:29,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:29.9537025Z [2022-11-23 01:24:29,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.9537448Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9537797Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9538195Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9538605Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9539264Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9539583Z [2022-11-23 01:24:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:29.9539860Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9540281Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9540668Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9541203Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9541696Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9542209Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9542757Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9543331Z [2022-11-23 01:24:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9543720Z [2022-11-23 01:24:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9544208Z [2022-11-23 01:24:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9544681Z [2022-11-23 01:24:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9545022Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:29.9545320Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9545571Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9545951Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:29.9546202Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9546446Z [2022-11-23 01:24:29,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9546707Z [2022-11-23 01:24:29,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9546960Z [2022-11-23 01:24:29,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9547152Z [2022-11-23 01:24:29,222] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9547283Z  __compiled_fn_119 <eval_with_key>.745 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9547381Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9547478Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9547744Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:29.9548009Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:29.9548268Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:29.9548545Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:29.9548695Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:29.9548700Z 
2022-11-23T01:32:29.9549029Z [2022-11-23 01:24:29,222] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9549123Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9549221Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9549318Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9549422Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9549516Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9549614Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9549695Z              12 RETURN_VALUE
2022-11-23T01:32:29.9549700Z 
2022-11-23T01:32:29.9549759Z  
2022-11-23T01:32:29.9550083Z [2022-11-23 01:24:29,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9550199Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_119)
2022-11-23T01:32:29.9550380Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9550486Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9550572Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9550669Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9550846Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9550923Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9551019Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.9551132Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9551266Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9551363Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9551445Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9551554Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9551643Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9551726Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9551834Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9551928Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9552009Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9552102Z              36 BUILD_TUPLE              3
2022-11-23T01:32:29.9552188Z              38 RETURN_VALUE
2022-11-23T01:32:29.9552194Z 
2022-11-23T01:32:29.9552253Z  
2022-11-23T01:32:29.9552441Z [2022-11-23 01:24:29,223] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9552518Z  - 
2022-11-23T01:32:29.9552652Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9552722Z             {
2022-11-23T01:32:29.9552868Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9553057Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.9553175Z                 'obj_weakref': None
2022-11-23T01:32:29.9553399Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9553470Z             }
2022-11-23T01:32:29.9553539Z             
2022-11-23T01:32:29.9553614Z  - 
2022-11-23T01:32:29.9553746Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9553814Z             {
2022-11-23T01:32:29.9553953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9554066Z                 'code': None,
2022-11-23T01:32:29.9554277Z                 'obj_weakref': <weakref at 0x7f20682c67a0; to 'Tensor' at 0x7f2115bece50>
2022-11-23T01:32:29.9554526Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9554599Z             }
2022-11-23T01:32:29.9554668Z             
2022-11-23T01:32:29.9554745Z  - 
2022-11-23T01:32:29.9554865Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9554936Z             {
2022-11-23T01:32:29.9555083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9555196Z                 'code': None,
2022-11-23T01:32:29.9555403Z                 'obj_weakref': <weakref at 0x7f20682c5800; to 'Tensor' at 0x7f2151eec8b0>
2022-11-23T01:32:29.9555648Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9555718Z             }
2022-11-23T01:32:29.9555779Z             
2022-11-23T01:32:29.9555858Z  - 
2022-11-23T01:32:29.9555995Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9556064Z             {
2022-11-23T01:32:29.9556205Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9556385Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9556509Z                 'obj_weakref': None
2022-11-23T01:32:29.9556731Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9556803Z             }
2022-11-23T01:32:29.9556873Z             
2022-11-23T01:32:29.9556950Z  - 
2022-11-23T01:32:29.9557075Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9557145Z             {
2022-11-23T01:32:29.9557287Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9557501Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9557625Z                 'obj_weakref': None
2022-11-23T01:32:29.9557879Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9557954Z             }
2022-11-23T01:32:29.9558025Z             
2022-11-23T01:32:29.9558127Z  - 
2022-11-23T01:32:29.9558265Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9558327Z             {
2022-11-23T01:32:29.9558451Z                 'guard_types': None,
2022-11-23T01:32:29.9558564Z                 'code': None,
2022-11-23T01:32:29.9558687Z                 'obj_weakref': None
2022-11-23T01:32:29.9558812Z                 'guarded_class': None
2022-11-23T01:32:29.9558883Z             }
2022-11-23T01:32:29.9558953Z             
2022-11-23T01:32:29.9559207Z [2022-11-23 01:24:29,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117
2022-11-23T01:32:29.9559569Z [2022-11-23 01:24:30,843] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iy/ciyhrmgvp2h3mp4ugajspojrlt2m3zev7pcfmag57mzs6gps42nj.py
2022-11-23T01:32:29.9559834Z [2022-11-23 01:24:30,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117
2022-11-23T01:32:29.9560071Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9560389Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9560607Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9560859Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9561137Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9561453Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9561793Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9562118Z [2022-11-23 01:24:30,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9562493Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:29.9562598Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9562710Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9562810Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9562909Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9563007Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9563107Z               10 CALL_METHOD              3
2022-11-23T01:32:29.9563113Z 
2022-11-23T01:32:29.9563206Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9563313Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9563412Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9563507Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9563603Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9563696Z               22 CALL_METHOD              3
2022-11-23T01:32:29.9563702Z 
2022-11-23T01:32:29.9563800Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9563907Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9564000Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9564109Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:29.9564206Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9564334Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9564429Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9564524Z               38 CALL_METHOD              3
2022-11-23T01:32:29.9564642Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9564727Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9564819Z               44 CALL_METHOD              3
2022-11-23T01:32:29.9564824Z 
2022-11-23T01:32:29.9564918Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:29.9565000Z               48 RETURN_VALUE
2022-11-23T01:32:29.9565066Z  
2022-11-23T01:32:29.9565071Z 
2022-11-23T01:32:29.9565391Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:29.9565617Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9565997Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9566330Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9566678Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9567059Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9567478Z [2022-11-23 01:24:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9567789Z [2022-11-23 01:24:30,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:29.9568039Z [2022-11-23 01:24:30,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:29.9568436Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9568784Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9569163Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9569572Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9570016Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9570324Z [2022-11-23 01:24:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:29.9570600Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9571073Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9571468Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9572039Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9572530Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9573047Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9573589Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9574164Z [2022-11-23 01:24:30,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9574565Z [2022-11-23 01:24:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9575003Z [2022-11-23 01:24:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9575471Z [2022-11-23 01:24:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9575780Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:29.9576079Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9576325Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9576701Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:29.9576945Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9577184Z [2022-11-23 01:24:30,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9577440Z [2022-11-23 01:24:30,854] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9577717Z [2022-11-23 01:24:30,857] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9577902Z [2022-11-23 01:24:30,858] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9578042Z  __compiled_fn_120 <eval_with_key>.751 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9578163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9578256Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9578522Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:29.9578785Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:29.9579275Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:29.9579572Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:29.9579726Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:29.9579733Z 
2022-11-23T01:32:29.9580056Z [2022-11-23 01:24:30,858] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9580163Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9580262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9580355Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9580456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9580549Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9580645Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9580728Z              12 RETURN_VALUE
2022-11-23T01:32:29.9580733Z 
2022-11-23T01:32:29.9580793Z  
2022-11-23T01:32:29.9581120Z [2022-11-23 01:24:30,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9581239Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_120)
2022-11-23T01:32:29.9581337Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9581434Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9581521Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9581616Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9581703Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9581785Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9581879Z              14 CALL_FUNCTION            2
2022-11-23T01:32:29.9581993Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9588668Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9588791Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9588877Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9588982Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9589085Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9589170Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9589284Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9589384Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9589465Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9589560Z              36 BUILD_TUPLE              3
2022-11-23T01:32:29.9589635Z              38 RETURN_VALUE
2022-11-23T01:32:29.9589648Z 
2022-11-23T01:32:29.9589707Z  
2022-11-23T01:32:29.9589916Z [2022-11-23 01:24:30,859] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9589994Z  - 
2022-11-23T01:32:29.9590122Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9590196Z             {
2022-11-23T01:32:29.9590440Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9590637Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:29.9590756Z                 'obj_weakref': None
2022-11-23T01:32:29.9591065Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9591138Z             }
2022-11-23T01:32:29.9591209Z             
2022-11-23T01:32:29.9591320Z  - 
2022-11-23T01:32:29.9591453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9591524Z             {
2022-11-23T01:32:29.9591666Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9591781Z                 'code': None,
2022-11-23T01:32:29.9591996Z                 'obj_weakref': <weakref at 0x7f206070c180; to 'Tensor' at 0x7f2151eec8b0>
2022-11-23T01:32:29.9592249Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9592319Z             }
2022-11-23T01:32:29.9592389Z             
2022-11-23T01:32:29.9592465Z  - 
2022-11-23T01:32:29.9592586Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9592655Z             {
2022-11-23T01:32:29.9592805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9592921Z                 'code': None,
2022-11-23T01:32:29.9593124Z                 'obj_weakref': <weakref at 0x7f20606e6610; to 'Tensor' at 0x7f2023208540>
2022-11-23T01:32:29.9593372Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9593441Z             }
2022-11-23T01:32:29.9593502Z             
2022-11-23T01:32:29.9593581Z  - 
2022-11-23T01:32:29.9593721Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9593790Z             {
2022-11-23T01:32:29.9593932Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9594112Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9594238Z                 'obj_weakref': None
2022-11-23T01:32:29.9594466Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9594536Z             }
2022-11-23T01:32:29.9594605Z             
2022-11-23T01:32:29.9594686Z  - 
2022-11-23T01:32:29.9594813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9594883Z             {
2022-11-23T01:32:29.9595019Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9595245Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9595369Z                 'obj_weakref': None
2022-11-23T01:32:29.9595594Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9595663Z             }
2022-11-23T01:32:29.9595735Z             
2022-11-23T01:32:29.9595810Z  - 
2022-11-23T01:32:29.9595950Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9596012Z             {
2022-11-23T01:32:29.9596136Z                 'guard_types': None,
2022-11-23T01:32:29.9596252Z                 'code': None,
2022-11-23T01:32:29.9596376Z                 'obj_weakref': None
2022-11-23T01:32:29.9596502Z                 'guarded_class': None
2022-11-23T01:32:29.9596575Z             }
2022-11-23T01:32:29.9596636Z             
2022-11-23T01:32:29.9596903Z [2022-11-23 01:24:30,868] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118
2022-11-23T01:32:29.9597273Z [2022-11-23 01:24:32,475] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwicxc5tlbt3qike3rovyquexr7bagbxenprcoj3xktawhwcnz45.py
2022-11-23T01:32:29.9597541Z [2022-11-23 01:24:32,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118
2022-11-23T01:32:29.9597547Z 
2022-11-23T01:32:29.9597647Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9597723Z import torch
2022-11-23T01:32:29.9597796Z import random
2022-11-23T01:32:29.9597919Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9598040Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9598055Z 
2022-11-23T01:32:29.9598132Z aten = torch.ops.aten
2022-11-23T01:32:29.9598309Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9598411Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9598416Z 
2022-11-23T01:32:29.9598493Z import triton
2022-11-23T01:32:29.9598615Z import triton.language as tl
2022-11-23T01:32:29.9598746Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9598893Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9598899Z 
2022-11-23T01:32:29.9598904Z 
2022-11-23T01:32:29.9599045Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9599252Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9599377Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:29.9599494Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9599606Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9599711Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9599816Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9599884Z {
2022-11-23T01:32:29.9599983Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9600051Z     {
2022-11-23T01:32:29.9600155Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9600245Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9600317Z         {
2022-11-23T01:32:29.9600412Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.9600483Z             {
2022-11-23T01:32:29.9600547Z                 {
2022-11-23T01:32:29.9600620Z                     {
2022-11-23T01:32:29.9600725Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9600840Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:29.9600945Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:29.9601022Z                     }
2022-11-23T01:32:29.9601085Z                 }
2022-11-23T01:32:29.9601155Z             }
2022-11-23T01:32:29.9601226Z         }
2022-11-23T01:32:29.9601312Z         #pragma omp for 
2022-11-23T01:32:29.9601401Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9601470Z         {
2022-11-23T01:32:29.9601558Z             #pragma GCC ivdep
2022-11-23T01:32:29.9601644Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9601713Z             {
2022-11-23T01:32:29.9601802Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9601904Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:29.9601976Z                 {
2022-11-23T01:32:29.9602048Z                     {
2022-11-23T01:32:29.9602122Z                         {
2022-11-23T01:32:29.9602218Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9602339Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:29.9602454Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:29.9602531Z                         }
2022-11-23T01:32:29.9602604Z                     }
2022-11-23T01:32:29.9602678Z                 }
2022-11-23T01:32:29.9602747Z             }
2022-11-23T01:32:29.9602808Z         }
2022-11-23T01:32:29.9602894Z         #pragma omp for 
2022-11-23T01:32:29.9602983Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9603054Z         {
2022-11-23T01:32:29.9603140Z             #pragma GCC ivdep
2022-11-23T01:32:29.9603231Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9603293Z             {
2022-11-23T01:32:29.9603380Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9603476Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:29.9603548Z                 {
2022-11-23T01:32:29.9603622Z                     {
2022-11-23T01:32:29.9603695Z                         {
2022-11-23T01:32:29.9603801Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9603895Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:32:29.9604022Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:29.9604170Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:32:29.9604246Z                         }
2022-11-23T01:32:29.9604321Z                     }
2022-11-23T01:32:29.9604393Z                 }
2022-11-23T01:32:29.9604492Z             }
2022-11-23T01:32:29.9604553Z         }
2022-11-23T01:32:29.9604621Z     }
2022-11-23T01:32:29.9604689Z }
2022-11-23T01:32:29.9604778Z ''')
2022-11-23T01:32:29.9604783Z 
2022-11-23T01:32:29.9604788Z 
2022-11-23T01:32:29.9604885Z async_compile.wait(globals())
2022-11-23T01:32:29.9604967Z del async_compile
2022-11-23T01:32:29.9604972Z 
2022-11-23T01:32:29.9605051Z def call(args):
2022-11-23T01:32:29.9605131Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.9605201Z     args.clear()
2022-11-23T01:32:29.9605413Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9605616Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9605817Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9606046Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9606125Z     del arg0_1
2022-11-23T01:32:29.9606202Z     del arg1_1
2022-11-23T01:32:29.9606286Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9606291Z 
2022-11-23T01:32:29.9606304Z 
2022-11-23T01:32:29.9606380Z if __name__ == "__main__":
2022-11-23T01:32:29.9606501Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9606636Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9606842Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9607036Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:29.9607159Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.9607165Z 
2022-11-23T01:32:29.9607169Z 
2022-11-23T01:32:29.9607271Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9607347Z import torch
2022-11-23T01:32:29.9607416Z import random
2022-11-23T01:32:29.9607538Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9607668Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9607673Z 
2022-11-23T01:32:29.9607757Z aten = torch.ops.aten
2022-11-23T01:32:29.9607898Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9607997Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9608002Z 
2022-11-23T01:32:29.9608077Z import triton
2022-11-23T01:32:29.9608163Z import triton.language as tl
2022-11-23T01:32:29.9608294Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9608439Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9608444Z 
2022-11-23T01:32:29.9608449Z 
2022-11-23T01:32:29.9608588Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9608800Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9608925Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9609039Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9609151Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9609248Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9609351Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9609418Z {
2022-11-23T01:32:29.9609522Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9609593Z     {
2022-11-23T01:32:29.9609693Z         #pragma omp for  collapse(2)
2022-11-23T01:32:29.9609783Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:29.9609845Z         {
2022-11-23T01:32:29.9609937Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:29.9610010Z             {
2022-11-23T01:32:29.9610080Z                 {
2022-11-23T01:32:29.9610154Z                     {
2022-11-23T01:32:29.9610286Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9610402Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:29.9610500Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:29.9610595Z                     }
2022-11-23T01:32:29.9610666Z                 }
2022-11-23T01:32:29.9610735Z             }
2022-11-23T01:32:29.9610806Z         }
2022-11-23T01:32:29.9610890Z         #pragma omp for 
2022-11-23T01:32:29.9610972Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9611041Z         {
2022-11-23T01:32:29.9611130Z             #pragma GCC ivdep
2022-11-23T01:32:29.9611221Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9611291Z             {
2022-11-23T01:32:29.9611381Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9611476Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:29.9611539Z                 {
2022-11-23T01:32:29.9611613Z                     {
2022-11-23T01:32:29.9611689Z                         {
2022-11-23T01:32:29.9611794Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9611918Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:29.9612034Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:29.9612109Z                         }
2022-11-23T01:32:29.9612174Z                     }
2022-11-23T01:32:29.9612245Z                 }
2022-11-23T01:32:29.9612313Z             }
2022-11-23T01:32:29.9612381Z         }
2022-11-23T01:32:29.9612465Z         #pragma omp for 
2022-11-23T01:32:29.9612556Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9612625Z         {
2022-11-23T01:32:29.9612704Z             #pragma GCC ivdep
2022-11-23T01:32:29.9612794Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:29.9612864Z             {
2022-11-23T01:32:29.9612953Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9613049Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:29.9613124Z                 {
2022-11-23T01:32:29.9613189Z                     {
2022-11-23T01:32:29.9613264Z                         {
2022-11-23T01:32:29.9613366Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:29.9613470Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:32:29.9613596Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:29.9613710Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:32:29.9613787Z                         }
2022-11-23T01:32:29.9613862Z                     }
2022-11-23T01:32:29.9613925Z                 }
2022-11-23T01:32:29.9613994Z             }
2022-11-23T01:32:29.9614062Z         }
2022-11-23T01:32:29.9614131Z     }
2022-11-23T01:32:29.9614198Z }
2022-11-23T01:32:29.9614287Z ''')
2022-11-23T01:32:29.9614293Z 
2022-11-23T01:32:29.9614298Z 
2022-11-23T01:32:29.9614396Z async_compile.wait(globals())
2022-11-23T01:32:29.9614467Z del async_compile
2022-11-23T01:32:29.9614473Z 
2022-11-23T01:32:29.9614552Z def call(args):
2022-11-23T01:32:29.9614634Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.9614714Z     args.clear()
2022-11-23T01:32:29.9614921Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9615124Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9615322Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9615533Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9615609Z     del arg0_1
2022-11-23T01:32:29.9615683Z     del arg1_1
2022-11-23T01:32:29.9615772Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9615777Z 
2022-11-23T01:32:29.9615782Z 
2022-11-23T01:32:29.9615865Z if __name__ == "__main__":
2022-11-23T01:32:29.9615990Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9616150Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9616362Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9616570Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9616694Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.9616699Z 
2022-11-23T01:32:29.9616772Z ok (3.268s)
2022-11-23T01:32:29.9617108Z   test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9617424Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9617646Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9617908Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9618190Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9618508Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9618988Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9619310Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9619679Z [2022-11-23 01:24:32,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316> 
2022-11-23T01:32:29.9619787Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9619893Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:29.9619995Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T01:32:29.9620095Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9620197Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T01:32:29.9620292Z               10 CALL_METHOD              3
2022-11-23T01:32:29.9620385Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T01:32:29.9620465Z               14 BINARY_ADD
2022-11-23T01:32:29.9620553Z               16 RETURN_VALUE
2022-11-23T01:32:29.9620621Z  
2022-11-23T01:32:29.9620626Z 
2022-11-23T01:32:29.9620938Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317
2022-11-23T01:32:29.9621159Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9621533Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9621862Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9622205Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9622583Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9623047Z [2022-11-23 01:24:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:29.9623300Z [2022-11-23 01:24:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T01:32:29.9623604Z [2022-11-23 01:24:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9623852Z [2022-11-23 01:24:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9624224Z [2022-11-23 01:24:32,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316>
2022-11-23T01:32:29.9624470Z [2022-11-23 01:24:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9624710Z [2022-11-23 01:24:32,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9624968Z [2022-11-23 01:24:32,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9625221Z [2022-11-23 01:24:32,525] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9625411Z [2022-11-23 01:24:32,525] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9625557Z  __compiled_fn_121 <eval_with_key>.757 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9625653Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9625748Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9625840Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9626088Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (ex_1_, 0, ex_2_), {}
2022-11-23T01:32:29.9626276Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T01:32:29.9626377Z output, output, output, ((add,),), {}
2022-11-23T01:32:29.9626382Z 
2022-11-23T01:32:29.9626698Z [2022-11-23 01:24:32,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9626803Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9626908Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9627005Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9627106Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9627201Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9627297Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9627379Z              12 RETURN_VALUE
2022-11-23T01:32:29.9627385Z 
2022-11-23T01:32:29.9627444Z  
2022-11-23T01:32:29.9627766Z [2022-11-23 01:24:32,526] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9627882Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_121)
2022-11-23T01:32:29.9627984Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9628081Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9628164Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9628260Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9628349Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9628432Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9628526Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9628622Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9628704Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9628798Z              20 CALL_FUNCTION            3
2022-11-23T01:32:29.9628895Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9628969Z              24 RETURN_VALUE
2022-11-23T01:32:29.9628982Z 
2022-11-23T01:32:29.9629042Z  
2022-11-23T01:32:29.9629229Z [2022-11-23 01:24:32,526] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9629307Z  - 
2022-11-23T01:32:29.9629463Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9629536Z             {
2022-11-23T01:32:29.9629684Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9629874Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:29.9630013Z                 'obj_weakref': None
2022-11-23T01:32:29.9630238Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9630382Z             }
2022-11-23T01:32:29.9630466Z             
2022-11-23T01:32:29.9630559Z  - 
2022-11-23T01:32:29.9630711Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9630774Z             {
2022-11-23T01:32:29.9630924Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9631038Z                 'code': None,
2022-11-23T01:32:29.9631251Z                 'obj_weakref': <weakref at 0x7f20680b0630; to 'Tensor' at 0x7f20606e71f0>
2022-11-23T01:32:29.9631504Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9631574Z             }
2022-11-23T01:32:29.9631643Z             
2022-11-23T01:32:29.9631721Z  - 
2022-11-23T01:32:29.9631843Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9631916Z             {
2022-11-23T01:32:29.9632063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9632178Z                 'code': None,
2022-11-23T01:32:29.9632387Z                 'obj_weakref': <weakref at 0x7f20681b72e0; to 'Tensor' at 0x7f20606e4c70>
2022-11-23T01:32:29.9632638Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9632708Z             }
2022-11-23T01:32:29.9632770Z             
2022-11-23T01:32:29.9632847Z  - 
2022-11-23T01:32:29.9632974Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9633044Z             {
2022-11-23T01:32:29.9633191Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9633312Z                 'code': None,
2022-11-23T01:32:29.9633519Z                 'obj_weakref': <weakref at 0x7f20681b54e0; to 'Tensor' at 0x7f2115e4c720>
2022-11-23T01:32:29.9633753Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9633830Z             }
2022-11-23T01:32:29.9633902Z             
2022-11-23T01:32:29.9633979Z  - 
2022-11-23T01:32:29.9634115Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9634185Z             {
2022-11-23T01:32:29.9634325Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9634494Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9634620Z                 'obj_weakref': None
2022-11-23T01:32:29.9634847Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9634917Z             }
2022-11-23T01:32:29.9634986Z             
2022-11-23T01:32:29.9635065Z  - 
2022-11-23T01:32:29.9635195Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9635257Z             {
2022-11-23T01:32:29.9635398Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9635620Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9635748Z                 'obj_weakref': None
2022-11-23T01:32:29.9635976Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9636047Z             }
2022-11-23T01:32:29.9636117Z             
2022-11-23T01:32:29.9636185Z  - 
2022-11-23T01:32:29.9636325Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9636397Z             {
2022-11-23T01:32:29.9636521Z                 'guard_types': None,
2022-11-23T01:32:29.9636635Z                 'code': None,
2022-11-23T01:32:29.9636759Z                 'obj_weakref': None
2022-11-23T01:32:29.9636877Z                 'guarded_class': None
2022-11-23T01:32:29.9636951Z             }
2022-11-23T01:32:29.9637056Z             
2022-11-23T01:32:29.9637321Z [2022-11-23 01:24:32,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119
2022-11-23T01:32:29.9637686Z [2022-11-23 01:24:34,063] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwh4pxbww2zec52wdfwpbxixue5xsadvc7du62x7izn3pzom6uf6.py
2022-11-23T01:32:29.9637978Z [2022-11-23 01:24:34,063] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119
2022-11-23T01:32:29.9637984Z 
2022-11-23T01:32:29.9638084Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9638159Z import torch
2022-11-23T01:32:29.9638227Z import random
2022-11-23T01:32:29.9638351Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9638479Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9638485Z 
2022-11-23T01:32:29.9638568Z aten = torch.ops.aten
2022-11-23T01:32:29.9638708Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9638810Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9638815Z 
2022-11-23T01:32:29.9638893Z import triton
2022-11-23T01:32:29.9638987Z import triton.language as tl
2022-11-23T01:32:29.9639112Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9639256Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9639261Z 
2022-11-23T01:32:29.9639266Z 
2022-11-23T01:32:29.9639405Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9639616Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9639741Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9639853Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:29.9639962Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:29.9640070Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9640130Z {
2022-11-23T01:32:29.9640237Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9640306Z     {
2022-11-23T01:32:29.9640390Z         #pragma omp for 
2022-11-23T01:32:29.9640479Z         for(long i0=0; i0<21; i0+=1)
2022-11-23T01:32:29.9640552Z         {
2022-11-23T01:32:29.9640640Z             #pragma GCC ivdep
2022-11-23T01:32:29.9640725Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:29.9640795Z             {
2022-11-23T01:32:29.9640865Z                 {
2022-11-23T01:32:29.9640937Z                     {
2022-11-23T01:32:29.9641049Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:29.9641151Z                         auto tmp2 = in_ptr2[i1];
2022-11-23T01:32:29.9641261Z                         auto tmp1 = in_ptr1[i0 + (512*tmp0)];
2022-11-23T01:32:29.9641366Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:29.9641470Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:29.9641544Z                     }
2022-11-23T01:32:29.9641615Z                 }
2022-11-23T01:32:29.9641690Z             }
2022-11-23T01:32:29.9641758Z         }
2022-11-23T01:32:29.9641818Z     }
2022-11-23T01:32:29.9641889Z }
2022-11-23T01:32:29.9641977Z ''')
2022-11-23T01:32:29.9641982Z 
2022-11-23T01:32:29.9641989Z 
2022-11-23T01:32:29.9642086Z async_compile.wait(globals())
2022-11-23T01:32:29.9642167Z del async_compile
2022-11-23T01:32:29.9642172Z 
2022-11-23T01:32:29.9642251Z def call(args):
2022-11-23T01:32:29.9642341Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:29.9642422Z     args.clear()
2022-11-23T01:32:29.9642621Z     buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9642818Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9642895Z     del arg0_1
2022-11-23T01:32:29.9642970Z     del arg1_1
2022-11-23T01:32:29.9643044Z     del arg2_1
2022-11-23T01:32:29.9643121Z     return (buf0, )
2022-11-23T01:32:29.9643126Z 
2022-11-23T01:32:29.9643131Z 
2022-11-23T01:32:29.9643243Z if __name__ == "__main__":
2022-11-23T01:32:29.9643357Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9643487Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9643720Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9643931Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9644133Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9644264Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:29.9644269Z 
2022-11-23T01:32:29.9644343Z ok (1.588s)
2022-11-23T01:32:29.9644645Z   test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9644968Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9645183Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9645442Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9645729Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9646049Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9646394Z [2022-11-23 01:24:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9646718Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9647088Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753> 
2022-11-23T01:32:29.9647196Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9647298Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:29.9647434Z                4 LOAD_CONST               1 ('inf')
2022-11-23T01:32:29.9647536Z                6 CALL_FUNCTION            1
2022-11-23T01:32:29.9647619Z                8 BINARY_ADD
2022-11-23T01:32:29.9647718Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9647818Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:29.9647971Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T01:32:29.9648068Z               16 CALL_FUNCTION            1
2022-11-23T01:32:29.9648141Z               18 BINARY_ADD
2022-11-23T01:32:29.9648240Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9648340Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:29.9648485Z               24 LOAD_CONST               1 ('inf')
2022-11-23T01:32:29.9648581Z               26 CALL_FUNCTION            1
2022-11-23T01:32:29.9648669Z               28 UNARY_NEGATIVE
2022-11-23T01:32:29.9648759Z               30 BINARY_MULTIPLY
2022-11-23T01:32:29.9648848Z               32 BUILD_TUPLE              3
2022-11-23T01:32:29.9648934Z               34 RETURN_VALUE
2022-11-23T01:32:29.9649000Z  
2022-11-23T01:32:29.9649006Z 
2022-11-23T01:32:29.9649321Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754
2022-11-23T01:32:29.9649535Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9649788Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T01:32:29.9650101Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:29.9650416Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9650722Z [2022-11-23 01:24:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9650953Z [2022-11-23 01:24:34,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:29.9651225Z [2022-11-23 01:24:34,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9651531Z [2022-11-23 01:24:34,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:29.9651923Z [2022-11-23 01:24:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9652233Z [2022-11-23 01:24:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9652503Z [2022-11-23 01:24:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9652802Z [2022-11-23 01:24:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9653133Z [2022-11-23 01:24:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:29.9653503Z [2022-11-23 01:24:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9653850Z [2022-11-23 01:24:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9654209Z [2022-11-23 01:24:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9654507Z [2022-11-23 01:24:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9654750Z [2022-11-23 01:24:34,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9655129Z [2022-11-23 01:24:34,072] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753>
2022-11-23T01:32:29.9655388Z [2022-11-23 01:24:34,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9655627Z [2022-11-23 01:24:34,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9655894Z [2022-11-23 01:24:34,073] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9656149Z [2022-11-23 01:24:34,077] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9656345Z [2022-11-23 01:24:34,078] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9656487Z  __compiled_fn_122 <eval_with_key>.763 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9656584Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9656757Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T01:32:29.9656946Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T01:32:29.9657127Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T01:32:29.9657273Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T01:32:29.9657279Z 
2022-11-23T01:32:29.9657607Z [2022-11-23 01:24:34,078] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9657775Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9657873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9657969Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9658062Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9658154Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9658249Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9658331Z              12 RETURN_VALUE
2022-11-23T01:32:29.9658337Z 
2022-11-23T01:32:29.9658405Z  
2022-11-23T01:32:29.9658731Z [2022-11-23 01:24:34,078] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9659066Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_122)
2022-11-23T01:32:29.9659166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9659260Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9659343Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9659438Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9659549Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9659658Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9659755Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9659837Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.9659937Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9660033Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9660117Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9660224Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9660320Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9660403Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9660496Z              30 BUILD_TUPLE              3
2022-11-23T01:32:29.9660574Z              32 RETURN_VALUE
2022-11-23T01:32:29.9660579Z 
2022-11-23T01:32:29.9660649Z  
2022-11-23T01:32:29.9660839Z [2022-11-23 01:24:34,079] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9660916Z  - 
2022-11-23T01:32:29.9661041Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9661112Z             {
2022-11-23T01:32:29.9661262Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9661444Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9661568Z                 'obj_weakref': None
2022-11-23T01:32:29.9661792Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9661863Z             }
2022-11-23T01:32:29.9661936Z             
2022-11-23T01:32:29.9662015Z  - 
2022-11-23T01:32:29.9662144Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9662206Z             {
2022-11-23T01:32:29.9662353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9662468Z                 'code': None,
2022-11-23T01:32:29.9662675Z                 'obj_weakref': <weakref at 0x7f2128464590; to 'Tensor' at 0x7f2115f5a0c0>
2022-11-23T01:32:29.9662924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9662994Z             }
2022-11-23T01:32:29.9663063Z             
2022-11-23T01:32:29.9663131Z  - 
2022-11-23T01:32:29.9663266Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9663336Z             {
2022-11-23T01:32:29.9663483Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9663656Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9663781Z                 'obj_weakref': None
2022-11-23T01:32:29.9664060Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9664124Z             }
2022-11-23T01:32:29.9664192Z             
2022-11-23T01:32:29.9664306Z  - 
2022-11-23T01:32:29.9664433Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9664503Z             {
2022-11-23T01:32:29.9664644Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9664861Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9664977Z                 'obj_weakref': None
2022-11-23T01:32:29.9665200Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9665270Z             }
2022-11-23T01:32:29.9665346Z             
2022-11-23T01:32:29.9665421Z  - 
2022-11-23T01:32:29.9665561Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:29.9665633Z             {
2022-11-23T01:32:29.9665753Z                 'guard_types': None,
2022-11-23T01:32:29.9665865Z                 'code': None,
2022-11-23T01:32:29.9665989Z                 'obj_weakref': None
2022-11-23T01:32:29.9666116Z                 'guarded_class': None
2022-11-23T01:32:29.9666192Z             }
2022-11-23T01:32:29.9666260Z             
2022-11-23T01:32:29.9666524Z [2022-11-23 01:24:34,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120
2022-11-23T01:32:29.9666874Z [2022-11-23 01:24:35,620] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5w/c5wkv3kbo3xavva7srqjdjgkqw7lkuk3l6ojs44gg5c6wewg254n.py
2022-11-23T01:32:29.9667137Z [2022-11-23 01:24:35,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120
2022-11-23T01:32:29.9667143Z 
2022-11-23T01:32:29.9667241Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9667315Z import torch
2022-11-23T01:32:29.9667392Z import random
2022-11-23T01:32:29.9667516Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9667644Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9667649Z 
2022-11-23T01:32:29.9667735Z aten = torch.ops.aten
2022-11-23T01:32:29.9667869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9667972Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9667978Z 
2022-11-23T01:32:29.9668053Z import triton
2022-11-23T01:32:29.9668147Z import triton.language as tl
2022-11-23T01:32:29.9668275Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9668418Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9668424Z 
2022-11-23T01:32:29.9668428Z 
2022-11-23T01:32:29.9668566Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9668777Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9668894Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9669003Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9669110Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9669213Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:29.9669283Z {
2022-11-23T01:32:29.9669387Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9669456Z     {
2022-11-23T01:32:29.9669531Z         #pragma omp for 
2022-11-23T01:32:29.9669620Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:29.9669692Z         {
2022-11-23T01:32:29.9669851Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:29.9670011Z             auto tmp1 = at::vec::Vectorized<float>(std::numeric_limits<float>::infinity());
2022-11-23T01:32:29.9670103Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9670400Z             auto tmp3 = at::vec::Vectorized<float>(-std::numeric_limits<float>::infinity());
2022-11-23T01:32:29.9670511Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.9670593Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T01:32:29.9670739Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:29.9670839Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:29.9670936Z             tmp5.store(out_ptr2 + 8*i0);
2022-11-23T01:32:29.9671030Z         }
2022-11-23T01:32:29.9671134Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:29.9671225Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:29.9671287Z         {
2022-11-23T01:32:29.9671378Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9671509Z             auto tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.9671599Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9671836Z             auto tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.9671928Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:29.9672016Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T01:32:29.9672096Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:29.9672183Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:29.9672273Z             out_ptr2[i0] = tmp5;
2022-11-23T01:32:29.9672343Z         }
2022-11-23T01:32:29.9672411Z     }
2022-11-23T01:32:29.9672476Z }
2022-11-23T01:32:29.9672555Z ''')
2022-11-23T01:32:29.9672575Z 
2022-11-23T01:32:29.9672579Z 
2022-11-23T01:32:29.9672667Z async_compile.wait(globals())
2022-11-23T01:32:29.9672745Z del async_compile
2022-11-23T01:32:29.9672750Z 
2022-11-23T01:32:29.9672827Z def call(args):
2022-11-23T01:32:29.9672904Z     arg0_1, = args
2022-11-23T01:32:29.9672981Z     args.clear()
2022-11-23T01:32:29.9673180Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9673374Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9673557Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9673750Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:29.9673825Z     del arg0_1
2022-11-23T01:32:29.9673918Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:29.9673923Z 
2022-11-23T01:32:29.9673928Z 
2022-11-23T01:32:29.9674010Z if __name__ == "__main__":
2022-11-23T01:32:29.9674131Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9674265Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9674460Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9674566Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9674578Z 
2022-11-23T01:32:29.9674643Z ok (1.557s)
2022-11-23T01:32:29.9674965Z   test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9675284Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9675513Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9675770Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9676055Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9676377Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9676724Z [2022-11-23 01:24:35,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9677047Z [2022-11-23 01:24:35,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9677444Z [2022-11-23 01:24:35,626] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396> 
2022-11-23T01:32:29.9677551Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9677686Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T01:32:29.9677787Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9677885Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9677966Z                8 BINARY_ADD
2022-11-23T01:32:29.9678062Z               10 CALL_METHOD              1
2022-11-23T01:32:29.9678160Z               12 STORE_FAST               1 (a)
2022-11-23T01:32:29.9678166Z 
2022-11-23T01:32:29.9678258Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9678365Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T01:32:29.9678464Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9678559Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9678642Z               22 BINARY_ADD
2022-11-23T01:32:29.9678741Z               24 CALL_METHOD              1
2022-11-23T01:32:29.9678837Z               26 STORE_FAST               2 (b)
2022-11-23T01:32:29.9678842Z 
2022-11-23T01:32:29.9678945Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9679045Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T01:32:29.9679142Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9679238Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9679316Z               36 BINARY_ADD
2022-11-23T01:32:29.9679413Z               38 CALL_METHOD              1
2022-11-23T01:32:29.9679512Z               40 STORE_FAST               3 (c)
2022-11-23T01:32:29.9679517Z 
2022-11-23T01:32:29.9679618Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9679709Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T01:32:29.9679804Z               46 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9679900Z               48 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9679979Z               50 BINARY_ADD
2022-11-23T01:32:29.9680076Z               52 CALL_METHOD              1
2022-11-23T01:32:29.9680173Z               54 STORE_FAST               4 (d)
2022-11-23T01:32:29.9680178Z 
2022-11-23T01:32:29.9680277Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9680368Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T01:32:29.9680461Z               60 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9680555Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9680634Z               64 BINARY_ADD
2022-11-23T01:32:29.9680727Z               66 CALL_METHOD              1
2022-11-23T01:32:29.9680824Z               68 STORE_FAST               5 (e)
2022-11-23T01:32:29.9680828Z 
2022-11-23T01:32:29.9680925Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9681034Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:29.9681123Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9681217Z               76 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9681297Z               78 BINARY_ADD
2022-11-23T01:32:29.9681401Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:29.9681509Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T01:32:29.9681604Z               84 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9681704Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:29.9681793Z               88 LOAD_ATTR                9 (bool)
2022-11-23T01:32:29.9681949Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:29.9682052Z               92 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.9682148Z               94 LOAD_CONST               3 (99.0)
2022-11-23T01:32:29.9682243Z               96 CALL_METHOD              3
2022-11-23T01:32:29.9682340Z               98 STORE_FAST               6 (f)
2022-11-23T01:32:29.9682345Z 
2022-11-23T01:32:29.9682471Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9682581Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:29.9682668Z              104 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9682787Z              106 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9682866Z              108 BINARY_ADD
2022-11-23T01:32:29.9682965Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:29.9683068Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T01:32:29.9683163Z              114 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9683262Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:29.9683350Z              118 LOAD_ATTR                9 (bool)
2022-11-23T01:32:29.9683503Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:29.9683601Z              122 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.9683697Z              124 LOAD_CONST               3 (99.0)
2022-11-23T01:32:29.9683793Z              126 CALL_METHOD              3
2022-11-23T01:32:29.9683891Z              128 STORE_FAST               7 (h)
2022-11-23T01:32:29.9683896Z 
2022-11-23T01:32:29.9683990Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T01:32:29.9684080Z              132 LOAD_FAST                2 (b)
2022-11-23T01:32:29.9684175Z              134 LOAD_FAST                3 (c)
2022-11-23T01:32:29.9684267Z              136 LOAD_FAST                4 (d)
2022-11-23T01:32:29.9684359Z              138 LOAD_FAST                5 (e)
2022-11-23T01:32:29.9684452Z              140 LOAD_FAST                6 (f)
2022-11-23T01:32:29.9684543Z              142 LOAD_FAST                7 (h)
2022-11-23T01:32:29.9684638Z              144 BUILD_TUPLE              7
2022-11-23T01:32:29.9684719Z              146 RETURN_VALUE
2022-11-23T01:32:29.9684779Z  
2022-11-23T01:32:29.9684784Z 
2022-11-23T01:32:29.9685103Z [2022-11-23 01:24:35,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397
2022-11-23T01:32:29.9685326Z [2022-11-23 01:24:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9685642Z [2022-11-23 01:24:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9685905Z [2022-11-23 01:24:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T01:32:29.9686192Z [2022-11-23 01:24:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:29.9686520Z [2022-11-23 01:24:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9686812Z [2022-11-23 01:24:35,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:29.9687053Z [2022-11-23 01:24:35,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9687354Z [2022-11-23 01:24:35,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398
2022-11-23T01:32:29.9687576Z [2022-11-23 01:24:35,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9687890Z [2022-11-23 01:24:35,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9688148Z [2022-11-23 01:24:35,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T01:32:29.9688439Z [2022-11-23 01:24:35,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:29.9688798Z [2022-11-23 01:24:35,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9689088Z [2022-11-23 01:24:35,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:29.9689354Z [2022-11-23 01:24:35,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:29.9689666Z [2022-11-23 01:24:35,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399
2022-11-23T01:32:29.9689886Z [2022-11-23 01:24:35,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9690194Z [2022-11-23 01:24:35,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9690458Z [2022-11-23 01:24:35,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T01:32:29.9690752Z [2022-11-23 01:24:35,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:29.9691082Z [2022-11-23 01:24:35,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9691377Z [2022-11-23 01:24:35,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:29.9691619Z [2022-11-23 01:24:35,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:29.9691933Z [2022-11-23 01:24:35,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400
2022-11-23T01:32:29.9692155Z [2022-11-23 01:24:35,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9692466Z [2022-11-23 01:24:35,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9692721Z [2022-11-23 01:24:35,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T01:32:29.9693008Z [2022-11-23 01:24:35,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:29.9693323Z [2022-11-23 01:24:35,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9693610Z [2022-11-23 01:24:35,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:29.9693853Z [2022-11-23 01:24:35,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:29.9694170Z [2022-11-23 01:24:35,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401
2022-11-23T01:32:29.9694389Z [2022-11-23 01:24:35,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9694698Z [2022-11-23 01:24:35,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9694952Z [2022-11-23 01:24:35,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T01:32:29.9695234Z [2022-11-23 01:24:35,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:29.9695558Z [2022-11-23 01:24:35,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9695851Z [2022-11-23 01:24:35,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:29.9696109Z [2022-11-23 01:24:35,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:29.9696426Z [2022-11-23 01:24:35,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402
2022-11-23T01:32:29.9696670Z [2022-11-23 01:24:35,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9696985Z [2022-11-23 01:24:35,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9697252Z [2022-11-23 01:24:35,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:29.9697544Z [2022-11-23 01:24:35,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:29.9697877Z [2022-11-23 01:24:35,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9698177Z [2022-11-23 01:24:35,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:29.9698633Z [2022-11-23 01:24:35,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9699163Z [2022-11-23 01:24:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9699610Z [2022-11-23 01:24:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9700187Z [2022-11-23 01:24:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9700679Z [2022-11-23 01:24:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:29.9701190Z [2022-11-23 01:24:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:29.9701502Z [2022-11-23 01:24:35,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9701854Z [2022-11-23 01:24:35,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9702099Z [2022-11-23 01:24:35,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:29.9702408Z [2022-11-23 01:24:35,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403
2022-11-23T01:32:29.9702628Z [2022-11-23 01:24:35,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9702943Z [2022-11-23 01:24:35,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9703249Z [2022-11-23 01:24:35,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:29.9703545Z [2022-11-23 01:24:35,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:29.9703907Z [2022-11-23 01:24:35,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9704208Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:29.9704660Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9705067Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9705495Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9706075Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9706560Z [2022-11-23 01:24:35,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:29.9707067Z [2022-11-23 01:24:35,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:29.9707390Z [2022-11-23 01:24:35,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9707744Z [2022-11-23 01:24:35,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:29.9707985Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T01:32:29.9708304Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404
2022-11-23T01:32:29.9708519Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9708761Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.9709035Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9709329Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9709650Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9709988Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9710473Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9710937Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9711184Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9711556Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396>
2022-11-23T01:32:29.9711808Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9712052Z [2022-11-23 01:24:35,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9712312Z [2022-11-23 01:24:35,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9712568Z [2022-11-23 01:24:35,696] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9712762Z [2022-11-23 01:24:35,696] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9712901Z  __compiled_fn_123 <eval_with_key>.769 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9712989Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9713168Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9713297Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T01:32:29.9713479Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9713604Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T01:32:29.9713785Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9713912Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T01:32:29.9714081Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9714195Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T01:32:29.9714369Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9714487Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T01:32:29.9714660Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9714940Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:29.9715090Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T01:32:29.9715268Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:29.9715531Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:29.9715679Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T01:32:29.9715860Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T01:32:29.9715868Z 
2022-11-23T01:32:29.9716198Z [2022-11-23 01:24:35,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9716300Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9716396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9716492Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9716594Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9716680Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9716777Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9716860Z              12 RETURN_VALUE
2022-11-23T01:32:29.9716865Z 
2022-11-23T01:32:29.9716972Z  
2022-11-23T01:32:29.9717307Z [2022-11-23 01:24:35,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9717447Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_123)
2022-11-23T01:32:29.9717545Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9717644Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9717720Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9717816Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9717930Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9718040Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9718137Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9718221Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.9718327Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9718418Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9718501Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9718611Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9718712Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9718794Z              28 BINARY_SUBSCR
2022-11-23T01:32:29.9718900Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9718993Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:29.9719068Z              34 BINARY_SUBSCR
2022-11-23T01:32:29.9719174Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9719267Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:29.9719349Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.9719456Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9719551Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:29.9719632Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.9719734Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9719833Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:29.9719915Z              52 BINARY_SUBSCR
2022-11-23T01:32:29.9720012Z              54 BUILD_TUPLE              7
2022-11-23T01:32:29.9720095Z              56 RETURN_VALUE
2022-11-23T01:32:29.9720101Z 
2022-11-23T01:32:29.9720168Z  
2022-11-23T01:32:29.9720357Z [2022-11-23 01:24:35,698] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9720433Z  - 
2022-11-23T01:32:29.9720552Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9720622Z             {
2022-11-23T01:32:29.9720769Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9720959Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9721087Z                 'obj_weakref': None
2022-11-23T01:32:29.9721312Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9721386Z             }
2022-11-23T01:32:29.9721449Z             
2022-11-23T01:32:29.9721524Z  - 
2022-11-23T01:32:29.9721653Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9721727Z             {
2022-11-23T01:32:29.9721878Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9721991Z                 'code': None,
2022-11-23T01:32:29.9722202Z                 'obj_weakref': <weakref at 0x7f20680be8e0; to 'Tensor' at 0x7f21284675b0>
2022-11-23T01:32:29.9722444Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9722514Z             }
2022-11-23T01:32:29.9722584Z             
2022-11-23T01:32:29.9722664Z  - 
2022-11-23T01:32:29.9722802Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9722872Z             {
2022-11-23T01:32:29.9723013Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9723182Z                 'code': ['___check_obj_id(model, 139780074952240)'],
2022-11-23T01:32:29.9723338Z                 'obj_weakref': None
2022-11-23T01:32:29.9723567Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9723660Z             }
2022-11-23T01:32:29.9723730Z             
2022-11-23T01:32:29.9723805Z  - 
2022-11-23T01:32:29.9723935Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9723997Z             {
2022-11-23T01:32:29.9724139Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9724361Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9724485Z                 'obj_weakref': None
2022-11-23T01:32:29.9724707Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9724776Z             }
2022-11-23T01:32:29.9724844Z             
2022-11-23T01:32:29.9724912Z  - 
2022-11-23T01:32:29.9725048Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.9725121Z             {
2022-11-23T01:32:29.9725248Z                 'guard_types': None,
2022-11-23T01:32:29.9725360Z                 'code': None,
2022-11-23T01:32:29.9725483Z                 'obj_weakref': None
2022-11-23T01:32:29.9725605Z                 'guarded_class': None
2022-11-23T01:32:29.9725674Z             }
2022-11-23T01:32:29.9725743Z             
2022-11-23T01:32:29.9725818Z  - 
2022-11-23T01:32:29.9725955Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9726025Z             {
2022-11-23T01:32:29.9726152Z                 'guard_types': None,
2022-11-23T01:32:29.9726256Z                 'code': None,
2022-11-23T01:32:29.9726378Z                 'obj_weakref': None
2022-11-23T01:32:29.9726502Z                 'guarded_class': None
2022-11-23T01:32:29.9726572Z             }
2022-11-23T01:32:29.9726641Z             
2022-11-23T01:32:29.9726715Z  - 
2022-11-23T01:32:29.9726863Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:29.9726924Z             {
2022-11-23T01:32:29.9727075Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.9727244Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:29.9727367Z                 'obj_weakref': None
2022-11-23T01:32:29.9727591Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:29.9727661Z             }
2022-11-23T01:32:29.9727731Z             
2022-11-23T01:32:29.9727985Z [2022-11-23 01:24:35,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121
2022-11-23T01:32:29.9728349Z [2022-11-23 01:24:37,292] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cy/ccywlzriti5fe4rgf6rh44wfdjqaigweyqp3iatmgwcpbkm7spm7.py
2022-11-23T01:32:29.9728616Z [2022-11-23 01:24:37,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121
2022-11-23T01:32:29.9728622Z 
2022-11-23T01:32:29.9728722Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9728796Z import torch
2022-11-23T01:32:29.9728874Z import random
2022-11-23T01:32:29.9728996Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9729125Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9729132Z 
2022-11-23T01:32:29.9729209Z aten = torch.ops.aten
2022-11-23T01:32:29.9729349Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9729447Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9729453Z 
2022-11-23T01:32:29.9729530Z import triton
2022-11-23T01:32:29.9729624Z import triton.language as tl
2022-11-23T01:32:29.9729753Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9729896Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9729901Z 
2022-11-23T01:32:29.9729906Z 
2022-11-23T01:32:29.9730047Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9730249Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9730405Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9730514Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:29.9730618Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:29.9730742Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:29.9730843Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:29.9730945Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:29.9731038Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:29.9731139Z                        float* __restrict__ out_ptr6)
2022-11-23T01:32:29.9731209Z {
2022-11-23T01:32:29.9731314Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9731383Z     {
2022-11-23T01:32:29.9731466Z         #pragma omp for 
2022-11-23T01:32:29.9731556Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:29.9731617Z         {
2022-11-23T01:32:29.9731687Z             {
2022-11-23T01:32:29.9731760Z                 {
2022-11-23T01:32:29.9731861Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9731972Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:29.9732072Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:29.9732184Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:32:29.9732273Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:29.9732387Z                     auto tmp5 = static_cast<float>(0.0);
2022-11-23T01:32:29.9732500Z                     auto tmp6 = std::max(tmp4, tmp5);
2022-11-23T01:32:29.9732611Z                     auto tmp7 = static_cast<float>(6.0);
2022-11-23T01:32:29.9732723Z                     auto tmp8 = std::min(tmp6, tmp7);
2022-11-23T01:32:29.9732820Z                     auto tmp9 = tmp2 * tmp8;
2022-11-23T01:32:29.9732931Z                     auto tmp10 = static_cast<float>(6);
2022-11-23T01:32:29.9733032Z                     auto tmp11 = tmp9 / tmp10;
2022-11-23T01:32:29.9733194Z                     auto tmp12 = static_cast<float>(-1.0);
2022-11-23T01:32:29.9733307Z                     auto tmp13 = std::max(tmp2, tmp12);
2022-11-23T01:32:29.9733421Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:29.9733536Z                     auto tmp15 = std::min(tmp13, tmp14);
2022-11-23T01:32:29.9733646Z                     auto tmp16 = static_cast<float>(0);
2022-11-23T01:32:29.9733744Z                     auto tmp17 = tmp2 > tmp16;
2022-11-23T01:32:29.9733857Z                     auto tmp18 = static_cast<float>(0.01);
2022-11-23T01:32:29.9733948Z                     auto tmp19 = tmp2 * tmp18;
2022-11-23T01:32:29.9734056Z                     auto tmp20 = tmp17 ? tmp2 : tmp19;
2022-11-23T01:32:29.9734206Z                     auto tmp21 = std::exp(-tmp2);
2022-11-23T01:32:29.9734305Z                     auto tmp22 = 1 / (1 + tmp21);
2022-11-23T01:32:29.9734406Z                     auto tmp23 = tmp2 * tmp22;
2022-11-23T01:32:29.9734515Z                     auto tmp24 = static_cast<bool>(0);
2022-11-23T01:32:29.9734631Z                     auto tmp25 = static_cast<float>(99.0);
2022-11-23T01:32:29.9734740Z                     auto tmp26 = tmp24 ? tmp25 : tmp2;
2022-11-23T01:32:29.9734839Z                     auto tmp27 = static_cast<bool>(1);
2022-11-23T01:32:29.9734946Z                     auto tmp28 = tmp27 ? tmp25 : tmp2;
2022-11-23T01:32:29.9735044Z                     auto tmp29 = tmp2 + tmp1;
2022-11-23T01:32:29.9735150Z                     auto tmp30 = std::log(tmp29);
2022-11-23T01:32:29.9735242Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:29.9735334Z                     out_ptr1[i0] = tmp15;
2022-11-23T01:32:29.9735426Z                     out_ptr2[i0] = tmp20;
2022-11-23T01:32:29.9735508Z                     out_ptr3[i0] = tmp23;
2022-11-23T01:32:29.9735598Z                     out_ptr4[i0] = tmp26;
2022-11-23T01:32:29.9735687Z                     out_ptr5[i0] = tmp28;
2022-11-23T01:32:29.9735776Z                     out_ptr6[i0] = tmp30;
2022-11-23T01:32:29.9735847Z                 }
2022-11-23T01:32:29.9735945Z             }
2022-11-23T01:32:29.9736016Z         }
2022-11-23T01:32:29.9736076Z     }
2022-11-23T01:32:29.9736142Z }
2022-11-23T01:32:29.9736230Z ''')
2022-11-23T01:32:29.9736259Z 
2022-11-23T01:32:29.9736263Z 
2022-11-23T01:32:29.9736360Z async_compile.wait(globals())
2022-11-23T01:32:29.9736438Z del async_compile
2022-11-23T01:32:29.9736443Z 
2022-11-23T01:32:29.9736519Z def call(args):
2022-11-23T01:32:29.9736595Z     arg0_1, = args
2022-11-23T01:32:29.9736664Z     args.clear()
2022-11-23T01:32:29.9736864Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9737060Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9737249Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9737443Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9737638Z     buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9737824Z     buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9738010Z     buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9738292Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:32:29.9738368Z     del arg0_1
2022-11-23T01:32:29.9738482Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T01:32:29.9738488Z 
2022-11-23T01:32:29.9738493Z 
2022-11-23T01:32:29.9738575Z if __name__ == "__main__":
2022-11-23T01:32:29.9738696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9739028Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9739231Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9739348Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9739353Z 
2022-11-23T01:32:29.9739419Z ok (1.673s)
2022-11-23T01:32:29.9739932Z   test_inplace_add_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:29.9740018Z   warnings.warn(
2022-11-23T01:32:29.9740260Z [2022-11-23 01:24:37,298] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9740573Z [2022-11-23 01:24:37,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3174
2022-11-23T01:32:29.9740785Z [2022-11-23 01:24:37,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.9741034Z [2022-11-23 01:24:37,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:29.9741306Z [2022-11-23 01:24:37,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:29.9741611Z [2022-11-23 01:24:37,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:29.9741863Z [2022-11-23 01:24:37,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9742091Z [2022-11-23 01:24:37,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9742336Z [2022-11-23 01:24:37,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9742629Z [2022-11-23 01:24:37,302] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9742949Z [2022-11-23 01:24:37,302] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9743222Z [2022-11-23 01:24:37,303] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9743434Z [2022-11-23 01:24:37,303] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9743617Z  __compiled_fn_124 <eval_with_key>.772 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9743708Z placeholder, x, x, (), {}
2022-11-23T01:32:29.9743791Z placeholder, y, y, (), {}
2022-11-23T01:32:29.9743890Z call_method, add_, add_, (x, y), {}
2022-11-23T01:32:29.9743994Z output, output, output, ((add_,),), {}
2022-11-23T01:32:29.9744000Z 
2022-11-23T01:32:29.9744375Z [2022-11-23 01:24:37,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:29.9744477Z 3174           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9744581Z                2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:29.9744685Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9744785Z                6 CALL_METHOD              1
2022-11-23T01:32:29.9744862Z                8 RETURN_VALUE
2022-11-23T01:32:29.9744870Z 
2022-11-23T01:32:29.9744938Z  
2022-11-23T01:32:29.9745311Z [2022-11-23 01:24:37,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:29.9745432Z 3172           0 LOAD_GLOBAL              1 (__compiled_fn_124)
2022-11-23T01:32:29.9745532Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9745629Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9745733Z                6 CALL_FUNCTION            2
2022-11-23T01:32:29.9745838Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9745913Z               10 RETURN_VALUE
2022-11-23T01:32:29.9745918Z 
2022-11-23T01:32:29.9745986Z  
2022-11-23T01:32:29.9746196Z [2022-11-23 01:24:37,303] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9746275Z  - 
2022-11-23T01:32:29.9746411Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.9746481Z             {
2022-11-23T01:32:29.9746643Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9746759Z                 'code': None,
2022-11-23T01:32:29.9746992Z                 'obj_weakref': <weakref at 0x7f2060154310; to 'Tensor' at 0x7f212794b5b0>
2022-11-23T01:32:29.9747280Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9747353Z             }
2022-11-23T01:32:29.9747423Z             
2022-11-23T01:32:29.9747500Z  - 
2022-11-23T01:32:29.9747634Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:29.9747696Z             {
2022-11-23T01:32:29.9747859Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9747980Z                 'code': None,
2022-11-23T01:32:29.9748221Z                 'obj_weakref': <weakref at 0x7f20606e4900; to 'Tensor' at 0x7f206070e9d0>
2022-11-23T01:32:29.9748504Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9748574Z             }
2022-11-23T01:32:29.9748651Z             
2022-11-23T01:32:29.9748716Z ok (0.009s)
2022-11-23T01:32:29.9749098Z   test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9749462Z [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3188
2022-11-23T01:32:29.9749700Z [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.9749971Z [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:29.9750382Z [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9750737Z [2022-11-23 01:24:37,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)]
2022-11-23T01:32:29.9751061Z [2022-11-23 01:24:37,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9751304Z [2022-11-23 01:24:37,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:29.9751620Z [2022-11-23 01:24:37,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3189
2022-11-23T01:32:29.9751826Z [2022-11-23 01:24:37,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:29.9752069Z [2022-11-23 01:24:37,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:29.9752347Z [2022-11-23 01:24:37,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:29.9752654Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:29.9752902Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:29.9753212Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3190
2022-11-23T01:32:29.9753424Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w []
2022-11-23T01:32:29.9753671Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()]
2022-11-23T01:32:29.9753945Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)]
2022-11-23T01:32:29.9754243Z [2022-11-23 01:24:37,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()]
2022-11-23T01:32:29.9754496Z [2022-11-23 01:24:37,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9754738Z [2022-11-23 01:24:37,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9754983Z [2022-11-23 01:24:37,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9755222Z [2022-11-23 01:24:37,316] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9755417Z [2022-11-23 01:24:37,316] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9755565Z  __compiled_fn_125 <eval_with_key>.778 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9755654Z placeholder, x, x, (), {}
2022-11-23T01:32:29.9755745Z placeholder, y, y, (), {}
2022-11-23T01:32:29.9755837Z call_method, float_1, float, (y,), {}
2022-11-23T01:32:29.9756024Z call_function, add, <built-in function add>, (x, float_1), {}
2022-11-23T01:32:29.9756123Z call_method, add_, add_, (add, y), {}
2022-11-23T01:32:29.9756219Z call_method, mul_, mul_, (add_, y), {}
2022-11-23T01:32:29.9756325Z output, output, output, ((mul_,),), {}
2022-11-23T01:32:29.9756331Z 
2022-11-23T01:32:29.9756659Z [2022-11-23 01:24:37,316] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:29.9756762Z 3188           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9756852Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9756956Z                4 LOAD_METHOD              0 (float)
2022-11-23T01:32:29.9757051Z                6 CALL_METHOD              0
2022-11-23T01:32:29.9757131Z                8 BINARY_ADD
2022-11-23T01:32:29.9757231Z               10 STORE_FAST               2 (z)
2022-11-23T01:32:29.9757236Z 
2022-11-23T01:32:29.9757359Z 3189          12 LOAD_FAST                2 (z)
2022-11-23T01:32:29.9757462Z               14 LOAD_METHOD              1 (add_)
2022-11-23T01:32:29.9757555Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9757666Z               18 CALL_METHOD              1
2022-11-23T01:32:29.9757763Z               20 STORE_FAST               3 (w)
2022-11-23T01:32:29.9757768Z 
2022-11-23T01:32:29.9757861Z 3190          22 LOAD_FAST                3 (w)
2022-11-23T01:32:29.9757960Z               24 LOAD_METHOD              2 (mul_)
2022-11-23T01:32:29.9758055Z               26 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9758150Z               28 CALL_METHOD              1
2022-11-23T01:32:29.9758232Z               30 RETURN_VALUE
2022-11-23T01:32:29.9758237Z 
2022-11-23T01:32:29.9758296Z  
2022-11-23T01:32:29.9758626Z [2022-11-23 01:24:37,317] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:29.9758751Z 3186           0 LOAD_GLOBAL              3 (__compiled_fn_125)
2022-11-23T01:32:29.9758845Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9758939Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9759040Z                6 CALL_FUNCTION            2
2022-11-23T01:32:29.9759138Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9759219Z               10 RETURN_VALUE
2022-11-23T01:32:29.9759224Z 
2022-11-23T01:32:29.9759283Z  
2022-11-23T01:32:29.9759472Z [2022-11-23 01:24:37,317] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9759549Z  - 
2022-11-23T01:32:29.9759678Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:29.9759749Z             {
2022-11-23T01:32:29.9759899Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9760013Z                 'code': None,
2022-11-23T01:32:29.9760219Z                 'obj_weakref': <weakref at 0x7f2115af4540; to 'Tensor' at 0x7f2068120d10>
2022-11-23T01:32:29.9760471Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9760541Z             }
2022-11-23T01:32:29.9760610Z             
2022-11-23T01:32:29.9760686Z  - 
2022-11-23T01:32:29.9760814Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:29.9760884Z             {
2022-11-23T01:32:29.9761024Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9761138Z                 'code': None,
2022-11-23T01:32:29.9761351Z                 'obj_weakref': <weakref at 0x7f206070f1f0; to 'Tensor' at 0x7f2068123c40>
2022-11-23T01:32:29.9761594Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9761664Z             }
2022-11-23T01:32:29.9761735Z             
2022-11-23T01:32:29.9761998Z [2022-11-23 01:24:37,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122
2022-11-23T01:32:29.9762367Z [2022-11-23 01:24:38,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgo6zgly4ij4fvs5vnursx5m2elojlnrvja6tbqf54os4ujie7ew.py
2022-11-23T01:32:29.9762626Z [2022-11-23 01:24:38,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122
2022-11-23T01:32:29.9762643Z 
2022-11-23T01:32:29.9762737Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9762812Z import torch
2022-11-23T01:32:29.9762889Z import random
2022-11-23T01:32:29.9763009Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9763137Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9763142Z 
2022-11-23T01:32:29.9763226Z aten = torch.ops.aten
2022-11-23T01:32:29.9763367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9763458Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9763463Z 
2022-11-23T01:32:29.9763538Z import triton
2022-11-23T01:32:29.9763633Z import triton.language as tl
2022-11-23T01:32:29.9763820Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9763968Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9763974Z 
2022-11-23T01:32:29.9763978Z 
2022-11-23T01:32:29.9764118Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9764352Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9764476Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:29.9764581Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9764696Z                        const double* __restrict__ in_ptr1)
2022-11-23T01:32:29.9764764Z {
2022-11-23T01:32:29.9764868Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9764937Z     {
2022-11-23T01:32:29.9765020Z         #pragma omp for 
2022-11-23T01:32:29.9765109Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:29.9765170Z         {
2022-11-23T01:32:29.9765239Z             {
2022-11-23T01:32:29.9765310Z                 {
2022-11-23T01:32:29.9765414Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9765514Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:29.9765630Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:29.9765724Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:29.9765842Z                     auto tmp4 = static_cast<double>(tmp3);
2022-11-23T01:32:29.9765939Z                     auto tmp5 = tmp4 + tmp1;
2022-11-23T01:32:29.9766055Z                     auto tmp6 = static_cast<float>(tmp5);
2022-11-23T01:32:29.9766168Z                     auto tmp7 = static_cast<double>(tmp6);
2022-11-23T01:32:29.9766264Z                     auto tmp8 = tmp7 * tmp1;
2022-11-23T01:32:29.9766375Z                     auto tmp9 = static_cast<float>(tmp8);
2022-11-23T01:32:29.9766473Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:29.9766537Z                 }
2022-11-23T01:32:29.9766608Z             }
2022-11-23T01:32:29.9766677Z         }
2022-11-23T01:32:29.9766744Z     }
2022-11-23T01:32:29.9766812Z }
2022-11-23T01:32:29.9766904Z ''')
2022-11-23T01:32:29.9766910Z 
2022-11-23T01:32:29.9766914Z 
2022-11-23T01:32:29.9767013Z async_compile.wait(globals())
2022-11-23T01:32:29.9767087Z del async_compile
2022-11-23T01:32:29.9767092Z 
2022-11-23T01:32:29.9767168Z def call(args):
2022-11-23T01:32:29.9767250Z     arg0_1, arg1_1 = args
2022-11-23T01:32:29.9767329Z     args.clear()
2022-11-23T01:32:29.9767530Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9767623Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:29.9767793Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:32:29.9767860Z     del arg0_1
2022-11-23T01:32:29.9767933Z     del arg1_1
2022-11-23T01:32:29.9768010Z     return (buf1, )
2022-11-23T01:32:29.9768015Z 
2022-11-23T01:32:29.9768020Z 
2022-11-23T01:32:29.9768101Z if __name__ == "__main__":
2022-11-23T01:32:29.9768224Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9768355Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9768555Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9768759Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:29.9768874Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:29.9768879Z 
2022-11-23T01:32:29.9768953Z ok (1.570s)
2022-11-23T01:32:29.9769273Z   test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:38,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9769591Z [2022-11-23 01:24:38,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3216
2022-11-23T01:32:29.9769807Z [2022-11-23 01:24:38,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9770083Z [2022-11-23 01:24:38,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.9770369Z [2022-11-23 01:24:38,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9770630Z [2022-11-23 01:24:38,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:29.9770944Z [2022-11-23 01:24:38,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3217
2022-11-23T01:32:29.9771151Z [2022-11-23 01:24:38,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9771398Z [2022-11-23 01:24:38,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:29.9771676Z [2022-11-23 01:24:38,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:29.9771994Z [2022-11-23 01:24:38,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:29.9772239Z [2022-11-23 01:24:38,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9772555Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3218
2022-11-23T01:32:29.9772770Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9773012Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.9773296Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9773526Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:29.9773843Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3219
2022-11-23T01:32:29.9774059Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9774302Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:29.9774587Z [2022-11-23 01:24:38,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9774822Z [2022-11-23 01:24:38,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:29.9775113Z [2022-11-23 01:24:38,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9775364Z [2022-11-23 01:24:38,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9775605Z [2022-11-23 01:24:38,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9775851Z [2022-11-23 01:24:38,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9776147Z [2022-11-23 01:24:38,886] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9776415Z [2022-11-23 01:24:38,886] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9776657Z [2022-11-23 01:24:38,886] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9776852Z [2022-11-23 01:24:38,886] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9776995Z  __compiled_fn_126 <eval_with_key>.781 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9777084Z placeholder, a, a, (), {}
2022-11-23T01:32:29.9777257Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:29.9777385Z call_method, copy_, copy_, (a, add), {}
2022-11-23T01:32:29.9777553Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:29.9777723Z call_function, mul, <built-in function mul>, (a, add), {}
2022-11-23T01:32:29.9777944Z call_function, truediv, <built-in function truediv>, (mul, add_1), {}
2022-11-23T01:32:29.9778050Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:29.9778056Z 
2022-11-23T01:32:29.9778387Z [2022-11-23 01:24:38,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:29.9778485Z 3216           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9778582Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9778663Z                4 BINARY_ADD
2022-11-23T01:32:29.9778751Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:29.9778756Z 
2022-11-23T01:32:29.9778982Z 3217           8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9779090Z               10 LOAD_METHOD              0 (copy_)
2022-11-23T01:32:29.9779186Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9779283Z               14 CALL_METHOD              1
2022-11-23T01:32:29.9779365Z               16 POP_TOP
2022-11-23T01:32:29.9779371Z 
2022-11-23T01:32:29.9779465Z 3218          18 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9779559Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:29.9779631Z               22 BINARY_ADD
2022-11-23T01:32:29.9779725Z               24 STORE_FAST               2 (c)
2022-11-23T01:32:29.9779730Z 
2022-11-23T01:32:29.9779824Z 3219          26 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9779918Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9780007Z               30 BINARY_MULTIPLY
2022-11-23T01:32:29.9780099Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9780193Z               34 BINARY_TRUE_DIVIDE
2022-11-23T01:32:29.9780267Z               36 RETURN_VALUE
2022-11-23T01:32:29.9780272Z 
2022-11-23T01:32:29.9780341Z  
2022-11-23T01:32:29.9780668Z [2022-11-23 01:24:38,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:29.9780789Z 3215           0 LOAD_GLOBAL              1 (__compiled_fn_126)
2022-11-23T01:32:29.9780885Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9780981Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.9781082Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9781166Z                8 RETURN_VALUE
2022-11-23T01:32:29.9781171Z 
2022-11-23T01:32:29.9781230Z  
2022-11-23T01:32:29.9781419Z [2022-11-23 01:24:38,887] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9781496Z  - 
2022-11-23T01:32:29.9781621Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.9781691Z             {
2022-11-23T01:32:29.9781841Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9781954Z                 'code': None,
2022-11-23T01:32:29.9782158Z                 'obj_weakref': <weakref at 0x7f207274e4d0; to 'Tensor' at 0x7f20680b2f20>
2022-11-23T01:32:29.9782407Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9782479Z             }
2022-11-23T01:32:29.9782549Z             
2022-11-23T01:32:29.9782622Z ok (0.013s)
2022-11-23T01:32:29.9782936Z   test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:38,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9783249Z [2022-11-23 01:24:38,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3239
2022-11-23T01:32:29.9783464Z [2022-11-23 01:24:38,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9783695Z [2022-11-23 01:24:38,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.9784028Z [2022-11-23 01:24:38,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9784266Z [2022-11-23 01:24:38,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:29.9784606Z [2022-11-23 01:24:38,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3240
2022-11-23T01:32:29.9784817Z [2022-11-23 01:24:38,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9785064Z [2022-11-23 01:24:38,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:29.9785338Z [2022-11-23 01:24:38,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:29.9785655Z [2022-11-23 01:24:38,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:29.9785902Z [2022-11-23 01:24:38,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:29.9786181Z [2022-11-23 01:24:38,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:29.9786615Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9787003Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9787419Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:29.9787818Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:29.9788253Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:29.9788696Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:29.9789176Z [2022-11-23 01:24:38,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:29.9789483Z [2022-11-23 01:24:38,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:29.9789730Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9790040Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3241
2022-11-23T01:32:29.9790323Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9790596Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.9790900Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9791165Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:29.9791485Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3242
2022-11-23T01:32:29.9791725Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:29.9791968Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:29.9792241Z [2022-11-23 01:24:38,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9792492Z [2022-11-23 01:24:38,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9792730Z [2022-11-23 01:24:38,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9792979Z [2022-11-23 01:24:38,896] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9793278Z [2022-11-23 01:24:38,898] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9793543Z [2022-11-23 01:24:38,898] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9793785Z [2022-11-23 01:24:38,898] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9793983Z [2022-11-23 01:24:38,899] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9794125Z  __compiled_fn_127 <eval_with_key>.784 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9794215Z placeholder, a, a, (), {}
2022-11-23T01:32:29.9794385Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:29.9794483Z call_method, view, view, (a, 64), {}
2022-11-23T01:32:29.9794754Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([66.0],), {'device': device(type='cpu')}
2022-11-23T01:32:29.9794859Z call_method, copy_, copy_, (view, tensor), {}
2022-11-23T01:32:29.9795033Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:29.9795147Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:29.9795152Z 
2022-11-23T01:32:29.9795483Z [2022-11-23 01:24:38,899] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:29.9795581Z 3239           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9795679Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9795763Z                4 BINARY_ADD
2022-11-23T01:32:29.9795859Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:29.9795864Z 
2022-11-23T01:32:29.9795951Z 3240           8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9796053Z               10 LOAD_METHOD              0 (view)
2022-11-23T01:32:29.9796156Z               12 LOAD_CONST               2 (64)
2022-11-23T01:32:29.9796253Z               14 CALL_METHOD              1
2022-11-23T01:32:29.9796354Z               16 LOAD_METHOD              1 (copy_)
2022-11-23T01:32:29.9796456Z               18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:29.9796556Z               20 LOAD_ATTR                3 (tensor)
2022-11-23T01:32:29.9796646Z               22 LOAD_CONST               3 (66.0)
2022-11-23T01:32:29.9796741Z               24 BUILD_LIST               1
2022-11-23T01:32:29.9796835Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9796934Z               28 LOAD_ATTR                4 (device)
2022-11-23T01:32:29.9797088Z               30 LOAD_CONST               4 (('device',))
2022-11-23T01:32:29.9797185Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.9797281Z               34 CALL_METHOD              1
2022-11-23T01:32:29.9797361Z               36 POP_TOP
2022-11-23T01:32:29.9797366Z 
2022-11-23T01:32:29.9797480Z 3241          38 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9797579Z               40 LOAD_CONST               5 (2)
2022-11-23T01:32:29.9797660Z               42 BINARY_ADD
2022-11-23T01:32:29.9797779Z               44 STORE_FAST               2 (c)
2022-11-23T01:32:29.9797783Z 
2022-11-23T01:32:29.9797879Z 3242          46 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9797974Z               48 LOAD_FAST                2 (c)
2022-11-23T01:32:29.9798069Z               50 BUILD_TUPLE              2
2022-11-23T01:32:29.9798144Z               52 RETURN_VALUE
2022-11-23T01:32:29.9798157Z 
2022-11-23T01:32:29.9798216Z  
2022-11-23T01:32:29.9798537Z [2022-11-23 01:24:38,899] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:29.9798656Z 3238           0 LOAD_GLOBAL              5 (__compiled_fn_127)
2022-11-23T01:32:29.9798753Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9798856Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.9798971Z                6 STORE_FAST               3 (___graph_out_0)
2022-11-23T01:32:29.9799082Z                8 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:29.9799172Z               10 LOAD_CONST               6 (0)
2022-11-23T01:32:29.9799256Z               12 BINARY_SUBSCR
2022-11-23T01:32:29.9799365Z               14 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:29.9799460Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9799543Z               18 BINARY_SUBSCR
2022-11-23T01:32:29.9799640Z               20 BUILD_TUPLE              2
2022-11-23T01:32:29.9799722Z               22 RETURN_VALUE
2022-11-23T01:32:29.9799727Z 
2022-11-23T01:32:29.9799786Z  
2022-11-23T01:32:29.9799974Z [2022-11-23 01:24:38,899] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9800050Z  - 
2022-11-23T01:32:29.9800172Z             local 'a' TYPE_MATCH
2022-11-23T01:32:29.9800242Z             {
2022-11-23T01:32:29.9800389Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.9800556Z                 'code': ['___check_type_id(a, 94768375983968)'],
2022-11-23T01:32:29.9800760Z                 'obj_weakref': <weakref at 0x7f207274d850; to 'Tensor' at 0x7f2151ece2a0>
2022-11-23T01:32:29.9801014Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9801085Z             }
2022-11-23T01:32:29.9801155Z             
2022-11-23T01:32:29.9801234Z  - 
2022-11-23T01:32:29.9801359Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.9801428Z             {
2022-11-23T01:32:29.9801571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9801684Z                 'code': None,
2022-11-23T01:32:29.9801891Z                 'obj_weakref': <weakref at 0x7f207274d850; to 'Tensor' at 0x7f2151ece2a0>
2022-11-23T01:32:29.9802144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9802214Z             }
2022-11-23T01:32:29.9802283Z             
2022-11-23T01:32:29.9802359Z  - 
2022-11-23T01:32:29.9802488Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9802559Z             {
2022-11-23T01:32:29.9802683Z                 'guard_types': None,
2022-11-23T01:32:29.9802795Z                 'code': None,
2022-11-23T01:32:29.9802918Z                 'obj_weakref': None
2022-11-23T01:32:29.9803045Z                 'guarded_class': None
2022-11-23T01:32:29.9803114Z             }
2022-11-23T01:32:29.9803175Z             
2022-11-23T01:32:29.9803247Z ok (0.013s)
2022-11-23T01:32:29.9803564Z   test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:38,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9803881Z [2022-11-23 01:24:38,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3256
2022-11-23T01:32:29.9804128Z [2022-11-23 01:24:38,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9804376Z [2022-11-23 01:24:38,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:29.9804691Z [2022-11-23 01:24:38,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9804932Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9805246Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3257
2022-11-23T01:32:29.9805453Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9805695Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:29.9805995Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9806234Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9806549Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3258
2022-11-23T01:32:29.9806772Z [2022-11-23 01:24:38,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9807088Z [2022-11-23 01:24:38,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9807352Z [2022-11-23 01:24:38,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)]
2022-11-23T01:32:29.9807646Z [2022-11-23 01:24:38,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()]
2022-11-23T01:32:29.9807891Z [2022-11-23 01:24:38,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9808192Z [2022-11-23 01:24:38,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3259
2022-11-23T01:32:29.9808408Z [2022-11-23 01:24:38,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9808656Z [2022-11-23 01:24:38,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:29.9808933Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:29.9809252Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:29.9809491Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9809812Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3260
2022-11-23T01:32:29.9810027Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9810270Z [2022-11-23 01:24:38,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:29.9810546Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9810786Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9811101Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3261
2022-11-23T01:32:29.9811315Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9811600Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:29.9811897Z [2022-11-23 01:24:38,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9812161Z [2022-11-23 01:24:38,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:29.9812471Z [2022-11-23 01:24:38,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3262
2022-11-23T01:32:29.9812693Z [2022-11-23 01:24:38,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:29.9812999Z [2022-11-23 01:24:38,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9813250Z [2022-11-23 01:24:38,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)]
2022-11-23T01:32:29.9813538Z [2022-11-23 01:24:38,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()]
2022-11-23T01:32:29.9813788Z [2022-11-23 01:24:38,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9814100Z [2022-11-23 01:24:38,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3263
2022-11-23T01:32:29.9814312Z [2022-11-23 01:24:38,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9814564Z [2022-11-23 01:24:38,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9814804Z [2022-11-23 01:24:38,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9815051Z [2022-11-23 01:24:38,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9815352Z [2022-11-23 01:24:38,923] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9815611Z [2022-11-23 01:24:38,923] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9815855Z [2022-11-23 01:24:38,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9816050Z [2022-11-23 01:24:38,923] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9816192Z  __compiled_fn_128 <eval_with_key>.787 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9816282Z placeholder, a, a, (), {}
2022-11-23T01:32:29.9816459Z call_function, iadd, <built-in function iadd>, (a, 1), {}
2022-11-23T01:32:29.9816640Z call_function, imul, <built-in function imul>, (iadd, 2), {}
2022-11-23T01:32:29.9816762Z call_function, sigmoid_, aten.sigmoid_, (imul,), {}
2022-11-23T01:32:29.9816857Z call_method, view, view, (imul, 64), {}
2022-11-23T01:32:29.9817044Z call_function, iadd_1, <built-in function iadd>, (view, 3), {}
2022-11-23T01:32:29.9817227Z call_function, imul_1, <built-in function imul>, (iadd_1, 4), {}
2022-11-23T01:32:29.9817344Z call_function, relu_, aten.relu_, (imul_1,), {}
2022-11-23T01:32:29.9817450Z output, output, output, ((imul_1,),), {}
2022-11-23T01:32:29.9817456Z 
2022-11-23T01:32:29.9817789Z [2022-11-23 01:24:38,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:29.9817889Z 3256           0 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9817986Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9818062Z                4 INPLACE_ADD
2022-11-23T01:32:29.9818159Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:29.9818164Z 
2022-11-23T01:32:29.9818261Z 3257           8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9818383Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:29.9818475Z               12 INPLACE_MULTIPLY
2022-11-23T01:32:29.9818569Z               14 STORE_FAST               0 (a)
2022-11-23T01:32:29.9818574Z 
2022-11-23T01:32:29.9818674Z 3258          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9818937Z               18 LOAD_METHOD              1 (sigmoid_)
2022-11-23T01:32:29.9819027Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9819123Z               22 CALL_METHOD              1
2022-11-23T01:32:29.9819201Z               24 POP_TOP
2022-11-23T01:32:29.9819207Z 
2022-11-23T01:32:29.9819301Z 3259          26 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9819404Z               28 LOAD_METHOD              2 (view)
2022-11-23T01:32:29.9819503Z               30 LOAD_CONST               3 (64)
2022-11-23T01:32:29.9819597Z               32 CALL_METHOD              1
2022-11-23T01:32:29.9819686Z               34 STORE_FAST               0 (a)
2022-11-23T01:32:29.9819698Z 
2022-11-23T01:32:29.9819786Z 3260          36 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9819880Z               38 LOAD_CONST               4 (3)
2022-11-23T01:32:29.9819963Z               40 INPLACE_ADD
2022-11-23T01:32:29.9820061Z               42 STORE_FAST               0 (a)
2022-11-23T01:32:29.9820066Z 
2022-11-23T01:32:29.9820159Z 3261          44 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9820252Z               46 LOAD_CONST               5 (4)
2022-11-23T01:32:29.9820342Z               48 INPLACE_MULTIPLY
2022-11-23T01:32:29.9820428Z               50 STORE_FAST               0 (a)
2022-11-23T01:32:29.9820433Z 
2022-11-23T01:32:29.9820532Z 3262          52 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:29.9820631Z               54 LOAD_METHOD              3 (relu_)
2022-11-23T01:32:29.9820726Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9820819Z               58 CALL_METHOD              1
2022-11-23T01:32:29.9820897Z               60 POP_TOP
2022-11-23T01:32:29.9820902Z 
2022-11-23T01:32:29.9820997Z 3263          62 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9821079Z               64 RETURN_VALUE
2022-11-23T01:32:29.9821084Z 
2022-11-23T01:32:29.9821143Z  
2022-11-23T01:32:29.9821470Z [2022-11-23 01:24:38,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:29.9821591Z 3255           0 LOAD_GLOBAL              4 (__compiled_fn_128)
2022-11-23T01:32:29.9821688Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9821787Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.9821888Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9821970Z                8 RETURN_VALUE
2022-11-23T01:32:29.9821975Z 
2022-11-23T01:32:29.9822042Z  
2022-11-23T01:32:29.9822223Z [2022-11-23 01:24:38,924] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9822301Z  - 
2022-11-23T01:32:29.9822427Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.9822500Z             {
2022-11-23T01:32:29.9822652Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9822767Z                 'code': None,
2022-11-23T01:32:29.9822970Z                 'obj_weakref': <weakref at 0x7f207274e2f0; to 'Tensor' at 0x7f20680adda0>
2022-11-23T01:32:29.9823222Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9823292Z             }
2022-11-23T01:32:29.9823361Z             
2022-11-23T01:32:29.9823438Z  - 
2022-11-23T01:32:29.9823572Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:29.9823642Z             {
2022-11-23T01:32:29.9823760Z                 'guard_types': None,
2022-11-23T01:32:29.9823872Z                 'code': None,
2022-11-23T01:32:29.9823996Z                 'obj_weakref': None
2022-11-23T01:32:29.9824122Z                 'guarded_class': None
2022-11-23T01:32:29.9824193Z             }
2022-11-23T01:32:29.9824261Z             
2022-11-23T01:32:29.9824335Z ok (0.024s)
2022-11-23T01:32:29.9824687Z   test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:24:38,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:29.9825034Z [2022-11-23 01:24:38,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3276
2022-11-23T01:32:29.9825255Z [2022-11-23 01:24:38,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9825619Z [2022-11-23 01:24:38,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9825937Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9826285Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:29.9826528Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:29.9826838Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3277
2022-11-23T01:32:29.9827051Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:29.9827303Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9827539Z [2022-11-23 01:24:38,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:29.9827777Z [2022-11-23 01:24:38,928] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:29.9828074Z [2022-11-23 01:24:38,929] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:29.9828341Z [2022-11-23 01:24:38,929] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:29.9828585Z [2022-11-23 01:24:38,929] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:29.9828776Z [2022-11-23 01:24:38,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9828918Z  __compiled_fn_129 <eval_with_key>.790 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9829009Z placeholder, a, a, (), {}
2022-11-23T01:32:29.9829233Z call_function, relu_, <built-in method relu_ of type object at 0x7f209c394c60>, (a,), {}
2022-11-23T01:32:29.9829325Z output, output, output, ((a,),), {}
2022-11-23T01:32:29.9829330Z 
2022-11-23T01:32:29.9829654Z [2022-11-23 01:24:38,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:29.9829761Z 3276           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9829864Z                2 LOAD_METHOD              1 (relu_)
2022-11-23T01:32:29.9829963Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9830062Z                6 CALL_METHOD              1
2022-11-23T01:32:29.9830141Z                8 POP_TOP
2022-11-23T01:32:29.9830146Z 
2022-11-23T01:32:29.9830303Z 3277          10 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9830393Z               12 RETURN_VALUE
2022-11-23T01:32:29.9830400Z 
2022-11-23T01:32:29.9830476Z  
2022-11-23T01:32:29.9830799Z [2022-11-23 01:24:38,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:29.9830916Z 3275           0 LOAD_GLOBAL              2 (__compiled_fn_129)
2022-11-23T01:32:29.9831013Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9831110Z                4 CALL_FUNCTION            1
2022-11-23T01:32:29.9831241Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:29.9831326Z                8 RETURN_VALUE
2022-11-23T01:32:29.9831331Z 
2022-11-23T01:32:29.9831391Z  
2022-11-23T01:32:29.9831578Z [2022-11-23 01:24:38,930] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9831681Z  - 
2022-11-23T01:32:29.9831807Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:29.9831879Z             {
2022-11-23T01:32:29.9832030Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9832144Z                 'code': None,
2022-11-23T01:32:29.9832346Z                 'obj_weakref': <weakref at 0x7f207274e250; to 'Tensor' at 0x7f20680adda0>
2022-11-23T01:32:29.9832591Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9832662Z             }
2022-11-23T01:32:29.9832732Z             
2022-11-23T01:32:29.9832808Z  - 
2022-11-23T01:32:29.9832946Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9833015Z             {
2022-11-23T01:32:29.9833137Z                 'guard_types': None,
2022-11-23T01:32:29.9833249Z                 'code': None,
2022-11-23T01:32:29.9833371Z                 'obj_weakref': None
2022-11-23T01:32:29.9833501Z                 'guarded_class': None
2022-11-23T01:32:29.9833571Z             }
2022-11-23T01:32:29.9833642Z             
2022-11-23T01:32:29.9833714Z ok (0.006s)
2022-11-23T01:32:29.9834033Z   test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9834346Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9834566Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9834821Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9835106Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9835421Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9835771Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9836095Z [2022-11-23 01:24:39,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9836477Z [2022-11-23 01:24:39,199] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466> 
2022-11-23T01:32:29.9836582Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9836678Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9836779Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9836890Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:29.9836998Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9837003Z 
2022-11-23T01:32:29.9837104Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T01:32:29.9837205Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T01:32:29.9837303Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9837392Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9837500Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:29.9837506Z 
2022-11-23T01:32:29.9837600Z 4467          20 CALL_METHOD              5
2022-11-23T01:32:29.9837712Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T01:32:29.9837717Z 
2022-11-23T01:32:29.9837851Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9837952Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9838051Z               28 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9838187Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:29.9838282Z               32 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9838295Z 
2022-11-23T01:32:29.9838386Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T01:32:29.9838495Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T01:32:29.9838592Z               38 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9838689Z               40 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9838797Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:29.9838802Z 
2022-11-23T01:32:29.9838898Z 4470          44 CALL_METHOD              5
2022-11-23T01:32:29.9839012Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T01:32:29.9839020Z 
2022-11-23T01:32:29.9839120Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9839212Z               50 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9839313Z               52 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9839411Z               54 LOAD_ATTR                5 (slice)
2022-11-23T01:32:29.9839513Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T01:32:29.9839518Z 
2022-11-23T01:32:29.9839629Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:29.9839726Z               60 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9839823Z               62 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9839922Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:29.9839935Z 
2022-11-23T01:32:29.9840023Z 4473          66 CALL_METHOD              4
2022-11-23T01:32:29.9840127Z               68 STORE_FAST               8 (slice_2)
2022-11-23T01:32:29.9840132Z 
2022-11-23T01:32:29.9840235Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9840334Z               72 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9840433Z               74 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9840548Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T01:32:29.9840653Z               78 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9840658Z 
2022-11-23T01:32:29.9840760Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T01:32:29.9840852Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T01:32:29.9840950Z               84 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9841046Z               86 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9841051Z 
2022-11-23T01:32:29.9841146Z 4476          88 CALL_METHOD              4
2022-11-23T01:32:29.9841259Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T01:32:29.9841264Z 
2022-11-23T01:32:29.9841371Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9841470Z               94 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9841571Z               96 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9841675Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:29.9841779Z              100 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9841784Z 
2022-11-23T01:32:29.9841896Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:29.9842008Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T01:32:29.9842104Z              106 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9842200Z              108 LOAD_CONST               3 (0)
2022-11-23T01:32:29.9842308Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:29.9842313Z 
2022-11-23T01:32:29.9842407Z 4479         112 CALL_METHOD              5
2022-11-23T01:32:29.9842512Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T01:32:29.9842548Z 
2022-11-23T01:32:29.9842654Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9842752Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9842875Z              120 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9842973Z              122 LOAD_ATTR                8 (view)
2022-11-23T01:32:29.9843075Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9843189Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T01:32:29.9843331Z              128 LOAD_CONST               4 (-1)
2022-11-23T01:32:29.9843430Z              130 LOAD_CONST               5 (128)
2022-11-23T01:32:29.9843528Z              132 BUILD_LIST               2
2022-11-23T01:32:29.9843623Z              134 CALL_METHOD              2
2022-11-23T01:32:29.9843722Z              136 STORE_FAST              11 (view)
2022-11-23T01:32:29.9843727Z 
2022-11-23T01:32:29.9843826Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9843925Z              140 LOAD_ATTR                1 (ops)
2022-11-23T01:32:29.9844026Z              142 LOAD_ATTR                2 (aten)
2022-11-23T01:32:29.9844125Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T01:32:29.9844232Z              146 LOAD_METHOD              4 (default)
2022-11-23T01:32:29.9844333Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:29.9844431Z              150 LOAD_FAST               11 (view)
2022-11-23T01:32:29.9844527Z              152 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9844623Z              154 CALL_METHOD              3
2022-11-23T01:32:29.9844733Z              156 STORE_FAST              12 (embedding)
2022-11-23T01:32:29.9844738Z 
2022-11-23T01:32:29.9844835Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T01:32:29.9844938Z              160 LOAD_FAST                4 (view_1)
2022-11-23T01:32:29.9845033Z              162 BUILD_LIST               2
2022-11-23T01:32:29.9845119Z              164 RETURN_VALUE
2022-11-23T01:32:29.9845186Z  
2022-11-23T01:32:29.9845191Z 
2022-11-23T01:32:29.9845511Z [2022-11-23 01:24:39,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:29.9845741Z [2022-11-23 01:24:39,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9846100Z [2022-11-23 01:24:39,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9846391Z [2022-11-23 01:24:39,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9846699Z [2022-11-23 01:24:39,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9846974Z [2022-11-23 01:24:39,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:29.9847288Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468
2022-11-23T01:32:29.9847579Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:29.9847891Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:29.9848226Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9848592Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9849041Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9849371Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:29.9849813Z [2022-11-23 01:24:39,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9850072Z [2022-11-23 01:24:39,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T01:32:29.9850383Z [2022-11-23 01:24:39,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:29.9850600Z [2022-11-23 01:24:39,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9850966Z [2022-11-23 01:24:39,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9851264Z [2022-11-23 01:24:39,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9851585Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9851858Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:29.9852172Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471
2022-11-23T01:32:29.9852463Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:29.9852787Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:29.9853125Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9853494Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9853920Z [2022-11-23 01:24:39,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9854236Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:29.9854679Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9854943Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T01:32:29.9855256Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:29.9855480Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9855882Z [2022-11-23 01:24:39,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9856179Z [2022-11-23 01:24:39,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9856509Z [2022-11-23 01:24:39,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9856774Z [2022-11-23 01:24:39,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T01:32:29.9857087Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474
2022-11-23T01:32:29.9857376Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T01:32:29.9857671Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T01:32:29.9857987Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9858365Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9858671Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:29.9859195Z [2022-11-23 01:24:39,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9859448Z [2022-11-23 01:24:39,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T01:32:29.9859756Z [2022-11-23 01:24:39,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:29.9859983Z [2022-11-23 01:24:39,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9860347Z [2022-11-23 01:24:39,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9860640Z [2022-11-23 01:24:39,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9860963Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9861246Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:29.9861552Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477
2022-11-23T01:32:29.9861845Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T01:32:29.9862160Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T01:32:29.9862495Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9862867Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9863220Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:29.9863635Z [2022-11-23 01:24:39,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9863971Z [2022-11-23 01:24:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T01:32:29.9864288Z [2022-11-23 01:24:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:29.9864511Z [2022-11-23 01:24:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9864873Z [2022-11-23 01:24:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9865171Z [2022-11-23 01:24:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9865482Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9865761Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:29.9866070Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480
2022-11-23T01:32:29.9866369Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:29.9866699Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:29.9867034Z [2022-11-23 01:24:39,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9867402Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9867829Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9868142Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:29.9868591Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9868853Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T01:32:29.9869165Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482
2022-11-23T01:32:29.9869380Z [2022-11-23 01:24:39,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9869745Z [2022-11-23 01:24:39,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9870037Z [2022-11-23 01:24:39,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9870435Z [2022-11-23 01:24:39,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9870719Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T01:32:29.9871030Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T01:32:29.9871327Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T01:32:29.9871662Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9872026Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:29.9872350Z [2022-11-23 01:24:39,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:29.9872599Z [2022-11-23 01:24:39,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T01:32:29.9872907Z [2022-11-23 01:24:39,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483
2022-11-23T01:32:29.9873131Z [2022-11-23 01:24:39,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9873491Z [2022-11-23 01:24:39,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9873783Z [2022-11-23 01:24:39,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:29.9874100Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:29.9874373Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T01:32:29.9874663Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T01:32:29.9874972Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T01:32:29.9875307Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9875676Z [2022-11-23 01:24:39,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:29.9875935Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T01:32:29.9876241Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484
2022-11-23T01:32:29.9876470Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T01:32:29.9876717Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T01:32:29.9876984Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9877230Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:29.9877638Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466>
2022-11-23T01:32:29.9877886Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:29.9878150Z [2022-11-23 01:24:39,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9878406Z [2022-11-23 01:24:39,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9878653Z [2022-11-23 01:24:39,264] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9878846Z [2022-11-23 01:24:39,265] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9878988Z  __compiled_fn_130 <eval_with_key>.796 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9879084Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9879177Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:29.9879268Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:29.9879360Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:29.9879450Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:29.9879618Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T01:32:29.9879816Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:29.9879986Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:29.9880161Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T01:32:29.9880375Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:29.9880601Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T01:32:29.9880777Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T01:32:29.9880900Z output, output, output, ((embedding_default,),), {}
2022-11-23T01:32:29.9880906Z 
2022-11-23T01:32:29.9881240Z [2022-11-23 01:24:39,265] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9881334Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9881433Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9881528Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9881629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9881722Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9881815Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9881896Z              12 RETURN_VALUE
2022-11-23T01:32:29.9881902Z 
2022-11-23T01:32:29.9881961Z  
2022-11-23T01:32:29.9882293Z [2022-11-23 01:24:39,265] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9882410Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_130)
2022-11-23T01:32:29.9882512Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9882608Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9882692Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9882787Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9882884Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:29.9882959Z              12 BINARY_SUBSCR
2022-11-23T01:32:29.9883056Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9883152Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:29.9883234Z              18 BINARY_SUBSCR
2022-11-23T01:32:29.9883327Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9883421Z              22 LOAD_CONST               5 (3)
2022-11-23T01:32:29.9883533Z              24 BINARY_SUBSCR
2022-11-23T01:32:29.9883621Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9883713Z              28 LOAD_CONST               6 (5)
2022-11-23T01:32:29.9883795Z              30 BINARY_SUBSCR
2022-11-23T01:32:29.9883912Z              32 CALL_FUNCTION            5
2022-11-23T01:32:29.9884026Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9884136Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9884232Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9884306Z              40 BINARY_SUBSCR
2022-11-23T01:32:29.9884401Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9884495Z              44 LOAD_CONST               2 (4)
2022-11-23T01:32:29.9884575Z              46 BINARY_SUBSCR
2022-11-23T01:32:29.9884667Z              48 BUILD_LIST               2
2022-11-23T01:32:29.9884750Z              50 RETURN_VALUE
2022-11-23T01:32:29.9884755Z 
2022-11-23T01:32:29.9884823Z  
2022-11-23T01:32:29.9885008Z [2022-11-23 01:24:39,266] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9885085Z  - 
2022-11-23T01:32:29.9885211Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9885284Z             {
2022-11-23T01:32:29.9885428Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9885619Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:29.9885744Z                 'obj_weakref': None
2022-11-23T01:32:29.9885962Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9886034Z             }
2022-11-23T01:32:29.9886106Z             
2022-11-23T01:32:29.9886182Z  - 
2022-11-23T01:32:29.9886310Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9886384Z             {
2022-11-23T01:32:29.9886534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9886639Z                 'code': None,
2022-11-23T01:32:29.9886850Z                 'obj_weakref': <weakref at 0x7f20682427f0; to 'Tensor' at 0x7f2068205f30>
2022-11-23T01:32:29.9887101Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9887174Z             }
2022-11-23T01:32:29.9887244Z             
2022-11-23T01:32:29.9887324Z  - 
2022-11-23T01:32:29.9887451Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:29.9887513Z             {
2022-11-23T01:32:29.9887658Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9887770Z                 'code': None,
2022-11-23T01:32:29.9887975Z                 'obj_weakref': <weakref at 0x7f2115a7b7e0; to 'Tensor' at 0x7f2151ece2a0>
2022-11-23T01:32:29.9888217Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9888287Z             }
2022-11-23T01:32:29.9888357Z             
2022-11-23T01:32:29.9888426Z  - 
2022-11-23T01:32:29.9888558Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:29.9888626Z             {
2022-11-23T01:32:29.9888770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9888883Z                 'code': None,
2022-11-23T01:32:29.9889088Z                 'obj_weakref': <weakref at 0x7f2068241cb0; to 'Tensor' at 0x7f2068122660>
2022-11-23T01:32:29.9889327Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9889397Z             }
2022-11-23T01:32:29.9889459Z             
2022-11-23T01:32:29.9889535Z  - 
2022-11-23T01:32:29.9889663Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:29.9889733Z             {
2022-11-23T01:32:29.9889877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9889988Z                 'code': None,
2022-11-23T01:32:29.9890182Z                 'obj_weakref': <weakref at 0x7f207277fec0; to 'Tensor' at 0x7f207274f510>
2022-11-23T01:32:29.9890452Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9890523Z             }
2022-11-23T01:32:29.9890593Z             
2022-11-23T01:32:29.9890671Z  - 
2022-11-23T01:32:29.9890798Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:29.9890892Z             {
2022-11-23T01:32:29.9891029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9891141Z                 'code': None,
2022-11-23T01:32:29.9891346Z                 'obj_weakref': <weakref at 0x7f2151eb3ab0; to 'Tensor' at 0x7f207274d4e0>
2022-11-23T01:32:29.9891582Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9891652Z             }
2022-11-23T01:32:29.9891722Z             
2022-11-23T01:32:29.9891798Z  - 
2022-11-23T01:32:29.9891916Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:29.9891986Z             {
2022-11-23T01:32:29.9892130Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9892244Z                 'code': None,
2022-11-23T01:32:29.9892445Z                 'obj_weakref': <weakref at 0x7f20727c39c0; to 'Tensor' at 0x7f207274c0e0>
2022-11-23T01:32:29.9892682Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9892756Z             }
2022-11-23T01:32:29.9892826Z             
2022-11-23T01:32:29.9892895Z  - 
2022-11-23T01:32:29.9893029Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9893098Z             {
2022-11-23T01:32:29.9893236Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9893416Z                 'code': ['___check_obj_id(model, 139776006800000)'],
2022-11-23T01:32:29.9893542Z                 'obj_weakref': None
2022-11-23T01:32:29.9893772Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9893835Z             }
2022-11-23T01:32:29.9893905Z             
2022-11-23T01:32:29.9893980Z  - 
2022-11-23T01:32:29.9894109Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9894179Z             {
2022-11-23T01:32:29.9894320Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9894530Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9894656Z                 'obj_weakref': None
2022-11-23T01:32:29.9894883Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9894952Z             }
2022-11-23T01:32:29.9895022Z             
2022-11-23T01:32:29.9895098Z  - 
2022-11-23T01:32:29.9895236Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9895298Z             {
2022-11-23T01:32:29.9895424Z                 'guard_types': None,
2022-11-23T01:32:29.9895537Z                 'code': None,
2022-11-23T01:32:29.9895661Z                 'obj_weakref': None
2022-11-23T01:32:29.9895787Z                 'guarded_class': None
2022-11-23T01:32:29.9895860Z             }
2022-11-23T01:32:29.9895933Z             
2022-11-23T01:32:29.9896186Z [2022-11-23 01:24:39,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123
2022-11-23T01:32:29.9896553Z [2022-11-23 01:24:40,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tt/cttgwco2qiuy7t3x7oyx2hescftnukys7wuwupilgqupkbym6guy.py
2022-11-23T01:32:29.9896816Z [2022-11-23 01:24:40,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123
2022-11-23T01:32:29.9896822Z 
2022-11-23T01:32:29.9896922Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9896997Z import torch
2022-11-23T01:32:29.9897073Z import random
2022-11-23T01:32:29.9897195Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9897323Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9897328Z 
2022-11-23T01:32:29.9897406Z aten = torch.ops.aten
2022-11-23T01:32:29.9897547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9897685Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9897691Z 
2022-11-23T01:32:29.9897767Z import triton
2022-11-23T01:32:29.9897860Z import triton.language as tl
2022-11-23T01:32:29.9898015Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9898160Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9898165Z 
2022-11-23T01:32:29.9898170Z 
2022-11-23T01:32:29.9898310Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9898511Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9898637Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:29.9898749Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:29.9898998Z                        const long* __restrict__ in_ptr2,
2022-11-23T01:32:29.9899112Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:29.9899227Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:29.9899295Z {
2022-11-23T01:32:29.9899401Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:29.9899461Z     {
2022-11-23T01:32:29.9899547Z         #pragma omp for 
2022-11-23T01:32:29.9899640Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:29.9899709Z         {
2022-11-23T01:32:29.9899796Z             #pragma GCC ivdep
2022-11-23T01:32:29.9899887Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:29.9899949Z             {
2022-11-23T01:32:29.9900038Z                 #pragma GCC ivdep
2022-11-23T01:32:29.9900136Z                 for(long i2=0; i2<768; i2+=1)
2022-11-23T01:32:29.9900207Z                 {
2022-11-23T01:32:29.9900280Z                     {
2022-11-23T01:32:29.9900354Z                         {
2022-11-23T01:32:29.9900458Z                             auto tmp3 = in_ptr0[i0];
2022-11-23T01:32:29.9900563Z                             auto tmp8 = in_ptr2[i1 + (128*i0)];
2022-11-23T01:32:29.9900681Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:29.9900794Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:29.9900897Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:29.9901011Z                             auto tmp4 = static_cast<int>(1);
2022-11-23T01:32:29.9901113Z                             auto tmp5 = tmp0 >= tmp4;
2022-11-23T01:32:29.9901207Z                             auto tmp6 = 0;
2022-11-23T01:32:29.9901289Z                             if(tmp5)
2022-11-23T01:32:29.9901358Z                             {
2022-11-23T01:32:29.9901542Z                                 auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)];
2022-11-23T01:32:29.9901636Z                                 tmp6 = tmp7;
2022-11-23T01:32:29.9901713Z                             }
2022-11-23T01:32:29.9901824Z                             auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:32:29.9901947Z                             auto tmp10 = tmp2 ? tmp3 : tmp9;
2022-11-23T01:32:29.9902079Z                             auto tmp11 = in_ptr3[i2 + (768*tmp10)];
2022-11-23T01:32:29.9902208Z                             out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11;
2022-11-23T01:32:29.9902284Z                         }
2022-11-23T01:32:29.9902361Z                     }
2022-11-23T01:32:29.9902432Z                 }
2022-11-23T01:32:29.9902500Z             }
2022-11-23T01:32:29.9902569Z         }
2022-11-23T01:32:29.9902637Z     }
2022-11-23T01:32:29.9902695Z }
2022-11-23T01:32:29.9902780Z ''')
2022-11-23T01:32:29.9902786Z 
2022-11-23T01:32:29.9902790Z 
2022-11-23T01:32:29.9902885Z async_compile.wait(globals())
2022-11-23T01:32:29.9902961Z del async_compile
2022-11-23T01:32:29.9902966Z 
2022-11-23T01:32:29.9903045Z def call(args):
2022-11-23T01:32:29.9903153Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T01:32:29.9903229Z     args.clear()
2022-11-23T01:32:29.9903437Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9903715Z     kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9903791Z     del arg0_1
2022-11-23T01:32:29.9903891Z     del arg2_1
2022-11-23T01:32:29.9903963Z     del arg3_1
2022-11-23T01:32:29.9904035Z     del arg4_1
2022-11-23T01:32:29.9904112Z     return (buf0, )
2022-11-23T01:32:29.9904117Z 
2022-11-23T01:32:29.9904122Z 
2022-11-23T01:32:29.9904205Z if __name__ == "__main__":
2022-11-23T01:32:29.9904319Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9904448Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9904663Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9904863Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9905064Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9905258Z     arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9905451Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:29.9905597Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T01:32:29.9905605Z 
2022-11-23T01:32:29.9905672Z ok (1.908s)
2022-11-23T01:32:29.9905973Z   test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9906287Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9906513Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9906766Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9907046Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9907361Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9907705Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9908023Z [2022-11-23 01:24:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9908391Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371> 
2022-11-23T01:32:29.9908489Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9908590Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:29.9908595Z 
2022-11-23T01:32:29.9908694Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T01:32:29.9908798Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:29.9908939Z                8 LOAD_CONST               2 ('inf')
2022-11-23T01:32:29.9909036Z               10 CALL_FUNCTION            1
2022-11-23T01:32:29.9909135Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:29.9909233Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:29.9909370Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T01:32:29.9909467Z               18 CALL_FUNCTION            1
2022-11-23T01:32:29.9909565Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:29.9909704Z               22 LOAD_CONST               5 ('nan')
2022-11-23T01:32:29.9909800Z               24 CALL_FUNCTION            1
2022-11-23T01:32:29.9909894Z               26 BUILD_LIST               5
2022-11-23T01:32:29.9910026Z               28 LOAD_DEREF               0 (self)
2022-11-23T01:32:29.9910118Z               30 LOAD_ATTR                3 (device)
2022-11-23T01:32:29.9910123Z 
2022-11-23T01:32:29.9910380Z 3372          32 LOAD_CONST               6 (('device',))
2022-11-23T01:32:29.9910526Z               34 CALL_FUNCTION_KW         2
2022-11-23T01:32:29.9910639Z               36 STORE_FAST               1 (y)
2022-11-23T01:32:29.9910645Z 
2022-11-23T01:32:29.9910742Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9910841Z               40 LOAD_FAST                1 (y)
2022-11-23T01:32:29.9910941Z               42 COMPARE_OP               2 (==)
2022-11-23T01:32:29.9911022Z               44 RETURN_VALUE
2022-11-23T01:32:29.9911081Z  
2022-11-23T01:32:29.9911086Z 
2022-11-23T01:32:29.9911399Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:29.9911623Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9911984Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:29.9912291Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373
2022-11-23T01:32:29.9912611Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:29.9912966Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:29.9913353Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:29.9913779Z [2022-11-23 01:24:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9914166Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.9914596Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:29.9915059Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:29.9915552Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9916019Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:29.9916504Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T01:32:29.9917064Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:29.9917576Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:29.9917917Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:29.9918331Z [2022-11-23 01:24:40,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:32:29.9918639Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:29.9919026Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:29.9919445Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:29.9919685Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:29.9919996Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375
2022-11-23T01:32:29.9920208Z [2022-11-23 01:24:40,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.9920446Z [2022-11-23 01:24:40,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:29.9920719Z [2022-11-23 01:24:40,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9920968Z [2022-11-23 01:24:40,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9921332Z [2022-11-23 01:24:40,847] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371>
2022-11-23T01:32:29.9921581Z [2022-11-23 01:24:40,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:29.9921821Z [2022-11-23 01:24:40,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9922081Z [2022-11-23 01:24:40,848] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9922336Z [2022-11-23 01:24:40,850] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9922531Z [2022-11-23 01:24:40,851] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9922672Z  __compiled_fn_131 <eval_with_key>.802 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9922767Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9923043Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1, inf, 2, -inf, nan],), {'device': 'cpu'}
2022-11-23T01:32:29.9923217Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T01:32:29.9923319Z output, output, output, ((eq,),), {}
2022-11-23T01:32:29.9923325Z 
2022-11-23T01:32:29.9923673Z [2022-11-23 01:24:40,851] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9923778Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9923878Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9923995Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9924096Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9924188Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9924275Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9924359Z              12 RETURN_VALUE
2022-11-23T01:32:29.9924364Z 
2022-11-23T01:32:29.9924431Z  
2022-11-23T01:32:29.9924757Z [2022-11-23 01:24:40,851] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9924875Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_131)
2022-11-23T01:32:29.9924973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9925074Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9925149Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9925245Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9925362Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9925500Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:29.9925605Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:29.9925698Z              16 CALL_FUNCTION            0
2022-11-23T01:32:29.9925802Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:29.9925914Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9926002Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9926086Z              24 BINARY_SUBSCR
2022-11-23T01:32:29.9926188Z              26 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9926294Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:29.9926392Z              30 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9926475Z              32 BINARY_SUBSCR
2022-11-23T01:32:29.9926585Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:29.9926678Z              36 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9926784Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:29.9926881Z              40 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9926964Z              42 BINARY_SUBSCR
2022-11-23T01:32:29.9927071Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:29.9927151Z              46 RETURN_VALUE
2022-11-23T01:32:29.9927157Z 
2022-11-23T01:32:29.9927223Z  
2022-11-23T01:32:29.9927404Z [2022-11-23 01:24:40,852] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9927482Z  - 
2022-11-23T01:32:29.9927605Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9927676Z             {
2022-11-23T01:32:29.9927826Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9928015Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9928140Z                 'obj_weakref': None
2022-11-23T01:32:29.9928358Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9928429Z             }
2022-11-23T01:32:29.9928498Z             
2022-11-23T01:32:29.9928575Z  - 
2022-11-23T01:32:29.9928704Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9928773Z             {
2022-11-23T01:32:29.9928921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9929027Z                 'code': None,
2022-11-23T01:32:29.9929234Z                 'obj_weakref': <weakref at 0x7f20682435b0; to 'Tensor' at 0x7f2151eecae0>
2022-11-23T01:32:29.9929483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9929554Z             }
2022-11-23T01:32:29.9929654Z             
2022-11-23T01:32:29.9929732Z  - 
2022-11-23T01:32:29.9929867Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9929929Z             {
2022-11-23T01:32:29.9930069Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9930268Z                 'code': ['___check_obj_id(model, 139776006800000)'],
2022-11-23T01:32:29.9930391Z                 'obj_weakref': None
2022-11-23T01:32:29.9930619Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9930688Z             }
2022-11-23T01:32:29.9930758Z             
2022-11-23T01:32:29.9930826Z  - 
2022-11-23T01:32:29.9930953Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9931022Z             {
2022-11-23T01:32:29.9931162Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9931381Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9931505Z                 'obj_weakref': None
2022-11-23T01:32:29.9931729Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9931797Z             }
2022-11-23T01:32:29.9931882Z             
2022-11-23T01:32:29.9931964Z  - 
2022-11-23T01:32:29.9932164Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T01:32:29.9932234Z             {
2022-11-23T01:32:29.9932377Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:29.9932593Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768409579680)'],
2022-11-23T01:32:29.9932799Z                 'obj_weakref': <weakref at 0x7f2128467880; to 'CpuTests' at 0x7f2151eb7eb0>
2022-11-23T01:32:29.9933029Z                 'guarded_class': <weakref at 0x7f2151fa3ce0; to 'type' at 0x5630fd6390a0 (CpuTests)>
2022-11-23T01:32:29.9933099Z             }
2022-11-23T01:32:29.9933167Z             
2022-11-23T01:32:29.9933242Z  - 
2022-11-23T01:32:29.9933445Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T01:32:29.9933516Z             {
2022-11-23T01:32:29.9933656Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:29.9933960Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94768292446400)', "model.__closure__[0].cell_contents.device == 'cpu'"],
2022-11-23T01:32:29.9934087Z                 'obj_weakref': None
2022-11-23T01:32:29.9934306Z                 'guarded_class': <weakref at 0x7f2158fe1080; to 'type' at 0x5630f66840c0 (str)>
2022-11-23T01:32:29.9934374Z             }
2022-11-23T01:32:29.9934442Z             
2022-11-23T01:32:29.9934518Z  - 
2022-11-23T01:32:29.9934653Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:29.9934715Z             {
2022-11-23T01:32:29.9934839Z                 'guard_types': None,
2022-11-23T01:32:29.9934951Z                 'code': None,
2022-11-23T01:32:29.9935075Z                 'obj_weakref': None
2022-11-23T01:32:29.9935201Z                 'guarded_class': None
2022-11-23T01:32:29.9935272Z             }
2022-11-23T01:32:29.9935334Z             
2022-11-23T01:32:29.9935414Z  - 
2022-11-23T01:32:29.9935553Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:29.9935624Z             {
2022-11-23T01:32:29.9935749Z                 'guard_types': None,
2022-11-23T01:32:29.9935862Z                 'code': None,
2022-11-23T01:32:29.9935987Z                 'obj_weakref': None
2022-11-23T01:32:29.9936105Z                 'guarded_class': None
2022-11-23T01:32:29.9936174Z             }
2022-11-23T01:32:29.9936244Z             
2022-11-23T01:32:29.9936504Z [2022-11-23 01:24:40,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124
2022-11-23T01:32:29.9936866Z [2022-11-23 01:24:42,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hx/chxfnod74h6hn3zne2alljtq3y5hyywxbgyvyikno2braf4l3d6e.py
2022-11-23T01:32:29.9937163Z [2022-11-23 01:24:42,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124
2022-11-23T01:32:29.9937170Z 
2022-11-23T01:32:29.9937274Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9937349Z import torch
2022-11-23T01:32:29.9937417Z import random
2022-11-23T01:32:29.9937566Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9937695Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9937700Z 
2022-11-23T01:32:29.9937785Z aten = torch.ops.aten
2022-11-23T01:32:29.9937926Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9938024Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9938029Z 
2022-11-23T01:32:29.9938104Z import triton
2022-11-23T01:32:29.9938197Z import triton.language as tl
2022-11-23T01:32:29.9938318Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9938460Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9938466Z 
2022-11-23T01:32:29.9938471Z 
2022-11-23T01:32:29.9938611Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9938943Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9939072Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9939179Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:29.9939246Z {
2022-11-23T01:32:29.9939321Z     #pragma GCC ivdep
2022-11-23T01:32:29.9939408Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:29.9939475Z     {
2022-11-23T01:32:29.9939542Z         {
2022-11-23T01:32:29.9939612Z             {
2022-11-23T01:32:29.9939708Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9939813Z                 auto tmp1 = static_cast<long>(i0);
2022-11-23T01:32:29.9939908Z                 auto tmp2 = static_cast<long>(2);
2022-11-23T01:32:29.9940001Z                 auto tmp3 = tmp1 < tmp2;
2022-11-23T01:32:29.9940104Z                 auto tmp4 = static_cast<long>(1);
2022-11-23T01:32:29.9940196Z                 auto tmp5 = tmp1 < tmp4;
2022-11-23T01:32:29.9940309Z                 auto tmp6 = static_cast<float>(1.0);
2022-11-23T01:32:29.9940444Z                 auto tmp7 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.9940546Z                 auto tmp8 = tmp5 ? tmp6 : tmp7;
2022-11-23T01:32:29.9940646Z                 auto tmp9 = static_cast<long>(3);
2022-11-23T01:32:29.9940741Z                 auto tmp10 = tmp1 < tmp9;
2022-11-23T01:32:29.9940851Z                 auto tmp11 = static_cast<float>(2.0);
2022-11-23T01:32:29.9940955Z                 auto tmp12 = static_cast<long>(4);
2022-11-23T01:32:29.9941049Z                 auto tmp13 = tmp1 < tmp12;
2022-11-23T01:32:29.9941282Z                 auto tmp14 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:29.9941412Z                 auto tmp15 = std::numeric_limits<float>::quiet_NaN();
2022-11-23T01:32:29.9941517Z                 auto tmp16 = tmp13 ? tmp14 : tmp15;
2022-11-23T01:32:29.9941613Z                 auto tmp17 = tmp10 ? tmp11 : tmp16;
2022-11-23T01:32:29.9941719Z                 auto tmp18 = tmp3 ? tmp8 : tmp17;
2022-11-23T01:32:29.9941817Z                 auto tmp19 = tmp0 == tmp18;
2022-11-23T01:32:29.9941906Z                 out_ptr0[i0] = tmp19;
2022-11-23T01:32:29.9941978Z             }
2022-11-23T01:32:29.9942048Z         }
2022-11-23T01:32:29.9942116Z     }
2022-11-23T01:32:29.9942174Z }
2022-11-23T01:32:29.9942260Z ''')
2022-11-23T01:32:29.9942266Z 
2022-11-23T01:32:29.9942270Z 
2022-11-23T01:32:29.9942364Z async_compile.wait(globals())
2022-11-23T01:32:29.9942443Z del async_compile
2022-11-23T01:32:29.9942448Z 
2022-11-23T01:32:29.9942524Z def call(args):
2022-11-23T01:32:29.9942598Z     arg0_1, = args
2022-11-23T01:32:29.9942675Z     args.clear()
2022-11-23T01:32:29.9942857Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9943000Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:29.9943073Z     del arg0_1
2022-11-23T01:32:29.9943150Z     return (buf0, )
2022-11-23T01:32:29.9943155Z 
2022-11-23T01:32:29.9943206Z 
2022-11-23T01:32:29.9943293Z if __name__ == "__main__":
2022-11-23T01:32:29.9943415Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9943545Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9943771Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9943877Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9943882Z 
2022-11-23T01:32:29.9943955Z ok (1.542s)
2022-11-23T01:32:29.9944257Z   test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:24:42,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9944574Z [2022-11-23 01:24:42,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9944795Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9945051Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9945330Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9945648Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9945988Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9946307Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9946667Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:29.9946769Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9946870Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:29.9946968Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9947069Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9947170Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:29.9947265Z               10 CALL_METHOD              0
2022-11-23T01:32:29.9947361Z               12 BUILD_TUPLE              2
2022-11-23T01:32:29.9947436Z               14 RETURN_VALUE
2022-11-23T01:32:29.9947502Z  
2022-11-23T01:32:29.9947507Z 
2022-11-23T01:32:29.9947817Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:29.9948032Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.9948281Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:29.9948561Z [2022-11-23 01:24:42,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.9948805Z [2022-11-23 01:24:42,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:29.9949077Z [2022-11-23 01:24:42,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9949376Z [2022-11-23 01:24:42,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:29.9949644Z [2022-11-23 01:24:42,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9949893Z [2022-11-23 01:24:42,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9950373Z [2022-11-23 01:24:42,387] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:29.9950684Z [2022-11-23 01:24:42,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9950958Z [2022-11-23 01:24:42,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9951219Z [2022-11-23 01:24:42,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9951472Z [2022-11-23 01:24:42,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9951669Z [2022-11-23 01:24:42,391] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9951809Z  __compiled_fn_132 <eval_with_key>.808 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9951896Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9951999Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:29.9952098Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:29.9952212Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:29.9952221Z 
2022-11-23T01:32:29.9952549Z [2022-11-23 01:24:42,391] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9952650Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9952751Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9952844Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9952937Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9953028Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9953123Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9953205Z              12 RETURN_VALUE
2022-11-23T01:32:29.9953211Z 
2022-11-23T01:32:29.9953277Z  
2022-11-23T01:32:29.9953608Z [2022-11-23 01:24:42,391] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9953725Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_132)
2022-11-23T01:32:29.9953818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9953920Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9954002Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9954097Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9954208Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9954319Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9954415Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9954497Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.9954598Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9961199Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9961310Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9961411Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.9961495Z              26 RETURN_VALUE
2022-11-23T01:32:29.9961501Z 
2022-11-23T01:32:29.9961572Z  
2022-11-23T01:32:29.9961780Z [2022-11-23 01:24:42,392] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9961850Z  - 
2022-11-23T01:32:29.9961975Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9962046Z             {
2022-11-23T01:32:29.9962193Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9962385Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9962511Z                 'obj_weakref': None
2022-11-23T01:32:29.9962736Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9962799Z             }
2022-11-23T01:32:29.9962869Z             
2022-11-23T01:32:29.9962948Z  - 
2022-11-23T01:32:29.9963078Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9963204Z             {
2022-11-23T01:32:29.9963355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9963469Z                 'code': None,
2022-11-23T01:32:29.9963698Z                 'obj_weakref': <weakref at 0x7f20681c7fb0; to 'Tensor' at 0x7f2127a1ff60>
2022-11-23T01:32:29.9963948Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9964019Z             }
2022-11-23T01:32:29.9964088Z             
2022-11-23T01:32:29.9964164Z  - 
2022-11-23T01:32:29.9964299Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9964369Z             {
2022-11-23T01:32:29.9964503Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9964681Z                 'code': ['___check_obj_id(model, 139776006800000)'],
2022-11-23T01:32:29.9964806Z                 'obj_weakref': None
2022-11-23T01:32:29.9965044Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9965114Z             }
2022-11-23T01:32:29.9965188Z             
2022-11-23T01:32:29.9965264Z  - 
2022-11-23T01:32:29.9965383Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9965458Z             {
2022-11-23T01:32:29.9965599Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9965815Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9965939Z                 'obj_weakref': None
2022-11-23T01:32:29.9966161Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9966231Z             }
2022-11-23T01:32:29.9966293Z             
2022-11-23T01:32:29.9966554Z [2022-11-23 01:24:42,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125
2022-11-23T01:32:29.9966921Z [2022-11-23 01:24:43,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lv/clvxxhvrsoqiza5c3yh4kc73vqea3bcrw6g46y77ipqhhbsw5xc5.py
2022-11-23T01:32:29.9967191Z [2022-11-23 01:24:43,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125
2022-11-23T01:32:29.9967429Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9967748Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9967971Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9968227Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9968506Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9968823Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9969169Z [2022-11-23 01:24:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9969495Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9969870Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:29.9969970Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9970075Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:29.9970173Z                4 CALL_METHOD              0
2022-11-23T01:32:29.9970271Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:29.9970399Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:29.9970488Z               10 CALL_METHOD              0
2022-11-23T01:32:29.9970586Z               12 BUILD_TUPLE              2
2022-11-23T01:32:29.9970667Z               14 RETURN_VALUE
2022-11-23T01:32:29.9970755Z  
2022-11-23T01:32:29.9970761Z 
2022-11-23T01:32:29.9971080Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:29.9971296Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:29.9971546Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:29.9971838Z [2022-11-23 01:24:43,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:29.9972114Z [2022-11-23 01:24:43,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:29.9972392Z [2022-11-23 01:24:43,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9972703Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:29.9972975Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:29.9973229Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9973610Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:29.9973861Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:29.9974102Z [2022-11-23 01:24:43,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:29.9974361Z [2022-11-23 01:24:43,927] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:29.9974618Z [2022-11-23 01:24:43,930] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:29.9974805Z [2022-11-23 01:24:43,930] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:29.9974948Z  __compiled_fn_133 <eval_with_key>.814 opcode, name, target, args, kwargs
2022-11-23T01:32:29.9975045Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:29.9975146Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:29.9975246Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:29.9975361Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:29.9975366Z 
2022-11-23T01:32:29.9975695Z [2022-11-23 01:24:43,930] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9975796Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:29.9975886Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9975988Z               4 BUILD_MAP                0
2022-11-23T01:32:29.9976087Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:29.9976179Z               8 DICT_MERGE               1
2022-11-23T01:32:29.9976274Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:29.9976358Z              12 RETURN_VALUE
2022-11-23T01:32:29.9976363Z 
2022-11-23T01:32:29.9976429Z  
2022-11-23T01:32:29.9976745Z [2022-11-23 01:24:43,931] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:29.9976862Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_133)
2022-11-23T01:32:29.9976960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:29.9977126Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9977212Z               6 BINARY_SUBSCR
2022-11-23T01:32:29.9977307Z               8 CALL_FUNCTION            1
2022-11-23T01:32:29.9977421Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:29.9977556Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9977646Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:29.9977731Z              16 BINARY_SUBSCR
2022-11-23T01:32:29.9977840Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:29.9977935Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:29.9978017Z              22 BINARY_SUBSCR
2022-11-23T01:32:29.9978112Z              24 BUILD_TUPLE              2
2022-11-23T01:32:29.9978195Z              26 RETURN_VALUE
2022-11-23T01:32:29.9978201Z 
2022-11-23T01:32:29.9978259Z  
2022-11-23T01:32:29.9978450Z [2022-11-23 01:24:43,931] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:29.9978525Z  - 
2022-11-23T01:32:29.9978653Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:29.9978722Z             {
2022-11-23T01:32:29.9979012Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:29.9979206Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:29.9979328Z                 'obj_weakref': None
2022-11-23T01:32:29.9979553Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:29.9979623Z             }
2022-11-23T01:32:29.9979693Z             
2022-11-23T01:32:29.9979770Z  - 
2022-11-23T01:32:29.9979898Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:29.9979969Z             {
2022-11-23T01:32:29.9980108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:29.9980221Z                 'code': None,
2022-11-23T01:32:29.9980431Z                 'obj_weakref': <weakref at 0x7f206814fba0; to 'Tensor' at 0x7f2068082110>
2022-11-23T01:32:29.9980682Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:29.9980753Z             }
2022-11-23T01:32:29.9980822Z             
2022-11-23T01:32:29.9980900Z  - 
2022-11-23T01:32:29.9981032Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:29.9981101Z             {
2022-11-23T01:32:29.9981241Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:29.9981414Z                 'code': ['___check_obj_id(model, 139776006800000)'],
2022-11-23T01:32:29.9981538Z                 'obj_weakref': None
2022-11-23T01:32:29.9981766Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:29.9981838Z             }
2022-11-23T01:32:29.9981899Z             
2022-11-23T01:32:29.9981975Z  - 
2022-11-23T01:32:29.9982101Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:29.9982170Z             {
2022-11-23T01:32:29.9982312Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:29.9982534Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:29.9982656Z                 'obj_weakref': None
2022-11-23T01:32:29.9982870Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:29.9982943Z             }
2022-11-23T01:32:29.9983013Z             
2022-11-23T01:32:29.9983273Z [2022-11-23 01:24:43,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126
2022-11-23T01:32:29.9983633Z [2022-11-23 01:24:45,453] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cna56caepjlxlvbvu4icyjeyqmjtevd2dk75yhfrh62n4j2yjjvg.py
2022-11-23T01:32:29.9983897Z [2022-11-23 01:24:45,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126
2022-11-23T01:32:29.9983903Z 
2022-11-23T01:32:29.9984004Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9984078Z import torch
2022-11-23T01:32:29.9984146Z import random
2022-11-23T01:32:29.9984325Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9984457Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9984463Z 
2022-11-23T01:32:29.9984578Z aten = torch.ops.aten
2022-11-23T01:32:29.9984720Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9984819Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9984824Z 
2022-11-23T01:32:29.9984899Z import triton
2022-11-23T01:32:29.9984995Z import triton.language as tl
2022-11-23T01:32:29.9985115Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9985260Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9985265Z 
2022-11-23T01:32:29.9985270Z 
2022-11-23T01:32:29.9985409Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9985618Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9985748Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:29.9985852Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.9985954Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.9986022Z {
2022-11-23T01:32:29.9986100Z     #pragma GCC ivdep
2022-11-23T01:32:29.9986186Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:29.9986254Z     {
2022-11-23T01:32:29.9986324Z         {
2022-11-23T01:32:29.9986393Z             {
2022-11-23T01:32:29.9986489Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9986595Z                 auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:29.9986698Z                 auto tmp2 = std::isnan(tmp0);
2022-11-23T01:32:29.9986790Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.9986878Z                 out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.9986948Z             }
2022-11-23T01:32:29.9987016Z         }
2022-11-23T01:32:29.9987084Z     }
2022-11-23T01:32:29.9987142Z }
2022-11-23T01:32:29.9987228Z ''')
2022-11-23T01:32:29.9987234Z 
2022-11-23T01:32:29.9987238Z 
2022-11-23T01:32:29.9987337Z async_compile.wait(globals())
2022-11-23T01:32:29.9987415Z del async_compile
2022-11-23T01:32:29.9987421Z 
2022-11-23T01:32:29.9987497Z def call(args):
2022-11-23T01:32:29.9987575Z     arg0_1, = args
2022-11-23T01:32:29.9987653Z     args.clear()
2022-11-23T01:32:29.9987839Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9988027Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9988199Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.9988274Z     del arg0_1
2022-11-23T01:32:29.9988358Z     return (buf0, buf1, )
2022-11-23T01:32:29.9988363Z 
2022-11-23T01:32:29.9988368Z 
2022-11-23T01:32:29.9988450Z if __name__ == "__main__":
2022-11-23T01:32:29.9988570Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9988700Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9988891Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:29.9989003Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9989008Z 
2022-11-23T01:32:29.9989013Z 
2022-11-23T01:32:29.9989114Z from ctypes import c_void_p, c_long
2022-11-23T01:32:29.9989189Z import torch
2022-11-23T01:32:29.9989267Z import random
2022-11-23T01:32:29.9989387Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:29.9989511Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:29.9989516Z 
2022-11-23T01:32:29.9989600Z aten = torch.ops.aten
2022-11-23T01:32:29.9989733Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:29.9989831Z async_compile = AsyncCompile()
2022-11-23T01:32:29.9989835Z 
2022-11-23T01:32:29.9989911Z import triton
2022-11-23T01:32:29.9990005Z import triton.language as tl
2022-11-23T01:32:29.9990132Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:29.9990392Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:29.9990399Z 
2022-11-23T01:32:29.9990404Z 
2022-11-23T01:32:29.9990570Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:29.9990800Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:29.9990950Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:29.9991055Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:29.9991158Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:29.9991225Z {
2022-11-23T01:32:29.9991308Z     #pragma GCC ivdep
2022-11-23T01:32:29.9991399Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:29.9991469Z     {
2022-11-23T01:32:29.9991530Z         {
2022-11-23T01:32:29.9991600Z             {
2022-11-23T01:32:29.9991697Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:29.9991805Z                 auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:29.9991905Z                 auto tmp2 = std::isnan(tmp0);
2022-11-23T01:32:29.9991997Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:29.9992083Z                 out_ptr1[i0] = tmp2;
2022-11-23T01:32:29.9992144Z             }
2022-11-23T01:32:29.9992213Z         }
2022-11-23T01:32:29.9992284Z     }
2022-11-23T01:32:29.9992350Z }
2022-11-23T01:32:29.9992436Z ''')
2022-11-23T01:32:29.9992442Z 
2022-11-23T01:32:29.9992446Z 
2022-11-23T01:32:29.9992540Z async_compile.wait(globals())
2022-11-23T01:32:29.9992619Z del async_compile
2022-11-23T01:32:29.9992624Z 
2022-11-23T01:32:29.9992692Z def call(args):
2022-11-23T01:32:29.9992767Z     arg0_1, = args
2022-11-23T01:32:29.9992842Z     args.clear()
2022-11-23T01:32:29.9993033Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9993220Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:29.9993391Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:29.9993464Z     del arg0_1
2022-11-23T01:32:29.9993541Z     return (buf0, buf1, )
2022-11-23T01:32:29.9993554Z 
2022-11-23T01:32:29.9993559Z 
2022-11-23T01:32:29.9993632Z if __name__ == "__main__":
2022-11-23T01:32:29.9993752Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:29.9993886Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:29.9994082Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:29.9994194Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:29.9994199Z 
2022-11-23T01:32:29.9994269Z ok (3.073s)
2022-11-23T01:32:29.9994429Z   test_kwargs_cpu (__main__.CpuTests) ... skip: histogramdd only supports cpu (0.000s)
2022-11-23T01:32:29.9994727Z   test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:24:45,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:29.9995040Z [2022-11-23 01:24:45,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:29.9995258Z [2022-11-23 01:24:45,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:29.9995513Z [2022-11-23 01:24:45,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:29.9995790Z [2022-11-23 01:24:45,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:29.9996108Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9996447Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9996764Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:29.9997163Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147> 
2022-11-23T01:32:29.9997290Z  3148           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9997391Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.9997492Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.9997594Z                6 LOAD_METHOD              3 (l1_loss)
2022-11-23T01:32:29.9997691Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9997787Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9997883Z               12 CALL_METHOD              2
2022-11-23T01:32:29.9997987Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:29.9998084Z               16 LOAD_ATTR                1 (nn)
2022-11-23T01:32:29.9998183Z               18 LOAD_ATTR                2 (functional)
2022-11-23T01:32:29.9998290Z               20 LOAD_METHOD              4 (mse_loss)
2022-11-23T01:32:29.9998386Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:29.9998482Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:29.9998584Z               26 CALL_METHOD              2
2022-11-23T01:32:29.9998678Z               28 BUILD_TUPLE              2
2022-11-23T01:32:29.9998760Z               30 RETURN_VALUE
2022-11-23T01:32:29.9998818Z  
2022-11-23T01:32:29.9998824Z 
2022-11-23T01:32:29.9999136Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3148
2022-11-23T01:32:29.9999361Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:29.9999714Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0000091Z [2022-11-23 01:24:45,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:30.0000488Z [2022-11-23 01:24:45,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0000772Z [2022-11-23 01:24:45,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function l1_loss at 0x7f2073d245e0>)]
2022-11-23T01:32:30.0001082Z [2022-11-23 01:24:45,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function l1_loss at 0x7f2073d245e0>), TensorVariable()]
2022-11-23T01:32:30.0001428Z [2022-11-23 01:24:45,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function l1_loss at 0x7f2073d245e0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0001703Z [2022-11-23 01:24:45,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0002107Z [2022-11-23 01:24:45,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0002507Z [2022-11-23 01:24:45,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:30.0002929Z [2022-11-23 01:24:45,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0003234Z [2022-11-23 01:24:45,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>)]
2022-11-23T01:32:30.0003614Z [2022-11-23 01:24:45,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>), TensorVariable()]
2022-11-23T01:32:30.0004006Z [2022-11-23 01:24:45,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0004274Z [2022-11-23 01:24:45,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0004522Z [2022-11-23 01:24:45,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0004891Z [2022-11-23 01:24:45,464] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147>
2022-11-23T01:32:30.0005139Z [2022-11-23 01:24:45,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0005376Z [2022-11-23 01:24:45,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0005634Z [2022-11-23 01:24:45,465] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0005887Z [2022-11-23 01:24:45,469] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0006072Z [2022-11-23 01:24:45,470] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0006213Z  __compiled_fn_134 <eval_with_key>.820 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0006309Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0006402Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0006548Z call_function, l1_loss, <function l1_loss at 0x7f2073d245e0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.0006694Z call_function, mse_loss, <function mse_loss at 0x7f2073d24700>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.0006813Z output, output, output, ((l1_loss, mse_loss),), {}
2022-11-23T01:32:30.0006818Z 
2022-11-23T01:32:30.0007140Z [2022-11-23 01:24:45,470] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0007244Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0007334Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0007427Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0007528Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0007620Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0007715Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0007797Z              12 RETURN_VALUE
2022-11-23T01:32:30.0007803Z 
2022-11-23T01:32:30.0007868Z  
2022-11-23T01:32:30.0008184Z [2022-11-23 01:24:45,470] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0008301Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_134)
2022-11-23T01:32:30.0008399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0008499Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0008581Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0008675Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0008768Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0008841Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0008935Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.0009048Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0009159Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0009255Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0009337Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0009445Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0009571Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0009646Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.0009739Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.0009844Z              32 RETURN_VALUE
2022-11-23T01:32:30.0009849Z 
2022-11-23T01:32:30.0009914Z  
2022-11-23T01:32:30.0010100Z [2022-11-23 01:24:45,471] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0010176Z  - 
2022-11-23T01:32:30.0010299Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0010361Z             {
2022-11-23T01:32:30.0010507Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0010700Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.0010824Z                 'obj_weakref': None
2022-11-23T01:32:30.0011048Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0011118Z             }
2022-11-23T01:32:30.0011186Z             
2022-11-23T01:32:30.0011257Z  - 
2022-11-23T01:32:30.0011385Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0011455Z             {
2022-11-23T01:32:30.0011601Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0011718Z                 'code': None,
2022-11-23T01:32:30.0011925Z                 'obj_weakref': <weakref at 0x7f20606cc720; to 'Tensor' at 0x7f20606cea70>
2022-11-23T01:32:30.0012174Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0012235Z             }
2022-11-23T01:32:30.0012303Z             
2022-11-23T01:32:30.0012378Z  - 
2022-11-23T01:32:30.0012507Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0012578Z             {
2022-11-23T01:32:30.0012723Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0012834Z                 'code': None,
2022-11-23T01:32:30.0013031Z                 'obj_weakref': <weakref at 0x7f2115dc5490; to 'Tensor' at 0x7f20606cdfd0>
2022-11-23T01:32:30.0013274Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0013345Z             }
2022-11-23T01:32:30.0013418Z             
2022-11-23T01:32:30.0013495Z  - 
2022-11-23T01:32:30.0013629Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0013700Z             {
2022-11-23T01:32:30.0013832Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0014008Z                 'code': ['___check_obj_id(model, 139776006800000)'],
2022-11-23T01:32:30.0014133Z                 'obj_weakref': None
2022-11-23T01:32:30.0014366Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0014435Z             }
2022-11-23T01:32:30.0014504Z             
2022-11-23T01:32:30.0014578Z  - 
2022-11-23T01:32:30.0014697Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0014765Z             {
2022-11-23T01:32:30.0014909Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0015131Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0015253Z                 'obj_weakref': None
2022-11-23T01:32:30.0015480Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0015550Z             }
2022-11-23T01:32:30.0015610Z             
2022-11-23T01:32:30.0015684Z  - 
2022-11-23T01:32:30.0015821Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0015889Z             {
2022-11-23T01:32:30.0016012Z                 'guard_types': None,
2022-11-23T01:32:30.0016124Z                 'code': None,
2022-11-23T01:32:30.0016238Z                 'obj_weakref': None
2022-11-23T01:32:30.0016363Z                 'guarded_class': None
2022-11-23T01:32:30.0016432Z             }
2022-11-23T01:32:30.0016501Z             
2022-11-23T01:32:30.0016791Z [2022-11-23 01:24:45,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127
2022-11-23T01:32:30.0017154Z [2022-11-23 01:24:47,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pm/cpmgobbmfklb52xowe37ijhjxmfy5i2mdxvikurd6gtkc4xsozam.py
2022-11-23T01:32:30.0017445Z [2022-11-23 01:24:47,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127
2022-11-23T01:32:30.0017451Z 
2022-11-23T01:32:30.0017555Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0017622Z import torch
2022-11-23T01:32:30.0017696Z import random
2022-11-23T01:32:30.0017817Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0017943Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0017948Z 
2022-11-23T01:32:30.0018031Z aten = torch.ops.aten
2022-11-23T01:32:30.0018172Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0018268Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0018274Z 
2022-11-23T01:32:30.0018347Z import triton
2022-11-23T01:32:30.0018437Z import triton.language as tl
2022-11-23T01:32:30.0018565Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0018708Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0018717Z 
2022-11-23T01:32:30.0018722Z 
2022-11-23T01:32:30.0018987Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0019198Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0019321Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0019428Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.0019540Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0019644Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:30.0019710Z {
2022-11-23T01:32:30.0019801Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.0019892Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:30.0019958Z     {
2022-11-23T01:32:30.0020157Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0020240Z         float tmp4 = 0;
2022-11-23T01:32:30.0020359Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.0020439Z         float tmp6 = 0;
2022-11-23T01:32:30.0020561Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.0020670Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0020738Z         {
2022-11-23T01:32:30.0020878Z             #pragma omp for reduction(+:tmp4_vec) reduction(+:tmp6_vec) 
2022-11-23T01:32:30.0020972Z             for(long i0=0; i0<192; i0+=1)
2022-11-23T01:32:30.0021033Z             {
2022-11-23T01:32:30.0021175Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0021318Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.0021456Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0021555Z                 auto tmp3 = tmp2.abs();
2022-11-23T01:32:30.0021647Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:32:30.0021734Z                 tmp4_vec += tmp3;
2022-11-23T01:32:30.0021821Z                 tmp6_vec += tmp5;
2022-11-23T01:32:30.0021882Z             }
2022-11-23T01:32:30.0022085Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:30.0022285Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.0022436Z             #pragma omp for simd simdlen(4) reduction(+:tmp4) reduction(+:tmp6) 
2022-11-23T01:32:30.0022538Z             for(long i0=1536; i0<1536; i0+=1)
2022-11-23T01:32:30.0022606Z             {
2022-11-23T01:32:30.0022699Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0022792Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0022960Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0023063Z                 auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:30.0023154Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:32:30.0023266Z                 tmp4 += tmp3;
2022-11-23T01:32:30.0023345Z                 tmp6 += tmp5;
2022-11-23T01:32:30.0023414Z             }
2022-11-23T01:32:30.0023484Z         }
2022-11-23T01:32:30.0023559Z         out_ptr0[0] = tmp4;
2022-11-23T01:32:30.0023640Z         out_ptr1[0] = tmp6;
2022-11-23T01:32:30.0023707Z     }
2022-11-23T01:32:30.0023772Z     {
2022-11-23T01:32:30.0023844Z         {
2022-11-23T01:32:30.0023934Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.0024036Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:32:30.0024125Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0024212Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:32:30.0024284Z         }
2022-11-23T01:32:30.0024350Z     }
2022-11-23T01:32:30.0024419Z     {
2022-11-23T01:32:30.0024489Z         {
2022-11-23T01:32:30.0024571Z             auto tmp0 = out_ptr1[0];
2022-11-23T01:32:30.0024677Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:32:30.0024765Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0024855Z             in_out_ptr1[0] = tmp2;
2022-11-23T01:32:30.0024924Z         }
2022-11-23T01:32:30.0024990Z     }
2022-11-23T01:32:30.0025055Z }
2022-11-23T01:32:30.0025136Z ''')
2022-11-23T01:32:30.0025141Z 
2022-11-23T01:32:30.0025146Z 
2022-11-23T01:32:30.0025240Z async_compile.wait(globals())
2022-11-23T01:32:30.0025317Z del async_compile
2022-11-23T01:32:30.0025323Z 
2022-11-23T01:32:30.0025400Z def call(args):
2022-11-23T01:32:30.0025481Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0025560Z     args.clear()
2022-11-23T01:32:30.0025753Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0025929Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0026021Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.0026110Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:30.0026304Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:32:30.0026384Z     del arg0_1
2022-11-23T01:32:30.0026458Z     del arg1_1
2022-11-23T01:32:30.0026540Z     return (buf2, buf3, )
2022-11-23T01:32:30.0026546Z 
2022-11-23T01:32:30.0026550Z 
2022-11-23T01:32:30.0026632Z if __name__ == "__main__":
2022-11-23T01:32:30.0026743Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0026872Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0027090Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0027306Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0027428Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0027433Z 
2022-11-23T01:32:30.0027512Z ok (1.581s)
2022-11-23T01:32:30.0027822Z   test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0028137Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0028356Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0028595Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.0028863Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.0029169Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0029530Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0029841Z [2022-11-23 01:24:47,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0030114Z [2022-11-23 01:24:47,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0030426Z [2022-11-23 01:24:47,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0030719Z [2022-11-23 01:24:47,046] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0030990Z [2022-11-23 01:24:47,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0031176Z [2022-11-23 01:24:47,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0031317Z  __compiled_fn_135 <eval_with_key>.826 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0031411Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0031518Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.0031630Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:30.0031734Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:30.0031740Z 
2022-11-23T01:32:30.0032065Z [2022-11-23 01:24:47,052] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0032166Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0032257Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0032351Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0032450Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0032540Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0032634Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0032718Z              12 RETURN_VALUE
2022-11-23T01:32:30.0032723Z 
2022-11-23T01:32:30.0032788Z  
2022-11-23T01:32:30.0033110Z [2022-11-23 01:24:47,052] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0033222Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_135)
2022-11-23T01:32:30.0033320Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0033415Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0033496Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0033594Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0033690Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0033774Z              12 RETURN_VALUE
2022-11-23T01:32:30.0033779Z 
2022-11-23T01:32:30.0033837Z  
2022-11-23T01:32:30.0034022Z [2022-11-23 01:24:47,052] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0034098Z  - 
2022-11-23T01:32:30.0034222Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0034292Z             {
2022-11-23T01:32:30.0034437Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0034625Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0034745Z                 'obj_weakref': None
2022-11-23T01:32:30.0034970Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0035041Z             }
2022-11-23T01:32:30.0035108Z             
2022-11-23T01:32:30.0035182Z  - 
2022-11-23T01:32:30.0035309Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0035376Z             {
2022-11-23T01:32:30.0035516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0035632Z                 'code': None,
2022-11-23T01:32:30.0035844Z                 'obj_weakref': <weakref at 0x7f2115a7ab60; to 'Tensor' at 0x7f20232bcae0>
2022-11-23T01:32:30.0036125Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0036196Z             }
2022-11-23T01:32:30.0036263Z             
2022-11-23T01:32:30.0036339Z  - 
2022-11-23T01:32:30.0036482Z             local 'model' NN_MODULE
2022-11-23T01:32:30.0036551Z             {
2022-11-23T01:32:30.0036690Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0036865Z                 'code': ['___check_obj_id(model, 139780075959344)'],
2022-11-23T01:32:30.0037085Z                 'obj_weakref': <weakref at 0x7f2115dc6bb0; to 'Sequential' at 0x7f2115c63430>
2022-11-23T01:32:30.0037320Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.0037389Z             }
2022-11-23T01:32:30.0037450Z             
2022-11-23T01:32:30.0037526Z  - 
2022-11-23T01:32:30.0037651Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0037719Z             {
2022-11-23T01:32:30.0037859Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0038084Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0038209Z                 'obj_weakref': None
2022-11-23T01:32:30.0038427Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0038494Z             }
2022-11-23T01:32:30.0038561Z             
2022-11-23T01:32:30.0038635Z  - 
2022-11-23T01:32:30.0038791Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.0038859Z             {
2022-11-23T01:32:30.0038982Z                 'guard_types': None,
2022-11-23T01:32:30.0039085Z                 'code': None,
2022-11-23T01:32:30.0039205Z                 'obj_weakref': None
2022-11-23T01:32:30.0039327Z                 'guarded_class': None
2022-11-23T01:32:30.0039395Z             }
2022-11-23T01:32:30.0039462Z             
2022-11-23T01:32:30.0039536Z  - 
2022-11-23T01:32:30.0039683Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.0039746Z             {
2022-11-23T01:32:30.0039869Z                 'guard_types': None,
2022-11-23T01:32:30.0039978Z                 'code': None,
2022-11-23T01:32:30.0040099Z                 'obj_weakref': None
2022-11-23T01:32:30.0040228Z                 'guarded_class': None
2022-11-23T01:32:30.0040299Z             }
2022-11-23T01:32:30.0040367Z             
2022-11-23T01:32:30.0040619Z [2022-11-23 01:24:47,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128
2022-11-23T01:32:30.0040982Z [2022-11-23 01:24:48,715] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/up/cupaa4npihivm2qgz2b5kb53mjgpimjzu3cwqdtbkj7ngq4333cc.py
2022-11-23T01:32:30.0041249Z [2022-11-23 01:24:48,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128
2022-11-23T01:32:30.0041255Z 
2022-11-23T01:32:30.0041354Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0041429Z import torch
2022-11-23T01:32:30.0041504Z import random
2022-11-23T01:32:30.0041628Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0041755Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0041760Z 
2022-11-23T01:32:30.0041839Z aten = torch.ops.aten
2022-11-23T01:32:30.0041979Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0042078Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0042084Z 
2022-11-23T01:32:30.0042158Z import triton
2022-11-23T01:32:30.0042252Z import triton.language as tl
2022-11-23T01:32:30.0042379Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0042521Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0042526Z 
2022-11-23T01:32:30.0042531Z 
2022-11-23T01:32:30.0042669Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0042870Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0043022Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0043133Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.0043248Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0043386Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0043498Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.0043605Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0043701Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.0043770Z {
2022-11-23T01:32:30.0043862Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:32:30.0043953Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:30.0044056Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0044123Z     {
2022-11-23T01:32:30.0044203Z         #pragma omp for 
2022-11-23T01:32:30.0044285Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0044353Z         {
2022-11-23T01:32:30.0044422Z             {
2022-11-23T01:32:30.0044622Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0044705Z                 float tmp1 = 0;
2022-11-23T01:32:30.0044835Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.0044937Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.0044999Z                 {
2022-11-23T01:32:30.0045150Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.0045239Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.0045308Z                 }
2022-11-23T01:32:30.0045511Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.0045639Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.0045737Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.0045807Z                 {
2022-11-23T01:32:30.0045909Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.0045994Z                     tmp1 += tmp0;
2022-11-23T01:32:30.0046063Z                 }
2022-11-23T01:32:30.0046155Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0046224Z             }
2022-11-23T01:32:30.0046291Z         }
2022-11-23T01:32:30.0046373Z         #pragma omp for 
2022-11-23T01:32:30.0046452Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0046521Z         {
2022-11-23T01:32:30.0046589Z             {
2022-11-23T01:32:30.0046778Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0046863Z                 float tmp6 = 0;
2022-11-23T01:32:30.0046991Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.0047078Z                 float tmp7 = 0;
2022-11-23T01:32:30.0047206Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.0047299Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.0047370Z                 {
2022-11-23T01:32:30.0047522Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.0047661Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.0047806Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:30.0047905Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.0048051Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.0048148Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.0048229Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.0048314Z                     tmp7_vec += tmp0;
2022-11-23T01:32:30.0048385Z                 }
2022-11-23T01:32:30.0048590Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.0048831Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.0048978Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:30.0049099Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.0049172Z                 {
2022-11-23T01:32:30.0049271Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.0049370Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:30.0049481Z                     auto tmp2 = static_cast<float>(32);
2022-11-23T01:32:30.0049578Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.0049720Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.0049814Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.0049900Z                     tmp6 += tmp5;
2022-11-23T01:32:30.0049975Z                     tmp7 += tmp0;
2022-11-23T01:32:30.0050047Z                 }
2022-11-23T01:32:30.0050134Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.0050223Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:32:30.0050290Z             }
2022-11-23T01:32:30.0050360Z         }
2022-11-23T01:32:30.0050442Z         #pragma omp for 
2022-11-23T01:32:30.0050523Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.0050589Z         {
2022-11-23T01:32:30.0050731Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T01:32:30.0050871Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:30.0050960Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0051063Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0051131Z         }
2022-11-23T01:32:30.0051224Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0051314Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.0051381Z         {
2022-11-23T01:32:30.0051470Z             auto tmp0 = out_ptr2[i0];
2022-11-23T01:32:30.0051579Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:32:30.0051669Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0051759Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0051823Z         }
2022-11-23T01:32:30.0051915Z         #pragma omp for 
2022-11-23T01:32:30.0052017Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.0052092Z         {
2022-11-23T01:32:30.0052245Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.0052381Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:30.0052471Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0052673Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:30.0052763Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.0052853Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:32:30.0052956Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:30.0053061Z             tmp6.store(in_out_ptr1 + 8*i0);
2022-11-23T01:32:30.0053130Z         }
2022-11-23T01:32:30.0053232Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0053313Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.0053384Z         {
2022-11-23T01:32:30.0053476Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.0053580Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:32:30.0053671Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.0053826Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:30.0053916Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.0054005Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:30.0054091Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:30.0054179Z             in_out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.0054246Z         }
2022-11-23T01:32:30.0054329Z         #pragma omp for 
2022-11-23T01:32:30.0054416Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0054483Z         {
2022-11-23T01:32:30.0054597Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.0054668Z             {
2022-11-23T01:32:30.0054817Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.0054986Z                 auto tmp1 = at::vec::Vectorized<float>(in_out_ptr0[i0]);
2022-11-23T01:32:30.0055122Z                 auto tmp3 = at::vec::Vectorized<float>(in_out_ptr1[i0]);
2022-11-23T01:32:30.0055262Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:30.0055401Z                 auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T01:32:30.0055535Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0055619Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.0055713Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.0055807Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.0055944Z                 auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0));
2022-11-23T01:32:30.0056056Z                 tmp9.store(out_ptr3 + (8*i1) + (32*i0));
2022-11-23T01:32:30.0056126Z             }
2022-11-23T01:32:30.0056224Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.0056311Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.0056382Z             {
2022-11-23T01:32:30.0056484Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.0056582Z                 auto tmp1 = in_out_ptr0[i0];
2022-11-23T01:32:30.0056681Z                 auto tmp3 = in_out_ptr1[i0];
2022-11-23T01:32:30.0056771Z                 auto tmp5 = in_ptr1[i1];
2022-11-23T01:32:30.0056862Z                 auto tmp7 = in_ptr2[i1];
2022-11-23T01:32:30.0056986Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0057079Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.0057169Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.0057260Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.0057356Z                 auto tmp9 = tmp8 * (tmp8>0);
2022-11-23T01:32:30.0057457Z                 out_ptr3[i1 + (32*i0)] = tmp9;
2022-11-23T01:32:30.0057525Z             }
2022-11-23T01:32:30.0057585Z         }
2022-11-23T01:32:30.0057651Z     }
2022-11-23T01:32:30.0057719Z }
2022-11-23T01:32:30.0057804Z ''')
2022-11-23T01:32:30.0057810Z 
2022-11-23T01:32:30.0057814Z 
2022-11-23T01:32:30.0057910Z async_compile.wait(globals())
2022-11-23T01:32:30.0057989Z del async_compile
2022-11-23T01:32:30.0057994Z 
2022-11-23T01:32:30.0058071Z def call(args):
2022-11-23T01:32:30.0058181Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:30.0058250Z     args.clear()
2022-11-23T01:32:30.0058453Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0058650Z     buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0058964Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0059059Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:30.0059151Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:32:30.0059352Z     buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0059623Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.0059758Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2022-11-23T01:32:30.0059763Z 
2022-11-23T01:32:30.0059768Z 
2022-11-23T01:32:30.0059849Z if __name__ == "__main__":
2022-11-23T01:32:30.0059969Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0060098Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0060298Z     primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0060494Z     primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0060744Z     primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0060893Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:30.0060899Z 
2022-11-23T01:32:30.0060993Z ok (1.681s)
2022-11-23T01:32:30.0061300Z   test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0061611Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0061835Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0062090Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0062364Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0062683Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0063021Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0063342Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0063708Z [2022-11-23 01:24:48,720] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429> 
2022-11-23T01:32:30.0063803Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0063912Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:30.0064011Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0064111Z                6 LOAD_CONST               1 (0.2)
2022-11-23T01:32:30.0064208Z                8 CALL_METHOD              2
2022-11-23T01:32:30.0064304Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0064386Z               12 BINARY_ADD
2022-11-23T01:32:30.0064479Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0064586Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:30.0064682Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0064777Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0064855Z               22 BINARY_ADD
2022-11-23T01:32:30.0064948Z               24 CALL_METHOD              1
2022-11-23T01:32:30.0065043Z               26 BUILD_TUPLE              2
2022-11-23T01:32:30.0065126Z               28 RETURN_VALUE
2022-11-23T01:32:30.0065185Z  
2022-11-23T01:32:30.0065190Z 
2022-11-23T01:32:30.0065506Z [2022-11-23 01:24:48,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430
2022-11-23T01:32:30.0065724Z [2022-11-23 01:24:48,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0066035Z [2022-11-23 01:24:48,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0066294Z [2022-11-23 01:24:48,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:30.0066578Z [2022-11-23 01:24:48,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:30.0066906Z [2022-11-23 01:24:48,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.0067144Z [2022-11-23 01:24:48,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.0067448Z [2022-11-23 01:24:48,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0067687Z [2022-11-23 01:24:48,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.0068049Z [2022-11-23 01:24:48,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0068332Z [2022-11-23 01:24:48,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:30.0068639Z [2022-11-23 01:24:48,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:30.0068994Z [2022-11-23 01:24:48,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0069311Z [2022-11-23 01:24:48,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:30.0069579Z [2022-11-23 01:24:48,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0069825Z [2022-11-23 01:24:48,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0070197Z [2022-11-23 01:24:48,736] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429>
2022-11-23T01:32:30.0070517Z [2022-11-23 01:24:48,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0070756Z [2022-11-23 01:24:48,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0071004Z [2022-11-23 01:24:48,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0071251Z [2022-11-23 01:24:48,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0071447Z [2022-11-23 01:24:48,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0071584Z  __compiled_fn_136 <eval_with_key>.837 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0071680Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0071809Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T01:32:30.0071996Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T01:32:30.0072171Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.0072291Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T01:32:30.0072409Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T01:32:30.0072414Z 
2022-11-23T01:32:30.0072737Z [2022-11-23 01:24:48,742] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0072837Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0072936Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0073030Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0073130Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0073222Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0073310Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0073390Z              12 RETURN_VALUE
2022-11-23T01:32:30.0073396Z 
2022-11-23T01:32:30.0073467Z  
2022-11-23T01:32:30.0073791Z [2022-11-23 01:24:48,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0073904Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_136)
2022-11-23T01:32:30.0074035Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0074135Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0074219Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0074387Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0074500Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0074610Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0074708Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0074791Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0074898Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0074994Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0075068Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0075166Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0075247Z              26 RETURN_VALUE
2022-11-23T01:32:30.0075252Z 
2022-11-23T01:32:30.0075316Z  
2022-11-23T01:32:30.0075505Z [2022-11-23 01:24:48,743] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0075584Z  - 
2022-11-23T01:32:30.0075707Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0075769Z             {
2022-11-23T01:32:30.0075915Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0076104Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0076229Z                 'obj_weakref': None
2022-11-23T01:32:30.0076455Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0076524Z             }
2022-11-23T01:32:30.0076591Z             
2022-11-23T01:32:30.0076659Z  - 
2022-11-23T01:32:30.0076787Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0076855Z             {
2022-11-23T01:32:30.0077000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0077111Z                 'code': None,
2022-11-23T01:32:30.0077322Z                 'obj_weakref': <weakref at 0x7f20606cf330; to 'Tensor' at 0x7f2072811b20>
2022-11-23T01:32:30.0077572Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0077637Z             }
2022-11-23T01:32:30.0077705Z             
2022-11-23T01:32:30.0077780Z  - 
2022-11-23T01:32:30.0077917Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0077985Z             {
2022-11-23T01:32:30.0078124Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0078303Z                 'code': ['___check_obj_id(model, 139776006404224)'],
2022-11-23T01:32:30.0078418Z                 'obj_weakref': None
2022-11-23T01:32:30.0078649Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0078717Z             }
2022-11-23T01:32:30.0078785Z             
2022-11-23T01:32:30.0078859Z  - 
2022-11-23T01:32:30.0078985Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0079053Z             {
2022-11-23T01:32:30.0079189Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0079405Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0079529Z                 'obj_weakref': None
2022-11-23T01:32:30.0079752Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0079821Z             }
2022-11-23T01:32:30.0079890Z             
2022-11-23T01:32:30.0079964Z  - 
2022-11-23T01:32:30.0080091Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0080160Z             {
2022-11-23T01:32:30.0080283Z                 'guard_types': None,
2022-11-23T01:32:30.0080394Z                 'code': None,
2022-11-23T01:32:30.0080515Z                 'obj_weakref': None
2022-11-23T01:32:30.0080640Z                 'guarded_class': None
2022-11-23T01:32:30.0080708Z             }
2022-11-23T01:32:30.0080769Z             
2022-11-23T01:32:30.0081058Z [2022-11-23 01:24:48,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129
2022-11-23T01:32:30.0081423Z [2022-11-23 01:24:50,293] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fc/cfcjscstcelbd4fos5mmmjk3ctdtrdcje36ev4bdah5usqvn7ixz.py
2022-11-23T01:32:30.0081713Z [2022-11-23 01:24:50,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129
2022-11-23T01:32:30.0081718Z 
2022-11-23T01:32:30.0081820Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0081895Z import torch
2022-11-23T01:32:30.0081985Z import random
2022-11-23T01:32:30.0082112Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0082259Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0082264Z 
2022-11-23T01:32:30.0082347Z aten = torch.ops.aten
2022-11-23T01:32:30.0082487Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0082584Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0082589Z 
2022-11-23T01:32:30.0082667Z import triton
2022-11-23T01:32:30.0082760Z import triton.language as tl
2022-11-23T01:32:30.0082889Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0083027Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0083032Z 
2022-11-23T01:32:30.0083044Z 
2022-11-23T01:32:30.0083173Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0083382Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0083506Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0083613Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0083716Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.0083784Z {
2022-11-23T01:32:30.0083887Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0083947Z     {
2022-11-23T01:32:30.0084029Z         #pragma omp for 
2022-11-23T01:32:30.0084121Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:30.0084187Z         {
2022-11-23T01:32:30.0084257Z             {
2022-11-23T01:32:30.0084326Z                 {
2022-11-23T01:32:30.0084418Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0084532Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:30.0084632Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:32:30.0084742Z                     auto tmp3 = static_cast<float>(0.2);
2022-11-23T01:32:30.0084839Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:30.0084943Z                     auto tmp5 = tmp2 ? tmp0 : tmp4;
2022-11-23T01:32:30.0085053Z                     auto tmp6 = static_cast<float>(2);
2022-11-23T01:32:30.0085149Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:30.0085250Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:30.0085345Z                     auto tmp9 = tmp0 + tmp8;
2022-11-23T01:32:30.0085441Z                     auto tmp10 = tmp9 > tmp1;
2022-11-23T01:32:30.0085557Z                     auto tmp11 = static_cast<float>(0.01);
2022-11-23T01:32:30.0085657Z                     auto tmp12 = tmp9 * tmp11;
2022-11-23T01:32:30.0085762Z                     auto tmp13 = tmp10 ? tmp9 : tmp12;
2022-11-23T01:32:30.0085857Z                     out_ptr0[i0] = tmp7;
2022-11-23T01:32:30.0085941Z                     out_ptr1[i0] = tmp13;
2022-11-23T01:32:30.0086011Z                 }
2022-11-23T01:32:30.0086080Z             }
2022-11-23T01:32:30.0086145Z         }
2022-11-23T01:32:30.0086212Z     }
2022-11-23T01:32:30.0086276Z }
2022-11-23T01:32:30.0086355Z ''')
2022-11-23T01:32:30.0086367Z 
2022-11-23T01:32:30.0086372Z 
2022-11-23T01:32:30.0086459Z async_compile.wait(globals())
2022-11-23T01:32:30.0086536Z del async_compile
2022-11-23T01:32:30.0086541Z 
2022-11-23T01:32:30.0086616Z def call(args):
2022-11-23T01:32:30.0086690Z     arg0_1, = args
2022-11-23T01:32:30.0086766Z     args.clear()
2022-11-23T01:32:30.0087005Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0087209Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0087374Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0087470Z     del arg0_1
2022-11-23T01:32:30.0087555Z     return (buf0, buf1, )
2022-11-23T01:32:30.0087560Z 
2022-11-23T01:32:30.0087565Z 
2022-11-23T01:32:30.0087645Z if __name__ == "__main__":
2022-11-23T01:32:30.0087767Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0087899Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0088102Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0088214Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0088219Z 
2022-11-23T01:32:30.0088283Z ok (1.578s)
2022-11-23T01:32:30.0088595Z   test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:24:50,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0088908Z [2022-11-23 01:24:50,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0089133Z [2022-11-23 01:24:50,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0089388Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0089664Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0089981Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0090327Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0090647Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0091012Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125> 
2022-11-23T01:32:30.0091118Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0091213Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T01:32:30.0091311Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0091429Z                6 CALL_METHOD              1
2022-11-23T01:32:30.0091534Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.0091631Z               10 BINARY_ADD
2022-11-23T01:32:30.0091730Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0091830Z               14 LOAD_METHOD              2 (cos)
2022-11-23T01:32:30.0091921Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0092018Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0092096Z               20 BINARY_ADD
2022-11-23T01:32:30.0092193Z               22 CALL_METHOD              1
2022-11-23T01:32:30.0092288Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.0092368Z               26 RETURN_VALUE
2022-11-23T01:32:30.0092435Z  
2022-11-23T01:32:30.0092440Z 
2022-11-23T01:32:30.0092744Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126
2022-11-23T01:32:30.0092962Z [2022-11-23 01:24:50,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0093266Z [2022-11-23 01:24:50,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0093564Z [2022-11-23 01:24:50,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T01:32:30.0093850Z [2022-11-23 01:24:50,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T01:32:30.0094113Z [2022-11-23 01:24:50,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.0094391Z [2022-11-23 01:24:50,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0094635Z [2022-11-23 01:24:50,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.0094961Z [2022-11-23 01:24:50,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0095232Z [2022-11-23 01:24:50,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:30.0095527Z [2022-11-23 01:24:50,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:30.0095867Z [2022-11-23 01:24:50,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0096170Z [2022-11-23 01:24:50,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:30.0096441Z [2022-11-23 01:24:50,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0096686Z [2022-11-23 01:24:50,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0097068Z [2022-11-23 01:24:50,313] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125>
2022-11-23T01:32:30.0097312Z [2022-11-23 01:24:50,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0097546Z [2022-11-23 01:24:50,314] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0097803Z [2022-11-23 01:24:50,315] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0098050Z [2022-11-23 01:24:50,318] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0098238Z [2022-11-23 01:24:50,318] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0098376Z  __compiled_fn_137 <eval_with_key>.843 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0098470Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0098585Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T01:32:30.0098766Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T01:32:30.0099072Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.0099180Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T01:32:30.0099278Z output, output, output, ((add, cos),), {}
2022-11-23T01:32:30.0099292Z 
2022-11-23T01:32:30.0099607Z [2022-11-23 01:24:50,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0099708Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0099806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0099899Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0100000Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0100090Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0100184Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0100258Z              12 RETURN_VALUE
2022-11-23T01:32:30.0100272Z 
2022-11-23T01:32:30.0100330Z  
2022-11-23T01:32:30.0100703Z [2022-11-23 01:24:50,318] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0100823Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_137)
2022-11-23T01:32:30.0100948Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0101044Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0101127Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0101222Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0101326Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0101434Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0101532Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0101613Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0101718Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0101813Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0101900Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0101986Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0102067Z              26 RETURN_VALUE
2022-11-23T01:32:30.0102076Z 
2022-11-23T01:32:30.0102140Z  
2022-11-23T01:32:30.0102329Z [2022-11-23 01:24:50,319] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0102405Z  - 
2022-11-23T01:32:30.0102529Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0102596Z             {
2022-11-23T01:32:30.0102735Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0102926Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0103051Z                 'obj_weakref': None
2022-11-23T01:32:30.0103279Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0103349Z             }
2022-11-23T01:32:30.0103416Z             
2022-11-23T01:32:30.0103492Z  - 
2022-11-23T01:32:30.0103616Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0103685Z             {
2022-11-23T01:32:30.0103833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0103945Z                 'code': None,
2022-11-23T01:32:30.0104161Z                 'obj_weakref': <weakref at 0x7f2023072cf0; to 'Tensor' at 0x7f2068082250>
2022-11-23T01:32:30.0104410Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0104479Z             }
2022-11-23T01:32:30.0104540Z             
2022-11-23T01:32:30.0104616Z  - 
2022-11-23T01:32:30.0104753Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0104822Z             {
2022-11-23T01:32:30.0104963Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0105139Z                 'code': ['___check_obj_id(model, 139776006404224)'],
2022-11-23T01:32:30.0105260Z                 'obj_weakref': None
2022-11-23T01:32:30.0105481Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0105551Z             }
2022-11-23T01:32:30.0105619Z             
2022-11-23T01:32:30.0105692Z  - 
2022-11-23T01:32:30.0105819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0105891Z             {
2022-11-23T01:32:30.0106031Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0106238Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0106360Z                 'obj_weakref': None
2022-11-23T01:32:30.0106584Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0106653Z             }
2022-11-23T01:32:30.0106720Z             
2022-11-23T01:32:30.0106794Z  - 
2022-11-23T01:32:30.0106929Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0106990Z             {
2022-11-23T01:32:30.0107113Z                 'guard_types': None,
2022-11-23T01:32:30.0107224Z                 'code': None,
2022-11-23T01:32:30.0107382Z                 'obj_weakref': None
2022-11-23T01:32:30.0107510Z                 'guarded_class': None
2022-11-23T01:32:30.0107578Z             }
2022-11-23T01:32:30.0107646Z             
2022-11-23T01:32:30.0107921Z [2022-11-23 01:24:50,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130
2022-11-23T01:32:30.0108283Z [2022-11-23 01:24:51,861] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcnwtaecfv4zvo6agxmgaprten437tyeezx3lmptziclk5gkjd5.py
2022-11-23T01:32:30.0108549Z [2022-11-23 01:24:51,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130
2022-11-23T01:32:30.0108556Z 
2022-11-23T01:32:30.0108656Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0108730Z import torch
2022-11-23T01:32:30.0108805Z import random
2022-11-23T01:32:30.0108926Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0109055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0109060Z 
2022-11-23T01:32:30.0109135Z aten = torch.ops.aten
2022-11-23T01:32:30.0109275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0109376Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0109381Z 
2022-11-23T01:32:30.0109456Z import triton
2022-11-23T01:32:30.0109549Z import triton.language as tl
2022-11-23T01:32:30.0109674Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0109816Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0109822Z 
2022-11-23T01:32:30.0109826Z 
2022-11-23T01:32:30.0109965Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0110168Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0110405Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0110527Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0110648Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.0110730Z {
2022-11-23T01:32:30.0110852Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0110919Z     {
2022-11-23T01:32:30.0110995Z         #pragma omp for 
2022-11-23T01:32:30.0111088Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.0111159Z         {
2022-11-23T01:32:30.0111304Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0111398Z             auto tmp1 = tmp0.lgamma();
2022-11-23T01:32:30.0111539Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.0111632Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.0111770Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.0111852Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.0111942Z             auto tmp6 = tmp5.cos();
2022-11-23T01:32:30.0112039Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0112142Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.0112210Z         }
2022-11-23T01:32:30.0112310Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0112399Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.0112463Z         {
2022-11-23T01:32:30.0112552Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0112653Z             auto tmp1 = std::lgamma(tmp0);
2022-11-23T01:32:30.0112757Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:30.0112846Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.0112950Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:30.0113039Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.0113127Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:32:30.0113213Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.0113298Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.0113367Z         }
2022-11-23T01:32:30.0113433Z     }
2022-11-23T01:32:30.0113497Z }
2022-11-23T01:32:30.0113578Z ''')
2022-11-23T01:32:30.0113590Z 
2022-11-23T01:32:30.0113629Z 
2022-11-23T01:32:30.0113717Z async_compile.wait(globals())
2022-11-23T01:32:30.0113798Z del async_compile
2022-11-23T01:32:30.0113803Z 
2022-11-23T01:32:30.0113880Z def call(args):
2022-11-23T01:32:30.0113977Z     arg0_1, = args
2022-11-23T01:32:30.0114053Z     args.clear()
2022-11-23T01:32:30.0114262Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0114465Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0114627Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0114702Z     del arg0_1
2022-11-23T01:32:30.0114785Z     return (buf0, buf1, )
2022-11-23T01:32:30.0114790Z 
2022-11-23T01:32:30.0114795Z 
2022-11-23T01:32:30.0114875Z if __name__ == "__main__":
2022-11-23T01:32:30.0114995Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0115122Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0115329Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0115442Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0115451Z 
2022-11-23T01:32:30.0115516Z ok (1.567s)
2022-11-23T01:32:30.0115823Z   test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0116140Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0116360Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0116605Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.0116871Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.0117182Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0117511Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0117820Z [2022-11-23 01:24:51,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0118195Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:30.0118287Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:30.0118382Z               2 BUILD_TUPLE              1
2022-11-23T01:32:30.0118464Z               4 RETURN_VALUE
2022-11-23T01:32:30.0118531Z  
2022-11-23T01:32:30.0118539Z 
2022-11-23T01:32:30.0118846Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:30.0119060Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.0119301Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.0119545Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0119921Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:30.0120158Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0120418Z [2022-11-23 01:24:51,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0120675Z [2022-11-23 01:24:51,873] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0120944Z [2022-11-23 01:24:51,879] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0121135Z [2022-11-23 01:24:51,879] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0121275Z  __compiled_fn_138 <eval_with_key>.849 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0121370Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0121476Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.0121577Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:30.0121683Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:30.0121688Z 
2022-11-23T01:32:30.0122061Z [2022-11-23 01:24:51,879] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0122163Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0122259Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0122353Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0122458Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0122550Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0122637Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0122718Z              12 RETURN_VALUE
2022-11-23T01:32:30.0122723Z 
2022-11-23T01:32:30.0122790Z  
2022-11-23T01:32:30.0123112Z [2022-11-23 01:24:51,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0123230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_138)
2022-11-23T01:32:30.0123326Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0123427Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0123512Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0123599Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0123711Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0123824Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0123919Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0124002Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0124095Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.0124175Z              20 RETURN_VALUE
2022-11-23T01:32:30.0124181Z 
2022-11-23T01:32:30.0124238Z  
2022-11-23T01:32:30.0124428Z [2022-11-23 01:24:51,880] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0124503Z  - 
2022-11-23T01:32:30.0124628Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0124696Z             {
2022-11-23T01:32:30.0124843Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0125037Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0125155Z                 'obj_weakref': None
2022-11-23T01:32:30.0125379Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0125451Z             }
2022-11-23T01:32:30.0125518Z             
2022-11-23T01:32:30.0125593Z  - 
2022-11-23T01:32:30.0125719Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0125788Z             {
2022-11-23T01:32:30.0125927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0126037Z                 'code': None,
2022-11-23T01:32:30.0126245Z                 'obj_weakref': <weakref at 0x7f2023070f40; to 'Tensor' at 0x7f2023073880>
2022-11-23T01:32:30.0126495Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0126564Z             }
2022-11-23T01:32:30.0126633Z             
2022-11-23T01:32:30.0126709Z  - 
2022-11-23T01:32:30.0126856Z             local 'model' NN_MODULE
2022-11-23T01:32:30.0126928Z             {
2022-11-23T01:32:30.0127066Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0127242Z                 'code': ['___check_obj_id(model, 139777028039168)'],
2022-11-23T01:32:30.0127484Z                 'obj_weakref': <weakref at 0x7f20681c6cf0; to 'Sequential' at 0x7f20601aa200>
2022-11-23T01:32:30.0127719Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.0127791Z             }
2022-11-23T01:32:30.0127852Z             
2022-11-23T01:32:30.0127926Z  - 
2022-11-23T01:32:30.0128050Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0128119Z             {
2022-11-23T01:32:30.0128259Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0128475Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0128599Z                 'obj_weakref': None
2022-11-23T01:32:30.0128813Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0128883Z             }
2022-11-23T01:32:30.0128953Z             
2022-11-23T01:32:30.0129027Z  - 
2022-11-23T01:32:30.0129180Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.0129248Z             {
2022-11-23T01:32:30.0129371Z                 'guard_types': None,
2022-11-23T01:32:30.0129475Z                 'code': None,
2022-11-23T01:32:30.0129595Z                 'obj_weakref': None
2022-11-23T01:32:30.0129718Z                 'guarded_class': None
2022-11-23T01:32:30.0129787Z             }
2022-11-23T01:32:30.0129856Z             
2022-11-23T01:32:30.0129930Z  - 
2022-11-23T01:32:30.0130077Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.0130138Z             {
2022-11-23T01:32:30.0130259Z                 'guard_types': None,
2022-11-23T01:32:30.0130369Z                 'code': None,
2022-11-23T01:32:30.0130491Z                 'obj_weakref': None
2022-11-23T01:32:30.0130618Z                 'guarded_class': None
2022-11-23T01:32:30.0130686Z             }
2022-11-23T01:32:30.0130746Z             
2022-11-23T01:32:30.0130821Z  - 
2022-11-23T01:32:30.0130968Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:30.0131040Z             {
2022-11-23T01:32:30.0131161Z                 'guard_types': None,
2022-11-23T01:32:30.0131277Z                 'code': None,
2022-11-23T01:32:30.0131416Z                 'obj_weakref': None
2022-11-23T01:32:30.0131558Z                 'guarded_class': None
2022-11-23T01:32:30.0131626Z             }
2022-11-23T01:32:30.0131693Z             
2022-11-23T01:32:30.0131951Z [2022-11-23 01:24:51,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131
2022-11-23T01:32:30.0132308Z [2022-11-23 01:24:53,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3r/c3rxzmgtr7jjkepub5xvfk7y2bk3ktho5caw3k3ahbsb4xbgg7nq.py
2022-11-23T01:32:30.0132573Z [2022-11-23 01:24:53,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131
2022-11-23T01:32:30.0132580Z 
2022-11-23T01:32:30.0132679Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0132752Z import torch
2022-11-23T01:32:30.0132822Z import random
2022-11-23T01:32:30.0132943Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0133069Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0133075Z 
2022-11-23T01:32:30.0133160Z aten = torch.ops.aten
2022-11-23T01:32:30.0133298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0133395Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0133400Z 
2022-11-23T01:32:30.0133475Z import triton
2022-11-23T01:32:30.0133568Z import triton.language as tl
2022-11-23T01:32:30.0133688Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0133830Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0133836Z 
2022-11-23T01:32:30.0133841Z 
2022-11-23T01:32:30.0134008Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0134223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0134371Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.0134434Z {
2022-11-23T01:32:30.0134536Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0134595Z     {
2022-11-23T01:32:30.0134677Z         #pragma omp for 
2022-11-23T01:32:30.0134765Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.0134831Z         {
2022-11-23T01:32:30.0134978Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0135120Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:30.0135224Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0135284Z         }
2022-11-23T01:32:30.0135386Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0135477Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.0135544Z         {
2022-11-23T01:32:30.0135638Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0135776Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:30.0135866Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:30.0135947Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0136015Z         }
2022-11-23T01:32:30.0136080Z     }
2022-11-23T01:32:30.0136147Z }
2022-11-23T01:32:30.0136231Z ''')
2022-11-23T01:32:30.0136236Z 
2022-11-23T01:32:30.0136241Z 
2022-11-23T01:32:30.0136332Z async_compile.wait(globals())
2022-11-23T01:32:30.0136411Z del async_compile
2022-11-23T01:32:30.0136416Z 
2022-11-23T01:32:30.0136491Z def call(args):
2022-11-23T01:32:30.0136591Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:30.0136665Z     args.clear()
2022-11-23T01:32:30.0136866Z     buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0137037Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:30.0137114Z     del primals_1
2022-11-23T01:32:30.0137190Z     del primals_2
2022-11-23T01:32:30.0137280Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.0137383Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0137483Z     return (buf1, primals_3, buf1, )
2022-11-23T01:32:30.0137488Z 
2022-11-23T01:32:30.0137493Z 
2022-11-23T01:32:30.0137577Z if __name__ == "__main__":
2022-11-23T01:32:30.0137696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0137823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0138029Z     primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0138229Z     primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0138430Z     primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0138571Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:30.0138577Z 
2022-11-23T01:32:30.0138649Z ok (1.589s)
2022-11-23T01:32:30.0139150Z   test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:53,454] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0139469Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0139690Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0139933Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.0140204Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.0140578Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0140908Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0141243Z [2022-11-23 01:24:53,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0141484Z [2022-11-23 01:24:53,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0141719Z [2022-11-23 01:24:53,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0141972Z [2022-11-23 01:24:53,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0142222Z [2022-11-23 01:24:53,496] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0142417Z [2022-11-23 01:24:53,496] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0142556Z  __compiled_fn_139 <eval_with_key>.860 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0142652Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0142759Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.0142864Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:30.0142968Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T01:32:30.0143074Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T01:32:30.0143178Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T01:32:30.0143285Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T01:32:30.0143388Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T01:32:30.0143492Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T01:32:30.0143589Z output, output, output, ((model_7,),), {}
2022-11-23T01:32:30.0143604Z 
2022-11-23T01:32:30.0143922Z [2022-11-23 01:24:53,497] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0144024Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0144122Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0144218Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0144316Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0144409Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0144504Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0144579Z              12 RETURN_VALUE
2022-11-23T01:32:30.0144584Z 
2022-11-23T01:32:30.0144649Z  
2022-11-23T01:32:30.0144970Z [2022-11-23 01:24:53,497] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0145086Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_139)
2022-11-23T01:32:30.0145184Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0145283Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0145366Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0145460Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0145549Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0145632Z              12 RETURN_VALUE
2022-11-23T01:32:30.0145637Z 
2022-11-23T01:32:30.0145703Z  
2022-11-23T01:32:30.0145890Z [2022-11-23 01:24:53,497] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0145965Z  - 
2022-11-23T01:32:30.0146089Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0146158Z             {
2022-11-23T01:32:30.0146295Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0146485Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0146608Z                 'obj_weakref': None
2022-11-23T01:32:30.0146831Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0146900Z             }
2022-11-23T01:32:30.0146999Z             
2022-11-23T01:32:30.0147076Z  - 
2022-11-23T01:32:30.0147197Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0147267Z             {
2022-11-23T01:32:30.0147413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0147552Z                 'code': None,
2022-11-23T01:32:30.0147761Z                 'obj_weakref': <weakref at 0x7f2023097650; to 'Tensor' at 0x7f2023070e50>
2022-11-23T01:32:30.0148010Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0148080Z             }
2022-11-23T01:32:30.0148142Z             
2022-11-23T01:32:30.0148222Z  - 
2022-11-23T01:32:30.0148349Z             local 'model' NN_MODULE
2022-11-23T01:32:30.0148418Z             {
2022-11-23T01:32:30.0148561Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0148736Z                 'code': ['___check_obj_id(model, 139777033610640)'],
2022-11-23T01:32:30.0148960Z                 'obj_weakref': <weakref at 0x7f202305ac00; to 'Sequential' at 0x7f20606fa590>
2022-11-23T01:32:30.0149188Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.0149263Z             }
2022-11-23T01:32:30.0149330Z             
2022-11-23T01:32:30.0149408Z  - 
2022-11-23T01:32:30.0149535Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0149603Z             {
2022-11-23T01:32:30.0149743Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0149955Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0150079Z                 'obj_weakref': None
2022-11-23T01:32:30.0150368Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0150444Z             }
2022-11-23T01:32:30.0150512Z             
2022-11-23T01:32:30.0150589Z  - 
2022-11-23T01:32:30.0150737Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.0150802Z             {
2022-11-23T01:32:30.0150927Z                 'guard_types': None,
2022-11-23T01:32:30.0151038Z                 'code': None,
2022-11-23T01:32:30.0151159Z                 'obj_weakref': None
2022-11-23T01:32:30.0151289Z                 'guarded_class': None
2022-11-23T01:32:30.0151359Z             }
2022-11-23T01:32:30.0151428Z             
2022-11-23T01:32:30.0151496Z  - 
2022-11-23T01:32:30.0151645Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.0151714Z             {
2022-11-23T01:32:30.0151838Z                 'guard_types': None,
2022-11-23T01:32:30.0151950Z                 'code': None,
2022-11-23T01:32:30.0152073Z                 'obj_weakref': None
2022-11-23T01:32:30.0152191Z                 'guarded_class': None
2022-11-23T01:32:30.0152260Z             }
2022-11-23T01:32:30.0152328Z             
2022-11-23T01:32:30.0152404Z  - 
2022-11-23T01:32:30.0152550Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:30.0152618Z             {
2022-11-23T01:32:30.0152743Z                 'guard_types': None,
2022-11-23T01:32:30.0152847Z                 'code': None,
2022-11-23T01:32:30.0152968Z                 'obj_weakref': None
2022-11-23T01:32:30.0153097Z                 'guarded_class': None
2022-11-23T01:32:30.0153165Z             }
2022-11-23T01:32:30.0153233Z             
2022-11-23T01:32:30.0153308Z  - 
2022-11-23T01:32:30.0153454Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T01:32:30.0153515Z             {
2022-11-23T01:32:30.0153636Z                 'guard_types': None,
2022-11-23T01:32:30.0153746Z                 'code': None,
2022-11-23T01:32:30.0153866Z                 'obj_weakref': None
2022-11-23T01:32:30.0153991Z                 'guarded_class': None
2022-11-23T01:32:30.0154061Z             }
2022-11-23T01:32:30.0154122Z             
2022-11-23T01:32:30.0154197Z  - 
2022-11-23T01:32:30.0154347Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T01:32:30.0154414Z             {
2022-11-23T01:32:30.0154573Z                 'guard_types': None,
2022-11-23T01:32:30.0154685Z                 'code': None,
2022-11-23T01:32:30.0154809Z                 'obj_weakref': None
2022-11-23T01:32:30.0154925Z                 'guarded_class': None
2022-11-23T01:32:30.0155018Z             }
2022-11-23T01:32:30.0155087Z             
2022-11-23T01:32:30.0155162Z  - 
2022-11-23T01:32:30.0155307Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T01:32:30.0155375Z             {
2022-11-23T01:32:30.0155499Z                 'guard_types': None,
2022-11-23T01:32:30.0155602Z                 'code': None,
2022-11-23T01:32:30.0155723Z                 'obj_weakref': None
2022-11-23T01:32:30.0155846Z                 'guarded_class': None
2022-11-23T01:32:30.0155915Z             }
2022-11-23T01:32:30.0155984Z             
2022-11-23T01:32:30.0156061Z  - 
2022-11-23T01:32:30.0156201Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T01:32:30.0156269Z             {
2022-11-23T01:32:30.0156391Z                 'guard_types': None,
2022-11-23T01:32:30.0156505Z                 'code': None,
2022-11-23T01:32:30.0156626Z                 'obj_weakref': None
2022-11-23T01:32:30.0156752Z                 'guarded_class': None
2022-11-23T01:32:30.0156826Z             }
2022-11-23T01:32:30.0156887Z             
2022-11-23T01:32:30.0156962Z  - 
2022-11-23T01:32:30.0157108Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T01:32:30.0157177Z             {
2022-11-23T01:32:30.0157299Z                 'guard_types': None,
2022-11-23T01:32:30.0157409Z                 'code': None,
2022-11-23T01:32:30.0157530Z                 'obj_weakref': None
2022-11-23T01:32:30.0157647Z                 'guarded_class': None
2022-11-23T01:32:30.0157716Z             }
2022-11-23T01:32:30.0157785Z             
2022-11-23T01:32:30.0158047Z [2022-11-23 01:24:53,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132
2022-11-23T01:32:30.0158413Z [2022-11-23 01:24:55,249] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sl/cslwlign7mq3wx3bmvxlkirpkhwh7fkvy6i3r4vrsibisfrybfru.py
2022-11-23T01:32:30.0158678Z [2022-11-23 01:24:55,249] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132
2022-11-23T01:32:30.0158687Z 
2022-11-23T01:32:30.0158786Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0158864Z import torch
2022-11-23T01:32:30.0158930Z import random
2022-11-23T01:32:30.0159051Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0159177Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0159183Z 
2022-11-23T01:32:30.0159266Z aten = torch.ops.aten
2022-11-23T01:32:30.0159405Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0159503Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0159508Z 
2022-11-23T01:32:30.0159581Z import triton
2022-11-23T01:32:30.0159666Z import triton.language as tl
2022-11-23T01:32:30.0159793Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0159939Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0159944Z 
2022-11-23T01:32:30.0159949Z 
2022-11-23T01:32:30.0160086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0160299Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0160423Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.0160486Z {
2022-11-23T01:32:30.0160589Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0160648Z     {
2022-11-23T01:32:30.0160729Z         #pragma omp for 
2022-11-23T01:32:30.0160816Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.0160884Z         {
2022-11-23T01:32:30.0161031Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0161168Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:30.0161272Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0161332Z         }
2022-11-23T01:32:30.0161465Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0161557Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.0161625Z         {
2022-11-23T01:32:30.0161744Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0161855Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.0161950Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0162024Z         }
2022-11-23T01:32:30.0162099Z     }
2022-11-23T01:32:30.0162164Z }
2022-11-23T01:32:30.0162251Z ''')
2022-11-23T01:32:30.0162257Z 
2022-11-23T01:32:30.0162262Z 
2022-11-23T01:32:30.0162398Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:30.0162606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0162729Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.0162787Z {
2022-11-23T01:32:30.0162887Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0162958Z     {
2022-11-23T01:32:30.0163042Z         #pragma omp for 
2022-11-23T01:32:30.0163130Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.0163197Z         {
2022-11-23T01:32:30.0163339Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0163469Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:30.0163572Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0163640Z         }
2022-11-23T01:32:30.0163739Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0163826Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.0163893Z         {
2022-11-23T01:32:30.0163987Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0164072Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.0164162Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0164231Z         }
2022-11-23T01:32:30.0164297Z     }
2022-11-23T01:32:30.0164361Z }
2022-11-23T01:32:30.0164446Z ''')
2022-11-23T01:32:30.0164452Z 
2022-11-23T01:32:30.0164457Z 
2022-11-23T01:32:30.0164593Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:32:30.0164790Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0164916Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.0164982Z {
2022-11-23T01:32:30.0165082Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0165148Z     {
2022-11-23T01:32:30.0165230Z         #pragma omp for 
2022-11-23T01:32:30.0165315Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.0165376Z         {
2022-11-23T01:32:30.0165518Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0165652Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:30.0165753Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.0165820Z         }
2022-11-23T01:32:30.0165919Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0166007Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.0166077Z         {
2022-11-23T01:32:30.0166163Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0166254Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.0166345Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0166415Z         }
2022-11-23T01:32:30.0166482Z     }
2022-11-23T01:32:30.0166550Z }
2022-11-23T01:32:30.0166628Z ''')
2022-11-23T01:32:30.0166633Z 
2022-11-23T01:32:30.0166646Z 
2022-11-23T01:32:30.0166773Z kernel_cpp_3 = async_compile.cpp('''
2022-11-23T01:32:30.0166974Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0167097Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0167204Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:30.0167268Z {
2022-11-23T01:32:30.0167371Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0167438Z     {
2022-11-23T01:32:30.0167512Z         #pragma omp for 
2022-11-23T01:32:30.0167625Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0167694Z         {
2022-11-23T01:32:30.0167762Z             {
2022-11-23T01:32:30.0167832Z                 {
2022-11-23T01:32:30.0167937Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0168054Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.0168166Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:30.0168264Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:32:30.0168358Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0168448Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.0168518Z                 }
2022-11-23T01:32:30.0168587Z             }
2022-11-23T01:32:30.0168647Z         }
2022-11-23T01:32:30.0168712Z     }
2022-11-23T01:32:30.0168775Z }
2022-11-23T01:32:30.0168860Z ''')
2022-11-23T01:32:30.0168865Z 
2022-11-23T01:32:30.0168870Z 
2022-11-23T01:32:30.0168964Z async_compile.wait(globals())
2022-11-23T01:32:30.0169039Z del async_compile
2022-11-23T01:32:30.0169047Z 
2022-11-23T01:32:30.0169126Z def call(args):
2022-11-23T01:32:30.0169303Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T01:32:30.0169377Z     args.clear()
2022-11-23T01:32:30.0169573Z     buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0169743Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:30.0169823Z     del primals_1
2022-11-23T01:32:30.0169899Z     del primals_2
2022-11-23T01:32:30.0169989Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.0170098Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0170285Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0170448Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T01:32:30.0170523Z     del primals_4
2022-11-23T01:32:30.0170612Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:30.0170719Z     kernel_cpp_1(c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.0170912Z     buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0171077Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T01:32:30.0171154Z     del primals_6
2022-11-23T01:32:30.0171236Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:30.0171341Z     kernel_cpp_2(c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.0171533Z     buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0171695Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T01:32:30.0171772Z     del primals_8
2022-11-23T01:32:30.0171860Z     buf7 = buf6; del buf6  # reuse
2022-11-23T01:32:30.0172048Z     buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0172182Z     kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:30.0172386Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T01:32:30.0172395Z 
2022-11-23T01:32:30.0172400Z 
2022-11-23T01:32:30.0172481Z if __name__ == "__main__":
2022-11-23T01:32:30.0172599Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0172727Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0172928Z     primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0173128Z     primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0173326Z     primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0173524Z     primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0173740Z     primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0173937Z     primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0174132Z     primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0174345Z     primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0174543Z     primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0174754Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T01:32:30.0174760Z 
2022-11-23T01:32:30.0174832Z ok (1.800s)
2022-11-23T01:32:30.0174959Z   test_linear_binary_cpu (__main__.CpuTests) ... ok (0.019s)
2022-11-23T01:32:30.0175078Z   test_linear_unary_cpu (__main__.CpuTests) ... ok (0.001s)
2022-11-23T01:32:30.0175387Z   test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0175704Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0175929Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0176182Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0176457Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0176771Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0177111Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0177429Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0177801Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908> 
2022-11-23T01:32:30.0177896Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0178000Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T01:32:30.0178100Z               4 LOAD_CONST               1 (0.125)
2022-11-23T01:32:30.0178194Z               6 LOAD_CONST               2 (0.875)
2022-11-23T01:32:30.0178290Z               8 LOAD_CONST               3 (7)
2022-11-23T01:32:30.0178385Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0178483Z              12 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.0178631Z              14 LOAD_CONST               4 (('device',))
2022-11-23T01:32:30.0178729Z              16 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.0179038Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0179125Z              20 BINARY_ADD
2022-11-23T01:32:30.0179206Z              22 RETURN_VALUE
2022-11-23T01:32:30.0179274Z  
2022-11-23T01:32:30.0179279Z 
2022-11-23T01:32:30.0179594Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909
2022-11-23T01:32:30.0179813Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0180170Z [2022-11-23 01:24:55,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0180586Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0180950Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:30.0181379Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:30.0181810Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:30.0182271Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.0182743Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:30.0183248Z [2022-11-23 01:24:55,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.0183486Z [2022-11-23 01:24:55,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.0183760Z [2022-11-23 01:24:55,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0184010Z [2022-11-23 01:24:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0184378Z [2022-11-23 01:24:55,279] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908>
2022-11-23T01:32:30.0184628Z [2022-11-23 01:24:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0184862Z [2022-11-23 01:24:55,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0185107Z [2022-11-23 01:24:55,280] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0185357Z [2022-11-23 01:24:55,283] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0185547Z [2022-11-23 01:24:55,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0185684Z  __compiled_fn_140 <eval_with_key>.871 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0185782Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0186072Z call_function, linspace, <built-in method linspace of type object at 0x7f209c394c60>, (0.125, 0.875, 7), {'device': device(type='cpu')}
2022-11-23T01:32:30.0186262Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T01:32:30.0186363Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.0186369Z 
2022-11-23T01:32:30.0186689Z [2022-11-23 01:24:55,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0186784Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0186882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0186978Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0187077Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0187170Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0187304Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0187388Z              12 RETURN_VALUE
2022-11-23T01:32:30.0187393Z 
2022-11-23T01:32:30.0187451Z  
2022-11-23T01:32:30.0187770Z [2022-11-23 01:24:55,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0187912Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_140)
2022-11-23T01:32:30.0188008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0188105Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0188189Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0188281Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0188381Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0188454Z              12 RETURN_VALUE
2022-11-23T01:32:30.0188459Z 
2022-11-23T01:32:30.0188524Z  
2022-11-23T01:32:30.0188711Z [2022-11-23 01:24:55,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0188789Z  - 
2022-11-23T01:32:30.0188913Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0188982Z             {
2022-11-23T01:32:30.0189128Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0189314Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0189438Z                 'obj_weakref': None
2022-11-23T01:32:30.0189660Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0189733Z             }
2022-11-23T01:32:30.0189804Z             
2022-11-23T01:32:30.0189880Z  - 
2022-11-23T01:32:30.0190006Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.0190067Z             {
2022-11-23T01:32:30.0190208Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.0190464Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.0190674Z                 'obj_weakref': <weakref at 0x7f20230641d0; to 'Tensor' at 0x7f2151eece50>
2022-11-23T01:32:30.0190925Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0190994Z             }
2022-11-23T01:32:30.0191066Z             
2022-11-23T01:32:30.0191133Z  - 
2022-11-23T01:32:30.0191260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0191329Z             {
2022-11-23T01:32:30.0191478Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0191591Z                 'code': None,
2022-11-23T01:32:30.0191796Z                 'obj_weakref': <weakref at 0x7f20230641d0; to 'Tensor' at 0x7f2151eece50>
2022-11-23T01:32:30.0192036Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0192098Z             }
2022-11-23T01:32:30.0192170Z             
2022-11-23T01:32:30.0192245Z  - 
2022-11-23T01:32:30.0192379Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0192447Z             {
2022-11-23T01:32:30.0192589Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0192762Z                 'code': ['___check_obj_id(model, 139776007116192)'],
2022-11-23T01:32:30.0192877Z                 'obj_weakref': None
2022-11-23T01:32:30.0193105Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0193175Z             }
2022-11-23T01:32:30.0193244Z             
2022-11-23T01:32:30.0193318Z  - 
2022-11-23T01:32:30.0193442Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0193511Z             {
2022-11-23T01:32:30.0193642Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0193863Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0193985Z                 'obj_weakref': None
2022-11-23T01:32:30.0194208Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0194277Z             }
2022-11-23T01:32:30.0194377Z             
2022-11-23T01:32:30.0194451Z  - 
2022-11-23T01:32:30.0194580Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0194649Z             {
2022-11-23T01:32:30.0194796Z                 'guard_types': None,
2022-11-23T01:32:30.0194908Z                 'code': None,
2022-11-23T01:32:30.0195030Z                 'obj_weakref': None
2022-11-23T01:32:30.0195155Z                 'guarded_class': None
2022-11-23T01:32:30.0195223Z             }
2022-11-23T01:32:30.0195283Z             
2022-11-23T01:32:30.0195545Z [2022-11-23 01:24:55,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133
2022-11-23T01:32:30.0195902Z [2022-11-23 01:24:56,826] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5w/c5wi4tuqeatx3j7kbxadwtbuhlo2lzltoeuwbdvckebd6t4bhufl.py
2022-11-23T01:32:30.0196165Z [2022-11-23 01:24:56,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133
2022-11-23T01:32:30.0196171Z 
2022-11-23T01:32:30.0196273Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0196348Z import torch
2022-11-23T01:32:30.0196421Z import random
2022-11-23T01:32:30.0196542Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0196665Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0196670Z 
2022-11-23T01:32:30.0196752Z aten = torch.ops.aten
2022-11-23T01:32:30.0196892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0196989Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0196994Z 
2022-11-23T01:32:30.0197068Z import triton
2022-11-23T01:32:30.0197164Z import triton.language as tl
2022-11-23T01:32:30.0197291Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0197427Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0197439Z 
2022-11-23T01:32:30.0197444Z 
2022-11-23T01:32:30.0197573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0197784Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0197909Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0198016Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0198084Z {
2022-11-23T01:32:30.0198164Z     #pragma GCC ivdep
2022-11-23T01:32:30.0198250Z     for(long i0=0; i0<7; i0+=1)
2022-11-23T01:32:30.0198309Z     {
2022-11-23T01:32:30.0198376Z         {
2022-11-23T01:32:30.0198444Z             {
2022-11-23T01:32:30.0198538Z                 auto tmp4 = in_ptr0[i0];
2022-11-23T01:32:30.0198651Z                 auto tmp0 = static_cast<float>(0.125);
2022-11-23T01:32:30.0198761Z                 auto tmp1 = static_cast<float>(i0);
2022-11-23T01:32:30.0198854Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.0198939Z                 auto tmp3 = tmp2 + tmp0;
2022-11-23T01:32:30.0199031Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.0199120Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:32:30.0199191Z             }
2022-11-23T01:32:30.0199260Z         }
2022-11-23T01:32:30.0199324Z     }
2022-11-23T01:32:30.0199382Z }
2022-11-23T01:32:30.0199468Z ''')
2022-11-23T01:32:30.0199476Z 
2022-11-23T01:32:30.0199481Z 
2022-11-23T01:32:30.0199576Z async_compile.wait(globals())
2022-11-23T01:32:30.0199652Z del async_compile
2022-11-23T01:32:30.0199658Z 
2022-11-23T01:32:30.0199733Z def call(args):
2022-11-23T01:32:30.0199808Z     arg0_1, = args
2022-11-23T01:32:30.0199884Z     args.clear()
2022-11-23T01:32:30.0200083Z     buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0200216Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0200289Z     del arg0_1
2022-11-23T01:32:30.0200363Z     return (buf0, )
2022-11-23T01:32:30.0200368Z 
2022-11-23T01:32:30.0200373Z 
2022-11-23T01:32:30.0200454Z if __name__ == "__main__":
2022-11-23T01:32:30.0200574Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0200736Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0200935Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0201052Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0201079Z 
2022-11-23T01:32:30.0201144Z ok (1.556s)
2022-11-23T01:32:30.0201475Z   test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:24:56,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:30.0201838Z [2022-11-23 01:24:58,383] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cf/ccfjz6azzsak7j7inoeiilc25vyfscpyh5raxpeotwedbbbxd7sv.py
2022-11-23T01:32:30.0202103Z [2022-11-23 01:24:58,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:30.0202108Z 
2022-11-23T01:32:30.0202209Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0202284Z import torch
2022-11-23T01:32:30.0202359Z import random
2022-11-23T01:32:30.0202484Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0202601Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0202606Z 
2022-11-23T01:32:30.0202692Z aten = torch.ops.aten
2022-11-23T01:32:30.0202829Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0202925Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0202930Z 
2022-11-23T01:32:30.0203004Z import triton
2022-11-23T01:32:30.0203099Z import triton.language as tl
2022-11-23T01:32:30.0203226Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0203366Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0203371Z 
2022-11-23T01:32:30.0203376Z 
2022-11-23T01:32:30.0203505Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0203712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0203841Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0203952Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0204055Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0204126Z {
2022-11-23T01:32:30.0204230Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0204289Z     {
2022-11-23T01:32:30.0204371Z         #pragma omp for 
2022-11-23T01:32:30.0204457Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:30.0204526Z         {
2022-11-23T01:32:30.0204672Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0204813Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.0204902Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0204999Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0205061Z         }
2022-11-23T01:32:30.0205162Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0205248Z         for(long i0=24; i0<25; i0+=1)
2022-11-23T01:32:30.0205319Z         {
2022-11-23T01:32:30.0205408Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0205496Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0205577Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0205666Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0205734Z         }
2022-11-23T01:32:30.0205799Z     }
2022-11-23T01:32:30.0205867Z }
2022-11-23T01:32:30.0205953Z ''')
2022-11-23T01:32:30.0205958Z 
2022-11-23T01:32:30.0205963Z 
2022-11-23T01:32:30.0206056Z async_compile.wait(globals())
2022-11-23T01:32:30.0206126Z del async_compile
2022-11-23T01:32:30.0206141Z 
2022-11-23T01:32:30.0206208Z def call(args):
2022-11-23T01:32:30.0206281Z     x_1, y_1 = args
2022-11-23T01:32:30.0206356Z     args.clear()
2022-11-23T01:32:30.0206553Z     buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0206715Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0206783Z     del x_1
2022-11-23T01:32:30.0206881Z     del y_1
2022-11-23T01:32:30.0207068Z     buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0207162Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T01:32:30.0207261Z     return (buf1, )
2022-11-23T01:32:30.0207266Z 
2022-11-23T01:32:30.0207271Z 
2022-11-23T01:32:30.0207354Z if __name__ == "__main__":
2022-11-23T01:32:30.0207477Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0207606Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0207797Z     x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0207979Z     y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0208098Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:30.0208103Z 
2022-11-23T01:32:30.0208174Z ok (1.557s)
2022-11-23T01:32:30.0208475Z   test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0208790Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0209015Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0209269Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0209545Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0209859Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0210199Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0210512Z [2022-11-23 01:24:58,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0210881Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691> 
2022-11-23T01:32:30.0210989Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0211089Z                2 LOAD_METHOD              1 (log2)
2022-11-23T01:32:30.0211188Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0211284Z                6 CALL_METHOD              1
2022-11-23T01:32:30.0211384Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0211482Z               10 LOAD_METHOD              1 (log2)
2022-11-23T01:32:30.0211568Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0211665Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:30.0211747Z               16 BINARY_ADD
2022-11-23T01:32:30.0211861Z               18 CALL_METHOD              1
2022-11-23T01:32:30.0211964Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0212076Z               22 BINARY_SUBTRACT
2022-11-23T01:32:30.0212172Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.0212246Z               26 RETURN_VALUE
2022-11-23T01:32:30.0212312Z  
2022-11-23T01:32:30.0212317Z 
2022-11-23T01:32:30.0212630Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692
2022-11-23T01:32:30.0212856Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0213212Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0213556Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0213902Z [2022-11-23 01:24:58,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0214175Z [2022-11-23 01:24:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0214564Z [2022-11-23 01:24:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0214905Z [2022-11-23 01:24:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0215272Z [2022-11-23 01:24:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0215673Z [2022-11-23 01:24:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0216046Z [2022-11-23 01:24:58,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0216311Z [2022-11-23 01:24:58,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0216623Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0216890Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0217136Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0217511Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691>
2022-11-23T01:32:30.0217756Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0217996Z [2022-11-23 01:24:58,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0218249Z [2022-11-23 01:24:58,394] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0218496Z [2022-11-23 01:24:58,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0218683Z [2022-11-23 01:24:58,397] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0219011Z  __compiled_fn_141 <eval_with_key>.878 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0219109Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0219341Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.0219518Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.0219739Z call_function, log2_1, <built-in method log2 of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.0219917Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T01:32:30.0220027Z output, output, output, ((log2, sub),), {}
2022-11-23T01:32:30.0220033Z 
2022-11-23T01:32:30.0220349Z [2022-11-23 01:24:58,397] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0220452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0220591Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0220686Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0220787Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0220906Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0221001Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0221076Z              12 RETURN_VALUE
2022-11-23T01:32:30.0221088Z 
2022-11-23T01:32:30.0221147Z  
2022-11-23T01:32:30.0221470Z [2022-11-23 01:24:58,397] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0221587Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_141)
2022-11-23T01:32:30.0221681Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0221776Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0221862Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0221960Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0222065Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0222174Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0222278Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0222360Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0222467Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0222560Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0222640Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0222727Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0222808Z              26 RETURN_VALUE
2022-11-23T01:32:30.0222814Z 
2022-11-23T01:32:30.0222879Z  
2022-11-23T01:32:30.0223068Z [2022-11-23 01:24:58,398] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0223143Z  - 
2022-11-23T01:32:30.0223269Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0223339Z             {
2022-11-23T01:32:30.0223481Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0223673Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0223799Z                 'obj_weakref': None
2022-11-23T01:32:30.0224036Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0224106Z             }
2022-11-23T01:32:30.0224174Z             
2022-11-23T01:32:30.0224249Z  - 
2022-11-23T01:32:30.0224372Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0224441Z             {
2022-11-23T01:32:30.0224589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0224702Z                 'code': None,
2022-11-23T01:32:30.0224913Z                 'obj_weakref': <weakref at 0x7f202305b150; to 'Tensor' at 0x7f2023059030>
2022-11-23T01:32:30.0225160Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0225229Z             }
2022-11-23T01:32:30.0225301Z             
2022-11-23T01:32:30.0225370Z  - 
2022-11-23T01:32:30.0225505Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0225574Z             {
2022-11-23T01:32:30.0225714Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0225892Z                 'code': ['___check_obj_id(model, 139776005475488)'],
2022-11-23T01:32:30.0226018Z                 'obj_weakref': None
2022-11-23T01:32:30.0226245Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0226307Z             }
2022-11-23T01:32:30.0226376Z             
2022-11-23T01:32:30.0226452Z  - 
2022-11-23T01:32:30.0226579Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0226650Z             {
2022-11-23T01:32:30.0226788Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0226996Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0227153Z                 'obj_weakref': None
2022-11-23T01:32:30.0227379Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0227449Z             }
2022-11-23T01:32:30.0227540Z             
2022-11-23T01:32:30.0227613Z  - 
2022-11-23T01:32:30.0227751Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0227813Z             {
2022-11-23T01:32:30.0227940Z                 'guard_types': None,
2022-11-23T01:32:30.0228051Z                 'code': None,
2022-11-23T01:32:30.0228174Z                 'obj_weakref': None
2022-11-23T01:32:30.0228302Z                 'guarded_class': None
2022-11-23T01:32:30.0228371Z             }
2022-11-23T01:32:30.0228437Z             
2022-11-23T01:32:30.0228690Z [2022-11-23 01:24:58,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134
2022-11-23T01:32:30.0229053Z [2022-11-23 01:24:59,947] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rk/crketd2vfqitljfjg2kyhr7svdgxvqzf5t5xw75ezdsgb2b5xrmf.py
2022-11-23T01:32:30.0229318Z [2022-11-23 01:24:59,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134
2022-11-23T01:32:30.0229323Z 
2022-11-23T01:32:30.0229426Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0229500Z import torch
2022-11-23T01:32:30.0229575Z import random
2022-11-23T01:32:30.0229695Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0229822Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0229827Z 
2022-11-23T01:32:30.0229903Z aten = torch.ops.aten
2022-11-23T01:32:30.0230044Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0230142Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0230147Z 
2022-11-23T01:32:30.0230222Z import triton
2022-11-23T01:32:30.0230420Z import triton.language as tl
2022-11-23T01:32:30.0230564Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0230724Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0230730Z 
2022-11-23T01:32:30.0230735Z 
2022-11-23T01:32:30.0230876Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0231079Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0231206Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0231313Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0231415Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.0231481Z {
2022-11-23T01:32:30.0231584Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0231653Z     {
2022-11-23T01:32:30.0231729Z         #pragma omp for 
2022-11-23T01:32:30.0231818Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0231888Z         {
2022-11-23T01:32:30.0232032Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0232123Z             auto tmp1 = tmp0.log();
2022-11-23T01:32:30.0232274Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1.4426950408889634));
2022-11-23T01:32:30.0232366Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:30.0232503Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.0232588Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.0232677Z             auto tmp6 = tmp5.log();
2022-11-23T01:32:30.0232765Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:32:30.0232905Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.0233033Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:32:30.0233131Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0233230Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.0233291Z         }
2022-11-23T01:32:30.0233392Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0233483Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.0233551Z         {
2022-11-23T01:32:30.0233684Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0233783Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:32:30.0233904Z             auto tmp2 = static_cast<float>(1.4426950408889634);
2022-11-23T01:32:30.0233986Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:30.0234127Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:30.0234214Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.0234311Z             auto tmp6 = std::log(tmp5);
2022-11-23T01:32:30.0234397Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:32:30.0234501Z             auto tmp8 = static_cast<float>(2);
2022-11-23T01:32:30.0234625Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:32:30.0234704Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.0234788Z             out_ptr1[i0] = tmp9;
2022-11-23T01:32:30.0234861Z         }
2022-11-23T01:32:30.0234929Z     }
2022-11-23T01:32:30.0234996Z }
2022-11-23T01:32:30.0235080Z ''')
2022-11-23T01:32:30.0235085Z 
2022-11-23T01:32:30.0235090Z 
2022-11-23T01:32:30.0235186Z async_compile.wait(globals())
2022-11-23T01:32:30.0235256Z del async_compile
2022-11-23T01:32:30.0235268Z 
2022-11-23T01:32:30.0235337Z def call(args):
2022-11-23T01:32:30.0235411Z     arg0_1, = args
2022-11-23T01:32:30.0235490Z     args.clear()
2022-11-23T01:32:30.0235688Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0235879Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0236047Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0236121Z     del arg0_1
2022-11-23T01:32:30.0236196Z     return (buf0, buf1, )
2022-11-23T01:32:30.0236201Z 
2022-11-23T01:32:30.0236206Z 
2022-11-23T01:32:30.0236289Z if __name__ == "__main__":
2022-11-23T01:32:30.0236409Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0236540Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0236737Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0236851Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0236856Z 
2022-11-23T01:32:30.0236928Z ok (1.564s)
2022-11-23T01:32:30.0237232Z   test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:24:59,951] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0237541Z [2022-11-23 01:24:59,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0237760Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0238011Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0238284Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0238603Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0238942Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0239262Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0239628Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709> 
2022-11-23T01:32:30.0239732Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0239831Z                2 LOAD_METHOD              1 (log)
2022-11-23T01:32:30.0239922Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0240017Z                6 CALL_METHOD              1
2022-11-23T01:32:30.0240153Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0240253Z               10 LOAD_METHOD              2 (log2)
2022-11-23T01:32:30.0240350Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0240468Z               14 CALL_METHOD              1
2022-11-23T01:32:30.0240562Z               16 BUILD_TUPLE              2
2022-11-23T01:32:30.0240637Z               18 RETURN_VALUE
2022-11-23T01:32:30.0240702Z  
2022-11-23T01:32:30.0240707Z 
2022-11-23T01:32:30.0241020Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710
2022-11-23T01:32:30.0241241Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0241626Z [2022-11-23 01:24:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0241964Z [2022-11-23 01:24:59,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0242306Z [2022-11-23 01:24:59,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0242557Z [2022-11-23 01:24:59,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0242939Z [2022-11-23 01:24:59,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0243276Z [2022-11-23 01:24:59,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0243646Z [2022-11-23 01:24:59,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0243905Z [2022-11-23 01:24:59,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0244153Z [2022-11-23 01:24:59,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0244522Z [2022-11-23 01:24:59,955] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709>
2022-11-23T01:32:30.0244771Z [2022-11-23 01:24:59,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0245006Z [2022-11-23 01:24:59,955] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0245265Z [2022-11-23 01:24:59,956] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0245515Z [2022-11-23 01:24:59,958] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0245715Z [2022-11-23 01:24:59,959] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0245855Z  __compiled_fn_142 <eval_with_key>.884 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0245942Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0246164Z call_function, log, <built-in method log of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.0246389Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.0246497Z output, output, output, ((log, log2),), {}
2022-11-23T01:32:30.0246503Z 
2022-11-23T01:32:30.0246825Z [2022-11-23 01:24:59,959] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0246958Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0247057Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0247152Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0247268Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0247358Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0247453Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0247534Z              12 RETURN_VALUE
2022-11-23T01:32:30.0247540Z 
2022-11-23T01:32:30.0247605Z  
2022-11-23T01:32:30.0247927Z [2022-11-23 01:24:59,959] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0248044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_142)
2022-11-23T01:32:30.0248142Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0248231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0248315Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0248411Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0248523Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0248632Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0248732Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0248812Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0248911Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0249006Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0249086Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0249181Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0249261Z              26 RETURN_VALUE
2022-11-23T01:32:30.0249266Z 
2022-11-23T01:32:30.0249332Z  
2022-11-23T01:32:30.0249520Z [2022-11-23 01:24:59,960] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0249589Z  - 
2022-11-23T01:32:30.0249712Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0249784Z             {
2022-11-23T01:32:30.0249930Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0250122Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0250250Z                 'obj_weakref': None
2022-11-23T01:32:30.0250473Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0250543Z             }
2022-11-23T01:32:30.0250605Z             
2022-11-23T01:32:30.0250682Z  - 
2022-11-23T01:32:30.0250812Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0250881Z             {
2022-11-23T01:32:30.0251028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0251139Z                 'code': None,
2022-11-23T01:32:30.0251340Z                 'obj_weakref': <weakref at 0x7f2023067b50; to 'Tensor' at 0x7f20726e50d0>
2022-11-23T01:32:30.0251592Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0251662Z             }
2022-11-23T01:32:30.0251730Z             
2022-11-23T01:32:30.0251806Z  - 
2022-11-23T01:32:30.0251940Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0252011Z             {
2022-11-23T01:32:30.0252143Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0252316Z                 'code': ['___check_obj_id(model, 139777160726416)'],
2022-11-23T01:32:30.0252439Z                 'obj_weakref': None
2022-11-23T01:32:30.0252669Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0252739Z             }
2022-11-23T01:32:30.0252807Z             
2022-11-23T01:32:30.0252882Z  - 
2022-11-23T01:32:30.0253000Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0253069Z             {
2022-11-23T01:32:30.0253210Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0253458Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0253584Z                 'obj_weakref': None
2022-11-23T01:32:30.0253807Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0253903Z             }
2022-11-23T01:32:30.0253964Z             
2022-11-23T01:32:30.0254040Z  - 
2022-11-23T01:32:30.0254178Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0254247Z             {
2022-11-23T01:32:30.0254372Z                 'guard_types': None,
2022-11-23T01:32:30.0254487Z                 'code': None,
2022-11-23T01:32:30.0254608Z                 'obj_weakref': None
2022-11-23T01:32:30.0254725Z                 'guarded_class': None
2022-11-23T01:32:30.0254798Z             }
2022-11-23T01:32:30.0254868Z             
2022-11-23T01:32:30.0255130Z [2022-11-23 01:24:59,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135
2022-11-23T01:32:30.0255498Z [2022-11-23 01:25:01,501] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bs/cbss5pkz2ifrvaxokbnvdmt7p4tprpdgff7h45ppavhvnqibnig3.py
2022-11-23T01:32:30.0255760Z [2022-11-23 01:25:01,501] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135
2022-11-23T01:32:30.0255770Z 
2022-11-23T01:32:30.0255869Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0255943Z import torch
2022-11-23T01:32:30.0256011Z import random
2022-11-23T01:32:30.0256132Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0256257Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0256263Z 
2022-11-23T01:32:30.0256347Z aten = torch.ops.aten
2022-11-23T01:32:30.0256489Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0256588Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0256593Z 
2022-11-23T01:32:30.0256668Z import triton
2022-11-23T01:32:30.0256753Z import triton.language as tl
2022-11-23T01:32:30.0256881Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0257025Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0257031Z 
2022-11-23T01:32:30.0257036Z 
2022-11-23T01:32:30.0257173Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0257383Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0257511Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:30.0257620Z                        double* __restrict__ out_ptr0,
2022-11-23T01:32:30.0257725Z                        double* __restrict__ out_ptr1)
2022-11-23T01:32:30.0257785Z {
2022-11-23T01:32:30.0257889Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0257956Z     {
2022-11-23T01:32:30.0258040Z         #pragma omp for 
2022-11-23T01:32:30.0258129Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:30.0258198Z         {
2022-11-23T01:32:30.0258267Z             {
2022-11-23T01:32:30.0258330Z                 {
2022-11-23T01:32:30.0258430Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0258537Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:30.0258662Z                     auto tmp2 = static_cast<double>(1.4426950408889634);
2022-11-23T01:32:30.0258764Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:30.0259039Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0259130Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.0259193Z                 }
2022-11-23T01:32:30.0259263Z             }
2022-11-23T01:32:30.0259331Z         }
2022-11-23T01:32:30.0259399Z     }
2022-11-23T01:32:30.0259464Z }
2022-11-23T01:32:30.0259555Z ''')
2022-11-23T01:32:30.0259560Z 
2022-11-23T01:32:30.0259565Z 
2022-11-23T01:32:30.0259658Z async_compile.wait(globals())
2022-11-23T01:32:30.0259729Z del async_compile
2022-11-23T01:32:30.0259734Z 
2022-11-23T01:32:30.0259809Z def call(args):
2022-11-23T01:32:30.0259884Z     arg0_1, = args
2022-11-23T01:32:30.0259961Z     args.clear()
2022-11-23T01:32:30.0260209Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.0260412Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.0260583Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0260685Z     del arg0_1
2022-11-23T01:32:30.0260761Z     return (buf0, buf1, )
2022-11-23T01:32:30.0260766Z 
2022-11-23T01:32:30.0260771Z 
2022-11-23T01:32:30.0260856Z if __name__ == "__main__":
2022-11-23T01:32:30.0260975Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0261106Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0261308Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.0261421Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0261426Z 
2022-11-23T01:32:30.0261499Z ok (1.554s)
2022-11-23T01:32:30.0261809Z   test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0262116Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0262339Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0262591Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0262870Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0263186Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0263527Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0263844Z [2022-11-23 01:25:01,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0264223Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236> 
2022-11-23T01:32:30.0264325Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:30.0264434Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:30.0264525Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0264621Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0264701Z                8 BINARY_ADD
2022-11-23T01:32:30.0264843Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.0264938Z               12 CALL_METHOD              2
2022-11-23T01:32:30.0265039Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:30.0265149Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:30.0265238Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0265335Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:30.0265430Z               22 CALL_METHOD              2
2022-11-23T01:32:30.0265524Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:30.0265630Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:30.0265724Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0265818Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0265904Z               32 CALL_METHOD              2
2022-11-23T01:32:30.0266001Z               34 BUILD_TUPLE              3
2022-11-23T01:32:30.0266085Z               36 RETURN_VALUE
2022-11-23T01:32:30.0266149Z  
2022-11-23T01:32:30.0266154Z 
2022-11-23T01:32:30.0266498Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237
2022-11-23T01:32:30.0266718Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:30.0267146Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0267442Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:30.0267757Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:30.0268097Z [2022-11-23 01:25:01,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0268417Z [2022-11-23 01:25:01,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:30.0268774Z [2022-11-23 01:25:01,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0269016Z [2022-11-23 01:25:01,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:30.0269443Z [2022-11-23 01:25:01,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0269757Z [2022-11-23 01:25:01,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:30.0270104Z [2022-11-23 01:25:01,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:30.0270572Z [2022-11-23 01:25:01,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0270847Z [2022-11-23 01:25:01,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0271301Z [2022-11-23 01:25:01,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0271642Z [2022-11-23 01:25:01,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:30.0272011Z [2022-11-23 01:25:01,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:30.0272427Z [2022-11-23 01:25:01,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0272721Z [2022-11-23 01:25:01,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0272959Z [2022-11-23 01:25:01,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0273330Z [2022-11-23 01:25:01,518] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236>
2022-11-23T01:32:30.0273608Z [2022-11-23 01:25:01,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0273846Z [2022-11-23 01:25:01,518] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0274123Z [2022-11-23 01:25:01,519] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0274373Z [2022-11-23 01:25:01,527] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0274565Z [2022-11-23 01:25:01,528] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0274707Z  __compiled_fn_143 <eval_with_key>.890 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0274802Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0274887Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0275070Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.0275288Z call_function, log_softmax, <function log_softmax at 0x7f2073d57400>, (add, -1), {}
2022-11-23T01:32:30.0275437Z call_function, log_softmax_1, <function log_softmax at 0x7f2073d57400>, (ex_0_, 0), {}
2022-11-23T01:32:30.0275586Z call_function, log_softmax_2, <function log_softmax at 0x7f2073d57400>, (ex_1_, 1), {}
2022-11-23T01:32:30.0275735Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T01:32:30.0275741Z 
2022-11-23T01:32:30.0276066Z [2022-11-23 01:25:01,528] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0276167Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0276258Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0276356Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0276455Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0276547Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0276643Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0276725Z              12 RETURN_VALUE
2022-11-23T01:32:30.0276730Z 
2022-11-23T01:32:30.0276796Z  
2022-11-23T01:32:30.0277118Z [2022-11-23 01:25:01,528] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0277230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_143)
2022-11-23T01:32:30.0277327Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0277424Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0277507Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0277602Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0277696Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0277778Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0277865Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.0277976Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0278089Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0278184Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0278266Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0278378Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0278471Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0278545Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.0278653Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0278747Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0278827Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.0278921Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.0279003Z              38 RETURN_VALUE
2022-11-23T01:32:30.0279008Z 
2022-11-23T01:32:30.0279074Z  
2022-11-23T01:32:30.0279260Z [2022-11-23 01:25:01,529] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0279329Z  - 
2022-11-23T01:32:30.0279496Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0279567Z             {
2022-11-23T01:32:30.0279712Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0279903Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.0280103Z                 'obj_weakref': None
2022-11-23T01:32:30.0280327Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0280390Z             }
2022-11-23T01:32:30.0280456Z             
2022-11-23T01:32:30.0280533Z  - 
2022-11-23T01:32:30.0280666Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0280734Z             {
2022-11-23T01:32:30.0280881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0280984Z                 'code': None,
2022-11-23T01:32:30.0281196Z                 'obj_weakref': <weakref at 0x7f20230d53a0; to 'Tensor' at 0x7f20680bc630>
2022-11-23T01:32:30.0281450Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0281519Z             }
2022-11-23T01:32:30.0281587Z             
2022-11-23T01:32:30.0281662Z  - 
2022-11-23T01:32:30.0281793Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0281854Z             {
2022-11-23T01:32:30.0282000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0282111Z                 'code': None,
2022-11-23T01:32:30.0282314Z                 'obj_weakref': <weakref at 0x7f20230d7420; to 'Tensor' at 0x7f2151eecf90>
2022-11-23T01:32:30.0282555Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0282625Z             }
2022-11-23T01:32:30.0282693Z             
2022-11-23T01:32:30.0282767Z  - 
2022-11-23T01:32:30.0282894Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0282963Z             {
2022-11-23T01:32:30.0283102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0283279Z                 'code': ['___check_obj_id(model, 139777160726416)'],
2022-11-23T01:32:30.0283403Z                 'obj_weakref': None
2022-11-23T01:32:30.0283633Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0283704Z             }
2022-11-23T01:32:30.0283765Z             
2022-11-23T01:32:30.0283839Z  - 
2022-11-23T01:32:30.0283964Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0284033Z             {
2022-11-23T01:32:30.0284172Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0284393Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0284516Z                 'obj_weakref': None
2022-11-23T01:32:30.0284733Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0284800Z             }
2022-11-23T01:32:30.0284867Z             
2022-11-23T01:32:30.0284941Z  - 
2022-11-23T01:32:30.0285070Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:30.0285139Z             {
2022-11-23T01:32:30.0285255Z                 'guard_types': None,
2022-11-23T01:32:30.0285365Z                 'code': None,
2022-11-23T01:32:30.0291838Z                 'obj_weakref': None
2022-11-23T01:32:30.0291998Z                 'guarded_class': None
2022-11-23T01:32:30.0292071Z             }
2022-11-23T01:32:30.0292142Z             
2022-11-23T01:32:30.0292411Z [2022-11-23 01:25:01,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136
2022-11-23T01:32:30.0292417Z 
2022-11-23T01:32:30.0292519Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0292588Z import torch
2022-11-23T01:32:30.0292663Z import random
2022-11-23T01:32:30.0292786Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0292914Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0292919Z 
2022-11-23T01:32:30.0293002Z aten = torch.ops.aten
2022-11-23T01:32:30.0293198Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0293301Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0293307Z 
2022-11-23T01:32:30.0293375Z import triton
2022-11-23T01:32:30.0293497Z import triton.language as tl
2022-11-23T01:32:30.0293627Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0293772Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0293778Z 
2022-11-23T01:32:30.0293782Z 
2022-11-23T01:32:30.0293927Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0294138Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0294267Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0294381Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0294480Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0294584Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.0294691Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.0294796Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.0294899Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.0295007Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:30.0295108Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:30.0295201Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:30.0295302Z                        float* __restrict__ out_ptr8)
2022-11-23T01:32:30.0295369Z {
2022-11-23T01:32:30.0295475Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0295544Z     {
2022-11-23T01:32:30.0295630Z         #pragma omp for 
2022-11-23T01:32:30.0295720Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0295783Z         {
2022-11-23T01:32:30.0295854Z             {
2022-11-23T01:32:30.0296231Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.0296467Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0296600Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.0296697Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0296768Z                 {
2022-11-23T01:32:30.0296922Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0297073Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0297166Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0297292Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:32:30.0297366Z                 }
2022-11-23T01:32:30.0297594Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:32:30.0297725Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3)
2022-11-23T01:32:30.0297822Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0297895Z                 {
2022-11-23T01:32:30.0298002Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.0298100Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.0298203Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0298311Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:30.0298382Z                 }
2022-11-23T01:32:30.0298472Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.0298542Z             }
2022-11-23T01:32:30.0298609Z         }
2022-11-23T01:32:30.0298686Z         #pragma omp for 
2022-11-23T01:32:30.0298984Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0299058Z         {
2022-11-23T01:32:30.0299127Z             {
2022-11-23T01:32:30.0299377Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0299466Z                 float tmp6 = 0;
2022-11-23T01:32:30.0299594Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.0299984Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.0300197Z                 float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0300324Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.0300419Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0300490Z                 {
2022-11-23T01:32:30.0300639Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0300789Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0300926Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.0301026Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0301164Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.0301264Z                     auto tmp5 = tmp4.exp();
2022-11-23T01:32:30.0301353Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.0301477Z                     tmp7_vec = at::vec::maximum(tmp7_vec, tmp1);
2022-11-23T01:32:30.0301548Z                 }
2022-11-23T01:32:30.0301752Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.0301965Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T01:32:30.0302117Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(max:tmp7)
2022-11-23T01:32:30.0302215Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0302279Z                 {
2022-11-23T01:32:30.0302386Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.0302494Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.0302594Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:30.0302691Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0302834Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.0302939Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T01:32:30.0303017Z                     tmp6 += tmp5;
2022-11-23T01:32:30.0303122Z                     tmp7 = std::max(tmp7, tmp1);
2022-11-23T01:32:30.0303193Z                 }
2022-11-23T01:32:30.0303285Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.0303374Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:32:30.0303443Z             }
2022-11-23T01:32:30.0303511Z         }
2022-11-23T01:32:30.0303589Z         #pragma omp for 
2022-11-23T01:32:30.0303678Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0303747Z         {
2022-11-23T01:32:30.0303817Z             {
2022-11-23T01:32:30.0303887Z                 {
2022-11-23T01:32:30.0304106Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0304205Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.0304270Z                     {
2022-11-23T01:32:30.0304345Z                         {
2022-11-23T01:32:30.0304457Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.0304573Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:30.0304648Z                         }
2022-11-23T01:32:30.0304720Z                     }
2022-11-23T01:32:30.0304810Z                     out_ptr3[i0] = tmp1;
2022-11-23T01:32:30.0304874Z                 }
2022-11-23T01:32:30.0304943Z             }
2022-11-23T01:32:30.0305011Z         }
2022-11-23T01:32:30.0305131Z         #pragma omp for 
2022-11-23T01:32:30.0305221Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0305292Z         {
2022-11-23T01:32:30.0305354Z             {
2022-11-23T01:32:30.0305426Z                 {
2022-11-23T01:32:30.0305539Z                     float tmp4 = 0;
2022-11-23T01:32:30.0305638Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.0305711Z                     {
2022-11-23T01:32:30.0305784Z                         {
2022-11-23T01:32:30.0305898Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.0305996Z                             auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:30.0306147Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0306259Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.0306349Z                             tmp4 += tmp3;
2022-11-23T01:32:30.0306424Z                         }
2022-11-23T01:32:30.0306496Z                     }
2022-11-23T01:32:30.0306588Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:32:30.0306651Z                 }
2022-11-23T01:32:30.0306720Z             }
2022-11-23T01:32:30.0306791Z         }
2022-11-23T01:32:30.0306874Z         #pragma omp for 
2022-11-23T01:32:30.0306965Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0307034Z         {
2022-11-23T01:32:30.0307104Z             {
2022-11-23T01:32:30.0307293Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0307379Z                 float tmp4 = 0;
2022-11-23T01:32:30.0307511Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.0307608Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0307679Z                 {
2022-11-23T01:32:30.0307829Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0307965Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:30.0308107Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0308198Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:32:30.0308287Z                     tmp4_vec += tmp3;
2022-11-23T01:32:30.0308362Z                 }
2022-11-23T01:32:30.0308561Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:30.0308689Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:32:30.0308783Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0308853Z                 {
2022-11-23T01:32:30.0308952Z                     auto tmp0 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.0309052Z                     auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:30.0309192Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0309296Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.0309382Z                     tmp4 += tmp3;
2022-11-23T01:32:30.0309455Z                 }
2022-11-23T01:32:30.0309545Z                 out_ptr5[i0] = tmp4;
2022-11-23T01:32:30.0309607Z             }
2022-11-23T01:32:30.0309675Z         }
2022-11-23T01:32:30.0309759Z         #pragma omp for 
2022-11-23T01:32:30.0309849Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0309917Z         {
2022-11-23T01:32:30.0310008Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0310075Z             {
2022-11-23T01:32:30.0310215Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0310433Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0310586Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.0310721Z                 auto tmp5 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T01:32:30.0310865Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i1);
2022-11-23T01:32:30.0311047Z                 auto tmp10 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i1);
2022-11-23T01:32:30.0311184Z                 auto tmp13 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:30.0311313Z                 auto tmp15 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T01:32:30.0311429Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0311560Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.0311654Z                 auto tmp6 = tmp5.log();
2022-11-23T01:32:30.0311786Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T01:32:30.0311917Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:30.0312013Z                 auto tmp11 = tmp10.log();
2022-11-23T01:32:30.0312150Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T01:32:30.0312288Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T01:32:30.0312375Z                 auto tmp16 = tmp15.log();
2022-11-23T01:32:30.0312515Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T01:32:30.0312632Z                 tmp7.store(out_ptr6 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0312745Z                 tmp12.store(out_ptr7 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0312856Z                 tmp17.store(out_ptr8 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0312930Z             }
2022-11-23T01:32:30.0313028Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.0313111Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0313179Z             {
2022-11-23T01:32:30.0313285Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.0313391Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.0313485Z                 auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:30.0313580Z                 auto tmp5 = out_ptr1[i0];
2022-11-23T01:32:30.0313678Z                 auto tmp8 = out_ptr3[i1];
2022-11-23T01:32:30.0313766Z                 auto tmp10 = out_ptr4[i1];
2022-11-23T01:32:30.0313865Z                 auto tmp13 = out_ptr2[i0];
2022-11-23T01:32:30.0313960Z                 auto tmp15 = out_ptr5[i0];
2022-11-23T01:32:30.0314059Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.0314195Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.0314297Z                 auto tmp6 = std::log(tmp5);
2022-11-23T01:32:30.0314432Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T01:32:30.0314556Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:30.0314660Z                 auto tmp11 = std::log(tmp10);
2022-11-23T01:32:30.0314796Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T01:32:30.0314933Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T01:32:30.0315037Z                 auto tmp16 = std::log(tmp15);
2022-11-23T01:32:30.0315176Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T01:32:30.0315273Z                 out_ptr6[i1 + (8*i0)] = tmp7;
2022-11-23T01:32:30.0315373Z                 out_ptr7[i1 + (8*i0)] = tmp12;
2022-11-23T01:32:30.0315462Z                 out_ptr8[i1 + (8*i0)] = tmp17;
2022-11-23T01:32:30.0315532Z             }
2022-11-23T01:32:30.0315600Z         }
2022-11-23T01:32:30.0315671Z     }
2022-11-23T01:32:30.0315735Z }
2022-11-23T01:32:30.0315822Z ''')
2022-11-23T01:32:30.0315828Z 
2022-11-23T01:32:30.0315832Z 
2022-11-23T01:32:30.0315929Z async_compile.wait(globals())
2022-11-23T01:32:30.0316003Z del async_compile
2022-11-23T01:32:30.0316008Z 
2022-11-23T01:32:30.0316084Z def call(args):
2022-11-23T01:32:30.0316163Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0316239Z     args.clear()
2022-11-23T01:32:30.0316441Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0316638Z     buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0316836Z     buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0317024Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0317217Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0317440Z     buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0317633Z     buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0317822Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0318036Z     buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0318386Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:30.0318462Z     del arg0_1
2022-11-23T01:32:30.0318540Z     del arg1_1
2022-11-23T01:32:30.0318622Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:30.0318627Z 
2022-11-23T01:32:30.0318632Z 
2022-11-23T01:32:30.0318715Z if __name__ == "__main__":
2022-11-23T01:32:30.0318839Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0318972Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0319173Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0319377Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0319500Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0319869Z [2022-11-23 01:25:03,223] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/az/caz4ik7wnlphl4zx6dmebcga6cipmoy57afx5zz4odocvrchs7dx.py
2022-11-23T01:32:30.0320134Z [2022-11-23 01:25:03,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136
2022-11-23T01:32:30.0320147Z 
2022-11-23T01:32:30.0320213Z ok (1.722s)
2022-11-23T01:32:30.0320524Z   test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:25:03,227] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0320844Z [2022-11-23 01:25:03,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0321068Z [2022-11-23 01:25:03,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0321331Z [2022-11-23 01:25:03,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0321611Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0321933Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0322282Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0322609Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0322979Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700> 
2022-11-23T01:32:30.0323086Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0323193Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:30.0323293Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0323437Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.0323532Z                8 CALL_METHOD              2
2022-11-23T01:32:30.0323634Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0323740Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:30.0323830Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0323955Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:30.0324054Z               18 CALL_METHOD              2
2022-11-23T01:32:30.0324148Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0324235Z               22 BINARY_SUBTRACT
2022-11-23T01:32:30.0324355Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.0324436Z               26 RETURN_VALUE
2022-11-23T01:32:30.0324495Z  
2022-11-23T01:32:30.0324500Z 
2022-11-23T01:32:30.0324814Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701
2022-11-23T01:32:30.0325039Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0325416Z [2022-11-23 01:25:03,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0325743Z [2022-11-23 01:25:03,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0326093Z [2022-11-23 01:25:03,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0326484Z [2022-11-23 01:25:03,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0326732Z [2022-11-23 01:25:03,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0327124Z [2022-11-23 01:25:03,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0327476Z [2022-11-23 01:25:03,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0327851Z [2022-11-23 01:25:03,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0328270Z [2022-11-23 01:25:03,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0328528Z [2022-11-23 01:25:03,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0328840Z [2022-11-23 01:25:03,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0329110Z [2022-11-23 01:25:03,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0329359Z [2022-11-23 01:25:03,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0329734Z [2022-11-23 01:25:03,238] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700>
2022-11-23T01:32:30.0329980Z [2022-11-23 01:25:03,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0330217Z [2022-11-23 01:25:03,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0330475Z [2022-11-23 01:25:03,239] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0330726Z [2022-11-23 01:25:03,247] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0330969Z [2022-11-23 01:25:03,247] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0331100Z  __compiled_fn_144 <eval_with_key>.896 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0331201Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0331472Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:30.0331723Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:30.0331909Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T01:32:30.0332028Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T01:32:30.0332034Z 
2022-11-23T01:32:30.0332355Z [2022-11-23 01:25:03,247] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0332457Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0332548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0332647Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0332751Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0332844Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0332943Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0333027Z              12 RETURN_VALUE
2022-11-23T01:32:30.0333032Z 
2022-11-23T01:32:30.0333098Z  
2022-11-23T01:32:30.0333422Z [2022-11-23 01:25:03,248] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0333532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_144)
2022-11-23T01:32:30.0333632Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0333731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0333815Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0333909Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0334025Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0334136Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0334227Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0334313Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0334421Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0334517Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0334600Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0334698Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0334781Z              26 RETURN_VALUE
2022-11-23T01:32:30.0334786Z 
2022-11-23T01:32:30.0334845Z  
2022-11-23T01:32:30.0335032Z [2022-11-23 01:25:03,248] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0335110Z  - 
2022-11-23T01:32:30.0335235Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0335305Z             {
2022-11-23T01:32:30.0335451Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0335645Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0335763Z                 'obj_weakref': None
2022-11-23T01:32:30.0335988Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0336060Z             }
2022-11-23T01:32:30.0336130Z             
2022-11-23T01:32:30.0336207Z  - 
2022-11-23T01:32:30.0336339Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0336409Z             {
2022-11-23T01:32:30.0336549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0336663Z                 'code': None,
2022-11-23T01:32:30.0336870Z                 'obj_weakref': <weakref at 0x7f2023143150; to 'Tensor' at 0x7f20726e50d0>
2022-11-23T01:32:30.0337122Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0337192Z             }
2022-11-23T01:32:30.0337261Z             
2022-11-23T01:32:30.0337343Z  - 
2022-11-23T01:32:30.0337504Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0337576Z             {
2022-11-23T01:32:30.0337716Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0337914Z                 'code': ['___check_obj_id(model, 139777160726416)'],
2022-11-23T01:32:30.0338037Z                 'obj_weakref': None
2022-11-23T01:32:30.0338268Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0338339Z             }
2022-11-23T01:32:30.0338401Z             
2022-11-23T01:32:30.0338478Z  - 
2022-11-23T01:32:30.0338604Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0338675Z             {
2022-11-23T01:32:30.0339013Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0339238Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0339364Z                 'obj_weakref': None
2022-11-23T01:32:30.0339581Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0339652Z             }
2022-11-23T01:32:30.0339721Z             
2022-11-23T01:32:30.0339798Z  - 
2022-11-23T01:32:30.0339940Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0340011Z             {
2022-11-23T01:32:30.0340137Z                 'guard_types': None,
2022-11-23T01:32:30.0340242Z                 'code': None,
2022-11-23T01:32:30.0340370Z                 'obj_weakref': None
2022-11-23T01:32:30.0340501Z                 'guarded_class': None
2022-11-23T01:32:30.0340570Z             }
2022-11-23T01:32:30.0340639Z             
2022-11-23T01:32:30.0340900Z [2022-11-23 01:25:03,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137
2022-11-23T01:32:30.0341262Z [2022-11-23 01:25:04,893] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wj/cwjjkng7nacgheogysfoow2xnv3fr6voojbb52fpsot7t6aaouij.py
2022-11-23T01:32:30.0341530Z [2022-11-23 01:25:04,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137
2022-11-23T01:32:30.0341537Z 
2022-11-23T01:32:30.0341630Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0341709Z import torch
2022-11-23T01:32:30.0341786Z import random
2022-11-23T01:32:30.0341911Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0342041Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0342046Z 
2022-11-23T01:32:30.0342131Z aten = torch.ops.aten
2022-11-23T01:32:30.0342271Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0342363Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0342376Z 
2022-11-23T01:32:30.0342444Z import triton
2022-11-23T01:32:30.0342538Z import triton.language as tl
2022-11-23T01:32:30.0342665Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0342814Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0342819Z 
2022-11-23T01:32:30.0342830Z 
2022-11-23T01:32:30.0342968Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0343178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0343306Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0343408Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.0343525Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0343635Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.0343739Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.0343808Z {
2022-11-23T01:32:30.0343903Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.0343994Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:30.0344090Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0344159Z     {
2022-11-23T01:32:30.0344242Z         #pragma omp for 
2022-11-23T01:32:30.0344331Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0344450Z         {
2022-11-23T01:32:30.0344523Z             {
2022-11-23T01:32:30.0344892Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.0345136Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0345260Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.0345357Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0345429Z                 {
2022-11-23T01:32:30.0345580Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0345706Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T01:32:30.0345780Z                 }
2022-11-23T01:32:30.0346000Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T01:32:30.0346131Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T01:32:30.0346227Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0346295Z                 {
2022-11-23T01:32:30.0346403Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.0346510Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:30.0346580Z                 }
2022-11-23T01:32:30.0346669Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.0346743Z             }
2022-11-23T01:32:30.0346805Z         }
2022-11-23T01:32:30.0346890Z         #pragma omp for 
2022-11-23T01:32:30.0346980Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0347049Z         {
2022-11-23T01:32:30.0347118Z             {
2022-11-23T01:32:30.0347315Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.0347403Z                 float tmp4 = 0;
2022-11-23T01:32:30.0347533Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.0347621Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.0347694Z                 {
2022-11-23T01:32:30.0347851Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.0347989Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.0348132Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0348234Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:32:30.0348325Z                     tmp4_vec += tmp3;
2022-11-23T01:32:30.0348389Z                 }
2022-11-23T01:32:30.0348595Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:30.0348724Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:32:30.0348822Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.0348892Z                 {
2022-11-23T01:32:30.0348999Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.0349099Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:30.0349242Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0349342Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.0349427Z                     tmp4 += tmp3;
2022-11-23T01:32:30.0349498Z                 }
2022-11-23T01:32:30.0349587Z                 out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.0349658Z             }
2022-11-23T01:32:30.0349728Z         }
2022-11-23T01:32:30.0349816Z         #pragma omp for 
2022-11-23T01:32:30.0349898Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0349967Z         {
2022-11-23T01:32:30.0350042Z             {
2022-11-23T01:32:30.0350116Z                 {
2022-11-23T01:32:30.0350438Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0350585Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.0350677Z                     {
2022-11-23T01:32:30.0350757Z                         {
2022-11-23T01:32:30.0350885Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.0351043Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:30.0351323Z                         }
2022-11-23T01:32:30.0351396Z                     }
2022-11-23T01:32:30.0351489Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:32:30.0351558Z                 }
2022-11-23T01:32:30.0351618Z             }
2022-11-23T01:32:30.0351690Z         }
2022-11-23T01:32:30.0351771Z         #pragma omp for 
2022-11-23T01:32:30.0351859Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0351927Z         {
2022-11-23T01:32:30.0351994Z             {
2022-11-23T01:32:30.0352056Z                 {
2022-11-23T01:32:30.0352145Z                     float tmp4 = 0;
2022-11-23T01:32:30.0352241Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.0352317Z                     {
2022-11-23T01:32:30.0352389Z                         {
2022-11-23T01:32:30.0352500Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.0352606Z                             auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:30.0352749Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0352858Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.0352947Z                             tmp4 += tmp3;
2022-11-23T01:32:30.0353021Z                         }
2022-11-23T01:32:30.0353093Z                     }
2022-11-23T01:32:30.0353183Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:30.0353252Z                 }
2022-11-23T01:32:30.0353313Z             }
2022-11-23T01:32:30.0353380Z         }
2022-11-23T01:32:30.0353462Z         #pragma omp for 
2022-11-23T01:32:30.0353551Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0353620Z         {
2022-11-23T01:32:30.0353689Z             {
2022-11-23T01:32:30.0353761Z                 {
2022-11-23T01:32:30.0353852Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.0353947Z                     auto tmp2 = out_ptr0[i0];
2022-11-23T01:32:30.0354053Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:30.0354154Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:30.0354287Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0354383Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:32:30.0354496Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:30.0354592Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:32:30.0354689Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:30.0354782Z                     in_out_ptr0[i0] = tmp8;
2022-11-23T01:32:30.0354851Z                 }
2022-11-23T01:32:30.0354920Z             }
2022-11-23T01:32:30.0354987Z         }
2022-11-23T01:32:30.0355069Z         #pragma omp for 
2022-11-23T01:32:30.0355150Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0355218Z         {
2022-11-23T01:32:30.0355285Z             {
2022-11-23T01:32:30.0355355Z                 {
2022-11-23T01:32:30.0355453Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:30.0355558Z                     auto tmp2 = out_ptr2[i0];
2022-11-23T01:32:30.0355660Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:30.0355754Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:30.0355889Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0355985Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:32:30.0356095Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:30.0356199Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:32:30.0356295Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:30.0356404Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:30.0356573Z                     auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:30.0356671Z                     in_out_ptr1[i0] = tmp10;
2022-11-23T01:32:30.0356740Z                 }
2022-11-23T01:32:30.0356810Z             }
2022-11-23T01:32:30.0356902Z         }
2022-11-23T01:32:30.0356967Z     }
2022-11-23T01:32:30.0357034Z }
2022-11-23T01:32:30.0357112Z ''')
2022-11-23T01:32:30.0357118Z 
2022-11-23T01:32:30.0357122Z 
2022-11-23T01:32:30.0357219Z async_compile.wait(globals())
2022-11-23T01:32:30.0357295Z del async_compile
2022-11-23T01:32:30.0357300Z 
2022-11-23T01:32:30.0357375Z def call(args):
2022-11-23T01:32:30.0357448Z     arg0_1, = args
2022-11-23T01:32:30.0357524Z     args.clear()
2022-11-23T01:32:30.0357723Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0357912Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0358098Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0358289Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0358408Z     buf4 = as_strided(buf0, (8, ), (1, )); del buf0  # reuse
2022-11-23T01:32:30.0358524Z     buf5 = as_strided(buf2, (8, ), (1, )); del buf2  # reuse
2022-11-23T01:32:30.0358747Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.0358821Z     del arg0_1
2022-11-23T01:32:30.0358904Z     return (buf4, buf5, )
2022-11-23T01:32:30.0358910Z 
2022-11-23T01:32:30.0358914Z 
2022-11-23T01:32:30.0358995Z if __name__ == "__main__":
2022-11-23T01:32:30.0359108Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0359237Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0359433Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0359546Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0359551Z 
2022-11-23T01:32:30.0359630Z ok (1.671s)
2022-11-23T01:32:30.0359936Z   test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0360251Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0360470Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0360717Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0360993Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0361308Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0361651Z [2022-11-23 01:25:04,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0361968Z [2022-11-23 01:25:04,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0362346Z [2022-11-23 01:25:04,899] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107> 
2022-11-23T01:32:30.0362450Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0362559Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T01:32:30.0362655Z                4 LOAD_CONST               1 (294)
2022-11-23T01:32:30.0362750Z                6 BUILD_LIST               1
2022-11-23T01:32:30.0362837Z                8 CALL_METHOD              1
2022-11-23T01:32:30.0362967Z               10 LOAD_METHOD              2 (to)
2022-11-23T01:32:30.0363067Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0363168Z               14 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.0363260Z               16 CALL_METHOD              1
2022-11-23T01:32:30.0363383Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0363470Z               20 BINARY_SUBTRACT
2022-11-23T01:32:30.0363475Z 
2022-11-23T01:32:30.0363568Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0363672Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T01:32:30.0363769Z               26 LOAD_CONST               2 (295)
2022-11-23T01:32:30.0363862Z               28 BUILD_LIST               1
2022-11-23T01:32:30.0363956Z               30 CALL_METHOD              1
2022-11-23T01:32:30.0364052Z               32 LOAD_METHOD              2 (to)
2022-11-23T01:32:30.0364147Z               34 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0364242Z               36 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.0364337Z               38 CALL_METHOD              1
2022-11-23T01:32:30.0364432Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0364514Z               42 BINARY_ADD
2022-11-23T01:32:30.0364523Z 
2022-11-23T01:32:30.0364616Z 3108          44 BUILD_TUPLE              2
2022-11-23T01:32:30.0364698Z               46 RETURN_VALUE
2022-11-23T01:32:30.0364764Z  
2022-11-23T01:32:30.0364769Z 
2022-11-23T01:32:30.0365082Z [2022-11-23 01:25:04,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109
2022-11-23T01:32:30.0365297Z [2022-11-23 01:25:04,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0365664Z [2022-11-23 01:25:04,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0365947Z [2022-11-23 01:25:04,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T01:32:30.0366259Z [2022-11-23 01:25:04,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T01:32:30.0366574Z [2022-11-23 01:25:04,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T01:32:30.0366817Z [2022-11-23 01:25:04,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:30.0367090Z [2022-11-23 01:25:04,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.0367398Z [2022-11-23 01:25:04,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:30.0367711Z [2022-11-23 01:25:04,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:30.0367956Z [2022-11-23 01:25:04,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.0368233Z [2022-11-23 01:25:04,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0368547Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110
2022-11-23T01:32:30.0368796Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0369198Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0369585Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0369974Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.0370371Z [2022-11-23 01:25:04,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.0370638Z [2022-11-23 01:25:04,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0370932Z [2022-11-23 01:25:04,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.0371267Z [2022-11-23 01:25:04,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:30.0371599Z [2022-11-23 01:25:04,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:30.0371870Z [2022-11-23 01:25:04,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0372164Z [2022-11-23 01:25:04,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0372478Z [2022-11-23 01:25:04,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108
2022-11-23T01:32:30.0372747Z [2022-11-23 01:25:04,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0372998Z [2022-11-23 01:25:04,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0373374Z [2022-11-23 01:25:04,905] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107>
2022-11-23T01:32:30.0373626Z [2022-11-23 01:25:04,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0373859Z [2022-11-23 01:25:04,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0374118Z [2022-11-23 01:25:04,907] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0374371Z [2022-11-23 01:25:04,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0374565Z [2022-11-23 01:25:04,910] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0374697Z  __compiled_fn_145 <eval_with_key>.902 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0374794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0374990Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T01:32:30.0375169Z call_method, to, to, (long_tensor, device(type='cpu')), {}
2022-11-23T01:32:30.0375351Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T01:32:30.0375596Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([295],), {}
2022-11-23T01:32:30.0375770Z call_method, to_1, to, (as_tensor, device(type='cpu')), {}
2022-11-23T01:32:30.0375952Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T01:32:30.0376051Z output, output, output, ((sub, add),), {}
2022-11-23T01:32:30.0376056Z 
2022-11-23T01:32:30.0376386Z [2022-11-23 01:25:04,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0376487Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0376627Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0376721Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0376822Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0376936Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0377032Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0377107Z              12 RETURN_VALUE
2022-11-23T01:32:30.0377112Z 
2022-11-23T01:32:30.0377178Z  
2022-11-23T01:32:30.0377510Z [2022-11-23 01:25:04,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0377625Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_145)
2022-11-23T01:32:30.0377721Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0377817Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0377901Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0377989Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0378104Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0378212Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0378311Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0378393Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0378499Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0378593Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0378667Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0378761Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0379027Z              26 RETURN_VALUE
2022-11-23T01:32:30.0379033Z 
2022-11-23T01:32:30.0379100Z  
2022-11-23T01:32:30.0379295Z [2022-11-23 01:25:04,912] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0379372Z  - 
2022-11-23T01:32:30.0379499Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0379568Z             {
2022-11-23T01:32:30.0379710Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0379904Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0380029Z                 'obj_weakref': None
2022-11-23T01:32:30.0380261Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0380329Z             }
2022-11-23T01:32:30.0380397Z             
2022-11-23T01:32:30.0380473Z  - 
2022-11-23T01:32:30.0380593Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.0380660Z             {
2022-11-23T01:32:30.0380803Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.0380979Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.0381192Z                 'obj_weakref': <weakref at 0x7f2022eae660; to 'Tensor' at 0x7f2151eed030>
2022-11-23T01:32:30.0381445Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0381517Z             }
2022-11-23T01:32:30.0381578Z             
2022-11-23T01:32:30.0381654Z  - 
2022-11-23T01:32:30.0381784Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0381870Z             {
2022-11-23T01:32:30.0382042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0382163Z                 'code': None,
2022-11-23T01:32:30.0382374Z                 'obj_weakref': <weakref at 0x7f2022eae660; to 'Tensor' at 0x7f2151eed030>
2022-11-23T01:32:30.0382615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0382685Z             }
2022-11-23T01:32:30.0382753Z             
2022-11-23T01:32:30.0382830Z  - 
2022-11-23T01:32:30.0382966Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0383033Z             {
2022-11-23T01:32:30.0383172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0383339Z                 'code': ['___check_obj_id(model, 139776006803744)'],
2022-11-23T01:32:30.0383512Z                 'obj_weakref': None
2022-11-23T01:32:30.0383747Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0383848Z             }
2022-11-23T01:32:30.0383916Z             
2022-11-23T01:32:30.0383991Z  - 
2022-11-23T01:32:30.0384117Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0384178Z             {
2022-11-23T01:32:30.0384318Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0384540Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0384668Z                 'obj_weakref': None
2022-11-23T01:32:30.0384898Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0384968Z             }
2022-11-23T01:32:30.0385035Z             
2022-11-23T01:32:30.0385103Z  - 
2022-11-23T01:32:30.0385242Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0385315Z             {
2022-11-23T01:32:30.0385441Z                 'guard_types': None,
2022-11-23T01:32:30.0385553Z                 'code': None,
2022-11-23T01:32:30.0385677Z                 'obj_weakref': None
2022-11-23T01:32:30.0385808Z                 'guarded_class': None
2022-11-23T01:32:30.0385869Z             }
2022-11-23T01:32:30.0385937Z             
2022-11-23T01:32:30.0386202Z [2022-11-23 01:25:04,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138
2022-11-23T01:32:30.0386569Z [2022-11-23 01:25:06,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pa/cpawovjyh5yjehulqsmtd2mjez5nzojy3kny2hy3u23bledmtjts.py
2022-11-23T01:32:30.0386834Z [2022-11-23 01:25:06,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138
2022-11-23T01:32:30.0386840Z 
2022-11-23T01:32:30.0386938Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0387012Z import torch
2022-11-23T01:32:30.0387079Z import random
2022-11-23T01:32:30.0387206Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0387332Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0387337Z 
2022-11-23T01:32:30.0387421Z aten = torch.ops.aten
2022-11-23T01:32:30.0387565Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0387664Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0387669Z 
2022-11-23T01:32:30.0387742Z import triton
2022-11-23T01:32:30.0387834Z import triton.language as tl
2022-11-23T01:32:30.0387954Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0388097Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0388102Z 
2022-11-23T01:32:30.0388107Z 
2022-11-23T01:32:30.0388244Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0388452Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0388577Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0388685Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:30.0388786Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0388852Z {
2022-11-23T01:32:30.0388952Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0389018Z     {
2022-11-23T01:32:30.0389100Z         #pragma omp for 
2022-11-23T01:32:30.0389187Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.0389257Z         {
2022-11-23T01:32:30.0389326Z             {
2022-11-23T01:32:30.0389388Z                 {
2022-11-23T01:32:30.0389488Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:30.0389602Z                     auto tmp0 = static_cast<long>(294);
2022-11-23T01:32:30.0389745Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.0389856Z                     auto tmp3 = static_cast<long>(295);
2022-11-23T01:32:30.0389953Z                     auto tmp4 = tmp3 + tmp1;
2022-11-23T01:32:30.0390043Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0390213Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.0390342Z                 }
2022-11-23T01:32:30.0390425Z             }
2022-11-23T01:32:30.0390506Z         }
2022-11-23T01:32:30.0390619Z     }
2022-11-23T01:32:30.0390687Z }
2022-11-23T01:32:30.0390774Z ''')
2022-11-23T01:32:30.0390779Z 
2022-11-23T01:32:30.0390784Z 
2022-11-23T01:32:30.0390879Z async_compile.wait(globals())
2022-11-23T01:32:30.0390950Z del async_compile
2022-11-23T01:32:30.0390955Z 
2022-11-23T01:32:30.0391030Z def call(args):
2022-11-23T01:32:30.0391106Z     arg0_1, = args
2022-11-23T01:32:30.0391183Z     args.clear()
2022-11-23T01:32:30.0391381Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0391576Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0391746Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0391812Z     del arg0_1
2022-11-23T01:32:30.0391898Z     return (buf0, buf1, )
2022-11-23T01:32:30.0391903Z 
2022-11-23T01:32:30.0391907Z 
2022-11-23T01:32:30.0391988Z if __name__ == "__main__":
2022-11-23T01:32:30.0392111Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0392244Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0392440Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0392552Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0392557Z 
2022-11-23T01:32:30.0392631Z ok (1.552s)
2022-11-23T01:32:30.0393150Z   test_lowmem_dropout1_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.0393232Z   warnings.warn(
2022-11-23T01:32:30.0393473Z [2022-11-23 01:25:06,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0393790Z [2022-11-23 01:25:06,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:32:30.0394007Z [2022-11-23 01:25:06,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:30.0394406Z [2022-11-23 01:25:06,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0394692Z [2022-11-23 01:25:06,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:30.0395011Z [2022-11-23 01:25:06,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:30.0395378Z [2022-11-23 01:25:06,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0395695Z [2022-11-23 01:25:06,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:30.0396048Z [2022-11-23 01:25:06,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.0396429Z [2022-11-23 01:25:06,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:30.0396675Z [2022-11-23 01:25:06,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0396910Z [2022-11-23 01:25:06,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0397181Z [2022-11-23 01:25:06,455] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.0397419Z [2022-11-23 01:25:06,458] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.0397637Z [2022-11-23 01:25:06,458] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0397774Z  __compiled_fn_146 <eval_with_key>.908 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0397862Z placeholder, x, x, (), {}
2022-11-23T01:32:30.0397963Z placeholder, weight, weight, (), {}
2022-11-23T01:32:30.0398135Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:30.0398304Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (mul, 0.33, False), {}
2022-11-23T01:32:30.0398422Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:30.0398428Z 
2022-11-23T01:32:30.0398753Z [2022-11-23 01:25:06,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:30.0398853Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:30.0398958Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:30.0399058Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0399162Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:30.0399242Z                8 BINARY_MULTIPLY
2022-11-23T01:32:30.0399340Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:30.0399436Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:30.0399530Z               14 CALL_METHOD              3
2022-11-23T01:32:30.0399612Z               16 RETURN_VALUE
2022-11-23T01:32:30.0399617Z 
2022-11-23T01:32:30.0399683Z  
2022-11-23T01:32:30.0399998Z [2022-11-23 01:25:06,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:30.0400115Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_146)
2022-11-23T01:32:30.0400205Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0400308Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:30.0400408Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.0400505Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0400587Z               10 RETURN_VALUE
2022-11-23T01:32:30.0400592Z 
2022-11-23T01:32:30.0400658Z  
2022-11-23T01:32:30.0400844Z [2022-11-23 01:25:06,459] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0400913Z  - 
2022-11-23T01:32:30.0401037Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.0401107Z             {
2022-11-23T01:32:30.0401252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0401363Z                 'code': None,
2022-11-23T01:32:30.0401575Z                 'obj_weakref': <weakref at 0x7f2022eeb1f0; to 'Tensor' at 0x7f207274f8d0>
2022-11-23T01:32:30.0401827Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0401906Z             }
2022-11-23T01:32:30.0401982Z             
2022-11-23T01:32:30.0402072Z  - 
2022-11-23T01:32:30.0402219Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:30.0402286Z             {
2022-11-23T01:32:30.0402429Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0402600Z                 'code': ['___check_obj_id(train, 94768292517568)'],
2022-11-23T01:32:30.0402715Z                 'obj_weakref': None
2022-11-23T01:32:30.0402934Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:30.0403003Z             }
2022-11-23T01:32:30.0403071Z             
2022-11-23T01:32:30.0403146Z  - 
2022-11-23T01:32:30.0403276Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:30.0403344Z             {
2022-11-23T01:32:30.0403484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0403634Z                 'code': None,
2022-11-23T01:32:30.0403846Z                 'obj_weakref': <weakref at 0x7f2022eeb420; to 'Tensor' at 0x7f2068123c40>
2022-11-23T01:32:30.0404098Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0404194Z             }
2022-11-23T01:32:30.0404263Z             
2022-11-23T01:32:30.0404338Z  - 
2022-11-23T01:32:30.0404460Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:30.0404530Z             {
2022-11-23T01:32:30.0404655Z                 'guard_types': None,
2022-11-23T01:32:30.0404766Z                 'code': None,
2022-11-23T01:32:30.0404889Z                 'obj_weakref': None
2022-11-23T01:32:30.0405015Z                 'guarded_class': None
2022-11-23T01:32:30.0405082Z             }
2022-11-23T01:32:30.0405143Z             
2022-11-23T01:32:30.0405406Z [2022-11-23 01:25:06,469] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139
2022-11-23T01:32:30.0405778Z [2022-11-23 01:25:07,992] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2r/c2rjpgdyleeqhwz2namclucn327hhle4hfycwg6bh67myoxz3zua.py
2022-11-23T01:32:30.0406043Z [2022-11-23 01:25:07,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139
2022-11-23T01:32:30.0406307Z [2022-11-23 01:25:07,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 139
2022-11-23T01:32:30.0406669Z [2022-11-23 01:25:08,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7u/c7uuvjjdkxvjqckhwcfrccfubpu2a737paadazmutvoj5fvub37s.py
2022-11-23T01:32:30.0406940Z [2022-11-23 01:25:08,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 139
2022-11-23T01:32:30.0407183Z [2022-11-23 01:25:08,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0407502Z [2022-11-23 01:25:08,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:32:30.0407713Z [2022-11-23 01:25:08,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:30.0408123Z [2022-11-23 01:25:08,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.0408416Z [2022-11-23 01:25:08,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:30.0408740Z [2022-11-23 01:25:08,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:30.0409102Z [2022-11-23 01:25:08,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0409422Z [2022-11-23 01:25:08,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:30.0409779Z [2022-11-23 01:25:08,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.0410176Z [2022-11-23 01:25:08,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:30.0410426Z [2022-11-23 01:25:08,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0410663Z [2022-11-23 01:25:08,008] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0410938Z [2022-11-23 01:25:08,009] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.0411176Z [2022-11-23 01:25:08,012] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.0411371Z [2022-11-23 01:25:08,013] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0411535Z  __compiled_fn_147 <eval_with_key>.919 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0411623Z placeholder, x, x, (), {}
2022-11-23T01:32:30.0411727Z placeholder, weight, weight, (), {}
2022-11-23T01:32:30.0411934Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:30.0412126Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (mul, 0.33, True), {}
2022-11-23T01:32:30.0412245Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:30.0412250Z 
2022-11-23T01:32:30.0412570Z [2022-11-23 01:25:08,013] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:30.0412672Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:30.0412777Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:30.0412876Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0412982Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:30.0413069Z                8 BINARY_MULTIPLY
2022-11-23T01:32:30.0413167Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:30.0413264Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:30.0413351Z               14 CALL_METHOD              3
2022-11-23T01:32:30.0413432Z               16 RETURN_VALUE
2022-11-23T01:32:30.0413437Z 
2022-11-23T01:32:30.0413501Z  
2022-11-23T01:32:30.0413823Z [2022-11-23 01:25:08,013] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:30.0413940Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_147)
2022-11-23T01:32:30.0414038Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0414140Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:30.0414229Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.0414325Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0414410Z               10 RETURN_VALUE
2022-11-23T01:32:30.0414415Z 
2022-11-23T01:32:30.0414481Z  
2022-11-23T01:32:30.0414668Z [2022-11-23 01:25:08,013] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0414744Z  - 
2022-11-23T01:32:30.0414868Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.0414929Z             {
2022-11-23T01:32:30.0415076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0415186Z                 'code': None,
2022-11-23T01:32:30.0415397Z                 'obj_weakref': <weakref at 0x7f2022eeb1f0; to 'Tensor' at 0x7f207274f8d0>
2022-11-23T01:32:30.0415645Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0415716Z             }
2022-11-23T01:32:30.0415784Z             
2022-11-23T01:32:30.0415858Z  - 
2022-11-23T01:32:30.0415988Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:30.0416056Z             {
2022-11-23T01:32:30.0416198Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0416372Z                 'code': ['___check_obj_id(train, 94768292517600)'],
2022-11-23T01:32:30.0416497Z                 'obj_weakref': None
2022-11-23T01:32:30.0416717Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:30.0416786Z             }
2022-11-23T01:32:30.0416846Z             
2022-11-23T01:32:30.0416921Z  - 
2022-11-23T01:32:30.0417054Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:30.0417121Z             {
2022-11-23T01:32:30.0417268Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0417379Z                 'code': None,
2022-11-23T01:32:30.0417615Z                 'obj_weakref': <weakref at 0x7f2022eeb420; to 'Tensor' at 0x7f2068123c40>
2022-11-23T01:32:30.0417869Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0417959Z             }
2022-11-23T01:32:30.0418025Z             
2022-11-23T01:32:30.0418100Z  - 
2022-11-23T01:32:30.0418230Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:30.0418298Z             {
2022-11-23T01:32:30.0418416Z                 'guard_types': None,
2022-11-23T01:32:30.0418529Z                 'code': None,
2022-11-23T01:32:30.0418649Z                 'obj_weakref': None
2022-11-23T01:32:30.0418958Z                 'guarded_class': None
2022-11-23T01:32:30.0419032Z             }
2022-11-23T01:32:30.0419101Z             
2022-11-23T01:32:30.0419367Z [2022-11-23 01:25:08,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140
2022-11-23T01:32:30.0419629Z [2022-11-23 01:25:08,043] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:30.0419992Z [2022-11-23 01:25:09,576] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/et/cetfhsem6bdlzzouybjin3dbxfrdja7gmhzko7uinpuwhnopkql3.py
2022-11-23T01:32:30.0420262Z [2022-11-23 01:25:09,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140
2022-11-23T01:32:30.0420516Z [2022-11-23 01:25:09,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 140
2022-11-23T01:32:30.0420522Z 
2022-11-23T01:32:30.0420622Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0420696Z import torch
2022-11-23T01:32:30.0420770Z import random
2022-11-23T01:32:30.0420890Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0421015Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0421020Z 
2022-11-23T01:32:30.0421096Z aten = torch.ops.aten
2022-11-23T01:32:30.0421232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0421335Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0421341Z 
2022-11-23T01:32:30.0421414Z import triton
2022-11-23T01:32:30.0421509Z import triton.language as tl
2022-11-23T01:32:30.0421636Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0421782Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0421788Z 
2022-11-23T01:32:30.0421792Z 
2022-11-23T01:32:30.0421931Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0422132Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0422257Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0422367Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0422473Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0422539Z {
2022-11-23T01:32:30.0422641Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0422709Z     {
2022-11-23T01:32:30.0422786Z         #pragma omp for 
2022-11-23T01:32:30.0422878Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T01:32:30.0422946Z         {
2022-11-23T01:32:30.0423089Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0423231Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.0423324Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.0423422Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0423483Z         }
2022-11-23T01:32:30.0423583Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0423681Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:32:30.0423750Z         {
2022-11-23T01:32:30.0423841Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0423931Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0424018Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.0424098Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0424163Z         }
2022-11-23T01:32:30.0424228Z     }
2022-11-23T01:32:30.0424355Z }
2022-11-23T01:32:30.0424443Z ''')
2022-11-23T01:32:30.0424450Z 
2022-11-23T01:32:30.0424455Z 
2022-11-23T01:32:30.0424548Z async_compile.wait(globals())
2022-11-23T01:32:30.0424652Z del async_compile
2022-11-23T01:32:30.0424658Z 
2022-11-23T01:32:30.0424725Z def call(args):
2022-11-23T01:32:30.0424818Z     primals_1, primals_2 = args
2022-11-23T01:32:30.0424894Z     args.clear()
2022-11-23T01:32:30.0425100Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0425278Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0425355Z     del primals_2
2022-11-23T01:32:30.0425444Z     return (buf0, primals_1, )
2022-11-23T01:32:30.0425449Z 
2022-11-23T01:32:30.0425454Z 
2022-11-23T01:32:30.0425534Z if __name__ == "__main__":
2022-11-23T01:32:30.0425646Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0425777Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0425991Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0426192Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0426329Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:30.0426335Z 
2022-11-23T01:32:30.0426339Z 
2022-11-23T01:32:30.0426437Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0426511Z import torch
2022-11-23T01:32:30.0426586Z import random
2022-11-23T01:32:30.0426700Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0426824Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0426829Z 
2022-11-23T01:32:30.0426912Z aten = torch.ops.aten
2022-11-23T01:32:30.0427051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0427146Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0427151Z 
2022-11-23T01:32:30.0427226Z import triton
2022-11-23T01:32:30.0427323Z import triton.language as tl
2022-11-23T01:32:30.0427442Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0427587Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0427596Z 
2022-11-23T01:32:30.0427600Z 
2022-11-23T01:32:30.0427736Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0427945Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0428070Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0428183Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0428289Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0428358Z {
2022-11-23T01:32:30.0428452Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0428522Z     {
2022-11-23T01:32:30.0428606Z         #pragma omp for 
2022-11-23T01:32:30.0428696Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T01:32:30.0428764Z         {
2022-11-23T01:32:30.0428910Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0429047Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.0429139Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.0429229Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0429297Z         }
2022-11-23T01:32:30.0429399Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0429495Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:32:30.0429561Z         {
2022-11-23T01:32:30.0429651Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0429732Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0429821Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.0429906Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0429973Z         }
2022-11-23T01:32:30.0430039Z     }
2022-11-23T01:32:30.0430104Z }
2022-11-23T01:32:30.0430190Z ''')
2022-11-23T01:32:30.0430196Z 
2022-11-23T01:32:30.0430200Z 
2022-11-23T01:32:30.0430400Z async_compile.wait(globals())
2022-11-23T01:32:30.0430488Z del async_compile
2022-11-23T01:32:30.0430493Z 
2022-11-23T01:32:30.0430569Z def call(args):
2022-11-23T01:32:30.0430686Z     primals_1, tangents_1 = args
2022-11-23T01:32:30.0430762Z     args.clear()
2022-11-23T01:32:30.0430967Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0431146Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0431223Z     del primals_1
2022-11-23T01:32:30.0431292Z     del tangents_1
2022-11-23T01:32:30.0431376Z     return (None, buf0, )
2022-11-23T01:32:30.0431381Z 
2022-11-23T01:32:30.0431385Z 
2022-11-23T01:32:30.0431464Z if __name__ == "__main__":
2022-11-23T01:32:30.0431586Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0431715Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0431925Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0432134Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0432267Z     print_performance(lambda: call([primals_1, tangents_1]))
2022-11-23T01:32:30.0432275Z 
2022-11-23T01:32:30.0432280Z 
2022-11-23T01:32:30.0432371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0432446Z import torch
2022-11-23T01:32:30.0432521Z import random
2022-11-23T01:32:30.0432642Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0432766Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0432771Z 
2022-11-23T01:32:30.0432855Z aten = torch.ops.aten
2022-11-23T01:32:30.0432991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0433087Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0433092Z 
2022-11-23T01:32:30.0433160Z import triton
2022-11-23T01:32:30.0433251Z import triton.language as tl
2022-11-23T01:32:30.0433380Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0433524Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0433693Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:30.0433702Z 
2022-11-23T01:32:30.0433706Z 
2022-11-23T01:32:30.0433843Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0434055Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0434176Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:30.0434281Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0434390Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.0434495Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0434561Z {
2022-11-23T01:32:30.0434663Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0434730Z     {
2022-11-23T01:32:30.0434814Z         #pragma omp for 
2022-11-23T01:32:30.0434898Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:32:30.0434965Z         {
2022-11-23T01:32:30.0435034Z             {
2022-11-23T01:32:30.0435103Z                 {
2022-11-23T01:32:30.0435199Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:30.0435299Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:30.0435388Z                     auto tmp7 = in_ptr2[i0];
2022-11-23T01:32:30.0435497Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:30.0435643Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:30.0435754Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:32:30.0435850Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:30.0435960Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:30.0436057Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:30.0436183Z                     auto tmp9 = tmp5 * tmp8;
2022-11-23T01:32:30.0436299Z                     auto tmp10 = static_cast<float>(1.492537313432836);
2022-11-23T01:32:30.0436398Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:32:30.0436519Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:30.0436589Z                 }
2022-11-23T01:32:30.0436656Z             }
2022-11-23T01:32:30.0436724Z         }
2022-11-23T01:32:30.0436789Z     }
2022-11-23T01:32:30.0436847Z }
2022-11-23T01:32:30.0436934Z ''')
2022-11-23T01:32:30.0436939Z 
2022-11-23T01:32:30.0436944Z 
2022-11-23T01:32:30.0437037Z async_compile.wait(globals())
2022-11-23T01:32:30.0437115Z del async_compile
2022-11-23T01:32:30.0437120Z 
2022-11-23T01:32:30.0437193Z def call(args):
2022-11-23T01:32:30.0437286Z     primals_1, primals_2 = args
2022-11-23T01:32:30.0437361Z     args.clear()
2022-11-23T01:32:30.0437494Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:30.0437702Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0437917Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0437998Z     del primals_2
2022-11-23T01:32:30.0438117Z     return (buf0, primals_1, seed_cpu_None.clone(), )
2022-11-23T01:32:30.0438122Z 
2022-11-23T01:32:30.0438127Z 
2022-11-23T01:32:30.0438207Z if __name__ == "__main__":
2022-11-23T01:32:30.0438325Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0438452Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0438640Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0438846Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0439047Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0439179Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:30.0439187Z 
2022-11-23T01:32:30.0439548Z [2022-11-23 01:25:11,125] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqh5tuqut4mzgljnc2qfukzixyxso3iz4rd7v6sgovws4znivlpx.py
2022-11-23T01:32:30.0439818Z [2022-11-23 01:25:11,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 140
2022-11-23T01:32:30.0439824Z 
2022-11-23T01:32:30.0439923Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0439997Z import torch
2022-11-23T01:32:30.0440071Z import random
2022-11-23T01:32:30.0440184Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0440307Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0440312Z 
2022-11-23T01:32:30.0440398Z aten = torch.ops.aten
2022-11-23T01:32:30.0440535Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0440631Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0440636Z 
2022-11-23T01:32:30.0440710Z import triton
2022-11-23T01:32:30.0440806Z import triton.language as tl
2022-11-23T01:32:30.0440924Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0441066Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0441075Z 
2022-11-23T01:32:30.0441079Z 
2022-11-23T01:32:30.0441218Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0441431Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0441572Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0441706Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0441815Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.0441919Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0441978Z {
2022-11-23T01:32:30.0442080Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0442147Z     {
2022-11-23T01:32:30.0442228Z         #pragma omp for 
2022-11-23T01:32:30.0442351Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:32:30.0442420Z         {
2022-11-23T01:32:30.0442489Z             {
2022-11-23T01:32:30.0442552Z                 {
2022-11-23T01:32:30.0442652Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:30.0442774Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:30.0442875Z                     auto tmp10 = in_ptr2[i0];
2022-11-23T01:32:30.0442985Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:30.0443131Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:30.0443243Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:32:30.0443332Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:30.0443444Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:30.0443540Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:30.0443659Z                     auto tmp8 = static_cast<float>(1.492537313432836);
2022-11-23T01:32:30.0443758Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:30.0443857Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:32:30.0443950Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:30.0444016Z                 }
2022-11-23T01:32:30.0444085Z             }
2022-11-23T01:32:30.0444153Z         }
2022-11-23T01:32:30.0444222Z     }
2022-11-23T01:32:30.0444287Z }
2022-11-23T01:32:30.0444375Z ''')
2022-11-23T01:32:30.0444380Z 
2022-11-23T01:32:30.0444385Z 
2022-11-23T01:32:30.0444480Z async_compile.wait(globals())
2022-11-23T01:32:30.0444550Z del async_compile
2022-11-23T01:32:30.0444562Z 
2022-11-23T01:32:30.0444630Z def call(args):
2022-11-23T01:32:30.0444746Z     primals_1, philox_seed_like, tangents_1 = args
2022-11-23T01:32:30.0444822Z     args.clear()
2022-11-23T01:32:30.0445023Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0445245Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0445330Z     del philox_seed_like
2022-11-23T01:32:30.0445406Z     del primals_1
2022-11-23T01:32:30.0445474Z     del tangents_1
2022-11-23T01:32:30.0445561Z     return (None, buf0, )
2022-11-23T01:32:30.0445566Z 
2022-11-23T01:32:30.0445571Z 
2022-11-23T01:32:30.0445650Z if __name__ == "__main__":
2022-11-23T01:32:30.0445768Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0445896Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0446107Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0446310Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0446521Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0446666Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2022-11-23T01:32:30.0446671Z 
2022-11-23T01:32:30.0446747Z ok (4.683s)
2022-11-23T01:32:30.0447063Z   test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:11,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0447379Z [2022-11-23 01:25:11,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4212
2022-11-23T01:32:30.0447593Z [2022-11-23 01:25:11,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m []
2022-11-23T01:32:30.0447838Z [2022-11-23 01:25:11,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:30.0448114Z [2022-11-23 01:25:11,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:30.0448369Z [2022-11-23 01:25:11,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0448634Z [2022-11-23 01:25:11,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0448875Z [2022-11-23 01:25:11,143] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.0449133Z [2022-11-23 01:25:11,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.0449326Z [2022-11-23 01:25:11,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0449465Z  __compiled_fn_148 <eval_with_key>.930 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0449552Z placeholder, x, x, (), {}
2022-11-23T01:32:30.0449641Z call_module, m_0, m_0, (x,), {}
2022-11-23T01:32:30.0449731Z call_module, m_1, m_1, (m_0,), {}
2022-11-23T01:32:30.0449819Z call_module, m_2, m_2, (m_1,), {}
2022-11-23T01:32:30.0449899Z call_module, m_3, m_3, (m_2,), {}
2022-11-23T01:32:30.0449998Z output, output, output, ((m_3,),), {}
2022-11-23T01:32:30.0450003Z 
2022-11-23T01:32:30.0450328Z [2022-11-23 01:25:11,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:30.0450428Z 4212           0 LOAD_DEREF               0 (m)
2022-11-23T01:32:30.0450525Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0450625Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.0450706Z                6 RETURN_VALUE
2022-11-23T01:32:30.0450712Z 
2022-11-23T01:32:30.0450777Z  
2022-11-23T01:32:30.0451090Z [2022-11-23 01:25:11,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:30.0451209Z 4210           0 LOAD_GLOBAL              0 (__compiled_fn_148)
2022-11-23T01:32:30.0451305Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0451401Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.0451498Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0451578Z                8 RETURN_VALUE
2022-11-23T01:32:30.0451586Z 
2022-11-23T01:32:30.0451651Z  
2022-11-23T01:32:30.0451829Z [2022-11-23 01:25:11,150] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0451906Z  - 
2022-11-23T01:32:30.0452025Z             local 'm' NN_MODULE
2022-11-23T01:32:30.0452097Z             {
2022-11-23T01:32:30.0452236Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0452400Z                 'code': ['___check_obj_id(m, 139776001447424)'],
2022-11-23T01:32:30.0452620Z                 'obj_weakref': <weakref at 0x7f2022f12d90; to 'Sequential' at 0x7f2022ea1600>
2022-11-23T01:32:30.0452854Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.0452916Z             }
2022-11-23T01:32:30.0452983Z             
2022-11-23T01:32:30.0453059Z  - 
2022-11-23T01:32:30.0453184Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.0453253Z             {
2022-11-23T01:32:30.0453400Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0453506Z                 'code': None,
2022-11-23T01:32:30.0453715Z                 'obj_weakref': <weakref at 0x7f2022f11c10; to 'Tensor' at 0x7f2022ebb2e0>
2022-11-23T01:32:30.0453965Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0454041Z             }
2022-11-23T01:32:30.0454111Z             
2022-11-23T01:32:30.0454185Z  - 
2022-11-23T01:32:30.0454327Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T01:32:30.0454389Z             {
2022-11-23T01:32:30.0454514Z                 'guard_types': None,
2022-11-23T01:32:30.0454628Z                 'code': None,
2022-11-23T01:32:30.0454750Z                 'obj_weakref': None
2022-11-23T01:32:30.0454876Z                 'guarded_class': None
2022-11-23T01:32:30.0454945Z             }
2022-11-23T01:32:30.0455013Z             
2022-11-23T01:32:30.0455081Z  - 
2022-11-23T01:32:30.0455221Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T01:32:30.0455290Z             {
2022-11-23T01:32:30.0455447Z                 'guard_types': None,
2022-11-23T01:32:30.0455558Z                 'code': None,
2022-11-23T01:32:30.0455681Z                 'obj_weakref': None
2022-11-23T01:32:30.0455828Z                 'guarded_class': None
2022-11-23T01:32:30.0455889Z             }
2022-11-23T01:32:30.0455962Z             
2022-11-23T01:32:30.0456036Z  - 
2022-11-23T01:32:30.0456180Z             local_nn_module 'm[2]' NN_MODULE
2022-11-23T01:32:30.0456248Z             {
2022-11-23T01:32:30.0456370Z                 'guard_types': None,
2022-11-23T01:32:30.0456473Z                 'code': None,
2022-11-23T01:32:30.0456595Z                 'obj_weakref': None
2022-11-23T01:32:30.0456718Z                 'guarded_class': None
2022-11-23T01:32:30.0456787Z             }
2022-11-23T01:32:30.0456857Z             
2022-11-23T01:32:30.0456931Z  - 
2022-11-23T01:32:30.0457068Z             local_nn_module 'm[3]' NN_MODULE
2022-11-23T01:32:30.0457129Z             {
2022-11-23T01:32:30.0457256Z                 'guard_types': None,
2022-11-23T01:32:30.0457367Z                 'code': None,
2022-11-23T01:32:30.0457488Z                 'obj_weakref': None
2022-11-23T01:32:30.0457615Z                 'guarded_class': None
2022-11-23T01:32:30.0457686Z             }
2022-11-23T01:32:30.0457754Z             
2022-11-23T01:32:30.0458005Z [2022-11-23 01:25:11,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141
2022-11-23T01:32:30.0458259Z [2022-11-23 01:25:11,200] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:30.0458626Z [2022-11-23 01:25:12,822] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mp/cmpenkwwsaf7ogvlxflbyvvt2cu36pebcrmdjueb3byzwartlkkj.py
2022-11-23T01:32:30.0459015Z [2022-11-23 01:25:12,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141
2022-11-23T01:32:30.0459282Z [2022-11-23 01:25:12,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 141
2022-11-23T01:32:30.0459288Z 
2022-11-23T01:32:30.0459388Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0459461Z import torch
2022-11-23T01:32:30.0459537Z import random
2022-11-23T01:32:30.0459656Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0459782Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0459787Z 
2022-11-23T01:32:30.0459872Z aten = torch.ops.aten
2022-11-23T01:32:30.0460014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0460114Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0460119Z 
2022-11-23T01:32:30.0460192Z import triton
2022-11-23T01:32:30.0460284Z import triton.language as tl
2022-11-23T01:32:30.0460411Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0460546Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0460717Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:30.0460723Z 
2022-11-23T01:32:30.0460727Z 
2022-11-23T01:32:30.0460867Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0461075Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0461200Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0461307Z                        const long* __restrict__ seed0,
2022-11-23T01:32:30.0461419Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:30.0461499Z {
2022-11-23T01:32:30.0461604Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0461685Z     {
2022-11-23T01:32:30.0461767Z         #pragma omp for 
2022-11-23T01:32:30.0461855Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:30.0461922Z         {
2022-11-23T01:32:30.0461991Z             {
2022-11-23T01:32:30.0462062Z                 {
2022-11-23T01:32:30.0462147Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:30.0462298Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:32:30.0462412Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:30.0462509Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:30.0462644Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:32:30.0462794Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:30.0462906Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:32:30.0462994Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:30.0463107Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:32:30.0463204Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:32:30.0463303Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:32:30.0463391Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:30.0463485Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:30.0463554Z                 }
2022-11-23T01:32:30.0463615Z             }
2022-11-23T01:32:30.0463689Z         }
2022-11-23T01:32:30.0463758Z     }
2022-11-23T01:32:30.0463824Z }
2022-11-23T01:32:30.0463912Z ''')
2022-11-23T01:32:30.0463917Z 
2022-11-23T01:32:30.0463922Z 
2022-11-23T01:32:30.0464062Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:30.0464266Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0464382Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0464489Z                        const long* __restrict__ seed0,
2022-11-23T01:32:30.0464592Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:30.0464657Z {
2022-11-23T01:32:30.0464758Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0464825Z     {
2022-11-23T01:32:30.0464908Z         #pragma omp for 
2022-11-23T01:32:30.0464988Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:30.0465057Z         {
2022-11-23T01:32:30.0465127Z             {
2022-11-23T01:32:30.0465195Z                 {
2022-11-23T01:32:30.0465287Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:30.0465390Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:32:30.0465500Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:30.0465592Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:30.0465710Z                     auto tmp3 = static_cast<int>(256 + i0);
2022-11-23T01:32:30.0465854Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:30.0465965Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:32:30.0466061Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:30.0466171Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:32:30.0466268Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:32:30.0466359Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:32:30.0466452Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:30.0466548Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:30.0466618Z                 }
2022-11-23T01:32:30.0466687Z             }
2022-11-23T01:32:30.0466754Z         }
2022-11-23T01:32:30.0466821Z     }
2022-11-23T01:32:30.0466881Z }
2022-11-23T01:32:30.0466967Z ''')
2022-11-23T01:32:30.0466973Z 
2022-11-23T01:32:30.0466977Z 
2022-11-23T01:32:30.0467072Z async_compile.wait(globals())
2022-11-23T01:32:30.0467149Z del async_compile
2022-11-23T01:32:30.0467154Z 
2022-11-23T01:32:30.0467230Z def call(args):
2022-11-23T01:32:30.0467337Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:30.0467413Z     args.clear()
2022-11-23T01:32:30.0467547Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:30.0467749Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0467889Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2022-11-23T01:32:30.0467967Z     del primals_1
2022-11-23T01:32:30.0468201Z     buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0468297Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.0468477Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0468698Z     buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0468822Z     aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3)
2022-11-23T01:32:30.0469013Z     buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0469105Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:30.0469283Z     kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:30.0469432Z     return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), )
2022-11-23T01:32:30.0469438Z 
2022-11-23T01:32:30.0469442Z 
2022-11-23T01:32:30.0469524Z if __name__ == "__main__":
2022-11-23T01:32:30.0469645Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0469772Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0469959Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0470168Z     primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0470441Z     primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0470678Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0470825Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:30.0470831Z 
2022-11-23T01:32:30.0471189Z [2022-11-23 01:25:14,415] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s3/cs3a4ktcsyklg4qp3ygzn257m4qp6fbeb4ees3ch5snryrdcfilj.py
2022-11-23T01:32:30.0471458Z [2022-11-23 01:25:14,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 141
2022-11-23T01:32:30.0471464Z 
2022-11-23T01:32:30.0471565Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0471640Z import torch
2022-11-23T01:32:30.0471707Z import random
2022-11-23T01:32:30.0471831Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0471955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0471961Z 
2022-11-23T01:32:30.0472044Z aten = torch.ops.aten
2022-11-23T01:32:30.0472182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0472278Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0472283Z 
2022-11-23T01:32:30.0472358Z import triton
2022-11-23T01:32:30.0472449Z import triton.language as tl
2022-11-23T01:32:30.0472568Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0472710Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0472715Z 
2022-11-23T01:32:30.0472720Z 
2022-11-23T01:32:30.0472859Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0473067Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0473192Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0473306Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:30.0473411Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0473478Z {
2022-11-23T01:32:30.0473573Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0473641Z     {
2022-11-23T01:32:30.0473723Z         #pragma omp for 
2022-11-23T01:32:30.0473812Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:30.0473880Z         {
2022-11-23T01:32:30.0473949Z             {
2022-11-23T01:32:30.0474011Z                 {
2022-11-23T01:32:30.0474109Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0474205Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0474320Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:30.0474466Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:30.0474564Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:30.0474660Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:30.0474767Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:30.0474838Z                 }
2022-11-23T01:32:30.0474908Z             }
2022-11-23T01:32:30.0474975Z         }
2022-11-23T01:32:30.0475045Z     }
2022-11-23T01:32:30.0475110Z }
2022-11-23T01:32:30.0475196Z ''')
2022-11-23T01:32:30.0475202Z 
2022-11-23T01:32:30.0475207Z 
2022-11-23T01:32:30.0475335Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:30.0475543Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0475664Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.0475773Z                        const bool* __restrict__ in_ptr0)
2022-11-23T01:32:30.0475838Z {
2022-11-23T01:32:30.0475941Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0476008Z     {
2022-11-23T01:32:30.0476082Z         #pragma omp for 
2022-11-23T01:32:30.0476171Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:30.0476239Z         {
2022-11-23T01:32:30.0476311Z             {
2022-11-23T01:32:30.0476381Z                 {
2022-11-23T01:32:30.0476484Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.0476581Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:30.0476686Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:30.0476801Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:30.0476895Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:30.0476990Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:30.0477085Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:30.0477154Z                 }
2022-11-23T01:32:30.0477222Z             }
2022-11-23T01:32:30.0477282Z         }
2022-11-23T01:32:30.0477349Z     }
2022-11-23T01:32:30.0477415Z }
2022-11-23T01:32:30.0477500Z ''')
2022-11-23T01:32:30.0477506Z 
2022-11-23T01:32:30.0477510Z 
2022-11-23T01:32:30.0477604Z async_compile.wait(globals())
2022-11-23T01:32:30.0477681Z del async_compile
2022-11-23T01:32:30.0477690Z 
2022-11-23T01:32:30.0477765Z def call(args):
2022-11-23T01:32:30.0477882Z     primals_3, lt, mul, lt_1, permute_4, tangents_1 = args
2022-11-23T01:32:30.0477959Z     args.clear()
2022-11-23T01:32:30.0478159Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0478333Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0478406Z     del lt_1
2022-11-23T01:32:30.0478481Z     del tangents_1
2022-11-23T01:32:30.0478677Z     buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0478804Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1)
2022-11-23T01:32:30.0478867Z     del mul
2022-11-23T01:32:30.0479066Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0479172Z     aten.mm.out(buf0, permute_4, out=buf2)
2022-11-23T01:32:30.0479243Z     del buf0
2022-11-23T01:32:30.0479321Z     del permute_4
2022-11-23T01:32:30.0479411Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:30.0479549Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr()))
2022-11-23T01:32:30.0479612Z     del lt
2022-11-23T01:32:30.0479812Z     buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0479943Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2022-11-23T01:32:30.0480015Z     del buf3
2022-11-23T01:32:30.0480091Z     del primals_3
2022-11-23T01:32:30.0480230Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2022-11-23T01:32:30.0480235Z 
2022-11-23T01:32:30.0480240Z 
2022-11-23T01:32:30.0480323Z if __name__ == "__main__":
2022-11-23T01:32:30.0480466Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0480594Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0480800Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0481015Z     lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0481208Z     mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0481421Z     lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0481652Z     permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0481855Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0482005Z     print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1]))
2022-11-23T01:32:30.0482020Z 
2022-11-23T01:32:30.0482085Z ok (3.287s)
2022-11-23T01:32:30.0482404Z   test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0482718Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0482942Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0483194Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0483468Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0483784Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0484128Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0484450Z [2022-11-23 01:25:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0484826Z [2022-11-23 01:25:14,423] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456> 
2022-11-23T01:32:30.0484922Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0485031Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:30.0485134Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0485233Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0485385Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T01:32:30.0485479Z               10 CALL_METHOD              3
2022-11-23T01:32:30.0485577Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0485650Z               14 BINARY_ADD
2022-11-23T01:32:30.0485750Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0485859Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:30.0485868Z 
2022-11-23T01:32:30.0485965Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0486062Z               22 LOAD_CONST               3 (2.0)
2022-11-23T01:32:30.0486153Z               24 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.0486253Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.0486360Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:30.0486449Z               30 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0486542Z               32 CALL_METHOD              1
2022-11-23T01:32:30.0486639Z               34 LOAD_CONST               4 (667)
2022-11-23T01:32:30.0486644Z 
2022-11-23T01:32:30.0486737Z 2457          36 CALL_METHOD              3
2022-11-23T01:32:30.0486857Z               38 BUILD_TUPLE              2
2022-11-23T01:32:30.0486940Z               40 RETURN_VALUE
2022-11-23T01:32:30.0487006Z  
2022-11-23T01:32:30.0487011Z 
2022-11-23T01:32:30.0487320Z [2022-11-23 01:25:14,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:30.0487607Z [2022-11-23 01:25:14,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0487917Z [2022-11-23 01:25:14,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0488181Z [2022-11-23 01:25:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:30.0488474Z [2022-11-23 01:25:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:30.0488807Z [2022-11-23 01:25:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0489170Z [2022-11-23 01:25:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.0489415Z [2022-11-23 01:25:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.0489699Z [2022-11-23 01:25:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0489950Z [2022-11-23 01:25:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.0490296Z [2022-11-23 01:25:14,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0490605Z [2022-11-23 01:25:14,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458
2022-11-23T01:32:30.0490899Z [2022-11-23 01:25:14,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T01:32:30.0491221Z [2022-11-23 01:25:14,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:30.0491599Z [2022-11-23 01:25:14,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.0491948Z [2022-11-23 01:25:14,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:30.0492454Z [2022-11-23 01:25:14,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0492890Z [2022-11-23 01:25:14,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0493358Z [2022-11-23 01:25:14,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0493695Z [2022-11-23 01:25:14,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0494028Z [2022-11-23 01:25:14,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:30.0494408Z [2022-11-23 01:25:14,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0494695Z [2022-11-23 01:25:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0494939Z [2022-11-23 01:25:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0495309Z [2022-11-23 01:25:14,439] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456>
2022-11-23T01:32:30.0495553Z [2022-11-23 01:25:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0495791Z [2022-11-23 01:25:14,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0496046Z [2022-11-23 01:25:14,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0496295Z [2022-11-23 01:25:14,445] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0496486Z [2022-11-23 01:25:14,445] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0496623Z  __compiled_fn_149 <eval_with_key>.941 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0496719Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0496810Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0497000Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T01:32:30.0497182Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T01:32:30.0497373Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T01:32:30.0497623Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.0497773Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T01:32:30.0497895Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T01:32:30.0497900Z 
2022-11-23T01:32:30.0498224Z [2022-11-23 01:25:14,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0498324Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0498414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0498508Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0498607Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0498697Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0498910Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0498993Z              12 RETURN_VALUE
2022-11-23T01:32:30.0498999Z 
2022-11-23T01:32:30.0499067Z  
2022-11-23T01:32:30.0499392Z [2022-11-23 01:25:14,445] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0499504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_149)
2022-11-23T01:32:30.0499598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0499693Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0499774Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0499870Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0499963Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0500045Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0500132Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.0500244Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0500354Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0500492Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0500577Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0500683Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0500808Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0500883Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.0500978Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.0501059Z              32 RETURN_VALUE
2022-11-23T01:32:30.0501063Z 
2022-11-23T01:32:30.0501130Z  
2022-11-23T01:32:30.0501322Z [2022-11-23 01:25:14,446] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0501402Z  - 
2022-11-23T01:32:30.0501527Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0501590Z             {
2022-11-23T01:32:30.0501737Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0501932Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.0502058Z                 'obj_weakref': None
2022-11-23T01:32:30.0502290Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0502360Z             }
2022-11-23T01:32:30.0502427Z             
2022-11-23T01:32:30.0502499Z  - 
2022-11-23T01:32:30.0502636Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0502705Z             {
2022-11-23T01:32:30.0502853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0502969Z                 'code': None,
2022-11-23T01:32:30.0503180Z                 'obj_weakref': <weakref at 0x7f2022f32520; to 'Tensor' at 0x7f202305a890>
2022-11-23T01:32:30.0503431Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0503500Z             }
2022-11-23T01:32:30.0503561Z             
2022-11-23T01:32:30.0503637Z  - 
2022-11-23T01:32:30.0503763Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0503829Z             {
2022-11-23T01:32:30.0503976Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0504088Z                 'code': None,
2022-11-23T01:32:30.0504288Z                 'obj_weakref': <weakref at 0x7f2022eeb4c0; to 'Tensor' at 0x7f20230739c0>
2022-11-23T01:32:30.0504536Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0504606Z             }
2022-11-23T01:32:30.0504676Z             
2022-11-23T01:32:30.0504751Z  - 
2022-11-23T01:32:30.0504886Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0504954Z             {
2022-11-23T01:32:30.0505085Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0505261Z                 'code': ['___check_obj_id(model, 139776003459824)'],
2022-11-23T01:32:30.0505385Z                 'obj_weakref': None
2022-11-23T01:32:30.0505616Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0505685Z             }
2022-11-23T01:32:30.0505753Z             
2022-11-23T01:32:30.0505832Z  - 
2022-11-23T01:32:30.0505952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0506020Z             {
2022-11-23T01:32:30.0506163Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0506390Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0506514Z                 'obj_weakref': None
2022-11-23T01:32:30.0506740Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0506814Z             }
2022-11-23T01:32:30.0506885Z             
2022-11-23T01:32:30.0506953Z  - 
2022-11-23T01:32:30.0507088Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0507158Z             {
2022-11-23T01:32:30.0507285Z                 'guard_types': None,
2022-11-23T01:32:30.0507398Z                 'code': None,
2022-11-23T01:32:30.0507521Z                 'obj_weakref': None
2022-11-23T01:32:30.0507641Z                 'guarded_class': None
2022-11-23T01:32:30.0507746Z             }
2022-11-23T01:32:30.0507821Z             
2022-11-23T01:32:30.0507896Z  - 
2022-11-23T01:32:30.0508036Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0508130Z             {
2022-11-23T01:32:30.0508255Z                 'guard_types': None,
2022-11-23T01:32:30.0508360Z                 'code': None,
2022-11-23T01:32:30.0508483Z                 'obj_weakref': None
2022-11-23T01:32:30.0508608Z                 'guarded_class': None
2022-11-23T01:32:30.0508678Z             }
2022-11-23T01:32:30.0508746Z             
2022-11-23T01:32:30.0509008Z [2022-11-23 01:25:14,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142
2022-11-23T01:32:30.0509366Z [2022-11-23 01:25:16,019] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnodhckhsczfk74q3wa4alwd7ox6j5b7glj57wtfhrv7rwihz2u.py
2022-11-23T01:32:30.0509627Z [2022-11-23 01:25:16,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142
2022-11-23T01:32:30.0509643Z 
2022-11-23T01:32:30.0509735Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0509810Z import torch
2022-11-23T01:32:30.0509886Z import random
2022-11-23T01:32:30.0510011Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0510140Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0510145Z 
2022-11-23T01:32:30.0510229Z aten = torch.ops.aten
2022-11-23T01:32:30.0510444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0510548Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0510554Z 
2022-11-23T01:32:30.0510629Z import triton
2022-11-23T01:32:30.0510724Z import triton.language as tl
2022-11-23T01:32:30.0510854Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0510996Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0511002Z 
2022-11-23T01:32:30.0511006Z 
2022-11-23T01:32:30.0511145Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0511357Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0511488Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:30.0511595Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0511699Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0511802Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.0511870Z {
2022-11-23T01:32:30.0511975Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0512044Z     {
2022-11-23T01:32:30.0512127Z         #pragma omp for 
2022-11-23T01:32:30.0512208Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0512277Z         {
2022-11-23T01:32:30.0512362Z             #pragma GCC ivdep
2022-11-23T01:32:30.0512453Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:30.0512523Z             {
2022-11-23T01:32:30.0512594Z                 {
2022-11-23T01:32:30.0512666Z                     {
2022-11-23T01:32:30.0512765Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:30.0512876Z                         auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:30.0513047Z                         auto tmp1 = static_cast<float>(-10000.0);
2022-11-23T01:32:30.0513157Z                         auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:30.0513271Z                         auto tmp4 = static_cast<float>(2);
2022-11-23T01:32:30.0513371Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.0513469Z                         auto tmp6 = tmp0 == 0;
2022-11-23T01:32:30.0513578Z                         auto tmp7 = static_cast<float>(667.0);
2022-11-23T01:32:30.0513693Z                         auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:30.0513794Z                         auto tmp9 = tmp2 / tmp8;
2022-11-23T01:32:30.0513903Z                         auto tmp10 = tmp6 ? tmp7 : tmp9;
2022-11-23T01:32:30.0514008Z                         out_ptr0[i1 + (16*i0)] = tmp5;
2022-11-23T01:32:30.0514155Z                         out_ptr1[i1 + (16*i0)] = tmp10;
2022-11-23T01:32:30.0514230Z                     }
2022-11-23T01:32:30.0514294Z                 }
2022-11-23T01:32:30.0514387Z             }
2022-11-23T01:32:30.0514455Z         }
2022-11-23T01:32:30.0514523Z     }
2022-11-23T01:32:30.0514588Z }
2022-11-23T01:32:30.0514675Z ''')
2022-11-23T01:32:30.0514681Z 
2022-11-23T01:32:30.0514685Z 
2022-11-23T01:32:30.0514781Z async_compile.wait(globals())
2022-11-23T01:32:30.0514853Z del async_compile
2022-11-23T01:32:30.0514866Z 
2022-11-23T01:32:30.0514934Z def call(args):
2022-11-23T01:32:30.0515015Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0515091Z     args.clear()
2022-11-23T01:32:30.0515294Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0515497Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0515695Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0515772Z     del arg0_1
2022-11-23T01:32:30.0515836Z     del arg1_1
2022-11-23T01:32:30.0515918Z     return (buf0, buf1, )
2022-11-23T01:32:30.0515928Z 
2022-11-23T01:32:30.0515932Z 
2022-11-23T01:32:30.0516018Z if __name__ == "__main__":
2022-11-23T01:32:30.0516140Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0516269Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0516463Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0516663Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0516786Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0516791Z 
2022-11-23T01:32:30.0516855Z ok (1.602s)
2022-11-23T01:32:30.0517380Z   test_masked_fill_promotion_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.0517461Z   warnings.warn(
2022-11-23T01:32:30.0517707Z [2022-11-23 01:25:16,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.0518022Z [2022-11-23 01:25:16,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:32:30.0518242Z [2022-11-23 01:25:16,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0518552Z [2022-11-23 01:25:16,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0518817Z [2022-11-23 01:25:16,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:30.0519113Z [2022-11-23 01:25:16,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:30.0519438Z [2022-11-23 01:25:16,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0519904Z [2022-11-23 01:25:16,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0520326Z [2022-11-23 01:25:16,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0520818Z [2022-11-23 01:25:16,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:30.0521164Z [2022-11-23 01:25:16,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0521462Z [2022-11-23 01:25:16,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0521723Z [2022-11-23 01:25:16,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.0521968Z [2022-11-23 01:25:16,034] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.0522208Z [2022-11-23 01:25:16,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.0522404Z [2022-11-23 01:25:16,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0522548Z  __compiled_fn_150 <eval_with_key>.947 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0522637Z placeholder, mask, mask, (), {}
2022-11-23T01:32:30.0522737Z placeholder, value, value, (), {}
2022-11-23T01:32:30.0522969Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.5,), {}
2022-11-23T01:32:30.0523119Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:30.0523231Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:30.0523236Z 
2022-11-23T01:32:30.0523563Z [2022-11-23 01:25:16,038] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:30.0523669Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0523777Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:30.0523876Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0523965Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0524067Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.0524168Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:30.0524264Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:30.0524363Z               14 CALL_METHOD              1
2022-11-23T01:32:30.0524458Z               16 CALL_METHOD              3
2022-11-23T01:32:30.0524541Z               18 RETURN_VALUE
2022-11-23T01:32:30.0524546Z 
2022-11-23T01:32:30.0524605Z  
2022-11-23T01:32:30.0524937Z [2022-11-23 01:25:16,038] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:30.0525053Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_150)
2022-11-23T01:32:30.0525149Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0525243Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0525339Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.0525439Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0525522Z               10 RETURN_VALUE
2022-11-23T01:32:30.0525527Z 
2022-11-23T01:32:30.0525585Z  
2022-11-23T01:32:30.0525772Z [2022-11-23 01:25:16,038] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0525852Z  - 
2022-11-23T01:32:30.0525982Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:30.0526053Z             {
2022-11-23T01:32:30.0526202Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0526316Z                 'code': None,
2022-11-23T01:32:30.0526521Z                 'obj_weakref': <weakref at 0x7f201e34c770; to 'Tensor' at 0x7f2022f7b510>
2022-11-23T01:32:30.0526775Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0526848Z             }
2022-11-23T01:32:30.0526917Z             
2022-11-23T01:32:30.0526993Z  - 
2022-11-23T01:32:30.0527124Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:30.0527194Z             {
2022-11-23T01:32:30.0527364Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0527481Z                 'code': None,
2022-11-23T01:32:30.0527688Z                 'obj_weakref': <weakref at 0x7f201e34c360; to 'Tensor' at 0x7f2022f788b0>
2022-11-23T01:32:30.0527955Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0528025Z             }
2022-11-23T01:32:30.0528093Z             
2022-11-23T01:32:30.0528168Z  - 
2022-11-23T01:32:30.0528297Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0528367Z             {
2022-11-23T01:32:30.0528493Z                 'guard_types': None,
2022-11-23T01:32:30.0528605Z                 'code': None,
2022-11-23T01:32:30.0528728Z                 'obj_weakref': None
2022-11-23T01:32:30.0528854Z                 'guarded_class': None
2022-11-23T01:32:30.0528924Z             }
2022-11-23T01:32:30.0528985Z             
2022-11-23T01:32:30.0529060Z  - 
2022-11-23T01:32:30.0529200Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0529269Z             {
2022-11-23T01:32:30.0529395Z                 'guard_types': None,
2022-11-23T01:32:30.0529508Z                 'code': None,
2022-11-23T01:32:30.0529627Z                 'obj_weakref': None
2022-11-23T01:32:30.0529751Z                 'guarded_class': None
2022-11-23T01:32:30.0529819Z             }
2022-11-23T01:32:30.0529887Z             
2022-11-23T01:32:30.0530154Z [2022-11-23 01:25:16,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143
2022-11-23T01:32:30.0530510Z [2022-11-23 01:25:17,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h7/ch7cnsxva4l5q6ji75vmn3xro34t52eoi7clzlryqh2f6gnjb6u2.py
2022-11-23T01:32:30.0530778Z [2022-11-23 01:25:17,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143
2022-11-23T01:32:30.0531020Z [2022-11-23 01:25:17,582] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.0531331Z [2022-11-23 01:25:17,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:32:30.0531554Z [2022-11-23 01:25:17,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0531870Z [2022-11-23 01:25:17,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0532144Z [2022-11-23 01:25:17,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:30.0532440Z [2022-11-23 01:25:17,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:30.0532767Z [2022-11-23 01:25:17,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0533244Z [2022-11-23 01:25:17,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0533676Z [2022-11-23 01:25:17,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0534145Z [2022-11-23 01:25:17,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:30.0534494Z [2022-11-23 01:25:17,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0534777Z [2022-11-23 01:25:17,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0535016Z [2022-11-23 01:25:17,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.0535275Z [2022-11-23 01:25:17,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.0535522Z [2022-11-23 01:25:17,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.0535716Z [2022-11-23 01:25:17,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0535857Z  __compiled_fn_151 <eval_with_key>.953 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0535952Z placeholder, mask, mask, (), {}
2022-11-23T01:32:30.0536051Z placeholder, value, value, (), {}
2022-11-23T01:32:30.0536280Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.5,), {}
2022-11-23T01:32:30.0536431Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:30.0536537Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:30.0536543Z 
2022-11-23T01:32:30.0536869Z [2022-11-23 01:25:17,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:30.0536974Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0537082Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:30.0537182Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0537284Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0537386Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.0537487Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:30.0537577Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:30.0537672Z               14 CALL_METHOD              1
2022-11-23T01:32:30.0537768Z               16 CALL_METHOD              3
2022-11-23T01:32:30.0537850Z               18 RETURN_VALUE
2022-11-23T01:32:30.0537855Z 
2022-11-23T01:32:30.0537922Z  
2022-11-23T01:32:30.0538250Z [2022-11-23 01:25:17,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:30.0538370Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_151)
2022-11-23T01:32:30.0538472Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:30.0538560Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:30.0538657Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.0538754Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0538960Z               10 RETURN_VALUE
2022-11-23T01:32:30.0538966Z 
2022-11-23T01:32:30.0539036Z  
2022-11-23T01:32:30.0539224Z [2022-11-23 01:25:17,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0539300Z  - 
2022-11-23T01:32:30.0539424Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:30.0539496Z             {
2022-11-23T01:32:30.0539645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0539757Z                 'code': None,
2022-11-23T01:32:30.0539975Z                 'obj_weakref': <weakref at 0x7f201e368040; to 'Tensor' at 0x7f2022f78130>
2022-11-23T01:32:30.0540225Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0540296Z             }
2022-11-23T01:32:30.0540359Z             
2022-11-23T01:32:30.0540437Z  - 
2022-11-23T01:32:30.0540569Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:30.0540642Z             {
2022-11-23T01:32:30.0540793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0540906Z                 'code': None,
2022-11-23T01:32:30.0541115Z                 'obj_weakref': <weakref at 0x7f201e3681d0; to 'Tensor' at 0x7f2022f7b5b0>
2022-11-23T01:32:30.0541396Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0541468Z             }
2022-11-23T01:32:30.0541538Z             
2022-11-23T01:32:30.0541617Z  - 
2022-11-23T01:32:30.0541783Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0541853Z             {
2022-11-23T01:32:30.0541978Z                 'guard_types': None,
2022-11-23T01:32:30.0542082Z                 'code': None,
2022-11-23T01:32:30.0542204Z                 'obj_weakref': None
2022-11-23T01:32:30.0542330Z                 'guarded_class': None
2022-11-23T01:32:30.0542399Z             }
2022-11-23T01:32:30.0542468Z             
2022-11-23T01:32:30.0542543Z  - 
2022-11-23T01:32:30.0542681Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0542743Z             {
2022-11-23T01:32:30.0542867Z                 'guard_types': None,
2022-11-23T01:32:30.0542979Z                 'code': None,
2022-11-23T01:32:30.0543102Z                 'obj_weakref': None
2022-11-23T01:32:30.0543228Z                 'guarded_class': None
2022-11-23T01:32:30.0543298Z             }
2022-11-23T01:32:30.0543359Z             
2022-11-23T01:32:30.0543616Z [2022-11-23 01:25:17,602] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144
2022-11-23T01:32:30.0543982Z [2022-11-23 01:25:19,150] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/ccte3mktllf2ggsaqt5acsr5dx32yewcoit7coemh3q6ofp4r5lx.py
2022-11-23T01:32:30.0544250Z [2022-11-23 01:25:19,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144
2022-11-23T01:32:30.0544256Z 
2022-11-23T01:32:30.0544357Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0544431Z import torch
2022-11-23T01:32:30.0544506Z import random
2022-11-23T01:32:30.0544627Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0544746Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0544760Z 
2022-11-23T01:32:30.0544836Z aten = torch.ops.aten
2022-11-23T01:32:30.0544978Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0545077Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0545083Z 
2022-11-23T01:32:30.0545166Z import triton
2022-11-23T01:32:30.0545260Z import triton.language as tl
2022-11-23T01:32:30.0545388Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0545532Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0545538Z 
2022-11-23T01:32:30.0545542Z 
2022-11-23T01:32:30.0545680Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0545882Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0546008Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:30.0546118Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0546228Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0546294Z {
2022-11-23T01:32:30.0546398Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0546465Z     {
2022-11-23T01:32:30.0546540Z         #pragma omp for 
2022-11-23T01:32:30.0546629Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0546703Z         {
2022-11-23T01:32:30.0546790Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.0546861Z             {
2022-11-23T01:32:30.0546972Z                 float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:32:30.0547106Z                 flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:32:30.0547252Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:30.0547400Z                 auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (16*i0));
2022-11-23T01:32:30.0547547Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3.5));
2022-11-23T01:32:30.0547682Z                 auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:32:30.0547825Z                 tmp3.store(out_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:32:30.0547896Z             }
2022-11-23T01:32:30.0547996Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.0548089Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:30.0548180Z             {
2022-11-23T01:32:30.0548272Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:30.0548376Z                 auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:30.0548483Z                 auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:32:30.0548585Z                 auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:30.0548683Z                 out_ptr0[i1 + (16*i0)] = tmp3;
2022-11-23T01:32:30.0548752Z             }
2022-11-23T01:32:30.0548813Z         }
2022-11-23T01:32:30.0548880Z     }
2022-11-23T01:32:30.0548944Z }
2022-11-23T01:32:30.0549032Z ''')
2022-11-23T01:32:30.0549038Z 
2022-11-23T01:32:30.0549042Z 
2022-11-23T01:32:30.0549136Z async_compile.wait(globals())
2022-11-23T01:32:30.0549215Z del async_compile
2022-11-23T01:32:30.0549220Z 
2022-11-23T01:32:30.0549299Z def call(args):
2022-11-23T01:32:30.0549373Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0549450Z     args.clear()
2022-11-23T01:32:30.0549654Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0549827Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0549901Z     del arg0_1
2022-11-23T01:32:30.0549975Z     del arg1_1
2022-11-23T01:32:30.0550054Z     return (buf0, )
2022-11-23T01:32:30.0550059Z 
2022-11-23T01:32:30.0550063Z 
2022-11-23T01:32:30.0550137Z if __name__ == "__main__":
2022-11-23T01:32:30.0550355Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0550500Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0550715Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0550940Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0551065Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0551070Z 
2022-11-23T01:32:30.0551075Z 
2022-11-23T01:32:30.0551174Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0551254Z import torch
2022-11-23T01:32:30.0551322Z import random
2022-11-23T01:32:30.0551441Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0551565Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0551570Z 
2022-11-23T01:32:30.0551653Z aten = torch.ops.aten
2022-11-23T01:32:30.0551790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0551887Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0551892Z 
2022-11-23T01:32:30.0551969Z import triton
2022-11-23T01:32:30.0552061Z import triton.language as tl
2022-11-23T01:32:30.0552180Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0552322Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0552327Z 
2022-11-23T01:32:30.0552334Z 
2022-11-23T01:32:30.0552474Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0552683Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0552812Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:30.0552921Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.0553026Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:30.0553096Z {
2022-11-23T01:32:30.0553192Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0553259Z     {
2022-11-23T01:32:30.0553341Z         #pragma omp for 
2022-11-23T01:32:30.0553429Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0553498Z         {
2022-11-23T01:32:30.0553584Z             #pragma GCC ivdep
2022-11-23T01:32:30.0553668Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:30.0553736Z             {
2022-11-23T01:32:30.0553805Z                 {
2022-11-23T01:32:30.0553911Z                     {
2022-11-23T01:32:30.0554014Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:30.0554126Z                         auto tmp3 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:30.0554243Z                         auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:32:30.0554375Z                         auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:32:30.0554482Z                         auto tmp4 = tmp0 ? tmp2 : tmp3;
2022-11-23T01:32:30.0554586Z                         out_ptr0[i1 + (16*i0)] = tmp4;
2022-11-23T01:32:30.0554658Z                     }
2022-11-23T01:32:30.0554728Z                 }
2022-11-23T01:32:30.0554797Z             }
2022-11-23T01:32:30.0554864Z         }
2022-11-23T01:32:30.0554923Z     }
2022-11-23T01:32:30.0554988Z }
2022-11-23T01:32:30.0555076Z ''')
2022-11-23T01:32:30.0555081Z 
2022-11-23T01:32:30.0555086Z 
2022-11-23T01:32:30.0555179Z async_compile.wait(globals())
2022-11-23T01:32:30.0555254Z del async_compile
2022-11-23T01:32:30.0555259Z 
2022-11-23T01:32:30.0555336Z def call(args):
2022-11-23T01:32:30.0555417Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0555486Z     args.clear()
2022-11-23T01:32:30.0555683Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0555858Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0555936Z     del arg0_1
2022-11-23T01:32:30.0556008Z     del arg1_1
2022-11-23T01:32:30.0556085Z     return (buf0, )
2022-11-23T01:32:30.0556090Z 
2022-11-23T01:32:30.0556095Z 
2022-11-23T01:32:30.0556176Z if __name__ == "__main__":
2022-11-23T01:32:30.0556295Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0556414Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0556607Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.0556805Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0556925Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0556930Z 
2022-11-23T01:32:30.0557005Z ok (3.131s)
2022-11-23T01:32:30.0557309Z   test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0557628Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0557848Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0558102Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0558372Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0558689Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0559035Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0559361Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0559741Z [2022-11-23 01:25:19,155] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682> 
2022-11-23T01:32:30.0559845Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0559948Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T01:32:30.0560045Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0560141Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0560267Z               8 CALL_METHOD              2
2022-11-23T01:32:30.0560370Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.0560472Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T01:32:30.0560567Z              14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0560690Z              16 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0560787Z              18 CALL_METHOD              2
2022-11-23T01:32:30.0560879Z              20 BUILD_TUPLE              2
2022-11-23T01:32:30.0560954Z              22 RETURN_VALUE
2022-11-23T01:32:30.0561021Z  
2022-11-23T01:32:30.0561026Z 
2022-11-23T01:32:30.0561342Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683
2022-11-23T01:32:30.0561568Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.0561945Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0562270Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0562618Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0563002Z [2022-11-23 01:25:19,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0563254Z [2022-11-23 01:25:19,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.0563654Z [2022-11-23 01:25:19,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.0564006Z [2022-11-23 01:25:19,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.0564375Z [2022-11-23 01:25:19,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.0564781Z [2022-11-23 01:25:19,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0565054Z [2022-11-23 01:25:19,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0565305Z [2022-11-23 01:25:19,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0565684Z [2022-11-23 01:25:19,158] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682>
2022-11-23T01:32:30.0565940Z [2022-11-23 01:25:19,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0566179Z [2022-11-23 01:25:19,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0566439Z [2022-11-23 01:25:19,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0566691Z [2022-11-23 01:25:19,162] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0566885Z [2022-11-23 01:25:19,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0567018Z  __compiled_fn_152 <eval_with_key>.959 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0567146Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0567240Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0567489Z call_function, maximum, <built-in method maximum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.0567759Z call_function, minimum, <built-in method minimum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.0567877Z output, output, output, ((maximum, minimum),), {}
2022-11-23T01:32:30.0567882Z 
2022-11-23T01:32:30.0568213Z [2022-11-23 01:25:19,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0568312Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0568411Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0568497Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0568603Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0568696Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0568794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0568876Z              12 RETURN_VALUE
2022-11-23T01:32:30.0568881Z 
2022-11-23T01:32:30.0568948Z  
2022-11-23T01:32:30.0569280Z [2022-11-23 01:25:19,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0569390Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_152)
2022-11-23T01:32:30.0569488Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0569585Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0569670Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0569769Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0569863Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0569945Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0570032Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.0570147Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0570259Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0570354Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0570441Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0570547Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0570641Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0570724Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.0570811Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.0570891Z              32 RETURN_VALUE
2022-11-23T01:32:30.0570896Z 
2022-11-23T01:32:30.0570960Z  
2022-11-23T01:32:30.0571151Z [2022-11-23 01:25:19,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0571227Z  - 
2022-11-23T01:32:30.0571351Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0571421Z             {
2022-11-23T01:32:30.0571561Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0571757Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.0571883Z                 'obj_weakref': None
2022-11-23T01:32:30.0572113Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0572185Z             }
2022-11-23T01:32:30.0572255Z             
2022-11-23T01:32:30.0572330Z  - 
2022-11-23T01:32:30.0572453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0572523Z             {
2022-11-23T01:32:30.0572675Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0572788Z                 'code': None,
2022-11-23T01:32:30.0573001Z                 'obj_weakref': <weakref at 0x7f201e34cb30; to 'Tensor' at 0x7f2022f31170>
2022-11-23T01:32:30.0573250Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0573320Z             }
2022-11-23T01:32:30.0573382Z             
2022-11-23T01:32:30.0573458Z  - 
2022-11-23T01:32:30.0573613Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0573682Z             {
2022-11-23T01:32:30.0573829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0573968Z                 'code': None,
2022-11-23T01:32:30.0574173Z                 'obj_weakref': <weakref at 0x7f201e34e0c0; to 'Tensor' at 0x7f20231009a0>
2022-11-23T01:32:30.0574406Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0574481Z             }
2022-11-23T01:32:30.0574550Z             
2022-11-23T01:32:30.0574626Z  - 
2022-11-23T01:32:30.0574760Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0574829Z             {
2022-11-23T01:32:30.0574968Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0575139Z                 'code': ['___check_obj_id(model, 139776005477792)'],
2022-11-23T01:32:30.0575268Z                 'obj_weakref': None
2022-11-23T01:32:30.0575501Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0575574Z             }
2022-11-23T01:32:30.0575645Z             
2022-11-23T01:32:30.0575722Z  - 
2022-11-23T01:32:30.0575852Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0575914Z             {
2022-11-23T01:32:30.0576056Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0576279Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0576404Z                 'obj_weakref': None
2022-11-23T01:32:30.0576633Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0576703Z             }
2022-11-23T01:32:30.0576771Z             
2022-11-23T01:32:30.0576839Z  - 
2022-11-23T01:32:30.0576978Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.0577048Z             {
2022-11-23T01:32:30.0577173Z                 'guard_types': None,
2022-11-23T01:32:30.0577291Z                 'code': None,
2022-11-23T01:32:30.0577416Z                 'obj_weakref': None
2022-11-23T01:32:30.0577542Z                 'guarded_class': None
2022-11-23T01:32:30.0577604Z             }
2022-11-23T01:32:30.0577676Z             
2022-11-23T01:32:30.0577942Z [2022-11-23 01:25:19,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145
2022-11-23T01:32:30.0578307Z [2022-11-23 01:25:20,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xyyz6kywuqyixabbg3lnwqwgva6rp7bw4b37u676wzj45epqfw.py
2022-11-23T01:32:30.0578575Z [2022-11-23 01:25:20,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145
2022-11-23T01:32:30.0578581Z 
2022-11-23T01:32:30.0578681Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0578758Z import torch
2022-11-23T01:32:30.0578944Z import random
2022-11-23T01:32:30.0579066Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0579196Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0579201Z 
2022-11-23T01:32:30.0579285Z aten = torch.ops.aten
2022-11-23T01:32:30.0579425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0579525Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0579531Z 
2022-11-23T01:32:30.0579606Z import triton
2022-11-23T01:32:30.0579699Z import triton.language as tl
2022-11-23T01:32:30.0579819Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0579963Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0579968Z 
2022-11-23T01:32:30.0579973Z 
2022-11-23T01:32:30.0580114Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0580325Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0580452Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0580562Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0580718Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0580823Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.0580882Z {
2022-11-23T01:32:30.0580986Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0581080Z     {
2022-11-23T01:32:30.0581164Z         #pragma omp for 
2022-11-23T01:32:30.0581253Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.0581323Z         {
2022-11-23T01:32:30.0581465Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.0581596Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.0581711Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:32:30.0581825Z             auto tmp3 = at::vec::minimum(tmp0, tmp1);
2022-11-23T01:32:30.0581924Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.0582022Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.0582091Z         }
2022-11-23T01:32:30.0582193Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.0582273Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.0582342Z         {
2022-11-23T01:32:30.0582433Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.0582523Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.0582628Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:30.0582732Z             auto tmp3 = std::min(tmp0, tmp1);
2022-11-23T01:32:30.0582821Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.0582900Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.0582967Z         }
2022-11-23T01:32:30.0583034Z     }
2022-11-23T01:32:30.0583098Z }
2022-11-23T01:32:30.0583186Z ''')
2022-11-23T01:32:30.0583192Z 
2022-11-23T01:32:30.0583196Z 
2022-11-23T01:32:30.0583291Z async_compile.wait(globals())
2022-11-23T01:32:30.0583368Z del async_compile
2022-11-23T01:32:30.0583373Z 
2022-11-23T01:32:30.0583450Z def call(args):
2022-11-23T01:32:30.0583523Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.0583599Z     args.clear()
2022-11-23T01:32:30.0583804Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0584000Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0584208Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0584283Z     del arg0_1
2022-11-23T01:32:30.0584357Z     del arg1_1
2022-11-23T01:32:30.0584432Z     return (buf0, buf1, )
2022-11-23T01:32:30.0584437Z 
2022-11-23T01:32:30.0584448Z 
2022-11-23T01:32:30.0584522Z if __name__ == "__main__":
2022-11-23T01:32:30.0584642Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0584769Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0584968Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0585163Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0585288Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.0585293Z 
2022-11-23T01:32:30.0585366Z ok (1.557s)
2022-11-23T01:32:30.0585672Z   test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0585997Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0586222Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0586480Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0586762Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0587116Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0587464Z [2022-11-23 01:25:20,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0587810Z [2022-11-23 01:25:20,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0588182Z [2022-11-23 01:25:20,712] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952> 
2022-11-23T01:32:30.0588285Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0588401Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0588500Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0588597Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0588697Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0588792Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0588887Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0588987Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0589080Z               16 BUILD_LIST               2
2022-11-23T01:32:30.0589167Z               18 CALL_METHOD              3
2022-11-23T01:32:30.0589248Z               20 RETURN_VALUE
2022-11-23T01:32:30.0589315Z  
2022-11-23T01:32:30.0589320Z 
2022-11-23T01:32:30.0589640Z [2022-11-23 01:25:20,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953
2022-11-23T01:32:30.0589861Z [2022-11-23 01:25:20,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0590193Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0590565Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0590924Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0591269Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0591631Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0591953Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0592318Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0592715Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0593066Z [2022-11-23 01:25:20,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0593315Z [2022-11-23 01:25:20,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0593685Z [2022-11-23 01:25:20,720] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952>
2022-11-23T01:32:30.0594014Z [2022-11-23 01:25:20,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0594257Z [2022-11-23 01:25:20,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0594534Z [2022-11-23 01:25:20,721] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0594787Z [2022-11-23 01:25:20,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0594973Z [2022-11-23 01:25:20,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0595114Z  __compiled_fn_153 <eval_with_key>.965 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0595213Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0595378Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.0595604Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0595830Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0595949Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0595958Z 
2022-11-23T01:32:30.0596285Z [2022-11-23 01:25:20,724] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0596387Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0596479Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0596574Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0596676Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0596768Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0596862Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0596945Z              12 RETURN_VALUE
2022-11-23T01:32:30.0596950Z 
2022-11-23T01:32:30.0597017Z  
2022-11-23T01:32:30.0597343Z [2022-11-23 01:25:20,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0597461Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_153)
2022-11-23T01:32:30.0597561Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0597658Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0597741Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0597837Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0597951Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0598053Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0598150Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0598233Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0598339Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0598437Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0598523Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0598616Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0598698Z              26 RETURN_VALUE
2022-11-23T01:32:30.0598704Z 
2022-11-23T01:32:30.0598765Z  
2022-11-23T01:32:30.0598952Z [2022-11-23 01:25:20,724] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0599029Z  - 
2022-11-23T01:32:30.0599154Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0599222Z             {
2022-11-23T01:32:30.0599366Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0599558Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0599675Z                 'obj_weakref': None
2022-11-23T01:32:30.0599898Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0599968Z             }
2022-11-23T01:32:30.0600038Z             
2022-11-23T01:32:30.0600113Z  - 
2022-11-23T01:32:30.0600272Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0600342Z             {
2022-11-23T01:32:30.0600482Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0600595Z                 'code': None,
2022-11-23T01:32:30.0600828Z                 'obj_weakref': <weakref at 0x7f201e321f30; to 'Tensor' at 0x7f2151eed210>
2022-11-23T01:32:30.0601084Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0601155Z             }
2022-11-23T01:32:30.0601225Z             
2022-11-23T01:32:30.0601300Z  - 
2022-11-23T01:32:30.0601429Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0601497Z             {
2022-11-23T01:32:30.0601638Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0601814Z                 'code': ['___check_obj_id(model, 139777160734192)'],
2022-11-23T01:32:30.0601940Z                 'obj_weakref': None
2022-11-23T01:32:30.0602178Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0602250Z             }
2022-11-23T01:32:30.0602311Z             
2022-11-23T01:32:30.0602388Z  - 
2022-11-23T01:32:30.0602516Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0602589Z             {
2022-11-23T01:32:30.0602732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0602955Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0603082Z                 'obj_weakref': None
2022-11-23T01:32:30.0603301Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0603372Z             }
2022-11-23T01:32:30.0603440Z             
2022-11-23T01:32:30.0603515Z  - 
2022-11-23T01:32:30.0603652Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0603723Z             {
2022-11-23T01:32:30.0603850Z                 'guard_types': None,
2022-11-23T01:32:30.0603955Z                 'code': None,
2022-11-23T01:32:30.0604081Z                 'obj_weakref': None
2022-11-23T01:32:30.0604208Z                 'guarded_class': None
2022-11-23T01:32:30.0604278Z             }
2022-11-23T01:32:30.0604347Z             
2022-11-23T01:32:30.0604613Z [2022-11-23 01:25:20,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146
2022-11-23T01:32:30.0604983Z [2022-11-23 01:25:22,394] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cnyootccplcmixtr3lyods4khz4mmo4stb43fxqogivsoagtaz3b.py
2022-11-23T01:32:30.0605243Z [2022-11-23 01:25:22,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146
2022-11-23T01:32:30.0605260Z 
2022-11-23T01:32:30.0605353Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0605428Z import torch
2022-11-23T01:32:30.0605503Z import random
2022-11-23T01:32:30.0605624Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0605750Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0605759Z 
2022-11-23T01:32:30.0605842Z aten = torch.ops.aten
2022-11-23T01:32:30.0605980Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0606071Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0606079Z 
2022-11-23T01:32:30.0606154Z import triton
2022-11-23T01:32:30.0606248Z import triton.language as tl
2022-11-23T01:32:30.0606375Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0606519Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0606524Z 
2022-11-23T01:32:30.0606529Z 
2022-11-23T01:32:30.0606668Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0606876Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0607002Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0607102Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0607206Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0607318Z {
2022-11-23T01:32:30.0607425Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0607494Z     {
2022-11-23T01:32:30.0607576Z         #pragma omp for 
2022-11-23T01:32:30.0607687Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0607749Z         {
2022-11-23T01:32:30.0607835Z             #pragma GCC ivdep
2022-11-23T01:32:30.0607925Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:30.0607994Z             {
2022-11-23T01:32:30.0608082Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0608180Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:30.0608243Z                 {
2022-11-23T01:32:30.0608316Z                     {
2022-11-23T01:32:30.0608391Z                         {
2022-11-23T01:32:30.0608513Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0608636Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0608760Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0608883Z                             auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609011Z                             auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609125Z                             auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609245Z                             auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609361Z                             auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609476Z                             auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:30.0609601Z                             auto tmp1 = static_cast<long>((2*i2) + (32*i1));
2022-11-23T01:32:30.0609728Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0609837Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:30.0609949Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:30.0610061Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.0610191Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0610295Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:30.0610408Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:30.0610528Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:30.0610654Z                             auto tmp13 = static_cast<long>(16 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0610760Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:30.0610875Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:30.0610986Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:30.0611117Z                             auto tmp18 = static_cast<long>(17 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0611221Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:30.0611336Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:30.0611459Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:30.0611586Z                             auto tmp23 = static_cast<long>(18 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0611690Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:30.0611802Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:30.0611913Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:30.0612038Z                             auto tmp28 = static_cast<long>(32 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0612142Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:30.0612251Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:30.0612394Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:30.0612521Z                             auto tmp33 = static_cast<long>(33 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0612625Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:30.0612761Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:30.0612870Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:30.0612996Z                             auto tmp38 = static_cast<long>(34 + (2*i2) + (32*i1));
2022-11-23T01:32:30.0613100Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:30.0613210Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:30.0619875Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:30.0620016Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41;
2022-11-23T01:32:30.0620130Z                             out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40;
2022-11-23T01:32:30.0620204Z                         }
2022-11-23T01:32:30.0620279Z                     }
2022-11-23T01:32:30.0620350Z                 }
2022-11-23T01:32:30.0620424Z             }
2022-11-23T01:32:30.0620497Z         }
2022-11-23T01:32:30.0620565Z     }
2022-11-23T01:32:30.0620632Z }
2022-11-23T01:32:30.0620730Z ''')
2022-11-23T01:32:30.0620736Z 
2022-11-23T01:32:30.0620741Z 
2022-11-23T01:32:30.0620839Z async_compile.wait(globals())
2022-11-23T01:32:30.0620916Z del async_compile
2022-11-23T01:32:30.0620921Z 
2022-11-23T01:32:30.0620997Z def call(args):
2022-11-23T01:32:30.0621072Z     arg0_1, = args
2022-11-23T01:32:30.0621149Z     args.clear()
2022-11-23T01:32:30.0621367Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0621571Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0621747Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0621821Z     del arg0_1
2022-11-23T01:32:30.0621903Z     return (buf0, buf1, )
2022-11-23T01:32:30.0621909Z 
2022-11-23T01:32:30.0621913Z 
2022-11-23T01:32:30.0621997Z if __name__ == "__main__":
2022-11-23T01:32:30.0622124Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0622256Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0622477Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0622584Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0622597Z 
2022-11-23T01:32:30.0622662Z ok (1.687s)
2022-11-23T01:32:30.0622969Z   test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:22,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0623285Z [2022-11-23 01:25:22,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0623509Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0623766Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0624045Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0624360Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0624701Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0625019Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0625462Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961> 
2022-11-23T01:32:30.0625559Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0625716Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0625814Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0625910Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0626005Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0626102Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0626196Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0626284Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0626375Z               16 BUILD_LIST               2
2022-11-23T01:32:30.0626469Z               18 CALL_METHOD              3
2022-11-23T01:32:30.0626551Z               20 RETURN_VALUE
2022-11-23T01:32:30.0626621Z  
2022-11-23T01:32:30.0626627Z 
2022-11-23T01:32:30.0626944Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962
2022-11-23T01:32:30.0627167Z [2022-11-23 01:25:22,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0627498Z [2022-11-23 01:25:22,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0627769Z [2022-11-23 01:25:22,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0628076Z [2022-11-23 01:25:22,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0628413Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0628784Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0629113Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0629480Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0629881Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0630239Z [2022-11-23 01:25:22,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0630581Z [2022-11-23 01:25:22,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0630964Z [2022-11-23 01:25:22,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961>
2022-11-23T01:32:30.0631214Z [2022-11-23 01:25:22,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0631454Z [2022-11-23 01:25:22,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0631703Z [2022-11-23 01:25:22,432] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0631984Z [2022-11-23 01:25:22,435] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0632177Z [2022-11-23 01:25:22,435] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0632317Z  __compiled_fn_154 <eval_with_key>.971 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0632441Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0632604Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.0632826Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0633049Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0633169Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0633175Z 
2022-11-23T01:32:30.0633487Z [2022-11-23 01:25:22,435] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0633588Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0633690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0633783Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0633881Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0633976Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0634070Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0634145Z              12 RETURN_VALUE
2022-11-23T01:32:30.0634162Z 
2022-11-23T01:32:30.0634221Z  
2022-11-23T01:32:30.0634545Z [2022-11-23 01:25:22,436] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0634660Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_154)
2022-11-23T01:32:30.0634756Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0634854Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0634936Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0635032Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0635136Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0635246Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0635346Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0635427Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0635535Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0635630Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0635712Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0635798Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0635878Z              26 RETURN_VALUE
2022-11-23T01:32:30.0635884Z 
2022-11-23T01:32:30.0635949Z  
2022-11-23T01:32:30.0636137Z [2022-11-23 01:25:22,436] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0636214Z  - 
2022-11-23T01:32:30.0636339Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0636409Z             {
2022-11-23T01:32:30.0636548Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0636738Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0636860Z                 'obj_weakref': None
2022-11-23T01:32:30.0637087Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0637157Z             }
2022-11-23T01:32:30.0637225Z             
2022-11-23T01:32:30.0637301Z  - 
2022-11-23T01:32:30.0637422Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0637489Z             {
2022-11-23T01:32:30.0637635Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0637747Z                 'code': None,
2022-11-23T01:32:30.0637955Z                 'obj_weakref': <weakref at 0x7f201e378450; to 'Tensor' at 0x7f2151eed210>
2022-11-23T01:32:30.0638204Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0638272Z             }
2022-11-23T01:32:30.0638371Z             
2022-11-23T01:32:30.0638440Z  - 
2022-11-23T01:32:30.0638577Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0638647Z             {
2022-11-23T01:32:30.0638811Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0638985Z                 'code': ['___check_obj_id(model, 139776004102400)'],
2022-11-23T01:32:30.0639109Z                 'obj_weakref': None
2022-11-23T01:32:30.0639333Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0639404Z             }
2022-11-23T01:32:30.0639472Z             
2022-11-23T01:32:30.0639547Z  - 
2022-11-23T01:32:30.0639673Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0639743Z             {
2022-11-23T01:32:30.0639883Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0640092Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0640219Z                 'obj_weakref': None
2022-11-23T01:32:30.0640445Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0640514Z             }
2022-11-23T01:32:30.0640584Z             
2022-11-23T01:32:30.0640660Z  - 
2022-11-23T01:32:30.0640797Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0640858Z             {
2022-11-23T01:32:30.0640983Z                 'guard_types': None,
2022-11-23T01:32:30.0641095Z                 'code': None,
2022-11-23T01:32:30.0641219Z                 'obj_weakref': None
2022-11-23T01:32:30.0641347Z                 'guarded_class': None
2022-11-23T01:32:30.0641415Z             }
2022-11-23T01:32:30.0641484Z             
2022-11-23T01:32:30.0641735Z [2022-11-23 01:25:22,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147
2022-11-23T01:32:30.0642105Z [2022-11-23 01:25:24,112] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wu/cwurpgwgyrx53pn7fi4gzztecseew6xcib3wddr23nvp2csuikin.py
2022-11-23T01:32:30.0642373Z [2022-11-23 01:25:24,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147
2022-11-23T01:32:30.0642379Z 
2022-11-23T01:32:30.0642482Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0642557Z import torch
2022-11-23T01:32:30.0642632Z import random
2022-11-23T01:32:30.0642753Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0642879Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0642885Z 
2022-11-23T01:32:30.0642961Z aten = torch.ops.aten
2022-11-23T01:32:30.0643102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0643200Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0643205Z 
2022-11-23T01:32:30.0643279Z import triton
2022-11-23T01:32:30.0643374Z import triton.language as tl
2022-11-23T01:32:30.0643500Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0643650Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0643655Z 
2022-11-23T01:32:30.0643660Z 
2022-11-23T01:32:30.0643800Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0644001Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0644128Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0644240Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0644343Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0644411Z {
2022-11-23T01:32:30.0644514Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0644582Z     {
2022-11-23T01:32:30.0644657Z         #pragma omp for 
2022-11-23T01:32:30.0644747Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:30.0644816Z         {
2022-11-23T01:32:30.0644902Z             #pragma GCC ivdep
2022-11-23T01:32:30.0644991Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:30.0645059Z             {
2022-11-23T01:32:30.0645184Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0645274Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:30.0645345Z                 {
2022-11-23T01:32:30.0645416Z                     {
2022-11-23T01:32:30.0645519Z                         {
2022-11-23T01:32:30.0645642Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0645768Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0645889Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646005Z                             auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646129Z                             auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646246Z                             auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646373Z                             auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646497Z                             auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646621Z                             auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:30.0646750Z                             auto tmp1 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:32:30.0646876Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0646981Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:30.0647083Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:30.0647210Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.0647335Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0647438Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:30.0647551Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:30.0647670Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:30.0647798Z                             auto tmp13 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0647898Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:30.0648010Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:30.0648129Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:30.0648255Z                             auto tmp18 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0648358Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:30.0648469Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:30.0648587Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:30.0648713Z                             auto tmp23 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0648813Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:30.0648925Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:30.0649040Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:30.0649170Z                             auto tmp28 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0649274Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:30.0649383Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:30.0649498Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:30.0649625Z                             auto tmp33 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0649721Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:30.0649829Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:30.0649945Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:30.0650102Z                             auto tmp38 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:32:30.0650207Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:30.0650341Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:30.0650457Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:30.0650572Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41;
2022-11-23T01:32:30.0650678Z                             out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40;
2022-11-23T01:32:30.0650748Z                         }
2022-11-23T01:32:30.0650820Z                     }
2022-11-23T01:32:30.0650890Z                 }
2022-11-23T01:32:30.0650958Z             }
2022-11-23T01:32:30.0651026Z         }
2022-11-23T01:32:30.0651094Z     }
2022-11-23T01:32:30.0651152Z }
2022-11-23T01:32:30.0651243Z ''')
2022-11-23T01:32:30.0651248Z 
2022-11-23T01:32:30.0651253Z 
2022-11-23T01:32:30.0651347Z async_compile.wait(globals())
2022-11-23T01:32:30.0651429Z del async_compile
2022-11-23T01:32:30.0651435Z 
2022-11-23T01:32:30.0651506Z def call(args):
2022-11-23T01:32:30.0651579Z     arg0_1, = args
2022-11-23T01:32:30.0651656Z     args.clear()
2022-11-23T01:32:30.0651879Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0652097Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0652267Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0652339Z     del arg0_1
2022-11-23T01:32:30.0652421Z     return (buf0, buf1, )
2022-11-23T01:32:30.0652426Z 
2022-11-23T01:32:30.0652430Z 
2022-11-23T01:32:30.0652515Z if __name__ == "__main__":
2022-11-23T01:32:30.0652634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0652763Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0652987Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0653101Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0653107Z 
2022-11-23T01:32:30.0653181Z ok (1.725s)
2022-11-23T01:32:30.0653489Z   test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0653801Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0654020Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0654274Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0654550Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0654868Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0655208Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0655522Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0655887Z [2022-11-23 01:25:24,124] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970> 
2022-11-23T01:32:30.0655993Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0656117Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0656216Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0656354Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0656449Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0656547Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0656657Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0656752Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0656845Z               16 BUILD_LIST               2
2022-11-23T01:32:30.0656937Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0657036Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0657127Z               22 BUILD_LIST               2
2022-11-23T01:32:30.0657221Z               24 CALL_METHOD              4
2022-11-23T01:32:30.0657295Z               26 RETURN_VALUE
2022-11-23T01:32:30.0657361Z  
2022-11-23T01:32:30.0657366Z 
2022-11-23T01:32:30.0657683Z [2022-11-23 01:25:24,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972
2022-11-23T01:32:30.0657903Z [2022-11-23 01:25:24,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0658230Z [2022-11-23 01:25:24,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0658513Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0658941Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0659279Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0659653Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0659983Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0660347Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0660735Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0661081Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0661460Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0661876Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0662249Z [2022-11-23 01:25:24,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0662493Z [2022-11-23 01:25:24,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0662864Z [2022-11-23 01:25:24,136] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970>
2022-11-23T01:32:30.0663155Z [2022-11-23 01:25:24,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0663392Z [2022-11-23 01:25:24,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0663676Z [2022-11-23 01:25:24,137] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0663926Z [2022-11-23 01:25:24,139] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0664120Z [2022-11-23 01:25:24,139] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0664251Z  __compiled_fn_155 <eval_with_key>.977 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0664348Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0664518Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:30.0664742Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0664966Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0665087Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0665096Z 
2022-11-23T01:32:30.0665417Z [2022-11-23 01:25:24,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0665517Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0665607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0665700Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0665801Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0665893Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0665988Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0666072Z              12 RETURN_VALUE
2022-11-23T01:32:30.0666078Z 
2022-11-23T01:32:30.0666144Z  
2022-11-23T01:32:30.0666461Z [2022-11-23 01:25:24,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0666579Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_155)
2022-11-23T01:32:30.0666680Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0666777Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0666860Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0666955Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0667066Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0667179Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0667267Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0667350Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0667456Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0667550Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0667634Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0667729Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0667811Z              26 RETURN_VALUE
2022-11-23T01:32:30.0667819Z 
2022-11-23T01:32:30.0667877Z  
2022-11-23T01:32:30.0668064Z [2022-11-23 01:25:24,140] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0668142Z  - 
2022-11-23T01:32:30.0668265Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0668338Z             {
2022-11-23T01:32:30.0668488Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0668678Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0668794Z                 'obj_weakref': None
2022-11-23T01:32:30.0669020Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0669087Z             }
2022-11-23T01:32:30.0669156Z             
2022-11-23T01:32:30.0669234Z  - 
2022-11-23T01:32:30.0669393Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0669464Z             {
2022-11-23T01:32:30.0669603Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0669713Z                 'code': None,
2022-11-23T01:32:30.0669957Z                 'obj_weakref': <weakref at 0x7f2022f13010; to 'Tensor' at 0x7f201e322cf0>
2022-11-23T01:32:30.0670207Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0670348Z             }
2022-11-23T01:32:30.0670436Z             
2022-11-23T01:32:30.0670517Z  - 
2022-11-23T01:32:30.0670645Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0670713Z             {
2022-11-23T01:32:30.0670857Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0671033Z                 'code': ['___check_obj_id(model, 139776005477792)'],
2022-11-23T01:32:30.0671155Z                 'obj_weakref': None
2022-11-23T01:32:30.0671393Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0671464Z             }
2022-11-23T01:32:30.0671525Z             
2022-11-23T01:32:30.0671599Z  - 
2022-11-23T01:32:30.0671726Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0671799Z             {
2022-11-23T01:32:30.0671942Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0672164Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0672289Z                 'obj_weakref': None
2022-11-23T01:32:30.0672506Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0672578Z             }
2022-11-23T01:32:30.0672650Z             
2022-11-23T01:32:30.0672725Z  - 
2022-11-23T01:32:30.0672866Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0672935Z             {
2022-11-23T01:32:30.0673059Z                 'guard_types': None,
2022-11-23T01:32:30.0673163Z                 'code': None,
2022-11-23T01:32:30.0673289Z                 'obj_weakref': None
2022-11-23T01:32:30.0673414Z                 'guarded_class': None
2022-11-23T01:32:30.0673482Z             }
2022-11-23T01:32:30.0673551Z             
2022-11-23T01:32:30.0673812Z [2022-11-23 01:25:24,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148
2022-11-23T01:32:30.0673818Z 
2022-11-23T01:32:30.0673917Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0673984Z import torch
2022-11-23T01:32:30.0674058Z import random
2022-11-23T01:32:30.0674179Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0674310Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0674315Z 
2022-11-23T01:32:30.0674400Z aten = torch.ops.aten
2022-11-23T01:32:30.0674539Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0674638Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0674643Z 
2022-11-23T01:32:30.0674717Z import triton
2022-11-23T01:32:30.0674805Z import triton.language as tl
2022-11-23T01:32:30.0674932Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0675074Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0675083Z 
2022-11-23T01:32:30.0675087Z 
2022-11-23T01:32:30.0675224Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0675432Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0675557Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0675664Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0675767Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0675826Z {
2022-11-23T01:32:30.0675930Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0675999Z     {
2022-11-23T01:32:30.0676081Z         #pragma omp for 
2022-11-23T01:32:30.0676174Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.0676242Z         {
2022-11-23T01:32:30.0676360Z             #pragma GCC ivdep
2022-11-23T01:32:30.0676451Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.0676518Z             {
2022-11-23T01:32:30.0676587Z                 {
2022-11-23T01:32:30.0676684Z                     {
2022-11-23T01:32:30.0676884Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:30.0677000Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:30.0677096Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:30.0677211Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:30.0677313Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:30.0677415Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:30.0677608Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:30.0677711Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:30.0677811Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:30.0677917Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:30.0678013Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:30.0678275Z                         float tmp11 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0678362Z                         if(tmp10)
2022-11-23T01:32:30.0678439Z                         {
2022-11-23T01:32:30.0678615Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0678706Z                             tmp11 = tmp12;
2022-11-23T01:32:30.0678780Z                         }
2022-11-23T01:32:30.0678959Z                         auto tmp13 = static_cast<long>((-9) + (2*i1) + (16*i0));
2022-11-23T01:32:30.0679075Z                         auto tmp14 = static_cast<long>(2*i1);
2022-11-23T01:32:30.0679177Z                         auto tmp15 = tmp14 >= tmp1;
2022-11-23T01:32:30.0679278Z                         auto tmp16 = tmp14 < tmp3;
2022-11-23T01:32:30.0679383Z                         auto tmp17 = tmp15 & tmp16;
2022-11-23T01:32:30.0679483Z                         auto tmp18 = tmp5 & tmp17;
2022-11-23T01:32:30.0679702Z                         float tmp19 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0679781Z                         if(tmp18)
2022-11-23T01:32:30.0679856Z                         {
2022-11-23T01:32:30.0680033Z                             auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0680123Z                             tmp19 = tmp20;
2022-11-23T01:32:30.0680201Z                         }
2022-11-23T01:32:30.0680391Z                         auto tmp21 = static_cast<long>((-8) + (2*i1) + (16*i0));
2022-11-23T01:32:30.0680495Z                         auto tmp22 = tmp19 > tmp11;
2022-11-23T01:32:30.0680606Z                         auto tmp23 = tmp22 ? tmp21 : tmp13;
2022-11-23T01:32:30.0680717Z                         auto tmp24 = std::max(tmp19, tmp11);
2022-11-23T01:32:30.0680837Z                         auto tmp25 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:30.0680937Z                         auto tmp26 = tmp25 >= tmp1;
2022-11-23T01:32:30.0681036Z                         auto tmp27 = tmp25 < tmp3;
2022-11-23T01:32:30.0681135Z                         auto tmp28 = tmp26 & tmp27;
2022-11-23T01:32:30.0681240Z                         auto tmp29 = tmp5 & tmp28;
2022-11-23T01:32:30.0681456Z                         float tmp30 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0681531Z                         if(tmp29)
2022-11-23T01:32:30.0681606Z                         {
2022-11-23T01:32:30.0681782Z                             auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0681871Z                             tmp30 = tmp31;
2022-11-23T01:32:30.0681945Z                         }
2022-11-23T01:32:30.0682137Z                         auto tmp32 = static_cast<long>((-7) + (2*i1) + (16*i0));
2022-11-23T01:32:30.0682238Z                         auto tmp33 = tmp30 > tmp24;
2022-11-23T01:32:30.0682374Z                         auto tmp34 = tmp33 ? tmp32 : tmp23;
2022-11-23T01:32:30.0682486Z                         auto tmp35 = std::max(tmp30, tmp24);
2022-11-23T01:32:30.0682601Z                         auto tmp36 = static_cast<long>(2*i0);
2022-11-23T01:32:30.0682725Z                         auto tmp37 = tmp36 >= tmp1;
2022-11-23T01:32:30.0682823Z                         auto tmp38 = tmp36 < tmp3;
2022-11-23T01:32:30.0682924Z                         auto tmp39 = tmp37 & tmp38;
2022-11-23T01:32:30.0683022Z                         auto tmp40 = tmp39 & tmp9;
2022-11-23T01:32:30.0683245Z                         float tmp41 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0683319Z                         if(tmp40)
2022-11-23T01:32:30.0683394Z                         {
2022-11-23T01:32:30.0683573Z                             auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0683665Z                             tmp41 = tmp42;
2022-11-23T01:32:30.0683738Z                         }
2022-11-23T01:32:30.0683923Z                         auto tmp43 = static_cast<long>((-1) + (2*i1) + (16*i0));
2022-11-23T01:32:30.0684024Z                         auto tmp44 = tmp41 > tmp35;
2022-11-23T01:32:30.0684133Z                         auto tmp45 = tmp44 ? tmp43 : tmp34;
2022-11-23T01:32:30.0684244Z                         auto tmp46 = std::max(tmp41, tmp35);
2022-11-23T01:32:30.0684342Z                         auto tmp47 = tmp39 & tmp17;
2022-11-23T01:32:30.0684559Z                         float tmp48 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0684642Z                         if(tmp47)
2022-11-23T01:32:30.0684717Z                         {
2022-11-23T01:32:30.0684836Z                             auto tmp49 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:30.0684925Z                             tmp48 = tmp49;
2022-11-23T01:32:30.0684991Z                         }
2022-11-23T01:32:30.0685112Z                         auto tmp50 = static_cast<long>((2*i1) + (16*i0));
2022-11-23T01:32:30.0685218Z                         auto tmp51 = tmp48 > tmp46;
2022-11-23T01:32:30.0685327Z                         auto tmp52 = tmp51 ? tmp50 : tmp45;
2022-11-23T01:32:30.0685442Z                         auto tmp53 = std::max(tmp48, tmp46);
2022-11-23T01:32:30.0685544Z                         auto tmp54 = tmp39 & tmp28;
2022-11-23T01:32:30.0685761Z                         float tmp55 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0685843Z                         if(tmp54)
2022-11-23T01:32:30.0685909Z                         {
2022-11-23T01:32:30.0686025Z                             auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0686115Z                             tmp55 = tmp56;
2022-11-23T01:32:30.0686190Z                         }
2022-11-23T01:32:30.0686318Z                         auto tmp57 = static_cast<long>(1 + (2*i1) + (16*i0));
2022-11-23T01:32:30.0686417Z                         auto tmp58 = tmp55 > tmp53;
2022-11-23T01:32:30.0686528Z                         auto tmp59 = tmp58 ? tmp57 : tmp52;
2022-11-23T01:32:30.0686636Z                         auto tmp60 = std::max(tmp55, tmp53);
2022-11-23T01:32:30.0686756Z                         auto tmp61 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:30.0686858Z                         auto tmp62 = tmp61 >= tmp1;
2022-11-23T01:32:30.0686958Z                         auto tmp63 = tmp61 < tmp3;
2022-11-23T01:32:30.0687058Z                         auto tmp64 = tmp62 & tmp63;
2022-11-23T01:32:30.0687157Z                         auto tmp65 = tmp64 & tmp9;
2022-11-23T01:32:30.0687375Z                         float tmp66 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0687457Z                         if(tmp65)
2022-11-23T01:32:30.0687523Z                         {
2022-11-23T01:32:30.0687638Z                             auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0687729Z                             tmp66 = tmp67;
2022-11-23T01:32:30.0687804Z                         }
2022-11-23T01:32:30.0687960Z                         auto tmp68 = static_cast<long>(7 + (2*i1) + (16*i0));
2022-11-23T01:32:30.0688060Z                         auto tmp69 = tmp66 > tmp60;
2022-11-23T01:32:30.0688169Z                         auto tmp70 = tmp69 ? tmp68 : tmp59;
2022-11-23T01:32:30.0688299Z                         auto tmp71 = std::max(tmp66, tmp60);
2022-11-23T01:32:30.0688399Z                         auto tmp72 = tmp64 & tmp17;
2022-11-23T01:32:30.0688623Z                         float tmp73 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0688709Z                         if(tmp72)
2022-11-23T01:32:30.0688782Z                         {
2022-11-23T01:32:30.0688898Z                             auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0688987Z                             tmp73 = tmp74;
2022-11-23T01:32:30.0689053Z                         }
2022-11-23T01:32:30.0689177Z                         auto tmp75 = static_cast<long>(8 + (2*i1) + (16*i0));
2022-11-23T01:32:30.0689278Z                         auto tmp76 = tmp73 > tmp71;
2022-11-23T01:32:30.0689387Z                         auto tmp77 = tmp76 ? tmp75 : tmp70;
2022-11-23T01:32:30.0689504Z                         auto tmp78 = std::max(tmp73, tmp71);
2022-11-23T01:32:30.0689607Z                         auto tmp79 = tmp64 & tmp28;
2022-11-23T01:32:30.0689827Z                         float tmp80 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0689908Z                         if(tmp79)
2022-11-23T01:32:30.0689974Z                         {
2022-11-23T01:32:30.0690088Z                             auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0690177Z                             tmp80 = tmp81;
2022-11-23T01:32:30.0690249Z                         }
2022-11-23T01:32:30.0690373Z                         auto tmp82 = static_cast<long>(9 + (2*i1) + (16*i0));
2022-11-23T01:32:30.0690473Z                         auto tmp83 = tmp80 > tmp78;
2022-11-23T01:32:30.0690582Z                         auto tmp84 = tmp83 ? tmp82 : tmp77;
2022-11-23T01:32:30.0690691Z                         auto tmp85 = std::max(tmp80, tmp78);
2022-11-23T01:32:30.0690911Z                         float tmp86 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0690996Z                         if(tmp10)
2022-11-23T01:32:30.0691067Z                         {
2022-11-23T01:32:30.0691246Z                             auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0691336Z                             tmp86 = tmp87;
2022-11-23T01:32:30.0691409Z                         }
2022-11-23T01:32:30.0691627Z                         float tmp88 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0691701Z                         if(tmp18)
2022-11-23T01:32:30.0691773Z                         {
2022-11-23T01:32:30.0691948Z                             auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0692034Z                             tmp88 = tmp89;
2022-11-23T01:32:30.0692107Z                         }
2022-11-23T01:32:30.0692210Z                         auto tmp90 = tmp88 > tmp86;
2022-11-23T01:32:30.0692321Z                         auto tmp91 = tmp90 ? tmp21 : tmp13;
2022-11-23T01:32:30.0692428Z                         auto tmp92 = std::max(tmp88, tmp86);
2022-11-23T01:32:30.0692652Z                         float tmp93 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0692735Z                         if(tmp29)
2022-11-23T01:32:30.0692809Z                         {
2022-11-23T01:32:30.0692985Z                             auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0693074Z                             tmp93 = tmp94;
2022-11-23T01:32:30.0693145Z                         }
2022-11-23T01:32:30.0693244Z                         auto tmp95 = tmp93 > tmp92;
2022-11-23T01:32:30.0693345Z                         auto tmp96 = tmp95 ? tmp32 : tmp91;
2022-11-23T01:32:30.0693458Z                         auto tmp97 = std::max(tmp93, tmp92);
2022-11-23T01:32:30.0693716Z                         float tmp98 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0693800Z                         if(tmp40)
2022-11-23T01:32:30.0693873Z                         {
2022-11-23T01:32:30.0694050Z                             auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0694211Z                             tmp98 = tmp99;
2022-11-23T01:32:30.0694277Z                         }
2022-11-23T01:32:30.0694382Z                         auto tmp100 = tmp98 > tmp97;
2022-11-23T01:32:30.0694499Z                         auto tmp101 = tmp100 ? tmp43 : tmp96;
2022-11-23T01:32:30.0694614Z                         auto tmp102 = std::max(tmp98, tmp97);
2022-11-23T01:32:30.0694840Z                         float tmp103 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0694919Z                         if(tmp47)
2022-11-23T01:32:30.0694991Z                         {
2022-11-23T01:32:30.0695108Z                             auto tmp104 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:30.0695198Z                             tmp103 = tmp104;
2022-11-23T01:32:30.0695274Z                         }
2022-11-23T01:32:30.0695377Z                         auto tmp105 = tmp103 > tmp102;
2022-11-23T01:32:30.0695490Z                         auto tmp106 = tmp105 ? tmp50 : tmp101;
2022-11-23T01:32:30.0695611Z                         auto tmp107 = std::max(tmp103, tmp102);
2022-11-23T01:32:30.0695833Z                         float tmp108 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0695914Z                         if(tmp54)
2022-11-23T01:32:30.0695980Z                         {
2022-11-23T01:32:30.0696099Z                             auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0696190Z                             tmp108 = tmp109;
2022-11-23T01:32:30.0696264Z                         }
2022-11-23T01:32:30.0696368Z                         auto tmp110 = tmp108 > tmp107;
2022-11-23T01:32:30.0696480Z                         auto tmp111 = tmp110 ? tmp57 : tmp106;
2022-11-23T01:32:30.0696599Z                         auto tmp112 = std::max(tmp108, tmp107);
2022-11-23T01:32:30.0696825Z                         float tmp113 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0696899Z                         if(tmp65)
2022-11-23T01:32:30.0696976Z                         {
2022-11-23T01:32:30.0697094Z                             auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0697187Z                             tmp113 = tmp114;
2022-11-23T01:32:30.0697259Z                         }
2022-11-23T01:32:30.0697362Z                         auto tmp115 = tmp113 > tmp112;
2022-11-23T01:32:30.0697473Z                         auto tmp116 = tmp115 ? tmp68 : tmp111;
2022-11-23T01:32:30.0697584Z                         auto tmp117 = std::max(tmp113, tmp112);
2022-11-23T01:32:30.0697808Z                         float tmp118 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0697888Z                         if(tmp72)
2022-11-23T01:32:30.0697962Z                         {
2022-11-23T01:32:30.0698084Z                             auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0698176Z                             tmp118 = tmp119;
2022-11-23T01:32:30.0698251Z                         }
2022-11-23T01:32:30.0698359Z                         auto tmp120 = tmp118 > tmp117;
2022-11-23T01:32:30.0698463Z                         auto tmp121 = tmp120 ? tmp75 : tmp116;
2022-11-23T01:32:30.0698582Z                         auto tmp122 = std::max(tmp118, tmp117);
2022-11-23T01:32:30.0698926Z                         float tmp123 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.0699012Z                         if(tmp79)
2022-11-23T01:32:30.0699085Z                         {
2022-11-23T01:32:30.0699200Z                             auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:30.0699292Z                             tmp123 = tmp124;
2022-11-23T01:32:30.0699357Z                         }
2022-11-23T01:32:30.0699462Z                         auto tmp125 = tmp123 > tmp122;
2022-11-23T01:32:30.0699634Z                         auto tmp126 = tmp125 ? tmp82 : tmp121;
2022-11-23T01:32:30.0699754Z                         auto tmp127 = std::max(tmp123, tmp122);
2022-11-23T01:32:30.0699855Z                         out_ptr0[i1 + (4*i0)] = tmp85;
2022-11-23T01:32:30.0699988Z                         out_ptr1[i1 + (4*i0)] = tmp126;
2022-11-23T01:32:30.0700060Z                     }
2022-11-23T01:32:30.0700123Z                 }
2022-11-23T01:32:30.0700197Z             }
2022-11-23T01:32:30.0700265Z         }
2022-11-23T01:32:30.0700330Z     }
2022-11-23T01:32:30.0700394Z }
2022-11-23T01:32:30.0700483Z ''')
2022-11-23T01:32:30.0700489Z 
2022-11-23T01:32:30.0700494Z 
2022-11-23T01:32:30.0700591Z async_compile.wait(globals())
2022-11-23T01:32:30.0700662Z del async_compile
2022-11-23T01:32:30.0700672Z 
2022-11-23T01:32:30.0700740Z def call(args):
2022-11-23T01:32:30.0700815Z     arg0_1, = args
2022-11-23T01:32:30.0700891Z     args.clear()
2022-11-23T01:32:30.0701112Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0701329Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0701499Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0701582Z     del arg0_1
2022-11-23T01:32:30.0701657Z     return (buf0, buf1, )
2022-11-23T01:32:30.0701662Z 
2022-11-23T01:32:30.0701667Z 
2022-11-23T01:32:30.0701748Z if __name__ == "__main__":
2022-11-23T01:32:30.0701870Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0701998Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0702213Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0702327Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0702694Z [2022-11-23 01:25:26,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/cax3grjupc3uc3i3ejmai3iup7u27qru7g4ejcvigfav4pir23zl.py
2022-11-23T01:32:30.0702964Z [2022-11-23 01:25:26,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148
2022-11-23T01:32:30.0702970Z 
2022-11-23T01:32:30.0703048Z ok (1.881s)
2022-11-23T01:32:30.0703351Z   test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0703665Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0703886Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0704136Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0704410Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0704726Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0705067Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0705383Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0705747Z [2022-11-23 01:25:26,007] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980> 
2022-11-23T01:32:30.0705848Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0705964Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0706091Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0706191Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0706287Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0706382Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0706502Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0706594Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0706679Z               16 BUILD_LIST               2
2022-11-23T01:32:30.0706771Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.0706862Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.0706955Z               22 BUILD_LIST               2
2022-11-23T01:32:30.0707046Z               24 LOAD_CONST               4 (1)
2022-11-23T01:32:30.0707138Z               26 LOAD_CONST               4 (1)
2022-11-23T01:32:30.0707230Z               28 BUILD_LIST               2
2022-11-23T01:32:30.0707320Z               30 LOAD_CONST               5 (True)
2022-11-23T01:32:30.0707416Z               32 CALL_METHOD              6
2022-11-23T01:32:30.0707498Z               34 RETURN_VALUE
2022-11-23T01:32:30.0707563Z  
2022-11-23T01:32:30.0707569Z 
2022-11-23T01:32:30.0707882Z [2022-11-23 01:25:26,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982
2022-11-23T01:32:30.0708103Z [2022-11-23 01:25:26,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0708429Z [2022-11-23 01:25:26,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0708704Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0709006Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0709339Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0709713Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0710036Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0710470Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0710868Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0711212Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0711596Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0712010Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0712377Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0712808Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0713265Z [2022-11-23 01:25:26,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0713663Z [2022-11-23 01:25:26,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0714094Z [2022-11-23 01:25:26,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0714344Z [2022-11-23 01:25:26,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0714710Z [2022-11-23 01:25:26,016] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980>
2022-11-23T01:32:30.0714950Z [2022-11-23 01:25:26,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0715183Z [2022-11-23 01:25:26,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0715437Z [2022-11-23 01:25:26,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0715683Z [2022-11-23 01:25:26,020] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0715876Z [2022-11-23 01:25:26,020] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0716018Z  __compiled_fn_156 <eval_with_key>.983 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0716113Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0716286Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T01:32:30.0716512Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0716724Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0716841Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0716847Z 
2022-11-23T01:32:30.0717168Z [2022-11-23 01:25:26,020] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0717270Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0717367Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0717461Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0717563Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0717655Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0717743Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0717827Z              12 RETURN_VALUE
2022-11-23T01:32:30.0717832Z 
2022-11-23T01:32:30.0717897Z  
2022-11-23T01:32:30.0718220Z [2022-11-23 01:25:26,020] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0718338Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_156)
2022-11-23T01:32:30.0718435Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0718529Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0718605Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0718701Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0718811Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0718949Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0719046Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0719129Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0719258Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0719352Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0719427Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0719522Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0719604Z              26 RETURN_VALUE
2022-11-23T01:32:30.0719609Z 
2022-11-23T01:32:30.0719674Z  
2022-11-23T01:32:30.0719861Z [2022-11-23 01:25:26,021] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0719938Z  - 
2022-11-23T01:32:30.0720061Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0720123Z             {
2022-11-23T01:32:30.0720267Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0720457Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0720583Z                 'obj_weakref': None
2022-11-23T01:32:30.0720808Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0720881Z             }
2022-11-23T01:32:30.0720949Z             
2022-11-23T01:32:30.0721017Z  - 
2022-11-23T01:32:30.0721146Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0721212Z             {
2022-11-23T01:32:30.0721358Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0721471Z                 'code': None,
2022-11-23T01:32:30.0721681Z                 'obj_weakref': <weakref at 0x7f201e20fec0; to 'Tensor' at 0x7f21279753a0>
2022-11-23T01:32:30.0721932Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0721994Z             }
2022-11-23T01:32:30.0722063Z             
2022-11-23T01:32:30.0722138Z  - 
2022-11-23T01:32:30.0722279Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0722351Z             {
2022-11-23T01:32:30.0722492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0722665Z                 'code': ['___check_obj_id(model, 139780074447360)'],
2022-11-23T01:32:30.0722783Z                 'obj_weakref': None
2022-11-23T01:32:30.0723012Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0723083Z             }
2022-11-23T01:32:30.0723151Z             
2022-11-23T01:32:30.0723226Z  - 
2022-11-23T01:32:30.0723352Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0723420Z             {
2022-11-23T01:32:30.0723553Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0723771Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0723894Z                 'obj_weakref': None
2022-11-23T01:32:30.0724117Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0724191Z             }
2022-11-23T01:32:30.0724259Z             
2022-11-23T01:32:30.0724335Z  - 
2022-11-23T01:32:30.0724463Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0724534Z             {
2022-11-23T01:32:30.0724658Z                 'guard_types': None,
2022-11-23T01:32:30.0724770Z                 'code': None,
2022-11-23T01:32:30.0724892Z                 'obj_weakref': None
2022-11-23T01:32:30.0725016Z                 'guarded_class': None
2022-11-23T01:32:30.0725077Z             }
2022-11-23T01:32:30.0725145Z             
2022-11-23T01:32:30.0725403Z [2022-11-23 01:25:26,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149
2022-11-23T01:32:30.0725757Z [2022-11-23 01:25:27,718] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6q/c6qb655d6lplyt4lrzuacx4ps4s3yty63gbcj3fxrkixpdefia5t.py
2022-11-23T01:32:30.0726051Z [2022-11-23 01:25:27,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149
2022-11-23T01:32:30.0726058Z 
2022-11-23T01:32:30.0726154Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0726229Z import torch
2022-11-23T01:32:30.0726302Z import random
2022-11-23T01:32:30.0726440Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0726567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0726573Z 
2022-11-23T01:32:30.0726655Z aten = torch.ops.aten
2022-11-23T01:32:30.0726794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0726891Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0726896Z 
2022-11-23T01:32:30.0726969Z import triton
2022-11-23T01:32:30.0727060Z import triton.language as tl
2022-11-23T01:32:30.0727187Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0727322Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0727327Z 
2022-11-23T01:32:30.0727338Z 
2022-11-23T01:32:30.0727469Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0727682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0727808Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0727921Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0728025Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0728091Z {
2022-11-23T01:32:30.0728194Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0728254Z     {
2022-11-23T01:32:30.0728337Z         #pragma omp for 
2022-11-23T01:32:30.0728426Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.0728493Z         {
2022-11-23T01:32:30.0728581Z             #pragma GCC ivdep
2022-11-23T01:32:30.0728673Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:32:30.0728734Z             {
2022-11-23T01:32:30.0728820Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0728914Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:32:30.0728986Z                 {
2022-11-23T01:32:30.0729060Z                     {
2022-11-23T01:32:30.0729134Z                         {
2022-11-23T01:32:30.0729259Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729378Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729496Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729619Z                             auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729742Z                             auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729860Z                             auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0729980Z                             auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0730100Z                             auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0730220Z                             auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:30.0730344Z                             auto tmp1 = static_cast<long>((2*i2) + (222*i1));
2022-11-23T01:32:30.0730468Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0730574Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:30.0730685Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:30.0730805Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.0730932Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0731036Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:30.0731145Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:30.0731261Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:30.0731405Z                             auto tmp13 = static_cast<long>(111 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0731510Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:30.0731623Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:30.0731773Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:30.0731916Z                             auto tmp18 = static_cast<long>(112 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0732041Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:30.0732151Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:30.0732261Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:30.0732389Z                             auto tmp23 = static_cast<long>(113 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0732494Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:30.0732604Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:30.0732725Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:30.0732849Z                             auto tmp28 = static_cast<long>(222 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0732956Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:30.0733067Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:30.0733176Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:30.0733303Z                             auto tmp33 = static_cast<long>(223 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0733403Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:30.0733513Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:30.0733628Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:30.0733752Z                             auto tmp38 = static_cast<long>(224 + (2*i2) + (222*i1));
2022-11-23T01:32:30.0733855Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:30.0733966Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:30.0734073Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:30.0734189Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41;
2022-11-23T01:32:30.0734301Z                             out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40;
2022-11-23T01:32:30.0734375Z                         }
2022-11-23T01:32:30.0734448Z                     }
2022-11-23T01:32:30.0734517Z                 }
2022-11-23T01:32:30.0734584Z             }
2022-11-23T01:32:30.0734645Z         }
2022-11-23T01:32:30.0734709Z     }
2022-11-23T01:32:30.0734772Z }
2022-11-23T01:32:30.0734860Z ''')
2022-11-23T01:32:30.0734866Z 
2022-11-23T01:32:30.0734871Z 
2022-11-23T01:32:30.0734966Z async_compile.wait(globals())
2022-11-23T01:32:30.0735042Z del async_compile
2022-11-23T01:32:30.0735047Z 
2022-11-23T01:32:30.0735125Z def call(args):
2022-11-23T01:32:30.0735203Z     arg0_1, = args
2022-11-23T01:32:30.0735272Z     args.clear()
2022-11-23T01:32:30.0735499Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0735718Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0735887Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0735962Z     del arg0_1
2022-11-23T01:32:30.0736043Z     return (buf0, buf1, )
2022-11-23T01:32:30.0736048Z 
2022-11-23T01:32:30.0736053Z 
2022-11-23T01:32:30.0736133Z if __name__ == "__main__":
2022-11-23T01:32:30.0736245Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0736372Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0736601Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0736746Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0736752Z 
2022-11-23T01:32:30.0736825Z ok (1.718s)
2022-11-23T01:32:30.0737136Z   test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:25:27,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0737470Z [2022-11-23 01:25:27,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0737690Z [2022-11-23 01:25:27,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0737942Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0738210Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0738536Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0739099Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0739431Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0739802Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990> 
2022-11-23T01:32:30.0739905Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0740031Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0740127Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0740222Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0740310Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0740405Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0740498Z               12 BUILD_LIST               0
2022-11-23T01:32:30.0740589Z               14 CALL_METHOD              3
2022-11-23T01:32:30.0740680Z               16 RETURN_VALUE
2022-11-23T01:32:30.0740747Z  
2022-11-23T01:32:30.0740752Z 
2022-11-23T01:32:30.0741068Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991
2022-11-23T01:32:30.0741288Z [2022-11-23 01:25:27,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0741613Z [2022-11-23 01:25:27,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0741928Z [2022-11-23 01:25:27,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0742258Z [2022-11-23 01:25:27,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0742602Z [2022-11-23 01:25:27,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0742981Z [2022-11-23 01:25:27,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0743311Z [2022-11-23 01:25:27,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0743665Z [2022-11-23 01:25:27,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0743974Z [2022-11-23 01:25:27,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0744354Z [2022-11-23 01:25:27,754] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990>
2022-11-23T01:32:30.0744634Z [2022-11-23 01:25:27,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0744871Z [2022-11-23 01:25:27,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0745127Z [2022-11-23 01:25:27,755] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0745373Z [2022-11-23 01:25:27,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0745570Z [2022-11-23 01:25:27,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0745717Z  __compiled_fn_157 <eval_with_key>.989 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0745810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0745969Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T01:32:30.0746191Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0746410Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0746529Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0746535Z 
2022-11-23T01:32:30.0746849Z [2022-11-23 01:25:27,758] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0746950Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0747047Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0747140Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0747240Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0747333Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0747427Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0747505Z              12 RETURN_VALUE
2022-11-23T01:32:30.0747520Z 
2022-11-23T01:32:30.0747579Z  
2022-11-23T01:32:30.0747903Z [2022-11-23 01:25:27,758] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0748018Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_157)
2022-11-23T01:32:30.0748114Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0748210Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0748294Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0748387Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0748490Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0748599Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0748694Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0748776Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0748884Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0748982Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0749061Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0749147Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0749229Z              26 RETURN_VALUE
2022-11-23T01:32:30.0749233Z 
2022-11-23T01:32:30.0749299Z  
2022-11-23T01:32:30.0749484Z [2022-11-23 01:25:27,759] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0749562Z  - 
2022-11-23T01:32:30.0749685Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0749754Z             {
2022-11-23T01:32:30.0749893Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0750081Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0750241Z                 'obj_weakref': None
2022-11-23T01:32:30.0750560Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0750663Z             }
2022-11-23T01:32:30.0750733Z             
2022-11-23T01:32:30.0750809Z  - 
2022-11-23T01:32:30.0750929Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0750998Z             {
2022-11-23T01:32:30.0751145Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0751255Z                 'code': None,
2022-11-23T01:32:30.0751491Z                 'obj_weakref': <weakref at 0x7f201e3879c0; to 'Tensor' at 0x7f21279753a0>
2022-11-23T01:32:30.0751763Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0751833Z             }
2022-11-23T01:32:30.0751902Z             
2022-11-23T01:32:30.0751970Z  - 
2022-11-23T01:32:30.0752104Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0752181Z             {
2022-11-23T01:32:30.0752319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0752493Z                 'code': ['___check_obj_id(model, 139777337104784)'],
2022-11-23T01:32:30.0752616Z                 'obj_weakref': None
2022-11-23T01:32:30.0752841Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0752903Z             }
2022-11-23T01:32:30.0752977Z             
2022-11-23T01:32:30.0753053Z  - 
2022-11-23T01:32:30.0753177Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0753244Z             {
2022-11-23T01:32:30.0753384Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0753592Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0753713Z                 'obj_weakref': None
2022-11-23T01:32:30.0753935Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0754005Z             }
2022-11-23T01:32:30.0754075Z             
2022-11-23T01:32:30.0754149Z  - 
2022-11-23T01:32:30.0754283Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0754345Z             {
2022-11-23T01:32:30.0754472Z                 'guard_types': None,
2022-11-23T01:32:30.0754581Z                 'code': None,
2022-11-23T01:32:30.0754705Z                 'obj_weakref': None
2022-11-23T01:32:30.0754829Z                 'guarded_class': None
2022-11-23T01:32:30.0754899Z             }
2022-11-23T01:32:30.0754968Z             
2022-11-23T01:32:30.0755223Z [2022-11-23 01:25:27,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150
2022-11-23T01:32:30.0755584Z [2022-11-23 01:25:29,432] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/22/c22awky6mbgmh27jeexjcaqjgwczgai5eqif7ok5gwvxx5jk2aic.py
2022-11-23T01:32:30.0755851Z [2022-11-23 01:25:29,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150
2022-11-23T01:32:30.0755860Z 
2022-11-23T01:32:30.0755959Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0756034Z import torch
2022-11-23T01:32:30.0756107Z import random
2022-11-23T01:32:30.0756230Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0756355Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0756360Z 
2022-11-23T01:32:30.0756436Z aten = torch.ops.aten
2022-11-23T01:32:30.0756574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0756670Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0756675Z 
2022-11-23T01:32:30.0756751Z import triton
2022-11-23T01:32:30.0756844Z import triton.language as tl
2022-11-23T01:32:30.0756970Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0757116Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0757121Z 
2022-11-23T01:32:30.0757126Z 
2022-11-23T01:32:30.0757262Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0757505Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0757634Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.0757769Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.0757873Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.0757938Z {
2022-11-23T01:32:30.0758043Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0758110Z     {
2022-11-23T01:32:30.0758184Z         #pragma omp for 
2022-11-23T01:32:30.0758274Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:30.0758342Z         {
2022-11-23T01:32:30.0758429Z             #pragma GCC ivdep
2022-11-23T01:32:30.0758520Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:32:30.0758587Z             {
2022-11-23T01:32:30.0758674Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0758761Z                 for(long i2=0; i2<18; i2+=1)
2022-11-23T01:32:30.0758830Z                 {
2022-11-23T01:32:30.0758905Z                     {
2022-11-23T01:32:30.0758978Z                         {
2022-11-23T01:32:30.0759100Z                             auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759228Z                             auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759346Z                             auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759468Z                             auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759585Z                             auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759701Z                             auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759822Z                             auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0759943Z                             auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0760066Z                             auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:30.0760188Z                             auto tmp1 = static_cast<long>((3*i2) + (165*i1));
2022-11-23T01:32:30.0760317Z                             auto tmp3 = static_cast<long>(1 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0760421Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:30.0760524Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:30.0760642Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.0760769Z                             auto tmp8 = static_cast<long>(2 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0760873Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:30.0760985Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:30.0761103Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:30.0761231Z                             auto tmp13 = static_cast<long>(55 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0761347Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:30.0761465Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:30.0761611Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:30.0761736Z                             auto tmp18 = static_cast<long>(56 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0761838Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:30.0761951Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:30.0762067Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:30.0762195Z                             auto tmp23 = static_cast<long>(57 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0762291Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:30.0762399Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:30.0762543Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:30.0762673Z                             auto tmp28 = static_cast<long>(110 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0762801Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:30.0762911Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:30.0763027Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:30.0763157Z                             auto tmp33 = static_cast<long>(111 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0763253Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:30.0763363Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:30.0763479Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:30.0763607Z                             auto tmp38 = static_cast<long>(112 + (3*i2) + (165*i1));
2022-11-23T01:32:30.0763713Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:30.0763825Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:30.0763940Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:30.0764060Z                             out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41;
2022-11-23T01:32:30.0764165Z                             out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40;
2022-11-23T01:32:30.0764241Z                         }
2022-11-23T01:32:30.0764313Z                     }
2022-11-23T01:32:30.0764381Z                 }
2022-11-23T01:32:30.0764450Z             }
2022-11-23T01:32:30.0764517Z         }
2022-11-23T01:32:30.0764584Z     }
2022-11-23T01:32:30.0764642Z }
2022-11-23T01:32:30.0764730Z ''')
2022-11-23T01:32:30.0764735Z 
2022-11-23T01:32:30.0764740Z 
2022-11-23T01:32:30.0764834Z async_compile.wait(globals())
2022-11-23T01:32:30.0764911Z del async_compile
2022-11-23T01:32:30.0764916Z 
2022-11-23T01:32:30.0764991Z def call(args):
2022-11-23T01:32:30.0765066Z     arg0_1, = args
2022-11-23T01:32:30.0765149Z     args.clear()
2022-11-23T01:32:30.0765368Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0765586Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0765763Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.0765834Z     del arg0_1
2022-11-23T01:32:30.0765916Z     return (buf0, buf1, )
2022-11-23T01:32:30.0765921Z 
2022-11-23T01:32:30.0765925Z 
2022-11-23T01:32:30.0766005Z if __name__ == "__main__":
2022-11-23T01:32:30.0766128Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0766255Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0766474Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0766587Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0766594Z 
2022-11-23T01:32:30.0766667Z ok (1.717s)
2022-11-23T01:32:30.0766975Z   test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0767289Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0767507Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0767759Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0768044Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0768358Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0768734Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0769070Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0769445Z [2022-11-23 01:25:29,461] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000> 
2022-11-23T01:32:30.0769547Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0769671Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:30.0769768Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.0769868Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:30.0769964Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:30.0770061Z               10 BUILD_LIST               2
2022-11-23T01:32:30.0770146Z               12 BUILD_LIST               0
2022-11-23T01:32:30.0770237Z               14 CALL_METHOD              3
2022-11-23T01:32:30.0770323Z               16 RETURN_VALUE
2022-11-23T01:32:30.0770390Z  
2022-11-23T01:32:30.0770395Z 
2022-11-23T01:32:30.0770710Z [2022-11-23 01:25:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001
2022-11-23T01:32:30.0770936Z [2022-11-23 01:25:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0771262Z [2022-11-23 01:25:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0771537Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.0771848Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.0772178Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0772551Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0772877Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0773227Z [2022-11-23 01:25:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0773475Z [2022-11-23 01:25:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0773844Z [2022-11-23 01:25:29,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000>
2022-11-23T01:32:30.0774090Z [2022-11-23 01:25:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.0774325Z [2022-11-23 01:25:29,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0774577Z [2022-11-23 01:25:29,470] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0774828Z [2022-11-23 01:25:29,473] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0775020Z [2022-11-23 01:25:29,473] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0775184Z  __compiled_fn_158 <eval_with_key>.995 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0775281Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0775442Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T01:32:30.0775683Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.0775904Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:30.0776024Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.0776029Z 
2022-11-23T01:32:30.0776349Z [2022-11-23 01:25:29,473] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0776452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0776542Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0776635Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0776738Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0776832Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0776925Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0777012Z              12 RETURN_VALUE
2022-11-23T01:32:30.0777018Z 
2022-11-23T01:32:30.0777082Z  
2022-11-23T01:32:30.0777405Z [2022-11-23 01:25:29,473] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0777514Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_158)
2022-11-23T01:32:30.0777610Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0777705Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0777788Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0777881Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.0777991Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.0778102Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0778191Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0778272Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.0778377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.0778477Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0778557Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.0778652Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.0778733Z              26 RETURN_VALUE
2022-11-23T01:32:30.0778738Z 
2022-11-23T01:32:30.0778981Z  
2022-11-23T01:32:30.0779175Z [2022-11-23 01:25:29,474] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0779254Z  - 
2022-11-23T01:32:30.0779378Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0779447Z             {
2022-11-23T01:32:30.0779593Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0779784Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.0779903Z                 'obj_weakref': None
2022-11-23T01:32:30.0780127Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0780197Z             }
2022-11-23T01:32:30.0780269Z             
2022-11-23T01:32:30.0780346Z  - 
2022-11-23T01:32:30.0780474Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0780546Z             {
2022-11-23T01:32:30.0780684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0780799Z                 'code': None,
2022-11-23T01:32:30.0781007Z                 'obj_weakref': <weakref at 0x7f20680bc680; to 'Tensor' at 0x7f21278ab0b0>
2022-11-23T01:32:30.0781259Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0781327Z             }
2022-11-23T01:32:30.0781395Z             
2022-11-23T01:32:30.0781470Z  - 
2022-11-23T01:32:30.0781599Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0781666Z             {
2022-11-23T01:32:30.0781851Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0782028Z                 'code': ['___check_obj_id(model, 139777337104784)'],
2022-11-23T01:32:30.0782150Z                 'obj_weakref': None
2022-11-23T01:32:30.0782409Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0782477Z             }
2022-11-23T01:32:30.0782538Z             
2022-11-23T01:32:30.0782613Z  - 
2022-11-23T01:32:30.0782739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0782808Z             {
2022-11-23T01:32:30.0782949Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0783169Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0783292Z                 'obj_weakref': None
2022-11-23T01:32:30.0783511Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0783584Z             }
2022-11-23T01:32:30.0783652Z             
2022-11-23T01:32:30.0783729Z  - 
2022-11-23T01:32:30.0783865Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0783933Z             {
2022-11-23T01:32:30.0784062Z                 'guard_types': None,
2022-11-23T01:32:30.0784166Z                 'code': None,
2022-11-23T01:32:30.0784289Z                 'obj_weakref': None
2022-11-23T01:32:30.0784415Z                 'guarded_class': None
2022-11-23T01:32:30.0784484Z             }
2022-11-23T01:32:30.0784552Z             
2022-11-23T01:32:30.0784815Z [2022-11-23 01:25:29,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151
2022-11-23T01:32:30.0785061Z [2022-11-23 01:25:29,479] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T01:32:30.0785423Z [2022-11-23 01:25:29,482] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmjqdrpyyfgsx2uvouh45snl3utwkvpgmwwynfhq4thwl4tq7ms.py
2022-11-23T01:32:30.0785682Z [2022-11-23 01:25:29,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151
2022-11-23T01:32:30.0785688Z 
2022-11-23T01:32:30.0785787Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0785864Z import torch
2022-11-23T01:32:30.0785937Z import random
2022-11-23T01:32:30.0786058Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0786185Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0786190Z 
2022-11-23T01:32:30.0786272Z aten = torch.ops.aten
2022-11-23T01:32:30.0786404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0786501Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0786506Z 
2022-11-23T01:32:30.0786581Z import triton
2022-11-23T01:32:30.0786672Z import triton.language as tl
2022-11-23T01:32:30.0786799Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0786942Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0786951Z 
2022-11-23T01:32:30.0786955Z 
2022-11-23T01:32:30.0787049Z async_compile.wait(globals())
2022-11-23T01:32:30.0787126Z del async_compile
2022-11-23T01:32:30.0787131Z 
2022-11-23T01:32:30.0787209Z def call(args):
2022-11-23T01:32:30.0787276Z     arg0_1, = args
2022-11-23T01:32:30.0787352Z     args.clear()
2022-11-23T01:32:30.0787491Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T01:32:30.0787564Z     del arg0_1
2022-11-23T01:32:30.0787638Z     buf1 = buf0[0]
2022-11-23T01:32:30.0787753Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:30.0787819Z     buf2 = buf0[1]
2022-11-23T01:32:30.0787932Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:30.0788001Z     del buf0
2022-11-23T01:32:30.0788084Z     return (buf1, buf2, )
2022-11-23T01:32:30.0788089Z 
2022-11-23T01:32:30.0788094Z 
2022-11-23T01:32:30.0788174Z if __name__ == "__main__":
2022-11-23T01:32:30.0788342Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0788472Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0788703Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0788832Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.0788846Z 
2022-11-23T01:32:30.0788911Z ok (0.047s)
2022-11-23T01:32:30.0789252Z   test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:29,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0789565Z [2022-11-23 01:25:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0789783Z [2022-11-23 01:25:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0790037Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0790404Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0790769Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0791118Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0791444Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0791813Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932> 
2022-11-23T01:32:30.0791916Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0792055Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:30.0792060Z 
2022-11-23T01:32:30.0792158Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0792257Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0792355Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0792448Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:30.0792542Z               12 BUILD_LIST               2
2022-11-23T01:32:30.0792630Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0792725Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0792818Z               18 BUILD_LIST               2
2022-11-23T01:32:30.0792912Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0793009Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0793102Z               24 BUILD_LIST               2
2022-11-23T01:32:30.0793197Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0793282Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0793379Z               30 BUILD_LIST               2
2022-11-23T01:32:30.0793481Z               32 LOAD_CONST               4 (True)
2022-11-23T01:32:30.0793575Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:30.0793580Z 
2022-11-23T01:32:30.0793674Z 3933          36 CALL_METHOD              8
2022-11-23T01:32:30.0793755Z               38 RETURN_VALUE
2022-11-23T01:32:30.0793821Z  
2022-11-23T01:32:30.0793826Z 
2022-11-23T01:32:30.0794144Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:30.0794359Z [2022-11-23 01:25:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0794796Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0795115Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934
2022-11-23T01:32:30.0795437Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:30.0795761Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:30.0796105Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0796485Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0796901Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0797271Z [2022-11-23 01:25:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0797670Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0798101Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0798493Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0798922Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0799378Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0799785Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0800226Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0800701Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0801139Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0801632Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0801944Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:30.0802469Z [2022-11-23 01:25:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:30.0802717Z [2022-11-23 01:25:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0803091Z [2022-11-23 01:25:29,498] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932>
2022-11-23T01:32:30.0803342Z [2022-11-23 01:25:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0803584Z [2022-11-23 01:25:29,498] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0803838Z [2022-11-23 01:25:29,499] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0804097Z [2022-11-23 01:25:29,501] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0804294Z [2022-11-23 01:25:29,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0804431Z  __compiled_fn_159 <eval_with_key>.1001 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0804529Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0804625Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0804717Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.0804926Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T01:32:30.0805068Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:30.0805074Z 
2022-11-23T01:32:30.0805409Z [2022-11-23 01:25:29,502] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0805512Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0805603Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0805701Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0805803Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0805897Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0805996Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0806077Z              12 RETURN_VALUE
2022-11-23T01:32:30.0806083Z 
2022-11-23T01:32:30.0806147Z  
2022-11-23T01:32:30.0806480Z [2022-11-23 01:25:29,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0806590Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_159)
2022-11-23T01:32:30.0806686Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0806785Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0806867Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0806962Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0807057Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0807143Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0807231Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0807324Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0807404Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.0807500Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.0807599Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0807680Z              24 RETURN_VALUE
2022-11-23T01:32:30.0807685Z 
2022-11-23T01:32:30.0807781Z  
2022-11-23T01:32:30.0807967Z [2022-11-23 01:25:29,502] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0808043Z  - 
2022-11-23T01:32:30.0808169Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0808264Z             {
2022-11-23T01:32:30.0808414Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0808607Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.0808730Z                 'obj_weakref': None
2022-11-23T01:32:30.0808961Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0809024Z             }
2022-11-23T01:32:30.0809093Z             
2022-11-23T01:32:30.0809167Z  - 
2022-11-23T01:32:30.0809298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0809370Z             {
2022-11-23T01:32:30.0809519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0809624Z                 'code': None,
2022-11-23T01:32:30.0809842Z                 'obj_weakref': <weakref at 0x7f21159e8f40; to 'Tensor' at 0x7f201e3a41d0>
2022-11-23T01:32:30.0810097Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0810174Z             }
2022-11-23T01:32:30.0810243Z             
2022-11-23T01:32:30.0810319Z  - 
2022-11-23T01:32:30.0810446Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0810507Z             {
2022-11-23T01:32:30.0810655Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0810769Z                 'code': None,
2022-11-23T01:32:30.0810980Z                 'obj_weakref': <weakref at 0x7f201e378db0; to 'Tensor' at 0x7f201e3e7970>
2022-11-23T01:32:30.0811231Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0811300Z             }
2022-11-23T01:32:30.0811369Z             
2022-11-23T01:32:30.0811444Z  - 
2022-11-23T01:32:30.0811566Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.0811635Z             {
2022-11-23T01:32:30.0811782Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0811915Z                 'code': None,
2022-11-23T01:32:30.0812155Z                 'obj_weakref': <weakref at 0x7f20682acdb0; to 'Tensor' at 0x7f201e3d6020>
2022-11-23T01:32:30.0812399Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0812466Z             }
2022-11-23T01:32:30.0812527Z             
2022-11-23T01:32:30.0812601Z  - 
2022-11-23T01:32:30.0812737Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0812806Z             {
2022-11-23T01:32:30.0812946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0813123Z                 'code': ['___check_obj_id(model, 139777337104784)'],
2022-11-23T01:32:30.0813248Z                 'obj_weakref': None
2022-11-23T01:32:30.0813475Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0813544Z             }
2022-11-23T01:32:30.0813612Z             
2022-11-23T01:32:30.0813686Z  - 
2022-11-23T01:32:30.0813813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0813884Z             {
2022-11-23T01:32:30.0814018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0814244Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0814367Z                 'obj_weakref': None
2022-11-23T01:32:30.0814594Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0814662Z             }
2022-11-23T01:32:30.0814729Z             
2022-11-23T01:32:30.0814803Z  - 
2022-11-23T01:32:30.0814933Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0815000Z             {
2022-11-23T01:32:30.0815125Z                 'guard_types': None,
2022-11-23T01:32:30.0815269Z                 'code': None,
2022-11-23T01:32:30.0815395Z                 'obj_weakref': None
2022-11-23T01:32:30.0815521Z                 'guarded_class': None
2022-11-23T01:32:30.0815590Z             }
2022-11-23T01:32:30.0815675Z             
2022-11-23T01:32:30.0815941Z [2022-11-23 01:25:29,508] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152
2022-11-23T01:32:30.0816310Z [2022-11-23 01:25:31,147] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7omrnnge5mjulylh3fek2gleq5e4dw2lginf43mszaz3tzwhbms.py
2022-11-23T01:32:30.0816582Z [2022-11-23 01:25:31,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152
2022-11-23T01:32:30.0816588Z 
2022-11-23T01:32:30.0816688Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0816762Z import torch
2022-11-23T01:32:30.0816836Z import random
2022-11-23T01:32:30.0816957Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0817080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0817093Z 
2022-11-23T01:32:30.0817170Z aten = torch.ops.aten
2022-11-23T01:32:30.0817309Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0817411Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0817416Z 
2022-11-23T01:32:30.0817494Z import triton
2022-11-23T01:32:30.0817588Z import triton.language as tl
2022-11-23T01:32:30.0817715Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0817861Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0817867Z 
2022-11-23T01:32:30.0817871Z 
2022-11-23T01:32:30.0818002Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0818213Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0818339Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0818451Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0818561Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0818626Z {
2022-11-23T01:32:30.0818726Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0818973Z     {
2022-11-23T01:32:30.0819051Z         #pragma omp for 
2022-11-23T01:32:30.0819142Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0819209Z         {
2022-11-23T01:32:30.0819296Z             #pragma GCC ivdep
2022-11-23T01:32:30.0819387Z             for(long i1=0; i1<40; i1+=1)
2022-11-23T01:32:30.0819455Z             {
2022-11-23T01:32:30.0819535Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0819630Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:32:30.0819699Z                 {
2022-11-23T01:32:30.0819771Z                     {
2022-11-23T01:32:30.0819845Z                         {
2022-11-23T01:32:30.0819967Z                             auto tmp0 = static_cast<int>(i2 + (56*i1));
2022-11-23T01:32:30.0820086Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:32:30.0820196Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:32:30.0820319Z                             auto tmp3 = static_cast<int>(1 + (((1 + i1) / 2)));
2022-11-23T01:32:30.0820442Z                             auto tmp4 = static_cast<int>(1 + (((1 + i2) / 2)));
2022-11-23T01:32:30.0820559Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:30.0820680Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:30.0820796Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:30.0820907Z                             auto tmp8 = static_cast<int>(21);
2022-11-23T01:32:30.0821022Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:30.0821129Z                             auto tmp10 = static_cast<int>(29);
2022-11-23T01:32:30.0821246Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:30.0821351Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:30.0821500Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:30.0821614Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:30.0821771Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:30.0821926Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:30.0822079Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:30.0822187Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:30.0822317Z                             auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:30.0822443Z                             auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:30.0822548Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:30.0822664Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:30.0822775Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:30.0822880Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:32:30.0822996Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:32:30.0823111Z                             auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:30.0823238Z                             auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:30.0823340Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:32:30.0823443Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:32:30.0823545Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:32:30.0823647Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:30.0823746Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:32:30.0823841Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:32:30.0823953Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:32:30.0824055Z                             auto tmp35 = tmp6 + tmp14;
2022-11-23T01:32:30.0824171Z                             auto tmp36 = std::min(tmp35, tmp15);
2022-11-23T01:32:30.0824296Z                             auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:30.0824420Z                             auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:30.0824522Z                             auto tmp39 = tmp37 == tmp0;
2022-11-23T01:32:30.0824624Z                             auto tmp40 = tmp35 < tmp9;
2022-11-23T01:32:30.0824718Z                             auto tmp41 = tmp13 < tmp11;
2022-11-23T01:32:30.0824819Z                             auto tmp42 = tmp40 & tmp41;
2022-11-23T01:32:30.0824918Z                             auto tmp43 = tmp42 & tmp39;
2022-11-23T01:32:30.0825018Z                             auto tmp44 = tmp34 + tmp38;
2022-11-23T01:32:30.0825130Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:32:30.0825257Z                             auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:30.0825383Z                             auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:30.0825484Z                             auto tmp48 = tmp46 == tmp0;
2022-11-23T01:32:30.0825580Z                             auto tmp49 = tmp40 & tmp30;
2022-11-23T01:32:30.0825678Z                             auto tmp50 = tmp49 & tmp48;
2022-11-23T01:32:30.0825780Z                             auto tmp51 = tmp45 + tmp47;
2022-11-23T01:32:30.0825889Z                             auto tmp52 = tmp50 ? tmp51 : tmp45;
2022-11-23T01:32:30.0826002Z                             out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52;
2022-11-23T01:32:30.0826075Z                         }
2022-11-23T01:32:30.0826147Z                     }
2022-11-23T01:32:30.0826210Z                 }
2022-11-23T01:32:30.0826278Z             }
2022-11-23T01:32:30.0826345Z         }
2022-11-23T01:32:30.0826412Z     }
2022-11-23T01:32:30.0826475Z }
2022-11-23T01:32:30.0826561Z ''')
2022-11-23T01:32:30.0826602Z 
2022-11-23T01:32:30.0826607Z 
2022-11-23T01:32:30.0826704Z async_compile.wait(globals())
2022-11-23T01:32:30.0826774Z del async_compile
2022-11-23T01:32:30.0826779Z 
2022-11-23T01:32:30.0826878Z def call(args):
2022-11-23T01:32:30.0826964Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.0827043Z     args.clear()
2022-11-23T01:32:30.0827266Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0827435Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0827508Z     del arg0_1
2022-11-23T01:32:30.0827573Z     del arg2_1
2022-11-23T01:32:30.0827649Z     return (buf0, )
2022-11-23T01:32:30.0827655Z 
2022-11-23T01:32:30.0827659Z 
2022-11-23T01:32:30.0827741Z if __name__ == "__main__":
2022-11-23T01:32:30.0827862Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0827991Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0828215Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0828436Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0828655Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0828777Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.0828790Z 
2022-11-23T01:32:30.0828855Z ok (1.664s)
2022-11-23T01:32:30.0829195Z   test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0829512Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0829738Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0829997Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0830342Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0830710Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0831090Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0831411Z [2022-11-23 01:25:31,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0831785Z [2022-11-23 01:25:31,269] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958> 
2022-11-23T01:32:30.0831880Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0832016Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:30.0832024Z 
2022-11-23T01:32:30.0832126Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0832222Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0832318Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.0832411Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.0832502Z               12 BUILD_LIST               2
2022-11-23T01:32:30.0832600Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0832685Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:30.0832777Z               18 BUILD_LIST               2
2022-11-23T01:32:30.0832872Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.0833013Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:30.0833108Z               24 BUILD_LIST               2
2022-11-23T01:32:30.0833200Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:30.0833293Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:30.0833403Z               30 BUILD_LIST               2
2022-11-23T01:32:30.0833504Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.0833596Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:30.0833601Z 
2022-11-23T01:32:30.0833692Z 3959          36 CALL_METHOD              8
2022-11-23T01:32:30.0833774Z               38 RETURN_VALUE
2022-11-23T01:32:30.0833839Z  
2022-11-23T01:32:30.0833844Z 
2022-11-23T01:32:30.0834160Z [2022-11-23 01:25:31,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:30.0834380Z [2022-11-23 01:25:31,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0834716Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0835034Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960
2022-11-23T01:32:30.0835326Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:30.0835644Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:30.0835985Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0836364Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0836773Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0837138Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0837536Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0837971Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0838357Z [2022-11-23 01:25:31,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0838778Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0839228Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0839660Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0840096Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0840596Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0841026Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0841520Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0841855Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:30.0842357Z [2022-11-23 01:25:31,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:30.0842608Z [2022-11-23 01:25:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0842980Z [2022-11-23 01:25:31,277] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958>
2022-11-23T01:32:30.0843227Z [2022-11-23 01:25:31,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0843462Z [2022-11-23 01:25:31,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0843718Z [2022-11-23 01:25:31,280] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0843970Z [2022-11-23 01:25:31,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0844164Z [2022-11-23 01:25:31,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0844307Z  __compiled_fn_160 <eval_with_key>.1007 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0844395Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0844488Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0844579Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.0844788Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:30.0844929Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:30.0844938Z 
2022-11-23T01:32:30.0845266Z [2022-11-23 01:25:31,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0845367Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0845468Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0845554Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0845653Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0845744Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0845839Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0845920Z              12 RETURN_VALUE
2022-11-23T01:32:30.0845926Z 
2022-11-23T01:32:30.0846020Z  
2022-11-23T01:32:30.0846351Z [2022-11-23 01:25:31,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0846483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_160)
2022-11-23T01:32:30.0846581Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0846678Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0846759Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0846855Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0846950Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0847033Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0847125Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0847211Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0847289Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.0847383Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.0847484Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0847564Z              24 RETURN_VALUE
2022-11-23T01:32:30.0847570Z 
2022-11-23T01:32:30.0847635Z  
2022-11-23T01:32:30.0847823Z [2022-11-23 01:25:31,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0847896Z  - 
2022-11-23T01:32:30.0848020Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0848090Z             {
2022-11-23T01:32:30.0848237Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0848425Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.0848547Z                 'obj_weakref': None
2022-11-23T01:32:30.0848771Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0848834Z             }
2022-11-23T01:32:30.0848902Z             
2022-11-23T01:32:30.0848977Z  - 
2022-11-23T01:32:30.0849104Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0849174Z             {
2022-11-23T01:32:30.0849324Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0849437Z                 'code': None,
2022-11-23T01:32:30.0849642Z                 'obj_weakref': <weakref at 0x7f201e37abb0; to 'Tensor' at 0x7f2022ee92b0>
2022-11-23T01:32:30.0849896Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0849964Z             }
2022-11-23T01:32:30.0850033Z             
2022-11-23T01:32:30.0850108Z  - 
2022-11-23T01:32:30.0850235Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0850304Z             {
2022-11-23T01:32:30.0850444Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0850555Z                 'code': None,
2022-11-23T01:32:30.0850762Z                 'obj_weakref': <weakref at 0x7f201e3c3790; to 'Tensor' at 0x7f201e20c130>
2022-11-23T01:32:30.0851009Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0851081Z             }
2022-11-23T01:32:30.0851150Z             
2022-11-23T01:32:30.0851225Z  - 
2022-11-23T01:32:30.0851344Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.0851423Z             {
2022-11-23T01:32:30.0851590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0851724Z                 'code': None,
2022-11-23T01:32:30.0851928Z                 'obj_weakref': <weakref at 0x7f201e3e6cf0; to 'Tensor' at 0x7f206070ef70>
2022-11-23T01:32:30.0852167Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0852238Z             }
2022-11-23T01:32:30.0852299Z             
2022-11-23T01:32:30.0852377Z  - 
2022-11-23T01:32:30.0852512Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0852580Z             {
2022-11-23T01:32:30.0852719Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0852925Z                 'code': ['___check_obj_id(model, 139780374073344)'],
2022-11-23T01:32:30.0853050Z                 'obj_weakref': None
2022-11-23T01:32:30.0853271Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0853360Z             }
2022-11-23T01:32:30.0853428Z             
2022-11-23T01:32:30.0853503Z  - 
2022-11-23T01:32:30.0853628Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0853697Z             {
2022-11-23T01:32:30.0853836Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0854047Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0854169Z                 'obj_weakref': None
2022-11-23T01:32:30.0854390Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0854459Z             }
2022-11-23T01:32:30.0854526Z             
2022-11-23T01:32:30.0854601Z  - 
2022-11-23T01:32:30.0854734Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0854798Z             {
2022-11-23T01:32:30.0854922Z                 'guard_types': None,
2022-11-23T01:32:30.0855033Z                 'code': None,
2022-11-23T01:32:30.0855154Z                 'obj_weakref': None
2022-11-23T01:32:30.0855284Z                 'guarded_class': None
2022-11-23T01:32:30.0855352Z             }
2022-11-23T01:32:30.0855412Z             
2022-11-23T01:32:30.0855672Z [2022-11-23 01:25:31,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153
2022-11-23T01:32:30.0856036Z [2022-11-23 01:25:32,884] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pd/cpdlsu25xftboura6khkts5we4gejuzrc6kpm5ogsosqahddxioj.py
2022-11-23T01:32:30.0856299Z [2022-11-23 01:25:32,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153
2022-11-23T01:32:30.0856304Z 
2022-11-23T01:32:30.0856403Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0856478Z import torch
2022-11-23T01:32:30.0856554Z import random
2022-11-23T01:32:30.0856678Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0856798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0856810Z 
2022-11-23T01:32:30.0856889Z aten = torch.ops.aten
2022-11-23T01:32:30.0857028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0857128Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0857133Z 
2022-11-23T01:32:30.0857208Z import triton
2022-11-23T01:32:30.0857303Z import triton.language as tl
2022-11-23T01:32:30.0857429Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0857571Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0857577Z 
2022-11-23T01:32:30.0857581Z 
2022-11-23T01:32:30.0857719Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0857922Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0858049Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0858161Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0858269Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0858336Z {
2022-11-23T01:32:30.0858437Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0858505Z     {
2022-11-23T01:32:30.0858580Z         #pragma omp for 
2022-11-23T01:32:30.0858668Z         for(long i0=0; i0<8192; i0+=1)
2022-11-23T01:32:30.0858737Z         {
2022-11-23T01:32:30.0859008Z             #pragma GCC ivdep
2022-11-23T01:32:30.0859100Z             for(long i1=0; i1<37; i1+=1)
2022-11-23T01:32:30.0859168Z             {
2022-11-23T01:32:30.0859248Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0859344Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:32:30.0859413Z                 {
2022-11-23T01:32:30.0859486Z                     {
2022-11-23T01:32:30.0859559Z                         {
2022-11-23T01:32:30.0859723Z                             auto tmp0 = static_cast<int>(i2 + (38*i1));
2022-11-23T01:32:30.0859845Z                             auto tmp1 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:32:30.0859969Z                             auto tmp2 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:32:30.0860112Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:30.0860231Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:30.0860344Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:30.0860463Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:30.0860582Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:30.0860696Z                             auto tmp8 = static_cast<int>(19);
2022-11-23T01:32:30.0860809Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:30.0860926Z                             auto tmp10 = std::min(tmp4, tmp8);
2022-11-23T01:32:30.0861026Z                             auto tmp11 = tmp6 + tmp5;
2022-11-23T01:32:30.0861127Z                             auto tmp12 = tmp7 + tmp5;
2022-11-23T01:32:30.0861236Z                             auto tmp13 = static_cast<int>(1);
2022-11-23T01:32:30.0861396Z                             auto tmp14 = tmp9 - tmp13;
2022-11-23T01:32:30.0861519Z                             auto tmp15 = std::min(tmp11, tmp14);
2022-11-23T01:32:30.0861672Z                             auto tmp16 = tmp10 - tmp13;
2022-11-23T01:32:30.0861784Z                             auto tmp17 = std::min(tmp12, tmp16);
2022-11-23T01:32:30.0861906Z                             auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:32:30.0862036Z                             auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:32:30.0862143Z                             auto tmp20 = tmp18 == tmp0;
2022-11-23T01:32:30.0862259Z                             auto tmp21 = static_cast<float>(0.0);
2022-11-23T01:32:30.0862372Z                             auto tmp22 = tmp20 ? tmp19 : tmp21;
2022-11-23T01:32:30.0862487Z                             out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22;
2022-11-23T01:32:30.0862561Z                         }
2022-11-23T01:32:30.0862637Z                     }
2022-11-23T01:32:30.0862699Z                 }
2022-11-23T01:32:30.0862766Z             }
2022-11-23T01:32:30.0862833Z         }
2022-11-23T01:32:30.0862898Z     }
2022-11-23T01:32:30.0862962Z }
2022-11-23T01:32:30.0863046Z ''')
2022-11-23T01:32:30.0863052Z 
2022-11-23T01:32:30.0863056Z 
2022-11-23T01:32:30.0863151Z async_compile.wait(globals())
2022-11-23T01:32:30.0863221Z del async_compile
2022-11-23T01:32:30.0863226Z 
2022-11-23T01:32:30.0863303Z def call(args):
2022-11-23T01:32:30.0863390Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.0863464Z     args.clear()
2022-11-23T01:32:30.0863694Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0863861Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0863936Z     del arg0_1
2022-11-23T01:32:30.0864001Z     del arg2_1
2022-11-23T01:32:30.0864077Z     return (buf0, )
2022-11-23T01:32:30.0864084Z 
2022-11-23T01:32:30.0864089Z 
2022-11-23T01:32:30.0864169Z if __name__ == "__main__":
2022-11-23T01:32:30.0864289Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0864418Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0864650Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0864881Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0865104Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0865225Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.0865242Z 
2022-11-23T01:32:30.0865308Z ok (1.854s)
2022-11-23T01:32:30.0865683Z   test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:25:33,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0866030Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0866253Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0866512Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0866792Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0867115Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0867464Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0867787Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0868165Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983> 
2022-11-23T01:32:30.0868260Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0868396Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:30.0868401Z 
2022-11-23T01:32:30.0868497Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0868593Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0868689Z                8 LOAD_CONST               1 (5)
2022-11-23T01:32:30.0868784Z               10 LOAD_CONST               1 (5)
2022-11-23T01:32:30.0868878Z               12 BUILD_LIST               2
2022-11-23T01:32:30.0868965Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0869061Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0869154Z               18 BUILD_LIST               2
2022-11-23T01:32:30.0869245Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0869338Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0869428Z               24 BUILD_LIST               2
2022-11-23T01:32:30.0869519Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0869611Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0869698Z               30 BUILD_LIST               2
2022-11-23T01:32:30.0869795Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.0869888Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:30.0869893Z 
2022-11-23T01:32:30.0869988Z 3984          36 CALL_METHOD              8
2022-11-23T01:32:30.0870067Z               38 RETURN_VALUE
2022-11-23T01:32:30.0870132Z  
2022-11-23T01:32:30.0870137Z 
2022-11-23T01:32:30.0870564Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:30.0870790Z [2022-11-23 01:25:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0871132Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0871446Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985
2022-11-23T01:32:30.0871741Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:30.0872093Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:30.0872461Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0872838Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0873247Z [2022-11-23 01:25:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0873617Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0874013Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0874441Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0874824Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0875248Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0875701Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0876111Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0876550Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0877018Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0877457Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0877925Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0878233Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:30.0878772Z [2022-11-23 01:25:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:30.0879042Z [2022-11-23 01:25:33,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0879413Z [2022-11-23 01:25:33,022] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983>
2022-11-23T01:32:30.0879660Z [2022-11-23 01:25:33,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0879893Z [2022-11-23 01:25:33,022] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0880150Z [2022-11-23 01:25:33,023] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0880406Z [2022-11-23 01:25:33,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0880600Z [2022-11-23 01:25:33,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0880734Z  __compiled_fn_161 <eval_with_key>.1013 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0880833Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0880926Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0881016Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.0881219Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:30.0881357Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:30.0881362Z 
2022-11-23T01:32:30.0881689Z [2022-11-23 01:25:33,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0881793Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0881914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0882007Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0882123Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0882218Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0882312Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0882393Z              12 RETURN_VALUE
2022-11-23T01:32:30.0882398Z 
2022-11-23T01:32:30.0882465Z  
2022-11-23T01:32:30.0882795Z [2022-11-23 01:25:33,026] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0882905Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_161)
2022-11-23T01:32:30.0883001Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0883097Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0883179Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0883278Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0883373Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0883454Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0883543Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0883636Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0883718Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.0883812Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.0883907Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0883987Z              24 RETURN_VALUE
2022-11-23T01:32:30.0883993Z 
2022-11-23T01:32:30.0884059Z  
2022-11-23T01:32:30.0884247Z [2022-11-23 01:25:33,027] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0884316Z  - 
2022-11-23T01:32:30.0884441Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0884511Z             {
2022-11-23T01:32:30.0884656Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0884879Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.0885006Z                 'obj_weakref': None
2022-11-23T01:32:30.0885233Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0885320Z             }
2022-11-23T01:32:30.0885389Z             
2022-11-23T01:32:30.0885469Z  - 
2022-11-23T01:32:30.0885598Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0885666Z             {
2022-11-23T01:32:30.0885814Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0885920Z                 'code': None,
2022-11-23T01:32:30.0886133Z                 'obj_weakref': <weakref at 0x7f201e386fc0; to 'Tensor' at 0x7f2022f79120>
2022-11-23T01:32:30.0886386Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0886455Z             }
2022-11-23T01:32:30.0886524Z             
2022-11-23T01:32:30.0886598Z  - 
2022-11-23T01:32:30.0886728Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0886796Z             {
2022-11-23T01:32:30.0886935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0887046Z                 'code': None,
2022-11-23T01:32:30.0887258Z                 'obj_weakref': <weakref at 0x7f201e3c2f70; to 'Tensor' at 0x7f206070ed40>
2022-11-23T01:32:30.0887506Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0887575Z             }
2022-11-23T01:32:30.0887643Z             
2022-11-23T01:32:30.0887718Z  - 
2022-11-23T01:32:30.0887837Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.0887905Z             {
2022-11-23T01:32:30.0888051Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0888161Z                 'code': None,
2022-11-23T01:32:30.0888367Z                 'obj_weakref': <weakref at 0x7f201e3c0ea0; to 'Tensor' at 0x7f206070ef70>
2022-11-23T01:32:30.0888613Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0888680Z             }
2022-11-23T01:32:30.0888741Z             
2022-11-23T01:32:30.0888820Z  - 
2022-11-23T01:32:30.0888956Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0889024Z             {
2022-11-23T01:32:30.0889164Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0889339Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.0889462Z                 'obj_weakref': None
2022-11-23T01:32:30.0889685Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0889755Z             }
2022-11-23T01:32:30.0889822Z             
2022-11-23T01:32:30.0889900Z  - 
2022-11-23T01:32:30.0890027Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0890095Z             {
2022-11-23T01:32:30.0890229Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0890457Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0890583Z                 'obj_weakref': None
2022-11-23T01:32:30.0890808Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0890880Z             }
2022-11-23T01:32:30.0890951Z             
2022-11-23T01:32:30.0891026Z  - 
2022-11-23T01:32:30.0891163Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0891224Z             {
2022-11-23T01:32:30.0891364Z                 'guard_types': None,
2022-11-23T01:32:30.0891486Z                 'code': None,
2022-11-23T01:32:30.0891632Z                 'obj_weakref': None
2022-11-23T01:32:30.0891756Z                 'guarded_class': None
2022-11-23T01:32:30.0891825Z             }
2022-11-23T01:32:30.0891885Z             
2022-11-23T01:32:30.0892151Z [2022-11-23 01:25:33,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154
2022-11-23T01:32:30.0892188Z 
2022-11-23T01:32:30.0892289Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0892363Z import torch
2022-11-23T01:32:30.0892442Z import random
2022-11-23T01:32:30.0892563Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0892756Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0892761Z 
2022-11-23T01:32:30.0892848Z aten = torch.ops.aten
2022-11-23T01:32:30.0892981Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0893078Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0893083Z 
2022-11-23T01:32:30.0893157Z import triton
2022-11-23T01:32:30.0893250Z import triton.language as tl
2022-11-23T01:32:30.0893376Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0893516Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0893522Z 
2022-11-23T01:32:30.0893526Z 
2022-11-23T01:32:30.0893666Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0893877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0893996Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0894111Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0894219Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0894286Z {
2022-11-23T01:32:30.0894389Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0894454Z     {
2022-11-23T01:32:30.0894536Z         #pragma omp for 
2022-11-23T01:32:30.0894617Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:30.0894685Z         {
2022-11-23T01:32:30.0894770Z             #pragma GCC ivdep
2022-11-23T01:32:30.0894858Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.0894926Z             {
2022-11-23T01:32:30.0895013Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0895108Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:30.0895171Z                 {
2022-11-23T01:32:30.0895246Z                     {
2022-11-23T01:32:30.0895315Z                         {
2022-11-23T01:32:30.0895435Z                             auto tmp0 = static_cast<int>(i2 + (4*i1));
2022-11-23T01:32:30.0895615Z                             auto tmp1 = static_cast<int>((-2) + i1);
2022-11-23T01:32:30.0895784Z                             auto tmp2 = static_cast<int>((-2) + i2);
2022-11-23T01:32:30.0895901Z                             auto tmp3 = static_cast<int>(3 + i1);
2022-11-23T01:32:30.0896008Z                             auto tmp4 = static_cast<int>(3 + i2);
2022-11-23T01:32:30.0896120Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:30.0896238Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:30.0896352Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:30.0896463Z                             auto tmp8 = static_cast<int>(3);
2022-11-23T01:32:30.0896575Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:30.0896687Z                             auto tmp10 = static_cast<int>(4);
2022-11-23T01:32:30.0896804Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:30.0896904Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:30.0897009Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:30.0897119Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:30.0897275Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:30.0897395Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:30.0897548Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:30.0897663Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:30.0897789Z                             auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0897908Z                             auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0898043Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:30.0898162Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:30.0898274Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:30.0898447Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:32:30.0898563Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:32:30.0898685Z                             auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0899014Z                             auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0899120Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:32:30.0899222Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:32:30.0899327Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:32:30.0899429Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:30.0899530Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:32:30.0899631Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:32:30.0899744Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:32:30.0899854Z                             auto tmp35 = static_cast<int>(2);
2022-11-23T01:32:30.0899956Z                             auto tmp36 = tmp7 + tmp35;
2022-11-23T01:32:30.0900071Z                             auto tmp37 = std::min(tmp36, tmp17);
2022-11-23T01:32:30.0900193Z                             auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0900318Z                             auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0900419Z                             auto tmp40 = tmp38 == tmp0;
2022-11-23T01:32:30.0900519Z                             auto tmp41 = tmp36 < tmp11;
2022-11-23T01:32:30.0900620Z                             auto tmp42 = tmp29 & tmp41;
2022-11-23T01:32:30.0900717Z                             auto tmp43 = tmp42 & tmp40;
2022-11-23T01:32:30.0900816Z                             auto tmp44 = tmp34 + tmp39;
2022-11-23T01:32:30.0900928Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:32:30.0901034Z                             auto tmp46 = tmp7 + tmp8;
2022-11-23T01:32:30.0901151Z                             auto tmp47 = std::min(tmp46, tmp17);
2022-11-23T01:32:30.0901271Z                             auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0901392Z                             auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0901485Z                             auto tmp50 = tmp48 == tmp0;
2022-11-23T01:32:30.0901587Z                             auto tmp51 = tmp46 < tmp11;
2022-11-23T01:32:30.0901687Z                             auto tmp52 = tmp29 & tmp51;
2022-11-23T01:32:30.0901787Z                             auto tmp53 = tmp52 & tmp50;
2022-11-23T01:32:30.0901887Z                             auto tmp54 = tmp45 + tmp49;
2022-11-23T01:32:30.0902002Z                             auto tmp55 = tmp53 ? tmp54 : tmp45;
2022-11-23T01:32:30.0902104Z                             auto tmp56 = tmp7 + tmp10;
2022-11-23T01:32:30.0902219Z                             auto tmp57 = std::min(tmp56, tmp17);
2022-11-23T01:32:30.0902332Z                             auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0902454Z                             auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:30.0902554Z                             auto tmp60 = tmp58 == tmp0;
2022-11-23T01:32:30.0902655Z                             auto tmp61 = tmp56 < tmp11;
2022-11-23T01:32:30.0902754Z                             auto tmp62 = tmp29 & tmp61;
2022-11-23T01:32:30.0902853Z                             auto tmp63 = tmp62 & tmp60;
2022-11-23T01:32:30.0902951Z                             auto tmp64 = tmp55 + tmp59;
2022-11-23T01:32:30.0903054Z                             auto tmp65 = tmp63 ? tmp64 : tmp55;
2022-11-23T01:32:30.0903203Z                             auto tmp66 = tmp6 + tmp14;
2022-11-23T01:32:30.0903322Z                             auto tmp67 = std::min(tmp66, tmp15);
2022-11-23T01:32:30.0903443Z                             auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0903591Z                             auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0903693Z                             auto tmp70 = tmp68 == tmp0;
2022-11-23T01:32:30.0903794Z                             auto tmp71 = tmp66 < tmp9;
2022-11-23T01:32:30.0903895Z                             auto tmp72 = tmp13 < tmp11;
2022-11-23T01:32:30.0903987Z                             auto tmp73 = tmp71 & tmp72;
2022-11-23T01:32:30.0904087Z                             auto tmp74 = tmp73 & tmp70;
2022-11-23T01:32:30.0904185Z                             auto tmp75 = tmp65 + tmp69;
2022-11-23T01:32:30.0904296Z                             auto tmp76 = tmp74 ? tmp75 : tmp65;
2022-11-23T01:32:30.0904424Z                             auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0904547Z                             auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0904646Z                             auto tmp79 = tmp77 == tmp0;
2022-11-23T01:32:30.0904753Z                             auto tmp80 = tmp71 & tmp30;
2022-11-23T01:32:30.0904844Z                             auto tmp81 = tmp80 & tmp79;
2022-11-23T01:32:30.0904945Z                             auto tmp82 = tmp76 + tmp78;
2022-11-23T01:32:30.0905055Z                             auto tmp83 = tmp81 ? tmp82 : tmp76;
2022-11-23T01:32:30.0905175Z                             auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0905295Z                             auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0905395Z                             auto tmp86 = tmp84 == tmp0;
2022-11-23T01:32:30.0905494Z                             auto tmp87 = tmp71 & tmp41;
2022-11-23T01:32:30.0905589Z                             auto tmp88 = tmp87 & tmp86;
2022-11-23T01:32:30.0905688Z                             auto tmp89 = tmp83 + tmp85;
2022-11-23T01:32:30.0905796Z                             auto tmp90 = tmp88 ? tmp89 : tmp83;
2022-11-23T01:32:30.0905920Z                             auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0906039Z                             auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0906139Z                             auto tmp93 = tmp91 == tmp0;
2022-11-23T01:32:30.0906240Z                             auto tmp94 = tmp71 & tmp51;
2022-11-23T01:32:30.0906338Z                             auto tmp95 = tmp94 & tmp93;
2022-11-23T01:32:30.0906429Z                             auto tmp96 = tmp90 + tmp92;
2022-11-23T01:32:30.0906538Z                             auto tmp97 = tmp95 ? tmp96 : tmp90;
2022-11-23T01:32:30.0906657Z                             auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0906779Z                             auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:30.0906885Z                             auto tmp100 = tmp98 == tmp0;
2022-11-23T01:32:30.0906991Z                             auto tmp101 = tmp71 & tmp61;
2022-11-23T01:32:30.0907104Z                             auto tmp102 = tmp101 & tmp100;
2022-11-23T01:32:30.0907209Z                             auto tmp103 = tmp97 + tmp99;
2022-11-23T01:32:30.0907315Z                             auto tmp104 = tmp102 ? tmp103 : tmp97;
2022-11-23T01:32:30.0907416Z                             auto tmp105 = tmp6 + tmp35;
2022-11-23T01:32:30.0907535Z                             auto tmp106 = std::min(tmp105, tmp15);
2022-11-23T01:32:30.0907662Z                             auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0907787Z                             auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0907893Z                             auto tmp109 = tmp107 == tmp0;
2022-11-23T01:32:30.0908023Z                             auto tmp110 = tmp105 < tmp9;
2022-11-23T01:32:30.0908122Z                             auto tmp111 = tmp110 & tmp72;
2022-11-23T01:32:30.0908230Z                             auto tmp112 = tmp111 & tmp109;
2022-11-23T01:32:30.0908361Z                             auto tmp113 = tmp104 + tmp108;
2022-11-23T01:32:30.0908474Z                             auto tmp114 = tmp112 ? tmp113 : tmp104;
2022-11-23T01:32:30.0908596Z                             auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0908719Z                             auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0908826Z                             auto tmp117 = tmp115 == tmp0;
2022-11-23T01:32:30.0908931Z                             auto tmp118 = tmp110 & tmp30;
2022-11-23T01:32:30.0909031Z                             auto tmp119 = tmp118 & tmp117;
2022-11-23T01:32:30.0909135Z                             auto tmp120 = tmp114 + tmp116;
2022-11-23T01:32:30.0909252Z                             auto tmp121 = tmp119 ? tmp120 : tmp114;
2022-11-23T01:32:30.0909374Z                             auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0909498Z                             auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0909606Z                             auto tmp124 = tmp122 == tmp0;
2022-11-23T01:32:30.0909711Z                             auto tmp125 = tmp110 & tmp41;
2022-11-23T01:32:30.0909815Z                             auto tmp126 = tmp125 & tmp124;
2022-11-23T01:32:30.0909912Z                             auto tmp127 = tmp121 + tmp123;
2022-11-23T01:32:30.0910024Z                             auto tmp128 = tmp126 ? tmp127 : tmp121;
2022-11-23T01:32:30.0910146Z                             auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0910343Z                             auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0910466Z                             auto tmp131 = tmp129 == tmp0;
2022-11-23T01:32:30.0910587Z                             auto tmp132 = tmp110 & tmp51;
2022-11-23T01:32:30.0910694Z                             auto tmp133 = tmp132 & tmp131;
2022-11-23T01:32:30.0910797Z                             auto tmp134 = tmp128 + tmp130;
2022-11-23T01:32:30.0910914Z                             auto tmp135 = tmp133 ? tmp134 : tmp128;
2022-11-23T01:32:30.0911036Z                             auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0911158Z                             auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:30.0911262Z                             auto tmp138 = tmp136 == tmp0;
2022-11-23T01:32:30.0911364Z                             auto tmp139 = tmp110 & tmp61;
2022-11-23T01:32:30.0911469Z                             auto tmp140 = tmp139 & tmp138;
2022-11-23T01:32:30.0911573Z                             auto tmp141 = tmp135 + tmp137;
2022-11-23T01:32:30.0911681Z                             auto tmp142 = tmp140 ? tmp141 : tmp135;
2022-11-23T01:32:30.0911783Z                             auto tmp143 = tmp6 + tmp8;
2022-11-23T01:32:30.0911904Z                             auto tmp144 = std::min(tmp143, tmp15);
2022-11-23T01:32:30.0912027Z                             auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0912148Z                             auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0912251Z                             auto tmp147 = tmp145 == tmp0;
2022-11-23T01:32:30.0912355Z                             auto tmp148 = tmp143 < tmp9;
2022-11-23T01:32:30.0912461Z                             auto tmp149 = tmp148 & tmp72;
2022-11-23T01:32:30.0912559Z                             auto tmp150 = tmp149 & tmp147;
2022-11-23T01:32:30.0912663Z                             auto tmp151 = tmp142 + tmp146;
2022-11-23T01:32:30.0912775Z                             auto tmp152 = tmp150 ? tmp151 : tmp142;
2022-11-23T01:32:30.0912924Z                             auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0913049Z                             auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0913151Z                             auto tmp155 = tmp153 == tmp0;
2022-11-23T01:32:30.0913274Z                             auto tmp156 = tmp148 & tmp30;
2022-11-23T01:32:30.0913380Z                             auto tmp157 = tmp156 & tmp155;
2022-11-23T01:32:30.0913477Z                             auto tmp158 = tmp152 + tmp154;
2022-11-23T01:32:30.0913591Z                             auto tmp159 = tmp157 ? tmp158 : tmp152;
2022-11-23T01:32:30.0913712Z                             auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0913833Z                             auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0913938Z                             auto tmp162 = tmp160 == tmp0;
2022-11-23T01:32:30.0914041Z                             auto tmp163 = tmp148 & tmp41;
2022-11-23T01:32:30.0914149Z                             auto tmp164 = tmp163 & tmp162;
2022-11-23T01:32:30.0914246Z                             auto tmp165 = tmp159 + tmp161;
2022-11-23T01:32:30.0914359Z                             auto tmp166 = tmp164 ? tmp165 : tmp159;
2022-11-23T01:32:30.0914483Z                             auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0914606Z                             auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0914711Z                             auto tmp169 = tmp167 == tmp0;
2022-11-23T01:32:30.0914817Z                             auto tmp170 = tmp148 & tmp51;
2022-11-23T01:32:30.0914923Z                             auto tmp171 = tmp170 & tmp169;
2022-11-23T01:32:30.0915027Z                             auto tmp172 = tmp166 + tmp168;
2022-11-23T01:32:30.0915133Z                             auto tmp173 = tmp171 ? tmp172 : tmp166;
2022-11-23T01:32:30.0915253Z                             auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0915379Z                             auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:30.0915484Z                             auto tmp176 = tmp174 == tmp0;
2022-11-23T01:32:30.0915589Z                             auto tmp177 = tmp148 & tmp61;
2022-11-23T01:32:30.0915692Z                             auto tmp178 = tmp177 & tmp176;
2022-11-23T01:32:30.0915795Z                             auto tmp179 = tmp173 + tmp175;
2022-11-23T01:32:30.0915906Z                             auto tmp180 = tmp178 ? tmp179 : tmp173;
2022-11-23T01:32:30.0916001Z                             auto tmp181 = tmp6 + tmp10;
2022-11-23T01:32:30.0916119Z                             auto tmp182 = std::min(tmp181, tmp15);
2022-11-23T01:32:30.0916240Z                             auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0916360Z                             auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0916466Z                             auto tmp185 = tmp183 == tmp0;
2022-11-23T01:32:30.0916571Z                             auto tmp186 = tmp181 < tmp9;
2022-11-23T01:32:30.0916676Z                             auto tmp187 = tmp186 & tmp72;
2022-11-23T01:32:30.0916776Z                             auto tmp188 = tmp187 & tmp185;
2022-11-23T01:32:30.0916880Z                             auto tmp189 = tmp180 + tmp184;
2022-11-23T01:32:30.0916993Z                             auto tmp190 = tmp188 ? tmp189 : tmp180;
2022-11-23T01:32:30.0917113Z                             auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0917231Z                             auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0917332Z                             auto tmp193 = tmp191 == tmp0;
2022-11-23T01:32:30.0917434Z                             auto tmp194 = tmp186 & tmp30;
2022-11-23T01:32:30.0917539Z                             auto tmp195 = tmp194 & tmp193;
2022-11-23T01:32:30.0917636Z                             auto tmp196 = tmp190 + tmp192;
2022-11-23T01:32:30.0917782Z                             auto tmp197 = tmp195 ? tmp196 : tmp190;
2022-11-23T01:32:30.0917903Z                             auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0918047Z                             auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0918151Z                             auto tmp200 = tmp198 == tmp0;
2022-11-23T01:32:30.0918254Z                             auto tmp201 = tmp186 & tmp41;
2022-11-23T01:32:30.0918357Z                             auto tmp202 = tmp201 & tmp200;
2022-11-23T01:32:30.0918464Z                             auto tmp203 = tmp197 + tmp199;
2022-11-23T01:32:30.0918569Z                             auto tmp204 = tmp202 ? tmp203 : tmp197;
2022-11-23T01:32:30.0918690Z                             auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0918812Z                             auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0918918Z                             auto tmp207 = tmp205 == tmp0;
2022-11-23T01:32:30.0919021Z                             auto tmp208 = tmp186 & tmp51;
2022-11-23T01:32:30.0919123Z                             auto tmp209 = tmp208 & tmp207;
2022-11-23T01:32:30.0919229Z                             auto tmp210 = tmp204 + tmp206;
2022-11-23T01:32:30.0919334Z                             auto tmp211 = tmp209 ? tmp210 : tmp204;
2022-11-23T01:32:30.0919454Z                             auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0919575Z                             auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:30.0919679Z                             auto tmp214 = tmp212 == tmp0;
2022-11-23T01:32:30.0919783Z                             auto tmp215 = tmp186 & tmp61;
2022-11-23T01:32:30.0919890Z                             auto tmp216 = tmp215 & tmp214;
2022-11-23T01:32:30.0919994Z                             auto tmp217 = tmp211 + tmp213;
2022-11-23T01:32:30.0920111Z                             auto tmp218 = tmp216 ? tmp217 : tmp211;
2022-11-23T01:32:30.0920217Z                             out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218;
2022-11-23T01:32:30.0920292Z                         }
2022-11-23T01:32:30.0920366Z                     }
2022-11-23T01:32:30.0920437Z                 }
2022-11-23T01:32:30.0920505Z             }
2022-11-23T01:32:30.0920572Z         }
2022-11-23T01:32:30.0920638Z     }
2022-11-23T01:32:30.0920696Z }
2022-11-23T01:32:30.0920791Z ''')
2022-11-23T01:32:30.0920798Z 
2022-11-23T01:32:30.0920802Z 
2022-11-23T01:32:30.0920897Z async_compile.wait(globals())
2022-11-23T01:32:30.0920974Z del async_compile
2022-11-23T01:32:30.0920979Z 
2022-11-23T01:32:30.0921054Z def call(args):
2022-11-23T01:32:30.0921141Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.0921218Z     args.clear()
2022-11-23T01:32:30.0921455Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0921653Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0921726Z     del arg0_1
2022-11-23T01:32:30.0921797Z     del arg2_1
2022-11-23T01:32:30.0921876Z     return (buf0, )
2022-11-23T01:32:30.0921885Z 
2022-11-23T01:32:30.0921889Z 
2022-11-23T01:32:30.0921971Z if __name__ == "__main__":
2022-11-23T01:32:30.0922091Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0922220Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0922431Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0922647Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0922862Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0922993Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.0923382Z [2022-11-23 01:25:34,852] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuyum5l5kgoo2qqtehgnlmxo423jt6iz6hq5pumeu3rgaabxihoo.py
2022-11-23T01:32:30.0923652Z [2022-11-23 01:25:34,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154
2022-11-23T01:32:30.0923680Z 
2022-11-23T01:32:30.0923752Z ok (1.851s)
2022-11-23T01:32:30.0924095Z   test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0924409Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0924622Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0924874Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0925154Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0925469Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0925812Z [2022-11-23 01:25:34,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0926131Z [2022-11-23 01:25:34,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0926497Z [2022-11-23 01:25:34,860] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010> 
2022-11-23T01:32:30.0926598Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0926734Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:30.0926740Z 
2022-11-23T01:32:30.0926836Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0926925Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0927027Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:30.0927122Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:30.0927216Z               12 BUILD_LIST               2
2022-11-23T01:32:30.0927312Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0927408Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0927499Z               18 BUILD_LIST               2
2022-11-23T01:32:30.0927586Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0927680Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0927771Z               24 BUILD_LIST               2
2022-11-23T01:32:30.0927864Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0927960Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0928053Z               30 BUILD_LIST               2
2022-11-23T01:32:30.0928151Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.0928249Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:30.0928254Z 
2022-11-23T01:32:30.0928339Z 4011          36 CALL_METHOD              8
2022-11-23T01:32:30.0928424Z               38 RETURN_VALUE
2022-11-23T01:32:30.0928490Z  
2022-11-23T01:32:30.0928495Z 
2022-11-23T01:32:30.0928812Z [2022-11-23 01:25:34,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:30.0929029Z [2022-11-23 01:25:34,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0929373Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0929712Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012
2022-11-23T01:32:30.0930004Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:30.0930342Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:30.0930681Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0931057Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0931469Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0931885Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0932285Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0932716Z [2022-11-23 01:25:34,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0933105Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0933522Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0933974Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0934378Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0934817Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0935295Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0935736Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0936199Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0936530Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:30.0937051Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:30.0937301Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0937670Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010>
2022-11-23T01:32:30.0937907Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0938145Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0938400Z [2022-11-23 01:25:34,869] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0938649Z [2022-11-23 01:25:34,872] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0939026Z [2022-11-23 01:25:34,872] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0939172Z  __compiled_fn_162 <eval_with_key>.1019 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0939267Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0939361Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0939444Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.0939651Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:30.0939793Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:30.0939799Z 
2022-11-23T01:32:30.0940122Z [2022-11-23 01:25:34,873] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0940228Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0940327Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0940423Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0940522Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0940613Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0940701Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0940782Z              12 RETURN_VALUE
2022-11-23T01:32:30.0940787Z 
2022-11-23T01:32:30.0940852Z  
2022-11-23T01:32:30.0941174Z [2022-11-23 01:25:34,873] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0941292Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_162)
2022-11-23T01:32:30.0941388Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0941485Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0941562Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0941655Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0941748Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0941830Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0941926Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0942019Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0942098Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.0942186Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.0942282Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0942363Z              24 RETURN_VALUE
2022-11-23T01:32:30.0942368Z 
2022-11-23T01:32:30.0942432Z  
2022-11-23T01:32:30.0942666Z [2022-11-23 01:25:34,873] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0942744Z  - 
2022-11-23T01:32:30.0942869Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0942931Z             {
2022-11-23T01:32:30.0943108Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0943298Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.0943420Z                 'obj_weakref': None
2022-11-23T01:32:30.0943648Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0943718Z             }
2022-11-23T01:32:30.0943786Z             
2022-11-23T01:32:30.0943854Z  - 
2022-11-23T01:32:30.0943982Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0944050Z             {
2022-11-23T01:32:30.0944199Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0944310Z                 'code': None,
2022-11-23T01:32:30.0944525Z                 'obj_weakref': <weakref at 0x7f2060789c10; to 'Tensor' at 0x7f201e3c18a0>
2022-11-23T01:32:30.0944774Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0944847Z             }
2022-11-23T01:32:30.0944908Z             
2022-11-23T01:32:30.0944983Z  - 
2022-11-23T01:32:30.0945109Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0945177Z             {
2022-11-23T01:32:30.0945322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0945432Z                 'code': None,
2022-11-23T01:32:30.0945630Z                 'obj_weakref': <weakref at 0x7f21276d4220; to 'Tensor' at 0x7f2022f79120>
2022-11-23T01:32:30.0945872Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0945941Z             }
2022-11-23T01:32:30.0946010Z             
2022-11-23T01:32:30.0946085Z  - 
2022-11-23T01:32:30.0946210Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.0946282Z             {
2022-11-23T01:32:30.0946418Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0946529Z                 'code': None,
2022-11-23T01:32:30.0946732Z                 'obj_weakref': <weakref at 0x7f2068297f10; to 'Tensor' at 0x7f201e3c3650>
2022-11-23T01:32:30.0946974Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0947043Z             }
2022-11-23T01:32:30.0947111Z             
2022-11-23T01:32:30.0947185Z  - 
2022-11-23T01:32:30.0947319Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0947381Z             {
2022-11-23T01:32:30.0947519Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0947692Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.0947814Z                 'obj_weakref': None
2022-11-23T01:32:30.0948041Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0948113Z             }
2022-11-23T01:32:30.0948182Z             
2022-11-23T01:32:30.0948250Z  - 
2022-11-23T01:32:30.0948375Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0948444Z             {
2022-11-23T01:32:30.0948587Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0948806Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0948928Z                 'obj_weakref': None
2022-11-23T01:32:30.0949154Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0949216Z             }
2022-11-23T01:32:30.0949284Z             
2022-11-23T01:32:30.0949360Z  - 
2022-11-23T01:32:30.0949495Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0949564Z             {
2022-11-23T01:32:30.0949690Z                 'guard_types': None,
2022-11-23T01:32:30.0949794Z                 'code': None,
2022-11-23T01:32:30.0949949Z                 'obj_weakref': None
2022-11-23T01:32:30.0950075Z                 'guarded_class': None
2022-11-23T01:32:30.0950143Z             }
2022-11-23T01:32:30.0950211Z             
2022-11-23T01:32:30.0950586Z [2022-11-23 01:25:34,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155
2022-11-23T01:32:30.0950876Z [2022-11-23 01:25:34,881] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T01:32:30.0951241Z [2022-11-23 01:25:34,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/is/cisfwbiuftxepfshbsniopdk3vexsxf4r27pihxep4jxsqwb44yc.py
2022-11-23T01:32:30.0951497Z [2022-11-23 01:25:34,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155
2022-11-23T01:32:30.0951513Z 
2022-11-23T01:32:30.0951605Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0951679Z import torch
2022-11-23T01:32:30.0951753Z import random
2022-11-23T01:32:30.0951879Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0952005Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0952011Z 
2022-11-23T01:32:30.0952093Z aten = torch.ops.aten
2022-11-23T01:32:30.0952232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0952325Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0952331Z 
2022-11-23T01:32:30.0952408Z import triton
2022-11-23T01:32:30.0952501Z import triton.language as tl
2022-11-23T01:32:30.0952627Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0952769Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0952774Z 
2022-11-23T01:32:30.0952779Z 
2022-11-23T01:32:30.0952876Z async_compile.wait(globals())
2022-11-23T01:32:30.0952953Z del async_compile
2022-11-23T01:32:30.0952958Z 
2022-11-23T01:32:30.0953032Z def call(args):
2022-11-23T01:32:30.0953113Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.0953190Z     args.clear()
2022-11-23T01:32:30.0953354Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T01:32:30.0953432Z     del arg0_1
2022-11-23T01:32:30.0953504Z     del arg1_1
2022-11-23T01:32:30.0953579Z     del arg2_1
2022-11-23T01:32:30.0953650Z     buf1 = buf0
2022-11-23T01:32:30.0953759Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T01:32:30.0953829Z     del buf0
2022-11-23T01:32:30.0953905Z     return (buf1, )
2022-11-23T01:32:30.0953911Z 
2022-11-23T01:32:30.0953915Z 
2022-11-23T01:32:30.0953996Z if __name__ == "__main__":
2022-11-23T01:32:30.0954114Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0954241Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0954465Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0954690Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0954901Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0955032Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.0955040Z 
2022-11-23T01:32:30.0955112Z ok (0.031s)
2022-11-23T01:32:30.0955450Z   test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0955764Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0955982Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0956235Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0956539Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0956857Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0957211Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0963931Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.0964325Z [2022-11-23 01:25:34,889] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907> 
2022-11-23T01:32:30.0964428Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.0964563Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:30.0964573Z 
2022-11-23T01:32:30.0964672Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.0964770Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.0964867Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.0964965Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:30.0965052Z               12 BUILD_LIST               2
2022-11-23T01:32:30.0965146Z               14 LOAD_CONST               1 (2)
2022-11-23T01:32:30.0965239Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:30.0965334Z               18 BUILD_LIST               2
2022-11-23T01:32:30.0965426Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:30.0965519Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:30.0965613Z               24 BUILD_LIST               2
2022-11-23T01:32:30.0965699Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0965791Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:30.0965887Z               30 BUILD_LIST               2
2022-11-23T01:32:30.0965988Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.0966079Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:30.0966088Z 
2022-11-23T01:32:30.0966180Z 3908          36 CALL_METHOD              8
2022-11-23T01:32:30.0966262Z               38 RETURN_VALUE
2022-11-23T01:32:30.0966322Z  
2022-11-23T01:32:30.0966327Z 
2022-11-23T01:32:30.0966644Z [2022-11-23 01:25:34,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:30.0966865Z [2022-11-23 01:25:34,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.0967209Z [2022-11-23 01:25:34,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.0967522Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909
2022-11-23T01:32:30.0967814Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:30.0968133Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:30.0968473Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.0968852Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0969333Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0969699Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.0970121Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0970551Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0970932Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0971350Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0971806Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0972264Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0972703Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.0973179Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.0973619Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.0974085Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.0974396Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:30.0974898Z [2022-11-23 01:25:34,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:30.0975147Z [2022-11-23 01:25:34,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0975520Z [2022-11-23 01:25:34,898] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907>
2022-11-23T01:32:30.0975767Z [2022-11-23 01:25:34,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.0976028Z [2022-11-23 01:25:34,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.0976285Z [2022-11-23 01:25:34,899] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.0976552Z [2022-11-23 01:25:34,901] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.0976749Z [2022-11-23 01:25:34,902] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.0976892Z  __compiled_fn_163 <eval_with_key>.1025 opcode, name, target, args, kwargs
2022-11-23T01:32:30.0976988Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.0977083Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.0977172Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.0977379Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:30.0977519Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:30.0977527Z 
2022-11-23T01:32:30.0977852Z [2022-11-23 01:25:34,902] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0977950Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.0978048Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0978142Z               4 BUILD_MAP                0
2022-11-23T01:32:30.0978240Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.0978332Z               8 DICT_MERGE               1
2022-11-23T01:32:30.0978428Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.0978510Z              12 RETURN_VALUE
2022-11-23T01:32:30.0978516Z 
2022-11-23T01:32:30.0978575Z  
2022-11-23T01:32:30.0979110Z [2022-11-23 01:25:34,902] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.0979231Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_163)
2022-11-23T01:32:30.0979328Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0979425Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.0979512Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.0979608Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0979704Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.0979779Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.0979873Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.0979968Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.0980051Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.0980146Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.0980242Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.0980323Z              24 RETURN_VALUE
2022-11-23T01:32:30.0980329Z 
2022-11-23T01:32:30.0980388Z  
2022-11-23T01:32:30.0980581Z [2022-11-23 01:25:34,903] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.0980661Z  - 
2022-11-23T01:32:30.0980786Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.0980856Z             {
2022-11-23T01:32:30.0981002Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.0981195Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.0981312Z                 'obj_weakref': None
2022-11-23T01:32:30.0981537Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.0981607Z             }
2022-11-23T01:32:30.0981677Z             
2022-11-23T01:32:30.0981754Z  - 
2022-11-23T01:32:30.0981883Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.0981952Z             {
2022-11-23T01:32:30.0982093Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0982206Z                 'code': None,
2022-11-23T01:32:30.0982422Z                 'obj_weakref': <weakref at 0x7f201e3d5b70; to 'Tensor' at 0x7f2115bedf80>
2022-11-23T01:32:30.0982732Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0982804Z             }
2022-11-23T01:32:30.0982874Z             
2022-11-23T01:32:30.0982978Z  - 
2022-11-23T01:32:30.0983100Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.0983169Z             {
2022-11-23T01:32:30.0983317Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0983431Z                 'code': None,
2022-11-23T01:32:30.0983639Z                 'obj_weakref': <weakref at 0x7f20230d6430; to 'Tensor' at 0x7f2115e04950>
2022-11-23T01:32:30.0983884Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0983954Z             }
2022-11-23T01:32:30.0984015Z             
2022-11-23T01:32:30.0984091Z  - 
2022-11-23T01:32:30.0984217Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.0984288Z             {
2022-11-23T01:32:30.0984437Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.0984550Z                 'code': None,
2022-11-23T01:32:30.0984760Z                 'obj_weakref': <weakref at 0x7f201e20d3f0; to 'Tensor' at 0x7f2022ee9030>
2022-11-23T01:32:30.0984998Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.0985068Z             }
2022-11-23T01:32:30.0985141Z             
2022-11-23T01:32:30.0985217Z  - 
2022-11-23T01:32:30.0985354Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.0985422Z             {
2022-11-23T01:32:30.0985561Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.0985729Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.0985855Z                 'obj_weakref': None
2022-11-23T01:32:30.0986086Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.0986156Z             }
2022-11-23T01:32:30.0986231Z             
2022-11-23T01:32:30.0986307Z  - 
2022-11-23T01:32:30.0986433Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.0986495Z             {
2022-11-23T01:32:30.0986636Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.0986864Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.0986988Z                 'obj_weakref': None
2022-11-23T01:32:30.0987214Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.0987283Z             }
2022-11-23T01:32:30.0987352Z             
2022-11-23T01:32:30.0987420Z  - 
2022-11-23T01:32:30.0987557Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.0987626Z             {
2022-11-23T01:32:30.0987752Z                 'guard_types': None,
2022-11-23T01:32:30.0987864Z                 'code': None,
2022-11-23T01:32:30.0987989Z                 'obj_weakref': None
2022-11-23T01:32:30.0988119Z                 'guarded_class': None
2022-11-23T01:32:30.0988181Z             }
2022-11-23T01:32:30.0988249Z             
2022-11-23T01:32:30.0988520Z [2022-11-23 01:25:34,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156
2022-11-23T01:32:30.0988879Z [2022-11-23 01:25:36,493] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccn6stc3tcjf354wkc56ifgxey7ds6tfdeuzpsmb36qu56ntefff.py
2022-11-23T01:32:30.0989145Z [2022-11-23 01:25:36,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156
2022-11-23T01:32:30.0989151Z 
2022-11-23T01:32:30.0989251Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.0989327Z import torch
2022-11-23T01:32:30.0989404Z import random
2022-11-23T01:32:30.0989519Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.0989645Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.0989651Z 
2022-11-23T01:32:30.0989736Z aten = torch.ops.aten
2022-11-23T01:32:30.0989907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.0990008Z async_compile = AsyncCompile()
2022-11-23T01:32:30.0990014Z 
2022-11-23T01:32:30.0990089Z import triton
2022-11-23T01:32:30.0990205Z import triton.language as tl
2022-11-23T01:32:30.0990404Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.0990570Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.0990576Z 
2022-11-23T01:32:30.0990581Z 
2022-11-23T01:32:30.0990722Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.0990936Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.0991062Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.0991175Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.0991282Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.0991349Z {
2022-11-23T01:32:30.0991447Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.0991514Z     {
2022-11-23T01:32:30.0991596Z         #pragma omp for 
2022-11-23T01:32:30.0991687Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.0991758Z         {
2022-11-23T01:32:30.0991848Z             #pragma GCC ivdep
2022-11-23T01:32:30.0991939Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:32:30.0992004Z             {
2022-11-23T01:32:30.0992094Z                 #pragma GCC ivdep
2022-11-23T01:32:30.0992190Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:32:30.0992261Z                 {
2022-11-23T01:32:30.0992338Z                     {
2022-11-23T01:32:30.0992412Z                         {
2022-11-23T01:32:30.0992528Z                             auto tmp0 = static_cast<int>(i2 + (14*i1));
2022-11-23T01:32:30.0992646Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:32:30.0992760Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:32:30.0992880Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:30.0993001Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:30.0993115Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:30.0993246Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:30.0993361Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:30.0993468Z                             auto tmp8 = static_cast<int>(9);
2022-11-23T01:32:30.0993586Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:30.0993698Z                             auto tmp10 = static_cast<int>(7);
2022-11-23T01:32:30.0993817Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:30.0993921Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:30.0994023Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:30.0994136Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:30.0994290Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:30.0994401Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:30.0994558Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:30.0994677Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:30.0994806Z                             auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:32:30.0994931Z                             auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:32:30.0995037Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:30.0995155Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:30.0995267Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:30.0995376Z                             out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23;
2022-11-23T01:32:30.0995449Z                         }
2022-11-23T01:32:30.0995597Z                     }
2022-11-23T01:32:30.0995669Z                 }
2022-11-23T01:32:30.0995737Z             }
2022-11-23T01:32:30.0995805Z         }
2022-11-23T01:32:30.0995872Z     }
2022-11-23T01:32:30.0995956Z }
2022-11-23T01:32:30.0996044Z ''')
2022-11-23T01:32:30.0996050Z 
2022-11-23T01:32:30.0996054Z 
2022-11-23T01:32:30.0996151Z async_compile.wait(globals())
2022-11-23T01:32:30.0996229Z del async_compile
2022-11-23T01:32:30.0996234Z 
2022-11-23T01:32:30.0996310Z def call(args):
2022-11-23T01:32:30.0996401Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.0996478Z     args.clear()
2022-11-23T01:32:30.0996693Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0996866Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.0996939Z     del arg0_1
2022-11-23T01:32:30.0997012Z     del arg2_1
2022-11-23T01:32:30.0997087Z     return (buf0, )
2022-11-23T01:32:30.0997095Z 
2022-11-23T01:32:30.0997100Z 
2022-11-23T01:32:30.0997181Z if __name__ == "__main__":
2022-11-23T01:32:30.0997303Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.0997436Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.0997644Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0997863Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.0998073Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.0998203Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.0998209Z 
2022-11-23T01:32:30.0998280Z ok (1.610s)
2022-11-23T01:32:30.0998578Z   test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:25:36,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.0998896Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.0999119Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.0999380Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.0999650Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.0999968Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1000316Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1000641Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1001015Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177> 
2022-11-23T01:32:30.1001122Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1001223Z                2 LOAD_METHOD              0 (mean)
2022-11-23T01:32:30.1001320Z                4 CALL_METHOD              0
2022-11-23T01:32:30.1001325Z 
2022-11-23T01:32:30.1001423Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1001540Z                8 LOAD_METHOD              0 (mean)
2022-11-23T01:32:30.1001702Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.1001805Z               12 CALL_METHOD              1
2022-11-23T01:32:30.1001810Z 
2022-11-23T01:32:30.1001913Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.1002041Z               16 LOAD_ATTR                0 (mean)
2022-11-23T01:32:30.1002140Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1002283Z               20 LOAD_CONST               2 (-2)
2022-11-23T01:32:30.1002407Z               22 LOAD_CONST               3 (True)
2022-11-23T01:32:30.1002560Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:30.1002660Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.1002665Z 
2022-11-23T01:32:30.1002758Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1002856Z               30 LOAD_METHOD              0 (mean)
2022-11-23T01:32:30.1002952Z               32 LOAD_CONST               5 (0)
2022-11-23T01:32:30.1003048Z               34 LOAD_CONST               6 (1)
2022-11-23T01:32:30.1003143Z               36 BUILD_LIST               2
2022-11-23T01:32:30.1003228Z               38 CALL_METHOD              1
2022-11-23T01:32:30.1003241Z 
2022-11-23T01:32:30.1003328Z 2178          40 BUILD_TUPLE              4
2022-11-23T01:32:30.1003414Z               42 RETURN_VALUE
2022-11-23T01:32:30.1003481Z  
2022-11-23T01:32:30.1003486Z 
2022-11-23T01:32:30.1003804Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179
2022-11-23T01:32:30.1004024Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1004272Z [2022-11-23 01:25:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T01:32:30.1004556Z [2022-11-23 01:25:36,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:30.1004871Z [2022-11-23 01:25:36,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180
2022-11-23T01:32:30.1005106Z [2022-11-23 01:25:36,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.1005379Z [2022-11-23 01:25:36,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1005686Z [2022-11-23 01:25:36,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:30.1006029Z [2022-11-23 01:25:36,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:30.1006339Z [2022-11-23 01:25:36,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181
2022-11-23T01:32:30.1006620Z [2022-11-23 01:25:36,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1007042Z [2022-11-23 01:25:36,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1007420Z [2022-11-23 01:25:36,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1007823Z [2022-11-23 01:25:36,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1008258Z [2022-11-23 01:25:36,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1008763Z [2022-11-23 01:25:36,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.1009275Z [2022-11-23 01:25:36,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.1009612Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182
2022-11-23T01:32:30.1009905Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1010223Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1010581Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:30.1010968Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:30.1011392Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1011766Z [2022-11-23 01:25:36,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T01:32:30.1012126Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178
2022-11-23T01:32:30.1012456Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1012710Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1013092Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177>
2022-11-23T01:32:30.1013340Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1013578Z [2022-11-23 01:25:36,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1013836Z [2022-11-23 01:25:36,506] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1014085Z [2022-11-23 01:25:36,509] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1014279Z [2022-11-23 01:25:36,509] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1014425Z  __compiled_fn_164 <eval_with_key>.1031 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1014522Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1014619Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T01:32:30.1014763Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T01:32:30.1015022Z call_function, mean_2, <built-in method mean of type object at 0x7f209c394c60>, (ex_0_, -2), {'keepdim': True}
2022-11-23T01:32:30.1015131Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T01:32:30.1015252Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T01:32:30.1015258Z 
2022-11-23T01:32:30.1015584Z [2022-11-23 01:25:36,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1015726Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1015825Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1015921Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1016046Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1016139Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1016235Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1016311Z              12 RETURN_VALUE
2022-11-23T01:32:30.1016316Z 
2022-11-23T01:32:30.1016383Z  
2022-11-23T01:32:30.1016716Z [2022-11-23 01:25:36,510] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1016831Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_164)
2022-11-23T01:32:30.1016929Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1017027Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1017115Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1017203Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1017316Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1017431Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1017528Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1017612Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1017722Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1017818Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1017892Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1017999Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1018094Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1018174Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1018282Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1018378Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1018459Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1018557Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.1018632Z              38 RETURN_VALUE
2022-11-23T01:32:30.1018640Z 
2022-11-23T01:32:30.1018708Z  
2022-11-23T01:32:30.1019193Z [2022-11-23 01:25:36,510] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1019273Z  - 
2022-11-23T01:32:30.1019400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1019471Z             {
2022-11-23T01:32:30.1019618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1019804Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1019929Z                 'obj_weakref': None
2022-11-23T01:32:30.1020157Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1020231Z             }
2022-11-23T01:32:30.1020299Z             
2022-11-23T01:32:30.1020376Z  - 
2022-11-23T01:32:30.1020510Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1020572Z             {
2022-11-23T01:32:30.1020721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1020836Z                 'code': None,
2022-11-23T01:32:30.1021048Z                 'obj_weakref': <weakref at 0x7f2068174720; to 'Tensor' at 0x7f2115e04950>
2022-11-23T01:32:30.1021302Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1021377Z             }
2022-11-23T01:32:30.1021463Z             
2022-11-23T01:32:30.1021534Z  - 
2022-11-23T01:32:30.1021694Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1021763Z             {
2022-11-23T01:32:30.1021905Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1022080Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.1022205Z                 'obj_weakref': None
2022-11-23T01:32:30.1022489Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1022554Z             }
2022-11-23T01:32:30.1022624Z             
2022-11-23T01:32:30.1022702Z  - 
2022-11-23T01:32:30.1022856Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1022926Z             {
2022-11-23T01:32:30.1023067Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1023290Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1023408Z                 'obj_weakref': None
2022-11-23T01:32:30.1023633Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1023702Z             }
2022-11-23T01:32:30.1023771Z             
2022-11-23T01:32:30.1023848Z  - 
2022-11-23T01:32:30.1023986Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1024059Z             {
2022-11-23T01:32:30.1024179Z                 'guard_types': None,
2022-11-23T01:32:30.1024295Z                 'code': None,
2022-11-23T01:32:30.1024421Z                 'obj_weakref': None
2022-11-23T01:32:30.1024546Z                 'guarded_class': None
2022-11-23T01:32:30.1024615Z             }
2022-11-23T01:32:30.1024690Z             
2022-11-23T01:32:30.1024946Z [2022-11-23 01:25:36,516] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157
2022-11-23T01:32:30.1025310Z [2022-11-23 01:25:38,147] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7orwgyikyuteoh3akq5246oozn6osfxejbvctj4rifdzpajogq.py
2022-11-23T01:32:30.1025576Z [2022-11-23 01:25:38,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157
2022-11-23T01:32:30.1025582Z 
2022-11-23T01:32:30.1025681Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1025755Z import torch
2022-11-23T01:32:30.1025829Z import random
2022-11-23T01:32:30.1025950Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1026080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1026085Z 
2022-11-23T01:32:30.1026168Z aten = torch.ops.aten
2022-11-23T01:32:30.1026302Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1026403Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1026408Z 
2022-11-23T01:32:30.1026482Z import triton
2022-11-23T01:32:30.1026575Z import triton.language as tl
2022-11-23T01:32:30.1026703Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1026848Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1026853Z 
2022-11-23T01:32:30.1026858Z 
2022-11-23T01:32:30.1026995Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1027204Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1027322Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.1027431Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.1027548Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1027655Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.1027759Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.1027829Z {
2022-11-23T01:32:30.1027923Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.1028006Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:30.1028074Z     {
2022-11-23T01:32:30.1028269Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.1028351Z         float tmp1 = 0;
2022-11-23T01:32:30.1028476Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.1028584Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1028651Z         {
2022-11-23T01:32:30.1028759Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:32:30.1028852Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1028922Z             {
2022-11-23T01:32:30.1029098Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1029188Z                 tmp1_vec += tmp0;
2022-11-23T01:32:30.1029260Z             }
2022-11-23T01:32:30.1029485Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.1029615Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T01:32:30.1029701Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1029770Z             {
2022-11-23T01:32:30.1029865Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1029946Z                 tmp1 += tmp0;
2022-11-23T01:32:30.1030015Z             }
2022-11-23T01:32:30.1030084Z         }
2022-11-23T01:32:30.1030167Z         out_ptr0[0] = tmp1;
2022-11-23T01:32:30.1030227Z     }
2022-11-23T01:32:30.1030414Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1030496Z     {
2022-11-23T01:32:30.1030594Z         #pragma omp for 
2022-11-23T01:32:30.1030692Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1030762Z         {
2022-11-23T01:32:30.1030823Z             {
2022-11-23T01:32:30.1031021Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.1031110Z                 float tmp1 = 0;
2022-11-23T01:32:30.1031239Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.1031336Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.1031410Z                 {
2022-11-23T01:32:30.1031561Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.1031651Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.1031718Z                 }
2022-11-23T01:32:30.1031919Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.1032050Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.1032147Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.1032219Z                 {
2022-11-23T01:32:30.1032326Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.1032416Z                     tmp1 += tmp0;
2022-11-23T01:32:30.1032489Z                 }
2022-11-23T01:32:30.1032570Z                 out_ptr1[i0] = tmp1;
2022-11-23T01:32:30.1032643Z             }
2022-11-23T01:32:30.1032712Z         }
2022-11-23T01:32:30.1032798Z         #pragma omp single
2022-11-23T01:32:30.1032868Z         {
2022-11-23T01:32:30.1032936Z             {
2022-11-23T01:32:30.1032999Z                 {
2022-11-23T01:32:30.1033097Z                     auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.1033209Z                     auto tmp1 = static_cast<float>(64);
2022-11-23T01:32:30.1033307Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.1033403Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:32:30.1033475Z                 }
2022-11-23T01:32:30.1033544Z             }
2022-11-23T01:32:30.1033605Z         }
2022-11-23T01:32:30.1033688Z         #pragma omp for 
2022-11-23T01:32:30.1033775Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.1033846Z         {
2022-11-23T01:32:30.1033990Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.1034132Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.1034223Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.1034318Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T01:32:30.1034385Z         }
2022-11-23T01:32:30.1034487Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1034575Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.1034647Z         {
2022-11-23T01:32:30.1034740Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.1034844Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:30.1034961Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.1035051Z             in_out_ptr1[i0] = tmp2;
2022-11-23T01:32:30.1035119Z         }
2022-11-23T01:32:30.1035204Z         #pragma omp for 
2022-11-23T01:32:30.1035292Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.1035384Z         {
2022-11-23T01:32:30.1035473Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.1035535Z             {
2022-11-23T01:32:30.1035684Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.1035836Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T01:32:30.1035985Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T01:32:30.1036135Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T01:32:30.1036229Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1036320Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1036415Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1036551Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:30.1036642Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:30.1036759Z                 tmp8.store(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:32:30.1036828Z             }
2022-11-23T01:32:30.1036924Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.1037012Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.1037080Z             {
2022-11-23T01:32:30.1037175Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.1037281Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:32:30.1037386Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:32:30.1037490Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:32:30.1037585Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1037678Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1037770Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1037871Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T01:32:30.1037963Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:30.1038064Z                 out_ptr2[i1 + (8*i0)] = tmp8;
2022-11-23T01:32:30.1038132Z             }
2022-11-23T01:32:30.1038198Z         }
2022-11-23T01:32:30.1038280Z         #pragma omp for 
2022-11-23T01:32:30.1038369Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.1038431Z         {
2022-11-23T01:32:30.1038575Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1038719Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i0));
2022-11-23T01:32:30.1038810Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1038948Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.1039039Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:30.1039138Z             tmp4.store(out_ptr3 + 8*i0);
2022-11-23T01:32:30.1039206Z         }
2022-11-23T01:32:30.1039299Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1039388Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.1039460Z         {
2022-11-23T01:32:30.1039549Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1039644Z             auto tmp1 = in_ptr0[32 + i0];
2022-11-23T01:32:30.1039734Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1039839Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.1039922Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:30.1040007Z             out_ptr3[i0] = tmp4;
2022-11-23T01:32:30.1040076Z         }
2022-11-23T01:32:30.1040143Z     }
2022-11-23T01:32:30.1040209Z }
2022-11-23T01:32:30.1040301Z ''')
2022-11-23T01:32:30.1040306Z 
2022-11-23T01:32:30.1040311Z 
2022-11-23T01:32:30.1040407Z async_compile.wait(globals())
2022-11-23T01:32:30.1040477Z del async_compile
2022-11-23T01:32:30.1040483Z 
2022-11-23T01:32:30.1040589Z def call(args):
2022-11-23T01:32:30.1040665Z     arg0_1, = args
2022-11-23T01:32:30.1040741Z     args.clear()
2022-11-23T01:32:30.1040931Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1041158Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1041250Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.1041333Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:30.1041558Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1041785Z     buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1042008Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.1042082Z     del arg0_1
2022-11-23T01:32:30.1042177Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T01:32:30.1042182Z 
2022-11-23T01:32:30.1042187Z 
2022-11-23T01:32:30.1042271Z if __name__ == "__main__":
2022-11-23T01:32:30.1042393Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1042515Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1042730Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1042846Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1042851Z 
2022-11-23T01:32:30.1042921Z ok (1.654s)
2022-11-23T01:32:30.1043240Z   test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:25:38,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1043558Z [2022-11-23 01:25:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1043778Z [2022-11-23 01:25:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1044036Z [2022-11-23 01:25:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1044315Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1044627Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1044966Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1045284Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1045648Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851> 
2022-11-23T01:32:30.1045754Z  852           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1045851Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.1045931Z               4 BINARY_ADD
2022-11-23T01:32:30.1046035Z               6 LOAD_METHOD              0 (max)
2022-11-23T01:32:30.1046128Z               8 CALL_METHOD              0
2022-11-23T01:32:30.1046218Z              10 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1046312Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:30.1046391Z              14 BINARY_ADD
2022-11-23T01:32:30.1046489Z              16 LOAD_METHOD              1 (min)
2022-11-23T01:32:30.1046584Z              18 CALL_METHOD              0
2022-11-23T01:32:30.1046684Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.1046780Z              22 LOAD_ATTR                3 (amax)
2022-11-23T01:32:30.1046869Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1046962Z              26 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1047072Z              28 BINARY_ADD
2022-11-23T01:32:30.1047173Z              30 LOAD_CONST               2 (True)
2022-11-23T01:32:30.1047332Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:30.1047451Z              34 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.1047547Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.1047622Z              38 RETURN_VALUE
2022-11-23T01:32:30.1047689Z  
2022-11-23T01:32:30.1047695Z 
2022-11-23T01:32:30.1048008Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852
2022-11-23T01:32:30.1048220Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.1048457Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.1048734Z [2022-11-23 01:25:38,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1048976Z [2022-11-23 01:25:38,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:30.1049258Z [2022-11-23 01:25:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.1049496Z [2022-11-23 01:25:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.1049751Z [2022-11-23 01:25:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1050053Z [2022-11-23 01:25:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1050322Z [2022-11-23 01:25:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1050630Z [2022-11-23 01:25:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.1050905Z [2022-11-23 01:25:38,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1051329Z [2022-11-23 01:25:38,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1051740Z [2022-11-23 01:25:38,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1052150Z [2022-11-23 01:25:38,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1052601Z [2022-11-23 01:25:38,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1053010Z [2022-11-23 01:25:38,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1053463Z [2022-11-23 01:25:38,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.1053940Z [2022-11-23 01:25:38,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.1054259Z [2022-11-23 01:25:38,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1054511Z [2022-11-23 01:25:38,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1054896Z [2022-11-23 01:25:38,159] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851>
2022-11-23T01:32:30.1055142Z [2022-11-23 01:25:38,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1055381Z [2022-11-23 01:25:38,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1055641Z [2022-11-23 01:25:38,161] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1055896Z [2022-11-23 01:25:38,165] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1056091Z [2022-11-23 01:25:38,165] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1056232Z  __compiled_fn_165 <eval_with_key>.1037 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1056331Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1056424Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.1056600Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.1056696Z call_method, max_1, max, (add,), {}
2022-11-23T01:32:30.1056881Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.1056978Z call_method, min_1, min, (add_1,), {}
2022-11-23T01:32:30.1057156Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.1057406Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add_2,), {'keepdim': True}
2022-11-23T01:32:30.1057523Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T01:32:30.1057531Z 
2022-11-23T01:32:30.1057859Z [2022-11-23 01:25:38,165] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1057956Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1058053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1058147Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1058246Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1058339Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1058434Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1058517Z              12 RETURN_VALUE
2022-11-23T01:32:30.1058523Z 
2022-11-23T01:32:30.1058582Z  
2022-11-23T01:32:30.1059113Z [2022-11-23 01:25:38,165] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1059236Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_165)
2022-11-23T01:32:30.1059334Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1059431Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1059518Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1059616Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1059711Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1059785Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.1059880Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.1059991Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1060101Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1060199Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1060283Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1060391Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1060479Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1060622Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1060735Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1060829Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1060939Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1061032Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.1061114Z              38 RETURN_VALUE
2022-11-23T01:32:30.1061119Z 
2022-11-23T01:32:30.1061178Z  
2022-11-23T01:32:30.1061369Z [2022-11-23 01:25:38,166] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1061446Z  - 
2022-11-23T01:32:30.1061570Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1061639Z             {
2022-11-23T01:32:30.1061785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1062005Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.1062145Z                 'obj_weakref': None
2022-11-23T01:32:30.1062372Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1062442Z             }
2022-11-23T01:32:30.1062511Z             
2022-11-23T01:32:30.1062586Z  - 
2022-11-23T01:32:30.1062715Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1062788Z             {
2022-11-23T01:32:30.1062928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1063039Z                 'code': None,
2022-11-23T01:32:30.1063249Z                 'obj_weakref': <weakref at 0x7f207272a2a0; to 'Tensor' at 0x7f21159c02c0>
2022-11-23T01:32:30.1063499Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1063570Z             }
2022-11-23T01:32:30.1063638Z             
2022-11-23T01:32:30.1063714Z  - 
2022-11-23T01:32:30.1063835Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.1063905Z             {
2022-11-23T01:32:30.1064052Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1064167Z                 'code': None,
2022-11-23T01:32:30.1064379Z                 'obj_weakref': <weakref at 0x7f2151ecee30; to 'Tensor' at 0x7f201e385210>
2022-11-23T01:32:30.1064624Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1064698Z             }
2022-11-23T01:32:30.1064760Z             
2022-11-23T01:32:30.1064835Z  - 
2022-11-23T01:32:30.1064974Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1065042Z             {
2022-11-23T01:32:30.1065182Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1065357Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.1065482Z                 'obj_weakref': None
2022-11-23T01:32:30.1065705Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1065775Z             }
2022-11-23T01:32:30.1065843Z             
2022-11-23T01:32:30.1065918Z  - 
2022-11-23T01:32:30.1066048Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1066117Z             {
2022-11-23T01:32:30.1066259Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1066475Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1066602Z                 'obj_weakref': None
2022-11-23T01:32:30.1066827Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1066896Z             }
2022-11-23T01:32:30.1066964Z             
2022-11-23T01:32:30.1067042Z  - 
2022-11-23T01:32:30.1067179Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1067241Z             {
2022-11-23T01:32:30.1067369Z                 'guard_types': None,
2022-11-23T01:32:30.1067483Z                 'code': None,
2022-11-23T01:32:30.1067609Z                 'obj_weakref': None
2022-11-23T01:32:30.1067738Z                 'guarded_class': None
2022-11-23T01:32:30.1067806Z             }
2022-11-23T01:32:30.1067908Z             
2022-11-23T01:32:30.1068167Z [2022-11-23 01:25:38,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158
2022-11-23T01:32:30.1068563Z [2022-11-23 01:25:39,747] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu7qojjdncexkg3cjxnmszngvfy42hfnepbeebzfgu72umgcysro.py
2022-11-23T01:32:30.1068833Z [2022-11-23 01:25:39,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158
2022-11-23T01:32:30.1068839Z 
2022-11-23T01:32:30.1068945Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1069021Z import torch
2022-11-23T01:32:30.1069098Z import random
2022-11-23T01:32:30.1069222Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1069349Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1069354Z 
2022-11-23T01:32:30.1069430Z aten = torch.ops.aten
2022-11-23T01:32:30.1069570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1069672Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1069677Z 
2022-11-23T01:32:30.1069754Z import triton
2022-11-23T01:32:30.1069848Z import triton.language as tl
2022-11-23T01:32:30.1069978Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1070121Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1070126Z 
2022-11-23T01:32:30.1070131Z 
2022-11-23T01:32:30.1070340Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1070561Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1070704Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1070828Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.1070937Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1071040Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.1071145Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.1071211Z {
2022-11-23T01:32:30.1071272Z     {
2022-11-23T01:32:30.1071647Z         #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.1071876Z         float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1072002Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.1072250Z         #pragma omp declare reduction(min:at::vec::Vectorized<float>:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.1072379Z         float tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1072503Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.1072702Z         float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1072828Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.1072936Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1072998Z         {
2022-11-23T01:32:30.1073170Z             #pragma omp for reduction(max:tmp3_vec) reduction(min:tmp4_vec) reduction(max:tmp7_vec) 
2022-11-23T01:32:30.1073264Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1073337Z             {
2022-11-23T01:32:30.1073480Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1073623Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.1073720Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1073859Z                 auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1073946Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:30.1074071Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:32:30.1074195Z                 tmp4_vec = at::vec::minimum(tmp4_vec, tmp2);
2022-11-23T01:32:30.1074351Z                 tmp7_vec = at::vec::maximum(tmp7_vec, tmp6);
2022-11-23T01:32:30.1074423Z             }
2022-11-23T01:32:30.1074639Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:32:30.1074878Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::minimum(x, y);}, tmp4_vec);
2022-11-23T01:32:30.1075092Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T01:32:30.1075267Z             #pragma omp for simd simdlen(4) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 
2022-11-23T01:32:30.1075354Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1075424Z             {
2022-11-23T01:32:30.1075516Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1075611Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.1075704Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1075811Z                 auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:30.1075904Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:30.1076000Z                 tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:30.1076100Z                 tmp4 = std::min(tmp4, tmp2);
2022-11-23T01:32:30.1076196Z                 tmp7 = std::max(tmp7, tmp6);
2022-11-23T01:32:30.1076267Z             }
2022-11-23T01:32:30.1076336Z         }
2022-11-23T01:32:30.1076419Z         out_ptr0[0] = tmp3;
2022-11-23T01:32:30.1076499Z         out_ptr1[0] = tmp4;
2022-11-23T01:32:30.1076572Z         out_ptr2[0] = tmp7;
2022-11-23T01:32:30.1076639Z     }
2022-11-23T01:32:30.1076703Z }
2022-11-23T01:32:30.1076791Z ''')
2022-11-23T01:32:30.1076796Z 
2022-11-23T01:32:30.1076801Z 
2022-11-23T01:32:30.1076897Z async_compile.wait(globals())
2022-11-23T01:32:30.1076975Z del async_compile
2022-11-23T01:32:30.1076983Z 
2022-11-23T01:32:30.1077061Z def call(args):
2022-11-23T01:32:30.1077134Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.1077211Z     args.clear()
2022-11-23T01:32:30.1077403Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1077594Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1077793Z     buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1078011Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.1078085Z     del arg0_1
2022-11-23T01:32:30.1078158Z     del arg1_1
2022-11-23T01:32:30.1078239Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.1078244Z 
2022-11-23T01:32:30.1078259Z 
2022-11-23T01:32:30.1078334Z if __name__ == "__main__":
2022-11-23T01:32:30.1078454Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1078587Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1078787Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1078988Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1079114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.1079119Z 
2022-11-23T01:32:30.1079190Z ok (1.600s)
2022-11-23T01:32:30.1079518Z   test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1079836Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1080063Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1080353Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1080638Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1080959Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1081331Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1081654Z [2022-11-23 01:25:39,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1082059Z [2022-11-23 01:25:39,754] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452> 
2022-11-23T01:32:30.1082185Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1082282Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.1082381Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.1082483Z                6 LOAD_ATTR                3 (gather)
2022-11-23T01:32:30.1082585Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:30.1082590Z 
2022-11-23T01:32:30.1082699Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T01:32:30.1082795Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1082911Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T01:32:30.1082917Z 
2022-11-23T01:32:30.1083012Z 4453          16 CALL_METHOD              3
2022-11-23T01:32:30.1083118Z               18 STORE_FAST               2 (gather_default)
2022-11-23T01:32:30.1083131Z 
2022-11-23T01:32:30.1083233Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T01:32:30.1083314Z               22 RETURN_VALUE
2022-11-23T01:32:30.1083383Z  
2022-11-23T01:32:30.1083388Z 
2022-11-23T01:32:30.1083707Z [2022-11-23 01:25:39,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:30.1083935Z [2022-11-23 01:25:39,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1084300Z [2022-11-23 01:25:39,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1084600Z [2022-11-23 01:25:39,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.1084909Z [2022-11-23 01:25:39,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1085179Z [2022-11-23 01:25:39,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:32:30.1085485Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454
2022-11-23T01:32:30.1085777Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T01:32:30.1086078Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:32:30.1086436Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1086751Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:30.1087146Z [2022-11-23 01:25:39,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.1087411Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T01:32:30.1087747Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456
2022-11-23T01:32:30.1087988Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T01:32:30.1088241Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1088625Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452>
2022-11-23T01:32:30.1088868Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1089101Z [2022-11-23 01:25:39,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1089357Z [2022-11-23 01:25:39,763] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1089607Z [2022-11-23 01:25:39,766] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1089800Z [2022-11-23 01:25:39,766] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1089941Z  __compiled_fn_166 <eval_with_key>.1043 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1090037Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1090129Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.1090273Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:30.1090391Z output, output, output, ((gather_default,),), {}
2022-11-23T01:32:30.1090396Z 
2022-11-23T01:32:30.1090722Z [2022-11-23 01:25:39,766] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1090826Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1090924Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1091020Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1091120Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1091212Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1091301Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1091382Z              12 RETURN_VALUE
2022-11-23T01:32:30.1091387Z 
2022-11-23T01:32:30.1091452Z  
2022-11-23T01:32:30.1091826Z [2022-11-23 01:25:39,766] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1091949Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_166)
2022-11-23T01:32:30.1092047Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1092144Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1092226Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1092319Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1092414Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1092496Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.1092591Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.1092688Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1092768Z              18 RETURN_VALUE
2022-11-23T01:32:30.1092773Z 
2022-11-23T01:32:30.1092839Z  
2022-11-23T01:32:30.1093018Z [2022-11-23 01:25:39,767] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1093095Z  - 
2022-11-23T01:32:30.1093219Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1093288Z             {
2022-11-23T01:32:30.1093432Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1093649Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.1093774Z                 'obj_weakref': None
2022-11-23T01:32:30.1093993Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1094144Z             }
2022-11-23T01:32:30.1094213Z             
2022-11-23T01:32:30.1094291Z  - 
2022-11-23T01:32:30.1094420Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1094490Z             {
2022-11-23T01:32:30.1094637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1094742Z                 'code': None,
2022-11-23T01:32:30.1094953Z                 'obj_weakref': <weakref at 0x7f201e3a5f80; to 'Tensor' at 0x7f2022eea980>
2022-11-23T01:32:30.1095200Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1095268Z             }
2022-11-23T01:32:30.1095337Z             
2022-11-23T01:32:30.1095419Z  - 
2022-11-23T01:32:30.1095545Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.1095606Z             {
2022-11-23T01:32:30.1095751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1095866Z                 'code': None,
2022-11-23T01:32:30.1096075Z                 'obj_weakref': <weakref at 0x7f207272bd30; to 'Tensor' at 0x7f21279e6d40>
2022-11-23T01:32:30.1096317Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1096387Z             }
2022-11-23T01:32:30.1096454Z             
2022-11-23T01:32:30.1096521Z  - 
2022-11-23T01:32:30.1096655Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1096722Z             {
2022-11-23T01:32:30.1096862Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1097035Z                 'code': ['___check_obj_id(model, 139780386449888)'],
2022-11-23T01:32:30.1097161Z                 'obj_weakref': None
2022-11-23T01:32:30.1097395Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1097457Z             }
2022-11-23T01:32:30.1097526Z             
2022-11-23T01:32:30.1097605Z  - 
2022-11-23T01:32:30.1097729Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1097797Z             {
2022-11-23T01:32:30.1097937Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1098154Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1098268Z                 'obj_weakref': None
2022-11-23T01:32:30.1098487Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1098555Z             }
2022-11-23T01:32:30.1098624Z             
2022-11-23T01:32:30.1098699Z  - 
2022-11-23T01:32:30.1099024Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1099094Z             {
2022-11-23T01:32:30.1099214Z                 'guard_types': None,
2022-11-23T01:32:30.1099327Z                 'code': None,
2022-11-23T01:32:30.1099450Z                 'obj_weakref': None
2022-11-23T01:32:30.1099575Z                 'guarded_class': None
2022-11-23T01:32:30.1099649Z             }
2022-11-23T01:32:30.1099719Z             
2022-11-23T01:32:30.1099984Z [2022-11-23 01:25:39,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159
2022-11-23T01:32:30.1100342Z [2022-11-23 01:25:41,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ad/cadmw5dt3rn7w4pjixbtbhzn6rg6pxscoc2goctksmygm3i2a3ap.py
2022-11-23T01:32:30.1100612Z [2022-11-23 01:25:41,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159
2022-11-23T01:32:30.1100618Z 
2022-11-23T01:32:30.1100717Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1100792Z import torch
2022-11-23T01:32:30.1100868Z import random
2022-11-23T01:32:30.1100990Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1101163Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1101170Z 
2022-11-23T01:32:30.1101254Z aten = torch.ops.aten
2022-11-23T01:32:30.1101396Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1101528Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1101533Z 
2022-11-23T01:32:30.1101609Z import triton
2022-11-23T01:32:30.1101707Z import triton.language as tl
2022-11-23T01:32:30.1101842Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1101995Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1102000Z 
2022-11-23T01:32:30.1102005Z 
2022-11-23T01:32:30.1102156Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1102387Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1102512Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.1102629Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.1102742Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1102810Z {
2022-11-23T01:32:30.1102877Z     {
2022-11-23T01:32:30.1102946Z         {
2022-11-23T01:32:30.1103041Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:30.1103129Z             auto tmp1 = in_ptr1[tmp0];
2022-11-23T01:32:30.1103214Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:30.1103281Z         }
2022-11-23T01:32:30.1103346Z     }
2022-11-23T01:32:30.1103412Z }
2022-11-23T01:32:30.1103500Z ''')
2022-11-23T01:32:30.1103506Z 
2022-11-23T01:32:30.1103510Z 
2022-11-23T01:32:30.1103608Z async_compile.wait(globals())
2022-11-23T01:32:30.1103679Z del async_compile
2022-11-23T01:32:30.1103684Z 
2022-11-23T01:32:30.1103759Z def call(args):
2022-11-23T01:32:30.1103841Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.1103917Z     args.clear()
2022-11-23T01:32:30.1104140Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1104323Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1104395Z     del arg0_1
2022-11-23T01:32:30.1104460Z     del arg1_1
2022-11-23T01:32:30.1104536Z     return (buf0, )
2022-11-23T01:32:30.1104544Z 
2022-11-23T01:32:30.1104549Z 
2022-11-23T01:32:30.1104630Z if __name__ == "__main__":
2022-11-23T01:32:30.1104756Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1104894Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1105125Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1105341Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1105468Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.1105473Z 
2022-11-23T01:32:30.1105538Z ok (1.547s)
2022-11-23T01:32:30.1105889Z   test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1106234Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1106458Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1106712Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1106989Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1107311Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1107658Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1108021Z [2022-11-23 01:25:41,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1108399Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125> 
2022-11-23T01:32:30.1108522Z  4126           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1108624Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:30.1108724Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1108824Z                6 LOAD_METHOD              2 (view)
2022-11-23T01:32:30.1108921Z                8 LOAD_CONST               1 (32)
2022-11-23T01:32:30.1109018Z               10 LOAD_CONST               1 (32)
2022-11-23T01:32:30.1109113Z               12 CALL_METHOD              2
2022-11-23T01:32:30.1109209Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.1109305Z               16 LOAD_METHOD              2 (view)
2022-11-23T01:32:30.1109400Z               18 LOAD_CONST               1 (32)
2022-11-23T01:32:30.1109496Z               20 LOAD_CONST               1 (32)
2022-11-23T01:32:30.1109592Z               22 CALL_METHOD              2
2022-11-23T01:32:30.1109686Z               24 CALL_METHOD              2
2022-11-23T01:32:30.1109768Z               26 RETURN_VALUE
2022-11-23T01:32:30.1109834Z  
2022-11-23T01:32:30.1109839Z 
2022-11-23T01:32:30.1110153Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4126
2022-11-23T01:32:30.1110459Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1110845Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1111168Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1111512Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1111886Z [2022-11-23 01:25:41,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.1112292Z [2022-11-23 01:25:41,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:30.1112737Z [2022-11-23 01:25:41,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1113078Z [2022-11-23 01:25:41,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1113445Z [2022-11-23 01:25:41,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1113842Z [2022-11-23 01:25:41,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.1114268Z [2022-11-23 01:25:41,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:30.1114771Z [2022-11-23 01:25:41,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1115155Z [2022-11-23 01:25:41,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1115397Z [2022-11-23 01:25:41,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1115768Z [2022-11-23 01:25:41,304] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125>
2022-11-23T01:32:30.1116013Z [2022-11-23 01:25:41,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1116252Z [2022-11-23 01:25:41,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1116505Z [2022-11-23 01:25:41,305] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1116762Z [2022-11-23 01:25:41,309] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1116954Z [2022-11-23 01:25:41,309] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1117095Z  __compiled_fn_167 <eval_with_key>.1049 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1117191Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1117276Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.1117381Z call_method, view, view, (ex_0_, 32, 32), {}
2022-11-23T01:32:30.1117485Z call_method, view_1, view, (ex_1_, 32, 32), {}
2022-11-23T01:32:30.1117712Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (view, view_1), {}
2022-11-23T01:32:30.1117814Z output, output, output, ((mm,),), {}
2022-11-23T01:32:30.1117820Z 
2022-11-23T01:32:30.1118141Z [2022-11-23 01:25:41,309] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1118247Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1118346Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1118432Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1118533Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1118626Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1118721Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1118805Z              12 RETURN_VALUE
2022-11-23T01:32:30.1118810Z 
2022-11-23T01:32:30.1118875Z  
2022-11-23T01:32:30.1119196Z [2022-11-23 01:25:41,310] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1119315Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_167)
2022-11-23T01:32:30.1119405Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1119505Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1119592Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1119687Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1119781Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1119866Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.1119961Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.1120050Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1120131Z              18 RETURN_VALUE
2022-11-23T01:32:30.1120136Z 
2022-11-23T01:32:30.1120202Z  
2022-11-23T01:32:30.1120388Z [2022-11-23 01:25:41,310] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1120464Z  - 
2022-11-23T01:32:30.1120587Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1120657Z             {
2022-11-23T01:32:30.1120822Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1121015Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.1121163Z                 'obj_weakref': None
2022-11-23T01:32:30.1121387Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1121458Z             }
2022-11-23T01:32:30.1121529Z             
2022-11-23T01:32:30.1121624Z  - 
2022-11-23T01:32:30.1121758Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1121840Z             {
2022-11-23T01:32:30.1121987Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1122100Z                 'code': None,
2022-11-23T01:32:30.1122312Z                 'obj_weakref': <weakref at 0x7f20606b85e0; to 'Tensor' at 0x7f2115980450>
2022-11-23T01:32:30.1122560Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1122634Z             }
2022-11-23T01:32:30.1122696Z             
2022-11-23T01:32:30.1122773Z  - 
2022-11-23T01:32:30.1122900Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.1122968Z             {
2022-11-23T01:32:30.1123116Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1123231Z                 'code': None,
2022-11-23T01:32:30.1123435Z                 'obj_weakref': <weakref at 0x7f201e384680; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1123671Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1123741Z             }
2022-11-23T01:32:30.1123809Z             
2022-11-23T01:32:30.1123886Z  - 
2022-11-23T01:32:30.1124023Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1124093Z             {
2022-11-23T01:32:30.1124234Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1124402Z                 'code': ['___check_obj_id(model, 139776001814976)'],
2022-11-23T01:32:30.1124527Z                 'obj_weakref': None
2022-11-23T01:32:30.1124758Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1124831Z             }
2022-11-23T01:32:30.1124901Z             
2022-11-23T01:32:30.1124979Z  - 
2022-11-23T01:32:30.1125107Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1125168Z             {
2022-11-23T01:32:30.1125312Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1125536Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1125661Z                 'obj_weakref': None
2022-11-23T01:32:30.1125887Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1125956Z             }
2022-11-23T01:32:30.1126024Z             
2022-11-23T01:32:30.1126092Z  - 
2022-11-23T01:32:30.1126230Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1126308Z             {
2022-11-23T01:32:30.1126433Z                 'guard_types': None,
2022-11-23T01:32:30.1126547Z                 'code': None,
2022-11-23T01:32:30.1126671Z                 'obj_weakref': None
2022-11-23T01:32:30.1126801Z                 'guarded_class': None
2022-11-23T01:32:30.1126863Z             }
2022-11-23T01:32:30.1126933Z             
2022-11-23T01:32:30.1127198Z [2022-11-23 01:25:41,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160
2022-11-23T01:32:30.1127564Z [2022-11-23 01:25:41,318] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sq/csqutelfpfmzitcerxzpa3v73hps6u7kvzn3ih4ym5bvh7sca2km.py
2022-11-23T01:32:30.1127830Z [2022-11-23 01:25:41,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160
2022-11-23T01:32:30.1127836Z 
2022-11-23T01:32:30.1127935Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1128009Z import torch
2022-11-23T01:32:30.1128083Z import random
2022-11-23T01:32:30.1128231Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1128360Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1128365Z 
2022-11-23T01:32:30.1128450Z aten = torch.ops.aten
2022-11-23T01:32:30.1128615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1128714Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1128719Z 
2022-11-23T01:32:30.1128794Z import triton
2022-11-23T01:32:30.1128886Z import triton.language as tl
2022-11-23T01:32:30.1129006Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1129149Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1129155Z 
2022-11-23T01:32:30.1129159Z 
2022-11-23T01:32:30.1129252Z async_compile.wait(globals())
2022-11-23T01:32:30.1129330Z del async_compile
2022-11-23T01:32:30.1129335Z 
2022-11-23T01:32:30.1129413Z def call(args):
2022-11-23T01:32:30.1129496Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.1129572Z     args.clear()
2022-11-23T01:32:30.1129780Z     buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1129903Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2022-11-23T01:32:30.1129985Z     del arg0_1
2022-11-23T01:32:30.1130058Z     del arg1_1
2022-11-23T01:32:30.1130136Z     return (buf0, )
2022-11-23T01:32:30.1130141Z 
2022-11-23T01:32:30.1130145Z 
2022-11-23T01:32:30.1130227Z if __name__ == "__main__":
2022-11-23T01:32:30.1130345Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1130475Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1130679Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1130883Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1131006Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.1131012Z 
2022-11-23T01:32:30.1131083Z ok (0.024s)
2022-11-23T01:32:30.1131393Z   test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1131706Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1131932Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1132233Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1132507Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1132820Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1133154Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1133470Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1133843Z [2022-11-23 01:25:41,322] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421> 
2022-11-23T01:32:30.1133947Z  2422           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1134047Z                2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.1134145Z                4 LOAD_GLOBAL              2 (len)
2022-11-23T01:32:30.1134244Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1134345Z                8 CALL_FUNCTION            1
2022-11-23T01:32:30.1134489Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:30.1134661Z               12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:30.1134762Z               14 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.1134861Z               16 LOAD_METHOD              3 (to)
2022-11-23T01:32:30.1134981Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1135079Z               20 LOAD_ATTR                4 (device)
2022-11-23T01:32:30.1135172Z               22 CALL_METHOD              1
2022-11-23T01:32:30.1135266Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1135337Z               26 BINARY_ADD
2022-11-23T01:32:30.1135421Z               28 RETURN_VALUE
2022-11-23T01:32:30.1135485Z  
2022-11-23T01:32:30.1135491Z 
2022-11-23T01:32:30.1135808Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2422
2022-11-23T01:32:30.1136028Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1136396Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1136724Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1137078Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), BuiltinVariable(len)]
2022-11-23T01:32:30.1137456Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), BuiltinVariable(len), TensorVariable()]
2022-11-23T01:32:30.1137813Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.1138202Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:30.1138638Z [2022-11-23 01:25:41,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.1139061Z [2022-11-23 01:25:41,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:30.1139337Z [2022-11-23 01:25:41,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.1139643Z [2022-11-23 01:25:41,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:30.1139958Z [2022-11-23 01:25:41,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:30.1140200Z [2022-11-23 01:25:41,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.1140477Z [2022-11-23 01:25:41,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1140731Z [2022-11-23 01:25:41,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1141108Z [2022-11-23 01:25:41,326] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421>
2022-11-23T01:32:30.1141359Z [2022-11-23 01:25:41,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1141633Z [2022-11-23 01:25:41,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1141897Z [2022-11-23 01:25:41,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1142178Z [2022-11-23 01:25:41,330] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1142373Z [2022-11-23 01:25:41,330] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1142514Z  __compiled_fn_168 <eval_with_key>.1055 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1142610Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1142864Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (32,), {'device': 'cpu'}
2022-11-23T01:32:30.1143033Z call_method, to, to, (arange, device(type='cpu')), {}
2022-11-23T01:32:30.1143206Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:30.1143307Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.1143313Z 
2022-11-23T01:32:30.1143645Z [2022-11-23 01:25:41,330] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1143747Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1143849Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1143942Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1144041Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1144132Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1144219Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1144302Z              12 RETURN_VALUE
2022-11-23T01:32:30.1144307Z 
2022-11-23T01:32:30.1144373Z  
2022-11-23T01:32:30.1144701Z [2022-11-23 01:25:41,330] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1144818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_168)
2022-11-23T01:32:30.1144918Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1145015Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1145099Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1145189Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1145285Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1145369Z              12 RETURN_VALUE
2022-11-23T01:32:30.1145374Z 
2022-11-23T01:32:30.1145440Z  
2022-11-23T01:32:30.1145631Z [2022-11-23 01:25:41,331] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1145705Z  - 
2022-11-23T01:32:30.1145831Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1145893Z             {
2022-11-23T01:32:30.1146038Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1146230Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1146355Z                 'obj_weakref': None
2022-11-23T01:32:30.1146583Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1146653Z             }
2022-11-23T01:32:30.1146722Z             
2022-11-23T01:32:30.1146790Z  - 
2022-11-23T01:32:30.1146916Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.1146987Z             {
2022-11-23T01:32:30.1147129Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.1147304Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.1147513Z                 'obj_weakref': <weakref at 0x7f207277d670; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1147759Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1147821Z             }
2022-11-23T01:32:30.1147889Z             
2022-11-23T01:32:30.1147963Z  - 
2022-11-23T01:32:30.1148094Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1148162Z             {
2022-11-23T01:32:30.1148310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1148457Z                 'code': None,
2022-11-23T01:32:30.1148658Z                 'obj_weakref': <weakref at 0x7f207277d670; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1148924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1148992Z             }
2022-11-23T01:32:30.1149061Z             
2022-11-23T01:32:30.1149135Z  - 
2022-11-23T01:32:30.1149271Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1149339Z             {
2022-11-23T01:32:30.1149471Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1149646Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1149768Z                 'obj_weakref': None
2022-11-23T01:32:30.1149996Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1150068Z             }
2022-11-23T01:32:30.1150138Z             
2022-11-23T01:32:30.1150215Z  - 
2022-11-23T01:32:30.1150427Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1150497Z             {
2022-11-23T01:32:30.1150639Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1150866Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1150990Z                 'obj_weakref': None
2022-11-23T01:32:30.1151214Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1151282Z             }
2022-11-23T01:32:30.1151342Z             
2022-11-23T01:32:30.1151421Z  - 
2022-11-23T01:32:30.1151554Z             global 'len' BUILTIN_MATCH
2022-11-23T01:32:30.1151636Z             {
2022-11-23T01:32:30.1151776Z                 'guard_types': None,
2022-11-23T01:32:30.1151908Z                 'code': None,
2022-11-23T01:32:30.1152031Z                 'obj_weakref': None
2022-11-23T01:32:30.1152150Z                 'guarded_class': None
2022-11-23T01:32:30.1152222Z             }
2022-11-23T01:32:30.1152290Z             
2022-11-23T01:32:30.1152366Z  - 
2022-11-23T01:32:30.1152503Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1152572Z             {
2022-11-23T01:32:30.1152694Z                 'guard_types': None,
2022-11-23T01:32:30.1152806Z                 'code': None,
2022-11-23T01:32:30.1152929Z                 'obj_weakref': None
2022-11-23T01:32:30.1153056Z                 'guarded_class': None
2022-11-23T01:32:30.1153125Z             }
2022-11-23T01:32:30.1153193Z             
2022-11-23T01:32:30.1153457Z [2022-11-23 01:25:41,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161
2022-11-23T01:32:30.1153825Z [2022-11-23 01:25:42,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctvcmqfgo34zm2twydhnfdlaqguaysk3rjbvbx3kuybc7cru3snh.py
2022-11-23T01:32:30.1154086Z [2022-11-23 01:25:42,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161
2022-11-23T01:32:30.1154094Z 
2022-11-23T01:32:30.1154194Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1154266Z import torch
2022-11-23T01:32:30.1154341Z import random
2022-11-23T01:32:30.1154464Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1154590Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1154595Z 
2022-11-23T01:32:30.1154679Z aten = torch.ops.aten
2022-11-23T01:32:30.1154817Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1154907Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1154912Z 
2022-11-23T01:32:30.1154988Z import triton
2022-11-23T01:32:30.1155081Z import triton.language as tl
2022-11-23T01:32:30.1155206Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1155347Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1155352Z 
2022-11-23T01:32:30.1155357Z 
2022-11-23T01:32:30.1155495Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1155752Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1155879Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1156005Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1156072Z {
2022-11-23T01:32:30.1156175Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1156241Z     {
2022-11-23T01:32:30.1156323Z         #pragma omp for 
2022-11-23T01:32:30.1156411Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.1156472Z         {
2022-11-23T01:32:30.1156543Z             {
2022-11-23T01:32:30.1156612Z                 {
2022-11-23T01:32:30.1156713Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:32:30.1156825Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:30.1156938Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:30.1157037Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.1157123Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.1157193Z                 }
2022-11-23T01:32:30.1157262Z             }
2022-11-23T01:32:30.1157332Z         }
2022-11-23T01:32:30.1157397Z     }
2022-11-23T01:32:30.1157469Z }
2022-11-23T01:32:30.1157555Z ''')
2022-11-23T01:32:30.1157562Z 
2022-11-23T01:32:30.1157566Z 
2022-11-23T01:32:30.1157652Z async_compile.wait(globals())
2022-11-23T01:32:30.1157729Z del async_compile
2022-11-23T01:32:30.1157734Z 
2022-11-23T01:32:30.1157812Z def call(args):
2022-11-23T01:32:30.1157887Z     arg0_1, = args
2022-11-23T01:32:30.1157963Z     args.clear()
2022-11-23T01:32:30.1158161Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1158299Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1158365Z     del arg0_1
2022-11-23T01:32:30.1158442Z     return (buf0, )
2022-11-23T01:32:30.1158447Z 
2022-11-23T01:32:30.1158451Z 
2022-11-23T01:32:30.1158532Z if __name__ == "__main__":
2022-11-23T01:32:30.1158655Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1158784Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1158982Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1159098Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1159103Z 
2022-11-23T01:32:30.1159174Z ok (1.558s)
2022-11-23T01:32:30.1159486Z   test_multi_device_cpu (__main__.CpuTests) ... [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1159790Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1160011Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1160263Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1160541Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1160860Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1161207Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1161530Z [2022-11-23 01:25:42,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1161934Z [2022-11-23 01:25:42,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec87c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1775> 
2022-11-23T01:32:30.1162054Z  1776           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1162186Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1162259Z                4 BINARY_ADD
2022-11-23T01:32:30.1162357Z                6 STORE_FAST               0 (x)
2022-11-23T01:32:30.1162384Z 
2022-11-23T01:32:30.1162480Z 1777           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1162574Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.1162655Z               12 BINARY_ADD
2022-11-23T01:32:30.1162747Z               14 STORE_FAST               0 (x)
2022-11-23T01:32:30.1162752Z 
2022-11-23T01:32:30.1162848Z 1778          16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1162940Z               18 LOAD_METHOD              0 (cuda)
2022-11-23T01:32:30.1163039Z               20 CALL_METHOD              0
2022-11-23T01:32:30.1163136Z               22 STORE_FAST               0 (x)
2022-11-23T01:32:30.1163141Z 
2022-11-23T01:32:30.1163233Z 1779          24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1163328Z               26 LOAD_CONST               3 (3)
2022-11-23T01:32:30.1163406Z               28 BINARY_ADD
2022-11-23T01:32:30.1163499Z               30 STORE_FAST               0 (x)
2022-11-23T01:32:30.1163504Z 
2022-11-23T01:32:30.1163599Z 1780          32 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1163684Z               34 LOAD_CONST               4 (4)
2022-11-23T01:32:30.1163762Z               36 BINARY_ADD
2022-11-23T01:32:30.1163860Z               38 STORE_FAST               0 (x)
2022-11-23T01:32:30.1163865Z 
2022-11-23T01:32:30.1163956Z 1781          40 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1164057Z               42 LOAD_METHOD              1 (cpu)
2022-11-23T01:32:30.1164150Z               44 CALL_METHOD              0
2022-11-23T01:32:30.1164244Z               46 STORE_FAST               0 (x)
2022-11-23T01:32:30.1164249Z 
2022-11-23T01:32:30.1164340Z 1782          48 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1164427Z               50 LOAD_CONST               5 (5)
2022-11-23T01:32:30.1164508Z               52 BINARY_ADD
2022-11-23T01:32:30.1164599Z               54 STORE_FAST               0 (x)
2022-11-23T01:32:30.1164604Z 
2022-11-23T01:32:30.1164695Z 1783          56 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1164789Z               58 LOAD_CONST               6 (6)
2022-11-23T01:32:30.1164867Z               60 BINARY_ADD
2022-11-23T01:32:30.1164959Z               62 STORE_FAST               0 (x)
2022-11-23T01:32:30.1164964Z 
2022-11-23T01:32:30.1165047Z 1784          64 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1165148Z               66 LOAD_METHOD              0 (cuda)
2022-11-23T01:32:30.1165240Z               68 CALL_METHOD              0
2022-11-23T01:32:30.1165335Z               70 STORE_FAST               0 (x)
2022-11-23T01:32:30.1165339Z 
2022-11-23T01:32:30.1165432Z 1785          72 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1165523Z               74 LOAD_CONST               7 (7)
2022-11-23T01:32:30.1165602Z               76 BINARY_ADD
2022-11-23T01:32:30.1165697Z               78 STORE_FAST               0 (x)
2022-11-23T01:32:30.1165702Z 
2022-11-23T01:32:30.1165785Z 1786          80 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1165878Z               82 LOAD_CONST               8 (8)
2022-11-23T01:32:30.1165957Z               84 BINARY_ADD
2022-11-23T01:32:30.1166050Z               86 STORE_FAST               0 (x)
2022-11-23T01:32:30.1166054Z 
2022-11-23T01:32:30.1166145Z 1787          88 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1166245Z               90 LOAD_METHOD              1 (cpu)
2022-11-23T01:32:30.1166339Z               92 CALL_METHOD              0
2022-11-23T01:32:30.1166425Z               94 STORE_FAST               0 (x)
2022-11-23T01:32:30.1166438Z 
2022-11-23T01:32:30.1166523Z 1788          96 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1166615Z               98 LOAD_CONST               9 (9)
2022-11-23T01:32:30.1166692Z              100 BINARY_ADD
2022-11-23T01:32:30.1166783Z              102 STORE_FAST               0 (x)
2022-11-23T01:32:30.1166824Z 
2022-11-23T01:32:30.1166917Z 1789         104 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1167014Z              106 LOAD_CONST              10 (10)
2022-11-23T01:32:30.1167114Z              108 BINARY_ADD
2022-11-23T01:32:30.1167200Z              110 STORE_FAST               0 (x)
2022-11-23T01:32:30.1167212Z 
2022-11-23T01:32:30.1167296Z 1790         112 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1167379Z              114 RETURN_VALUE
2022-11-23T01:32:30.1167445Z  
2022-11-23T01:32:30.1167450Z 
2022-11-23T01:32:30.1167768Z [2022-11-23 01:25:42,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1776
2022-11-23T01:32:30.1167980Z [2022-11-23 01:25:42,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1168220Z [2022-11-23 01:25:42,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.1168500Z [2022-11-23 01:25:42,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1168734Z [2022-11-23 01:25:42,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1169040Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1777
2022-11-23T01:32:30.1169250Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1169491Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.1169768Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1170000Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1170308Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1778
2022-11-23T01:32:30.1170516Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1170765Z [2022-11-23 01:25:42,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cuda [TensorVariable()]
2022-11-23T01:32:30.1171045Z [2022-11-23 01:25:42,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cuda)]
2022-11-23T01:32:30.1171276Z [2022-11-23 01:25:42,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1171596Z [2022-11-23 01:25:42,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1779
2022-11-23T01:32:30.1171845Z [2022-11-23 01:25:42,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1172087Z [2022-11-23 01:25:42,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:30.1172369Z [2022-11-23 01:25:42,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1172607Z [2022-11-23 01:25:42,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1172916Z [2022-11-23 01:25:42,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1780
2022-11-23T01:32:30.1173127Z [2022-11-23 01:25:42,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1173363Z [2022-11-23 01:25:42,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:30.1173640Z [2022-11-23 01:25:42,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1173894Z [2022-11-23 01:25:42,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1174203Z [2022-11-23 01:25:42,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1781
2022-11-23T01:32:30.1174435Z [2022-11-23 01:25:42,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1174683Z [2022-11-23 01:25:42,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cpu [TensorVariable()]
2022-11-23T01:32:30.1174966Z [2022-11-23 01:25:42,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cpu)]
2022-11-23T01:32:30.1175202Z [2022-11-23 01:25:42,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1175511Z [2022-11-23 01:25:42,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1782
2022-11-23T01:32:30.1175723Z [2022-11-23 01:25:42,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1175957Z [2022-11-23 01:25:42,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:30.1176227Z [2022-11-23 01:25:42,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1176462Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1176768Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1783
2022-11-23T01:32:30.1176975Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1177210Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable()]
2022-11-23T01:32:30.1177491Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1177725Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1178030Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1784
2022-11-23T01:32:30.1178242Z [2022-11-23 01:25:42,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1178486Z [2022-11-23 01:25:42,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cuda [TensorVariable()]
2022-11-23T01:32:30.1178756Z [2022-11-23 01:25:42,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cuda)]
2022-11-23T01:32:30.1179178Z [2022-11-23 01:25:42,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1179486Z [2022-11-23 01:25:42,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1785
2022-11-23T01:32:30.1179695Z [2022-11-23 01:25:42,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1179931Z [2022-11-23 01:25:42,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TensorVariable()]
2022-11-23T01:32:30.1180212Z [2022-11-23 01:25:42,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1180446Z [2022-11-23 01:25:42,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1180752Z [2022-11-23 01:25:42,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1786
2022-11-23T01:32:30.1180961Z [2022-11-23 01:25:42,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1181188Z [2022-11-23 01:25:42,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable()]
2022-11-23T01:32:30.1181511Z [2022-11-23 01:25:42,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1181747Z [2022-11-23 01:25:42,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1182083Z [2022-11-23 01:25:42,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1787
2022-11-23T01:32:30.1182290Z [2022-11-23 01:25:42,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1182534Z [2022-11-23 01:25:42,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cpu [TensorVariable()]
2022-11-23T01:32:30.1182815Z [2022-11-23 01:25:42,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cpu)]
2022-11-23T01:32:30.1183053Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1183362Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1788
2022-11-23T01:32:30.1183569Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1183799Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [TensorVariable()]
2022-11-23T01:32:30.1184076Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1184311Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1184618Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1789
2022-11-23T01:32:30.1184825Z [2022-11-23 01:25:42,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1185067Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:30.1185345Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1185585Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1185890Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1790
2022-11-23T01:32:30.1186090Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1186340Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1186724Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec87c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1775>
2022-11-23T01:32:30.1186976Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1187222Z [2022-11-23 01:25:42,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1187479Z [2022-11-23 01:25:42,900] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1187734Z [2022-11-23 01:25:42,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1187930Z [2022-11-23 01:25:42,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1188075Z  __compiled_fn_169 <eval_with_key>.1061 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1188162Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1188339Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.1188545Z call_function, add_1, <built-in function add>, (add, 2), {}
2022-11-23T01:32:30.1188644Z call_method, cuda, cuda, (add_1,), {}
2022-11-23T01:32:30.1188823Z call_function, add_2, <built-in function add>, (cuda, 3), {}
2022-11-23T01:32:30.1189029Z call_function, add_3, <built-in function add>, (add_2, 4), {}
2022-11-23T01:32:30.1189129Z call_method, cpu, cpu, (add_3,), {}
2022-11-23T01:32:30.1189304Z call_function, add_4, <built-in function add>, (cpu, 5), {}
2022-11-23T01:32:30.1189476Z call_function, add_5, <built-in function add>, (add_4, 6), {}
2022-11-23T01:32:30.1189578Z call_method, cuda_1, cuda, (add_5,), {}
2022-11-23T01:32:30.1189758Z call_function, add_6, <built-in function add>, (cuda_1, 7), {}
2022-11-23T01:32:30.1189938Z call_function, add_7, <built-in function add>, (add_6, 8), {}
2022-11-23T01:32:30.1190037Z call_method, cpu_1, cpu, (add_7,), {}
2022-11-23T01:32:30.1190211Z call_function, add_8, <built-in function add>, (cpu_1, 9), {}
2022-11-23T01:32:30.1190470Z call_function, add_9, <built-in function add>, (add_8, 10), {}
2022-11-23T01:32:30.1190575Z output, output, output, ((add_9,),), {}
2022-11-23T01:32:30.1190581Z 
2022-11-23T01:32:30.1190915Z [2022-11-23 01:25:42,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1191021Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1191118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1191211Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1191310Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1191401Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1191495Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1191570Z              12 RETURN_VALUE
2022-11-23T01:32:30.1191575Z 
2022-11-23T01:32:30.1191640Z  
2022-11-23T01:32:30.1191969Z [2022-11-23 01:25:42,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1192088Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_169)
2022-11-23T01:32:30.1192184Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1192283Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1192367Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1192460Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1192549Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1192631Z              12 RETURN_VALUE
2022-11-23T01:32:30.1192636Z 
2022-11-23T01:32:30.1192703Z  
2022-11-23T01:32:30.1192892Z [2022-11-23 01:25:42,912] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1192965Z  - 
2022-11-23T01:32:30.1193088Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1193159Z             {
2022-11-23T01:32:30.1193297Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1193488Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1193616Z                 'obj_weakref': None
2022-11-23T01:32:30.1193843Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1193915Z             }
2022-11-23T01:32:30.1193984Z             
2022-11-23T01:32:30.1194059Z  - 
2022-11-23T01:32:30.1194181Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1194250Z             {
2022-11-23T01:32:30.1194398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1194511Z                 'code': None,
2022-11-23T01:32:30.1194724Z                 'obj_weakref': <weakref at 0x7f2115a8aa70; to 'Tensor' at 0x7f212794a9d0>
2022-11-23T01:32:30.1194975Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1195044Z             }
2022-11-23T01:32:30.1195105Z             
2022-11-23T01:32:30.1195180Z  - 
2022-11-23T01:32:30.1195316Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1195422Z             {
2022-11-23T01:32:30.1195564Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1195739Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1195886Z                 'obj_weakref': None
2022-11-23T01:32:30.1196110Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1196179Z             }
2022-11-23T01:32:30.1196246Z             
2022-11-23T01:32:30.1196323Z  - 
2022-11-23T01:32:30.1196449Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1196516Z             {
2022-11-23T01:32:30.1196651Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1196874Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1196998Z                 'obj_weakref': None
2022-11-23T01:32:30.1197220Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1197291Z             }
2022-11-23T01:32:30.1197358Z             
2022-11-23T01:32:30.1197624Z [2022-11-23 01:25:42,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162
2022-11-23T01:32:30.1197811Z [2022-11-23 01:25:42,930] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:30.1197981Z [2022-11-23 01:25:42,931] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:30.1198155Z [2022-11-23 01:25:42,932] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:30.1198330Z [2022-11-23 01:25:42,934] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:30.1198579Z [2022-11-23 01:25:42,952] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.1198830Z [2022-11-23 01:25:42,956] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf6')]
2022-11-23T01:32:30.1199194Z [2022-11-23 01:25:44,595] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6k/c6kgczistd4nnyhd3e6fa3kiokp6sjfi4qxgf3epqei4uzkrsrn2.py
2022-11-23T01:32:30.1199463Z [2022-11-23 01:25:44,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162
2022-11-23T01:32:30.1199469Z 
2022-11-23T01:32:30.1199574Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1199650Z import torch
2022-11-23T01:32:30.1199719Z import random
2022-11-23T01:32:30.1199841Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1199968Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1199973Z 
2022-11-23T01:32:30.1200057Z aten = torch.ops.aten
2022-11-23T01:32:30.1200197Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1200295Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1200300Z 
2022-11-23T01:32:30.1200375Z import triton
2022-11-23T01:32:30.1200460Z import triton.language as tl
2022-11-23T01:32:30.1200588Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1200732Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1200738Z 
2022-11-23T01:32:30.1200742Z 
2022-11-23T01:32:30.1200881Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1201093Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1201222Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1201328Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1201394Z {
2022-11-23T01:32:30.1201489Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1201568Z     {
2022-11-23T01:32:30.1201663Z         #pragma omp for 
2022-11-23T01:32:30.1201763Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.1201843Z         {
2022-11-23T01:32:30.1201987Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1202127Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1202210Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1202436Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.1202528Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1202625Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1202719Z         }
2022-11-23T01:32:30.1202820Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1202909Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:30.1202970Z         {
2022-11-23T01:32:30.1203060Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1203168Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.1203257Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1203360Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.1203449Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1203535Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1203595Z         }
2022-11-23T01:32:30.1203661Z     }
2022-11-23T01:32:30.1203725Z }
2022-11-23T01:32:30.1203812Z ''')
2022-11-23T01:32:30.1203818Z 
2022-11-23T01:32:30.1203825Z 
2022-11-23T01:32:30.1204026Z triton_fused_add_3_add_1_add_2_add__to_copy1 = async_compile.triton('''
2022-11-23T01:32:30.1204102Z import triton
2022-11-23T01:32:30.1204196Z import triton.language as tl
2022-11-23T01:32:30.1204307Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.1204412Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.1204546Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.1204672Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.1204678Z 
2022-11-23T01:32:30.1205032Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:30.1205106Z @triton.jit
2022-11-23T01:32:30.1205231Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.1205307Z     xnumel = 40
2022-11-23T01:32:30.1205401Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.1205533Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.1205617Z     xmask = xindex < xnumel
2022-11-23T01:32:30.1205688Z     x0 = xindex
2022-11-23T01:32:30.1205795Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:30.1205865Z     tmp1 = 3
2022-11-23T01:32:30.1205943Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.1206007Z     tmp3 = 4
2022-11-23T01:32:30.1206085Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.1206226Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.1206312Z ''')
2022-11-23T01:32:30.1206317Z 
2022-11-23T01:32:30.1206322Z 
2022-11-23T01:32:30.1206459Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:32:30.1206668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1206791Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.1206859Z {
2022-11-23T01:32:30.1206956Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1207023Z     {
2022-11-23T01:32:30.1207104Z         #pragma omp for 
2022-11-23T01:32:30.1207191Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.1207262Z         {
2022-11-23T01:32:30.1207408Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1207548Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:30.1207632Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1207770Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:30.1207858Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1207961Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1208028Z         }
2022-11-23T01:32:30.1208128Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1208216Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:30.1208277Z         {
2022-11-23T01:32:30.1208373Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1208507Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:30.1208598Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1208702Z             auto tmp3 = static_cast<float>(6);
2022-11-23T01:32:30.1208813Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1208902Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1208962Z         }
2022-11-23T01:32:30.1209029Z     }
2022-11-23T01:32:30.1209093Z }
2022-11-23T01:32:30.1209180Z ''')
2022-11-23T01:32:30.1209186Z 
2022-11-23T01:32:30.1209191Z 
2022-11-23T01:32:30.1209447Z triton_fused_add_4_add_5_add_6__to_copy__to_copy_1_add_3_add_1__to_copy_2_add_2_add3 = async_compile.triton('''
2022-11-23T01:32:30.1209522Z import triton
2022-11-23T01:32:30.1209616Z import triton.language as tl
2022-11-23T01:32:30.1209724Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.1209829Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.1209963Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.1210093Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.1210099Z 
2022-11-23T01:32:30.1210454Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:30.1210530Z @triton.jit
2022-11-23T01:32:30.1210657Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.1210729Z     xnumel = 40
2022-11-23T01:32:30.1210820Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.1210952Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.1211035Z     xmask = xindex < xnumel
2022-11-23T01:32:30.1211107Z     x0 = xindex
2022-11-23T01:32:30.1211213Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:30.1211283Z     tmp1 = 7
2022-11-23T01:32:30.1211362Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.1211425Z     tmp3 = 8
2022-11-23T01:32:30.1211505Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.1211648Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.1211734Z ''')
2022-11-23T01:32:30.1211739Z 
2022-11-23T01:32:30.1211744Z 
2022-11-23T01:32:30.1211880Z kernel_cpp_4 = async_compile.cpp('''
2022-11-23T01:32:30.1212087Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1212208Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.1212266Z {
2022-11-23T01:32:30.1212370Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1212436Z     {
2022-11-23T01:32:30.1212519Z         #pragma omp for 
2022-11-23T01:32:30.1212607Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.1212676Z         {
2022-11-23T01:32:30.1212820Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1212954Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(9));
2022-11-23T01:32:30.1213046Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1213187Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:30.1213278Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1213380Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1213448Z         }
2022-11-23T01:32:30.1213549Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1213638Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:30.1213698Z         {
2022-11-23T01:32:30.1213793Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1213898Z             auto tmp1 = static_cast<float>(9);
2022-11-23T01:32:30.1213989Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1214095Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:30.1214184Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1214272Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1214333Z         }
2022-11-23T01:32:30.1214400Z     }
2022-11-23T01:32:30.1214465Z }
2022-11-23T01:32:30.1214582Z ''')
2022-11-23T01:32:30.1214588Z 
2022-11-23T01:32:30.1214592Z 
2022-11-23T01:32:30.1214686Z async_compile.wait(globals())
2022-11-23T01:32:30.1214765Z del async_compile
2022-11-23T01:32:30.1214791Z 
2022-11-23T01:32:30.1214866Z def call(args):
2022-11-23T01:32:30.1214933Z     arg0_1, = args
2022-11-23T01:32:30.1215007Z     args.clear()
2022-11-23T01:32:30.1215218Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1215364Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1215437Z     del arg0_1
2022-11-23T01:32:30.1215643Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.1215721Z     buf1.copy_(buf0)
2022-11-23T01:32:30.1215805Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:30.1215900Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.1216061Z     triton_fused_add_3_add_1_add_2_add__to_copy1.run(buf2, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:30.1216150Z     buf3 = buf0; del buf0  # reuse
2022-11-23T01:32:30.1216229Z     buf3.copy_(buf2)
2022-11-23T01:32:30.1216317Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.1216428Z     kernel_cpp_2(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:30.1216508Z     buf5 = buf2; del buf2  # reuse
2022-11-23T01:32:30.1216586Z     buf5.copy_(buf4)
2022-11-23T01:32:30.1216674Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:30.1216867Z     triton_fused_add_4_add_5_add_6__to_copy__to_copy_1_add_3_add_1__to_copy_2_add_2_add3.run(buf6, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:30.1216956Z     buf7 = buf4; del buf4  # reuse
2022-11-23T01:32:30.1217033Z     buf7.copy_(buf6)
2022-11-23T01:32:30.1217103Z     del buf6
2022-11-23T01:32:30.1217183Z     buf8 = buf7; del buf7  # reuse
2022-11-23T01:32:30.1217290Z     kernel_cpp_4(c_void_p(buf8.data_ptr()))
2022-11-23T01:32:30.1217365Z     return (buf8, )
2022-11-23T01:32:30.1217370Z 
2022-11-23T01:32:30.1217375Z 
2022-11-23T01:32:30.1217458Z if __name__ == "__main__":
2022-11-23T01:32:30.1217578Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1217706Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1217919Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1218034Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1218039Z 
2022-11-23T01:32:30.1218103Z ok (1.719s)
2022-11-23T01:32:30.1218261Z   test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:30.1218413Z   test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s)
2022-11-23T01:32:30.1218713Z   test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1219223Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1219446Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1219701Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1219981Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1220297Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1220630Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1220999Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1221474Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599> 
2022-11-23T01:32:30.1221607Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1221714Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:30.1221812Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1221912Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1222011Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:30.1222109Z               10 LOAD_CONST               3 (16)
2022-11-23T01:32:30.1222200Z               12 CALL_METHOD              4
2022-11-23T01:32:30.1222303Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1222406Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:30.1222504Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1222602Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:30.1222683Z               22 BINARY_ADD
2022-11-23T01:32:30.1222780Z               24 LOAD_CONST               5 (0)
2022-11-23T01:32:30.1222870Z               26 LOAD_CONST               2 (10)
2022-11-23T01:32:30.1222969Z               28 LOAD_CONST               3 (16)
2022-11-23T01:32:30.1223064Z               30 CALL_METHOD              4
2022-11-23T01:32:30.1223160Z               32 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1223240Z               34 BINARY_ADD
2022-11-23T01:32:30.1223336Z               36 BUILD_TUPLE              2
2022-11-23T01:32:30.1223419Z               38 RETURN_VALUE
2022-11-23T01:32:30.1223478Z  
2022-11-23T01:32:30.1223483Z 
2022-11-23T01:32:30.1223845Z [2022-11-23 01:25:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600
2022-11-23T01:32:30.1224089Z [2022-11-23 01:25:44,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.1224443Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1224698Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T01:32:30.1224981Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:30.1225299Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1225648Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1226035Z [2022-11-23 01:25:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1226281Z [2022-11-23 01:25:44,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.1226603Z [2022-11-23 01:25:44,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1226887Z [2022-11-23 01:25:44,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T01:32:30.1227192Z [2022-11-23 01:25:44,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:30.1227541Z [2022-11-23 01:25:44,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1227874Z [2022-11-23 01:25:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:30.1228213Z [2022-11-23 01:25:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1228610Z [2022-11-23 01:25:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1229033Z [2022-11-23 01:25:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1229301Z [2022-11-23 01:25:44,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1229613Z [2022-11-23 01:25:44,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1229882Z [2022-11-23 01:25:44,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1230134Z [2022-11-23 01:25:44,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1230581Z [2022-11-23 01:25:44,617] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599>
2022-11-23T01:32:30.1230828Z [2022-11-23 01:25:44,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1231065Z [2022-11-23 01:25:44,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1231318Z [2022-11-23 01:25:44,618] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1231570Z [2022-11-23 01:25:44,621] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1231762Z [2022-11-23 01:25:44,622] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1231907Z  __compiled_fn_170 <eval_with_key>.1067 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1232003Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1232129Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T01:32:30.1232296Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:30.1232416Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T01:32:30.1232600Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T01:32:30.1232714Z output, output, output, ((narrow, add_1),), {}
2022-11-23T01:32:30.1232719Z 
2022-11-23T01:32:30.1233044Z [2022-11-23 01:25:44,622] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1233145Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1233242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1233338Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1233430Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1233519Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1233614Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1233695Z              12 RETURN_VALUE
2022-11-23T01:32:30.1233701Z 
2022-11-23T01:32:30.1233766Z  
2022-11-23T01:32:30.1234088Z [2022-11-23 01:25:44,622] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1234203Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_170)
2022-11-23T01:32:30.1234294Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1234421Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1234505Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1234599Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1234710Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1234844Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1234939Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1235019Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1235117Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1235213Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1235295Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1235388Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.1235467Z              26 RETURN_VALUE
2022-11-23T01:32:30.1235472Z 
2022-11-23T01:32:30.1235537Z  
2022-11-23T01:32:30.1235726Z [2022-11-23 01:25:44,623] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1235795Z  - 
2022-11-23T01:32:30.1235919Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1235987Z             {
2022-11-23T01:32:30.1236132Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1236321Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1236447Z                 'obj_weakref': None
2022-11-23T01:32:30.1236672Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1236734Z             }
2022-11-23T01:32:30.1236803Z             
2022-11-23T01:32:30.1236878Z  - 
2022-11-23T01:32:30.1237006Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1237074Z             {
2022-11-23T01:32:30.1237221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1237331Z                 'code': None,
2022-11-23T01:32:30.1237534Z                 'obj_weakref': <weakref at 0x7f207277c630; to 'Tensor' at 0x7f21276d4630>
2022-11-23T01:32:30.1237786Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1237856Z             }
2022-11-23T01:32:30.1237924Z             
2022-11-23T01:32:30.1238001Z  - 
2022-11-23T01:32:30.1238138Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1238205Z             {
2022-11-23T01:32:30.1238336Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1238509Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1238630Z                 'obj_weakref': None
2022-11-23T01:32:30.1238860Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1238929Z             }
2022-11-23T01:32:30.1238997Z             
2022-11-23T01:32:30.1239075Z  - 
2022-11-23T01:32:30.1239192Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1239259Z             {
2022-11-23T01:32:30.1239400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1239620Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1239743Z                 'obj_weakref': None
2022-11-23T01:32:30.1239967Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1240038Z             }
2022-11-23T01:32:30.1240099Z             
2022-11-23T01:32:30.1240173Z  - 
2022-11-23T01:32:30.1240307Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1240375Z             {
2022-11-23T01:32:30.1240500Z                 'guard_types': None,
2022-11-23T01:32:30.1240609Z                 'code': None,
2022-11-23T01:32:30.1240730Z                 'obj_weakref': None
2022-11-23T01:32:30.1240848Z                 'guarded_class': None
2022-11-23T01:32:30.1240916Z             }
2022-11-23T01:32:30.1240984Z             
2022-11-23T01:32:30.1241245Z [2022-11-23 01:25:44,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163
2022-11-23T01:32:30.1241660Z [2022-11-23 01:25:46,176] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chv5ngzlo2inbd3a73rxon6domm3fov5a4ii3idqnaav5gjrn336.py
2022-11-23T01:32:30.1241946Z [2022-11-23 01:25:46,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163
2022-11-23T01:32:30.1241979Z 
2022-11-23T01:32:30.1242081Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1242157Z import torch
2022-11-23T01:32:30.1242224Z import random
2022-11-23T01:32:30.1242345Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1242473Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1242478Z 
2022-11-23T01:32:30.1242560Z aten = torch.ops.aten
2022-11-23T01:32:30.1242701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1242799Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1242805Z 
2022-11-23T01:32:30.1242878Z import triton
2022-11-23T01:32:30.1242963Z import triton.language as tl
2022-11-23T01:32:30.1243092Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1243231Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1243237Z 
2022-11-23T01:32:30.1243244Z 
2022-11-23T01:32:30.1243382Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1243592Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1243717Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1243823Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1243889Z {
2022-11-23T01:32:30.1243985Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1244052Z     {
2022-11-23T01:32:30.1244137Z         #pragma omp for 
2022-11-23T01:32:30.1244226Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:30.1244294Z         {
2022-11-23T01:32:30.1244443Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 640 + (8*i0));
2022-11-23T01:32:30.1244585Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.1244669Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1244808Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1244900Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1244996Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1245064Z         }
2022-11-23T01:32:30.1245168Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1245258Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:30.1245319Z         {
2022-11-23T01:32:30.1245413Z             auto tmp0 = in_ptr0[640 + i0];
2022-11-23T01:32:30.1245517Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:30.1245607Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1245710Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.1245799Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1245885Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1245949Z         }
2022-11-23T01:32:30.1246015Z     }
2022-11-23T01:32:30.1246079Z }
2022-11-23T01:32:30.1246164Z ''')
2022-11-23T01:32:30.1246170Z 
2022-11-23T01:32:30.1246175Z 
2022-11-23T01:32:30.1246272Z async_compile.wait(globals())
2022-11-23T01:32:30.1246352Z del async_compile
2022-11-23T01:32:30.1246357Z 
2022-11-23T01:32:30.1246432Z def call(args):
2022-11-23T01:32:30.1246500Z     arg0_1, = args
2022-11-23T01:32:30.1246573Z     args.clear()
2022-11-23T01:32:30.1246771Z     buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1246910Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1247024Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T01:32:30.1247029Z 
2022-11-23T01:32:30.1247034Z 
2022-11-23T01:32:30.1247114Z if __name__ == "__main__":
2022-11-23T01:32:30.1247231Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1247402Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1247599Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1247714Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1247749Z 
2022-11-23T01:32:30.1247821Z ok (1.580s)
2022-11-23T01:32:30.1248138Z   test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:25:46,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1248452Z [2022-11-23 01:25:46,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1248672Z [2022-11-23 01:25:46,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1248925Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1249205Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1249520Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1249863Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1250173Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1250538Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813> 
2022-11-23T01:32:30.1250642Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1250757Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T01:32:30.1250857Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1250953Z                6 BUILD_LIST               0
2022-11-23T01:32:30.1251058Z                8 LOAD_CONST               1 ((1, 128, 128))
2022-11-23T01:32:30.1251157Z               10 LIST_EXTEND              1
2022-11-23T01:32:30.1251243Z               12 BUILD_LIST               0
2022-11-23T01:32:30.1251349Z               14 LOAD_CONST               2 ((16384, 128, 1))
2022-11-23T01:32:30.1251442Z               16 LIST_EXTEND              1
2022-11-23T01:32:30.1251534Z               18 CALL_METHOD              3
2022-11-23T01:32:30.1251634Z               20 LOAD_METHOD              2 (fill_)
2022-11-23T01:32:30.1251730Z               22 LOAD_CONST               3 (123)
2022-11-23T01:32:30.1251826Z               24 CALL_METHOD              1
2022-11-23T01:32:30.1251901Z               26 RETURN_VALUE
2022-11-23T01:32:30.1251976Z  
2022-11-23T01:32:30.1251982Z 
2022-11-23T01:32:30.1252344Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814
2022-11-23T01:32:30.1252568Z [2022-11-23 01:25:46,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.1252898Z [2022-11-23 01:25:46,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1253170Z [2022-11-23 01:25:46,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T01:32:30.1253470Z [2022-11-23 01:25:46,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T01:32:30.1253804Z [2022-11-23 01:25:46,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1254187Z [2022-11-23 01:25:46,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.1254504Z [2022-11-23 01:25:46,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1254880Z [2022-11-23 01:25:46,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.1255253Z [2022-11-23 01:25:46,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.1255596Z [2022-11-23 01:25:46,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.1255839Z [2022-11-23 01:25:46,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T01:32:30.1256117Z [2022-11-23 01:25:46,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T01:32:30.1256428Z [2022-11-23 01:25:46,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T01:32:30.1256676Z [2022-11-23 01:25:46,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1257047Z [2022-11-23 01:25:46,190] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813>
2022-11-23T01:32:30.1257292Z [2022-11-23 01:25:46,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1257528Z [2022-11-23 01:25:46,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1257785Z [2022-11-23 01:25:46,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1258028Z [2022-11-23 01:25:46,194] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1258223Z [2022-11-23 01:25:46,194] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1258365Z  __compiled_fn_171 <eval_with_key>.1073 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1258460Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1258619Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T01:32:30.1258738Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T01:32:30.1258956Z output, output, output, ((fill_,),), {}
2022-11-23T01:32:30.1258962Z 
2022-11-23T01:32:30.1259292Z [2022-11-23 01:25:46,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1259395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1259485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1259581Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1259680Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1259771Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1259864Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1259947Z              12 RETURN_VALUE
2022-11-23T01:32:30.1259952Z 
2022-11-23T01:32:30.1260018Z  
2022-11-23T01:32:30.1260331Z [2022-11-23 01:25:46,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1260446Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_171)
2022-11-23T01:32:30.1260543Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1260683Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1260767Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1260860Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1260956Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1261095Z              12 RETURN_VALUE
2022-11-23T01:32:30.1261100Z 
2022-11-23T01:32:30.1261158Z  
2022-11-23T01:32:30.1261346Z [2022-11-23 01:25:46,195] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1261423Z  - 
2022-11-23T01:32:30.1261545Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1261614Z             {
2022-11-23T01:32:30.1261757Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1261946Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1262087Z                 'obj_weakref': None
2022-11-23T01:32:30.1262335Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1262404Z             }
2022-11-23T01:32:30.1262476Z             
2022-11-23T01:32:30.1262552Z  - 
2022-11-23T01:32:30.1262679Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1262748Z             {
2022-11-23T01:32:30.1262886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1263002Z                 'code': None,
2022-11-23T01:32:30.1263209Z                 'obj_weakref': <weakref at 0x7f2060127650; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1263457Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1263526Z             }
2022-11-23T01:32:30.1263593Z             
2022-11-23T01:32:30.1263669Z  - 
2022-11-23T01:32:30.1263797Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1263865Z             {
2022-11-23T01:32:30.1264005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1264181Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1264306Z                 'obj_weakref': None
2022-11-23T01:32:30.1264535Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1264602Z             }
2022-11-23T01:32:30.1264667Z             
2022-11-23T01:32:30.1264742Z  - 
2022-11-23T01:32:30.1264867Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1264936Z             {
2022-11-23T01:32:30.1265076Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1265293Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1265416Z                 'obj_weakref': None
2022-11-23T01:32:30.1265630Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1265699Z             }
2022-11-23T01:32:30.1265767Z             
2022-11-23T01:32:30.1265842Z  - 
2022-11-23T01:32:30.1265976Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1266044Z             {
2022-11-23T01:32:30.1266163Z                 'guard_types': None,
2022-11-23T01:32:30.1266275Z                 'code': None,
2022-11-23T01:32:30.1266394Z                 'obj_weakref': None
2022-11-23T01:32:30.1266520Z                 'guarded_class': None
2022-11-23T01:32:30.1266591Z             }
2022-11-23T01:32:30.1266657Z             
2022-11-23T01:32:30.1266917Z [2022-11-23 01:25:46,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164
2022-11-23T01:32:30.1267274Z [2022-11-23 01:25:47,732] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aw/caw6b475kz3ggdmqpowyq55irjsqy3vklkzp3gsbkntk4ztia6hi.py
2022-11-23T01:32:30.1267530Z [2022-11-23 01:25:47,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164
2022-11-23T01:32:30.1267542Z 
2022-11-23T01:32:30.1267634Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1267707Z import torch
2022-11-23T01:32:30.1267780Z import random
2022-11-23T01:32:30.1267932Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1268060Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1268065Z 
2022-11-23T01:32:30.1268146Z aten = torch.ops.aten
2022-11-23T01:32:30.1268308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1268399Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1268403Z 
2022-11-23T01:32:30.1268478Z import triton
2022-11-23T01:32:30.1268569Z import triton.language as tl
2022-11-23T01:32:30.1268697Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1268839Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1268844Z 
2022-11-23T01:32:30.1268849Z 
2022-11-23T01:32:30.1268986Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1269195Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1269314Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1269373Z {
2022-11-23T01:32:30.1269478Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1269546Z     {
2022-11-23T01:32:30.1269631Z         #pragma omp for 
2022-11-23T01:32:30.1269720Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:32:30.1269790Z         {
2022-11-23T01:32:30.1269938Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(123));
2022-11-23T01:32:30.1270030Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1270098Z         }
2022-11-23T01:32:30.1270200Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1270368Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:32:30.1270451Z         {
2022-11-23T01:32:30.1270575Z             auto tmp0 = static_cast<float>(123);
2022-11-23T01:32:30.1270670Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.1270743Z         }
2022-11-23T01:32:30.1270812Z     }
2022-11-23T01:32:30.1270875Z }
2022-11-23T01:32:30.1270963Z ''')
2022-11-23T01:32:30.1270968Z 
2022-11-23T01:32:30.1270973Z 
2022-11-23T01:32:30.1271071Z async_compile.wait(globals())
2022-11-23T01:32:30.1271148Z del async_compile
2022-11-23T01:32:30.1271153Z 
2022-11-23T01:32:30.1271229Z def call(args):
2022-11-23T01:32:30.1271296Z     arg0_1, = args
2022-11-23T01:32:30.1271376Z     args.clear()
2022-11-23T01:32:30.1271594Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1271702Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1271779Z     return (buf0, )
2022-11-23T01:32:30.1271784Z 
2022-11-23T01:32:30.1271788Z 
2022-11-23T01:32:30.1271886Z if __name__ == "__main__":
2022-11-23T01:32:30.1272017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1272157Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1272355Z     arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1272468Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1272473Z 
2022-11-23T01:32:30.1272544Z ok (1.556s)
2022-11-23T01:32:30.1272855Z   test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1273171Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1273390Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1273645Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1273920Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1274229Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1274604Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1274922Z [2022-11-23 01:25:47,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1275317Z [2022-11-23 01:25:47,738] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793> 
2022-11-23T01:32:30.1275418Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1275526Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T01:32:30.1275531Z 
2022-11-23T01:32:30.1275629Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1275723Z                6 BUILD_LIST               0
2022-11-23T01:32:30.1275820Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1275913Z               10 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.1276009Z               12 LOAD_CONST               1 (6)
2022-11-23T01:32:30.1276104Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:30.1276202Z               16 LOAD_CONST               3 (False)
2022-11-23T01:32:30.1276211Z 
2022-11-23T01:32:30.1276414Z 2795          18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:30.1276512Z               20 CALL_FUNCTION_KW         6
2022-11-23T01:32:30.1276518Z 
2022-11-23T01:32:30.1276614Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1276716Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T01:32:30.1276722Z 
2022-11-23T01:32:30.1276816Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1276901Z               28 BUILD_LIST               0
2022-11-23T01:32:30.1276994Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1277096Z               32 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.1277192Z               34 LOAD_CONST               1 (6)
2022-11-23T01:32:30.1277288Z               36 LOAD_CONST               2 (0)
2022-11-23T01:32:30.1277386Z               38 LOAD_CONST               3 (False)
2022-11-23T01:32:30.1277394Z 
2022-11-23T01:32:30.1277594Z 2798          40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:30.1277684Z               42 CALL_FUNCTION_KW         6
2022-11-23T01:32:30.1277697Z 
2022-11-23T01:32:30.1277784Z 2794          44 BUILD_TUPLE              2
2022-11-23T01:32:30.1277865Z               46 RETURN_VALUE
2022-11-23T01:32:30.1277932Z  
2022-11-23T01:32:30.1277937Z 
2022-11-23T01:32:30.1278249Z [2022-11-23 01:25:47,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:30.1278465Z [2022-11-23 01:25:47,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.1278773Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1279079Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796
2022-11-23T01:32:30.1279336Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T01:32:30.1279615Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T01:32:30.1279921Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1280258Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.1280627Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.1280999Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:32:30.1281442Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1281749Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:30.1282300Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.1282786Z [2022-11-23 01:25:47,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.1283093Z [2022-11-23 01:25:47,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:30.1283337Z [2022-11-23 01:25:47,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.1283665Z [2022-11-23 01:25:47,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1283966Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799
2022-11-23T01:32:30.1284246Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T01:32:30.1284548Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T01:32:30.1284875Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1285237Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.1285600Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.1285994Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:32:30.1286435Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1286738Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:30.1287288Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.1287809Z [2022-11-23 01:25:47,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.1288143Z [2022-11-23 01:25:47,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794
2022-11-23T01:32:30.1288411Z [2022-11-23 01:25:47,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1288656Z [2022-11-23 01:25:47,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1289027Z [2022-11-23 01:25:47,753] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793>
2022-11-23T01:32:30.1289272Z [2022-11-23 01:25:47,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1289498Z [2022-11-23 01:25:47,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1289758Z [2022-11-23 01:25:47,755] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1290007Z [2022-11-23 01:25:47,757] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1290198Z [2022-11-23 01:25:47,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1290337Z  __compiled_fn_172 <eval_with_key>.1079 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1290430Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1290704Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:30.1290985Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:30.1291099Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T01:32:30.1291115Z 
2022-11-23T01:32:30.1291429Z [2022-11-23 01:25:47,758] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1291531Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1291628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1291720Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1291836Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1291934Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1292050Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1292126Z              12 RETURN_VALUE
2022-11-23T01:32:30.1292137Z 
2022-11-23T01:32:30.1292195Z  
2022-11-23T01:32:30.1292518Z [2022-11-23 01:25:47,758] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1292632Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_172)
2022-11-23T01:32:30.1292730Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1292825Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1292907Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1293002Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1293105Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1293214Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1293309Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1293390Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1293498Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1293591Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1293714Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1293803Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.1293882Z              26 RETURN_VALUE
2022-11-23T01:32:30.1293888Z 
2022-11-23T01:32:30.1293978Z  
2022-11-23T01:32:30.1294164Z [2022-11-23 01:25:47,759] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1294241Z  - 
2022-11-23T01:32:30.1294364Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1294432Z             {
2022-11-23T01:32:30.1294569Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1294757Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1294880Z                 'obj_weakref': None
2022-11-23T01:32:30.1295105Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1295175Z             }
2022-11-23T01:32:30.1295244Z             
2022-11-23T01:32:30.1295320Z  - 
2022-11-23T01:32:30.1295442Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.1295510Z             {
2022-11-23T01:32:30.1295650Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.1295824Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.1296037Z                 'obj_weakref': <weakref at 0x7f2023355ad0; to 'Tensor' at 0x7f207277c0e0>
2022-11-23T01:32:30.1296287Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1296356Z             }
2022-11-23T01:32:30.1296417Z             
2022-11-23T01:32:30.1296492Z  - 
2022-11-23T01:32:30.1296620Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1296688Z             {
2022-11-23T01:32:30.1296833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1296943Z                 'code': None,
2022-11-23T01:32:30.1297146Z                 'obj_weakref': <weakref at 0x7f2023355ad0; to 'Tensor' at 0x7f207277c0e0>
2022-11-23T01:32:30.1297396Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1297457Z             }
2022-11-23T01:32:30.1297527Z             
2022-11-23T01:32:30.1297605Z  - 
2022-11-23T01:32:30.1297737Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1297805Z             {
2022-11-23T01:32:30.1297940Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1298106Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1298228Z                 'obj_weakref': None
2022-11-23T01:32:30.1298456Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1298526Z             }
2022-11-23T01:32:30.1298593Z             
2022-11-23T01:32:30.1298671Z  - 
2022-11-23T01:32:30.1299095Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1299160Z             {
2022-11-23T01:32:30.1299303Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1299527Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1299651Z                 'obj_weakref': None
2022-11-23T01:32:30.1299874Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1299944Z             }
2022-11-23T01:32:30.1300012Z             
2022-11-23T01:32:30.1300080Z  - 
2022-11-23T01:32:30.1300218Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1300285Z             {
2022-11-23T01:32:30.1300411Z                 'guard_types': None,
2022-11-23T01:32:30.1300521Z                 'code': None,
2022-11-23T01:32:30.1300643Z                 'obj_weakref': None
2022-11-23T01:32:30.1300767Z                 'guarded_class': None
2022-11-23T01:32:30.1300828Z             }
2022-11-23T01:32:30.1300894Z             
2022-11-23T01:32:30.1301153Z [2022-11-23 01:25:47,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165
2022-11-23T01:32:30.1301564Z [2022-11-23 01:25:49,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kx/ckxibphhaebgu6orsgx5474nnphip66bmpfokydmnx34n2333lhn.py
2022-11-23T01:32:30.1301864Z [2022-11-23 01:25:49,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165
2022-11-23T01:32:30.1301934Z 
2022-11-23T01:32:30.1302038Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1302113Z import torch
2022-11-23T01:32:30.1302186Z import random
2022-11-23T01:32:30.1302307Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1302441Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1302446Z 
2022-11-23T01:32:30.1302529Z aten = torch.ops.aten
2022-11-23T01:32:30.1302676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1302777Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1302782Z 
2022-11-23T01:32:30.1302856Z import triton
2022-11-23T01:32:30.1302952Z import triton.language as tl
2022-11-23T01:32:30.1303090Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1303237Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1303243Z 
2022-11-23T01:32:30.1303250Z 
2022-11-23T01:32:30.1303400Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1303632Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1303758Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1303868Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1303936Z {
2022-11-23T01:32:30.1304005Z     {
2022-11-23T01:32:30.1304066Z         {
2022-11-23T01:32:30.1304171Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:30.1304254Z             out_ptr0[0] = tmp0;
2022-11-23T01:32:30.1304322Z         }
2022-11-23T01:32:30.1304387Z     }
2022-11-23T01:32:30.1304453Z     {
2022-11-23T01:32:30.1304519Z         {
2022-11-23T01:32:30.1304618Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:30.1304702Z             out_ptr1[0] = tmp0;
2022-11-23T01:32:30.1304772Z         }
2022-11-23T01:32:30.1304840Z     }
2022-11-23T01:32:30.1304904Z }
2022-11-23T01:32:30.1304992Z ''')
2022-11-23T01:32:30.1304997Z 
2022-11-23T01:32:30.1305002Z 
2022-11-23T01:32:30.1305096Z async_compile.wait(globals())
2022-11-23T01:32:30.1305167Z del async_compile
2022-11-23T01:32:30.1305172Z 
2022-11-23T01:32:30.1305248Z def call(args):
2022-11-23T01:32:30.1305322Z     arg0_1, = args
2022-11-23T01:32:30.1305397Z     args.clear()
2022-11-23T01:32:30.1305584Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1305766Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1305907Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.1305982Z     return (buf0, buf1, )
2022-11-23T01:32:30.1305987Z 
2022-11-23T01:32:30.1306000Z 
2022-11-23T01:32:30.1306076Z if __name__ == "__main__":
2022-11-23T01:32:30.1306196Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1306324Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1306515Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1306631Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1306635Z 
2022-11-23T01:32:30.1306706Z ok (1.575s)
2022-11-23T01:32:30.1307018Z   test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1307330Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1307541Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1307822Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1308098Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1308435Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1308773Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1309092Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1309461Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342> 
2022-11-23T01:32:30.1309563Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1309677Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T01:32:30.1309766Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1309865Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.1309967Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:30.1310061Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1310204Z               12 LOAD_CONST               2 (-100)
2022-11-23T01:32:30.1310491Z               14 CALL_METHOD              5
2022-11-23T01:32:30.1310599Z               16 RETURN_VALUE
2022-11-23T01:32:30.1310670Z  
2022-11-23T01:32:30.1310676Z 
2022-11-23T01:32:30.1310982Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343
2022-11-23T01:32:30.1311202Z [2022-11-23 01:25:49,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.1311547Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1311838Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T01:32:30.1312132Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T01:32:30.1312453Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1312815Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.1313218Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.1313654Z [2022-11-23 01:25:49,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1313900Z [2022-11-23 01:25:49,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1314271Z [2022-11-23 01:25:49,323] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342>
2022-11-23T01:32:30.1314507Z [2022-11-23 01:25:49,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1314746Z [2022-11-23 01:25:49,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1315035Z [2022-11-23 01:25:49,324] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1315285Z [2022-11-23 01:25:49,328] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1315508Z [2022-11-23 01:25:49,328] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1315649Z  __compiled_fn_173 <eval_with_key>.1085 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1315743Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1315834Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.1316058Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T01:32:30.1316259Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T01:32:30.1316473Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T01:32:30.1316592Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.1316600Z 
2022-11-23T01:32:30.1316925Z [2022-11-23 01:25:49,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1317028Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1317125Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1317219Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1317317Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1317401Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1317494Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1317576Z              12 RETURN_VALUE
2022-11-23T01:32:30.1317581Z 
2022-11-23T01:32:30.1317646Z  
2022-11-23T01:32:30.1317967Z [2022-11-23 01:25:49,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1318085Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_173)
2022-11-23T01:32:30.1318180Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1318269Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1318354Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1318450Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1318543Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1318624Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.1318718Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.1318830Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1318938Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1319026Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1319107Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1319211Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1319303Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1325728Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1325844Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.1325926Z              32 RETURN_VALUE
2022-11-23T01:32:30.1325932Z 
2022-11-23T01:32:30.1325994Z  
2022-11-23T01:32:30.1326205Z [2022-11-23 01:25:49,329] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1326282Z  - 
2022-11-23T01:32:30.1326410Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1326481Z             {
2022-11-23T01:32:30.1326627Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1326815Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.1326933Z                 'obj_weakref': None
2022-11-23T01:32:30.1327159Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1327229Z             }
2022-11-23T01:32:30.1327297Z             
2022-11-23T01:32:30.1327376Z  - 
2022-11-23T01:32:30.1327557Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1327631Z             {
2022-11-23T01:32:30.1327770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1327882Z                 'code': None,
2022-11-23T01:32:30.1328121Z                 'obj_weakref': <weakref at 0x7f20727284a0; to 'Tensor' at 0x7f21276d4630>
2022-11-23T01:32:30.1328372Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1328443Z             }
2022-11-23T01:32:30.1328513Z             
2022-11-23T01:32:30.1328588Z  - 
2022-11-23T01:32:30.1328708Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.1328776Z             {
2022-11-23T01:32:30.1328922Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1329033Z                 'code': None,
2022-11-23T01:32:30.1329238Z                 'obj_weakref': <weakref at 0x7f207272a890; to 'Tensor' at 0x7f2060126e30>
2022-11-23T01:32:30.1329483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1329553Z             }
2022-11-23T01:32:30.1329615Z             
2022-11-23T01:32:30.1329693Z  - 
2022-11-23T01:32:30.1329831Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1329899Z             {
2022-11-23T01:32:30.1330040Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1330217Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1330340Z                 'obj_weakref': None
2022-11-23T01:32:30.1330564Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1330635Z             }
2022-11-23T01:32:30.1330705Z             
2022-11-23T01:32:30.1330783Z  - 
2022-11-23T01:32:30.1330911Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1330978Z             {
2022-11-23T01:32:30.1331119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1331334Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1331465Z                 'obj_weakref': None
2022-11-23T01:32:30.1331729Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1331804Z             }
2022-11-23T01:32:30.1331873Z             
2022-11-23T01:32:30.1331949Z  - 
2022-11-23T01:32:30.1332083Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1332145Z             {
2022-11-23T01:32:30.1332268Z                 'guard_types': None,
2022-11-23T01:32:30.1332382Z                 'code': None,
2022-11-23T01:32:30.1332504Z                 'obj_weakref': None
2022-11-23T01:32:30.1332629Z                 'guarded_class': None
2022-11-23T01:32:30.1332702Z             }
2022-11-23T01:32:30.1332764Z             
2022-11-23T01:32:30.1333029Z [2022-11-23 01:25:49,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166
2022-11-23T01:32:30.1333396Z [2022-11-23 01:25:50,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ed/cedgwvto7sjd7toukkov7gbkgjy7varrdx7njs2h6mapmgarkxtg.py
2022-11-23T01:32:30.1333663Z [2022-11-23 01:25:50,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166
2022-11-23T01:32:30.1333672Z 
2022-11-23T01:32:30.1333773Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1333851Z import torch
2022-11-23T01:32:30.1333926Z import random
2022-11-23T01:32:30.1334046Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1334165Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1334179Z 
2022-11-23T01:32:30.1334255Z aten = torch.ops.aten
2022-11-23T01:32:30.1334394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1334493Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1334498Z 
2022-11-23T01:32:30.1334572Z import triton
2022-11-23T01:32:30.1334667Z import triton.language as tl
2022-11-23T01:32:30.1334827Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1334971Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1334977Z 
2022-11-23T01:32:30.1334982Z 
2022-11-23T01:32:30.1335145Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1335349Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1335471Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.1335583Z                        const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.1335695Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.1335801Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1335869Z {
2022-11-23T01:32:30.1335961Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.1336021Z     {
2022-11-23T01:32:30.1336091Z         {
2022-11-23T01:32:30.1336175Z             float tmp3 = 0;
2022-11-23T01:32:30.1336265Z             for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.1336336Z             {
2022-11-23T01:32:30.1336405Z                 {
2022-11-23T01:32:30.1336506Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1336607Z                     auto tmp1 = in_ptr1[tmp0 + (5*i0)];
2022-11-23T01:32:30.1336739Z                     auto tmp2 = -tmp1;
2022-11-23T01:32:30.1336827Z                     tmp3 += tmp2;
2022-11-23T01:32:30.1336897Z                 }
2022-11-23T01:32:30.1336965Z             }
2022-11-23T01:32:30.1337050Z             out_ptr0[0] = tmp3;
2022-11-23T01:32:30.1337111Z         }
2022-11-23T01:32:30.1337178Z     }
2022-11-23T01:32:30.1337245Z     {
2022-11-23T01:32:30.1337312Z         {
2022-11-23T01:32:30.1337402Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.1337511Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:30.1337601Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.1337681Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:32:30.1337750Z         }
2022-11-23T01:32:30.1337816Z     }
2022-11-23T01:32:30.1337884Z     {
2022-11-23T01:32:30.1337952Z         {
2022-11-23T01:32:30.1338060Z             auto tmp0 = static_cast<float>(5.0);
2022-11-23T01:32:30.1338143Z             out_ptr1[0] = tmp0;
2022-11-23T01:32:30.1338207Z         }
2022-11-23T01:32:30.1338275Z     }
2022-11-23T01:32:30.1338338Z }
2022-11-23T01:32:30.1338430Z ''')
2022-11-23T01:32:30.1338436Z 
2022-11-23T01:32:30.1338440Z 
2022-11-23T01:32:30.1338534Z async_compile.wait(globals())
2022-11-23T01:32:30.1338611Z del async_compile
2022-11-23T01:32:30.1338616Z 
2022-11-23T01:32:30.1338692Z def call(args):
2022-11-23T01:32:30.1338766Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.1339059Z     args.clear()
2022-11-23T01:32:30.1339253Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1339345Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.1339528Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1339729Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.1339803Z     del arg0_1
2022-11-23T01:32:30.1339869Z     del arg1_1
2022-11-23T01:32:30.1339954Z     return (buf1, buf2, )
2022-11-23T01:32:30.1339959Z 
2022-11-23T01:32:30.1339963Z 
2022-11-23T01:32:30.1340045Z if __name__ == "__main__":
2022-11-23T01:32:30.1340166Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1340304Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1340526Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1340743Z     arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1340872Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.1340878Z 
2022-11-23T01:32:30.1340943Z ok (1.579s)
2022-11-23T01:32:30.1341393Z   test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:25:50,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1341710Z [2022-11-23 01:25:50,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1341963Z [2022-11-23 01:25:50,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1342216Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1342494Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1342812Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1343150Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1343474Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1343846Z [2022-11-23 01:25:50,909] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405> 
2022-11-23T01:32:30.1343941Z  2406           0 LOAD_FAST                0 (args)
2022-11-23T01:32:30.1344040Z                2 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1344126Z                4 BINARY_SUBSCR
2022-11-23T01:32:30.1344223Z                6 STORE_FAST               1 (x)
2022-11-23T01:32:30.1344229Z 
2022-11-23T01:32:30.1344331Z 2407           8 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:30.1344429Z               10 LOAD_DEREF               0 (n)
2022-11-23T01:32:30.1344527Z               12 CALL_FUNCTION            1
2022-11-23T01:32:30.1344604Z               14 GET_ITER
2022-11-23T01:32:30.1344698Z          >>   16 FOR_ITER                10 (to 38)
2022-11-23T01:32:30.1344793Z               18 STORE_FAST               2 (i)
2022-11-23T01:32:30.1344798Z 
2022-11-23T01:32:30.1344901Z 2408          20 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.1345001Z               22 LOAD_METHOD              2 (add)
2022-11-23T01:32:30.1345098Z               24 LOAD_FAST                1 (x)
2022-11-23T01:32:30.1345198Z               26 LOAD_FAST                0 (args)
2022-11-23T01:32:30.1345292Z               28 LOAD_FAST                2 (i)
2022-11-23T01:32:30.1345369Z               30 BINARY_SUBSCR
2022-11-23T01:32:30.1345465Z               32 CALL_METHOD              2
2022-11-23T01:32:30.1345559Z               34 STORE_FAST               1 (x)
2022-11-23T01:32:30.1345664Z               36 JUMP_ABSOLUTE            8 (to 16)
2022-11-23T01:32:30.1345669Z 
2022-11-23T01:32:30.1345764Z 2409     >>   38 LOAD_FAST                1 (x)
2022-11-23T01:32:30.1345849Z               40 RETURN_VALUE
2022-11-23T01:32:30.1345915Z  
2022-11-23T01:32:30.1345920Z 
2022-11-23T01:32:30.1346235Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2406
2022-11-23T01:32:30.1346446Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args []
2022-11-23T01:32:30.1346686Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.1346973Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1347213Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.1347522Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2407
2022-11-23T01:32:30.1347787Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range []
2022-11-23T01:32:30.1348039Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)]
2022-11-23T01:32:30.1348356Z [2022-11-23 01:25:50,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:30.1348600Z [2022-11-23 01:25:50,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()]
2022-11-23T01:32:30.1348854Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1349140Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1349453Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2408
2022-11-23T01:32:30.1349718Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1350122Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1350580Z [2022-11-23 01:25:50,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1350966Z [2022-11-23 01:25:50,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1351375Z [2022-11-23 01:25:50,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1351836Z [2022-11-23 01:25:50,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1352257Z [2022-11-23 01:25:50,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1352537Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1352800Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1353053Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1353338Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1353600Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1354002Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1354356Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1354743Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1355165Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1355610Z [2022-11-23 01:25:50,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1356036Z [2022-11-23 01:25:50,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1356310Z [2022-11-23 01:25:50,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1356567Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1356820Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1357108Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1357362Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1357761Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1358117Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1358501Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1358901Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1359358Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1359770Z [2022-11-23 01:25:50,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1360050Z [2022-11-23 01:25:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1360314Z [2022-11-23 01:25:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1360565Z [2022-11-23 01:25:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1360857Z [2022-11-23 01:25:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1361118Z [2022-11-23 01:25:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1361519Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1361866Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1362304Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1362749Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1363190Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1363596Z [2022-11-23 01:25:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1363873Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1364129Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1364381Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1364661Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1364917Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1365307Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1365656Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1366033Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1366423Z [2022-11-23 01:25:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1366869Z [2022-11-23 01:25:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1367274Z [2022-11-23 01:25:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1367551Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1367811Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1368056Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1368342Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1368605Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1369031Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1369386Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1369793Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1370197Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1370647Z [2022-11-23 01:25:50,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1371055Z [2022-11-23 01:25:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1371333Z [2022-11-23 01:25:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1371599Z [2022-11-23 01:25:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1371852Z [2022-11-23 01:25:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1372142Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1372405Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1372805Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1373160Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1373546Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1373944Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1374403Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1374815Z [2022-11-23 01:25:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1375094Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1375345Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1375592Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1375875Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1376156Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1376557Z [2022-11-23 01:25:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1376923Z [2022-11-23 01:25:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1377304Z [2022-11-23 01:25:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1377700Z [2022-11-23 01:25:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1378146Z [2022-11-23 01:25:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1378555Z [2022-11-23 01:25:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1379015Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1379277Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1379522Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1379807Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1380064Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1380457Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1380804Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1381180Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1381586Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1382032Z [2022-11-23 01:25:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1382439Z [2022-11-23 01:25:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1382714Z [2022-11-23 01:25:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1382974Z [2022-11-23 01:25:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1383264Z [2022-11-23 01:25:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1383541Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1383833Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1384228Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1384575Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1384950Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1385346Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1385793Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1386197Z [2022-11-23 01:25:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1386471Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1386730Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1386979Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1387267Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1387517Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1387906Z [2022-11-23 01:25:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1388255Z [2022-11-23 01:25:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1388631Z [2022-11-23 01:25:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1389025Z [2022-11-23 01:25:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1389470Z [2022-11-23 01:25:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1389871Z [2022-11-23 01:25:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1390181Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1390556Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1390858Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1391144Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1391406Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1391804Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1392154Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1392534Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1392934Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1393375Z [2022-11-23 01:25:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1393781Z [2022-11-23 01:25:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1394057Z [2022-11-23 01:25:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1394319Z [2022-11-23 01:25:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1394567Z [2022-11-23 01:25:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1394850Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1395106Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1395500Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1395855Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1396237Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1396623Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1397064Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1397508Z [2022-11-23 01:25:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1397787Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1398068Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1398314Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1398596Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1398858Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1399252Z [2022-11-23 01:25:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1399598Z [2022-11-23 01:25:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1399978Z [2022-11-23 01:25:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1400372Z [2022-11-23 01:25:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1400820Z [2022-11-23 01:25:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1401216Z [2022-11-23 01:25:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1401494Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1401751Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1401999Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1402284Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1402542Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1402932Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1403284Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1403659Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1404058Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1404544Z [2022-11-23 01:25:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1404974Z [2022-11-23 01:25:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1405250Z [2022-11-23 01:25:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1405498Z [2022-11-23 01:25:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1405746Z [2022-11-23 01:25:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1406040Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1406302Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1406701Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1407049Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1407422Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1407819Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1408262Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1408672Z [2022-11-23 01:25:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1408947Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1409204Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1409444Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1409729Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1409984Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1410375Z [2022-11-23 01:25:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1410722Z [2022-11-23 01:25:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1411095Z [2022-11-23 01:25:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1411516Z [2022-11-23 01:25:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1411978Z [2022-11-23 01:25:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1412380Z [2022-11-23 01:25:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1412658Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1412916Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1413165Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1413440Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1413705Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1414098Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1414444Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1414822Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1415216Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1415661Z [2022-11-23 01:25:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1416063Z [2022-11-23 01:25:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1416337Z [2022-11-23 01:25:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1416599Z [2022-11-23 01:25:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1416849Z [2022-11-23 01:25:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1417135Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1417385Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1417774Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1418121Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1418568Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1419169Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1419616Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1420017Z [2022-11-23 01:25:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1420299Z [2022-11-23 01:25:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1420556Z [2022-11-23 01:25:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1420809Z [2022-11-23 01:25:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1421093Z [2022-11-23 01:25:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1421354Z [2022-11-23 01:25:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1421755Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1422103Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1422487Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1422890Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1423329Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1423735Z [2022-11-23 01:25:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1424010Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1424269Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1424519Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1424801Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1425058Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1425491Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1425838Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1426241Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1426627Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1427073Z [2022-11-23 01:25:50,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1427473Z [2022-11-23 01:25:50,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1427751Z [2022-11-23 01:25:50,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1428007Z [2022-11-23 01:25:50,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1428254Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1428536Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1428793Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1429187Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1429539Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1429915Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1430404Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1430887Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1431283Z [2022-11-23 01:25:50,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1431558Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1431817Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1432067Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1432351Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1432641Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1433040Z [2022-11-23 01:25:50,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1433421Z [2022-11-23 01:25:50,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1433801Z [2022-11-23 01:25:50,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1434205Z [2022-11-23 01:25:50,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1434656Z [2022-11-23 01:25:50,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1435070Z [2022-11-23 01:25:50,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1435347Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1435596Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1435843Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1436135Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1436396Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1436799Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1437145Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1437517Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1437922Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1438372Z [2022-11-23 01:25:50,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1438784Z [2022-11-23 01:25:50,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1439057Z [2022-11-23 01:25:50,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1439313Z [2022-11-23 01:25:50,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1439585Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1439875Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1440160Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1440558Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1440904Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1441277Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1441678Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1442134Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1442539Z [2022-11-23 01:25:50,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1442814Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1443074Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1443321Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1443598Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1443855Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1444257Z [2022-11-23 01:25:50,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1444611Z [2022-11-23 01:25:50,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1444996Z [2022-11-23 01:25:50,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1445394Z [2022-11-23 01:25:50,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1445835Z [2022-11-23 01:25:50,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1446236Z [2022-11-23 01:25:50,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1446553Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1446815Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1447091Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1447375Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1447631Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1448021Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1448379Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1448759Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1449162Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1449611Z [2022-11-23 01:25:50,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1450023Z [2022-11-23 01:25:50,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1450305Z [2022-11-23 01:25:50,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1450566Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1450818Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1451107Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1451369Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1451771Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1452117Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1452505Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1452899Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1453341Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1453770Z [2022-11-23 01:25:50,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1454065Z [2022-11-23 01:25:50,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1454321Z [2022-11-23 01:25:50,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1454569Z [2022-11-23 01:25:50,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1454851Z [2022-11-23 01:25:50,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1455106Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1455497Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1455846Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1456220Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1456608Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1457054Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1457456Z [2022-11-23 01:25:50,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1457733Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1457988Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1458234Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1458516Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1458777Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1459351Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1459700Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1460078Z [2022-11-23 01:25:50,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1460473Z [2022-11-23 01:25:50,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1460959Z [2022-11-23 01:25:50,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1461455Z [2022-11-23 01:25:50,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1461807Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1462111Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1462395Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1462725Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1463021Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1463482Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1463888Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1464326Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1464794Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1465319Z [2022-11-23 01:25:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1465797Z [2022-11-23 01:25:50,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1466116Z [2022-11-23 01:25:50,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1466401Z [2022-11-23 01:25:50,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1466685Z [2022-11-23 01:25:50,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1467012Z [2022-11-23 01:25:50,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1467308Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1467768Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1468171Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1468638Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1469106Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1469653Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1470130Z [2022-11-23 01:25:50,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1470518Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1470802Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1471043Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1471330Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1471586Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1471977Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1472347Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1472748Z [2022-11-23 01:25:50,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1473143Z [2022-11-23 01:25:50,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1473588Z [2022-11-23 01:25:50,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1473990Z [2022-11-23 01:25:50,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1474269Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1474527Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1474776Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1475051Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1475312Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1475704Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1476075Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1476452Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1476867Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1477309Z [2022-11-23 01:25:50,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1477714Z [2022-11-23 01:25:50,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1477989Z [2022-11-23 01:25:50,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1478248Z [2022-11-23 01:25:50,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1478497Z [2022-11-23 01:25:50,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1478780Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1479036Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1479417Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1479767Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1480145Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1480537Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1480976Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1481382Z [2022-11-23 01:25:50,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1481659Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1481925Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1482176Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1482466Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1482726Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1483147Z [2022-11-23 01:25:50,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1483494Z [2022-11-23 01:25:50,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1483900Z [2022-11-23 01:25:50,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1484295Z [2022-11-23 01:25:50,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1484739Z [2022-11-23 01:25:50,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1485143Z [2022-11-23 01:25:50,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1485423Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1485677Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1485927Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1486209Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1486466Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1486856Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1487205Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1487579Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1487965Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1488409Z [2022-11-23 01:25:50,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1488812Z [2022-11-23 01:25:50,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1489087Z [2022-11-23 01:25:50,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1489345Z [2022-11-23 01:25:50,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1489592Z [2022-11-23 01:25:50,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1489899Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1490158Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1490549Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1490918Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1491298Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1491693Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1492133Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1492540Z [2022-11-23 01:25:50,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1492806Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1493062Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1493310Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1493595Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1493851Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1494242Z [2022-11-23 01:25:50,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1494591Z [2022-11-23 01:25:50,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1494963Z [2022-11-23 01:25:50,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1495356Z [2022-11-23 01:25:50,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1495797Z [2022-11-23 01:25:50,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1496197Z [2022-11-23 01:25:50,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1496475Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1496761Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1497010Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1497294Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1497577Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1497976Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1498321Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1498701Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1499283Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1499729Z [2022-11-23 01:25:50,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1500134Z [2022-11-23 01:25:50,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1500409Z [2022-11-23 01:25:50,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1500667Z [2022-11-23 01:25:50,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1500908Z [2022-11-23 01:25:50,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1501192Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1501451Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1501892Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1502241Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1502613Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1503017Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1503459Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1503860Z [2022-11-23 01:25:50,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1504179Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1504443Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1504723Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1504997Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1505256Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1505648Z [2022-11-23 01:25:50,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1505995Z [2022-11-23 01:25:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1506370Z [2022-11-23 01:25:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1506767Z [2022-11-23 01:25:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1507208Z [2022-11-23 01:25:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1507611Z [2022-11-23 01:25:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1507882Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1508142Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1508391Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1508674Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1508931Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1509317Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1509664Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1510041Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1510519Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1510991Z [2022-11-23 01:25:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1511398Z [2022-11-23 01:25:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1511708Z [2022-11-23 01:25:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1512008Z [2022-11-23 01:25:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1512259Z [2022-11-23 01:25:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1512548Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1512810Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1513212Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1513562Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1513946Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1514341Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1514782Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1515186Z [2022-11-23 01:25:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1515463Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1515717Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1515966Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1516249Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1516507Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1516903Z [2022-11-23 01:25:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1517263Z [2022-11-23 01:25:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1517648Z [2022-11-23 01:25:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1518064Z [2022-11-23 01:25:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1518509Z [2022-11-23 01:25:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1518936Z [2022-11-23 01:25:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1519212Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1519471Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1519719Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1520008Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1520266Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1520660Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1521004Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1521378Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1521774Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1522215Z [2022-11-23 01:25:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1522619Z [2022-11-23 01:25:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1522886Z [2022-11-23 01:25:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1523145Z [2022-11-23 01:25:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1523399Z [2022-11-23 01:25:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1523683Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1523942Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1524330Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1524677Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1525073Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1525467Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1525974Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1526373Z [2022-11-23 01:25:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1526649Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1526900Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1527145Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1527433Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1527694Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1528090Z [2022-11-23 01:25:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1528435Z [2022-11-23 01:25:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1528808Z [2022-11-23 01:25:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1529205Z [2022-11-23 01:25:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1529646Z [2022-11-23 01:25:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1530048Z [2022-11-23 01:25:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1530323Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1530577Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1530822Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1531104Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1531358Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1531769Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1532166Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1532538Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1532966Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1533408Z [2022-11-23 01:25:50,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1533820Z [2022-11-23 01:25:50,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1534096Z [2022-11-23 01:25:50,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1534354Z [2022-11-23 01:25:50,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1534600Z [2022-11-23 01:25:50,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1534880Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1535130Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:30.1535522Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1535866Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1536244Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1536636Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.1537076Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1537481Z [2022-11-23 01:25:50,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1537756Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1538010Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:30.1538260Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:30.1538567Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2409
2022-11-23T01:32:30.1538976Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.1539272Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1539650Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405>
2022-11-23T01:32:30.1539927Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1540164Z [2022-11-23 01:25:50,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1540418Z [2022-11-23 01:25:51,003] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1540669Z [2022-11-23 01:25:51,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1540862Z [2022-11-23 01:25:51,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1541002Z  __compiled_fn_174 <eval_with_key>.1091 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1541098Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1541184Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.1541277Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.1541371Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.1541461Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:30.1541550Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:30.1541639Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T01:32:30.1541731Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T01:32:30.1541813Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T01:32:30.1541903Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T01:32:30.1541995Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T01:32:30.1542087Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T01:32:30.1542178Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T01:32:30.1542268Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T01:32:30.1542358Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T01:32:30.1542443Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T01:32:30.1542532Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T01:32:30.1542623Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T01:32:30.1542713Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T01:32:30.1542804Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T01:32:30.1542893Z placeholder, ex_20_, ex_20_, (), {}
2022-11-23T01:32:30.1542975Z placeholder, ex_21_, ex_21_, (), {}
2022-11-23T01:32:30.1543064Z placeholder, ex_22_, ex_22_, (), {}
2022-11-23T01:32:30.1543154Z placeholder, ex_23_, ex_23_, (), {}
2022-11-23T01:32:30.1543243Z placeholder, ex_24_, ex_24_, (), {}
2022-11-23T01:32:30.1543332Z placeholder, ex_25_, ex_25_, (), {}
2022-11-23T01:32:30.1543421Z placeholder, ex_26_, ex_26_, (), {}
2022-11-23T01:32:30.1543511Z placeholder, ex_27_, ex_27_, (), {}
2022-11-23T01:32:30.1543594Z placeholder, ex_28_, ex_28_, (), {}
2022-11-23T01:32:30.1543683Z placeholder, ex_29_, ex_29_, (), {}
2022-11-23T01:32:30.1543777Z placeholder, ex_30_, ex_30_, (), {}
2022-11-23T01:32:30.1543869Z placeholder, ex_31_, ex_31_, (), {}
2022-11-23T01:32:30.1543960Z placeholder, ex_32_, ex_32_, (), {}
2022-11-23T01:32:30.1544049Z placeholder, ex_33_, ex_33_, (), {}
2022-11-23T01:32:30.1544139Z placeholder, ex_34_, ex_34_, (), {}
2022-11-23T01:32:30.1544225Z placeholder, ex_35_, ex_35_, (), {}
2022-11-23T01:32:30.1544313Z placeholder, ex_36_, ex_36_, (), {}
2022-11-23T01:32:30.1544403Z placeholder, ex_37_, ex_37_, (), {}
2022-11-23T01:32:30.1544493Z placeholder, ex_38_, ex_38_, (), {}
2022-11-23T01:32:30.1544582Z placeholder, ex_39_, ex_39_, (), {}
2022-11-23T01:32:30.1544672Z placeholder, ex_40_, ex_40_, (), {}
2022-11-23T01:32:30.1544761Z placeholder, ex_41_, ex_41_, (), {}
2022-11-23T01:32:30.1544844Z placeholder, ex_42_, ex_42_, (), {}
2022-11-23T01:32:30.1544935Z placeholder, ex_43_, ex_43_, (), {}
2022-11-23T01:32:30.1545023Z placeholder, ex_44_, ex_44_, (), {}
2022-11-23T01:32:30.1545112Z placeholder, ex_45_, ex_45_, (), {}
2022-11-23T01:32:30.1545202Z placeholder, ex_46_, ex_46_, (), {}
2022-11-23T01:32:30.1545334Z placeholder, ex_47_, ex_47_, (), {}
2022-11-23T01:32:30.1545425Z placeholder, ex_48_, ex_48_, (), {}
2022-11-23T01:32:30.1545508Z placeholder, ex_49_, ex_49_, (), {}
2022-11-23T01:32:30.1545766Z call_function, add, <built-in method add of type object at 0x7f209c394c60>, (ex_0_, ex_0_), {}
2022-11-23T01:32:30.1545996Z call_function, add_1, <built-in method add of type object at 0x7f209c394c60>, (add, ex_1_), {}
2022-11-23T01:32:30.1546227Z call_function, add_2, <built-in method add of type object at 0x7f209c394c60>, (add_1, ex_2_), {}
2022-11-23T01:32:30.1546454Z call_function, add_3, <built-in method add of type object at 0x7f209c394c60>, (add_2, ex_3_), {}
2022-11-23T01:32:30.1546681Z call_function, add_4, <built-in method add of type object at 0x7f209c394c60>, (add_3, ex_4_), {}
2022-11-23T01:32:30.1546907Z call_function, add_5, <built-in method add of type object at 0x7f209c394c60>, (add_4, ex_5_), {}
2022-11-23T01:32:30.1547127Z call_function, add_6, <built-in method add of type object at 0x7f209c394c60>, (add_5, ex_6_), {}
2022-11-23T01:32:30.1547345Z call_function, add_7, <built-in method add of type object at 0x7f209c394c60>, (add_6, ex_7_), {}
2022-11-23T01:32:30.1547577Z call_function, add_8, <built-in method add of type object at 0x7f209c394c60>, (add_7, ex_8_), {}
2022-11-23T01:32:30.1547803Z call_function, add_9, <built-in method add of type object at 0x7f209c394c60>, (add_8, ex_9_), {}
2022-11-23T01:32:30.1548037Z call_function, add_10, <built-in method add of type object at 0x7f209c394c60>, (add_9, ex_10_), {}
2022-11-23T01:32:30.1548272Z call_function, add_11, <built-in method add of type object at 0x7f209c394c60>, (add_10, ex_11_), {}
2022-11-23T01:32:30.1548500Z call_function, add_12, <built-in method add of type object at 0x7f209c394c60>, (add_11, ex_12_), {}
2022-11-23T01:32:30.1548725Z call_function, add_13, <built-in method add of type object at 0x7f209c394c60>, (add_12, ex_13_), {}
2022-11-23T01:32:30.1548953Z call_function, add_14, <built-in method add of type object at 0x7f209c394c60>, (add_13, ex_14_), {}
2022-11-23T01:32:30.1549186Z call_function, add_15, <built-in method add of type object at 0x7f209c394c60>, (add_14, ex_15_), {}
2022-11-23T01:32:30.1549404Z call_function, add_16, <built-in method add of type object at 0x7f209c394c60>, (add_15, ex_16_), {}
2022-11-23T01:32:30.1549631Z call_function, add_17, <built-in method add of type object at 0x7f209c394c60>, (add_16, ex_17_), {}
2022-11-23T01:32:30.1549854Z call_function, add_18, <built-in method add of type object at 0x7f209c394c60>, (add_17, ex_18_), {}
2022-11-23T01:32:30.1550077Z call_function, add_19, <built-in method add of type object at 0x7f209c394c60>, (add_18, ex_19_), {}
2022-11-23T01:32:30.1550376Z call_function, add_20, <built-in method add of type object at 0x7f209c394c60>, (add_19, ex_20_), {}
2022-11-23T01:32:30.1550637Z call_function, add_21, <built-in method add of type object at 0x7f209c394c60>, (add_20, ex_21_), {}
2022-11-23T01:32:30.1550867Z call_function, add_22, <built-in method add of type object at 0x7f209c394c60>, (add_21, ex_22_), {}
2022-11-23T01:32:30.1551095Z call_function, add_23, <built-in method add of type object at 0x7f209c394c60>, (add_22, ex_23_), {}
2022-11-23T01:32:30.1551321Z call_function, add_24, <built-in method add of type object at 0x7f209c394c60>, (add_23, ex_24_), {}
2022-11-23T01:32:30.1551547Z call_function, add_25, <built-in method add of type object at 0x7f209c394c60>, (add_24, ex_25_), {}
2022-11-23T01:32:30.1551771Z call_function, add_26, <built-in method add of type object at 0x7f209c394c60>, (add_25, ex_26_), {}
2022-11-23T01:32:30.1551995Z call_function, add_27, <built-in method add of type object at 0x7f209c394c60>, (add_26, ex_27_), {}
2022-11-23T01:32:30.1552219Z call_function, add_28, <built-in method add of type object at 0x7f209c394c60>, (add_27, ex_28_), {}
2022-11-23T01:32:30.1552442Z call_function, add_29, <built-in method add of type object at 0x7f209c394c60>, (add_28, ex_29_), {}
2022-11-23T01:32:30.1552697Z call_function, add_30, <built-in method add of type object at 0x7f209c394c60>, (add_29, ex_30_), {}
2022-11-23T01:32:30.1552926Z call_function, add_31, <built-in method add of type object at 0x7f209c394c60>, (add_30, ex_31_), {}
2022-11-23T01:32:30.1553176Z call_function, add_32, <built-in method add of type object at 0x7f209c394c60>, (add_31, ex_32_), {}
2022-11-23T01:32:30.1553399Z call_function, add_33, <built-in method add of type object at 0x7f209c394c60>, (add_32, ex_33_), {}
2022-11-23T01:32:30.1553615Z call_function, add_34, <built-in method add of type object at 0x7f209c394c60>, (add_33, ex_34_), {}
2022-11-23T01:32:30.1553840Z call_function, add_35, <built-in method add of type object at 0x7f209c394c60>, (add_34, ex_35_), {}
2022-11-23T01:32:30.1554062Z call_function, add_36, <built-in method add of type object at 0x7f209c394c60>, (add_35, ex_36_), {}
2022-11-23T01:32:30.1554285Z call_function, add_37, <built-in method add of type object at 0x7f209c394c60>, (add_36, ex_37_), {}
2022-11-23T01:32:30.1554510Z call_function, add_38, <built-in method add of type object at 0x7f209c394c60>, (add_37, ex_38_), {}
2022-11-23T01:32:30.1554731Z call_function, add_39, <built-in method add of type object at 0x7f209c394c60>, (add_38, ex_39_), {}
2022-11-23T01:32:30.1554960Z call_function, add_40, <built-in method add of type object at 0x7f209c394c60>, (add_39, ex_40_), {}
2022-11-23T01:32:30.1555183Z call_function, add_41, <built-in method add of type object at 0x7f209c394c60>, (add_40, ex_41_), {}
2022-11-23T01:32:30.1555406Z call_function, add_42, <built-in method add of type object at 0x7f209c394c60>, (add_41, ex_42_), {}
2022-11-23T01:32:30.1555622Z call_function, add_43, <built-in method add of type object at 0x7f209c394c60>, (add_42, ex_43_), {}
2022-11-23T01:32:30.1555847Z call_function, add_44, <built-in method add of type object at 0x7f209c394c60>, (add_43, ex_44_), {}
2022-11-23T01:32:30.1556074Z call_function, add_45, <built-in method add of type object at 0x7f209c394c60>, (add_44, ex_45_), {}
2022-11-23T01:32:30.1556301Z call_function, add_46, <built-in method add of type object at 0x7f209c394c60>, (add_45, ex_46_), {}
2022-11-23T01:32:30.1556522Z call_function, add_47, <built-in method add of type object at 0x7f209c394c60>, (add_46, ex_47_), {}
2022-11-23T01:32:30.1556747Z call_function, add_48, <built-in method add of type object at 0x7f209c394c60>, (add_47, ex_48_), {}
2022-11-23T01:32:30.1556969Z call_function, add_49, <built-in method add of type object at 0x7f209c394c60>, (add_48, ex_49_), {}
2022-11-23T01:32:30.1557072Z output, output, output, ((add_49,),), {}
2022-11-23T01:32:30.1557078Z 
2022-11-23T01:32:30.1557408Z [2022-11-23 01:25:51,039] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1557503Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1557601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1557696Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1557798Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1557890Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1557985Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1558070Z              12 RETURN_VALUE
2022-11-23T01:32:30.1558075Z 
2022-11-23T01:32:30.1558134Z  
2022-11-23T01:32:30.1558464Z [2022-11-23 01:25:51,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1558580Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_174)
2022-11-23T01:32:30.1558675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1558773Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1558856Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1558950Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1559044Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1559119Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.1559241Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1559335Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1559416Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.1559531Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1559625Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1559705Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.1559790Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1559886Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:30.1559966Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.1560058Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1560150Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:30.1560231Z              36 BINARY_SUBSCR
2022-11-23T01:32:30.1560322Z              38 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1560407Z              40 LOAD_CONST               7 (6)
2022-11-23T01:32:30.1560489Z              42 BINARY_SUBSCR
2022-11-23T01:32:30.1560582Z              44 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1560674Z              46 LOAD_CONST               8 (7)
2022-11-23T01:32:30.1560755Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.1560852Z              50 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1560945Z              52 LOAD_CONST               9 (8)
2022-11-23T01:32:30.1561018Z              54 BINARY_SUBSCR
2022-11-23T01:32:30.1561112Z              56 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1561205Z              58 LOAD_CONST              10 (9)
2022-11-23T01:32:30.1561283Z              60 BINARY_SUBSCR
2022-11-23T01:32:30.1561377Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1561470Z              64 LOAD_CONST              11 (10)
2022-11-23T01:32:30.1561549Z              66 BINARY_SUBSCR
2022-11-23T01:32:30.1561634Z              68 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1561727Z              70 LOAD_CONST              12 (11)
2022-11-23T01:32:30.1561809Z              72 BINARY_SUBSCR
2022-11-23T01:32:30.1561922Z              74 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1562019Z              76 LOAD_CONST              13 (12)
2022-11-23T01:32:30.1562120Z              78 BINARY_SUBSCR
2022-11-23T01:32:30.1562211Z              80 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1562296Z              82 LOAD_CONST              14 (13)
2022-11-23T01:32:30.1562375Z              84 BINARY_SUBSCR
2022-11-23T01:32:30.1562466Z              86 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1562559Z              88 LOAD_CONST              15 (14)
2022-11-23T01:32:30.1562640Z              90 BINARY_SUBSCR
2022-11-23T01:32:30.1562731Z              92 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1562823Z              94 LOAD_CONST              16 (15)
2022-11-23T01:32:30.1562896Z              96 BINARY_SUBSCR
2022-11-23T01:32:30.1562987Z              98 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1563083Z             100 LOAD_CONST              17 (16)
2022-11-23T01:32:30.1563161Z             102 BINARY_SUBSCR
2022-11-23T01:32:30.1563253Z             104 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1563344Z             106 LOAD_CONST              18 (17)
2022-11-23T01:32:30.1563429Z             108 BINARY_SUBSCR
2022-11-23T01:32:30.1563512Z             110 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1563605Z             112 LOAD_CONST              19 (18)
2022-11-23T01:32:30.1563689Z             114 BINARY_SUBSCR
2022-11-23T01:32:30.1563779Z             116 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1563871Z             118 LOAD_CONST              20 (19)
2022-11-23T01:32:30.1563951Z             120 BINARY_SUBSCR
2022-11-23T01:32:30.1564042Z             122 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1564128Z             124 LOAD_CONST              21 (20)
2022-11-23T01:32:30.1564208Z             126 BINARY_SUBSCR
2022-11-23T01:32:30.1564299Z             128 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1564419Z             130 LOAD_CONST              22 (21)
2022-11-23T01:32:30.1564500Z             132 BINARY_SUBSCR
2022-11-23T01:32:30.1564591Z             134 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1564713Z             136 LOAD_CONST              23 (22)
2022-11-23T01:32:30.1564786Z             138 BINARY_SUBSCR
2022-11-23T01:32:30.1564877Z             140 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1564969Z             142 LOAD_CONST              24 (23)
2022-11-23T01:32:30.1565055Z             144 BINARY_SUBSCR
2022-11-23T01:32:30.1565147Z             146 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1565240Z             148 LOAD_CONST              25 (24)
2022-11-23T01:32:30.1565320Z             150 BINARY_SUBSCR
2022-11-23T01:32:30.1565404Z             152 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1565496Z             154 LOAD_CONST              26 (25)
2022-11-23T01:32:30.1565577Z             156 BINARY_SUBSCR
2022-11-23T01:32:30.1565670Z             158 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1565760Z             160 LOAD_CONST              27 (26)
2022-11-23T01:32:30.1565840Z             162 BINARY_SUBSCR
2022-11-23T01:32:30.1565930Z             164 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1566018Z             166 LOAD_CONST              28 (27)
2022-11-23T01:32:30.1566099Z             168 BINARY_SUBSCR
2022-11-23T01:32:30.1566190Z             170 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1566281Z             172 LOAD_CONST              29 (28)
2022-11-23T01:32:30.1566362Z             174 BINARY_SUBSCR
2022-11-23T01:32:30.1566453Z             176 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1566544Z             178 LOAD_CONST              30 (29)
2022-11-23T01:32:30.1566618Z             180 BINARY_SUBSCR
2022-11-23T01:32:30.1566708Z             182 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1566801Z             184 LOAD_CONST              31 (30)
2022-11-23T01:32:30.1566882Z             186 BINARY_SUBSCR
2022-11-23T01:32:30.1566978Z             188 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1567071Z             190 LOAD_CONST              32 (31)
2022-11-23T01:32:30.1567152Z             192 BINARY_SUBSCR
2022-11-23T01:32:30.1567239Z             194 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1567330Z             196 LOAD_CONST              33 (32)
2022-11-23T01:32:30.1567411Z             198 BINARY_SUBSCR
2022-11-23T01:32:30.1567502Z             200 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1567594Z             202 LOAD_CONST              34 (33)
2022-11-23T01:32:30.1567675Z             204 BINARY_SUBSCR
2022-11-23T01:32:30.1567765Z             206 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1567849Z             208 LOAD_CONST              35 (34)
2022-11-23T01:32:30.1567930Z             210 BINARY_SUBSCR
2022-11-23T01:32:30.1568022Z             212 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1568113Z             214 LOAD_CONST              36 (35)
2022-11-23T01:32:30.1568197Z             216 BINARY_SUBSCR
2022-11-23T01:32:30.1568287Z             218 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1568379Z             220 LOAD_CONST              37 (36)
2022-11-23T01:32:30.1568463Z             222 BINARY_SUBSCR
2022-11-23T01:32:30.1568547Z             224 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1568638Z             226 LOAD_CONST              38 (37)
2022-11-23T01:32:30.1568718Z             228 BINARY_SUBSCR
2022-11-23T01:32:30.1568809Z             230 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1568901Z             232 LOAD_CONST              39 (38)
2022-11-23T01:32:30.1568981Z             234 BINARY_SUBSCR
2022-11-23T01:32:30.1569074Z             236 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1569159Z             238 LOAD_CONST              40 (39)
2022-11-23T01:32:30.1569242Z             240 BINARY_SUBSCR
2022-11-23T01:32:30.1569333Z             242 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1569453Z             244 LOAD_CONST              41 (40)
2022-11-23T01:32:30.1569537Z             246 BINARY_SUBSCR
2022-11-23T01:32:30.1569626Z             248 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1569718Z             250 LOAD_CONST              42 (41)
2022-11-23T01:32:30.1569816Z             252 BINARY_SUBSCR
2022-11-23T01:32:30.1569908Z             254 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1569999Z             256 LOAD_CONST              43 (42)
2022-11-23T01:32:30.1570079Z             258 BINARY_SUBSCR
2022-11-23T01:32:30.1570169Z             260 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1570261Z             262 LOAD_CONST              44 (43)
2022-11-23T01:32:30.1570341Z             264 BINARY_SUBSCR
2022-11-23T01:32:30.1570425Z             266 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1570516Z             268 LOAD_CONST              45 (44)
2022-11-23T01:32:30.1570598Z             270 BINARY_SUBSCR
2022-11-23T01:32:30.1570689Z             272 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1570783Z             274 LOAD_CONST              46 (45)
2022-11-23T01:32:30.1570865Z             276 BINARY_SUBSCR
2022-11-23T01:32:30.1570956Z             278 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1571043Z             280 LOAD_CONST              47 (46)
2022-11-23T01:32:30.1571123Z             282 BINARY_SUBSCR
2022-11-23T01:32:30.1571214Z             284 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1571306Z             286 LOAD_CONST              48 (47)
2022-11-23T01:32:30.1571386Z             288 BINARY_SUBSCR
2022-11-23T01:32:30.1571478Z             290 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1571570Z             292 LOAD_CONST              49 (48)
2022-11-23T01:32:30.1571644Z             294 BINARY_SUBSCR
2022-11-23T01:32:30.1571758Z             296 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1571855Z             298 LOAD_CONST              50 (49)
2022-11-23T01:32:30.1571954Z             300 BINARY_SUBSCR
2022-11-23T01:32:30.1572050Z             302 CALL_FUNCTION           50
2022-11-23T01:32:30.1572166Z             304 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1572302Z             306 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.1572405Z             308 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.1572503Z             310 CALL_FUNCTION            0
2022-11-23T01:32:30.1572605Z             312 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.1572714Z             314 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1572808Z             316 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1572888Z             318 BINARY_SUBSCR
2022-11-23T01:32:30.1572987Z             320 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1573086Z             322 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.1573180Z             324 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1573260Z             326 BINARY_SUBSCR
2022-11-23T01:32:30.1573372Z             328 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.1573472Z             330 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1573575Z             332 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.1573673Z             334 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1573755Z             336 BINARY_SUBSCR
2022-11-23T01:32:30.1573855Z             338 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.1573936Z             340 RETURN_VALUE
2022-11-23T01:32:30.1573942Z 
2022-11-23T01:32:30.1574007Z  
2022-11-23T01:32:30.1574200Z [2022-11-23 01:25:51,042] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1574277Z  - 
2022-11-23T01:32:30.1574400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1574470Z             {
2022-11-23T01:32:30.1574606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1574799Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 50'],
2022-11-23T01:32:30.1574953Z                 'obj_weakref': None
2022-11-23T01:32:30.1575179Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1575248Z             }
2022-11-23T01:32:30.1575341Z             
2022-11-23T01:32:30.1575417Z  - 
2022-11-23T01:32:30.1575538Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1575608Z             {
2022-11-23T01:32:30.1575755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1575867Z                 'code': None,
2022-11-23T01:32:30.1576079Z                 'obj_weakref': <weakref at 0x7f2115a89d50; to 'Tensor' at 0x7f21279db510>
2022-11-23T01:32:30.1576327Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1576395Z             }
2022-11-23T01:32:30.1576456Z             
2022-11-23T01:32:30.1576532Z  - 
2022-11-23T01:32:30.1576660Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.1576729Z             {
2022-11-23T01:32:30.1576877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1576987Z                 'code': None,
2022-11-23T01:32:30.1577192Z                 'obj_weakref': <weakref at 0x7f20232293f0; to 'Tensor' at 0x7f20601c2bb0>
2022-11-23T01:32:30.1577435Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1577504Z             }
2022-11-23T01:32:30.1577572Z             
2022-11-23T01:32:30.1577647Z  - 
2022-11-23T01:32:30.1577773Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.1577842Z             {
2022-11-23T01:32:30.1577984Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1578087Z                 'code': None,
2022-11-23T01:32:30.1578292Z                 'obj_weakref': <weakref at 0x7f2023338bd0; to 'Tensor' at 0x7f2127a0f150>
2022-11-23T01:32:30.1578532Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1578603Z             }
2022-11-23T01:32:30.1578671Z             
2022-11-23T01:32:30.1578746Z  - 
2022-11-23T01:32:30.1579063Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.1579128Z             {
2022-11-23T01:32:30.1579271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1579381Z                 'code': None,
2022-11-23T01:32:30.1579584Z                 'obj_weakref': <weakref at 0x7f2023354ea0; to 'Tensor' at 0x7f2115e27970>
2022-11-23T01:32:30.1579821Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1579893Z             }
2022-11-23T01:32:30.1579963Z             
2022-11-23T01:32:30.1580030Z  - 
2022-11-23T01:32:30.1580156Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:30.1580223Z             {
2022-11-23T01:32:30.1580365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1580476Z                 'code': None,
2022-11-23T01:32:30.1580680Z                 'obj_weakref': <weakref at 0x7f2023356200; to 'Tensor' at 0x7f201e384e00>
2022-11-23T01:32:30.1580914Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1580980Z             }
2022-11-23T01:32:30.1581048Z             
2022-11-23T01:32:30.1581127Z  - 
2022-11-23T01:32:30.1581252Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:30.1581321Z             {
2022-11-23T01:32:30.1581468Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1581579Z                 'code': None,
2022-11-23T01:32:30.1581775Z                 'obj_weakref': <weakref at 0x7f2023356d90; to 'Tensor' at 0x7f2128551d50>
2022-11-23T01:32:30.1582013Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1582082Z             }
2022-11-23T01:32:30.1582151Z             
2022-11-23T01:32:30.1582226Z  - 
2022-11-23T01:32:30.1582396Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T01:32:30.1582467Z             {
2022-11-23T01:32:30.1582606Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1582717Z                 'code': None,
2022-11-23T01:32:30.1582952Z                 'obj_weakref': <weakref at 0x7f2023356d40; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1583190Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1583259Z             }
2022-11-23T01:32:30.1583326Z             
2022-11-23T01:32:30.1583401Z  - 
2022-11-23T01:32:30.1583519Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T01:32:30.1583590Z             {
2022-11-23T01:32:30.1583735Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1583849Z                 'code': None,
2022-11-23T01:32:30.1584059Z                 'obj_weakref': <weakref at 0x7f2023354180; to 'Tensor' at 0x7f201e3d5a30>
2022-11-23T01:32:30.1584300Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1584370Z             }
2022-11-23T01:32:30.1584431Z             
2022-11-23T01:32:30.1584505Z  - 
2022-11-23T01:32:30.1584638Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T01:32:30.1584706Z             {
2022-11-23T01:32:30.1584851Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1584961Z                 'code': None,
2022-11-23T01:32:30.1585165Z                 'obj_weakref': <weakref at 0x7f2115a885e0; to 'Tensor' at 0x7f2060127290>
2022-11-23T01:32:30.1585409Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1585477Z             }
2022-11-23T01:32:30.1585545Z             
2022-11-23T01:32:30.1585621Z  - 
2022-11-23T01:32:30.1585749Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T01:32:30.1585820Z             {
2022-11-23T01:32:30.1585966Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1586073Z                 'code': None,
2022-11-23T01:32:30.1586276Z                 'obj_weakref': <weakref at 0x7f2060125670; to 'Tensor' at 0x7f20601258f0>
2022-11-23T01:32:30.1586521Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1586595Z             }
2022-11-23T01:32:30.1586664Z             
2022-11-23T01:32:30.1586740Z  - 
2022-11-23T01:32:30.1586875Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1586936Z             {
2022-11-23T01:32:30.1587075Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1587253Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1587378Z                 'obj_weakref': None
2022-11-23T01:32:30.1587611Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1587681Z             }
2022-11-23T01:32:30.1587748Z             
2022-11-23T01:32:30.1587816Z  - 
2022-11-23T01:32:30.1587949Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T01:32:30.1588018Z             {
2022-11-23T01:32:30.1588165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1588285Z                 'code': None,
2022-11-23T01:32:30.1588489Z                 'obj_weakref': <weakref at 0x7f20601edfd0; to 'Tensor' at 0x7f2060126e30>
2022-11-23T01:32:30.1588734Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1588794Z             }
2022-11-23T01:32:30.1588862Z             
2022-11-23T01:32:30.1588937Z  - 
2022-11-23T01:32:30.1589066Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T01:32:30.1589135Z             {
2022-11-23T01:32:30.1589279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1589390Z                 'code': None,
2022-11-23T01:32:30.1589586Z                 'obj_weakref': <weakref at 0x7f2068052f20; to 'Tensor' at 0x7f20601243b0>
2022-11-23T01:32:30.1589872Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1589943Z             }
2022-11-23T01:32:30.1590011Z             
2022-11-23T01:32:30.1590110Z  - 
2022-11-23T01:32:30.1590238Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T01:32:30.1590381Z             {
2022-11-23T01:32:30.1590541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1590672Z                 'code': None,
2022-11-23T01:32:30.1590901Z                 'obj_weakref': <weakref at 0x7f202322a0c0; to 'Tensor' at 0x7f2060125990>
2022-11-23T01:32:30.1591143Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1591210Z             }
2022-11-23T01:32:30.1591281Z             
2022-11-23T01:32:30.1591357Z  - 
2022-11-23T01:32:30.1591486Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T01:32:30.1591571Z             {
2022-11-23T01:32:30.1591742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1591860Z                 'code': None,
2022-11-23T01:32:30.1592062Z                 'obj_weakref': <weakref at 0x7f20232297b0; to 'Tensor' at 0x7f2060124a40>
2022-11-23T01:32:30.1592305Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1592375Z             }
2022-11-23T01:32:30.1592436Z             
2022-11-23T01:32:30.1592513Z  - 
2022-11-23T01:32:30.1592640Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T01:32:30.1592708Z             {
2022-11-23T01:32:30.1592855Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1592965Z                 'code': None,
2022-11-23T01:32:30.1593175Z                 'obj_weakref': <weakref at 0x7f2023228180; to 'Tensor' at 0x7f2060127f60>
2022-11-23T01:32:30.1593408Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1593476Z             }
2022-11-23T01:32:30.1593547Z             
2022-11-23T01:32:30.1593622Z  - 
2022-11-23T01:32:30.1593752Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T01:32:30.1593819Z             {
2022-11-23T01:32:30.1593968Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1594072Z                 'code': None,
2022-11-23T01:32:30.1594281Z                 'obj_weakref': <weakref at 0x7f202322bab0; to 'Tensor' at 0x7f2060125210>
2022-11-23T01:32:30.1594529Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1594598Z             }
2022-11-23T01:32:30.1594665Z             
2022-11-23T01:32:30.1594740Z  - 
2022-11-23T01:32:30.1594868Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T01:32:30.1594929Z             {
2022-11-23T01:32:30.1595073Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1595185Z                 'code': None,
2022-11-23T01:32:30.1595394Z                 'obj_weakref': <weakref at 0x7f202322b880; to 'Tensor' at 0x7f2060124ef0>
2022-11-23T01:32:30.1595636Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1595708Z             }
2022-11-23T01:32:30.1595776Z             
2022-11-23T01:32:30.1595844Z  - 
2022-11-23T01:32:30.1595970Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T01:32:30.1596039Z             {
2022-11-23T01:32:30.1596184Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1596296Z                 'code': None,
2022-11-23T01:32:30.1596500Z                 'obj_weakref': <weakref at 0x7f2023229f80; to 'Tensor' at 0x7f207277dd00>
2022-11-23T01:32:30.1596740Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1596808Z             }
2022-11-23T01:32:30.1596868Z             
2022-11-23T01:32:30.1596942Z  - 
2022-11-23T01:32:30.1597074Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T01:32:30.1597179Z             {
2022-11-23T01:32:30.1597324Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1597435Z                 'code': None,
2022-11-23T01:32:30.1597629Z                 'obj_weakref': <weakref at 0x7f2023229300; to 'Tensor' at 0x7f207277fc90>
2022-11-23T01:32:30.1597896Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1597965Z             }
2022-11-23T01:32:30.1598034Z             
2022-11-23T01:32:30.1598109Z  - 
2022-11-23T01:32:30.1598238Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T01:32:30.1598307Z             {
2022-11-23T01:32:30.1598443Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1598554Z                 'code': None,
2022-11-23T01:32:30.1598754Z                 'obj_weakref': <weakref at 0x7f2023229580; to 'Tensor' at 0x7f207277c7c0>
2022-11-23T01:32:30.1598996Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1599064Z             }
2022-11-23T01:32:30.1599130Z             
2022-11-23T01:32:30.1599204Z  - 
2022-11-23T01:32:30.1599324Z             local 'ex[20]' TENSOR_MATCH
2022-11-23T01:32:30.1599396Z             {
2022-11-23T01:32:30.1599539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1599651Z                 'code': None,
2022-11-23T01:32:30.1599853Z                 'obj_weakref': <weakref at 0x7f202322b8d0; to 'Tensor' at 0x7f207277cb30>
2022-11-23T01:32:30.1600092Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1600159Z             }
2022-11-23T01:32:30.1600226Z             
2022-11-23T01:32:30.1600293Z  - 
2022-11-23T01:32:30.1600421Z             local 'ex[21]' TENSOR_MATCH
2022-11-23T01:32:30.1600488Z             {
2022-11-23T01:32:30.1600635Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1600746Z                 'code': None,
2022-11-23T01:32:30.1600954Z                 'obj_weakref': <weakref at 0x7f20232284a0; to 'Tensor' at 0x7f207277c040>
2022-11-23T01:32:30.1601191Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1601256Z             }
2022-11-23T01:32:30.1601322Z             
2022-11-23T01:32:30.1601402Z  - 
2022-11-23T01:32:30.1601528Z             local 'ex[22]' TENSOR_MATCH
2022-11-23T01:32:30.1601596Z             {
2022-11-23T01:32:30.1601742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1601861Z                 'code': None,
2022-11-23T01:32:30.1602095Z                 'obj_weakref': <weakref at 0x7f2023228900; to 'Tensor' at 0x7f207277eb60>
2022-11-23T01:32:30.1602335Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1602402Z             }
2022-11-23T01:32:30.1602470Z             
2022-11-23T01:32:30.1602545Z  - 
2022-11-23T01:32:30.1602674Z             local 'ex[23]' TENSOR_MATCH
2022-11-23T01:32:30.1602741Z             {
2022-11-23T01:32:30.1602880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1602995Z                 'code': None,
2022-11-23T01:32:30.1603200Z                 'obj_weakref': <weakref at 0x7f202322a020; to 'Tensor' at 0x7f207277eac0>
2022-11-23T01:32:30.1603437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1603506Z             }
2022-11-23T01:32:30.1603573Z             
2022-11-23T01:32:30.1603647Z  - 
2022-11-23T01:32:30.1603768Z             local 'ex[24]' TENSOR_MATCH
2022-11-23T01:32:30.1603836Z             {
2022-11-23T01:32:30.1603982Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1604094Z                 'code': None,
2022-11-23T01:32:30.1604296Z                 'obj_weakref': <weakref at 0x7f2023228360; to 'Tensor' at 0x7f207277d670>
2022-11-23T01:32:30.1604579Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1604650Z             }
2022-11-23T01:32:30.1604710Z             
2022-11-23T01:32:30.1604807Z  - 
2022-11-23T01:32:30.1604935Z             local 'ex[25]' TENSOR_MATCH
2022-11-23T01:32:30.1605002Z             {
2022-11-23T01:32:30.1605149Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1605260Z                 'code': None,
2022-11-23T01:32:30.1605463Z                 'obj_weakref': <weakref at 0x7f20232293a0; to 'Tensor' at 0x7f207272b4c0>
2022-11-23T01:32:30.1605700Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1605766Z             }
2022-11-23T01:32:30.1605834Z             
2022-11-23T01:32:30.1605908Z  - 
2022-11-23T01:32:30.1606037Z             local 'ex[26]' TENSOR_MATCH
2022-11-23T01:32:30.1606103Z             {
2022-11-23T01:32:30.1606251Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1606355Z                 'code': None,
2022-11-23T01:32:30.1606558Z                 'obj_weakref': <weakref at 0x7f2023228400; to 'Tensor' at 0x7f207272ba10>
2022-11-23T01:32:30.1606808Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1606878Z             }
2022-11-23T01:32:30.1606945Z             
2022-11-23T01:32:30.1607021Z  - 
2022-11-23T01:32:30.1607148Z             local 'ex[27]' TENSOR_MATCH
2022-11-23T01:32:30.1607209Z             {
2022-11-23T01:32:30.1607354Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1607465Z                 'code': None,
2022-11-23T01:32:30.1607667Z                 'obj_weakref': <weakref at 0x7f202322a8e0; to 'Tensor' at 0x7f207272b060>
2022-11-23T01:32:30.1607906Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1607972Z             }
2022-11-23T01:32:30.1608043Z             
2022-11-23T01:32:30.1608110Z  - 
2022-11-23T01:32:30.1608239Z             local 'ex[28]' TENSOR_MATCH
2022-11-23T01:32:30.1608307Z             {
2022-11-23T01:32:30.1608457Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1608567Z                 'code': None,
2022-11-23T01:32:30.1608769Z                 'obj_weakref': <weakref at 0x7f2023229490; to 'Tensor' at 0x7f2072729a30>
2022-11-23T01:32:30.1609012Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1609073Z             }
2022-11-23T01:32:30.1609140Z             
2022-11-23T01:32:30.1609215Z  - 
2022-11-23T01:32:30.1609344Z             local 'ex[29]' TENSOR_MATCH
2022-11-23T01:32:30.1609411Z             {
2022-11-23T01:32:30.1609556Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1609667Z                 'code': None,
2022-11-23T01:32:30.1609863Z                 'obj_weakref': <weakref at 0x7f2023379260; to 'Tensor' at 0x7f207272b790>
2022-11-23T01:32:30.1610102Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1610178Z             }
2022-11-23T01:32:30.1610248Z             
2022-11-23T01:32:30.1610323Z  - 
2022-11-23T01:32:30.1610451Z             local 'ex[30]' TENSOR_MATCH
2022-11-23T01:32:30.1610522Z             {
2022-11-23T01:32:30.1610660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1610772Z                 'code': None,
2022-11-23T01:32:30.1610973Z                 'obj_weakref': <weakref at 0x7f202337abb0; to 'Tensor' at 0x7f2068050180>
2022-11-23T01:32:30.1611212Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1611280Z             }
2022-11-23T01:32:30.1611348Z             
2022-11-23T01:32:30.1611422Z  - 
2022-11-23T01:32:30.1611543Z             local 'ex[31]' TENSOR_MATCH
2022-11-23T01:32:30.1611658Z             {
2022-11-23T01:32:30.1611830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1611958Z                 'code': None,
2022-11-23T01:32:30.1612161Z                 'obj_weakref': <weakref at 0x7f2023379d00; to 'Tensor' at 0x7f2068052610>
2022-11-23T01:32:30.1612423Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1612491Z             }
2022-11-23T01:32:30.1612551Z             
2022-11-23T01:32:30.1612627Z  - 
2022-11-23T01:32:30.1612754Z             local 'ex[32]' TENSOR_MATCH
2022-11-23T01:32:30.1612823Z             {
2022-11-23T01:32:30.1612969Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1613081Z                 'code': None,
2022-11-23T01:32:30.1613285Z                 'obj_weakref': <weakref at 0x7f2023378630; to 'Tensor' at 0x7f2068051fd0>
2022-11-23T01:32:30.1613519Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1613589Z             }
2022-11-23T01:32:30.1613656Z             
2022-11-23T01:32:30.1613731Z  - 
2022-11-23T01:32:30.1613859Z             local 'ex[33]' TENSOR_MATCH
2022-11-23T01:32:30.1613933Z             {
2022-11-23T01:32:30.1614082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1614186Z                 'code': None,
2022-11-23T01:32:30.1614394Z                 'obj_weakref': <weakref at 0x7f202337af20; to 'Tensor' at 0x7f2068051ee0>
2022-11-23T01:32:30.1614637Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1614707Z             }
2022-11-23T01:32:30.1614776Z             
2022-11-23T01:32:30.1614851Z  - 
2022-11-23T01:32:30.1614979Z             local 'ex[34]' TENSOR_MATCH
2022-11-23T01:32:30.1615040Z             {
2022-11-23T01:32:30.1615184Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1615297Z                 'code': None,
2022-11-23T01:32:30.1615503Z                 'obj_weakref': <weakref at 0x7f20233789f0; to 'Tensor' at 0x7f20680530b0>
2022-11-23T01:32:30.1615747Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1615820Z             }
2022-11-23T01:32:30.1615888Z             
2022-11-23T01:32:30.1615956Z  - 
2022-11-23T01:32:30.1616085Z             local 'ex[35]' TENSOR_MATCH
2022-11-23T01:32:30.1616152Z             {
2022-11-23T01:32:30.1616299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1616412Z                 'code': None,
2022-11-23T01:32:30.1616615Z                 'obj_weakref': <weakref at 0x7f202337aca0; to 'Tensor' at 0x7f2068051580>
2022-11-23T01:32:30.1616855Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1616916Z             }
2022-11-23T01:32:30.1616984Z             
2022-11-23T01:32:30.1617059Z  - 
2022-11-23T01:32:30.1617188Z             local 'ex[36]' TENSOR_MATCH
2022-11-23T01:32:30.1617259Z             {
2022-11-23T01:32:30.1617406Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1617519Z                 'code': None,
2022-11-23T01:32:30.1617713Z                 'obj_weakref': <weakref at 0x7f2023378ef0; to 'Tensor' at 0x7f2068053830>
2022-11-23T01:32:30.1617951Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1618018Z             }
2022-11-23T01:32:30.1618090Z             
2022-11-23T01:32:30.1618165Z  - 
2022-11-23T01:32:30.1618293Z             local 'ex[37]' TENSOR_MATCH
2022-11-23T01:32:30.1618360Z             {
2022-11-23T01:32:30.1618496Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1618609Z                 'code': None,
2022-11-23T01:32:30.1618999Z                 'obj_weakref': <weakref at 0x7f202337a660; to 'Tensor' at 0x7f2068052cf0>
2022-11-23T01:32:30.1619291Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1619366Z             }
2022-11-23T01:32:30.1619434Z             
2022-11-23T01:32:30.1619543Z  - 
2022-11-23T01:32:30.1619665Z             local 'ex[38]' TENSOR_MATCH
2022-11-23T01:32:30.1619736Z             {
2022-11-23T01:32:30.1619880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1619992Z                 'code': None,
2022-11-23T01:32:30.1620197Z                 'obj_weakref': <weakref at 0x7f20233ca5c0; to 'Tensor' at 0x7f2115a8bab0>
2022-11-23T01:32:30.1620435Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1620505Z             }
2022-11-23T01:32:30.1620574Z             
2022-11-23T01:32:30.1620642Z  - 
2022-11-23T01:32:30.1620770Z             local 'ex[39]' TENSOR_MATCH
2022-11-23T01:32:30.1620838Z             {
2022-11-23T01:32:30.1620988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1621100Z                 'code': None,
2022-11-23T01:32:30.1621303Z                 'obj_weakref': <weakref at 0x7f20233c83b0; to 'Tensor' at 0x7f2115a888b0>
2022-11-23T01:32:30.1621545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1621608Z             }
2022-11-23T01:32:30.1621676Z             
2022-11-23T01:32:30.1621755Z  - 
2022-11-23T01:32:30.1621883Z             local 'ex[40]' TENSOR_MATCH
2022-11-23T01:32:30.1621951Z             {
2022-11-23T01:32:30.1622098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1622226Z                 'code': None,
2022-11-23T01:32:30.1622456Z                 'obj_weakref': <weakref at 0x7f20233c82c0; to 'Tensor' at 0x7f2115a88ae0>
2022-11-23T01:32:30.1622693Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1622761Z             }
2022-11-23T01:32:30.1622832Z             
2022-11-23T01:32:30.1622908Z  - 
2022-11-23T01:32:30.1623035Z             local 'ex[41]' TENSOR_MATCH
2022-11-23T01:32:30.1623097Z             {
2022-11-23T01:32:30.1623246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1623357Z                 'code': None,
2022-11-23T01:32:30.1623564Z                 'obj_weakref': <weakref at 0x7f20233cb740; to 'Tensor' at 0x7f206826d800>
2022-11-23T01:32:30.1623801Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1623869Z             }
2022-11-23T01:32:30.1623936Z             
2022-11-23T01:32:30.1624010Z  - 
2022-11-23T01:32:30.1624132Z             local 'ex[42]' TENSOR_MATCH
2022-11-23T01:32:30.1624200Z             {
2022-11-23T01:32:30.1624347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1624460Z                 'code': None,
2022-11-23T01:32:30.1624669Z                 'obj_weakref': <weakref at 0x7f20233cb920; to 'Tensor' at 0x7f206826c360>
2022-11-23T01:32:30.1624915Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1624986Z             }
2022-11-23T01:32:30.1625048Z             
2022-11-23T01:32:30.1625122Z  - 
2022-11-23T01:32:30.1625250Z             local 'ex[43]' TENSOR_MATCH
2022-11-23T01:32:30.1625320Z             {
2022-11-23T01:32:30.1625464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1625575Z                 'code': None,
2022-11-23T01:32:30.1625777Z                 'obj_weakref': <weakref at 0x7f20233c8310; to 'Tensor' at 0x7f206078a390>
2022-11-23T01:32:30.1626014Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1626083Z             }
2022-11-23T01:32:30.1626151Z             
2022-11-23T01:32:30.1626226Z  - 
2022-11-23T01:32:30.1626354Z             local 'ex[44]' TENSOR_MATCH
2022-11-23T01:32:30.1626459Z             {
2022-11-23T01:32:30.1626605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1626709Z                 'code': None,
2022-11-23T01:32:30.1626911Z                 'obj_weakref': <weakref at 0x7f20233c8040; to 'Tensor' at 0x7f2060788310>
2022-11-23T01:32:30.1627176Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1627246Z             }
2022-11-23T01:32:30.1627315Z             
2022-11-23T01:32:30.1627391Z  - 
2022-11-23T01:32:30.1627519Z             local 'ex[45]' TENSOR_MATCH
2022-11-23T01:32:30.1627581Z             {
2022-11-23T01:32:30.1627726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1627840Z                 'code': None,
2022-11-23T01:32:30.1628045Z                 'obj_weakref': <weakref at 0x7f20233ca3e0; to 'Tensor' at 0x7f2023356ac0>
2022-11-23T01:32:30.1628289Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1628362Z             }
2022-11-23T01:32:30.1628430Z             
2022-11-23T01:32:30.1628498Z  - 
2022-11-23T01:32:30.1628627Z             local 'ex[46]' TENSOR_MATCH
2022-11-23T01:32:30.1628700Z             {
2022-11-23T01:32:30.1628846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1628956Z                 'code': None,
2022-11-23T01:32:30.1629158Z                 'obj_weakref': <weakref at 0x7f20233c94e0; to 'Tensor' at 0x7f2023354770>
2022-11-23T01:32:30.1629398Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1629461Z             }
2022-11-23T01:32:30.1629529Z             
2022-11-23T01:32:30.1629604Z  - 
2022-11-23T01:32:30.1629734Z             local 'ex[47]' TENSOR_MATCH
2022-11-23T01:32:30.1629802Z             {
2022-11-23T01:32:30.1629946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1630058Z                 'code': None,
2022-11-23T01:32:30.1630320Z                 'obj_weakref': <weakref at 0x7f20233cbbf0; to 'Tensor' at 0x7f2023354f40>
2022-11-23T01:32:30.1630600Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1630677Z             }
2022-11-23T01:32:30.1630747Z             
2022-11-23T01:32:30.1630823Z  - 
2022-11-23T01:32:30.1630952Z             local 'ex[48]' TENSOR_MATCH
2022-11-23T01:32:30.1631019Z             {
2022-11-23T01:32:30.1631158Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1631268Z                 'code': None,
2022-11-23T01:32:30.1631469Z                 'obj_weakref': <weakref at 0x7f20233cab10; to 'Tensor' at 0x7f2023356390>
2022-11-23T01:32:30.1631708Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1631777Z             }
2022-11-23T01:32:30.1631846Z             
2022-11-23T01:32:30.1631921Z  - 
2022-11-23T01:32:30.1632044Z             local 'ex[49]' TENSOR_MATCH
2022-11-23T01:32:30.1632114Z             {
2022-11-23T01:32:30.1632259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1632371Z                 'code': None,
2022-11-23T01:32:30.1632576Z                 'obj_weakref': <weakref at 0x7f20233cb2e0; to 'Tensor' at 0x7f2023355c60>
2022-11-23T01:32:30.1632816Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1632886Z             }
2022-11-23T01:32:30.1632947Z             
2022-11-23T01:32:30.1633021Z  - 
2022-11-23T01:32:30.1633149Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1633217Z             {
2022-11-23T01:32:30.1633358Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1633581Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1633706Z                 'obj_weakref': None
2022-11-23T01:32:30.1633993Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1634064Z             }
2022-11-23T01:32:30.1634132Z             
2022-11-23T01:32:30.1634232Z  - 
2022-11-23T01:32:30.1634420Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:30.1634488Z             {
2022-11-23T01:32:30.1634633Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.1634905Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292480384)', 'model.__closure__[0].cell_contents == 50'],
2022-11-23T01:32:30.1635031Z                 'obj_weakref': None
2022-11-23T01:32:30.1635251Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.1635318Z             }
2022-11-23T01:32:30.1635389Z             
2022-11-23T01:32:30.1635463Z  - 
2022-11-23T01:32:30.1635599Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:30.1635660Z             {
2022-11-23T01:32:30.1635787Z                 'guard_types': None,
2022-11-23T01:32:30.1635898Z                 'code': None,
2022-11-23T01:32:30.1636022Z                 'obj_weakref': None
2022-11-23T01:32:30.1636152Z                 'guarded_class': None
2022-11-23T01:32:30.1636220Z             }
2022-11-23T01:32:30.1636288Z             
2022-11-23T01:32:30.1636355Z  - 
2022-11-23T01:32:30.1636490Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1636560Z             {
2022-11-23T01:32:30.1636685Z                 'guard_types': None,
2022-11-23T01:32:30.1636795Z                 'code': None,
2022-11-23T01:32:30.1636917Z                 'obj_weakref': None
2022-11-23T01:32:30.1637044Z                 'guarded_class': None
2022-11-23T01:32:30.1637105Z             }
2022-11-23T01:32:30.1637174Z             
2022-11-23T01:32:30.1637440Z [2022-11-23 01:25:51,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167
2022-11-23T01:32:30.1637446Z 
2022-11-23T01:32:30.1637551Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1637625Z import torch
2022-11-23T01:32:30.1637699Z import random
2022-11-23T01:32:30.1637824Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1637947Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1637952Z 
2022-11-23T01:32:30.1638035Z aten = torch.ops.aten
2022-11-23T01:32:30.1638175Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1638273Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1638278Z 
2022-11-23T01:32:30.1638356Z import triton
2022-11-23T01:32:30.1638449Z import triton.language as tl
2022-11-23T01:32:30.1638574Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1638710Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1638724Z 
2022-11-23T01:32:30.1638728Z 
2022-11-23T01:32:30.1638860Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1639072Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1639198Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.1639309Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1639421Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.1639529Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.1639636Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:30.1639742Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:30.1639841Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:32:30.1639947Z                        const float* __restrict__ in_ptr6,
2022-11-23T01:32:30.1640053Z                        const float* __restrict__ in_ptr7,
2022-11-23T01:32:30.1640158Z                        const float* __restrict__ in_ptr8,
2022-11-23T01:32:30.1640263Z                        const float* __restrict__ in_ptr9,
2022-11-23T01:32:30.1640414Z                        const float* __restrict__ in_ptr10,
2022-11-23T01:32:30.1640525Z                        const float* __restrict__ in_ptr11,
2022-11-23T01:32:30.1640630Z                        const float* __restrict__ in_ptr12,
2022-11-23T01:32:30.1640772Z                        const float* __restrict__ in_ptr13,
2022-11-23T01:32:30.1640880Z                        const float* __restrict__ in_ptr14,
2022-11-23T01:32:30.1640989Z                        const float* __restrict__ in_ptr15,
2022-11-23T01:32:30.1641096Z                        const float* __restrict__ in_ptr16,
2022-11-23T01:32:30.1641203Z                        const float* __restrict__ in_ptr17,
2022-11-23T01:32:30.1641309Z                        const float* __restrict__ in_ptr18,
2022-11-23T01:32:30.1641414Z                        const float* __restrict__ in_ptr19,
2022-11-23T01:32:30.1641515Z                        const float* __restrict__ in_ptr20,
2022-11-23T01:32:30.1641625Z                        const float* __restrict__ in_ptr21,
2022-11-23T01:32:30.1641732Z                        const float* __restrict__ in_ptr22,
2022-11-23T01:32:30.1641838Z                        const float* __restrict__ in_ptr23,
2022-11-23T01:32:30.1641949Z                        const float* __restrict__ in_ptr24,
2022-11-23T01:32:30.1642056Z                        const float* __restrict__ in_ptr25,
2022-11-23T01:32:30.1642163Z                        const float* __restrict__ in_ptr26,
2022-11-23T01:32:30.1642268Z                        const float* __restrict__ in_ptr27,
2022-11-23T01:32:30.1642395Z                        const float* __restrict__ in_ptr28,
2022-11-23T01:32:30.1642518Z                        const float* __restrict__ in_ptr29,
2022-11-23T01:32:30.1642631Z                        const float* __restrict__ in_ptr30,
2022-11-23T01:32:30.1642737Z                        const float* __restrict__ in_ptr31,
2022-11-23T01:32:30.1642844Z                        const float* __restrict__ in_ptr32,
2022-11-23T01:32:30.1642954Z                        const float* __restrict__ in_ptr33,
2022-11-23T01:32:30.1643060Z                        const float* __restrict__ in_ptr34,
2022-11-23T01:32:30.1643159Z                        const float* __restrict__ in_ptr35,
2022-11-23T01:32:30.1643268Z                        const float* __restrict__ in_ptr36,
2022-11-23T01:32:30.1643374Z                        const float* __restrict__ in_ptr37,
2022-11-23T01:32:30.1643480Z                        const float* __restrict__ in_ptr38,
2022-11-23T01:32:30.1643587Z                        const float* __restrict__ in_ptr39,
2022-11-23T01:32:30.1643694Z                        const float* __restrict__ in_ptr40,
2022-11-23T01:32:30.1643801Z                        const float* __restrict__ in_ptr41,
2022-11-23T01:32:30.1643900Z                        const float* __restrict__ in_ptr42,
2022-11-23T01:32:30.1644007Z                        const float* __restrict__ in_ptr43,
2022-11-23T01:32:30.1644114Z                        const float* __restrict__ in_ptr44,
2022-11-23T01:32:30.1644225Z                        const float* __restrict__ in_ptr45,
2022-11-23T01:32:30.1644333Z                        const float* __restrict__ in_ptr46,
2022-11-23T01:32:30.1644439Z                        const float* __restrict__ in_ptr47,
2022-11-23T01:32:30.1644547Z                        const float* __restrict__ in_ptr48,
2022-11-23T01:32:30.1644653Z                        const float* __restrict__ in_ptr49)
2022-11-23T01:32:30.1644712Z {
2022-11-23T01:32:30.1644804Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.1644907Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1644973Z     {
2022-11-23T01:32:30.1645055Z         #pragma omp for 
2022-11-23T01:32:30.1645143Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1645205Z         {
2022-11-23T01:32:30.1645363Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1645501Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.1645668Z             auto tmp4 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:30.1645803Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr3 + 8*i0);
2022-11-23T01:32:30.1645959Z             auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i0);
2022-11-23T01:32:30.1646098Z             auto tmp10 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i0);
2022-11-23T01:32:30.1646237Z             auto tmp12 = at::vec::Vectorized<float>::loadu(in_ptr6 + 8*i0);
2022-11-23T01:32:30.1646374Z             auto tmp14 = at::vec::Vectorized<float>::loadu(in_ptr7 + 8*i0);
2022-11-23T01:32:30.1646505Z             auto tmp16 = at::vec::Vectorized<float>::loadu(in_ptr8 + 8*i0);
2022-11-23T01:32:30.1646598Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:32:30.1646687Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.1646773Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.1646860Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:30.1646947Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:32:30.1647037Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:30.1647120Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:30.1647211Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:30.1647306Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:30.1647404Z             tmp17.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1647472Z         }
2022-11-23T01:32:30.1647572Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1647660Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1647721Z         {
2022-11-23T01:32:30.1647810Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1647898Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:30.1647984Z             auto tmp4 = in_ptr2[i0];
2022-11-23T01:32:30.1648071Z             auto tmp6 = in_ptr3[i0];
2022-11-23T01:32:30.1648159Z             auto tmp8 = in_ptr4[i0];
2022-11-23T01:32:30.1648248Z             auto tmp10 = in_ptr5[i0];
2022-11-23T01:32:30.1648333Z             auto tmp12 = in_ptr6[i0];
2022-11-23T01:32:30.1648423Z             auto tmp14 = in_ptr7[i0];
2022-11-23T01:32:30.1648512Z             auto tmp16 = in_ptr8[i0];
2022-11-23T01:32:30.1648600Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:32:30.1648690Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.1648776Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.1648862Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:30.1648941Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:32:30.1649031Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:30.1649122Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:30.1649213Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:30.1649303Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:30.1649389Z             out_ptr0[i0] = tmp17;
2022-11-23T01:32:30.1649457Z         }
2022-11-23T01:32:30.1649532Z         #pragma omp for 
2022-11-23T01:32:30.1649620Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1649687Z         {
2022-11-23T01:32:30.1649829Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1649965Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr9 + 8*i0);
2022-11-23T01:32:30.1650105Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr10 + 8*i0);
2022-11-23T01:32:30.1650239Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr11 + 8*i0);
2022-11-23T01:32:30.1650371Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr12 + 8*i0);
2022-11-23T01:32:30.1650495Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr13 + 8*i0);
2022-11-23T01:32:30.1650635Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr14 + 8*i0);
2022-11-23T01:32:30.1650775Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr15 + 8*i0);
2022-11-23T01:32:30.1650914Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr16 + 8*i0);
2022-11-23T01:32:30.1651004Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1651124Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1651214Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1651302Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1651408Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1651498Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1651589Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1651696Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1651811Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1651894Z         }
2022-11-23T01:32:30.1652000Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1652080Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1652147Z         {
2022-11-23T01:32:30.1652236Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:30.1652324Z             auto tmp1 = in_ptr9[i0];
2022-11-23T01:32:30.1652413Z             auto tmp3 = in_ptr10[i0];
2022-11-23T01:32:30.1652502Z             auto tmp5 = in_ptr11[i0];
2022-11-23T01:32:30.1652591Z             auto tmp7 = in_ptr12[i0];
2022-11-23T01:32:30.1652672Z             auto tmp9 = in_ptr13[i0];
2022-11-23T01:32:30.1652762Z             auto tmp11 = in_ptr14[i0];
2022-11-23T01:32:30.1652857Z             auto tmp13 = in_ptr15[i0];
2022-11-23T01:32:30.1652946Z             auto tmp15 = in_ptr16[i0];
2022-11-23T01:32:30.1653035Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1653123Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1653210Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1653290Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1653379Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1653469Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1653559Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1653648Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1653735Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:30.1653804Z         }
2022-11-23T01:32:30.1653878Z         #pragma omp for 
2022-11-23T01:32:30.1653969Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1654039Z         {
2022-11-23T01:32:30.1654183Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1654320Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr17 + 8*i0);
2022-11-23T01:32:30.1654455Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr18 + 8*i0);
2022-11-23T01:32:30.1654587Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr19 + 8*i0);
2022-11-23T01:32:30.1654721Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr20 + 8*i0);
2022-11-23T01:32:30.1654846Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr21 + 8*i0);
2022-11-23T01:32:30.1654983Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr22 + 8*i0);
2022-11-23T01:32:30.1655122Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr23 + 8*i0);
2022-11-23T01:32:30.1655260Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr24 + 8*i0);
2022-11-23T01:32:30.1655349Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1655437Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1655525Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1655615Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1655697Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1655786Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1655876Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1655966Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1656068Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1656136Z         }
2022-11-23T01:32:30.1656236Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1656317Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1656385Z         {
2022-11-23T01:32:30.1656480Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1656569Z             auto tmp1 = in_ptr17[i0];
2022-11-23T01:32:30.1656687Z             auto tmp3 = in_ptr18[i0];
2022-11-23T01:32:30.1656776Z             auto tmp5 = in_ptr19[i0];
2022-11-23T01:32:30.1656857Z             auto tmp7 = in_ptr20[i0];
2022-11-23T01:32:30.1656944Z             auto tmp9 = in_ptr21[i0];
2022-11-23T01:32:30.1657060Z             auto tmp11 = in_ptr22[i0];
2022-11-23T01:32:30.1657151Z             auto tmp13 = in_ptr23[i0];
2022-11-23T01:32:30.1657242Z             auto tmp15 = in_ptr24[i0];
2022-11-23T01:32:30.1657330Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1657418Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1657498Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1657586Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1657674Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1657765Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1657853Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1657942Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1658034Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:30.1658095Z         }
2022-11-23T01:32:30.1658175Z         #pragma omp for 
2022-11-23T01:32:30.1658264Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1658335Z         {
2022-11-23T01:32:30.1658481Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1658616Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr25 + 8*i0);
2022-11-23T01:32:30.1658750Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr26 + 8*i0);
2022-11-23T01:32:30.1659069Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr27 + 8*i0);
2022-11-23T01:32:30.1659197Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr28 + 8*i0);
2022-11-23T01:32:30.1659327Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr29 + 8*i0);
2022-11-23T01:32:30.1659466Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr30 + 8*i0);
2022-11-23T01:32:30.1659604Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr31 + 8*i0);
2022-11-23T01:32:30.1659741Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr32 + 8*i0);
2022-11-23T01:32:30.1659830Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1659923Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1660010Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1660090Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1660180Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1660267Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1660357Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1660446Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1660547Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1660614Z         }
2022-11-23T01:32:30.1660708Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1660796Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1660863Z         {
2022-11-23T01:32:30.1660961Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1661053Z             auto tmp1 = in_ptr25[i0];
2022-11-23T01:32:30.1661145Z             auto tmp3 = in_ptr26[i0];
2022-11-23T01:32:30.1661234Z             auto tmp5 = in_ptr27[i0];
2022-11-23T01:32:30.1661317Z             auto tmp7 = in_ptr28[i0];
2022-11-23T01:32:30.1661410Z             auto tmp9 = in_ptr29[i0];
2022-11-23T01:32:30.1661503Z             auto tmp11 = in_ptr30[i0];
2022-11-23T01:32:30.1661593Z             auto tmp13 = in_ptr31[i0];
2022-11-23T01:32:30.1661684Z             auto tmp15 = in_ptr32[i0];
2022-11-23T01:32:30.1661773Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1661861Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1661942Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1662032Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1662131Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1662237Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1662342Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1662489Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1662578Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:30.1662640Z         }
2022-11-23T01:32:30.1662723Z         #pragma omp for 
2022-11-23T01:32:30.1662837Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1662906Z         {
2022-11-23T01:32:30.1663049Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1663185Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr33 + 8*i0);
2022-11-23T01:32:30.1663320Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr34 + 8*i0);
2022-11-23T01:32:30.1663453Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr35 + 8*i0);
2022-11-23T01:32:30.1663580Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr36 + 8*i0);
2022-11-23T01:32:30.1663712Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr37 + 8*i0);
2022-11-23T01:32:30.1663852Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr38 + 8*i0);
2022-11-23T01:32:30.1663989Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr39 + 8*i0);
2022-11-23T01:32:30.1664124Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr40 + 8*i0);
2022-11-23T01:32:30.1664217Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1664306Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1664392Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1664473Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1664566Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1664657Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1664747Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1664834Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1664938Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1665008Z         }
2022-11-23T01:32:30.1665101Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1665192Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1665260Z         {
2022-11-23T01:32:30.1665354Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1665444Z             auto tmp1 = in_ptr33[i0];
2022-11-23T01:32:30.1665536Z             auto tmp3 = in_ptr34[i0];
2022-11-23T01:32:30.1665624Z             auto tmp5 = in_ptr35[i0];
2022-11-23T01:32:30.1665705Z             auto tmp7 = in_ptr36[i0];
2022-11-23T01:32:30.1665793Z             auto tmp9 = in_ptr37[i0];
2022-11-23T01:32:30.1665884Z             auto tmp11 = in_ptr38[i0];
2022-11-23T01:32:30.1665975Z             auto tmp13 = in_ptr39[i0];
2022-11-23T01:32:30.1666065Z             auto tmp15 = in_ptr40[i0];
2022-11-23T01:32:30.1666153Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1666240Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1666320Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1666406Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1666495Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1666588Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1666677Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1666769Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1666859Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:30.1666919Z         }
2022-11-23T01:32:30.1666999Z         #pragma omp for 
2022-11-23T01:32:30.1667085Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1667152Z         {
2022-11-23T01:32:30.1667294Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1667433Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr41 + 8*i0);
2022-11-23T01:32:30.1667568Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr42 + 8*i0);
2022-11-23T01:32:30.1667692Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr43 + 8*i0);
2022-11-23T01:32:30.1667823Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr44 + 8*i0);
2022-11-23T01:32:30.1667983Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr45 + 8*i0);
2022-11-23T01:32:30.1668121Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr46 + 8*i0);
2022-11-23T01:32:30.1668257Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr47 + 8*i0);
2022-11-23T01:32:30.1668414Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr48 + 8*i0);
2022-11-23T01:32:30.1668505Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1668593Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1668681Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1668763Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1668852Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1668942Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1669031Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1669121Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1669225Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1669293Z         }
2022-11-23T01:32:30.1669389Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1669476Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1669545Z         {
2022-11-23T01:32:30.1669642Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1669732Z             auto tmp1 = in_ptr41[i0];
2022-11-23T01:32:30.1669821Z             auto tmp3 = in_ptr42[i0];
2022-11-23T01:32:30.1669912Z             auto tmp5 = in_ptr43[i0];
2022-11-23T01:32:30.1669993Z             auto tmp7 = in_ptr44[i0];
2022-11-23T01:32:30.1670081Z             auto tmp9 = in_ptr45[i0];
2022-11-23T01:32:30.1670173Z             auto tmp11 = in_ptr46[i0];
2022-11-23T01:32:30.1670337Z             auto tmp13 = in_ptr47[i0];
2022-11-23T01:32:30.1670442Z             auto tmp15 = in_ptr48[i0];
2022-11-23T01:32:30.1670550Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1670659Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1670742Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.1670830Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.1670919Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:30.1671010Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:30.1671102Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:30.1671194Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:30.1671275Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:30.1671343Z         }
2022-11-23T01:32:30.1671425Z         #pragma omp for 
2022-11-23T01:32:30.1671512Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.1671578Z         {
2022-11-23T01:32:30.1671724Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1671857Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr49 + 8*i0);
2022-11-23T01:32:30.1671945Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1672039Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.1672107Z         }
2022-11-23T01:32:30.1672205Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1672294Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.1672361Z         {
2022-11-23T01:32:30.1672459Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.1672551Z             auto tmp1 = in_ptr49[i0];
2022-11-23T01:32:30.1672632Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1672718Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.1672785Z         }
2022-11-23T01:32:30.1672852Z     }
2022-11-23T01:32:30.1672918Z }
2022-11-23T01:32:30.1673013Z ''')
2022-11-23T01:32:30.1673020Z 
2022-11-23T01:32:30.1673025Z 
2022-11-23T01:32:30.1673118Z async_compile.wait(globals())
2022-11-23T01:32:30.1673190Z del async_compile
2022-11-23T01:32:30.1673196Z 
2022-11-23T01:32:30.1673271Z def call(args):
2022-11-23T01:32:30.1673627Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2022-11-23T01:32:30.1673725Z     args.clear()
2022-11-23T01:32:30.1673928Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1674020Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.1674109Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:30.1674195Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:30.1674274Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.1674357Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:30.1674441Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:30.1675632Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr()))
2022-11-23T01:32:30.1675724Z     del arg0_1
2022-11-23T01:32:30.1675789Z     del arg10_1
2022-11-23T01:32:30.1675863Z     del arg11_1
2022-11-23T01:32:30.1675935Z     del arg12_1
2022-11-23T01:32:30.1676005Z     del arg13_1
2022-11-23T01:32:30.1676072Z     del arg14_1
2022-11-23T01:32:30.1676142Z     del arg15_1
2022-11-23T01:32:30.1676213Z     del arg16_1
2022-11-23T01:32:30.1676277Z     del arg17_1
2022-11-23T01:32:30.1676347Z     del arg18_1
2022-11-23T01:32:30.1676419Z     del arg19_1
2022-11-23T01:32:30.1676492Z     del arg1_1
2022-11-23T01:32:30.1676563Z     del arg20_1
2022-11-23T01:32:30.1676632Z     del arg21_1
2022-11-23T01:32:30.1676695Z     del arg22_1
2022-11-23T01:32:30.1676765Z     del arg23_1
2022-11-23T01:32:30.1676835Z     del arg24_1
2022-11-23T01:32:30.1676908Z     del arg25_1
2022-11-23T01:32:30.1676980Z     del arg26_1
2022-11-23T01:32:30.1677050Z     del arg27_1
2022-11-23T01:32:30.1677120Z     del arg28_1
2022-11-23T01:32:30.1677188Z     del arg29_1
2022-11-23T01:32:30.1677258Z     del arg2_1
2022-11-23T01:32:30.1677328Z     del arg30_1
2022-11-23T01:32:30.1677399Z     del arg31_1
2022-11-23T01:32:30.1677468Z     del arg32_1
2022-11-23T01:32:30.1677538Z     del arg33_1
2022-11-23T01:32:30.1677601Z     del arg34_1
2022-11-23T01:32:30.1677670Z     del arg35_1
2022-11-23T01:32:30.1677740Z     del arg36_1
2022-11-23T01:32:30.1677810Z     del arg37_1
2022-11-23T01:32:30.1677879Z     del arg38_1
2022-11-23T01:32:30.1677949Z     del arg39_1
2022-11-23T01:32:30.1678013Z     del arg3_1
2022-11-23T01:32:30.1678083Z     del arg40_1
2022-11-23T01:32:30.1678152Z     del arg41_1
2022-11-23T01:32:30.1678223Z     del arg42_1
2022-11-23T01:32:30.1678294Z     del arg43_1
2022-11-23T01:32:30.1678365Z     del arg44_1
2022-11-23T01:32:30.1678473Z     del arg45_1
2022-11-23T01:32:30.1678538Z     del arg46_1
2022-11-23T01:32:30.1678609Z     del arg47_1
2022-11-23T01:32:30.1678678Z     del arg48_1
2022-11-23T01:32:30.1678748Z     del arg49_1
2022-11-23T01:32:30.1678842Z     del arg4_1
2022-11-23T01:32:30.1678915Z     del arg5_1
2022-11-23T01:32:30.1678979Z     del arg6_1
2022-11-23T01:32:30.1679049Z     del arg7_1
2022-11-23T01:32:30.1679119Z     del arg8_1
2022-11-23T01:32:30.1679192Z     del arg9_1
2022-11-23T01:32:30.1679270Z     return (buf6, )
2022-11-23T01:32:30.1679276Z 
2022-11-23T01:32:30.1679281Z 
2022-11-23T01:32:30.1679363Z if __name__ == "__main__":
2022-11-23T01:32:30.1679490Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1679625Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1679822Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680016Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680208Z     arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680394Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680584Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680773Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1680960Z     arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1681146Z     arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1681324Z     arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1681508Z     arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1681701Z     arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1681893Z     arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1682088Z     arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1682299Z     arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1682521Z     arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1682708Z     arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1682889Z     arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1683078Z     arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1683269Z     arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1683456Z     arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1683645Z     arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1683837Z     arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684023Z     arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684211Z     arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684395Z     arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684583Z     arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684771Z     arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1684958Z     arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1685146Z     arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1685335Z     arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1685522Z     arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1685735Z     arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1685916Z     arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1686101Z     arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1686312Z     arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1686502Z     arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1686690Z     arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1686878Z     arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687065Z     arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687245Z     arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687433Z     arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687622Z     arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687808Z     arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1687998Z     arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1688188Z     arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1688375Z     arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1688562Z     arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1688743Z     arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1688930Z     arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1689117Z     arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1689474Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2022-11-23T01:32:30.1689856Z [2022-11-23 01:25:52,882] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vk/cvkpmilzzbkpyorxlsppuj7aiajraqj4nls3jtlex36t7o64hhrd.py
2022-11-23T01:32:30.1690125Z [2022-11-23 01:25:52,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167
2022-11-23T01:32:30.1690131Z 
2022-11-23T01:32:30.1690218Z --> 7
2022-11-23T01:32:30.1690293Z ok (1.997s)
2022-11-23T01:32:30.1690618Z   test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1690934Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1691160Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1691411Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1691718Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1692069Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1692419Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1692771Z [2022-11-23 01:25:52,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1693150Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166> 
2022-11-23T01:32:30.1693274Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1693374Z                2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.1693518Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.1693607Z                6 CALL_METHOD              1
2022-11-23T01:32:30.1693713Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.1693812Z               10 LOAD_ATTR                2 (amax)
2022-11-23T01:32:30.1693910Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1694008Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1694090Z               16 BINARY_ADD
2022-11-23T01:32:30.1694185Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1694284Z               20 LOAD_CONST               3 (True)
2022-11-23T01:32:30.1694437Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:30.1694537Z               24 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.1694632Z               26 BUILD_TUPLE              2
2022-11-23T01:32:30.1694712Z               28 RETURN_VALUE
2022-11-23T01:32:30.1694779Z  
2022-11-23T01:32:30.1694784Z 
2022-11-23T01:32:30.1695095Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167
2022-11-23T01:32:30.1695311Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.1695549Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.1695830Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.1696145Z [2022-11-23 01:25:52,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.1696400Z [2022-11-23 01:25:52,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.1696793Z [2022-11-23 01:25:52,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1697142Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1697517Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1697933Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1698295Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1698690Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1699376Z [2022-11-23 01:25:52,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.1699862Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.1700158Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1700406Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1700769Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166>
2022-11-23T01:32:30.1701018Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1701254Z [2022-11-23 01:25:52,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1701506Z [2022-11-23 01:25:52,893] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1701758Z [2022-11-23 01:25:52,896] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1701952Z [2022-11-23 01:25:52,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1702091Z  __compiled_fn_175 <eval_with_key>.1097 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1702186Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1702325Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.1702494Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.1702744Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add, 1), {'keepdim': True}
2022-11-23T01:32:30.1702854Z output, output, output, ((sum_1, amax),), {}
2022-11-23T01:32:30.1702862Z 
2022-11-23T01:32:30.1703184Z [2022-11-23 01:25:52,896] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1703288Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1703384Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1703478Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1703578Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1703662Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1703757Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1703838Z              12 RETURN_VALUE
2022-11-23T01:32:30.1703843Z 
2022-11-23T01:32:30.1703909Z  
2022-11-23T01:32:30.1704231Z [2022-11-23 01:25:52,896] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1704348Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_175)
2022-11-23T01:32:30.1704444Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1704533Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1704620Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1704711Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1704822Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1704932Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1705028Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1705110Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1705211Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1705306Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1705387Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1705480Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.1705562Z              26 RETURN_VALUE
2022-11-23T01:32:30.1705567Z 
2022-11-23T01:32:30.1705663Z  
2022-11-23T01:32:30.1705850Z [2022-11-23 01:25:52,897] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1705926Z  - 
2022-11-23T01:32:30.1706042Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1706138Z             {
2022-11-23T01:32:30.1706282Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1706471Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1706594Z                 'obj_weakref': None
2022-11-23T01:32:30.1706820Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1706888Z             }
2022-11-23T01:32:30.1706950Z             
2022-11-23T01:32:30.1707026Z  - 
2022-11-23T01:32:30.1707152Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1707219Z             {
2022-11-23T01:32:30.1707365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1707477Z                 'code': None,
2022-11-23T01:32:30.1707686Z                 'obj_weakref': <weakref at 0x7f2060788310; to 'Tensor' at 0x7f21279d0590>
2022-11-23T01:32:30.1707926Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1707998Z             }
2022-11-23T01:32:30.1708066Z             
2022-11-23T01:32:30.1708141Z  - 
2022-11-23T01:32:30.1708275Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1708343Z             {
2022-11-23T01:32:30.1708482Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1708648Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1708773Z                 'obj_weakref': None
2022-11-23T01:32:30.1709003Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1709073Z             }
2022-11-23T01:32:30.1709142Z             
2022-11-23T01:32:30.1709218Z  - 
2022-11-23T01:32:30.1709347Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1709409Z             {
2022-11-23T01:32:30.1709551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1709774Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1709902Z                 'obj_weakref': None
2022-11-23T01:32:30.1710129Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1710198Z             }
2022-11-23T01:32:30.1710337Z             
2022-11-23T01:32:30.1710419Z  - 
2022-11-23T01:32:30.1710581Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1710657Z             {
2022-11-23T01:32:30.1710784Z                 'guard_types': None,
2022-11-23T01:32:30.1710895Z                 'code': None,
2022-11-23T01:32:30.1711017Z                 'obj_weakref': None
2022-11-23T01:32:30.1711137Z                 'guarded_class': None
2022-11-23T01:32:30.1711205Z             }
2022-11-23T01:32:30.1711277Z             
2022-11-23T01:32:30.1711541Z [2022-11-23 01:25:52,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168
2022-11-23T01:32:30.1711906Z [2022-11-23 01:25:54,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ee/ceebipu3pbou2y6we6pll6olpl74laemytfn3k3ddt4ehyfj3ihr.py
2022-11-23T01:32:30.1712178Z [2022-11-23 01:25:54,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168
2022-11-23T01:32:30.1712184Z 
2022-11-23T01:32:30.1712284Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1712359Z import torch
2022-11-23T01:32:30.1712427Z import random
2022-11-23T01:32:30.1712547Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1712673Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1712678Z 
2022-11-23T01:32:30.1712761Z aten = torch.ops.aten
2022-11-23T01:32:30.1712901Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1713031Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1713038Z 
2022-11-23T01:32:30.1713112Z import triton
2022-11-23T01:32:30.1713205Z import triton.language as tl
2022-11-23T01:32:30.1713326Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1713491Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1713497Z 
2022-11-23T01:32:30.1713502Z 
2022-11-23T01:32:30.1713641Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1713849Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1713975Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1714082Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1714190Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1714255Z {
2022-11-23T01:32:30.1714351Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1714418Z     {
2022-11-23T01:32:30.1714499Z         #pragma omp for 
2022-11-23T01:32:30.1714590Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.1714658Z         {
2022-11-23T01:32:30.1714801Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1714947Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1715030Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1715126Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1715221Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.1715291Z         }
2022-11-23T01:32:30.1715390Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1715477Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.1715544Z         {
2022-11-23T01:32:30.1715626Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1715730Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.1715818Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1715902Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.1715990Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:30.1716058Z         }
2022-11-23T01:32:30.1716124Z     }
2022-11-23T01:32:30.1716181Z }
2022-11-23T01:32:30.1716266Z ''')
2022-11-23T01:32:30.1716278Z 
2022-11-23T01:32:30.1716283Z 
2022-11-23T01:32:30.1716378Z async_compile.wait(globals())
2022-11-23T01:32:30.1716455Z del async_compile
2022-11-23T01:32:30.1716460Z 
2022-11-23T01:32:30.1716535Z def call(args):
2022-11-23T01:32:30.1716608Z     arg0_1, = args
2022-11-23T01:32:30.1716683Z     args.clear()
2022-11-23T01:32:30.1716872Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1717074Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1717245Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.1717318Z     del arg0_1
2022-11-23T01:32:30.1717398Z     return (buf0, buf1, )
2022-11-23T01:32:30.1717403Z 
2022-11-23T01:32:30.1717408Z 
2022-11-23T01:32:30.1717490Z if __name__ == "__main__":
2022-11-23T01:32:30.1717610Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1717737Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1717938Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1718050Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1718055Z 
2022-11-23T01:32:30.1718126Z ok (1.568s)
2022-11-23T01:32:30.1718430Z   test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1718743Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1718961Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1719250Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1719533Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1719878Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1720210Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1720529Z [2022-11-23 01:25:54,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1720895Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251> 
2022-11-23T01:32:30.1721002Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1721106Z                2 LOAD_METHOD              1 (permute)
2022-11-23T01:32:30.1721201Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1721300Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.1721381Z                8 BINARY_ADD
2022-11-23T01:32:30.1721471Z               10 BUILD_LIST               0
2022-11-23T01:32:30.1721580Z               12 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:30.1721687Z               14 LIST_EXTEND              1
2022-11-23T01:32:30.1721791Z               16 CALL_METHOD              2
2022-11-23T01:32:30.1721906Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1721989Z               20 BINARY_ADD
2022-11-23T01:32:30.1721994Z 
2022-11-23T01:32:30.1722093Z 1254          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1722196Z               24 LOAD_METHOD              1 (permute)
2022-11-23T01:32:30.1722287Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1722379Z               28 BUILD_LIST               0
2022-11-23T01:32:30.1722482Z               30 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:30.1722578Z               32 LIST_EXTEND              1
2022-11-23T01:32:30.1722668Z               34 CALL_METHOD              2
2022-11-23T01:32:30.1722764Z               36 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1722842Z               38 BINARY_ADD
2022-11-23T01:32:30.1722847Z 
2022-11-23T01:32:30.1722933Z 1252          40 BUILD_TUPLE              2
2022-11-23T01:32:30.1723016Z               42 RETURN_VALUE
2022-11-23T01:32:30.1723083Z  
2022-11-23T01:32:30.1723088Z 
2022-11-23T01:32:30.1723402Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253
2022-11-23T01:32:30.1723619Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1723983Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1724305Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1724649Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1725032Z [2022-11-23 01:25:54,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1725412Z [2022-11-23 01:25:54,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1725791Z [2022-11-23 01:25:54,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1726248Z [2022-11-23 01:25:54,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.1726616Z [2022-11-23 01:25:54,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1726852Z [2022-11-23 01:25:54,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.1727131Z [2022-11-23 01:25:54,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1727441Z [2022-11-23 01:25:54,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254
2022-11-23T01:32:30.1727690Z [2022-11-23 01:25:54,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.1728077Z [2022-11-23 01:25:54,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1728419Z [2022-11-23 01:25:54,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1728789Z [2022-11-23 01:25:54,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1729196Z [2022-11-23 01:25:54,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1729632Z [2022-11-23 01:25:54,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.1730032Z [2022-11-23 01:25:54,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.1730295Z [2022-11-23 01:25:54,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1730594Z [2022-11-23 01:25:54,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1730903Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252
2022-11-23T01:32:30.1731174Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1731423Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1731791Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251>
2022-11-23T01:32:30.1732060Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1732317Z [2022-11-23 01:25:54,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1732601Z [2022-11-23 01:25:54,463] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1732853Z [2022-11-23 01:25:54,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1733071Z [2022-11-23 01:25:54,467] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1733206Z  __compiled_fn_176 <eval_with_key>.1103 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1733299Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1733475Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.1733729Z call_function, permute, <built-in method permute of type object at 0x7f209c394c60>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:30.1733912Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T01:32:30.1734166Z call_function, permute_1, <built-in method permute of type object at 0x7f209c394c60>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:30.1734355Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T01:32:30.1734468Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:30.1734473Z 
2022-11-23T01:32:30.1734794Z [2022-11-23 01:25:54,467] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1734897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1734994Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1735086Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1735187Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1735279Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1735371Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1735453Z              12 RETURN_VALUE
2022-11-23T01:32:30.1735459Z 
2022-11-23T01:32:30.1735517Z  
2022-11-23T01:32:30.1735840Z [2022-11-23 01:25:54,467] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1735957Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_176)
2022-11-23T01:32:30.1736054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1736148Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1736228Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1736320Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1736424Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1736532Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1736627Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1736711Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1736817Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1736910Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1736991Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1737087Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.1737161Z              26 RETURN_VALUE
2022-11-23T01:32:30.1737166Z 
2022-11-23T01:32:30.1737231Z  
2022-11-23T01:32:30.1737421Z [2022-11-23 01:25:54,468] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1737496Z  - 
2022-11-23T01:32:30.1737621Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1737689Z             {
2022-11-23T01:32:30.1737833Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1738014Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1738140Z                 'obj_weakref': None
2022-11-23T01:32:30.1738364Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1738433Z             }
2022-11-23T01:32:30.1738501Z             
2022-11-23T01:32:30.1738575Z  - 
2022-11-23T01:32:30.1738705Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1738922Z             {
2022-11-23T01:32:30.1739077Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1739189Z                 'code': None,
2022-11-23T01:32:30.1739400Z                 'obj_weakref': <weakref at 0x7f201e3232e0; to 'Tensor' at 0x7f20727c1fd0>
2022-11-23T01:32:30.1739688Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1739756Z             }
2022-11-23T01:32:30.1739824Z             
2022-11-23T01:32:30.1739892Z  - 
2022-11-23T01:32:30.1740025Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1740093Z             {
2022-11-23T01:32:30.1740231Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1740406Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1740528Z                 'obj_weakref': None
2022-11-23T01:32:30.1740757Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1740824Z             }
2022-11-23T01:32:30.1740896Z             
2022-11-23T01:32:30.1740971Z  - 
2022-11-23T01:32:30.1741097Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1741167Z             {
2022-11-23T01:32:30.1741311Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1741527Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1741643Z                 'obj_weakref': None
2022-11-23T01:32:30.1741866Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1741937Z             }
2022-11-23T01:32:30.1742006Z             
2022-11-23T01:32:30.1742082Z  - 
2022-11-23T01:32:30.1742220Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1742290Z             {
2022-11-23T01:32:30.1742409Z                 'guard_types': None,
2022-11-23T01:32:30.1742522Z                 'code': None,
2022-11-23T01:32:30.1742645Z                 'obj_weakref': None
2022-11-23T01:32:30.1742774Z                 'guarded_class': None
2022-11-23T01:32:30.1742843Z             }
2022-11-23T01:32:30.1742912Z             
2022-11-23T01:32:30.1743170Z [2022-11-23 01:25:54,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169
2022-11-23T01:32:30.1743531Z [2022-11-23 01:25:56,027] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gd/cgdbjpzhhwarsbrbowua6zzhosqdtxxd3ni5lmz7r2557ik7tyd3.py
2022-11-23T01:32:30.1743799Z [2022-11-23 01:25:56,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169
2022-11-23T01:32:30.1743805Z 
2022-11-23T01:32:30.1743904Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1743978Z import torch
2022-11-23T01:32:30.1744052Z import random
2022-11-23T01:32:30.1744176Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1750707Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1750716Z 
2022-11-23T01:32:30.1750819Z aten = torch.ops.aten
2022-11-23T01:32:30.1750958Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1751057Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1751065Z 
2022-11-23T01:32:30.1751141Z import triton
2022-11-23T01:32:30.1751235Z import triton.language as tl
2022-11-23T01:32:30.1751364Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1751533Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1751539Z 
2022-11-23T01:32:30.1751543Z 
2022-11-23T01:32:30.1751723Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1751933Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1752053Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1752160Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1752263Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1752329Z {
2022-11-23T01:32:30.1752510Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1752581Z     {
2022-11-23T01:32:30.1752664Z         #pragma omp for 
2022-11-23T01:32:30.1752746Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.1752838Z         {
2022-11-23T01:32:30.1752987Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1753126Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1753217Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1753357Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.1753451Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1753532Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.1753630Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1753726Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.1753794Z         }
2022-11-23T01:32:30.1753894Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1753986Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.1754056Z         {
2022-11-23T01:32:30.1754138Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1754244Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.1754337Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1754439Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.1754530Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.1754618Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.1754703Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1754781Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:30.1754850Z         }
2022-11-23T01:32:30.1754919Z     }
2022-11-23T01:32:30.1754986Z }
2022-11-23T01:32:30.1755074Z ''')
2022-11-23T01:32:30.1755080Z 
2022-11-23T01:32:30.1755085Z 
2022-11-23T01:32:30.1755180Z async_compile.wait(globals())
2022-11-23T01:32:30.1755257Z del async_compile
2022-11-23T01:32:30.1755263Z 
2022-11-23T01:32:30.1755332Z def call(args):
2022-11-23T01:32:30.1755408Z     arg0_1, = args
2022-11-23T01:32:30.1755484Z     args.clear()
2022-11-23T01:32:30.1755703Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1755924Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1756097Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.1756170Z     del arg0_1
2022-11-23T01:32:30.1756251Z     return (buf0, buf1, )
2022-11-23T01:32:30.1756257Z 
2022-11-23T01:32:30.1756261Z 
2022-11-23T01:32:30.1756335Z if __name__ == "__main__":
2022-11-23T01:32:30.1756457Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1756588Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1756805Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1756922Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1756927Z 
2022-11-23T01:32:30.1756999Z ok (1.577s)
2022-11-23T01:32:30.1757296Z   test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1757622Z [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1757836Z [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1758092Z [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1758369Z [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1758717Z [2022-11-23 01:25:56,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1759057Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1759406Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1759777Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510> 
2022-11-23T01:32:30.1759879Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T01:32:30.1759980Z                2 BUILD_TUPLE              1
2022-11-23T01:32:30.1760202Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>)
2022-11-23T01:32:30.1760436Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:30.1760543Z                8 MAKE_FUNCTION            8 (closure)
2022-11-23T01:32:30.1760644Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:30.1760792Z               12 LOAD_CONST               3 (-8)
2022-11-23T01:32:30.1760890Z               14 LOAD_CONST               4 (9)
2022-11-23T01:32:30.1760988Z               16 CALL_FUNCTION            2
2022-11-23T01:32:30.1761065Z               18 GET_ITER
2022-11-23T01:32:30.1761161Z               20 CALL_FUNCTION            1
2022-11-23T01:32:30.1761237Z               22 RETURN_VALUE
2022-11-23T01:32:30.1761304Z  
2022-11-23T01:32:30.1761310Z 
2022-11-23T01:32:30.1761649Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511
2022-11-23T01:32:30.1761894Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T01:32:30.1762144Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T01:32:30.1762562Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T01:32:30.1762928Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T01:32:30.1763240Z [2022-11-23 01:25:56,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:30.1763514Z [2022-11-23 01:25:56,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T01:32:30.1763824Z [2022-11-23 01:25:56,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T01:32:30.1764154Z [2022-11-23 01:25:56,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:30.1764539Z [2022-11-23 01:25:56,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.1764836Z [2022-11-23 01:25:56,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T01:32:30.1765150Z [2022-11-23 01:25:56,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1765561Z [2022-11-23 01:25:56,035] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 
2022-11-23T01:32:30.1765661Z  2511           0 BUILD_LIST               0
2022-11-23T01:32:30.1765759Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:30.1765885Z          >>    4 FOR_ITER                 8 (to 22)
2022-11-23T01:32:30.1765981Z                6 STORE_FAST               1 (e)
2022-11-23T01:32:30.1766074Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1766175Z               10 LOAD_METHOD              1 (pow)
2022-11-23T01:32:30.1766271Z               12 LOAD_DEREF               0 (x)
2022-11-23T01:32:30.1766367Z               14 LOAD_FAST                1 (e)
2022-11-23T01:32:30.1766462Z               16 CALL_METHOD              2
2022-11-23T01:32:30.1766558Z               18 LIST_APPEND              2
2022-11-23T01:32:30.1766660Z               20 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:30.1766735Z          >>   22 RETURN_VALUE
2022-11-23T01:32:30.1766801Z  
2022-11-23T01:32:30.1766806Z 
2022-11-23T01:32:30.1767029Z [2022-11-23 01:25:56,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:30.1767268Z [2022-11-23 01:25:56,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:30.1767549Z [2022-11-23 01:25:56,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1767865Z [2022-11-23 01:25:56,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1768148Z [2022-11-23 01:25:56,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1768516Z [2022-11-23 01:25:56,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1768837Z [2022-11-23 01:25:56,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1769180Z [2022-11-23 01:25:56,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1769558Z [2022-11-23 01:25:56,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1769866Z [2022-11-23 01:25:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1770149Z [2022-11-23 01:25:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1770424Z [2022-11-23 01:25:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1770742Z [2022-11-23 01:25:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1771025Z [2022-11-23 01:25:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1771389Z [2022-11-23 01:25:56,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1771706Z [2022-11-23 01:25:56,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1772072Z [2022-11-23 01:25:56,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1772499Z [2022-11-23 01:25:56,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1772808Z [2022-11-23 01:25:56,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1773118Z [2022-11-23 01:25:56,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1773383Z [2022-11-23 01:25:56,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1773692Z [2022-11-23 01:25:56,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1773976Z [2022-11-23 01:25:56,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1774342Z [2022-11-23 01:25:56,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1774657Z [2022-11-23 01:25:56,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1775001Z [2022-11-23 01:25:56,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1775382Z [2022-11-23 01:25:56,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1775685Z [2022-11-23 01:25:56,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1775968Z [2022-11-23 01:25:56,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1776244Z [2022-11-23 01:25:56,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1776556Z [2022-11-23 01:25:56,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1776833Z [2022-11-23 01:25:56,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1777200Z [2022-11-23 01:25:56,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1777515Z [2022-11-23 01:25:56,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1777856Z [2022-11-23 01:25:56,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1778236Z [2022-11-23 01:25:56,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1778545Z [2022-11-23 01:25:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1778960Z [2022-11-23 01:25:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1779239Z [2022-11-23 01:25:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1779550Z [2022-11-23 01:25:56,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1779888Z [2022-11-23 01:25:56,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1780254Z [2022-11-23 01:25:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1780594Z [2022-11-23 01:25:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1780932Z [2022-11-23 01:25:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1781308Z [2022-11-23 01:25:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1781618Z [2022-11-23 01:25:56,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1781903Z [2022-11-23 01:25:56,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1782176Z [2022-11-23 01:25:56,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1782488Z [2022-11-23 01:25:56,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1782772Z [2022-11-23 01:25:56,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1783138Z [2022-11-23 01:25:56,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1783455Z [2022-11-23 01:25:56,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1783796Z [2022-11-23 01:25:56,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1784179Z [2022-11-23 01:25:56,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1784470Z [2022-11-23 01:25:56,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1784746Z [2022-11-23 01:25:56,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1785023Z [2022-11-23 01:25:56,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1785335Z [2022-11-23 01:25:56,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1785616Z [2022-11-23 01:25:56,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1785981Z [2022-11-23 01:25:56,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1786297Z [2022-11-23 01:25:56,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1786633Z [2022-11-23 01:25:56,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1787037Z [2022-11-23 01:25:56,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1787345Z [2022-11-23 01:25:56,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1787645Z [2022-11-23 01:25:56,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1787910Z [2022-11-23 01:25:56,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1788221Z [2022-11-23 01:25:56,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1788502Z [2022-11-23 01:25:56,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1788867Z [2022-11-23 01:25:56,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1789187Z [2022-11-23 01:25:56,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1789529Z [2022-11-23 01:25:56,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1789908Z [2022-11-23 01:25:56,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1790213Z [2022-11-23 01:25:56,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1790582Z [2022-11-23 01:25:56,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1790855Z [2022-11-23 01:25:56,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1791164Z [2022-11-23 01:25:56,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1791441Z [2022-11-23 01:25:56,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1791806Z [2022-11-23 01:25:56,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1792120Z [2022-11-23 01:25:56,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1792455Z [2022-11-23 01:25:56,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1792828Z [2022-11-23 01:25:56,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1793133Z [2022-11-23 01:25:56,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1793415Z [2022-11-23 01:25:56,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1793690Z [2022-11-23 01:25:56,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1794000Z [2022-11-23 01:25:56,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1794314Z [2022-11-23 01:25:56,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1794679Z [2022-11-23 01:25:56,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1795017Z [2022-11-23 01:25:56,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1795346Z [2022-11-23 01:25:56,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1795723Z [2022-11-23 01:25:56,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1796032Z [2022-11-23 01:25:56,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1796311Z [2022-11-23 01:25:56,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1796591Z [2022-11-23 01:25:56,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1796900Z [2022-11-23 01:25:56,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1797180Z [2022-11-23 01:25:56,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1797544Z [2022-11-23 01:25:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1797861Z [2022-11-23 01:25:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1798197Z [2022-11-23 01:25:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1798576Z [2022-11-23 01:25:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1798881Z [2022-11-23 01:25:56,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1799156Z [2022-11-23 01:25:56,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1799426Z [2022-11-23 01:25:56,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1799737Z [2022-11-23 01:25:56,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1800019Z [2022-11-23 01:25:56,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1800385Z [2022-11-23 01:25:56,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1800698Z [2022-11-23 01:25:56,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1801036Z [2022-11-23 01:25:56,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1801441Z [2022-11-23 01:25:56,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1801743Z [2022-11-23 01:25:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1802071Z [2022-11-23 01:25:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1802371Z [2022-11-23 01:25:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1802675Z [2022-11-23 01:25:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1802955Z [2022-11-23 01:25:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1803323Z [2022-11-23 01:25:56,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1803639Z [2022-11-23 01:25:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1803981Z [2022-11-23 01:25:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1804359Z [2022-11-23 01:25:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1804666Z [2022-11-23 01:25:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1804948Z [2022-11-23 01:25:56,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1805223Z [2022-11-23 01:25:56,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1805535Z [2022-11-23 01:25:56,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1805820Z [2022-11-23 01:25:56,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1806173Z [2022-11-23 01:25:56,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1806489Z [2022-11-23 01:25:56,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1806830Z [2022-11-23 01:25:56,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1807208Z [2022-11-23 01:25:56,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1807515Z [2022-11-23 01:25:56,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1807798Z [2022-11-23 01:25:56,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1808071Z [2022-11-23 01:25:56,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1808381Z [2022-11-23 01:25:56,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1808687Z [2022-11-23 01:25:56,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1809053Z [2022-11-23 01:25:56,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1809384Z [2022-11-23 01:25:56,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1809721Z [2022-11-23 01:25:56,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1810093Z [2022-11-23 01:25:56,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1810407Z [2022-11-23 01:25:56,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1810689Z [2022-11-23 01:25:56,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1810968Z [2022-11-23 01:25:56,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1811280Z [2022-11-23 01:25:56,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1811560Z [2022-11-23 01:25:56,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1811922Z [2022-11-23 01:25:56,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1812284Z [2022-11-23 01:25:56,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1812624Z [2022-11-23 01:25:56,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1813008Z [2022-11-23 01:25:56,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1813313Z [2022-11-23 01:25:56,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1813591Z [2022-11-23 01:25:56,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1813856Z [2022-11-23 01:25:56,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1814167Z [2022-11-23 01:25:56,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1814449Z [2022-11-23 01:25:56,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1814812Z [2022-11-23 01:25:56,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1815126Z [2022-11-23 01:25:56,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1815463Z [2022-11-23 01:25:56,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1815864Z [2022-11-23 01:25:56,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1816172Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.1816476Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1816749Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.1816999Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.1817383Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>
2022-11-23T01:32:30.1817634Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.1818010Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510>
2022-11-23T01:32:30.1818256Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.1818494Z [2022-11-23 01:25:56,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1818751Z [2022-11-23 01:25:56,155] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1819192Z [2022-11-23 01:25:56,165] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1819386Z [2022-11-23 01:25:56,165] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1819530Z  __compiled_fn_177 <eval_with_key>.1109 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1819619Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1819776Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T01:32:30.1819929Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T01:32:30.1820087Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T01:32:30.1820239Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T01:32:30.1820390Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T01:32:30.1820541Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T01:32:30.1820690Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T01:32:30.1820833Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T01:32:30.1820944Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T01:32:30.1821053Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T01:32:30.1821161Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T01:32:30.1821273Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T01:32:30.1821383Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T01:32:30.1821487Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T01:32:30.1821586Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T01:32:30.1821692Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T01:32:30.1821799Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T01:32:30.1822026Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T01:32:30.1822032Z 
2022-11-23T01:32:30.1822384Z [2022-11-23 01:25:56,165] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1822486Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1822581Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1822673Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1822813Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1822909Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1823006Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1823122Z              12 RETURN_VALUE
2022-11-23T01:32:30.1823128Z 
2022-11-23T01:32:30.1823194Z  
2022-11-23T01:32:30.1823519Z [2022-11-23 01:25:56,166] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1823638Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_177)
2022-11-23T01:32:30.1823735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1823825Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1823910Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1824003Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1824114Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1824226Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1824322Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1824405Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1824508Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1824602Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1824686Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1824795Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1824891Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1824972Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1825078Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1825165Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1825247Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1825352Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1825445Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.1825530Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.1825639Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1825733Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:30.1825811Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.1825916Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1826009Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:30.1826089Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.1826193Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1826285Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:30.1826368Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.1826466Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1826560Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:30.1826641Z              64 BINARY_SUBSCR
2022-11-23T01:32:30.1826749Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1826840Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:30.1826923Z              70 BINARY_SUBSCR
2022-11-23T01:32:30.1827030Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1827127Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:30.1827202Z              76 BINARY_SUBSCR
2022-11-23T01:32:30.1827309Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1827404Z              80 LOAD_CONST              12 (11)
2022-11-23T01:32:30.1827486Z              82 BINARY_SUBSCR
2022-11-23T01:32:30.1827590Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1827685Z              86 LOAD_CONST              13 (12)
2022-11-23T01:32:30.1827765Z              88 BINARY_SUBSCR
2022-11-23T01:32:30.1827862Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1827957Z              92 LOAD_CONST              14 (13)
2022-11-23T01:32:30.1828079Z              94 BINARY_SUBSCR
2022-11-23T01:32:30.1828189Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1828284Z              98 LOAD_CONST              15 (14)
2022-11-23T01:32:30.1828386Z             100 BINARY_SUBSCR
2022-11-23T01:32:30.1828491Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1828578Z             104 LOAD_CONST              16 (15)
2022-11-23T01:32:30.1828659Z             106 BINARY_SUBSCR
2022-11-23T01:32:30.1828763Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1828856Z             110 LOAD_CONST              17 (16)
2022-11-23T01:32:30.1828935Z             112 BINARY_SUBSCR
2022-11-23T01:32:30.1829030Z             114 BUILD_LIST              17
2022-11-23T01:32:30.1829112Z             116 RETURN_VALUE
2022-11-23T01:32:30.1829117Z 
2022-11-23T01:32:30.1829176Z  
2022-11-23T01:32:30.1829369Z [2022-11-23 01:25:56,166] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1829446Z  - 
2022-11-23T01:32:30.1829573Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1829644Z             {
2022-11-23T01:32:30.1829789Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1829981Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1830098Z                 'obj_weakref': None
2022-11-23T01:32:30.1830396Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1830481Z             }
2022-11-23T01:32:30.1830568Z             
2022-11-23T01:32:30.1830655Z  - 
2022-11-23T01:32:30.1830783Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1830851Z             {
2022-11-23T01:32:30.1830991Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1831102Z                 'code': None,
2022-11-23T01:32:30.1831311Z                 'obj_weakref': <weakref at 0x7f20233380e0; to 'Tensor' at 0x7f20601ec680>
2022-11-23T01:32:30.1831565Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1831633Z             }
2022-11-23T01:32:30.1831701Z             
2022-11-23T01:32:30.1831776Z  - 
2022-11-23T01:32:30.1831907Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1831978Z             {
2022-11-23T01:32:30.1832141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1832341Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1832467Z                 'obj_weakref': None
2022-11-23T01:32:30.1832699Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1832768Z             }
2022-11-23T01:32:30.1832830Z             
2022-11-23T01:32:30.1832904Z  - 
2022-11-23T01:32:30.1833032Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1833100Z             {
2022-11-23T01:32:30.1833244Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1833462Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1833585Z                 'obj_weakref': None
2022-11-23T01:32:30.1833801Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1833874Z             }
2022-11-23T01:32:30.1833941Z             
2022-11-23T01:32:30.1834015Z  - 
2022-11-23T01:32:30.1834152Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1834220Z             {
2022-11-23T01:32:30.1834345Z                 'guard_types': None,
2022-11-23T01:32:30.1834451Z                 'code': None,
2022-11-23T01:32:30.1834575Z                 'obj_weakref': None
2022-11-23T01:32:30.1834700Z                 'guarded_class': None
2022-11-23T01:32:30.1834771Z             }
2022-11-23T01:32:30.1834843Z             
2022-11-23T01:32:30.1834919Z  - 
2022-11-23T01:32:30.1835047Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:30.1835117Z             {
2022-11-23T01:32:30.1835278Z                 'guard_types': None,
2022-11-23T01:32:30.1835391Z                 'code': None,
2022-11-23T01:32:30.1835513Z                 'obj_weakref': None
2022-11-23T01:32:30.1835638Z                 'guarded_class': None
2022-11-23T01:32:30.1835735Z             }
2022-11-23T01:32:30.1835796Z             
2022-11-23T01:32:30.1836055Z [2022-11-23 01:25:56,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170
2022-11-23T01:32:30.1836421Z [2022-11-23 01:25:57,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nt/cntubwl5z7hd2v7amciceafhjjwcloy2l276xjmtchiaddcxbyf7.py
2022-11-23T01:32:30.1836684Z [2022-11-23 01:25:57,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170
2022-11-23T01:32:30.1836690Z 
2022-11-23T01:32:30.1836790Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1836864Z import torch
2022-11-23T01:32:30.1836939Z import random
2022-11-23T01:32:30.1837063Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1837182Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1837195Z 
2022-11-23T01:32:30.1837271Z aten = torch.ops.aten
2022-11-23T01:32:30.1837413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1837513Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1837518Z 
2022-11-23T01:32:30.1837593Z import triton
2022-11-23T01:32:30.1837689Z import triton.language as tl
2022-11-23T01:32:30.1837816Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1837960Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1837965Z 
2022-11-23T01:32:30.1837970Z 
2022-11-23T01:32:30.1838100Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1838309Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1838436Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1838546Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1838651Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.1838753Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.1838856Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.1838960Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.1839052Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:30.1839152Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:30.1839251Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:30.1839352Z                        float* __restrict__ out_ptr8,
2022-11-23T01:32:30.1839455Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:30.1839561Z                        float* __restrict__ out_ptr10,
2022-11-23T01:32:30.1839664Z                        float* __restrict__ out_ptr11,
2022-11-23T01:32:30.1839763Z                        float* __restrict__ out_ptr12,
2022-11-23T01:32:30.1839865Z                        float* __restrict__ out_ptr13,
2022-11-23T01:32:30.1839966Z                        float* __restrict__ out_ptr14,
2022-11-23T01:32:30.1840069Z                        float* __restrict__ out_ptr15)
2022-11-23T01:32:30.1840135Z {
2022-11-23T01:32:30.1840239Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1840306Z     {
2022-11-23T01:32:30.1840381Z         #pragma omp for 
2022-11-23T01:32:30.1840471Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.1840540Z         {
2022-11-23T01:32:30.1840685Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1840787Z             auto tmp1 = tmp0.reciprocal();
2022-11-23T01:32:30.1840884Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:32:30.1840973Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:32:30.1841053Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:30.1841139Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:32:30.1841297Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:32:30.1841386Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:32:30.1841473Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:32:30.1841617Z             auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.1841732Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:32:30.1841816Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:32:30.1841909Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:32:30.1842009Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:30.1842113Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:32:30.1842216Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:32:30.1842316Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:32:30.1842413Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1842502Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.1842599Z             tmp6.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.1842696Z             tmp8.store(out_ptr3 + 8*i0);
2022-11-23T01:32:30.1842788Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:32:30.1842880Z             tmp5.store(out_ptr5 + 8*i0);
2022-11-23T01:32:30.1842973Z             tmp2.store(out_ptr6 + 8*i0);
2022-11-23T01:32:30.1843069Z             tmp1.store(out_ptr7 + 8*i0);
2022-11-23T01:32:30.1843156Z             tmp9.store(out_ptr8 + 8*i0);
2022-11-23T01:32:30.1843253Z             tmp10.store(out_ptr9 + 8*i0);
2022-11-23T01:32:30.1843351Z             tmp11.store(out_ptr10 + 8*i0);
2022-11-23T01:32:30.1843451Z             tmp12.store(out_ptr11 + 8*i0);
2022-11-23T01:32:30.1843547Z             tmp13.store(out_ptr12 + 8*i0);
2022-11-23T01:32:30.1843644Z             tmp14.store(out_ptr13 + 8*i0);
2022-11-23T01:32:30.1843738Z             tmp15.store(out_ptr14 + 8*i0);
2022-11-23T01:32:30.1843825Z             tmp16.store(out_ptr15 + 8*i0);
2022-11-23T01:32:30.1843894Z         }
2022-11-23T01:32:30.1843994Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1844087Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.1844154Z         {
2022-11-23T01:32:30.1844246Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1844331Z             auto tmp1 = 1 / tmp0;
2022-11-23T01:32:30.1844418Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:32:30.1844507Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:32:30.1844595Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:30.1844687Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:32:30.1844772Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:32:30.1844857Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:32:30.1844944Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:32:30.1845043Z             auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:30.1845134Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:32:30.1845224Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:32:30.1845314Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:32:30.1845404Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:30.1845497Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:32:30.1845585Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:32:30.1845667Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:32:30.1845753Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.1845841Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:30.1845928Z             out_ptr2[i0] = tmp6;
2022-11-23T01:32:30.1846010Z             out_ptr3[i0] = tmp8;
2022-11-23T01:32:30.1846092Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:30.1846173Z             out_ptr5[i0] = tmp5;
2022-11-23T01:32:30.1846249Z             out_ptr6[i0] = tmp2;
2022-11-23T01:32:30.1846331Z             out_ptr7[i0] = tmp1;
2022-11-23T01:32:30.1846413Z             out_ptr8[i0] = tmp9;
2022-11-23T01:32:30.1846497Z             out_ptr9[i0] = tmp10;
2022-11-23T01:32:30.1846584Z             out_ptr10[i0] = tmp11;
2022-11-23T01:32:30.1846672Z             out_ptr11[i0] = tmp12;
2022-11-23T01:32:30.1846758Z             out_ptr12[i0] = tmp13;
2022-11-23T01:32:30.1846863Z             out_ptr13[i0] = tmp14;
2022-11-23T01:32:30.1846948Z             out_ptr14[i0] = tmp15;
2022-11-23T01:32:30.1847031Z             out_ptr15[i0] = tmp16;
2022-11-23T01:32:30.1847099Z         }
2022-11-23T01:32:30.1847188Z     }
2022-11-23T01:32:30.1847253Z }
2022-11-23T01:32:30.1847336Z ''')
2022-11-23T01:32:30.1847348Z 
2022-11-23T01:32:30.1847353Z 
2022-11-23T01:32:30.1847440Z async_compile.wait(globals())
2022-11-23T01:32:30.1847518Z del async_compile
2022-11-23T01:32:30.1847523Z 
2022-11-23T01:32:30.1847598Z def call(args):
2022-11-23T01:32:30.1847672Z     arg0_1, = args
2022-11-23T01:32:30.1847749Z     args.clear()
2022-11-23T01:32:30.1847958Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1848166Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1848360Z     buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1848561Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1848756Z     buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1848952Z     buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1849151Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1849343Z     buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1849535Z     buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1849725Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1849919Z     buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1850121Z     buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1850321Z     buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1850522Z     buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1850719Z     buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1850916Z     buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1851401Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()))
2022-11-23T01:32:30.1851594Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T01:32:30.1851601Z 
2022-11-23T01:32:30.1851611Z 
2022-11-23T01:32:30.1851700Z if __name__ == "__main__":
2022-11-23T01:32:30.1851840Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1851967Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1852165Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1852277Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1852283Z 
2022-11-23T01:32:30.1852355Z ok (1.764s)
2022-11-23T01:32:30.1852657Z   test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:57,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1852970Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1853190Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1853472Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1853751Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1854093Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1854424Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1854742Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1855110Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519> 
2022-11-23T01:32:30.1855215Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1855316Z                2 LOAD_METHOD              1 (pow)
2022-11-23T01:32:30.1855414Z                4 LOAD_CONST               1 (1000)
2022-11-23T01:32:30.1855514Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1855609Z                8 CALL_METHOD              2
2022-11-23T01:32:30.1855700Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.1855799Z               12 LOAD_METHOD              1 (pow)
2022-11-23T01:32:30.1855894Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1855992Z               16 LOAD_CONST               1 (1000)
2022-11-23T01:32:30.1856085Z               18 CALL_METHOD              2
2022-11-23T01:32:30.1856178Z               20 BUILD_TUPLE              2
2022-11-23T01:32:30.1856259Z               22 RETURN_VALUE
2022-11-23T01:32:30.1856318Z  
2022-11-23T01:32:30.1856330Z 
2022-11-23T01:32:30.1856640Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520
2022-11-23T01:32:30.1856859Z [2022-11-23 01:25:57,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.1857164Z [2022-11-23 01:25:57,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1857419Z [2022-11-23 01:25:57,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T01:32:30.1857703Z [2022-11-23 01:25:57,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T01:32:30.1858017Z [2022-11-23 01:25:57,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.1858263Z [2022-11-23 01:25:57,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.1858588Z [2022-11-23 01:25:57,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.1858985Z [2022-11-23 01:25:57,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:30.1859292Z [2022-11-23 01:25:57,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:30.1859624Z [2022-11-23 01:25:57,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.1859887Z [2022-11-23 01:25:57,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1860180Z [2022-11-23 01:25:57,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1860555Z [2022-11-23 01:25:57,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519>
2022-11-23T01:32:30.1860829Z [2022-11-23 01:25:57,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1861066Z [2022-11-23 01:25:57,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1861320Z [2022-11-23 01:25:57,812] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1861571Z [2022-11-23 01:25:57,815] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1861761Z [2022-11-23 01:25:57,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1861894Z  __compiled_fn_178 <eval_with_key>.1115 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1861991Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1862104Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T01:32:30.1862217Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T01:32:30.1862332Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T01:32:30.1862338Z 
2022-11-23T01:32:30.1862662Z [2022-11-23 01:25:57,815] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1862762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1862857Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1862943Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1863041Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1863132Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1863226Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1863307Z              12 RETURN_VALUE
2022-11-23T01:32:30.1863315Z 
2022-11-23T01:32:30.1863379Z  
2022-11-23T01:32:30.1863698Z [2022-11-23 01:25:57,815] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1863817Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_178)
2022-11-23T01:32:30.1863907Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1864005Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1864089Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1864183Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1864293Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1864402Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1864497Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1864572Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1864681Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1864778Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1864861Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1864953Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.1865037Z              26 RETURN_VALUE
2022-11-23T01:32:30.1865042Z 
2022-11-23T01:32:30.1865106Z  
2022-11-23T01:32:30.1865284Z [2022-11-23 01:25:57,816] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1865359Z  - 
2022-11-23T01:32:30.1865483Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1865553Z             {
2022-11-23T01:32:30.1865698Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1865888Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1866012Z                 'obj_weakref': None
2022-11-23T01:32:30.1866235Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1866298Z             }
2022-11-23T01:32:30.1866366Z             
2022-11-23T01:32:30.1866469Z  - 
2022-11-23T01:32:30.1866598Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1866667Z             {
2022-11-23T01:32:30.1866815Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1866942Z                 'code': None,
2022-11-23T01:32:30.1867152Z                 'obj_weakref': <weakref at 0x7f20602047c0; to 'Tensor' at 0x7f206070e2a0>
2022-11-23T01:32:30.1867403Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1867473Z             }
2022-11-23T01:32:30.1867541Z             
2022-11-23T01:32:30.1867614Z  - 
2022-11-23T01:32:30.1867750Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1867811Z             {
2022-11-23T01:32:30.1867951Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1868127Z                 'code': ['___check_obj_id(model, 139780073970496)'],
2022-11-23T01:32:30.1868252Z                 'obj_weakref': None
2022-11-23T01:32:30.1868484Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1868553Z             }
2022-11-23T01:32:30.1868622Z             
2022-11-23T01:32:30.1868693Z  - 
2022-11-23T01:32:30.1868820Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1868889Z             {
2022-11-23T01:32:30.1869030Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1869247Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1869371Z                 'obj_weakref': None
2022-11-23T01:32:30.1869592Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1869661Z             }
2022-11-23T01:32:30.1869722Z             
2022-11-23T01:32:30.1869797Z  - 
2022-11-23T01:32:30.1869932Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.1870000Z             {
2022-11-23T01:32:30.1870126Z                 'guard_types': None,
2022-11-23T01:32:30.1870240Z                 'code': None,
2022-11-23T01:32:30.1870443Z                 'obj_weakref': None
2022-11-23T01:32:30.1870567Z                 'guarded_class': None
2022-11-23T01:32:30.1870640Z             }
2022-11-23T01:32:30.1870708Z             
2022-11-23T01:32:30.1870968Z [2022-11-23 01:25:57,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171
2022-11-23T01:32:30.1871329Z [2022-11-23 01:25:59,365] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2z/c2ziddopsd5mpyzvzty7llh74u6g4mp3xklosn4chsoundxaeygh.py
2022-11-23T01:32:30.1871593Z [2022-11-23 01:25:59,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171
2022-11-23T01:32:30.1871599Z 
2022-11-23T01:32:30.1871698Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1871765Z import torch
2022-11-23T01:32:30.1871839Z import random
2022-11-23T01:32:30.1871960Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1872087Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1872092Z 
2022-11-23T01:32:30.1872175Z aten = torch.ops.aten
2022-11-23T01:32:30.1872316Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1872419Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1872424Z 
2022-11-23T01:32:30.1872498Z import triton
2022-11-23T01:32:30.1872584Z import triton.language as tl
2022-11-23T01:32:30.1872710Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1872857Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1872863Z 
2022-11-23T01:32:30.1872867Z 
2022-11-23T01:32:30.1873007Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1873215Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1873339Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1873447Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1873595Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1873655Z {
2022-11-23T01:32:30.1873758Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1873851Z     {
2022-11-23T01:32:30.1873935Z         #pragma omp for 
2022-11-23T01:32:30.1874022Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.1874094Z         {
2022-11-23T01:32:30.1874229Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.1874377Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1000));
2022-11-23T01:32:30.1874471Z             auto tmp2 = tmp0.pow(tmp1);
2022-11-23T01:32:30.1874565Z             auto tmp3 = tmp1.pow(tmp0);
2022-11-23T01:32:30.1874663Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.1874759Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.1874827Z         }
2022-11-23T01:32:30.1874927Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.1875012Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.1875079Z         {
2022-11-23T01:32:30.1875168Z             auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:30.1875276Z             auto tmp0 = static_cast<float>(1000);
2022-11-23T01:32:30.1875388Z             auto tmp2 = std::pow(tmp0, tmp1);
2022-11-23T01:32:30.1875492Z             auto tmp3 = std::pow(tmp1, tmp0);
2022-11-23T01:32:30.1875579Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.1875657Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.1875724Z         }
2022-11-23T01:32:30.1875793Z     }
2022-11-23T01:32:30.1875857Z }
2022-11-23T01:32:30.1875945Z ''')
2022-11-23T01:32:30.1875951Z 
2022-11-23T01:32:30.1875956Z 
2022-11-23T01:32:30.1876050Z async_compile.wait(globals())
2022-11-23T01:32:30.1876128Z del async_compile
2022-11-23T01:32:30.1876133Z 
2022-11-23T01:32:30.1876201Z def call(args):
2022-11-23T01:32:30.1876276Z     arg0_1, = args
2022-11-23T01:32:30.1876353Z     args.clear()
2022-11-23T01:32:30.1876560Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1876763Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1876930Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.1877006Z     del arg0_1
2022-11-23T01:32:30.1877081Z     return (buf0, buf1, )
2022-11-23T01:32:30.1877094Z 
2022-11-23T01:32:30.1877099Z 
2022-11-23T01:32:30.1877172Z if __name__ == "__main__":
2022-11-23T01:32:30.1877291Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1877422Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1877623Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1877739Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1877744Z 
2022-11-23T01:32:30.1877816Z ok (1.573s)
2022-11-23T01:32:30.1878319Z   test_pow3_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.1878401Z   warnings.warn(
2022-11-23T01:32:30.1878633Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.1878948Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2535
2022-11-23T01:32:30.1879170Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1879539Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1879891Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1880249Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:30.1880697Z [2022-11-23 01:25:59,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:32:30.1881096Z [2022-11-23 01:25:59,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:30.1881534Z [2022-11-23 01:25:59,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.1881804Z [2022-11-23 01:25:59,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:30.1882130Z [2022-11-23 01:25:59,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2536
2022-11-23T01:32:30.1882344Z [2022-11-23 01:25:59,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:30.1882577Z [2022-11-23 01:25:59,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.1882847Z [2022-11-23 01:25:59,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1883080Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:30.1883396Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2537
2022-11-23T01:32:30.1883615Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1883970Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1884283Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1884621Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1884999Z [2022-11-23 01:25:59,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.1885251Z [2022-11-23 01:25:59,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.1885479Z [2022-11-23 01:25:59,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.1885724Z [2022-11-23 01:25:59,375] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.1885963Z [2022-11-23 01:25:59,378] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.1886156Z [2022-11-23 01:25:59,378] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1886298Z  __compiled_fn_179 <eval_with_key>.1121 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1886387Z placeholder, x, x, (), {}
2022-11-23T01:32:30.1886635Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (0.123,), {'device': 'cpu'}
2022-11-23T01:32:30.1886814Z call_function, add, <built-in function add>, (tensor, x), {}
2022-11-23T01:32:30.1887058Z call_function, pow_1, <built-in method pow of type object at 0x7f209c394c60>, (add, 0.5), {}
2022-11-23T01:32:30.1887163Z output, output, output, ((pow_1,),), {}
2022-11-23T01:32:30.1887169Z 
2022-11-23T01:32:30.1887517Z [2022-11-23 01:25:59,378] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:30.1887620Z 2535           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1887720Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.1887816Z                4 LOAD_CONST               1 (0.123)
2022-11-23T01:32:30.1887916Z                6 LOAD_DEREF               0 (self)
2022-11-23T01:32:30.1888016Z                8 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.1888162Z               10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:30.1888261Z               12 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.1888360Z               14 STORE_FAST               1 (z)
2022-11-23T01:32:30.1888368Z 
2022-11-23T01:32:30.1888464Z 2536          16 LOAD_FAST                1 (z)
2022-11-23T01:32:30.1888558Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1888636Z               20 BINARY_ADD
2022-11-23T01:32:30.1888735Z               22 STORE_FAST               2 (w)
2022-11-23T01:32:30.1888740Z 
2022-11-23T01:32:30.1888839Z 2537          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1888930Z               26 LOAD_METHOD              3 (pow)
2022-11-23T01:32:30.1889023Z               28 LOAD_FAST                2 (w)
2022-11-23T01:32:30.1889121Z               30 LOAD_CONST               3 (0.5)
2022-11-23T01:32:30.1889214Z               32 CALL_METHOD              2
2022-11-23T01:32:30.1889296Z               34 RETURN_VALUE
2022-11-23T01:32:30.1889301Z 
2022-11-23T01:32:30.1889367Z  
2022-11-23T01:32:30.1889687Z [2022-11-23 01:25:59,379] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:30.1889812Z 2534           0 LOAD_GLOBAL              4 (__compiled_fn_179)
2022-11-23T01:32:30.1889899Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.1889994Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.1890093Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.1890175Z                8 RETURN_VALUE
2022-11-23T01:32:30.1890180Z 
2022-11-23T01:32:30.1890245Z  
2022-11-23T01:32:30.1890429Z [2022-11-23 01:25:59,379] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1890506Z  - 
2022-11-23T01:32:30.1890624Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.1890692Z             {
2022-11-23T01:32:30.1890839Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1890951Z                 'code': None,
2022-11-23T01:32:30.1891162Z                 'obj_weakref': <weakref at 0x7f2022f5d490; to 'Tensor' at 0x7f201e3a5530>
2022-11-23T01:32:30.1891416Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1891492Z             }
2022-11-23T01:32:30.1891570Z             
2022-11-23T01:32:30.1891655Z  - 
2022-11-23T01:32:30.1891808Z             local 'self' TYPE_MATCH
2022-11-23T01:32:30.1891881Z             {
2022-11-23T01:32:30.1892024Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.1892198Z                 'code': ['___check_type_id(self, 94768409579680)'],
2022-11-23T01:32:30.1892410Z                 'obj_weakref': <weakref at 0x7f20230b52b0; to 'CpuTests' at 0x7f2151ee1d80>
2022-11-23T01:32:30.1892635Z                 'guarded_class': <weakref at 0x7f2151fa3ce0; to 'type' at 0x5630fd6390a0 (CpuTests)>
2022-11-23T01:32:30.1892704Z             }
2022-11-23T01:32:30.1892772Z             
2022-11-23T01:32:30.1892846Z  - 
2022-11-23T01:32:30.1892994Z             local 'self.device' CONSTANT_MATCH
2022-11-23T01:32:30.1893063Z             {
2022-11-23T01:32:30.1893207Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.1893446Z                 'code': ['___check_type_id(self.device, 94768292446400)', "self.device == 'cpu'"],
2022-11-23T01:32:30.1893570Z                 'obj_weakref': None
2022-11-23T01:32:30.1893813Z                 'guarded_class': <weakref at 0x7f2158fe1080; to 'type' at 0x5630f66840c0 (str)>
2022-11-23T01:32:30.1893880Z             }
2022-11-23T01:32:30.1893946Z             
2022-11-23T01:32:30.1894021Z  - 
2022-11-23T01:32:30.1894158Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1894219Z             {
2022-11-23T01:32:30.1894345Z                 'guard_types': None,
2022-11-23T01:32:30.1894458Z                 'code': None,
2022-11-23T01:32:30.1894580Z                 'obj_weakref': None
2022-11-23T01:32:30.1894706Z                 'guarded_class': None
2022-11-23T01:32:30.1894774Z             }
2022-11-23T01:32:30.1894842Z             
2022-11-23T01:32:30.1895102Z [2022-11-23 01:25:59,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172
2022-11-23T01:32:30.1895470Z [2022-11-23 01:26:00,908] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zi/czipu7kew6iu2xr6k3cpopzbv4cptxeuqjndghxjyxkvcsfaksif.py
2022-11-23T01:32:30.1895740Z [2022-11-23 01:26:00,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172
2022-11-23T01:32:30.1895746Z 
2022-11-23T01:32:30.1895844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1895919Z import torch
2022-11-23T01:32:30.1895993Z import random
2022-11-23T01:32:30.1896114Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1896243Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1896249Z 
2022-11-23T01:32:30.1896324Z aten = torch.ops.aten
2022-11-23T01:32:30.1896464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1896562Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1896567Z 
2022-11-23T01:32:30.1896641Z import triton
2022-11-23T01:32:30.1896737Z import triton.language as tl
2022-11-23T01:32:30.1896864Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1897008Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1897017Z 
2022-11-23T01:32:30.1897021Z 
2022-11-23T01:32:30.1897159Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1897361Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1897487Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1897592Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.1897659Z {
2022-11-23T01:32:30.1897726Z     {
2022-11-23T01:32:30.1897794Z         {
2022-11-23T01:32:30.1897884Z             auto tmp1 = in_ptr0[0];
2022-11-23T01:32:30.1897994Z             auto tmp0 = static_cast<float>(0.12300000339746475);
2022-11-23T01:32:30.1898083Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.1898182Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:30.1898270Z             out_ptr0[0] = tmp3;
2022-11-23T01:32:30.1898338Z         }
2022-11-23T01:32:30.1898405Z     }
2022-11-23T01:32:30.1898470Z }
2022-11-23T01:32:30.1898548Z ''')
2022-11-23T01:32:30.1898556Z 
2022-11-23T01:32:30.1898567Z 
2022-11-23T01:32:30.1898655Z async_compile.wait(globals())
2022-11-23T01:32:30.1898735Z del async_compile
2022-11-23T01:32:30.1898740Z 
2022-11-23T01:32:30.1898936Z def call(args):
2022-11-23T01:32:30.1899012Z     arg0_1, = args
2022-11-23T01:32:30.1899088Z     args.clear()
2022-11-23T01:32:30.1899278Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1899417Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.1899483Z     del arg0_1
2022-11-23T01:32:30.1899561Z     return (buf0, )
2022-11-23T01:32:30.1899566Z 
2022-11-23T01:32:30.1899570Z 
2022-11-23T01:32:30.1899651Z if __name__ == "__main__":
2022-11-23T01:32:30.1899771Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1899947Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1900143Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1900256Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1900288Z 
2022-11-23T01:32:30.1900354Z ok (1.542s)
2022-11-23T01:32:30.1900688Z   test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:26:00,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.1901003Z [2022-11-23 01:26:00,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3876
2022-11-23T01:32:30.1901227Z [2022-11-23 01:26:00,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.1901600Z [2022-11-23 01:26:00,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1901921Z [2022-11-23 01:26:00,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1902273Z [2022-11-23 01:26:00,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1902520Z [2022-11-23 01:26:00,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.1902909Z [2022-11-23 01:26:00,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.1903255Z [2022-11-23 01:26:00,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.1903632Z [2022-11-23 01:26:00,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.1903905Z [2022-11-23 01:26:00,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1904144Z [2022-11-23 01:26:00,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1904379Z [2022-11-23 01:26:00,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.1904622Z [2022-11-23 01:26:00,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.1904861Z [2022-11-23 01:26:00,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.1905052Z [2022-11-23 01:26:00,919] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1905197Z  __compiled_fn_180 <eval_with_key>.1127 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1905287Z placeholder, a, a, (), {}
2022-11-23T01:32:30.1905431Z call_function, rand_like_3, <function rand_like at 0x7f206923f010>, (a,), {}
2022-11-23T01:32:30.1905566Z call_function, rand_like_2, <function rand_like at 0x7f206923f010>, (a,), {}
2022-11-23T01:32:30.1905693Z output, output, output, ((rand_like_3, rand_like_2),), {}
2022-11-23T01:32:30.1905698Z 
2022-11-23T01:32:30.1906018Z [2022-11-23 01:26:00,919] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:30.1906119Z 3876           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1906224Z                2 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:30.1906322Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1906416Z                6 CALL_METHOD              1
2022-11-23T01:32:30.1906541Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.1906639Z               10 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:30.1906737Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1906857Z               14 CALL_METHOD              1
2022-11-23T01:32:30.1906952Z               16 BUILD_TUPLE              2
2022-11-23T01:32:30.1907033Z               18 RETURN_VALUE
2022-11-23T01:32:30.1907038Z 
2022-11-23T01:32:30.1907105Z  
2022-11-23T01:32:30.1907421Z [2022-11-23 01:26:00,919] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:30.1907538Z 3874           0 LOAD_GLOBAL              2 (__compiled_fn_180)
2022-11-23T01:32:30.1907626Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1907719Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.1907833Z                6 STORE_FAST               1 (___graph_out_0)
2022-11-23T01:32:30.1907945Z                8 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:30.1908041Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1908124Z               12 BINARY_SUBSCR
2022-11-23T01:32:30.1908231Z               14 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:30.1908322Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1908403Z               18 BINARY_SUBSCR
2022-11-23T01:32:30.1908497Z               20 BUILD_TUPLE              2
2022-11-23T01:32:30.1908577Z               22 RETURN_VALUE
2022-11-23T01:32:30.1908582Z 
2022-11-23T01:32:30.1908648Z  
2022-11-23T01:32:30.1908835Z [2022-11-23 01:26:00,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1908910Z  - 
2022-11-23T01:32:30.1909028Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:30.1909099Z             {
2022-11-23T01:32:30.1909246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1909358Z                 'code': None,
2022-11-23T01:32:30.1909571Z                 'obj_weakref': <weakref at 0x7f201e3219e0; to 'Tensor' at 0x7f2022f33c40>
2022-11-23T01:32:30.1909818Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1909890Z             }
2022-11-23T01:32:30.1909961Z             
2022-11-23T01:32:30.1910029Z  - 
2022-11-23T01:32:30.1910171Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.1910240Z             {
2022-11-23T01:32:30.1910443Z                 'guard_types': None,
2022-11-23T01:32:30.1910577Z                 'code': None,
2022-11-23T01:32:30.1910701Z                 'obj_weakref': None
2022-11-23T01:32:30.1910820Z                 'guarded_class': None
2022-11-23T01:32:30.1910888Z             }
2022-11-23T01:32:30.1910954Z             
2022-11-23T01:32:30.1911211Z [2022-11-23 01:26:00,926] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173
2022-11-23T01:32:30.1911479Z [2022-11-23 01:26:00,926] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:30.1911883Z [2022-11-23 01:26:02,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xw/cxw4fqusyvopyw66ft3ptwybzyf4lgpwujwih5zmaaek6gurs6gj.py
2022-11-23T01:32:30.1912146Z [2022-11-23 01:26:02,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173
2022-11-23T01:32:30.1912152Z 
2022-11-23T01:32:30.1912250Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1912316Z import torch
2022-11-23T01:32:30.1912390Z import random
2022-11-23T01:32:30.1912512Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1912638Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1912644Z 
2022-11-23T01:32:30.1912725Z aten = torch.ops.aten
2022-11-23T01:32:30.1912866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1912964Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1912969Z 
2022-11-23T01:32:30.1913043Z import triton
2022-11-23T01:32:30.1913159Z import triton.language as tl
2022-11-23T01:32:30.1913288Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1913430Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1913619Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:30.1913625Z 
2022-11-23T01:32:30.1913629Z 
2022-11-23T01:32:30.1913767Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1913977Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1914098Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:30.1914203Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1914298Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.1914363Z {
2022-11-23T01:32:30.1914467Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.1914535Z     {
2022-11-23T01:32:30.1914621Z         #pragma omp for 
2022-11-23T01:32:30.1914713Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:30.1914782Z         {
2022-11-23T01:32:30.1914843Z             {
2022-11-23T01:32:30.1914913Z                 {
2022-11-23T01:32:30.1915009Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:30.1915118Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:30.1915263Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:30.1915377Z                     auto tmp3 = static_cast<int>(1024 + i0);
2022-11-23T01:32:30.1915523Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp0, tmp3));;
2022-11-23T01:32:30.1915607Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.1915696Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.1915769Z                 }
2022-11-23T01:32:30.1915840Z             }
2022-11-23T01:32:30.1915910Z         }
2022-11-23T01:32:30.1915978Z     }
2022-11-23T01:32:30.1916043Z }
2022-11-23T01:32:30.1916122Z ''')
2022-11-23T01:32:30.1916128Z 
2022-11-23T01:32:30.1916133Z 
2022-11-23T01:32:30.1916227Z async_compile.wait(globals())
2022-11-23T01:32:30.1916304Z del async_compile
2022-11-23T01:32:30.1916313Z 
2022-11-23T01:32:30.1916390Z def call(args):
2022-11-23T01:32:30.1916463Z     arg0_1, = args
2022-11-23T01:32:30.1916538Z     args.clear()
2022-11-23T01:32:30.1916680Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:30.1916872Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1917068Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1917249Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.1917330Z     return (buf0, buf1, )
2022-11-23T01:32:30.1917336Z 
2022-11-23T01:32:30.1917340Z 
2022-11-23T01:32:30.1917421Z if __name__ == "__main__":
2022-11-23T01:32:30.1917543Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1917672Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1917867Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1918060Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1918172Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1918178Z 
2022-11-23T01:32:30.1918249Z ok (1.570s)
2022-11-23T01:32:30.1918556Z   test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1918871Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1919090Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1919387Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1919667Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1920015Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1920351Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1920660Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1921025Z [2022-11-23 01:26:02,483] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771> 
2022-11-23T01:32:30.1921126Z  772           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1921225Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.1921319Z               4 CALL_METHOD              0
2022-11-23T01:32:30.1921419Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1921519Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:30.1921610Z              10 CALL_METHOD              0
2022-11-23T01:32:30.1921697Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1921805Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:30.1921911Z              16 CALL_METHOD              0
2022-11-23T01:32:30.1922023Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1922131Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:30.1922222Z              22 CALL_METHOD              0
2022-11-23T01:32:30.1922315Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1922411Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T01:32:30.1922501Z              28 CALL_METHOD              0
2022-11-23T01:32:30.1922594Z              30 BUILD_TUPLE              5
2022-11-23T01:32:30.1922675Z              32 RETURN_VALUE
2022-11-23T01:32:30.1922744Z  
2022-11-23T01:32:30.1922749Z 
2022-11-23T01:32:30.1923062Z [2022-11-23 01:26:02,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772
2022-11-23T01:32:30.1923276Z [2022-11-23 01:26:02,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.1923522Z [2022-11-23 01:26:02,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.1923798Z [2022-11-23 01:26:02,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.1924035Z [2022-11-23 01:26:02,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.1924305Z [2022-11-23 01:26:02,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1924609Z [2022-11-23 01:26:02,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.1924874Z [2022-11-23 01:26:02,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1925164Z [2022-11-23 01:26:02,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1925497Z [2022-11-23 01:26:02,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.1925783Z [2022-11-23 01:26:02,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1926132Z [2022-11-23 01:26:02,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1926486Z [2022-11-23 01:26:02,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:30.1926822Z [2022-11-23 01:26:02,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1927162Z [2022-11-23 01:26:02,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1927541Z [2022-11-23 01:26:02,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:30.1927891Z [2022-11-23 01:26:02,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1928145Z [2022-11-23 01:26:02,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1928517Z [2022-11-23 01:26:02,489] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771>
2022-11-23T01:32:30.1928760Z [2022-11-23 01:26:02,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1928995Z [2022-11-23 01:26:02,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1929247Z [2022-11-23 01:26:02,490] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1929500Z [2022-11-23 01:26:02,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1929692Z [2022-11-23 01:26:02,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1929825Z  __compiled_fn_181 <eval_with_key>.1133 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1929923Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1930019Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:30.1930112Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:30.1930205Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:30.1930307Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:30.1930409Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:30.1930538Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T01:32:30.1930557Z 
2022-11-23T01:32:30.1930873Z [2022-11-23 01:26:02,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1930975Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1931073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1931165Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1931268Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1931359Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1931452Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1931526Z              12 RETURN_VALUE
2022-11-23T01:32:30.1931539Z 
2022-11-23T01:32:30.1931597Z  
2022-11-23T01:32:30.1931962Z [2022-11-23 01:26:02,494] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1932079Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_181)
2022-11-23T01:32:30.1932174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1932270Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1932378Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1932472Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1932575Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1932684Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1932801Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1932883Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1932992Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1933086Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1933164Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1933264Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1933361Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1933443Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1933548Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1933642Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1933725Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1933829Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1933915Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.1933999Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.1934093Z              42 BUILD_TUPLE              5
2022-11-23T01:32:30.1934174Z              44 RETURN_VALUE
2022-11-23T01:32:30.1934180Z 
2022-11-23T01:32:30.1934243Z  
2022-11-23T01:32:30.1934429Z [2022-11-23 01:26:02,494] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1934505Z  - 
2022-11-23T01:32:30.1934631Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1934694Z             {
2022-11-23T01:32:30.1934838Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1935026Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1935150Z                 'obj_weakref': None
2022-11-23T01:32:30.1935379Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1935447Z             }
2022-11-23T01:32:30.1935515Z             
2022-11-23T01:32:30.1935583Z  - 
2022-11-23T01:32:30.1935713Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1935784Z             {
2022-11-23T01:32:30.1935930Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1936042Z                 'code': None,
2022-11-23T01:32:30.1936254Z                 'obj_weakref': <weakref at 0x7f2022f5f330; to 'Tensor' at 0x7f20601264d0>
2022-11-23T01:32:30.1936501Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1936563Z             }
2022-11-23T01:32:30.1936631Z             
2022-11-23T01:32:30.1936708Z  - 
2022-11-23T01:32:30.1936844Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1936912Z             {
2022-11-23T01:32:30.1937052Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1937229Z                 'code': ['___check_obj_id(model, 139776003457232)'],
2022-11-23T01:32:30.1937345Z                 'obj_weakref': None
2022-11-23T01:32:30.1937574Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1937645Z             }
2022-11-23T01:32:30.1937714Z             
2022-11-23T01:32:30.1937789Z  - 
2022-11-23T01:32:30.1937914Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1937975Z             {
2022-11-23T01:32:30.1938115Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1938329Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1938451Z                 'obj_weakref': None
2022-11-23T01:32:30.1938674Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1938743Z             }
2022-11-23T01:32:30.1938930Z             
2022-11-23T01:32:30.1939236Z [2022-11-23 01:26:02,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174
2022-11-23T01:32:30.1939594Z [2022-11-23 01:26:04,040] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6du63lzaok3xd4dv6arfnxdkuuspu5vunhevypww4s5lr45xnv5.py
2022-11-23T01:32:30.1939922Z [2022-11-23 01:26:04,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174
2022-11-23T01:32:30.1939928Z 
2022-11-23T01:32:30.1940027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1940102Z import torch
2022-11-23T01:32:30.1940176Z import random
2022-11-23T01:32:30.1940297Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1940422Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1940428Z 
2022-11-23T01:32:30.1940510Z aten = torch.ops.aten
2022-11-23T01:32:30.1940642Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1940740Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1940745Z 
2022-11-23T01:32:30.1940823Z import triton
2022-11-23T01:32:30.1940913Z import triton.language as tl
2022-11-23T01:32:30.1941041Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1941187Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1941193Z 
2022-11-23T01:32:30.1941197Z 
2022-11-23T01:32:30.1941336Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1941547Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1941679Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1941798Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1941922Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.1942024Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.1942127Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:30.1942228Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:30.1942298Z {
2022-11-23T01:32:30.1942359Z     {
2022-11-23T01:32:30.1942426Z         {
2022-11-23T01:32:30.1942507Z             float tmp1 = 0;
2022-11-23T01:32:30.1942741Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1942874Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1942998Z             struct IndexValue_7 {size_t index; float value;};
2022-11-23T01:32:30.1943220Z             IndexValue_7 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.1943362Z             #pragma omp declare reduction(argmax : struct IndexValue_7 :\
2022-11-23T01:32:30.1943515Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.1943669Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.1943901Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.1944028Z             struct IndexValue_8 {size_t index; float value;};
2022-11-23T01:32:30.1944165Z             IndexValue_8 tmp5{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.1944302Z             #pragma omp declare reduction(argmin : struct IndexValue_8 :\
2022-11-23T01:32:30.1944455Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.1944602Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.1944744Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.1944835Z             for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:30.1944904Z             {
2022-11-23T01:32:30.1944973Z                 {
2022-11-23T01:32:30.1945072Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1945156Z                     tmp1 += tmp0;
2022-11-23T01:32:30.1945262Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.1945399Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:30.1945493Z                     if (tmp4.value < tmp0) {
2022-11-23T01:32:30.1945608Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:30.1945708Z                     }
2022-11-23T01:32:30.1945805Z                     if (tmp5.value > tmp0) {
2022-11-23T01:32:30.1945918Z                         tmp5.index = i0; tmp5.value = tmp0;
2022-11-23T01:32:30.1945990Z                     }
2022-11-23T01:32:30.1946060Z                 }
2022-11-23T01:32:30.1946121Z             }
2022-11-23T01:32:30.1946206Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:30.1946288Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:30.1946371Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:30.1946464Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:30.1946555Z             out_ptr4[0] = tmp5.index;
2022-11-23T01:32:30.1946616Z         }
2022-11-23T01:32:30.1946683Z     }
2022-11-23T01:32:30.1946748Z }
2022-11-23T01:32:30.1946838Z ''')
2022-11-23T01:32:30.1946843Z 
2022-11-23T01:32:30.1946848Z 
2022-11-23T01:32:30.1946943Z async_compile.wait(globals())
2022-11-23T01:32:30.1947025Z del async_compile
2022-11-23T01:32:30.1947030Z 
2022-11-23T01:32:30.1947108Z def call(args):
2022-11-23T01:32:30.1947183Z     arg0_1, = args
2022-11-23T01:32:30.1947252Z     args.clear()
2022-11-23T01:32:30.1947442Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1947623Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1947802Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1947980Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1948157Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1948404Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:30.1948471Z     del arg0_1
2022-11-23T01:32:30.1948573Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:30.1948578Z 
2022-11-23T01:32:30.1948583Z 
2022-11-23T01:32:30.1948670Z if __name__ == "__main__":
2022-11-23T01:32:30.1948789Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1948916Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1949109Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1949221Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1949227Z 
2022-11-23T01:32:30.1949298Z ok (1.562s)
2022-11-23T01:32:30.1949606Z   test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1949912Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1950136Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1950461Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1950743Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1951058Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1951395Z [2022-11-23 01:26:04,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1951714Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1952110Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777> 
2022-11-23T01:32:30.1952213Z  779           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1952339Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.1952426Z               4 CALL_METHOD              0
2022-11-23T01:32:30.1952522Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1952620Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:30.1952712Z              10 CALL_METHOD              0
2022-11-23T01:32:30.1952807Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1952907Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:30.1952999Z              16 CALL_METHOD              0
2022-11-23T01:32:30.1953086Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1953186Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T01:32:30.1953281Z              22 CALL_METHOD              0
2022-11-23T01:32:30.1953374Z              24 BUILD_TUPLE              4
2022-11-23T01:32:30.1953457Z              26 RETURN_VALUE
2022-11-23T01:32:30.1953529Z  
2022-11-23T01:32:30.1953534Z 
2022-11-23T01:32:30.1953848Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779
2022-11-23T01:32:30.1954055Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.1954300Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.1954579Z [2022-11-23 01:26:04,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.1954816Z [2022-11-23 01:26:04,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.1955084Z [2022-11-23 01:26:04,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1955391Z [2022-11-23 01:26:04,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.1955661Z [2022-11-23 01:26:04,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1955955Z [2022-11-23 01:26:04,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1956283Z [2022-11-23 01:26:04,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.1956574Z [2022-11-23 01:26:04,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1956900Z [2022-11-23 01:26:04,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1957252Z [2022-11-23 01:26:04,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:30.1957574Z [2022-11-23 01:26:04,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1957818Z [2022-11-23 01:26:04,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1958184Z [2022-11-23 01:26:04,049] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777>
2022-11-23T01:32:30.1958428Z [2022-11-23 01:26:04,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1958690Z [2022-11-23 01:26:04,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1958944Z [2022-11-23 01:26:04,050] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1959216Z [2022-11-23 01:26:04,053] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1959407Z [2022-11-23 01:26:04,053] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1959547Z  __compiled_fn_182 <eval_with_key>.1139 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1959634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1959733Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:30.1959826Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:30.1959917Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:30.1960017Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:30.1960147Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T01:32:30.1960153Z 
2022-11-23T01:32:30.1960477Z [2022-11-23 01:26:04,054] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1960573Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1960670Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1960761Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1960861Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1960951Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1961045Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1961126Z              12 RETURN_VALUE
2022-11-23T01:32:30.1961131Z 
2022-11-23T01:32:30.1961196Z  
2022-11-23T01:32:30.1961511Z [2022-11-23 01:26:04,054] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1961642Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_182)
2022-11-23T01:32:30.1961750Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1961863Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1961954Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1962045Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1962156Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1962258Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1962354Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1962436Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1962545Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1962638Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1962718Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1962826Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1962917Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1962997Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1963104Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1963198Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1963282Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1963374Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.1963455Z              38 RETURN_VALUE
2022-11-23T01:32:30.1963460Z 
2022-11-23T01:32:30.1963526Z  
2022-11-23T01:32:30.1963706Z [2022-11-23 01:26:04,055] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1963787Z  - 
2022-11-23T01:32:30.1963911Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1963981Z             {
2022-11-23T01:32:30.1964127Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1964319Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1964444Z                 'obj_weakref': None
2022-11-23T01:32:30.1964712Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1964784Z             }
2022-11-23T01:32:30.1964853Z             
2022-11-23T01:32:30.1964930Z  - 
2022-11-23T01:32:30.1965085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1965154Z             {
2022-11-23T01:32:30.1965294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1965406Z                 'code': None,
2022-11-23T01:32:30.1965613Z                 'obj_weakref': <weakref at 0x7f2022f10040; to 'Tensor' at 0x7f20601254e0>
2022-11-23T01:32:30.1965863Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1965932Z             }
2022-11-23T01:32:30.1966001Z             
2022-11-23T01:32:30.1966078Z  - 
2022-11-23T01:32:30.1966214Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1966275Z             {
2022-11-23T01:32:30.1966415Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1966591Z                 'code': ['___check_obj_id(model, 139776004109456)'],
2022-11-23T01:32:30.1966715Z                 'obj_weakref': None
2022-11-23T01:32:30.1966947Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1967022Z             }
2022-11-23T01:32:30.1967092Z             
2022-11-23T01:32:30.1967160Z  - 
2022-11-23T01:32:30.1967288Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1967356Z             {
2022-11-23T01:32:30.1967498Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1967718Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1967841Z                 'obj_weakref': None
2022-11-23T01:32:30.1968066Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1968127Z             }
2022-11-23T01:32:30.1968194Z             
2022-11-23T01:32:30.1968460Z [2022-11-23 01:26:04,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175
2022-11-23T01:32:30.1968832Z [2022-11-23 01:26:05,600] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gm/cgmh3omeqnjpdmihapd6qbk6innbv3d2fnpbpdjoyzuuks2jw6c4.py
2022-11-23T01:32:30.1969104Z [2022-11-23 01:26:05,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175
2022-11-23T01:32:30.1969110Z 
2022-11-23T01:32:30.1969208Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1969284Z import torch
2022-11-23T01:32:30.1969358Z import random
2022-11-23T01:32:30.1969473Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1969598Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1969604Z 
2022-11-23T01:32:30.1969687Z aten = torch.ops.aten
2022-11-23T01:32:30.1969826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1969924Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1969931Z 
2022-11-23T01:32:30.1970004Z import triton
2022-11-23T01:32:30.1970099Z import triton.language as tl
2022-11-23T01:32:30.1970219Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1970364Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1970369Z 
2022-11-23T01:32:30.1970374Z 
2022-11-23T01:32:30.1970512Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1970721Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1970846Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1970952Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1971056Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.1971157Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.1971252Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:30.1971320Z {
2022-11-23T01:32:30.1971418Z     {
2022-11-23T01:32:30.1971490Z         {
2022-11-23T01:32:30.1971585Z             float tmp1 = 0;
2022-11-23T01:32:30.1971827Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1971985Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1972103Z             struct IndexValue_9 {size_t index; float value;};
2022-11-23T01:32:30.1972243Z             IndexValue_9 tmp4{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.1972389Z             #pragma omp declare reduction(argmin : struct IndexValue_9 :\
2022-11-23T01:32:30.1972543Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.1972696Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.1972845Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.1972934Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.1973005Z             {
2022-11-23T01:32:30.1973068Z                 {
2022-11-23T01:32:30.1973166Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.1973251Z                     tmp1 += tmp0;
2022-11-23T01:32:30.1973359Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.1973462Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:30.1973559Z                     if (tmp4.value > tmp0) {
2022-11-23T01:32:30.1973673Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:30.1973745Z                     }
2022-11-23T01:32:30.1973808Z                 }
2022-11-23T01:32:30.1973877Z             }
2022-11-23T01:32:30.1973961Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:30.1974046Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:30.1974126Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:30.1974217Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:30.1974279Z         }
2022-11-23T01:32:30.1974346Z     }
2022-11-23T01:32:30.1974418Z }
2022-11-23T01:32:30.1974505Z ''')
2022-11-23T01:32:30.1974511Z 
2022-11-23T01:32:30.1974515Z 
2022-11-23T01:32:30.1974609Z async_compile.wait(globals())
2022-11-23T01:32:30.1974685Z del async_compile
2022-11-23T01:32:30.1974694Z 
2022-11-23T01:32:30.1974769Z def call(args):
2022-11-23T01:32:30.1974836Z     arg0_1, = args
2022-11-23T01:32:30.1974915Z     args.clear()
2022-11-23T01:32:30.1975110Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1975291Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1975469Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1975648Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.1975863Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.1975937Z     del arg0_1
2022-11-23T01:32:30.1976025Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.1976031Z 
2022-11-23T01:32:30.1976043Z 
2022-11-23T01:32:30.1976117Z if __name__ == "__main__":
2022-11-23T01:32:30.1976236Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.1976370Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.1976565Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.1976677Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.1976682Z 
2022-11-23T01:32:30.1976753Z ok (1.560s)
2022-11-23T01:32:30.1977056Z   test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.1977369Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.1977613Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.1977869Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.1978142Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.1978482Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1978946Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1979268Z [2022-11-23 01:26:05,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.1979637Z [2022-11-23 01:26:05,605] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784> 
2022-11-23T01:32:30.1979736Z  786           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1979835Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.1979925Z               4 CALL_METHOD              0
2022-11-23T01:32:30.1980023Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1980121Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:30.1980212Z              10 CALL_METHOD              0
2022-11-23T01:32:30.1980304Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1980404Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:30.1980495Z              16 CALL_METHOD              0
2022-11-23T01:32:30.1980581Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.1980682Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:30.1980773Z              22 CALL_METHOD              0
2022-11-23T01:32:30.1980869Z              24 BUILD_TUPLE              4
2022-11-23T01:32:30.1980950Z              26 RETURN_VALUE
2022-11-23T01:32:30.1981017Z  
2022-11-23T01:32:30.1981022Z 
2022-11-23T01:32:30.1981333Z [2022-11-23 01:26:05,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786
2022-11-23T01:32:30.1981548Z [2022-11-23 01:26:05,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.1981783Z [2022-11-23 01:26:05,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.1982059Z [2022-11-23 01:26:05,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.1982293Z [2022-11-23 01:26:05,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.1982559Z [2022-11-23 01:26:05,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1982866Z [2022-11-23 01:26:05,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.1983132Z [2022-11-23 01:26:05,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1983423Z [2022-11-23 01:26:05,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1983750Z [2022-11-23 01:26:05,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.1984043Z [2022-11-23 01:26:05,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1984411Z [2022-11-23 01:26:05,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1984773Z [2022-11-23 01:26:05,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:30.1985117Z [2022-11-23 01:26:05,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.1985366Z [2022-11-23 01:26:05,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1985738Z [2022-11-23 01:26:05,609] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784>
2022-11-23T01:32:30.1985982Z [2022-11-23 01:26:05,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.1986224Z [2022-11-23 01:26:05,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.1986483Z [2022-11-23 01:26:05,610] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.1986738Z [2022-11-23 01:26:05,612] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.1986935Z [2022-11-23 01:26:05,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.1987075Z  __compiled_fn_183 <eval_with_key>.1145 opcode, name, target, args, kwargs
2022-11-23T01:32:30.1987163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.1987259Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:30.1987352Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:30.1987442Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:30.1987547Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:30.1987675Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T01:32:30.1987681Z 
2022-11-23T01:32:30.1988012Z [2022-11-23 01:26:05,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1988114Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.1988210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1988303Z               4 BUILD_MAP                0
2022-11-23T01:32:30.1988402Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.1988495Z               8 DICT_MERGE               1
2022-11-23T01:32:30.1988588Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.1988669Z              12 RETURN_VALUE
2022-11-23T01:32:30.1988674Z 
2022-11-23T01:32:30.1988739Z  
2022-11-23T01:32:30.1989064Z [2022-11-23 01:26:05,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.1989171Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_183)
2022-11-23T01:32:30.1989271Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.1989366Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1989449Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.1989545Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.1989655Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.1989764Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1989852Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.1989934Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.1990042Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1990136Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.1990216Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.1990396Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1990505Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.1990591Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.1990748Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.1990846Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.1990927Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.1991046Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.1991127Z              38 RETURN_VALUE
2022-11-23T01:32:30.1991132Z 
2022-11-23T01:32:30.1991198Z  
2022-11-23T01:32:30.1991381Z [2022-11-23 01:26:05,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.1991457Z  - 
2022-11-23T01:32:30.1991583Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.1991654Z             {
2022-11-23T01:32:30.1991801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.1991989Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.1992113Z                 'obj_weakref': None
2022-11-23T01:32:30.1992331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.1992403Z             }
2022-11-23T01:32:30.1992472Z             
2022-11-23T01:32:30.1992546Z  - 
2022-11-23T01:32:30.1992673Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.1992746Z             {
2022-11-23T01:32:30.1992891Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.1992996Z                 'code': None,
2022-11-23T01:32:30.1993209Z                 'obj_weakref': <weakref at 0x7f2151eec680; to 'Tensor' at 0x7f2022eb9940>
2022-11-23T01:32:30.1993456Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.1993525Z             }
2022-11-23T01:32:30.1993592Z             
2022-11-23T01:32:30.1993666Z  - 
2022-11-23T01:32:30.1993803Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.1993864Z             {
2022-11-23T01:32:30.1994003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.1994180Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.1994307Z                 'obj_weakref': None
2022-11-23T01:32:30.1994538Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.1994610Z             }
2022-11-23T01:32:30.1994678Z             
2022-11-23T01:32:30.1994746Z  - 
2022-11-23T01:32:30.1994873Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.1994940Z             {
2022-11-23T01:32:30.1995082Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.1995304Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.1995429Z                 'obj_weakref': None
2022-11-23T01:32:30.1995653Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.1995714Z             }
2022-11-23T01:32:30.1995783Z             
2022-11-23T01:32:30.1996051Z [2022-11-23 01:26:05,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176
2022-11-23T01:32:30.1996415Z [2022-11-23 01:26:07,158] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuvajmwx2la3n4osewea6gv66yah4yitiiunyyjglposuqte7phb.py
2022-11-23T01:32:30.1996686Z [2022-11-23 01:26:07,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176
2022-11-23T01:32:30.1996692Z 
2022-11-23T01:32:30.1996791Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.1996865Z import torch
2022-11-23T01:32:30.1996940Z import random
2022-11-23T01:32:30.1997054Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.1997180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.1997186Z 
2022-11-23T01:32:30.1997269Z aten = torch.ops.aten
2022-11-23T01:32:30.1997410Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.1997508Z async_compile = AsyncCompile()
2022-11-23T01:32:30.1997513Z 
2022-11-23T01:32:30.1997587Z import triton
2022-11-23T01:32:30.1997714Z import triton.language as tl
2022-11-23T01:32:30.1997842Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.1997978Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.1998007Z 
2022-11-23T01:32:30.1998019Z 
2022-11-23T01:32:30.1998151Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.1998361Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.1998486Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.1998593Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.1998696Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.1998797Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.1998901Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:30.1998959Z {
2022-11-23T01:32:30.1999026Z     {
2022-11-23T01:32:30.1999093Z         {
2022-11-23T01:32:30.1999179Z             float tmp1 = 0;
2022-11-23T01:32:30.1999389Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1999518Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.1999646Z             struct IndexValue_10 {size_t index; float value;};
2022-11-23T01:32:30.1999866Z             IndexValue_10 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.2000010Z             #pragma omp declare reduction(argmax : struct IndexValue_10 :\
2022-11-23T01:32:30.2000165Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.2000318Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.2000553Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.2000649Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.2000719Z             {
2022-11-23T01:32:30.2000787Z                 {
2022-11-23T01:32:30.2000881Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2000965Z                     tmp1 += tmp0;
2022-11-23T01:32:30.2001070Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:30.2001177Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:30.2001277Z                     if (tmp4.value < tmp0) {
2022-11-23T01:32:30.2001392Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:30.2001465Z                     }
2022-11-23T01:32:30.2001529Z                 }
2022-11-23T01:32:30.2001600Z             }
2022-11-23T01:32:30.2001685Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:30.2001772Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:30.2001873Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:30.2001970Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:30.2002055Z         }
2022-11-23T01:32:30.2002117Z     }
2022-11-23T01:32:30.2002180Z }
2022-11-23T01:32:30.2002267Z ''')
2022-11-23T01:32:30.2002273Z 
2022-11-23T01:32:30.2002280Z 
2022-11-23T01:32:30.2002375Z async_compile.wait(globals())
2022-11-23T01:32:30.2002451Z del async_compile
2022-11-23T01:32:30.2002457Z 
2022-11-23T01:32:30.2002532Z def call(args):
2022-11-23T01:32:30.2002609Z     arg0_1, = args
2022-11-23T01:32:30.2002678Z     args.clear()
2022-11-23T01:32:30.2002873Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2003062Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2003244Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2003426Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2003645Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.2003720Z     del arg0_1
2022-11-23T01:32:30.2003814Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.2003819Z 
2022-11-23T01:32:30.2003852Z 
2022-11-23T01:32:30.2003928Z if __name__ == "__main__":
2022-11-23T01:32:30.2004049Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2004177Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2004398Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2004514Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2004519Z 
2022-11-23T01:32:30.2004592Z ok (1.558s)
2022-11-23T01:32:30.2004825Z   test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.001s)
2022-11-23T01:32:30.2005158Z   test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:07,163] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2005477Z [2022-11-23 01:26:07,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2005693Z [2022-11-23 01:26:07,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2005950Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2006231Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2006548Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2006895Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2007219Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2007594Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:30.2007697Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2007827Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:30.2007927Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:30.2008024Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2008130Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:30.2008226Z               10 CALL_METHOD              3
2022-11-23T01:32:30.2008306Z               12 RETURN_VALUE
2022-11-23T01:32:30.2008373Z  
2022-11-23T01:32:30.2008378Z 
2022-11-23T01:32:30.2008694Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:30.2008918Z [2022-11-23 01:26:07,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2009251Z [2022-11-23 01:26:07,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2009550Z [2022-11-23 01:26:07,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:30.2009858Z [2022-11-23 01:26:07,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:30.2010203Z [2022-11-23 01:26:07,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2010564Z [2022-11-23 01:26:07,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2010849Z [2022-11-23 01:26:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2011221Z [2022-11-23 01:26:07,172] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:30.2011502Z [2022-11-23 01:26:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2011777Z [2022-11-23 01:26:07,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2012030Z [2022-11-23 01:26:07,173] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2012281Z [2022-11-23 01:26:07,175] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2012467Z [2022-11-23 01:26:07,175] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2012612Z  __compiled_fn_184 <eval_with_key>.1151 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2012706Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2012798Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2012984Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T01:32:30.2013119Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:30.2013124Z 
2022-11-23T01:32:30.2013449Z [2022-11-23 01:26:07,176] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2013550Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2013640Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2013736Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2013836Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2013929Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2014025Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2014108Z              12 RETURN_VALUE
2022-11-23T01:32:30.2014113Z 
2022-11-23T01:32:30.2014179Z  
2022-11-23T01:32:30.2014506Z [2022-11-23 01:26:07,176] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2014615Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_184)
2022-11-23T01:32:30.2014712Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2014809Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2014892Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2014985Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2015079Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2015161Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2015248Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2015364Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2015499Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.2015601Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.2015702Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.2015804Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.2015917Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2016011Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2016086Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.2016187Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2016292Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2016386Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2016466Z              38 BINARY_SUBSCR
2022-11-23T01:32:30.2016575Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.2016697Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2016795Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2016888Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2016989Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.2017098Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.2017178Z              52 RETURN_VALUE
2022-11-23T01:32:30.2017183Z 
2022-11-23T01:32:30.2017249Z  
2022-11-23T01:32:30.2017437Z [2022-11-23 01:26:07,177] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2017506Z  - 
2022-11-23T01:32:30.2017630Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2017702Z             {
2022-11-23T01:32:30.2017849Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2018041Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2018167Z                 'obj_weakref': None
2022-11-23T01:32:30.2018392Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2018455Z             }
2022-11-23T01:32:30.2018523Z             
2022-11-23T01:32:30.2018599Z  - 
2022-11-23T01:32:30.2018730Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2018939Z             {
2022-11-23T01:32:30.2019089Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2019200Z                 'code': None,
2022-11-23T01:32:30.2019403Z                 'obj_weakref': <weakref at 0x7f20230b4680; to 'Tensor' at 0x7f2151eedd00>
2022-11-23T01:32:30.2019651Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2019720Z             }
2022-11-23T01:32:30.2019787Z             
2022-11-23T01:32:30.2019861Z  - 
2022-11-23T01:32:30.2019990Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2020059Z             {
2022-11-23T01:32:30.2020200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2020315Z                 'code': None,
2022-11-23T01:32:30.2020526Z                 'obj_weakref': <weakref at 0x7f2022f5cfe0; to 'Tensor' at 0x7f2060205490>
2022-11-23T01:32:30.2020771Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2020846Z             }
2022-11-23T01:32:30.2020914Z             
2022-11-23T01:32:30.2020988Z  - 
2022-11-23T01:32:30.2021116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2021185Z             {
2022-11-23T01:32:30.2021323Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2021498Z                 'code': ['___check_obj_id(model, 139775922371552)'],
2022-11-23T01:32:30.2021625Z                 'obj_weakref': None
2022-11-23T01:32:30.2021857Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2021926Z             }
2022-11-23T01:32:30.2021986Z             
2022-11-23T01:32:30.2022061Z  - 
2022-11-23T01:32:30.2022191Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2022259Z             {
2022-11-23T01:32:30.2022400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2022628Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2022752Z                 'obj_weakref': None
2022-11-23T01:32:30.2022970Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2023039Z             }
2022-11-23T01:32:30.2023106Z             
2022-11-23T01:32:30.2023181Z  - 
2022-11-23T01:32:30.2023363Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.2023431Z             {
2022-11-23T01:32:30.2023604Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.2024369Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T01:32:30.2024522Z                 'obj_weakref': None
2022-11-23T01:32:30.2024741Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.2024808Z             }
2022-11-23T01:32:30.2024878Z             
2022-11-23T01:32:30.2024953Z  - 
2022-11-23T01:32:30.2025143Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.2025213Z             {
2022-11-23T01:32:30.2025353Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2025636Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T01:32:30.2025759Z                 'obj_weakref': None
2022-11-23T01:32:30.2025980Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2026052Z             }
2022-11-23T01:32:30.2026119Z             
2022-11-23T01:32:30.2026194Z  - 
2022-11-23T01:32:30.2026379Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2026440Z             {
2022-11-23T01:32:30.2026586Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2026858Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T01:32:30.2026981Z                 'obj_weakref': None
2022-11-23T01:32:30.2027197Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2027265Z             }
2022-11-23T01:32:30.2027333Z             
2022-11-23T01:32:30.2027403Z  - 
2022-11-23T01:32:30.2027585Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.2027653Z             {
2022-11-23T01:32:30.2027804Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2028073Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T01:32:30.2028195Z                 'obj_weakref': None
2022-11-23T01:32:30.2028409Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2028478Z             }
2022-11-23T01:32:30.2028539Z             
2022-11-23T01:32:30.2028614Z  - 
2022-11-23T01:32:30.2028797Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.2028863Z             {
2022-11-23T01:32:30.2029009Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2029280Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T01:32:30.2029403Z                 'obj_weakref': None
2022-11-23T01:32:30.2029612Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2029680Z             }
2022-11-23T01:32:30.2029749Z             
2022-11-23T01:32:30.2029824Z  - 
2022-11-23T01:32:30.2029960Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2030028Z             {
2022-11-23T01:32:30.2030156Z                 'guard_types': None,
2022-11-23T01:32:30.2030362Z                 'code': None,
2022-11-23T01:32:30.2030502Z                 'obj_weakref': None
2022-11-23T01:32:30.2030629Z                 'guarded_class': None
2022-11-23T01:32:30.2030696Z             }
2022-11-23T01:32:30.2030763Z             
2022-11-23T01:32:30.2031026Z [2022-11-23 01:26:07,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177
2022-11-23T01:32:30.2031422Z [2022-11-23 01:26:08,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2j22icdw7asyhxubfx5rhpanrb46m3bsuvjz2s6xbyph44lkaxv.py
2022-11-23T01:32:30.2031708Z [2022-11-23 01:26:08,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177
2022-11-23T01:32:30.2031951Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2032295Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2032543Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2032803Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2033083Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2033408Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2033753Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2034076Z [2022-11-23 01:26:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2034448Z [2022-11-23 01:26:08,729] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:30.2034543Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2034673Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:30.2034785Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:30.2034882Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2034987Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:30.2035085Z               10 CALL_METHOD              3
2022-11-23T01:32:30.2035166Z               12 RETURN_VALUE
2022-11-23T01:32:30.2035225Z  
2022-11-23T01:32:30.2035236Z 
2022-11-23T01:32:30.2035544Z [2022-11-23 01:26:08,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:30.2035764Z [2022-11-23 01:26:08,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2036105Z [2022-11-23 01:26:08,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2036408Z [2022-11-23 01:26:08,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:30.2036721Z [2022-11-23 01:26:08,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:30.2037077Z [2022-11-23 01:26:08,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2037445Z [2022-11-23 01:26:08,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2037696Z [2022-11-23 01:26:08,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2038066Z [2022-11-23 01:26:08,736] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:30.2038349Z [2022-11-23 01:26:08,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2038585Z [2022-11-23 01:26:08,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2038855Z [2022-11-23 01:26:08,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2039104Z [2022-11-23 01:26:08,739] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2039294Z [2022-11-23 01:26:08,740] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2039435Z  __compiled_fn_185 <eval_with_key>.1157 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2039530Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2039621Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2039801Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T01:32:30.2039937Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:30.2039942Z 
2022-11-23T01:32:30.2040255Z [2022-11-23 01:26:08,740] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2040359Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2040455Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2040547Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2040647Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2040739Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2040836Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2040910Z              12 RETURN_VALUE
2022-11-23T01:32:30.2040923Z 
2022-11-23T01:32:30.2040981Z  
2022-11-23T01:32:30.2041309Z [2022-11-23 01:26:08,740] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2041430Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_185)
2022-11-23T01:32:30.2041550Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2041657Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2041754Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2041849Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2041936Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2042016Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2042110Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2042220Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2042358Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.2042460Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.2042553Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.2042650Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.2042761Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2042856Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2042939Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.2043037Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2043142Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2043240Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2043322Z              38 BINARY_SUBSCR
2022-11-23T01:32:30.2043424Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.2043520Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2043626Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2043721Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2043802Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.2043987Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.2044068Z              52 RETURN_VALUE
2022-11-23T01:32:30.2044074Z 
2022-11-23T01:32:30.2044132Z  
2022-11-23T01:32:30.2044321Z [2022-11-23 01:26:08,742] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2044421Z  - 
2022-11-23T01:32:30.2044546Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2044613Z             {
2022-11-23T01:32:30.2044757Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2044947Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2045062Z                 'obj_weakref': None
2022-11-23T01:32:30.2045285Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2045358Z             }
2022-11-23T01:32:30.2045428Z             
2022-11-23T01:32:30.2045504Z  - 
2022-11-23T01:32:30.2045632Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2045701Z             {
2022-11-23T01:32:30.2045843Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2045954Z                 'code': None,
2022-11-23T01:32:30.2046161Z                 'obj_weakref': <weakref at 0x7f2023103880; to 'Tensor' at 0x7f2022f33830>
2022-11-23T01:32:30.2046415Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2046485Z             }
2022-11-23T01:32:30.2046553Z             
2022-11-23T01:32:30.2046626Z  - 
2022-11-23T01:32:30.2046746Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2046813Z             {
2022-11-23T01:32:30.2046959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2047069Z                 'code': None,
2022-11-23T01:32:30.2047269Z                 'obj_weakref': <weakref at 0x7f2023103330; to 'Tensor' at 0x7f2060205490>
2022-11-23T01:32:30.2047510Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2047582Z             }
2022-11-23T01:32:30.2047646Z             
2022-11-23T01:32:30.2047721Z  - 
2022-11-23T01:32:30.2047855Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2047924Z             {
2022-11-23T01:32:30.2048065Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2048240Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2048363Z                 'obj_weakref': None
2022-11-23T01:32:30.2048588Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2048657Z             }
2022-11-23T01:32:30.2048725Z             
2022-11-23T01:32:30.2048799Z  - 
2022-11-23T01:32:30.2048924Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2048989Z             {
2022-11-23T01:32:30.2049128Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2049342Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2049470Z                 'obj_weakref': None
2022-11-23T01:32:30.2049699Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2049768Z             }
2022-11-23T01:32:30.2049839Z             
2022-11-23T01:32:30.2049916Z  - 
2022-11-23T01:32:30.2050100Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.2050161Z             {
2022-11-23T01:32:30.2050333Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.2051083Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T01:32:30.2051214Z                 'obj_weakref': None
2022-11-23T01:32:30.2051440Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.2051535Z             }
2022-11-23T01:32:30.2051602Z             
2022-11-23T01:32:30.2051680Z  - 
2022-11-23T01:32:30.2051869Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.2051931Z             {
2022-11-23T01:32:30.2052102Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2052401Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:30.2052525Z                 'obj_weakref': None
2022-11-23T01:32:30.2052744Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2052815Z             }
2022-11-23T01:32:30.2052883Z             
2022-11-23T01:32:30.2052952Z  - 
2022-11-23T01:32:30.2053135Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2053205Z             {
2022-11-23T01:32:30.2053349Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2053619Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:30.2053740Z                 'obj_weakref': None
2022-11-23T01:32:30.2053952Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2054013Z             }
2022-11-23T01:32:30.2054081Z             
2022-11-23T01:32:30.2054156Z  - 
2022-11-23T01:32:30.2054339Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.2054407Z             {
2022-11-23T01:32:30.2054551Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2054819Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:30.2054940Z                 'obj_weakref': None
2022-11-23T01:32:30.2055144Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2055217Z             }
2022-11-23T01:32:30.2055285Z             
2022-11-23T01:32:30.2055360Z  - 
2022-11-23T01:32:30.2055547Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.2055613Z             {
2022-11-23T01:32:30.2055749Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2056018Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:30.2056139Z                 'obj_weakref': None
2022-11-23T01:32:30.2056350Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2056419Z             }
2022-11-23T01:32:30.2056487Z             
2022-11-23T01:32:30.2056562Z  - 
2022-11-23T01:32:30.2056697Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2056759Z             {
2022-11-23T01:32:30.2056885Z                 'guard_types': None,
2022-11-23T01:32:30.2056997Z                 'code': None,
2022-11-23T01:32:30.2057117Z                 'obj_weakref': None
2022-11-23T01:32:30.2057244Z                 'guarded_class': None
2022-11-23T01:32:30.2057311Z             }
2022-11-23T01:32:30.2057372Z             
2022-11-23T01:32:30.2057631Z [2022-11-23 01:26:08,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178
2022-11-23T01:32:30.2057994Z [2022-11-23 01:26:10,357] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxy3n5y7aurlkezhp6a22xpvzw6bmf4hstlhl3ajf5czwicdrbd.py
2022-11-23T01:32:30.2058260Z [2022-11-23 01:26:10,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178
2022-11-23T01:32:30.2058540Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2058973Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2059239Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2059491Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2059769Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2060087Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2060427Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2060752Z [2022-11-23 01:26:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2061125Z [2022-11-23 01:26:10,362] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:30.2061228Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2061356Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:30.2061463Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:30.2061561Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2061664Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:30.2061760Z               10 CALL_METHOD              3
2022-11-23T01:32:30.2061835Z               12 RETURN_VALUE
2022-11-23T01:32:30.2061903Z  
2022-11-23T01:32:30.2061908Z 
2022-11-23T01:32:30.2062228Z [2022-11-23 01:26:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:30.2062454Z [2022-11-23 01:26:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2062795Z [2022-11-23 01:26:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2063093Z [2022-11-23 01:26:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:30.2063400Z [2022-11-23 01:26:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:30.2063747Z [2022-11-23 01:26:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2064107Z [2022-11-23 01:26:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2064355Z [2022-11-23 01:26:10,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2064715Z [2022-11-23 01:26:10,369] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:30.2064964Z [2022-11-23 01:26:10,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2065201Z [2022-11-23 01:26:10,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2065490Z [2022-11-23 01:26:10,370] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2065738Z [2022-11-23 01:26:10,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2065953Z [2022-11-23 01:26:10,373] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2066095Z  __compiled_fn_186 <eval_with_key>.1163 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2066189Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2066275Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2066454Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T01:32:30.2066586Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:30.2066592Z 
2022-11-23T01:32:30.2066912Z [2022-11-23 01:26:10,373] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2067015Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2067112Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2067207Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2067314Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2067406Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2067494Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2067575Z              12 RETURN_VALUE
2022-11-23T01:32:30.2067581Z 
2022-11-23T01:32:30.2067649Z  
2022-11-23T01:32:30.2067980Z [2022-11-23 01:26:10,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2068093Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_186)
2022-11-23T01:32:30.2068189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2068288Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2068363Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2068460Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2068555Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2068635Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2068733Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2068844Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2068980Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.2069076Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.2069170Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.2069273Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.2069382Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2069482Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2069564Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.2069661Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2069770Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2069858Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2069938Z              38 BINARY_SUBSCR
2022-11-23T01:32:30.2070052Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.2070153Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2070319Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.2070428Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2070525Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.2070624Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.2070703Z              52 RETURN_VALUE
2022-11-23T01:32:30.2070709Z 
2022-11-23T01:32:30.2070774Z  
2022-11-23T01:32:30.2070965Z [2022-11-23 01:26:10,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2071041Z  - 
2022-11-23T01:32:30.2071165Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2071266Z             {
2022-11-23T01:32:30.2071405Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2071624Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2071796Z                 'obj_weakref': None
2022-11-23T01:32:30.2072020Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2072093Z             }
2022-11-23T01:32:30.2072161Z             
2022-11-23T01:32:30.2072237Z  - 
2022-11-23T01:32:30.2072358Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2072428Z             {
2022-11-23T01:32:30.2072573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2072684Z                 'code': None,
2022-11-23T01:32:30.2072895Z                 'obj_weakref': <weakref at 0x7f2022eaf650; to 'Tensor' at 0x7f2022f30900>
2022-11-23T01:32:30.2073148Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2073217Z             }
2022-11-23T01:32:30.2073278Z             
2022-11-23T01:32:30.2073352Z  - 
2022-11-23T01:32:30.2073478Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2073553Z             {
2022-11-23T01:32:30.2073698Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2073807Z                 'code': None,
2022-11-23T01:32:30.2074016Z                 'obj_weakref': <weakref at 0x7f20726e5260; to 'Tensor' at 0x7f2060205490>
2022-11-23T01:32:30.2074248Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2074317Z             }
2022-11-23T01:32:30.2074385Z             
2022-11-23T01:32:30.2074461Z  - 
2022-11-23T01:32:30.2074597Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2074665Z             {
2022-11-23T01:32:30.2074805Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2074976Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2075101Z                 'obj_weakref': None
2022-11-23T01:32:30.2075331Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2075406Z             }
2022-11-23T01:32:30.2075477Z             
2022-11-23T01:32:30.2075553Z  - 
2022-11-23T01:32:30.2075678Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2075739Z             {
2022-11-23T01:32:30.2075882Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2076107Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2076231Z                 'obj_weakref': None
2022-11-23T01:32:30.2076456Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2076526Z             }
2022-11-23T01:32:30.2076594Z             
2022-11-23T01:32:30.2076662Z  - 
2022-11-23T01:32:30.2076848Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.2076918Z             {
2022-11-23T01:32:30.2077094Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.2077806Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T01:32:30.2077932Z                 'obj_weakref': None
2022-11-23T01:32:30.2078156Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.2078226Z             }
2022-11-23T01:32:30.2078292Z             
2022-11-23T01:32:30.2078359Z  - 
2022-11-23T01:32:30.2078579Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.2078648Z             {
2022-11-23T01:32:30.2078798Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2079097Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:30.2079221Z                 'obj_weakref': None
2022-11-23T01:32:30.2079443Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2079504Z             }
2022-11-23T01:32:30.2079572Z             
2022-11-23T01:32:30.2079647Z  - 
2022-11-23T01:32:30.2079833Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2079901Z             {
2022-11-23T01:32:30.2080049Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2080326Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:30.2080442Z                 'obj_weakref': None
2022-11-23T01:32:30.2080660Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2080731Z             }
2022-11-23T01:32:30.2080797Z             
2022-11-23T01:32:30.2080871Z  - 
2022-11-23T01:32:30.2081056Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.2081125Z             {
2022-11-23T01:32:30.2081264Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2081537Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T01:32:30.2081662Z                 'obj_weakref': None
2022-11-23T01:32:30.2081883Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2081968Z             }
2022-11-23T01:32:30.2082044Z             
2022-11-23T01:32:30.2082138Z  - 
2022-11-23T01:32:30.2082329Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.2082390Z             {
2022-11-23T01:32:30.2082540Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2082812Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T01:32:30.2082935Z                 'obj_weakref': None
2022-11-23T01:32:30.2083150Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2083218Z             }
2022-11-23T01:32:30.2083286Z             
2022-11-23T01:32:30.2083354Z  - 
2022-11-23T01:32:30.2083492Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2083563Z             {
2022-11-23T01:32:30.2083689Z                 'guard_types': None,
2022-11-23T01:32:30.2083803Z                 'code': None,
2022-11-23T01:32:30.2083933Z                 'obj_weakref': None
2022-11-23T01:32:30.2084062Z                 'guarded_class': None
2022-11-23T01:32:30.2084123Z             }
2022-11-23T01:32:30.2084192Z             
2022-11-23T01:32:30.2084460Z [2022-11-23 01:26:10,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179
2022-11-23T01:32:30.2084466Z 
2022-11-23T01:32:30.2084564Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2084637Z import torch
2022-11-23T01:32:30.2084711Z import random
2022-11-23T01:32:30.2084834Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2084953Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2084959Z 
2022-11-23T01:32:30.2085041Z aten = torch.ops.aten
2022-11-23T01:32:30.2085183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2085281Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2085287Z 
2022-11-23T01:32:30.2085360Z import triton
2022-11-23T01:32:30.2085487Z import triton.language as tl
2022-11-23T01:32:30.2085616Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2085751Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2085787Z 
2022-11-23T01:32:30.2085792Z 
2022-11-23T01:32:30.2085924Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2086133Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2086259Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2086366Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2086434Z {
2022-11-23T01:32:30.2086537Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2086604Z     {
2022-11-23T01:32:30.2086680Z         #pragma omp for 
2022-11-23T01:32:30.2086767Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2086835Z         {
2022-11-23T01:32:30.2086921Z             #pragma GCC ivdep
2022-11-23T01:32:30.2087012Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.2087080Z             {
2022-11-23T01:32:30.2087151Z                 {
2022-11-23T01:32:30.2087215Z                     {
2022-11-23T01:32:30.2087327Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:32:30.2087442Z                         auto tmp1 = static_cast<int>(i1);
2022-11-23T01:32:30.2087557Z                         auto tmp2 = in_ptr0[tmp1 + (8*tmp0)];
2022-11-23T01:32:30.2087659Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:30.2087731Z                     }
2022-11-23T01:32:30.2087801Z                 }
2022-11-23T01:32:30.2087863Z             }
2022-11-23T01:32:30.2087930Z         }
2022-11-23T01:32:30.2087996Z     }
2022-11-23T01:32:30.2088060Z }
2022-11-23T01:32:30.2088145Z ''')
2022-11-23T01:32:30.2088150Z 
2022-11-23T01:32:30.2088155Z 
2022-11-23T01:32:30.2088249Z async_compile.wait(globals())
2022-11-23T01:32:30.2088326Z del async_compile
2022-11-23T01:32:30.2088331Z 
2022-11-23T01:32:30.2088398Z def call(args):
2022-11-23T01:32:30.2088482Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2088558Z     args.clear()
2022-11-23T01:32:30.2088771Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2088911Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2088984Z     del arg0_1
2022-11-23T01:32:30.2089060Z     return (buf0, )
2022-11-23T01:32:30.2089065Z 
2022-11-23T01:32:30.2089069Z 
2022-11-23T01:32:30.2089151Z if __name__ == "__main__":
2022-11-23T01:32:30.2089262Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2089393Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2089607Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2089817Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2089936Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2089944Z 
2022-11-23T01:32:30.2089948Z 
2022-11-23T01:32:30.2090047Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2090125Z import torch
2022-11-23T01:32:30.2090192Z import random
2022-11-23T01:32:30.2090315Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2090441Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2090446Z 
2022-11-23T01:32:30.2090531Z aten = torch.ops.aten
2022-11-23T01:32:30.2090669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2090766Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2090771Z 
2022-11-23T01:32:30.2090845Z import triton
2022-11-23T01:32:30.2090935Z import triton.language as tl
2022-11-23T01:32:30.2091055Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2091197Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2091202Z 
2022-11-23T01:32:30.2091207Z 
2022-11-23T01:32:30.2091343Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2091583Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2091715Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2091844Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2091909Z {
2022-11-23T01:32:30.2092009Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2092068Z     {
2022-11-23T01:32:30.2092149Z         #pragma omp for 
2022-11-23T01:32:30.2092238Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2092305Z         {
2022-11-23T01:32:30.2092390Z             #pragma GCC ivdep
2022-11-23T01:32:30.2092477Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.2092546Z             {
2022-11-23T01:32:30.2092609Z                 {
2022-11-23T01:32:30.2092679Z                     {
2022-11-23T01:32:30.2092795Z                         auto tmp0 = static_cast<int>(1 + i0);
2022-11-23T01:32:30.2092914Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2093029Z                         auto tmp2 = in_ptr0[tmp1 + (10*tmp0)];
2022-11-23T01:32:30.2093138Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:32:30.2093240Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:32:30.2093330Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:32:30.2093428Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:32:30.2093518Z                         float tmp7 = 0.0;
2022-11-23T01:32:30.2093600Z                         if(tmp6)
2022-11-23T01:32:30.2093673Z                         {
2022-11-23T01:32:30.2093794Z                             auto tmp8 = static_cast<int>(1 + i0);
2022-11-23T01:32:30.2093978Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2094087Z                             auto tmp10 = in_ptr0[tmp9 + (10*tmp8)];
2022-11-23T01:32:30.2094172Z                             tmp7 = tmp10;
2022-11-23T01:32:30.2094248Z                         }
2022-11-23T01:32:30.2094350Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:32:30.2094446Z                         auto tmp12 = tmp3 >= 6;
2022-11-23T01:32:30.2094545Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:32:30.2094649Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:32:30.2094734Z                         float tmp15 = 0.0;
2022-11-23T01:32:30.2094814Z                         if(tmp14)
2022-11-23T01:32:30.2094888Z                         {
2022-11-23T01:32:30.2095002Z                             auto tmp16 = static_cast<int>(1 + i0);
2022-11-23T01:32:30.2095180Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2095299Z                             auto tmp18 = in_ptr0[tmp17 + (10*tmp16)];
2022-11-23T01:32:30.2095388Z                             tmp15 = tmp18;
2022-11-23T01:32:30.2095454Z                         }
2022-11-23T01:32:30.2095554Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:32:30.2095667Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:32:30.2095766Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:32:30.2095863Z                         auto tmp22 = tmp20 <= 1;
2022-11-23T01:32:30.2095965Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:32:30.2096056Z                         float tmp24 = 0.0;
2022-11-23T01:32:30.2096138Z                         if(tmp23)
2022-11-23T01:32:30.2096204Z                         {
2022-11-23T01:32:30.2096382Z                             auto tmp25 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:30.2096498Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2096615Z                             auto tmp27 = in_ptr0[tmp26 + (10*tmp25)];
2022-11-23T01:32:30.2096703Z                             tmp24 = tmp27;
2022-11-23T01:32:30.2096777Z                         }
2022-11-23T01:32:30.2096877Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:32:30.2096999Z                         auto tmp29 = tmp20 >= 6;
2022-11-23T01:32:30.2097100Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:32:30.2097198Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:30.2097312Z                         float tmp32 = 0.0;
2022-11-23T01:32:30.2097394Z                         if(tmp31)
2022-11-23T01:32:30.2097466Z                         {
2022-11-23T01:32:30.2097646Z                             auto tmp33 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:30.2097755Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2097872Z                             auto tmp35 = in_ptr0[tmp34 + (10*tmp33)];
2022-11-23T01:32:30.2097961Z                             tmp32 = tmp35;
2022-11-23T01:32:30.2098034Z                         }
2022-11-23T01:32:30.2098136Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:32:30.2098239Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:32:30.2098334Z                         float tmp38 = 0.0;
2022-11-23T01:32:30.2098408Z                         if(tmp37)
2022-11-23T01:32:30.2098480Z                         {
2022-11-23T01:32:30.2098656Z                             auto tmp39 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:30.2099021Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2099140Z                             auto tmp41 = in_ptr0[tmp40 + (10*tmp39)];
2022-11-23T01:32:30.2099228Z                             tmp38 = tmp41;
2022-11-23T01:32:30.2099302Z                         }
2022-11-23T01:32:30.2099402Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:32:30.2099493Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:32:30.2099582Z                         float tmp44 = 0.0;
2022-11-23T01:32:30.2099662Z                         if(tmp43)
2022-11-23T01:32:30.2099736Z                         {
2022-11-23T01:32:30.2099919Z                             auto tmp45 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:30.2100095Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2100212Z                             auto tmp47 = in_ptr0[tmp46 + (10*tmp45)];
2022-11-23T01:32:30.2100298Z                             tmp44 = tmp47;
2022-11-23T01:32:30.2100372Z                         }
2022-11-23T01:32:30.2100474Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:32:30.2100571Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:32:30.2100662Z                         float tmp50 = 0.0;
2022-11-23T01:32:30.2100744Z                         if(tmp49)
2022-11-23T01:32:30.2100819Z                         {
2022-11-23T01:32:30.2100989Z                             auto tmp51 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:30.2101163Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2101278Z                             auto tmp53 = in_ptr0[tmp52 + (10*tmp51)];
2022-11-23T01:32:30.2101369Z                             tmp50 = tmp53;
2022-11-23T01:32:30.2101443Z                         }
2022-11-23T01:32:30.2101543Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:32:30.2101646Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:32:30.2101729Z                         float tmp56 = 0.0;
2022-11-23T01:32:30.2101810Z                         if(tmp55)
2022-11-23T01:32:30.2101886Z                         {
2022-11-23T01:32:30.2102093Z                             auto tmp57 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:30.2102287Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2102403Z                             auto tmp59 = in_ptr0[tmp58 + (10*tmp57)];
2022-11-23T01:32:30.2102495Z                             tmp56 = tmp59;
2022-11-23T01:32:30.2102568Z                         }
2022-11-23T01:32:30.2102660Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:32:30.2102821Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:32:30.2102896Z                     }
2022-11-23T01:32:30.2102967Z                 }
2022-11-23T01:32:30.2103038Z             }
2022-11-23T01:32:30.2103137Z         }
2022-11-23T01:32:30.2103196Z     }
2022-11-23T01:32:30.2103260Z }
2022-11-23T01:32:30.2103346Z ''')
2022-11-23T01:32:30.2103352Z 
2022-11-23T01:32:30.2103356Z 
2022-11-23T01:32:30.2103450Z async_compile.wait(globals())
2022-11-23T01:32:30.2103528Z del async_compile
2022-11-23T01:32:30.2103533Z 
2022-11-23T01:32:30.2103608Z def call(args):
2022-11-23T01:32:30.2103688Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2103764Z     args.clear()
2022-11-23T01:32:30.2103969Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2104110Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2104183Z     del arg0_1
2022-11-23T01:32:30.2104259Z     return (buf0, )
2022-11-23T01:32:30.2104264Z 
2022-11-23T01:32:30.2104271Z 
2022-11-23T01:32:30.2104352Z if __name__ == "__main__":
2022-11-23T01:32:30.2104471Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2104599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2104814Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2105025Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2105145Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2105150Z 
2022-11-23T01:32:30.2105512Z [2022-11-23 01:26:11,996] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z7/cz7sr3txk4z3yewbd6v5pvrj7wd7m3mqh7cplukllq7dqjenuau2.py
2022-11-23T01:32:30.2105777Z [2022-11-23 01:26:11,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179
2022-11-23T01:32:30.2105783Z 
2022-11-23T01:32:30.2105885Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2105960Z import torch
2022-11-23T01:32:30.2106038Z import random
2022-11-23T01:32:30.2106157Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2106274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2106283Z 
2022-11-23T01:32:30.2106370Z aten = torch.ops.aten
2022-11-23T01:32:30.2106511Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2106609Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2106614Z 
2022-11-23T01:32:30.2106688Z import triton
2022-11-23T01:32:30.2106784Z import triton.language as tl
2022-11-23T01:32:30.2106909Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2107049Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2107055Z 
2022-11-23T01:32:30.2107059Z 
2022-11-23T01:32:30.2107189Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2114077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2114217Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2114324Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2114392Z {
2022-11-23T01:32:30.2114499Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2114570Z     {
2022-11-23T01:32:30.2114729Z         #pragma omp for 
2022-11-23T01:32:30.2114819Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2114888Z         {
2022-11-23T01:32:30.2114974Z             #pragma GCC ivdep
2022-11-23T01:32:30.2115063Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.2115133Z             {
2022-11-23T01:32:30.2115202Z                 {
2022-11-23T01:32:30.2115268Z                     {
2022-11-23T01:32:30.2115387Z                         auto tmp0 = static_cast<int>(3 + i0);
2022-11-23T01:32:30.2115501Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2115613Z                         auto tmp2 = in_ptr0[tmp1 + (11*tmp0)];
2022-11-23T01:32:30.2115783Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:32:30.2115884Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:32:30.2115980Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:32:30.2116099Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:32:30.2116191Z                         float tmp7 = 0.0;
2022-11-23T01:32:30.2116272Z                         if(tmp6)
2022-11-23T01:32:30.2116349Z                         {
2022-11-23T01:32:30.2116465Z                             auto tmp8 = static_cast<int>(3 + i0);
2022-11-23T01:32:30.2116661Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2116779Z                             auto tmp10 = in_ptr0[tmp9 + (11*tmp8)];
2022-11-23T01:32:30.2116862Z                             tmp7 = tmp10;
2022-11-23T01:32:30.2116937Z                         }
2022-11-23T01:32:30.2117039Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:32:30.2117142Z                         auto tmp12 = tmp3 >= 5;
2022-11-23T01:32:30.2117244Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:32:30.2117347Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:32:30.2117440Z                         float tmp15 = 0.0;
2022-11-23T01:32:30.2117515Z                         if(tmp14)
2022-11-23T01:32:30.2117592Z                         {
2022-11-23T01:32:30.2117708Z                             auto tmp16 = static_cast<int>(3 + i0);
2022-11-23T01:32:30.2117888Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2118006Z                             auto tmp18 = in_ptr0[tmp17 + (11*tmp16)];
2022-11-23T01:32:30.2118097Z                             tmp15 = tmp18;
2022-11-23T01:32:30.2118170Z                         }
2022-11-23T01:32:30.2118270Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:32:30.2118375Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:32:30.2118475Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:32:30.2118573Z                         auto tmp22 = tmp20 <= 3;
2022-11-23T01:32:30.2118671Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:32:30.2118765Z                         float tmp24 = 0.0;
2022-11-23T01:32:30.2118848Z                         if(tmp23)
2022-11-23T01:32:30.2118921Z                         {
2022-11-23T01:32:30.2119089Z                             auto tmp25 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:30.2119206Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2119321Z                             auto tmp27 = in_ptr0[tmp26 + (11*tmp25)];
2022-11-23T01:32:30.2119408Z                             tmp24 = tmp27;
2022-11-23T01:32:30.2119482Z                         }
2022-11-23T01:32:30.2119583Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:32:30.2119680Z                         auto tmp29 = tmp20 >= 3;
2022-11-23T01:32:30.2119773Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:32:30.2119873Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:30.2119963Z                         float tmp32 = 0.0;
2022-11-23T01:32:30.2120046Z                         if(tmp31)
2022-11-23T01:32:30.2120119Z                         {
2022-11-23T01:32:30.2120296Z                             auto tmp33 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:30.2120410Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:32:30.2120530Z                             auto tmp35 = in_ptr0[tmp34 + (11*tmp33)];
2022-11-23T01:32:30.2120612Z                             tmp32 = tmp35;
2022-11-23T01:32:30.2120684Z                         }
2022-11-23T01:32:30.2120783Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:32:30.2120883Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:32:30.2120975Z                         float tmp38 = 0.0;
2022-11-23T01:32:30.2121088Z                         if(tmp37)
2022-11-23T01:32:30.2121161Z                         {
2022-11-23T01:32:30.2121332Z                             auto tmp39 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:30.2121507Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2121650Z                             auto tmp41 = in_ptr0[tmp40 + (11*tmp39)];
2022-11-23T01:32:30.2121739Z                             tmp38 = tmp41;
2022-11-23T01:32:30.2121812Z                         }
2022-11-23T01:32:30.2121919Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:32:30.2122038Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:32:30.2122132Z                         float tmp44 = 0.0;
2022-11-23T01:32:30.2122227Z                         if(tmp43)
2022-11-23T01:32:30.2122301Z                         {
2022-11-23T01:32:30.2122476Z                             auto tmp45 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:30.2122655Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2122770Z                             auto tmp47 = in_ptr0[tmp46 + (11*tmp45)];
2022-11-23T01:32:30.2122859Z                             tmp44 = tmp47;
2022-11-23T01:32:30.2122930Z                         }
2022-11-23T01:32:30.2123029Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:32:30.2123128Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:32:30.2123219Z                         float tmp50 = 0.0;
2022-11-23T01:32:30.2123303Z                         if(tmp49)
2022-11-23T01:32:30.2123376Z                         {
2022-11-23T01:32:30.2123553Z                             auto tmp51 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:30.2123729Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:30.2123839Z                             auto tmp53 = in_ptr0[tmp52 + (11*tmp51)];
2022-11-23T01:32:30.2123927Z                             tmp50 = tmp53;
2022-11-23T01:32:30.2124004Z                         }
2022-11-23T01:32:30.2124104Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:32:30.2124205Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:32:30.2124299Z                         float tmp56 = 0.0;
2022-11-23T01:32:30.2124382Z                         if(tmp55)
2022-11-23T01:32:30.2124448Z                         {
2022-11-23T01:32:30.2124625Z                             auto tmp57 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:30.2124801Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:30.2124915Z                             auto tmp59 = in_ptr0[tmp58 + (11*tmp57)];
2022-11-23T01:32:30.2125003Z                             tmp56 = tmp59;
2022-11-23T01:32:30.2125076Z                         }
2022-11-23T01:32:30.2125175Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:32:30.2125269Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:32:30.2125345Z                     }
2022-11-23T01:32:30.2125418Z                 }
2022-11-23T01:32:30.2125489Z             }
2022-11-23T01:32:30.2125556Z         }
2022-11-23T01:32:30.2125621Z     }
2022-11-23T01:32:30.2125685Z }
2022-11-23T01:32:30.2125766Z ''')
2022-11-23T01:32:30.2125772Z 
2022-11-23T01:32:30.2125777Z 
2022-11-23T01:32:30.2125872Z async_compile.wait(globals())
2022-11-23T01:32:30.2125952Z del async_compile
2022-11-23T01:32:30.2125958Z 
2022-11-23T01:32:30.2126034Z def call(args):
2022-11-23T01:32:30.2126115Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2126192Z     args.clear()
2022-11-23T01:32:30.2126403Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2126537Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2126612Z     del arg0_1
2022-11-23T01:32:30.2126690Z     return (buf0, )
2022-11-23T01:32:30.2126696Z 
2022-11-23T01:32:30.2126700Z 
2022-11-23T01:32:30.2126782Z if __name__ == "__main__":
2022-11-23T01:32:30.2126935Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2127066Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2127286Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2127519Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2127634Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2127647Z 
2022-11-23T01:32:30.2127712Z ok (4.837s)
2022-11-23T01:32:30.2128030Z   test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2128346Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2128566Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2128824Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2129105Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2129425Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2129764Z [2022-11-23 01:26:12,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2130081Z [2022-11-23 01:26:12,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2130443Z [2022-11-23 01:26:12,001] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027> 
2022-11-23T01:32:30.2130548Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2130665Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:30.2130767Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2130864Z                6 BUILD_LIST               0
2022-11-23T01:32:30.2130971Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:30.2131067Z               10 LIST_EXTEND              1
2022-11-23T01:32:30.2131163Z               12 CALL_METHOD              2
2022-11-23T01:32:30.2131168Z 
2022-11-23T01:32:30.2131261Z 3030          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2131379Z               16 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:30.2131478Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2131586Z               20 BUILD_LIST               0
2022-11-23T01:32:30.2131704Z               22 LOAD_CONST               2 ((1, 2, 3, 4))
2022-11-23T01:32:30.2131821Z               24 LIST_EXTEND              1
2022-11-23T01:32:30.2131915Z               26 CALL_METHOD              2
2022-11-23T01:32:30.2131921Z 
2022-11-23T01:32:30.2132016Z 3028          28 BUILD_TUPLE              2
2022-11-23T01:32:30.2132093Z               30 RETURN_VALUE
2022-11-23T01:32:30.2132159Z  
2022-11-23T01:32:30.2132164Z 
2022-11-23T01:32:30.2132477Z [2022-11-23 01:26:12,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029
2022-11-23T01:32:30.2132697Z [2022-11-23 01:26:12,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2133018Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2133315Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:30.2133618Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:30.2133970Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2134329Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.2134650Z [2022-11-23 01:26:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2134952Z [2022-11-23 01:26:12,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030
2022-11-23T01:32:30.2135197Z [2022-11-23 01:26:12,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.2135542Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2135838Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:30.2136157Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:30.2136509Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2136897Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.2137242Z [2022-11-23 01:26:12,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2137551Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028
2022-11-23T01:32:30.2137817Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2138063Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2138425Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027>
2022-11-23T01:32:30.2138672Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2139112Z [2022-11-23 01:26:12,015] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2139375Z [2022-11-23 01:26:12,016] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2139624Z [2022-11-23 01:26:12,019] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2139816Z [2022-11-23 01:26:12,019] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2139958Z  __compiled_fn_187 <eval_with_key>.1169 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2140055Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2140208Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T01:32:30.2140353Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T01:32:30.2140546Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T01:32:30.2140553Z 
2022-11-23T01:32:30.2140876Z [2022-11-23 01:26:12,019] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2141004Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2141102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2141194Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2141295Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2141386Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2141474Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2141557Z              12 RETURN_VALUE
2022-11-23T01:32:30.2141562Z 
2022-11-23T01:32:30.2141628Z  
2022-11-23T01:32:30.2141953Z [2022-11-23 01:26:12,019] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2142068Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_187)
2022-11-23T01:32:30.2142164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2142263Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2142346Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2142434Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2142546Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2142656Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2142756Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2142838Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2142948Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2143045Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2143120Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2143214Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2143299Z              26 RETURN_VALUE
2022-11-23T01:32:30.2143305Z 
2022-11-23T01:32:30.2143374Z  
2022-11-23T01:32:30.2143560Z [2022-11-23 01:26:12,020] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2143640Z  - 
2022-11-23T01:32:30.2143764Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2143827Z             {
2022-11-23T01:32:30.2143971Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2144161Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2144285Z                 'obj_weakref': None
2022-11-23T01:32:30.2144510Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2144577Z             }
2022-11-23T01:32:30.2144646Z             
2022-11-23T01:32:30.2144715Z  - 
2022-11-23T01:32:30.2144843Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2144913Z             {
2022-11-23T01:32:30.2145060Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2145175Z                 'code': None,
2022-11-23T01:32:30.2145385Z                 'obj_weakref': <weakref at 0x7f20230725c0; to 'Tensor' at 0x7f2060205490>
2022-11-23T01:32:30.2145637Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2145699Z             }
2022-11-23T01:32:30.2145769Z             
2022-11-23T01:32:30.2145843Z  - 
2022-11-23T01:32:30.2145978Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2146048Z             {
2022-11-23T01:32:30.2146187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2146359Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2146475Z                 'obj_weakref': None
2022-11-23T01:32:30.2146701Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2146773Z             }
2022-11-23T01:32:30.2146846Z             
2022-11-23T01:32:30.2146953Z  - 
2022-11-23T01:32:30.2147080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2147151Z             {
2022-11-23T01:32:30.2147285Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2147575Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2147698Z                 'obj_weakref': None
2022-11-23T01:32:30.2147918Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2147988Z             }
2022-11-23T01:32:30.2148057Z             
2022-11-23T01:32:30.2148134Z  - 
2022-11-23T01:32:30.2148263Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2148332Z             {
2022-11-23T01:32:30.2148458Z                 'guard_types': None,
2022-11-23T01:32:30.2148571Z                 'code': None,
2022-11-23T01:32:30.2148693Z                 'obj_weakref': None
2022-11-23T01:32:30.2148818Z                 'guarded_class': None
2022-11-23T01:32:30.2148891Z             }
2022-11-23T01:32:30.2148953Z             
2022-11-23T01:32:30.2149212Z [2022-11-23 01:26:12,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180
2022-11-23T01:32:30.2149577Z [2022-11-23 01:26:13,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6dmxyz5wleqizkbesdv7xn74xs7sfjnseuhwqmxjb6cte5cx4fw.py
2022-11-23T01:32:30.2149842Z [2022-11-23 01:26:13,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180
2022-11-23T01:32:30.2149848Z 
2022-11-23T01:32:30.2149947Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2150027Z import torch
2022-11-23T01:32:30.2150105Z import random
2022-11-23T01:32:30.2150227Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2150422Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2150428Z 
2022-11-23T01:32:30.2150524Z aten = torch.ops.aten
2022-11-23T01:32:30.2150687Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2150793Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2150799Z 
2022-11-23T01:32:30.2150874Z import triton
2022-11-23T01:32:30.2150966Z import triton.language as tl
2022-11-23T01:32:30.2151098Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2151233Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2151245Z 
2022-11-23T01:32:30.2151250Z 
2022-11-23T01:32:30.2151381Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2151591Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2151718Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2151823Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2151931Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2151998Z {
2022-11-23T01:32:30.2152105Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2152168Z     {
2022-11-23T01:32:30.2152265Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2152356Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:30.2152425Z         {
2022-11-23T01:32:30.2152520Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:30.2152595Z             {
2022-11-23T01:32:30.2152669Z                 {
2022-11-23T01:32:30.2152735Z                     {
2022-11-23T01:32:30.2152847Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:32:30.2152958Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:30.2153069Z                         auto tmp2 = static_cast<int>(1);
2022-11-23T01:32:30.2153214Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.2153332Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:32:30.2153476Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:32:30.2153576Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:32:30.2153766Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:30.2153882Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:32:30.2154024Z                         auto tmp9 = tmp8 - tmp2;
2022-11-23T01:32:30.2154155Z                         auto tmp10 = std::abs(tmp9);
2022-11-23T01:32:30.2154300Z                         auto tmp11 = tmp0 - tmp10;
2022-11-23T01:32:30.2154409Z                         auto tmp12 = std::abs(tmp11);
2022-11-23T01:32:30.2154552Z                         auto tmp13 = tmp0 - tmp12;
2022-11-23T01:32:30.2154659Z                         auto tmp14 = in_ptr0[tmp13 + (8*tmp7)];
2022-11-23T01:32:30.2154763Z                         out_ptr0[i1 + (10*i0)] = tmp14;
2022-11-23T01:32:30.2154836Z                     }
2022-11-23T01:32:30.2154908Z                 }
2022-11-23T01:32:30.2154974Z             }
2022-11-23T01:32:30.2155042Z         }
2022-11-23T01:32:30.2155132Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2155219Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:32:30.2155290Z         {
2022-11-23T01:32:30.2155382Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:30.2155454Z             {
2022-11-23T01:32:30.2155528Z                 {
2022-11-23T01:32:30.2155605Z                     {
2022-11-23T01:32:30.2155708Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:32:30.2155818Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:30.2155926Z                         auto tmp2 = static_cast<int>(3);
2022-11-23T01:32:30.2156070Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.2156178Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:32:30.2156321Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:32:30.2156428Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:32:30.2156567Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:30.2156670Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:32:30.2156782Z                         auto tmp9 = static_cast<int>(1);
2022-11-23T01:32:30.2156926Z                         auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:30.2157035Z                         auto tmp11 = std::abs(tmp10);
2022-11-23T01:32:30.2157185Z                         auto tmp12 = tmp0 - tmp11;
2022-11-23T01:32:30.2157292Z                         auto tmp13 = std::abs(tmp12);
2022-11-23T01:32:30.2157436Z                         auto tmp14 = tmp0 - tmp13;
2022-11-23T01:32:30.2157543Z                         auto tmp15 = in_ptr0[tmp14 + (8*tmp7)];
2022-11-23T01:32:30.2157647Z                         out_ptr1[i1 + (11*i0)] = tmp15;
2022-11-23T01:32:30.2157719Z                     }
2022-11-23T01:32:30.2157789Z                 }
2022-11-23T01:32:30.2157859Z             }
2022-11-23T01:32:30.2157927Z         }
2022-11-23T01:32:30.2157993Z     }
2022-11-23T01:32:30.2158051Z }
2022-11-23T01:32:30.2158135Z ''')
2022-11-23T01:32:30.2158140Z 
2022-11-23T01:32:30.2158145Z 
2022-11-23T01:32:30.2158239Z async_compile.wait(globals())
2022-11-23T01:32:30.2158321Z del async_compile
2022-11-23T01:32:30.2158326Z 
2022-11-23T01:32:30.2158402Z def call(args):
2022-11-23T01:32:30.2158477Z     arg0_1, = args
2022-11-23T01:32:30.2158557Z     args.clear()
2022-11-23T01:32:30.2158773Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2158993Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2159164Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2159235Z     del arg0_1
2022-11-23T01:32:30.2159318Z     return (buf0, buf1, )
2022-11-23T01:32:30.2159324Z 
2022-11-23T01:32:30.2159328Z 
2022-11-23T01:32:30.2159411Z if __name__ == "__main__":
2022-11-23T01:32:30.2159530Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2159661Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2159900Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2160017Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2160023Z 
2022-11-23T01:32:30.2160094Z ok (1.584s)
2022-11-23T01:32:30.2160410Z   test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2160725Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2160950Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2161208Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2161490Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2161810Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2162178Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2162514Z [2022-11-23 01:26:13,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2162876Z [2022-11-23 01:26:13,586] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994> 
2022-11-23T01:32:30.2162979Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2163080Z               2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:30.2163177Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2163274Z               6 CALL_METHOD              1
2022-11-23T01:32:30.2163373Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2163470Z              10 LOAD_METHOD              1 (relu)
2022-11-23T01:32:30.2163563Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2163659Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2163737Z              16 BINARY_ADD
2022-11-23T01:32:30.2163829Z              18 CALL_METHOD              1
2022-11-23T01:32:30.2163930Z              20 LOAD_CONST               1 (10)
2022-11-23T01:32:30.2164019Z              22 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.2164112Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2164188Z              26 RETURN_VALUE
2022-11-23T01:32:30.2164254Z  
2022-11-23T01:32:30.2164259Z 
2022-11-23T01:32:30.2164569Z [2022-11-23 01:26:13,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995
2022-11-23T01:32:30.2164793Z [2022-11-23 01:26:13,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2165151Z [2022-11-23 01:26:13,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2165467Z [2022-11-23 01:26:13,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2165811Z [2022-11-23 01:26:13,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2166058Z [2022-11-23 01:26:13,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2166469Z [2022-11-23 01:26:13,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2166809Z [2022-11-23 01:26:13,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2167191Z [2022-11-23 01:26:13,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2167582Z [2022-11-23 01:26:13,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2167949Z [2022-11-23 01:26:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2168222Z [2022-11-23 01:26:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2168542Z [2022-11-23 01:26:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2168820Z [2022-11-23 01:26:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2169069Z [2022-11-23 01:26:13,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2169443Z [2022-11-23 01:26:13,591] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994>
2022-11-23T01:32:30.2169693Z [2022-11-23 01:26:13,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2169932Z [2022-11-23 01:26:13,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2170192Z [2022-11-23 01:26:13,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2170446Z [2022-11-23 01:26:13,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2170636Z [2022-11-23 01:26:13,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2170778Z  __compiled_fn_188 <eval_with_key>.1175 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2170873Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2170965Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2171193Z call_function, relu, <built-in method relu of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2171376Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.2171608Z call_function, relu_1, <built-in method relu of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.2171832Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T01:32:30.2171958Z output, output, output, ((relu, truediv),), {}
2022-11-23T01:32:30.2171963Z 
2022-11-23T01:32:30.2172298Z [2022-11-23 01:26:13,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2172404Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2172501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2172593Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2172692Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2172787Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2172874Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2172956Z              12 RETURN_VALUE
2022-11-23T01:32:30.2172961Z 
2022-11-23T01:32:30.2173028Z  
2022-11-23T01:32:30.2173381Z [2022-11-23 01:26:13,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2173498Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_188)
2022-11-23T01:32:30.2173595Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2173714Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2173799Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2173888Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2173982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2174064Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2174157Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2174268Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2174377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2174474Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2174548Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2174658Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2174754Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2174835Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2174928Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.2175011Z              32 RETURN_VALUE
2022-11-23T01:32:30.2175016Z 
2022-11-23T01:32:30.2175082Z  
2022-11-23T01:32:30.2175261Z [2022-11-23 01:26:13,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2175338Z  - 
2022-11-23T01:32:30.2175461Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2175531Z             {
2022-11-23T01:32:30.2175675Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2175864Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2175990Z                 'obj_weakref': None
2022-11-23T01:32:30.2176209Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2176281Z             }
2022-11-23T01:32:30.2176352Z             
2022-11-23T01:32:30.2176429Z  - 
2022-11-23T01:32:30.2176557Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2176626Z             {
2022-11-23T01:32:30.2176772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2176881Z                 'code': None,
2022-11-23T01:32:30.2177087Z                 'obj_weakref': <weakref at 0x7f2068120450; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2177338Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2177407Z             }
2022-11-23T01:32:30.2177477Z             
2022-11-23T01:32:30.2177555Z  - 
2022-11-23T01:32:30.2177682Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2177744Z             {
2022-11-23T01:32:30.2177890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2178001Z                 'code': None,
2022-11-23T01:32:30.2178208Z                 'obj_weakref': <weakref at 0x7f20232bcd60; to 'Tensor' at 0x7f2060205490>
2022-11-23T01:32:30.2178451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2178521Z             }
2022-11-23T01:32:30.2178593Z             
2022-11-23T01:32:30.2178662Z  - 
2022-11-23T01:32:30.2178990Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2179063Z             {
2022-11-23T01:32:30.2179204Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2179380Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2179506Z                 'obj_weakref': None
2022-11-23T01:32:30.2179737Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2179807Z             }
2022-11-23T01:32:30.2179869Z             
2022-11-23T01:32:30.2179944Z  - 
2022-11-23T01:32:30.2180075Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2180142Z             {
2022-11-23T01:32:30.2180330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2180579Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2180705Z                 'obj_weakref': None
2022-11-23T01:32:30.2180984Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2181054Z             }
2022-11-23T01:32:30.2181123Z             
2022-11-23T01:32:30.2181199Z  - 
2022-11-23T01:32:30.2181349Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2181418Z             {
2022-11-23T01:32:30.2181544Z                 'guard_types': None,
2022-11-23T01:32:30.2181663Z                 'code': None,
2022-11-23T01:32:30.2181793Z                 'obj_weakref': None
2022-11-23T01:32:30.2181929Z                 'guarded_class': None
2022-11-23T01:32:30.2181999Z             }
2022-11-23T01:32:30.2182068Z             
2022-11-23T01:32:30.2182418Z [2022-11-23 01:26:13,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181
2022-11-23T01:32:30.2182833Z [2022-11-23 01:26:15,155] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5h/c5hkynxswwjgjqesewkqkbf3hg74bbxx5zumepxrsm3wx2lwarcw.py
2022-11-23T01:32:30.2183138Z [2022-11-23 01:26:15,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181
2022-11-23T01:32:30.2183144Z 
2022-11-23T01:32:30.2183247Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2183322Z import torch
2022-11-23T01:32:30.2183398Z import random
2022-11-23T01:32:30.2183529Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2183664Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2183669Z 
2022-11-23T01:32:30.2183754Z aten = torch.ops.aten
2022-11-23T01:32:30.2183897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2183999Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2184004Z 
2022-11-23T01:32:30.2184080Z import triton
2022-11-23T01:32:30.2184179Z import triton.language as tl
2022-11-23T01:32:30.2184317Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2184469Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2184481Z 
2022-11-23T01:32:30.2184486Z 
2022-11-23T01:32:30.2184636Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2184868Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2184994Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2185108Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2185217Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2185324Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2185390Z {
2022-11-23T01:32:30.2185499Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2185565Z     {
2022-11-23T01:32:30.2185642Z         #pragma omp for 
2022-11-23T01:32:30.2185734Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2185806Z         {
2022-11-23T01:32:30.2185957Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2186108Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.2186252Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:30.2186345Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:30.2186484Z             auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0));
2022-11-23T01:32:30.2186627Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:30.2186718Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:32:30.2186817Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2186919Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2186986Z         }
2022-11-23T01:32:30.2187087Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2187211Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2187274Z         {
2022-11-23T01:32:30.2187366Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2187456Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:30.2187573Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.2187665Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:30.2187759Z             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:32:30.2187868Z             auto tmp5 = static_cast<float>(10);
2022-11-23T01:32:30.2187952Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:32:30.2188040Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.2188127Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.2188195Z         }
2022-11-23T01:32:30.2188261Z     }
2022-11-23T01:32:30.2188326Z }
2022-11-23T01:32:30.2188417Z ''')
2022-11-23T01:32:30.2188423Z 
2022-11-23T01:32:30.2188427Z 
2022-11-23T01:32:30.2188517Z async_compile.wait(globals())
2022-11-23T01:32:30.2188596Z del async_compile
2022-11-23T01:32:30.2188601Z 
2022-11-23T01:32:30.2188679Z def call(args):
2022-11-23T01:32:30.2188762Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2188838Z     args.clear()
2022-11-23T01:32:30.2189060Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2189259Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2189456Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2189524Z     del arg0_1
2022-11-23T01:32:30.2189594Z     del arg1_1
2022-11-23T01:32:30.2189678Z     return (buf0, buf1, )
2022-11-23T01:32:30.2189683Z 
2022-11-23T01:32:30.2189688Z 
2022-11-23T01:32:30.2189771Z if __name__ == "__main__":
2022-11-23T01:32:30.2189891Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2190019Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2190223Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2190495Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2190632Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2190641Z 
2022-11-23T01:32:30.2190724Z ok (1.575s)
2022-11-23T01:32:30.2191032Z   test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2191347Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2191590Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2191873Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2192152Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2192468Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2192807Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2193119Z [2022-11-23 01:26:15,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2193483Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759> 
2022-11-23T01:32:30.2193586Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2193693Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:30.2193825Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2193923Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2194018Z                8 CALL_METHOD              2
2022-11-23T01:32:30.2194024Z 
2022-11-23T01:32:30.2194188Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2194288Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:30.2194385Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2194481Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2194561Z               18 BINARY_ADD
2022-11-23T01:32:30.2194656Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2194753Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2194840Z               24 BINARY_SUBTRACT
2022-11-23T01:32:30.2194930Z               26 CALL_METHOD              2
2022-11-23T01:32:30.2194942Z 
2022-11-23T01:32:30.2195039Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2195152Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:30.2195250Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2195348Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2195437Z               36 BINARY_SUBTRACT
2022-11-23T01:32:30.2195533Z               38 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2195630Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2195703Z               42 BINARY_ADD
2022-11-23T01:32:30.2195799Z               44 CALL_METHOD              2
2022-11-23T01:32:30.2195804Z 
2022-11-23T01:32:30.2195902Z 2760          46 BUILD_TUPLE              3
2022-11-23T01:32:30.2195986Z               48 RETURN_VALUE
2022-11-23T01:32:30.2196052Z  
2022-11-23T01:32:30.2196057Z 
2022-11-23T01:32:30.2196423Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761
2022-11-23T01:32:30.2196675Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2197102Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2197479Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2197875Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2198316Z [2022-11-23 01:26:15,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2198674Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762
2022-11-23T01:32:30.2198960Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2199421Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2199830Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2200265Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2200797Z [2022-11-23 01:26:15,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2201169Z [2022-11-23 01:26:15,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2201590Z [2022-11-23 01:26:15,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2202073Z [2022-11-23 01:26:15,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2202492Z [2022-11-23 01:26:15,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2202801Z [2022-11-23 01:26:15,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763
2022-11-23T01:32:30.2203078Z [2022-11-23 01:26:15,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2203491Z [2022-11-23 01:26:15,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2203863Z [2022-11-23 01:26:15,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2204265Z [2022-11-23 01:26:15,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2204711Z [2022-11-23 01:26:15,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2205110Z [2022-11-23 01:26:15,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2205533Z [2022-11-23 01:26:15,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2206002Z [2022-11-23 01:26:15,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2206434Z [2022-11-23 01:26:15,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2206745Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760
2022-11-23T01:32:30.2207037Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2207287Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2207682Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759>
2022-11-23T01:32:30.2207933Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2208193Z [2022-11-23 01:26:15,168] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2208440Z [2022-11-23 01:26:15,170] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2208689Z [2022-11-23 01:26:15,174] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2208880Z [2022-11-23 01:26:15,175] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2209021Z  __compiled_fn_189 <eval_with_key>.1181 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2209117Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2209211Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2209464Z call_function, remainder, <built-in method remainder of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.2209638Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2209807Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T01:32:30.2210056Z call_function, remainder_1, <built-in method remainder of type object at 0x7f209c394c60>, (add, sub), {}
2022-11-23T01:32:30.2210231Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:30.2210406Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:30.2210657Z call_function, remainder_2, <built-in method remainder of type object at 0x7f209c394c60>, (sub_1, add_1), {}
2022-11-23T01:32:30.2210798Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T01:32:30.2210804Z 
2022-11-23T01:32:30.2211134Z [2022-11-23 01:26:15,175] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2211235Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2211332Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2211422Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2211522Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2211613Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2211707Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2211792Z              12 RETURN_VALUE
2022-11-23T01:32:30.2211798Z 
2022-11-23T01:32:30.2211863Z  
2022-11-23T01:32:30.2212238Z [2022-11-23 01:26:15,175] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2212351Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_189)
2022-11-23T01:32:30.2212452Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2212549Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2212633Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2212728Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2212820Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2212905Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2212993Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2213104Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2213218Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2213314Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2213396Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2213501Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2213596Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2213678Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2213779Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2213900Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2213981Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.2214075Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.2214156Z              38 RETURN_VALUE
2022-11-23T01:32:30.2214183Z 
2022-11-23T01:32:30.2214249Z  
2022-11-23T01:32:30.2214438Z [2022-11-23 01:26:15,176] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2214508Z  - 
2022-11-23T01:32:30.2214634Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2214703Z             {
2022-11-23T01:32:30.2214851Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2215045Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2215168Z                 'obj_weakref': None
2022-11-23T01:32:30.2215396Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2215459Z             }
2022-11-23T01:32:30.2215530Z             
2022-11-23T01:32:30.2215606Z  - 
2022-11-23T01:32:30.2215737Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2215807Z             {
2022-11-23T01:32:30.2215954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2216072Z                 'code': None,
2022-11-23T01:32:30.2216279Z                 'obj_weakref': <weakref at 0x7f20232bc720; to 'Tensor' at 0x7f2023095710>
2022-11-23T01:32:30.2216532Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2216602Z             }
2022-11-23T01:32:30.2216671Z             
2022-11-23T01:32:30.2216749Z  - 
2022-11-23T01:32:30.2216877Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2216945Z             {
2022-11-23T01:32:30.2217085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2217198Z                 'code': None,
2022-11-23T01:32:30.2217410Z                 'obj_weakref': <weakref at 0x7f20232bdc60; to 'Tensor' at 0x7f2023096cf0>
2022-11-23T01:32:30.2217659Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2217729Z             }
2022-11-23T01:32:30.2217797Z             
2022-11-23T01:32:30.2217875Z  - 
2022-11-23T01:32:30.2218005Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2218074Z             {
2022-11-23T01:32:30.2218215Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2218392Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2218518Z                 'obj_weakref': None
2022-11-23T01:32:30.2218749Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2219006Z             }
2022-11-23T01:32:30.2219069Z             
2022-11-23T01:32:30.2219151Z  - 
2022-11-23T01:32:30.2219278Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2219349Z             {
2022-11-23T01:32:30.2219491Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2219715Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2219838Z                 'obj_weakref': None
2022-11-23T01:32:30.2220059Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2220127Z             }
2022-11-23T01:32:30.2220196Z             
2022-11-23T01:32:30.2220271Z  - 
2022-11-23T01:32:30.2220408Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2220481Z             {
2022-11-23T01:32:30.2220604Z                 'guard_types': None,
2022-11-23T01:32:30.2220707Z                 'code': None,
2022-11-23T01:32:30.2220828Z                 'obj_weakref': None
2022-11-23T01:32:30.2220952Z                 'guarded_class': None
2022-11-23T01:32:30.2221020Z             }
2022-11-23T01:32:30.2221088Z             
2022-11-23T01:32:30.2221347Z [2022-11-23 01:26:15,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182
2022-11-23T01:32:30.2221755Z [2022-11-23 01:26:16,732] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/be/cbeefnt2adycbfdu3cpvvpwildcgv5v746ujyudsm7yl6tcelqnr.py
2022-11-23T01:32:30.2222037Z [2022-11-23 01:26:16,732] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182
2022-11-23T01:32:30.2222052Z 
2022-11-23T01:32:30.2222144Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2222218Z import torch
2022-11-23T01:32:30.2222293Z import random
2022-11-23T01:32:30.2222413Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2222539Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2222544Z 
2022-11-23T01:32:30.2222628Z aten = torch.ops.aten
2022-11-23T01:32:30.2222767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2222859Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2222864Z 
2022-11-23T01:32:30.2222938Z import triton
2022-11-23T01:32:30.2223034Z import triton.language as tl
2022-11-23T01:32:30.2223162Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2223304Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2223312Z 
2022-11-23T01:32:30.2223317Z 
2022-11-23T01:32:30.2223457Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2223668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2223793Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2223897Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2224002Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2224105Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.2224205Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.2224271Z {
2022-11-23T01:32:30.2224373Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2224440Z     {
2022-11-23T01:32:30.2224519Z         #pragma omp for 
2022-11-23T01:32:30.2224609Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.2224678Z         {
2022-11-23T01:32:30.2224751Z             {
2022-11-23T01:32:30.2224821Z                 {
2022-11-23T01:32:30.2224926Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2225024Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.2225121Z                     auto tmp2 = mod(tmp0, tmp1);
2022-11-23T01:32:30.2225217Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:30.2225349Z                     auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2;
2022-11-23T01:32:30.2225464Z                     auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:30.2225562Z                     auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:30.2225700Z                     auto tmp7 = tmp1 - tmp5;
2022-11-23T01:32:30.2225803Z                     auto tmp8 = mod(tmp6, tmp7);
2022-11-23T01:32:30.2225891Z                     auto tmp9 = tmp8 + tmp7;
2022-11-23T01:32:30.2226026Z                     auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8;
2022-11-23T01:32:30.2226167Z                     auto tmp11 = tmp0 - tmp5;
2022-11-23T01:32:30.2226266Z                     auto tmp12 = tmp1 + tmp5;
2022-11-23T01:32:30.2226371Z                     auto tmp13 = mod(tmp11, tmp12);
2022-11-23T01:32:30.2226473Z                     auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:30.2226607Z                     auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13;
2022-11-23T01:32:30.2226692Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.2226783Z                     out_ptr1[i0] = tmp10;
2022-11-23T01:32:30.2226874Z                     out_ptr2[i0] = tmp15;
2022-11-23T01:32:30.2226944Z                 }
2022-11-23T01:32:30.2227012Z             }
2022-11-23T01:32:30.2227080Z         }
2022-11-23T01:32:30.2227146Z     }
2022-11-23T01:32:30.2227205Z }
2022-11-23T01:32:30.2227289Z ''')
2022-11-23T01:32:30.2227295Z 
2022-11-23T01:32:30.2227330Z 
2022-11-23T01:32:30.2227426Z async_compile.wait(globals())
2022-11-23T01:32:30.2227501Z del async_compile
2022-11-23T01:32:30.2227507Z 
2022-11-23T01:32:30.2227582Z def call(args):
2022-11-23T01:32:30.2227684Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2227761Z     args.clear()
2022-11-23T01:32:30.2227949Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2228145Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2228340Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2228560Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.2228633Z     del arg0_1
2022-11-23T01:32:30.2228706Z     del arg1_1
2022-11-23T01:32:30.2228794Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.2228799Z 
2022-11-23T01:32:30.2228804Z 
2022-11-23T01:32:30.2228890Z if __name__ == "__main__":
2022-11-23T01:32:30.2229009Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2229130Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2229330Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2229523Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2229643Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2229648Z 
2022-11-23T01:32:30.2229721Z ok (1.577s)
2022-11-23T01:32:30.2230024Z   test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:26:16,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2230409Z [2022-11-23 01:26:16,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2230665Z [2022-11-23 01:26:16,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2230948Z [2022-11-23 01:26:16,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2231230Z [2022-11-23 01:26:16,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2231555Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2231899Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2232224Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2232602Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152> 
2022-11-23T01:32:30.2232707Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2232814Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:30.2232917Z                4 LOAD_CONST               1 (2)
2022-11-23T01:32:30.2233007Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:30.2233103Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:30.2233200Z               10 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2233295Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2233301Z 
2022-11-23T01:32:30.2233396Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2233499Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:30.2233591Z               18 LOAD_CONST               4 (8)
2022-11-23T01:32:30.2233684Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2233800Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2233897Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2233991Z               26 CALL_METHOD              4
2022-11-23T01:32:30.2233996Z 
2022-11-23T01:32:30.2234111Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2234211Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:30.2234304Z               32 LOAD_CONST               1 (2)
2022-11-23T01:32:30.2234396Z               34 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2234482Z               36 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2234574Z               38 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2234666Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2234759Z               42 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2234853Z               44 CALL_METHOD              6
2022-11-23T01:32:30.2234858Z 
2022-11-23T01:32:30.2234951Z 2153          46 BUILD_TUPLE              3
2022-11-23T01:32:30.2235036Z               48 RETURN_VALUE
2022-11-23T01:32:30.2235102Z  
2022-11-23T01:32:30.2235107Z 
2022-11-23T01:32:30.2235415Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154
2022-11-23T01:32:30.2235631Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.2235877Z [2022-11-23 01:26:16,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T01:32:30.2236153Z [2022-11-23 01:26:16,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:30.2236463Z [2022-11-23 01:26:16,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:30.2236817Z [2022-11-23 01:26:16,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2237195Z [2022-11-23 01:26:16,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2237616Z [2022-11-23 01:26:16,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2237927Z [2022-11-23 01:26:16,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155
2022-11-23T01:32:30.2238165Z [2022-11-23 01:26:16,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.2238435Z [2022-11-23 01:26:16,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2238730Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:30.2239070Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:30.2239448Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2239853Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2240320Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2240631Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156
2022-11-23T01:32:30.2240918Z [2022-11-23 01:26:16,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2241219Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2241556Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:30.2241967Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:30.2242372Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2242811Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2243285Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2243785Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2244338Z [2022-11-23 01:26:16,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2244648Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153
2022-11-23T01:32:30.2244944Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2245193Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2245574Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152>
2022-11-23T01:32:30.2245824Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2246064Z [2022-11-23 01:26:16,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2246324Z [2022-11-23 01:26:16,743] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2246576Z [2022-11-23 01:26:16,746] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2246772Z [2022-11-23 01:26:16,746] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2246913Z  __compiled_fn_190 <eval_with_key>.1187 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2247001Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2247117Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T01:32:30.2247271Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T01:32:30.2247394Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T01:32:30.2247523Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T01:32:30.2247551Z 
2022-11-23T01:32:30.2247881Z [2022-11-23 01:26:16,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2247982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2248082Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2248168Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2248269Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2248364Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2248457Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2248540Z              12 RETURN_VALUE
2022-11-23T01:32:30.2248545Z 
2022-11-23T01:32:30.2248611Z  
2022-11-23T01:32:30.2248942Z [2022-11-23 01:26:16,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2249059Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_190)
2022-11-23T01:32:30.2249152Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2249247Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2249330Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2249424Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2249533Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2249645Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2249740Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2249815Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2249922Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2250016Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2250102Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2250211Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2250306Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2250390Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2250477Z              30 BUILD_TUPLE              3
2022-11-23T01:32:30.2250559Z              32 RETURN_VALUE
2022-11-23T01:32:30.2250564Z 
2022-11-23T01:32:30.2250630Z  
2022-11-23T01:32:30.2250819Z [2022-11-23 01:26:16,747] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2250894Z  - 
2022-11-23T01:32:30.2251022Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2251089Z             {
2022-11-23T01:32:30.2251226Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2251419Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2251543Z                 'obj_weakref': None
2022-11-23T01:32:30.2251805Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2251888Z             }
2022-11-23T01:32:30.2251954Z             
2022-11-23T01:32:30.2252030Z  - 
2022-11-23T01:32:30.2252149Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2252219Z             {
2022-11-23T01:32:30.2252367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2252477Z                 'code': None,
2022-11-23T01:32:30.2252685Z                 'obj_weakref': <weakref at 0x7f20230941d0; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2252939Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2253009Z             }
2022-11-23T01:32:30.2253071Z             
2022-11-23T01:32:30.2253145Z  - 
2022-11-23T01:32:30.2253279Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2253347Z             {
2022-11-23T01:32:30.2253487Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2253738Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2253864Z                 'obj_weakref': None
2022-11-23T01:32:30.2254085Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2254179Z             }
2022-11-23T01:32:30.2254248Z             
2022-11-23T01:32:30.2254323Z  - 
2022-11-23T01:32:30.2254449Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2254517Z             {
2022-11-23T01:32:30.2254656Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2254866Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2254990Z                 'obj_weakref': None
2022-11-23T01:32:30.2255210Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2255279Z             }
2022-11-23T01:32:30.2255347Z             
2022-11-23T01:32:30.2255612Z [2022-11-23 01:26:16,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183
2022-11-23T01:32:30.2255974Z [2022-11-23 01:26:18,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eg/ceg33zxgepkobu5x3uajyn5723pe5nc2p6yntf5f2x7jcbmlde5l.py
2022-11-23T01:32:30.2256249Z [2022-11-23 01:26:18,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183
2022-11-23T01:32:30.2256255Z 
2022-11-23T01:32:30.2256347Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2256421Z import torch
2022-11-23T01:32:30.2256495Z import random
2022-11-23T01:32:30.2256619Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2256744Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2256749Z 
2022-11-23T01:32:30.2256832Z aten = torch.ops.aten
2022-11-23T01:32:30.2256972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2257063Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2257074Z 
2022-11-23T01:32:30.2257144Z import triton
2022-11-23T01:32:30.2257238Z import triton.language as tl
2022-11-23T01:32:30.2257370Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2257511Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2257521Z 
2022-11-23T01:32:30.2257526Z 
2022-11-23T01:32:30.2257664Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2257874Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2258001Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2258107Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2258166Z {
2022-11-23T01:32:30.2258272Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2258337Z     {
2022-11-23T01:32:30.2258434Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2258521Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2258588Z         {
2022-11-23T01:32:30.2258674Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.2258747Z             {
2022-11-23T01:32:30.2259022Z                 #pragma GCC ivdep
2022-11-23T01:32:30.2259120Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:30.2259193Z                 {
2022-11-23T01:32:30.2259291Z                     for(long i3=0; i3<1; i3+=1)
2022-11-23T01:32:30.2259364Z                     {
2022-11-23T01:32:30.2259523Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2)));
2022-11-23T01:32:30.2259653Z                         tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0));
2022-11-23T01:32:30.2259725Z                     }
2022-11-23T01:32:30.2259831Z                     #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.2259929Z                     for(long i3=8; i3<8; i3+=1)
2022-11-23T01:32:30.2260002Z                     {
2022-11-23T01:32:30.2260123Z                         auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))];
2022-11-23T01:32:30.2260287Z                         out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0;
2022-11-23T01:32:30.2260354Z                     }
2022-11-23T01:32:30.2260425Z                 }
2022-11-23T01:32:30.2260525Z             }
2022-11-23T01:32:30.2260595Z         }
2022-11-23T01:32:30.2260664Z     }
2022-11-23T01:32:30.2260730Z }
2022-11-23T01:32:30.2260812Z ''')
2022-11-23T01:32:30.2260825Z 
2022-11-23T01:32:30.2260830Z 
2022-11-23T01:32:30.2260918Z async_compile.wait(globals())
2022-11-23T01:32:30.2260995Z del async_compile
2022-11-23T01:32:30.2261001Z 
2022-11-23T01:32:30.2261077Z def call(args):
2022-11-23T01:32:30.2261150Z     arg0_1, = args
2022-11-23T01:32:30.2261228Z     args.clear()
2022-11-23T01:32:30.2261442Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2261583Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2261739Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T01:32:30.2261751Z 
2022-11-23T01:32:30.2261755Z 
2022-11-23T01:32:30.2261830Z if __name__ == "__main__":
2022-11-23T01:32:30.2261953Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2262082Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2262293Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2262406Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2262411Z 
2022-11-23T01:32:30.2262484Z ok (1.620s)
2022-11-23T01:32:30.2262635Z   test_roi_align_cpu (__main__.CpuTests) ... skip: requires torchvision (0.001s)
2022-11-23T01:32:30.2262933Z   test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2263244Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2263460Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2263714Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2263991Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2264308Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2264645Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2264961Z [2022-11-23 01:26:18,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2265328Z [2022-11-23 01:26:18,359] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233> 
2022-11-23T01:32:30.2265432Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2265531Z                2 LOAD_METHOD              1 (roll)
2022-11-23T01:32:30.2265620Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2265765Z                6 LOAD_CONST               1 (-3)
2022-11-23T01:32:30.2265862Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:30.2265959Z               10 BUILD_LIST               2
2022-11-23T01:32:30.2266054Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2266148Z               14 LOAD_CONST               4 (2)
2022-11-23T01:32:30.2266241Z               16 BUILD_LIST               2
2022-11-23T01:32:30.2266328Z               18 CALL_METHOD              3
2022-11-23T01:32:30.2266333Z 
2022-11-23T01:32:30.2266461Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2266560Z               22 LOAD_METHOD              1 (roll)
2022-11-23T01:32:30.2266654Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2266773Z               26 LOAD_CONST               5 (5)
2022-11-23T01:32:30.2266866Z               28 BUILD_LIST               1
2022-11-23T01:32:30.2266962Z               30 CALL_METHOD              2
2022-11-23T01:32:30.2266968Z 
2022-11-23T01:32:30.2267059Z 4234          32 BUILD_TUPLE              2
2022-11-23T01:32:30.2267135Z               34 RETURN_VALUE
2022-11-23T01:32:30.2267201Z  
2022-11-23T01:32:30.2267206Z 
2022-11-23T01:32:30.2267517Z [2022-11-23 01:26:18,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235
2022-11-23T01:32:30.2267741Z [2022-11-23 01:26:18,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2268047Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2268296Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T01:32:30.2268579Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:30.2268895Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2269246Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2269534Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2269869Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2270235Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2270674Z [2022-11-23 01:26:18,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.2271004Z [2022-11-23 01:26:18,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236
2022-11-23T01:32:30.2271251Z [2022-11-23 01:26:18,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.2271583Z [2022-11-23 01:26:18,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2271861Z [2022-11-23 01:26:18,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T01:32:30.2272169Z [2022-11-23 01:26:18,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:30.2272502Z [2022-11-23 01:26:18,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2272835Z [2022-11-23 01:26:18,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2273148Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234
2022-11-23T01:32:30.2273439Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2273688Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2274083Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233>
2022-11-23T01:32:30.2274330Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2274565Z [2022-11-23 01:26:18,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2274818Z [2022-11-23 01:26:18,376] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2275071Z [2022-11-23 01:26:18,378] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2275265Z [2022-11-23 01:26:18,379] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2275408Z  __compiled_fn_191 <eval_with_key>.1193 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2275499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2275675Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T01:32:30.2275787Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T01:32:30.2275897Z output, output, output, ((roll, roll_1),), {}
2022-11-23T01:32:30.2275902Z 
2022-11-23T01:32:30.2276229Z [2022-11-23 01:26:18,379] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2276331Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2276428Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2276522Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2276619Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2276710Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2276804Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2276886Z              12 RETURN_VALUE
2022-11-23T01:32:30.2276897Z 
2022-11-23T01:32:30.2276963Z  
2022-11-23T01:32:30.2277290Z [2022-11-23 01:26:18,379] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2277407Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_191)
2022-11-23T01:32:30.2277504Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2277593Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2277675Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2277770Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2277881Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2277991Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2278090Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2278172Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2278272Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2278372Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2278453Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2278548Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2278629Z              26 RETURN_VALUE
2022-11-23T01:32:30.2278634Z 
2022-11-23T01:32:30.2278699Z  
2022-11-23T01:32:30.2278886Z [2022-11-23 01:26:18,380] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2278956Z  - 
2022-11-23T01:32:30.2279084Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2279154Z             {
2022-11-23T01:32:30.2279300Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2279492Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2279646Z                 'obj_weakref': None
2022-11-23T01:32:30.2279875Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2279938Z             }
2022-11-23T01:32:30.2280029Z             
2022-11-23T01:32:30.2280106Z  - 
2022-11-23T01:32:30.2280236Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2280305Z             {
2022-11-23T01:32:30.2280452Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2280565Z                 'code': None,
2022-11-23T01:32:30.2280771Z                 'obj_weakref': <weakref at 0x7f2151eecef0; to 'Tensor' at 0x7f2022f100e0>
2022-11-23T01:32:30.2281026Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2281095Z             }
2022-11-23T01:32:30.2281163Z             
2022-11-23T01:32:30.2281242Z  - 
2022-11-23T01:32:30.2281379Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2281449Z             {
2022-11-23T01:32:30.2281604Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2281807Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2281936Z                 'obj_weakref': None
2022-11-23T01:32:30.2282175Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2282244Z             }
2022-11-23T01:32:30.2282315Z             
2022-11-23T01:32:30.2282390Z  - 
2022-11-23T01:32:30.2282510Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2282579Z             {
2022-11-23T01:32:30.2282722Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2282941Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2283064Z                 'obj_weakref': None
2022-11-23T01:32:30.2283292Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2283360Z             }
2022-11-23T01:32:30.2283425Z             
2022-11-23T01:32:30.2283500Z  - 
2022-11-23T01:32:30.2283637Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2283709Z             {
2022-11-23T01:32:30.2283840Z                 'guard_types': None,
2022-11-23T01:32:30.2283952Z                 'code': None,
2022-11-23T01:32:30.2284077Z                 'obj_weakref': None
2022-11-23T01:32:30.2284197Z                 'guarded_class': None
2022-11-23T01:32:30.2284267Z             }
2022-11-23T01:32:30.2284336Z             
2022-11-23T01:32:30.2284599Z [2022-11-23 01:26:18,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184
2022-11-23T01:32:30.2284963Z [2022-11-23 01:26:20,042] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hj/chjlew37oa7qr6pomjiskfehiogq5hskigdk5jtvaglhorm2ad2i.py
2022-11-23T01:32:30.2285230Z [2022-11-23 01:26:20,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184
2022-11-23T01:32:30.2285236Z 
2022-11-23T01:32:30.2285341Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2285415Z import torch
2022-11-23T01:32:30.2285482Z import random
2022-11-23T01:32:30.2285604Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2285735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2285740Z 
2022-11-23T01:32:30.2285823Z aten = torch.ops.aten
2022-11-23T01:32:30.2285967Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2286066Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2286071Z 
2022-11-23T01:32:30.2286148Z import triton
2022-11-23T01:32:30.2286234Z import triton.language as tl
2022-11-23T01:32:30.2286362Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2286503Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2286509Z 
2022-11-23T01:32:30.2286514Z 
2022-11-23T01:32:30.2286654Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2286905Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2287033Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2287140Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2287268Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2287327Z {
2022-11-23T01:32:30.2287428Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2287495Z     {
2022-11-23T01:32:30.2287592Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2287682Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2287754Z         {
2022-11-23T01:32:30.2287845Z             for(long i1=0; i1<56; i1+=1)
2022-11-23T01:32:30.2287908Z             {
2022-11-23T01:32:30.2288001Z                 #pragma GCC ivdep
2022-11-23T01:32:30.2288098Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:32:30.2288169Z                 {
2022-11-23T01:32:30.2288268Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:32:30.2288344Z                     {
2022-11-23T01:32:30.2288524Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0));
2022-11-23T01:32:30.2288658Z                         tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0));
2022-11-23T01:32:30.2288726Z                     }
2022-11-23T01:32:30.2288834Z                     #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.2288933Z                     for(long i3=16; i3<16; i3+=1)
2022-11-23T01:32:30.2289005Z                     {
2022-11-23T01:32:30.2289143Z                         auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)];
2022-11-23T01:32:30.2289262Z                         out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2022-11-23T01:32:30.2289337Z                     }
2022-11-23T01:32:30.2289401Z                 }
2022-11-23T01:32:30.2289471Z             }
2022-11-23T01:32:30.2289540Z         }
2022-11-23T01:32:30.2289626Z         #pragma omp for 
2022-11-23T01:32:30.2289718Z         for(long i0=0; i0<100352; i0+=1)
2022-11-23T01:32:30.2289785Z         {
2022-11-23T01:32:30.2289847Z             {
2022-11-23T01:32:30.2289921Z                 {
2022-11-23T01:32:30.2290032Z                     auto tmp0 = in_ptr0[(100347 + i0) % 100352];
2022-11-23T01:32:30.2290123Z                     out_ptr1[i0] = tmp0;
2022-11-23T01:32:30.2290193Z                 }
2022-11-23T01:32:30.2290264Z             }
2022-11-23T01:32:30.2290331Z         }
2022-11-23T01:32:30.2290391Z     }
2022-11-23T01:32:30.2290457Z }
2022-11-23T01:32:30.2290546Z ''')
2022-11-23T01:32:30.2290551Z 
2022-11-23T01:32:30.2290556Z 
2022-11-23T01:32:30.2290650Z async_compile.wait(globals())
2022-11-23T01:32:30.2290726Z del async_compile
2022-11-23T01:32:30.2290732Z 
2022-11-23T01:32:30.2290807Z def call(args):
2022-11-23T01:32:30.2290882Z     arg0_1, = args
2022-11-23T01:32:30.2290952Z     args.clear()
2022-11-23T01:32:30.2291179Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2291381Z     buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2291559Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2291650Z     del arg0_1
2022-11-23T01:32:30.2291788Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T01:32:30.2291794Z 
2022-11-23T01:32:30.2291800Z 
2022-11-23T01:32:30.2291890Z if __name__ == "__main__":
2022-11-23T01:32:30.2292008Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2292137Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2292351Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2292466Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2292471Z 
2022-11-23T01:32:30.2292543Z ok (1.690s)
2022-11-23T01:32:30.2292899Z   test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2293240Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2293458Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2293711Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2293987Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2294300Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2294635Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2294951Z [2022-11-23 01:26:20,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2295318Z [2022-11-23 01:26:20,049] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026> 
2022-11-23T01:32:30.2295422Z  1027           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2295523Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:30.2295621Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2295715Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2295796Z                8 RETURN_VALUE
2022-11-23T01:32:30.2295855Z  
2022-11-23T01:32:30.2295867Z 
2022-11-23T01:32:30.2296172Z [2022-11-23 01:26:20,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1027
2022-11-23T01:32:30.2296391Z [2022-11-23 01:26:20,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2296755Z [2022-11-23 01:26:20,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2297069Z [2022-11-23 01:26:20,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2297415Z [2022-11-23 01:26:20,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2297663Z [2022-11-23 01:26:20,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2298033Z [2022-11-23 01:26:20,051] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026>
2022-11-23T01:32:30.2298283Z [2022-11-23 01:26:20,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2298516Z [2022-11-23 01:26:20,051] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2298772Z [2022-11-23 01:26:20,051] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2299320Z [2022-11-23 01:26:20,053] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2299513Z [2022-11-23 01:26:20,053] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2299653Z  __compiled_fn_192 <eval_with_key>.1199 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2299750Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2300032Z call_function, round_1, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2300141Z output, output, output, ((round_1,),), {}
2022-11-23T01:32:30.2300176Z 
2022-11-23T01:32:30.2300501Z [2022-11-23 01:26:20,054] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2300601Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2300692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2300786Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2300885Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2300978Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2301076Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2301158Z              12 RETURN_VALUE
2022-11-23T01:32:30.2301164Z 
2022-11-23T01:32:30.2301230Z  
2022-11-23T01:32:30.2301649Z [2022-11-23 01:26:20,054] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2301774Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_192)
2022-11-23T01:32:30.2301876Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2301974Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2302059Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2302152Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2302250Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2302332Z              12 RETURN_VALUE
2022-11-23T01:32:30.2302337Z 
2022-11-23T01:32:30.2302397Z  
2022-11-23T01:32:30.2302588Z [2022-11-23 01:26:20,054] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2302669Z  - 
2022-11-23T01:32:30.2302793Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2302863Z             {
2022-11-23T01:32:30.2303009Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2303204Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2303322Z                 'obj_weakref': None
2022-11-23T01:32:30.2303557Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2303626Z             }
2022-11-23T01:32:30.2303695Z             
2022-11-23T01:32:30.2303771Z  - 
2022-11-23T01:32:30.2303900Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2303968Z             {
2022-11-23T01:32:30.2304111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2304225Z                 'code': None,
2022-11-23T01:32:30.2304435Z                 'obj_weakref': <weakref at 0x7f2023103470; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2304688Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2304840Z             }
2022-11-23T01:32:30.2304911Z             
2022-11-23T01:32:30.2304990Z  - 
2022-11-23T01:32:30.2305122Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2305191Z             {
2022-11-23T01:32:30.2305332Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2305510Z                 'code': ['___check_obj_id(model, 139777337106512)'],
2022-11-23T01:32:30.2305633Z                 'obj_weakref': None
2022-11-23T01:32:30.2305861Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2305932Z             }
2022-11-23T01:32:30.2305995Z             
2022-11-23T01:32:30.2306074Z  - 
2022-11-23T01:32:30.2306201Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2306270Z             {
2022-11-23T01:32:30.2306410Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2306631Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2306754Z                 'obj_weakref': None
2022-11-23T01:32:30.2307006Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2307077Z             }
2022-11-23T01:32:30.2307147Z             
2022-11-23T01:32:30.2307243Z  - 
2022-11-23T01:32:30.2307382Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2307452Z             {
2022-11-23T01:32:30.2307576Z                 'guard_types': None,
2022-11-23T01:32:30.2307681Z                 'code': None,
2022-11-23T01:32:30.2307804Z                 'obj_weakref': None
2022-11-23T01:32:30.2307929Z                 'guarded_class': None
2022-11-23T01:32:30.2307998Z             }
2022-11-23T01:32:30.2308067Z             
2022-11-23T01:32:30.2308330Z [2022-11-23 01:26:20,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185
2022-11-23T01:32:30.2308691Z [2022-11-23 01:26:21,589] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/he/checyi57krmn5gayivbco5peihp2hgbo2aabaij7syl3a6wvorij.py
2022-11-23T01:32:30.2308960Z [2022-11-23 01:26:21,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185
2022-11-23T01:32:30.2308966Z 
2022-11-23T01:32:30.2309059Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2309138Z import torch
2022-11-23T01:32:30.2309213Z import random
2022-11-23T01:32:30.2309337Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2309464Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2309469Z 
2022-11-23T01:32:30.2309554Z aten = torch.ops.aten
2022-11-23T01:32:30.2309696Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2309788Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2309803Z 
2022-11-23T01:32:30.2309871Z import triton
2022-11-23T01:32:30.2309966Z import triton.language as tl
2022-11-23T01:32:30.2310095Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2310237Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2310303Z 
2022-11-23T01:32:30.2310309Z 
2022-11-23T01:32:30.2310477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2310698Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2310830Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:30.2310931Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:30.2310999Z {
2022-11-23T01:32:30.2311104Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2311172Z     {
2022-11-23T01:32:30.2311256Z         #pragma omp for 
2022-11-23T01:32:30.2311346Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:32:30.2311415Z         {
2022-11-23T01:32:30.2311478Z             {
2022-11-23T01:32:30.2311549Z                 {
2022-11-23T01:32:30.2311673Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2311801Z                     auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:32:30.2311905Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.2311979Z                 }
2022-11-23T01:32:30.2312048Z             }
2022-11-23T01:32:30.2312110Z         }
2022-11-23T01:32:30.2312178Z     }
2022-11-23T01:32:30.2312243Z }
2022-11-23T01:32:30.2312333Z ''')
2022-11-23T01:32:30.2312339Z 
2022-11-23T01:32:30.2312344Z 
2022-11-23T01:32:30.2312439Z async_compile.wait(globals())
2022-11-23T01:32:30.2312520Z del async_compile
2022-11-23T01:32:30.2312525Z 
2022-11-23T01:32:30.2312602Z def call(args):
2022-11-23T01:32:30.2312670Z     arg0_1, = args
2022-11-23T01:32:30.2312747Z     args.clear()
2022-11-23T01:32:30.2312946Z     buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.2313089Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2313163Z     del arg0_1
2022-11-23T01:32:30.2313240Z     return (buf0, )
2022-11-23T01:32:30.2313246Z 
2022-11-23T01:32:30.2313250Z 
2022-11-23T01:32:30.2313333Z if __name__ == "__main__":
2022-11-23T01:32:30.2313487Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2313612Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2313813Z     arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.2313953Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2313958Z 
2022-11-23T01:32:30.2314030Z ok (1.545s)
2022-11-23T01:32:30.2314333Z   test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2314650Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2314870Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2315124Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2315396Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2315714Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2316063Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2316386Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2316758Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012> 
2022-11-23T01:32:30.2316866Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2316970Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:30.2317068Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2317166Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2317266Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2317363Z               10 LOAD_METHOD              1 (round)
2022-11-23T01:32:30.2317460Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2317556Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2317636Z               16 BINARY_ADD
2022-11-23T01:32:30.2317731Z               18 CALL_METHOD              1
2022-11-23T01:32:30.2317830Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2317926Z               22 LOAD_ATTR                1 (round)
2022-11-23T01:32:30.2318015Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2318111Z               26 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2318277Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T01:32:30.2318378Z               30 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.2318474Z               32 BUILD_TUPLE              3
2022-11-23T01:32:30.2318556Z               34 RETURN_VALUE
2022-11-23T01:32:30.2318626Z  
2022-11-23T01:32:30.2318631Z 
2022-11-23T01:32:30.2318942Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013
2022-11-23T01:32:30.2319166Z [2022-11-23 01:26:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2319533Z [2022-11-23 01:26:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2319850Z [2022-11-23 01:26:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2320223Z [2022-11-23 01:26:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2320472Z [2022-11-23 01:26:21,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2320883Z [2022-11-23 01:26:21,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2321226Z [2022-11-23 01:26:21,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2321590Z [2022-11-23 01:26:21,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2322000Z [2022-11-23 01:26:21,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2322379Z [2022-11-23 01:26:21,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2322648Z [2022-11-23 01:26:21,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2323053Z [2022-11-23 01:26:21,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2323423Z [2022-11-23 01:26:21,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2323817Z [2022-11-23 01:26:21,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2324264Z [2022-11-23 01:26:21,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2324741Z [2022-11-23 01:26:21,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.2325036Z [2022-11-23 01:26:21,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2325285Z [2022-11-23 01:26:21,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2325656Z [2022-11-23 01:26:21,599] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012>
2022-11-23T01:32:30.2325908Z [2022-11-23 01:26:21,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2326144Z [2022-11-23 01:26:21,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2326402Z [2022-11-23 01:26:21,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2326661Z [2022-11-23 01:26:21,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2326848Z [2022-11-23 01:26:21,604] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2327018Z  __compiled_fn_193 <eval_with_key>.1205 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2327115Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2327207Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2327465Z call_function, round_1, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2327648Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:30.2327878Z call_function, round_2, <built-in method round of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.2328129Z call_function, round_3, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {'decimals': 2}
2022-11-23T01:32:30.2328250Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T01:32:30.2328262Z 
2022-11-23T01:32:30.2328585Z [2022-11-23 01:26:21,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2328691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2328789Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2328884Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2328989Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2329083Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2329178Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2329254Z              12 RETURN_VALUE
2022-11-23T01:32:30.2329260Z 
2022-11-23T01:32:30.2329327Z  
2022-11-23T01:32:30.2329656Z [2022-11-23 01:26:21,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2329774Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_193)
2022-11-23T01:32:30.2329872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2329968Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2330053Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2330149Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2330237Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2330319Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2330419Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2330530Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2330640Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2330735Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2330816Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2330915Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2331009Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2331090Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2331199Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2331292Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2331376Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.2331471Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.2331546Z              38 RETURN_VALUE
2022-11-23T01:32:30.2331551Z 
2022-11-23T01:32:30.2331622Z  
2022-11-23T01:32:30.2331810Z [2022-11-23 01:26:21,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2331887Z  - 
2022-11-23T01:32:30.2332012Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2332082Z             {
2022-11-23T01:32:30.2332227Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2332415Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2332540Z                 'obj_weakref': None
2022-11-23T01:32:30.2332768Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2332837Z             }
2022-11-23T01:32:30.2332906Z             
2022-11-23T01:32:30.2332984Z  - 
2022-11-23T01:32:30.2333113Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2333207Z             {
2022-11-23T01:32:30.2333360Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2333473Z                 'code': None,
2022-11-23T01:32:30.2333708Z                 'obj_weakref': <weakref at 0x7f207274e7a0; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2333962Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2334032Z             }
2022-11-23T01:32:30.2334102Z             
2022-11-23T01:32:30.2334170Z  - 
2022-11-23T01:32:30.2334299Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2334369Z             {
2022-11-23T01:32:30.2334513Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2334625Z                 'code': None,
2022-11-23T01:32:30.2334830Z                 'obj_weakref': <weakref at 0x7f207274fd30; to 'Tensor' at 0x7f2023066660>
2022-11-23T01:32:30.2335072Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2335141Z             }
2022-11-23T01:32:30.2335203Z             
2022-11-23T01:32:30.2335279Z  - 
2022-11-23T01:32:30.2335414Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2335491Z             {
2022-11-23T01:32:30.2335630Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2335807Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2335924Z                 'obj_weakref': None
2022-11-23T01:32:30.2336156Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2336226Z             }
2022-11-23T01:32:30.2336295Z             
2022-11-23T01:32:30.2336370Z  - 
2022-11-23T01:32:30.2336497Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2336567Z             {
2022-11-23T01:32:30.2336702Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2336925Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2337049Z                 'obj_weakref': None
2022-11-23T01:32:30.2337273Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2337344Z             }
2022-11-23T01:32:30.2337412Z             
2022-11-23T01:32:30.2337487Z  - 
2022-11-23T01:32:30.2337619Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2337689Z             {
2022-11-23T01:32:30.2337813Z                 'guard_types': None,
2022-11-23T01:32:30.2337924Z                 'code': None,
2022-11-23T01:32:30.2338047Z                 'obj_weakref': None
2022-11-23T01:32:30.2338173Z                 'guarded_class': None
2022-11-23T01:32:30.2338241Z             }
2022-11-23T01:32:30.2338303Z             
2022-11-23T01:32:30.2338568Z [2022-11-23 01:26:21,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186
2022-11-23T01:32:30.2339133Z [2022-11-23 01:26:23,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j7/cj7su73vrc6khyc4cagoggozopupnynogdp3myrpruqcylnnu2td.py
2022-11-23T01:32:30.2339410Z [2022-11-23 01:26:23,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186
2022-11-23T01:32:30.2339419Z 
2022-11-23T01:32:30.2339519Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2339593Z import torch
2022-11-23T01:32:30.2339668Z import random
2022-11-23T01:32:30.2339789Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2339909Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2339914Z 
2022-11-23T01:32:30.2339998Z aten = torch.ops.aten
2022-11-23T01:32:30.2340138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2340236Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2340241Z 
2022-11-23T01:32:30.2340314Z import triton
2022-11-23T01:32:30.2340410Z import triton.language as tl
2022-11-23T01:32:30.2340599Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2340736Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2340749Z 
2022-11-23T01:32:30.2340754Z 
2022-11-23T01:32:30.2340916Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2341126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2341254Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2341366Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2341470Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2341573Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.2341676Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.2341745Z {
2022-11-23T01:32:30.2341842Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2341910Z     {
2022-11-23T01:32:30.2341993Z         #pragma omp for 
2022-11-23T01:32:30.2342085Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2342153Z         {
2022-11-23T01:32:30.2342297Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2342384Z             auto tmp1 = tmp0.round();
2022-11-23T01:32:30.2342533Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(100.0));
2022-11-23T01:32:30.2342623Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:30.2342714Z             auto tmp4 = tmp3.round();
2022-11-23T01:32:30.2342858Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(0.01));
2022-11-23T01:32:30.2342948Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.2343046Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2343142Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2343203Z         }
2022-11-23T01:32:30.2343304Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2343392Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2343461Z         {
2022-11-23T01:32:30.2343553Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2343660Z             auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:32:30.2343771Z             auto tmp2 = static_cast<float>(100.0);
2022-11-23T01:32:30.2343856Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:30.2343966Z             auto tmp4 = std::nearbyint(tmp3);
2022-11-23T01:32:30.2344073Z             auto tmp5 = static_cast<float>(0.01);
2022-11-23T01:32:30.2344162Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.2344247Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.2344335Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.2344402Z         }
2022-11-23T01:32:30.2344477Z         #pragma omp for 
2022-11-23T01:32:30.2344565Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2344632Z         {
2022-11-23T01:32:30.2344774Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.2344915Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2345005Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2345094Z             auto tmp3 = tmp2.round();
2022-11-23T01:32:30.2345182Z             tmp3.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.2345252Z         }
2022-11-23T01:32:30.2345351Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2345440Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2345508Z         {
2022-11-23T01:32:30.2345596Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.2345699Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.2345781Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2345885Z             auto tmp3 = std::nearbyint(tmp2);
2022-11-23T01:32:30.2345970Z             out_ptr2[i0] = tmp3;
2022-11-23T01:32:30.2346037Z         }
2022-11-23T01:32:30.2346104Z     }
2022-11-23T01:32:30.2346169Z }
2022-11-23T01:32:30.2346256Z ''')
2022-11-23T01:32:30.2346262Z 
2022-11-23T01:32:30.2346267Z 
2022-11-23T01:32:30.2346354Z async_compile.wait(globals())
2022-11-23T01:32:30.2346461Z del async_compile
2022-11-23T01:32:30.2346467Z 
2022-11-23T01:32:30.2346543Z def call(args):
2022-11-23T01:32:30.2346623Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2346698Z     args.clear()
2022-11-23T01:32:30.2346919Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2347114Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2347295Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2347516Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2347592Z     del arg0_1
2022-11-23T01:32:30.2347670Z     del arg1_1
2022-11-23T01:32:30.2347759Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.2347764Z 
2022-11-23T01:32:30.2347769Z 
2022-11-23T01:32:30.2347852Z if __name__ == "__main__":
2022-11-23T01:32:30.2347975Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2348104Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2348295Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2348495Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2348616Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2348622Z 
2022-11-23T01:32:30.2348693Z ok (1.583s)
2022-11-23T01:32:30.2348993Z   test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2349309Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2349527Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2349781Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2350058Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2350445Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2350810Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2351128Z [2022-11-23 01:26:23,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2351499Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638> 
2022-11-23T01:32:30.2351606Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2351707Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:30.2351804Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2351902Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2352002Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2352093Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:30.2352191Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2352288Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2352368Z               16 BINARY_ADD
2022-11-23T01:32:30.2352463Z               18 CALL_METHOD              1
2022-11-23T01:32:30.2352561Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2352648Z               22 BINARY_SUBTRACT
2022-11-23T01:32:30.2352735Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.2352818Z               26 RETURN_VALUE
2022-11-23T01:32:30.2352916Z  
2022-11-23T01:32:30.2352922Z 
2022-11-23T01:32:30.2353234Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639
2022-11-23T01:32:30.2353529Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2353890Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2354205Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2354549Z [2022-11-23 01:26:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2354798Z [2022-11-23 01:26:23,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2355185Z [2022-11-23 01:26:23,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2355523Z [2022-11-23 01:26:23,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2355885Z [2022-11-23 01:26:23,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2356289Z [2022-11-23 01:26:23,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2356660Z [2022-11-23 01:26:23,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2356927Z [2022-11-23 01:26:23,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2357240Z [2022-11-23 01:26:23,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2357507Z [2022-11-23 01:26:23,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2357753Z [2022-11-23 01:26:23,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2358127Z [2022-11-23 01:26:23,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638>
2022-11-23T01:32:30.2358376Z [2022-11-23 01:26:23,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2358615Z [2022-11-23 01:26:23,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2358877Z [2022-11-23 01:26:23,182] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2359122Z [2022-11-23 01:26:23,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2359320Z [2022-11-23 01:26:23,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2359463Z  __compiled_fn_194 <eval_with_key>.1211 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2359563Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2359793Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2360001Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2360228Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.2360409Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T01:32:30.2360539Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T01:32:30.2360544Z 
2022-11-23T01:32:30.2360872Z [2022-11-23 01:26:23,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2360973Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2361071Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2361165Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2361266Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2361360Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2361458Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2361537Z              12 RETURN_VALUE
2022-11-23T01:32:30.2361542Z 
2022-11-23T01:32:30.2361608Z  
2022-11-23T01:32:30.2361938Z [2022-11-23 01:26:23,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2362062Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_194)
2022-11-23T01:32:30.2362161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2362262Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2362346Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2362435Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2362547Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2362661Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2362757Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2362840Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2362949Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2363047Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2363122Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2363216Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2363303Z              26 RETURN_VALUE
2022-11-23T01:32:30.2363308Z 
2022-11-23T01:32:30.2363375Z  
2022-11-23T01:32:30.2363567Z [2022-11-23 01:26:23,187] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2363643Z  - 
2022-11-23T01:32:30.2363769Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2363832Z             {
2022-11-23T01:32:30.2363980Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2364171Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2364297Z                 'obj_weakref': None
2022-11-23T01:32:30.2364525Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2364596Z             }
2022-11-23T01:32:30.2364670Z             
2022-11-23T01:32:30.2364749Z  - 
2022-11-23T01:32:30.2364873Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2364943Z             {
2022-11-23T01:32:30.2365091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2365209Z                 'code': None,
2022-11-23T01:32:30.2365419Z                 'obj_weakref': <weakref at 0x7f20681c5080; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2365671Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2365742Z             }
2022-11-23T01:32:30.2365805Z             
2022-11-23T01:32:30.2365881Z  - 
2022-11-23T01:32:30.2366017Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2366087Z             {
2022-11-23T01:32:30.2366229Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2366405Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2366558Z                 'obj_weakref': None
2022-11-23T01:32:30.2366785Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2366855Z             }
2022-11-23T01:32:30.2366952Z             
2022-11-23T01:32:30.2367029Z  - 
2022-11-23T01:32:30.2367156Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2367226Z             {
2022-11-23T01:32:30.2367362Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2367582Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2367706Z                 'obj_weakref': None
2022-11-23T01:32:30.2367934Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2368004Z             }
2022-11-23T01:32:30.2368073Z             
2022-11-23T01:32:30.2368149Z  - 
2022-11-23T01:32:30.2368281Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2368350Z             {
2022-11-23T01:32:30.2368479Z                 'guard_types': None,
2022-11-23T01:32:30.2368592Z                 'code': None,
2022-11-23T01:32:30.2368717Z                 'obj_weakref': None
2022-11-23T01:32:30.2368844Z                 'guarded_class': None
2022-11-23T01:32:30.2368916Z             }
2022-11-23T01:32:30.2368978Z             
2022-11-23T01:32:30.2369243Z [2022-11-23 01:26:23,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187
2022-11-23T01:32:30.2369605Z [2022-11-23 01:26:24,734] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphj2gyn6zho23itn7gbxhftvk7hx45gxsix64pw5nts6tell3cz.py
2022-11-23T01:32:30.2369871Z [2022-11-23 01:26:24,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187
2022-11-23T01:32:30.2369877Z 
2022-11-23T01:32:30.2369978Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2370052Z import torch
2022-11-23T01:32:30.2370128Z import random
2022-11-23T01:32:30.2370254Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2370374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2370387Z 
2022-11-23T01:32:30.2370464Z aten = torch.ops.aten
2022-11-23T01:32:30.2370611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2370713Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2370719Z 
2022-11-23T01:32:30.2370794Z import triton
2022-11-23T01:32:30.2370893Z import triton.language as tl
2022-11-23T01:32:30.2371021Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2371165Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2371170Z 
2022-11-23T01:32:30.2371175Z 
2022-11-23T01:32:30.2371306Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2371518Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2371644Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2371756Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2371861Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2371929Z {
2022-11-23T01:32:30.2372033Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2372105Z     {
2022-11-23T01:32:30.2372182Z         #pragma omp for 
2022-11-23T01:32:30.2372272Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2372341Z         {
2022-11-23T01:32:30.2372485Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2372578Z             auto tmp1 = tmp0.sqrt();
2022-11-23T01:32:30.2372686Z             auto tmp2 = tmp1.reciprocal();
2022-11-23T01:32:30.2372829Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2372914Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:30.2373002Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:32:30.2373103Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:30.2373275Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.2373405Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:30.2373504Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2373623Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2373686Z         }
2022-11-23T01:32:30.2373789Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2373883Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2373952Z         {
2022-11-23T01:32:30.2374041Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2374140Z             auto tmp1 = std::sqrt(tmp0);
2022-11-23T01:32:30.2374227Z             auto tmp2 = 1 / tmp1;
2022-11-23T01:32:30.2374326Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.2374415Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:30.2374512Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:30.2374600Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:30.2374707Z             auto tmp7 = static_cast<float>(2);
2022-11-23T01:32:30.2374839Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:30.2374929Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.2375008Z             out_ptr1[i0] = tmp8;
2022-11-23T01:32:30.2375081Z         }
2022-11-23T01:32:30.2375149Z     }
2022-11-23T01:32:30.2375216Z }
2022-11-23T01:32:30.2375301Z ''')
2022-11-23T01:32:30.2375307Z 
2022-11-23T01:32:30.2375311Z 
2022-11-23T01:32:30.2375406Z async_compile.wait(globals())
2022-11-23T01:32:30.2375484Z del async_compile
2022-11-23T01:32:30.2375489Z 
2022-11-23T01:32:30.2375558Z def call(args):
2022-11-23T01:32:30.2375634Z     arg0_1, = args
2022-11-23T01:32:30.2375711Z     args.clear()
2022-11-23T01:32:30.2375906Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2376099Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2376273Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2376350Z     del arg0_1
2022-11-23T01:32:30.2376426Z     return (buf0, buf1, )
2022-11-23T01:32:30.2376439Z 
2022-11-23T01:32:30.2376443Z 
2022-11-23T01:32:30.2376518Z if __name__ == "__main__":
2022-11-23T01:32:30.2376643Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2376772Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2376968Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2377083Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2377088Z 
2022-11-23T01:32:30.2377164Z ok (1.562s)
2022-11-23T01:32:30.2377466Z   test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:24,740] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2377782Z [2022-11-23 01:26:24,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2377998Z [2022-11-23 01:26:24,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2378257Z [2022-11-23 01:26:24,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2378535Z [2022-11-23 01:26:24,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2379036Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2379382Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2379699Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2380117Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669> 
2022-11-23T01:32:30.2380222Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2380359Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:30.2380463Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2380556Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2380657Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2380753Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2380849Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2380931Z               14 RETURN_VALUE
2022-11-23T01:32:30.2380997Z  
2022-11-23T01:32:30.2381002Z 
2022-11-23T01:32:30.2381313Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670
2022-11-23T01:32:30.2381529Z [2022-11-23 01:26:24,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2381837Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2382096Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:30.2382378Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:30.2382699Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2383039Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2383413Z [2022-11-23 01:26:24,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2383663Z [2022-11-23 01:26:24,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2384038Z [2022-11-23 01:26:24,748] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669>
2022-11-23T01:32:30.2384284Z [2022-11-23 01:26:24,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2384523Z [2022-11-23 01:26:24,748] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2384770Z [2022-11-23 01:26:24,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2385025Z [2022-11-23 01:26:24,752] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2385219Z [2022-11-23 01:26:24,752] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2385362Z  __compiled_fn_195 <eval_with_key>.1217 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2385461Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2385555Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2385645Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2385836Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T01:32:30.2385936Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:30.2385941Z 
2022-11-23T01:32:30.2386268Z [2022-11-23 01:26:24,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2386369Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2386466Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2386602Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2386704Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2386797Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2386892Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2386991Z              12 RETURN_VALUE
2022-11-23T01:32:30.2386996Z 
2022-11-23T01:32:30.2387065Z  
2022-11-23T01:32:30.2387393Z [2022-11-23 01:26:24,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2387513Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_195)
2022-11-23T01:32:30.2387610Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2387708Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2387792Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2387881Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2387975Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2388060Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2388154Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2388253Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2388339Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2388435Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2388525Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2388609Z              24 RETURN_VALUE
2022-11-23T01:32:30.2388614Z 
2022-11-23T01:32:30.2388681Z  
2022-11-23T01:32:30.2388871Z [2022-11-23 01:26:24,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2388950Z  - 
2022-11-23T01:32:30.2389076Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2389146Z             {
2022-11-23T01:32:30.2389287Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2389479Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2389604Z                 'obj_weakref': None
2022-11-23T01:32:30.2389837Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2389909Z             }
2022-11-23T01:32:30.2389981Z             
2022-11-23T01:32:30.2390061Z  - 
2022-11-23T01:32:30.2390190Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2390321Z             {
2022-11-23T01:32:30.2390492Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2390623Z                 'code': None,
2022-11-23T01:32:30.2390837Z                 'obj_weakref': <weakref at 0x7f2023097ab0; to 'Tensor' at 0x7f2068123a10>
2022-11-23T01:32:30.2391088Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2391160Z             }
2022-11-23T01:32:30.2391230Z             
2022-11-23T01:32:30.2391299Z  - 
2022-11-23T01:32:30.2391436Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2391505Z             {
2022-11-23T01:32:30.2391658Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2391853Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == -1'],
2022-11-23T01:32:30.2391980Z                 'obj_weakref': None
2022-11-23T01:32:30.2392203Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2392266Z             }
2022-11-23T01:32:30.2392334Z             
2022-11-23T01:32:30.2392411Z  - 
2022-11-23T01:32:30.2392545Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2392614Z             {
2022-11-23T01:32:30.2392761Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2392867Z                 'code': None,
2022-11-23T01:32:30.2393077Z                 'obj_weakref': <weakref at 0x7f20232bc4f0; to 'Tensor' at 0x7f20726e6b10>
2022-11-23T01:32:30.2393324Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2393396Z             }
2022-11-23T01:32:30.2393500Z             
2022-11-23T01:32:30.2393577Z  - 
2022-11-23T01:32:30.2393707Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2393777Z             {
2022-11-23T01:32:30.2393915Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2394057Z                 'code': None,
2022-11-23T01:32:30.2394265Z                 'obj_weakref': <weakref at 0x7f20232bd620; to 'Tensor' at 0x7f20726e5c10>
2022-11-23T01:32:30.2394512Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2394582Z             }
2022-11-23T01:32:30.2394655Z             
2022-11-23T01:32:30.2394731Z  - 
2022-11-23T01:32:30.2394860Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2394930Z             {
2022-11-23T01:32:30.2395069Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2395244Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2395367Z                 'obj_weakref': None
2022-11-23T01:32:30.2395598Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2395666Z             }
2022-11-23T01:32:30.2395731Z             
2022-11-23T01:32:30.2395809Z  - 
2022-11-23T01:32:30.2395937Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2396006Z             {
2022-11-23T01:32:30.2396147Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2396372Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2396497Z                 'obj_weakref': None
2022-11-23T01:32:30.2396716Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2396785Z             }
2022-11-23T01:32:30.2396854Z             
2022-11-23T01:32:30.2396931Z  - 
2022-11-23T01:32:30.2397067Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2397136Z             {
2022-11-23T01:32:30.2397257Z                 'guard_types': None,
2022-11-23T01:32:30.2397370Z                 'code': None,
2022-11-23T01:32:30.2397495Z                 'obj_weakref': None
2022-11-23T01:32:30.2397623Z                 'guarded_class': None
2022-11-23T01:32:30.2397696Z             }
2022-11-23T01:32:30.2397764Z             
2022-11-23T01:32:30.2398029Z [2022-11-23 01:26:24,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188
2022-11-23T01:32:30.2398401Z [2022-11-23 01:26:26,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ho/cho4vomcnhsysuvipdc2xvthtab7vq7ahwcbbo6tgpbkadrqzgd7.py
2022-11-23T01:32:30.2398664Z [2022-11-23 01:26:26,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188
2022-11-23T01:32:30.2398670Z 
2022-11-23T01:32:30.2398769Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2398844Z import torch
2022-11-23T01:32:30.2398922Z import random
2022-11-23T01:32:30.2399046Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2399172Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2399177Z 
2022-11-23T01:32:30.2399261Z aten = torch.ops.aten
2022-11-23T01:32:30.2399400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2399496Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2399502Z 
2022-11-23T01:32:30.2399578Z import triton
2022-11-23T01:32:30.2399672Z import triton.language as tl
2022-11-23T01:32:30.2399800Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2399949Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2399955Z 
2022-11-23T01:32:30.2399960Z 
2022-11-23T01:32:30.2400098Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2400310Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2400438Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2400573Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2400687Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2400796Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2400891Z {
2022-11-23T01:32:30.2400973Z     #pragma GCC ivdep
2022-11-23T01:32:30.2401063Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.2401129Z     {
2022-11-23T01:32:30.2401191Z         {
2022-11-23T01:32:30.2401261Z             {
2022-11-23T01:32:30.2401355Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2401444Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2401514Z             }
2022-11-23T01:32:30.2401582Z         }
2022-11-23T01:32:30.2401642Z     }
2022-11-23T01:32:30.2401708Z     {
2022-11-23T01:32:30.2401776Z         {
2022-11-23T01:32:30.2401868Z             auto tmp0 = in_ptr1[0];
2022-11-23T01:32:30.2401958Z             auto tmp1 = in_ptr2[0];
2022-11-23T01:32:30.2402049Z             out_ptr0[tmp0] = tmp1;
2022-11-23T01:32:30.2402117Z         }
2022-11-23T01:32:30.2402181Z     }
2022-11-23T01:32:30.2402246Z }
2022-11-23T01:32:30.2402336Z ''')
2022-11-23T01:32:30.2402341Z 
2022-11-23T01:32:30.2402346Z 
2022-11-23T01:32:30.2402441Z async_compile.wait(globals())
2022-11-23T01:32:30.2402523Z del async_compile
2022-11-23T01:32:30.2402528Z 
2022-11-23T01:32:30.2402605Z def call(args):
2022-11-23T01:32:30.2402693Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2402762Z     args.clear()
2022-11-23T01:32:30.2402963Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2403157Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2403234Z     del arg0_1
2022-11-23T01:32:30.2403307Z     del arg1_1
2022-11-23T01:32:30.2403380Z     del arg2_1
2022-11-23T01:32:30.2403458Z     return (buf0, )
2022-11-23T01:32:30.2403463Z 
2022-11-23T01:32:30.2403468Z 
2022-11-23T01:32:30.2403550Z if __name__ == "__main__":
2022-11-23T01:32:30.2403665Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2403794Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2403996Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2404194Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2404385Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2404516Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2404521Z 
2022-11-23T01:32:30.2404594Z ok (1.549s)
2022-11-23T01:32:30.2404895Z   test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2405202Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2405429Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2405688Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2405966Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2406281Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2406620Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2406935Z [2022-11-23 01:26:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2407341Z [2022-11-23 01:26:26,290] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686> 
2022-11-23T01:32:30.2407445Z  3687           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2407573Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:30.2407668Z                4 LOAD_ATTR                2 (reduce)
2022-11-23T01:32:30.2407765Z                6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2407864Z                8 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2407962Z               10 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2408059Z               12 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2408203Z               14 LOAD_CONST               1 ('add')
2022-11-23T01:32:30.2408356Z               16 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:30.2408448Z               18 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.2408532Z               20 RETURN_VALUE
2022-11-23T01:32:30.2408601Z  
2022-11-23T01:32:30.2408606Z 
2022-11-23T01:32:30.2408916Z [2022-11-23 01:26:26,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3687
2022-11-23T01:32:30.2409143Z [2022-11-23 01:26:26,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2409450Z [2022-11-23 01:26:26,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2409712Z [2022-11-23 01:26:26,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)]
2022-11-23T01:32:30.2409979Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)]
2022-11-23T01:32:30.2410281Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()]
2022-11-23T01:32:30.2410618Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2410978Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2411376Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2411814Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:30.2412282Z [2022-11-23 01:26:26,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.2412531Z [2022-11-23 01:26:26,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2412903Z [2022-11-23 01:26:26,297] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686>
2022-11-23T01:32:30.2413149Z [2022-11-23 01:26:26,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2413381Z [2022-11-23 01:26:26,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2413635Z [2022-11-23 01:26:26,298] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2413908Z [2022-11-23 01:26:26,301] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2414106Z [2022-11-23 01:26:26,301] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2414241Z  __compiled_fn_196 <eval_with_key>.1223 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2414358Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2414452Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2414543Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2414779Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'}
2022-11-23T01:32:30.2414896Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:30.2414902Z 
2022-11-23T01:32:30.2415224Z [2022-11-23 01:26:26,301] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2415325Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2415415Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2415511Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2415612Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2415709Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2415807Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2415890Z              12 RETURN_VALUE
2022-11-23T01:32:30.2415896Z 
2022-11-23T01:32:30.2415961Z  
2022-11-23T01:32:30.2416278Z [2022-11-23 01:26:26,301] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2416396Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_196)
2022-11-23T01:32:30.2416494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2416591Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2416677Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2416773Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2416869Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2416947Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2417042Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2417136Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2417220Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2417315Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2417413Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2417495Z              24 RETURN_VALUE
2022-11-23T01:32:30.2417500Z 
2022-11-23T01:32:30.2417567Z  
2022-11-23T01:32:30.2417748Z [2022-11-23 01:26:26,302] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2417826Z  - 
2022-11-23T01:32:30.2417950Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2418021Z             {
2022-11-23T01:32:30.2418168Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2418359Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2418481Z                 'obj_weakref': None
2022-11-23T01:32:30.2418702Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2418773Z             }
2022-11-23T01:32:30.2419029Z             
2022-11-23T01:32:30.2419110Z  - 
2022-11-23T01:32:30.2419239Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2419310Z             {
2022-11-23T01:32:30.2419450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2419563Z                 'code': None,
2022-11-23T01:32:30.2419773Z                 'obj_weakref': <weakref at 0x7f2151eee070; to 'Tensor' at 0x7f2022f30860>
2022-11-23T01:32:30.2420023Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2420092Z             }
2022-11-23T01:32:30.2420163Z             
2022-11-23T01:32:30.2420239Z  - 
2022-11-23T01:32:30.2420373Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2420436Z             {
2022-11-23T01:32:30.2420631Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2420824Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:30.2420949Z                 'obj_weakref': None
2022-11-23T01:32:30.2421198Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2421267Z             }
2022-11-23T01:32:30.2421341Z             
2022-11-23T01:32:30.2421411Z  - 
2022-11-23T01:32:30.2421538Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2421609Z             {
2022-11-23T01:32:30.2421752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2421865Z                 'code': None,
2022-11-23T01:32:30.2422072Z                 'obj_weakref': <weakref at 0x7f207274e0c0; to 'Tensor' at 0x7f2115dc7330>
2022-11-23T01:32:30.2422315Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2422379Z             }
2022-11-23T01:32:30.2422451Z             
2022-11-23T01:32:30.2422529Z  - 
2022-11-23T01:32:30.2422657Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2422724Z             {
2022-11-23T01:32:30.2422870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2422987Z                 'code': None,
2022-11-23T01:32:30.2423187Z                 'obj_weakref': <weakref at 0x7f2115a78f40; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2423426Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2423497Z             }
2022-11-23T01:32:30.2423565Z             
2022-11-23T01:32:30.2423643Z  - 
2022-11-23T01:32:30.2423777Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2423846Z             {
2022-11-23T01:32:30.2423978Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2424151Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2424278Z                 'obj_weakref': None
2022-11-23T01:32:30.2424506Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2424577Z             }
2022-11-23T01:32:30.2424649Z             
2022-11-23T01:32:30.2424726Z  - 
2022-11-23T01:32:30.2424845Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2424914Z             {
2022-11-23T01:32:30.2425054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2425274Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2425402Z                 'obj_weakref': None
2022-11-23T01:32:30.2425630Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2425700Z             }
2022-11-23T01:32:30.2425762Z             
2022-11-23T01:32:30.2425837Z  - 
2022-11-23T01:32:30.2425976Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2426047Z             {
2022-11-23T01:32:30.2426174Z                 'guard_types': None,
2022-11-23T01:32:30.2426290Z                 'code': None,
2022-11-23T01:32:30.2426407Z                 'obj_weakref': None
2022-11-23T01:32:30.2426534Z                 'guarded_class': None
2022-11-23T01:32:30.2426607Z             }
2022-11-23T01:32:30.2426675Z             
2022-11-23T01:32:30.2426940Z [2022-11-23 01:26:26,306] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189
2022-11-23T01:32:30.2427305Z [2022-11-23 01:26:27,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctjnzqsmiswl7mvav7dwge667jt6ct4jy3rs5vlhs3t4fuotyxou.py
2022-11-23T01:32:30.2427573Z [2022-11-23 01:26:27,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189
2022-11-23T01:32:30.2427579Z 
2022-11-23T01:32:30.2427680Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2427749Z import torch
2022-11-23T01:32:30.2427823Z import random
2022-11-23T01:32:30.2427980Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2428109Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2428115Z 
2022-11-23T01:32:30.2428199Z aten = torch.ops.aten
2022-11-23T01:32:30.2428360Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2428459Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2428464Z 
2022-11-23T01:32:30.2428540Z import triton
2022-11-23T01:32:30.2428627Z import triton.language as tl
2022-11-23T01:32:30.2428756Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2428901Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2428906Z 
2022-11-23T01:32:30.2428911Z 
2022-11-23T01:32:30.2429052Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2429262Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2429389Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2429506Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2429622Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2429722Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2429791Z {
2022-11-23T01:32:30.2429896Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2429963Z     {
2022-11-23T01:32:30.2430047Z         #pragma omp for 
2022-11-23T01:32:30.2430136Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:30.2430205Z         {
2022-11-23T01:32:30.2430421Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2430536Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2430619Z         }
2022-11-23T01:32:30.2430736Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2430832Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:30.2430900Z         {
2022-11-23T01:32:30.2430990Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2431073Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2431142Z         }
2022-11-23T01:32:30.2431225Z         #pragma omp for 
2022-11-23T01:32:30.2431311Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.2431379Z         {
2022-11-23T01:32:30.2431468Z             #pragma GCC ivdep
2022-11-23T01:32:30.2431553Z             for(long i1=0; i1<512; i1+=1)
2022-11-23T01:32:30.2431622Z             {
2022-11-23T01:32:30.2431693Z                 {
2022-11-23T01:32:30.2431769Z                     {
2022-11-23T01:32:30.2431881Z                         auto tmp0 = in_ptr1[i1 + (512*i0)];
2022-11-23T01:32:30.2431995Z                         auto tmp1 = in_ptr2[i1 + (512*i0)];
2022-11-23T01:32:30.2432116Z                         atomic_add(&out_ptr0[i1 + (512*tmp0)], tmp1);
2022-11-23T01:32:30.2432183Z                     }
2022-11-23T01:32:30.2432254Z                 }
2022-11-23T01:32:30.2432322Z             }
2022-11-23T01:32:30.2432393Z         }
2022-11-23T01:32:30.2432463Z     }
2022-11-23T01:32:30.2432530Z }
2022-11-23T01:32:30.2432622Z ''')
2022-11-23T01:32:30.2432627Z 
2022-11-23T01:32:30.2432632Z 
2022-11-23T01:32:30.2432720Z async_compile.wait(globals())
2022-11-23T01:32:30.2432798Z del async_compile
2022-11-23T01:32:30.2432804Z 
2022-11-23T01:32:30.2432883Z def call(args):
2022-11-23T01:32:30.2432972Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2433052Z     args.clear()
2022-11-23T01:32:30.2433258Z     buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2433454Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2433528Z     del arg0_1
2022-11-23T01:32:30.2433594Z     del arg1_1
2022-11-23T01:32:30.2433667Z     del arg2_1
2022-11-23T01:32:30.2433743Z     return (buf0, )
2022-11-23T01:32:30.2433749Z 
2022-11-23T01:32:30.2433753Z 
2022-11-23T01:32:30.2433835Z if __name__ == "__main__":
2022-11-23T01:32:30.2433956Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2434131Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2434339Z     arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2434557Z     arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2434761Z     arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2434889Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2434895Z 
2022-11-23T01:32:30.2434966Z ok (1.579s)
2022-11-23T01:32:30.2435271Z   test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:27,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2435584Z [2022-11-23 01:26:27,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2435806Z [2022-11-23 01:26:27,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2436059Z [2022-11-23 01:26:27,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2436334Z [2022-11-23 01:26:27,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2436645Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2436982Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2437300Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2437667Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700> 
2022-11-23T01:32:30.2437770Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2437873Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:30.2437974Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2438072Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2438170Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2438258Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2438402Z               12 LOAD_CONST               1 ('add')
2022-11-23T01:32:30.2438555Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:30.2438654Z               16 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.2438736Z               18 RETURN_VALUE
2022-11-23T01:32:30.2438802Z  
2022-11-23T01:32:30.2438807Z 
2022-11-23T01:32:30.2439121Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701
2022-11-23T01:32:30.2439341Z [2022-11-23 01:26:27,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2439642Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2439900Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:30.2440182Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:30.2440504Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2440875Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2441258Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.2441712Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:30.2442173Z [2022-11-23 01:26:27,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.2442422Z [2022-11-23 01:26:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2442795Z [2022-11-23 01:26:27,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700>
2022-11-23T01:32:30.2443041Z [2022-11-23 01:26:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2443279Z [2022-11-23 01:26:27,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2443527Z [2022-11-23 01:26:27,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2443778Z [2022-11-23 01:26:27,880] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2443971Z [2022-11-23 01:26:27,880] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2444115Z  __compiled_fn_197 <eval_with_key>.1229 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2444211Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2444306Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2444512Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T01:32:30.2444618Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:30.2444627Z 
2022-11-23T01:32:30.2444945Z [2022-11-23 01:26:27,880] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2445047Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2445144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2445237Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2445336Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2445429Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2445524Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2445606Z              12 RETURN_VALUE
2022-11-23T01:32:30.2445611Z 
2022-11-23T01:32:30.2445671Z  
2022-11-23T01:32:30.2445997Z [2022-11-23 01:26:27,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2446114Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_197)
2022-11-23T01:32:30.2446214Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2446312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2446394Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2446491Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2446578Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2446660Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2446757Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2446853Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2446934Z              18 RETURN_VALUE
2022-11-23T01:32:30.2446940Z 
2022-11-23T01:32:30.2447005Z  
2022-11-23T01:32:30.2447193Z [2022-11-23 01:26:27,881] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2447301Z  - 
2022-11-23T01:32:30.2447418Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2447487Z             {
2022-11-23T01:32:30.2447631Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2447849Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2447972Z                 'obj_weakref': None
2022-11-23T01:32:30.2448197Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2448267Z             }
2022-11-23T01:32:30.2448329Z             
2022-11-23T01:32:30.2448404Z  - 
2022-11-23T01:32:30.2448533Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2448603Z             {
2022-11-23T01:32:30.2448749Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2448864Z                 'code': None,
2022-11-23T01:32:30.2449068Z                 'obj_weakref': <weakref at 0x7f2151eee0c0; to 'Tensor' at 0x7f20233577e0>
2022-11-23T01:32:30.2449322Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2449393Z             }
2022-11-23T01:32:30.2449460Z             
2022-11-23T01:32:30.2449540Z  - 
2022-11-23T01:32:30.2449672Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2449743Z             {
2022-11-23T01:32:30.2449880Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2450067Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:30.2450190Z                 'obj_weakref': None
2022-11-23T01:32:30.2450408Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2450477Z             }
2022-11-23T01:32:30.2450545Z             
2022-11-23T01:32:30.2450620Z  - 
2022-11-23T01:32:30.2450740Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2450809Z             {
2022-11-23T01:32:30.2450958Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2451068Z                 'code': None,
2022-11-23T01:32:30.2451274Z                 'obj_weakref': <weakref at 0x7f21276a49a0; to 'Tensor' at 0x7f2068123a10>
2022-11-23T01:32:30.2451523Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2451598Z             }
2022-11-23T01:32:30.2451668Z             
2022-11-23T01:32:30.2451736Z  - 
2022-11-23T01:32:30.2451869Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:30.2451938Z             {
2022-11-23T01:32:30.2452086Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2452275Z                 'code': ['___check_type_id(ex[3], 94768292484128)', 'ex[3] == 0.8'],
2022-11-23T01:32:30.2452398Z                 'obj_weakref': None
2022-11-23T01:32:30.2452615Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:30.2452678Z             }
2022-11-23T01:32:30.2452751Z             
2022-11-23T01:32:30.2452826Z  - 
2022-11-23T01:32:30.2452959Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2453028Z             {
2022-11-23T01:32:30.2453165Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2453334Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2453461Z                 'obj_weakref': None
2022-11-23T01:32:30.2453689Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2453760Z             }
2022-11-23T01:32:30.2453830Z             
2022-11-23T01:32:30.2453908Z  - 
2022-11-23T01:32:30.2454033Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2454095Z             {
2022-11-23T01:32:30.2454234Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2454451Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2454573Z                 'obj_weakref': None
2022-11-23T01:32:30.2454821Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2454892Z             }
2022-11-23T01:32:30.2454962Z             
2022-11-23T01:32:30.2455052Z  - 
2022-11-23T01:32:30.2455187Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2455259Z             {
2022-11-23T01:32:30.2455383Z                 'guard_types': None,
2022-11-23T01:32:30.2455494Z                 'code': None,
2022-11-23T01:32:30.2455616Z                 'obj_weakref': None
2022-11-23T01:32:30.2455742Z                 'guarded_class': None
2022-11-23T01:32:30.2455803Z             }
2022-11-23T01:32:30.2455871Z             
2022-11-23T01:32:30.2456134Z [2022-11-23 01:26:27,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190
2022-11-23T01:32:30.2456493Z [2022-11-23 01:26:29,440] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ju/cju7bxk7svxwi6sttbwurxlkozgdoo7xfl4755uwmd5ujypdpi6e.py
2022-11-23T01:32:30.2456759Z [2022-11-23 01:26:29,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190
2022-11-23T01:32:30.2456766Z 
2022-11-23T01:32:30.2456865Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2456945Z import torch
2022-11-23T01:32:30.2457021Z import random
2022-11-23T01:32:30.2457136Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2457263Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2457268Z 
2022-11-23T01:32:30.2457350Z aten = torch.ops.aten
2022-11-23T01:32:30.2457492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2457589Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2457594Z 
2022-11-23T01:32:30.2457669Z import triton
2022-11-23T01:32:30.2457764Z import triton.language as tl
2022-11-23T01:32:30.2457890Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2458027Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2458035Z 
2022-11-23T01:32:30.2458040Z 
2022-11-23T01:32:30.2458177Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2458386Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2465048Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2465189Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2465296Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2465364Z {
2022-11-23T01:32:30.2465472Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2465533Z     {
2022-11-23T01:32:30.2465616Z         #pragma omp for 
2022-11-23T01:32:30.2465704Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:32:30.2465773Z         {
2022-11-23T01:32:30.2465921Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2466021Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2466083Z         }
2022-11-23T01:32:30.2466192Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2466284Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:32:30.2466352Z         {
2022-11-23T01:32:30.2466443Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2466533Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2466600Z         }
2022-11-23T01:32:30.2466679Z         #pragma omp single
2022-11-23T01:32:30.2466747Z         {
2022-11-23T01:32:30.2466831Z             #pragma GCC ivdep
2022-11-23T01:32:30.2466922Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.2466992Z             {
2022-11-23T01:32:30.2467063Z                 {
2022-11-23T01:32:30.2467137Z                     {
2022-11-23T01:32:30.2467231Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.2467348Z                         auto tmp1 = static_cast<float>(0.8);
2022-11-23T01:32:30.2467463Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:30.2467536Z                     }
2022-11-23T01:32:30.2467741Z                 }
2022-11-23T01:32:30.2467813Z             }
2022-11-23T01:32:30.2467881Z         }
2022-11-23T01:32:30.2467941Z     }
2022-11-23T01:32:30.2468009Z }
2022-11-23T01:32:30.2468140Z ''')
2022-11-23T01:32:30.2468146Z 
2022-11-23T01:32:30.2468151Z 
2022-11-23T01:32:30.2468247Z async_compile.wait(globals())
2022-11-23T01:32:30.2468326Z del async_compile
2022-11-23T01:32:30.2468331Z 
2022-11-23T01:32:30.2468405Z def call(args):
2022-11-23T01:32:30.2468487Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2468557Z     args.clear()
2022-11-23T01:32:30.2468770Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2468940Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2469013Z     del arg0_1
2022-11-23T01:32:30.2469087Z     del arg1_1
2022-11-23T01:32:30.2469164Z     return (buf0, )
2022-11-23T01:32:30.2469169Z 
2022-11-23T01:32:30.2469173Z 
2022-11-23T01:32:30.2469258Z if __name__ == "__main__":
2022-11-23T01:32:30.2469379Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2469502Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2469718Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2469919Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2470040Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2470045Z 
2022-11-23T01:32:30.2470116Z ok (1.576s)
2022-11-23T01:32:30.2470511Z   test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2470850Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2471074Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2471318Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2471594Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2471913Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2472251Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2472567Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2472937Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719> 
2022-11-23T01:32:30.2473041Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2473146Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:30.2473245Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2473345Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2473437Z                8 LOAD_FAST                1 (ind)
2022-11-23T01:32:30.2473534Z               10 LOAD_FAST                2 (src)
2022-11-23T01:32:30.2473629Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2473711Z               14 RETURN_VALUE
2022-11-23T01:32:30.2473778Z  
2022-11-23T01:32:30.2473783Z 
2022-11-23T01:32:30.2474094Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720
2022-11-23T01:32:30.2474356Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2474722Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2475058Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2475402Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2475778Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2476186Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2476622Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2476874Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2477243Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719>
2022-11-23T01:32:30.2477489Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2477724Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2477983Z [2022-11-23 01:26:29,450] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2478231Z [2022-11-23 01:26:29,452] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2478421Z [2022-11-23 01:26:29,453] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2478562Z  __compiled_fn_198 <eval_with_key>.1235 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2478658Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2478752Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2478843Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2479097Z call_function, scatter, <built-in method scatter of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T01:32:30.2479206Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:30.2479212Z 
2022-11-23T01:32:30.2479536Z [2022-11-23 01:26:29,453] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2479638Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2479729Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2479827Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2479929Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2480021Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2480118Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2480200Z              12 RETURN_VALUE
2022-11-23T01:32:30.2480205Z 
2022-11-23T01:32:30.2480273Z  
2022-11-23T01:32:30.2480588Z [2022-11-23 01:26:29,453] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2480707Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_198)
2022-11-23T01:32:30.2480803Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2480927Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2481015Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2481111Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2481230Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2481305Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2481400Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2481493Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2481574Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2481669Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2481765Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2481846Z              24 RETURN_VALUE
2022-11-23T01:32:30.2481851Z 
2022-11-23T01:32:30.2481917Z  
2022-11-23T01:32:30.2482098Z [2022-11-23 01:26:29,454] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2482176Z  - 
2022-11-23T01:32:30.2482301Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2482374Z             {
2022-11-23T01:32:30.2482519Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2482709Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.2482837Z                 'obj_weakref': None
2022-11-23T01:32:30.2483054Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2483124Z             }
2022-11-23T01:32:30.2483193Z             
2022-11-23T01:32:30.2483269Z  - 
2022-11-23T01:32:30.2483398Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2483468Z             {
2022-11-23T01:32:30.2483607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2483718Z                 'code': None,
2022-11-23T01:32:30.2483928Z                 'obj_weakref': <weakref at 0x7f207274ebb0; to 'Tensor' at 0x7f2151eec360>
2022-11-23T01:32:30.2484176Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2484249Z             }
2022-11-23T01:32:30.2484318Z             
2022-11-23T01:32:30.2484397Z  - 
2022-11-23T01:32:30.2484516Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2484588Z             {
2022-11-23T01:32:30.2484734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2484848Z                 'code': None,
2022-11-23T01:32:30.2485053Z                 'obj_weakref': <weakref at 0x7f207274fa60; to 'Tensor' at 0x7f2151eee110>
2022-11-23T01:32:30.2485294Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2485364Z             }
2022-11-23T01:32:30.2485434Z             
2022-11-23T01:32:30.2485503Z  - 
2022-11-23T01:32:30.2485631Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2485703Z             {
2022-11-23T01:32:30.2485849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2485958Z                 'code': None,
2022-11-23T01:32:30.2486162Z                 'obj_weakref': <weakref at 0x7f2022eb9030; to 'Tensor' at 0x7f2022f30860>
2022-11-23T01:32:30.2486398Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2486463Z             }
2022-11-23T01:32:30.2486535Z             
2022-11-23T01:32:30.2486611Z  - 
2022-11-23T01:32:30.2486746Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2486815Z             {
2022-11-23T01:32:30.2486954Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2487127Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2487244Z                 'obj_weakref': None
2022-11-23T01:32:30.2487473Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2487543Z             }
2022-11-23T01:32:30.2487611Z             
2022-11-23T01:32:30.2487687Z  - 
2022-11-23T01:32:30.2487813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2487920Z             {
2022-11-23T01:32:30.2488064Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2488281Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2488428Z                 'obj_weakref': None
2022-11-23T01:32:30.2488652Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2488720Z             }
2022-11-23T01:32:30.2488787Z             
2022-11-23T01:32:30.2488861Z  - 
2022-11-23T01:32:30.2488991Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2489063Z             {
2022-11-23T01:32:30.2489187Z                 'guard_types': None,
2022-11-23T01:32:30.2489299Z                 'code': None,
2022-11-23T01:32:30.2489419Z                 'obj_weakref': None
2022-11-23T01:32:30.2489546Z                 'guarded_class': None
2022-11-23T01:32:30.2489608Z             }
2022-11-23T01:32:30.2489676Z             
2022-11-23T01:32:30.2489940Z [2022-11-23 01:26:29,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191
2022-11-23T01:32:30.2490299Z [2022-11-23 01:26:31,022] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jb/cjbni6t5ry5vvtowcx5mzqiibpt3j4fy2ly5y7usyv74363h73lu.py
2022-11-23T01:32:30.2490568Z [2022-11-23 01:26:31,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191
2022-11-23T01:32:30.2490574Z 
2022-11-23T01:32:30.2490675Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2490749Z import torch
2022-11-23T01:32:30.2490824Z import random
2022-11-23T01:32:30.2490939Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2491068Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2491073Z 
2022-11-23T01:32:30.2491156Z aten = torch.ops.aten
2022-11-23T01:32:30.2491296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2491394Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2491401Z 
2022-11-23T01:32:30.2491476Z import triton
2022-11-23T01:32:30.2491569Z import triton.language as tl
2022-11-23T01:32:30.2491695Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2491833Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2491839Z 
2022-11-23T01:32:30.2491850Z 
2022-11-23T01:32:30.2491979Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2492216Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2492364Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2492477Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2492588Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2492694Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2492760Z {
2022-11-23T01:32:30.2492856Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2492926Z     {
2022-11-23T01:32:30.2493009Z         #pragma omp for 
2022-11-23T01:32:30.2493099Z         for(long i0=0; i0<24304; i0+=1)
2022-11-23T01:32:30.2493167Z         {
2022-11-23T01:32:30.2493310Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2493412Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2493474Z         }
2022-11-23T01:32:30.2493575Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2493672Z         for(long i0=194432; i0<194432; i0+=1)
2022-11-23T01:32:30.2493740Z         {
2022-11-23T01:32:30.2493831Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2493917Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2493978Z         }
2022-11-23T01:32:30.2494060Z         #pragma omp for 
2022-11-23T01:32:30.2494149Z         for(long i0=0; i0<992; i0+=1)
2022-11-23T01:32:30.2494216Z         {
2022-11-23T01:32:30.2494286Z             {
2022-11-23T01:32:30.2494356Z                 {
2022-11-23T01:32:30.2494485Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.2494577Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:30.2494680Z                     out_ptr0[i0 + (992*tmp0)] = tmp1;
2022-11-23T01:32:30.2494773Z                 }
2022-11-23T01:32:30.2494841Z             }
2022-11-23T01:32:30.2494908Z         }
2022-11-23T01:32:30.2494976Z     }
2022-11-23T01:32:30.2495041Z }
2022-11-23T01:32:30.2495121Z ''')
2022-11-23T01:32:30.2495126Z 
2022-11-23T01:32:30.2495130Z 
2022-11-23T01:32:30.2495225Z async_compile.wait(globals())
2022-11-23T01:32:30.2495305Z del async_compile
2022-11-23T01:32:30.2495310Z 
2022-11-23T01:32:30.2495386Z def call(args):
2022-11-23T01:32:30.2495474Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2495549Z     args.clear()
2022-11-23T01:32:30.2495755Z     buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2495946Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2496020Z     del arg0_1
2022-11-23T01:32:30.2496093Z     del arg1_1
2022-11-23T01:32:30.2496165Z     del arg2_1
2022-11-23T01:32:30.2496242Z     return (buf0, )
2022-11-23T01:32:30.2496250Z 
2022-11-23T01:32:30.2496255Z 
2022-11-23T01:32:30.2496336Z if __name__ == "__main__":
2022-11-23T01:32:30.2496456Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2496589Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2496786Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2496986Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2497187Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2497315Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2497321Z 
2022-11-23T01:32:30.2497395Z ok (1.584s)
2022-11-23T01:32:30.2497557Z   test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s)
2022-11-23T01:32:30.2497864Z   test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:31,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2498178Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2498400Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2498648Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2499148Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2499473Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2499817Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2500133Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2500495Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743> 
2022-11-23T01:32:30.2500597Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2500706Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:30.2500806Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2500896Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2501000Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2501145Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2501243Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2501324Z               14 RETURN_VALUE
2022-11-23T01:32:30.2501425Z  
2022-11-23T01:32:30.2501431Z 
2022-11-23T01:32:30.2501744Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744
2022-11-23T01:32:30.2501962Z [2022-11-23 01:26:31,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2502265Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2502522Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:30.2502811Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:30.2503138Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2503489Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2503866Z [2022-11-23 01:26:31,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2504116Z [2022-11-23 01:26:31,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2504490Z [2022-11-23 01:26:31,039] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743>
2022-11-23T01:32:30.2504741Z [2022-11-23 01:26:31,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2504977Z [2022-11-23 01:26:31,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2505235Z [2022-11-23 01:26:31,040] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2505476Z [2022-11-23 01:26:31,042] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2505669Z [2022-11-23 01:26:31,042] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2505813Z  __compiled_fn_199 <eval_with_key>.1241 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2505909Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2506001Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2506090Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2506235Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T01:32:30.2506348Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:30.2506353Z 
2022-11-23T01:32:30.2506666Z [2022-11-23 01:26:31,043] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2506774Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2506873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2506969Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2507068Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2507159Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2507253Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2507328Z              12 RETURN_VALUE
2022-11-23T01:32:30.2507341Z 
2022-11-23T01:32:30.2507400Z  
2022-11-23T01:32:30.2507754Z [2022-11-23 01:26:31,043] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2507872Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_199)
2022-11-23T01:32:30.2507967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2508089Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2508170Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2508264Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2508351Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2508434Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2508527Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2508619Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2508700Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2508793Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2508890Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2508964Z              24 RETURN_VALUE
2022-11-23T01:32:30.2508970Z 
2022-11-23T01:32:30.2509039Z  
2022-11-23T01:32:30.2509228Z [2022-11-23 01:26:31,044] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2509305Z  - 
2022-11-23T01:32:30.2509428Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2509501Z             {
2022-11-23T01:32:30.2509644Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2509825Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2509948Z                 'obj_weakref': None
2022-11-23T01:32:30.2510173Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2510307Z             }
2022-11-23T01:32:30.2510396Z             
2022-11-23T01:32:30.2510474Z  - 
2022-11-23T01:32:30.2510603Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2510665Z             {
2022-11-23T01:32:30.2510812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2510925Z                 'code': None,
2022-11-23T01:32:30.2511138Z                 'obj_weakref': <weakref at 0x7f202305ade0; to 'Tensor' at 0x7f2151eee110>
2022-11-23T01:32:30.2511388Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2511462Z             }
2022-11-23T01:32:30.2511530Z             
2022-11-23T01:32:30.2511599Z  - 
2022-11-23T01:32:30.2511731Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2511799Z             {
2022-11-23T01:32:30.2511943Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2512133Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:30.2512256Z                 'obj_weakref': None
2022-11-23T01:32:30.2512477Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2512539Z             }
2022-11-23T01:32:30.2512607Z             
2022-11-23T01:32:30.2512682Z  - 
2022-11-23T01:32:30.2512812Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2512882Z             {
2022-11-23T01:32:30.2513026Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2513136Z                 'code': None,
2022-11-23T01:32:30.2513338Z                 'obj_weakref': <weakref at 0x7f2115a78f40; to 'Tensor' at 0x7f2151eee1b0>
2022-11-23T01:32:30.2513585Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2513654Z             }
2022-11-23T01:32:30.2513722Z             
2022-11-23T01:32:30.2513797Z  - 
2022-11-23T01:32:30.2513921Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2513990Z             {
2022-11-23T01:32:30.2514126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2514237Z                 'code': None,
2022-11-23T01:32:30.2514441Z                 'obj_weakref': <weakref at 0x7f2115a79e90; to 'Tensor' at 0x7f2151eec360>
2022-11-23T01:32:30.2514713Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2514785Z             }
2022-11-23T01:32:30.2514854Z             
2022-11-23T01:32:30.2514931Z  - 
2022-11-23T01:32:30.2515079Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2515150Z             {
2022-11-23T01:32:30.2515290Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2515463Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2515585Z                 'obj_weakref': None
2022-11-23T01:32:30.2515812Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2515884Z             }
2022-11-23T01:32:30.2515945Z             
2022-11-23T01:32:30.2516020Z  - 
2022-11-23T01:32:30.2516145Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2516213Z             {
2022-11-23T01:32:30.2516354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2516579Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2516702Z                 'obj_weakref': None
2022-11-23T01:32:30.2516916Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2516989Z             }
2022-11-23T01:32:30.2517059Z             
2022-11-23T01:32:30.2517134Z  - 
2022-11-23T01:32:30.2517270Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2517338Z             {
2022-11-23T01:32:30.2517462Z                 'guard_types': None,
2022-11-23T01:32:30.2517565Z                 'code': None,
2022-11-23T01:32:30.2517686Z                 'obj_weakref': None
2022-11-23T01:32:30.2517811Z                 'guarded_class': None
2022-11-23T01:32:30.2517880Z             }
2022-11-23T01:32:30.2517947Z             
2022-11-23T01:32:30.2518209Z [2022-11-23 01:26:31,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192
2022-11-23T01:32:30.2518574Z [2022-11-23 01:26:32,603] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hb/chbofwmfzvkuxttmibimvra65s4dxxqzbxly7rvkbyt32nm27jbg.py
2022-11-23T01:32:30.2518842Z [2022-11-23 01:26:32,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192
2022-11-23T01:32:30.2518853Z 
2022-11-23T01:32:30.2518945Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2519021Z import torch
2022-11-23T01:32:30.2519096Z import random
2022-11-23T01:32:30.2519217Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2519343Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2519348Z 
2022-11-23T01:32:30.2519431Z aten = torch.ops.aten
2022-11-23T01:32:30.2519570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2519661Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2519674Z 
2022-11-23T01:32:30.2519742Z import triton
2022-11-23T01:32:30.2519835Z import triton.language as tl
2022-11-23T01:32:30.2519967Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2520110Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2520116Z 
2022-11-23T01:32:30.2520120Z 
2022-11-23T01:32:30.2520261Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2520470Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2520595Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2520700Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2520809Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2520915Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2520981Z {
2022-11-23T01:32:30.2521062Z     #pragma GCC ivdep
2022-11-23T01:32:30.2521148Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.2521215Z     {
2022-11-23T01:32:30.2521277Z         {
2022-11-23T01:32:30.2521346Z             {
2022-11-23T01:32:30.2521473Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2521566Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2521648Z             }
2022-11-23T01:32:30.2521728Z         }
2022-11-23T01:32:30.2521830Z     }
2022-11-23T01:32:30.2521918Z     #pragma GCC ivdep
2022-11-23T01:32:30.2522002Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2522071Z     {
2022-11-23T01:32:30.2522157Z         #pragma GCC ivdep
2022-11-23T01:32:30.2522245Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.2522314Z         {
2022-11-23T01:32:30.2522376Z             {
2022-11-23T01:32:30.2522444Z                 {
2022-11-23T01:32:30.2522550Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:30.2522655Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:32:30.2522773Z                     atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:32:30.2522843Z                 }
2022-11-23T01:32:30.2522911Z             }
2022-11-23T01:32:30.2522972Z         }
2022-11-23T01:32:30.2523044Z     }
2022-11-23T01:32:30.2523109Z }
2022-11-23T01:32:30.2523196Z ''')
2022-11-23T01:32:30.2523201Z 
2022-11-23T01:32:30.2523205Z 
2022-11-23T01:32:30.2523299Z async_compile.wait(globals())
2022-11-23T01:32:30.2523380Z del async_compile
2022-11-23T01:32:30.2523385Z 
2022-11-23T01:32:30.2523458Z def call(args):
2022-11-23T01:32:30.2523539Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2523616Z     args.clear()
2022-11-23T01:32:30.2523813Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2524009Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2524083Z     del arg0_1
2022-11-23T01:32:30.2524155Z     del arg1_1
2022-11-23T01:32:30.2524226Z     del arg2_1
2022-11-23T01:32:30.2524303Z     return (buf0, )
2022-11-23T01:32:30.2524308Z 
2022-11-23T01:32:30.2524313Z 
2022-11-23T01:32:30.2524388Z if __name__ == "__main__":
2022-11-23T01:32:30.2524509Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2524638Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2524836Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2525036Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2525228Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2525359Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2525364Z 
2022-11-23T01:32:30.2525436Z ok (1.578s)
2022-11-23T01:32:30.2525735Z   test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:32,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2526051Z [2022-11-23 01:26:32,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2526272Z [2022-11-23 01:26:32,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2526523Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2526801Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2527118Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2527454Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2527770Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2528164Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757> 
2022-11-23T01:32:30.2528268Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2528393Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:30.2528492Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2528590Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2528689Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2528786Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2528881Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2528962Z               14 RETURN_VALUE
2022-11-23T01:32:30.2529022Z  
2022-11-23T01:32:30.2529033Z 
2022-11-23T01:32:30.2529340Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758
2022-11-23T01:32:30.2529562Z [2022-11-23 01:26:32,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2529874Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2530138Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:30.2530427Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:30.2530751Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2531096Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2531473Z [2022-11-23 01:26:32,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2531749Z [2022-11-23 01:26:32,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2532145Z [2022-11-23 01:26:32,616] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757>
2022-11-23T01:32:30.2532384Z [2022-11-23 01:26:32,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2532617Z [2022-11-23 01:26:32,616] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2532870Z [2022-11-23 01:26:32,617] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2533120Z [2022-11-23 01:26:32,620] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2533311Z [2022-11-23 01:26:32,620] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2533451Z  __compiled_fn_200 <eval_with_key>.1247 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2533547Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2533641Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2533724Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2533868Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T01:32:30.2533981Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:30.2533986Z 
2022-11-23T01:32:30.2534309Z [2022-11-23 01:26:32,620] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2534412Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2534507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2534636Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2534738Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2534823Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2534939Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2535022Z              12 RETURN_VALUE
2022-11-23T01:32:30.2535028Z 
2022-11-23T01:32:30.2535094Z  
2022-11-23T01:32:30.2535414Z [2022-11-23 01:26:32,620] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2535530Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_200)
2022-11-23T01:32:30.2535631Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2535727Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2535802Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2535897Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2535994Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2536076Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2536168Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2536259Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2536344Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2536431Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2536526Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2536607Z              24 RETURN_VALUE
2022-11-23T01:32:30.2536612Z 
2022-11-23T01:32:30.2536677Z  
2022-11-23T01:32:30.2536864Z [2022-11-23 01:26:32,621] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2536940Z  - 
2022-11-23T01:32:30.2537062Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2537125Z             {
2022-11-23T01:32:30.2537270Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2537458Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2537583Z                 'obj_weakref': None
2022-11-23T01:32:30.2537806Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2537875Z             }
2022-11-23T01:32:30.2537947Z             
2022-11-23T01:32:30.2538016Z  - 
2022-11-23T01:32:30.2538144Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2538213Z             {
2022-11-23T01:32:30.2538357Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2538469Z                 'code': None,
2022-11-23T01:32:30.2538681Z                 'obj_weakref': <weakref at 0x7f207274ce50; to 'Tensor' at 0x7f2151eec360>
2022-11-23T01:32:30.2539152Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2539216Z             }
2022-11-23T01:32:30.2539288Z             
2022-11-23T01:32:30.2539369Z  - 
2022-11-23T01:32:30.2539501Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2539568Z             {
2022-11-23T01:32:30.2539717Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2539905Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:30.2540022Z                 'obj_weakref': None
2022-11-23T01:32:30.2540240Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2540308Z             }
2022-11-23T01:32:30.2540376Z             
2022-11-23T01:32:30.2540451Z  - 
2022-11-23T01:32:30.2540578Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2540646Z             {
2022-11-23T01:32:30.2540783Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2540895Z                 'code': None,
2022-11-23T01:32:30.2541102Z                 'obj_weakref': <weakref at 0x7f20680acbd0; to 'Tensor' at 0x7f2151eee200>
2022-11-23T01:32:30.2541354Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2541476Z             }
2022-11-23T01:32:30.2541548Z             
2022-11-23T01:32:30.2541622Z  - 
2022-11-23T01:32:30.2541741Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2541808Z             {
2022-11-23T01:32:30.2541982Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2542092Z                 'code': None,
2022-11-23T01:32:30.2542294Z                 'obj_weakref': <weakref at 0x7f20680ad170; to 'Tensor' at 0x7f20606cf790>
2022-11-23T01:32:30.2542533Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2542602Z             }
2022-11-23T01:32:30.2542665Z             
2022-11-23T01:32:30.2542743Z  - 
2022-11-23T01:32:30.2542880Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2542949Z             {
2022-11-23T01:32:30.2543093Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2543268Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2543393Z                 'obj_weakref': None
2022-11-23T01:32:30.2543612Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2543686Z             }
2022-11-23T01:32:30.2543753Z             
2022-11-23T01:32:30.2543828Z  - 
2022-11-23T01:32:30.2543954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2544025Z             {
2022-11-23T01:32:30.2544165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2544375Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2544497Z                 'obj_weakref': None
2022-11-23T01:32:30.2544716Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2544785Z             }
2022-11-23T01:32:30.2544853Z             
2022-11-23T01:32:30.2544927Z  - 
2022-11-23T01:32:30.2545065Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2545130Z             {
2022-11-23T01:32:30.2545253Z                 'guard_types': None,
2022-11-23T01:32:30.2545363Z                 'code': None,
2022-11-23T01:32:30.2545484Z                 'obj_weakref': None
2022-11-23T01:32:30.2545612Z                 'guarded_class': None
2022-11-23T01:32:30.2545681Z             }
2022-11-23T01:32:30.2545749Z             
2022-11-23T01:32:30.2546004Z [2022-11-23 01:26:32,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193
2022-11-23T01:32:30.2546361Z [2022-11-23 01:26:34,191] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ks/cks5gzxeakn2ijs3d4wbqre4nciujvu622nal6qio62eqawlbi4n.py
2022-11-23T01:32:30.2546625Z [2022-11-23 01:26:34,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193
2022-11-23T01:32:30.2546631Z 
2022-11-23T01:32:30.2546730Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2546806Z import torch
2022-11-23T01:32:30.2546880Z import random
2022-11-23T01:32:30.2547005Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2547134Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2547140Z 
2022-11-23T01:32:30.2547216Z aten = torch.ops.aten
2022-11-23T01:32:30.2547358Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2547455Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2547460Z 
2022-11-23T01:32:30.2547534Z import triton
2022-11-23T01:32:30.2547629Z import triton.language as tl
2022-11-23T01:32:30.2547757Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2547897Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2547902Z 
2022-11-23T01:32:30.2547907Z 
2022-11-23T01:32:30.2548043Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2548246Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2548372Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2548517Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2548629Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2548736Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2548828Z {
2022-11-23T01:32:30.2548931Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2548991Z     {
2022-11-23T01:32:30.2549073Z         #pragma omp for 
2022-11-23T01:32:30.2549162Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:32:30.2549230Z         {
2022-11-23T01:32:30.2549373Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2549471Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2549539Z         }
2022-11-23T01:32:30.2549632Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2549724Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:32:30.2549792Z         {
2022-11-23T01:32:30.2549883Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2549973Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2550042Z         }
2022-11-23T01:32:30.2550126Z         #pragma omp single
2022-11-23T01:32:30.2550188Z         {
2022-11-23T01:32:30.2550344Z             #pragma GCC ivdep
2022-11-23T01:32:30.2550450Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.2550531Z             {
2022-11-23T01:32:30.2550612Z                 {
2022-11-23T01:32:30.2550686Z                     {
2022-11-23T01:32:30.2550791Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.2550884Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:30.2550998Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:30.2551071Z                     }
2022-11-23T01:32:30.2551140Z                 }
2022-11-23T01:32:30.2551208Z             }
2022-11-23T01:32:30.2551278Z         }
2022-11-23T01:32:30.2551338Z     }
2022-11-23T01:32:30.2551403Z }
2022-11-23T01:32:30.2551493Z ''')
2022-11-23T01:32:30.2551498Z 
2022-11-23T01:32:30.2551506Z 
2022-11-23T01:32:30.2551599Z async_compile.wait(globals())
2022-11-23T01:32:30.2551676Z del async_compile
2022-11-23T01:32:30.2551681Z 
2022-11-23T01:32:30.2551757Z def call(args):
2022-11-23T01:32:30.2551848Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2551925Z     args.clear()
2022-11-23T01:32:30.2552130Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2552325Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2552399Z     del arg0_1
2022-11-23T01:32:30.2552471Z     del arg1_1
2022-11-23T01:32:30.2552542Z     del arg2_1
2022-11-23T01:32:30.2552619Z     return (buf0, )
2022-11-23T01:32:30.2552625Z 
2022-11-23T01:32:30.2552629Z 
2022-11-23T01:32:30.2552713Z if __name__ == "__main__":
2022-11-23T01:32:30.2552827Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2552959Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2553169Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2553372Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2553581Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2553708Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2553713Z 
2022-11-23T01:32:30.2553785Z ok (1.588s)
2022-11-23T01:32:30.2554041Z   test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2022-11-23T01:32:30.2554280Z [2022-11-23 01:26:34,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2554614Z [2022-11-23 01:26:34,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2554836Z [2022-11-23 01:26:34,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2555089Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2555392Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2555706Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2556044Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2556359Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2556724Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771> 
2022-11-23T01:32:30.2556829Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2556945Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T01:32:30.2557036Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2557133Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2557234Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2557330Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2557472Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:30.2557567Z               14 CALL_METHOD              5
2022-11-23T01:32:30.2557648Z               16 RETURN_VALUE
2022-11-23T01:32:30.2557707Z  
2022-11-23T01:32:30.2557712Z 
2022-11-23T01:32:30.2558026Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772
2022-11-23T01:32:30.2558244Z [2022-11-23 01:26:34,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2558563Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2558824Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:30.2559118Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:30.2559448Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2559799Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2560177Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2560596Z [2022-11-23 01:26:34,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:30.2560842Z [2022-11-23 01:26:34,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2561210Z [2022-11-23 01:26:34,205] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771>
2022-11-23T01:32:30.2561491Z [2022-11-23 01:26:34,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2561758Z [2022-11-23 01:26:34,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2562058Z [2022-11-23 01:26:34,206] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2562313Z [2022-11-23 01:26:34,208] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2562506Z [2022-11-23 01:26:34,208] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2562649Z  __compiled_fn_201 <eval_with_key>.1253 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2562744Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2562839Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2562923Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2563141Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T01:32:30.2563263Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:30.2563269Z 
2022-11-23T01:32:30.2563597Z [2022-11-23 01:26:34,208] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2563702Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2563799Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2563892Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2563991Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2564076Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2564170Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2564250Z              12 RETURN_VALUE
2022-11-23T01:32:30.2564256Z 
2022-11-23T01:32:30.2564322Z  
2022-11-23T01:32:30.2564650Z [2022-11-23 01:26:34,209] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2564767Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_201)
2022-11-23T01:32:30.2564864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2564960Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2565039Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2565134Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2565229Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2565310Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2565405Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2565496Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2565577Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2565665Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2565762Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2565846Z              24 RETURN_VALUE
2022-11-23T01:32:30.2565851Z 
2022-11-23T01:32:30.2565917Z  
2022-11-23T01:32:30.2566104Z [2022-11-23 01:26:34,209] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2566180Z  - 
2022-11-23T01:32:30.2566303Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2566366Z             {
2022-11-23T01:32:30.2566518Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2566709Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2566832Z                 'obj_weakref': None
2022-11-23T01:32:30.2567054Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2567124Z             }
2022-11-23T01:32:30.2567191Z             
2022-11-23T01:32:30.2567259Z  - 
2022-11-23T01:32:30.2567386Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2567456Z             {
2022-11-23T01:32:30.2567602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2567712Z                 'code': None,
2022-11-23T01:32:30.2567958Z                 'obj_weakref': <weakref at 0x7f20726fdda0; to 'Tensor' at 0x7f2128464450>
2022-11-23T01:32:30.2568212Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2568332Z             }
2022-11-23T01:32:30.2568401Z             
2022-11-23T01:32:30.2568477Z  - 
2022-11-23T01:32:30.2568610Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2568680Z             {
2022-11-23T01:32:30.2568825Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2569013Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:30.2569128Z                 'obj_weakref': None
2022-11-23T01:32:30.2569348Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2569416Z             }
2022-11-23T01:32:30.2569485Z             
2022-11-23T01:32:30.2569562Z  - 
2022-11-23T01:32:30.2569688Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2569762Z             {
2022-11-23T01:32:30.2569898Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2570008Z                 'code': None,
2022-11-23T01:32:30.2570215Z                 'obj_weakref': <weakref at 0x7f20726fe430; to 'Tensor' at 0x7f2151eee250>
2022-11-23T01:32:30.2570462Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2570532Z             }
2022-11-23T01:32:30.2570600Z             
2022-11-23T01:32:30.2570678Z  - 
2022-11-23T01:32:30.2570798Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2570866Z             {
2022-11-23T01:32:30.2571007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2571118Z                 'code': None,
2022-11-23T01:32:30.2571321Z                 'obj_weakref': <weakref at 0x7f2023234040; to 'Tensor' at 0x7f2151eee200>
2022-11-23T01:32:30.2571566Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2571657Z             }
2022-11-23T01:32:30.2571723Z             
2022-11-23T01:32:30.2571811Z  - 
2022-11-23T01:32:30.2571955Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2572030Z             {
2022-11-23T01:32:30.2572168Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2572341Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2572677Z                 'obj_weakref': None
2022-11-23T01:32:30.2572902Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2572971Z             }
2022-11-23T01:32:30.2573040Z             
2022-11-23T01:32:30.2573114Z  - 
2022-11-23T01:32:30.2573239Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2573308Z             {
2022-11-23T01:32:30.2573449Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2573666Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2573790Z                 'obj_weakref': None
2022-11-23T01:32:30.2574012Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2574084Z             }
2022-11-23T01:32:30.2574154Z             
2022-11-23T01:32:30.2574228Z  - 
2022-11-23T01:32:30.2574364Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2574426Z             {
2022-11-23T01:32:30.2574550Z                 'guard_types': None,
2022-11-23T01:32:30.2574665Z                 'code': None,
2022-11-23T01:32:30.2574787Z                 'obj_weakref': None
2022-11-23T01:32:30.2574912Z                 'guarded_class': None
2022-11-23T01:32:30.2574981Z             }
2022-11-23T01:32:30.2575042Z             
2022-11-23T01:32:30.2575308Z [2022-11-23 01:26:34,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194
2022-11-23T01:32:30.2575706Z [2022-11-23 01:26:34,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ks/cks5gzxeakn2ijs3d4wbqre4nciujvu622nal6qio62eqawlbi4n.py
2022-11-23T01:32:30.2575974Z [2022-11-23 01:26:34,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194
2022-11-23T01:32:30.2576001Z 
2022-11-23T01:32:30.2576102Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2576176Z import torch
2022-11-23T01:32:30.2576250Z import random
2022-11-23T01:32:30.2576371Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2576490Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2576502Z 
2022-11-23T01:32:30.2576579Z aten = torch.ops.aten
2022-11-23T01:32:30.2576716Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2576815Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2576821Z 
2022-11-23T01:32:30.2576895Z import triton
2022-11-23T01:32:30.2576988Z import triton.language as tl
2022-11-23T01:32:30.2577117Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2577262Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2577268Z 
2022-11-23T01:32:30.2577273Z 
2022-11-23T01:32:30.2577410Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2577617Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2577742Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2577853Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2577967Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2578072Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2578138Z {
2022-11-23T01:32:30.2578245Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2578305Z     {
2022-11-23T01:32:30.2578387Z         #pragma omp for 
2022-11-23T01:32:30.2578476Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:32:30.2578545Z         {
2022-11-23T01:32:30.2578688Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2578969Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2579040Z         }
2022-11-23T01:32:30.2579134Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2579229Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:32:30.2579299Z         {
2022-11-23T01:32:30.2579389Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2579476Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2579544Z         }
2022-11-23T01:32:30.2579630Z         #pragma omp single
2022-11-23T01:32:30.2579692Z         {
2022-11-23T01:32:30.2579777Z             #pragma GCC ivdep
2022-11-23T01:32:30.2579865Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.2579934Z             {
2022-11-23T01:32:30.2580003Z                 {
2022-11-23T01:32:30.2580074Z                     {
2022-11-23T01:32:30.2580168Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.2580272Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:30.2580386Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:30.2580459Z                     }
2022-11-23T01:32:30.2580529Z                 }
2022-11-23T01:32:30.2580600Z             }
2022-11-23T01:32:30.2580666Z         }
2022-11-23T01:32:30.2580726Z     }
2022-11-23T01:32:30.2580791Z }
2022-11-23T01:32:30.2580880Z ''')
2022-11-23T01:32:30.2580886Z 
2022-11-23T01:32:30.2580890Z 
2022-11-23T01:32:30.2580985Z async_compile.wait(globals())
2022-11-23T01:32:30.2581063Z del async_compile
2022-11-23T01:32:30.2581068Z 
2022-11-23T01:32:30.2581144Z def call(args):
2022-11-23T01:32:30.2581232Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2581301Z     args.clear()
2022-11-23T01:32:30.2581511Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2581705Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2581838Z     del arg0_1
2022-11-23T01:32:30.2581912Z     del arg1_1
2022-11-23T01:32:30.2581984Z     del arg2_1
2022-11-23T01:32:30.2582061Z     return (buf0, )
2022-11-23T01:32:30.2582066Z 
2022-11-23T01:32:30.2582099Z 
2022-11-23T01:32:30.2582186Z if __name__ == "__main__":
2022-11-23T01:32:30.2582301Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2582429Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2582642Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2582843Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2583048Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2583176Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2583182Z 
2022-11-23T01:32:30.2583255Z ok (0.033s)
2022-11-23T01:32:30.2583570Z   test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:34,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2583879Z [2022-11-23 01:26:34,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2584101Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2584354Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2584630Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2584945Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2585288Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2585607Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2585977Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785> 
2022-11-23T01:32:30.2586078Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2586189Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T01:32:30.2586280Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2586377Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.2586478Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:30.2586573Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:30.2586718Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:30.2586816Z               14 LOAD_CONST               2 (False)
2022-11-23T01:32:30.2586979Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T01:32:30.2587074Z               18 CALL_FUNCTION_KW         6
2022-11-23T01:32:30.2587157Z               20 RETURN_VALUE
2022-11-23T01:32:30.2587223Z  
2022-11-23T01:32:30.2587228Z 
2022-11-23T01:32:30.2587539Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786
2022-11-23T01:32:30.2587761Z [2022-11-23 01:26:34,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2588076Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2588340Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:30.2588664Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:30.2588995Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2589363Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.2589737Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2590157Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:30.2590739Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T01:32:30.2591283Z [2022-11-23 01:26:34,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.2591535Z [2022-11-23 01:26:34,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2591909Z [2022-11-23 01:26:34,237] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785>
2022-11-23T01:32:30.2592161Z [2022-11-23 01:26:34,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2592397Z [2022-11-23 01:26:34,237] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2592655Z [2022-11-23 01:26:34,238] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2592902Z [2022-11-23 01:26:34,241] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2593094Z [2022-11-23 01:26:34,241] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2593236Z  __compiled_fn_202 <eval_with_key>.1259 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2593324Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2593416Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2593507Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.2593752Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T01:32:30.2593869Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:30.2593875Z 
2022-11-23T01:32:30.2594196Z [2022-11-23 01:26:34,241] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2594299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2594396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2594483Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2594580Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2596163Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2596255Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2596336Z              12 RETURN_VALUE
2022-11-23T01:32:30.2596342Z 
2022-11-23T01:32:30.2596407Z  
2022-11-23T01:32:30.2596760Z [2022-11-23 01:26:34,241] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2596872Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_202)
2022-11-23T01:32:30.2596968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2597086Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2597166Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2597262Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2597355Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2597437Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2597529Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2597615Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2597696Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2597789Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2597885Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2597966Z              24 RETURN_VALUE
2022-11-23T01:32:30.2597971Z 
2022-11-23T01:32:30.2598039Z  
2022-11-23T01:32:30.2598227Z [2022-11-23 01:26:34,242] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2598295Z  - 
2022-11-23T01:32:30.2598418Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2598490Z             {
2022-11-23T01:32:30.2598633Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2598822Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.2598945Z                 'obj_weakref': None
2022-11-23T01:32:30.2599167Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2599229Z             }
2022-11-23T01:32:30.2599298Z             
2022-11-23T01:32:30.2599378Z  - 
2022-11-23T01:32:30.2599506Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2599575Z             {
2022-11-23T01:32:30.2599721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2599832Z                 'code': None,
2022-11-23T01:32:30.2600035Z                 'obj_weakref': <weakref at 0x7f2068207d30; to 'Tensor' at 0x7f2068123a10>
2022-11-23T01:32:30.2600284Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2600357Z             }
2022-11-23T01:32:30.2600426Z             
2022-11-23T01:32:30.2600502Z  - 
2022-11-23T01:32:30.2600635Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.2600704Z             {
2022-11-23T01:32:30.2600843Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.2601033Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:30.2601156Z                 'obj_weakref': None
2022-11-23T01:32:30.2601377Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.2601449Z             }
2022-11-23T01:32:30.2601518Z             
2022-11-23T01:32:30.2601608Z  - 
2022-11-23T01:32:30.2601749Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2601834Z             {
2022-11-23T01:32:30.2601984Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2602096Z                 'code': None,
2022-11-23T01:32:30.2602307Z                 'obj_weakref': <weakref at 0x7f2068204d60; to 'Tensor' at 0x7f2115f59e90>
2022-11-23T01:32:30.2602557Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2602628Z             }
2022-11-23T01:32:30.2602690Z             
2022-11-23T01:32:30.2602765Z  - 
2022-11-23T01:32:30.2602893Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.2602962Z             {
2022-11-23T01:32:30.2603107Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2603218Z                 'code': None,
2022-11-23T01:32:30.2603426Z                 'obj_weakref': <weakref at 0x7f2127a1ecf0; to 'Tensor' at 0x7f21284679c0>
2022-11-23T01:32:30.2603692Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2603764Z             }
2022-11-23T01:32:30.2603831Z             
2022-11-23T01:32:30.2603907Z  - 
2022-11-23T01:32:30.2604069Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2604138Z             {
2022-11-23T01:32:30.2604276Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2604446Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2604570Z                 'obj_weakref': None
2022-11-23T01:32:30.2604801Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2604870Z             }
2022-11-23T01:32:30.2604938Z             
2022-11-23T01:32:30.2605013Z  - 
2022-11-23T01:32:30.2605141Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2605203Z             {
2022-11-23T01:32:30.2605345Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2605569Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2605693Z                 'obj_weakref': None
2022-11-23T01:32:30.2605922Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2605992Z             }
2022-11-23T01:32:30.2606060Z             
2022-11-23T01:32:30.2606128Z  - 
2022-11-23T01:32:30.2606266Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2606333Z             {
2022-11-23T01:32:30.2606459Z                 'guard_types': None,
2022-11-23T01:32:30.2606569Z                 'code': None,
2022-11-23T01:32:30.2606692Z                 'obj_weakref': None
2022-11-23T01:32:30.2606823Z                 'guarded_class': None
2022-11-23T01:32:30.2606885Z             }
2022-11-23T01:32:30.2606952Z             
2022-11-23T01:32:30.2607216Z [2022-11-23 01:26:34,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195
2022-11-23T01:32:30.2607584Z [2022-11-23 01:26:35,804] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c57luclorvyp2fooqcxjulrjphen2fzmfubxl6a32k5ewkvlzgrm.py
2022-11-23T01:32:30.2607852Z [2022-11-23 01:26:35,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195
2022-11-23T01:32:30.2607862Z 
2022-11-23T01:32:30.2607960Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2608034Z import torch
2022-11-23T01:32:30.2608102Z import random
2022-11-23T01:32:30.2608223Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2608352Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2608357Z 
2022-11-23T01:32:30.2608441Z aten = torch.ops.aten
2022-11-23T01:32:30.2608579Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2608678Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2608683Z 
2022-11-23T01:32:30.2608757Z import triton
2022-11-23T01:32:30.2608851Z import triton.language as tl
2022-11-23T01:32:30.2608973Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2609113Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2609119Z 
2022-11-23T01:32:30.2609124Z 
2022-11-23T01:32:30.2609264Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2609473Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2609598Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2609708Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.2609819Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2609923Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2609983Z {
2022-11-23T01:32:30.2610064Z     #pragma GCC ivdep
2022-11-23T01:32:30.2610152Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.2610217Z     {
2022-11-23T01:32:30.2610288Z         {
2022-11-23T01:32:30.2610356Z             {
2022-11-23T01:32:30.2610481Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2610565Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2610634Z             }
2022-11-23T01:32:30.2610700Z         }
2022-11-23T01:32:30.2610792Z     }
2022-11-23T01:32:30.2610873Z     #pragma GCC ivdep
2022-11-23T01:32:30.2610956Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2611016Z     {
2022-11-23T01:32:30.2611098Z         #pragma GCC ivdep
2022-11-23T01:32:30.2611186Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.2611253Z         {
2022-11-23T01:32:30.2611323Z             {
2022-11-23T01:32:30.2611393Z                 {
2022-11-23T01:32:30.2611500Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:30.2611609Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:30.2611731Z                     out_ptr0[i1 + (3*tmp0)] = tmp1;
2022-11-23T01:32:30.2611807Z                 }
2022-11-23T01:32:30.2611892Z             }
2022-11-23T01:32:30.2611958Z         }
2022-11-23T01:32:30.2612024Z     }
2022-11-23T01:32:30.2612100Z     #pragma GCC ivdep
2022-11-23T01:32:30.2612185Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2612253Z     {
2022-11-23T01:32:30.2612335Z         #pragma GCC ivdep
2022-11-23T01:32:30.2612425Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.2612494Z         {
2022-11-23T01:32:30.2612563Z             {
2022-11-23T01:32:30.2612627Z                 {
2022-11-23T01:32:30.2612732Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:30.2612835Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:32:30.2612951Z                     atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:32:30.2613022Z                 }
2022-11-23T01:32:30.2613090Z             }
2022-11-23T01:32:30.2613157Z         }
2022-11-23T01:32:30.2613216Z     }
2022-11-23T01:32:30.2613280Z }
2022-11-23T01:32:30.2613372Z ''')
2022-11-23T01:32:30.2613378Z 
2022-11-23T01:32:30.2613382Z 
2022-11-23T01:32:30.2613477Z async_compile.wait(globals())
2022-11-23T01:32:30.2613558Z del async_compile
2022-11-23T01:32:30.2613563Z 
2022-11-23T01:32:30.2613637Z def call(args):
2022-11-23T01:32:30.2613726Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2613797Z     args.clear()
2022-11-23T01:32:30.2614001Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2614197Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2614270Z     del arg0_1
2022-11-23T01:32:30.2614342Z     del arg1_1
2022-11-23T01:32:30.2614413Z     del arg2_1
2022-11-23T01:32:30.2614488Z     return (buf0, )
2022-11-23T01:32:30.2614494Z 
2022-11-23T01:32:30.2614498Z 
2022-11-23T01:32:30.2614579Z if __name__ == "__main__":
2022-11-23T01:32:30.2614694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2614823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2615024Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2615217Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2615409Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2615545Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2615551Z 
2022-11-23T01:32:30.2615621Z ok (1.579s)
2022-11-23T01:32:30.2615935Z   test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2616244Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2616465Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2616716Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2617023Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2617337Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2617697Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2618014Z [2022-11-23 01:26:35,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2618380Z [2022-11-23 01:26:35,811] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626> 
2022-11-23T01:32:30.2618482Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2618598Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:30.2618689Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2618980Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:30.2619083Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2619182Z               10 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2619276Z               12 CALL_METHOD              4
2022-11-23T01:32:30.2619282Z 
2022-11-23T01:32:30.2619382Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2619494Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:30.2619581Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2619673Z               20 LOAD_FAST                2 (b)
2022-11-23T01:32:30.2619765Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2619857Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2619955Z               26 CALL_METHOD              4
2022-11-23T01:32:30.2619960Z 
2022-11-23T01:32:30.2620053Z 3627          28 BUILD_TUPLE              2
2022-11-23T01:32:30.2620134Z               30 RETURN_VALUE
2022-11-23T01:32:30.2620204Z  
2022-11-23T01:32:30.2620209Z 
2022-11-23T01:32:30.2620519Z [2022-11-23 01:26:35,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628
2022-11-23T01:32:30.2620734Z [2022-11-23 01:26:35,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2621047Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2621309Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:30.2621603Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:30.2621937Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2622321Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2622709Z [2022-11-23 01:26:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2623016Z [2022-11-23 01:26:35,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629
2022-11-23T01:32:30.2623267Z [2022-11-23 01:26:35,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.2623664Z [2022-11-23 01:26:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2623954Z [2022-11-23 01:26:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T01:32:30.2624302Z [2022-11-23 01:26:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:30.2624650Z [2022-11-23 01:26:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2625031Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2625452Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2625763Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627
2022-11-23T01:32:30.2626035Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2626284Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2626660Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626>
2022-11-23T01:32:30.2626909Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2627149Z [2022-11-23 01:26:35,824] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2627405Z [2022-11-23 01:26:35,826] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2627655Z [2022-11-23 01:26:35,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2627849Z [2022-11-23 01:26:35,829] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2627990Z  __compiled_fn_203 <eval_with_key>.1265 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2628086Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2628177Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2628267Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.2628412Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T01:32:30.2628551Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T01:32:30.2628689Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T01:32:30.2628694Z 
2022-11-23T01:32:30.2629024Z [2022-11-23 01:26:35,829] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2629128Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2629225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2629320Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2629420Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2629511Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2629599Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2629679Z              12 RETURN_VALUE
2022-11-23T01:32:30.2629684Z 
2022-11-23T01:32:30.2629747Z  
2022-11-23T01:32:30.2630112Z [2022-11-23 01:26:35,829] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2630231Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_203)
2022-11-23T01:32:30.2630401Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2630549Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2630654Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2630742Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2630838Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2630919Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2631012Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2631105Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2631185Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.2631277Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.2631383Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2631494Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2631590Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2631671Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2631778Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2631876Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2631956Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.2632042Z              36 BUILD_TUPLE              2
2022-11-23T01:32:30.2632123Z              38 RETURN_VALUE
2022-11-23T01:32:30.2632128Z 
2022-11-23T01:32:30.2632197Z  
2022-11-23T01:32:30.2632416Z [2022-11-23 01:26:35,830] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2632507Z  - 
2022-11-23T01:32:30.2632637Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2632707Z             {
2022-11-23T01:32:30.2632844Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2633031Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.2633154Z                 'obj_weakref': None
2022-11-23T01:32:30.2633380Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2633450Z             }
2022-11-23T01:32:30.2633519Z             
2022-11-23T01:32:30.2633599Z  - 
2022-11-23T01:32:30.2633720Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2633788Z             {
2022-11-23T01:32:30.2633935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2634046Z                 'code': None,
2022-11-23T01:32:30.2634259Z                 'obj_weakref': <weakref at 0x7f20232bd850; to 'Tensor' at 0x7f21284679c0>
2022-11-23T01:32:30.2634509Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2634580Z             }
2022-11-23T01:32:30.2634641Z             
2022-11-23T01:32:30.2634717Z  - 
2022-11-23T01:32:30.2634845Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2634913Z             {
2022-11-23T01:32:30.2635063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2635174Z                 'code': None,
2022-11-23T01:32:30.2635382Z                 'obj_weakref': <weakref at 0x7f207274e430; to 'Tensor' at 0x7f2068123a10>
2022-11-23T01:32:30.2635629Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2635691Z             }
2022-11-23T01:32:30.2635760Z             
2022-11-23T01:32:30.2635836Z  - 
2022-11-23T01:32:30.2635962Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.2636031Z             {
2022-11-23T01:32:30.2636178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2636283Z                 'code': None,
2022-11-23T01:32:30.2636488Z                 'obj_weakref': <weakref at 0x7f2115a792b0; to 'Tensor' at 0x7f2068206250>
2022-11-23T01:32:30.2636729Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2636832Z             }
2022-11-23T01:32:30.2636902Z             
2022-11-23T01:32:30.2636980Z  - 
2022-11-23T01:32:30.2637116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2637177Z             {
2022-11-23T01:32:30.2637340Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2637516Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2637641Z                 'obj_weakref': None
2022-11-23T01:32:30.2637869Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2637938Z             }
2022-11-23T01:32:30.2638006Z             
2022-11-23T01:32:30.2638074Z  - 
2022-11-23T01:32:30.2638200Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2638268Z             {
2022-11-23T01:32:30.2638409Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2638631Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2638758Z                 'obj_weakref': None
2022-11-23T01:32:30.2638984Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2639053Z             }
2022-11-23T01:32:30.2639118Z             
2022-11-23T01:32:30.2639195Z  - 
2022-11-23T01:32:30.2639332Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2639400Z             {
2022-11-23T01:32:30.2639524Z                 'guard_types': None,
2022-11-23T01:32:30.2639636Z                 'code': None,
2022-11-23T01:32:30.2639753Z                 'obj_weakref': None
2022-11-23T01:32:30.2639879Z                 'guarded_class': None
2022-11-23T01:32:30.2639948Z             }
2022-11-23T01:32:30.2640015Z             
2022-11-23T01:32:30.2640280Z [2022-11-23 01:26:35,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196
2022-11-23T01:32:30.2640644Z [2022-11-23 01:26:37,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7obd27tt2oyrln7yyi3buq6ooqd7mgvljbapg5nuh2vaevjyfq.py
2022-11-23T01:32:30.2640917Z [2022-11-23 01:26:37,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196
2022-11-23T01:32:30.2640925Z 
2022-11-23T01:32:30.2641027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2641095Z import torch
2022-11-23T01:32:30.2641169Z import random
2022-11-23T01:32:30.2641289Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2641415Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2641421Z 
2022-11-23T01:32:30.2641503Z aten = torch.ops.aten
2022-11-23T01:32:30.2641645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2641746Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2641753Z 
2022-11-23T01:32:30.2641844Z import triton
2022-11-23T01:32:30.2641936Z import triton.language as tl
2022-11-23T01:32:30.2642083Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2642229Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2642235Z 
2022-11-23T01:32:30.2642240Z 
2022-11-23T01:32:30.2642382Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2642590Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2642717Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2642827Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2642937Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.2643034Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2643139Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2643205Z {
2022-11-23T01:32:30.2643310Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2643376Z     {
2022-11-23T01:32:30.2643458Z         #pragma omp for 
2022-11-23T01:32:30.2643540Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2643608Z         {
2022-11-23T01:32:30.2643727Z             #pragma GCC ivdep
2022-11-23T01:32:30.2643820Z             for(long i1=0; i1<197; i1+=1)
2022-11-23T01:32:30.2643891Z             {
2022-11-23T01:32:30.2643979Z                 #pragma GCC ivdep
2022-11-23T01:32:30.2644097Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:32:30.2644160Z                 {
2022-11-23T01:32:30.2644235Z                     {
2022-11-23T01:32:30.2644309Z                         {
2022-11-23T01:32:30.2644424Z                             auto tmp3 = in_ptr0[i2 + (38*i0)];
2022-11-23T01:32:30.2644544Z                             auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)];
2022-11-23T01:32:30.2644663Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:30.2644774Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:30.2644871Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:30.2644984Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:30.2645099Z                             out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5;
2022-11-23T01:32:30.2645174Z                         }
2022-11-23T01:32:30.2645245Z                     }
2022-11-23T01:32:30.2645318Z                 }
2022-11-23T01:32:30.2645386Z             }
2022-11-23T01:32:30.2645447Z         }
2022-11-23T01:32:30.2645529Z         #pragma omp for 
2022-11-23T01:32:30.2645615Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2645683Z         {
2022-11-23T01:32:30.2645771Z             #pragma GCC ivdep
2022-11-23T01:32:30.2645868Z             for(long i1=0; i1<7486; i1+=1)
2022-11-23T01:32:30.2645938Z             {
2022-11-23T01:32:30.2646001Z                 {
2022-11-23T01:32:30.2646071Z                     {
2022-11-23T01:32:30.2646173Z                         auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:30.2646286Z                         auto tmp4 = in_ptr1[i1 + (7486*i0)];
2022-11-23T01:32:30.2646398Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:32:30.2646509Z                         auto tmp1 = static_cast<int>(1);
2022-11-23T01:32:30.2646610Z                         auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:30.2646709Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:30.2646816Z                         out_ptr1[i1 + (7486*i0)] = tmp5;
2022-11-23T01:32:30.2646889Z                     }
2022-11-23T01:32:30.2646959Z                 }
2022-11-23T01:32:30.2647026Z             }
2022-11-23T01:32:30.2647095Z         }
2022-11-23T01:32:30.2647162Z     }
2022-11-23T01:32:30.2647220Z }
2022-11-23T01:32:30.2647305Z ''')
2022-11-23T01:32:30.2647310Z 
2022-11-23T01:32:30.2647315Z 
2022-11-23T01:32:30.2647408Z async_compile.wait(globals())
2022-11-23T01:32:30.2647488Z del async_compile
2022-11-23T01:32:30.2647492Z 
2022-11-23T01:32:30.2647567Z def call(args):
2022-11-23T01:32:30.2647654Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.2647730Z     args.clear()
2022-11-23T01:32:30.2647942Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2648154Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2648370Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2648447Z     del arg0_1
2022-11-23T01:32:30.2648518Z     del arg1_1
2022-11-23T01:32:30.2648589Z     del arg2_1
2022-11-23T01:32:30.2648674Z     return (buf0, buf1, )
2022-11-23T01:32:30.2648680Z 
2022-11-23T01:32:30.2648684Z 
2022-11-23T01:32:30.2648765Z if __name__ == "__main__":
2022-11-23T01:32:30.2648879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2649007Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2649220Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2649420Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2649648Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2649778Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.2649805Z 
2022-11-23T01:32:30.2649880Z ok (1.601s)
2022-11-23T01:32:30.2650174Z   test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2650488Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2650701Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2650955Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2651233Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2651553Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2651901Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2652254Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2652645Z [2022-11-23 01:26:37,409] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670> 
2022-11-23T01:32:30.2652748Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2652848Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:30.2652942Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2653038Z               6 CALL_METHOD              1
2022-11-23T01:32:30.2653137Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2653234Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:30.2653335Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2653429Z              14 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2653510Z              16 BINARY_ADD
2022-11-23T01:32:30.2653596Z              18 CALL_METHOD              1
2022-11-23T01:32:30.2653690Z              20 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2653774Z              22 BINARY_SUBTRACT
2022-11-23T01:32:30.2653866Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2653947Z              26 RETURN_VALUE
2022-11-23T01:32:30.2654014Z  
2022-11-23T01:32:30.2654019Z 
2022-11-23T01:32:30.2654334Z [2022-11-23 01:26:37,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671
2022-11-23T01:32:30.2654557Z [2022-11-23 01:26:37,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2654907Z [2022-11-23 01:26:37,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2655219Z [2022-11-23 01:26:37,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2655563Z [2022-11-23 01:26:37,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2655815Z [2022-11-23 01:26:37,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2656223Z [2022-11-23 01:26:37,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2656561Z [2022-11-23 01:26:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2656946Z [2022-11-23 01:26:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2657349Z [2022-11-23 01:26:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2657716Z [2022-11-23 01:26:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2657983Z [2022-11-23 01:26:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2658297Z [2022-11-23 01:26:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2658569Z [2022-11-23 01:26:37,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2658990Z [2022-11-23 01:26:37,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2659364Z [2022-11-23 01:26:37,414] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670>
2022-11-23T01:32:30.2659611Z [2022-11-23 01:26:37,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2659851Z [2022-11-23 01:26:37,414] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2660104Z [2022-11-23 01:26:37,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2660356Z [2022-11-23 01:26:37,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2660549Z [2022-11-23 01:26:37,419] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2660690Z  __compiled_fn_204 <eval_with_key>.1271 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2660785Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2660999Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2661173Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2661393Z call_function, sgn_1, <built-in method sgn of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.2661568Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T01:32:30.2661676Z output, output, output, ((sgn, sub),), {}
2022-11-23T01:32:30.2661682Z 
2022-11-23T01:32:30.2662008Z [2022-11-23 01:26:37,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2662113Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2662209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2662302Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2662395Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2662486Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2662580Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2662662Z              12 RETURN_VALUE
2022-11-23T01:32:30.2662667Z 
2022-11-23T01:32:30.2662733Z  
2022-11-23T01:32:30.2663103Z [2022-11-23 01:26:37,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2663221Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_204)
2022-11-23T01:32:30.2663311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2663435Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2663518Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2663611Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2663724Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2663834Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2663928Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2664003Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2664108Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2664204Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2664286Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2664379Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2664462Z              26 RETURN_VALUE
2022-11-23T01:32:30.2664467Z 
2022-11-23T01:32:30.2664532Z  
2022-11-23T01:32:30.2664720Z [2022-11-23 01:26:37,420] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2664793Z  - 
2022-11-23T01:32:30.2664916Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2664985Z             {
2022-11-23T01:32:30.2665132Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2665322Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2665445Z                 'obj_weakref': None
2022-11-23T01:32:30.2665668Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2665731Z             }
2022-11-23T01:32:30.2665800Z             
2022-11-23T01:32:30.2665875Z  - 
2022-11-23T01:32:30.2666006Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2666075Z             {
2022-11-23T01:32:30.2666222Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2666329Z                 'code': None,
2022-11-23T01:32:30.2666537Z                 'obj_weakref': <weakref at 0x7f20726fcd10; to 'Tensor' at 0x7f2151eee2f0>
2022-11-23T01:32:30.2666785Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2666860Z             }
2022-11-23T01:32:30.2666928Z             
2022-11-23T01:32:30.2667004Z  - 
2022-11-23T01:32:30.2667136Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2667204Z             {
2022-11-23T01:32:30.2667336Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2667509Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2667632Z                 'obj_weakref': None
2022-11-23T01:32:30.2667861Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2667930Z             }
2022-11-23T01:32:30.2667997Z             
2022-11-23T01:32:30.2668075Z  - 
2022-11-23T01:32:30.2668193Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2668262Z             {
2022-11-23T01:32:30.2668402Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2668623Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2668747Z                 'obj_weakref': None
2022-11-23T01:32:30.2668971Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2669039Z             }
2022-11-23T01:32:30.2669101Z             
2022-11-23T01:32:30.2669178Z  - 
2022-11-23T01:32:30.2669315Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2669383Z             {
2022-11-23T01:32:30.2669506Z                 'guard_types': None,
2022-11-23T01:32:30.2669619Z                 'code': None,
2022-11-23T01:32:30.2669734Z                 'obj_weakref': None
2022-11-23T01:32:30.2669858Z                 'guarded_class': None
2022-11-23T01:32:30.2669958Z             }
2022-11-23T01:32:30.2670028Z             
2022-11-23T01:32:30.2670367Z [2022-11-23 01:26:37,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197
2022-11-23T01:32:30.2670804Z [2022-11-23 01:26:38,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/je/cjesbd4fwudaxeikycaaj533ny5cj6nv2nzcbdfmo6gvbjhjejfs.py
2022-11-23T01:32:30.2671070Z [2022-11-23 01:26:38,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197
2022-11-23T01:32:30.2671076Z 
2022-11-23T01:32:30.2671176Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2671243Z import torch
2022-11-23T01:32:30.2671319Z import random
2022-11-23T01:32:30.2671440Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2671567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2671572Z 
2022-11-23T01:32:30.2671655Z aten = torch.ops.aten
2022-11-23T01:32:30.2671800Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2671897Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2671902Z 
2022-11-23T01:32:30.2671978Z import triton
2022-11-23T01:32:30.2672064Z import triton.language as tl
2022-11-23T01:32:30.2672196Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2672341Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2672346Z 
2022-11-23T01:32:30.2672351Z 
2022-11-23T01:32:30.2672489Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2672698Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2672823Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2672930Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2673032Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2673091Z {
2022-11-23T01:32:30.2673195Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2673266Z     {
2022-11-23T01:32:30.2673352Z         #pragma omp for 
2022-11-23T01:32:30.2673438Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.2673509Z         {
2022-11-23T01:32:30.2673652Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2673824Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:32:30.2674000Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:32:30.2674128Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.2674268Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2674357Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.2674529Z             auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5);
2022-11-23T01:32:30.2674705Z             auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0));
2022-11-23T01:32:30.2674834Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:30.2674959Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:30.2675050Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2675152Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2675221Z         }
2022-11-23T01:32:30.2675323Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2675411Z         for(long i0=40; i0<41; i0+=1)
2022-11-23T01:32:30.2675478Z         {
2022-11-23T01:32:30.2675561Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2675653Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:30.2675747Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:30.2675873Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.2675980Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:30.2676068Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.2676162Z             auto tmp6 = tmp5 > 0 ? 1 : 0;
2022-11-23T01:32:30.2676333Z             auto tmp7 = tmp5 < 0 ? 1 : 0;
2022-11-23T01:32:30.2676460Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:30.2676585Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:30.2676694Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.2676779Z             out_ptr1[i0] = tmp9;
2022-11-23T01:32:30.2676847Z         }
2022-11-23T01:32:30.2676916Z     }
2022-11-23T01:32:30.2676974Z }
2022-11-23T01:32:30.2677062Z ''')
2022-11-23T01:32:30.2677068Z 
2022-11-23T01:32:30.2677072Z 
2022-11-23T01:32:30.2677167Z async_compile.wait(globals())
2022-11-23T01:32:30.2677243Z del async_compile
2022-11-23T01:32:30.2677249Z 
2022-11-23T01:32:30.2677323Z def call(args):
2022-11-23T01:32:30.2677398Z     arg0_1, = args
2022-11-23T01:32:30.2677474Z     args.clear()
2022-11-23T01:32:30.2677666Z     buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2677857Z     buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2678031Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2678105Z     del arg0_1
2022-11-23T01:32:30.2678186Z     return (buf0, buf1, )
2022-11-23T01:32:30.2678194Z 
2022-11-23T01:32:30.2678199Z 
2022-11-23T01:32:30.2678279Z if __name__ == "__main__":
2022-11-23T01:32:30.2678401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2678529Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2678717Z     arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2678832Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2678838Z 
2022-11-23T01:32:30.2678909Z ok (1.574s)
2022-11-23T01:32:30.2679216Z   test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2679528Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2679747Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2680008Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2680285Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2680600Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2680941Z [2022-11-23 01:26:38,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2681252Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2681623Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676> 
2022-11-23T01:32:30.2681746Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2681864Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:30.2681969Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2682067Z               6 CALL_METHOD              1
2022-11-23T01:32:30.2682162Z               8 BUILD_TUPLE              1
2022-11-23T01:32:30.2682243Z              10 RETURN_VALUE
2022-11-23T01:32:30.2682303Z  
2022-11-23T01:32:30.2682307Z 
2022-11-23T01:32:30.2682619Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677
2022-11-23T01:32:30.2682869Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2683225Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2683557Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2683898Z [2022-11-23 01:26:38,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2684141Z [2022-11-23 01:26:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.2684388Z [2022-11-23 01:26:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2684765Z [2022-11-23 01:26:38,985] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676>
2022-11-23T01:32:30.2685014Z [2022-11-23 01:26:38,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2685250Z [2022-11-23 01:26:38,986] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2685508Z [2022-11-23 01:26:38,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2685765Z [2022-11-23 01:26:38,988] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2685958Z [2022-11-23 01:26:38,989] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2686100Z  __compiled_fn_205 <eval_with_key>.1277 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2686194Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2686420Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2686522Z output, output, output, ((sgn,),), {}
2022-11-23T01:32:30.2686528Z 
2022-11-23T01:32:30.2686854Z [2022-11-23 01:26:38,989] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2686953Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2687050Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2687144Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2687241Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2687332Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2687426Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2687509Z              12 RETURN_VALUE
2022-11-23T01:32:30.2687514Z 
2022-11-23T01:32:30.2687582Z  
2022-11-23T01:32:30.2687904Z [2022-11-23 01:26:38,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2688022Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_205)
2022-11-23T01:32:30.2688119Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2688223Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2688306Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2688398Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2688509Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2688613Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2688710Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2688792Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2688886Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.2688969Z              20 RETURN_VALUE
2022-11-23T01:32:30.2688974Z 
2022-11-23T01:32:30.2689039Z  
2022-11-23T01:32:30.2689227Z [2022-11-23 01:26:38,990] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2689324Z  - 
2022-11-23T01:32:30.2689452Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2689521Z             {
2022-11-23T01:32:30.2689668Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2689882Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2690008Z                 'obj_weakref': None
2022-11-23T01:32:30.2690233Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2690296Z             }
2022-11-23T01:32:30.2690370Z             
2022-11-23T01:32:30.2690445Z  - 
2022-11-23T01:32:30.2690574Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2690643Z             {
2022-11-23T01:32:30.2690790Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2690902Z                 'code': None,
2022-11-23T01:32:30.2691103Z                 'obj_weakref': <weakref at 0x7f2023235b20; to 'Tensor' at 0x7f2115a78c70>
2022-11-23T01:32:30.2691355Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2691423Z             }
2022-11-23T01:32:30.2691493Z             
2022-11-23T01:32:30.2691571Z  - 
2022-11-23T01:32:30.2691706Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2691775Z             {
2022-11-23T01:32:30.2691908Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2692090Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2692230Z                 'obj_weakref': None
2022-11-23T01:32:30.2692488Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2692557Z             }
2022-11-23T01:32:30.2692629Z             
2022-11-23T01:32:30.2692703Z  - 
2022-11-23T01:32:30.2692823Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2692891Z             {
2022-11-23T01:32:30.2693033Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2693258Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2693380Z                 'obj_weakref': None
2022-11-23T01:32:30.2693613Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2693684Z             }
2022-11-23T01:32:30.2693746Z             
2022-11-23T01:32:30.2693822Z  - 
2022-11-23T01:32:30.2693961Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2694029Z             {
2022-11-23T01:32:30.2694155Z                 'guard_types': None,
2022-11-23T01:32:30.2694266Z                 'code': None,
2022-11-23T01:32:30.2694389Z                 'obj_weakref': None
2022-11-23T01:32:30.2694508Z                 'guarded_class': None
2022-11-23T01:32:30.2694575Z             }
2022-11-23T01:32:30.2694644Z             
2022-11-23T01:32:30.2694909Z [2022-11-23 01:26:38,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198
2022-11-23T01:32:30.2695273Z [2022-11-23 01:26:40,515] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qm/cqm7ysp7ewmk2jwyhdc6v6rl236zj7elt7sfacblsoj6o5lw6bgr.py
2022-11-23T01:32:30.2695541Z [2022-11-23 01:26:40,516] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198
2022-11-23T01:32:30.2695546Z 
2022-11-23T01:32:30.2695645Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2695718Z import torch
2022-11-23T01:32:30.2695785Z import random
2022-11-23T01:32:30.2695907Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2696032Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2696037Z 
2022-11-23T01:32:30.2696120Z aten = torch.ops.aten
2022-11-23T01:32:30.2696266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2696367Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2696372Z 
2022-11-23T01:32:30.2696446Z import triton
2022-11-23T01:32:30.2696565Z import triton.language as tl
2022-11-23T01:32:30.2696695Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2696838Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2696868Z 
2022-11-23T01:32:30.2696873Z 
2022-11-23T01:32:30.2697013Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2697221Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2697348Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2697455Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2697520Z {
2022-11-23T01:32:30.2697595Z     #pragma GCC ivdep
2022-11-23T01:32:30.2697682Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.2697749Z     {
2022-11-23T01:32:30.2697818Z         {
2022-11-23T01:32:30.2697887Z             {
2022-11-23T01:32:30.2697982Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2698081Z                 auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:30.2698175Z                 auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:30.2698313Z                 auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.2698401Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.2698474Z             }
2022-11-23T01:32:30.2698543Z         }
2022-11-23T01:32:30.2698610Z     }
2022-11-23T01:32:30.2698675Z }
2022-11-23T01:32:30.2698754Z ''')
2022-11-23T01:32:30.2698759Z 
2022-11-23T01:32:30.2698764Z 
2022-11-23T01:32:30.2699045Z async_compile.wait(globals())
2022-11-23T01:32:30.2699124Z del async_compile
2022-11-23T01:32:30.2699129Z 
2022-11-23T01:32:30.2699207Z def call(args):
2022-11-23T01:32:30.2699281Z     arg0_1, = args
2022-11-23T01:32:30.2699356Z     args.clear()
2022-11-23T01:32:30.2699556Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2699692Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2699767Z     del arg0_1
2022-11-23T01:32:30.2699843Z     return (buf0, )
2022-11-23T01:32:30.2699851Z 
2022-11-23T01:32:30.2699856Z 
2022-11-23T01:32:30.2699940Z if __name__ == "__main__":
2022-11-23T01:32:30.2700059Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2700194Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2700393Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2700505Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2700510Z 
2022-11-23T01:32:30.2700575Z ok (1.536s)
2022-11-23T01:32:30.2700883Z   test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:26:40,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2701204Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2701428Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2701686Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2701966Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2702291Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2702635Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2702958Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2703382Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006> 
2022-11-23T01:32:30.2703481Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2703584Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:30.2703713Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2703809Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2703910Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2704015Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:30.2704109Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2704198Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2704278Z               16 BINARY_ADD
2022-11-23T01:32:30.2704372Z               18 CALL_METHOD              1
2022-11-23T01:32:30.2704467Z               20 BUILD_TUPLE              2
2022-11-23T01:32:30.2704548Z               22 RETURN_VALUE
2022-11-23T01:32:30.2704614Z  
2022-11-23T01:32:30.2704619Z 
2022-11-23T01:32:30.2704941Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007
2022-11-23T01:32:30.2705166Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2705533Z [2022-11-23 01:26:40,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2705859Z [2022-11-23 01:26:40,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2706211Z [2022-11-23 01:26:40,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2706461Z [2022-11-23 01:26:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2706860Z [2022-11-23 01:26:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2707210Z [2022-11-23 01:26:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2707585Z [2022-11-23 01:26:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2707987Z [2022-11-23 01:26:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2708367Z [2022-11-23 01:26:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2708634Z [2022-11-23 01:26:40,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2708887Z [2022-11-23 01:26:40,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2709264Z [2022-11-23 01:26:40,524] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006>
2022-11-23T01:32:30.2709513Z [2022-11-23 01:26:40,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2709744Z [2022-11-23 01:26:40,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2710028Z [2022-11-23 01:26:40,525] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2710346Z [2022-11-23 01:26:40,529] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2710561Z [2022-11-23 01:26:40,529] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2710734Z  __compiled_fn_206 <eval_with_key>.1283 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2710830Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2710923Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2711164Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2711339Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.2711577Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:30.2711698Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T01:32:30.2711703Z 
2022-11-23T01:32:30.2712035Z [2022-11-23 01:26:40,530] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2712136Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2712239Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2712332Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2712432Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2712517Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2712612Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2712696Z              12 RETURN_VALUE
2022-11-23T01:32:30.2712702Z 
2022-11-23T01:32:30.2712769Z  
2022-11-23T01:32:30.2713095Z [2022-11-23 01:26:40,530] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2713210Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_206)
2022-11-23T01:32:30.2713309Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2713405Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2713480Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2713574Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2713671Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2713753Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2713847Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2713958Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2714069Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2714157Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2714239Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2714344Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2714440Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2714521Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2714620Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.2714702Z              32 RETURN_VALUE
2022-11-23T01:32:30.2714707Z 
2022-11-23T01:32:30.2714766Z  
2022-11-23T01:32:30.2714956Z [2022-11-23 01:26:40,530] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2715036Z  - 
2022-11-23T01:32:30.2715161Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2715232Z             {
2022-11-23T01:32:30.2715377Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2715567Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2715684Z                 'obj_weakref': None
2022-11-23T01:32:30.2715911Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2715982Z             }
2022-11-23T01:32:30.2716050Z             
2022-11-23T01:32:30.2716126Z  - 
2022-11-23T01:32:30.2716259Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2716327Z             {
2022-11-23T01:32:30.2716498Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2716612Z                 'code': None,
2022-11-23T01:32:30.2716824Z                 'obj_weakref': <weakref at 0x7f2068205f30; to 'Tensor' at 0x7f2115af5530>
2022-11-23T01:32:30.2717101Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2717170Z             }
2022-11-23T01:32:30.2717238Z             
2022-11-23T01:32:30.2717314Z  - 
2022-11-23T01:32:30.2717435Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2717503Z             {
2022-11-23T01:32:30.2717650Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2717762Z                 'code': None,
2022-11-23T01:32:30.2717969Z                 'obj_weakref': <weakref at 0x7f2068205530; to 'Tensor' at 0x7f2115a7af20>
2022-11-23T01:32:30.2718216Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2718287Z             }
2022-11-23T01:32:30.2718349Z             
2022-11-23T01:32:30.2718426Z  - 
2022-11-23T01:32:30.2718561Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2718629Z             {
2022-11-23T01:32:30.2718774Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2718948Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2719073Z                 'obj_weakref': None
2022-11-23T01:32:30.2719297Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2719367Z             }
2022-11-23T01:32:30.2719435Z             
2022-11-23T01:32:30.2719510Z  - 
2022-11-23T01:32:30.2719636Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2719705Z             {
2022-11-23T01:32:30.2719846Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2720059Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2720186Z                 'obj_weakref': None
2022-11-23T01:32:30.2720413Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2720482Z             }
2022-11-23T01:32:30.2720557Z             
2022-11-23T01:32:30.2720630Z  - 
2022-11-23T01:32:30.2720771Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2720833Z             {
2022-11-23T01:32:30.2720957Z                 'guard_types': None,
2022-11-23T01:32:30.2721069Z                 'code': None,
2022-11-23T01:32:30.2721192Z                 'obj_weakref': None
2022-11-23T01:32:30.2721318Z                 'guarded_class': None
2022-11-23T01:32:30.2721388Z             }
2022-11-23T01:32:30.2721454Z             
2022-11-23T01:32:30.2721714Z [2022-11-23 01:26:40,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199
2022-11-23T01:32:30.2722137Z [2022-11-23 01:26:42,095] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3t/c3t52gvatyhpijvcliwglyb3n3gdkwg5bjhzvxwtlwbqrvn2mx25.py
2022-11-23T01:32:30.2722407Z [2022-11-23 01:26:42,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199
2022-11-23T01:32:30.2722416Z 
2022-11-23T01:32:30.2722519Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2722594Z import torch
2022-11-23T01:32:30.2722669Z import random
2022-11-23T01:32:30.2722790Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2722916Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2722922Z 
2022-11-23T01:32:30.2722998Z aten = torch.ops.aten
2022-11-23T01:32:30.2723138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2723235Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2723240Z 
2022-11-23T01:32:30.2723316Z import triton
2022-11-23T01:32:30.2723410Z import triton.language as tl
2022-11-23T01:32:30.2723537Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2723722Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2723729Z 
2022-11-23T01:32:30.2723733Z 
2022-11-23T01:32:30.2723873Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2724076Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2724229Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2724338Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2724443Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2724546Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2724613Z {
2022-11-23T01:32:30.2724717Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2724777Z     {
2022-11-23T01:32:30.2724860Z         #pragma omp for 
2022-11-23T01:32:30.2724949Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2725018Z         {
2022-11-23T01:32:30.2725165Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2725306Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.2725450Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:30.2725545Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:30.2725680Z             auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp());
2022-11-23T01:32:30.2725779Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2725876Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2725942Z         }
2022-11-23T01:32:30.2726043Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2726131Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2726200Z         {
2022-11-23T01:32:30.2726283Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2726373Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.2726514Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:30.2726604Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:30.2726697Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:30.2726833Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:30.2726922Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:30.2727006Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.2727092Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.2727160Z         }
2022-11-23T01:32:30.2727228Z     }
2022-11-23T01:32:30.2727295Z }
2022-11-23T01:32:30.2727379Z ''')
2022-11-23T01:32:30.2727384Z 
2022-11-23T01:32:30.2727389Z 
2022-11-23T01:32:30.2727482Z async_compile.wait(globals())
2022-11-23T01:32:30.2727554Z del async_compile
2022-11-23T01:32:30.2727559Z 
2022-11-23T01:32:30.2727634Z def call(args):
2022-11-23T01:32:30.2727715Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2727790Z     args.clear()
2022-11-23T01:32:30.2727990Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2728181Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2728382Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2728450Z     del arg0_1
2022-11-23T01:32:30.2728526Z     del arg1_1
2022-11-23T01:32:30.2728609Z     return (buf0, buf1, )
2022-11-23T01:32:30.2728614Z 
2022-11-23T01:32:30.2728619Z 
2022-11-23T01:32:30.2728701Z if __name__ == "__main__":
2022-11-23T01:32:30.2728822Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2728951Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2729148Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2729341Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2729456Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2729461Z 
2022-11-23T01:32:30.2729534Z ok (1.579s)
2022-11-23T01:32:30.2729870Z   test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2730188Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2730428Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2730683Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2730960Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2731275Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2731620Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2731987Z [2022-11-23 01:26:42,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2732351Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656> 
2022-11-23T01:32:30.2732457Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2732561Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:30.2732661Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2732763Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2732865Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2732967Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:30.2733063Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2733142Z               14 UNARY_NEGATIVE
2022-11-23T01:32:30.2733237Z               16 CALL_METHOD              1
2022-11-23T01:32:30.2733322Z               18 UNARY_INVERT
2022-11-23T01:32:30.2733420Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2733503Z               22 BINARY_AND
2022-11-23T01:32:30.2733601Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.2733681Z               26 RETURN_VALUE
2022-11-23T01:32:30.2733742Z  
2022-11-23T01:32:30.2733747Z 
2022-11-23T01:32:30.2734054Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657
2022-11-23T01:32:30.2734274Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2734639Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2734962Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2735315Z [2022-11-23 01:26:42,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2735564Z [2022-11-23 01:26:42,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.2735955Z [2022-11-23 01:26:42,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2736295Z [2022-11-23 01:26:42,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2736702Z [2022-11-23 01:26:42,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2737094Z [2022-11-23 01:26:42,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2737362Z [2022-11-23 01:26:42,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2737627Z [2022-11-23 01:26:42,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2737932Z [2022-11-23 01:26:42,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2738200Z [2022-11-23 01:26:42,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2738448Z [2022-11-23 01:26:42,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2739024Z [2022-11-23 01:26:42,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656>
2022-11-23T01:32:30.2739281Z [2022-11-23 01:26:42,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2739516Z [2022-11-23 01:26:42,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2739769Z [2022-11-23 01:26:42,106] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2740021Z [2022-11-23 01:26:42,110] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2740208Z [2022-11-23 01:26:42,110] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2740351Z  __compiled_fn_207 <eval_with_key>.1289 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2740446Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2740685Z call_function, signbit, <built-in method signbit of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2740856Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T01:32:30.2741088Z call_function, signbit_1, <built-in method signbit of type object at 0x7f209c394c60>, (neg,), {}
2022-11-23T01:32:30.2741278Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T01:32:30.2741456Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T01:32:30.2741563Z output, output, output, ((signbit, and_),), {}
2022-11-23T01:32:30.2741568Z 
2022-11-23T01:32:30.2741890Z [2022-11-23 01:26:42,110] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2741994Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2742092Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2742189Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2742293Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2742387Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2742482Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2742559Z              12 RETURN_VALUE
2022-11-23T01:32:30.2742564Z 
2022-11-23T01:32:30.2742631Z  
2022-11-23T01:32:30.2742957Z [2022-11-23 01:26:42,110] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2743078Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_207)
2022-11-23T01:32:30.2743177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2743274Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2743409Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2743506Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2743612Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2743751Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2743848Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2743931Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2744038Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2744133Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2744215Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2744303Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2744386Z              26 RETURN_VALUE
2022-11-23T01:32:30.2744391Z 
2022-11-23T01:32:30.2744457Z  
2022-11-23T01:32:30.2744647Z [2022-11-23 01:26:42,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2744726Z  - 
2022-11-23T01:32:30.2744851Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2744922Z             {
2022-11-23T01:32:30.2745060Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2745251Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2745379Z                 'obj_weakref': None
2022-11-23T01:32:30.2745605Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2745675Z             }
2022-11-23T01:32:30.2745744Z             
2022-11-23T01:32:30.2745818Z  - 
2022-11-23T01:32:30.2745940Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2746010Z             {
2022-11-23T01:32:30.2746159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2746272Z                 'code': None,
2022-11-23T01:32:30.2746485Z                 'obj_weakref': <weakref at 0x7f20682c6430; to 'Tensor' at 0x7f2115f5a0c0>
2022-11-23T01:32:30.2746739Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2746809Z             }
2022-11-23T01:32:30.2746872Z             
2022-11-23T01:32:30.2746947Z  - 
2022-11-23T01:32:30.2747082Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2747159Z             {
2022-11-23T01:32:30.2747301Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2747478Z                 'code': ['___check_obj_id(model, 139776001398320)'],
2022-11-23T01:32:30.2747604Z                 'obj_weakref': None
2022-11-23T01:32:30.2747827Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2747897Z             }
2022-11-23T01:32:30.2747967Z             
2022-11-23T01:32:30.2748043Z  - 
2022-11-23T01:32:30.2748168Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2748239Z             {
2022-11-23T01:32:30.2748379Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2748593Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2748717Z                 'obj_weakref': None
2022-11-23T01:32:30.2748944Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2749016Z             }
2022-11-23T01:32:30.2749085Z             
2022-11-23T01:32:30.2749164Z  - 
2022-11-23T01:32:30.2749303Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2749366Z             {
2022-11-23T01:32:30.2749492Z                 'guard_types': None,
2022-11-23T01:32:30.2749605Z                 'code': None,
2022-11-23T01:32:30.2749729Z                 'obj_weakref': None
2022-11-23T01:32:30.2749857Z                 'guarded_class': None
2022-11-23T01:32:30.2749928Z             }
2022-11-23T01:32:30.2749996Z             
2022-11-23T01:32:30.2750322Z [2022-11-23 01:26:42,117] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200
2022-11-23T01:32:30.2750739Z [2022-11-23 01:26:43,680] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/charzhvtdaj5d6oegg43tpleissvc465673ni6ckbz5nkeb3xpa4.py
2022-11-23T01:32:30.2751011Z [2022-11-23 01:26:43,680] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200
2022-11-23T01:32:30.2751042Z 
2022-11-23T01:32:30.2751142Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2751216Z import torch
2022-11-23T01:32:30.2751291Z import random
2022-11-23T01:32:30.2751414Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2751544Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2751550Z 
2022-11-23T01:32:30.2751627Z aten = torch.ops.aten
2022-11-23T01:32:30.2751769Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2751866Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2751871Z 
2022-11-23T01:32:30.2751950Z import triton
2022-11-23T01:32:30.2752044Z import triton.language as tl
2022-11-23T01:32:30.2752174Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2752318Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2752323Z 
2022-11-23T01:32:30.2752328Z 
2022-11-23T01:32:30.2752468Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2752674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2752799Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2752906Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:30.2753011Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.2753077Z {
2022-11-23T01:32:30.2753183Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2753250Z     {
2022-11-23T01:32:30.2753327Z         #pragma omp for 
2022-11-23T01:32:30.2753416Z         for(long i0=0; i0<72; i0+=1)
2022-11-23T01:32:30.2753485Z         {
2022-11-23T01:32:30.2753555Z             {
2022-11-23T01:32:30.2753625Z                 {
2022-11-23T01:32:30.2753731Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2753842Z                     auto tmp1 = std::signbit(tmp0);
2022-11-23T01:32:30.2753963Z                     auto tmp2 = -tmp0;
2022-11-23T01:32:30.2754077Z                     auto tmp3 = std::signbit(tmp2);
2022-11-23T01:32:30.2754174Z                     auto tmp4 = tmp3 == 0;
2022-11-23T01:32:30.2754288Z                     auto tmp5 = static_cast<long>(tmp4);
2022-11-23T01:32:30.2754404Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:32:30.2754500Z                     auto tmp7 = tmp5 & tmp6;
2022-11-23T01:32:30.2754592Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.2754676Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:32:30.2754748Z                 }
2022-11-23T01:32:30.2754816Z             }
2022-11-23T01:32:30.2754886Z         }
2022-11-23T01:32:30.2754956Z     }
2022-11-23T01:32:30.2755022Z }
2022-11-23T01:32:30.2755101Z ''')
2022-11-23T01:32:30.2755114Z 
2022-11-23T01:32:30.2755119Z 
2022-11-23T01:32:30.2755210Z async_compile.wait(globals())
2022-11-23T01:32:30.2755290Z del async_compile
2022-11-23T01:32:30.2755295Z 
2022-11-23T01:32:30.2755372Z def call(args):
2022-11-23T01:32:30.2755447Z     arg0_1, = args
2022-11-23T01:32:30.2755526Z     args.clear()
2022-11-23T01:32:30.2755734Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.2755942Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.2756105Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2756181Z     del arg0_1
2022-11-23T01:32:30.2756266Z     return (buf0, buf1, )
2022-11-23T01:32:30.2756271Z 
2022-11-23T01:32:30.2756276Z 
2022-11-23T01:32:30.2756358Z if __name__ == "__main__":
2022-11-23T01:32:30.2756479Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2756607Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2756848Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2756965Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2756970Z 
2022-11-23T01:32:30.2757062Z ok (1.585s)
2022-11-23T01:32:30.2757360Z   test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2757675Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2757895Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2758147Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2758425Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2758742Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2759082Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2759403Z [2022-11-23 01:26:43,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2759771Z [2022-11-23 01:26:43,685] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036> 
2022-11-23T01:32:30.2759868Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2759967Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:30.2760076Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:30.2760180Z                6 LOAD_METHOD              3 (silu)
2022-11-23T01:32:30.2760278Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2760373Z               10 CALL_METHOD              1
2022-11-23T01:32:30.2760472Z               12 BUILD_TUPLE              1
2022-11-23T01:32:30.2760556Z               14 RETURN_VALUE
2022-11-23T01:32:30.2760616Z  
2022-11-23T01:32:30.2760622Z 
2022-11-23T01:32:30.2760931Z [2022-11-23 01:26:43,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037
2022-11-23T01:32:30.2761155Z [2022-11-23 01:26:43,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2761508Z [2022-11-23 01:26:43,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2761909Z [2022-11-23 01:26:43,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:30.2762322Z [2022-11-23 01:26:43,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.2762609Z [2022-11-23 01:26:43,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7f2073d57640>)]
2022-11-23T01:32:30.2762921Z [2022-11-23 01:26:43,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7f2073d57640>), TensorVariable()]
2022-11-23T01:32:30.2763169Z [2022-11-23 01:26:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.2763413Z [2022-11-23 01:26:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2763803Z [2022-11-23 01:26:43,688] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036>
2022-11-23T01:32:30.2764075Z [2022-11-23 01:26:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2764315Z [2022-11-23 01:26:43,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2764574Z [2022-11-23 01:26:43,689] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2764825Z [2022-11-23 01:26:43,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2765021Z [2022-11-23 01:26:43,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2765164Z  __compiled_fn_208 <eval_with_key>.1295 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2765261Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2765397Z call_function, silu, <function silu at 0x7f2073d57640>, (ex_0_,), {}
2022-11-23T01:32:30.2765492Z output, output, output, ((silu,),), {}
2022-11-23T01:32:30.2765497Z 
2022-11-23T01:32:30.2765829Z [2022-11-23 01:26:43,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2765931Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2766030Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2766124Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2766225Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2766321Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2766418Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2766494Z              12 RETURN_VALUE
2022-11-23T01:32:30.2766499Z 
2022-11-23T01:32:30.2766565Z  
2022-11-23T01:32:30.2766896Z [2022-11-23 01:26:43,692] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2767014Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_208)
2022-11-23T01:32:30.2767113Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2767210Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2767294Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2767382Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2767493Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2767604Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2767701Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2767785Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2767878Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.2767963Z              20 RETURN_VALUE
2022-11-23T01:32:30.2767968Z 
2022-11-23T01:32:30.2768034Z  
2022-11-23T01:32:30.2768219Z [2022-11-23 01:26:43,693] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2768295Z  - 
2022-11-23T01:32:30.2768421Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2768491Z             {
2022-11-23T01:32:30.2768641Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2768831Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2768957Z                 'obj_weakref': None
2022-11-23T01:32:30.2769174Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2769247Z             }
2022-11-23T01:32:30.2769317Z             
2022-11-23T01:32:30.2769393Z  - 
2022-11-23T01:32:30.2769523Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2769593Z             {
2022-11-23T01:32:30.2769744Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2769849Z                 'code': None,
2022-11-23T01:32:30.2770104Z                 'obj_weakref': <weakref at 0x7f20726c0630; to 'Tensor' at 0x7f2022eacae0>
2022-11-23T01:32:30.2770358Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2770457Z             }
2022-11-23T01:32:30.2770527Z             
2022-11-23T01:32:30.2770603Z  - 
2022-11-23T01:32:30.2770738Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2770801Z             {
2022-11-23T01:32:30.2770942Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2771117Z                 'code': ['___check_obj_id(model, 139776003459392)'],
2022-11-23T01:32:30.2771242Z                 'obj_weakref': None
2022-11-23T01:32:30.2771472Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2771541Z             }
2022-11-23T01:32:30.2771610Z             
2022-11-23T01:32:30.2771679Z  - 
2022-11-23T01:32:30.2771805Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2771874Z             {
2022-11-23T01:32:30.2772034Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2772291Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2772417Z                 'obj_weakref': None
2022-11-23T01:32:30.2772642Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2772705Z             }
2022-11-23T01:32:30.2772773Z             
2022-11-23T01:32:30.2772849Z  - 
2022-11-23T01:32:30.2772988Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2773057Z             {
2022-11-23T01:32:30.2773184Z                 'guard_types': None,
2022-11-23T01:32:30.2773297Z                 'code': None,
2022-11-23T01:32:30.2773414Z                 'obj_weakref': None
2022-11-23T01:32:30.2773540Z                 'guarded_class': None
2022-11-23T01:32:30.2773612Z             }
2022-11-23T01:32:30.2773681Z             
2022-11-23T01:32:30.2773947Z [2022-11-23 01:26:43,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201
2022-11-23T01:32:30.2774309Z [2022-11-23 01:26:45,240] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq35xxytpu7ncpbrwek6q7et7u234wjaz5j4kkvivw2neguc4t6n.py
2022-11-23T01:32:30.2774582Z [2022-11-23 01:26:45,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201
2022-11-23T01:32:30.2774588Z 
2022-11-23T01:32:30.2774691Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2774759Z import torch
2022-11-23T01:32:30.2774835Z import random
2022-11-23T01:32:30.2774956Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2775082Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2775088Z 
2022-11-23T01:32:30.2775171Z aten = torch.ops.aten
2022-11-23T01:32:30.2775308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2775405Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2775411Z 
2022-11-23T01:32:30.2775481Z import triton
2022-11-23T01:32:30.2775574Z import triton.language as tl
2022-11-23T01:32:30.2775705Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2775847Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2775855Z 
2022-11-23T01:32:30.2775859Z 
2022-11-23T01:32:30.2775997Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2776205Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2776332Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2776439Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2776499Z {
2022-11-23T01:32:30.2776606Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2776674Z     {
2022-11-23T01:32:30.2776756Z         #pragma omp for 
2022-11-23T01:32:30.2776845Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2776913Z         {
2022-11-23T01:32:30.2777089Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2777228Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:30.2777320Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.2777485Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2777554Z         }
2022-11-23T01:32:30.2777654Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2777751Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2777821Z         {
2022-11-23T01:32:30.2777905Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2778045Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:30.2778133Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:30.2778224Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:30.2778310Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.2778379Z         }
2022-11-23T01:32:30.2778446Z     }
2022-11-23T01:32:30.2778505Z }
2022-11-23T01:32:30.2778595Z ''')
2022-11-23T01:32:30.2778601Z 
2022-11-23T01:32:30.2778610Z 
2022-11-23T01:32:30.2778704Z async_compile.wait(globals())
2022-11-23T01:32:30.2778980Z del async_compile
2022-11-23T01:32:30.2778986Z 
2022-11-23T01:32:30.2779064Z def call(args):
2022-11-23T01:32:30.2779144Z     arg0_1, = args
2022-11-23T01:32:30.2779221Z     args.clear()
2022-11-23T01:32:30.2779414Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2779556Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2779630Z     del arg0_1
2022-11-23T01:32:30.2779706Z     return (buf0, )
2022-11-23T01:32:30.2779711Z 
2022-11-23T01:32:30.2779716Z 
2022-11-23T01:32:30.2779797Z if __name__ == "__main__":
2022-11-23T01:32:30.2779917Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2780047Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2780247Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2780356Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2780361Z 
2022-11-23T01:32:30.2780433Z ok (1.560s)
2022-11-23T01:32:30.2780746Z   test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2781067Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2781284Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2781540Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2781817Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2782138Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2782478Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2782788Z [2022-11-23 01:26:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2783151Z [2022-11-23 01:26:45,247] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281> 
2022-11-23T01:32:30.2783251Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2783350Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.2783429Z                4 BINARY_ADD
2022-11-23T01:32:30.2783510Z                6 RETURN_VALUE
2022-11-23T01:32:30.2783577Z  
2022-11-23T01:32:30.2783582Z 
2022-11-23T01:32:30.2783938Z [2022-11-23 01:26:45,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282
2022-11-23T01:32:30.2784155Z [2022-11-23 01:26:45,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.2784416Z [2022-11-23 01:26:45,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.2784688Z [2022-11-23 01:26:45,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2784932Z [2022-11-23 01:26:45,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2785298Z [2022-11-23 01:26:45,248] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281>
2022-11-23T01:32:30.2785547Z [2022-11-23 01:26:45,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2785784Z [2022-11-23 01:26:45,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2786039Z [2022-11-23 01:26:45,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2786290Z [2022-11-23 01:26:45,251] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2786489Z [2022-11-23 01:26:45,251] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2786622Z  __compiled_fn_209 <eval_with_key>.1301 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2786716Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2786809Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.2786994Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.2787093Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.2787099Z 
2022-11-23T01:32:30.2787427Z [2022-11-23 01:26:45,252] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2787527Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2787628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2787718Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2787818Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2787911Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2788005Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2788089Z              12 RETURN_VALUE
2022-11-23T01:32:30.2788094Z 
2022-11-23T01:32:30.2788164Z  
2022-11-23T01:32:30.2788490Z [2022-11-23 01:26:45,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2788607Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_209)
2022-11-23T01:32:30.2788700Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2788796Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2788878Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2788973Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2789073Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2789154Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.2789250Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.2789340Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2789420Z              18 RETURN_VALUE
2022-11-23T01:32:30.2789425Z 
2022-11-23T01:32:30.2789490Z  
2022-11-23T01:32:30.2789680Z [2022-11-23 01:26:45,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2789755Z  - 
2022-11-23T01:32:30.2789881Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2789951Z             {
2022-11-23T01:32:30.2790091Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2790400Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.2790549Z                 'obj_weakref': None
2022-11-23T01:32:30.2790812Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2790912Z             }
2022-11-23T01:32:30.2790980Z             
2022-11-23T01:32:30.2791058Z  - 
2022-11-23T01:32:30.2791182Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2791251Z             {
2022-11-23T01:32:30.2791398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2791531Z                 'code': None,
2022-11-23T01:32:30.2791772Z                 'obj_weakref': <weakref at 0x7f2023059170; to 'Tensor' at 0x7f20726fcbd0>
2022-11-23T01:32:30.2792027Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2792098Z             }
2022-11-23T01:32:30.2792160Z             
2022-11-23T01:32:30.2792235Z  - 
2022-11-23T01:32:30.2792367Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.2792435Z             {
2022-11-23T01:32:30.2792584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2792696Z                 'code': None,
2022-11-23T01:32:30.2792908Z                 'obj_weakref': <weakref at 0x7f2023102c50; to 'Tensor' at 0x7f2151eee4d0>
2022-11-23T01:32:30.2793146Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2793216Z             }
2022-11-23T01:32:30.2793285Z             
2022-11-23T01:32:30.2793359Z  - 
2022-11-23T01:32:30.2793495Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2793563Z             {
2022-11-23T01:32:30.2793703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2793873Z                 'code': ['___check_obj_id(model, 139776003459392)'],
2022-11-23T01:32:30.2793997Z                 'obj_weakref': None
2022-11-23T01:32:30.2794230Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2794299Z             }
2022-11-23T01:32:30.2794368Z             
2022-11-23T01:32:30.2794443Z  - 
2022-11-23T01:32:30.2794571Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2794637Z             {
2022-11-23T01:32:30.2794779Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2794999Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2795123Z                 'obj_weakref': None
2022-11-23T01:32:30.2795354Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2795423Z             }
2022-11-23T01:32:30.2795491Z             
2022-11-23T01:32:30.2795748Z [2022-11-23 01:26:45,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202
2022-11-23T01:32:30.2796119Z [2022-11-23 01:26:46,814] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pr/cprt3jbtjzvmtcdkyo57u63eewr7lzbbvawq3ogrr6qoa5gyviqa.py
2022-11-23T01:32:30.2796389Z [2022-11-23 01:26:46,815] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202
2022-11-23T01:32:30.2796397Z 
2022-11-23T01:32:30.2796497Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2796571Z import torch
2022-11-23T01:32:30.2796645Z import random
2022-11-23T01:32:30.2796767Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2796893Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2796899Z 
2022-11-23T01:32:30.2796976Z aten = torch.ops.aten
2022-11-23T01:32:30.2797115Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2797212Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2797217Z 
2022-11-23T01:32:30.2797291Z import triton
2022-11-23T01:32:30.2797383Z import triton.language as tl
2022-11-23T01:32:30.2797510Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2797684Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2797690Z 
2022-11-23T01:32:30.2797695Z 
2022-11-23T01:32:30.2797836Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2798037Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2798188Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2798302Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.2798408Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2798476Z {
2022-11-23T01:32:30.2798579Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2798646Z     {
2022-11-23T01:32:30.2798734Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2798822Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.2798891Z         {
2022-11-23T01:32:30.2798981Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.2799049Z             {
2022-11-23T01:32:30.2805420Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:32:30.2805511Z                 {
2022-11-23T01:32:30.2805678Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T01:32:30.2805840Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1));
2022-11-23T01:32:30.2805940Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2806059Z                     tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T01:32:30.2806130Z                 }
2022-11-23T01:32:30.2806235Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.2806331Z                 for(long i2=24; i2<30; i2+=1)
2022-11-23T01:32:30.2806401Z                 {
2022-11-23T01:32:30.2806508Z                     auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)];
2022-11-23T01:32:30.2806621Z                     auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)];
2022-11-23T01:32:30.2806719Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2806829Z                     out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2;
2022-11-23T01:32:30.2806900Z                 }
2022-11-23T01:32:30.2806968Z             }
2022-11-23T01:32:30.2807038Z         }
2022-11-23T01:32:30.2807102Z     }
2022-11-23T01:32:30.2807167Z }
2022-11-23T01:32:30.2807267Z ''')
2022-11-23T01:32:30.2807272Z 
2022-11-23T01:32:30.2807277Z 
2022-11-23T01:32:30.2807373Z async_compile.wait(globals())
2022-11-23T01:32:30.2807453Z del async_compile
2022-11-23T01:32:30.2807458Z 
2022-11-23T01:32:30.2807536Z def call(args):
2022-11-23T01:32:30.2807618Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.2807689Z     args.clear()
2022-11-23T01:32:30.2807916Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2808085Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2808160Z     del arg0_1
2022-11-23T01:32:30.2808232Z     del arg1_1
2022-11-23T01:32:30.2808310Z     return (buf0, )
2022-11-23T01:32:30.2808315Z 
2022-11-23T01:32:30.2808320Z 
2022-11-23T01:32:30.2808402Z if __name__ == "__main__":
2022-11-23T01:32:30.2808523Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2808648Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2808872Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2809092Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2809215Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.2809220Z 
2022-11-23T01:32:30.2809292Z ok (1.574s)
2022-11-23T01:32:30.2809587Z   test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2809961Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2810187Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2810439Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2810733Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2811047Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2811385Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2811703Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2812097Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143> 
2022-11-23T01:32:30.2812218Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2812331Z                2 LOAD_METHOD              1 (sin)
2022-11-23T01:32:30.2812430Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2812525Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2812616Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.2812696Z               10 BINARY_ADD
2022-11-23T01:32:30.2812794Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.2812891Z               14 LOAD_METHOD              1 (sin)
2022-11-23T01:32:30.2812987Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2813082Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2813163Z               20 BINARY_ADD
2022-11-23T01:32:30.2813251Z               22 CALL_METHOD              1
2022-11-23T01:32:30.2813346Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.2813428Z               26 RETURN_VALUE
2022-11-23T01:32:30.2813498Z  
2022-11-23T01:32:30.2813503Z 
2022-11-23T01:32:30.2813813Z [2022-11-23 01:26:46,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144
2022-11-23T01:32:30.2814034Z [2022-11-23 01:26:46,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.2814334Z [2022-11-23 01:26:46,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2814580Z [2022-11-23 01:26:46,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T01:32:30.2814864Z [2022-11-23 01:26:46,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:30.2815095Z [2022-11-23 01:26:46,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.2815372Z [2022-11-23 01:26:46,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2815620Z [2022-11-23 01:26:46,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.2815943Z [2022-11-23 01:26:46,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.2816212Z [2022-11-23 01:26:46,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T01:32:30.2816514Z [2022-11-23 01:26:46,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:30.2816895Z [2022-11-23 01:26:46,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2817205Z [2022-11-23 01:26:46,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:30.2817496Z [2022-11-23 01:26:46,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2817746Z [2022-11-23 01:26:46,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2818115Z [2022-11-23 01:26:46,834] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143>
2022-11-23T01:32:30.2818359Z [2022-11-23 01:26:46,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2818605Z [2022-11-23 01:26:46,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2819113Z [2022-11-23 01:26:46,836] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2819380Z [2022-11-23 01:26:46,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2819576Z [2022-11-23 01:26:46,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2819718Z  __compiled_fn_210 <eval_with_key>.1307 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2819816Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2819923Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T01:32:30.2820091Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T01:32:30.2820268Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2820376Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T01:32:30.2820488Z output, output, output, ((add, sin_1),), {}
2022-11-23T01:32:30.2820494Z 
2022-11-23T01:32:30.2820816Z [2022-11-23 01:26:46,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2820921Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2821018Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2821111Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2821203Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2821295Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2821390Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2821471Z              12 RETURN_VALUE
2022-11-23T01:32:30.2821477Z 
2022-11-23T01:32:30.2821545Z  
2022-11-23T01:32:30.2821865Z [2022-11-23 01:26:46,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2821983Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_210)
2022-11-23T01:32:30.2822072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2822170Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2822256Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2822350Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2822460Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2822569Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2822666Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2822741Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2822846Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2822940Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2823021Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2823114Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2823194Z              26 RETURN_VALUE
2022-11-23T01:32:30.2823265Z 
2022-11-23T01:32:30.2823333Z  
2022-11-23T01:32:30.2823521Z [2022-11-23 01:26:46,840] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2823590Z  - 
2022-11-23T01:32:30.2823742Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2823812Z             {
2022-11-23T01:32:30.2823958Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2824147Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2824272Z                 'obj_weakref': None
2022-11-23T01:32:30.2824497Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2824560Z             }
2022-11-23T01:32:30.2824629Z             
2022-11-23T01:32:30.2824705Z  - 
2022-11-23T01:32:30.2824832Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2824901Z             {
2022-11-23T01:32:30.2825045Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2825153Z                 'code': None,
2022-11-23T01:32:30.2825363Z                 'obj_weakref': <weakref at 0x7f20726c2390; to 'Tensor' at 0x7f2022f30860>
2022-11-23T01:32:30.2825612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2825682Z             }
2022-11-23T01:32:30.2825751Z             
2022-11-23T01:32:30.2825826Z  - 
2022-11-23T01:32:30.2825959Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2826028Z             {
2022-11-23T01:32:30.2826159Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2826334Z                 'code': ['___check_obj_id(model, 139776003459392)'],
2022-11-23T01:32:30.2826456Z                 'obj_weakref': None
2022-11-23T01:32:30.2826685Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2826755Z             }
2022-11-23T01:32:30.2826824Z             
2022-11-23T01:32:30.2826899Z  - 
2022-11-23T01:32:30.2827018Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2827087Z             {
2022-11-23T01:32:30.2827226Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2827442Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2827569Z                 'obj_weakref': None
2022-11-23T01:32:30.2827793Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2827860Z             }
2022-11-23T01:32:30.2827922Z             
2022-11-23T01:32:30.2827997Z  - 
2022-11-23T01:32:30.2828134Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.2828205Z             {
2022-11-23T01:32:30.2828330Z                 'guard_types': None,
2022-11-23T01:32:30.2828442Z                 'code': None,
2022-11-23T01:32:30.2828556Z                 'obj_weakref': None
2022-11-23T01:32:30.2828680Z                 'guarded_class': None
2022-11-23T01:32:30.2828750Z             }
2022-11-23T01:32:30.2828819Z             
2022-11-23T01:32:30.2829080Z [2022-11-23 01:26:46,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203
2022-11-23T01:32:30.2829437Z [2022-11-23 01:26:48,390] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rj/crj5baum2z5kvrl3qh7fn6loeba7yxcipy73e3xynskg7xaoncg5.py
2022-11-23T01:32:30.2829703Z [2022-11-23 01:26:48,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203
2022-11-23T01:32:30.2829709Z 
2022-11-23T01:32:30.2829809Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2829876Z import torch
2022-11-23T01:32:30.2829950Z import random
2022-11-23T01:32:30.2830072Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2830197Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2830202Z 
2022-11-23T01:32:30.2830557Z aten = torch.ops.aten
2022-11-23T01:32:30.2830698Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2830838Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2830844Z 
2022-11-23T01:32:30.2830922Z import triton
2022-11-23T01:32:30.2831009Z import triton.language as tl
2022-11-23T01:32:30.2831159Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2831302Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2831307Z 
2022-11-23T01:32:30.2831312Z 
2022-11-23T01:32:30.2831453Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2831661Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2831785Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2831893Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2831999Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2832058Z {
2022-11-23T01:32:30.2832162Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2832229Z     {
2022-11-23T01:32:30.2832314Z         #pragma omp for 
2022-11-23T01:32:30.2832404Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.2832475Z         {
2022-11-23T01:32:30.2832617Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.2832705Z             auto tmp1 = tmp0.sin();
2022-11-23T01:32:30.2832847Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.2832938Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.2833078Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2833168Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.2833257Z             auto tmp6 = tmp5.sin();
2022-11-23T01:32:30.2833353Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2833442Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2833511Z         }
2022-11-23T01:32:30.2833612Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2833702Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.2833772Z         {
2022-11-23T01:32:30.2833863Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.2833958Z             auto tmp1 = std::sin(tmp0);
2022-11-23T01:32:30.2834057Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:30.2834150Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.2834255Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:30.2834349Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:30.2834442Z             auto tmp6 = std::sin(tmp5);
2022-11-23T01:32:30.2834527Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.2834611Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.2834672Z         }
2022-11-23T01:32:30.2834739Z     }
2022-11-23T01:32:30.2834802Z }
2022-11-23T01:32:30.2834889Z ''')
2022-11-23T01:32:30.2834895Z 
2022-11-23T01:32:30.2834900Z 
2022-11-23T01:32:30.2834994Z async_compile.wait(globals())
2022-11-23T01:32:30.2835072Z del async_compile
2022-11-23T01:32:30.2835077Z 
2022-11-23T01:32:30.2835156Z def call(args):
2022-11-23T01:32:30.2835224Z     arg0_1, = args
2022-11-23T01:32:30.2835299Z     args.clear()
2022-11-23T01:32:30.2835508Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2835712Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2835883Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2835957Z     del arg0_1
2022-11-23T01:32:30.2836038Z     return (buf0, buf1, )
2022-11-23T01:32:30.2836044Z 
2022-11-23T01:32:30.2836048Z 
2022-11-23T01:32:30.2836130Z if __name__ == "__main__":
2022-11-23T01:32:30.2836243Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2836373Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2836573Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2836688Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2836726Z 
2022-11-23T01:32:30.2836800Z ok (1.575s)
2022-11-23T01:32:30.2837116Z   test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2837450Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2837667Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2837918Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2838187Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2838508Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2838859Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2839184Z [2022-11-23 01:26:48,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2839566Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498> 
2022-11-23T01:32:30.2839670Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2839769Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:30.2839878Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:30.2839976Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T01:32:30.2839982Z 
2022-11-23T01:32:30.2840073Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.2840170Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:30.2840266Z               12 LOAD_CONST               1 (4)
2022-11-23T01:32:30.2840360Z               14 BUILD_LIST               2
2022-11-23T01:32:30.2840458Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2840551Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.2840645Z               20 LOAD_CONST               1 (4)
2022-11-23T01:32:30.2840734Z               22 LOAD_CONST               1 (4)
2022-11-23T01:32:30.2840829Z               24 BUILD_LIST               2
2022-11-23T01:32:30.2840834Z 
2022-11-23T01:32:30.2841050Z 4499          26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T01:32:30.2841147Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.2841229Z               30 RETURN_VALUE
2022-11-23T01:32:30.2841295Z  
2022-11-23T01:32:30.2841300Z 
2022-11-23T01:32:30.2841637Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:30.2841890Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2842259Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2842630Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:30.2843027Z [2022-11-23 01:26:48,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.2843377Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500
2022-11-23T01:32:30.2843670Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7f2073bc5120>)]
2022-11-23T01:32:30.2844007Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable()]
2022-11-23T01:32:30.2844353Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2844740Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2845072Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.2845434Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2845845Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2846278Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2846755Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.2847066Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:30.2847563Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:30.2848041Z [2022-11-23 01:26:48,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.2848283Z [2022-11-23 01:26:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2848669Z [2022-11-23 01:26:48,407] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498>
2022-11-23T01:32:30.2848922Z [2022-11-23 01:26:48,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.2849160Z [2022-11-23 01:26:48,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2849423Z [2022-11-23 01:26:48,408] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2849676Z [2022-11-23 01:26:48,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2849868Z [2022-11-23 01:26:48,416] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2850008Z  __compiled_fn_211 <eval_with_key>.1313 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2850103Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2850415Z call_function, unfold, <function unfold at 0x7f2073bc5120>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T01:32:30.2850517Z output, output, output, ((unfold,),), {}
2022-11-23T01:32:30.2850543Z 
2022-11-23T01:32:30.2850870Z [2022-11-23 01:26:48,416] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2850971Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2851069Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2851163Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2851263Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2851354Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2851449Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2851524Z              12 RETURN_VALUE
2022-11-23T01:32:30.2851529Z 
2022-11-23T01:32:30.2851594Z  
2022-11-23T01:32:30.2851924Z [2022-11-23 01:26:48,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2852062Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_211)
2022-11-23T01:32:30.2852172Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2852287Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2852369Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2852455Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2852552Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.2852634Z              12 RETURN_VALUE
2022-11-23T01:32:30.2852639Z 
2022-11-23T01:32:30.2852705Z  
2022-11-23T01:32:30.2852892Z [2022-11-23 01:26:48,417] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2852970Z  - 
2022-11-23T01:32:30.2853096Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2853159Z             {
2022-11-23T01:32:30.2853306Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2853498Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2853621Z                 'obj_weakref': None
2022-11-23T01:32:30.2853850Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2853919Z             }
2022-11-23T01:32:30.2853987Z             
2022-11-23T01:32:30.2854055Z  - 
2022-11-23T01:32:30.2854184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2854255Z             {
2022-11-23T01:32:30.2854402Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2854512Z                 'code': None,
2022-11-23T01:32:30.2854720Z                 'obj_weakref': <weakref at 0x7f206017a840; to 'Tensor' at 0x7f20726c16c0>
2022-11-23T01:32:30.2854971Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2855041Z             }
2022-11-23T01:32:30.2855106Z             
2022-11-23T01:32:30.2855182Z  - 
2022-11-23T01:32:30.2855318Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2855386Z             {
2022-11-23T01:32:30.2855527Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2855704Z                 'code': ['___check_obj_id(model, 139776003459392)'],
2022-11-23T01:32:30.2855821Z                 'obj_weakref': None
2022-11-23T01:32:30.2856052Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2856122Z             }
2022-11-23T01:32:30.2856190Z             
2022-11-23T01:32:30.2856264Z  - 
2022-11-23T01:32:30.2856390Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2856459Z             {
2022-11-23T01:32:30.2856593Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2856815Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2856972Z                 'obj_weakref': None
2022-11-23T01:32:30.2857196Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2857268Z             }
2022-11-23T01:32:30.2857358Z             
2022-11-23T01:32:30.2857434Z  - 
2022-11-23T01:32:30.2857566Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2857635Z             {
2022-11-23T01:32:30.2857761Z                 'guard_types': None,
2022-11-23T01:32:30.2857873Z                 'code': None,
2022-11-23T01:32:30.2857996Z                 'obj_weakref': None
2022-11-23T01:32:30.2858121Z                 'guarded_class': None
2022-11-23T01:32:30.2858190Z             }
2022-11-23T01:32:30.2858251Z             
2022-11-23T01:32:30.2858511Z [2022-11-23 01:26:48,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204
2022-11-23T01:32:30.2859065Z [2022-11-23 01:26:50,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cficg37bqljqrldqwqj7bgdw7eufge3gqnam2bki65pj5j73qrde.py
2022-11-23T01:32:30.2859335Z [2022-11-23 01:26:50,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204
2022-11-23T01:32:30.2859340Z 
2022-11-23T01:32:30.2859446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2859520Z import torch
2022-11-23T01:32:30.2859595Z import random
2022-11-23T01:32:30.2859716Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2859836Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2859842Z 
2022-11-23T01:32:30.2859924Z aten = torch.ops.aten
2022-11-23T01:32:30.2860067Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2860167Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2860172Z 
2022-11-23T01:32:30.2860248Z import triton
2022-11-23T01:32:30.2860342Z import triton.language as tl
2022-11-23T01:32:30.2860469Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2860615Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2860621Z 
2022-11-23T01:32:30.2860626Z 
2022-11-23T01:32:30.2860756Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2860967Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2861097Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2861204Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.2861269Z {
2022-11-23T01:32:30.2861371Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2861441Z     {
2022-11-23T01:32:30.2861517Z         #pragma omp for 
2022-11-23T01:32:30.2861606Z         for(long i0=0; i0<48; i0+=1)
2022-11-23T01:32:30.2861675Z         {
2022-11-23T01:32:30.2861760Z             #pragma GCC ivdep
2022-11-23T01:32:30.2861852Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.2861920Z             {
2022-11-23T01:32:30.2862010Z                 #pragma GCC ivdep
2022-11-23T01:32:30.2862100Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:30.2862171Z                 {
2022-11-23T01:32:30.2862262Z                     #pragma GCC ivdep
2022-11-23T01:32:30.2862361Z                     for(long i3=0; i3<14; i3+=1)
2022-11-23T01:32:30.2862436Z                     {
2022-11-23T01:32:30.2862528Z                         #pragma GCC ivdep
2022-11-23T01:32:30.2862627Z                         for(long i4=0; i4<14; i4+=1)
2022-11-23T01:32:30.2862695Z                         {
2022-11-23T01:32:30.2862771Z                             {
2022-11-23T01:32:30.2862849Z                                 {
2022-11-23T01:32:30.2862972Z                                     auto tmp0 = static_cast<long>(4*i3);
2022-11-23T01:32:30.2863095Z                                     auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:30.2863205Z                                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2863328Z                                     auto tmp3 = static_cast<long>(4*i4);
2022-11-23T01:32:30.2863489Z                                     auto tmp4 = static_cast<long>(i2);
2022-11-23T01:32:30.2863600Z                                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.2863728Z                                     auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)];
2022-11-23T01:32:30.2863885Z                                     out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6;
2022-11-23T01:32:30.2863964Z                                 }
2022-11-23T01:32:30.2864040Z                             }
2022-11-23T01:32:30.2864115Z                         }
2022-11-23T01:32:30.2864187Z                     }
2022-11-23T01:32:30.2864250Z                 }
2022-11-23T01:32:30.2864317Z             }
2022-11-23T01:32:30.2864385Z         }
2022-11-23T01:32:30.2864452Z     }
2022-11-23T01:32:30.2864517Z }
2022-11-23T01:32:30.2864604Z ''')
2022-11-23T01:32:30.2864610Z 
2022-11-23T01:32:30.2864614Z 
2022-11-23T01:32:30.2864708Z async_compile.wait(globals())
2022-11-23T01:32:30.2864779Z del async_compile
2022-11-23T01:32:30.2864787Z 
2022-11-23T01:32:30.2864864Z def call(args):
2022-11-23T01:32:30.2864939Z     arg0_1, = args
2022-11-23T01:32:30.2865015Z     args.clear()
2022-11-23T01:32:30.2865264Z     buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2865411Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.2865484Z     del arg0_1
2022-11-23T01:32:30.2865591Z     return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), )
2022-11-23T01:32:30.2865597Z 
2022-11-23T01:32:30.2865609Z 
2022-11-23T01:32:30.2865684Z if __name__ == "__main__":
2022-11-23T01:32:30.2865803Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2865931Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2866156Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2866274Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2866279Z 
2022-11-23T01:32:30.2866352Z ok (1.815s)
2022-11-23T01:32:30.2866655Z   test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2866975Z [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2867189Z [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2867446Z [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2867725Z [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2868039Z [2022-11-23 01:26:50,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2868380Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2868698Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2869061Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673> 
2022-11-23T01:32:30.2869161Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2869261Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2869350Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2869445Z                6 BUILD_SLICE              2
2022-11-23T01:32:30.2869544Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2869685Z               10 LOAD_CONST               1 (10)
2022-11-23T01:32:30.2869779Z               12 BUILD_SLICE              2
2022-11-23T01:32:30.2869877Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2869994Z               16 BUILD_TUPLE              3
2022-11-23T01:32:30.2870072Z               18 BINARY_SUBSCR
2022-11-23T01:32:30.2870168Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2870429Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2870540Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2870648Z               26 BUILD_SLICE              2
2022-11-23T01:32:30.2870760Z               28 LOAD_CONST               1 (10)
2022-11-23T01:32:30.2870870Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2870977Z               32 BUILD_SLICE              2
2022-11-23T01:32:30.2871079Z               34 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2871774Z               36 BUILD_TUPLE              3
2022-11-23T01:32:30.2871862Z               38 BINARY_SUBSCR
2022-11-23T01:32:30.2871941Z               40 BINARY_ADD
2022-11-23T01:32:30.2871947Z 
2022-11-23T01:32:30.2872044Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2872142Z               44 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2872223Z               46 BINARY_ADD
2022-11-23T01:32:30.2872312Z               48 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2872407Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2872499Z               52 BUILD_SLICE              2
2022-11-23T01:32:30.2872596Z               54 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2872691Z               56 LOAD_CONST               1 (10)
2022-11-23T01:32:30.2872783Z               58 BUILD_SLICE              2
2022-11-23T01:32:30.2872880Z               60 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2872967Z               62 BUILD_TUPLE              3
2022-11-23T01:32:30.2873054Z               64 BINARY_SUBSCR
2022-11-23T01:32:30.2873147Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2873242Z               68 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2873320Z               70 BINARY_ADD
2022-11-23T01:32:30.2873420Z               72 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2873514Z               74 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2873599Z               76 BUILD_SLICE              2
2022-11-23T01:32:30.2873698Z               78 LOAD_CONST               1 (10)
2022-11-23T01:32:30.2873795Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2873890Z               82 BUILD_SLICE              2
2022-11-23T01:32:30.2873984Z               84 LOAD_CONST               2 (0)
2022-11-23T01:32:30.2874078Z               86 BUILD_TUPLE              3
2022-11-23T01:32:30.2874161Z               88 BINARY_SUBSCR
2022-11-23T01:32:30.2874232Z               90 BINARY_ADD
2022-11-23T01:32:30.2874244Z 
2022-11-23T01:32:30.2874332Z 1674          92 BUILD_TUPLE              2
2022-11-23T01:32:30.2874414Z               94 RETURN_VALUE
2022-11-23T01:32:30.2874480Z  
2022-11-23T01:32:30.2874486Z 
2022-11-23T01:32:30.2874804Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675
2022-11-23T01:32:30.2875019Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.2875262Z [2022-11-23 01:26:50,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:30.2875550Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2875883Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2876183Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2876496Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2876866Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2877157Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2877481Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2877761Z [2022-11-23 01:26:50,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2878004Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.2878276Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2878594Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2878948Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2879241Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2879565Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2879937Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2880250Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2880605Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2880909Z [2022-11-23 01:26:50,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2881181Z [2022-11-23 01:26:50,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2881498Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676
2022-11-23T01:32:30.2881766Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.2882066Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2882372Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2882638Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2882947Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2883326Z [2022-11-23 01:26:50,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2883624Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2883984Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2884353Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2884670Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2885020Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2885324Z [2022-11-23 01:26:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2885591Z [2022-11-23 01:26:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2885888Z [2022-11-23 01:26:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2886221Z [2022-11-23 01:26:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2886517Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2886852Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2887233Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2887555Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2887912Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2888310Z [2022-11-23 01:26:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2888651Z [2022-11-23 01:26:50,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2889027Z [2022-11-23 01:26:50,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2889362Z [2022-11-23 01:26:50,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2889663Z [2022-11-23 01:26:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2889974Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674
2022-11-23T01:32:30.2890243Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2890561Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2890933Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673>
2022-11-23T01:32:30.2891203Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2891441Z [2022-11-23 01:26:50,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2891724Z [2022-11-23 01:26:50,223] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2892002Z [2022-11-23 01:26:50,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2892196Z [2022-11-23 01:26:50,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2892340Z  __compiled_fn_212 <eval_with_key>.1319 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2892435Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2892700Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:30.2892958Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:30.2893155Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:30.2893336Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2893600Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:30.2893774Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2894038Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:30.2894242Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:30.2894351Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:30.2894357Z 
2022-11-23T01:32:30.2894692Z [2022-11-23 01:26:50,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2894787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2894884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2894980Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2895078Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2895168Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2895263Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2895347Z              12 RETURN_VALUE
2022-11-23T01:32:30.2895353Z 
2022-11-23T01:32:30.2895412Z  
2022-11-23T01:32:30.2895742Z [2022-11-23 01:26:50,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2895863Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_212)
2022-11-23T01:32:30.2895965Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2896062Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2896144Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2896239Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2896349Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2896451Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2896547Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2896630Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2896736Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2896831Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2896917Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2897041Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2897117Z              26 RETURN_VALUE
2022-11-23T01:32:30.2897123Z 
2022-11-23T01:32:30.2897191Z  
2022-11-23T01:32:30.2897404Z [2022-11-23 01:26:50,232] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2897480Z  - 
2022-11-23T01:32:30.2897605Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2897676Z             {
2022-11-23T01:32:30.2897823Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2898006Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2898129Z                 'obj_weakref': None
2022-11-23T01:32:30.2898358Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2898429Z             }
2022-11-23T01:32:30.2898497Z             
2022-11-23T01:32:30.2898573Z  - 
2022-11-23T01:32:30.2898701Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2898766Z             {
2022-11-23T01:32:30.2899113Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2899228Z                 'code': None,
2022-11-23T01:32:30.2899442Z                 'obj_weakref': <weakref at 0x7f20233c9760; to 'Tensor' at 0x7f21279d2390>
2022-11-23T01:32:30.2899698Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2899768Z             }
2022-11-23T01:32:30.2899836Z             
2022-11-23T01:32:30.2899905Z  - 
2022-11-23T01:32:30.2900041Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2900111Z             {
2022-11-23T01:32:30.2900251Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2900425Z                 'code': ['___check_obj_id(model, 139777335673760)'],
2022-11-23T01:32:30.2900548Z                 'obj_weakref': None
2022-11-23T01:32:30.2900778Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2900843Z             }
2022-11-23T01:32:30.2900913Z             
2022-11-23T01:32:30.2900989Z  - 
2022-11-23T01:32:30.2901114Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2901184Z             {
2022-11-23T01:32:30.2901329Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2901549Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2901666Z                 'obj_weakref': None
2022-11-23T01:32:30.2901917Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2901994Z             }
2022-11-23T01:32:30.2902079Z             
2022-11-23T01:32:30.2902339Z [2022-11-23 01:26:50,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205
2022-11-23T01:32:30.2902706Z [2022-11-23 01:26:51,792] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qa/cqamdqqxikfwvijufogip5hjv3dk5ybj72ksy3znk2t6wtz6rlsk.py
2022-11-23T01:32:30.2902977Z [2022-11-23 01:26:51,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205
2022-11-23T01:32:30.2902983Z 
2022-11-23T01:32:30.2903083Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2903153Z import torch
2022-11-23T01:32:30.2903227Z import random
2022-11-23T01:32:30.2903348Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2903473Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2903478Z 
2022-11-23T01:32:30.2903561Z aten = torch.ops.aten
2022-11-23T01:32:30.2903703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2903800Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2903805Z 
2022-11-23T01:32:30.2903882Z import triton
2022-11-23T01:32:30.2903969Z import triton.language as tl
2022-11-23T01:32:30.2904098Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2904241Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2904295Z 
2022-11-23T01:32:30.2904301Z 
2022-11-23T01:32:30.2904443Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2904654Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2904808Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2904914Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2905017Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2905076Z {
2022-11-23T01:32:30.2905179Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2905247Z     {
2022-11-23T01:32:30.2905342Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.2905430Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.2905498Z         {
2022-11-23T01:32:30.2905583Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:30.2905655Z             {
2022-11-23T01:32:30.2905725Z                 {
2022-11-23T01:32:30.2905797Z                     {
2022-11-23T01:32:30.2905913Z                         auto tmp0 = in_ptr0[(2*i1) + (40*i0)];
2022-11-23T01:32:30.2906029Z                         auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)];
2022-11-23T01:32:30.2906134Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2906241Z                         auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.2906341Z                         auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:30.2906439Z                         auto tmp5 = tmp1 + tmp3;
2022-11-23T01:32:30.2906540Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.2906644Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:30.2906745Z                         out_ptr1[i1 + (10*i0)] = tmp6;
2022-11-23T01:32:30.2906816Z                     }
2022-11-23T01:32:30.2906879Z                 }
2022-11-23T01:32:30.2906949Z             }
2022-11-23T01:32:30.2907017Z         }
2022-11-23T01:32:30.2907084Z     }
2022-11-23T01:32:30.2907148Z }
2022-11-23T01:32:30.2907236Z ''')
2022-11-23T01:32:30.2907244Z 
2022-11-23T01:32:30.2907249Z 
2022-11-23T01:32:30.2907344Z async_compile.wait(globals())
2022-11-23T01:32:30.2907415Z del async_compile
2022-11-23T01:32:30.2907427Z 
2022-11-23T01:32:30.2907499Z def call(args):
2022-11-23T01:32:30.2907574Z     arg0_1, = args
2022-11-23T01:32:30.2907648Z     args.clear()
2022-11-23T01:32:30.2907850Z     buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2908052Z     buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2908223Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2908298Z     del arg0_1
2022-11-23T01:32:30.2908374Z     return (buf0, buf1, )
2022-11-23T01:32:30.2908379Z 
2022-11-23T01:32:30.2908384Z 
2022-11-23T01:32:30.2908465Z if __name__ == "__main__":
2022-11-23T01:32:30.2908584Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2908716Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2908925Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2909039Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2909047Z 
2022-11-23T01:32:30.2909118Z ok (1.587s)
2022-11-23T01:32:30.2909417Z   test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2909722Z [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2909940Z [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2910194Z [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2910674Z [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2910997Z [2022-11-23 01:26:51,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2911358Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2911678Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2912050Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685> 
2022-11-23T01:32:30.2912151Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2912250Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2912389Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2912484Z                6 BUILD_SLICE              2
2022-11-23T01:32:30.2912586Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2912683Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2912781Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2912876Z               14 BUILD_SLICE              3
2022-11-23T01:32:30.2913017Z               16 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2913104Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.2913190Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.2913288Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2913428Z               24 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2913527Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2913619Z               28 BUILD_SLICE              2
2022-11-23T01:32:30.2913716Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2913810Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2913907Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2914000Z               36 BUILD_SLICE              3
2022-11-23T01:32:30.2914142Z               38 LOAD_CONST               4 (-2)
2022-11-23T01:32:30.2914236Z               40 BUILD_TUPLE              3
2022-11-23T01:32:30.2914320Z               42 BINARY_SUBSCR
2022-11-23T01:32:30.2914398Z               44 BINARY_ADD
2022-11-23T01:32:30.2914404Z 
2022-11-23T01:32:30.2914501Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2914587Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2914666Z               50 BINARY_ADD
2022-11-23T01:32:30.2914766Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2914905Z               54 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2914998Z               56 BUILD_SLICE              2
2022-11-23T01:32:30.2915096Z               58 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2915192Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2915279Z               62 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2915376Z               64 BUILD_SLICE              3
2022-11-23T01:32:30.2915517Z               66 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2915613Z               68 BUILD_TUPLE              3
2022-11-23T01:32:30.2915696Z               70 BINARY_SUBSCR
2022-11-23T01:32:30.2915790Z               72 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2915882Z               74 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2915954Z               76 BINARY_ADD
2022-11-23T01:32:30.2916094Z               78 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.2916188Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2916280Z               82 BUILD_SLICE              2
2022-11-23T01:32:30.2916374Z               84 LOAD_CONST               3 (1)
2022-11-23T01:32:30.2916519Z               86 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2916614Z               88 LOAD_CONST               2 (2)
2022-11-23T01:32:30.2916700Z               90 BUILD_SLICE              3
2022-11-23T01:32:30.2916868Z               92 LOAD_CONST               4 (-2)
2022-11-23T01:32:30.2916963Z               94 BUILD_TUPLE              3
2022-11-23T01:32:30.2917047Z               96 BINARY_SUBSCR
2022-11-23T01:32:30.2917125Z               98 BINARY_ADD
2022-11-23T01:32:30.2917131Z 
2022-11-23T01:32:30.2917224Z 1686         100 BUILD_TUPLE              2
2022-11-23T01:32:30.2917305Z              102 RETURN_VALUE
2022-11-23T01:32:30.2917365Z  
2022-11-23T01:32:30.2917378Z 
2022-11-23T01:32:30.2917691Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687
2022-11-23T01:32:30.2917908Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.2918160Z [2022-11-23 01:26:51,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:30.2918452Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2918777Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2919049Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2919360Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2919711Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2920104Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2920396Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2920709Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2920986Z [2022-11-23 01:26:51,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2921226Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.2921497Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2921832Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2922200Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2922492Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2922823Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2923190Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2923629Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2923949Z [2022-11-23 01:26:51,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2924325Z [2022-11-23 01:26:51,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2924622Z [2022-11-23 01:26:51,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2924894Z [2022-11-23 01:26:51,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2925210Z [2022-11-23 01:26:51,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688
2022-11-23T01:32:30.2925452Z [2022-11-23 01:26:51,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.2925716Z [2022-11-23 01:26:51,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2926025Z [2022-11-23 01:26:51,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2926293Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2926604Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2926947Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2927242Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2927578Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2927952Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2928365Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2928677Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2929022Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2929322Z [2022-11-23 01:26:51,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2929590Z [2022-11-23 01:26:51,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2929884Z [2022-11-23 01:26:51,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2930215Z [2022-11-23 01:26:51,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2930534Z [2022-11-23 01:26:51,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2930866Z [2022-11-23 01:26:51,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2931258Z [2022-11-23 01:26:51,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2931574Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2931974Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2932374Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2932810Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.2933156Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.2933531Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2933859Z [2022-11-23 01:26:51,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2934160Z [2022-11-23 01:26:51,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2934476Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686
2022-11-23T01:32:30.2934749Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2934999Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2935376Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685>
2022-11-23T01:32:30.2935627Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2935861Z [2022-11-23 01:26:51,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2936117Z [2022-11-23 01:26:51,810] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2936369Z [2022-11-23 01:26:51,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2936565Z [2022-11-23 01:26:51,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2936706Z  __compiled_fn_213 <eval_with_key>.1325 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2936800Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2937064Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:30.2937321Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:30.2937518Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:30.2937715Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.2937982Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:30.2938181Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:30.2938437Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:30.2938634Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:30.2938745Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:30.2938750Z 
2022-11-23T01:32:30.2939283Z [2022-11-23 01:26:51,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2939386Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2939477Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2939576Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2939676Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2939768Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2939862Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2939949Z              12 RETURN_VALUE
2022-11-23T01:32:30.2939955Z 
2022-11-23T01:32:30.2940020Z  
2022-11-23T01:32:30.2940349Z [2022-11-23 01:26:51,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2940460Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_213)
2022-11-23T01:32:30.2940555Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2940653Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2940735Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2940828Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2940939Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2941050Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2941139Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2941226Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2941335Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2941431Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2941515Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2941610Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.2941692Z              26 RETURN_VALUE
2022-11-23T01:32:30.2941698Z 
2022-11-23T01:32:30.2941757Z  
2022-11-23T01:32:30.2941946Z [2022-11-23 01:26:51,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2942021Z  - 
2022-11-23T01:32:30.2942148Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2942216Z             {
2022-11-23T01:32:30.2942363Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2942556Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2942674Z                 'obj_weakref': None
2022-11-23T01:32:30.2942902Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2942974Z             }
2022-11-23T01:32:30.2943043Z             
2022-11-23T01:32:30.2943121Z  - 
2022-11-23T01:32:30.2943250Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2943318Z             {
2022-11-23T01:32:30.2943458Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2943569Z                 'code': None,
2022-11-23T01:32:30.2943778Z                 'obj_weakref': <weakref at 0x7f20233575b0; to 'Tensor' at 0x7f2060205ad0>
2022-11-23T01:32:30.2944026Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2944095Z             }
2022-11-23T01:32:30.2944162Z             
2022-11-23T01:32:30.2944239Z  - 
2022-11-23T01:32:30.2944417Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2944488Z             {
2022-11-23T01:32:30.2944628Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2944803Z                 'code': ['___check_obj_id(model, 139780374684880)'],
2022-11-23T01:32:30.2944954Z                 'obj_weakref': None
2022-11-23T01:32:30.2945186Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2945258Z             }
2022-11-23T01:32:30.2945320Z             
2022-11-23T01:32:30.2945399Z  - 
2022-11-23T01:32:30.2945526Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2945595Z             {
2022-11-23T01:32:30.2945736Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2945953Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2946079Z                 'obj_weakref': None
2022-11-23T01:32:30.2946302Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2946371Z             }
2022-11-23T01:32:30.2946439Z             
2022-11-23T01:32:30.2946701Z [2022-11-23 01:26:51,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206
2022-11-23T01:32:30.2947074Z [2022-11-23 01:26:53,391] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hc/chcd6gfkdhqk6tlm7bicapb4gfbinevij2jnksxcmkuczru5qcx7.py
2022-11-23T01:32:30.2947341Z [2022-11-23 01:26:53,391] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206
2022-11-23T01:32:30.2947346Z 
2022-11-23T01:32:30.2947446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2947521Z import torch
2022-11-23T01:32:30.2947589Z import random
2022-11-23T01:32:30.2947711Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2947837Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2947842Z 
2022-11-23T01:32:30.2947925Z aten = torch.ops.aten
2022-11-23T01:32:30.2948067Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2948165Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2948170Z 
2022-11-23T01:32:30.2948244Z import triton
2022-11-23T01:32:30.2948343Z import triton.language as tl
2022-11-23T01:32:30.2948463Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2948606Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2948611Z 
2022-11-23T01:32:30.2948616Z 
2022-11-23T01:32:30.2948758Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2948967Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2949092Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.2949198Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2949302Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.2949368Z {
2022-11-23T01:32:30.2949467Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2949534Z     {
2022-11-23T01:32:30.2949618Z         #pragma omp for 
2022-11-23T01:32:30.2949707Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:30.2949775Z         {
2022-11-23T01:32:30.2949847Z             {
2022-11-23T01:32:30.2949911Z                 {
2022-11-23T01:32:30.2950014Z                     auto tmp0 = in_ptr0[1 + (4*i0)];
2022-11-23T01:32:30.2950118Z                     auto tmp1 = in_ptr0[42 + (4*i0)];
2022-11-23T01:32:30.2950217Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2950442Z                     auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.2950553Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:30.2950665Z                     auto tmp5 = static_cast<float>(2);
2022-11-23T01:32:30.2950762Z                     auto tmp6 = tmp1 + tmp5;
2022-11-23T01:32:30.2950850Z                     auto tmp7 = tmp4 + tmp6;
2022-11-23T01:32:30.2950941Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.2951065Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:32:30.2951135Z                 }
2022-11-23T01:32:30.2951204Z             }
2022-11-23T01:32:30.2951271Z         }
2022-11-23T01:32:30.2951357Z     }
2022-11-23T01:32:30.2951422Z }
2022-11-23T01:32:30.2951512Z ''')
2022-11-23T01:32:30.2951517Z 
2022-11-23T01:32:30.2951522Z 
2022-11-23T01:32:30.2951614Z async_compile.wait(globals())
2022-11-23T01:32:30.2951691Z del async_compile
2022-11-23T01:32:30.2951696Z 
2022-11-23T01:32:30.2951772Z def call(args):
2022-11-23T01:32:30.2951847Z     arg0_1, = args
2022-11-23T01:32:30.2951925Z     args.clear()
2022-11-23T01:32:30.2952121Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2952317Z     buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2952488Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.2952561Z     del arg0_1
2022-11-23T01:32:30.2952648Z     return (buf0, buf1, )
2022-11-23T01:32:30.2952654Z 
2022-11-23T01:32:30.2952658Z 
2022-11-23T01:32:30.2952739Z if __name__ == "__main__":
2022-11-23T01:32:30.2952858Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2952991Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2953191Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2953303Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2953308Z 
2022-11-23T01:32:30.2953378Z ok (1.599s)
2022-11-23T01:32:30.2953692Z   test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.2954006Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.2954228Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.2954482Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.2954757Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.2955080Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2955411Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2955725Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.2956095Z [2022-11-23 01:26:53,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290> 
2022-11-23T01:32:30.2956199Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2956307Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:30.2956407Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.2956502Z                6 CALL_METHOD              1
2022-11-23T01:32:30.2956599Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:30.2956605Z 
2022-11-23T01:32:30.2956699Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2956787Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2956867Z               14 BINARY_ADD
2022-11-23T01:32:30.2956961Z               16 STORE_FAST               2 (b)
2022-11-23T01:32:30.2956966Z 
2022-11-23T01:32:30.2957062Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T01:32:30.2957156Z               20 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2957283Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2957384Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2957471Z               26 BUILD_SLICE              2
2022-11-23T01:32:30.2957588Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:30.2957684Z               30 BUILD_TUPLE              2
2022-11-23T01:32:30.2957766Z               32 STORE_SUBSCR
2022-11-23T01:32:30.2957772Z 
2022-11-23T01:32:30.2957871Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.2957968Z               36 LOAD_METHOD              2 (clone)
2022-11-23T01:32:30.2958061Z               38 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2958156Z               40 CALL_METHOD              1
2022-11-23T01:32:30.2958244Z               42 STORE_FAST               3 (c)
2022-11-23T01:32:30.2958248Z 
2022-11-23T01:32:30.2958345Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T01:32:30.2958439Z               46 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2958535Z               48 LOAD_CONST               5 (4)
2022-11-23T01:32:30.2958633Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2958728Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:30.2958828Z               54 BUILD_SLICE              2
2022-11-23T01:32:30.2958916Z               56 BUILD_TUPLE              2
2022-11-23T01:32:30.2958997Z               58 STORE_SUBSCR
2022-11-23T01:32:30.2959002Z 
2022-11-23T01:32:30.2959094Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2959188Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:30.2959265Z               64 BINARY_ADD
2022-11-23T01:32:30.2959359Z               66 STORE_FAST               4 (d)
2022-11-23T01:32:30.2959364Z 
2022-11-23T01:32:30.2959456Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T01:32:30.2959548Z               70 LOAD_FAST                2 (b)
2022-11-23T01:32:30.2959632Z               72 LOAD_FAST                3 (c)
2022-11-23T01:32:30.2959726Z               74 LOAD_FAST                4 (d)
2022-11-23T01:32:30.2959819Z               76 BUILD_TUPLE              4
2022-11-23T01:32:30.2959902Z               78 RETURN_VALUE
2022-11-23T01:32:30.2959974Z  
2022-11-23T01:32:30.2959979Z 
2022-11-23T01:32:30.2960293Z [2022-11-23 01:26:53,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291
2022-11-23T01:32:30.2960513Z [2022-11-23 01:26:53,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2960880Z [2022-11-23 01:26:53,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2961197Z [2022-11-23 01:26:53,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2961550Z [2022-11-23 01:26:53,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2961790Z [2022-11-23 01:26:53,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.2962115Z [2022-11-23 01:26:53,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292
2022-11-23T01:32:30.2962365Z [2022-11-23 01:26:53,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.2962605Z [2022-11-23 01:26:53,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.2962883Z [2022-11-23 01:26:53,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2963121Z [2022-11-23 01:26:53,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:30.2963473Z [2022-11-23 01:26:53,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293
2022-11-23T01:32:30.2963690Z [2022-11-23 01:26:53,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T01:32:30.2963955Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:30.2964238Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.2964565Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2964932Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2965236Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.2965575Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2965893Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2966202Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294
2022-11-23T01:32:30.2966424Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.2966792Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.2967109Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.2967458Z [2022-11-23 01:26:53,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.2967700Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:30.2968013Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295
2022-11-23T01:32:30.2968231Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T01:32:30.2968483Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:30.2968767Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.2969084Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2969447Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2969846Z [2022-11-23 01:26:53,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.2970185Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T01:32:30.2970518Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.2970823Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296
2022-11-23T01:32:30.2971058Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.2971298Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.2971579Z [2022-11-23 01:26:53,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.2971849Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:30.2972184Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297
2022-11-23T01:32:30.2972401Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.2972646Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.2972915Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2973211Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2973528Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.2973778Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2974163Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290>
2022-11-23T01:32:30.2974411Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.2974653Z [2022-11-23 01:26:53,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.2974912Z [2022-11-23 01:26:53,404] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.2975159Z [2022-11-23 01:26:53,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.2975348Z [2022-11-23 01:26:53,410] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.2975489Z  __compiled_fn_214 <eval_with_key>.1331 opcode, name, target, args, kwargs
2022-11-23T01:32:30.2975577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.2975825Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.2976013Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:30.2976255Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T01:32:30.2976493Z call_function, clone, <built-in method clone of type object at 0x7f209c394c60>, (zeros_like,), {}
2022-11-23T01:32:30.2976740Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T01:32:30.2976926Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:30.2977057Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T01:32:30.2977063Z 
2022-11-23T01:32:30.2977386Z [2022-11-23 01:26:53,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2977480Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.2977605Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2977704Z               4 BUILD_MAP                0
2022-11-23T01:32:30.2977803Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.2977916Z               8 DICT_MERGE               1
2022-11-23T01:32:30.2978011Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.2978094Z              12 RETURN_VALUE
2022-11-23T01:32:30.2978099Z 
2022-11-23T01:32:30.2978158Z  
2022-11-23T01:32:30.2978486Z [2022-11-23 01:26:53,410] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.2978600Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_214)
2022-11-23T01:32:30.2978697Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.2978976Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2979062Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.2979155Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.2979271Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.2979373Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2979470Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.2979555Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.2979665Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2979760Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.2979841Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.2979945Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2980034Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.2980114Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.2980221Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.2980314Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.2980395Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.2980491Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.2980573Z              38 RETURN_VALUE
2022-11-23T01:32:30.2980578Z 
2022-11-23T01:32:30.2980637Z  
2022-11-23T01:32:30.2980831Z [2022-11-23 01:26:53,411] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.2980910Z  - 
2022-11-23T01:32:30.2981035Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.2981109Z             {
2022-11-23T01:32:30.2981252Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.2981448Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.2981567Z                 'obj_weakref': None
2022-11-23T01:32:30.2981794Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.2981863Z             }
2022-11-23T01:32:30.2981931Z             
2022-11-23T01:32:30.2982011Z  - 
2022-11-23T01:32:30.2982141Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.2982210Z             {
2022-11-23T01:32:30.2982354Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.2982468Z                 'code': None,
2022-11-23T01:32:30.2982681Z                 'obj_weakref': <weakref at 0x7f20233cb6a0; to 'Tensor' at 0x7f212786d670>
2022-11-23T01:32:30.2982938Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.2983008Z             }
2022-11-23T01:32:30.2983077Z             
2022-11-23T01:32:30.2983153Z  - 
2022-11-23T01:32:30.2983281Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.2983351Z             {
2022-11-23T01:32:30.2983491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.2983671Z                 'code': ['___check_obj_id(model, 139780374684880)'],
2022-11-23T01:32:30.2983796Z                 'obj_weakref': None
2022-11-23T01:32:30.2984024Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.2984093Z             }
2022-11-23T01:32:30.2984205Z             
2022-11-23T01:32:30.2984281Z  - 
2022-11-23T01:32:30.2984412Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.2984482Z             {
2022-11-23T01:32:30.2984625Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.2984871Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.2984997Z                 'obj_weakref': None
2022-11-23T01:32:30.2985226Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.2985288Z             }
2022-11-23T01:32:30.2985356Z             
2022-11-23T01:32:30.2985431Z  - 
2022-11-23T01:32:30.2985568Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.2985636Z             {
2022-11-23T01:32:30.2985763Z                 'guard_types': None,
2022-11-23T01:32:30.2985868Z                 'code': None,
2022-11-23T01:32:30.2985992Z                 'obj_weakref': None
2022-11-23T01:32:30.2986121Z                 'guarded_class': None
2022-11-23T01:32:30.2986190Z             }
2022-11-23T01:32:30.2986258Z             
2022-11-23T01:32:30.2986525Z [2022-11-23 01:26:53,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207
2022-11-23T01:32:30.2986893Z [2022-11-23 01:26:55,016] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/af/cafsyjsrlup4ni6w7yaqpibx564qxaobm3zharq6t4mbum6nxvmv.py
2022-11-23T01:32:30.2987161Z [2022-11-23 01:26:55,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207
2022-11-23T01:32:30.2987167Z 
2022-11-23T01:32:30.2987261Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.2987336Z import torch
2022-11-23T01:32:30.2987411Z import random
2022-11-23T01:32:30.2987533Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.2987662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.2987667Z 
2022-11-23T01:32:30.2987750Z aten = torch.ops.aten
2022-11-23T01:32:30.2987891Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.2987982Z async_compile = AsyncCompile()
2022-11-23T01:32:30.2987994Z 
2022-11-23T01:32:30.2988062Z import triton
2022-11-23T01:32:30.2988158Z import triton.language as tl
2022-11-23T01:32:30.2988285Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.2988427Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.2988433Z 
2022-11-23T01:32:30.2988437Z 
2022-11-23T01:32:30.2988576Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.2988787Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.2988907Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:30.2989004Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.2989104Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.2989205Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.2989276Z {
2022-11-23T01:32:30.2989379Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.2989449Z     {
2022-11-23T01:32:30.2989532Z         #pragma omp for 
2022-11-23T01:32:30.2989616Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2989686Z         {
2022-11-23T01:32:30.2989833Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:30.2989973Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2990064Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2990162Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2990369Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.2990451Z         }
2022-11-23T01:32:30.2990558Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2990663Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2990746Z         {
2022-11-23T01:32:30.2990867Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:30.2991021Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.2991313Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2991403Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.2991557Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:30.2991623Z         }
2022-11-23T01:32:30.2991719Z         #pragma omp for 
2022-11-23T01:32:30.2991818Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2991897Z         {
2022-11-23T01:32:30.2991978Z             {
2022-11-23T01:32:30.2992042Z                 {
2022-11-23T01:32:30.2992155Z                     auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:32:30.2992254Z                     out_ptr0[3 + (8*i0)] = tmp0;
2022-11-23T01:32:30.2992324Z                 }
2022-11-23T01:32:30.2992393Z             }
2022-11-23T01:32:30.2992460Z         }
2022-11-23T01:32:30.2992542Z         #pragma omp for 
2022-11-23T01:32:30.2992622Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2992690Z         {
2022-11-23T01:32:30.2992836Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2992932Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.2993001Z         }
2022-11-23T01:32:30.2993100Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2993192Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2993253Z         {
2022-11-23T01:32:30.2993342Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:30.2993427Z             out_ptr2[i0] = tmp0;
2022-11-23T01:32:30.2993495Z         }
2022-11-23T01:32:30.2993577Z         #pragma omp for 
2022-11-23T01:32:30.2993663Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.2993732Z         {
2022-11-23T01:32:30.2993868Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(4.0));
2022-11-23T01:32:30.2993973Z             tmp0.store(out_ptr0 + 32 + (8*i0));
2022-11-23T01:32:30.2994040Z         }
2022-11-23T01:32:30.2994138Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2994223Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.2994293Z         {
2022-11-23T01:32:30.2994401Z             auto tmp0 = static_cast<float>(4.0);
2022-11-23T01:32:30.2994483Z             out_ptr0[32 + i0] = tmp0;
2022-11-23T01:32:30.2994553Z         }
2022-11-23T01:32:30.2994634Z         #pragma omp for 
2022-11-23T01:32:30.2994719Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.2994788Z         {
2022-11-23T01:32:30.2994925Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:32:30.2995063Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.2995147Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2995244Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:32:30.2995312Z         }
2022-11-23T01:32:30.2995411Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.2995499Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.2995566Z         {
2022-11-23T01:32:30.2995656Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:30.2995757Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.2995847Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.2995932Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:30.2996003Z         }
2022-11-23T01:32:30.2996070Z     }
2022-11-23T01:32:30.2996136Z }
2022-11-23T01:32:30.2996218Z ''')
2022-11-23T01:32:30.2996224Z 
2022-11-23T01:32:30.2996234Z 
2022-11-23T01:32:30.2996322Z async_compile.wait(globals())
2022-11-23T01:32:30.2996399Z del async_compile
2022-11-23T01:32:30.2996404Z 
2022-11-23T01:32:30.2996480Z def call(args):
2022-11-23T01:32:30.2996556Z     arg0_1, = args
2022-11-23T01:32:30.2996631Z     args.clear()
2022-11-23T01:32:30.2996829Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2997025Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2997210Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2997433Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2997629Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.2997745Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T01:32:30.2997750Z 
2022-11-23T01:32:30.2997755Z 
2022-11-23T01:32:30.2997836Z if __name__ == "__main__":
2022-11-23T01:32:30.2997957Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.2998087Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.2998282Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.2998388Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.2998401Z 
2022-11-23T01:32:30.2998466Z ok (1.625s)
2022-11-23T01:32:30.2998781Z   test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.2999099Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3304
2022-11-23T01:32:30.2999312Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.2999561Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:30.2999848Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3000177Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3000442Z [2022-11-23 01:26:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.3000742Z [2022-11-23 01:26:55,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3001068Z [2022-11-23 01:26:55,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3001359Z [2022-11-23 01:26:55,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3001632Z [2022-11-23 01:26:55,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3001868Z [2022-11-23 01:26:55,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.3002146Z [2022-11-23 01:26:55,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3002382Z [2022-11-23 01:26:55,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.3002657Z [2022-11-23 01:26:55,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3002974Z [2022-11-23 01:26:55,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3003336Z [2022-11-23 01:26:55,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3003631Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.3003958Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3004340Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3004661Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3004986Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3005301Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3305
2022-11-23T01:32:30.3005515Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3005763Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:30.3006058Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3006389Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3006659Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.3006960Z [2022-11-23 01:26:55,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3007288Z [2022-11-23 01:26:55,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3007580Z [2022-11-23 01:26:55,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3007862Z [2022-11-23 01:26:55,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3008104Z [2022-11-23 01:26:55,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.3008386Z [2022-11-23 01:26:55,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3008628Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.3008898Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3009213Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3009571Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3009865Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.3010192Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3010548Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3010865Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3011164Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3011384Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
2022-11-23T01:32:30.3011693Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
2022-11-23T01:32:30.3011935Z [2022-11-23 01:26:55,028] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.3012209Z [2022-11-23 01:26:55,030] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.3012511Z [2022-11-23 01:26:55,034] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:30.3012778Z [2022-11-23 01:26:55,034] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:30.3013021Z [2022-11-23 01:26:55,034] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.3013212Z [2022-11-23 01:26:55,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3013357Z  __compiled_fn_215 <eval_with_key>.1334 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3013445Z placeholder, a, a, (), {}
2022-11-23T01:32:30.3013699Z call_function, getitem, <built-in function getitem>, (a, (slice(None, None, None), slice(20, 40, None))), {}
2022-11-23T01:32:30.3013887Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:30.3014142Z call_function, setitem, <built-in function setitem>, (a, (slice(None, None, None), slice(20, 40, None)), add), {}
2022-11-23T01:32:30.3014396Z call_function, getitem_1, <built-in function getitem>, (a, (slice(None, None, None), slice(1, 10, None))), {}
2022-11-23T01:32:30.3014585Z call_function, add_1, <built-in function add>, (getitem_1, 2), {}
2022-11-23T01:32:30.3014837Z call_function, setitem_1, <built-in function setitem>, (a, (slice(None, None, None), slice(2, 11, None)), add_1), {}
2022-11-23T01:32:30.3014934Z output, output, output, ((),), {}
2022-11-23T01:32:30.3014939Z 
2022-11-23T01:32:30.3015270Z [2022-11-23 01:26:55,035] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:30.3015370Z 3304           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3015471Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3015572Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3015668Z                6 BUILD_SLICE              2
2022-11-23T01:32:30.3015770Z                8 LOAD_CONST               1 (20)
2022-11-23T01:32:30.3015859Z               10 LOAD_CONST               2 (40)
2022-11-23T01:32:30.3015953Z               12 BUILD_SLICE              2
2022-11-23T01:32:30.3016048Z               14 BUILD_TUPLE              2
2022-11-23T01:32:30.3016132Z               16 BINARY_SUBSCR
2022-11-23T01:32:30.3016230Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.3016314Z               20 BINARY_ADD
2022-11-23T01:32:30.3016411Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3016506Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3016601Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3016696Z               28 BUILD_SLICE              2
2022-11-23T01:32:30.3016795Z               30 LOAD_CONST               1 (20)
2022-11-23T01:32:30.3016892Z               32 LOAD_CONST               2 (40)
2022-11-23T01:32:30.3016985Z               34 BUILD_SLICE              2
2022-11-23T01:32:30.3017080Z               36 BUILD_TUPLE              2
2022-11-23T01:32:30.3017156Z               38 STORE_SUBSCR
2022-11-23T01:32:30.3017167Z 
2022-11-23T01:32:30.3017256Z 3305          40 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3017352Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3017449Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3017542Z               46 BUILD_SLICE              2
2022-11-23T01:32:30.3017636Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:30.3017759Z               50 LOAD_CONST               4 (10)
2022-11-23T01:32:30.3017854Z               52 BUILD_SLICE              2
2022-11-23T01:32:30.3017941Z               54 BUILD_TUPLE              2
2022-11-23T01:32:30.3018026Z               56 BINARY_SUBSCR
2022-11-23T01:32:30.3018147Z               58 LOAD_CONST               5 (2)
2022-11-23T01:32:30.3018226Z               60 BINARY_ADD
2022-11-23T01:32:30.3018322Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3018420Z               64 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3018517Z               66 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3018603Z               68 BUILD_SLICE              2
2022-11-23T01:32:30.3018697Z               70 LOAD_CONST               5 (2)
2022-11-23T01:32:30.3018981Z               72 LOAD_CONST               6 (11)
2022-11-23T01:32:30.3019077Z               74 BUILD_SLICE              2
2022-11-23T01:32:30.3019170Z               76 BUILD_TUPLE              2
2022-11-23T01:32:30.3019255Z               78 STORE_SUBSCR
2022-11-23T01:32:30.3019354Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3019428Z               82 RETURN_VALUE
2022-11-23T01:32:30.3019433Z 
2022-11-23T01:32:30.3019501Z  
2022-11-23T01:32:30.3019835Z [2022-11-23 01:26:55,035] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:30.3019952Z 3303           0 LOAD_GLOBAL              0 (__compiled_fn_215)
2022-11-23T01:32:30.3020049Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3020144Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.3020224Z                6 POP_TOP
2022-11-23T01:32:30.3020314Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3020395Z               10 RETURN_VALUE
2022-11-23T01:32:30.3020400Z 
2022-11-23T01:32:30.3020466Z  
2022-11-23T01:32:30.3020655Z [2022-11-23 01:26:55,035] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3020733Z  - 
2022-11-23T01:32:30.3020861Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:30.3020930Z             {
2022-11-23T01:32:30.3021076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3021184Z                 'code': None,
2022-11-23T01:32:30.3021402Z                 'obj_weakref': <weakref at 0x7f2115c422f0; to 'Tensor' at 0x7f21159db470>
2022-11-23T01:32:30.3021653Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3021723Z             }
2022-11-23T01:32:30.3021792Z             
2022-11-23T01:32:30.3021864Z ok (0.018s)
2022-11-23T01:32:30.3022178Z   test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3022484Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3022707Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3022961Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3023240Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3023555Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3023901Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3024226Z [2022-11-23 01:26:55,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3024646Z [2022-11-23 01:26:55,048] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657> 
2022-11-23T01:32:30.3024751Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.3024895Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:30.3024986Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3025082Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3025178Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3025272Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3025382Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:30.3025478Z               14 CALL_METHOD              5
2022-11-23T01:32:30.3025560Z               16 RETURN_VALUE
2022-11-23T01:32:30.3025620Z  
2022-11-23T01:32:30.3025625Z 
2022-11-23T01:32:30.3025942Z [2022-11-23 01:26:55,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658
2022-11-23T01:32:30.3026163Z [2022-11-23 01:26:55,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.3026489Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.3026756Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:30.3027048Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:30.3027366Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3027721Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3028132Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3028569Z [2022-11-23 01:26:55,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3028820Z [2022-11-23 01:26:55,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3029200Z [2022-11-23 01:26:55,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657>
2022-11-23T01:32:30.3029446Z [2022-11-23 01:26:55,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3029684Z [2022-11-23 01:26:55,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3029943Z [2022-11-23 01:26:55,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3030196Z [2022-11-23 01:26:55,058] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3030466Z [2022-11-23 01:26:55,058] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3030625Z  __compiled_fn_216 <eval_with_key>.1340 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3030721Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3030813Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3030958Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:30.3031074Z output, output, output, ((slice_scatter,),), {}
2022-11-23T01:32:30.3031080Z 
2022-11-23T01:32:30.3031447Z [2022-11-23 01:26:55,059] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3031570Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3031667Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3031763Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3031864Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3031957Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3032045Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3032126Z              12 RETURN_VALUE
2022-11-23T01:32:30.3032132Z 
2022-11-23T01:32:30.3032199Z  
2022-11-23T01:32:30.3032530Z [2022-11-23 01:26:55,059] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3032650Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_216)
2022-11-23T01:32:30.3032747Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3032845Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3032927Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3033019Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3033113Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3033194Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3033290Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3033386Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3033469Z              18 RETURN_VALUE
2022-11-23T01:32:30.3033474Z 
2022-11-23T01:32:30.3033540Z  
2022-11-23T01:32:30.3033723Z [2022-11-23 01:26:55,059] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3033800Z  - 
2022-11-23T01:32:30.3033926Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3033994Z             {
2022-11-23T01:32:30.3034140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3034334Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3034460Z                 'obj_weakref': None
2022-11-23T01:32:30.3034679Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3034752Z             }
2022-11-23T01:32:30.3034822Z             
2022-11-23T01:32:30.3034896Z  - 
2022-11-23T01:32:30.3035024Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3035093Z             {
2022-11-23T01:32:30.3035239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3035345Z                 'code': None,
2022-11-23T01:32:30.3035555Z                 'obj_weakref': <weakref at 0x7f20682fcd60; to 'Tensor' at 0x7f2127975210>
2022-11-23T01:32:30.3035803Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3035872Z             }
2022-11-23T01:32:30.3035938Z             
2022-11-23T01:32:30.3036017Z  - 
2022-11-23T01:32:30.3036144Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3036207Z             {
2022-11-23T01:32:30.3036351Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3036465Z                 'code': None,
2022-11-23T01:32:30.3036672Z                 'obj_weakref': <weakref at 0x7f20682fc9a0; to 'Tensor' at 0x7f21159db470>
2022-11-23T01:32:30.3036914Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3036983Z             }
2022-11-23T01:32:30.3037051Z             
2022-11-23T01:32:30.3037119Z  - 
2022-11-23T01:32:30.3037254Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3037322Z             {
2022-11-23T01:32:30.3037461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3037635Z                 'code': ['___check_obj_id(model, 139780077317296)'],
2022-11-23T01:32:30.3037760Z                 'obj_weakref': None
2022-11-23T01:32:30.3038024Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3038089Z             }
2022-11-23T01:32:30.3038156Z             
2022-11-23T01:32:30.3038255Z  - 
2022-11-23T01:32:30.3038382Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3038451Z             {
2022-11-23T01:32:30.3038593Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3038818Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3038935Z                 'obj_weakref': None
2022-11-23T01:32:30.3039162Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3039231Z             }
2022-11-23T01:32:30.3039299Z             
2022-11-23T01:32:30.3039374Z  - 
2022-11-23T01:32:30.3039512Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.3039582Z             {
2022-11-23T01:32:30.3039700Z                 'guard_types': None,
2022-11-23T01:32:30.3039815Z                 'code': None,
2022-11-23T01:32:30.3039938Z                 'obj_weakref': None
2022-11-23T01:32:30.3040065Z                 'guarded_class': None
2022-11-23T01:32:30.3040137Z             }
2022-11-23T01:32:30.3040206Z             
2022-11-23T01:32:30.3040468Z [2022-11-23 01:26:55,063] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208
2022-11-23T01:32:30.3040821Z [2022-11-23 01:26:56,601] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xc/cxcj2wwjjaok6c4skz7sxsobo6sr6y44qqn3plzlnvj3eyag7j6z.py
2022-11-23T01:32:30.3041087Z [2022-11-23 01:26:56,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208
2022-11-23T01:32:30.3041093Z 
2022-11-23T01:32:30.3041192Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3041266Z import torch
2022-11-23T01:32:30.3041341Z import random
2022-11-23T01:32:30.3041461Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3041589Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3041595Z 
2022-11-23T01:32:30.3041678Z aten = torch.ops.aten
2022-11-23T01:32:30.3041810Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3041911Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3041917Z 
2022-11-23T01:32:30.3041994Z import triton
2022-11-23T01:32:30.3042088Z import triton.language as tl
2022-11-23T01:32:30.3042217Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3042358Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3042364Z 
2022-11-23T01:32:30.3042369Z 
2022-11-23T01:32:30.3042512Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3042756Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3042883Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3042990Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3043058Z {
2022-11-23T01:32:30.3043164Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3043230Z     {
2022-11-23T01:32:30.3043313Z         #pragma omp for 
2022-11-23T01:32:30.3043405Z         for(long i0=0; i0<75648; i0+=1)
2022-11-23T01:32:30.3043467Z         {
2022-11-23T01:32:30.3043609Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3043707Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3043774Z         }
2022-11-23T01:32:30.3043874Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3043972Z         for(long i0=605184; i0<605184; i0+=1)
2022-11-23T01:32:30.3044040Z         {
2022-11-23T01:32:30.3044124Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3044212Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:30.3044281Z         }
2022-11-23T01:32:30.3044349Z     }
2022-11-23T01:32:30.3044414Z }
2022-11-23T01:32:30.3044503Z ''')
2022-11-23T01:32:30.3044508Z 
2022-11-23T01:32:30.3044513Z 
2022-11-23T01:32:30.3044641Z async_compile.wait(globals())
2022-11-23T01:32:30.3044714Z del async_compile
2022-11-23T01:32:30.3044719Z 
2022-11-23T01:32:30.3044795Z def call(args):
2022-11-23T01:32:30.3044902Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3044978Z     args.clear()
2022-11-23T01:32:30.3045197Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3045337Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3045411Z     del arg1_1
2022-11-23T01:32:30.3045480Z     return (buf0, )
2022-11-23T01:32:30.3045485Z 
2022-11-23T01:32:30.3045497Z 
2022-11-23T01:32:30.3045572Z if __name__ == "__main__":
2022-11-23T01:32:30.3045690Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3045823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3046038Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3046254Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3046377Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3046386Z 
2022-11-23T01:32:30.3046458Z ok (1.570s)
2022-11-23T01:32:30.3046764Z   test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3047078Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3047298Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3047551Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3047829Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3048147Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3048492Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3048809Z [2022-11-23 01:26:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3049175Z [2022-11-23 01:26:56,611] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642> 
2022-11-23T01:32:30.3049278Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.3049391Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:30.3049486Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3049583Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:30.3049683Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3049782Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:30.3049927Z               12 LOAD_CONST               3 (-10)
2022-11-23T01:32:30.3050023Z               14 CALL_METHOD              5
2022-11-23T01:32:30.3050028Z 
2022-11-23T01:32:30.3050129Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.3050233Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:30.3050328Z               20 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3050423Z               22 LOAD_FAST                1 (a)
2022-11-23T01:32:30.3050523Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3050623Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3050717Z               28 BUILD_SLICE              2
2022-11-23T01:32:30.3050842Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3050931Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3051026Z               34 BUILD_SLICE              2
2022-11-23T01:32:30.3051144Z               36 LOAD_CONST               0 (None)
2022-11-23T01:32:30.3051242Z               38 LOAD_CONST               4 (40)
2022-11-23T01:32:30.3051335Z               40 BUILD_SLICE              2
2022-11-23T01:32:30.3051430Z               42 BUILD_TUPLE              3
2022-11-23T01:32:30.3051519Z               44 BINARY_SUBSCR
2022-11-23T01:32:30.3051608Z               46 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3051704Z               48 LOAD_CONST               2 (10)
2022-11-23T01:32:30.3051849Z               50 LOAD_CONST               3 (-10)
2022-11-23T01:32:30.3051944Z               52 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3052038Z               54 CALL_METHOD              6
2022-11-23T01:32:30.3052043Z 
2022-11-23T01:32:30.3052159Z 3643          56 BUILD_TUPLE              2
2022-11-23T01:32:30.3052246Z               58 RETURN_VALUE
2022-11-23T01:32:30.3052331Z  
2022-11-23T01:32:30.3052338Z 
2022-11-23T01:32:30.3052650Z [2022-11-23 01:26:56,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644
2022-11-23T01:32:30.3052872Z [2022-11-23 01:26:56,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.3053186Z [2022-11-23 01:26:56,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.3053449Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:30.3053740Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:30.3054058Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3054409Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3054799Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3055223Z [2022-11-23 01:26:56,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3055529Z [2022-11-23 01:26:56,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645
2022-11-23T01:32:30.3055781Z [2022-11-23 01:26:56,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.3056121Z [2022-11-23 01:26:56,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.3056404Z [2022-11-23 01:26:56,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:30.3056724Z [2022-11-23 01:26:56,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:30.3057073Z [2022-11-23 01:26:56,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3057514Z [2022-11-23 01:26:56,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3057956Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3058358Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:30.3058961Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3059431Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3059835Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3060276Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.3060756Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.3061180Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:30.3061562Z [2022-11-23 01:26:56,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3061909Z [2022-11-23 01:26:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3062292Z [2022-11-23 01:26:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3062713Z [2022-11-23 01:26:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3063163Z [2022-11-23 01:26:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3063659Z [2022-11-23 01:26:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3063977Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643
2022-11-23T01:32:30.3064251Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3064505Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3064923Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642>
2022-11-23T01:32:30.3065203Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3065440Z [2022-11-23 01:26:56,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3065699Z [2022-11-23 01:26:56,629] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3065953Z [2022-11-23 01:26:56,633] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3066147Z [2022-11-23 01:26:56,633] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3066281Z  __compiled_fn_217 <eval_with_key>.1346 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3066381Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3066475Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3066688Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T01:32:30.3066986Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T01:32:30.3067206Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T01:32:30.3067341Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T01:32:30.3067347Z 
2022-11-23T01:32:30.3067674Z [2022-11-23 01:26:56,634] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3067768Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3067865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3067960Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3068062Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3068155Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3068250Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3068338Z              12 RETURN_VALUE
2022-11-23T01:32:30.3068343Z 
2022-11-23T01:32:30.3068410Z  
2022-11-23T01:32:30.3068728Z [2022-11-23 01:26:56,634] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3068846Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_217)
2022-11-23T01:32:30.3068943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3069040Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3069123Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3069217Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3069311Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3069389Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3069484Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3069595Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3069703Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3069802Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3069885Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3069992Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3070082Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3070163Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3070313Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.3070409Z              32 RETURN_VALUE
2022-11-23T01:32:30.3070415Z 
2022-11-23T01:32:30.3070504Z  
2022-11-23T01:32:30.3070694Z [2022-11-23 01:26:56,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3070770Z  - 
2022-11-23T01:32:30.3070893Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3070991Z             {
2022-11-23T01:32:30.3071140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3071331Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3071480Z                 'obj_weakref': None
2022-11-23T01:32:30.3071705Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3071775Z             }
2022-11-23T01:32:30.3071843Z             
2022-11-23T01:32:30.3071912Z  - 
2022-11-23T01:32:30.3072040Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3072108Z             {
2022-11-23T01:32:30.3072254Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3072365Z                 'code': None,
2022-11-23T01:32:30.3072577Z                 'obj_weakref': <weakref at 0x7f21284a8f40; to 'Tensor' at 0x7f21159db470>
2022-11-23T01:32:30.3072830Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3072893Z             }
2022-11-23T01:32:30.3072961Z             
2022-11-23T01:32:30.3073036Z  - 
2022-11-23T01:32:30.3073162Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3073235Z             {
2022-11-23T01:32:30.3073380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3073492Z                 'code': None,
2022-11-23T01:32:30.3073688Z                 'obj_weakref': <weakref at 0x7f2115c412b0; to 'Tensor' at 0x7f212794b6a0>
2022-11-23T01:32:30.3073932Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3074001Z             }
2022-11-23T01:32:30.3074068Z             
2022-11-23T01:32:30.3074145Z  - 
2022-11-23T01:32:30.3074282Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3074351Z             {
2022-11-23T01:32:30.3074483Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3074661Z                 'code': ['___check_obj_id(model, 139780374684880)'],
2022-11-23T01:32:30.3074784Z                 'obj_weakref': None
2022-11-23T01:32:30.3075013Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3075088Z             }
2022-11-23T01:32:30.3075156Z             
2022-11-23T01:32:30.3075231Z  - 
2022-11-23T01:32:30.3075350Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3075419Z             {
2022-11-23T01:32:30.3075559Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3075776Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3075900Z                 'obj_weakref': None
2022-11-23T01:32:30.3076122Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3076190Z             }
2022-11-23T01:32:30.3076251Z             
2022-11-23T01:32:30.3076326Z  - 
2022-11-23T01:32:30.3076460Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.3076533Z             {
2022-11-23T01:32:30.3076656Z                 'guard_types': None,
2022-11-23T01:32:30.3076765Z                 'code': None,
2022-11-23T01:32:30.3076879Z                 'obj_weakref': None
2022-11-23T01:32:30.3077005Z                 'guarded_class': None
2022-11-23T01:32:30.3077074Z             }
2022-11-23T01:32:30.3077142Z             
2022-11-23T01:32:30.3077405Z [2022-11-23 01:26:56,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209
2022-11-23T01:32:30.3077769Z [2022-11-23 01:26:58,201] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yb/cybgrbnsfqcdjmkkkx2waatp767inta2xliabcp24morfkfshddr.py
2022-11-23T01:32:30.3078033Z [2022-11-23 01:26:58,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209
2022-11-23T01:32:30.3078039Z 
2022-11-23T01:32:30.3078140Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3078207Z import torch
2022-11-23T01:32:30.3078313Z import random
2022-11-23T01:32:30.3078437Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3078563Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3078590Z 
2022-11-23T01:32:30.3078676Z aten = torch.ops.aten
2022-11-23T01:32:30.3078816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3078914Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3078919Z 
2022-11-23T01:32:30.3078993Z import triton
2022-11-23T01:32:30.3079080Z import triton.language as tl
2022-11-23T01:32:30.3079208Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3079351Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3079357Z 
2022-11-23T01:32:30.3079362Z 
2022-11-23T01:32:30.3079500Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3079710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3079843Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3079955Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3080062Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3080161Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3080228Z {
2022-11-23T01:32:30.3080333Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3080400Z     {
2022-11-23T01:32:30.3080483Z         #pragma omp for 
2022-11-23T01:32:30.3080571Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3080639Z         {
2022-11-23T01:32:30.3080718Z             #pragma GCC ivdep
2022-11-23T01:32:30.3080808Z             for(long i1=0; i1<100; i1+=1)
2022-11-23T01:32:30.3080877Z             {
2022-11-23T01:32:30.3080947Z                 {
2022-11-23T01:32:30.3081020Z                     {
2022-11-23T01:32:30.3081133Z                         auto tmp8 = in_ptr1[i1 + (100*i0)];
2022-11-23T01:32:30.3081238Z                         auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:30.3081352Z                         auto tmp1 = static_cast<int>(10);
2022-11-23T01:32:30.3081453Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:30.3081561Z                         auto tmp3 = static_cast<int>(90);
2022-11-23T01:32:30.3081676Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:30.3081790Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:30.3081901Z                         float tmp6 = 0.0;
2022-11-23T01:32:30.3081991Z                         if(tmp5)
2022-11-23T01:32:30.3082060Z                         {
2022-11-23T01:32:30.3082236Z                             auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)];
2022-11-23T01:32:30.3082325Z                             tmp6 = tmp7;
2022-11-23T01:32:30.3082400Z                         }
2022-11-23T01:32:30.3082508Z                         auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:32:30.3082626Z                         auto tmp10 = static_cast<int>(i1 % 2);
2022-11-23T01:32:30.3082740Z                         auto tmp11 = static_cast<int>(0);
2022-11-23T01:32:30.3082837Z                         auto tmp12 = tmp10 == tmp11;
2022-11-23T01:32:30.3082938Z                         auto tmp13 = tmp5 & tmp12;
2022-11-23T01:32:30.3083035Z                         float tmp14 = 0.0;
2022-11-23T01:32:30.3083118Z                         if(tmp13)
2022-11-23T01:32:30.3083193Z                         {
2022-11-23T01:32:30.3083374Z                             auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)];
2022-11-23T01:32:30.3083467Z                             tmp14 = tmp15;
2022-11-23T01:32:30.3083535Z                         }
2022-11-23T01:32:30.3083645Z                         auto tmp16 = tmp13 ? tmp14 : tmp8;
2022-11-23T01:32:30.3083747Z                         out_ptr0[i1 + (100*i0)] = tmp9;
2022-11-23T01:32:30.3083852Z                         out_ptr1[i1 + (100*i0)] = tmp16;
2022-11-23T01:32:30.3083925Z                     }
2022-11-23T01:32:30.3083995Z                 }
2022-11-23T01:32:30.3084090Z             }
2022-11-23T01:32:30.3084154Z         }
2022-11-23T01:32:30.3084222Z     }
2022-11-23T01:32:30.3084288Z }
2022-11-23T01:32:30.3084374Z ''')
2022-11-23T01:32:30.3084379Z 
2022-11-23T01:32:30.3084406Z 
2022-11-23T01:32:30.3084503Z async_compile.wait(globals())
2022-11-23T01:32:30.3084580Z del async_compile
2022-11-23T01:32:30.3084584Z 
2022-11-23T01:32:30.3084665Z def call(args):
2022-11-23T01:32:30.3084739Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3084816Z     args.clear()
2022-11-23T01:32:30.3085031Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3085241Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3085438Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3085512Z     del arg0_1
2022-11-23T01:32:30.3085584Z     del arg1_1
2022-11-23T01:32:30.3085665Z     return (buf0, buf1, )
2022-11-23T01:32:30.3085676Z 
2022-11-23T01:32:30.3085681Z 
2022-11-23T01:32:30.3085756Z if __name__ == "__main__":
2022-11-23T01:32:30.3085880Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3086012Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3086224Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3086432Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3086554Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3086560Z 
2022-11-23T01:32:30.3086632Z ok (1.596s)
2022-11-23T01:32:30.3086934Z   test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3087244Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3087465Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3087721Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3088001Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3088316Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3088657Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3088975Z [2022-11-23 01:26:58,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3089338Z [2022-11-23 01:26:58,207] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230> 
2022-11-23T01:32:30.3089446Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3089552Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:30.3089642Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3089740Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3089819Z                8 BINARY_ADD
2022-11-23T01:32:30.3089961Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.3090056Z               12 CALL_METHOD              2
2022-11-23T01:32:30.3090156Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3090258Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:30.3090348Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3090472Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:30.3090568Z               22 CALL_METHOD              2
2022-11-23T01:32:30.3090668Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3090768Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:30.3090883Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3090982Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:30.3091070Z               32 CALL_METHOD              2
2022-11-23T01:32:30.3091167Z               34 BUILD_TUPLE              3
2022-11-23T01:32:30.3091252Z               36 RETURN_VALUE
2022-11-23T01:32:30.3091317Z  
2022-11-23T01:32:30.3091322Z 
2022-11-23T01:32:30.3091638Z [2022-11-23 01:26:58,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231
2022-11-23T01:32:30.3091860Z [2022-11-23 01:26:58,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3092273Z [2022-11-23 01:26:58,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3092601Z [2022-11-23 01:26:58,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3092944Z [2022-11-23 01:26:58,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3093318Z [2022-11-23 01:26:58,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3093657Z [2022-11-23 01:26:58,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3094039Z [2022-11-23 01:26:58,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3094289Z [2022-11-23 01:26:58,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.3094675Z [2022-11-23 01:26:58,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3095021Z [2022-11-23 01:26:58,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3095387Z [2022-11-23 01:26:58,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3095797Z [2022-11-23 01:26:58,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3096070Z [2022-11-23 01:26:58,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3096485Z [2022-11-23 01:26:58,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3096853Z [2022-11-23 01:26:58,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3097314Z [2022-11-23 01:26:58,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3097750Z [2022-11-23 01:26:58,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3098068Z [2022-11-23 01:26:58,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3098317Z [2022-11-23 01:26:58,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3098687Z [2022-11-23 01:26:58,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230>
2022-11-23T01:32:30.3099125Z [2022-11-23 01:26:58,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3099367Z [2022-11-23 01:26:58,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3099627Z [2022-11-23 01:26:58,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3099883Z [2022-11-23 01:26:58,225] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3100075Z [2022-11-23 01:26:58,226] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3100217Z  __compiled_fn_218 <eval_with_key>.1352 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3100314Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3100410Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3100586Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3100826Z call_function, softmax, <built-in method softmax of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:30.3101072Z call_function, softmax_1, <built-in method softmax of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:30.3101314Z call_function, softmax_2, <built-in method softmax of type object at 0x7f209c394c60>, (ex_1_, 1), {}
2022-11-23T01:32:30.3101452Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T01:32:30.3101458Z 
2022-11-23T01:32:30.3101789Z [2022-11-23 01:26:58,226] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3101890Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3101989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3102076Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3102175Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3102267Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3102361Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3102445Z              12 RETURN_VALUE
2022-11-23T01:32:30.3102451Z 
2022-11-23T01:32:30.3102518Z  
2022-11-23T01:32:30.3102845Z [2022-11-23 01:26:58,226] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3102964Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_218)
2022-11-23T01:32:30.3103055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3103154Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3103238Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3103333Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3103430Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3103512Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3103611Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3103717Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3103828Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3103986Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3104071Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3104178Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3104302Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3104383Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3104487Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3104581Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3104662Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3104756Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.3104838Z              38 RETURN_VALUE
2022-11-23T01:32:30.3104843Z 
2022-11-23T01:32:30.3104910Z  
2022-11-23T01:32:30.3105098Z [2022-11-23 01:26:58,227] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3105168Z  - 
2022-11-23T01:32:30.3105293Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3105364Z             {
2022-11-23T01:32:30.3105512Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3105706Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3105833Z                 'obj_weakref': None
2022-11-23T01:32:30.3106055Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3106119Z             }
2022-11-23T01:32:30.3106189Z             
2022-11-23T01:32:30.3106265Z  - 
2022-11-23T01:32:30.3106393Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3106462Z             {
2022-11-23T01:32:30.3106609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3106721Z                 'code': None,
2022-11-23T01:32:30.3106923Z                 'obj_weakref': <weakref at 0x7f20233e4450; to 'Tensor' at 0x7f20233c85e0>
2022-11-23T01:32:30.3107173Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3107245Z             }
2022-11-23T01:32:30.3107315Z             
2022-11-23T01:32:30.3107391Z  - 
2022-11-23T01:32:30.3107519Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3107591Z             {
2022-11-23T01:32:30.3107734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3107846Z                 'code': None,
2022-11-23T01:32:30.3108050Z                 'obj_weakref': <weakref at 0x7f2023354ef0; to 'Tensor' at 0x7f2127975210>
2022-11-23T01:32:30.3108293Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3108363Z             }
2022-11-23T01:32:30.3108432Z             
2022-11-23T01:32:30.3108507Z  - 
2022-11-23T01:32:30.3108637Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3108706Z             {
2022-11-23T01:32:30.3108845Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3109022Z                 'code': ['___check_obj_id(model, 139780374684880)'],
2022-11-23T01:32:30.3109148Z                 'obj_weakref': None
2022-11-23T01:32:30.3109375Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3109445Z             }
2022-11-23T01:32:30.3109507Z             
2022-11-23T01:32:30.3109584Z  - 
2022-11-23T01:32:30.3109709Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3109777Z             {
2022-11-23T01:32:30.3109917Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3110140Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3110322Z                 'obj_weakref': None
2022-11-23T01:32:30.3110566Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3110651Z             }
2022-11-23T01:32:30.3110730Z             
2022-11-23T01:32:30.3110807Z  - 
2022-11-23T01:32:30.3110945Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3111051Z             {
2022-11-23T01:32:30.3111175Z                 'guard_types': None,
2022-11-23T01:32:30.3111279Z                 'code': None,
2022-11-23T01:32:30.3111401Z                 'obj_weakref': None
2022-11-23T01:32:30.3111552Z                 'guarded_class': None
2022-11-23T01:32:30.3111622Z             }
2022-11-23T01:32:30.3111690Z             
2022-11-23T01:32:30.3111954Z [2022-11-23 01:26:58,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210
2022-11-23T01:32:30.3111960Z 
2022-11-23T01:32:30.3112064Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3112132Z import torch
2022-11-23T01:32:30.3112209Z import random
2022-11-23T01:32:30.3112329Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3112461Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3112467Z 
2022-11-23T01:32:30.3112551Z aten = torch.ops.aten
2022-11-23T01:32:30.3112692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3112792Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3112798Z 
2022-11-23T01:32:30.3112872Z import triton
2022-11-23T01:32:30.3112959Z import triton.language as tl
2022-11-23T01:32:30.3113090Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3113232Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3113238Z 
2022-11-23T01:32:30.3113243Z 
2022-11-23T01:32:30.3113381Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3113591Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3113713Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3113824Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.3113931Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:30.3114036Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3114150Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3114257Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3114361Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3114462Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.3114569Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:30.3114669Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:30.3114766Z                        float* __restrict__ out_ptr8)
2022-11-23T01:32:30.3114832Z {
2022-11-23T01:32:30.3114924Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:32:30.3115013Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:32:30.3115101Z     auto out_ptr5 = in_out_ptr2;
2022-11-23T01:32:30.3115202Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3115269Z     {
2022-11-23T01:32:30.3115345Z         #pragma omp for 
2022-11-23T01:32:30.3115435Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3115504Z         {
2022-11-23T01:32:30.3115574Z             {
2022-11-23T01:32:30.3115945Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.3116187Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.3116315Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3116522Z                 float tmp4 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.3116645Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.3116741Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3116812Z                 {
2022-11-23T01:32:30.3116963Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3117112Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3117244Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3117373Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:32:30.3117497Z                     tmp4_vec = at::vec::maximum(tmp4_vec, tmp1);
2022-11-23T01:32:30.3117586Z                 }
2022-11-23T01:32:30.3117806Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:32:30.3118014Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp4_vec);
2022-11-23T01:32:30.3118168Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3) reduction(max:tmp4)
2022-11-23T01:32:30.3118264Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3118336Z                 {
2022-11-23T01:32:30.3118444Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3118550Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.3118648Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3118748Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:30.3118856Z                     tmp4 = std::max(tmp4, tmp1);
2022-11-23T01:32:30.3118933Z                 }
2022-11-23T01:32:30.3119021Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.3119110Z                 out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.3119179Z             }
2022-11-23T01:32:30.3119248Z         }
2022-11-23T01:32:30.3119326Z         #pragma omp for 
2022-11-23T01:32:30.3119415Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3119484Z         {
2022-11-23T01:32:30.3119552Z             {
2022-11-23T01:32:30.3119623Z                 {
2022-11-23T01:32:30.3119840Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.3119938Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.3120005Z                     {
2022-11-23T01:32:30.3120081Z                         {
2022-11-23T01:32:30.3120193Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.3120306Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:30.3120385Z                         }
2022-11-23T01:32:30.3120460Z                     }
2022-11-23T01:32:30.3120552Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:32:30.3120616Z                 }
2022-11-23T01:32:30.3120685Z             }
2022-11-23T01:32:30.3120753Z         }
2022-11-23T01:32:30.3120836Z         #pragma omp for 
2022-11-23T01:32:30.3120922Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3120991Z         {
2022-11-23T01:32:30.3121054Z             {
2022-11-23T01:32:30.3121252Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3121340Z                 float tmp12 = 0;
2022-11-23T01:32:30.3121471Z                 auto tmp12_vec = at::vec::Vectorized<float>(tmp12);
2022-11-23T01:32:30.3121569Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3121642Z                 {
2022-11-23T01:32:30.3121790Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3121943Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3122102Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.3122258Z                     auto tmp6 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i1);
2022-11-23T01:32:30.3122397Z                     auto tmp9 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T01:32:30.3122495Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3122633Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.3122732Z                     auto tmp5 = tmp4.exp();
2022-11-23T01:32:30.3122870Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:30.3122993Z                     auto tmp8 = tmp7.exp();
2022-11-23T01:32:30.3123130Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T01:32:30.3123232Z                     auto tmp11 = tmp10.exp();
2022-11-23T01:32:30.3123346Z                     tmp5.store(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3123484Z                     tmp8.store(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3123600Z                     tmp11.store(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3123690Z                     tmp12_vec += tmp5;
2022-11-23T01:32:30.3123760Z                 }
2022-11-23T01:32:30.3123969Z                 tmp12 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp12_vec);
2022-11-23T01:32:30.3124089Z                 #pragma omp simd simdlen(4)  reduction(+:tmp12)
2022-11-23T01:32:30.3124183Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3124253Z                 {
2022-11-23T01:32:30.3124360Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3124467Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.3124566Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:30.3124664Z                     auto tmp6 = out_ptr2[i1];
2022-11-23T01:32:30.3124758Z                     auto tmp9 = out_ptr1[i0];
2022-11-23T01:32:30.3124854Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3124994Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:30.3125098Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T01:32:30.3125234Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:30.3125338Z                     auto tmp8 = std::exp(tmp7);
2022-11-23T01:32:30.3125478Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T01:32:30.3125586Z                     auto tmp11 = std::exp(tmp10);
2022-11-23T01:32:30.3125678Z                     out_ptr3[i1 + (8*i0)] = tmp5;
2022-11-23T01:32:30.3125777Z                     out_ptr4[i1 + (8*i0)] = tmp8;
2022-11-23T01:32:30.3125880Z                     out_ptr5[i1 + (8*i0)] = tmp11;
2022-11-23T01:32:30.3125965Z                     tmp12 += tmp5;
2022-11-23T01:32:30.3126035Z                 }
2022-11-23T01:32:30.3126124Z                 out_ptr6[i0] = tmp12;
2022-11-23T01:32:30.3126197Z             }
2022-11-23T01:32:30.3126259Z         }
2022-11-23T01:32:30.3126341Z         #pragma omp for 
2022-11-23T01:32:30.3126429Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3126500Z         {
2022-11-23T01:32:30.3126570Z             {
2022-11-23T01:32:30.3126641Z                 {
2022-11-23T01:32:30.3126723Z                     float tmp1 = 0;
2022-11-23T01:32:30.3126818Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.3126889Z                     {
2022-11-23T01:32:30.3126965Z                         {
2022-11-23T01:32:30.3127078Z                             auto tmp0 = out_ptr4[i0 + (8*i1)];
2022-11-23T01:32:30.3127166Z                             tmp1 += tmp0;
2022-11-23T01:32:30.3127242Z                         }
2022-11-23T01:32:30.3127311Z                     }
2022-11-23T01:32:30.3127402Z                     out_ptr7[i0] = tmp1;
2022-11-23T01:32:30.3127473Z                 }
2022-11-23T01:32:30.3127544Z             }
2022-11-23T01:32:30.3127615Z         }
2022-11-23T01:32:30.3127699Z         #pragma omp for 
2022-11-23T01:32:30.3127786Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3127848Z         {
2022-11-23T01:32:30.3127917Z             {
2022-11-23T01:32:30.3128117Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3128203Z                 float tmp1 = 0;
2022-11-23T01:32:30.3128334Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3128430Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3128501Z                 {
2022-11-23T01:32:30.3128645Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3128766Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.3128841Z                 }
2022-11-23T01:32:30.3129043Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.3129192Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.3129290Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3129361Z                 {
2022-11-23T01:32:30.3129469Z                     auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:32:30.3129547Z                     tmp1 += tmp0;
2022-11-23T01:32:30.3129617Z                 }
2022-11-23T01:32:30.3129707Z                 out_ptr8[i0] = tmp1;
2022-11-23T01:32:30.3129779Z             }
2022-11-23T01:32:30.3129845Z         }
2022-11-23T01:32:30.3129928Z         #pragma omp for 
2022-11-23T01:32:30.3130016Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3130078Z         {
2022-11-23T01:32:30.3130168Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3130238Z             {
2022-11-23T01:32:30.3130386Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3130524Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr6[i0]);
2022-11-23T01:32:30.3130616Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3130732Z                 tmp2.store(in_out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3130795Z             }
2022-11-23T01:32:30.3130896Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.3130989Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3131058Z             {
2022-11-23T01:32:30.3131164Z                 auto tmp0 = out_ptr3[i1 + (8*i0)];
2022-11-23T01:32:30.3131258Z                 auto tmp1 = out_ptr6[i0];
2022-11-23T01:32:30.3131351Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3131445Z                 in_out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:30.3131515Z             }
2022-11-23T01:32:30.3131593Z         }
2022-11-23T01:32:30.3131691Z         #pragma omp for 
2022-11-23T01:32:30.3131789Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3131871Z         {
2022-11-23T01:32:30.3131963Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3132026Z             {
2022-11-23T01:32:30.3132175Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3132320Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr7 + 8*i1);
2022-11-23T01:32:30.3132412Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3132529Z                 tmp2.store(in_out_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3132598Z             }
2022-11-23T01:32:30.3132695Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.3132778Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3132847Z             {
2022-11-23T01:32:30.3132949Z                 auto tmp0 = out_ptr4[i1 + (8*i0)];
2022-11-23T01:32:30.3133045Z                 auto tmp1 = out_ptr7[i1];
2022-11-23T01:32:30.3133140Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3133240Z                 in_out_ptr1[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:30.3133312Z             }
2022-11-23T01:32:30.3133373Z         }
2022-11-23T01:32:30.3133457Z         #pragma omp for 
2022-11-23T01:32:30.3133546Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3133614Z         {
2022-11-23T01:32:30.3133704Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3133773Z             {
2022-11-23T01:32:30.3133920Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3134046Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr8[i0]);
2022-11-23T01:32:30.3134139Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3134251Z                 tmp2.store(in_out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3134320Z             }
2022-11-23T01:32:30.3134417Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.3134539Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3134612Z             {
2022-11-23T01:32:30.3134709Z                 auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:32:30.3134826Z                 auto tmp1 = out_ptr8[i0];
2022-11-23T01:32:30.3134919Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3135019Z                 in_out_ptr2[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:30.3135088Z             }
2022-11-23T01:32:30.3135157Z         }
2022-11-23T01:32:30.3135224Z     }
2022-11-23T01:32:30.3135284Z }
2022-11-23T01:32:30.3135375Z ''')
2022-11-23T01:32:30.3135382Z 
2022-11-23T01:32:30.3135386Z 
2022-11-23T01:32:30.3135483Z async_compile.wait(globals())
2022-11-23T01:32:30.3135561Z del async_compile
2022-11-23T01:32:30.3135566Z 
2022-11-23T01:32:30.3135643Z def call(args):
2022-11-23T01:32:30.3135724Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3135800Z     args.clear()
2022-11-23T01:32:30.3135995Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3136196Z     buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3136389Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3136586Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3136779Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3136973Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3137163Z     buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3137351Z     buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3137531Z     buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3137624Z     buf9 = buf1; del buf1  # reuse
2022-11-23T01:32:30.3137716Z     buf10 = buf4; del buf4  # reuse
2022-11-23T01:32:30.3137809Z     buf11 = buf7; del buf7  # reuse
2022-11-23T01:32:30.3138160Z     kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:30.3138239Z     del arg0_1
2022-11-23T01:32:30.3138311Z     del arg1_1
2022-11-23T01:32:30.3138406Z     return (buf9, buf10, buf11, )
2022-11-23T01:32:30.3138411Z 
2022-11-23T01:32:30.3138416Z 
2022-11-23T01:32:30.3138499Z if __name__ == "__main__":
2022-11-23T01:32:30.3138615Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3138745Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3139133Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3139330Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3139454Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3139810Z [2022-11-23 01:26:59,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjng3543q27w4d63hoosejycule4v2hjdggbknkwnhozaetnzqjo.py
2022-11-23T01:32:30.3140088Z [2022-11-23 01:26:59,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210
2022-11-23T01:32:30.3140094Z 
2022-11-23T01:32:30.3140169Z ok (1.739s)
2022-11-23T01:32:30.3140490Z   test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3140805Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3141030Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3141336Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3141621Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3142004Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3142376Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3142696Z [2022-11-23 01:26:59,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3143070Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345> 
2022-11-23T01:32:30.3143175Z  2346           0 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3143269Z                2 STORE_FAST               1 (dim)
2022-11-23T01:32:30.3143281Z 
2022-11-23T01:32:30.3143380Z 2347           4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3143479Z                6 LOAD_ATTR                1 (amax)
2022-11-23T01:32:30.3143578Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3143676Z               10 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.3143776Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:30.3143938Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:30.3144036Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.3144130Z               18 STORE_FAST               2 (x_max)
2022-11-23T01:32:30.3144135Z 
2022-11-23T01:32:30.3144237Z 2348          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3144336Z               22 LOAD_METHOD              2 (exp)
2022-11-23T01:32:30.3144434Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3144536Z               26 LOAD_FAST                2 (x_max)
2022-11-23T01:32:30.3144624Z               28 BINARY_MULTIPLY
2022-11-23T01:32:30.3144723Z               30 CALL_METHOD              1
2022-11-23T01:32:30.3144830Z               32 STORE_FAST               3 (unnormalized)
2022-11-23T01:32:30.3144841Z 
2022-11-23T01:32:30.3144945Z 2349          34 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:30.3145045Z               36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3145142Z               38 LOAD_ATTR                3 (sum)
2022-11-23T01:32:30.3145251Z               40 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:30.3145350Z               42 LOAD_FAST                1 (dim)
2022-11-23T01:32:30.3145449Z               44 LOAD_CONST               2 (True)
2022-11-23T01:32:30.3145609Z               46 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:30.3145704Z               48 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.3145795Z               50 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.3145899Z               52 STORE_FAST               4 (result)
2022-11-23T01:32:30.3145907Z 
2022-11-23T01:32:30.3146007Z 2350          54 LOAD_FAST                4 (result)
2022-11-23T01:32:30.3146090Z               56 RETURN_VALUE
2022-11-23T01:32:30.3146156Z  
2022-11-23T01:32:30.3146162Z 
2022-11-23T01:32:30.3146479Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2346
2022-11-23T01:32:30.3146703Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 []
2022-11-23T01:32:30.3146953Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)]
2022-11-23T01:32:30.3147309Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2347
2022-11-23T01:32:30.3147536Z [2022-11-23 01:26:59,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3147902Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3148248Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3148595Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3148979Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3149417Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3149890Z [2022-11-23 01:26:59,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.3150139Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()]
2022-11-23T01:32:30.3150538Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2348
2022-11-23T01:32:30.3150777Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3151132Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3151443Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3151787Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3152169Z [2022-11-23 01:26:59,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3152509Z [2022-11-23 01:26:59,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3152769Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()]
2022-11-23T01:32:30.3153084Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2349
2022-11-23T01:32:30.3153316Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized []
2022-11-23T01:32:30.3153566Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.3153958Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3154319Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3154724Z [2022-11-23 01:26:59,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3155150Z [2022-11-23 01:26:59,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3155750Z [2022-11-23 01:26:59,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3156258Z [2022-11-23 01:26:59,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.3156552Z [2022-11-23 01:26:59,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3156806Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()]
2022-11-23T01:32:30.3157128Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2350
2022-11-23T01:32:30.3157351Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result []
2022-11-23T01:32:30.3157600Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3157984Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345>
2022-11-23T01:32:30.3158239Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3158484Z [2022-11-23 01:26:59,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3158744Z [2022-11-23 01:26:59,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3158995Z [2022-11-23 01:26:59,957] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3159190Z [2022-11-23 01:26:59,957] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3159332Z  __compiled_fn_219 <eval_with_key>.1358 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3159429Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3159681Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (ex_0_, 1), {'keepdim': True}
2022-11-23T01:32:30.3159866Z call_function, mul, <built-in function mul>, (ex_0_, amax), {}
2022-11-23T01:32:30.3160090Z call_function, exp, <built-in method exp of type object at 0x7f209c394c60>, (mul,), {}
2022-11-23T01:32:30.3160339Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (exp, 1), {'keepdim': True}
2022-11-23T01:32:30.3160529Z call_function, truediv, <built-in function truediv>, (exp, sum_1), {}
2022-11-23T01:32:30.3160638Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:30.3160644Z 
2022-11-23T01:32:30.3160977Z [2022-11-23 01:26:59,958] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3161079Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3161177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3161274Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3161375Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3161468Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3161557Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3161688Z              12 RETURN_VALUE
2022-11-23T01:32:30.3161695Z 
2022-11-23T01:32:30.3161778Z  
2022-11-23T01:32:30.3162145Z [2022-11-23 01:26:59,958] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3162288Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_219)
2022-11-23T01:32:30.3162386Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3162484Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3162569Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3162657Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3162754Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3162836Z              12 RETURN_VALUE
2022-11-23T01:32:30.3162842Z 
2022-11-23T01:32:30.3162912Z  
2022-11-23T01:32:30.3163104Z [2022-11-23 01:26:59,958] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3163187Z  - 
2022-11-23T01:32:30.3163318Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3163391Z             {
2022-11-23T01:32:30.3163530Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3163727Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3163856Z                 'obj_weakref': None
2022-11-23T01:32:30.3164083Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3164154Z             }
2022-11-23T01:32:30.3164224Z             
2022-11-23T01:32:30.3164302Z  - 
2022-11-23T01:32:30.3164424Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3164501Z             {
2022-11-23T01:32:30.3164650Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3164764Z                 'code': None,
2022-11-23T01:32:30.3164971Z                 'obj_weakref': <weakref at 0x7f2072810450; to 'Tensor' at 0x7f212796b5b0>
2022-11-23T01:32:30.3165226Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3165299Z             }
2022-11-23T01:32:30.3165362Z             
2022-11-23T01:32:30.3165439Z  - 
2022-11-23T01:32:30.3165583Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3165653Z             {
2022-11-23T01:32:30.3165795Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3165972Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:30.3166096Z                 'obj_weakref': None
2022-11-23T01:32:30.3173147Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3173232Z             }
2022-11-23T01:32:30.3173297Z             
2022-11-23T01:32:30.3173390Z  - 
2022-11-23T01:32:30.3173525Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3173595Z             {
2022-11-23T01:32:30.3173739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3173965Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3174090Z                 'obj_weakref': None
2022-11-23T01:32:30.3174307Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3174380Z             }
2022-11-23T01:32:30.3174449Z             
2022-11-23T01:32:30.3174526Z  - 
2022-11-23T01:32:30.3174663Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3174734Z             {
2022-11-23T01:32:30.3174861Z                 'guard_types': None,
2022-11-23T01:32:30.3174967Z                 'code': None,
2022-11-23T01:32:30.3175091Z                 'obj_weakref': None
2022-11-23T01:32:30.3175217Z                 'guarded_class': None
2022-11-23T01:32:30.3175286Z             }
2022-11-23T01:32:30.3175356Z             
2022-11-23T01:32:30.3175620Z [2022-11-23 01:26:59,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211
2022-11-23T01:32:30.3176044Z [2022-11-23 01:27:01,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuvvnwzckrwnxf4tw6uff2dl5vunm3tsfayyepv5jcqi5cd6g4jz.py
2022-11-23T01:32:30.3176304Z [2022-11-23 01:27:01,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211
2022-11-23T01:32:30.3176342Z 
2022-11-23T01:32:30.3176436Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3176514Z import torch
2022-11-23T01:32:30.3176590Z import random
2022-11-23T01:32:30.3176713Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3176839Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3176845Z 
2022-11-23T01:32:30.3176930Z aten = torch.ops.aten
2022-11-23T01:32:30.3177070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3177162Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3177167Z 
2022-11-23T01:32:30.3177241Z import triton
2022-11-23T01:32:30.3177335Z import triton.language as tl
2022-11-23T01:32:30.3177466Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3177611Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3177617Z 
2022-11-23T01:32:30.3177625Z 
2022-11-23T01:32:30.3177763Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3177981Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3178105Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3178212Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3178321Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3178424Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.3178492Z {
2022-11-23T01:32:30.3178586Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:30.3178689Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3178756Z     {
2022-11-23T01:32:30.3179137Z         #pragma omp for 
2022-11-23T01:32:30.3179234Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.3179303Z         {
2022-11-23T01:32:30.3179371Z             {
2022-11-23T01:32:30.3179746Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:30.3179967Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.3180097Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3180193Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3180257Z                 {
2022-11-23T01:32:30.3180409Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3180535Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T01:32:30.3180605Z                 }
2022-11-23T01:32:30.3180825Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T01:32:30.3180957Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T01:32:30.3181054Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.3181128Z                 {
2022-11-23T01:32:30.3181230Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.3181336Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:30.3181407Z                 }
2022-11-23T01:32:30.3181495Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.3181564Z             }
2022-11-23T01:32:30.3181632Z         }
2022-11-23T01:32:30.3181715Z         #pragma omp for 
2022-11-23T01:32:30.3181797Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.3181864Z         {
2022-11-23T01:32:30.3181931Z             {
2022-11-23T01:32:30.3182126Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3182266Z                 float tmp4 = 0;
2022-11-23T01:32:30.3182398Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:30.3182498Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3182595Z                 {
2022-11-23T01:32:30.3182748Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3182885Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.3182984Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3183083Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:32:30.3183196Z                     tmp3.store(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3183287Z                     tmp4_vec += tmp3;
2022-11-23T01:32:30.3183358Z                 }
2022-11-23T01:32:30.3183552Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:30.3183683Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:32:30.3183780Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.3183850Z                 {
2022-11-23T01:32:30.3183966Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.3184067Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:30.3184166Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3184271Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.3184364Z                     out_ptr1[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:30.3184448Z                     tmp4 += tmp3;
2022-11-23T01:32:30.3184518Z                 }
2022-11-23T01:32:30.3184606Z                 out_ptr2[i0] = tmp4;
2022-11-23T01:32:30.3184675Z             }
2022-11-23T01:32:30.3184743Z         }
2022-11-23T01:32:30.3184819Z         #pragma omp for 
2022-11-23T01:32:30.3184907Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.3184975Z         {
2022-11-23T01:32:30.3185068Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3185137Z             {
2022-11-23T01:32:30.3185288Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3185427Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:30.3185521Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3185630Z                 tmp2.store(in_out_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3185700Z             }
2022-11-23T01:32:30.3185798Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.3185890Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:30.3185960Z             {
2022-11-23T01:32:30.3186064Z                 auto tmp0 = out_ptr1[i1 + (32*i0)];
2022-11-23T01:32:30.3186157Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:30.3186243Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3186343Z                 in_out_ptr0[i1 + (32*i0)] = tmp2;
2022-11-23T01:32:30.3186416Z             }
2022-11-23T01:32:30.3186485Z         }
2022-11-23T01:32:30.3186552Z     }
2022-11-23T01:32:30.3186617Z }
2022-11-23T01:32:30.3186699Z ''')
2022-11-23T01:32:30.3186705Z 
2022-11-23T01:32:30.3186720Z 
2022-11-23T01:32:30.3186810Z async_compile.wait(globals())
2022-11-23T01:32:30.3186891Z del async_compile
2022-11-23T01:32:30.3186896Z 
2022-11-23T01:32:30.3186971Z def call(args):
2022-11-23T01:32:30.3187047Z     arg0_1, = args
2022-11-23T01:32:30.3187124Z     args.clear()
2022-11-23T01:32:30.3187328Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3187530Z     buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3187723Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3187815Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:30.3188035Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.3188112Z     del arg0_1
2022-11-23T01:32:30.3188189Z     return (buf3, )
2022-11-23T01:32:30.3188195Z 
2022-11-23T01:32:30.3188199Z 
2022-11-23T01:32:30.3188284Z if __name__ == "__main__":
2022-11-23T01:32:30.3188431Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3188561Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3188758Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3188871Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3188876Z 
2022-11-23T01:32:30.3188950Z ok (1.603s)
2022-11-23T01:32:30.3189251Z   test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3189568Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3189795Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3190057Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3190421Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3190788Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3191489Z [2022-11-23 01:27:01,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3191808Z [2022-11-23 01:27:01,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3192188Z [2022-11-23 01:27:01,549] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091> 
2022-11-23T01:32:30.3192308Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3192436Z                2 LOAD_METHOD              1 (sort)
2022-11-23T01:32:30.3192533Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3192628Z                6 CALL_METHOD              1
2022-11-23T01:32:30.3192716Z                8 RETURN_VALUE
2022-11-23T01:32:30.3192775Z  
2022-11-23T01:32:30.3192788Z 
2022-11-23T01:32:30.3193092Z [2022-11-23 01:27:01,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092
2022-11-23T01:32:30.3193314Z [2022-11-23 01:27:01,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3193679Z [2022-11-23 01:27:01,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3193993Z [2022-11-23 01:27:01,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3194345Z [2022-11-23 01:27:01,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3194603Z [2022-11-23 01:27:01,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:30.3194981Z [2022-11-23 01:27:01,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091>
2022-11-23T01:32:30.3195241Z [2022-11-23 01:27:01,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:30.3195515Z [2022-11-23 01:27:01,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3195778Z [2022-11-23 01:27:01,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3196051Z [2022-11-23 01:27:01,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3196245Z [2022-11-23 01:27:01,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3196387Z  __compiled_fn_220 <eval_with_key>.1364 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3196481Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3196708Z call_function, sort, <built-in method sort of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.3196902Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:32:30.3197096Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T01:32:30.3197215Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.3197223Z 
2022-11-23T01:32:30.3197547Z [2022-11-23 01:27:01,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3197652Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3197750Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3197843Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3197943Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3198035Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3198131Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3198216Z              12 RETURN_VALUE
2022-11-23T01:32:30.3198222Z 
2022-11-23T01:32:30.3198281Z  
2022-11-23T01:32:30.3198610Z [2022-11-23 01:27:01,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3198730Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_220)
2022-11-23T01:32:30.3198828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3198926Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:30.3199014Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3199108Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3199213Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3199409Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T01:32:30.3199521Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3199617Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:30.3199700Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.3199810Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3199904Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:30.3199985Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.3200073Z              26 BUILD_TUPLE              2
2022-11-23T01:32:30.3200169Z              28 CALL_FUNCTION            1
2022-11-23T01:32:30.3200250Z              30 RETURN_VALUE
2022-11-23T01:32:30.3200256Z 
2022-11-23T01:32:30.3200324Z  
2022-11-23T01:32:30.3200512Z [2022-11-23 01:27:01,556] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3200589Z  - 
2022-11-23T01:32:30.3200713Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3200776Z             {
2022-11-23T01:32:30.3200921Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3201112Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3201236Z                 'obj_weakref': None
2022-11-23T01:32:30.3201460Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3201534Z             }
2022-11-23T01:32:30.3201603Z             
2022-11-23T01:32:30.3201673Z  - 
2022-11-23T01:32:30.3201824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3201946Z             {
2022-11-23T01:32:30.3202110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3202222Z                 'code': None,
2022-11-23T01:32:30.3202433Z                 'obj_weakref': <weakref at 0x7f207272b330; to 'Tensor' at 0x7f21279b9170>
2022-11-23T01:32:30.3202752Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3202815Z             }
2022-11-23T01:32:30.3202884Z             
2022-11-23T01:32:30.3202962Z  - 
2022-11-23T01:32:30.3203099Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3203168Z             {
2022-11-23T01:32:30.3203309Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3203483Z                 'code': ['___check_obj_id(model, 139780374682720)'],
2022-11-23T01:32:30.3203601Z                 'obj_weakref': None
2022-11-23T01:32:30.3203839Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3203909Z             }
2022-11-23T01:32:30.3203977Z             
2022-11-23T01:32:30.3204052Z  - 
2022-11-23T01:32:30.3204179Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3204252Z             {
2022-11-23T01:32:30.3204387Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3204612Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3204736Z                 'obj_weakref': None
2022-11-23T01:32:30.3204963Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3205032Z             }
2022-11-23T01:32:30.3205102Z             
2022-11-23T01:32:30.3205175Z  - 
2022-11-23T01:32:30.3205307Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3205377Z             {
2022-11-23T01:32:30.3205502Z                 'guard_types': None,
2022-11-23T01:32:30.3205616Z                 'code': None,
2022-11-23T01:32:30.3205742Z                 'obj_weakref': None
2022-11-23T01:32:30.3205869Z                 'guarded_class': None
2022-11-23T01:32:30.3205938Z             }
2022-11-23T01:32:30.3206000Z             
2022-11-23T01:32:30.3206267Z [2022-11-23 01:27:01,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212
2022-11-23T01:32:30.3206484Z [2022-11-23 01:27:01,561] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:32:30.3206847Z [2022-11-23 01:27:01,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aq/caqlzbvi2bcackcqocbhck2r7lofvxlr54faxgy32y6kmv2v4jij.py
2022-11-23T01:32:30.3207117Z [2022-11-23 01:27:01,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212
2022-11-23T01:32:30.3207123Z 
2022-11-23T01:32:30.3207226Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3207303Z import torch
2022-11-23T01:32:30.3207378Z import random
2022-11-23T01:32:30.3207497Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3207627Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3207632Z 
2022-11-23T01:32:30.3207721Z aten = torch.ops.aten
2022-11-23T01:32:30.3207862Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3207961Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3207967Z 
2022-11-23T01:32:30.3208042Z import triton
2022-11-23T01:32:30.3208136Z import triton.language as tl
2022-11-23T01:32:30.3208258Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3208403Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3208409Z 
2022-11-23T01:32:30.3208413Z 
2022-11-23T01:32:30.3208510Z async_compile.wait(globals())
2022-11-23T01:32:30.3208587Z del async_compile
2022-11-23T01:32:30.3208592Z 
2022-11-23T01:32:30.3208671Z def call(args):
2022-11-23T01:32:30.3208745Z     arg0_1, = args
2022-11-23T01:32:30.3208822Z     args.clear()
2022-11-23T01:32:30.3208908Z     buf0 = aten.sort(arg0_1)
2022-11-23T01:32:30.3209005Z     del arg0_1
2022-11-23T01:32:30.3209081Z     buf1 = buf0[0]
2022-11-23T01:32:30.3209195Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:30.3209293Z     buf2 = buf0[1]
2022-11-23T01:32:30.3209405Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:30.3209477Z     del buf0
2022-11-23T01:32:30.3209560Z     return (buf1, buf2, )
2022-11-23T01:32:30.3209565Z 
2022-11-23T01:32:30.3209570Z 
2022-11-23T01:32:30.3209644Z if __name__ == "__main__":
2022-11-23T01:32:30.3209763Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3209894Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3210114Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3210229Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3210234Z 
2022-11-23T01:32:30.3210306Z ok (0.019s)
2022-11-23T01:32:30.3210612Z   test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3210931Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3211154Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3211400Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3211703Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3212047Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3212395Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3212720Z [2022-11-23 01:27:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3213099Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:30.3213203Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3213308Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:30.3213405Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3213496Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.3213641Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3213736Z               10 CALL_METHOD              3
2022-11-23T01:32:30.3213833Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:30.3213840Z 
2022-11-23T01:32:30.3213936Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3214031Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:30.3214115Z               18 BINARY_SUBSCR
2022-11-23T01:32:30.3214203Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3214299Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:30.3214382Z               24 BINARY_SUBSCR
2022-11-23T01:32:30.3214476Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3214572Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:30.3214655Z               30 BINARY_SUBSCR
2022-11-23T01:32:30.3214746Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3214837Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:30.3214913Z               36 BINARY_SUBSCR
2022-11-23T01:32:30.3215007Z               38 BUILD_TUPLE              4
2022-11-23T01:32:30.3215091Z               40 RETURN_VALUE
2022-11-23T01:32:30.3215185Z  
2022-11-23T01:32:30.3215191Z 
2022-11-23T01:32:30.3215514Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:30.3215760Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3216120Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3216407Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:30.3216715Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3217069Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3217456Z [2022-11-23 01:27:01,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3217704Z [2022-11-23 01:27:01,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:30.3218016Z [2022-11-23 01:27:01,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:30.3218230Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:30.3218473Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.3218763Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3219190Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:30.3219461Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3219771Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3220040Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3220336Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3220677Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3220975Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3221293Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3221663Z [2022-11-23 01:27:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3221990Z [2022-11-23 01:27:01,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3222242Z [2022-11-23 01:27:01,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3222666Z [2022-11-23 01:27:01,573] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:30.3222921Z [2022-11-23 01:27:01,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3223181Z [2022-11-23 01:27:01,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3223438Z [2022-11-23 01:27:01,574] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3223692Z [2022-11-23 01:27:01,578] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3223887Z [2022-11-23 01:27:01,578] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3224029Z  __compiled_fn_221 <eval_with_key>.1370 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3224126Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3224332Z call_function, split, <function split at 0x7f2073b11000>, (ex_0_, 3, -1), {}
2022-11-23T01:32:30.3224530Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.3224728Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:30.3224913Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:30.3225103Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:30.3225247Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:30.3225253Z 
2022-11-23T01:32:30.3225582Z [2022-11-23 01:27:01,579] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3225684Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3225781Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3225875Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3225976Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3226064Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3226158Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3226240Z              12 RETURN_VALUE
2022-11-23T01:32:30.3226245Z 
2022-11-23T01:32:30.3226314Z  
2022-11-23T01:32:30.3226641Z [2022-11-23 01:27:01,579] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3226760Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_221)
2022-11-23T01:32:30.3226857Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3226948Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3227032Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3227127Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3227238Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3227348Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3227447Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3227529Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3227634Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3227723Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3227807Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3227916Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3228011Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3228094Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3228205Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3228300Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.3228375Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3228469Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.3228550Z              38 RETURN_VALUE
2022-11-23T01:32:30.3228556Z 
2022-11-23T01:32:30.3228622Z  
2022-11-23T01:32:30.3228841Z [2022-11-23 01:27:01,579] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3228919Z  - 
2022-11-23T01:32:30.3229045Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3229108Z             {
2022-11-23T01:32:30.3229256Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3229469Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3229594Z                 'obj_weakref': None
2022-11-23T01:32:30.3229823Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3229895Z             }
2022-11-23T01:32:30.3229964Z             
2022-11-23T01:32:30.3230034Z  - 
2022-11-23T01:32:30.3230164Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3230233Z             {
2022-11-23T01:32:30.3230464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3230598Z                 'code': None,
2022-11-23T01:32:30.3230840Z                 'obj_weakref': <weakref at 0x7f20728102c0; to 'Tensor' at 0x7f202322a390>
2022-11-23T01:32:30.3231128Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3231191Z             }
2022-11-23T01:32:30.3231265Z             
2022-11-23T01:32:30.3231342Z  - 
2022-11-23T01:32:30.3231479Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3231548Z             {
2022-11-23T01:32:30.3231689Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3231866Z                 'code': ['___check_obj_id(model, 139777163576512)'],
2022-11-23T01:32:30.3231983Z                 'obj_weakref': None
2022-11-23T01:32:30.3232218Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3232288Z             }
2022-11-23T01:32:30.3232357Z             
2022-11-23T01:32:30.3232431Z  - 
2022-11-23T01:32:30.3232558Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3232628Z             {
2022-11-23T01:32:30.3232766Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3232991Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3233116Z                 'obj_weakref': None
2022-11-23T01:32:30.3233349Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3233417Z             }
2022-11-23T01:32:30.3233485Z             
2022-11-23T01:32:30.3233561Z  - 
2022-11-23T01:32:30.3233694Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3233763Z             {
2022-11-23T01:32:30.3233889Z                 'guard_types': None,
2022-11-23T01:32:30.3234002Z                 'code': None,
2022-11-23T01:32:30.3234125Z                 'obj_weakref': None
2022-11-23T01:32:30.3234252Z                 'guarded_class': None
2022-11-23T01:32:30.3234321Z             }
2022-11-23T01:32:30.3234383Z             
2022-11-23T01:32:30.3234649Z [2022-11-23 01:27:01,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213
2022-11-23T01:32:30.3235010Z [2022-11-23 01:27:01,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/us/cusf7372f5mfw7gl7eunnsay53bd5rushddfnmido654cregwtxj.py
2022-11-23T01:32:30.3235278Z [2022-11-23 01:27:01,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213
2022-11-23T01:32:30.3235517Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3235830Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3236048Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3236303Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3236622Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3236934Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3237302Z [2022-11-23 01:27:01,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3237623Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3237998Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709> 
2022-11-23T01:32:30.3238102Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:30.3238206Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3238307Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3238387Z                6 BINARY_ADD
2022-11-23T01:32:30.3238486Z                8 CALL_FUNCTION            1
2022-11-23T01:32:30.3238565Z               10 RETURN_VALUE
2022-11-23T01:32:30.3238634Z  
2022-11-23T01:32:30.3238639Z 
2022-11-23T01:32:30.3238951Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710
2022-11-23T01:32:30.3239169Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:30.3239421Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T01:32:30.3239698Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:30.3240026Z [2022-11-23 01:27:01,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3240311Z [2022-11-23 01:27:01,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:30.3240688Z [2022-11-23 01:27:01,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:30.3240785Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3240888Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:30.3240985Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3241082Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.3241226Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3241322Z               10 CALL_METHOD              3
2022-11-23T01:32:30.3241418Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:30.3241424Z 
2022-11-23T01:32:30.3241521Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3241624Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:30.3241717Z               18 BINARY_SUBSCR
2022-11-23T01:32:30.3241831Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3241930Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:30.3242015Z               24 BINARY_SUBSCR
2022-11-23T01:32:30.3242108Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3242201Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:30.3242277Z               30 BINARY_SUBSCR
2022-11-23T01:32:30.3242369Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3242462Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:30.3242545Z               36 BINARY_SUBSCR
2022-11-23T01:32:30.3242641Z               38 BUILD_TUPLE              4
2022-11-23T01:32:30.3242722Z               40 RETURN_VALUE
2022-11-23T01:32:30.3242789Z  
2022-11-23T01:32:30.3242822Z 
2022-11-23T01:32:30.3243128Z [2022-11-23 01:27:01,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:30.3243373Z [2022-11-23 01:27:01,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3243735Z [2022-11-23 01:27:01,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3244021Z [2022-11-23 01:27:01,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:30.3244328Z [2022-11-23 01:27:01,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3244672Z [2022-11-23 01:27:01,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3245055Z [2022-11-23 01:27:01,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3245304Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:30.3245619Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:30.3245831Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:30.3246067Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.3246357Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3246596Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:30.3246866Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3247181Z [2022-11-23 01:27:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3247443Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3247738Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3248077Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3248370Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3248687Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.3249054Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3249369Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3249621Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3250045Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:30.3250296Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3250694Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709>
2022-11-23T01:32:30.3250939Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3251177Z [2022-11-23 01:27:01,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3251440Z [2022-11-23 01:27:01,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3251710Z [2022-11-23 01:27:01,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3251942Z [2022-11-23 01:27:01,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3252077Z  __compiled_fn_222 <eval_with_key>.1376 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3252177Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3252358Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3252562Z call_function, split, <function split at 0x7f2073b11000>, (add, 3, -1), {}
2022-11-23T01:32:30.3252757Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.3252953Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:30.3253144Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:30.3253330Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:30.3253466Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:30.3253472Z 
2022-11-23T01:32:30.3253802Z [2022-11-23 01:27:01,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3253904Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3254011Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3254105Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3254207Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3254301Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3254399Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3254475Z              12 RETURN_VALUE
2022-11-23T01:32:30.3254480Z 
2022-11-23T01:32:30.3254547Z  
2022-11-23T01:32:30.3254874Z [2022-11-23 01:27:01,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3254991Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_222)
2022-11-23T01:32:30.3255089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3255191Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3255273Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3255360Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3255479Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3255616Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.3255721Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.3255815Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.3255920Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.3256029Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3256125Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3256200Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.3256310Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3256435Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3256518Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.3256626Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3256721Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3256825Z              36 BINARY_SUBSCR
2022-11-23T01:32:30.3256925Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3257019Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:30.3257101Z              42 BINARY_SUBSCR
2022-11-23T01:32:30.3257196Z              44 BUILD_TUPLE              4
2022-11-23T01:32:30.3257296Z              46 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3257403Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.3257498Z              50 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3257573Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.3257684Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.3257784Z              56 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3257887Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.3257982Z              60 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3258067Z              62 BINARY_SUBSCR
2022-11-23T01:32:30.3258176Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.3258251Z              66 RETURN_VALUE
2022-11-23T01:32:30.3258265Z 
2022-11-23T01:32:30.3258325Z  
2022-11-23T01:32:30.3258520Z [2022-11-23 01:27:01,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3258597Z  - 
2022-11-23T01:32:30.3258723Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3258982Z             {
2022-11-23T01:32:30.3259134Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3259320Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3259446Z                 'obj_weakref': None
2022-11-23T01:32:30.3259676Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3259747Z             }
2022-11-23T01:32:30.3259815Z             
2022-11-23T01:32:30.3259892Z  - 
2022-11-23T01:32:30.3260024Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3260086Z             {
2022-11-23T01:32:30.3260235Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3260348Z                 'code': None,
2022-11-23T01:32:30.3260562Z                 'obj_weakref': <weakref at 0x7f207272a9d0; to 'Tensor' at 0x7f21159e8f40>
2022-11-23T01:32:30.3260815Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3260887Z             }
2022-11-23T01:32:30.3260958Z             
2022-11-23T01:32:30.3261034Z  - 
2022-11-23T01:32:30.3261163Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3261232Z             {
2022-11-23T01:32:30.3261373Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3261550Z                 'code': ['___check_obj_id(model, 139777163576080)'],
2022-11-23T01:32:30.3261676Z                 'obj_weakref': None
2022-11-23T01:32:30.3261906Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3261978Z             }
2022-11-23T01:32:30.3262040Z             
2022-11-23T01:32:30.3262118Z  - 
2022-11-23T01:32:30.3262245Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3262314Z             {
2022-11-23T01:32:30.3262456Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3262679Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3262804Z                 'obj_weakref': None
2022-11-23T01:32:30.3263024Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3263092Z             }
2022-11-23T01:32:30.3263163Z             
2022-11-23T01:32:30.3263238Z  - 
2022-11-23T01:32:30.3263476Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:30.3263548Z             {
2022-11-23T01:32:30.3263683Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3263926Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139777163576512)'],
2022-11-23T01:32:30.3264051Z                 'obj_weakref': None
2022-11-23T01:32:30.3264283Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3264353Z             }
2022-11-23T01:32:30.3264422Z             
2022-11-23T01:32:30.3264497Z  - 
2022-11-23T01:32:30.3264637Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3264699Z             {
2022-11-23T01:32:30.3264825Z                 'guard_types': None,
2022-11-23T01:32:30.3264936Z                 'code': None,
2022-11-23T01:32:30.3265059Z                 'obj_weakref': None
2022-11-23T01:32:30.3265185Z                 'guarded_class': None
2022-11-23T01:32:30.3265256Z             }
2022-11-23T01:32:30.3265318Z             
2022-11-23T01:32:30.3265579Z [2022-11-23 01:27:01,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214
2022-11-23T01:32:30.3265940Z [2022-11-23 01:27:03,152] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qe/cqe6bvt44pmska6qcl4rnkkmanyf73gwonxsfv2c535cl3dcnft6.py
2022-11-23T01:32:30.3266206Z [2022-11-23 01:27:03,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214
2022-11-23T01:32:30.3266213Z 
2022-11-23T01:32:30.3266312Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3266385Z import torch
2022-11-23T01:32:30.3266460Z import random
2022-11-23T01:32:30.3266583Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3266703Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3266719Z 
2022-11-23T01:32:30.3266795Z aten = torch.ops.aten
2022-11-23T01:32:30.3266940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3267038Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3267043Z 
2022-11-23T01:32:30.3267118Z import triton
2022-11-23T01:32:30.3267213Z import triton.language as tl
2022-11-23T01:32:30.3267346Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3267490Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3267496Z 
2022-11-23T01:32:30.3267501Z 
2022-11-23T01:32:30.3267587Z async_compile.wait(globals())
2022-11-23T01:32:30.3267665Z del async_compile
2022-11-23T01:32:30.3267671Z 
2022-11-23T01:32:30.3267746Z def call(args):
2022-11-23T01:32:30.3267822Z     arg0_1, = args
2022-11-23T01:32:30.3267899Z     args.clear()
2022-11-23T01:32:30.3268097Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T01:32:30.3268103Z 
2022-11-23T01:32:30.3268108Z 
2022-11-23T01:32:30.3268191Z if __name__ == "__main__":
2022-11-23T01:32:30.3268309Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3268439Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3268646Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3268761Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3268766Z 
2022-11-23T01:32:30.3268770Z 
2022-11-23T01:32:30.3268869Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3268942Z import torch
2022-11-23T01:32:30.3269019Z import random
2022-11-23T01:32:30.3269138Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3269262Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3269267Z 
2022-11-23T01:32:30.3269350Z aten = torch.ops.aten
2022-11-23T01:32:30.3269484Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3269581Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3269622Z 
2022-11-23T01:32:30.3269699Z import triton
2022-11-23T01:32:30.3269793Z import triton.language as tl
2022-11-23T01:32:30.3269919Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3270085Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3270091Z 
2022-11-23T01:32:30.3270096Z 
2022-11-23T01:32:30.3270239Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3270514Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3270634Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3270742Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3270811Z {
2022-11-23T01:32:30.3270912Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3270982Z     {
2022-11-23T01:32:30.3271063Z         #pragma omp for 
2022-11-23T01:32:30.3271145Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:30.3271213Z         {
2022-11-23T01:32:30.3271360Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3271502Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3271599Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3271696Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3271765Z         }
2022-11-23T01:32:30.3271868Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3271951Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:30.3272019Z         {
2022-11-23T01:32:30.3272109Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3272214Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.3272303Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3272389Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.3272458Z         }
2022-11-23T01:32:30.3272518Z     }
2022-11-23T01:32:30.3272583Z }
2022-11-23T01:32:30.3272671Z ''')
2022-11-23T01:32:30.3272676Z 
2022-11-23T01:32:30.3272681Z 
2022-11-23T01:32:30.3272776Z async_compile.wait(globals())
2022-11-23T01:32:30.3272854Z del async_compile
2022-11-23T01:32:30.3272859Z 
2022-11-23T01:32:30.3272937Z def call(args):
2022-11-23T01:32:30.3273013Z     arg0_1, = args
2022-11-23T01:32:30.3273085Z     args.clear()
2022-11-23T01:32:30.3273293Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3273432Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3273504Z     del arg0_1
2022-11-23T01:32:30.3273698Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T01:32:30.3273704Z 
2022-11-23T01:32:30.3273708Z 
2022-11-23T01:32:30.3273790Z if __name__ == "__main__":
2022-11-23T01:32:30.3273909Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3274038Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3274243Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3274357Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3274365Z 
2022-11-23T01:32:30.3274437Z ok (1.589s)
2022-11-23T01:32:30.3274750Z   test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3275065Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3275286Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3275539Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3275849Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3276169Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3276540Z [2022-11-23 01:27:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3276850Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3277216Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:30.3277439Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:30.3277694Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:30.3277795Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:30.3277900Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3278000Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:30.3278097Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3278196Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:30.3278278Z               14 BINARY_MULTIPLY
2022-11-23T01:32:30.3278377Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:30.3278515Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:30.3278611Z               20 CALL_METHOD              3
2022-11-23T01:32:30.3278689Z               22 GET_ITER
2022-11-23T01:32:30.3278784Z               24 CALL_FUNCTION            1
2022-11-23T01:32:30.3278866Z               26 RETURN_VALUE
2022-11-23T01:32:30.3278926Z  
2022-11-23T01:32:30.3278933Z 
2022-11-23T01:32:30.3279248Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:30.3279638Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:30.3279987Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:30.3280277Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:30.3280549Z [2022-11-23 01:27:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:30.3280961Z [2022-11-23 01:27:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3281299Z [2022-11-23 01:27:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:30.3281682Z [2022-11-23 01:27:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3282131Z [2022-11-23 01:27:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3282522Z [2022-11-23 01:27:03,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3282908Z [2022-11-23 01:27:03,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.3283350Z [2022-11-23 01:27:03,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3283643Z [2022-11-23 01:27:03,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3283954Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3284332Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:30.3284431Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:30.3284530Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:30.3284633Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:30.3284731Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:30.3284827Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3284920Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:30.3285000Z               12 BINARY_ADD
2022-11-23T01:32:30.3285098Z               14 LIST_APPEND              2
2022-11-23T01:32:30.3285201Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:30.3285285Z          >>   18 RETURN_VALUE
2022-11-23T01:32:30.3285352Z  
2022-11-23T01:32:30.3285357Z 
2022-11-23T01:32:30.3285573Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:30.3285806Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:30.3286079Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3286384Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3286651Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3286954Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3287304Z [2022-11-23 01:27:03,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3287617Z [2022-11-23 01:27:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3287903Z [2022-11-23 01:27:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3288175Z [2022-11-23 01:27:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3288475Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3288752Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3289048Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3289421Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3289732Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3290034Z [2022-11-23 01:27:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3290304Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3290602Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3290875Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3291178Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3291519Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3291819Z [2022-11-23 01:27:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3292112Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3292409Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3292655Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3293050Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:30.3293301Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3293686Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:30.3293931Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3294170Z [2022-11-23 01:27:03,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3294430Z [2022-11-23 01:27:03,168] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3294682Z [2022-11-23 01:27:03,173] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3294879Z [2022-11-23 01:27:03,174] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3295015Z  __compiled_fn_223 <eval_with_key>.1382 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3295114Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3295294Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:30.3295506Z call_function, split, <function split at 0x7f2073b11000>, (mul, [3, 3, 4], -1), {}
2022-11-23T01:32:30.3295698Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.3295891Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:30.3296080Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:30.3296255Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:30.3296442Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:30.3296667Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:30.3296785Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:30.3296790Z 
2022-11-23T01:32:30.3297122Z [2022-11-23 01:27:03,174] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3297246Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3297347Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3297441Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3297535Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3297627Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3297723Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3297806Z              12 RETURN_VALUE
2022-11-23T01:32:30.3297811Z 
2022-11-23T01:32:30.3297877Z  
2022-11-23T01:32:30.3298211Z [2022-11-23 01:27:03,174] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3298328Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_223)
2022-11-23T01:32:30.3298427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3298520Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3298605Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3298702Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3298929Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3299042Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3299138Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3299220Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3299323Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3299419Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3299500Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3299612Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3299707Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3299789Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3299882Z              30 BUILD_LIST               3
2022-11-23T01:32:30.3299961Z              32 RETURN_VALUE
2022-11-23T01:32:30.3299974Z 
2022-11-23T01:32:30.3300033Z  
2022-11-23T01:32:30.3300227Z [2022-11-23 01:27:03,175] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3300304Z  - 
2022-11-23T01:32:30.3300431Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3300504Z             {
2022-11-23T01:32:30.3300654Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3300848Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3300967Z                 'obj_weakref': None
2022-11-23T01:32:30.3301194Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3301266Z             }
2022-11-23T01:32:30.3301337Z             
2022-11-23T01:32:30.3301416Z  - 
2022-11-23T01:32:30.3301550Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3301629Z             {
2022-11-23T01:32:30.3301795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3301922Z                 'code': None,
2022-11-23T01:32:30.3302130Z                 'obj_weakref': <weakref at 0x7f206802a390; to 'Tensor' at 0x7f2115e06e30>
2022-11-23T01:32:30.3302381Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3302450Z             }
2022-11-23T01:32:30.3302519Z             
2022-11-23T01:32:30.3302593Z  - 
2022-11-23T01:32:30.3302713Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:30.3302782Z             {
2022-11-23T01:32:30.3302955Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.3303374Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [3, 3, 4]'],
2022-11-23T01:32:30.3303502Z                 'obj_weakref': None
2022-11-23T01:32:30.3303754Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.3303824Z             }
2022-11-23T01:32:30.3303886Z             
2022-11-23T01:32:30.3303962Z  - 
2022-11-23T01:32:30.3304099Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3304168Z             {
2022-11-23T01:32:30.3304308Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3304480Z                 'code': ['___check_obj_id(model, 139780077317728)'],
2022-11-23T01:32:30.3304603Z                 'obj_weakref': None
2022-11-23T01:32:30.3304827Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3304898Z             }
2022-11-23T01:32:30.3304966Z             
2022-11-23T01:32:30.3305047Z  - 
2022-11-23T01:32:30.3305172Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3305242Z             {
2022-11-23T01:32:30.3305382Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3305599Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3305721Z                 'obj_weakref': None
2022-11-23T01:32:30.3305945Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3306018Z             }
2022-11-23T01:32:30.3306087Z             
2022-11-23T01:32:30.3306162Z  - 
2022-11-23T01:32:30.3306300Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:30.3306363Z             {
2022-11-23T01:32:30.3306510Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3306706Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 3'],
2022-11-23T01:32:30.3306827Z                 'obj_weakref': None
2022-11-23T01:32:30.3307049Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3307120Z             }
2022-11-23T01:32:30.3307188Z             
2022-11-23T01:32:30.3307262Z  - 
2022-11-23T01:32:30.3307400Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:30.3307469Z             {
2022-11-23T01:32:30.3307617Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3307813Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:30.3307935Z                 'obj_weakref': None
2022-11-23T01:32:30.3308152Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3308215Z             }
2022-11-23T01:32:30.3308283Z             
2022-11-23T01:32:30.3308359Z  - 
2022-11-23T01:32:30.3308498Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:30.3308567Z             {
2022-11-23T01:32:30.3308715Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3308908Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 4'],
2022-11-23T01:32:30.3309023Z                 'obj_weakref': None
2022-11-23T01:32:30.3309241Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3309310Z             }
2022-11-23T01:32:30.3309378Z             
2022-11-23T01:32:30.3309453Z  - 
2022-11-23T01:32:30.3309589Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3309658Z             {
2022-11-23T01:32:30.3309775Z                 'guard_types': None,
2022-11-23T01:32:30.3309887Z                 'code': None,
2022-11-23T01:32:30.3310007Z                 'obj_weakref': None
2022-11-23T01:32:30.3310132Z                 'guarded_class': None
2022-11-23T01:32:30.3310201Z             }
2022-11-23T01:32:30.3310349Z             
2022-11-23T01:32:30.3310739Z [2022-11-23 01:27:03,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215
2022-11-23T01:32:30.3311132Z [2022-11-23 01:27:04,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cry3dr25dnhorwznnely4pmnun4bkarlp3hvcvpl5vxorfipayjb.py
2022-11-23T01:32:30.3311426Z [2022-11-23 01:27:04,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215
2022-11-23T01:32:30.3311669Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3311983Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3312208Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3312467Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3312751Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3313072Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3313424Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3313748Z [2022-11-23 01:27:04,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3314112Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:30.3314337Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:30.3314600Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:30.3314700Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:30.3314807Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3314907Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:30.3315006Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3315105Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:30.3315192Z               14 BINARY_MULTIPLY
2022-11-23T01:32:30.3315285Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:30.3315426Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:30.3315520Z               20 CALL_METHOD              3
2022-11-23T01:32:30.3315596Z               22 GET_ITER
2022-11-23T01:32:30.3315692Z               24 CALL_FUNCTION            1
2022-11-23T01:32:30.3315777Z               26 RETURN_VALUE
2022-11-23T01:32:30.3315837Z  
2022-11-23T01:32:30.3315849Z 
2022-11-23T01:32:30.3316155Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:30.3316547Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:30.3316897Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:30.3317186Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:30.3317465Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:30.3317915Z [2022-11-23 01:27:04,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3318285Z [2022-11-23 01:27:04,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:30.3318653Z [2022-11-23 01:27:04,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3319070Z [2022-11-23 01:27:04,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3319436Z [2022-11-23 01:27:04,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3319818Z [2022-11-23 01:27:04,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.3320247Z [2022-11-23 01:27:04,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3320539Z [2022-11-23 01:27:04,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3320842Z [2022-11-23 01:27:04,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3321227Z [2022-11-23 01:27:04,790] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:30.3321327Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:30.3321434Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:30.3321533Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:30.3321632Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:30.3321728Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3321827Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:30.3321901Z               12 BINARY_ADD
2022-11-23T01:32:30.3321998Z               14 LIST_APPEND              2
2022-11-23T01:32:30.3322108Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:30.3322210Z          >>   18 RETURN_VALUE
2022-11-23T01:32:30.3322280Z  
2022-11-23T01:32:30.3322287Z 
2022-11-23T01:32:30.3322533Z [2022-11-23 01:27:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:30.3322772Z [2022-11-23 01:27:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:30.3323047Z [2022-11-23 01:27:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3323344Z [2022-11-23 01:27:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3323614Z [2022-11-23 01:27:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3323926Z [2022-11-23 01:27:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3324275Z [2022-11-23 01:27:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3324614Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3324904Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3325195Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3325495Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3325771Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3326075Z [2022-11-23 01:27:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3326417Z [2022-11-23 01:27:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3326725Z [2022-11-23 01:27:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3327009Z [2022-11-23 01:27:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3327278Z [2022-11-23 01:27:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3327576Z [2022-11-23 01:27:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3327850Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3328154Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3328497Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3328802Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3329084Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3329352Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3329592Z [2022-11-23 01:27:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3329985Z [2022-11-23 01:27:04,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:30.3330235Z [2022-11-23 01:27:04,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3330616Z [2022-11-23 01:27:04,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:30.3330863Z [2022-11-23 01:27:04,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3331103Z [2022-11-23 01:27:04,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3331361Z [2022-11-23 01:27:04,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3331640Z [2022-11-23 01:27:04,802] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3331833Z [2022-11-23 01:27:04,802] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3331979Z  __compiled_fn_224 <eval_with_key>.1388 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3332106Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3332312Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:30.3332529Z call_function, split, <function split at 0x7f2073b11000>, (mul, [4, 3, 3], -1), {}
2022-11-23T01:32:30.3332719Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.3332913Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:30.3333103Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:30.3333284Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:30.3333464Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:30.3333656Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:30.3333772Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:30.3333778Z 
2022-11-23T01:32:30.3334103Z [2022-11-23 01:27:04,803] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3334209Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3334308Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3334401Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3334501Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3334586Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3334680Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3334761Z              12 RETURN_VALUE
2022-11-23T01:32:30.3334767Z 
2022-11-23T01:32:30.3334833Z  
2022-11-23T01:32:30.3335167Z [2022-11-23 01:27:04,803] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3335283Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_224)
2022-11-23T01:32:30.3335385Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3335481Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3335557Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3335652Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3335764Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3335875Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3335972Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3336054Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3336163Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3336252Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3336334Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3336445Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3336538Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3336621Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3336717Z              30 BUILD_LIST               3
2022-11-23T01:32:30.3336801Z              32 RETURN_VALUE
2022-11-23T01:32:30.3336806Z 
2022-11-23T01:32:30.3336871Z  
2022-11-23T01:32:30.3337052Z [2022-11-23 01:27:04,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3337127Z  - 
2022-11-23T01:32:30.3337250Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3337319Z             {
2022-11-23T01:32:30.3337464Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3337655Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3337779Z                 'obj_weakref': None
2022-11-23T01:32:30.3337997Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3338096Z             }
2022-11-23T01:32:30.3338168Z             
2022-11-23T01:32:30.3338245Z  - 
2022-11-23T01:32:30.3338375Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3338469Z             {
2022-11-23T01:32:30.3338610Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3338725Z                 'code': None,
2022-11-23T01:32:30.3339064Z                 'obj_weakref': <weakref at 0x7f201e2885e0; to 'Tensor' at 0x7f2115e06e30>
2022-11-23T01:32:30.3339316Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3339388Z             }
2022-11-23T01:32:30.3339457Z             
2022-11-23T01:32:30.3339533Z  - 
2022-11-23T01:32:30.3339661Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:30.3339724Z             {
2022-11-23T01:32:30.3339898Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.3340275Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [4, 3, 3]'],
2022-11-23T01:32:30.3340405Z                 'obj_weakref': None
2022-11-23T01:32:30.3340627Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.3340695Z             }
2022-11-23T01:32:30.3340763Z             
2022-11-23T01:32:30.3340833Z  - 
2022-11-23T01:32:30.3340967Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3341041Z             {
2022-11-23T01:32:30.3341180Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3341354Z                 'code': ['___check_obj_id(model, 139780077317728)'],
2022-11-23T01:32:30.3341478Z                 'obj_weakref': None
2022-11-23T01:32:30.3341711Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3341774Z             }
2022-11-23T01:32:30.3341846Z             
2022-11-23T01:32:30.3341922Z  - 
2022-11-23T01:32:30.3342050Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3342119Z             {
2022-11-23T01:32:30.3342264Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3342483Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3342599Z                 'obj_weakref': None
2022-11-23T01:32:30.3342822Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3342892Z             }
2022-11-23T01:32:30.3342960Z             
2022-11-23T01:32:30.3343035Z  - 
2022-11-23T01:32:30.3343173Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:30.3343242Z             {
2022-11-23T01:32:30.3343380Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3343575Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 4'],
2022-11-23T01:32:30.3343701Z                 'obj_weakref': None
2022-11-23T01:32:30.3343921Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3343993Z             }
2022-11-23T01:32:30.3344060Z             
2022-11-23T01:32:30.3344135Z  - 
2022-11-23T01:32:30.3344267Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:30.3344336Z             {
2022-11-23T01:32:30.3344483Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3344677Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:30.3344799Z                 'obj_weakref': None
2022-11-23T01:32:30.3345016Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3345085Z             }
2022-11-23T01:32:30.3345147Z             
2022-11-23T01:32:30.3345226Z  - 
2022-11-23T01:32:30.3345363Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:30.3345500Z             {
2022-11-23T01:32:30.3345647Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3345838Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:30.3345989Z                 'obj_weakref': None
2022-11-23T01:32:30.3346196Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3346268Z             }
2022-11-23T01:32:30.3346336Z             
2022-11-23T01:32:30.3346411Z  - 
2022-11-23T01:32:30.3346548Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3346618Z             {
2022-11-23T01:32:30.3346742Z                 'guard_types': None,
2022-11-23T01:32:30.3346847Z                 'code': None,
2022-11-23T01:32:30.3346968Z                 'obj_weakref': None
2022-11-23T01:32:30.3347093Z                 'guarded_class': None
2022-11-23T01:32:30.3347162Z             }
2022-11-23T01:32:30.3347231Z             
2022-11-23T01:32:30.3347496Z [2022-11-23 01:27:04,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216
2022-11-23T01:32:30.3347858Z [2022-11-23 01:27:06,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7cjz75v7zmmngwxgwgsvrgb5zqlqd5sop4vnnxuv7wypvoxxvd.py
2022-11-23T01:32:30.3348121Z [2022-11-23 01:27:06,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216
2022-11-23T01:32:30.3348362Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3348674Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3348897Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3349149Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3349427Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3349744Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3350094Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3350517Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3350891Z [2022-11-23 01:27:06,401] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:30.3351116Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:30.3351369Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:30.3351471Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:30.3351573Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3351676Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:30.3351772Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3351871Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:30.3351958Z               14 BINARY_MULTIPLY
2022-11-23T01:32:30.3352059Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:30.3352195Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:30.3352291Z               20 CALL_METHOD              3
2022-11-23T01:32:30.3352369Z               22 GET_ITER
2022-11-23T01:32:30.3352497Z               24 CALL_FUNCTION            1
2022-11-23T01:32:30.3352583Z               26 RETURN_VALUE
2022-11-23T01:32:30.3352649Z  
2022-11-23T01:32:30.3352655Z 
2022-11-23T01:32:30.3352971Z [2022-11-23 01:27:06,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:30.3353382Z [2022-11-23 01:27:06,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:30.3353741Z [2022-11-23 01:27:06,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:30.3354037Z [2022-11-23 01:27:06,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:30.3354321Z [2022-11-23 01:27:06,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:30.3354744Z [2022-11-23 01:27:06,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3355091Z [2022-11-23 01:27:06,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:30.3355460Z [2022-11-23 01:27:06,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3355883Z [2022-11-23 01:27:06,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3356256Z [2022-11-23 01:27:06,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:30.3356641Z [2022-11-23 01:27:06,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.3357071Z [2022-11-23 01:27:06,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3357369Z [2022-11-23 01:27:06,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3357684Z [2022-11-23 01:27:06,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3358073Z [2022-11-23 01:27:06,407] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:30.3358168Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:30.3358270Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:30.3358370Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:30.3358470Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:30.3358568Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:30.3358668Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:30.3358750Z               12 BINARY_ADD
2022-11-23T01:32:30.3358841Z               14 LIST_APPEND              2
2022-11-23T01:32:30.3358944Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:30.3359027Z          >>   18 RETURN_VALUE
2022-11-23T01:32:30.3359094Z  
2022-11-23T01:32:30.3359099Z 
2022-11-23T01:32:30.3359345Z [2022-11-23 01:27:06,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:30.3359585Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:30.3359884Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3360186Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3360451Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3360760Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3361113Z [2022-11-23 01:27:06,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3361422Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3361712Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3362006Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3362331Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3362609Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3362912Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3363261Z [2022-11-23 01:27:06,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3363571Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3363844Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3364116Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3364415Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3364691Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3364993Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3365337Z [2022-11-23 01:27:06,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3365647Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3365927Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3366194Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3366491Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3366788Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3367082Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3367448Z [2022-11-23 01:27:06,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.3367754Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:30.3368032Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3368303Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:30.3368553Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3368943Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:30.3369195Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3369573Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:30.3369820Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:30.3370054Z [2022-11-23 01:27:06,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3370316Z [2022-11-23 01:27:06,414] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3370575Z [2022-11-23 01:27:06,420] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3370775Z [2022-11-23 01:27:06,420] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3370919Z  __compiled_fn_225 <eval_with_key>.1394 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3371016Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3371198Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:30.3371415Z call_function, split, <function split at 0x7f2073b11000>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T01:32:30.3371613Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.3371801Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:30.3371993Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:30.3372193Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:30.3372410Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:30.3372609Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:30.3372793Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:30.3372975Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T01:32:30.3373093Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T01:32:30.3373107Z 
2022-11-23T01:32:30.3373426Z [2022-11-23 01:27:06,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3373530Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3373630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3373725Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3373854Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3373949Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3374045Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3374146Z              12 RETURN_VALUE
2022-11-23T01:32:30.3374151Z 
2022-11-23T01:32:30.3374220Z  
2022-11-23T01:32:30.3374547Z [2022-11-23 01:27:06,421] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3374666Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_225)
2022-11-23T01:32:30.3374764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3374861Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3374946Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3375041Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3375147Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3375261Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3375359Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3375443Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3375556Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3375654Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3375736Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3375840Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3375937Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3376020Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3376128Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3376223Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.3376308Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3376402Z              36 BUILD_LIST               4
2022-11-23T01:32:30.3376478Z              38 RETURN_VALUE
2022-11-23T01:32:30.3376483Z 
2022-11-23T01:32:30.3376553Z  
2022-11-23T01:32:30.3376743Z [2022-11-23 01:27:06,422] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3376820Z  - 
2022-11-23T01:32:30.3376945Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3377021Z             {
2022-11-23T01:32:30.3377167Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3377352Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3377479Z                 'obj_weakref': None
2022-11-23T01:32:30.3377708Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3377779Z             }
2022-11-23T01:32:30.3377850Z             
2022-11-23T01:32:30.3377927Z  - 
2022-11-23T01:32:30.3378056Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3378121Z             {
2022-11-23T01:32:30.3378270Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3378383Z                 'code': None,
2022-11-23T01:32:30.3378598Z                 'obj_weakref': <weakref at 0x7f201e28aed0; to 'Tensor' at 0x7f2115e06e30>
2022-11-23T01:32:30.3379066Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3379142Z             }
2022-11-23T01:32:30.3379213Z             
2022-11-23T01:32:30.3379284Z  - 
2022-11-23T01:32:30.3379413Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:30.3379483Z             {
2022-11-23T01:32:30.3379658Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.3380085Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', '___check_type_id(ex[1][3], 94768292480384)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T01:32:30.3380210Z                 'obj_weakref': None
2022-11-23T01:32:30.3380477Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.3380550Z             }
2022-11-23T01:32:30.3380612Z             
2022-11-23T01:32:30.3380690Z  - 
2022-11-23T01:32:30.3380829Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3380932Z             {
2022-11-23T01:32:30.3381073Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3381248Z                 'code': ['___check_obj_id(model, 139780077317728)'],
2022-11-23T01:32:30.3381374Z                 'obj_weakref': None
2022-11-23T01:32:30.3381597Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3381669Z             }
2022-11-23T01:32:30.3381738Z             
2022-11-23T01:32:30.3381815Z  - 
2022-11-23T01:32:30.3381941Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3382011Z             {
2022-11-23T01:32:30.3382152Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3382371Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3382494Z                 'obj_weakref': None
2022-11-23T01:32:30.3382718Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3382791Z             }
2022-11-23T01:32:30.3382863Z             
2022-11-23T01:32:30.3382939Z  - 
2022-11-23T01:32:30.3383078Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:30.3383141Z             {
2022-11-23T01:32:30.3383288Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3383485Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 1'],
2022-11-23T01:32:30.3383609Z                 'obj_weakref': None
2022-11-23T01:32:30.3383831Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3383900Z             }
2022-11-23T01:32:30.3383969Z             
2022-11-23T01:32:30.3384039Z  - 
2022-11-23T01:32:30.3384182Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:30.3384253Z             {
2022-11-23T01:32:30.3384403Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3384600Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 2'],
2022-11-23T01:32:30.3384730Z                 'obj_weakref': None
2022-11-23T01:32:30.3384953Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3385016Z             }
2022-11-23T01:32:30.3385088Z             
2022-11-23T01:32:30.3385164Z  - 
2022-11-23T01:32:30.3385306Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:30.3385375Z             {
2022-11-23T01:32:30.3385520Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3385709Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:30.3385825Z                 'obj_weakref': None
2022-11-23T01:32:30.3386044Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3386115Z             }
2022-11-23T01:32:30.3386184Z             
2022-11-23T01:32:30.3386260Z  - 
2022-11-23T01:32:30.3386402Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T01:32:30.3386474Z             {
2022-11-23T01:32:30.3386613Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3386807Z                 'code': ['___check_type_id(ex[1][3], 94768292480384)', 'ex[1][3] == 4'],
2022-11-23T01:32:30.3386930Z                 'obj_weakref': None
2022-11-23T01:32:30.3387146Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.3387216Z             }
2022-11-23T01:32:30.3387284Z             
2022-11-23T01:32:30.3387361Z  - 
2022-11-23T01:32:30.3387492Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3387561Z             {
2022-11-23T01:32:30.3387685Z                 'guard_types': None,
2022-11-23T01:32:30.3387830Z                 'code': None,
2022-11-23T01:32:30.3387955Z                 'obj_weakref': None
2022-11-23T01:32:30.3388083Z                 'guarded_class': None
2022-11-23T01:32:30.3388154Z             }
2022-11-23T01:32:30.3388241Z             
2022-11-23T01:32:30.3388505Z [2022-11-23 01:27:06,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217
2022-11-23T01:32:30.3388511Z 
2022-11-23T01:32:30.3388612Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3388686Z import torch
2022-11-23T01:32:30.3388761Z import random
2022-11-23T01:32:30.3388884Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3389012Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3389017Z 
2022-11-23T01:32:30.3389095Z aten = torch.ops.aten
2022-11-23T01:32:30.3389237Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3389336Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3389341Z 
2022-11-23T01:32:30.3389417Z import triton
2022-11-23T01:32:30.3389514Z import triton.language as tl
2022-11-23T01:32:30.3389647Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3389790Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3389799Z 
2022-11-23T01:32:30.3389804Z 
2022-11-23T01:32:30.3389941Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3390143Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3390338Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3390460Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3390579Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3390694Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.3390774Z {
2022-11-23T01:32:30.3390902Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3390965Z     {
2022-11-23T01:32:30.3391049Z         #pragma omp for 
2022-11-23T01:32:30.3391144Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3391213Z         {
2022-11-23T01:32:30.3391300Z             #pragma GCC ivdep
2022-11-23T01:32:30.3391390Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.3391462Z             {
2022-11-23T01:32:30.3391528Z                 {
2022-11-23T01:32:30.3391602Z                     {
2022-11-23T01:32:30.3391714Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:30.3391835Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3391938Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3392055Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3392155Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3392253Z                         out_ptr0[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:30.3392326Z                     }
2022-11-23T01:32:30.3392401Z                 }
2022-11-23T01:32:30.3392472Z             }
2022-11-23T01:32:30.3392543Z         }
2022-11-23T01:32:30.3392626Z         #pragma omp for 
2022-11-23T01:32:30.3392714Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3392777Z         {
2022-11-23T01:32:30.3392866Z             #pragma GCC ivdep
2022-11-23T01:32:30.3392955Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.3393025Z             {
2022-11-23T01:32:30.3393098Z                 {
2022-11-23T01:32:30.3393169Z                     {
2022-11-23T01:32:30.3393283Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:32:30.3393393Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3393492Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3393605Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3393704Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3393806Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:30.3393879Z                     }
2022-11-23T01:32:30.3393999Z                 }
2022-11-23T01:32:30.3394064Z             }
2022-11-23T01:32:30.3394132Z         }
2022-11-23T01:32:30.3394217Z         #pragma omp for 
2022-11-23T01:32:30.3394304Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3394397Z         {
2022-11-23T01:32:30.3394484Z             #pragma GCC ivdep
2022-11-23T01:32:30.3394566Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3394639Z             {
2022-11-23T01:32:30.3394711Z                 {
2022-11-23T01:32:30.3394783Z                     {
2022-11-23T01:32:30.3394897Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:32:30.3395013Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3395113Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3395219Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3395318Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3395425Z                         out_ptr2[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:30.3395497Z                     }
2022-11-23T01:32:30.3395569Z                 }
2022-11-23T01:32:30.3395637Z             }
2022-11-23T01:32:30.3395706Z         }
2022-11-23T01:32:30.3395771Z     }
2022-11-23T01:32:30.3395838Z }
2022-11-23T01:32:30.3395929Z ''')
2022-11-23T01:32:30.3395935Z 
2022-11-23T01:32:30.3395939Z 
2022-11-23T01:32:30.3396034Z async_compile.wait(globals())
2022-11-23T01:32:30.3396114Z del async_compile
2022-11-23T01:32:30.3396119Z 
2022-11-23T01:32:30.3396198Z def call(args):
2022-11-23T01:32:30.3396273Z     arg0_1, = args
2022-11-23T01:32:30.3396344Z     args.clear()
2022-11-23T01:32:30.3396552Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3396756Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3396957Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3397159Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.3397235Z     del arg0_1
2022-11-23T01:32:30.3397326Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.3397335Z 
2022-11-23T01:32:30.3397339Z 
2022-11-23T01:32:30.3397421Z if __name__ == "__main__":
2022-11-23T01:32:30.3397545Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3397667Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3397876Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3397988Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3397994Z 
2022-11-23T01:32:30.3397998Z 
2022-11-23T01:32:30.3398098Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3398174Z import torch
2022-11-23T01:32:30.3398250Z import random
2022-11-23T01:32:30.3398373Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3398495Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3398507Z 
2022-11-23T01:32:30.3398585Z aten = torch.ops.aten
2022-11-23T01:32:30.3398725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3398825Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3398830Z 
2022-11-23T01:32:30.3398905Z import triton
2022-11-23T01:32:30.3398999Z import triton.language as tl
2022-11-23T01:32:30.3399128Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3399271Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3399276Z 
2022-11-23T01:32:30.3399281Z 
2022-11-23T01:32:30.3399412Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3399622Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3399752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3399858Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3399993Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3400102Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.3400171Z {
2022-11-23T01:32:30.3400276Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3400362Z     {
2022-11-23T01:32:30.3400445Z         #pragma omp for 
2022-11-23T01:32:30.3400533Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3400602Z         {
2022-11-23T01:32:30.3400688Z             #pragma GCC ivdep
2022-11-23T01:32:30.3400777Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3400839Z             {
2022-11-23T01:32:30.3400910Z                 {
2022-11-23T01:32:30.3400983Z                     {
2022-11-23T01:32:30.3401097Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:30.3401214Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3401314Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3401435Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3401528Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3401631Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:30.3401709Z                     }
2022-11-23T01:32:30.3401779Z                 }
2022-11-23T01:32:30.3401848Z             }
2022-11-23T01:32:30.3401917Z         }
2022-11-23T01:32:30.3402001Z         #pragma omp for 
2022-11-23T01:32:30.3402095Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3402175Z         {
2022-11-23T01:32:30.3402275Z             #pragma GCC ivdep
2022-11-23T01:32:30.3402380Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.3402450Z             {
2022-11-23T01:32:30.3402521Z                 {
2022-11-23T01:32:30.3402593Z                     {
2022-11-23T01:32:30.3402700Z                         auto tmp0 = in_ptr0[4 + i1 + (10*i0)];
2022-11-23T01:32:30.3402816Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3402919Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3403033Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3403132Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3403237Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:30.3403309Z                     }
2022-11-23T01:32:30.3403373Z                 }
2022-11-23T01:32:30.3403443Z             }
2022-11-23T01:32:30.3403512Z         }
2022-11-23T01:32:30.3403595Z         #pragma omp for 
2022-11-23T01:32:30.3403683Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3403751Z         {
2022-11-23T01:32:30.3403838Z             #pragma GCC ivdep
2022-11-23T01:32:30.3403921Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.3403991Z             {
2022-11-23T01:32:30.3404063Z                 {
2022-11-23T01:32:30.3404134Z                     {
2022-11-23T01:32:30.3404245Z                         auto tmp0 = in_ptr0[7 + i1 + (10*i0)];
2022-11-23T01:32:30.3404365Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3404466Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3404572Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3404674Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3404775Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:30.3404848Z                     }
2022-11-23T01:32:30.3404917Z                 }
2022-11-23T01:32:30.3404987Z             }
2022-11-23T01:32:30.3405049Z         }
2022-11-23T01:32:30.3405117Z     }
2022-11-23T01:32:30.3405184Z }
2022-11-23T01:32:30.3405273Z ''')
2022-11-23T01:32:30.3405278Z 
2022-11-23T01:32:30.3405283Z 
2022-11-23T01:32:30.3405379Z async_compile.wait(globals())
2022-11-23T01:32:30.3405458Z del async_compile
2022-11-23T01:32:30.3405463Z 
2022-11-23T01:32:30.3405541Z def call(args):
2022-11-23T01:32:30.3405617Z     arg0_1, = args
2022-11-23T01:32:30.3405687Z     args.clear()
2022-11-23T01:32:30.3405924Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3406131Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3406355Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3406550Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.3406626Z     del arg0_1
2022-11-23T01:32:30.3406716Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.3406721Z 
2022-11-23T01:32:30.3406725Z 
2022-11-23T01:32:30.3406807Z if __name__ == "__main__":
2022-11-23T01:32:30.3406921Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3407049Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3407257Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3407370Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3407378Z 
2022-11-23T01:32:30.3407740Z [2022-11-23 01:27:08,026] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5y5a4c5fhdnjfbxpxn2bz763evpzy6qemnp5qapxa6j7kaemxg.py
2022-11-23T01:32:30.3408013Z [2022-11-23 01:27:08,026] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217
2022-11-23T01:32:30.3408019Z 
2022-11-23T01:32:30.3408119Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3408195Z import torch
2022-11-23T01:32:30.3408264Z import random
2022-11-23T01:32:30.3408385Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3408516Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3408521Z 
2022-11-23T01:32:30.3408605Z aten = torch.ops.aten
2022-11-23T01:32:30.3408744Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3408842Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3408847Z 
2022-11-23T01:32:30.3408922Z import triton
2022-11-23T01:32:30.3409019Z import triton.language as tl
2022-11-23T01:32:30.3409139Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3409282Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3409291Z 
2022-11-23T01:32:30.3409296Z 
2022-11-23T01:32:30.3409436Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3409644Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3409770Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3409876Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3409981Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3410084Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.3410179Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.3410245Z {
2022-11-23T01:32:30.3410327Z     #pragma GCC ivdep
2022-11-23T01:32:30.3410414Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3410484Z     {
2022-11-23T01:32:30.3410553Z         {
2022-11-23T01:32:30.3410615Z             {
2022-11-23T01:32:30.3410717Z                 auto tmp0 = in_ptr0[10*i0];
2022-11-23T01:32:30.3410832Z                 auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3410926Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3411036Z                 auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3411130Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3411219Z                 out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.3411282Z             }
2022-11-23T01:32:30.3411353Z         }
2022-11-23T01:32:30.3411420Z     }
2022-11-23T01:32:30.3411524Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3411591Z     {
2022-11-23T01:32:30.3411674Z         #pragma omp for 
2022-11-23T01:32:30.3411765Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3411844Z         {
2022-11-23T01:32:30.3411935Z             #pragma GCC ivdep
2022-11-23T01:32:30.3412078Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.3412150Z             {
2022-11-23T01:32:30.3412222Z                 {
2022-11-23T01:32:30.3412295Z                     {
2022-11-23T01:32:30.3412479Z                         auto tmp0 = in_ptr0[1 + i1 + (10*i0)];
2022-11-23T01:32:30.3412590Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3412691Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3412805Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3412904Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3413006Z                         out_ptr1[i1 + (2*i0)] = tmp4;
2022-11-23T01:32:30.3413079Z                     }
2022-11-23T01:32:30.3413151Z                 }
2022-11-23T01:32:30.3413213Z             }
2022-11-23T01:32:30.3413283Z         }
2022-11-23T01:32:30.3413367Z         #pragma omp for 
2022-11-23T01:32:30.3413457Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3413530Z         {
2022-11-23T01:32:30.3413618Z             #pragma GCC ivdep
2022-11-23T01:32:30.3413700Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.3413770Z             {
2022-11-23T01:32:30.3413846Z                 {
2022-11-23T01:32:30.3413919Z                     {
2022-11-23T01:32:30.3414030Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:32:30.3414145Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3414246Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3414351Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3414450Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3414555Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:30.3414627Z                     }
2022-11-23T01:32:30.3414698Z                 }
2022-11-23T01:32:30.3414767Z             }
2022-11-23T01:32:30.3414837Z         }
2022-11-23T01:32:30.3414913Z         #pragma omp for 
2022-11-23T01:32:30.3415005Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3415075Z         {
2022-11-23T01:32:30.3415162Z             #pragma GCC ivdep
2022-11-23T01:32:30.3415251Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.3415324Z             {
2022-11-23T01:32:30.3415394Z                 {
2022-11-23T01:32:30.3415460Z                     {
2022-11-23T01:32:30.3415570Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:32:30.3415688Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:30.3415787Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3415899Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:30.3415997Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3416100Z                         out_ptr3[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:30.3416166Z                     }
2022-11-23T01:32:30.3416236Z                 }
2022-11-23T01:32:30.3416305Z             }
2022-11-23T01:32:30.3416375Z         }
2022-11-23T01:32:30.3416442Z     }
2022-11-23T01:32:30.3416507Z }
2022-11-23T01:32:30.3416596Z ''')
2022-11-23T01:32:30.3416602Z 
2022-11-23T01:32:30.3416607Z 
2022-11-23T01:32:30.3416700Z async_compile.wait(globals())
2022-11-23T01:32:30.3416778Z del async_compile
2022-11-23T01:32:30.3416783Z 
2022-11-23T01:32:30.3416860Z def call(args):
2022-11-23T01:32:30.3416934Z     arg0_1, = args
2022-11-23T01:32:30.3417010Z     args.clear()
2022-11-23T01:32:30.3417215Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3417418Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3417611Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3417807Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3418059Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.3418137Z     del arg0_1
2022-11-23T01:32:30.3418233Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.3418260Z 
2022-11-23T01:32:30.3418265Z 
2022-11-23T01:32:30.3418352Z if __name__ == "__main__":
2022-11-23T01:32:30.3418473Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3418602Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3419003Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3419113Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3419118Z 
2022-11-23T01:32:30.3419192Z ok (4.874s)
2022-11-23T01:32:30.3419503Z   test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3419825Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3420049Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3420316Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3420599Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3420922Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3421270Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3421589Z [2022-11-23 01:27:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3421964Z [2022-11-23 01:27:08,032] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269> 
2022-11-23T01:32:30.3422072Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3422171Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3422252Z                4 BINARY_ADD
2022-11-23T01:32:30.3422357Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:30.3422452Z                8 CALL_METHOD              0
2022-11-23T01:32:30.3422549Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.3422622Z               12 BINARY_ADD
2022-11-23T01:32:30.3422718Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3422821Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:30.3422916Z               18 CALL_METHOD              0
2022-11-23T01:32:30.3423013Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:30.3423091Z               22 BINARY_ADD
2022-11-23T01:32:30.3423186Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.3423261Z               26 RETURN_VALUE
2022-11-23T01:32:30.3423334Z  
2022-11-23T01:32:30.3423339Z 
2022-11-23T01:32:30.3423654Z [2022-11-23 01:27:08,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270
2022-11-23T01:32:30.3423869Z [2022-11-23 01:27:08,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3424113Z [2022-11-23 01:27:08,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.3424394Z [2022-11-23 01:27:08,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3424644Z [2022-11-23 01:27:08,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:30.3424983Z [2022-11-23 01:27:08,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.3425227Z [2022-11-23 01:27:08,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.3425531Z [2022-11-23 01:27:08,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3425773Z [2022-11-23 01:27:08,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.3426049Z [2022-11-23 01:27:08,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3426362Z [2022-11-23 01:27:08,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.3426633Z [2022-11-23 01:27:08,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3426943Z [2022-11-23 01:27:08,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3427216Z [2022-11-23 01:27:08,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3427466Z [2022-11-23 01:27:08,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3427846Z [2022-11-23 01:27:08,037] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269>
2022-11-23T01:32:30.3428092Z [2022-11-23 01:27:08,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3428327Z [2022-11-23 01:27:08,037] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3428584Z [2022-11-23 01:27:08,038] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3428837Z [2022-11-23 01:27:08,043] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3429038Z [2022-11-23 01:27:08,043] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3429179Z  __compiled_fn_226 <eval_with_key>.1400 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3429275Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3429457Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3429566Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T01:32:30.3429754Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T01:32:30.3429857Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T01:32:30.3430041Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:30.3430151Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:30.3430159Z 
2022-11-23T01:32:30.3430566Z [2022-11-23 01:27:08,043] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3430672Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3430771Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3430866Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3430960Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3431053Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3431147Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3431235Z              12 RETURN_VALUE
2022-11-23T01:32:30.3431241Z 
2022-11-23T01:32:30.3431308Z  
2022-11-23T01:32:30.3431631Z [2022-11-23 01:27:08,043] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3431788Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_226)
2022-11-23T01:32:30.3431885Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3431976Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3432084Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3432179Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3432290Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3432401Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3432498Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3432581Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3432680Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3432777Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3432858Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3432951Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.3433032Z              26 RETURN_VALUE
2022-11-23T01:32:30.3433037Z 
2022-11-23T01:32:30.3433106Z  
2022-11-23T01:32:30.3433297Z [2022-11-23 01:27:08,044] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3433378Z  - 
2022-11-23T01:32:30.3433495Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3433567Z             {
2022-11-23T01:32:30.3433713Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3433903Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3434027Z                 'obj_weakref': None
2022-11-23T01:32:30.3434253Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3434322Z             }
2022-11-23T01:32:30.3434385Z             
2022-11-23T01:32:30.3434461Z  - 
2022-11-23T01:32:30.3434591Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3434660Z             {
2022-11-23T01:32:30.3434806Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3434919Z                 'code': None,
2022-11-23T01:32:30.3435130Z                 'obj_weakref': <weakref at 0x7f201e238ea0; to 'Tensor' at 0x7f20601c1120>
2022-11-23T01:32:30.3435380Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3435454Z             }
2022-11-23T01:32:30.3435523Z             
2022-11-23T01:32:30.3435599Z  - 
2022-11-23T01:32:30.3435738Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3435808Z             {
2022-11-23T01:32:30.3435942Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3436119Z                 'code': ['___check_obj_id(model, 139780075797904)'],
2022-11-23T01:32:30.3436242Z                 'obj_weakref': None
2022-11-23T01:32:30.3436477Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3436547Z             }
2022-11-23T01:32:30.3436614Z             
2022-11-23T01:32:30.3436690Z  - 
2022-11-23T01:32:30.3436813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3436882Z             {
2022-11-23T01:32:30.3437023Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3437242Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3437370Z                 'obj_weakref': None
2022-11-23T01:32:30.3437598Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3437667Z             }
2022-11-23T01:32:30.3437735Z             
2022-11-23T01:32:30.3437994Z [2022-11-23 01:27:08,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218
2022-11-23T01:32:30.3438362Z [2022-11-23 01:27:09,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ge/cgemzpb3ferz643xl3tn2wcyvuowpxhst2vtsvv52npkljwb33vu.py
2022-11-23T01:32:30.3438634Z [2022-11-23 01:27:09,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218
2022-11-23T01:32:30.3438685Z 
2022-11-23T01:32:30.3438788Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3438866Z import torch
2022-11-23T01:32:30.3438941Z import random
2022-11-23T01:32:30.3439063Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3439214Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3439220Z 
2022-11-23T01:32:30.3439297Z aten = torch.ops.aten
2022-11-23T01:32:30.3439436Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3439534Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3439539Z 
2022-11-23T01:32:30.3439614Z import triton
2022-11-23T01:32:30.3439709Z import triton.language as tl
2022-11-23T01:32:30.3439836Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3439981Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3439986Z 
2022-11-23T01:32:30.3439991Z 
2022-11-23T01:32:30.3440131Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3440335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3440466Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3440573Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3440680Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3440746Z {
2022-11-23T01:32:30.3440850Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3440917Z     {
2022-11-23T01:32:30.3440994Z         #pragma omp for 
2022-11-23T01:32:30.3441081Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.3441151Z         {
2022-11-23T01:32:30.3441300Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3441445Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3441537Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3441674Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.3441762Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3441851Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.3441949Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3442055Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.3442140Z         }
2022-11-23T01:32:30.3442252Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3442356Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.3442419Z         {
2022-11-23T01:32:30.3442508Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3442615Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.3442706Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3442808Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.3442897Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3442987Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.3443067Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.3443158Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:30.3443229Z         }
2022-11-23T01:32:30.3443296Z     }
2022-11-23T01:32:30.3443361Z }
2022-11-23T01:32:30.3443452Z ''')
2022-11-23T01:32:30.3443457Z 
2022-11-23T01:32:30.3443463Z 
2022-11-23T01:32:30.3443563Z async_compile.wait(globals())
2022-11-23T01:32:30.3443635Z del async_compile
2022-11-23T01:32:30.3443647Z 
2022-11-23T01:32:30.3443716Z def call(args):
2022-11-23T01:32:30.3443793Z     arg0_1, = args
2022-11-23T01:32:30.3443869Z     args.clear()
2022-11-23T01:32:30.3444079Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3444281Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3444450Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3444525Z     del arg0_1
2022-11-23T01:32:30.3444600Z     return (buf0, buf1, )
2022-11-23T01:32:30.3444606Z 
2022-11-23T01:32:30.3444610Z 
2022-11-23T01:32:30.3444691Z if __name__ == "__main__":
2022-11-23T01:32:30.3444846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3444977Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3445210Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3445350Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3445355Z 
2022-11-23T01:32:30.3445428Z ok (1.561s)
2022-11-23T01:32:30.3445735Z   test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3446047Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3446272Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3446533Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3446810Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3447133Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3447479Z [2022-11-23 01:27:09,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3447800Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3448173Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275> 
2022-11-23T01:32:30.3448275Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3448373Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3448446Z                4 BINARY_ADD
2022-11-23T01:32:30.3448551Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:30.3448697Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3448794Z               10 CALL_METHOD              1
2022-11-23T01:32:30.3448895Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:30.3448991Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3449085Z               16 CALL_METHOD              1
2022-11-23T01:32:30.3449174Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3449252Z               20 BINARY_ADD
2022-11-23T01:32:30.3449348Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3449453Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:30.3449546Z               26 LOAD_CONST               4 (0)
2022-11-23T01:32:30.3449642Z               28 CALL_METHOD              1
2022-11-23T01:32:30.3449736Z               30 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3449808Z               32 BINARY_ADD
2022-11-23T01:32:30.3449906Z               34 BUILD_TUPLE              2
2022-11-23T01:32:30.3449987Z               36 RETURN_VALUE
2022-11-23T01:32:30.3450053Z  
2022-11-23T01:32:30.3450058Z 
2022-11-23T01:32:30.3450377Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276
2022-11-23T01:32:30.3450594Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3450836Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.3451120Z [2022-11-23 01:27:09,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3451400Z [2022-11-23 01:27:09,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:30.3451681Z [2022-11-23 01:27:09,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.3452079Z [2022-11-23 01:27:09,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:30.3452330Z [2022-11-23 01:27:09,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:30.3452607Z [2022-11-23 01:27:09,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.3452933Z [2022-11-23 01:27:09,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:30.3453176Z [2022-11-23 01:27:09,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.3453459Z [2022-11-23 01:27:09,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3453703Z [2022-11-23 01:27:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.3453979Z [2022-11-23 01:27:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3454291Z [2022-11-23 01:27:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.3454632Z [2022-11-23 01:27:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:30.3454900Z [2022-11-23 01:27:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3455213Z [2022-11-23 01:27:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3455483Z [2022-11-23 01:27:09,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3455738Z [2022-11-23 01:27:09,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3456122Z [2022-11-23 01:27:09,599] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275>
2022-11-23T01:32:30.3456372Z [2022-11-23 01:27:09,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3456609Z [2022-11-23 01:27:09,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3456872Z [2022-11-23 01:27:09,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3457126Z [2022-11-23 01:27:09,604] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3457317Z [2022-11-23 01:27:09,604] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3457459Z  __compiled_fn_227 <eval_with_key>.1406 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3457553Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3457730Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3457882Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T01:32:30.3458002Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T01:32:30.3458189Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:30.3458293Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T01:32:30.3458475Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T01:32:30.3458618Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:30.3458624Z 
2022-11-23T01:32:30.3459071Z [2022-11-23 01:27:09,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3459215Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3459312Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3459405Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3459505Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3459591Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3459688Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3459770Z              12 RETURN_VALUE
2022-11-23T01:32:30.3459775Z 
2022-11-23T01:32:30.3459842Z  
2022-11-23T01:32:30.3460175Z [2022-11-23 01:27:09,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3460296Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_227)
2022-11-23T01:32:30.3460393Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3460489Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3460569Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3460664Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3460775Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3460886Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3460982Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3461065Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3461173Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3461261Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3461343Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3461435Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.3461517Z              26 RETURN_VALUE
2022-11-23T01:32:30.3461526Z 
2022-11-23T01:32:30.3461594Z  
2022-11-23T01:32:30.3461783Z [2022-11-23 01:27:09,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3461860Z  - 
2022-11-23T01:32:30.3461981Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3462050Z             {
2022-11-23T01:32:30.3462196Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3462388Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3462513Z                 'obj_weakref': None
2022-11-23T01:32:30.3462743Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3462813Z             }
2022-11-23T01:32:30.3462875Z             
2022-11-23T01:32:30.3462952Z  - 
2022-11-23T01:32:30.3463081Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3463151Z             {
2022-11-23T01:32:30.3463298Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3463414Z                 'code': None,
2022-11-23T01:32:30.3463626Z                 'obj_weakref': <weakref at 0x7f201e238f40; to 'Tensor' at 0x7f2127a0e9d0>
2022-11-23T01:32:30.3463876Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3463943Z             }
2022-11-23T01:32:30.3464014Z             
2022-11-23T01:32:30.3464091Z  - 
2022-11-23T01:32:30.3464228Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3464297Z             {
2022-11-23T01:32:30.3464438Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3464606Z                 'code': ['___check_obj_id(model, 139780077316144)'],
2022-11-23T01:32:30.3464732Z                 'obj_weakref': None
2022-11-23T01:32:30.3464965Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3465035Z             }
2022-11-23T01:32:30.3465104Z             
2022-11-23T01:32:30.3465179Z  - 
2022-11-23T01:32:30.3465353Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3465417Z             {
2022-11-23T01:32:30.3465562Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3465787Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3465938Z                 'obj_weakref': None
2022-11-23T01:32:30.3466163Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3466232Z             }
2022-11-23T01:32:30.3466302Z             
2022-11-23T01:32:30.3466559Z [2022-11-23 01:27:09,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219
2022-11-23T01:32:30.3466926Z [2022-11-23 01:27:11,155] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3apt4kzgnytetwf3soatlnygowo4pg44aorkl555uvgfphaqg7.py
2022-11-23T01:32:30.3467193Z [2022-11-23 01:27:11,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219
2022-11-23T01:32:30.3467199Z 
2022-11-23T01:32:30.3467299Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3467378Z import torch
2022-11-23T01:32:30.3467455Z import random
2022-11-23T01:32:30.3467580Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3467709Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3467714Z 
2022-11-23T01:32:30.3467799Z aten = torch.ops.aten
2022-11-23T01:32:30.3467933Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3468032Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3468037Z 
2022-11-23T01:32:30.3468112Z import triton
2022-11-23T01:32:30.3468207Z import triton.language as tl
2022-11-23T01:32:30.3468335Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3468479Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3468484Z 
2022-11-23T01:32:30.3468489Z 
2022-11-23T01:32:30.3468628Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3468840Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3468959Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3469071Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3469176Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3469245Z {
2022-11-23T01:32:30.3469349Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3469418Z     {
2022-11-23T01:32:30.3469501Z         #pragma omp for 
2022-11-23T01:32:30.3469585Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.3469653Z         {
2022-11-23T01:32:30.3469800Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3469943Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3470038Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3470181Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.3470335Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3470431Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.3470542Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3470657Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.3470738Z         }
2022-11-23T01:32:30.3470853Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3470946Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.3471015Z         {
2022-11-23T01:32:30.3471100Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3471208Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.3471299Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3471403Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.3471493Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3471582Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.3471669Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.3471786Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:30.3471859Z         }
2022-11-23T01:32:30.3471926Z     }
2022-11-23T01:32:30.3471992Z }
2022-11-23T01:32:30.3472087Z ''')
2022-11-23T01:32:30.3472092Z 
2022-11-23T01:32:30.3472119Z 
2022-11-23T01:32:30.3472217Z async_compile.wait(globals())
2022-11-23T01:32:30.3472296Z del async_compile
2022-11-23T01:32:30.3472301Z 
2022-11-23T01:32:30.3472371Z def call(args):
2022-11-23T01:32:30.3472447Z     arg0_1, = args
2022-11-23T01:32:30.3472524Z     args.clear()
2022-11-23T01:32:30.3472745Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3472972Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3473143Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3473217Z     del arg0_1
2022-11-23T01:32:30.3473300Z     return (buf0, buf1, )
2022-11-23T01:32:30.3473306Z 
2022-11-23T01:32:30.3473313Z 
2022-11-23T01:32:30.3473389Z if __name__ == "__main__":
2022-11-23T01:32:30.3473511Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3473641Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3473878Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3473994Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3473999Z 
2022-11-23T01:32:30.3474072Z ok (1.567s)
2022-11-23T01:32:30.3474373Z   test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3474688Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3474910Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3475159Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3475436Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3475756Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3476097Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3476416Z [2022-11-23 01:27:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3476788Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599> 
2022-11-23T01:32:30.3476893Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3476993Z                2 LOAD_METHOD              1 (stack)
2022-11-23T01:32:30.3477001Z 
2022-11-23T01:32:30.3477099Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3477196Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:30.3477297Z                8 LOAD_CONST               1 (12)
2022-11-23T01:32:30.3477394Z               10 LOAD_CONST               2 (16)
2022-11-23T01:32:30.3477489Z               12 CALL_METHOD              2
2022-11-23T01:32:30.3477494Z 
2022-11-23T01:32:30.3477591Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3477692Z               16 LOAD_METHOD              2 (expand)
2022-11-23T01:32:30.3477789Z               18 LOAD_CONST               1 (12)
2022-11-23T01:32:30.3477885Z               20 LOAD_CONST               2 (16)
2022-11-23T01:32:30.3477973Z               22 CALL_METHOD              2
2022-11-23T01:32:30.3478007Z 
2022-11-23T01:32:30.3478105Z 2601          24 BUILD_LIST               2
2022-11-23T01:32:30.3478110Z 
2022-11-23T01:32:30.3478206Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3478235Z 
2022-11-23T01:32:30.3478329Z 2600          28 CALL_METHOD              2
2022-11-23T01:32:30.3478412Z               30 RETURN_VALUE
2022-11-23T01:32:30.3478477Z  
2022-11-23T01:32:30.3478482Z 
2022-11-23T01:32:30.3478799Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:30.3479020Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3479381Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3479682Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602
2022-11-23T01:32:30.3480008Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3480362Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3480742Z [2022-11-23 01:27:11,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:30.3481155Z [2022-11-23 01:27:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:30.3481614Z [2022-11-23 01:27:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3481921Z [2022-11-23 01:27:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603
2022-11-23T01:32:30.3482266Z [2022-11-23 01:27:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3482684Z [2022-11-23 01:27:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3483094Z [2022-11-23 01:27:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:30.3483532Z [2022-11-23 01:27:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:30.3484014Z [2022-11-23 01:27:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3484323Z [2022-11-23 01:27:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601
2022-11-23T01:32:30.3484729Z [2022-11-23 01:27:11,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3485037Z [2022-11-23 01:27:11,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605
2022-11-23T01:32:30.3485391Z [2022-11-23 01:27:11,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.3485695Z [2022-11-23 01:27:11,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:30.3486072Z [2022-11-23 01:27:11,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3486321Z [2022-11-23 01:27:11,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3486697Z [2022-11-23 01:27:11,165] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599>
2022-11-23T01:32:30.3486946Z [2022-11-23 01:27:11,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3487190Z [2022-11-23 01:27:11,165] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3487446Z [2022-11-23 01:27:11,166] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3487697Z [2022-11-23 01:27:11,169] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3487890Z [2022-11-23 01:27:11,169] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3488026Z  __compiled_fn_228 <eval_with_key>.1412 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3488123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3488219Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3488334Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T01:32:30.3488448Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T01:32:30.3488704Z call_function, stack, <built-in method stack of type object at 0x7f209c394c60>, ([expand, expand_1], 2), {}
2022-11-23T01:32:30.3488809Z output, output, output, ((stack,),), {}
2022-11-23T01:32:30.3488815Z 
2022-11-23T01:32:30.3489147Z [2022-11-23 01:27:11,170] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3489243Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3489345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3489440Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3489542Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3489637Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3489735Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3489818Z              12 RETURN_VALUE
2022-11-23T01:32:30.3489823Z 
2022-11-23T01:32:30.3489891Z  
2022-11-23T01:32:30.3490216Z [2022-11-23 01:27:11,170] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3490339Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_228)
2022-11-23T01:32:30.3490437Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3490533Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3490619Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3490713Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3490809Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3490886Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3490980Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3491078Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3491194Z              18 RETURN_VALUE
2022-11-23T01:32:30.3491201Z 
2022-11-23T01:32:30.3491268Z  
2022-11-23T01:32:30.3491461Z [2022-11-23 01:27:11,170] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3491563Z  - 
2022-11-23T01:32:30.3491683Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3491756Z             {
2022-11-23T01:32:30.3491903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3492103Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3492254Z                 'obj_weakref': None
2022-11-23T01:32:30.3492508Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3492578Z             }
2022-11-23T01:32:30.3492641Z             
2022-11-23T01:32:30.3492718Z  - 
2022-11-23T01:32:30.3492848Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3492918Z             {
2022-11-23T01:32:30.3493074Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3493189Z                 'code': None,
2022-11-23T01:32:30.3493405Z                 'obj_weakref': <weakref at 0x7f201e2882c0; to 'Tensor' at 0x7f21284a88b0>
2022-11-23T01:32:30.3493657Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3493729Z             }
2022-11-23T01:32:30.3493798Z             
2022-11-23T01:32:30.3493875Z  - 
2022-11-23T01:32:30.3494005Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3494075Z             {
2022-11-23T01:32:30.3494225Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3494332Z                 'code': None,
2022-11-23T01:32:30.3494540Z                 'obj_weakref': <weakref at 0x7f201e28b880; to 'Tensor' at 0x7f2060205c10>
2022-11-23T01:32:30.3494790Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3494860Z             }
2022-11-23T01:32:30.3494932Z             
2022-11-23T01:32:30.3495010Z  - 
2022-11-23T01:32:30.3495147Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3495210Z             {
2022-11-23T01:32:30.3495351Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3495533Z                 'code': ['___check_obj_id(model, 139780077316144)'],
2022-11-23T01:32:30.3495658Z                 'obj_weakref': None
2022-11-23T01:32:30.3495891Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3495961Z             }
2022-11-23T01:32:30.3496030Z             
2022-11-23T01:32:30.3496099Z  - 
2022-11-23T01:32:30.3496225Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3496295Z             {
2022-11-23T01:32:30.3496437Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3496662Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3496786Z                 'obj_weakref': None
2022-11-23T01:32:30.3497014Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3497077Z             }
2022-11-23T01:32:30.3497150Z             
2022-11-23T01:32:30.3497228Z  - 
2022-11-23T01:32:30.3497370Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3497440Z             {
2022-11-23T01:32:30.3497566Z                 'guard_types': None,
2022-11-23T01:32:30.3497683Z                 'code': None,
2022-11-23T01:32:30.3497800Z                 'obj_weakref': None
2022-11-23T01:32:30.3497926Z                 'guarded_class': None
2022-11-23T01:32:30.3497996Z             }
2022-11-23T01:32:30.3498064Z             
2022-11-23T01:32:30.3498331Z [2022-11-23 01:27:11,177] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220
2022-11-23T01:32:30.3498695Z [2022-11-23 01:27:12,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u4/cu4nemlrbcz2ibzw637edgczuy3vyreod45euhqrwctqmtfnohbd.py
2022-11-23T01:32:30.3499139Z [2022-11-23 01:27:12,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220
2022-11-23T01:32:30.3499146Z 
2022-11-23T01:32:30.3499284Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3499353Z import torch
2022-11-23T01:32:30.3499428Z import random
2022-11-23T01:32:30.3499550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3499679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3499684Z 
2022-11-23T01:32:30.3499770Z aten = torch.ops.aten
2022-11-23T01:32:30.3499910Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3500007Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3500013Z 
2022-11-23T01:32:30.3500088Z import triton
2022-11-23T01:32:30.3500175Z import triton.language as tl
2022-11-23T01:32:30.3500304Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3500449Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3500454Z 
2022-11-23T01:32:30.3500459Z 
2022-11-23T01:32:30.3500602Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3500812Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3500942Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3501053Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3501152Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3501255Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3501323Z {
2022-11-23T01:32:30.3501426Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3501494Z     {
2022-11-23T01:32:30.3501589Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.3501675Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:30.3501738Z         {
2022-11-23T01:32:30.3501830Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:30.3501898Z             {
2022-11-23T01:32:30.3501970Z                 {
2022-11-23T01:32:30.3502043Z                     {
2022-11-23T01:32:30.3502146Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:30.3502252Z                         out_ptr0[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:32:30.3502322Z                     }
2022-11-23T01:32:30.3502392Z                 }
2022-11-23T01:32:30.3502460Z             }
2022-11-23T01:32:30.3502527Z         }
2022-11-23T01:32:30.3502622Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.3502708Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:30.3502776Z         {
2022-11-23T01:32:30.3502861Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:30.3502930Z             {
2022-11-23T01:32:30.3503000Z                 {
2022-11-23T01:32:30.3503072Z                     {
2022-11-23T01:32:30.3503173Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.3503281Z                         out_ptr1[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:32:30.3503350Z                     }
2022-11-23T01:32:30.3503421Z                 }
2022-11-23T01:32:30.3503491Z             }
2022-11-23T01:32:30.3503559Z         }
2022-11-23T01:32:30.3503629Z     }
2022-11-23T01:32:30.3503700Z }
2022-11-23T01:32:30.3503786Z ''')
2022-11-23T01:32:30.3503792Z 
2022-11-23T01:32:30.3503796Z 
2022-11-23T01:32:30.3503885Z async_compile.wait(globals())
2022-11-23T01:32:30.3503962Z del async_compile
2022-11-23T01:32:30.3503967Z 
2022-11-23T01:32:30.3504045Z def call(args):
2022-11-23T01:32:30.3504125Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3504201Z     args.clear()
2022-11-23T01:32:30.3504412Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3504525Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T01:32:30.3504640Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T01:32:30.3504863Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3504939Z     del arg0_1
2022-11-23T01:32:30.3505013Z     del arg1_1
2022-11-23T01:32:30.3505089Z     return (buf2, )
2022-11-23T01:32:30.3505095Z 
2022-11-23T01:32:30.3505136Z 
2022-11-23T01:32:30.3505219Z if __name__ == "__main__":
2022-11-23T01:32:30.3505340Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3505471Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3505679Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3505875Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3505998Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3506003Z 
2022-11-23T01:32:30.3506076Z ok (1.561s)
2022-11-23T01:32:30.3506380Z   test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3506702Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3506925Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3507187Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3507470Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3507792Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3508128Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3508455Z [2022-11-23 01:27:12,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3508831Z [2022-11-23 01:27:12,722] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285> 
2022-11-23T01:32:30.3508941Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3509043Z                2 LOAD_METHOD              1 (var)
2022-11-23T01:32:30.3509143Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3509243Z                6 LOAD_CONST               1 (True)
2022-11-23T01:32:30.3509338Z                8 CALL_METHOD              2
2022-11-23T01:32:30.3509343Z 
2022-11-23T01:32:30.3509443Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3509535Z               12 LOAD_METHOD              1 (var)
2022-11-23T01:32:30.3509631Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3509735Z               16 LOAD_CONST               2 (False)
2022-11-23T01:32:30.3509830Z               18 CALL_METHOD              2
2022-11-23T01:32:30.3509836Z 
2022-11-23T01:32:30.3509935Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3510035Z               22 LOAD_METHOD              1 (var)
2022-11-23T01:32:30.3510133Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3510331Z               26 LOAD_CONST               3 (-1)
2022-11-23T01:32:30.3510446Z               28 LOAD_CONST               1 (True)
2022-11-23T01:32:30.3510551Z               30 CALL_METHOD              3
2022-11-23T01:32:30.3510558Z 
2022-11-23T01:32:30.3510665Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3510766Z               34 LOAD_METHOD              1 (var)
2022-11-23T01:32:30.3510862Z               36 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3511006Z               38 LOAD_CONST               3 (-1)
2022-11-23T01:32:30.3511103Z               40 LOAD_CONST               2 (False)
2022-11-23T01:32:30.3511227Z               42 CALL_METHOD              3
2022-11-23T01:32:30.3511233Z 
2022-11-23T01:32:30.3511334Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3511456Z               46 LOAD_METHOD              2 (std)
2022-11-23T01:32:30.3511553Z               48 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3511648Z               50 LOAD_CONST               2 (False)
2022-11-23T01:32:30.3511742Z               52 CALL_METHOD              2
2022-11-23T01:32:30.3511748Z 
2022-11-23T01:32:30.3511850Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3511950Z               56 LOAD_METHOD              2 (std)
2022-11-23T01:32:30.3512039Z               58 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3512134Z               60 LOAD_CONST               4 (0)
2022-11-23T01:32:30.3512228Z               62 LOAD_CONST               5 (1)
2022-11-23T01:32:30.3512321Z               64 BUILD_LIST               2
2022-11-23T01:32:30.3512424Z               66 LOAD_CONST               1 (True)
2022-11-23T01:32:30.3512516Z               68 CALL_METHOD              3
2022-11-23T01:32:30.3512521Z 
2022-11-23T01:32:30.3512620Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3512714Z               72 LOAD_METHOD              2 (std)
2022-11-23T01:32:30.3512811Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3512904Z               76 LOAD_CONST               4 (0)
2022-11-23T01:32:30.3513003Z               78 LOAD_CONST               5 (1)
2022-11-23T01:32:30.3513095Z               80 BUILD_LIST               2
2022-11-23T01:32:30.3513194Z               82 LOAD_CONST               2 (False)
2022-11-23T01:32:30.3513286Z               84 CALL_METHOD              3
2022-11-23T01:32:30.3513291Z 
2022-11-23T01:32:30.3513387Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3513478Z               88 LOAD_ATTR                2 (std)
2022-11-23T01:32:30.3513571Z               90 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3513720Z               92 LOAD_CONST               6 (-2)
2022-11-23T01:32:30.3513820Z               94 LOAD_CONST               1 (True)
2022-11-23T01:32:30.3513917Z               96 LOAD_CONST               1 (True)
2022-11-23T01:32:30.3514078Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T01:32:30.3514178Z              100 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.3514183Z 
2022-11-23T01:32:30.3514270Z 2286         102 BUILD_TUPLE              8
2022-11-23T01:32:30.3514353Z              104 RETURN_VALUE
2022-11-23T01:32:30.3514420Z  
2022-11-23T01:32:30.3514425Z 
2022-11-23T01:32:30.3514736Z [2022-11-23 01:27:12,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287
2022-11-23T01:32:30.3514959Z [2022-11-23 01:27:12,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3515320Z [2022-11-23 01:27:12,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3515635Z [2022-11-23 01:27:12,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3515991Z [2022-11-23 01:27:12,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3516370Z [2022-11-23 01:27:12,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.3516675Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288
2022-11-23T01:32:30.3516988Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.3517374Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3517731Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3518102Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3518507Z [2022-11-23 01:27:12,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.3518822Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289
2022-11-23T01:32:30.3519095Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3519510Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3519871Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3520260Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3520692Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3521163Z [2022-11-23 01:27:12,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3521469Z [2022-11-23 01:27:12,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290
2022-11-23T01:32:30.3521771Z [2022-11-23 01:27:12,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3522251Z [2022-11-23 01:27:12,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3522638Z [2022-11-23 01:27:12,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3523062Z [2022-11-23 01:27:12,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3523520Z [2022-11-23 01:27:12,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3524039Z [2022-11-23 01:27:12,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3524350Z [2022-11-23 01:27:12,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291
2022-11-23T01:32:30.3524695Z [2022-11-23 01:27:12,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3525156Z [2022-11-23 01:27:12,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3525572Z [2022-11-23 01:27:12,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3526021Z [2022-11-23 01:27:12,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3526507Z [2022-11-23 01:27:12,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.3526816Z [2022-11-23 01:27:12,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292
2022-11-23T01:32:30.3527166Z [2022-11-23 01:27:12,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3527653Z [2022-11-23 01:27:12,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3528097Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3528567Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3529070Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3529608Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3530105Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.3530676Z [2022-11-23 01:27:12,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.3530986Z [2022-11-23 01:27:12,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293
2022-11-23T01:32:30.3531386Z [2022-11-23 01:27:12,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3531888Z [2022-11-23 01:27:12,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3532405Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3532898Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3533429Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3533991Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3534510Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.3535067Z [2022-11-23 01:27:12,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.3535372Z [2022-11-23 01:27:12,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294
2022-11-23T01:32:30.3535775Z [2022-11-23 01:27:12,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3536312Z [2022-11-23 01:27:12,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3536803Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3537347Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3537907Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3538523Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3539353Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.3540037Z [2022-11-23 01:27:12,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.3540347Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286
2022-11-23T01:32:30.3540771Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3541021Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3541397Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285>
2022-11-23T01:32:30.3541645Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3541885Z [2022-11-23 01:27:12,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3542142Z [2022-11-23 01:27:12,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3542395Z [2022-11-23 01:27:12,744] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3542582Z [2022-11-23 01:27:12,744] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3542725Z  __compiled_fn_229 <eval_with_key>.1418 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3542825Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3549734Z call_function, var, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, True), {}
2022-11-23T01:32:30.3550005Z call_function, var_1, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:30.3550315Z call_function, var_2, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, True), {}
2022-11-23T01:32:30.3550586Z call_function, var_3, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, False), {}
2022-11-23T01:32:30.3550845Z call_function, std, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:30.3551182Z call_function, std_1, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], True), {}
2022-11-23T01:32:30.3551429Z call_function, std_2, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], False), {}
2022-11-23T01:32:30.3551719Z call_function, std_3, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T01:32:30.3551867Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T01:32:30.3551874Z 
2022-11-23T01:32:30.3552204Z [2022-11-23 01:27:12,745] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3552310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3552411Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3552505Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3552606Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3552695Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3552791Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3552873Z              12 RETURN_VALUE
2022-11-23T01:32:30.3552878Z 
2022-11-23T01:32:30.3552945Z  
2022-11-23T01:32:30.3553275Z [2022-11-23 01:27:12,745] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3553396Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_229)
2022-11-23T01:32:30.3553494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3553595Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3553672Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3553767Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3553880Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3553990Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3554086Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3554171Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3554280Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3554369Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3554455Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3554564Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3554658Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3554741Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3554849Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3554943Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.3555018Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3555127Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3555221Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.3555304Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.3555416Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3555510Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:30.3555591Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.3555692Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3555788Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:30.3555868Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.3555978Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3556073Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:30.3556156Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.3556252Z              60 BUILD_TUPLE              8
2022-11-23T01:32:30.3556327Z              62 RETURN_VALUE
2022-11-23T01:32:30.3556339Z 
2022-11-23T01:32:30.3556400Z  
2022-11-23T01:32:30.3556589Z [2022-11-23 01:27:12,745] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3556666Z  - 
2022-11-23T01:32:30.3556790Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3556860Z             {
2022-11-23T01:32:30.3557039Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3557225Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3557373Z                 'obj_weakref': None
2022-11-23T01:32:30.3557599Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3557669Z             }
2022-11-23T01:32:30.3557738Z             
2022-11-23T01:32:30.3557814Z  - 
2022-11-23T01:32:30.3557942Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3558004Z             {
2022-11-23T01:32:30.3558152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3558265Z                 'code': None,
2022-11-23T01:32:30.3558475Z                 'obj_weakref': <weakref at 0x7f20230702c0; to 'Tensor' at 0x7f20232295d0>
2022-11-23T01:32:30.3558726Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3558798Z             }
2022-11-23T01:32:30.3558872Z             
2022-11-23T01:32:30.3558943Z  - 
2022-11-23T01:32:30.3559079Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3559147Z             {
2022-11-23T01:32:30.3559290Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3559465Z                 'code': ['___check_obj_id(model, 139780077316144)'],
2022-11-23T01:32:30.3559587Z                 'obj_weakref': None
2022-11-23T01:32:30.3559814Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3559884Z             }
2022-11-23T01:32:30.3559947Z             
2022-11-23T01:32:30.3560023Z  - 
2022-11-23T01:32:30.3560150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3560219Z             {
2022-11-23T01:32:30.3560360Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3560580Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3560699Z                 'obj_weakref': None
2022-11-23T01:32:30.3560922Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3560995Z             }
2022-11-23T01:32:30.3561063Z             
2022-11-23T01:32:30.3561140Z  - 
2022-11-23T01:32:30.3561278Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3561347Z             {
2022-11-23T01:32:30.3561467Z                 'guard_types': None,
2022-11-23T01:32:30.3561583Z                 'code': None,
2022-11-23T01:32:30.3561706Z                 'obj_weakref': None
2022-11-23T01:32:30.3561833Z                 'guarded_class': None
2022-11-23T01:32:30.3561903Z             }
2022-11-23T01:32:30.3561972Z             
2022-11-23T01:32:30.3562234Z [2022-11-23 01:27:12,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221
2022-11-23T01:32:30.3562240Z 
2022-11-23T01:32:30.3562355Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3562438Z import torch
2022-11-23T01:32:30.3562532Z import random
2022-11-23T01:32:30.3562660Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3562792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3562800Z 
2022-11-23T01:32:30.3562885Z aten = torch.ops.aten
2022-11-23T01:32:30.3563027Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3563128Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3563133Z 
2022-11-23T01:32:30.3563201Z import triton
2022-11-23T01:32:30.3563294Z import triton.language as tl
2022-11-23T01:32:30.3563422Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3563566Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3563571Z 
2022-11-23T01:32:30.3563576Z 
2022-11-23T01:32:30.3563712Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3563923Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3564081Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3564192Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.3564294Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:30.3564427Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:32:30.3564533Z                        float* __restrict__ in_out_ptr4,
2022-11-23T01:32:30.3564637Z                        float* __restrict__ in_out_ptr5,
2022-11-23T01:32:30.3564741Z                        float* __restrict__ in_out_ptr6,
2022-11-23T01:32:30.3564855Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3564960Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3565056Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.3565156Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.3565257Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:30.3565360Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:30.3565468Z                        float* __restrict__ out_ptr10,
2022-11-23T01:32:30.3565574Z                        float* __restrict__ out_ptr12,
2022-11-23T01:32:30.3565682Z                        float* __restrict__ out_ptr14)
2022-11-23T01:32:30.3565743Z {
2022-11-23T01:32:30.3565838Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:30.3565928Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:32:30.3566017Z     auto out_ptr6 = in_out_ptr2;
2022-11-23T01:32:30.3566106Z     auto out_ptr8 = in_out_ptr3;
2022-11-23T01:32:30.3566194Z     auto out_ptr9 = in_out_ptr4;
2022-11-23T01:32:30.3566288Z     auto out_ptr11 = in_out_ptr5;
2022-11-23T01:32:30.3566371Z     auto out_ptr13 = in_out_ptr6;
2022-11-23T01:32:30.3566440Z     {
2022-11-23T01:32:30.3566643Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3566726Z         float tmp1 = 0;
2022-11-23T01:32:30.3566857Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3566969Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3567038Z         {
2022-11-23T01:32:30.3567152Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:32:30.3567241Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3567311Z             {
2022-11-23T01:32:30.3567458Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3567550Z                 tmp1_vec += tmp0;
2022-11-23T01:32:30.3567618Z             }
2022-11-23T01:32:30.3567822Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.3567956Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T01:32:30.3568046Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.3568116Z             {
2022-11-23T01:32:30.3568211Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3568297Z                 tmp1 += tmp0;
2022-11-23T01:32:30.3568366Z             }
2022-11-23T01:32:30.3568433Z         }
2022-11-23T01:32:30.3568517Z         out_ptr0[0] = tmp1;
2022-11-23T01:32:30.3568580Z     }
2022-11-23T01:32:30.3568646Z     {
2022-11-23T01:32:30.3568838Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3568923Z         float tmp6 = 0;
2022-11-23T01:32:30.3569048Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.3569128Z         float tmp7 = 0;
2022-11-23T01:32:30.3569250Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.3569360Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3569422Z         {
2022-11-23T01:32:30.3569563Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:32:30.3569655Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3569727Z             {
2022-11-23T01:32:30.3569904Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3570042Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T01:32:30.3570207Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:30.3570296Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3570432Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3570528Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.3570613Z                 tmp6_vec += tmp5;
2022-11-23T01:32:30.3570697Z                 tmp7_vec += tmp0;
2022-11-23T01:32:30.3570769Z             }
2022-11-23T01:32:30.3570975Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.3571182Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.3571328Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:32:30.3571427Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.3571502Z             {
2022-11-23T01:32:30.3571598Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3571690Z                 auto tmp1 = out_ptr0[0];
2022-11-23T01:32:30.3571827Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:30.3571928Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3572069Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3572163Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3572246Z                 tmp6 += tmp5;
2022-11-23T01:32:30.3572327Z                 tmp7 += tmp0;
2022-11-23T01:32:30.3572396Z             }
2022-11-23T01:32:30.3572464Z         }
2022-11-23T01:32:30.3572546Z         out_ptr1[0] = tmp6;
2022-11-23T01:32:30.3572622Z         out_ptr2[0] = tmp7;
2022-11-23T01:32:30.3572689Z     }
2022-11-23T01:32:30.3572758Z     {
2022-11-23T01:32:30.3572952Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3573033Z         float tmp6 = 0;
2022-11-23T01:32:30.3573160Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.3573242Z         float tmp7 = 0;
2022-11-23T01:32:30.3573368Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.3573472Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3573541Z         {
2022-11-23T01:32:30.3573684Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:32:30.3573776Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3573846Z             {
2022-11-23T01:32:30.3573988Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3574121Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[0]);
2022-11-23T01:32:30.3574262Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:30.3574355Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3574489Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3574586Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.3574672Z                 tmp6_vec += tmp5;
2022-11-23T01:32:30.3574757Z                 tmp7_vec += tmp0;
2022-11-23T01:32:30.3574825Z             }
2022-11-23T01:32:30.3575025Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.3575215Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.3575364Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:32:30.3575459Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.3575529Z             {
2022-11-23T01:32:30.3575654Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3575750Z                 auto tmp1 = out_ptr2[0];
2022-11-23T01:32:30.3575862Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:30.3575970Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3576105Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3576197Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3576277Z                 tmp6 += tmp5;
2022-11-23T01:32:30.3576359Z                 tmp7 += tmp0;
2022-11-23T01:32:30.3576429Z             }
2022-11-23T01:32:30.3576496Z         }
2022-11-23T01:32:30.3576572Z         out_ptr3[0] = tmp6;
2022-11-23T01:32:30.3576653Z         out_ptr4[0] = tmp7;
2022-11-23T01:32:30.3576721Z     }
2022-11-23T01:32:30.3576826Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3576893Z     {
2022-11-23T01:32:30.3576976Z         #pragma omp for 
2022-11-23T01:32:30.3577064Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3577129Z         {
2022-11-23T01:32:30.3577198Z             {
2022-11-23T01:32:30.3577396Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3577487Z                 float tmp1 = 0;
2022-11-23T01:32:30.3577618Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3577714Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3577787Z                 {
2022-11-23T01:32:30.3577930Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3578020Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.3578091Z                 }
2022-11-23T01:32:30.3578294Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.3578423Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.3578522Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3578595Z                 {
2022-11-23T01:32:30.3578703Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3579237Z                     tmp1 += tmp0;
2022-11-23T01:32:30.3579320Z                 }
2022-11-23T01:32:30.3579409Z                 out_ptr5[i0] = tmp1;
2022-11-23T01:32:30.3579482Z             }
2022-11-23T01:32:30.3579551Z         }
2022-11-23T01:32:30.3579635Z         #pragma omp for 
2022-11-23T01:32:30.3579726Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3579788Z         {
2022-11-23T01:32:30.3579856Z             {
2022-11-23T01:32:30.3580063Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3580149Z                 float tmp6 = 0;
2022-11-23T01:32:30.3580277Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.3580362Z                 float tmp7 = 0;
2022-11-23T01:32:30.3580493Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.3580584Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3580655Z                 {
2022-11-23T01:32:30.3580809Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3580944Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T01:32:30.3581093Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.3581193Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3581342Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3581439Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.3581521Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.3581611Z                     tmp7_vec += tmp0;
2022-11-23T01:32:30.3581682Z                 }
2022-11-23T01:32:30.3581951Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.3582152Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.3582334Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:30.3582429Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3582502Z                 {
2022-11-23T01:32:30.3582610Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3582703Z                     auto tmp1 = out_ptr5[i0];
2022-11-23T01:32:30.3582812Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:30.3582909Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3583052Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3583147Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3583232Z                     tmp6 += tmp5;
2022-11-23T01:32:30.3583319Z                     tmp7 += tmp0;
2022-11-23T01:32:30.3583383Z                 }
2022-11-23T01:32:30.3583472Z                 out_ptr6[i0] = tmp6;
2022-11-23T01:32:30.3583559Z                 out_ptr7[i0] = tmp7;
2022-11-23T01:32:30.3583632Z             }
2022-11-23T01:32:30.3583702Z         }
2022-11-23T01:32:30.3583786Z         #pragma omp for 
2022-11-23T01:32:30.3583866Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3583936Z         {
2022-11-23T01:32:30.3584006Z             {
2022-11-23T01:32:30.3584200Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3584287Z                 float tmp6 = 0;
2022-11-23T01:32:30.3584414Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.3584510Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3584581Z                 {
2022-11-23T01:32:30.3584727Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3584861Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr7[i0]);
2022-11-23T01:32:30.3585007Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.3585111Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3585252Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3585350Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.3585437Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.3585509Z                 }
2022-11-23T01:32:30.3585704Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.3585834Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T01:32:30.3585928Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3585999Z                 {
2022-11-23T01:32:30.3586110Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3586215Z                     auto tmp1 = out_ptr7[i0];
2022-11-23T01:32:30.3586324Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:30.3586417Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3586556Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3586651Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3586743Z                     tmp6 += tmp5;
2022-11-23T01:32:30.3586813Z                 }
2022-11-23T01:32:30.3586901Z                 out_ptr8[i0] = tmp6;
2022-11-23T01:32:30.3586970Z             }
2022-11-23T01:32:30.3587031Z         }
2022-11-23T01:32:30.3587099Z     }
2022-11-23T01:32:30.3587165Z     {
2022-11-23T01:32:30.3587356Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3587436Z         float tmp6 = 0;
2022-11-23T01:32:30.3587590Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.3587703Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3587764Z         {
2022-11-23T01:32:30.3587878Z             #pragma omp for reduction(+:tmp6_vec) 
2022-11-23T01:32:30.3587993Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3588065Z             {
2022-11-23T01:32:30.3588209Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3588345Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr4[0]);
2022-11-23T01:32:30.3588492Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:30.3588585Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3588713Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3588806Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.3588893Z                 tmp6_vec += tmp5;
2022-11-23T01:32:30.3588961Z             }
2022-11-23T01:32:30.3589162Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.3589294Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) 
2022-11-23T01:32:30.3589393Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.3589462Z             {
2022-11-23T01:32:30.3589547Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3589639Z                 auto tmp1 = out_ptr4[0];
2022-11-23T01:32:30.3589749Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:30.3589839Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3589970Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3590061Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3590142Z                 tmp6 += tmp5;
2022-11-23T01:32:30.3590204Z             }
2022-11-23T01:32:30.3590340Z         }
2022-11-23T01:32:30.3590447Z         out_ptr9[0] = tmp6;
2022-11-23T01:32:30.3590516Z     }
2022-11-23T01:32:30.3590624Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3590691Z     {
2022-11-23T01:32:30.3590767Z         #pragma omp for 
2022-11-23T01:32:30.3590857Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3590926Z         {
2022-11-23T01:32:30.3590997Z             {
2022-11-23T01:32:30.3591068Z                 {
2022-11-23T01:32:30.3591153Z                     float tmp1 = 0;
2022-11-23T01:32:30.3591252Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.3591317Z                     {
2022-11-23T01:32:30.3591392Z                         {
2022-11-23T01:32:30.3591504Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:30.3591593Z                             tmp1 += tmp0;
2022-11-23T01:32:30.3591670Z                         }
2022-11-23T01:32:30.3591761Z                     }
2022-11-23T01:32:30.3591860Z                     out_ptr10[i0] = tmp1;
2022-11-23T01:32:30.3591940Z                 }
2022-11-23T01:32:30.3592017Z             }
2022-11-23T01:32:30.3592086Z         }
2022-11-23T01:32:30.3592173Z         #pragma omp for 
2022-11-23T01:32:30.3592260Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3592329Z         {
2022-11-23T01:32:30.3592391Z             {
2022-11-23T01:32:30.3592463Z                 {
2022-11-23T01:32:30.3592549Z                     float tmp6 = 0;
2022-11-23T01:32:30.3592635Z                     float tmp7 = 0;
2022-11-23T01:32:30.3592736Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.3592810Z                     {
2022-11-23T01:32:30.3592883Z                         {
2022-11-23T01:32:30.3592989Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:30.3593096Z                             auto tmp1 = out_ptr10[i0];
2022-11-23T01:32:30.3593213Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:30.3593317Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3593468Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3593601Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3593693Z                             tmp6 += tmp5;
2022-11-23T01:32:30.3593774Z                             tmp7 += tmp0;
2022-11-23T01:32:30.3593878Z                         }
2022-11-23T01:32:30.3593950Z                     }
2022-11-23T01:32:30.3594041Z                     out_ptr11[i0] = tmp6;
2022-11-23T01:32:30.3594134Z                     out_ptr12[i0] = tmp7;
2022-11-23T01:32:30.3594206Z                 }
2022-11-23T01:32:30.3594274Z             }
2022-11-23T01:32:30.3594336Z         }
2022-11-23T01:32:30.3594418Z         #pragma omp for 
2022-11-23T01:32:30.3594509Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3594577Z         {
2022-11-23T01:32:30.3594646Z             {
2022-11-23T01:32:30.3594716Z                 {
2022-11-23T01:32:30.3594802Z                     float tmp6 = 0;
2022-11-23T01:32:30.3594895Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.3594966Z                     {
2022-11-23T01:32:30.3595043Z                         {
2022-11-23T01:32:30.3595154Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:30.3595260Z                             auto tmp1 = out_ptr12[i0];
2022-11-23T01:32:30.3595379Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:30.3595482Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.3595622Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.3595723Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.3595810Z                             tmp6 += tmp5;
2022-11-23T01:32:30.3595884Z                         }
2022-11-23T01:32:30.3597478Z                     }
2022-11-23T01:32:30.3597569Z                     out_ptr13[i0] = tmp6;
2022-11-23T01:32:30.3597639Z                 }
2022-11-23T01:32:30.3597701Z             }
2022-11-23T01:32:30.3597770Z         }
2022-11-23T01:32:30.3597857Z         #pragma omp single
2022-11-23T01:32:30.3597926Z         {
2022-11-23T01:32:30.3597995Z             {
2022-11-23T01:32:30.3598064Z                 {
2022-11-23T01:32:30.3598155Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:32:30.3598272Z                     auto tmp1 = static_cast<float>(255);
2022-11-23T01:32:30.3598372Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3598468Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:32:30.3598538Z                 }
2022-11-23T01:32:30.3598606Z             }
2022-11-23T01:32:30.3598674Z         }
2022-11-23T01:32:30.3598753Z         #pragma omp single
2022-11-23T01:32:30.3598821Z         {
2022-11-23T01:32:30.3598888Z             {
2022-11-23T01:32:30.3598957Z                 {
2022-11-23T01:32:30.3599055Z                     auto tmp0 = out_ptr3[0];
2022-11-23T01:32:30.3599167Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:32:30.3599265Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3599350Z                     in_out_ptr1[0] = tmp2;
2022-11-23T01:32:30.3599421Z                 }
2022-11-23T01:32:30.3599490Z             }
2022-11-23T01:32:30.3599557Z         }
2022-11-23T01:32:30.3599640Z         #pragma omp for 
2022-11-23T01:32:30.3599727Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3599798Z         {
2022-11-23T01:32:30.3599935Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr6 + 8*i0);
2022-11-23T01:32:30.3600079Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:32:30.3600169Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3600273Z             tmp2.store(in_out_ptr2 + 8*i0);
2022-11-23T01:32:30.3600343Z         }
2022-11-23T01:32:30.3600444Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3600534Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.3600596Z         {
2022-11-23T01:32:30.3600686Z             auto tmp0 = out_ptr6[i0];
2022-11-23T01:32:30.3600791Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:30.3600910Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3601001Z             in_out_ptr2[i0] = tmp2;
2022-11-23T01:32:30.3601071Z         }
2022-11-23T01:32:30.3601153Z         #pragma omp for 
2022-11-23T01:32:30.3601234Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3601325Z         {
2022-11-23T01:32:30.3601465Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr8 + 8*i0);
2022-11-23T01:32:30.3601606Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.3601701Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3601803Z             tmp2.store(in_out_ptr3 + 8*i0);
2022-11-23T01:32:30.3601872Z         }
2022-11-23T01:32:30.3601965Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3602053Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.3602122Z         {
2022-11-23T01:32:30.3602213Z             auto tmp0 = out_ptr8[i0];
2022-11-23T01:32:30.3602316Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:30.3602413Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3602502Z             in_out_ptr3[i0] = tmp2;
2022-11-23T01:32:30.3602563Z         }
2022-11-23T01:32:30.3602647Z         #pragma omp single
2022-11-23T01:32:30.3602718Z         {
2022-11-23T01:32:30.3602787Z             {
2022-11-23T01:32:30.3602857Z                 {
2022-11-23T01:32:30.3602953Z                     auto tmp0 = out_ptr9[0];
2022-11-23T01:32:30.3603065Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:32:30.3603156Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3603262Z                     auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:30.3603357Z                     in_out_ptr4[0] = tmp3;
2022-11-23T01:32:30.3603428Z                 }
2022-11-23T01:32:30.3603495Z             }
2022-11-23T01:32:30.3603563Z         }
2022-11-23T01:32:30.3603644Z         #pragma omp for 
2022-11-23T01:32:30.3603726Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3603793Z         {
2022-11-23T01:32:30.3603938Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr11 + 8*i0);
2022-11-23T01:32:30.3604082Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:32:30.3604172Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3604266Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:32:30.3604367Z             tmp3.store(in_out_ptr5 + 8*i0);
2022-11-23T01:32:30.3604429Z         }
2022-11-23T01:32:30.3604529Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3604616Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.3604684Z         {
2022-11-23T01:32:30.3604777Z             auto tmp0 = out_ptr11[i0];
2022-11-23T01:32:30.3604881Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:30.3604970Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3605060Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:30.3605149Z             in_out_ptr5[i0] = tmp3;
2022-11-23T01:32:30.3605217Z         }
2022-11-23T01:32:30.3605301Z         #pragma omp for 
2022-11-23T01:32:30.3605389Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.3605458Z         {
2022-11-23T01:32:30.3605600Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr13 + 8*i0);
2022-11-23T01:32:30.3605738Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.3605828Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3605917Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:32:30.3606018Z             tmp3.store(in_out_ptr6 + 8*i0);
2022-11-23T01:32:30.3606087Z         }
2022-11-23T01:32:30.3606189Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3606281Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:30.3606342Z         {
2022-11-23T01:32:30.3606433Z             auto tmp0 = out_ptr13[i0];
2022-11-23T01:32:30.3606538Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:30.3606626Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.3606724Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:30.3606841Z             in_out_ptr6[i0] = tmp3;
2022-11-23T01:32:30.3606911Z         }
2022-11-23T01:32:30.3606986Z         #pragma omp for 
2022-11-23T01:32:30.3607073Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3607166Z         {
2022-11-23T01:32:30.3607255Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3607324Z             {
2022-11-23T01:32:30.3607475Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3607630Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3607775Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3607925Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T01:32:30.3608020Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3608113Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3608208Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.3608350Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:30.3608440Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:30.3608582Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:30.3608671Z                 auto tmp10 = tmp9.pow(2);
2022-11-23T01:32:30.3608803Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T01:32:30.3608899Z                 auto tmp12 = tmp11.pow(2);
2022-11-23T01:32:30.3608996Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T01:32:30.3609130Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T01:32:30.3609227Z                 auto tmp15 = tmp14.pow(2);
2022-11-23T01:32:30.3609325Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T01:32:30.3609450Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T01:32:30.3609546Z                 auto tmp18 = tmp17.pow(2);
2022-11-23T01:32:30.3609643Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T01:32:30.3609792Z                 auto tmp20 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:30.3609887Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T01:32:30.3609985Z                 auto tmp22 = tmp21.sqrt();
2022-11-23T01:32:30.3610097Z                 tmp22.store(out_ptr14 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3610168Z             }
2022-11-23T01:32:30.3610260Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.3610349Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3610418Z             {
2022-11-23T01:32:30.3610521Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.3610628Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:32:30.3610735Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:32:30.3610839Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:32:30.3610926Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3611022Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3611115Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:30.3611222Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T01:32:30.3611314Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:30.3611448Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:30.3611542Z                 auto tmp10 = tmp9 * tmp9;
2022-11-23T01:32:30.3611668Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T01:32:30.3611765Z                 auto tmp12 = tmp11 * tmp11;
2022-11-23T01:32:30.3611863Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T01:32:30.3611996Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T01:32:30.3612091Z                 auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:30.3612190Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T01:32:30.3612345Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T01:32:30.3612452Z                 auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:30.3612552Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T01:32:30.3612689Z                 auto tmp20 = static_cast<float>(3);
2022-11-23T01:32:30.3612785Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T01:32:30.3612892Z                 auto tmp22 = std::sqrt(tmp21);
2022-11-23T01:32:30.3613014Z                 out_ptr14[i1 + (8*i0)] = tmp22;
2022-11-23T01:32:30.3613084Z             }
2022-11-23T01:32:30.3613147Z         }
2022-11-23T01:32:30.3613214Z     }
2022-11-23T01:32:30.3613278Z }
2022-11-23T01:32:30.3613365Z ''')
2022-11-23T01:32:30.3613371Z 
2022-11-23T01:32:30.3613376Z 
2022-11-23T01:32:30.3613473Z async_compile.wait(globals())
2022-11-23T01:32:30.3613551Z del async_compile
2022-11-23T01:32:30.3613556Z 
2022-11-23T01:32:30.3613632Z def call(args):
2022-11-23T01:32:30.3613700Z     arg0_1, = args
2022-11-23T01:32:30.3613775Z     args.clear()
2022-11-23T01:32:30.3613989Z     buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3614181Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3614390Z     buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3614573Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3614780Z     buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3614986Z     buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3615184Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3615394Z     buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3615597Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3615778Z     buf9 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3615989Z     buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3616187Z     buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3616396Z     buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3616592Z     buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3616677Z     buf14 = buf1; del buf1  # reuse
2022-11-23T01:32:30.3616766Z     buf15 = buf3; del buf3  # reuse
2022-11-23T01:32:30.3616855Z     buf16 = buf5; del buf5  # reuse
2022-11-23T01:32:30.3616942Z     buf17 = buf7; del buf7  # reuse
2022-11-23T01:32:30.3617029Z     buf18 = buf9; del buf9  # reuse
2022-11-23T01:32:30.3617121Z     buf19 = buf11; del buf11  # reuse
2022-11-23T01:32:30.3617209Z     buf20 = buf13; del buf13  # reuse
2022-11-23T01:32:30.3617413Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3617873Z     kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr()))
2022-11-23T01:32:30.3617951Z     del arg0_1
2022-11-23T01:32:30.3618080Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T01:32:30.3618086Z 
2022-11-23T01:32:30.3618090Z 
2022-11-23T01:32:30.3618172Z if __name__ == "__main__":
2022-11-23T01:32:30.3618296Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3618430Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3618643Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3618762Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3619391Z [2022-11-23 01:27:14,711] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuibyh4quginljaaf6qgtrj6nfitqn2cfk4bju2exwqtc4p3q7lr.py
2022-11-23T01:32:30.3619656Z [2022-11-23 01:27:14,712] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221
2022-11-23T01:32:30.3619729Z 
2022-11-23T01:32:30.3619805Z ok (1.996s)
2022-11-23T01:32:30.3620322Z   test_strided_inputs_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.3620405Z   warnings.warn(
2022-11-23T01:32:30.3620646Z [2022-11-23 01:27:14,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.3620964Z [2022-11-23 01:27:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3204
2022-11-23T01:32:30.3621178Z [2022-11-23 01:27:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.3621415Z [2022-11-23 01:27:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.3621695Z [2022-11-23 01:27:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3621936Z [2022-11-23 01:27:14,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3622171Z [2022-11-23 01:27:14,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.3622419Z [2022-11-23 01:27:14,720] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.3622663Z [2022-11-23 01:27:14,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.3622860Z [2022-11-23 01:27:14,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3623003Z  __compiled_fn_230 <eval_with_key>.1424 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3623093Z placeholder, x, x, (), {}
2022-11-23T01:32:30.3623184Z placeholder, y, y, (), {}
2022-11-23T01:32:30.3623349Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.3623451Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.3623457Z 
2022-11-23T01:32:30.3623788Z [2022-11-23 01:27:14,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:30.3623889Z 3204           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3623988Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.3624068Z                4 BINARY_ADD
2022-11-23T01:32:30.3624152Z                6 RETURN_VALUE
2022-11-23T01:32:30.3624158Z 
2022-11-23T01:32:30.3624223Z  
2022-11-23T01:32:30.3624544Z [2022-11-23 01:27:14,723] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:30.3624662Z 3202           0 LOAD_GLOBAL              0 (__compiled_fn_230)
2022-11-23T01:32:30.3624764Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3624861Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.3624958Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.3625057Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3625140Z               10 RETURN_VALUE
2022-11-23T01:32:30.3625144Z 
2022-11-23T01:32:30.3625210Z  
2022-11-23T01:32:30.3625390Z [2022-11-23 01:27:14,724] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3625467Z  - 
2022-11-23T01:32:30.3625592Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.3625662Z             {
2022-11-23T01:32:30.3625810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3625923Z                 'code': None,
2022-11-23T01:32:30.3626177Z                 'obj_weakref': <weakref at 0x7f2072855b20; to 'Tensor' at 0x7f21159b6020>
2022-11-23T01:32:30.3626425Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3626535Z             }
2022-11-23T01:32:30.3626606Z             
2022-11-23T01:32:30.3626684Z  - 
2022-11-23T01:32:30.3626813Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.3626882Z             {
2022-11-23T01:32:30.3627032Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3627138Z                 'code': None,
2022-11-23T01:32:30.3627350Z                 'obj_weakref': <weakref at 0x7f2022eb9170; to 'Tensor' at 0x7f206819e930>
2022-11-23T01:32:30.3627595Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3627665Z             }
2022-11-23T01:32:30.3627734Z             
2022-11-23T01:32:30.3627997Z [2022-11-23 01:27:14,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222
2022-11-23T01:32:30.3628362Z [2022-11-23 01:27:16,267] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilgwl3gesb3ed5b7d3rnzzo4yxq5z3diz55zticeokttism2e4j.py
2022-11-23T01:32:30.3628632Z [2022-11-23 01:27:16,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222
2022-11-23T01:32:30.3628637Z 
2022-11-23T01:32:30.3628731Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3628806Z import torch
2022-11-23T01:32:30.3628882Z import random
2022-11-23T01:32:30.3629003Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3629130Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3629135Z 
2022-11-23T01:32:30.3629220Z aten = torch.ops.aten
2022-11-23T01:32:30.3629360Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3629450Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3629463Z 
2022-11-23T01:32:30.3629534Z import triton
2022-11-23T01:32:30.3629629Z import triton.language as tl
2022-11-23T01:32:30.3629761Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3629906Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3629915Z 
2022-11-23T01:32:30.3629919Z 
2022-11-23T01:32:30.3630059Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3630356Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3630501Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3630624Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3630726Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3630794Z {
2022-11-23T01:32:30.3630897Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3630964Z     {
2022-11-23T01:32:30.3631047Z         #pragma omp for 
2022-11-23T01:32:30.3631135Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:30.3631200Z         {
2022-11-23T01:32:30.3631270Z             {
2022-11-23T01:32:30.3631339Z                 {
2022-11-23T01:32:30.3631443Z                     auto tmp0 = in_ptr0[2*i0];
2022-11-23T01:32:30.3631542Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.3631642Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3631734Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.3631798Z                 }
2022-11-23T01:32:30.3631872Z             }
2022-11-23T01:32:30.3631941Z         }
2022-11-23T01:32:30.3632009Z     }
2022-11-23T01:32:30.3632077Z }
2022-11-23T01:32:30.3632164Z ''')
2022-11-23T01:32:30.3632169Z 
2022-11-23T01:32:30.3632174Z 
2022-11-23T01:32:30.3632268Z async_compile.wait(globals())
2022-11-23T01:32:30.3632339Z del async_compile
2022-11-23T01:32:30.3632344Z 
2022-11-23T01:32:30.3632420Z def call(args):
2022-11-23T01:32:30.3632501Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3632578Z     args.clear()
2022-11-23T01:32:30.3632815Z     buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3632989Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3633085Z     del arg0_1
2022-11-23T01:32:30.3633151Z     del arg1_1
2022-11-23T01:32:30.3633228Z     return (buf0, )
2022-11-23T01:32:30.3633234Z 
2022-11-23T01:32:30.3633239Z 
2022-11-23T01:32:30.3633322Z if __name__ == "__main__":
2022-11-23T01:32:30.3633442Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3633573Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3633775Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3633975Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3634097Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3634103Z 
2022-11-23T01:32:30.3634175Z ok (1.554s)
2022-11-23T01:32:30.3634469Z   test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3634789Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3635017Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3635277Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3635557Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3635881Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3636231Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3636557Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3636933Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725> 
2022-11-23T01:32:30.3637033Z  726           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3637125Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3637206Z               4 BINARY_ADD
2022-11-23T01:32:30.3637308Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3637450Z               8 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.3637545Z              10 CALL_METHOD              1
2022-11-23T01:32:30.3637641Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.3637727Z              14 RETURN_VALUE
2022-11-23T01:32:30.3637787Z  
2022-11-23T01:32:30.3637792Z 
2022-11-23T01:32:30.3638114Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726
2022-11-23T01:32:30.3638335Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3638578Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.3638855Z [2022-11-23 01:27:16,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3639104Z [2022-11-23 01:27:16,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3639382Z [2022-11-23 01:27:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3639727Z [2022-11-23 01:27:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3639973Z [2022-11-23 01:27:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.3640239Z [2022-11-23 01:27:16,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3640613Z [2022-11-23 01:27:16,275] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725>
2022-11-23T01:32:30.3640866Z [2022-11-23 01:27:16,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3641105Z [2022-11-23 01:27:16,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3641365Z [2022-11-23 01:27:16,276] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3641620Z [2022-11-23 01:27:16,278] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3641816Z [2022-11-23 01:27:16,279] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3641961Z  __compiled_fn_231 <eval_with_key>.1430 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3642055Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3642154Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3642369Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3642514Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:30.3642616Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:30.3642621Z 
2022-11-23T01:32:30.3642951Z [2022-11-23 01:27:16,279] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3643054Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3643154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3643251Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3643345Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3643441Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3643536Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3643619Z              12 RETURN_VALUE
2022-11-23T01:32:30.3643624Z 
2022-11-23T01:32:30.3643690Z  
2022-11-23T01:32:30.3644022Z [2022-11-23 01:27:16,279] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3644141Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_231)
2022-11-23T01:32:30.3644239Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3644329Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3644412Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3644510Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3644604Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3644687Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3644783Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3644899Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3645003Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3645099Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3645182Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3645276Z              24 BUILD_TUPLE              1
2022-11-23T01:32:30.3645358Z              26 RETURN_VALUE
2022-11-23T01:32:30.3645364Z 
2022-11-23T01:32:30.3645430Z  
2022-11-23T01:32:30.3645619Z [2022-11-23 01:27:16,280] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3645690Z  - 
2022-11-23T01:32:30.3645818Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3645892Z             {
2022-11-23T01:32:30.3646069Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3646263Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3646390Z                 'obj_weakref': None
2022-11-23T01:32:30.3646642Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3646705Z             }
2022-11-23T01:32:30.3646775Z             
2022-11-23T01:32:30.3646851Z  - 
2022-11-23T01:32:30.3646983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3647053Z             {
2022-11-23T01:32:30.3647202Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3647315Z                 'code': None,
2022-11-23T01:32:30.3647520Z                 'obj_weakref': <weakref at 0x7f2023070f40; to 'Tensor' at 0x7f20232295d0>
2022-11-23T01:32:30.3647775Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3647847Z             }
2022-11-23T01:32:30.3647918Z             
2022-11-23T01:32:30.3647995Z  - 
2022-11-23T01:32:30.3648123Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3648193Z             {
2022-11-23T01:32:30.3648333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3648449Z                 'code': None,
2022-11-23T01:32:30.3648659Z                 'obj_weakref': <weakref at 0x7f2068028360; to 'Tensor' at 0x7f2115b20b30>
2022-11-23T01:32:30.3648907Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3648976Z             }
2022-11-23T01:32:30.3649045Z             
2022-11-23T01:32:30.3649121Z  - 
2022-11-23T01:32:30.3649250Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3649320Z             {
2022-11-23T01:32:30.3649461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3649636Z                 'code': ['___check_obj_id(model, 139777163586880)'],
2022-11-23T01:32:30.3649761Z                 'obj_weakref': None
2022-11-23T01:32:30.3649997Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3650066Z             }
2022-11-23T01:32:30.3650128Z             
2022-11-23T01:32:30.3650208Z  - 
2022-11-23T01:32:30.3650334Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3650403Z             {
2022-11-23T01:32:30.3650545Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3650766Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3650892Z                 'obj_weakref': None
2022-11-23T01:32:30.3651110Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3651180Z             }
2022-11-23T01:32:30.3651249Z             
2022-11-23T01:32:30.3651513Z [2022-11-23 01:27:16,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223
2022-11-23T01:32:30.3651883Z [2022-11-23 01:27:17,824] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p2/cp2fxz2hpvi3jlnghdxz75bw6teau67ijnshwz63zp4thh3qusfo.py
2022-11-23T01:32:30.3652160Z [2022-11-23 01:27:17,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223
2022-11-23T01:32:30.3652175Z 
2022-11-23T01:32:30.3652292Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3652379Z import torch
2022-11-23T01:32:30.3652459Z import random
2022-11-23T01:32:30.3652585Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3652712Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3652717Z 
2022-11-23T01:32:30.3652800Z aten = torch.ops.aten
2022-11-23T01:32:30.3652940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3653038Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3653043Z 
2022-11-23T01:32:30.3653117Z import triton
2022-11-23T01:32:30.3653212Z import triton.language as tl
2022-11-23T01:32:30.3653365Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3653510Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3653516Z 
2022-11-23T01:32:30.3653541Z 
2022-11-23T01:32:30.3653682Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3653893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3654019Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3654131Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3654238Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3654305Z {
2022-11-23T01:32:30.3654402Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3654470Z     {
2022-11-23T01:32:30.3654553Z         #pragma omp for 
2022-11-23T01:32:30.3654641Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3654710Z         {
2022-11-23T01:32:30.3654778Z             {
2022-11-23T01:32:30.3654970Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3655059Z                 float tmp3 = 0;
2022-11-23T01:32:30.3655192Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3655289Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3655362Z                 {
2022-11-23T01:32:30.3655512Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3655661Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3655760Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3655841Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3655911Z                 }
2022-11-23T01:32:30.3656113Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3656246Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3656344Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3656414Z                 {
2022-11-23T01:32:30.3656522Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3656628Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.3656718Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3656803Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3656874Z                 }
2022-11-23T01:32:30.3656961Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.3657030Z             }
2022-11-23T01:32:30.3657098Z         }
2022-11-23T01:32:30.3657165Z     }
2022-11-23T01:32:30.3657224Z }
2022-11-23T01:32:30.3657311Z ''')
2022-11-23T01:32:30.3657317Z 
2022-11-23T01:32:30.3657321Z 
2022-11-23T01:32:30.3657415Z async_compile.wait(globals())
2022-11-23T01:32:30.3657492Z del async_compile
2022-11-23T01:32:30.3657497Z 
2022-11-23T01:32:30.3657577Z def call(args):
2022-11-23T01:32:30.3657663Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3657739Z     args.clear()
2022-11-23T01:32:30.3657929Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3658105Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3658182Z     del arg0_1
2022-11-23T01:32:30.3658255Z     del arg1_1
2022-11-23T01:32:30.3658332Z     return (buf0, )
2022-11-23T01:32:30.3658337Z 
2022-11-23T01:32:30.3658342Z 
2022-11-23T01:32:30.3658423Z if __name__ == "__main__":
2022-11-23T01:32:30.3658543Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3658673Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3659058Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3659260Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3659429Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3659435Z 
2022-11-23T01:32:30.3659508Z ok (1.558s)
2022-11-23T01:32:30.3659810Z   test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:17,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3660155Z [2022-11-23 01:27:17,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3660379Z [2022-11-23 01:27:17,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3660635Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3660913Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3661227Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3661565Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3661890Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3662258Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731> 
2022-11-23T01:32:30.3662357Z  732           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3662460Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3662540Z               4 BINARY_ADD
2022-11-23T01:32:30.3662640Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3662728Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3662829Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.3662923Z              12 BUILD_LIST               2
2022-11-23T01:32:30.3663017Z              14 CALL_METHOD              1
2022-11-23T01:32:30.3663114Z              16 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3663207Z              18 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3663287Z              20 BINARY_ADD
2022-11-23T01:32:30.3663387Z              22 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3663521Z              24 LOAD_CONST               3 (-1)
2022-11-23T01:32:30.3663615Z              26 CALL_METHOD              1
2022-11-23T01:32:30.3663709Z              28 BUILD_TUPLE              2
2022-11-23T01:32:30.3663791Z              30 RETURN_VALUE
2022-11-23T01:32:30.3663858Z  
2022-11-23T01:32:30.3663863Z 
2022-11-23T01:32:30.3664175Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732
2022-11-23T01:32:30.3664390Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3664625Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.3664901Z [2022-11-23 01:27:17,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3665145Z [2022-11-23 01:27:17,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3665417Z [2022-11-23 01:27:17,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3665721Z [2022-11-23 01:27:17,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3666092Z [2022-11-23 01:27:17,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.3666392Z [2022-11-23 01:27:17,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T01:32:30.3666653Z [2022-11-23 01:27:17,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.3666917Z [2022-11-23 01:27:17,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3667212Z [2022-11-23 01:27:17,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3667483Z [2022-11-23 01:27:17,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3667778Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3668123Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3668395Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3668653Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3669030Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731>
2022-11-23T01:32:30.3669280Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3669519Z [2022-11-23 01:27:17,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3669780Z [2022-11-23 01:27:17,835] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3670036Z [2022-11-23 01:27:17,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3670233Z [2022-11-23 01:27:17,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3670443Z  __compiled_fn_232 <eval_with_key>.1436 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3670541Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3670634Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3670820Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3670922Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T01:32:30.3671108Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3671246Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:30.3671349Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T01:32:30.3671355Z 
2022-11-23T01:32:30.3671688Z [2022-11-23 01:27:17,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3671791Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3671893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3671987Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3672086Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3672178Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3672272Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3672348Z              12 RETURN_VALUE
2022-11-23T01:32:30.3672353Z 
2022-11-23T01:32:30.3672422Z  
2022-11-23T01:32:30.3672749Z [2022-11-23 01:27:17,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3672865Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_232)
2022-11-23T01:32:30.3673002Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3673101Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3673184Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3673272Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3673391Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3673473Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3673566Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3673678Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3673788Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3673882Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3673964Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3674064Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3674157Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3674238Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3674335Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.3674416Z              32 RETURN_VALUE
2022-11-23T01:32:30.3674422Z 
2022-11-23T01:32:30.3674489Z  
2022-11-23T01:32:30.3674679Z [2022-11-23 01:27:17,840] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3674752Z  - 
2022-11-23T01:32:30.3674876Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3674946Z             {
2022-11-23T01:32:30.3675091Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3675281Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3675405Z                 'obj_weakref': None
2022-11-23T01:32:30.3675631Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3675695Z             }
2022-11-23T01:32:30.3675763Z             
2022-11-23T01:32:30.3675838Z  - 
2022-11-23T01:32:30.3675967Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3676035Z             {
2022-11-23T01:32:30.3676185Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3676298Z                 'code': None,
2022-11-23T01:32:30.3676500Z                 'obj_weakref': <weakref at 0x7f20682962f0; to 'Tensor' at 0x7f2068028860>
2022-11-23T01:32:30.3676756Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3676826Z             }
2022-11-23T01:32:30.3676896Z             
2022-11-23T01:32:30.3676974Z  - 
2022-11-23T01:32:30.3677102Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3677171Z             {
2022-11-23T01:32:30.3677312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3677425Z                 'code': None,
2022-11-23T01:32:30.3677633Z                 'obj_weakref': <weakref at 0x7f2068294950; to 'Tensor' at 0x7f20601c3c40>
2022-11-23T01:32:30.3677878Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3677952Z             }
2022-11-23T01:32:30.3678022Z             
2022-11-23T01:32:30.3678100Z  - 
2022-11-23T01:32:30.3678230Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3678298Z             {
2022-11-23T01:32:30.3678444Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3678620Z                 'code': ['___check_obj_id(model, 139777163586880)'],
2022-11-23T01:32:30.3678745Z                 'obj_weakref': None
2022-11-23T01:32:30.3678981Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3679051Z             }
2022-11-23T01:32:30.3679114Z             
2022-11-23T01:32:30.3679189Z  - 
2022-11-23T01:32:30.3679316Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3679385Z             {
2022-11-23T01:32:30.3679528Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3679750Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3679908Z                 'obj_weakref': None
2022-11-23T01:32:30.3680130Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3680200Z             }
2022-11-23T01:32:30.3680291Z             
2022-11-23T01:32:30.3680558Z [2022-11-23 01:27:17,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224
2022-11-23T01:32:30.3680928Z [2022-11-23 01:27:19,422] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgaonsqjzurhuspys5prll3gsqbuckzpc65idume63hrl5prgus.py
2022-11-23T01:32:30.3681193Z [2022-11-23 01:27:19,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224
2022-11-23T01:32:30.3681199Z 
2022-11-23T01:32:30.3681299Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3681373Z import torch
2022-11-23T01:32:30.3681442Z import random
2022-11-23T01:32:30.3681563Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3681691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3681696Z 
2022-11-23T01:32:30.3681780Z aten = torch.ops.aten
2022-11-23T01:32:30.3681937Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3682050Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3682056Z 
2022-11-23T01:32:30.3682149Z import triton
2022-11-23T01:32:30.3682236Z import triton.language as tl
2022-11-23T01:32:30.3682364Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3682508Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3682514Z 
2022-11-23T01:32:30.3682518Z 
2022-11-23T01:32:30.3682657Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3682866Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3682992Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3683105Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3683213Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3683310Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3683377Z {
2022-11-23T01:32:30.3683485Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3683552Z     {
2022-11-23T01:32:30.3683634Z         #pragma omp for 
2022-11-23T01:32:30.3683723Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3683791Z         {
2022-11-23T01:32:30.3683871Z             #pragma GCC ivdep
2022-11-23T01:32:30.3683964Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:32:30.3684033Z             {
2022-11-23T01:32:30.3684103Z                 {
2022-11-23T01:32:30.3684176Z                     {
2022-11-23T01:32:30.3684264Z                         float tmp3 = 0;
2022-11-23T01:32:30.3684365Z                         for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:30.3684433Z                         {
2022-11-23T01:32:30.3684508Z                             {
2022-11-23T01:32:30.3684636Z                                 auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)];
2022-11-23T01:32:30.3684758Z                                 auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)];
2022-11-23T01:32:30.3684864Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3684960Z                                 tmp3 += tmp2;
2022-11-23T01:32:30.3685036Z                             }
2022-11-23T01:32:30.3685103Z                         }
2022-11-23T01:32:30.3685208Z                         out_ptr0[i1 + (21*i0)] = tmp3;
2022-11-23T01:32:30.3685282Z                     }
2022-11-23T01:32:30.3685351Z                 }
2022-11-23T01:32:30.3685418Z             }
2022-11-23T01:32:30.3685487Z         }
2022-11-23T01:32:30.3685569Z         #pragma omp for 
2022-11-23T01:32:30.3685652Z         for(long i0=0; i0<216; i0+=1)
2022-11-23T01:32:30.3685720Z         {
2022-11-23T01:32:30.3685788Z             {
2022-11-23T01:32:30.3686019Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3686106Z                 float tmp3 = 0;
2022-11-23T01:32:30.3686236Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3686355Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.3686419Z                 {
2022-11-23T01:32:30.3686573Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (21*i0));
2022-11-23T01:32:30.3686723Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (21*i0));
2022-11-23T01:32:30.3686825Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3686913Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3686984Z                 }
2022-11-23T01:32:30.3687188Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3687317Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3687416Z                 for(long i1=16; i1<21; i1+=1)
2022-11-23T01:32:30.3687481Z                 {
2022-11-23T01:32:30.3687588Z                     auto tmp0 = in_ptr0[i1 + (21*i0)];
2022-11-23T01:32:30.3687699Z                     auto tmp1 = in_ptr1[i1 + (21*i0)];
2022-11-23T01:32:30.3687798Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3687883Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3687954Z                 }
2022-11-23T01:32:30.3688035Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.3688105Z             }
2022-11-23T01:32:30.3688172Z         }
2022-11-23T01:32:30.3688238Z     }
2022-11-23T01:32:30.3688308Z }
2022-11-23T01:32:30.3688397Z ''')
2022-11-23T01:32:30.3688402Z 
2022-11-23T01:32:30.3688407Z 
2022-11-23T01:32:30.3688501Z async_compile.wait(globals())
2022-11-23T01:32:30.3688572Z del async_compile
2022-11-23T01:32:30.3688583Z 
2022-11-23T01:32:30.3688652Z def call(args):
2022-11-23T01:32:30.3688733Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3688811Z     args.clear()
2022-11-23T01:32:30.3689013Z     buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3689217Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3689418Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3689492Z     del arg0_1
2022-11-23T01:32:30.3689558Z     del arg1_1
2022-11-23T01:32:30.3689641Z     return (buf0, buf1, )
2022-11-23T01:32:30.3689647Z 
2022-11-23T01:32:30.3689651Z 
2022-11-23T01:32:30.3689733Z if __name__ == "__main__":
2022-11-23T01:32:30.3689852Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3689982Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3690197Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3690412Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3690533Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3690538Z 
2022-11-23T01:32:30.3690605Z ok (1.598s)
2022-11-23T01:32:30.3690905Z   test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3691221Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3691443Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3691703Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3691983Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3692377Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3692719Z [2022-11-23 01:27:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3693060Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3693422Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737> 
2022-11-23T01:32:30.3693515Z  738           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3693613Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3693693Z               4 BINARY_ADD
2022-11-23T01:32:30.3693789Z               6 STORE_FAST               2 (r1)
2022-11-23T01:32:30.3693797Z 
2022-11-23T01:32:30.3693891Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T01:32:30.3693990Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3694132Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.3694224Z              14 CALL_METHOD              1
2022-11-23T01:32:30.3694314Z              16 STORE_FAST               3 (r2)
2022-11-23T01:32:30.3694318Z 
2022-11-23T01:32:30.3694417Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.3694520Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T01:32:30.3694615Z              22 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3694706Z              24 CALL_METHOD              1
2022-11-23T01:32:30.3694800Z              26 LOAD_CONST               2 (10)
2022-11-23T01:32:30.3694881Z              28 BINARY_ADD
2022-11-23T01:32:30.3694968Z              30 STORE_FAST               4 (r3)
2022-11-23T01:32:30.3694984Z 
2022-11-23T01:32:30.3695073Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T01:32:30.3695164Z              34 LOAD_FAST                3 (r2)
2022-11-23T01:32:30.3695257Z              36 LOAD_FAST                4 (r3)
2022-11-23T01:32:30.3695354Z              38 BUILD_TUPLE              3
2022-11-23T01:32:30.3695437Z              40 RETURN_VALUE
2022-11-23T01:32:30.3695505Z  
2022-11-23T01:32:30.3695510Z 
2022-11-23T01:32:30.3695825Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738
2022-11-23T01:32:30.3696030Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3696268Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.3696540Z [2022-11-23 01:27:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3696785Z [2022-11-23 01:27:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T01:32:30.3697092Z [2022-11-23 01:27:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739
2022-11-23T01:32:30.3697310Z [2022-11-23 01:27:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:30.3697551Z [2022-11-23 01:27:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3697824Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3698138Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3698381Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T01:32:30.3698712Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740
2022-11-23T01:32:30.3699124Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3699535Z [2022-11-23 01:27:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3699856Z [2022-11-23 01:27:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3700203Z [2022-11-23 01:27:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3700444Z [2022-11-23 01:27:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:30.3700726Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3700967Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T01:32:30.3701279Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741
2022-11-23T01:32:30.3701496Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:30.3701732Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T01:32:30.3702025Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3702349Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3702600Z [2022-11-23 01:27:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3702975Z [2022-11-23 01:27:19,433] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737>
2022-11-23T01:32:30.3703230Z [2022-11-23 01:27:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3703467Z [2022-11-23 01:27:19,433] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3703726Z [2022-11-23 01:27:19,434] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3703980Z [2022-11-23 01:27:19,437] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3704175Z [2022-11-23 01:27:19,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3704314Z  __compiled_fn_233 <eval_with_key>.1442 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3704410Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3704507Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3704694Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3704831Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:30.3705070Z call_function, squeeze, <built-in method squeeze of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:30.3705255Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T01:32:30.3705363Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T01:32:30.3705378Z 
2022-11-23T01:32:30.3705698Z [2022-11-23 01:27:19,438] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3705799Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3705933Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3706031Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3706133Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3706247Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3706344Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3706419Z              12 RETURN_VALUE
2022-11-23T01:32:30.3706425Z 
2022-11-23T01:32:30.3706492Z  
2022-11-23T01:32:30.3706821Z [2022-11-23 01:27:19,438] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3706940Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_233)
2022-11-23T01:32:30.3707036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3707134Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3707217Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3707312Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3707403Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3707486Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3707580Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3707698Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3707809Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3707906Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3707987Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3708089Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3708185Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3708265Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3708374Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3708469Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3708551Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3708648Z              36 BUILD_TUPLE              3
2022-11-23T01:32:30.3708723Z              38 RETURN_VALUE
2022-11-23T01:32:30.3708728Z 
2022-11-23T01:32:30.3708795Z  
2022-11-23T01:32:30.3708985Z [2022-11-23 01:27:19,439] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3709066Z  - 
2022-11-23T01:32:30.3709191Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3709261Z             {
2022-11-23T01:32:30.3709409Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3709594Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3709718Z                 'obj_weakref': None
2022-11-23T01:32:30.3709945Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3710017Z             }
2022-11-23T01:32:30.3710085Z             
2022-11-23T01:32:30.3710161Z  - 
2022-11-23T01:32:30.3710359Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3710434Z             {
2022-11-23T01:32:30.3710618Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3710733Z                 'code': None,
2022-11-23T01:32:30.3710945Z                 'obj_weakref': <weakref at 0x7f20728574c0; to 'Tensor' at 0x7f201e238d10>
2022-11-23T01:32:30.3711198Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3711267Z             }
2022-11-23T01:32:30.3711335Z             
2022-11-23T01:32:30.3711404Z  - 
2022-11-23T01:32:30.3711531Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3711615Z             {
2022-11-23T01:32:30.3711784Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3711907Z                 'code': None,
2022-11-23T01:32:30.3712118Z                 'obj_weakref': <weakref at 0x7f2022ee83b0; to 'Tensor' at 0x7f20232295d0>
2022-11-23T01:32:30.3712363Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3712427Z             }
2022-11-23T01:32:30.3712536Z             
2022-11-23T01:32:30.3712615Z  - 
2022-11-23T01:32:30.3712752Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3712822Z             {
2022-11-23T01:32:30.3712988Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3713167Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3713285Z                 'obj_weakref': None
2022-11-23T01:32:30.3713514Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3713582Z             }
2022-11-23T01:32:30.3713650Z             
2022-11-23T01:32:30.3713729Z  - 
2022-11-23T01:32:30.3713855Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3713924Z             {
2022-11-23T01:32:30.3714056Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3714271Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3714398Z                 'obj_weakref': None
2022-11-23T01:32:30.3714623Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3714694Z             }
2022-11-23T01:32:30.3714765Z             
2022-11-23T01:32:30.3714840Z  - 
2022-11-23T01:32:30.3714971Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3715041Z             {
2022-11-23T01:32:30.3715164Z                 'guard_types': None,
2022-11-23T01:32:30.3715275Z                 'code': None,
2022-11-23T01:32:30.3715396Z                 'obj_weakref': None
2022-11-23T01:32:30.3715521Z                 'guarded_class': None
2022-11-23T01:32:30.3715589Z             }
2022-11-23T01:32:30.3715650Z             
2022-11-23T01:32:30.3715913Z [2022-11-23 01:27:19,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225
2022-11-23T01:32:30.3716281Z [2022-11-23 01:27:21,014] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jt/cjtetfpvoai5ugnq3eyudza3fjswjdchw2bsq4uv6umvl2gmr4l7.py
2022-11-23T01:32:30.3716546Z [2022-11-23 01:27:21,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225
2022-11-23T01:32:30.3716552Z 
2022-11-23T01:32:30.3716655Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3716731Z import torch
2022-11-23T01:32:30.3716806Z import random
2022-11-23T01:32:30.3716928Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3717048Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3717053Z 
2022-11-23T01:32:30.3717136Z aten = torch.ops.aten
2022-11-23T01:32:30.3717278Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3717376Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3717381Z 
2022-11-23T01:32:30.3717456Z import triton
2022-11-23T01:32:30.3717549Z import triton.language as tl
2022-11-23T01:32:30.3717676Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3717814Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3717826Z 
2022-11-23T01:32:30.3717831Z 
2022-11-23T01:32:30.3717963Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3718177Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3718308Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3718419Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3718527Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3718632Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3718735Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.3718794Z {
2022-11-23T01:32:30.3718898Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3718965Z     {
2022-11-23T01:32:30.3719049Z         #pragma omp for 
2022-11-23T01:32:30.3719139Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:30.3719209Z         {
2022-11-23T01:32:30.3719326Z             {
2022-11-23T01:32:30.3719516Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3719605Z                 float tmp3 = 0;
2022-11-23T01:32:30.3719757Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3719855Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3719925Z                 {
2022-11-23T01:32:30.3720083Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:30.3720226Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:30.3720326Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3720433Z                     tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:30.3720525Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3720596Z                 }
2022-11-23T01:32:30.3720805Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3720933Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3721032Z                 for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:30.3721106Z                 {
2022-11-23T01:32:30.3721217Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:30.3721307Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:30.3721402Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3721500Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:30.3721585Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3721662Z                 }
2022-11-23T01:32:30.3721768Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.3721841Z             }
2022-11-23T01:32:30.3721918Z         }
2022-11-23T01:32:30.3722005Z         #pragma omp for 
2022-11-23T01:32:30.3722094Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.3722165Z         {
2022-11-23T01:32:30.3722304Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.3722445Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:30.3722538Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3722628Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.3722696Z         }
2022-11-23T01:32:30.3722798Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3722885Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:30.3722953Z         {
2022-11-23T01:32:30.3723042Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.3723149Z             auto tmp1 = static_cast<float>(10);
2022-11-23T01:32:30.3723232Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3723322Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:30.3723390Z         }
2022-11-23T01:32:30.3723455Z     }
2022-11-23T01:32:30.3723523Z }
2022-11-23T01:32:30.3723612Z ''')
2022-11-23T01:32:30.3723618Z 
2022-11-23T01:32:30.3723626Z 
2022-11-23T01:32:30.3723720Z async_compile.wait(globals())
2022-11-23T01:32:30.3723791Z del async_compile
2022-11-23T01:32:30.3723796Z 
2022-11-23T01:32:30.3723871Z def call(args):
2022-11-23T01:32:30.3723955Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3724031Z     args.clear()
2022-11-23T01:32:30.3724236Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3724431Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3724628Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3724841Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.3724915Z     del arg0_1
2022-11-23T01:32:30.3724988Z     del arg1_1
2022-11-23T01:32:30.3725077Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.3725082Z 
2022-11-23T01:32:30.3725087Z 
2022-11-23T01:32:30.3725237Z if __name__ == "__main__":
2022-11-23T01:32:30.3725362Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3725495Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3725720Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3725913Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3726035Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3726040Z 
2022-11-23T01:32:30.3726114Z ok (1.592s)
2022-11-23T01:32:30.3726411Z   test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3726724Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3726949Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3727205Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3727489Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3727803Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3728143Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3728452Z [2022-11-23 01:27:21,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3728816Z [2022-11-23 01:27:21,020] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749> 
2022-11-23T01:32:30.3728917Z  750           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3729015Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3729099Z               4 BINARY_ADD
2022-11-23T01:32:30.3729196Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:30.3729200Z 
2022-11-23T01:32:30.3729295Z 751           8 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3729397Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3729528Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3729623Z              14 CALL_METHOD              1
2022-11-23T01:32:30.3729719Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:30.3729724Z 
2022-11-23T01:32:30.3729817Z 752          18 LOAD_FAST                2 (c)
2022-11-23T01:32:30.3729911Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:30.3729990Z              22 BINARY_ADD
2022-11-23T01:32:30.3730086Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:30.3730092Z 
2022-11-23T01:32:30.3730184Z 753          26 LOAD_FAST                3 (d)
2022-11-23T01:32:30.3730279Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3730418Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3730511Z              32 CALL_METHOD              1
2022-11-23T01:32:30.3730606Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:30.3730611Z 
2022-11-23T01:32:30.3730703Z 754          36 LOAD_FAST                4 (e)
2022-11-23T01:32:30.3730796Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:30.3730876Z              40 BINARY_ADD
2022-11-23T01:32:30.3730962Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:30.3730975Z 
2022-11-23T01:32:30.3731059Z 755          44 LOAD_FAST                5 (f)
2022-11-23T01:32:30.3731153Z              46 LOAD_FAST                4 (e)
2022-11-23T01:32:30.3731276Z              48 LOAD_FAST                3 (d)
2022-11-23T01:32:30.3731370Z              50 LOAD_FAST                2 (c)
2022-11-23T01:32:30.3731463Z              52 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3731586Z              54 BUILD_TUPLE              5
2022-11-23T01:32:30.3731689Z              56 RETURN_VALUE
2022-11-23T01:32:30.3731753Z  
2022-11-23T01:32:30.3731758Z 
2022-11-23T01:32:30.3732097Z [2022-11-23 01:27:21,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750
2022-11-23T01:32:30.3732314Z [2022-11-23 01:27:21,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3732559Z [2022-11-23 01:27:21,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.3732845Z [2022-11-23 01:27:21,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3733086Z [2022-11-23 01:27:21,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:30.3733404Z [2022-11-23 01:27:21,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751
2022-11-23T01:32:30.3733622Z [2022-11-23 01:27:21,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:30.3733868Z [2022-11-23 01:27:21,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3734139Z [2022-11-23 01:27:21,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3734452Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3734695Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:30.3735011Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752
2022-11-23T01:32:30.3735225Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:30.3735470Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:30.3735752Z [2022-11-23 01:27:21,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3735989Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:30.3736299Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753
2022-11-23T01:32:30.3736512Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:30.3736750Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3737025Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3737338Z [2022-11-23 01:27:21,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3737580Z [2022-11-23 01:27:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:30.3737893Z [2022-11-23 01:27:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754
2022-11-23T01:32:30.3738103Z [2022-11-23 01:27:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:30.3738343Z [2022-11-23 01:27:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:30.3738652Z [2022-11-23 01:27:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3739178Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:30.3739532Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755
2022-11-23T01:32:30.3739744Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:30.3739985Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T01:32:30.3740253Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3740550Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3740871Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3741221Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3741473Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3741845Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749>
2022-11-23T01:32:30.3742093Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3742323Z [2022-11-23 01:27:21,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3742587Z [2022-11-23 01:27:21,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3742839Z [2022-11-23 01:27:21,030] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3743038Z [2022-11-23 01:27:21,030] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3743178Z  __compiled_fn_234 <eval_with_key>.1448 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3743274Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3743452Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3743588Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:30.3743762Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:30.3743902Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:30.3744080Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:30.3744210Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T01:32:30.3744218Z 
2022-11-23T01:32:30.3744548Z [2022-11-23 01:27:21,031] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3744654Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3744752Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3744846Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3744940Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3745035Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3745130Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3745213Z              12 RETURN_VALUE
2022-11-23T01:32:30.3745218Z 
2022-11-23T01:32:30.3745286Z  
2022-11-23T01:32:30.3745613Z [2022-11-23 01:27:21,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3745772Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_234)
2022-11-23T01:32:30.3745872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3745963Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3746069Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3746164Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3746276Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3746384Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3746480Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3746562Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3746661Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3746756Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3746837Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3746944Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3747038Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.3747120Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.3747228Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3747316Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.3747401Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.3747506Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3747601Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.3747682Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.3747776Z              42 BUILD_TUPLE              5
2022-11-23T01:32:30.3747856Z              44 RETURN_VALUE
2022-11-23T01:32:30.3747862Z 
2022-11-23T01:32:30.3747927Z  
2022-11-23T01:32:30.3748111Z [2022-11-23 01:27:21,032] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3748187Z  - 
2022-11-23T01:32:30.3748313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3748383Z             {
2022-11-23T01:32:30.3748531Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3748725Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3748849Z                 'obj_weakref': None
2022-11-23T01:32:30.3749071Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3749145Z             }
2022-11-23T01:32:30.3749212Z             
2022-11-23T01:32:30.3749288Z  - 
2022-11-23T01:32:30.3749418Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3749488Z             {
2022-11-23T01:32:30.3749629Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3749743Z                 'code': None,
2022-11-23T01:32:30.3749958Z                 'obj_weakref': <weakref at 0x7f201e28bd80; to 'Tensor' at 0x7f2068175030>
2022-11-23T01:32:30.3750209Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3750351Z             }
2022-11-23T01:32:30.3750433Z             
2022-11-23T01:32:30.3750528Z  - 
2022-11-23T01:32:30.3750684Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3750759Z             {
2022-11-23T01:32:30.3750919Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3751384Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3751508Z                 'obj_weakref': None
2022-11-23T01:32:30.3751738Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3751807Z             }
2022-11-23T01:32:30.3751876Z             
2022-11-23T01:32:30.3751945Z  - 
2022-11-23T01:32:30.3752072Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3752140Z             {
2022-11-23T01:32:30.3752281Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3752501Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3752626Z                 'obj_weakref': None
2022-11-23T01:32:30.3752890Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3752954Z             }
2022-11-23T01:32:30.3753022Z             
2022-11-23T01:32:30.3753317Z [2022-11-23 01:27:21,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226
2022-11-23T01:32:30.3753688Z [2022-11-23 01:27:22,648] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ze/czevlvi2brtwcmn6txlsyzaeoxe3awvo7q4hy7hp2ezlpxmj3hn2.py
2022-11-23T01:32:30.3753957Z [2022-11-23 01:27:22,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226
2022-11-23T01:32:30.3753963Z 
2022-11-23T01:32:30.3754064Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3754138Z import torch
2022-11-23T01:32:30.3754214Z import random
2022-11-23T01:32:30.3754329Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3754455Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3754460Z 
2022-11-23T01:32:30.3754546Z aten = torch.ops.aten
2022-11-23T01:32:30.3754685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3754782Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3754791Z 
2022-11-23T01:32:30.3754866Z import triton
2022-11-23T01:32:30.3754960Z import triton.language as tl
2022-11-23T01:32:30.3755080Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3755224Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3755230Z 
2022-11-23T01:32:30.3755235Z 
2022-11-23T01:32:30.3755373Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3755581Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3755709Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3755816Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3755920Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.3756026Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.3756122Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.3756225Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:30.3756295Z {
2022-11-23T01:32:30.3756401Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3756469Z     {
2022-11-23T01:32:30.3756553Z         #pragma omp for 
2022-11-23T01:32:30.3756644Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:30.3756706Z         {
2022-11-23T01:32:30.3756851Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3756992Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3757083Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3757181Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3757249Z         }
2022-11-23T01:32:30.3757350Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3757438Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:30.3757507Z         {
2022-11-23T01:32:30.3757598Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3757702Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.3757795Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3757882Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.3757950Z         }
2022-11-23T01:32:30.3758025Z         #pragma omp for 
2022-11-23T01:32:30.3758115Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:30.3758183Z         {
2022-11-23T01:32:30.3758252Z             {
2022-11-23T01:32:30.3758448Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3758533Z                 float tmp1 = 0;
2022-11-23T01:32:30.3758663Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3758760Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3758824Z                 {
2022-11-23T01:32:30.3759004Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3759095Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.3759168Z                 }
2022-11-23T01:32:30.3759393Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.3759522Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.3759619Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3759683Z                 {
2022-11-23T01:32:30.3759791Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3759876Z                     tmp1 += tmp0;
2022-11-23T01:32:30.3759946Z                 }
2022-11-23T01:32:30.3760034Z                 out_ptr1[i0] = tmp1;
2022-11-23T01:32:30.3760103Z             }
2022-11-23T01:32:30.3760173Z         }
2022-11-23T01:32:30.3760249Z         #pragma omp for 
2022-11-23T01:32:30.3760342Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.3760411Z         {
2022-11-23T01:32:30.3760553Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.3760699Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:30.3760791Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3760887Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.3760949Z         }
2022-11-23T01:32:30.3761049Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3761139Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:30.3761207Z         {
2022-11-23T01:32:30.3761298Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.3761402Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:30.3761492Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3761593Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:30.3761664Z         }
2022-11-23T01:32:30.3761762Z         #pragma omp for 
2022-11-23T01:32:30.3761860Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.3761926Z         {
2022-11-23T01:32:30.3761996Z             {
2022-11-23T01:32:30.3762188Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3762269Z                 float tmp1 = 0;
2022-11-23T01:32:30.3762400Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.3762494Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3762565Z                 {
2022-11-23T01:32:30.3762714Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3762801Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.3762872Z                 }
2022-11-23T01:32:30.3763074Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.3763197Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.3763292Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3763361Z                 {
2022-11-23T01:32:30.3763467Z                     auto tmp0 = out_ptr2[i1 + (8*i0)];
2022-11-23T01:32:30.3763555Z                     tmp1 += tmp0;
2022-11-23T01:32:30.3763623Z                 }
2022-11-23T01:32:30.3763711Z                 out_ptr3[i0] = tmp1;
2022-11-23T01:32:30.3763773Z             }
2022-11-23T01:32:30.3763842Z         }
2022-11-23T01:32:30.3763923Z         #pragma omp for 
2022-11-23T01:32:30.3764011Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.3764078Z         {
2022-11-23T01:32:30.3764219Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i0);
2022-11-23T01:32:30.3764360Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:30.3764450Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3764540Z             tmp2.store(out_ptr4 + 8*i0);
2022-11-23T01:32:30.3764646Z         }
2022-11-23T01:32:30.3764750Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3764838Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.3764906Z         {
2022-11-23T01:32:30.3765019Z             auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:30.3765116Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:30.3765206Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3765292Z             out_ptr4[i0] = tmp2;
2022-11-23T01:32:30.3765359Z         }
2022-11-23T01:32:30.3765426Z     }
2022-11-23T01:32:30.3765491Z }
2022-11-23T01:32:30.3765581Z ''')
2022-11-23T01:32:30.3765587Z 
2022-11-23T01:32:30.3765592Z 
2022-11-23T01:32:30.3765679Z async_compile.wait(globals())
2022-11-23T01:32:30.3765757Z del async_compile
2022-11-23T01:32:30.3765762Z 
2022-11-23T01:32:30.3765838Z def call(args):
2022-11-23T01:32:30.3765913Z     arg0_1, = args
2022-11-23T01:32:30.3765989Z     args.clear()
2022-11-23T01:32:30.3766209Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3766414Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3766615Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3766807Z     buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3767002Z     buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3767245Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:30.3767321Z     del arg0_1
2022-11-23T01:32:30.3767423Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T01:32:30.3767428Z 
2022-11-23T01:32:30.3767433Z 
2022-11-23T01:32:30.3767515Z if __name__ == "__main__":
2022-11-23T01:32:30.3767635Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3767765Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3767977Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3768095Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3768100Z 
2022-11-23T01:32:30.3768172Z ok (1.634s)
2022-11-23T01:32:30.3768468Z   test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3768783Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3769003Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3769258Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3769536Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3769851Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3770194Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3770512Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3770882Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760> 
2022-11-23T01:32:30.3770983Z  761           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3771083Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3771201Z               4 BINARY_ADD
2022-11-23T01:32:30.3771299Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:30.3771304Z 
2022-11-23T01:32:30.3771400Z 762           8 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3771531Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3771682Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3771799Z              14 CALL_METHOD              1
2022-11-23T01:32:30.3771899Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:30.3771904Z 
2022-11-23T01:32:30.3771998Z 763          18 LOAD_FAST                2 (c)
2022-11-23T01:32:30.3772090Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:30.3772170Z              22 BINARY_ADD
2022-11-23T01:32:30.3772263Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:30.3772268Z 
2022-11-23T01:32:30.3772361Z 764          26 LOAD_FAST                3 (d)
2022-11-23T01:32:30.3772455Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3772595Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3772687Z              32 CALL_METHOD              1
2022-11-23T01:32:30.3772784Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:30.3772793Z 
2022-11-23T01:32:30.3772888Z 765          36 LOAD_FAST                4 (e)
2022-11-23T01:32:30.3772981Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:30.3773059Z              40 BINARY_ADD
2022-11-23T01:32:30.3773144Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:30.3773157Z 
2022-11-23T01:32:30.3773241Z 766          44 LOAD_FAST                5 (f)
2022-11-23T01:32:30.3773335Z              46 BUILD_TUPLE              1
2022-11-23T01:32:30.3773417Z              48 RETURN_VALUE
2022-11-23T01:32:30.3773483Z  
2022-11-23T01:32:30.3773488Z 
2022-11-23T01:32:30.3773804Z [2022-11-23 01:27:22,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761
2022-11-23T01:32:30.3774026Z [2022-11-23 01:27:22,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.3774269Z [2022-11-23 01:27:22,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.3774558Z [2022-11-23 01:27:22,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3774794Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:30.3775110Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762
2022-11-23T01:32:30.3775327Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:30.3775572Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3775852Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3776168Z [2022-11-23 01:27:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3776411Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:30.3776725Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763
2022-11-23T01:32:30.3776936Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:30.3777168Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:30.3777453Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3777717Z [2022-11-23 01:27:22,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:30.3778032Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764
2022-11-23T01:32:30.3778267Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:30.3778510Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:30.3779008Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3779327Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3779567Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:30.3779887Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765
2022-11-23T01:32:30.3780093Z [2022-11-23 01:27:22,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:30.3780341Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:30.3780623Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3780859Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:30.3781173Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766
2022-11-23T01:32:30.3781387Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:30.3781629Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.3781881Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3782259Z [2022-11-23 01:27:22,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760>
2022-11-23T01:32:30.3782509Z [2022-11-23 01:27:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3782739Z [2022-11-23 01:27:22,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3782997Z [2022-11-23 01:27:22,661] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3783255Z [2022-11-23 01:27:22,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3783448Z [2022-11-23 01:27:22,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3783589Z  __compiled_fn_235 <eval_with_key>.1454 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3783687Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3783863Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3784000Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:30.3784174Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:30.3784314Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:30.3784491Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:30.3784593Z output, output, output, ((add_2,),), {}
2022-11-23T01:32:30.3784598Z 
2022-11-23T01:32:30.3784924Z [2022-11-23 01:27:22,665] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3785072Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3785173Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3785266Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3785358Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3785478Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3785577Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3785659Z              12 RETURN_VALUE
2022-11-23T01:32:30.3785665Z 
2022-11-23T01:32:30.3785730Z  
2022-11-23T01:32:30.3786055Z [2022-11-23 01:27:22,665] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3786170Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_235)
2022-11-23T01:32:30.3786260Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3786357Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3786442Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3786539Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3786651Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3786763Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3786863Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3786945Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3787032Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.3787114Z              20 RETURN_VALUE
2022-11-23T01:32:30.3787119Z 
2022-11-23T01:32:30.3787184Z  
2022-11-23T01:32:30.3787374Z [2022-11-23 01:27:22,665] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3787450Z  - 
2022-11-23T01:32:30.3787575Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3787645Z             {
2022-11-23T01:32:30.3787786Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3787979Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3788106Z                 'obj_weakref': None
2022-11-23T01:32:30.3788337Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3788408Z             }
2022-11-23T01:32:30.3788481Z             
2022-11-23T01:32:30.3788557Z  - 
2022-11-23T01:32:30.3788680Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3788749Z             {
2022-11-23T01:32:30.3788898Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3789014Z                 'code': None,
2022-11-23T01:32:30.3789232Z                 'obj_weakref': <weakref at 0x7f20606ba2f0; to 'Tensor' at 0x7f206819cc70>
2022-11-23T01:32:30.3789486Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3789555Z             }
2022-11-23T01:32:30.3789617Z             
2022-11-23T01:32:30.3789694Z  - 
2022-11-23T01:32:30.3789830Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3789899Z             {
2022-11-23T01:32:30.3790043Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3790219Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3790420Z                 'obj_weakref': None
2022-11-23T01:32:30.3790677Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3790762Z             }
2022-11-23T01:32:30.3790836Z             
2022-11-23T01:32:30.3790913Z  - 
2022-11-23T01:32:30.3791041Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3791110Z             {
2022-11-23T01:32:30.3791253Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3791470Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3791593Z                 'obj_weakref': None
2022-11-23T01:32:30.3791819Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3791887Z             }
2022-11-23T01:32:30.3791994Z             
2022-11-23T01:32:30.3792260Z [2022-11-23 01:27:22,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227
2022-11-23T01:32:30.3792659Z [2022-11-23 01:27:24,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mf/cmfurd2dhlkx5yce6vfzeywlbsdngxyevqit74l3iutprgbn6jk3.py
2022-11-23T01:32:30.3792930Z [2022-11-23 01:27:24,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227
2022-11-23T01:32:30.3792936Z 
2022-11-23T01:32:30.3793029Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3793105Z import torch
2022-11-23T01:32:30.3793180Z import random
2022-11-23T01:32:30.3793303Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3793431Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3793436Z 
2022-11-23T01:32:30.3793520Z aten = torch.ops.aten
2022-11-23T01:32:30.3793666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3793758Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3793769Z 
2022-11-23T01:32:30.3793838Z import triton
2022-11-23T01:32:30.3793931Z import triton.language as tl
2022-11-23T01:32:30.3794060Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3794201Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3794207Z 
2022-11-23T01:32:30.3794211Z 
2022-11-23T01:32:30.3794349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3794558Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3794681Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3794788Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3794895Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3794962Z {
2022-11-23T01:32:30.3795056Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:30.3795161Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3795228Z     {
2022-11-23T01:32:30.3795309Z         #pragma omp for 
2022-11-23T01:32:30.3795393Z         for(long i0=0; i0<136; i0+=1)
2022-11-23T01:32:30.3795461Z         {
2022-11-23T01:32:30.3795534Z             {
2022-11-23T01:32:30.3795728Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3795814Z                 float tmp3 = 0;
2022-11-23T01:32:30.3795942Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3796042Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3796114Z                 {
2022-11-23T01:32:30.3796259Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (9*i0));
2022-11-23T01:32:30.3796406Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3796504Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3796597Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3796671Z                 }
2022-11-23T01:32:30.3796875Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3797006Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3797103Z                 for(long i1=8; i1<9; i1+=1)
2022-11-23T01:32:30.3797167Z                 {
2022-11-23T01:32:30.3797272Z                     auto tmp0 = in_ptr0[i1 + (9*i0)];
2022-11-23T01:32:30.3797381Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.3797479Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3797565Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3797635Z                 }
2022-11-23T01:32:30.3797725Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.3797787Z             }
2022-11-23T01:32:30.3797854Z         }
2022-11-23T01:32:30.3797937Z         #pragma omp for 
2022-11-23T01:32:30.3798057Z         for(long i0=0; i0<17; i0+=1)
2022-11-23T01:32:30.3798127Z         {
2022-11-23T01:32:30.3798195Z             {
2022-11-23T01:32:30.3798394Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3798495Z                 float tmp3 = 0;
2022-11-23T01:32:30.3798626Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3798722Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3798792Z                 {
2022-11-23T01:32:30.3798942Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3799087Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:30.3799184Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3799272Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3799336Z                 }
2022-11-23T01:32:30.3799539Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3799664Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3799764Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3799834Z                 {
2022-11-23T01:32:30.3799940Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3800049Z                     auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:30.3800140Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3800227Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3800296Z                 }
2022-11-23T01:32:30.3800387Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:32:30.3800455Z             }
2022-11-23T01:32:30.3800523Z         }
2022-11-23T01:32:30.3800605Z         #pragma omp for 
2022-11-23T01:32:30.3800686Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.3800753Z         {
2022-11-23T01:32:30.3800898Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.3801038Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:30.3801131Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3801232Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.3801300Z         }
2022-11-23T01:32:30.3801394Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3801481Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:32:30.3801560Z         {
2022-11-23T01:32:30.3801665Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.3801785Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:30.3801882Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3801970Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.3802031Z         }
2022-11-23T01:32:30.3802097Z     }
2022-11-23T01:32:30.3802162Z }
2022-11-23T01:32:30.3802252Z ''')
2022-11-23T01:32:30.3802257Z 
2022-11-23T01:32:30.3802262Z 
2022-11-23T01:32:30.3802358Z async_compile.wait(globals())
2022-11-23T01:32:30.3802437Z del async_compile
2022-11-23T01:32:30.3802443Z 
2022-11-23T01:32:30.3802519Z def call(args):
2022-11-23T01:32:30.3802590Z     arg0_1, = args
2022-11-23T01:32:30.3802666Z     args.clear()
2022-11-23T01:32:30.3802879Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3803084Z     buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3803175Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:30.3803347Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3803421Z     del arg0_1
2022-11-23T01:32:30.3803497Z     return (buf2, )
2022-11-23T01:32:30.3803502Z 
2022-11-23T01:32:30.3803507Z 
2022-11-23T01:32:30.3803581Z if __name__ == "__main__":
2022-11-23T01:32:30.3803703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3803863Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3804088Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3804203Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3804229Z 
2022-11-23T01:32:30.3804306Z ok (1.604s)
2022-11-23T01:32:30.3804622Z   test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3804940Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3805157Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3805419Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3805703Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3806025Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3806380Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3806702Z [2022-11-23 01:27:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3807072Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866> 
2022-11-23T01:32:30.3807170Z  867           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3807268Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3807371Z               4 LOAD_ATTR                0 (sum)
2022-11-23T01:32:30.3807505Z               6 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.3807605Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.3807707Z              10 LOAD_ATTR                2 (double)
2022-11-23T01:32:30.3807858Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:30.3807955Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.3808041Z              16 BINARY_MULTIPLY
2022-11-23T01:32:30.3808137Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3808228Z              20 LOAD_ATTR                0 (sum)
2022-11-23T01:32:30.3808328Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:30.3808424Z              24 LOAD_ATTR                2 (double)
2022-11-23T01:32:30.3808579Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:30.3808676Z              28 CALL_FUNCTION_KW         1
2022-11-23T01:32:30.3808757Z              30 BINARY_ADD
2022-11-23T01:32:30.3808839Z              32 RETURN_VALUE
2022-11-23T01:32:30.3808900Z  
2022-11-23T01:32:30.3808905Z 
2022-11-23T01:32:30.3809221Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867
2022-11-23T01:32:30.3809439Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.3809681Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3809956Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3810262Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3810649Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3811143Z [2022-11-23 01:27:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3811555Z [2022-11-23 01:27:24,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.3812033Z [2022-11-23 01:27:24,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:30.3812321Z [2022-11-23 01:27:24,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3812556Z [2022-11-23 01:27:24,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3812830Z [2022-11-23 01:27:24,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3813147Z [2022-11-23 01:27:24,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3813600Z [2022-11-23 01:27:24,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3813953Z [2022-11-23 01:27:24,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T01:32:30.3814346Z [2022-11-23 01:27:24,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:30.3814620Z [2022-11-23 01:27:24,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3814878Z [2022-11-23 01:27:24,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3815252Z [2022-11-23 01:27:24,264] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866>
2022-11-23T01:32:30.3815505Z [2022-11-23 01:27:24,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3815744Z [2022-11-23 01:27:24,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3816008Z [2022-11-23 01:27:24,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3816255Z [2022-11-23 01:27:24,268] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3816451Z [2022-11-23 01:27:24,268] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3816595Z  __compiled_fn_236 <eval_with_key>.1460 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3816694Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3816877Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T01:32:30.3817061Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T01:32:30.3817239Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T01:32:30.3817421Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:30.3817516Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.3817521Z 
2022-11-23T01:32:30.3817881Z [2022-11-23 01:27:24,269] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3817984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3818082Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3818201Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3818305Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3818396Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3818484Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3818565Z              12 RETURN_VALUE
2022-11-23T01:32:30.3818570Z 
2022-11-23T01:32:30.3818636Z  
2022-11-23T01:32:30.3819167Z [2022-11-23 01:27:24,269] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3819286Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_236)
2022-11-23T01:32:30.3819382Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3819483Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3819566Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3819656Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3819753Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3819838Z              12 RETURN_VALUE
2022-11-23T01:32:30.3819843Z 
2022-11-23T01:32:30.3819909Z  
2022-11-23T01:32:30.3820101Z [2022-11-23 01:27:24,269] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3820177Z  - 
2022-11-23T01:32:30.3820303Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3820365Z             {
2022-11-23T01:32:30.3820510Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3820704Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3820829Z                 'obj_weakref': None
2022-11-23T01:32:30.3821057Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3821126Z             }
2022-11-23T01:32:30.3821196Z             
2022-11-23T01:32:30.3821265Z  - 
2022-11-23T01:32:30.3821396Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3821465Z             {
2022-11-23T01:32:30.3821618Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3821732Z                 'code': None,
2022-11-23T01:32:30.3821941Z                 'obj_weakref': <weakref at 0x7f2023143650; to 'Tensor' at 0x7f2023140b80>
2022-11-23T01:32:30.3822191Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3822253Z             }
2022-11-23T01:32:30.3822324Z             
2022-11-23T01:32:30.3822399Z  - 
2022-11-23T01:32:30.3822535Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3822603Z             {
2022-11-23T01:32:30.3822744Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3822919Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3823039Z                 'obj_weakref': None
2022-11-23T01:32:30.3823271Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3823340Z             }
2022-11-23T01:32:30.3823411Z             
2022-11-23T01:32:30.3823488Z  - 
2022-11-23T01:32:30.3823616Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3823687Z             {
2022-11-23T01:32:30.3823822Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3824046Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3824172Z                 'obj_weakref': None
2022-11-23T01:32:30.3824394Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3824464Z             }
2022-11-23T01:32:30.3824534Z             
2022-11-23T01:32:30.3824610Z  - 
2022-11-23T01:32:30.3824741Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3824811Z             {
2022-11-23T01:32:30.3824985Z                 'guard_types': None,
2022-11-23T01:32:30.3825101Z                 'code': None,
2022-11-23T01:32:30.3825225Z                 'obj_weakref': None
2022-11-23T01:32:30.3825429Z                 'guarded_class': None
2022-11-23T01:32:30.3825498Z             }
2022-11-23T01:32:30.3825560Z             
2022-11-23T01:32:30.3825636Z  - 
2022-11-23T01:32:30.3825791Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T01:32:30.3825860Z             {
2022-11-23T01:32:30.3826011Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.3826191Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T01:32:30.3826315Z                 'obj_weakref': None
2022-11-23T01:32:30.3826532Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.3826605Z             }
2022-11-23T01:32:30.3826672Z             
2022-11-23T01:32:30.3826941Z [2022-11-23 01:27:24,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228
2022-11-23T01:32:30.3827308Z [2022-11-23 01:27:25,837] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sd/csdtm62fecyh42pfdbwzsncxzt5s4mcqpol5hcuy5zw237ljecex.py
2022-11-23T01:32:30.3827579Z [2022-11-23 01:27:25,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228
2022-11-23T01:32:30.3827585Z 
2022-11-23T01:32:30.3827685Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3827759Z import torch
2022-11-23T01:32:30.3827827Z import random
2022-11-23T01:32:30.3827949Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3828080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3828085Z 
2022-11-23T01:32:30.3828167Z aten = torch.ops.aten
2022-11-23T01:32:30.3828306Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3828403Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3828408Z 
2022-11-23T01:32:30.3828485Z import triton
2022-11-23T01:32:30.3828571Z import triton.language as tl
2022-11-23T01:32:30.3828699Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3828841Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3828851Z 
2022-11-23T01:32:30.3828856Z 
2022-11-23T01:32:30.3828994Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3829202Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3829332Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3829440Z                        double* __restrict__ out_ptr0,
2022-11-23T01:32:30.3829544Z                        double* __restrict__ out_ptr1,
2022-11-23T01:32:30.3829639Z                        double* __restrict__ out_ptr2)
2022-11-23T01:32:30.3829707Z {
2022-11-23T01:32:30.3829811Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3829878Z     {
2022-11-23T01:32:30.3829964Z         #pragma omp for 
2022-11-23T01:32:30.3830056Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3830124Z         {
2022-11-23T01:32:30.3830186Z             {
2022-11-23T01:32:30.3830322Z                 {
2022-11-23T01:32:30.3830429Z                     double tmp2 = 0;
2022-11-23T01:32:30.3830541Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:30.3830627Z                     {
2022-11-23T01:32:30.3830712Z                         {
2022-11-23T01:32:30.3830825Z                             auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.3830940Z                             auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:30.3831030Z                             tmp2 += tmp1;
2022-11-23T01:32:30.3831103Z                         }
2022-11-23T01:32:30.3831174Z                     }
2022-11-23T01:32:30.3831264Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.3831333Z                 }
2022-11-23T01:32:30.3831401Z             }
2022-11-23T01:32:30.3831463Z         }
2022-11-23T01:32:30.3831561Z     }
2022-11-23T01:32:30.3831629Z     {
2022-11-23T01:32:30.3831699Z         {
2022-11-23T01:32:30.3831782Z             double tmp2 = 0;
2022-11-23T01:32:30.3831893Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3831976Z             {
2022-11-23T01:32:30.3832088Z                 #pragma omp for reduction(+:tmp2) 
2022-11-23T01:32:30.3832184Z                 for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:30.3832254Z                 {
2022-11-23T01:32:30.3832325Z                     {
2022-11-23T01:32:30.3832426Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3832542Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:30.3832622Z                         tmp2 += tmp1;
2022-11-23T01:32:30.3832693Z                     }
2022-11-23T01:32:30.3832762Z                 }
2022-11-23T01:32:30.3832830Z             }
2022-11-23T01:32:30.3832915Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:30.3832985Z         }
2022-11-23T01:32:30.3833054Z     }
2022-11-23T01:32:30.3833150Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3833217Z     {
2022-11-23T01:32:30.3833300Z         #pragma omp for 
2022-11-23T01:32:30.3833387Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3833458Z         {
2022-11-23T01:32:30.3833546Z             #pragma GCC ivdep
2022-11-23T01:32:30.3833630Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:30.3833698Z             {
2022-11-23T01:32:30.3833770Z                 {
2022-11-23T01:32:30.3833843Z                     {
2022-11-23T01:32:30.3833953Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:30.3834058Z                         auto tmp2 = out_ptr0[i1];
2022-11-23T01:32:30.3834158Z                         auto tmp4 = out_ptr1[0];
2022-11-23T01:32:30.3834269Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:30.3834369Z                         auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:30.3834468Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.3834572Z                         out_ptr2[i1 + (32*i0)] = tmp5;
2022-11-23T01:32:30.3834642Z                     }
2022-11-23T01:32:30.3834715Z                 }
2022-11-23T01:32:30.3834786Z             }
2022-11-23T01:32:30.3834847Z         }
2022-11-23T01:32:30.3834915Z     }
2022-11-23T01:32:30.3834982Z }
2022-11-23T01:32:30.3835071Z ''')
2022-11-23T01:32:30.3835076Z 
2022-11-23T01:32:30.3835081Z 
2022-11-23T01:32:30.3835176Z async_compile.wait(globals())
2022-11-23T01:32:30.3835253Z del async_compile
2022-11-23T01:32:30.3835258Z 
2022-11-23T01:32:30.3835334Z def call(args):
2022-11-23T01:32:30.3835409Z     arg0_1, = args
2022-11-23T01:32:30.3835479Z     args.clear()
2022-11-23T01:32:30.3835678Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.3835866Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.3836069Z     buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.3836269Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.3836343Z     del arg0_1
2022-11-23T01:32:30.3836425Z     return (buf2, )
2022-11-23T01:32:30.3836430Z 
2022-11-23T01:32:30.3836435Z 
2022-11-23T01:32:30.3836516Z if __name__ == "__main__":
2022-11-23T01:32:30.3836629Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3836757Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3836956Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3837070Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3837075Z 
2022-11-23T01:32:30.3837146Z ok (1.583s)
2022-11-23T01:32:30.3837446Z   test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3837792Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3838011Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3838285Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3838560Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3838875Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3839211Z [2022-11-23 01:27:25,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3839534Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3839900Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:30.3840001Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3840101Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3840201Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3840334Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3840429Z               8 CALL_METHOD              1
2022-11-23T01:32:30.3840513Z              10 BINARY_MULTIPLY
2022-11-23T01:32:30.3840609Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3840705Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3840797Z              16 CALL_METHOD              0
2022-11-23T01:32:30.3840876Z              18 BINARY_ADD
2022-11-23T01:32:30.3840955Z              20 RETURN_VALUE
2022-11-23T01:32:30.3841021Z  
2022-11-23T01:32:30.3841027Z 
2022-11-23T01:32:30.3841337Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:30.3841554Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:30.3841841Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:30.3842126Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3842435Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3842782Z [2022-11-23 01:27:25,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3843078Z [2022-11-23 01:27:25,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3843323Z [2022-11-23 01:27:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3843587Z [2022-11-23 01:27:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3843893Z [2022-11-23 01:27:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3844168Z [2022-11-23 01:27:25,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3844419Z [2022-11-23 01:27:25,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3844822Z [2022-11-23 01:27:25,846] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:30.3845074Z [2022-11-23 01:27:25,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3845334Z [2022-11-23 01:27:25,846] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3845593Z [2022-11-23 01:27:25,847] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3845848Z [2022-11-23 01:27:25,850] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3846047Z [2022-11-23 01:27:25,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3846182Z  __compiled_fn_237 <eval_with_key>.1466 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3846277Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3846421Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.3846598Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:30.3846694Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:30.3846877Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:30.3846977Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.3846983Z 
2022-11-23T01:32:30.3847306Z [2022-11-23 01:27:25,851] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3847409Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3847506Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3847600Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3847700Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3847793Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3847890Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3847974Z              12 RETURN_VALUE
2022-11-23T01:32:30.3847979Z 
2022-11-23T01:32:30.3848038Z  
2022-11-23T01:32:30.3848366Z [2022-11-23 01:27:25,851] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3848489Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_237)
2022-11-23T01:32:30.3848590Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3848689Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3848773Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3848869Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3848958Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3849043Z              12 RETURN_VALUE
2022-11-23T01:32:30.3849048Z 
2022-11-23T01:32:30.3849115Z  
2022-11-23T01:32:30.3849304Z [2022-11-23 01:27:25,851] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3849382Z  - 
2022-11-23T01:32:30.3849510Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3849580Z             {
2022-11-23T01:32:30.3849720Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3849915Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3850043Z                 'obj_weakref': None
2022-11-23T01:32:30.3850269Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3850340Z             }
2022-11-23T01:32:30.3850411Z             
2022-11-23T01:32:30.3850487Z  - 
2022-11-23T01:32:30.3850616Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3850680Z             {
2022-11-23T01:32:30.3850827Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3850938Z                 'code': None,
2022-11-23T01:32:30.3851145Z                 'obj_weakref': <weakref at 0x7f2023140310; to 'Tensor' at 0x7f20682404f0>
2022-11-23T01:32:30.3851424Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3851497Z             }
2022-11-23T01:32:30.3851565Z             
2022-11-23T01:32:30.3851635Z  - 
2022-11-23T01:32:30.3851795Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3851863Z             {
2022-11-23T01:32:30.3852007Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3852213Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3852355Z                 'obj_weakref': None
2022-11-23T01:32:30.3852591Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3852654Z             }
2022-11-23T01:32:30.3852723Z             
2022-11-23T01:32:30.3852798Z  - 
2022-11-23T01:32:30.3852925Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3852993Z             {
2022-11-23T01:32:30.3853136Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3853351Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3853475Z                 'obj_weakref': None
2022-11-23T01:32:30.3853703Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3853776Z             }
2022-11-23T01:32:30.3853844Z             
2022-11-23T01:32:30.3854111Z [2022-11-23 01:27:25,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229
2022-11-23T01:32:30.3854475Z [2022-11-23 01:27:27,399] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yv/cyv3cbzius7tixig772ilteft2v3po2agtjmf746axjhom7267ec.py
2022-11-23T01:32:30.3854740Z [2022-11-23 01:27:27,399] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229
2022-11-23T01:32:30.3854983Z [2022-11-23 01:27:27,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3855296Z [2022-11-23 01:27:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3855520Z [2022-11-23 01:27:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3855780Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3856057Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3856376Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3856722Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3857046Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3857412Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:30.3857516Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3857613Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3857709Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3857850Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3857949Z               8 CALL_METHOD              1
2022-11-23T01:32:30.3858036Z              10 BINARY_MULTIPLY
2022-11-23T01:32:30.3858131Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3858230Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3858323Z              16 CALL_METHOD              0
2022-11-23T01:32:30.3858396Z              18 BINARY_ADD
2022-11-23T01:32:30.3858518Z              20 RETURN_VALUE
2022-11-23T01:32:30.3858586Z  
2022-11-23T01:32:30.3858591Z 
2022-11-23T01:32:30.3859021Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:30.3859288Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:30.3859542Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:30.3859823Z [2022-11-23 01:27:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3860136Z [2022-11-23 01:27:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3860479Z [2022-11-23 01:27:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3860774Z [2022-11-23 01:27:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3861021Z [2022-11-23 01:27:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3861292Z [2022-11-23 01:27:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3861598Z [2022-11-23 01:27:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3861874Z [2022-11-23 01:27:27,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3862125Z [2022-11-23 01:27:27,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3862501Z [2022-11-23 01:27:27,407] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:30.3862753Z [2022-11-23 01:27:27,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3862993Z [2022-11-23 01:27:27,408] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3863251Z [2022-11-23 01:27:27,408] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3863500Z [2022-11-23 01:27:27,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3863694Z [2022-11-23 01:27:27,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3863838Z  __compiled_fn_238 <eval_with_key>.1472 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3863934Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3864075Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.3864253Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:30.3864349Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:30.3864526Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:30.3864626Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.3864632Z 
2022-11-23T01:32:30.3864962Z [2022-11-23 01:27:27,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3865064Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3865162Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3865259Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3865359Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3865451Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3865539Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3865662Z              12 RETURN_VALUE
2022-11-23T01:32:30.3865668Z 
2022-11-23T01:32:30.3865735Z  
2022-11-23T01:32:30.3866067Z [2022-11-23 01:27:27,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3866204Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_238)
2022-11-23T01:32:30.3866300Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3866396Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3866479Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3866566Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3866663Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3866747Z              12 RETURN_VALUE
2022-11-23T01:32:30.3866752Z 
2022-11-23T01:32:30.3866818Z  
2022-11-23T01:32:30.3867007Z [2022-11-23 01:27:27,413] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3867083Z  - 
2022-11-23T01:32:30.3867213Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3867276Z             {
2022-11-23T01:32:30.3867423Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3867617Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3867745Z                 'obj_weakref': None
2022-11-23T01:32:30.3867975Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3868044Z             }
2022-11-23T01:32:30.3868111Z             
2022-11-23T01:32:30.3868180Z  - 
2022-11-23T01:32:30.3868311Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3868380Z             {
2022-11-23T01:32:30.3868526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3868638Z                 'code': None,
2022-11-23T01:32:30.3868853Z                 'obj_weakref': <weakref at 0x7f201e321f30; to 'Tensor' at 0x7f2068243f10>
2022-11-23T01:32:30.3869109Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3869172Z             }
2022-11-23T01:32:30.3869241Z             
2022-11-23T01:32:30.3869317Z  - 
2022-11-23T01:32:30.3869458Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3869526Z             {
2022-11-23T01:32:30.3869667Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3877070Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3877235Z                 'obj_weakref': None
2022-11-23T01:32:30.3877473Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3877545Z             }
2022-11-23T01:32:30.3877617Z             
2022-11-23T01:32:30.3877699Z  - 
2022-11-23T01:32:30.3877828Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3877898Z             {
2022-11-23T01:32:30.3878032Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3878265Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3878389Z                 'obj_weakref': None
2022-11-23T01:32:30.3878614Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3878687Z             }
2022-11-23T01:32:30.3878756Z             
2022-11-23T01:32:30.3879019Z [2022-11-23 01:27:27,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230
2022-11-23T01:32:30.3879378Z [2022-11-23 01:27:28,964] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dw/cdwzvreu2yjjjwmkkc2aepwkcs2aqrtc6pi7ro33h2hpcjbidbqv.py
2022-11-23T01:32:30.3879645Z [2022-11-23 01:27:28,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230
2022-11-23T01:32:30.3879884Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3880265Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3880488Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3880769Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3881047Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3881365Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3881704Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3882023Z [2022-11-23 01:27:28,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3882441Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:30.3882537Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3882635Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3882736Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3882874Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.3882970Z               8 CALL_METHOD              1
2022-11-23T01:32:30.3883058Z              10 BINARY_MULTIPLY
2022-11-23T01:32:30.3883154Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3883246Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:30.3883339Z              16 CALL_METHOD              0
2022-11-23T01:32:30.3883419Z              18 BINARY_ADD
2022-11-23T01:32:30.3883504Z              20 RETURN_VALUE
2022-11-23T01:32:30.3883571Z  
2022-11-23T01:32:30.3883577Z 
2022-11-23T01:32:30.3883887Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:30.3884105Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:30.3884353Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:30.3884620Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3884927Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3885272Z [2022-11-23 01:27:28,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.3885563Z [2022-11-23 01:27:28,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3885804Z [2022-11-23 01:27:28,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3886069Z [2022-11-23 01:27:28,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3886375Z [2022-11-23 01:27:28,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.3886649Z [2022-11-23 01:27:28,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3886901Z [2022-11-23 01:27:28,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3887310Z [2022-11-23 01:27:28,972] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:30.3887557Z [2022-11-23 01:27:28,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.3887820Z [2022-11-23 01:27:28,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3888080Z [2022-11-23 01:27:28,973] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3888334Z [2022-11-23 01:27:28,976] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3888527Z [2022-11-23 01:27:28,976] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3888670Z  __compiled_fn_239 <eval_with_key>.1478 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3888769Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3888911Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.3889086Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:30.3889176Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:30.3889361Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:30.3889461Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.3889467Z 
2022-11-23T01:32:30.3889793Z [2022-11-23 01:27:28,977] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3889894Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3889992Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3890089Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3890182Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3890276Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3890370Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3890456Z              12 RETURN_VALUE
2022-11-23T01:32:30.3890462Z 
2022-11-23T01:32:30.3890532Z  
2022-11-23T01:32:30.3890858Z [2022-11-23 01:27:28,977] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3890979Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_239)
2022-11-23T01:32:30.3891077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3891167Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3891249Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3891342Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3891439Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.3891520Z              12 RETURN_VALUE
2022-11-23T01:32:30.3891526Z 
2022-11-23T01:32:30.3891591Z  
2022-11-23T01:32:30.3891778Z [2022-11-23 01:27:28,977] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3891848Z  - 
2022-11-23T01:32:30.3891975Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3892045Z             {
2022-11-23T01:32:30.3892197Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3892420Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3892558Z                 'obj_weakref': None
2022-11-23T01:32:30.3892786Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3892849Z             }
2022-11-23T01:32:30.3892918Z             
2022-11-23T01:32:30.3892994Z  - 
2022-11-23T01:32:30.3893122Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3893191Z             {
2022-11-23T01:32:30.3893336Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3893449Z                 'code': None,
2022-11-23T01:32:30.3893653Z                 'obj_weakref': <weakref at 0x7f2022ee8630; to 'Tensor' at 0x7f2068243150>
2022-11-23T01:32:30.3893935Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3894007Z             }
2022-11-23T01:32:30.3894076Z             
2022-11-23T01:32:30.3894154Z  - 
2022-11-23T01:32:30.3894314Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3894383Z             {
2022-11-23T01:32:30.3894516Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3894692Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3894817Z                 'obj_weakref': None
2022-11-23T01:32:30.3895053Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3895122Z             }
2022-11-23T01:32:30.3895191Z             
2022-11-23T01:32:30.3895267Z  - 
2022-11-23T01:32:30.3895387Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3895455Z             {
2022-11-23T01:32:30.3895596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3895815Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3895942Z                 'obj_weakref': None
2022-11-23T01:32:30.3896167Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3896239Z             }
2022-11-23T01:32:30.3896300Z             
2022-11-23T01:32:30.3896564Z [2022-11-23 01:27:28,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231
2022-11-23T01:32:30.3896928Z [2022-11-23 01:27:30,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cx/ccx4xqggd4l63w4rtyn75b4dwwi76j2dmmhicowmsztwksr6hmjy.py
2022-11-23T01:32:30.3897200Z [2022-11-23 01:27:30,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231
2022-11-23T01:32:30.3897206Z 
2022-11-23T01:32:30.3897306Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3897381Z import torch
2022-11-23T01:32:30.3897460Z import random
2022-11-23T01:32:30.3897584Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3897705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3897722Z 
2022-11-23T01:32:30.3897799Z aten = torch.ops.aten
2022-11-23T01:32:30.3897944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3898043Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3898048Z 
2022-11-23T01:32:30.3898122Z import triton
2022-11-23T01:32:30.3898215Z import triton.language as tl
2022-11-23T01:32:30.3898343Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3898488Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3898494Z 
2022-11-23T01:32:30.3898498Z 
2022-11-23T01:32:30.3898637Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3898980Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3899106Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3899222Z                        const bool* __restrict__ in_ptr0,
2022-11-23T01:32:30.3899327Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.3899394Z {
2022-11-23T01:32:30.3899490Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.3899556Z     {
2022-11-23T01:32:30.3899618Z         {
2022-11-23T01:32:30.3899701Z             long tmp2 = 0;
2022-11-23T01:32:30.3899783Z             long tmp3 = 0;
2022-11-23T01:32:30.3899896Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3899965Z             {
2022-11-23T01:32:30.3900104Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:30.3900195Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.3900266Z                 {
2022-11-23T01:32:30.3900339Z                     {
2022-11-23T01:32:30.3900443Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3900560Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:30.3900704Z                         tmp2 += tmp1;
2022-11-23T01:32:30.3900789Z                         tmp3 += tmp1;
2022-11-23T01:32:30.3900855Z                     }
2022-11-23T01:32:30.3900926Z                 }
2022-11-23T01:32:30.3901025Z             }
2022-11-23T01:32:30.3901110Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:30.3901194Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:30.3901264Z         }
2022-11-23T01:32:30.3901333Z     }
2022-11-23T01:32:30.3901393Z     {
2022-11-23T01:32:30.3901462Z         {
2022-11-23T01:32:30.3901556Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.3901644Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:30.3901748Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:30.3901839Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3901948Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3902033Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:30.3902117Z         }
2022-11-23T01:32:30.3902189Z     }
2022-11-23T01:32:30.3902258Z }
2022-11-23T01:32:30.3902348Z ''')
2022-11-23T01:32:30.3902353Z 
2022-11-23T01:32:30.3902358Z 
2022-11-23T01:32:30.3902452Z async_compile.wait(globals())
2022-11-23T01:32:30.3902529Z del async_compile
2022-11-23T01:32:30.3902538Z 
2022-11-23T01:32:30.3902607Z def call(args):
2022-11-23T01:32:30.3902681Z     arg0_1, = args
2022-11-23T01:32:30.3902758Z     args.clear()
2022-11-23T01:32:30.3902945Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3903125Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3903216Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.3903387Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3903455Z     del arg0_1
2022-11-23T01:32:30.3903532Z     return (buf2, )
2022-11-23T01:32:30.3903538Z 
2022-11-23T01:32:30.3903542Z 
2022-11-23T01:32:30.3903626Z if __name__ == "__main__":
2022-11-23T01:32:30.3903748Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3903879Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3904072Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.3904188Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3904193Z 
2022-11-23T01:32:30.3904197Z 
2022-11-23T01:32:30.3904296Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3904364Z import torch
2022-11-23T01:32:30.3904440Z import random
2022-11-23T01:32:30.3904562Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3904688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3904693Z 
2022-11-23T01:32:30.3904776Z aten = torch.ops.aten
2022-11-23T01:32:30.3904916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3905012Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3905017Z 
2022-11-23T01:32:30.3905094Z import triton
2022-11-23T01:32:30.3905180Z import triton.language as tl
2022-11-23T01:32:30.3905311Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3905453Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3905459Z 
2022-11-23T01:32:30.3905466Z 
2022-11-23T01:32:30.3905604Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3905813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3905935Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3906057Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:32:30.3906160Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.3906220Z {
2022-11-23T01:32:30.3906311Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.3906379Z     {
2022-11-23T01:32:30.3906447Z         {
2022-11-23T01:32:30.3906530Z             long tmp2 = 0;
2022-11-23T01:32:30.3906611Z             long tmp3 = 0;
2022-11-23T01:32:30.3906745Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3906815Z             {
2022-11-23T01:32:30.3906950Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:30.3907047Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.3907143Z                 {
2022-11-23T01:32:30.3907216Z                     {
2022-11-23T01:32:30.3907319Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3907428Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:30.3907515Z                         tmp2 += tmp1;
2022-11-23T01:32:30.3907600Z                         tmp3 += tmp1;
2022-11-23T01:32:30.3907672Z                     }
2022-11-23T01:32:30.3907741Z                 }
2022-11-23T01:32:30.3907809Z             }
2022-11-23T01:32:30.3907893Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:30.3907971Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:30.3908041Z         }
2022-11-23T01:32:30.3908108Z     }
2022-11-23T01:32:30.3908175Z     {
2022-11-23T01:32:30.3908245Z         {
2022-11-23T01:32:30.3908337Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.3908429Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:30.3908527Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:30.3908623Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3908711Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3908798Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:30.3908867Z         }
2022-11-23T01:32:30.3908934Z     }
2022-11-23T01:32:30.3908993Z }
2022-11-23T01:32:30.3909081Z ''')
2022-11-23T01:32:30.3909087Z 
2022-11-23T01:32:30.3909091Z 
2022-11-23T01:32:30.3909185Z async_compile.wait(globals())
2022-11-23T01:32:30.3909264Z del async_compile
2022-11-23T01:32:30.3909269Z 
2022-11-23T01:32:30.3909346Z def call(args):
2022-11-23T01:32:30.3909420Z     arg0_1, = args
2022-11-23T01:32:30.3909496Z     args.clear()
2022-11-23T01:32:30.3909682Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3909859Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3909950Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.3910123Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3910201Z     del arg0_1
2022-11-23T01:32:30.3910346Z     return (buf2, )
2022-11-23T01:32:30.3910353Z 
2022-11-23T01:32:30.3910358Z 
2022-11-23T01:32:30.3910454Z if __name__ == "__main__":
2022-11-23T01:32:30.3910592Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3910737Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3910944Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8)
2022-11-23T01:32:30.3911060Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3911065Z 
2022-11-23T01:32:30.3911070Z 
2022-11-23T01:32:30.3911170Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3911244Z import torch
2022-11-23T01:32:30.3911322Z import random
2022-11-23T01:32:30.3911445Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3911571Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3911576Z 
2022-11-23T01:32:30.3911661Z aten = torch.ops.aten
2022-11-23T01:32:30.3911792Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3911887Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3911893Z 
2022-11-23T01:32:30.3911968Z import triton
2022-11-23T01:32:30.3912062Z import triton.language as tl
2022-11-23T01:32:30.3912190Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3912334Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3912339Z 
2022-11-23T01:32:30.3912344Z 
2022-11-23T01:32:30.3912481Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3912694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3912855Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.3912968Z                        const int* __restrict__ in_ptr0,
2022-11-23T01:32:30.3913073Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.3913140Z {
2022-11-23T01:32:30.3913258Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:30.3913326Z     {
2022-11-23T01:32:30.3913388Z         {
2022-11-23T01:32:30.3913470Z             long tmp2 = 0;
2022-11-23T01:32:30.3913551Z             long tmp3 = 0;
2022-11-23T01:32:30.3913663Z             #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3913733Z             {
2022-11-23T01:32:30.3913865Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:30.3913962Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.3914026Z                 {
2022-11-23T01:32:30.3914097Z                     {
2022-11-23T01:32:30.3914201Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3914316Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:30.3914405Z                         tmp2 += tmp1;
2022-11-23T01:32:30.3914491Z                         tmp3 += tmp1;
2022-11-23T01:32:30.3914561Z                     }
2022-11-23T01:32:30.3914625Z                 }
2022-11-23T01:32:30.3914698Z             }
2022-11-23T01:32:30.3914784Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:30.3914873Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:30.3914942Z         }
2022-11-23T01:32:30.3915009Z     }
2022-11-23T01:32:30.3915075Z     {
2022-11-23T01:32:30.3915136Z         {
2022-11-23T01:32:30.3915230Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:30.3915322Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:30.3915426Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:30.3915520Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3915610Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.3915698Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:30.3915760Z         }
2022-11-23T01:32:30.3915826Z     }
2022-11-23T01:32:30.3915893Z }
2022-11-23T01:32:30.3915981Z ''')
2022-11-23T01:32:30.3915987Z 
2022-11-23T01:32:30.3915991Z 
2022-11-23T01:32:30.3916086Z async_compile.wait(globals())
2022-11-23T01:32:30.3916163Z del async_compile
2022-11-23T01:32:30.3916171Z 
2022-11-23T01:32:30.3916248Z def call(args):
2022-11-23T01:32:30.3916316Z     arg0_1, = args
2022-11-23T01:32:30.3916391Z     args.clear()
2022-11-23T01:32:30.3916572Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3916752Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.3916843Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:30.3917011Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3917084Z     del arg0_1
2022-11-23T01:32:30.3917154Z     return (buf2, )
2022-11-23T01:32:30.3917159Z 
2022-11-23T01:32:30.3917176Z 
2022-11-23T01:32:30.3917250Z if __name__ == "__main__":
2022-11-23T01:32:30.3917373Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3917500Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3917694Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:30.3917807Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3917812Z 
2022-11-23T01:32:30.3917885Z ok (4.690s)
2022-11-23T01:32:30.3918198Z   test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3918512Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3918728Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3918983Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3919301Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3919619Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3919983Z [2022-11-23 01:27:30,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3920301Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3920664Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224> 
2022-11-23T01:32:30.3920770Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3920872Z                2 LOAD_ATTR                1 (sum)
2022-11-23T01:32:30.3920963Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.3921059Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.3921143Z                8 BINARY_ADD
2022-11-23T01:32:30.3921286Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.3921386Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:30.3921542Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:30.3921641Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.3921730Z               18 BUILD_TUPLE              1
2022-11-23T01:32:30.3921815Z               20 RETURN_VALUE
2022-11-23T01:32:30.3921881Z  
2022-11-23T01:32:30.3921886Z 
2022-11-23T01:32:30.3922196Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225
2022-11-23T01:32:30.3922444Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3922829Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3923147Z [2022-11-23 01:27:30,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3923483Z [2022-11-23 01:27:30,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3923855Z [2022-11-23 01:27:30,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3924199Z [2022-11-23 01:27:30,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.3924585Z [2022-11-23 01:27:30,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3925013Z [2022-11-23 01:27:30,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:30.3925480Z [2022-11-23 01:27:30,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.3925725Z [2022-11-23 01:27:30,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.3926007Z [2022-11-23 01:27:30,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3926384Z [2022-11-23 01:27:30,535] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224>
2022-11-23T01:32:30.3926658Z [2022-11-23 01:27:30,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3926898Z [2022-11-23 01:27:30,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3927157Z [2022-11-23 01:27:30,536] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3927416Z [2022-11-23 01:27:30,539] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3927609Z [2022-11-23 01:27:30,539] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3927758Z  __compiled_fn_240 <eval_with_key>.1484 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3927847Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3927940Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.3928124Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.3928379Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (add, -1), {'keepdim': True}
2022-11-23T01:32:30.3928482Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:30.3928487Z 
2022-11-23T01:32:30.3928814Z [2022-11-23 01:27:30,539] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3928918Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3929018Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3929107Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3929208Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3929305Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3929401Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3929484Z              12 RETURN_VALUE
2022-11-23T01:32:30.3929490Z 
2022-11-23T01:32:30.3929561Z  
2022-11-23T01:32:30.3929885Z [2022-11-23 01:27:30,539] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3929995Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_240)
2022-11-23T01:32:30.3930096Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3930193Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3930279Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3930374Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3930469Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3930551Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.3930638Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.3930754Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3930863Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3930957Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3931042Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3931136Z              24 BUILD_TUPLE              1
2022-11-23T01:32:30.3931219Z              26 RETURN_VALUE
2022-11-23T01:32:30.3931224Z 
2022-11-23T01:32:30.3931295Z  
2022-11-23T01:32:30.3931476Z [2022-11-23 01:27:30,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3931553Z  - 
2022-11-23T01:32:30.3931682Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3931752Z             {
2022-11-23T01:32:30.3931899Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3932103Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.3932244Z                 'obj_weakref': None
2022-11-23T01:32:30.3932518Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3932590Z             }
2022-11-23T01:32:30.3932661Z             
2022-11-23T01:32:30.3932738Z  - 
2022-11-23T01:32:30.3932896Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3932965Z             {
2022-11-23T01:32:30.3933115Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3933221Z                 'code': None,
2022-11-23T01:32:30.3933433Z                 'obj_weakref': <weakref at 0x7f2022f7b0b0; to 'Tensor' at 0x7f2115b20680>
2022-11-23T01:32:30.3933684Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3933753Z             }
2022-11-23T01:32:30.3933822Z             
2022-11-23T01:32:30.3933898Z  - 
2022-11-23T01:32:30.3934025Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.3934087Z             {
2022-11-23T01:32:30.3934236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3934351Z                 'code': None,
2022-11-23T01:32:30.3934561Z                 'obj_weakref': <weakref at 0x7f201e3876f0; to 'Tensor' at 0x7f20727fbd30>
2022-11-23T01:32:30.3934808Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3934882Z             }
2022-11-23T01:32:30.3934950Z             
2022-11-23T01:32:30.3935018Z  - 
2022-11-23T01:32:30.3935154Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3935225Z             {
2022-11-23T01:32:30.3935366Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3935543Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3935669Z                 'obj_weakref': None
2022-11-23T01:32:30.3935902Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3935965Z             }
2022-11-23T01:32:30.3936033Z             
2022-11-23T01:32:30.3936108Z  - 
2022-11-23T01:32:30.3936239Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3936309Z             {
2022-11-23T01:32:30.3936450Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3936674Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3936793Z                 'obj_weakref': None
2022-11-23T01:32:30.3937022Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3937094Z             }
2022-11-23T01:32:30.3937163Z             
2022-11-23T01:32:30.3937241Z  - 
2022-11-23T01:32:30.3937379Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.3937452Z             {
2022-11-23T01:32:30.3937570Z                 'guard_types': None,
2022-11-23T01:32:30.3937683Z                 'code': None,
2022-11-23T01:32:30.3937806Z                 'obj_weakref': None
2022-11-23T01:32:30.3937933Z                 'guarded_class': None
2022-11-23T01:32:30.3938004Z             }
2022-11-23T01:32:30.3938074Z             
2022-11-23T01:32:30.3938333Z [2022-11-23 01:27:30,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232
2022-11-23T01:32:30.3938700Z [2022-11-23 01:27:30,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5e/c5ewspxudyg7g5vndeldovsfgs6d546dri35ub73rza7b3pnkvsu.py
2022-11-23T01:32:30.3939264Z [2022-11-23 01:27:30,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232
2022-11-23T01:32:30.3939271Z 
2022-11-23T01:32:30.3939373Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3939448Z import torch
2022-11-23T01:32:30.3939525Z import random
2022-11-23T01:32:30.3939648Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3939774Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3939779Z 
2022-11-23T01:32:30.3939864Z aten = torch.ops.aten
2022-11-23T01:32:30.3940110Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3940212Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3940218Z 
2022-11-23T01:32:30.3940294Z import triton
2022-11-23T01:32:30.3940390Z import triton.language as tl
2022-11-23T01:32:30.3940549Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3940693Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3940699Z 
2022-11-23T01:32:30.3940704Z 
2022-11-23T01:32:30.3940855Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3941066Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3941185Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3941297Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.3941403Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.3941469Z {
2022-11-23T01:32:30.3941572Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3941640Z     {
2022-11-23T01:32:30.3941725Z         #pragma omp for 
2022-11-23T01:32:30.3941807Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.3941876Z         {
2022-11-23T01:32:30.3941945Z             {
2022-11-23T01:32:30.3942157Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.3942246Z                 float tmp3 = 0;
2022-11-23T01:32:30.3942377Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:30.3942474Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.3942538Z                 {
2022-11-23T01:32:30.3942689Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3942838Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:32:30.3942937Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3943026Z                     tmp3_vec += tmp2;
2022-11-23T01:32:30.3943098Z                 }
2022-11-23T01:32:30.3943302Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:30.3943435Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:32:30.3943525Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.3943600Z                 {
2022-11-23T01:32:30.3943709Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.3943814Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.3943916Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.3944000Z                     tmp3 += tmp2;
2022-11-23T01:32:30.3944071Z                 }
2022-11-23T01:32:30.3944153Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.3944223Z             }
2022-11-23T01:32:30.3944293Z         }
2022-11-23T01:32:30.3944360Z     }
2022-11-23T01:32:30.3944426Z }
2022-11-23T01:32:30.3944511Z ''')
2022-11-23T01:32:30.3944519Z 
2022-11-23T01:32:30.3944524Z 
2022-11-23T01:32:30.3944620Z async_compile.wait(globals())
2022-11-23T01:32:30.3944691Z del async_compile
2022-11-23T01:32:30.3944705Z 
2022-11-23T01:32:30.3944777Z def call(args):
2022-11-23T01:32:30.3944858Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.3944936Z     args.clear()
2022-11-23T01:32:30.3945137Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3945307Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.3945381Z     del arg0_1
2022-11-23T01:32:30.3945455Z     del arg1_1
2022-11-23T01:32:30.3945525Z     return (buf0, )
2022-11-23T01:32:30.3945530Z 
2022-11-23T01:32:30.3945535Z 
2022-11-23T01:32:30.3945616Z if __name__ == "__main__":
2022-11-23T01:32:30.3945740Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3945869Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3946101Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3946302Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3946447Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.3946452Z 
2022-11-23T01:32:30.3946524Z ok (0.026s)
2022-11-23T01:32:30.3946820Z   test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3947135Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3947361Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3947620Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3947903Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3948221Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3948574Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3948899Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3949271Z [2022-11-23 01:27:30,557] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116> 
2022-11-23T01:32:30.3949376Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.3949470Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:30.3949572Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3949669Z                6 CALL_METHOD              1
2022-11-23T01:32:30.3949766Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.3949849Z               10 BINARY_ADD
2022-11-23T01:32:30.3949948Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.3950044Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:30.3950132Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3950228Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3950388Z               20 BINARY_ADD
2022-11-23T01:32:30.3950495Z               22 CALL_METHOD              1
2022-11-23T01:32:30.3950598Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.3950684Z               26 RETURN_VALUE
2022-11-23T01:32:30.3950755Z  
2022-11-23T01:32:30.3950761Z 
2022-11-23T01:32:30.3951073Z [2022-11-23 01:27:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117
2022-11-23T01:32:30.3951297Z [2022-11-23 01:27:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.3951610Z [2022-11-23 01:27:30,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.3951869Z [2022-11-23 01:27:30,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T01:32:30.3952159Z [2022-11-23 01:27:30,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:30.3952399Z [2022-11-23 01:27:30,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.3952684Z [2022-11-23 01:27:30,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3952966Z [2022-11-23 01:27:30,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.3953301Z [2022-11-23 01:27:30,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.3953602Z [2022-11-23 01:27:30,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T01:32:30.3953904Z [2022-11-23 01:27:30,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:30.3954254Z [2022-11-23 01:27:30,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.3954566Z [2022-11-23 01:27:30,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:30.3954841Z [2022-11-23 01:27:30,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3955091Z [2022-11-23 01:27:30,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3955475Z [2022-11-23 01:27:30,574] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116>
2022-11-23T01:32:30.3955723Z [2022-11-23 01:27:30,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3955960Z [2022-11-23 01:27:30,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3956217Z [2022-11-23 01:27:30,576] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3956478Z [2022-11-23 01:27:30,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3956665Z [2022-11-23 01:27:30,581] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3956812Z  __compiled_fn_241 <eval_with_key>.1490 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3956912Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3957022Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T01:32:30.3957202Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T01:32:30.3957381Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.3957493Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T01:32:30.3957603Z output, output, output, ((add, tanh_1),), {}
2022-11-23T01:32:30.3957609Z 
2022-11-23T01:32:30.3957932Z [2022-11-23 01:27:30,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3958034Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3958136Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3958229Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3958330Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3958425Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3958521Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3958604Z              12 RETURN_VALUE
2022-11-23T01:32:30.3958609Z 
2022-11-23T01:32:30.3958669Z  
2022-11-23T01:32:30.3958999Z [2022-11-23 01:27:30,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3959116Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_241)
2022-11-23T01:32:30.3959217Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3959313Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3959398Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3959494Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3959640Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3959754Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3959852Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3959960Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3960068Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3960165Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3960246Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3960333Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.3960415Z              26 RETURN_VALUE
2022-11-23T01:32:30.3960420Z 
2022-11-23T01:32:30.3960485Z  
2022-11-23T01:32:30.3960676Z [2022-11-23 01:27:30,583] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3960753Z  - 
2022-11-23T01:32:30.3960880Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3960951Z             {
2022-11-23T01:32:30.3961100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3961287Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3961414Z                 'obj_weakref': None
2022-11-23T01:32:30.3961649Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3961734Z             }
2022-11-23T01:32:30.3961807Z             
2022-11-23T01:32:30.3961899Z  - 
2022-11-23T01:32:30.3962038Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3962102Z             {
2022-11-23T01:32:30.3962250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3962362Z                 'code': None,
2022-11-23T01:32:30.3962576Z                 'obj_weakref': <weakref at 0x7f2072855670; to 'Tensor' at 0x7f20606cd440>
2022-11-23T01:32:30.3962831Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3962900Z             }
2022-11-23T01:32:30.3962970Z             
2022-11-23T01:32:30.3963041Z  - 
2022-11-23T01:32:30.3963176Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3963246Z             {
2022-11-23T01:32:30.3963386Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3963565Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3963690Z                 'obj_weakref': None
2022-11-23T01:32:30.3963924Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3963986Z             }
2022-11-23T01:32:30.3964055Z             
2022-11-23T01:32:30.3964131Z  - 
2022-11-23T01:32:30.3964257Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.3964326Z             {
2022-11-23T01:32:30.3964468Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.3964689Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.3964806Z                 'obj_weakref': None
2022-11-23T01:32:30.3965036Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.3965106Z             }
2022-11-23T01:32:30.3965177Z             
2022-11-23T01:32:30.3965255Z  - 
2022-11-23T01:32:30.3965393Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.3965455Z             {
2022-11-23T01:32:30.3965580Z                 'guard_types': None,
2022-11-23T01:32:30.3965694Z                 'code': None,
2022-11-23T01:32:30.3965817Z                 'obj_weakref': None
2022-11-23T01:32:30.3965947Z                 'guarded_class': None
2022-11-23T01:32:30.3966016Z             }
2022-11-23T01:32:30.3966086Z             
2022-11-23T01:32:30.3966343Z [2022-11-23 01:27:30,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233
2022-11-23T01:32:30.3966709Z [2022-11-23 01:27:32,173] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fd/cfdw5blfbxmb3hfb3ezlhwjsjad2s5idjumfv7n454uqeqdmdpb5.py
2022-11-23T01:32:30.3967008Z [2022-11-23 01:27:32,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233
2022-11-23T01:32:30.3967014Z 
2022-11-23T01:32:30.3967115Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.3967212Z import torch
2022-11-23T01:32:30.3967286Z import random
2022-11-23T01:32:30.3967410Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.3967535Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.3967541Z 
2022-11-23T01:32:30.3967624Z aten = torch.ops.aten
2022-11-23T01:32:30.3967759Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.3967856Z async_compile = AsyncCompile()
2022-11-23T01:32:30.3967861Z 
2022-11-23T01:32:30.3967935Z import triton
2022-11-23T01:32:30.3968029Z import triton.language as tl
2022-11-23T01:32:30.3968157Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.3968301Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.3968309Z 
2022-11-23T01:32:30.3968313Z 
2022-11-23T01:32:30.3968453Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.3968662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.3968785Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.3968892Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.3968997Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.3969067Z {
2022-11-23T01:32:30.3969170Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.3969237Z     {
2022-11-23T01:32:30.3969318Z         #pragma omp for 
2022-11-23T01:32:30.3969401Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.3969472Z         {
2022-11-23T01:32:30.3969615Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.3969820Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-2.0));
2022-11-23T01:32:30.3969913Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3970004Z             auto tmp3 = tmp2.exp();
2022-11-23T01:32:30.3970149Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:30.3970235Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.3970338Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:30.3970480Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:32:30.3970568Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:30.3970695Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:30.3970836Z             auto tmp10 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.3970931Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:30.3971071Z             auto tmp12 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.3971155Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:32:30.3971245Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:32:30.3971338Z             auto tmp15 = tmp14.exp();
2022-11-23T01:32:30.3971427Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:32:30.3971536Z             auto tmp17 = tmp16.reciprocal();
2022-11-23T01:32:30.3971627Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:32:30.3971776Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:32:30.3971873Z             tmp11.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.3971995Z             tmp19.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.3972064Z         }
2022-11-23T01:32:30.3972165Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.3972257Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:30.3972326Z         {
2022-11-23T01:32:30.3972418Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.3972563Z             auto tmp1 = static_cast<float>(-2.0);
2022-11-23T01:32:30.3972653Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.3972749Z             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:30.3972886Z             auto tmp4 = static_cast<float>(1.0);
2022-11-23T01:32:30.3972978Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:30.3973068Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:30.3973178Z             auto tmp7 = static_cast<float>(2.0);
2022-11-23T01:32:30.3973284Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:30.3973411Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:30.3973516Z             auto tmp10 = static_cast<float>(2);
2022-11-23T01:32:30.3973607Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:30.3973711Z             auto tmp12 = static_cast<float>(1);
2022-11-23T01:32:30.3973800Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:32:30.3973893Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:32:30.3973984Z             auto tmp15 = std::exp(tmp14);
2022-11-23T01:32:30.3974075Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:32:30.3974163Z             auto tmp17 = 1 / tmp16;
2022-11-23T01:32:30.3974255Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:32:30.3974386Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:32:30.3974472Z             out_ptr0[i0] = tmp11;
2022-11-23T01:32:30.3974560Z             out_ptr1[i0] = tmp19;
2022-11-23T01:32:30.3974622Z         }
2022-11-23T01:32:30.3974692Z     }
2022-11-23T01:32:30.3974759Z }
2022-11-23T01:32:30.3974844Z ''')
2022-11-23T01:32:30.3974850Z 
2022-11-23T01:32:30.3974854Z 
2022-11-23T01:32:30.3974950Z async_compile.wait(globals())
2022-11-23T01:32:30.3975028Z del async_compile
2022-11-23T01:32:30.3975033Z 
2022-11-23T01:32:30.3975109Z def call(args):
2022-11-23T01:32:30.3975178Z     arg0_1, = args
2022-11-23T01:32:30.3975258Z     args.clear()
2022-11-23T01:32:30.3975461Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3975663Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3975836Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.3975910Z     del arg0_1
2022-11-23T01:32:30.3975996Z     return (buf0, buf1, )
2022-11-23T01:32:30.3976002Z 
2022-11-23T01:32:30.3976007Z 
2022-11-23T01:32:30.3976088Z if __name__ == "__main__":
2022-11-23T01:32:30.3976201Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.3976337Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.3976537Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.3976653Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.3976658Z 
2022-11-23T01:32:30.3976730Z ok (1.621s)
2022-11-23T01:32:30.3977033Z   test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.3977348Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.3977572Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.3977819Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.3978096Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.3978416Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3978757Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3979201Z [2022-11-23 01:27:32,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.3979618Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914> 
2022-11-23T01:32:30.3979724Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3979823Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.3979952Z               4 LOAD_CONST               1 (1)
2022-11-23T01:32:30.3980047Z               6 BUILD_LIST               1
2022-11-23T01:32:30.3980138Z               8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3980236Z              10 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.3980391Z              12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:30.3980488Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.3980583Z              16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3980662Z              18 BINARY_ADD
2022-11-23T01:32:30.3980763Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.3980853Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.3980862Z 
2022-11-23T01:32:30.3980957Z 916          24 LOAD_CONST               3 (5)
2022-11-23T01:32:30.3981055Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:30.3981154Z              28 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.3981165Z 
2022-11-23T01:32:30.3981321Z 915          30 LOAD_CONST               2 (('device',))
2022-11-23T01:32:30.3981420Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.3981514Z              34 BUILD_TUPLE              2
2022-11-23T01:32:30.3981597Z              36 RETURN_VALUE
2022-11-23T01:32:30.3981657Z  
2022-11-23T01:32:30.3981663Z 
2022-11-23T01:32:30.3981971Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:30.3982195Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.3982561Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3982880Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3983239Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.3983574Z [2022-11-23 01:27:32,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.3983944Z [2022-11-23 01:27:32,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.3984326Z [2022-11-23 01:27:32,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.3984743Z [2022-11-23 01:27:32,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.3984986Z [2022-11-23 01:27:32,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.3985252Z [2022-11-23 01:27:32,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3985503Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.3985917Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.3986235Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916
2022-11-23T01:32:30.3986603Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.3986978Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.3987385Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.3987696Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:30.3988118Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:30.3988579Z [2022-11-23 01:27:32,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.3988849Z [2022-11-23 01:27:32,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.3989097Z [2022-11-23 01:27:32,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3989468Z [2022-11-23 01:27:32,183] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914>
2022-11-23T01:32:30.3989710Z [2022-11-23 01:27:32,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.3989953Z [2022-11-23 01:27:32,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.3990214Z [2022-11-23 01:27:32,184] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.3990560Z [2022-11-23 01:27:32,187] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.3990772Z [2022-11-23 01:27:32,187] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.3990914Z  __compiled_fn_242 <eval_with_key>.1496 opcode, name, target, args, kwargs
2022-11-23T01:32:30.3991010Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.3991288Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1],), {'device': device(type='cpu')}
2022-11-23T01:32:30.3991476Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:30.3991741Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, (5,), {'device': device(type='cpu')}
2022-11-23T01:32:30.3991860Z output, output, output, ((add, tensor_1),), {}
2022-11-23T01:32:30.3991866Z 
2022-11-23T01:32:30.3992194Z [2022-11-23 01:27:32,188] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3992297Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.3992396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3992490Z               4 BUILD_MAP                0
2022-11-23T01:32:30.3992591Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.3992684Z               8 DICT_MERGE               1
2022-11-23T01:32:30.3992804Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.3992888Z              12 RETURN_VALUE
2022-11-23T01:32:30.3992894Z 
2022-11-23T01:32:30.3992961Z  
2022-11-23T01:32:30.3993291Z [2022-11-23 01:27:32,188] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.3993439Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_242)
2022-11-23T01:32:30.3993538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.3993639Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3993718Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.3993817Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.3993937Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.3994051Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3994149Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.3994233Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.3994349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.3994448Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.3994525Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.3994623Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.3994706Z              26 RETURN_VALUE
2022-11-23T01:32:30.3994711Z 
2022-11-23T01:32:30.3994779Z  
2022-11-23T01:32:30.3994987Z [2022-11-23 01:27:32,189] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.3995066Z  - 
2022-11-23T01:32:30.3995199Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.3995263Z             {
2022-11-23T01:32:30.3995422Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.3995635Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.3995770Z                 'obj_weakref': None
2022-11-23T01:32:30.3996025Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.3996097Z             }
2022-11-23T01:32:30.3996165Z             
2022-11-23T01:32:30.3996236Z  - 
2022-11-23T01:32:30.3996374Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.3996446Z             {
2022-11-23T01:32:30.3996604Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.3996796Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.3997029Z                 'obj_weakref': <weakref at 0x7f201e379490; to 'Tensor' at 0x7f2023237240>
2022-11-23T01:32:30.3997311Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3997375Z             }
2022-11-23T01:32:30.3997444Z             
2022-11-23T01:32:30.3997521Z  - 
2022-11-23T01:32:30.3997660Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.3997730Z             {
2022-11-23T01:32:30.3997892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.3998015Z                 'code': None,
2022-11-23T01:32:30.3998238Z                 'obj_weakref': <weakref at 0x7f201e379490; to 'Tensor' at 0x7f2023237240>
2022-11-23T01:32:30.3998513Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.3998586Z             }
2022-11-23T01:32:30.3998654Z             
2022-11-23T01:32:30.3998733Z  - 
2022-11-23T01:32:30.3998882Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.3998952Z             {
2022-11-23T01:32:30.3999096Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.3999291Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.3999424Z                 'obj_weakref': None
2022-11-23T01:32:30.3999682Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.3999756Z             }
2022-11-23T01:32:30.3999824Z             
2022-11-23T01:32:30.3999901Z  - 
2022-11-23T01:32:30.4000067Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4000137Z             {
2022-11-23T01:32:30.4000279Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4000506Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4000656Z                 'obj_weakref': None
2022-11-23T01:32:30.4000882Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4000952Z             }
2022-11-23T01:32:30.4001014Z             
2022-11-23T01:32:30.4001089Z  - 
2022-11-23T01:32:30.4001228Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4001299Z             {
2022-11-23T01:32:30.4001426Z                 'guard_types': None,
2022-11-23T01:32:30.4001538Z                 'code': None,
2022-11-23T01:32:30.4001661Z                 'obj_weakref': None
2022-11-23T01:32:30.4001804Z                 'guarded_class': None
2022-11-23T01:32:30.4001878Z             }
2022-11-23T01:32:30.4001967Z             
2022-11-23T01:32:30.4002240Z [2022-11-23 01:27:32,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234
2022-11-23T01:32:30.4002606Z [2022-11-23 01:27:33,734] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rv/crvqqkyg6prt37jy44iitc6j336jgpkkcs2wqd27y6qcx3erexdx.py
2022-11-23T01:32:30.4002878Z [2022-11-23 01:27:33,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234
2022-11-23T01:32:30.4002884Z 
2022-11-23T01:32:30.4002986Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4003060Z import torch
2022-11-23T01:32:30.4003128Z import random
2022-11-23T01:32:30.4003256Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4003384Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4003390Z 
2022-11-23T01:32:30.4003475Z aten = torch.ops.aten
2022-11-23T01:32:30.4003617Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4003721Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4003727Z 
2022-11-23T01:32:30.4003803Z import triton
2022-11-23T01:32:30.4003890Z import triton.language as tl
2022-11-23T01:32:30.4004019Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4004165Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4004170Z 
2022-11-23T01:32:30.4004175Z 
2022-11-23T01:32:30.4004315Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4004527Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4004654Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4004762Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4004865Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:30.4004925Z {
2022-11-23T01:32:30.4005030Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4005098Z     {
2022-11-23T01:32:30.4005183Z         #pragma omp for 
2022-11-23T01:32:30.4005274Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:30.4005344Z         {
2022-11-23T01:32:30.4005412Z             {
2022-11-23T01:32:30.4005475Z                 {
2022-11-23T01:32:30.4005579Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:32:30.4005689Z                     auto tmp0 = static_cast<long>(1);
2022-11-23T01:32:30.4005806Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:30.4005907Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.4006000Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.4006070Z                 }
2022-11-23T01:32:30.4006132Z             }
2022-11-23T01:32:30.4006204Z         }
2022-11-23T01:32:30.4006290Z         #pragma omp single
2022-11-23T01:32:30.4006358Z         {
2022-11-23T01:32:30.4006428Z             {
2022-11-23T01:32:30.4006497Z                 {
2022-11-23T01:32:30.4006601Z                     auto tmp0 = static_cast<long>(5);
2022-11-23T01:32:30.4006736Z                     out_ptr1[0] = tmp0;
2022-11-23T01:32:30.4006808Z                 }
2022-11-23T01:32:30.4006877Z             }
2022-11-23T01:32:30.4006945Z         }
2022-11-23T01:32:30.4007012Z     }
2022-11-23T01:32:30.4007101Z }
2022-11-23T01:32:30.4007182Z ''')
2022-11-23T01:32:30.4007187Z 
2022-11-23T01:32:30.4007192Z 
2022-11-23T01:32:30.4007286Z async_compile.wait(globals())
2022-11-23T01:32:30.4007364Z del async_compile
2022-11-23T01:32:30.4007369Z 
2022-11-23T01:32:30.4007445Z def call(args):
2022-11-23T01:32:30.4007520Z     arg0_1, = args
2022-11-23T01:32:30.4007596Z     args.clear()
2022-11-23T01:32:30.4007792Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4007965Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4008138Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.4008211Z     del arg0_1
2022-11-23T01:32:30.4008294Z     return (buf0, buf1, )
2022-11-23T01:32:30.4008302Z 
2022-11-23T01:32:30.4008307Z 
2022-11-23T01:32:30.4008388Z if __name__ == "__main__":
2022-11-23T01:32:30.4008509Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4008640Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4008839Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4008946Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4008958Z 
2022-11-23T01:32:30.4009024Z ok (1.560s)
2022-11-23T01:32:30.4009326Z   test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4009642Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4009863Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4010118Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4010396Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4010716Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4011054Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4011378Z [2022-11-23 01:27:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4011765Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922> 
2022-11-23T01:32:30.4011879Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4011999Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.4012103Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T01:32:30.4012205Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T01:32:30.4012303Z               8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4012400Z              10 LOAD_CONST               2 (40)
2022-11-23T01:32:30.4012495Z              12 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4012585Z              14 CALL_FUNCTION            3
2022-11-23T01:32:30.4012680Z              16 CALL_FUNCTION            1
2022-11-23T01:32:30.4012775Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4012875Z              20 LOAD_ATTR                4 (device)
2022-11-23T01:32:30.4013032Z              22 LOAD_CONST               3 (('device',))
2022-11-23T01:32:30.4013158Z              24 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4013256Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4013329Z              28 BINARY_ADD
2022-11-23T01:32:30.4013412Z              30 RETURN_VALUE
2022-11-23T01:32:30.4013502Z  
2022-11-23T01:32:30.4013507Z 
2022-11-23T01:32:30.4013823Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923
2022-11-23T01:32:30.4014050Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4014424Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4014754Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4015119Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:30.4015516Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:30.4015944Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:30.4016407Z [2022-11-23 01:27:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4016910Z [2022-11-23 01:27:33,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4017287Z [2022-11-23 01:27:33,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:30.4017622Z [2022-11-23 01:27:33,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4017993Z [2022-11-23 01:27:33,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.4018376Z [2022-11-23 01:27:33,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.4018977Z [2022-11-23 01:27:33,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.4019225Z [2022-11-23 01:27:33,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4019499Z [2022-11-23 01:27:33,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4019750Z [2022-11-23 01:27:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4020116Z [2022-11-23 01:27:33,743] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922>
2022-11-23T01:32:30.4020408Z [2022-11-23 01:27:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4020646Z [2022-11-23 01:27:33,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4020932Z [2022-11-23 01:27:33,744] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4021176Z [2022-11-23 01:27:33,746] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4021370Z [2022-11-23 01:27:33,746] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4021525Z  __compiled_fn_243 <eval_with_key>.1502 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4021634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4021993Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')}
2022-11-23T01:32:30.4022177Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:30.4022278Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.4022287Z 
2022-11-23T01:32:30.4022610Z [2022-11-23 01:27:33,747] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4022704Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4022804Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4022901Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4023001Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4023093Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4023188Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4023271Z              12 RETURN_VALUE
2022-11-23T01:32:30.4023276Z 
2022-11-23T01:32:30.4023342Z  
2022-11-23T01:32:30.4023660Z [2022-11-23 01:27:33,747] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4023777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_243)
2022-11-23T01:32:30.4023878Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4023977Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4024062Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4024155Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4024250Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4024326Z              12 RETURN_VALUE
2022-11-23T01:32:30.4024337Z 
2022-11-23T01:32:30.4024396Z  
2022-11-23T01:32:30.4024582Z [2022-11-23 01:27:33,748] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4024659Z  - 
2022-11-23T01:32:30.4024781Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4024854Z             {
2022-11-23T01:32:30.4025000Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4025188Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4025313Z                 'obj_weakref': None
2022-11-23T01:32:30.4025537Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4025611Z             }
2022-11-23T01:32:30.4025679Z             
2022-11-23T01:32:30.4025755Z  - 
2022-11-23T01:32:30.4025882Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.4025944Z             {
2022-11-23T01:32:30.4026086Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.4026261Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.4026471Z                 'obj_weakref': <weakref at 0x7f2023070f40; to 'Tensor' at 0x7f201e387920>
2022-11-23T01:32:30.4026719Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4026789Z             }
2022-11-23T01:32:30.4026887Z             
2022-11-23T01:32:30.4026964Z  - 
2022-11-23T01:32:30.4027087Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4027157Z             {
2022-11-23T01:32:30.4027306Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4027449Z                 'code': None,
2022-11-23T01:32:30.4027658Z                 'obj_weakref': <weakref at 0x7f2023070f40; to 'Tensor' at 0x7f201e387920>
2022-11-23T01:32:30.4027908Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4027978Z             }
2022-11-23T01:32:30.4028040Z             
2022-11-23T01:32:30.4028115Z  - 
2022-11-23T01:32:30.4028251Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4028320Z             {
2022-11-23T01:32:30.4028461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4028638Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4028763Z                 'obj_weakref': None
2022-11-23T01:32:30.4028992Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4029062Z             }
2022-11-23T01:32:30.4029134Z             
2022-11-23T01:32:30.4029211Z  - 
2022-11-23T01:32:30.4029342Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4029413Z             {
2022-11-23T01:32:30.4029550Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4029773Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4029899Z                 'obj_weakref': None
2022-11-23T01:32:30.4030124Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4030193Z             }
2022-11-23T01:32:30.4030328Z             
2022-11-23T01:32:30.4030431Z  - 
2022-11-23T01:32:30.4030558Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:30.4030628Z             {
2022-11-23T01:32:30.4030756Z                 'guard_types': None,
2022-11-23T01:32:30.4030868Z                 'code': None,
2022-11-23T01:32:30.4030991Z                 'obj_weakref': None
2022-11-23T01:32:30.4031118Z                 'guarded_class': None
2022-11-23T01:32:30.4031190Z             }
2022-11-23T01:32:30.4031252Z             
2022-11-23T01:32:30.4031327Z  - 
2022-11-23T01:32:30.4031465Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:30.4031533Z             {
2022-11-23T01:32:30.4031659Z                 'guard_types': None,
2022-11-23T01:32:30.4031771Z                 'code': None,
2022-11-23T01:32:30.4031894Z                 'obj_weakref': None
2022-11-23T01:32:30.4032013Z                 'guarded_class': None
2022-11-23T01:32:30.4032081Z             }
2022-11-23T01:32:30.4032151Z             
2022-11-23T01:32:30.4032225Z  - 
2022-11-23T01:32:30.4032362Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4032431Z             {
2022-11-23T01:32:30.4032548Z                 'guard_types': None,
2022-11-23T01:32:30.4032666Z                 'code': None,
2022-11-23T01:32:30.4032790Z                 'obj_weakref': None
2022-11-23T01:32:30.4032914Z                 'guarded_class': None
2022-11-23T01:32:30.4032982Z             }
2022-11-23T01:32:30.4033054Z             
2022-11-23T01:32:30.4033318Z [2022-11-23 01:27:33,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235
2022-11-23T01:32:30.4033679Z [2022-11-23 01:27:35,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fh/cfh6ozp52btsx7h4usbstngdcn3it2o3zsxc2q2dgjvc57c22eb7.py
2022-11-23T01:32:30.4033940Z [2022-11-23 01:27:35,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235
2022-11-23T01:32:30.4033953Z 
2022-11-23T01:32:30.4034046Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4034124Z import torch
2022-11-23T01:32:30.4034200Z import random
2022-11-23T01:32:30.4034323Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4034488Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4034494Z 
2022-11-23T01:32:30.4034582Z aten = torch.ops.aten
2022-11-23T01:32:30.4034721Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4034838Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4034843Z 
2022-11-23T01:32:30.4034917Z import triton
2022-11-23T01:32:30.4035010Z import triton.language as tl
2022-11-23T01:32:30.4035138Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4035282Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4035450Z constant0 = None  # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281
2022-11-23T01:32:30.4035456Z 
2022-11-23T01:32:30.4035461Z 
2022-11-23T01:32:30.4035600Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4035810Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4035932Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.4036047Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4036156Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.4036228Z {
2022-11-23T01:32:30.4036330Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4036397Z     {
2022-11-23T01:32:30.4036481Z         #pragma omp for 
2022-11-23T01:32:30.4036564Z         for(long i0=0; i0<19; i0+=1)
2022-11-23T01:32:30.4036633Z         {
2022-11-23T01:32:30.4036703Z             {
2022-11-23T01:32:30.4036772Z                 {
2022-11-23T01:32:30.4036872Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.4036968Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:30.4037084Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:30.4037175Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.4037267Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.4037338Z                 }
2022-11-23T01:32:30.4037410Z             }
2022-11-23T01:32:30.4037477Z         }
2022-11-23T01:32:30.4037543Z     }
2022-11-23T01:32:30.4037602Z }
2022-11-23T01:32:30.4037689Z ''')
2022-11-23T01:32:30.4037694Z 
2022-11-23T01:32:30.4037701Z 
2022-11-23T01:32:30.4037796Z async_compile.wait(globals())
2022-11-23T01:32:30.4037874Z del async_compile
2022-11-23T01:32:30.4037879Z 
2022-11-23T01:32:30.4037954Z def call(args):
2022-11-23T01:32:30.4038029Z     arg0_1, = args
2022-11-23T01:32:30.4038108Z     args.clear()
2022-11-23T01:32:30.4038304Z     buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4038475Z     kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.4038548Z     del arg0_1
2022-11-23T01:32:30.4038623Z     return (buf0, )
2022-11-23T01:32:30.4038629Z 
2022-11-23T01:32:30.4038633Z 
2022-11-23T01:32:30.4038715Z if __name__ == "__main__":
2022-11-23T01:32:30.4038834Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4038967Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4039168Z     constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4039365Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4039472Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4039477Z 
2022-11-23T01:32:30.4039553Z ok (1.550s)
2022-11-23T01:32:30.4039858Z   test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:35,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4040170Z [2022-11-23 01:27:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4040393Z [2022-11-23 01:27:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4040678Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4040958Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4041274Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4041663Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4042026Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4042390Z [2022-11-23 01:27:35,289] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928> 
2022-11-23T01:32:30.4042495Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4042597Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.4042691Z               4 BUILD_LIST               0
2022-11-23T01:32:30.4042788Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4042890Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.4043043Z              10 LOAD_CONST               1 (('device',))
2022-11-23T01:32:30.4043133Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4043146Z 
2022-11-23T01:32:30.4043239Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4043338Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.4043434Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4043529Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4043622Z              22 BUILD_LIST               2
2022-11-23T01:32:30.4043716Z              24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4043816Z              26 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.4043963Z              28 LOAD_CONST               1 (('device',))
2022-11-23T01:32:30.4044058Z              30 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4044154Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4044234Z              34 BINARY_ADD
2022-11-23T01:32:30.4044239Z 
2022-11-23T01:32:30.4044339Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4044435Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.4044528Z              40 BUILD_LIST               0
2022-11-23T01:32:30.4044624Z              42 LOAD_CONST               4 ((1, 2, 3))
2022-11-23T01:32:30.4044716Z              44 LIST_EXTEND              1
2022-11-23T01:32:30.4044815Z              46 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4044913Z              48 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.4045067Z              50 LOAD_CONST               1 (('device',))
2022-11-23T01:32:30.4045165Z              52 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4045260Z              54 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4045332Z              56 BINARY_ADD
2022-11-23T01:32:30.4045345Z 
2022-11-23T01:32:30.4045440Z 933          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4045535Z              60 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:30.4045627Z              62 BUILD_LIST               0
2022-11-23T01:32:30.4045730Z              64 LOAD_CONST               5 ((1, 2, 3, 4))
2022-11-23T01:32:30.4045823Z              66 LIST_EXTEND              1
2022-11-23T01:32:30.4045918Z              68 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4046015Z              70 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.4046160Z              72 LOAD_CONST               1 (('device',))
2022-11-23T01:32:30.4046256Z              74 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4046349Z              76 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4046454Z              78 BINARY_ADD
2022-11-23T01:32:30.4046460Z 
2022-11-23T01:32:30.4046553Z 929          80 BUILD_TUPLE              4
2022-11-23T01:32:30.4046634Z              82 RETURN_VALUE
2022-11-23T01:32:30.4046701Z  
2022-11-23T01:32:30.4046728Z 
2022-11-23T01:32:30.4047040Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930
2022-11-23T01:32:30.4047254Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4047614Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4047933Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4048276Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4048649Z [2022-11-23 01:27:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.4049034Z [2022-11-23 01:27:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.4049449Z [2022-11-23 01:27:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.4049761Z [2022-11-23 01:27:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931
2022-11-23T01:32:30.4050016Z [2022-11-23 01:27:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.4050400Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4050745Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4051119Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.4051531Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4051924Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4052339Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.4052745Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.4053186Z [2022-11-23 01:27:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.4053489Z [2022-11-23 01:27:35,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4053800Z [2022-11-23 01:27:35,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4054138Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932
2022-11-23T01:32:30.4054415Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4054835Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4055211Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4055607Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4056039Z [2022-11-23 01:27:35,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.4056429Z [2022-11-23 01:27:35,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4056855Z [2022-11-23 01:27:35,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.4057287Z [2022-11-23 01:27:35,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.4057759Z [2022-11-23 01:27:35,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.4058046Z [2022-11-23 01:27:35,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4058377Z [2022-11-23 01:27:35,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4058686Z [2022-11-23 01:27:35,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933
2022-11-23T01:32:30.4059107Z [2022-11-23 01:27:35,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4059548Z [2022-11-23 01:27:35,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4059943Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4060416Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4060881Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.4061328Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4061779Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:30.4062241Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:30.4062741Z [2022-11-23 01:27:35,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.4063057Z [2022-11-23 01:27:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4063403Z [2022-11-23 01:27:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4063711Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929
2022-11-23T01:32:30.4064030Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4064276Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4064645Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928>
2022-11-23T01:32:30.4064890Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4065125Z [2022-11-23 01:27:35,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4065384Z [2022-11-23 01:27:35,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4065636Z [2022-11-23 01:27:35,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4065827Z [2022-11-23 01:27:35,305] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4065971Z  __compiled_fn_244 <eval_with_key>.1508 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4066068Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4066328Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([],), {'device': device(type='cpu')}
2022-11-23T01:32:30.4066600Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2],), {'device': device(type='cpu')}
2022-11-23T01:32:30.4066782Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T01:32:30.4067057Z call_function, tensor_2, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3],), {'device': device(type='cpu')}
2022-11-23T01:32:30.4067268Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T01:32:30.4067550Z call_function, tensor_3, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3, 4],), {'device': device(type='cpu')}
2022-11-23T01:32:30.4067769Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T01:32:30.4067895Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T01:32:30.4067901Z 
2022-11-23T01:32:30.4068226Z [2022-11-23 01:27:35,306] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4068322Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4068424Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4068519Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4068620Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4068711Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4068809Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4068891Z              12 RETURN_VALUE
2022-11-23T01:32:30.4068897Z 
2022-11-23T01:32:30.4068956Z  
2022-11-23T01:32:30.4069281Z [2022-11-23 01:27:35,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4069403Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_244)
2022-11-23T01:32:30.4069503Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4069600Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4069682Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4069776Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4069889Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4069994Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4070090Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4070176Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4070349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4070460Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4070557Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4070666Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4070754Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4070837Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4070944Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4071040Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4071121Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4071218Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.4071299Z              38 RETURN_VALUE
2022-11-23T01:32:30.4071305Z 
2022-11-23T01:32:30.4071364Z  
2022-11-23T01:32:30.4071557Z [2022-11-23 01:27:35,307] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4071633Z  - 
2022-11-23T01:32:30.4071761Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4071831Z             {
2022-11-23T01:32:30.4071977Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4072170Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4072291Z                 'obj_weakref': None
2022-11-23T01:32:30.4072519Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4072589Z             }
2022-11-23T01:32:30.4072660Z             
2022-11-23T01:32:30.4072738Z  - 
2022-11-23T01:32:30.4072864Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.4072934Z             {
2022-11-23T01:32:30.4073069Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.4073244Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.4073454Z                 'obj_weakref': <weakref at 0x7f2068294a90; to 'Tensor' at 0x7f2068242fc0>
2022-11-23T01:32:30.4073740Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4073811Z             }
2022-11-23T01:32:30.4073880Z             
2022-11-23T01:32:30.4073979Z  - 
2022-11-23T01:32:30.4074103Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4074172Z             {
2022-11-23T01:32:30.4074321Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4074437Z                 'code': None,
2022-11-23T01:32:30.4074645Z                 'obj_weakref': <weakref at 0x7f2068294a90; to 'Tensor' at 0x7f2068242fc0>
2022-11-23T01:32:30.4074893Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4074963Z             }
2022-11-23T01:32:30.4075032Z             
2022-11-23T01:32:30.4075101Z  - 
2022-11-23T01:32:30.4075237Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4075307Z             {
2022-11-23T01:32:30.4075452Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4075628Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4075754Z                 'obj_weakref': None
2022-11-23T01:32:30.4075984Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4076053Z             }
2022-11-23T01:32:30.4076121Z             
2022-11-23T01:32:30.4076196Z  - 
2022-11-23T01:32:30.4076324Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4076393Z             {
2022-11-23T01:32:30.4076538Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4076753Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4076876Z                 'obj_weakref': None
2022-11-23T01:32:30.4077100Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4077170Z             }
2022-11-23T01:32:30.4077241Z             
2022-11-23T01:32:30.4077318Z  - 
2022-11-23T01:32:30.4077456Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4077518Z             {
2022-11-23T01:32:30.4077642Z                 'guard_types': None,
2022-11-23T01:32:30.4077759Z                 'code': None,
2022-11-23T01:32:30.4077881Z                 'obj_weakref': None
2022-11-23T01:32:30.4078011Z                 'guarded_class': None
2022-11-23T01:32:30.4078081Z             }
2022-11-23T01:32:30.4078149Z             
2022-11-23T01:32:30.4078402Z [2022-11-23 01:27:35,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236
2022-11-23T01:32:30.4078768Z [2022-11-23 01:27:36,855] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjrdc7xk3cxwpol2ivpzfs3qoasgabhgyuf33pvo5yoxlmazxyrh.py
2022-11-23T01:32:30.4079033Z [2022-11-23 01:27:36,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236
2022-11-23T01:32:30.4079038Z 
2022-11-23T01:32:30.4079141Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4079217Z import torch
2022-11-23T01:32:30.4079291Z import random
2022-11-23T01:32:30.4079414Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4079544Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4079549Z 
2022-11-23T01:32:30.4079626Z aten = torch.ops.aten
2022-11-23T01:32:30.4079766Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4079866Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4079872Z 
2022-11-23T01:32:30.4079947Z import triton
2022-11-23T01:32:30.4080043Z import triton.language as tl
2022-11-23T01:32:30.4080170Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4080315Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4080321Z 
2022-11-23T01:32:30.4080326Z 
2022-11-23T01:32:30.4080463Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4080701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4080831Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4080935Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:30.4081065Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:30.4081170Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.4081238Z {
2022-11-23T01:32:30.4081323Z     #pragma GCC ivdep
2022-11-23T01:32:30.4081404Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.4081472Z     {
2022-11-23T01:32:30.4081540Z         {
2022-11-23T01:32:30.4081609Z             {
2022-11-23T01:32:30.4081725Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:30.4081848Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:30.4081960Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.4082065Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:32:30.4082171Z                 auto tmp4 = tmp2 ? tmp1 : tmp3;
2022-11-23T01:32:30.4082269Z                 auto tmp5 = tmp4 + tmp1;
2022-11-23T01:32:30.4082358Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:32:30.4082427Z             }
2022-11-23T01:32:30.4082495Z         }
2022-11-23T01:32:30.4082566Z     }
2022-11-23T01:32:30.4082641Z     #pragma GCC ivdep
2022-11-23T01:32:30.4082731Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:30.4082796Z     {
2022-11-23T01:32:30.4082865Z         {
2022-11-23T01:32:30.4082935Z             {
2022-11-23T01:32:30.4083040Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:30.4083142Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:30.4083230Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.4083334Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:32:30.4083426Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:30.4083529Z                 auto tmp5 = static_cast<long>(3);
2022-11-23T01:32:30.4083631Z                 auto tmp6 = tmp4 ? tmp3 : tmp5;
2022-11-23T01:32:30.4083736Z                 auto tmp7 = tmp2 ? tmp1 : tmp6;
2022-11-23T01:32:30.4083828Z                 auto tmp8 = tmp7 + tmp3;
2022-11-23T01:32:30.4083909Z                 out_ptr1[i0] = tmp8;
2022-11-23T01:32:30.4083981Z             }
2022-11-23T01:32:30.4084049Z         }
2022-11-23T01:32:30.4084115Z     }
2022-11-23T01:32:30.4084196Z     #pragma GCC ivdep
2022-11-23T01:32:30.4084283Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.4084343Z     {
2022-11-23T01:32:30.4084412Z         {
2022-11-23T01:32:30.4084481Z             {
2022-11-23T01:32:30.4084575Z                 auto tmp12 = in_ptr0[i0];
2022-11-23T01:32:30.4084683Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:30.4084787Z                 auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:30.4084880Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.4084977Z                 auto tmp3 = static_cast<long>(1);
2022-11-23T01:32:30.4085069Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:30.4085176Z                 auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:30.4085280Z                 auto tmp6 = static_cast<long>(3);
2022-11-23T01:32:30.4085373Z                 auto tmp7 = tmp0 < tmp6;
2022-11-23T01:32:30.4085480Z                 auto tmp8 = static_cast<long>(4);
2022-11-23T01:32:30.4085581Z                 auto tmp9 = tmp7 ? tmp6 : tmp8;
2022-11-23T01:32:30.4085678Z                 auto tmp10 = tmp2 ? tmp5 : tmp9;
2022-11-23T01:32:30.4085793Z                 auto tmp11 = static_cast<float>(tmp10);
2022-11-23T01:32:30.4085890Z                 auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:30.4085982Z                 out_ptr2[i0] = tmp13;
2022-11-23T01:32:30.4086051Z             }
2022-11-23T01:32:30.4086119Z         }
2022-11-23T01:32:30.4086186Z     }
2022-11-23T01:32:30.4086245Z }
2022-11-23T01:32:30.4086335Z ''')
2022-11-23T01:32:30.4086341Z 
2022-11-23T01:32:30.4086345Z 
2022-11-23T01:32:30.4086440Z async_compile.wait(globals())
2022-11-23T01:32:30.4086519Z del async_compile
2022-11-23T01:32:30.4086556Z 
2022-11-23T01:32:30.4086633Z def call(args):
2022-11-23T01:32:30.4086710Z     arg0_1, = args
2022-11-23T01:32:30.4086787Z     args.clear()
2022-11-23T01:32:30.4086988Z     buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4087194Z     buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4087382Z     buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4087577Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4087772Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.4087846Z     del arg0_1
2022-11-23T01:32:30.4087940Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.4087946Z 
2022-11-23T01:32:30.4087950Z 
2022-11-23T01:32:30.4088033Z if __name__ == "__main__":
2022-11-23T01:32:30.4088152Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4088279Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4088475Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4088593Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4088598Z 
2022-11-23T01:32:30.4088671Z ok (1.571s)
2022-11-23T01:32:30.4088998Z   test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4089315Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4089535Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4089788Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4090062Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4090380Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4090730Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4091049Z [2022-11-23 01:27:36,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4091422Z [2022-11-23 01:27:36,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382> 
2022-11-23T01:32:30.4091527Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4091631Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4091732Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4091853Z                6 LOAD_ATTR                3 (var)
2022-11-23T01:32:30.4091966Z                8 LOAD_ATTR                4 (default)
2022-11-23T01:32:30.4091973Z 
2022-11-23T01:32:30.4092109Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T01:32:30.4092208Z               12 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4092305Z               14 BUILD_LIST               1
2022-11-23T01:32:30.4092402Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4092407Z 
2022-11-23T01:32:30.4092572Z 4390          18 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:30.4092669Z               20 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.4092776Z               22 STORE_FAST               6 (var_default)
2022-11-23T01:32:30.4092782Z 
2022-11-23T01:32:30.4092886Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4093006Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4093108Z               28 LOAD_ATTR                5 (aten)
2022-11-23T01:32:30.4093204Z               30 LOAD_ATTR                6 (sub)
2022-11-23T01:32:30.4093328Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:30.4093435Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T01:32:30.4093544Z               36 LOAD_FAST                4 (div_default)
2022-11-23T01:32:30.4093638Z               38 CALL_METHOD              2
2022-11-23T01:32:30.4093736Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T01:32:30.4093748Z 
2022-11-23T01:32:30.4093841Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4093938Z               44 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4094035Z               46 LOAD_ATTR                5 (aten)
2022-11-23T01:32:30.4094133Z               48 LOAD_ATTR                8 (mul)
2022-11-23T01:32:30.4094238Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:30.4094345Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T01:32:30.4094464Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T01:32:30.4094556Z               56 CALL_METHOD              2
2022-11-23T01:32:30.4094666Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T01:32:30.4094672Z 
2022-11-23T01:32:30.4094772Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4094874Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4094972Z               64 LOAD_ATTR                5 (aten)
2022-11-23T01:32:30.4095066Z               66 LOAD_ATTR                8 (mul)
2022-11-23T01:32:30.4095169Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:30.4095269Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T01:32:30.4095376Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T01:32:30.4095475Z               74 CALL_METHOD              2
2022-11-23T01:32:30.4095582Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T01:32:30.4095588Z 
2022-11-23T01:32:30.4095687Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4095787Z               80 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4095884Z               82 LOAD_ATTR                5 (aten)
2022-11-23T01:32:30.4095979Z               84 LOAD_ATTR                9 (add)
2022-11-23T01:32:30.4096074Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:30.4096180Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T01:32:30.4096289Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T01:32:30.4096384Z               92 CALL_METHOD              2
2022-11-23T01:32:30.4096490Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T01:32:30.4096495Z 
2022-11-23T01:32:30.4096594Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4096693Z               98 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4096794Z              100 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4096906Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:30.4097016Z              104 LOAD_METHOD              4 (default)
2022-11-23T01:32:30.4097021Z 
2022-11-23T01:32:30.4097127Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T01:32:30.4097227Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4097328Z              110 LOAD_ATTR               11 (float32)
2022-11-23T01:32:30.4097334Z 
2022-11-23T01:32:30.4097428Z 4398         112 CALL_METHOD              2
2022-11-23T01:32:30.4097433Z 
2022-11-23T01:32:30.4097566Z 4397         114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T01:32:30.4097571Z 
2022-11-23T01:32:30.4097669Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4097797Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4097898Z              120 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4098018Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:30.4098141Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:30.4098146Z 
2022-11-23T01:32:30.4098276Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T01:32:30.4098373Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4098473Z              130 LOAD_ATTR               11 (float32)
2022-11-23T01:32:30.4098478Z 
2022-11-23T01:32:30.4098572Z 4403         132 CALL_METHOD              2
2022-11-23T01:32:30.4098577Z 
2022-11-23T01:32:30.4098704Z 4402         134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T01:32:30.4098709Z 
2022-11-23T01:32:30.4098926Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4099026Z              138 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4099129Z              140 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4099224Z              142 LOAD_ATTR                3 (var)
2022-11-23T01:32:30.4099323Z              144 LOAD_ATTR                4 (default)
2022-11-23T01:32:30.4099332Z 
2022-11-23T01:32:30.4099462Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:30.4099562Z              148 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4099656Z              150 BUILD_LIST               1
2022-11-23T01:32:30.4099744Z              152 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4099749Z 
2022-11-23T01:32:30.4099921Z 4407         154 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:30.4100019Z              156 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.4100129Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T01:32:30.4100134Z 
2022-11-23T01:32:30.4100231Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4100330Z              162 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4100428Z              164 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4100540Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T01:32:30.4100639Z              168 LOAD_METHOD              4 (default)
2022-11-23T01:32:30.4100644Z 
2022-11-23T01:32:30.4100752Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T01:32:30.4100848Z              172 BUILD_LIST               0
2022-11-23T01:32:30.4100951Z              174 LOAD_CONST               4 ((1, 512, 1))
2022-11-23T01:32:30.4101045Z              176 LIST_EXTEND              1
2022-11-23T01:32:30.4101142Z              178 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4101235Z              180 LOAD_CONST               5 (1)
2022-11-23T01:32:30.4101321Z              182 BUILD_LIST               2
2022-11-23T01:32:30.4101333Z 
2022-11-23T01:32:30.4101418Z 4410         184 CALL_METHOD              3
2022-11-23T01:32:30.4101547Z              186 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T01:32:30.4101552Z 
2022-11-23T01:32:30.4101651Z 4413         188 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4101749Z              190 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4101851Z              192 LOAD_ATTR                2 (prims)
2022-11-23T01:32:30.4101948Z              194 LOAD_ATTR               13 (sum)
2022-11-23T01:32:30.4102050Z              196 LOAD_METHOD              4 (default)
2022-11-23T01:32:30.4102055Z 
2022-11-23T01:32:30.4102187Z 4414         198 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:30.4102276Z              200 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4102369Z              202 BUILD_LIST               1
2022-11-23T01:32:30.4102374Z 
2022-11-23T01:32:30.4102467Z 4413         204 CALL_METHOD              2
2022-11-23T01:32:30.4102577Z              206 STORE_FAST              15 (sum_default_1)
2022-11-23T01:32:30.4102582Z 
2022-11-23T01:32:30.4102730Z 4416         208 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4102829Z              210 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4102926Z              212 LOAD_ATTR                5 (aten)
2022-11-23T01:32:30.4103048Z              214 LOAD_ATTR                9 (add)
2022-11-23T01:32:30.4103142Z              216 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:30.4103266Z              218 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T01:32:30.4103417Z              220 LOAD_CONST               6 (1e-05)
2022-11-23T01:32:30.4103510Z              222 CALL_METHOD              2
2022-11-23T01:32:30.4103618Z              224 STORE_FAST              16 (add_tensor_3)
2022-11-23T01:32:30.4103623Z 
2022-11-23T01:32:30.4103731Z 4417         226 LOAD_FAST                6 (var_default)
2022-11-23T01:32:30.4103838Z              228 LOAD_FAST               15 (sum_default_1)
2022-11-23T01:32:30.4103939Z              230 LOAD_FAST               16 (add_tensor_3)
2022-11-23T01:32:30.4104037Z              232 BUILD_TUPLE              3
2022-11-23T01:32:30.4104121Z              234 RETURN_VALUE
2022-11-23T01:32:30.4104186Z  
2022-11-23T01:32:30.4104191Z 
2022-11-23T01:32:30.4104510Z [2022-11-23 01:27:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:30.4104735Z [2022-11-23 01:27:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4105095Z [2022-11-23 01:27:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4105389Z [2022-11-23 01:27:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4105695Z [2022-11-23 01:27:36,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4105949Z [2022-11-23 01:27:36,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:30.4106259Z [2022-11-23 01:27:36,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391
2022-11-23T01:32:30.4106566Z [2022-11-23 01:27:36,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T01:32:30.4106858Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:30.4107185Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4107497Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.4107802Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:30.4108174Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4108569Z [2022-11-23 01:27:36,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.4108823Z [2022-11-23 01:27:36,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T01:32:30.4109130Z [2022-11-23 01:27:36,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393
2022-11-23T01:32:30.4109376Z [2022-11-23 01:27:36,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4109724Z [2022-11-23 01:27:36,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4110035Z [2022-11-23 01:27:36,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4110406Z [2022-11-23 01:27:36,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4110699Z [2022-11-23 01:27:36,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:32:30.4111008Z [2022-11-23 01:27:36,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:32:30.4111309Z [2022-11-23 01:27:36,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:32:30.4111628Z [2022-11-23 01:27:36,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4111885Z [2022-11-23 01:27:36,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T01:32:30.4112200Z [2022-11-23 01:27:36,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394
2022-11-23T01:32:30.4112415Z [2022-11-23 01:27:36,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4112759Z [2022-11-23 01:27:36,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4113054Z [2022-11-23 01:27:36,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4113353Z [2022-11-23 01:27:36,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4113611Z [2022-11-23 01:27:36,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:30.4113884Z [2022-11-23 01:27:36,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:30.4114202Z [2022-11-23 01:27:36,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:30.4114522Z [2022-11-23 01:27:36,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4114778Z [2022-11-23 01:27:36,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T01:32:30.4115089Z [2022-11-23 01:27:36,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395
2022-11-23T01:32:30.4115310Z [2022-11-23 01:27:36,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4115665Z [2022-11-23 01:27:36,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4115948Z [2022-11-23 01:27:36,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4116250Z [2022-11-23 01:27:36,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4116535Z [2022-11-23 01:27:36,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:30.4116813Z [2022-11-23 01:27:36,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:30.4117136Z [2022-11-23 01:27:36,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:30.4117459Z [2022-11-23 01:27:36,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4117716Z [2022-11-23 01:27:36,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T01:32:30.4118028Z [2022-11-23 01:27:36,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396
2022-11-23T01:32:30.4118247Z [2022-11-23 01:27:36,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4118608Z [2022-11-23 01:27:36,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4118893Z [2022-11-23 01:27:36,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4119192Z [2022-11-23 01:27:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4119454Z [2022-11-23 01:27:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:30.4119731Z [2022-11-23 01:27:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:30.4120034Z [2022-11-23 01:27:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:30.4120360Z [2022-11-23 01:27:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4120616Z [2022-11-23 01:27:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T01:32:30.4120931Z [2022-11-23 01:27:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:30.4121155Z [2022-11-23 01:27:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4121516Z [2022-11-23 01:27:36,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4121842Z [2022-11-23 01:27:36,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4122183Z [2022-11-23 01:27:37,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4122469Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:30.4122778Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399
2022-11-23T01:32:30.4123088Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:30.4123417Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:30.4123918Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4124233Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:30.4124624Z [2022-11-23 01:27:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:30.4124929Z [2022-11-23 01:27:37,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397
2022-11-23T01:32:30.4125209Z [2022-11-23 01:27:37,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T01:32:30.4125514Z [2022-11-23 01:27:37,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:30.4125733Z [2022-11-23 01:27:37,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4126081Z [2022-11-23 01:27:37,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4126380Z [2022-11-23 01:27:37,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4126709Z [2022-11-23 01:27:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4126997Z [2022-11-23 01:27:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:30.4127311Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404
2022-11-23T01:32:30.4127644Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:30.4127973Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:30.4128442Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4128753Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:30.4129116Z [2022-11-23 01:27:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:30.4129428Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402
2022-11-23T01:32:30.4129713Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T01:32:30.4130007Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:30.4130226Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4130582Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4130905Z [2022-11-23 01:27:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4131215Z [2022-11-23 01:27:37,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4131502Z [2022-11-23 01:27:37,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:30.4131837Z [2022-11-23 01:27:37,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408
2022-11-23T01:32:30.4132173Z [2022-11-23 01:27:37,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T01:32:30.4132471Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:30.4132804Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4133122Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.4133429Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:30.4133805Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4134210Z [2022-11-23 01:27:37,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.4134476Z [2022-11-23 01:27:37,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T01:32:30.4134787Z [2022-11-23 01:27:37,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:30.4135014Z [2022-11-23 01:27:37,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4135371Z [2022-11-23 01:27:37,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4135667Z [2022-11-23 01:27:37,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4135995Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4136281Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T01:32:30.4136587Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411
2022-11-23T01:32:30.4136880Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T01:32:30.4137191Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T01:32:30.4137531Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.4137901Z [2022-11-23 01:27:37,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.4138260Z [2022-11-23 01:27:37,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.4138646Z [2022-11-23 01:27:37,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4139266Z [2022-11-23 01:27:37,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4139574Z [2022-11-23 01:27:37,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:30.4139934Z [2022-11-23 01:27:37,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.4140208Z [2022-11-23 01:27:37,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T01:32:30.4140517Z [2022-11-23 01:27:37,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:30.4140739Z [2022-11-23 01:27:37,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4141091Z [2022-11-23 01:27:37,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4141382Z [2022-11-23 01:27:37,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4141685Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:30.4141944Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T01:32:30.4142257Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414
2022-11-23T01:32:30.4142568Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T01:32:30.4142857Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T01:32:30.4143183Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4143488Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:30.4143805Z [2022-11-23 01:27:37,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.4144061Z [2022-11-23 01:27:37,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:30.4144360Z [2022-11-23 01:27:37,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416
2022-11-23T01:32:30.4144583Z [2022-11-23 01:27:37,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4144940Z [2022-11-23 01:27:37,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4145324Z [2022-11-23 01:27:37,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4145629Z [2022-11-23 01:27:37,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4145926Z [2022-11-23 01:27:37,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:30.4146226Z [2022-11-23 01:27:37,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:30.4146523Z [2022-11-23 01:27:37,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:30.4146853Z [2022-11-23 01:27:37,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.4147106Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T01:32:30.4147415Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417
2022-11-23T01:32:30.4147638Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T01:32:30.4147888Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:30.4148167Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4148465Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4148715Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4149101Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382>
2022-11-23T01:32:30.4149349Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4149590Z [2022-11-23 01:27:37,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4149847Z [2022-11-23 01:27:37,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4150101Z [2022-11-23 01:27:37,055] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4150350Z [2022-11-23 01:27:37,055] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4150510Z  __compiled_fn_245 <eval_with_key>.1514 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4150620Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4150713Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.4150809Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.4150900Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:30.4150989Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:30.4151072Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:30.4151289Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T01:32:30.4151424Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T01:32:30.4151568Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T01:32:30.4151710Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T01:32:30.4151849Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T01:32:30.4152044Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T01:32:30.4152290Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T01:32:30.4152542Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T01:32:30.4152724Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T01:32:30.4152914Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T01:32:30.4153136Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T01:32:30.4153285Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T01:32:30.4153291Z 
2022-11-23T01:32:30.4153622Z [2022-11-23 01:27:37,055] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4153724Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4153824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4153924Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4154018Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4154111Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4154209Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4154294Z              12 RETURN_VALUE
2022-11-23T01:32:30.4154299Z 
2022-11-23T01:32:30.4154365Z  
2022-11-23T01:32:30.4154693Z [2022-11-23 01:27:37,056] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4154811Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_245)
2022-11-23T01:32:30.4154903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4155000Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4155087Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4155184Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4155282Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4155369Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.4155464Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4155551Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4155636Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.4155729Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4155825Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4155906Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.4155999Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4156091Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:30.4156166Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.4156260Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4156357Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:30.4156443Z              36 BINARY_SUBSCR
2022-11-23T01:32:30.4156539Z              38 CALL_FUNCTION            6
2022-11-23T01:32:30.4156658Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4156771Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4156867Z              44 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4156944Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.4157054Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4157150Z              50 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4157231Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.4157340Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4157435Z              56 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4157516Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.4157603Z              60 BUILD_TUPLE              3
2022-11-23T01:32:30.4157686Z              62 RETURN_VALUE
2022-11-23T01:32:30.4157691Z 
2022-11-23T01:32:30.4157758Z  
2022-11-23T01:32:30.4157947Z [2022-11-23 01:27:37,057] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4158057Z  - 
2022-11-23T01:32:30.4158185Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4158255Z             {
2022-11-23T01:32:30.4158396Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4158612Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:30.4158740Z                 'obj_weakref': None
2022-11-23T01:32:30.4158970Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4159041Z             }
2022-11-23T01:32:30.4159111Z             
2022-11-23T01:32:30.4159188Z  - 
2022-11-23T01:32:30.4159312Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4159382Z             {
2022-11-23T01:32:30.4159533Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4159647Z                 'code': None,
2022-11-23T01:32:30.4159864Z                 'obj_weakref': <weakref at 0x7f2115980450; to 'Tensor' at 0x7f2127a0e750>
2022-11-23T01:32:30.4160121Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4160193Z             }
2022-11-23T01:32:30.4160257Z             
2022-11-23T01:32:30.4160337Z  - 
2022-11-23T01:32:30.4160468Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.4160538Z             {
2022-11-23T01:32:30.4160686Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4160800Z                 'code': None,
2022-11-23T01:32:30.4161009Z                 'obj_weakref': <weakref at 0x7f20682425c0; to 'Tensor' at 0x7f2115b4e980>
2022-11-23T01:32:30.4161246Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4161317Z             }
2022-11-23T01:32:30.4161388Z             
2022-11-23T01:32:30.4161465Z  - 
2022-11-23T01:32:30.4161592Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.4161662Z             {
2022-11-23T01:32:30.4161836Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4161952Z                 'code': None,
2022-11-23T01:32:30.4162174Z                 'obj_weakref': <weakref at 0x7f2068243b00; to 'Tensor' at 0x7f2115b4d3a0>
2022-11-23T01:32:30.4162426Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4162496Z             }
2022-11-23T01:32:30.4162567Z             
2022-11-23T01:32:30.4162644Z  - 
2022-11-23T01:32:30.4162771Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.4162833Z             {
2022-11-23T01:32:30.4162980Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4163093Z                 'code': None,
2022-11-23T01:32:30.4163302Z                 'obj_weakref': <weakref at 0x7f2022eeb9c0; to 'Tensor' at 0x7f206826e4d0>
2022-11-23T01:32:30.4163545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4163616Z             }
2022-11-23T01:32:30.4163689Z             
2022-11-23T01:32:30.4163759Z  - 
2022-11-23T01:32:30.4163886Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:30.4163955Z             {
2022-11-23T01:32:30.4164105Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4164218Z                 'code': None,
2022-11-23T01:32:30.4164429Z                 'obj_weakref': <weakref at 0x7f2022eeb420; to 'Tensor' at 0x7f2023354040>
2022-11-23T01:32:30.4164670Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4164733Z             }
2022-11-23T01:32:30.4164803Z             
2022-11-23T01:32:30.4164880Z  - 
2022-11-23T01:32:30.4165007Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:30.4165077Z             {
2022-11-23T01:32:30.4165223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4165338Z                 'code': None,
2022-11-23T01:32:30.4165571Z                 'obj_weakref': <weakref at 0x7f2022ee9030; to 'Tensor' at 0x7f2023140180>
2022-11-23T01:32:30.4165826Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4165920Z             }
2022-11-23T01:32:30.4165993Z             
2022-11-23T01:32:30.4166069Z  - 
2022-11-23T01:32:30.4166208Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4166278Z             {
2022-11-23T01:32:30.4166412Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4166588Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4166714Z                 'obj_weakref': None
2022-11-23T01:32:30.4166946Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4167018Z             }
2022-11-23T01:32:30.4167088Z             
2022-11-23T01:32:30.4167164Z  - 
2022-11-23T01:32:30.4167284Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4167353Z             {
2022-11-23T01:32:30.4167497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4167722Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4167849Z                 'obj_weakref': None
2022-11-23T01:32:30.4168077Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4168147Z             }
2022-11-23T01:32:30.4168209Z             
2022-11-23T01:32:30.4168286Z  - 
2022-11-23T01:32:30.4168424Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4168493Z             {
2022-11-23T01:32:30.4168621Z                 'guard_types': None,
2022-11-23T01:32:30.4168735Z                 'code': None,
2022-11-23T01:32:30.4168859Z                 'obj_weakref': None
2022-11-23T01:32:30.4168980Z                 'guarded_class': None
2022-11-23T01:32:30.4169050Z             }
2022-11-23T01:32:30.4169119Z             
2022-11-23T01:32:30.4169195Z  - 
2022-11-23T01:32:30.4169353Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:30.4169424Z             {
2022-11-23T01:32:30.4169572Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4169748Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:30.4169876Z                 'obj_weakref': None
2022-11-23T01:32:30.4170105Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.4170176Z             }
2022-11-23T01:32:30.4170245Z             
2022-11-23T01:32:30.4170511Z [2022-11-23 01:27:37,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237
2022-11-23T01:32:30.4170517Z 
2022-11-23T01:32:30.4170616Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4170685Z import torch
2022-11-23T01:32:30.4170761Z import random
2022-11-23T01:32:30.4170884Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4171014Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4171021Z 
2022-11-23T01:32:30.4171105Z aten = torch.ops.aten
2022-11-23T01:32:30.4171247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4171349Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4171357Z 
2022-11-23T01:32:30.4171433Z import triton
2022-11-23T01:32:30.4171520Z import triton.language as tl
2022-11-23T01:32:30.4171647Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4171804Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4171811Z 
2022-11-23T01:32:30.4171817Z 
2022-11-23T01:32:30.4171975Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4172201Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4172326Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.4172438Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.4172591Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4172698Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4172808Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.4172943Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:30.4173051Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:30.4173159Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:32:30.4173264Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4173366Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.4173462Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.4173565Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:30.4173634Z {
2022-11-23T01:32:30.4173728Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:30.4173819Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:32:30.4173924Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4174000Z     {
2022-11-23T01:32:30.4174077Z         #pragma omp for 
2022-11-23T01:32:30.4174169Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:30.4174238Z         {
2022-11-23T01:32:30.4174310Z             {
2022-11-23T01:32:30.4174517Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.4174603Z                 float tmp1 = 0;
2022-11-23T01:32:30.4174732Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.4174823Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.4174896Z                 {
2022-11-23T01:32:30.4175050Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:32:30.4175139Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.4175212Z                 }
2022-11-23T01:32:30.4175420Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.4175549Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.4175649Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:30.4175716Z                 {
2022-11-23T01:32:30.4175826Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:30.4175911Z                     tmp1 += tmp0;
2022-11-23T01:32:30.4175983Z                 }
2022-11-23T01:32:30.4176073Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.4176143Z             }
2022-11-23T01:32:30.4176214Z         }
2022-11-23T01:32:30.4176290Z         #pragma omp for 
2022-11-23T01:32:30.4176381Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:30.4176451Z         {
2022-11-23T01:32:30.4176520Z             {
2022-11-23T01:32:30.4176717Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.4176803Z                 float tmp6 = 0;
2022-11-23T01:32:30.4176934Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.4177023Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.4177094Z                 {
2022-11-23T01:32:30.4177252Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:32:30.4177387Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.4177534Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:30.4177635Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.4177782Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.4177880Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.4177962Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.4178033Z                 }
2022-11-23T01:32:30.4178268Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.4178399Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T01:32:30.4178500Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:30.4178594Z                 {
2022-11-23T01:32:30.4178704Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:30.4178923Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:30.4179033Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:32:30.4179132Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.4179275Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.4179371Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.4179458Z                     tmp6 += tmp5;
2022-11-23T01:32:30.4179531Z                 }
2022-11-23T01:32:30.4179618Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.4179681Z             }
2022-11-23T01:32:30.4179750Z         }
2022-11-23T01:32:30.4179836Z         #pragma omp for 
2022-11-23T01:32:30.4179927Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:30.4179997Z         {
2022-11-23T01:32:30.4180065Z             {
2022-11-23T01:32:30.4180260Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.4180344Z                 float tmp9 = 0;
2022-11-23T01:32:30.4180473Z                 auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T01:32:30.4180572Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.4180642Z                 {
2022-11-23T01:32:30.4180796Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (1024*i0));
2022-11-23T01:32:30.4180930Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:30.4181062Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:30.4181209Z                     auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i1);
2022-11-23T01:32:30.4181342Z                     auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i1);
2022-11-23T01:32:30.4181485Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.4181585Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.4181683Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.4181779Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.4181897Z                     tmp8.store(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T01:32:30.4181987Z                     tmp9_vec += tmp8;
2022-11-23T01:32:30.4182058Z                 }
2022-11-23T01:32:30.4182256Z                 tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T01:32:30.4182384Z                 #pragma omp simd simdlen(4)  reduction(+:tmp9)
2022-11-23T01:32:30.4182483Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:30.4182554Z                 {
2022-11-23T01:32:30.4182666Z                     auto tmp0 = in_ptr1[i1 + (1024*i0)];
2022-11-23T01:32:30.4182764Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:30.4182862Z                     auto tmp3 = in_ptr3[i0];
2022-11-23T01:32:30.4182955Z                     auto tmp5 = in_ptr4[i1];
2022-11-23T01:32:30.4183050Z                     auto tmp7 = in_ptr5[i1];
2022-11-23T01:32:30.4183187Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:30.4183282Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.4183376Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.4183471Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:30.4183575Z                     out_ptr2[i1 + (1024*i0)] = tmp8;
2022-11-23T01:32:30.4183654Z                     tmp9 += tmp8;
2022-11-23T01:32:30.4183725Z                 }
2022-11-23T01:32:30.4183815Z                 out_ptr3[i0] = tmp9;
2022-11-23T01:32:30.4183888Z             }
2022-11-23T01:32:30.4183960Z         }
2022-11-23T01:32:30.4184091Z         #pragma omp for 
2022-11-23T01:32:30.4184182Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:30.4184244Z         {
2022-11-23T01:32:30.4184314Z             {
2022-11-23T01:32:30.4184536Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.4184623Z                 float tmp6 = 0;
2022-11-23T01:32:30.4184755Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.4184841Z                 float tmp7 = 0;
2022-11-23T01:32:30.4184970Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.4185067Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.4185131Z                 {
2022-11-23T01:32:30.4185281Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T01:32:30.4185419Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T01:32:30.4185569Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:30.4185668Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.4185813Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.4185910Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.4186001Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.4186081Z                     tmp7_vec += tmp0;
2022-11-23T01:32:30.4186152Z                 }
2022-11-23T01:32:30.4186356Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.4186554Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.4186704Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:30.4186807Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:30.4186878Z                 {
2022-11-23T01:32:30.4186989Z                     auto tmp0 = out_ptr2[i1 + (1024*i0)];
2022-11-23T01:32:30.4187081Z                     auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:30.4187202Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:32:30.4187301Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.4187440Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.4187537Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.4187622Z                     tmp6 += tmp5;
2022-11-23T01:32:30.4187707Z                     tmp7 += tmp0;
2022-11-23T01:32:30.4187770Z                 }
2022-11-23T01:32:30.4187860Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:32:30.4187949Z                 out_ptr5[i0] = tmp7;
2022-11-23T01:32:30.4188018Z             }
2022-11-23T01:32:30.4188088Z         }
2022-11-23T01:32:30.4188173Z         #pragma omp for 
2022-11-23T01:32:30.4188267Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.4188330Z         {
2022-11-23T01:32:30.4188476Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.4188620Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:30.4188712Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4188815Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.4188883Z         }
2022-11-23T01:32:30.4188987Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4189069Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:30.4189139Z         {
2022-11-23T01:32:30.4189230Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.4189338Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:32:30.4189430Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4189523Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.4189592Z         }
2022-11-23T01:32:30.4189668Z         #pragma omp for 
2022-11-23T01:32:30.4189799Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.4189870Z         {
2022-11-23T01:32:30.4190011Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i0);
2022-11-23T01:32:30.4190180Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:30.4190350Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4190595Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:30.4190679Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4190783Z             tmp4.store(in_out_ptr1 + 8*i0);
2022-11-23T01:32:30.4190852Z         }
2022-11-23T01:32:30.4190954Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4191045Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:30.4191114Z         {
2022-11-23T01:32:30.4191207Z             auto tmp0 = out_ptr4[i0];
2022-11-23T01:32:30.4191307Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:32:30.4191399Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4191552Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:30.4191641Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4191729Z             in_out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.4191801Z         }
2022-11-23T01:32:30.4191868Z     }
2022-11-23T01:32:30.4191927Z }
2022-11-23T01:32:30.4192012Z ''')
2022-11-23T01:32:30.4192018Z 
2022-11-23T01:32:30.4192022Z 
2022-11-23T01:32:30.4192116Z async_compile.wait(globals())
2022-11-23T01:32:30.4192200Z del async_compile
2022-11-23T01:32:30.4192205Z 
2022-11-23T01:32:30.4192280Z def call(args):
2022-11-23T01:32:30.4192393Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T01:32:30.4192471Z     args.clear()
2022-11-23T01:32:30.4192677Z     buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4192882Z     buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4193104Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4193313Z     buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4193515Z     buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4193711Z     buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4193803Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:30.4193927Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T01:32:30.4194298Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.4194367Z     del arg0_1
2022-11-23T01:32:30.4194442Z     del arg1_1
2022-11-23T01:32:30.4194515Z     del arg2_1
2022-11-23T01:32:30.4194588Z     del arg3_1
2022-11-23T01:32:30.4194660Z     del arg4_1
2022-11-23T01:32:30.4194731Z     del arg5_1
2022-11-23T01:32:30.4194824Z     return (buf6, buf5, buf7, )
2022-11-23T01:32:30.4194829Z 
2022-11-23T01:32:30.4194834Z 
2022-11-23T01:32:30.4194917Z if __name__ == "__main__":
2022-11-23T01:32:30.4195033Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4195163Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4195363Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4195561Z     arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4195780Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4195999Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4196243Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4196450Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4196615Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T01:32:30.4196985Z [2022-11-23 01:27:38,733] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ke/ckemqjabhvoup2rkhg4bjkpasqf6kyycydzarao7xzddheftmoco.py
2022-11-23T01:32:30.4197254Z [2022-11-23 01:27:38,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237
2022-11-23T01:32:30.4197260Z 
2022-11-23T01:32:30.4197334Z ok (1.879s)
2022-11-23T01:32:30.4197659Z   test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4197974Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4198198Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4198462Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4198746Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4199059Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4199408Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4199734Z [2022-11-23 01:27:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4200114Z [2022-11-23 01:27:38,746] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436> 
2022-11-23T01:32:30.4200224Z  4437           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4200326Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4200428Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.4200526Z                6 LOAD_ATTR                3 (div)
2022-11-23T01:32:30.4200629Z                8 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:30.4200730Z               10 LOAD_FAST                2 (getitem_17)
2022-11-23T01:32:30.4200832Z               12 LOAD_FAST                1 (arg81_1)
2022-11-23T01:32:30.4200928Z               14 CALL_METHOD              2
2022-11-23T01:32:30.4201038Z               16 STORE_FAST               4 (div_tensor_7)
2022-11-23T01:32:30.4201043Z 
2022-11-23T01:32:30.4201148Z 4438          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4201246Z               20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4201344Z               22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.4201449Z               24 LOAD_ATTR                5 (mul)
2022-11-23T01:32:30.4201544Z               26 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:30.4201652Z               28 LOAD_FAST                4 (div_tensor_7)
2022-11-23T01:32:30.4201755Z               30 LOAD_FAST                0 (arg38_1)
2022-11-23T01:32:30.4201850Z               32 CALL_METHOD              2
2022-11-23T01:32:30.4201961Z               34 STORE_FAST               5 (mul_tensor_24)
2022-11-23T01:32:30.4201967Z 
2022-11-23T01:32:30.4202068Z 4439          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4202168Z               38 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.4202280Z               40 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.4202429Z               42 LOAD_ATTR                6 (sum)
2022-11-23T01:32:30.4202546Z               44 LOAD_METHOD              7 (default)
2022-11-23T01:32:30.4202655Z               46 LOAD_FAST                5 (mul_tensor_24)
2022-11-23T01:32:30.4202775Z               48 CALL_METHOD              1
2022-11-23T01:32:30.4202884Z               50 STORE_FAST               6 (sum_default_7)
2022-11-23T01:32:30.4202889Z 
2022-11-23T01:32:30.4203006Z 4440          52 LOAD_FAST                3 (new_zeros_default_4)
2022-11-23T01:32:30.4203118Z               54 LOAD_FAST                6 (sum_default_7)
2022-11-23T01:32:30.4203207Z               56 BUILD_TUPLE              2
2022-11-23T01:32:30.4203290Z               58 RETURN_VALUE
2022-11-23T01:32:30.4203358Z  
2022-11-23T01:32:30.4203363Z 
2022-11-23T01:32:30.4203679Z [2022-11-23 01:27:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437
2022-11-23T01:32:30.4203906Z [2022-11-23 01:27:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4204262Z [2022-11-23 01:27:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4204557Z [2022-11-23 01:27:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4204858Z [2022-11-23 01:27:38,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4205116Z [2022-11-23 01:27:38,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)]
2022-11-23T01:32:30.4205382Z [2022-11-23 01:27:38,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)]
2022-11-23T01:32:30.4205681Z [2022-11-23 01:27:38,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()]
2022-11-23T01:32:30.4205998Z [2022-11-23 01:27:38,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4206255Z [2022-11-23 01:27:38,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()]
2022-11-23T01:32:30.4206562Z [2022-11-23 01:27:38,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438
2022-11-23T01:32:30.4206782Z [2022-11-23 01:27:38,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4207132Z [2022-11-23 01:27:38,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4207425Z [2022-11-23 01:27:38,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4207724Z [2022-11-23 01:27:38,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4207981Z [2022-11-23 01:27:38,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:30.4208259Z [2022-11-23 01:27:38,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:30.4208545Z [2022-11-23 01:27:38,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:30.4208866Z [2022-11-23 01:27:38,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4209161Z [2022-11-23 01:27:38,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()]
2022-11-23T01:32:30.4209478Z [2022-11-23 01:27:38,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439
2022-11-23T01:32:30.4209723Z [2022-11-23 01:27:38,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4210082Z [2022-11-23 01:27:38,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4210371Z [2022-11-23 01:27:38,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.4210669Z [2022-11-23 01:27:38,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4210926Z [2022-11-23 01:27:38,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)]
2022-11-23T01:32:30.4211211Z [2022-11-23 01:27:38,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)]
2022-11-23T01:32:30.4211503Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()]
2022-11-23T01:32:30.4211762Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:30.4212078Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440
2022-11-23T01:32:30.4212349Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 []
2022-11-23T01:32:30.4212632Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:30.4212904Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4213154Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4213541Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436>
2022-11-23T01:32:30.4213790Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4214027Z [2022-11-23 01:27:38,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4214277Z [2022-11-23 01:27:38,770] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4214532Z [2022-11-23 01:27:38,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4214729Z [2022-11-23 01:27:38,774] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4214872Z  __compiled_fn_246 <eval_with_key>.1520 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4214969Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4215065Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.4215156Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.4215291Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {}
2022-11-23T01:32:30.4215425Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {}
2022-11-23T01:32:30.4215562Z call_function, sum_default, aten.sum.default, (mul_tensor,), {}
2022-11-23T01:32:30.4215676Z output, output, output, ((sum_default,),), {}
2022-11-23T01:32:30.4215681Z 
2022-11-23T01:32:30.4216005Z [2022-11-23 01:27:38,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4216107Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4216241Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4216337Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4216436Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4216546Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4216642Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4216726Z              12 RETURN_VALUE
2022-11-23T01:32:30.4216731Z 
2022-11-23T01:32:30.4216801Z  
2022-11-23T01:32:30.4217126Z [2022-11-23 01:27:38,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4217243Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_246)
2022-11-23T01:32:30.4217341Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4217439Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4217516Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4217614Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4217709Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:30.4217791Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.4217886Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4217982Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:30.4218064Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.4218151Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.4218265Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4218361Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4218456Z              26 LOAD_CONST               1 (3)
2022-11-23T01:32:30.4218537Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4218647Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4218741Z              32 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4219062Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4219157Z              36 BUILD_TUPLE              2
2022-11-23T01:32:30.4219241Z              38 RETURN_VALUE
2022-11-23T01:32:30.4219246Z 
2022-11-23T01:32:30.4219313Z  
2022-11-23T01:32:30.4219501Z [2022-11-23 01:27:38,775] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4219582Z  - 
2022-11-23T01:32:30.4219705Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4219767Z             {
2022-11-23T01:32:30.4219914Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4220105Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:30.4220230Z                 'obj_weakref': None
2022-11-23T01:32:30.4220456Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4220527Z             }
2022-11-23T01:32:30.4220596Z             
2022-11-23T01:32:30.4220666Z  - 
2022-11-23T01:32:30.4220793Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4220863Z             {
2022-11-23T01:32:30.4221014Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4221127Z                 'code': None,
2022-11-23T01:32:30.4221336Z                 'obj_weakref': <weakref at 0x7f2022f32390; to 'Tensor' at 0x7f2127a0e750>
2022-11-23T01:32:30.4221585Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4221648Z             }
2022-11-23T01:32:30.4221717Z             
2022-11-23T01:32:30.4221793Z  - 
2022-11-23T01:32:30.4221920Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.4221990Z             {
2022-11-23T01:32:30.4222137Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4222249Z                 'code': None,
2022-11-23T01:32:30.4222453Z                 'obj_weakref': <weakref at 0x7f2022eeaa70; to 'Tensor' at 0x7f20726e6340>
2022-11-23T01:32:30.4222695Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4222764Z             }
2022-11-23T01:32:30.4222883Z             
2022-11-23T01:32:30.4222960Z  - 
2022-11-23T01:32:30.4223086Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.4223157Z             {
2022-11-23T01:32:30.4223296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4223439Z                 'code': None,
2022-11-23T01:32:30.4223648Z                 'obj_weakref': <weakref at 0x7f20232358f0; to 'Tensor' at 0x7f20726e6200>
2022-11-23T01:32:30.4223891Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4223959Z             }
2022-11-23T01:32:30.4224029Z             
2022-11-23T01:32:30.4224106Z  - 
2022-11-23T01:32:30.4224225Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:30.4224295Z             {
2022-11-23T01:32:30.4224439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4224549Z                 'code': None,
2022-11-23T01:32:30.4224762Z                 'obj_weakref': <weakref at 0x7f2072855ee0; to 'Tensor' at 0x7f201e2892b0>
2022-11-23T01:32:30.4225014Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4225087Z             }
2022-11-23T01:32:30.4225149Z             
2022-11-23T01:32:30.4225225Z  - 
2022-11-23T01:32:30.4225361Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4225430Z             {
2022-11-23T01:32:30.4225569Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4225746Z                 'code': ['___check_obj_id(model, 139776004106864)'],
2022-11-23T01:32:30.4225871Z                 'obj_weakref': None
2022-11-23T01:32:30.4226096Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4226166Z             }
2022-11-23T01:32:30.4226235Z             
2022-11-23T01:32:30.4226315Z  - 
2022-11-23T01:32:30.4226442Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4226510Z             {
2022-11-23T01:32:30.4226654Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4226868Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4226995Z                 'obj_weakref': None
2022-11-23T01:32:30.4227220Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4227293Z             }
2022-11-23T01:32:30.4227363Z             
2022-11-23T01:32:30.4227439Z  - 
2022-11-23T01:32:30.4227578Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4227640Z             {
2022-11-23T01:32:30.4227765Z                 'guard_types': None,
2022-11-23T01:32:30.4227877Z                 'code': None,
2022-11-23T01:32:30.4227999Z                 'obj_weakref': None
2022-11-23T01:32:30.4228127Z                 'guarded_class': None
2022-11-23T01:32:30.4228197Z             }
2022-11-23T01:32:30.4228266Z             
2022-11-23T01:32:30.4228529Z [2022-11-23 01:27:38,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238
2022-11-23T01:32:30.4228903Z [2022-11-23 01:27:40,330] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qd/cqdeutnupzddmmmddgvievtvlcnx2hf6oaq7guzgx22wvi6y4lx4.py
2022-11-23T01:32:30.4229174Z [2022-11-23 01:27:40,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238
2022-11-23T01:32:30.4229179Z 
2022-11-23T01:32:30.4229279Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4229357Z import torch
2022-11-23T01:32:30.4229432Z import random
2022-11-23T01:32:30.4229554Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4229679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4229685Z 
2022-11-23T01:32:30.4229762Z aten = torch.ops.aten
2022-11-23T01:32:30.4229901Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4230000Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4230005Z 
2022-11-23T01:32:30.4230116Z import triton
2022-11-23T01:32:30.4230210Z import triton.language as tl
2022-11-23T01:32:30.4230416Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4230576Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4230605Z 
2022-11-23T01:32:30.4230610Z 
2022-11-23T01:32:30.4230752Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4230954Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4231080Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4231191Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4231299Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.4231402Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.4231469Z {
2022-11-23T01:32:30.4231535Z     {
2022-11-23T01:32:30.4231732Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.4231807Z         float tmp5 = 0;
2022-11-23T01:32:30.4231928Z         auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T01:32:30.4232037Z         #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4232109Z         {
2022-11-23T01:32:30.4232224Z             #pragma omp for reduction(+:tmp5_vec) 
2022-11-23T01:32:30.4232318Z             for(long i0=0; i0<17600; i0+=1)
2022-11-23T01:32:30.4232387Z             {
2022-11-23T01:32:30.4232522Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.4232652Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:30.4232795Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:32:30.4232890Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4232983Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.4239870Z                 tmp5_vec += tmp4;
2022-11-23T01:32:30.4239967Z             }
2022-11-23T01:32:30.4240185Z             tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp5_vec);
2022-11-23T01:32:30.4240313Z             #pragma omp for simd simdlen(4) reduction(+:tmp5) 
2022-11-23T01:32:30.4240417Z             for(long i0=140800; i0<140800; i0+=1)
2022-11-23T01:32:30.4240488Z             {
2022-11-23T01:32:30.4240587Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.4240681Z                 auto tmp1 = in_ptr1[0];
2022-11-23T01:32:30.4240775Z                 auto tmp3 = in_ptr2[i0];
2022-11-23T01:32:30.4240871Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.4240956Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:30.4241038Z                 tmp5 += tmp4;
2022-11-23T01:32:30.4241107Z             }
2022-11-23T01:32:30.4241175Z         }
2022-11-23T01:32:30.4241258Z         out_ptr0[0] = tmp5;
2022-11-23T01:32:30.4241326Z     }
2022-11-23T01:32:30.4241391Z }
2022-11-23T01:32:30.4241491Z ''')
2022-11-23T01:32:30.4241497Z 
2022-11-23T01:32:30.4241502Z 
2022-11-23T01:32:30.4241604Z async_compile.wait(globals())
2022-11-23T01:32:30.4241684Z del async_compile
2022-11-23T01:32:30.4241692Z 
2022-11-23T01:32:30.4241786Z def call(args):
2022-11-23T01:32:30.4241880Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.4241975Z     args.clear()
2022-11-23T01:32:30.4242173Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4242363Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.4242439Z     del arg0_1
2022-11-23T01:32:30.4242512Z     del arg1_1
2022-11-23T01:32:30.4242584Z     del arg2_1
2022-11-23T01:32:30.4242662Z     return (buf0, )
2022-11-23T01:32:30.4242667Z 
2022-11-23T01:32:30.4242672Z 
2022-11-23T01:32:30.4242757Z if __name__ == "__main__":
2022-11-23T01:32:30.4242879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4243082Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4243307Z     arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4243523Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4243746Z     arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4243876Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.4243881Z 
2022-11-23T01:32:30.4243955Z ok (1.596s)
2022-11-23T01:32:30.4244273Z   test_to_device_constant_cpu (__main__.CpuTests) ... [2022-11-23 01:27:40,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4244589Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4244814Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4245067Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4245340Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4245653Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4245991Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4246317Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4246686Z [2022-11-23 01:27:40,336] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754> 
2022-11-23T01:32:30.4246789Z  1755           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4246895Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:30.4246999Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:30.4247098Z                6 STORE_FAST               1 (d1)
2022-11-23T01:32:30.4247103Z 
2022-11-23T01:32:30.4247194Z 1756           8 LOAD_FAST                1 (d1)
2022-11-23T01:32:30.4247340Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:30.4247441Z               12 COMPARE_OP               2 (==)
2022-11-23T01:32:30.4247549Z               14 POP_JUMP_IF_FALSE       11 (to 22)
2022-11-23T01:32:30.4247554Z 
2022-11-23T01:32:30.4247703Z 1757          16 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:30.4247798Z               18 STORE_FAST               2 (d2)
2022-11-23T01:32:30.4247903Z               20 JUMP_FORWARD             2 (to 26)
2022-11-23T01:32:30.4247908Z 
2022-11-23T01:32:30.4248049Z 1759     >>   22 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:30.4248139Z               24 STORE_FAST               2 (d2)
2022-11-23T01:32:30.4248148Z 
2022-11-23T01:32:30.4248248Z 1761     >>   26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.4248351Z               28 LOAD_ATTR                3 (as_tensor)
2022-11-23T01:32:30.4248451Z               30 LOAD_GLOBAL              4 (list)
2022-11-23T01:32:30.4248548Z               32 LOAD_GLOBAL              5 (range)
2022-11-23T01:32:30.4248644Z               34 LOAD_CONST               3 (64)
2022-11-23T01:32:30.4248740Z               36 CALL_FUNCTION            1
2022-11-23T01:32:30.4248840Z               38 CALL_FUNCTION            1
2022-11-23T01:32:30.4248930Z               40 LOAD_FAST                2 (d2)
2022-11-23T01:32:30.4249087Z               42 LOAD_CONST               4 (('device',))
2022-11-23T01:32:30.4249223Z               44 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4249327Z               46 STORE_FAST               3 (const1)
2022-11-23T01:32:30.4249332Z 
2022-11-23T01:32:30.4249429Z 1763          48 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.4249587Z               50 LOAD_ATTR                6 (arange)
2022-11-23T01:32:30.4249684Z               52 LOAD_CONST               5 (10)
2022-11-23T01:32:30.4249772Z               54 LOAD_FAST                2 (d2)
2022-11-23T01:32:30.4249927Z               56 LOAD_CONST               4 (('device',))
2022-11-23T01:32:30.4250023Z               58 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4250120Z               60 LOAD_METHOD              7 (to)
2022-11-23T01:32:30.4250215Z               62 LOAD_FAST                1 (d1)
2022-11-23T01:32:30.4250309Z               64 CALL_METHOD              1
2022-11-23T01:32:30.4250405Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4250478Z               68 BINARY_ADD
2022-11-23T01:32:30.4250490Z 
2022-11-23T01:32:30.4250585Z 1764          70 LOAD_FAST                3 (const1)
2022-11-23T01:32:30.4250681Z               72 LOAD_METHOD              7 (to)
2022-11-23T01:32:30.4250777Z               74 LOAD_FAST                1 (d1)
2022-11-23T01:32:30.4250877Z               76 CALL_METHOD              1
2022-11-23T01:32:30.4250882Z 
2022-11-23T01:32:30.4250982Z 1765          78 LOAD_FAST                3 (const1)
2022-11-23T01:32:30.4251076Z               80 LOAD_CONST               6 (1)
2022-11-23T01:32:30.4251156Z               82 BINARY_ADD
2022-11-23T01:32:30.4251247Z               84 LOAD_METHOD              7 (to)
2022-11-23T01:32:30.4251340Z               86 LOAD_FAST                1 (d1)
2022-11-23T01:32:30.4251432Z               88 CALL_METHOD              1
2022-11-23T01:32:30.4251437Z 
2022-11-23T01:32:30.4251532Z 1762          90 BUILD_TUPLE              3
2022-11-23T01:32:30.4251616Z               92 RETURN_VALUE
2022-11-23T01:32:30.4251686Z  
2022-11-23T01:32:30.4251693Z 
2022-11-23T01:32:30.4252065Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1755
2022-11-23T01:32:30.4252281Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.4252530Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:30.4252780Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cpu)]
2022-11-23T01:32:30.4253030Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d1 [ConstantVariable(str)]
2022-11-23T01:32:30.4253343Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1756
2022-11-23T01:32:30.4253562Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 []
2022-11-23T01:32:30.4253819Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:30.4254106Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:30.4254375Z [2022-11-23 01:27:40,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 22 [ConstantVariable(bool)]
2022-11-23T01:32:30.4254694Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1757
2022-11-23T01:32:30.4254912Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cuda []
2022-11-23T01:32:30.4255155Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d2 [ConstantVariable(str)]
2022-11-23T01:32:30.4255374Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_FORWARD 26 []
2022-11-23T01:32:30.4255718Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1761
2022-11-23T01:32:30.4255945Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4256341Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4256678Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4257047Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:30.4257447Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:30.4257883Z [2022-11-23 01:27:40,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:30.4258276Z [2022-11-23 01:27:40,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:30.4258624Z [2022-11-23 01:27:40,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:30.4259166Z [2022-11-23 01:27:40,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:30.4259591Z [2022-11-23 01:27:40,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.4259843Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST const1 [TensorVariable()]
2022-11-23T01:32:30.4260154Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1763
2022-11-23T01:32:30.4260376Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4260744Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4261071Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4261426Z [2022-11-23 01:27:40,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.4261838Z [2022-11-23 01:27:40,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:30.4262275Z [2022-11-23 01:27:40,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:30.4262513Z [2022-11-23 01:27:40,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:30.4262836Z [2022-11-23 01:27:40,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.4263149Z [2022-11-23 01:27:40,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:30.4263407Z [2022-11-23 01:27:40,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.4263678Z [2022-11-23 01:27:40,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4263995Z [2022-11-23 01:27:40,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1764
2022-11-23T01:32:30.4264243Z [2022-11-23 01:27:40,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable()]
2022-11-23T01:32:30.4264512Z [2022-11-23 01:27:40,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4264818Z [2022-11-23 01:27:40,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.4265159Z [2022-11-23 01:27:40,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:30.4265477Z [2022-11-23 01:27:40,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1765
2022-11-23T01:32:30.4265750Z [2022-11-23 01:27:40,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4266043Z [2022-11-23 01:27:40,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4266372Z [2022-11-23 01:27:40,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4266667Z [2022-11-23 01:27:40,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4266997Z [2022-11-23 01:27:40,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:30.4267365Z [2022-11-23 01:27:40,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:30.4267686Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1762
2022-11-23T01:32:30.4267986Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4268238Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4268617Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754>
2022-11-23T01:32:30.4268870Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4269112Z [2022-11-23 01:27:40,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4269371Z [2022-11-23 01:27:40,352] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4269617Z [2022-11-23 01:27:40,359] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4269811Z [2022-11-23 01:27:40,359] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4269983Z  __compiled_fn_247 <eval_with_key>.1526 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4270080Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4270649Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63],), {'device': 'cuda'}
2022-11-23T01:32:30.4270930Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (10,), {'device': 'cuda'}
2022-11-23T01:32:30.4271074Z call_method, to, to, (arange, 'cpu'), {}
2022-11-23T01:32:30.4271255Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:30.4271405Z call_method, to_1, to, (as_tensor, 'cpu'), {}
2022-11-23T01:32:30.4271584Z call_function, add_1, <built-in function add>, (as_tensor, 1), {}
2022-11-23T01:32:30.4271747Z call_method, to_2, to, (add_1, 'cpu'), {}
2022-11-23T01:32:30.4271875Z output, output, output, ((add, to_1, to_2),), {}
2022-11-23T01:32:30.4271883Z 
2022-11-23T01:32:30.4272226Z [2022-11-23 01:27:40,360] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4272330Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4272427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4272518Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4272619Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4272704Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4272799Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4272882Z              12 RETURN_VALUE
2022-11-23T01:32:30.4272887Z 
2022-11-23T01:32:30.4272957Z  
2022-11-23T01:32:30.4273287Z [2022-11-23 01:27:40,360] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4273407Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_247)
2022-11-23T01:32:30.4273506Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4273608Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4273684Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4273779Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4273890Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4274000Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4274096Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4274180Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4274291Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4274380Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4274462Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4274569Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4274666Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4274748Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4274847Z              30 BUILD_TUPLE              3
2022-11-23T01:32:30.4274931Z              32 RETURN_VALUE
2022-11-23T01:32:30.4274937Z 
2022-11-23T01:32:30.4274996Z  
2022-11-23T01:32:30.4275185Z [2022-11-23 01:27:40,360] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4275262Z  - 
2022-11-23T01:32:30.4275388Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4275459Z             {
2022-11-23T01:32:30.4275606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4275802Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4275921Z                 'obj_weakref': None
2022-11-23T01:32:30.4276149Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4276219Z             }
2022-11-23T01:32:30.4276289Z             
2022-11-23T01:32:30.4276400Z  - 
2022-11-23T01:32:30.4276528Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.4276598Z             {
2022-11-23T01:32:30.4276735Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.4276939Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.4277150Z                 'obj_weakref': <weakref at 0x7f20233b0540; to 'Tensor' at 0x7f2115b4d3a0>
2022-11-23T01:32:30.4277403Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4277473Z             }
2022-11-23T01:32:30.4277542Z             
2022-11-23T01:32:30.4277619Z  - 
2022-11-23T01:32:30.4277741Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4277814Z             {
2022-11-23T01:32:30.4277964Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4278076Z                 'code': None,
2022-11-23T01:32:30.4278290Z                 'obj_weakref': <weakref at 0x7f20233b0540; to 'Tensor' at 0x7f2115b4d3a0>
2022-11-23T01:32:30.4278543Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4278617Z             }
2022-11-23T01:32:30.4278679Z             
2022-11-23T01:32:30.4278756Z  - 
2022-11-23T01:32:30.4278895Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4278963Z             {
2022-11-23T01:32:30.4279107Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4279285Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4279409Z                 'obj_weakref': None
2022-11-23T01:32:30.4279633Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4279703Z             }
2022-11-23T01:32:30.4279773Z             
2022-11-23T01:32:30.4279849Z  - 
2022-11-23T01:32:30.4279977Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4280045Z             {
2022-11-23T01:32:30.4280190Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4280406Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4280533Z                 'obj_weakref': None
2022-11-23T01:32:30.4280757Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4280831Z             }
2022-11-23T01:32:30.4280899Z             
2022-11-23T01:32:30.4280977Z  - 
2022-11-23T01:32:30.4281114Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:30.4281175Z             {
2022-11-23T01:32:30.4281302Z                 'guard_types': None,
2022-11-23T01:32:30.4281423Z                 'code': None,
2022-11-23T01:32:30.4281552Z                 'obj_weakref': None
2022-11-23T01:32:30.4281700Z                 'guarded_class': None
2022-11-23T01:32:30.4281781Z             }
2022-11-23T01:32:30.4281861Z             
2022-11-23T01:32:30.4281930Z  - 
2022-11-23T01:32:30.4282068Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:30.4282139Z             {
2022-11-23T01:32:30.4282270Z                 'guard_types': None,
2022-11-23T01:32:30.4282384Z                 'code': None,
2022-11-23T01:32:30.4282509Z                 'obj_weakref': None
2022-11-23T01:32:30.4282636Z                 'guarded_class': None
2022-11-23T01:32:30.4282698Z             }
2022-11-23T01:32:30.4282768Z             
2022-11-23T01:32:30.4282843Z  - 
2022-11-23T01:32:30.4282980Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4283049Z             {
2022-11-23T01:32:30.4283173Z                 'guard_types': None,
2022-11-23T01:32:30.4283278Z                 'code': None,
2022-11-23T01:32:30.4283404Z                 'obj_weakref': None
2022-11-23T01:32:30.4283533Z                 'guarded_class': None
2022-11-23T01:32:30.4283601Z             }
2022-11-23T01:32:30.4283668Z             
2022-11-23T01:32:30.4283968Z [2022-11-23 01:27:40,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239
2022-11-23T01:32:30.4284337Z [2022-11-23 01:27:41,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gu/cgufv4x7byzgw5xg6ojfw22ba4yphnevriccu7jjvrd23pnqnkxc.py
2022-11-23T01:32:30.4284629Z [2022-11-23 01:27:41,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239
2022-11-23T01:32:30.4284635Z 
2022-11-23T01:32:30.4284728Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4284804Z import torch
2022-11-23T01:32:30.4284881Z import random
2022-11-23T01:32:30.4285008Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4285138Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4285143Z 
2022-11-23T01:32:30.4285228Z aten = torch.ops.aten
2022-11-23T01:32:30.4285371Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4285463Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4285479Z 
2022-11-23T01:32:30.4285547Z import triton
2022-11-23T01:32:30.4285644Z import triton.language as tl
2022-11-23T01:32:30.4285773Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4285916Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4286077Z constant0 = None  # beb02a6268c3f406824d31228875474e7116cf8e770246a5eb85f5795315f9cc
2022-11-23T01:32:30.4286249Z constant0_cpu0 = None  # 001ba0e61f337f449db2ca901dfd67b1df5cf0825674994be1be485b60aabc98
2022-11-23T01:32:30.4286254Z 
2022-11-23T01:32:30.4286259Z 
2022-11-23T01:32:30.4286397Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4286607Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4286726Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4286843Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:30.4286950Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4287054Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:30.4287155Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:30.4287223Z {
2022-11-23T01:32:30.4287329Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4287393Z     {
2022-11-23T01:32:30.4287477Z         #pragma omp for 
2022-11-23T01:32:30.4287565Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:30.4287633Z         {
2022-11-23T01:32:30.4287701Z             {
2022-11-23T01:32:30.4287770Z                 {
2022-11-23T01:32:30.4287863Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:32:30.4287974Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:30.4288090Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:30.4288188Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:30.4288281Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.4288352Z                 }
2022-11-23T01:32:30.4288421Z             }
2022-11-23T01:32:30.4288483Z         }
2022-11-23T01:32:30.4288569Z         #pragma omp for 
2022-11-23T01:32:30.4288657Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:30.4288726Z         {
2022-11-23T01:32:30.4288795Z             {
2022-11-23T01:32:30.4288865Z                 {
2022-11-23T01:32:30.4288968Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.4289071Z                     auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:30.4289169Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4289265Z                     out_ptr1[i0] = tmp0;
2022-11-23T01:32:30.4289357Z                     out_ptr2[i0] = tmp2;
2022-11-23T01:32:30.4289428Z                 }
2022-11-23T01:32:30.4289497Z             }
2022-11-23T01:32:30.4289565Z         }
2022-11-23T01:32:30.4289624Z     }
2022-11-23T01:32:30.4289689Z }
2022-11-23T01:32:30.4289776Z ''')
2022-11-23T01:32:30.4289782Z 
2022-11-23T01:32:30.4289786Z 
2022-11-23T01:32:30.4289881Z async_compile.wait(globals())
2022-11-23T01:32:30.4289957Z del async_compile
2022-11-23T01:32:30.4289962Z 
2022-11-23T01:32:30.4290083Z def call(args):
2022-11-23T01:32:30.4290164Z     arg0_1, = args
2022-11-23T01:32:30.4290234Z     args.clear()
2022-11-23T01:32:30.4290434Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4290654Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4290847Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4291075Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(constant0_cpu0.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.4291152Z     del arg0_1
2022-11-23T01:32:30.4291241Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4291246Z 
2022-11-23T01:32:30.4291251Z 
2022-11-23T01:32:30.4291333Z if __name__ == "__main__":
2022-11-23T01:32:30.4291447Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4291577Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4291821Z     constant0 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.4292045Z     constant0_cpu0 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4292244Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4292360Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4292365Z 
2022-11-23T01:32:30.4292439Z ok (1.602s)
2022-11-23T01:32:30.4292743Z   test_to_device_cpu (__main__.CpuTests) ... [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4293056Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4293275Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4293535Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4293813Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4294133Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4294471Z [2022-11-23 01:27:41,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4294791Z [2022-11-23 01:27:41,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4295158Z [2022-11-23 01:27:41,938] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741> 
2022-11-23T01:32:30.4295263Z  1742           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4295366Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:30.4295458Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:30.4295603Z                6 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:30.4295706Z                8 COMPARE_OP               2 (==)
2022-11-23T01:32:30.4295811Z               10 POP_JUMP_IF_FALSE       18 (to 36)
2022-11-23T01:32:30.4295816Z 
2022-11-23T01:32:30.4295919Z 1743          12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:30.4296021Z               14 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:30.4296117Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4296220Z               18 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:30.4296314Z               20 LOAD_METHOD              0 (device)
2022-11-23T01:32:30.4296458Z               22 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:30.4296583Z               24 CALL_METHOD              1
2022-11-23T01:32:30.4296682Z               26 LOAD_CONST               3 (6)
2022-11-23T01:32:30.4296777Z               28 LOAD_CONST               4 (0)
2022-11-23T01:32:30.4296957Z               30 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:30.4297078Z               32 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.4297153Z               34 RETURN_VALUE
2022-11-23T01:32:30.4297158Z 
2022-11-23T01:32:30.4297255Z 1745     >>   36 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:30.4297358Z               38 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:30.4297455Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4297558Z               42 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:30.4297660Z               44 LOAD_METHOD              0 (device)
2022-11-23T01:32:30.4297801Z               46 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:30.4297897Z               48 CALL_METHOD              1
2022-11-23T01:32:30.4297988Z               50 LOAD_CONST               3 (6)
2022-11-23T01:32:30.4298081Z               52 LOAD_CONST               4 (0)
2022-11-23T01:32:30.4298260Z               54 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:30.4298362Z               56 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.4298444Z               58 RETURN_VALUE
2022-11-23T01:32:30.4298511Z  
2022-11-23T01:32:30.4298516Z 
2022-11-23T01:32:30.4299108Z [2022-11-23 01:27:41,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1742
2022-11-23T01:32:30.4299322Z [2022-11-23 01:27:41,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.4299569Z [2022-11-23 01:27:41,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:30.4299817Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cpu)]
2022-11-23T01:32:30.4300073Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:30.4300357Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:30.4300628Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 36 [ConstantVariable(bool)]
2022-11-23T01:32:30.4300937Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1743
2022-11-23T01:32:30.4301155Z [2022-11-23 01:27:41,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.4301462Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4301720Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:30.4302002Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:30.4302439Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4302782Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cuda [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>)]
2022-11-23T01:32:30.4303160Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>), ConstantVariable(str)]
2022-11-23T01:32:30.4303534Z [2022-11-23 01:27:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device)]
2022-11-23T01:32:30.4303891Z [2022-11-23 01:27:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int)]
2022-11-23T01:32:30.4304348Z [2022-11-23 01:27:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout') [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4304787Z [2022-11-23 01:27:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.4305034Z [2022-11-23 01:27:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4305406Z [2022-11-23 01:27:41,947] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741>
2022-11-23T01:32:30.4305651Z [2022-11-23 01:27:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4305889Z [2022-11-23 01:27:41,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4306143Z [2022-11-23 01:27:41,948] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4306386Z [2022-11-23 01:27:41,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4306578Z [2022-11-23 01:27:41,951] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4306720Z  __compiled_fn_248 <eval_with_key>.1532 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4306816Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4307062Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'device': device(type='cuda'), 'dtype': 6, 'layout': 0}
2022-11-23T01:32:30.4307175Z output, output, output, ((_to_copy,),), {}
2022-11-23T01:32:30.4307181Z 
2022-11-23T01:32:30.4307502Z [2022-11-23 01:27:41,951] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4307606Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4307697Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4307791Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4307892Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4307985Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4308083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4308164Z              12 RETURN_VALUE
2022-11-23T01:32:30.4308169Z 
2022-11-23T01:32:30.4308237Z  
2022-11-23T01:32:30.4308564Z [2022-11-23 01:27:41,952] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4308676Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_248)
2022-11-23T01:32:30.4308778Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4308876Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4308959Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4309055Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4309154Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4309236Z              12 RETURN_VALUE
2022-11-23T01:32:30.4309241Z 
2022-11-23T01:32:30.4309300Z  
2022-11-23T01:32:30.4309487Z [2022-11-23 01:27:41,952] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4309564Z  - 
2022-11-23T01:32:30.4309691Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4309760Z             {
2022-11-23T01:32:30.4309906Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4310132Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4310304Z                 'obj_weakref': None
2022-11-23T01:32:30.4310558Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4310651Z             }
2022-11-23T01:32:30.4310719Z             
2022-11-23T01:32:30.4310796Z  - 
2022-11-23T01:32:30.4310922Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.4310991Z             {
2022-11-23T01:32:30.4311126Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.4311300Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.4311513Z                 'obj_weakref': <weakref at 0x7f2023415030; to 'Tensor' at 0x7f20601ecfe0>
2022-11-23T01:32:30.4311765Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4311835Z             }
2022-11-23T01:32:30.4311905Z             
2022-11-23T01:32:30.4311981Z  - 
2022-11-23T01:32:30.4312103Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4312172Z             {
2022-11-23T01:32:30.4312322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4312437Z                 'code': None,
2022-11-23T01:32:30.4312643Z                 'obj_weakref': <weakref at 0x7f2023415030; to 'Tensor' at 0x7f20601ecfe0>
2022-11-23T01:32:30.4312890Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4312959Z             }
2022-11-23T01:32:30.4313020Z             
2022-11-23T01:32:30.4313094Z  - 
2022-11-23T01:32:30.4313230Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4313301Z             {
2022-11-23T01:32:30.4313440Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4313618Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4313742Z                 'obj_weakref': None
2022-11-23T01:32:30.4313967Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4314036Z             }
2022-11-23T01:32:30.4314103Z             
2022-11-23T01:32:30.4314181Z  - 
2022-11-23T01:32:30.4314307Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4314375Z             {
2022-11-23T01:32:30.4314518Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4314734Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4314857Z                 'obj_weakref': None
2022-11-23T01:32:30.4315082Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4315153Z             }
2022-11-23T01:32:30.4315220Z             
2022-11-23T01:32:30.4315295Z  - 
2022-11-23T01:32:30.4315429Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.4315490Z             {
2022-11-23T01:32:30.4315615Z                 'guard_types': None,
2022-11-23T01:32:30.4315730Z                 'code': None,
2022-11-23T01:32:30.4315853Z                 'obj_weakref': None
2022-11-23T01:32:30.4315979Z                 'guarded_class': None
2022-11-23T01:32:30.4316049Z             }
2022-11-23T01:32:30.4316117Z             
2022-11-23T01:32:30.4316183Z  - 
2022-11-23T01:32:30.4316319Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4316387Z             {
2022-11-23T01:32:30.4316515Z                 'guard_types': None,
2022-11-23T01:32:30.4316625Z                 'code': None,
2022-11-23T01:32:30.4316750Z                 'obj_weakref': None
2022-11-23T01:32:30.4316875Z                 'guarded_class': None
2022-11-23T01:32:30.4316935Z             }
2022-11-23T01:32:30.4317002Z             
2022-11-23T01:32:30.4317267Z [2022-11-23 01:27:41,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240
2022-11-23T01:32:30.4317452Z [2022-11-23 01:27:41,957] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:30.4317848Z [2022-11-23 01:27:41,959] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch56a24huwoi7jchsp6mdhhakj33oj5qub5o26nw5wvhp3uukx5j.py
2022-11-23T01:32:30.4318118Z [2022-11-23 01:27:41,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240
2022-11-23T01:32:30.4318145Z 
2022-11-23T01:32:30.4318246Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4318321Z import torch
2022-11-23T01:32:30.4318388Z import random
2022-11-23T01:32:30.4318511Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4318639Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4318644Z 
2022-11-23T01:32:30.4318728Z aten = torch.ops.aten
2022-11-23T01:32:30.4318866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4318962Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4318968Z 
2022-11-23T01:32:30.4319043Z import triton
2022-11-23T01:32:30.4319127Z import triton.language as tl
2022-11-23T01:32:30.4319257Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4319402Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4319408Z 
2022-11-23T01:32:30.4319416Z 
2022-11-23T01:32:30.4319509Z async_compile.wait(globals())
2022-11-23T01:32:30.4319588Z del async_compile
2022-11-23T01:32:30.4319594Z 
2022-11-23T01:32:30.4319669Z def call(args):
2022-11-23T01:32:30.4319742Z     arg0_1, = args
2022-11-23T01:32:30.4319821Z     args.clear()
2022-11-23T01:32:30.4320027Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4320108Z     buf0.copy_(arg0_1)
2022-11-23T01:32:30.4320180Z     del arg0_1
2022-11-23T01:32:30.4320257Z     return (buf0, )
2022-11-23T01:32:30.4320262Z 
2022-11-23T01:32:30.4320266Z 
2022-11-23T01:32:30.4320347Z if __name__ == "__main__":
2022-11-23T01:32:30.4320468Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4320598Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4320802Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4320914Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4320922Z 
2022-11-23T01:32:30.4320992Z ok (0.027s)
2022-11-23T01:32:30.4321300Z   test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4321613Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4321847Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4322143Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4322424Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4322745Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4323091Z [2022-11-23 01:27:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4323405Z [2022-11-23 01:27:41,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4323783Z [2022-11-23 01:27:41,965] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723> 
2022-11-23T01:32:30.4323886Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4323988Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:30.4324116Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4324213Z                6 LOAD_CONST               1 (6)
2022-11-23T01:32:30.4324369Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:30.4324492Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4324498Z 
2022-11-23T01:32:30.4324591Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4324693Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:30.4324788Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4324882Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.4324965Z               20 BINARY_ADD
2022-11-23T01:32:30.4325058Z               22 LOAD_CONST               1 (6)
2022-11-23T01:32:30.4325213Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:30.4325309Z               26 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.4325314Z 
2022-11-23T01:32:30.4325406Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4325506Z               30 LOAD_METHOD              2 (to)
2022-11-23T01:32:30.4325602Z               32 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4325702Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:30.4325807Z               36 LOAD_ATTR                4 (float64)
2022-11-23T01:32:30.4325900Z               38 CALL_METHOD              2
2022-11-23T01:32:30.4325906Z 
2022-11-23T01:32:30.4326004Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4326093Z               42 LOAD_METHOD              2 (to)
2022-11-23T01:32:30.4326189Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4326288Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:30.4326385Z               48 LOAD_ATTR                5 (bool)
2022-11-23T01:32:30.4326479Z               50 CALL_METHOD              2
2022-11-23T01:32:30.4326484Z 
2022-11-23T01:32:30.4326577Z 1724          52 BUILD_TUPLE              4
2022-11-23T01:32:30.4326663Z               54 RETURN_VALUE
2022-11-23T01:32:30.4326729Z  
2022-11-23T01:32:30.4326734Z 
2022-11-23T01:32:30.4327046Z [2022-11-23 01:27:41,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725
2022-11-23T01:32:30.4327271Z [2022-11-23 01:27:41,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.4327585Z [2022-11-23 01:27:41,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4327849Z [2022-11-23 01:27:41,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:30.4328137Z [2022-11-23 01:27:41,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:30.4328473Z [2022-11-23 01:27:41,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4328841Z [2022-11-23 01:27:41,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.4329152Z [2022-11-23 01:27:41,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726
2022-11-23T01:32:30.4329402Z [2022-11-23 01:27:41,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.4329740Z [2022-11-23 01:27:41,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4330025Z [2022-11-23 01:27:41,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T01:32:30.4330359Z [2022-11-23 01:27:41,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:30.4330716Z [2022-11-23 01:27:41,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4331039Z [2022-11-23 01:27:41,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:30.4331392Z [2022-11-23 01:27:41,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4331812Z [2022-11-23 01:27:41,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.4332143Z [2022-11-23 01:27:41,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727
2022-11-23T01:32:30.4332412Z [2022-11-23 01:27:41,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4332763Z [2022-11-23 01:27:41,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4333060Z [2022-11-23 01:27:41,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:30.4333390Z [2022-11-23 01:27:41,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:30.4333870Z [2022-11-23 01:27:41,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4334237Z [2022-11-23 01:27:41,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:30.4334547Z [2022-11-23 01:27:41,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728
2022-11-23T01:32:30.4334842Z [2022-11-23 01:27:41,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4335215Z [2022-11-23 01:27:41,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4335546Z [2022-11-23 01:27:41,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:30.4335902Z [2022-11-23 01:27:41,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:30.4336403Z [2022-11-23 01:27:41,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4336797Z [2022-11-23 01:27:41,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:30.4337103Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724
2022-11-23T01:32:30.4337460Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4337712Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4338112Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723>
2022-11-23T01:32:30.4338367Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4338606Z [2022-11-23 01:27:41,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4338980Z [2022-11-23 01:27:41,995] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4339239Z [2022-11-23 01:27:41,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4339435Z [2022-11-23 01:27:42,000] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4339576Z  __compiled_fn_249 <eval_with_key>.1538 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4339675Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4339766Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.4339947Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T01:32:30.4340124Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:30.4340297Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T01:32:30.4340419Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T01:32:30.4340538Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T01:32:30.4340666Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T01:32:30.4340671Z 
2022-11-23T01:32:30.4341002Z [2022-11-23 01:27:42,000] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4341103Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4341202Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4341296Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4341388Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4341479Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4341574Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4341656Z              12 RETURN_VALUE
2022-11-23T01:32:30.4341661Z 
2022-11-23T01:32:30.4341730Z  
2022-11-23T01:32:30.4342052Z [2022-11-23 01:27:42,000] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4342167Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_249)
2022-11-23T01:32:30.4342266Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4342355Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4342436Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4342531Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4342625Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4342704Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.4342797Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.4342910Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4343012Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4343108Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4343190Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4343299Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4343393Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4343472Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4343625Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4343713Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4343795Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4343929Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4344022Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4344106Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.4344202Z              42 BUILD_TUPLE              4
2022-11-23T01:32:30.4344282Z              44 RETURN_VALUE
2022-11-23T01:32:30.4344286Z 
2022-11-23T01:32:30.4344344Z  
2022-11-23T01:32:30.4344533Z [2022-11-23 01:27:42,001] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4344612Z  - 
2022-11-23T01:32:30.4344736Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4344808Z             {
2022-11-23T01:32:30.4344956Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4345145Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.4345263Z                 'obj_weakref': None
2022-11-23T01:32:30.4345488Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4345561Z             }
2022-11-23T01:32:30.4345630Z             
2022-11-23T01:32:30.4345706Z  - 
2022-11-23T01:32:30.4345832Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4345898Z             {
2022-11-23T01:32:30.4346037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4346148Z                 'code': None,
2022-11-23T01:32:30.4346358Z                 'obj_weakref': <weakref at 0x7f206078a2a0; to 'Tensor' at 0x7f2068241da0>
2022-11-23T01:32:30.4346605Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4346674Z             }
2022-11-23T01:32:30.4346743Z             
2022-11-23T01:32:30.4346821Z  - 
2022-11-23T01:32:30.4346939Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.4347010Z             {
2022-11-23T01:32:30.4347154Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4347264Z                 'code': None,
2022-11-23T01:32:30.4347471Z                 'obj_weakref': <weakref at 0x7f2023397290; to 'Tensor' at 0x7f2115b4d3a0>
2022-11-23T01:32:30.4347715Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4347783Z             }
2022-11-23T01:32:30.4347844Z             
2022-11-23T01:32:30.4347917Z  - 
2022-11-23T01:32:30.4348050Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4348118Z             {
2022-11-23T01:32:30.4348255Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4348430Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4348552Z                 'obj_weakref': None
2022-11-23T01:32:30.4348775Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4348847Z             }
2022-11-23T01:32:30.4348915Z             
2022-11-23T01:32:30.4348991Z  - 
2022-11-23T01:32:30.4349115Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4349184Z             {
2022-11-23T01:32:30.4349324Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4349535Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4349657Z                 'obj_weakref': None
2022-11-23T01:32:30.4349877Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4349945Z             }
2022-11-23T01:32:30.4350013Z             
2022-11-23T01:32:30.4350088Z  - 
2022-11-23T01:32:30.4350221Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.4350358Z             {
2022-11-23T01:32:30.4350502Z                 'guard_types': None,
2022-11-23T01:32:30.4350613Z                 'code': None,
2022-11-23T01:32:30.4350774Z                 'obj_weakref': None
2022-11-23T01:32:30.4350899Z                 'guarded_class': None
2022-11-23T01:32:30.4350967Z             }
2022-11-23T01:32:30.4351033Z             
2022-11-23T01:32:30.4351101Z  - 
2022-11-23T01:32:30.4351257Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4351325Z             {
2022-11-23T01:32:30.4351449Z                 'guard_types': None,
2022-11-23T01:32:30.4351557Z                 'code': None,
2022-11-23T01:32:30.4351678Z                 'obj_weakref': None
2022-11-23T01:32:30.4351804Z                 'guarded_class': None
2022-11-23T01:32:30.4351865Z             }
2022-11-23T01:32:30.4351932Z             
2022-11-23T01:32:30.4352007Z  - 
2022-11-23T01:32:30.4352154Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:30.4352223Z             {
2022-11-23T01:32:30.4352368Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4352527Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:30.4352650Z                 'obj_weakref': None
2022-11-23T01:32:30.4352873Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.4352942Z             }
2022-11-23T01:32:30.4353015Z             
2022-11-23T01:32:30.4353090Z  - 
2022-11-23T01:32:30.4353242Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T01:32:30.4353303Z             {
2022-11-23T01:32:30.4353447Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4353623Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T01:32:30.4353744Z                 'obj_weakref': None
2022-11-23T01:32:30.4353965Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.4354033Z             }
2022-11-23T01:32:30.4354101Z             
2022-11-23T01:32:30.4354357Z [2022-11-23 01:27:42,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241
2022-11-23T01:32:30.4354721Z [2022-11-23 01:27:43,569] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj2lsejtzwbelqmkgdkjiduir3xqkrroj45oztbh6cu6oz4zskmt.py
2022-11-23T01:32:30.4354986Z [2022-11-23 01:27:43,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241
2022-11-23T01:32:30.4354995Z 
2022-11-23T01:32:30.4355094Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4355170Z import torch
2022-11-23T01:32:30.4355244Z import random
2022-11-23T01:32:30.4355371Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4355496Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4355501Z 
2022-11-23T01:32:30.4355587Z aten = torch.ops.aten
2022-11-23T01:32:30.4355720Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4355818Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4355824Z 
2022-11-23T01:32:30.4355898Z import triton
2022-11-23T01:32:30.4355991Z import triton.language as tl
2022-11-23T01:32:30.4356120Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4356262Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4356268Z 
2022-11-23T01:32:30.4356273Z 
2022-11-23T01:32:30.4356413Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4356622Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4356743Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:30.4356853Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4356957Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:30.4357024Z {
2022-11-23T01:32:30.4357127Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4357193Z     {
2022-11-23T01:32:30.4357275Z         #pragma omp for 
2022-11-23T01:32:30.4357357Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:32:30.4357424Z         {
2022-11-23T01:32:30.4357491Z             {
2022-11-23T01:32:30.4357561Z                 {
2022-11-23T01:32:30.4357733Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.4357847Z                     auto tmp1 = static_cast<double>(1);
2022-11-23T01:32:30.4357937Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4358079Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:30.4358192Z                     auto tmp4 = static_cast<bool>(tmp0);
2022-11-23T01:32:30.4358283Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:30.4358371Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.4358440Z                 }
2022-11-23T01:32:30.4358506Z             }
2022-11-23T01:32:30.4358566Z         }
2022-11-23T01:32:30.4358632Z     }
2022-11-23T01:32:30.4358696Z }
2022-11-23T01:32:30.4358782Z ''')
2022-11-23T01:32:30.4358787Z 
2022-11-23T01:32:30.4358792Z 
2022-11-23T01:32:30.4358888Z async_compile.wait(globals())
2022-11-23T01:32:30.4358965Z del async_compile
2022-11-23T01:32:30.4358970Z 
2022-11-23T01:32:30.4359044Z def call(args):
2022-11-23T01:32:30.4359131Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4359200Z     args.clear()
2022-11-23T01:32:30.4359410Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4359611Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.4359782Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.4359880Z     return (arg0_1, buf0, arg1_1, buf1, )
2022-11-23T01:32:30.4359885Z 
2022-11-23T01:32:30.4359890Z 
2022-11-23T01:32:30.4359972Z if __name__ == "__main__":
2022-11-23T01:32:30.4360090Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4360219Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4360420Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4360622Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.4360744Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4360749Z 
2022-11-23T01:32:30.4360821Z ok (1.609s)
2022-11-23T01:32:30.4361118Z   test_topk_cpu (__main__.CpuTests) ... [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4361437Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4361656Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4361953Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4362233Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4362543Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4362882Z [2022-11-23 01:27:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4363202Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4363567Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099> 
2022-11-23T01:32:30.4363671Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4363772Z                2 LOAD_METHOD              1 (topk)
2022-11-23T01:32:30.4363871Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4363966Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4364136Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.4364226Z               10 CALL_METHOD              3
2022-11-23T01:32:30.4364309Z               12 RETURN_VALUE
2022-11-23T01:32:30.4364406Z  
2022-11-23T01:32:30.4364411Z 
2022-11-23T01:32:30.4364722Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100
2022-11-23T01:32:30.4364942Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4365299Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4365611Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4365953Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4366327Z [2022-11-23 01:27:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4366744Z [2022-11-23 01:27:43,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4366994Z [2022-11-23 01:27:43,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:30.4367365Z [2022-11-23 01:27:43,576] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099>
2022-11-23T01:32:30.4367625Z [2022-11-23 01:27:43,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:30.4367861Z [2022-11-23 01:27:43,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4368118Z [2022-11-23 01:27:43,577] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4368366Z [2022-11-23 01:27:43,580] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4368559Z [2022-11-23 01:27:43,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4368702Z  __compiled_fn_250 <eval_with_key>.1544 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4368797Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4369026Z call_function, topk, <built-in method topk of type object at 0x7f209c394c60>, (ex_0_, 2, -1), {}
2022-11-23T01:32:30.4369215Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T01:32:30.4369411Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T01:32:30.4369530Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:30.4369535Z 
2022-11-23T01:32:30.4369867Z [2022-11-23 01:27:43,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4369967Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4370067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4370160Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4370253Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4370344Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4370438Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4370521Z              12 RETURN_VALUE
2022-11-23T01:32:30.4370526Z 
2022-11-23T01:32:30.4370592Z  
2022-11-23T01:32:30.4370948Z [2022-11-23 01:27:43,580] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4371067Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_250)
2022-11-23T01:32:30.4371187Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4371277Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4371362Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4371456Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4371570Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4371774Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T01:32:30.4371904Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4372015Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4372099Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.4372208Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4372305Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:30.4372387Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.4372479Z              26 BUILD_TUPLE              2
2022-11-23T01:32:30.4372574Z              28 CALL_FUNCTION            1
2022-11-23T01:32:30.4372656Z              30 RETURN_VALUE
2022-11-23T01:32:30.4372661Z 
2022-11-23T01:32:30.4372720Z  
2022-11-23T01:32:30.4372908Z [2022-11-23 01:27:43,581] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4372984Z  - 
2022-11-23T01:32:30.4373109Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4373178Z             {
2022-11-23T01:32:30.4373323Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4373514Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4373631Z                 'obj_weakref': None
2022-11-23T01:32:30.4373860Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4373931Z             }
2022-11-23T01:32:30.4373999Z             
2022-11-23T01:32:30.4374074Z  - 
2022-11-23T01:32:30.4374204Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4374271Z             {
2022-11-23T01:32:30.4374416Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4374528Z                 'code': None,
2022-11-23T01:32:30.4374743Z                 'obj_weakref': <weakref at 0x7f2022f336a0; to 'Tensor' at 0x7f2068241da0>
2022-11-23T01:32:30.4375000Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4375075Z             }
2022-11-23T01:32:30.4375142Z             
2022-11-23T01:32:30.4375220Z  - 
2022-11-23T01:32:30.4375348Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4375417Z             {
2022-11-23T01:32:30.4375557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4375734Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4375861Z                 'obj_weakref': None
2022-11-23T01:32:30.4376095Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4376166Z             }
2022-11-23T01:32:30.4376227Z             
2022-11-23T01:32:30.4376304Z  - 
2022-11-23T01:32:30.4376432Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4376501Z             {
2022-11-23T01:32:30.4376643Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4376863Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4376989Z                 'obj_weakref': None
2022-11-23T01:32:30.4377205Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4377275Z             }
2022-11-23T01:32:30.4377347Z             
2022-11-23T01:32:30.4377422Z  - 
2022-11-23T01:32:30.4377560Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4377659Z             {
2022-11-23T01:32:30.4377785Z                 'guard_types': None,
2022-11-23T01:32:30.4377893Z                 'code': None,
2022-11-23T01:32:30.4378016Z                 'obj_weakref': None
2022-11-23T01:32:30.4378168Z                 'guarded_class': None
2022-11-23T01:32:30.4378236Z             }
2022-11-23T01:32:30.4378304Z             
2022-11-23T01:32:30.4378569Z [2022-11-23 01:27:43,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242
2022-11-23T01:32:30.4378975Z [2022-11-23 01:27:43,586] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T01:32:30.4379335Z [2022-11-23 01:27:43,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sc/cscavbij5z5g64revtfcm47n2nidnv4szcqkjp6464ggitdp7rbh.py
2022-11-23T01:32:30.4379604Z [2022-11-23 01:27:43,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242
2022-11-23T01:32:30.4379610Z 
2022-11-23T01:32:30.4379713Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4379788Z import torch
2022-11-23T01:32:30.4379862Z import random
2022-11-23T01:32:30.4379982Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4380107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4380116Z 
2022-11-23T01:32:30.4380201Z aten = torch.ops.aten
2022-11-23T01:32:30.4380332Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4380430Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4380435Z 
2022-11-23T01:32:30.4380509Z import triton
2022-11-23T01:32:30.4380601Z import triton.language as tl
2022-11-23T01:32:30.4380730Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4380875Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4380881Z 
2022-11-23T01:32:30.4380885Z 
2022-11-23T01:32:30.4380979Z async_compile.wait(globals())
2022-11-23T01:32:30.4381057Z del async_compile
2022-11-23T01:32:30.4381062Z 
2022-11-23T01:32:30.4381133Z def call(args):
2022-11-23T01:32:30.4381205Z     arg0_1, = args
2022-11-23T01:32:30.4381285Z     args.clear()
2022-11-23T01:32:30.4381375Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T01:32:30.4381446Z     del arg0_1
2022-11-23T01:32:30.4381524Z     buf1 = buf0[0]
2022-11-23T01:32:30.4381637Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:30.4381704Z     buf2 = buf0[1]
2022-11-23T01:32:30.4381814Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:30.4381885Z     del buf0
2022-11-23T01:32:30.4381966Z     return (buf1, buf2, )
2022-11-23T01:32:30.4381971Z 
2022-11-23T01:32:30.4381976Z 
2022-11-23T01:32:30.4382056Z if __name__ == "__main__":
2022-11-23T01:32:30.4382174Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4382306Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4382522Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4382631Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4382636Z 
2022-11-23T01:32:30.4382707Z ok (0.019s)
2022-11-23T01:32:30.4383024Z   test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4383344Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4383567Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4383825Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4384104Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4384483Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4384830Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4385183Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4385546Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335> 
2022-11-23T01:32:30.4385646Z  2336           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4385745Z                2 LOAD_METHOD              0 (t)
2022-11-23T01:32:30.4385840Z                4 CALL_METHOD              0
2022-11-23T01:32:30.4385937Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4386019Z                8 BINARY_ADD
2022-11-23T01:32:30.4386103Z               10 RETURN_VALUE
2022-11-23T01:32:30.4386163Z  
2022-11-23T01:32:30.4386168Z 
2022-11-23T01:32:30.4386484Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2336
2022-11-23T01:32:30.4386703Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.4386944Z [2022-11-23 01:27:43,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()]
2022-11-23T01:32:30.4387227Z [2022-11-23 01:27:43,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)]
2022-11-23T01:32:30.4387469Z [2022-11-23 01:27:43,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.4387745Z [2022-11-23 01:27:43,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4387996Z [2022-11-23 01:27:43,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4388372Z [2022-11-23 01:27:43,594] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335>
2022-11-23T01:32:30.4388622Z [2022-11-23 01:27:43,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4388850Z [2022-11-23 01:27:43,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4389104Z [2022-11-23 01:27:43,595] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4389355Z [2022-11-23 01:27:43,598] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4389550Z [2022-11-23 01:27:43,598] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4389694Z  __compiled_fn_251 <eval_with_key>.1550 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4389788Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4389880Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.4389968Z call_method, t, t, (ex_0_,), {}
2022-11-23T01:32:30.4390140Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:30.4390240Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.4390310Z 
2022-11-23T01:32:30.4390685Z [2022-11-23 01:27:43,598] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4390787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4390884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4390977Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4391076Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4391169Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4391290Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4391373Z              12 RETURN_VALUE
2022-11-23T01:32:30.4391379Z 
2022-11-23T01:32:30.4391443Z  
2022-11-23T01:32:30.4391766Z [2022-11-23 01:27:43,598] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4391906Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_251)
2022-11-23T01:32:30.4392005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4392100Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4392175Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4392270Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4392362Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4392442Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.4392541Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.4392637Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4392720Z              18 RETURN_VALUE
2022-11-23T01:32:30.4392725Z 
2022-11-23T01:32:30.4392790Z  
2022-11-23T01:32:30.4392969Z [2022-11-23 01:27:43,599] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4393051Z  - 
2022-11-23T01:32:30.4393177Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4393245Z             {
2022-11-23T01:32:30.4393391Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4393580Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.4393701Z                 'obj_weakref': None
2022-11-23T01:32:30.4393919Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4393988Z             }
2022-11-23T01:32:30.4394056Z             
2022-11-23T01:32:30.4394131Z  - 
2022-11-23T01:32:30.4394259Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4394329Z             {
2022-11-23T01:32:30.4394467Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4394581Z                 'code': None,
2022-11-23T01:32:30.4394791Z                 'obj_weakref': <weakref at 0x7f2023417c90; to 'Tensor' at 0x7f2072856070>
2022-11-23T01:32:30.4395040Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4395111Z             }
2022-11-23T01:32:30.4395183Z             
2022-11-23T01:32:30.4395258Z  - 
2022-11-23T01:32:30.4395384Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.4395446Z             {
2022-11-23T01:32:30.4395590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4395701Z                 'code': None,
2022-11-23T01:32:30.4395905Z                 'obj_weakref': <weakref at 0x7f2023415fd0; to 'Tensor' at 0x7f2068240130>
2022-11-23T01:32:30.4396147Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4396216Z             }
2022-11-23T01:32:30.4396289Z             
2022-11-23T01:32:30.4396356Z  - 
2022-11-23T01:32:30.4396489Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4396559Z             {
2022-11-23T01:32:30.4396698Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4396873Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4396996Z                 'obj_weakref': None
2022-11-23T01:32:30.4397223Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4397285Z             }
2022-11-23T01:32:30.4397353Z             
2022-11-23T01:32:30.4397429Z  - 
2022-11-23T01:32:30.4397553Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4397620Z             {
2022-11-23T01:32:30.4397758Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4397978Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4398094Z                 'obj_weakref': None
2022-11-23T01:32:30.4398350Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4398420Z             }
2022-11-23T01:32:30.4398489Z             
2022-11-23T01:32:30.4398782Z [2022-11-23 01:27:43,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243
2022-11-23T01:32:30.4399136Z [2022-11-23 01:27:45,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2q/c2qigb6q2b7eyf6rywwsa4h7qd3g43pcnp64rx6c6rkrfve5hcgv.py
2022-11-23T01:32:30.4399402Z [2022-11-23 01:27:45,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243
2022-11-23T01:32:30.4399408Z 
2022-11-23T01:32:30.4399507Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4399575Z import torch
2022-11-23T01:32:30.4399651Z import random
2022-11-23T01:32:30.4399772Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4399898Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4399907Z 
2022-11-23T01:32:30.4399992Z aten = torch.ops.aten
2022-11-23T01:32:30.4400133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4400229Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4400238Z 
2022-11-23T01:32:30.4400305Z import triton
2022-11-23T01:32:30.4400399Z import triton.language as tl
2022-11-23T01:32:30.4400524Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4400669Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4400675Z 
2022-11-23T01:32:30.4400679Z 
2022-11-23T01:32:30.4400816Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4401025Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4401152Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4401264Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4401365Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.4401432Z {
2022-11-23T01:32:30.4401533Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4401602Z     {
2022-11-23T01:32:30.4401683Z         #pragma omp for 
2022-11-23T01:32:30.4401775Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:30.4401857Z         {
2022-11-23T01:32:30.4401946Z             #pragma GCC ivdep
2022-11-23T01:32:30.4402055Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:30.4402130Z             {
2022-11-23T01:32:30.4402200Z                 {
2022-11-23T01:32:30.4402270Z                     {
2022-11-23T01:32:30.4402382Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:30.4402491Z                         auto tmp1 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:30.4402585Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4402686Z                         out_ptr0[i1 + (16*i0)] = tmp2;
2022-11-23T01:32:30.4402758Z                     }
2022-11-23T01:32:30.4402827Z                 }
2022-11-23T01:32:30.4402897Z             }
2022-11-23T01:32:30.4402967Z         }
2022-11-23T01:32:30.4403034Z     }
2022-11-23T01:32:30.4403092Z }
2022-11-23T01:32:30.4403176Z ''')
2022-11-23T01:32:30.4403182Z 
2022-11-23T01:32:30.4403188Z 
2022-11-23T01:32:30.4403283Z async_compile.wait(globals())
2022-11-23T01:32:30.4403360Z del async_compile
2022-11-23T01:32:30.4403365Z 
2022-11-23T01:32:30.4403441Z def call(args):
2022-11-23T01:32:30.4403522Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4403598Z     args.clear()
2022-11-23T01:32:30.4403793Z     buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4403961Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.4404035Z     del arg0_1
2022-11-23T01:32:30.4404107Z     del arg1_1
2022-11-23T01:32:30.4404183Z     return (buf0, )
2022-11-23T01:32:30.4404188Z 
2022-11-23T01:32:30.4404192Z 
2022-11-23T01:32:30.4404274Z if __name__ == "__main__":
2022-11-23T01:32:30.4404424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4404555Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4404750Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4404973Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4405094Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4405099Z 
2022-11-23T01:32:30.4405171Z ok (1.666s)
2022-11-23T01:32:30.4405474Z   test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 01:27:45,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4405788Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4406008Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4406265Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4406534Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4406859Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4407196Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4407512Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4407879Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242> 
2022-11-23T01:32:30.4407983Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4408080Z                2 LOAD_METHOD              1 (t)
2022-11-23T01:32:30.4408180Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4408276Z                6 CALL_METHOD              1
2022-11-23T01:32:30.4408362Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4408440Z               10 BINARY_ADD
2022-11-23T01:32:30.4408445Z 
2022-11-23T01:32:30.4408544Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4408650Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T01:32:30.4408745Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:30.4408838Z               18 LOAD_CONST               1 (2)
2022-11-23T01:32:30.4408924Z               20 BINARY_MULTIPLY
2022-11-23T01:32:30.4409016Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4409105Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:30.4409198Z               26 CALL_METHOD              3
2022-11-23T01:32:30.4409296Z               28 LOAD_CONST               4 (10)
2022-11-23T01:32:30.4409374Z               30 BINARY_ADD
2022-11-23T01:32:30.4409382Z 
2022-11-23T01:32:30.4409476Z 1243          32 BUILD_TUPLE              2
2022-11-23T01:32:30.4409557Z               34 RETURN_VALUE
2022-11-23T01:32:30.4409620Z  
2022-11-23T01:32:30.4409626Z 
2022-11-23T01:32:30.4409930Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244
2022-11-23T01:32:30.4410153Z [2022-11-23 01:27:45,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4410504Z [2022-11-23 01:27:45,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4410837Z [2022-11-23 01:27:45,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4411182Z [2022-11-23 01:27:45,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4411442Z [2022-11-23 01:27:45,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.4411718Z [2022-11-23 01:27:45,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4412031Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245
2022-11-23T01:32:30.4412314Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.4412734Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4413088Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4413469Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4413896Z [2022-11-23 01:27:45,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4414271Z [2022-11-23 01:27:45,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4414685Z [2022-11-23 01:27:45,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4415143Z [2022-11-23 01:27:45,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.4415406Z [2022-11-23 01:27:45,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4415708Z [2022-11-23 01:27:45,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4416023Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243
2022-11-23T01:32:30.4416293Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4416540Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4416915Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242>
2022-11-23T01:32:30.4417161Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4417400Z [2022-11-23 01:27:45,265] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4417652Z [2022-11-23 01:27:45,266] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4417930Z [2022-11-23 01:27:45,270] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4418126Z [2022-11-23 01:27:45,270] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4418288Z  __compiled_fn_252 <eval_with_key>.1556 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4418383Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4418475Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.4418693Z call_function, t, <built-in method t of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.4419015Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:30.4419185Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:30.4419436Z call_function, transpose, <built-in method transpose of type object at 0x7f209c394c60>, (mul, 0, 1), {}
2022-11-23T01:32:30.4419625Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T01:32:30.4419735Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:30.4419745Z 
2022-11-23T01:32:30.4420076Z [2022-11-23 01:27:45,270] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4420184Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4420281Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4420375Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4420467Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4420557Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4420650Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4420731Z              12 RETURN_VALUE
2022-11-23T01:32:30.4420736Z 
2022-11-23T01:32:30.4420801Z  
2022-11-23T01:32:30.4421130Z [2022-11-23 01:27:45,270] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4421248Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_252)
2022-11-23T01:32:30.4421345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4421435Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4421526Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4421619Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4421714Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4421797Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.4421890Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.4422001Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4422103Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4422197Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4422280Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4422387Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4422484Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4422566Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4422662Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.4422736Z              32 RETURN_VALUE
2022-11-23T01:32:30.4422743Z 
2022-11-23T01:32:30.4422810Z  
2022-11-23T01:32:30.4422999Z [2022-11-23 01:27:45,271] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4423078Z  - 
2022-11-23T01:32:30.4423203Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4423272Z             {
2022-11-23T01:32:30.4423417Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4423603Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.4423726Z                 'obj_weakref': None
2022-11-23T01:32:30.4423955Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4424025Z             }
2022-11-23T01:32:30.4424093Z             
2022-11-23T01:32:30.4424171Z  - 
2022-11-23T01:32:30.4424349Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4424413Z             {
2022-11-23T01:32:30.4424562Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4424675Z                 'code': None,
2022-11-23T01:32:30.4424915Z                 'obj_weakref': <weakref at 0x7f2023394680; to 'Tensor' at 0x7f2023070040>
2022-11-23T01:32:30.4425170Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4425242Z             }
2022-11-23T01:32:30.4425311Z             
2022-11-23T01:32:30.4425380Z  - 
2022-11-23T01:32:30.4425508Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.4425580Z             {
2022-11-23T01:32:30.4425727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4425840Z                 'code': None,
2022-11-23T01:32:30.4426044Z                 'obj_weakref': <weakref at 0x7f20233941d0; to 'Tensor' at 0x7f2072856070>
2022-11-23T01:32:30.4426297Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4426367Z             }
2022-11-23T01:32:30.4426429Z             
2022-11-23T01:32:30.4426504Z  - 
2022-11-23T01:32:30.4426644Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4426712Z             {
2022-11-23T01:32:30.4426851Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4427030Z                 'code': ['___check_obj_id(model, 139776001397312)'],
2022-11-23T01:32:30.4427147Z                 'obj_weakref': None
2022-11-23T01:32:30.4427378Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4427447Z             }
2022-11-23T01:32:30.4427515Z             
2022-11-23T01:32:30.4427594Z  - 
2022-11-23T01:32:30.4427720Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4427790Z             {
2022-11-23T01:32:30.4427923Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4428150Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4428275Z                 'obj_weakref': None
2022-11-23T01:32:30.4428501Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4428574Z             }
2022-11-23T01:32:30.4428643Z             
2022-11-23T01:32:30.4428718Z  - 
2022-11-23T01:32:30.4428849Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4428920Z             {
2022-11-23T01:32:30.4429044Z                 'guard_types': None,
2022-11-23T01:32:30.4429156Z                 'code': None,
2022-11-23T01:32:30.4429280Z                 'obj_weakref': None
2022-11-23T01:32:30.4429408Z                 'guarded_class': None
2022-11-23T01:32:30.4429476Z             }
2022-11-23T01:32:30.4429537Z             
2022-11-23T01:32:30.4429801Z [2022-11-23 01:27:45,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244
2022-11-23T01:32:30.4430173Z [2022-11-23 01:27:46,877] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rt/crtyz5otlamdrzwfaswmuxiau5zrqpo5hvzgw55cq5piokxbig5o.py
2022-11-23T01:32:30.4430521Z [2022-11-23 01:27:46,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244
2022-11-23T01:32:30.4430531Z 
2022-11-23T01:32:30.4430631Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4430708Z import torch
2022-11-23T01:32:30.4430782Z import random
2022-11-23T01:32:30.4430904Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4431024Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4431029Z 
2022-11-23T01:32:30.4431113Z aten = torch.ops.aten
2022-11-23T01:32:30.4431254Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4431351Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4431356Z 
2022-11-23T01:32:30.4431431Z import triton
2022-11-23T01:32:30.4431525Z import triton.language as tl
2022-11-23T01:32:30.4431698Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4431834Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4431846Z 
2022-11-23T01:32:30.4431873Z 
2022-11-23T01:32:30.4432006Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4432222Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4432347Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4432462Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4432566Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4432669Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.4432735Z {
2022-11-23T01:32:30.4432831Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4432898Z     {
2022-11-23T01:32:30.4432982Z         #pragma omp for 
2022-11-23T01:32:30.4433070Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4433142Z         {
2022-11-23T01:32:30.4433228Z             #pragma GCC ivdep
2022-11-23T01:32:30.4433316Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:30.4433378Z             {
2022-11-23T01:32:30.4433452Z                 {
2022-11-23T01:32:30.4433524Z                     {
2022-11-23T01:32:30.4433634Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:30.4433743Z                         auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:30.4433843Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4433946Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:30.4434011Z                     }
2022-11-23T01:32:30.4434081Z                 }
2022-11-23T01:32:30.4434149Z             }
2022-11-23T01:32:30.4434217Z         }
2022-11-23T01:32:30.4434300Z         #pragma omp for 
2022-11-23T01:32:30.4434387Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4434455Z         {
2022-11-23T01:32:30.4434601Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.4434742Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.4434833Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.4434974Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:30.4435066Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4435163Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.4435231Z         }
2022-11-23T01:32:30.4435324Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4435413Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.4435485Z         {
2022-11-23T01:32:30.4435574Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:30.4435678Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:30.4435768Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.4435872Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:30.4435955Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4436045Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.4436112Z         }
2022-11-23T01:32:30.4436179Z     }
2022-11-23T01:32:30.4436248Z }
2022-11-23T01:32:30.4436336Z ''')
2022-11-23T01:32:30.4436343Z 
2022-11-23T01:32:30.4436348Z 
2022-11-23T01:32:30.4436441Z async_compile.wait(globals())
2022-11-23T01:32:30.4436511Z del async_compile
2022-11-23T01:32:30.4436524Z 
2022-11-23T01:32:30.4436593Z def call(args):
2022-11-23T01:32:30.4436673Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4436750Z     args.clear()
2022-11-23T01:32:30.4436946Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4437141Z     buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4437338Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.4437412Z     del arg0_1
2022-11-23T01:32:30.4437477Z     del arg1_1
2022-11-23T01:32:30.4437596Z     return (buf0, buf1, )
2022-11-23T01:32:30.4437602Z 
2022-11-23T01:32:30.4437607Z 
2022-11-23T01:32:30.4437690Z if __name__ == "__main__":
2022-11-23T01:32:30.4437809Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4437962Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4438159Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4438353Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4438467Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4438479Z 
2022-11-23T01:32:30.4438545Z ok (1.623s)
2022-11-23T01:32:30.4439072Z   test_transposed_propagates_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.4439155Z   warnings.warn(
2022-11-23T01:32:30.4439396Z [2022-11-23 01:27:46,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4439710Z [2022-11-23 01:27:46,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2206
2022-11-23T01:32:30.4439924Z [2022-11-23 01:27:46,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4440163Z [2022-11-23 01:27:46,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4440435Z [2022-11-23 01:27:46,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4440682Z [2022-11-23 01:27:46,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4440907Z [2022-11-23 01:27:46,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4441152Z [2022-11-23 01:27:46,884] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4441390Z [2022-11-23 01:27:46,888] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4441584Z [2022-11-23 01:27:46,888] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4441735Z  __compiled_fn_253 <eval_with_key>.1562 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4441836Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4441934Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4442118Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4442211Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.4442217Z 
2022-11-23T01:32:30.4442536Z [2022-11-23 01:27:46,888] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:30.4442639Z 2206           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4442738Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4442816Z                4 BINARY_ADD
2022-11-23T01:32:30.4442897Z                6 RETURN_VALUE
2022-11-23T01:32:30.4442903Z 
2022-11-23T01:32:30.4442970Z  
2022-11-23T01:32:30.4443289Z [2022-11-23 01:27:46,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:30.4443398Z 2204           0 LOAD_GLOBAL              0 (__compiled_fn_253)
2022-11-23T01:32:30.4443496Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4443590Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4443686Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4443784Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4443865Z               10 RETURN_VALUE
2022-11-23T01:32:30.4443870Z 
2022-11-23T01:32:30.4443935Z  
2022-11-23T01:32:30.4444114Z [2022-11-23 01:27:46,888] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4444222Z  - 
2022-11-23T01:32:30.4444347Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4444417Z             {
2022-11-23T01:32:30.4444564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4444696Z                 'code': None,
2022-11-23T01:32:30.4444904Z                 'obj_weakref': <weakref at 0x7f2023378680; to 'Tensor' at 0x7f2151eeef20>
2022-11-23T01:32:30.4445155Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4445217Z             }
2022-11-23T01:32:30.4445284Z             
2022-11-23T01:32:30.4445359Z  - 
2022-11-23T01:32:30.4445481Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4445549Z             {
2022-11-23T01:32:30.4445694Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4445797Z                 'code': None,
2022-11-23T01:32:30.4446001Z                 'obj_weakref': <weakref at 0x7f2023339170; to 'Tensor' at 0x7f2023417ce0>
2022-11-23T01:32:30.4446251Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4446323Z             }
2022-11-23T01:32:30.4446394Z             
2022-11-23T01:32:30.4446655Z [2022-11-23 01:27:46,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245
2022-11-23T01:32:30.4447015Z [2022-11-23 01:27:48,436] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qr/cqrlxjqthftveyhg73dgkbqkk2i5q2qwntnkc6a655ngi5frmyy6.py
2022-11-23T01:32:30.4447277Z [2022-11-23 01:27:48,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245
2022-11-23T01:32:30.4447283Z 
2022-11-23T01:32:30.4447381Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4447448Z import torch
2022-11-23T01:32:30.4447522Z import random
2022-11-23T01:32:30.4447642Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4447771Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4447776Z 
2022-11-23T01:32:30.4447860Z aten = torch.ops.aten
2022-11-23T01:32:30.4447999Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4448100Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4448105Z 
2022-11-23T01:32:30.4448172Z import triton
2022-11-23T01:32:30.4448264Z import triton.language as tl
2022-11-23T01:32:30.4448390Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4448532Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4448537Z 
2022-11-23T01:32:30.4448542Z 
2022-11-23T01:32:30.4448679Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4448889Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4449015Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4449126Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.4449227Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.4449293Z {
2022-11-23T01:32:30.4449396Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4449461Z     {
2022-11-23T01:32:30.4449543Z         #pragma omp for 
2022-11-23T01:32:30.4449633Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4449702Z         {
2022-11-23T01:32:30.4449838Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.4449978Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.4450070Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4450168Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.4450236Z         }
2022-11-23T01:32:30.4450337Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4450426Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:30.4450487Z         {
2022-11-23T01:32:30.4450575Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.4450663Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.4450781Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4450870Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.4450939Z         }
2022-11-23T01:32:30.4451007Z     }
2022-11-23T01:32:30.4451089Z }
2022-11-23T01:32:30.4451175Z ''')
2022-11-23T01:32:30.4451180Z 
2022-11-23T01:32:30.4451184Z 
2022-11-23T01:32:30.4451278Z async_compile.wait(globals())
2022-11-23T01:32:30.4451355Z del async_compile
2022-11-23T01:32:30.4451360Z 
2022-11-23T01:32:30.4451434Z def call(args):
2022-11-23T01:32:30.4451514Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4451589Z     args.clear()
2022-11-23T01:32:30.4451820Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4452013Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.4452086Z     del arg0_1
2022-11-23T01:32:30.4452158Z     del arg1_1
2022-11-23T01:32:30.4452236Z     return (buf0, )
2022-11-23T01:32:30.4452241Z 
2022-11-23T01:32:30.4452249Z 
2022-11-23T01:32:30.4452330Z if __name__ == "__main__":
2022-11-23T01:32:30.4452450Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4452577Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4452787Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4452994Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4453114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4453120Z 
2022-11-23T01:32:30.4453192Z ok (1.559s)
2022-11-23T01:32:30.4453699Z   test_triton_conv_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.4453781Z   warnings.warn(
2022-11-23T01:32:30.4454036Z [2022-11-23 01:27:48,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing triton_conv
2022-11-23T01:32:30.4454347Z [2022-11-23 01:27:48,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2228
2022-11-23T01:32:30.4454569Z [2022-11-23 01:27:48,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4454922Z [2022-11-23 01:27:48,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4455239Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4455578Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4455952Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST bias [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4456353Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4456780Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.4457232Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dilation [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:30.4457739Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST groups [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:30.4458309Z [2022-11-23 01:27:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4458551Z [2022-11-23 01:27:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:30.4459053Z [2022-11-23 01:27:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2229
2022-11-23T01:32:30.4459275Z [2022-11-23 01:27:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y []
2022-11-23T01:32:30.4459523Z [2022-11-23 01:27:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4459772Z [2022-11-23 01:27:48,473] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing triton_conv
2022-11-23T01:32:30.4460015Z [2022-11-23 01:27:48,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4460254Z [2022-11-23 01:27:48,476] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4460446Z [2022-11-23 01:27:48,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4460586Z  __compiled_fn_254 <eval_with_key>.1568 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4460673Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4460759Z placeholder, w, w, (), {}
2022-11-23T01:32:30.4460853Z placeholder, bias, bias, (), {}
2022-11-23T01:32:30.4461120Z call_function, conv2d, <built-in method conv2d of type object at 0x7f209c394c60>, (x, w, bias, (1, 1), (0, 0), (1, 1), 1), {}
2022-11-23T01:32:30.4461218Z output, output, output, ((conv2d,),), {}
2022-11-23T01:32:30.4461224Z 
2022-11-23T01:32:30.4461565Z [2022-11-23 01:27:48,477] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2218 
2022-11-23T01:32:30.4461671Z 2228           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4461774Z                2 LOAD_METHOD              1 (conv2d)
2022-11-23T01:32:30.4461870Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4461965Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:30.4462064Z                8 LOAD_FAST                2 (bias)
2022-11-23T01:32:30.4462164Z               10 LOAD_FAST                3 (stride)
2022-11-23T01:32:30.4462260Z               12 LOAD_FAST                4 (padding)
2022-11-23T01:32:30.4462364Z               14 LOAD_FAST                5 (dilation)
2022-11-23T01:32:30.4462466Z               16 LOAD_FAST                6 (groups)
2022-11-23T01:32:30.4462561Z               18 CALL_METHOD              7
2022-11-23T01:32:30.4462657Z               20 STORE_FAST               7 (y)
2022-11-23T01:32:30.4462665Z 
2022-11-23T01:32:30.4462758Z 2229          22 LOAD_FAST                7 (y)
2022-11-23T01:32:30.4462840Z               24 RETURN_VALUE
2022-11-23T01:32:30.4462845Z 
2022-11-23T01:32:30.4462904Z  
2022-11-23T01:32:30.4463238Z [2022-11-23 01:27:48,477] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2218 
2022-11-23T01:32:30.4463356Z 2218           0 LOAD_GLOBAL              2 (__compiled_fn_254)
2022-11-23T01:32:30.4463452Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4463545Z                4 LOAD_FAST                1 (w)
2022-11-23T01:32:30.4463642Z                6 LOAD_FAST                2 (bias)
2022-11-23T01:32:30.4463785Z                8 CALL_FUNCTION            3
2022-11-23T01:32:30.4463885Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4463961Z               12 RETURN_VALUE
2022-11-23T01:32:30.4463966Z 
2022-11-23T01:32:30.4464062Z  
2022-11-23T01:32:30.4464254Z [2022-11-23 01:27:48,479] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4464335Z  - 
2022-11-23T01:32:30.4464460Z             local 'w' TENSOR_MATCH
2022-11-23T01:32:30.4464531Z             {
2022-11-23T01:32:30.4464680Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4464785Z                 'code': None,
2022-11-23T01:32:30.4464996Z                 'obj_weakref': <weakref at 0x7f2023338b30; to 'Tensor' at 0x7f2023379990>
2022-11-23T01:32:30.4465251Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4465322Z             }
2022-11-23T01:32:30.4465392Z             
2022-11-23T01:32:30.4465469Z  - 
2022-11-23T01:32:30.4465594Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4465656Z             {
2022-11-23T01:32:30.4465803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4465915Z                 'code': None,
2022-11-23T01:32:30.4466129Z                 'obj_weakref': <weakref at 0x7f20233381d0; to 'Tensor' at 0x7f20233782c0>
2022-11-23T01:32:30.4466377Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4466446Z             }
2022-11-23T01:32:30.4466516Z             
2022-11-23T01:32:30.4466585Z  - 
2022-11-23T01:32:30.4466715Z             local 'bias' TENSOR_MATCH
2022-11-23T01:32:30.4466783Z             {
2022-11-23T01:32:30.4466929Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4467040Z                 'code': None,
2022-11-23T01:32:30.4467248Z                 'obj_weakref': <weakref at 0x7f2023339ad0; to 'Tensor' at 0x7f2023378b30>
2022-11-23T01:32:30.4467503Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4467575Z             }
2022-11-23T01:32:30.4467636Z             
2022-11-23T01:32:30.4467713Z  - 
2022-11-23T01:32:30.4467852Z             local 'groups' CONSTANT_MATCH
2022-11-23T01:32:30.4467924Z             {
2022-11-23T01:32:30.4468070Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4468273Z                 'code': ['___check_type_id(groups, 94768292480384)', 'groups == 1'],
2022-11-23T01:32:30.4468391Z                 'obj_weakref': None
2022-11-23T01:32:30.4468614Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4468684Z             }
2022-11-23T01:32:30.4468753Z             
2022-11-23T01:32:30.4468828Z  - 
2022-11-23T01:32:30.4468960Z             local 'stride' EQUALS_MATCH
2022-11-23T01:32:30.4469029Z             {
2022-11-23T01:32:30.4469194Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.4469540Z                 'code': ['___check_type_id(stride, 94768292458112)', 'len(stride) == 2', '___check_type_id(stride[0], 94768292480384)', '___check_type_id(stride[1], 94768292480384)', 'stride == (1, 1)'],
2022-11-23T01:32:30.4469669Z                 'obj_weakref': None
2022-11-23T01:32:30.4469896Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4469966Z             }
2022-11-23T01:32:30.4470034Z             
2022-11-23T01:32:30.4470108Z  - 
2022-11-23T01:32:30.4470307Z             local 'padding' EQUALS_MATCH
2022-11-23T01:32:30.4470383Z             {
2022-11-23T01:32:30.4470580Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.4470969Z                 'code': ['___check_type_id(padding, 94768292458112)', 'len(padding) == 2', '___check_type_id(padding[0], 94768292480384)', '___check_type_id(padding[1], 94768292480384)', 'padding == (0, 0)'],
2022-11-23T01:32:30.4471094Z                 'obj_weakref': None
2022-11-23T01:32:30.4471351Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4471422Z             }
2022-11-23T01:32:30.4471491Z             
2022-11-23T01:32:30.4471586Z  - 
2022-11-23T01:32:30.4471724Z             local 'dilation' EQUALS_MATCH
2022-11-23T01:32:30.4471793Z             {
2022-11-23T01:32:30.4471967Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.4472322Z                 'code': ['___check_type_id(dilation, 94768292458112)', 'len(dilation) == 2', '___check_type_id(dilation[0], 94768292480384)', '___check_type_id(dilation[1], 94768292480384)', 'dilation == (1, 1)'],
2022-11-23T01:32:30.4472446Z                 'obj_weakref': None
2022-11-23T01:32:30.4472668Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4472736Z             }
2022-11-23T01:32:30.4472797Z             
2022-11-23T01:32:30.4472873Z  - 
2022-11-23T01:32:30.4473021Z             local 'stride[0]' CONSTANT_MATCH
2022-11-23T01:32:30.4473090Z             {
2022-11-23T01:32:30.4473236Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4473439Z                 'code': ['___check_type_id(stride[0], 94768292480384)', 'stride[0] == 1'],
2022-11-23T01:32:30.4473564Z                 'obj_weakref': None
2022-11-23T01:32:30.4473772Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4473840Z             }
2022-11-23T01:32:30.4473909Z             
2022-11-23T01:32:30.4473983Z  - 
2022-11-23T01:32:30.4474124Z             local 'stride[1]' CONSTANT_MATCH
2022-11-23T01:32:30.4474192Z             {
2022-11-23T01:32:30.4474337Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4474528Z                 'code': ['___check_type_id(stride[1], 94768292480384)', 'stride[1] == 1'],
2022-11-23T01:32:30.4474649Z                 'obj_weakref': None
2022-11-23T01:32:30.4474870Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4474938Z             }
2022-11-23T01:32:30.4475005Z             
2022-11-23T01:32:30.4475079Z  - 
2022-11-23T01:32:30.4475226Z             local 'padding[0]' CONSTANT_MATCH
2022-11-23T01:32:30.4475287Z             {
2022-11-23T01:32:30.4475430Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4475637Z                 'code': ['___check_type_id(padding[0], 94768292480384)', 'padding[0] == 0'],
2022-11-23T01:32:30.4475759Z                 'obj_weakref': None
2022-11-23T01:32:30.4475978Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4476052Z             }
2022-11-23T01:32:30.4476119Z             
2022-11-23T01:32:30.4476186Z  - 
2022-11-23T01:32:30.4476333Z             local 'padding[1]' CONSTANT_MATCH
2022-11-23T01:32:30.4476402Z             {
2022-11-23T01:32:30.4476548Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4476759Z                 'code': ['___check_type_id(padding[1], 94768292480384)', 'padding[1] == 0'],
2022-11-23T01:32:30.4476881Z                 'obj_weakref': None
2022-11-23T01:32:30.4477102Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4477163Z             }
2022-11-23T01:32:30.4477231Z             
2022-11-23T01:32:30.4477304Z  - 
2022-11-23T01:32:30.4477451Z             local 'dilation[0]' CONSTANT_MATCH
2022-11-23T01:32:30.4477518Z             {
2022-11-23T01:32:30.4477663Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4477872Z                 'code': ['___check_type_id(dilation[0], 94768292480384)', 'dilation[0] == 1'],
2022-11-23T01:32:30.4477987Z                 'obj_weakref': None
2022-11-23T01:32:30.4478202Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4478272Z             }
2022-11-23T01:32:30.4478339Z             
2022-11-23T01:32:30.4478451Z  - 
2022-11-23T01:32:30.4478600Z             local 'dilation[1]' CONSTANT_MATCH
2022-11-23T01:32:30.4478669Z             {
2022-11-23T01:32:30.4478806Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.4479038Z                 'code': ['___check_type_id(dilation[1], 94768292480384)', 'dilation[1] == 1'],
2022-11-23T01:32:30.4479161Z                 'obj_weakref': None
2022-11-23T01:32:30.4479377Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.4479447Z             }
2022-11-23T01:32:30.4479513Z             
2022-11-23T01:32:30.4479587Z  - 
2022-11-23T01:32:30.4479718Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4479789Z             {
2022-11-23T01:32:30.4479912Z                 'guard_types': None,
2022-11-23T01:32:30.4480024Z                 'code': None,
2022-11-23T01:32:30.4480145Z                 'obj_weakref': None
2022-11-23T01:32:30.4480273Z                 'guarded_class': None
2022-11-23T01:32:30.4480340Z             }
2022-11-23T01:32:30.4480401Z             
2022-11-23T01:32:30.4480665Z [2022-11-23 01:27:48,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246
2022-11-23T01:32:30.4481039Z [2022-11-23 01:27:48,487] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhddpeesae6kk3q7yuprhe6bfm25cf4eumi4zh3whgzf7cnhrgb.py
2022-11-23T01:32:30.4481306Z [2022-11-23 01:27:48,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246
2022-11-23T01:32:30.4481312Z 
2022-11-23T01:32:30.4481411Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4481487Z import torch
2022-11-23T01:32:30.4481561Z import random
2022-11-23T01:32:30.4481676Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4481801Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4481806Z 
2022-11-23T01:32:30.4481889Z aten = torch.ops.aten
2022-11-23T01:32:30.4482032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4482132Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4482138Z 
2022-11-23T01:32:30.4482211Z import triton
2022-11-23T01:32:30.4482323Z import triton.language as tl
2022-11-23T01:32:30.4482466Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4482619Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4482633Z 
2022-11-23T01:32:30.4482778Z from torch._inductor.triton_ops.conv_perf_model import early_config_prune
2022-11-23T01:32:30.4482930Z from torch._inductor.triton_ops.conv_perf_model import estimate_conv_time
2022-11-23T01:32:30.4483070Z from torch._inductor.triton_ops.autotune import conv_heuristics
2022-11-23T01:32:30.4483075Z 
2022-11-23T01:32:30.4483080Z 
2022-11-23T01:32:30.4483174Z async_compile.wait(globals())
2022-11-23T01:32:30.4483250Z del async_compile
2022-11-23T01:32:30.4483255Z 
2022-11-23T01:32:30.4483331Z def call(args):
2022-11-23T01:32:30.4483420Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.4483491Z     args.clear()
2022-11-23T01:32:30.4483635Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:30.4483757Z     assert_size_stride(buf0, (32, 32, 32, 32), (32768, 1024, 32, 1))
2022-11-23T01:32:30.4483834Z     del arg0_1
2022-11-23T01:32:30.4483907Z     del arg1_1
2022-11-23T01:32:30.4483978Z     del arg2_1
2022-11-23T01:32:30.4484054Z     return (buf0, )
2022-11-23T01:32:30.4484059Z 
2022-11-23T01:32:30.4484063Z 
2022-11-23T01:32:30.4484145Z if __name__ == "__main__":
2022-11-23T01:32:30.4484257Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4484386Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4484620Z     arg0_1 = rand_strided((32, 128, 32, 32), (131072, 1024, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4484837Z     arg1_1 = rand_strided((32, 128, 1, 1), (128, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4485062Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4485195Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.4485223Z 
2022-11-23T01:32:30.4485296Z ok (0.061s)
2022-11-23T01:32:30.4485804Z   test_triton_mm2_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.4485884Z   warnings.warn(
2022-11-23T01:32:30.4486116Z [2022-11-23 01:27:48,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4486434Z [2022-11-23 01:27:48,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2272
2022-11-23T01:32:30.4486658Z [2022-11-23 01:27:48,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4487023Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4487359Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4487828Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4488236Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4488670Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4489133Z [2022-11-23 01:27:48,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4489475Z [2022-11-23 01:27:48,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4489722Z [2022-11-23 01:27:48,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.4489956Z [2022-11-23 01:27:48,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4490198Z [2022-11-23 01:27:48,527] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4490437Z [2022-11-23 01:27:48,530] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4490637Z [2022-11-23 01:27:48,531] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4490780Z  __compiled_fn_255 <eval_with_key>.1574 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4490870Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4490957Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4491173Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (x, y), {}
2022-11-23T01:32:30.4491392Z call_function, relu, <built-in method relu of type object at 0x7f209c394c60>, (mm,), {}
2022-11-23T01:32:30.4491486Z output, output, output, ((relu,),), {}
2022-11-23T01:32:30.4491491Z 
2022-11-23T01:32:30.4491875Z [2022-11-23 01:27:48,531] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:30.4491991Z 2272           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4492104Z                2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:30.4492225Z                4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4492324Z                6 LOAD_METHOD              2 (mm)
2022-11-23T01:32:30.4492419Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4492516Z               10 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4492604Z               12 CALL_METHOD              2
2022-11-23T01:32:30.4492697Z               14 CALL_METHOD              1
2022-11-23T01:32:30.4492779Z               16 RETURN_VALUE
2022-11-23T01:32:30.4492784Z 
2022-11-23T01:32:30.4492849Z  
2022-11-23T01:32:30.4493174Z [2022-11-23 01:27:48,531] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:30.4493294Z 2270           0 LOAD_GLOBAL              3 (__compiled_fn_255)
2022-11-23T01:32:30.4493391Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4493485Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4493577Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4493674Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.4493757Z               10 RETURN_VALUE
2022-11-23T01:32:30.4493762Z 
2022-11-23T01:32:30.4493827Z  
2022-11-23T01:32:30.4494013Z [2022-11-23 01:27:48,531] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4494090Z  - 
2022-11-23T01:32:30.4494217Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4494279Z             {
2022-11-23T01:32:30.4494427Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4494539Z                 'code': None,
2022-11-23T01:32:30.4494751Z                 'obj_weakref': <weakref at 0x7f20233b2ca0; to 'Tensor' at 0x7f2022eeb100>
2022-11-23T01:32:30.4495003Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4495073Z             }
2022-11-23T01:32:30.4495141Z             
2022-11-23T01:32:30.4495209Z  - 
2022-11-23T01:32:30.4495334Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4495404Z             {
2022-11-23T01:32:30.4495550Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4495661Z                 'code': None,
2022-11-23T01:32:30.4495868Z                 'obj_weakref': <weakref at 0x7f2072855ee0; to 'Tensor' at 0x7f201e23b790>
2022-11-23T01:32:30.4496115Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4496176Z             }
2022-11-23T01:32:30.4496243Z             
2022-11-23T01:32:30.4496317Z  - 
2022-11-23T01:32:30.4496454Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4496524Z             {
2022-11-23T01:32:30.4496647Z                 'guard_types': None,
2022-11-23T01:32:30.4496764Z                 'code': None,
2022-11-23T01:32:30.4496880Z                 'obj_weakref': None
2022-11-23T01:32:30.4497005Z                 'guarded_class': None
2022-11-23T01:32:30.4497073Z             }
2022-11-23T01:32:30.4497142Z             
2022-11-23T01:32:30.4497402Z [2022-11-23 01:27:48,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247
2022-11-23T01:32:30.4497759Z [2022-11-23 01:27:50,072] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iz/cizlxk553kg5rife7siygjd66drwhhwxvszosrseuj6hrxa6cbs3.py
2022-11-23T01:32:30.4498021Z [2022-11-23 01:27:50,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247
2022-11-23T01:32:30.4498027Z 
2022-11-23T01:32:30.4498125Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4498192Z import torch
2022-11-23T01:32:30.4498271Z import random
2022-11-23T01:32:30.4498393Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4498556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4498562Z 
2022-11-23T01:32:30.4498647Z aten = torch.ops.aten
2022-11-23T01:32:30.4498896Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4499036Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4499042Z 
2022-11-23T01:32:30.4499109Z import triton
2022-11-23T01:32:30.4499202Z import triton.language as tl
2022-11-23T01:32:30.4499328Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4499474Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4499479Z 
2022-11-23T01:32:30.4499617Z from torch._inductor.triton_ops.autotune import mm_heuristics
2022-11-23T01:32:30.4499753Z from torch._inductor.triton_ops.autotune import mm_autotune
2022-11-23T01:32:30.4499758Z 
2022-11-23T01:32:30.4499763Z 
2022-11-23T01:32:30.4499904Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4500116Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4500233Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:30.4500300Z {
2022-11-23T01:32:30.4500401Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4500472Z     {
2022-11-23T01:32:30.4500553Z         #pragma omp for 
2022-11-23T01:32:30.4500646Z         for(long i0=0; i0<131072; i0+=1)
2022-11-23T01:32:30.4500714Z         {
2022-11-23T01:32:30.4500856Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.4500991Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:30.4501091Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.4501157Z         }
2022-11-23T01:32:30.4501258Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4501354Z         for(long i0=1048576; i0<1048576; i0+=1)
2022-11-23T01:32:30.4501423Z         {
2022-11-23T01:32:30.4501509Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:30.4501604Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:30.4501692Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.4501762Z         }
2022-11-23T01:32:30.4501828Z     }
2022-11-23T01:32:30.4501893Z }
2022-11-23T01:32:30.4501981Z ''')
2022-11-23T01:32:30.4501987Z 
2022-11-23T01:32:30.4501991Z 
2022-11-23T01:32:30.4502079Z async_compile.wait(globals())
2022-11-23T01:32:30.4502156Z del async_compile
2022-11-23T01:32:30.4502162Z 
2022-11-23T01:32:30.4502236Z def call(args):
2022-11-23T01:32:30.4502320Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4502396Z     args.clear()
2022-11-23T01:32:30.4502610Z     buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4502711Z     aten.mm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:32:30.4502786Z     del arg0_1
2022-11-23T01:32:30.4502851Z     del arg1_1
2022-11-23T01:32:30.4502942Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.4503051Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.4503128Z     return (buf1, )
2022-11-23T01:32:30.4503136Z 
2022-11-23T01:32:30.4503140Z 
2022-11-23T01:32:30.4503222Z if __name__ == "__main__":
2022-11-23T01:32:30.4503341Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4503472Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4503675Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4503878Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4503998Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4504003Z 
2022-11-23T01:32:30.4504076Z ok (1.586s)
2022-11-23T01:32:30.4504377Z   test_triu_cpu (__main__.CpuTests) ... [2022-11-23 01:27:50,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4504695Z [2022-11-23 01:27:50,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4504955Z [2022-11-23 01:27:50,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4505210Z [2022-11-23 01:27:50,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4505507Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4505821Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4506166Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4506490Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4506865Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160> 
2022-11-23T01:32:30.4506967Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4507071Z                2 LOAD_METHOD              1 (triu)
2022-11-23T01:32:30.4507167Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4507264Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.4507360Z                8 CALL_METHOD              2
2022-11-23T01:32:30.4507453Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4507547Z               12 LOAD_METHOD              1 (triu)
2022-11-23T01:32:30.4507641Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4507738Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:30.4507832Z               18 CALL_METHOD              2
2022-11-23T01:32:30.4507929Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4508027Z               22 LOAD_METHOD              1 (triu)
2022-11-23T01:32:30.4508113Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4508208Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4508303Z               28 CALL_METHOD              2
2022-11-23T01:32:30.4508396Z               30 BUILD_TUPLE              3
2022-11-23T01:32:30.4508479Z               32 RETURN_VALUE
2022-11-23T01:32:30.4508544Z  
2022-11-23T01:32:30.4508549Z 
2022-11-23T01:32:30.4508867Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161
2022-11-23T01:32:30.4509088Z [2022-11-23 01:27:50,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.4509388Z [2022-11-23 01:27:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4509638Z [2022-11-23 01:27:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T01:32:30.4509920Z [2022-11-23 01:27:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:30.4510241Z [2022-11-23 01:27:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4510595Z [2022-11-23 01:27:50,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.4510926Z [2022-11-23 01:27:50,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4511206Z [2022-11-23 01:27:50,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:30.4511545Z [2022-11-23 01:27:50,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:30.4511903Z [2022-11-23 01:27:50,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4512231Z [2022-11-23 01:27:50,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4512609Z [2022-11-23 01:27:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4512908Z [2022-11-23 01:27:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:30.4513236Z [2022-11-23 01:27:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:30.4513611Z [2022-11-23 01:27:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4513910Z [2022-11-23 01:27:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4514159Z [2022-11-23 01:27:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4514540Z [2022-11-23 01:27:50,111] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160>
2022-11-23T01:32:30.4514789Z [2022-11-23 01:27:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4515024Z [2022-11-23 01:27:50,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4515287Z [2022-11-23 01:27:50,112] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4515539Z [2022-11-23 01:27:50,116] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4515728Z [2022-11-23 01:27:50,116] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4515870Z  __compiled_fn_256 <eval_with_key>.1580 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4515966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4516076Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T01:32:30.4516189Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T01:32:30.4516302Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T01:32:30.4516423Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T01:32:30.4516428Z 
2022-11-23T01:32:30.4516750Z [2022-11-23 01:27:50,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4516844Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4516940Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4517037Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4517139Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4517230Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4517324Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4517405Z              12 RETURN_VALUE
2022-11-23T01:32:30.4517411Z 
2022-11-23T01:32:30.4517475Z  
2022-11-23T01:32:30.4517790Z [2022-11-23 01:27:50,117] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4517905Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_256)
2022-11-23T01:32:30.4518002Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4518130Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4518216Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4518310Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4518422Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4518550Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4518646Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4518729Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4518834Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4518927Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4519008Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4519116Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4519202Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4519284Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4519377Z              30 BUILD_TUPLE              3
2022-11-23T01:32:30.4519462Z              32 RETURN_VALUE
2022-11-23T01:32:30.4519467Z 
2022-11-23T01:32:30.4519532Z  
2022-11-23T01:32:30.4519722Z [2022-11-23 01:27:50,117] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4519800Z  - 
2022-11-23T01:32:30.4519917Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4519987Z             {
2022-11-23T01:32:30.4520133Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4520329Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4520452Z                 'obj_weakref': None
2022-11-23T01:32:30.4520678Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4520748Z             }
2022-11-23T01:32:30.4520816Z             
2022-11-23T01:32:30.4520884Z  - 
2022-11-23T01:32:30.4521013Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4521081Z             {
2022-11-23T01:32:30.4521229Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4521343Z                 'code': None,
2022-11-23T01:32:30.4521557Z                 'obj_weakref': <weakref at 0x7f207277ca40; to 'Tensor' at 0x7f201e37a200>
2022-11-23T01:32:30.4521808Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4521870Z             }
2022-11-23T01:32:30.4521939Z             
2022-11-23T01:32:30.4522014Z  - 
2022-11-23T01:32:30.4522149Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4522217Z             {
2022-11-23T01:32:30.4522358Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4522525Z                 'code': ['___check_obj_id(model, 139780374074352)'],
2022-11-23T01:32:30.4522649Z                 'obj_weakref': None
2022-11-23T01:32:30.4522879Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4522948Z             }
2022-11-23T01:32:30.4523018Z             
2022-11-23T01:32:30.4523097Z  - 
2022-11-23T01:32:30.4523222Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4523283Z             {
2022-11-23T01:32:30.4523425Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4523646Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4523770Z                 'obj_weakref': None
2022-11-23T01:32:30.4523993Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4524061Z             }
2022-11-23T01:32:30.4524128Z             
2022-11-23T01:32:30.4524195Z  - 
2022-11-23T01:32:30.4524333Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.4524403Z             {
2022-11-23T01:32:30.4524527Z                 'guard_types': None,
2022-11-23T01:32:30.4524638Z                 'code': None,
2022-11-23T01:32:30.4524763Z                 'obj_weakref': None
2022-11-23T01:32:30.4524888Z                 'guarded_class': None
2022-11-23T01:32:30.4524993Z             }
2022-11-23T01:32:30.4525062Z             
2022-11-23T01:32:30.4525324Z [2022-11-23 01:27:50,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248
2022-11-23T01:32:30.4525718Z [2022-11-23 01:27:51,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2o/c2oogaqqkf54fwbliaqw7mrjlra76c7sgkaav44uglchmdp2742l.py
2022-11-23T01:32:30.4525985Z [2022-11-23 01:27:51,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248
2022-11-23T01:32:30.4525991Z 
2022-11-23T01:32:30.4526093Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4526166Z import torch
2022-11-23T01:32:30.4526238Z import random
2022-11-23T01:32:30.4526353Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4526481Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4526486Z 
2022-11-23T01:32:30.4526568Z aten = torch.ops.aten
2022-11-23T01:32:30.4526711Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4526808Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4526814Z 
2022-11-23T01:32:30.4526887Z import triton
2022-11-23T01:32:30.4526979Z import triton.language as tl
2022-11-23T01:32:30.4527110Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4527245Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4527250Z 
2022-11-23T01:32:30.4527255Z 
2022-11-23T01:32:30.4527393Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4527603Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4527727Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4527834Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4527940Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.4528042Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:30.4528107Z {
2022-11-23T01:32:30.4528205Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4528273Z     {
2022-11-23T01:32:30.4528369Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.4528456Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.4528528Z         {
2022-11-23T01:32:30.4528618Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:30.4528679Z             {
2022-11-23T01:32:30.4528767Z                 #pragma GCC ivdep
2022-11-23T01:32:30.4528862Z                 for(long i2=0; i2<10; i2+=1)
2022-11-23T01:32:30.4528932Z                 {
2022-11-23T01:32:30.4529003Z                     {
2022-11-23T01:32:30.4529076Z                         {
2022-11-23T01:32:30.4529196Z                             auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)];
2022-11-23T01:32:30.4529379Z                             auto tmp0 = static_cast<int>((-1) + i2 + ((-1)*i1));
2022-11-23T01:32:30.4529493Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:30.4529601Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:30.4529718Z                             auto tmp4 = static_cast<float>(0);
2022-11-23T01:32:30.4529827Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:30.4530007Z                             auto tmp6 = static_cast<int>(i2 + ((-1)*i1));
2022-11-23T01:32:30.4530110Z                             auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:30.4530219Z                             auto tmp8 = tmp7 ? tmp3 : tmp4;
2022-11-23T01:32:30.4530395Z                             auto tmp9 = static_cast<int>((-2) + i2 + ((-1)*i1));
2022-11-23T01:32:30.4530499Z                             auto tmp10 = tmp9 >= tmp1;
2022-11-23T01:32:30.4530612Z                             auto tmp11 = tmp10 ? tmp3 : tmp4;
2022-11-23T01:32:30.4530724Z                             out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5;
2022-11-23T01:32:30.4530834Z                             out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8;
2022-11-23T01:32:30.4530973Z                             out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11;
2022-11-23T01:32:30.4531048Z                         }
2022-11-23T01:32:30.4531113Z                     }
2022-11-23T01:32:30.4531185Z                 }
2022-11-23T01:32:30.4531276Z             }
2022-11-23T01:32:30.4531344Z         }
2022-11-23T01:32:30.4531410Z     }
2022-11-23T01:32:30.4531474Z }
2022-11-23T01:32:30.4531559Z ''')
2022-11-23T01:32:30.4531565Z 
2022-11-23T01:32:30.4531569Z 
2022-11-23T01:32:30.4531657Z async_compile.wait(globals())
2022-11-23T01:32:30.4531735Z del async_compile
2022-11-23T01:32:30.4531740Z 
2022-11-23T01:32:30.4531815Z def call(args):
2022-11-23T01:32:30.4531890Z     arg0_1, = args
2022-11-23T01:32:30.4531967Z     args.clear()
2022-11-23T01:32:30.4532177Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4532385Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4532593Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4532782Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:30.4532860Z     del arg0_1
2022-11-23T01:32:30.4532947Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4532952Z 
2022-11-23T01:32:30.4532957Z 
2022-11-23T01:32:30.4533037Z if __name__ == "__main__":
2022-11-23T01:32:30.4533158Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4533285Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4533494Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4533608Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4533613Z 
2022-11-23T01:32:30.4533678Z ok (1.613s)
2022-11-23T01:32:30.4533980Z   test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4534299Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4534518Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4534776Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4535051Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4535369Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4535706Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4536033Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4536405Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799> 
2022-11-23T01:32:30.4536504Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4536603Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:30.4536702Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4536800Z                6 CALL_METHOD              1
2022-11-23T01:32:30.4536901Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4537003Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:30.4537097Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4537236Z               14 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4537359Z               16 CALL_METHOD              2
2022-11-23T01:32:30.4537455Z               18 BUILD_TUPLE              2
2022-11-23T01:32:30.4537538Z               20 RETURN_VALUE
2022-11-23T01:32:30.4537602Z  
2022-11-23T01:32:30.4537629Z 
2022-11-23T01:32:30.4537948Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800
2022-11-23T01:32:30.4538174Z [2022-11-23 01:27:51,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4538543Z [2022-11-23 01:27:51,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4538980Z [2022-11-23 01:27:51,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4539333Z [2022-11-23 01:27:51,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4539584Z [2022-11-23 01:27:51,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:32:30.4539979Z [2022-11-23 01:27:51,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4540328Z [2022-11-23 01:27:51,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4540704Z [2022-11-23 01:27:51,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4541115Z [2022-11-23 01:27:51,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4541382Z [2022-11-23 01:27:51,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:30.4541629Z [2022-11-23 01:27:51,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4542001Z [2022-11-23 01:27:51,706] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799>
2022-11-23T01:32:30.4542243Z [2022-11-23 01:27:51,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4542479Z [2022-11-23 01:27:51,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4542738Z [2022-11-23 01:27:51,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4542981Z [2022-11-23 01:27:51,711] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4543177Z [2022-11-23 01:27:51,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4543318Z  __compiled_fn_257 <eval_with_key>.1586 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4543414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4543644Z call_function, unbind, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.4543837Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T01:32:30.4544031Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T01:32:30.4544225Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T01:32:30.4544410Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T01:32:30.4544694Z call_function, unbind_1, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:30.4544892Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T01:32:30.4545117Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T01:32:30.4545311Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T01:32:30.4545504Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T01:32:30.4545690Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T01:32:30.4545696Z 
2022-11-23T01:32:30.4546024Z [2022-11-23 01:27:51,712] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4546119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4546218Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4546315Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4546415Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4546505Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4546602Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4546684Z              12 RETURN_VALUE
2022-11-23T01:32:30.4546689Z 
2022-11-23T01:32:30.4546755Z  
2022-11-23T01:32:30.4547072Z [2022-11-23 01:27:51,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4547190Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_257)
2022-11-23T01:32:30.4547292Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4547388Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4547471Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4547567Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4547681Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4547785Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4547880Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4547964Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4548071Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4548166Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4548247Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4548354Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4548441Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4548523Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4548631Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4548725Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4548807Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4548900Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.4549008Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4549102Z              40 LOAD_CONST               5 (4)
2022-11-23T01:32:30.4549176Z              42 BINARY_SUBSCR
2022-11-23T01:32:30.4549290Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4549387Z              46 LOAD_CONST               6 (5)
2022-11-23T01:32:30.4549467Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.4549573Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4549669Z              52 LOAD_CONST               7 (6)
2022-11-23T01:32:30.4549749Z              54 BINARY_SUBSCR
2022-11-23T01:32:30.4549848Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4549941Z              58 LOAD_CONST               8 (7)
2022-11-23T01:32:30.4550022Z              60 BINARY_SUBSCR
2022-11-23T01:32:30.4550115Z              62 BUILD_TUPLE              4
2022-11-23T01:32:30.4550208Z              64 BUILD_TUPLE              2
2022-11-23T01:32:30.4550389Z              66 RETURN_VALUE
2022-11-23T01:32:30.4550396Z 
2022-11-23T01:32:30.4550475Z  
2022-11-23T01:32:30.4550684Z [2022-11-23 01:27:51,713] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4550815Z  - 
2022-11-23T01:32:30.4550941Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4551012Z             {
2022-11-23T01:32:30.4551161Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4551353Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4551477Z                 'obj_weakref': None
2022-11-23T01:32:30.4551696Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4551766Z             }
2022-11-23T01:32:30.4551835Z             
2022-11-23T01:32:30.4551912Z  - 
2022-11-23T01:32:30.4552042Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4552111Z             {
2022-11-23T01:32:30.4552261Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4552367Z                 'code': None,
2022-11-23T01:32:30.4552578Z                 'obj_weakref': <weakref at 0x7f20234179c0; to 'Tensor' at 0x7f207277c180>
2022-11-23T01:32:30.4552837Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4552905Z             }
2022-11-23T01:32:30.4552973Z             
2022-11-23T01:32:30.4553049Z  - 
2022-11-23T01:32:30.4553185Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4553247Z             {
2022-11-23T01:32:30.4553386Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4553561Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4553685Z                 'obj_weakref': None
2022-11-23T01:32:30.4553919Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4553988Z             }
2022-11-23T01:32:30.4554056Z             
2022-11-23T01:32:30.4554127Z  - 
2022-11-23T01:32:30.4554255Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4554322Z             {
2022-11-23T01:32:30.4554464Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4554692Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4554815Z                 'obj_weakref': None
2022-11-23T01:32:30.4555042Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4555104Z             }
2022-11-23T01:32:30.4555173Z             
2022-11-23T01:32:30.4555249Z  - 
2022-11-23T01:32:30.4555387Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4555457Z             {
2022-11-23T01:32:30.4555582Z                 'guard_types': None,
2022-11-23T01:32:30.4555694Z                 'code': None,
2022-11-23T01:32:30.4555810Z                 'obj_weakref': None
2022-11-23T01:32:30.4555936Z                 'guarded_class': None
2022-11-23T01:32:30.4556007Z             }
2022-11-23T01:32:30.4556076Z             
2022-11-23T01:32:30.4556339Z [2022-11-23 01:27:51,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249
2022-11-23T01:32:30.4556701Z [2022-11-23 01:27:51,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3u/c3uge5yk6ms5xfbn6a3tgmks6pdbsy6njcp4pcsnpdkqqgcazwxi.py
2022-11-23T01:32:30.4556966Z [2022-11-23 01:27:51,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249
2022-11-23T01:32:30.4556972Z 
2022-11-23T01:32:30.4557072Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4557139Z import torch
2022-11-23T01:32:30.4557216Z import random
2022-11-23T01:32:30.4557337Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4557464Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4557469Z 
2022-11-23T01:32:30.4557552Z aten = torch.ops.aten
2022-11-23T01:32:30.4557725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4557824Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4557829Z 
2022-11-23T01:32:30.4557897Z import triton
2022-11-23T01:32:30.4557990Z import triton.language as tl
2022-11-23T01:32:30.4558139Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4558283Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4558289Z 
2022-11-23T01:32:30.4558294Z 
2022-11-23T01:32:30.4558386Z async_compile.wait(globals())
2022-11-23T01:32:30.4558465Z del async_compile
2022-11-23T01:32:30.4558470Z 
2022-11-23T01:32:30.4558545Z def call(args):
2022-11-23T01:32:30.4558621Z     arg0_1, = args
2022-11-23T01:32:30.4558691Z     args.clear()
2022-11-23T01:32:30.4558968Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T01:32:30.4558975Z 
2022-11-23T01:32:30.4558979Z 
2022-11-23T01:32:30.4559061Z if __name__ == "__main__":
2022-11-23T01:32:30.4559183Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4559313Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4559525Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4559638Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4559643Z 
2022-11-23T01:32:30.4559716Z ok (0.030s)
2022-11-23T01:32:30.4560040Z   test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4560346Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4560568Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4560820Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4561099Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4561415Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4561761Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4562085Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4562455Z [2022-11-23 01:27:51,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:30.4562555Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4562661Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:30.4562797Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4562891Z               6 CALL_METHOD              1
2022-11-23T01:32:30.4562986Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:30.4563089Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:30.4563188Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:30.4563194Z 
2022-11-23T01:32:30.4563290Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4563389Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:30.4563530Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4563615Z              20 CALL_METHOD              1
2022-11-23T01:32:30.4563771Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:30.4563870Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:30.4563970Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:30.4563997Z 
2022-11-23T01:32:30.4564093Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:30.4564098Z 
2022-11-23T01:32:30.4564196Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:30.4564201Z 
2022-11-23T01:32:30.4564296Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:30.4564301Z 
2022-11-23T01:32:30.4564398Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:30.4564403Z 
2022-11-23T01:32:30.4564491Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4564591Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:30.4564733Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4564830Z              42 CALL_METHOD              1
2022-11-23T01:32:30.4564835Z 
2022-11-23T01:32:30.4564933Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4565030Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4565126Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:30.4565229Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:30.4565362Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4565453Z              54 CALL_METHOD              1
2022-11-23T01:32:30.4565458Z 
2022-11-23T01:32:30.4565553Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4565646Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:30.4565741Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:30.4565841Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:30.4565979Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4566063Z              66 CALL_METHOD              1
2022-11-23T01:32:30.4566079Z 
2022-11-23T01:32:30.4566167Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4566265Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:30.4566402Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4566495Z              74 CALL_METHOD              1
2022-11-23T01:32:30.4566504Z 
2022-11-23T01:32:30.4566596Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4566693Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:30.4566828Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4566912Z              82 CALL_METHOD              1
2022-11-23T01:32:30.4566917Z 
2022-11-23T01:32:30.4567011Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4567111Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:30.4567249Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4567343Z              90 CALL_METHOD              1
2022-11-23T01:32:30.4567348Z 
2022-11-23T01:32:30.4567440Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4567541Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:30.4567681Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4567765Z              98 CALL_METHOD              1
2022-11-23T01:32:30.4567773Z 
2022-11-23T01:32:30.4567867Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:30.4567949Z             102 RETURN_VALUE
2022-11-23T01:32:30.4568015Z  
2022-11-23T01:32:30.4568021Z 
2022-11-23T01:32:30.4568341Z [2022-11-23 01:27:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:30.4568561Z [2022-11-23 01:27:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4568808Z [2022-11-23 01:27:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:30.4569087Z [2022-11-23 01:27:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.4569445Z [2022-11-23 01:27:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:30.4569723Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:30.4569998Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4570249Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:30.4570559Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:30.4570772Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4571016Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:30.4571288Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.4571605Z [2022-11-23 01:27:51,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:30.4571862Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:30.4572125Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4572371Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:30.4572678Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:30.4572900Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:30.4573211Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:30.4573460Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:30.4573763Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:30.4574034Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4574345Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:30.4574648Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4574955Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:30.4575270Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4575619Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4576001Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.4576454Z [2022-11-23 01:27:51,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.4576765Z [2022-11-23 01:27:51,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:30.4577132Z [2022-11-23 01:27:51,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4577503Z [2022-11-23 01:27:51,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4577914Z [2022-11-23 01:27:51,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4578283Z [2022-11-23 01:27:51,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4578692Z [2022-11-23 01:27:51,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.4579318Z [2022-11-23 01:27:51,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.4579672Z [2022-11-23 01:27:51,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:30.4580104Z [2022-11-23 01:27:51,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4580568Z [2022-11-23 01:27:51,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4581072Z [2022-11-23 01:27:51,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4581537Z [2022-11-23 01:27:51,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4582046Z [2022-11-23 01:27:51,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:30.4582604Z [2022-11-23 01:27:51,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:30.4582965Z [2022-11-23 01:27:51,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:30.4583422Z [2022-11-23 01:27:51,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4583923Z [2022-11-23 01:27:51,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4584516Z [2022-11-23 01:27:51,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:30.4585046Z [2022-11-23 01:27:51,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:30.4585358Z [2022-11-23 01:27:51,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:30.4585782Z [2022-11-23 01:27:51,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4586244Z [2022-11-23 01:27:51,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4586739Z [2022-11-23 01:27:51,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:30.4587269Z [2022-11-23 01:27:51,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:30.4587590Z [2022-11-23 01:27:51,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:30.4588038Z [2022-11-23 01:27:51,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4588523Z [2022-11-23 01:27:51,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4589036Z [2022-11-23 01:27:51,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:30.4589588Z [2022-11-23 01:27:51,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:30.4589902Z [2022-11-23 01:27:51,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:30.4590450Z [2022-11-23 01:27:51,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4591009Z [2022-11-23 01:27:51,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4591555Z [2022-11-23 01:27:51,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:30.4592162Z [2022-11-23 01:27:51,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:30.4592465Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:30.4592976Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4593230Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4593606Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:30.4593856Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4594096Z [2022-11-23 01:27:51,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4594354Z [2022-11-23 01:27:51,747] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4594608Z [2022-11-23 01:27:51,755] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4594804Z [2022-11-23 01:27:51,755] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4594949Z  __compiled_fn_258 <eval_with_key>.1592 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4595038Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4595178Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:30.4595368Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:30.4595561Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:30.4595698Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:30.4595886Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:30.4596071Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:30.4596207Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.4596376Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:30.4596510Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:30.4596684Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:30.4596819Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:30.4596972Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:30.4597118Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:30.4597254Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:30.4597384Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:30.4597572Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:30.4597579Z 
2022-11-23T01:32:30.4597909Z [2022-11-23 01:27:51,756] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4598010Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4598137Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4598233Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4598337Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4598457Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4598545Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4598627Z              12 RETURN_VALUE
2022-11-23T01:32:30.4598632Z 
2022-11-23T01:32:30.4598699Z  
2022-11-23T01:32:30.4599029Z [2022-11-23 01:27:51,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4599147Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_258)
2022-11-23T01:32:30.4599245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4599343Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4599427Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4599514Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4599628Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4599739Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4599833Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4599919Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4600026Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4600120Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4600195Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4600302Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4600396Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4600478Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4600586Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4600679Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4600760Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4600861Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4600955Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.4601036Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.4601143Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4601239Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:30.4601320Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.4601425Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4601512Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:30.4601591Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.4601696Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4601792Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:30.4601873Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.4601979Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4602072Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:30.4602148Z              64 BINARY_SUBSCR
2022-11-23T01:32:30.4602257Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4602351Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:30.4602433Z              70 BINARY_SUBSCR
2022-11-23T01:32:30.4602539Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4602633Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:30.4602714Z              76 BINARY_SUBSCR
2022-11-23T01:32:30.4602800Z              78 BUILD_TUPLE             11
2022-11-23T01:32:30.4602882Z              80 RETURN_VALUE
2022-11-23T01:32:30.4602887Z 
2022-11-23T01:32:30.4602954Z  
2022-11-23T01:32:30.4609818Z [2022-11-23 01:27:51,756] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4609934Z  - 
2022-11-23T01:32:30.4610066Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4610139Z             {
2022-11-23T01:32:30.4610280Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4610532Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4610661Z                 'obj_weakref': None
2022-11-23T01:32:30.4610888Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4610988Z             }
2022-11-23T01:32:30.4611058Z             
2022-11-23T01:32:30.4611137Z  - 
2022-11-23T01:32:30.4611260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4611331Z             {
2022-11-23T01:32:30.4611482Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4611594Z                 'code': None,
2022-11-23T01:32:30.4611806Z                 'obj_weakref': <weakref at 0x7f2068050f40; to 'Tensor' at 0x7f201e321da0>
2022-11-23T01:32:30.4612059Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4612130Z             }
2022-11-23T01:32:30.4612202Z             
2022-11-23T01:32:30.4612271Z  - 
2022-11-23T01:32:30.4612410Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4612479Z             {
2022-11-23T01:32:30.4612619Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4612797Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4612921Z                 'obj_weakref': None
2022-11-23T01:32:30.4613152Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4613215Z             }
2022-11-23T01:32:30.4613282Z             
2022-11-23T01:32:30.4613359Z  - 
2022-11-23T01:32:30.4613486Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4613555Z             {
2022-11-23T01:32:30.4613698Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4613910Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4614038Z                 'obj_weakref': None
2022-11-23T01:32:30.4614268Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4614338Z             }
2022-11-23T01:32:30.4614407Z             
2022-11-23T01:32:30.4614671Z [2022-11-23 01:27:51,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250
2022-11-23T01:32:30.4615041Z [2022-11-23 01:27:53,370] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyqeaof3c2xiiavvfic4zoz6rzyg6vrjt5h2sehzlfkfrbco3eiz.py
2022-11-23T01:32:30.4615306Z [2022-11-23 01:27:53,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250
2022-11-23T01:32:30.4615547Z [2022-11-23 01:27:53,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4615850Z [2022-11-23 01:27:53,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4616078Z [2022-11-23 01:27:53,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4616337Z [2022-11-23 01:27:53,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4616619Z [2022-11-23 01:27:53,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4616940Z [2022-11-23 01:27:53,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4617287Z [2022-11-23 01:27:53,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4617609Z [2022-11-23 01:27:53,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4618011Z [2022-11-23 01:27:53,375] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:30.4618114Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4618217Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:30.4618377Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4618473Z               6 CALL_METHOD              1
2022-11-23T01:32:30.4618570Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:30.4618673Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:30.4618771Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:30.4618777Z 
2022-11-23T01:32:30.4619129Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4619235Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:30.4619372Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4619467Z              20 CALL_METHOD              1
2022-11-23T01:32:30.4619567Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:30.4619667Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:30.4619766Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:30.4619771Z 
2022-11-23T01:32:30.4619874Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:30.4619880Z 
2022-11-23T01:32:30.4619979Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:30.4619984Z 
2022-11-23T01:32:30.4620080Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:30.4620086Z 
2022-11-23T01:32:30.4620176Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:30.4620188Z 
2022-11-23T01:32:30.4620277Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4620376Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:30.4620518Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4620611Z              42 CALL_METHOD              1
2022-11-23T01:32:30.4620616Z 
2022-11-23T01:32:30.4620713Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4620809Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4620907Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:30.4620998Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:30.4621143Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4621236Z              54 CALL_METHOD              1
2022-11-23T01:32:30.4621241Z 
2022-11-23T01:32:30.4621338Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4621434Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:30.4621528Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:30.4621627Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:30.4621765Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4621850Z              66 CALL_METHOD              1
2022-11-23T01:32:30.4621855Z 
2022-11-23T01:32:30.4621951Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4622055Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:30.4622193Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4622284Z              74 CALL_METHOD              1
2022-11-23T01:32:30.4622291Z 
2022-11-23T01:32:30.4622385Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4622485Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:30.4622623Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4622709Z              82 CALL_METHOD              1
2022-11-23T01:32:30.4622714Z 
2022-11-23T01:32:30.4622808Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4622906Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:30.4623044Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4623137Z              90 CALL_METHOD              1
2022-11-23T01:32:30.4623142Z 
2022-11-23T01:32:30.4623236Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4623400Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:30.4623535Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.4623629Z              98 CALL_METHOD              1
2022-11-23T01:32:30.4623661Z 
2022-11-23T01:32:30.4623756Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:30.4623840Z             102 RETURN_VALUE
2022-11-23T01:32:30.4623907Z  
2022-11-23T01:32:30.4623913Z 
2022-11-23T01:32:30.4624230Z [2022-11-23 01:27:53,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:30.4624444Z [2022-11-23 01:27:53,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4624690Z [2022-11-23 01:27:53,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:30.4624967Z [2022-11-23 01:27:53,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:30.4625273Z [2022-11-23 01:27:53,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:30.4625531Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:30.4625811Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4626062Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:30.4626376Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:30.4626588Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4626833Z [2022-11-23 01:27:53,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:30.4627121Z [2022-11-23 01:27:53,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:30.4627434Z [2022-11-23 01:27:53,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:30.4627696Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:30.4627960Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4628210Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:30.4628521Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:30.4628743Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:30.4629059Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:30.4629312Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:30.4629621Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:30.4629890Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4630202Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:30.4630643Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4630950Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:30.4631300Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4631656Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4632039Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:30.4632464Z [2022-11-23 01:27:53,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:30.4632775Z [2022-11-23 01:27:53,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:30.4633124Z [2022-11-23 01:27:53,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4633498Z [2022-11-23 01:27:53,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4633910Z [2022-11-23 01:27:53,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4634288Z [2022-11-23 01:27:53,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4634689Z [2022-11-23 01:27:53,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.4635132Z [2022-11-23 01:27:53,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.4635436Z [2022-11-23 01:27:53,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:30.4635799Z [2022-11-23 01:27:53,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4636185Z [2022-11-23 01:27:53,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4636617Z [2022-11-23 01:27:53,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4637009Z [2022-11-23 01:27:53,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4637439Z [2022-11-23 01:27:53,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:30.4637938Z [2022-11-23 01:27:53,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:30.4638266Z [2022-11-23 01:27:53,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:30.4638656Z [2022-11-23 01:27:53,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4639079Z [2022-11-23 01:27:53,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4639542Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:30.4640039Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:30.4640342Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:30.4640758Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4641214Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4641701Z [2022-11-23 01:27:53,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:30.4642224Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:30.4642533Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:30.4642978Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4643454Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4643958Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:30.4644532Z [2022-11-23 01:27:53,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:30.4644864Z [2022-11-23 01:27:53,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:30.4645332Z [2022-11-23 01:27:53,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4645841Z [2022-11-23 01:27:53,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4646387Z [2022-11-23 01:27:53,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:30.4646967Z [2022-11-23 01:27:53,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:30.4647279Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:30.4647789Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4648043Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4648423Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:30.4648674Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4648917Z [2022-11-23 01:27:53,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4649179Z [2022-11-23 01:27:53,391] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4649436Z [2022-11-23 01:27:53,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4649631Z [2022-11-23 01:27:53,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4649774Z  __compiled_fn_259 <eval_with_key>.1598 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4649866Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4650008Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:30.4650203Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:30.4650399Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:30.4650537Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:30.4650727Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:30.4650915Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:30.4651046Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:30.4651220Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:30.4651385Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:30.4651563Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:30.4651701Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:30.4651897Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:30.4652072Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:30.4652202Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:30.4652342Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:30.4652532Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:30.4652538Z 
2022-11-23T01:32:30.4652874Z [2022-11-23 01:27:53,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4652976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4653077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4653175Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4653278Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4653363Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4653463Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4653544Z              12 RETURN_VALUE
2022-11-23T01:32:30.4653550Z 
2022-11-23T01:32:30.4653616Z  
2022-11-23T01:32:30.4653945Z [2022-11-23 01:27:53,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4654064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_259)
2022-11-23T01:32:30.4654161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4654259Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4654335Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4654431Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4654546Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4654656Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4654753Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4654839Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4654947Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4655036Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4655120Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4655231Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4655329Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4655410Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4655518Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4655615Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4655689Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4655796Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4655897Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.4655977Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.4656083Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4656180Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:30.4656262Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.4656361Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4656456Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:30.4656537Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.4656644Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4656737Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:30.4656818Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.4656926Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4657020Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:30.4657094Z              64 BINARY_SUBSCR
2022-11-23T01:32:30.4657233Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4657330Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:30.4657411Z              70 BINARY_SUBSCR
2022-11-23T01:32:30.4657539Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4657635Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:30.4657717Z              76 BINARY_SUBSCR
2022-11-23T01:32:30.4657805Z              78 BUILD_TUPLE             11
2022-11-23T01:32:30.4657887Z              80 RETURN_VALUE
2022-11-23T01:32:30.4657893Z 
2022-11-23T01:32:30.4657960Z  
2022-11-23T01:32:30.4658155Z [2022-11-23 01:27:53,399] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4658233Z  - 
2022-11-23T01:32:30.4658360Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4658432Z             {
2022-11-23T01:32:30.4658573Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4658769Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4659027Z                 'obj_weakref': None
2022-11-23T01:32:30.4659259Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4659338Z             }
2022-11-23T01:32:30.4659409Z             
2022-11-23T01:32:30.4659488Z  - 
2022-11-23T01:32:30.4659611Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4659682Z             {
2022-11-23T01:32:30.4659830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4659942Z                 'code': None,
2022-11-23T01:32:30.4660158Z                 'obj_weakref': <weakref at 0x7f201e3e5800; to 'Tensor' at 0x7f201e321da0>
2022-11-23T01:32:30.4660409Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4660480Z             }
2022-11-23T01:32:30.4660543Z             
2022-11-23T01:32:30.4660620Z  - 
2022-11-23T01:32:30.4660756Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4660827Z             {
2022-11-23T01:32:30.4660970Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4661145Z                 'code': ['___check_obj_id(model, 139780078826784)'],
2022-11-23T01:32:30.4661272Z                 'obj_weakref': None
2022-11-23T01:32:30.4661494Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4661565Z             }
2022-11-23T01:32:30.4661635Z             
2022-11-23T01:32:30.4661712Z  - 
2022-11-23T01:32:30.4661842Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4661911Z             {
2022-11-23T01:32:30.4662079Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4662312Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4662436Z                 'obj_weakref': None
2022-11-23T01:32:30.4662664Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4662734Z             }
2022-11-23T01:32:30.4662803Z             
2022-11-23T01:32:30.4663066Z [2022-11-23 01:27:53,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251
2022-11-23T01:32:30.4663075Z 
2022-11-23T01:32:30.4663179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4663247Z import torch
2022-11-23T01:32:30.4663323Z import random
2022-11-23T01:32:30.4663446Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4663575Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4663581Z 
2022-11-23T01:32:30.4663667Z aten = torch.ops.aten
2022-11-23T01:32:30.4663814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4663912Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4663918Z 
2022-11-23T01:32:30.4663995Z import triton
2022-11-23T01:32:30.4664082Z import triton.language as tl
2022-11-23T01:32:30.4664263Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4664413Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4664418Z 
2022-11-23T01:32:30.4664423Z 
2022-11-23T01:32:30.4664593Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4664807Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4664937Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4665044Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4665149Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:30.4665244Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.4665346Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:30.4665447Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.4665549Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:30.4665653Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:32:30.4665761Z                        long* __restrict__ out_ptr7,
2022-11-23T01:32:30.4665866Z                        long* __restrict__ out_ptr8,
2022-11-23T01:32:30.4665963Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:30.4666074Z                        float* __restrict__ out_ptr10)
2022-11-23T01:32:30.4666142Z {
2022-11-23T01:32:30.4666249Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4666316Z     {
2022-11-23T01:32:30.4666398Z         #pragma omp for 
2022-11-23T01:32:30.4666491Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4666554Z         {
2022-11-23T01:32:30.4666623Z             {
2022-11-23T01:32:30.4666696Z                 {
2022-11-23T01:32:30.4666797Z                     auto tmp0 = in_ptr0[3*i0];
2022-11-23T01:32:30.4666902Z                     auto tmp1 = in_ptr0[1 + (3*i0)];
2022-11-23T01:32:30.4667005Z                     auto tmp3 = in_ptr0[2 + (3*i0)];
2022-11-23T01:32:30.4667130Z                     auto tmp2 = std::min(tmp0, tmp1);
2022-11-23T01:32:30.4667232Z                     auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:30.4667339Z                     auto tmp5 = static_cast<long>(0);
2022-11-23T01:32:30.4667447Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:32:30.4667545Z                     auto tmp7 = tmp1 < tmp0;
2022-11-23T01:32:30.4667649Z                     auto tmp8 = tmp7 ? tmp6 : tmp5;
2022-11-23T01:32:30.4667757Z                     auto tmp9 = static_cast<long>(2);
2022-11-23T01:32:30.4667856Z                     auto tmp10 = tmp3 < tmp2;
2022-11-23T01:32:30.4667956Z                     auto tmp11 = tmp10 ? tmp9 : tmp8;
2022-11-23T01:32:30.4668072Z                     auto tmp12 = std::max(tmp0, tmp1);
2022-11-23T01:32:30.4668185Z                     auto tmp13 = std::max(tmp12, tmp3);
2022-11-23T01:32:30.4668283Z                     auto tmp14 = tmp1 > tmp0;
2022-11-23T01:32:30.4668391Z                     auto tmp15 = tmp14 ? tmp6 : tmp5;
2022-11-23T01:32:30.4668497Z                     auto tmp16 = tmp3 > tmp12;
2022-11-23T01:32:30.4668606Z                     auto tmp17 = tmp16 ? tmp9 : tmp15;
2022-11-23T01:32:30.4668706Z                     auto tmp18 = tmp0 + tmp1;
2022-11-23T01:32:30.4668801Z                     auto tmp19 = tmp18 + tmp3;
2022-11-23T01:32:30.4668914Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:30.4669013Z                     auto tmp21 = tmp0 > tmp20;
2022-11-23T01:32:30.4669129Z                     auto tmp22 = static_cast<long>(tmp21);
2022-11-23T01:32:30.4669245Z                     auto tmp23 = static_cast<bool>(tmp22);
2022-11-23T01:32:30.4669346Z                     auto tmp24 = tmp1 > tmp20;
2022-11-23T01:32:30.4669457Z                     auto tmp25 = static_cast<long>(tmp24);
2022-11-23T01:32:30.4669563Z                     auto tmp26 = static_cast<bool>(tmp25);
2022-11-23T01:32:30.4669667Z                     auto tmp27 = tmp23 || tmp26;
2022-11-23T01:32:30.4669765Z                     auto tmp28 = tmp3 > tmp20;
2022-11-23T01:32:30.4669923Z                     auto tmp29 = static_cast<long>(tmp28);
2022-11-23T01:32:30.4670036Z                     auto tmp30 = static_cast<bool>(tmp29);
2022-11-23T01:32:30.4670138Z                     auto tmp31 = tmp27 || tmp30;
2022-11-23T01:32:30.4670375Z                     auto tmp32 = static_cast<float>(0);
2022-11-23T01:32:30.4670487Z                     auto tmp33 = tmp0 > tmp32;
2022-11-23T01:32:30.4670590Z                     auto tmp34 = tmp33 == 0;
2022-11-23T01:32:30.4670719Z                     auto tmp35 = static_cast<long>(tmp34);
2022-11-23T01:32:30.4670833Z                     auto tmp36 = static_cast<bool>(tmp35);
2022-11-23T01:32:30.4670932Z                     auto tmp37 = tmp1 > tmp32;
2022-11-23T01:32:30.4671030Z                     auto tmp38 = tmp37 == 0;
2022-11-23T01:32:30.4671145Z                     auto tmp39 = static_cast<long>(tmp38);
2022-11-23T01:32:30.4671257Z                     auto tmp40 = static_cast<bool>(tmp39);
2022-11-23T01:32:30.4671353Z                     auto tmp41 = tmp36 || tmp40;
2022-11-23T01:32:30.4671451Z                     auto tmp42 = tmp3 > tmp32;
2022-11-23T01:32:30.4671548Z                     auto tmp43 = tmp42 == 0;
2022-11-23T01:32:30.4671666Z                     auto tmp44 = static_cast<long>(tmp43);
2022-11-23T01:32:30.4671777Z                     auto tmp45 = static_cast<bool>(tmp44);
2022-11-23T01:32:30.4671881Z                     auto tmp46 = tmp41 || tmp45;
2022-11-23T01:32:30.4671978Z                     auto tmp47 = tmp46 == 0;
2022-11-23T01:32:30.4672063Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.4672157Z                     out_ptr1[i0] = tmp11;
2022-11-23T01:32:30.4672248Z                     out_ptr2[i0] = tmp13;
2022-11-23T01:32:30.4672338Z                     out_ptr3[i0] = tmp17;
2022-11-23T01:32:30.4672429Z                     out_ptr4[i0] = tmp19;
2022-11-23T01:32:30.4672519Z                     out_ptr5[i0] = tmp31;
2022-11-23T01:32:30.4672610Z                     out_ptr6[i0] = tmp47;
2022-11-23T01:32:30.4672695Z                     out_ptr7[i0] = tmp11;
2022-11-23T01:32:30.4672783Z                     out_ptr8[i0] = tmp17;
2022-11-23T01:32:30.4672874Z                     out_ptr9[i0] = tmp4;
2022-11-23T01:32:30.4672972Z                     out_ptr10[i0] = tmp13;
2022-11-23T01:32:30.4673043Z                 }
2022-11-23T01:32:30.4673112Z             }
2022-11-23T01:32:30.4673181Z         }
2022-11-23T01:32:30.4673242Z     }
2022-11-23T01:32:30.4673308Z }
2022-11-23T01:32:30.4673399Z ''')
2022-11-23T01:32:30.4673405Z 
2022-11-23T01:32:30.4673410Z 
2022-11-23T01:32:30.4673506Z async_compile.wait(globals())
2022-11-23T01:32:30.4673585Z del async_compile
2022-11-23T01:32:30.4673590Z 
2022-11-23T01:32:30.4673668Z def call(args):
2022-11-23T01:32:30.4673746Z     arg0_1, = args
2022-11-23T01:32:30.4673815Z     args.clear()
2022-11-23T01:32:30.4674019Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4674221Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4674419Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4674614Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4674813Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4675005Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.4675192Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.4675373Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4675560Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4675753Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4675951Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4676363Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:32:30.4676460Z     del arg0_1
2022-11-23T01:32:30.4676601Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:30.4676607Z 
2022-11-23T01:32:30.4676612Z 
2022-11-23T01:32:30.4676695Z if __name__ == "__main__":
2022-11-23T01:32:30.4676819Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4676941Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4677148Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4677262Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4677267Z 
2022-11-23T01:32:30.4677636Z [2022-11-23 01:27:54,993] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/ciejlrwletar4mxw73zery5y6mzb6ytb4f35n6s5vw4keb43mi2s.py
2022-11-23T01:32:30.4677908Z [2022-11-23 01:27:54,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251
2022-11-23T01:32:30.4677917Z 
2022-11-23T01:32:30.4678017Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4678093Z import torch
2022-11-23T01:32:30.4678171Z import random
2022-11-23T01:32:30.4678285Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4678412Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4678418Z 
2022-11-23T01:32:30.4678503Z aten = torch.ops.aten
2022-11-23T01:32:30.4678643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4678744Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4678749Z 
2022-11-23T01:32:30.4678827Z import triton
2022-11-23T01:32:30.4678922Z import triton.language as tl
2022-11-23T01:32:30.4679050Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4679189Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4679195Z 
2022-11-23T01:32:30.4679209Z 
2022-11-23T01:32:30.4679342Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4679558Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4679682Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.4679796Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4679904Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4680010Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:30.4680113Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.4680207Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:30.4680309Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.4680409Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:30.4680512Z                        long* __restrict__ out_ptr7,
2022-11-23T01:32:30.4680611Z                        long* __restrict__ out_ptr8,
2022-11-23T01:32:30.4680716Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:30.4680826Z                        float* __restrict__ out_ptr10)
2022-11-23T01:32:30.4680886Z {
2022-11-23T01:32:30.4680981Z     auto out_ptr6 = in_out_ptr0;
2022-11-23T01:32:30.4681084Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4681150Z     {
2022-11-23T01:32:30.4681235Z         #pragma omp for 
2022-11-23T01:32:30.4681326Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4681396Z         {
2022-11-23T01:32:30.4681458Z             {
2022-11-23T01:32:30.4681529Z                 {
2022-11-23T01:32:30.4681668Z                     float tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.4681800Z                     struct IndexValue_11 {size_t index; float value;};
2022-11-23T01:32:30.4681977Z                     IndexValue_11 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.4682127Z                     #pragma omp declare reduction(argmin : struct IndexValue_11 :\
2022-11-23T01:32:30.4682304Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.4682508Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.4682660Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.4682904Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.4683035Z                     struct IndexValue_12 {size_t index; float value;};
2022-11-23T01:32:30.4683270Z                     IndexValue_12 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.4683419Z                     #pragma omp declare reduction(argmax : struct IndexValue_12 :\
2022-11-23T01:32:30.4683580Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.4683743Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.4683988Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.4684077Z                     float tmp5 = 0;
2022-11-23T01:32:30.4684156Z                     bool tmp10 = 0;
2022-11-23T01:32:30.4684246Z                     bool tmp16 = 0;
2022-11-23T01:32:30.4684375Z                     struct IndexValue_13 {size_t index; float value;};
2022-11-23T01:32:30.4684524Z                     IndexValue_13 tmp17{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.4684672Z                     #pragma omp declare reduction(argmin : struct IndexValue_13 :\
2022-11-23T01:32:30.4684825Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.4684979Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.4685131Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.4685256Z                     struct IndexValue_14 {size_t index; float value;};
2022-11-23T01:32:30.4685495Z                     IndexValue_14 tmp18{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:30.4685644Z                     #pragma omp declare reduction(argmax : struct IndexValue_14 :\
2022-11-23T01:32:30.4685803Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:30.4685957Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:30.4686198Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:30.4686333Z                     float tmp19 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.4686550Z                     float tmp20 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:30.4686651Z                     for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.4686717Z                     {
2022-11-23T01:32:30.4686796Z                         {
2022-11-23T01:32:30.4686907Z                             auto tmp0 = in_ptr0[i1 + (3*i0)];
2022-11-23T01:32:30.4687025Z                             auto tmp6 = static_cast<float>(1);
2022-11-23T01:32:30.4687131Z                             auto tmp7 = tmp0 > tmp6;
2022-11-23T01:32:30.4687248Z                             auto tmp8 = static_cast<long>(tmp7);
2022-11-23T01:32:30.4687365Z                             auto tmp9 = static_cast<bool>(tmp8);
2022-11-23T01:32:30.4687475Z                             auto tmp11 = static_cast<float>(0);
2022-11-23T01:32:30.4687582Z                             auto tmp12 = tmp0 > tmp11;
2022-11-23T01:32:30.4687686Z                             auto tmp13 = tmp12 == 0;
2022-11-23T01:32:30.4687838Z                             auto tmp14 = static_cast<long>(tmp13);
2022-11-23T01:32:30.4687956Z                             auto tmp15 = static_cast<bool>(tmp14);
2022-11-23T01:32:30.4688069Z                             tmp1 = std::min(tmp1, tmp0);
2022-11-23T01:32:30.4688193Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:30.4688317Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:30.4688388Z                             }
2022-11-23T01:32:30.4688498Z                             tmp3 = std::max(tmp3, tmp0);
2022-11-23T01:32:30.4688603Z                             if (tmp4.value < tmp0) {
2022-11-23T01:32:30.4688722Z                                 tmp4.index = i1; tmp4.value = tmp0;
2022-11-23T01:32:30.4688799Z                             }
2022-11-23T01:32:30.4688890Z                             tmp5 += tmp0;
2022-11-23T01:32:30.4688990Z                             tmp10 = tmp10 || tmp9;
2022-11-23T01:32:30.4689082Z                             tmp16 = tmp16 || tmp15;
2022-11-23T01:32:30.4689188Z                             if (tmp17.value > tmp0) {
2022-11-23T01:32:30.4689310Z                                 tmp17.index = i1; tmp17.value = tmp0;
2022-11-23T01:32:30.4689391Z                             }
2022-11-23T01:32:30.4689493Z                             if (tmp18.value < tmp0) {
2022-11-23T01:32:30.4689613Z                                 tmp18.index = i1; tmp18.value = tmp0;
2022-11-23T01:32:30.4689691Z                             }
2022-11-23T01:32:30.4689797Z                             tmp19 = std::min(tmp19, tmp0);
2022-11-23T01:32:30.4689909Z                             tmp20 = std::max(tmp20, tmp0);
2022-11-23T01:32:30.4689985Z                         }
2022-11-23T01:32:30.4690060Z                     }
2022-11-23T01:32:30.4690152Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.4690254Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:32:30.4690345Z                     out_ptr2[i0] = tmp3;
2022-11-23T01:32:30.4690439Z                     out_ptr3[i0] = tmp4.index;
2022-11-23T01:32:30.4690530Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:30.4690621Z                     out_ptr5[i0] = tmp10;
2022-11-23T01:32:30.4690711Z                     out_ptr6[i0] = tmp16;
2022-11-23T01:32:30.4690815Z                     out_ptr7[i0] = tmp17.index;
2022-11-23T01:32:30.4690917Z                     out_ptr8[i0] = tmp18.index;
2022-11-23T01:32:30.4691007Z                     out_ptr9[i0] = tmp19;
2022-11-23T01:32:30.4691101Z                     out_ptr10[i0] = tmp20;
2022-11-23T01:32:30.4691165Z                 }
2022-11-23T01:32:30.4691233Z             }
2022-11-23T01:32:30.4691301Z         }
2022-11-23T01:32:30.4691389Z         #pragma omp for 
2022-11-23T01:32:30.4691478Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.4691547Z         {
2022-11-23T01:32:30.4691609Z             {
2022-11-23T01:32:30.4691679Z                 {
2022-11-23T01:32:30.4691781Z                     auto tmp0 = out_ptr6[i0];
2022-11-23T01:32:30.4691877Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:30.4691976Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.4692049Z                 }
2022-11-23T01:32:30.4692124Z             }
2022-11-23T01:32:30.4692205Z         }
2022-11-23T01:32:30.4692274Z     }
2022-11-23T01:32:30.4692355Z }
2022-11-23T01:32:30.4692452Z ''')
2022-11-23T01:32:30.4692458Z 
2022-11-23T01:32:30.4692463Z 
2022-11-23T01:32:30.4692560Z async_compile.wait(globals())
2022-11-23T01:32:30.4692639Z del async_compile
2022-11-23T01:32:30.4692644Z 
2022-11-23T01:32:30.4692719Z def call(args):
2022-11-23T01:32:30.4692787Z     arg0_1, = args
2022-11-23T01:32:30.4692865Z     args.clear()
2022-11-23T01:32:30.4693067Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4693261Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4693463Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4693686Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4693879Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4694067Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.4694266Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.4694457Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4694644Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4694831Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4695026Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4695121Z     buf11 = buf6; del buf6  # reuse
2022-11-23T01:32:30.4695494Z     kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:32:30.4695574Z     del arg0_1
2022-11-23T01:32:30.4695707Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:30.4695720Z 
2022-11-23T01:32:30.4695724Z 
2022-11-23T01:32:30.4695800Z if __name__ == "__main__":
2022-11-23T01:32:30.4695922Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4696055Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4696258Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4696372Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4696378Z 
2022-11-23T01:32:30.4696452Z ok (3.285s)
2022-11-23T01:32:30.4696980Z   test_unspec_inputs_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.4697063Z   warnings.warn(
2022-11-23T01:32:30.4697300Z [2022-11-23 01:27:55,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4697619Z [2022-11-23 01:27:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4697837Z [2022-11-23 01:27:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4698084Z [2022-11-23 01:27:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4698365Z [2022-11-23 01:27:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4698612Z [2022-11-23 01:27:55,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4699082Z [2022-11-23 01:27:55,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4699410Z [2022-11-23 01:27:55,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4699681Z [2022-11-23 01:27:55,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4699980Z [2022-11-23 01:27:55,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4700319Z [2022-11-23 01:27:55,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4700671Z [2022-11-23 01:27:55,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4700927Z [2022-11-23 01:27:55,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4701169Z [2022-11-23 01:27:55,020] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4701446Z [2022-11-23 01:27:55,021] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4701689Z [2022-11-23 01:27:55,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4701885Z [2022-11-23 01:27:55,025] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4702028Z  __compiled_fn_260 <eval_with_key>.1604 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4702118Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4702198Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4702370Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4702545Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4702733Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4702853Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4702862Z 
2022-11-23T01:32:30.4703198Z [2022-11-23 01:27:55,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4703298Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4703396Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4703469Z                4 BINARY_ADD
2022-11-23T01:32:30.4703564Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4703659Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4703749Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4703845Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4703939Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4704034Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4704125Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4704208Z               20 RETURN_VALUE
2022-11-23T01:32:30.4704214Z 
2022-11-23T01:32:30.4704283Z  
2022-11-23T01:32:30.4704611Z [2022-11-23 01:27:55,026] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4704729Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_260)
2022-11-23T01:32:30.4704825Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4704920Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4705009Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4705123Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4705234Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4705329Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4705417Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4705524Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4705618Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4705703Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4705803Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4705897Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4705983Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4706079Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4706164Z               30 RETURN_VALUE
2022-11-23T01:32:30.4706170Z 
2022-11-23T01:32:30.4706235Z  
2022-11-23T01:32:30.4706427Z [2022-11-23 01:27:55,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4706498Z  - 
2022-11-23T01:32:30.4706625Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4706696Z             {
2022-11-23T01:32:30.4706846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4706993Z                 'code': None,
2022-11-23T01:32:30.4707212Z                 'obj_weakref': <weakref at 0x7f20601ed8a0; to 'Tensor' at 0x7f2023378b30>
2022-11-23T01:32:30.4707472Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4707556Z             }
2022-11-23T01:32:30.4707628Z             
2022-11-23T01:32:30.4707706Z  - 
2022-11-23T01:32:30.4707831Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4707902Z             {
2022-11-23T01:32:30.4708051Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4708165Z                 'code': None,
2022-11-23T01:32:30.4708370Z                 'obj_weakref': <weakref at 0x7f201e3e7970; to 'Tensor' at 0x7f201e3e49f0>
2022-11-23T01:32:30.4708618Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4708689Z             }
2022-11-23T01:32:30.4708760Z             
2022-11-23T01:32:30.4709027Z [2022-11-23 01:27:55,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252
2022-11-23T01:32:30.4709368Z [2022-11-23 01:27:55,046] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4709739Z [2022-11-23 01:27:55,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xwh5knaabryybtwzwqm232rmza5swvahnfc3wvivplps5gf3ow.py
2022-11-23T01:32:30.4709993Z [2022-11-23 01:27:55,450] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4710366Z [2022-11-23 01:27:55,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252
2022-11-23T01:32:30.4710638Z [2022-11-23 01:27:55,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4710960Z [2022-11-23 01:27:55,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4711179Z [2022-11-23 01:27:55,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4711422Z [2022-11-23 01:27:55,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4711703Z [2022-11-23 01:27:55,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4711978Z [2022-11-23 01:27:55,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4712265Z [2022-11-23 01:27:55,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4712577Z [2022-11-23 01:27:55,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4712843Z [2022-11-23 01:27:55,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4713132Z [2022-11-23 01:27:55,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4713478Z [2022-11-23 01:27:55,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4713778Z [2022-11-23 01:27:55,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4714027Z [2022-11-23 01:27:55,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4714269Z [2022-11-23 01:27:55,456] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4714515Z [2022-11-23 01:27:55,457] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4714802Z [2022-11-23 01:27:55,461] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4714999Z [2022-11-23 01:27:55,461] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4715166Z  __compiled_fn_261 <eval_with_key>.1610 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4715250Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4715336Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4715515Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4715685Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4715871Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4715988Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4715993Z 
2022-11-23T01:32:30.4716326Z [2022-11-23 01:27:55,461] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4716428Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4716519Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4716599Z                4 BINARY_ADD
2022-11-23T01:32:30.4716695Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4716794Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4716884Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4716977Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4717071Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4717153Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4717251Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4717333Z               20 RETURN_VALUE
2022-11-23T01:32:30.4717338Z 
2022-11-23T01:32:30.4717405Z  
2022-11-23T01:32:30.4717732Z [2022-11-23 01:27:55,462] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4717853Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_261)
2022-11-23T01:32:30.4717950Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4718044Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4718136Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4718249Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4718361Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4718461Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4718545Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4718656Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4718751Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4718828Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4718937Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4719032Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4719117Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4719214Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4719295Z               30 RETURN_VALUE
2022-11-23T01:32:30.4719300Z 
2022-11-23T01:32:30.4719369Z  
2022-11-23T01:32:30.4719552Z [2022-11-23 01:27:55,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4719630Z  - 
2022-11-23T01:32:30.4719761Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4719831Z             {
2022-11-23T01:32:30.4719977Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4720088Z                 'code': None,
2022-11-23T01:32:30.4720304Z                 'obj_weakref': <weakref at 0x7f201e3e7970; to 'Tensor' at 0x7f201e3e49f0>
2022-11-23T01:32:30.4720546Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4720617Z             }
2022-11-23T01:32:30.4720688Z             
2022-11-23T01:32:30.4720765Z  - 
2022-11-23T01:32:30.4720888Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4720989Z             {
2022-11-23T01:32:30.4721136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4721241Z                 'code': None,
2022-11-23T01:32:30.4721480Z                 'obj_weakref': <weakref at 0x7f20601ed8a0; to 'Tensor' at 0x7f2023378b30>
2022-11-23T01:32:30.4721767Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4721852Z             }
2022-11-23T01:32:30.4721921Z             
2022-11-23T01:32:30.4722181Z [2022-11-23 01:27:55,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253
2022-11-23T01:32:30.4722510Z [2022-11-23 01:27:55,478] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4722882Z [2022-11-23 01:27:55,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7ysskya2rwoflelkmsywytoucerhn5jjcidhskbejthv64iuce.py
2022-11-23T01:32:30.4723135Z [2022-11-23 01:27:55,897] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4723392Z [2022-11-23 01:27:55,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253
2022-11-23T01:32:30.4723634Z [2022-11-23 01:27:55,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4723946Z [2022-11-23 01:27:55,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4724162Z [2022-11-23 01:27:55,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4724400Z [2022-11-23 01:27:55,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4724675Z [2022-11-23 01:27:55,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4724920Z [2022-11-23 01:27:55,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4725191Z [2022-11-23 01:27:55,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4725506Z [2022-11-23 01:27:55,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4725763Z [2022-11-23 01:27:55,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4726058Z [2022-11-23 01:27:55,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4726396Z [2022-11-23 01:27:55,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4726698Z [2022-11-23 01:27:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4726947Z [2022-11-23 01:27:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4727187Z [2022-11-23 01:27:55,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4727435Z [2022-11-23 01:27:55,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4727677Z [2022-11-23 01:27:55,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4727872Z [2022-11-23 01:27:55,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4728014Z  __compiled_fn_262 <eval_with_key>.1616 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4728096Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4728185Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4728387Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4728559Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4728744Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4728885Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4728890Z 
2022-11-23T01:32:30.4729223Z [2022-11-23 01:27:55,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4729314Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4729413Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4729495Z                4 BINARY_ADD
2022-11-23T01:32:30.4729591Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4729683Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4729770Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4729865Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4729953Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4730043Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4730139Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4730224Z               20 RETURN_VALUE
2022-11-23T01:32:30.4730229Z 
2022-11-23T01:32:30.4730296Z  
2022-11-23T01:32:30.4730624Z [2022-11-23 01:27:55,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4730743Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_262)
2022-11-23T01:32:30.4730838Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4730926Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4731023Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4731139Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4731250Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4731348Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4731433Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4731541Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4731630Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4731717Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4731847Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4731953Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4732048Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4732142Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4732224Z               30 RETURN_VALUE
2022-11-23T01:32:30.4732229Z 
2022-11-23T01:32:30.4732296Z  
2022-11-23T01:32:30.4732479Z [2022-11-23 01:27:55,909] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4732558Z  - 
2022-11-23T01:32:30.4732683Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4732753Z             {
2022-11-23T01:32:30.4732906Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4733020Z                 'code': None,
2022-11-23T01:32:30.4733237Z                 'obj_weakref': <weakref at 0x7f201e3e5f80; to 'Tensor' at 0x7f211599e4d0>
2022-11-23T01:32:30.4733485Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4733556Z             }
2022-11-23T01:32:30.4733625Z             
2022-11-23T01:32:30.4733703Z  - 
2022-11-23T01:32:30.4733827Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4733896Z             {
2022-11-23T01:32:30.4734043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4734149Z                 'code': None,
2022-11-23T01:32:30.4734365Z                 'obj_weakref': <weakref at 0x7f2115adbec0; to 'Tensor' at 0x7f211599ec00>
2022-11-23T01:32:30.4734609Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4734711Z             }
2022-11-23T01:32:30.4734786Z             
2022-11-23T01:32:30.4735056Z [2022-11-23 01:27:55,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254
2022-11-23T01:32:30.4735415Z [2022-11-23 01:27:55,926] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4735783Z [2022-11-23 01:27:56,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijtloknqrzb4lcszi3xoqnxypmgmcc3cvclvv4mxz6cf7tgn2lv.py
2022-11-23T01:32:30.4736028Z [2022-11-23 01:27:56,171] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4736293Z [2022-11-23 01:27:56,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254
2022-11-23T01:32:30.4736532Z [2022-11-23 01:27:56,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4736853Z [2022-11-23 01:27:56,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4737069Z [2022-11-23 01:27:56,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4737318Z [2022-11-23 01:27:56,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4737596Z [2022-11-23 01:27:56,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4737835Z [2022-11-23 01:27:56,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4738103Z [2022-11-23 01:27:56,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4738409Z [2022-11-23 01:27:56,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4738676Z [2022-11-23 01:27:56,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4739092Z [2022-11-23 01:27:56,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4739438Z [2022-11-23 01:27:56,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4739735Z [2022-11-23 01:27:56,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4739983Z [2022-11-23 01:27:56,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4740219Z [2022-11-23 01:27:56,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4740468Z [2022-11-23 01:27:56,178] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4740707Z [2022-11-23 01:27:56,182] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4740903Z [2022-11-23 01:27:56,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4741040Z  __compiled_fn_263 <eval_with_key>.1622 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4741131Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4741217Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4741389Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4741558Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4741743Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4741860Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4741866Z 
2022-11-23T01:32:30.4742238Z [2022-11-23 01:27:56,183] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4742335Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4742436Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4742545Z                4 BINARY_ADD
2022-11-23T01:32:30.4742642Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4742737Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4742828Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4742923Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4743012Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4743105Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4743202Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4743286Z               20 RETURN_VALUE
2022-11-23T01:32:30.4743291Z 
2022-11-23T01:32:30.4743359Z  
2022-11-23T01:32:30.4743737Z [2022-11-23 01:27:56,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4743859Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_263)
2022-11-23T01:32:30.4743957Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4744050Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4744149Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4744268Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4744382Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4744480Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4744566Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4744678Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4744767Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4744850Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4744960Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4745059Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4745143Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4745241Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4745323Z               30 RETURN_VALUE
2022-11-23T01:32:30.4745331Z 
2022-11-23T01:32:30.4745390Z  
2022-11-23T01:32:30.4745604Z [2022-11-23 01:27:56,184] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4745683Z  - 
2022-11-23T01:32:30.4745818Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4745887Z             {
2022-11-23T01:32:30.4746036Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4746154Z                 'code': None,
2022-11-23T01:32:30.4746364Z                 'obj_weakref': <weakref at 0x7f2115adbec0; to 'Tensor' at 0x7f211599ec00>
2022-11-23T01:32:30.4746616Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4746687Z             }
2022-11-23T01:32:30.4746757Z             
2022-11-23T01:32:30.4746838Z  - 
2022-11-23T01:32:30.4746963Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4747034Z             {
2022-11-23T01:32:30.4747176Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4747294Z                 'code': None,
2022-11-23T01:32:30.4747509Z                 'obj_weakref': <weakref at 0x7f201e3e5f80; to 'Tensor' at 0x7f211599e4d0>
2022-11-23T01:32:30.4747763Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4747832Z             }
2022-11-23T01:32:30.4747901Z             
2022-11-23T01:32:30.4748161Z [2022-11-23 01:27:56,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255
2022-11-23T01:32:30.4748496Z [2022-11-23 01:27:56,201] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4748502Z 
2022-11-23T01:32:30.4748629Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4748706Z import torch
2022-11-23T01:32:30.4748783Z import random
2022-11-23T01:32:30.4748905Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4749057Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4749063Z 
2022-11-23T01:32:30.4749148Z aten = torch.ops.aten
2022-11-23T01:32:30.4749290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4749381Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4749396Z 
2022-11-23T01:32:30.4749464Z import triton
2022-11-23T01:32:30.4749558Z import triton.language as tl
2022-11-23T01:32:30.4749686Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4749829Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4749835Z 
2022-11-23T01:32:30.4749839Z 
2022-11-23T01:32:30.4750007Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:30.4750083Z import triton
2022-11-23T01:32:30.4750179Z import triton.language as tl
2022-11-23T01:32:30.4750353Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4750465Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4750603Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4750736Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4750741Z 
2022-11-23T01:32:30.4751163Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4751241Z @triton.jit
2022-11-23T01:32:30.4751405Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4751480Z     xnumel = 6
2022-11-23T01:32:30.4751573Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4751706Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4751794Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4751866Z     x0 = xindex
2022-11-23T01:32:30.4751964Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4752041Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4752135Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.4752208Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.4752287Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:30.4752364Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:30.4752503Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4752639Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4752769Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4752857Z ''')
2022-11-23T01:32:30.4752862Z 
2022-11-23T01:32:30.4752867Z 
2022-11-23T01:32:30.4752961Z async_compile.wait(globals())
2022-11-23T01:32:30.4753031Z del async_compile
2022-11-23T01:32:30.4753036Z 
2022-11-23T01:32:30.4753113Z def call(args):
2022-11-23T01:32:30.4753197Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4753278Z     args.clear()
2022-11-23T01:32:30.4753476Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4753676Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4753865Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4753950Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4754119Z     triton_fused_div_mul_add0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4754194Z     del arg0_1
2022-11-23T01:32:30.4754267Z     del arg1_1
2022-11-23T01:32:30.4754358Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4754364Z 
2022-11-23T01:32:30.4754368Z 
2022-11-23T01:32:30.4754449Z if __name__ == "__main__":
2022-11-23T01:32:30.4754572Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4754736Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4754929Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4755118Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float16)
2022-11-23T01:32:30.4755262Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4755268Z 
2022-11-23T01:32:30.4755272Z 
2022-11-23T01:32:30.4755371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4755447Z import torch
2022-11-23T01:32:30.4755523Z import random
2022-11-23T01:32:30.4755644Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4755770Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4755775Z 
2022-11-23T01:32:30.4755851Z aten = torch.ops.aten
2022-11-23T01:32:30.4755990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4756086Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4756091Z 
2022-11-23T01:32:30.4756165Z import triton
2022-11-23T01:32:30.4756261Z import triton.language as tl
2022-11-23T01:32:30.4756390Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4756533Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4756541Z 
2022-11-23T01:32:30.4756546Z 
2022-11-23T01:32:30.4756715Z triton_fused_mul_div_add0 = async_compile.triton('''
2022-11-23T01:32:30.4756783Z import triton
2022-11-23T01:32:30.4756877Z import triton.language as tl
2022-11-23T01:32:30.4756996Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4757100Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4757236Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4757363Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4757368Z 
2022-11-23T01:32:30.4757785Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4757860Z @triton.jit
2022-11-23T01:32:30.4758016Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4758098Z     xnumel = 6
2022-11-23T01:32:30.4758198Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4758329Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4758415Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4758488Z     x0 = xindex
2022-11-23T01:32:30.4758564Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4758655Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4758745Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.4758824Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.4758903Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:30.4758981Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:30.4759118Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4759255Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4759377Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4759466Z ''')
2022-11-23T01:32:30.4759471Z 
2022-11-23T01:32:30.4759478Z 
2022-11-23T01:32:30.4759573Z async_compile.wait(globals())
2022-11-23T01:32:30.4759651Z del async_compile
2022-11-23T01:32:30.4759656Z 
2022-11-23T01:32:30.4759731Z def call(args):
2022-11-23T01:32:30.4759814Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4759892Z     args.clear()
2022-11-23T01:32:30.4760082Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4760277Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4760469Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4760563Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4760739Z     triton_fused_mul_div_add0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4760859Z     del arg0_1
2022-11-23T01:32:30.4760937Z     del arg1_1
2022-11-23T01:32:30.4761025Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4761030Z 
2022-11-23T01:32:30.4761035Z 
2022-11-23T01:32:30.4761134Z if __name__ == "__main__":
2022-11-23T01:32:30.4761257Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4761384Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4761577Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float16)
2022-11-23T01:32:30.4761774Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4761896Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4761901Z 
2022-11-23T01:32:30.4761906Z 
2022-11-23T01:32:30.4762027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4762106Z import torch
2022-11-23T01:32:30.4762190Z import random
2022-11-23T01:32:30.4762318Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4762446Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4762451Z 
2022-11-23T01:32:30.4762535Z aten = torch.ops.aten
2022-11-23T01:32:30.4762675Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4762778Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4762783Z 
2022-11-23T01:32:30.4762858Z import triton
2022-11-23T01:32:30.4762954Z import triton.language as tl
2022-11-23T01:32:30.4763075Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4763217Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4763222Z 
2022-11-23T01:32:30.4763227Z 
2022-11-23T01:32:30.4763394Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:30.4763473Z import triton
2022-11-23T01:32:30.4763567Z import triton.language as tl
2022-11-23T01:32:30.4763681Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4763785Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4763915Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4764046Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4764051Z 
2022-11-23T01:32:30.4764462Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4764540Z @triton.jit
2022-11-23T01:32:30.4764703Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4764778Z     xnumel = 6
2022-11-23T01:32:30.4764879Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4765011Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4765088Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4765162Z     x0 = xindex
2022-11-23T01:32:30.4765259Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4765336Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4765429Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.4765509Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.4765587Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:30.4765657Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:30.4765799Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4765937Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4766066Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4766154Z ''')
2022-11-23T01:32:30.4766160Z 
2022-11-23T01:32:30.4766164Z 
2022-11-23T01:32:30.4766259Z async_compile.wait(globals())
2022-11-23T01:32:30.4766337Z del async_compile
2022-11-23T01:32:30.4766342Z 
2022-11-23T01:32:30.4766418Z def call(args):
2022-11-23T01:32:30.4766492Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4766567Z     args.clear()
2022-11-23T01:32:30.4766765Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4766988Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4767181Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4767295Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4767467Z     triton_fused_div_add_mul0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4767535Z     del arg0_1
2022-11-23T01:32:30.4767609Z     del arg1_1
2022-11-23T01:32:30.4767698Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4767704Z 
2022-11-23T01:32:30.4767708Z 
2022-11-23T01:32:30.4767792Z if __name__ == "__main__":
2022-11-23T01:32:30.4767914Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4768042Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4768242Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4768430Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:30.4768546Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4768560Z 
2022-11-23T01:32:30.4768911Z [2022-11-23 01:27:56,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ae/cae2zl5tdyualvfk7z3nq3q7dnfibbsth6a7ozanbzbdub7zk5ot.py
2022-11-23T01:32:30.4769166Z [2022-11-23 01:27:56,449] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4769431Z [2022-11-23 01:27:56,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255
2022-11-23T01:32:30.4769674Z [2022-11-23 01:27:56,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4769985Z [2022-11-23 01:27:56,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4770200Z [2022-11-23 01:27:56,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4770443Z [2022-11-23 01:27:56,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4770715Z [2022-11-23 01:27:56,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4770956Z [2022-11-23 01:27:56,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4771213Z [2022-11-23 01:27:56,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4771519Z [2022-11-23 01:27:56,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4771813Z [2022-11-23 01:27:56,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4772127Z [2022-11-23 01:27:56,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4772466Z [2022-11-23 01:27:56,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4772766Z [2022-11-23 01:27:56,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4773015Z [2022-11-23 01:27:56,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4773252Z [2022-11-23 01:27:56,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4773497Z [2022-11-23 01:27:56,456] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4773739Z [2022-11-23 01:27:56,461] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4773981Z [2022-11-23 01:27:56,461] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4774125Z  __compiled_fn_264 <eval_with_key>.1628 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4774214Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4774303Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4774495Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4774663Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4774846Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4774956Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4774970Z 
2022-11-23T01:32:30.4775293Z [2022-11-23 01:27:56,461] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4775393Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4775490Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4775570Z                4 BINARY_ADD
2022-11-23T01:32:30.4775669Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4775765Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4775853Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4775945Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4776038Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4776127Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4776222Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4776305Z               20 RETURN_VALUE
2022-11-23T01:32:30.4776310Z 
2022-11-23T01:32:30.4776377Z  
2022-11-23T01:32:30.4776700Z [2022-11-23 01:27:56,461] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4776817Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_264)
2022-11-23T01:32:30.4776905Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4777003Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4777101Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4777215Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4777328Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4777427Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4777509Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4777610Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4777705Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4777787Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4777893Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4777988Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4778071Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4778167Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4778241Z               30 RETURN_VALUE
2022-11-23T01:32:30.4778246Z 
2022-11-23T01:32:30.4778316Z  
2022-11-23T01:32:30.4778507Z [2022-11-23 01:27:56,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4778588Z  - 
2022-11-23T01:32:30.4778715Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4778976Z             {
2022-11-23T01:32:30.4779130Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4779237Z                 'code': None,
2022-11-23T01:32:30.4779455Z                 'obj_weakref': <weakref at 0x7f207277fe70; to 'Tensor' at 0x7f2060126ca0>
2022-11-23T01:32:30.4779705Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4779777Z             }
2022-11-23T01:32:30.4779846Z             
2022-11-23T01:32:30.4779923Z  - 
2022-11-23T01:32:30.4780047Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4780109Z             {
2022-11-23T01:32:30.4780256Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4780368Z                 'code': None,
2022-11-23T01:32:30.4780629Z                 'obj_weakref': <weakref at 0x7f201e3e7150; to 'Tensor' at 0x7f206070fdd0>
2022-11-23T01:32:30.4780878Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4780976Z             }
2022-11-23T01:32:30.4781047Z             
2022-11-23T01:32:30.4781305Z [2022-11-23 01:27:56,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256
2022-11-23T01:32:30.4781643Z [2022-11-23 01:27:56,477] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4782009Z [2022-11-23 01:27:56,783] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ki/ckisshztffepzecf5div7az2a6vnj2bsxlrdnzewulxc6qkhp6n4.py
2022-11-23T01:32:30.4782261Z [2022-11-23 01:27:56,784] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4782531Z [2022-11-23 01:27:56,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256
2022-11-23T01:32:30.4782774Z [2022-11-23 01:27:56,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4783092Z [2022-11-23 01:27:56,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4783305Z [2022-11-23 01:27:56,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4783547Z [2022-11-23 01:27:56,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4783823Z [2022-11-23 01:27:56,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4784054Z [2022-11-23 01:27:56,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4784326Z [2022-11-23 01:27:56,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4784642Z [2022-11-23 01:27:56,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4784908Z [2022-11-23 01:27:56,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4785202Z [2022-11-23 01:27:56,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4785540Z [2022-11-23 01:27:56,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4785835Z [2022-11-23 01:27:56,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4786086Z [2022-11-23 01:27:56,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4786325Z [2022-11-23 01:27:56,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4786574Z [2022-11-23 01:27:56,791] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4786804Z [2022-11-23 01:27:56,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4787000Z [2022-11-23 01:27:56,796] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4787141Z  __compiled_fn_265 <eval_with_key>.1634 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4787230Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4787317Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4787488Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4787657Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4787874Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4787987Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4787992Z 
2022-11-23T01:32:30.4788323Z [2022-11-23 01:27:56,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4788444Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4788543Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4788623Z                4 BINARY_ADD
2022-11-23T01:32:30.4788715Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4788808Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4788889Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4788982Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4789076Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4789167Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4789269Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4789352Z               20 RETURN_VALUE
2022-11-23T01:32:30.4789357Z 
2022-11-23T01:32:30.4789425Z  
2022-11-23T01:32:30.4789749Z [2022-11-23 01:27:56,796] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4789862Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_265)
2022-11-23T01:32:30.4789958Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4790052Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4790149Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4790338Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4790466Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4790575Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4790652Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4790765Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4790859Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4790942Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4791049Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4791146Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4791231Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4791319Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4791401Z               30 RETURN_VALUE
2022-11-23T01:32:30.4791406Z 
2022-11-23T01:32:30.4791472Z  
2022-11-23T01:32:30.4791667Z [2022-11-23 01:27:56,796] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4791744Z  - 
2022-11-23T01:32:30.4791870Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4791941Z             {
2022-11-23T01:32:30.4792080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4792193Z                 'code': None,
2022-11-23T01:32:30.4792407Z                 'obj_weakref': <weakref at 0x7f201e3e7150; to 'Tensor' at 0x7f206070fdd0>
2022-11-23T01:32:30.4792656Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4792735Z             }
2022-11-23T01:32:30.4792804Z             
2022-11-23T01:32:30.4792881Z  - 
2022-11-23T01:32:30.4792996Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4793065Z             {
2022-11-23T01:32:30.4793213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4793329Z                 'code': None,
2022-11-23T01:32:30.4793537Z                 'obj_weakref': <weakref at 0x7f207277fe70; to 'Tensor' at 0x7f2060126ca0>
2022-11-23T01:32:30.4793787Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4793857Z             }
2022-11-23T01:32:30.4793926Z             
2022-11-23T01:32:30.4794212Z [2022-11-23 01:27:56,803] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257
2022-11-23T01:32:30.4794542Z [2022-11-23 01:27:56,813] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4794932Z [2022-11-23 01:27:57,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hb/chbitxhte3ebnann3guxh5u7bfjslvxmf72qtjh7lczvnua2x6re.py
2022-11-23T01:32:30.4795183Z [2022-11-23 01:27:57,121] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4795449Z [2022-11-23 01:27:57,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257
2022-11-23T01:32:30.4795692Z [2022-11-23 01:27:57,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4796011Z [2022-11-23 01:27:57,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4796227Z [2022-11-23 01:27:57,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4796472Z [2022-11-23 01:27:57,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4796744Z [2022-11-23 01:27:57,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4796987Z [2022-11-23 01:27:57,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4797255Z [2022-11-23 01:27:57,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4797566Z [2022-11-23 01:27:57,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4797830Z [2022-11-23 01:27:57,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4798126Z [2022-11-23 01:27:57,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4798467Z [2022-11-23 01:27:57,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4798766Z [2022-11-23 01:27:57,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4799017Z [2022-11-23 01:27:57,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4799258Z [2022-11-23 01:27:57,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4799497Z [2022-11-23 01:27:57,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4799737Z [2022-11-23 01:27:57,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4799935Z [2022-11-23 01:27:57,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4800078Z  __compiled_fn_266 <eval_with_key>.1640 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4800169Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4800255Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4800426Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4800594Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4800771Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4800888Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4800894Z 
2022-11-23T01:32:30.4801214Z [2022-11-23 01:27:57,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4801313Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4801412Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4801524Z                4 BINARY_ADD
2022-11-23T01:32:30.4801622Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4801723Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4801841Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4801957Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4802056Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4802145Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4802241Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4802323Z               20 RETURN_VALUE
2022-11-23T01:32:30.4802329Z 
2022-11-23T01:32:30.4802395Z  
2022-11-23T01:32:30.4802711Z [2022-11-23 01:27:57,133] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4802828Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_266)
2022-11-23T01:32:30.4802927Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4803023Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4803120Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4803234Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4803346Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4803442Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4803519Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4803627Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4803722Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4803804Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4803911Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4804006Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4804088Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4804175Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4804260Z               30 RETURN_VALUE
2022-11-23T01:32:30.4804266Z 
2022-11-23T01:32:30.4804333Z  
2022-11-23T01:32:30.4804522Z [2022-11-23 01:27:57,133] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4804602Z  - 
2022-11-23T01:32:30.4804726Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4804799Z             {
2022-11-23T01:32:30.4804937Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4805050Z                 'code': None,
2022-11-23T01:32:30.4805263Z                 'obj_weakref': <weakref at 0x7f206070c9f0; to 'Tensor' at 0x7f201e20f240>
2022-11-23T01:32:30.4805513Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4805585Z             }
2022-11-23T01:32:30.4805654Z             
2022-11-23T01:32:30.4805730Z  - 
2022-11-23T01:32:30.4805846Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4805916Z             {
2022-11-23T01:32:30.4806066Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4806180Z                 'code': None,
2022-11-23T01:32:30.4806390Z                 'obj_weakref': <weakref at 0x7f201e20c810; to 'Tensor' at 0x7f201e20fd30>
2022-11-23T01:32:30.4806637Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4806711Z             }
2022-11-23T01:32:30.4806773Z             
2022-11-23T01:32:30.4807033Z [2022-11-23 01:27:57,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258
2022-11-23T01:32:30.4807360Z [2022-11-23 01:27:57,150] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4807365Z 
2022-11-23T01:32:30.4807468Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4807544Z import torch
2022-11-23T01:32:30.4807624Z import random
2022-11-23T01:32:30.4807746Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4807919Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4807925Z 
2022-11-23T01:32:30.4808003Z aten = torch.ops.aten
2022-11-23T01:32:30.4808146Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4808267Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4808272Z 
2022-11-23T01:32:30.4808348Z import triton
2022-11-23T01:32:30.4808442Z import triton.language as tl
2022-11-23T01:32:30.4808569Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4808710Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4808716Z 
2022-11-23T01:32:30.4808720Z 
2022-11-23T01:32:30.4808888Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:30.4808956Z import triton
2022-11-23T01:32:30.4809049Z import triton.language as tl
2022-11-23T01:32:30.4809166Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4809270Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4809409Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4809537Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4809543Z 
2022-11-23T01:32:30.4809962Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4810037Z @triton.jit
2022-11-23T01:32:30.4810194Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4810268Z     xnumel = 6
2022-11-23T01:32:30.4810368Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4810502Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4810585Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4810659Z     x0 = xindex
2022-11-23T01:32:30.4810735Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4810829Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4810920Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.4811001Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.4811080Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:30.4811162Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:30.4811301Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4811435Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4811562Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4811649Z ''')
2022-11-23T01:32:30.4811654Z 
2022-11-23T01:32:30.4811658Z 
2022-11-23T01:32:30.4811761Z async_compile.wait(globals())
2022-11-23T01:32:30.4811858Z del async_compile
2022-11-23T01:32:30.4811863Z 
2022-11-23T01:32:30.4811946Z def call(args):
2022-11-23T01:32:30.4812044Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4812120Z     args.clear()
2022-11-23T01:32:30.4812327Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4812517Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4812710Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4812806Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4812978Z     triton_fused_div_mul_add0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4813054Z     del arg0_1
2022-11-23T01:32:30.4813127Z     del arg1_1
2022-11-23T01:32:30.4813215Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4813220Z 
2022-11-23T01:32:30.4813225Z 
2022-11-23T01:32:30.4813306Z if __name__ == "__main__":
2022-11-23T01:32:30.4813420Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4813552Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4813744Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:30.4813970Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4814096Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4814101Z 
2022-11-23T01:32:30.4814106Z 
2022-11-23T01:32:30.4814207Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4814305Z import torch
2022-11-23T01:32:30.4814373Z import random
2022-11-23T01:32:30.4814497Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4814622Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4814628Z 
2022-11-23T01:32:30.4814711Z aten = torch.ops.aten
2022-11-23T01:32:30.4814854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4814954Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4814959Z 
2022-11-23T01:32:30.4815033Z import triton
2022-11-23T01:32:30.4815127Z import triton.language as tl
2022-11-23T01:32:30.4815246Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4815388Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4815396Z 
2022-11-23T01:32:30.4815401Z 
2022-11-23T01:32:30.4815570Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:30.4815647Z import triton
2022-11-23T01:32:30.4815747Z import triton.language as tl
2022-11-23T01:32:30.4815863Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4815967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4816105Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4816224Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4816230Z 
2022-11-23T01:32:30.4816640Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4816716Z @triton.jit
2022-11-23T01:32:30.4816881Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4816956Z     xnumel = 6
2022-11-23T01:32:30.4817056Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4817189Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4817277Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4817343Z     x0 = xindex
2022-11-23T01:32:30.4817444Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4817521Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4817601Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.4817683Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:30.4817760Z     tmp4 = tmp0 / tmp1
2022-11-23T01:32:30.4817890Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.4818024Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4818157Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4818243Z ''')
2022-11-23T01:32:30.4818249Z 
2022-11-23T01:32:30.4818253Z 
2022-11-23T01:32:30.4818349Z async_compile.wait(globals())
2022-11-23T01:32:30.4818428Z del async_compile
2022-11-23T01:32:30.4818434Z 
2022-11-23T01:32:30.4818511Z def call(args):
2022-11-23T01:32:30.4818592Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4818664Z     args.clear()
2022-11-23T01:32:30.4819081Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4819284Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4819482Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4819575Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4819746Z     triton_fused_div_mul_add0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4819821Z     del arg0_1
2022-11-23T01:32:30.4819896Z     del arg1_1
2022-11-23T01:32:30.4819978Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4819983Z 
2022-11-23T01:32:30.4819987Z 
2022-11-23T01:32:30.4820201Z if __name__ == "__main__":
2022-11-23T01:32:30.4820330Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4820462Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4820663Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4820884Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4821007Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4821012Z 
2022-11-23T01:32:30.4821017Z 
2022-11-23T01:32:30.4821117Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4821185Z import torch
2022-11-23T01:32:30.4821260Z import random
2022-11-23T01:32:30.4821384Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4821510Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4821515Z 
2022-11-23T01:32:30.4821600Z aten = torch.ops.aten
2022-11-23T01:32:30.4821741Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4821842Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4821847Z 
2022-11-23T01:32:30.4821923Z import triton
2022-11-23T01:32:30.4822009Z import triton.language as tl
2022-11-23T01:32:30.4822137Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4822286Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4822291Z 
2022-11-23T01:32:30.4822296Z 
2022-11-23T01:32:30.4822464Z triton_fused_mul_add_div0 = async_compile.triton('''
2022-11-23T01:32:30.4822540Z import triton
2022-11-23T01:32:30.4822634Z import triton.language as tl
2022-11-23T01:32:30.4822750Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4822846Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4822981Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4823109Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4823114Z 
2022-11-23T01:32:30.4823524Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4823603Z @triton.jit
2022-11-23T01:32:30.4823768Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4823845Z     xnumel = 6
2022-11-23T01:32:30.4823946Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4824072Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4824158Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4824231Z     x0 = xindex
2022-11-23T01:32:30.4824307Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4824406Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4824486Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.4824565Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:30.4824636Z     tmp4 = tmp0 / tmp1
2022-11-23T01:32:30.4824774Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.4824907Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4825042Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4825134Z ''')
2022-11-23T01:32:30.4825140Z 
2022-11-23T01:32:30.4825144Z 
2022-11-23T01:32:30.4825240Z async_compile.wait(globals())
2022-11-23T01:32:30.4825321Z del async_compile
2022-11-23T01:32:30.4825326Z 
2022-11-23T01:32:30.4825403Z def call(args):
2022-11-23T01:32:30.4825476Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4825553Z     args.clear()
2022-11-23T01:32:30.4825753Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4825947Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4826143Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4826237Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4826442Z     triton_fused_mul_add_div0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4826510Z     del arg0_1
2022-11-23T01:32:30.4826585Z     del arg1_1
2022-11-23T01:32:30.4826695Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4826700Z 
2022-11-23T01:32:30.4826705Z 
2022-11-23T01:32:30.4826788Z if __name__ == "__main__":
2022-11-23T01:32:30.4826910Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4827041Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4827233Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4827431Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4827545Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4827559Z 
2022-11-23T01:32:30.4827920Z [2022-11-23 01:27:57,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zf/czffvve2zp3jytksvld2eacsexryaahgdbgnlufy6h32ujq4i2rs.py
2022-11-23T01:32:30.4828180Z [2022-11-23 01:27:57,554] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4828451Z [2022-11-23 01:27:57,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258
2022-11-23T01:32:30.4828696Z [2022-11-23 01:27:57,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4829015Z [2022-11-23 01:27:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4829238Z [2022-11-23 01:27:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4829481Z [2022-11-23 01:27:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4829760Z [2022-11-23 01:27:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4830005Z [2022-11-23 01:27:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4830338Z [2022-11-23 01:27:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4830698Z [2022-11-23 01:27:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4830964Z [2022-11-23 01:27:57,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4831264Z [2022-11-23 01:27:57,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4831617Z [2022-11-23 01:27:57,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4831957Z [2022-11-23 01:27:57,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4832208Z [2022-11-23 01:27:57,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4832450Z [2022-11-23 01:27:57,560] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4832698Z [2022-11-23 01:27:57,561] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4832940Z [2022-11-23 01:27:57,565] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4833128Z [2022-11-23 01:27:57,565] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4833272Z  __compiled_fn_267 <eval_with_key>.1646 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4833361Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4833453Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4833660Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4833832Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4834019Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4834156Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4834162Z 
2022-11-23T01:32:30.4834492Z [2022-11-23 01:27:57,565] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4834594Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4834692Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4834777Z                4 BINARY_ADD
2022-11-23T01:32:30.4834871Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4834966Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4835055Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4835140Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4835240Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4835334Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4835432Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4835514Z               20 RETURN_VALUE
2022-11-23T01:32:30.4835523Z 
2022-11-23T01:32:30.4835590Z  
2022-11-23T01:32:30.4835923Z [2022-11-23 01:27:57,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4836033Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_267)
2022-11-23T01:32:30.4836131Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4836226Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4836323Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4836436Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4836549Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4836650Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4836734Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4836838Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4836936Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4837020Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4837126Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4837223Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4837304Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4837402Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4837476Z               30 RETURN_VALUE
2022-11-23T01:32:30.4837481Z 
2022-11-23T01:32:30.4837548Z  
2022-11-23T01:32:30.4837740Z [2022-11-23 01:27:57,566] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4837818Z  - 
2022-11-23T01:32:30.4837944Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4838015Z             {
2022-11-23T01:32:30.4838167Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4838273Z                 'code': None,
2022-11-23T01:32:30.4838493Z                 'obj_weakref': <weakref at 0x7f201e20c810; to 'Tensor' at 0x7f201e20fd30>
2022-11-23T01:32:30.4838753Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4838824Z             }
2022-11-23T01:32:30.4838893Z             
2022-11-23T01:32:30.4838970Z  - 
2022-11-23T01:32:30.4839094Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4839156Z             {
2022-11-23T01:32:30.4839307Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4839422Z                 'code': None,
2022-11-23T01:32:30.4839636Z                 'obj_weakref': <weakref at 0x7f206070c9f0; to 'Tensor' at 0x7f201e20f240>
2022-11-23T01:32:30.4839891Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4839961Z             }
2022-11-23T01:32:30.4840063Z             
2022-11-23T01:32:30.4840323Z [2022-11-23 01:27:57,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259
2022-11-23T01:32:30.4840683Z [2022-11-23 01:27:57,582] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4841049Z [2022-11-23 01:27:57,989] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4le4vihpepcxjszx2l2eiutyd5v5u63wtco7jywkaybwls4pmo2.py
2022-11-23T01:32:30.4841303Z [2022-11-23 01:27:57,989] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4841570Z [2022-11-23 01:27:57,989] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259
2022-11-23T01:32:30.4841838Z [2022-11-23 01:27:57,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4842188Z [2022-11-23 01:27:57,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4842405Z [2022-11-23 01:27:57,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4842655Z [2022-11-23 01:27:57,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4842935Z [2022-11-23 01:27:57,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4843171Z [2022-11-23 01:27:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4843440Z [2022-11-23 01:27:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4843754Z [2022-11-23 01:27:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4844020Z [2022-11-23 01:27:57,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4844320Z [2022-11-23 01:27:57,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4844664Z [2022-11-23 01:27:57,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4844962Z [2022-11-23 01:27:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4845216Z [2022-11-23 01:27:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4845454Z [2022-11-23 01:27:57,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4845706Z [2022-11-23 01:27:57,996] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4845941Z [2022-11-23 01:27:58,000] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4846137Z [2022-11-23 01:27:58,000] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4846284Z  __compiled_fn_268 <eval_with_key>.1652 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4846373Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4846465Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4846639Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4846808Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4846987Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4847106Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4847112Z 
2022-11-23T01:32:30.4847476Z [2022-11-23 01:27:58,000] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4847578Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4847677Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4847757Z                4 BINARY_ADD
2022-11-23T01:32:30.4847878Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4847971Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4848052Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4848148Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4848240Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4848330Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4848428Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4848510Z               20 RETURN_VALUE
2022-11-23T01:32:30.4848516Z 
2022-11-23T01:32:30.4848582Z  
2022-11-23T01:32:30.4848916Z [2022-11-23 01:27:58,001] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4849027Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_268)
2022-11-23T01:32:30.4849126Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4849226Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4849326Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4849439Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4849550Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4849648Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4849725Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4849831Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4849926Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4850008Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4850114Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4850213Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4850295Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4850383Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4850465Z               30 RETURN_VALUE
2022-11-23T01:32:30.4850474Z 
2022-11-23T01:32:30.4850541Z  
2022-11-23T01:32:30.4850734Z [2022-11-23 01:27:58,001] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4850811Z  - 
2022-11-23T01:32:30.4850938Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4851010Z             {
2022-11-23T01:32:30.4851151Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4851265Z                 'code': None,
2022-11-23T01:32:30.4851483Z                 'obj_weakref': <weakref at 0x7f2115dc7330; to 'Tensor' at 0x7f2068204b30>
2022-11-23T01:32:30.4851749Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4851833Z             }
2022-11-23T01:32:30.4851907Z             
2022-11-23T01:32:30.4852005Z  - 
2022-11-23T01:32:30.4852123Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4852193Z             {
2022-11-23T01:32:30.4852345Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4852460Z                 'code': None,
2022-11-23T01:32:30.4852678Z                 'obj_weakref': <weakref at 0x7f20606e71a0; to 'Tensor' at 0x7f201e3c07c0>
2022-11-23T01:32:30.4852925Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4852995Z             }
2022-11-23T01:32:30.4853063Z             
2022-11-23T01:32:30.4853320Z [2022-11-23 01:27:58,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260
2022-11-23T01:32:30.4853660Z [2022-11-23 01:27:58,017] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4854071Z [2022-11-23 01:27:58,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q2/cq23fhq2lhppxlh5oj4jlnqwphexg75sfrnwgtehjndizeuisdrv.py
2022-11-23T01:32:30.4854328Z [2022-11-23 01:27:58,420] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4854626Z [2022-11-23 01:27:58,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260
2022-11-23T01:32:30.4854868Z [2022-11-23 01:27:58,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4855188Z [2022-11-23 01:27:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4855405Z [2022-11-23 01:27:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4855650Z [2022-11-23 01:27:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4855922Z [2022-11-23 01:27:58,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4856166Z [2022-11-23 01:27:58,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4856438Z [2022-11-23 01:27:58,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4856751Z [2022-11-23 01:27:58,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4857016Z [2022-11-23 01:27:58,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4857314Z [2022-11-23 01:27:58,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4857657Z [2022-11-23 01:27:58,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4857956Z [2022-11-23 01:27:58,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4858211Z [2022-11-23 01:27:58,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4858449Z [2022-11-23 01:27:58,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4858690Z [2022-11-23 01:27:58,427] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4859058Z [2022-11-23 01:27:58,431] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4859256Z [2022-11-23 01:27:58,431] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4859404Z  __compiled_fn_269 <eval_with_key>.1658 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4859494Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4859584Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4859756Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4859924Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4860107Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4860226Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4860232Z 
2022-11-23T01:32:30.4860564Z [2022-11-23 01:27:58,432] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4860664Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4860761Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4860842Z                4 BINARY_ADD
2022-11-23T01:32:30.4860936Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4861030Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4861110Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4861252Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4861351Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4861441Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4861565Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4861647Z               20 RETURN_VALUE
2022-11-23T01:32:30.4861652Z 
2022-11-23T01:32:30.4861719Z  
2022-11-23T01:32:30.4862042Z [2022-11-23 01:27:58,432] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4862160Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_269)
2022-11-23T01:32:30.4862256Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4862351Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4862448Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4862563Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4862677Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4862776Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4862852Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4862968Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4863061Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4863144Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4863251Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4863346Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4863427Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4863515Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4863596Z               30 RETURN_VALUE
2022-11-23T01:32:30.4863602Z 
2022-11-23T01:32:30.4863668Z  
2022-11-23T01:32:30.4863861Z [2022-11-23 01:27:58,432] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4863937Z  - 
2022-11-23T01:32:30.4864063Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4864136Z             {
2022-11-23T01:32:30.4864278Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4864397Z                 'code': None,
2022-11-23T01:32:30.4864616Z                 'obj_weakref': <weakref at 0x7f20606e71a0; to 'Tensor' at 0x7f201e3c07c0>
2022-11-23T01:32:30.4864871Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4864944Z             }
2022-11-23T01:32:30.4865017Z             
2022-11-23T01:32:30.4865093Z  - 
2022-11-23T01:32:30.4865210Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4865279Z             {
2022-11-23T01:32:30.4865426Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4865541Z                 'code': None,
2022-11-23T01:32:30.4865756Z                 'obj_weakref': <weakref at 0x7f2115dc7330; to 'Tensor' at 0x7f2068204b30>
2022-11-23T01:32:30.4866011Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4866081Z             }
2022-11-23T01:32:30.4866143Z             
2022-11-23T01:32:30.4866405Z [2022-11-23 01:27:58,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261
2022-11-23T01:32:30.4866745Z [2022-11-23 01:27:58,450] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4866751Z 
2022-11-23T01:32:30.4866852Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4866927Z import torch
2022-11-23T01:32:30.4867003Z import random
2022-11-23T01:32:30.4867127Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4867254Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4867259Z 
2022-11-23T01:32:30.4867337Z aten = torch.ops.aten
2022-11-23T01:32:30.4867479Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4867614Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4867620Z 
2022-11-23T01:32:30.4867696Z import triton
2022-11-23T01:32:30.4867792Z import triton.language as tl
2022-11-23T01:32:30.4867921Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4868087Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4868093Z 
2022-11-23T01:32:30.4868097Z 
2022-11-23T01:32:30.4868268Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:30.4868336Z import triton
2022-11-23T01:32:30.4868433Z import triton.language as tl
2022-11-23T01:32:30.4868550Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4868654Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4868791Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4868918Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4868924Z 
2022-11-23T01:32:30.4869350Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp64', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4869427Z @triton.jit
2022-11-23T01:32:30.4869589Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4869665Z     xnumel = 6
2022-11-23T01:32:30.4869766Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4869899Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4869985Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4870057Z     x0 = xindex
2022-11-23T01:32:30.4870156Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4870225Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4870384Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.4870478Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.4870570Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:30.4870660Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:30.4870805Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4870942Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4871065Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4871160Z ''')
2022-11-23T01:32:30.4871165Z 
2022-11-23T01:32:30.4871170Z 
2022-11-23T01:32:30.4871264Z async_compile.wait(globals())
2022-11-23T01:32:30.4871342Z del async_compile
2022-11-23T01:32:30.4871348Z 
2022-11-23T01:32:30.4871428Z def call(args):
2022-11-23T01:32:30.4871509Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4871588Z     args.clear()
2022-11-23T01:32:30.4871790Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4871983Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4872180Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4872271Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4872447Z     triton_fused_div_mul_add0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4872522Z     del arg0_1
2022-11-23T01:32:30.4872595Z     del arg1_1
2022-11-23T01:32:30.4872690Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4872695Z 
2022-11-23T01:32:30.4872699Z 
2022-11-23T01:32:30.4872780Z if __name__ == "__main__":
2022-11-23T01:32:30.4872895Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4873024Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4873229Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4873418Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.4873539Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4873545Z 
2022-11-23T01:32:30.4873550Z 
2022-11-23T01:32:30.4873648Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4873723Z import torch
2022-11-23T01:32:30.4873825Z import random
2022-11-23T01:32:30.4873950Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4874076Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4874135Z 
2022-11-23T01:32:30.4874220Z aten = torch.ops.aten
2022-11-23T01:32:30.4874361Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4874460Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4874465Z 
2022-11-23T01:32:30.4874541Z import triton
2022-11-23T01:32:30.4874637Z import triton.language as tl
2022-11-23T01:32:30.4874758Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4874905Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4874911Z 
2022-11-23T01:32:30.4874916Z 
2022-11-23T01:32:30.4875086Z triton_fused_add_div_mul0 = async_compile.triton('''
2022-11-23T01:32:30.4875162Z import triton
2022-11-23T01:32:30.4875255Z import triton.language as tl
2022-11-23T01:32:30.4875372Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4875476Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4875613Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4875734Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4875742Z 
2022-11-23T01:32:30.4876156Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4876230Z @triton.jit
2022-11-23T01:32:30.4876395Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4876469Z     xnumel = 6
2022-11-23T01:32:30.4876570Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4876704Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4876790Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4876857Z     x0 = xindex
2022-11-23T01:32:30.4876933Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4877031Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4877121Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.4877204Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.4877283Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:30.4877355Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:30.4877492Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4877627Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4877757Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4877846Z ''')
2022-11-23T01:32:30.4877851Z 
2022-11-23T01:32:30.4877856Z 
2022-11-23T01:32:30.4877950Z async_compile.wait(globals())
2022-11-23T01:32:30.4878028Z del async_compile
2022-11-23T01:32:30.4878033Z 
2022-11-23T01:32:30.4878109Z def call(args):
2022-11-23T01:32:30.4878183Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4878263Z     args.clear()
2022-11-23T01:32:30.4878461Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4878660Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4878856Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4878947Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4879120Z     triton_fused_add_div_mul0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4879198Z     del arg0_1
2022-11-23T01:32:30.4879263Z     del arg1_1
2022-11-23T01:32:30.4879353Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4879359Z 
2022-11-23T01:32:30.4879363Z 
2022-11-23T01:32:30.4879444Z if __name__ == "__main__":
2022-11-23T01:32:30.4879565Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4879694Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4879913Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:30.4880112Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4880228Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4880263Z 
2022-11-23T01:32:30.4880267Z 
2022-11-23T01:32:30.4880361Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4880437Z import torch
2022-11-23T01:32:30.4880511Z import random
2022-11-23T01:32:30.4880636Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4880762Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4880768Z 
2022-11-23T01:32:30.4880849Z aten = torch.ops.aten
2022-11-23T01:32:30.4880992Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4881082Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4881094Z 
2022-11-23T01:32:30.4881162Z import triton
2022-11-23T01:32:30.4881256Z import triton.language as tl
2022-11-23T01:32:30.4881386Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4881528Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4881534Z 
2022-11-23T01:32:30.4881538Z 
2022-11-23T01:32:30.4881706Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:30.4881785Z import triton
2022-11-23T01:32:30.4881879Z import triton.language as tl
2022-11-23T01:32:30.4881988Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4882092Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4882226Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4882376Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4882382Z 
2022-11-23T01:32:30.4882815Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4882890Z @triton.jit
2022-11-23T01:32:30.4883055Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4883130Z     xnumel = 6
2022-11-23T01:32:30.4883222Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4883357Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4883441Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4883516Z     x0 = xindex
2022-11-23T01:32:30.4883615Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4883694Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4883784Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.4883856Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.4883937Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:30.4884014Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:30.4884151Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4884290Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4884421Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4884509Z ''')
2022-11-23T01:32:30.4884515Z 
2022-11-23T01:32:30.4884519Z 
2022-11-23T01:32:30.4884615Z async_compile.wait(globals())
2022-11-23T01:32:30.4884689Z del async_compile
2022-11-23T01:32:30.4884694Z 
2022-11-23T01:32:30.4884771Z def call(args):
2022-11-23T01:32:30.4884852Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4884929Z     args.clear()
2022-11-23T01:32:30.4885130Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4885328Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4885524Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4885609Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4885781Z     triton_fused_div_add_mul0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4885855Z     del arg0_1
2022-11-23T01:32:30.4885929Z     del arg1_1
2022-11-23T01:32:30.4886048Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4886053Z 
2022-11-23T01:32:30.4886058Z 
2022-11-23T01:32:30.4886143Z if __name__ == "__main__":
2022-11-23T01:32:30.4886265Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4886416Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4886610Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4886798Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int32)
2022-11-23T01:32:30.4886920Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4886925Z 
2022-11-23T01:32:30.4887291Z [2022-11-23 01:27:58,855] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7n/c7n2o7w5ua65ibvrp5urqsazrh5yczqfis5dmeei2rffajmm7qy2.py
2022-11-23T01:32:30.4887548Z [2022-11-23 01:27:58,855] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4887817Z [2022-11-23 01:27:58,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261
2022-11-23T01:32:30.4888057Z [2022-11-23 01:27:58,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4888376Z [2022-11-23 01:27:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4888589Z [2022-11-23 01:27:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4888828Z [2022-11-23 01:27:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4889106Z [2022-11-23 01:27:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4889350Z [2022-11-23 01:27:58,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4889622Z [2022-11-23 01:27:58,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4889938Z [2022-11-23 01:27:58,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4890205Z [2022-11-23 01:27:58,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4890498Z [2022-11-23 01:27:58,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4890840Z [2022-11-23 01:27:58,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4891142Z [2022-11-23 01:27:58,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4891397Z [2022-11-23 01:27:58,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4891629Z [2022-11-23 01:27:58,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4891878Z [2022-11-23 01:27:58,863] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4892123Z [2022-11-23 01:27:58,867] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4892320Z [2022-11-23 01:27:58,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4892464Z  __compiled_fn_270 <eval_with_key>.1664 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4892556Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4892643Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4892816Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4892978Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4893165Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4893309Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4893315Z 
2022-11-23T01:32:30.4893648Z [2022-11-23 01:27:58,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4893774Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4893871Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4893950Z                4 BINARY_ADD
2022-11-23T01:32:30.4894047Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4894133Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4894221Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4894315Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4894408Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4894499Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4894595Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4894683Z               20 RETURN_VALUE
2022-11-23T01:32:30.4894688Z 
2022-11-23T01:32:30.4894747Z  
2022-11-23T01:32:30.4895076Z [2022-11-23 01:27:58,868] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4895198Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_270)
2022-11-23T01:32:30.4895294Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4895388Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4895484Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4895598Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4895709Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4895797Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4895881Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4895989Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4896085Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4896167Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4896273Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4896370Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4896446Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4896541Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4896623Z               30 RETURN_VALUE
2022-11-23T01:32:30.4896628Z 
2022-11-23T01:32:30.4896696Z  
2022-11-23T01:32:30.4896889Z [2022-11-23 01:27:58,868] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4896966Z  - 
2022-11-23T01:32:30.4897093Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4897155Z             {
2022-11-23T01:32:30.4897304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4897417Z                 'code': None,
2022-11-23T01:32:30.4897637Z                 'obj_weakref': <weakref at 0x7f2060796d90; to 'Tensor' at 0x7f2060794900>
2022-11-23T01:32:30.4897901Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4897988Z             }
2022-11-23T01:32:30.4898061Z             
2022-11-23T01:32:30.4898147Z  - 
2022-11-23T01:32:30.4898279Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4898348Z             {
2022-11-23T01:32:30.4898496Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4898609Z                 'code': None,
2022-11-23T01:32:30.4899091Z                 'obj_weakref': <weakref at 0x7f2060126340; to 'Tensor' at 0x7f2060795a80>
2022-11-23T01:32:30.4899347Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4899410Z             }
2022-11-23T01:32:30.4899479Z             
2022-11-23T01:32:30.4899744Z [2022-11-23 01:27:58,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262
2022-11-23T01:32:30.4900141Z [2022-11-23 01:27:58,884] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4900539Z [2022-11-23 01:27:59,287] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iz/cizsytg5yzpruv3eu2nuhymwlwgqjdickmumwzwflyg3zrs6jsnx.py
2022-11-23T01:32:30.4900797Z [2022-11-23 01:27:59,287] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4901065Z [2022-11-23 01:27:59,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262
2022-11-23T01:32:30.4901306Z [2022-11-23 01:27:59,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.4901625Z [2022-11-23 01:27:59,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:30.4901837Z [2022-11-23 01:27:59,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.4902082Z [2022-11-23 01:27:59,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.4902365Z [2022-11-23 01:27:59,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4902610Z [2022-11-23 01:27:59,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.4902880Z [2022-11-23 01:27:59,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4903194Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4903457Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4903758Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4904100Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4904399Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4904643Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4904883Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.4905132Z [2022-11-23 01:27:59,294] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.4905371Z [2022-11-23 01:27:59,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.4905571Z [2022-11-23 01:27:59,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4905715Z  __compiled_fn_271 <eval_with_key>.1670 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4905808Z placeholder, x, x, (), {}
2022-11-23T01:32:30.4905895Z placeholder, y, y, (), {}
2022-11-23T01:32:30.4906059Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.4906228Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:30.4906413Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:30.4906535Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:30.4906541Z 
2022-11-23T01:32:30.4906871Z [2022-11-23 01:27:59,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4906971Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4907069Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4907175Z                4 BINARY_ADD
2022-11-23T01:32:30.4907264Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4907358Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4907471Z               10 BINARY_MULTIPLY
2022-11-23T01:32:30.4907564Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4907658Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4907748Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.4907843Z               18 BUILD_TUPLE              3
2022-11-23T01:32:30.4907918Z               20 RETURN_VALUE
2022-11-23T01:32:30.4907931Z 
2022-11-23T01:32:30.4907990Z  
2022-11-23T01:32:30.4908321Z [2022-11-23 01:27:59,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:30.4908438Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_271)
2022-11-23T01:32:30.4908533Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.4908629Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.4908728Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.4908840Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4908947Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4909042Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4909125Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.4909236Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4909331Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4909414Z               20 BINARY_SUBSCR
2022-11-23T01:32:30.4909522Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4909609Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4909692Z               26 BINARY_SUBSCR
2022-11-23T01:32:30.4909789Z               28 BUILD_TUPLE              3
2022-11-23T01:32:30.4909871Z               30 RETURN_VALUE
2022-11-23T01:32:30.4909877Z 
2022-11-23T01:32:30.4909945Z  
2022-11-23T01:32:30.4910138Z [2022-11-23 01:27:59,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4910218Z  - 
2022-11-23T01:32:30.4910408Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.4910497Z             {
2022-11-23T01:32:30.4910655Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4910769Z                 'code': None,
2022-11-23T01:32:30.4910982Z                 'obj_weakref': <weakref at 0x7f2060126340; to 'Tensor' at 0x7f2060795a80>
2022-11-23T01:32:30.4911235Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4911306Z             }
2022-11-23T01:32:30.4911369Z             
2022-11-23T01:32:30.4911444Z  - 
2022-11-23T01:32:30.4911572Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.4911642Z             {
2022-11-23T01:32:30.4911791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4911908Z                 'code': None,
2022-11-23T01:32:30.4912122Z                 'obj_weakref': <weakref at 0x7f2060796d90; to 'Tensor' at 0x7f2060794900>
2022-11-23T01:32:30.4912380Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4912443Z             }
2022-11-23T01:32:30.4912513Z             
2022-11-23T01:32:30.4912774Z [2022-11-23 01:27:59,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263
2022-11-23T01:32:30.4913110Z [2022-11-23 01:27:59,316] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:30.4913477Z [2022-11-23 01:27:59,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpkp3nudp3wq7kvaevjec6at44qqwyx53ugaao4hf25jst3bmvjz.py
2022-11-23T01:32:30.4913768Z [2022-11-23 01:27:59,719] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.4914039Z [2022-11-23 01:27:59,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263
2022-11-23T01:32:30.4914068Z 
2022-11-23T01:32:30.4914171Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4914239Z import torch
2022-11-23T01:32:30.4914315Z import random
2022-11-23T01:32:30.4914438Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4914567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4914572Z 
2022-11-23T01:32:30.4914655Z aten = torch.ops.aten
2022-11-23T01:32:30.4914795Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4914895Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4914900Z 
2022-11-23T01:32:30.4914976Z import triton
2022-11-23T01:32:30.4915063Z import triton.language as tl
2022-11-23T01:32:30.4915191Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4915338Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4915344Z 
2022-11-23T01:32:30.4915349Z 
2022-11-23T01:32:30.4915521Z triton_fused_mul_div_add0 = async_compile.triton('''
2022-11-23T01:32:30.4915604Z import triton
2022-11-23T01:32:30.4915698Z import triton.language as tl
2022-11-23T01:32:30.4915814Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4915911Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4916052Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4916180Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4916185Z 
2022-11-23T01:32:30.4916607Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'i32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4916683Z @triton.jit
2022-11-23T01:32:30.4916850Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4916925Z     xnumel = 6
2022-11-23T01:32:30.4917031Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4917157Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4917245Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4917319Z     x0 = xindex
2022-11-23T01:32:30.4917398Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4917497Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4917588Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.4917668Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.4917740Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:30.4917819Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:30.4917958Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4918095Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4918228Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4918318Z ''')
2022-11-23T01:32:30.4918324Z 
2022-11-23T01:32:30.4918329Z 
2022-11-23T01:32:30.4918423Z async_compile.wait(globals())
2022-11-23T01:32:30.4918501Z del async_compile
2022-11-23T01:32:30.4918506Z 
2022-11-23T01:32:30.4918579Z def call(args):
2022-11-23T01:32:30.4918660Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4918740Z     args.clear()
2022-11-23T01:32:30.4918942Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4919141Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4919337Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4919430Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4919596Z     triton_fused_mul_div_add0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4919671Z     del arg0_1
2022-11-23T01:32:30.4919745Z     del arg1_1
2022-11-23T01:32:30.4919834Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4919870Z 
2022-11-23T01:32:30.4919876Z 
2022-11-23T01:32:30.4919963Z if __name__ == "__main__":
2022-11-23T01:32:30.4920086Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4920239Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4920429Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int32)
2022-11-23T01:32:30.4920623Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4920749Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4920755Z 
2022-11-23T01:32:30.4920759Z 
2022-11-23T01:32:30.4920860Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4920936Z import torch
2022-11-23T01:32:30.4921012Z import random
2022-11-23T01:32:30.4921137Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4921265Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4921270Z 
2022-11-23T01:32:30.4921354Z aten = torch.ops.aten
2022-11-23T01:32:30.4921491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4921589Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4921594Z 
2022-11-23T01:32:30.4921668Z import triton
2022-11-23T01:32:30.4921767Z import triton.language as tl
2022-11-23T01:32:30.4921894Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4922038Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4922045Z 
2022-11-23T01:32:30.4922050Z 
2022-11-23T01:32:30.4922244Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:30.4922327Z import triton
2022-11-23T01:32:30.4922431Z import triton.language as tl
2022-11-23T01:32:30.4922548Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4922654Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4922793Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4922921Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4922928Z 
2022-11-23T01:32:30.4923340Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i64', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4923418Z @triton.jit
2022-11-23T01:32:30.4923581Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4923649Z     xnumel = 6
2022-11-23T01:32:30.4923749Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4923882Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4923967Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4924038Z     x0 = xindex
2022-11-23T01:32:30.4924137Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.4924214Z     tmp1 = in_ptr1
2022-11-23T01:32:30.4924296Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.4924376Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.4924459Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:30.4924540Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:30.4924676Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4924811Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4924947Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4925026Z ''')
2022-11-23T01:32:30.4925032Z 
2022-11-23T01:32:30.4925044Z 
2022-11-23T01:32:30.4925132Z async_compile.wait(globals())
2022-11-23T01:32:30.4925211Z del async_compile
2022-11-23T01:32:30.4925216Z 
2022-11-23T01:32:30.4925292Z def call(args):
2022-11-23T01:32:30.4925373Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4925450Z     args.clear()
2022-11-23T01:32:30.4925648Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4925845Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4926060Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4926154Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4926326Z     triton_fused_div_add_mul0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4926424Z     del arg0_1
2022-11-23T01:32:30.4926497Z     del arg1_1
2022-11-23T01:32:30.4926588Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4926594Z 
2022-11-23T01:32:30.4926598Z 
2022-11-23T01:32:30.4926679Z if __name__ == "__main__":
2022-11-23T01:32:30.4926793Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4926926Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4927130Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4927316Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4927437Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4927442Z 
2022-11-23T01:32:30.4927447Z 
2022-11-23T01:32:30.4927549Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4927625Z import torch
2022-11-23T01:32:30.4927701Z import random
2022-11-23T01:32:30.4927816Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4927947Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4927952Z 
2022-11-23T01:32:30.4928037Z aten = torch.ops.aten
2022-11-23T01:32:30.4928180Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4928278Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4928283Z 
2022-11-23T01:32:30.4928359Z import triton
2022-11-23T01:32:30.4928456Z import triton.language as tl
2022-11-23T01:32:30.4928583Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4928719Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4928725Z 
2022-11-23T01:32:30.4928737Z 
2022-11-23T01:32:30.4928900Z triton_fused_mul_div_add0 = async_compile.triton('''
2022-11-23T01:32:30.4928978Z import triton
2022-11-23T01:32:30.4929071Z import triton.language as tl
2022-11-23T01:32:30.4929187Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.4929291Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.4929432Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.4929554Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.4929565Z 
2022-11-23T01:32:30.4929976Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.4930051Z @triton.jit
2022-11-23T01:32:30.4930214Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.4930287Z     xnumel = 6
2022-11-23T01:32:30.4930386Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.4930521Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.4930605Z     xmask = xindex < xnumel
2022-11-23T01:32:30.4930678Z     x0 = xindex
2022-11-23T01:32:30.4930747Z     tmp0 = in_ptr0
2022-11-23T01:32:30.4930850Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.4930939Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.4931019Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.4931098Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:30.4931176Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:30.4931306Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.4931438Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.4931571Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.4931658Z ''')
2022-11-23T01:32:30.4931664Z 
2022-11-23T01:32:30.4931669Z 
2022-11-23T01:32:30.4931762Z async_compile.wait(globals())
2022-11-23T01:32:30.4931840Z del async_compile
2022-11-23T01:32:30.4931845Z 
2022-11-23T01:32:30.4931949Z def call(args):
2022-11-23T01:32:30.4932031Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.4932101Z     args.clear()
2022-11-23T01:32:30.4932338Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4932579Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4932776Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4932869Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.4933041Z     triton_fused_mul_div_add0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:30.4933116Z     del arg0_1
2022-11-23T01:32:30.4933189Z     del arg1_1
2022-11-23T01:32:30.4933270Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:30.4933275Z 
2022-11-23T01:32:30.4933280Z 
2022-11-23T01:32:30.4933361Z if __name__ == "__main__":
2022-11-23T01:32:30.4933484Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4933617Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4933806Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.4934005Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.4934130Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.4934135Z 
2022-11-23T01:32:30.4934208Z ok (4.707s)
2022-11-23T01:32:30.4934516Z   test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4934840Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4935067Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4935334Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4935619Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4935944Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4936297Z [2022-11-23 01:27:59,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4936622Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4936997Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293> 
2022-11-23T01:32:30.4937104Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4937209Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:30.4937308Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4937406Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.4937494Z                8 BINARY_ADD
2022-11-23T01:32:30.4937637Z               10 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.4937732Z               12 CALL_METHOD              2
2022-11-23T01:32:30.4937829Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4937900Z               16 BINARY_ADD
2022-11-23T01:32:30.4937906Z 
2022-11-23T01:32:30.4938013Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4938119Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:30.4938216Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4938312Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4938407Z               26 CALL_METHOD              2
2022-11-23T01:32:30.4938534Z               28 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4938609Z               30 BINARY_ADD
2022-11-23T01:32:30.4938622Z 
2022-11-23T01:32:30.4938717Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4938961Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:30.4939060Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4939157Z               38 LOAD_CONST               1 (1)
2022-11-23T01:32:30.4939236Z               40 BINARY_ADD
2022-11-23T01:32:30.4939333Z               42 LOAD_CONST               4 (0)
2022-11-23T01:32:30.4939428Z               44 CALL_METHOD              2
2022-11-23T01:32:30.4939516Z               46 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4939596Z               48 BINARY_ADD
2022-11-23T01:32:30.4939602Z 
2022-11-23T01:32:30.4939703Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.4939811Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:30.4939910Z               54 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4940059Z               56 LOAD_CONST               5 (-2)
2022-11-23T01:32:30.4940154Z               58 CALL_METHOD              2
2022-11-23T01:32:30.4940245Z               60 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4940327Z               62 BINARY_ADD
2022-11-23T01:32:30.4940332Z 
2022-11-23T01:32:30.4940428Z 1294          64 BUILD_TUPLE              4
2022-11-23T01:32:30.4940510Z               66 RETURN_VALUE
2022-11-23T01:32:30.4940577Z  
2022-11-23T01:32:30.4940582Z 
2022-11-23T01:32:30.4940897Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295
2022-11-23T01:32:30.4941123Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.4941509Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4941845Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4942197Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4942594Z [2022-11-23 01:27:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4942948Z [2022-11-23 01:27:59,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4943341Z [2022-11-23 01:27:59,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4943584Z [2022-11-23 01:27:59,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.4943874Z [2022-11-23 01:27:59,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4944191Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296
2022-11-23T01:32:30.4944445Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.4944852Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4945264Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4945649Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4946105Z [2022-11-23 01:27:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4946377Z [2022-11-23 01:27:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4946683Z [2022-11-23 01:27:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4947007Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297
2022-11-23T01:32:30.4947288Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4947725Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4948105Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4948507Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4948948Z [2022-11-23 01:27:59,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4949346Z [2022-11-23 01:27:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4949789Z [2022-11-23 01:27:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4950081Z [2022-11-23 01:27:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4950498Z [2022-11-23 01:27:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4950816Z [2022-11-23 01:27:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298
2022-11-23T01:32:30.4951127Z [2022-11-23 01:27:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4951586Z [2022-11-23 01:27:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.4951988Z [2022-11-23 01:27:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.4952460Z [2022-11-23 01:27:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.4952966Z [2022-11-23 01:27:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4953288Z [2022-11-23 01:27:59,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4953651Z [2022-11-23 01:27:59,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4953973Z [2022-11-23 01:27:59,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294
2022-11-23T01:32:30.4954299Z [2022-11-23 01:27:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4954555Z [2022-11-23 01:27:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4954932Z [2022-11-23 01:27:59,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293>
2022-11-23T01:32:30.4955186Z [2022-11-23 01:27:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4955429Z [2022-11-23 01:27:59,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4955695Z [2022-11-23 01:27:59,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4955941Z [2022-11-23 01:27:59,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4956139Z [2022-11-23 01:27:59,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4956284Z  __compiled_fn_272 <eval_with_key>.1676 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4956382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4956563Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.4956812Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:30.4957004Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T01:32:30.4957257Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, 2), {}
2022-11-23T01:32:30.4957442Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T01:32:30.4957628Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.4957881Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add_3, 0), {}
2022-11-23T01:32:30.4958071Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T01:32:30.4958328Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, -2), {}
2022-11-23T01:32:30.4958518Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T01:32:30.4958645Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T01:32:30.4958651Z 
2022-11-23T01:32:30.4958985Z [2022-11-23 01:27:59,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4959087Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.4959179Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4959301Z               4 BUILD_MAP                0
2022-11-23T01:32:30.4959403Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.4959497Z               8 DICT_MERGE               1
2022-11-23T01:32:30.4959596Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.4959702Z              12 RETURN_VALUE
2022-11-23T01:32:30.4959707Z 
2022-11-23T01:32:30.4959775Z  
2022-11-23T01:32:30.4960097Z [2022-11-23 01:27:59,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4960220Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_272)
2022-11-23T01:32:30.4960317Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.4960415Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4960502Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.4960599Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.4960713Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.4960826Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4960918Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.4961001Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.4961113Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4961210Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.4961293Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.4961402Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4961498Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.4961574Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.4961702Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.4961804Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.4961907Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.4962004Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.4962086Z              38 RETURN_VALUE
2022-11-23T01:32:30.4962094Z 
2022-11-23T01:32:30.4962161Z  
2022-11-23T01:32:30.4962347Z [2022-11-23 01:27:59,742] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.4962425Z  - 
2022-11-23T01:32:30.4962556Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.4962627Z             {
2022-11-23T01:32:30.4962774Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.4962974Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.4963099Z                 'obj_weakref': None
2022-11-23T01:32:30.4963322Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.4963394Z             }
2022-11-23T01:32:30.4963464Z             
2022-11-23T01:32:30.4963541Z  - 
2022-11-23T01:32:30.4963671Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.4963741Z             {
2022-11-23T01:32:30.4963893Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.4964004Z                 'code': None,
2022-11-23T01:32:30.4964219Z                 'obj_weakref': <weakref at 0x7f2115dc7560; to 'Tensor' at 0x7f2115af5490>
2022-11-23T01:32:30.4964476Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.4964551Z             }
2022-11-23T01:32:30.4964621Z             
2022-11-23T01:32:30.4964699Z  - 
2022-11-23T01:32:30.4964836Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.4964899Z             {
2022-11-23T01:32:30.4965040Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.4965218Z                 'code': ['___check_obj_id(model, 139776006398608)'],
2022-11-23T01:32:30.4965343Z                 'obj_weakref': None
2022-11-23T01:32:30.4965576Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.4965647Z             }
2022-11-23T01:32:30.4965716Z             
2022-11-23T01:32:30.4965786Z  - 
2022-11-23T01:32:30.4965947Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.4966018Z             {
2022-11-23T01:32:30.4966163Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.4973153Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.4973380Z                 'obj_weakref': None
2022-11-23T01:32:30.4973613Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.4973678Z             }
2022-11-23T01:32:30.4973748Z             
2022-11-23T01:32:30.4973825Z  - 
2022-11-23T01:32:30.4973964Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.4974033Z             {
2022-11-23T01:32:30.4974162Z                 'guard_types': None,
2022-11-23T01:32:30.4974273Z                 'code': None,
2022-11-23T01:32:30.4974389Z                 'obj_weakref': None
2022-11-23T01:32:30.4974516Z                 'guarded_class': None
2022-11-23T01:32:30.4974584Z             }
2022-11-23T01:32:30.4974656Z             
2022-11-23T01:32:30.4974921Z [2022-11-23 01:27:59,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264
2022-11-23T01:32:30.4975290Z [2022-11-23 01:28:01,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crx6kq75asnnn6xpf4step6wcpgssnogxerlgqlnitxc4vg62o25.py
2022-11-23T01:32:30.4975561Z [2022-11-23 01:28:01,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264
2022-11-23T01:32:30.4975567Z 
2022-11-23T01:32:30.4975671Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.4975739Z import torch
2022-11-23T01:32:30.4975815Z import random
2022-11-23T01:32:30.4975938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.4976067Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.4976072Z 
2022-11-23T01:32:30.4976158Z aten = torch.ops.aten
2022-11-23T01:32:30.4976304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.4976405Z async_compile = AsyncCompile()
2022-11-23T01:32:30.4976410Z 
2022-11-23T01:32:30.4976479Z import triton
2022-11-23T01:32:30.4976573Z import triton.language as tl
2022-11-23T01:32:30.4976703Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.4976852Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.4976857Z 
2022-11-23T01:32:30.4976862Z 
2022-11-23T01:32:30.4977001Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.4977216Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.4977344Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.4977452Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.4977550Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.4977652Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.4977754Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.4977825Z {
2022-11-23T01:32:30.4977930Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.4977998Z     {
2022-11-23T01:32:30.4978081Z         #pragma omp for 
2022-11-23T01:32:30.4978166Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.4978235Z         {
2022-11-23T01:32:30.4978396Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.4978541Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.4978633Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4978772Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.4979114Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4979206Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.4979298Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.4979395Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.4979490Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.4979652Z             tmp5.store(out_ptr3 + 8*i0);
2022-11-23T01:32:30.4979724Z         }
2022-11-23T01:32:30.4979825Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.4979918Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.4980008Z         {
2022-11-23T01:32:30.4980099Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.4980204Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.4980300Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.4980407Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.4980496Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.4980578Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:30.4980666Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.4980751Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:30.4980834Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:30.4980918Z             out_ptr3[i0] = tmp5;
2022-11-23T01:32:30.4980987Z         }
2022-11-23T01:32:30.4981056Z     }
2022-11-23T01:32:30.4981117Z }
2022-11-23T01:32:30.4981210Z ''')
2022-11-23T01:32:30.4981215Z 
2022-11-23T01:32:30.4981220Z 
2022-11-23T01:32:30.4981316Z async_compile.wait(globals())
2022-11-23T01:32:30.4981396Z del async_compile
2022-11-23T01:32:30.4981404Z 
2022-11-23T01:32:30.4981480Z def call(args):
2022-11-23T01:32:30.4981555Z     arg0_1, = args
2022-11-23T01:32:30.4981632Z     args.clear()
2022-11-23T01:32:30.4981854Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4982067Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4982282Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4982494Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4982721Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.4982797Z     del arg0_1
2022-11-23T01:32:30.4982892Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.4982897Z 
2022-11-23T01:32:30.4982902Z 
2022-11-23T01:32:30.4982989Z if __name__ == "__main__":
2022-11-23T01:32:30.4983112Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.4983236Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.4983448Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.4983564Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.4983569Z 
2022-11-23T01:32:30.4983642Z ok (1.592s)
2022-11-23T01:32:30.4983960Z   test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.4984282Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.4984503Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.4984757Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.4985039Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.4985352Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4985694Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4986012Z [2022-11-23 01:28:01,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.4986440Z [2022-11-23 01:28:01,317] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314> 
2022-11-23T01:32:30.4986565Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4986665Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.4986745Z                4 BINARY_ADD
2022-11-23T01:32:30.4986848Z                6 STORE_FAST               1 (tmp1)
2022-11-23T01:32:30.4986854Z 
2022-11-23T01:32:30.4986954Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4987058Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:30.4987155Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:30.4987250Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.4987346Z               16 CALL_METHOD              2
2022-11-23T01:32:30.4987427Z               18 POP_TOP
2022-11-23T01:32:30.4987433Z 
2022-11-23T01:32:30.4987534Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.4987642Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:30.4987739Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.4987831Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:30.4987910Z               28 BINARY_ADD
2022-11-23T01:32:30.4988004Z               30 LOAD_CONST               3 (0)
2022-11-23T01:32:30.4988100Z               32 CALL_METHOD              2
2022-11-23T01:32:30.4988195Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:30.4988274Z               36 BINARY_ADD
2022-11-23T01:32:30.4988373Z               38 STORE_FAST               2 (tmp2)
2022-11-23T01:32:30.4988379Z 
2022-11-23T01:32:30.4988468Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:30.4988562Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T01:32:30.4988658Z               44 BUILD_TUPLE              2
2022-11-23T01:32:30.4988745Z               46 RETURN_VALUE
2022-11-23T01:32:30.4988811Z  
2022-11-23T01:32:30.4988817Z 
2022-11-23T01:32:30.4989137Z [2022-11-23 01:28:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315
2022-11-23T01:32:30.4989358Z [2022-11-23 01:28:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.4989601Z [2022-11-23 01:28:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.4989877Z [2022-11-23 01:28:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4990127Z [2022-11-23 01:28:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T01:32:30.4990539Z [2022-11-23 01:28:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316
2022-11-23T01:32:30.4990774Z [2022-11-23 01:28:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.4991090Z [2022-11-23 01:28:01,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4991359Z [2022-11-23 01:28:01,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:30.4991649Z [2022-11-23 01:28:01,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:30.4991977Z [2022-11-23 01:28:01,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4992222Z [2022-11-23 01:28:01,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:30.4992562Z [2022-11-23 01:28:01,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317
2022-11-23T01:32:30.4992774Z [2022-11-23 01:28:01,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.4993105Z [2022-11-23 01:28:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.4993376Z [2022-11-23 01:28:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:30.4993674Z [2022-11-23 01:28:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:30.4994008Z [2022-11-23 01:28:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4994296Z [2022-11-23 01:28:01,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:30.4994623Z [2022-11-23 01:28:01,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4994876Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.4995163Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.4995412Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:30.4995720Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318
2022-11-23T01:32:30.4995945Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T01:32:30.4996198Z [2022-11-23 01:28:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:30.4996473Z [2022-11-23 01:28:01,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.4996728Z [2022-11-23 01:28:01,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4997111Z [2022-11-23 01:28:01,333] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314>
2022-11-23T01:32:30.4997363Z [2022-11-23 01:28:01,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.4997603Z [2022-11-23 01:28:01,333] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.4997863Z [2022-11-23 01:28:01,334] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.4998120Z [2022-11-23 01:28:01,338] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.4998307Z [2022-11-23 01:28:01,338] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.4998455Z  __compiled_fn_273 <eval_with_key>.1682 opcode, name, target, args, kwargs
2022-11-23T01:32:30.4998551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.4998730Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.4998861Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T01:32:30.4999044Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.4999177Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T01:32:30.4999370Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T01:32:30.4999473Z output, output, output, ((add, add_2),), {}
2022-11-23T01:32:30.4999479Z 
2022-11-23T01:32:30.4999852Z [2022-11-23 01:28:01,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.4999956Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5000055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5000180Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5000282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5000374Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5000464Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5000545Z              12 RETURN_VALUE
2022-11-23T01:32:30.5000551Z 
2022-11-23T01:32:30.5000617Z  
2022-11-23T01:32:30.5000949Z [2022-11-23 01:28:01,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5001066Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_273)
2022-11-23T01:32:30.5001163Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5001267Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5001352Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5001438Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5001552Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5001672Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5001783Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5001879Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5002002Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5002099Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5002174Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5002269Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.5002350Z              26 RETURN_VALUE
2022-11-23T01:32:30.5002355Z 
2022-11-23T01:32:30.5002423Z  
2022-11-23T01:32:30.5002614Z [2022-11-23 01:28:01,339] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5002694Z  - 
2022-11-23T01:32:30.5002819Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5002882Z             {
2022-11-23T01:32:30.5003030Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5003231Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5003358Z                 'obj_weakref': None
2022-11-23T01:32:30.5003589Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5003659Z             }
2022-11-23T01:32:30.5003729Z             
2022-11-23T01:32:30.5003798Z  - 
2022-11-23T01:32:30.5003930Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5003999Z             {
2022-11-23T01:32:30.5004148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5004262Z                 'code': None,
2022-11-23T01:32:30.5004472Z                 'obj_weakref': <weakref at 0x7f2023097470; to 'Tensor' at 0x7f2023395350>
2022-11-23T01:32:30.5004726Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5004796Z             }
2022-11-23T01:32:30.5004858Z             
2022-11-23T01:32:30.5004937Z  - 
2022-11-23T01:32:30.5005076Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5005145Z             {
2022-11-23T01:32:30.5005287Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5005463Z                 'code': ['___check_obj_id(model, 139776006398608)'],
2022-11-23T01:32:30.5005581Z                 'obj_weakref': None
2022-11-23T01:32:30.5005816Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5005885Z             }
2022-11-23T01:32:30.5005955Z             
2022-11-23T01:32:30.5006031Z  - 
2022-11-23T01:32:30.5006159Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5006228Z             {
2022-11-23T01:32:30.5006363Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5006615Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5006742Z                 'obj_weakref': None
2022-11-23T01:32:30.5006987Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5007060Z             }
2022-11-23T01:32:30.5007129Z             
2022-11-23T01:32:30.5007207Z  - 
2022-11-23T01:32:30.5007337Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5007407Z             {
2022-11-23T01:32:30.5007532Z                 'guard_types': None,
2022-11-23T01:32:30.5007646Z                 'code': None,
2022-11-23T01:32:30.5007770Z                 'obj_weakref': None
2022-11-23T01:32:30.5007899Z                 'guarded_class': None
2022-11-23T01:32:30.5007967Z             }
2022-11-23T01:32:30.5008028Z             
2022-11-23T01:32:30.5008294Z [2022-11-23 01:28:01,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265
2022-11-23T01:32:30.5008668Z [2022-11-23 01:28:02,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zp/czpor2w3dxpbfow66hsje6l2ho6aovzlyi6g6uapr3zoxgiegdor.py
2022-11-23T01:32:30.5008941Z [2022-11-23 01:28:02,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265
2022-11-23T01:32:30.5008947Z 
2022-11-23T01:32:30.5009047Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5009123Z import torch
2022-11-23T01:32:30.5009198Z import random
2022-11-23T01:32:30.5009324Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5009445Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5009450Z 
2022-11-23T01:32:30.5009535Z aten = torch.ops.aten
2022-11-23T01:32:30.5009674Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5009774Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5009779Z 
2022-11-23T01:32:30.5009855Z import triton
2022-11-23T01:32:30.5009952Z import triton.language as tl
2022-11-23T01:32:30.5010081Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5010224Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5010233Z 
2022-11-23T01:32:30.5010238Z 
2022-11-23T01:32:30.5010368Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5010581Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5010711Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5010819Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5010925Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.5010992Z {
2022-11-23T01:32:30.5011096Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5011157Z     {
2022-11-23T01:32:30.5011239Z         #pragma omp for 
2022-11-23T01:32:30.5011328Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.5011397Z         {
2022-11-23T01:32:30.5011545Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5011687Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5011799Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5011958Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.5012052Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5012153Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5012249Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.5012317Z         }
2022-11-23T01:32:30.5012421Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5012510Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.5012580Z         {
2022-11-23T01:32:30.5012664Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5012769Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5012858Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5012994Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:30.5013086Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5013173Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5013260Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.5013344Z         }
2022-11-23T01:32:30.5013416Z     }
2022-11-23T01:32:30.5013485Z }
2022-11-23T01:32:30.5013573Z ''')
2022-11-23T01:32:30.5013578Z 
2022-11-23T01:32:30.5013583Z 
2022-11-23T01:32:30.5013678Z async_compile.wait(globals())
2022-11-23T01:32:30.5013756Z del async_compile
2022-11-23T01:32:30.5013761Z 
2022-11-23T01:32:30.5013837Z def call(args):
2022-11-23T01:32:30.5013905Z     arg0_1, = args
2022-11-23T01:32:30.5013982Z     args.clear()
2022-11-23T01:32:30.5014198Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5014416Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5014593Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.5014667Z     del arg0_1
2022-11-23T01:32:30.5014791Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T01:32:30.5014796Z 
2022-11-23T01:32:30.5014805Z 
2022-11-23T01:32:30.5014887Z if __name__ == "__main__":
2022-11-23T01:32:30.5015001Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5015132Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5015345Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5015459Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5015464Z 
2022-11-23T01:32:30.5015536Z ok (1.572s)
2022-11-23T01:32:30.5015862Z   test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5016182Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5016405Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5016660Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5016939Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5017262Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5017605Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5017928Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5018296Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074> 
2022-11-23T01:32:30.5018402Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5018523Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:30.5018621Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5018726Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T01:32:30.5019019Z                8 LOAD_CONST               2 (True)
2022-11-23T01:32:30.5019119Z               10 CALL_METHOD              3
2022-11-23T01:32:30.5019125Z 
2022-11-23T01:32:30.5019224Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5019345Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:30.5019446Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5019599Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T01:32:30.5019700Z               20 LOAD_CONST               4 (False)
2022-11-23T01:32:30.5019787Z               22 CALL_METHOD              3
2022-11-23T01:32:30.5019832Z 
2022-11-23T01:32:30.5019922Z 3075          24 BUILD_TUPLE              2
2022-11-23T01:32:30.5020005Z               26 RETURN_VALUE
2022-11-23T01:32:30.5020070Z  
2022-11-23T01:32:30.5020076Z 
2022-11-23T01:32:30.5020392Z [2022-11-23 01:28:02,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076
2022-11-23T01:32:30.5020615Z [2022-11-23 01:28:02,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5020941Z [2022-11-23 01:28:02,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5021219Z [2022-11-23 01:28:02,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:30.5021531Z [2022-11-23 01:28:02,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:30.5021880Z [2022-11-23 01:28:02,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5022254Z [2022-11-23 01:28:02,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:30.5022567Z [2022-11-23 01:28:03,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077
2022-11-23T01:32:30.5022818Z [2022-11-23 01:28:03,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.5023177Z [2022-11-23 01:28:03,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5023484Z [2022-11-23 01:28:03,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:30.5023828Z [2022-11-23 01:28:03,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:30.5024197Z [2022-11-23 01:28:03,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5024603Z [2022-11-23 01:28:03,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:30.5024914Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075
2022-11-23T01:32:30.5025180Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5025432Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5025810Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074>
2022-11-23T01:32:30.5026047Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5026291Z [2022-11-23 01:28:03,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5026579Z [2022-11-23 01:28:03,125] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5026835Z [2022-11-23 01:28:03,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5027055Z [2022-11-23 01:28:03,328] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5027198Z  __compiled_fn_274 <eval_with_key>.1688 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5027296Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5027460Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T01:32:30.5027618Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T01:32:30.5027768Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T01:32:30.5027774Z 
2022-11-23T01:32:30.5028102Z [2022-11-23 01:28:03,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5028209Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5028305Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5028400Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5028505Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5028598Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5028686Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5028772Z              12 RETURN_VALUE
2022-11-23T01:32:30.5028777Z 
2022-11-23T01:32:30.5028844Z  
2022-11-23T01:32:30.5029170Z [2022-11-23 01:28:03,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5029287Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_274)
2022-11-23T01:32:30.5029388Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5029485Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5029571Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5029658Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5029771Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5029885Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5029982Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5030063Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5030171Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5030344Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5030432Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5030540Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.5030641Z              26 RETURN_VALUE
2022-11-23T01:32:30.5030649Z 
2022-11-23T01:32:30.5030720Z  
2022-11-23T01:32:30.5030913Z [2022-11-23 01:28:03,329] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5030989Z  - 
2022-11-23T01:32:30.5031118Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5031181Z             {
2022-11-23T01:32:30.5031327Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5031517Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5031644Z                 'obj_weakref': None
2022-11-23T01:32:30.5031871Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5031941Z             }
2022-11-23T01:32:30.5032011Z             
2022-11-23T01:32:30.5032080Z  - 
2022-11-23T01:32:30.5032213Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5032294Z             {
2022-11-23T01:32:30.5032462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5032591Z                 'code': None,
2022-11-23T01:32:30.5032800Z                 'obj_weakref': <weakref at 0x7f207274c720; to 'Tensor' at 0x7f20230b6250>
2022-11-23T01:32:30.5033084Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5033158Z             }
2022-11-23T01:32:30.5033220Z             
2022-11-23T01:32:30.5033297Z  - 
2022-11-23T01:32:30.5033431Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5033527Z             {
2022-11-23T01:32:30.5033672Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5033847Z                 'code': ['___check_obj_id(model, 139776006398608)'],
2022-11-23T01:32:30.5033963Z                 'obj_weakref': None
2022-11-23T01:32:30.5034194Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5034264Z             }
2022-11-23T01:32:30.5034332Z             
2022-11-23T01:32:30.5034407Z  - 
2022-11-23T01:32:30.5034533Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5034602Z             {
2022-11-23T01:32:30.5034736Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5034958Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5035081Z                 'obj_weakref': None
2022-11-23T01:32:30.5035309Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5035382Z             }
2022-11-23T01:32:30.5035450Z             
2022-11-23T01:32:30.5035526Z  - 
2022-11-23T01:32:30.5035655Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5035725Z             {
2022-11-23T01:32:30.5035849Z                 'guard_types': None,
2022-11-23T01:32:30.5035962Z                 'code': None,
2022-11-23T01:32:30.5036084Z                 'obj_weakref': None
2022-11-23T01:32:30.5036212Z                 'guarded_class': None
2022-11-23T01:32:30.5036281Z             }
2022-11-23T01:32:30.5036342Z             
2022-11-23T01:32:30.5036605Z [2022-11-23 01:28:03,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266
2022-11-23T01:32:30.5036611Z 
2022-11-23T01:32:30.5036715Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5036792Z import torch
2022-11-23T01:32:30.5036868Z import random
2022-11-23T01:32:30.5036990Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5037122Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5037127Z 
2022-11-23T01:32:30.5037212Z aten = torch.ops.aten
2022-11-23T01:32:30.5037346Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5037442Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5037447Z 
2022-11-23T01:32:30.5037524Z import triton
2022-11-23T01:32:30.5037619Z import triton.language as tl
2022-11-23T01:32:30.5037748Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5037893Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5037899Z 
2022-11-23T01:32:30.5037904Z 
2022-11-23T01:32:30.5038042Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5038256Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5038377Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5038485Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5038592Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:30.5038659Z {
2022-11-23T01:32:30.5038764Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5038831Z     {
2022-11-23T01:32:30.5038927Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.5039008Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:30.5039077Z         {
2022-11-23T01:32:30.5039170Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.5039240Z             {
2022-11-23T01:32:30.5039330Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5039428Z                 for(long i2=0; i2<128; i2+=1)
2022-11-23T01:32:30.5039500Z                 {
2022-11-23T01:32:30.5039567Z                     {
2022-11-23T01:32:30.5039641Z                         {
2022-11-23T01:32:30.5039793Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:32:30.5039909Z                             auto tmp1 = 0.2440944881889764 * tmp0;
2022-11-23T01:32:30.5040051Z                             auto tmp2 = std::floor(tmp1);
2022-11-23T01:32:30.5040202Z                             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:30.5040322Z                             auto tmp4 = static_cast<float>(i1);
2022-11-23T01:32:30.5040425Z                             auto tmp5 = 0.49606299212598426 * tmp4;
2022-11-23T01:32:30.5040537Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:32:30.5040686Z                             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:30.5040804Z                             auto tmp8 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5040921Z                             auto tmp9 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5041067Z                             auto tmp10 = tmp8 + -1;
2022-11-23T01:32:30.5041169Z                             auto tmp11 = tmp8 + 0;
2022-11-23T01:32:30.5041260Z                             auto tmp12 = tmp8 + 1;
2022-11-23T01:32:30.5041357Z                             auto tmp13 = tmp8 + 2;
2022-11-23T01:32:30.5041503Z                             auto tmp14 = tmp9 + -1;
2022-11-23T01:32:30.5041599Z                             auto tmp15 = tmp9 + 0;
2022-11-23T01:32:30.5041695Z                             auto tmp16 = tmp9 + 1;
2022-11-23T01:32:30.5041794Z                             auto tmp17 = tmp9 + 2;
2022-11-23T01:32:30.5041910Z                             auto tmp18 = std::min(63, tmp10);
2022-11-23T01:32:30.5042045Z                             auto tmp19 = std::max(0, tmp18);
2022-11-23T01:32:30.5042161Z                             auto tmp20 = std::min(31, tmp14);
2022-11-23T01:32:30.5042294Z                             auto tmp21 = std::max(0, tmp20);
2022-11-23T01:32:30.5042426Z                             auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:30.5042542Z                             auto tmp23 = std::min(31, tmp15);
2022-11-23T01:32:30.5042655Z                             auto tmp24 = std::max(0, tmp23);
2022-11-23T01:32:30.5042785Z                             auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:30.5042906Z                             auto tmp26 = std::min(31, tmp16);
2022-11-23T01:32:30.5043018Z                             auto tmp27 = std::max(0, tmp26);
2022-11-23T01:32:30.5043137Z                             auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:30.5043248Z                             auto tmp29 = std::min(31, tmp17);
2022-11-23T01:32:30.5043358Z                             auto tmp30 = std::max(0, tmp29);
2022-11-23T01:32:30.5043483Z                             auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:30.5043589Z                             auto tmp32 = tmp3 + 1.0;
2022-11-23T01:32:30.5043741Z                             auto tmp33 = -0.75 * tmp32;
2022-11-23T01:32:30.5043896Z                             auto tmp34 = tmp33 - -3.75;
2022-11-23T01:32:30.5044001Z                             auto tmp35 = tmp34 * tmp32;
2022-11-23T01:32:30.5044145Z                             auto tmp36 = tmp35 + -6.0;
2022-11-23T01:32:30.5044252Z                             auto tmp37 = tmp36 * tmp32;
2022-11-23T01:32:30.5044402Z                             auto tmp38 = tmp37 - -3.0;
2022-11-23T01:32:30.5044503Z                             auto tmp39 = 1.25 * tmp3;
2022-11-23T01:32:30.5044652Z                             auto tmp40 = tmp39 - 2.25;
2022-11-23T01:32:30.5044755Z                             auto tmp41 = tmp40 * tmp3;
2022-11-23T01:32:30.5044856Z                             auto tmp42 = tmp41 * tmp3;
2022-11-23T01:32:30.5044952Z                             auto tmp43 = tmp42 + 1.0;
2022-11-23T01:32:30.5045098Z                             auto tmp44 = 1.0 - tmp3;
2022-11-23T01:32:30.5045200Z                             auto tmp45 = 1.25 * tmp44;
2022-11-23T01:32:30.5045396Z                             auto tmp46 = tmp45 - 2.25;
2022-11-23T01:32:30.5045501Z                             auto tmp47 = tmp46 * tmp44;
2022-11-23T01:32:30.5045604Z                             auto tmp48 = tmp47 * tmp44;
2022-11-23T01:32:30.5045729Z                             auto tmp49 = tmp48 + 1.0;
2022-11-23T01:32:30.5045828Z                             auto tmp50 = tmp44 + 1.0;
2022-11-23T01:32:30.5045969Z                             auto tmp51 = -0.75 * tmp50;
2022-11-23T01:32:30.5046119Z                             auto tmp52 = tmp51 - -3.75;
2022-11-23T01:32:30.5046220Z                             auto tmp53 = tmp52 * tmp50;
2022-11-23T01:32:30.5046367Z                             auto tmp54 = tmp53 + -6.0;
2022-11-23T01:32:30.5046467Z                             auto tmp55 = tmp54 * tmp50;
2022-11-23T01:32:30.5046615Z                             auto tmp56 = tmp55 - -3.0;
2022-11-23T01:32:30.5046717Z                             auto tmp57 = tmp22 * tmp38;
2022-11-23T01:32:30.5046813Z                             auto tmp58 = tmp25 * tmp43;
2022-11-23T01:32:30.5046914Z                             auto tmp59 = tmp28 * tmp49;
2022-11-23T01:32:30.5047016Z                             auto tmp60 = tmp31 * tmp56;
2022-11-23T01:32:30.5047120Z                             auto tmp61 = tmp59 + tmp60;
2022-11-23T01:32:30.5047221Z                             auto tmp62 = tmp58 + tmp61;
2022-11-23T01:32:30.5047320Z                             auto tmp63 = tmp57 + tmp62;
2022-11-23T01:32:30.5047434Z                             auto tmp64 = std::min(63, tmp11);
2022-11-23T01:32:30.5047548Z                             auto tmp65 = std::max(0, tmp64);
2022-11-23T01:32:30.5047667Z                             auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:30.5047791Z                             auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:30.5047915Z                             auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:30.5048038Z                             auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:30.5048142Z                             auto tmp70 = tmp66 * tmp38;
2022-11-23T01:32:30.5048249Z                             auto tmp71 = tmp67 * tmp43;
2022-11-23T01:32:30.5048357Z                             auto tmp72 = tmp68 * tmp49;
2022-11-23T01:32:30.5048451Z                             auto tmp73 = tmp69 * tmp56;
2022-11-23T01:32:30.5048552Z                             auto tmp74 = tmp72 + tmp73;
2022-11-23T01:32:30.5048653Z                             auto tmp75 = tmp71 + tmp74;
2022-11-23T01:32:30.5048753Z                             auto tmp76 = tmp70 + tmp75;
2022-11-23T01:32:30.5048868Z                             auto tmp77 = std::min(63, tmp12);
2022-11-23T01:32:30.5048983Z                             auto tmp78 = std::max(0, tmp77);
2022-11-23T01:32:30.5049107Z                             auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:30.5049232Z                             auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:30.5049347Z                             auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:30.5049468Z                             auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:30.5049577Z                             auto tmp83 = tmp79 * tmp38;
2022-11-23T01:32:30.5049681Z                             auto tmp84 = tmp80 * tmp43;
2022-11-23T01:32:30.5049782Z                             auto tmp85 = tmp81 * tmp49;
2022-11-23T01:32:30.5049884Z                             auto tmp86 = tmp82 * tmp56;
2022-11-23T01:32:30.5049983Z                             auto tmp87 = tmp85 + tmp86;
2022-11-23T01:32:30.5050082Z                             auto tmp88 = tmp84 + tmp87;
2022-11-23T01:32:30.5050175Z                             auto tmp89 = tmp83 + tmp88;
2022-11-23T01:32:30.5050290Z                             auto tmp90 = std::min(63, tmp13);
2022-11-23T01:32:30.5050431Z                             auto tmp91 = std::max(0, tmp90);
2022-11-23T01:32:30.5050561Z                             auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:30.5050687Z                             auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:30.5050834Z                             auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:30.5050956Z                             auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:30.5051058Z                             auto tmp96 = tmp92 * tmp38;
2022-11-23T01:32:30.5051153Z                             auto tmp97 = tmp93 * tmp43;
2022-11-23T01:32:30.5051255Z                             auto tmp98 = tmp94 * tmp49;
2022-11-23T01:32:30.5051356Z                             auto tmp99 = tmp95 * tmp56;
2022-11-23T01:32:30.5051463Z                             auto tmp100 = tmp98 + tmp99;
2022-11-23T01:32:30.5051570Z                             auto tmp101 = tmp97 + tmp100;
2022-11-23T01:32:30.5051678Z                             auto tmp102 = tmp96 + tmp101;
2022-11-23T01:32:30.5051783Z                             auto tmp103 = tmp7 + 1.0;
2022-11-23T01:32:30.5051931Z                             auto tmp104 = -0.75 * tmp103;
2022-11-23T01:32:30.5052091Z                             auto tmp105 = tmp104 - -3.75;
2022-11-23T01:32:30.5052201Z                             auto tmp106 = tmp105 * tmp103;
2022-11-23T01:32:30.5052379Z                             auto tmp107 = tmp106 + -6.0;
2022-11-23T01:32:30.5052506Z                             auto tmp108 = tmp107 * tmp103;
2022-11-23T01:32:30.5052665Z                             auto tmp109 = tmp108 - -3.0;
2022-11-23T01:32:30.5052768Z                             auto tmp110 = 1.25 * tmp7;
2022-11-23T01:32:30.5052921Z                             auto tmp111 = tmp110 - 2.25;
2022-11-23T01:32:30.5053019Z                             auto tmp112 = tmp111 * tmp7;
2022-11-23T01:32:30.5053124Z                             auto tmp113 = tmp112 * tmp7;
2022-11-23T01:32:30.5053229Z                             auto tmp114 = tmp113 + 1.0;
2022-11-23T01:32:30.5053382Z                             auto tmp115 = 1.0 - tmp7;
2022-11-23T01:32:30.5053483Z                             auto tmp116 = 1.25 * tmp115;
2022-11-23T01:32:30.5053638Z                             auto tmp117 = tmp116 - 2.25;
2022-11-23T01:32:30.5053745Z                             auto tmp118 = tmp117 * tmp115;
2022-11-23T01:32:30.5053845Z                             auto tmp119 = tmp118 * tmp115;
2022-11-23T01:32:30.5053947Z                             auto tmp120 = tmp119 + 1.0;
2022-11-23T01:32:30.5054047Z                             auto tmp121 = tmp115 + 1.0;
2022-11-23T01:32:30.5054202Z                             auto tmp122 = -0.75 * tmp121;
2022-11-23T01:32:30.5054355Z                             auto tmp123 = tmp122 - -3.75;
2022-11-23T01:32:30.5054460Z                             auto tmp124 = tmp123 * tmp121;
2022-11-23T01:32:30.5054614Z                             auto tmp125 = tmp124 + -6.0;
2022-11-23T01:32:30.5054723Z                             auto tmp126 = tmp125 * tmp121;
2022-11-23T01:32:30.5054868Z                             auto tmp127 = tmp126 - -3.0;
2022-11-23T01:32:30.5054974Z                             auto tmp128 = tmp63 * tmp109;
2022-11-23T01:32:30.5055083Z                             auto tmp129 = tmp76 * tmp114;
2022-11-23T01:32:30.5055188Z                             auto tmp130 = tmp89 * tmp120;
2022-11-23T01:32:30.5055294Z                             auto tmp131 = tmp102 * tmp127;
2022-11-23T01:32:30.5055400Z                             auto tmp132 = tmp130 + tmp131;
2022-11-23T01:32:30.5055507Z                             auto tmp133 = tmp129 + tmp132;
2022-11-23T01:32:30.5055605Z                             auto tmp134 = tmp128 + tmp133;
2022-11-23T01:32:30.5055721Z                             out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134;
2022-11-23T01:32:30.5055797Z                         }
2022-11-23T01:32:30.5055873Z                     }
2022-11-23T01:32:30.5055944Z                 }
2022-11-23T01:32:30.5056043Z             }
2022-11-23T01:32:30.5056114Z         }
2022-11-23T01:32:30.5056206Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.5056297Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:30.5056391Z         {
2022-11-23T01:32:30.5056485Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:30.5056555Z             {
2022-11-23T01:32:30.5056646Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5056743Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:32:30.5056807Z                 {
2022-11-23T01:32:30.5056880Z                     {
2022-11-23T01:32:30.5056954Z                         {
2022-11-23T01:32:30.5057072Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:32:30.5057175Z                             auto tmp1 = tmp0 + 0.5;
2022-11-23T01:32:30.5057277Z                             auto tmp2 = 0.125 * tmp1;
2022-11-23T01:32:30.5057425Z                             auto tmp3 = tmp2 - 0.5;
2022-11-23T01:32:30.5057533Z                             auto tmp4 = std::floor(tmp3);
2022-11-23T01:32:30.5057681Z                             auto tmp5 = tmp3 - tmp4;
2022-11-23T01:32:30.5057799Z                             auto tmp6 = static_cast<float>(i1);
2022-11-23T01:32:30.5057904Z                             auto tmp7 = tmp6 + 0.5;
2022-11-23T01:32:30.5058002Z                             auto tmp8 = 0.5 * tmp7;
2022-11-23T01:32:30.5058145Z                             auto tmp9 = tmp8 - 0.5;
2022-11-23T01:32:30.5058261Z                             auto tmp10 = std::floor(tmp9);
2022-11-23T01:32:30.5058406Z                             auto tmp11 = tmp9 - tmp10;
2022-11-23T01:32:30.5058527Z                             auto tmp12 = static_cast<int>(tmp10);
2022-11-23T01:32:30.5058645Z                             auto tmp13 = static_cast<int>(tmp4);
2022-11-23T01:32:30.5058920Z                             auto tmp14 = tmp12 + -1;
2022-11-23T01:32:30.5059021Z                             auto tmp15 = tmp12 + 0;
2022-11-23T01:32:30.5059124Z                             auto tmp16 = tmp12 + 1;
2022-11-23T01:32:30.5059221Z                             auto tmp17 = tmp12 + 2;
2022-11-23T01:32:30.5059371Z                             auto tmp18 = tmp13 + -1;
2022-11-23T01:32:30.5059464Z                             auto tmp19 = tmp13 + 0;
2022-11-23T01:32:30.5059562Z                             auto tmp20 = tmp13 + 1;
2022-11-23T01:32:30.5059660Z                             auto tmp21 = tmp13 + 2;
2022-11-23T01:32:30.5059779Z                             auto tmp22 = std::min(63, tmp14);
2022-11-23T01:32:30.5059893Z                             auto tmp23 = std::max(0, tmp22);
2022-11-23T01:32:30.5060004Z                             auto tmp24 = std::min(31, tmp18);
2022-11-23T01:32:30.5060114Z                             auto tmp25 = std::max(0, tmp24);
2022-11-23T01:32:30.5060240Z                             auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:30.5060347Z                             auto tmp27 = std::min(31, tmp19);
2022-11-23T01:32:30.5060462Z                             auto tmp28 = std::max(0, tmp27);
2022-11-23T01:32:30.5060586Z                             auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:30.5060703Z                             auto tmp30 = std::min(31, tmp20);
2022-11-23T01:32:30.5060818Z                             auto tmp31 = std::max(0, tmp30);
2022-11-23T01:32:30.5060942Z                             auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:30.5061053Z                             auto tmp33 = std::min(31, tmp21);
2022-11-23T01:32:30.5061167Z                             auto tmp34 = std::max(0, tmp33);
2022-11-23T01:32:30.5061284Z                             auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:30.5061386Z                             auto tmp36 = tmp5 + 1.0;
2022-11-23T01:32:30.5061540Z                             auto tmp37 = -0.75 * tmp36;
2022-11-23T01:32:30.5061690Z                             auto tmp38 = tmp37 - -3.75;
2022-11-23T01:32:30.5061846Z                             auto tmp39 = tmp38 * tmp36;
2022-11-23T01:32:30.5061998Z                             auto tmp40 = tmp39 + -6.0;
2022-11-23T01:32:30.5062100Z                             auto tmp41 = tmp40 * tmp36;
2022-11-23T01:32:30.5062269Z                             auto tmp42 = tmp41 - -3.0;
2022-11-23T01:32:30.5062372Z                             auto tmp43 = 1.25 * tmp5;
2022-11-23T01:32:30.5062525Z                             auto tmp44 = tmp43 - 2.25;
2022-11-23T01:32:30.5062627Z                             auto tmp45 = tmp44 * tmp5;
2022-11-23T01:32:30.5062730Z                             auto tmp46 = tmp45 * tmp5;
2022-11-23T01:32:30.5062835Z                             auto tmp47 = tmp46 + 1.0;
2022-11-23T01:32:30.5062985Z                             auto tmp48 = 1.0 - tmp5;
2022-11-23T01:32:30.5063085Z                             auto tmp49 = 1.25 * tmp48;
2022-11-23T01:32:30.5063225Z                             auto tmp50 = tmp49 - 2.25;
2022-11-23T01:32:30.5063333Z                             auto tmp51 = tmp50 * tmp48;
2022-11-23T01:32:30.5063434Z                             auto tmp52 = tmp51 * tmp48;
2022-11-23T01:32:30.5063538Z                             auto tmp53 = tmp52 + 1.0;
2022-11-23T01:32:30.5063643Z                             auto tmp54 = tmp48 + 1.0;
2022-11-23T01:32:30.5063790Z                             auto tmp55 = -0.75 * tmp54;
2022-11-23T01:32:30.5063938Z                             auto tmp56 = tmp55 - -3.75;
2022-11-23T01:32:30.5064031Z                             auto tmp57 = tmp56 * tmp54;
2022-11-23T01:32:30.5064179Z                             auto tmp58 = tmp57 + -6.0;
2022-11-23T01:32:30.5064280Z                             auto tmp59 = tmp58 * tmp54;
2022-11-23T01:32:30.5064427Z                             auto tmp60 = tmp59 - -3.0;
2022-11-23T01:32:30.5064527Z                             auto tmp61 = tmp26 * tmp42;
2022-11-23T01:32:30.5064631Z                             auto tmp62 = tmp29 * tmp47;
2022-11-23T01:32:30.5064733Z                             auto tmp63 = tmp32 * tmp53;
2022-11-23T01:32:30.5064827Z                             auto tmp64 = tmp35 * tmp60;
2022-11-23T01:32:30.5064927Z                             auto tmp65 = tmp63 + tmp64;
2022-11-23T01:32:30.5065031Z                             auto tmp66 = tmp62 + tmp65;
2022-11-23T01:32:30.5065132Z                             auto tmp67 = tmp61 + tmp66;
2022-11-23T01:32:30.5065247Z                             auto tmp68 = std::min(63, tmp15);
2022-11-23T01:32:30.5065362Z                             auto tmp69 = std::max(0, tmp68);
2022-11-23T01:32:30.5065488Z                             auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:30.5065612Z                             auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:30.5065728Z                             auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:30.5065850Z                             auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:30.5065960Z                             auto tmp74 = tmp70 * tmp42;
2022-11-23T01:32:30.5066064Z                             auto tmp75 = tmp71 * tmp47;
2022-11-23T01:32:30.5066168Z                             auto tmp76 = tmp72 * tmp53;
2022-11-23T01:32:30.5066274Z                             auto tmp77 = tmp73 * tmp60;
2022-11-23T01:32:30.5066376Z                             auto tmp78 = tmp76 + tmp77;
2022-11-23T01:32:30.5066475Z                             auto tmp79 = tmp75 + tmp78;
2022-11-23T01:32:30.5066568Z                             auto tmp80 = tmp74 + tmp79;
2022-11-23T01:32:30.5066682Z                             auto tmp81 = std::min(63, tmp16);
2022-11-23T01:32:30.5066796Z                             auto tmp82 = std::max(0, tmp81);
2022-11-23T01:32:30.5066922Z                             auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:30.5067042Z                             auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:30.5067208Z                             auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:30.5067332Z                             auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:30.5067459Z                             auto tmp87 = tmp83 * tmp42;
2022-11-23T01:32:30.5067554Z                             auto tmp88 = tmp84 * tmp47;
2022-11-23T01:32:30.5067655Z                             auto tmp89 = tmp85 * tmp53;
2022-11-23T01:32:30.5067756Z                             auto tmp90 = tmp86 * tmp60;
2022-11-23T01:32:30.5067857Z                             auto tmp91 = tmp89 + tmp90;
2022-11-23T01:32:30.5067958Z                             auto tmp92 = tmp88 + tmp91;
2022-11-23T01:32:30.5068061Z                             auto tmp93 = tmp87 + tmp92;
2022-11-23T01:32:30.5068175Z                             auto tmp94 = std::min(63, tmp17);
2022-11-23T01:32:30.5068288Z                             auto tmp95 = std::max(0, tmp94);
2022-11-23T01:32:30.5068407Z                             auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:30.5068530Z                             auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:30.5068651Z                             auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:30.5068776Z                             auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:30.5068883Z                             auto tmp100 = tmp96 * tmp42;
2022-11-23T01:32:30.5068990Z                             auto tmp101 = tmp97 * tmp47;
2022-11-23T01:32:30.5069094Z                             auto tmp102 = tmp98 * tmp53;
2022-11-23T01:32:30.5069192Z                             auto tmp103 = tmp99 * tmp60;
2022-11-23T01:32:30.5069300Z                             auto tmp104 = tmp102 + tmp103;
2022-11-23T01:32:30.5069406Z                             auto tmp105 = tmp101 + tmp104;
2022-11-23T01:32:30.5069513Z                             auto tmp106 = tmp100 + tmp105;
2022-11-23T01:32:30.5069618Z                             auto tmp107 = tmp11 + 1.0;
2022-11-23T01:32:30.5069778Z                             auto tmp108 = -0.75 * tmp107;
2022-11-23T01:32:30.5069933Z                             auto tmp109 = tmp108 - -3.75;
2022-11-23T01:32:30.5070041Z                             auto tmp110 = tmp109 * tmp107;
2022-11-23T01:32:30.5070187Z                             auto tmp111 = tmp110 + -6.0;
2022-11-23T01:32:30.5070366Z                             auto tmp112 = tmp111 * tmp107;
2022-11-23T01:32:30.5070543Z                             auto tmp113 = tmp112 - -3.0;
2022-11-23T01:32:30.5070656Z                             auto tmp114 = 1.25 * tmp11;
2022-11-23T01:32:30.5070827Z                             auto tmp115 = tmp114 - 2.25;
2022-11-23T01:32:30.5070933Z                             auto tmp116 = tmp115 * tmp11;
2022-11-23T01:32:30.5071038Z                             auto tmp117 = tmp116 * tmp11;
2022-11-23T01:32:30.5071132Z                             auto tmp118 = tmp117 + 1.0;
2022-11-23T01:32:30.5071285Z                             auto tmp119 = 1.0 - tmp11;
2022-11-23T01:32:30.5071389Z                             auto tmp120 = 1.25 * tmp119;
2022-11-23T01:32:30.5071541Z                             auto tmp121 = tmp120 - 2.25;
2022-11-23T01:32:30.5071659Z                             auto tmp122 = tmp121 * tmp119;
2022-11-23T01:32:30.5071768Z                             auto tmp123 = tmp122 * tmp119;
2022-11-23T01:32:30.5071870Z                             auto tmp124 = tmp123 + 1.0;
2022-11-23T01:32:30.5071972Z                             auto tmp125 = tmp119 + 1.0;
2022-11-23T01:32:30.5072116Z                             auto tmp126 = -0.75 * tmp125;
2022-11-23T01:32:30.5072268Z                             auto tmp127 = tmp126 - -3.75;
2022-11-23T01:32:30.5072373Z                             auto tmp128 = tmp127 * tmp125;
2022-11-23T01:32:30.5072525Z                             auto tmp129 = tmp128 + -6.0;
2022-11-23T01:32:30.5072632Z                             auto tmp130 = tmp129 * tmp125;
2022-11-23T01:32:30.5072818Z                             auto tmp131 = tmp130 - -3.0;
2022-11-23T01:32:30.5072925Z                             auto tmp132 = tmp67 * tmp113;
2022-11-23T01:32:30.5073022Z                             auto tmp133 = tmp80 * tmp118;
2022-11-23T01:32:30.5073153Z                             auto tmp134 = tmp93 * tmp124;
2022-11-23T01:32:30.5073259Z                             auto tmp135 = tmp106 * tmp131;
2022-11-23T01:32:30.5073363Z                             auto tmp136 = tmp134 + tmp135;
2022-11-23T01:32:30.5073468Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:32:30.5073573Z                             auto tmp138 = tmp132 + tmp137;
2022-11-23T01:32:30.5073688Z                             out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138;
2022-11-23T01:32:30.5073764Z                         }
2022-11-23T01:32:30.5073830Z                     }
2022-11-23T01:32:30.5073900Z                 }
2022-11-23T01:32:30.5073969Z             }
2022-11-23T01:32:30.5074039Z         }
2022-11-23T01:32:30.5074110Z     }
2022-11-23T01:32:30.5074176Z }
2022-11-23T01:32:30.5074255Z ''')
2022-11-23T01:32:30.5074261Z 
2022-11-23T01:32:30.5074273Z 
2022-11-23T01:32:30.5074365Z async_compile.wait(globals())
2022-11-23T01:32:30.5074447Z del async_compile
2022-11-23T01:32:30.5074453Z 
2022-11-23T01:32:30.5074529Z def call(args):
2022-11-23T01:32:30.5074603Z     arg0_1, = args
2022-11-23T01:32:30.5074680Z     args.clear()
2022-11-23T01:32:30.5074914Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5075135Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5075300Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.5075373Z     del arg0_1
2022-11-23T01:32:30.5075459Z     return (buf0, buf1, )
2022-11-23T01:32:30.5075465Z 
2022-11-23T01:32:30.5075469Z 
2022-11-23T01:32:30.5075553Z if __name__ == "__main__":
2022-11-23T01:32:30.5075680Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5075808Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5076033Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5076150Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5076507Z [2022-11-23 01:28:05,362] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3y/c3ygzm7wholyi47ppu2htspfwxj5hesew4g72k3uk54m5lpgqeaw.py
2022-11-23T01:32:30.5076782Z [2022-11-23 01:28:05,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266
2022-11-23T01:32:30.5076788Z 
2022-11-23T01:32:30.5076860Z ok (2.484s)
2022-11-23T01:32:30.5077194Z   test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5077520Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5077746Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5078007Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5078289Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5078611Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5078958Z [2022-11-23 01:28:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5079301Z [2022-11-23 01:28:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5079675Z [2022-11-23 01:28:05,373] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007> 
2022-11-23T01:32:30.5079838Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5079961Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:30.5080061Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5080160Z                6 LOAD_CONST               1 (45)
2022-11-23T01:32:30.5080257Z                8 LOAD_CONST               1 (45)
2022-11-23T01:32:30.5080352Z               10 BUILD_LIST               2
2022-11-23T01:32:30.5080445Z               12 LOAD_CONST               2 (False)
2022-11-23T01:32:30.5080544Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5080643Z               16 CALL_METHOD              4
2022-11-23T01:32:30.5080648Z 
2022-11-23T01:32:30.5080748Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5080871Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:30.5080973Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5081070Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5081169Z               26 LOAD_CONST               3 (True)
2022-11-23T01:32:30.5081260Z               28 LOAD_CONST               4 (2.0)
2022-11-23T01:32:30.5081357Z               30 LOAD_CONST               4 (2.0)
2022-11-23T01:32:30.5081451Z               32 BUILD_LIST               2
2022-11-23T01:32:30.5081545Z               34 CALL_METHOD              4
2022-11-23T01:32:30.5081550Z 
2022-11-23T01:32:30.5081644Z 3008          36 BUILD_TUPLE              2
2022-11-23T01:32:30.5081734Z               38 RETURN_VALUE
2022-11-23T01:32:30.5081818Z  
2022-11-23T01:32:30.5081824Z 
2022-11-23T01:32:30.5082169Z [2022-11-23 01:28:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009
2022-11-23T01:32:30.5082383Z [2022-11-23 01:28:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5082716Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5082995Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:30.5083301Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:30.5083640Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5084015Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5084352Z [2022-11-23 01:28:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5084727Z [2022-11-23 01:28:05,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.5085147Z [2022-11-23 01:28:05,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5085465Z [2022-11-23 01:28:05,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010
2022-11-23T01:32:30.5085758Z [2022-11-23 01:28:05,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.5086109Z [2022-11-23 01:28:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5086440Z [2022-11-23 01:28:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:30.5086777Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:30.5087160Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5087584Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:30.5088045Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:30.5088544Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:30.5088988Z [2022-11-23 01:28:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:30.5089305Z [2022-11-23 01:28:05,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008
2022-11-23T01:32:30.5089579Z [2022-11-23 01:28:05,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5089834Z [2022-11-23 01:28:05,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5090211Z [2022-11-23 01:28:05,422] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007>
2022-11-23T01:32:30.5090459Z [2022-11-23 01:28:05,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5090689Z [2022-11-23 01:28:05,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5090950Z [2022-11-23 01:28:05,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5091204Z [2022-11-23 01:28:05,457] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5091402Z [2022-11-23 01:28:05,457] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5091547Z  __compiled_fn_275 <eval_with_key>.1694 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5091643Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5091815Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T01:32:30.5091988Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:30.5092146Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T01:32:30.5092152Z 
2022-11-23T01:32:30.5092528Z [2022-11-23 01:28:05,457] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5092657Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5092759Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5092854Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5092982Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5093077Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5093173Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5093255Z              12 RETURN_VALUE
2022-11-23T01:32:30.5093261Z 
2022-11-23T01:32:30.5093321Z  
2022-11-23T01:32:30.5093653Z [2022-11-23 01:28:05,458] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5093775Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_275)
2022-11-23T01:32:30.5093872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5093970Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5094055Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5094150Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5094255Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5094371Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5094468Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5094552Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5094660Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5094756Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5094839Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5094932Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.5095008Z              26 RETURN_VALUE
2022-11-23T01:32:30.5095013Z 
2022-11-23T01:32:30.5095079Z  
2022-11-23T01:32:30.5095275Z [2022-11-23 01:28:05,458] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5095353Z  - 
2022-11-23T01:32:30.5095479Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5095553Z             {
2022-11-23T01:32:30.5095702Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5095887Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5096016Z                 'obj_weakref': None
2022-11-23T01:32:30.5096248Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5096318Z             }
2022-11-23T01:32:30.5096386Z             
2022-11-23T01:32:30.5096462Z  - 
2022-11-23T01:32:30.5096593Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5096655Z             {
2022-11-23T01:32:30.5096805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5096918Z                 'code': None,
2022-11-23T01:32:30.5097134Z                 'obj_weakref': <weakref at 0x7f2023103920; to 'Tensor' at 0x7f20233b13a0>
2022-11-23T01:32:30.5097389Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5097459Z             }
2022-11-23T01:32:30.5097527Z             
2022-11-23T01:32:30.5097595Z  - 
2022-11-23T01:32:30.5097734Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5097805Z             {
2022-11-23T01:32:30.5097947Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5098124Z                 'code': ['___check_obj_id(model, 139776006800720)'],
2022-11-23T01:32:30.5098248Z                 'obj_weakref': None
2022-11-23T01:32:30.5098481Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5098543Z             }
2022-11-23T01:32:30.5098611Z             
2022-11-23T01:32:30.5098689Z  - 
2022-11-23T01:32:30.5099002Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5099074Z             {
2022-11-23T01:32:30.5099218Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5099486Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5099604Z                 'obj_weakref': None
2022-11-23T01:32:30.5099831Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5099934Z             }
2022-11-23T01:32:30.5100004Z             
2022-11-23T01:32:30.5100080Z  - 
2022-11-23T01:32:30.5100217Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5100288Z             {
2022-11-23T01:32:30.5100407Z                 'guard_types': None,
2022-11-23T01:32:30.5100519Z                 'code': None,
2022-11-23T01:32:30.5100643Z                 'obj_weakref': None
2022-11-23T01:32:30.5100770Z                 'guarded_class': None
2022-11-23T01:32:30.5100839Z             }
2022-11-23T01:32:30.5100907Z             
2022-11-23T01:32:30.5101163Z [2022-11-23 01:28:05,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267
2022-11-23T01:32:30.5101393Z [2022-11-23 01:28:05,494] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:30.5101509Z   target: aten.upsample_bilinear2d.default
2022-11-23T01:32:30.5101606Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:30.5101904Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1]))
2022-11-23T01:32:30.5101992Z   ))
2022-11-23T01:32:30.5102072Z   args[1]: [45, 45]
2022-11-23T01:32:30.5102147Z   args[2]: False
2022-11-23T01:32:30.5102468Z [2022-11-23 01:28:05,494] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it
2022-11-23T01:32:30.5102750Z [2022-11-23 01:28:05,513] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:30.5103024Z [2022-11-23 01:28:05,529] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:30.5103393Z [2022-11-23 01:28:05,532] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wm/cwmckiezp5fd5hrpcnmzbc5oh4t23dbhlnqszf7k7ss5qpwijmli.py
2022-11-23T01:32:30.5103661Z [2022-11-23 01:28:05,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267
2022-11-23T01:32:30.5103670Z 
2022-11-23T01:32:30.5103769Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5103844Z import torch
2022-11-23T01:32:30.5103919Z import random
2022-11-23T01:32:30.5104034Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5104160Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5104165Z 
2022-11-23T01:32:30.5104250Z aten = torch.ops.aten
2022-11-23T01:32:30.5104389Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5104487Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5104492Z 
2022-11-23T01:32:30.5104567Z import triton
2022-11-23T01:32:30.5104662Z import triton.language as tl
2022-11-23T01:32:30.5104793Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5104931Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5104936Z 
2022-11-23T01:32:30.5104949Z 
2022-11-23T01:32:30.5105035Z async_compile.wait(globals())
2022-11-23T01:32:30.5105116Z del async_compile
2022-11-23T01:32:30.5105121Z 
2022-11-23T01:32:30.5105198Z def call(args):
2022-11-23T01:32:30.5105275Z     arg0_1, = args
2022-11-23T01:32:30.5105351Z     args.clear()
2022-11-23T01:32:30.5105508Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T01:32:30.5105580Z     buf1 = buf0
2022-11-23T01:32:30.5105688Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T01:32:30.5105764Z     del buf0
2022-11-23T01:32:30.5105925Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T01:32:30.5105999Z     del arg0_1
2022-11-23T01:32:30.5106070Z     buf3 = buf2
2022-11-23T01:32:30.5106217Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T01:32:30.5106289Z     del buf2
2022-11-23T01:32:30.5106365Z     return (buf1, buf3, )
2022-11-23T01:32:30.5106370Z 
2022-11-23T01:32:30.5106375Z 
2022-11-23T01:32:30.5106456Z if __name__ == "__main__":
2022-11-23T01:32:30.5106601Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5106730Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5106958Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5107073Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5107078Z 
2022-11-23T01:32:30.5107150Z ok (0.167s)
2022-11-23T01:32:30.5107476Z   test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 01:28:05,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5107784Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5108010Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5108268Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5108556Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5108878Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5109224Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5109549Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5109924Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016> 
2022-11-23T01:32:30.5110033Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5110155Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:30.5110306Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5110423Z                6 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5110541Z                8 LOAD_CONST               1 (True)
2022-11-23T01:32:30.5110642Z               10 LOAD_CONST               2 (2.0)
2022-11-23T01:32:30.5110739Z               12 LOAD_CONST               2 (2.0)
2022-11-23T01:32:30.5110837Z               14 BUILD_LIST               2
2022-11-23T01:32:30.5110932Z               16 CALL_METHOD              4
2022-11-23T01:32:30.5111008Z               18 RETURN_VALUE
2022-11-23T01:32:30.5111076Z  
2022-11-23T01:32:30.5111082Z 
2022-11-23T01:32:30.5111410Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017
2022-11-23T01:32:30.5111633Z [2022-11-23 01:28:05,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5111972Z [2022-11-23 01:28:05,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5112252Z [2022-11-23 01:28:05,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:30.5112565Z [2022-11-23 01:28:05,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:30.5112915Z [2022-11-23 01:28:05,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5113335Z [2022-11-23 01:28:05,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:30.5113782Z [2022-11-23 01:28:05,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:30.5114250Z [2022-11-23 01:28:05,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:30.5114666Z [2022-11-23 01:28:05,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:30.5114914Z [2022-11-23 01:28:05,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5115289Z [2022-11-23 01:28:05,564] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016>
2022-11-23T01:32:30.5115543Z [2022-11-23 01:28:05,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5115779Z [2022-11-23 01:28:05,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5116034Z [2022-11-23 01:28:05,565] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5116286Z [2022-11-23 01:28:05,582] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5116480Z [2022-11-23 01:28:05,583] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5116627Z  __compiled_fn_276 <eval_with_key>.1700 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5116723Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5116888Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:30.5117017Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T01:32:30.5117023Z 
2022-11-23T01:32:30.5117347Z [2022-11-23 01:28:05,583] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5117449Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5117546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5117640Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5117741Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5117834Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5117921Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5118005Z              12 RETURN_VALUE
2022-11-23T01:32:30.5118011Z 
2022-11-23T01:32:30.5118077Z  
2022-11-23T01:32:30.5118399Z [2022-11-23 01:28:05,583] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5118519Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_276)
2022-11-23T01:32:30.5118617Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5118713Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5118797Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5118883Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5118979Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.5119060Z              12 RETURN_VALUE
2022-11-23T01:32:30.5119065Z 
2022-11-23T01:32:30.5119131Z  
2022-11-23T01:32:30.5119318Z [2022-11-23 01:28:05,584] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5119394Z  - 
2022-11-23T01:32:30.5119549Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5119613Z             {
2022-11-23T01:32:30.5119758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5119947Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5120091Z                 'obj_weakref': None
2022-11-23T01:32:30.5120316Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5120390Z             }
2022-11-23T01:32:30.5120459Z             
2022-11-23T01:32:30.5120528Z  - 
2022-11-23T01:32:30.5120657Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5120725Z             {
2022-11-23T01:32:30.5120872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5120984Z                 'code': None,
2022-11-23T01:32:30.5121197Z                 'obj_weakref': <weakref at 0x7f202320f240; to 'Tensor' at 0x7f20681c5b70>
2022-11-23T01:32:30.5121452Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5121514Z             }
2022-11-23T01:32:30.5121583Z             
2022-11-23T01:32:30.5121662Z  - 
2022-11-23T01:32:30.5121801Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5121868Z             {
2022-11-23T01:32:30.5122007Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5122181Z                 'code': ['___check_obj_id(model, 139776006800720)'],
2022-11-23T01:32:30.5122298Z                 'obj_weakref': None
2022-11-23T01:32:30.5122555Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5122644Z             }
2022-11-23T01:32:30.5122718Z             
2022-11-23T01:32:30.5122795Z  - 
2022-11-23T01:32:30.5122921Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5122990Z             {
2022-11-23T01:32:30.5123123Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5123347Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5123469Z                 'obj_weakref': None
2022-11-23T01:32:30.5123695Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5123768Z             }
2022-11-23T01:32:30.5123837Z             
2022-11-23T01:32:30.5123912Z  - 
2022-11-23T01:32:30.5124041Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5124109Z             {
2022-11-23T01:32:30.5124237Z                 'guard_types': None,
2022-11-23T01:32:30.5124348Z                 'code': None,
2022-11-23T01:32:30.5124472Z                 'obj_weakref': None
2022-11-23T01:32:30.5124599Z                 'guarded_class': None
2022-11-23T01:32:30.5124667Z             }
2022-11-23T01:32:30.5124728Z             
2022-11-23T01:32:30.5124990Z [2022-11-23 01:28:05,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268
2022-11-23T01:32:30.5125276Z [2022-11-23 01:28:05,621] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:30.5125640Z [2022-11-23 01:28:05,623] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpotbolownso742i5lgysuobe4rksg6swv2ywp4olwgyhmp6nbk.py
2022-11-23T01:32:30.5125914Z [2022-11-23 01:28:05,623] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268
2022-11-23T01:32:30.5125919Z 
2022-11-23T01:32:30.5126019Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5126094Z import torch
2022-11-23T01:32:30.5126169Z import random
2022-11-23T01:32:30.5126284Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5126411Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5126416Z 
2022-11-23T01:32:30.5126502Z aten = torch.ops.aten
2022-11-23T01:32:30.5126643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5126741Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5126783Z 
2022-11-23T01:32:30.5126862Z import triton
2022-11-23T01:32:30.5126956Z import triton.language as tl
2022-11-23T01:32:30.5127077Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5127243Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5127248Z 
2022-11-23T01:32:30.5127253Z 
2022-11-23T01:32:30.5127349Z async_compile.wait(globals())
2022-11-23T01:32:30.5127426Z del async_compile
2022-11-23T01:32:30.5127431Z 
2022-11-23T01:32:30.5127507Z def call(args):
2022-11-23T01:32:30.5127583Z     arg0_1, = args
2022-11-23T01:32:30.5127659Z     args.clear()
2022-11-23T01:32:30.5127824Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T01:32:30.5127891Z     del arg0_1
2022-11-23T01:32:30.5127965Z     buf1 = buf0
2022-11-23T01:32:30.5128083Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T01:32:30.5128154Z     del buf0
2022-11-23T01:32:30.5128232Z     return (buf1, )
2022-11-23T01:32:30.5128240Z 
2022-11-23T01:32:30.5128244Z 
2022-11-23T01:32:30.5128327Z if __name__ == "__main__":
2022-11-23T01:32:30.5128446Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5128579Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5128798Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5128916Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5128922Z 
2022-11-23T01:32:30.5128995Z ok (0.088s)
2022-11-23T01:32:30.5129320Z   test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5129634Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5129858Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5130115Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5130392Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5130712Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5131046Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5131368Z [2022-11-23 01:28:05,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5131739Z [2022-11-23 01:28:05,628] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957> 
2022-11-23T01:32:30.5131842Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5131964Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:30.5132067Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5132184Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:30.5132287Z                8 BUILD_LIST               1
2022-11-23T01:32:30.5132403Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5132499Z               12 CALL_METHOD              3
2022-11-23T01:32:30.5132504Z 
2022-11-23T01:32:30.5132602Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5132722Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:30.5132817Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5132914Z               20 LOAD_CONST               2 (70)
2022-11-23T01:32:30.5133049Z               22 BUILD_LIST               1
2022-11-23T01:32:30.5133150Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5133236Z               26 CALL_METHOD              3
2022-11-23T01:32:30.5133262Z 
2022-11-23T01:32:30.5133360Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5133478Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:30.5133574Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5133669Z               34 LOAD_CONST               3 (45)
2022-11-23T01:32:30.5133766Z               36 BUILD_LIST               1
2022-11-23T01:32:30.5133863Z               38 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5133955Z               40 CALL_METHOD              3
2022-11-23T01:32:30.5133960Z 
2022-11-23T01:32:30.5134050Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5134164Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:30.5134262Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5134357Z               48 LOAD_CONST               4 (36)
2022-11-23T01:32:30.5134449Z               50 BUILD_LIST               1
2022-11-23T01:32:30.5134548Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5134640Z               54 CALL_METHOD              3
2022-11-23T01:32:30.5134645Z 
2022-11-23T01:32:30.5134735Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5134850Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:30.5134944Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5135041Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5135138Z               64 LOAD_CONST               5 (2.0)
2022-11-23T01:32:30.5135231Z               66 BUILD_LIST               1
2022-11-23T01:32:30.5135323Z               68 CALL_METHOD              3
2022-11-23T01:32:30.5135328Z 
2022-11-23T01:32:30.5135420Z 2958          70 BUILD_TUPLE              5
2022-11-23T01:32:30.5135497Z               72 RETURN_VALUE
2022-11-23T01:32:30.5135564Z  
2022-11-23T01:32:30.5135569Z 
2022-11-23T01:32:30.5135889Z [2022-11-23 01:28:05,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959
2022-11-23T01:32:30.5136115Z [2022-11-23 01:28:05,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5136446Z [2022-11-23 01:28:05,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5136722Z [2022-11-23 01:28:05,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:30.5137027Z [2022-11-23 01:28:05,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:30.5137366Z [2022-11-23 01:28:05,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5137699Z [2022-11-23 01:28:05,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5138075Z [2022-11-23 01:28:05,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5138377Z [2022-11-23 01:28:05,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960
2022-11-23T01:32:30.5138628Z [2022-11-23 01:28:05,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.5139158Z [2022-11-23 01:28:05,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5139472Z [2022-11-23 01:28:05,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:30.5139835Z [2022-11-23 01:28:05,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:30.5140202Z [2022-11-23 01:28:05,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5140564Z [2022-11-23 01:28:05,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5140970Z [2022-11-23 01:28:05,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5141284Z [2022-11-23 01:28:05,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961
2022-11-23T01:32:30.5141565Z [2022-11-23 01:28:05,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5141951Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5142282Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:30.5142634Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:30.5143033Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5143421Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5143853Z [2022-11-23 01:28:05,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5144170Z [2022-11-23 01:28:05,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962
2022-11-23T01:32:30.5144475Z [2022-11-23 01:28:05,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5144885Z [2022-11-23 01:28:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5145244Z [2022-11-23 01:28:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:30.5145628Z [2022-11-23 01:28:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:30.5146048Z [2022-11-23 01:28:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5146480Z [2022-11-23 01:28:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5146932Z [2022-11-23 01:28:05,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5147268Z [2022-11-23 01:28:05,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963
2022-11-23T01:32:30.5147589Z [2022-11-23 01:28:05,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5148028Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5148398Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:30.5148820Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:30.5149281Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5149779Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:30.5150338Z [2022-11-23 01:28:05,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:30.5150675Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958
2022-11-23T01:32:30.5151028Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5151279Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5151659Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957>
2022-11-23T01:32:30.5151911Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5152154Z [2022-11-23 01:28:05,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5152413Z [2022-11-23 01:28:05,662] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5152666Z [2022-11-23 01:28:05,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5152853Z [2022-11-23 01:28:05,666] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5152997Z  __compiled_fn_277 <eval_with_key>.1706 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5153093Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5153256Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T01:32:30.5153444Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T01:32:30.5153596Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T01:32:30.5153768Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T01:32:30.5153927Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T01:32:30.5154141Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T01:32:30.5154157Z 
2022-11-23T01:32:30.5154474Z [2022-11-23 01:28:05,667] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5154577Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5154673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5154770Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5154871Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5154964Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5155064Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5155139Z              12 RETURN_VALUE
2022-11-23T01:32:30.5155151Z 
2022-11-23T01:32:30.5155210Z  
2022-11-23T01:32:30.5155535Z [2022-11-23 01:28:05,667] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5155651Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_277)
2022-11-23T01:32:30.5155749Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5155845Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5155927Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5156022Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5156129Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5156241Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5156336Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5156423Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5156531Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5156625Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5156706Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5156808Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5156902Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5156981Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.5157089Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5157183Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.5157263Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.5157370Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5157460Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.5157541Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5157634Z              42 BUILD_TUPLE              5
2022-11-23T01:32:30.5157718Z              44 RETURN_VALUE
2022-11-23T01:32:30.5157723Z 
2022-11-23T01:32:30.5157789Z  
2022-11-23T01:32:30.5157981Z [2022-11-23 01:28:05,667] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5158058Z  - 
2022-11-23T01:32:30.5158174Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5158245Z             {
2022-11-23T01:32:30.5158392Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5158582Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5158706Z                 'obj_weakref': None
2022-11-23T01:32:30.5158930Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5159001Z             }
2022-11-23T01:32:30.5159071Z             
2022-11-23T01:32:30.5159170Z  - 
2022-11-23T01:32:30.5159301Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5159370Z             {
2022-11-23T01:32:30.5159519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5159653Z                 'code': None,
2022-11-23T01:32:30.5159866Z                 'obj_weakref': <weakref at 0x7f202320a0c0; to 'Tensor' at 0x7f20607354e0>
2022-11-23T01:32:30.5160117Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5160179Z             }
2022-11-23T01:32:30.5160248Z             
2022-11-23T01:32:30.5160324Z  - 
2022-11-23T01:32:30.5160460Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5160528Z             {
2022-11-23T01:32:30.5160670Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5160837Z                 'code': ['___check_obj_id(model, 139776006800720)'],
2022-11-23T01:32:30.5160960Z                 'obj_weakref': None
2022-11-23T01:32:30.5161196Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5161267Z             }
2022-11-23T01:32:30.5161335Z             
2022-11-23T01:32:30.5161417Z  - 
2022-11-23T01:32:30.5161542Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5161604Z             {
2022-11-23T01:32:30.5161767Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5162015Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5162139Z                 'obj_weakref': None
2022-11-23T01:32:30.5162366Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5162436Z             }
2022-11-23T01:32:30.5162504Z             
2022-11-23T01:32:30.5162572Z  - 
2022-11-23T01:32:30.5162710Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5162778Z             {
2022-11-23T01:32:30.5162904Z                 'guard_types': None,
2022-11-23T01:32:30.5163022Z                 'code': None,
2022-11-23T01:32:30.5163146Z                 'obj_weakref': None
2022-11-23T01:32:30.5163278Z                 'guarded_class': None
2022-11-23T01:32:30.5163342Z             }
2022-11-23T01:32:30.5163411Z             
2022-11-23T01:32:30.5163675Z [2022-11-23 01:28:05,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269
2022-11-23T01:32:30.5164041Z [2022-11-23 01:28:07,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g2/cg26x7h3ht6rg2xazoossjjei4eroj3lpvzc4hucpnoagj3qwjuh.py
2022-11-23T01:32:30.5164311Z [2022-11-23 01:28:07,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269
2022-11-23T01:32:30.5164317Z 
2022-11-23T01:32:30.5164417Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5164493Z import torch
2022-11-23T01:32:30.5164569Z import random
2022-11-23T01:32:30.5164685Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5164817Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5164823Z 
2022-11-23T01:32:30.5164909Z aten = torch.ops.aten
2022-11-23T01:32:30.5165048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5165148Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5165154Z 
2022-11-23T01:32:30.5165229Z import triton
2022-11-23T01:32:30.5165323Z import triton.language as tl
2022-11-23T01:32:30.5165452Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5165589Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5165595Z 
2022-11-23T01:32:30.5165600Z 
2022-11-23T01:32:30.5165737Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5165949Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5166078Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5166188Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5166327Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.5166434Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.5166535Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.5166649Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:30.5166716Z {
2022-11-23T01:32:30.5166820Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5166888Z     {
2022-11-23T01:32:30.5166970Z         #pragma omp for 
2022-11-23T01:32:30.5167059Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5167120Z         {
2022-11-23T01:32:30.5167208Z             #pragma GCC ivdep
2022-11-23T01:32:30.5167299Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:30.5167367Z             {
2022-11-23T01:32:30.5167438Z                 {
2022-11-23T01:32:30.5167510Z                     {
2022-11-23T01:32:30.5167626Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5167739Z                         auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:30.5167840Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5167956Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5168076Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:30.5168179Z                         out_ptr0[i1 + (74*i0)] = tmp4;
2022-11-23T01:32:30.5168280Z                         out_ptr1[i1 + (74*i0)] = tmp4;
2022-11-23T01:32:30.5168352Z                     }
2022-11-23T01:32:30.5168414Z                 }
2022-11-23T01:32:30.5168483Z             }
2022-11-23T01:32:30.5168551Z         }
2022-11-23T01:32:30.5168633Z         #pragma omp for 
2022-11-23T01:32:30.5168721Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5168790Z         {
2022-11-23T01:32:30.5168879Z             #pragma GCC ivdep
2022-11-23T01:32:30.5168963Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:30.5169032Z             {
2022-11-23T01:32:30.5169102Z                 {
2022-11-23T01:32:30.5169175Z                     {
2022-11-23T01:32:30.5169289Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5169414Z                         auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:30.5169519Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5169626Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5169738Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:30.5169840Z                         out_ptr2[i1 + (70*i0)] = tmp4;
2022-11-23T01:32:30.5169912Z                     }
2022-11-23T01:32:30.5169982Z                 }
2022-11-23T01:32:30.5170051Z             }
2022-11-23T01:32:30.5170117Z         }
2022-11-23T01:32:30.5170192Z         #pragma omp for 
2022-11-23T01:32:30.5170279Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5170349Z         {
2022-11-23T01:32:30.5170437Z             #pragma GCC ivdep
2022-11-23T01:32:30.5170531Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:30.5170599Z             {
2022-11-23T01:32:30.5170668Z                 {
2022-11-23T01:32:30.5170732Z                     {
2022-11-23T01:32:30.5170847Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5170975Z                         auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:30.5171075Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5171189Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5171301Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:30.5171403Z                         out_ptr3[i1 + (45*i0)] = tmp4;
2022-11-23T01:32:30.5171468Z                     }
2022-11-23T01:32:30.5171539Z                 }
2022-11-23T01:32:30.5171610Z             }
2022-11-23T01:32:30.5171680Z         }
2022-11-23T01:32:30.5171781Z         #pragma omp for 
2022-11-23T01:32:30.5171873Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5171990Z         {
2022-11-23T01:32:30.5172081Z             #pragma GCC ivdep
2022-11-23T01:32:30.5172172Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:30.5172240Z             {
2022-11-23T01:32:30.5172336Z                 {
2022-11-23T01:32:30.5172408Z                     {
2022-11-23T01:32:30.5172519Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5172634Z                         auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:30.5172734Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5172847Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5172960Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:30.5173060Z                         out_ptr4[i1 + (36*i0)] = tmp4;
2022-11-23T01:32:30.5173132Z                     }
2022-11-23T01:32:30.5173203Z                 }
2022-11-23T01:32:30.5173264Z             }
2022-11-23T01:32:30.5173331Z         }
2022-11-23T01:32:30.5173401Z     }
2022-11-23T01:32:30.5173466Z }
2022-11-23T01:32:30.5173554Z ''')
2022-11-23T01:32:30.5173560Z 
2022-11-23T01:32:30.5173564Z 
2022-11-23T01:32:30.5173661Z async_compile.wait(globals())
2022-11-23T01:32:30.5173742Z del async_compile
2022-11-23T01:32:30.5173747Z 
2022-11-23T01:32:30.5173824Z def call(args):
2022-11-23T01:32:30.5173891Z     arg0_1, = args
2022-11-23T01:32:30.5173967Z     args.clear()
2022-11-23T01:32:30.5174182Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5174390Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5174592Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5174798Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5174997Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5175243Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.5175314Z     del arg0_1
2022-11-23T01:32:30.5175418Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:30.5175424Z 
2022-11-23T01:32:30.5175428Z 
2022-11-23T01:32:30.5175510Z if __name__ == "__main__":
2022-11-23T01:32:30.5175631Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5175762Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5175973Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5176088Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5176093Z 
2022-11-23T01:32:30.5176165Z ok (1.647s)
2022-11-23T01:32:30.5176496Z   test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:28:07,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5176814Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5177037Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5177291Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5177573Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5177898Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5178245Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5178612Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5179211Z [2022-11-23 01:28:07,275] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995> 
2022-11-23T01:32:30.5179362Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T01:32:30.5179453Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5179554Z                4 LOAD_CONST               1 (6)
2022-11-23T01:32:30.5179657Z                6 LOAD_CONST               2 (12)
2022-11-23T01:32:30.5179755Z                8 BUILD_LIST               2
2022-11-23T01:32:30.5179849Z               10 BUILD_LIST               0
2022-11-23T01:32:30.5179956Z               12 LOAD_CONST               3 ((3, 3, 3, 6))
2022-11-23T01:32:30.5180051Z               14 LIST_EXTEND              1
2022-11-23T01:32:30.5180236Z               16 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:30.5180337Z               18 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.5180343Z 
2022-11-23T01:32:30.5180445Z 2998          20 LOAD_DEREF               0 (func)
2022-11-23T01:32:30.5180548Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5180649Z               24 LOAD_CONST               1 (6)
2022-11-23T01:32:30.5180750Z               26 LOAD_CONST               2 (12)
2022-11-23T01:32:30.5180846Z               28 BUILD_LIST               2
2022-11-23T01:32:30.5180939Z               30 BUILD_LIST               0
2022-11-23T01:32:30.5181038Z               32 LOAD_CONST               5 ((3, 3, 4, 5))
2022-11-23T01:32:30.5181133Z               34 LIST_EXTEND              1
2022-11-23T01:32:30.5181337Z               36 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:30.5181438Z               38 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.5181443Z 
2022-11-23T01:32:30.5181546Z 2999          40 LOAD_DEREF               0 (func)
2022-11-23T01:32:30.5181644Z               42 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5181741Z               44 LOAD_CONST               1 (6)
2022-11-23T01:32:30.5181837Z               46 LOAD_CONST               2 (12)
2022-11-23T01:32:30.5181932Z               48 BUILD_LIST               2
2022-11-23T01:32:30.5182025Z               50 BUILD_LIST               0
2022-11-23T01:32:30.5182129Z               52 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:30.5182223Z               54 LIST_EXTEND              1
2022-11-23T01:32:30.5182426Z               56 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:30.5182525Z               58 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.5182530Z 
2022-11-23T01:32:30.5182630Z 3000          60 LOAD_DEREF               0 (func)
2022-11-23T01:32:30.5182720Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5182819Z               64 LOAD_CONST               1 (6)
2022-11-23T01:32:30.5182917Z               66 LOAD_CONST               2 (12)
2022-11-23T01:32:30.5183012Z               68 BUILD_LIST               2
2022-11-23T01:32:30.5183105Z               70 BUILD_LIST               0
2022-11-23T01:32:30.5183213Z               72 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:30.5183307Z               74 LIST_EXTEND              1
2022-11-23T01:32:30.5183505Z               76 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:30.5183606Z               78 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.5183611Z 
2022-11-23T01:32:30.5183711Z 3001          80 LOAD_DEREF               0 (func)
2022-11-23T01:32:30.5183807Z               82 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5183904Z               84 LOAD_CONST               1 (6)
2022-11-23T01:32:30.5184002Z               86 LOAD_CONST               2 (12)
2022-11-23T01:32:30.5184096Z               88 BUILD_LIST               2
2022-11-23T01:32:30.5184268Z               90 BUILD_LIST               0
2022-11-23T01:32:30.5184372Z               92 LOAD_CONST               7 ((3, 3, 4, 7))
2022-11-23T01:32:30.5184468Z               94 LIST_EXTEND              1
2022-11-23T01:32:30.5184695Z               96 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:30.5184794Z               98 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.5184799Z 
2022-11-23T01:32:30.5184897Z 2996         100 BUILD_TUPLE              5
2022-11-23T01:32:30.5184984Z              102 RETURN_VALUE
2022-11-23T01:32:30.5185051Z  
2022-11-23T01:32:30.5185056Z 
2022-11-23T01:32:30.5185376Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997
2022-11-23T01:32:30.5185589Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T01:32:30.5185882Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:30.5186200Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:30.5186557Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5186943Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5187285Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5187664Z [2022-11-23 01:28:07,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5188073Z [2022-11-23 01:28:07,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5188472Z [2022-11-23 01:28:07,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5188880Z [2022-11-23 01:28:07,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5189193Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998
2022-11-23T01:32:30.5189444Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T01:32:30.5189749Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:30.5190093Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:30.5190564Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5190975Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5191373Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5191773Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5192230Z [2022-11-23 01:28:07,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5192664Z [2022-11-23 01:28:07,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5193108Z [2022-11-23 01:28:07,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5193424Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999
2022-11-23T01:32:30.5193703Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5194046Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:30.5194416Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:30.5194829Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5195272Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5195663Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5196094Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5196555Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5197014Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5197483Z [2022-11-23 01:28:07,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5197797Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000
2022-11-23T01:32:30.5198099Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5198488Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:30.5198907Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:30.5199345Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5199819Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5200244Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5200702Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5201198Z [2022-11-23 01:28:07,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5201707Z [2022-11-23 01:28:07,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5202227Z [2022-11-23 01:28:07,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5202548Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001
2022-11-23T01:32:30.5202877Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5203268Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:30.5203697Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:30.5204163Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5204661Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5205135Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5205620Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5206156Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5206656Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.5207171Z [2022-11-23 01:28:07,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5207486Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996
2022-11-23T01:32:30.5207831Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5208081Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5208454Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995>
2022-11-23T01:32:30.5208708Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5208947Z [2022-11-23 01:28:07,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5209211Z [2022-11-23 01:28:07,286] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5209460Z [2022-11-23 01:28:07,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5209654Z [2022-11-23 01:28:07,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5209795Z  __compiled_fn_278 <eval_with_key>.1712 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5209890Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5210197Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T01:32:30.5210507Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T01:32:30.5210814Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:30.5211117Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:30.5211413Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T01:32:30.5211681Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T01:32:30.5211688Z 
2022-11-23T01:32:30.5212085Z [2022-11-23 01:28:07,291] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5212190Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5212289Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5212382Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5212510Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5212603Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5212698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5212780Z              12 RETURN_VALUE
2022-11-23T01:32:30.5212786Z 
2022-11-23T01:32:30.5212846Z  
2022-11-23T01:32:30.5213180Z [2022-11-23 01:28:07,291] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5213299Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_278)
2022-11-23T01:32:30.5213396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5213492Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5213579Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5213674Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5213779Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5213921Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5214026Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5214120Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.5214227Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5214336Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5214431Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5214513Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.5214616Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5214711Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5214792Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5214904Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5214998Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5215078Z              36 BINARY_SUBSCR
2022-11-23T01:32:30.5215187Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5215274Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:30.5215354Z              42 BINARY_SUBSCR
2022-11-23T01:32:30.5215460Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5215554Z              46 LOAD_CONST               5 (4)
2022-11-23T01:32:30.5215635Z              48 BINARY_SUBSCR
2022-11-23T01:32:30.5215731Z              50 BUILD_TUPLE              5
2022-11-23T01:32:30.5215834Z              52 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5215934Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5216028Z              56 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5216112Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.5216224Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5216327Z              62 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5216435Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5216529Z              66 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5216603Z              68 BINARY_SUBSCR
2022-11-23T01:32:30.5216712Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5216793Z              72 RETURN_VALUE
2022-11-23T01:32:30.5216799Z 
2022-11-23T01:32:30.5216863Z  
2022-11-23T01:32:30.5217057Z [2022-11-23 01:28:07,292] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5217134Z  - 
2022-11-23T01:32:30.5217259Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5217321Z             {
2022-11-23T01:32:30.5217470Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5217692Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5217820Z                 'obj_weakref': None
2022-11-23T01:32:30.5218053Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5218154Z             }
2022-11-23T01:32:30.5218224Z             
2022-11-23T01:32:30.5218294Z  - 
2022-11-23T01:32:30.5218425Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5218494Z             {
2022-11-23T01:32:30.5218644Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5218757Z                 'code': None,
2022-11-23T01:32:30.5219088Z                 'obj_weakref': <weakref at 0x7f20232a40e0; to 'Tensor' at 0x7f2023395350>
2022-11-23T01:32:30.5219345Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5219414Z             }
2022-11-23T01:32:30.5219476Z             
2022-11-23T01:32:30.5219553Z  - 
2022-11-23T01:32:30.5219690Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5219764Z             {
2022-11-23T01:32:30.5219905Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5220082Z                 'code': ['___check_obj_id(model, 139776006800720)'],
2022-11-23T01:32:30.5220204Z                 'obj_weakref': None
2022-11-23T01:32:30.5220439Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5220511Z             }
2022-11-23T01:32:30.5220579Z             
2022-11-23T01:32:30.5220655Z  - 
2022-11-23T01:32:30.5220782Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5220852Z             {
2022-11-23T01:32:30.5220986Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5221205Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5221329Z                 'obj_weakref': None
2022-11-23T01:32:30.5221560Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5221629Z             }
2022-11-23T01:32:30.5221698Z             
2022-11-23T01:32:30.5221776Z  - 
2022-11-23T01:32:30.5221957Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:30.5222029Z             {
2022-11-23T01:32:30.5222169Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5222388Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139777176038336)'],
2022-11-23T01:32:30.5222625Z                 'obj_weakref': <weakref at 0x7f20232a66b0; to 'OpOverloadPacket' at 0x7f2068ecebc0>
2022-11-23T01:32:30.5222874Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:30.5222944Z             }
2022-11-23T01:32:30.5223012Z             
2022-11-23T01:32:30.5223270Z [2022-11-23 01:28:07,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270
2022-11-23T01:32:30.5223276Z 
2022-11-23T01:32:30.5223379Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5223454Z import torch
2022-11-23T01:32:30.5223529Z import random
2022-11-23T01:32:30.5223653Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5223784Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5223790Z 
2022-11-23T01:32:30.5223875Z aten = torch.ops.aten
2022-11-23T01:32:30.5224019Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5224110Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5224115Z 
2022-11-23T01:32:30.5224189Z import triton
2022-11-23T01:32:30.5224283Z import triton.language as tl
2022-11-23T01:32:30.5224411Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5224554Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5224560Z 
2022-11-23T01:32:30.5224565Z 
2022-11-23T01:32:30.5224707Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5224995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5225129Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5225228Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5225366Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.5225469Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.5225569Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.5225671Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:30.5225738Z {
2022-11-23T01:32:30.5225843Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5225903Z     {
2022-11-23T01:32:30.5225999Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.5226088Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:30.5226156Z         {
2022-11-23T01:32:30.5226245Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.5226314Z             {
2022-11-23T01:32:30.5226396Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5226494Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:30.5226564Z                 {
2022-11-23T01:32:30.5226637Z                     {
2022-11-23T01:32:30.5226711Z                         {
2022-11-23T01:32:30.5226841Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:32:30.5226969Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:32:30.5227072Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.5227191Z                             auto tmp3 = static_cast<long>(((4 + (12*i2)) / 5));
2022-11-23T01:32:30.5227315Z                             auto tmp4 = static_cast<long>(((16 + (12*i2)) / 5));
2022-11-23T01:32:30.5227422Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:30.5227526Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:30.5227622Z                             float tmp7 = 0.0;
2022-11-23T01:32:30.5227708Z                             if(tmp6)
2022-11-23T01:32:30.5227784Z                             {
2022-11-23T01:32:30.5227914Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5228010Z                                 tmp7 = tmp8;
2022-11-23T01:32:30.5228088Z                             }
2022-11-23T01:32:30.5228216Z                             auto tmp9 = static_cast<long>(1 + (((4 + (12*i2)) / 5)));
2022-11-23T01:32:30.5228320Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:30.5228425Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:30.5228521Z                             float tmp12 = 0.0;
2022-11-23T01:32:30.5228598Z                             if(tmp11)
2022-11-23T01:32:30.5228673Z                             {
2022-11-23T01:32:30.5228812Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5228910Z                                 tmp12 = tmp13;
2022-11-23T01:32:30.5228985Z                             }
2022-11-23T01:32:30.5229088Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:30.5229220Z                             auto tmp15 = static_cast<long>(2 + (((4 + (12*i2)) / 5)));
2022-11-23T01:32:30.5229327Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:32:30.5229423Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:32:30.5229518Z                             float tmp18 = 0.0;
2022-11-23T01:32:30.5229601Z                             if(tmp17)
2022-11-23T01:32:30.5229676Z                             {
2022-11-23T01:32:30.5229814Z                                 auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5229907Z                                 tmp18 = tmp19;
2022-11-23T01:32:30.5229982Z                             }
2022-11-23T01:32:30.5230108Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:30.5230237Z                             auto tmp21 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:32:30.5230416Z                             auto tmp22 = tmp21 < tmp1;
2022-11-23T01:32:30.5230548Z                             auto tmp23 = tmp22 & tmp5;
2022-11-23T01:32:30.5230647Z                             float tmp24 = 0.0;
2022-11-23T01:32:30.5230733Z                             if(tmp23)
2022-11-23T01:32:30.5230809Z                             {
2022-11-23T01:32:30.5230948Z                                 auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5231035Z                                 tmp24 = tmp25;
2022-11-23T01:32:30.5231111Z                             }
2022-11-23T01:32:30.5231216Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:32:30.5231323Z                             auto tmp27 = tmp22 & tmp10;
2022-11-23T01:32:30.5231420Z                             float tmp28 = 0.0;
2022-11-23T01:32:30.5231505Z                             if(tmp27)
2022-11-23T01:32:30.5231582Z                             {
2022-11-23T01:32:30.5231709Z                                 auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5231803Z                                 tmp28 = tmp29;
2022-11-23T01:32:30.5231883Z                             }
2022-11-23T01:32:30.5231988Z                             auto tmp30 = tmp28 + tmp26;
2022-11-23T01:32:30.5232091Z                             auto tmp31 = tmp22 & tmp16;
2022-11-23T01:32:30.5232187Z                             float tmp32 = 0.0;
2022-11-23T01:32:30.5232271Z                             if(tmp31)
2022-11-23T01:32:30.5232339Z                             {
2022-11-23T01:32:30.5232473Z                                 auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:30.5232564Z                                 tmp32 = tmp33;
2022-11-23T01:32:30.5232642Z                             }
2022-11-23T01:32:30.5232750Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:32:30.5232866Z                             out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34;
2022-11-23T01:32:30.5232945Z                         }
2022-11-23T01:32:30.5233016Z                     }
2022-11-23T01:32:30.5233079Z                 }
2022-11-23T01:32:30.5233149Z             }
2022-11-23T01:32:30.5233216Z         }
2022-11-23T01:32:30.5233299Z         #pragma omp for 
2022-11-23T01:32:30.5233391Z         for(long i0=0; i0<27; i0+=1)
2022-11-23T01:32:30.5233460Z         {
2022-11-23T01:32:30.5233539Z             #pragma GCC ivdep
2022-11-23T01:32:30.5233629Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:30.5233697Z             {
2022-11-23T01:32:30.5233766Z                 {
2022-11-23T01:32:30.5233838Z                     {
2022-11-23T01:32:30.5233952Z                         auto tmp0 = in_ptr0[(2*i1) + (24*i0)];
2022-11-23T01:32:30.5234070Z                         auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)];
2022-11-23T01:32:30.5234179Z                         auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)];
2022-11-23T01:32:30.5234292Z                         auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)];
2022-11-23T01:32:30.5234400Z                         auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:30.5234501Z                         auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:30.5234601Z                         auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:30.5234720Z                         auto tmp7 = static_cast<float>(1.0);
2022-11-23T01:32:30.5234819Z                         auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:30.5234923Z                         out_ptr1[i1 + (6*i0)] = tmp8;
2022-11-23T01:32:30.5234988Z                     }
2022-11-23T01:32:30.5235058Z                 }
2022-11-23T01:32:30.5235128Z             }
2022-11-23T01:32:30.5235199Z         }
2022-11-23T01:32:30.5235297Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.5235416Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:30.5235479Z         {
2022-11-23T01:32:30.5235570Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.5235640Z             {
2022-11-23T01:32:30.5235731Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5235848Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:30.5235918Z                 {
2022-11-23T01:32:30.5235992Z                     {
2022-11-23T01:32:30.5236059Z                         {
2022-11-23T01:32:30.5236179Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:32:30.5236300Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:32:30.5236404Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.5236530Z                             auto tmp3 = static_cast<long>(((7 + (12*i2)) / 8));
2022-11-23T01:32:30.5236661Z                             auto tmp4 = static_cast<long>(((19 + (12*i2)) / 8));
2022-11-23T01:32:30.5236766Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:30.5236868Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:30.5236957Z                             float tmp7 = 0.0;
2022-11-23T01:32:30.5237041Z                             if(tmp6)
2022-11-23T01:32:30.5237122Z                             {
2022-11-23T01:32:30.5237252Z                                 auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5237346Z                                 tmp7 = tmp8;
2022-11-23T01:32:30.5237422Z                             }
2022-11-23T01:32:30.5237552Z                             auto tmp9 = static_cast<long>(1 + (((7 + (12*i2)) / 8)));
2022-11-23T01:32:30.5237649Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:30.5237753Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:30.5237850Z                             float tmp12 = 0.0;
2022-11-23T01:32:30.5237935Z                             if(tmp11)
2022-11-23T01:32:30.5238014Z                             {
2022-11-23T01:32:30.5238146Z                                 auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5238239Z                                 tmp12 = tmp13;
2022-11-23T01:32:30.5238310Z                             }
2022-11-23T01:32:30.5238418Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:30.5238546Z                             auto tmp15 = static_cast<long>(1 + (3*i1));
2022-11-23T01:32:30.5238650Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:30.5238752Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:30.5238846Z                             float tmp18 = 0.0;
2022-11-23T01:32:30.5238931Z                             if(tmp17)
2022-11-23T01:32:30.5239000Z                             {
2022-11-23T01:32:30.5239133Z                                 auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5239231Z                                 tmp18 = tmp19;
2022-11-23T01:32:30.5239307Z                             }
2022-11-23T01:32:30.5239412Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:30.5239517Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:30.5239617Z                             float tmp22 = 0.0;
2022-11-23T01:32:30.5239700Z                             if(tmp21)
2022-11-23T01:32:30.5239769Z                             {
2022-11-23T01:32:30.5239902Z                                 auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5239994Z                                 tmp22 = tmp23;
2022-11-23T01:32:30.5240068Z                             }
2022-11-23T01:32:30.5240172Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:30.5240294Z                             auto tmp25 = static_cast<long>(2 + (3*i1));
2022-11-23T01:32:30.5240399Z                             auto tmp26 = tmp25 < tmp1;
2022-11-23T01:32:30.5240523Z                             auto tmp27 = tmp26 & tmp5;
2022-11-23T01:32:30.5240621Z                             float tmp28 = 0.0;
2022-11-23T01:32:30.5240705Z                             if(tmp27)
2022-11-23T01:32:30.5240809Z                             {
2022-11-23T01:32:30.5240939Z                                 auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5241031Z                                 tmp28 = tmp29;
2022-11-23T01:32:30.5241106Z                             }
2022-11-23T01:32:30.5241210Z                             auto tmp30 = tmp28 + tmp24;
2022-11-23T01:32:30.5241305Z                             auto tmp31 = tmp26 & tmp10;
2022-11-23T01:32:30.5241401Z                             float tmp32 = 0.0;
2022-11-23T01:32:30.5241489Z                             if(tmp31)
2022-11-23T01:32:30.5241564Z                             {
2022-11-23T01:32:30.5241693Z                                 auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5241788Z                                 tmp32 = tmp33;
2022-11-23T01:32:30.5241863Z                             }
2022-11-23T01:32:30.5241961Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:32:30.5242059Z                             float tmp35 = 0.0;
2022-11-23T01:32:30.5242158Z                             if(tmp6)
2022-11-23T01:32:30.5242246Z                             {
2022-11-23T01:32:30.5242403Z                                 auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5242495Z                                 tmp35 = tmp36;
2022-11-23T01:32:30.5242570Z                             }
2022-11-23T01:32:30.5242659Z                             float tmp37 = 0.0;
2022-11-23T01:32:30.5242743Z                             if(tmp11)
2022-11-23T01:32:30.5242820Z                             {
2022-11-23T01:32:30.5242953Z                                 auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5243048Z                                 tmp37 = tmp38;
2022-11-23T01:32:30.5243123Z                             }
2022-11-23T01:32:30.5243228Z                             auto tmp39 = tmp37 + tmp35;
2022-11-23T01:32:30.5243319Z                             float tmp40 = 0.0;
2022-11-23T01:32:30.5243403Z                             if(tmp17)
2022-11-23T01:32:30.5243479Z                             {
2022-11-23T01:32:30.5243609Z                                 auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5243704Z                                 tmp40 = tmp41;
2022-11-23T01:32:30.5243779Z                             }
2022-11-23T01:32:30.5243884Z                             auto tmp42 = tmp40 + tmp39;
2022-11-23T01:32:30.5243978Z                             float tmp43 = 0.0;
2022-11-23T01:32:30.5244057Z                             if(tmp21)
2022-11-23T01:32:30.5244131Z                             {
2022-11-23T01:32:30.5244265Z                                 auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5244356Z                                 tmp43 = tmp44;
2022-11-23T01:32:30.5244437Z                             }
2022-11-23T01:32:30.5244547Z                             auto tmp45 = tmp43 + tmp42;
2022-11-23T01:32:30.5244641Z                             float tmp46 = 0.0;
2022-11-23T01:32:30.5244718Z                             if(tmp27)
2022-11-23T01:32:30.5244794Z                             {
2022-11-23T01:32:30.5244923Z                                 auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5245015Z                                 tmp46 = tmp47;
2022-11-23T01:32:30.5245089Z                             }
2022-11-23T01:32:30.5245192Z                             auto tmp48 = tmp46 + tmp45;
2022-11-23T01:32:30.5245288Z                             float tmp49 = 0.0;
2022-11-23T01:32:30.5245364Z                             if(tmp31)
2022-11-23T01:32:30.5245471Z                             {
2022-11-23T01:32:30.5245604Z                                 auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:30.5245699Z                                 tmp49 = tmp50;
2022-11-23T01:32:30.5245800Z                             }
2022-11-23T01:32:30.5245910Z                             auto tmp51 = tmp49 + tmp48;
2022-11-23T01:32:30.5246027Z                             out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34;
2022-11-23T01:32:30.5246130Z                             out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51;
2022-11-23T01:32:30.5246206Z                         }
2022-11-23T01:32:30.5246277Z                     }
2022-11-23T01:32:30.5246347Z                 }
2022-11-23T01:32:30.5246416Z             }
2022-11-23T01:32:30.5246484Z         }
2022-11-23T01:32:30.5246583Z         #pragma omp for  collapse(2)
2022-11-23T01:32:30.5246665Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:30.5246733Z         {
2022-11-23T01:32:30.5246824Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:30.5246894Z             {
2022-11-23T01:32:30.5246982Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5247079Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:30.5247153Z                 {
2022-11-23T01:32:30.5247218Z                     {
2022-11-23T01:32:30.5247292Z                         {
2022-11-23T01:32:30.5247421Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:32:30.5247549Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:32:30.5247654Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:30.5247783Z                             auto tmp3 = static_cast<long>(((6 + (12*i2)) / 7));
2022-11-23T01:32:30.5247910Z                             auto tmp4 = static_cast<long>(((18 + (12*i2)) / 7));
2022-11-23T01:32:30.5248006Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:30.5248110Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:30.5248211Z                             float tmp7 = 0.0;
2022-11-23T01:32:30.5248294Z                             if(tmp6)
2022-11-23T01:32:30.5248369Z                             {
2022-11-23T01:32:30.5248513Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:30.5248606Z                                 tmp7 = tmp8;
2022-11-23T01:32:30.5248682Z                             }
2022-11-23T01:32:30.5248805Z                             auto tmp9 = static_cast<long>(1 + (((6 + (12*i2)) / 7)));
2022-11-23T01:32:30.5248911Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:30.5249017Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:30.5249114Z                             float tmp12 = 0.0;
2022-11-23T01:32:30.5249198Z                             if(tmp11)
2022-11-23T01:32:30.5249273Z                             {
2022-11-23T01:32:30.5249416Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:30.5249502Z                                 tmp12 = tmp13;
2022-11-23T01:32:30.5249578Z                             }
2022-11-23T01:32:30.5249686Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:30.5249814Z                             auto tmp15 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:32:30.5249920Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:30.5250025Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:30.5250120Z                             float tmp18 = 0.0;
2022-11-23T01:32:30.5250205Z                             if(tmp17)
2022-11-23T01:32:30.5250274Z                             {
2022-11-23T01:32:30.5250415Z                                 auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:30.5250508Z                                 tmp18 = tmp19;
2022-11-23T01:32:30.5250614Z                             }
2022-11-23T01:32:30.5250722Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:30.5250827Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:30.5250947Z                             float tmp22 = 0.0;
2022-11-23T01:32:30.5251024Z                             if(tmp21)
2022-11-23T01:32:30.5251100Z                             {
2022-11-23T01:32:30.5251236Z                                 auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:30.5251329Z                                 tmp22 = tmp23;
2022-11-23T01:32:30.5251404Z                             }
2022-11-23T01:32:30.5251510Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:30.5251625Z                             out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24;
2022-11-23T01:32:30.5251692Z                         }
2022-11-23T01:32:30.5251773Z                     }
2022-11-23T01:32:30.5251864Z                 }
2022-11-23T01:32:30.5251932Z             }
2022-11-23T01:32:30.5252016Z         }
2022-11-23T01:32:30.5252092Z     }
2022-11-23T01:32:30.5252157Z }
2022-11-23T01:32:30.5252246Z ''')
2022-11-23T01:32:30.5252255Z 
2022-11-23T01:32:30.5252260Z 
2022-11-23T01:32:30.5252356Z async_compile.wait(globals())
2022-11-23T01:32:30.5252434Z del async_compile
2022-11-23T01:32:30.5252439Z 
2022-11-23T01:32:30.5252517Z def call(args):
2022-11-23T01:32:30.5252589Z     arg0_1, = args
2022-11-23T01:32:30.5252667Z     args.clear()
2022-11-23T01:32:30.5252886Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5253095Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5253307Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5253510Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5253725Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5253972Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:30.5254051Z     del arg0_1
2022-11-23T01:32:30.5254154Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T01:32:30.5254160Z 
2022-11-23T01:32:30.5254164Z 
2022-11-23T01:32:30.5254247Z if __name__ == "__main__":
2022-11-23T01:32:30.5254370Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5254493Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5254711Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5254827Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5255188Z [2022-11-23 01:28:09,489] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3h5a64trsk7osjt23mgeg4rjzhk6xipgpt2fle65srow5rthgf.py
2022-11-23T01:32:30.5255460Z [2022-11-23 01:28:09,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270
2022-11-23T01:32:30.5255468Z 
2022-11-23T01:32:30.5255542Z ok (2.220s)
2022-11-23T01:32:30.5255869Z   test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:09,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5256185Z [2022-11-23 01:28:09,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5256405Z [2022-11-23 01:28:09,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5256654Z [2022-11-23 01:28:09,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5256965Z [2022-11-23 01:28:09,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5257287Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5257654Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5257977Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5258350Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969> 
2022-11-23T01:32:30.5258454Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5258577Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:30.5258679Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5258780Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:30.5259065Z                8 LOAD_CONST               2 (76)
2022-11-23T01:32:30.5259171Z               10 BUILD_LIST               2
2022-11-23T01:32:30.5259266Z               12 CALL_METHOD              2
2022-11-23T01:32:30.5259272Z 
2022-11-23T01:32:30.5259372Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5259492Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:30.5259590Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5259685Z               20 LOAD_CONST               3 (70)
2022-11-23T01:32:30.5259773Z               22 LOAD_CONST               4 (75)
2022-11-23T01:32:30.5259868Z               24 BUILD_LIST               2
2022-11-23T01:32:30.5259963Z               26 CALL_METHOD              2
2022-11-23T01:32:30.5259968Z 
2022-11-23T01:32:30.5260069Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5260189Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:30.5260285Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5260385Z               34 LOAD_CONST               5 (45)
2022-11-23T01:32:30.5260482Z               36 LOAD_CONST               1 (74)
2022-11-23T01:32:30.5260568Z               38 BUILD_LIST               2
2022-11-23T01:32:30.5260662Z               40 CALL_METHOD              2
2022-11-23T01:32:30.5260667Z 
2022-11-23T01:32:30.5260766Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5260883Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:30.5260979Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5261074Z               48 LOAD_CONST               6 (36)
2022-11-23T01:32:30.5261172Z               50 LOAD_CONST               7 (39)
2022-11-23T01:32:30.5261258Z               52 BUILD_LIST               2
2022-11-23T01:32:30.5261352Z               54 CALL_METHOD              2
2022-11-23T01:32:30.5261357Z 
2022-11-23T01:32:30.5261455Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5261573Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:30.5261671Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5261769Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5261866Z               64 LOAD_CONST               8 (2.0)
2022-11-23T01:32:30.5261964Z               66 LOAD_CONST               8 (2.0)
2022-11-23T01:32:30.5262050Z               68 BUILD_LIST               2
2022-11-23T01:32:30.5262146Z               70 CALL_METHOD              3
2022-11-23T01:32:30.5262151Z 
2022-11-23T01:32:30.5262243Z 2970          72 BUILD_TUPLE              5
2022-11-23T01:32:30.5262326Z               74 RETURN_VALUE
2022-11-23T01:32:30.5262392Z  
2022-11-23T01:32:30.5262397Z 
2022-11-23T01:32:30.5262782Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971
2022-11-23T01:32:30.5263009Z [2022-11-23 01:28:09,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5263362Z [2022-11-23 01:28:09,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5263627Z [2022-11-23 01:28:09,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:30.5263930Z [2022-11-23 01:28:09,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:30.5264267Z [2022-11-23 01:28:09,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5264639Z [2022-11-23 01:28:09,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5264975Z [2022-11-23 01:28:09,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5265295Z [2022-11-23 01:28:09,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972
2022-11-23T01:32:30.5265544Z [2022-11-23 01:28:09,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.5265899Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5266206Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:30.5266546Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:30.5266915Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5267308Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5267654Z [2022-11-23 01:28:09,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5267965Z [2022-11-23 01:28:09,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973
2022-11-23T01:32:30.5268235Z [2022-11-23 01:28:09,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5268609Z [2022-11-23 01:28:09,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5268939Z [2022-11-23 01:28:09,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:30.5269289Z [2022-11-23 01:28:09,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:30.5269675Z [2022-11-23 01:28:09,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5270126Z [2022-11-23 01:28:09,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5270648Z [2022-11-23 01:28:09,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5270969Z [2022-11-23 01:28:09,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974
2022-11-23T01:32:30.5271273Z [2022-11-23 01:28:09,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5271686Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5272045Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:30.5272433Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:30.5272837Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5273284Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5273695Z [2022-11-23 01:28:09,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5274010Z [2022-11-23 01:28:09,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975
2022-11-23T01:32:30.5274335Z [2022-11-23 01:28:09,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5274762Z [2022-11-23 01:28:09,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5275140Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:30.5275549Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:30.5276001Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5276496Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:30.5277062Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:30.5277587Z [2022-11-23 01:28:09,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:30.5277900Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970
2022-11-23T01:32:30.5278249Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5278501Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5278888Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969>
2022-11-23T01:32:30.5279134Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5279376Z [2022-11-23 01:28:09,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5279635Z [2022-11-23 01:28:09,531] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5279890Z [2022-11-23 01:28:09,535] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5280085Z [2022-11-23 01:28:09,535] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5280229Z  __compiled_fn_279 <eval_with_key>.1718 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5280327Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5280484Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T01:32:30.5280641Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T01:32:30.5280785Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T01:32:30.5280931Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T01:32:30.5281094Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T01:32:30.5281319Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T01:32:30.5281326Z 
2022-11-23T01:32:30.5281658Z [2022-11-23 01:28:09,535] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5281765Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5281866Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5281960Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5282055Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5282149Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5282246Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5282345Z              12 RETURN_VALUE
2022-11-23T01:32:30.5282351Z 
2022-11-23T01:32:30.5282424Z  
2022-11-23T01:32:30.5282772Z [2022-11-23 01:28:09,536] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5282889Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_279)
2022-11-23T01:32:30.5282986Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5283075Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5283159Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5283289Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5283403Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5283512Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5283628Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5283710Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5283810Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5283906Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5283988Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5284099Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5284195Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5284276Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.5284384Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5284471Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.5284554Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.5284659Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5284752Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.5284838Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5284934Z              42 BUILD_TUPLE              5
2022-11-23T01:32:30.5285018Z              44 RETURN_VALUE
2022-11-23T01:32:30.5285024Z 
2022-11-23T01:32:30.5285090Z  
2022-11-23T01:32:30.5285272Z [2022-11-23 01:28:09,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5285350Z  - 
2022-11-23T01:32:30.5285476Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5285545Z             {
2022-11-23T01:32:30.5285690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5285881Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5286004Z                 'obj_weakref': None
2022-11-23T01:32:30.5286227Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5286302Z             }
2022-11-23T01:32:30.5286370Z             
2022-11-23T01:32:30.5286445Z  - 
2022-11-23T01:32:30.5286574Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5286651Z             {
2022-11-23T01:32:30.5286790Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5286903Z                 'code': None,
2022-11-23T01:32:30.5287115Z                 'obj_weakref': <weakref at 0x7f202325b650; to 'Tensor' at 0x7f207274df80>
2022-11-23T01:32:30.5287363Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5287432Z             }
2022-11-23T01:32:30.5287501Z             
2022-11-23T01:32:30.5287577Z  - 
2022-11-23T01:32:30.5287712Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5287773Z             {
2022-11-23T01:32:30.5287911Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5288091Z                 'code': ['___check_obj_id(model, 139775431993392)'],
2022-11-23T01:32:30.5288214Z                 'obj_weakref': None
2022-11-23T01:32:30.5288440Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5288512Z             }
2022-11-23T01:32:30.5288580Z             
2022-11-23T01:32:30.5288648Z  - 
2022-11-23T01:32:30.5288773Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5288841Z             {
2022-11-23T01:32:30.5288980Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5289197Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5289319Z                 'obj_weakref': None
2022-11-23T01:32:30.5289542Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5289604Z             }
2022-11-23T01:32:30.5289672Z             
2022-11-23T01:32:30.5289747Z  - 
2022-11-23T01:32:30.5289914Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5289985Z             {
2022-11-23T01:32:30.5290110Z                 'guard_types': None,
2022-11-23T01:32:30.5290213Z                 'code': None,
2022-11-23T01:32:30.5290360Z                 'obj_weakref': None
2022-11-23T01:32:30.5290486Z                 'guarded_class': None
2022-11-23T01:32:30.5290555Z             }
2022-11-23T01:32:30.5290623Z             
2022-11-23T01:32:30.5290882Z [2022-11-23 01:28:09,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271
2022-11-23T01:32:30.5291247Z [2022-11-23 01:28:11,193] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cie5kmzervutynau7vhiox6lz53x3q2tqbde7hlv5kezj72ea5ar.py
2022-11-23T01:32:30.5291513Z [2022-11-23 01:28:11,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271
2022-11-23T01:32:30.5291519Z 
2022-11-23T01:32:30.5291616Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5291691Z import torch
2022-11-23T01:32:30.5291770Z import random
2022-11-23T01:32:30.5291919Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5292066Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5292076Z 
2022-11-23T01:32:30.5292164Z aten = torch.ops.aten
2022-11-23T01:32:30.5292307Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5292404Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5292410Z 
2022-11-23T01:32:30.5292477Z import triton
2022-11-23T01:32:30.5292570Z import triton.language as tl
2022-11-23T01:32:30.5292699Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5292845Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5292851Z 
2022-11-23T01:32:30.5292856Z 
2022-11-23T01:32:30.5292994Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5293203Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5293332Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5293439Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5293535Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.5293641Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.5293740Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.5293841Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:30.5293907Z {
2022-11-23T01:32:30.5294011Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5294077Z     {
2022-11-23T01:32:30.5294153Z         #pragma omp for 
2022-11-23T01:32:30.5294242Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5294310Z         {
2022-11-23T01:32:30.5294397Z             #pragma GCC ivdep
2022-11-23T01:32:30.5294488Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:30.5294556Z             {
2022-11-23T01:32:30.5294636Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5294734Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:32:30.5294805Z                 {
2022-11-23T01:32:30.5294877Z                     {
2022-11-23T01:32:30.5294951Z                         {
2022-11-23T01:32:30.5295072Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5295192Z                             auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:30.5295285Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5295399Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5295516Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5295618Z                             auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:30.5295731Z                             auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:32:30.5295858Z                             auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:30.5295973Z                             out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:32:30.5296114Z                             out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:32:30.5296182Z                         }
2022-11-23T01:32:30.5296255Z                     }
2022-11-23T01:32:30.5296349Z                 }
2022-11-23T01:32:30.5296422Z             }
2022-11-23T01:32:30.5296490Z         }
2022-11-23T01:32:30.5296573Z         #pragma omp for 
2022-11-23T01:32:30.5296665Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5296726Z         {
2022-11-23T01:32:30.5296811Z             #pragma GCC ivdep
2022-11-23T01:32:30.5296903Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:30.5296971Z             {
2022-11-23T01:32:30.5297059Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5297155Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:32:30.5297217Z                 {
2022-11-23T01:32:30.5297289Z                     {
2022-11-23T01:32:30.5297361Z                         {
2022-11-23T01:32:30.5297478Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5297602Z                             auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:30.5297706Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5297825Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5297938Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5298051Z                             auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:32:30.5298155Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5298267Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5298392Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:30.5298506Z                             out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8;
2022-11-23T01:32:30.5298579Z                         }
2022-11-23T01:32:30.5298651Z                     }
2022-11-23T01:32:30.5298716Z                 }
2022-11-23T01:32:30.5298965Z             }
2022-11-23T01:32:30.5299034Z         }
2022-11-23T01:32:30.5299119Z         #pragma omp for 
2022-11-23T01:32:30.5299208Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5299281Z         {
2022-11-23T01:32:30.5299366Z             #pragma GCC ivdep
2022-11-23T01:32:30.5299450Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:30.5299521Z             {
2022-11-23T01:32:30.5299609Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5299704Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:32:30.5299775Z                 {
2022-11-23T01:32:30.5299846Z                     {
2022-11-23T01:32:30.5299912Z                         {
2022-11-23T01:32:30.5300026Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5300149Z                             auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:30.5300253Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5300370Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5300483Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5300608Z                             auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:32:30.5300712Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5300817Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5300942Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:30.5301053Z                             out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8;
2022-11-23T01:32:30.5301126Z                         }
2022-11-23T01:32:30.5301197Z                     }
2022-11-23T01:32:30.5301267Z                 }
2022-11-23T01:32:30.5301334Z             }
2022-11-23T01:32:30.5301394Z         }
2022-11-23T01:32:30.5301477Z         #pragma omp for 
2022-11-23T01:32:30.5301564Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5301676Z         {
2022-11-23T01:32:30.5301766Z             #pragma GCC ivdep
2022-11-23T01:32:30.5301857Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:30.5301925Z             {
2022-11-23T01:32:30.5302034Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5302130Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:32:30.5302201Z                 {
2022-11-23T01:32:30.5302271Z                     {
2022-11-23T01:32:30.5302343Z                         {
2022-11-23T01:32:30.5302456Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5302582Z                             auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:30.5302678Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5302792Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5302905Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5303030Z                             auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:32:30.5303133Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5303243Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5303371Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:30.5303476Z                             out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8;
2022-11-23T01:32:30.5303549Z                         }
2022-11-23T01:32:30.5303621Z                     }
2022-11-23T01:32:30.5303691Z                 }
2022-11-23T01:32:30.5303759Z             }
2022-11-23T01:32:30.5303826Z         }
2022-11-23T01:32:30.5303892Z     }
2022-11-23T01:32:30.5303950Z }
2022-11-23T01:32:30.5304046Z ''')
2022-11-23T01:32:30.5304051Z 
2022-11-23T01:32:30.5304056Z 
2022-11-23T01:32:30.5304155Z async_compile.wait(globals())
2022-11-23T01:32:30.5304234Z del async_compile
2022-11-23T01:32:30.5304239Z 
2022-11-23T01:32:30.5304315Z def call(args):
2022-11-23T01:32:30.5304391Z     arg0_1, = args
2022-11-23T01:32:30.5304468Z     args.clear()
2022-11-23T01:32:30.5304686Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5304917Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5305139Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5305355Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5305573Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5305819Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.5305893Z     del arg0_1
2022-11-23T01:32:30.5306000Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:30.5306005Z 
2022-11-23T01:32:30.5306010Z 
2022-11-23T01:32:30.5306093Z if __name__ == "__main__":
2022-11-23T01:32:30.5306206Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5306338Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5306556Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5306670Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5306675Z 
2022-11-23T01:32:30.5306746Z ok (1.706s)
2022-11-23T01:32:30.5307073Z   test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:11,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5307388Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5307651Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5307910Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5308182Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5308536Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5308881Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5309201Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5309572Z [2022-11-23 01:28:11,208] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981> 
2022-11-23T01:32:30.5309676Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5309798Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:30.5309901Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5309997Z                6 BUILD_LIST               0
2022-11-23T01:32:30.5310096Z                8 LOAD_CONST               1 ((74, 76, 78))
2022-11-23T01:32:30.5310192Z               10 LIST_EXTEND              1
2022-11-23T01:32:30.5310358Z               12 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5310468Z               14 CALL_METHOD              3
2022-11-23T01:32:30.5310474Z 
2022-11-23T01:32:30.5310583Z 2984          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5310704Z               18 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:30.5310801Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5310898Z               22 BUILD_LIST               0
2022-11-23T01:32:30.5310996Z               24 LOAD_CONST               2 ((70, 75, 80))
2022-11-23T01:32:30.5311090Z               26 LIST_EXTEND              1
2022-11-23T01:32:30.5311191Z               28 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5311286Z               30 CALL_METHOD              3
2022-11-23T01:32:30.5311291Z 
2022-11-23T01:32:30.5311391Z 2985          32 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5311510Z               34 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:30.5311608Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5311694Z               38 BUILD_LIST               0
2022-11-23T01:32:30.5311801Z               40 LOAD_CONST               3 ((45, 74, 103))
2022-11-23T01:32:30.5311894Z               42 LIST_EXTEND              1
2022-11-23T01:32:30.5311992Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5312087Z               46 CALL_METHOD              3
2022-11-23T01:32:30.5312092Z 
2022-11-23T01:32:30.5312189Z 2986          48 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5312311Z               50 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:30.5312411Z               52 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5312496Z               54 BUILD_LIST               0
2022-11-23T01:32:30.5312600Z               56 LOAD_CONST               4 ((36, 39, 40))
2022-11-23T01:32:30.5312694Z               58 LIST_EXTEND              1
2022-11-23T01:32:30.5312791Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5312884Z               62 CALL_METHOD              3
2022-11-23T01:32:30.5312889Z 
2022-11-23T01:32:30.5312986Z 2987          64 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.5313104Z               66 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:30.5313193Z               68 LOAD_FAST                0 (a)
2022-11-23T01:32:30.5313328Z               70 LOAD_CONST               0 (None)
2022-11-23T01:32:30.5313422Z               72 BUILD_LIST               0
2022-11-23T01:32:30.5313532Z               74 LOAD_CONST               5 ((2.0, 2.0, 2.0))
2022-11-23T01:32:30.5313648Z               76 LIST_EXTEND              1
2022-11-23T01:32:30.5313742Z               78 CALL_METHOD              3
2022-11-23T01:32:30.5313747Z 
2022-11-23T01:32:30.5313840Z 2982          80 BUILD_TUPLE              5
2022-11-23T01:32:30.5313923Z               82 RETURN_VALUE
2022-11-23T01:32:30.5313982Z  
2022-11-23T01:32:30.5313987Z 
2022-11-23T01:32:30.5314308Z [2022-11-23 01:28:11,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983
2022-11-23T01:32:30.5314531Z [2022-11-23 01:28:11,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.5314872Z [2022-11-23 01:28:11,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5315150Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:30.5315456Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:30.5315791Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5316156Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5316483Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5316855Z [2022-11-23 01:28:11,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5317168Z [2022-11-23 01:28:11,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984
2022-11-23T01:32:30.5317410Z [2022-11-23 01:28:11,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.5317759Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5318060Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:30.5318385Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:30.5318745Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5319138Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5319498Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5326649Z [2022-11-23 01:28:11,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5327062Z [2022-11-23 01:28:11,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985
2022-11-23T01:32:30.5327341Z [2022-11-23 01:28:11,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5327747Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5328074Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:30.5328421Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:30.5328813Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5329230Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5329615Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5330038Z [2022-11-23 01:28:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5330353Z [2022-11-23 01:28:11,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986
2022-11-23T01:32:30.5330659Z [2022-11-23 01:28:11,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5331079Z [2022-11-23 01:28:11,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5331439Z [2022-11-23 01:28:11,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:30.5331822Z [2022-11-23 01:28:11,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:30.5332245Z [2022-11-23 01:28:11,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5332699Z [2022-11-23 01:28:11,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5333116Z [2022-11-23 01:28:11,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5333573Z [2022-11-23 01:28:11,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5333886Z [2022-11-23 01:28:11,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987
2022-11-23T01:32:30.5334246Z [2022-11-23 01:28:11,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5334697Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.5335075Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:30.5335495Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:30.5335954Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.5336451Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:30.5336982Z [2022-11-23 01:28:11,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.5337471Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:30.5337794Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982
2022-11-23T01:32:30.5338152Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5338406Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5339075Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981>
2022-11-23T01:32:30.5339336Z [2022-11-23 01:28:11,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5339584Z [2022-11-23 01:28:11,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5339845Z [2022-11-23 01:28:11,245] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5340096Z [2022-11-23 01:28:11,249] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5340293Z [2022-11-23 01:28:11,249] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5340439Z  __compiled_fn_280 <eval_with_key>.1724 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5340545Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5340753Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T01:32:30.5340971Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T01:32:30.5341139Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T01:32:30.5341377Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T01:32:30.5341587Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T01:32:30.5341932Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T01:32:30.5341942Z 
2022-11-23T01:32:30.5342286Z [2022-11-23 01:28:11,249] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5342390Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5342489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5342584Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5342685Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5342778Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5342878Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5342957Z              12 RETURN_VALUE
2022-11-23T01:32:30.5342962Z 
2022-11-23T01:32:30.5343031Z  
2022-11-23T01:32:30.5343356Z [2022-11-23 01:28:11,249] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5343479Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_280)
2022-11-23T01:32:30.5343578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5343675Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5343759Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5343846Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5343962Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5344075Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5344176Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5344259Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5344375Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5344472Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5344554Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5344658Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5344756Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5344837Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.5344946Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5345039Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.5345122Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.5345228Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5345315Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.5345397Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5345493Z              42 BUILD_TUPLE              5
2022-11-23T01:32:30.5345576Z              44 RETURN_VALUE
2022-11-23T01:32:30.5345584Z 
2022-11-23T01:32:30.5345651Z  
2022-11-23T01:32:30.5345841Z [2022-11-23 01:28:11,250] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5345922Z  - 
2022-11-23T01:32:30.5346040Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5346115Z             {
2022-11-23T01:32:30.5346261Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5346452Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5346577Z                 'obj_weakref': None
2022-11-23T01:32:30.5346805Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5346877Z             }
2022-11-23T01:32:30.5346939Z             
2022-11-23T01:32:30.5347019Z  - 
2022-11-23T01:32:30.5347147Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5347217Z             {
2022-11-23T01:32:30.5347364Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5347476Z                 'code': None,
2022-11-23T01:32:30.5347728Z                 'obj_weakref': <weakref at 0x7f20230979c0; to 'Tensor' at 0x7f21276a49a0>
2022-11-23T01:32:30.5347974Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5348070Z             }
2022-11-23T01:32:30.5348143Z             
2022-11-23T01:32:30.5348222Z  - 
2022-11-23T01:32:30.5348363Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5348433Z             {
2022-11-23T01:32:30.5348576Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5348744Z                 'code': ['___check_obj_id(model, 139775431993392)'],
2022-11-23T01:32:30.5348871Z                 'obj_weakref': None
2022-11-23T01:32:30.5349103Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5349173Z             }
2022-11-23T01:32:30.5349242Z             
2022-11-23T01:32:30.5349321Z  - 
2022-11-23T01:32:30.5349448Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5349512Z             {
2022-11-23T01:32:30.5349655Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5349882Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5350012Z                 'obj_weakref': None
2022-11-23T01:32:30.5350237Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5350396Z             }
2022-11-23T01:32:30.5350472Z             
2022-11-23T01:32:30.5350542Z  - 
2022-11-23T01:32:30.5350680Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.5350750Z             {
2022-11-23T01:32:30.5350875Z                 'guard_types': None,
2022-11-23T01:32:30.5350987Z                 'code': None,
2022-11-23T01:32:30.5351114Z                 'obj_weakref': None
2022-11-23T01:32:30.5351240Z                 'guarded_class': None
2022-11-23T01:32:30.5351302Z             }
2022-11-23T01:32:30.5351374Z             
2022-11-23T01:32:30.5351639Z [2022-11-23 01:28:11,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272
2022-11-23T01:32:30.5351644Z 
2022-11-23T01:32:30.5351750Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5351827Z import torch
2022-11-23T01:32:30.5351902Z import random
2022-11-23T01:32:30.5352028Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5352151Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5352157Z 
2022-11-23T01:32:30.5352243Z aten = torch.ops.aten
2022-11-23T01:32:30.5352386Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5352485Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5352490Z 
2022-11-23T01:32:30.5352565Z import triton
2022-11-23T01:32:30.5352661Z import triton.language as tl
2022-11-23T01:32:30.5352792Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5352933Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5352946Z 
2022-11-23T01:32:30.5352951Z 
2022-11-23T01:32:30.5353082Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5353295Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5353428Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5353535Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5353640Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.5353744Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.5353846Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.5353950Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:30.5354011Z {
2022-11-23T01:32:30.5354116Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5354184Z     {
2022-11-23T01:32:30.5354270Z         #pragma omp for 
2022-11-23T01:32:30.5354361Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5354467Z         {
2022-11-23T01:32:30.5354550Z             #pragma GCC ivdep
2022-11-23T01:32:30.5354646Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:30.5354716Z             {
2022-11-23T01:32:30.5354830Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5354929Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:32:30.5355001Z                 {
2022-11-23T01:32:30.5355094Z                     #pragma GCC ivdep
2022-11-23T01:32:30.5355185Z                     for(long i3=0; i3<78; i3+=1)
2022-11-23T01:32:30.5355260Z                     {
2022-11-23T01:32:30.5355336Z                         {
2022-11-23T01:32:30.5355412Z                             {
2022-11-23T01:32:30.5355537Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5355661Z                                 auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:30.5355769Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5355885Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5356006Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5356119Z                                 auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:30.5356238Z                                 auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:32:30.5356351Z                                 auto tmp7 = static_cast<float>(i3);
2022-11-23T01:32:30.5356460Z                                 auto tmp8 = tmp7 * tmp1;
2022-11-23T01:32:30.5356580Z                                 auto tmp9 = static_cast<int>(tmp8);
2022-11-23T01:32:30.5356722Z                                 auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:30.5356839Z                                 out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:32:30.5356963Z                                 out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:32:30.5357043Z                             }
2022-11-23T01:32:30.5357119Z                         }
2022-11-23T01:32:30.5357192Z                     }
2022-11-23T01:32:30.5357263Z                 }
2022-11-23T01:32:30.5357331Z             }
2022-11-23T01:32:30.5357396Z         }
2022-11-23T01:32:30.5357483Z         #pragma omp for 
2022-11-23T01:32:30.5357577Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5357646Z         {
2022-11-23T01:32:30.5357732Z             #pragma GCC ivdep
2022-11-23T01:32:30.5357827Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:30.5357897Z             {
2022-11-23T01:32:30.5357978Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5358076Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:32:30.5358147Z                 {
2022-11-23T01:32:30.5358238Z                     #pragma GCC ivdep
2022-11-23T01:32:30.5358338Z                     for(long i3=0; i3<80; i3+=1)
2022-11-23T01:32:30.5358410Z                     {
2022-11-23T01:32:30.5358477Z                         {
2022-11-23T01:32:30.5358558Z                             {
2022-11-23T01:32:30.5358677Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5358807Z                                 auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:30.5358918Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5359037Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5359153Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5359279Z                                 auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:32:30.5359379Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5359497Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5359612Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:30.5359734Z                                 auto tmp9 = static_cast<float>(0.4875);
2022-11-23T01:32:30.5359882Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:30.5360010Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:30.5360175Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:30.5360297Z                                 out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12;
2022-11-23T01:32:30.5360366Z                             }
2022-11-23T01:32:30.5360443Z                         }
2022-11-23T01:32:30.5360516Z                     }
2022-11-23T01:32:30.5360588Z                 }
2022-11-23T01:32:30.5360656Z             }
2022-11-23T01:32:30.5360724Z         }
2022-11-23T01:32:30.5360808Z         #pragma omp for 
2022-11-23T01:32:30.5360890Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5360959Z         {
2022-11-23T01:32:30.5361046Z             #pragma GCC ivdep
2022-11-23T01:32:30.5361138Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:30.5361211Z             {
2022-11-23T01:32:30.5361300Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5361390Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:32:30.5361463Z                 {
2022-11-23T01:32:30.5361561Z                     #pragma GCC ivdep
2022-11-23T01:32:30.5361660Z                     for(long i3=0; i3<103; i3+=1)
2022-11-23T01:32:30.5361733Z                     {
2022-11-23T01:32:30.5361806Z                         {
2022-11-23T01:32:30.5361881Z                             {
2022-11-23T01:32:30.5361994Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5362120Z                                 auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:30.5362230Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5362349Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5362466Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5362594Z                                 auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:32:30.5362699Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5362820Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5362927Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:30.5363053Z                                 auto tmp9 = static_cast<float>(0.3786407766990291);
2022-11-23T01:32:30.5363161Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:30.5363285Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:30.5363428Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:30.5363551Z                                 out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12;
2022-11-23T01:32:30.5363630Z                             }
2022-11-23T01:32:30.5363708Z                         }
2022-11-23T01:32:30.5363773Z                     }
2022-11-23T01:32:30.5363846Z                 }
2022-11-23T01:32:30.5363916Z             }
2022-11-23T01:32:30.5363985Z         }
2022-11-23T01:32:30.5364073Z         #pragma omp for 
2022-11-23T01:32:30.5364161Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5364222Z         {
2022-11-23T01:32:30.5364310Z             #pragma GCC ivdep
2022-11-23T01:32:30.5364404Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:30.5364474Z             {
2022-11-23T01:32:30.5364563Z                 #pragma GCC ivdep
2022-11-23T01:32:30.5364663Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:32:30.5364734Z                 {
2022-11-23T01:32:30.5364817Z                     #pragma GCC ivdep
2022-11-23T01:32:30.5364917Z                     for(long i3=0; i3<40; i3+=1)
2022-11-23T01:32:30.5364991Z                     {
2022-11-23T01:32:30.5365064Z                         {
2022-11-23T01:32:30.5365169Z                             {
2022-11-23T01:32:30.5365293Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:30.5365421Z                                 auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:30.5365546Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5365664Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:30.5365779Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:30.5365904Z                                 auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:32:30.5366009Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:30.5366124Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:30.5366241Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:30.5366363Z                                 auto tmp9 = static_cast<float>(0.975);
2022-11-23T01:32:30.5366467Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:30.5366593Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:30.5366733Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:30.5366862Z                                 out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12;
2022-11-23T01:32:30.5366940Z                             }
2022-11-23T01:32:30.5367015Z                         }
2022-11-23T01:32:30.5367087Z                     }
2022-11-23T01:32:30.5367151Z                 }
2022-11-23T01:32:30.5367222Z             }
2022-11-23T01:32:30.5367290Z         }
2022-11-23T01:32:30.5367359Z     }
2022-11-23T01:32:30.5367427Z }
2022-11-23T01:32:30.5367517Z ''')
2022-11-23T01:32:30.5367523Z 
2022-11-23T01:32:30.5367528Z 
2022-11-23T01:32:30.5367625Z async_compile.wait(globals())
2022-11-23T01:32:30.5367697Z del async_compile
2022-11-23T01:32:30.5367714Z 
2022-11-23T01:32:30.5367786Z def call(args):
2022-11-23T01:32:30.5367862Z     arg0_1, = args
2022-11-23T01:32:30.5367941Z     args.clear()
2022-11-23T01:32:30.5368188Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5368437Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5368677Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5368918Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5369145Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5369393Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.5369472Z     del arg0_1
2022-11-23T01:32:30.5369576Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:30.5369582Z 
2022-11-23T01:32:30.5369586Z 
2022-11-23T01:32:30.5369669Z if __name__ == "__main__":
2022-11-23T01:32:30.5369794Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5369925Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5370162Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5370277Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5370638Z [2022-11-23 01:28:12,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/st/csto6vhpqolzwr7xm6stnti63yrhdfxkpv4gaisem7nnpgkrsgic.py
2022-11-23T01:32:30.5370909Z [2022-11-23 01:28:12,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272
2022-11-23T01:32:30.5370915Z 
2022-11-23T01:32:30.5370991Z ok (1.855s)
2022-11-23T01:32:30.5371326Z   test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5371643Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5371889Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5372146Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5372424Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5372749Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5373102Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5373420Z [2022-11-23 01:28:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5373801Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191> 
2022-11-23T01:32:30.5373903Z  2192           0 BUILD_LIST               0
2022-11-23T01:32:30.5373909Z 
2022-11-23T01:32:30.5374012Z 2193           2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.5374119Z                4 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:30.5374219Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5374363Z                8 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.5374460Z               10 CALL_METHOD              2
2022-11-23T01:32:30.5374468Z 
2022-11-23T01:32:30.5374564Z 2192          12 LIST_EXTEND              1
2022-11-23T01:32:30.5374569Z 
2022-11-23T01:32:30.5374663Z 2194          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.5374775Z               16 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:30.5374875Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5374971Z               20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5375071Z               22 LOAD_CONST               3 (3)
2022-11-23T01:32:30.5375164Z               24 BUILD_LIST               2
2022-11-23T01:32:30.5375257Z               26 CALL_METHOD              2
2022-11-23T01:32:30.5375262Z 
2022-11-23T01:32:30.5375348Z 2192          28 LIST_EXTEND              1
2022-11-23T01:32:30.5375435Z               30 LIST_TO_TUPLE
2022-11-23T01:32:30.5375518Z               32 RETURN_VALUE
2022-11-23T01:32:30.5375585Z  
2022-11-23T01:32:30.5375589Z 
2022-11-23T01:32:30.5375908Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:30.5376125Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:30.5376448Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193
2022-11-23T01:32:30.5376697Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:30.5377097Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.5377450Z [2022-11-23 01:28:13,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.5377856Z [2022-11-23 01:28:13,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.5378289Z [2022-11-23 01:28:13,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5378603Z [2022-11-23 01:28:13,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:30.5379205Z [2022-11-23 01:28:13,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:30.5379622Z [2022-11-23 01:28:13,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194
2022-11-23T01:32:30.5379877Z [2022-11-23 01:28:13,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:30.5380280Z [2022-11-23 01:28:13,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.5380636Z [2022-11-23 01:28:13,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.5381011Z [2022-11-23 01:28:13,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.5381425Z [2022-11-23 01:28:13,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5381871Z [2022-11-23 01:28:13,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.5382270Z [2022-11-23 01:28:13,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.5382578Z [2022-11-23 01:28:13,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:30.5382833Z [2022-11-23 01:28:13,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:30.5383079Z [2022-11-23 01:28:13,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()]
2022-11-23T01:32:30.5383328Z [2022-11-23 01:28:13,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5383708Z [2022-11-23 01:28:13,063] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191>
2022-11-23T01:32:30.5383957Z [2022-11-23 01:28:13,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5384199Z [2022-11-23 01:28:13,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5384460Z [2022-11-23 01:28:13,064] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5384714Z [2022-11-23 01:28:13,067] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5384915Z [2022-11-23 01:28:13,068] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5385059Z  __compiled_fn_281 <eval_with_key>.1730 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5385245Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5385495Z call_function, var_mean, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:30.5385722Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T01:32:30.5385926Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T01:32:30.5386176Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, [1, 3]), {}
2022-11-23T01:32:30.5386378Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T01:32:30.5386580Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T01:32:30.5386724Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:30.5386730Z 
2022-11-23T01:32:30.5387057Z [2022-11-23 01:28:13,068] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5387162Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5387263Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5387361Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5387460Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5387551Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5387649Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5387723Z              12 RETURN_VALUE
2022-11-23T01:32:30.5387735Z 
2022-11-23T01:32:30.5387794Z  
2022-11-23T01:32:30.5388120Z [2022-11-23 01:28:13,068] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5388238Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_281)
2022-11-23T01:32:30.5388341Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5388445Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5388529Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5388623Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5388728Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5388842Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5388939Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5389019Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.5389125Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5389220Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5389300Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.5389401Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5389495Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5389576Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.5389684Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5389779Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.5389860Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.5389953Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.5390030Z              38 RETURN_VALUE
2022-11-23T01:32:30.5390043Z 
2022-11-23T01:32:30.5390101Z  
2022-11-23T01:32:30.5390359Z [2022-11-23 01:28:13,069] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5390443Z  - 
2022-11-23T01:32:30.5390573Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5390643Z             {
2022-11-23T01:32:30.5390790Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5390984Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5391103Z                 'obj_weakref': None
2022-11-23T01:32:30.5391331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5391404Z             }
2022-11-23T01:32:30.5391473Z             
2022-11-23T01:32:30.5391584Z  - 
2022-11-23T01:32:30.5391717Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5391778Z             {
2022-11-23T01:32:30.5391927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5392063Z                 'code': None,
2022-11-23T01:32:30.5392278Z                 'obj_weakref': <weakref at 0x7f2115f22390; to 'Tensor' at 0x7f202333bab0>
2022-11-23T01:32:30.5392535Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5392604Z             }
2022-11-23T01:32:30.5392674Z             
2022-11-23T01:32:30.5392750Z  - 
2022-11-23T01:32:30.5392879Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5392946Z             {
2022-11-23T01:32:30.5393087Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5393264Z                 'code': ['___check_obj_id(model, 139780077665824)'],
2022-11-23T01:32:30.5393390Z                 'obj_weakref': None
2022-11-23T01:32:30.5393627Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5393699Z             }
2022-11-23T01:32:30.5393760Z             
2022-11-23T01:32:30.5393838Z  - 
2022-11-23T01:32:30.5393966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5394034Z             {
2022-11-23T01:32:30.5394176Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5394400Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5394525Z                 'obj_weakref': None
2022-11-23T01:32:30.5394744Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5394814Z             }
2022-11-23T01:32:30.5394888Z             
2022-11-23T01:32:30.5394964Z  - 
2022-11-23T01:32:30.5395106Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.5395174Z             {
2022-11-23T01:32:30.5395291Z                 'guard_types': None,
2022-11-23T01:32:30.5395405Z                 'code': None,
2022-11-23T01:32:30.5395529Z                 'obj_weakref': None
2022-11-23T01:32:30.5395655Z                 'guarded_class': None
2022-11-23T01:32:30.5395731Z             }
2022-11-23T01:32:30.5395803Z             
2022-11-23T01:32:30.5396070Z [2022-11-23 01:28:13,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273
2022-11-23T01:32:30.5396076Z 
2022-11-23T01:32:30.5396179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5396245Z import torch
2022-11-23T01:32:30.5396321Z import random
2022-11-23T01:32:30.5396444Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5396573Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5396578Z 
2022-11-23T01:32:30.5396662Z aten = torch.ops.aten
2022-11-23T01:32:30.5396804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5396903Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5396909Z 
2022-11-23T01:32:30.5396980Z import triton
2022-11-23T01:32:30.5397076Z import triton.language as tl
2022-11-23T01:32:30.5397208Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5397352Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5397361Z 
2022-11-23T01:32:30.5397365Z 
2022-11-23T01:32:30.5397504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5397719Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5397843Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:30.5397952Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:30.5398052Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:30.5398160Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:32:30.5398272Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5398411Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5398518Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:30.5398584Z {
2022-11-23T01:32:30.5398681Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:30.5398785Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:30.5398875Z     auto out_ptr4 = in_out_ptr2;
2022-11-23T01:32:30.5398963Z     auto out_ptr5 = in_out_ptr3;
2022-11-23T01:32:30.5399067Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5399133Z     {
2022-11-23T01:32:30.5399215Z         #pragma omp for 
2022-11-23T01:32:30.5399304Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5399364Z         {
2022-11-23T01:32:30.5399433Z             {
2022-11-23T01:32:30.5399654Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.5399737Z                 float tmp1 = 0;
2022-11-23T01:32:30.5399867Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.5399968Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.5400037Z                 {
2022-11-23T01:32:30.5400189Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.5400273Z                     tmp1_vec += tmp0;
2022-11-23T01:32:30.5400344Z                 }
2022-11-23T01:32:30.5400549Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.5400677Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.5400772Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.5400841Z                 {
2022-11-23T01:32:30.5400947Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.5401023Z                     tmp1 += tmp0;
2022-11-23T01:32:30.5401092Z                 }
2022-11-23T01:32:30.5401180Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.5401248Z             }
2022-11-23T01:32:30.5401319Z         }
2022-11-23T01:32:30.5401403Z         #pragma omp for 
2022-11-23T01:32:30.5401492Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:30.5401553Z         {
2022-11-23T01:32:30.5401622Z             {
2022-11-23T01:32:30.5401822Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.5401912Z                 float tmp6 = 0;
2022-11-23T01:32:30.5402043Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.5402128Z                 float tmp7 = 0;
2022-11-23T01:32:30.5402255Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.5402350Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:30.5402412Z                 {
2022-11-23T01:32:30.5402565Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:32:30.5402704Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:30.5402857Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.5402955Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.5403104Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.5403202Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.5403282Z                     tmp6_vec += tmp5;
2022-11-23T01:32:30.5403369Z                     tmp7_vec += tmp0;
2022-11-23T01:32:30.5403439Z                 }
2022-11-23T01:32:30.5403650Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.5403857Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.5404006Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:30.5404142Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:32:30.5404214Z                 {
2022-11-23T01:32:30.5404322Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:30.5404413Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:30.5404549Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:30.5404645Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.5404787Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.5404881Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.5404965Z                     tmp6 += tmp5;
2022-11-23T01:32:30.5405047Z                     tmp7 += tmp0;
2022-11-23T01:32:30.5405109Z                 }
2022-11-23T01:32:30.5405199Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:30.5405287Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:32:30.5405355Z             }
2022-11-23T01:32:30.5405423Z         }
2022-11-23T01:32:30.5405508Z         #pragma omp for 
2022-11-23T01:32:30.5405591Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5405661Z         {
2022-11-23T01:32:30.5405727Z             {
2022-11-23T01:32:30.5405926Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.5406015Z                 float tmp1 = 0;
2022-11-23T01:32:30.5406145Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:30.5406240Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.5406311Z                 {
2022-11-23T01:32:30.5406400Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T01:32:30.5406472Z                     {
2022-11-23T01:32:30.5406632Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T01:32:30.5406724Z                         tmp1_vec += tmp0;
2022-11-23T01:32:30.5406795Z                     }
2022-11-23T01:32:30.5407005Z                     tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:30.5407134Z                     #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:32:30.5407231Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T01:32:30.5407298Z                     {
2022-11-23T01:32:30.5407415Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:32:30.5407501Z                         tmp1 += tmp0;
2022-11-23T01:32:30.5407572Z                     }
2022-11-23T01:32:30.5407642Z                 }
2022-11-23T01:32:30.5407733Z                 out_ptr3[i0] = tmp1;
2022-11-23T01:32:30.5407802Z             }
2022-11-23T01:32:30.5407862Z         }
2022-11-23T01:32:30.5407945Z         #pragma omp for 
2022-11-23T01:32:30.5408036Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5408104Z         {
2022-11-23T01:32:30.5408172Z             {
2022-11-23T01:32:30.5408370Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:30.5408456Z                 float tmp6 = 0;
2022-11-23T01:32:30.5408577Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:30.5408666Z                 float tmp7 = 0;
2022-11-23T01:32:30.5408796Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:30.5408891Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:30.5408960Z                 {
2022-11-23T01:32:30.5409058Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T01:32:30.5409130Z                     {
2022-11-23T01:32:30.5409280Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T01:32:30.5409419Z                         auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T01:32:30.5409568Z                         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(16));
2022-11-23T01:32:30.5409698Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.5409847Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.5409948Z                         auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:30.5410041Z                         tmp6_vec += tmp5;
2022-11-23T01:32:30.5410159Z                         tmp7_vec += tmp0;
2022-11-23T01:32:30.5410223Z                     }
2022-11-23T01:32:30.5410431Z                     tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:30.5410625Z                     tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:30.5410776Z                     #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:30.5410873Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T01:32:30.5410944Z                     {
2022-11-23T01:32:30.5411063Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:32:30.5411167Z                         auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:30.5411283Z                         auto tmp2 = static_cast<float>(16);
2022-11-23T01:32:30.5411379Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:30.5411521Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:30.5411621Z                         auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:30.5411707Z                         tmp6 += tmp5;
2022-11-23T01:32:30.5411795Z                         tmp7 += tmp0;
2022-11-23T01:32:30.5411867Z                     }
2022-11-23T01:32:30.5411938Z                 }
2022-11-23T01:32:30.5412018Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:32:30.5412106Z                 out_ptr5[i0] = tmp7;
2022-11-23T01:32:30.5412176Z             }
2022-11-23T01:32:30.5412245Z         }
2022-11-23T01:32:30.5412329Z         #pragma omp for 
2022-11-23T01:32:30.5412417Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.5412480Z         {
2022-11-23T01:32:30.5412627Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:32:30.5412770Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:32:30.5412862Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5412966Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:30.5413037Z         }
2022-11-23T01:32:30.5413138Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5413225Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.5413286Z         {
2022-11-23T01:32:30.5413377Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:30.5413484Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:30.5413573Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5413662Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5413731Z         }
2022-11-23T01:32:30.5413806Z         #pragma omp for 
2022-11-23T01:32:30.5413893Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.5413965Z         {
2022-11-23T01:32:30.5414105Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T01:32:30.5414245Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:30.5414337Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5414442Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T01:32:30.5414508Z         }
2022-11-23T01:32:30.5414602Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5414688Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.5414760Z         {
2022-11-23T01:32:30.5414851Z             auto tmp0 = out_ptr2[i0];
2022-11-23T01:32:30.5414955Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:30.5415046Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5415135Z             in_out_ptr1[i0] = tmp2;
2022-11-23T01:32:30.5415195Z         }
2022-11-23T01:32:30.5415280Z         #pragma omp single
2022-11-23T01:32:30.5415347Z         {
2022-11-23T01:32:30.5415461Z             #pragma GCC ivdep
2022-11-23T01:32:30.5415552Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5415622Z             {
2022-11-23T01:32:30.5415685Z                 {
2022-11-23T01:32:30.5415780Z                     {
2022-11-23T01:32:30.5415884Z                         auto tmp0 = out_ptr4[i0];
2022-11-23T01:32:30.5415999Z                         auto tmp1 = static_cast<float>(15);
2022-11-23T01:32:30.5416100Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5416201Z                         in_out_ptr2[i0] = tmp2;
2022-11-23T01:32:30.5416277Z                     }
2022-11-23T01:32:30.5416339Z                 }
2022-11-23T01:32:30.5416409Z             }
2022-11-23T01:32:30.5416477Z         }
2022-11-23T01:32:30.5416560Z         #pragma omp single
2022-11-23T01:32:30.5416629Z         {
2022-11-23T01:32:30.5416713Z             #pragma GCC ivdep
2022-11-23T01:32:30.5416803Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5416864Z             {
2022-11-23T01:32:30.5416936Z                 {
2022-11-23T01:32:30.5417009Z                     {
2022-11-23T01:32:30.5417109Z                         auto tmp0 = out_ptr5[i0];
2022-11-23T01:32:30.5417225Z                         auto tmp1 = static_cast<float>(16);
2022-11-23T01:32:30.5417329Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:30.5417429Z                         in_out_ptr3[i0] = tmp2;
2022-11-23T01:32:30.5417494Z                     }
2022-11-23T01:32:30.5417563Z                 }
2022-11-23T01:32:30.5417634Z             }
2022-11-23T01:32:30.5417702Z         }
2022-11-23T01:32:30.5417769Z     }
2022-11-23T01:32:30.5417834Z }
2022-11-23T01:32:30.5417914Z ''')
2022-11-23T01:32:30.5417920Z 
2022-11-23T01:32:30.5417934Z 
2022-11-23T01:32:30.5418022Z async_compile.wait(globals())
2022-11-23T01:32:30.5418099Z del async_compile
2022-11-23T01:32:30.5418104Z 
2022-11-23T01:32:30.5418179Z def call(args):
2022-11-23T01:32:30.5418254Z     arg0_1, = args
2022-11-23T01:32:30.5418331Z     args.clear()
2022-11-23T01:32:30.5418550Z     buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5418757Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5419145Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5419354Z     buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5419550Z     buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5419744Z     buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5419837Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:30.5419929Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:32:30.5420017Z     buf8 = buf4; del buf4  # reuse
2022-11-23T01:32:30.5420097Z     buf9 = buf5; del buf5  # reuse
2022-11-23T01:32:30.5420365Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:30.5420442Z     del arg0_1
2022-11-23T01:32:30.5420535Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T01:32:30.5420544Z 
2022-11-23T01:32:30.5420549Z 
2022-11-23T01:32:30.5420632Z if __name__ == "__main__":
2022-11-23T01:32:30.5420754Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5420884Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5421099Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5421216Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.5421569Z [2022-11-23 01:28:14,742] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ka/cka552cfmr33n3vkq6l6rldqrpkgombtltjcpfgop6wz7jdmiukl.py
2022-11-23T01:32:30.5421887Z [2022-11-23 01:28:14,742] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273
2022-11-23T01:32:30.5421894Z 
2022-11-23T01:32:30.5421969Z ok (1.702s)
2022-11-23T01:32:30.5422278Z   test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:28:14,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5422626Z [2022-11-23 01:28:14,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5422848Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5423110Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5423393Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5423720Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5424070Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5424391Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5424770Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371> 
2022-11-23T01:32:30.5424873Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.5424980Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T01:32:30.5425077Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5425176Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.5425270Z                8 CALL_METHOD              2
2022-11-23T01:32:30.5425354Z               10 RETURN_VALUE
2022-11-23T01:32:30.5425413Z  
2022-11-23T01:32:30.5425418Z 
2022-11-23T01:32:30.5425737Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372
2022-11-23T01:32:30.5425963Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.5426340Z [2022-11-23 01:28:14,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.5426671Z [2022-11-23 01:28:14,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.5427025Z [2022-11-23 01:28:14,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.5427417Z [2022-11-23 01:28:14,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5427671Z [2022-11-23 01:28:14,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5428047Z [2022-11-23 01:28:14,760] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371>
2022-11-23T01:32:30.5428298Z [2022-11-23 01:28:14,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5428535Z [2022-11-23 01:28:14,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5428784Z [2022-11-23 01:28:14,761] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5429061Z [2022-11-23 01:28:14,764] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5429257Z [2022-11-23 01:28:14,764] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5429420Z  __compiled_fn_282 <eval_with_key>.1736 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5429516Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5429763Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7f209c394c60>, (ex_0_, 3), {}
2022-11-23T01:32:30.5429875Z output, output, output, ((clamp_min,),), {}
2022-11-23T01:32:30.5429880Z 
2022-11-23T01:32:30.5430204Z [2022-11-23 01:28:14,764] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5430384Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5430490Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5430607Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5430710Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5430802Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5430903Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5430985Z              12 RETURN_VALUE
2022-11-23T01:32:30.5430990Z 
2022-11-23T01:32:30.5431055Z  
2022-11-23T01:32:30.5431374Z [2022-11-23 01:28:14,764] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5431492Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_282)
2022-11-23T01:32:30.5431589Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5431685Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5431767Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5431862Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.5431959Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.5432035Z              12 RETURN_VALUE
2022-11-23T01:32:30.5432047Z 
2022-11-23T01:32:30.5432104Z  
2022-11-23T01:32:30.5432293Z [2022-11-23 01:28:14,765] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5432373Z  - 
2022-11-23T01:32:30.5432497Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5432567Z             {
2022-11-23T01:32:30.5432713Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5432894Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.5433016Z                 'obj_weakref': None
2022-11-23T01:32:30.5433242Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5433311Z             }
2022-11-23T01:32:30.5433380Z             
2022-11-23T01:32:30.5433455Z  - 
2022-11-23T01:32:30.5433583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5433644Z             {
2022-11-23T01:32:30.5433793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5433903Z                 'code': None,
2022-11-23T01:32:30.5434113Z                 'obj_weakref': <weakref at 0x7f2022f5c810; to 'Tensor' at 0x7f202328a9d0>
2022-11-23T01:32:30.5434365Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5434434Z             }
2022-11-23T01:32:30.5434501Z             
2022-11-23T01:32:30.5434578Z  - 
2022-11-23T01:32:30.5434704Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5434773Z             {
2022-11-23T01:32:30.5434911Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5435083Z                 'code': ['___check_obj_id(model, 139780077665824)'],
2022-11-23T01:32:30.5435206Z                 'obj_weakref': None
2022-11-23T01:32:30.5435433Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5435501Z             }
2022-11-23T01:32:30.5435563Z             
2022-11-23T01:32:30.5435680Z  - 
2022-11-23T01:32:30.5435808Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5435878Z             {
2022-11-23T01:32:30.5436018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5436265Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5436380Z                 'obj_weakref': None
2022-11-23T01:32:30.5436605Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5436674Z             }
2022-11-23T01:32:30.5436742Z             
2022-11-23T01:32:30.5436818Z  - 
2022-11-23T01:32:30.5436955Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.5437024Z             {
2022-11-23T01:32:30.5437140Z                 'guard_types': None,
2022-11-23T01:32:30.5437252Z                 'code': None,
2022-11-23T01:32:30.5437372Z                 'obj_weakref': None
2022-11-23T01:32:30.5437497Z                 'guarded_class': None
2022-11-23T01:32:30.5437570Z             }
2022-11-23T01:32:30.5437638Z             
2022-11-23T01:32:30.5437900Z [2022-11-23 01:28:14,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274
2022-11-23T01:32:30.5438258Z [2022-11-23 01:28:16,339] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kn/ckndduripymw6sg5z2ubrd7mt55jrdk37ksegnp25bddgjxrsniq.py
2022-11-23T01:32:30.5438526Z [2022-11-23 01:28:16,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274
2022-11-23T01:32:30.5438532Z 
2022-11-23T01:32:30.5438634Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5438709Z import torch
2022-11-23T01:32:30.5438783Z import random
2022-11-23T01:32:30.5438904Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5439031Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5439036Z 
2022-11-23T01:32:30.5439121Z aten = torch.ops.aten
2022-11-23T01:32:30.5439256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5439355Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5439360Z 
2022-11-23T01:32:30.5439435Z import triton
2022-11-23T01:32:30.5439528Z import triton.language as tl
2022-11-23T01:32:30.5439663Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5439808Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5439813Z 
2022-11-23T01:32:30.5439818Z 
2022-11-23T01:32:30.5439959Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5440173Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5440302Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5440401Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.5440503Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:30.5440570Z {
2022-11-23T01:32:30.5440675Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5440746Z     {
2022-11-23T01:32:30.5440830Z         #pragma omp for 
2022-11-23T01:32:30.5440912Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:30.5440982Z         {
2022-11-23T01:32:30.5441054Z             {
2022-11-23T01:32:30.5441124Z                 {
2022-11-23T01:32:30.5441224Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5441338Z                     auto tmp1 = static_cast<float>(3.0);
2022-11-23T01:32:30.5441453Z                     auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:30.5441555Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:32:30.5441657Z                     auto tmp4 = tmp0 >= tmp3;
2022-11-23T01:32:30.5441746Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5441837Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:30.5441907Z                 }
2022-11-23T01:32:30.5441974Z             }
2022-11-23T01:32:30.5442043Z         }
2022-11-23T01:32:30.5442102Z     }
2022-11-23T01:32:30.5442165Z }
2022-11-23T01:32:30.5442288Z ''')
2022-11-23T01:32:30.5442294Z 
2022-11-23T01:32:30.5442298Z 
2022-11-23T01:32:30.5442394Z async_compile.wait(globals())
2022-11-23T01:32:30.5442473Z del async_compile
2022-11-23T01:32:30.5442499Z 
2022-11-23T01:32:30.5442577Z def call(args):
2022-11-23T01:32:30.5442658Z     primals_1, = args
2022-11-23T01:32:30.5442728Z     args.clear()
2022-11-23T01:32:30.5442931Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5443123Z     buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.5443303Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:30.5443381Z     del primals_1
2022-11-23T01:32:30.5443464Z     return (buf0, buf1, )
2022-11-23T01:32:30.5443470Z 
2022-11-23T01:32:30.5443474Z 
2022-11-23T01:32:30.5443555Z if __name__ == "__main__":
2022-11-23T01:32:30.5443674Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5443800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5444004Z     primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5444123Z     print_performance(lambda: call([primals_1]))
2022-11-23T01:32:30.5444132Z 
2022-11-23T01:32:30.5444203Z ok (1.586s)
2022-11-23T01:32:30.5444521Z   test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5444840Z [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5445063Z [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5445318Z [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5445599Z [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5445911Z [2022-11-23 01:28:16,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5446257Z [2022-11-23 01:28:16,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5446575Z [2022-11-23 01:28:16,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5446941Z [2022-11-23 01:28:16,363] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702> 
2022-11-23T01:32:30.5447114Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T01:32:30.5447217Z               2 STORE_FAST               3 (v17)
2022-11-23T01:32:30.5447226Z 
2022-11-23T01:32:30.5447397Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T01:32:30.5447498Z               6 STORE_FAST               4 (v18)
2022-11-23T01:32:30.5447506Z 
2022-11-23T01:32:30.5447675Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T01:32:30.5447775Z              10 STORE_FAST               5 (v19)
2022-11-23T01:32:30.5447780Z 
2022-11-23T01:32:30.5447940Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T01:32:30.5448038Z              14 STORE_FAST               6 (v20)
2022-11-23T01:32:30.5448043Z 
2022-11-23T01:32:30.5448140Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T01:32:30.5448240Z              18 LOAD_FAST                1 (ct)
2022-11-23T01:32:30.5448327Z              20 BINARY_MULTIPLY
2022-11-23T01:32:30.5448422Z              22 STORE_FAST               7 (t15)
2022-11-23T01:32:30.5448427Z 
2022-11-23T01:32:30.5448566Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T01:32:30.5448663Z              26 LOAD_FAST                1 (ct)
2022-11-23T01:32:30.5448748Z              28 LOAD_FAST                4 (v18)
2022-11-23T01:32:30.5448843Z              30 LOAD_FAST                7 (t15)
2022-11-23T01:32:30.5448947Z              32 BINARY_ADD
2022-11-23T01:32:30.5449031Z              34 BINARY_MULTIPLY
2022-11-23T01:32:30.5449109Z              36 BINARY_ADD
2022-11-23T01:32:30.5449205Z              38 LOAD_FAST                6 (v20)
2022-11-23T01:32:30.5449300Z              40 LOAD_FAST                0 (sa)
2022-11-23T01:32:30.5449377Z              42 BINARY_MULTIPLY
2022-11-23T01:32:30.5449455Z              44 BINARY_ADD
2022-11-23T01:32:30.5449548Z              46 STORE_FAST               8 (t19)
2022-11-23T01:32:30.5449553Z 
2022-11-23T01:32:30.5449650Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T01:32:30.5449746Z              50 LOAD_FAST                8 (t19)
2022-11-23T01:32:30.5449835Z              52 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.5449932Z              54 STORE_FAST               9 (t20)
2022-11-23T01:32:30.5449937Z 
2022-11-23T01:32:30.5450031Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T01:32:30.5450125Z              58 LOAD_FAST                2 (p)
2022-11-23T01:32:30.5450211Z              60 BINARY_MULTIPLY
2022-11-23T01:32:30.5450308Z              62 STORE_FAST              10 (t128)
2022-11-23T01:32:30.5450315Z 
2022-11-23T01:32:30.5450408Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T01:32:30.5450504Z              66 LOAD_FAST               10 (t128)
2022-11-23T01:32:30.5450582Z              68 BINARY_ADD
2022-11-23T01:32:30.5450663Z              70 RETURN_VALUE
2022-11-23T01:32:30.5450721Z  
2022-11-23T01:32:30.5450726Z 
2022-11-23T01:32:30.5451047Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704
2022-11-23T01:32:30.5451290Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T01:32:30.5451558Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T01:32:30.5451916Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705
2022-11-23T01:32:30.5452157Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T01:32:30.5452412Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T01:32:30.5452726Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706
2022-11-23T01:32:30.5452968Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T01:32:30.5453226Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T01:32:30.5453531Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707
2022-11-23T01:32:30.5453775Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T01:32:30.5454031Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T01:32:30.5454342Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708
2022-11-23T01:32:30.5454564Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T01:32:30.5454819Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:30.5455145Z [2022-11-23 01:28:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5455395Z [2022-11-23 01:28:16,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T01:32:30.5455728Z [2022-11-23 01:28:16,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709
2022-11-23T01:32:30.5455940Z [2022-11-23 01:28:16,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T01:32:30.5456193Z [2022-11-23 01:28:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:30.5456477Z [2022-11-23 01:28:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5456800Z [2022-11-23 01:28:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.5457154Z [2022-11-23 01:28:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5457481Z [2022-11-23 01:28:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5457772Z [2022-11-23 01:28:16,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5458018Z [2022-11-23 01:28:16,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T01:32:30.5458301Z [2022-11-23 01:28:16,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.5458629Z [2022-11-23 01:28:16,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5459356Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5459619Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T01:32:30.5459932Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710
2022-11-23T01:32:30.5460156Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T01:32:30.5460409Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T01:32:30.5460709Z [2022-11-23 01:28:16,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.5460958Z [2022-11-23 01:28:16,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T01:32:30.5461276Z [2022-11-23 01:28:16,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711
2022-11-23T01:32:30.5461497Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T01:32:30.5461742Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T01:32:30.5462019Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5462268Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T01:32:30.5462582Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712
2022-11-23T01:32:30.5462855Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T01:32:30.5463102Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T01:32:30.5463378Z [2022-11-23 01:28:16,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5463658Z [2022-11-23 01:28:16,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5464094Z [2022-11-23 01:28:16,372] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702>
2022-11-23T01:32:30.5464360Z [2022-11-23 01:28:16,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.5464597Z [2022-11-23 01:28:16,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5464849Z [2022-11-23 01:28:16,373] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5465103Z [2022-11-23 01:28:16,380] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5465305Z [2022-11-23 01:28:16,380] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5465448Z  __compiled_fn_283 <eval_with_key>.1747 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5465543Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5465635Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5465727Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.5465935Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T01:32:30.5466134Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T01:32:30.5466387Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T01:32:30.5466603Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T01:32:30.5466807Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T01:32:30.5466993Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T01:32:30.5467192Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T01:32:30.5467374Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T01:32:30.5467567Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T01:32:30.5467661Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:30.5467667Z 
2022-11-23T01:32:30.5468000Z [2022-11-23 01:28:16,380] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5468101Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5468203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5468297Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5468400Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5468493Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5468591Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5468669Z              12 RETURN_VALUE
2022-11-23T01:32:30.5468674Z 
2022-11-23T01:32:30.5468740Z  
2022-11-23T01:32:30.5469073Z [2022-11-23 01:28:16,380] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5469189Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_283)
2022-11-23T01:32:30.5469287Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5469387Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5469471Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5469559Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5469652Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5469774Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5469869Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5469961Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.5470043Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.5470159Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.5470311Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.5470407Z              24 RETURN_VALUE
2022-11-23T01:32:30.5470413Z 
2022-11-23T01:32:30.5470493Z  
2022-11-23T01:32:30.5470709Z [2022-11-23 01:28:16,381] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5470787Z  - 
2022-11-23T01:32:30.5470914Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5470983Z             {
2022-11-23T01:32:30.5471122Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5471313Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.5471437Z                 'obj_weakref': None
2022-11-23T01:32:30.5471668Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5471752Z             }
2022-11-23T01:32:30.5471832Z             
2022-11-23T01:32:30.5471920Z  - 
2022-11-23T01:32:30.5472058Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5472127Z             {
2022-11-23T01:32:30.5472274Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5472384Z                 'code': None,
2022-11-23T01:32:30.5472601Z                 'obj_weakref': <weakref at 0x7f2022f332e0; to 'Tensor' at 0x7f207269b240>
2022-11-23T01:32:30.5472853Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5472924Z             }
2022-11-23T01:32:30.5472996Z             
2022-11-23T01:32:30.5473064Z  - 
2022-11-23T01:32:30.5473192Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5473262Z             {
2022-11-23T01:32:30.5473408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5473524Z                 'code': None,
2022-11-23T01:32:30.5473732Z                 'obj_weakref': <weakref at 0x7f2022f31350; to 'Tensor' at 0x7f2060735710>
2022-11-23T01:32:30.5473986Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5474047Z             }
2022-11-23T01:32:30.5474116Z             
2022-11-23T01:32:30.5474192Z  - 
2022-11-23T01:32:30.5474320Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.5474389Z             {
2022-11-23T01:32:30.5474535Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5474640Z                 'code': None,
2022-11-23T01:32:30.5474847Z                 'obj_weakref': <weakref at 0x7f2115f22390; to 'Tensor' at 0x7f202320c9a0>
2022-11-23T01:32:30.5475097Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5475166Z             }
2022-11-23T01:32:30.5475237Z             
2022-11-23T01:32:30.5475316Z  - 
2022-11-23T01:32:30.5475452Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5475514Z             {
2022-11-23T01:32:30.5475654Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5475832Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5475958Z                 'obj_weakref': None
2022-11-23T01:32:30.5476191Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5476261Z             }
2022-11-23T01:32:30.5476329Z             
2022-11-23T01:32:30.5476397Z  - 
2022-11-23T01:32:30.5476525Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5476593Z             {
2022-11-23T01:32:30.5476736Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5476967Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5477093Z                 'obj_weakref': None
2022-11-23T01:32:30.5477358Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5477431Z             }
2022-11-23T01:32:30.5477492Z             
2022-11-23T01:32:30.5477785Z [2022-11-23 01:28:16,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275
2022-11-23T01:32:30.5478164Z [2022-11-23 01:28:17,967] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zf/czfakd3t2xvz3dotbfztgwmjykfqtyyz2ubj6u6ghuz47kjiyxbz.py
2022-11-23T01:32:30.5478434Z [2022-11-23 01:28:17,967] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275
2022-11-23T01:32:30.5478440Z 
2022-11-23T01:32:30.5478544Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5478620Z import torch
2022-11-23T01:32:30.5478697Z import random
2022-11-23T01:32:30.5478820Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5478941Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5478949Z 
2022-11-23T01:32:30.5479035Z aten = torch.ops.aten
2022-11-23T01:32:30.5479178Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5479278Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5479286Z 
2022-11-23T01:32:30.5479362Z import triton
2022-11-23T01:32:30.5479457Z import triton.language as tl
2022-11-23T01:32:30.5479586Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5479737Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5479754Z 
2022-11-23T01:32:30.5479761Z 
2022-11-23T01:32:30.5479917Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5480131Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5480264Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5480377Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5480490Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:30.5480596Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5480663Z {
2022-11-23T01:32:30.5480759Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5480830Z     {
2022-11-23T01:32:30.5480914Z         #pragma omp for 
2022-11-23T01:32:30.5481004Z         for(long i0=0; i0<41616; i0+=1)
2022-11-23T01:32:30.5481071Z         {
2022-11-23T01:32:30.5481161Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:30.5481228Z             {
2022-11-23T01:32:30.5481380Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (26*i0));
2022-11-23T01:32:30.5481554Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (26*i0));
2022-11-23T01:32:30.5481717Z                 auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T01:32:30.5481954Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2022-11-23T01:32:30.5482049Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5482275Z                 auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2022-11-23T01:32:30.5482371Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5482465Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:30.5482696Z                 auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2022-11-23T01:32:30.5482782Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:30.5483007Z                 auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2022-11-23T01:32:30.5483101Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:30.5483199Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:32:30.5483309Z                 auto tmp12 = tmp11.reciprocal();
2022-11-23T01:32:30.5483455Z                 auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:30.5483597Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:32:30.5483688Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:32:30.5483784Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:32:30.5483898Z                 tmp17.store(out_ptr0 + (8*i1) + (26*i0));
2022-11-23T01:32:30.5484016Z             }
2022-11-23T01:32:30.5484117Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:30.5484210Z             for(long i1=24; i1<26; i1+=1)
2022-11-23T01:32:30.5484277Z             {
2022-11-23T01:32:30.5484373Z                 auto tmp0 = in_ptr0[i1 + (26*i0)];
2022-11-23T01:32:30.5484476Z                 auto tmp8 = in_ptr1[i1 + (26*i0)];
2022-11-23T01:32:30.5484569Z                 auto tmp15 = in_ptr2[i1];
2022-11-23T01:32:30.5484754Z                 auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2022-11-23T01:32:30.5484848Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.5485031Z                 auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2022-11-23T01:32:30.5485127Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5485221Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:30.5485393Z                 auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2022-11-23T01:32:30.5485496Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:30.5485677Z                 auto tmp9 = static_cast<float>(1.55093272922008e-10);
2022-11-23T01:32:30.5485772Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:30.5485869Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:32:30.5485958Z                 auto tmp12 = 1 / tmp11;
2022-11-23T01:32:30.5486071Z                 auto tmp13 = static_cast<float>(1.0);
2022-11-23T01:32:30.5486160Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:32:30.5486256Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:32:30.5486350Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:32:30.5486452Z                 out_ptr0[i1 + (26*i0)] = tmp17;
2022-11-23T01:32:30.5486522Z             }
2022-11-23T01:32:30.5486590Z         }
2022-11-23T01:32:30.5486658Z     }
2022-11-23T01:32:30.5486716Z }
2022-11-23T01:32:30.5486805Z ''')
2022-11-23T01:32:30.5486810Z 
2022-11-23T01:32:30.5486815Z 
2022-11-23T01:32:30.5486917Z async_compile.wait(globals())
2022-11-23T01:32:30.5486994Z del async_compile
2022-11-23T01:32:30.5486999Z 
2022-11-23T01:32:30.5487075Z def call(args):
2022-11-23T01:32:30.5487164Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.5487239Z     args.clear()
2022-11-23T01:32:30.5487451Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5487652Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5487726Z     del arg0_1
2022-11-23T01:32:30.5487797Z     del arg1_1
2022-11-23T01:32:30.5487866Z     del arg2_1
2022-11-23T01:32:30.5487943Z     return (buf0, )
2022-11-23T01:32:30.5487948Z 
2022-11-23T01:32:30.5487953Z 
2022-11-23T01:32:30.5488037Z if __name__ == "__main__":
2022-11-23T01:32:30.5488157Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5488280Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5488503Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5488720Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5488917Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5489047Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.5489052Z 
2022-11-23T01:32:30.5489124Z ok (1.639s)
2022-11-23T01:32:30.5489433Z   test_views1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5489788Z [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5490016Z [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5490270Z [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5490579Z [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5490903Z [2022-11-23 01:28:17,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5491251Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5491576Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5491962Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5492068Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5492169Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5492270Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5492357Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5492456Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5492539Z              10 BINARY_ADD
2022-11-23T01:32:30.5492633Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5492716Z              14 RETURN_VALUE
2022-11-23T01:32:30.5492781Z  
2022-11-23T01:32:30.5492786Z 
2022-11-23T01:32:30.5493106Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5493327Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5493569Z [2022-11-23 01:28:17,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5493861Z [2022-11-23 01:28:17,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5494168Z [2022-11-23 01:28:17,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5494411Z [2022-11-23 01:28:17,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5494689Z [2022-11-23 01:28:17,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5494936Z [2022-11-23 01:28:17,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5495192Z [2022-11-23 01:28:17,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5495574Z [2022-11-23 01:28:17,987] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5495826Z [2022-11-23 01:28:17,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5496057Z [2022-11-23 01:28:17,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5496314Z [2022-11-23 01:28:17,988] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5496567Z [2022-11-23 01:28:17,991] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5496762Z [2022-11-23 01:28:17,991] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5496948Z  __compiled_fn_284 <eval_with_key>.1753 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5497045Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5497139Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5497266Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T01:32:30.5497444Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5497546Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5497552Z 
2022-11-23T01:32:30.5497886Z [2022-11-23 01:28:17,991] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5497988Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5498085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5498178Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5498281Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5498372Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5498463Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5498547Z              12 RETURN_VALUE
2022-11-23T01:32:30.5498552Z 
2022-11-23T01:32:30.5498620Z  
2022-11-23T01:32:30.5499173Z [2022-11-23 01:28:17,991] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5499295Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_284)
2022-11-23T01:32:30.5499392Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5499488Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5499573Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5499661Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5499758Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5499842Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5499935Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5500051Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5500192Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5500296Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5500386Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5500493Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5500605Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5500702Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5500786Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5500878Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5500978Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5501077Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5501172Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5501254Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5501365Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5501464Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5501570Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5501669Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5501752Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5501853Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5501935Z              54 RETURN_VALUE
2022-11-23T01:32:30.5501940Z 
2022-11-23T01:32:30.5502007Z  
2022-11-23T01:32:30.5502204Z [2022-11-23 01:28:17,992] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5502280Z  - 
2022-11-23T01:32:30.5502404Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5502473Z             {
2022-11-23T01:32:30.5502612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5502806Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5502981Z                 'obj_weakref': None
2022-11-23T01:32:30.5503210Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5503281Z             }
2022-11-23T01:32:30.5503378Z             
2022-11-23T01:32:30.5503457Z  - 
2022-11-23T01:32:30.5503580Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5503653Z             {
2022-11-23T01:32:30.5503800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5503913Z                 'code': None,
2022-11-23T01:32:30.5504127Z                 'obj_weakref': <weakref at 0x7f2022f32d40; to 'Tensor' at 0x7f206070cfe0>
2022-11-23T01:32:30.5504380Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5504449Z             }
2022-11-23T01:32:30.5504510Z             
2022-11-23T01:32:30.5504587Z  - 
2022-11-23T01:32:30.5504713Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5504782Z             {
2022-11-23T01:32:30.5504937Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5505052Z                 'code': None,
2022-11-23T01:32:30.5505262Z                 'obj_weakref': <weakref at 0x7f2022f336a0; to 'Tensor' at 0x7f202328a9d0>
2022-11-23T01:32:30.5505503Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5505571Z             }
2022-11-23T01:32:30.5505639Z             
2022-11-23T01:32:30.5505713Z  - 
2022-11-23T01:32:30.5505850Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5505918Z             {
2022-11-23T01:32:30.5506059Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5506229Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5506354Z                 'obj_weakref': None
2022-11-23T01:32:30.5506587Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5506656Z             }
2022-11-23T01:32:30.5506727Z             
2022-11-23T01:32:30.5506802Z  - 
2022-11-23T01:32:30.5506930Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5506991Z             {
2022-11-23T01:32:30.5507138Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5507358Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5507483Z                 'obj_weakref': None
2022-11-23T01:32:30.5507711Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5507780Z             }
2022-11-23T01:32:30.5507848Z             
2022-11-23T01:32:30.5507915Z  - 
2022-11-23T01:32:30.5508101Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5508170Z             {
2022-11-23T01:32:30.5508346Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5508877Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:30.5509005Z                 'obj_weakref': None
2022-11-23T01:32:30.5509228Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5509296Z             }
2022-11-23T01:32:30.5509356Z             
2022-11-23T01:32:30.5509431Z  - 
2022-11-23T01:32:30.5509627Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5509695Z             {
2022-11-23T01:32:30.5509843Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5510128Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:30.5510360Z                 'obj_weakref': None
2022-11-23T01:32:30.5510608Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5510701Z             }
2022-11-23T01:32:30.5510794Z             
2022-11-23T01:32:30.5510872Z  - 
2022-11-23T01:32:30.5511062Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5511131Z             {
2022-11-23T01:32:30.5511278Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5511572Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:30.5511716Z                 'obj_weakref': None
2022-11-23T01:32:30.5511941Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5512009Z             }
2022-11-23T01:32:30.5512078Z             
2022-11-23T01:32:30.5512348Z [2022-11-23 01:28:17,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276
2022-11-23T01:32:30.5512721Z [2022-11-23 01:28:19,546] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/az/cazswrlf3rtzovusf4dyke6fsv4nbzhw4ppkvxhgyjau42ruj75g.py
2022-11-23T01:32:30.5512995Z [2022-11-23 01:28:19,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276
2022-11-23T01:32:30.5513230Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5513551Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5513776Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5514034Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5514317Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5514640Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5514994Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5515319Z [2022-11-23 01:28:19,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5515692Z [2022-11-23 01:28:19,551] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5515793Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5515883Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5515965Z               4 BINARY_ADD
2022-11-23T01:32:30.5516067Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5516167Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5516263Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5516360Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5516439Z              14 BINARY_ADD
2022-11-23T01:32:30.5516526Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5516607Z              18 RETURN_VALUE
2022-11-23T01:32:30.5516674Z  
2022-11-23T01:32:30.5516680Z 
2022-11-23T01:32:30.5516994Z [2022-11-23 01:28:19,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5517212Z [2022-11-23 01:28:19,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5517486Z [2022-11-23 01:28:19,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5517776Z [2022-11-23 01:28:19,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5518021Z [2022-11-23 01:28:19,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5518330Z [2022-11-23 01:28:19,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5518630Z [2022-11-23 01:28:19,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5518872Z [2022-11-23 01:28:19,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5519148Z [2022-11-23 01:28:19,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5519397Z [2022-11-23 01:28:19,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5519648Z [2022-11-23 01:28:19,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5520026Z [2022-11-23 01:28:19,554] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5520275Z [2022-11-23 01:28:19,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5520513Z [2022-11-23 01:28:19,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5520772Z [2022-11-23 01:28:19,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5521023Z [2022-11-23 01:28:19,559] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5521215Z [2022-11-23 01:28:19,559] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5521357Z  __compiled_fn_285 <eval_with_key>.1759 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5521452Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5521549Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5521731Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5521835Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T01:32:30.5522022Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5522116Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5522132Z 
2022-11-23T01:32:30.5522455Z [2022-11-23 01:28:19,559] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5522559Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5522657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5522753Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5522856Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5522947Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5523042Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5523118Z              12 RETURN_VALUE
2022-11-23T01:32:30.5523131Z 
2022-11-23T01:32:30.5523190Z  
2022-11-23T01:32:30.5523521Z [2022-11-23 01:28:19,559] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5523638Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_285)
2022-11-23T01:32:30.5523735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5523832Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5523913Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5524008Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5524093Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5524206Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5524302Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5524415Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5524573Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5524678Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5524771Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5524866Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5524977Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5525071Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5525152Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5525245Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5525344Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5525451Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5525541Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5525622Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5525731Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5525832Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5525936Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5526029Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5526113Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5526222Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5526296Z              54 RETURN_VALUE
2022-11-23T01:32:30.5526301Z 
2022-11-23T01:32:30.5526367Z  
2022-11-23T01:32:30.5526558Z [2022-11-23 01:28:19,560] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5526634Z  - 
2022-11-23T01:32:30.5526759Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5526827Z             {
2022-11-23T01:32:30.5526974Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5527158Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5527283Z                 'obj_weakref': None
2022-11-23T01:32:30.5527512Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5527582Z             }
2022-11-23T01:32:30.5527649Z             
2022-11-23T01:32:30.5527724Z  - 
2022-11-23T01:32:30.5527852Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5527913Z             {
2022-11-23T01:32:30.5528063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5528175Z                 'code': None,
2022-11-23T01:32:30.5528388Z                 'obj_weakref': <weakref at 0x7f2023257b50; to 'Tensor' at 0x7f206070cfe0>
2022-11-23T01:32:30.5528643Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5528712Z             }
2022-11-23T01:32:30.5528780Z             
2022-11-23T01:32:30.5528851Z  - 
2022-11-23T01:32:30.5528981Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5529048Z             {
2022-11-23T01:32:30.5529195Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5529310Z                 'code': None,
2022-11-23T01:32:30.5529517Z                 'obj_weakref': <weakref at 0x7f2023100090; to 'Tensor' at 0x7f202328a9d0>
2022-11-23T01:32:30.5529764Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5529827Z             }
2022-11-23T01:32:30.5529895Z             
2022-11-23T01:32:30.5529970Z  - 
2022-11-23T01:32:30.5530107Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5530177Z             {
2022-11-23T01:32:30.5530318Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5530494Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5530611Z                 'obj_weakref': None
2022-11-23T01:32:30.5530872Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5530942Z             }
2022-11-23T01:32:30.5531011Z             
2022-11-23T01:32:30.5531106Z  - 
2022-11-23T01:32:30.5531234Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5531303Z             {
2022-11-23T01:32:30.5531439Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5531663Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5531788Z                 'obj_weakref': None
2022-11-23T01:32:30.5532014Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5532082Z             }
2022-11-23T01:32:30.5532150Z             
2022-11-23T01:32:30.5532225Z  - 
2022-11-23T01:32:30.5532401Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5532474Z             {
2022-11-23T01:32:30.5532652Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5533178Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:30.5533311Z                 'obj_weakref': None
2022-11-23T01:32:30.5533537Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5533608Z             }
2022-11-23T01:32:30.5533676Z             
2022-11-23T01:32:30.5533744Z  - 
2022-11-23T01:32:30.5533936Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5534004Z             {
2022-11-23T01:32:30.5534152Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5534440Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:30.5534565Z                 'obj_weakref': None
2022-11-23T01:32:30.5534789Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5534850Z             }
2022-11-23T01:32:30.5534918Z             
2022-11-23T01:32:30.5534995Z  - 
2022-11-23T01:32:30.5535182Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5535253Z             {
2022-11-23T01:32:30.5535402Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5535677Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:30.5535792Z                 'obj_weakref': None
2022-11-23T01:32:30.5536004Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5536075Z             }
2022-11-23T01:32:30.5536144Z             
2022-11-23T01:32:30.5536406Z [2022-11-23 01:28:19,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277
2022-11-23T01:32:30.5536774Z [2022-11-23 01:28:21,133] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yl/cylbnwrfgxoh5zkpepwekw6xvwqxk4c2iuegry6ret2m2szdi2p2.py
2022-11-23T01:32:30.5537037Z [2022-11-23 01:28:21,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277
2022-11-23T01:32:30.5537277Z [2022-11-23 01:28:21,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5537586Z [2022-11-23 01:28:21,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5537799Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5538088Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5538372Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5538713Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5539281Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5539605Z [2022-11-23 01:28:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5539976Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5540080Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5540181Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5540273Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5540369Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5540468Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5540549Z              10 BINARY_ADD
2022-11-23T01:32:30.5540644Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5540724Z              14 RETURN_VALUE
2022-11-23T01:32:30.5540790Z  
2022-11-23T01:32:30.5540796Z 
2022-11-23T01:32:30.5541108Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5541314Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5541587Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5541894Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5542199Z [2022-11-23 01:28:21,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5542437Z [2022-11-23 01:28:21,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5542711Z [2022-11-23 01:28:21,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5542957Z [2022-11-23 01:28:21,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5543205Z [2022-11-23 01:28:21,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5543589Z [2022-11-23 01:28:21,140] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5543841Z [2022-11-23 01:28:21,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5544073Z [2022-11-23 01:28:21,140] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5544330Z [2022-11-23 01:28:21,142] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5544583Z [2022-11-23 01:28:21,144] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5544778Z [2022-11-23 01:28:21,145] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5544921Z  __compiled_fn_286 <eval_with_key>.1765 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5545016Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5545164Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5545281Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:30.5545460Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5545587Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5545593Z 
2022-11-23T01:32:30.5545917Z [2022-11-23 01:28:21,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5546018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5546116Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5546209Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5546309Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5546401Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5546490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5546571Z              12 RETURN_VALUE
2022-11-23T01:32:30.5546577Z 
2022-11-23T01:32:30.5546646Z  
2022-11-23T01:32:30.5546970Z [2022-11-23 01:28:21,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5547090Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_286)
2022-11-23T01:32:30.5547188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5547287Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5547362Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5547457Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5547553Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5547635Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5547727Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5547838Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5547974Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5548082Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5548168Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5548269Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5548383Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5548478Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5548559Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5548655Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5548755Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5548853Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5548947Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5549027Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5549136Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5549234Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5549342Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5549439Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5549513Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5549621Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5549704Z              54 RETURN_VALUE
2022-11-23T01:32:30.5549709Z 
2022-11-23T01:32:30.5549776Z  
2022-11-23T01:32:30.5549967Z [2022-11-23 01:28:21,147] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5550042Z  - 
2022-11-23T01:32:30.5550165Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5550226Z             {
2022-11-23T01:32:30.5550463Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5550666Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5550792Z                 'obj_weakref': None
2022-11-23T01:32:30.5551019Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5551123Z             }
2022-11-23T01:32:30.5551194Z             
2022-11-23T01:32:30.5551265Z  - 
2022-11-23T01:32:30.5551394Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5551465Z             {
2022-11-23T01:32:30.5551640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5551754Z                 'code': None,
2022-11-23T01:32:30.5551963Z                 'obj_weakref': <weakref at 0x7f202320b5b0; to 'Tensor' at 0x7f2023254c20>
2022-11-23T01:32:30.5552214Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5552284Z             }
2022-11-23T01:32:30.5552346Z             
2022-11-23T01:32:30.5552421Z  - 
2022-11-23T01:32:30.5552550Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5552618Z             {
2022-11-23T01:32:30.5552763Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5552875Z                 'code': None,
2022-11-23T01:32:30.5553073Z                 'obj_weakref': <weakref at 0x7f2023208e00; to 'Tensor' at 0x7f20232560c0>
2022-11-23T01:32:30.5553314Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5553390Z             }
2022-11-23T01:32:30.5553458Z             
2022-11-23T01:32:30.5553533Z  - 
2022-11-23T01:32:30.5553668Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5553737Z             {
2022-11-23T01:32:30.5553867Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5554042Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5554166Z                 'obj_weakref': None
2022-11-23T01:32:30.5554396Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5554465Z             }
2022-11-23T01:32:30.5554533Z             
2022-11-23T01:32:30.5554609Z  - 
2022-11-23T01:32:30.5554726Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5554795Z             {
2022-11-23T01:32:30.5554939Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5555157Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5555285Z                 'obj_weakref': None
2022-11-23T01:32:30.5555507Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5555576Z             }
2022-11-23T01:32:30.5555636Z             
2022-11-23T01:32:30.5555710Z  - 
2022-11-23T01:32:30.5555891Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5555960Z             {
2022-11-23T01:32:30.5556131Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5557006Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:30.5557135Z                 'obj_weakref': None
2022-11-23T01:32:30.5557361Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5557430Z             }
2022-11-23T01:32:30.5557492Z             
2022-11-23T01:32:30.5557567Z  - 
2022-11-23T01:32:30.5557756Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5557825Z             {
2022-11-23T01:32:30.5557972Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5558291Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.5558415Z                 'obj_weakref': None
2022-11-23T01:32:30.5558633Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5558720Z             }
2022-11-23T01:32:30.5558790Z             
2022-11-23T01:32:30.5558867Z  - 
2022-11-23T01:32:30.5559054Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5559123Z             {
2022-11-23T01:32:30.5559267Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5559538Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:30.5559653Z                 'obj_weakref': None
2022-11-23T01:32:30.5559867Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5559939Z             }
2022-11-23T01:32:30.5560010Z             
2022-11-23T01:32:30.5560085Z  - 
2022-11-23T01:32:30.5560269Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5560342Z             {
2022-11-23T01:32:30.5560479Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5560748Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:30.5560870Z                 'obj_weakref': None
2022-11-23T01:32:30.5561084Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5561153Z             }
2022-11-23T01:32:30.5561221Z             
2022-11-23T01:32:30.5561296Z  - 
2022-11-23T01:32:30.5561472Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.5561540Z             {
2022-11-23T01:32:30.5561684Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5561953Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:30.5562075Z                 'obj_weakref': None
2022-11-23T01:32:30.5562290Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5562359Z             }
2022-11-23T01:32:30.5562426Z             
2022-11-23T01:32:30.5562493Z  - 
2022-11-23T01:32:30.5562676Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.5562744Z             {
2022-11-23T01:32:30.5562889Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5563153Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:30.5563274Z                 'obj_weakref': None
2022-11-23T01:32:30.5563484Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5563546Z             }
2022-11-23T01:32:30.5563613Z             
2022-11-23T01:32:30.5563688Z  - 
2022-11-23T01:32:30.5563870Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:30.5563942Z             {
2022-11-23T01:32:30.5564086Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5564352Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:30.5564466Z                 'obj_weakref': None
2022-11-23T01:32:30.5564676Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5564744Z             }
2022-11-23T01:32:30.5564811Z             
2022-11-23T01:32:30.5565076Z [2022-11-23 01:28:21,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278
2022-11-23T01:32:30.5565477Z [2022-11-23 01:28:22,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/by/cby7oypwo2dhhgaavrqtuoebkol72j6dc375okd653igodlp4nfw.py
2022-11-23T01:32:30.5565750Z [2022-11-23 01:28:22,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278
2022-11-23T01:32:30.5566015Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5566326Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5566552Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5566812Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5567092Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5567417Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5567770Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5568098Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5568473Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5568573Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5568671Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5568743Z               4 BINARY_ADD
2022-11-23T01:32:30.5568850Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5568951Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5569044Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5569143Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5569221Z              14 BINARY_ADD
2022-11-23T01:32:30.5569315Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5569389Z              18 RETURN_VALUE
2022-11-23T01:32:30.5569455Z  
2022-11-23T01:32:30.5569461Z 
2022-11-23T01:32:30.5569779Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5569995Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5570240Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5570531Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5570778Z [2022-11-23 01:28:22,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5571067Z [2022-11-23 01:28:22,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5571374Z [2022-11-23 01:28:22,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5571609Z [2022-11-23 01:28:22,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5571882Z [2022-11-23 01:28:22,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5572130Z [2022-11-23 01:28:22,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5572412Z [2022-11-23 01:28:22,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5572795Z [2022-11-23 01:28:22,712] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5573067Z [2022-11-23 01:28:22,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5573306Z [2022-11-23 01:28:22,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5573567Z [2022-11-23 01:28:22,714] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5573822Z [2022-11-23 01:28:22,717] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5574016Z [2022-11-23 01:28:22,717] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5574154Z  __compiled_fn_287 <eval_with_key>.1771 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5574250Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5574349Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5574530Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5574648Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:30.5574835Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5574938Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5574944Z 
2022-11-23T01:32:30.5575273Z [2022-11-23 01:28:22,718] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5575366Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5575470Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5575563Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5575666Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5575761Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5575855Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5575937Z              12 RETURN_VALUE
2022-11-23T01:32:30.5575945Z 
2022-11-23T01:32:30.5576003Z  
2022-11-23T01:32:30.5576333Z [2022-11-23 01:28:22,718] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5576453Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_287)
2022-11-23T01:32:30.5576550Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5576646Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5576728Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5576825Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5576919Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5576992Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5577091Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5577203Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5577342Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5577448Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5577542Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5577645Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5577746Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5577841Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5577921Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5578013Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5578114Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5578221Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5578315Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5578420Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5578532Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5578629Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5578755Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5579057Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5579142Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5579254Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5579329Z              54 RETURN_VALUE
2022-11-23T01:32:30.5579343Z 
2022-11-23T01:32:30.5579403Z  
2022-11-23T01:32:30.5579596Z [2022-11-23 01:28:22,719] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5579672Z  - 
2022-11-23T01:32:30.5579798Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5579868Z             {
2022-11-23T01:32:30.5580017Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5580211Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5580330Z                 'obj_weakref': None
2022-11-23T01:32:30.5580559Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5580634Z             }
2022-11-23T01:32:30.5580703Z             
2022-11-23T01:32:30.5580779Z  - 
2022-11-23T01:32:30.5580909Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5580971Z             {
2022-11-23T01:32:30.5581120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5581232Z                 'code': None,
2022-11-23T01:32:30.5581442Z                 'obj_weakref': <weakref at 0x7f21159c3010; to 'Tensor' at 0x7f206819f8d0>
2022-11-23T01:32:30.5581699Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5581770Z             }
2022-11-23T01:32:30.5581843Z             
2022-11-23T01:32:30.5581920Z  - 
2022-11-23T01:32:30.5582041Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5582112Z             {
2022-11-23T01:32:30.5582264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5582376Z                 'code': None,
2022-11-23T01:32:30.5582589Z                 'obj_weakref': <weakref at 0x7f206814d9e0; to 'Tensor' at 0x7f206819c9f0>
2022-11-23T01:32:30.5582837Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5582907Z             }
2022-11-23T01:32:30.5582969Z             
2022-11-23T01:32:30.5583048Z  - 
2022-11-23T01:32:30.5583184Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5583253Z             {
2022-11-23T01:32:30.5583394Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5583572Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5583702Z                 'obj_weakref': None
2022-11-23T01:32:30.5583930Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5584001Z             }
2022-11-23T01:32:30.5584068Z             
2022-11-23T01:32:30.5584145Z  - 
2022-11-23T01:32:30.5584272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5584343Z             {
2022-11-23T01:32:30.5584479Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5584703Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5584827Z                 'obj_weakref': None
2022-11-23T01:32:30.5585051Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5585121Z             }
2022-11-23T01:32:30.5585189Z             
2022-11-23T01:32:30.5585266Z  - 
2022-11-23T01:32:30.5585452Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5585515Z             {
2022-11-23T01:32:30.5585687Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5586638Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:30.5586801Z                 'obj_weakref': None
2022-11-23T01:32:30.5587027Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5587096Z             }
2022-11-23T01:32:30.5587166Z             
2022-11-23T01:32:30.5587243Z  - 
2022-11-23T01:32:30.5587437Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5587500Z             {
2022-11-23T01:32:30.5587650Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5587934Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.5588066Z                 'obj_weakref': None
2022-11-23T01:32:30.5588290Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5588360Z             }
2022-11-23T01:32:30.5588432Z             
2022-11-23T01:32:30.5588501Z  - 
2022-11-23T01:32:30.5588690Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5588758Z             {
2022-11-23T01:32:30.5588907Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5589186Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:30.5589310Z                 'obj_weakref': None
2022-11-23T01:32:30.5589528Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5589594Z             }
2022-11-23T01:32:30.5589664Z             
2022-11-23T01:32:30.5589741Z  - 
2022-11-23T01:32:30.5589928Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5589998Z             {
2022-11-23T01:32:30.5590146Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5590511Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:30.5590641Z                 'obj_weakref': None
2022-11-23T01:32:30.5590850Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5590928Z             }
2022-11-23T01:32:30.5590997Z             
2022-11-23T01:32:30.5591076Z  - 
2022-11-23T01:32:30.5591262Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.5591333Z             {
2022-11-23T01:32:30.5591479Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5591746Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:30.5591871Z                 'obj_weakref': None
2022-11-23T01:32:30.5592087Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5592157Z             }
2022-11-23T01:32:30.5592227Z             
2022-11-23T01:32:30.5592303Z  - 
2022-11-23T01:32:30.5592487Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.5592549Z             {
2022-11-23T01:32:30.5592695Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5593037Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:30.5593162Z                 'obj_weakref': None
2022-11-23T01:32:30.5593378Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5593470Z             }
2022-11-23T01:32:30.5593541Z             
2022-11-23T01:32:30.5593609Z  - 
2022-11-23T01:32:30.5593796Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:30.5593865Z             {
2022-11-23T01:32:30.5594010Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5594276Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:30.5594404Z                 'obj_weakref': None
2022-11-23T01:32:30.5594620Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5594693Z             }
2022-11-23T01:32:30.5594755Z             
2022-11-23T01:32:30.5595019Z [2022-11-23 01:28:22,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279
2022-11-23T01:32:30.5595029Z 
2022-11-23T01:32:30.5595133Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5595208Z import torch
2022-11-23T01:32:30.5595284Z import random
2022-11-23T01:32:30.5595410Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5595542Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5595547Z 
2022-11-23T01:32:30.5595625Z aten = torch.ops.aten
2022-11-23T01:32:30.5595770Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5595872Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5595877Z 
2022-11-23T01:32:30.5595952Z import triton
2022-11-23T01:32:30.5596050Z import triton.language as tl
2022-11-23T01:32:30.5596180Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5596327Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5596332Z 
2022-11-23T01:32:30.5596337Z 
2022-11-23T01:32:30.5596477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5596686Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5596816Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5596929Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5597035Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5597103Z {
2022-11-23T01:32:30.5597210Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5597278Z     {
2022-11-23T01:32:30.5597355Z         #pragma omp for 
2022-11-23T01:32:30.5597445Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5597513Z         {
2022-11-23T01:32:30.5597664Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5597813Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5597906Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5598005Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5598074Z         }
2022-11-23T01:32:30.5598171Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5598262Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:30.5598332Z         {
2022-11-23T01:32:30.5598424Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5598513Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5598605Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5598684Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5598753Z         }
2022-11-23T01:32:30.5598823Z     }
2022-11-23T01:32:30.5598890Z }
2022-11-23T01:32:30.5598977Z ''')
2022-11-23T01:32:30.5598983Z 
2022-11-23T01:32:30.5598987Z 
2022-11-23T01:32:30.5599082Z async_compile.wait(globals())
2022-11-23T01:32:30.5599162Z del async_compile
2022-11-23T01:32:30.5599167Z 
2022-11-23T01:32:30.5599275Z def call(args):
2022-11-23T01:32:30.5599352Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5599429Z     args.clear()
2022-11-23T01:32:30.5599630Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5599824Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5599900Z     del arg0_1
2022-11-23T01:32:30.5599975Z     del arg1_1
2022-11-23T01:32:30.5600054Z     return (buf0, )
2022-11-23T01:32:30.5600060Z 
2022-11-23T01:32:30.5600064Z 
2022-11-23T01:32:30.5600139Z if __name__ == "__main__":
2022-11-23T01:32:30.5600261Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5600391Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5600590Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5600788Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5600914Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5600920Z 
2022-11-23T01:32:30.5600924Z 
2022-11-23T01:32:30.5601030Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5601106Z import torch
2022-11-23T01:32:30.5601178Z import random
2022-11-23T01:32:30.5601300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5601427Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5601432Z 
2022-11-23T01:32:30.5601518Z aten = torch.ops.aten
2022-11-23T01:32:30.5601659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5601758Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5601764Z 
2022-11-23T01:32:30.5601840Z import triton
2022-11-23T01:32:30.5601927Z import triton.language as tl
2022-11-23T01:32:30.5602061Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5602230Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5602235Z 
2022-11-23T01:32:30.5602240Z 
2022-11-23T01:32:30.5602404Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5602620Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5602746Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5602865Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5602973Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5603033Z {
2022-11-23T01:32:30.5603138Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5603206Z     {
2022-11-23T01:32:30.5603288Z         #pragma omp for 
2022-11-23T01:32:30.5603379Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.5603448Z         {
2022-11-23T01:32:30.5603592Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5603733Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5603870Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5603964Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5604053Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5604150Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5604222Z         }
2022-11-23T01:32:30.5604324Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5604413Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:30.5604475Z         {
2022-11-23T01:32:30.5604564Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5604655Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5604760Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5604850Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5604941Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5605028Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5605090Z         }
2022-11-23T01:32:30.5605157Z     }
2022-11-23T01:32:30.5605222Z }
2022-11-23T01:32:30.5605311Z ''')
2022-11-23T01:32:30.5605317Z 
2022-11-23T01:32:30.5605321Z 
2022-11-23T01:32:30.5605452Z async_compile.wait(globals())
2022-11-23T01:32:30.5605533Z del async_compile
2022-11-23T01:32:30.5605539Z 
2022-11-23T01:32:30.5605616Z def call(args):
2022-11-23T01:32:30.5605712Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5605789Z     args.clear()
2022-11-23T01:32:30.5605987Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5606159Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5606232Z     del arg0_1
2022-11-23T01:32:30.5606306Z     del arg1_1
2022-11-23T01:32:30.5606383Z     return (buf0, )
2022-11-23T01:32:30.5606388Z 
2022-11-23T01:32:30.5606392Z 
2022-11-23T01:32:30.5606466Z if __name__ == "__main__":
2022-11-23T01:32:30.5606588Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5606722Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5606921Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5607119Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5607241Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5607249Z 
2022-11-23T01:32:30.5607254Z 
2022-11-23T01:32:30.5607355Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5607431Z import torch
2022-11-23T01:32:30.5607500Z import random
2022-11-23T01:32:30.5607624Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5607752Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5607757Z 
2022-11-23T01:32:30.5607841Z aten = torch.ops.aten
2022-11-23T01:32:30.5607986Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5608084Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5608089Z 
2022-11-23T01:32:30.5608164Z import triton
2022-11-23T01:32:30.5608258Z import triton.language as tl
2022-11-23T01:32:30.5608380Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5608528Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5608533Z 
2022-11-23T01:32:30.5608538Z 
2022-11-23T01:32:30.5608675Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5608889Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5609015Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5609129Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5609233Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5609301Z {
2022-11-23T01:32:30.5609397Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5609463Z     {
2022-11-23T01:32:30.5609547Z         #pragma omp for 
2022-11-23T01:32:30.5609635Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.5609704Z         {
2022-11-23T01:32:30.5609848Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5609992Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5610076Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5610174Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5610247Z         }
2022-11-23T01:32:30.5610350Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5610444Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.5610513Z         {
2022-11-23T01:32:30.5610606Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5610689Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5610779Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5610868Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5610936Z         }
2022-11-23T01:32:30.5611004Z     }
2022-11-23T01:32:30.5611071Z }
2022-11-23T01:32:30.5611151Z ''')
2022-11-23T01:32:30.5611156Z 
2022-11-23T01:32:30.5611169Z 
2022-11-23T01:32:30.5611256Z async_compile.wait(globals())
2022-11-23T01:32:30.5611333Z del async_compile
2022-11-23T01:32:30.5611371Z 
2022-11-23T01:32:30.5611451Z def call(args):
2022-11-23T01:32:30.5611535Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5611611Z     args.clear()
2022-11-23T01:32:30.5611850Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5612047Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5612114Z     del arg0_1
2022-11-23T01:32:30.5612188Z     del arg1_1
2022-11-23T01:32:30.5612266Z     return (buf0, )
2022-11-23T01:32:30.5612271Z 
2022-11-23T01:32:30.5612275Z 
2022-11-23T01:32:30.5612360Z if __name__ == "__main__":
2022-11-23T01:32:30.5612480Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5612614Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5612818Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5613054Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5613170Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5613176Z 
2022-11-23T01:32:30.5613546Z [2022-11-23 01:28:24,283] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ok/cokbg2t5acctgchmjqnwoxemz5pio7k6nciodhzwjp5a476efugv.py
2022-11-23T01:32:30.5613819Z [2022-11-23 01:28:24,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279
2022-11-23T01:32:30.5614061Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5614378Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5614597Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5614854Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5615135Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5615459Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5615801Z [2022-11-23 01:28:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5616115Z [2022-11-23 01:28:24,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5616486Z [2022-11-23 01:28:24,294] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5616588Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5616692Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5616796Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5616894Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5616993Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5617073Z              10 BINARY_ADD
2022-11-23T01:32:30.5617161Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5617243Z              14 RETURN_VALUE
2022-11-23T01:32:30.5617310Z  
2022-11-23T01:32:30.5617315Z 
2022-11-23T01:32:30.5617628Z [2022-11-23 01:28:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5617842Z [2022-11-23 01:28:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5618119Z [2022-11-23 01:28:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5618409Z [2022-11-23 01:28:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5618711Z [2022-11-23 01:28:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5619185Z [2022-11-23 01:28:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5619456Z [2022-11-23 01:28:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5619707Z [2022-11-23 01:28:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5619962Z [2022-11-23 01:28:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5620352Z [2022-11-23 01:28:24,297] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5620608Z [2022-11-23 01:28:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5620852Z [2022-11-23 01:28:24,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5621116Z [2022-11-23 01:28:24,299] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5621373Z [2022-11-23 01:28:24,302] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5621568Z [2022-11-23 01:28:24,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5621706Z  __compiled_fn_288 <eval_with_key>.1777 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5621803Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5621898Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5622016Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:30.5622201Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5622303Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5622312Z 
2022-11-23T01:32:30.5622642Z [2022-11-23 01:28:24,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5622743Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5622835Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5622929Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5623032Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5623124Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5623220Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5623302Z              12 RETURN_VALUE
2022-11-23T01:32:30.5623308Z 
2022-11-23T01:32:30.5623374Z  
2022-11-23T01:32:30.5623708Z [2022-11-23 01:28:24,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5623819Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_288)
2022-11-23T01:32:30.5623919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5624017Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5624100Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5624198Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5624295Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5624376Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5624463Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5624577Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5624716Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5624820Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5624969Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5625075Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5625185Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5625302Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5625386Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5625479Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5625579Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5625689Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5625784Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5625866Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5625976Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5626068Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5626174Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5626274Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5626358Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5626467Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5626554Z              54 RETURN_VALUE
2022-11-23T01:32:30.5626560Z 
2022-11-23T01:32:30.5626626Z  
2022-11-23T01:32:30.5626810Z [2022-11-23 01:28:24,304] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5626888Z  - 
2022-11-23T01:32:30.5627013Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5627083Z             {
2022-11-23T01:32:30.5627230Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5627421Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5627543Z                 'obj_weakref': None
2022-11-23T01:32:30.5627761Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5627833Z             }
2022-11-23T01:32:30.5627905Z             
2022-11-23T01:32:30.5627983Z  - 
2022-11-23T01:32:30.5628113Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5628182Z             {
2022-11-23T01:32:30.5628333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5628441Z                 'code': None,
2022-11-23T01:32:30.5628652Z                 'obj_weakref': <weakref at 0x7f2023288090; to 'Tensor' at 0x7f2115a7b790>
2022-11-23T01:32:30.5628907Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5628978Z             }
2022-11-23T01:32:30.5629049Z             
2022-11-23T01:32:30.5629126Z  - 
2022-11-23T01:32:30.5629255Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5629317Z             {
2022-11-23T01:32:30.5629464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5629576Z                 'code': None,
2022-11-23T01:32:30.5629784Z                 'obj_weakref': <weakref at 0x7f2023339210; to 'Tensor' at 0x7f2023102bb0>
2022-11-23T01:32:30.5630030Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5630100Z             }
2022-11-23T01:32:30.5630174Z             
2022-11-23T01:32:30.5630242Z  - 
2022-11-23T01:32:30.5630467Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5630555Z             {
2022-11-23T01:32:30.5630697Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5630872Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5630995Z                 'obj_weakref': None
2022-11-23T01:32:30.5631223Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5631286Z             }
2022-11-23T01:32:30.5631354Z             
2022-11-23T01:32:30.5631429Z  - 
2022-11-23T01:32:30.5631556Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5631625Z             {
2022-11-23T01:32:30.5631800Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5632022Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5632139Z                 'obj_weakref': None
2022-11-23T01:32:30.5632385Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5632456Z             }
2022-11-23T01:32:30.5632525Z             
2022-11-23T01:32:30.5632602Z  - 
2022-11-23T01:32:30.5632783Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5632854Z             {
2022-11-23T01:32:30.5633022Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5633898Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:30.5634028Z                 'obj_weakref': None
2022-11-23T01:32:30.5634250Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5634320Z             }
2022-11-23T01:32:30.5634389Z             
2022-11-23T01:32:30.5634465Z  - 
2022-11-23T01:32:30.5634652Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5634722Z             {
2022-11-23T01:32:30.5634862Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5635143Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.5635268Z                 'obj_weakref': None
2022-11-23T01:32:30.5635483Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5635557Z             }
2022-11-23T01:32:30.5635626Z             
2022-11-23T01:32:30.5635702Z  - 
2022-11-23T01:32:30.5635883Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5635952Z             {
2022-11-23T01:32:30.5636100Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5636374Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:30.5636499Z                 'obj_weakref': None
2022-11-23T01:32:30.5636714Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5636783Z             }
2022-11-23T01:32:30.5636856Z             
2022-11-23T01:32:30.5636925Z  - 
2022-11-23T01:32:30.5637111Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5637180Z             {
2022-11-23T01:32:30.5637327Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5637595Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:30.5637723Z                 'obj_weakref': None
2022-11-23T01:32:30.5637938Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5638000Z             }
2022-11-23T01:32:30.5638070Z             
2022-11-23T01:32:30.5638147Z  - 
2022-11-23T01:32:30.5638332Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.5638401Z             {
2022-11-23T01:32:30.5638548Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5638864Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:30.5638982Z                 'obj_weakref': None
2022-11-23T01:32:30.5639228Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5639297Z             }
2022-11-23T01:32:30.5639366Z             
2022-11-23T01:32:30.5639442Z  - 
2022-11-23T01:32:30.5639628Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.5639697Z             {
2022-11-23T01:32:30.5639835Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5640107Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:30.5640231Z                 'obj_weakref': None
2022-11-23T01:32:30.5640446Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5640518Z             }
2022-11-23T01:32:30.5640587Z             
2022-11-23T01:32:30.5640663Z  - 
2022-11-23T01:32:30.5640839Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:30.5640912Z             {
2022-11-23T01:32:30.5641057Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5641328Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:30.5641452Z                 'obj_weakref': None
2022-11-23T01:32:30.5641666Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5641742Z             }
2022-11-23T01:32:30.5641827Z             
2022-11-23T01:32:30.5642112Z [2022-11-23 01:28:24,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280
2022-11-23T01:32:30.5642481Z [2022-11-23 01:28:24,321] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3z/c3znu2cbvfqfm5lhlwiqoiinp65ag2jqj6x63bzjirixzqs2zwz2.py
2022-11-23T01:32:30.5642753Z [2022-11-23 01:28:24,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280
2022-11-23T01:32:30.5642999Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5643316Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5643541Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5643801Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5644083Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5644407Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5644756Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5645075Z [2022-11-23 01:28:24,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5645449Z [2022-11-23 01:28:24,326] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5645551Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5645651Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5645732Z               4 BINARY_ADD
2022-11-23T01:32:30.5645836Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5645967Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5646066Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5646156Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5646257Z              14 BINARY_ADD
2022-11-23T01:32:30.5646352Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5646435Z              18 RETURN_VALUE
2022-11-23T01:32:30.5646503Z  
2022-11-23T01:32:30.5646509Z 
2022-11-23T01:32:30.5646833Z [2022-11-23 01:28:24,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5647051Z [2022-11-23 01:28:24,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5647298Z [2022-11-23 01:28:24,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5647580Z [2022-11-23 01:28:24,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5647827Z [2022-11-23 01:28:24,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5648115Z [2022-11-23 01:28:24,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5648425Z [2022-11-23 01:28:24,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5648665Z [2022-11-23 01:28:24,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5648938Z [2022-11-23 01:28:24,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5649184Z [2022-11-23 01:28:24,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5649436Z [2022-11-23 01:28:24,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5649808Z [2022-11-23 01:28:24,330] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5650058Z [2022-11-23 01:28:24,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5650288Z [2022-11-23 01:28:24,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5650551Z [2022-11-23 01:28:24,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5650804Z [2022-11-23 01:28:24,335] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5651000Z [2022-11-23 01:28:24,335] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5651144Z  __compiled_fn_289 <eval_with_key>.1783 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5651240Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5651337Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5651516Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5651625Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:30.5651812Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5651914Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5651919Z 
2022-11-23T01:32:30.5652248Z [2022-11-23 01:28:24,335] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5652348Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5652448Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5652542Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5652644Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5652765Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5652862Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5652945Z              12 RETURN_VALUE
2022-11-23T01:32:30.5652951Z 
2022-11-23T01:32:30.5653041Z  
2022-11-23T01:32:30.5653366Z [2022-11-23 01:28:24,336] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5653485Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_289)
2022-11-23T01:32:30.5653583Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5653673Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5653757Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5653853Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5653947Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5654032Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5654126Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5654243Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5654373Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5654479Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5654576Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5654680Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5654790Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5654885Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5654968Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5655066Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5655158Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5655266Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5655362Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5655444Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5655556Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5655659Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5655766Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5655858Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5655940Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5656050Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5656131Z              54 RETURN_VALUE
2022-11-23T01:32:30.5656136Z 
2022-11-23T01:32:30.5656203Z  
2022-11-23T01:32:30.5656394Z [2022-11-23 01:28:24,337] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5656471Z  - 
2022-11-23T01:32:30.5656588Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5656659Z             {
2022-11-23T01:32:30.5656807Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5656999Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5657128Z                 'obj_weakref': None
2022-11-23T01:32:30.5657359Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5657429Z             }
2022-11-23T01:32:30.5657494Z             
2022-11-23T01:32:30.5657570Z  - 
2022-11-23T01:32:30.5657700Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5657770Z             {
2022-11-23T01:32:30.5657919Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5658034Z                 'code': None,
2022-11-23T01:32:30.5658246Z                 'obj_weakref': <weakref at 0x7f2023229f80; to 'Tensor' at 0x7f2115a7b790>
2022-11-23T01:32:30.5658494Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5658564Z             }
2022-11-23T01:32:30.5658631Z             
2022-11-23T01:32:30.5658707Z  - 
2022-11-23T01:32:30.5659041Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5659112Z             {
2022-11-23T01:32:30.5659312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5659420Z                 'code': None,
2022-11-23T01:32:30.5659631Z                 'obj_weakref': <weakref at 0x7f202322ade0; to 'Tensor' at 0x7f20232a5530>
2022-11-23T01:32:30.5659912Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5659984Z             }
2022-11-23T01:32:30.5660055Z             
2022-11-23T01:32:30.5660131Z  - 
2022-11-23T01:32:30.5660269Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5660331Z             {
2022-11-23T01:32:30.5660472Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5660648Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5660773Z                 'obj_weakref': None
2022-11-23T01:32:30.5661007Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5661085Z             }
2022-11-23T01:32:30.5661155Z             
2022-11-23T01:32:30.5661223Z  - 
2022-11-23T01:32:30.5661351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5661419Z             {
2022-11-23T01:32:30.5661564Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5661789Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5661912Z                 'obj_weakref': None
2022-11-23T01:32:30.5662138Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5662200Z             }
2022-11-23T01:32:30.5662270Z             
2022-11-23T01:32:30.5662345Z  - 
2022-11-23T01:32:30.5662530Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5662599Z             {
2022-11-23T01:32:30.5662772Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5663669Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:30.5663800Z                 'obj_weakref': None
2022-11-23T01:32:30.5664025Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5664088Z             }
2022-11-23T01:32:30.5664157Z             
2022-11-23T01:32:30.5664233Z  - 
2022-11-23T01:32:30.5664428Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5664500Z             {
2022-11-23T01:32:30.5664649Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5664933Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.5665060Z                 'obj_weakref': None
2022-11-23T01:32:30.5665275Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5665345Z             }
2022-11-23T01:32:30.5665414Z             
2022-11-23T01:32:30.5665490Z  - 
2022-11-23T01:32:30.5665678Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5665748Z             {
2022-11-23T01:32:30.5665896Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5666164Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:30.5666319Z                 'obj_weakref': None
2022-11-23T01:32:30.5666539Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5666610Z             }
2022-11-23T01:32:30.5666704Z             
2022-11-23T01:32:30.5666780Z  - 
2022-11-23T01:32:30.5666967Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5667029Z             {
2022-11-23T01:32:30.5667175Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5667449Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:30.5667576Z                 'obj_weakref': None
2022-11-23T01:32:30.5667794Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5667863Z             }
2022-11-23T01:32:30.5667932Z             
2022-11-23T01:32:30.5668001Z  - 
2022-11-23T01:32:30.5675181Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.5675270Z             {
2022-11-23T01:32:30.5675446Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5675732Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:30.5675859Z                 'obj_weakref': None
2022-11-23T01:32:30.5676078Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5676150Z             }
2022-11-23T01:32:30.5676212Z             
2022-11-23T01:32:30.5676289Z  - 
2022-11-23T01:32:30.5676475Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.5676544Z             {
2022-11-23T01:32:30.5676690Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5676961Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:30.5677085Z                 'obj_weakref': None
2022-11-23T01:32:30.5677292Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5677364Z             }
2022-11-23T01:32:30.5677435Z             
2022-11-23T01:32:30.5677515Z  - 
2022-11-23T01:32:30.5677703Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:30.5677772Z             {
2022-11-23T01:32:30.5677916Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5678175Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:30.5678298Z                 'obj_weakref': None
2022-11-23T01:32:30.5678511Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5678580Z             }
2022-11-23T01:32:30.5678652Z             
2022-11-23T01:32:30.5678916Z [2022-11-23 01:28:24,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281
2022-11-23T01:32:30.5679288Z [2022-11-23 01:28:24,358] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qk/cqkygxlzhcgwkddnihyuuzh6i33iahrosutrwzlce5jf27vz6xrp.py
2022-11-23T01:32:30.5679556Z [2022-11-23 01:28:24,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281
2022-11-23T01:32:30.5679789Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5680104Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5680323Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5680636Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5680918Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5681262Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5681602Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5681919Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5682292Z [2022-11-23 01:28:24,362] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5682400Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5682495Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5682598Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5682697Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5682795Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5682873Z              10 BINARY_ADD
2022-11-23T01:32:30.5682967Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5683048Z              14 RETURN_VALUE
2022-11-23T01:32:30.5683107Z  
2022-11-23T01:32:30.5683113Z 
2022-11-23T01:32:30.5683425Z [2022-11-23 01:28:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5683641Z [2022-11-23 01:28:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5683884Z [2022-11-23 01:28:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5684172Z [2022-11-23 01:28:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5684477Z [2022-11-23 01:28:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5684721Z [2022-11-23 01:28:24,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5684991Z [2022-11-23 01:28:24,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5685238Z [2022-11-23 01:28:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5685491Z [2022-11-23 01:28:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5685866Z [2022-11-23 01:28:24,365] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5686113Z [2022-11-23 01:28:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5686355Z [2022-11-23 01:28:24,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5686613Z [2022-11-23 01:28:24,366] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5686867Z [2022-11-23 01:28:24,369] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5687060Z [2022-11-23 01:28:24,369] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5687204Z  __compiled_fn_290 <eval_with_key>.1789 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5687300Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5687387Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5687526Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T01:32:30.5687712Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5687817Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5687823Z 
2022-11-23T01:32:30.5688180Z [2022-11-23 01:28:24,370] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5688282Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5688380Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5688474Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5688567Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5688659Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5688754Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5688835Z              12 RETURN_VALUE
2022-11-23T01:32:30.5688841Z 
2022-11-23T01:32:30.5688907Z  
2022-11-23T01:32:30.5689239Z [2022-11-23 01:28:24,370] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5689358Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_290)
2022-11-23T01:32:30.5689458Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5689548Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5689633Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5689728Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5689824Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5689904Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5689999Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5690110Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5690240Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5690345Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5690441Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5690547Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5690657Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5690758Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5690840Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5690925Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5691026Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5691132Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5691226Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5691307Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5691423Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5691521Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5691625Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5691716Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5691799Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5691907Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5691992Z              54 RETURN_VALUE
2022-11-23T01:32:30.5691997Z 
2022-11-23T01:32:30.5692061Z  
2022-11-23T01:32:30.5692252Z [2022-11-23 01:28:24,371] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5692329Z  - 
2022-11-23T01:32:30.5692445Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5692516Z             {
2022-11-23T01:32:30.5692662Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5692852Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5692976Z                 'obj_weakref': None
2022-11-23T01:32:30.5693201Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5693271Z             }
2022-11-23T01:32:30.5693333Z             
2022-11-23T01:32:30.5693450Z  - 
2022-11-23T01:32:30.5693580Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5693650Z             {
2022-11-23T01:32:30.5693799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5693935Z                 'code': None,
2022-11-23T01:32:30.5694148Z                 'obj_weakref': <weakref at 0x7f2060138400; to 'Tensor' at 0x7f212794b6a0>
2022-11-23T01:32:30.5694392Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5694461Z             }
2022-11-23T01:32:30.5694529Z             
2022-11-23T01:32:30.5694604Z  - 
2022-11-23T01:32:30.5694731Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5694802Z             {
2022-11-23T01:32:30.5694947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5695050Z                 'code': None,
2022-11-23T01:32:30.5695258Z                 'obj_weakref': <weakref at 0x7f20727c13f0; to 'Tensor' at 0x7f21159e8ea0>
2022-11-23T01:32:30.5695505Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5695574Z             }
2022-11-23T01:32:30.5695641Z             
2022-11-23T01:32:30.5695722Z  - 
2022-11-23T01:32:30.5695855Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5695915Z             {
2022-11-23T01:32:30.5696054Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5696230Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5696353Z                 'obj_weakref': None
2022-11-23T01:32:30.5696582Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5696652Z             }
2022-11-23T01:32:30.5696720Z             
2022-11-23T01:32:30.5696787Z  - 
2022-11-23T01:32:30.5696913Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5696980Z             {
2022-11-23T01:32:30.5697119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5697338Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5697461Z                 'obj_weakref': None
2022-11-23T01:32:30.5697692Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5697754Z             }
2022-11-23T01:32:30.5697821Z             
2022-11-23T01:32:30.5697894Z  - 
2022-11-23T01:32:30.5698075Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5698145Z             {
2022-11-23T01:32:30.5698319Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5699101Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:30.5699230Z                 'obj_weakref': None
2022-11-23T01:32:30.5699442Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5699516Z             }
2022-11-23T01:32:30.5699588Z             
2022-11-23T01:32:30.5699664Z  - 
2022-11-23T01:32:30.5699855Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5699924Z             {
2022-11-23T01:32:30.5700073Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5700346Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5700470Z                 'obj_weakref': None
2022-11-23T01:32:30.5700688Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5700811Z             }
2022-11-23T01:32:30.5700881Z             
2022-11-23T01:32:30.5700957Z  - 
2022-11-23T01:32:30.5701145Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5701262Z             {
2022-11-23T01:32:30.5701410Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5701687Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:30.5701813Z                 'obj_weakref': None
2022-11-23T01:32:30.5702030Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5702098Z             }
2022-11-23T01:32:30.5702166Z             
2022-11-23T01:32:30.5702240Z  - 
2022-11-23T01:32:30.5702417Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5702486Z             {
2022-11-23T01:32:30.5702632Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5702951Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:30.5703081Z                 'obj_weakref': None
2022-11-23T01:32:30.5703295Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5703365Z             }
2022-11-23T01:32:30.5703426Z             
2022-11-23T01:32:30.5703693Z [2022-11-23 01:28:24,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282
2022-11-23T01:32:30.5703699Z 
2022-11-23T01:32:30.5703799Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5703874Z import torch
2022-11-23T01:32:30.5703948Z import random
2022-11-23T01:32:30.5704069Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5704201Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5704206Z 
2022-11-23T01:32:30.5704290Z aten = torch.ops.aten
2022-11-23T01:32:30.5704425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5704523Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5704529Z 
2022-11-23T01:32:30.5704602Z import triton
2022-11-23T01:32:30.5704698Z import triton.language as tl
2022-11-23T01:32:30.5704825Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5704969Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5704975Z 
2022-11-23T01:32:30.5704980Z 
2022-11-23T01:32:30.5705117Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5705330Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5705449Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5705562Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5705669Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5705736Z {
2022-11-23T01:32:30.5705841Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5705908Z     {
2022-11-23T01:32:30.5705991Z         #pragma omp for 
2022-11-23T01:32:30.5706073Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.5706147Z         {
2022-11-23T01:32:30.5706305Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5706446Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5706590Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5706680Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5706769Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5706859Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5706927Z         }
2022-11-23T01:32:30.5707028Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5707121Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.5707190Z         {
2022-11-23T01:32:30.5707320Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5707412Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5707510Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5707599Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5707713Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5707799Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5707867Z         }
2022-11-23T01:32:30.5707933Z     }
2022-11-23T01:32:30.5707999Z }
2022-11-23T01:32:30.5708078Z ''')
2022-11-23T01:32:30.5708083Z 
2022-11-23T01:32:30.5708088Z 
2022-11-23T01:32:30.5708184Z async_compile.wait(globals())
2022-11-23T01:32:30.5708262Z del async_compile
2022-11-23T01:32:30.5708267Z 
2022-11-23T01:32:30.5708343Z def call(args):
2022-11-23T01:32:30.5708424Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5708500Z     args.clear()
2022-11-23T01:32:30.5708741Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5708917Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5708985Z     del arg0_1
2022-11-23T01:32:30.5709056Z     del arg1_1
2022-11-23T01:32:30.5709132Z     return (buf0, )
2022-11-23T01:32:30.5709144Z 
2022-11-23T01:32:30.5709149Z 
2022-11-23T01:32:30.5709232Z if __name__ == "__main__":
2022-11-23T01:32:30.5709352Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5709482Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5709683Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5709911Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5710035Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5710041Z 
2022-11-23T01:32:30.5710045Z 
2022-11-23T01:32:30.5710145Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5710219Z import torch
2022-11-23T01:32:30.5710374Z import random
2022-11-23T01:32:30.5710520Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5710670Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5710675Z 
2022-11-23T01:32:30.5710764Z aten = torch.ops.aten
2022-11-23T01:32:30.5710898Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5710993Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5710999Z 
2022-11-23T01:32:30.5711074Z import triton
2022-11-23T01:32:30.5711167Z import triton.language as tl
2022-11-23T01:32:30.5711296Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5711441Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5711447Z 
2022-11-23T01:32:30.5711451Z 
2022-11-23T01:32:30.5711594Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5711808Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5711932Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5712043Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5712150Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5712220Z {
2022-11-23T01:32:30.5712322Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5712390Z     {
2022-11-23T01:32:30.5712472Z         #pragma omp for 
2022-11-23T01:32:30.5712553Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.5712620Z         {
2022-11-23T01:32:30.5712761Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5712901Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5712996Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5713094Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5713162Z         }
2022-11-23T01:32:30.5713262Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5713347Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.5713451Z         {
2022-11-23T01:32:30.5713546Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5713635Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5713724Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5713835Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5713895Z         }
2022-11-23T01:32:30.5713964Z     }
2022-11-23T01:32:30.5714028Z }
2022-11-23T01:32:30.5714116Z ''')
2022-11-23T01:32:30.5714122Z 
2022-11-23T01:32:30.5714127Z 
2022-11-23T01:32:30.5714219Z async_compile.wait(globals())
2022-11-23T01:32:30.5714297Z del async_compile
2022-11-23T01:32:30.5714302Z 
2022-11-23T01:32:30.5714379Z def call(args):
2022-11-23T01:32:30.5714460Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5714527Z     args.clear()
2022-11-23T01:32:30.5714762Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5714935Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5715012Z     del arg0_1
2022-11-23T01:32:30.5715082Z     del arg1_1
2022-11-23T01:32:30.5715163Z     return (buf0, )
2022-11-23T01:32:30.5715168Z 
2022-11-23T01:32:30.5715173Z 
2022-11-23T01:32:30.5715259Z if __name__ == "__main__":
2022-11-23T01:32:30.5715372Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5715505Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5715725Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5715961Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5716083Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5716089Z 
2022-11-23T01:32:30.5716094Z 
2022-11-23T01:32:30.5716192Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5716290Z import torch
2022-11-23T01:32:30.5716392Z import random
2022-11-23T01:32:30.5716548Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5716730Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5716738Z 
2022-11-23T01:32:30.5716862Z aten = torch.ops.aten
2022-11-23T01:32:30.5717071Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5717214Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5717222Z 
2022-11-23T01:32:30.5717333Z import triton
2022-11-23T01:32:30.5717470Z import triton.language as tl
2022-11-23T01:32:30.5717656Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5717854Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5717863Z 
2022-11-23T01:32:30.5717878Z 
2022-11-23T01:32:30.5718081Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5718382Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5718566Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5718731Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5718883Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5718986Z {
2022-11-23T01:32:30.5719137Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5719231Z     {
2022-11-23T01:32:30.5719353Z         #pragma omp for 
2022-11-23T01:32:30.5719482Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.5719583Z         {
2022-11-23T01:32:30.5719788Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5719990Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5720190Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5720314Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5720445Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5720586Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5720688Z         }
2022-11-23T01:32:30.5720889Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5721024Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.5721124Z         {
2022-11-23T01:32:30.5721246Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5721406Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5721559Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5721693Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5721822Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5721948Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5722048Z         }
2022-11-23T01:32:30.5722137Z     }
2022-11-23T01:32:30.5722237Z }
2022-11-23T01:32:30.5722367Z ''')
2022-11-23T01:32:30.5722375Z 
2022-11-23T01:32:30.5722382Z 
2022-11-23T01:32:30.5722536Z async_compile.wait(globals())
2022-11-23T01:32:30.5722664Z del async_compile
2022-11-23T01:32:30.5722672Z 
2022-11-23T01:32:30.5722792Z def call(args):
2022-11-23T01:32:30.5722926Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5723052Z     args.clear()
2022-11-23T01:32:30.5723402Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5723646Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5723760Z     del arg0_1
2022-11-23T01:32:30.5723866Z     del arg1_1
2022-11-23T01:32:30.5723979Z     return (buf0, )
2022-11-23T01:32:30.5723987Z 
2022-11-23T01:32:30.5723994Z 
2022-11-23T01:32:30.5724113Z if __name__ == "__main__":
2022-11-23T01:32:30.5724288Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5724468Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5724786Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5725129Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5725313Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5725321Z 
2022-11-23T01:32:30.5725870Z [2022-11-23 01:28:25,922] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ms/cmsizezpv6xzedkf5mw2pforvc7zkrgw26vpdlxhzxcq5detop2n.py
2022-11-23T01:32:30.5726272Z [2022-11-23 01:28:25,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282
2022-11-23T01:32:30.5726628Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5727093Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5727417Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5727785Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5728201Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5728674Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5729186Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5729663Z [2022-11-23 01:28:25,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5730207Z [2022-11-23 01:28:25,927] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5730350Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5730491Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5730648Z               4 BINARY_ADD
2022-11-23T01:32:30.5730786Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5730929Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5731094Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5731234Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5731349Z              14 BINARY_ADD
2022-11-23T01:32:30.5731486Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5731605Z              18 RETURN_VALUE
2022-11-23T01:32:30.5731696Z  
2022-11-23T01:32:30.5731711Z 
2022-11-23T01:32:30.5732172Z [2022-11-23 01:28:25,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5732515Z [2022-11-23 01:28:25,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5732924Z [2022-11-23 01:28:25,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5733351Z [2022-11-23 01:28:25,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5733715Z [2022-11-23 01:28:25,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5734140Z [2022-11-23 01:28:25,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5734590Z [2022-11-23 01:28:25,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5734945Z [2022-11-23 01:28:25,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5735353Z [2022-11-23 01:28:25,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5735712Z [2022-11-23 01:28:25,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5736080Z [2022-11-23 01:28:25,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5736632Z [2022-11-23 01:28:25,930] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5737009Z [2022-11-23 01:28:25,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5737361Z [2022-11-23 01:28:25,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5737745Z [2022-11-23 01:28:25,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5738117Z [2022-11-23 01:28:25,934] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5738409Z [2022-11-23 01:28:25,935] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5738616Z  __compiled_fn_291 <eval_with_key>.1795 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5738748Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5739066Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5739341Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5739487Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T01:32:30.5739762Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5739914Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5739923Z 
2022-11-23T01:32:30.5740411Z [2022-11-23 01:28:25,935] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5740557Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5740689Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5740824Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5741057Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5741194Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5741333Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5741489Z              12 RETURN_VALUE
2022-11-23T01:32:30.5741497Z 
2022-11-23T01:32:30.5741598Z  
2022-11-23T01:32:30.5742092Z [2022-11-23 01:28:25,935] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5742253Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_291)
2022-11-23T01:32:30.5742395Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5742535Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5742658Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5742797Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5742936Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5743061Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5743191Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5743359Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5743563Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5743716Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5743855Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5744003Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5744161Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5744290Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5744412Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5744550Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5744695Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5744847Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5744992Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5745113Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5745271Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5745408Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5745559Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5745696Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5745817Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5745975Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5746095Z              54 RETURN_VALUE
2022-11-23T01:32:30.5746103Z 
2022-11-23T01:32:30.5746201Z  
2022-11-23T01:32:30.5746473Z [2022-11-23 01:28:25,936] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5746588Z  - 
2022-11-23T01:32:30.5746774Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5746877Z             {
2022-11-23T01:32:30.5747094Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5747384Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5747571Z                 'obj_weakref': None
2022-11-23T01:32:30.5747894Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5748003Z             }
2022-11-23T01:32:30.5748105Z             
2022-11-23T01:32:30.5748220Z  - 
2022-11-23T01:32:30.5748415Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5748519Z             {
2022-11-23T01:32:30.5748740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5748900Z                 'code': None,
2022-11-23T01:32:30.5749210Z                 'obj_weakref': <weakref at 0x7f2068081b70; to 'Tensor' at 0x7f212794b6a0>
2022-11-23T01:32:30.5749580Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5749684Z             }
2022-11-23T01:32:30.5749787Z             
2022-11-23T01:32:30.5749951Z  - 
2022-11-23T01:32:30.5750144Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5750238Z             {
2022-11-23T01:32:30.5750543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5750751Z                 'code': None,
2022-11-23T01:32:30.5751057Z                 'obj_weakref': <weakref at 0x7f20681b6e30; to 'Tensor' at 0x7f20601390d0>
2022-11-23T01:32:30.5751419Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5751522Z             }
2022-11-23T01:32:30.5751624Z             
2022-11-23T01:32:30.5751728Z  - 
2022-11-23T01:32:30.5751930Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5752032Z             {
2022-11-23T01:32:30.5752239Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5752497Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5752684Z                 'obj_weakref': None
2022-11-23T01:32:30.5753028Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5753122Z             }
2022-11-23T01:32:30.5753224Z             
2022-11-23T01:32:30.5753340Z  - 
2022-11-23T01:32:30.5753532Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5753633Z             {
2022-11-23T01:32:30.5753841Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5754166Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5754342Z                 'obj_weakref': None
2022-11-23T01:32:30.5754673Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5754776Z             }
2022-11-23T01:32:30.5754877Z             
2022-11-23T01:32:30.5754992Z  - 
2022-11-23T01:32:30.5755263Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5755365Z             {
2022-11-23T01:32:30.5755613Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5756529Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:30.5756721Z                 'obj_weakref': None
2022-11-23T01:32:30.5757054Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5757161Z             }
2022-11-23T01:32:30.5757262Z             
2022-11-23T01:32:30.5757375Z  - 
2022-11-23T01:32:30.5757654Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5757748Z             {
2022-11-23T01:32:30.5757969Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5758385Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5758576Z                 'obj_weakref': None
2022-11-23T01:32:30.5758900Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5759004Z             }
2022-11-23T01:32:30.5759107Z             
2022-11-23T01:32:30.5759211Z  - 
2022-11-23T01:32:30.5759489Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5759591Z             {
2022-11-23T01:32:30.5759807Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5760219Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:30.5760403Z                 'obj_weakref': None
2022-11-23T01:32:30.5760763Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5760871Z             }
2022-11-23T01:32:30.5760963Z             
2022-11-23T01:32:30.5761079Z  - 
2022-11-23T01:32:30.5761384Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.5761486Z             {
2022-11-23T01:32:30.5761704Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5762113Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:30.5762320Z                 'obj_weakref': None
2022-11-23T01:32:30.5762653Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5762754Z             }
2022-11-23T01:32:30.5762859Z             
2022-11-23T01:32:30.5763249Z [2022-11-23 01:28:25,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283
2022-11-23T01:32:30.5763798Z [2022-11-23 01:28:27,484] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zj/czj4ryo4fhkb7istrsbe7hhxueibatqxvzqj4fkjlokejlfdvxcg.py
2022-11-23T01:32:30.5764193Z [2022-11-23 01:28:27,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283
2022-11-23T01:32:30.5764554Z [2022-11-23 01:28:27,487] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5765025Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5765352Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5765725Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5766145Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5766624Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5767142Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5767620Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5768177Z [2022-11-23 01:28:27,488] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5768321Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5768467Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5768614Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5768747Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5768890Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5769007Z              10 BINARY_ADD
2022-11-23T01:32:30.5769148Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5769274Z              14 RETURN_VALUE
2022-11-23T01:32:30.5769376Z  
2022-11-23T01:32:30.5769384Z 
2022-11-23T01:32:30.5769853Z [2022-11-23 01:28:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5770170Z [2022-11-23 01:28:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5770524Z [2022-11-23 01:28:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5770946Z [2022-11-23 01:28:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5771437Z [2022-11-23 01:28:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5771798Z [2022-11-23 01:28:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5772235Z [2022-11-23 01:28:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5772600Z [2022-11-23 01:28:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5772974Z [2022-11-23 01:28:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5773529Z [2022-11-23 01:28:27,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5773900Z [2022-11-23 01:28:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5774253Z [2022-11-23 01:28:27,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5774623Z [2022-11-23 01:28:27,492] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5775000Z [2022-11-23 01:28:27,495] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5775289Z [2022-11-23 01:28:27,495] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5775496Z  __compiled_fn_292 <eval_with_key>.1801 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5775636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5775776Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5775923Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T01:32:30.5776185Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5776339Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5776351Z 
2022-11-23T01:32:30.5776835Z [2022-11-23 01:28:27,496] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5776984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5777128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5777267Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5777412Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5777547Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5777678Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5777798Z              12 RETURN_VALUE
2022-11-23T01:32:30.5777806Z 
2022-11-23T01:32:30.5777904Z  
2022-11-23T01:32:30.5778390Z [2022-11-23 01:28:27,496] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5778564Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_292)
2022-11-23T01:32:30.5778707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5779019Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5779152Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5779282Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5779421Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5779540Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5779678Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5779841Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5780041Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5780191Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5780320Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5780470Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5780694Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5780839Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5780961Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5781096Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5781277Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5781433Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5781561Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5781682Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5781839Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5781981Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5782134Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5782275Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5782396Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5782543Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5782666Z              54 RETURN_VALUE
2022-11-23T01:32:30.5782675Z 
2022-11-23T01:32:30.5782774Z  
2022-11-23T01:32:30.5783068Z [2022-11-23 01:28:27,497] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5783188Z  - 
2022-11-23T01:32:30.5783373Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5783476Z             {
2022-11-23T01:32:30.5783684Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5783964Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5784149Z                 'obj_weakref': None
2022-11-23T01:32:30.5784480Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5784585Z             }
2022-11-23T01:32:30.5784688Z             
2022-11-23T01:32:30.5784802Z  - 
2022-11-23T01:32:30.5784985Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5785089Z             {
2022-11-23T01:32:30.5785311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5785479Z                 'code': None,
2022-11-23T01:32:30.5785792Z                 'obj_weakref': <weakref at 0x7f21279baca0; to 'Tensor' at 0x7f212794b6a0>
2022-11-23T01:32:30.5786166Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5786270Z             }
2022-11-23T01:32:30.5786364Z             
2022-11-23T01:32:30.5786476Z  - 
2022-11-23T01:32:30.5786668Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5786770Z             {
2022-11-23T01:32:30.5786986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5787156Z                 'code': None,
2022-11-23T01:32:30.5787460Z                 'obj_weakref': <weakref at 0x7f2023140fe0; to 'Tensor' at 0x7f2022f33100>
2022-11-23T01:32:30.5787810Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5787915Z             }
2022-11-23T01:32:30.5788023Z             
2022-11-23T01:32:30.5788136Z  - 
2022-11-23T01:32:30.5788339Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5788447Z             {
2022-11-23T01:32:30.5788653Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5788906Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5789093Z                 'obj_weakref': None
2022-11-23T01:32:30.5789431Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5789534Z             }
2022-11-23T01:32:30.5789636Z             
2022-11-23T01:32:30.5789749Z  - 
2022-11-23T01:32:30.5789938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5790031Z             {
2022-11-23T01:32:30.5790329Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5790658Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5790890Z                 'obj_weakref': None
2022-11-23T01:32:30.5791223Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5791328Z             }
2022-11-23T01:32:30.5791461Z             
2022-11-23T01:32:30.5791565Z  - 
2022-11-23T01:32:30.5791838Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5791942Z             {
2022-11-23T01:32:30.5792219Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5792857Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:30.5793041Z                 'obj_weakref': None
2022-11-23T01:32:30.5793368Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5793469Z             }
2022-11-23T01:32:30.5793565Z             
2022-11-23T01:32:30.5793678Z  - 
2022-11-23T01:32:30.5793957Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5794058Z             {
2022-11-23T01:32:30.5794277Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5794693Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5794876Z                 'obj_weakref': None
2022-11-23T01:32:30.5795186Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5795292Z             }
2022-11-23T01:32:30.5795393Z             
2022-11-23T01:32:30.5795780Z [2022-11-23 01:28:27,501] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284
2022-11-23T01:32:30.5796328Z [2022-11-23 01:28:29,047] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yx/cyxohya3dtucwou2rtg6k7e3lwlkjyeaqvqwp7hajiziljz5tixt.py
2022-11-23T01:32:30.5796719Z [2022-11-23 01:28:29,047] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284
2022-11-23T01:32:30.5797077Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5797546Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5797871Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5798240Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5798652Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5799130Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5799639Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5800122Z [2022-11-23 01:28:29,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5800666Z [2022-11-23 01:28:29,052] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5800809Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5800951Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5801068Z               4 BINARY_ADD
2022-11-23T01:32:30.5801206Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5801388Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5801526Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5801666Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5801781Z              14 BINARY_ADD
2022-11-23T01:32:30.5801950Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5802073Z              18 RETURN_VALUE
2022-11-23T01:32:30.5802162Z  
2022-11-23T01:32:30.5802171Z 
2022-11-23T01:32:30.5802638Z [2022-11-23 01:28:29,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5802954Z [2022-11-23 01:28:29,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5803312Z [2022-11-23 01:28:29,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5803729Z [2022-11-23 01:28:29,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5804093Z [2022-11-23 01:28:29,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5804512Z [2022-11-23 01:28:29,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5804971Z [2022-11-23 01:28:29,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5805325Z [2022-11-23 01:28:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5805731Z [2022-11-23 01:28:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5806082Z [2022-11-23 01:28:29,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5806449Z [2022-11-23 01:28:29,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5807008Z [2022-11-23 01:28:29,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5807381Z [2022-11-23 01:28:29,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5807731Z [2022-11-23 01:28:29,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5808111Z [2022-11-23 01:28:29,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5808486Z [2022-11-23 01:28:29,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5808773Z [2022-11-23 01:28:29,059] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5808980Z  __compiled_fn_293 <eval_with_key>.1807 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5809114Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5809252Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5809515Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5809663Z call_method, view, view, (add, [10]), {}
2022-11-23T01:32:30.5809942Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5810091Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5810100Z 
2022-11-23T01:32:30.5810588Z [2022-11-23 01:28:29,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5810734Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5810865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5811001Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5811145Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5811279Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5811459Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5811583Z              12 RETURN_VALUE
2022-11-23T01:32:30.5811591Z 
2022-11-23T01:32:30.5811690Z  
2022-11-23T01:32:30.5812164Z [2022-11-23 01:28:29,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5812362Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_293)
2022-11-23T01:32:30.5812502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5812643Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5812764Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5812901Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5813038Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5813158Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5813287Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5813448Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5813654Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5813803Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5813945Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5814097Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5814256Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5814384Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5814504Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5814639Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5814782Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5814935Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5815076Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5815196Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5815351Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5815494Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5815647Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5815783Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5815911Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5816067Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5816185Z              54 RETURN_VALUE
2022-11-23T01:32:30.5816194Z 
2022-11-23T01:32:30.5816283Z  
2022-11-23T01:32:30.5816564Z [2022-11-23 01:28:29,061] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5816680Z  - 
2022-11-23T01:32:30.5816866Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5816968Z             {
2022-11-23T01:32:30.5817186Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5817465Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5817639Z                 'obj_weakref': None
2022-11-23T01:32:30.5817974Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5818080Z             }
2022-11-23T01:32:30.5818187Z             
2022-11-23T01:32:30.5818304Z  - 
2022-11-23T01:32:30.5818496Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5818596Z             {
2022-11-23T01:32:30.5818953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5819132Z                 'code': None,
2022-11-23T01:32:30.5819446Z                 'obj_weakref': <weakref at 0x7f2022eeaca0; to 'Tensor' at 0x7f212794b6a0>
2022-11-23T01:32:30.5819814Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5819916Z             }
2022-11-23T01:32:30.5820019Z             
2022-11-23T01:32:30.5820134Z  - 
2022-11-23T01:32:30.5820314Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5820416Z             {
2022-11-23T01:32:30.5820710Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5820880Z                 'code': None,
2022-11-23T01:32:30.5821186Z                 'obj_weakref': <weakref at 0x7f2022eeb2e0; to 'Tensor' at 0x7f21159c33d0>
2022-11-23T01:32:30.5821580Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5821682Z             }
2022-11-23T01:32:30.5821783Z             
2022-11-23T01:32:30.5821885Z  - 
2022-11-23T01:32:30.5822085Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5822189Z             {
2022-11-23T01:32:30.5822394Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5822649Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5822833Z                 'obj_weakref': None
2022-11-23T01:32:30.5823169Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5823263Z             }
2022-11-23T01:32:30.5823365Z             
2022-11-23T01:32:30.5823479Z  - 
2022-11-23T01:32:30.5823668Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5823770Z             {
2022-11-23T01:32:30.5823979Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5824300Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5824483Z                 'obj_weakref': None
2022-11-23T01:32:30.5824811Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5824914Z             }
2022-11-23T01:32:30.5825015Z             
2022-11-23T01:32:30.5825126Z  - 
2022-11-23T01:32:30.5825393Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5825485Z             {
2022-11-23T01:32:30.5825739Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5826374Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:30.5826558Z                 'obj_weakref': None
2022-11-23T01:32:30.5826888Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5826990Z             }
2022-11-23T01:32:30.5827091Z             
2022-11-23T01:32:30.5827202Z  - 
2022-11-23T01:32:30.5827472Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5827576Z             {
2022-11-23T01:32:30.5827795Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5828210Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5828392Z                 'obj_weakref': None
2022-11-23T01:32:30.5828714Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5828817Z             }
2022-11-23T01:32:30.5828917Z             
2022-11-23T01:32:30.5829293Z [2022-11-23 01:28:29,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285
2022-11-23T01:32:30.5829305Z 
2022-11-23T01:32:30.5829452Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5829563Z import torch
2022-11-23T01:32:30.5829674Z import random
2022-11-23T01:32:30.5829851Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5830039Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5830047Z 
2022-11-23T01:32:30.5830169Z aten = torch.ops.aten
2022-11-23T01:32:30.5830467Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5830616Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5830624Z 
2022-11-23T01:32:30.5830736Z import triton
2022-11-23T01:32:30.5830876Z import triton.language as tl
2022-11-23T01:32:30.5831107Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5831320Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5831329Z 
2022-11-23T01:32:30.5831336Z 
2022-11-23T01:32:30.5831574Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5831880Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5832056Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5832242Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5832420Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5832524Z {
2022-11-23T01:32:30.5832675Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5832774Z     {
2022-11-23T01:32:30.5832895Z         #pragma omp for 
2022-11-23T01:32:30.5833017Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.5833119Z         {
2022-11-23T01:32:30.5833335Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5833540Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5833672Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5833820Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5833920Z         }
2022-11-23T01:32:30.5834058Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5834192Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.5834294Z         {
2022-11-23T01:32:30.5834426Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5834557Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5834688Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5834814Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5834906Z         }
2022-11-23T01:32:30.5835004Z     }
2022-11-23T01:32:30.5835101Z }
2022-11-23T01:32:30.5835229Z ''')
2022-11-23T01:32:30.5835237Z 
2022-11-23T01:32:30.5835244Z 
2022-11-23T01:32:30.5835384Z async_compile.wait(globals())
2022-11-23T01:32:30.5835504Z del async_compile
2022-11-23T01:32:30.5835512Z 
2022-11-23T01:32:30.5835624Z def call(args):
2022-11-23T01:32:30.5835743Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5835846Z     args.clear()
2022-11-23T01:32:30.5836168Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5836414Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5836522Z     del arg0_1
2022-11-23T01:32:30.5836629Z     del arg1_1
2022-11-23T01:32:30.5836742Z     return (buf0, )
2022-11-23T01:32:30.5836750Z 
2022-11-23T01:32:30.5836756Z 
2022-11-23T01:32:30.5836874Z if __name__ == "__main__":
2022-11-23T01:32:30.5837041Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5837231Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5837529Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5837843Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5838021Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5838029Z 
2022-11-23T01:32:30.5838036Z 
2022-11-23T01:32:30.5838188Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5838299Z import torch
2022-11-23T01:32:30.5838410Z import random
2022-11-23T01:32:30.5838577Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5838762Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5838770Z 
2022-11-23T01:32:30.5838893Z aten = torch.ops.aten
2022-11-23T01:32:30.5839098Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5839242Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5839250Z 
2022-11-23T01:32:30.5839362Z import triton
2022-11-23T01:32:30.5839500Z import triton.language as tl
2022-11-23T01:32:30.5839687Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5839927Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5839936Z 
2022-11-23T01:32:30.5839943Z 
2022-11-23T01:32:30.5840152Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5840459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5840674Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5840833Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5840987Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5841087Z {
2022-11-23T01:32:30.5841229Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5841330Z     {
2022-11-23T01:32:30.5841453Z         #pragma omp for 
2022-11-23T01:32:30.5841583Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.5841684Z         {
2022-11-23T01:32:30.5841889Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5842095Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5842299Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5842423Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5842559Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5842701Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5842802Z         }
2022-11-23T01:32:30.5842950Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5843082Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.5843184Z         {
2022-11-23T01:32:30.5843307Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5843440Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5843593Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5843726Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5843857Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5843983Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5844084Z         }
2022-11-23T01:32:30.5844174Z     }
2022-11-23T01:32:30.5844275Z }
2022-11-23T01:32:30.5844405Z ''')
2022-11-23T01:32:30.5844413Z 
2022-11-23T01:32:30.5844420Z 
2022-11-23T01:32:30.5844558Z async_compile.wait(globals())
2022-11-23T01:32:30.5844674Z del async_compile
2022-11-23T01:32:30.5844686Z 
2022-11-23T01:32:30.5844799Z def call(args):
2022-11-23T01:32:30.5844916Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5845019Z     args.clear()
2022-11-23T01:32:30.5845330Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5845573Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5845680Z     del arg0_1
2022-11-23T01:32:30.5845786Z     del arg1_1
2022-11-23T01:32:30.5845899Z     return (buf0, )
2022-11-23T01:32:30.5845907Z 
2022-11-23T01:32:30.5845914Z 
2022-11-23T01:32:30.5846034Z if __name__ == "__main__":
2022-11-23T01:32:30.5846209Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5846393Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5846692Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5847000Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5847179Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5847186Z 
2022-11-23T01:32:30.5847194Z 
2022-11-23T01:32:30.5847343Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5847452Z import torch
2022-11-23T01:32:30.5847563Z import random
2022-11-23T01:32:30.5847732Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5847917Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5847925Z 
2022-11-23T01:32:30.5848049Z aten = torch.ops.aten
2022-11-23T01:32:30.5848251Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5848394Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5848402Z 
2022-11-23T01:32:30.5848512Z import triton
2022-11-23T01:32:30.5848719Z import triton.language as tl
2022-11-23T01:32:30.5848909Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5849109Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5849144Z 
2022-11-23T01:32:30.5849160Z 
2022-11-23T01:32:30.5849357Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5849660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5849845Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5850006Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5850159Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5850258Z {
2022-11-23T01:32:30.5850410Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5850501Z     {
2022-11-23T01:32:30.5850623Z         #pragma omp for 
2022-11-23T01:32:30.5850752Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.5850857Z         {
2022-11-23T01:32:30.5851063Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5851263Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5851400Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5851533Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5851636Z         }
2022-11-23T01:32:30.5851783Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5851911Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:30.5852014Z         {
2022-11-23T01:32:30.5852146Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5852275Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5852396Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5852522Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5852622Z         }
2022-11-23T01:32:30.5852721Z     }
2022-11-23T01:32:30.5852818Z }
2022-11-23T01:32:30.5852946Z ''')
2022-11-23T01:32:30.5852954Z 
2022-11-23T01:32:30.5852961Z 
2022-11-23T01:32:30.5853103Z async_compile.wait(globals())
2022-11-23T01:32:30.5853210Z del async_compile
2022-11-23T01:32:30.5853218Z 
2022-11-23T01:32:30.5853330Z def call(args):
2022-11-23T01:32:30.5853452Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5853565Z     args.clear()
2022-11-23T01:32:30.5853855Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5854097Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5854205Z     del arg0_1
2022-11-23T01:32:30.5854303Z     del arg1_1
2022-11-23T01:32:30.5854415Z     return (buf0, )
2022-11-23T01:32:30.5854423Z 
2022-11-23T01:32:30.5854430Z 
2022-11-23T01:32:30.5854550Z if __name__ == "__main__":
2022-11-23T01:32:30.5854725Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5854916Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5855227Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5855514Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5855692Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5855704Z 
2022-11-23T01:32:30.5856231Z [2022-11-23 01:28:30,614] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/cktnn2ilz4hvkwpevq6thqjetrzp3h63u4be5wqcpzwv2aunlsbc.py
2022-11-23T01:32:30.5856625Z [2022-11-23 01:28:30,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285
2022-11-23T01:32:30.5856978Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5857443Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5857770Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5858188Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5858603Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5859273Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5859789Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5860264Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5860820Z [2022-11-23 01:28:30,618] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5860955Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5861102Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5861256Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5861395Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5861535Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5861651Z              10 BINARY_ADD
2022-11-23T01:32:30.5861789Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5861899Z              14 RETURN_VALUE
2022-11-23T01:32:30.5862003Z  
2022-11-23T01:32:30.5862011Z 
2022-11-23T01:32:30.5862528Z [2022-11-23 01:28:30,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5862844Z [2022-11-23 01:28:30,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5863205Z [2022-11-23 01:28:30,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5863624Z [2022-11-23 01:28:30,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5864078Z [2022-11-23 01:28:30,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5864432Z [2022-11-23 01:28:30,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5864835Z [2022-11-23 01:28:30,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5865186Z [2022-11-23 01:28:30,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5865557Z [2022-11-23 01:28:30,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5866111Z [2022-11-23 01:28:30,621] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5866476Z [2022-11-23 01:28:30,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5866827Z [2022-11-23 01:28:30,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5867202Z [2022-11-23 01:28:30,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5867575Z [2022-11-23 01:28:30,625] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5867858Z [2022-11-23 01:28:30,625] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5868064Z  __compiled_fn_294 <eval_with_key>.1813 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5868194Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5868402Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5868560Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T01:32:30.5868830Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5869012Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5869021Z 
2022-11-23T01:32:30.5869504Z [2022-11-23 01:28:30,625] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5869650Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5869790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5869916Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5870060Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5870194Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5870416Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5870542Z              12 RETURN_VALUE
2022-11-23T01:32:30.5870550Z 
2022-11-23T01:32:30.5870654Z  
2022-11-23T01:32:30.5871136Z [2022-11-23 01:28:30,626] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5871309Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_294)
2022-11-23T01:32:30.5871439Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5871584Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5871704Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5871844Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5871982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5872101Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5872238Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5872391Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5872587Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5872739Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5872875Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5873023Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5873188Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5873328Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5873439Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5873575Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5873719Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5873871Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5874007Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5874126Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5874284Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5874427Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5874573Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5874710Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5874829Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5874990Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5875109Z              54 RETURN_VALUE
2022-11-23T01:32:30.5875117Z 
2022-11-23T01:32:30.5875216Z  
2022-11-23T01:32:30.5875494Z [2022-11-23 01:28:30,627] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5875599Z  - 
2022-11-23T01:32:30.5875782Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5875885Z             {
2022-11-23T01:32:30.5876100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5876377Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5876567Z                 'obj_weakref': None
2022-11-23T01:32:30.5876899Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5877044Z             }
2022-11-23T01:32:30.5877149Z             
2022-11-23T01:32:30.5877264Z  - 
2022-11-23T01:32:30.5877455Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5877556Z             {
2022-11-23T01:32:30.5877803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5877972Z                 'code': None,
2022-11-23T01:32:30.5878274Z                 'obj_weakref': <weakref at 0x7f20727a68e0; to 'Tensor' at 0x7f21159c33d0>
2022-11-23T01:32:30.5878640Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5878743Z             }
2022-11-23T01:32:30.5878845Z             
2022-11-23T01:32:30.5878957Z  - 
2022-11-23T01:32:30.5879145Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5879247Z             {
2022-11-23T01:32:30.5879453Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5879619Z                 'code': None,
2022-11-23T01:32:30.5879929Z                 'obj_weakref': <weakref at 0x7f20680830b0; to 'Tensor' at 0x7f21159b68e0>
2022-11-23T01:32:30.5880285Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5880392Z             }
2022-11-23T01:32:30.5880492Z             
2022-11-23T01:32:30.5880603Z  - 
2022-11-23T01:32:30.5880793Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5880895Z             {
2022-11-23T01:32:30.5881100Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5881354Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5881538Z                 'obj_weakref': None
2022-11-23T01:32:30.5881875Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5881977Z             }
2022-11-23T01:32:30.5882069Z             
2022-11-23T01:32:30.5882184Z  - 
2022-11-23T01:32:30.5882391Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5882495Z             {
2022-11-23T01:32:30.5882701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5883017Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5883204Z                 'obj_weakref': None
2022-11-23T01:32:30.5883520Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5883621Z             }
2022-11-23T01:32:30.5883720Z             
2022-11-23T01:32:30.5883829Z  - 
2022-11-23T01:32:30.5884092Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5884193Z             {
2022-11-23T01:32:30.5884445Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5885210Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:30.5885393Z                 'obj_weakref': None
2022-11-23T01:32:30.5885720Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5885823Z             }
2022-11-23T01:32:30.5885923Z             
2022-11-23T01:32:30.5886035Z  - 
2022-11-23T01:32:30.5886315Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5886417Z             {
2022-11-23T01:32:30.5886621Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5887033Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5887217Z                 'obj_weakref': None
2022-11-23T01:32:30.5887533Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5887690Z             }
2022-11-23T01:32:30.5887792Z             
2022-11-23T01:32:30.5887905Z  - 
2022-11-23T01:32:30.5888171Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5888303Z             {
2022-11-23T01:32:30.5888518Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5888930Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:30.5889112Z                 'obj_weakref': None
2022-11-23T01:32:30.5889422Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5889524Z             }
2022-11-23T01:32:30.5889625Z             
2022-11-23T01:32:30.5890004Z [2022-11-23 01:28:30,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286
2022-11-23T01:32:30.5890533Z [2022-11-23 01:28:30,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/63/c63oewkl4dk4swigjiitnkczml4r6g2y5qdrrkrl2i55rolnlard.py
2022-11-23T01:32:30.5890925Z [2022-11-23 01:28:30,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286
2022-11-23T01:32:30.5891285Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5891749Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5892073Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5892450Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5892854Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5893327Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5893826Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5894304Z [2022-11-23 01:28:30,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5894846Z [2022-11-23 01:28:30,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5894991Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5895135Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5895250Z               4 BINARY_ADD
2022-11-23T01:32:30.5895393Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5895541Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5895676Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5895806Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5895925Z              14 BINARY_ADD
2022-11-23T01:32:30.5896063Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5896182Z              18 RETURN_VALUE
2022-11-23T01:32:30.5896277Z  
2022-11-23T01:32:30.5896286Z 
2022-11-23T01:32:30.5896749Z [2022-11-23 01:28:30,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5897067Z [2022-11-23 01:28:30,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5897413Z [2022-11-23 01:28:30,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5897864Z [2022-11-23 01:28:30,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5898224Z [2022-11-23 01:28:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5898639Z [2022-11-23 01:28:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5899262Z [2022-11-23 01:28:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5899618Z [2022-11-23 01:28:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5900017Z [2022-11-23 01:28:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5900375Z [2022-11-23 01:28:30,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5900743Z [2022-11-23 01:28:30,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5901289Z [2022-11-23 01:28:30,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5901645Z [2022-11-23 01:28:30,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5901991Z [2022-11-23 01:28:30,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5902369Z [2022-11-23 01:28:30,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5902738Z [2022-11-23 01:28:30,652] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5903021Z [2022-11-23 01:28:30,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5903225Z  __compiled_fn_295 <eval_with_key>.1819 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5903365Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5903506Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5903756Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.5903915Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T01:32:30.5904184Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5904334Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.5904342Z 
2022-11-23T01:32:30.5904821Z [2022-11-23 01:28:30,652] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5904965Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5905104Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5905237Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5905371Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5905506Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5905645Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5905765Z              12 RETURN_VALUE
2022-11-23T01:32:30.5905772Z 
2022-11-23T01:32:30.5905871Z  
2022-11-23T01:32:30.5906351Z [2022-11-23 01:28:30,652] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5906520Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_295)
2022-11-23T01:32:30.5906658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5906788Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5906908Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5907045Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5907181Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5907300Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5907437Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5907655Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5907848Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5907994Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5908167Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5908314Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5908470Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5908606Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5908724Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5908849Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5908992Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5909142Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5909281Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5909400Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5909559Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5909699Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5909848Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5909978Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5910098Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5910326Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5910447Z              54 RETURN_VALUE
2022-11-23T01:32:30.5910455Z 
2022-11-23T01:32:30.5910556Z  
2022-11-23T01:32:30.5910838Z [2022-11-23 01:28:30,653] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5910951Z  - 
2022-11-23T01:32:30.5911125Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5911227Z             {
2022-11-23T01:32:30.5911442Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5911716Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5911901Z                 'obj_weakref': None
2022-11-23T01:32:30.5912226Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5912328Z             }
2022-11-23T01:32:30.5912428Z             
2022-11-23T01:32:30.5912539Z  - 
2022-11-23T01:32:30.5912727Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5912828Z             {
2022-11-23T01:32:30.5913044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5913208Z                 'code': None,
2022-11-23T01:32:30.5913516Z                 'obj_weakref': <weakref at 0x7f20681b5710; to 'Tensor' at 0x7f2023209bc0>
2022-11-23T01:32:30.5913868Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5913970Z             }
2022-11-23T01:32:30.5914070Z             
2022-11-23T01:32:30.5914182Z  - 
2022-11-23T01:32:30.5914371Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5914473Z             {
2022-11-23T01:32:30.5914689Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5914845Z                 'code': None,
2022-11-23T01:32:30.5915146Z                 'obj_weakref': <weakref at 0x7f20232298a0; to 'Tensor' at 0x7f206070cfe0>
2022-11-23T01:32:30.5915506Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5915606Z             }
2022-11-23T01:32:30.5915707Z             
2022-11-23T01:32:30.5915817Z  - 
2022-11-23T01:32:30.5916017Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5916110Z             {
2022-11-23T01:32:30.5916311Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5916565Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.5916747Z                 'obj_weakref': None
2022-11-23T01:32:30.5917078Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5917226Z             }
2022-11-23T01:32:30.5917330Z             
2022-11-23T01:32:30.5917432Z  - 
2022-11-23T01:32:30.5917619Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5917719Z             {
2022-11-23T01:32:30.5917954Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5918279Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5918459Z                 'obj_weakref': None
2022-11-23T01:32:30.5918785Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5918877Z             }
2022-11-23T01:32:30.5918977Z             
2022-11-23T01:32:30.5919087Z  - 
2022-11-23T01:32:30.5919352Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5919453Z             {
2022-11-23T01:32:30.5919704Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5920478Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:30.5920669Z                 'obj_weakref': None
2022-11-23T01:32:30.5920981Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5921083Z             }
2022-11-23T01:32:30.5921184Z             
2022-11-23T01:32:30.5921296Z  - 
2022-11-23T01:32:30.5921570Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5921670Z             {
2022-11-23T01:32:30.5921888Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5922289Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.5922474Z                 'obj_weakref': None
2022-11-23T01:32:30.5922793Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5922896Z             }
2022-11-23T01:32:30.5923001Z             
2022-11-23T01:32:30.5923111Z  - 
2022-11-23T01:32:30.5923387Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5923479Z             {
2022-11-23T01:32:30.5923692Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5924101Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:30.5924284Z                 'obj_weakref': None
2022-11-23T01:32:30.5924600Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5924701Z             }
2022-11-23T01:32:30.5924801Z             
2022-11-23T01:32:30.5925188Z [2022-11-23 01:28:30,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287
2022-11-23T01:32:30.5925720Z [2022-11-23 01:28:30,682] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fd/cfdtfpu4eds6tppbo2vbzpd2u6ncti3oj2ur6yhluwl7ouqphlbz.py
2022-11-23T01:32:30.5926116Z [2022-11-23 01:28:30,682] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287
2022-11-23T01:32:30.5926465Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5926929Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5927251Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5927626Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5928070Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5928541Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5929076Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5929550Z [2022-11-23 01:28:30,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5930083Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.5930225Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5930374Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5930516Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5930651Z               6 CALL_METHOD              1
2022-11-23T01:32:30.5930795Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5930910Z              10 BINARY_ADD
2022-11-23T01:32:30.5931047Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.5931157Z              14 RETURN_VALUE
2022-11-23T01:32:30.5931253Z  
2022-11-23T01:32:30.5931262Z 
2022-11-23T01:32:30.5931723Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.5932034Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5932391Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5932809Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5933256Z [2022-11-23 01:28:30,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5933612Z [2022-11-23 01:28:30,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5934013Z [2022-11-23 01:28:30,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5934361Z [2022-11-23 01:28:30,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5934724Z [2022-11-23 01:28:30,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5935270Z [2022-11-23 01:28:30,688] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.5935636Z [2022-11-23 01:28:30,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5935983Z [2022-11-23 01:28:30,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5936362Z [2022-11-23 01:28:30,690] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5936727Z [2022-11-23 01:28:30,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5937010Z [2022-11-23 01:28:30,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5937215Z  __compiled_fn_296 <eval_with_key>.1825 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5937344Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5937481Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5937630Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T01:32:30.5937934Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.5938084Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.5938092Z 
2022-11-23T01:32:30.5938569Z [2022-11-23 01:28:30,693] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5938741Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5939016Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5939146Z               4 BUILD_MAP                0
2022-11-23T01:32:30.5939292Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.5939426Z               8 DICT_MERGE               1
2022-11-23T01:32:30.5939566Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.5939686Z              12 RETURN_VALUE
2022-11-23T01:32:30.5939694Z 
2022-11-23T01:32:30.5939790Z  
2022-11-23T01:32:30.5940280Z [2022-11-23 01:28:30,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.5940439Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_296)
2022-11-23T01:32:30.5940581Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5940724Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5940844Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.5940979Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.5941115Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.5941234Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.5941360Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.5941519Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.5941716Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.5941865Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.5942001Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.5942153Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.5942309Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.5942445Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5942559Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.5942693Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.5942834Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5942985Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5943119Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5943237Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.5943394Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.5943527Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.5943676Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.5943814Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.5943935Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.5944089Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.5944207Z              54 RETURN_VALUE
2022-11-23T01:32:30.5944215Z 
2022-11-23T01:32:30.5944315Z  
2022-11-23T01:32:30.5944584Z [2022-11-23 01:28:30,694] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.5944701Z  - 
2022-11-23T01:32:30.5944884Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.5944985Z             {
2022-11-23T01:32:30.5945199Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.5945481Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.5945661Z                 'obj_weakref': None
2022-11-23T01:32:30.5945986Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.5946079Z             }
2022-11-23T01:32:30.5946181Z             
2022-11-23T01:32:30.5946292Z  - 
2022-11-23T01:32:30.5946480Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.5946644Z             {
2022-11-23T01:32:30.5946865Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5947021Z                 'code': None,
2022-11-23T01:32:30.5947364Z                 'obj_weakref': <weakref at 0x7f2023338400; to 'Tensor' at 0x7f2023209bc0>
2022-11-23T01:32:30.5947730Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5947832Z             }
2022-11-23T01:32:30.5947933Z             
2022-11-23T01:32:30.5948045Z  - 
2022-11-23T01:32:30.5948234Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.5948326Z             {
2022-11-23T01:32:30.5948541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.5948706Z                 'code': None,
2022-11-23T01:32:30.5949006Z                 'obj_weakref': <weakref at 0x7f20680bc040; to 'Tensor' at 0x7f20681b7650>
2022-11-23T01:32:30.5949365Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.5949468Z             }
2022-11-23T01:32:30.5949566Z             
2022-11-23T01:32:30.5949668Z  - 
2022-11-23T01:32:30.5949865Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.5949971Z             {
2022-11-23T01:32:30.5950174Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.5950518Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.5950704Z                 'obj_weakref': None
2022-11-23T01:32:30.5951039Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.5951141Z             }
2022-11-23T01:32:30.5951233Z             
2022-11-23T01:32:30.5951345Z  - 
2022-11-23T01:32:30.5951531Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.5951634Z             {
2022-11-23T01:32:30.5951865Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.5952215Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.5952388Z                 'obj_weakref': None
2022-11-23T01:32:30.5952713Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.5952820Z             }
2022-11-23T01:32:30.5952919Z             
2022-11-23T01:32:30.5953029Z  - 
2022-11-23T01:32:30.5953294Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.5953396Z             {
2022-11-23T01:32:30.5953638Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.5954398Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:30.5954584Z                 'obj_weakref': None
2022-11-23T01:32:30.5954905Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.5955006Z             }
2022-11-23T01:32:30.5955111Z             
2022-11-23T01:32:30.5955222Z  - 
2022-11-23T01:32:30.5955500Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.5955592Z             {
2022-11-23T01:32:30.5955805Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5956215Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:30.5956396Z                 'obj_weakref': None
2022-11-23T01:32:30.5956715Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5956816Z             }
2022-11-23T01:32:30.5956915Z             
2022-11-23T01:32:30.5957025Z  - 
2022-11-23T01:32:30.5957347Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.5957452Z             {
2022-11-23T01:32:30.5957667Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.5958072Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:30.5958283Z                 'obj_weakref': None
2022-11-23T01:32:30.5958596Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.5958698Z             }
2022-11-23T01:32:30.5958790Z             
2022-11-23T01:32:30.5959174Z [2022-11-23 01:28:30,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288
2022-11-23T01:32:30.5959183Z 
2022-11-23T01:32:30.5959328Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5959435Z import torch
2022-11-23T01:32:30.5959547Z import random
2022-11-23T01:32:30.5959724Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5959914Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5959922Z 
2022-11-23T01:32:30.5960044Z aten = torch.ops.aten
2022-11-23T01:32:30.5960239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5960388Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5960395Z 
2022-11-23T01:32:30.5960506Z import triton
2022-11-23T01:32:30.5960644Z import triton.language as tl
2022-11-23T01:32:30.5960831Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5961040Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5961048Z 
2022-11-23T01:32:30.5961055Z 
2022-11-23T01:32:30.5961261Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5961564Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5961739Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5961904Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5962056Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5962154Z {
2022-11-23T01:32:30.5962304Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5962407Z     {
2022-11-23T01:32:30.5962532Z         #pragma omp for 
2022-11-23T01:32:30.5962651Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.5962753Z         {
2022-11-23T01:32:30.5962960Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5963161Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5963364Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5963498Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5963628Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5963760Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5963863Z         }
2022-11-23T01:32:30.5964010Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5964142Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:30.5964241Z         {
2022-11-23T01:32:30.5964370Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5964498Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5964646Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5964778Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5964908Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5965035Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5965136Z         }
2022-11-23T01:32:30.5965236Z     }
2022-11-23T01:32:30.5965332Z }
2022-11-23T01:32:30.5965452Z ''')
2022-11-23T01:32:30.5965460Z 
2022-11-23T01:32:30.5965467Z 
2022-11-23T01:32:30.5965609Z async_compile.wait(globals())
2022-11-23T01:32:30.5965723Z del async_compile
2022-11-23T01:32:30.5965731Z 
2022-11-23T01:32:30.5965842Z def call(args):
2022-11-23T01:32:30.5965963Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5966073Z     args.clear()
2022-11-23T01:32:30.5966408Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5966645Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5966785Z     del arg0_1
2022-11-23T01:32:30.5966892Z     del arg1_1
2022-11-23T01:32:30.5967005Z     return (buf0, )
2022-11-23T01:32:30.5967013Z 
2022-11-23T01:32:30.5967020Z 
2022-11-23T01:32:30.5967138Z if __name__ == "__main__":
2022-11-23T01:32:30.5967313Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5967505Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5967814Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5968092Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5968271Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5968279Z 
2022-11-23T01:32:30.5968285Z 
2022-11-23T01:32:30.5968430Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5968544Z import torch
2022-11-23T01:32:30.5968657Z import random
2022-11-23T01:32:30.5968835Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5969018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5969031Z 
2022-11-23T01:32:30.5969153Z aten = torch.ops.aten
2022-11-23T01:32:30.5969347Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5969490Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5969498Z 
2022-11-23T01:32:30.5969612Z import triton
2022-11-23T01:32:30.5969750Z import triton.language as tl
2022-11-23T01:32:30.5969938Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5970146Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5970154Z 
2022-11-23T01:32:30.5970161Z 
2022-11-23T01:32:30.5970362Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5970670Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5970844Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5971003Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5971161Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5971260Z {
2022-11-23T01:32:30.5971411Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5971509Z     {
2022-11-23T01:32:30.5971627Z         #pragma omp for 
2022-11-23T01:32:30.5971747Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.5971847Z         {
2022-11-23T01:32:30.5972051Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5972255Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5972386Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5972528Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5972629Z         }
2022-11-23T01:32:30.5972767Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5972903Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.5973004Z         {
2022-11-23T01:32:30.5973136Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5973267Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.5973401Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5973526Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.5973618Z         }
2022-11-23T01:32:30.5973717Z     }
2022-11-23T01:32:30.5973815Z }
2022-11-23T01:32:30.5973942Z ''')
2022-11-23T01:32:30.5973950Z 
2022-11-23T01:32:30.5973957Z 
2022-11-23T01:32:30.5974095Z async_compile.wait(globals())
2022-11-23T01:32:30.5974211Z del async_compile
2022-11-23T01:32:30.5974219Z 
2022-11-23T01:32:30.5974330Z def call(args):
2022-11-23T01:32:30.5974437Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5974548Z     args.clear()
2022-11-23T01:32:30.5974847Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5975127Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5975236Z     del arg0_1
2022-11-23T01:32:30.5975347Z     del arg1_1
2022-11-23T01:32:30.5975459Z     return (buf0, )
2022-11-23T01:32:30.5975495Z 
2022-11-23T01:32:30.5975502Z 
2022-11-23T01:32:30.5975622Z if __name__ == "__main__":
2022-11-23T01:32:30.5975788Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5975976Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5976313Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5976610Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5976786Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5976794Z 
2022-11-23T01:32:30.5976800Z 
2022-11-23T01:32:30.5976948Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.5977056Z import torch
2022-11-23T01:32:30.5977167Z import random
2022-11-23T01:32:30.5977339Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.5977524Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.5977532Z 
2022-11-23T01:32:30.5977658Z aten = torch.ops.aten
2022-11-23T01:32:30.5977858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.5977999Z async_compile = AsyncCompile()
2022-11-23T01:32:30.5978007Z 
2022-11-23T01:32:30.5978117Z import triton
2022-11-23T01:32:30.5978255Z import triton.language as tl
2022-11-23T01:32:30.5978431Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.5978637Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.5978645Z 
2022-11-23T01:32:30.5978652Z 
2022-11-23T01:32:30.5979013Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.5979320Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.5979508Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.5979668Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.5979821Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.5979923Z {
2022-11-23T01:32:30.5980064Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.5980163Z     {
2022-11-23T01:32:30.5980284Z         #pragma omp for 
2022-11-23T01:32:30.5980412Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.5980512Z         {
2022-11-23T01:32:30.5980714Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.5980913Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.5981110Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.5981233Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5981362Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5981508Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.5981612Z         }
2022-11-23T01:32:30.5981758Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.5981894Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.5981996Z         {
2022-11-23T01:32:30.5982122Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.5982252Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.5982405Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.5982539Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.5982668Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.5982794Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.5982886Z         }
2022-11-23T01:32:30.5982984Z     }
2022-11-23T01:32:30.5983081Z }
2022-11-23T01:32:30.5983214Z ''')
2022-11-23T01:32:30.5983222Z 
2022-11-23T01:32:30.5983229Z 
2022-11-23T01:32:30.5983367Z async_compile.wait(globals())
2022-11-23T01:32:30.5983481Z del async_compile
2022-11-23T01:32:30.5983489Z 
2022-11-23T01:32:30.5983604Z def call(args):
2022-11-23T01:32:30.5983721Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.5983884Z     args.clear()
2022-11-23T01:32:30.5984191Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5984431Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.5984576Z     del arg0_1
2022-11-23T01:32:30.5984682Z     del arg1_1
2022-11-23T01:32:30.5984793Z     return (buf0, )
2022-11-23T01:32:30.5984801Z 
2022-11-23T01:32:30.5984808Z 
2022-11-23T01:32:30.5984924Z if __name__ == "__main__":
2022-11-23T01:32:30.5985089Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.5985277Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.5985610Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5985908Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.5986089Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.5986097Z 
2022-11-23T01:32:30.5986629Z [2022-11-23 01:28:32,243] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5sfelv5yxhc3shgju7t7jknmfqymak5jz5i33izhv5fj3urvqv.py
2022-11-23T01:32:30.5987025Z [2022-11-23 01:28:32,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288
2022-11-23T01:32:30.5987378Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.5987838Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.5988150Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.5988526Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.5988938Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.5989406Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5989915Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5990479Z [2022-11-23 01:28:32,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.5991026Z [2022-11-23 01:28:32,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.5991167Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.5991306Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.5991424Z               4 BINARY_ADD
2022-11-23T01:32:30.5991560Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.5991701Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.5991842Z              10 CALL_METHOD              1
2022-11-23T01:32:30.5991982Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.5992097Z              14 BINARY_ADD
2022-11-23T01:32:30.5992233Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.5992352Z              18 RETURN_VALUE
2022-11-23T01:32:30.5992441Z  
2022-11-23T01:32:30.5992448Z 
2022-11-23T01:32:30.5992911Z [2022-11-23 01:28:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.5993226Z [2022-11-23 01:28:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.5993578Z [2022-11-23 01:28:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.5994040Z [2022-11-23 01:28:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.5994407Z [2022-11-23 01:28:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.5994891Z [2022-11-23 01:28:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.5995341Z [2022-11-23 01:28:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.5995695Z [2022-11-23 01:28:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.5996091Z [2022-11-23 01:28:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.5996459Z [2022-11-23 01:28:32,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.5996827Z [2022-11-23 01:28:32,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5997377Z [2022-11-23 01:28:32,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.5997748Z [2022-11-23 01:28:32,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.5998093Z [2022-11-23 01:28:32,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.5998472Z [2022-11-23 01:28:32,252] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.5998838Z [2022-11-23 01:28:32,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.5999125Z [2022-11-23 01:28:32,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.5999333Z  __compiled_fn_297 <eval_with_key>.1831 opcode, name, target, args, kwargs
2022-11-23T01:32:30.5999462Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.5999603Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.5999864Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6000013Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T01:32:30.6000283Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6000430Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6000439Z 
2022-11-23T01:32:30.6000917Z [2022-11-23 01:28:32,256] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6001060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6001191Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6001329Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6001478Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6001611Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6001748Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6001871Z              12 RETURN_VALUE
2022-11-23T01:32:30.6001879Z 
2022-11-23T01:32:30.6001975Z  
2022-11-23T01:32:30.6002444Z [2022-11-23 01:28:32,256] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6002611Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_297)
2022-11-23T01:32:30.6002749Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6002888Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6003009Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6003147Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6003282Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6003431Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6003570Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6003730Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6003959Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6004108Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6004244Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6004392Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6004549Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6004675Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6004794Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6004929Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6005070Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6005222Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6005362Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6005480Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6005628Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6005773Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6005922Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6006058Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6006177Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6006331Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6006450Z              54 RETURN_VALUE
2022-11-23T01:32:30.6006458Z 
2022-11-23T01:32:30.6006547Z  
2022-11-23T01:32:30.6006823Z [2022-11-23 01:28:32,257] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6006936Z  - 
2022-11-23T01:32:30.6007119Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6007220Z             {
2022-11-23T01:32:30.6007437Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6007717Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6007891Z                 'obj_weakref': None
2022-11-23T01:32:30.6008216Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6008323Z             }
2022-11-23T01:32:30.6008425Z             
2022-11-23T01:32:30.6008536Z  - 
2022-11-23T01:32:30.6008727Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6008828Z             {
2022-11-23T01:32:30.6009034Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6009200Z                 'code': None,
2022-11-23T01:32:30.6009509Z                 'obj_weakref': <weakref at 0x7f2115a8bab0; to 'Tensor' at 0x7f2023209bc0>
2022-11-23T01:32:30.6009873Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6009973Z             }
2022-11-23T01:32:30.6010073Z             
2022-11-23T01:32:30.6010186Z  - 
2022-11-23T01:32:30.6010364Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6010464Z             {
2022-11-23T01:32:30.6010677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6010846Z                 'code': None,
2022-11-23T01:32:30.6011146Z                 'obj_weakref': <weakref at 0x7f20601ee430; to 'Tensor' at 0x7f2023338720>
2022-11-23T01:32:30.6011502Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6011603Z             }
2022-11-23T01:32:30.6011695Z             
2022-11-23T01:32:30.6011806Z  - 
2022-11-23T01:32:30.6012006Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6012108Z             {
2022-11-23T01:32:30.6012311Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6012563Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6012746Z                 'obj_weakref': None
2022-11-23T01:32:30.6013119Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6013224Z             }
2022-11-23T01:32:30.6013327Z             
2022-11-23T01:32:30.6013467Z  - 
2022-11-23T01:32:30.6013653Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6013754Z             {
2022-11-23T01:32:30.6013962Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6014276Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6014458Z                 'obj_weakref': None
2022-11-23T01:32:30.6014782Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6014885Z             }
2022-11-23T01:32:30.6014986Z             
2022-11-23T01:32:30.6015096Z  - 
2022-11-23T01:32:30.6015360Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6015452Z             {
2022-11-23T01:32:30.6015708Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6016467Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:30.6016653Z                 'obj_weakref': None
2022-11-23T01:32:30.6016972Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6017074Z             }
2022-11-23T01:32:30.6017176Z             
2022-11-23T01:32:30.6017286Z  - 
2022-11-23T01:32:30.6017554Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6017655Z             {
2022-11-23T01:32:30.6017870Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6018281Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:30.6018464Z                 'obj_weakref': None
2022-11-23T01:32:30.6018781Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6019166Z             }
2022-11-23T01:32:30.6019269Z             
2022-11-23T01:32:30.6019378Z  - 
2022-11-23T01:32:30.6019654Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6019754Z             {
2022-11-23T01:32:30.6019970Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6020370Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:30.6020552Z                 'obj_weakref': None
2022-11-23T01:32:30.6020865Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6020960Z             }
2022-11-23T01:32:30.6021064Z             
2022-11-23T01:32:30.6021448Z [2022-11-23 01:28:32,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289
2022-11-23T01:32:30.6021974Z [2022-11-23 01:28:33,840] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6cztj7h6swjpo3thinohu5s724i5x6l2dnle6ab6rfyc5bzqiuu.py
2022-11-23T01:32:30.6022362Z [2022-11-23 01:28:33,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289
2022-11-23T01:32:30.6022717Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6023181Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6023504Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6023955Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6024358Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6024868Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6025378Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6025845Z [2022-11-23 01:28:33,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6026388Z [2022-11-23 01:28:33,845] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6026538Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6026684Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6026826Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6026965Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6027093Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6027208Z              10 BINARY_ADD
2022-11-23T01:32:30.6027344Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6027466Z              14 RETURN_VALUE
2022-11-23T01:32:30.6027565Z  
2022-11-23T01:32:30.6027573Z 
2022-11-23T01:32:30.6028031Z [2022-11-23 01:28:33,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6028343Z [2022-11-23 01:28:33,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6028709Z [2022-11-23 01:28:33,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6029115Z [2022-11-23 01:28:33,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6029563Z [2022-11-23 01:28:33,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6029911Z [2022-11-23 01:28:33,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6030399Z [2022-11-23 01:28:33,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6030761Z [2022-11-23 01:28:33,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6031124Z [2022-11-23 01:28:33,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6031681Z [2022-11-23 01:28:33,847] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6032045Z [2022-11-23 01:28:33,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6032396Z [2022-11-23 01:28:33,848] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6032774Z [2022-11-23 01:28:33,849] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6033134Z [2022-11-23 01:28:33,851] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6033418Z [2022-11-23 01:28:33,851] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6033625Z  __compiled_fn_298 <eval_with_key>.1837 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6033764Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6033900Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6034095Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T01:32:30.6034369Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6034508Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6034554Z 
2022-11-23T01:32:30.6035026Z [2022-11-23 01:28:33,852] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6035172Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6035311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6035443Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6035587Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6035719Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6035858Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6035967Z              12 RETURN_VALUE
2022-11-23T01:32:30.6035975Z 
2022-11-23T01:32:30.6036074Z  
2022-11-23T01:32:30.6036554Z [2022-11-23 01:28:33,852] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6036721Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_298)
2022-11-23T01:32:30.6036867Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6037005Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6037124Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6037260Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6037389Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6037510Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6037646Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6037806Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6038004Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6038161Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6038298Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6038437Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6038597Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6038739Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6038860Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6038993Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6039138Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6039289Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6039418Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6039538Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6039694Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6039836Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6039986Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6040126Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6040246Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6040406Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6040519Z              54 RETURN_VALUE
2022-11-23T01:32:30.6040527Z 
2022-11-23T01:32:30.6040625Z  
2022-11-23T01:32:30.6040905Z [2022-11-23 01:28:33,853] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6041017Z  - 
2022-11-23T01:32:30.6041199Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6041302Z             {
2022-11-23T01:32:30.6041516Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6041783Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6041966Z                 'obj_weakref': None
2022-11-23T01:32:30.6042294Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6042396Z             }
2022-11-23T01:32:30.6042536Z             
2022-11-23T01:32:30.6042650Z  - 
2022-11-23T01:32:30.6042840Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6042933Z             {
2022-11-23T01:32:30.6043148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6043347Z                 'code': None,
2022-11-23T01:32:30.6043656Z                 'obj_weakref': <weakref at 0x7f21159e8590; to 'Tensor' at 0x7f2115a8ba10>
2022-11-23T01:32:30.6044017Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6044124Z             }
2022-11-23T01:32:30.6044227Z             
2022-11-23T01:32:30.6044330Z  - 
2022-11-23T01:32:30.6044516Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6044617Z             {
2022-11-23T01:32:30.6044829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6044995Z                 'code': None,
2022-11-23T01:32:30.6045302Z                 'obj_weakref': <weakref at 0x7f21159e93a0; to 'Tensor' at 0x7f2115a8b7e0>
2022-11-23T01:32:30.6045657Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6045748Z             }
2022-11-23T01:32:30.6045859Z             
2022-11-23T01:32:30.6045969Z  - 
2022-11-23T01:32:30.6046169Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6046269Z             {
2022-11-23T01:32:30.6046473Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6046728Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6046902Z                 'obj_weakref': None
2022-11-23T01:32:30.6047238Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6047339Z             }
2022-11-23T01:32:30.6047439Z             
2022-11-23T01:32:30.6047553Z  - 
2022-11-23T01:32:30.6047739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6047839Z             {
2022-11-23T01:32:30.6048040Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6048358Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6048546Z                 'obj_weakref': None
2022-11-23T01:32:30.6048874Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6048975Z             }
2022-11-23T01:32:30.6049076Z             
2022-11-23T01:32:30.6049187Z  - 
2022-11-23T01:32:30.6049444Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6049544Z             {
2022-11-23T01:32:30.6049795Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6050425Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:30.6050614Z                 'obj_weakref': None
2022-11-23T01:32:30.6050937Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6051042Z             }
2022-11-23T01:32:30.6051142Z             
2022-11-23T01:32:30.6051244Z  - 
2022-11-23T01:32:30.6051522Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6051625Z             {
2022-11-23T01:32:30.6051838Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6052276Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:30.6052482Z                 'obj_weakref': None
2022-11-23T01:32:30.6052802Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6052894Z             }
2022-11-23T01:32:30.6052995Z             
2022-11-23T01:32:30.6053424Z [2022-11-23 01:28:33,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290
2022-11-23T01:32:30.6053968Z [2022-11-23 01:28:33,865] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zt/cztmyfwazzmhxocdytbkkme6s2xiwx76xrjnynes3vacnjoyhykf.py
2022-11-23T01:32:30.6054391Z [2022-11-23 01:28:33,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290
2022-11-23T01:32:30.6054747Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6055210Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6055541Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6055917Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6056319Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6056791Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6057307Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6057783Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6058324Z [2022-11-23 01:28:33,868] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6058468Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6058613Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6058730Z               4 BINARY_ADD
2022-11-23T01:32:30.6059058Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6059198Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6059339Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6059478Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6059594Z              14 BINARY_ADD
2022-11-23T01:32:30.6059732Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6059850Z              18 RETURN_VALUE
2022-11-23T01:32:30.6059949Z  
2022-11-23T01:32:30.6059957Z 
2022-11-23T01:32:30.6060416Z [2022-11-23 01:28:33,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6060731Z [2022-11-23 01:28:33,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6061090Z [2022-11-23 01:28:33,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6061511Z [2022-11-23 01:28:33,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6061870Z [2022-11-23 01:28:33,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6062286Z [2022-11-23 01:28:33,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6062730Z [2022-11-23 01:28:33,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6063080Z [2022-11-23 01:28:33,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6063480Z [2022-11-23 01:28:33,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6063897Z [2022-11-23 01:28:33,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6064253Z [2022-11-23 01:28:33,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6064832Z [2022-11-23 01:28:33,872] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6065194Z [2022-11-23 01:28:33,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6065539Z [2022-11-23 01:28:33,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6065915Z [2022-11-23 01:28:33,873] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6066282Z [2022-11-23 01:28:33,876] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6066569Z [2022-11-23 01:28:33,876] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6066777Z  __compiled_fn_299 <eval_with_key>.1843 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6066919Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6067047Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6067305Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6067452Z call_method, view, view, (add, [35]), {}
2022-11-23T01:32:30.6067722Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6067870Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6067878Z 
2022-11-23T01:32:30.6068353Z [2022-11-23 01:28:33,877] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6068495Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6068635Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6068763Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6068905Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6069039Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6069184Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6069303Z              12 RETURN_VALUE
2022-11-23T01:32:30.6069311Z 
2022-11-23T01:32:30.6069408Z  
2022-11-23T01:32:30.6069890Z [2022-11-23 01:28:33,877] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6070049Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_299)
2022-11-23T01:32:30.6070189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6070394Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6070517Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6070653Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6070792Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6070911Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6071039Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6071196Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6071400Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6071548Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6071683Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6071830Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6071985Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6072121Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6072232Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6072367Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6072509Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6072702Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6072841Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6072960Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6073119Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6073285Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6073435Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6073574Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6073692Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6073846Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6073964Z              54 RETURN_VALUE
2022-11-23T01:32:30.6073974Z 
2022-11-23T01:32:30.6074071Z  
2022-11-23T01:32:30.6074341Z [2022-11-23 01:28:33,878] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6074453Z  - 
2022-11-23T01:32:30.6074636Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6074737Z             {
2022-11-23T01:32:30.6074954Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6075233Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6075416Z                 'obj_weakref': None
2022-11-23T01:32:30.6075737Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6075838Z             }
2022-11-23T01:32:30.6075937Z             
2022-11-23T01:32:30.6076050Z  - 
2022-11-23T01:32:30.6076241Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6076342Z             {
2022-11-23T01:32:30.6076557Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6076713Z                 'code': None,
2022-11-23T01:32:30.6077020Z                 'obj_weakref': <weakref at 0x7f21159c33d0; to 'Tensor' at 0x7f21159e9bc0>
2022-11-23T01:32:30.6077388Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6077493Z             }
2022-11-23T01:32:30.6077598Z             
2022-11-23T01:32:30.6077709Z  - 
2022-11-23T01:32:30.6077896Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6077989Z             {
2022-11-23T01:32:30.6078207Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6078373Z                 'code': None,
2022-11-23T01:32:30.6078674Z                 'obj_weakref': <weakref at 0x7f21159b6fc0; to 'Tensor' at 0x7f20680ae660>
2022-11-23T01:32:30.6079029Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6079130Z             }
2022-11-23T01:32:30.6079230Z             
2022-11-23T01:32:30.6079332Z  - 
2022-11-23T01:32:30.6079532Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6079634Z             {
2022-11-23T01:32:30.6079837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6080092Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6080280Z                 'obj_weakref': None
2022-11-23T01:32:30.6080613Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6080706Z             }
2022-11-23T01:32:30.6080811Z             
2022-11-23T01:32:30.6080922Z  - 
2022-11-23T01:32:30.6081106Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6081209Z             {
2022-11-23T01:32:30.6081416Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6081735Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6081906Z                 'obj_weakref': None
2022-11-23T01:32:30.6082227Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6082328Z             }
2022-11-23T01:32:30.6082427Z             
2022-11-23T01:32:30.6082535Z  - 
2022-11-23T01:32:30.6082801Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6082938Z             {
2022-11-23T01:32:30.6083183Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6083811Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:30.6084029Z                 'obj_weakref': None
2022-11-23T01:32:30.6084351Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6084453Z             }
2022-11-23T01:32:30.6084553Z             
2022-11-23T01:32:30.6084664Z  - 
2022-11-23T01:32:30.6084940Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6085032Z             {
2022-11-23T01:32:30.6085249Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6085665Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:30.6085847Z                 'obj_weakref': None
2022-11-23T01:32:30.6086162Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6086269Z             }
2022-11-23T01:32:30.6086369Z             
2022-11-23T01:32:30.6086743Z [2022-11-23 01:28:33,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291
2022-11-23T01:32:30.6086761Z 
2022-11-23T01:32:30.6086898Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6087008Z import torch
2022-11-23T01:32:30.6087118Z import random
2022-11-23T01:32:30.6087295Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6087480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6087488Z 
2022-11-23T01:32:30.6087612Z aten = torch.ops.aten
2022-11-23T01:32:30.6087818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6087956Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6087964Z 
2022-11-23T01:32:30.6088076Z import triton
2022-11-23T01:32:30.6088213Z import triton.language as tl
2022-11-23T01:32:30.6088402Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6088610Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6088618Z 
2022-11-23T01:32:30.6088625Z 
2022-11-23T01:32:30.6088831Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6089133Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6089316Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6089468Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6089623Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6089721Z {
2022-11-23T01:32:30.6089871Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6089970Z     {
2022-11-23T01:32:30.6090094Z         #pragma omp for 
2022-11-23T01:32:30.6090221Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6090313Z         {
2022-11-23T01:32:30.6090521Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6090725Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6090859Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6090999Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6091100Z         }
2022-11-23T01:32:30.6091244Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6091364Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6091465Z         {
2022-11-23T01:32:30.6091595Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6091729Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6091860Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6091983Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6092083Z         }
2022-11-23T01:32:30.6092174Z     }
2022-11-23T01:32:30.6092318Z }
2022-11-23T01:32:30.6092447Z ''')
2022-11-23T01:32:30.6092455Z 
2022-11-23T01:32:30.6092462Z 
2022-11-23T01:32:30.6092601Z async_compile.wait(globals())
2022-11-23T01:32:30.6092745Z del async_compile
2022-11-23T01:32:30.6092752Z 
2022-11-23T01:32:30.6092863Z def call(args):
2022-11-23T01:32:30.6092979Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6093082Z     args.clear()
2022-11-23T01:32:30.6093372Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6093617Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6093724Z     del arg0_1
2022-11-23T01:32:30.6093830Z     del arg1_1
2022-11-23T01:32:30.6093941Z     return (buf0, )
2022-11-23T01:32:30.6093949Z 
2022-11-23T01:32:30.6093956Z 
2022-11-23T01:32:30.6094075Z if __name__ == "__main__":
2022-11-23T01:32:30.6094253Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6094436Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6094746Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6095038Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6095220Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6095228Z 
2022-11-23T01:32:30.6095235Z 
2022-11-23T01:32:30.6095380Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6095493Z import torch
2022-11-23T01:32:30.6095604Z import random
2022-11-23T01:32:30.6095778Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6095952Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6095960Z 
2022-11-23T01:32:30.6096083Z aten = torch.ops.aten
2022-11-23T01:32:30.6096285Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6096427Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6096434Z 
2022-11-23T01:32:30.6096547Z import triton
2022-11-23T01:32:30.6096687Z import triton.language as tl
2022-11-23T01:32:30.6096876Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6097075Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6097098Z 
2022-11-23T01:32:30.6097105Z 
2022-11-23T01:32:30.6097300Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6097600Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6097782Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6097940Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6098089Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6098187Z {
2022-11-23T01:32:30.6098338Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6098427Z     {
2022-11-23T01:32:30.6098548Z         #pragma omp for 
2022-11-23T01:32:30.6098676Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6098779Z         {
2022-11-23T01:32:30.6099124Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6099327Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6099538Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6099670Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6099791Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6099932Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6100035Z         }
2022-11-23T01:32:30.6100184Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6100314Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6100413Z         {
2022-11-23T01:32:30.6100535Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6100663Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6100819Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6100949Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6101137Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6101265Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6101366Z         }
2022-11-23T01:32:30.6101455Z     }
2022-11-23T01:32:30.6101588Z }
2022-11-23T01:32:30.6101723Z ''')
2022-11-23T01:32:30.6101731Z 
2022-11-23T01:32:30.6101738Z 
2022-11-23T01:32:30.6101876Z async_compile.wait(globals())
2022-11-23T01:32:30.6101992Z del async_compile
2022-11-23T01:32:30.6102000Z 
2022-11-23T01:32:30.6102111Z def call(args):
2022-11-23T01:32:30.6102227Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6102338Z     args.clear()
2022-11-23T01:32:30.6102618Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6102865Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6102974Z     del arg0_1
2022-11-23T01:32:30.6103080Z     del arg1_1
2022-11-23T01:32:30.6103191Z     return (buf0, )
2022-11-23T01:32:30.6103199Z 
2022-11-23T01:32:30.6103211Z 
2022-11-23T01:32:30.6103329Z if __name__ == "__main__":
2022-11-23T01:32:30.6103504Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6103682Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6103996Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6104287Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6104463Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6104471Z 
2022-11-23T01:32:30.6104478Z 
2022-11-23T01:32:30.6104623Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6104736Z import torch
2022-11-23T01:32:30.6104847Z import random
2022-11-23T01:32:30.6105021Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6105194Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6105202Z 
2022-11-23T01:32:30.6105323Z aten = torch.ops.aten
2022-11-23T01:32:30.6105530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6105672Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6105679Z 
2022-11-23T01:32:30.6105790Z import triton
2022-11-23T01:32:30.6105933Z import triton.language as tl
2022-11-23T01:32:30.6106118Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6106326Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6106334Z 
2022-11-23T01:32:30.6106341Z 
2022-11-23T01:32:30.6106535Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6106831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6107013Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6107173Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6107326Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6107426Z {
2022-11-23T01:32:30.6107579Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6107669Z     {
2022-11-23T01:32:30.6107789Z         #pragma omp for 
2022-11-23T01:32:30.6107916Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.6108016Z         {
2022-11-23T01:32:30.6108220Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6108417Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6108546Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6108686Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6108778Z         }
2022-11-23T01:32:30.6108923Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6109051Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:30.6109150Z         {
2022-11-23T01:32:30.6109281Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6109411Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6109532Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6109657Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6109796Z         }
2022-11-23T01:32:30.6109898Z     }
2022-11-23T01:32:30.6109995Z }
2022-11-23T01:32:30.6110126Z ''')
2022-11-23T01:32:30.6110134Z 
2022-11-23T01:32:30.6110141Z 
2022-11-23T01:32:30.6110385Z async_compile.wait(globals())
2022-11-23T01:32:30.6110494Z del async_compile
2022-11-23T01:32:30.6110513Z 
2022-11-23T01:32:30.6110616Z def call(args):
2022-11-23T01:32:30.6110737Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6110849Z     args.clear()
2022-11-23T01:32:30.6111134Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6111379Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6111486Z     del arg0_1
2022-11-23T01:32:30.6111602Z     del arg1_1
2022-11-23T01:32:30.6111720Z     return (buf0, )
2022-11-23T01:32:30.6111728Z 
2022-11-23T01:32:30.6111735Z 
2022-11-23T01:32:30.6111875Z if __name__ == "__main__":
2022-11-23T01:32:30.6112052Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6112239Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6112529Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6112817Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6112993Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6113001Z 
2022-11-23T01:32:30.6113525Z [2022-11-23 01:28:33,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3q/c3qf3weny57s5m3wi4wbhcwuxzrdpjca3ddq25avukb3gena3znw.py
2022-11-23T01:32:30.6113912Z [2022-11-23 01:28:33,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291
2022-11-23T01:32:30.6114266Z [2022-11-23 01:28:33,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6114729Z [2022-11-23 01:28:33,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6115052Z [2022-11-23 01:28:33,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6115425Z [2022-11-23 01:28:33,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6115838Z [2022-11-23 01:28:33,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6116308Z [2022-11-23 01:28:33,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6116815Z [2022-11-23 01:28:33,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6117288Z [2022-11-23 01:28:33,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6117837Z [2022-11-23 01:28:33,901] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6117985Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6118122Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6118267Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6118402Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6118540Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6118654Z              10 BINARY_ADD
2022-11-23T01:32:30.6118796Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6118916Z              14 RETURN_VALUE
2022-11-23T01:32:30.6119005Z  
2022-11-23T01:32:30.6119013Z 
2022-11-23T01:32:30.6119516Z [2022-11-23 01:28:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6119831Z [2022-11-23 01:28:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6120193Z [2022-11-23 01:28:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6120639Z [2022-11-23 01:28:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6121084Z [2022-11-23 01:28:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6121433Z [2022-11-23 01:28:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6121835Z [2022-11-23 01:28:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6122191Z [2022-11-23 01:28:33,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6122547Z [2022-11-23 01:28:33,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6123098Z [2022-11-23 01:28:33,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6123467Z [2022-11-23 01:28:33,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6123816Z [2022-11-23 01:28:33,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6124193Z [2022-11-23 01:28:33,905] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6124562Z [2022-11-23 01:28:33,907] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6124844Z [2022-11-23 01:28:33,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6125055Z  __compiled_fn_300 <eval_with_key>.1849 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6125192Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6125318Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6125476Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T01:32:30.6125745Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6125892Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6125900Z 
2022-11-23T01:32:30.6126379Z [2022-11-23 01:28:33,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6126526Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6126666Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6126800Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6126933Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6127070Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6127208Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6127327Z              12 RETURN_VALUE
2022-11-23T01:32:30.6127335Z 
2022-11-23T01:32:30.6127435Z  
2022-11-23T01:32:30.6127912Z [2022-11-23 01:28:33,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6128077Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_300)
2022-11-23T01:32:30.6128217Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6128347Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6128466Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6128600Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6128736Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6128855Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6128990Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6129185Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6129376Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6129525Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6129690Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6129838Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6129995Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6130133Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6130252Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6130376Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6130517Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6130670Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6130806Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6130924Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6131082Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6131228Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6131370Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6131511Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6131630Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6131788Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6131909Z              54 RETURN_VALUE
2022-11-23T01:32:30.6131916Z 
2022-11-23T01:32:30.6132015Z  
2022-11-23T01:32:30.6132291Z [2022-11-23 01:28:33,909] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6132396Z  - 
2022-11-23T01:32:30.6132580Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6132688Z             {
2022-11-23T01:32:30.6132903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6133179Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6133365Z                 'obj_weakref': None
2022-11-23T01:32:30.6133693Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6133798Z             }
2022-11-23T01:32:30.6133895Z             
2022-11-23T01:32:30.6134010Z  - 
2022-11-23T01:32:30.6134201Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6134303Z             {
2022-11-23T01:32:30.6134519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6134684Z                 'code': None,
2022-11-23T01:32:30.6134983Z                 'obj_weakref': <weakref at 0x7f201e20e110; to 'Tensor' at 0x7f21159e9bc0>
2022-11-23T01:32:30.6135353Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6135457Z             }
2022-11-23T01:32:30.6135561Z             
2022-11-23T01:32:30.6135671Z  - 
2022-11-23T01:32:30.6135859Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6144845Z             {
2022-11-23T01:32:30.6145111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6145283Z                 'code': None,
2022-11-23T01:32:30.6145593Z                 'obj_weakref': <weakref at 0x7f201e20ca90; to 'Tensor' at 0x7f2115985490>
2022-11-23T01:32:30.6145964Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6146066Z             }
2022-11-23T01:32:30.6146167Z             
2022-11-23T01:32:30.6146280Z  - 
2022-11-23T01:32:30.6146470Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6146571Z             {
2022-11-23T01:32:30.6146775Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6147028Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6147210Z                 'obj_weakref': None
2022-11-23T01:32:30.6147542Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6147737Z             }
2022-11-23T01:32:30.6147833Z             
2022-11-23T01:32:30.6147945Z  - 
2022-11-23T01:32:30.6148134Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6148236Z             {
2022-11-23T01:32:30.6148481Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6148797Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6148979Z                 'obj_weakref': None
2022-11-23T01:32:30.6149309Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6149401Z             }
2022-11-23T01:32:30.6149502Z             
2022-11-23T01:32:30.6149613Z  - 
2022-11-23T01:32:30.6149879Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6149978Z             {
2022-11-23T01:32:30.6150229Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6150960Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:30.6151138Z                 'obj_weakref': None
2022-11-23T01:32:30.6151459Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6151561Z             }
2022-11-23T01:32:30.6151663Z             
2022-11-23T01:32:30.6151773Z  - 
2022-11-23T01:32:30.6152050Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6152151Z             {
2022-11-23T01:32:30.6152355Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6152769Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:30.6152949Z                 'obj_weakref': None
2022-11-23T01:32:30.6153269Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6153370Z             }
2022-11-23T01:32:30.6153472Z             
2022-11-23T01:32:30.6153862Z [2022-11-23 01:28:33,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292
2022-11-23T01:32:30.6154389Z [2022-11-23 01:28:33,921] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b7/cb7u6mf7jyabpyjl7yyyry5jv45fknm64xkt7icasznfgog7j32z.py
2022-11-23T01:32:30.6154771Z [2022-11-23 01:28:33,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292
2022-11-23T01:32:30.6155120Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6155583Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6155911Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6156286Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6156700Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6157167Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6157675Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6158147Z [2022-11-23 01:28:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6158757Z [2022-11-23 01:28:33,925] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6158894Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6159064Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6159178Z               4 BINARY_ADD
2022-11-23T01:32:30.6159321Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6159465Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6159599Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6159737Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6159851Z              14 BINARY_ADD
2022-11-23T01:32:30.6159979Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6160098Z              18 RETURN_VALUE
2022-11-23T01:32:30.6160194Z  
2022-11-23T01:32:30.6160203Z 
2022-11-23T01:32:30.6160669Z [2022-11-23 01:28:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6160982Z [2022-11-23 01:28:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6161338Z [2022-11-23 01:28:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6161763Z [2022-11-23 01:28:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6162122Z [2022-11-23 01:28:33,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6162532Z [2022-11-23 01:28:33,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6162984Z [2022-11-23 01:28:33,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6163346Z [2022-11-23 01:28:33,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6163748Z [2022-11-23 01:28:33,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6164113Z [2022-11-23 01:28:33,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6164475Z [2022-11-23 01:28:33,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6165029Z [2022-11-23 01:28:33,928] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6165394Z [2022-11-23 01:28:33,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6165742Z [2022-11-23 01:28:33,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6166126Z [2022-11-23 01:28:33,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6166489Z [2022-11-23 01:28:33,934] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6166783Z [2022-11-23 01:28:33,934] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6166988Z  __compiled_fn_301 <eval_with_key>.1855 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6167127Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6167263Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6167525Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6167674Z call_method, view, view, (add, [5040]), {}
2022-11-23T01:32:30.6167937Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6168087Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6168095Z 
2022-11-23T01:32:30.6168626Z [2022-11-23 01:28:33,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6168771Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6168911Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6169081Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6169224Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6169355Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6169484Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6169605Z              12 RETURN_VALUE
2022-11-23T01:32:30.6169613Z 
2022-11-23T01:32:30.6169708Z  
2022-11-23T01:32:30.6170190Z [2022-11-23 01:28:33,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6170358Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_301)
2022-11-23T01:32:30.6170497Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6170640Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6170763Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6170890Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6171028Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6171150Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6171285Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6171444Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6171643Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6171792Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6171918Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6172065Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6172224Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6172358Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6172480Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6172618Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6172760Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6172904Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6173046Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6173164Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6173321Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6173462Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6173612Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6173748Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6173866Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6174012Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6174131Z              54 RETURN_VALUE
2022-11-23T01:32:30.6174139Z 
2022-11-23T01:32:30.6174236Z  
2022-11-23T01:32:30.6174519Z [2022-11-23 01:28:33,935] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6174633Z  - 
2022-11-23T01:32:30.6174816Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6174919Z             {
2022-11-23T01:32:30.6175129Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6175400Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6175585Z                 'obj_weakref': None
2022-11-23T01:32:30.6175911Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6176017Z             }
2022-11-23T01:32:30.6176119Z             
2022-11-23T01:32:30.6176228Z  - 
2022-11-23T01:32:30.6176405Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6176507Z             {
2022-11-23T01:32:30.6176724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6176891Z                 'code': None,
2022-11-23T01:32:30.6177240Z                 'obj_weakref': <weakref at 0x7f2115c41170; to 'Tensor' at 0x7f21159e9bc0>
2022-11-23T01:32:30.6177603Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6177734Z             }
2022-11-23T01:32:30.6177826Z             
2022-11-23T01:32:30.6177937Z  - 
2022-11-23T01:32:30.6178122Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6178223Z             {
2022-11-23T01:32:30.6178435Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6178598Z                 'code': None,
2022-11-23T01:32:30.6179172Z                 'obj_weakref': <weakref at 0x7f201e37bb00; to 'Tensor' at 0x7f20606b8cc0>
2022-11-23T01:32:30.6179530Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6179631Z             }
2022-11-23T01:32:30.6179733Z             
2022-11-23T01:32:30.6179848Z  - 
2022-11-23T01:32:30.6180048Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6180154Z             {
2022-11-23T01:32:30.6180359Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6180604Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6180790Z                 'obj_weakref': None
2022-11-23T01:32:30.6181123Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6181225Z             }
2022-11-23T01:32:30.6181325Z             
2022-11-23T01:32:30.6181435Z  - 
2022-11-23T01:32:30.6181621Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6181713Z             {
2022-11-23T01:32:30.6181920Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6182243Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6182425Z                 'obj_weakref': None
2022-11-23T01:32:30.6182751Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6182853Z             }
2022-11-23T01:32:30.6182954Z             
2022-11-23T01:32:30.6183055Z  - 
2022-11-23T01:32:30.6183320Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6183423Z             {
2022-11-23T01:32:30.6183674Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6184304Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:30.6184486Z                 'obj_weakref': None
2022-11-23T01:32:30.6184810Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6184914Z             }
2022-11-23T01:32:30.6185007Z             
2022-11-23T01:32:30.6185118Z  - 
2022-11-23T01:32:30.6185396Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6185499Z             {
2022-11-23T01:32:30.6185715Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6186127Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:30.6186311Z                 'obj_weakref': None
2022-11-23T01:32:30.6186619Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6186719Z             }
2022-11-23T01:32:30.6186819Z             
2022-11-23T01:32:30.6187204Z [2022-11-23 01:28:33,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293
2022-11-23T01:32:30.6187739Z [2022-11-23 01:28:33,969] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2b/c2bdfpodtjou66xs5drjyzqul3lgjun477laycmfsclcq2zurxa4.py
2022-11-23T01:32:30.6188202Z [2022-11-23 01:28:33,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293
2022-11-23T01:32:30.6188563Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6189026Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6189395Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6189760Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6190166Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6190717Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6191227Z [2022-11-23 01:28:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6191702Z [2022-11-23 01:28:33,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6192249Z [2022-11-23 01:28:33,973] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6192392Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6192538Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6192679Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6192806Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6192943Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6193059Z              10 BINARY_ADD
2022-11-23T01:32:30.6193199Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6193316Z              14 RETURN_VALUE
2022-11-23T01:32:30.6193413Z  
2022-11-23T01:32:30.6193421Z 
2022-11-23T01:32:30.6193882Z [2022-11-23 01:28:33,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6194197Z [2022-11-23 01:28:33,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6194548Z [2022-11-23 01:28:33,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6194963Z [2022-11-23 01:28:33,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6195409Z [2022-11-23 01:28:33,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6195764Z [2022-11-23 01:28:33,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6196164Z [2022-11-23 01:28:33,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6196520Z [2022-11-23 01:28:33,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6196891Z [2022-11-23 01:28:33,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6197439Z [2022-11-23 01:28:33,976] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6197804Z [2022-11-23 01:28:33,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6198149Z [2022-11-23 01:28:33,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6198561Z [2022-11-23 01:28:33,977] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6198931Z [2022-11-23 01:28:33,980] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6199242Z [2022-11-23 01:28:33,980] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6199448Z  __compiled_fn_302 <eval_with_key>.1861 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6199585Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6199721Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6199876Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T01:32:30.6200133Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6200280Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6200288Z 
2022-11-23T01:32:30.6200767Z [2022-11-23 01:28:33,980] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6200915Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6201054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6201190Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6201335Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6201469Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6201597Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6201716Z              12 RETURN_VALUE
2022-11-23T01:32:30.6201724Z 
2022-11-23T01:32:30.6201825Z  
2022-11-23T01:32:30.6202334Z [2022-11-23 01:28:33,981] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6202524Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_302)
2022-11-23T01:32:30.6202662Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6202800Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6202920Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6203050Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6203190Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6203308Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6203448Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6203609Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6203810Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6203958Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6204085Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6204232Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6204389Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6204525Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6204645Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6204783Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6204930Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6205072Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6205208Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6205330Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6205487Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6205627Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6205775Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6205908Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6206029Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6206174Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6206294Z              54 RETURN_VALUE
2022-11-23T01:32:30.6206302Z 
2022-11-23T01:32:30.6206398Z  
2022-11-23T01:32:30.6206672Z [2022-11-23 01:28:33,982] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6206782Z  - 
2022-11-23T01:32:30.6207002Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6207106Z             {
2022-11-23T01:32:30.6207311Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6207586Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6207799Z                 'obj_weakref': None
2022-11-23T01:32:30.6208124Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6208227Z             }
2022-11-23T01:32:30.6208328Z             
2022-11-23T01:32:30.6208440Z  - 
2022-11-23T01:32:30.6208619Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6208720Z             {
2022-11-23T01:32:30.6208934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6209097Z                 'code': None,
2022-11-23T01:32:30.6209406Z                 'obj_weakref': <weakref at 0x7f202333bc40; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6209772Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6209873Z             }
2022-11-23T01:32:30.6209965Z             
2022-11-23T01:32:30.6210077Z  - 
2022-11-23T01:32:30.6210268Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6210370Z             {
2022-11-23T01:32:30.6210584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6210748Z                 'code': None,
2022-11-23T01:32:30.6211051Z                 'obj_weakref': <weakref at 0x7f20680bf6f0; to 'Tensor' at 0x7f21159b7ba0>
2022-11-23T01:32:30.6211395Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6211497Z             }
2022-11-23T01:32:30.6211598Z             
2022-11-23T01:32:30.6211709Z  - 
2022-11-23T01:32:30.6211908Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6212009Z             {
2022-11-23T01:32:30.6212212Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6212459Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6212640Z                 'obj_weakref': None
2022-11-23T01:32:30.6212971Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6213077Z             }
2022-11-23T01:32:30.6213178Z             
2022-11-23T01:32:30.6213288Z  - 
2022-11-23T01:32:30.6213474Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6213566Z             {
2022-11-23T01:32:30.6213771Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6214096Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6214278Z                 'obj_weakref': None
2022-11-23T01:32:30.6214605Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6214705Z             }
2022-11-23T01:32:30.6214804Z             
2022-11-23T01:32:30.6214906Z  - 
2022-11-23T01:32:30.6215177Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6215278Z             {
2022-11-23T01:32:30.6215530Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6216568Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:30.6216750Z                 'obj_weakref': None
2022-11-23T01:32:30.6217076Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6217176Z             }
2022-11-23T01:32:30.6217307Z             
2022-11-23T01:32:30.6217418Z  - 
2022-11-23T01:32:30.6217693Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6217797Z             {
2022-11-23T01:32:30.6218043Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6218450Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:30.6218631Z                 'obj_weakref': None
2022-11-23T01:32:30.6219114Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6219209Z             }
2022-11-23T01:32:30.6219310Z             
2022-11-23T01:32:30.6219425Z  - 
2022-11-23T01:32:30.6219699Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6219805Z             {
2022-11-23T01:32:30.6220019Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6220425Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:30.6220597Z                 'obj_weakref': None
2022-11-23T01:32:30.6220921Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6221022Z             }
2022-11-23T01:32:30.6221124Z             
2022-11-23T01:32:30.6221236Z  - 
2022-11-23T01:32:30.6221510Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6221610Z             {
2022-11-23T01:32:30.6221814Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6222213Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:30.6222394Z                 'obj_weakref': None
2022-11-23T01:32:30.6222711Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6222817Z             }
2022-11-23T01:32:30.6222919Z             
2022-11-23T01:32:30.6223031Z  - 
2022-11-23T01:32:30.6223293Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6223401Z             {
2022-11-23T01:32:30.6223614Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6224023Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:30.6224204Z                 'obj_weakref': None
2022-11-23T01:32:30.6224514Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6224616Z             }
2022-11-23T01:32:30.6224717Z             
2022-11-23T01:32:30.6225093Z [2022-11-23 01:28:33,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294
2022-11-23T01:32:30.6225101Z 
2022-11-23T01:32:30.6225252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6225362Z import torch
2022-11-23T01:32:30.6225473Z import random
2022-11-23T01:32:30.6225652Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6225842Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6225850Z 
2022-11-23T01:32:30.6225975Z aten = torch.ops.aten
2022-11-23T01:32:30.6226171Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6226315Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6226323Z 
2022-11-23T01:32:30.6226434Z import triton
2022-11-23T01:32:30.6226576Z import triton.language as tl
2022-11-23T01:32:30.6226763Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6226975Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6226984Z 
2022-11-23T01:32:30.6226991Z 
2022-11-23T01:32:30.6227196Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6227566Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6227746Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6227908Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6228097Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6228194Z {
2022-11-23T01:32:30.6228344Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6228444Z     {
2022-11-23T01:32:30.6228566Z         #pragma omp for 
2022-11-23T01:32:30.6228685Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:30.6228788Z         {
2022-11-23T01:32:30.6229008Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6229209Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6229414Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6229550Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6229678Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6229827Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6229921Z         }
2022-11-23T01:32:30.6230069Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6230198Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:30.6230410Z         {
2022-11-23T01:32:30.6230543Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6230672Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6230827Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6230949Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6231082Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6231207Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6231309Z         }
2022-11-23T01:32:30.6231407Z     }
2022-11-23T01:32:30.6231502Z }
2022-11-23T01:32:30.6231629Z ''')
2022-11-23T01:32:30.6231645Z 
2022-11-23T01:32:30.6231652Z 
2022-11-23T01:32:30.6231781Z async_compile.wait(globals())
2022-11-23T01:32:30.6231897Z del async_compile
2022-11-23T01:32:30.6231905Z 
2022-11-23T01:32:30.6232019Z def call(args):
2022-11-23T01:32:30.6232138Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6232250Z     args.clear()
2022-11-23T01:32:30.6232541Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6232791Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6232890Z     del arg0_1
2022-11-23T01:32:30.6233001Z     del arg1_1
2022-11-23T01:32:30.6233113Z     return (buf0, )
2022-11-23T01:32:30.6233121Z 
2022-11-23T01:32:30.6233128Z 
2022-11-23T01:32:30.6233248Z if __name__ == "__main__":
2022-11-23T01:32:30.6233423Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6233613Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6233906Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6234192Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6234364Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6234372Z 
2022-11-23T01:32:30.6234379Z 
2022-11-23T01:32:30.6234525Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6234639Z import torch
2022-11-23T01:32:30.6234748Z import random
2022-11-23T01:32:30.6234925Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6235108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6235116Z 
2022-11-23T01:32:30.6235238Z aten = torch.ops.aten
2022-11-23T01:32:30.6235440Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6235573Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6235581Z 
2022-11-23T01:32:30.6235690Z import triton
2022-11-23T01:32:30.6235827Z import triton.language as tl
2022-11-23T01:32:30.6236013Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6236224Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6236232Z 
2022-11-23T01:32:30.6236299Z 
2022-11-23T01:32:30.6236505Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6236804Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6237019Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6237171Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6237324Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6237423Z {
2022-11-23T01:32:30.6237573Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6237674Z     {
2022-11-23T01:32:30.6237796Z         #pragma omp for 
2022-11-23T01:32:30.6237926Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.6238018Z         {
2022-11-23T01:32:30.6238220Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6238420Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6238555Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6238701Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6238803Z         }
2022-11-23T01:32:30.6238951Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6239081Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.6239188Z         {
2022-11-23T01:32:30.6239322Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6239454Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6239584Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6239716Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6239821Z         }
2022-11-23T01:32:30.6239911Z     }
2022-11-23T01:32:30.6240007Z }
2022-11-23T01:32:30.6240136Z ''')
2022-11-23T01:32:30.6240145Z 
2022-11-23T01:32:30.6240152Z 
2022-11-23T01:32:30.6240292Z async_compile.wait(globals())
2022-11-23T01:32:30.6240408Z del async_compile
2022-11-23T01:32:30.6240416Z 
2022-11-23T01:32:30.6240526Z def call(args):
2022-11-23T01:32:30.6240643Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6240750Z     args.clear()
2022-11-23T01:32:30.6241041Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6241284Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6241398Z     del arg0_1
2022-11-23T01:32:30.6241504Z     del arg1_1
2022-11-23T01:32:30.6241618Z     return (buf0, )
2022-11-23T01:32:30.6241626Z 
2022-11-23T01:32:30.6241632Z 
2022-11-23T01:32:30.6241752Z if __name__ == "__main__":
2022-11-23T01:32:30.6241917Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6242107Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6242451Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6242745Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6242921Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6242929Z 
2022-11-23T01:32:30.6242940Z 
2022-11-23T01:32:30.6243084Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6243196Z import torch
2022-11-23T01:32:30.6243307Z import random
2022-11-23T01:32:30.6243478Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6243662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6243670Z 
2022-11-23T01:32:30.6243791Z aten = torch.ops.aten
2022-11-23T01:32:30.6243993Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6244136Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6244143Z 
2022-11-23T01:32:30.6244257Z import triton
2022-11-23T01:32:30.6244394Z import triton.language as tl
2022-11-23T01:32:30.6244581Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6244781Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6244789Z 
2022-11-23T01:32:30.6244806Z 
2022-11-23T01:32:30.6245000Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6245345Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6245528Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6245729Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6245881Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6245981Z {
2022-11-23T01:32:30.6246134Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6246224Z     {
2022-11-23T01:32:30.6246346Z         #pragma omp for 
2022-11-23T01:32:30.6246475Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.6246578Z         {
2022-11-23T01:32:30.6246778Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6246976Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6247175Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6247302Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6247433Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6247574Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6247676Z         }
2022-11-23T01:32:30.6247826Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6247958Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.6248059Z         {
2022-11-23T01:32:30.6248183Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6248313Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6248467Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6248600Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6248732Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6248858Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6248957Z         }
2022-11-23T01:32:30.6249046Z     }
2022-11-23T01:32:30.6249145Z }
2022-11-23T01:32:30.6249274Z ''')
2022-11-23T01:32:30.6249282Z 
2022-11-23T01:32:30.6249289Z 
2022-11-23T01:32:30.6249425Z async_compile.wait(globals())
2022-11-23T01:32:30.6249545Z del async_compile
2022-11-23T01:32:30.6249553Z 
2022-11-23T01:32:30.6249664Z def call(args):
2022-11-23T01:32:30.6249781Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6249891Z     args.clear()
2022-11-23T01:32:30.6250181Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6250426Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6250535Z     del arg0_1
2022-11-23T01:32:30.6250642Z     del arg1_1
2022-11-23T01:32:30.6250759Z     return (buf0, )
2022-11-23T01:32:30.6250767Z 
2022-11-23T01:32:30.6250774Z 
2022-11-23T01:32:30.6250893Z if __name__ == "__main__":
2022-11-23T01:32:30.6251067Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6251245Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6251604Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6251933Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6252109Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6252120Z 
2022-11-23T01:32:30.6252656Z [2022-11-23 01:28:33,998] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ge/cgeive44xdk3kmgrogaglxnegtc3or6oamgpcfcaqxdz5lwvkya7.py
2022-11-23T01:32:30.6253047Z [2022-11-23 01:28:33,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294
2022-11-23T01:32:30.6253394Z [2022-11-23 01:28:34,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6253855Z [2022-11-23 01:28:34,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6254180Z [2022-11-23 01:28:34,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6254585Z [2022-11-23 01:28:34,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6254997Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6255501Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6256008Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6256481Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6257024Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6257169Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6257310Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6257426Z               4 BINARY_ADD
2022-11-23T01:32:30.6257564Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6257706Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6257842Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6257980Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6258101Z              14 BINARY_ADD
2022-11-23T01:32:30.6258238Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6258356Z              18 RETURN_VALUE
2022-11-23T01:32:30.6258444Z  
2022-11-23T01:32:30.6258462Z 
2022-11-23T01:32:30.6259075Z [2022-11-23 01:28:34,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6259413Z [2022-11-23 01:28:34,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6259773Z [2022-11-23 01:28:34,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6260192Z [2022-11-23 01:28:34,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6260551Z [2022-11-23 01:28:34,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6260969Z [2022-11-23 01:28:34,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6261414Z [2022-11-23 01:28:34,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6261764Z [2022-11-23 01:28:34,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6262171Z [2022-11-23 01:28:34,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6262518Z [2022-11-23 01:28:34,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6262887Z [2022-11-23 01:28:34,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6263436Z [2022-11-23 01:28:34,006] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6263800Z [2022-11-23 01:28:34,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6264147Z [2022-11-23 01:28:34,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6264522Z [2022-11-23 01:28:34,007] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6264994Z [2022-11-23 01:28:34,010] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6265279Z [2022-11-23 01:28:34,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6265523Z  __compiled_fn_303 <eval_with_key>.1867 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6265652Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6265791Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6266050Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6266206Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T01:32:30.6266477Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6266627Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6266636Z 
2022-11-23T01:32:30.6267118Z [2022-11-23 01:28:34,011] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6267265Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6267396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6267536Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6267682Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6267814Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6267951Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6268071Z              12 RETURN_VALUE
2022-11-23T01:32:30.6268079Z 
2022-11-23T01:32:30.6268180Z  
2022-11-23T01:32:30.6268660Z [2022-11-23 01:28:34,011] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6268820Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_303)
2022-11-23T01:32:30.6268958Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6269098Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6269221Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6269361Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6269498Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6269618Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6269749Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6269908Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6270108Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6270373Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6270512Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6270658Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6270815Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6270943Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6271062Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6271202Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6271350Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6271503Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6271645Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6271767Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6271914Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6272055Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6272203Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6272338Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6272458Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6272614Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6272732Z              54 RETURN_VALUE
2022-11-23T01:32:30.6272741Z 
2022-11-23T01:32:30.6272838Z  
2022-11-23T01:32:30.6273110Z [2022-11-23 01:28:34,012] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6273227Z  - 
2022-11-23T01:32:30.6273464Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6273569Z             {
2022-11-23T01:32:30.6273786Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6274062Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6274277Z                 'obj_weakref': None
2022-11-23T01:32:30.6274596Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6274699Z             }
2022-11-23T01:32:30.6274801Z             
2022-11-23T01:32:30.6274913Z  - 
2022-11-23T01:32:30.6275101Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6275201Z             {
2022-11-23T01:32:30.6275414Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6275571Z                 'code': None,
2022-11-23T01:32:30.6275877Z                 'obj_weakref': <weakref at 0x7f20681b4310; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6276245Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6276347Z             }
2022-11-23T01:32:30.6276449Z             
2022-11-23T01:32:30.6276558Z  - 
2022-11-23T01:32:30.6276750Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6276842Z             {
2022-11-23T01:32:30.6277055Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6277219Z                 'code': None,
2022-11-23T01:32:30.6277521Z                 'obj_weakref': <weakref at 0x7f20606b98a0; to 'Tensor' at 0x7f201e20e2f0>
2022-11-23T01:32:30.6277879Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6277981Z             }
2022-11-23T01:32:30.6278081Z             
2022-11-23T01:32:30.6278184Z  - 
2022-11-23T01:32:30.6278385Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6278486Z             {
2022-11-23T01:32:30.6278688Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6278946Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6279127Z                 'obj_weakref': None
2022-11-23T01:32:30.6279458Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6279554Z             }
2022-11-23T01:32:30.6279657Z             
2022-11-23T01:32:30.6279766Z  - 
2022-11-23T01:32:30.6279951Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6280052Z             {
2022-11-23T01:32:30.6280257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6280579Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6280751Z                 'obj_weakref': None
2022-11-23T01:32:30.6281077Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6281177Z             }
2022-11-23T01:32:30.6281278Z             
2022-11-23T01:32:30.6281388Z  - 
2022-11-23T01:32:30.6281658Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6281759Z             {
2022-11-23T01:32:30.6282003Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6283040Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:30.6283227Z                 'obj_weakref': None
2022-11-23T01:32:30.6283558Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6283659Z             }
2022-11-23T01:32:30.6283806Z             
2022-11-23T01:32:30.6283917Z  - 
2022-11-23T01:32:30.6284196Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6284288Z             {
2022-11-23T01:32:30.6284541Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6284946Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:30.6285128Z                 'obj_weakref': None
2022-11-23T01:32:30.6285447Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6285548Z             }
2022-11-23T01:32:30.6285651Z             
2022-11-23T01:32:30.6285761Z  - 
2022-11-23T01:32:30.6286024Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6286125Z             {
2022-11-23T01:32:30.6286337Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6286739Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:30.6286921Z                 'obj_weakref': None
2022-11-23T01:32:30.6287239Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6287342Z             }
2022-11-23T01:32:30.6287433Z             
2022-11-23T01:32:30.6287543Z  - 
2022-11-23T01:32:30.6287814Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6287915Z             {
2022-11-23T01:32:30.6288128Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6288524Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:30.6288704Z                 'obj_weakref': None
2022-11-23T01:32:30.6289005Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6289109Z             }
2022-11-23T01:32:30.6289210Z             
2022-11-23T01:32:30.6289320Z  - 
2022-11-23T01:32:30.6289593Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6289697Z             {
2022-11-23T01:32:30.6289912Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6290309Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:30.6290490Z                 'obj_weakref': None
2022-11-23T01:32:30.6290804Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6290906Z             }
2022-11-23T01:32:30.6291006Z             
2022-11-23T01:32:30.6291389Z [2022-11-23 01:28:34,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295
2022-11-23T01:32:30.6291927Z [2022-11-23 01:28:34,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2x/c2xcrf5n2ljddofbfvxt75y6yugylszo2uzhymfhuxyj2lwjwhrl.py
2022-11-23T01:32:30.6292317Z [2022-11-23 01:28:34,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295
2022-11-23T01:32:30.6292673Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6293129Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6293453Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6293831Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6294241Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6294754Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6295263Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6295759Z [2022-11-23 01:28:34,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6296301Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6296448Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6296594Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6296729Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6296870Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6297009Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6297124Z              10 BINARY_ADD
2022-11-23T01:32:30.6297262Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6297385Z              14 RETURN_VALUE
2022-11-23T01:32:30.6297482Z  
2022-11-23T01:32:30.6297490Z 
2022-11-23T01:32:30.6297941Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6298256Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6298615Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6299201Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6299660Z [2022-11-23 01:28:34,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6300015Z [2022-11-23 01:28:34,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6300420Z [2022-11-23 01:28:34,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6300779Z [2022-11-23 01:28:34,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6301144Z [2022-11-23 01:28:34,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6301695Z [2022-11-23 01:28:34,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6302049Z [2022-11-23 01:28:34,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6302397Z [2022-11-23 01:28:34,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6302775Z [2022-11-23 01:28:34,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6303147Z [2022-11-23 01:28:34,078] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6303430Z [2022-11-23 01:28:34,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6303633Z  __compiled_fn_304 <eval_with_key>.1873 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6303770Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6303906Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6304049Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T01:32:30.6304318Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6304466Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6304475Z 
2022-11-23T01:32:30.6305079Z [2022-11-23 01:28:34,079] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6305226Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6305448Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6305581Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6305722Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6305845Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6305983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6306103Z              12 RETURN_VALUE
2022-11-23T01:32:30.6306112Z 
2022-11-23T01:32:30.6306210Z  
2022-11-23T01:32:30.6306692Z [2022-11-23 01:28:34,079] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6306856Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_304)
2022-11-23T01:32:30.6307000Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6307137Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6307248Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6307388Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6307529Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6307649Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6307783Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6307941Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6308138Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6308279Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6308415Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6308561Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6308719Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6308859Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6308980Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6309114Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6309252Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6309402Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6309537Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6309657Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6309813Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6309955Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6310106Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6310233Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6310472Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6310629Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6310750Z              54 RETURN_VALUE
2022-11-23T01:32:30.6310764Z 
2022-11-23T01:32:30.6310863Z  
2022-11-23T01:32:30.6311142Z [2022-11-23 01:28:34,080] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6311253Z  - 
2022-11-23T01:32:30.6311431Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6311539Z             {
2022-11-23T01:32:30.6311758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6312035Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6312217Z                 'obj_weakref': None
2022-11-23T01:32:30.6312543Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6312648Z             }
2022-11-23T01:32:30.6312748Z             
2022-11-23T01:32:30.6312851Z  - 
2022-11-23T01:32:30.6313043Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6313143Z             {
2022-11-23T01:32:30.6313361Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6313575Z                 'code': None,
2022-11-23T01:32:30.6313883Z                 'obj_weakref': <weakref at 0x7f201e37b010; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6314245Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6314368Z             }
2022-11-23T01:32:30.6314468Z             
2022-11-23T01:32:30.6314582Z  - 
2022-11-23T01:32:30.6314769Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6314869Z             {
2022-11-23T01:32:30.6315081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6315236Z                 'code': None,
2022-11-23T01:32:30.6315542Z                 'obj_weakref': <weakref at 0x7f2115c43b00; to 'Tensor' at 0x7f2060155a30>
2022-11-23T01:32:30.6315895Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6315996Z             }
2022-11-23T01:32:30.6316097Z             
2022-11-23T01:32:30.6316209Z  - 
2022-11-23T01:32:30.6316411Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6316504Z             {
2022-11-23T01:32:30.6316707Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6316965Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6317149Z                 'obj_weakref': None
2022-11-23T01:32:30.6317478Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6317580Z             }
2022-11-23T01:32:30.6317679Z             
2022-11-23T01:32:30.6317781Z  - 
2022-11-23T01:32:30.6317966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6318067Z             {
2022-11-23T01:32:30.6318272Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6318589Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6318770Z                 'obj_weakref': None
2022-11-23T01:32:30.6319099Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6319199Z             }
2022-11-23T01:32:30.6319290Z             
2022-11-23T01:32:30.6319402Z  - 
2022-11-23T01:32:30.6319670Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6319771Z             {
2022-11-23T01:32:30.6320023Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6320789Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:30.6320973Z                 'obj_weakref': None
2022-11-23T01:32:30.6321293Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6321390Z             }
2022-11-23T01:32:30.6321489Z             
2022-11-23T01:32:30.6321602Z  - 
2022-11-23T01:32:30.6321878Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6321981Z             {
2022-11-23T01:32:30.6322196Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6322606Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:30.6322780Z                 'obj_weakref': None
2022-11-23T01:32:30.6323098Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6323200Z             }
2022-11-23T01:32:30.6323306Z             
2022-11-23T01:32:30.6323416Z  - 
2022-11-23T01:32:30.6323689Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6323790Z             {
2022-11-23T01:32:30.6323993Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6324441Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:30.6324622Z                 'obj_weakref': None
2022-11-23T01:32:30.6324969Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6325070Z             }
2022-11-23T01:32:30.6325169Z             
2022-11-23T01:32:30.6325554Z [2022-11-23 01:28:34,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296
2022-11-23T01:32:30.6326091Z [2022-11-23 01:28:34,094] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ev/cevlcdsrdnda6xxd5egrs7gpvy4gfibrjcq23krka3oebgpog3dz.py
2022-11-23T01:32:30.6326470Z [2022-11-23 01:28:34,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296
2022-11-23T01:32:30.6326824Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6327286Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6327615Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6327992Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6328401Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6328873Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6329381Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6329855Z [2022-11-23 01:28:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6330398Z [2022-11-23 01:28:34,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6330536Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6330676Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6330790Z               4 BINARY_ADD
2022-11-23T01:32:30.6330936Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6331078Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6331212Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6331350Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6331455Z              14 BINARY_ADD
2022-11-23T01:32:30.6331617Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6331752Z              18 RETURN_VALUE
2022-11-23T01:32:30.6331860Z  
2022-11-23T01:32:30.6331868Z 
2022-11-23T01:32:30.6332330Z [2022-11-23 01:28:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6332645Z [2022-11-23 01:28:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6333001Z [2022-11-23 01:28:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6333416Z [2022-11-23 01:28:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6333767Z [2022-11-23 01:28:34,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6334181Z [2022-11-23 01:28:34,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6334676Z [2022-11-23 01:28:34,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6335027Z [2022-11-23 01:28:34,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6335459Z [2022-11-23 01:28:34,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6335819Z [2022-11-23 01:28:34,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6336185Z [2022-11-23 01:28:34,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6336735Z [2022-11-23 01:28:34,101] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6337104Z [2022-11-23 01:28:34,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6337452Z [2022-11-23 01:28:34,101] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6337825Z [2022-11-23 01:28:34,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6338195Z [2022-11-23 01:28:34,105] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6338477Z [2022-11-23 01:28:34,106] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6338684Z  __compiled_fn_305 <eval_with_key>.1879 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6339008Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6339139Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6339405Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6339557Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T01:32:30.6339824Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6339973Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6339981Z 
2022-11-23T01:32:30.6340458Z [2022-11-23 01:28:34,106] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6340606Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6340746Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6340884Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6341027Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6341164Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6341292Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6341412Z              12 RETURN_VALUE
2022-11-23T01:32:30.6341420Z 
2022-11-23T01:32:30.6341516Z  
2022-11-23T01:32:30.6341998Z [2022-11-23 01:28:34,106] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6342163Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_305)
2022-11-23T01:32:30.6342302Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6342442Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6342566Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6342694Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6342829Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6342949Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6343085Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6343246Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6343444Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6343593Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6343720Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6343974Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6344132Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6344267Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6344423Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6344558Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6344700Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6344841Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6344979Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6345098Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6345254Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6345394Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6345540Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6345677Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6345791Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6345948Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6346066Z              54 RETURN_VALUE
2022-11-23T01:32:30.6346075Z 
2022-11-23T01:32:30.6346176Z  
2022-11-23T01:32:30.6346455Z [2022-11-23 01:28:34,107] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6346567Z  - 
2022-11-23T01:32:30.6346751Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6346844Z             {
2022-11-23T01:32:30.6347059Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6347337Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6347520Z                 'obj_weakref': None
2022-11-23T01:32:30.6347849Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6347949Z             }
2022-11-23T01:32:30.6348052Z             
2022-11-23T01:32:30.6348154Z  - 
2022-11-23T01:32:30.6348346Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6348447Z             {
2022-11-23T01:32:30.6348663Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6348828Z                 'code': None,
2022-11-23T01:32:30.6349144Z                 'obj_weakref': <weakref at 0x7f2022f11da0; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6349508Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6349610Z             }
2022-11-23T01:32:30.6349702Z             
2022-11-23T01:32:30.6349812Z  - 
2022-11-23T01:32:30.6349999Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6350101Z             {
2022-11-23T01:32:30.6350439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6350607Z                 'code': None,
2022-11-23T01:32:30.6350904Z                 'obj_weakref': <weakref at 0x7f2023096cf0; to 'Tensor' at 0x7f20606bba60>
2022-11-23T01:32:30.6351267Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6351371Z             }
2022-11-23T01:32:30.6351471Z             
2022-11-23T01:32:30.6351582Z  - 
2022-11-23T01:32:30.6351781Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6351886Z             {
2022-11-23T01:32:30.6352083Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6352339Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6352521Z                 'obj_weakref': None
2022-11-23T01:32:30.6352855Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6352959Z             }
2022-11-23T01:32:30.6353061Z             
2022-11-23T01:32:30.6353171Z  - 
2022-11-23T01:32:30.6353349Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6353452Z             {
2022-11-23T01:32:30.6353659Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6354032Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6354212Z                 'obj_weakref': None
2022-11-23T01:32:30.6354538Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6354675Z             }
2022-11-23T01:32:30.6354775Z             
2022-11-23T01:32:30.6354879Z  - 
2022-11-23T01:32:30.6355147Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6355247Z             {
2022-11-23T01:32:30.6355495Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6356263Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:30.6356448Z                 'obj_weakref': None
2022-11-23T01:32:30.6356775Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6356881Z             }
2022-11-23T01:32:30.6356978Z             
2022-11-23T01:32:30.6357088Z  - 
2022-11-23T01:32:30.6357364Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6357467Z             {
2022-11-23T01:32:30.6357683Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6358095Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:30.6358275Z                 'obj_weakref': None
2022-11-23T01:32:30.6358583Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6358684Z             }
2022-11-23T01:32:30.6358786Z             
2022-11-23T01:32:30.6358896Z  - 
2022-11-23T01:32:30.6359174Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6359275Z             {
2022-11-23T01:32:30.6359487Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6359878Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:30.6360064Z                 'obj_weakref': None
2022-11-23T01:32:30.6360378Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6360479Z             }
2022-11-23T01:32:30.6360580Z             
2022-11-23T01:32:30.6360964Z [2022-11-23 01:28:34,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297
2022-11-23T01:32:30.6360973Z 
2022-11-23T01:32:30.6361119Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6361230Z import torch
2022-11-23T01:32:30.6361332Z import random
2022-11-23T01:32:30.6361505Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6361724Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6361733Z 
2022-11-23T01:32:30.6361873Z aten = torch.ops.aten
2022-11-23T01:32:30.6362078Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6362226Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6362234Z 
2022-11-23T01:32:30.6362346Z import triton
2022-11-23T01:32:30.6362470Z import triton.language as tl
2022-11-23T01:32:30.6362656Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6362865Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6362874Z 
2022-11-23T01:32:30.6362881Z 
2022-11-23T01:32:30.6363089Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6363388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6363571Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6363779Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6363936Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6364025Z {
2022-11-23T01:32:30.6364177Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6364304Z     {
2022-11-23T01:32:30.6364424Z         #pragma omp for 
2022-11-23T01:32:30.6364556Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.6364659Z         {
2022-11-23T01:32:30.6364878Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6365073Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6365206Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6365349Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6365450Z         }
2022-11-23T01:32:30.6365595Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6365728Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.6365827Z         {
2022-11-23T01:32:30.6365951Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6366085Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6366219Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6366343Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6366449Z         }
2022-11-23T01:32:30.6366546Z     }
2022-11-23T01:32:30.6366640Z }
2022-11-23T01:32:30.6366763Z ''')
2022-11-23T01:32:30.6366771Z 
2022-11-23T01:32:30.6366778Z 
2022-11-23T01:32:30.6366916Z async_compile.wait(globals())
2022-11-23T01:32:30.6367034Z del async_compile
2022-11-23T01:32:30.6367042Z 
2022-11-23T01:32:30.6367154Z def call(args):
2022-11-23T01:32:30.6367272Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6367384Z     args.clear()
2022-11-23T01:32:30.6367703Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6367941Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6368049Z     del arg0_1
2022-11-23T01:32:30.6368156Z     del arg1_1
2022-11-23T01:32:30.6368272Z     return (buf0, )
2022-11-23T01:32:30.6368280Z 
2022-11-23T01:32:30.6368287Z 
2022-11-23T01:32:30.6368403Z if __name__ == "__main__":
2022-11-23T01:32:30.6368576Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6368769Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6369116Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6369423Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6369600Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6369608Z 
2022-11-23T01:32:30.6369615Z 
2022-11-23T01:32:30.6369760Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6369869Z import torch
2022-11-23T01:32:30.6369983Z import random
2022-11-23T01:32:30.6370165Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6370353Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6370361Z 
2022-11-23T01:32:30.6370477Z aten = torch.ops.aten
2022-11-23T01:32:30.6370672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6370817Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6370825Z 
2022-11-23T01:32:30.6370936Z import triton
2022-11-23T01:32:30.6371075Z import triton.language as tl
2022-11-23T01:32:30.6371263Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6371471Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6371479Z 
2022-11-23T01:32:30.6371486Z 
2022-11-23T01:32:30.6371689Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6371990Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6372163Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6372324Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6372550Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6372651Z {
2022-11-23T01:32:30.6372802Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6372900Z     {
2022-11-23T01:32:30.6373050Z         #pragma omp for 
2022-11-23T01:32:30.6373171Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:32:30.6373272Z         {
2022-11-23T01:32:30.6373476Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6373677Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6373878Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6374010Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6374141Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6374281Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6374373Z         }
2022-11-23T01:32:30.6374521Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6374654Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:30.6374754Z         {
2022-11-23T01:32:30.6374886Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6375018Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6375177Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6375299Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6375428Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6375552Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6375652Z         }
2022-11-23T01:32:30.6375749Z     }
2022-11-23T01:32:30.6375845Z }
2022-11-23T01:32:30.6375966Z ''')
2022-11-23T01:32:30.6375974Z 
2022-11-23T01:32:30.6375993Z 
2022-11-23T01:32:30.6376123Z async_compile.wait(globals())
2022-11-23T01:32:30.6376238Z del async_compile
2022-11-23T01:32:30.6376246Z 
2022-11-23T01:32:30.6376358Z def call(args):
2022-11-23T01:32:30.6376476Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6376588Z     args.clear()
2022-11-23T01:32:30.6376913Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6377160Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6377260Z     del arg0_1
2022-11-23T01:32:30.6377370Z     del arg1_1
2022-11-23T01:32:30.6377483Z     return (buf0, )
2022-11-23T01:32:30.6377491Z 
2022-11-23T01:32:30.6377498Z 
2022-11-23T01:32:30.6377615Z if __name__ == "__main__":
2022-11-23T01:32:30.6377790Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6377978Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6378320Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6378635Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6378801Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6378809Z 
2022-11-23T01:32:30.6378965Z 
2022-11-23T01:32:30.6379113Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6379225Z import torch
2022-11-23T01:32:30.6379335Z import random
2022-11-23T01:32:30.6379511Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6379698Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6379706Z 
2022-11-23T01:32:30.6379827Z aten = torch.ops.aten
2022-11-23T01:32:30.6380027Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6380158Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6380166Z 
2022-11-23T01:32:30.6380274Z import triton
2022-11-23T01:32:30.6380413Z import triton.language as tl
2022-11-23T01:32:30.6380596Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6380805Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6380813Z 
2022-11-23T01:32:30.6380820Z 
2022-11-23T01:32:30.6381026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6381391Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6381574Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6381725Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6381917Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6382014Z {
2022-11-23T01:32:30.6382164Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6382261Z     {
2022-11-23T01:32:30.6382381Z         #pragma omp for 
2022-11-23T01:32:30.6382509Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6382601Z         {
2022-11-23T01:32:30.6382804Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6383004Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6383135Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6383276Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6383378Z         }
2022-11-23T01:32:30.6383530Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6383654Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6383753Z         {
2022-11-23T01:32:30.6383884Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6384018Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6384148Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6384273Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6384373Z         }
2022-11-23T01:32:30.6384463Z     }
2022-11-23T01:32:30.6384559Z }
2022-11-23T01:32:30.6384690Z ''')
2022-11-23T01:32:30.6384698Z 
2022-11-23T01:32:30.6384705Z 
2022-11-23T01:32:30.6384843Z async_compile.wait(globals())
2022-11-23T01:32:30.6384957Z del async_compile
2022-11-23T01:32:30.6384965Z 
2022-11-23T01:32:30.6385077Z def call(args):
2022-11-23T01:32:30.6385195Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6385294Z     args.clear()
2022-11-23T01:32:30.6385593Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6385839Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6385947Z     del arg0_1
2022-11-23T01:32:30.6386054Z     del arg1_1
2022-11-23T01:32:30.6386168Z     return (buf0, )
2022-11-23T01:32:30.6386180Z 
2022-11-23T01:32:30.6386187Z 
2022-11-23T01:32:30.6386305Z if __name__ == "__main__":
2022-11-23T01:32:30.6386482Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6386660Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6386966Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6387259Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6387434Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6387442Z 
2022-11-23T01:32:30.6387970Z [2022-11-23 01:28:34,145] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7n/c7nzbeyq2qmyl7rfiwbd3b4j3lianjcelw63dcfarfjfeuclnmpj.py
2022-11-23T01:32:30.6388369Z [2022-11-23 01:28:34,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297
2022-11-23T01:32:30.6388723Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6389186Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6389514Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6389875Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6390358Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6390875Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6391390Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6391889Z [2022-11-23 01:28:34,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6392433Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6392575Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6392718Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6392862Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6392988Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6393126Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6393244Z              10 BINARY_ADD
2022-11-23T01:32:30.6393380Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6393501Z              14 RETURN_VALUE
2022-11-23T01:32:30.6393601Z  
2022-11-23T01:32:30.6393609Z 
2022-11-23T01:32:30.6394070Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6394381Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6394734Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6395149Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6395597Z [2022-11-23 01:28:34,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6395949Z [2022-11-23 01:28:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6396352Z [2022-11-23 01:28:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6396717Z [2022-11-23 01:28:34,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6397076Z [2022-11-23 01:28:34,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6397626Z [2022-11-23 01:28:34,155] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6397991Z [2022-11-23 01:28:34,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6398342Z [2022-11-23 01:28:34,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6398709Z [2022-11-23 01:28:34,157] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6399081Z [2022-11-23 01:28:34,160] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6399367Z [2022-11-23 01:28:34,160] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6399574Z  __compiled_fn_306 <eval_with_key>.1885 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6399715Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6399852Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6400005Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T01:32:30.6400263Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6400416Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6400424Z 
2022-11-23T01:32:30.6400941Z [2022-11-23 01:28:34,161] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6401087Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6401226Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6401392Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6401535Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6401666Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6401796Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6401911Z              12 RETURN_VALUE
2022-11-23T01:32:30.6401919Z 
2022-11-23T01:32:30.6402019Z  
2022-11-23T01:32:30.6402503Z [2022-11-23 01:28:34,161] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6402670Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_306)
2022-11-23T01:32:30.6402807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6402951Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6403073Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6403202Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6403340Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6403464Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6403602Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6403764Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6403964Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6404112Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6404239Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6404386Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6404544Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6404681Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6404807Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6404943Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6405087Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6405231Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6405372Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6405492Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6405648Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6405790Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6405942Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6406080Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6406201Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6406349Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6406469Z              54 RETURN_VALUE
2022-11-23T01:32:30.6406477Z 
2022-11-23T01:32:30.6406576Z  
2022-11-23T01:32:30.6406856Z [2022-11-23 01:28:34,162] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6406969Z  - 
2022-11-23T01:32:30.6407152Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6407260Z             {
2022-11-23T01:32:30.6407469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6407747Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6407929Z                 'obj_weakref': None
2022-11-23T01:32:30.6408251Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6408354Z             }
2022-11-23T01:32:30.6408455Z             
2022-11-23T01:32:30.6408566Z  - 
2022-11-23T01:32:30.6408747Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6408850Z             {
2022-11-23T01:32:30.6409063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6409226Z                 'code': None,
2022-11-23T01:32:30.6409573Z                 'obj_weakref': <weakref at 0x7f20233576a0; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6409936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6410071Z             }
2022-11-23T01:32:30.6410163Z             
2022-11-23T01:32:30.6410277Z  - 
2022-11-23T01:32:30.6410464Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6410566Z             {
2022-11-23T01:32:30.6410779Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6410945Z                 'code': None,
2022-11-23T01:32:30.6411240Z                 'obj_weakref': <weakref at 0x7f201e37a160; to 'Tensor' at 0x7f2115bd3a60>
2022-11-23T01:32:30.6411588Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6411691Z             }
2022-11-23T01:32:30.6411789Z             
2022-11-23T01:32:30.6411902Z  - 
2022-11-23T01:32:30.6412101Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6412209Z             {
2022-11-23T01:32:30.6412414Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6412661Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6412847Z                 'obj_weakref': None
2022-11-23T01:32:30.6413182Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6413284Z             }
2022-11-23T01:32:30.6413386Z             
2022-11-23T01:32:30.6413495Z  - 
2022-11-23T01:32:30.6413677Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6413770Z             {
2022-11-23T01:32:30.6413976Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6414295Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6414482Z                 'obj_weakref': None
2022-11-23T01:32:30.6414803Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6414908Z             }
2022-11-23T01:32:30.6415007Z             
2022-11-23T01:32:30.6415109Z  - 
2022-11-23T01:32:30.6415377Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6415483Z             {
2022-11-23T01:32:30.6415735Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6416634Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:30.6416817Z                 'obj_weakref': None
2022-11-23T01:32:30.6417133Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6417235Z             }
2022-11-23T01:32:30.6417331Z             
2022-11-23T01:32:30.6417445Z  - 
2022-11-23T01:32:30.6417724Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6417827Z             {
2022-11-23T01:32:30.6418046Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6418457Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:30.6418637Z                 'obj_weakref': None
2022-11-23T01:32:30.6419086Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6419180Z             }
2022-11-23T01:32:30.6419282Z             
2022-11-23T01:32:30.6419399Z  - 
2022-11-23T01:32:30.6419676Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6419777Z             {
2022-11-23T01:32:30.6419988Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6420473Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:30.6420648Z                 'obj_weakref': None
2022-11-23T01:32:30.6420997Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6421098Z             }
2022-11-23T01:32:30.6421199Z             
2022-11-23T01:32:30.6421309Z  - 
2022-11-23T01:32:30.6421585Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6421690Z             {
2022-11-23T01:32:30.6421893Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6422297Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:30.6422480Z                 'obj_weakref': None
2022-11-23T01:32:30.6422794Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6422895Z             }
2022-11-23T01:32:30.6422996Z             
2022-11-23T01:32:30.6423383Z [2022-11-23 01:28:34,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298
2022-11-23T01:32:30.6423919Z [2022-11-23 01:28:34,175] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jz/cjzncm5brirzbfzgcejjf462ydebwp4a44mqyqt6crpd275lk6hx.py
2022-11-23T01:32:30.6424304Z [2022-11-23 01:28:34,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298
2022-11-23T01:32:30.6424656Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6425120Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6425446Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6425820Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6426232Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6426706Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6427220Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6427696Z [2022-11-23 01:28:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6428240Z [2022-11-23 01:28:34,180] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6428375Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6428516Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6428636Z               4 BINARY_ADD
2022-11-23T01:32:30.6428783Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6428927Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6429062Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6429199Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6429305Z              14 BINARY_ADD
2022-11-23T01:32:30.6429444Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6429562Z              18 RETURN_VALUE
2022-11-23T01:32:30.6429660Z  
2022-11-23T01:32:30.6429669Z 
2022-11-23T01:32:30.6430138Z [2022-11-23 01:28:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6430575Z [2022-11-23 01:28:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6430936Z [2022-11-23 01:28:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6431381Z [2022-11-23 01:28:34,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6431727Z [2022-11-23 01:28:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6432142Z [2022-11-23 01:28:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6432588Z [2022-11-23 01:28:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6432939Z [2022-11-23 01:28:34,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6433343Z [2022-11-23 01:28:34,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6433701Z [2022-11-23 01:28:34,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6434061Z [2022-11-23 01:28:34,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6434609Z [2022-11-23 01:28:34,184] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6434970Z [2022-11-23 01:28:34,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6435315Z [2022-11-23 01:28:34,184] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6435685Z [2022-11-23 01:28:34,185] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6436058Z [2022-11-23 01:28:34,188] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6436341Z [2022-11-23 01:28:34,189] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6436549Z  __compiled_fn_307 <eval_with_key>.1891 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6436688Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6436823Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6437082Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6437237Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T01:32:30.6437498Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6437643Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6437651Z 
2022-11-23T01:32:30.6438131Z [2022-11-23 01:28:34,189] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6438280Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6438427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6438561Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6438706Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6438838Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6438967Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6439087Z              12 RETURN_VALUE
2022-11-23T01:32:30.6439095Z 
2022-11-23T01:32:30.6439192Z  
2022-11-23T01:32:30.6439670Z [2022-11-23 01:28:34,189] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6439835Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_307)
2022-11-23T01:32:30.6439975Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6440113Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6440285Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6440415Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6440547Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6440699Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6440838Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6440999Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6441199Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6441349Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6441476Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6441622Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6441780Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6441915Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6442037Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6442181Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6442322Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6442463Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6442605Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6442728Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6442884Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6443025Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6443170Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6443306Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6443416Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6443571Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6443689Z              54 RETURN_VALUE
2022-11-23T01:32:30.6443698Z 
2022-11-23T01:32:30.6443796Z  
2022-11-23T01:32:30.6444077Z [2022-11-23 01:28:34,191] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6444191Z  - 
2022-11-23T01:32:30.6444374Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6444468Z             {
2022-11-23T01:32:30.6444683Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6444965Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6445147Z                 'obj_weakref': None
2022-11-23T01:32:30.6445474Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6445578Z             }
2022-11-23T01:32:30.6445681Z             
2022-11-23T01:32:30.6445784Z  - 
2022-11-23T01:32:30.6445974Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6446075Z             {
2022-11-23T01:32:30.6446290Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6446456Z                 'code': None,
2022-11-23T01:32:30.6446760Z                 'obj_weakref': <weakref at 0x7f202305a2f0; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6447127Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6447230Z             }
2022-11-23T01:32:30.6447322Z             
2022-11-23T01:32:30.6447437Z  - 
2022-11-23T01:32:30.6447623Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6447727Z             {
2022-11-23T01:32:30.6447940Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6448109Z                 'code': None,
2022-11-23T01:32:30.6448398Z                 'obj_weakref': <weakref at 0x7f2023058810; to 'Tensor' at 0x7f202333a110>
2022-11-23T01:32:30.6448753Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6448858Z             }
2022-11-23T01:32:30.6448960Z             
2022-11-23T01:32:30.6449071Z  - 
2022-11-23T01:32:30.6449271Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6449372Z             {
2022-11-23T01:32:30.6449610Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6449868Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6450050Z                 'obj_weakref': None
2022-11-23T01:32:30.6450412Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6450514Z             }
2022-11-23T01:32:30.6450616Z             
2022-11-23T01:32:30.6450726Z  - 
2022-11-23T01:32:30.6450903Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6451003Z             {
2022-11-23T01:32:30.6451209Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6451530Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6451717Z                 'obj_weakref': None
2022-11-23T01:32:30.6452039Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6452141Z             }
2022-11-23T01:32:30.6452246Z             
2022-11-23T01:32:30.6452347Z  - 
2022-11-23T01:32:30.6452616Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6452717Z             {
2022-11-23T01:32:30.6452972Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6453874Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:30.6454060Z                 'obj_weakref': None
2022-11-23T01:32:30.6454383Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6454485Z             }
2022-11-23T01:32:30.6454577Z             
2022-11-23T01:32:30.6454691Z  - 
2022-11-23T01:32:30.6454968Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6455069Z             {
2022-11-23T01:32:30.6455289Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6455703Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:30.6455887Z                 'obj_weakref': None
2022-11-23T01:32:30.6456198Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6456302Z             }
2022-11-23T01:32:30.6456400Z             
2022-11-23T01:32:30.6456511Z  - 
2022-11-23T01:32:30.6456786Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6456886Z             {
2022-11-23T01:32:30.6457099Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6457502Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:30.6457684Z                 'obj_weakref': None
2022-11-23T01:32:30.6457997Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6458102Z             }
2022-11-23T01:32:30.6458203Z             
2022-11-23T01:32:30.6458313Z  - 
2022-11-23T01:32:30.6458587Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6458679Z             {
2022-11-23T01:32:30.6459040Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6459449Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:30.6459630Z                 'obj_weakref': None
2022-11-23T01:32:30.6459947Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6460138Z             }
2022-11-23T01:32:30.6460241Z             
2022-11-23T01:32:30.6460629Z [2022-11-23 01:28:34,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299
2022-11-23T01:32:30.6461200Z [2022-11-23 01:28:34,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j7/cj7gywuknsyvuimagd4ffvq5zioew4ld2zvqi7lnrbzhrxdf5qdj.py
2022-11-23T01:32:30.6461597Z [2022-11-23 01:28:34,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299
2022-11-23T01:32:30.6461948Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6462464Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6462785Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6463168Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6463578Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6464052Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6464559Z [2022-11-23 01:28:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6465033Z [2022-11-23 01:28:34,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6465568Z [2022-11-23 01:28:34,210] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6465714Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6465859Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6466003Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6466142Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6466288Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6466403Z              10 BINARY_ADD
2022-11-23T01:32:30.6466541Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6466651Z              14 RETURN_VALUE
2022-11-23T01:32:30.6466752Z  
2022-11-23T01:32:30.6466760Z 
2022-11-23T01:32:30.6467224Z [2022-11-23 01:28:34,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6467540Z [2022-11-23 01:28:34,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6467901Z [2022-11-23 01:28:34,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6468319Z [2022-11-23 01:28:34,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6468772Z [2022-11-23 01:28:34,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6469123Z [2022-11-23 01:28:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6469524Z [2022-11-23 01:28:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6469872Z [2022-11-23 01:28:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6470240Z [2022-11-23 01:28:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6470898Z [2022-11-23 01:28:34,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6471265Z [2022-11-23 01:28:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6471641Z [2022-11-23 01:28:34,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6472014Z [2022-11-23 01:28:34,214] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6472383Z [2022-11-23 01:28:34,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6472667Z [2022-11-23 01:28:34,219] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6472874Z  __compiled_fn_308 <eval_with_key>.1897 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6473003Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6473140Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6473307Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:30.6473576Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6473722Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6473735Z 
2022-11-23T01:32:30.6474212Z [2022-11-23 01:28:34,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6474354Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6474496Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6474620Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6474762Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6474896Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6475035Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6475156Z              12 RETURN_VALUE
2022-11-23T01:32:30.6475164Z 
2022-11-23T01:32:30.6475260Z  
2022-11-23T01:32:30.6475745Z [2022-11-23 01:28:34,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6475911Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_308)
2022-11-23T01:32:30.6476046Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6476183Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6476303Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6476441Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6476580Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6476698Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6476834Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6476985Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6477183Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6477336Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6477472Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6477620Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6477785Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6477923Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6478032Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6478166Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6478307Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6478459Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6478595Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6478716Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6478872Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6479004Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6479157Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6479329Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6479452Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6479609Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6479755Z              54 RETURN_VALUE
2022-11-23T01:32:30.6479763Z 
2022-11-23T01:32:30.6479860Z  
2022-11-23T01:32:30.6480138Z [2022-11-23 01:28:34,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6480241Z  - 
2022-11-23T01:32:30.6480421Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6480522Z             {
2022-11-23T01:32:30.6480735Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6481011Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6481193Z                 'obj_weakref': None
2022-11-23T01:32:30.6481520Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6481614Z             }
2022-11-23T01:32:30.6481719Z             
2022-11-23T01:32:30.6481831Z  - 
2022-11-23T01:32:30.6482018Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6482119Z             {
2022-11-23T01:32:30.6482337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6482497Z                 'code': None,
2022-11-23T01:32:30.6482802Z                 'obj_weakref': <weakref at 0x7f20726c02c0; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6483165Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6483270Z             }
2022-11-23T01:32:30.6483369Z             
2022-11-23T01:32:30.6483479Z  - 
2022-11-23T01:32:30.6483668Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6483772Z             {
2022-11-23T01:32:30.6483975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6484138Z                 'code': None,
2022-11-23T01:32:30.6484446Z                 'obj_weakref': <weakref at 0x7f20726c0770; to 'Tensor' at 0x7f201e20e7f0>
2022-11-23T01:32:30.6484801Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6484903Z             }
2022-11-23T01:32:30.6485007Z             
2022-11-23T01:32:30.6485119Z  - 
2022-11-23T01:32:30.6485310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6485413Z             {
2022-11-23T01:32:30.6485619Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6485877Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6486060Z                 'obj_weakref': None
2022-11-23T01:32:30.6486392Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6486497Z             }
2022-11-23T01:32:30.6486588Z             
2022-11-23T01:32:30.6486697Z  - 
2022-11-23T01:32:30.6486885Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6486985Z             {
2022-11-23T01:32:30.6487197Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6487514Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6487702Z                 'obj_weakref': None
2022-11-23T01:32:30.6488020Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6488122Z             }
2022-11-23T01:32:30.6488225Z             
2022-11-23T01:32:30.6488336Z  - 
2022-11-23T01:32:30.6488603Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6488706Z             {
2022-11-23T01:32:30.6488959Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6490175Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:30.6490379Z                 'obj_weakref': None
2022-11-23T01:32:30.6490703Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6490804Z             }
2022-11-23T01:32:30.6490907Z             
2022-11-23T01:32:30.6491018Z  - 
2022-11-23T01:32:30.6491297Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6491397Z             {
2022-11-23T01:32:30.6491603Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6492016Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.6492202Z                 'obj_weakref': None
2022-11-23T01:32:30.6492518Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6492622Z             }
2022-11-23T01:32:30.6492724Z             
2022-11-23T01:32:30.6492834Z  - 
2022-11-23T01:32:30.6493108Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6493201Z             {
2022-11-23T01:32:30.6493412Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6493820Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:30.6494003Z                 'obj_weakref': None
2022-11-23T01:32:30.6494313Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6494413Z             }
2022-11-23T01:32:30.6494514Z             
2022-11-23T01:32:30.6494615Z  - 
2022-11-23T01:32:30.6494890Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6494990Z             {
2022-11-23T01:32:30.6495205Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6495611Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:30.6495793Z                 'obj_weakref': None
2022-11-23T01:32:30.6496102Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6496194Z             }
2022-11-23T01:32:30.6496296Z             
2022-11-23T01:32:30.6496406Z  - 
2022-11-23T01:32:30.6496679Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6496784Z             {
2022-11-23T01:32:30.6496995Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6497400Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:30.6497580Z                 'obj_weakref': None
2022-11-23T01:32:30.6497879Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6497987Z             }
2022-11-23T01:32:30.6498087Z             
2022-11-23T01:32:30.6498200Z  - 
2022-11-23T01:32:30.6498470Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.6498570Z             {
2022-11-23T01:32:30.6498782Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6499366Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:30.6499549Z                 'obj_weakref': None
2022-11-23T01:32:30.6499858Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6499959Z             }
2022-11-23T01:32:30.6500115Z             
2022-11-23T01:32:30.6500503Z [2022-11-23 01:28:34,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300
2022-11-23T01:32:30.6500513Z 
2022-11-23T01:32:30.6500692Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6500793Z import torch
2022-11-23T01:32:30.6500904Z import random
2022-11-23T01:32:30.6501079Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6501269Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6501277Z 
2022-11-23T01:32:30.6501401Z aten = torch.ops.aten
2022-11-23T01:32:30.6501612Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6501755Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6501763Z 
2022-11-23T01:32:30.6501873Z import triton
2022-11-23T01:32:30.6502002Z import triton.language as tl
2022-11-23T01:32:30.6502188Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6502402Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6502410Z 
2022-11-23T01:32:30.6502417Z 
2022-11-23T01:32:30.6502624Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6502926Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6503112Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6503278Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6503430Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6503519Z {
2022-11-23T01:32:30.6503669Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6503768Z     {
2022-11-23T01:32:30.6503889Z         #pragma omp for 
2022-11-23T01:32:30.6504018Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6504118Z         {
2022-11-23T01:32:30.6504330Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6504526Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6504731Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6504865Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6504999Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6505140Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6505242Z         }
2022-11-23T01:32:30.6505387Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6505512Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6505613Z         {
2022-11-23T01:32:30.6505744Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6505874Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6506026Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6506157Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6506284Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6506400Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6506501Z         }
2022-11-23T01:32:30.6506599Z     }
2022-11-23T01:32:30.6506699Z }
2022-11-23T01:32:30.6506827Z ''')
2022-11-23T01:32:30.6506835Z 
2022-11-23T01:32:30.6506842Z 
2022-11-23T01:32:30.6506983Z async_compile.wait(globals())
2022-11-23T01:32:30.6507098Z del async_compile
2022-11-23T01:32:30.6507110Z 
2022-11-23T01:32:30.6507213Z def call(args):
2022-11-23T01:32:30.6507329Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6507441Z     args.clear()
2022-11-23T01:32:30.6507739Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6507983Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6508091Z     del arg0_1
2022-11-23T01:32:30.6508196Z     del arg1_1
2022-11-23T01:32:30.6508300Z     return (buf0, )
2022-11-23T01:32:30.6508317Z 
2022-11-23T01:32:30.6508324Z 
2022-11-23T01:32:30.6508433Z if __name__ == "__main__":
2022-11-23T01:32:30.6508613Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6508857Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6509167Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6509461Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6509675Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6509683Z 
2022-11-23T01:32:30.6509690Z 
2022-11-23T01:32:30.6509835Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6509943Z import torch
2022-11-23T01:32:30.6510046Z import random
2022-11-23T01:32:30.6510222Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6510475Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6510484Z 
2022-11-23T01:32:30.6510607Z aten = torch.ops.aten
2022-11-23T01:32:30.6510811Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6510953Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6510961Z 
2022-11-23T01:32:30.6511070Z import triton
2022-11-23T01:32:30.6511204Z import triton.language as tl
2022-11-23T01:32:30.6511391Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6511600Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6511616Z 
2022-11-23T01:32:30.6511623Z 
2022-11-23T01:32:30.6511830Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6512137Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6512321Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6512484Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6512636Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6512725Z {
2022-11-23T01:32:30.6512875Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6512974Z     {
2022-11-23T01:32:30.6513093Z         #pragma omp for 
2022-11-23T01:32:30.6513220Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.6513319Z         {
2022-11-23T01:32:30.6513529Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6513723Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6513862Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6514002Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6514102Z         }
2022-11-23T01:32:30.6514258Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6514384Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:30.6514484Z         {
2022-11-23T01:32:30.6514605Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6514734Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6514866Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6514989Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6515089Z         }
2022-11-23T01:32:30.6515187Z     }
2022-11-23T01:32:30.6515284Z }
2022-11-23T01:32:30.6515405Z ''')
2022-11-23T01:32:30.6515413Z 
2022-11-23T01:32:30.6515419Z 
2022-11-23T01:32:30.6515563Z async_compile.wait(globals())
2022-11-23T01:32:30.6515683Z del async_compile
2022-11-23T01:32:30.6515691Z 
2022-11-23T01:32:30.6515797Z def call(args):
2022-11-23T01:32:30.6515919Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6516032Z     args.clear()
2022-11-23T01:32:30.6516341Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6516575Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6516683Z     del arg0_1
2022-11-23T01:32:30.6516789Z     del arg1_1
2022-11-23T01:32:30.6516899Z     return (buf0, )
2022-11-23T01:32:30.6516907Z 
2022-11-23T01:32:30.6516914Z 
2022-11-23T01:32:30.6517031Z if __name__ == "__main__":
2022-11-23T01:32:30.6517205Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6517395Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6517723Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6518020Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6518194Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6518232Z 
2022-11-23T01:32:30.6518239Z 
2022-11-23T01:32:30.6518384Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6518493Z import torch
2022-11-23T01:32:30.6518603Z import random
2022-11-23T01:32:30.6518778Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6518961Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6518969Z 
2022-11-23T01:32:30.6519093Z aten = torch.ops.aten
2022-11-23T01:32:30.6519286Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6519427Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6519434Z 
2022-11-23T01:32:30.6519545Z import triton
2022-11-23T01:32:30.6519683Z import triton.language as tl
2022-11-23T01:32:30.6519874Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6520081Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6520089Z 
2022-11-23T01:32:30.6520096Z 
2022-11-23T01:32:30.6520299Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6520602Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6520776Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6520936Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6521087Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6521182Z {
2022-11-23T01:32:30.6521333Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6521432Z     {
2022-11-23T01:32:30.6521554Z         #pragma omp for 
2022-11-23T01:32:30.6521673Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.6521776Z         {
2022-11-23T01:32:30.6521980Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6522179Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6522376Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6522512Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6522643Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6522784Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6522876Z         }
2022-11-23T01:32:30.6523016Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6523143Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:30.6523243Z         {
2022-11-23T01:32:30.6523375Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6523506Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6523649Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6523780Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6523906Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6524032Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6524135Z         }
2022-11-23T01:32:30.6524233Z     }
2022-11-23T01:32:30.6524331Z }
2022-11-23T01:32:30.6524452Z ''')
2022-11-23T01:32:30.6524460Z 
2022-11-23T01:32:30.6524476Z 
2022-11-23T01:32:30.6524609Z async_compile.wait(globals())
2022-11-23T01:32:30.6524719Z del async_compile
2022-11-23T01:32:30.6524726Z 
2022-11-23T01:32:30.6524839Z def call(args):
2022-11-23T01:32:30.6524955Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6525067Z     args.clear()
2022-11-23T01:32:30.6525372Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6525612Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6525711Z     del arg0_1
2022-11-23T01:32:30.6525819Z     del arg1_1
2022-11-23T01:32:30.6525930Z     return (buf0, )
2022-11-23T01:32:30.6525938Z 
2022-11-23T01:32:30.6525945Z 
2022-11-23T01:32:30.6526062Z if __name__ == "__main__":
2022-11-23T01:32:30.6526272Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6526462Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6526753Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6527075Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6527246Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6527253Z 
2022-11-23T01:32:30.6527787Z [2022-11-23 01:28:34,237] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nr/cnrkro2zx3d3eyeyqrt7xywixppei3lsdylpck47bc3aoxgjb5vo.py
2022-11-23T01:32:30.6528181Z [2022-11-23 01:28:34,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300
2022-11-23T01:32:30.6528535Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6529003Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6529321Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6529699Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6530108Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6530576Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6531077Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6531555Z [2022-11-23 01:28:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6532096Z [2022-11-23 01:28:34,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6532242Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6532380Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6532494Z               4 BINARY_ADD
2022-11-23T01:32:30.6532637Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6532780Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6532914Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6533043Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6533160Z              14 BINARY_ADD
2022-11-23T01:32:30.6533295Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6533413Z              18 RETURN_VALUE
2022-11-23T01:32:30.6533510Z  
2022-11-23T01:32:30.6533518Z 
2022-11-23T01:32:30.6533982Z [2022-11-23 01:28:34,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6534296Z [2022-11-23 01:28:34,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6534644Z [2022-11-23 01:28:34,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6535061Z [2022-11-23 01:28:34,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6535416Z [2022-11-23 01:28:34,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6535831Z [2022-11-23 01:28:34,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6536317Z [2022-11-23 01:28:34,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6536670Z [2022-11-23 01:28:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6537073Z [2022-11-23 01:28:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6537464Z [2022-11-23 01:28:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6537827Z [2022-11-23 01:28:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6538367Z [2022-11-23 01:28:34,245] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6538721Z [2022-11-23 01:28:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6539214Z [2022-11-23 01:28:34,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6539598Z [2022-11-23 01:28:34,246] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6539973Z [2022-11-23 01:28:34,250] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6540254Z [2022-11-23 01:28:34,250] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6540457Z  __compiled_fn_309 <eval_with_key>.1903 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6540594Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6540730Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6540976Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6541141Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:30.6541412Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6541559Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6541568Z 
2022-11-23T01:32:30.6542049Z [2022-11-23 01:28:34,250] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6542198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6542339Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6542473Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6542607Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6542739Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6542875Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6542994Z              12 RETURN_VALUE
2022-11-23T01:32:30.6543002Z 
2022-11-23T01:32:30.6543094Z  
2022-11-23T01:32:30.6543575Z [2022-11-23 01:28:34,250] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6543746Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_309)
2022-11-23T01:32:30.6543884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6544013Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6544132Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6544272Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6544408Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6544528Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6544664Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6544825Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6545014Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6545164Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6545300Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6545446Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6545668Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6545804Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6545923Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6546060Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6546229Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6546380Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6546518Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6546637Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6546792Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6546932Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6547078Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6547204Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6547322Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6547480Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6547600Z              54 RETURN_VALUE
2022-11-23T01:32:30.6547609Z 
2022-11-23T01:32:30.6547709Z  
2022-11-23T01:32:30.6547986Z [2022-11-23 01:28:34,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6548102Z  - 
2022-11-23T01:32:30.6548276Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6548376Z             {
2022-11-23T01:32:30.6548590Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6548868Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6549051Z                 'obj_weakref': None
2022-11-23T01:32:30.6549380Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6549481Z             }
2022-11-23T01:32:30.6549572Z             
2022-11-23T01:32:30.6549681Z  - 
2022-11-23T01:32:30.6549870Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6549972Z             {
2022-11-23T01:32:30.6550187Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6550440Z                 'code': None,
2022-11-23T01:32:30.6550749Z                 'obj_weakref': <weakref at 0x7f20232289f0; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6551105Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6551213Z             }
2022-11-23T01:32:30.6551314Z             
2022-11-23T01:32:30.6551426Z  - 
2022-11-23T01:32:30.6551615Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6551717Z             {
2022-11-23T01:32:30.6551931Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6552088Z                 'code': None,
2022-11-23T01:32:30.6552390Z                 'obj_weakref': <weakref at 0x7f20680bc130; to 'Tensor' at 0x7f2115bd3a60>
2022-11-23T01:32:30.6552745Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6552848Z             }
2022-11-23T01:32:30.6552947Z             
2022-11-23T01:32:30.6553062Z  - 
2022-11-23T01:32:30.6553259Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6553350Z             {
2022-11-23T01:32:30.6553558Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6553816Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6553997Z                 'obj_weakref': None
2022-11-23T01:32:30.6554330Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6554431Z             }
2022-11-23T01:32:30.6554533Z             
2022-11-23T01:32:30.6554635Z  - 
2022-11-23T01:32:30.6554819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6554922Z             {
2022-11-23T01:32:30.6555127Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6555451Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6555634Z                 'obj_weakref': None
2022-11-23T01:32:30.6555997Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6556091Z             }
2022-11-23T01:32:30.6556191Z             
2022-11-23T01:32:30.6556332Z  - 
2022-11-23T01:32:30.6556599Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6556700Z             {
2022-11-23T01:32:30.6556952Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6558128Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:30.6558312Z                 'obj_weakref': None
2022-11-23T01:32:30.6558638Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6558735Z             }
2022-11-23T01:32:30.6558834Z             
2022-11-23T01:32:30.6558944Z  - 
2022-11-23T01:32:30.6559222Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6559323Z             {
2022-11-23T01:32:30.6559537Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6559947Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.6560120Z                 'obj_weakref': None
2022-11-23T01:32:30.6560439Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6560541Z             }
2022-11-23T01:32:30.6560645Z             
2022-11-23T01:32:30.6560756Z  - 
2022-11-23T01:32:30.6561032Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6561132Z             {
2022-11-23T01:32:30.6561340Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6561745Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:30.6561928Z                 'obj_weakref': None
2022-11-23T01:32:30.6562239Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6562341Z             }
2022-11-23T01:32:30.6562446Z             
2022-11-23T01:32:30.6562557Z  - 
2022-11-23T01:32:30.6562819Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6562920Z             {
2022-11-23T01:32:30.6563131Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6563540Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:30.6563722Z                 'obj_weakref': None
2022-11-23T01:32:30.6564037Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6564138Z             }
2022-11-23T01:32:30.6564237Z             
2022-11-23T01:32:30.6564338Z  - 
2022-11-23T01:32:30.6564614Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6564715Z             {
2022-11-23T01:32:30.6564926Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6565327Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:30.6565509Z                 'obj_weakref': None
2022-11-23T01:32:30.6565818Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6565954Z             }
2022-11-23T01:32:30.6566058Z             
2022-11-23T01:32:30.6566168Z  - 
2022-11-23T01:32:30.6566443Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:30.6566577Z             {
2022-11-23T01:32:30.6566788Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6567190Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:30.6567361Z                 'obj_weakref': None
2022-11-23T01:32:30.6567669Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6567769Z             }
2022-11-23T01:32:30.6567869Z             
2022-11-23T01:32:30.6568251Z [2022-11-23 01:28:34,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301
2022-11-23T01:32:30.6568789Z [2022-11-23 01:28:34,267] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gz/cgzmx5hz52iw3ryxvdnqnymnixppagvjs4fh4w3yyugv3yobnhnw.py
2022-11-23T01:32:30.6569181Z [2022-11-23 01:28:34,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301
2022-11-23T01:32:30.6569537Z [2022-11-23 01:28:34,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6569998Z [2022-11-23 01:28:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6570314Z [2022-11-23 01:28:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6570690Z [2022-11-23 01:28:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6571098Z [2022-11-23 01:28:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6571570Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6572079Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6572557Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6573100Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:30.6573245Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6573391Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6573525Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6573664Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6573805Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6573921Z              10 BINARY_ADD
2022-11-23T01:32:30.6574058Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6574180Z              14 RETURN_VALUE
2022-11-23T01:32:30.6574282Z  
2022-11-23T01:32:30.6574290Z 
2022-11-23T01:32:30.6574750Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:30.6575053Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6575419Z [2022-11-23 01:28:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6575834Z [2022-11-23 01:28:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6576335Z [2022-11-23 01:28:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6576684Z [2022-11-23 01:28:34,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6577123Z [2022-11-23 01:28:34,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6577482Z [2022-11-23 01:28:34,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6577845Z [2022-11-23 01:28:34,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6578395Z [2022-11-23 01:28:34,274] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:30.6578761Z [2022-11-23 01:28:34,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6579277Z [2022-11-23 01:28:34,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6579661Z [2022-11-23 01:28:34,275] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6580034Z [2022-11-23 01:28:34,278] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6580315Z [2022-11-23 01:28:34,278] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6580521Z  __compiled_fn_310 <eval_with_key>.1909 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6580660Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6580795Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6580948Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T01:32:30.6581205Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6581353Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6581361Z 
2022-11-23T01:32:30.6581847Z [2022-11-23 01:28:34,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6581992Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6582136Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6582273Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6582415Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6582549Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6582680Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6582799Z              12 RETURN_VALUE
2022-11-23T01:32:30.6582807Z 
2022-11-23T01:32:30.6582904Z  
2022-11-23T01:32:30.6583383Z [2022-11-23 01:28:34,278] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6583549Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_310)
2022-11-23T01:32:30.6583692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6583832Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6583943Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6584083Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6584220Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6584343Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6584478Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6584637Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6584834Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6584981Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6585108Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6585256Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6585414Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6585618Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6585739Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6585871Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6586048Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6586190Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6586324Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6586443Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6586599Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6586743Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6586892Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6587028Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6587139Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6587297Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6587416Z              54 RETURN_VALUE
2022-11-23T01:32:30.6587428Z 
2022-11-23T01:32:30.6587525Z  
2022-11-23T01:32:30.6587804Z [2022-11-23 01:28:34,280] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6587917Z  - 
2022-11-23T01:32:30.6588103Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6588196Z             {
2022-11-23T01:32:30.6588410Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6588685Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6588867Z                 'obj_weakref': None
2022-11-23T01:32:30.6589195Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6589297Z             }
2022-11-23T01:32:30.6589397Z             
2022-11-23T01:32:30.6589499Z  - 
2022-11-23T01:32:30.6589688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6589790Z             {
2022-11-23T01:32:30.6590004Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6590177Z                 'code': None,
2022-11-23T01:32:30.6590574Z                 'obj_weakref': <weakref at 0x7f2115c41850; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6590940Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6591039Z             }
2022-11-23T01:32:30.6591141Z             
2022-11-23T01:32:30.6591251Z  - 
2022-11-23T01:32:30.6591440Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6591542Z             {
2022-11-23T01:32:30.6591758Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6591924Z                 'code': None,
2022-11-23T01:32:30.6592218Z                 'obj_weakref': <weakref at 0x7f201e379490; to 'Tensor' at 0x7f21159b5170>
2022-11-23T01:32:30.6592570Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6592671Z             }
2022-11-23T01:32:30.6592771Z             
2022-11-23T01:32:30.6592882Z  - 
2022-11-23T01:32:30.6593085Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6593191Z             {
2022-11-23T01:32:30.6593386Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6593646Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6593826Z                 'obj_weakref': None
2022-11-23T01:32:30.6594158Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6594259Z             }
2022-11-23T01:32:30.6594358Z             
2022-11-23T01:32:30.6594472Z  - 
2022-11-23T01:32:30.6594648Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6594748Z             {
2022-11-23T01:32:30.6594954Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6595272Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6595453Z                 'obj_weakref': None
2022-11-23T01:32:30.6595824Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6595928Z             }
2022-11-23T01:32:30.6596019Z             
2022-11-23T01:32:30.6596130Z  - 
2022-11-23T01:32:30.6596425Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6596525Z             {
2022-11-23T01:32:30.6596775Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6597811Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:30.6597995Z                 'obj_weakref': None
2022-11-23T01:32:30.6598323Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6598425Z             }
2022-11-23T01:32:30.6598518Z             
2022-11-23T01:32:30.6598633Z  - 
2022-11-23T01:32:30.6598910Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6599012Z             {
2022-11-23T01:32:30.6599227Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6599638Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.6599819Z                 'obj_weakref': None
2022-11-23T01:32:30.6600128Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6600228Z             }
2022-11-23T01:32:30.6600330Z             
2022-11-23T01:32:30.6600442Z  - 
2022-11-23T01:32:30.6600718Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6600818Z             {
2022-11-23T01:32:30.6601031Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6601423Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:30.6601609Z                 'obj_weakref': None
2022-11-23T01:32:30.6601920Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6602022Z             }
2022-11-23T01:32:30.6602122Z             
2022-11-23T01:32:30.6602234Z  - 
2022-11-23T01:32:30.6602530Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6602625Z             {
2022-11-23T01:32:30.6602865Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6603298Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:30.6603481Z                 'obj_weakref': None
2022-11-23T01:32:30.6603794Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6603900Z             }
2022-11-23T01:32:30.6604001Z             
2022-11-23T01:32:30.6604112Z  - 
2022-11-23T01:32:30.6604377Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6604478Z             {
2022-11-23T01:32:30.6604691Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6605093Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:30.6605276Z                 'obj_weakref': None
2022-11-23T01:32:30.6605587Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6605687Z             }
2022-11-23T01:32:30.6605779Z             
2022-11-23T01:32:30.6606201Z [2022-11-23 01:28:34,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302
2022-11-23T01:32:30.6606734Z [2022-11-23 01:28:34,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7r/c7rprcz6bsivd4vly3qr5juksrccwa42nacbxlrm46b4ge4mwf67.py
2022-11-23T01:32:30.6607192Z [2022-11-23 01:28:34,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302
2022-11-23T01:32:30.6607557Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6608026Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6608353Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6608729Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6609144Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6609609Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6610126Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6610602Z [2022-11-23 01:28:34,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6611144Z [2022-11-23 01:28:34,299] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:30.6611289Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6611433Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6611550Z               4 BINARY_ADD
2022-11-23T01:32:30.6611695Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6611840Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6611972Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6612135Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:30.6612273Z              14 BINARY_ADD
2022-11-23T01:32:30.6612408Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6612527Z              18 RETURN_VALUE
2022-11-23T01:32:30.6612626Z  
2022-11-23T01:32:30.6612634Z 
2022-11-23T01:32:30.6613100Z [2022-11-23 01:28:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:30.6613418Z [2022-11-23 01:28:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6613770Z [2022-11-23 01:28:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6614191Z [2022-11-23 01:28:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6614554Z [2022-11-23 01:28:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6614972Z [2022-11-23 01:28:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6615421Z [2022-11-23 01:28:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6615774Z [2022-11-23 01:28:34,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.6616180Z [2022-11-23 01:28:34,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6616573Z [2022-11-23 01:28:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6616939Z [2022-11-23 01:28:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6617509Z [2022-11-23 01:28:34,302] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:30.6617873Z [2022-11-23 01:28:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6618220Z [2022-11-23 01:28:34,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6618602Z [2022-11-23 01:28:34,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6619128Z [2022-11-23 01:28:34,306] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6619427Z [2022-11-23 01:28:34,307] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6619635Z  __compiled_fn_311 <eval_with_key>.1915 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6619779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6619916Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6620169Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6620329Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T01:32:30.6620599Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:30.6620747Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:30.6620755Z 
2022-11-23T01:32:30.6621237Z [2022-11-23 01:28:34,307] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6621382Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6621523Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6621662Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6621797Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6621930Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6622073Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6622194Z              12 RETURN_VALUE
2022-11-23T01:32:30.6622202Z 
2022-11-23T01:32:30.6622299Z  
2022-11-23T01:32:30.6622780Z [2022-11-23 01:28:34,307] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6622948Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_311)
2022-11-23T01:32:30.6623079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6623221Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6623342Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6623479Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6623619Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6623741Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6623882Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6624045Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6624240Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6624391Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6624530Z              22 CALL_FUNCTION            0
2022-11-23T01:32:30.6624677Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6624836Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6624973Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6625093Z              30 BINARY_SUBSCR
2022-11-23T01:32:30.6625221Z              32 BUILD_TUPLE              1
2022-11-23T01:32:30.6625365Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6625577Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6625718Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6625839Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6626033Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6626175Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6626316Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6626453Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6626572Z              50 BINARY_SUBSCR
2022-11-23T01:32:30.6626734Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6626853Z              54 RETURN_VALUE
2022-11-23T01:32:30.6626861Z 
2022-11-23T01:32:30.6626960Z  
2022-11-23T01:32:30.6627242Z [2022-11-23 01:28:34,308] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6627348Z  - 
2022-11-23T01:32:30.6627532Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6627633Z             {
2022-11-23T01:32:30.6627853Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6628132Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6628316Z                 'obj_weakref': None
2022-11-23T01:32:30.6628649Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6628752Z             }
2022-11-23T01:32:30.6628844Z             
2022-11-23T01:32:30.6628960Z  - 
2022-11-23T01:32:30.6629151Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6629254Z             {
2022-11-23T01:32:30.6629470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6629636Z                 'code': None,
2022-11-23T01:32:30.6629935Z                 'obj_weakref': <weakref at 0x7f2022f11580; to 'Tensor' at 0x7f2115bed7b0>
2022-11-23T01:32:30.6630383Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6630493Z             }
2022-11-23T01:32:30.6630594Z             
2022-11-23T01:32:30.6630709Z  - 
2022-11-23T01:32:30.6630897Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6630999Z             {
2022-11-23T01:32:30.6631211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6631377Z                 'code': None,
2022-11-23T01:32:30.6631681Z                 'obj_weakref': <weakref at 0x7f2023058f40; to 'Tensor' at 0x7f20680bc900>
2022-11-23T01:32:30.6632045Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6632163Z             }
2022-11-23T01:32:30.6632268Z             
2022-11-23T01:32:30.6632382Z  - 
2022-11-23T01:32:30.6632572Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6632673Z             {
2022-11-23T01:32:30.6632877Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6633131Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6633320Z                 'obj_weakref': None
2022-11-23T01:32:30.6642355Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6642477Z             }
2022-11-23T01:32:30.6642576Z             
2022-11-23T01:32:30.6642704Z  - 
2022-11-23T01:32:30.6642898Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6643000Z             {
2022-11-23T01:32:30.6643208Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6643530Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6643712Z                 'obj_weakref': None
2022-11-23T01:32:30.6644035Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6644129Z             }
2022-11-23T01:32:30.6644229Z             
2022-11-23T01:32:30.6644339Z  - 
2022-11-23T01:32:30.6644605Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6644780Z             {
2022-11-23T01:32:30.6645035Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6646064Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:30.6646279Z                 'obj_weakref': None
2022-11-23T01:32:30.6646596Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6646698Z             }
2022-11-23T01:32:30.6646798Z             
2022-11-23T01:32:30.6646910Z  - 
2022-11-23T01:32:30.6647191Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6647292Z             {
2022-11-23T01:32:30.6647506Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6647906Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:30.6648091Z                 'obj_weakref': None
2022-11-23T01:32:30.6648410Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6648512Z             }
2022-11-23T01:32:30.6648614Z             
2022-11-23T01:32:30.6648727Z  - 
2022-11-23T01:32:30.6648998Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6649090Z             {
2022-11-23T01:32:30.6649305Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6649711Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:30.6649894Z                 'obj_weakref': None
2022-11-23T01:32:30.6650205Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6650311Z             }
2022-11-23T01:32:30.6650410Z             
2022-11-23T01:32:30.6650511Z  - 
2022-11-23T01:32:30.6650785Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6650884Z             {
2022-11-23T01:32:30.6651096Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6651496Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:30.6651677Z                 'obj_weakref': None
2022-11-23T01:32:30.6651985Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6652084Z             }
2022-11-23T01:32:30.6652176Z             
2022-11-23T01:32:30.6652290Z  - 
2022-11-23T01:32:30.6652562Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:30.6652661Z             {
2022-11-23T01:32:30.6652872Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6653273Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:30.6653454Z                 'obj_weakref': None
2022-11-23T01:32:30.6653752Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6653853Z             }
2022-11-23T01:32:30.6653955Z             
2022-11-23T01:32:30.6654340Z [2022-11-23 01:28:34,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303
2022-11-23T01:32:30.6654349Z 
2022-11-23T01:32:30.6654495Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6654605Z import torch
2022-11-23T01:32:30.6654714Z import random
2022-11-23T01:32:30.6654960Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6655143Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6655152Z 
2022-11-23T01:32:30.6655275Z aten = torch.ops.aten
2022-11-23T01:32:30.6655509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6655655Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6655663Z 
2022-11-23T01:32:30.6655773Z import triton
2022-11-23T01:32:30.6655913Z import triton.language as tl
2022-11-23T01:32:30.6656099Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6656299Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6656314Z 
2022-11-23T01:32:30.6656322Z 
2022-11-23T01:32:30.6656519Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6656821Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6657009Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6657174Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6657326Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6657424Z {
2022-11-23T01:32:30.6657580Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6657671Z     {
2022-11-23T01:32:30.6657793Z         #pragma omp for 
2022-11-23T01:32:30.6657922Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6658023Z         {
2022-11-23T01:32:30.6658236Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6658440Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6658574Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6658707Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6658996Z         }
2022-11-23T01:32:30.6659149Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6659288Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6659388Z         {
2022-11-23T01:32:30.6659524Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6659654Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6659775Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6659906Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6660008Z         }
2022-11-23T01:32:30.6660105Z     }
2022-11-23T01:32:30.6660200Z }
2022-11-23T01:32:30.6660335Z ''')
2022-11-23T01:32:30.6660344Z 
2022-11-23T01:32:30.6660351Z 
2022-11-23T01:32:30.6660489Z async_compile.wait(globals())
2022-11-23T01:32:30.6660595Z del async_compile
2022-11-23T01:32:30.6660603Z 
2022-11-23T01:32:30.6660715Z def call(args):
2022-11-23T01:32:30.6660833Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6660946Z     args.clear()
2022-11-23T01:32:30.6661287Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6661531Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6661643Z     del arg0_1
2022-11-23T01:32:30.6661741Z     del arg1_1
2022-11-23T01:32:30.6661854Z     return (buf0, )
2022-11-23T01:32:30.6661862Z 
2022-11-23T01:32:30.6661869Z 
2022-11-23T01:32:30.6661992Z if __name__ == "__main__":
2022-11-23T01:32:30.6662166Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6662355Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6662655Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6662987Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6663163Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6663171Z 
2022-11-23T01:32:30.6663178Z 
2022-11-23T01:32:30.6663322Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6663423Z import torch
2022-11-23T01:32:30.6663535Z import random
2022-11-23T01:32:30.6663711Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6663968Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6663977Z 
2022-11-23T01:32:30.6664103Z aten = torch.ops.aten
2022-11-23T01:32:30.6664304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6664481Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6664489Z 
2022-11-23T01:32:30.6664591Z import triton
2022-11-23T01:32:30.6664729Z import triton.language as tl
2022-11-23T01:32:30.6664912Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6665121Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6665129Z 
2022-11-23T01:32:30.6665136Z 
2022-11-23T01:32:30.6665344Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6665643Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6665825Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6665989Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6666133Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6666232Z {
2022-11-23T01:32:30.6666381Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6666484Z     {
2022-11-23T01:32:30.6666604Z         #pragma omp for 
2022-11-23T01:32:30.6666733Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6666832Z         {
2022-11-23T01:32:30.6667025Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6667226Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6667422Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6667553Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6667683Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6667823Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6667923Z         }
2022-11-23T01:32:30.6668068Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6668199Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6668300Z         {
2022-11-23T01:32:30.6668431Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6668560Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6668715Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6668846Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6668966Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6669096Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6669202Z         }
2022-11-23T01:32:30.6669303Z     }
2022-11-23T01:32:30.6669400Z }
2022-11-23T01:32:30.6669530Z ''')
2022-11-23T01:32:30.6669538Z 
2022-11-23T01:32:30.6669545Z 
2022-11-23T01:32:30.6669681Z async_compile.wait(globals())
2022-11-23T01:32:30.6669798Z del async_compile
2022-11-23T01:32:30.6669806Z 
2022-11-23T01:32:30.6669908Z def call(args):
2022-11-23T01:32:30.6670025Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6670135Z     args.clear()
2022-11-23T01:32:30.6670619Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6670863Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6670973Z     del arg0_1
2022-11-23T01:32:30.6671077Z     del arg1_1
2022-11-23T01:32:30.6671179Z     return (buf0, )
2022-11-23T01:32:30.6671188Z 
2022-11-23T01:32:30.6671194Z 
2022-11-23T01:32:30.6671313Z if __name__ == "__main__":
2022-11-23T01:32:30.6671487Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6671675Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6671973Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6672305Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6672478Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6672486Z 
2022-11-23T01:32:30.6672535Z 
2022-11-23T01:32:30.6672682Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6672783Z import torch
2022-11-23T01:32:30.6672893Z import random
2022-11-23T01:32:30.6673067Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6673280Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6673288Z 
2022-11-23T01:32:30.6673411Z aten = torch.ops.aten
2022-11-23T01:32:30.6673619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6673761Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6673769Z 
2022-11-23T01:32:30.6673881Z import triton
2022-11-23T01:32:30.6674009Z import triton.language as tl
2022-11-23T01:32:30.6674197Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6674406Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6674414Z 
2022-11-23T01:32:30.6674421Z 
2022-11-23T01:32:30.6674627Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6674932Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6675111Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6675276Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6675422Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6675501Z {
2022-11-23T01:32:30.6675643Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6675731Z     {
2022-11-23T01:32:30.6675816Z         #pragma omp for 
2022-11-23T01:32:30.6675904Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6675974Z         {
2022-11-23T01:32:30.6676120Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6676252Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6676346Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6676446Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6676515Z         }
2022-11-23T01:32:30.6676619Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6676711Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6676783Z         {
2022-11-23T01:32:30.6676870Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6676960Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:30.6677048Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6677135Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6677205Z         }
2022-11-23T01:32:30.6677272Z     }
2022-11-23T01:32:30.6677331Z }
2022-11-23T01:32:30.6677419Z ''')
2022-11-23T01:32:30.6677425Z 
2022-11-23T01:32:30.6677429Z 
2022-11-23T01:32:30.6677526Z async_compile.wait(globals())
2022-11-23T01:32:30.6677606Z del async_compile
2022-11-23T01:32:30.6677611Z 
2022-11-23T01:32:30.6677686Z def call(args):
2022-11-23T01:32:30.6677767Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6677845Z     args.clear()
2022-11-23T01:32:30.6678059Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6678222Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6678296Z     del arg0_1
2022-11-23T01:32:30.6678378Z     del arg1_1
2022-11-23T01:32:30.6678456Z     return (buf0, )
2022-11-23T01:32:30.6678461Z 
2022-11-23T01:32:30.6678465Z 
2022-11-23T01:32:30.6678547Z if __name__ == "__main__":
2022-11-23T01:32:30.6678668Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6678797Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6678998Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6679201Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6679323Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6679329Z 
2022-11-23T01:32:30.6679738Z [2022-11-23 01:28:34,324] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kj/ckjb7x3sod52hllp2zop43bbuu4ag4hjlmei7n4t2sejkp2bqmbq.py
2022-11-23T01:32:30.6680010Z [2022-11-23 01:28:34,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303
2022-11-23T01:32:30.6680039Z 
2022-11-23T01:32:30.6680142Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6680220Z import torch
2022-11-23T01:32:30.6680297Z import random
2022-11-23T01:32:30.6680421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6680541Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6680546Z 
2022-11-23T01:32:30.6680636Z aten = torch.ops.aten
2022-11-23T01:32:30.6680780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6680879Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6680884Z 
2022-11-23T01:32:30.6680961Z import triton
2022-11-23T01:32:30.6681056Z import triton.language as tl
2022-11-23T01:32:30.6681186Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6681334Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6681340Z 
2022-11-23T01:32:30.6681344Z 
2022-11-23T01:32:30.6681477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6681692Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6681819Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6681934Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6682038Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6682105Z {
2022-11-23T01:32:30.6682210Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6682270Z     {
2022-11-23T01:32:30.6682354Z         #pragma omp for 
2022-11-23T01:32:30.6682444Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6682513Z         {
2022-11-23T01:32:30.6682658Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6682801Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:30.6682940Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6683034Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6683121Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6683222Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6683292Z         }
2022-11-23T01:32:30.6683403Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6683494Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6683563Z         {
2022-11-23T01:32:30.6683653Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6683737Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:30.6683842Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6683934Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6684026Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6684113Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6684181Z         }
2022-11-23T01:32:30.6684253Z     }
2022-11-23T01:32:30.6684313Z }
2022-11-23T01:32:30.6684400Z ''')
2022-11-23T01:32:30.6684405Z 
2022-11-23T01:32:30.6684410Z 
2022-11-23T01:32:30.6684506Z async_compile.wait(globals())
2022-11-23T01:32:30.6684589Z del async_compile
2022-11-23T01:32:30.6684594Z 
2022-11-23T01:32:30.6684671Z def call(args):
2022-11-23T01:32:30.6684752Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6684829Z     args.clear()
2022-11-23T01:32:30.6685034Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6685210Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6685286Z     del arg0_1
2022-11-23T01:32:30.6685359Z     del arg1_1
2022-11-23T01:32:30.6685437Z     return (buf0, )
2022-11-23T01:32:30.6685442Z 
2022-11-23T01:32:30.6685447Z 
2022-11-23T01:32:30.6685530Z if __name__ == "__main__":
2022-11-23T01:32:30.6685652Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6685824Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6686020Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6686231Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6686383Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6686389Z 
2022-11-23T01:32:30.6686462Z ok (16.347s)
2022-11-23T01:32:30.6686772Z   test_views2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6687092Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6687317Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6687582Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6687855Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6688182Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6688532Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6688856Z [2022-11-23 01:28:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6689232Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:30.6689337Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6689439Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6689541Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6689639Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6689729Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6689810Z              10 BINARY_ADD
2022-11-23T01:32:30.6689905Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6689989Z              14 RETURN_VALUE
2022-11-23T01:32:30.6690055Z  
2022-11-23T01:32:30.6690060Z 
2022-11-23T01:32:30.6690375Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:30.6690590Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6690836Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6691119Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6691411Z [2022-11-23 01:28:34,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6691656Z [2022-11-23 01:28:34,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6691942Z [2022-11-23 01:28:34,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6692188Z [2022-11-23 01:28:34,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6692441Z [2022-11-23 01:28:34,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6692848Z [2022-11-23 01:28:34,332] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:30.6693105Z [2022-11-23 01:28:34,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6693367Z [2022-11-23 01:28:34,332] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6693627Z [2022-11-23 01:28:34,333] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6693876Z [2022-11-23 01:28:34,336] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6694072Z [2022-11-23 01:28:34,336] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6694217Z  __compiled_fn_312 <eval_with_key>.1921 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6694312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6694461Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T01:32:30.6694645Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6694746Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6694752Z 
2022-11-23T01:32:30.6695085Z [2022-11-23 01:28:34,336] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6695194Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6695285Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6695380Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6695480Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6695572Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6695668Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6695749Z              12 RETURN_VALUE
2022-11-23T01:32:30.6695755Z 
2022-11-23T01:32:30.6695820Z  
2022-11-23T01:32:30.6696146Z [2022-11-23 01:28:34,337] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6696264Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_312)
2022-11-23T01:32:30.6696361Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6696462Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6696547Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6696645Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6696757Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6696888Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6696992Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6697093Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6697198Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6697315Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6697414Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6697497Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6697590Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6697683Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6697794Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6697889Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6697971Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6698079Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6698181Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6698288Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6698376Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6698460Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6698568Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6698653Z              48 RETURN_VALUE
2022-11-23T01:32:30.6698658Z 
2022-11-23T01:32:30.6698754Z  
2022-11-23T01:32:30.6699129Z [2022-11-23 01:28:34,338] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6699210Z  - 
2022-11-23T01:32:30.6699330Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6699456Z             {
2022-11-23T01:32:30.6699608Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6699804Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6699930Z                 'obj_weakref': None
2022-11-23T01:32:30.6700159Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6700231Z             }
2022-11-23T01:32:30.6700294Z             
2022-11-23T01:32:30.6700372Z  - 
2022-11-23T01:32:30.6700505Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6700575Z             {
2022-11-23T01:32:30.6700726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6700841Z                 'code': None,
2022-11-23T01:32:30.6701065Z                 'obj_weakref': <weakref at 0x7f20726ff4c0; to 'Tensor' at 0x7f201e37b150>
2022-11-23T01:32:30.6701313Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6701387Z             }
2022-11-23T01:32:30.6701455Z             
2022-11-23T01:32:30.6701533Z  - 
2022-11-23T01:32:30.6701670Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6701739Z             {
2022-11-23T01:32:30.6701880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6702050Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6702177Z                 'obj_weakref': None
2022-11-23T01:32:30.6702410Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6702481Z             }
2022-11-23T01:32:30.6702552Z             
2022-11-23T01:32:30.6702629Z  - 
2022-11-23T01:32:30.6702760Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6702824Z             {
2022-11-23T01:32:30.6702967Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6703195Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6703324Z                 'obj_weakref': None
2022-11-23T01:32:30.6703550Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6703621Z             }
2022-11-23T01:32:30.6703692Z             
2022-11-23T01:32:30.6703761Z  - 
2022-11-23T01:32:30.6703945Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6704015Z             {
2022-11-23T01:32:30.6704189Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6704725Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:30.6704851Z                 'obj_weakref': None
2022-11-23T01:32:30.6705076Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6705147Z             }
2022-11-23T01:32:30.6705210Z             
2022-11-23T01:32:30.6705288Z  - 
2022-11-23T01:32:30.6705480Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6705552Z             {
2022-11-23T01:32:30.6705701Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6705986Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:30.6706112Z                 'obj_weakref': None
2022-11-23T01:32:30.6706390Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6706456Z             }
2022-11-23T01:32:30.6706526Z             
2022-11-23T01:32:30.6706608Z  - 
2022-11-23T01:32:30.6706799Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6706896Z             {
2022-11-23T01:32:30.6707044Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6707326Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:30.6707443Z                 'obj_weakref': None
2022-11-23T01:32:30.6707660Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6707732Z             }
2022-11-23T01:32:30.6707801Z             
2022-11-23T01:32:30.6708068Z [2022-11-23 01:28:34,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304
2022-11-23T01:32:30.6708444Z [2022-11-23 01:28:35,885] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ix/cixanimmcmaxnqkxdnerzunbdwezkmhfcq2g7d2ptb7srugcd54b.py
2022-11-23T01:32:30.6708712Z [2022-11-23 01:28:35,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304
2022-11-23T01:32:30.6708955Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6709262Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6709486Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6709745Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6710031Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6710464Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6710852Z [2022-11-23 01:28:35,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6711186Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6711560Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:30.6711662Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6711761Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:30.6711843Z               4 BINARY_MULTIPLY
2022-11-23T01:32:30.6711954Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6712062Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6712181Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6712289Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6712387Z              14 BINARY_ADD
2022-11-23T01:32:30.6712484Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6712561Z              18 RETURN_VALUE
2022-11-23T01:32:30.6712629Z  
2022-11-23T01:32:30.6712634Z 
2022-11-23T01:32:30.6712951Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:30.6713173Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6713419Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.6713748Z [2022-11-23 01:28:35,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6714000Z [2022-11-23 01:28:35,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6714312Z [2022-11-23 01:28:35,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6714619Z [2022-11-23 01:28:35,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6714856Z [2022-11-23 01:28:35,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6715141Z [2022-11-23 01:28:35,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6715385Z [2022-11-23 01:28:35,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6715637Z [2022-11-23 01:28:35,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6716013Z [2022-11-23 01:28:35,893] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:30.6716267Z [2022-11-23 01:28:35,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6716507Z [2022-11-23 01:28:35,893] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6716770Z [2022-11-23 01:28:35,894] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6717024Z [2022-11-23 01:28:35,897] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6717220Z [2022-11-23 01:28:35,897] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6717357Z  __compiled_fn_313 <eval_with_key>.1927 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6717453Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6717632Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:30.6717785Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T01:32:30.6717961Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6718062Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6718068Z 
2022-11-23T01:32:30.6718397Z [2022-11-23 01:28:35,897] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6718499Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6718590Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6718683Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6718784Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6718878Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6718978Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6719059Z              12 RETURN_VALUE
2022-11-23T01:32:30.6719064Z 
2022-11-23T01:32:30.6719133Z  
2022-11-23T01:32:30.6719460Z [2022-11-23 01:28:35,897] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6719580Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_313)
2022-11-23T01:32:30.6719677Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6719773Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6719856Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6719952Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6720067Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6720198Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6720302Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6720431Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6720538Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6720650Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6720771Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6720858Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6720951Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6721043Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6721149Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6721244Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6721326Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6721439Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6721543Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6721648Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6721739Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6721819Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6721929Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6722014Z              48 RETURN_VALUE
2022-11-23T01:32:30.6722020Z 
2022-11-23T01:32:30.6722086Z  
2022-11-23T01:32:30.6722275Z [2022-11-23 01:28:35,899] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6722351Z  - 
2022-11-23T01:32:30.6722468Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6722539Z             {
2022-11-23T01:32:30.6722688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6722880Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6723005Z                 'obj_weakref': None
2022-11-23T01:32:30.6723230Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6723301Z             }
2022-11-23T01:32:30.6723363Z             
2022-11-23T01:32:30.6723439Z  - 
2022-11-23T01:32:30.6723569Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6723638Z             {
2022-11-23T01:32:30.6723785Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6723901Z                 'code': None,
2022-11-23T01:32:30.6724115Z                 'obj_weakref': <weakref at 0x7f20606b98a0; to 'Tensor' at 0x7f20727e3010>
2022-11-23T01:32:30.6724360Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6724430Z             }
2022-11-23T01:32:30.6724500Z             
2022-11-23T01:32:30.6724580Z  - 
2022-11-23T01:32:30.6724716Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6724785Z             {
2022-11-23T01:32:30.6724925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6725092Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6725217Z                 'obj_weakref': None
2022-11-23T01:32:30.6725449Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6725520Z             }
2022-11-23T01:32:30.6725589Z             
2022-11-23T01:32:30.6725669Z  - 
2022-11-23T01:32:30.6725796Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6725858Z             {
2022-11-23T01:32:30.6725999Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6726216Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6726340Z                 'obj_weakref': None
2022-11-23T01:32:30.6726568Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6726637Z             }
2022-11-23T01:32:30.6726707Z             
2022-11-23T01:32:30.6726775Z  - 
2022-11-23T01:32:30.6726960Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6727031Z             {
2022-11-23T01:32:30.6727239Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6727773Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:30.6727928Z                 'obj_weakref': None
2022-11-23T01:32:30.6728150Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6728223Z             }
2022-11-23T01:32:30.6728285Z             
2022-11-23T01:32:30.6728362Z  - 
2022-11-23T01:32:30.6728554Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6728624Z             {
2022-11-23T01:32:30.6728774Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6729064Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:30.6729189Z                 'obj_weakref': None
2022-11-23T01:32:30.6729415Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6729477Z             }
2022-11-23T01:32:30.6729546Z             
2022-11-23T01:32:30.6729620Z  - 
2022-11-23T01:32:30.6729810Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6729879Z             {
2022-11-23T01:32:30.6730027Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6730311Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:30.6730428Z                 'obj_weakref': None
2022-11-23T01:32:30.6730643Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6730714Z             }
2022-11-23T01:32:30.6730784Z             
2022-11-23T01:32:30.6731051Z [2022-11-23 01:28:35,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305
2022-11-23T01:32:30.6731428Z [2022-11-23 01:28:37,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tt/cttl7yrywitbgwzbpdftjeqv2pbj5txtk4egy3wiq2xkdgogmkls.py
2022-11-23T01:32:30.6731703Z [2022-11-23 01:28:37,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305
2022-11-23T01:32:30.6731950Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6732263Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6732490Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6732753Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6733034Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6733354Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6733697Z [2022-11-23 01:28:37,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6734023Z [2022-11-23 01:28:37,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6734432Z [2022-11-23 01:28:37,461] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:30.6734535Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6734639Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6734762Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6734858Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6734956Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6735036Z              10 BINARY_ADD
2022-11-23T01:32:30.6735135Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6735217Z              14 RETURN_VALUE
2022-11-23T01:32:30.6735284Z  
2022-11-23T01:32:30.6735289Z 
2022-11-23T01:32:30.6735600Z [2022-11-23 01:28:37,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:30.6735817Z [2022-11-23 01:28:37,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6736066Z [2022-11-23 01:28:37,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6736352Z [2022-11-23 01:28:37,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6736664Z [2022-11-23 01:28:37,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6736909Z [2022-11-23 01:28:37,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6737195Z [2022-11-23 01:28:37,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6737440Z [2022-11-23 01:28:37,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6737690Z [2022-11-23 01:28:37,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6738070Z [2022-11-23 01:28:37,465] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:30.6738313Z [2022-11-23 01:28:37,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6738554Z [2022-11-23 01:28:37,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6739063Z [2022-11-23 01:28:37,467] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6739323Z [2022-11-23 01:28:37,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6739521Z [2022-11-23 01:28:37,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6739665Z  __compiled_fn_314 <eval_with_key>.1933 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6739761Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6739916Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T01:32:30.6740140Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6740244Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6740254Z 
2022-11-23T01:32:30.6740590Z [2022-11-23 01:28:37,472] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6740692Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6740790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6740883Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6740984Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6741074Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6741160Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6741243Z              12 RETURN_VALUE
2022-11-23T01:32:30.6741248Z 
2022-11-23T01:32:30.6741315Z  
2022-11-23T01:32:30.6741732Z [2022-11-23 01:28:37,472] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6741860Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_314)
2022-11-23T01:32:30.6742003Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6742122Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6742204Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6742290Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6742402Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6742542Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6742646Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6742744Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6742849Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6742961Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6743048Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6743130Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6743223Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6743326Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6743432Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6743527Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6743610Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6743711Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6743808Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6743911Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6744006Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6744088Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6744200Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6744281Z              48 RETURN_VALUE
2022-11-23T01:32:30.6744287Z 
2022-11-23T01:32:30.6744355Z  
2022-11-23T01:32:30.6744540Z [2022-11-23 01:28:37,474] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6744621Z  - 
2022-11-23T01:32:30.6744748Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6744819Z             {
2022-11-23T01:32:30.6744966Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6745159Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6745284Z                 'obj_weakref': None
2022-11-23T01:32:30.6745506Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6745578Z             }
2022-11-23T01:32:30.6745647Z             
2022-11-23T01:32:30.6745723Z  - 
2022-11-23T01:32:30.6745855Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6745925Z             {
2022-11-23T01:32:30.6746074Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6746185Z                 'code': None,
2022-11-23T01:32:30.6746400Z                 'obj_weakref': <weakref at 0x7f20726ffe70; to 'Tensor' at 0x7f20727e3010>
2022-11-23T01:32:30.6746657Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6746726Z             }
2022-11-23T01:32:30.6746794Z             
2022-11-23T01:32:30.6746867Z  - 
2022-11-23T01:32:30.6747002Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6747064Z             {
2022-11-23T01:32:30.6747203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6747380Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6747504Z                 'obj_weakref': None
2022-11-23T01:32:30.6747739Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6747807Z             }
2022-11-23T01:32:30.6747875Z             
2022-11-23T01:32:30.6747976Z  - 
2022-11-23T01:32:30.6748105Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6748174Z             {
2022-11-23T01:32:30.6748316Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6748566Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6748693Z                 'obj_weakref': None
2022-11-23T01:32:30.6748921Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6748982Z             }
2022-11-23T01:32:30.6749052Z             
2022-11-23T01:32:30.6749128Z  - 
2022-11-23T01:32:30.6749309Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6749379Z             {
2022-11-23T01:32:30.6749556Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6750092Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:30.6750222Z                 'obj_weakref': None
2022-11-23T01:32:30.6750524Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6750595Z             }
2022-11-23T01:32:30.6750667Z             
2022-11-23T01:32:30.6750743Z  - 
2022-11-23T01:32:30.6750932Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6751002Z             {
2022-11-23T01:32:30.6751149Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6751426Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:30.6751551Z                 'obj_weakref': None
2022-11-23T01:32:30.6751772Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6751841Z             }
2022-11-23T01:32:30.6751910Z             
2022-11-23T01:32:30.6751988Z  - 
2022-11-23T01:32:30.6752176Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6752237Z             {
2022-11-23T01:32:30.6752386Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6752671Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:30.6752796Z                 'obj_weakref': None
2022-11-23T01:32:30.6753010Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6753079Z             }
2022-11-23T01:32:30.6753148Z             
2022-11-23T01:32:30.6753411Z [2022-11-23 01:28:37,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306
2022-11-23T01:32:30.6753778Z [2022-11-23 01:28:39,033] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/43/c43fy6nf2ptwupuyueuab7kkn7izzqf3hels7aichqujabemrwhk.py
2022-11-23T01:32:30.6754047Z [2022-11-23 01:28:39,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306
2022-11-23T01:32:30.6754292Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6754610Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6754833Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6755090Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6755420Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6755745Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6756118Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6756446Z [2022-11-23 01:28:39,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6756810Z [2022-11-23 01:28:39,037] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:30.6756912Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6757011Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:30.6757099Z               4 BINARY_MULTIPLY
2022-11-23T01:32:30.6757202Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6757301Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6757397Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6757486Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6757565Z              14 BINARY_ADD
2022-11-23T01:32:30.6757663Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6757746Z              18 RETURN_VALUE
2022-11-23T01:32:30.6757813Z  
2022-11-23T01:32:30.6757819Z 
2022-11-23T01:32:30.6758136Z [2022-11-23 01:28:39,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:30.6758352Z [2022-11-23 01:28:39,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6758597Z [2022-11-23 01:28:39,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.6758888Z [2022-11-23 01:28:39,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6759136Z [2022-11-23 01:28:39,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6759422Z [2022-11-23 01:28:39,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6759726Z [2022-11-23 01:28:39,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6759968Z [2022-11-23 01:28:39,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6760252Z [2022-11-23 01:28:39,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6760497Z [2022-11-23 01:28:39,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6760744Z [2022-11-23 01:28:39,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6761121Z [2022-11-23 01:28:39,040] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:30.6761374Z [2022-11-23 01:28:39,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6761629Z [2022-11-23 01:28:39,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6761916Z [2022-11-23 01:28:39,041] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6762170Z [2022-11-23 01:28:39,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6762396Z [2022-11-23 01:28:39,045] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6762538Z  __compiled_fn_315 <eval_with_key>.1939 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6762632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6762812Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:30.6762988Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T01:32:30.6763157Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6763258Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6763263Z 
2022-11-23T01:32:30.6763592Z [2022-11-23 01:28:39,045] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6763692Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6763788Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6763882Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6763983Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6764077Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6764165Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6764246Z              12 RETURN_VALUE
2022-11-23T01:32:30.6764254Z 
2022-11-23T01:32:30.6764321Z  
2022-11-23T01:32:30.6764654Z [2022-11-23 01:28:39,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6764771Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_315)
2022-11-23T01:32:30.6764867Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6764963Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6765044Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6765131Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6765242Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6765378Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6765485Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6765578Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6765681Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6765795Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6765883Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6765964Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6766059Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6766159Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6766264Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6766362Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6766446Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6766549Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6766648Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6766753Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6766851Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6766933Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6767045Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6767125Z              48 RETURN_VALUE
2022-11-23T01:32:30.6767131Z 
2022-11-23T01:32:30.6767197Z  
2022-11-23T01:32:30.6767379Z [2022-11-23 01:28:39,046] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6767456Z  - 
2022-11-23T01:32:30.6767580Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6767649Z             {
2022-11-23T01:32:30.6767797Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6767989Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6768115Z                 'obj_weakref': None
2022-11-23T01:32:30.6768331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6768429Z             }
2022-11-23T01:32:30.6768499Z             
2022-11-23T01:32:30.6768574Z  - 
2022-11-23T01:32:30.6768705Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6768800Z             {
2022-11-23T01:32:30.6768949Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6769054Z                 'code': None,
2022-11-23T01:32:30.6769264Z                 'obj_weakref': <weakref at 0x7f2068028450; to 'Tensor' at 0x7f20727e3010>
2022-11-23T01:32:30.6769516Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6769585Z             }
2022-11-23T01:32:30.6769655Z             
2022-11-23T01:32:30.6769731Z  - 
2022-11-23T01:32:30.6769865Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6769927Z             {
2022-11-23T01:32:30.6770067Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6770242Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6770365Z                 'obj_weakref': None
2022-11-23T01:32:30.6770596Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6770668Z             }
2022-11-23T01:32:30.6770735Z             
2022-11-23T01:32:30.6770803Z  - 
2022-11-23T01:32:30.6770929Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6770997Z             {
2022-11-23T01:32:30.6771139Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6771356Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6771477Z                 'obj_weakref': None
2022-11-23T01:32:30.6771700Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6771761Z             }
2022-11-23T01:32:30.6771829Z             
2022-11-23T01:32:30.6771905Z  - 
2022-11-23T01:32:30.6772088Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6772157Z             {
2022-11-23T01:32:30.6772329Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6772850Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:30.6772983Z                 'obj_weakref': None
2022-11-23T01:32:30.6773199Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6773269Z             }
2022-11-23T01:32:30.6773338Z             
2022-11-23T01:32:30.6773413Z  - 
2022-11-23T01:32:30.6773602Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6773671Z             {
2022-11-23T01:32:30.6773820Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6774094Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:30.6774223Z                 'obj_weakref': None
2022-11-23T01:32:30.6774441Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6774510Z             }
2022-11-23T01:32:30.6774577Z             
2022-11-23T01:32:30.6774652Z  - 
2022-11-23T01:32:30.6774839Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6774901Z             {
2022-11-23T01:32:30.6775044Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6775320Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:30.6775443Z                 'obj_weakref': None
2022-11-23T01:32:30.6775689Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6775763Z             }
2022-11-23T01:32:30.6775836Z             
2022-11-23T01:32:30.6776093Z [2022-11-23 01:28:39,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307
2022-11-23T01:32:30.6776484Z [2022-11-23 01:28:40,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cva3kumqzc2vwq2i74jqkcjklwj3x756oedyzyhm22244sbggemy.py
2022-11-23T01:32:30.6776756Z [2022-11-23 01:28:40,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307
2022-11-23T01:32:30.6777002Z [2022-11-23 01:28:40,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6777321Z [2022-11-23 01:28:40,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6777550Z [2022-11-23 01:28:40,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6777809Z [2022-11-23 01:28:40,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6778096Z [2022-11-23 01:28:40,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6778422Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6778771Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6779313Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6779686Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:30.6779788Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6779895Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6779999Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6780093Z               6 CALL_METHOD              1
2022-11-23T01:32:30.6780190Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6780267Z              10 BINARY_ADD
2022-11-23T01:32:30.6780354Z              12 BUILD_TUPLE              1
2022-11-23T01:32:30.6780436Z              14 RETURN_VALUE
2022-11-23T01:32:30.6780507Z  
2022-11-23T01:32:30.6780513Z 
2022-11-23T01:32:30.6780832Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:30.6781050Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6781299Z [2022-11-23 01:28:40,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6781586Z [2022-11-23 01:28:40,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6781895Z [2022-11-23 01:28:40,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6782152Z [2022-11-23 01:28:40,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6782464Z [2022-11-23 01:28:40,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6782709Z [2022-11-23 01:28:40,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6783022Z [2022-11-23 01:28:40,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6783405Z [2022-11-23 01:28:40,603] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:30.6783685Z [2022-11-23 01:28:40,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6783926Z [2022-11-23 01:28:40,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6784185Z [2022-11-23 01:28:40,604] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6784442Z [2022-11-23 01:28:40,606] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6784638Z [2022-11-23 01:28:40,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6784780Z  __compiled_fn_316 <eval_with_key>.1945 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6784871Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6785028Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T01:32:30.6785205Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6785310Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6785316Z 
2022-11-23T01:32:30.6785651Z [2022-11-23 01:28:40,607] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6785751Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6785851Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6785944Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6786037Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6786132Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6786225Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6786307Z              12 RETURN_VALUE
2022-11-23T01:32:30.6786315Z 
2022-11-23T01:32:30.6786380Z  
2022-11-23T01:32:30.6786707Z [2022-11-23 01:28:40,607] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6786830Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_316)
2022-11-23T01:32:30.6786920Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6787016Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6787105Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6787200Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6787312Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6787449Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6787554Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6787648Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6787747Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6787856Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6787954Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6788038Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6788131Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6788233Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6788338Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6788427Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6788507Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6788616Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6788712Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6788814Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6788909Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6788990Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6789127Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6789210Z              48 RETURN_VALUE
2022-11-23T01:32:30.6789215Z 
2022-11-23T01:32:30.6789281Z  
2022-11-23T01:32:30.6789493Z [2022-11-23 01:28:40,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6789569Z  - 
2022-11-23T01:32:30.6789694Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6789762Z             {
2022-11-23T01:32:30.6789903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6790096Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6790222Z                 'obj_weakref': None
2022-11-23T01:32:30.6790543Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6790626Z             }
2022-11-23T01:32:30.6790708Z             
2022-11-23T01:32:30.6790800Z  - 
2022-11-23T01:32:30.6790936Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6791009Z             {
2022-11-23T01:32:30.6791161Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6791274Z                 'code': None,
2022-11-23T01:32:30.6791486Z                 'obj_weakref': <weakref at 0x7f2068297330; to 'Tensor' at 0x7f20727e3010>
2022-11-23T01:32:30.6791766Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6791841Z             }
2022-11-23T01:32:30.6791918Z             
2022-11-23T01:32:30.6791995Z  - 
2022-11-23T01:32:30.6792131Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6792200Z             {
2022-11-23T01:32:30.6792345Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6792524Z                 'code': ['___check_obj_id(model, 139776001806480)'],
2022-11-23T01:32:30.6792649Z                 'obj_weakref': None
2022-11-23T01:32:30.6792875Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6792947Z             }
2022-11-23T01:32:30.6793014Z             
2022-11-23T01:32:30.6793093Z  - 
2022-11-23T01:32:30.6793221Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6793289Z             {
2022-11-23T01:32:30.6793437Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6793652Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6793777Z                 'obj_weakref': None
2022-11-23T01:32:30.6794005Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6794074Z             }
2022-11-23T01:32:30.6794142Z             
2022-11-23T01:32:30.6794218Z  - 
2022-11-23T01:32:30.6794401Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6794463Z             {
2022-11-23T01:32:30.6794638Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6795263Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:30.6795392Z                 'obj_weakref': None
2022-11-23T01:32:30.6795618Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6795686Z             }
2022-11-23T01:32:30.6795753Z             
2022-11-23T01:32:30.6795829Z  - 
2022-11-23T01:32:30.6796010Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6796080Z             {
2022-11-23T01:32:30.6796227Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6796544Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.6796668Z                 'obj_weakref': None
2022-11-23T01:32:30.6796888Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6796979Z             }
2022-11-23T01:32:30.6797048Z             
2022-11-23T01:32:30.6797116Z  - 
2022-11-23T01:32:30.6797303Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6797371Z             {
2022-11-23T01:32:30.6797519Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6797795Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:30.6797917Z                 'obj_weakref': None
2022-11-23T01:32:30.6798135Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6798196Z             }
2022-11-23T01:32:30.6798267Z             
2022-11-23T01:32:30.6798343Z  - 
2022-11-23T01:32:30.6798527Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6798595Z             {
2022-11-23T01:32:30.6798742Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6799013Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:30.6799128Z                 'obj_weakref': None
2022-11-23T01:32:30.6799340Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6799410Z             }
2022-11-23T01:32:30.6799478Z             
2022-11-23T01:32:30.6799740Z [2022-11-23 01:28:40,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308
2022-11-23T01:32:30.6799746Z 
2022-11-23T01:32:30.6799846Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6799921Z import torch
2022-11-23T01:32:30.6799999Z import random
2022-11-23T01:32:30.6800115Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6800244Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6800253Z 
2022-11-23T01:32:30.6800338Z aten = torch.ops.aten
2022-11-23T01:32:30.6800478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6800576Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6800582Z 
2022-11-23T01:32:30.6800657Z import triton
2022-11-23T01:32:30.6800751Z import triton.language as tl
2022-11-23T01:32:30.6800872Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6801017Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6801023Z 
2022-11-23T01:32:30.6801027Z 
2022-11-23T01:32:30.6801167Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6801382Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6801514Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6801625Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6801693Z {
2022-11-23T01:32:30.6801799Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6801861Z     {
2022-11-23T01:32:30.6801944Z         #pragma omp for 
2022-11-23T01:32:30.6802032Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6802101Z         {
2022-11-23T01:32:30.6802255Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6802398Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6802489Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6802580Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6802649Z         }
2022-11-23T01:32:30.6802749Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6802842Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6802911Z         {
2022-11-23T01:32:30.6803049Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6803157Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6803240Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6803327Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6803418Z         }
2022-11-23T01:32:30.6803484Z     }
2022-11-23T01:32:30.6803549Z }
2022-11-23T01:32:30.6803639Z ''')
2022-11-23T01:32:30.6803644Z 
2022-11-23T01:32:30.6803649Z 
2022-11-23T01:32:30.6803744Z async_compile.wait(globals())
2022-11-23T01:32:30.6803814Z del async_compile
2022-11-23T01:32:30.6803827Z 
2022-11-23T01:32:30.6803896Z def call(args):
2022-11-23T01:32:30.6803970Z     arg0_1, = args
2022-11-23T01:32:30.6804048Z     args.clear()
2022-11-23T01:32:30.6804246Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6804389Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6804464Z     del arg0_1
2022-11-23T01:32:30.6804533Z     return (buf0, )
2022-11-23T01:32:30.6804551Z 
2022-11-23T01:32:30.6804556Z 
2022-11-23T01:32:30.6804630Z if __name__ == "__main__":
2022-11-23T01:32:30.6804750Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6804885Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6805097Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6805211Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6805216Z 
2022-11-23T01:32:30.6805221Z 
2022-11-23T01:32:30.6805324Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6805398Z import torch
2022-11-23T01:32:30.6805474Z import random
2022-11-23T01:32:30.6805588Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6805711Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6805717Z 
2022-11-23T01:32:30.6805800Z aten = torch.ops.aten
2022-11-23T01:32:30.6805938Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6806037Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6806042Z 
2022-11-23T01:32:30.6806115Z import triton
2022-11-23T01:32:30.6806208Z import triton.language as tl
2022-11-23T01:32:30.6806329Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6806480Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6806485Z 
2022-11-23T01:32:30.6806490Z 
2022-11-23T01:32:30.6806626Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6806836Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6806964Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6807072Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6807137Z {
2022-11-23T01:32:30.6807242Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6807301Z     {
2022-11-23T01:32:30.6807387Z         #pragma omp for 
2022-11-23T01:32:30.6807475Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6807545Z         {
2022-11-23T01:32:30.6807687Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6807829Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.6807922Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6808053Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6808144Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6808241Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6808312Z         }
2022-11-23T01:32:30.6808414Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6808504Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:30.6808572Z         {
2022-11-23T01:32:30.6808654Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6808759Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:30.6808847Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6808981Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.6809072Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6809159Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6809229Z         }
2022-11-23T01:32:30.6809310Z     }
2022-11-23T01:32:30.6809376Z }
2022-11-23T01:32:30.6809462Z ''')
2022-11-23T01:32:30.6809468Z 
2022-11-23T01:32:30.6809472Z 
2022-11-23T01:32:30.6809566Z async_compile.wait(globals())
2022-11-23T01:32:30.6809644Z del async_compile
2022-11-23T01:32:30.6809649Z 
2022-11-23T01:32:30.6809728Z def call(args):
2022-11-23T01:32:30.6809802Z     arg0_1, = args
2022-11-23T01:32:30.6809871Z     args.clear()
2022-11-23T01:32:30.6810068Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6810208Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6810282Z     del arg0_1
2022-11-23T01:32:30.6810358Z     return (buf0, )
2022-11-23T01:32:30.6810363Z 
2022-11-23T01:32:30.6810368Z 
2022-11-23T01:32:30.6810451Z if __name__ == "__main__":
2022-11-23T01:32:30.6810572Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6810702Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6810908Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6811022Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6811027Z 
2022-11-23T01:32:30.6811031Z 
2022-11-23T01:32:30.6811131Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6811205Z import torch
2022-11-23T01:32:30.6811281Z import random
2022-11-23T01:32:30.6811404Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6811531Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6811536Z 
2022-11-23T01:32:30.6811618Z aten = torch.ops.aten
2022-11-23T01:32:30.6811752Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6811853Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6811858Z 
2022-11-23T01:32:30.6811937Z import triton
2022-11-23T01:32:30.6812053Z import triton.language as tl
2022-11-23T01:32:30.6812194Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6812350Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6812359Z 
2022-11-23T01:32:30.6812363Z 
2022-11-23T01:32:30.6812498Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6812706Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6812824Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6812933Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6812999Z {
2022-11-23T01:32:30.6813102Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6813169Z     {
2022-11-23T01:32:30.6813253Z         #pragma omp for 
2022-11-23T01:32:30.6813342Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6813403Z         {
2022-11-23T01:32:30.6813545Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6813688Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6813778Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6813876Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6813945Z         }
2022-11-23T01:32:30.6814046Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6814131Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6814199Z         {
2022-11-23T01:32:30.6814289Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6814392Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6814482Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6814569Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6814636Z         }
2022-11-23T01:32:30.6814695Z     }
2022-11-23T01:32:30.6814760Z }
2022-11-23T01:32:30.6814846Z ''')
2022-11-23T01:32:30.6814851Z 
2022-11-23T01:32:30.6814855Z 
2022-11-23T01:32:30.6814981Z async_compile.wait(globals())
2022-11-23T01:32:30.6815059Z del async_compile
2022-11-23T01:32:30.6815064Z 
2022-11-23T01:32:30.6815141Z def call(args):
2022-11-23T01:32:30.6815216Z     arg0_1, = args
2022-11-23T01:32:30.6815318Z     args.clear()
2022-11-23T01:32:30.6815524Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6815664Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6815736Z     del arg0_1
2022-11-23T01:32:30.6815816Z     return (buf0, )
2022-11-23T01:32:30.6815821Z 
2022-11-23T01:32:30.6815826Z 
2022-11-23T01:32:30.6815906Z if __name__ == "__main__":
2022-11-23T01:32:30.6816024Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6816154Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6816376Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6816492Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6816497Z 
2022-11-23T01:32:30.6816502Z 
2022-11-23T01:32:30.6816601Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6816676Z import torch
2022-11-23T01:32:30.6816755Z import random
2022-11-23T01:32:30.6816875Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6817001Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6817006Z 
2022-11-23T01:32:30.6817088Z aten = torch.ops.aten
2022-11-23T01:32:30.6817219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6817317Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6817322Z 
2022-11-23T01:32:30.6817395Z import triton
2022-11-23T01:32:30.6817489Z import triton.language as tl
2022-11-23T01:32:30.6817614Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6817759Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6817764Z 
2022-11-23T01:32:30.6817768Z 
2022-11-23T01:32:30.6817907Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6818114Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6818232Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6818340Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6818405Z {
2022-11-23T01:32:30.6818508Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6818573Z     {
2022-11-23T01:32:30.6818655Z         #pragma omp for 
2022-11-23T01:32:30.6818743Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6818936Z         {
2022-11-23T01:32:30.6819082Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6819223Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.6819313Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6819450Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6819544Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6819641Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6819702Z         }
2022-11-23T01:32:30.6819805Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6819900Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6819969Z         {
2022-11-23T01:32:30.6820060Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6820163Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:30.6820252Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6820349Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.6820437Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6820524Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6820590Z         }
2022-11-23T01:32:30.6820658Z     }
2022-11-23T01:32:30.6820722Z }
2022-11-23T01:32:30.6820812Z ''')
2022-11-23T01:32:30.6820817Z 
2022-11-23T01:32:30.6820822Z 
2022-11-23T01:32:30.6820908Z async_compile.wait(globals())
2022-11-23T01:32:30.6821032Z del async_compile
2022-11-23T01:32:30.6821040Z 
2022-11-23T01:32:30.6821116Z def call(args):
2022-11-23T01:32:30.6821191Z     arg0_1, = args
2022-11-23T01:32:30.6821266Z     args.clear()
2022-11-23T01:32:30.6821504Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6821644Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6821710Z     del arg0_1
2022-11-23T01:32:30.6821787Z     return (buf0, )
2022-11-23T01:32:30.6821792Z 
2022-11-23T01:32:30.6821796Z 
2022-11-23T01:32:30.6821878Z if __name__ == "__main__":
2022-11-23T01:32:30.6821999Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6822127Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6822354Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6822469Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6822474Z 
2022-11-23T01:32:30.6822839Z [2022-11-23 01:28:40,620] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q5/cq5n3vfxc4ig75gbvy7znxoviigqylywxrcn6lwq44zmr2pkjs3n.py
2022-11-23T01:32:30.6823105Z [2022-11-23 01:28:40,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308
2022-11-23T01:32:30.6823339Z [2022-11-23 01:28:40,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6823651Z [2022-11-23 01:28:40,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6823871Z [2022-11-23 01:28:40,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6824133Z [2022-11-23 01:28:40,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6824413Z [2022-11-23 01:28:40,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6824737Z [2022-11-23 01:28:40,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6825087Z [2022-11-23 01:28:40,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6825412Z [2022-11-23 01:28:40,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6825788Z [2022-11-23 01:28:40,625] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:30.6825887Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6825978Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:30.6826065Z               4 BINARY_MULTIPLY
2022-11-23T01:32:30.6826167Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:30.6826270Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:30.6826362Z              10 CALL_METHOD              1
2022-11-23T01:32:30.6826462Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6826542Z              14 BINARY_ADD
2022-11-23T01:32:30.6826629Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.6826712Z              18 RETURN_VALUE
2022-11-23T01:32:30.6826780Z  
2022-11-23T01:32:30.6826785Z 
2022-11-23T01:32:30.6827103Z [2022-11-23 01:28:40,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:30.6827319Z [2022-11-23 01:28:40,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.6827563Z [2022-11-23 01:28:40,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:30.6827886Z [2022-11-23 01:28:40,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6828136Z [2022-11-23 01:28:40,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.6828443Z [2022-11-23 01:28:40,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.6828743Z [2022-11-23 01:28:40,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:30.6828986Z [2022-11-23 01:28:40,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6829268Z [2022-11-23 01:28:40,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6829513Z [2022-11-23 01:28:40,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.6829773Z [2022-11-23 01:28:40,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6830154Z [2022-11-23 01:28:40,628] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:30.6830492Z [2022-11-23 01:28:40,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6830761Z [2022-11-23 01:28:40,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6831048Z [2022-11-23 01:28:40,629] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6831304Z [2022-11-23 01:28:40,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6831490Z [2022-11-23 01:28:40,632] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6831638Z  __compiled_fn_317 <eval_with_key>.1951 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6831734Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6831911Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:30.6832070Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T01:32:30.6832246Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:30.6832346Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.6832352Z 
2022-11-23T01:32:30.6832674Z [2022-11-23 01:28:40,632] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6832768Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6832864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6832959Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6833058Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6833153Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6833249Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6833329Z              12 RETURN_VALUE
2022-11-23T01:32:30.6833335Z 
2022-11-23T01:32:30.6833395Z  
2022-11-23T01:32:30.6833719Z [2022-11-23 01:28:40,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6833836Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_317)
2022-11-23T01:32:30.6833933Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6834030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6834115Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6834210Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6834321Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6834451Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:30.6834593Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:30.6834689Z              16 CALL_FUNCTION            0
2022-11-23T01:32:30.6834793Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:30.6834928Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6835023Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6835105Z              24 BINARY_SUBSCR
2022-11-23T01:32:30.6835190Z              26 BUILD_TUPLE              1
2022-11-23T01:32:30.6835290Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6835395Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6835488Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6835571Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6835682Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:30.6835781Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6835888Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:30.6835976Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6836056Z              44 BINARY_SUBSCR
2022-11-23T01:32:30.6836165Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:30.6836251Z              48 RETURN_VALUE
2022-11-23T01:32:30.6836257Z 
2022-11-23T01:32:30.6836322Z  
2022-11-23T01:32:30.6836512Z [2022-11-23 01:28:40,634] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6836588Z  - 
2022-11-23T01:32:30.6836704Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6836773Z             {
2022-11-23T01:32:30.6836918Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6837108Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6837233Z                 'obj_weakref': None
2022-11-23T01:32:30.6837460Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6837530Z             }
2022-11-23T01:32:30.6837590Z             
2022-11-23T01:32:30.6837666Z  - 
2022-11-23T01:32:30.6837793Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6837860Z             {
2022-11-23T01:32:30.6838010Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6838121Z                 'code': None,
2022-11-23T01:32:30.6838332Z                 'obj_weakref': <weakref at 0x7f20682c7240; to 'Tensor' at 0x7f20727e3010>
2022-11-23T01:32:30.6838578Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6838647Z             }
2022-11-23T01:32:30.6838718Z             
2022-11-23T01:32:30.6838792Z  - 
2022-11-23T01:32:30.6838929Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6838999Z             {
2022-11-23T01:32:30.6839138Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6839305Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6839432Z                 'obj_weakref': None
2022-11-23T01:32:30.6839663Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6839737Z             }
2022-11-23T01:32:30.6839805Z             
2022-11-23T01:32:30.6839880Z  - 
2022-11-23T01:32:30.6840008Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6840069Z             {
2022-11-23T01:32:30.6840208Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6840427Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6840550Z                 'obj_weakref': None
2022-11-23T01:32:30.6840771Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6840842Z             }
2022-11-23T01:32:30.6840911Z             
2022-11-23T01:32:30.6840978Z  - 
2022-11-23T01:32:30.6841159Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:30.6841259Z             {
2022-11-23T01:32:30.6841434Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:30.6842041Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:30.6842223Z                 'obj_weakref': None
2022-11-23T01:32:30.6842480Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:30.6842556Z             }
2022-11-23T01:32:30.6842617Z             
2022-11-23T01:32:30.6842692Z  - 
2022-11-23T01:32:30.6842881Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:30.6842953Z             {
2022-11-23T01:32:30.6843101Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6843382Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:30.6843508Z                 'obj_weakref': None
2022-11-23T01:32:30.6843716Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6843786Z             }
2022-11-23T01:32:30.6843854Z             
2022-11-23T01:32:30.6843927Z  - 
2022-11-23T01:32:30.6844111Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6844180Z             {
2022-11-23T01:32:30.6844328Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6844595Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:30.6844722Z                 'obj_weakref': None
2022-11-23T01:32:30.6844934Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6845002Z             }
2022-11-23T01:32:30.6845075Z             
2022-11-23T01:32:30.6845149Z  - 
2022-11-23T01:32:30.6845333Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6845402Z             {
2022-11-23T01:32:30.6845539Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6845808Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:30.6845931Z                 'obj_weakref': None
2022-11-23T01:32:30.6846144Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6846212Z             }
2022-11-23T01:32:30.6846282Z             
2022-11-23T01:32:30.6846549Z [2022-11-23 01:28:40,638] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309
2022-11-23T01:32:30.6846908Z [2022-11-23 01:28:40,647] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ws/cwsrrcl256b3x4olc5te2u6q2bsbetxfrilfycrtaoyzaizev4t7.py
2022-11-23T01:32:30.6847177Z [2022-11-23 01:28:40,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309
2022-11-23T01:32:30.6847183Z 
2022-11-23T01:32:30.6847284Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6847357Z import torch
2022-11-23T01:32:30.6847433Z import random
2022-11-23T01:32:30.6847558Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6847685Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6847691Z 
2022-11-23T01:32:30.6847778Z aten = torch.ops.aten
2022-11-23T01:32:30.6847912Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6848013Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6848018Z 
2022-11-23T01:32:30.6848132Z import triton
2022-11-23T01:32:30.6848227Z import triton.language as tl
2022-11-23T01:32:30.6848355Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6848500Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6848527Z 
2022-11-23T01:32:30.6848532Z 
2022-11-23T01:32:30.6848672Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6848885Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6849008Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6849115Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6849181Z {
2022-11-23T01:32:30.6849289Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6849355Z     {
2022-11-23T01:32:30.6849437Z         #pragma omp for 
2022-11-23T01:32:30.6849531Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6849591Z         {
2022-11-23T01:32:30.6849737Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6849878Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6849970Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6850071Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6850139Z         }
2022-11-23T01:32:30.6850240Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6850329Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6850390Z         {
2022-11-23T01:32:30.6850480Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6850586Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6850680Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6850767Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6850833Z         }
2022-11-23T01:32:30.6850892Z     }
2022-11-23T01:32:30.6850956Z }
2022-11-23T01:32:30.6851043Z ''')
2022-11-23T01:32:30.6851049Z 
2022-11-23T01:32:30.6851053Z 
2022-11-23T01:32:30.6851146Z async_compile.wait(globals())
2022-11-23T01:32:30.6851228Z del async_compile
2022-11-23T01:32:30.6851233Z 
2022-11-23T01:32:30.6851310Z def call(args):
2022-11-23T01:32:30.6851385Z     arg0_1, = args
2022-11-23T01:32:30.6851460Z     args.clear()
2022-11-23T01:32:30.6851674Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6851816Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6851890Z     del arg0_1
2022-11-23T01:32:30.6851967Z     return (buf0, )
2022-11-23T01:32:30.6851973Z 
2022-11-23T01:32:30.6851978Z 
2022-11-23T01:32:30.6852059Z if __name__ == "__main__":
2022-11-23T01:32:30.6852178Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6852307Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6852505Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6852620Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6852625Z 
2022-11-23T01:32:30.6852632Z 
2022-11-23T01:32:30.6852731Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6852806Z import torch
2022-11-23T01:32:30.6852883Z import random
2022-11-23T01:32:30.6853009Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6853134Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6853139Z 
2022-11-23T01:32:30.6853220Z aten = torch.ops.aten
2022-11-23T01:32:30.6853351Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6853448Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6853454Z 
2022-11-23T01:32:30.6853527Z import triton
2022-11-23T01:32:30.6853619Z import triton.language as tl
2022-11-23T01:32:30.6853746Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6853889Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6853895Z 
2022-11-23T01:32:30.6853899Z 
2022-11-23T01:32:30.6854037Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6854287Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6854407Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6854543Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6854610Z {
2022-11-23T01:32:30.6854712Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6854779Z     {
2022-11-23T01:32:30.6854860Z         #pragma omp for 
2022-11-23T01:32:30.6854949Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:32:30.6855009Z         {
2022-11-23T01:32:30.6855150Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6855293Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:30.6855383Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6855524Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6855614Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6855714Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6855782Z         }
2022-11-23T01:32:30.6855876Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6855972Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:32:30.6856046Z         {
2022-11-23T01:32:30.6856136Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6856239Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:30.6856330Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:30.6856432Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:30.6856514Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:30.6856599Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:30.6856666Z         }
2022-11-23T01:32:30.6856733Z     }
2022-11-23T01:32:30.6856797Z }
2022-11-23T01:32:30.6856883Z ''')
2022-11-23T01:32:30.6856888Z 
2022-11-23T01:32:30.6856892Z 
2022-11-23T01:32:30.6856987Z async_compile.wait(globals())
2022-11-23T01:32:30.6857058Z del async_compile
2022-11-23T01:32:30.6857064Z 
2022-11-23T01:32:30.6857142Z def call(args):
2022-11-23T01:32:30.6857217Z     arg0_1, = args
2022-11-23T01:32:30.6857293Z     args.clear()
2022-11-23T01:32:30.6857505Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6857649Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6857722Z     del arg0_1
2022-11-23T01:32:30.6857790Z     return (buf0, )
2022-11-23T01:32:30.6857796Z 
2022-11-23T01:32:30.6857800Z 
2022-11-23T01:32:30.6857881Z if __name__ == "__main__":
2022-11-23T01:32:30.6858002Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6858132Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6858336Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6858451Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6858456Z 
2022-11-23T01:32:30.6858526Z ok (6.322s)
2022-11-23T01:32:30.6859007Z   test_views3_cpu (__main__.CpuTests) ... [2022-11-23 01:28:40,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6859323Z [2022-11-23 01:28:40,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6859550Z [2022-11-23 01:28:40,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6859808Z [2022-11-23 01:28:40,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6860090Z [2022-11-23 01:28:40,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6860410Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6860804Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6861126Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6861532Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979> 
2022-11-23T01:32:30.6861637Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6861738Z               2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.6861830Z               4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.6861931Z               6 LOAD_METHOD              3 (index)
2022-11-23T01:32:30.6862029Z               8 LOAD_FAST                0 (arg1)
2022-11-23T01:32:30.6862127Z              10 LOAD_FAST                1 (arg2)
2022-11-23T01:32:30.6862223Z              12 BUILD_LIST               1
2022-11-23T01:32:30.6862314Z              14 CALL_METHOD              2
2022-11-23T01:32:30.6862415Z              16 STORE_FAST               2 (index)
2022-11-23T01:32:30.6862420Z 
2022-11-23T01:32:30.6862524Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6862615Z              20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.6862711Z              22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.6862807Z              24 LOAD_METHOD              4 (view)
2022-11-23T01:32:30.6862904Z              26 LOAD_FAST                2 (index)
2022-11-23T01:32:30.6862997Z              28 BUILD_LIST               0
2022-11-23T01:32:30.6863104Z              30 LOAD_CONST               1 ((1, 2232, 64))
2022-11-23T01:32:30.6863196Z              32 LIST_EXTEND              1
2022-11-23T01:32:30.6863280Z              34 CALL_METHOD              2
2022-11-23T01:32:30.6863379Z              36 STORE_FAST               3 (view_1)
2022-11-23T01:32:30.6863384Z 
2022-11-23T01:32:30.6863484Z 982          38 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6863581Z              40 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.6863678Z              42 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.6863778Z              44 LOAD_METHOD              4 (view)
2022-11-23T01:32:30.6863876Z              46 LOAD_FAST                3 (view_1)
2022-11-23T01:32:30.6863959Z              48 BUILD_LIST               0
2022-11-23T01:32:30.6864066Z              50 LOAD_CONST               2 ((1, 12, 62, 192))
2022-11-23T01:32:30.6864158Z              52 LIST_EXTEND              1
2022-11-23T01:32:30.6864250Z              54 CALL_METHOD              2
2022-11-23T01:32:30.6864348Z              56 STORE_FAST               4 (view_2)
2022-11-23T01:32:30.6864353Z 
2022-11-23T01:32:30.6864448Z 983          58 LOAD_FAST                4 (view_2)
2022-11-23T01:32:30.6864528Z              60 RETURN_VALUE
2022-11-23T01:32:30.6864595Z  
2022-11-23T01:32:30.6864601Z 
2022-11-23T01:32:30.6864914Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980
2022-11-23T01:32:30.6865141Z [2022-11-23 01:28:40,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.6865509Z [2022-11-23 01:28:40,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6865805Z [2022-11-23 01:28:40,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.6866118Z [2022-11-23 01:28:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.6866381Z [2022-11-23 01:28:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T01:32:30.6866693Z [2022-11-23 01:28:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:30.6867000Z [2022-11-23 01:28:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6867337Z [2022-11-23 01:28:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.6867589Z [2022-11-23 01:28:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T01:32:30.6867899Z [2022-11-23 01:28:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981
2022-11-23T01:32:30.6868124Z [2022-11-23 01:28:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.6868488Z [2022-11-23 01:28:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6868786Z [2022-11-23 01:28:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.6869096Z [2022-11-23 01:28:40,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.6869358Z [2022-11-23 01:28:40,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T01:32:30.6869644Z [2022-11-23 01:28:40,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:30.6869961Z [2022-11-23 01:28:40,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.6870377Z [2022-11-23 01:28:40,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.6870729Z [2022-11-23 01:28:40,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.6870996Z [2022-11-23 01:28:40,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T01:32:30.6871303Z [2022-11-23 01:28:40,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982
2022-11-23T01:32:30.6871527Z [2022-11-23 01:28:40,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.6871893Z [2022-11-23 01:28:40,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6872190Z [2022-11-23 01:28:40,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.6872493Z [2022-11-23 01:28:40,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.6872756Z [2022-11-23 01:28:40,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T01:32:30.6873035Z [2022-11-23 01:28:40,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:30.6873353Z [2022-11-23 01:28:40,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.6873703Z [2022-11-23 01:28:40,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.6874045Z [2022-11-23 01:28:40,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.6874297Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T01:32:30.6874626Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983
2022-11-23T01:32:30.6874853Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T01:32:30.6875107Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.6875499Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979>
2022-11-23T01:32:30.6875757Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.6876002Z [2022-11-23 01:28:40,676] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6876264Z [2022-11-23 01:28:40,677] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6876525Z [2022-11-23 01:28:40,681] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6876720Z [2022-11-23 01:28:40,681] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6876856Z  __compiled_fn_318 <eval_with_key>.1957 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6876952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6877044Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.6877168Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:30.6877292Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T01:32:30.6877420Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T01:32:30.6877524Z output, output, output, ((view_1,),), {}
2022-11-23T01:32:30.6877531Z 
2022-11-23T01:32:30.6877863Z [2022-11-23 01:28:40,681] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6877959Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6878059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6878155Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6878256Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6878347Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6878443Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6878525Z              12 RETURN_VALUE
2022-11-23T01:32:30.6878531Z 
2022-11-23T01:32:30.6878595Z  
2022-11-23T01:32:30.6878921Z [2022-11-23 01:28:40,681] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6879038Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_318)
2022-11-23T01:32:30.6879135Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6879236Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6879320Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6879416Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6879513Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6879587Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.6879680Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.6879777Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.6879857Z              18 RETURN_VALUE
2022-11-23T01:32:30.6879862Z 
2022-11-23T01:32:30.6879928Z  
2022-11-23T01:32:30.6880121Z [2022-11-23 01:28:40,682] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6880196Z  - 
2022-11-23T01:32:30.6880346Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6880417Z             {
2022-11-23T01:32:30.6880565Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6880761Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.6880909Z                 'obj_weakref': None
2022-11-23T01:32:30.6881138Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6881210Z             }
2022-11-23T01:32:30.6881271Z             
2022-11-23T01:32:30.6881347Z  - 
2022-11-23T01:32:30.6881475Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6881543Z             {
2022-11-23T01:32:30.6881692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6881804Z                 'code': None,
2022-11-23T01:32:30.6882014Z                 'obj_weakref': <weakref at 0x7f20726c1ee0; to 'Tensor' at 0x7f20680bc130>
2022-11-23T01:32:30.6882263Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6882333Z             }
2022-11-23T01:32:30.6882402Z             
2022-11-23T01:32:30.6882478Z  - 
2022-11-23T01:32:30.6882603Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.6882678Z             {
2022-11-23T01:32:30.6882826Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6882930Z                 'code': None,
2022-11-23T01:32:30.6883134Z                 'obj_weakref': <weakref at 0x7f20728466b0; to 'Tensor' at 0x7f21279e6f20>
2022-11-23T01:32:30.6883383Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6883453Z             }
2022-11-23T01:32:30.6883522Z             
2022-11-23T01:32:30.6883598Z  - 
2022-11-23T01:32:30.6883734Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6883794Z             {
2022-11-23T01:32:30.6883935Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6884115Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6884240Z                 'obj_weakref': None
2022-11-23T01:32:30.6884474Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6884547Z             }
2022-11-23T01:32:30.6884614Z             
2022-11-23T01:32:30.6884684Z  - 
2022-11-23T01:32:30.6884812Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6884881Z             {
2022-11-23T01:32:30.6885022Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6885246Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6885371Z                 'obj_weakref': None
2022-11-23T01:32:30.6885597Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6885658Z             }
2022-11-23T01:32:30.6885731Z             
2022-11-23T01:32:30.6885806Z  - 
2022-11-23T01:32:30.6885946Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.6886015Z             {
2022-11-23T01:32:30.6886142Z                 'guard_types': None,
2022-11-23T01:32:30.6886255Z                 'code': None,
2022-11-23T01:32:30.6886373Z                 'obj_weakref': None
2022-11-23T01:32:30.6886499Z                 'guarded_class': None
2022-11-23T01:32:30.6886567Z             }
2022-11-23T01:32:30.6886637Z             
2022-11-23T01:32:30.6886904Z [2022-11-23 01:28:40,688] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310
2022-11-23T01:32:30.6887266Z [2022-11-23 01:28:42,263] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fs/cfsqjxwodmvfru7x2hpc43uuvx5t527gp6bh7xflxye2mk6tsasq.py
2022-11-23T01:32:30.6887531Z [2022-11-23 01:28:42,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310
2022-11-23T01:32:30.6887537Z 
2022-11-23T01:32:30.6887638Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6887705Z import torch
2022-11-23T01:32:30.6887815Z import random
2022-11-23T01:32:30.6887941Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6888070Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6888097Z 
2022-11-23T01:32:30.6888182Z aten = torch.ops.aten
2022-11-23T01:32:30.6888325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6888424Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6888429Z 
2022-11-23T01:32:30.6888496Z import triton
2022-11-23T01:32:30.6888589Z import triton.language as tl
2022-11-23T01:32:30.6888719Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6888865Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6888871Z 
2022-11-23T01:32:30.6888876Z 
2022-11-23T01:32:30.6889015Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6889225Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6889355Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.6889467Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:30.6889568Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:30.6889638Z {
2022-11-23T01:32:30.6889740Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6889809Z     {
2022-11-23T01:32:30.6889892Z         #pragma omp for 
2022-11-23T01:32:30.6889981Z         for(long i0=0; i0<2232; i0+=1)
2022-11-23T01:32:30.6890049Z         {
2022-11-23T01:32:30.6890128Z             #pragma GCC ivdep
2022-11-23T01:32:30.6890218Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:30.6890287Z             {
2022-11-23T01:32:30.6890357Z                 {
2022-11-23T01:32:30.6890429Z                     {
2022-11-23T01:32:30.6890532Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6890645Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:30.6890744Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:30.6890818Z                     }
2022-11-23T01:32:30.6890890Z                 }
2022-11-23T01:32:30.6890961Z             }
2022-11-23T01:32:30.6891029Z         }
2022-11-23T01:32:30.6891100Z     }
2022-11-23T01:32:30.6891165Z }
2022-11-23T01:32:30.6891244Z ''')
2022-11-23T01:32:30.6891249Z 
2022-11-23T01:32:30.6891254Z 
2022-11-23T01:32:30.6891349Z async_compile.wait(globals())
2022-11-23T01:32:30.6891428Z del async_compile
2022-11-23T01:32:30.6891433Z 
2022-11-23T01:32:30.6891508Z def call(args):
2022-11-23T01:32:30.6891589Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.6891664Z     args.clear()
2022-11-23T01:32:30.6891870Z     buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6892035Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6892108Z     del arg0_1
2022-11-23T01:32:30.6892183Z     del arg1_1
2022-11-23T01:32:30.6892311Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T01:32:30.6892316Z 
2022-11-23T01:32:30.6892321Z 
2022-11-23T01:32:30.6892403Z if __name__ == "__main__":
2022-11-23T01:32:30.6892523Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6892656Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6892863Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6893053Z     arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.6893176Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.6893182Z 
2022-11-23T01:32:30.6893252Z ok (1.618s)
2022-11-23T01:32:30.6893779Z   test_zero_dim_reductions_cpu (__main__.CpuTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.6893898Z   warnings.warn(
2022-11-23T01:32:30.6894148Z [2022-11-23 01:28:42,303] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:30.6894367Z [2022-11-23 01:28:42,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:30.6894642Z [2022-11-23 01:28:42,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:30.6894929Z [2022-11-23 01:28:42,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:30.6895170Z [2022-11-23 01:28:42,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.6895417Z [2022-11-23 01:28:42,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:30.6895662Z [2022-11-23 01:28:42,305] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.6895903Z [2022-11-23 01:28:42,307] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.6896097Z [2022-11-23 01:28:42,307] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6896244Z  __compiled_fn_319 <eval_with_key>.1963 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6896338Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:30.6896453Z call_function, all_1, aten.all, (x_0_, 1, True), {}
2022-11-23T01:32:30.6896546Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:30.6896558Z 
2022-11-23T01:32:30.6896886Z [2022-11-23 01:28:42,308] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:30.6896987Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:30.6897084Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6897183Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:30.6897267Z                6 RETURN_VALUE
2022-11-23T01:32:30.6897272Z 
2022-11-23T01:32:30.6897338Z  
2022-11-23T01:32:30.6897662Z [2022-11-23 01:28:42,308] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:30.6897782Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_319)
2022-11-23T01:32:30.6897870Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6897965Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6898048Z                6 BINARY_SUBSCR
2022-11-23T01:32:30.6898145Z                8 CALL_FUNCTION            1
2022-11-23T01:32:30.6898245Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.6898327Z               12 RETURN_VALUE
2022-11-23T01:32:30.6898332Z 
2022-11-23T01:32:30.6898395Z  
2022-11-23T01:32:30.6898574Z [2022-11-23 01:28:42,309] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6898648Z  - 
2022-11-23T01:32:30.6898773Z             local 'x' LIST_LENGTH
2022-11-23T01:32:30.6898959Z             {
2022-11-23T01:32:30.6899108Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6899297Z                 'code': ['___check_type_id(x, 94768292458112)', 'len(x) == 3'],
2022-11-23T01:32:30.6899426Z                 'obj_weakref': None
2022-11-23T01:32:30.6899647Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6899718Z             }
2022-11-23T01:32:30.6899787Z             
2022-11-23T01:32:30.6899864Z  - 
2022-11-23T01:32:30.6899992Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:30.6900063Z             {
2022-11-23T01:32:30.6900204Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6900364Z                 'code': ['___check_obj_id(fn, 139777346329504)'],
2022-11-23T01:32:30.6900601Z                 'obj_weakref': <weakref at 0x7f21159b7d80; to 'OpOverloadPacket' at 0x7f2073135ba0>
2022-11-23T01:32:30.6900913Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:30.6900990Z             }
2022-11-23T01:32:30.6901058Z             
2022-11-23T01:32:30.6901137Z  - 
2022-11-23T01:32:30.6901296Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:30.6901359Z             {
2022-11-23T01:32:30.6901508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6901623Z                 'code': None,
2022-11-23T01:32:30.6901835Z                 'obj_weakref': <weakref at 0x7f20681c6b10; to 'Tensor' at 0x7f2060157420>
2022-11-23T01:32:30.6902087Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6902157Z             }
2022-11-23T01:32:30.6902230Z             
2022-11-23T01:32:30.6902316Z  - 
2022-11-23T01:32:30.6902466Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6902546Z             {
2022-11-23T01:32:30.6902693Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6902888Z                 'code': ['___check_type_id(x[1], 94768292480384)', 'x[1] == 1'],
2022-11-23T01:32:30.6903016Z                 'obj_weakref': None
2022-11-23T01:32:30.6903241Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6903306Z             }
2022-11-23T01:32:30.6903374Z             
2022-11-23T01:32:30.6903456Z  - 
2022-11-23T01:32:30.6903589Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6903657Z             {
2022-11-23T01:32:30.6903800Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6903971Z                 'code': ['___check_obj_id(x[2], 94768292517600)'],
2022-11-23T01:32:30.6904089Z                 'obj_weakref': None
2022-11-23T01:32:30.6904318Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:30.6904387Z             }
2022-11-23T01:32:30.6904459Z             
2022-11-23T01:32:30.6904727Z [2022-11-23 01:28:42,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311
2022-11-23T01:32:30.6905103Z [2022-11-23 01:28:43,835] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ca/ccayxiabhvwmrnwossacfws77jmmsrdq7ybkm5nbfj3ncwyhvqdr.py
2022-11-23T01:32:30.6905379Z [2022-11-23 01:28:43,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311
2022-11-23T01:32:30.6905631Z [2022-11-23 01:28:43,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:30.6905845Z [2022-11-23 01:28:43,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:30.6906098Z [2022-11-23 01:28:43,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:30.6906393Z [2022-11-23 01:28:43,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:30.6906647Z [2022-11-23 01:28:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.6906897Z [2022-11-23 01:28:43,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:30.6907154Z [2022-11-23 01:28:43,874] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.6907396Z [2022-11-23 01:28:43,876] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.6907598Z [2022-11-23 01:28:43,877] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6907746Z  __compiled_fn_320 <eval_with_key>.1969 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6907832Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:30.6907953Z call_function, all_1, aten.all, (x_0_, 1, False), {}
2022-11-23T01:32:30.6908054Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:30.6908060Z 
2022-11-23T01:32:30.6908432Z [2022-11-23 01:28:43,877] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:30.6908536Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:30.6908636Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6908759Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:30.6908843Z                6 RETURN_VALUE
2022-11-23T01:32:30.6908849Z 
2022-11-23T01:32:30.6908908Z  
2022-11-23T01:32:30.6909249Z [2022-11-23 01:28:43,877] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:30.6909369Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_320)
2022-11-23T01:32:30.6909468Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.6909566Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6909650Z                6 BINARY_SUBSCR
2022-11-23T01:32:30.6909747Z                8 CALL_FUNCTION            1
2022-11-23T01:32:30.6909848Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.6909923Z               12 RETURN_VALUE
2022-11-23T01:32:30.6909928Z 
2022-11-23T01:32:30.6909995Z  
2022-11-23T01:32:30.6910191Z [2022-11-23 01:28:43,878] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6910329Z  - 
2022-11-23T01:32:30.6910475Z             local 'x' LIST_LENGTH
2022-11-23T01:32:30.6910559Z             {
2022-11-23T01:32:30.6910724Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6910929Z                 'code': ['___check_type_id(x, 94768292458112)', 'len(x) == 3'],
2022-11-23T01:32:30.6911070Z                 'obj_weakref': None
2022-11-23T01:32:30.6911300Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6911372Z             }
2022-11-23T01:32:30.6911442Z             
2022-11-23T01:32:30.6911519Z  - 
2022-11-23T01:32:30.6911650Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:30.6911713Z             {
2022-11-23T01:32:30.6911858Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6912043Z                 'code': ['___check_obj_id(fn, 139777346329504)'],
2022-11-23T01:32:30.6912319Z                 'obj_weakref': <weakref at 0x7f21159b7d80; to 'OpOverloadPacket' at 0x7f2073135ba0>
2022-11-23T01:32:30.6912576Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:30.6912647Z             }
2022-11-23T01:32:30.6912714Z             
2022-11-23T01:32:30.6912784Z  - 
2022-11-23T01:32:30.6912914Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:30.6912986Z             {
2022-11-23T01:32:30.6913136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6913248Z                 'code': None,
2022-11-23T01:32:30.6913463Z                 'obj_weakref': <weakref at 0x7f20682c6a70; to 'Tensor' at 0x7f20726c3c90>
2022-11-23T01:32:30.6913721Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6913784Z             }
2022-11-23T01:32:30.6913854Z             
2022-11-23T01:32:30.6913931Z  - 
2022-11-23T01:32:30.6914064Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:30.6914138Z             {
2022-11-23T01:32:30.6914286Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6914477Z                 'code': ['___check_type_id(x[1], 94768292480384)', 'x[1] == 1'],
2022-11-23T01:32:30.6914596Z                 'obj_weakref': None
2022-11-23T01:32:30.6914819Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.6914890Z             }
2022-11-23T01:32:30.6914959Z             
2022-11-23T01:32:30.6915035Z  - 
2022-11-23T01:32:30.6915167Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:30.6915237Z             {
2022-11-23T01:32:30.6915371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6915575Z                 'code': ['___check_obj_id(x[2], 94768292517568)'],
2022-11-23T01:32:30.6915701Z                 'obj_weakref': None
2022-11-23T01:32:30.6915924Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:30.6916018Z             }
2022-11-23T01:32:30.6916088Z             
2022-11-23T01:32:30.6916353Z [2022-11-23 01:28:43,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312
2022-11-23T01:32:30.6916719Z [2022-11-23 01:28:43,889] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bi/cbifahsv4hlsnxtrogacak5jxc7varmumhzduml36vkietp4fc4x.py
2022-11-23T01:32:30.6916990Z [2022-11-23 01:28:43,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312
2022-11-23T01:32:30.6916996Z 
2022-11-23T01:32:30.6917100Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6917178Z import torch
2022-11-23T01:32:30.6917253Z import random
2022-11-23T01:32:30.6917381Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6917512Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6917517Z 
2022-11-23T01:32:30.6917602Z aten = torch.ops.aten
2022-11-23T01:32:30.6917735Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6917838Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6917843Z 
2022-11-23T01:32:30.6917922Z import triton
2022-11-23T01:32:30.6918018Z import triton.language as tl
2022-11-23T01:32:30.6918149Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6918295Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6918301Z 
2022-11-23T01:32:30.6918305Z 
2022-11-23T01:32:30.6918446Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6918659Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6918771Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:32:30.6918837Z {
2022-11-23T01:32:30.6918923Z     #pragma GCC ivdep
2022-11-23T01:32:30.6919011Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6919078Z     {
2022-11-23T01:32:30.6919148Z         {
2022-11-23T01:32:30.6919217Z             {
2022-11-23T01:32:30.6919326Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:32:30.6919419Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:32:30.6919509Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.6919578Z             }
2022-11-23T01:32:30.6919645Z         }
2022-11-23T01:32:30.6919711Z     }
2022-11-23T01:32:30.6919770Z }
2022-11-23T01:32:30.6919859Z ''')
2022-11-23T01:32:30.6919864Z 
2022-11-23T01:32:30.6919869Z 
2022-11-23T01:32:30.6919964Z async_compile.wait(globals())
2022-11-23T01:32:30.6920045Z del async_compile
2022-11-23T01:32:30.6920050Z 
2022-11-23T01:32:30.6920125Z def call(args):
2022-11-23T01:32:30.6920203Z     arg0_1, = args
2022-11-23T01:32:30.6920279Z     args.clear()
2022-11-23T01:32:30.6920480Z     buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.6920583Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6920663Z     return (buf0, )
2022-11-23T01:32:30.6920669Z 
2022-11-23T01:32:30.6920673Z 
2022-11-23T01:32:30.6920761Z if __name__ == "__main__":
2022-11-23T01:32:30.6920881Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6921012Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6921216Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:30.6921331Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6921336Z 
2022-11-23T01:32:30.6921341Z 
2022-11-23T01:32:30.6921440Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6921508Z import torch
2022-11-23T01:32:30.6921586Z import random
2022-11-23T01:32:30.6921712Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6921839Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6921844Z 
2022-11-23T01:32:30.6921962Z aten = torch.ops.aten
2022-11-23T01:32:30.6922105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6922204Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6922233Z 
2022-11-23T01:32:30.6922312Z import triton
2022-11-23T01:32:30.6922399Z import triton.language as tl
2022-11-23T01:32:30.6922529Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6922675Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6922680Z 
2022-11-23T01:32:30.6922685Z 
2022-11-23T01:32:30.6922824Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6923036Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6923156Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:32:30.6923226Z {
2022-11-23T01:32:30.6923301Z     #pragma GCC ivdep
2022-11-23T01:32:30.6923388Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:30.6923460Z     {
2022-11-23T01:32:30.6923535Z         {
2022-11-23T01:32:30.6923606Z             {
2022-11-23T01:32:30.6923719Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:32:30.6923813Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:32:30.6923899Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:30.6923967Z             }
2022-11-23T01:32:30.6924040Z         }
2022-11-23T01:32:30.6924108Z     }
2022-11-23T01:32:30.6924177Z }
2022-11-23T01:32:30.6924263Z ''')
2022-11-23T01:32:30.6924268Z 
2022-11-23T01:32:30.6924274Z 
2022-11-23T01:32:30.6924369Z async_compile.wait(globals())
2022-11-23T01:32:30.6924441Z del async_compile
2022-11-23T01:32:30.6924446Z 
2022-11-23T01:32:30.6924523Z def call(args):
2022-11-23T01:32:30.6924598Z     arg0_1, = args
2022-11-23T01:32:30.6924675Z     args.clear()
2022-11-23T01:32:30.6924867Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:30.6924977Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.6925053Z     return (buf0, )
2022-11-23T01:32:30.6925061Z 
2022-11-23T01:32:30.6925065Z 
2022-11-23T01:32:30.6925148Z if __name__ == "__main__":
2022-11-23T01:32:30.6925261Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6925394Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6925596Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:30.6925710Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6925715Z 
2022-11-23T01:32:30.6925788Z ok (1.625s)
2022-11-23T01:32:30.6926094Z   test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.6926411Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.6926632Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.6926883Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.6927162Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.6927487Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6927835Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6928164Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.6928571Z [2022-11-23 01:28:43,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769> 
2022-11-23T01:32:30.6928676Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6928777Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6928887Z                4 BINARY_ADD
2022-11-23T01:32:30.6928892Z 
2022-11-23T01:32:30.6928996Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6929088Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:30.6929093Z 
2022-11-23T01:32:30.6929203Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T01:32:30.6929209Z 
2022-11-23T01:32:30.6929311Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6929414Z               14 LOAD_ATTR                2 (float32)
2022-11-23T01:32:30.6929419Z 
2022-11-23T01:32:30.6929518Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6929619Z               18 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.6929624Z 
2022-11-23T01:32:30.6929796Z 2772          20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:30.6929899Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.6929904Z 
2022-11-23T01:32:30.6930007Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6930102Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:30.6930107Z 
2022-11-23T01:32:30.6930205Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T01:32:30.6930210Z 
2022-11-23T01:32:30.6930306Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T01:32:30.6930311Z 
2022-11-23T01:32:30.6930410Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T01:32:30.6930415Z 
2022-11-23T01:32:30.6930514Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T01:32:30.6930519Z 
2022-11-23T01:32:30.6930620Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6930724Z               38 LOAD_ATTR                2 (float32)
2022-11-23T01:32:30.6930729Z 
2022-11-23T01:32:30.6930825Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6930930Z               42 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.6930935Z 
2022-11-23T01:32:30.6931098Z 2777          44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:30.6931202Z               46 CALL_FUNCTION_KW         6
2022-11-23T01:32:30.6931207Z 
2022-11-23T01:32:30.6931309Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6931407Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:30.6931504Z               52 LOAD_CONST               6 (2)
2022-11-23T01:32:30.6931601Z               54 LOAD_CONST               7 (3)
2022-11-23T01:32:30.6931700Z               56 LOAD_CONST               0 (None)
2022-11-23T01:32:30.6931856Z               58 LOAD_CONST               8 (('names',))
2022-11-23T01:32:30.6931961Z               60 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.6931967Z 
2022-11-23T01:32:30.6932072Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6932197Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6932297Z               66 LOAD_ATTR                4 (ones)
2022-11-23T01:32:30.6932392Z               68 LOAD_CONST               4 (8)
2022-11-23T01:32:30.6932491Z               70 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6932592Z               72 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.6932739Z               74 LOAD_CONST               9 (('device',))
2022-11-23T01:32:30.6932839Z               76 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.6932921Z               78 BINARY_ADD
2022-11-23T01:32:30.6932926Z 
2022-11-23T01:32:30.6933025Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.6933123Z               82 LOAD_ATTR                5 (full)
2022-11-23T01:32:30.6933225Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T01:32:30.6933323Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T01:32:30.6933419Z               88 LOAD_FAST                0 (a)
2022-11-23T01:32:30.6933542Z               90 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.6933699Z               92 LOAD_CONST               9 (('device',))
2022-11-23T01:32:30.6933800Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.6933828Z 
2022-11-23T01:32:30.6933926Z 2770          96 BUILD_TUPLE              6
2022-11-23T01:32:30.6934010Z               98 RETURN_VALUE
2022-11-23T01:32:30.6934078Z  
2022-11-23T01:32:30.6934083Z 
2022-11-23T01:32:30.6934399Z [2022-11-23 01:28:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771
2022-11-23T01:32:30.6934615Z [2022-11-23 01:28:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.6934850Z [2022-11-23 01:28:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.6935138Z [2022-11-23 01:28:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6935456Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:30.6935715Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.6936115Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6936431Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773
2022-11-23T01:32:30.6936801Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.6937118Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774
2022-11-23T01:32:30.6937517Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:30.6938070Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6938382Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775
2022-11-23T01:32:30.6939005Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T01:32:30.6939471Z [2022-11-23 01:28:43,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.6939774Z [2022-11-23 01:28:43,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:30.6940253Z [2022-11-23 01:28:43,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:30.6940813Z [2022-11-23 01:28:43,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.6941131Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:30.6941438Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6941863Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6942173Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778
2022-11-23T01:32:30.6942553Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.6942861Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779
2022-11-23T01:32:30.6943273Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.6943581Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780
2022-11-23T01:32:30.6944030Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.6944339Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781
2022-11-23T01:32:30.6944823Z [2022-11-23 01:28:43,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.6945141Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782
2022-11-23T01:32:30.6945653Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.6946312Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6946627Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783
2022-11-23T01:32:30.6947172Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.6947818Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.6948149Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:30.6948755Z [2022-11-23 01:28:43,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:30.6949385Z [2022-11-23 01:28:43,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.6949697Z [2022-11-23 01:28:43,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785
2022-11-23T01:32:30.6950011Z [2022-11-23 01:28:43,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6950531Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6950933Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.6951365Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.6951840Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.6952365Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.6952927Z [2022-11-23 01:28:43,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:30.6953239Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786
2022-11-23T01:32:30.6953559Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6953914Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6954437Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6954888Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.6955395Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.6955914Z [2022-11-23 01:28:43,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.6956448Z [2022-11-23 01:28:43,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:30.6957017Z [2022-11-23 01:28:43,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.6957397Z [2022-11-23 01:28:43,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6957702Z [2022-11-23 01:28:43,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787
2022-11-23T01:32:30.6958057Z [2022-11-23 01:28:43,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6958551Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.6959008Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.6959500Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:30.6960023Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T01:32:30.6960583Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.6961171Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:32:30.6961777Z [2022-11-23 01:28:43,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:30.6962112Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770
2022-11-23T01:32:30.6962486Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.6962737Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6963120Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769>
2022-11-23T01:32:30.6963374Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.6963619Z [2022-11-23 01:28:43,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.6963877Z [2022-11-23 01:28:43,909] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.6964127Z [2022-11-23 01:28:43,914] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.6964324Z [2022-11-23 01:28:43,915] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.6964472Z  __compiled_fn_321 <eval_with_key>.1975 opcode, name, target, args, kwargs
2022-11-23T01:32:30.6964570Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.6964755Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.6965074Z call_function, zeros, <built-in method zeros of type object at 0x7f209c394c60>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:30.6965401Z call_function, zeros_1, <built-in method zeros of type object at 0x7f209c394c60>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:30.6965653Z call_function, zeros_2, <built-in method zeros of type object at 0x7f209c394c60>, (2, 3), {'names': None}
2022-11-23T01:32:30.6965919Z call_function, ones, <built-in method ones of type object at 0x7f209c394c60>, (8,), {'device': device(type='cpu')}
2022-11-23T01:32:30.6966099Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T01:32:30.6966378Z call_function, full, <built-in method full of type object at 0x7f209c394c60>, ((2, 3), 3.1416), {'device': device(type='cpu')}
2022-11-23T01:32:30.6966529Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T01:32:30.6966536Z 
2022-11-23T01:32:30.6966876Z [2022-11-23 01:28:43,915] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6966981Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.6967085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6967183Z               4 BUILD_MAP                0
2022-11-23T01:32:30.6967286Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.6967372Z               8 DICT_MERGE               1
2022-11-23T01:32:30.6967471Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.6967555Z              12 RETURN_VALUE
2022-11-23T01:32:30.6967560Z 
2022-11-23T01:32:30.6967632Z  
2022-11-23T01:32:30.6967968Z [2022-11-23 01:28:43,915] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.6968116Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_321)
2022-11-23T01:32:30.6968217Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.6968319Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6968422Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.6968517Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.6968632Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.6968744Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6968843Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.6968926Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.6969038Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6969128Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.6969213Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.6969323Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6969420Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.6969502Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.6969615Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6969716Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.6969792Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.6969902Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6969997Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:30.6970081Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.6970192Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.6970286Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:30.6970366Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.6970460Z              48 BUILD_TUPLE              6
2022-11-23T01:32:30.6970535Z              50 RETURN_VALUE
2022-11-23T01:32:30.6970540Z 
2022-11-23T01:32:30.6970608Z  
2022-11-23T01:32:30.6970803Z [2022-11-23 01:28:43,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.6970879Z  - 
2022-11-23T01:32:30.6971008Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.6971078Z             {
2022-11-23T01:32:30.6971225Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.6971415Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.6971540Z                 'obj_weakref': None
2022-11-23T01:32:30.6971768Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.6971837Z             }
2022-11-23T01:32:30.6971906Z             
2022-11-23T01:32:30.6971983Z  - 
2022-11-23T01:32:30.6972112Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.6972174Z             {
2022-11-23T01:32:30.6972316Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.6972491Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.6972712Z                 'obj_weakref': <weakref at 0x7f202333ab60; to 'Tensor' at 0x7f20681c5080>
2022-11-23T01:32:30.6972969Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6973040Z             }
2022-11-23T01:32:30.6973109Z             
2022-11-23T01:32:30.6973177Z  - 
2022-11-23T01:32:30.6973307Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.6973375Z             {
2022-11-23T01:32:30.6973526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.6973638Z                 'code': None,
2022-11-23T01:32:30.6973847Z                 'obj_weakref': <weakref at 0x7f202333ab60; to 'Tensor' at 0x7f20681c5080>
2022-11-23T01:32:30.6974097Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.6974158Z             }
2022-11-23T01:32:30.6974227Z             
2022-11-23T01:32:30.6974304Z  - 
2022-11-23T01:32:30.6974438Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.6974537Z             {
2022-11-23T01:32:30.6974678Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.6974856Z                 'code': ['___check_obj_id(model, 139780075792720)'],
2022-11-23T01:32:30.6974996Z                 'obj_weakref': None
2022-11-23T01:32:30.6975228Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.6975298Z             }
2022-11-23T01:32:30.6975366Z             
2022-11-23T01:32:30.6975441Z  - 
2022-11-23T01:32:30.6975567Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.6975637Z             {
2022-11-23T01:32:30.6975771Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.6975992Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.6976115Z                 'obj_weakref': None
2022-11-23T01:32:30.6976343Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.6976414Z             }
2022-11-23T01:32:30.6976485Z             
2022-11-23T01:32:30.6976561Z  - 
2022-11-23T01:32:30.6976691Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.6976763Z             {
2022-11-23T01:32:30.6976887Z                 'guard_types': None,
2022-11-23T01:32:30.6977001Z                 'code': None,
2022-11-23T01:32:30.6977121Z                 'obj_weakref': None
2022-11-23T01:32:30.6977247Z                 'guarded_class': None
2022-11-23T01:32:30.6977315Z             }
2022-11-23T01:32:30.6977376Z             
2022-11-23T01:32:30.6977450Z  - 
2022-11-23T01:32:30.6977604Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:30.6977674Z             {
2022-11-23T01:32:30.6977821Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.6978000Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:30.6978115Z                 'obj_weakref': None
2022-11-23T01:32:30.6978340Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.6978410Z             }
2022-11-23T01:32:30.6978477Z             
2022-11-23T01:32:30.6978742Z [2022-11-23 01:28:43,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313
2022-11-23T01:32:30.6979301Z [2022-11-23 01:28:45,504] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bw/cbw3r6374kdmhhvynmqfo3f7annpresu5uxhha42sm7t7azjg6un.py
2022-11-23T01:32:30.6979573Z [2022-11-23 01:28:45,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313
2022-11-23T01:32:30.6979579Z 
2022-11-23T01:32:30.6979680Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.6979754Z import torch
2022-11-23T01:32:30.6979822Z import random
2022-11-23T01:32:30.6979947Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.6980079Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.6980084Z 
2022-11-23T01:32:30.6980170Z aten = torch.ops.aten
2022-11-23T01:32:30.6980315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.6980415Z async_compile = AsyncCompile()
2022-11-23T01:32:30.6980421Z 
2022-11-23T01:32:30.6980497Z import triton
2022-11-23T01:32:30.6980583Z import triton.language as tl
2022-11-23T01:32:30.6980712Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.6980857Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.6980863Z 
2022-11-23T01:32:30.6980867Z 
2022-11-23T01:32:30.6981009Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.6981223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.6981350Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.6981460Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.6981564Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:30.6981709Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:30.6981812Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:30.6981913Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:30.6982043Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:30.6982111Z {
2022-11-23T01:32:30.6982215Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.6982281Z     {
2022-11-23T01:32:30.6982357Z         #pragma omp for 
2022-11-23T01:32:30.6982446Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:30.6982516Z         {
2022-11-23T01:32:30.6982673Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:30.6982818Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:30.6982911Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6983010Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:30.6983101Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:32:30.6983174Z         }
2022-11-23T01:32:30.6983274Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6983362Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:32:30.6983430Z         {
2022-11-23T01:32:30.6983523Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.6983629Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:30.6983712Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.6983799Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.6983885Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:30.6983953Z         }
2022-11-23T01:32:30.6984035Z         #pragma omp for 
2022-11-23T01:32:30.6984126Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:30.6984194Z         {
2022-11-23T01:32:30.6984329Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:30.6984429Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T01:32:30.6984498Z         }
2022-11-23T01:32:30.6984600Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6984699Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:30.6984767Z         {
2022-11-23T01:32:30.6984876Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:30.6984954Z             out_ptr2[i0] = tmp0;
2022-11-23T01:32:30.6985026Z         }
2022-11-23T01:32:30.6985109Z         #pragma omp for 
2022-11-23T01:32:30.6985201Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:30.6985268Z         {
2022-11-23T01:32:30.6985409Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:30.6985506Z             tmp0.store(out_ptr3 + 8*i0);
2022-11-23T01:32:30.6985566Z         }
2022-11-23T01:32:30.6985667Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:30.6985763Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:30.6985832Z         {
2022-11-23T01:32:30.6985936Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:30.6986022Z             out_ptr3[i0] = tmp0;
2022-11-23T01:32:30.6986089Z         }
2022-11-23T01:32:30.6986168Z         #pragma omp single
2022-11-23T01:32:30.6986241Z         {
2022-11-23T01:32:30.6986327Z             #pragma GCC ivdep
2022-11-23T01:32:30.6986417Z             for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.6986487Z             {
2022-11-23T01:32:30.6986558Z                 {
2022-11-23T01:32:30.6986624Z                     {
2022-11-23T01:32:30.6986738Z                         auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:30.6986835Z                         out_ptr4[i0] = tmp0;
2022-11-23T01:32:30.6986908Z                     }
2022-11-23T01:32:30.6986977Z                 }
2022-11-23T01:32:30.6987046Z             }
2022-11-23T01:32:30.6987112Z         }
2022-11-23T01:32:30.6987190Z         #pragma omp single
2022-11-23T01:32:30.6987259Z         {
2022-11-23T01:32:30.6987344Z             #pragma GCC ivdep
2022-11-23T01:32:30.6987433Z             for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:30.6987504Z             {
2022-11-23T01:32:30.6987573Z                 {
2022-11-23T01:32:30.6987689Z                     {
2022-11-23T01:32:30.6987804Z                         auto tmp0 = static_cast<float>(3.1416);
2022-11-23T01:32:30.6987900Z                         out_ptr5[i0] = tmp0;
2022-11-23T01:32:30.6987996Z                     }
2022-11-23T01:32:30.6988066Z                 }
2022-11-23T01:32:30.6988135Z             }
2022-11-23T01:32:30.6988204Z         }
2022-11-23T01:32:30.6988263Z     }
2022-11-23T01:32:30.6988327Z }
2022-11-23T01:32:30.6988420Z ''')
2022-11-23T01:32:30.6988425Z 
2022-11-23T01:32:30.6988430Z 
2022-11-23T01:32:30.6988524Z async_compile.wait(globals())
2022-11-23T01:32:30.6988604Z del async_compile
2022-11-23T01:32:30.6988609Z 
2022-11-23T01:32:30.6988685Z def call(args):
2022-11-23T01:32:30.6988759Z     arg0_1, = args
2022-11-23T01:32:30.6988835Z     args.clear()
2022-11-23T01:32:30.6989027Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6989218Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6989446Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6989664Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6989862Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6990059Z     buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6990405Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:30.6990484Z     del arg0_1
2022-11-23T01:32:30.6990586Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:30.6990591Z 
2022-11-23T01:32:30.6990605Z 
2022-11-23T01:32:30.6990680Z if __name__ == "__main__":
2022-11-23T01:32:30.6990803Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.6990941Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.6991137Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.6991252Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.6991261Z 
2022-11-23T01:32:30.6991335Z ok (1.615s)
2022-11-23T01:32:30.6991869Z   test_accuracy_issue1 (__main__.CudaReproTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.6991947Z   warnings.warn(
2022-11-23T01:32:30.6992193Z [2022-11-23 01:28:46,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:32:30.6992516Z [2022-11-23 01:28:46,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5261
2022-11-23T01:32:30.6992745Z [2022-11-23 01:28:46,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:30.6993006Z [2022-11-23 01:28:46,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:30.6993256Z [2022-11-23 01:28:46,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:30.6993542Z [2022-11-23 01:28:46,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:30.6993797Z [2022-11-23 01:28:46,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST linear [TensorVariable()]
2022-11-23T01:32:30.6994120Z [2022-11-23 01:28:46,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5262
2022-11-23T01:32:30.6994342Z [2022-11-23 01:28:46,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST linear []
2022-11-23T01:32:30.6994625Z [2022-11-23 01:28:46,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TensorVariable()]
2022-11-23T01:32:30.6994908Z [2022-11-23 01:28:46,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), split)]
2022-11-23T01:32:30.6995252Z [2022-11-23 01:28:46,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), split), ConstantVariable(int)]
2022-11-23T01:32:30.6995615Z [2022-11-23 01:28:46,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), split), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.6996017Z [2022-11-23 01:28:46,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), split), ConstantVariable(int), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.6996269Z [2022-11-23 01:28:46,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST split [TupleVariable()]
2022-11-23T01:32:30.6996592Z [2022-11-23 01:28:46,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5263
2022-11-23T01:32:30.6996815Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST split []
2022-11-23T01:32:30.6997064Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.6997356Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.6997603Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:32:30.6997919Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5264
2022-11-23T01:32:30.6998142Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:32:30.6998396Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:30.6998681Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:30.6999010Z [2022-11-23 01:28:46,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:30.6999263Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST squeeze [TensorVariable()]
2022-11-23T01:32:30.6999579Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5265
2022-11-23T01:32:30.6999821Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST start_positions []
2022-11-23T01:32:30.7006742Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:32:30.7007064Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:30.7007387Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:32:30.7007745Z [2022-11-23 01:28:46,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7007998Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST clamp [TensorVariable()]
2022-11-23T01:32:30.7008315Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5266
2022-11-23T01:32:30.7008537Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7008949Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7009357Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:30.7009770Z [2022-11-23 01:28:46,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cross_entropy [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:30.7010087Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5267
2022-11-23T01:32:30.7010396Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(<function cross_entropy at 0x7f2073d24280>)]
2022-11-23T01:32:30.7010731Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST clamp [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable()]
2022-11-23T01:32:30.7011085Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7011483Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:30.7011921Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:30.7012399Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:30.7012920Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST mean [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:30.7013474Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.0 [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(str)]
2022-11-23T01:32:30.7013787Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5266
2022-11-23T01:32:30.7014380Z [2022-11-23 01:28:46,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(<function cross_entropy at 0x7f2073d24280>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(str), ConstantVariable(float)]
2022-11-23T01:32:30.7014651Z [2022-11-23 01:28:46,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cross_entropy [TensorVariable()]
2022-11-23T01:32:30.7014965Z [2022-11-23 01:28:46,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5269
2022-11-23T01:32:30.7015198Z [2022-11-23 01:28:46,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cross_entropy []
2022-11-23T01:32:30.7015451Z [2022-11-23 01:28:46,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7015722Z [2022-11-23 01:28:46,161] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:32:30.7015973Z [2022-11-23 01:28:46,162] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7016232Z [2022-11-23 01:28:46,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7016429Z [2022-11-23 01:28:46,177] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7016573Z  __compiled_fn_322 <eval_with_key>.1981 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7016703Z placeholder, start_positions, start_positions, (), {}
2022-11-23T01:32:30.7016797Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7016914Z call_module, self_linear, self_linear, (x,), {}
2022-11-23T01:32:30.7017090Z call_method, split, split, (self_linear, 1), {'dim': -1}
2022-11-23T01:32:30.7017287Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:30.7017439Z call_method, squeeze, squeeze, (getitem, -1), {}
2022-11-23T01:32:30.7017571Z call_method, clamp, clamp, (start_positions, 0, 128), {}
2022-11-23T01:32:30.7017859Z call_function, cross_entropy, <function cross_entropy at 0x7f2073d24280>, (squeeze, clamp, None, None, 128, None, 'mean', 0.0), {}
2022-11-23T01:32:30.7017980Z output, output, output, ((cross_entropy,),), {}
2022-11-23T01:32:30.7017986Z 
2022-11-23T01:32:30.7018323Z [2022-11-23 01:28:46,178] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5260 
2022-11-23T01:32:30.7018426Z 5261           0 LOAD_FAST                0 (self)
2022-11-23T01:32:30.7018535Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:30.7018633Z                4 LOAD_FAST                2 (x)
2022-11-23T01:32:30.7018722Z                6 CALL_METHOD              1
2022-11-23T01:32:30.7019056Z                8 STORE_FAST               3 (linear)
2022-11-23T01:32:30.7019062Z 
2022-11-23T01:32:30.7019170Z 5262          10 LOAD_FAST                3 (linear)
2022-11-23T01:32:30.7019272Z               12 LOAD_ATTR                1 (split)
2022-11-23T01:32:30.7019373Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7019522Z               16 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.7019671Z               18 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:30.7019774Z               20 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.7019870Z               22 STORE_FAST               4 (split)
2022-11-23T01:32:30.7019875Z 
2022-11-23T01:32:30.7019974Z 5263          24 LOAD_FAST                4 (split)
2022-11-23T01:32:30.7020071Z               26 LOAD_CONST               4 (0)
2022-11-23T01:32:30.7020158Z               28 BINARY_SUBSCR
2022-11-23T01:32:30.7020263Z               30 STORE_FAST               5 (getitem)
2022-11-23T01:32:30.7020269Z 
2022-11-23T01:32:30.7020375Z 5264          32 LOAD_FAST                5 (getitem)
2022-11-23T01:32:30.7020481Z               34 LOAD_METHOD              2 (squeeze)
2022-11-23T01:32:30.7020619Z               36 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.7020716Z               38 CALL_METHOD              1
2022-11-23T01:32:30.7020820Z               40 STORE_FAST               6 (squeeze)
2022-11-23T01:32:30.7020827Z 
2022-11-23T01:32:30.7020943Z 5265          42 LOAD_FAST                1 (start_positions)
2022-11-23T01:32:30.7021046Z               44 LOAD_METHOD              3 (clamp)
2022-11-23T01:32:30.7021144Z               46 LOAD_CONST               4 (0)
2022-11-23T01:32:30.7021244Z               48 LOAD_CONST               5 (128)
2022-11-23T01:32:30.7021340Z               50 CALL_METHOD              2
2022-11-23T01:32:30.7021432Z               52 STORE_FAST               7 (clamp)
2022-11-23T01:32:30.7021437Z 
2022-11-23T01:32:30.7021536Z 5266          54 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:30.7021635Z               56 LOAD_ATTR                5 (nn)
2022-11-23T01:32:30.7021745Z               58 LOAD_ATTR                6 (functional)
2022-11-23T01:32:30.7021913Z               60 LOAD_METHOD              7 (cross_entropy)
2022-11-23T01:32:30.7021919Z 
2022-11-23T01:32:30.7022023Z 5267          62 LOAD_FAST                6 (squeeze)
2022-11-23T01:32:30.7022151Z               64 LOAD_FAST                7 (clamp)
2022-11-23T01:32:30.7022249Z               66 LOAD_CONST               0 (None)
2022-11-23T01:32:30.7022340Z               68 LOAD_CONST               0 (None)
2022-11-23T01:32:30.7022439Z               70 LOAD_CONST               5 (128)
2022-11-23T01:32:30.7022539Z               72 LOAD_CONST               0 (None)
2022-11-23T01:32:30.7022686Z               74 LOAD_CONST               6 ('mean')
2022-11-23T01:32:30.7022784Z               76 LOAD_CONST               7 (0.0)
2022-11-23T01:32:30.7022789Z 
2022-11-23T01:32:30.7022886Z 5266          78 CALL_METHOD              8
2022-11-23T01:32:30.7023001Z               80 STORE_FAST               8 (cross_entropy)
2022-11-23T01:32:30.7023007Z 
2022-11-23T01:32:30.7023122Z 5269          82 LOAD_FAST                8 (cross_entropy)
2022-11-23T01:32:30.7023199Z               84 RETURN_VALUE
2022-11-23T01:32:30.7023205Z 
2022-11-23T01:32:30.7023272Z  
2022-11-23T01:32:30.7023609Z [2022-11-23 01:28:46,178] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5260 
2022-11-23T01:32:30.7023730Z 5260           0 LOAD_GLOBAL              8 (__compiled_fn_322)
2022-11-23T01:32:30.7023844Z                2 LOAD_FAST                1 (start_positions)
2022-11-23T01:32:30.7023942Z                4 LOAD_FAST                2 (x)
2022-11-23T01:32:30.7024040Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.7024141Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7024217Z               10 RETURN_VALUE
2022-11-23T01:32:30.7024222Z 
2022-11-23T01:32:30.7024288Z  
2022-11-23T01:32:30.7024481Z [2022-11-23 01:28:46,178] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7024561Z  - 
2022-11-23T01:32:30.7024694Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7024766Z             {
2022-11-23T01:32:30.7024920Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7025031Z                 'code': None,
2022-11-23T01:32:30.7025247Z                 'obj_weakref': <weakref at 0x7f20607944a0; to 'Tensor' at 0x7f2023143e70>
2022-11-23T01:32:30.7025504Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7025575Z             }
2022-11-23T01:32:30.7025646Z             
2022-11-23T01:32:30.7025723Z  - 
2022-11-23T01:32:30.7025849Z             local 'self' NN_MODULE
2022-11-23T01:32:30.7025911Z             {
2022-11-23T01:32:30.7026056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7026232Z                 'code': ['___check_obj_id(self, 139775922328752)'],
2022-11-23T01:32:30.7026452Z                 'obj_weakref': <weakref at 0x7f201e37aed0; to 'Repro' at 0x7f201e32d4b0>
2022-11-23T01:32:30.7026681Z                 'guarded_class': <weakref at 0x7f2023255620; to 'type' at 0x5631303a7b30 (Repro)>
2022-11-23T01:32:30.7026751Z             }
2022-11-23T01:32:30.7026821Z             
2022-11-23T01:32:30.7026893Z  - 
2022-11-23T01:32:30.7027048Z             local 'start_positions' TENSOR_MATCH
2022-11-23T01:32:30.7027119Z             {
2022-11-23T01:32:30.7027268Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7027382Z                 'code': None,
2022-11-23T01:32:30.7027593Z                 'obj_weakref': <weakref at 0x7f20607953f0; to 'Tensor' at 0x7f2023389940>
2022-11-23T01:32:30.7027849Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7027911Z             }
2022-11-23T01:32:30.7027982Z             
2022-11-23T01:32:30.7028060Z  - 
2022-11-23T01:32:30.7028200Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7028272Z             {
2022-11-23T01:32:30.7028435Z                 'guard_types': None,
2022-11-23T01:32:30.7028550Z                 'code': None,
2022-11-23T01:32:30.7028668Z                 'obj_weakref': None
2022-11-23T01:32:30.7028797Z                 'guarded_class': None
2022-11-23T01:32:30.7028893Z             }
2022-11-23T01:32:30.7028964Z             
2022-11-23T01:32:30.7029041Z  - 
2022-11-23T01:32:30.7029201Z             local_nn_module 'self.linear' NN_MODULE
2022-11-23T01:32:30.7029271Z             {
2022-11-23T01:32:30.7029390Z                 'guard_types': None,
2022-11-23T01:32:30.7029503Z                 'code': None,
2022-11-23T01:32:30.7029628Z                 'obj_weakref': None
2022-11-23T01:32:30.7029757Z                 'guarded_class': None
2022-11-23T01:32:30.7029828Z             }
2022-11-23T01:32:30.7029898Z             
2022-11-23T01:32:30.7030158Z [2022-11-23 01:28:46,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314
2022-11-23T01:32:30.7031024Z [2022-11-23 01:28:46,305] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:30.7031244Z [2022-11-23 01:28:46,308] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:30.7031457Z [2022-11-23 01:28:46,308] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:30.7031795Z [2022-11-23 01:28:46,309] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6')]
2022-11-23T01:32:30.7032160Z [2022-11-23 01:28:46,742] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebltot47y7c74y7uclrxn5apb3374kmma6ii5iulz4qafxekk5k.py
2022-11-23T01:32:30.7032433Z [2022-11-23 01:28:46,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314
2022-11-23T01:32:30.7032696Z [2022-11-23 01:28:46,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 314
2022-11-23T01:32:30.7032953Z [2022-11-23 01:28:46,885] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7033199Z [2022-11-23 01:28:46,886] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7033708Z [2022-11-23 01:28:46,887] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:30.7033919Z [2022-11-23 01:28:46,890] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:30.7034159Z [2022-11-23 01:28:46,891] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:30.7034405Z [2022-11-23 01:28:46,893] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf8')]
2022-11-23T01:32:30.7034411Z 
2022-11-23T01:32:30.7034515Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7034596Z import torch
2022-11-23T01:32:30.7034672Z import random
2022-11-23T01:32:30.7034800Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7034929Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7034935Z 
2022-11-23T01:32:30.7035019Z aten = torch.ops.aten
2022-11-23T01:32:30.7035154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7035256Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7035261Z 
2022-11-23T01:32:30.7035338Z import triton
2022-11-23T01:32:30.7035438Z import triton.language as tl
2022-11-23T01:32:30.7035568Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7035714Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7035720Z 
2022-11-23T01:32:30.7035759Z 
2022-11-23T01:32:30.7036005Z triton_fused_amax_log_sum_1_split_permute_view_1_exp_squeeze_view_sub0 = async_compile.triton('''
2022-11-23T01:32:30.7036083Z import triton
2022-11-23T01:32:30.7036196Z import triton.language as tl
2022-11-23T01:32:30.7036314Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7036423Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7036562Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7036692Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7036698Z 
2022-11-23T01:32:30.7036790Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:30.7036910Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.7036991Z               filename=__file__,
2022-11-23T01:32:30.7037322Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:30.7037405Z @triton.jit
2022-11-23T01:32:30.7037581Z def kernel(in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7037659Z     xnumel = 1
2022-11-23T01:32:30.7037741Z     rnumel = 128
2022-11-23T01:32:30.7037841Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7037978Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7038065Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7038191Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7038384Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.7038493Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7038586Z         rindex = roffset + rbase
2022-11-23T01:32:30.7038674Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7038750Z         r0 = rindex
2022-11-23T01:32:30.7038947Z         tmp0 = tl.load(in_ptr0 + (2*r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7039083Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.7039202Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7039323Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:30.7039436Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7039527Z         rindex = roffset + rbase
2022-11-23T01:32:30.7039615Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7039681Z         r0 = rindex
2022-11-23T01:32:30.7039887Z         tmp2 = tl.load(in_ptr0 + (2*r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7040005Z         tmp3 = tmp2 - tmp1
2022-11-23T01:32:30.7040090Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:30.7040217Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:30.7040334Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7040444Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7040527Z         rindex = roffset + rbase
2022-11-23T01:32:30.7040622Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7040697Z         r0 = rindex
2022-11-23T01:32:30.7040902Z         tmp6 = tl.load(in_ptr0 + (2*r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7041021Z         tmp7 = tmp6 - tmp1
2022-11-23T01:32:30.7041104Z         tmp8 = tl.log(tmp5)
2022-11-23T01:32:30.7041219Z         tmp9 = tmp7 - tmp8
2022-11-23T01:32:30.7041368Z         tl.store(out_ptr2 + (r0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp9, xmask & rmask)
2022-11-23T01:32:30.7041456Z ''')
2022-11-23T01:32:30.7041462Z 
2022-11-23T01:32:30.7041467Z 
2022-11-23T01:32:30.7041720Z triton_fused_sum_1_split_ne_permute_view_1_gather_unsqueeze_exp_view_sub1 = async_compile.triton('''
2022-11-23T01:32:30.7041798Z import triton
2022-11-23T01:32:30.7041895Z import triton.language as tl
2022-11-23T01:32:30.7042016Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7042125Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7042304Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7042430Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7042435Z 
2022-11-23T01:32:30.7042844Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*i1', 3: '*fp32', 4: '*i64', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.7042944Z @triton.jit
2022-11-23T01:32:30.7043111Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7043188Z     xnumel = 1
2022-11-23T01:32:30.7043290Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7043425Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7043510Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7043640Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:30.7043714Z     tmp1 = 0
2022-11-23T01:32:30.7043811Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:30.7043886Z     tmp3 = 128
2022-11-23T01:32:30.7043979Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:30.7044062Z     tmp5 = tmp4 != tmp3
2022-11-23T01:32:30.7044210Z     tmp6 = tl.load(in_ptr1 + (tmp4 + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.7044307Z     tmp7 = -tmp6
2022-11-23T01:32:30.7044404Z     tmp8 = tl.where(tmp5, tmp7, tmp1)
2022-11-23T01:32:30.7044494Z     tmp9 = tmp5.to(tl.int64)
2022-11-23T01:32:30.7044586Z     tmp10 = tmp9.to(tl.float32)
2022-11-23T01:32:30.7044668Z     tmp11 = tmp8 / tmp10
2022-11-23T01:32:30.7044811Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp5, None)
2022-11-23T01:32:30.7044952Z     tl.store(out_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp11, None)
2022-11-23T01:32:30.7045081Z     tl.store(out_ptr2 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp4, None)
2022-11-23T01:32:30.7045169Z ''')
2022-11-23T01:32:30.7045175Z 
2022-11-23T01:32:30.7045179Z 
2022-11-23T01:32:30.7045279Z async_compile.wait(globals())
2022-11-23T01:32:30.7045360Z del async_compile
2022-11-23T01:32:30.7045365Z 
2022-11-23T01:32:30.7045442Z def call(args):
2022-11-23T01:32:30.7045566Z     primals_1, primals_2, primals_3, primals_4 = args
2022-11-23T01:32:30.7045648Z     args.clear()
2022-11-23T01:32:30.7045846Z     buf0 = empty_strided((128, 2), (2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7046047Z     aten.addmm.out(primals_2, as_strided(primals_4, (128, 768), (768, 1)), as_strided(primals_1, (768, 2), (1, 768)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:30.7046127Z     del primals_2
2022-11-23T01:32:30.7046330Z     buf3 = empty_strided((1, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7046424Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7046617Z     triton_fused_amax_log_sum_1_split_permute_view_1_exp_squeeze_view_sub0.run(buf0, buf3, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7046692Z     del buf0
2022-11-23T01:32:30.7046886Z     buf4 = empty_strided((1, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7047066Z     buf5 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7047261Z     buf6 = empty_strided((1, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7047479Z     triton_fused_sum_1_split_ne_permute_view_1_gather_unsqueeze_exp_view_sub1.run(primals_3, buf3, buf4, buf5, buf6, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7047558Z     del primals_3
2022-11-23T01:32:30.7047749Z     return (buf5, as_strided(primals_4, (128, 768), (768, 1)), buf3, as_strided(buf6, (1, 1), (0, 0)), buf4, as_strided(primals_1, (2, 768), (768, 1)), )
2022-11-23T01:32:30.7047755Z 
2022-11-23T01:32:30.7047759Z 
2022-11-23T01:32:30.7047842Z if __name__ == "__main__":
2022-11-23T01:32:30.7047965Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7048095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7048332Z     primals_1 = rand_strided((2, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7048529Z     primals_2 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7048729Z     primals_3 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7048975Z     primals_4 = rand_strided((1, 128, 768), (98304, 768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7049134Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4]))
2022-11-23T01:32:30.7049140Z 
2022-11-23T01:32:30.7049144Z 
2022-11-23T01:32:30.7049247Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7049323Z import torch
2022-11-23T01:32:30.7049399Z import random
2022-11-23T01:32:30.7049522Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7049643Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7049648Z 
2022-11-23T01:32:30.7049731Z aten = torch.ops.aten
2022-11-23T01:32:30.7049874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7049976Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7049981Z 
2022-11-23T01:32:30.7050061Z import triton
2022-11-23T01:32:30.7050161Z import triton.language as tl
2022-11-23T01:32:30.7050292Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7050429Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7050442Z 
2022-11-23T01:32:30.7050447Z 
2022-11-23T01:32:30.7050623Z triton_fused_zeros_like_scatter0 = async_compile.triton('''
2022-11-23T01:32:30.7050697Z import triton
2022-11-23T01:32:30.7050793Z import triton.language as tl
2022-11-23T01:32:30.7050912Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7051018Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7051156Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7051286Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7051291Z 
2022-11-23T01:32:30.7051655Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7051723Z @triton.jit
2022-11-23T01:32:30.7051852Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7051930Z     xnumel = 128
2022-11-23T01:32:30.7052032Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7052165Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7052251Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7052325Z     x0 = xindex
2022-11-23T01:32:30.7052390Z     tmp0 = 0
2022-11-23T01:32:30.7052532Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.7052621Z ''')
2022-11-23T01:32:30.7052626Z 
2022-11-23T01:32:30.7052631Z 
2022-11-23T01:32:30.7052818Z triton_fused_zeros_like_scatter1 = async_compile.triton('''
2022-11-23T01:32:30.7052896Z import triton
2022-11-23T01:32:30.7052992Z import triton.language as tl
2022-11-23T01:32:30.7053112Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7053209Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7053347Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7053479Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7053484Z 
2022-11-23T01:32:30.7053853Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7053929Z @triton.jit
2022-11-23T01:32:30.7054065Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7054141Z     xnumel = 1
2022-11-23T01:32:30.7054241Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7054367Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7054452Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7054618Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:30.7054722Z     tmp1 = -1.0
2022-11-23T01:32:30.7054866Z     tl.store(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.7055006Z ''')
2022-11-23T01:32:30.7055011Z 
2022-11-23T01:32:30.7055016Z 
2022-11-23T01:32:30.7055283Z triton_fused_div_1_sum_2_sum_4__to_copy_scalar_tensor_cat_zeros_like_scatter_ne_2_mul2 = async_compile.triton('''
2022-11-23T01:32:30.7055362Z import triton
2022-11-23T01:32:30.7055450Z import triton.language as tl
2022-11-23T01:32:30.7055567Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7055673Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7055808Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7055940Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7055946Z 
2022-11-23T01:32:30.7056037Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:30.7056160Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.7056242Z               filename=__file__,
2022-11-23T01:32:30.7056637Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*fp32', 3: '*i1', 4: '*fp32', 5: '*fp32', 6: 'i32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 7), equal_to_1=())]})
2022-11-23T01:32:30.7056719Z @triton.jit
2022-11-23T01:32:30.7056924Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7057004Z     xnumel = 1
2022-11-23T01:32:30.7057080Z     rnumel = 128
2022-11-23T01:32:30.7057183Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7057325Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7057404Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7057527Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7057677Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None)
2022-11-23T01:32:30.7057822Z     tmp4 = tl.load(in_ptr2 + (0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None)
2022-11-23T01:32:30.7057966Z     tmp5 = tl.load(in_ptr3 + (0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None)
2022-11-23T01:32:30.7058092Z     _tmp12 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:30.7058202Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7058294Z         rindex = roffset + rbase
2022-11-23T01:32:30.7058374Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7058450Z         r0 = rindex
2022-11-23T01:32:30.7058652Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7058730Z         tmp2 = 128
2022-11-23T01:32:30.7059003Z         tmp3 = tmp1 != tmp2
2022-11-23T01:32:30.7059096Z         tmp6 = tmp5.to(tl.int64)
2022-11-23T01:32:30.7059192Z         tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:30.7059269Z         tmp8 = tmp4 / tmp7
2022-11-23T01:32:30.7059343Z         tmp9 = 0
2022-11-23T01:32:30.7059448Z         tmp10 = tl.where(tmp3, tmp8, tmp9)
2022-11-23T01:32:30.7059534Z         tmp11 = tmp0 * tmp10
2022-11-23T01:32:30.7059660Z         _tmp12 = tl.where(xmask & rmask, _tmp12 + tmp11, _tmp12)
2022-11-23T01:32:30.7059782Z     tmp12 = tl.reshape(tl.sum(_tmp12, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7059888Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7059971Z         rindex = roffset + rbase
2022-11-23T01:32:30.7060056Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7060131Z         r0 = rindex
2022-11-23T01:32:30.7060333Z         tmp13 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7060530Z         tmp22 = tl.load(in_ptr4 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7060609Z         tmp14 = 128
2022-11-23T01:32:30.7060695Z         tmp15 = tmp1 != tmp14
2022-11-23T01:32:30.7060778Z         tmp16 = tmp5.to(tl.int64)
2022-11-23T01:32:30.7060874Z         tmp17 = tmp16.to(tl.float32)
2022-11-23T01:32:30.7061012Z         tmp18 = tmp4 / tmp17
2022-11-23T01:32:30.7061089Z         tmp19 = 0
2022-11-23T01:32:30.7061196Z         tmp20 = tl.where(tmp15, tmp18, tmp19)
2022-11-23T01:32:30.7061281Z         tmp21 = tmp13 * tmp20
2022-11-23T01:32:30.7061386Z         tmp23 = tl.exp(tmp22)
2022-11-23T01:32:30.7061470Z         tmp24 = tmp23 * tmp12
2022-11-23T01:32:30.7061588Z         tmp25 = tmp21 - tmp24
2022-11-23T01:32:30.7061747Z         tl.store(out_ptr1 + (2*r0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp25, xmask & rmask)
2022-11-23T01:32:30.7061835Z ''')
2022-11-23T01:32:30.7061841Z 
2022-11-23T01:32:30.7061845Z 
2022-11-23T01:32:30.7062007Z triton_fused_zeros3 = async_compile.triton('''
2022-11-23T01:32:30.7062086Z import triton
2022-11-23T01:32:30.7062197Z import triton.language as tl
2022-11-23T01:32:30.7062319Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7062451Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7062586Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7062717Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7062723Z 
2022-11-23T01:32:30.7063082Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(1,), equal_to_1=())]})
2022-11-23T01:32:30.7063164Z @triton.jit
2022-11-23T01:32:30.7063291Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7063370Z     xnumel = 128
2022-11-23T01:32:30.7063462Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7063597Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7063684Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7063762Z     x0 = xindex
2022-11-23T01:32:30.7063834Z     tmp0 = 0
2022-11-23T01:32:30.7063974Z     tl.store(out_ptr0 + (2*x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.7064062Z ''')
2022-11-23T01:32:30.7064067Z 
2022-11-23T01:32:30.7064071Z 
2022-11-23T01:32:30.7064246Z triton_fused_view_2_sum_5_cat4 = async_compile.triton('''
2022-11-23T01:32:30.7064323Z import triton
2022-11-23T01:32:30.7064416Z import triton.language as tl
2022-11-23T01:32:30.7064537Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7064646Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7064780Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7064910Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7064915Z 
2022-11-23T01:32:30.7065008Z @reduction(size_hints=[2, 128],
2022-11-23T01:32:30.7065119Z               reduction_hint=ReductionHint.OUTER,
2022-11-23T01:32:30.7065211Z               filename=__file__,
2022-11-23T01:32:30.7065541Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:30.7065620Z @triton.jit
2022-11-23T01:32:30.7065795Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7065872Z     xnumel = 2
2022-11-23T01:32:30.7065948Z     rnumel = 128
2022-11-23T01:32:30.7066040Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7066183Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7066271Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7066392Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7066468Z     x0 = xindex
2022-11-23T01:32:30.7066587Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:30.7066694Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7066779Z         rindex = roffset + rbase
2022-11-23T01:32:30.7066866Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7066937Z         r1 = rindex
2022-11-23T01:32:30.7067159Z         tmp0 = tl.load(in_ptr0 + (x0 + (2*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7067285Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:30.7067435Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7067538Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:30.7067618Z ''')
2022-11-23T01:32:30.7067645Z 
2022-11-23T01:32:30.7067661Z 
2022-11-23T01:32:30.7067749Z async_compile.wait(globals())
2022-11-23T01:32:30.7067828Z del async_compile
2022-11-23T01:32:30.7067833Z 
2022-11-23T01:32:30.7067912Z def call(args):
2022-11-23T01:32:30.7068044Z     view, sub_1, unsqueeze, ne, permute_1, tangents_1 = args
2022-11-23T01:32:30.7068122Z     args.clear()
2022-11-23T01:32:30.7068330Z     buf0 = empty_strided((1, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7068423Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7068567Z     triton_fused_zeros_like_scatter0.run(buf0, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.7068731Z     triton_fused_zeros_like_scatter1.run(unsqueeze, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7068946Z     buf5 = empty_strided((1, 128, 2), (256, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7069061Z     buf3 = as_strided(buf5, (1, 128, 1), (256, 2, 1))  # alias
2022-11-23T01:32:30.7069296Z     triton_fused_div_1_sum_2_sum_4__to_copy_scalar_tensor_cat_zeros_like_scatter_ne_2_mul2.run(buf0, unsqueeze, tangents_1, ne, sub_1, buf3, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7069373Z     del buf0
2022-11-23T01:32:30.7069443Z     del ne
2022-11-23T01:32:30.7069516Z     del sub_1
2022-11-23T01:32:30.7069586Z     del tangents_1
2022-11-23T01:32:30.7069665Z     del unsqueeze
2022-11-23T01:32:30.7069781Z     buf4 = as_strided(buf5, (1, 128, 1), (256, 2, 1), 1)  # alias
2022-11-23T01:32:30.7069917Z     triton_fused_zeros3.run(buf4, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.7069987Z     del buf3
2022-11-23T01:32:30.7070059Z     del buf4
2022-11-23T01:32:30.7070327Z     buf6 = empty_strided((128, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7070479Z     aten.mm.out(as_strided(buf5, (128, 2), (2, 1)), permute_1, out=buf6)
2022-11-23T01:32:30.7070557Z     del permute_1
2022-11-23T01:32:30.7070759Z     buf7 = empty_strided((2, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7070891Z     aten.mm.out(as_strided(buf5, (2, 128), (1, 2)), view, out=buf7)
2022-11-23T01:32:30.7070964Z     del view
2022-11-23T01:32:30.7071161Z     buf8 = empty_strided((1, 2), (2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7071312Z     triton_fused_view_2_sum_5_cat4.run(buf5, buf8, 2, 128, grid=grid(2), stream=stream0)
2022-11-23T01:32:30.7071478Z     return (as_strided(buf7, (2, 768), (768, 1)), as_strided(buf8, (2, ), (1, )), None, as_strided(buf6, (1, 128, 768), (98304, 768, 1)), )
2022-11-23T01:32:30.7071493Z 
2022-11-23T01:32:30.7071498Z 
2022-11-23T01:32:30.7071573Z if __name__ == "__main__":
2022-11-23T01:32:30.7071694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7071825Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7072035Z     view = rand_strided((128, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7072234Z     sub_1 = rand_strided((1, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7072441Z     unsqueeze = rand_strided((1, 1), (0, 0), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7072628Z     ne = rand_strided((1, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7072840Z     permute_1 = rand_strided((2, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7073029Z     tangents_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7073195Z     print_performance(lambda: call([view, sub_1, unsqueeze, ne, permute_1, tangents_1]))
2022-11-23T01:32:30.7073569Z [2022-11-23 01:28:47,109] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ec/cecup7cot5k6bptvl2dyzvfdzk4eqbm3tf3gutsb44knlq2fvi7d.py
2022-11-23T01:32:30.7073874Z [2022-11-23 01:28:47,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 314
2022-11-23T01:32:30.7073881Z 
2022-11-23T01:32:30.7073956Z ok (1.714s)
2022-11-23T01:32:30.7074088Z   test_autotune_inplace_kernel (__main__.CudaReproTests)
2022-11-23T01:32:30.7074288Z This UT tests autotune on an inplace kernel. The autotune should not contaminate ... ok (4.600s)
2022-11-23T01:32:30.7074634Z   test_dtype_factory_issue (__main__.CudaReproTests) ... [2022-11-23 01:28:51,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:30.7074856Z [2022-11-23 01:28:51,828] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.randn
2022-11-23T01:32:30.7075212Z [2022-11-23 01:28:51,831] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c354mbm5zjcebcmc7zbdfsdumyiajeamjwayuopx4kb2wtqzhxma.py
2022-11-23T01:32:30.7075478Z [2022-11-23 01:28:51,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:30.7075487Z 
2022-11-23T01:32:30.7075589Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7075666Z import torch
2022-11-23T01:32:30.7075742Z import random
2022-11-23T01:32:30.7075866Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7075997Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7076002Z 
2022-11-23T01:32:30.7076086Z aten = torch.ops.aten
2022-11-23T01:32:30.7076221Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7076318Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7076324Z 
2022-11-23T01:32:30.7076401Z import triton
2022-11-23T01:32:30.7076496Z import triton.language as tl
2022-11-23T01:32:30.7076624Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7076769Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7076774Z 
2022-11-23T01:32:30.7076779Z 
2022-11-23T01:32:30.7076875Z async_compile.wait(globals())
2022-11-23T01:32:30.7076952Z del async_compile
2022-11-23T01:32:30.7076960Z 
2022-11-23T01:32:30.7077029Z def call(args):
2022-11-23T01:32:30.7077292Z     buf0 = aten.randn([12, 64, 1, 64], dtype=torch.float32, device=device(type='cuda', index=0), pin_memory=False)
2022-11-23T01:32:30.7077373Z     buf1 = buf0
2022-11-23T01:32:30.7077491Z     assert_size_stride(buf1, (12, 64, 1, 64), (4096, 64, 64, 1))
2022-11-23T01:32:30.7077563Z     del buf0
2022-11-23T01:32:30.7077682Z     return (as_strided(buf1, (12, 64, 1, 64, 1), (4096, 64, 64, 1, 1)), )
2022-11-23T01:32:30.7077688Z 
2022-11-23T01:32:30.7077693Z 
2022-11-23T01:32:30.7077775Z if __name__ == "__main__":
2022-11-23T01:32:30.7077895Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7078017Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7078122Z     print_performance(lambda: call([]))
2022-11-23T01:32:30.7078127Z 
2022-11-23T01:32:30.7078199Z ok (0.010s)
2022-11-23T01:32:30.7078522Z   test_dynamic_shapes (__main__.CudaReproTests) ... [2022-11-23 01:28:51,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing f
2022-11-23T01:32:30.7078841Z [2022-11-23 01:28:51,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5187
2022-11-23T01:32:30.7079059Z [2022-11-23 01:28:51,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7079303Z [2022-11-23 01:28:51,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable()]
2022-11-23T01:32:30.7079586Z [2022-11-23 01:28:51,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cos)]
2022-11-23T01:32:30.7079830Z [2022-11-23 01:28:51,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.7080095Z [2022-11-23 01:28:51,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.7080434Z [2022-11-23 01:28:51,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [GetAttrVariable(TensorVariable(), view), TensorVariable()]
2022-11-23T01:32:30.7080742Z [2022-11-23 01:28:51,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), SizeVariable()]
2022-11-23T01:32:30.7081009Z [2022-11-23 01:28:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable()]
2022-11-23T01:32:30.7081286Z [2022-11-23 01:28:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sin)]
2022-11-23T01:32:30.7081538Z [2022-11-23 01:28:51,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7081775Z [2022-11-23 01:28:51,846] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing f
2022-11-23T01:32:30.7082027Z [2022-11-23 01:28:51,847] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function debug_wrapper
2022-11-23T01:32:30.7082496Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.7082582Z   warnings.warn(
2022-11-23T01:32:30.7082822Z [2022-11-23 01:28:51,850] torch._dynamo.output_graph: [INFO] Step 3: done compiler function debug_wrapper
2022-11-23T01:32:30.7083016Z [2022-11-23 01:28:51,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7083167Z  __compiled_fn_323 <eval_with_key>.1993 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7083257Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7083353Z call_method, cos, cos, (x,), {}
2022-11-23T01:32:30.7083449Z call_method, size, size, (x,), {}
2022-11-23T01:32:30.7083552Z call_method, view, view, (cos, size), {}
2022-11-23T01:32:30.7083641Z call_method, sin, sin, (view,), {}
2022-11-23T01:32:30.7083745Z output, output, output, ((sin,),), {}
2022-11-23T01:32:30.7083751Z 
2022-11-23T01:32:30.7084078Z [2022-11-23 01:28:51,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE f /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5186 
2022-11-23T01:32:30.7084180Z 5187           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7084282Z                2 LOAD_METHOD              0 (cos)
2022-11-23T01:32:30.7084380Z                4 CALL_METHOD              0
2022-11-23T01:32:30.7084483Z                6 LOAD_METHOD              1 (view)
2022-11-23T01:32:30.7084586Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7084679Z               10 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.7084773Z               12 CALL_METHOD              1
2022-11-23T01:32:30.7084872Z               14 LOAD_METHOD              3 (sin)
2022-11-23T01:32:30.7084966Z               16 CALL_METHOD              0
2022-11-23T01:32:30.7085052Z               18 RETURN_VALUE
2022-11-23T01:32:30.7085057Z 
2022-11-23T01:32:30.7085124Z  
2022-11-23T01:32:30.7085453Z [2022-11-23 01:28:51,850] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE f /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5186 
2022-11-23T01:32:30.7085564Z 5186           0 LOAD_GLOBAL              4 (__compiled_fn_323)
2022-11-23T01:32:30.7085664Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7085762Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7085862Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7085945Z                8 RETURN_VALUE
2022-11-23T01:32:30.7085950Z 
2022-11-23T01:32:30.7086017Z  
2022-11-23T01:32:30.7086207Z [2022-11-23 01:28:51,851] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7086286Z  - 
2022-11-23T01:32:30.7086446Z              'symbolic_shape_expression' SYMBOL_MATCH
2022-11-23T01:32:30.7086516Z             {
2022-11-23T01:32:30.7086644Z                 'guard_types': None,
2022-11-23T01:32:30.7086762Z                 'code': (True),
2022-11-23T01:32:30.7086929Z                 'obj_weakref': None
2022-11-23T01:32:30.7087059Z                 'guarded_class': None
2022-11-23T01:32:30.7087130Z             }
2022-11-23T01:32:30.7087193Z             
2022-11-23T01:32:30.7087274Z  - 
2022-11-23T01:32:30.7087424Z             local 'x' TYPE_MATCH
2022-11-23T01:32:30.7087494Z             {
2022-11-23T01:32:30.7087641Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.7087812Z                 'code': ['___check_type_id(x, 94768375983968)'],
2022-11-23T01:32:30.7088020Z                 'obj_weakref': <weakref at 0x7f20232bf560; to 'Tensor' at 0x7f20606e5c60>
2022-11-23T01:32:30.7088273Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7088343Z             }
2022-11-23T01:32:30.7088412Z             
2022-11-23T01:32:30.7088490Z  - 
2022-11-23T01:32:30.7088617Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7088688Z             {
2022-11-23T01:32:30.7088833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7088948Z                 'code': None,
2022-11-23T01:32:30.7089160Z                 'obj_weakref': <weakref at 0x7f20232bf560; to 'Tensor' at 0x7f20606e5c60>
2022-11-23T01:32:30.7089418Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7089490Z             }
2022-11-23T01:32:30.7089558Z             
2022-11-23T01:32:30.7089823Z [2022-11-23 01:28:51,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315
2022-11-23T01:32:30.7090196Z [2022-11-23 01:28:53,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxjrqtx6wvlessngrzy45rowl2zxz4ayqobjtvdmuveqlispmyg.py
2022-11-23T01:32:30.7090459Z [2022-11-23 01:28:53,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315
2022-11-23T01:32:30.7090476Z 
2022-11-23T01:32:30.7090570Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7090649Z import torch
2022-11-23T01:32:30.7090725Z import random
2022-11-23T01:32:30.7090852Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7090981Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7090990Z 
2022-11-23T01:32:30.7091077Z aten = torch.ops.aten
2022-11-23T01:32:30.7091222Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7091313Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7091318Z 
2022-11-23T01:32:30.7091395Z import triton
2022-11-23T01:32:30.7091490Z import triton.language as tl
2022-11-23T01:32:30.7091618Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7091764Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7091770Z 
2022-11-23T01:32:30.7091775Z 
2022-11-23T01:32:30.7091916Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.7092130Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.7092262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:30.7092363Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:30.7092455Z                        const long ks0)
2022-11-23T01:32:30.7092524Z {
2022-11-23T01:32:30.7092627Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:30.7092694Z     {
2022-11-23T01:32:30.7092783Z         #pragma omp for 
2022-11-23T01:32:30.7092873Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:30.7092935Z         {
2022-11-23T01:32:30.7093005Z             {
2022-11-23T01:32:30.7093080Z                 {
2022-11-23T01:32:30.7093183Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:30.7093306Z                     auto tmp1 = std::cos(tmp0);
2022-11-23T01:32:30.7093412Z                     auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:30.7093506Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:30.7093569Z                 }
2022-11-23T01:32:30.7093639Z             }
2022-11-23T01:32:30.7093748Z         }
2022-11-23T01:32:30.7093816Z     }
2022-11-23T01:32:30.7093883Z }
2022-11-23T01:32:30.7093970Z ''')
2022-11-23T01:32:30.7093976Z 
2022-11-23T01:32:30.7093980Z 
2022-11-23T01:32:30.7094075Z async_compile.wait(globals())
2022-11-23T01:32:30.7094171Z del async_compile
2022-11-23T01:32:30.7094176Z 
2022-11-23T01:32:30.7094253Z def call(args):
2022-11-23T01:32:30.7094328Z     arg0_1, = args
2022-11-23T01:32:30.7094405Z     args.clear()
2022-11-23T01:32:30.7094494Z     arg0_1_size = arg0_1.size()
2022-11-23T01:32:30.7094574Z     s0 = arg0_1_size[0]
2022-11-23T01:32:30.7094776Z     buf0 = empty_strided((s0, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.7094923Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_long(s0))
2022-11-23T01:32:30.7094996Z     del arg0_1
2022-11-23T01:32:30.7095077Z     return (buf0, )
2022-11-23T01:32:30.7095082Z 
2022-11-23T01:32:30.7095087Z 
2022-11-23T01:32:30.7095170Z if __name__ == "__main__":
2022-11-23T01:32:30.7095295Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7095428Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7095627Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.7095746Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7095751Z 
2022-11-23T01:32:30.7095816Z ok (1.575s)
2022-11-23T01:32:30.7096157Z   test_expanded_inputs_cudagraphs (__main__.CudaReproTests) ... [2022-11-23 01:28:53,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.7096472Z [2022-11-23 01:28:53,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5171
2022-11-23T01:32:30.7096688Z [2022-11-23 01:28:53,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7096931Z [2022-11-23 01:28:53,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.7097213Z [2022-11-23 01:28:53,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7097466Z [2022-11-23 01:28:53,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7097704Z [2022-11-23 01:28:53,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.7097955Z [2022-11-23 01:28:53,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7098189Z [2022-11-23 01:28:53,427] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7098384Z [2022-11-23 01:28:53,427] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7098531Z  __compiled_fn_324 <eval_with_key>.1999 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7098619Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7098706Z placeholder, y, y, (), {}
2022-11-23T01:32:30.7099080Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.7099183Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7099189Z 
2022-11-23T01:32:30.7099517Z [2022-11-23 01:28:53,427] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5169 
2022-11-23T01:32:30.7099613Z 5171           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7099713Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7099794Z                4 BINARY_ADD
2022-11-23T01:32:30.7099875Z                6 RETURN_VALUE
2022-11-23T01:32:30.7099881Z 
2022-11-23T01:32:30.7099947Z  
2022-11-23T01:32:30.7100272Z [2022-11-23 01:28:53,427] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5169 
2022-11-23T01:32:30.7100390Z 5169           0 LOAD_GLOBAL              0 (__compiled_fn_324)
2022-11-23T01:32:30.7100489Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7100628Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7100728Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.7100829Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7100940Z               10 RETURN_VALUE
2022-11-23T01:32:30.7100946Z 
2022-11-23T01:32:30.7101015Z  
2022-11-23T01:32:30.7101206Z [2022-11-23 01:28:53,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7101286Z  - 
2022-11-23T01:32:30.7101403Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7101477Z             {
2022-11-23T01:32:30.7101629Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7101743Z                 'code': None,
2022-11-23T01:32:30.7101959Z                 'obj_weakref': <weakref at 0x7f2115989b70; to 'Tensor' at 0x7f201e20e480>
2022-11-23T01:32:30.7102214Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7102288Z             }
2022-11-23T01:32:30.7102353Z             
2022-11-23T01:32:30.7102430Z  - 
2022-11-23T01:32:30.7102560Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.7102629Z             {
2022-11-23T01:32:30.7102777Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7102895Z                 'code': None,
2022-11-23T01:32:30.7103102Z                 'obj_weakref': <weakref at 0x7f20232a5350; to 'Tensor' at 0x7f2072845d50>
2022-11-23T01:32:30.7103338Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7103409Z             }
2022-11-23T01:32:30.7103480Z             
2022-11-23T01:32:30.7103744Z [2022-11-23 01:28:53,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316
2022-11-23T01:32:30.7103999Z [2022-11-23 01:28:53,444] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7104366Z [2022-11-23 01:28:53,627] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xw/cxw7mpiglumr3a4kmpiruwhowzrjdtdtffnue2nog37kkb5lyh2i.py
2022-11-23T01:32:30.7104628Z [2022-11-23 01:28:53,627] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to complex input striding
2022-11-23T01:32:30.7104899Z [2022-11-23 01:28:53,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316
2022-11-23T01:32:30.7104905Z 
2022-11-23T01:32:30.7105007Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7105075Z import torch
2022-11-23T01:32:30.7105149Z import random
2022-11-23T01:32:30.7105273Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7105402Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7105407Z 
2022-11-23T01:32:30.7105493Z aten = torch.ops.aten
2022-11-23T01:32:30.7105636Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7105737Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7105742Z 
2022-11-23T01:32:30.7105813Z import triton
2022-11-23T01:32:30.7105908Z import triton.language as tl
2022-11-23T01:32:30.7106039Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7106187Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7106195Z 
2022-11-23T01:32:30.7106199Z 
2022-11-23T01:32:30.7106361Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7106439Z import triton
2022-11-23T01:32:30.7106533Z import triton.language as tl
2022-11-23T01:32:30.7106653Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7106750Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7106889Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7107020Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7107025Z 
2022-11-23T01:32:30.7107454Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7107531Z @triton.jit
2022-11-23T01:32:30.7107680Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7107779Z     xnumel = 625
2022-11-23T01:32:30.7107881Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7108009Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7108093Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7108172Z     x0 = xindex % 5
2022-11-23T01:32:30.7108255Z     x2 = (xindex // 25) % 5
2022-11-23T01:32:30.7108327Z     x4 = xindex
2022-11-23T01:32:30.7108436Z     tmp0 = tl.load(in_ptr0 + (x0 + (5*x2)), xmask)
2022-11-23T01:32:30.7108542Z     tmp1 = tl.load(in_ptr1 + (x0 + (5*x2)), xmask)
2022-11-23T01:32:30.7108615Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7108753Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7108842Z ''')
2022-11-23T01:32:30.7108848Z 
2022-11-23T01:32:30.7108853Z 
2022-11-23T01:32:30.7108952Z async_compile.wait(globals())
2022-11-23T01:32:30.7109032Z del async_compile
2022-11-23T01:32:30.7109037Z 
2022-11-23T01:32:30.7109113Z def call(args):
2022-11-23T01:32:30.7109195Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.7109269Z     args.clear()
2022-11-23T01:32:30.7109484Z     buf0 = empty_strided((5, 5, 5, 5), (125, 25, 5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7109576Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7109726Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 625, grid=grid(625), stream=stream0)
2022-11-23T01:32:30.7109801Z     del arg0_1
2022-11-23T01:32:30.7109875Z     del arg1_1
2022-11-23T01:32:30.7109953Z     return (buf0, )
2022-11-23T01:32:30.7109958Z 
2022-11-23T01:32:30.7109962Z 
2022-11-23T01:32:30.7110045Z if __name__ == "__main__":
2022-11-23T01:32:30.7110157Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7110357Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7110591Z     arg0_1 = rand_strided((5, 5, 5, 5), (0, 5, 0, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7110804Z     arg1_1 = rand_strided((5, 5, 5, 5), (0, 5, 0, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7110928Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.7110934Z 
2022-11-23T01:32:30.7111008Z ok (0.222s)
2022-11-23T01:32:30.7111369Z   test_expanded_inputs_cudagraphs_no_size_asserts (__main__.CudaReproTests) ... [2022-11-23 01:28:53,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.7111687Z [2022-11-23 01:28:53,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5208
2022-11-23T01:32:30.7111894Z [2022-11-23 01:28:53,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7112135Z [2022-11-23 01:28:53,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:30.7112416Z [2022-11-23 01:28:53,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7112668Z [2022-11-23 01:28:53,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7112910Z [2022-11-23 01:28:53,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.7113158Z [2022-11-23 01:28:53,646] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7113402Z [2022-11-23 01:28:53,649] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7113599Z [2022-11-23 01:28:53,649] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7113743Z  __compiled_fn_325 <eval_with_key>.2005 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7113825Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7113911Z placeholder, y, y, (), {}
2022-11-23T01:32:30.7114123Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:30.7114228Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7114234Z 
2022-11-23T01:32:30.7114573Z [2022-11-23 01:28:53,649] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5206 
2022-11-23T01:32:30.7114698Z 5208           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7114797Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7114876Z                4 BINARY_ADD
2022-11-23T01:32:30.7114951Z                6 RETURN_VALUE
2022-11-23T01:32:30.7114956Z 
2022-11-23T01:32:30.7115022Z  
2022-11-23T01:32:30.7115351Z [2022-11-23 01:28:53,649] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5206 
2022-11-23T01:32:30.7115470Z 5206           0 LOAD_GLOBAL              0 (__compiled_fn_325)
2022-11-23T01:32:30.7115568Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7115669Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7115768Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.7115859Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7115948Z               10 RETURN_VALUE
2022-11-23T01:32:30.7115953Z 
2022-11-23T01:32:30.7116020Z  
2022-11-23T01:32:30.7116215Z [2022-11-23 01:28:53,650] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7116293Z  - 
2022-11-23T01:32:30.7116422Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7116492Z             {
2022-11-23T01:32:30.7116643Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7116750Z                 'code': None,
2022-11-23T01:32:30.7116962Z                 'obj_weakref': <weakref at 0x7f2072845670; to 'Tensor' at 0x7f20606e6390>
2022-11-23T01:32:30.7117218Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7117289Z             }
2022-11-23T01:32:30.7117361Z             
2022-11-23T01:32:30.7117437Z  - 
2022-11-23T01:32:30.7117562Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.7117624Z             {
2022-11-23T01:32:30.7117773Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7117892Z                 'code': None,
2022-11-23T01:32:30.7118102Z                 'obj_weakref': <weakref at 0x7f20726fe6b0; to 'Tensor' at 0x7f202333b7e0>
2022-11-23T01:32:30.7118357Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7118428Z             }
2022-11-23T01:32:30.7118498Z             
2022-11-23T01:32:30.7118756Z [2022-11-23 01:28:53,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317
2022-11-23T01:32:30.7119013Z [2022-11-23 01:28:53,659] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7119390Z [2022-11-23 01:28:53,663] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xw/cxw7mpiglumr3a4kmpiruwhowzrjdtdtffnue2nog37kkb5lyh2i.py
2022-11-23T01:32:30.7119659Z [2022-11-23 01:28:53,663] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to complex input striding
2022-11-23T01:32:30.7119932Z [2022-11-23 01:28:53,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317
2022-11-23T01:32:30.7119937Z 
2022-11-23T01:32:30.7120040Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7120120Z import torch
2022-11-23T01:32:30.7120196Z import random
2022-11-23T01:32:30.7120313Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7120442Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7120447Z 
2022-11-23T01:32:30.7120530Z aten = torch.ops.aten
2022-11-23T01:32:30.7120672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7120771Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7120777Z 
2022-11-23T01:32:30.7120855Z import triton
2022-11-23T01:32:30.7120983Z import triton.language as tl
2022-11-23T01:32:30.7121114Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7121252Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7121279Z 
2022-11-23T01:32:30.7121291Z 
2022-11-23T01:32:30.7121444Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7121520Z import triton
2022-11-23T01:32:30.7121617Z import triton.language as tl
2022-11-23T01:32:30.7121738Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7121843Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7121980Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7122110Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7122116Z 
2022-11-23T01:32:30.7122500Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7122576Z @triton.jit
2022-11-23T01:32:30.7122724Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7122805Z     xnumel = 625
2022-11-23T01:32:30.7122906Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7123039Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7123126Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7123194Z     x0 = xindex % 5
2022-11-23T01:32:30.7123279Z     x2 = (xindex // 25) % 5
2022-11-23T01:32:30.7123351Z     x4 = xindex
2022-11-23T01:32:30.7123461Z     tmp0 = tl.load(in_ptr0 + (x0 + (5*x2)), xmask)
2022-11-23T01:32:30.7123568Z     tmp1 = tl.load(in_ptr1 + (x0 + (5*x2)), xmask)
2022-11-23T01:32:30.7123649Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7123790Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7123870Z ''')
2022-11-23T01:32:30.7123884Z 
2022-11-23T01:32:30.7123888Z 
2022-11-23T01:32:30.7123979Z async_compile.wait(globals())
2022-11-23T01:32:30.7124061Z del async_compile
2022-11-23T01:32:30.7124066Z 
2022-11-23T01:32:30.7124143Z def call(args):
2022-11-23T01:32:30.7124225Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.7124307Z     args.clear()
2022-11-23T01:32:30.7124526Z     buf0 = empty_strided((5, 5, 5, 5), (125, 25, 5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7124620Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7124761Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 625, grid=grid(625), stream=stream0)
2022-11-23T01:32:30.7124835Z     del arg0_1
2022-11-23T01:32:30.7124909Z     del arg1_1
2022-11-23T01:32:30.7124989Z     return (buf0, )
2022-11-23T01:32:30.7124994Z 
2022-11-23T01:32:30.7124999Z 
2022-11-23T01:32:30.7125083Z if __name__ == "__main__":
2022-11-23T01:32:30.7125202Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7125332Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7125548Z     arg0_1 = rand_strided((5, 5, 5, 5), (0, 5, 0, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7125752Z     arg1_1 = rand_strided((5, 5, 5, 5), (0, 5, 0, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7125879Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.7125884Z 
2022-11-23T01:32:30.7125957Z ok (0.035s)
2022-11-23T01:32:30.7126300Z   test_index_put_issue (__main__.CudaReproTests) ... [2022-11-23 01:28:53,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:30.7126553Z [2022-11-23 01:28:53,693] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7126806Z [2022-11-23 01:28:53,694] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7127164Z [2022-11-23 01:28:53,899] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bl/cblwgslwzs3vxtqgbn7d34uik22jw3v37fgnmymmy4hebq3jub6a.py
2022-11-23T01:32:30.7127447Z [2022-11-23 01:28:53,899] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.7127711Z [2022-11-23 01:28:53,899] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:30.7127738Z 
2022-11-23T01:32:30.7127832Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7127910Z import torch
2022-11-23T01:32:30.7127988Z import random
2022-11-23T01:32:30.7128110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7128238Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7128244Z 
2022-11-23T01:32:30.7128329Z aten = torch.ops.aten
2022-11-23T01:32:30.7128472Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7128562Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7128576Z 
2022-11-23T01:32:30.7128644Z import triton
2022-11-23T01:32:30.7128738Z import triton.language as tl
2022-11-23T01:32:30.7128873Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7129016Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7129022Z 
2022-11-23T01:32:30.7129026Z 
2022-11-23T01:32:30.7129184Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:30.7129263Z import triton
2022-11-23T01:32:30.7129356Z import triton.language as tl
2022-11-23T01:32:30.7129464Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7129567Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7129707Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7129835Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7129840Z 
2022-11-23T01:32:30.7130218Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7130292Z @triton.jit
2022-11-23T01:32:30.7130432Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7130511Z     xnumel = 393216
2022-11-23T01:32:30.7130603Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7130734Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7130823Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7130897Z     x0 = xindex
2022-11-23T01:32:30.7131020Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7131159Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.7131246Z ''')
2022-11-23T01:32:30.7131252Z 
2022-11-23T01:32:30.7131256Z 
2022-11-23T01:32:30.7131460Z triton_fused_where_view_index_put__sum_1_clone1 = async_compile.triton('''
2022-11-23T01:32:30.7131528Z import triton
2022-11-23T01:32:30.7131622Z import triton.language as tl
2022-11-23T01:32:30.7131736Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7131842Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7131981Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7132108Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7132113Z 
2022-11-23T01:32:30.7132531Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*i64', 1: '*i1', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:30.7132610Z @triton.jit
2022-11-23T01:32:30.7132765Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7132844Z     xnumel = 393216
2022-11-23T01:32:30.7132944Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7133076Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7133161Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7133242Z     x1 = (xindex // 768)
2022-11-23T01:32:30.7133315Z     x2 = xindex
2022-11-23T01:32:30.7133424Z     x0 = xindex % 768
2022-11-23T01:32:30.7133524Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:30.7133624Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:30.7133747Z     tmp2 = tl.load(in_ptr2 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:30.7133892Z     tmp3 = tl.load(in_ptr2 + (393216 + x2), xmask).to(tl.float32)
2022-11-23T01:32:30.7134012Z     tmp5 = tl.load(in_ptr2 + (786432 + x2), xmask).to(tl.float32)
2022-11-23T01:32:30.7134139Z     tmp7 = tl.load(in_ptr2 + (1179648 + x2), xmask).to(tl.float32)
2022-11-23T01:32:30.7134248Z     tmp9 = tl.load(in_ptr3 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:30.7134328Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.7134410Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:30.7134493Z     tmp8 = tmp6 + tmp7
2022-11-23T01:32:30.7134596Z     tmp10 = tl.where(tmp1, tmp8, tmp9)
2022-11-23T01:32:30.7134749Z     tl.atomic_add(out_ptr0 + (x0 + (768*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:30.7134839Z ''')
2022-11-23T01:32:30.7134844Z 
2022-11-23T01:32:30.7134851Z 
2022-11-23T01:32:30.7134946Z async_compile.wait(globals())
2022-11-23T01:32:30.7135017Z del async_compile
2022-11-23T01:32:30.7135022Z 
2022-11-23T01:32:30.7135099Z def call(args):
2022-11-23T01:32:30.7135268Z     self_1, arg76_1_1, expand_default_1, full_like_default_1, _to_copy_default_67_1, zeros_1 = args
2022-11-23T01:32:30.7135345Z     args.clear()
2022-11-23T01:32:30.7135551Z     buf0 = empty_strided((512, 768), (768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7135642Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7135791Z     triton_fused_clone0.run(zeros_1, buf0, 393216, grid=grid(393216), stream=stream0)
2022-11-23T01:32:30.7135857Z     del zeros_1
2022-11-23T01:32:30.7136085Z     triton_fused_where_view_index_put__sum_1_clone1.run(arg76_1_1, expand_default_1, _to_copy_default_67_1, full_like_default_1, buf0, 393216, grid=grid(393216), stream=stream0)
2022-11-23T01:32:30.7136177Z     del _to_copy_default_67_1
2022-11-23T01:32:30.7136255Z     del arg76_1_1
2022-11-23T01:32:30.7136349Z     del expand_default_1
2022-11-23T01:32:30.7136434Z     del full_like_default_1
2022-11-23T01:32:30.7136510Z     return (buf0, )
2022-11-23T01:32:30.7136516Z 
2022-11-23T01:32:30.7136524Z 
2022-11-23T01:32:30.7136606Z if __name__ == "__main__":
2022-11-23T01:32:30.7136719Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7136850Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7137042Z     self_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:30.7137243Z     arg76_1_1 = rand_strided((512, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7137464Z     expand_default_1 = rand_strided((512, 768), (768, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7137693Z     full_like_default_1 = rand_strided((512, 768), (768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7137944Z     _to_copy_default_67_1 = rand_strided((4, 512, 768), (393216, 768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7138157Z     zeros_1 = rand_strided((512, 768), (768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7138349Z     print_performance(lambda: call([self_1, arg76_1_1, expand_default_1, full_like_default_1, _to_copy_default_67_1, zeros_1]))
2022-11-23T01:32:30.7138364Z 
2022-11-23T01:32:30.7138429Z ok (0.235s)
2022-11-23T01:32:30.7138970Z   test_indirect_indexing_dense_mask (__main__.CudaReproTests) ... [2022-11-23 01:28:53,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.7139302Z [2022-11-23 01:28:53,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5383
2022-11-23T01:32:30.7139528Z [2022-11-23 01:28:53,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7139949Z [2022-11-23 01:28:53,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7140251Z [2022-11-23 01:28:53,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7140585Z [2022-11-23 01:28:53,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ne [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7140847Z [2022-11-23 01:28:53,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TorchVariable(aten.ne)]
2022-11-23T01:32:30.7141111Z [2022-11-23 01:28:53,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.ne.Scalar)]
2022-11-23T01:32:30.7141394Z [2022-11-23 01:28:53,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.ne.Scalar), TensorVariable()]
2022-11-23T01:32:30.7141728Z [2022-11-23 01:28:53,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.ne.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7141980Z [2022-11-23 01:28:53,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST ne [TensorVariable()]
2022-11-23T01:32:30.7142298Z [2022-11-23 01:28:53,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5384
2022-11-23T01:32:30.7142527Z [2022-11-23 01:28:53,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7142895Z [2022-11-23 01:28:53,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7143191Z [2022-11-23 01:28:53,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7143494Z [2022-11-23 01:28:53,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7143765Z [2022-11-23 01:28:53,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim_IntList [TorchVariable(aten.sum)]
2022-11-23T01:32:30.7144038Z [2022-11-23 01:28:53,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ne [TorchVariable(aten.sum.dim_IntList)]
2022-11-23T01:32:30.7144341Z [2022-11-23 01:28:53,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.sum.dim_IntList), TensorVariable()]
2022-11-23T01:32:30.7144669Z [2022-11-23 01:28:53,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.sum.dim_IntList), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7144994Z [2022-11-23 01:28:53,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sum.dim_IntList), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.7145242Z [2022-11-23 01:28:53,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_1 [TensorVariable()]
2022-11-23T01:32:30.7145563Z [2022-11-23 01:28:53,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5385
2022-11-23T01:32:30.7145788Z [2022-11-23 01:28:53,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7146158Z [2022-11-23 01:28:53,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7146452Z [2022-11-23 01:28:53,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7146754Z [2022-11-23 01:28:53,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7147015Z [2022-11-23 01:28:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:32:30.7147315Z [2022-11-23 01:28:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_1 [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:32:30.7147602Z [2022-11-23 01:28:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:32:30.7147960Z [2022-11-23 01:28:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7148209Z [2022-11-23 01:28:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub [TensorVariable()]
2022-11-23T01:32:30.7148526Z [2022-11-23 01:28:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5386
2022-11-23T01:32:30.7148755Z [2022-11-23 01:28:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7149123Z [2022-11-23 01:28:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7149420Z [2022-11-23 01:28:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7149736Z [2022-11-23 01:28:53,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7150010Z [2022-11-23 01:28:53,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.unsqueeze)]
2022-11-23T01:32:30.7150368Z [2022-11-23 01:28:53,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub [TorchVariable(aten.unsqueeze.default)]
2022-11-23T01:32:30.7150686Z [2022-11-23 01:28:53,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.unsqueeze.default), TensorVariable()]
2022-11-23T01:32:30.7151034Z [2022-11-23 01:28:53,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7151294Z [2022-11-23 01:28:53,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unsqueeze [TensorVariable()]
2022-11-23T01:32:30.7151616Z [2022-11-23 01:28:53,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5387
2022-11-23T01:32:30.7151840Z [2022-11-23 01:28:53,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7152212Z [2022-11-23 01:28:53,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7152555Z [2022-11-23 01:28:53,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7152868Z [2022-11-23 01:28:53,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7153136Z [2022-11-23 01:28:53,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:32:30.7153415Z [2022-11-23 01:28:53,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gather.default)]
2022-11-23T01:32:30.7153715Z [2022-11-23 01:28:53,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:32:30.7154058Z [2022-11-23 01:28:53,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7154426Z [2022-11-23 01:28:53,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.7154714Z [2022-11-23 01:28:53,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather [TensorVariable()]
2022-11-23T01:32:30.7155034Z [2022-11-23 01:28:53,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5388
2022-11-23T01:32:30.7155282Z [2022-11-23 01:28:53,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7155643Z [2022-11-23 01:28:53,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7155933Z [2022-11-23 01:28:53,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7156246Z [2022-11-23 01:28:53,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7156519Z [2022-11-23 01:28:53,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.squeeze)]
2022-11-23T01:32:30.7156804Z [2022-11-23 01:28:53,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather [TorchVariable(aten.squeeze.default)]
2022-11-23T01:32:30.7157118Z [2022-11-23 01:28:53,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.squeeze.default), TensorVariable()]
2022-11-23T01:32:30.7157364Z [2022-11-23 01:28:53,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST squeeze [TensorVariable()]
2022-11-23T01:32:30.7157681Z [2022-11-23 01:28:53,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5389
2022-11-23T01:32:30.7157903Z [2022-11-23 01:28:53,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7158262Z [2022-11-23 01:28:53,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7158553Z [2022-11-23 01:28:53,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7158861Z [2022-11-23 01:28:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR multiply [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7159126Z [2022-11-23 01:28:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(aten.multiply)]
2022-11-23T01:32:30.7159424Z [2022-11-23 01:28:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.multiply), TensorVariable()]
2022-11-23T01:32:30.7159746Z [2022-11-23 01:28:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.multiply), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7159995Z [2022-11-23 01:28:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
2022-11-23T01:32:30.7160316Z [2022-11-23 01:28:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5390
2022-11-23T01:32:30.7160528Z [2022-11-23 01:28:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out []
2022-11-23T01:32:30.7160779Z [2022-11-23 01:28:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7161032Z [2022-11-23 01:28:53,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7161271Z [2022-11-23 01:28:53,961] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.7161518Z [2022-11-23 01:28:53,962] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7161768Z [2022-11-23 01:28:53,969] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7161998Z [2022-11-23 01:28:53,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7162204Z  __compiled_fn_326 <eval_with_key>.2012 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7162287Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7162373Z placeholder, y, y, (), {}
2022-11-23T01:32:30.7162521Z call_function, ne_scalar, aten.ne.Scalar, (x, 1), {}
2022-11-23T01:32:30.7162669Z call_function, sum_dim_int_list, aten.sum.dim_IntList, (ne_scalar, [1]), {}
2022-11-23T01:32:30.7162815Z call_function, sub_tensor, aten.sub.Tensor, (sum_dim_int_list, 1), {}
2022-11-23T01:32:30.7163037Z call_function, unsqueeze_default, aten.unsqueeze.default, (sub_tensor, -1), {}
2022-11-23T01:32:30.7163203Z call_function, gather_default, aten.gather.default, (x, 1, unsqueeze_default), {}
2022-11-23T01:32:30.7163358Z call_function, squeeze_default, aten.squeeze.default, (gather_default,), {}
2022-11-23T01:32:30.7163491Z call_function, multiply, aten.multiply, (y, squeeze_default), {}
2022-11-23T01:32:30.7163602Z output, output, output, ((multiply,),), {}
2022-11-23T01:32:30.7163608Z 
2022-11-23T01:32:30.7163938Z [2022-11-23 01:28:53,970] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5382 
2022-11-23T01:32:30.7164043Z 5383           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7164146Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7164246Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7164346Z                6 LOAD_ATTR                3 (ne)
2022-11-23T01:32:30.7164449Z                8 LOAD_METHOD              4 (Scalar)
2022-11-23T01:32:30.7164538Z               10 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7164637Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7164733Z               14 CALL_METHOD              2
2022-11-23T01:32:30.7164832Z               16 STORE_FAST               2 (ne)
2022-11-23T01:32:30.7164837Z 
2022-11-23T01:32:30.7164939Z 5384          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7165043Z               20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7165144Z               22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7165232Z               24 LOAD_ATTR                5 (sum)
2022-11-23T01:32:30.7165347Z               26 LOAD_METHOD              6 (dim_IntList)
2022-11-23T01:32:30.7165446Z               28 LOAD_FAST                2 (ne)
2022-11-23T01:32:30.7165542Z               30 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7165637Z               32 BUILD_LIST               1
2022-11-23T01:32:30.7165733Z               34 CALL_METHOD              2
2022-11-23T01:32:30.7165833Z               36 STORE_FAST               3 (sum_1)
2022-11-23T01:32:30.7165838Z 
2022-11-23T01:32:30.7165937Z 5385          38 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7166026Z               40 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7166127Z               42 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7166224Z               44 LOAD_ATTR                7 (sub)
2022-11-23T01:32:30.7166330Z               46 LOAD_METHOD              8 (Tensor)
2022-11-23T01:32:30.7166428Z               48 LOAD_FAST                3 (sum_1)
2022-11-23T01:32:30.7166524Z               50 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7166626Z               52 CALL_METHOD              2
2022-11-23T01:32:30.7166716Z               54 STORE_FAST               4 (sub)
2022-11-23T01:32:30.7166729Z 
2022-11-23T01:32:30.7166820Z 5386          56 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7166917Z               58 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7167016Z               60 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7167125Z               62 LOAD_ATTR                9 (unsqueeze)
2022-11-23T01:32:30.7167230Z               64 LOAD_METHOD             10 (default)
2022-11-23T01:32:30.7167327Z               66 LOAD_FAST                4 (sub)
2022-11-23T01:32:30.7167472Z               68 LOAD_CONST               2 (-1)
2022-11-23T01:32:30.7167590Z               70 CALL_METHOD              2
2022-11-23T01:32:30.7167696Z               72 STORE_FAST               5 (unsqueeze)
2022-11-23T01:32:30.7167702Z 
2022-11-23T01:32:30.7167805Z 5387          74 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7167923Z               76 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7168021Z               78 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7168123Z               80 LOAD_ATTR               11 (gather)
2022-11-23T01:32:30.7168223Z               82 LOAD_METHOD             10 (default)
2022-11-23T01:32:30.7168312Z               84 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7168410Z               86 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7168516Z               88 LOAD_FAST                5 (unsqueeze)
2022-11-23T01:32:30.7168612Z               90 CALL_METHOD              3
2022-11-23T01:32:30.7168716Z               92 STORE_FAST               6 (gather)
2022-11-23T01:32:30.7168721Z 
2022-11-23T01:32:30.7168824Z 5388          94 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7168920Z               96 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7169017Z               98 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7169113Z              100 LOAD_ATTR               12 (squeeze)
2022-11-23T01:32:30.7169213Z              102 LOAD_METHOD             10 (default)
2022-11-23T01:32:30.7169313Z              104 LOAD_FAST                6 (gather)
2022-11-23T01:32:30.7169406Z              106 CALL_METHOD              1
2022-11-23T01:32:30.7169509Z              108 STORE_FAST               7 (squeeze)
2022-11-23T01:32:30.7169514Z 
2022-11-23T01:32:30.7169614Z 5389         110 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7169713Z              112 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7169814Z              114 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7169913Z              116 LOAD_METHOD             13 (multiply)
2022-11-23T01:32:30.7170010Z              118 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7170114Z              120 LOAD_FAST                7 (squeeze)
2022-11-23T01:32:30.7170209Z              122 CALL_METHOD              2
2022-11-23T01:32:30.7170310Z              124 STORE_FAST               8 (out)
2022-11-23T01:32:30.7170318Z 
2022-11-23T01:32:30.7170415Z 5390         126 LOAD_FAST                8 (out)
2022-11-23T01:32:30.7170511Z              128 BUILD_TUPLE              1
2022-11-23T01:32:30.7170587Z              130 RETURN_VALUE
2022-11-23T01:32:30.7170592Z 
2022-11-23T01:32:30.7170659Z  
2022-11-23T01:32:30.7170991Z [2022-11-23 01:28:53,970] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5382 
2022-11-23T01:32:30.7171109Z 5382           0 LOAD_GLOBAL             14 (__compiled_fn_326)
2022-11-23T01:32:30.7171206Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7171304Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7171406Z                6 CALL_FUNCTION            2
2022-11-23T01:32:30.7171521Z                8 STORE_FAST               9 (___graph_out_0)
2022-11-23T01:32:30.7171625Z               10 LOAD_FAST                9 (___graph_out_0)
2022-11-23T01:32:30.7171723Z               12 LOAD_CONST               3 (0)
2022-11-23T01:32:30.7171810Z               14 BINARY_SUBSCR
2022-11-23T01:32:30.7171907Z               16 BUILD_TUPLE              1
2022-11-23T01:32:30.7171989Z               18 RETURN_VALUE
2022-11-23T01:32:30.7171994Z 
2022-11-23T01:32:30.7172061Z  
2022-11-23T01:32:30.7172251Z [2022-11-23 01:28:53,970] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7172321Z  - 
2022-11-23T01:32:30.7172448Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7172521Z             {
2022-11-23T01:32:30.7172673Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7172786Z                 'code': None,
2022-11-23T01:32:30.7173002Z                 'obj_weakref': <weakref at 0x7f2060184270; to 'Tensor' at 0x7f20692476f0>
2022-11-23T01:32:30.7173290Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7173357Z             }
2022-11-23T01:32:30.7173449Z             
2022-11-23T01:32:30.7173528Z  - 
2022-11-23T01:32:30.7173654Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:30.7173725Z             {
2022-11-23T01:32:30.7173872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7173987Z                 'code': None,
2022-11-23T01:32:30.7174192Z                 'obj_weakref': <weakref at 0x7f2060185df0; to 'Tensor' at 0x7f206013ae30>
2022-11-23T01:32:30.7174445Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7174517Z             }
2022-11-23T01:32:30.7174586Z             
2022-11-23T01:32:30.7174663Z  - 
2022-11-23T01:32:30.7174804Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7174875Z             {
2022-11-23T01:32:30.7174997Z                 'guard_types': None,
2022-11-23T01:32:30.7175111Z                 'code': None,
2022-11-23T01:32:30.7175236Z                 'obj_weakref': None
2022-11-23T01:32:30.7175363Z                 'guarded_class': None
2022-11-23T01:32:30.7175436Z             }
2022-11-23T01:32:30.7175505Z             
2022-11-23T01:32:30.7175772Z [2022-11-23 01:28:53,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318
2022-11-23T01:32:30.7176270Z [2022-11-23 01:28:53,987] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7176485Z [2022-11-23 01:28:53,989] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:30.7176848Z [2022-11-23 01:28:54,164] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lk/clkuyyv4qd2sbac6bzhhjlt554nt25oogm2m3jfq25ixtcgxzp74.py
2022-11-23T01:32:30.7177119Z [2022-11-23 01:28:54,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318
2022-11-23T01:32:30.7177125Z 
2022-11-23T01:32:30.7177230Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7177309Z import torch
2022-11-23T01:32:30.7177384Z import random
2022-11-23T01:32:30.7177507Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7177636Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7177641Z 
2022-11-23T01:32:30.7177719Z aten = torch.ops.aten
2022-11-23T01:32:30.7177862Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7177961Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7177966Z 
2022-11-23T01:32:30.7178042Z import triton
2022-11-23T01:32:30.7178138Z import triton.language as tl
2022-11-23T01:32:30.7178266Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7178415Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7178421Z 
2022-11-23T01:32:30.7178426Z 
2022-11-23T01:32:30.7178645Z triton_fused_sum_1_gather_unsqueeze_squeeze_ne_sub_mul0 = async_compile.triton('''
2022-11-23T01:32:30.7178716Z import triton
2022-11-23T01:32:30.7179004Z import triton.language as tl
2022-11-23T01:32:30.7179126Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7179229Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7179363Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7179491Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7179496Z 
2022-11-23T01:32:30.7179587Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:30.7179698Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.7179784Z               filename=__file__,
2022-11-23T01:32:30.7180182Z               meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:30.7180259Z @triton.jit
2022-11-23T01:32:30.7180441Z def kernel(in_ptr0, in_ptr1, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7180547Z     xnumel = 1
2022-11-23T01:32:30.7180621Z     rnumel = 128
2022-11-23T01:32:30.7180723Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7180855Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7180942Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7181066Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7181183Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.int64) + 0
2022-11-23T01:32:30.7181290Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7181381Z         rindex = roffset + rbase
2022-11-23T01:32:30.7181468Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7181533Z         r0 = rindex
2022-11-23T01:32:30.7181738Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7181814Z         tmp1 = 1
2022-11-23T01:32:30.7181897Z         tmp2 = tmp0 != tmp1
2022-11-23T01:32:30.7181988Z         tmp3 = tmp2.to(tl.int64)
2022-11-23T01:32:30.7182118Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:30.7182234Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7182334Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7182422Z         rindex = roffset + rbase
2022-11-23T01:32:30.7182506Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7182578Z         r0 = rindex
2022-11-23T01:32:30.7182775Z         tmp5 = tl.load(in_ptr1 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7182850Z         tmp6 = 1
2022-11-23T01:32:30.7182967Z         tmp7 = tmp4 - tmp6
2022-11-23T01:32:30.7183231Z         tmp8 = tl.load(in_ptr0 + (tmp7 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7183314Z         tmp9 = tmp5 * tmp8
2022-11-23T01:32:30.7183472Z         tl.store(out_ptr1 + (r0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp9, xmask & rmask)
2022-11-23T01:32:30.7183561Z ''')
2022-11-23T01:32:30.7183566Z 
2022-11-23T01:32:30.7183574Z 
2022-11-23T01:32:30.7183668Z async_compile.wait(globals())
2022-11-23T01:32:30.7183747Z del async_compile
2022-11-23T01:32:30.7183752Z 
2022-11-23T01:32:30.7183830Z def call(args):
2022-11-23T01:32:30.7183911Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.7183981Z     args.clear()
2022-11-23T01:32:30.7184183Z     buf1 = empty_strided((1, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7184275Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7184463Z     triton_fused_sum_1_gather_unsqueeze_squeeze_ne_sub_mul0.run(arg0_1, arg1_1, buf1, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7184543Z     del arg0_1
2022-11-23T01:32:30.7184616Z     del arg1_1
2022-11-23T01:32:30.7184693Z     return (buf1, )
2022-11-23T01:32:30.7184698Z 
2022-11-23T01:32:30.7184703Z 
2022-11-23T01:32:30.7184780Z if __name__ == "__main__":
2022-11-23T01:32:30.7184901Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7185032Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7185242Z     arg0_1 = rand_strided((1, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7185447Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.7185570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.7185575Z 
2022-11-23T01:32:30.7185648Z ok (0.386s)
2022-11-23T01:32:30.7185995Z   test_inplace_updates_cudagraphs (__main__.CudaReproTests) ... [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:32:30.7186309Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5226
2022-11-23T01:32:30.7186559Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7186925Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR matmul [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7187270Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method matmul of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7187618Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method matmul of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7188002Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight1 [TorchVariable(<built-in method matmul of type object at 0x7f209c394c60>), TensorVariable(), NNModuleVariable()]
2022-11-23T01:32:30.7188380Z [2022-11-23 01:28:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method matmul of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7188623Z [2022-11-23 01:28:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:30.7188938Z [2022-11-23 01:28:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5227
2022-11-23T01:32:30.7189151Z [2022-11-23 01:28:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7189402Z [2022-11-23 01:28:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7189644Z [2022-11-23 01:28:54,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:32:30.7189881Z [2022-11-23 01:28:54,295] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7190124Z [2022-11-23 01:28:54,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7190390Z [2022-11-23 01:28:54,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7190549Z  __compiled_fn_327 <eval_with_key>.2018 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7190657Z placeholder, x, x, (), {}
2022-11-23T01:32:30.7190783Z get_attr, self_weight1, self_weight1, (), {}
2022-11-23T01:32:30.7191047Z call_function, matmul, <built-in method matmul of type object at 0x7f209c394c60>, (x, self_weight1), {}
2022-11-23T01:32:30.7191157Z output, output, output, ((matmul,),), {}
2022-11-23T01:32:30.7191162Z 
2022-11-23T01:32:30.7191487Z [2022-11-23 01:28:54,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5225 
2022-11-23T01:32:30.7191594Z 5226           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7191697Z                2 LOAD_METHOD              1 (matmul)
2022-11-23T01:32:30.7191798Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:30.7191899Z                6 LOAD_FAST                0 (self)
2022-11-23T01:32:30.7192000Z                8 LOAD_ATTR                2 (weight1)
2022-11-23T01:32:30.7192096Z               10 CALL_METHOD              2
2022-11-23T01:32:30.7192195Z               12 STORE_FAST               1 (x)
2022-11-23T01:32:30.7192200Z 
2022-11-23T01:32:30.7192287Z 5227          14 LOAD_FAST                1 (x)
2022-11-23T01:32:30.7192367Z               16 RETURN_VALUE
2022-11-23T01:32:30.7192372Z 
2022-11-23T01:32:30.7192438Z  
2022-11-23T01:32:30.7192769Z [2022-11-23 01:28:54,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5225 
2022-11-23T01:32:30.7192885Z 5225           0 LOAD_GLOBAL              3 (__compiled_fn_327)
2022-11-23T01:32:30.7192982Z                2 LOAD_FAST                1 (x)
2022-11-23T01:32:30.7193081Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7193211Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7193287Z                8 RETURN_VALUE
2022-11-23T01:32:30.7193292Z 
2022-11-23T01:32:30.7193357Z  
2022-11-23T01:32:30.7193548Z [2022-11-23 01:28:54,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7193648Z  - 
2022-11-23T01:32:30.7193774Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:30.7193844Z             {
2022-11-23T01:32:30.7193999Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7194104Z                 'code': None,
2022-11-23T01:32:30.7194318Z                 'obj_weakref': <weakref at 0x7f20601ec360; to 'Tensor' at 0x7f2151ecf2e0>
2022-11-23T01:32:30.7194567Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7194638Z             }
2022-11-23T01:32:30.7194708Z             
2022-11-23T01:32:30.7194788Z  - 
2022-11-23T01:32:30.7194911Z             local 'self' NN_MODULE
2022-11-23T01:32:30.7194976Z             {
2022-11-23T01:32:30.7195120Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7195297Z                 'code': ['___check_obj_id(self, 139777160986528)'],
2022-11-23T01:32:30.7195517Z                 'obj_weakref': <weakref at 0x7f2115e25e40; to 'Repro' at 0x7f2068073fa0>
2022-11-23T01:32:30.7195743Z                 'guarded_class': <weakref at 0x7f207274fce0; to 'type' at 0x563130793c40 (Repro)>
2022-11-23T01:32:30.7195813Z             }
2022-11-23T01:32:30.7195882Z             
2022-11-23T01:32:30.7195950Z  - 
2022-11-23T01:32:30.7196088Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7196158Z             {
2022-11-23T01:32:30.7196286Z                 'guard_types': None,
2022-11-23T01:32:30.7196400Z                 'code': None,
2022-11-23T01:32:30.7196527Z                 'obj_weakref': None
2022-11-23T01:32:30.7196655Z                 'guarded_class': None
2022-11-23T01:32:30.7196716Z             }
2022-11-23T01:32:30.7196783Z             
2022-11-23T01:32:30.7196861Z  - 
2022-11-23T01:32:30.7197030Z             local_nn_module 'self.weight1' TENSOR_MATCH
2022-11-23T01:32:30.7197101Z             {
2022-11-23T01:32:30.7197227Z                 'guard_types': None,
2022-11-23T01:32:30.7197334Z                 'code': None,
2022-11-23T01:32:30.7197459Z                 'obj_weakref': None
2022-11-23T01:32:30.7197585Z                 'guarded_class': None
2022-11-23T01:32:30.7197656Z             }
2022-11-23T01:32:30.7197725Z             
2022-11-23T01:32:30.7197989Z [2022-11-23 01:28:54,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319
2022-11-23T01:32:30.7198356Z [2022-11-23 01:28:54,316] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23wbcm4uxtagsqod7cy4kvp26pyafr3cccwaawvbium3kagrl3o.py
2022-11-23T01:32:30.7198625Z [2022-11-23 01:28:54,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319
2022-11-23T01:32:30.7198878Z [2022-11-23 01:28:54,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 319
2022-11-23T01:32:30.7199250Z [2022-11-23 01:28:54,428] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4o/c4otaxqae5qtugrp6wxogndnz4npkwnb5ckgiavnzxcxzso4stud.py
2022-11-23T01:32:30.7199522Z [2022-11-23 01:28:54,535] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 319
2022-11-23T01:32:30.7199528Z 
2022-11-23T01:32:30.7199628Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7199703Z import torch
2022-11-23T01:32:30.7199779Z import random
2022-11-23T01:32:30.7199902Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7200030Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7200035Z 
2022-11-23T01:32:30.7200111Z aten = torch.ops.aten
2022-11-23T01:32:30.7200253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7200351Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7200356Z 
2022-11-23T01:32:30.7200464Z import triton
2022-11-23T01:32:30.7200559Z import triton.language as tl
2022-11-23T01:32:30.7200691Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7200836Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7200864Z 
2022-11-23T01:32:30.7200869Z 
2022-11-23T01:32:30.7200963Z async_compile.wait(globals())
2022-11-23T01:32:30.7201034Z del async_compile
2022-11-23T01:32:30.7201051Z 
2022-11-23T01:32:30.7201120Z def call(args):
2022-11-23T01:32:30.7201214Z     primals_1, primals_2 = args
2022-11-23T01:32:30.7201292Z     args.clear()
2022-11-23T01:32:30.7201502Z     buf0 = empty_strided((10, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7201620Z     aten.mm.out(primals_2, primals_1, out=buf0)
2022-11-23T01:32:30.7201778Z     return (buf0, as_strided(primals_2, (10, 10), (1, 10)), as_strided(primals_1, (20, 10), (1, 20)), )
2022-11-23T01:32:30.7201784Z 
2022-11-23T01:32:30.7201789Z 
2022-11-23T01:32:30.7201874Z if __name__ == "__main__":
2022-11-23T01:32:30.7201986Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7202116Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7202336Z     primals_1 = rand_strided((10, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7202543Z     primals_2 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7202678Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:30.7202684Z 
2022-11-23T01:32:30.7202688Z 
2022-11-23T01:32:30.7202791Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7202866Z import torch
2022-11-23T01:32:30.7202940Z import random
2022-11-23T01:32:30.7203054Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7203180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7203185Z 
2022-11-23T01:32:30.7203268Z aten = torch.ops.aten
2022-11-23T01:32:30.7203412Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7203509Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7203514Z 
2022-11-23T01:32:30.7203588Z import triton
2022-11-23T01:32:30.7203680Z import triton.language as tl
2022-11-23T01:32:30.7203810Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7203946Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7203951Z 
2022-11-23T01:32:30.7203962Z 
2022-11-23T01:32:30.7204048Z async_compile.wait(globals())
2022-11-23T01:32:30.7204129Z del async_compile
2022-11-23T01:32:30.7204134Z 
2022-11-23T01:32:30.7204210Z def call(args):
2022-11-23T01:32:30.7204316Z     permute, permute_1, tangents_1 = args
2022-11-23T01:32:30.7204391Z     args.clear()
2022-11-23T01:32:30.7204593Z     buf0 = empty_strided((10, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7204708Z     aten.mm.out(permute, tangents_1, out=buf0)
2022-11-23T01:32:30.7204776Z     del permute
2022-11-23T01:32:30.7204982Z     buf1 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7205098Z     aten.mm.out(tangents_1, permute_1, out=buf1)
2022-11-23T01:32:30.7205179Z     del permute_1
2022-11-23T01:32:30.7205260Z     del tangents_1
2022-11-23T01:32:30.7205345Z     return (buf0, buf1, )
2022-11-23T01:32:30.7205350Z 
2022-11-23T01:32:30.7205355Z 
2022-11-23T01:32:30.7205436Z if __name__ == "__main__":
2022-11-23T01:32:30.7205549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7205676Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7205881Z     permute = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7206087Z     permute_1 = rand_strided((20, 10), (1, 20), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7206293Z     tangents_1 = rand_strided((10, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7206438Z     print_performance(lambda: call([permute, permute_1, tangents_1]))
2022-11-23T01:32:30.7206474Z 
2022-11-23T01:32:30.7206547Z ok (0.249s)
2022-11-23T01:32:30.7206876Z   test_input_channels_last (__main__.CudaReproTests) ... [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7207221Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7207434Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7207679Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.7207948Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.7208265Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7208605Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7208927Z [2022-11-23 01:28:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7209310Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:30.7209413Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:30.7209509Z               2 BUILD_TUPLE              1
2022-11-23T01:32:30.7209585Z               4 RETURN_VALUE
2022-11-23T01:32:30.7209651Z  
2022-11-23T01:32:30.7209656Z 
2022-11-23T01:32:30.7209980Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:30.7210197Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7210444Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7210699Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7211086Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:30.7211332Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7211572Z [2022-11-23 01:28:55,582] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7211828Z [2022-11-23 01:28:55,583] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7212081Z [2022-11-23 01:28:55,587] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7212279Z [2022-11-23 01:28:55,587] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7212425Z  __compiled_fn_328 <eval_with_key>.2029 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7212521Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7212628Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.7212734Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:30.7212739Z 
2022-11-23T01:32:30.7213065Z [2022-11-23 01:28:55,588] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7213166Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7213256Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7213352Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7213482Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7213576Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7213673Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7213779Z              12 RETURN_VALUE
2022-11-23T01:32:30.7213785Z 
2022-11-23T01:32:30.7213852Z  
2022-11-23T01:32:30.7214171Z [2022-11-23 01:28:55,588] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7214296Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_328)
2022-11-23T01:32:30.7214391Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7214488Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7214571Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7214666Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7214778Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7214894Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7214983Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7215066Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7215164Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7215246Z              20 RETURN_VALUE
2022-11-23T01:32:30.7215252Z 
2022-11-23T01:32:30.7215317Z  
2022-11-23T01:32:30.7215505Z [2022-11-23 01:28:55,588] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7215581Z  - 
2022-11-23T01:32:30.7215698Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7215769Z             {
2022-11-23T01:32:30.7215917Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7216106Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7216229Z                 'obj_weakref': None
2022-11-23T01:32:30.7216456Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7216531Z             }
2022-11-23T01:32:30.7216593Z             
2022-11-23T01:32:30.7216668Z  - 
2022-11-23T01:32:30.7216797Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7216870Z             {
2022-11-23T01:32:30.7217024Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7217137Z                 'code': None,
2022-11-23T01:32:30.7217349Z                 'obj_weakref': <weakref at 0x7f20680bd1c0; to 'Tensor' at 0x7f2151ecf100>
2022-11-23T01:32:30.7217592Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7217663Z             }
2022-11-23T01:32:30.7217732Z             
2022-11-23T01:32:30.7217812Z  - 
2022-11-23T01:32:30.7217935Z             local 'model' NN_MODULE
2022-11-23T01:32:30.7218005Z             {
2022-11-23T01:32:30.7218143Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7218311Z                 'code': ['___check_obj_id(model, 139775432036688)'],
2022-11-23T01:32:30.7218536Z                 'obj_weakref': <weakref at 0x7f201e3c3790; to 'Sequential' at 0x7f2000f99150>
2022-11-23T01:32:30.7218772Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.7219032Z             }
2022-11-23T01:32:30.7219104Z             
2022-11-23T01:32:30.7219183Z  - 
2022-11-23T01:32:30.7219314Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7219376Z             {
2022-11-23T01:32:30.7219516Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7219737Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7219860Z                 'obj_weakref': None
2022-11-23T01:32:30.7220082Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7220151Z             }
2022-11-23T01:32:30.7220220Z             
2022-11-23T01:32:30.7220289Z  - 
2022-11-23T01:32:30.7220497Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.7220569Z             {
2022-11-23T01:32:30.7220695Z                 'guard_types': None,
2022-11-23T01:32:30.7220808Z                 'code': None,
2022-11-23T01:32:30.7220958Z                 'obj_weakref': None
2022-11-23T01:32:30.7221086Z                 'guarded_class': None
2022-11-23T01:32:30.7221147Z             }
2022-11-23T01:32:30.7221222Z             
2022-11-23T01:32:30.7221297Z  - 
2022-11-23T01:32:30.7221446Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.7221515Z             {
2022-11-23T01:32:30.7221640Z                 'guard_types': None,
2022-11-23T01:32:30.7221744Z                 'code': None,
2022-11-23T01:32:30.7221867Z                 'obj_weakref': None
2022-11-23T01:32:30.7221994Z                 'guarded_class': None
2022-11-23T01:32:30.7222063Z             }
2022-11-23T01:32:30.7222136Z             
2022-11-23T01:32:30.7222400Z [2022-11-23 01:28:55,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320
2022-11-23T01:32:30.7222650Z [2022-11-23 01:28:55,618] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7223008Z [2022-11-23 01:28:55,688] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfk35n4hend7o5w5cm6g7fwqcnozfulylcu5nxn3bqbbwa5twtxz.py
2022-11-23T01:32:30.7223270Z [2022-11-23 01:28:55,688] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320
2022-11-23T01:32:30.7223724Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:30.7223807Z   warnings.warn(
2022-11-23T01:32:30.7224050Z [2022-11-23 01:28:55,691] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing foo
2022-11-23T01:32:30.7224365Z [2022-11-23 01:28:55,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5122
2022-11-23T01:32:30.7224580Z [2022-11-23 01:28:55,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST m []
2022-11-23T01:32:30.7224833Z [2022-11-23 01:28:55,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [NNModuleVariable()]
2022-11-23T01:32:30.7225108Z [2022-11-23 01:28:55,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:30.7225486Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:30.7225586Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:30.7225675Z               2 BUILD_TUPLE              1
2022-11-23T01:32:30.7225758Z               4 RETURN_VALUE
2022-11-23T01:32:30.7225826Z  
2022-11-23T01:32:30.7225832Z 
2022-11-23T01:32:30.7226146Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:30.7226361Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7226615Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7226864Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7227249Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:30.7227502Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7227734Z [2022-11-23 01:28:55,695] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing foo
2022-11-23T01:32:30.7228025Z [2022-11-23 01:28:55,696] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7228267Z [2022-11-23 01:28:55,700] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7228486Z [2022-11-23 01:28:55,700] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7228629Z  __compiled_fn_329 <eval_with_key>.2040 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7228725Z placeholder, inp, inp, (), {}
2022-11-23T01:32:30.7228820Z call_module, m_0, m_0, (inp,), {}
2022-11-23T01:32:30.7228921Z output, output, output, ((m_0,),), {}
2022-11-23T01:32:30.7228926Z 
2022-11-23T01:32:30.7229253Z [2022-11-23 01:28:55,701] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE foo /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5120 
2022-11-23T01:32:30.7229353Z 5122           0 LOAD_FAST                0 (m)
2022-11-23T01:32:30.7229458Z                2 LOAD_FAST                1 (inp)
2022-11-23T01:32:30.7229558Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7229640Z                6 RETURN_VALUE
2022-11-23T01:32:30.7229645Z 
2022-11-23T01:32:30.7229711Z  
2022-11-23T01:32:30.7230046Z [2022-11-23 01:28:55,701] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE foo /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5120 
2022-11-23T01:32:30.7230163Z 5120           0 LOAD_GLOBAL              0 (__compiled_fn_329)
2022-11-23T01:32:30.7230338Z                2 LOAD_FAST                1 (inp)
2022-11-23T01:32:30.7230453Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7230567Z                6 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7230679Z                8 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7230776Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7230861Z               12 BINARY_SUBSCR
2022-11-23T01:32:30.7230955Z               14 BUILD_TUPLE              1
2022-11-23T01:32:30.7231031Z               16 RETURN_VALUE
2022-11-23T01:32:30.7231043Z 
2022-11-23T01:32:30.7231102Z  
2022-11-23T01:32:30.7231294Z [2022-11-23 01:28:55,701] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7231375Z  - 
2022-11-23T01:32:30.7231495Z             local 'm' NN_MODULE
2022-11-23T01:32:30.7231563Z             {
2022-11-23T01:32:30.7231705Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7231865Z                 'code': ['___check_obj_id(m, 139775432036688)'],
2022-11-23T01:32:30.7232090Z                 'obj_weakref': <weakref at 0x7f201e3c3790; to 'Sequential' at 0x7f2000f99150>
2022-11-23T01:32:30.7232330Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.7232400Z             }
2022-11-23T01:32:30.7232471Z             
2022-11-23T01:32:30.7232548Z  - 
2022-11-23T01:32:30.7232676Z             local 'inp' TENSOR_MATCH
2022-11-23T01:32:30.7232738Z             {
2022-11-23T01:32:30.7232888Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7233002Z                 'code': None,
2022-11-23T01:32:30.7233211Z                 'obj_weakref': <weakref at 0x7f2023229620; to 'Tensor' at 0x7f21159c2390>
2022-11-23T01:32:30.7233470Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7233540Z             }
2022-11-23T01:32:30.7233607Z             
2022-11-23T01:32:30.7233675Z  - 
2022-11-23T01:32:30.7233822Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T01:32:30.7233891Z             {
2022-11-23T01:32:30.7234015Z                 'guard_types': None,
2022-11-23T01:32:30.7234127Z                 'code': None,
2022-11-23T01:32:30.7234250Z                 'obj_weakref': None
2022-11-23T01:32:30.7234376Z                 'guarded_class': None
2022-11-23T01:32:30.7234437Z             }
2022-11-23T01:32:30.7234505Z             
2022-11-23T01:32:30.7234582Z  - 
2022-11-23T01:32:30.7234758Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T01:32:30.7234828Z             {
2022-11-23T01:32:30.7234953Z                 'guard_types': None,
2022-11-23T01:32:30.7235065Z                 'code': None,
2022-11-23T01:32:30.7235202Z                 'obj_weakref': None
2022-11-23T01:32:30.7235326Z                 'guarded_class': None
2022-11-23T01:32:30.7235395Z             }
2022-11-23T01:32:30.7235463Z             
2022-11-23T01:32:30.7235724Z [2022-11-23 01:28:55,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321
2022-11-23T01:32:30.7235973Z [2022-11-23 01:28:55,726] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7236328Z [2022-11-23 01:28:55,729] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfk35n4hend7o5w5cm6g7fwqcnozfulylcu5nxn3bqbbwa5twtxz.py
2022-11-23T01:32:30.7236598Z [2022-11-23 01:28:55,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321
2022-11-23T01:32:30.7236605Z 
2022-11-23T01:32:30.7236698Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7236774Z import torch
2022-11-23T01:32:30.7236852Z import random
2022-11-23T01:32:30.7236979Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7237108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7237113Z 
2022-11-23T01:32:30.7237198Z aten = torch.ops.aten
2022-11-23T01:32:30.7237340Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7237430Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7237443Z 
2022-11-23T01:32:30.7237511Z import triton
2022-11-23T01:32:30.7237608Z import triton.language as tl
2022-11-23T01:32:30.7237736Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7237880Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7237886Z 
2022-11-23T01:32:30.7237890Z 
2022-11-23T01:32:30.7238064Z triton_fused_convolution0 = async_compile.triton('''
2022-11-23T01:32:30.7238140Z import triton
2022-11-23T01:32:30.7238232Z import triton.language as tl
2022-11-23T01:32:30.7238340Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7238449Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7238584Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7238713Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7238719Z 
2022-11-23T01:32:30.7239095Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7239173Z @triton.jit
2022-11-23T01:32:30.7239312Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7239389Z     xnumel = 1536
2022-11-23T01:32:30.7239481Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7239615Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7239702Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7239775Z     x2 = xindex
2022-11-23T01:32:30.7239851Z     x0 = xindex % 3
2022-11-23T01:32:30.7239957Z     tmp0 = tl.load(in_out_ptr0 + (x2), xmask)
2022-11-23T01:32:30.7240059Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7240132Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7240275Z     tl.store(in_out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7240363Z ''')
2022-11-23T01:32:30.7240368Z 
2022-11-23T01:32:30.7240373Z 
2022-11-23T01:32:30.7240467Z async_compile.wait(globals())
2022-11-23T01:32:30.7240546Z del async_compile
2022-11-23T01:32:30.7240551Z 
2022-11-23T01:32:30.7240627Z def call(args):
2022-11-23T01:32:30.7240735Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:30.7240811Z     args.clear()
2022-11-23T01:32:30.7240959Z     buf0 = aten.convolution(primals_3, primals_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:30.7241111Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:32:30.7241242Z     buf1 = as_strided(buf0, (2, 3, 16, 16), (768, 1, 48, 3)); del buf0  # reuse
2022-11-23T01:32:30.7241336Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7241518Z     triton_fused_convolution0.run(buf1, primals_2, 1536, grid=grid(1536), stream=stream0)
2022-11-23T01:32:30.7241599Z     del primals_2
2022-11-23T01:32:30.7241704Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:32:30.7241709Z 
2022-11-23T01:32:30.7241714Z 
2022-11-23T01:32:30.7241795Z if __name__ == "__main__":
2022-11-23T01:32:30.7241908Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7242037Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7242259Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7242460Z     primals_2 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7242686Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7242835Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:30.7242843Z 
2022-11-23T01:32:30.7242848Z 
2022-11-23T01:32:30.7242948Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7243023Z import torch
2022-11-23T01:32:30.7243091Z import random
2022-11-23T01:32:30.7243212Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7243338Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7243343Z 
2022-11-23T01:32:30.7243428Z aten = torch.ops.aten
2022-11-23T01:32:30.7243570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7243666Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7243671Z 
2022-11-23T01:32:30.7243747Z import triton
2022-11-23T01:32:30.7243832Z import triton.language as tl
2022-11-23T01:32:30.7243960Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7244107Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7244112Z 
2022-11-23T01:32:30.7244117Z 
2022-11-23T01:32:30.7244286Z triton_fused_convolution0 = async_compile.triton('''
2022-11-23T01:32:30.7244367Z import triton
2022-11-23T01:32:30.7244459Z import triton.language as tl
2022-11-23T01:32:30.7244574Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7244679Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7244807Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7244935Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7244940Z 
2022-11-23T01:32:30.7245313Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7245388Z @triton.jit
2022-11-23T01:32:30.7245529Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7245604Z     xnumel = 1536
2022-11-23T01:32:30.7245704Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7245836Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7245916Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7245988Z     x2 = xindex
2022-11-23T01:32:30.7246064Z     x0 = xindex % 3
2022-11-23T01:32:30.7246169Z     tmp0 = tl.load(in_out_ptr0 + (x2), xmask)
2022-11-23T01:32:30.7246266Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7246346Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7246486Z     tl.store(in_out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7246565Z ''')
2022-11-23T01:32:30.7246570Z 
2022-11-23T01:32:30.7246574Z 
2022-11-23T01:32:30.7246667Z async_compile.wait(globals())
2022-11-23T01:32:30.7246746Z del async_compile
2022-11-23T01:32:30.7246751Z 
2022-11-23T01:32:30.7246827Z def call(args):
2022-11-23T01:32:30.7246935Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:30.7247043Z     args.clear()
2022-11-23T01:32:30.7247199Z     buf0 = aten.convolution(primals_3, primals_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:30.7247316Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:32:30.7247503Z     buf1 = as_strided(buf0, (2, 3, 16, 16), (768, 1, 48, 3)); del buf0  # reuse
2022-11-23T01:32:30.7247595Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7247753Z     triton_fused_convolution0.run(buf1, primals_2, 1536, grid=grid(1536), stream=stream0)
2022-11-23T01:32:30.7247831Z     del primals_2
2022-11-23T01:32:30.7247934Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:32:30.7247940Z 
2022-11-23T01:32:30.7247944Z 
2022-11-23T01:32:30.7248025Z if __name__ == "__main__":
2022-11-23T01:32:30.7248145Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7248266Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7248488Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7248689Z     primals_2 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7248910Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7249060Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:30.7249065Z 
2022-11-23T01:32:30.7249138Z ok (1.303s)
2022-11-23T01:32:30.7249465Z   test_scalar_triton_index (__main__.CudaReproTests) ... [2022-11-23 01:28:55,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:30.7249783Z [2022-11-23 01:28:55,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5372
2022-11-23T01:32:30.7250008Z [2022-11-23 01:28:55,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7250375Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7250691Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16,) [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7251047Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:30.7251437Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TensorVariable()]
2022-11-23T01:32:30.7251836Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(cuda:0)]
2022-11-23T01:32:30.7252422Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(cuda:0), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7252874Z [2022-11-23 01:28:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype') [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(cuda:0), ConstantVariable(dtype)]
2022-11-23T01:32:30.7253350Z [2022-11-23 01:28:55,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(cuda:0), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:30.7253626Z [2022-11-23 01:28:55,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST zero [TensorVariable()]
2022-11-23T01:32:30.7253940Z [2022-11-23 01:28:55,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5373
2022-11-23T01:32:30.7254178Z [2022-11-23 01:28:55,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7254422Z [2022-11-23 01:28:55,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST zero [TensorVariable()]
2022-11-23T01:32:30.7254700Z [2022-11-23 01:28:55,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7254945Z [2022-11-23 01:28:55,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7255186Z [2022-11-23 01:28:55,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7255423Z [2022-11-23 01:28:55,846] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:30.7255675Z [2022-11-23 01:28:55,846] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7255916Z [2022-11-23 01:28:55,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7256115Z [2022-11-23 01:28:55,849] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7256259Z  __compiled_fn_330 <eval_with_key>.2051 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7256349Z placeholder, a, a, (), {}
2022-11-23T01:32:30.7256669Z call_function, zeros, <built-in method zeros of type object at 0x7f209c394c60>, ((16,),), {'device': device(type='cuda', index=0), 'dtype': torch.int64}
2022-11-23T01:32:30.7256858Z call_function, getitem, <built-in function getitem>, (a, zeros), {}
2022-11-23T01:32:30.7256968Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:30.7256974Z 
2022-11-23T01:32:30.7257309Z [2022-11-23 01:28:55,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5371 
2022-11-23T01:32:30.7257416Z 5372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7257520Z                2 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:30.7257621Z                4 LOAD_CONST               1 ((16,))
2022-11-23T01:32:30.7257720Z                6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7257822Z                8 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.7257914Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7258011Z               12 LOAD_ATTR                3 (int64)
2022-11-23T01:32:30.7258181Z               14 LOAD_CONST               2 (('device', 'dtype'))
2022-11-23T01:32:30.7258283Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.7258385Z               18 STORE_FAST               1 (zero)
2022-11-23T01:32:30.7258391Z 
2022-11-23T01:32:30.7258488Z 5373          20 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7258590Z               22 LOAD_FAST                1 (zero)
2022-11-23T01:32:30.7258674Z               24 BINARY_SUBSCR
2022-11-23T01:32:30.7258764Z               26 BUILD_TUPLE              1
2022-11-23T01:32:30.7259031Z               28 RETURN_VALUE
2022-11-23T01:32:30.7259040Z 
2022-11-23T01:32:30.7259109Z  
2022-11-23T01:32:30.7259451Z [2022-11-23 01:28:55,850] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5371 
2022-11-23T01:32:30.7259568Z 5371           0 LOAD_GLOBAL              4 (__compiled_fn_330)
2022-11-23T01:32:30.7259666Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7259765Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7259880Z                6 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7259985Z                8 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7260082Z               10 LOAD_CONST               3 (0)
2022-11-23T01:32:30.7260169Z               12 BINARY_SUBSCR
2022-11-23T01:32:30.7260325Z               14 BUILD_TUPLE              1
2022-11-23T01:32:30.7260407Z               16 RETURN_VALUE
2022-11-23T01:32:30.7260413Z 
2022-11-23T01:32:30.7260479Z  
2022-11-23T01:32:30.7260726Z [2022-11-23 01:28:55,850] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7260795Z  - 
2022-11-23T01:32:30.7260919Z             local 'a' TYPE_MATCH
2022-11-23T01:32:30.7260987Z             {
2022-11-23T01:32:30.7261136Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.7261305Z                 'code': ['___check_type_id(a, 94768375983968)'],
2022-11-23T01:32:30.7261522Z                 'obj_weakref': <weakref at 0x7f2023141620; to 'Tensor' at 0x7f2115b39e40>
2022-11-23T01:32:30.7261779Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7261842Z             }
2022-11-23T01:32:30.7261911Z             
2022-11-23T01:32:30.7261987Z  - 
2022-11-23T01:32:30.7262120Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:30.7262188Z             {
2022-11-23T01:32:30.7262337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7262451Z                 'code': None,
2022-11-23T01:32:30.7262656Z                 'obj_weakref': <weakref at 0x7f2023141620; to 'Tensor' at 0x7f2115b39e40>
2022-11-23T01:32:30.7262904Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7262980Z             }
2022-11-23T01:32:30.7263050Z             
2022-11-23T01:32:30.7263125Z  - 
2022-11-23T01:32:30.7263265Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7263334Z             {
2022-11-23T01:32:30.7263453Z                 'guard_types': None,
2022-11-23T01:32:30.7263565Z                 'code': None,
2022-11-23T01:32:30.7263689Z                 'obj_weakref': None
2022-11-23T01:32:30.7263815Z                 'guarded_class': None
2022-11-23T01:32:30.7263883Z             }
2022-11-23T01:32:30.7263954Z             
2022-11-23T01:32:30.7264032Z  - 
2022-11-23T01:32:30.7264176Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:32:30.7264244Z             {
2022-11-23T01:32:30.7264392Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.7264568Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:32:30.7264692Z                 'obj_weakref': None
2022-11-23T01:32:30.7264922Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.7264993Z             }
2022-11-23T01:32:30.7265054Z             
2022-11-23T01:32:30.7265323Z [2022-11-23 01:28:55,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322
2022-11-23T01:32:30.7265578Z [2022-11-23 01:28:55,858] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7265945Z [2022-11-23 01:28:56,009] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yu/cyu75li77ntlibc4jnxbs4rcjgm6sbva4zyoedkbirq3oh3qfn7m.py
2022-11-23T01:32:30.7266215Z [2022-11-23 01:28:56,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322
2022-11-23T01:32:30.7266223Z 
2022-11-23T01:32:30.7266325Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7266401Z import torch
2022-11-23T01:32:30.7266476Z import random
2022-11-23T01:32:30.7266592Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7266721Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7266726Z 
2022-11-23T01:32:30.7266810Z aten = torch.ops.aten
2022-11-23T01:32:30.7266954Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7267051Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7267057Z 
2022-11-23T01:32:30.7267132Z import triton
2022-11-23T01:32:30.7267227Z import triton.language as tl
2022-11-23T01:32:30.7267349Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7267525Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7267531Z 
2022-11-23T01:32:30.7267536Z 
2022-11-23T01:32:30.7267695Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:30.7267798Z import triton
2022-11-23T01:32:30.7267891Z import triton.language as tl
2022-11-23T01:32:30.7268008Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7268112Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7268249Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7268371Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7268376Z 
2022-11-23T01:32:30.7268752Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7268826Z @triton.jit
2022-11-23T01:32:30.7268961Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7269039Z     xnumel = 16
2022-11-23T01:32:30.7269138Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7269271Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7269358Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7269422Z     x0 = xindex
2022-11-23T01:32:30.7269495Z     tmp0 = 0
2022-11-23T01:32:30.7269634Z     tmp1 = tl.load(in_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.7269773Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.7269859Z ''')
2022-11-23T01:32:30.7269865Z 
2022-11-23T01:32:30.7269870Z 
2022-11-23T01:32:30.7269963Z async_compile.wait(globals())
2022-11-23T01:32:30.7270042Z del async_compile
2022-11-23T01:32:30.7270047Z 
2022-11-23T01:32:30.7270122Z def call(args):
2022-11-23T01:32:30.7270190Z     arg0_1, = args
2022-11-23T01:32:30.7270333Z     args.clear()
2022-11-23T01:32:30.7270557Z     buf0 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7270654Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7270796Z     triton_fused_index0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.7270871Z     del arg0_1
2022-11-23T01:32:30.7270952Z     return (buf0, )
2022-11-23T01:32:30.7270957Z 
2022-11-23T01:32:30.7270962Z 
2022-11-23T01:32:30.7271035Z if __name__ == "__main__":
2022-11-23T01:32:30.7271154Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7271284Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7271485Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7271600Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7271605Z 
2022-11-23T01:32:30.7271678Z ok (0.279s)
2022-11-23T01:32:30.7272005Z   test_sort_stride_issue (__main__.CudaReproTests) ... [2022-11-23 01:28:56,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:32:30.7272323Z [2022-11-23 01:28:56,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5354
2022-11-23T01:32:30.7272570Z [2022-11-23 01:28:56,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST pred_objectness_logits_3_ []
2022-11-23T01:32:30.7272816Z [2022-11-23 01:28:56,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TensorVariable()]
2022-11-23T01:32:30.7273097Z [2022-11-23 01:28:56,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [GetAttrVariable(TensorVariable(), sort)]
2022-11-23T01:32:30.7273407Z [2022-11-23 01:28:56,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sort), ConstantVariable(bool)]
2022-11-23T01:32:30.7273780Z [2022-11-23 01:28:56,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('descending', 'dim') [GetAttrVariable(TensorVariable(), sort), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:30.7274225Z [2022-11-23 01:28:56,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), sort), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.7274484Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sort_3 [NamedTupleVariable()]
2022-11-23T01:32:30.7274817Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5355
2022-11-23T01:32:30.7275037Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sort_3 []
2022-11-23T01:32:30.7275289Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [NamedTupleVariable()]
2022-11-23T01:32:30.7275592Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [NamedTupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7275844Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem_12 [TensorVariable()]
2022-11-23T01:32:30.7276165Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5356
2022-11-23T01:32:30.7276399Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_12 []
2022-11-23T01:32:30.7276649Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7276894Z [2022-11-23 01:28:56,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:32:30.7277143Z [2022-11-23 01:28:56,125] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:30.7277390Z [2022-11-23 01:28:56,128] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:30.7277585Z [2022-11-23 01:28:56,128] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7277729Z  __compiled_fn_331 <eval_with_key>.2057 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7277875Z placeholder, pred_objectness_logits_3_, pred_objectness_logits_3_, (), {}
2022-11-23T01:32:30.7278096Z call_method, sort, sort, (pred_objectness_logits_3_,), {'descending': True, 'dim': 1}
2022-11-23T01:32:30.7278291Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:32:30.7278399Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:30.7278405Z 
2022-11-23T01:32:30.7278745Z [2022-11-23 01:28:56,128] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5352 
2022-11-23T01:32:30.7278875Z 5354           0 LOAD_FAST                0 (pred_objectness_logits_3_)
2022-11-23T01:32:30.7278980Z                2 LOAD_ATTR                0 (sort)
2022-11-23T01:32:30.7279076Z                4 LOAD_CONST               1 (True)
2022-11-23T01:32:30.7279165Z                6 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7279343Z                8 LOAD_CONST               3 (('descending', 'dim'))
2022-11-23T01:32:30.7279445Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.7279549Z               12 STORE_FAST               1 (sort_3)
2022-11-23T01:32:30.7279557Z 
2022-11-23T01:32:30.7279659Z 5355          14 LOAD_FAST                1 (sort_3)
2022-11-23T01:32:30.7279755Z               16 LOAD_CONST               4 (0)
2022-11-23T01:32:30.7279839Z               18 BINARY_SUBSCR
2022-11-23T01:32:30.7279948Z               20 STORE_FAST               2 (getitem_12)
2022-11-23T01:32:30.7279953Z 
2022-11-23T01:32:30.7280053Z 5356          22 LOAD_FAST                2 (getitem_12)
2022-11-23T01:32:30.7280133Z               24 RETURN_VALUE
2022-11-23T01:32:30.7280138Z 
2022-11-23T01:32:30.7280205Z  
2022-11-23T01:32:30.7280534Z [2022-11-23 01:28:56,128] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5352 
2022-11-23T01:32:30.7280684Z 5352           0 LOAD_GLOBAL              1 (__compiled_fn_331)
2022-11-23T01:32:30.7280815Z                2 LOAD_FAST                0 (pred_objectness_logits_3_)
2022-11-23T01:32:30.7280913Z                4 CALL_FUNCTION            1
2022-11-23T01:32:30.7281036Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7281110Z                8 RETURN_VALUE
2022-11-23T01:32:30.7281115Z 
2022-11-23T01:32:30.7281181Z  
2022-11-23T01:32:30.7281368Z [2022-11-23 01:28:56,129] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7281446Z  - 
2022-11-23T01:32:30.7281626Z             local 'pred_objectness_logits_3_' TENSOR_MATCH
2022-11-23T01:32:30.7281696Z             {
2022-11-23T01:32:30.7281843Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7281948Z                 'code': None,
2022-11-23T01:32:30.7282161Z                 'obj_weakref': <weakref at 0x7f2022f12890; to 'Tensor' at 0x7f2068080180>
2022-11-23T01:32:30.7282418Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7282491Z             }
2022-11-23T01:32:30.7282560Z             
2022-11-23T01:32:30.7282820Z [2022-11-23 01:28:56,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323
2022-11-23T01:32:30.7283042Z [2022-11-23 01:28:56,134] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:32:30.7283259Z [2022-11-23 01:28:56,134] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2022-11-23T01:32:30.7283612Z [2022-11-23 01:28:56,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i7/ci73fhheqqxn6xe2zf5nizr5ietxq6ntkheukkcfcb3pozq5b4dw.py
2022-11-23T01:32:30.7283879Z [2022-11-23 01:28:56,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323
2022-11-23T01:32:30.7283884Z 
2022-11-23T01:32:30.7283988Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7284062Z import torch
2022-11-23T01:32:30.7284141Z import random
2022-11-23T01:32:30.7284261Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7284388Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7284397Z 
2022-11-23T01:32:30.7284480Z aten = torch.ops.aten
2022-11-23T01:32:30.7284613Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7284711Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7284716Z 
2022-11-23T01:32:30.7284793Z import triton
2022-11-23T01:32:30.7284887Z import triton.language as tl
2022-11-23T01:32:30.7285014Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7285158Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7285163Z 
2022-11-23T01:32:30.7285168Z 
2022-11-23T01:32:30.7285261Z async_compile.wait(globals())
2022-11-23T01:32:30.7285340Z del async_compile
2022-11-23T01:32:30.7285345Z 
2022-11-23T01:32:30.7285414Z def call(args):
2022-11-23T01:32:30.7285494Z     arg0_1, = args
2022-11-23T01:32:30.7285573Z     args.clear()
2022-11-23T01:32:30.7285667Z     buf0 = aten.sort(arg0_1, 1, True)
2022-11-23T01:32:30.7285740Z     del arg0_1
2022-11-23T01:32:30.7285815Z     buf1 = buf0[0]
2022-11-23T01:32:30.7285925Z     assert_size_stride(buf1, (1, 100), (100, 1))
2022-11-23T01:32:30.7285989Z     del buf0
2022-11-23T01:32:30.7286066Z     return (buf1, )
2022-11-23T01:32:30.7286071Z 
2022-11-23T01:32:30.7286076Z 
2022-11-23T01:32:30.7286159Z if __name__ == "__main__":
2022-11-23T01:32:30.7286279Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7286407Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7286613Z     arg0_1 = rand_strided((1, 100), (0, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7286728Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7286733Z 
2022-11-23T01:32:30.7286806Z ok (0.127s)
2022-11-23T01:32:30.7287182Z   test_unspec_inputs_interop (__main__.CudaReproTests) ... [2022-11-23 01:28:56,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:30.7287547Z [2022-11-23 01:28:57,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f5/cf5hiismf64erqzygrwl67hpmbwzehgda4avcjvsgexy24kfkvkt.py
2022-11-23T01:32:30.7287821Z [2022-11-23 01:28:57,761] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:30.7288088Z [2022-11-23 01:28:57,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:30.7288093Z 
2022-11-23T01:32:30.7288194Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7288269Z import torch
2022-11-23T01:32:30.7288345Z import random
2022-11-23T01:32:30.7288465Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7288584Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7288589Z 
2022-11-23T01:32:30.7288673Z aten = torch.ops.aten
2022-11-23T01:32:30.7288816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7288915Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7288920Z 
2022-11-23T01:32:30.7288995Z import triton
2022-11-23T01:32:30.7289090Z import triton.language as tl
2022-11-23T01:32:30.7289221Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7289366Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7289372Z 
2022-11-23T01:32:30.7289376Z 
2022-11-23T01:32:30.7289508Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:30.7289724Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:30.7289849Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:30.7289953Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:30.7290022Z {
2022-11-23T01:32:30.7290088Z     {
2022-11-23T01:32:30.7290161Z         {
2022-11-23T01:32:30.7290245Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:30.7290355Z             auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:30.7290447Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:30.7290532Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:30.7290604Z         }
2022-11-23T01:32:30.7290674Z     }
2022-11-23T01:32:30.7290741Z }
2022-11-23T01:32:30.7290819Z ''')
2022-11-23T01:32:30.7290824Z 
2022-11-23T01:32:30.7290828Z 
2022-11-23T01:32:30.7290922Z async_compile.wait(globals())
2022-11-23T01:32:30.7291000Z del async_compile
2022-11-23T01:32:30.7291005Z 
2022-11-23T01:32:30.7291086Z def call(args):
2022-11-23T01:32:30.7291166Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.7291243Z     args.clear()
2022-11-23T01:32:30.7291432Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.7291567Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:30.7291642Z     del arg1_1
2022-11-23T01:32:30.7291769Z     return (as_strided(arg0_1, (12, 3, 512, 1, 64), (64, 196608, 768, 0, 1)), buf0, )
2022-11-23T01:32:30.7291778Z 
2022-11-23T01:32:30.7291783Z 
2022-11-23T01:32:30.7291865Z if __name__ == "__main__":
2022-11-23T01:32:30.7291989Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7292121Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7292355Z     arg0_1 = rand_strided((12, 3, 512, 64), (64, 196608, 768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7292544Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:30.7292665Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.7292670Z 
2022-11-23T01:32:30.7292736Z ok (1.515s)
2022-11-23T01:32:30.7293047Z   test_abs_cuda (__main__.CudaTests) ... [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7293372Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7293631Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7293893Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7294200Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7294524Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7294875Z [2022-11-23 01:28:57,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7295202Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7295582Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664> 
2022-11-23T01:32:30.7295675Z  665           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7295782Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7295881Z               4 LOAD_METHOD              1 (abs)
2022-11-23T01:32:30.7295979Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7296074Z               8 CALL_METHOD              1
2022-11-23T01:32:30.7296172Z              10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7296250Z              12 BINARY_ADD
2022-11-23T01:32:30.7296333Z              14 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.7296430Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.7296516Z              18 RETURN_VALUE
2022-11-23T01:32:30.7296583Z  
2022-11-23T01:32:30.7296588Z 
2022-11-23T01:32:30.7296911Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665
2022-11-23T01:32:30.7297129Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7297388Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.7297785Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7298134Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7298507Z [2022-11-23 01:28:57,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7298925Z [2022-11-23 01:28:57,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7299243Z [2022-11-23 01:28:57,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7299536Z [2022-11-23 01:28:57,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7299782Z [2022-11-23 01:28:57,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7300036Z [2022-11-23 01:28:57,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7300414Z [2022-11-23 01:28:57,768] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664>
2022-11-23T01:32:30.7300715Z [2022-11-23 01:28:57,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7300959Z [2022-11-23 01:28:57,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7301246Z [2022-11-23 01:28:57,769] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7301494Z [2022-11-23 01:28:57,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7301692Z [2022-11-23 01:28:57,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7301834Z  __compiled_fn_332 <eval_with_key>.2064 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7301934Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7302166Z call_function, abs_1, <built-in method abs of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.7302347Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T01:32:30.7302546Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T01:32:30.7302655Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:30.7302661Z 
2022-11-23T01:32:30.7302993Z [2022-11-23 01:28:57,772] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7303091Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7303190Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7303283Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7303384Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7303477Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7303572Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7303655Z              12 RETURN_VALUE
2022-11-23T01:32:30.7303660Z 
2022-11-23T01:32:30.7303719Z  
2022-11-23T01:32:30.7304045Z [2022-11-23 01:28:57,772] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7304165Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_332)
2022-11-23T01:32:30.7304261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7304362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7304446Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7304540Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7304653Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7304757Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7304855Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7304938Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7305033Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7305115Z              20 RETURN_VALUE
2022-11-23T01:32:30.7305120Z 
2022-11-23T01:32:30.7305188Z  
2022-11-23T01:32:30.7305380Z [2022-11-23 01:28:57,773] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7305450Z  - 
2022-11-23T01:32:30.7305577Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7305646Z             {
2022-11-23T01:32:30.7305796Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7305992Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7306119Z                 'obj_weakref': None
2022-11-23T01:32:30.7306349Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7306413Z             }
2022-11-23T01:32:30.7306482Z             
2022-11-23T01:32:30.7306559Z  - 
2022-11-23T01:32:30.7306689Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7306759Z             {
2022-11-23T01:32:30.7306908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7307021Z                 'code': None,
2022-11-23T01:32:30.7307228Z                 'obj_weakref': <weakref at 0x7f202320ab10; to 'Tensor' at 0x7f2068080180>
2022-11-23T01:32:30.7307522Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7307592Z             }
2022-11-23T01:32:30.7307663Z             
2022-11-23T01:32:30.7307763Z  - 
2022-11-23T01:32:30.7307900Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7307971Z             {
2022-11-23T01:32:30.7308106Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7308283Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7308409Z                 'obj_weakref': None
2022-11-23T01:32:30.7308647Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7308719Z             }
2022-11-23T01:32:30.7308788Z             
2022-11-23T01:32:30.7308865Z  - 
2022-11-23T01:32:30.7308986Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7309056Z             {
2022-11-23T01:32:30.7309204Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7309425Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7309554Z                 'obj_weakref': None
2022-11-23T01:32:30.7309786Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7309856Z             }
2022-11-23T01:32:30.7309918Z             
2022-11-23T01:32:30.7309997Z  - 
2022-11-23T01:32:30.7310137Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7310208Z             {
2022-11-23T01:32:30.7310417Z                 'guard_types': None,
2022-11-23T01:32:30.7310548Z                 'code': None,
2022-11-23T01:32:30.7310673Z                 'obj_weakref': None
2022-11-23T01:32:30.7310793Z                 'guarded_class': None
2022-11-23T01:32:30.7310864Z             }
2022-11-23T01:32:30.7310934Z             
2022-11-23T01:32:30.7311203Z [2022-11-23 01:28:57,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324
2022-11-23T01:32:30.7311453Z [2022-11-23 01:28:57,782] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7311820Z [2022-11-23 01:28:57,939] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zj/czjcaqfgp5bi4fareicjrejsvmwzxi7ewfatr2m3d2jrgbpafa6w.py
2022-11-23T01:32:30.7312090Z [2022-11-23 01:28:57,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324
2022-11-23T01:32:30.7312358Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7312687Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7312910Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7313169Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7313448Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7313773Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7314116Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7314443Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7314818Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664> 
2022-11-23T01:32:30.7314949Z  665           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7315052Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7315146Z               4 LOAD_METHOD              1 (abs)
2022-11-23T01:32:30.7315269Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7315364Z               8 CALL_METHOD              1
2022-11-23T01:32:30.7315461Z              10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7315542Z              12 BINARY_ADD
2022-11-23T01:32:30.7315632Z              14 BINARY_TRUE_DIVIDE
2022-11-23T01:32:30.7315731Z              16 BUILD_TUPLE              1
2022-11-23T01:32:30.7315806Z              18 RETURN_VALUE
2022-11-23T01:32:30.7315874Z  
2022-11-23T01:32:30.7315879Z 
2022-11-23T01:32:30.7316191Z [2022-11-23 01:28:57,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665
2022-11-23T01:32:30.7316411Z [2022-11-23 01:28:57,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7316667Z [2022-11-23 01:28:57,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.7317062Z [2022-11-23 01:28:57,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7317406Z [2022-11-23 01:28:57,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7317783Z [2022-11-23 01:28:57,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7318048Z [2022-11-23 01:28:57,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7318358Z [2022-11-23 01:28:57,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7318635Z [2022-11-23 01:28:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7318884Z [2022-11-23 01:28:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7319135Z [2022-11-23 01:28:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7319516Z [2022-11-23 01:28:57,945] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f409d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664>
2022-11-23T01:32:30.7319767Z [2022-11-23 01:28:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7320009Z [2022-11-23 01:28:57,946] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7320273Z [2022-11-23 01:28:57,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7320528Z [2022-11-23 01:28:57,949] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7320727Z [2022-11-23 01:28:57,950] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7320863Z  __compiled_fn_333 <eval_with_key>.2070 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7320961Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7321192Z call_function, abs_1, <built-in method abs of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.7321372Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T01:32:30.7321569Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T01:32:30.7321676Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:30.7321682Z 
2022-11-23T01:32:30.7322049Z [2022-11-23 01:28:57,950] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7322150Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7322273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7322371Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7322473Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7322565Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7322662Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7322744Z              12 RETURN_VALUE
2022-11-23T01:32:30.7322750Z 
2022-11-23T01:32:30.7322815Z  
2022-11-23T01:32:30.7323144Z [2022-11-23 01:28:57,950] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7323254Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_333)
2022-11-23T01:32:30.7323357Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7323453Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7323536Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7323631Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7323747Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7323856Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7323946Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7324027Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7324122Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7324201Z              20 RETURN_VALUE
2022-11-23T01:32:30.7324207Z 
2022-11-23T01:32:30.7324274Z  
2022-11-23T01:32:30.7324463Z [2022-11-23 01:28:57,951] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7324542Z  - 
2022-11-23T01:32:30.7324659Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7324732Z             {
2022-11-23T01:32:30.7324881Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7325075Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7325202Z                 'obj_weakref': None
2022-11-23T01:32:30.7325434Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7325506Z             }
2022-11-23T01:32:30.7325576Z             
2022-11-23T01:32:30.7325645Z  - 
2022-11-23T01:32:30.7325775Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7325844Z             {
2022-11-23T01:32:30.7325994Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7326108Z                 'code': None,
2022-11-23T01:32:30.7326324Z                 'obj_weakref': <weakref at 0x7f20601efb50; to 'Tensor' at 0x7f2023143740>
2022-11-23T01:32:30.7326578Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7326641Z             }
2022-11-23T01:32:30.7326714Z             
2022-11-23T01:32:30.7326790Z  - 
2022-11-23T01:32:30.7326927Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7326997Z             {
2022-11-23T01:32:30.7327139Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7327311Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7327436Z                 'obj_weakref': None
2022-11-23T01:32:30.7327672Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7327741Z             }
2022-11-23T01:32:30.7327811Z             
2022-11-23T01:32:30.7327886Z  - 
2022-11-23T01:32:30.7328015Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7328077Z             {
2022-11-23T01:32:30.7328222Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7328443Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7328568Z                 'obj_weakref': None
2022-11-23T01:32:30.7328832Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7328904Z             }
2022-11-23T01:32:30.7328973Z             
2022-11-23T01:32:30.7329064Z  - 
2022-11-23T01:32:30.7329204Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7329273Z             {
2022-11-23T01:32:30.7329400Z                 'guard_types': None,
2022-11-23T01:32:30.7329513Z                 'code': None,
2022-11-23T01:32:30.7329637Z                 'obj_weakref': None
2022-11-23T01:32:30.7329764Z                 'guarded_class': None
2022-11-23T01:32:30.7329826Z             }
2022-11-23T01:32:30.7329895Z             
2022-11-23T01:32:30.7330163Z [2022-11-23 01:28:57,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325
2022-11-23T01:32:30.7330419Z [2022-11-23 01:28:57,960] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7330780Z [2022-11-23 01:28:58,021] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5e/c5eojzx5jsz3t4m5752qfkc4sbwylah2sjxudvpywghoqui5whfu.py
2022-11-23T01:32:30.7331053Z [2022-11-23 01:28:58,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325
2022-11-23T01:32:30.7331066Z 
2022-11-23T01:32:30.7331167Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7331244Z import torch
2022-11-23T01:32:30.7331312Z import random
2022-11-23T01:32:30.7331435Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7331564Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7331569Z 
2022-11-23T01:32:30.7331654Z aten = torch.ops.aten
2022-11-23T01:32:30.7331795Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7331897Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7331903Z 
2022-11-23T01:32:30.7331978Z import triton
2022-11-23T01:32:30.7332072Z import triton.language as tl
2022-11-23T01:32:30.7332197Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7332344Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7332349Z 
2022-11-23T01:32:30.7332354Z 
2022-11-23T01:32:30.7332532Z triton_fused_div_abs_1_add0 = async_compile.triton('''
2022-11-23T01:32:30.7332609Z import triton
2022-11-23T01:32:30.7332702Z import triton.language as tl
2022-11-23T01:32:30.7332821Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7332926Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7333055Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7333185Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7333190Z 
2022-11-23T01:32:30.7333561Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7333635Z @triton.jit
2022-11-23T01:32:30.7333773Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7333856Z     xnumel = 17
2022-11-23T01:32:30.7333961Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7334099Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7334177Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7334251Z     x0 = xindex
2022-11-23T01:32:30.7334351Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7334433Z     tmp1 = tl.abs(tmp0)
2022-11-23T01:32:30.7334506Z     tmp2 = 1
2022-11-23T01:32:30.7334589Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.7334667Z     tmp4 = tmp0 / tmp3
2022-11-23T01:32:30.7334799Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.7334887Z ''')
2022-11-23T01:32:30.7334892Z 
2022-11-23T01:32:30.7334896Z 
2022-11-23T01:32:30.7334993Z async_compile.wait(globals())
2022-11-23T01:32:30.7335074Z del async_compile
2022-11-23T01:32:30.7335079Z 
2022-11-23T01:32:30.7335192Z def call(args):
2022-11-23T01:32:30.7335267Z     arg0_1, = args
2022-11-23T01:32:30.7335345Z     args.clear()
2022-11-23T01:32:30.7335545Z     buf0 = empty_strided((17, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7335652Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7335800Z     triton_fused_div_abs_1_add0.run(arg0_1, buf0, 17, grid=grid(17), stream=stream0)
2022-11-23T01:32:30.7335875Z     del arg0_1
2022-11-23T01:32:30.7335953Z     return (buf0, )
2022-11-23T01:32:30.7335958Z 
2022-11-23T01:32:30.7335962Z 
2022-11-23T01:32:30.7336043Z if __name__ == "__main__":
2022-11-23T01:32:30.7336164Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7336294Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7336488Z     arg0_1 = rand_strided((17, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7336602Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7336607Z 
2022-11-23T01:32:30.7336612Z 
2022-11-23T01:32:30.7336719Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7336793Z import torch
2022-11-23T01:32:30.7336870Z import random
2022-11-23T01:32:30.7336992Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7337120Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7337126Z 
2022-11-23T01:32:30.7337208Z aten = torch.ops.aten
2022-11-23T01:32:30.7337341Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7337437Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7337442Z 
2022-11-23T01:32:30.7337517Z import triton
2022-11-23T01:32:30.7337613Z import triton.language as tl
2022-11-23T01:32:30.7337741Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7337885Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7337891Z 
2022-11-23T01:32:30.7337895Z 
2022-11-23T01:32:30.7338066Z triton_fused_abs_1_div_add0 = async_compile.triton('''
2022-11-23T01:32:30.7338142Z import triton
2022-11-23T01:32:30.7338231Z import triton.language as tl
2022-11-23T01:32:30.7338348Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7338453Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7338594Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7338723Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7338729Z 
2022-11-23T01:32:30.7339294Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7339371Z @triton.jit
2022-11-23T01:32:30.7339508Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7339576Z     xnumel = 17
2022-11-23T01:32:30.7339681Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7339815Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7339903Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7339979Z     x0 = xindex
2022-11-23T01:32:30.7340099Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7340187Z     tmp1 = tl.abs(tmp0)
2022-11-23T01:32:30.7340255Z     tmp2 = 1
2022-11-23T01:32:30.7340337Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:30.7340418Z     tmp4 = tmp0 / tmp3
2022-11-23T01:32:30.7340555Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.7340643Z ''')
2022-11-23T01:32:30.7340649Z 
2022-11-23T01:32:30.7340653Z 
2022-11-23T01:32:30.7340749Z async_compile.wait(globals())
2022-11-23T01:32:30.7340827Z del async_compile
2022-11-23T01:32:30.7340832Z 
2022-11-23T01:32:30.7340901Z def call(args):
2022-11-23T01:32:30.7340977Z     arg0_1, = args
2022-11-23T01:32:30.7341053Z     args.clear()
2022-11-23T01:32:30.7341246Z     buf0 = empty_strided((17, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7341341Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7341541Z     triton_fused_abs_1_div_add0.run(arg0_1, buf0, 17, grid=grid(17), stream=stream0)
2022-11-23T01:32:30.7341618Z     del arg0_1
2022-11-23T01:32:30.7341691Z     return (buf0, )
2022-11-23T01:32:30.7341709Z 
2022-11-23T01:32:30.7341740Z 
2022-11-23T01:32:30.7341815Z if __name__ == "__main__":
2022-11-23T01:32:30.7341936Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7342066Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7342268Z     arg0_1 = rand_strided((17, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7342380Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7342385Z 
2022-11-23T01:32:30.7342462Z ok (0.261s)
2022-11-23T01:32:30.7342790Z   test_adaptive_avg_pool2d1_cuda (__main__.CudaTests) ... [2022-11-23 01:28:58,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7343115Z [2022-11-23 01:28:58,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7343329Z [2022-11-23 01:28:58,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7343589Z [2022-11-23 01:28:58,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7343873Z [2022-11-23 01:28:58,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7344197Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7344541Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7344859Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7345234Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:30.7345341Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7345464Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7345562Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7345657Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:30.7345755Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7345855Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7345976Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7345981Z 
2022-11-23T01:32:30.7346077Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7346175Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7346258Z               18 BINARY_ADD
2022-11-23T01:32:30.7346351Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:30.7346362Z 
2022-11-23T01:32:30.7346450Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:30.7346554Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.7346637Z               26 RETURN_VALUE
2022-11-23T01:32:30.7346704Z  
2022-11-23T01:32:30.7346709Z 
2022-11-23T01:32:30.7347026Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7347252Z [2022-11-23 01:28:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7347589Z [2022-11-23 01:28:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7347902Z [2022-11-23 01:28:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7348210Z [2022-11-23 01:28:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7348582Z [2022-11-23 01:28:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7348828Z [2022-11-23 01:28:58,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.7349181Z [2022-11-23 01:28:58,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7349491Z [2022-11-23 01:28:58,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:30.7349798Z [2022-11-23 01:28:58,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7350124Z [2022-11-23 01:28:58,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7350591Z [2022-11-23 01:28:58,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7350923Z [2022-11-23 01:28:58,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7351236Z [2022-11-23 01:28:58,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7351609Z [2022-11-23 01:28:58,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7351882Z [2022-11-23 01:28:58,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7352128Z [2022-11-23 01:28:58,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7352505Z [2022-11-23 01:28:58,040] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:30.7352752Z [2022-11-23 01:28:58,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7352991Z [2022-11-23 01:28:58,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7353250Z [2022-11-23 01:28:58,041] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7353510Z [2022-11-23 01:28:58,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7353706Z [2022-11-23 01:28:58,044] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7353852Z  __compiled_fn_334 <eval_with_key>.2076 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7353952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7354104Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:30.7354283Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7354441Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:30.7354594Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:30.7354599Z 
2022-11-23T01:32:30.7354926Z [2022-11-23 01:28:58,045] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7355060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7355161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7355256Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7355373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7355467Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7355562Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7355645Z              12 RETURN_VALUE
2022-11-23T01:32:30.7355651Z 
2022-11-23T01:32:30.7355716Z  
2022-11-23T01:32:30.7356036Z [2022-11-23 01:28:58,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7356155Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_334)
2022-11-23T01:32:30.7356254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7356344Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7356430Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7356527Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7356640Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7356754Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7356852Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7356935Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7357038Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7357135Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7357217Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7357310Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.7357392Z              26 RETURN_VALUE
2022-11-23T01:32:30.7357397Z 
2022-11-23T01:32:30.7357464Z  
2022-11-23T01:32:30.7357654Z [2022-11-23 01:28:58,045] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7357723Z  - 
2022-11-23T01:32:30.7357846Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7357919Z             {
2022-11-23T01:32:30.7358066Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7358257Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7358384Z                 'obj_weakref': None
2022-11-23T01:32:30.7358613Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7358676Z             }
2022-11-23T01:32:30.7358747Z             
2022-11-23T01:32:30.7358827Z  - 
2022-11-23T01:32:30.7358957Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7359028Z             {
2022-11-23T01:32:30.7359176Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7359291Z                 'code': None,
2022-11-23T01:32:30.7359496Z                 'obj_weakref': <weakref at 0x7f201e20ea20; to 'Tensor' at 0x7f20682ac450>
2022-11-23T01:32:30.7359751Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7359820Z             }
2022-11-23T01:32:30.7359890Z             
2022-11-23T01:32:30.7359969Z  - 
2022-11-23T01:32:30.7360106Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7360179Z             {
2022-11-23T01:32:30.7360312Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7360488Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7360613Z                 'obj_weakref': None
2022-11-23T01:32:30.7367469Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7367561Z             }
2022-11-23T01:32:30.7367632Z             
2022-11-23T01:32:30.7367727Z  - 
2022-11-23T01:32:30.7367853Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7367925Z             {
2022-11-23T01:32:30.7368072Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7368355Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7368484Z                 'obj_weakref': None
2022-11-23T01:32:30.7368710Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7368803Z             }
2022-11-23T01:32:30.7368865Z             
2022-11-23T01:32:30.7368943Z  - 
2022-11-23T01:32:30.7369081Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7369151Z             {
2022-11-23T01:32:30.7369276Z                 'guard_types': None,
2022-11-23T01:32:30.7369388Z                 'code': None,
2022-11-23T01:32:30.7369513Z                 'obj_weakref': None
2022-11-23T01:32:30.7369632Z                 'guarded_class': None
2022-11-23T01:32:30.7369702Z             }
2022-11-23T01:32:30.7369771Z             
2022-11-23T01:32:30.7370036Z [2022-11-23 01:28:58,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326
2022-11-23T01:32:30.7370289Z [2022-11-23 01:28:58,068] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:30.7370539Z [2022-11-23 01:28:58,295] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7370790Z [2022-11-23 01:28:58,414] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7370795Z 
2022-11-23T01:32:30.7370899Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7370967Z import torch
2022-11-23T01:32:30.7371043Z import random
2022-11-23T01:32:30.7371167Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7371298Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7371303Z 
2022-11-23T01:32:30.7371389Z aten = torch.ops.aten
2022-11-23T01:32:30.7371532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7371631Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7371636Z 
2022-11-23T01:32:30.7371704Z import triton
2022-11-23T01:32:30.7371800Z import triton.language as tl
2022-11-23T01:32:30.7371933Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7372079Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7372085Z 
2022-11-23T01:32:30.7372093Z 
2022-11-23T01:32:30.7372284Z triton_fused__adaptive_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.7372361Z import triton
2022-11-23T01:32:30.7372456Z import triton.language as tl
2022-11-23T01:32:30.7372575Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7372672Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7372809Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7372940Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7372945Z 
2022-11-23T01:32:30.7373321Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7373402Z @triton.jit
2022-11-23T01:32:30.7373537Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7373613Z     xnumel = 288
2022-11-23T01:32:30.7373713Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7373841Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7373928Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7374013Z     x1 = (xindex // 6) % 6
2022-11-23T01:32:30.7374089Z     x0 = xindex % 6
2022-11-23T01:32:30.7374172Z     x2 = (xindex // 36)
2022-11-23T01:32:30.7374245Z     x4 = xindex
2022-11-23T01:32:30.7374323Z     tmp0 = ((8*x1) // 3)
2022-11-23T01:32:30.7374401Z     tmp1 = ((21 + (16*x1)) // 6)
2022-11-23T01:32:30.7374483Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7374563Z     tmp3 = ((8*x0) // 3)
2022-11-23T01:32:30.7374647Z     tmp4 = ((21 + (16*x0)) // 6)
2022-11-23T01:32:30.7374727Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7374806Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7375049Z     tmp7 = tl.load(in_ptr0 + ((16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:30.7375144Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:30.7375252Z     tmp9 = 1 + (((8*x0) // 3))
2022-11-23T01:32:30.7375333Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:30.7375418Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:30.7375598Z     tmp12 = tl.load(in_ptr0 + (1 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:30.7375698Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:30.7375779Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:30.7375854Z     tmp15 = 2 + (((8*x0) // 3))
2022-11-23T01:32:30.7375936Z     tmp16 = tmp15 < tmp4
2022-11-23T01:32:30.7376019Z     tmp17 = tmp2 & tmp16
2022-11-23T01:32:30.7376196Z     tmp18 = tl.load(in_ptr0 + (2 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:30.7376296Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.7376382Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:30.7376465Z     tmp21 = 3 + (((8*x0) // 3))
2022-11-23T01:32:30.7376539Z     tmp22 = tmp21 < tmp4
2022-11-23T01:32:30.7376625Z     tmp23 = tmp2 & tmp22
2022-11-23T01:32:30.7376798Z     tmp24 = tl.load(in_ptr0 + (3 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0)
2022-11-23T01:32:30.7376894Z     tmp25 = tl.where(tmp23, tmp24, 0.0)
2022-11-23T01:32:30.7376977Z     tmp26 = tmp25 + tmp20
2022-11-23T01:32:30.7377058Z     tmp27 = 1 + (((8*x1) // 3))
2022-11-23T01:32:30.7377140Z     tmp28 = tmp27 < tmp1
2022-11-23T01:32:30.7377212Z     tmp29 = tmp28 & tmp5
2022-11-23T01:32:30.7377388Z     tmp30 = tl.load(in_ptr0 + (16 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp29, other=0)
2022-11-23T01:32:30.7377485Z     tmp31 = tl.where(tmp29, tmp30, 0.0)
2022-11-23T01:32:30.7377567Z     tmp32 = tmp31 + tmp26
2022-11-23T01:32:30.7377655Z     tmp33 = tmp28 & tmp10
2022-11-23T01:32:30.7377829Z     tmp34 = tl.load(in_ptr0 + (17 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0)
2022-11-23T01:32:30.7377931Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.7378013Z     tmp36 = tmp35 + tmp32
2022-11-23T01:32:30.7378086Z     tmp37 = tmp28 & tmp16
2022-11-23T01:32:30.7378257Z     tmp38 = tl.load(in_ptr0 + (18 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:30.7378354Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.7378434Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.7378514Z     tmp41 = tmp28 & tmp22
2022-11-23T01:32:30.7378681Z     tmp42 = tl.load(in_ptr0 + (19 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0)
2022-11-23T01:32:30.7378999Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.7379078Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.7379159Z     tmp45 = 2 + (((8*x1) // 3))
2022-11-23T01:32:30.7379239Z     tmp46 = tmp45 < tmp1
2022-11-23T01:32:30.7379318Z     tmp47 = tmp46 & tmp5
2022-11-23T01:32:30.7379487Z     tmp48 = tl.load(in_ptr0 + (32 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp47, other=0)
2022-11-23T01:32:30.7379584Z     tmp49 = tl.where(tmp47, tmp48, 0.0)
2022-11-23T01:32:30.7379665Z     tmp50 = tmp49 + tmp44
2022-11-23T01:32:30.7379736Z     tmp51 = tmp46 & tmp10
2022-11-23T01:32:30.7379901Z     tmp52 = tl.load(in_ptr0 + (33 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp51, other=0)
2022-11-23T01:32:30.7379996Z     tmp53 = tl.where(tmp51, tmp52, 0.0)
2022-11-23T01:32:30.7380076Z     tmp54 = tmp53 + tmp50
2022-11-23T01:32:30.7380156Z     tmp55 = tmp46 & tmp16
2022-11-23T01:32:30.7380371Z     tmp56 = tl.load(in_ptr0 + (34 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp55, other=0)
2022-11-23T01:32:30.7380468Z     tmp57 = tl.where(tmp55, tmp56, 0.0)
2022-11-23T01:32:30.7380549Z     tmp58 = tmp57 + tmp54
2022-11-23T01:32:30.7380621Z     tmp59 = tmp46 & tmp22
2022-11-23T01:32:30.7380814Z     tmp60 = tl.load(in_ptr0 + (35 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp59, other=0)
2022-11-23T01:32:30.7380910Z     tmp61 = tl.where(tmp59, tmp60, 0.0)
2022-11-23T01:32:30.7380991Z     tmp62 = tmp61 + tmp58
2022-11-23T01:32:30.7381076Z     tmp63 = 3 + (((8*x1) // 3))
2022-11-23T01:32:30.7381155Z     tmp64 = tmp63 < tmp1
2022-11-23T01:32:30.7381235Z     tmp65 = tmp64 & tmp5
2022-11-23T01:32:30.7381391Z     tmp66 = tl.load(in_ptr0 + (48 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp65, other=0)
2022-11-23T01:32:30.7381488Z     tmp67 = tl.where(tmp65, tmp66, 0.0)
2022-11-23T01:32:30.7381569Z     tmp68 = tmp67 + tmp62
2022-11-23T01:32:30.7381649Z     tmp69 = tmp64 & tmp10
2022-11-23T01:32:30.7381817Z     tmp70 = tl.load(in_ptr0 + (49 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp69, other=0)
2022-11-23T01:32:30.7381912Z     tmp71 = tl.where(tmp69, tmp70, 0.0)
2022-11-23T01:32:30.7381994Z     tmp72 = tmp71 + tmp68
2022-11-23T01:32:30.7382075Z     tmp73 = tmp64 & tmp16
2022-11-23T01:32:30.7382230Z     tmp74 = tl.load(in_ptr0 + (50 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp73, other=0)
2022-11-23T01:32:30.7382327Z     tmp75 = tl.where(tmp73, tmp74, 0.0)
2022-11-23T01:32:30.7382407Z     tmp76 = tmp75 + tmp72
2022-11-23T01:32:30.7382486Z     tmp77 = tmp64 & tmp22
2022-11-23T01:32:30.7382648Z     tmp78 = tl.load(in_ptr0 + (51 + (16*(((8*x1) // 3))) + (256*x2) + (((8*x0) // 3)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp77, other=0)
2022-11-23T01:32:30.7382745Z     tmp79 = tl.where(tmp77, tmp78, 0.0)
2022-11-23T01:32:30.7382825Z     tmp80 = tmp79 + tmp76
2022-11-23T01:32:30.7382892Z     tmp81 = 1
2022-11-23T01:32:30.7382990Z     tmp82 = tl.where(tmp6, tmp81, 0.0)
2022-11-23T01:32:30.7383061Z     tmp83 = 1
2022-11-23T01:32:30.7383156Z     tmp84 = tl.where(tmp11, tmp83, 0.0)
2022-11-23T01:32:30.7383240Z     tmp85 = tmp84 + tmp82
2022-11-23T01:32:30.7383311Z     tmp86 = 1
2022-11-23T01:32:30.7383405Z     tmp87 = tl.where(tmp17, tmp86, 0.0)
2022-11-23T01:32:30.7383477Z     tmp88 = tmp87 + tmp85
2022-11-23T01:32:30.7383550Z     tmp89 = 1
2022-11-23T01:32:30.7383644Z     tmp90 = tl.where(tmp23, tmp89, 0.0)
2022-11-23T01:32:30.7383724Z     tmp91 = tmp90 + tmp88
2022-11-23T01:32:30.7383798Z     tmp92 = 1
2022-11-23T01:32:30.7383891Z     tmp93 = tl.where(tmp29, tmp92, 0.0)
2022-11-23T01:32:30.7383971Z     tmp94 = tmp93 + tmp91
2022-11-23T01:32:30.7384036Z     tmp95 = 1
2022-11-23T01:32:30.7384128Z     tmp96 = tl.where(tmp33, tmp95, 0.0)
2022-11-23T01:32:30.7384209Z     tmp97 = tmp96 + tmp94
2022-11-23T01:32:30.7384280Z     tmp98 = 1
2022-11-23T01:32:30.7384376Z     tmp99 = tl.where(tmp37, tmp98, 0.0)
2022-11-23T01:32:30.7384458Z     tmp100 = tmp99 + tmp97
2022-11-23T01:32:30.7384525Z     tmp101 = 1
2022-11-23T01:32:30.7384629Z     tmp102 = tl.where(tmp41, tmp101, 0.0)
2022-11-23T01:32:30.7384715Z     tmp103 = tmp102 + tmp100
2022-11-23T01:32:30.7384788Z     tmp104 = 1
2022-11-23T01:32:30.7384890Z     tmp105 = tl.where(tmp47, tmp104, 0.0)
2022-11-23T01:32:30.7384973Z     tmp106 = tmp105 + tmp103
2022-11-23T01:32:30.7385047Z     tmp107 = 1
2022-11-23T01:32:30.7385137Z     tmp108 = tl.where(tmp51, tmp107, 0.0)
2022-11-23T01:32:30.7385219Z     tmp109 = tmp108 + tmp106
2022-11-23T01:32:30.7385292Z     tmp110 = 1
2022-11-23T01:32:30.7385389Z     tmp111 = tl.where(tmp55, tmp110, 0.0)
2022-11-23T01:32:30.7385472Z     tmp112 = tmp111 + tmp109
2022-11-23T01:32:30.7385547Z     tmp113 = 1
2022-11-23T01:32:30.7385643Z     tmp114 = tl.where(tmp59, tmp113, 0.0)
2022-11-23T01:32:30.7385717Z     tmp115 = tmp114 + tmp112
2022-11-23T01:32:30.7385790Z     tmp116 = 1
2022-11-23T01:32:30.7385916Z     tmp117 = tl.where(tmp65, tmp116, 0.0)
2022-11-23T01:32:30.7385999Z     tmp118 = tmp117 + tmp115
2022-11-23T01:32:30.7386072Z     tmp119 = 1
2022-11-23T01:32:30.7386168Z     tmp120 = tl.where(tmp69, tmp119, 0.0)
2022-11-23T01:32:30.7386276Z     tmp121 = tmp120 + tmp118
2022-11-23T01:32:30.7386342Z     tmp122 = 1
2022-11-23T01:32:30.7386438Z     tmp123 = tl.where(tmp73, tmp122, 0.0)
2022-11-23T01:32:30.7386519Z     tmp124 = tmp123 + tmp121
2022-11-23T01:32:30.7386594Z     tmp125 = 1
2022-11-23T01:32:30.7386690Z     tmp126 = tl.where(tmp77, tmp125, 0.0)
2022-11-23T01:32:30.7386772Z     tmp127 = tmp126 + tmp124
2022-11-23T01:32:30.7386847Z     tmp128 = tmp80 / tmp127
2022-11-23T01:32:30.7386985Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp128, xmask)
2022-11-23T01:32:30.7387084Z ''')
2022-11-23T01:32:30.7387090Z 
2022-11-23T01:32:30.7387094Z 
2022-11-23T01:32:30.7387251Z triton_fused_add1 = async_compile.triton('''
2022-11-23T01:32:30.7387326Z import triton
2022-11-23T01:32:30.7387425Z import triton.language as tl
2022-11-23T01:32:30.7387542Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7387643Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7387772Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7387905Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7387911Z 
2022-11-23T01:32:30.7388288Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7388361Z @triton.jit
2022-11-23T01:32:30.7388495Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7388572Z     xnumel = 2048
2022-11-23T01:32:30.7388670Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7388804Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7388881Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7388958Z     x0 = xindex
2022-11-23T01:32:30.7389056Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7389127Z     tmp1 = 1
2022-11-23T01:32:30.7389208Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7389346Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7389435Z ''')
2022-11-23T01:32:30.7389441Z 
2022-11-23T01:32:30.7389445Z 
2022-11-23T01:32:30.7389532Z async_compile.wait(globals())
2022-11-23T01:32:30.7389611Z del async_compile
2022-11-23T01:32:30.7389616Z 
2022-11-23T01:32:30.7389692Z def call(args):
2022-11-23T01:32:30.7389765Z     arg0_1, = args
2022-11-23T01:32:30.7389841Z     args.clear()
2022-11-23T01:32:30.7390060Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7390151Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7390375Z     triton_fused__adaptive_avg_pool2d0.run(arg0_1, buf0, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:30.7390632Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7390791Z     triton_fused_add1.run(arg0_1, buf1, 2048, grid=grid(2048), stream=stream0)
2022-11-23T01:32:30.7390864Z     del arg0_1
2022-11-23T01:32:30.7390986Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2022-11-23T01:32:30.7391057Z     del buf1
2022-11-23T01:32:30.7391130Z     buf3 = buf2
2022-11-23T01:32:30.7391238Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2022-11-23T01:32:30.7391308Z     del buf2
2022-11-23T01:32:30.7391390Z     return (buf0, buf3, )
2022-11-23T01:32:30.7391395Z 
2022-11-23T01:32:30.7391400Z 
2022-11-23T01:32:30.7391482Z if __name__ == "__main__":
2022-11-23T01:32:30.7391603Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7391734Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7391959Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7392106Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7392471Z [2022-11-23 01:28:58,804] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckd5d5hxt6npmbbfqrzxqazraezwjmc2tvjbclz7ifrtdv72fsp2.py
2022-11-23T01:32:30.7392767Z [2022-11-23 01:28:58,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326
2022-11-23T01:32:30.7393010Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7393328Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7393550Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7393809Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7394091Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7394411Z [2022-11-23 01:28:58,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7394758Z [2022-11-23 01:28:58,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7395078Z [2022-11-23 01:28:58,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7395454Z [2022-11-23 01:28:58,808] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:30.7395551Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7395674Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7395774Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7395878Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:30.7395974Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7396080Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7396201Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7396208Z 
2022-11-23T01:32:30.7396304Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7396392Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7396470Z               18 BINARY_ADD
2022-11-23T01:32:30.7396571Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:30.7396576Z 
2022-11-23T01:32:30.7396670Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:30.7396764Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.7396847Z               26 RETURN_VALUE
2022-11-23T01:32:30.7396913Z  
2022-11-23T01:32:30.7396918Z 
2022-11-23T01:32:30.7397231Z [2022-11-23 01:28:58,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7397457Z [2022-11-23 01:28:58,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7397794Z [2022-11-23 01:28:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7398073Z [2022-11-23 01:28:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7398386Z [2022-11-23 01:28:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7398736Z [2022-11-23 01:28:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7399017Z [2022-11-23 01:28:58,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.7399379Z [2022-11-23 01:28:58,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7399716Z [2022-11-23 01:28:58,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:30.7400021Z [2022-11-23 01:28:58,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7400354Z [2022-11-23 01:28:58,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7400724Z [2022-11-23 01:28:58,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7401060Z [2022-11-23 01:28:58,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7401381Z [2022-11-23 01:28:58,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7401757Z [2022-11-23 01:28:58,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7402029Z [2022-11-23 01:28:58,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7402292Z [2022-11-23 01:28:58,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7402717Z [2022-11-23 01:28:58,822] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:30.7402971Z [2022-11-23 01:28:58,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7403209Z [2022-11-23 01:28:58,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7403467Z [2022-11-23 01:28:58,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7403723Z [2022-11-23 01:28:58,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7403911Z [2022-11-23 01:28:58,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7404058Z  __compiled_fn_335 <eval_with_key>.2082 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7404153Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7404314Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:30.7404493Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7404651Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:30.7404804Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:30.7404809Z 
2022-11-23T01:32:30.7405139Z [2022-11-23 01:28:58,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7405232Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7405328Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7405423Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7405524Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7405614Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7405738Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7405823Z              12 RETURN_VALUE
2022-11-23T01:32:30.7405829Z 
2022-11-23T01:32:30.7405896Z  
2022-11-23T01:32:30.7406211Z [2022-11-23 01:28:58,827] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7406352Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_335)
2022-11-23T01:32:30.7406453Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7406554Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7406636Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7406728Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7406839Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7406942Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7407040Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7407125Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7407234Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7407331Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7407416Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7407508Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.7407582Z              26 RETURN_VALUE
2022-11-23T01:32:30.7407597Z 
2022-11-23T01:32:30.7407656Z  
2022-11-23T01:32:30.7407845Z [2022-11-23 01:28:58,828] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7407921Z  - 
2022-11-23T01:32:30.7408047Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7408116Z             {
2022-11-23T01:32:30.7408263Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7408458Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7408575Z                 'obj_weakref': None
2022-11-23T01:32:30.7408806Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7408876Z             }
2022-11-23T01:32:30.7408944Z             
2022-11-23T01:32:30.7409020Z  - 
2022-11-23T01:32:30.7409150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7409215Z             {
2022-11-23T01:32:30.7409363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7409476Z                 'code': None,
2022-11-23T01:32:30.7409692Z                 'obj_weakref': <weakref at 0x7f20726e4220; to 'Tensor' at 0x7f20682ac450>
2022-11-23T01:32:30.7409950Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7410020Z             }
2022-11-23T01:32:30.7410088Z             
2022-11-23T01:32:30.7410164Z  - 
2022-11-23T01:32:30.7410293Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7410362Z             {
2022-11-23T01:32:30.7410502Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7410684Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7410809Z                 'obj_weakref': None
2022-11-23T01:32:30.7411045Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7411117Z             }
2022-11-23T01:32:30.7411178Z             
2022-11-23T01:32:30.7411255Z  - 
2022-11-23T01:32:30.7411385Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7411453Z             {
2022-11-23T01:32:30.7411596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7411818Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7411942Z                 'obj_weakref': None
2022-11-23T01:32:30.7412162Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7412231Z             }
2022-11-23T01:32:30.7412300Z             
2022-11-23T01:32:30.7412376Z  - 
2022-11-23T01:32:30.7412546Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7412616Z             {
2022-11-23T01:32:30.7412735Z                 'guard_types': None,
2022-11-23T01:32:30.7412845Z                 'code': None,
2022-11-23T01:32:30.7412997Z                 'obj_weakref': None
2022-11-23T01:32:30.7413125Z                 'guarded_class': None
2022-11-23T01:32:30.7413194Z             }
2022-11-23T01:32:30.7413262Z             
2022-11-23T01:32:30.7413529Z [2022-11-23 01:28:58,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327
2022-11-23T01:32:30.7413775Z [2022-11-23 01:28:58,978] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7414027Z [2022-11-23 01:28:59,017] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7414385Z [2022-11-23 01:28:59,256] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nt/cntymu4ji6rb4n53a2li62ogg56gw5vqqa2qi73rtum3xa7mltz3.py
2022-11-23T01:32:30.7414660Z [2022-11-23 01:28:59,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327
2022-11-23T01:32:30.7414903Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7415227Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7415449Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7415706Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7415986Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7416309Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7416652Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7416979Z [2022-11-23 01:28:59,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7417355Z [2022-11-23 01:28:59,260] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:30.7417458Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7417580Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7417677Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7417779Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:30.7417875Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7417979Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7418091Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7418097Z 
2022-11-23T01:32:30.7418196Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7418292Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7418371Z               18 BINARY_ADD
2022-11-23T01:32:30.7418473Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:30.7418478Z 
2022-11-23T01:32:30.7418572Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:30.7418667Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.7418748Z               26 RETURN_VALUE
2022-11-23T01:32:30.7418995Z  
2022-11-23T01:32:30.7419000Z 
2022-11-23T01:32:30.7419324Z [2022-11-23 01:28:59,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7419607Z [2022-11-23 01:28:59,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7419948Z [2022-11-23 01:28:59,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7420253Z [2022-11-23 01:28:59,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7420566Z [2022-11-23 01:28:59,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7420917Z [2022-11-23 01:28:59,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7421163Z [2022-11-23 01:28:59,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.7421517Z [2022-11-23 01:28:59,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7421831Z [2022-11-23 01:28:59,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:30.7422128Z [2022-11-23 01:28:59,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7422455Z [2022-11-23 01:28:59,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7422832Z [2022-11-23 01:28:59,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7423165Z [2022-11-23 01:28:59,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7423476Z [2022-11-23 01:28:59,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7423853Z [2022-11-23 01:28:59,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7424120Z [2022-11-23 01:28:59,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7424366Z [2022-11-23 01:28:59,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7424739Z [2022-11-23 01:28:59,274] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:30.7424986Z [2022-11-23 01:28:59,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7425221Z [2022-11-23 01:28:59,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7425476Z [2022-11-23 01:28:59,275] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7425727Z [2022-11-23 01:28:59,278] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7425923Z [2022-11-23 01:28:59,278] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7426064Z  __compiled_fn_336 <eval_with_key>.2088 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7426159Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7426319Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:30.7426494Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7426677Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:30.7426822Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:30.7426834Z 
2022-11-23T01:32:30.7427176Z [2022-11-23 01:28:59,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7427277Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7427375Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7427471Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7427571Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7427663Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7427757Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7427832Z              12 RETURN_VALUE
2022-11-23T01:32:30.7427838Z 
2022-11-23T01:32:30.7427904Z  
2022-11-23T01:32:30.7428229Z [2022-11-23 01:28:59,279] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7428348Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_336)
2022-11-23T01:32:30.7428449Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7428547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7428632Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7428725Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7428830Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7428937Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7429032Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7429114Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7429223Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7429319Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7429405Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7429492Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.7429573Z              26 RETURN_VALUE
2022-11-23T01:32:30.7429578Z 
2022-11-23T01:32:30.7429643Z  
2022-11-23T01:32:30.7429839Z [2022-11-23 01:28:59,279] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7429916Z  - 
2022-11-23T01:32:30.7430041Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7430111Z             {
2022-11-23T01:32:30.7430317Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7430540Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7430667Z                 'obj_weakref': None
2022-11-23T01:32:30.7430894Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7430963Z             }
2022-11-23T01:32:30.7431033Z             
2022-11-23T01:32:30.7431107Z  - 
2022-11-23T01:32:30.7431229Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7431301Z             {
2022-11-23T01:32:30.7431451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7431566Z                 'code': None,
2022-11-23T01:32:30.7431777Z                 'obj_weakref': <weakref at 0x7f20606cebb0; to 'Tensor' at 0x7f201e20db70>
2022-11-23T01:32:30.7432035Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7432104Z             }
2022-11-23T01:32:30.7432165Z             
2022-11-23T01:32:30.7432241Z  - 
2022-11-23T01:32:30.7432378Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7432447Z             {
2022-11-23T01:32:30.7432588Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7432764Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7432891Z                 'obj_weakref': None
2022-11-23T01:32:30.7433115Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7433218Z             }
2022-11-23T01:32:30.7433289Z             
2022-11-23T01:32:30.7433367Z  - 
2022-11-23T01:32:30.7433494Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7433588Z             {
2022-11-23T01:32:30.7433735Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7433949Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7434072Z                 'obj_weakref': None
2022-11-23T01:32:30.7434295Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7434364Z             }
2022-11-23T01:32:30.7434433Z             
2022-11-23T01:32:30.7434509Z  - 
2022-11-23T01:32:30.7434644Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7434705Z             {
2022-11-23T01:32:30.7434830Z                 'guard_types': None,
2022-11-23T01:32:30.7434943Z                 'code': None,
2022-11-23T01:32:30.7435069Z                 'obj_weakref': None
2022-11-23T01:32:30.7435198Z                 'guarded_class': None
2022-11-23T01:32:30.7435266Z             }
2022-11-23T01:32:30.7435334Z             
2022-11-23T01:32:30.7435591Z [2022-11-23 01:28:59,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328
2022-11-23T01:32:30.7435844Z [2022-11-23 01:28:59,387] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7436090Z [2022-11-23 01:28:59,416] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7436096Z 
2022-11-23T01:32:30.7436100Z 
2022-11-23T01:32:30.7436204Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7436280Z import torch
2022-11-23T01:32:30.7436354Z import random
2022-11-23T01:32:30.7436478Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7436607Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7436612Z 
2022-11-23T01:32:30.7436688Z aten = torch.ops.aten
2022-11-23T01:32:30.7436830Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7436927Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7436933Z 
2022-11-23T01:32:30.7437010Z import triton
2022-11-23T01:32:30.7437108Z import triton.language as tl
2022-11-23T01:32:30.7437234Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7437379Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7437385Z 
2022-11-23T01:32:30.7437389Z 
2022-11-23T01:32:30.7437578Z triton_fused__adaptive_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.7437646Z import triton
2022-11-23T01:32:30.7437741Z import triton.language as tl
2022-11-23T01:32:30.7437856Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7437960Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7438095Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7438225Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7438234Z 
2022-11-23T01:32:30.7438610Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7438687Z @triton.jit
2022-11-23T01:32:30.7438818Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7438894Z     xnumel = 288
2022-11-23T01:32:30.7438993Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7439125Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7439213Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7439297Z     x1 = (xindex // 6) % 6
2022-11-23T01:32:30.7439372Z     x0 = xindex % 6
2022-11-23T01:32:30.7439446Z     x2 = (xindex // 36)
2022-11-23T01:32:30.7439517Z     x4 = xindex
2022-11-23T01:32:30.7439593Z     tmp0 = (x1 // 2)
2022-11-23T01:32:30.7439676Z     tmp1 = ((8 + (3*x1)) // 6)
2022-11-23T01:32:30.7439787Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7439863Z     tmp3 = (x0 // 2)
2022-11-23T01:32:30.7439937Z     tmp4 = ((8 + (3*x0)) // 6)
2022-11-23T01:32:30.7440016Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7440093Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7440286Z     tmp7 = tl.load(in_ptr0 + ((3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:30.7440386Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:30.7440464Z     tmp9 = 1 + (x0 // 2)
2022-11-23T01:32:30.7440544Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:30.7440618Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:30.7440789Z     tmp12 = tl.load(in_ptr0 + (1 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:30.7440885Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:30.7440966Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:30.7441046Z     tmp15 = 1 + (x1 // 2)
2022-11-23T01:32:30.7441127Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:30.7441209Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:30.7441372Z     tmp18 = tl.load(in_ptr0 + (3 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:30.7441466Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.7441548Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:30.7441629Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:30.7441797Z     tmp22 = tl.load(in_ptr0 + (4 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:30.7441894Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:30.7441974Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:30.7442047Z     tmp25 = 1
2022-11-23T01:32:30.7442137Z     tmp26 = tl.where(tmp6, tmp25, 0.0)
2022-11-23T01:32:30.7442209Z     tmp27 = 1
2022-11-23T01:32:30.7442306Z     tmp28 = tl.where(tmp11, tmp27, 0.0)
2022-11-23T01:32:30.7442387Z     tmp29 = tmp28 + tmp26
2022-11-23T01:32:30.7442460Z     tmp30 = 1
2022-11-23T01:32:30.7442557Z     tmp31 = tl.where(tmp17, tmp30, 0.0)
2022-11-23T01:32:30.7442640Z     tmp32 = tmp31 + tmp29
2022-11-23T01:32:30.7442705Z     tmp33 = 1
2022-11-23T01:32:30.7442797Z     tmp34 = tl.where(tmp21, tmp33, 0.0)
2022-11-23T01:32:30.7442878Z     tmp35 = tmp34 + tmp32
2022-11-23T01:32:30.7442961Z     tmp36 = tmp24 / tmp35
2022-11-23T01:32:30.7443100Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp36, xmask)
2022-11-23T01:32:30.7443191Z ''')
2022-11-23T01:32:30.7443196Z 
2022-11-23T01:32:30.7443201Z 
2022-11-23T01:32:30.7443398Z triton_fused_add__adaptive_avg_pool2d_11 = async_compile.triton('''
2022-11-23T01:32:30.7443467Z import triton
2022-11-23T01:32:30.7443561Z import triton.language as tl
2022-11-23T01:32:30.7443680Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7443783Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7443920Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7444048Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7444054Z 
2022-11-23T01:32:30.7444430Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7444505Z @triton.jit
2022-11-23T01:32:30.7444633Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7444709Z     xnumel = 80
2022-11-23T01:32:30.7444808Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7444939Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7445024Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7445106Z     x1 = (xindex // 5) % 2
2022-11-23T01:32:30.7445182Z     x0 = xindex % 5
2022-11-23T01:32:30.7445254Z     x2 = (xindex // 10)
2022-11-23T01:32:30.7445326Z     x4 = xindex
2022-11-23T01:32:30.7445404Z     tmp0 = ((3*x1) // 2)
2022-11-23T01:32:30.7445486Z     tmp1 = 2 + (((3*x1) // 2))
2022-11-23T01:32:30.7445566Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7445672Z     tmp3 = ((3*x0) // 5)
2022-11-23T01:32:30.7445753Z     tmp4 = ((7 + (3*x0)) // 5)
2022-11-23T01:32:30.7445825Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7445904Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7446108Z     tmp7 = tl.load(in_ptr0 + ((3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:30.7446179Z     tmp8 = 1
2022-11-23T01:32:30.7446260Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:30.7446357Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:30.7446440Z     tmp11 = 1 + (((3*x0) // 5))
2022-11-23T01:32:30.7446514Z     tmp12 = tmp11 < tmp4
2022-11-23T01:32:30.7446595Z     tmp13 = tmp2 & tmp12
2022-11-23T01:32:30.7446771Z     tmp14 = tl.load(in_ptr0 + (1 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0)
2022-11-23T01:32:30.7446844Z     tmp15 = 1
2022-11-23T01:32:30.7446925Z     tmp16 = tmp14 + tmp15
2022-11-23T01:32:30.7447020Z     tmp17 = tl.where(tmp13, tmp16, 0.0)
2022-11-23T01:32:30.7447106Z     tmp18 = tmp17 + tmp10
2022-11-23T01:32:30.7447181Z     tmp19 = 1 + (((3*x1) // 2))
2022-11-23T01:32:30.7447260Z     tmp20 = tmp19 < tmp1
2022-11-23T01:32:30.7447339Z     tmp21 = tmp20 & tmp5
2022-11-23T01:32:30.7447512Z     tmp22 = tl.load(in_ptr0 + (3 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:30.7447584Z     tmp23 = 1
2022-11-23T01:32:30.7447665Z     tmp24 = tmp22 + tmp23
2022-11-23T01:32:30.7447760Z     tmp25 = tl.where(tmp21, tmp24, 0.0)
2022-11-23T01:32:30.7447833Z     tmp26 = tmp25 + tmp18
2022-11-23T01:32:30.7447913Z     tmp27 = tmp20 & tmp12
2022-11-23T01:32:30.7448075Z     tmp28 = tl.load(in_ptr0 + (4 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0)
2022-11-23T01:32:30.7448150Z     tmp29 = 1
2022-11-23T01:32:30.7448230Z     tmp30 = tmp28 + tmp29
2022-11-23T01:32:30.7448328Z     tmp31 = tl.where(tmp27, tmp30, 0.0)
2022-11-23T01:32:30.7448410Z     tmp32 = tmp31 + tmp26
2022-11-23T01:32:30.7448475Z     tmp33 = 1
2022-11-23T01:32:30.7448571Z     tmp34 = tl.where(tmp6, tmp33, 0.0)
2022-11-23T01:32:30.7448642Z     tmp35 = 1
2022-11-23T01:32:30.7448741Z     tmp36 = tl.where(tmp13, tmp35, 0.0)
2022-11-23T01:32:30.7448820Z     tmp37 = tmp36 + tmp34
2022-11-23T01:32:30.7448892Z     tmp38 = 1
2022-11-23T01:32:30.7448986Z     tmp39 = tl.where(tmp21, tmp38, 0.0)
2022-11-23T01:32:30.7449058Z     tmp40 = tmp39 + tmp37
2022-11-23T01:32:30.7449132Z     tmp41 = 1
2022-11-23T01:32:30.7449224Z     tmp42 = tl.where(tmp27, tmp41, 0.0)
2022-11-23T01:32:30.7449303Z     tmp43 = tmp42 + tmp40
2022-11-23T01:32:30.7449384Z     tmp44 = tmp32 / tmp43
2022-11-23T01:32:30.7449527Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp44, xmask)
2022-11-23T01:32:30.7449612Z ''')
2022-11-23T01:32:30.7449624Z 
2022-11-23T01:32:30.7449629Z 
2022-11-23T01:32:30.7449717Z async_compile.wait(globals())
2022-11-23T01:32:30.7449794Z del async_compile
2022-11-23T01:32:30.7449803Z 
2022-11-23T01:32:30.7449880Z def call(args):
2022-11-23T01:32:30.7449953Z     arg0_1, = args
2022-11-23T01:32:30.7450028Z     args.clear()
2022-11-23T01:32:30.7450250Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7450346Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7450499Z     triton_fused__adaptive_avg_pool2d0.run(arg0_1, buf0, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:30.7450714Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7450880Z     triton_fused_add__adaptive_avg_pool2d_11.run(arg0_1, buf1, 80, grid=grid(80), stream=stream0)
2022-11-23T01:32:30.7450955Z     del arg0_1
2022-11-23T01:32:30.7451037Z     return (buf0, buf1, )
2022-11-23T01:32:30.7451043Z 
2022-11-23T01:32:30.7451047Z 
2022-11-23T01:32:30.7451128Z if __name__ == "__main__":
2022-11-23T01:32:30.7451248Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7451407Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7451615Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7451752Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7451757Z 
2022-11-23T01:32:30.7452125Z [2022-11-23 01:28:59,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yguvv7k3tnsucftjqba5gj57ofiqs3gw4srjejsfzn3v7gafqp.py
2022-11-23T01:32:30.7452398Z [2022-11-23 01:28:59,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328
2022-11-23T01:32:30.7452642Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7452960Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7453186Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7453446Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7453729Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7454060Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7454401Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7454726Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7455107Z [2022-11-23 01:28:59,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:30.7455210Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7455332Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7455433Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7455535Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:30.7455632Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7455732Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7455844Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7455849Z 
2022-11-23T01:32:30.7455948Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7456042Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7456121Z               18 BINARY_ADD
2022-11-23T01:32:30.7456222Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:30.7456227Z 
2022-11-23T01:32:30.7456328Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:30.7456423Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.7456497Z               26 RETURN_VALUE
2022-11-23T01:32:30.7456567Z  
2022-11-23T01:32:30.7456572Z 
2022-11-23T01:32:30.7456891Z [2022-11-23 01:28:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7457114Z [2022-11-23 01:28:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7457448Z [2022-11-23 01:28:59,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7457725Z [2022-11-23 01:28:59,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7458065Z [2022-11-23 01:28:59,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7458415Z [2022-11-23 01:28:59,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7458685Z [2022-11-23 01:28:59,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.7459338Z [2022-11-23 01:28:59,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7459660Z [2022-11-23 01:28:59,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:30.7459957Z [2022-11-23 01:28:59,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7460294Z [2022-11-23 01:28:59,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7460667Z [2022-11-23 01:28:59,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7461002Z [2022-11-23 01:28:59,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7461316Z [2022-11-23 01:28:59,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7461695Z [2022-11-23 01:28:59,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7461968Z [2022-11-23 01:28:59,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7462220Z [2022-11-23 01:28:59,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7462598Z [2022-11-23 01:28:59,608] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:30.7462843Z [2022-11-23 01:28:59,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7463079Z [2022-11-23 01:28:59,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7463328Z [2022-11-23 01:28:59,609] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7463578Z [2022-11-23 01:28:59,612] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7463775Z [2022-11-23 01:28:59,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7463917Z  __compiled_fn_337 <eval_with_key>.2094 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7464019Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7464175Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:30.7464352Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7464505Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:30.7464649Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:30.7464654Z 
2022-11-23T01:32:30.7464976Z [2022-11-23 01:28:59,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7465077Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7465234Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7465330Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7465431Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7465524Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7465653Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7465727Z              12 RETURN_VALUE
2022-11-23T01:32:30.7465733Z 
2022-11-23T01:32:30.7465801Z  
2022-11-23T01:32:30.7466127Z [2022-11-23 01:28:59,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7466244Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_337)
2022-11-23T01:32:30.7466341Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7466439Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7466523Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7466617Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7466725Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7466836Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7466933Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7467022Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7467131Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7467226Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7467310Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7467396Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.7467479Z              26 RETURN_VALUE
2022-11-23T01:32:30.7467484Z 
2022-11-23T01:32:30.7467551Z  
2022-11-23T01:32:30.7467738Z [2022-11-23 01:28:59,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7467814Z  - 
2022-11-23T01:32:30.7467941Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7468010Z             {
2022-11-23T01:32:30.7468148Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7468341Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7468467Z                 'obj_weakref': None
2022-11-23T01:32:30.7468693Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7468770Z             }
2022-11-23T01:32:30.7468839Z             
2022-11-23T01:32:30.7468915Z  - 
2022-11-23T01:32:30.7469036Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7469105Z             {
2022-11-23T01:32:30.7469251Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7469367Z                 'code': None,
2022-11-23T01:32:30.7469580Z                 'obj_weakref': <weakref at 0x7f20233c82c0; to 'Tensor' at 0x7f20601c05e0>
2022-11-23T01:32:30.7469833Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7469902Z             }
2022-11-23T01:32:30.7469965Z             
2022-11-23T01:32:30.7470046Z  - 
2022-11-23T01:32:30.7470184Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7470329Z             {
2022-11-23T01:32:30.7470492Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7470690Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7470819Z                 'obj_weakref': None
2022-11-23T01:32:30.7471043Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7471114Z             }
2022-11-23T01:32:30.7471187Z             
2022-11-23T01:32:30.7471266Z  - 
2022-11-23T01:32:30.7471394Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7471465Z             {
2022-11-23T01:32:30.7471607Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7471825Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7471951Z                 'obj_weakref': None
2022-11-23T01:32:30.7472215Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7472302Z             }
2022-11-23T01:32:30.7472373Z             
2022-11-23T01:32:30.7472519Z  - 
2022-11-23T01:32:30.7472656Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7472718Z             {
2022-11-23T01:32:30.7472845Z                 'guard_types': None,
2022-11-23T01:32:30.7472957Z                 'code': None,
2022-11-23T01:32:30.7473082Z                 'obj_weakref': None
2022-11-23T01:32:30.7473211Z                 'guarded_class': None
2022-11-23T01:32:30.7473279Z             }
2022-11-23T01:32:30.7473348Z             
2022-11-23T01:32:30.7473601Z [2022-11-23 01:28:59,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329
2022-11-23T01:32:30.7473849Z [2022-11-23 01:28:59,737] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7474099Z [2022-11-23 01:28:59,796] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7474104Z 
2022-11-23T01:32:30.7474205Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7474280Z import torch
2022-11-23T01:32:30.7474360Z import random
2022-11-23T01:32:30.7474486Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7474606Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7474619Z 
2022-11-23T01:32:30.7474697Z aten = torch.ops.aten
2022-11-23T01:32:30.7474835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7474933Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7474938Z 
2022-11-23T01:32:30.7475015Z import triton
2022-11-23T01:32:30.7475108Z import triton.language as tl
2022-11-23T01:32:30.7475235Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7475380Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7475386Z 
2022-11-23T01:32:30.7475390Z 
2022-11-23T01:32:30.7475578Z triton_fused__adaptive_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.7475648Z import triton
2022-11-23T01:32:30.7475742Z import triton.language as tl
2022-11-23T01:32:30.7475859Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7475966Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7476101Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7476228Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7476234Z 
2022-11-23T01:32:30.7476605Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7476673Z @triton.jit
2022-11-23T01:32:30.7476810Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7476885Z     xnumel = 288
2022-11-23T01:32:30.7476984Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7477122Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7477209Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7477292Z     x1 = (xindex // 6) % 6
2022-11-23T01:32:30.7477360Z     x0 = xindex % 6
2022-11-23T01:32:30.7477444Z     x2 = (xindex // 36)
2022-11-23T01:32:30.7477516Z     x4 = xindex
2022-11-23T01:32:30.7477591Z     tmp0 = (x1 // 2)
2022-11-23T01:32:30.7477675Z     tmp1 = ((8 + (3*x1)) // 6)
2022-11-23T01:32:30.7477756Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7477831Z     tmp3 = (x0 // 2)
2022-11-23T01:32:30.7477904Z     tmp4 = ((8 + (3*x0)) // 6)
2022-11-23T01:32:30.7477984Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7478065Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7478250Z     tmp7 = tl.load(in_ptr0 + ((3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:30.7478349Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:30.7478432Z     tmp9 = 1 + (x0 // 2)
2022-11-23T01:32:30.7478543Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:30.7478619Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:30.7478802Z     tmp12 = tl.load(in_ptr0 + (1 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0).to(tl.float32)
2022-11-23T01:32:30.7478921Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:30.7479003Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:30.7479084Z     tmp15 = 1 + (x1 // 2)
2022-11-23T01:32:30.7479164Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:30.7479241Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:30.7479416Z     tmp18 = tl.load(in_ptr0 + (3 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:30.7479514Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.7479596Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:30.7479677Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:30.7479859Z     tmp22 = tl.load(in_ptr0 + (4 + (3*(x1 // 2)) + (9*x2) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:30.7479958Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:30.7480039Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:30.7480111Z     tmp25 = 1
2022-11-23T01:32:30.7480205Z     tmp26 = tl.where(tmp6, tmp25, 0.0)
2022-11-23T01:32:30.7480276Z     tmp27 = 1
2022-11-23T01:32:30.7480372Z     tmp28 = tl.where(tmp11, tmp27, 0.0)
2022-11-23T01:32:30.7480454Z     tmp29 = tmp28 + tmp26
2022-11-23T01:32:30.7480525Z     tmp30 = 1
2022-11-23T01:32:30.7480621Z     tmp31 = tl.where(tmp17, tmp30, 0.0)
2022-11-23T01:32:30.7480694Z     tmp32 = tmp31 + tmp29
2022-11-23T01:32:30.7480765Z     tmp33 = 1
2022-11-23T01:32:30.7480859Z     tmp34 = tl.where(tmp21, tmp33, 0.0)
2022-11-23T01:32:30.7480938Z     tmp35 = tmp34 + tmp32
2022-11-23T01:32:30.7481020Z     tmp36 = tmp24 / tmp35
2022-11-23T01:32:30.7481161Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp36, xmask)
2022-11-23T01:32:30.7481252Z ''')
2022-11-23T01:32:30.7481258Z 
2022-11-23T01:32:30.7481262Z 
2022-11-23T01:32:30.7481464Z triton_fused__adaptive_avg_pool2d_1_add1 = async_compile.triton('''
2022-11-23T01:32:30.7481532Z import triton
2022-11-23T01:32:30.7481626Z import triton.language as tl
2022-11-23T01:32:30.7481747Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7481849Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7481988Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7482121Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7482127Z 
2022-11-23T01:32:30.7482502Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7482576Z @triton.jit
2022-11-23T01:32:30.7482705Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7482781Z     xnumel = 80
2022-11-23T01:32:30.7482879Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7483017Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7483103Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7483189Z     x1 = (xindex // 5) % 2
2022-11-23T01:32:30.7483266Z     x0 = xindex % 5
2022-11-23T01:32:30.7483339Z     x2 = (xindex // 10)
2022-11-23T01:32:30.7483413Z     x4 = xindex
2022-11-23T01:32:30.7483491Z     tmp0 = ((3*x1) // 2)
2022-11-23T01:32:30.7483573Z     tmp1 = 2 + (((3*x1) // 2))
2022-11-23T01:32:30.7483655Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7483733Z     tmp3 = ((3*x0) // 5)
2022-11-23T01:32:30.7483806Z     tmp4 = ((7 + (3*x0)) // 5)
2022-11-23T01:32:30.7483886Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7483966Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7484155Z     tmp7 = tl.load(in_ptr0 + ((3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:30.7484227Z     tmp8 = 1
2022-11-23T01:32:30.7484307Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:30.7484438Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:30.7484515Z     tmp11 = 1 + (((3*x0) // 5))
2022-11-23T01:32:30.7484596Z     tmp12 = tmp11 < tmp4
2022-11-23T01:32:30.7484677Z     tmp13 = tmp2 & tmp12
2022-11-23T01:32:30.7484887Z     tmp14 = tl.load(in_ptr0 + (1 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0).to(tl.float32)
2022-11-23T01:32:30.7484958Z     tmp15 = 1
2022-11-23T01:32:30.7485041Z     tmp16 = tmp14 + tmp15
2022-11-23T01:32:30.7485138Z     tmp17 = tl.where(tmp13, tmp16, 0.0)
2022-11-23T01:32:30.7485212Z     tmp18 = tmp17 + tmp10
2022-11-23T01:32:30.7485294Z     tmp19 = 1 + (((3*x1) // 2))
2022-11-23T01:32:30.7485374Z     tmp20 = tmp19 < tmp1
2022-11-23T01:32:30.7485454Z     tmp21 = tmp20 & tmp5
2022-11-23T01:32:30.7485638Z     tmp22 = tl.load(in_ptr0 + (3 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:30.7485711Z     tmp23 = 1
2022-11-23T01:32:30.7485797Z     tmp24 = tmp22 + tmp23
2022-11-23T01:32:30.7485894Z     tmp25 = tl.where(tmp21, tmp24, 0.0)
2022-11-23T01:32:30.7485967Z     tmp26 = tmp25 + tmp18
2022-11-23T01:32:30.7486047Z     tmp27 = tmp20 & tmp12
2022-11-23T01:32:30.7486229Z     tmp28 = tl.load(in_ptr0 + (4 + (3*(((3*x1) // 2))) + (9*x2) + (((3*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0).to(tl.float32)
2022-11-23T01:32:30.7486300Z     tmp29 = 1
2022-11-23T01:32:30.7486379Z     tmp30 = tmp28 + tmp29
2022-11-23T01:32:30.7486475Z     tmp31 = tl.where(tmp27, tmp30, 0.0)
2022-11-23T01:32:30.7486555Z     tmp32 = tmp31 + tmp26
2022-11-23T01:32:30.7486619Z     tmp33 = 1
2022-11-23T01:32:30.7486717Z     tmp34 = tl.where(tmp6, tmp33, 0.0)
2022-11-23T01:32:30.7486789Z     tmp35 = 1
2022-11-23T01:32:30.7486883Z     tmp36 = tl.where(tmp13, tmp35, 0.0)
2022-11-23T01:32:30.7486962Z     tmp37 = tmp36 + tmp34
2022-11-23T01:32:30.7487034Z     tmp38 = 1
2022-11-23T01:32:30.7487122Z     tmp39 = tl.where(tmp21, tmp38, 0.0)
2022-11-23T01:32:30.7487203Z     tmp40 = tmp39 + tmp37
2022-11-23T01:32:30.7487274Z     tmp41 = 1
2022-11-23T01:32:30.7487368Z     tmp42 = tl.where(tmp27, tmp41, 0.0)
2022-11-23T01:32:30.7487448Z     tmp43 = tmp42 + tmp40
2022-11-23T01:32:30.7487532Z     tmp44 = tmp32 / tmp43
2022-11-23T01:32:30.7487667Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp44, xmask)
2022-11-23T01:32:30.7487750Z ''')
2022-11-23T01:32:30.7487764Z 
2022-11-23T01:32:30.7487770Z 
2022-11-23T01:32:30.7487858Z async_compile.wait(globals())
2022-11-23T01:32:30.7487937Z del async_compile
2022-11-23T01:32:30.7487942Z 
2022-11-23T01:32:30.7488019Z def call(args):
2022-11-23T01:32:30.7488096Z     arg0_1, = args
2022-11-23T01:32:30.7488173Z     args.clear()
2022-11-23T01:32:30.7488392Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7488483Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7488639Z     triton_fused__adaptive_avg_pool2d0.run(arg0_1, buf0, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:30.7488853Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7489016Z     triton_fused__adaptive_avg_pool2d_1_add1.run(arg0_1, buf1, 80, grid=grid(80), stream=stream0)
2022-11-23T01:32:30.7489097Z     del arg0_1
2022-11-23T01:32:30.7489178Z     return (buf0, buf1, )
2022-11-23T01:32:30.7489183Z 
2022-11-23T01:32:30.7489188Z 
2022-11-23T01:32:30.7489270Z if __name__ == "__main__":
2022-11-23T01:32:30.7489392Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7489522Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7489727Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7489842Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7489847Z 
2022-11-23T01:32:30.7490248Z [2022-11-23 01:28:59,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dg/cdglozgfztlixwjmaumtumukgl4cjir43y3dk2rgbtjjba2tc3lj.py
2022-11-23T01:32:30.7490517Z [2022-11-23 01:28:59,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329
2022-11-23T01:32:30.7490779Z [2022-11-23 01:28:59,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7491094Z [2022-11-23 01:28:59,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7491320Z [2022-11-23 01:28:59,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7491580Z [2022-11-23 01:28:59,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7491865Z [2022-11-23 01:28:59,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7492190Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7492531Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7492862Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7493238Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:30.7493341Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7493462Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7493560Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7493662Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:30.7493760Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7493853Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7493973Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7493981Z 
2022-11-23T01:32:30.7494077Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7494170Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7494250Z               18 BINARY_ADD
2022-11-23T01:32:30.7494351Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:30.7494357Z 
2022-11-23T01:32:30.7494450Z 1916          22 CALL_METHOD              2
2022-11-23T01:32:30.7494544Z               24 BUILD_TUPLE              2
2022-11-23T01:32:30.7494619Z               26 RETURN_VALUE
2022-11-23T01:32:30.7494689Z  
2022-11-23T01:32:30.7494695Z 
2022-11-23T01:32:30.7495012Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7495239Z [2022-11-23 01:28:59,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7495573Z [2022-11-23 01:28:59,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7495851Z [2022-11-23 01:28:59,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7496163Z [2022-11-23 01:28:59,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7496513Z [2022-11-23 01:28:59,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7496761Z [2022-11-23 01:28:59,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.7497142Z [2022-11-23 01:28:59,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7497469Z [2022-11-23 01:28:59,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:32:30.7497768Z [2022-11-23 01:28:59,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7498103Z [2022-11-23 01:28:59,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7498470Z [2022-11-23 01:28:59,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7498993Z [2022-11-23 01:28:59,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7499307Z [2022-11-23 01:28:59,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:32:30.7499681Z [2022-11-23 01:28:59,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7499949Z [2022-11-23 01:28:59,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7500202Z [2022-11-23 01:28:59,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7500582Z [2022-11-23 01:28:59,938] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:30.7500827Z [2022-11-23 01:28:59,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7501066Z [2022-11-23 01:28:59,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7501317Z [2022-11-23 01:28:59,939] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7501573Z [2022-11-23 01:28:59,942] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7501769Z [2022-11-23 01:28:59,942] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7501911Z  __compiled_fn_338 <eval_with_key>.2100 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7502004Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7502165Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:30.7502350Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7502531Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:30.7502693Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:30.7502701Z 
2022-11-23T01:32:30.7503027Z [2022-11-23 01:28:59,943] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7503129Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7503227Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7503320Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7503421Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7503514Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7503610Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7503685Z              12 RETURN_VALUE
2022-11-23T01:32:30.7503690Z 
2022-11-23T01:32:30.7503757Z  
2022-11-23T01:32:30.7504128Z [2022-11-23 01:28:59,943] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7504277Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_338)
2022-11-23T01:32:30.7504378Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7504475Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7504557Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7504644Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7504756Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7504867Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7504964Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7505045Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7505154Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7505252Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7505333Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7505418Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.7505500Z              26 RETURN_VALUE
2022-11-23T01:32:30.7505508Z 
2022-11-23T01:32:30.7505575Z  
2022-11-23T01:32:30.7505765Z [2022-11-23 01:28:59,944] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7505843Z  - 
2022-11-23T01:32:30.7505968Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7506037Z             {
2022-11-23T01:32:30.7506174Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7506362Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7506485Z                 'obj_weakref': None
2022-11-23T01:32:30.7506713Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7506786Z             }
2022-11-23T01:32:30.7506856Z             
2022-11-23T01:32:30.7506933Z  - 
2022-11-23T01:32:30.7507057Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7507126Z             {
2022-11-23T01:32:30.7507273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7507386Z                 'code': None,
2022-11-23T01:32:30.7507602Z                 'obj_weakref': <weakref at 0x7f1ff8158040; to 'Tensor' at 0x7f20606cd4e0>
2022-11-23T01:32:30.7507852Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7507920Z             }
2022-11-23T01:32:30.7507982Z             
2022-11-23T01:32:30.7508058Z  - 
2022-11-23T01:32:30.7508194Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7508262Z             {
2022-11-23T01:32:30.7508404Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7508580Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7508705Z                 'obj_weakref': None
2022-11-23T01:32:30.7508930Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7509001Z             }
2022-11-23T01:32:30.7509070Z             
2022-11-23T01:32:30.7509146Z  - 
2022-11-23T01:32:30.7509276Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7509346Z             {
2022-11-23T01:32:30.7509488Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7509701Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7509825Z                 'obj_weakref': None
2022-11-23T01:32:30.7510048Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7510119Z             }
2022-11-23T01:32:30.7510188Z             
2022-11-23T01:32:30.7510335Z  - 
2022-11-23T01:32:30.7510493Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7510568Z             {
2022-11-23T01:32:30.7510695Z                 'guard_types': None,
2022-11-23T01:32:30.7510852Z                 'code': None,
2022-11-23T01:32:30.7510976Z                 'obj_weakref': None
2022-11-23T01:32:30.7511103Z                 'guarded_class': None
2022-11-23T01:32:30.7511173Z             }
2022-11-23T01:32:30.7511256Z             
2022-11-23T01:32:30.7511522Z [2022-11-23 01:28:59,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330
2022-11-23T01:32:30.7511772Z [2022-11-23 01:29:00,032] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7512019Z [2022-11-23 01:29:00,080] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7512025Z 
2022-11-23T01:32:30.7512126Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7512201Z import torch
2022-11-23T01:32:30.7512280Z import random
2022-11-23T01:32:30.7512404Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7512524Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7512538Z 
2022-11-23T01:32:30.7512617Z aten = torch.ops.aten
2022-11-23T01:32:30.7512758Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7512857Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7512866Z 
2022-11-23T01:32:30.7512941Z import triton
2022-11-23T01:32:30.7513037Z import triton.language as tl
2022-11-23T01:32:30.7513164Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7513308Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7513314Z 
2022-11-23T01:32:30.7513319Z 
2022-11-23T01:32:30.7513506Z triton_fused_add__adaptive_avg_pool2d_10 = async_compile.triton('''
2022-11-23T01:32:30.7513582Z import triton
2022-11-23T01:32:30.7513676Z import triton.language as tl
2022-11-23T01:32:30.7513792Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7513896Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7514036Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7514165Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7514171Z 
2022-11-23T01:32:30.7514544Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7514615Z @triton.jit
2022-11-23T01:32:30.7514752Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7514826Z     xnumel = 80
2022-11-23T01:32:30.7514925Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7515056Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7515142Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7515225Z     x1 = (xindex // 5) % 2
2022-11-23T01:32:30.7515293Z     x0 = xindex % 5
2022-11-23T01:32:30.7515375Z     x3 = (xindex // 5)
2022-11-23T01:32:30.7515447Z     x4 = xindex
2022-11-23T01:32:30.7515521Z     tmp0 = 3*x1
2022-11-23T01:32:30.7515601Z     tmp1 = 3 + (3*x1)
2022-11-23T01:32:30.7515684Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7515761Z     tmp3 = ((6*x0) // 5)
2022-11-23T01:32:30.7515837Z     tmp4 = 2 + (((6*x0) // 5))
2022-11-23T01:32:30.7515917Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7515999Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7516166Z     tmp7 = tl.load(in_ptr0 + ((18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:30.7516237Z     tmp8 = 1
2022-11-23T01:32:30.7516317Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:30.7516414Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:30.7516490Z     tmp11 = 1 + (((6*x0) // 5))
2022-11-23T01:32:30.7516571Z     tmp12 = tmp11 < tmp4
2022-11-23T01:32:30.7516652Z     tmp13 = tmp2 & tmp12
2022-11-23T01:32:30.7516816Z     tmp14 = tl.load(in_ptr0 + (1 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0)
2022-11-23T01:32:30.7516889Z     tmp15 = 1
2022-11-23T01:32:30.7516971Z     tmp16 = tmp14 + tmp15
2022-11-23T01:32:30.7517098Z     tmp17 = tl.where(tmp13, tmp16, 0.0)
2022-11-23T01:32:30.7517175Z     tmp18 = tmp17 + tmp10
2022-11-23T01:32:30.7517250Z     tmp19 = 1 + (3*x1)
2022-11-23T01:32:30.7517333Z     tmp20 = tmp19 < tmp1
2022-11-23T01:32:30.7517441Z     tmp21 = tmp20 & tmp5
2022-11-23T01:32:30.7517599Z     tmp22 = tl.load(in_ptr0 + (6 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:30.7517671Z     tmp23 = 1
2022-11-23T01:32:30.7517757Z     tmp24 = tmp22 + tmp23
2022-11-23T01:32:30.7517846Z     tmp25 = tl.where(tmp21, tmp24, 0.0)
2022-11-23T01:32:30.7517930Z     tmp26 = tmp25 + tmp18
2022-11-23T01:32:30.7518010Z     tmp27 = tmp20 & tmp12
2022-11-23T01:32:30.7518174Z     tmp28 = tl.load(in_ptr0 + (7 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0)
2022-11-23T01:32:30.7518247Z     tmp29 = 1
2022-11-23T01:32:30.7518325Z     tmp30 = tmp28 + tmp29
2022-11-23T01:32:30.7518421Z     tmp31 = tl.where(tmp27, tmp30, 0.0)
2022-11-23T01:32:30.7518494Z     tmp32 = tmp31 + tmp26
2022-11-23T01:32:30.7518572Z     tmp33 = 2 + (3*x1)
2022-11-23T01:32:30.7518654Z     tmp34 = tmp33 < tmp1
2022-11-23T01:32:30.7518733Z     tmp35 = tmp34 & tmp5
2022-11-23T01:32:30.7518897Z     tmp36 = tl.load(in_ptr0 + (12 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp35, other=0)
2022-11-23T01:32:30.7518973Z     tmp37 = 1
2022-11-23T01:32:30.7519056Z     tmp38 = tmp36 + tmp37
2022-11-23T01:32:30.7519146Z     tmp39 = tl.where(tmp35, tmp38, 0.0)
2022-11-23T01:32:30.7519225Z     tmp40 = tmp39 + tmp32
2022-11-23T01:32:30.7519304Z     tmp41 = tmp34 & tmp12
2022-11-23T01:32:30.7519464Z     tmp42 = tl.load(in_ptr0 + (13 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0)
2022-11-23T01:32:30.7519537Z     tmp43 = 1
2022-11-23T01:32:30.7519618Z     tmp44 = tmp42 + tmp43
2022-11-23T01:32:30.7519716Z     tmp45 = tl.where(tmp41, tmp44, 0.0)
2022-11-23T01:32:30.7519789Z     tmp46 = tmp45 + tmp40
2022-11-23T01:32:30.7519868Z     tmp47 = tmp1 < tmp1
2022-11-23T01:32:30.7519951Z     tmp48 = tmp47 & tmp5
2022-11-23T01:32:30.7520110Z     tmp49 = tl.load(in_ptr0 + (18 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp48, other=0)
2022-11-23T01:32:30.7520185Z     tmp50 = 1
2022-11-23T01:32:30.7520269Z     tmp51 = tmp49 + tmp50
2022-11-23T01:32:30.7520365Z     tmp52 = tl.where(tmp48, tmp51, 0.0)
2022-11-23T01:32:30.7520437Z     tmp53 = tmp52 + tmp46
2022-11-23T01:32:30.7520517Z     tmp54 = tmp47 & tmp12
2022-11-23T01:32:30.7520672Z     tmp55 = tl.load(in_ptr0 + (19 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0)
2022-11-23T01:32:30.7520746Z     tmp56 = 1
2022-11-23T01:32:30.7520826Z     tmp57 = tmp55 + tmp56
2022-11-23T01:32:30.7520922Z     tmp58 = tl.where(tmp54, tmp57, 0.0)
2022-11-23T01:32:30.7521004Z     tmp59 = tmp58 + tmp53
2022-11-23T01:32:30.7521068Z     tmp60 = 1
2022-11-23T01:32:30.7521169Z     tmp61 = tl.where(tmp6, tmp60, 0.0)
2022-11-23T01:32:30.7521241Z     tmp62 = 1
2022-11-23T01:32:30.7521340Z     tmp63 = tl.where(tmp13, tmp62, 0.0)
2022-11-23T01:32:30.7521419Z     tmp64 = tmp63 + tmp61
2022-11-23T01:32:30.7521489Z     tmp65 = 1
2022-11-23T01:32:30.7521586Z     tmp66 = tl.where(tmp21, tmp65, 0.0)
2022-11-23T01:32:30.7521662Z     tmp67 = tmp66 + tmp64
2022-11-23T01:32:30.7521734Z     tmp68 = 1
2022-11-23T01:32:30.7521826Z     tmp69 = tl.where(tmp27, tmp68, 0.0)
2022-11-23T01:32:30.7521906Z     tmp70 = tmp69 + tmp67
2022-11-23T01:32:30.7521978Z     tmp71 = 1
2022-11-23T01:32:30.7522073Z     tmp72 = tl.where(tmp35, tmp71, 0.0)
2022-11-23T01:32:30.7522145Z     tmp73 = tmp72 + tmp70
2022-11-23T01:32:30.7522217Z     tmp74 = 1
2022-11-23T01:32:30.7522311Z     tmp75 = tl.where(tmp41, tmp74, 0.0)
2022-11-23T01:32:30.7522392Z     tmp76 = tmp75 + tmp73
2022-11-23T01:32:30.7522466Z     tmp77 = 1
2022-11-23T01:32:30.7522561Z     tmp78 = tl.where(tmp48, tmp77, 0.0)
2022-11-23T01:32:30.7522642Z     tmp79 = tmp78 + tmp76
2022-11-23T01:32:30.7522706Z     tmp80 = 1
2022-11-23T01:32:30.7522839Z     tmp81 = tl.where(tmp54, tmp80, 0.0)
2022-11-23T01:32:30.7522920Z     tmp82 = tmp81 + tmp79
2022-11-23T01:32:30.7522999Z     tmp83 = tmp59 / tmp82
2022-11-23T01:32:30.7523138Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp83, xmask)
2022-11-23T01:32:30.7523250Z ''')
2022-11-23T01:32:30.7523255Z 
2022-11-23T01:32:30.7523260Z 
2022-11-23T01:32:30.7523454Z triton_fused__adaptive_avg_pool2d1 = async_compile.triton('''
2022-11-23T01:32:30.7523522Z import triton
2022-11-23T01:32:30.7523617Z import triton.language as tl
2022-11-23T01:32:30.7523735Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7523837Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7523972Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7524101Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7524106Z 
2022-11-23T01:32:30.7524481Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7524556Z @triton.jit
2022-11-23T01:32:30.7524683Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7524765Z     xnumel = 288
2022-11-23T01:32:30.7524863Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7524996Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7525080Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7525152Z     x0 = xindex
2022-11-23T01:32:30.7525253Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7525382Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.7525470Z ''')
2022-11-23T01:32:30.7525475Z 
2022-11-23T01:32:30.7525480Z 
2022-11-23T01:32:30.7525574Z async_compile.wait(globals())
2022-11-23T01:32:30.7525653Z del async_compile
2022-11-23T01:32:30.7525658Z 
2022-11-23T01:32:30.7525735Z def call(args):
2022-11-23T01:32:30.7525811Z     arg0_1, = args
2022-11-23T01:32:30.7525891Z     args.clear()
2022-11-23T01:32:30.7526109Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7526193Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7526361Z     triton_fused_add__adaptive_avg_pool2d_10.run(arg0_1, buf0, 80, grid=grid(80), stream=stream0)
2022-11-23T01:32:30.7526576Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7526734Z     triton_fused__adaptive_avg_pool2d1.run(arg0_1, buf1, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:30.7526808Z     del arg0_1
2022-11-23T01:32:30.7526891Z     return (buf1, buf0, )
2022-11-23T01:32:30.7526896Z 
2022-11-23T01:32:30.7526901Z 
2022-11-23T01:32:30.7526984Z if __name__ == "__main__":
2022-11-23T01:32:30.7527104Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7527226Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7527443Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7527557Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7527562Z 
2022-11-23T01:32:30.7527939Z [2022-11-23 01:29:00,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmshcc2ccopwpmklwyk5pv7xsbhtenkgqb6eh2sug3drplxyz6o.py
2022-11-23T01:32:30.7528215Z [2022-11-23 01:29:00,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330
2022-11-23T01:32:30.7528221Z 
2022-11-23T01:32:30.7528321Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7528397Z import torch
2022-11-23T01:32:30.7528473Z import random
2022-11-23T01:32:30.7528587Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7528715Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7528720Z 
2022-11-23T01:32:30.7528804Z aten = torch.ops.aten
2022-11-23T01:32:30.7528943Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7529078Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7529085Z 
2022-11-23T01:32:30.7529161Z import triton
2022-11-23T01:32:30.7529257Z import triton.language as tl
2022-11-23T01:32:30.7529408Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7529543Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7529549Z 
2022-11-23T01:32:30.7529563Z 
2022-11-23T01:32:30.7529756Z triton_fused_add__adaptive_avg_pool2d_10 = async_compile.triton('''
2022-11-23T01:32:30.7529834Z import triton
2022-11-23T01:32:30.7529930Z import triton.language as tl
2022-11-23T01:32:30.7530045Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7530150Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7530284Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7530412Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7530417Z 
2022-11-23T01:32:30.7530789Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7530865Z @triton.jit
2022-11-23T01:32:30.7531001Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7531075Z     xnumel = 80
2022-11-23T01:32:30.7531172Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7531303Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7531389Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7531476Z     x1 = (xindex // 5) % 2
2022-11-23T01:32:30.7531549Z     x0 = xindex % 5
2022-11-23T01:32:30.7531630Z     x3 = (xindex // 5)
2022-11-23T01:32:30.7531703Z     x4 = xindex
2022-11-23T01:32:30.7531782Z     tmp0 = 3*x1
2022-11-23T01:32:30.7531858Z     tmp1 = 3 + (3*x1)
2022-11-23T01:32:30.7531937Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:30.7532010Z     tmp3 = ((6*x0) // 5)
2022-11-23T01:32:30.7532098Z     tmp4 = 2 + (((6*x0) // 5))
2022-11-23T01:32:30.7532177Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:30.7532256Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:30.7532441Z     tmp7 = tl.load(in_ptr0 + ((18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:30.7532520Z     tmp8 = 1
2022-11-23T01:32:30.7532598Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:30.7532688Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:30.7532772Z     tmp11 = 1 + (((6*x0) // 5))
2022-11-23T01:32:30.7532856Z     tmp12 = tmp11 < tmp4
2022-11-23T01:32:30.7532938Z     tmp13 = tmp2 & tmp12
2022-11-23T01:32:30.7533125Z     tmp14 = tl.load(in_ptr0 + (1 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0).to(tl.float32)
2022-11-23T01:32:30.7533198Z     tmp15 = 1
2022-11-23T01:32:30.7533279Z     tmp16 = tmp14 + tmp15
2022-11-23T01:32:30.7533368Z     tmp17 = tl.where(tmp13, tmp16, 0.0)
2022-11-23T01:32:30.7533450Z     tmp18 = tmp17 + tmp10
2022-11-23T01:32:30.7533530Z     tmp19 = 1 + (3*x1)
2022-11-23T01:32:30.7533610Z     tmp20 = tmp19 < tmp1
2022-11-23T01:32:30.7533688Z     tmp21 = tmp20 & tmp5
2022-11-23T01:32:30.7533859Z     tmp22 = tl.load(in_ptr0 + (6 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:30.7533934Z     tmp23 = 1
2022-11-23T01:32:30.7534007Z     tmp24 = tmp22 + tmp23
2022-11-23T01:32:30.7534103Z     tmp25 = tl.where(tmp21, tmp24, 0.0)
2022-11-23T01:32:30.7534183Z     tmp26 = tmp25 + tmp18
2022-11-23T01:32:30.7534262Z     tmp27 = tmp20 & tmp12
2022-11-23T01:32:30.7534439Z     tmp28 = tl.load(in_ptr0 + (7 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0).to(tl.float32)
2022-11-23T01:32:30.7534511Z     tmp29 = 1
2022-11-23T01:32:30.7534591Z     tmp30 = tmp28 + tmp29
2022-11-23T01:32:30.7534679Z     tmp31 = tl.where(tmp27, tmp30, 0.0)
2022-11-23T01:32:30.7534759Z     tmp32 = tmp31 + tmp26
2022-11-23T01:32:30.7534834Z     tmp33 = 2 + (3*x1)
2022-11-23T01:32:30.7534947Z     tmp34 = tmp33 < tmp1
2022-11-23T01:32:30.7535028Z     tmp35 = tmp34 & tmp5
2022-11-23T01:32:30.7535204Z     tmp36 = tl.load(in_ptr0 + (12 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp35, other=0).to(tl.float32)
2022-11-23T01:32:30.7535300Z     tmp37 = 1
2022-11-23T01:32:30.7535372Z     tmp38 = tmp36 + tmp37
2022-11-23T01:32:30.7535469Z     tmp39 = tl.where(tmp35, tmp38, 0.0)
2022-11-23T01:32:30.7535549Z     tmp40 = tmp39 + tmp32
2022-11-23T01:32:30.7535626Z     tmp41 = tmp34 & tmp12
2022-11-23T01:32:30.7535797Z     tmp42 = tl.load(in_ptr0 + (13 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0).to(tl.float32)
2022-11-23T01:32:30.7535869Z     tmp43 = 1
2022-11-23T01:32:30.7535949Z     tmp44 = tmp42 + tmp43
2022-11-23T01:32:30.7536037Z     tmp45 = tl.where(tmp41, tmp44, 0.0)
2022-11-23T01:32:30.7536116Z     tmp46 = tmp45 + tmp40
2022-11-23T01:32:30.7536196Z     tmp47 = tmp1 < tmp1
2022-11-23T01:32:30.7536277Z     tmp48 = tmp47 & tmp5
2022-11-23T01:32:30.7536457Z     tmp49 = tl.load(in_ptr0 + (18 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp48, other=0).to(tl.float32)
2022-11-23T01:32:30.7536530Z     tmp50 = 1
2022-11-23T01:32:30.7536614Z     tmp51 = tmp49 + tmp50
2022-11-23T01:32:30.7536703Z     tmp52 = tl.where(tmp48, tmp51, 0.0)
2022-11-23T01:32:30.7536782Z     tmp53 = tmp52 + tmp46
2022-11-23T01:32:30.7536862Z     tmp54 = tmp47 & tmp12
2022-11-23T01:32:30.7537040Z     tmp55 = tl.load(in_ptr0 + (19 + (18*x3) + (((6*x0) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0).to(tl.float32)
2022-11-23T01:32:30.7537111Z     tmp56 = 1
2022-11-23T01:32:30.7537191Z     tmp57 = tmp55 + tmp56
2022-11-23T01:32:30.7537287Z     tmp58 = tl.where(tmp54, tmp57, 0.0)
2022-11-23T01:32:30.7537358Z     tmp59 = tmp58 + tmp53
2022-11-23T01:32:30.7537432Z     tmp60 = 1
2022-11-23T01:32:30.7537530Z     tmp61 = tl.where(tmp6, tmp60, 0.0)
2022-11-23T01:32:30.7537606Z     tmp62 = 1
2022-11-23T01:32:30.7537703Z     tmp63 = tl.where(tmp13, tmp62, 0.0)
2022-11-23T01:32:30.7537783Z     tmp64 = tmp63 + tmp61
2022-11-23T01:32:30.7537854Z     tmp65 = 1
2022-11-23T01:32:30.7537940Z     tmp66 = tl.where(tmp21, tmp65, 0.0)
2022-11-23T01:32:30.7538022Z     tmp67 = tmp66 + tmp64
2022-11-23T01:32:30.7538094Z     tmp68 = 1
2022-11-23T01:32:30.7538188Z     tmp69 = tl.where(tmp27, tmp68, 0.0)
2022-11-23T01:32:30.7538267Z     tmp70 = tmp69 + tmp67
2022-11-23T01:32:30.7538338Z     tmp71 = 1
2022-11-23T01:32:30.7538433Z     tmp72 = tl.where(tmp35, tmp71, 0.0)
2022-11-23T01:32:30.7538505Z     tmp73 = tmp72 + tmp70
2022-11-23T01:32:30.7538576Z     tmp74 = 1
2022-11-23T01:32:30.7538668Z     tmp75 = tl.where(tmp41, tmp74, 0.0)
2022-11-23T01:32:30.7538748Z     tmp76 = tmp75 + tmp73
2022-11-23T01:32:30.7539016Z     tmp77 = 1
2022-11-23T01:32:30.7539110Z     tmp78 = tl.where(tmp48, tmp77, 0.0)
2022-11-23T01:32:30.7539190Z     tmp79 = tmp78 + tmp76
2022-11-23T01:32:30.7539255Z     tmp80 = 1
2022-11-23T01:32:30.7539348Z     tmp81 = tl.where(tmp54, tmp80, 0.0)
2022-11-23T01:32:30.7539431Z     tmp82 = tmp81 + tmp79
2022-11-23T01:32:30.7539511Z     tmp83 = tmp59 / tmp82
2022-11-23T01:32:30.7539653Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp83, xmask)
2022-11-23T01:32:30.7539755Z ''')
2022-11-23T01:32:30.7539760Z 
2022-11-23T01:32:30.7539765Z 
2022-11-23T01:32:30.7539957Z triton_fused__adaptive_avg_pool2d1 = async_compile.triton('''
2022-11-23T01:32:30.7540025Z import triton
2022-11-23T01:32:30.7540120Z import triton.language as tl
2022-11-23T01:32:30.7540237Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7540339Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7540476Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7540606Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7540611Z 
2022-11-23T01:32:30.7541040Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7541116Z @triton.jit
2022-11-23T01:32:30.7541245Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7541350Z     xnumel = 288
2022-11-23T01:32:30.7541449Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7541584Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7541670Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7541741Z     x0 = xindex
2022-11-23T01:32:30.7541861Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7541990Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.7542079Z ''')
2022-11-23T01:32:30.7542085Z 
2022-11-23T01:32:30.7542089Z 
2022-11-23T01:32:30.7542185Z async_compile.wait(globals())
2022-11-23T01:32:30.7542263Z del async_compile
2022-11-23T01:32:30.7542268Z 
2022-11-23T01:32:30.7542346Z def call(args):
2022-11-23T01:32:30.7542420Z     arg0_1, = args
2022-11-23T01:32:30.7542499Z     args.clear()
2022-11-23T01:32:30.7542715Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7542800Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7542969Z     triton_fused_add__adaptive_avg_pool2d_10.run(arg0_1, buf0, 80, grid=grid(80), stream=stream0)
2022-11-23T01:32:30.7543186Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7543348Z     triton_fused__adaptive_avg_pool2d1.run(arg0_1, buf1, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:30.7543421Z     del arg0_1
2022-11-23T01:32:30.7543503Z     return (buf1, buf0, )
2022-11-23T01:32:30.7543508Z 
2022-11-23T01:32:30.7543513Z 
2022-11-23T01:32:30.7543594Z if __name__ == "__main__":
2022-11-23T01:32:30.7543712Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7543834Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7544055Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7544171Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7544176Z 
2022-11-23T01:32:30.7544248Z ok (2.184s)
2022-11-23T01:32:30.7544586Z   test_adaptive_avg_pool2d2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7544904Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7545131Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7545387Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7545658Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7545980Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7546325Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7546656Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7547036Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940> 
2022-11-23T01:32:30.7547138Z  1941           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.7547258Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:30.7547355Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7547486Z                6 LOAD_CONST               1 ((4, 4))
2022-11-23T01:32:30.7547584Z                8 CALL_METHOD              2
2022-11-23T01:32:30.7547659Z               10 RETURN_VALUE
2022-11-23T01:32:30.7547754Z  
2022-11-23T01:32:30.7547759Z 
2022-11-23T01:32:30.7548076Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1941
2022-11-23T01:32:30.7548301Z [2022-11-23 01:29:00,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.7548635Z [2022-11-23 01:29:00,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7548913Z [2022-11-23 01:29:00,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:30.7549227Z [2022-11-23 01:29:00,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.7549576Z [2022-11-23 01:29:00,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.7549834Z [2022-11-23 01:29:00,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7550209Z [2022-11-23 01:29:00,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940>
2022-11-23T01:32:30.7550549Z [2022-11-23 01:29:00,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7550791Z [2022-11-23 01:29:00,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7551048Z [2022-11-23 01:29:00,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7551301Z [2022-11-23 01:29:00,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7551497Z [2022-11-23 01:29:00,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7551644Z  __compiled_fn_339 <eval_with_key>.2106 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7551739Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7551896Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {}
2022-11-23T01:32:30.7552013Z output, output, output, ((_adaptive_avg_pool2d,),), {}
2022-11-23T01:32:30.7552019Z 
2022-11-23T01:32:30.7552350Z [2022-11-23 01:29:00,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7552451Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7552552Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7552648Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7552751Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7552844Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7552941Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7553016Z              12 RETURN_VALUE
2022-11-23T01:32:30.7553022Z 
2022-11-23T01:32:30.7553088Z  
2022-11-23T01:32:30.7553415Z [2022-11-23 01:29:00,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7553533Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_339)
2022-11-23T01:32:30.7553631Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7553731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7553814Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7553900Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7553995Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7554118Z              12 RETURN_VALUE
2022-11-23T01:32:30.7554124Z 
2022-11-23T01:32:30.7554188Z  
2022-11-23T01:32:30.7554381Z [2022-11-23 01:29:00,221] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7554481Z  - 
2022-11-23T01:32:30.7554608Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7554679Z             {
2022-11-23T01:32:30.7554819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7555010Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7555134Z                 'obj_weakref': None
2022-11-23T01:32:30.7555362Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7555431Z             }
2022-11-23T01:32:30.7555499Z             
2022-11-23T01:32:30.7555575Z  - 
2022-11-23T01:32:30.7555696Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7555765Z             {
2022-11-23T01:32:30.7555914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7556027Z                 'code': None,
2022-11-23T01:32:30.7556239Z                 'obj_weakref': <weakref at 0x7f1ff8150f90; to 'Tensor' at 0x7f2022eebd80>
2022-11-23T01:32:30.7556494Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7556566Z             }
2022-11-23T01:32:30.7556627Z             
2022-11-23T01:32:30.7556702Z  - 
2022-11-23T01:32:30.7556836Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7556905Z             {
2022-11-23T01:32:30.7557043Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7557216Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7557342Z                 'obj_weakref': None
2022-11-23T01:32:30.7557565Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7557634Z             }
2022-11-23T01:32:30.7557702Z             
2022-11-23T01:32:30.7557779Z  - 
2022-11-23T01:32:30.7557906Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7557975Z             {
2022-11-23T01:32:30.7558106Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7558328Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7558451Z                 'obj_weakref': None
2022-11-23T01:32:30.7558674Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7558742Z             }
2022-11-23T01:32:30.7558810Z             
2022-11-23T01:32:30.7558884Z  - 
2022-11-23T01:32:30.7559019Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.7559081Z             {
2022-11-23T01:32:30.7559203Z                 'guard_types': None,
2022-11-23T01:32:30.7559314Z                 'code': None,
2022-11-23T01:32:30.7559435Z                 'obj_weakref': None
2022-11-23T01:32:30.7559561Z                 'guarded_class': None
2022-11-23T01:32:30.7559632Z             }
2022-11-23T01:32:30.7559693Z             
2022-11-23T01:32:30.7559954Z [2022-11-23 01:29:00,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331
2022-11-23T01:32:30.7560202Z [2022-11-23 01:29:00,226] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:30.7560560Z [2022-11-23 01:29:00,227] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r4/cr45xog57wuiy56yggl32adxrph3ch3mw5odadsy3zl2typh7y6n.py
2022-11-23T01:32:30.7560827Z [2022-11-23 01:29:00,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331
2022-11-23T01:32:30.7560833Z 
2022-11-23T01:32:30.7560933Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7561008Z import torch
2022-11-23T01:32:30.7561084Z import random
2022-11-23T01:32:30.7561198Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7561325Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7561363Z 
2022-11-23T01:32:30.7561448Z aten = torch.ops.aten
2022-11-23T01:32:30.7561588Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7561716Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7561721Z 
2022-11-23T01:32:30.7561796Z import triton
2022-11-23T01:32:30.7561889Z import triton.language as tl
2022-11-23T01:32:30.7562016Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7562153Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7562158Z 
2022-11-23T01:32:30.7562172Z 
2022-11-23T01:32:30.7562257Z async_compile.wait(globals())
2022-11-23T01:32:30.7562336Z del async_compile
2022-11-23T01:32:30.7562341Z 
2022-11-23T01:32:30.7562417Z def call(args):
2022-11-23T01:32:30.7562492Z     arg0_1, = args
2022-11-23T01:32:30.7562569Z     args.clear()
2022-11-23T01:32:30.7562685Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2022-11-23T01:32:30.7562762Z     del arg0_1
2022-11-23T01:32:30.7562830Z     buf1 = buf0
2022-11-23T01:32:30.7562945Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2022-11-23T01:32:30.7563016Z     del buf0
2022-11-23T01:32:30.7563092Z     return (buf1, )
2022-11-23T01:32:30.7563101Z 
2022-11-23T01:32:30.7563106Z 
2022-11-23T01:32:30.7563188Z if __name__ == "__main__":
2022-11-23T01:32:30.7563307Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7563436Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7563656Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7563770Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7563775Z 
2022-11-23T01:32:30.7563848Z ok (0.021s)
2022-11-23T01:32:30.7564167Z   test_add_const_float_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7564485Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7564708Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7564968Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7565247Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7565564Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7565907Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7566226Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7566595Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649> 
2022-11-23T01:32:30.7566698Z  650           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7566798Z               2 LOAD_CONST               1 (1.5)
2022-11-23T01:32:30.7566878Z               4 BINARY_ADD
2022-11-23T01:32:30.7566973Z               6 BUILD_TUPLE              1
2022-11-23T01:32:30.7567055Z               8 RETURN_VALUE
2022-11-23T01:32:30.7567120Z  
2022-11-23T01:32:30.7567126Z 
2022-11-23T01:32:30.7567428Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650
2022-11-23T01:32:30.7567645Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7567921Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T01:32:30.7568206Z [2022-11-23 01:29:00,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.7568474Z [2022-11-23 01:29:00,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7568725Z [2022-11-23 01:29:00,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7569095Z [2022-11-23 01:29:00,233] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649>
2022-11-23T01:32:30.7569345Z [2022-11-23 01:29:00,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7569582Z [2022-11-23 01:29:00,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7569842Z [2022-11-23 01:29:00,233] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7570094Z [2022-11-23 01:29:00,235] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7570288Z [2022-11-23 01:29:00,235] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7570433Z  __compiled_fn_340 <eval_with_key>.2112 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7570528Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7570708Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T01:32:30.7570810Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7570816Z 
2022-11-23T01:32:30.7571139Z [2022-11-23 01:29:00,236] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7571241Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7571335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7571431Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7571531Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7571627Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7571721Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7571802Z              12 RETURN_VALUE
2022-11-23T01:32:30.7571807Z 
2022-11-23T01:32:30.7571873Z  
2022-11-23T01:32:30.7572183Z [2022-11-23 01:29:00,236] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7572302Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_340)
2022-11-23T01:32:30.7572399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7572497Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7572580Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7572674Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7572793Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7572905Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7572997Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7573080Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7573175Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7573257Z              20 RETURN_VALUE
2022-11-23T01:32:30.7573263Z 
2022-11-23T01:32:30.7573327Z  
2022-11-23T01:32:30.7573515Z [2022-11-23 01:29:00,236] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7573591Z  - 
2022-11-23T01:32:30.7573708Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7573779Z             {
2022-11-23T01:32:30.7573926Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7574117Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7574244Z                 'obj_weakref': None
2022-11-23T01:32:30.7574526Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7574597Z             }
2022-11-23T01:32:30.7574658Z             
2022-11-23T01:32:30.7574756Z  - 
2022-11-23T01:32:30.7574886Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7574956Z             {
2022-11-23T01:32:30.7575108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7575220Z                 'code': None,
2022-11-23T01:32:30.7575438Z                 'obj_weakref': <weakref at 0x7f1ff81a6890; to 'Tensor' at 0x7f1ff8144950>
2022-11-23T01:32:30.7575684Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7575754Z             }
2022-11-23T01:32:30.7575825Z             
2022-11-23T01:32:30.7575901Z  - 
2022-11-23T01:32:30.7576038Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7576109Z             {
2022-11-23T01:32:30.7576253Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7576420Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7576546Z                 'obj_weakref': None
2022-11-23T01:32:30.7576780Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7576853Z             }
2022-11-23T01:32:30.7576922Z             
2022-11-23T01:32:30.7576998Z  - 
2022-11-23T01:32:30.7577126Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7577188Z             {
2022-11-23T01:32:30.7577330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7577553Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7577677Z                 'obj_weakref': None
2022-11-23T01:32:30.7577902Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7577972Z             }
2022-11-23T01:32:30.7578040Z             
2022-11-23T01:32:30.7578302Z [2022-11-23 01:29:00,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332
2022-11-23T01:32:30.7578559Z [2022-11-23 01:29:00,243] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7579110Z [2022-11-23 01:29:00,302] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wc/cwcuch4bb67zhcnwvfah5s7unxcf5dfepi56ogh7pmvvaeah5zio.py
2022-11-23T01:32:30.7579385Z [2022-11-23 01:29:00,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332
2022-11-23T01:32:30.7579628Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7579948Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7580174Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7580437Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7580721Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7581051Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7581390Z [2022-11-23 01:29:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7581718Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7582140Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649> 
2022-11-23T01:32:30.7582242Z  650           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7582343Z               2 LOAD_CONST               1 (1.5)
2022-11-23T01:32:30.7582448Z               4 BINARY_ADD
2022-11-23T01:32:30.7582547Z               6 BUILD_TUPLE              1
2022-11-23T01:32:30.7582630Z               8 RETURN_VALUE
2022-11-23T01:32:30.7582688Z  
2022-11-23T01:32:30.7582694Z 
2022-11-23T01:32:30.7583014Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650
2022-11-23T01:32:30.7583229Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7583478Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T01:32:30.7583768Z [2022-11-23 01:29:00,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:30.7584016Z [2022-11-23 01:29:00,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7584272Z [2022-11-23 01:29:00,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7584653Z [2022-11-23 01:29:00,307] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649>
2022-11-23T01:32:30.7584903Z [2022-11-23 01:29:00,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7585144Z [2022-11-23 01:29:00,307] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7585395Z [2022-11-23 01:29:00,308] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7585654Z [2022-11-23 01:29:00,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7585849Z [2022-11-23 01:29:00,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7585993Z  __compiled_fn_341 <eval_with_key>.2118 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7586091Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7586272Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T01:32:30.7586373Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7586378Z 
2022-11-23T01:32:30.7586707Z [2022-11-23 01:29:00,310] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7586801Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7586899Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7586993Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7587094Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7587189Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7587285Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7587367Z              12 RETURN_VALUE
2022-11-23T01:32:30.7587375Z 
2022-11-23T01:32:30.7587443Z  
2022-11-23T01:32:30.7587758Z [2022-11-23 01:29:00,310] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7587875Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_341)
2022-11-23T01:32:30.7587973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7588070Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7588152Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7588246Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7588355Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7588458Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7588586Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7588669Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7588765Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7588847Z              20 RETURN_VALUE
2022-11-23T01:32:30.7588875Z 
2022-11-23T01:32:30.7588942Z  
2022-11-23T01:32:30.7589132Z [2022-11-23 01:29:00,311] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7589209Z  - 
2022-11-23T01:32:30.7589326Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7589398Z             {
2022-11-23T01:32:30.7589542Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7589732Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7589856Z                 'obj_weakref': None
2022-11-23T01:32:30.7590082Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7590151Z             }
2022-11-23T01:32:30.7590212Z             
2022-11-23T01:32:30.7590347Z  - 
2022-11-23T01:32:30.7590503Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7590588Z             {
2022-11-23T01:32:30.7590754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7590873Z                 'code': None,
2022-11-23T01:32:30.7591082Z                 'obj_weakref': <weakref at 0x7f1ff81a7ba0; to 'Tensor' at 0x7f2072857880>
2022-11-23T01:32:30.7591333Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7591401Z             }
2022-11-23T01:32:30.7591470Z             
2022-11-23T01:32:30.7591546Z  - 
2022-11-23T01:32:30.7591682Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7591751Z             {
2022-11-23T01:32:30.7591885Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7592059Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7592187Z                 'obj_weakref': None
2022-11-23T01:32:30.7592421Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7592489Z             }
2022-11-23T01:32:30.7592557Z             
2022-11-23T01:32:30.7592632Z  - 
2022-11-23T01:32:30.7592755Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7592825Z             {
2022-11-23T01:32:30.7592966Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7593189Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7593313Z                 'obj_weakref': None
2022-11-23T01:32:30.7593540Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7593609Z             }
2022-11-23T01:32:30.7593677Z             
2022-11-23T01:32:30.7593934Z [2022-11-23 01:29:00,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333
2022-11-23T01:32:30.7594191Z [2022-11-23 01:29:00,317] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7594556Z [2022-11-23 01:29:00,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/cof6in2ztatpqvrkztfdt7m2ynrw36xgawtgqoj6ziqeesr4qnao.py
2022-11-23T01:32:30.7594827Z [2022-11-23 01:29:00,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333
2022-11-23T01:32:30.7594833Z 
2022-11-23T01:32:30.7594932Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7595007Z import torch
2022-11-23T01:32:30.7595082Z import random
2022-11-23T01:32:30.7595207Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7595327Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7595333Z 
2022-11-23T01:32:30.7595417Z aten = torch.ops.aten
2022-11-23T01:32:30.7595557Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7595656Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7595661Z 
2022-11-23T01:32:30.7595738Z import triton
2022-11-23T01:32:30.7595872Z import triton.language as tl
2022-11-23T01:32:30.7596003Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7596139Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7596173Z 
2022-11-23T01:32:30.7596178Z 
2022-11-23T01:32:30.7596330Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7596405Z import triton
2022-11-23T01:32:30.7596499Z import triton.language as tl
2022-11-23T01:32:30.7596617Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7596722Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7596857Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7596985Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7596990Z 
2022-11-23T01:32:30.7597368Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7597436Z @triton.jit
2022-11-23T01:32:30.7597571Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7597646Z     xnumel = 32
2022-11-23T01:32:30.7597748Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7597880Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7597965Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7598037Z     x0 = xindex
2022-11-23T01:32:30.7598129Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7598203Z     tmp1 = 1.5
2022-11-23T01:32:30.7598284Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7598424Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7598510Z ''')
2022-11-23T01:32:30.7598515Z 
2022-11-23T01:32:30.7598520Z 
2022-11-23T01:32:30.7598614Z async_compile.wait(globals())
2022-11-23T01:32:30.7598692Z del async_compile
2022-11-23T01:32:30.7598697Z 
2022-11-23T01:32:30.7598766Z def call(args):
2022-11-23T01:32:30.7598843Z     arg0_1, = args
2022-11-23T01:32:30.7598919Z     args.clear()
2022-11-23T01:32:30.7599120Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7599216Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7599354Z     triton_fused_add0.run(arg0_1, buf0, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:30.7599428Z     del arg0_1
2022-11-23T01:32:30.7599498Z     return (buf0, )
2022-11-23T01:32:30.7599511Z 
2022-11-23T01:32:30.7599516Z 
2022-11-23T01:32:30.7599591Z if __name__ == "__main__":
2022-11-23T01:32:30.7599708Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7599838Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7600042Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7600157Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7600162Z 
2022-11-23T01:32:30.7600167Z 
2022-11-23T01:32:30.7600267Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7600345Z import torch
2022-11-23T01:32:30.7600413Z import random
2022-11-23T01:32:30.7600538Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7600662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7600670Z 
2022-11-23T01:32:30.7600753Z aten = torch.ops.aten
2022-11-23T01:32:30.7600895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7600991Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7600996Z 
2022-11-23T01:32:30.7601071Z import triton
2022-11-23T01:32:30.7601163Z import triton.language as tl
2022-11-23T01:32:30.7601283Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7601424Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7601430Z 
2022-11-23T01:32:30.7601434Z 
2022-11-23T01:32:30.7601588Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7601663Z import triton
2022-11-23T01:32:30.7601763Z import triton.language as tl
2022-11-23T01:32:30.7601942Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7602065Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7602200Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7602342Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7602347Z 
2022-11-23T01:32:30.7602716Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7602791Z @triton.jit
2022-11-23T01:32:30.7602928Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7603003Z     xnumel = 32
2022-11-23T01:32:30.7603101Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7603233Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7603316Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7603381Z     x0 = xindex
2022-11-23T01:32:30.7603505Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7603579Z     tmp1 = 1.5
2022-11-23T01:32:30.7603659Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7603802Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7603888Z ''')
2022-11-23T01:32:30.7603893Z 
2022-11-23T01:32:30.7603898Z 
2022-11-23T01:32:30.7603990Z async_compile.wait(globals())
2022-11-23T01:32:30.7604061Z del async_compile
2022-11-23T01:32:30.7604066Z 
2022-11-23T01:32:30.7604142Z def call(args):
2022-11-23T01:32:30.7604215Z     arg0_1, = args
2022-11-23T01:32:30.7604292Z     args.clear()
2022-11-23T01:32:30.7604485Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7604577Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7604714Z     triton_fused_add0.run(arg0_1, buf0, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:30.7604780Z     del arg0_1
2022-11-23T01:32:30.7604858Z     return (buf0, )
2022-11-23T01:32:30.7604866Z 
2022-11-23T01:32:30.7604871Z 
2022-11-23T01:32:30.7604954Z if __name__ == "__main__":
2022-11-23T01:32:30.7605074Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7605206Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7605405Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7605517Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7605522Z 
2022-11-23T01:32:30.7605594Z ok (0.149s)
2022-11-23T01:32:30.7605901Z   test_add_const_int_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7606217Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7606441Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7606704Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7606984Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7607305Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7607647Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7607967Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7608364Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643> 
2022-11-23T01:32:30.7608465Z  644           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7608555Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7608657Z               4 BINARY_ADD
2022-11-23T01:32:30.7608752Z               6 BUILD_TUPLE              1
2022-11-23T01:32:30.7608833Z               8 RETURN_VALUE
2022-11-23T01:32:30.7608901Z  
2022-11-23T01:32:30.7608906Z 
2022-11-23T01:32:30.7609219Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644
2022-11-23T01:32:30.7609432Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7609672Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.7609949Z [2022-11-23 01:29:00,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7610191Z [2022-11-23 01:29:00,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7610439Z [2022-11-23 01:29:00,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7610815Z [2022-11-23 01:29:00,381] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643>
2022-11-23T01:32:30.7611062Z [2022-11-23 01:29:00,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7611299Z [2022-11-23 01:29:00,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7611556Z [2022-11-23 01:29:00,382] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7611812Z [2022-11-23 01:29:00,384] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7612005Z [2022-11-23 01:29:00,384] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7612147Z  __compiled_fn_342 <eval_with_key>.2124 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7612237Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7612414Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7612520Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7612526Z 
2022-11-23T01:32:30.7612849Z [2022-11-23 01:29:00,385] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7612951Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7613049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7613142Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7613234Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7613332Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7613427Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7613508Z              12 RETURN_VALUE
2022-11-23T01:32:30.7613514Z 
2022-11-23T01:32:30.7613583Z  
2022-11-23T01:32:30.7613909Z [2022-11-23 01:29:00,385] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7614027Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_342)
2022-11-23T01:32:30.7614123Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7614213Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7614299Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7614396Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7614509Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7614621Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7614750Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7614833Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7614919Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7615006Z              20 RETURN_VALUE
2022-11-23T01:32:30.7615031Z 
2022-11-23T01:32:30.7615098Z  
2022-11-23T01:32:30.7615289Z [2022-11-23 01:29:00,385] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7615365Z  - 
2022-11-23T01:32:30.7615491Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7615560Z             {
2022-11-23T01:32:30.7615702Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7615894Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7616019Z                 'obj_weakref': None
2022-11-23T01:32:30.7616249Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7616318Z             }
2022-11-23T01:32:30.7616387Z             
2022-11-23T01:32:30.7616464Z  - 
2022-11-23T01:32:30.7616589Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7616660Z             {
2022-11-23T01:32:30.7616808Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7616921Z                 'code': None,
2022-11-23T01:32:30.7617138Z                 'obj_weakref': <weakref at 0x7f1ff81c1170; to 'Tensor' at 0x7f2072857880>
2022-11-23T01:32:30.7617392Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7617461Z             }
2022-11-23T01:32:30.7617529Z             
2022-11-23T01:32:30.7617598Z  - 
2022-11-23T01:32:30.7617734Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7617803Z             {
2022-11-23T01:32:30.7617945Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7618119Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7618243Z                 'obj_weakref': None
2022-11-23T01:32:30.7618478Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7618539Z             }
2022-11-23T01:32:30.7618608Z             
2022-11-23T01:32:30.7618685Z  - 
2022-11-23T01:32:30.7619000Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7619072Z             {
2022-11-23T01:32:30.7619217Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7619429Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7619555Z                 'obj_weakref': None
2022-11-23T01:32:30.7619782Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7619851Z             }
2022-11-23T01:32:30.7619921Z             
2022-11-23T01:32:30.7620189Z [2022-11-23 01:29:00,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334
2022-11-23T01:32:30.7620443Z [2022-11-23 01:29:00,392] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7620818Z [2022-11-23 01:29:00,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qy/cqyqjfnbepk3zraadhvlwnxp5esgjexbgyosvanzvacmu6imdlyg.py
2022-11-23T01:32:30.7621084Z [2022-11-23 01:29:00,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334
2022-11-23T01:32:30.7621329Z [2022-11-23 01:29:00,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7621641Z [2022-11-23 01:29:00,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7621866Z [2022-11-23 01:29:00,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7622120Z [2022-11-23 01:29:00,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7622476Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7622826Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7623210Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7623535Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7623910Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643> 
2022-11-23T01:32:30.7624013Z  644           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7624105Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7624192Z               4 BINARY_ADD
2022-11-23T01:32:30.7624287Z               6 BUILD_TUPLE              1
2022-11-23T01:32:30.7624368Z               8 RETURN_VALUE
2022-11-23T01:32:30.7624434Z  
2022-11-23T01:32:30.7624442Z 
2022-11-23T01:32:30.7624758Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644
2022-11-23T01:32:30.7624974Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.7625210Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:30.7625497Z [2022-11-23 01:29:00,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7625742Z [2022-11-23 01:29:00,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7626000Z [2022-11-23 01:29:00,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7626378Z [2022-11-23 01:29:00,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f405b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643>
2022-11-23T01:32:30.7626632Z [2022-11-23 01:29:00,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7626872Z [2022-11-23 01:29:00,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7627134Z [2022-11-23 01:29:00,456] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7627389Z [2022-11-23 01:29:00,458] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7627584Z [2022-11-23 01:29:00,458] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7627719Z  __compiled_fn_343 <eval_with_key>.2130 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7627817Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7627996Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7628097Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.7628104Z 
2022-11-23T01:32:30.7628433Z [2022-11-23 01:29:00,458] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7628534Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7628636Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7628730Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7628823Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7628915Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7629008Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7629090Z              12 RETURN_VALUE
2022-11-23T01:32:30.7629095Z 
2022-11-23T01:32:30.7629163Z  
2022-11-23T01:32:30.7629525Z [2022-11-23 01:29:00,458] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7629645Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_343)
2022-11-23T01:32:30.7629764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7629855Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7629939Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7630032Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7630145Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7630319Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7630435Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7630524Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7630612Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.7630694Z              20 RETURN_VALUE
2022-11-23T01:32:30.7630700Z 
2022-11-23T01:32:30.7630767Z  
2022-11-23T01:32:30.7630963Z [2022-11-23 01:29:00,459] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7631039Z  - 
2022-11-23T01:32:30.7631166Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7631239Z             {
2022-11-23T01:32:30.7631378Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7631573Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7631696Z                 'obj_weakref': None
2022-11-23T01:32:30.7631924Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7631993Z             }
2022-11-23T01:32:30.7632065Z             
2022-11-23T01:32:30.7632141Z  - 
2022-11-23T01:32:30.7632264Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7632335Z             {
2022-11-23T01:32:30.7632484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7632596Z                 'code': None,
2022-11-23T01:32:30.7632821Z                 'obj_weakref': <weakref at 0x7f1ff81c0f40; to 'Tensor' at 0x7f1ff81402c0>
2022-11-23T01:32:30.7633073Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7633144Z             }
2022-11-23T01:32:30.7633205Z             
2022-11-23T01:32:30.7633281Z  - 
2022-11-23T01:32:30.7633417Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7633485Z             {
2022-11-23T01:32:30.7633624Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7633797Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7633919Z                 'obj_weakref': None
2022-11-23T01:32:30.7634141Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7634212Z             }
2022-11-23T01:32:30.7634279Z             
2022-11-23T01:32:30.7634354Z  - 
2022-11-23T01:32:30.7634481Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7634549Z             {
2022-11-23T01:32:30.7634688Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7634896Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7635022Z                 'obj_weakref': None
2022-11-23T01:32:30.7635243Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7635312Z             }
2022-11-23T01:32:30.7635381Z             
2022-11-23T01:32:30.7635641Z [2022-11-23 01:29:00,462] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335
2022-11-23T01:32:30.7635888Z [2022-11-23 01:29:00,465] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7636255Z [2022-11-23 01:29:00,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wy/cwyoesintpwoarkhdatfe35zpph26xwsaw2psqklkjwqxkyalb27.py
2022-11-23T01:32:30.7636549Z [2022-11-23 01:29:00,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335
2022-11-23T01:32:30.7636556Z 
2022-11-23T01:32:30.7636657Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7636754Z import torch
2022-11-23T01:32:30.7636830Z import random
2022-11-23T01:32:30.7636952Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7637081Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7637086Z 
2022-11-23T01:32:30.7637172Z aten = torch.ops.aten
2022-11-23T01:32:30.7637305Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7637406Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7637411Z 
2022-11-23T01:32:30.7637486Z import triton
2022-11-23T01:32:30.7637581Z import triton.language as tl
2022-11-23T01:32:30.7637712Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7637856Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7637862Z 
2022-11-23T01:32:30.7637869Z 
2022-11-23T01:32:30.7638024Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7638099Z import triton
2022-11-23T01:32:30.7638184Z import triton.language as tl
2022-11-23T01:32:30.7638302Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7638405Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7638541Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7638671Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7638677Z 
2022-11-23T01:32:30.7639051Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7639127Z @triton.jit
2022-11-23T01:32:30.7639264Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7639331Z     xnumel = 32
2022-11-23T01:32:30.7639435Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7639569Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7639656Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7639728Z     x0 = xindex
2022-11-23T01:32:30.7639830Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7639901Z     tmp1 = 1
2022-11-23T01:32:30.7639973Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7640110Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7640197Z ''')
2022-11-23T01:32:30.7640203Z 
2022-11-23T01:32:30.7640207Z 
2022-11-23T01:32:30.7640301Z async_compile.wait(globals())
2022-11-23T01:32:30.7640382Z del async_compile
2022-11-23T01:32:30.7640387Z 
2022-11-23T01:32:30.7640463Z def call(args):
2022-11-23T01:32:30.7640537Z     arg0_1, = args
2022-11-23T01:32:30.7640613Z     args.clear()
2022-11-23T01:32:30.7640802Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7640896Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7641039Z     triton_fused_add0.run(arg0_1, buf0, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:30.7641114Z     del arg0_1
2022-11-23T01:32:30.7641191Z     return (buf0, )
2022-11-23T01:32:30.7641199Z 
2022-11-23T01:32:30.7641203Z 
2022-11-23T01:32:30.7641283Z if __name__ == "__main__":
2022-11-23T01:32:30.7641403Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7641525Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7641726Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7641839Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7641844Z 
2022-11-23T01:32:30.7641849Z 
2022-11-23T01:32:30.7641947Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7642023Z import torch
2022-11-23T01:32:30.7642096Z import random
2022-11-23T01:32:30.7642218Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7642342Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7642379Z 
2022-11-23T01:32:30.7642457Z aten = torch.ops.aten
2022-11-23T01:32:30.7642597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7642693Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7642719Z 
2022-11-23T01:32:30.7642794Z import triton
2022-11-23T01:32:30.7642888Z import triton.language as tl
2022-11-23T01:32:30.7643015Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7643159Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7643165Z 
2022-11-23T01:32:30.7643169Z 
2022-11-23T01:32:30.7643323Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7643391Z import triton
2022-11-23T01:32:30.7643485Z import triton.language as tl
2022-11-23T01:32:30.7643603Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7643706Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7643842Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7643972Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7643978Z 
2022-11-23T01:32:30.7644352Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7644430Z @triton.jit
2022-11-23T01:32:30.7644558Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7644633Z     xnumel = 32
2022-11-23T01:32:30.7644732Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7644865Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7644949Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7645020Z     x0 = xindex
2022-11-23T01:32:30.7645140Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7645205Z     tmp1 = 1
2022-11-23T01:32:30.7645284Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7645423Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7645510Z ''')
2022-11-23T01:32:30.7645515Z 
2022-11-23T01:32:30.7645520Z 
2022-11-23T01:32:30.7645614Z async_compile.wait(globals())
2022-11-23T01:32:30.7645698Z del async_compile
2022-11-23T01:32:30.7645703Z 
2022-11-23T01:32:30.7645779Z def call(args):
2022-11-23T01:32:30.7645846Z     arg0_1, = args
2022-11-23T01:32:30.7645927Z     args.clear()
2022-11-23T01:32:30.7646125Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7646216Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7646357Z     triton_fused_add0.run(arg0_1, buf0, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:30.7646431Z     del arg0_1
2022-11-23T01:32:30.7646508Z     return (buf0, )
2022-11-23T01:32:30.7646513Z 
2022-11-23T01:32:30.7646518Z 
2022-11-23T01:32:30.7646600Z if __name__ == "__main__":
2022-11-23T01:32:30.7646713Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7646844Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7647046Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7647161Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7647169Z 
2022-11-23T01:32:30.7647243Z ok (0.150s)
2022-11-23T01:32:30.7647570Z   test_add_inplace_permuted_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7647884Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7648107Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7648356Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7648676Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7648999Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7649363Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7649683Z [2022-11-23 01:29:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7650049Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655> 
2022-11-23T01:32:30.7650150Z  656           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7650250Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:30.7650352Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7650446Z               6 CALL_METHOD              1
2022-11-23T01:32:30.7650521Z               8 RETURN_VALUE
2022-11-23T01:32:30.7650589Z  
2022-11-23T01:32:30.7650598Z 
2022-11-23T01:32:30.7650913Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656
2022-11-23T01:32:30.7651129Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7651377Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:30.7651654Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:30.7651963Z [2022-11-23 01:29:00,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:30.7652218Z [2022-11-23 01:29:00,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7652594Z [2022-11-23 01:29:00,532] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655>
2022-11-23T01:32:30.7652841Z [2022-11-23 01:29:00,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7653081Z [2022-11-23 01:29:00,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7653340Z [2022-11-23 01:29:00,533] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7653644Z [2022-11-23 01:29:00,534] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:30.7653913Z [2022-11-23 01:29:00,534] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:30.7654165Z [2022-11-23 01:29:00,534] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7654361Z [2022-11-23 01:29:00,534] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7654506Z  __compiled_fn_344 <eval_with_key>.2133 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7654599Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7654686Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7654790Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.7654890Z output, output, output, ((add_,),), {}
2022-11-23T01:32:30.7654895Z 
2022-11-23T01:32:30.7655228Z [2022-11-23 01:29:00,535] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7655329Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7655428Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7655549Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7655651Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7655736Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7655851Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7655933Z              12 RETURN_VALUE
2022-11-23T01:32:30.7655938Z 
2022-11-23T01:32:30.7656003Z  
2022-11-23T01:32:30.7656329Z [2022-11-23 01:29:00,535] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7656448Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_344)
2022-11-23T01:32:30.7656548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7656638Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7656722Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7656815Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7656912Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7656996Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7657089Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.7657185Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7657262Z              18 RETURN_VALUE
2022-11-23T01:32:30.7657273Z 
2022-11-23T01:32:30.7657332Z  
2022-11-23T01:32:30.7657522Z [2022-11-23 01:29:00,535] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7657598Z  - 
2022-11-23T01:32:30.7657723Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7657792Z             {
2022-11-23T01:32:30.7657942Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7658127Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.7658256Z                 'obj_weakref': None
2022-11-23T01:32:30.7658490Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7658560Z             }
2022-11-23T01:32:30.7658634Z             
2022-11-23T01:32:30.7658710Z  - 
2022-11-23T01:32:30.7659037Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7659100Z             {
2022-11-23T01:32:30.7659252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7659369Z                 'code': None,
2022-11-23T01:32:30.7659591Z                 'obj_weakref': <weakref at 0x7f1ff81d9f30; to 'Tensor' at 0x7f206826d710>
2022-11-23T01:32:30.7659848Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7659918Z             }
2022-11-23T01:32:30.7659987Z             
2022-11-23T01:32:30.7660062Z  - 
2022-11-23T01:32:30.7660182Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7660250Z             {
2022-11-23T01:32:30.7660398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7660510Z                 'code': None,
2022-11-23T01:32:30.7660731Z                 'obj_weakref': <weakref at 0x7f1ff81da020; to 'Tensor' at 0x7f1ff8169fd0>
2022-11-23T01:32:30.7660986Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7661054Z             }
2022-11-23T01:32:30.7661117Z             
2022-11-23T01:32:30.7661193Z  - 
2022-11-23T01:32:30.7661330Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7661400Z             {
2022-11-23T01:32:30.7661542Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7661717Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7661854Z                 'obj_weakref': None
2022-11-23T01:32:30.7662115Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7662185Z             }
2022-11-23T01:32:30.7662254Z             
2022-11-23T01:32:30.7662328Z  - 
2022-11-23T01:32:30.7662454Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7662522Z             {
2022-11-23T01:32:30.7662708Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7662932Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7663057Z                 'obj_weakref': None
2022-11-23T01:32:30.7663308Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7663377Z             }
2022-11-23T01:32:30.7663445Z             
2022-11-23T01:32:30.7663692Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7664012Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7664229Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7664487Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7664774Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7665099Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7665450Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7665772Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7666149Z [2022-11-23 01:29:00,538] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655> 
2022-11-23T01:32:30.7666249Z  656           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7666353Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:30.7666450Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:30.7666538Z               6 CALL_METHOD              1
2022-11-23T01:32:30.7666622Z               8 RETURN_VALUE
2022-11-23T01:32:30.7666690Z  
2022-11-23T01:32:30.7666696Z 
2022-11-23T01:32:30.7667013Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656
2022-11-23T01:32:30.7667230Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7667480Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:30.7667757Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:30.7668070Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:30.7668315Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7668697Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655>
2022-11-23T01:32:30.7668948Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.7669186Z [2022-11-23 01:29:00,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7669446Z [2022-11-23 01:29:00,540] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7669741Z [2022-11-23 01:29:00,541] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:30.7670030Z [2022-11-23 01:29:00,541] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:30.7670355Z [2022-11-23 01:29:00,541] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7670612Z [2022-11-23 01:29:00,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7670757Z  __compiled_fn_345 <eval_with_key>.2136 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7670845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7670938Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7671044Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.7671145Z output, output, output, ((add_,),), {}
2022-11-23T01:32:30.7671151Z 
2022-11-23T01:32:30.7671480Z [2022-11-23 01:29:00,542] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7671586Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7671686Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7671780Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7671873Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7671970Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7672065Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7672145Z              12 RETURN_VALUE
2022-11-23T01:32:30.7672151Z 
2022-11-23T01:32:30.7672218Z  
2022-11-23T01:32:30.7672535Z [2022-11-23 01:29:00,542] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7672653Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_345)
2022-11-23T01:32:30.7672742Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7672841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7672923Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7673021Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7673113Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7673194Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7673291Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.7673378Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.7673459Z              18 RETURN_VALUE
2022-11-23T01:32:30.7673464Z 
2022-11-23T01:32:30.7673530Z  
2022-11-23T01:32:30.7673720Z [2022-11-23 01:29:00,543] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7673797Z  - 
2022-11-23T01:32:30.7673924Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7673993Z             {
2022-11-23T01:32:30.7674132Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7674323Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.7674449Z                 'obj_weakref': None
2022-11-23T01:32:30.7674680Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7674749Z             }
2022-11-23T01:32:30.7674821Z             
2022-11-23T01:32:30.7674898Z  - 
2022-11-23T01:32:30.7675020Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7675092Z             {
2022-11-23T01:32:30.7675238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7675352Z                 'code': None,
2022-11-23T01:32:30.7675566Z                 'obj_weakref': <weakref at 0x7f1ff81daf20; to 'Tensor' at 0x7f2072729760>
2022-11-23T01:32:30.7675816Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7675890Z             }
2022-11-23T01:32:30.7675961Z             
2022-11-23T01:32:30.7676029Z  - 
2022-11-23T01:32:30.7676159Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7676231Z             {
2022-11-23T01:32:30.7676379Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7676525Z                 'code': None,
2022-11-23T01:32:30.7676736Z                 'obj_weakref': <weakref at 0x7f1ff81daf70; to 'Tensor' at 0x7f20727fb970>
2022-11-23T01:32:30.7676995Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7677112Z             }
2022-11-23T01:32:30.7677181Z             
2022-11-23T01:32:30.7677257Z  - 
2022-11-23T01:32:30.7677395Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7677464Z             {
2022-11-23T01:32:30.7677605Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7677772Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7677896Z                 'obj_weakref': None
2022-11-23T01:32:30.7678132Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7678201Z             }
2022-11-23T01:32:30.7678270Z             
2022-11-23T01:32:30.7678346Z  - 
2022-11-23T01:32:30.7678476Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7678538Z             {
2022-11-23T01:32:30.7678680Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7678900Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7679029Z                 'obj_weakref': None
2022-11-23T01:32:30.7679256Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7679323Z             }
2022-11-23T01:32:30.7679392Z             
2022-11-23T01:32:30.7679465Z ok (0.016s)
2022-11-23T01:32:30.7679767Z   test_addmm_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7680088Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7680317Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7680579Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7680865Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7681188Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7681534Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7681860Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7682234Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333> 
2022-11-23T01:32:30.7682340Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7682437Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T01:32:30.7682535Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7682633Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7682712Z                8 BINARY_ADD
2022-11-23T01:32:30.7682808Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:30.7682903Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7682984Z               14 BINARY_ADD
2022-11-23T01:32:30.7683070Z               16 LOAD_FAST                2 (c)
2022-11-23T01:32:30.7683162Z               18 LOAD_CONST               3 (3)
2022-11-23T01:32:30.7683240Z               20 BINARY_ADD
2022-11-23T01:32:30.7683335Z               22 CALL_METHOD              3
2022-11-23T01:32:30.7683462Z               24 LOAD_CONST               4 (4)
2022-11-23T01:32:30.7683541Z               26 BINARY_ADD
2022-11-23T01:32:30.7683637Z               28 BUILD_TUPLE              1
2022-11-23T01:32:30.7683712Z               30 RETURN_VALUE
2022-11-23T01:32:30.7683806Z  
2022-11-23T01:32:30.7683812Z 
2022-11-23T01:32:30.7684127Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334
2022-11-23T01:32:30.7684356Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7684726Z [2022-11-23 01:29:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7685045Z [2022-11-23 01:29:00,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7685393Z [2022-11-23 01:29:00,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7685778Z [2022-11-23 01:29:00,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7686115Z [2022-11-23 01:29:00,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7686484Z [2022-11-23 01:29:00,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7686897Z [2022-11-23 01:29:00,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7687257Z [2022-11-23 01:29:00,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7687655Z [2022-11-23 01:29:00,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7688088Z [2022-11-23 01:29:00,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7688489Z [2022-11-23 01:29:00,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7688730Z [2022-11-23 01:29:00,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:30.7689012Z [2022-11-23 01:29:00,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7689255Z [2022-11-23 01:29:00,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7689501Z [2022-11-23 01:29:00,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7689873Z [2022-11-23 01:29:00,553] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333>
2022-11-23T01:32:30.7690119Z [2022-11-23 01:29:00,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7690380Z [2022-11-23 01:29:00,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7690639Z [2022-11-23 01:29:00,554] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7690908Z [2022-11-23 01:29:00,560] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7691102Z [2022-11-23 01:29:00,560] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7691246Z  __compiled_fn_346 <eval_with_key>.2142 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7691343Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7691435Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7691530Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.7691706Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7691879Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:30.7692054Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:30.7692304Z call_function, addmm, <built-in method addmm of type object at 0x7f209c394c60>, (add, add_1, add_2), {}
2022-11-23T01:32:30.7692484Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T01:32:30.7692591Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:30.7692597Z 
2022-11-23T01:32:30.7692924Z [2022-11-23 01:29:00,560] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7693026Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7693123Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7693209Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7693309Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7693402Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7693496Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7693578Z              12 RETURN_VALUE
2022-11-23T01:32:30.7693584Z 
2022-11-23T01:32:30.7693653Z  
2022-11-23T01:32:30.7693971Z [2022-11-23 01:29:00,560] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7694095Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_346)
2022-11-23T01:32:30.7694184Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7694281Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7694363Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7694459Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7694556Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7694636Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7694728Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7694813Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7694893Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.7694988Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.7695103Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7695213Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7695308Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7695393Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7695479Z              30 BUILD_TUPLE              1
2022-11-23T01:32:30.7695561Z              32 RETURN_VALUE
2022-11-23T01:32:30.7695566Z 
2022-11-23T01:32:30.7695632Z  
2022-11-23T01:32:30.7695820Z [2022-11-23 01:29:00,561] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7695899Z  - 
2022-11-23T01:32:30.7696023Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7696092Z             {
2022-11-23T01:32:30.7696229Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7696420Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.7696544Z                 'obj_weakref': None
2022-11-23T01:32:30.7696810Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7696881Z             }
2022-11-23T01:32:30.7696950Z             
2022-11-23T01:32:30.7697049Z  - 
2022-11-23T01:32:30.7697171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7697241Z             {
2022-11-23T01:32:30.7697389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7697502Z                 'code': None,
2022-11-23T01:32:30.7697715Z                 'obj_weakref': <weakref at 0x7f1ff814fb00; to 'Tensor' at 0x7f2151eefd80>
2022-11-23T01:32:30.7697963Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7698033Z             }
2022-11-23T01:32:30.7704876Z             
2022-11-23T01:32:30.7704989Z  - 
2022-11-23T01:32:30.7705130Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7705203Z             {
2022-11-23T01:32:30.7705362Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7705475Z                 'code': None,
2022-11-23T01:32:30.7705691Z                 'obj_weakref': <weakref at 0x7f1ff81c0e00; to 'Tensor' at 0x7f20727fb970>
2022-11-23T01:32:30.7705946Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7706011Z             }
2022-11-23T01:32:30.7706083Z             
2022-11-23T01:32:30.7706160Z  - 
2022-11-23T01:32:30.7706289Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.7706360Z             {
2022-11-23T01:32:30.7706510Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7706615Z                 'code': None,
2022-11-23T01:32:30.7706825Z                 'obj_weakref': <weakref at 0x7f1ff8151cb0; to 'Tensor' at 0x7f20727fb9c0>
2022-11-23T01:32:30.7707075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7707145Z             }
2022-11-23T01:32:30.7707217Z             
2022-11-23T01:32:30.7707295Z  - 
2022-11-23T01:32:30.7707430Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7707492Z             {
2022-11-23T01:32:30.7707632Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7707813Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7707937Z                 'obj_weakref': None
2022-11-23T01:32:30.7708169Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7708240Z             }
2022-11-23T01:32:30.7708309Z             
2022-11-23T01:32:30.7708377Z  - 
2022-11-23T01:32:30.7708503Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7708572Z             {
2022-11-23T01:32:30.7708715Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7708934Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7709061Z                 'obj_weakref': None
2022-11-23T01:32:30.7709288Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7709359Z             }
2022-11-23T01:32:30.7709421Z             
2022-11-23T01:32:30.7709503Z  - 
2022-11-23T01:32:30.7709638Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7709707Z             {
2022-11-23T01:32:30.7709832Z                 'guard_types': None,
2022-11-23T01:32:30.7709943Z                 'code': None,
2022-11-23T01:32:30.7710059Z                 'obj_weakref': None
2022-11-23T01:32:30.7710186Z                 'guarded_class': None
2022-11-23T01:32:30.7710322Z             }
2022-11-23T01:32:30.7710406Z             
2022-11-23T01:32:30.7710698Z [2022-11-23 01:29:00,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336
2022-11-23T01:32:30.7710949Z [2022-11-23 01:29:00,581] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7711278Z [2022-11-23 01:29:00,582] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7711526Z [2022-11-23 01:29:00,583] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.7711798Z [2022-11-23 01:29:00,584] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:30.7712170Z [2022-11-23 01:29:00,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yn/cynkghnzzwexv3afaglbvdmuv2xmfiveu4upv3edhv4kp2gte7ta.py
2022-11-23T01:32:30.7712434Z [2022-11-23 01:29:00,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336
2022-11-23T01:32:30.7712674Z [2022-11-23 01:29:00,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7712985Z [2022-11-23 01:29:00,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7713210Z [2022-11-23 01:29:00,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7713468Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7713750Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7714070Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7714414Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7714728Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7715103Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333> 
2022-11-23T01:32:30.7715211Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7715320Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T01:32:30.7715419Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.7715519Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:30.7715600Z                8 BINARY_ADD
2022-11-23T01:32:30.7715697Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:30.7715784Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7715863Z               14 BINARY_ADD
2022-11-23T01:32:30.7715961Z               16 LOAD_FAST                2 (c)
2022-11-23T01:32:30.7716057Z               18 LOAD_CONST               3 (3)
2022-11-23T01:32:30.7716135Z               20 BINARY_ADD
2022-11-23T01:32:30.7716231Z               22 CALL_METHOD              3
2022-11-23T01:32:30.7716329Z               24 LOAD_CONST               4 (4)
2022-11-23T01:32:30.7716399Z               26 BINARY_ADD
2022-11-23T01:32:30.7716496Z               28 BUILD_TUPLE              1
2022-11-23T01:32:30.7716581Z               30 RETURN_VALUE
2022-11-23T01:32:30.7716649Z  
2022-11-23T01:32:30.7716655Z 
2022-11-23T01:32:30.7716971Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334
2022-11-23T01:32:30.7717193Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7717553Z [2022-11-23 01:29:00,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7717873Z [2022-11-23 01:29:00,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7718248Z [2022-11-23 01:29:00,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7718653Z [2022-11-23 01:29:00,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7718996Z [2022-11-23 01:29:00,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7719360Z [2022-11-23 01:29:00,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7719774Z [2022-11-23 01:29:00,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7720136Z [2022-11-23 01:29:00,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7720534Z [2022-11-23 01:29:00,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7720964Z [2022-11-23 01:29:00,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7721365Z [2022-11-23 01:29:00,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7721605Z [2022-11-23 01:29:00,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:30.7721890Z [2022-11-23 01:29:00,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7722157Z [2022-11-23 01:29:00,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7722429Z [2022-11-23 01:29:00,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7722802Z [2022-11-23 01:29:00,786] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333>
2022-11-23T01:32:30.7723039Z [2022-11-23 01:29:00,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7723278Z [2022-11-23 01:29:00,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7723534Z [2022-11-23 01:29:00,787] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7723794Z [2022-11-23 01:29:00,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7723987Z [2022-11-23 01:29:00,795] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7724129Z  __compiled_fn_347 <eval_with_key>.2148 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7724225Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7724323Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7724406Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.7724582Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.7724760Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:30.7724961Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:30.7725211Z call_function, addmm, <built-in method addmm of type object at 0x7f209c394c60>, (add, add_1, add_2), {}
2022-11-23T01:32:30.7725390Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T01:32:30.7725514Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:30.7725520Z 
2022-11-23T01:32:30.7725848Z [2022-11-23 01:29:00,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7725952Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7726042Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7726137Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7726238Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7726332Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7726426Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7726508Z              12 RETURN_VALUE
2022-11-23T01:32:30.7726516Z 
2022-11-23T01:32:30.7726583Z  
2022-11-23T01:32:30.7726896Z [2022-11-23 01:29:00,796] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7727019Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_347)
2022-11-23T01:32:30.7727116Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7727214Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7727298Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7727392Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7727488Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7727561Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7727655Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7727748Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7727829Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.7727927Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.7728039Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7728150Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7728251Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7728325Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7728420Z              30 BUILD_TUPLE              1
2022-11-23T01:32:30.7728502Z              32 RETURN_VALUE
2022-11-23T01:32:30.7728508Z 
2022-11-23T01:32:30.7728574Z  
2022-11-23T01:32:30.7728760Z [2022-11-23 01:29:00,796] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7728837Z  - 
2022-11-23T01:32:30.7728961Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7729024Z             {
2022-11-23T01:32:30.7729168Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7729362Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.7729487Z                 'obj_weakref': None
2022-11-23T01:32:30.7729716Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7729786Z             }
2022-11-23T01:32:30.7729854Z             
2022-11-23T01:32:30.7729925Z  - 
2022-11-23T01:32:30.7730057Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7730127Z             {
2022-11-23T01:32:30.7730274Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7730386Z                 'code': None,
2022-11-23T01:32:30.7730608Z                 'obj_weakref': <weakref at 0x7f1feacedee0; to 'Tensor' at 0x7f207272ab10>
2022-11-23T01:32:30.7730855Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7730917Z             }
2022-11-23T01:32:30.7730986Z             
2022-11-23T01:32:30.7731063Z  - 
2022-11-23T01:32:30.7731189Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7731258Z             {
2022-11-23T01:32:30.7731439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7731552Z                 'code': None,
2022-11-23T01:32:30.7731757Z                 'obj_weakref': <weakref at 0x7f1fead0a2f0; to 'Tensor' at 0x7f1ff8152250>
2022-11-23T01:32:30.7732029Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7732098Z             }
2022-11-23T01:32:30.7732166Z             
2022-11-23T01:32:30.7732241Z  - 
2022-11-23T01:32:30.7732369Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.7732437Z             {
2022-11-23T01:32:30.7732575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7732687Z                 'code': None,
2022-11-23T01:32:30.7732901Z                 'obj_weakref': <weakref at 0x7f1fead0b380; to 'Tensor' at 0x7f1ff815bc40>
2022-11-23T01:32:30.7733149Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7733222Z             }
2022-11-23T01:32:30.7733294Z             
2022-11-23T01:32:30.7733371Z  - 
2022-11-23T01:32:30.7733500Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7733570Z             {
2022-11-23T01:32:30.7733718Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7733892Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7734017Z                 'obj_weakref': None
2022-11-23T01:32:30.7734248Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7734318Z             }
2022-11-23T01:32:30.7734379Z             
2022-11-23T01:32:30.7734454Z  - 
2022-11-23T01:32:30.7734581Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7734651Z             {
2022-11-23T01:32:30.7734792Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7735013Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7735138Z                 'obj_weakref': None
2022-11-23T01:32:30.7735355Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7735425Z             }
2022-11-23T01:32:30.7735496Z             
2022-11-23T01:32:30.7735573Z  - 
2022-11-23T01:32:30.7735712Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7735781Z             {
2022-11-23T01:32:30.7735906Z                 'guard_types': None,
2022-11-23T01:32:30.7736009Z                 'code': None,
2022-11-23T01:32:30.7736131Z                 'obj_weakref': None
2022-11-23T01:32:30.7736256Z                 'guarded_class': None
2022-11-23T01:32:30.7736325Z             }
2022-11-23T01:32:30.7736393Z             
2022-11-23T01:32:30.7736654Z [2022-11-23 01:29:00,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337
2022-11-23T01:32:30.7736904Z [2022-11-23 01:29:00,818] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7737145Z [2022-11-23 01:29:00,820] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7737391Z [2022-11-23 01:29:00,821] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.7737639Z [2022-11-23 01:29:00,822] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:30.7737645Z 
2022-11-23T01:32:30.7737745Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7737820Z import torch
2022-11-23T01:32:30.7737895Z import random
2022-11-23T01:32:30.7738018Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7738148Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7738153Z 
2022-11-23T01:32:30.7738230Z aten = torch.ops.aten
2022-11-23T01:32:30.7738371Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7738473Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7738478Z 
2022-11-23T01:32:30.7738585Z import triton
2022-11-23T01:32:30.7738682Z import triton.language as tl
2022-11-23T01:32:30.7739005Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7739153Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7739198Z 
2022-11-23T01:32:30.7739202Z 
2022-11-23T01:32:30.7739366Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7739434Z import triton
2022-11-23T01:32:30.7739527Z import triton.language as tl
2022-11-23T01:32:30.7739643Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7739749Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7739885Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7740014Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7740020Z 
2022-11-23T01:32:30.7740400Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7740475Z @triton.jit
2022-11-23T01:32:30.7740604Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7740678Z     xnumel = 64
2022-11-23T01:32:30.7740782Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7740918Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7741004Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7741076Z     x0 = xindex
2022-11-23T01:32:30.7741176Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7741240Z     tmp1 = 1
2022-11-23T01:32:30.7741322Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7741460Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7741548Z ''')
2022-11-23T01:32:30.7741554Z 
2022-11-23T01:32:30.7741559Z 
2022-11-23T01:32:30.7741716Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:30.7741793Z import triton
2022-11-23T01:32:30.7741887Z import triton.language as tl
2022-11-23T01:32:30.7741998Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7742102Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7742238Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7742371Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7742376Z 
2022-11-23T01:32:30.7742752Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7742825Z @triton.jit
2022-11-23T01:32:30.7742959Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7743036Z     xnumel = 64
2022-11-23T01:32:30.7743129Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7743261Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7743347Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7743419Z     x0 = xindex
2022-11-23T01:32:30.7743521Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7743594Z     tmp1 = 2
2022-11-23T01:32:30.7743674Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7743802Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7743896Z ''')
2022-11-23T01:32:30.7743901Z 
2022-11-23T01:32:30.7743906Z 
2022-11-23T01:32:30.7744062Z triton_fused_add_22 = async_compile.triton('''
2022-11-23T01:32:30.7744138Z import triton
2022-11-23T01:32:30.7744233Z import triton.language as tl
2022-11-23T01:32:30.7744350Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7744454Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7744582Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7744711Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7744717Z 
2022-11-23T01:32:30.7745131Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7745206Z @triton.jit
2022-11-23T01:32:30.7745341Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7745438Z     xnumel = 64
2022-11-23T01:32:30.7745540Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7745672Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7745749Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7745820Z     x0 = xindex
2022-11-23T01:32:30.7745918Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7745990Z     tmp1 = 3
2022-11-23T01:32:30.7746070Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7746206Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7746295Z ''')
2022-11-23T01:32:30.7746300Z 
2022-11-23T01:32:30.7746305Z 
2022-11-23T01:32:30.7746501Z triton_fused_add_1_add_3_add_addmm_add_23 = async_compile.triton('''
2022-11-23T01:32:30.7746572Z import triton
2022-11-23T01:32:30.7746667Z import triton.language as tl
2022-11-23T01:32:30.7746781Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7746884Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7747021Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7747149Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7747155Z 
2022-11-23T01:32:30.7747508Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7747575Z @triton.jit
2022-11-23T01:32:30.7747704Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7747778Z     xnumel = 64
2022-11-23T01:32:30.7747876Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7748007Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7748094Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7748166Z     x0 = xindex
2022-11-23T01:32:30.7748264Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:30.7748336Z     tmp1 = 4
2022-11-23T01:32:30.7748417Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7748564Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7748651Z ''')
2022-11-23T01:32:30.7748657Z 
2022-11-23T01:32:30.7748661Z 
2022-11-23T01:32:30.7748755Z async_compile.wait(globals())
2022-11-23T01:32:30.7748834Z del async_compile
2022-11-23T01:32:30.7748839Z 
2022-11-23T01:32:30.7748915Z def call(args):
2022-11-23T01:32:30.7748996Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.7749073Z     args.clear()
2022-11-23T01:32:30.7749272Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7749364Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7749502Z     triton_fused_add0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7749575Z     del arg0_1
2022-11-23T01:32:30.7749777Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7749906Z     triton_fused_add_11.run(arg1_1, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7749981Z     del arg1_1
2022-11-23T01:32:30.7750176Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7750387Z     triton_fused_add_22.run(arg2_1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7750477Z     del arg2_1
2022-11-23T01:32:30.7750697Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7750842Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T01:32:30.7750906Z     del buf0
2022-11-23T01:32:30.7750976Z     del buf1
2022-11-23T01:32:30.7751045Z     del buf2
2022-11-23T01:32:30.7751140Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.7751293Z     triton_fused_add_1_add_3_add_addmm_add_23.run(buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7751419Z     return (buf4, )
2022-11-23T01:32:30.7751426Z 
2022-11-23T01:32:30.7751430Z 
2022-11-23T01:32:30.7751513Z if __name__ == "__main__":
2022-11-23T01:32:30.7751633Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7751781Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7751985Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7752183Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7752373Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7752502Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.7752508Z 
2022-11-23T01:32:30.7752877Z [2022-11-23 01:29:00,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wu/cwuueoozid6sczdvxrxrcbu2hqlwlkswslfdkn5m3ikw564hbewx.py
2022-11-23T01:32:30.7753149Z [2022-11-23 01:29:00,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337
2022-11-23T01:32:30.7753154Z 
2022-11-23T01:32:30.7753256Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7753331Z import torch
2022-11-23T01:32:30.7753403Z import random
2022-11-23T01:32:30.7753524Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7753651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7753656Z 
2022-11-23T01:32:30.7753740Z aten = torch.ops.aten
2022-11-23T01:32:30.7753882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7753982Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7753987Z 
2022-11-23T01:32:30.7754062Z import triton
2022-11-23T01:32:30.7754148Z import triton.language as tl
2022-11-23T01:32:30.7754277Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7754421Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7754426Z 
2022-11-23T01:32:30.7754430Z 
2022-11-23T01:32:30.7754587Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.7754662Z import triton
2022-11-23T01:32:30.7754756Z import triton.language as tl
2022-11-23T01:32:30.7754870Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7754977Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7755104Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7755232Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7755238Z 
2022-11-23T01:32:30.7755607Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7755680Z @triton.jit
2022-11-23T01:32:30.7755817Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7755892Z     xnumel = 64
2022-11-23T01:32:30.7755990Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7756124Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7756202Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7756274Z     x0 = xindex
2022-11-23T01:32:30.7756394Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7756472Z     tmp1 = 1
2022-11-23T01:32:30.7756552Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7756688Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7756767Z ''')
2022-11-23T01:32:30.7756780Z 
2022-11-23T01:32:30.7756785Z 
2022-11-23T01:32:30.7756932Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:30.7757008Z import triton
2022-11-23T01:32:30.7757101Z import triton.language as tl
2022-11-23T01:32:30.7757220Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7757322Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7757456Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7757612Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7757618Z 
2022-11-23T01:32:30.7757981Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7758069Z @triton.jit
2022-11-23T01:32:30.7758204Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7758279Z     xnumel = 64
2022-11-23T01:32:30.7758377Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7758507Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7758592Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7758663Z     x0 = xindex
2022-11-23T01:32:30.7758774Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7758846Z     tmp1 = 2
2022-11-23T01:32:30.7758926Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7759063Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7759152Z ''')
2022-11-23T01:32:30.7759158Z 
2022-11-23T01:32:30.7759163Z 
2022-11-23T01:32:30.7759318Z triton_fused_add_22 = async_compile.triton('''
2022-11-23T01:32:30.7759395Z import triton
2022-11-23T01:32:30.7759484Z import triton.language as tl
2022-11-23T01:32:30.7759602Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7759704Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7759838Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7759964Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7759969Z 
2022-11-23T01:32:30.7760328Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7760402Z @triton.jit
2022-11-23T01:32:30.7760534Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7760600Z     xnumel = 64
2022-11-23T01:32:30.7760701Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7760831Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7760915Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7760989Z     x0 = xindex
2022-11-23T01:32:30.7761106Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7761179Z     tmp1 = 3
2022-11-23T01:32:30.7761251Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7761385Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7761473Z ''')
2022-11-23T01:32:30.7761478Z 
2022-11-23T01:32:30.7761483Z 
2022-11-23T01:32:30.7761676Z triton_fused_add_1_add_3_addmm_add_2_add3 = async_compile.triton('''
2022-11-23T01:32:30.7761751Z import triton
2022-11-23T01:32:30.7761844Z import triton.language as tl
2022-11-23T01:32:30.7761961Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7762056Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7762192Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7762316Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7762322Z 
2022-11-23T01:32:30.7762673Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.7762753Z @triton.jit
2022-11-23T01:32:30.7762880Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7762954Z     xnumel = 64
2022-11-23T01:32:30.7763052Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7763176Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7763261Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7763332Z     x0 = xindex
2022-11-23T01:32:30.7763456Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.7763527Z     tmp1 = 4
2022-11-23T01:32:30.7763607Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7763777Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.7763858Z ''')
2022-11-23T01:32:30.7763871Z 
2022-11-23T01:32:30.7763876Z 
2022-11-23T01:32:30.7763962Z async_compile.wait(globals())
2022-11-23T01:32:30.7764066Z del async_compile
2022-11-23T01:32:30.7764071Z 
2022-11-23T01:32:30.7764148Z def call(args):
2022-11-23T01:32:30.7764238Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.7764314Z     args.clear()
2022-11-23T01:32:30.7764509Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7764601Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7764732Z     triton_fused_add0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7764805Z     del arg0_1
2022-11-23T01:32:30.7765005Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7765139Z     triton_fused_add_11.run(arg1_1, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7765215Z     del arg1_1
2022-11-23T01:32:30.7765410Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7765548Z     triton_fused_add_22.run(arg2_1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7765617Z     del arg2_1
2022-11-23T01:32:30.7765807Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7765939Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T01:32:30.7766009Z     del buf0
2022-11-23T01:32:30.7766080Z     del buf1
2022-11-23T01:32:30.7766151Z     del buf2
2022-11-23T01:32:30.7766241Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.7766387Z     triton_fused_add_1_add_3_addmm_add_2_add3.run(buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.7766464Z     return (buf4, )
2022-11-23T01:32:30.7766470Z 
2022-11-23T01:32:30.7766474Z 
2022-11-23T01:32:30.7766555Z if __name__ == "__main__":
2022-11-23T01:32:30.7766674Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7766804Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7767002Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7767200Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7767392Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7767512Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.7767527Z 
2022-11-23T01:32:30.7767592Z ok (0.368s)
2022-11-23T01:32:30.7767910Z   test_alexnet_prefix_cuda (__main__.CudaTests) ... [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7768228Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7768454Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7768710Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7768988Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7769314Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7769655Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7769978Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7770391Z [2022-11-23 01:29:00,933] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077> 
2022-11-23T01:32:30.7770490Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7770592Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7770714Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7770824Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T01:32:30.7770829Z 
2022-11-23T01:32:30.7770927Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T01:32:30.7771024Z               10 LOAD_FAST                1 (arg7)
2022-11-23T01:32:30.7771120Z               12 LOAD_FAST                0 (arg6)
2022-11-23T01:32:30.7771209Z               14 LOAD_CONST               1 (4)
2022-11-23T01:32:30.7771306Z               16 LOAD_CONST               1 (4)
2022-11-23T01:32:30.7771401Z               18 BUILD_LIST               2
2022-11-23T01:32:30.7771499Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7771594Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7771688Z               24 BUILD_LIST               2
2022-11-23T01:32:30.7771782Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7771877Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7771962Z               30 BUILD_LIST               2
2022-11-23T01:32:30.7772062Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.7772154Z               34 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7772249Z               36 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7772340Z               38 BUILD_LIST               2
2022-11-23T01:32:30.7772432Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7772437Z 
2022-11-23T01:32:30.7772530Z 2078          42 CALL_METHOD              9
2022-11-23T01:32:30.7772634Z               44 STORE_FAST               3 (convolution)
2022-11-23T01:32:30.7772648Z 
2022-11-23T01:32:30.7772742Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7772842Z               48 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7772942Z               50 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7773038Z               52 LOAD_METHOD              4 (relu)
2022-11-23T01:32:30.7773152Z               54 LOAD_FAST                3 (convolution)
2022-11-23T01:32:30.7773244Z               56 CALL_METHOD              1
2022-11-23T01:32:30.7773340Z               58 STORE_FAST               4 (relu)
2022-11-23T01:32:30.7773345Z 
2022-11-23T01:32:30.7773436Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7773533Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7773630Z               64 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7773754Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7773759Z 
2022-11-23T01:32:30.7773854Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T01:32:30.7773951Z               70 LOAD_CONST               6 (3)
2022-11-23T01:32:30.7774047Z               72 LOAD_CONST               6 (3)
2022-11-23T01:32:30.7774139Z               74 BUILD_LIST               2
2022-11-23T01:32:30.7774224Z               76 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7774322Z               78 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7774414Z               80 BUILD_LIST               2
2022-11-23T01:32:30.7774419Z 
2022-11-23T01:32:30.7774511Z 2082          82 CALL_METHOD              3
2022-11-23T01:32:30.7774635Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7774641Z 
2022-11-23T01:32:30.7774758Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7774851Z               88 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7774935Z               90 BINARY_SUBSCR
2022-11-23T01:32:30.7775031Z               92 STORE_FAST               6 (getitem)
2022-11-23T01:32:30.7775036Z 
2022-11-23T01:32:30.7775164Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T01:32:30.7775259Z               96 BUILD_TUPLE              1
2022-11-23T01:32:30.7775341Z               98 RETURN_VALUE
2022-11-23T01:32:30.7775407Z  
2022-11-23T01:32:30.7775437Z 
2022-11-23T01:32:30.7775765Z [2022-11-23 01:29:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:30.7775988Z [2022-11-23 01:29:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7776349Z [2022-11-23 01:29:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7776636Z [2022-11-23 01:29:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7776954Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7777267Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079
2022-11-23T01:32:30.7777540Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T01:32:30.7777840Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:30.7778162Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7778507Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7779095Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7779511Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7779878Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.7780273Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7780710Z [2022-11-23 01:29:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7781096Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7781522Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7781969Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7782440Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7782890Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.7783396Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:30.7783917Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7784393Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:30.7784709Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:30.7785223Z [2022-11-23 01:29:00,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7785482Z [2022-11-23 01:29:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T01:32:30.7785796Z [2022-11-23 01:29:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081
2022-11-23T01:32:30.7786019Z [2022-11-23 01:29:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7786382Z [2022-11-23 01:29:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7786672Z [2022-11-23 01:29:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7786972Z [2022-11-23 01:29:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7787239Z [2022-11-23 01:29:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T01:32:30.7787519Z [2022-11-23 01:29:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T01:32:30.7787763Z [2022-11-23 01:29:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T01:32:30.7788072Z [2022-11-23 01:29:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:30.7788295Z [2022-11-23 01:29:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7788652Z [2022-11-23 01:29:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7788944Z [2022-11-23 01:29:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7789322Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7789637Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083
2022-11-23T01:32:30.7789939Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.7790304Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.7790682Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7791050Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7791379Z [2022-11-23 01:29:00,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.7791737Z [2022-11-23 01:29:00,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7792137Z [2022-11-23 01:29:00,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7792446Z [2022-11-23 01:29:00,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:30.7792803Z [2022-11-23 01:29:00,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7793075Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T01:32:30.7793379Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085
2022-11-23T01:32:30.7793630Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T01:32:30.7793868Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.7794150Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7794389Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:32:30.7794698Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086
2022-11-23T01:32:30.7794918Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:32:30.7795163Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7795414Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7795802Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077>
2022-11-23T01:32:30.7796050Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7796288Z [2022-11-23 01:29:00,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7796590Z [2022-11-23 01:29:00,960] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7796852Z [2022-11-23 01:29:00,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7797038Z [2022-11-23 01:29:00,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7797208Z  __compiled_fn_348 <eval_with_key>.2154 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7797304Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7797397Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7797490Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.7797656Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T01:32:30.7797778Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T01:32:30.7797939Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.7798169Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.7798278Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:30.7798284Z 
2022-11-23T01:32:30.7798619Z [2022-11-23 01:29:00,964] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7798724Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7798823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7798917Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7799017Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7799109Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7799195Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7799278Z              12 RETURN_VALUE
2022-11-23T01:32:30.7799283Z 
2022-11-23T01:32:30.7799350Z  
2022-11-23T01:32:30.7799677Z [2022-11-23 01:29:00,965] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7799796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_348)
2022-11-23T01:32:30.7799892Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7799993Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7800068Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7800162Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7800258Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7800340Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7800433Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7800526Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7800607Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.7800693Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.7800808Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7800919Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7801016Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7801098Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7801193Z              30 BUILD_TUPLE              1
2022-11-23T01:32:30.7801276Z              32 RETURN_VALUE
2022-11-23T01:32:30.7801282Z 
2022-11-23T01:32:30.7801348Z  
2022-11-23T01:32:30.7801528Z [2022-11-23 01:29:00,965] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7801607Z  - 
2022-11-23T01:32:30.7801730Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7801800Z             {
2022-11-23T01:32:30.7801945Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7802136Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.7802258Z                 'obj_weakref': None
2022-11-23T01:32:30.7802475Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7802546Z             }
2022-11-23T01:32:30.7802614Z             
2022-11-23T01:32:30.7802724Z  - 
2022-11-23T01:32:30.7802855Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7802925Z             {
2022-11-23T01:32:30.7803063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7803200Z                 'code': None,
2022-11-23T01:32:30.7803416Z                 'obj_weakref': <weakref at 0x7f1feacefba0; to 'Tensor' at 0x7f1ff81524d0>
2022-11-23T01:32:30.7803665Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7803734Z             }
2022-11-23T01:32:30.7803805Z             
2022-11-23T01:32:30.7803882Z  - 
2022-11-23T01:32:30.7804007Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7804069Z             {
2022-11-23T01:32:30.7804215Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7804330Z                 'code': None,
2022-11-23T01:32:30.7804540Z                 'obj_weakref': <weakref at 0x7f1feacec310; to 'Tensor' at 0x7f2151eefe20>
2022-11-23T01:32:30.7804795Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7804864Z             }
2022-11-23T01:32:30.7804936Z             
2022-11-23T01:32:30.7805004Z  - 
2022-11-23T01:32:30.7805131Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.7805200Z             {
2022-11-23T01:32:30.7805345Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7805457Z                 'code': None,
2022-11-23T01:32:30.7805672Z                 'obj_weakref': <weakref at 0x7f1ff81db830; to 'Tensor' at 0x7f2151eefd80>
2022-11-23T01:32:30.7805915Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7805976Z             }
2022-11-23T01:32:30.7806045Z             
2022-11-23T01:32:30.7806122Z  - 
2022-11-23T01:32:30.7806257Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7806324Z             {
2022-11-23T01:32:30.7806467Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7806641Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7806756Z                 'obj_weakref': None
2022-11-23T01:32:30.7806990Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7807059Z             }
2022-11-23T01:32:30.7807127Z             
2022-11-23T01:32:30.7807204Z  - 
2022-11-23T01:32:30.7807329Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7807398Z             {
2022-11-23T01:32:30.7807530Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7807746Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7807870Z                 'obj_weakref': None
2022-11-23T01:32:30.7808091Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7808159Z             }
2022-11-23T01:32:30.7808231Z             
2022-11-23T01:32:30.7808308Z  - 
2022-11-23T01:32:30.7808437Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7808508Z             {
2022-11-23T01:32:30.7808633Z                 'guard_types': None,
2022-11-23T01:32:30.7808747Z                 'code': None,
2022-11-23T01:32:30.7808869Z                 'obj_weakref': None
2022-11-23T01:32:30.7808993Z                 'guarded_class': None
2022-11-23T01:32:30.7809054Z             }
2022-11-23T01:32:30.7809121Z             
2022-11-23T01:32:30.7809382Z [2022-11-23 01:29:00,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338
2022-11-23T01:32:30.7809598Z [2022-11-23 01:29:01,054] torch._inductor.scheduler: [DEBUG] removed dead node: buf3
2022-11-23T01:32:30.7809845Z [2022-11-23 01:29:01,054] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7810128Z [2022-11-23 01:29:01,059] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.7810485Z [2022-11-23 01:29:01,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k4/ck4m23sjeyfelrfncpr66qg6y63c42rudkw42vjv66pqdibn4krn.py
2022-11-23T01:32:30.7810772Z [2022-11-23 01:29:01,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338
2022-11-23T01:32:30.7811008Z [2022-11-23 01:29:01,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7811314Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7811539Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7811794Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7812080Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7812395Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7812746Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7813069Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7813452Z [2022-11-23 01:29:01,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077> 
2022-11-23T01:32:30.7813558Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7813659Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7813755Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7813866Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T01:32:30.7813872Z 
2022-11-23T01:32:30.7813970Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T01:32:30.7814070Z               10 LOAD_FAST                1 (arg7)
2022-11-23T01:32:30.7814165Z               12 LOAD_FAST                0 (arg6)
2022-11-23T01:32:30.7814260Z               14 LOAD_CONST               1 (4)
2022-11-23T01:32:30.7814357Z               16 LOAD_CONST               1 (4)
2022-11-23T01:32:30.7814444Z               18 BUILD_LIST               2
2022-11-23T01:32:30.7814538Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7814632Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7814724Z               24 BUILD_LIST               2
2022-11-23T01:32:30.7814818Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7814909Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7815005Z               30 BUILD_LIST               2
2022-11-23T01:32:30.7815104Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:30.7815189Z               34 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7815285Z               36 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7815376Z               38 BUILD_LIST               2
2022-11-23T01:32:30.7815468Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:30.7815473Z 
2022-11-23T01:32:30.7815567Z 2078          42 CALL_METHOD              9
2022-11-23T01:32:30.7815679Z               44 STORE_FAST               3 (convolution)
2022-11-23T01:32:30.7815684Z 
2022-11-23T01:32:30.7815785Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7815875Z               48 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7815973Z               50 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7816069Z               52 LOAD_METHOD              4 (relu)
2022-11-23T01:32:30.7816211Z               54 LOAD_FAST                3 (convolution)
2022-11-23T01:32:30.7816308Z               56 CALL_METHOD              1
2022-11-23T01:32:30.7816406Z               58 STORE_FAST               4 (relu)
2022-11-23T01:32:30.7816433Z 
2022-11-23T01:32:30.7816532Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.7816631Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.7816720Z               64 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.7816844Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7816850Z 
2022-11-23T01:32:30.7816944Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T01:32:30.7817042Z               70 LOAD_CONST               6 (3)
2022-11-23T01:32:30.7817138Z               72 LOAD_CONST               6 (3)
2022-11-23T01:32:30.7817231Z               74 BUILD_LIST               2
2022-11-23T01:32:30.7817323Z               76 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7817418Z               78 LOAD_CONST               2 (2)
2022-11-23T01:32:30.7817504Z               80 BUILD_LIST               2
2022-11-23T01:32:30.7817509Z 
2022-11-23T01:32:30.7817601Z 2082          82 CALL_METHOD              3
2022-11-23T01:32:30.7817726Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7817732Z 
2022-11-23T01:32:30.7817848Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T01:32:30.7817941Z               88 LOAD_CONST               5 (0)
2022-11-23T01:32:30.7818026Z               90 BINARY_SUBSCR
2022-11-23T01:32:30.7818129Z               92 STORE_FAST               6 (getitem)
2022-11-23T01:32:30.7818135Z 
2022-11-23T01:32:30.7818235Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T01:32:30.7818322Z               96 BUILD_TUPLE              1
2022-11-23T01:32:30.7818403Z               98 RETURN_VALUE
2022-11-23T01:32:30.7818472Z  
2022-11-23T01:32:30.7818477Z 
2022-11-23T01:32:30.7819001Z [2022-11-23 01:29:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:30.7819229Z [2022-11-23 01:29:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7819593Z [2022-11-23 01:29:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7819886Z [2022-11-23 01:29:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7820201Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7820511Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079
2022-11-23T01:32:30.7820781Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T01:32:30.7821077Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:30.7821400Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7821740Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7822114Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7822574Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7822939Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.7823357Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7823787Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7824175Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7824591Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7825048Z [2022-11-23 01:29:01,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7825465Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7825913Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.7826393Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:30.7826911Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7827373Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:30.7827680Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:32:30.7828190Z [2022-11-23 01:29:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7828449Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T01:32:30.7828759Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081
2022-11-23T01:32:30.7828978Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7829365Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7829660Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7829991Z [2022-11-23 01:29:01,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7830323Z [2022-11-23 01:29:01,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T01:32:30.7830632Z [2022-11-23 01:29:01,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T01:32:30.7830877Z [2022-11-23 01:29:01,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T01:32:30.7831190Z [2022-11-23 01:29:01,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:30.7831404Z [2022-11-23 01:29:01,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.7831766Z [2022-11-23 01:29:01,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7832056Z [2022-11-23 01:29:01,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.7832384Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.7832693Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083
2022-11-23T01:32:30.7832976Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:30.7833279Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:30.7833619Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7833989Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7834314Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.7834678Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7835069Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.7835378Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:32:30.7835731Z [2022-11-23 01:29:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.7836003Z [2022-11-23 01:29:01,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T01:32:30.7836341Z [2022-11-23 01:29:01,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085
2022-11-23T01:32:30.7836596Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T01:32:30.7836832Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:30.7837142Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7837391Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:32:30.7837700Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086
2022-11-23T01:32:30.7837919Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:32:30.7838162Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.7838413Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7838804Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157eca4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077>
2022-11-23T01:32:30.7839059Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7839295Z [2022-11-23 01:29:01,237] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7839553Z [2022-11-23 01:29:01,238] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7839807Z [2022-11-23 01:29:01,243] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7840003Z [2022-11-23 01:29:01,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7840145Z  __compiled_fn_349 <eval_with_key>.2160 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7840233Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7840326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.7840420Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.7840586Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T01:32:30.7840708Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T01:32:30.7840873Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.7841099Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:30.7841207Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:30.7841213Z 
2022-11-23T01:32:30.7841537Z [2022-11-23 01:29:01,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7841639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7841741Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7841839Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7841938Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7842030Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7842124Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7842207Z              12 RETURN_VALUE
2022-11-23T01:32:30.7842212Z 
2022-11-23T01:32:30.7842271Z  
2022-11-23T01:32:30.7842597Z [2022-11-23 01:29:01,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7842717Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_349)
2022-11-23T01:32:30.7842816Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7842954Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7843038Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7843135Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7843223Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7843328Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.7843424Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7843521Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7843602Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.7843695Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.7843807Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7843909Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7844004Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7844085Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7844181Z              30 BUILD_TUPLE              1
2022-11-23T01:32:30.7844263Z              32 RETURN_VALUE
2022-11-23T01:32:30.7844272Z 
2022-11-23T01:32:30.7844339Z  
2022-11-23T01:32:30.7844529Z [2022-11-23 01:29:01,244] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7844606Z  - 
2022-11-23T01:32:30.7844725Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7844799Z             {
2022-11-23T01:32:30.7844946Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7845140Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.7845266Z                 'obj_weakref': None
2022-11-23T01:32:30.7845496Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7845566Z             }
2022-11-23T01:32:30.7845628Z             
2022-11-23T01:32:30.7845706Z  - 
2022-11-23T01:32:30.7845836Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7845905Z             {
2022-11-23T01:32:30.7846053Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7846164Z                 'code': None,
2022-11-23T01:32:30.7846374Z                 'obj_weakref': <weakref at 0x7f1fead4e700; to 'Tensor' at 0x7f2023072570>
2022-11-23T01:32:30.7846622Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7846696Z             }
2022-11-23T01:32:30.7846764Z             
2022-11-23T01:32:30.7846839Z  - 
2022-11-23T01:32:30.7846974Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.7847043Z             {
2022-11-23T01:32:30.7847182Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7847294Z                 'code': None,
2022-11-23T01:32:30.7847506Z                 'obj_weakref': <weakref at 0x7f1fead4e3e0; to 'Tensor' at 0x7f1ff81c0f40>
2022-11-23T01:32:30.7847756Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7847824Z             }
2022-11-23T01:32:30.7847894Z             
2022-11-23T01:32:30.7847970Z  - 
2022-11-23T01:32:30.7848101Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.7848163Z             {
2022-11-23T01:32:30.7848310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7848424Z                 'code': None,
2022-11-23T01:32:30.7848639Z                 'obj_weakref': <weakref at 0x7f1fead4e200; to 'Tensor' at 0x7f1ff81dbd30>
2022-11-23T01:32:30.7848888Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7848958Z             }
2022-11-23T01:32:30.7849027Z             
2022-11-23T01:32:30.7849095Z  - 
2022-11-23T01:32:30.7849230Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7849298Z             {
2022-11-23T01:32:30.7849439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7849614Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7849739Z                 'obj_weakref': None
2022-11-23T01:32:30.7850006Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7850069Z             }
2022-11-23T01:32:30.7850138Z             
2022-11-23T01:32:30.7850215Z  - 
2022-11-23T01:32:30.7850366Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7850434Z             {
2022-11-23T01:32:30.7850576Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7850796Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7850912Z                 'obj_weakref': None
2022-11-23T01:32:30.7851134Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7851203Z             }
2022-11-23T01:32:30.7851271Z             
2022-11-23T01:32:30.7851347Z  - 
2022-11-23T01:32:30.7851484Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7851553Z             {
2022-11-23T01:32:30.7851669Z                 'guard_types': None,
2022-11-23T01:32:30.7851784Z                 'code': None,
2022-11-23T01:32:30.7851907Z                 'obj_weakref': None
2022-11-23T01:32:30.7852034Z                 'guarded_class': None
2022-11-23T01:32:30.7852103Z             }
2022-11-23T01:32:30.7852174Z             
2022-11-23T01:32:30.7852427Z [2022-11-23 01:29:01,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339
2022-11-23T01:32:30.7852644Z [2022-11-23 01:29:01,296] torch._inductor.scheduler: [DEBUG] removed dead node: buf3
2022-11-23T01:32:30.7852892Z [2022-11-23 01:29:01,296] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.7853137Z [2022-11-23 01:29:01,298] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.7853143Z 
2022-11-23T01:32:30.7853246Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7853321Z import torch
2022-11-23T01:32:30.7853399Z import random
2022-11-23T01:32:30.7853524Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7853645Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7853657Z 
2022-11-23T01:32:30.7853735Z aten = torch.ops.aten
2022-11-23T01:32:30.7853875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7853977Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7853982Z 
2022-11-23T01:32:30.7854057Z import triton
2022-11-23T01:32:30.7854151Z import triton.language as tl
2022-11-23T01:32:30.7854281Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7854425Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7854431Z 
2022-11-23T01:32:30.7854436Z 
2022-11-23T01:32:30.7854608Z triton_fused_convolution_relu0 = async_compile.triton('''
2022-11-23T01:32:30.7854685Z import triton
2022-11-23T01:32:30.7854779Z import triton.language as tl
2022-11-23T01:32:30.7854895Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7854999Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7855137Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7855269Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7855275Z 
2022-11-23T01:32:30.7855658Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7855725Z @triton.jit
2022-11-23T01:32:30.7855865Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7855942Z     xnumel = 3097600
2022-11-23T01:32:30.7856042Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7856178Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7856263Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7856336Z     x3 = xindex
2022-11-23T01:32:30.7856415Z     x1 = (xindex // 3025) % 64
2022-11-23T01:32:30.7856521Z     tmp0 = tl.load(in_out_ptr0 + (x3), xmask)
2022-11-23T01:32:30.7856653Z     tmp1 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:30.7856735Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7856825Z     tmp3 = tl.maximum(0, tmp2)
2022-11-23T01:32:30.7856990Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.7857081Z ''')
2022-11-23T01:32:30.7857087Z 
2022-11-23T01:32:30.7857092Z 
2022-11-23T01:32:30.7857311Z triton_fused_convolution_relu_max_pool2d_with_indices1 = async_compile.triton('''
2022-11-23T01:32:30.7857379Z import triton
2022-11-23T01:32:30.7857474Z import triton.language as tl
2022-11-23T01:32:30.7857591Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7857695Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7857831Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7857959Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7857965Z 
2022-11-23T01:32:30.7858343Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7858419Z @triton.jit
2022-11-23T01:32:30.7858548Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7858624Z     xnumel = 746496
2022-11-23T01:32:30.7858724Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7858981Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7859067Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7859144Z     x0 = xindex % 27
2022-11-23T01:32:30.7859228Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:30.7859302Z     x2 = (xindex // 729)
2022-11-23T01:32:30.7859375Z     x3 = xindex
2022-11-23T01:32:30.7859498Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7859622Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7859745Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7859869Z     tmp12 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7859991Z     tmp17 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7860104Z     tmp22 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7860227Z     tmp27 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7860348Z     tmp32 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7860464Z     tmp37 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.7860547Z     tmp1 = (2*x0) + (110*x1)
2022-11-23T01:32:30.7860631Z     tmp3 = 1 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7860711Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:30.7860802Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:30.7860896Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:30.7860980Z     tmp8 = 2 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7861061Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:30.7861159Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:30.7861254Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:30.7861340Z     tmp13 = 55 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7861414Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:30.7861514Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:30.7861611Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:30.7861694Z     tmp18 = 56 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7861775Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:30.7861875Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:30.7861971Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:30.7862045Z     tmp23 = 57 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7862126Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:30.7862224Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:30.7862318Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:30.7862402Z     tmp28 = 110 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7862528Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:30.7862632Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:30.7862719Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:30.7862831Z     tmp33 = 111 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7862911Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:30.7863010Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:30.7863103Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:30.7863186Z     tmp38 = 112 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7863266Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:30.7863355Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:30.7863448Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:30.7863586Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:30.7863677Z ''')
2022-11-23T01:32:30.7863683Z 
2022-11-23T01:32:30.7863688Z 
2022-11-23T01:32:30.7863782Z async_compile.wait(globals())
2022-11-23T01:32:30.7863861Z del async_compile
2022-11-23T01:32:30.7863869Z 
2022-11-23T01:32:30.7863945Z def call(args):
2022-11-23T01:32:30.7864034Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.7864103Z     args.clear()
2022-11-23T01:32:30.7864249Z     buf0 = aten.convolution(arg2_1, arg1_1, None, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:30.7864375Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T01:32:30.7864450Z     del arg1_1
2022-11-23T01:32:30.7864523Z     del arg2_1
2022-11-23T01:32:30.7864653Z     buf1 = as_strided(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:30.7864745Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7864897Z     triton_fused_convolution_relu0.run(buf1, arg0_1, 3097600, grid=grid(3097600), stream=stream0)
2022-11-23T01:32:30.7864970Z     del arg0_1
2022-11-23T01:32:30.7865198Z     buf2 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7865381Z     triton_fused_convolution_relu_max_pool2d_with_indices1.run(buf1, buf2, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:30.7865461Z     return (buf2, )
2022-11-23T01:32:30.7865467Z 
2022-11-23T01:32:30.7865472Z 
2022-11-23T01:32:30.7865556Z if __name__ == "__main__":
2022-11-23T01:32:30.7865677Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7865806Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7865998Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7866218Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7866451Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7866580Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.7866586Z 
2022-11-23T01:32:30.7866951Z [2022-11-23 01:29:01,437] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7o3byjijeypnulm2fgkf7udbnsocemw3c6c4q44ji4uyvkjg2m.py
2022-11-23T01:32:30.7867216Z [2022-11-23 01:29:01,437] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339
2022-11-23T01:32:30.7867225Z 
2022-11-23T01:32:30.7867328Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7867403Z import torch
2022-11-23T01:32:30.7867478Z import random
2022-11-23T01:32:30.7867592Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7867719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7867724Z 
2022-11-23T01:32:30.7867809Z aten = torch.ops.aten
2022-11-23T01:32:30.7867949Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7868047Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7868052Z 
2022-11-23T01:32:30.7868128Z import triton
2022-11-23T01:32:30.7868223Z import triton.language as tl
2022-11-23T01:32:30.7868344Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7868523Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7868530Z 
2022-11-23T01:32:30.7868534Z 
2022-11-23T01:32:30.7868714Z triton_fused_convolution_relu0 = async_compile.triton('''
2022-11-23T01:32:30.7868813Z import triton
2022-11-23T01:32:30.7868909Z import triton.language as tl
2022-11-23T01:32:30.7869026Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7869130Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7869262Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7869386Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7869391Z 
2022-11-23T01:32:30.7869771Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7869846Z @triton.jit
2022-11-23T01:32:30.7869987Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7870067Z     xnumel = 3097600
2022-11-23T01:32:30.7870167Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7870372Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7870481Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7870547Z     x3 = xindex
2022-11-23T01:32:30.7870634Z     x1 = (xindex // 3025) % 64
2022-11-23T01:32:30.7870761Z     tmp0 = tl.load(in_out_ptr0 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:30.7870881Z     tmp1 = tl.load(in_ptr0 + (x1), xmask).to(tl.float32)
2022-11-23T01:32:30.7870962Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.7871052Z     tmp3 = tl.maximum(0, tmp2)
2022-11-23T01:32:30.7871196Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.7871278Z ''')
2022-11-23T01:32:30.7871283Z 
2022-11-23T01:32:30.7871296Z 
2022-11-23T01:32:30.7871507Z triton_fused_convolution_relu_max_pool2d_with_indices1 = async_compile.triton('''
2022-11-23T01:32:30.7871586Z import triton
2022-11-23T01:32:30.7871681Z import triton.language as tl
2022-11-23T01:32:30.7871799Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7871904Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7872042Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.7872171Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7872177Z 
2022-11-23T01:32:30.7872545Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.7872622Z @triton.jit
2022-11-23T01:32:30.7872756Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.7872836Z     xnumel = 746496
2022-11-23T01:32:30.7872935Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7873067Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.7873155Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7873226Z     x0 = xindex % 27
2022-11-23T01:32:30.7873311Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:30.7873394Z     x2 = (xindex // 729)
2022-11-23T01:32:30.7873467Z     x3 = xindex
2022-11-23T01:32:30.7873613Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7873754Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7873890Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874027Z     tmp12 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874155Z     tmp17 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874290Z     tmp22 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874461Z     tmp27 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874597Z     tmp32 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874728Z     tmp37 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.7874836Z     tmp1 = (2*x0) + (110*x1)
2022-11-23T01:32:30.7874921Z     tmp3 = 1 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7875003Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:30.7875095Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:30.7875194Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:30.7875277Z     tmp8 = 2 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7875360Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:30.7875458Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:30.7875554Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:30.7875638Z     tmp13 = 55 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7875713Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:30.7875819Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:30.7875922Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:30.7876006Z     tmp18 = 56 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7876088Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:30.7876188Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:30.7876279Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:30.7876362Z     tmp23 = 57 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7876442Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:30.7876542Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:30.7876636Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:30.7876722Z     tmp28 = 110 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7876804Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:30.7876896Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:30.7876991Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:30.7877076Z     tmp33 = 111 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7877157Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:30.7877255Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:30.7877351Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:30.7877437Z     tmp38 = 112 + (2*x0) + (110*x1)
2022-11-23T01:32:30.7877510Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:30.7877613Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:30.7877707Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:30.7877847Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:30.7877936Z ''')
2022-11-23T01:32:30.7877942Z 
2022-11-23T01:32:30.7877946Z 
2022-11-23T01:32:30.7878044Z async_compile.wait(globals())
2022-11-23T01:32:30.7878123Z del async_compile
2022-11-23T01:32:30.7878129Z 
2022-11-23T01:32:30.7878204Z def call(args):
2022-11-23T01:32:30.7878285Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.7878363Z     args.clear()
2022-11-23T01:32:30.7878508Z     buf0 = aten.convolution(arg2_1, arg1_1, None, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:30.7878629Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T01:32:30.7878705Z     del arg1_1
2022-11-23T01:32:30.7878781Z     del arg2_1
2022-11-23T01:32:30.7878911Z     buf1 = as_strided(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:30.7879001Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7879160Z     triton_fused_convolution_relu0.run(buf1, arg0_1, 3097600, grid=grid(3097600), stream=stream0)
2022-11-23T01:32:30.7879235Z     del arg0_1
2022-11-23T01:32:30.7879463Z     buf2 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7879644Z     triton_fused_convolution_relu_max_pool2d_with_indices1.run(buf1, buf2, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:30.7879724Z     return (buf2, )
2022-11-23T01:32:30.7879730Z 
2022-11-23T01:32:30.7879734Z 
2022-11-23T01:32:30.7879818Z if __name__ == "__main__":
2022-11-23T01:32:30.7879941Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7880095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7880299Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7880520Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7880776Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7880907Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.7880912Z 
2022-11-23T01:32:30.7880985Z ok (0.527s)
2022-11-23T01:32:30.7881291Z   test_any_cuda (__main__.CudaTests) ... [2022-11-23 01:29:01,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7881615Z [2022-11-23 01:29:01,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7881837Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7882090Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7882372Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7882695Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7883039Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7883362Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7883742Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:30.7883845Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7883947Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7884095Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.7884185Z                6 CALL_METHOD              1
2022-11-23T01:32:30.7884199Z 
2022-11-23T01:32:30.7884290Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7884393Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7884489Z               12 CALL_METHOD              0
2022-11-23T01:32:30.7884587Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7884682Z               16 CALL_METHOD              0
2022-11-23T01:32:30.7884687Z 
2022-11-23T01:32:30.7884789Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7884887Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:30.7884979Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7885079Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7885174Z               26 CALL_METHOD              0
2022-11-23T01:32:30.7885271Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:30.7885427Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:30.7885526Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.7885531Z 
2022-11-23T01:32:30.7885630Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7885730Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:30.7885822Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7885931Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:30.7886027Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7886124Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7886218Z               46 CALL_METHOD              0
2022-11-23T01:32:30.7886350Z               48 CALL_METHOD              1
2022-11-23T01:32:30.7886445Z               50 CALL_METHOD              1
2022-11-23T01:32:30.7886450Z 
2022-11-23T01:32:30.7886536Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:30.7886670Z               54 RETURN_VALUE
2022-11-23T01:32:30.7886739Z  
2022-11-23T01:32:30.7886744Z 
2022-11-23T01:32:30.7887066Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:30.7887282Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7887530Z [2022-11-23 01:29:01,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:30.7887813Z [2022-11-23 01:29:01,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7888129Z [2022-11-23 01:29:01,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.7888445Z [2022-11-23 01:29:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:30.7888686Z [2022-11-23 01:29:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.7888961Z [2022-11-23 01:29:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7889269Z [2022-11-23 01:29:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7889539Z [2022-11-23 01:29:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7889848Z [2022-11-23 01:29:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7890164Z [2022-11-23 01:29:01,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:30.7890445Z [2022-11-23 01:29:01,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7890862Z [2022-11-23 01:29:01,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7891234Z [2022-11-23 01:29:01,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7891637Z [2022-11-23 01:29:01,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7892070Z [2022-11-23 01:29:01,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7892464Z [2022-11-23 01:29:01,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7892899Z [2022-11-23 01:29:01,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7893399Z [2022-11-23 01:29:01,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.7893713Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:30.7894036Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7894484Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7894896Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7895459Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7895973Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7896504Z [2022-11-23 01:29:01,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7897074Z [2022-11-23 01:29:01,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7897601Z [2022-11-23 01:29:01,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7898024Z [2022-11-23 01:29:01,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7898340Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:30.7898661Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7899104Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7899486Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:30.7899735Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7899971Z [2022-11-23 01:29:01,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7900221Z [2022-11-23 01:29:01,454] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7900532Z [2022-11-23 01:29:01,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7900730Z [2022-11-23 01:29:01,460] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7900907Z  __compiled_fn_350 <eval_with_key>.2166 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7901006Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7901151Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:30.7901252Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7901351Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:30.7901447Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7901693Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:30.7901796Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7902053Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:30.7902293Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:30.7902422Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:30.7902431Z 
2022-11-23T01:32:30.7902769Z [2022-11-23 01:29:01,460] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7902871Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7902963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7903060Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7903162Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7903259Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7903357Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7903440Z              12 RETURN_VALUE
2022-11-23T01:32:30.7903445Z 
2022-11-23T01:32:30.7903513Z  
2022-11-23T01:32:30.7903845Z [2022-11-23 01:29:01,460] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7903958Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_350)
2022-11-23T01:32:30.7904059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7904158Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7904241Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7904336Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7904448Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7904559Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7904649Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7904735Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7904846Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7904942Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7905027Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7905136Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7905233Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7905314Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7905425Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7905521Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.7905603Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.7905701Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.7905783Z              38 RETURN_VALUE
2022-11-23T01:32:30.7905789Z 
2022-11-23T01:32:30.7905857Z  
2022-11-23T01:32:30.7906047Z [2022-11-23 01:29:01,461] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7906119Z  - 
2022-11-23T01:32:30.7906246Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7906316Z             {
2022-11-23T01:32:30.7906463Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7906694Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7906822Z                 'obj_weakref': None
2022-11-23T01:32:30.7907053Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7907141Z             }
2022-11-23T01:32:30.7907211Z             
2022-11-23T01:32:30.7907288Z  - 
2022-11-23T01:32:30.7907421Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7907490Z             {
2022-11-23T01:32:30.7907642Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7907756Z                 'code': None,
2022-11-23T01:32:30.7907968Z                 'obj_weakref': <weakref at 0x7f1fead4e430; to 'Tensor' at 0x7f1ff81427a0>
2022-11-23T01:32:30.7908225Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7908298Z             }
2022-11-23T01:32:30.7908370Z             
2022-11-23T01:32:30.7908447Z  - 
2022-11-23T01:32:30.7908589Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7908661Z             {
2022-11-23T01:32:30.7908798Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7908982Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7909115Z                 'obj_weakref': None
2022-11-23T01:32:30.7909350Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7909421Z             }
2022-11-23T01:32:30.7909492Z             
2022-11-23T01:32:30.7909570Z  - 
2022-11-23T01:32:30.7909692Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7909762Z             {
2022-11-23T01:32:30.7909907Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7910130Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7910328Z                 'obj_weakref': None
2022-11-23T01:32:30.7910586Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7910671Z             }
2022-11-23T01:32:30.7910746Z             
2022-11-23T01:32:30.7910836Z  - 
2022-11-23T01:32:30.7910982Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7911053Z             {
2022-11-23T01:32:30.7911180Z                 'guard_types': None,
2022-11-23T01:32:30.7911296Z                 'code': None,
2022-11-23T01:32:30.7911414Z                 'obj_weakref': None
2022-11-23T01:32:30.7911543Z                 'guarded_class': None
2022-11-23T01:32:30.7911614Z             }
2022-11-23T01:32:30.7911683Z             
2022-11-23T01:32:30.7911952Z [2022-11-23 01:29:01,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340
2022-11-23T01:32:30.7912682Z [2022-11-23 01:29:01,487] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.7913051Z [2022-11-23 01:29:01,749] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qb/cqbv4pvrpzbnlm46ygoqi5ucp7ubfrj3o7hlal3ps2dit5bodfwt.py
2022-11-23T01:32:30.7913326Z [2022-11-23 01:29:01,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340
2022-11-23T01:32:30.7913570Z [2022-11-23 01:29:01,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7913888Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7914106Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7914403Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7914689Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7915035Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7915383Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7915709Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7916087Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:30.7916194Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7916299Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7916438Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.7916540Z                6 CALL_METHOD              1
2022-11-23T01:32:30.7916546Z 
2022-11-23T01:32:30.7916645Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7916752Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7916847Z               12 CALL_METHOD              0
2022-11-23T01:32:30.7916947Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7917042Z               16 CALL_METHOD              0
2022-11-23T01:32:30.7917047Z 
2022-11-23T01:32:30.7917148Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7917238Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:30.7917335Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7917436Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7917533Z               26 CALL_METHOD              0
2022-11-23T01:32:30.7917632Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:30.7917782Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:30.7917888Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.7917893Z 
2022-11-23T01:32:30.7917995Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7918087Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:30.7918186Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7918297Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:30.7918392Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7918491Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7918586Z               46 CALL_METHOD              0
2022-11-23T01:32:30.7918681Z               48 CALL_METHOD              1
2022-11-23T01:32:30.7918769Z               50 CALL_METHOD              1
2022-11-23T01:32:30.7918774Z 
2022-11-23T01:32:30.7918871Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:30.7918954Z               54 RETURN_VALUE
2022-11-23T01:32:30.7919026Z  
2022-11-23T01:32:30.7919031Z 
2022-11-23T01:32:30.7919349Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:30.7919565Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7919811Z [2022-11-23 01:29:01,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:30.7920089Z [2022-11-23 01:29:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7920403Z [2022-11-23 01:29:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.7920737Z [2022-11-23 01:29:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:30.7920978Z [2022-11-23 01:29:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.7921281Z [2022-11-23 01:29:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7921591Z [2022-11-23 01:29:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7921859Z [2022-11-23 01:29:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7922163Z [2022-11-23 01:29:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7922477Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:30.7922751Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7923169Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7923543Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7923942Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7924379Z [2022-11-23 01:29:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7924769Z [2022-11-23 01:29:01,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7925210Z [2022-11-23 01:29:01,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7925690Z [2022-11-23 01:29:01,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.7926002Z [2022-11-23 01:29:01,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:30.7926308Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7926756Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7927159Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7927733Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7928259Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7928792Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7929365Z [2022-11-23 01:29:01,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7929899Z [2022-11-23 01:29:01,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7930320Z [2022-11-23 01:29:01,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7930633Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:30.7930963Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7931215Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7931601Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:30.7931853Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7932088Z [2022-11-23 01:29:01,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7932350Z [2022-11-23 01:29:01,764] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7932608Z [2022-11-23 01:29:01,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7932805Z [2022-11-23 01:29:01,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7932949Z  __compiled_fn_351 <eval_with_key>.2172 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7933048Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7933194Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:30.7933297Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7933387Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:30.7933490Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7933737Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:30.7933839Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7934098Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:30.7934375Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:30.7934505Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:30.7934511Z 
2022-11-23T01:32:30.7934843Z [2022-11-23 01:29:01,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7934960Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7935059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7935155Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7935257Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7935352Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7935448Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7935532Z              12 RETURN_VALUE
2022-11-23T01:32:30.7935537Z 
2022-11-23T01:32:30.7935604Z  
2022-11-23T01:32:30.7935927Z [2022-11-23 01:29:01,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7936045Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_351)
2022-11-23T01:32:30.7936144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7936245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7936329Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7936423Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7936535Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7936639Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7936737Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7936820Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7936930Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7937025Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7937107Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7937217Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7937314Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7937389Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7937498Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7937598Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.7937680Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.7937775Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.7937858Z              38 RETURN_VALUE
2022-11-23T01:32:30.7937863Z 
2022-11-23T01:32:30.7937931Z  
2022-11-23T01:32:30.7938115Z [2022-11-23 01:29:01,771] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7938193Z  - 
2022-11-23T01:32:30.7938321Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7938390Z             {
2022-11-23T01:32:30.7938538Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7938733Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7939070Z                 'obj_weakref': None
2022-11-23T01:32:30.7939299Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7939375Z             }
2022-11-23T01:32:30.7939446Z             
2022-11-23T01:32:30.7939523Z  - 
2022-11-23T01:32:30.7939658Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7939728Z             {
2022-11-23T01:32:30.7939878Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7939984Z                 'code': None,
2022-11-23T01:32:30.7940205Z                 'obj_weakref': <weakref at 0x7f1fead4f100; to 'Tensor' at 0x7f1feadc2ac0>
2022-11-23T01:32:30.7940461Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7940532Z             }
2022-11-23T01:32:30.7940603Z             
2022-11-23T01:32:30.7940681Z  - 
2022-11-23T01:32:30.7940818Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7940933Z             {
2022-11-23T01:32:30.7941077Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7941256Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7941407Z                 'obj_weakref': None
2022-11-23T01:32:30.7941640Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7941710Z             }
2022-11-23T01:32:30.7941782Z             
2022-11-23T01:32:30.7941852Z  - 
2022-11-23T01:32:30.7941983Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7942055Z             {
2022-11-23T01:32:30.7942223Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7942470Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7942595Z                 'obj_weakref': None
2022-11-23T01:32:30.7942821Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7942887Z             }
2022-11-23T01:32:30.7942961Z             
2022-11-23T01:32:30.7943037Z  - 
2022-11-23T01:32:30.7943180Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7943251Z             {
2022-11-23T01:32:30.7943388Z                 'guard_types': None,
2022-11-23T01:32:30.7943501Z                 'code': None,
2022-11-23T01:32:30.7943617Z                 'obj_weakref': None
2022-11-23T01:32:30.7943746Z                 'guarded_class': None
2022-11-23T01:32:30.7943816Z             }
2022-11-23T01:32:30.7943886Z             
2022-11-23T01:32:30.7944153Z [2022-11-23 01:29:01,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341
2022-11-23T01:32:30.7944840Z [2022-11-23 01:29:01,797] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.7945215Z [2022-11-23 01:29:01,980] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2lmdcjrpxq54ud6bjlfifvvherll3yivecle6wu4htkfaksm3u.py
2022-11-23T01:32:30.7945492Z [2022-11-23 01:29:01,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341
2022-11-23T01:32:30.7945726Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7946046Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7946272Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7946532Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7946817Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7947141Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7947493Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7947820Z [2022-11-23 01:29:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.7948201Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:30.7948304Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7948432Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7948579Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.7948676Z                6 CALL_METHOD              1
2022-11-23T01:32:30.7948682Z 
2022-11-23T01:32:30.7948810Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7948912Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7949008Z               12 CALL_METHOD              0
2022-11-23T01:32:30.7949109Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.7949205Z               16 CALL_METHOD              0
2022-11-23T01:32:30.7949210Z 
2022-11-23T01:32:30.7949304Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7949403Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:30.7949499Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7949602Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7949697Z               26 CALL_METHOD              0
2022-11-23T01:32:30.7949798Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:30.7949951Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:30.7950042Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.7950059Z 
2022-11-23T01:32:30.7950152Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7950340Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:30.7950456Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.7950577Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:30.7950686Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:30.7950799Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.7950906Z               46 CALL_METHOD              0
2022-11-23T01:32:30.7951005Z               48 CALL_METHOD              1
2022-11-23T01:32:30.7951100Z               50 CALL_METHOD              1
2022-11-23T01:32:30.7951105Z 
2022-11-23T01:32:30.7951203Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:30.7951286Z               54 RETURN_VALUE
2022-11-23T01:32:30.7951356Z  
2022-11-23T01:32:30.7951361Z 
2022-11-23T01:32:30.7951685Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:30.7951907Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.7952156Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:30.7952429Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7952745Z [2022-11-23 01:29:01,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.7953065Z [2022-11-23 01:29:01,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:30.7953314Z [2022-11-23 01:29:01,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.7953593Z [2022-11-23 01:29:01,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7953903Z [2022-11-23 01:29:01,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7954178Z [2022-11-23 01:29:01,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7954487Z [2022-11-23 01:29:01,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.7954851Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:30.7955133Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7955559Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7955949Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7956353Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7956796Z [2022-11-23 01:29:01,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7957199Z [2022-11-23 01:29:01,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7957652Z [2022-11-23 01:29:01,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.7958137Z [2022-11-23 01:29:01,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.7958458Z [2022-11-23 01:29:01,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:30.7958769Z [2022-11-23 01:29:01,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7959219Z [2022-11-23 01:29:01,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7959629Z [2022-11-23 01:29:01,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7960192Z [2022-11-23 01:29:01,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.7960715Z [2022-11-23 01:29:01,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.7961263Z [2022-11-23 01:29:01,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7961871Z [2022-11-23 01:29:01,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.7962414Z [2022-11-23 01:29:01,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7962868Z [2022-11-23 01:29:01,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.7963186Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:30.7963518Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.7963770Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7964153Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:30.7964397Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.7964637Z [2022-11-23 01:29:01,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.7964900Z [2022-11-23 01:29:01,995] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.7965159Z [2022-11-23 01:29:02,001] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.7965357Z [2022-11-23 01:29:02,002] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.7965503Z  __compiled_fn_352 <eval_with_key>.2178 opcode, name, target, args, kwargs
2022-11-23T01:32:30.7965600Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.7965745Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:30.7965838Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7965937Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:30.7966039Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7966285Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:30.7966387Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:30.7966643Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:30.7966883Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:30.7967017Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:30.7967023Z 
2022-11-23T01:32:30.7967346Z [2022-11-23 01:29:02,002] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7967455Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.7967555Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7967650Z               4 BUILD_MAP                0
2022-11-23T01:32:30.7967752Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.7967845Z               8 DICT_MERGE               1
2022-11-23T01:32:30.7967941Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.7968030Z              12 RETURN_VALUE
2022-11-23T01:32:30.7968035Z 
2022-11-23T01:32:30.7968096Z  
2022-11-23T01:32:30.7968428Z [2022-11-23 01:29:02,002] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.7968576Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_352)
2022-11-23T01:32:30.7968677Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.7968775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7968886Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.7968981Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.7969086Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.7969197Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7969295Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.7969380Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.7969490Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7969588Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.7969673Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.7969782Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7969874Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.7969958Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.7970067Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.7970164Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.7970251Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.7970346Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.7970429Z              38 RETURN_VALUE
2022-11-23T01:32:30.7970435Z 
2022-11-23T01:32:30.7970495Z  
2022-11-23T01:32:30.7970690Z [2022-11-23 01:29:02,003] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.7970769Z  - 
2022-11-23T01:32:30.7970900Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.7970971Z             {
2022-11-23T01:32:30.7971120Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.7971314Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.7971434Z                 'obj_weakref': None
2022-11-23T01:32:30.7971667Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.7971740Z             }
2022-11-23T01:32:30.7971810Z             
2022-11-23T01:32:30.7971887Z  - 
2022-11-23T01:32:30.7972022Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.7972091Z             {
2022-11-23T01:32:30.7972248Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.7972375Z                 'code': None,
2022-11-23T01:32:30.7972616Z                 'obj_weakref': <weakref at 0x7f1fe8168ef0; to 'Tensor' at 0x7f1fead3c3b0>
2022-11-23T01:32:30.7972870Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.7972941Z             }
2022-11-23T01:32:30.7973012Z             
2022-11-23T01:32:30.7973089Z  - 
2022-11-23T01:32:30.7973218Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.7973288Z             {
2022-11-23T01:32:30.7973429Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.7973607Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.7973733Z                 'obj_weakref': None
2022-11-23T01:32:30.7973966Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.7974040Z             }
2022-11-23T01:32:30.7974102Z             
2022-11-23T01:32:30.7974179Z  - 
2022-11-23T01:32:30.7974307Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.7974377Z             {
2022-11-23T01:32:30.7974520Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.7974736Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.7974861Z                 'obj_weakref': None
2022-11-23T01:32:30.7975076Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.7975147Z             }
2022-11-23T01:32:30.7975215Z             
2022-11-23T01:32:30.7975325Z  - 
2022-11-23T01:32:30.7975466Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.7975536Z             {
2022-11-23T01:32:30.7975662Z                 'guard_types': None,
2022-11-23T01:32:30.7975789Z                 'code': None,
2022-11-23T01:32:30.7975912Z                 'obj_weakref': None
2022-11-23T01:32:30.7976038Z                 'guarded_class': None
2022-11-23T01:32:30.7976109Z             }
2022-11-23T01:32:30.7976178Z             
2022-11-23T01:32:30.7976442Z [2022-11-23 01:29:02,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342
2022-11-23T01:32:30.7976691Z [2022-11-23 01:29:02,033] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.7977230Z [2022-11-23 01:29:02,035] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.7977734Z [2022-11-23 01:29:02,037] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.7977751Z 
2022-11-23T01:32:30.7977847Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7977923Z import torch
2022-11-23T01:32:30.7978003Z import random
2022-11-23T01:32:30.7978128Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7978260Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7978266Z 
2022-11-23T01:32:30.7978351Z aten = torch.ops.aten
2022-11-23T01:32:30.7978494Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7978587Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7978592Z 
2022-11-23T01:32:30.7978669Z import triton
2022-11-23T01:32:30.7978763Z import triton.language as tl
2022-11-23T01:32:30.7979087Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7979236Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7979242Z 
2022-11-23T01:32:30.7979250Z 
2022-11-23T01:32:30.7979560Z triton_fused_logical_not_2_isinf_1_any_4_any_2_any_1_logical_not_1_isinf_2_logical_not_logical_not_3_logical_not_40 = async_compile.triton('''
2022-11-23T01:32:30.7979637Z import triton
2022-11-23T01:32:30.7979732Z import triton.language as tl
2022-11-23T01:32:30.7979842Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7979947Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7980086Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7980215Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7980220Z 
2022-11-23T01:32:30.7980314Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:30.7980434Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.7980526Z               filename=__file__,
2022-11-23T01:32:30.7980889Z               meta={'signature': {0: '*i1', 1: '*i1', 2: '*fp32', 3: '*i1', 4: '*i1', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 6), equal_to_1=())]})
2022-11-23T01:32:30.7980960Z @triton.jit
2022-11-23T01:32:30.7981168Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7981243Z     xnumel = 1
2022-11-23T01:32:30.7981319Z     rnumel = 64
2022-11-23T01:32:30.7981420Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7981560Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7981646Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7981778Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7981908Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7982043Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7982211Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7982331Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7982440Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7982560Z         rindex = roffset + rbase
2022-11-23T01:32:30.7982643Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7982718Z         r0 = rindex
2022-11-23T01:32:30.7982920Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.7983005Z         tmp1 = (tmp0 != 0)
2022-11-23T01:32:30.7983138Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.7983240Z         tmp3 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.7983370Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp3), tmp3, _tmp4)
2022-11-23T01:32:30.7983444Z         tmp5 = tmp3 == 0
2022-11-23T01:32:30.7983538Z         tmp6 = tmp5.to(tl.int64)
2022-11-23T01:32:30.7983620Z         tmp7 = (tmp6 != 0)
2022-11-23T01:32:30.7983750Z         _tmp8 = tl.where(xmask & rmask & (_tmp8 < tmp7), tmp7, _tmp8)
2022-11-23T01:32:30.7983831Z         tmp9 = tmp5 == 0
2022-11-23T01:32:30.7983964Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp9), tmp9, _tmp10)
2022-11-23T01:32:30.7984087Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7984224Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.7984333Z     tmp4 = tl.reshape(tl.max(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7984470Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:30.7984585Z     tmp8 = tl.reshape(tl.max(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7984703Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7984783Z     tmp11 = tmp8 == 0
2022-11-23T01:32:30.7984863Z     tmp12 = tmp10 == 0
2022-11-23T01:32:30.7985004Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp11, None)
2022-11-23T01:32:30.7985138Z     tl.store(in_out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp12, None)
2022-11-23T01:32:30.7985228Z ''')
2022-11-23T01:32:30.7985234Z 
2022-11-23T01:32:30.7985238Z 
2022-11-23T01:32:30.7985335Z async_compile.wait(globals())
2022-11-23T01:32:30.7985418Z del async_compile
2022-11-23T01:32:30.7985423Z 
2022-11-23T01:32:30.7985501Z def call(args):
2022-11-23T01:32:30.7985577Z     arg0_1, = args
2022-11-23T01:32:30.7985653Z     args.clear()
2022-11-23T01:32:30.7985838Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7986010Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7986188Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7986365Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7986458Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:30.7986550Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:30.7986643Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7986883Z     triton_fused_logical_not_2_isinf_1_any_4_any_2_any_1_logical_not_1_isinf_2_logical_not_logical_not_3_logical_not_40.run(buf4, buf5, arg0_1, buf0, buf1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7986953Z     del arg0_1
2022-11-23T01:32:30.7987050Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:30.7987055Z 
2022-11-23T01:32:30.7987060Z 
2022-11-23T01:32:30.7987142Z if __name__ == "__main__":
2022-11-23T01:32:30.7987263Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7987394Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7987595Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.7987711Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7987716Z 
2022-11-23T01:32:30.7987721Z 
2022-11-23T01:32:30.7987822Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.7987898Z import torch
2022-11-23T01:32:30.7987968Z import random
2022-11-23T01:32:30.7988127Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.7988259Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.7988264Z 
2022-11-23T01:32:30.7988348Z aten = torch.ops.aten
2022-11-23T01:32:30.7988511Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.7988610Z async_compile = AsyncCompile()
2022-11-23T01:32:30.7988615Z 
2022-11-23T01:32:30.7988694Z import triton
2022-11-23T01:32:30.7988781Z import triton.language as tl
2022-11-23T01:32:30.7988910Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.7989054Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.7989060Z 
2022-11-23T01:32:30.7989064Z 
2022-11-23T01:32:30.7989347Z triton_fused_any_1_isinf_logical_not_isinf_1_any_3_any_4_logical_not_1_any_2_logical_not_2_isinf_20 = async_compile.triton('''
2022-11-23T01:32:30.7989427Z import triton
2022-11-23T01:32:30.7989522Z import triton.language as tl
2022-11-23T01:32:30.7989646Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.7989751Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.7989878Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.7990010Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.7990015Z 
2022-11-23T01:32:30.7990109Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:30.7990227Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.7990396Z               filename=__file__,
2022-11-23T01:32:30.7990794Z               meta={'signature': {0: '*i1', 1: '*i1', 2: '*fp16', 3: '*i1', 4: '*i1', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 6), equal_to_1=())]})
2022-11-23T01:32:30.7990869Z @triton.jit
2022-11-23T01:32:30.7991077Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.7991145Z     xnumel = 1
2022-11-23T01:32:30.7991224Z     rnumel = 64
2022-11-23T01:32:30.7991324Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.7991466Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.7991555Z     xmask = xindex < xnumel
2022-11-23T01:32:30.7991679Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.7991796Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7991903Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7992013Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7992128Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.7992240Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.7992331Z         rindex = roffset + rbase
2022-11-23T01:32:30.7992419Z         rmask = rindex < rnumel
2022-11-23T01:32:30.7992494Z         r0 = rindex
2022-11-23T01:32:30.7992713Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.7992801Z         tmp1 = (tmp0 != 0)
2022-11-23T01:32:30.7992932Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.7993034Z         tmp3 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.7993171Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp3), tmp3, _tmp4)
2022-11-23T01:32:30.7993254Z         tmp5 = tmp3 == 0
2022-11-23T01:32:30.7993345Z         tmp6 = tmp5.to(tl.int64)
2022-11-23T01:32:30.7993421Z         tmp7 = (tmp6 != 0)
2022-11-23T01:32:30.7993550Z         _tmp8 = tl.where(xmask & rmask & (_tmp8 < tmp7), tmp7, _tmp8)
2022-11-23T01:32:30.7993633Z         tmp9 = tmp5 == 0
2022-11-23T01:32:30.7993771Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp9), tmp9, _tmp10)
2022-11-23T01:32:30.7993890Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7994025Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.7994142Z     tmp4 = tl.reshape(tl.max(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7994336Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:30.7994446Z     tmp8 = tl.reshape(tl.max(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7994564Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:30.7994666Z     tmp11 = tmp8 == 0
2022-11-23T01:32:30.7994747Z     tmp12 = tmp10 == 0
2022-11-23T01:32:30.7994889Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp11, None)
2022-11-23T01:32:30.7995029Z     tl.store(in_out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp12, None)
2022-11-23T01:32:30.7995119Z ''')
2022-11-23T01:32:30.7995125Z 
2022-11-23T01:32:30.7995131Z 
2022-11-23T01:32:30.7995227Z async_compile.wait(globals())
2022-11-23T01:32:30.7995301Z del async_compile
2022-11-23T01:32:30.7995306Z 
2022-11-23T01:32:30.7995383Z def call(args):
2022-11-23T01:32:30.7995461Z     arg0_1, = args
2022-11-23T01:32:30.7995537Z     args.clear()
2022-11-23T01:32:30.7995723Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7995903Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7996080Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7996252Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.7996346Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:30.7996437Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:30.7996530Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.7996760Z     triton_fused_any_1_isinf_logical_not_isinf_1_any_3_any_4_logical_not_1_any_2_logical_not_2_isinf_20.run(buf4, buf5, arg0_1, buf0, buf1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.7996834Z     del arg0_1
2022-11-23T01:32:30.7996929Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:30.7996935Z 
2022-11-23T01:32:30.7996939Z 
2022-11-23T01:32:30.7997022Z if __name__ == "__main__":
2022-11-23T01:32:30.7997137Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.7997272Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.7997473Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.7997588Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.7997597Z 
2022-11-23T01:32:30.7997970Z [2022-11-23 01:29:02,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rp/crp57tyzzhnkberercpmzcvyamwwhqi4imarnndels7hfmbn42xn.py
2022-11-23T01:32:30.7998240Z [2022-11-23 01:29:02,285] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342
2022-11-23T01:32:30.7998479Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.7998794Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.7999017Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.7999266Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.7999546Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.7999868Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8000210Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8000531Z [2022-11-23 01:29:02,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8000933Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:30.8001041Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8001147Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.8001314Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:30.8001405Z                6 CALL_METHOD              1
2022-11-23T01:32:30.8001410Z 
2022-11-23T01:32:30.8001511Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8001614Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.8001711Z               12 CALL_METHOD              0
2022-11-23T01:32:30.8001812Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:30.8001906Z               16 CALL_METHOD              0
2022-11-23T01:32:30.8001911Z 
2022-11-23T01:32:30.8002014Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.8002113Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:30.8002206Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8002308Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.8002402Z               26 CALL_METHOD              0
2022-11-23T01:32:30.8002502Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:30.8002653Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:30.8002752Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.8002757Z 
2022-11-23T01:32:30.8002858Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.8002950Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:30.8003049Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:30.8003158Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:30.8003255Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8003354Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:30.8003450Z               46 CALL_METHOD              0
2022-11-23T01:32:30.8003547Z               48 CALL_METHOD              1
2022-11-23T01:32:30.8003641Z               50 CALL_METHOD              1
2022-11-23T01:32:30.8003646Z 
2022-11-23T01:32:30.8003733Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:32:30.8003821Z               54 RETURN_VALUE
2022-11-23T01:32:30.8003890Z  
2022-11-23T01:32:30.8003895Z 
2022-11-23T01:32:30.8004213Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:32:30.8004430Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8004676Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:30.8004954Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.8005270Z [2022-11-23 01:29:02,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:30.8005581Z [2022-11-23 01:29:02,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:32:30.8005819Z [2022-11-23 01:29:02,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:30.8006093Z [2022-11-23 01:29:02,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8006404Z [2022-11-23 01:29:02,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.8006676Z [2022-11-23 01:29:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8007019Z [2022-11-23 01:29:02,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:30.8007341Z [2022-11-23 01:29:02,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:32:30.8007646Z [2022-11-23 01:29:02,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8008069Z [2022-11-23 01:29:02,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8008447Z [2022-11-23 01:29:02,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8008850Z [2022-11-23 01:29:02,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.8009283Z [2022-11-23 01:29:02,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.8009680Z [2022-11-23 01:29:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.8010118Z [2022-11-23 01:29:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8010591Z [2022-11-23 01:29:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.8010910Z [2022-11-23 01:29:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:32:30.8011219Z [2022-11-23 01:29:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8011667Z [2022-11-23 01:29:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8012101Z [2022-11-23 01:29:02,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8012689Z [2022-11-23 01:29:02,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8013207Z [2022-11-23 01:29:02,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8013752Z [2022-11-23 01:29:02,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.8014363Z [2022-11-23 01:29:02,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:30.8014923Z [2022-11-23 01:29:02,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.8015343Z [2022-11-23 01:29:02,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.8015658Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:32:30.8015985Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8016243Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8016627Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:30.8016881Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8017124Z [2022-11-23 01:29:02,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8017379Z [2022-11-23 01:29:02,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8017638Z [2022-11-23 01:29:02,306] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8017835Z [2022-11-23 01:29:02,306] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8017981Z  __compiled_fn_353 <eval_with_key>.2184 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8018078Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8018223Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:30.8018324Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:30.8018422Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:30.8018516Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:30.8018760Z call_function, all_1, <built-in method all of type object at 0x7f209c394c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:30.8019052Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:30.8019318Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (isinf_2,), {}
2022-11-23T01:32:30.8019558Z call_function, all_2, <built-in method all of type object at 0x7f209c394c60>, (logical_not,), {}
2022-11-23T01:32:30.8019687Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:30.8019696Z 
2022-11-23T01:32:30.8020030Z [2022-11-23 01:29:02,307] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8020133Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8020225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8020321Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8020423Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8020517Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8020613Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8020698Z              12 RETURN_VALUE
2022-11-23T01:32:30.8020703Z 
2022-11-23T01:32:30.8020771Z  
2022-11-23T01:32:30.8021146Z [2022-11-23 01:29:02,307] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8021261Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_353)
2022-11-23T01:32:30.8021386Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8021485Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8021572Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8021670Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8021784Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8021895Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8021986Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8022070Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8022181Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8022278Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8022363Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8022476Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8022573Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8022653Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.8022761Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8022857Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.8022940Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.8023035Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.8023118Z              38 RETURN_VALUE
2022-11-23T01:32:30.8023124Z 
2022-11-23T01:32:30.8023191Z  
2022-11-23T01:32:30.8023377Z [2022-11-23 01:29:02,308] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8023456Z  - 
2022-11-23T01:32:30.8023584Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8023655Z             {
2022-11-23T01:32:30.8023802Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8024005Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8024134Z                 'obj_weakref': None
2022-11-23T01:32:30.8024365Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8024433Z             }
2022-11-23T01:32:30.8024504Z             
2022-11-23T01:32:30.8024580Z  - 
2022-11-23T01:32:30.8024712Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8024781Z             {
2022-11-23T01:32:30.8024931Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8025037Z                 'code': None,
2022-11-23T01:32:30.8025259Z                 'obj_weakref': <weakref at 0x7f1fe80f98a0; to 'Tensor' at 0x7f1fead3de90>
2022-11-23T01:32:30.8025515Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8025586Z             }
2022-11-23T01:32:30.8025656Z             
2022-11-23T01:32:30.8025736Z  - 
2022-11-23T01:32:30.8025874Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8025936Z             {
2022-11-23T01:32:30.8026078Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8026259Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8026385Z                 'obj_weakref': None
2022-11-23T01:32:30.8026618Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8026691Z             }
2022-11-23T01:32:30.8026761Z             
2022-11-23T01:32:30.8026831Z  - 
2022-11-23T01:32:30.8026960Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8027029Z             {
2022-11-23T01:32:30.8027172Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8027393Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8027518Z                 'obj_weakref': None
2022-11-23T01:32:30.8027782Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8027854Z             }
2022-11-23T01:32:30.8027917Z             
2022-11-23T01:32:30.8028014Z  - 
2022-11-23T01:32:30.8028156Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8028226Z             {
2022-11-23T01:32:30.8028352Z                 'guard_types': None,
2022-11-23T01:32:30.8028465Z                 'code': None,
2022-11-23T01:32:30.8028581Z                 'obj_weakref': None
2022-11-23T01:32:30.8028707Z                 'guarded_class': None
2022-11-23T01:32:30.8028780Z             }
2022-11-23T01:32:30.8028850Z             
2022-11-23T01:32:30.8029115Z [2022-11-23 01:29:02,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343
2022-11-23T01:32:30.8029366Z [2022-11-23 01:29:02,336] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8029912Z [2022-11-23 01:29:02,338] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.8030499Z [2022-11-23 01:29:02,340] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:30.8030508Z 
2022-11-23T01:32:30.8030619Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8030688Z import torch
2022-11-23T01:32:30.8030766Z import random
2022-11-23T01:32:30.8030890Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8031018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8031024Z 
2022-11-23T01:32:30.8031108Z aten = torch.ops.aten
2022-11-23T01:32:30.8031249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8031353Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8031358Z 
2022-11-23T01:32:30.8031436Z import triton
2022-11-23T01:32:30.8031525Z import triton.language as tl
2022-11-23T01:32:30.8031655Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8031801Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8031807Z 
2022-11-23T01:32:30.8031811Z 
2022-11-23T01:32:30.8031977Z triton_fused_any_10 = async_compile.triton('''
2022-11-23T01:32:30.8032053Z import triton
2022-11-23T01:32:30.8032148Z import triton.language as tl
2022-11-23T01:32:30.8032267Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8032365Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8032503Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8032632Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8032638Z 
2022-11-23T01:32:30.8032730Z @reduction(size_hints=[16, 8],
2022-11-23T01:32:30.8032850Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8032940Z               filename=__file__,
2022-11-23T01:32:30.8033270Z               meta={'signature': {0: '*fp32', 1: '*i1', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8033348Z @triton.jit
2022-11-23T01:32:30.8033515Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8033593Z     xnumel = 16
2022-11-23T01:32:30.8033669Z     rnumel = 8
2022-11-23T01:32:30.8033769Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8033909Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8033995Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8034116Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8034183Z     x0 = xindex
2022-11-23T01:32:30.8034299Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8034441Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8034533Z         rindex = roffset + rbase
2022-11-23T01:32:30.8034622Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8034721Z         r1 = rindex
2022-11-23T01:32:30.8034948Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8035025Z         tmp1 = (tmp0 != 0)
2022-11-23T01:32:30.8035158Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.8035277Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8035378Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:30.8035469Z ''')
2022-11-23T01:32:30.8035474Z 
2022-11-23T01:32:30.8035479Z 
2022-11-23T01:32:30.8035738Z triton_fused_any_2_logical_not_3_logical_not_2_any_4_isinf_logical_not_4_isinf_21 = async_compile.triton('''
2022-11-23T01:32:30.8035814Z import triton
2022-11-23T01:32:30.8035909Z import triton.language as tl
2022-11-23T01:32:30.8036022Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8036128Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8036262Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8036397Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8036402Z 
2022-11-23T01:32:30.8036495Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:30.8036612Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8036703Z               filename=__file__,
2022-11-23T01:32:30.8037041Z               meta={'signature': {0: '*i1', 1: '*fp32', 2: '*i1', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:30.8037110Z @triton.jit
2022-11-23T01:32:30.8037293Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8037370Z     xnumel = 1
2022-11-23T01:32:30.8037446Z     rnumel = 128
2022-11-23T01:32:30.8037550Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8037690Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8037777Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8037895Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8038013Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8038128Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8038237Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8038329Z         rindex = roffset + rbase
2022-11-23T01:32:30.8038417Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8038493Z         r0 = rindex
2022-11-23T01:32:30.8038686Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8038791Z         tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.8038922Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.8039006Z         tmp3 = tmp1 == 0
2022-11-23T01:32:30.8039087Z         tmp4 = tmp3 == 0
2022-11-23T01:32:30.8039216Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 < tmp4), tmp4, _tmp5)
2022-11-23T01:32:30.8039334Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8039466Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.8039585Z     tmp5 = tl.reshape(tl.max(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8039664Z     tmp6 = tmp5 == 0
2022-11-23T01:32:30.8039806Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, None)
2022-11-23T01:32:30.8039894Z ''')
2022-11-23T01:32:30.8039899Z 
2022-11-23T01:32:30.8039904Z 
2022-11-23T01:32:30.8040118Z triton_fused_logical_not_1_any_3_logical_not_isinf_12 = async_compile.triton('''
2022-11-23T01:32:30.8040196Z import triton
2022-11-23T01:32:30.8040292Z import triton.language as tl
2022-11-23T01:32:30.8040402Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8040541Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8040679Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8040810Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8040837Z 
2022-11-23T01:32:30.8040931Z @reduction(size_hints=[8, 16],
2022-11-23T01:32:30.8041052Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:30.8041143Z               filename=__file__,
2022-11-23T01:32:30.8041472Z               meta={'signature': {0: '*i1', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:30.8041542Z @triton.jit
2022-11-23T01:32:30.8041720Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8041798Z     xnumel = 8
2022-11-23T01:32:30.8041875Z     rnumel = 16
2022-11-23T01:32:30.8041977Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8042118Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8042205Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8042320Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8042396Z     x0 = xindex
2022-11-23T01:32:30.8042513Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8042622Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8042716Z         rindex = roffset + rbase
2022-11-23T01:32:30.8042803Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8042876Z         r1 = rindex
2022-11-23T01:32:30.8043087Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8043193Z         tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.8043274Z         tmp2 = tmp1 == 0
2022-11-23T01:32:30.8043366Z         tmp3 = tmp2.to(tl.int64)
2022-11-23T01:32:30.8043449Z         tmp4 = (tmp3 != 0)
2022-11-23T01:32:30.8043581Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 < tmp4), tmp4, _tmp5)
2022-11-23T01:32:30.8043702Z     tmp5 = tl.reshape(tl.max(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8043774Z     tmp6 = tmp5 == 0
2022-11-23T01:32:30.8043917Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, xmask)
2022-11-23T01:32:30.8044009Z ''')
2022-11-23T01:32:30.8044015Z 
2022-11-23T01:32:30.8044019Z 
2022-11-23T01:32:30.8044114Z async_compile.wait(globals())
2022-11-23T01:32:30.8044194Z del async_compile
2022-11-23T01:32:30.8044199Z 
2022-11-23T01:32:30.8044279Z def call(args):
2022-11-23T01:32:30.8044355Z     arg0_1, = args
2022-11-23T01:32:30.8044426Z     args.clear()
2022-11-23T01:32:30.8044619Z     buf0 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8044712Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8044852Z     triton_fused_any_10.run(arg0_1, buf0, 16, 8, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8045036Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8045220Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8045312Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:30.8045516Z     triton_fused_any_2_logical_not_3_logical_not_2_any_4_isinf_logical_not_4_isinf_21.run(buf5, arg0_1, buf1, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.8045699Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8045792Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:30.8045969Z     triton_fused_logical_not_1_any_3_logical_not_isinf_12.run(buf4, arg0_1, 8, 16, grid=grid(8), stream=stream0)
2022-11-23T01:32:30.8046048Z     del arg0_1
2022-11-23T01:32:30.8046143Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:30.8046148Z 
2022-11-23T01:32:30.8046153Z 
2022-11-23T01:32:30.8046238Z if __name__ == "__main__":
2022-11-23T01:32:30.8046360Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8046493Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8046716Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8046834Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8046840Z 
2022-11-23T01:32:30.8047209Z [2022-11-23 01:29:02,503] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f6/cf6wcwdmvexthqfhhn47noxjiqghjt5xvs4irc7q7zyaxwdjwxrn.py
2022-11-23T01:32:30.8047502Z [2022-11-23 01:29:02,503] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343
2022-11-23T01:32:30.8047508Z 
2022-11-23T01:32:30.8047609Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8047686Z import torch
2022-11-23T01:32:30.8047763Z import random
2022-11-23T01:32:30.8047886Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8048006Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8048018Z 
2022-11-23T01:32:30.8048096Z aten = torch.ops.aten
2022-11-23T01:32:30.8048237Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8048341Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8048346Z 
2022-11-23T01:32:30.8048423Z import triton
2022-11-23T01:32:30.8048518Z import triton.language as tl
2022-11-23T01:32:30.8048647Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8048795Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8048801Z 
2022-11-23T01:32:30.8048805Z 
2022-11-23T01:32:30.8048965Z triton_fused_any_10 = async_compile.triton('''
2022-11-23T01:32:30.8049034Z import triton
2022-11-23T01:32:30.8049130Z import triton.language as tl
2022-11-23T01:32:30.8049249Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8049357Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8049494Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8049623Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8049628Z 
2022-11-23T01:32:30.8049721Z @reduction(size_hints=[16, 8],
2022-11-23T01:32:30.8049835Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8049923Z               filename=__file__,
2022-11-23T01:32:30.8050248Z               meta={'signature': {0: '*fp16', 1: '*i1', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8050328Z @triton.jit
2022-11-23T01:32:30.8050501Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8050578Z     xnumel = 16
2022-11-23T01:32:30.8050653Z     rnumel = 8
2022-11-23T01:32:30.8050747Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8050887Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8050974Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8051096Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8051170Z     x0 = xindex
2022-11-23T01:32:30.8051286Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8051397Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8051482Z         rindex = roffset + rbase
2022-11-23T01:32:30.8051571Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8051647Z         r1 = rindex
2022-11-23T01:32:30.8051891Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8051975Z         tmp1 = (tmp0 != 0)
2022-11-23T01:32:30.8052107Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.8052225Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8052331Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:30.8052411Z ''')
2022-11-23T01:32:30.8052416Z 
2022-11-23T01:32:30.8052421Z 
2022-11-23T01:32:30.8052681Z triton_fused_logical_not_2_any_2_isinf_any_4_logical_not_4_isinf_2_logical_not_31 = async_compile.triton('''
2022-11-23T01:32:30.8052761Z import triton
2022-11-23T01:32:30.8052856Z import triton.language as tl
2022-11-23T01:32:30.8053008Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8053115Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8053250Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8053396Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8053408Z 
2022-11-23T01:32:30.8053494Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:30.8053613Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8053700Z               filename=__file__,
2022-11-23T01:32:30.8054040Z               meta={'signature': {0: '*i1', 1: '*fp16', 2: '*i1', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:30.8054116Z @triton.jit
2022-11-23T01:32:30.8054302Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8054376Z     xnumel = 1
2022-11-23T01:32:30.8054445Z     rnumel = 128
2022-11-23T01:32:30.8054550Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8054689Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8054773Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8054898Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8055014Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8055128Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8055229Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8055321Z         rindex = roffset + rbase
2022-11-23T01:32:30.8055407Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8055485Z         r0 = rindex
2022-11-23T01:32:30.8055711Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8055815Z         tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.8055945Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:30.8056022Z         tmp3 = tmp1 == 0
2022-11-23T01:32:30.8056108Z         tmp4 = tmp3 == 0
2022-11-23T01:32:30.8056237Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 < tmp4), tmp4, _tmp5)
2022-11-23T01:32:30.8056358Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8056497Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.8056615Z     tmp5 = tl.reshape(tl.max(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8056694Z     tmp6 = tmp5 == 0
2022-11-23T01:32:30.8056837Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, None)
2022-11-23T01:32:30.8056918Z ''')
2022-11-23T01:32:30.8056924Z 
2022-11-23T01:32:30.8056929Z 
2022-11-23T01:32:30.8057142Z triton_fused_isinf_1_logical_not_logical_not_1_any_32 = async_compile.triton('''
2022-11-23T01:32:30.8057220Z import triton
2022-11-23T01:32:30.8057317Z import triton.language as tl
2022-11-23T01:32:30.8057435Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8057543Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8057679Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8057801Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8057816Z 
2022-11-23T01:32:30.8057902Z @reduction(size_hints=[8, 16],
2022-11-23T01:32:30.8058024Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:30.8058112Z               filename=__file__,
2022-11-23T01:32:30.8058436Z               meta={'signature': {0: '*i1', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:30.8058515Z @triton.jit
2022-11-23T01:32:30.8058690Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8058769Z     xnumel = 8
2022-11-23T01:32:30.8059027Z     rnumel = 16
2022-11-23T01:32:30.8059129Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8059323Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8059412Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8059534Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8059638Z     x0 = xindex
2022-11-23T01:32:30.8059755Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:30.8059857Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8059948Z         rindex = roffset + rbase
2022-11-23T01:32:30.8060036Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8060110Z         r1 = rindex
2022-11-23T01:32:30.8060360Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8060463Z         tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:30.8060545Z         tmp2 = tmp1 == 0
2022-11-23T01:32:30.8060629Z         tmp3 = tmp2.to(tl.int64)
2022-11-23T01:32:30.8060711Z         tmp4 = (tmp3 != 0)
2022-11-23T01:32:30.8060849Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 < tmp4), tmp4, _tmp5)
2022-11-23T01:32:30.8060966Z     tmp5 = tl.reshape(tl.max(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:30.8061048Z     tmp6 = tmp5 == 0
2022-11-23T01:32:30.8061191Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, xmask)
2022-11-23T01:32:30.8061284Z ''')
2022-11-23T01:32:30.8061290Z 
2022-11-23T01:32:30.8061295Z 
2022-11-23T01:32:30.8061390Z async_compile.wait(globals())
2022-11-23T01:32:30.8061462Z del async_compile
2022-11-23T01:32:30.8061468Z 
2022-11-23T01:32:30.8061546Z def call(args):
2022-11-23T01:32:30.8061622Z     arg0_1, = args
2022-11-23T01:32:30.8061703Z     args.clear()
2022-11-23T01:32:30.8061896Z     buf0 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8061988Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8062129Z     triton_fused_any_10.run(arg0_1, buf0, 16, 8, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8062303Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8062488Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8062581Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:30.8062784Z     triton_fused_logical_not_2_any_2_isinf_any_4_logical_not_4_isinf_2_logical_not_31.run(buf5, arg0_1, buf1, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.8062976Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.8063069Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:30.8063245Z     triton_fused_isinf_1_logical_not_logical_not_1_any_32.run(buf4, arg0_1, 8, 16, grid=grid(8), stream=stream0)
2022-11-23T01:32:30.8063320Z     del arg0_1
2022-11-23T01:32:30.8063409Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:30.8063414Z 
2022-11-23T01:32:30.8063419Z 
2022-11-23T01:32:30.8063503Z if __name__ == "__main__":
2022-11-23T01:32:30.8063624Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8063754Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8063959Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8064075Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8064080Z 
2022-11-23T01:32:30.8064157Z ok (1.066s)
2022-11-23T01:32:30.8064464Z   test_arange1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8064774Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8064999Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8065257Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8065540Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8065891Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8066237Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8066584Z [2022-11-23 01:29:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8066956Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878> 
2022-11-23T01:32:30.8067061Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8067161Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8067253Z               4 LOAD_CONST               1 (64)
2022-11-23T01:32:30.8067358Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8067461Z               8 LOAD_ATTR                2 (float32)
2022-11-23T01:32:30.8067559Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8067663Z              12 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.8067831Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T01:32:30.8067931Z              16 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.8068024Z              18 LOAD_METHOD              4 (view)
2022-11-23T01:32:30.8068124Z              20 LOAD_CONST               3 (8)
2022-11-23T01:32:30.8068222Z              22 LOAD_CONST               3 (8)
2022-11-23T01:32:30.8068317Z              24 CALL_METHOD              2
2022-11-23T01:32:30.8068418Z              26 STORE_FAST               1 (rng1)
2022-11-23T01:32:30.8068423Z 
2022-11-23T01:32:30.8068524Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8068624Z              30 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8068722Z              32 LOAD_CONST               4 (10)
2022-11-23T01:32:30.8068812Z              34 LOAD_CONST               5 (18)
2022-11-23T01:32:30.8068909Z              36 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8069011Z              38 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.8069167Z              40 LOAD_CONST               6 (('device',))
2022-11-23T01:32:30.8069266Z              42 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.8069365Z              44 STORE_FAST               2 (rng2)
2022-11-23T01:32:30.8069371Z 
2022-11-23T01:32:30.8069468Z 881          46 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8069559Z              48 LOAD_FAST                1 (rng1)
2022-11-23T01:32:30.8069646Z              50 BINARY_MULTIPLY
2022-11-23T01:32:30.8069746Z              52 STORE_FAST               3 (tmp)
2022-11-23T01:32:30.8069751Z 
2022-11-23T01:32:30.8069849Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T01:32:30.8069952Z              56 LOAD_FAST                3 (tmp)
2022-11-23T01:32:30.8070051Z              58 LOAD_FAST                2 (rng2)
2022-11-23T01:32:30.8070132Z              60 BINARY_ADD
2022-11-23T01:32:30.8070231Z              62 BUILD_TUPLE              2
2022-11-23T01:32:30.8070383Z              64 RETURN_VALUE
2022-11-23T01:32:30.8070466Z  
2022-11-23T01:32:30.8070472Z 
2022-11-23T01:32:30.8070829Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879
2022-11-23T01:32:30.8071052Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.8071417Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8071792Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8072159Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8072689Z [2022-11-23 01:29:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8073080Z [2022-11-23 01:29:02,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.8073507Z [2022-11-23 01:29:02,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.8073961Z [2022-11-23 01:29:02,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8074444Z [2022-11-23 01:29:02,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8074680Z [2022-11-23 01:29:02,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.8074957Z [2022-11-23 01:29:02,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.8075275Z [2022-11-23 01:29:02,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:30.8075630Z [2022-11-23 01:29:02,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8075882Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8076200Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880
2022-11-23T01:32:30.8076427Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.8076795Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8077126Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8077488Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8077878Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8078299Z [2022-11-23 01:29:02,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.8078761Z [2022-11-23 01:29:02,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8079234Z [2022-11-23 01:29:02,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8086141Z [2022-11-23 01:29:02,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T01:32:30.8086488Z [2022-11-23 01:29:02,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881
2022-11-23T01:32:30.8086705Z [2022-11-23 01:29:02,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8086955Z [2022-11-23 01:29:02,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8087247Z [2022-11-23 01:29:02,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8087486Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:30.8087798Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882
2022-11-23T01:32:30.8088018Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:30.8088258Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T01:32:30.8088535Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8088839Z [2022-11-23 01:29:02,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8089113Z [2022-11-23 01:29:02,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8089366Z [2022-11-23 01:29:02,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8089750Z [2022-11-23 01:29:02,515] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878>
2022-11-23T01:32:30.8089999Z [2022-11-23 01:29:02,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8090237Z [2022-11-23 01:29:02,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8090496Z [2022-11-23 01:29:02,516] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8090752Z [2022-11-23 01:29:02,520] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8090941Z [2022-11-23 01:29:02,520] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8091086Z  __compiled_fn_354 <eval_with_key>.2190 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8091183Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8091515Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (64,), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8091623Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T01:32:30.8091919Z call_function, arange_1, <built-in method arange of type object at 0x7f209c394c60>, (10, 18), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8092102Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T01:32:30.8092290Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T01:32:30.8092390Z output, output, output, ((mul, add),), {}
2022-11-23T01:32:30.8092404Z 
2022-11-23T01:32:30.8092787Z [2022-11-23 01:29:02,520] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8092895Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8092996Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8093118Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8093222Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8093317Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8093415Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8093491Z              12 RETURN_VALUE
2022-11-23T01:32:30.8093497Z 
2022-11-23T01:32:30.8093565Z  
2022-11-23T01:32:30.8093943Z [2022-11-23 01:29:02,520] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8094065Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_354)
2022-11-23T01:32:30.8094164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8094270Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8094358Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8094454Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8094566Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8094679Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8094777Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8094861Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8094974Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8095073Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8095156Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8095245Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8095329Z              26 RETURN_VALUE
2022-11-23T01:32:30.8095334Z 
2022-11-23T01:32:30.8095401Z  
2022-11-23T01:32:30.8095612Z [2022-11-23 01:29:02,521] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8095691Z  - 
2022-11-23T01:32:30.8095826Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8095896Z             {
2022-11-23T01:32:30.8096048Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8096265Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8096400Z                 'obj_weakref': None
2022-11-23T01:32:30.8096655Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8096731Z             }
2022-11-23T01:32:30.8096800Z             
2022-11-23T01:32:30.8096879Z  - 
2022-11-23T01:32:30.8097009Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8097079Z             {
2022-11-23T01:32:30.8097235Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8097429Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8097672Z                 'obj_weakref': <weakref at 0x7f1fe816bf10; to 'Tensor' at 0x7f206826d710>
2022-11-23T01:32:30.8097958Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8098027Z             }
2022-11-23T01:32:30.8098092Z             
2022-11-23T01:32:30.8098169Z  - 
2022-11-23T01:32:30.8098312Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8098381Z             {
2022-11-23T01:32:30.8098543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8098663Z                 'code': None,
2022-11-23T01:32:30.8099121Z                 'obj_weakref': <weakref at 0x7f1fe816bf10; to 'Tensor' at 0x7f206826d710>
2022-11-23T01:32:30.8099371Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8099442Z             }
2022-11-23T01:32:30.8099512Z             
2022-11-23T01:32:30.8099589Z  - 
2022-11-23T01:32:30.8099726Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8099799Z             {
2022-11-23T01:32:30.8100005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8100176Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8100359Z                 'obj_weakref': None
2022-11-23T01:32:30.8100596Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8100665Z             }
2022-11-23T01:32:30.8100735Z             
2022-11-23T01:32:30.8100813Z  - 
2022-11-23T01:32:30.8100941Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8101003Z             {
2022-11-23T01:32:30.8101145Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8101366Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8101489Z                 'obj_weakref': None
2022-11-23T01:32:30.8101714Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8101785Z             }
2022-11-23T01:32:30.8101856Z             
2022-11-23T01:32:30.8101924Z  - 
2022-11-23T01:32:30.8102063Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8102133Z             {
2022-11-23T01:32:30.8102263Z                 'guard_types': None,
2022-11-23T01:32:30.8102376Z                 'code': None,
2022-11-23T01:32:30.8102499Z                 'obj_weakref': None
2022-11-23T01:32:30.8102626Z                 'guarded_class': None
2022-11-23T01:32:30.8102688Z             }
2022-11-23T01:32:30.8102758Z             
2022-11-23T01:32:30.8102833Z  - 
2022-11-23T01:32:30.8102989Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:30.8103059Z             {
2022-11-23T01:32:30.8103207Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.8103388Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:30.8103504Z                 'obj_weakref': None
2022-11-23T01:32:30.8103733Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.8103802Z             }
2022-11-23T01:32:30.8103871Z             
2022-11-23T01:32:30.8104146Z [2022-11-23 01:29:02,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344
2022-11-23T01:32:30.8104450Z [2022-11-23 01:29:02,537] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8104819Z [2022-11-23 01:29:02,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p3/cp3brdiph37sjkb2i2nyx7yupow2m5r3pldtlt4cut6euklh64em.py
2022-11-23T01:32:30.8105091Z [2022-11-23 01:29:02,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344
2022-11-23T01:32:30.8105325Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8105648Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8105873Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8106133Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8106417Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8106741Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8107091Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8107415Z [2022-11-23 01:29:02,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8107829Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878> 
2022-11-23T01:32:30.8107953Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8108044Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8108142Z               4 LOAD_CONST               1 (64)
2022-11-23T01:32:30.8108242Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8108344Z               8 LOAD_ATTR                2 (float32)
2022-11-23T01:32:30.8108442Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8108538Z              12 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.8108708Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T01:32:30.8108799Z              16 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.8108898Z              18 LOAD_METHOD              4 (view)
2022-11-23T01:32:30.8108998Z              20 LOAD_CONST               3 (8)
2022-11-23T01:32:30.8109094Z              22 LOAD_CONST               3 (8)
2022-11-23T01:32:30.8109188Z              24 CALL_METHOD              2
2022-11-23T01:32:30.8109290Z              26 STORE_FAST               1 (rng1)
2022-11-23T01:32:30.8109296Z 
2022-11-23T01:32:30.8109395Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8109495Z              30 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8109585Z              32 LOAD_CONST               4 (10)
2022-11-23T01:32:30.8109684Z              34 LOAD_CONST               5 (18)
2022-11-23T01:32:30.8109779Z              36 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8109877Z              38 LOAD_ATTR                3 (device)
2022-11-23T01:32:30.8110031Z              40 LOAD_CONST               6 (('device',))
2022-11-23T01:32:30.8110132Z              42 CALL_FUNCTION_KW         3
2022-11-23T01:32:30.8110233Z              44 STORE_FAST               2 (rng2)
2022-11-23T01:32:30.8110238Z 
2022-11-23T01:32:30.8110413Z 881          46 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8110525Z              48 LOAD_FAST                1 (rng1)
2022-11-23T01:32:30.8110631Z              50 BINARY_MULTIPLY
2022-11-23T01:32:30.8110751Z              52 STORE_FAST               3 (tmp)
2022-11-23T01:32:30.8110759Z 
2022-11-23T01:32:30.8110860Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T01:32:30.8110960Z              56 LOAD_FAST                3 (tmp)
2022-11-23T01:32:30.8111058Z              58 LOAD_FAST                2 (rng2)
2022-11-23T01:32:30.8111139Z              60 BINARY_ADD
2022-11-23T01:32:30.8111228Z              62 BUILD_TUPLE              2
2022-11-23T01:32:30.8111312Z              64 RETURN_VALUE
2022-11-23T01:32:30.8111379Z  
2022-11-23T01:32:30.8111384Z 
2022-11-23T01:32:30.8111708Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879
2022-11-23T01:32:30.8111932Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.8112299Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8112629Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8112994Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8113538Z [2022-11-23 01:29:02,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8113933Z [2022-11-23 01:29:02,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.8114388Z [2022-11-23 01:29:02,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.8114834Z [2022-11-23 01:29:02,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8115308Z [2022-11-23 01:29:02,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8115555Z [2022-11-23 01:29:02,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:30.8115834Z [2022-11-23 01:29:02,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:30.8116145Z [2022-11-23 01:29:02,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:30.8116501Z [2022-11-23 01:29:02,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8116752Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8117072Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880
2022-11-23T01:32:30.8117295Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.8117666Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8117993Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8118348Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8118728Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8119150Z [2022-11-23 01:29:02,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.8119592Z [2022-11-23 01:29:02,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8120060Z [2022-11-23 01:29:02,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8120311Z [2022-11-23 01:29:02,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T01:32:30.8120652Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881
2022-11-23T01:32:30.8120869Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8121137Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8121420Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8121667Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:30.8121979Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882
2022-11-23T01:32:30.8122198Z [2022-11-23 01:29:02,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:30.8122441Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T01:32:30.8122712Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8123017Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8123288Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8123538Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8123914Z [2022-11-23 01:29:02,706] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878>
2022-11-23T01:32:30.8124166Z [2022-11-23 01:29:02,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8124409Z [2022-11-23 01:29:02,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8124671Z [2022-11-23 01:29:02,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8124926Z [2022-11-23 01:29:02,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8125113Z [2022-11-23 01:29:02,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8125257Z  __compiled_fn_355 <eval_with_key>.2196 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8125353Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8125676Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (64,), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8125786Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T01:32:30.8126081Z call_function, arange_1, <built-in method arange of type object at 0x7f209c394c60>, (10, 18), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8126263Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T01:32:30.8126454Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T01:32:30.8126555Z output, output, output, ((mul, add),), {}
2022-11-23T01:32:30.8126560Z 
2022-11-23T01:32:30.8126887Z [2022-11-23 01:29:02,712] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8126990Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8127089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8127186Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8127287Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8127380Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8127476Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8127590Z              12 RETURN_VALUE
2022-11-23T01:32:30.8127597Z 
2022-11-23T01:32:30.8127665Z  
2022-11-23T01:32:30.8127993Z [2022-11-23 01:29:02,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8128132Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_355)
2022-11-23T01:32:30.8128230Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8128330Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8128416Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8128504Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8128619Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8128730Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8128828Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8128911Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8129024Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8129120Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8129204Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8129295Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8129377Z              26 RETURN_VALUE
2022-11-23T01:32:30.8129382Z 
2022-11-23T01:32:30.8129449Z  
2022-11-23T01:32:30.8129639Z [2022-11-23 01:29:02,713] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8129715Z  - 
2022-11-23T01:32:30.8129840Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8129909Z             {
2022-11-23T01:32:30.8130049Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8130242Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8130367Z                 'obj_weakref': None
2022-11-23T01:32:30.8130595Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8130668Z             }
2022-11-23T01:32:30.8130738Z             
2022-11-23T01:32:30.8130814Z  - 
2022-11-23T01:32:30.8130935Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8131006Z             {
2022-11-23T01:32:30.8131153Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8131331Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8131550Z                 'obj_weakref': <weakref at 0x7f1fe8169b70; to 'Tensor' at 0x7f1fead3c3b0>
2022-11-23T01:32:30.8131803Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8131872Z             }
2022-11-23T01:32:30.8131934Z             
2022-11-23T01:32:30.8132009Z  - 
2022-11-23T01:32:30.8132141Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8132210Z             {
2022-11-23T01:32:30.8132368Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8132481Z                 'code': None,
2022-11-23T01:32:30.8132697Z                 'obj_weakref': <weakref at 0x7f1fe8169b70; to 'Tensor' at 0x7f1fead3c3b0>
2022-11-23T01:32:30.8132935Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8133008Z             }
2022-11-23T01:32:30.8133076Z             
2022-11-23T01:32:30.8133153Z  - 
2022-11-23T01:32:30.8133289Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8133358Z             {
2022-11-23T01:32:30.8133496Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8133664Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8133789Z                 'obj_weakref': None
2022-11-23T01:32:30.8134020Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8134093Z             }
2022-11-23T01:32:30.8134163Z             
2022-11-23T01:32:30.8134238Z  - 
2022-11-23T01:32:30.8134397Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8134460Z             {
2022-11-23T01:32:30.8134604Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8134825Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8134969Z                 'obj_weakref': None
2022-11-23T01:32:30.8135194Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8135262Z             }
2022-11-23T01:32:30.8135330Z             
2022-11-23T01:32:30.8135398Z  - 
2022-11-23T01:32:30.8135540Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8135609Z             {
2022-11-23T01:32:30.8135736Z                 'guard_types': None,
2022-11-23T01:32:30.8135849Z                 'code': None,
2022-11-23T01:32:30.8135973Z                 'obj_weakref': None
2022-11-23T01:32:30.8136101Z                 'guarded_class': None
2022-11-23T01:32:30.8136163Z             }
2022-11-23T01:32:30.8136232Z             
2022-11-23T01:32:30.8136310Z  - 
2022-11-23T01:32:30.8136466Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:30.8136537Z             {
2022-11-23T01:32:30.8136685Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.8136861Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:30.8136987Z                 'obj_weakref': None
2022-11-23T01:32:30.8137216Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.8137286Z             }
2022-11-23T01:32:30.8137355Z             
2022-11-23T01:32:30.8137623Z [2022-11-23 01:29:02,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345
2022-11-23T01:32:30.8137921Z [2022-11-23 01:29:02,728] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8138302Z [2022-11-23 01:29:02,792] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/le/clegekjfbypyjpmrmygfdychauc5w6vnjvloinl4zpa2dq2itaup.py
2022-11-23T01:32:30.8138566Z [2022-11-23 01:29:02,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345
2022-11-23T01:32:30.8138585Z 
2022-11-23T01:32:30.8138680Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8138755Z import torch
2022-11-23T01:32:30.8139019Z import random
2022-11-23T01:32:30.8139147Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8139276Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8139282Z 
2022-11-23T01:32:30.8139367Z aten = torch.ops.aten
2022-11-23T01:32:30.8139508Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8139599Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8139604Z 
2022-11-23T01:32:30.8139679Z import triton
2022-11-23T01:32:30.8139773Z import triton.language as tl
2022-11-23T01:32:30.8139901Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8140049Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8140054Z 
2022-11-23T01:32:30.8140059Z 
2022-11-23T01:32:30.8140262Z triton_fused_arange_arange_1_mul_view_add0 = async_compile.triton('''
2022-11-23T01:32:30.8140341Z import triton
2022-11-23T01:32:30.8140434Z import triton.language as tl
2022-11-23T01:32:30.8140544Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8140648Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8140785Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8140914Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8140919Z 
2022-11-23T01:32:30.8141308Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:30.8141383Z @triton.jit
2022-11-23T01:32:30.8141584Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8141662Z     xnumel = 64
2022-11-23T01:32:30.8141754Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8141890Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8142005Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8142077Z     x0 = xindex
2022-11-23T01:32:30.8142153Z     x1 = xindex % 8
2022-11-23T01:32:30.8142255Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8142327Z     tmp1 = x0
2022-11-23T01:32:30.8142401Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:30.8142478Z     tmp3 = 10 + x1
2022-11-23T01:32:30.8142569Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:30.8142648Z     tmp5 = tmp2 + tmp4
2022-11-23T01:32:30.8142787Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.8142925Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.8143014Z ''')
2022-11-23T01:32:30.8143020Z 
2022-11-23T01:32:30.8143025Z 
2022-11-23T01:32:30.8143115Z async_compile.wait(globals())
2022-11-23T01:32:30.8143194Z del async_compile
2022-11-23T01:32:30.8143199Z 
2022-11-23T01:32:30.8143275Z def call(args):
2022-11-23T01:32:30.8143354Z     arg0_1, = args
2022-11-23T01:32:30.8143431Z     args.clear()
2022-11-23T01:32:30.8143631Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8143827Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8143912Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8144088Z     triton_fused_arange_arange_1_mul_view_add0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.8144166Z     del arg0_1
2022-11-23T01:32:30.8144249Z     return (buf0, buf1, )
2022-11-23T01:32:30.8144255Z 
2022-11-23T01:32:30.8144259Z 
2022-11-23T01:32:30.8144341Z if __name__ == "__main__":
2022-11-23T01:32:30.8144461Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8144593Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8144794Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8144901Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8144917Z 
2022-11-23T01:32:30.8144921Z 
2022-11-23T01:32:30.8145014Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8145091Z import torch
2022-11-23T01:32:30.8145170Z import random
2022-11-23T01:32:30.8145292Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8145418Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8145423Z 
2022-11-23T01:32:30.8145506Z aten = torch.ops.aten
2022-11-23T01:32:30.8145650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8145741Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8145746Z 
2022-11-23T01:32:30.8145821Z import triton
2022-11-23T01:32:30.8145915Z import triton.language as tl
2022-11-23T01:32:30.8146045Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8146191Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8146196Z 
2022-11-23T01:32:30.8146201Z 
2022-11-23T01:32:30.8146396Z triton_fused_view_arange_mul_arange_1_add0 = async_compile.triton('''
2022-11-23T01:32:30.8146477Z import triton
2022-11-23T01:32:30.8146572Z import triton.language as tl
2022-11-23T01:32:30.8146681Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8146785Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8146920Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8147048Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8147054Z 
2022-11-23T01:32:30.8147442Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:30.8147518Z @triton.jit
2022-11-23T01:32:30.8147696Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8147774Z     xnumel = 64
2022-11-23T01:32:30.8147869Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8148026Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8148112Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8148185Z     x0 = xindex
2022-11-23T01:32:30.8148260Z     x1 = xindex % 8
2022-11-23T01:32:30.8148385Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8148476Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:30.8148541Z     tmp2 = x0
2022-11-23T01:32:30.8148623Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:30.8148699Z     tmp4 = 10 + x1
2022-11-23T01:32:30.8148789Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:30.8148869Z     tmp6 = tmp3 + tmp5
2022-11-23T01:32:30.8149010Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.8149149Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:30.8149230Z ''')
2022-11-23T01:32:30.8149236Z 
2022-11-23T01:32:30.8149240Z 
2022-11-23T01:32:30.8149338Z async_compile.wait(globals())
2022-11-23T01:32:30.8149421Z del async_compile
2022-11-23T01:32:30.8149426Z 
2022-11-23T01:32:30.8149503Z def call(args):
2022-11-23T01:32:30.8149577Z     arg0_1, = args
2022-11-23T01:32:30.8149655Z     args.clear()
2022-11-23T01:32:30.8149852Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8150039Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8150134Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8150379Z     triton_fused_view_arange_mul_arange_1_add0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.8150469Z     del arg0_1
2022-11-23T01:32:30.8150568Z     return (buf0, buf1, )
2022-11-23T01:32:30.8150576Z 
2022-11-23T01:32:30.8150582Z 
2022-11-23T01:32:30.8150669Z if __name__ == "__main__":
2022-11-23T01:32:30.8150793Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8150926Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8151120Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8151242Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8151248Z 
2022-11-23T01:32:30.8151321Z ok (0.289s)
2022-11-23T01:32:30.8151632Z   test_arange2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8151951Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8152174Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8152435Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8152717Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8153044Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8153395Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8153708Z [2022-11-23 01:29:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8154084Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887> 
2022-11-23T01:32:30.8154226Z  888           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8154328Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8154427Z               4 LOAD_CONST               1 (8)
2022-11-23T01:32:30.8154525Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8154648Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.8154804Z              10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:30.8154895Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:30.8154997Z              14 STORE_FAST               1 (rng1)
2022-11-23T01:32:30.8155002Z 
2022-11-23T01:32:30.8155098Z 889          16 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8155195Z              18 LOAD_FAST                1 (rng1)
2022-11-23T01:32:30.8155276Z              20 BINARY_ADD
2022-11-23T01:32:30.8155373Z              22 BUILD_TUPLE              1
2022-11-23T01:32:30.8155455Z              24 RETURN_VALUE
2022-11-23T01:32:30.8155515Z  
2022-11-23T01:32:30.8155527Z 
2022-11-23T01:32:30.8155834Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:888
2022-11-23T01:32:30.8156068Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.8156449Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8156782Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8157141Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8157538Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.8157950Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8158398Z [2022-11-23 01:29:02,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8158645Z [2022-11-23 01:29:02,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8158956Z [2022-11-23 01:29:02,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:889
2022-11-23T01:32:30.8159177Z [2022-11-23 01:29:02,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8159416Z [2022-11-23 01:29:02,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:30.8159696Z [2022-11-23 01:29:02,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8159948Z [2022-11-23 01:29:02,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:30.8160199Z [2022-11-23 01:29:02,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8160579Z [2022-11-23 01:29:02,799] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887>
2022-11-23T01:32:30.8160825Z [2022-11-23 01:29:02,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8161087Z [2022-11-23 01:29:02,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8161352Z [2022-11-23 01:29:02,800] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8161635Z [2022-11-23 01:29:02,803] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8161829Z [2022-11-23 01:29:02,803] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8161966Z  __compiled_fn_356 <eval_with_key>.2202 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8162065Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8162356Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (8,), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8162543Z call_function, add, <built-in function add>, (ex_0_, arange), {}
2022-11-23T01:32:30.8162647Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.8162653Z 
2022-11-23T01:32:30.8162989Z [2022-11-23 01:29:02,804] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8163093Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8163198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8163286Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8163388Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8163480Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8163578Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8163661Z              12 RETURN_VALUE
2022-11-23T01:32:30.8163667Z 
2022-11-23T01:32:30.8163735Z  
2022-11-23T01:32:30.8164057Z [2022-11-23 01:29:02,804] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8164177Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_356)
2022-11-23T01:32:30.8164270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8164370Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8164456Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8164552Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8164669Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8164781Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8164879Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8164955Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8165051Z              18 BUILD_TUPLE              1
2022-11-23T01:32:30.8165134Z              20 RETURN_VALUE
2022-11-23T01:32:30.8165140Z 
2022-11-23T01:32:30.8165209Z  
2022-11-23T01:32:30.8165400Z [2022-11-23 01:29:02,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8165478Z  - 
2022-11-23T01:32:30.8165602Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8165666Z             {
2022-11-23T01:32:30.8165816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8166010Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8166135Z                 'obj_weakref': None
2022-11-23T01:32:30.8166365Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8166435Z             }
2022-11-23T01:32:30.8166505Z             
2022-11-23T01:32:30.8166575Z  - 
2022-11-23T01:32:30.8166704Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8166774Z             {
2022-11-23T01:32:30.8166919Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8167092Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8167308Z                 'obj_weakref': <weakref at 0x7f1fe81b41d0; to 'Tensor' at 0x7f1fe812c2c0>
2022-11-23T01:32:30.8167561Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8167626Z             }
2022-11-23T01:32:30.8167728Z             
2022-11-23T01:32:30.8167807Z  - 
2022-11-23T01:32:30.8167938Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8168010Z             {
2022-11-23T01:32:30.8168181Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8168295Z                 'code': None,
2022-11-23T01:32:30.8168502Z                 'obj_weakref': <weakref at 0x7f1fe81b41d0; to 'Tensor' at 0x7f1fe812c2c0>
2022-11-23T01:32:30.8168756Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8168826Z             }
2022-11-23T01:32:30.8168896Z             
2022-11-23T01:32:30.8168973Z  - 
2022-11-23T01:32:30.8169110Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8169183Z             {
2022-11-23T01:32:30.8169317Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8169494Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8169622Z                 'obj_weakref': None
2022-11-23T01:32:30.8169851Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8169922Z             }
2022-11-23T01:32:30.8169996Z             
2022-11-23T01:32:30.8170073Z  - 
2022-11-23T01:32:30.8170193Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8170263Z             {
2022-11-23T01:32:30.8170408Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8170625Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8170749Z                 'obj_weakref': None
2022-11-23T01:32:30.8170973Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8171043Z             }
2022-11-23T01:32:30.8171106Z             
2022-11-23T01:32:30.8171183Z  - 
2022-11-23T01:32:30.8171321Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8171392Z             {
2022-11-23T01:32:30.8171523Z                 'guard_types': None,
2022-11-23T01:32:30.8171635Z                 'code': None,
2022-11-23T01:32:30.8171757Z                 'obj_weakref': None
2022-11-23T01:32:30.8171879Z                 'guarded_class': None
2022-11-23T01:32:30.8171950Z             }
2022-11-23T01:32:30.8172020Z             
2022-11-23T01:32:30.8172283Z [2022-11-23 01:29:02,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346
2022-11-23T01:32:30.8172533Z [2022-11-23 01:29:02,813] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8172892Z [2022-11-23 01:29:02,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v5/cv57qlpdbnfanltu3xsuotw4m4viq47z3o5qt76z6iegwt4sf6fx.py
2022-11-23T01:32:30.8173159Z [2022-11-23 01:29:02,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346
2022-11-23T01:32:30.8173164Z 
2022-11-23T01:32:30.8173268Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8173336Z import torch
2022-11-23T01:32:30.8173412Z import random
2022-11-23T01:32:30.8173535Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8173665Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8173673Z 
2022-11-23T01:32:30.8173758Z aten = torch.ops.aten
2022-11-23T01:32:30.8173899Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8174003Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8174008Z 
2022-11-23T01:32:30.8174084Z import triton
2022-11-23T01:32:30.8174172Z import triton.language as tl
2022-11-23T01:32:30.8174301Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8174446Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8174452Z 
2022-11-23T01:32:30.8174457Z 
2022-11-23T01:32:30.8174625Z triton_fused_add_arange0 = async_compile.triton('''
2022-11-23T01:32:30.8174702Z import triton
2022-11-23T01:32:30.8174843Z import triton.language as tl
2022-11-23T01:32:30.8174962Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8175060Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8175202Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8175354Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8175360Z 
2022-11-23T01:32:30.8175732Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8175807Z @triton.jit
2022-11-23T01:32:30.8175946Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8176021Z     xnumel = 64
2022-11-23T01:32:30.8176124Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8176253Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8176339Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8176415Z     x2 = xindex
2022-11-23T01:32:30.8176490Z     x0 = xindex % 8
2022-11-23T01:32:30.8176590Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:30.8176662Z     tmp1 = x0
2022-11-23T01:32:30.8176743Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.8176879Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.8176967Z ''')
2022-11-23T01:32:30.8176972Z 
2022-11-23T01:32:30.8176977Z 
2022-11-23T01:32:30.8177071Z async_compile.wait(globals())
2022-11-23T01:32:30.8177150Z del async_compile
2022-11-23T01:32:30.8177155Z 
2022-11-23T01:32:30.8177232Z def call(args):
2022-11-23T01:32:30.8177307Z     arg0_1, = args
2022-11-23T01:32:30.8177384Z     args.clear()
2022-11-23T01:32:30.8177572Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8177665Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8177814Z     triton_fused_add_arange0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.8177889Z     del arg0_1
2022-11-23T01:32:30.8177970Z     return (buf0, )
2022-11-23T01:32:30.8177975Z 
2022-11-23T01:32:30.8177979Z 
2022-11-23T01:32:30.8178061Z if __name__ == "__main__":
2022-11-23T01:32:30.8178183Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8178316Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8178504Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8178620Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8178625Z 
2022-11-23T01:32:30.8178699Z ok (0.082s)
2022-11-23T01:32:30.8179200Z   test_arange3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8179519Z [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8179746Z [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8180008Z [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8180288Z [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8180608Z [2022-11-23 01:29:02,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8180956Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8181274Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8181699Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894> 
2022-11-23T01:32:30.8181806Z  895           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8181913Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8182040Z               4 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.8182138Z               6 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.8182239Z               8 LOAD_ATTR                3 (arange)
2022-11-23T01:32:30.8182344Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T01:32:30.8182350Z 
2022-11-23T01:32:30.8182439Z 896          12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8182536Z              14 LOAD_CONST               2 (53)
2022-11-23T01:32:30.8182632Z              16 LOAD_CONST               3 (4)
2022-11-23T01:32:30.8182731Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8182826Z              20 LOAD_ATTR                5 (int64)
2022-11-23T01:32:30.8182924Z              22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8183024Z              24 LOAD_ATTR                6 (device)
2022-11-23T01:32:30.8183029Z 
2022-11-23T01:32:30.8183200Z 895          26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T01:32:30.8183294Z              28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8183380Z              30 BINARY_ADD
2022-11-23T01:32:30.8183465Z              32 RETURN_VALUE
2022-11-23T01:32:30.8183534Z  
2022-11-23T01:32:30.8183539Z 
2022-11-23T01:32:30.8183853Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:30.8184068Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8184525Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.8185128Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8185739Z [2022-11-23 01:29:02,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.8186320Z [2022-11-23 01:29:02,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8186876Z [2022-11-23 01:29:02,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T01:32:30.8187416Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896
2022-11-23T01:32:30.8187968Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T01:32:30.8188543Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T01:32:30.8189177Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8189868Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8190856Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8191735Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.8192562Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.8193219Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:30.8193958Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8194850Z [2022-11-23 01:29:02,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8195503Z [2022-11-23 01:29:02,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8195957Z [2022-11-23 01:29:02,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8196529Z [2022-11-23 01:29:02,889] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894>
2022-11-23T01:32:30.8197046Z [2022-11-23 01:29:02,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8197484Z [2022-11-23 01:29:02,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8197922Z [2022-11-23 01:29:02,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8198384Z [2022-11-23 01:29:02,892] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8198774Z [2022-11-23 01:29:02,892] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8199075Z  __compiled_fn_357 <eval_with_key>.2208 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8199341Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8199766Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8200206Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T01:32:30.8200479Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.8200622Z 
2022-11-23T01:32:30.8200958Z [2022-11-23 01:29:02,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8201306Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8201532Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8201757Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8202022Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8202254Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8202467Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8202677Z              12 RETURN_VALUE
2022-11-23T01:32:30.8202800Z 
2022-11-23T01:32:30.8202866Z  
2022-11-23T01:32:30.8203275Z [2022-11-23 01:29:02,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8203638Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_357)
2022-11-23T01:32:30.8203914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8204136Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8204348Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8204584Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8204801Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8205009Z              12 RETURN_VALUE
2022-11-23T01:32:30.8205132Z 
2022-11-23T01:32:30.8205198Z  
2022-11-23T01:32:30.8205483Z [2022-11-23 01:29:02,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8205709Z  - 
2022-11-23T01:32:30.8205934Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8206129Z             {
2022-11-23T01:32:30.8206374Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8206708Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8206995Z                 'obj_weakref': None
2022-11-23T01:32:30.8207345Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8207593Z             }
2022-11-23T01:32:30.8207764Z             
2022-11-23T01:32:30.8207934Z  - 
2022-11-23T01:32:30.8208164Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8208364Z             {
2022-11-23T01:32:30.8208605Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8208918Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8209285Z                 'obj_weakref': <weakref at 0x7f1fe816a4d0; to 'Tensor' at 0x7f2151eefec0>
2022-11-23T01:32:30.8209715Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8209969Z             }
2022-11-23T01:32:30.8210143Z             
2022-11-23T01:32:30.8210320Z  - 
2022-11-23T01:32:30.8210539Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8210736Z             {
2022-11-23T01:32:30.8210991Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8211236Z                 'code': None,
2022-11-23T01:32:30.8211567Z                 'obj_weakref': <weakref at 0x7f1fe816a4d0; to 'Tensor' at 0x7f2151eefec0>
2022-11-23T01:32:30.8211995Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8212243Z             }
2022-11-23T01:32:30.8212417Z             
2022-11-23T01:32:30.8212594Z  - 
2022-11-23T01:32:30.8212820Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8213023Z             {
2022-11-23T01:32:30.8213266Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8213568Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8213840Z                 'obj_weakref': None
2022-11-23T01:32:30.8214199Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8214448Z             }
2022-11-23T01:32:30.8214612Z             
2022-11-23T01:32:30.8214793Z  - 
2022-11-23T01:32:30.8215019Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8215215Z             {
2022-11-23T01:32:30.8215460Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8215821Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8216115Z                 'obj_weakref': None
2022-11-23T01:32:30.8216470Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8216720Z             }
2022-11-23T01:32:30.8216883Z             
2022-11-23T01:32:30.8217061Z  - 
2022-11-23T01:32:30.8217297Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8217495Z             {
2022-11-23T01:32:30.8217729Z                 'guard_types': None,
2022-11-23T01:32:30.8217968Z                 'code': None,
2022-11-23T01:32:30.8218199Z                 'obj_weakref': None
2022-11-23T01:32:30.8218452Z                 'guarded_class': None
2022-11-23T01:32:30.8218692Z             }
2022-11-23T01:32:30.8219042Z             
2022-11-23T01:32:30.8219225Z  - 
2022-11-23T01:32:30.8219478Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:32:30.8219726Z             {
2022-11-23T01:32:30.8219976Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.8220290Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:32:30.8220557Z                 'obj_weakref': None
2022-11-23T01:32:30.8220916Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.8221161Z             }
2022-11-23T01:32:30.8221335Z             
2022-11-23T01:32:30.8221703Z [2022-11-23 01:29:02,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347
2022-11-23T01:32:30.8222173Z [2022-11-23 01:29:02,902] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8222802Z [2022-11-23 01:29:02,976] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l5/cl5hlka4j5fpjxrinddmjtpngzxrstffcslowr7f5rfknkjgku6k.py
2022-11-23T01:32:30.8223352Z [2022-11-23 01:29:02,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347
2022-11-23T01:32:30.8223806Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8224317Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8224774Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8225204Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8225692Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8226232Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8226827Z [2022-11-23 01:29:02,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8227410Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8228032Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894> 
2022-11-23T01:32:30.8228398Z  895           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8228630Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8228856Z               4 LOAD_ATTR                1 (ops)
2022-11-23T01:32:30.8229087Z               6 LOAD_ATTR                2 (aten)
2022-11-23T01:32:30.8229318Z               8 LOAD_ATTR                3 (arange)
2022-11-23T01:32:30.8229550Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T01:32:30.8229692Z 
2022-11-23T01:32:30.8229790Z 896          12 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8230017Z              14 LOAD_CONST               2 (53)
2022-11-23T01:32:30.8230240Z              16 LOAD_CONST               3 (4)
2022-11-23T01:32:30.8230553Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8230808Z              20 LOAD_ATTR                5 (int64)
2022-11-23T01:32:30.8231044Z              22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8231260Z              24 LOAD_ATTR                6 (device)
2022-11-23T01:32:30.8231395Z 
2022-11-23T01:32:30.8231567Z 895          26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T01:32:30.8231812Z              28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8232015Z              30 BINARY_ADD
2022-11-23T01:32:30.8232289Z              32 RETURN_VALUE
2022-11-23T01:32:30.8232477Z  
2022-11-23T01:32:30.8232576Z 
2022-11-23T01:32:30.8232896Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:30.8233375Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8233806Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.8234401Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8235001Z [2022-11-23 01:29:02,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:30.8235568Z [2022-11-23 01:29:02,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8236120Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T01:32:30.8236665Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896
2022-11-23T01:32:30.8237201Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T01:32:30.8237762Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T01:32:30.8238387Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8239071Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8239932Z [2022-11-23 01:29:02,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8240771Z [2022-11-23 01:29:02,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:30.8241574Z [2022-11-23 01:29:02,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:30.8242224Z [2022-11-23 01:29:02,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:32:30.8242967Z [2022-11-23 01:29:02,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8243854Z [2022-11-23 01:29:02,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8244535Z [2022-11-23 01:29:02,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8245003Z [2022-11-23 01:29:02,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8245588Z [2022-11-23 01:29:02,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894>
2022-11-23T01:32:30.8246107Z [2022-11-23 01:29:02,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8246544Z [2022-11-23 01:29:02,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8246995Z [2022-11-23 01:29:02,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8247442Z [2022-11-23 01:29:02,994] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8247836Z [2022-11-23 01:29:02,995] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8248145Z  __compiled_fn_358 <eval_with_key>.2214 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8248408Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8248840Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8249274Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T01:32:30.8249553Z output, output, output, ((add,),), {}
2022-11-23T01:32:30.8249690Z 
2022-11-23T01:32:30.8250019Z [2022-11-23 01:29:02,995] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8250365Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8250595Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8250815Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8251044Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8251269Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8251493Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8251693Z              12 RETURN_VALUE
2022-11-23T01:32:30.8251816Z 
2022-11-23T01:32:30.8251882Z  
2022-11-23T01:32:30.8252304Z [2022-11-23 01:29:02,995] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8252658Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_358)
2022-11-23T01:32:30.8252902Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8253128Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8253334Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8253549Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8253773Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8253981Z              12 RETURN_VALUE
2022-11-23T01:32:30.8254106Z 
2022-11-23T01:32:30.8254173Z  
2022-11-23T01:32:30.8254459Z [2022-11-23 01:29:02,996] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8254695Z  - 
2022-11-23T01:32:30.8254914Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8255109Z             {
2022-11-23T01:32:30.8255361Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8255687Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8255971Z                 'obj_weakref': None
2022-11-23T01:32:30.8256323Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8256561Z             }
2022-11-23T01:32:30.8256732Z             
2022-11-23T01:32:30.8256912Z  - 
2022-11-23T01:32:30.8257129Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8257326Z             {
2022-11-23T01:32:30.8257575Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8257927Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8258302Z                 'obj_weakref': <weakref at 0x7f1fe819e480; to 'Tensor' at 0x7f1fead3c770>
2022-11-23T01:32:30.8258759Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8259213Z             }
2022-11-23T01:32:30.8259380Z             
2022-11-23T01:32:30.8259566Z  - 
2022-11-23T01:32:30.8259792Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8259984Z             {
2022-11-23T01:32:30.8260237Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8260488Z                 'code': None,
2022-11-23T01:32:30.8260819Z                 'obj_weakref': <weakref at 0x7f1fe819e480; to 'Tensor' at 0x7f1fead3c770>
2022-11-23T01:32:30.8261247Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8261502Z             }
2022-11-23T01:32:30.8261668Z             
2022-11-23T01:32:30.8261844Z  - 
2022-11-23T01:32:30.8262081Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8262276Z             {
2022-11-23T01:32:30.8262523Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8262838Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8263103Z                 'obj_weakref': None
2022-11-23T01:32:30.8263463Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8263708Z             }
2022-11-23T01:32:30.8263879Z             
2022-11-23T01:32:30.8264049Z  - 
2022-11-23T01:32:30.8264272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8264471Z             {
2022-11-23T01:32:30.8264710Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8265068Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8265367Z                 'obj_weakref': None
2022-11-23T01:32:30.8265720Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8265972Z             }
2022-11-23T01:32:30.8266146Z             
2022-11-23T01:32:30.8266316Z  - 
2022-11-23T01:32:30.8266552Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8266755Z             {
2022-11-23T01:32:30.8266976Z                 'guard_types': None,
2022-11-23T01:32:30.8267220Z                 'code': None,
2022-11-23T01:32:30.8267459Z                 'obj_weakref': None
2022-11-23T01:32:30.8267702Z                 'guarded_class': None
2022-11-23T01:32:30.8267901Z             }
2022-11-23T01:32:30.8268071Z             
2022-11-23T01:32:30.8268241Z  - 
2022-11-23T01:32:30.8268491Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:32:30.8268701Z             {
2022-11-23T01:32:30.8268947Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.8269262Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:32:30.8269538Z                 'obj_weakref': None
2022-11-23T01:32:30.8269885Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:30.8270138Z             }
2022-11-23T01:32:30.8270384Z             
2022-11-23T01:32:30.8270807Z [2022-11-23 01:29:03,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348
2022-11-23T01:32:30.8271266Z [2022-11-23 01:29:03,005] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8271846Z [2022-11-23 01:29:03,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rp/crpiqgfbomcjlpg4dsg5pqvapff277ikuaxxpwvuqbeodj7ixf6z.py
2022-11-23T01:32:30.8272406Z [2022-11-23 01:29:03,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348
2022-11-23T01:32:30.8272618Z 
2022-11-23T01:32:30.8272722Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8272982Z import torch
2022-11-23T01:32:30.8273171Z import random
2022-11-23T01:32:30.8273406Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8273681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8273877Z 
2022-11-23T01:32:30.8273965Z aten = torch.ops.aten
2022-11-23T01:32:30.8274231Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8274493Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8274629Z 
2022-11-23T01:32:30.8274707Z import triton
2022-11-23T01:32:30.8274913Z import triton.language as tl
2022-11-23T01:32:30.8275166Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8275471Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8275651Z 
2022-11-23T01:32:30.8275655Z 
2022-11-23T01:32:30.8275827Z triton_fused_arange_add0 = async_compile.triton('''
2022-11-23T01:32:30.8276054Z import triton
2022-11-23T01:32:30.8276250Z import triton.language as tl
2022-11-23T01:32:30.8276502Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8276755Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8277026Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8277327Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8277490Z 
2022-11-23T01:32:30.8277864Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.8278200Z @triton.jit
2022-11-23T01:32:30.8278434Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8278670Z     xnumel = 14
2022-11-23T01:32:30.8278879Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8279145Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8279391Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8279583Z     x0 = xindex
2022-11-23T01:32:30.8279787Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8279992Z     tmp1 = 4*x0
2022-11-23T01:32:30.8280187Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.8280384Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.8280643Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.8280896Z ''')
2022-11-23T01:32:30.8281000Z 
2022-11-23T01:32:30.8281005Z 
2022-11-23T01:32:30.8281093Z async_compile.wait(globals())
2022-11-23T01:32:30.8281304Z del async_compile
2022-11-23T01:32:30.8281423Z 
2022-11-23T01:32:30.8281499Z def call(args):
2022-11-23T01:32:30.8281684Z     arg0_1, = args
2022-11-23T01:32:30.8281864Z     args.clear()
2022-11-23T01:32:30.8282177Z     buf0 = empty_strided((14, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8282437Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8282707Z     triton_fused_arange_add0.run(arg0_1, buf0, 14, grid=grid(14), stream=stream0)
2022-11-23T01:32:30.8282951Z     del arg0_1
2022-11-23T01:32:30.8283138Z     return (buf0, )
2022-11-23T01:32:30.8283248Z 
2022-11-23T01:32:30.8283260Z 
2022-11-23T01:32:30.8283335Z if __name__ == "__main__":
2022-11-23T01:32:30.8283575Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8283859Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8284212Z     arg0_1 = rand_strided((14, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8284495Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8284646Z 
2022-11-23T01:32:30.8284650Z 
2022-11-23T01:32:30.8284753Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8284963Z import torch
2022-11-23T01:32:30.8285140Z import random
2022-11-23T01:32:30.8285372Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8285650Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8285806Z 
2022-11-23T01:32:30.8285890Z aten = torch.ops.aten
2022-11-23T01:32:30.8286188Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8286458Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8286596Z 
2022-11-23T01:32:30.8286665Z import triton
2022-11-23T01:32:30.8286870Z import triton.language as tl
2022-11-23T01:32:30.8287153Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8287450Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8287626Z 
2022-11-23T01:32:30.8287631Z 
2022-11-23T01:32:30.8287801Z triton_fused_add_arange0 = async_compile.triton('''
2022-11-23T01:32:30.8288031Z import triton
2022-11-23T01:32:30.8288233Z import triton.language as tl
2022-11-23T01:32:30.8288472Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8288724Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8289005Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8289291Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8289454Z 
2022-11-23T01:32:30.8289831Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.8290172Z @triton.jit
2022-11-23T01:32:30.8290414Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8290642Z     xnumel = 14
2022-11-23T01:32:30.8290851Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8291127Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8291366Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8291563Z     x0 = xindex
2022-11-23T01:32:30.8291827Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8292056Z     tmp1 = 4*x0
2022-11-23T01:32:30.8292251Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.8292455Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:30.8292705Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.8292959Z ''')
2022-11-23T01:32:30.8293063Z 
2022-11-23T01:32:30.8293068Z 
2022-11-23T01:32:30.8293164Z async_compile.wait(globals())
2022-11-23T01:32:30.8293364Z del async_compile
2022-11-23T01:32:30.8293482Z 
2022-11-23T01:32:30.8293562Z def call(args):
2022-11-23T01:32:30.8293748Z     arg0_1, = args
2022-11-23T01:32:30.8293932Z     args.clear()
2022-11-23T01:32:30.8294240Z     buf0 = empty_strided((14, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8294498Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8294773Z     triton_fused_add_arange0.run(arg0_1, buf0, 14, grid=grid(14), stream=stream0)
2022-11-23T01:32:30.8295013Z     del arg0_1
2022-11-23T01:32:30.8295195Z     return (buf0, )
2022-11-23T01:32:30.8295311Z 
2022-11-23T01:32:30.8295316Z 
2022-11-23T01:32:30.8295398Z if __name__ == "__main__":
2022-11-23T01:32:30.8295628Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8295911Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8296272Z     arg0_1 = rand_strided((14, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8296553Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8296696Z 
2022-11-23T01:32:30.8296769Z ok (0.194s)
2022-11-23T01:32:30.8297188Z   test_arange4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8297739Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8298189Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8298630Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8299322Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8299908Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8300492Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8301101Z [2022-11-23 01:29:03,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8301716Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902> 
2022-11-23T01:32:30.8302083Z  903           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8302312Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8302547Z               4 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8302780Z               6 LOAD_CONST               1 (512)
2022-11-23T01:32:30.8303061Z               8 LOAD_CONST               2 (-512)
2022-11-23T01:32:30.8303328Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T01:32:30.8303560Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8303789Z              14 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.8304066Z              16 LOAD_CONST               4 (('device',))
2022-11-23T01:32:30.8304303Z              18 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.8304518Z              20 BINARY_SUBTRACT
2022-11-23T01:32:30.8304713Z              22 RETURN_VALUE
2022-11-23T01:32:30.8304896Z  
2022-11-23T01:32:30.8304995Z 
2022-11-23T01:32:30.8305313Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903
2022-11-23T01:32:30.8305755Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8306188Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.8306787Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8307432Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8308079Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8308780Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8309544Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:30.8310425Z [2022-11-23 01:29:03,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.8311289Z [2022-11-23 01:29:03,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8312213Z [2022-11-23 01:29:03,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8312894Z [2022-11-23 01:29:03,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8313357Z [2022-11-23 01:29:03,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8313933Z [2022-11-23 01:29:03,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902>
2022-11-23T01:32:30.8314454Z [2022-11-23 01:29:03,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8314890Z [2022-11-23 01:29:03,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8315333Z [2022-11-23 01:29:03,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8315792Z [2022-11-23 01:29:03,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8316186Z [2022-11-23 01:29:03,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8316495Z  __compiled_fn_359 <eval_with_key>.2220 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8316755Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8317193Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (512, -512, -1.0), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8317601Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T01:32:30.8317860Z output, output, output, ((sub,),), {}
2022-11-23T01:32:30.8318004Z 
2022-11-23T01:32:30.8318343Z [2022-11-23 01:29:03,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8318690Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8318923Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8319145Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8319373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8319597Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8319813Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8320026Z              12 RETURN_VALUE
2022-11-23T01:32:30.8320149Z 
2022-11-23T01:32:30.8320216Z  
2022-11-23T01:32:30.8320633Z [2022-11-23 01:29:03,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8320994Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_359)
2022-11-23T01:32:30.8321239Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8321472Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8321679Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8321915Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8322164Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8322370Z              12 RETURN_VALUE
2022-11-23T01:32:30.8322496Z 
2022-11-23T01:32:30.8322562Z  
2022-11-23T01:32:30.8322850Z [2022-11-23 01:29:03,080] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8323085Z  - 
2022-11-23T01:32:30.8323313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8323510Z             {
2022-11-23T01:32:30.8323756Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8324092Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8324375Z                 'obj_weakref': None
2022-11-23T01:32:30.8324724Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8324976Z             }
2022-11-23T01:32:30.8325194Z             
2022-11-23T01:32:30.8325371Z  - 
2022-11-23T01:32:30.8325602Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8325803Z             {
2022-11-23T01:32:30.8326048Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8326391Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8326761Z                 'obj_weakref': <weakref at 0x7f1fe81de430; to 'Tensor' at 0x7f1feacefab0>
2022-11-23T01:32:30.8327195Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8327452Z             }
2022-11-23T01:32:30.8327628Z             
2022-11-23T01:32:30.8327807Z  - 
2022-11-23T01:32:30.8328028Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8328229Z             {
2022-11-23T01:32:30.8328485Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8328730Z                 'code': None,
2022-11-23T01:32:30.8329071Z                 'obj_weakref': <weakref at 0x7f1fe81de430; to 'Tensor' at 0x7f1feacefab0>
2022-11-23T01:32:30.8329501Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8329750Z             }
2022-11-23T01:32:30.8329928Z             
2022-11-23T01:32:30.8330108Z  - 
2022-11-23T01:32:30.8330334Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8330534Z             {
2022-11-23T01:32:30.8330779Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8331097Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8331362Z                 'obj_weakref': None
2022-11-23T01:32:30.8331725Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8331972Z             }
2022-11-23T01:32:30.8332137Z             
2022-11-23T01:32:30.8332316Z  - 
2022-11-23T01:32:30.8332540Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8332730Z             {
2022-11-23T01:32:30.8332979Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8333339Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8333635Z                 'obj_weakref': None
2022-11-23T01:32:30.8333991Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8334237Z             }
2022-11-23T01:32:30.8334403Z             
2022-11-23T01:32:30.8334580Z  - 
2022-11-23T01:32:30.8334814Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8335012Z             {
2022-11-23T01:32:30.8335242Z                 'guard_types': None,
2022-11-23T01:32:30.8335484Z                 'code': None,
2022-11-23T01:32:30.8335717Z                 'obj_weakref': None
2022-11-23T01:32:30.8335967Z                 'guarded_class': None
2022-11-23T01:32:30.8336163Z             }
2022-11-23T01:32:30.8336325Z             
2022-11-23T01:32:30.8336701Z [2022-11-23 01:29:03,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349
2022-11-23T01:32:30.8337161Z [2022-11-23 01:29:03,090] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8337739Z [2022-11-23 01:29:03,153] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/op/coppil56pzefsgxup6dm74zwiq3quzuvh7bxhiuakblhulahwep5.py
2022-11-23T01:32:30.8338287Z [2022-11-23 01:29:03,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349
2022-11-23T01:32:30.8338739Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8339446Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8339912Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8340406Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8340901Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8341475Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8342070Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8342652Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8343278Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902> 
2022-11-23T01:32:30.8343648Z  903           0 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8343882Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.8344109Z               4 LOAD_ATTR                1 (arange)
2022-11-23T01:32:30.8344343Z               6 LOAD_CONST               1 (512)
2022-11-23T01:32:30.8344619Z               8 LOAD_CONST               2 (-512)
2022-11-23T01:32:30.8344883Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T01:32:30.8345110Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8345335Z              14 LOAD_ATTR                2 (device)
2022-11-23T01:32:30.8345614Z              16 LOAD_CONST               4 (('device',))
2022-11-23T01:32:30.8345849Z              18 CALL_FUNCTION_KW         4
2022-11-23T01:32:30.8346066Z              20 BINARY_SUBTRACT
2022-11-23T01:32:30.8346268Z              22 RETURN_VALUE
2022-11-23T01:32:30.8346446Z  
2022-11-23T01:32:30.8346452Z 
2022-11-23T01:32:30.8346774Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903
2022-11-23T01:32:30.8346994Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:30.8347252Z [2022-11-23 01:29:03,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.8347647Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.8348000Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.8348392Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:30.8348814Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8349271Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:30.8349757Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:30.8350357Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cuda:0)]
2022-11-23T01:32:30.8350935Z [2022-11-23 01:29:03,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:30.8351243Z [2022-11-23 01:29:03,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8351493Z [2022-11-23 01:29:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8351868Z [2022-11-23 01:29:03,159] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902>
2022-11-23T01:32:30.8352121Z [2022-11-23 01:29:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8352363Z [2022-11-23 01:29:03,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8352625Z [2022-11-23 01:29:03,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8352881Z [2022-11-23 01:29:03,163] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8353075Z [2022-11-23 01:29:03,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8353219Z  __compiled_fn_360 <eval_with_key>.2226 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8353310Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8353614Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (512, -512, -1.0), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:30.8353802Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T01:32:30.8353909Z output, output, output, ((sub,),), {}
2022-11-23T01:32:30.8353915Z 
2022-11-23T01:32:30.8354245Z [2022-11-23 01:29:03,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8354352Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8354451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8354546Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8354641Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8354735Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8354830Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8354912Z              12 RETURN_VALUE
2022-11-23T01:32:30.8354918Z 
2022-11-23T01:32:30.8354984Z  
2022-11-23T01:32:30.8355305Z [2022-11-23 01:29:03,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8355429Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_360)
2022-11-23T01:32:30.8355527Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8355620Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8355705Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8355801Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8355898Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8355979Z              12 RETURN_VALUE
2022-11-23T01:32:30.8355984Z 
2022-11-23T01:32:30.8356050Z  
2022-11-23T01:32:30.8356239Z [2022-11-23 01:29:03,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8356310Z  - 
2022-11-23T01:32:30.8356435Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8356506Z             {
2022-11-23T01:32:30.8356653Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8356874Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8357000Z                 'obj_weakref': None
2022-11-23T01:32:30.8357226Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8357315Z             }
2022-11-23T01:32:30.8357386Z             
2022-11-23T01:32:30.8357465Z  - 
2022-11-23T01:32:30.8357592Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8357662Z             {
2022-11-23T01:32:30.8357806Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8357982Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8358191Z                 'obj_weakref': <weakref at 0x7f1fe0306200; to 'Tensor' at 0x7f1fead36200>
2022-11-23T01:32:30.8358445Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8358517Z             }
2022-11-23T01:32:30.8358586Z             
2022-11-23T01:32:30.8358663Z  - 
2022-11-23T01:32:30.8358796Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8358869Z             {
2022-11-23T01:32:30.8359013Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8359131Z                 'code': None,
2022-11-23T01:32:30.8359347Z                 'obj_weakref': <weakref at 0x7f1fe0306200; to 'Tensor' at 0x7f1fead36200>
2022-11-23T01:32:30.8359595Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8359664Z             }
2022-11-23T01:32:30.8359733Z             
2022-11-23T01:32:30.8359809Z  - 
2022-11-23T01:32:30.8359940Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8360012Z             {
2022-11-23T01:32:30.8360155Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8360332Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8360459Z                 'obj_weakref': None
2022-11-23T01:32:30.8360698Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8360769Z             }
2022-11-23T01:32:30.8360831Z             
2022-11-23T01:32:30.8360907Z  - 
2022-11-23T01:32:30.8361039Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8361110Z             {
2022-11-23T01:32:30.8361253Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8361477Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8361603Z                 'obj_weakref': None
2022-11-23T01:32:30.8361825Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8361897Z             }
2022-11-23T01:32:30.8361966Z             
2022-11-23T01:32:30.8362042Z  - 
2022-11-23T01:32:30.8362181Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.8362250Z             {
2022-11-23T01:32:30.8362378Z                 'guard_types': None,
2022-11-23T01:32:30.8362488Z                 'code': None,
2022-11-23T01:32:30.8362612Z                 'obj_weakref': None
2022-11-23T01:32:30.8362742Z                 'guarded_class': None
2022-11-23T01:32:30.8362811Z             }
2022-11-23T01:32:30.8362884Z             
2022-11-23T01:32:30.8363151Z [2022-11-23 01:29:03,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350
2022-11-23T01:32:30.8363408Z [2022-11-23 01:29:03,172] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8363779Z [2022-11-23 01:29:03,235] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jy/cjyrdeycpe5n7dl5ljrgg3ogqf2vigoruaxrfakxdyuo6ehpm6xp.py
2022-11-23T01:32:30.8364045Z [2022-11-23 01:29:03,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350
2022-11-23T01:32:30.8364050Z 
2022-11-23T01:32:30.8364153Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8364229Z import torch
2022-11-23T01:32:30.8364342Z import random
2022-11-23T01:32:30.8364469Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8364598Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8364604Z 
2022-11-23T01:32:30.8364713Z aten = torch.ops.aten
2022-11-23T01:32:30.8364859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8364951Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8364956Z 
2022-11-23T01:32:30.8365032Z import triton
2022-11-23T01:32:30.8365126Z import triton.language as tl
2022-11-23T01:32:30.8365255Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8365400Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8365406Z 
2022-11-23T01:32:30.8365410Z 
2022-11-23T01:32:30.8365583Z triton_fused_sub_arange0 = async_compile.triton('''
2022-11-23T01:32:30.8365659Z import triton
2022-11-23T01:32:30.8365746Z import triton.language as tl
2022-11-23T01:32:30.8365866Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8365972Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8366108Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8366235Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8366244Z 
2022-11-23T01:32:30.8366629Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8366705Z @triton.jit
2022-11-23T01:32:30.8366843Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8366913Z     xnumel = 1024
2022-11-23T01:32:30.8367013Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8367148Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8367234Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8367309Z     x0 = xindex
2022-11-23T01:32:30.8367411Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8367528Z     tmp1 = 512 + ((-1)*x0)
2022-11-23T01:32:30.8367613Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.8367727Z     tmp3 = tmp0 - tmp2
2022-11-23T01:32:30.8367872Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.8367959Z ''')
2022-11-23T01:32:30.8367965Z 
2022-11-23T01:32:30.8367969Z 
2022-11-23T01:32:30.8368066Z async_compile.wait(globals())
2022-11-23T01:32:30.8368145Z del async_compile
2022-11-23T01:32:30.8368151Z 
2022-11-23T01:32:30.8368228Z def call(args):
2022-11-23T01:32:30.8368303Z     arg0_1, = args
2022-11-23T01:32:30.8368373Z     args.clear()
2022-11-23T01:32:30.8368578Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8368672Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8368823Z     triton_fused_sub_arange0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:30.8368896Z     del arg0_1
2022-11-23T01:32:30.8368974Z     return (buf0, )
2022-11-23T01:32:30.8368982Z 
2022-11-23T01:32:30.8368987Z 
2022-11-23T01:32:30.8369069Z if __name__ == "__main__":
2022-11-23T01:32:30.8369183Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8369319Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8369526Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8369641Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8369646Z 
2022-11-23T01:32:30.8369651Z 
2022-11-23T01:32:30.8369753Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8369828Z import torch
2022-11-23T01:32:30.8369904Z import random
2022-11-23T01:32:30.8370027Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8370148Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8370153Z 
2022-11-23T01:32:30.8370239Z aten = torch.ops.aten
2022-11-23T01:32:30.8370380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8370511Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8370517Z 
2022-11-23T01:32:30.8370594Z import triton
2022-11-23T01:32:30.8370690Z import triton.language as tl
2022-11-23T01:32:30.8370842Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8370989Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8370995Z 
2022-11-23T01:32:30.8370999Z 
2022-11-23T01:32:30.8371159Z triton_fused_arange_sub0 = async_compile.triton('''
2022-11-23T01:32:30.8371235Z import triton
2022-11-23T01:32:30.8371329Z import triton.language as tl
2022-11-23T01:32:30.8371445Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8371549Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8371685Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8371813Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8371818Z 
2022-11-23T01:32:30.8372197Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8372266Z @triton.jit
2022-11-23T01:32:30.8372406Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8372482Z     xnumel = 1024
2022-11-23T01:32:30.8372586Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8372719Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8372805Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8372879Z     x0 = xindex
2022-11-23T01:32:30.8372994Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8373111Z     tmp1 = 512 + ((-1)*x0)
2022-11-23T01:32:30.8373201Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:30.8373313Z     tmp3 = tmp0 - tmp2
2022-11-23T01:32:30.8373452Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.8373540Z ''')
2022-11-23T01:32:30.8373545Z 
2022-11-23T01:32:30.8373552Z 
2022-11-23T01:32:30.8373650Z async_compile.wait(globals())
2022-11-23T01:32:30.8373729Z del async_compile
2022-11-23T01:32:30.8373734Z 
2022-11-23T01:32:30.8373804Z def call(args):
2022-11-23T01:32:30.8373884Z     arg0_1, = args
2022-11-23T01:32:30.8373963Z     args.clear()
2022-11-23T01:32:30.8374164Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8374256Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8374405Z     triton_fused_arange_sub0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:30.8374481Z     del arg0_1
2022-11-23T01:32:30.8374551Z     return (buf0, )
2022-11-23T01:32:30.8374556Z 
2022-11-23T01:32:30.8374561Z 
2022-11-23T01:32:30.8374645Z if __name__ == "__main__":
2022-11-23T01:32:30.8374766Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8374895Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8375102Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8375220Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8375225Z 
2022-11-23T01:32:30.8375298Z ok (0.167s)
2022-11-23T01:32:30.8375621Z   test_argmax_argmin1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:03,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8375933Z [2022-11-23 01:29:03,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8376157Z [2022-11-23 01:29:03,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8376414Z [2022-11-23 01:29:03,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8376696Z [2022-11-23 01:29:03,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8377048Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8377398Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8377742Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8378114Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247> 
2022-11-23T01:32:30.8378218Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8378326Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8378418Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8378518Z                6 CALL_METHOD              1
2022-11-23T01:32:30.8378617Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8378718Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8379013Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8379114Z               14 CALL_METHOD              1
2022-11-23T01:32:30.8379212Z               16 BUILD_TUPLE              2
2022-11-23T01:32:30.8379288Z               18 RETURN_VALUE
2022-11-23T01:32:30.8379356Z  
2022-11-23T01:32:30.8379362Z 
2022-11-23T01:32:30.8379686Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248
2022-11-23T01:32:30.8379909Z [2022-11-23 01:29:03,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8380218Z [2022-11-23 01:29:03,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8380477Z [2022-11-23 01:29:03,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8380770Z [2022-11-23 01:29:03,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8381025Z [2022-11-23 01:29:03,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8381366Z [2022-11-23 01:29:03,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8381655Z [2022-11-23 01:29:03,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8381968Z [2022-11-23 01:29:03,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8382244Z [2022-11-23 01:29:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8382497Z [2022-11-23 01:29:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8382880Z [2022-11-23 01:29:03,256] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247>
2022-11-23T01:32:30.8383129Z [2022-11-23 01:29:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8383366Z [2022-11-23 01:29:03,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8383622Z [2022-11-23 01:29:03,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8383879Z [2022-11-23 01:29:03,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8384125Z [2022-11-23 01:29:03,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8384263Z  __compiled_fn_361 <eval_with_key>.2232 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8384391Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8384510Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T01:32:30.8384627Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T01:32:30.8384745Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:30.8384751Z 
2022-11-23T01:32:30.8385079Z [2022-11-23 01:29:03,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8385182Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8385281Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8385369Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8385469Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8385569Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8385667Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8385749Z              12 RETURN_VALUE
2022-11-23T01:32:30.8385758Z 
2022-11-23T01:32:30.8385826Z  
2022-11-23T01:32:30.8386148Z [2022-11-23 01:29:03,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8386268Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_361)
2022-11-23T01:32:30.8386358Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8386456Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8386542Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8386638Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8386749Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8386861Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8386962Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8387038Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8387147Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8387246Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8387328Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8387423Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8387506Z              26 RETURN_VALUE
2022-11-23T01:32:30.8387512Z 
2022-11-23T01:32:30.8387578Z  
2022-11-23T01:32:30.8387759Z [2022-11-23 01:29:03,260] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8387838Z  - 
2022-11-23T01:32:30.8387962Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8388038Z             {
2022-11-23T01:32:30.8388182Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8388375Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8388499Z                 'obj_weakref': None
2022-11-23T01:32:30.8388720Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8388793Z             }
2022-11-23T01:32:30.8388864Z             
2022-11-23T01:32:30.8388945Z  - 
2022-11-23T01:32:30.8389076Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8389145Z             {
2022-11-23T01:32:30.8389291Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8389397Z                 'code': None,
2022-11-23T01:32:30.8389611Z                 'obj_weakref': <weakref at 0x7f1fe0334130; to 'Tensor' at 0x7f1fe80facf0>
2022-11-23T01:32:30.8389863Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8389934Z             }
2022-11-23T01:32:30.8390004Z             
2022-11-23T01:32:30.8390079Z  - 
2022-11-23T01:32:30.8390219Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8390346Z             {
2022-11-23T01:32:30.8390548Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8390736Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8390862Z                 'obj_weakref': None
2022-11-23T01:32:30.8391150Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8391220Z             }
2022-11-23T01:32:30.8391292Z             
2022-11-23T01:32:30.8391362Z  - 
2022-11-23T01:32:30.8391492Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8391564Z             {
2022-11-23T01:32:30.8391708Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8391928Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8392052Z                 'obj_weakref': None
2022-11-23T01:32:30.8392275Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8392338Z             }
2022-11-23T01:32:30.8392409Z             
2022-11-23T01:32:30.8392489Z  - 
2022-11-23T01:32:30.8392630Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8392699Z             {
2022-11-23T01:32:30.8392825Z                 'guard_types': None,
2022-11-23T01:32:30.8392941Z                 'code': None,
2022-11-23T01:32:30.8393056Z                 'obj_weakref': None
2022-11-23T01:32:30.8393183Z                 'guarded_class': None
2022-11-23T01:32:30.8393254Z             }
2022-11-23T01:32:30.8393324Z             
2022-11-23T01:32:30.8393587Z [2022-11-23 01:29:03,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351
2022-11-23T01:32:30.8393882Z [2022-11-23 01:29:03,272] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8394252Z [2022-11-23 01:29:03,493] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bk/cbkilp6fwjjn2hcibtbddfp7xqnarulvigkj47iw5gvnwmebufzu.py
2022-11-23T01:32:30.8394522Z [2022-11-23 01:29:03,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351
2022-11-23T01:32:30.8394756Z [2022-11-23 01:29:03,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8395078Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8395303Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8395559Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8395838Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8396157Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8396508Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8396835Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8397218Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247> 
2022-11-23T01:32:30.8397322Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8397420Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8397518Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8397617Z                6 CALL_METHOD              1
2022-11-23T01:32:30.8397718Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8397862Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8397962Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8398059Z               14 CALL_METHOD              1
2022-11-23T01:32:30.8398173Z               16 BUILD_TUPLE              2
2022-11-23T01:32:30.8398257Z               18 RETURN_VALUE
2022-11-23T01:32:30.8398328Z  
2022-11-23T01:32:30.8398333Z 
2022-11-23T01:32:30.8398651Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248
2022-11-23T01:32:30.8398877Z [2022-11-23 01:29:03,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8399191Z [2022-11-23 01:29:03,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8399452Z [2022-11-23 01:29:03,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8399750Z [2022-11-23 01:29:03,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8400001Z [2022-11-23 01:29:03,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8400343Z [2022-11-23 01:29:03,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8400625Z [2022-11-23 01:29:03,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8400946Z [2022-11-23 01:29:03,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8401219Z [2022-11-23 01:29:03,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8401474Z [2022-11-23 01:29:03,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8401854Z [2022-11-23 01:29:03,509] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247>
2022-11-23T01:32:30.8402106Z [2022-11-23 01:29:03,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8402343Z [2022-11-23 01:29:03,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8402599Z [2022-11-23 01:29:03,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8402857Z [2022-11-23 01:29:03,512] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8403050Z [2022-11-23 01:29:03,512] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8403194Z  __compiled_fn_362 <eval_with_key>.2238 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8403291Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8403409Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T01:32:30.8403527Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T01:32:30.8403646Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:30.8403652Z 
2022-11-23T01:32:30.8403980Z [2022-11-23 01:29:03,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8404082Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8404174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8404269Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8404370Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8404464Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8404559Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8404670Z              12 RETURN_VALUE
2022-11-23T01:32:30.8404676Z 
2022-11-23T01:32:30.8404744Z  
2022-11-23T01:32:30.8405066Z [2022-11-23 01:29:03,513] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8405202Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_362)
2022-11-23T01:32:30.8405300Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8405400Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8405484Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8405577Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8405690Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8405801Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8405892Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8405975Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8406088Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8406185Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8406267Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8406361Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8406447Z              26 RETURN_VALUE
2022-11-23T01:32:30.8406452Z 
2022-11-23T01:32:30.8406519Z  
2022-11-23T01:32:30.8406703Z [2022-11-23 01:29:03,513] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8406781Z  - 
2022-11-23T01:32:30.8406907Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8406977Z             {
2022-11-23T01:32:30.8407125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8407316Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8407443Z                 'obj_weakref': None
2022-11-23T01:32:30.8407662Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8407732Z             }
2022-11-23T01:32:30.8407804Z             
2022-11-23T01:32:30.8407881Z  - 
2022-11-23T01:32:30.8408012Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8408083Z             {
2022-11-23T01:32:30.8408226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8408340Z                 'code': None,
2022-11-23T01:32:30.8408558Z                 'obj_weakref': <weakref at 0x7f1fe819ebb0; to 'Tensor' at 0x7f1fe80fa750>
2022-11-23T01:32:30.8408810Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8408881Z             }
2022-11-23T01:32:30.8408950Z             
2022-11-23T01:32:30.8409028Z  - 
2022-11-23T01:32:30.8409165Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8409228Z             {
2022-11-23T01:32:30.8409369Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8409545Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8409673Z                 'obj_weakref': None
2022-11-23T01:32:30.8409909Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8409979Z             }
2022-11-23T01:32:30.8410052Z             
2022-11-23T01:32:30.8410121Z  - 
2022-11-23T01:32:30.8410248Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8410318Z             {
2022-11-23T01:32:30.8410461Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8410685Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8410813Z                 'obj_weakref': None
2022-11-23T01:32:30.8411040Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8411103Z             }
2022-11-23T01:32:30.8411172Z             
2022-11-23T01:32:30.8411248Z  - 
2022-11-23T01:32:30.8411386Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8411455Z             {
2022-11-23T01:32:30.8411616Z                 'guard_types': None,
2022-11-23T01:32:30.8411724Z                 'code': None,
2022-11-23T01:32:30.8411851Z                 'obj_weakref': None
2022-11-23T01:32:30.8412004Z                 'guarded_class': None
2022-11-23T01:32:30.8412074Z             }
2022-11-23T01:32:30.8412143Z             
2022-11-23T01:32:30.8412410Z [2022-11-23 01:29:03,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352
2022-11-23T01:32:30.8412709Z [2022-11-23 01:29:03,522] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8413085Z [2022-11-23 01:29:03,647] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vv/cvvapbbecpqdlk4dcuv7dzmwsbumyw7bxf5i57xmriduhpprxp23.py
2022-11-23T01:32:30.8413349Z [2022-11-23 01:29:03,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352
2022-11-23T01:32:30.8413362Z 
2022-11-23T01:32:30.8413463Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8413541Z import torch
2022-11-23T01:32:30.8413617Z import random
2022-11-23T01:32:30.8413739Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8413870Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8413876Z 
2022-11-23T01:32:30.8413960Z aten = torch.ops.aten
2022-11-23T01:32:30.8414101Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8414194Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8414199Z 
2022-11-23T01:32:30.8414276Z import triton
2022-11-23T01:32:30.8414370Z import triton.language as tl
2022-11-23T01:32:30.8414500Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8414644Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8414649Z 
2022-11-23T01:32:30.8414654Z 
2022-11-23T01:32:30.8414827Z triton_fused_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:30.8414906Z import triton
2022-11-23T01:32:30.8415003Z import triton.language as tl
2022-11-23T01:32:30.8415113Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8415223Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8415361Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8415490Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8415496Z 
2022-11-23T01:32:30.8415591Z @reduction(size_hints=[1, 524288],
2022-11-23T01:32:30.8415710Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8415798Z               filename=__file__,
2022-11-23T01:32:30.8416135Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:30.8416211Z @triton.jit
2022-11-23T01:32:30.8416397Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8416475Z     xnumel = 1
2022-11-23T01:32:30.8416552Z     rnumel = 524288
2022-11-23T01:32:30.8416653Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8416793Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8416885Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8417003Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8417190Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8417312Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8417445Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8417563Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8417672Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8417764Z         rindex = roffset + rbase
2022-11-23T01:32:30.8417846Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8417919Z         r0 = rindex
2022-11-23T01:32:30.8418152Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8418305Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8418438Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8418607Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8418735Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8419045Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8419155Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8419279Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8419377Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8419467Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8419596Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8419739Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:30.8419837Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8419942Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8420065Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8420166Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8420256Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8420383Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8420517Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.8420612Z ''')
2022-11-23T01:32:30.8420617Z 
2022-11-23T01:32:30.8420622Z 
2022-11-23T01:32:30.8420718Z async_compile.wait(globals())
2022-11-23T01:32:30.8420790Z del async_compile
2022-11-23T01:32:30.8420795Z 
2022-11-23T01:32:30.8420874Z def call(args):
2022-11-23T01:32:30.8420949Z     arg0_1, = args
2022-11-23T01:32:30.8421026Z     args.clear()
2022-11-23T01:32:30.8421213Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8421395Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8421488Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8421650Z     triton_fused_argmin_argmax0.run(arg0_1, buf0, buf1, 1, 524288, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.8421725Z     del arg0_1
2022-11-23T01:32:30.8421809Z     return (buf0, buf1, )
2022-11-23T01:32:30.8421815Z 
2022-11-23T01:32:30.8421819Z 
2022-11-23T01:32:30.8421901Z if __name__ == "__main__":
2022-11-23T01:32:30.8422022Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8422153Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8422374Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8422489Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8422495Z 
2022-11-23T01:32:30.8422499Z 
2022-11-23T01:32:30.8422593Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8422672Z import torch
2022-11-23T01:32:30.8422747Z import random
2022-11-23T01:32:30.8422868Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8422995Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8423003Z 
2022-11-23T01:32:30.8423087Z aten = torch.ops.aten
2022-11-23T01:32:30.8423228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8423320Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8423332Z 
2022-11-23T01:32:30.8423401Z import triton
2022-11-23T01:32:30.8423494Z import triton.language as tl
2022-11-23T01:32:30.8423622Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8423766Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8423772Z 
2022-11-23T01:32:30.8423776Z 
2022-11-23T01:32:30.8423949Z triton_fused_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:30.8424025Z import triton
2022-11-23T01:32:30.8424120Z import triton.language as tl
2022-11-23T01:32:30.8424279Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8424386Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8424522Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8424678Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8424684Z 
2022-11-23T01:32:30.8424780Z @reduction(size_hints=[1, 524288],
2022-11-23T01:32:30.8424898Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8424985Z               filename=__file__,
2022-11-23T01:32:30.8425329Z               meta={'signature': {0: '*fp16', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:30.8425398Z @triton.jit
2022-11-23T01:32:30.8425584Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8425660Z     xnumel = 1
2022-11-23T01:32:30.8425740Z     rnumel = 524288
2022-11-23T01:32:30.8425840Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8425979Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8426067Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8426182Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8426369Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8426493Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8426623Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8426742Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8426849Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8426939Z         rindex = roffset + rbase
2022-11-23T01:32:30.8427021Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8427094Z         r0 = rindex
2022-11-23T01:32:30.8427320Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8427468Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8427602Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8427750Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8427877Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8427975Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8428085Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8428208Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8428306Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8428395Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8428525Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8428661Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:30.8428763Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8428868Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8428992Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8429092Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8429181Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8429309Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8429443Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:30.8429532Z ''')
2022-11-23T01:32:30.8429538Z 
2022-11-23T01:32:30.8429542Z 
2022-11-23T01:32:30.8429642Z async_compile.wait(globals())
2022-11-23T01:32:30.8429714Z del async_compile
2022-11-23T01:32:30.8429719Z 
2022-11-23T01:32:30.8429797Z def call(args):
2022-11-23T01:32:30.8429872Z     arg0_1, = args
2022-11-23T01:32:30.8429949Z     args.clear()
2022-11-23T01:32:30.8430136Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8430434Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8430531Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8430688Z     triton_fused_argmin_argmax0.run(arg0_1, buf0, buf1, 1, 524288, grid=grid(1), stream=stream0)
2022-11-23T01:32:30.8430788Z     del arg0_1
2022-11-23T01:32:30.8430872Z     return (buf0, buf1, )
2022-11-23T01:32:30.8430877Z 
2022-11-23T01:32:30.8430882Z 
2022-11-23T01:32:30.8430965Z if __name__ == "__main__":
2022-11-23T01:32:30.8431089Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8431221Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8431446Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8431562Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8431567Z 
2022-11-23T01:32:30.8431633Z ok (0.412s)
2022-11-23T01:32:30.8431955Z   test_argmax_argmin2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8432272Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8432504Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8432768Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8433052Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8433377Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8433724Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8434050Z [2022-11-23 01:29:03,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8434431Z [2022-11-23 01:29:03,652] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258> 
2022-11-23T01:32:30.8434536Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8434633Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8434733Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8434832Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8434932Z                8 CALL_METHOD              2
2022-11-23T01:32:30.8434937Z 
2022-11-23T01:32:30.8435037Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8435137Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8435236Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8435326Z               16 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8435420Z               18 CALL_METHOD              2
2022-11-23T01:32:30.8435427Z 
2022-11-23T01:32:30.8435527Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8435627Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8435723Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8435818Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8435913Z               28 CALL_METHOD              2
2022-11-23T01:32:30.8435918Z 
2022-11-23T01:32:30.8436016Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8436109Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8436206Z               34 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8436299Z               36 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8436430Z               38 CALL_METHOD              2
2022-11-23T01:32:30.8436436Z 
2022-11-23T01:32:30.8436533Z 4259          40 BUILD_TUPLE              4
2022-11-23T01:32:30.8436617Z               42 RETURN_VALUE
2022-11-23T01:32:30.8436708Z  
2022-11-23T01:32:30.8436714Z 
2022-11-23T01:32:30.8437034Z [2022-11-23 01:29:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260
2022-11-23T01:32:30.8437251Z [2022-11-23 01:29:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8437563Z [2022-11-23 01:29:03,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8437823Z [2022-11-23 01:29:03,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8438110Z [2022-11-23 01:29:03,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8438433Z [2022-11-23 01:29:03,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8438751Z [2022-11-23 01:29:03,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261
2022-11-23T01:32:30.8438999Z [2022-11-23 01:29:03,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8439332Z [2022-11-23 01:29:03,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8439619Z [2022-11-23 01:29:03,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8439936Z [2022-11-23 01:29:03,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8440284Z [2022-11-23 01:29:03,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8440606Z [2022-11-23 01:29:03,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262
2022-11-23T01:32:30.8440884Z [2022-11-23 01:29:03,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8441252Z [2022-11-23 01:29:03,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8441567Z [2022-11-23 01:29:03,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8441910Z [2022-11-23 01:29:03,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8442289Z [2022-11-23 01:29:03,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8442608Z [2022-11-23 01:29:03,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263
2022-11-23T01:32:30.8442912Z [2022-11-23 01:29:03,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8443306Z [2022-11-23 01:29:03,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8443680Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8444040Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8444475Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8444777Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259
2022-11-23T01:32:30.8445101Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8445355Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8445734Z [2022-11-23 01:29:03,677] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258>
2022-11-23T01:32:30.8445983Z [2022-11-23 01:29:03,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8446223Z [2022-11-23 01:29:03,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8446481Z [2022-11-23 01:29:03,679] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8446740Z [2022-11-23 01:29:03,682] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8446938Z [2022-11-23 01:29:03,682] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8447084Z  __compiled_fn_363 <eval_with_key>.2244 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8447174Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8447292Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T01:32:30.8447406Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T01:32:30.8447532Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T01:32:30.8447649Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T01:32:30.8447788Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T01:32:30.8447794Z 
2022-11-23T01:32:30.8448131Z [2022-11-23 01:29:03,682] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8448232Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8448324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8448420Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8448522Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8448620Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8448717Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8448800Z              12 RETURN_VALUE
2022-11-23T01:32:30.8448808Z 
2022-11-23T01:32:30.8448875Z  
2022-11-23T01:32:30.8449188Z [2022-11-23 01:29:03,682] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8449308Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_363)
2022-11-23T01:32:30.8449406Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8449504Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8449589Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8449684Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8449797Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8449909Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8450028Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8450118Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8450232Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8450352Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8450434Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8450541Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8450637Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8450713Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.8450823Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8450920Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.8451001Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.8451096Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.8451179Z              38 RETURN_VALUE
2022-11-23T01:32:30.8451184Z 
2022-11-23T01:32:30.8451251Z  
2022-11-23T01:32:30.8451439Z [2022-11-23 01:29:03,683] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8451516Z  - 
2022-11-23T01:32:30.8451641Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8451713Z             {
2022-11-23T01:32:30.8451866Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8452061Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8452187Z                 'obj_weakref': None
2022-11-23T01:32:30.8452408Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8452479Z             }
2022-11-23T01:32:30.8452548Z             
2022-11-23T01:32:30.8452625Z  - 
2022-11-23T01:32:30.8452756Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8452825Z             {
2022-11-23T01:32:30.8452973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8453078Z                 'code': None,
2022-11-23T01:32:30.8461710Z                 'obj_weakref': <weakref at 0x7f1fe0335b20; to 'Tensor' at 0x7f1fead90770>
2022-11-23T01:32:30.8462019Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8462092Z             }
2022-11-23T01:32:30.8462165Z             
2022-11-23T01:32:30.8462243Z  - 
2022-11-23T01:32:30.8462375Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8462446Z             {
2022-11-23T01:32:30.8462592Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8462769Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8462896Z                 'obj_weakref': None
2022-11-23T01:32:30.8463131Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8463201Z             }
2022-11-23T01:32:30.8463262Z             
2022-11-23T01:32:30.8463341Z  - 
2022-11-23T01:32:30.8463471Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8463542Z             {
2022-11-23T01:32:30.8463689Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8463908Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8464036Z                 'obj_weakref': None
2022-11-23T01:32:30.8464253Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8464323Z             }
2022-11-23T01:32:30.8464392Z             
2022-11-23T01:32:30.8464468Z  - 
2022-11-23T01:32:30.8464602Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8464672Z             {
2022-11-23T01:32:30.8464796Z                 'guard_types': None,
2022-11-23T01:32:30.8464901Z                 'code': None,
2022-11-23T01:32:30.8465023Z                 'obj_weakref': None
2022-11-23T01:32:30.8465147Z                 'guarded_class': None
2022-11-23T01:32:30.8465217Z             }
2022-11-23T01:32:30.8465285Z             
2022-11-23T01:32:30.8465643Z [2022-11-23 01:29:03,688] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353
2022-11-23T01:32:30.8465944Z [2022-11-23 01:29:03,700] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8466255Z [2022-11-23 01:29:03,702] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.8466625Z [2022-11-23 01:29:05,134] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4z/c4zityyfaucul64treghl7xweiqpxp2mi2lvneg5tlxzmzclmsde.py
2022-11-23T01:32:30.8466894Z [2022-11-23 01:29:05,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353
2022-11-23T01:32:30.8467138Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8467453Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8467680Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8467936Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8468221Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8468538Z [2022-11-23 01:29:05,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8468882Z [2022-11-23 01:29:05,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8469196Z [2022-11-23 01:29:05,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8469569Z [2022-11-23 01:29:05,140] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258> 
2022-11-23T01:32:30.8469679Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8469784Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8469883Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8469980Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8470077Z                8 CALL_METHOD              2
2022-11-23T01:32:30.8470082Z 
2022-11-23T01:32:30.8470182Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8470358Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8470467Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8470566Z               16 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8470661Z               18 CALL_METHOD              2
2022-11-23T01:32:30.8470667Z 
2022-11-23T01:32:30.8470767Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8470868Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:30.8470963Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8471061Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8471148Z               28 CALL_METHOD              2
2022-11-23T01:32:30.8471153Z 
2022-11-23T01:32:30.8471252Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8471350Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:30.8471446Z               34 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8471542Z               36 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8471635Z               38 CALL_METHOD              2
2022-11-23T01:32:30.8471641Z 
2022-11-23T01:32:30.8471736Z 4259          40 BUILD_TUPLE              4
2022-11-23T01:32:30.8471819Z               42 RETURN_VALUE
2022-11-23T01:32:30.8471879Z  
2022-11-23T01:32:30.8471884Z 
2022-11-23T01:32:30.8472242Z [2022-11-23 01:29:05,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260
2022-11-23T01:32:30.8472488Z [2022-11-23 01:29:05,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8472799Z [2022-11-23 01:29:05,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8473057Z [2022-11-23 01:29:05,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8473342Z [2022-11-23 01:29:05,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8473662Z [2022-11-23 01:29:05,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8473972Z [2022-11-23 01:29:05,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261
2022-11-23T01:32:30.8474220Z [2022-11-23 01:29:05,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8474557Z [2022-11-23 01:29:05,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8474831Z [2022-11-23 01:29:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8475140Z [2022-11-23 01:29:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8475487Z [2022-11-23 01:29:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8475803Z [2022-11-23 01:29:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262
2022-11-23T01:32:30.8476073Z [2022-11-23 01:29:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8476434Z [2022-11-23 01:29:05,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8476743Z [2022-11-23 01:29:05,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T01:32:30.8477076Z [2022-11-23 01:29:05,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:30.8477449Z [2022-11-23 01:29:05,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8477758Z [2022-11-23 01:29:05,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263
2022-11-23T01:32:30.8478060Z [2022-11-23 01:29:05,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8478443Z [2022-11-23 01:29:05,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8478769Z [2022-11-23 01:29:05,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:30.8479163Z [2022-11-23 01:29:05,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:30.8479565Z [2022-11-23 01:29:05,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8479896Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259
2022-11-23T01:32:30.8480215Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8480462Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8480840Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258>
2022-11-23T01:32:30.8481088Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8481326Z [2022-11-23 01:29:05,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8481589Z [2022-11-23 01:29:05,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8481840Z [2022-11-23 01:29:05,176] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8482027Z [2022-11-23 01:29:05,176] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8482170Z  __compiled_fn_364 <eval_with_key>.2250 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8482266Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8482385Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T01:32:30.8482501Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T01:32:30.8482622Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T01:32:30.8482737Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T01:32:30.8482873Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T01:32:30.8482889Z 
2022-11-23T01:32:30.8483209Z [2022-11-23 01:29:05,176] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8483311Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8483409Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8483504Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8483603Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8483699Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8483794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8483870Z              12 RETURN_VALUE
2022-11-23T01:32:30.8483883Z 
2022-11-23T01:32:30.8483945Z  
2022-11-23T01:32:30.8484265Z [2022-11-23 01:29:05,177] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8484388Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_364)
2022-11-23T01:32:30.8484486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8484585Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8484670Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8484763Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8484868Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8484979Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8485076Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8485161Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8485269Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8485402Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8485486Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8485588Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8485685Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8485795Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.8485902Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8485997Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:30.8486080Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.8486175Z              36 BUILD_TUPLE              4
2022-11-23T01:32:30.8486250Z              38 RETURN_VALUE
2022-11-23T01:32:30.8486262Z 
2022-11-23T01:32:30.8486322Z  
2022-11-23T01:32:30.8486514Z [2022-11-23 01:29:05,177] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8486591Z  - 
2022-11-23T01:32:30.8486716Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8486785Z             {
2022-11-23T01:32:30.8486935Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8487120Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8487244Z                 'obj_weakref': None
2022-11-23T01:32:30.8487474Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8487545Z             }
2022-11-23T01:32:30.8487613Z             
2022-11-23T01:32:30.8487690Z  - 
2022-11-23T01:32:30.8487819Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8487881Z             {
2022-11-23T01:32:30.8488029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8488141Z                 'code': None,
2022-11-23T01:32:30.8488358Z                 'obj_weakref': <weakref at 0x7f1fe03585e0; to 'Tensor' at 0x7f1fe0306070>
2022-11-23T01:32:30.8488612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8488683Z             }
2022-11-23T01:32:30.8488754Z             
2022-11-23T01:32:30.8488823Z  - 
2022-11-23T01:32:30.8488957Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8489027Z             {
2022-11-23T01:32:30.8489167Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8489345Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8489468Z                 'obj_weakref': None
2022-11-23T01:32:30.8489701Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8489771Z             }
2022-11-23T01:32:30.8489833Z             
2022-11-23T01:32:30.8489908Z  - 
2022-11-23T01:32:30.8490038Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8490108Z             {
2022-11-23T01:32:30.8490250Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8490471Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8490586Z                 'obj_weakref': None
2022-11-23T01:32:30.8490814Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8490886Z             }
2022-11-23T01:32:30.8490953Z             
2022-11-23T01:32:30.8491035Z  - 
2022-11-23T01:32:30.8491171Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8491241Z             {
2022-11-23T01:32:30.8491359Z                 'guard_types': None,
2022-11-23T01:32:30.8491472Z                 'code': None,
2022-11-23T01:32:30.8491595Z                 'obj_weakref': None
2022-11-23T01:32:30.8491721Z                 'guarded_class': None
2022-11-23T01:32:30.8491790Z             }
2022-11-23T01:32:30.8491858Z             
2022-11-23T01:32:30.8492124Z [2022-11-23 01:29:05,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354
2022-11-23T01:32:30.8492412Z [2022-11-23 01:29:05,194] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8492726Z [2022-11-23 01:29:05,196] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.8492733Z 
2022-11-23T01:32:30.8492838Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8492937Z import torch
2022-11-23T01:32:30.8493012Z import random
2022-11-23T01:32:30.8493137Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8493266Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8493272Z 
2022-11-23T01:32:30.8493362Z aten = torch.ops.aten
2022-11-23T01:32:30.8493496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8493598Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8493603Z 
2022-11-23T01:32:30.8493678Z import triton
2022-11-23T01:32:30.8493772Z import triton.language as tl
2022-11-23T01:32:30.8493900Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8494044Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8494053Z 
2022-11-23T01:32:30.8494058Z 
2022-11-23T01:32:30.8494232Z triton_fused_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:30.8494307Z import triton
2022-11-23T01:32:30.8494397Z import triton.language as tl
2022-11-23T01:32:30.8494514Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8494618Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8494754Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8494883Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8494888Z 
2022-11-23T01:32:30.8494981Z @reduction(size_hints=[256, 256],
2022-11-23T01:32:30.8495102Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:30.8495189Z               filename=__file__,
2022-11-23T01:32:30.8495528Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.8495604Z @triton.jit
2022-11-23T01:32:30.8495791Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8495868Z     xnumel = 144
2022-11-23T01:32:30.8495947Z     rnumel = 144
2022-11-23T01:32:30.8496049Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8496189Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8496268Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8496391Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8496464Z     x0 = xindex
2022-11-23T01:32:30.8496651Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8496774Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8496905Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8497027Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8497130Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8497221Z         rindex = roffset + rbase
2022-11-23T01:32:30.8497308Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8497382Z         r1 = rindex
2022-11-23T01:32:30.8497610Z         tmp0 = tl.load(in_ptr0 + (x0 + (144*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8497761Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8497893Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8498038Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8498158Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8498257Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8498370Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8498494Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8498630Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8498720Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8499049Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8499188Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:30.8499286Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8499398Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8499521Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8499618Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8499707Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8499835Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8499927Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:30.8500022Z ''')
2022-11-23T01:32:30.8500028Z 
2022-11-23T01:32:30.8500033Z 
2022-11-23T01:32:30.8500214Z triton_fused_argmin_1_argmax_11 = async_compile.triton('''
2022-11-23T01:32:30.8500294Z import triton
2022-11-23T01:32:30.8500394Z import triton.language as tl
2022-11-23T01:32:30.8500513Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8500618Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8500753Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8500878Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8500884Z 
2022-11-23T01:32:30.8500977Z @reduction(size_hints=[256, 256],
2022-11-23T01:32:30.8501096Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8501186Z               filename=__file__,
2022-11-23T01:32:30.8501530Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.8501604Z @triton.jit
2022-11-23T01:32:30.8501789Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8501867Z     xnumel = 144
2022-11-23T01:32:30.8501935Z     rnumel = 144
2022-11-23T01:32:30.8502036Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8502179Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8502268Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8502392Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8502465Z     x0 = xindex
2022-11-23T01:32:30.8502650Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8502762Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8502891Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8503008Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8503116Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8503208Z         rindex = roffset + rbase
2022-11-23T01:32:30.8503295Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8503369Z         r1 = rindex
2022-11-23T01:32:30.8503588Z         tmp0 = tl.load(in_ptr0 + (r1 + (144*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:30.8503737Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8503873Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8504015Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8504146Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8504244Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8504357Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8504482Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8504572Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8504660Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8504790Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8504956Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:30.8505054Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8505167Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8505313Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8505402Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8505490Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8505617Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8505716Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:30.8505809Z ''')
2022-11-23T01:32:30.8505814Z 
2022-11-23T01:32:30.8505819Z 
2022-11-23T01:32:30.8505915Z async_compile.wait(globals())
2022-11-23T01:32:30.8505996Z del async_compile
2022-11-23T01:32:30.8506001Z 
2022-11-23T01:32:30.8506078Z def call(args):
2022-11-23T01:32:30.8506147Z     arg0_1, = args
2022-11-23T01:32:30.8506225Z     args.clear()
2022-11-23T01:32:30.8506429Z     buf0 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8506625Z     buf1 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8506717Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8506886Z     triton_fused_argmin_argmax0.run(arg0_1, buf0, buf1, 144, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:30.8507080Z     buf2 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8507262Z     buf3 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8507425Z     triton_fused_argmin_1_argmax_11.run(arg0_1, buf2, buf3, 144, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:30.8507501Z     del arg0_1
2022-11-23T01:32:30.8507595Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.8507601Z 
2022-11-23T01:32:30.8507606Z 
2022-11-23T01:32:30.8507689Z if __name__ == "__main__":
2022-11-23T01:32:30.8507811Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8507947Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8508156Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8508264Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8508273Z 
2022-11-23T01:32:30.8508646Z [2022-11-23 01:29:06,778] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4qtculzltopijts5kawalxzwvarkcxvwugm4viggkbz474pzhn.py
2022-11-23T01:32:30.8508915Z [2022-11-23 01:29:06,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354
2022-11-23T01:32:30.8508921Z 
2022-11-23T01:32:30.8509022Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8509100Z import torch
2022-11-23T01:32:30.8509176Z import random
2022-11-23T01:32:30.8509298Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8509424Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8509429Z 
2022-11-23T01:32:30.8509505Z aten = torch.ops.aten
2022-11-23T01:32:30.8509650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8509748Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8509754Z 
2022-11-23T01:32:30.8509830Z import triton
2022-11-23T01:32:30.8509927Z import triton.language as tl
2022-11-23T01:32:30.8510055Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8510198Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8510204Z 
2022-11-23T01:32:30.8510208Z 
2022-11-23T01:32:30.8510460Z triton_fused_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:30.8510545Z import triton
2022-11-23T01:32:30.8510639Z import triton.language as tl
2022-11-23T01:32:30.8510757Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8510862Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8510997Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8511124Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8511129Z 
2022-11-23T01:32:30.8511255Z @reduction(size_hints=[256, 256],
2022-11-23T01:32:30.8511377Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:30.8511456Z               filename=__file__,
2022-11-23T01:32:30.8511820Z               meta={'signature': {0: '*fp16', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.8511896Z @triton.jit
2022-11-23T01:32:30.8512080Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8512156Z     xnumel = 144
2022-11-23T01:32:30.8512229Z     rnumel = 144
2022-11-23T01:32:30.8512329Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8512461Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8512546Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8512669Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8512745Z     x0 = xindex
2022-11-23T01:32:30.8512932Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8513050Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8513182Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8513292Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8513401Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8513491Z         rindex = roffset + rbase
2022-11-23T01:32:30.8513579Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8513656Z         r1 = rindex
2022-11-23T01:32:30.8513904Z         tmp0 = tl.load(in_ptr0 + (x0 + (144*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8514049Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8514180Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8514317Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8514445Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8514543Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8514659Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8514783Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8514880Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8514968Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8515089Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8515188Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:30.8515285Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8515397Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8515521Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8515618Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8515710Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8515831Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8515932Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:30.8516021Z ''')
2022-11-23T01:32:30.8516027Z 
2022-11-23T01:32:30.8516032Z 
2022-11-23T01:32:30.8516216Z triton_fused_argmax_1_argmin_11 = async_compile.triton('''
2022-11-23T01:32:30.8516293Z import triton
2022-11-23T01:32:30.8516388Z import triton.language as tl
2022-11-23T01:32:30.8516503Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8516606Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8516733Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:30.8516861Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8516867Z 
2022-11-23T01:32:30.8516960Z @reduction(size_hints=[256, 256],
2022-11-23T01:32:30.8517078Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:30.8517165Z               filename=__file__,
2022-11-23T01:32:30.8517589Z               meta={'signature': {0: '*fp16', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:30.8517687Z @triton.jit
2022-11-23T01:32:30.8517870Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:30.8517939Z     xnumel = 144
2022-11-23T01:32:30.8518015Z     rnumel = 144
2022-11-23T01:32:30.8518118Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8518257Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:30.8518342Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8518463Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:30.8518536Z     x0 = xindex
2022-11-23T01:32:30.8518714Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:30.8518835Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8518966Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:30.8519088Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:30.8519200Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:30.8519295Z         rindex = roffset + rbase
2022-11-23T01:32:30.8519382Z         rmask = rindex < rnumel
2022-11-23T01:32:30.8519447Z         r1 = rindex
2022-11-23T01:32:30.8519692Z         tmp0 = tl.load(in_ptr0 + (r1 + (144*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:30.8519839Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:30.8519970Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:30.8520112Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:30.8520239Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:30.8520338Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:30.8520451Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8520567Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8520667Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:30.8520755Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8520883Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8520982Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:30.8521078Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:30.8521188Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:30.8521302Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:30.8521398Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:30.8521487Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:30.8521612Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:30.8521715Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:30.8521802Z ''')
2022-11-23T01:32:30.8521808Z 
2022-11-23T01:32:30.8521812Z 
2022-11-23T01:32:30.8521907Z async_compile.wait(globals())
2022-11-23T01:32:30.8521978Z del async_compile
2022-11-23T01:32:30.8521993Z 
2022-11-23T01:32:30.8522062Z def call(args):
2022-11-23T01:32:30.8522138Z     arg0_1, = args
2022-11-23T01:32:30.8522213Z     args.clear()
2022-11-23T01:32:30.8522409Z     buf0 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8522602Z     buf1 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8522694Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8522857Z     triton_fused_argmin_argmax0.run(arg0_1, buf0, buf1, 144, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:30.8523044Z     buf2 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8523236Z     buf3 = empty_strided((144, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.8523427Z     triton_fused_argmax_1_argmin_11.run(arg0_1, buf2, buf3, 144, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:30.8523503Z     del arg0_1
2022-11-23T01:32:30.8523597Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.8523624Z 
2022-11-23T01:32:30.8523628Z 
2022-11-23T01:32:30.8523713Z if __name__ == "__main__":
2022-11-23T01:32:30.8523835Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8523966Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8524169Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8524288Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8524293Z 
2022-11-23T01:32:30.8524366Z ok (3.132s)
2022-11-23T01:32:30.8524493Z   test_argmax_argmin3_cuda (__main__.CudaTests) ... skip: 
2022-11-23T01:32:30.8524660Z         FIXME: In the case of having equally max/min elements, our implementation returns
2022-11-23T01:32:30.8524772Z         the last index instead of the first one
2022-11-23T01:32:30.8524848Z          (0.001s)
2022-11-23T01:32:30.8525165Z   test_as_strided_cuda (__main__.CudaTests) ... [2022-11-23 01:29:06,784] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8525479Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8525704Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8525963Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8526243Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8526564Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8526908Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8527232Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8527601Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605> 
2022-11-23T01:32:30.8527703Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8527812Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:30.8527904Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8528008Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:30.8528112Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:30.8528215Z               10 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8528311Z               12 CALL_METHOD              4
2022-11-23T01:32:30.8528316Z 
2022-11-23T01:32:30.8528417Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8528527Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:30.8528616Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8528712Z               20 LOAD_CONST               4 (1)
2022-11-23T01:32:30.8528791Z               22 BINARY_ADD
2022-11-23T01:32:30.8528893Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:30.8528999Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:30.8529095Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8529189Z               30 CALL_METHOD              4
2022-11-23T01:32:30.8529283Z               32 LOAD_CONST               5 (2)
2022-11-23T01:32:30.8529355Z               34 BINARY_ADD
2022-11-23T01:32:30.8529360Z 
2022-11-23T01:32:30.8529482Z 3606          36 BUILD_TUPLE              2
2022-11-23T01:32:30.8529566Z               38 RETURN_VALUE
2022-11-23T01:32:30.8529634Z  
2022-11-23T01:32:30.8529639Z 
2022-11-23T01:32:30.8529979Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607
2022-11-23T01:32:30.8530203Z [2022-11-23 01:29:06,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8530517Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8530778Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T01:32:30.8531064Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8531401Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.8531771Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:30.8532185Z [2022-11-23 01:29:06,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:30.8532504Z [2022-11-23 01:29:06,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608
2022-11-23T01:32:30.8532754Z [2022-11-23 01:29:06,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8533101Z [2022-11-23 01:29:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8533390Z [2022-11-23 01:29:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T01:32:30.8533710Z [2022-11-23 01:29:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8534071Z [2022-11-23 01:29:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8534396Z [2022-11-23 01:29:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8534763Z [2022-11-23 01:29:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.8535158Z [2022-11-23 01:29:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:30.8535592Z [2022-11-23 01:29:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:30.8535861Z [2022-11-23 01:29:06,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8536172Z [2022-11-23 01:29:06,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8536516Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606
2022-11-23T01:32:30.8536791Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8537068Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8537449Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605>
2022-11-23T01:32:30.8537699Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8537939Z [2022-11-23 01:29:06,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8538203Z [2022-11-23 01:29:06,802] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8538453Z [2022-11-23 01:29:06,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8538653Z [2022-11-23 01:29:06,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8538985Z  __compiled_fn_365 <eval_with_key>.2256 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8539085Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8539230Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:30.8539412Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.8539557Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:30.8539750Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T01:32:30.8539861Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T01:32:30.8539874Z 
2022-11-23T01:32:30.8540201Z [2022-11-23 01:29:06,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8540302Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8540399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8540498Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8540599Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8540692Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8540787Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8540862Z              12 RETURN_VALUE
2022-11-23T01:32:30.8540867Z 
2022-11-23T01:32:30.8540933Z  
2022-11-23T01:32:30.8541264Z [2022-11-23 01:29:06,807] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8541383Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_365)
2022-11-23T01:32:30.8541481Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8541580Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8541668Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8541761Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8541866Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8541979Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8542074Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8542157Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8542266Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8542363Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8542444Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8542530Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8542613Z              26 RETURN_VALUE
2022-11-23T01:32:30.8542618Z 
2022-11-23T01:32:30.8542684Z  
2022-11-23T01:32:30.8542874Z [2022-11-23 01:29:06,808] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8542951Z  - 
2022-11-23T01:32:30.8543138Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8543210Z             {
2022-11-23T01:32:30.8543351Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8543545Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8543701Z                 'obj_weakref': None
2022-11-23T01:32:30.8543936Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8544006Z             }
2022-11-23T01:32:30.8544075Z             
2022-11-23T01:32:30.8544152Z  - 
2022-11-23T01:32:30.8544273Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8544343Z             {
2022-11-23T01:32:30.8544491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8544604Z                 'code': None,
2022-11-23T01:32:30.8544820Z                 'obj_weakref': <weakref at 0x7f1fe81dd580; to 'Tensor' at 0x7f2151f00130>
2022-11-23T01:32:30.8545076Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8545146Z             }
2022-11-23T01:32:30.8545208Z             
2022-11-23T01:32:30.8545284Z  - 
2022-11-23T01:32:30.8545423Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8545492Z             {
2022-11-23T01:32:30.8545632Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8545807Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8545930Z                 'obj_weakref': None
2022-11-23T01:32:30.8546154Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8546223Z             }
2022-11-23T01:32:30.8546291Z             
2022-11-23T01:32:30.8546367Z  - 
2022-11-23T01:32:30.8546492Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8546561Z             {
2022-11-23T01:32:30.8546702Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8546916Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8547043Z                 'obj_weakref': None
2022-11-23T01:32:30.8547272Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8547344Z             }
2022-11-23T01:32:30.8547412Z             
2022-11-23T01:32:30.8547490Z  - 
2022-11-23T01:32:30.8547624Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8547686Z             {
2022-11-23T01:32:30.8547812Z                 'guard_types': None,
2022-11-23T01:32:30.8547924Z                 'code': None,
2022-11-23T01:32:30.8548046Z                 'obj_weakref': None
2022-11-23T01:32:30.8548173Z                 'guarded_class': None
2022-11-23T01:32:30.8548242Z             }
2022-11-23T01:32:30.8548311Z             
2022-11-23T01:32:30.8548567Z [2022-11-23 01:29:06,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355
2022-11-23T01:32:30.8548863Z [2022-11-23 01:29:06,825] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8549228Z [2022-11-23 01:29:06,891] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fz/cfzh6btx5njes6k2bnd7h4ahfv2ekfykwwncclhx3tuwtg4wqtcv.py
2022-11-23T01:32:30.8549500Z [2022-11-23 01:29:06,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355
2022-11-23T01:32:30.8549741Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8550058Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8550350Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8550685Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8550970Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8551287Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8551661Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8551989Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8552359Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605> 
2022-11-23T01:32:30.8552462Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8552577Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:30.8552677Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8552780Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:30.8552890Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:30.8552980Z               10 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8553077Z               12 CALL_METHOD              4
2022-11-23T01:32:30.8553083Z 
2022-11-23T01:32:30.8553187Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8553295Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:30.8553397Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8553497Z               20 LOAD_CONST               4 (1)
2022-11-23T01:32:30.8553578Z               22 BINARY_ADD
2022-11-23T01:32:30.8553681Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:30.8553781Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:30.8553879Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8553975Z               30 CALL_METHOD              4
2022-11-23T01:32:30.8554077Z               32 LOAD_CONST               5 (2)
2022-11-23T01:32:30.8554154Z               34 BINARY_ADD
2022-11-23T01:32:30.8554160Z 
2022-11-23T01:32:30.8554254Z 3606          36 BUILD_TUPLE              2
2022-11-23T01:32:30.8554337Z               38 RETURN_VALUE
2022-11-23T01:32:30.8554397Z  
2022-11-23T01:32:30.8554402Z 
2022-11-23T01:32:30.8554720Z [2022-11-23 01:29:06,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607
2022-11-23T01:32:30.8554940Z [2022-11-23 01:29:06,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8555256Z [2022-11-23 01:29:06,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8555516Z [2022-11-23 01:29:06,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T01:32:30.8555811Z [2022-11-23 01:29:06,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8556154Z [2022-11-23 01:29:06,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.8556519Z [2022-11-23 01:29:06,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:30.8556924Z [2022-11-23 01:29:06,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:30.8557268Z [2022-11-23 01:29:06,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608
2022-11-23T01:32:30.8557516Z [2022-11-23 01:29:06,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.8557869Z [2022-11-23 01:29:06,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8558154Z [2022-11-23 01:29:06,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T01:32:30.8558472Z [2022-11-23 01:29:06,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8558829Z [2022-11-23 01:29:06,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8559155Z [2022-11-23 01:29:06,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:30.8559531Z [2022-11-23 01:29:06,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:30.8559931Z [2022-11-23 01:29:06,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:30.8560371Z [2022-11-23 01:29:06,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:30.8560642Z [2022-11-23 01:29:06,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8560954Z [2022-11-23 01:29:06,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8561274Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606
2022-11-23T01:32:30.8561548Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8561790Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8562174Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e885b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605>
2022-11-23T01:32:30.8562430Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.8562673Z [2022-11-23 01:29:06,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8562935Z [2022-11-23 01:29:06,913] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8563195Z [2022-11-23 01:29:06,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8563389Z [2022-11-23 01:29:06,916] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8563533Z  __compiled_fn_366 <eval_with_key>.2262 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8563629Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8563765Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:30.8563943Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.8564117Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:30.8564312Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T01:32:30.8564432Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T01:32:30.8564459Z 
2022-11-23T01:32:30.8564791Z [2022-11-23 01:29:06,917] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8564892Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8564989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8565076Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8565177Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8565271Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8565366Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8565448Z              12 RETURN_VALUE
2022-11-23T01:32:30.8565454Z 
2022-11-23T01:32:30.8565518Z  
2022-11-23T01:32:30.8565852Z [2022-11-23 01:29:06,917] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8565970Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_366)
2022-11-23T01:32:30.8566064Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8566163Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8566247Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8566340Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8566454Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.8566563Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8566659Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8566734Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.8566843Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.8566938Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8567022Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.8567116Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.8567197Z              26 RETURN_VALUE
2022-11-23T01:32:30.8567202Z 
2022-11-23T01:32:30.8567271Z  
2022-11-23T01:32:30.8567454Z [2022-11-23 01:29:06,917] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8567531Z  - 
2022-11-23T01:32:30.8567658Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8567727Z             {
2022-11-23T01:32:30.8567874Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8568066Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8568191Z                 'obj_weakref': None
2022-11-23T01:32:30.8568421Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8568484Z             }
2022-11-23T01:32:30.8568552Z             
2022-11-23T01:32:30.8568628Z  - 
2022-11-23T01:32:30.8568757Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8568828Z             {
2022-11-23T01:32:30.8568975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8569080Z                 'code': None,
2022-11-23T01:32:30.8569299Z                 'obj_weakref': <weakref at 0x7f1fe036a9d0; to 'Tensor' at 0x7f1fe0305e90>
2022-11-23T01:32:30.8569552Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8569621Z             }
2022-11-23T01:32:30.8569690Z             
2022-11-23T01:32:30.8569769Z  - 
2022-11-23T01:32:30.8569907Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8569968Z             {
2022-11-23T01:32:30.8570108Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8570284Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8570408Z                 'obj_weakref': None
2022-11-23T01:32:30.8570670Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8570741Z             }
2022-11-23T01:32:30.8570809Z             
2022-11-23T01:32:30.8570878Z  - 
2022-11-23T01:32:30.8571006Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8571097Z             {
2022-11-23T01:32:30.8571241Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8571459Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8571582Z                 'obj_weakref': None
2022-11-23T01:32:30.8571806Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8571876Z             }
2022-11-23T01:32:30.8571937Z             
2022-11-23T01:32:30.8572013Z  - 
2022-11-23T01:32:30.8572156Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8572242Z             {
2022-11-23T01:32:30.8572380Z                 'guard_types': None,
2022-11-23T01:32:30.8572507Z                 'code': None,
2022-11-23T01:32:30.8572624Z                 'obj_weakref': None
2022-11-23T01:32:30.8572750Z                 'guarded_class': None
2022-11-23T01:32:30.8572822Z             }
2022-11-23T01:32:30.8572892Z             
2022-11-23T01:32:30.8573158Z [2022-11-23 01:29:06,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356
2022-11-23T01:32:30.8573450Z [2022-11-23 01:29:06,930] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8573813Z [2022-11-23 01:29:06,997] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r4/cr4ki4ptci5inj6t6ikkv5iizglujxpfuwj4p6nrkqs6e4prvzlo.py
2022-11-23T01:32:30.8574081Z [2022-11-23 01:29:06,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356
2022-11-23T01:32:30.8574087Z 
2022-11-23T01:32:30.8574180Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8574255Z import torch
2022-11-23T01:32:30.8574330Z import random
2022-11-23T01:32:30.8574455Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8574582Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8574588Z 
2022-11-23T01:32:30.8574674Z aten = torch.ops.aten
2022-11-23T01:32:30.8574822Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8574920Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8574925Z 
2022-11-23T01:32:30.8574993Z import triton
2022-11-23T01:32:30.8575087Z import triton.language as tl
2022-11-23T01:32:30.8575215Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8575360Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8575365Z 
2022-11-23T01:32:30.8575370Z 
2022-11-23T01:32:30.8575556Z triton_fused_add_as_strided_1_add_10 = async_compile.triton('''
2022-11-23T01:32:30.8575632Z import triton
2022-11-23T01:32:30.8575726Z import triton.language as tl
2022-11-23T01:32:30.8575843Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8575942Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8576081Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8576210Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8576218Z 
2022-11-23T01:32:30.8576594Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8576670Z @triton.jit
2022-11-23T01:32:30.8576810Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8576889Z     xnumel = 4096
2022-11-23T01:32:30.8576981Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8577113Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8577198Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8577269Z     x0 = xindex
2022-11-23T01:32:30.8577370Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8577473Z     tmp1 = 1
2022-11-23T01:32:30.8577557Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.8577621Z     tmp3 = 2
2022-11-23T01:32:30.8577702Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.8577845Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8577955Z ''')
2022-11-23T01:32:30.8577960Z 
2022-11-23T01:32:30.8577965Z 
2022-11-23T01:32:30.8578059Z async_compile.wait(globals())
2022-11-23T01:32:30.8578139Z del async_compile
2022-11-23T01:32:30.8578144Z 
2022-11-23T01:32:30.8578219Z def call(args):
2022-11-23T01:32:30.8578295Z     arg0_1, = args
2022-11-23T01:32:30.8578364Z     args.clear()
2022-11-23T01:32:30.8578567Z     buf0 = empty_strided((64, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8578691Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T01:32:30.8578970Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8579136Z     triton_fused_add_as_strided_1_add_10.run(buf1, arg0_1, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:30.8579253Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T01:32:30.8579259Z 
2022-11-23T01:32:30.8579264Z 
2022-11-23T01:32:30.8579352Z if __name__ == "__main__":
2022-11-23T01:32:30.8579472Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8579594Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8579803Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8579918Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8579924Z 
2022-11-23T01:32:30.8579928Z 
2022-11-23T01:32:30.8580029Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8580104Z import torch
2022-11-23T01:32:30.8580179Z import random
2022-11-23T01:32:30.8580301Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8580420Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8580433Z 
2022-11-23T01:32:30.8580512Z aten = torch.ops.aten
2022-11-23T01:32:30.8580652Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8580751Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8580756Z 
2022-11-23T01:32:30.8580835Z import triton
2022-11-23T01:32:30.8580927Z import triton.language as tl
2022-11-23T01:32:30.8581054Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8581198Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8581203Z 
2022-11-23T01:32:30.8581208Z 
2022-11-23T01:32:30.8581392Z triton_fused_add_add_1_as_strided_10 = async_compile.triton('''
2022-11-23T01:32:30.8581461Z import triton
2022-11-23T01:32:30.8581554Z import triton.language as tl
2022-11-23T01:32:30.8581676Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8581779Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8581915Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8582044Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8582050Z 
2022-11-23T01:32:30.8582428Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8582505Z @triton.jit
2022-11-23T01:32:30.8582636Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8582711Z     xnumel = 4096
2022-11-23T01:32:30.8582812Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8582943Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8583029Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8583102Z     x0 = xindex
2022-11-23T01:32:30.8583222Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8583287Z     tmp1 = 1
2022-11-23T01:32:30.8583367Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.8583438Z     tmp3 = 2
2022-11-23T01:32:30.8583516Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.8583723Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8583814Z ''')
2022-11-23T01:32:30.8583819Z 
2022-11-23T01:32:30.8583823Z 
2022-11-23T01:32:30.8583947Z async_compile.wait(globals())
2022-11-23T01:32:30.8584018Z del async_compile
2022-11-23T01:32:30.8584023Z 
2022-11-23T01:32:30.8584098Z def call(args):
2022-11-23T01:32:30.8584172Z     arg0_1, = args
2022-11-23T01:32:30.8584249Z     args.clear()
2022-11-23T01:32:30.8584451Z     buf0 = empty_strided((64, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8584575Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T01:32:30.8584666Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8584817Z     triton_fused_add_add_1_as_strided_10.run(buf1, arg0_1, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:30.8584932Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T01:32:30.8584938Z 
2022-11-23T01:32:30.8584942Z 
2022-11-23T01:32:30.8585028Z if __name__ == "__main__":
2022-11-23T01:32:30.8585149Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8585278Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8585486Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8585599Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8585604Z 
2022-11-23T01:32:30.8585676Z ok (0.217s)
2022-11-23T01:32:30.8586003Z   test_as_strided_scatter_cuda (__main__.CudaTests) ... [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8586312Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8586534Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8586795Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8587077Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8587399Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8587741Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8588060Z [2022-11-23 01:29:07,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8588430Z [2022-11-23 01:29:07,003] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614> 
2022-11-23T01:32:30.8588536Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8588654Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T01:32:30.8588659Z 
2022-11-23T01:32:30.8588754Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8588851Z                6 LOAD_CONST               1 (8)
2022-11-23T01:32:30.8588937Z                8 BINARY_MULTIPLY
2022-11-23T01:32:30.8589036Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:30.8589116Z               12 BINARY_ADD
2022-11-23T01:32:30.8589121Z 
2022-11-23T01:32:30.8589218Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.8589313Z               16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8589393Z               18 BINARY_MULTIPLY
2022-11-23T01:32:30.8589488Z               20 LOAD_CONST               4 (4)
2022-11-23T01:32:30.8589573Z               22 BINARY_SUBTRACT
2022-11-23T01:32:30.8589578Z 
2022-11-23T01:32:30.8589711Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8589818Z               26 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8589912Z               28 LOAD_CONST               5 (0)
2022-11-23T01:32:30.8589995Z               30 BINARY_SUBSCR
2022-11-23T01:32:30.8590114Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8590207Z               34 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8590370Z               36 LOAD_CONST               6 (1)
2022-11-23T01:32:30.8590467Z               38 BINARY_SUBSCR
2022-11-23T01:32:30.8590577Z               40 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8590679Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:30.8590774Z               44 BUILD_TUPLE              2
2022-11-23T01:32:30.8590779Z 
2022-11-23T01:32:30.8590871Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8590963Z               48 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8591056Z               50 LOAD_CONST               6 (1)
2022-11-23T01:32:30.8591140Z               52 BINARY_SUBSCR
2022-11-23T01:32:30.8591232Z               54 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8591326Z               56 BUILD_TUPLE              2
2022-11-23T01:32:30.8591334Z 
2022-11-23T01:32:30.8591427Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T01:32:30.8591432Z 
2022-11-23T01:32:30.8591633Z 3615          60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T01:32:30.8591731Z               62 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8591805Z               64 RETURN_VALUE
2022-11-23T01:32:30.8591871Z  
2022-11-23T01:32:30.8591876Z 
2022-11-23T01:32:30.8592192Z [2022-11-23 01:29:07,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:30.8592411Z [2022-11-23 01:29:07,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8592739Z [2022-11-23 01:29:07,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8593051Z [2022-11-23 01:29:07,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616
2022-11-23T01:32:30.8593324Z [2022-11-23 01:29:07,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T01:32:30.8593623Z [2022-11-23 01:29:07,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8593972Z [2022-11-23 01:29:07,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8594272Z [2022-11-23 01:29:07,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8594605Z [2022-11-23 01:29:07,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8594918Z [2022-11-23 01:29:07,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617
2022-11-23T01:32:30.8595222Z [2022-11-23 01:29:07,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8595550Z [2022-11-23 01:29:07,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8595931Z [2022-11-23 01:29:07,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8596290Z [2022-11-23 01:29:07,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8596667Z [2022-11-23 01:29:07,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8597001Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618
2022-11-23T01:32:30.8597326Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8597688Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8598038Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T01:32:30.8598432Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8598789Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8599170Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.8599552Z [2022-11-23 01:29:07,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T01:32:30.8599983Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8600379Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8600828Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8601223Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8601537Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619
2022-11-23T01:32:30.8601884Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.8602266Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:30.8602635Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T01:32:30.8603089Z [2022-11-23 01:29:07,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8603477Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8603949Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8604265Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620
2022-11-23T01:32:30.8604641Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:30.8604950Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:30.8605415Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8605883Z [2022-11-23 01:29:07,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.8606136Z [2022-11-23 01:29:07,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8606517Z [2022-11-23 01:29:07,017] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614>
2022-11-23T01:32:30.8606773Z [2022-11-23 01:29:07,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8607012Z [2022-11-23 01:29:07,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8607272Z [2022-11-23 01:29:07,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8607528Z [2022-11-23 01:29:07,022] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8607723Z [2022-11-23 01:29:07,022] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8607864Z  __compiled_fn_367 <eval_with_key>.2268 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8607952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8608045Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.8608221Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T01:32:30.8608399Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T01:32:30.8608578Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:30.8608752Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T01:32:30.8609039Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T01:32:30.8609165Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T01:32:30.8609172Z 
2022-11-23T01:32:30.8609495Z [2022-11-23 01:29:07,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8609599Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8609696Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8609789Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8609893Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8610013Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8610110Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8610184Z              12 RETURN_VALUE
2022-11-23T01:32:30.8610196Z 
2022-11-23T01:32:30.8610278Z  
2022-11-23T01:32:30.8610604Z [2022-11-23 01:29:07,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8610721Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_367)
2022-11-23T01:32:30.8610818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8610914Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8610996Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8611090Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8611176Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8611258Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.8611353Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.8611451Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8611531Z              18 RETURN_VALUE
2022-11-23T01:32:30.8611536Z 
2022-11-23T01:32:30.8611602Z  
2022-11-23T01:32:30.8611818Z [2022-11-23 01:29:07,023] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8611905Z  - 
2022-11-23T01:32:30.8612039Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8612108Z             {
2022-11-23T01:32:30.8612254Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8612448Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.8612573Z                 'obj_weakref': None
2022-11-23T01:32:30.8612803Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8612865Z             }
2022-11-23T01:32:30.8612933Z             
2022-11-23T01:32:30.8613008Z  - 
2022-11-23T01:32:30.8613135Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8613203Z             {
2022-11-23T01:32:30.8613353Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8613528Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8613739Z                 'obj_weakref': <weakref at 0x7f1fe03c0180; to 'Tensor' at 0x7f1fe036ad90>
2022-11-23T01:32:30.8613997Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8614065Z             }
2022-11-23T01:32:30.8614133Z             
2022-11-23T01:32:30.8614207Z  - 
2022-11-23T01:32:30.8614337Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8614405Z             {
2022-11-23T01:32:30.8614546Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8614658Z                 'code': None,
2022-11-23T01:32:30.8614874Z                 'obj_weakref': <weakref at 0x7f1fe03c0180; to 'Tensor' at 0x7f1fe036ad90>
2022-11-23T01:32:30.8615131Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8615200Z             }
2022-11-23T01:32:30.8615268Z             
2022-11-23T01:32:30.8615344Z  - 
2022-11-23T01:32:30.8615464Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.8615537Z             {
2022-11-23T01:32:30.8615685Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8615797Z                 'code': None,
2022-11-23T01:32:30.8616017Z                 'obj_weakref': <weakref at 0x7f1fe03c06d0; to 'Tensor' at 0x7f1fe036b6a0>
2022-11-23T01:32:30.8616269Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8616337Z             }
2022-11-23T01:32:30.8616406Z             
2022-11-23T01:32:30.8616474Z  - 
2022-11-23T01:32:30.8616608Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8616676Z             {
2022-11-23T01:32:30.8616817Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8617020Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8617147Z                 'obj_weakref': None
2022-11-23T01:32:30.8617376Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8617461Z             }
2022-11-23T01:32:30.8617528Z             
2022-11-23T01:32:30.8617603Z  - 
2022-11-23T01:32:30.8617731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8617800Z             {
2022-11-23T01:32:30.8617938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8618148Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8618270Z                 'obj_weakref': None
2022-11-23T01:32:30.8618496Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8618564Z             }
2022-11-23T01:32:30.8618632Z             
2022-11-23T01:32:30.8618706Z  - 
2022-11-23T01:32:30.8619033Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8619096Z             {
2022-11-23T01:32:30.8619223Z                 'guard_types': None,
2022-11-23T01:32:30.8619334Z                 'code': None,
2022-11-23T01:32:30.8619457Z                 'obj_weakref': None
2022-11-23T01:32:30.8619590Z                 'guarded_class': None
2022-11-23T01:32:30.8619658Z             }
2022-11-23T01:32:30.8619726Z             
2022-11-23T01:32:30.8619980Z [2022-11-23 01:29:07,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357
2022-11-23T01:32:30.8620229Z [2022-11-23 01:29:07,041] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8620475Z [2022-11-23 01:29:07,043] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8620840Z [2022-11-23 01:29:07,114] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l5/cl5dcem3bzunxptioxrwpex3mipjfzl6hqkcdv2litklglcy3ovs.py
2022-11-23T01:32:30.8621109Z [2022-11-23 01:29:07,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357
2022-11-23T01:32:30.8621346Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8621661Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8621882Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8622134Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8622412Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8622721Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8623064Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8623384Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8623751Z [2022-11-23 01:29:07,118] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614> 
2022-11-23T01:32:30.8623856Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8623975Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T01:32:30.8623981Z 
2022-11-23T01:32:30.8624082Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8624178Z                6 LOAD_CONST               1 (8)
2022-11-23T01:32:30.8624265Z                8 BINARY_MULTIPLY
2022-11-23T01:32:30.8624408Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:30.8624490Z               12 BINARY_ADD
2022-11-23T01:32:30.8624495Z 
2022-11-23T01:32:30.8624591Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.8624712Z               16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8624798Z               18 BINARY_MULTIPLY
2022-11-23T01:32:30.8624895Z               20 LOAD_CONST               4 (4)
2022-11-23T01:32:30.8624979Z               22 BINARY_SUBTRACT
2022-11-23T01:32:30.8624984Z 
2022-11-23T01:32:30.8625069Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8625170Z               26 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8625264Z               28 LOAD_CONST               5 (0)
2022-11-23T01:32:30.8625348Z               30 BINARY_SUBSCR
2022-11-23T01:32:30.8625443Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8625541Z               34 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8625637Z               36 LOAD_CONST               6 (1)
2022-11-23T01:32:30.8625718Z               38 BINARY_SUBSCR
2022-11-23T01:32:30.8625805Z               40 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8625898Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:30.8625993Z               44 BUILD_TUPLE              2
2022-11-23T01:32:30.8625998Z 
2022-11-23T01:32:30.8626089Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T01:32:30.8626188Z               48 LOAD_ATTR                2 (shape)
2022-11-23T01:32:30.8626281Z               50 LOAD_CONST               6 (1)
2022-11-23T01:32:30.8626363Z               52 BINARY_SUBSCR
2022-11-23T01:32:30.8626448Z               54 LOAD_CONST               3 (2)
2022-11-23T01:32:30.8626545Z               56 BUILD_TUPLE              2
2022-11-23T01:32:30.8626549Z 
2022-11-23T01:32:30.8626640Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T01:32:30.8626645Z 
2022-11-23T01:32:30.8626847Z 3615          60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T01:32:30.8626945Z               62 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8627026Z               64 RETURN_VALUE
2022-11-23T01:32:30.8627092Z  
2022-11-23T01:32:30.8627101Z 
2022-11-23T01:32:30.8627417Z [2022-11-23 01:29:07,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:30.8627632Z [2022-11-23 01:29:07,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8627956Z [2022-11-23 01:29:07,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8628270Z [2022-11-23 01:29:07,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616
2022-11-23T01:32:30.8628541Z [2022-11-23 01:29:07,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T01:32:30.8628841Z [2022-11-23 01:29:07,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8629195Z [2022-11-23 01:29:07,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8629494Z [2022-11-23 01:29:07,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8629830Z [2022-11-23 01:29:07,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8630138Z [2022-11-23 01:29:07,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617
2022-11-23T01:32:30.8630559Z [2022-11-23 01:29:07,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:30.8630909Z [2022-11-23 01:29:07,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8631316Z [2022-11-23 01:29:07,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8631639Z [2022-11-23 01:29:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8632068Z [2022-11-23 01:29:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8632384Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618
2022-11-23T01:32:30.8632714Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8633075Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.8633425Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T01:32:30.8633824Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8634185Z [2022-11-23 01:29:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8634571Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:30.8634954Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T01:32:30.8635379Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8635772Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8636215Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8636617Z [2022-11-23 01:29:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8636921Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619
2022-11-23T01:32:30.8637263Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:30.8637678Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:30.8638050Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T01:32:30.8638495Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8638874Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8639297Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8639608Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620
2022-11-23T01:32:30.8639979Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:30.8640286Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:32:30.8640749Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8641206Z [2022-11-23 01:29:07,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.8641456Z [2022-11-23 01:29:07,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8641830Z [2022-11-23 01:29:07,131] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614>
2022-11-23T01:32:30.8642077Z [2022-11-23 01:29:07,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8642306Z [2022-11-23 01:29:07,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8642562Z [2022-11-23 01:29:07,132] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8642820Z [2022-11-23 01:29:07,137] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8643014Z [2022-11-23 01:29:07,137] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8643159Z  __compiled_fn_368 <eval_with_key>.2274 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8643255Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8643348Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.8643523Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T01:32:30.8643690Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T01:32:30.8643868Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:30.8644040Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T01:32:30.8644320Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T01:32:30.8644470Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T01:32:30.8644478Z 
2022-11-23T01:32:30.8644802Z [2022-11-23 01:29:07,137] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8644927Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8645024Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8645112Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8645211Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8645304Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8645398Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8645480Z              12 RETURN_VALUE
2022-11-23T01:32:30.8645485Z 
2022-11-23T01:32:30.8645550Z  
2022-11-23T01:32:30.8645872Z [2022-11-23 01:29:07,137] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8645994Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_368)
2022-11-23T01:32:30.8646083Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8646180Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8646265Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8646359Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8646453Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.8646534Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.8646627Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.8646716Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8646797Z              18 RETURN_VALUE
2022-11-23T01:32:30.8646802Z 
2022-11-23T01:32:30.8646869Z  
2022-11-23T01:32:30.8647057Z [2022-11-23 01:29:07,138] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8647132Z  - 
2022-11-23T01:32:30.8647257Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8647325Z             {
2022-11-23T01:32:30.8647464Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8647654Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.8647778Z                 'obj_weakref': None
2022-11-23T01:32:30.8648005Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8648074Z             }
2022-11-23T01:32:30.8648142Z             
2022-11-23T01:32:30.8648216Z  - 
2022-11-23T01:32:30.8648336Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:30.8648403Z             {
2022-11-23T01:32:30.8648546Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:30.8648718Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:30.8648932Z                 'obj_weakref': <weakref at 0x7f1fe035a390; to 'Tensor' at 0x7f1fe80fa020>
2022-11-23T01:32:30.8649182Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8649253Z             }
2022-11-23T01:32:30.8649314Z             
2022-11-23T01:32:30.8649391Z  - 
2022-11-23T01:32:30.8649517Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8649590Z             {
2022-11-23T01:32:30.8649736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8649849Z                 'code': None,
2022-11-23T01:32:30.8650063Z                 'obj_weakref': <weakref at 0x7f1fe035a390; to 'Tensor' at 0x7f1fe80fa020>
2022-11-23T01:32:30.8650308Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8650377Z             }
2022-11-23T01:32:30.8650444Z             
2022-11-23T01:32:30.8650519Z  - 
2022-11-23T01:32:30.8650646Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.8650714Z             {
2022-11-23T01:32:30.8650859Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8650962Z                 'code': None,
2022-11-23T01:32:30.8651201Z                 'obj_weakref': <weakref at 0x7f1fe0359620; to 'Tensor' at 0x7f1fe80f9b70>
2022-11-23T01:32:30.8651447Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8651539Z             }
2022-11-23T01:32:30.8651607Z             
2022-11-23T01:32:30.8651685Z  - 
2022-11-23T01:32:30.8651820Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8651881Z             {
2022-11-23T01:32:30.8652020Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8652197Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8652319Z                 'obj_weakref': None
2022-11-23T01:32:30.8652550Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8652620Z             }
2022-11-23T01:32:30.8652687Z             
2022-11-23T01:32:30.8652755Z  - 
2022-11-23T01:32:30.8652879Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8652950Z             {
2022-11-23T01:32:30.8653090Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8653311Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8653439Z                 'obj_weakref': None
2022-11-23T01:32:30.8653664Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8653725Z             }
2022-11-23T01:32:30.8653795Z             
2022-11-23T01:32:30.8653870Z  - 
2022-11-23T01:32:30.8654007Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8654075Z             {
2022-11-23T01:32:30.8654199Z                 'guard_types': None,
2022-11-23T01:32:30.8654312Z                 'code': None,
2022-11-23T01:32:30.8654425Z                 'obj_weakref': None
2022-11-23T01:32:30.8654550Z                 'guarded_class': None
2022-11-23T01:32:30.8654618Z             }
2022-11-23T01:32:30.8654685Z             
2022-11-23T01:32:30.8654948Z [2022-11-23 01:29:07,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358
2022-11-23T01:32:30.8655196Z [2022-11-23 01:29:07,153] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8655444Z [2022-11-23 01:29:07,154] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.8655811Z [2022-11-23 01:29:07,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zy/czyuqlgeesusm6menzcv6azm73isqnpfzz2y467snfumpypkmf5a.py
2022-11-23T01:32:30.8656068Z [2022-11-23 01:29:07,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358
2022-11-23T01:32:30.8656080Z 
2022-11-23T01:32:30.8656174Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8656248Z import torch
2022-11-23T01:32:30.8656322Z import random
2022-11-23T01:32:30.8656444Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8656576Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8656581Z 
2022-11-23T01:32:30.8656667Z aten = torch.ops.aten
2022-11-23T01:32:30.8656808Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8656901Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8656906Z 
2022-11-23T01:32:30.8656980Z import triton
2022-11-23T01:32:30.8657073Z import triton.language as tl
2022-11-23T01:32:30.8657202Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8657346Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8657352Z 
2022-11-23T01:32:30.8657357Z 
2022-11-23T01:32:30.8657566Z triton_fused_mul_1_as_strided_scatter_mul_add_sub0 = async_compile.triton('''
2022-11-23T01:32:30.8657645Z import triton
2022-11-23T01:32:30.8657737Z import triton.language as tl
2022-11-23T01:32:30.8657846Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8657950Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8658117Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8658246Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8658252Z 
2022-11-23T01:32:30.8658632Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8658732Z @triton.jit
2022-11-23T01:32:30.8659057Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8659136Z     xnumel = 10240
2022-11-23T01:32:30.8659228Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8659360Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8659443Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8659515Z     x0 = xindex
2022-11-23T01:32:30.8659613Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8659684Z     tmp1 = 8
2022-11-23T01:32:30.8659757Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:30.8659832Z     tmp3 = 10
2022-11-23T01:32:30.8659909Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.8660046Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8660144Z ''')
2022-11-23T01:32:30.8660150Z 
2022-11-23T01:32:30.8660155Z 
2022-11-23T01:32:30.8660319Z triton_fused_mul_1_sub1 = async_compile.triton('''
2022-11-23T01:32:30.8660394Z import triton
2022-11-23T01:32:30.8660488Z import triton.language as tl
2022-11-23T01:32:30.8660597Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8660700Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8660838Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8660965Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8660970Z 
2022-11-23T01:32:30.8661347Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8661422Z @triton.jit
2022-11-23T01:32:30.8661555Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8661630Z     xnumel = 5120
2022-11-23T01:32:30.8661725Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8661856Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8661940Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8662012Z     x0 = xindex
2022-11-23T01:32:30.8662110Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.8662180Z     tmp1 = 2
2022-11-23T01:32:30.8662252Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:30.8662324Z     tmp3 = 4
2022-11-23T01:32:30.8662435Z     tmp4 = tmp2 - tmp3
2022-11-23T01:32:30.8662573Z     tl.store(out_ptr0 + (2*x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8662658Z ''')
2022-11-23T01:32:30.8662663Z 
2022-11-23T01:32:30.8662667Z 
2022-11-23T01:32:30.8662765Z async_compile.wait(globals())
2022-11-23T01:32:30.8662842Z del async_compile
2022-11-23T01:32:30.8662850Z 
2022-11-23T01:32:30.8662926Z def call(args):
2022-11-23T01:32:30.8662999Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.8663074Z     args.clear()
2022-11-23T01:32:30.8663283Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8663377Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8663554Z     triton_fused_mul_1_as_strided_scatter_mul_add_sub0.run(arg0_1, buf0, 10240, grid=grid(10240), stream=stream0)
2022-11-23T01:32:30.8663627Z     del arg0_1
2022-11-23T01:32:30.8663774Z     triton_fused_mul_1_sub1.run(arg1_1, buf0, 5120, grid=grid(5120), stream=stream0)
2022-11-23T01:32:30.8663840Z     del arg1_1
2022-11-23T01:32:30.8663916Z     return (buf0, )
2022-11-23T01:32:30.8663921Z 
2022-11-23T01:32:30.8663926Z 
2022-11-23T01:32:30.8664008Z if __name__ == "__main__":
2022-11-23T01:32:30.8664128Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8664260Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8664523Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8664729Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8664879Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.8664884Z 
2022-11-23T01:32:30.8664889Z 
2022-11-23T01:32:30.8664986Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8665054Z import torch
2022-11-23T01:32:30.8665128Z import random
2022-11-23T01:32:30.8665250Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8665375Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8665381Z 
2022-11-23T01:32:30.8665463Z aten = torch.ops.aten
2022-11-23T01:32:30.8665603Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8665700Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8665705Z 
2022-11-23T01:32:30.8665774Z import triton
2022-11-23T01:32:30.8665870Z import triton.language as tl
2022-11-23T01:32:30.8665997Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8666139Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8666148Z 
2022-11-23T01:32:30.8666153Z 
2022-11-23T01:32:30.8666363Z triton_fused_as_strided_scatter_sub_mul_1_mul_add0 = async_compile.triton('''
2022-11-23T01:32:30.8666437Z import triton
2022-11-23T01:32:30.8666529Z import triton.language as tl
2022-11-23T01:32:30.8666645Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8666742Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8666877Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8667004Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8667009Z 
2022-11-23T01:32:30.8667385Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8667459Z @triton.jit
2022-11-23T01:32:30.8667593Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8667668Z     xnumel = 10240
2022-11-23T01:32:30.8667771Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8667896Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8667980Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8668052Z     x0 = xindex
2022-11-23T01:32:30.8668173Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8668245Z     tmp1 = 8
2022-11-23T01:32:30.8668327Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:30.8668399Z     tmp3 = 10
2022-11-23T01:32:30.8668471Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:30.8668609Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8668695Z ''')
2022-11-23T01:32:30.8668701Z 
2022-11-23T01:32:30.8668705Z 
2022-11-23T01:32:30.8668869Z triton_fused_sub_mul_11 = async_compile.triton('''
2022-11-23T01:32:30.8668949Z import triton
2022-11-23T01:32:30.8669042Z import triton.language as tl
2022-11-23T01:32:30.8669158Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8669254Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8669391Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8669521Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8669526Z 
2022-11-23T01:32:30.8669898Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8669972Z @triton.jit
2022-11-23T01:32:30.8670106Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8670180Z     xnumel = 5120
2022-11-23T01:32:30.8670334Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8670474Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8670607Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8670697Z     x0 = xindex
2022-11-23T01:32:30.8670818Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.8670913Z     tmp1 = 2
2022-11-23T01:32:30.8670992Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:30.8671062Z     tmp3 = 4
2022-11-23T01:32:30.8671169Z     tmp4 = tmp2 - tmp3
2022-11-23T01:32:30.8671309Z     tl.store(out_ptr0 + (2*x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.8671396Z ''')
2022-11-23T01:32:30.8671402Z 
2022-11-23T01:32:30.8671407Z 
2022-11-23T01:32:30.8671501Z async_compile.wait(globals())
2022-11-23T01:32:30.8671579Z del async_compile
2022-11-23T01:32:30.8671584Z 
2022-11-23T01:32:30.8671660Z def call(args):
2022-11-23T01:32:30.8671739Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.8671809Z     args.clear()
2022-11-23T01:32:30.8672015Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8672112Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8672288Z     triton_fused_as_strided_scatter_sub_mul_1_mul_add0.run(arg0_1, buf0, 10240, grid=grid(10240), stream=stream0)
2022-11-23T01:32:30.8672362Z     del arg0_1
2022-11-23T01:32:30.8672512Z     triton_fused_sub_mul_11.run(arg1_1, buf0, 5120, grid=grid(5120), stream=stream0)
2022-11-23T01:32:30.8672586Z     del arg1_1
2022-11-23T01:32:30.8672662Z     return (buf0, )
2022-11-23T01:32:30.8672668Z 
2022-11-23T01:32:30.8672672Z 
2022-11-23T01:32:30.8672746Z if __name__ == "__main__":
2022-11-23T01:32:30.8672865Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8672992Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8673202Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8673406Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8673527Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.8673533Z 
2022-11-23T01:32:30.8673607Z ok (0.230s)
2022-11-23T01:32:30.8673919Z   test_avg_pool2d1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8674230Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8674451Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8674706Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8674987Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8675302Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8675645Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8675962Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8676337Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011> 
2022-11-23T01:32:30.8676443Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8676553Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8676643Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8676738Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8676833Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8676963Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8677059Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8677151Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8677271Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8677357Z               18 CALL_METHOD              3
2022-11-23T01:32:30.8677438Z               20 RETURN_VALUE
2022-11-23T01:32:30.8677503Z  
2022-11-23T01:32:30.8677508Z 
2022-11-23T01:32:30.8677824Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012
2022-11-23T01:32:30.8678040Z [2022-11-23 01:29:07,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8678352Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8678615Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8678902Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8679227Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8679580Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8679877Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8680216Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8680593Z [2022-11-23 01:29:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8680930Z [2022-11-23 01:29:07,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8681178Z [2022-11-23 01:29:07,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8681554Z [2022-11-23 01:29:07,240] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011>
2022-11-23T01:32:30.8681802Z [2022-11-23 01:29:07,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8682041Z [2022-11-23 01:29:07,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8682296Z [2022-11-23 01:29:07,240] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8682545Z [2022-11-23 01:29:07,242] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8682732Z [2022-11-23 01:29:07,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8682876Z  __compiled_fn_369 <eval_with_key>.2280 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8682971Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8683109Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.8683222Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8683228Z 
2022-11-23T01:32:30.8683548Z [2022-11-23 01:29:07,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8683684Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8683782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8683868Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8683970Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8684084Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8684179Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8684260Z              12 RETURN_VALUE
2022-11-23T01:32:30.8684265Z 
2022-11-23T01:32:30.8684331Z  
2022-11-23T01:32:30.8684647Z [2022-11-23 01:29:07,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8684766Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_369)
2022-11-23T01:32:30.8684854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8684951Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8685033Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8685127Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8685227Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8685307Z              12 RETURN_VALUE
2022-11-23T01:32:30.8685312Z 
2022-11-23T01:32:30.8685380Z  
2022-11-23T01:32:30.8685557Z [2022-11-23 01:29:07,244] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8685633Z  - 
2022-11-23T01:32:30.8685757Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8685828Z             {
2022-11-23T01:32:30.8685973Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8686161Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8686284Z                 'obj_weakref': None
2022-11-23T01:32:30.8686501Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8686571Z             }
2022-11-23T01:32:30.8686640Z             
2022-11-23T01:32:30.8686721Z  - 
2022-11-23T01:32:30.8686852Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8686919Z             {
2022-11-23T01:32:30.8687065Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8687169Z                 'code': None,
2022-11-23T01:32:30.8687386Z                 'obj_weakref': <weakref at 0x7f1fe816a110; to 'Tensor' at 0x7f1fe81b7ab0>
2022-11-23T01:32:30.8687639Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8687707Z             }
2022-11-23T01:32:30.8687775Z             
2022-11-23T01:32:30.8687850Z  - 
2022-11-23T01:32:30.8687984Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8688045Z             {
2022-11-23T01:32:30.8688183Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8688356Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8688481Z                 'obj_weakref': None
2022-11-23T01:32:30.8688712Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8688780Z             }
2022-11-23T01:32:30.8688848Z             
2022-11-23T01:32:30.8688915Z  - 
2022-11-23T01:32:30.8689039Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8689111Z             {
2022-11-23T01:32:30.8689250Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8689466Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8689588Z                 'obj_weakref': None
2022-11-23T01:32:30.8689813Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8689874Z             }
2022-11-23T01:32:30.8689942Z             
2022-11-23T01:32:30.8690018Z  - 
2022-11-23T01:32:30.8690154Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8690221Z             {
2022-11-23T01:32:30.8690344Z                 'guard_types': None,
2022-11-23T01:32:30.8690455Z                 'code': None,
2022-11-23T01:32:30.8690605Z                 'obj_weakref': None
2022-11-23T01:32:30.8690737Z                 'guarded_class': None
2022-11-23T01:32:30.8690805Z             }
2022-11-23T01:32:30.8690874Z             
2022-11-23T01:32:30.8691160Z [2022-11-23 01:29:07,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359
2022-11-23T01:32:30.8691410Z [2022-11-23 01:29:07,287] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8691775Z [2022-11-23 01:29:07,410] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uo/cuoydqiutz6wpw3sirdsbndbcn3wahqsmywowov7stcdn5erbqht.py
2022-11-23T01:32:30.8692040Z [2022-11-23 01:29:07,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359
2022-11-23T01:32:30.8692270Z [2022-11-23 01:29:07,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8692587Z [2022-11-23 01:29:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8692808Z [2022-11-23 01:29:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8693065Z [2022-11-23 01:29:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8693340Z [2022-11-23 01:29:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8693657Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8694000Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8694323Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8694695Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011> 
2022-11-23T01:32:30.8694801Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8694903Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8695001Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8695097Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8695192Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8695285Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8695380Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8695472Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8695557Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8695652Z               18 CALL_METHOD              3
2022-11-23T01:32:30.8695736Z               20 RETURN_VALUE
2022-11-23T01:32:30.8695802Z  
2022-11-23T01:32:30.8695808Z 
2022-11-23T01:32:30.8696120Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012
2022-11-23T01:32:30.8696344Z [2022-11-23 01:29:07,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8696655Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8696916Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8697203Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8697543Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8697897Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8698227Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8698569Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8699132Z [2022-11-23 01:29:07,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8699473Z [2022-11-23 01:29:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8699724Z [2022-11-23 01:29:07,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8700101Z [2022-11-23 01:29:07,422] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011>
2022-11-23T01:32:30.8700348Z [2022-11-23 01:29:07,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8700583Z [2022-11-23 01:29:07,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8700838Z [2022-11-23 01:29:07,423] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8701081Z [2022-11-23 01:29:07,425] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8701278Z [2022-11-23 01:29:07,425] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8701419Z  __compiled_fn_370 <eval_with_key>.2286 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8701516Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8701658Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.8701769Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8701775Z 
2022-11-23T01:32:30.8702098Z [2022-11-23 01:29:07,425] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8702198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8702295Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8702385Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8702484Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8702606Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8702715Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8702814Z              12 RETURN_VALUE
2022-11-23T01:32:30.8702819Z 
2022-11-23T01:32:30.8702884Z  
2022-11-23T01:32:30.8703205Z [2022-11-23 01:29:07,426] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8703317Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_370)
2022-11-23T01:32:30.8703414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8703509Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8703592Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8703684Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8703781Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8703861Z              12 RETURN_VALUE
2022-11-23T01:32:30.8703866Z 
2022-11-23T01:32:30.8703930Z  
2022-11-23T01:32:30.8704157Z [2022-11-23 01:29:07,426] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8704236Z  - 
2022-11-23T01:32:30.8704361Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8704430Z             {
2022-11-23T01:32:30.8704574Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8704791Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8704914Z                 'obj_weakref': None
2022-11-23T01:32:30.8705132Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8705201Z             }
2022-11-23T01:32:30.8705269Z             
2022-11-23T01:32:30.8705348Z  - 
2022-11-23T01:32:30.8705476Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8705545Z             {
2022-11-23T01:32:30.8705685Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8705798Z                 'code': None,
2022-11-23T01:32:30.8706021Z                 'obj_weakref': <weakref at 0x7f1fd9b21530; to 'Tensor' at 0x7f1fe81b5b20>
2022-11-23T01:32:30.8706273Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8706341Z             }
2022-11-23T01:32:30.8706414Z             
2022-11-23T01:32:30.8706489Z  - 
2022-11-23T01:32:30.8706616Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8706683Z             {
2022-11-23T01:32:30.8706823Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8706996Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8707119Z                 'obj_weakref': None
2022-11-23T01:32:30.8707347Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8707417Z             }
2022-11-23T01:32:30.8707485Z             
2022-11-23T01:32:30.8707554Z  - 
2022-11-23T01:32:30.8707678Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8707746Z             {
2022-11-23T01:32:30.8707888Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8708105Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8708228Z                 'obj_weakref': None
2022-11-23T01:32:30.8708453Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8708514Z             }
2022-11-23T01:32:30.8708581Z             
2022-11-23T01:32:30.8708655Z  - 
2022-11-23T01:32:30.8708790Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8708858Z             {
2022-11-23T01:32:30.8708981Z                 'guard_types': None,
2022-11-23T01:32:30.8709085Z                 'code': None,
2022-11-23T01:32:30.8709205Z                 'obj_weakref': None
2022-11-23T01:32:30.8709332Z                 'guarded_class': None
2022-11-23T01:32:30.8709400Z             }
2022-11-23T01:32:30.8709468Z             
2022-11-23T01:32:30.8709731Z [2022-11-23 01:29:07,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360
2022-11-23T01:32:30.8709980Z [2022-11-23 01:29:07,448] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8710425Z [2022-11-23 01:29:07,575] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qn/cqn3tlokjvxwwkep7hh7swhdyrwxd6g6pzhl2sw4rwr5szdhavcx.py
2022-11-23T01:32:30.8710729Z [2022-11-23 01:29:07,575] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360
2022-11-23T01:32:30.8710746Z 
2022-11-23T01:32:30.8710840Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8710914Z import torch
2022-11-23T01:32:30.8710989Z import random
2022-11-23T01:32:30.8711111Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8711238Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8711244Z 
2022-11-23T01:32:30.8711327Z aten = torch.ops.aten
2022-11-23T01:32:30.8711467Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8711617Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8711623Z 
2022-11-23T01:32:30.8711699Z import triton
2022-11-23T01:32:30.8711794Z import triton.language as tl
2022-11-23T01:32:30.8711955Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8712098Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8712104Z 
2022-11-23T01:32:30.8712109Z 
2022-11-23T01:32:30.8712277Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8712353Z import triton
2022-11-23T01:32:30.8712438Z import triton.language as tl
2022-11-23T01:32:30.8712553Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8712655Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8712790Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8712920Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8712926Z 
2022-11-23T01:32:30.8713302Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.8713378Z @triton.jit
2022-11-23T01:32:30.8713515Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8713584Z     xnumel = 392
2022-11-23T01:32:30.8713682Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8713813Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8713899Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8713974Z     x0 = xindex % 7
2022-11-23T01:32:30.8714056Z     x1 = (xindex // 7) % 7
2022-11-23T01:32:30.8714136Z     x2 = (xindex // 49)
2022-11-23T01:32:30.8714200Z     x3 = xindex
2022-11-23T01:32:30.8714320Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8714442Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8714564Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8714684Z     tmp5 = tl.load(in_ptr0 + (16 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8714803Z     tmp7 = tl.load(in_ptr0 + (17 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8714924Z     tmp9 = tl.load(in_ptr0 + (18 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8715045Z     tmp11 = tl.load(in_ptr0 + (32 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8715158Z     tmp13 = tl.load(in_ptr0 + (33 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8715280Z     tmp15 = tl.load(in_ptr0 + (34 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:30.8715361Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8715440Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8715523Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8715600Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8715678Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8715752Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8715833Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8715916Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8715998Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8716076Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8716216Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8716307Z ''')
2022-11-23T01:32:30.8716312Z 
2022-11-23T01:32:30.8716317Z 
2022-11-23T01:32:30.8716405Z async_compile.wait(globals())
2022-11-23T01:32:30.8716482Z del async_compile
2022-11-23T01:32:30.8716488Z 
2022-11-23T01:32:30.8716563Z def call(args):
2022-11-23T01:32:30.8716636Z     arg0_1, = args
2022-11-23T01:32:30.8716714Z     args.clear()
2022-11-23T01:32:30.8716929Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8717021Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8717163Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 392, grid=grid(392), stream=stream0)
2022-11-23T01:32:30.8717237Z     del arg0_1
2022-11-23T01:32:30.8717313Z     return (buf0, )
2022-11-23T01:32:30.8717349Z 
2022-11-23T01:32:30.8717355Z 
2022-11-23T01:32:30.8717437Z if __name__ == "__main__":
2022-11-23T01:32:30.8717557Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8717708Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8717933Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8718047Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8718052Z 
2022-11-23T01:32:30.8718057Z 
2022-11-23T01:32:30.8718155Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8718222Z import torch
2022-11-23T01:32:30.8718297Z import random
2022-11-23T01:32:30.8718417Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8718542Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8718547Z 
2022-11-23T01:32:30.8718630Z aten = torch.ops.aten
2022-11-23T01:32:30.8718771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8718870Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8718875Z 
2022-11-23T01:32:30.8718943Z import triton
2022-11-23T01:32:30.8719036Z import triton.language as tl
2022-11-23T01:32:30.8719169Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8719311Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8719317Z 
2022-11-23T01:32:30.8719322Z 
2022-11-23T01:32:30.8719487Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8719562Z import triton
2022-11-23T01:32:30.8719654Z import triton.language as tl
2022-11-23T01:32:30.8719767Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8719863Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8719997Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8720124Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8720129Z 
2022-11-23T01:32:30.8720497Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.8720572Z @triton.jit
2022-11-23T01:32:30.8720709Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8720784Z     xnumel = 392
2022-11-23T01:32:30.8720882Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8721008Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8721091Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8721166Z     x0 = xindex % 7
2022-11-23T01:32:30.8721248Z     x1 = (xindex // 7) % 7
2022-11-23T01:32:30.8721330Z     x2 = (xindex // 49)
2022-11-23T01:32:30.8721401Z     x3 = xindex
2022-11-23T01:32:30.8721536Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8721667Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8721801Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8721935Z     tmp5 = tl.load(in_ptr0 + (16 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722071Z     tmp7 = tl.load(in_ptr0 + (17 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722203Z     tmp9 = tl.load(in_ptr0 + (18 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722339Z     tmp11 = tl.load(in_ptr0 + (32 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722474Z     tmp13 = tl.load(in_ptr0 + (33 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722608Z     tmp15 = tl.load(in_ptr0 + (34 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8722681Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8722761Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8722839Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8722917Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8723024Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8723107Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8723187Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8723260Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8723361Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8723441Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8723580Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8723669Z ''')
2022-11-23T01:32:30.8723675Z 
2022-11-23T01:32:30.8723679Z 
2022-11-23T01:32:30.8723773Z async_compile.wait(globals())
2022-11-23T01:32:30.8723851Z del async_compile
2022-11-23T01:32:30.8723856Z 
2022-11-23T01:32:30.8723924Z def call(args):
2022-11-23T01:32:30.8723998Z     arg0_1, = args
2022-11-23T01:32:30.8724073Z     args.clear()
2022-11-23T01:32:30.8724290Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8724382Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8724532Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 392, grid=grid(392), stream=stream0)
2022-11-23T01:32:30.8724606Z     del arg0_1
2022-11-23T01:32:30.8724674Z     return (buf0, )
2022-11-23T01:32:30.8724687Z 
2022-11-23T01:32:30.8724691Z 
2022-11-23T01:32:30.8724771Z if __name__ == "__main__":
2022-11-23T01:32:30.8724891Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8725019Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8725241Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8725354Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8725360Z 
2022-11-23T01:32:30.8725431Z ok (0.347s)
2022-11-23T01:32:30.8725745Z   test_avg_pool2d2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:07,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8726070Z [2022-11-23 01:29:07,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8726286Z [2022-11-23 01:29:07,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8726546Z [2022-11-23 01:29:07,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8726832Z [2022-11-23 01:29:07,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8727148Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8727490Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8727809Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8728182Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020> 
2022-11-23T01:32:30.8728288Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8728398Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8728497Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8728586Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8728680Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8728775Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8728869Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8728961Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8729053Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8729149Z               18 CALL_METHOD              3
2022-11-23T01:32:30.8729260Z               20 RETURN_VALUE
2022-11-23T01:32:30.8729328Z  
2022-11-23T01:32:30.8729333Z 
2022-11-23T01:32:30.8729647Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021
2022-11-23T01:32:30.8729888Z [2022-11-23 01:29:07,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8730202Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8730462Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8730746Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8731075Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8731429Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8731736Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8732069Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8732442Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8732777Z [2022-11-23 01:29:07,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8733026Z [2022-11-23 01:29:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8733401Z [2022-11-23 01:29:07,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020>
2022-11-23T01:32:30.8733650Z [2022-11-23 01:29:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8733885Z [2022-11-23 01:29:07,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8734141Z [2022-11-23 01:29:07,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8734392Z [2022-11-23 01:29:07,609] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8734588Z [2022-11-23 01:29:07,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8734722Z  __compiled_fn_371 <eval_with_key>.2292 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8734817Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8734957Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.8735070Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8735076Z 
2022-11-23T01:32:30.8735397Z [2022-11-23 01:29:07,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8735496Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8735597Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8735690Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8735783Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8735874Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8735993Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8736077Z              12 RETURN_VALUE
2022-11-23T01:32:30.8736083Z 
2022-11-23T01:32:30.8736149Z  
2022-11-23T01:32:30.8736473Z [2022-11-23 01:29:07,610] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8736611Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_371)
2022-11-23T01:32:30.8736709Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8736798Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8736879Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8736973Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8737067Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8737148Z              12 RETURN_VALUE
2022-11-23T01:32:30.8737154Z 
2022-11-23T01:32:30.8737219Z  
2022-11-23T01:32:30.8737406Z [2022-11-23 01:29:07,610] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8737475Z  - 
2022-11-23T01:32:30.8737601Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8737671Z             {
2022-11-23T01:32:30.8737816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8738007Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8738133Z                 'obj_weakref': None
2022-11-23T01:32:30.8738359Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8738421Z             }
2022-11-23T01:32:30.8738489Z             
2022-11-23T01:32:30.8738564Z  - 
2022-11-23T01:32:30.8738697Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8738766Z             {
2022-11-23T01:32:30.8739243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8739356Z                 'code': None,
2022-11-23T01:32:30.8739565Z                 'obj_weakref': <weakref at 0x7f1fd9b22390; to 'Tensor' at 0x7f2151f001d0>
2022-11-23T01:32:30.8739820Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8739890Z             }
2022-11-23T01:32:30.8739959Z             
2022-11-23T01:32:30.8740035Z  - 
2022-11-23T01:32:30.8740174Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8740242Z             {
2022-11-23T01:32:30.8740375Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8740549Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8740672Z                 'obj_weakref': None
2022-11-23T01:32:30.8740902Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8740970Z             }
2022-11-23T01:32:30.8741038Z             
2022-11-23T01:32:30.8741112Z  - 
2022-11-23T01:32:30.8741230Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8741298Z             {
2022-11-23T01:32:30.8741437Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8741657Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8741780Z                 'obj_weakref': None
2022-11-23T01:32:30.8742003Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8742073Z             }
2022-11-23T01:32:30.8742133Z             
2022-11-23T01:32:30.8742210Z  - 
2022-11-23T01:32:30.8742345Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8742413Z             {
2022-11-23T01:32:30.8742541Z                 'guard_types': None,
2022-11-23T01:32:30.8742652Z                 'code': None,
2022-11-23T01:32:30.8742775Z                 'obj_weakref': None
2022-11-23T01:32:30.8742893Z                 'guarded_class': None
2022-11-23T01:32:30.8742960Z             }
2022-11-23T01:32:30.8743028Z             
2022-11-23T01:32:30.8743286Z [2022-11-23 01:29:07,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361
2022-11-23T01:32:30.8743593Z [2022-11-23 01:29:07,639] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8743963Z [2022-11-23 01:29:07,756] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5dszdnlbgedkptcgs5zipp47icwuw4h3obpztcq6tlabz22ehq.py
2022-11-23T01:32:30.8744260Z [2022-11-23 01:29:07,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361
2022-11-23T01:32:30.8744499Z [2022-11-23 01:29:07,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8744807Z [2022-11-23 01:29:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8745027Z [2022-11-23 01:29:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8745281Z [2022-11-23 01:29:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8745562Z [2022-11-23 01:29:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8745881Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8746228Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8746545Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8746918Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020> 
2022-11-23T01:32:30.8747022Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8747134Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8747227Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8747323Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8747422Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8747515Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8747612Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8747704Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8747796Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8747882Z               18 CALL_METHOD              3
2022-11-23T01:32:30.8747966Z               20 RETURN_VALUE
2022-11-23T01:32:30.8748032Z  
2022-11-23T01:32:30.8748037Z 
2022-11-23T01:32:30.8748350Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021
2022-11-23T01:32:30.8748571Z [2022-11-23 01:29:07,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8748884Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8749148Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8749436Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8749757Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8750104Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8750535Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8750888Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8751289Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8751624Z [2022-11-23 01:29:07,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8751874Z [2022-11-23 01:29:07,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8752252Z [2022-11-23 01:29:07,767] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020>
2022-11-23T01:32:30.8752500Z [2022-11-23 01:29:07,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8752739Z [2022-11-23 01:29:07,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8752999Z [2022-11-23 01:29:07,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8753253Z [2022-11-23 01:29:07,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8753440Z [2022-11-23 01:29:07,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8753582Z  __compiled_fn_372 <eval_with_key>.2298 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8753677Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8753817Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:30.8753934Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8753940Z 
2022-11-23T01:32:30.8754268Z [2022-11-23 01:29:07,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8754372Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8754470Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8754556Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8754656Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8754749Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8754843Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8754925Z              12 RETURN_VALUE
2022-11-23T01:32:30.8754931Z 
2022-11-23T01:32:30.8754998Z  
2022-11-23T01:32:30.8755324Z [2022-11-23 01:29:07,770] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8755443Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_372)
2022-11-23T01:32:30.8755533Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8755633Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8755716Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8755810Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8755906Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8755989Z              12 RETURN_VALUE
2022-11-23T01:32:30.8755994Z 
2022-11-23T01:32:30.8756060Z  
2022-11-23T01:32:30.8756244Z [2022-11-23 01:29:07,771] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8756320Z  - 
2022-11-23T01:32:30.8756448Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8756517Z             {
2022-11-23T01:32:30.8756665Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8756859Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8757013Z                 'obj_weakref': None
2022-11-23T01:32:30.8757236Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8757306Z             }
2022-11-23T01:32:30.8757399Z             
2022-11-23T01:32:30.8757477Z  - 
2022-11-23T01:32:30.8757609Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8757679Z             {
2022-11-23T01:32:30.8757829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8757935Z                 'code': None,
2022-11-23T01:32:30.8758154Z                 'obj_weakref': <weakref at 0x7f1fd9b3da80; to 'Tensor' at 0x7f1fe81b7ab0>
2022-11-23T01:32:30.8758408Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8758478Z             }
2022-11-23T01:32:30.8758546Z             
2022-11-23T01:32:30.8758622Z  - 
2022-11-23T01:32:30.8758757Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8758823Z             {
2022-11-23T01:32:30.8758965Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8759143Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8759272Z                 'obj_weakref': None
2022-11-23T01:32:30.8759509Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8759578Z             }
2022-11-23T01:32:30.8759649Z             
2022-11-23T01:32:30.8759717Z  - 
2022-11-23T01:32:30.8759843Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8759914Z             {
2022-11-23T01:32:30.8760056Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8760279Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8760404Z                 'obj_weakref': None
2022-11-23T01:32:30.8760632Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8760696Z             }
2022-11-23T01:32:30.8760767Z             
2022-11-23T01:32:30.8760843Z  - 
2022-11-23T01:32:30.8760980Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8761048Z             {
2022-11-23T01:32:30.8761177Z                 'guard_types': None,
2022-11-23T01:32:30.8761289Z                 'code': None,
2022-11-23T01:32:30.8761405Z                 'obj_weakref': None
2022-11-23T01:32:30.8761532Z                 'guarded_class': None
2022-11-23T01:32:30.8761601Z             }
2022-11-23T01:32:30.8761669Z             
2022-11-23T01:32:30.8761933Z [2022-11-23 01:29:07,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362
2022-11-23T01:32:30.8762186Z [2022-11-23 01:29:07,790] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8762555Z [2022-11-23 01:29:07,911] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kl/ckl5ip2njhscco4cuxsscgbcevs22ibecqcjfb6k7kspnu75rpai.py
2022-11-23T01:32:30.8762827Z [2022-11-23 01:29:07,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362
2022-11-23T01:32:30.8762833Z 
2022-11-23T01:32:30.8762927Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8763005Z import torch
2022-11-23T01:32:30.8763080Z import random
2022-11-23T01:32:30.8763204Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8763332Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8763337Z 
2022-11-23T01:32:30.8763423Z aten = torch.ops.aten
2022-11-23T01:32:30.8763563Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8763653Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8763665Z 
2022-11-23T01:32:30.8763734Z import triton
2022-11-23T01:32:30.8763826Z import triton.language as tl
2022-11-23T01:32:30.8763955Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8764100Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8764138Z 
2022-11-23T01:32:30.8764143Z 
2022-11-23T01:32:30.8764312Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8764389Z import triton
2022-11-23T01:32:30.8764483Z import triton.language as tl
2022-11-23T01:32:30.8764613Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8764719Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8764855Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8764987Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8764993Z 
2022-11-23T01:32:30.8765371Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8765447Z @triton.jit
2022-11-23T01:32:30.8765583Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8765660Z     xnumel = 746496
2022-11-23T01:32:30.8765756Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8765888Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8765974Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8766057Z     x0 = xindex % 27
2022-11-23T01:32:30.8766140Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:30.8766222Z     x2 = (xindex // 729)
2022-11-23T01:32:30.8766295Z     x3 = xindex
2022-11-23T01:32:30.8766411Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8766533Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8766654Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8766773Z     tmp5 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8766890Z     tmp7 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8767011Z     tmp9 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8767136Z     tmp11 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8767259Z     tmp13 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8767372Z     tmp15 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:30.8767455Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8767534Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8767613Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8767692Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8767771Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8767846Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8767928Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8768009Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8768092Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8768172Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8768312Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8768400Z ''')
2022-11-23T01:32:30.8768406Z 
2022-11-23T01:32:30.8768414Z 
2022-11-23T01:32:30.8768509Z async_compile.wait(globals())
2022-11-23T01:32:30.8768580Z del async_compile
2022-11-23T01:32:30.8768585Z 
2022-11-23T01:32:30.8768660Z def call(args):
2022-11-23T01:32:30.8768737Z     arg0_1, = args
2022-11-23T01:32:30.8768816Z     args.clear()
2022-11-23T01:32:30.8769044Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8769139Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8769289Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:30.8769356Z     del arg0_1
2022-11-23T01:32:30.8769433Z     return (buf0, )
2022-11-23T01:32:30.8769438Z 
2022-11-23T01:32:30.8769443Z 
2022-11-23T01:32:30.8769523Z if __name__ == "__main__":
2022-11-23T01:32:30.8769643Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8769776Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8770036Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8770153Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8770158Z 
2022-11-23T01:32:30.8770181Z 
2022-11-23T01:32:30.8770282Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8770350Z import torch
2022-11-23T01:32:30.8770429Z import random
2022-11-23T01:32:30.8770550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8770679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8770684Z 
2022-11-23T01:32:30.8770767Z aten = torch.ops.aten
2022-11-23T01:32:30.8770906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8771004Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8771009Z 
2022-11-23T01:32:30.8771084Z import triton
2022-11-23T01:32:30.8771171Z import triton.language as tl
2022-11-23T01:32:30.8771299Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8771447Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8771453Z 
2022-11-23T01:32:30.8771457Z 
2022-11-23T01:32:30.8771622Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8771701Z import triton
2022-11-23T01:32:30.8771794Z import triton.language as tl
2022-11-23T01:32:30.8771910Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8772014Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8772143Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8772270Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8772275Z 
2022-11-23T01:32:30.8772655Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8772730Z @triton.jit
2022-11-23T01:32:30.8772865Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8772943Z     xnumel = 746496
2022-11-23T01:32:30.8773043Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8773176Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8773257Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8773333Z     x0 = xindex % 27
2022-11-23T01:32:30.8773417Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:30.8773498Z     x2 = (xindex // 729)
2022-11-23T01:32:30.8773569Z     x3 = xindex
2022-11-23T01:32:30.8773707Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8773837Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8773974Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774111Z     tmp5 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774252Z     tmp7 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774385Z     tmp9 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774522Z     tmp11 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774662Z     tmp13 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774793Z     tmp15 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8774874Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8774947Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8775027Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8775106Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8775189Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8775272Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8775352Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8775426Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8775510Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8775632Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8775775Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8775864Z ''')
2022-11-23T01:32:30.8775870Z 
2022-11-23T01:32:30.8775896Z 
2022-11-23T01:32:30.8775991Z async_compile.wait(globals())
2022-11-23T01:32:30.8776070Z del async_compile
2022-11-23T01:32:30.8776075Z 
2022-11-23T01:32:30.8776150Z def call(args):
2022-11-23T01:32:30.8776217Z     arg0_1, = args
2022-11-23T01:32:30.8776293Z     args.clear()
2022-11-23T01:32:30.8776521Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8776613Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8776762Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:30.8776834Z     del arg0_1
2022-11-23T01:32:30.8776912Z     return (buf0, )
2022-11-23T01:32:30.8776917Z 
2022-11-23T01:32:30.8776922Z 
2022-11-23T01:32:30.8777003Z if __name__ == "__main__":
2022-11-23T01:32:30.8777120Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8777251Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8777483Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8777601Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8777606Z 
2022-11-23T01:32:30.8777682Z ok (0.336s)
2022-11-23T01:32:30.8777997Z   test_avg_pool2d3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8778315Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8778535Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8778983Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8779267Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8779586Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8779929Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8780246Z [2022-11-23 01:29:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8780617Z [2022-11-23 01:29:07,916] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029> 
2022-11-23T01:32:30.8780722Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8780833Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8780932Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8781024Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8781120Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8782474Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8782564Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8782659Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8782751Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8782843Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8782934Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8783024Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8783119Z               24 CALL_METHOD              4
2022-11-23T01:32:30.8783193Z               26 RETURN_VALUE
2022-11-23T01:32:30.8783259Z  
2022-11-23T01:32:30.8783307Z 
2022-11-23T01:32:30.8783639Z [2022-11-23 01:29:07,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030
2022-11-23T01:32:30.8783862Z [2022-11-23 01:29:07,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8784175Z [2022-11-23 01:29:07,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8784478Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8784764Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8785088Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8785439Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8785744Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8786088Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8786464Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8786791Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8787167Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8787574Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8787934Z [2022-11-23 01:29:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8788184Z [2022-11-23 01:29:07,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8788560Z [2022-11-23 01:29:07,923] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029>
2022-11-23T01:32:30.8788811Z [2022-11-23 01:29:07,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8789050Z [2022-11-23 01:29:07,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8789302Z [2022-11-23 01:29:07,924] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8789610Z [2022-11-23 01:29:07,926] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8789805Z [2022-11-23 01:29:07,926] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8789947Z  __compiled_fn_373 <eval_with_key>.2304 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8790044Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8790187Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:30.8790406Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8790442Z 
2022-11-23T01:32:30.8790818Z [2022-11-23 01:29:07,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8790935Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8791039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8791727Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8791828Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8791922Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8792017Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8792099Z              12 RETURN_VALUE
2022-11-23T01:32:30.8792104Z 
2022-11-23T01:32:30.8792168Z  
2022-11-23T01:32:30.8792481Z [2022-11-23 01:29:07,927] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8792602Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_373)
2022-11-23T01:32:30.8792697Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8792795Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8792877Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8792969Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8793068Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8793145Z              12 RETURN_VALUE
2022-11-23T01:32:30.8793157Z 
2022-11-23T01:32:30.8793215Z  
2022-11-23T01:32:30.8793404Z [2022-11-23 01:29:07,927] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8793479Z  - 
2022-11-23T01:32:30.8793602Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8793671Z             {
2022-11-23T01:32:30.8793816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8794006Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8794125Z                 'obj_weakref': None
2022-11-23T01:32:30.8794358Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8794427Z             }
2022-11-23T01:32:30.8794493Z             
2022-11-23T01:32:30.8794568Z  - 
2022-11-23T01:32:30.8794695Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8794764Z             {
2022-11-23T01:32:30.8794904Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8795019Z                 'code': None,
2022-11-23T01:32:30.8795233Z                 'obj_weakref': <weakref at 0x7f1fd9b3d0d0; to 'Tensor' at 0x7f2151f00270>
2022-11-23T01:32:30.8795483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8795551Z             }
2022-11-23T01:32:30.8795619Z             
2022-11-23T01:32:30.8795694Z  - 
2022-11-23T01:32:30.8795821Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8795889Z             {
2022-11-23T01:32:30.8796028Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8796202Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8796328Z                 'obj_weakref': None
2022-11-23T01:32:30.8796558Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8796627Z             }
2022-11-23T01:32:30.8796740Z             
2022-11-23T01:32:30.8796816Z  - 
2022-11-23T01:32:30.8796941Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8797010Z             {
2022-11-23T01:32:30.8797150Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8797366Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8797490Z                 'obj_weakref': None
2022-11-23T01:32:30.8797709Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8797777Z             }
2022-11-23T01:32:30.8797844Z             
2022-11-23T01:32:30.8797941Z  - 
2022-11-23T01:32:30.8798080Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8798147Z             {
2022-11-23T01:32:30.8798266Z                 'guard_types': None,
2022-11-23T01:32:30.8798378Z                 'code': None,
2022-11-23T01:32:30.8798501Z                 'obj_weakref': None
2022-11-23T01:32:30.8798627Z                 'guarded_class': None
2022-11-23T01:32:30.8798700Z             }
2022-11-23T01:32:30.8798768Z             
2022-11-23T01:32:30.8799029Z [2022-11-23 01:29:07,931] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363
2022-11-23T01:32:30.8799277Z [2022-11-23 01:29:07,985] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8799640Z [2022-11-23 01:29:08,102] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b6/cb6tmpvmguofzvhjgqg6yfnkleprjja75iumiz4gpqw4ootmrq6c.py
2022-11-23T01:32:30.8799911Z [2022-11-23 01:29:08,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363
2022-11-23T01:32:30.8800151Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8800464Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8800688Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8800942Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8801221Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8801539Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8801890Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8802216Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8802587Z [2022-11-23 01:29:08,105] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029> 
2022-11-23T01:32:30.8802694Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8802804Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8802903Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8803003Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8803100Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8803194Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8803292Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8803379Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8803472Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8803566Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8803659Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8803785Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8803879Z               24 CALL_METHOD              4
2022-11-23T01:32:30.8803960Z               26 RETURN_VALUE
2022-11-23T01:32:30.8804019Z  
2022-11-23T01:32:30.8804025Z 
2022-11-23T01:32:30.8804345Z [2022-11-23 01:29:08,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030
2022-11-23T01:32:30.8804565Z [2022-11-23 01:29:08,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8804906Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8805173Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8805462Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8805787Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8806146Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8806452Z [2022-11-23 01:29:08,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8806795Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8807164Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8807494Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8807857Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8808257Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8808615Z [2022-11-23 01:29:08,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8808865Z [2022-11-23 01:29:08,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8809244Z [2022-11-23 01:29:08,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029>
2022-11-23T01:32:30.8809494Z [2022-11-23 01:29:08,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8809732Z [2022-11-23 01:29:08,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8809988Z [2022-11-23 01:29:08,114] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8810240Z [2022-11-23 01:29:08,116] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8810432Z [2022-11-23 01:29:08,116] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8810568Z  __compiled_fn_374 <eval_with_key>.2310 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8810694Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8810837Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:30.8810951Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8810956Z 
2022-11-23T01:32:30.8811282Z [2022-11-23 01:29:08,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8811384Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8811481Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8811626Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8811722Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8811814Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8811909Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8811992Z              12 RETURN_VALUE
2022-11-23T01:32:30.8811997Z 
2022-11-23T01:32:30.8812063Z  
2022-11-23T01:32:30.8812384Z [2022-11-23 01:29:08,116] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8812503Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_374)
2022-11-23T01:32:30.8812592Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8812689Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8812771Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8812863Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8812959Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8813049Z              12 RETURN_VALUE
2022-11-23T01:32:30.8813054Z 
2022-11-23T01:32:30.8813119Z  
2022-11-23T01:32:30.8813307Z [2022-11-23 01:29:08,117] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8813376Z  - 
2022-11-23T01:32:30.8813500Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8813570Z             {
2022-11-23T01:32:30.8813719Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8813918Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8814044Z                 'obj_weakref': None
2022-11-23T01:32:30.8814275Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8814337Z             }
2022-11-23T01:32:30.8814405Z             
2022-11-23T01:32:30.8814482Z  - 
2022-11-23T01:32:30.8814612Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8814682Z             {
2022-11-23T01:32:30.8814835Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8814944Z                 'code': None,
2022-11-23T01:32:30.8815161Z                 'obj_weakref': <weakref at 0x7f1fd9a02980; to 'Tensor' at 0x7f1fead2a660>
2022-11-23T01:32:30.8815418Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8815487Z             }
2022-11-23T01:32:30.8815558Z             
2022-11-23T01:32:30.8815633Z  - 
2022-11-23T01:32:30.8815769Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8815830Z             {
2022-11-23T01:32:30.8815972Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8816148Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8816272Z                 'obj_weakref': None
2022-11-23T01:32:30.8816505Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8816574Z             }
2022-11-23T01:32:30.8816641Z             
2022-11-23T01:32:30.8816709Z  - 
2022-11-23T01:32:30.8816842Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8816911Z             {
2022-11-23T01:32:30.8817053Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8817275Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8817399Z                 'obj_weakref': None
2022-11-23T01:32:30.8817661Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8817729Z             }
2022-11-23T01:32:30.8817790Z             
2022-11-23T01:32:30.8817864Z  - 
2022-11-23T01:32:30.8817999Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8818068Z             {
2022-11-23T01:32:30.8818194Z                 'guard_types': None,
2022-11-23T01:32:30.8818307Z                 'code': None,
2022-11-23T01:32:30.8818422Z                 'obj_weakref': None
2022-11-23T01:32:30.8818548Z                 'guarded_class': None
2022-11-23T01:32:30.8818641Z             }
2022-11-23T01:32:30.8818710Z             
2022-11-23T01:32:30.8819182Z [2022-11-23 01:29:08,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364
2022-11-23T01:32:30.8819437Z [2022-11-23 01:29:08,160] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8819443Z 
2022-11-23T01:32:30.8819546Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8819619Z import torch
2022-11-23T01:32:30.8819686Z import random
2022-11-23T01:32:30.8819810Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8819938Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8819943Z 
2022-11-23T01:32:30.8820026Z aten = torch.ops.aten
2022-11-23T01:32:30.8820166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8820263Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8820269Z 
2022-11-23T01:32:30.8820342Z import triton
2022-11-23T01:32:30.8820430Z import triton.language as tl
2022-11-23T01:32:30.8820559Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8820703Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8820709Z 
2022-11-23T01:32:30.8820714Z 
2022-11-23T01:32:30.8820880Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8820955Z import triton
2022-11-23T01:32:30.8821050Z import triton.language as tl
2022-11-23T01:32:30.8821164Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8821267Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8821395Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8821524Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8821529Z 
2022-11-23T01:32:30.8821907Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8821983Z @triton.jit
2022-11-23T01:32:30.8822120Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8822194Z     xnumel = 16
2022-11-23T01:32:30.8822292Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8822426Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8822504Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8822586Z     x1 = (xindex // 4)
2022-11-23T01:32:30.8822662Z     x0 = xindex % 4
2022-11-23T01:32:30.8822733Z     x2 = xindex
2022-11-23T01:32:30.8822844Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.8822914Z     tmp1 = 0
2022-11-23T01:32:30.8822988Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.8823058Z     tmp3 = 8
2022-11-23T01:32:30.8823136Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.8823213Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.8823322Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.8823400Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.8823480Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.8823552Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.8823631Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.8823875Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:30.8823977Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.8824052Z     tmp13 = 2*x0
2022-11-23T01:32:30.8824134Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.8824283Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.8824357Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.8824437Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.8824679Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:30.8831863Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.8831967Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.8832047Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.8832136Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.8832210Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.8832290Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.8832451Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.8832723Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0)
2022-11-23T01:32:30.8832824Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.8832907Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.8832983Z     tmp29 = 2*x1
2022-11-23T01:32:30.8833060Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.8833142Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.8833226Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.8833305Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.8833543Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0)
2022-11-23T01:32:30.8833640Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.8833727Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.8833799Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.8833965Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:30.8834063Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.8834143Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.8834224Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.8834385Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0)
2022-11-23T01:32:30.8834482Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.8834568Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.8834638Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.8834721Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.8834800Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.8834883Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.8834963Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.8835124Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0)
2022-11-23T01:32:30.8835222Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.8835295Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.8835380Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.8835539Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0)
2022-11-23T01:32:30.8835636Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.8835716Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.8835795Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.8835957Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0)
2022-11-23T01:32:30.8836050Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.8836129Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.8836211Z     tmp61 = 0.1111111111111111
2022-11-23T01:32:30.8836295Z     tmp62 = tmp60 * tmp61
2022-11-23T01:32:30.8836436Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp62, xmask)
2022-11-23T01:32:30.8836524Z ''')
2022-11-23T01:32:30.8836530Z 
2022-11-23T01:32:30.8836535Z 
2022-11-23T01:32:30.8836631Z async_compile.wait(globals())
2022-11-23T01:32:30.8836702Z del async_compile
2022-11-23T01:32:30.8836718Z 
2022-11-23T01:32:30.8836788Z def call(args):
2022-11-23T01:32:30.8836863Z     arg0_1, = args
2022-11-23T01:32:30.8836941Z     args.clear()
2022-11-23T01:32:30.8837157Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8837251Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8837442Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8837517Z     del arg0_1
2022-11-23T01:32:30.8837587Z     return (buf0, )
2022-11-23T01:32:30.8837592Z 
2022-11-23T01:32:30.8837596Z 
2022-11-23T01:32:30.8837679Z if __name__ == "__main__":
2022-11-23T01:32:30.8837801Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8837932Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8838152Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8838269Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8838301Z 
2022-11-23T01:32:30.8838670Z [2022-11-23 01:29:08,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77cfrlqsiq3bupcqzkcs4fzavpki5ozu4n24vhnzfxobe5y64ne.py
2022-11-23T01:32:30.8838938Z [2022-11-23 01:29:08,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364
2022-11-23T01:32:30.8838947Z 
2022-11-23T01:32:30.8839041Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8839118Z import torch
2022-11-23T01:32:30.8839194Z import random
2022-11-23T01:32:30.8839317Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8839443Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8839449Z 
2022-11-23T01:32:30.8839533Z aten = torch.ops.aten
2022-11-23T01:32:30.8839676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8839774Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8839779Z 
2022-11-23T01:32:30.8839848Z import triton
2022-11-23T01:32:30.8839945Z import triton.language as tl
2022-11-23T01:32:30.8840076Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8840221Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8840227Z 
2022-11-23T01:32:30.8840231Z 
2022-11-23T01:32:30.8840400Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8840478Z import triton
2022-11-23T01:32:30.8840572Z import triton.language as tl
2022-11-23T01:32:30.8840682Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8840786Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8840924Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8841053Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8841058Z 
2022-11-23T01:32:30.8841440Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8841516Z @triton.jit
2022-11-23T01:32:30.8841653Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8841730Z     xnumel = 16
2022-11-23T01:32:30.8841822Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8841955Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8842046Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8842127Z     x1 = (xindex // 4)
2022-11-23T01:32:30.8842203Z     x0 = xindex % 4
2022-11-23T01:32:30.8842276Z     x2 = xindex
2022-11-23T01:32:30.8842388Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.8842454Z     tmp1 = 0
2022-11-23T01:32:30.8842536Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.8842609Z     tmp3 = 8
2022-11-23T01:32:30.8842694Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.8842773Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.8842882Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.8842963Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.8843036Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.8843118Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.8843201Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.8843472Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:30.8843571Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.8843648Z     tmp13 = 2*x0
2022-11-23T01:32:30.8843764Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.8843838Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.8843919Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.8844000Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.8844269Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:30.8844369Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.8844453Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.8844534Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.8844607Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.8844688Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.8844794Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.8844877Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.8845142Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0).to(tl.float32)
2022-11-23T01:32:30.8845243Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.8845325Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.8845396Z     tmp29 = 2*x1
2022-11-23T01:32:30.8845476Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.8845557Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.8845638Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.8845721Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.8845976Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0).to(tl.float32)
2022-11-23T01:32:30.8846074Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.8846148Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.8846229Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.8846406Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0).to(tl.float32)
2022-11-23T01:32:30.8846503Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.8846584Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.8846665Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.8846838Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0).to(tl.float32)
2022-11-23T01:32:30.8846930Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.8847012Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.8847092Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.8847175Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.8847256Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.8847338Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.8847419Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.8847587Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0).to(tl.float32)
2022-11-23T01:32:30.8847690Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.8847775Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.8847856Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.8848025Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0).to(tl.float32)
2022-11-23T01:32:30.8848124Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.8848208Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.8848281Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.8848450Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0).to(tl.float32)
2022-11-23T01:32:30.8848547Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.8848627Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.8848709Z     tmp61 = 0.1111111111111111
2022-11-23T01:32:30.8848789Z     tmp62 = tmp60 * tmp61
2022-11-23T01:32:30.8848927Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp62, xmask)
2022-11-23T01:32:30.8849019Z ''')
2022-11-23T01:32:30.8849027Z 
2022-11-23T01:32:30.8849032Z 
2022-11-23T01:32:30.8849120Z async_compile.wait(globals())
2022-11-23T01:32:30.8849198Z del async_compile
2022-11-23T01:32:30.8849204Z 
2022-11-23T01:32:30.8849279Z def call(args):
2022-11-23T01:32:30.8849357Z     arg0_1, = args
2022-11-23T01:32:30.8849434Z     args.clear()
2022-11-23T01:32:30.8849648Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8849800Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8849944Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8850018Z     del arg0_1
2022-11-23T01:32:30.8850094Z     return (buf0, )
2022-11-23T01:32:30.8850099Z 
2022-11-23T01:32:30.8850104Z 
2022-11-23T01:32:30.8850187Z if __name__ == "__main__":
2022-11-23T01:32:30.8850309Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8850443Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8850687Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8850803Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8850808Z 
2022-11-23T01:32:30.8850873Z ok (0.362s)
2022-11-23T01:32:30.8851190Z   test_avg_pool2d4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8851513Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8851735Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8851995Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8852276Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8852597Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8852942Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8853270Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8853650Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038> 
2022-11-23T01:32:30.8853746Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8853856Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8853957Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8854058Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8854162Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8854259Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8854354Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8854451Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8854541Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8854635Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8854731Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8854827Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8854933Z               24 LOAD_CONST               4 (True)
2022-11-23T01:32:30.8855030Z               26 CALL_METHOD              5
2022-11-23T01:32:30.8855113Z               28 RETURN_VALUE
2022-11-23T01:32:30.8855173Z  
2022-11-23T01:32:30.8855178Z 
2022-11-23T01:32:30.8855500Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039
2022-11-23T01:32:30.8855722Z [2022-11-23 01:29:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8856041Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8856338Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8856631Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8856957Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8857339Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8857649Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8857991Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8858373Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8858697Z [2022-11-23 01:29:08,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8859350Z [2022-11-23 01:29:08,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8859754Z [2022-11-23 01:29:08,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8860112Z [2022-11-23 01:29:08,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8860514Z [2022-11-23 01:29:08,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.8860765Z [2022-11-23 01:29:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8861149Z [2022-11-23 01:29:08,287] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038>
2022-11-23T01:32:30.8861398Z [2022-11-23 01:29:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8861637Z [2022-11-23 01:29:08,287] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8861901Z [2022-11-23 01:29:08,288] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8862181Z [2022-11-23 01:29:08,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8862395Z [2022-11-23 01:29:08,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8862539Z  __compiled_fn_375 <eval_with_key>.2316 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8862638Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8862788Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T01:32:30.8862902Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8862908Z 
2022-11-23T01:32:30.8863231Z [2022-11-23 01:29:08,290] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8863333Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8863496Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8863583Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8863687Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8863780Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8863877Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8863962Z              12 RETURN_VALUE
2022-11-23T01:32:30.8863967Z 
2022-11-23T01:32:30.8864038Z  
2022-11-23T01:32:30.8864404Z [2022-11-23 01:29:08,290] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8864525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_375)
2022-11-23T01:32:30.8864615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8864717Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8864800Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8864897Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8864994Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8865077Z              12 RETURN_VALUE
2022-11-23T01:32:30.8865083Z 
2022-11-23T01:32:30.8865150Z  
2022-11-23T01:32:30.8865334Z [2022-11-23 01:29:08,291] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8865414Z  - 
2022-11-23T01:32:30.8865541Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8865613Z             {
2022-11-23T01:32:30.8865763Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8865962Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8866091Z                 'obj_weakref': None
2022-11-23T01:32:30.8866314Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8866388Z             }
2022-11-23T01:32:30.8866461Z             
2022-11-23T01:32:30.8866539Z  - 
2022-11-23T01:32:30.8866673Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8866744Z             {
2022-11-23T01:32:30.8866896Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8867002Z                 'code': None,
2022-11-23T01:32:30.8867222Z                 'obj_weakref': <weakref at 0x7f1fd9a468e0; to 'Tensor' at 0x7f2060187f10>
2022-11-23T01:32:30.8867478Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8867549Z             }
2022-11-23T01:32:30.8867620Z             
2022-11-23T01:32:30.8867697Z  - 
2022-11-23T01:32:30.8867838Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8867901Z             {
2022-11-23T01:32:30.8868044Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8868220Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8868346Z                 'obj_weakref': None
2022-11-23T01:32:30.8868581Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8868655Z             }
2022-11-23T01:32:30.8868726Z             
2022-11-23T01:32:30.8868795Z  - 
2022-11-23T01:32:30.8868923Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8868992Z             {
2022-11-23T01:32:30.8869138Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8869360Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8869486Z                 'obj_weakref': None
2022-11-23T01:32:30.8869719Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8869782Z             }
2022-11-23T01:32:30.8869850Z             
2022-11-23T01:32:30.8869925Z  - 
2022-11-23T01:32:30.8870063Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8870134Z             {
2022-11-23T01:32:30.8870354Z                 'guard_types': None,
2022-11-23T01:32:30.8870487Z                 'code': None,
2022-11-23T01:32:30.8870662Z                 'obj_weakref': None
2022-11-23T01:32:30.8870812Z                 'guarded_class': None
2022-11-23T01:32:30.8870896Z             }
2022-11-23T01:32:30.8870978Z             
2022-11-23T01:32:30.8871281Z [2022-11-23 01:29:08,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365
2022-11-23T01:32:30.8871538Z [2022-11-23 01:29:08,332] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8871929Z [2022-11-23 01:29:08,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f7/cf775j7e7ddwy33eubicd6t7izc4nq4ilpnuxx3dqub3r43berr4.py
2022-11-23T01:32:30.8872200Z [2022-11-23 01:29:08,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365
2022-11-23T01:32:30.8872469Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8872804Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8873034Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8873295Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8873577Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8873906Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8874255Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8874581Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8874962Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038> 
2022-11-23T01:32:30.8875068Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8875171Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.8875274Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8875372Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8875471Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8875567Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8875664Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8875758Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8875844Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8875940Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8876035Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.8876128Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8876228Z               24 LOAD_CONST               4 (True)
2022-11-23T01:32:30.8876328Z               26 CALL_METHOD              5
2022-11-23T01:32:30.8876411Z               28 RETURN_VALUE
2022-11-23T01:32:30.8876471Z  
2022-11-23T01:32:30.8876483Z 
2022-11-23T01:32:30.8876793Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039
2022-11-23T01:32:30.8877025Z [2022-11-23 01:29:08,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8877340Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8877607Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8877965Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8878299Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8878657Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8878992Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8879338Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8879724Z [2022-11-23 01:29:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8880063Z [2022-11-23 01:29:08,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8880427Z [2022-11-23 01:29:08,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8880827Z [2022-11-23 01:29:08,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8881193Z [2022-11-23 01:29:08,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8881601Z [2022-11-23 01:29:08,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.8881892Z [2022-11-23 01:29:08,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8882282Z [2022-11-23 01:29:08,461] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038>
2022-11-23T01:32:30.8882536Z [2022-11-23 01:29:08,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8882778Z [2022-11-23 01:29:08,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8883039Z [2022-11-23 01:29:08,462] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8883295Z [2022-11-23 01:29:08,464] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8883493Z [2022-11-23 01:29:08,464] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8883630Z  __compiled_fn_376 <eval_with_key>.2322 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8883727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8883876Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T01:32:30.8883996Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8884002Z 
2022-11-23T01:32:30.8884334Z [2022-11-23 01:29:08,464] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8884435Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8884533Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8884661Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8884755Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8884849Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8884946Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8885029Z              12 RETURN_VALUE
2022-11-23T01:32:30.8885034Z 
2022-11-23T01:32:30.8885102Z  
2022-11-23T01:32:30.8885424Z [2022-11-23 01:29:08,464] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8885576Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_376)
2022-11-23T01:32:30.8885675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8885766Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8885849Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8885945Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8886043Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8886127Z              12 RETURN_VALUE
2022-11-23T01:32:30.8886133Z 
2022-11-23T01:32:30.8886199Z  
2022-11-23T01:32:30.8886389Z [2022-11-23 01:29:08,465] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8886459Z  - 
2022-11-23T01:32:30.8886586Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8886657Z             {
2022-11-23T01:32:30.8886806Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8886999Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8887130Z                 'obj_weakref': None
2022-11-23T01:32:30.8887357Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8887421Z             }
2022-11-23T01:32:30.8887492Z             
2022-11-23T01:32:30.8887572Z  - 
2022-11-23T01:32:30.8887704Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8887773Z             {
2022-11-23T01:32:30.8887927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8888041Z                 'code': None,
2022-11-23T01:32:30.8888254Z                 'obj_weakref': <weakref at 0x7f1fd9bcc310; to 'Tensor' at 0x7f1fe81b7ab0>
2022-11-23T01:32:30.8888506Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8888579Z             }
2022-11-23T01:32:30.8888649Z             
2022-11-23T01:32:30.8888725Z  - 
2022-11-23T01:32:30.8888864Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8888933Z             {
2022-11-23T01:32:30.8889071Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8889253Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8889379Z                 'obj_weakref': None
2022-11-23T01:32:30.8889613Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8889685Z             }
2022-11-23T01:32:30.8889755Z             
2022-11-23T01:32:30.8889831Z  - 
2022-11-23T01:32:30.8889951Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8890020Z             {
2022-11-23T01:32:30.8890162Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8890380Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8890506Z                 'obj_weakref': None
2022-11-23T01:32:30.8890732Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8890803Z             }
2022-11-23T01:32:30.8890868Z             
2022-11-23T01:32:30.8890947Z  - 
2022-11-23T01:32:30.8891087Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8891159Z             {
2022-11-23T01:32:30.8891286Z                 'guard_types': None,
2022-11-23T01:32:30.8891399Z                 'code': None,
2022-11-23T01:32:30.8891523Z                 'obj_weakref': None
2022-11-23T01:32:30.8891682Z                 'guarded_class': None
2022-11-23T01:32:30.8891751Z             }
2022-11-23T01:32:30.8891820Z             
2022-11-23T01:32:30.8892086Z [2022-11-23 01:29:08,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366
2022-11-23T01:32:30.8892339Z [2022-11-23 01:29:08,483] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8892706Z [2022-11-23 01:29:08,609] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sz/cszpqmew34zdmjqanvncj5fpzwsshjfzoiavc5pywx5nubitcs4x.py
2022-11-23T01:32:30.8892996Z [2022-11-23 01:29:08,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366
2022-11-23T01:32:30.8893003Z 
2022-11-23T01:32:30.8893103Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8893171Z import torch
2022-11-23T01:32:30.8893248Z import random
2022-11-23T01:32:30.8893373Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8893505Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8893510Z 
2022-11-23T01:32:30.8893595Z aten = torch.ops.aten
2022-11-23T01:32:30.8893736Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8893836Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8893841Z 
2022-11-23T01:32:30.8893909Z import triton
2022-11-23T01:32:30.8894003Z import triton.language as tl
2022-11-23T01:32:30.8894133Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8894279Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8894285Z 
2022-11-23T01:32:30.8894292Z 
2022-11-23T01:32:30.8894462Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8894544Z import triton
2022-11-23T01:32:30.8894639Z import triton.language as tl
2022-11-23T01:32:30.8894756Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8894853Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8894990Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8895122Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8895127Z 
2022-11-23T01:32:30.8895513Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8895591Z @triton.jit
2022-11-23T01:32:30.8895728Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8895805Z     xnumel = 48400
2022-11-23T01:32:30.8895906Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8896036Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8896123Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8896201Z     x0 = xindex % 55
2022-11-23T01:32:30.8896287Z     x1 = (xindex // 55) % 55
2022-11-23T01:32:30.8896371Z     x2 = (xindex // 3025)
2022-11-23T01:32:30.8896446Z     x3 = xindex
2022-11-23T01:32:30.8896573Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8896689Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8896812Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8896935Z     tmp5 = tl.load(in_ptr0 + (111 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897060Z     tmp7 = tl.load(in_ptr0 + (112 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897176Z     tmp9 = tl.load(in_ptr0 + (113 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897302Z     tmp11 = tl.load(in_ptr0 + (222 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897426Z     tmp13 = tl.load(in_ptr0 + (223 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897536Z     tmp15 = tl.load(in_ptr0 + (224 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:30.8897618Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8897698Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8897809Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8897889Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8897970Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8898053Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8898128Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8898212Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8898295Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8898378Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8898521Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8898610Z ''')
2022-11-23T01:32:30.8898616Z 
2022-11-23T01:32:30.8898621Z 
2022-11-23T01:32:30.8898743Z async_compile.wait(globals())
2022-11-23T01:32:30.8899103Z del async_compile
2022-11-23T01:32:30.8899108Z 
2022-11-23T01:32:30.8899180Z def call(args):
2022-11-23T01:32:30.8899257Z     arg0_1, = args
2022-11-23T01:32:30.8899336Z     args.clear()
2022-11-23T01:32:30.8899570Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8899667Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8899819Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 48400, grid=grid(48400), stream=stream0)
2022-11-23T01:32:30.8899894Z     del arg0_1
2022-11-23T01:32:30.8899963Z     return (buf0, )
2022-11-23T01:32:30.8899969Z 
2022-11-23T01:32:30.8899973Z 
2022-11-23T01:32:30.8900055Z if __name__ == "__main__":
2022-11-23T01:32:30.8900176Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8900307Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8900550Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8900666Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8900671Z 
2022-11-23T01:32:30.8900675Z 
2022-11-23T01:32:30.8900780Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8900856Z import torch
2022-11-23T01:32:30.8900925Z import random
2022-11-23T01:32:30.8901053Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8901180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8901185Z 
2022-11-23T01:32:30.8901270Z aten = torch.ops.aten
2022-11-23T01:32:30.8901410Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8901509Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8901514Z 
2022-11-23T01:32:30.8901591Z import triton
2022-11-23T01:32:30.8901687Z import triton.language as tl
2022-11-23T01:32:30.8901808Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8901956Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8901962Z 
2022-11-23T01:32:30.8901966Z 
2022-11-23T01:32:30.8902134Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8902212Z import triton
2022-11-23T01:32:30.8902308Z import triton.language as tl
2022-11-23T01:32:30.8902426Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8902530Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8902662Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8902791Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8902796Z 
2022-11-23T01:32:30.8903175Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8903251Z @triton.jit
2022-11-23T01:32:30.8903386Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8903464Z     xnumel = 48400
2022-11-23T01:32:30.8903568Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8903700Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8903778Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8903855Z     x0 = xindex % 55
2022-11-23T01:32:30.8903939Z     x1 = (xindex // 55) % 55
2022-11-23T01:32:30.8904020Z     x2 = (xindex // 3025)
2022-11-23T01:32:30.8904220Z     x3 = xindex
2022-11-23T01:32:30.8904360Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8904497Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8904627Z     tmp3 = tl.load(in_ptr0 + (2 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8904767Z     tmp5 = tl.load(in_ptr0 + (111 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8904905Z     tmp7 = tl.load(in_ptr0 + (112 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8905072Z     tmp9 = tl.load(in_ptr0 + (113 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8905212Z     tmp11 = tl.load(in_ptr0 + (222 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8905349Z     tmp13 = tl.load(in_ptr0 + (223 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8905486Z     tmp15 = tl.load(in_ptr0 + (224 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.8905568Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:30.8905641Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:30.8905720Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:30.8905799Z     tmp8 = tmp7 + tmp6
2022-11-23T01:32:30.8905880Z     tmp10 = tmp9 + tmp8
2022-11-23T01:32:30.8905963Z     tmp12 = tmp11 + tmp10
2022-11-23T01:32:30.8906044Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:30.8906127Z     tmp16 = tmp15 + tmp14
2022-11-23T01:32:30.8906202Z     tmp17 = 0.1111111111111111
2022-11-23T01:32:30.8906284Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:30.8906429Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:30.8906524Z ''')
2022-11-23T01:32:30.8906529Z 
2022-11-23T01:32:30.8906534Z 
2022-11-23T01:32:30.8906628Z async_compile.wait(globals())
2022-11-23T01:32:30.8906707Z del async_compile
2022-11-23T01:32:30.8906712Z 
2022-11-23T01:32:30.8906787Z def call(args):
2022-11-23T01:32:30.8906867Z     arg0_1, = args
2022-11-23T01:32:30.8906937Z     args.clear()
2022-11-23T01:32:30.8907169Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8907262Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8907412Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 48400, grid=grid(48400), stream=stream0)
2022-11-23T01:32:30.8907490Z     del arg0_1
2022-11-23T01:32:30.8907567Z     return (buf0, )
2022-11-23T01:32:30.8907572Z 
2022-11-23T01:32:30.8907577Z 
2022-11-23T01:32:30.8907658Z if __name__ == "__main__":
2022-11-23T01:32:30.8907774Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8907906Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8908140Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8908254Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8908260Z 
2022-11-23T01:32:30.8908334Z ok (0.336s)
2022-11-23T01:32:30.8908654Z   test_avg_pool2d5_cuda (__main__.CudaTests) ... [2022-11-23 01:29:08,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8908978Z [2022-11-23 01:29:08,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8909200Z [2022-11-23 01:29:08,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8909460Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8909741Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8910064Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8910573Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8910902Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8911282Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047> 
2022-11-23T01:32:30.8911386Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8911537Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:30.8911638Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8911736Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8911825Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8911922Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8912018Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8912112Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8912205Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8912297Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8912392Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8912477Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8912577Z               24 LOAD_CONST               4 (False)
2022-11-23T01:32:30.8912754Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T01:32:30.8912857Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8912940Z               30 RETURN_VALUE
2022-11-23T01:32:30.8913006Z  
2022-11-23T01:32:30.8913011Z 
2022-11-23T01:32:30.8913334Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048
2022-11-23T01:32:30.8913561Z [2022-11-23 01:29:08,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8913873Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8914137Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8914431Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8914765Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8915126Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8915442Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8915789Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8916171Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8916507Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8916875Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8917317Z [2022-11-23 01:29:08,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8917683Z [2022-11-23 01:29:08,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8918138Z [2022-11-23 01:29:08,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.8918578Z [2022-11-23 01:29:08,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.8918822Z [2022-11-23 01:29:08,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8919206Z [2022-11-23 01:29:08,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047>
2022-11-23T01:32:30.8919458Z [2022-11-23 01:29:08,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8919701Z [2022-11-23 01:29:08,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8919966Z [2022-11-23 01:29:08,623] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8920223Z [2022-11-23 01:29:08,625] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8920416Z [2022-11-23 01:29:08,625] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8920559Z  __compiled_fn_377 <eval_with_key>.2328 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8920658Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8920894Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T01:32:30.8921007Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8921013Z 
2022-11-23T01:32:30.8921344Z [2022-11-23 01:29:08,625] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8921446Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8921548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8921646Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8921747Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8921839Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8921926Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8922011Z              12 RETURN_VALUE
2022-11-23T01:32:30.8922016Z 
2022-11-23T01:32:30.8922082Z  
2022-11-23T01:32:30.8922416Z [2022-11-23 01:29:08,625] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8922536Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_377)
2022-11-23T01:32:30.8922632Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8922728Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8922811Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8922897Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8922995Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8923076Z              12 RETURN_VALUE
2022-11-23T01:32:30.8923081Z 
2022-11-23T01:32:30.8923148Z  
2022-11-23T01:32:30.8923339Z [2022-11-23 01:29:08,626] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8923415Z  - 
2022-11-23T01:32:30.8923540Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8923695Z             {
2022-11-23T01:32:30.8923846Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8924042Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8924169Z                 'obj_weakref': None
2022-11-23T01:32:30.8924402Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8924474Z             }
2022-11-23T01:32:30.8924541Z             
2022-11-23T01:32:30.8924609Z  - 
2022-11-23T01:32:30.8924739Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8924829Z             {
2022-11-23T01:32:30.8924981Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8925094Z                 'code': None,
2022-11-23T01:32:30.8925316Z                 'obj_weakref': <weakref at 0x7f1fd9a8cef0; to 'Tensor' at 0x7f1fead36200>
2022-11-23T01:32:30.8925573Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8925638Z             }
2022-11-23T01:32:30.8925707Z             
2022-11-23T01:32:30.8925782Z  - 
2022-11-23T01:32:30.8925920Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8925989Z             {
2022-11-23T01:32:30.8926131Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8926305Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8926422Z                 'obj_weakref': None
2022-11-23T01:32:30.8926655Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8926733Z             }
2022-11-23T01:32:30.8926803Z             
2022-11-23T01:32:30.8926879Z  - 
2022-11-23T01:32:30.8927008Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8927079Z             {
2022-11-23T01:32:30.8927213Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8927436Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8927561Z                 'obj_weakref': None
2022-11-23T01:32:30.8927789Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8927858Z             }
2022-11-23T01:32:30.8927926Z             
2022-11-23T01:32:30.8928002Z  - 
2022-11-23T01:32:30.8928131Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8928199Z             {
2022-11-23T01:32:30.8928327Z                 'guard_types': None,
2022-11-23T01:32:30.8928440Z                 'code': None,
2022-11-23T01:32:30.8928566Z                 'obj_weakref': None
2022-11-23T01:32:30.8928695Z                 'guarded_class': None
2022-11-23T01:32:30.8928764Z             }
2022-11-23T01:32:30.8928825Z             
2022-11-23T01:32:30.8929091Z [2022-11-23 01:29:08,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367
2022-11-23T01:32:30.8929345Z [2022-11-23 01:29:08,841] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8929713Z [2022-11-23 01:29:08,974] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sb/csb7inthjnvtxu3wduikb6iksb7bjdq4alg2tcwbmem7xxq74nne.py
2022-11-23T01:32:30.8929982Z [2022-11-23 01:29:08,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367
2022-11-23T01:32:30.8930225Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8930549Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8930772Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8931020Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8931298Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8931655Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8932002Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8932324Z [2022-11-23 01:29:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8932722Z [2022-11-23 01:29:08,978] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047> 
2022-11-23T01:32:30.8932828Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8932937Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:30.8933039Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8933136Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8933225Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8933324Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8933422Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8933515Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8933606Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8933699Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8933796Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8933881Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8933981Z               24 LOAD_CONST               4 (False)
2022-11-23T01:32:30.8934161Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T01:32:30.8934257Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8934342Z               30 RETURN_VALUE
2022-11-23T01:32:30.8934408Z  
2022-11-23T01:32:30.8934413Z 
2022-11-23T01:32:30.8934726Z [2022-11-23 01:29:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048
2022-11-23T01:32:30.8934951Z [2022-11-23 01:29:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8935261Z [2022-11-23 01:29:08,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8935521Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8935816Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8936139Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8936497Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8936800Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8937151Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8937531Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8937868Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8938270Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8938665Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8939409Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8939840Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.8940280Z [2022-11-23 01:29:08,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:30.8940529Z [2022-11-23 01:29:08,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8940910Z [2022-11-23 01:29:08,985] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047>
2022-11-23T01:32:30.8941160Z [2022-11-23 01:29:08,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8941402Z [2022-11-23 01:29:08,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8941661Z [2022-11-23 01:29:08,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8941917Z [2022-11-23 01:29:08,988] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8942114Z [2022-11-23 01:29:08,988] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8942256Z  __compiled_fn_378 <eval_with_key>.2334 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8942344Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8942586Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T01:32:30.8942700Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8942709Z 
2022-11-23T01:32:30.8943041Z [2022-11-23 01:29:08,989] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8943143Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8943241Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8943338Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8943438Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8943523Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8943625Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8943706Z              12 RETURN_VALUE
2022-11-23T01:32:30.8943712Z 
2022-11-23T01:32:30.8943777Z  
2022-11-23T01:32:30.8944101Z [2022-11-23 01:29:08,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8944223Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_378)
2022-11-23T01:32:30.8944322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8944421Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8944497Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8944589Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8944687Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8944816Z              12 RETURN_VALUE
2022-11-23T01:32:30.8944822Z 
2022-11-23T01:32:30.8944891Z  
2022-11-23T01:32:30.8945083Z [2022-11-23 01:29:08,989] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8945161Z  - 
2022-11-23T01:32:30.8945279Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8945354Z             {
2022-11-23T01:32:30.8945502Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8945696Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8945823Z                 'obj_weakref': None
2022-11-23T01:32:30.8946079Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8946151Z             }
2022-11-23T01:32:30.8946213Z             
2022-11-23T01:32:30.8946288Z  - 
2022-11-23T01:32:30.8946419Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8946488Z             {
2022-11-23T01:32:30.8946637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8946755Z                 'code': None,
2022-11-23T01:32:30.8946976Z                 'obj_weakref': <weakref at 0x7f1ff8148db0; to 'Tensor' at 0x7f1fd9bcdf80>
2022-11-23T01:32:30.8947223Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8947293Z             }
2022-11-23T01:32:30.8947363Z             
2022-11-23T01:32:30.8947438Z  - 
2022-11-23T01:32:30.8947574Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8947642Z             {
2022-11-23T01:32:30.8947787Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8947954Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8948078Z                 'obj_weakref': None
2022-11-23T01:32:30.8948310Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8948379Z             }
2022-11-23T01:32:30.8948449Z             
2022-11-23T01:32:30.8948525Z  - 
2022-11-23T01:32:30.8948653Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8948714Z             {
2022-11-23T01:32:30.8948857Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8949076Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8949200Z                 'obj_weakref': None
2022-11-23T01:32:30.8949425Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8949497Z             }
2022-11-23T01:32:30.8949567Z             
2022-11-23T01:32:30.8949637Z  - 
2022-11-23T01:32:30.8949773Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8949842Z             {
2022-11-23T01:32:30.8949973Z                 'guard_types': None,
2022-11-23T01:32:30.8950086Z                 'code': None,
2022-11-23T01:32:30.8950209Z                 'obj_weakref': None
2022-11-23T01:32:30.8950440Z                 'guarded_class': None
2022-11-23T01:32:30.8950518Z             }
2022-11-23T01:32:30.8950599Z             
2022-11-23T01:32:30.8950895Z [2022-11-23 01:29:08,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368
2022-11-23T01:32:30.8951145Z [2022-11-23 01:29:09,063] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.8951151Z 
2022-11-23T01:32:30.8951251Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8951325Z import torch
2022-11-23T01:32:30.8951400Z import random
2022-11-23T01:32:30.8951514Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8951647Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8951652Z 
2022-11-23T01:32:30.8951737Z aten = torch.ops.aten
2022-11-23T01:32:30.8951878Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8951979Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8951985Z 
2022-11-23T01:32:30.8952070Z import triton
2022-11-23T01:32:30.8952215Z import triton.language as tl
2022-11-23T01:32:30.8952365Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8952501Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8952507Z 
2022-11-23T01:32:30.8952520Z 
2022-11-23T01:32:30.8952681Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8952756Z import triton
2022-11-23T01:32:30.8952849Z import triton.language as tl
2022-11-23T01:32:30.8952967Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8953072Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8953229Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8953361Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8953367Z 
2022-11-23T01:32:30.8953743Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8953824Z @triton.jit
2022-11-23T01:32:30.8953959Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8954034Z     xnumel = 16
2022-11-23T01:32:30.8954135Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8954267Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8954352Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8954425Z     x1 = (xindex // 4)
2022-11-23T01:32:30.8954500Z     x0 = xindex % 4
2022-11-23T01:32:30.8954576Z     x2 = xindex
2022-11-23T01:32:30.8954689Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.8954763Z     tmp1 = 0
2022-11-23T01:32:30.8954843Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.8954914Z     tmp3 = 8
2022-11-23T01:32:30.8954985Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.8955065Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.8955175Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.8955255Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.8955334Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.8955414Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.8955493Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.8955736Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:30.8955838Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.8955914Z     tmp13 = 2*x0
2022-11-23T01:32:30.8955996Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.8956076Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.8956157Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.8956237Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.8956479Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:30.8956578Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.8956657Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.8956732Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.8956814Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.8956893Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.8956976Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.8957048Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.8957291Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0)
2022-11-23T01:32:30.8957389Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.8957468Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.8957541Z     tmp29 = 2*x1
2022-11-23T01:32:30.8957619Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.8957699Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.8957770Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.8957852Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.8958092Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0)
2022-11-23T01:32:30.8958190Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.8958270Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.8958350Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.8958512Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:30.8958631Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.8958709Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.8958788Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.8958949Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0)
2022-11-23T01:32:30.8959045Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.8959125Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.8959200Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.8959272Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.8959350Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.8959452Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.8959535Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.8959696Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0)
2022-11-23T01:32:30.8959793Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.8959871Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.8959945Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.8960106Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0)
2022-11-23T01:32:30.8960202Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.8960281Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.8960362Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.8960520Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0)
2022-11-23T01:32:30.8960616Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.8960689Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.8960763Z     tmp61 = 1
2022-11-23T01:32:30.8960858Z     tmp62 = tl.where(tmp10, tmp61, 0.0)
2022-11-23T01:32:30.8960932Z     tmp63 = 1
2022-11-23T01:32:30.8961030Z     tmp64 = tl.where(tmp17, tmp63, 0.0)
2022-11-23T01:32:30.8961110Z     tmp65 = tmp64 + tmp62
2022-11-23T01:32:30.8961180Z     tmp66 = 1
2022-11-23T01:32:30.8961267Z     tmp67 = tl.where(tmp25, tmp66, 0.0)
2022-11-23T01:32:30.8961352Z     tmp68 = tmp67 + tmp65
2022-11-23T01:32:30.8961425Z     tmp69 = 1
2022-11-23T01:32:30.8961518Z     tmp70 = tl.where(tmp33, tmp69, 0.0)
2022-11-23T01:32:30.8961598Z     tmp71 = tmp70 + tmp68
2022-11-23T01:32:30.8961670Z     tmp72 = 1
2022-11-23T01:32:30.8961764Z     tmp73 = tl.where(tmp37, tmp72, 0.0)
2022-11-23T01:32:30.8961836Z     tmp74 = tmp73 + tmp71
2022-11-23T01:32:30.8961910Z     tmp75 = 1
2022-11-23T01:32:30.8962005Z     tmp76 = tl.where(tmp41, tmp75, 0.0)
2022-11-23T01:32:30.8962086Z     tmp77 = tmp76 + tmp74
2022-11-23T01:32:30.8962157Z     tmp78 = 1
2022-11-23T01:32:30.8962253Z     tmp79 = tl.where(tmp49, tmp78, 0.0)
2022-11-23T01:32:30.8962326Z     tmp80 = tmp79 + tmp77
2022-11-23T01:32:30.8962399Z     tmp81 = 1
2022-11-23T01:32:30.8962493Z     tmp82 = tl.where(tmp53, tmp81, 0.0)
2022-11-23T01:32:30.8962572Z     tmp83 = tmp82 + tmp80
2022-11-23T01:32:30.8962645Z     tmp84 = 1
2022-11-23T01:32:30.8962738Z     tmp85 = tl.where(tmp57, tmp84, 0.0)
2022-11-23T01:32:30.8962821Z     tmp86 = tmp85 + tmp83
2022-11-23T01:32:30.8962892Z     tmp87 = tmp60 / tmp86
2022-11-23T01:32:30.8963031Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp87, xmask)
2022-11-23T01:32:30.8963122Z ''')
2022-11-23T01:32:30.8963129Z 
2022-11-23T01:32:30.8963133Z 
2022-11-23T01:32:30.8963228Z async_compile.wait(globals())
2022-11-23T01:32:30.8963305Z del async_compile
2022-11-23T01:32:30.8963310Z 
2022-11-23T01:32:30.8963385Z def call(args):
2022-11-23T01:32:30.8963460Z     arg0_1, = args
2022-11-23T01:32:30.8963538Z     args.clear()
2022-11-23T01:32:30.8963756Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8963849Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8963999Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8964072Z     del arg0_1
2022-11-23T01:32:30.8964150Z     return (buf0, )
2022-11-23T01:32:30.8964155Z 
2022-11-23T01:32:30.8964159Z 
2022-11-23T01:32:30.8964272Z if __name__ == "__main__":
2022-11-23T01:32:30.8964394Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8964516Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8964736Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.8964851Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8964856Z 
2022-11-23T01:32:30.8965227Z [2022-11-23 01:29:09,194] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chdxf6inyypa53r4fk7jpiudg2j7bux2aola7szsg5q5gc3776gh.py
2022-11-23T01:32:30.8965523Z [2022-11-23 01:29:09,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368
2022-11-23T01:32:30.8965529Z 
2022-11-23T01:32:30.8965630Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.8965706Z import torch
2022-11-23T01:32:30.8965783Z import random
2022-11-23T01:32:30.8965905Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.8966027Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.8966032Z 
2022-11-23T01:32:30.8966117Z aten = torch.ops.aten
2022-11-23T01:32:30.8966258Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.8966356Z async_compile = AsyncCompile()
2022-11-23T01:32:30.8966361Z 
2022-11-23T01:32:30.8966436Z import triton
2022-11-23T01:32:30.8966529Z import triton.language as tl
2022-11-23T01:32:30.8966658Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.8966795Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.8966809Z 
2022-11-23T01:32:30.8966816Z 
2022-11-23T01:32:30.8966976Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.8967051Z import triton
2022-11-23T01:32:30.8967144Z import triton.language as tl
2022-11-23T01:32:30.8967259Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.8967363Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.8967502Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.8967635Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.8967640Z 
2022-11-23T01:32:30.8968008Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.8968084Z @triton.jit
2022-11-23T01:32:30.8968220Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.8968297Z     xnumel = 16
2022-11-23T01:32:30.8968401Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.8968535Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.8968622Z     xmask = xindex < xnumel
2022-11-23T01:32:30.8968703Z     x1 = (xindex // 4)
2022-11-23T01:32:30.8968771Z     x0 = xindex % 4
2022-11-23T01:32:30.8968847Z     x2 = xindex
2022-11-23T01:32:30.8968964Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.8969039Z     tmp1 = 0
2022-11-23T01:32:30.8969119Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.8969192Z     tmp3 = 8
2022-11-23T01:32:30.8969263Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.8969344Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.8969453Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.8969535Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.8969613Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.8969690Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.8969770Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.8970037Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:30.8970137Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.8970212Z     tmp13 = 2*x0
2022-11-23T01:32:30.8970294Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.8970375Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.8970459Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.8970539Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.8970853Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:30.8970954Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.8971035Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.8971112Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.8971191Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.8971275Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.8971355Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.8971427Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.8971717Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0).to(tl.float32)
2022-11-23T01:32:30.8971817Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.8971898Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.8971972Z     tmp29 = 2*x1
2022-11-23T01:32:30.8972054Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.8972132Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.8972203Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.8972286Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.8972543Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0).to(tl.float32)
2022-11-23T01:32:30.8972640Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.8972719Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.8972799Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.8972974Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0).to(tl.float32)
2022-11-23T01:32:30.8973062Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.8973145Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.8973230Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.8973399Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0).to(tl.float32)
2022-11-23T01:32:30.8973496Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.8973580Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.8973656Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.8973731Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.8973809Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.8973887Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.8973967Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.8974143Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0).to(tl.float32)
2022-11-23T01:32:30.8974242Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.8974323Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.8974395Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.8974568Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0).to(tl.float32)
2022-11-23T01:32:30.8974665Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.8974745Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.8974825Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.8974997Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0).to(tl.float32)
2022-11-23T01:32:30.8975096Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.8975176Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.8975240Z     tmp61 = 1
2022-11-23T01:32:30.8975334Z     tmp62 = tl.where(tmp10, tmp61, 0.0)
2022-11-23T01:32:30.8975405Z     tmp63 = 1
2022-11-23T01:32:30.8975500Z     tmp64 = tl.where(tmp17, tmp63, 0.0)
2022-11-23T01:32:30.8975581Z     tmp65 = tmp64 + tmp62
2022-11-23T01:32:30.8975652Z     tmp66 = 1
2022-11-23T01:32:30.8975747Z     tmp67 = tl.where(tmp25, tmp66, 0.0)
2022-11-23T01:32:30.8975819Z     tmp68 = tmp67 + tmp65
2022-11-23T01:32:30.8975890Z     tmp69 = 1
2022-11-23T01:32:30.8975987Z     tmp70 = tl.where(tmp33, tmp69, 0.0)
2022-11-23T01:32:30.8976066Z     tmp71 = tmp70 + tmp68
2022-11-23T01:32:30.8976139Z     tmp72 = 1
2022-11-23T01:32:30.8976233Z     tmp73 = tl.where(tmp37, tmp72, 0.0)
2022-11-23T01:32:30.8976305Z     tmp74 = tmp73 + tmp71
2022-11-23T01:32:30.8976376Z     tmp75 = 1
2022-11-23T01:32:30.8976469Z     tmp76 = tl.where(tmp41, tmp75, 0.0)
2022-11-23T01:32:30.8976579Z     tmp77 = tmp76 + tmp74
2022-11-23T01:32:30.8976651Z     tmp78 = 1
2022-11-23T01:32:30.8976746Z     tmp79 = tl.where(tmp49, tmp78, 0.0)
2022-11-23T01:32:30.8976826Z     tmp80 = tmp79 + tmp77
2022-11-23T01:32:30.8976890Z     tmp81 = 1
2022-11-23T01:32:30.8976989Z     tmp82 = tl.where(tmp53, tmp81, 0.0)
2022-11-23T01:32:30.8977071Z     tmp83 = tmp82 + tmp80
2022-11-23T01:32:30.8977146Z     tmp84 = 1
2022-11-23T01:32:30.8977240Z     tmp85 = tl.where(tmp57, tmp84, 0.0)
2022-11-23T01:32:30.8977320Z     tmp86 = tmp85 + tmp83
2022-11-23T01:32:30.8977399Z     tmp87 = tmp60 / tmp86
2022-11-23T01:32:30.8977576Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp87, xmask)
2022-11-23T01:32:30.8977668Z ''')
2022-11-23T01:32:30.8977674Z 
2022-11-23T01:32:30.8977679Z 
2022-11-23T01:32:30.8977777Z async_compile.wait(globals())
2022-11-23T01:32:30.8977855Z del async_compile
2022-11-23T01:32:30.8977860Z 
2022-11-23T01:32:30.8977935Z def call(args):
2022-11-23T01:32:30.8978011Z     arg0_1, = args
2022-11-23T01:32:30.8978089Z     args.clear()
2022-11-23T01:32:30.8978300Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8978391Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.8978543Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.8978619Z     del arg0_1
2022-11-23T01:32:30.8978698Z     return (buf0, )
2022-11-23T01:32:30.8978703Z 
2022-11-23T01:32:30.8978707Z 
2022-11-23T01:32:30.8979071Z if __name__ == "__main__":
2022-11-23T01:32:30.8979194Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.8979327Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.8979541Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.8979656Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.8979661Z 
2022-11-23T01:32:30.8979734Z ok (0.585s)
2022-11-23T01:32:30.8980058Z   test_avg_pool2d6_cuda (__main__.CudaTests) ... [2022-11-23 01:29:09,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.8980383Z [2022-11-23 01:29:09,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.8980605Z [2022-11-23 01:29:09,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.8980864Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.8981149Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.8981471Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8981820Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8982174Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.8982572Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056> 
2022-11-23T01:32:30.8982675Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.8982786Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:30.8982885Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.8982982Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8983077Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8983170Z               10 BUILD_LIST               2
2022-11-23T01:32:30.8983257Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8983442Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.8983535Z               16 BUILD_LIST               2
2022-11-23T01:32:30.8983628Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8983721Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.8983814Z               22 BUILD_LIST               2
2022-11-23T01:32:30.8983907Z               24 LOAD_CONST               1 (3)
2022-11-23T01:32:30.8984079Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T01:32:30.8984214Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.8984298Z               30 RETURN_VALUE
2022-11-23T01:32:30.8984365Z  
2022-11-23T01:32:30.8984371Z 
2022-11-23T01:32:30.8984695Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057
2022-11-23T01:32:30.8984918Z [2022-11-23 01:29:09,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.8985241Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.8985507Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.8985800Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.8986124Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8986480Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8986788Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.8987134Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8987511Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8987849Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8988216Z [2022-11-23 01:29:09,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8988613Z [2022-11-23 01:29:09,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.8988966Z [2022-11-23 01:29:09,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.8989387Z [2022-11-23 01:29:09,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.8989828Z [2022-11-23 01:29:09,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.8990083Z [2022-11-23 01:29:09,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8990598Z [2022-11-23 01:29:09,207] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056>
2022-11-23T01:32:30.8990866Z [2022-11-23 01:29:09,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.8991108Z [2022-11-23 01:29:09,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.8991397Z [2022-11-23 01:29:09,208] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.8991654Z [2022-11-23 01:29:09,210] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.8991850Z [2022-11-23 01:29:09,210] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.8991992Z  __compiled_fn_379 <eval_with_key>.2340 opcode, name, target, args, kwargs
2022-11-23T01:32:30.8992091Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.8992330Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T01:32:30.8992444Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.8992450Z 
2022-11-23T01:32:30.8992773Z [2022-11-23 01:29:09,210] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8992875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.8992971Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8993069Z               4 BUILD_MAP                0
2022-11-23T01:32:30.8993169Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.8993262Z               8 DICT_MERGE               1
2022-11-23T01:32:30.8993357Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.8993432Z              12 RETURN_VALUE
2022-11-23T01:32:30.8993447Z 
2022-11-23T01:32:30.8993509Z  
2022-11-23T01:32:30.8993835Z [2022-11-23 01:29:09,210] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.8993953Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_379)
2022-11-23T01:32:30.8994049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.8994146Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.8994228Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.8994322Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.8994411Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.8994498Z              12 RETURN_VALUE
2022-11-23T01:32:30.8994504Z 
2022-11-23T01:32:30.8994570Z  
2022-11-23T01:32:30.8994762Z [2022-11-23 01:29:09,211] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.8994839Z  - 
2022-11-23T01:32:30.8994964Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.8995033Z             {
2022-11-23T01:32:30.8995175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.8995370Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.8995495Z                 'obj_weakref': None
2022-11-23T01:32:30.8995725Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.8995795Z             }
2022-11-23T01:32:30.8995863Z             
2022-11-23T01:32:30.8995939Z  - 
2022-11-23T01:32:30.8996062Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.8996131Z             {
2022-11-23T01:32:30.8996283Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.8996396Z                 'code': None,
2022-11-23T01:32:30.8996613Z                 'obj_weakref': <weakref at 0x7f1fd9a8e8e0; to 'Tensor' at 0x7f2000fe5030>
2022-11-23T01:32:30.8996870Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.8996978Z             }
2022-11-23T01:32:30.8997039Z             
2022-11-23T01:32:30.8997116Z  - 
2022-11-23T01:32:30.8997254Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.8997322Z             {
2022-11-23T01:32:30.8997465Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.8997644Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.8997769Z                 'obj_weakref': None
2022-11-23T01:32:30.8997998Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.8998069Z             }
2022-11-23T01:32:30.8998139Z             
2022-11-23T01:32:30.8998240Z  - 
2022-11-23T01:32:30.8998368Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.8998437Z             {
2022-11-23T01:32:30.8998579Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.8998794Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.8998921Z                 'obj_weakref': None
2022-11-23T01:32:30.8999148Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.8999218Z             }
2022-11-23T01:32:30.8999286Z             
2022-11-23T01:32:30.8999363Z  - 
2022-11-23T01:32:30.8999500Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.8999562Z             {
2022-11-23T01:32:30.8999689Z                 'guard_types': None,
2022-11-23T01:32:30.8999802Z                 'code': None,
2022-11-23T01:32:30.8999926Z                 'obj_weakref': None
2022-11-23T01:32:30.9000053Z                 'guarded_class': None
2022-11-23T01:32:30.9000125Z             }
2022-11-23T01:32:30.9000197Z             
2022-11-23T01:32:30.9000449Z [2022-11-23 01:29:09,214] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369
2022-11-23T01:32:30.9000703Z [2022-11-23 01:29:09,255] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9001067Z [2022-11-23 01:29:09,366] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vr/cvru7zjo35xyu7duscd7zvqrnkacu3kg7tcw6iwdwne5c76gkhhb.py
2022-11-23T01:32:30.9001332Z [2022-11-23 01:29:09,367] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369
2022-11-23T01:32:30.9001569Z [2022-11-23 01:29:09,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9001889Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9002114Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9002372Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9002651Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9002979Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9003320Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9003642Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9004022Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056> 
2022-11-23T01:32:30.9004127Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9004235Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:30.9004334Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9004471Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9004568Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9004657Z               10 BUILD_LIST               2
2022-11-23T01:32:30.9004755Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9004848Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9004942Z               16 BUILD_LIST               2
2022-11-23T01:32:30.9005036Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:30.9005129Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:30.9005244Z               22 BUILD_LIST               2
2022-11-23T01:32:30.9005331Z               24 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9005510Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T01:32:30.9005608Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:30.9005694Z               30 RETURN_VALUE
2022-11-23T01:32:30.9005764Z  
2022-11-23T01:32:30.9005769Z 
2022-11-23T01:32:30.9006092Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057
2022-11-23T01:32:30.9006315Z [2022-11-23 01:29:09,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9006632Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9006896Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.9007176Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.9007503Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9007865Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9008172Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9008515Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9008894Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9009223Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9009590Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9009988Z [2022-11-23 01:29:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9010348Z [2022-11-23 01:29:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9010762Z [2022-11-23 01:29:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9011196Z [2022-11-23 01:29:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:30.9011475Z [2022-11-23 01:29:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9011842Z [2022-11-23 01:29:09,378] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056>
2022-11-23T01:32:30.9012115Z [2022-11-23 01:29:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9012353Z [2022-11-23 01:29:09,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9012613Z [2022-11-23 01:29:09,379] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9012872Z [2022-11-23 01:29:09,381] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9013071Z [2022-11-23 01:29:09,381] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9013215Z  __compiled_fn_380 <eval_with_key>.2346 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9013312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9013551Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T01:32:30.9013655Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.9013661Z 
2022-11-23T01:32:30.9013995Z [2022-11-23 01:29:09,381] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9014097Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9014195Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9014290Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9014394Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9014488Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9014584Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9014658Z              12 RETURN_VALUE
2022-11-23T01:32:30.9014663Z 
2022-11-23T01:32:30.9014731Z  
2022-11-23T01:32:30.9015052Z [2022-11-23 01:29:09,381] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9015170Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_380)
2022-11-23T01:32:30.9015269Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9015367Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9015452Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9015547Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9015635Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9015717Z              12 RETURN_VALUE
2022-11-23T01:32:30.9015726Z 
2022-11-23T01:32:30.9015791Z  
2022-11-23T01:32:30.9015982Z [2022-11-23 01:29:09,382] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9016057Z  - 
2022-11-23T01:32:30.9016185Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9016255Z             {
2022-11-23T01:32:30.9016394Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9016589Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9016715Z                 'obj_weakref': None
2022-11-23T01:32:30.9016946Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9017015Z             }
2022-11-23T01:32:30.9017083Z             
2022-11-23T01:32:30.9017161Z  - 
2022-11-23T01:32:30.9017283Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9017354Z             {
2022-11-23T01:32:30.9017502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9017614Z                 'code': None,
2022-11-23T01:32:30.9017901Z                 'obj_weakref': <weakref at 0x7f20233e67f0; to 'Tensor' at 0x7f20682ff790>
2022-11-23T01:32:30.9018156Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9018226Z             }
2022-11-23T01:32:30.9018287Z             
2022-11-23T01:32:30.9018361Z  - 
2022-11-23T01:32:30.9018498Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9018569Z             {
2022-11-23T01:32:30.9018710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9019211Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9019343Z                 'obj_weakref': None
2022-11-23T01:32:30.9019570Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9019639Z             }
2022-11-23T01:32:30.9019706Z             
2022-11-23T01:32:30.9019781Z  - 
2022-11-23T01:32:30.9019911Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9019982Z             {
2022-11-23T01:32:30.9020115Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9020338Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9020462Z                 'obj_weakref': None
2022-11-23T01:32:30.9020691Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9020761Z             }
2022-11-23T01:32:30.9020829Z             
2022-11-23T01:32:30.9020908Z  - 
2022-11-23T01:32:30.9021046Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9021110Z             {
2022-11-23T01:32:30.9021235Z                 'guard_types': None,
2022-11-23T01:32:30.9021348Z                 'code': None,
2022-11-23T01:32:30.9021474Z                 'obj_weakref': None
2022-11-23T01:32:30.9021601Z                 'guarded_class': None
2022-11-23T01:32:30.9021671Z             }
2022-11-23T01:32:30.9021734Z             
2022-11-23T01:32:30.9022005Z [2022-11-23 01:29:09,385] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370
2022-11-23T01:32:30.9022257Z [2022-11-23 01:29:09,426] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9022263Z 
2022-11-23T01:32:30.9022363Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9022438Z import torch
2022-11-23T01:32:30.9022513Z import random
2022-11-23T01:32:30.9022635Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9022764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9022772Z 
2022-11-23T01:32:30.9022848Z aten = torch.ops.aten
2022-11-23T01:32:30.9022990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9023088Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9023093Z 
2022-11-23T01:32:30.9023167Z import triton
2022-11-23T01:32:30.9023261Z import triton.language as tl
2022-11-23T01:32:30.9023392Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9023537Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9023542Z 
2022-11-23T01:32:30.9023547Z 
2022-11-23T01:32:30.9023716Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.9023783Z import triton
2022-11-23T01:32:30.9023876Z import triton.language as tl
2022-11-23T01:32:30.9023994Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9024097Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9024233Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9024368Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9024373Z 
2022-11-23T01:32:30.9024750Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9024825Z @triton.jit
2022-11-23T01:32:30.9025002Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9025077Z     xnumel = 16
2022-11-23T01:32:30.9025175Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9025309Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9025395Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9025480Z     x1 = (xindex // 4)
2022-11-23T01:32:30.9025556Z     x0 = xindex % 4
2022-11-23T01:32:30.9025619Z     x2 = xindex
2022-11-23T01:32:30.9025735Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.9025806Z     tmp1 = 0
2022-11-23T01:32:30.9025886Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.9026023Z     tmp3 = 8
2022-11-23T01:32:30.9026107Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.9026177Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.9026288Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.9026370Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.9026447Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.9026524Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.9026609Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.9026857Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:30.9026949Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.9027025Z     tmp13 = 2*x0
2022-11-23T01:32:30.9027109Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.9027188Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.9027270Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.9027354Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.9027593Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:30.9027685Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.9027766Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.9027840Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.9027920Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.9028000Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.9028079Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.9028159Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.9028396Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0)
2022-11-23T01:32:30.9028493Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.9028574Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.9028651Z     tmp29 = 2*x1
2022-11-23T01:32:30.9028732Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.9028811Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.9028889Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.9028960Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.9029200Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0)
2022-11-23T01:32:30.9029298Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.9029377Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.9029457Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.9029618Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:30.9029716Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.9029788Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.9029868Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.9030025Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0)
2022-11-23T01:32:30.9030120Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.9030200Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.9030368Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.9030464Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.9030551Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.9030649Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.9030733Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.9030902Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0)
2022-11-23T01:32:30.9030997Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.9031077Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.9031157Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.9031342Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0)
2022-11-23T01:32:30.9031440Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.9031520Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.9031600Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.9031755Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0)
2022-11-23T01:32:30.9031850Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.9031930Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.9032018Z     tmp61 = 0.3333333333333333
2022-11-23T01:32:30.9032114Z     tmp62 = tmp60 * tmp61
2022-11-23T01:32:30.9032256Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp62, xmask)
2022-11-23T01:32:30.9032350Z ''')
2022-11-23T01:32:30.9032355Z 
2022-11-23T01:32:30.9032360Z 
2022-11-23T01:32:30.9032454Z async_compile.wait(globals())
2022-11-23T01:32:30.9032532Z del async_compile
2022-11-23T01:32:30.9032538Z 
2022-11-23T01:32:30.9032616Z def call(args):
2022-11-23T01:32:30.9032690Z     arg0_1, = args
2022-11-23T01:32:30.9032758Z     args.clear()
2022-11-23T01:32:30.9032981Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9033077Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9033224Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.9033297Z     del arg0_1
2022-11-23T01:32:30.9033375Z     return (buf0, )
2022-11-23T01:32:30.9033381Z 
2022-11-23T01:32:30.9033385Z 
2022-11-23T01:32:30.9033469Z if __name__ == "__main__":
2022-11-23T01:32:30.9033593Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9033715Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9033935Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9034053Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9034058Z 
2022-11-23T01:32:30.9034428Z [2022-11-23 01:29:09,539] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tm/ctmt2l7qyxfio5vch74x72dpryvu64rifpcjj5fqzoxtpjrin5qq.py
2022-11-23T01:32:30.9034700Z [2022-11-23 01:29:09,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370
2022-11-23T01:32:30.9034706Z 
2022-11-23T01:32:30.9034809Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9034883Z import torch
2022-11-23T01:32:30.9034957Z import random
2022-11-23T01:32:30.9035072Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9035200Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9035207Z 
2022-11-23T01:32:30.9035294Z aten = torch.ops.aten
2022-11-23T01:32:30.9035436Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9035534Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9035540Z 
2022-11-23T01:32:30.9035614Z import triton
2022-11-23T01:32:30.9035708Z import triton.language as tl
2022-11-23T01:32:30.9035840Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9035975Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9035980Z 
2022-11-23T01:32:30.9035985Z 
2022-11-23T01:32:30.9036150Z triton_fused_avg_pool2d0 = async_compile.triton('''
2022-11-23T01:32:30.9036229Z import triton
2022-11-23T01:32:30.9036322Z import triton.language as tl
2022-11-23T01:32:30.9036437Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9036541Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9036676Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9036799Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9036815Z 
2022-11-23T01:32:30.9037180Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9037292Z @triton.jit
2022-11-23T01:32:30.9037428Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9037501Z     xnumel = 16
2022-11-23T01:32:30.9037601Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9037733Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9037818Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9037891Z     x1 = (xindex // 4)
2022-11-23T01:32:30.9037967Z     x0 = xindex % 4
2022-11-23T01:32:30.9038038Z     x2 = xindex
2022-11-23T01:32:30.9038151Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:30.9038223Z     tmp1 = 0
2022-11-23T01:32:30.9038330Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:30.9038402Z     tmp3 = 8
2022-11-23T01:32:30.9038473Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:30.9038552Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:30.9038663Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:30.9038743Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:30.9038824Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:30.9038901Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:30.9038976Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:30.9039246Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:30.9039345Z     tmp12 = tl.where(tmp10, tmp11, 0.0)
2022-11-23T01:32:30.9039422Z     tmp13 = 2*x0
2022-11-23T01:32:30.9039504Z     tmp14 = tmp13 >= tmp1
2022-11-23T01:32:30.9039585Z     tmp15 = tmp13 < tmp3
2022-11-23T01:32:30.9039668Z     tmp16 = tmp14 & tmp15
2022-11-23T01:32:30.9039740Z     tmp17 = tmp5 & tmp16
2022-11-23T01:32:30.9040010Z     tmp18 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:30.9040109Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:30.9040192Z     tmp20 = tmp19 + tmp12
2022-11-23T01:32:30.9040268Z     tmp21 = 1 + (2*x0)
2022-11-23T01:32:30.9040349Z     tmp22 = tmp21 >= tmp1
2022-11-23T01:32:30.9040430Z     tmp23 = tmp21 < tmp3
2022-11-23T01:32:30.9040502Z     tmp24 = tmp22 & tmp23
2022-11-23T01:32:30.9040586Z     tmp25 = tmp5 & tmp24
2022-11-23T01:32:30.9040851Z     tmp26 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp25, other=0).to(tl.float32)
2022-11-23T01:32:30.9040951Z     tmp27 = tl.where(tmp25, tmp26, 0.0)
2022-11-23T01:32:30.9041032Z     tmp28 = tmp27 + tmp20
2022-11-23T01:32:30.9041107Z     tmp29 = 2*x1
2022-11-23T01:32:30.9041187Z     tmp30 = tmp29 >= tmp1
2022-11-23T01:32:30.9041259Z     tmp31 = tmp29 < tmp3
2022-11-23T01:32:30.9041339Z     tmp32 = tmp30 & tmp31
2022-11-23T01:32:30.9041419Z     tmp33 = tmp32 & tmp9
2022-11-23T01:32:30.9041683Z     tmp34 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp33, other=0).to(tl.float32)
2022-11-23T01:32:30.9041780Z     tmp35 = tl.where(tmp33, tmp34, 0.0)
2022-11-23T01:32:30.9041859Z     tmp36 = tmp35 + tmp28
2022-11-23T01:32:30.9041941Z     tmp37 = tmp32 & tmp16
2022-11-23T01:32:30.9042142Z     tmp38 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0).to(tl.float32)
2022-11-23T01:32:30.9042243Z     tmp39 = tl.where(tmp37, tmp38, 0.0)
2022-11-23T01:32:30.9042338Z     tmp40 = tmp39 + tmp36
2022-11-23T01:32:30.9042419Z     tmp41 = tmp32 & tmp24
2022-11-23T01:32:30.9042593Z     tmp42 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp41, other=0).to(tl.float32)
2022-11-23T01:32:30.9042689Z     tmp43 = tl.where(tmp41, tmp42, 0.0)
2022-11-23T01:32:30.9042770Z     tmp44 = tmp43 + tmp40
2022-11-23T01:32:30.9042845Z     tmp45 = 1 + (2*x1)
2022-11-23T01:32:30.9042917Z     tmp46 = tmp45 >= tmp1
2022-11-23T01:32:30.9042999Z     tmp47 = tmp45 < tmp3
2022-11-23T01:32:30.9043079Z     tmp48 = tmp46 & tmp47
2022-11-23T01:32:30.9043160Z     tmp49 = tmp48 & tmp9
2022-11-23T01:32:30.9043329Z     tmp50 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0).to(tl.float32)
2022-11-23T01:32:30.9043425Z     tmp51 = tl.where(tmp49, tmp50, 0.0)
2022-11-23T01:32:30.9043539Z     tmp52 = tmp51 + tmp44
2022-11-23T01:32:30.9043611Z     tmp53 = tmp48 & tmp16
2022-11-23T01:32:30.9043783Z     tmp54 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp53, other=0).to(tl.float32)
2022-11-23T01:32:30.9043879Z     tmp55 = tl.where(tmp53, tmp54, 0.0)
2022-11-23T01:32:30.9043960Z     tmp56 = tmp55 + tmp52
2022-11-23T01:32:30.9044040Z     tmp57 = tmp48 & tmp24
2022-11-23T01:32:30.9044209Z     tmp58 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp57, other=0).to(tl.float32)
2022-11-23T01:32:30.9044332Z     tmp59 = tl.where(tmp57, tmp58, 0.0)
2022-11-23T01:32:30.9044406Z     tmp60 = tmp59 + tmp56
2022-11-23T01:32:30.9044489Z     tmp61 = 0.3333333333333333
2022-11-23T01:32:30.9044569Z     tmp62 = tmp60 * tmp61
2022-11-23T01:32:30.9044704Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp62, xmask)
2022-11-23T01:32:30.9044793Z ''')
2022-11-23T01:32:30.9044798Z 
2022-11-23T01:32:30.9044807Z 
2022-11-23T01:32:30.9044908Z async_compile.wait(globals())
2022-11-23T01:32:30.9044985Z del async_compile
2022-11-23T01:32:30.9044991Z 
2022-11-23T01:32:30.9045065Z def call(args):
2022-11-23T01:32:30.9045132Z     arg0_1, = args
2022-11-23T01:32:30.9045207Z     args.clear()
2022-11-23T01:32:30.9045427Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9045519Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9045665Z     triton_fused_avg_pool2d0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:30.9045739Z     del arg0_1
2022-11-23T01:32:30.9045817Z     return (buf0, )
2022-11-23T01:32:30.9045822Z 
2022-11-23T01:32:30.9045827Z 
2022-11-23T01:32:30.9045910Z if __name__ == "__main__":
2022-11-23T01:32:30.9046022Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9046150Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9046364Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9046482Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9046487Z 
2022-11-23T01:32:30.9046560Z ok (0.345s)
2022-11-23T01:32:30.9046874Z   test_avg_pool2d7_cuda (__main__.CudaTests) ... [2022-11-23 01:29:09,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9047192Z [2022-11-23 01:29:09,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9047415Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9047667Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9047951Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9048271Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9048626Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9048951Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9049332Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066> 
2022-11-23T01:32:30.9049435Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9049545Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.9049650Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9049740Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9049872Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9049969Z               10 BUILD_LIST               2
2022-11-23T01:32:30.9050068Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9050165Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9050258Z               16 BUILD_LIST               2
2022-11-23T01:32:30.9050353Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9050446Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9050531Z               22 BUILD_LIST               2
2022-11-23T01:32:30.9050651Z               24 CALL_METHOD              4
2022-11-23T01:32:30.9050735Z               26 RETURN_VALUE
2022-11-23T01:32:30.9050801Z  
2022-11-23T01:32:30.9050807Z 
2022-11-23T01:32:30.9051124Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067
2022-11-23T01:32:30.9051349Z [2022-11-23 01:29:09,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9051671Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9051940Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.9052227Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.9052559Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9052918Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9053231Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9053580Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9053964Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9054303Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9054671Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9055071Z [2022-11-23 01:29:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9055437Z [2022-11-23 01:29:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9055687Z [2022-11-23 01:29:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9056068Z [2022-11-23 01:29:09,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066>
2022-11-23T01:32:30.9056318Z [2022-11-23 01:29:09,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9056548Z [2022-11-23 01:29:09,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9056834Z [2022-11-23 01:29:09,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9057088Z [2022-11-23 01:29:09,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9057282Z [2022-11-23 01:29:09,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9057426Z  __compiled_fn_381 <eval_with_key>.2352 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9057523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9057693Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T01:32:30.9057808Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.9057814Z 
2022-11-23T01:32:30.9058130Z [2022-11-23 01:29:09,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9058237Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9058335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9058429Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9058530Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9058625Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9058719Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9059124Z              12 RETURN_VALUE
2022-11-23T01:32:30.9059131Z 
2022-11-23T01:32:30.9059190Z  
2022-11-23T01:32:30.9059524Z [2022-11-23 01:29:09,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9059643Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_381)
2022-11-23T01:32:30.9059742Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9059841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9059926Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9060024Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9060113Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9060200Z              12 RETURN_VALUE
2022-11-23T01:32:30.9060205Z 
2022-11-23T01:32:30.9060272Z  
2022-11-23T01:32:30.9060463Z [2022-11-23 01:29:09,556] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9060541Z  - 
2022-11-23T01:32:30.9060669Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9060738Z             {
2022-11-23T01:32:30.9060878Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9061073Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9061199Z                 'obj_weakref': None
2022-11-23T01:32:30.9061426Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9061497Z             }
2022-11-23T01:32:30.9061567Z             
2022-11-23T01:32:30.9061641Z  - 
2022-11-23T01:32:30.9061769Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9061855Z             {
2022-11-23T01:32:30.9062028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9062154Z                 'code': None,
2022-11-23T01:32:30.9062369Z                 'obj_weakref': <weakref at 0x7f2068081ad0; to 'Tensor' at 0x7f2068242ed0>
2022-11-23T01:32:30.9062620Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9062689Z             }
2022-11-23T01:32:30.9062757Z             
2022-11-23T01:32:30.9062825Z  - 
2022-11-23T01:32:30.9062965Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9063035Z             {
2022-11-23T01:32:30.9063177Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9063353Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9064931Z                 'obj_weakref': None
2022-11-23T01:32:30.9065190Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9065304Z             }
2022-11-23T01:32:30.9065365Z             
2022-11-23T01:32:30.9065444Z  - 
2022-11-23T01:32:30.9065573Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9065642Z             {
2022-11-23T01:32:30.9065784Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9066009Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9066133Z                 'obj_weakref': None
2022-11-23T01:32:30.9066353Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9066427Z             }
2022-11-23T01:32:30.9066497Z             
2022-11-23T01:32:30.9066572Z  - 
2022-11-23T01:32:30.9066708Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9066779Z             {
2022-11-23T01:32:30.9066933Z                 'guard_types': None,
2022-11-23T01:32:30.9067053Z                 'code': None,
2022-11-23T01:32:30.9067176Z                 'obj_weakref': None
2022-11-23T01:32:30.9067307Z                 'guarded_class': None
2022-11-23T01:32:30.9067375Z             }
2022-11-23T01:32:30.9067444Z             
2022-11-23T01:32:30.9067709Z [2022-11-23 01:29:09,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371
2022-11-23T01:32:30.9067932Z [2022-11-23 01:29:09,560] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T01:32:30.9068309Z [2022-11-23 01:29:09,562] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lz/clzriaosubq56ghstcpbv5rhifswknkzorxh33twgmdd54nfxi2z.py
2022-11-23T01:32:30.9068584Z [2022-11-23 01:29:09,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371
2022-11-23T01:32:30.9068830Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9069152Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9069381Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9069640Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9069924Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9070342Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9070735Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9071090Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9071476Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066> 
2022-11-23T01:32:30.9071580Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9071692Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:30.9071792Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9071891Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9071991Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9072086Z               10 BUILD_LIST               2
2022-11-23T01:32:30.9072176Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9072275Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9072429Z               16 BUILD_LIST               2
2022-11-23T01:32:30.9072546Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9072641Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9072735Z               22 BUILD_LIST               2
2022-11-23T01:32:30.9072829Z               24 CALL_METHOD              4
2022-11-23T01:32:30.9072912Z               26 RETURN_VALUE
2022-11-23T01:32:30.9072971Z  
2022-11-23T01:32:30.9072976Z 
2022-11-23T01:32:30.9073296Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067
2022-11-23T01:32:30.9073521Z [2022-11-23 01:29:09,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9073841Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9074111Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:30.9074412Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:30.9074746Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9075103Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9075414Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9075768Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9076143Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9076481Z [2022-11-23 01:29:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9076853Z [2022-11-23 01:29:09,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9077260Z [2022-11-23 01:29:09,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9077620Z [2022-11-23 01:29:09,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9077875Z [2022-11-23 01:29:09,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9078261Z [2022-11-23 01:29:09,573] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066>
2022-11-23T01:32:30.9078513Z [2022-11-23 01:29:09,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9078757Z [2022-11-23 01:29:09,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9079021Z [2022-11-23 01:29:09,574] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9079274Z [2022-11-23 01:29:09,578] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9079500Z [2022-11-23 01:29:09,578] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9079668Z  __compiled_fn_382 <eval_with_key>.2358 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9079765Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9079914Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T01:32:30.9080028Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:30.9080034Z 
2022-11-23T01:32:30.9080362Z [2022-11-23 01:29:09,579] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9080464Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9080563Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9080651Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9080752Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9080845Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9080944Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9081028Z              12 RETURN_VALUE
2022-11-23T01:32:30.9081033Z 
2022-11-23T01:32:30.9081099Z  
2022-11-23T01:32:30.9081424Z [2022-11-23 01:29:09,579] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9081544Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_382)
2022-11-23T01:32:30.9081634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9081733Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9081816Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9081911Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9082007Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9082090Z              12 RETURN_VALUE
2022-11-23T01:32:30.9082095Z 
2022-11-23T01:32:30.9082160Z  
2022-11-23T01:32:30.9082347Z [2022-11-23 01:29:09,579] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9082424Z  - 
2022-11-23T01:32:30.9082554Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9082625Z             {
2022-11-23T01:32:30.9082773Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9082968Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9083094Z                 'obj_weakref': None
2022-11-23T01:32:30.9083316Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9083389Z             }
2022-11-23T01:32:30.9083458Z             
2022-11-23T01:32:30.9083532Z  - 
2022-11-23T01:32:30.9083662Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9083737Z             {
2022-11-23T01:32:30.9083888Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9083994Z                 'code': None,
2022-11-23T01:32:30.9084210Z                 'obj_weakref': <weakref at 0x7f20680bd940; to 'Tensor' at 0x7f20233caa20>
2022-11-23T01:32:30.9084464Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9084539Z             }
2022-11-23T01:32:30.9084607Z             
2022-11-23T01:32:30.9084684Z  - 
2022-11-23T01:32:30.9084820Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9084881Z             {
2022-11-23T01:32:30.9085023Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9085201Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9085326Z                 'obj_weakref': None
2022-11-23T01:32:30.9085564Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9085633Z             }
2022-11-23T01:32:30.9085702Z             
2022-11-23T01:32:30.9085770Z  - 
2022-11-23T01:32:30.9085896Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9085965Z             {
2022-11-23T01:32:30.9086146Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9086376Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9086522Z                 'obj_weakref': None
2022-11-23T01:32:30.9086752Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9086813Z             }
2022-11-23T01:32:30.9086883Z             
2022-11-23T01:32:30.9086957Z  - 
2022-11-23T01:32:30.9087094Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9087163Z             {
2022-11-23T01:32:30.9087289Z                 'guard_types': None,
2022-11-23T01:32:30.9087404Z                 'code': None,
2022-11-23T01:32:30.9087520Z                 'obj_weakref': None
2022-11-23T01:32:30.9087647Z                 'guarded_class': None
2022-11-23T01:32:30.9087715Z             }
2022-11-23T01:32:30.9087784Z             
2022-11-23T01:32:30.9088052Z [2022-11-23 01:29:09,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372
2022-11-23T01:32:30.9088283Z [2022-11-23 01:29:09,584] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T01:32:30.9088648Z [2022-11-23 01:29:09,586] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ys/cysi65x6o6fr46lsmw2ef3cklqrnc6kw75sa5n3n5rcp4uz65ca5.py
2022-11-23T01:32:30.9088918Z [2022-11-23 01:29:09,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372
2022-11-23T01:32:30.9088924Z 
2022-11-23T01:32:30.9089017Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9089094Z import torch
2022-11-23T01:32:30.9089168Z import random
2022-11-23T01:32:30.9089297Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9089426Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9089431Z 
2022-11-23T01:32:30.9089517Z aten = torch.ops.aten
2022-11-23T01:32:30.9089659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9089753Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9089768Z 
2022-11-23T01:32:30.9089839Z import triton
2022-11-23T01:32:30.9089934Z import triton.language as tl
2022-11-23T01:32:30.9090065Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9090211Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9090216Z 
2022-11-23T01:32:30.9090221Z 
2022-11-23T01:32:30.9090315Z async_compile.wait(globals())
2022-11-23T01:32:30.9090395Z del async_compile
2022-11-23T01:32:30.9090400Z 
2022-11-23T01:32:30.9090477Z def call(args):
2022-11-23T01:32:30.9090544Z     arg0_1, = args
2022-11-23T01:32:30.9090621Z     args.clear()
2022-11-23T01:32:30.9090759Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T01:32:30.9090834Z     del arg0_1
2022-11-23T01:32:30.9090907Z     buf1 = buf0
2022-11-23T01:32:30.9091027Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T01:32:30.9091101Z     del buf0
2022-11-23T01:32:30.9091172Z     return (buf1, )
2022-11-23T01:32:30.9091188Z 
2022-11-23T01:32:30.9091193Z 
2022-11-23T01:32:30.9091267Z if __name__ == "__main__":
2022-11-23T01:32:30.9091387Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9091518Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9091747Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9091863Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9091868Z 
2022-11-23T01:32:30.9091873Z 
2022-11-23T01:32:30.9091973Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9092048Z import torch
2022-11-23T01:32:30.9092115Z import random
2022-11-23T01:32:30.9092239Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9092366Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9092371Z 
2022-11-23T01:32:30.9092455Z aten = torch.ops.aten
2022-11-23T01:32:30.9092629Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9092749Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9092754Z 
2022-11-23T01:32:30.9092829Z import triton
2022-11-23T01:32:30.9092924Z import triton.language as tl
2022-11-23T01:32:30.9093045Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9093192Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9093197Z 
2022-11-23T01:32:30.9093202Z 
2022-11-23T01:32:30.9093295Z async_compile.wait(globals())
2022-11-23T01:32:30.9093374Z del async_compile
2022-11-23T01:32:30.9093379Z 
2022-11-23T01:32:30.9093456Z def call(args):
2022-11-23T01:32:30.9093529Z     arg0_1, = args
2022-11-23T01:32:30.9093605Z     args.clear()
2022-11-23T01:32:30.9093742Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T01:32:30.9093808Z     del arg0_1
2022-11-23T01:32:30.9093880Z     buf1 = buf0
2022-11-23T01:32:30.9093997Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T01:32:30.9094071Z     del buf0
2022-11-23T01:32:30.9094152Z     return (buf1, )
2022-11-23T01:32:30.9094157Z 
2022-11-23T01:32:30.9094162Z 
2022-11-23T01:32:30.9094242Z if __name__ == "__main__":
2022-11-23T01:32:30.9094363Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9094486Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9094711Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9094826Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9094831Z 
2022-11-23T01:32:30.9094906Z ok (0.046s)
2022-11-23T01:32:30.9095238Z   test_avg_pool2d_backward2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9095554Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9095779Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9096037Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9096316Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9096628Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9096976Z [2022-11-23 01:29:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9097310Z [2022-11-23 01:29:09,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9097693Z [2022-11-23 01:29:09,591] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057> 
2022-11-23T01:32:30.9097799Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9097921Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9097926Z 
2022-11-23T01:32:30.9098025Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9098030Z 
2022-11-23T01:32:30.9098127Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9098133Z 
2022-11-23T01:32:30.9098229Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9098325Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9098412Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9098418Z 
2022-11-23T01:32:30.9098512Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9098606Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9098740Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9098764Z 
2022-11-23T01:32:30.9099127Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9099225Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9099320Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9099325Z 
2022-11-23T01:32:30.9099425Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T01:32:30.9099430Z 
2022-11-23T01:32:30.9099521Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9099533Z 
2022-11-23T01:32:30.9099624Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9099629Z 
2022-11-23T01:32:30.9099724Z 4058          32 CALL_METHOD              8
2022-11-23T01:32:30.9099808Z               34 RETURN_VALUE
2022-11-23T01:32:30.9099875Z  
2022-11-23T01:32:30.9099880Z 
2022-11-23T01:32:30.9100205Z [2022-11-23 01:29:09,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:30.9100429Z [2022-11-23 01:29:09,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9100765Z [2022-11-23 01:29:09,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9101084Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059
2022-11-23T01:32:30.9101361Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9101673Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060
2022-11-23T01:32:30.9101980Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9102292Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061
2022-11-23T01:32:30.9102630Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9102996Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9103405Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9103711Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062
2022-11-23T01:32:30.9104064Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9104450Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9104874Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9105188Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063
2022-11-23T01:32:30.9105639Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9106077Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9106514Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9106826Z [2022-11-23 01:29:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064
2022-11-23T01:32:30.9107231Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9107547Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065
2022-11-23T01:32:30.9107999Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9108304Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066
2022-11-23T01:32:30.9108786Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9109106Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:30.9109635Z [2022-11-23 01:29:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9109891Z [2022-11-23 01:29:09,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9110348Z [2022-11-23 01:29:09,599] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057>
2022-11-23T01:32:30.9110637Z [2022-11-23 01:29:09,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9110881Z [2022-11-23 01:29:09,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9111147Z [2022-11-23 01:29:09,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9111397Z [2022-11-23 01:29:09,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9111596Z [2022-11-23 01:29:09,602] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9111742Z  __compiled_fn_383 <eval_with_key>.2364 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9111839Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9111937Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9112129Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T01:32:30.9112255Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9112261Z 
2022-11-23T01:32:30.9112658Z [2022-11-23 01:29:09,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9112756Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9112891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9112987Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9113089Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9113182Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9113279Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9113362Z              12 RETURN_VALUE
2022-11-23T01:32:30.9113368Z 
2022-11-23T01:32:30.9113435Z  
2022-11-23T01:32:30.9113755Z [2022-11-23 01:29:09,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9113877Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_383)
2022-11-23T01:32:30.9113976Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9114075Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9114163Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9114261Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9114358Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9114433Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9114527Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9114625Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9114708Z              18 RETURN_VALUE
2022-11-23T01:32:30.9114713Z 
2022-11-23T01:32:30.9114780Z  
2022-11-23T01:32:30.9114972Z [2022-11-23 01:29:09,603] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9115049Z  - 
2022-11-23T01:32:30.9115167Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9115239Z             {
2022-11-23T01:32:30.9115387Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9115584Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9115710Z                 'obj_weakref': None
2022-11-23T01:32:30.9115944Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9116016Z             }
2022-11-23T01:32:30.9116079Z             
2022-11-23T01:32:30.9116155Z  - 
2022-11-23T01:32:30.9116288Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9116357Z             {
2022-11-23T01:32:30.9116509Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9116623Z                 'code': None,
2022-11-23T01:32:30.9116845Z                 'obj_weakref': <weakref at 0x7f20726ff2e0; to 'Tensor' at 0x7f1fead36200>
2022-11-23T01:32:30.9117096Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9117166Z             }
2022-11-23T01:32:30.9117236Z             
2022-11-23T01:32:30.9117312Z  - 
2022-11-23T01:32:30.9117442Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9117510Z             {
2022-11-23T01:32:30.9117664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9117774Z                 'code': None,
2022-11-23T01:32:30.9117987Z                 'obj_weakref': <weakref at 0x7f20726fc540; to 'Tensor' at 0x7f2151f385e0>
2022-11-23T01:32:30.9118244Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9118313Z             }
2022-11-23T01:32:30.9118384Z             
2022-11-23T01:32:30.9118459Z  - 
2022-11-23T01:32:30.9118596Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9118658Z             {
2022-11-23T01:32:30.9118801Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9118980Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9119106Z                 'obj_weakref': None
2022-11-23T01:32:30.9119341Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9119411Z             }
2022-11-23T01:32:30.9119516Z             
2022-11-23T01:32:30.9119586Z  - 
2022-11-23T01:32:30.9119749Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9119819Z             {
2022-11-23T01:32:30.9119963Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9120187Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9120313Z                 'obj_weakref': None
2022-11-23T01:32:30.9120541Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9120603Z             }
2022-11-23T01:32:30.9120673Z             
2022-11-23T01:32:30.9120749Z  - 
2022-11-23T01:32:30.9120886Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9120956Z             {
2022-11-23T01:32:30.9121081Z                 'guard_types': None,
2022-11-23T01:32:30.9121198Z                 'code': None,
2022-11-23T01:32:30.9121314Z                 'obj_weakref': None
2022-11-23T01:32:30.9121445Z                 'guarded_class': None
2022-11-23T01:32:30.9121516Z             }
2022-11-23T01:32:30.9121587Z             
2022-11-23T01:32:30.9121854Z [2022-11-23 01:29:09,607] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373
2022-11-23T01:32:30.9122110Z [2022-11-23 01:29:09,681] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9122480Z [2022-11-23 01:29:09,948] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ih/cihyymq7jjdygdzfx3vivzx5soagsk7bcgmf3xktkc2dwenwe2ri.py
2022-11-23T01:32:30.9122754Z [2022-11-23 01:29:09,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373
2022-11-23T01:32:30.9122991Z [2022-11-23 01:29:09,951] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9123316Z [2022-11-23 01:29:09,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9123545Z [2022-11-23 01:29:09,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9123808Z [2022-11-23 01:29:09,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9124096Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9124422Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9124774Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9125102Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9125489Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057> 
2022-11-23T01:32:30.9125597Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9125712Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9125718Z 
2022-11-23T01:32:30.9125821Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9125827Z 
2022-11-23T01:32:30.9125928Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9125933Z 
2022-11-23T01:32:30.9126033Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9126130Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:30.9126227Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9126232Z 
2022-11-23T01:32:30.9126329Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9126427Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9126547Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9126579Z 
2022-11-23T01:32:30.9126668Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9126761Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9126855Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9126860Z 
2022-11-23T01:32:30.9126962Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T01:32:30.9126967Z 
2022-11-23T01:32:30.9127067Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9127072Z 
2022-11-23T01:32:30.9127172Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9127178Z 
2022-11-23T01:32:30.9127273Z 4058          32 CALL_METHOD              8
2022-11-23T01:32:30.9127355Z               34 RETURN_VALUE
2022-11-23T01:32:30.9127415Z  
2022-11-23T01:32:30.9127420Z 
2022-11-23T01:32:30.9127746Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:30.9127975Z [2022-11-23 01:29:09,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9128314Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9128634Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059
2022-11-23T01:32:30.9128916Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9129233Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060
2022-11-23T01:32:30.9129540Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9129855Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061
2022-11-23T01:32:30.9130196Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9130562Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9130961Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9131277Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062
2022-11-23T01:32:30.9131630Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9132015Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9132443Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9132757Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063
2022-11-23T01:32:30.9133179Z [2022-11-23 01:29:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9133606Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9134052Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9134363Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064
2022-11-23T01:32:30.9134761Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9135072Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065
2022-11-23T01:32:30.9135518Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9135825Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066
2022-11-23T01:32:30.9136302Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9136608Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:32:30.9137145Z [2022-11-23 01:29:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9137402Z [2022-11-23 01:29:09,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9137789Z [2022-11-23 01:29:09,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057>
2022-11-23T01:32:30.9138043Z [2022-11-23 01:29:09,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9138283Z [2022-11-23 01:29:09,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9138548Z [2022-11-23 01:29:09,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9138994Z [2022-11-23 01:29:09,963] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9139195Z [2022-11-23 01:29:09,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9139341Z  __compiled_fn_384 <eval_with_key>.2370 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9139431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9139524Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9139711Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T01:32:30.9139836Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9139841Z 
2022-11-23T01:32:30.9140216Z [2022-11-23 01:29:09,964] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9140323Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9140451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9140547Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9140642Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9140736Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9140831Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9140914Z              12 RETURN_VALUE
2022-11-23T01:32:30.9140920Z 
2022-11-23T01:32:30.9140986Z  
2022-11-23T01:32:30.9141313Z [2022-11-23 01:29:09,964] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9141435Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_384)
2022-11-23T01:32:30.9141533Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9141625Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9141716Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9141816Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9141914Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9141998Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9142094Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9142194Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9142274Z              18 RETURN_VALUE
2022-11-23T01:32:30.9142281Z 
2022-11-23T01:32:30.9142363Z  
2022-11-23T01:32:30.9142581Z [2022-11-23 01:29:09,965] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9142658Z  - 
2022-11-23T01:32:30.9142787Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9142860Z             {
2022-11-23T01:32:30.9143007Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9143196Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9143321Z                 'obj_weakref': None
2022-11-23T01:32:30.9143555Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9143629Z             }
2022-11-23T01:32:30.9143699Z             
2022-11-23T01:32:30.9143775Z  - 
2022-11-23T01:32:30.9143907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9143969Z             {
2022-11-23T01:32:30.9144119Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9144233Z                 'code': None,
2022-11-23T01:32:30.9144453Z                 'obj_weakref': <weakref at 0x7f20230d5210; to 'Tensor' at 0x7f201e28aa20>
2022-11-23T01:32:30.9144710Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9144780Z             }
2022-11-23T01:32:30.9144849Z             
2022-11-23T01:32:30.9144918Z  - 
2022-11-23T01:32:30.9145048Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9145117Z             {
2022-11-23T01:32:30.9145273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9145393Z                 'code': None,
2022-11-23T01:32:30.9145610Z                 'obj_weakref': <weakref at 0x7f20230d44f0; to 'Tensor' at 0x7f1ff8161fd0>
2022-11-23T01:32:30.9145869Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9145931Z             }
2022-11-23T01:32:30.9146001Z             
2022-11-23T01:32:30.9146078Z  - 
2022-11-23T01:32:30.9146215Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9146285Z             {
2022-11-23T01:32:30.9146427Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9146605Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9146725Z                 'obj_weakref': None
2022-11-23T01:32:30.9146958Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9147027Z             }
2022-11-23T01:32:30.9147131Z             
2022-11-23T01:32:30.9147208Z  - 
2022-11-23T01:32:30.9147359Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9147429Z             {
2022-11-23T01:32:30.9147566Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9147792Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9147919Z                 'obj_weakref': None
2022-11-23T01:32:30.9148149Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9148219Z             }
2022-11-23T01:32:30.9148287Z             
2022-11-23T01:32:30.9148363Z  - 
2022-11-23T01:32:30.9148495Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9148565Z             {
2022-11-23T01:32:30.9148692Z                 'guard_types': None,
2022-11-23T01:32:30.9148806Z                 'code': None,
2022-11-23T01:32:30.9148931Z                 'obj_weakref': None
2022-11-23T01:32:30.9149063Z                 'guarded_class': None
2022-11-23T01:32:30.9149132Z             }
2022-11-23T01:32:30.9149197Z             
2022-11-23T01:32:30.9149465Z [2022-11-23 01:29:09,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374
2022-11-23T01:32:30.9149722Z [2022-11-23 01:29:10,026] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9149727Z 
2022-11-23T01:32:30.9149828Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9149903Z import torch
2022-11-23T01:32:30.9149980Z import random
2022-11-23T01:32:30.9150104Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9150226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9150240Z 
2022-11-23T01:32:30.9150396Z aten = torch.ops.aten
2022-11-23T01:32:30.9150554Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9150654Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9150660Z 
2022-11-23T01:32:30.9150739Z import triton
2022-11-23T01:32:30.9150833Z import triton.language as tl
2022-11-23T01:32:30.9150966Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9151112Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9151117Z 
2022-11-23T01:32:30.9151122Z 
2022-11-23T01:32:30.9151313Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9151382Z import triton
2022-11-23T01:32:30.9151476Z import triton.language as tl
2022-11-23T01:32:30.9151593Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9151698Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9151836Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9151966Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9151972Z 
2022-11-23T01:32:30.9152351Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.9152429Z @triton.jit
2022-11-23T01:32:30.9152560Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9152637Z     xnumel = 300
2022-11-23T01:32:30.9152737Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9152873Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9152958Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9153043Z     x1 = (xindex // 15)
2022-11-23T01:32:30.9153113Z     x0 = xindex % 15
2022-11-23T01:32:30.9153186Z     x2 = xindex
2022-11-23T01:32:30.9153294Z     tmp0 = (-1) + x1
2022-11-23T01:32:30.9153399Z     tmp1 = (-1) + x0
2022-11-23T01:32:30.9153474Z     tmp2 = 2 + x1
2022-11-23T01:32:30.9153548Z     tmp3 = 2 + x0
2022-11-23T01:32:30.9153621Z     tmp4 = 0
2022-11-23T01:32:30.9153709Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9153804Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9153878Z     tmp7 = 20
2022-11-23T01:32:30.9154008Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9154101Z     tmp9 = 15
2022-11-23T01:32:30.9154196Z     tmp10 = tl.minimum(tmp3, tmp9)
2022-11-23T01:32:30.9154278Z     tmp11 = tmp5 + tmp4
2022-11-23T01:32:30.9154352Z     tmp12 = tmp6 + tmp4
2022-11-23T01:32:30.9154423Z     tmp13 = 1
2022-11-23T01:32:30.9154498Z     tmp14 = 3
2022-11-23T01:32:30.9154582Z     tmp15 = tmp11 * tmp13
2022-11-23T01:32:30.9154698Z     tmp16 = tmp15 - tmp13
2022-11-23T01:32:30.9154779Z     tmp17 = tmp12 * tmp13
2022-11-23T01:32:30.9154885Z     tmp18 = tmp17 - tmp13
2022-11-23T01:32:30.9154966Z     tmp19 = tmp16 + tmp14
2022-11-23T01:32:30.9155047Z     tmp20 = tmp7 + tmp13
2022-11-23T01:32:30.9155146Z     tmp21 = tl.minimum(tmp19, tmp20)
2022-11-23T01:32:30.9155226Z     tmp22 = tmp18 + tmp14
2022-11-23T01:32:30.9155306Z     tmp23 = tmp9 + tmp13
2022-11-23T01:32:30.9155402Z     tmp24 = tl.minimum(tmp22, tmp23)
2022-11-23T01:32:30.9155490Z     tmp25 = tl.maximum(tmp16, tmp4)
2022-11-23T01:32:30.9155591Z     tmp26 = tl.maximum(tmp18, tmp4)
2022-11-23T01:32:30.9155683Z     tmp27 = tl.minimum(tmp21, tmp7)
2022-11-23T01:32:30.9155778Z     tmp28 = tl.minimum(tmp24, tmp9)
2022-11-23T01:32:30.9155893Z     tmp29 = tmp27 - tmp25
2022-11-23T01:32:30.9156005Z     tmp30 = tmp28 - tmp26
2022-11-23T01:32:30.9156086Z     tmp31 = tmp29 * tmp30
2022-11-23T01:32:30.9156191Z     tmp32 = tmp8 - tmp13
2022-11-23T01:32:30.9156286Z     tmp33 = tl.minimum(tmp11, tmp32)
2022-11-23T01:32:30.9156400Z     tmp34 = tmp10 - tmp13
2022-11-23T01:32:30.9156496Z     tmp35 = tl.minimum(tmp12, tmp34)
2022-11-23T01:32:30.9156648Z     tmp36 = tl.load(in_ptr0 + (tmp35 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9156731Z     tmp37 = tmp36 / tmp31
2022-11-23T01:32:30.9156812Z     tmp38 = tmp11 < tmp8
2022-11-23T01:32:30.9156884Z     tmp39 = tmp12 < tmp10
2022-11-23T01:32:30.9156967Z     tmp40 = tmp38 & tmp39
2022-11-23T01:32:30.9157041Z     tmp41 = 0.0
2022-11-23T01:32:30.9157143Z     tmp42 = tl.where(tmp40, tmp37, tmp41)
2022-11-23T01:32:30.9157226Z     tmp43 = tmp6 + tmp13
2022-11-23T01:32:30.9157313Z     tmp44 = tmp43 * tmp13
2022-11-23T01:32:30.9157426Z     tmp45 = tmp44 - tmp13
2022-11-23T01:32:30.9157499Z     tmp46 = tmp45 + tmp14
2022-11-23T01:32:30.9157594Z     tmp47 = tl.minimum(tmp46, tmp23)
2022-11-23T01:32:30.9157689Z     tmp48 = tl.maximum(tmp45, tmp4)
2022-11-23T01:32:30.9157784Z     tmp49 = tl.minimum(tmp47, tmp9)
2022-11-23T01:32:30.9157896Z     tmp50 = tmp49 - tmp48
2022-11-23T01:32:30.9157977Z     tmp51 = tmp29 * tmp50
2022-11-23T01:32:30.9158063Z     tmp52 = tl.minimum(tmp43, tmp34)
2022-11-23T01:32:30.9158215Z     tmp53 = tl.load(in_ptr0 + (tmp52 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9158297Z     tmp54 = tmp53 / tmp51
2022-11-23T01:32:30.9158377Z     tmp55 = tmp43 < tmp10
2022-11-23T01:32:30.9158461Z     tmp56 = tmp38 & tmp55
2022-11-23T01:32:30.9158540Z     tmp57 = tmp42 + tmp54
2022-11-23T01:32:30.9158642Z     tmp58 = tl.where(tmp56, tmp57, tmp42)
2022-11-23T01:32:30.9158708Z     tmp59 = 2
2022-11-23T01:32:30.9158791Z     tmp60 = tmp6 + tmp59
2022-11-23T01:32:30.9158872Z     tmp61 = tmp60 * tmp13
2022-11-23T01:32:30.9158986Z     tmp62 = tmp61 - tmp13
2022-11-23T01:32:30.9159066Z     tmp63 = tmp62 + tmp14
2022-11-23T01:32:30.9159159Z     tmp64 = tl.minimum(tmp63, tmp23)
2022-11-23T01:32:30.9159253Z     tmp65 = tl.maximum(tmp62, tmp4)
2022-11-23T01:32:30.9159340Z     tmp66 = tl.minimum(tmp64, tmp9)
2022-11-23T01:32:30.9159452Z     tmp67 = tmp66 - tmp65
2022-11-23T01:32:30.9159532Z     tmp68 = tmp29 * tmp67
2022-11-23T01:32:30.9159625Z     tmp69 = tl.minimum(tmp60, tmp34)
2022-11-23T01:32:30.9159775Z     tmp70 = tl.load(in_ptr0 + (tmp69 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9159858Z     tmp71 = tmp70 / tmp68
2022-11-23T01:32:30.9159939Z     tmp72 = tmp60 < tmp10
2022-11-23T01:32:30.9160011Z     tmp73 = tmp38 & tmp72
2022-11-23T01:32:30.9160090Z     tmp74 = tmp58 + tmp71
2022-11-23T01:32:30.9160196Z     tmp75 = tl.where(tmp73, tmp74, tmp58)
2022-11-23T01:32:30.9160323Z     tmp76 = tmp5 + tmp13
2022-11-23T01:32:30.9160425Z     tmp77 = tmp76 * tmp13
2022-11-23T01:32:30.9160542Z     tmp78 = tmp77 - tmp13
2022-11-23T01:32:30.9160623Z     tmp79 = tmp78 + tmp14
2022-11-23T01:32:30.9160710Z     tmp80 = tl.minimum(tmp79, tmp20)
2022-11-23T01:32:30.9160804Z     tmp81 = tl.maximum(tmp78, tmp4)
2022-11-23T01:32:30.9160898Z     tmp82 = tl.minimum(tmp80, tmp7)
2022-11-23T01:32:30.9161012Z     tmp83 = tmp82 - tmp81
2022-11-23T01:32:30.9161092Z     tmp84 = tmp83 * tmp30
2022-11-23T01:32:30.9161187Z     tmp85 = tl.minimum(tmp76, tmp32)
2022-11-23T01:32:30.9161332Z     tmp86 = tl.load(in_ptr0 + (tmp35 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9161405Z     tmp87 = tmp86 / tmp84
2022-11-23T01:32:30.9161488Z     tmp88 = tmp76 < tmp8
2022-11-23T01:32:30.9161567Z     tmp89 = tmp88 & tmp39
2022-11-23T01:32:30.9161647Z     tmp90 = tmp75 + tmp87
2022-11-23T01:32:30.9161748Z     tmp91 = tl.where(tmp89, tmp90, tmp75)
2022-11-23T01:32:30.9161831Z     tmp92 = tmp83 * tmp50
2022-11-23T01:32:30.9161976Z     tmp93 = tl.load(in_ptr0 + (tmp52 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9162052Z     tmp94 = tmp93 / tmp92
2022-11-23T01:32:30.9162133Z     tmp95 = tmp88 & tmp55
2022-11-23T01:32:30.9162214Z     tmp96 = tmp91 + tmp94
2022-11-23T01:32:30.9162314Z     tmp97 = tl.where(tmp95, tmp96, tmp91)
2022-11-23T01:32:30.9162394Z     tmp98 = tmp83 * tmp67
2022-11-23T01:32:30.9162541Z     tmp99 = tl.load(in_ptr0 + (tmp69 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9162625Z     tmp100 = tmp99 / tmp98
2022-11-23T01:32:30.9162700Z     tmp101 = tmp88 & tmp72
2022-11-23T01:32:30.9162783Z     tmp102 = tmp97 + tmp100
2022-11-23T01:32:30.9162891Z     tmp103 = tl.where(tmp101, tmp102, tmp97)
2022-11-23T01:32:30.9162972Z     tmp104 = tmp5 + tmp59
2022-11-23T01:32:30.9163054Z     tmp105 = tmp104 * tmp13
2022-11-23T01:32:30.9163172Z     tmp106 = tmp105 - tmp13
2022-11-23T01:32:30.9163255Z     tmp107 = tmp106 + tmp14
2022-11-23T01:32:30.9163349Z     tmp108 = tl.minimum(tmp107, tmp20)
2022-11-23T01:32:30.9163449Z     tmp109 = tl.maximum(tmp106, tmp4)
2022-11-23T01:32:30.9163542Z     tmp110 = tl.minimum(tmp108, tmp7)
2022-11-23T01:32:30.9163662Z     tmp111 = tmp110 - tmp109
2022-11-23T01:32:30.9163744Z     tmp112 = tmp111 * tmp30
2022-11-23T01:32:30.9163840Z     tmp113 = tl.minimum(tmp104, tmp32)
2022-11-23T01:32:30.9163989Z     tmp114 = tl.load(in_ptr0 + (tmp35 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9164067Z     tmp115 = tmp114 / tmp112
2022-11-23T01:32:30.9164150Z     tmp116 = tmp104 < tmp8
2022-11-23T01:32:30.9164233Z     tmp117 = tmp116 & tmp39
2022-11-23T01:32:30.9164316Z     tmp118 = tmp103 + tmp115
2022-11-23T01:32:30.9164422Z     tmp119 = tl.where(tmp117, tmp118, tmp103)
2022-11-23T01:32:30.9164504Z     tmp120 = tmp111 * tmp50
2022-11-23T01:32:30.9164652Z     tmp121 = tl.load(in_ptr0 + (tmp52 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9164731Z     tmp122 = tmp121 / tmp120
2022-11-23T01:32:30.9164812Z     tmp123 = tmp116 & tmp55
2022-11-23T01:32:30.9164902Z     tmp124 = tmp119 + tmp122
2022-11-23T01:32:30.9165006Z     tmp125 = tl.where(tmp123, tmp124, tmp119)
2022-11-23T01:32:30.9165088Z     tmp126 = tmp111 * tmp67
2022-11-23T01:32:30.9165231Z     tmp127 = tl.load(in_ptr0 + (tmp69 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9165315Z     tmp128 = tmp127 / tmp126
2022-11-23T01:32:30.9165389Z     tmp129 = tmp116 & tmp72
2022-11-23T01:32:30.9165472Z     tmp130 = tmp125 + tmp128
2022-11-23T01:32:30.9165578Z     tmp131 = tl.where(tmp129, tmp130, tmp125)
2022-11-23T01:32:30.9165720Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp131, xmask)
2022-11-23T01:32:30.9165808Z ''')
2022-11-23T01:32:30.9165814Z 
2022-11-23T01:32:30.9165819Z 
2022-11-23T01:32:30.9165914Z async_compile.wait(globals())
2022-11-23T01:32:30.9165993Z del async_compile
2022-11-23T01:32:30.9165998Z 
2022-11-23T01:32:30.9166067Z def call(args):
2022-11-23T01:32:30.9166183Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9166280Z     args.clear()
2022-11-23T01:32:30.9166507Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9166600Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9166761Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 300, grid=grid(300), stream=stream0)
2022-11-23T01:32:30.9166836Z     del arg0_1
2022-11-23T01:32:30.9166905Z     return (buf0, )
2022-11-23T01:32:30.9166918Z 
2022-11-23T01:32:30.9166923Z 
2022-11-23T01:32:30.9166997Z if __name__ == "__main__":
2022-11-23T01:32:30.9167120Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9167252Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9167481Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9167711Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9167839Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9167846Z 
2022-11-23T01:32:30.9168221Z [2022-11-23 01:29:10,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdo5gr2ahjf4ameqa25sttclk7ibvrekqlelhbzu6eajo56rgoe.py
2022-11-23T01:32:30.9168495Z [2022-11-23 01:29:10,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374
2022-11-23T01:32:30.9168501Z 
2022-11-23T01:32:30.9168603Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9168671Z import torch
2022-11-23T01:32:30.9168747Z import random
2022-11-23T01:32:30.9168870Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9168997Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9169002Z 
2022-11-23T01:32:30.9169087Z aten = torch.ops.aten
2022-11-23T01:32:30.9169230Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9169329Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9169338Z 
2022-11-23T01:32:30.9169407Z import triton
2022-11-23T01:32:30.9169505Z import triton.language as tl
2022-11-23T01:32:30.9169635Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9169780Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9169786Z 
2022-11-23T01:32:30.9169790Z 
2022-11-23T01:32:30.9169979Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9170056Z import triton
2022-11-23T01:32:30.9170151Z import triton.language as tl
2022-11-23T01:32:30.9170269Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9170367Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9170506Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9170636Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9170641Z 
2022-11-23T01:32:30.9171020Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.9171098Z @triton.jit
2022-11-23T01:32:30.9171235Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9171313Z     xnumel = 300
2022-11-23T01:32:30.9171414Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9171541Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9171626Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9171708Z     x1 = (xindex // 15)
2022-11-23T01:32:30.9171786Z     x0 = xindex % 15
2022-11-23T01:32:30.9171858Z     x2 = xindex
2022-11-23T01:32:30.9171964Z     tmp0 = (-1) + x1
2022-11-23T01:32:30.9172061Z     tmp1 = (-1) + x0
2022-11-23T01:32:30.9172139Z     tmp2 = 2 + x1
2022-11-23T01:32:30.9172214Z     tmp3 = 2 + x0
2022-11-23T01:32:30.9172286Z     tmp4 = 0
2022-11-23T01:32:30.9172382Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9172476Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9172584Z     tmp7 = 20
2022-11-23T01:32:30.9172670Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9172766Z     tmp9 = 15
2022-11-23T01:32:30.9172865Z     tmp10 = tl.minimum(tmp3, tmp9)
2022-11-23T01:32:30.9172948Z     tmp11 = tmp5 + tmp4
2022-11-23T01:32:30.9173031Z     tmp12 = tmp6 + tmp4
2022-11-23T01:32:30.9173104Z     tmp13 = 1
2022-11-23T01:32:30.9173177Z     tmp14 = 3
2022-11-23T01:32:30.9173253Z     tmp15 = tmp11 * tmp13
2022-11-23T01:32:30.9173371Z     tmp16 = tmp15 - tmp13
2022-11-23T01:32:30.9173454Z     tmp17 = tmp12 * tmp13
2022-11-23T01:32:30.9173568Z     tmp18 = tmp17 - tmp13
2022-11-23T01:32:30.9173648Z     tmp19 = tmp16 + tmp14
2022-11-23T01:32:30.9173729Z     tmp20 = tmp7 + tmp13
2022-11-23T01:32:30.9173818Z     tmp21 = tl.minimum(tmp19, tmp20)
2022-11-23T01:32:30.9173901Z     tmp22 = tmp18 + tmp14
2022-11-23T01:32:30.9173983Z     tmp23 = tmp9 + tmp13
2022-11-23T01:32:30.9174080Z     tmp24 = tl.minimum(tmp22, tmp23)
2022-11-23T01:32:30.9174176Z     tmp25 = tl.maximum(tmp16, tmp4)
2022-11-23T01:32:30.9174274Z     tmp26 = tl.maximum(tmp18, tmp4)
2022-11-23T01:32:30.9174368Z     tmp27 = tl.minimum(tmp21, tmp7)
2022-11-23T01:32:30.9174452Z     tmp28 = tl.minimum(tmp24, tmp9)
2022-11-23T01:32:30.9174569Z     tmp29 = tmp27 - tmp25
2022-11-23T01:32:30.9174683Z     tmp30 = tmp28 - tmp26
2022-11-23T01:32:30.9174766Z     tmp31 = tmp29 * tmp30
2022-11-23T01:32:30.9174880Z     tmp32 = tmp8 - tmp13
2022-11-23T01:32:30.9174976Z     tmp33 = tl.minimum(tmp11, tmp32)
2022-11-23T01:32:30.9175089Z     tmp34 = tmp10 - tmp13
2022-11-23T01:32:30.9175177Z     tmp35 = tl.minimum(tmp12, tmp34)
2022-11-23T01:32:30.9175348Z     tmp36 = tl.load(in_ptr0 + (tmp35 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9175432Z     tmp37 = tmp36 / tmp31
2022-11-23T01:32:30.9175511Z     tmp38 = tmp11 < tmp8
2022-11-23T01:32:30.9175591Z     tmp39 = tmp12 < tmp10
2022-11-23T01:32:30.9175671Z     tmp40 = tmp38 & tmp39
2022-11-23T01:32:30.9175746Z     tmp41 = 0.0
2022-11-23T01:32:30.9175843Z     tmp42 = tl.where(tmp40, tmp37, tmp41)
2022-11-23T01:32:30.9175926Z     tmp43 = tmp6 + tmp13
2022-11-23T01:32:30.9184222Z     tmp44 = tmp43 * tmp13
2022-11-23T01:32:30.9184399Z     tmp45 = tmp44 - tmp13
2022-11-23T01:32:30.9184483Z     tmp46 = tmp45 + tmp14
2022-11-23T01:32:30.9184582Z     tmp47 = tl.minimum(tmp46, tmp23)
2022-11-23T01:32:30.9184679Z     tmp48 = tl.maximum(tmp45, tmp4)
2022-11-23T01:32:30.9184765Z     tmp49 = tl.minimum(tmp47, tmp9)
2022-11-23T01:32:30.9184885Z     tmp50 = tmp49 - tmp48
2022-11-23T01:32:30.9184968Z     tmp51 = tmp29 * tmp50
2022-11-23T01:32:30.9185065Z     tmp52 = tl.minimum(tmp43, tmp34)
2022-11-23T01:32:30.9185233Z     tmp53 = tl.load(in_ptr0 + (tmp52 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9185316Z     tmp54 = tmp53 / tmp51
2022-11-23T01:32:30.9185397Z     tmp55 = tmp43 < tmp10
2022-11-23T01:32:30.9185470Z     tmp56 = tmp38 & tmp55
2022-11-23T01:32:30.9185551Z     tmp57 = tmp42 + tmp54
2022-11-23T01:32:30.9185659Z     tmp58 = tl.where(tmp56, tmp57, tmp42)
2022-11-23T01:32:30.9185735Z     tmp59 = 2
2022-11-23T01:32:30.9185816Z     tmp60 = tmp6 + tmp59
2022-11-23T01:32:30.9185897Z     tmp61 = tmp60 * tmp13
2022-11-23T01:32:30.9186003Z     tmp62 = tmp61 - tmp13
2022-11-23T01:32:30.9186083Z     tmp63 = tmp62 + tmp14
2022-11-23T01:32:30.9186179Z     tmp64 = tl.minimum(tmp63, tmp23)
2022-11-23T01:32:30.9186273Z     tmp65 = tl.maximum(tmp62, tmp4)
2022-11-23T01:32:30.9186367Z     tmp66 = tl.minimum(tmp64, tmp9)
2022-11-23T01:32:30.9186479Z     tmp67 = tmp66 - tmp65
2022-11-23T01:32:30.9186559Z     tmp68 = tmp29 * tmp67
2022-11-23T01:32:30.9186646Z     tmp69 = tl.minimum(tmp60, tmp34)
2022-11-23T01:32:30.9186810Z     tmp70 = tl.load(in_ptr0 + (tmp69 + (15*tmp33) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9186890Z     tmp71 = tmp70 / tmp68
2022-11-23T01:32:30.9186973Z     tmp72 = tmp60 < tmp10
2022-11-23T01:32:30.9187054Z     tmp73 = tmp38 & tmp72
2022-11-23T01:32:30.9187133Z     tmp74 = tmp58 + tmp71
2022-11-23T01:32:30.9187337Z     tmp75 = tl.where(tmp73, tmp74, tmp58)
2022-11-23T01:32:30.9187443Z     tmp76 = tmp5 + tmp13
2022-11-23T01:32:30.9187523Z     tmp77 = tmp76 * tmp13
2022-11-23T01:32:30.9187638Z     tmp78 = tmp77 - tmp13
2022-11-23T01:32:30.9187720Z     tmp79 = tmp78 + tmp14
2022-11-23T01:32:30.9187818Z     tmp80 = tl.minimum(tmp79, tmp20)
2022-11-23T01:32:30.9187914Z     tmp81 = tl.maximum(tmp78, tmp4)
2022-11-23T01:32:30.9188008Z     tmp82 = tl.minimum(tmp80, tmp7)
2022-11-23T01:32:30.9188113Z     tmp83 = tmp82 - tmp81
2022-11-23T01:32:30.9188193Z     tmp84 = tmp83 * tmp30
2022-11-23T01:32:30.9188287Z     tmp85 = tl.minimum(tmp76, tmp32)
2022-11-23T01:32:30.9188446Z     tmp86 = tl.load(in_ptr0 + (tmp35 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9188528Z     tmp87 = tmp86 / tmp84
2022-11-23T01:32:30.9188609Z     tmp88 = tmp76 < tmp8
2022-11-23T01:32:30.9188689Z     tmp89 = tmp88 & tmp39
2022-11-23T01:32:30.9188762Z     tmp90 = tmp75 + tmp87
2022-11-23T01:32:30.9188863Z     tmp91 = tl.where(tmp89, tmp90, tmp75)
2022-11-23T01:32:30.9188946Z     tmp92 = tmp83 * tmp50
2022-11-23T01:32:30.9189112Z     tmp93 = tl.load(in_ptr0 + (tmp52 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9189191Z     tmp94 = tmp93 / tmp92
2022-11-23T01:32:30.9189271Z     tmp95 = tmp88 & tmp55
2022-11-23T01:32:30.9189349Z     tmp96 = tmp91 + tmp94
2022-11-23T01:32:30.9189442Z     tmp97 = tl.where(tmp95, tmp96, tmp91)
2022-11-23T01:32:30.9189523Z     tmp98 = tmp83 * tmp67
2022-11-23T01:32:30.9189684Z     tmp99 = tl.load(in_ptr0 + (tmp69 + (15*tmp85) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9189768Z     tmp100 = tmp99 / tmp98
2022-11-23T01:32:30.9189849Z     tmp101 = tmp88 & tmp72
2022-11-23T01:32:30.9189931Z     tmp102 = tmp97 + tmp100
2022-11-23T01:32:30.9190038Z     tmp103 = tl.where(tmp101, tmp102, tmp97)
2022-11-23T01:32:30.9190112Z     tmp104 = tmp5 + tmp59
2022-11-23T01:32:30.9190203Z     tmp105 = tmp104 * tmp13
2022-11-23T01:32:30.9190403Z     tmp106 = tmp105 - tmp13
2022-11-23T01:32:30.9190506Z     tmp107 = tmp106 + tmp14
2022-11-23T01:32:30.9190619Z     tmp108 = tl.minimum(tmp107, tmp20)
2022-11-23T01:32:30.9190717Z     tmp109 = tl.maximum(tmp106, tmp4)
2022-11-23T01:32:30.9190812Z     tmp110 = tl.minimum(tmp108, tmp7)
2022-11-23T01:32:30.9190927Z     tmp111 = tmp110 - tmp109
2022-11-23T01:32:30.9191012Z     tmp112 = tmp111 * tmp30
2022-11-23T01:32:30.9191107Z     tmp113 = tl.minimum(tmp104, tmp32)
2022-11-23T01:32:30.9191274Z     tmp114 = tl.load(in_ptr0 + (tmp35 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9191359Z     tmp115 = tmp114 / tmp112
2022-11-23T01:32:30.9191441Z     tmp116 = tmp104 < tmp8
2022-11-23T01:32:30.9191524Z     tmp117 = tmp116 & tmp39
2022-11-23T01:32:30.9191600Z     tmp118 = tmp103 + tmp115
2022-11-23T01:32:30.9191707Z     tmp119 = tl.where(tmp117, tmp118, tmp103)
2022-11-23T01:32:30.9191788Z     tmp120 = tmp111 * tmp50
2022-11-23T01:32:30.9191956Z     tmp121 = tl.load(in_ptr0 + (tmp52 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9192043Z     tmp122 = tmp121 / tmp120
2022-11-23T01:32:30.9192125Z     tmp123 = tmp116 & tmp55
2022-11-23T01:32:30.9192209Z     tmp124 = tmp119 + tmp122
2022-11-23T01:32:30.9192307Z     tmp125 = tl.where(tmp123, tmp124, tmp119)
2022-11-23T01:32:30.9192388Z     tmp126 = tmp111 * tmp67
2022-11-23T01:32:30.9192547Z     tmp127 = tl.load(in_ptr0 + (tmp69 + (15*tmp113) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9192630Z     tmp128 = tmp127 / tmp126
2022-11-23T01:32:30.9192712Z     tmp129 = tmp116 & tmp72
2022-11-23T01:32:30.9192794Z     tmp130 = tmp125 + tmp128
2022-11-23T01:32:30.9192899Z     tmp131 = tl.where(tmp129, tmp130, tmp125)
2022-11-23T01:32:30.9193032Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp131, xmask)
2022-11-23T01:32:30.9193120Z ''')
2022-11-23T01:32:30.9193126Z 
2022-11-23T01:32:30.9193130Z 
2022-11-23T01:32:30.9193264Z async_compile.wait(globals())
2022-11-23T01:32:30.9193365Z del async_compile
2022-11-23T01:32:30.9193371Z 
2022-11-23T01:32:30.9193448Z def call(args):
2022-11-23T01:32:30.9193529Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9193606Z     args.clear()
2022-11-23T01:32:30.9193832Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9193919Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9194086Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 300, grid=grid(300), stream=stream0)
2022-11-23T01:32:30.9194161Z     del arg0_1
2022-11-23T01:32:30.9194239Z     return (buf0, )
2022-11-23T01:32:30.9194244Z 
2022-11-23T01:32:30.9194249Z 
2022-11-23T01:32:30.9194335Z if __name__ == "__main__":
2022-11-23T01:32:30.9194455Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9194590Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9194818Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9195033Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9195156Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9195162Z 
2022-11-23T01:32:30.9195235Z ok (0.700s)
2022-11-23T01:32:30.9195569Z   test_avg_pool2d_backward3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9195885Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9196108Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9196366Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9196649Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9196969Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9197306Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9197629Z [2022-11-23 01:29:10,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9198005Z [2022-11-23 01:29:10,298] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078> 
2022-11-23T01:32:30.9198109Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9198231Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9198237Z 
2022-11-23T01:32:30.9198338Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9198344Z 
2022-11-23T01:32:30.9198441Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9198446Z 
2022-11-23T01:32:30.9198543Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9198638Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9198726Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9198740Z 
2022-11-23T01:32:30.9198828Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9198921Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9199013Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9199018Z 
2022-11-23T01:32:30.9199111Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9199207Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9199301Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9199333Z 
2022-11-23T01:32:30.9199435Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9199462Z 
2022-11-23T01:32:30.9199560Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9199566Z 
2022-11-23T01:32:30.9199656Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9199670Z 
2022-11-23T01:32:30.9199757Z 4079          32 CALL_METHOD              8
2022-11-23T01:32:30.9199842Z               34 RETURN_VALUE
2022-11-23T01:32:30.9199910Z  
2022-11-23T01:32:30.9199915Z 
2022-11-23T01:32:30.9200231Z [2022-11-23 01:29:10,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:30.9200453Z [2022-11-23 01:29:10,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9200782Z [2022-11-23 01:29:10,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9201092Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080
2022-11-23T01:32:30.9201372Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9201675Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081
2022-11-23T01:32:30.9201977Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9202285Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082
2022-11-23T01:32:30.9202619Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9202986Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9203384Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9203691Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083
2022-11-23T01:32:30.9204040Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9204420Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9204840Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9205146Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084
2022-11-23T01:32:30.9205518Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9205923Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9206401Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9206724Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085
2022-11-23T01:32:30.9207130Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9207451Z [2022-11-23 01:29:10,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086
2022-11-23T01:32:30.9207902Z [2022-11-23 01:29:10,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9208210Z [2022-11-23 01:29:10,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087
2022-11-23T01:32:30.9208681Z [2022-11-23 01:29:10,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9208988Z [2022-11-23 01:29:10,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:30.9209505Z [2022-11-23 01:29:10,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9209757Z [2022-11-23 01:29:10,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9210129Z [2022-11-23 01:29:10,306] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078>
2022-11-23T01:32:30.9210376Z [2022-11-23 01:29:10,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9210616Z [2022-11-23 01:29:10,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9210874Z [2022-11-23 01:29:10,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9211121Z [2022-11-23 01:29:10,309] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9211318Z [2022-11-23 01:29:10,309] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9211466Z  __compiled_fn_385 <eval_with_key>.2376 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9211564Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9211658Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9211844Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T01:32:30.9211970Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9211975Z 
2022-11-23T01:32:30.9212304Z [2022-11-23 01:29:10,310] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9212406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9212497Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9212591Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9212729Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9212824Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9212943Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9213025Z              12 RETURN_VALUE
2022-11-23T01:32:30.9213030Z 
2022-11-23T01:32:30.9213097Z  
2022-11-23T01:32:30.9213418Z [2022-11-23 01:29:10,310] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9213536Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_385)
2022-11-23T01:32:30.9213633Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9213731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9213814Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9213910Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9214010Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9214085Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9214182Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9214277Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9214363Z              18 RETURN_VALUE
2022-11-23T01:32:30.9214368Z 
2022-11-23T01:32:30.9214435Z  
2022-11-23T01:32:30.9214627Z [2022-11-23 01:29:10,310] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9214708Z  - 
2022-11-23T01:32:30.9214834Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9214898Z             {
2022-11-23T01:32:30.9215048Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9215244Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9215369Z                 'obj_weakref': None
2022-11-23T01:32:30.9215599Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9215669Z             }
2022-11-23T01:32:30.9215738Z             
2022-11-23T01:32:30.9215807Z  - 
2022-11-23T01:32:30.9215936Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9216008Z             {
2022-11-23T01:32:30.9216159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9216272Z                 'code': None,
2022-11-23T01:32:30.9216481Z                 'obj_weakref': <weakref at 0x7f206013a520; to 'Tensor' at 0x7f2023354540>
2022-11-23T01:32:30.9216737Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9216800Z             }
2022-11-23T01:32:30.9216869Z             
2022-11-23T01:32:30.9216945Z  - 
2022-11-23T01:32:30.9217075Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9217143Z             {
2022-11-23T01:32:30.9217293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9217399Z                 'code': None,
2022-11-23T01:32:30.9217613Z                 'obj_weakref': <weakref at 0x7f201e34c220; to 'Tensor' at 0x7f201e28aa20>
2022-11-23T01:32:30.9217871Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9217947Z             }
2022-11-23T01:32:30.9218018Z             
2022-11-23T01:32:30.9218093Z  - 
2022-11-23T01:32:30.9218231Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9218301Z             {
2022-11-23T01:32:30.9218436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9218615Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9218742Z                 'obj_weakref': None
2022-11-23T01:32:30.9219195Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9219268Z             }
2022-11-23T01:32:30.9219338Z             
2022-11-23T01:32:30.9219418Z  - 
2022-11-23T01:32:30.9219539Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9219610Z             {
2022-11-23T01:32:30.9219753Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9220025Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9220174Z                 'obj_weakref': None
2022-11-23T01:32:30.9220403Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9220473Z             }
2022-11-23T01:32:30.9220535Z             
2022-11-23T01:32:30.9220614Z  - 
2022-11-23T01:32:30.9220752Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9220822Z             {
2022-11-23T01:32:30.9220949Z                 'guard_types': None,
2022-11-23T01:32:30.9221061Z                 'code': None,
2022-11-23T01:32:30.9221178Z                 'obj_weakref': None
2022-11-23T01:32:30.9221306Z                 'guarded_class': None
2022-11-23T01:32:30.9221374Z             }
2022-11-23T01:32:30.9221444Z             
2022-11-23T01:32:30.9221709Z [2022-11-23 01:29:10,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375
2022-11-23T01:32:30.9221966Z [2022-11-23 01:29:10,338] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9222337Z [2022-11-23 01:29:10,454] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4j/c4jxitb4jk6cgkbxyqnir7j3ifrbjpq6v3omvvqghlj6l3d7biq7.py
2022-11-23T01:32:30.9222611Z [2022-11-23 01:29:10,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375
2022-11-23T01:32:30.9222848Z [2022-11-23 01:29:10,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9223167Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9223394Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9223654Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9223938Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9224267Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9224613Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9224940Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9225320Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078> 
2022-11-23T01:32:30.9225423Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9225539Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9225556Z 
2022-11-23T01:32:30.9225648Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9225653Z 
2022-11-23T01:32:30.9225749Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9225754Z 
2022-11-23T01:32:30.9225851Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9225947Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9226043Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9226048Z 
2022-11-23T01:32:30.9226143Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9226238Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9226332Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9226337Z 
2022-11-23T01:32:30.9226423Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9226515Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9226609Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9226641Z 
2022-11-23T01:32:30.9226743Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9226768Z 
2022-11-23T01:32:30.9226868Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9226873Z 
2022-11-23T01:32:30.9226973Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9226978Z 
2022-11-23T01:32:30.9227073Z 4079          32 CALL_METHOD              8
2022-11-23T01:32:30.9227157Z               34 RETURN_VALUE
2022-11-23T01:32:30.9227216Z  
2022-11-23T01:32:30.9227230Z 
2022-11-23T01:32:30.9227546Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:30.9227770Z [2022-11-23 01:29:10,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9228105Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9228421Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080
2022-11-23T01:32:30.9228698Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9229016Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081
2022-11-23T01:32:30.9229321Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9229625Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082
2022-11-23T01:32:30.9229967Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9230397Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9230795Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9231095Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083
2022-11-23T01:32:30.9231444Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9231826Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9232301Z [2022-11-23 01:29:10,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9232616Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084
2022-11-23T01:32:30.9232988Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9233388Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9233857Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9234200Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085
2022-11-23T01:32:30.9234601Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9234913Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086
2022-11-23T01:32:30.9235356Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9235666Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087
2022-11-23T01:32:30.9236135Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9236448Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:32:30.9236967Z [2022-11-23 01:29:10,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9237224Z [2022-11-23 01:29:10,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9237603Z [2022-11-23 01:29:10,466] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078>
2022-11-23T01:32:30.9237854Z [2022-11-23 01:29:10,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9238093Z [2022-11-23 01:29:10,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9238353Z [2022-11-23 01:29:10,467] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9238607Z [2022-11-23 01:29:10,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9238803Z [2022-11-23 01:29:10,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9238950Z  __compiled_fn_386 <eval_with_key>.2382 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9239046Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9239133Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9239318Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T01:32:30.9239445Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9239451Z 
2022-11-23T01:32:30.9239783Z [2022-11-23 01:29:10,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9239884Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9239983Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9240078Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9240204Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9240291Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9240437Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9240520Z              12 RETURN_VALUE
2022-11-23T01:32:30.9240525Z 
2022-11-23T01:32:30.9240591Z  
2022-11-23T01:32:30.9240919Z [2022-11-23 01:29:10,471] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9241044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_386)
2022-11-23T01:32:30.9241141Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9241231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9241314Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9241409Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9241507Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9241593Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9241691Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9241790Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9241864Z              18 RETURN_VALUE
2022-11-23T01:32:30.9241875Z 
2022-11-23T01:32:30.9241934Z  
2022-11-23T01:32:30.9242122Z [2022-11-23 01:29:10,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9242198Z  - 
2022-11-23T01:32:30.9242323Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9242393Z             {
2022-11-23T01:32:30.9242540Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9242735Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9242855Z                 'obj_weakref': None
2022-11-23T01:32:30.9243084Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9243155Z             }
2022-11-23T01:32:30.9243224Z             
2022-11-23T01:32:30.9243303Z  - 
2022-11-23T01:32:30.9243436Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9243507Z             {
2022-11-23T01:32:30.9243652Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9243766Z                 'code': None,
2022-11-23T01:32:30.9243982Z                 'obj_weakref': <weakref at 0x7f1feaced940; to 'Tensor' at 0x7f2023065760>
2022-11-23T01:32:30.9244237Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9244307Z             }
2022-11-23T01:32:30.9244376Z             
2022-11-23T01:32:30.9244454Z  - 
2022-11-23T01:32:30.9244576Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9244646Z             {
2022-11-23T01:32:30.9244797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9244910Z                 'code': None,
2022-11-23T01:32:30.9245127Z                 'obj_weakref': <weakref at 0x7f1feaceec00; to 'Tensor' at 0x7f2151f385e0>
2022-11-23T01:32:30.9245385Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9245457Z             }
2022-11-23T01:32:30.9245519Z             
2022-11-23T01:32:30.9245594Z  - 
2022-11-23T01:32:30.9245730Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9245799Z             {
2022-11-23T01:32:30.9245941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9246119Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9246245Z                 'obj_weakref': None
2022-11-23T01:32:30.9246475Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9246545Z             }
2022-11-23T01:32:30.9246612Z             
2022-11-23T01:32:30.9246687Z  - 
2022-11-23T01:32:30.9246816Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9246884Z             {
2022-11-23T01:32:30.9247019Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9247275Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9247431Z                 'obj_weakref': None
2022-11-23T01:32:30.9247659Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9247729Z             }
2022-11-23T01:32:30.9247797Z             
2022-11-23T01:32:30.9247873Z  - 
2022-11-23T01:32:30.9248010Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9248072Z             {
2022-11-23T01:32:30.9248197Z                 'guard_types': None,
2022-11-23T01:32:30.9248311Z                 'code': None,
2022-11-23T01:32:30.9248436Z                 'obj_weakref': None
2022-11-23T01:32:30.9248566Z                 'guarded_class': None
2022-11-23T01:32:30.9248635Z             }
2022-11-23T01:32:30.9248696Z             
2022-11-23T01:32:30.9248966Z [2022-11-23 01:29:10,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376
2022-11-23T01:32:30.9249222Z [2022-11-23 01:29:10,490] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9249591Z [2022-11-23 01:29:10,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/caj7tgkn2f4vut2uxchcfj4trz4it7ajyr4aeonearo2oo4pdy4l.py
2022-11-23T01:32:30.9249862Z [2022-11-23 01:29:10,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376
2022-11-23T01:32:30.9249868Z 
2022-11-23T01:32:30.9249969Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9250047Z import torch
2022-11-23T01:32:30.9250123Z import random
2022-11-23T01:32:30.9250239Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9250366Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9250371Z 
2022-11-23T01:32:30.9250455Z aten = torch.ops.aten
2022-11-23T01:32:30.9250597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9250695Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9250701Z 
2022-11-23T01:32:30.9250778Z import triton
2022-11-23T01:32:30.9250873Z import triton.language as tl
2022-11-23T01:32:30.9251005Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9251143Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9251155Z 
2022-11-23T01:32:30.9251160Z 
2022-11-23T01:32:30.9251341Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9251418Z import triton
2022-11-23T01:32:30.9251513Z import triton.language as tl
2022-11-23T01:32:30.9251630Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9251733Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9251871Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9252000Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9252006Z 
2022-11-23T01:32:30.9252390Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9252467Z @triton.jit
2022-11-23T01:32:30.9252604Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9252684Z     xnumel = 889056
2022-11-23T01:32:30.9252784Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9252919Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9253006Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9253091Z     x1 = (xindex // 21) % 21
2022-11-23T01:32:30.9253161Z     x0 = xindex % 21
2022-11-23T01:32:30.9253244Z     x2 = (xindex // 441)
2022-11-23T01:32:30.9253317Z     x5 = xindex
2022-11-23T01:32:30.9253397Z     tmp0 = ((1 + x1) // 2)
2022-11-23T01:32:30.9253476Z     tmp1 = ((1 + x0) // 2)
2022-11-23T01:32:30.9253555Z     tmp2 = 1 + (x1 // 2)
2022-11-23T01:32:30.9253626Z     tmp3 = 1 + (x0 // 2)
2022-11-23T01:32:30.9253698Z     tmp4 = 0
2022-11-23T01:32:30.9253794Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9253920Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9254013Z     tmp7 = 11
2022-11-23T01:32:30.9254109Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9254202Z     tmp9 = tl.minimum(tmp3, tmp7)
2022-11-23T01:32:30.9254276Z     tmp10 = tmp5 + tmp4
2022-11-23T01:32:30.9254357Z     tmp11 = tmp6 + tmp4
2022-11-23T01:32:30.9254437Z     tmp12 = 1
2022-11-23T01:32:30.9254556Z     tmp13 = tmp8 - tmp12
2022-11-23T01:32:30.9254653Z     tmp14 = tl.minimum(tmp10, tmp13)
2022-11-23T01:32:30.9254766Z     tmp15 = tmp9 - tmp12
2022-11-23T01:32:30.9254864Z     tmp16 = tl.minimum(tmp11, tmp15)
2022-11-23T01:32:30.9255015Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (11*tmp14) + (121*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9255095Z     tmp18 = tmp17 / 1
2022-11-23T01:32:30.9255181Z     tmp19 = tmp10 < tmp8
2022-11-23T01:32:30.9255260Z     tmp20 = tmp11 < tmp9
2022-11-23T01:32:30.9255341Z     tmp21 = tmp19 & tmp20
2022-11-23T01:32:30.9255416Z     tmp22 = 0.0
2022-11-23T01:32:30.9255519Z     tmp23 = tl.where(tmp21, tmp18, tmp22)
2022-11-23T01:32:30.9255654Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:30.9255741Z ''')
2022-11-23T01:32:30.9255747Z 
2022-11-23T01:32:30.9255751Z 
2022-11-23T01:32:30.9255847Z async_compile.wait(globals())
2022-11-23T01:32:30.9255923Z del async_compile
2022-11-23T01:32:30.9255929Z 
2022-11-23T01:32:30.9256005Z def call(args):
2022-11-23T01:32:30.9256085Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9256161Z     args.clear()
2022-11-23T01:32:30.9256390Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9256483Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9256650Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 889056, grid=grid(889056), stream=stream0)
2022-11-23T01:32:30.9256726Z     del arg0_1
2022-11-23T01:32:30.9256804Z     return (buf0, )
2022-11-23T01:32:30.9256809Z 
2022-11-23T01:32:30.9256814Z 
2022-11-23T01:32:30.9256898Z if __name__ == "__main__":
2022-11-23T01:32:30.9257022Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9257152Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9257384Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9257616Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9257740Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9257745Z 
2022-11-23T01:32:30.9257750Z 
2022-11-23T01:32:30.9257850Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9257925Z import torch
2022-11-23T01:32:30.9258000Z import random
2022-11-23T01:32:30.9258123Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9258250Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9258255Z 
2022-11-23T01:32:30.9258331Z aten = torch.ops.aten
2022-11-23T01:32:30.9258474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9258578Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9258584Z 
2022-11-23T01:32:30.9258659Z import triton
2022-11-23T01:32:30.9258753Z import triton.language as tl
2022-11-23T01:32:30.9259077Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9259224Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9259229Z 
2022-11-23T01:32:30.9259234Z 
2022-11-23T01:32:30.9259425Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9259495Z import triton
2022-11-23T01:32:30.9259588Z import triton.language as tl
2022-11-23T01:32:30.9259710Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9259816Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9259952Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9260082Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9260088Z 
2022-11-23T01:32:30.9260531Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9260632Z @triton.jit
2022-11-23T01:32:30.9260762Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9260839Z     xnumel = 889056
2022-11-23T01:32:30.9260939Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9261073Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9261159Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9261244Z     x1 = (xindex // 21) % 21
2022-11-23T01:32:30.9261323Z     x0 = xindex % 21
2022-11-23T01:32:30.9261396Z     x2 = (xindex // 441)
2022-11-23T01:32:30.9261469Z     x5 = xindex
2022-11-23T01:32:30.9261549Z     tmp0 = ((1 + x1) // 2)
2022-11-23T01:32:30.9261629Z     tmp1 = ((1 + x0) // 2)
2022-11-23T01:32:30.9261711Z     tmp2 = 1 + (x1 // 2)
2022-11-23T01:32:30.9261791Z     tmp3 = 1 + (x0 // 2)
2022-11-23T01:32:30.9261866Z     tmp4 = 0
2022-11-23T01:32:30.9261955Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9262052Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9262126Z     tmp7 = 11
2022-11-23T01:32:30.9262218Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9262309Z     tmp9 = tl.minimum(tmp3, tmp7)
2022-11-23T01:32:30.9262390Z     tmp10 = tmp5 + tmp4
2022-11-23T01:32:30.9262464Z     tmp11 = tmp6 + tmp4
2022-11-23T01:32:30.9262537Z     tmp12 = 1
2022-11-23T01:32:30.9262652Z     tmp13 = tmp8 - tmp12
2022-11-23T01:32:30.9262749Z     tmp14 = tl.minimum(tmp10, tmp13)
2022-11-23T01:32:30.9262862Z     tmp15 = tmp9 - tmp12
2022-11-23T01:32:30.9262957Z     tmp16 = tl.minimum(tmp11, tmp15)
2022-11-23T01:32:30.9263132Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (11*tmp14) + (121*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9263204Z     tmp18 = tmp17 / 1
2022-11-23T01:32:30.9263285Z     tmp19 = tmp10 < tmp8
2022-11-23T01:32:30.9263368Z     tmp20 = tmp11 < tmp9
2022-11-23T01:32:30.9263452Z     tmp21 = tmp19 & tmp20
2022-11-23T01:32:30.9263525Z     tmp22 = 0.0
2022-11-23T01:32:30.9263627Z     tmp23 = tl.where(tmp21, tmp18, tmp22)
2022-11-23T01:32:30.9263765Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:30.9263845Z ''')
2022-11-23T01:32:30.9263851Z 
2022-11-23T01:32:30.9263863Z 
2022-11-23T01:32:30.9263952Z async_compile.wait(globals())
2022-11-23T01:32:30.9264030Z del async_compile
2022-11-23T01:32:30.9264035Z 
2022-11-23T01:32:30.9264112Z def call(args):
2022-11-23T01:32:30.9264192Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9264269Z     args.clear()
2022-11-23T01:32:30.9264500Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9264593Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9264748Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 889056, grid=grid(889056), stream=stream0)
2022-11-23T01:32:30.9264824Z     del arg0_1
2022-11-23T01:32:30.9264904Z     return (buf0, )
2022-11-23T01:32:30.9264909Z 
2022-11-23T01:32:30.9264914Z 
2022-11-23T01:32:30.9264995Z if __name__ == "__main__":
2022-11-23T01:32:30.9265114Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9265243Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9265474Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9265701Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9265817Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9265822Z 
2022-11-23T01:32:30.9265895Z ok (0.310s)
2022-11-23T01:32:30.9266232Z   test_avg_pool2d_backward4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9266585Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9266830Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9267090Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9267372Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9267697Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9268048Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9268376Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9268753Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101> 
2022-11-23T01:32:30.9268858Z  4102           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9268976Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9268981Z 
2022-11-23T01:32:30.9269080Z 4103           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9269085Z 
2022-11-23T01:32:30.9269181Z 4104           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9269186Z 
2022-11-23T01:32:30.9269284Z 4105           8 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9269382Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:30.9269478Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9269483Z 
2022-11-23T01:32:30.9269582Z 4106          14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9269673Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9269767Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9269772Z 
2022-11-23T01:32:30.9269866Z 4107          20 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9269959Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:30.9270052Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9270058Z 
2022-11-23T01:32:30.9270157Z 4108          26 LOAD_CONST               4 (True)
2022-11-23T01:32:30.9270162Z 
2022-11-23T01:32:30.9270325Z 4109          28 LOAD_CONST               5 (False)
2022-11-23T01:32:30.9270331Z 
2022-11-23T01:32:30.9270443Z 4110          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9270448Z 
2022-11-23T01:32:30.9270554Z 4102          32 CALL_METHOD              8
2022-11-23T01:32:30.9270642Z               34 RETURN_VALUE
2022-11-23T01:32:30.9270723Z  
2022-11-23T01:32:30.9270729Z 
2022-11-23T01:32:30.9271087Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:32:30.9271317Z [2022-11-23 01:29:10,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9271654Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9271972Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4103
2022-11-23T01:32:30.9272250Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9272567Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4104
2022-11-23T01:32:30.9272901Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9273222Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4105
2022-11-23T01:32:30.9273552Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9273923Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9274320Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9274630Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4106
2022-11-23T01:32:30.9274981Z [2022-11-23 01:29:10,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9275362Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9275796Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9276117Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4107
2022-11-23T01:32:30.9276500Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9276917Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9277367Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9277687Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4108
2022-11-23T01:32:30.9278095Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9278412Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4109
2022-11-23T01:32:30.9278852Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9279161Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4110
2022-11-23T01:32:30.9279669Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9279984Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:32:30.9280535Z [2022-11-23 01:29:10,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9280790Z [2022-11-23 01:29:10,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9281179Z [2022-11-23 01:29:10,609] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101>
2022-11-23T01:32:30.9281433Z [2022-11-23 01:29:10,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9281678Z [2022-11-23 01:29:10,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9281942Z [2022-11-23 01:29:10,610] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9282198Z [2022-11-23 01:29:10,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9282397Z [2022-11-23 01:29:10,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9282534Z  __compiled_fn_387 <eval_with_key>.2388 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9282631Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9282726Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9282911Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {}
2022-11-23T01:32:30.9283035Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9283041Z 
2022-11-23T01:32:30.9283373Z [2022-11-23 01:29:10,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9283477Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9283578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9283665Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9283767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9283860Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9283959Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9284041Z              12 RETURN_VALUE
2022-11-23T01:32:30.9284046Z 
2022-11-23T01:32:30.9284112Z  
2022-11-23T01:32:30.9284437Z [2022-11-23 01:29:10,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9284556Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_387)
2022-11-23T01:32:30.9284649Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9284753Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9284835Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9284930Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9285027Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9285110Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9285205Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9285294Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9285376Z              18 RETURN_VALUE
2022-11-23T01:32:30.9285381Z 
2022-11-23T01:32:30.9285446Z  
2022-11-23T01:32:30.9285639Z [2022-11-23 01:29:10,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9285714Z  - 
2022-11-23T01:32:30.9285841Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9285911Z             {
2022-11-23T01:32:30.9286052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9286273Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9286420Z                 'obj_weakref': None
2022-11-23T01:32:30.9286653Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9286725Z             }
2022-11-23T01:32:30.9286796Z             
2022-11-23T01:32:30.9286874Z  - 
2022-11-23T01:32:30.9286998Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9287067Z             {
2022-11-23T01:32:30.9287217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9287330Z                 'code': None,
2022-11-23T01:32:30.9287546Z                 'obj_weakref': <weakref at 0x7f1feacec090; to 'Tensor' at 0x7f206814c7c0>
2022-11-23T01:32:30.9287804Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9287874Z             }
2022-11-23T01:32:30.9287935Z             
2022-11-23T01:32:30.9288011Z  - 
2022-11-23T01:32:30.9288143Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9288214Z             {
2022-11-23T01:32:30.9288363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9288475Z                 'code': None,
2022-11-23T01:32:30.9288692Z                 'obj_weakref': <weakref at 0x7f1feacec950; to 'Tensor' at 0x7f2023354540>
2022-11-23T01:32:30.9288939Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9289008Z             }
2022-11-23T01:32:30.9289076Z             
2022-11-23T01:32:30.9289152Z  - 
2022-11-23T01:32:30.9289289Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9289357Z             {
2022-11-23T01:32:30.9289499Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9289670Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9289795Z                 'obj_weakref': None
2022-11-23T01:32:30.9290031Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9290103Z             }
2022-11-23T01:32:30.9290172Z             
2022-11-23T01:32:30.9290248Z  - 
2022-11-23T01:32:30.9290377Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9290439Z             {
2022-11-23T01:32:30.9290580Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9290804Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9290931Z                 'obj_weakref': None
2022-11-23T01:32:30.9291161Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9291230Z             }
2022-11-23T01:32:30.9291300Z             
2022-11-23T01:32:30.9291368Z  - 
2022-11-23T01:32:30.9291507Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9291575Z             {
2022-11-23T01:32:30.9291704Z                 'guard_types': None,
2022-11-23T01:32:30.9291820Z                 'code': None,
2022-11-23T01:32:30.9291945Z                 'obj_weakref': None
2022-11-23T01:32:30.9292073Z                 'guarded_class': None
2022-11-23T01:32:30.9292135Z             }
2022-11-23T01:32:30.9292206Z             
2022-11-23T01:32:30.9292477Z [2022-11-23 01:29:10,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377
2022-11-23T01:32:30.9292725Z [2022-11-23 01:29:10,620] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2022-11-23T01:32:30.9293090Z [2022-11-23 01:29:10,624] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q6/cq6ikfa3rsgu4a55kbqkrix5ubk7xtndh6ahycw5zt4kiamgob4z.py
2022-11-23T01:32:30.9293359Z [2022-11-23 01:29:10,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377
2022-11-23T01:32:30.9293365Z 
2022-11-23T01:32:30.9293466Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9293543Z import torch
2022-11-23T01:32:30.9293641Z import random
2022-11-23T01:32:30.9293767Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9293918Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9293923Z 
2022-11-23T01:32:30.9294010Z aten = torch.ops.aten
2022-11-23T01:32:30.9294154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9294252Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9294257Z 
2022-11-23T01:32:30.9294335Z import triton
2022-11-23T01:32:30.9294422Z import triton.language as tl
2022-11-23T01:32:30.9294555Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9294699Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9294705Z 
2022-11-23T01:32:30.9294709Z 
2022-11-23T01:32:30.9294802Z async_compile.wait(globals())
2022-11-23T01:32:30.9294880Z del async_compile
2022-11-23T01:32:30.9294886Z 
2022-11-23T01:32:30.9294961Z def call(args):
2022-11-23T01:32:30.9295045Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9295123Z     args.clear()
2022-11-23T01:32:30.9295271Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2022-11-23T01:32:30.9295345Z     del arg0_1
2022-11-23T01:32:30.9295421Z     del arg1_1
2022-11-23T01:32:30.9295496Z     buf1 = buf0
2022-11-23T01:32:30.9295613Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2022-11-23T01:32:30.9295684Z     del buf0
2022-11-23T01:32:30.9295760Z     return (buf1, )
2022-11-23T01:32:30.9295765Z 
2022-11-23T01:32:30.9295770Z 
2022-11-23T01:32:30.9295845Z if __name__ == "__main__":
2022-11-23T01:32:30.9295964Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9296095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9296330Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9296551Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9296675Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9296683Z 
2022-11-23T01:32:30.9296759Z ok (0.027s)
2022-11-23T01:32:30.9297090Z   test_avg_pool2d_backward_cuda (__main__.CudaTests) ... [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9297415Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9297629Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9297889Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9298170Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9298496Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9299035Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9299365Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9299745Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036> 
2022-11-23T01:32:30.9299847Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9299967Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9299973Z 
2022-11-23T01:32:30.9300073Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9300078Z 
2022-11-23T01:32:30.9300221Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9300250Z 
2022-11-23T01:32:30.9300349Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9300446Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9300540Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9300545Z 
2022-11-23T01:32:30.9300640Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9300734Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9300827Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9300833Z 
2022-11-23T01:32:30.9300925Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T01:32:30.9301011Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:30.9301107Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9301112Z 
2022-11-23T01:32:30.9301212Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T01:32:30.9301217Z 
2022-11-23T01:32:30.9301318Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9301325Z 
2022-11-23T01:32:30.9301422Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9301427Z 
2022-11-23T01:32:30.9301520Z 4037          32 CALL_METHOD              8
2022-11-23T01:32:30.9301602Z               34 RETURN_VALUE
2022-11-23T01:32:30.9301671Z  
2022-11-23T01:32:30.9301676Z 
2022-11-23T01:32:30.9301995Z [2022-11-23 01:29:10,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:30.9302213Z [2022-11-23 01:29:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9302549Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9302871Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038
2022-11-23T01:32:30.9303146Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9303462Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039
2022-11-23T01:32:30.9303766Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9304075Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040
2022-11-23T01:32:30.9304409Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9304777Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9305183Z [2022-11-23 01:29:10,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9305491Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041
2022-11-23T01:32:30.9305836Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9306207Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9306664Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9306994Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042
2022-11-23T01:32:30.9307362Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9307763Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9308208Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9308515Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043
2022-11-23T01:32:30.9308918Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9309222Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044
2022-11-23T01:32:30.9309667Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9309971Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045
2022-11-23T01:32:30.9310527Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9310835Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:30.9311355Z [2022-11-23 01:29:10,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9311612Z [2022-11-23 01:29:10,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9311987Z [2022-11-23 01:29:10,636] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036>
2022-11-23T01:32:30.9312242Z [2022-11-23 01:29:10,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9312481Z [2022-11-23 01:29:10,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9312740Z [2022-11-23 01:29:10,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9312994Z [2022-11-23 01:29:10,640] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9313190Z [2022-11-23 01:29:10,640] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9313332Z  __compiled_fn_388 <eval_with_key>.2394 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9313456Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9313571Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9313748Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T01:32:30.9313877Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9313882Z 
2022-11-23T01:32:30.9314210Z [2022-11-23 01:29:10,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9314310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9314407Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9314501Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9314601Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9314693Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9314782Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9314867Z              12 RETURN_VALUE
2022-11-23T01:32:30.9314875Z 
2022-11-23T01:32:30.9314940Z  
2022-11-23T01:32:30.9315259Z [2022-11-23 01:29:10,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9315376Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_388)
2022-11-23T01:32:30.9315474Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9315572Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9315648Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9315746Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9315840Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9315922Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9316017Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9316114Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9316195Z              18 RETURN_VALUE
2022-11-23T01:32:30.9316201Z 
2022-11-23T01:32:30.9316268Z  
2022-11-23T01:32:30.9316451Z [2022-11-23 01:29:10,641] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9316527Z  - 
2022-11-23T01:32:30.9316653Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9316724Z             {
2022-11-23T01:32:30.9316872Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9317065Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9317190Z                 'obj_weakref': None
2022-11-23T01:32:30.9317408Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9317480Z             }
2022-11-23T01:32:30.9317548Z             
2022-11-23T01:32:30.9317625Z  - 
2022-11-23T01:32:30.9317753Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9317822Z             {
2022-11-23T01:32:30.9317963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9318077Z                 'code': None,
2022-11-23T01:32:30.9318301Z                 'obj_weakref': <weakref at 0x7f1feaceca40; to 'Tensor' at 0x7f20680be0c0>
2022-11-23T01:32:30.9318559Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9318628Z             }
2022-11-23T01:32:30.9318698Z             
2022-11-23T01:32:30.9318774Z  - 
2022-11-23T01:32:30.9318903Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9318964Z             {
2022-11-23T01:32:30.9319112Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9319225Z                 'code': None,
2022-11-23T01:32:30.9319442Z                 'obj_weakref': <weakref at 0x7f1fe80f8310; to 'Tensor' at 0x7f1fe81de520>
2022-11-23T01:32:30.9319702Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9319770Z             }
2022-11-23T01:32:30.9319838Z             
2022-11-23T01:32:30.9319906Z  - 
2022-11-23T01:32:30.9320075Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9320165Z             {
2022-11-23T01:32:30.9320308Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9320487Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9320612Z                 'obj_weakref': None
2022-11-23T01:32:30.9320847Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9320909Z             }
2022-11-23T01:32:30.9320980Z             
2022-11-23T01:32:30.9321055Z  - 
2022-11-23T01:32:30.9321183Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9321252Z             {
2022-11-23T01:32:30.9321397Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9321619Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9321735Z                 'obj_weakref': None
2022-11-23T01:32:30.9321965Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9322038Z             }
2022-11-23T01:32:30.9322107Z             
2022-11-23T01:32:30.9322182Z  - 
2022-11-23T01:32:30.9322319Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9322381Z             {
2022-11-23T01:32:30.9322507Z                 'guard_types': None,
2022-11-23T01:32:30.9322619Z                 'code': None,
2022-11-23T01:32:30.9322742Z                 'obj_weakref': None
2022-11-23T01:32:30.9322870Z                 'guarded_class': None
2022-11-23T01:32:30.9322940Z             }
2022-11-23T01:32:30.9323007Z             
2022-11-23T01:32:30.9323265Z [2022-11-23 01:29:10,645] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378
2022-11-23T01:32:30.9323521Z [2022-11-23 01:29:10,669] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9323897Z [2022-11-23 01:29:10,784] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/br/cbrqeozywhnwromkm4zdrl3uwteh7bk5drmujco4tpyp4ybnkbam.py
2022-11-23T01:32:30.9324172Z [2022-11-23 01:29:10,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378
2022-11-23T01:32:30.9324412Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9324731Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9324956Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9325213Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9325497Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9325825Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9326172Z [2022-11-23 01:29:10,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9326499Z [2022-11-23 01:29:10,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9326877Z [2022-11-23 01:29:10,788] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036> 
2022-11-23T01:32:30.9326983Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9327104Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:30.9327109Z 
2022-11-23T01:32:30.9327208Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9327214Z 
2022-11-23T01:32:30.9327352Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9327378Z 
2022-11-23T01:32:30.9327474Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9327571Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9327659Z               12 BUILD_LIST               2
2022-11-23T01:32:30.9327671Z 
2022-11-23T01:32:30.9327759Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9327853Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:30.9327947Z               18 BUILD_LIST               2
2022-11-23T01:32:30.9327952Z 
2022-11-23T01:32:30.9328045Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T01:32:30.9328138Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:30.9328231Z               24 BUILD_LIST               2
2022-11-23T01:32:30.9328237Z 
2022-11-23T01:32:30.9328340Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T01:32:30.9328345Z 
2022-11-23T01:32:30.9328447Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T01:32:30.9328454Z 
2022-11-23T01:32:30.9328544Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T01:32:30.9328557Z 
2022-11-23T01:32:30.9328644Z 4037          32 CALL_METHOD              8
2022-11-23T01:32:30.9328728Z               34 RETURN_VALUE
2022-11-23T01:32:30.9328795Z  
2022-11-23T01:32:30.9328800Z 
2022-11-23T01:32:30.9329123Z [2022-11-23 01:29:10,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:30.9329348Z [2022-11-23 01:29:10,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9329683Z [2022-11-23 01:29:10,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9330002Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038
2022-11-23T01:32:30.9330277Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:30.9330596Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039
2022-11-23T01:32:30.9330894Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:30.9331205Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040
2022-11-23T01:32:30.9331539Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9331907Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9332309Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9332623Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041
2022-11-23T01:32:30.9332975Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:30.9333360Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9333814Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9334149Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042
2022-11-23T01:32:30.9334523Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9334934Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9335385Z [2022-11-23 01:29:10,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9335694Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043
2022-11-23T01:32:30.9336099Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:30.9336408Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044
2022-11-23T01:32:30.9336852Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:30.9337167Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045
2022-11-23T01:32:30.9337653Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:30.9337966Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:32:30.9338490Z [2022-11-23 01:29:10,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:30.9338743Z [2022-11-23 01:29:10,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9339390Z [2022-11-23 01:29:10,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036>
2022-11-23T01:32:30.9339644Z [2022-11-23 01:29:10,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9339879Z [2022-11-23 01:29:10,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9340139Z [2022-11-23 01:29:10,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9340389Z [2022-11-23 01:29:10,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9340585Z [2022-11-23 01:29:10,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9340728Z  __compiled_fn_389 <eval_with_key>.2400 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9340874Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9340999Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9341201Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T01:32:30.9341334Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:30.9341340Z 
2022-11-23T01:32:30.9341721Z [2022-11-23 01:29:10,802] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9341827Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9341919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9342014Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9342118Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9342213Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9342311Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9342398Z              12 RETURN_VALUE
2022-11-23T01:32:30.9342405Z 
2022-11-23T01:32:30.9342470Z  
2022-11-23T01:32:30.9342833Z [2022-11-23 01:29:10,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9342957Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_389)
2022-11-23T01:32:30.9343055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9343155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9343240Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9343338Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9343435Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9343511Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9343609Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9343708Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9343791Z              18 RETURN_VALUE
2022-11-23T01:32:30.9343799Z 
2022-11-23T01:32:30.9343864Z  
2022-11-23T01:32:30.9344077Z [2022-11-23 01:29:10,802] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9344153Z  - 
2022-11-23T01:32:30.9344287Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9344349Z             {
2022-11-23T01:32:30.9344497Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9344687Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9344814Z                 'obj_weakref': None
2022-11-23T01:32:30.9345041Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9345112Z             }
2022-11-23T01:32:30.9345181Z             
2022-11-23T01:32:30.9345250Z  - 
2022-11-23T01:32:30.9345378Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9345446Z             {
2022-11-23T01:32:30.9345595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9345707Z                 'code': None,
2022-11-23T01:32:30.9345922Z                 'obj_weakref': <weakref at 0x7f1feaceda80; to 'Tensor' at 0x7f2151f385e0>
2022-11-23T01:32:30.9346180Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9346242Z             }
2022-11-23T01:32:30.9346313Z             
2022-11-23T01:32:30.9346389Z  - 
2022-11-23T01:32:30.9346519Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9346587Z             {
2022-11-23T01:32:30.9346737Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9346852Z                 'code': None,
2022-11-23T01:32:30.9347060Z                 'obj_weakref': <weakref at 0x7f1fe8169120; to 'Tensor' at 0x7f20230582c0>
2022-11-23T01:32:30.9347315Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9347384Z             }
2022-11-23T01:32:30.9347452Z             
2022-11-23T01:32:30.9347531Z  - 
2022-11-23T01:32:30.9347718Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9347806Z             {
2022-11-23T01:32:30.9347941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9348118Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9348244Z                 'obj_weakref': None
2022-11-23T01:32:30.9348476Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9348547Z             }
2022-11-23T01:32:30.9348616Z             
2022-11-23T01:32:30.9348692Z  - 
2022-11-23T01:32:30.9348813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9348885Z             {
2022-11-23T01:32:30.9349027Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9349248Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9349374Z                 'obj_weakref': None
2022-11-23T01:32:30.9349601Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9349672Z             }
2022-11-23T01:32:30.9349734Z             
2022-11-23T01:32:30.9349809Z  - 
2022-11-23T01:32:30.9349946Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9350015Z             {
2022-11-23T01:32:30.9350144Z                 'guard_types': None,
2022-11-23T01:32:30.9350317Z                 'code': None,
2022-11-23T01:32:30.9350452Z                 'obj_weakref': None
2022-11-23T01:32:30.9350599Z                 'guarded_class': None
2022-11-23T01:32:30.9350685Z             }
2022-11-23T01:32:30.9350767Z             
2022-11-23T01:32:30.9351055Z [2022-11-23 01:29:10,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379
2022-11-23T01:32:30.9351310Z [2022-11-23 01:29:10,822] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9351679Z [2022-11-23 01:29:10,929] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y7/cy7yq5ttjofj2vblsodlge7ujnzz3qokkuvnkg46tf63ycq7oozs.py
2022-11-23T01:32:30.9351954Z [2022-11-23 01:29:10,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379
2022-11-23T01:32:30.9351960Z 
2022-11-23T01:32:30.9352060Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9352127Z import torch
2022-11-23T01:32:30.9352204Z import random
2022-11-23T01:32:30.9352327Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9352458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9352464Z 
2022-11-23T01:32:30.9352548Z aten = torch.ops.aten
2022-11-23T01:32:30.9352691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9352788Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9352797Z 
2022-11-23T01:32:30.9352865Z import triton
2022-11-23T01:32:30.9352959Z import triton.language as tl
2022-11-23T01:32:30.9353087Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9353233Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9353241Z 
2022-11-23T01:32:30.9353245Z 
2022-11-23T01:32:30.9353431Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9353506Z import triton
2022-11-23T01:32:30.9353599Z import triton.language as tl
2022-11-23T01:32:30.9353716Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9353813Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9353951Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9354082Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9354087Z 
2022-11-23T01:32:30.9354466Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9354542Z @triton.jit
2022-11-23T01:32:30.9354719Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9354798Z     xnumel = 1568
2022-11-23T01:32:30.9354921Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9355048Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9355134Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9355219Z     x1 = (xindex // 14) % 14
2022-11-23T01:32:30.9355297Z     x0 = xindex % 14
2022-11-23T01:32:30.9355380Z     x2 = (xindex // 196)
2022-11-23T01:32:30.9355452Z     x5 = xindex
2022-11-23T01:32:30.9355521Z     tmp0 = (x1 // 2)
2022-11-23T01:32:30.9355596Z     tmp1 = (x0 // 2)
2022-11-23T01:32:30.9355674Z     tmp2 = 1 + (x1 // 2)
2022-11-23T01:32:30.9355751Z     tmp3 = 1 + (x0 // 2)
2022-11-23T01:32:30.9355823Z     tmp4 = 0
2022-11-23T01:32:30.9355919Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9356012Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9356076Z     tmp7 = 7
2022-11-23T01:32:30.9356168Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9356263Z     tmp9 = tl.minimum(tmp3, tmp7)
2022-11-23T01:32:30.9356344Z     tmp10 = tmp5 + tmp4
2022-11-23T01:32:30.9356429Z     tmp11 = tmp6 + tmp4
2022-11-23T01:32:30.9356501Z     tmp12 = 1
2022-11-23T01:32:30.9356615Z     tmp13 = tmp8 - tmp12
2022-11-23T01:32:30.9356705Z     tmp14 = tl.minimum(tmp10, tmp13)
2022-11-23T01:32:30.9356818Z     tmp15 = tmp9 - tmp12
2022-11-23T01:32:30.9356915Z     tmp16 = tl.minimum(tmp11, tmp15)
2022-11-23T01:32:30.9357070Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (7*tmp14) + (49*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:30.9357148Z     tmp18 = tmp17 / 4
2022-11-23T01:32:30.9357229Z     tmp19 = tmp10 < tmp8
2022-11-23T01:32:30.9357309Z     tmp20 = tmp11 < tmp9
2022-11-23T01:32:30.9357384Z     tmp21 = tmp19 & tmp20
2022-11-23T01:32:30.9357460Z     tmp22 = 0.0
2022-11-23T01:32:30.9357563Z     tmp23 = tl.where(tmp21, tmp18, tmp22)
2022-11-23T01:32:30.9357707Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:30.9357793Z ''')
2022-11-23T01:32:30.9357802Z 
2022-11-23T01:32:30.9357807Z 
2022-11-23T01:32:30.9357903Z async_compile.wait(globals())
2022-11-23T01:32:30.9357981Z del async_compile
2022-11-23T01:32:30.9357986Z 
2022-11-23T01:32:30.9358055Z def call(args):
2022-11-23T01:32:30.9358135Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9358212Z     args.clear()
2022-11-23T01:32:30.9358439Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9358532Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9358695Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 1568, grid=grid(1568), stream=stream0)
2022-11-23T01:32:30.9358768Z     del arg0_1
2022-11-23T01:32:30.9358838Z     return (buf0, )
2022-11-23T01:32:30.9358850Z 
2022-11-23T01:32:30.9358855Z 
2022-11-23T01:32:30.9358929Z if __name__ == "__main__":
2022-11-23T01:32:30.9359049Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9359179Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9359405Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9359629Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9359753Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9359758Z 
2022-11-23T01:32:30.9359763Z 
2022-11-23T01:32:30.9359864Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9359939Z import torch
2022-11-23T01:32:30.9360007Z import random
2022-11-23T01:32:30.9360130Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9360255Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9360260Z 
2022-11-23T01:32:30.9360343Z aten = torch.ops.aten
2022-11-23T01:32:30.9360489Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9360586Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9360591Z 
2022-11-23T01:32:30.9360668Z import triton
2022-11-23T01:32:30.9360784Z import triton.language as tl
2022-11-23T01:32:30.9360915Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9361080Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9361085Z 
2022-11-23T01:32:30.9361090Z 
2022-11-23T01:32:30.9361280Z triton_fused_avg_pool2d_backward0 = async_compile.triton('''
2022-11-23T01:32:30.9361357Z import triton
2022-11-23T01:32:30.9361450Z import triton.language as tl
2022-11-23T01:32:30.9361567Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9361678Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9361807Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9361934Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9361939Z 
2022-11-23T01:32:30.9362317Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9362390Z @triton.jit
2022-11-23T01:32:30.9362529Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9362606Z     xnumel = 1568
2022-11-23T01:32:30.9362705Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9362841Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9362919Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9363003Z     x1 = (xindex // 14) % 14
2022-11-23T01:32:30.9363080Z     x0 = xindex % 14
2022-11-23T01:32:30.9363161Z     x2 = (xindex // 196)
2022-11-23T01:32:30.9363233Z     x5 = xindex
2022-11-23T01:32:30.9363309Z     tmp0 = (x1 // 2)
2022-11-23T01:32:30.9363384Z     tmp1 = (x0 // 2)
2022-11-23T01:32:30.9363456Z     tmp2 = 1 + (x1 // 2)
2022-11-23T01:32:30.9363535Z     tmp3 = 1 + (x0 // 2)
2022-11-23T01:32:30.9363607Z     tmp4 = 0
2022-11-23T01:32:30.9363702Z     tmp5 = tl.maximum(tmp0, tmp4)
2022-11-23T01:32:30.9363796Z     tmp6 = tl.maximum(tmp1, tmp4)
2022-11-23T01:32:30.9363868Z     tmp7 = 7
2022-11-23T01:32:30.9363952Z     tmp8 = tl.minimum(tmp2, tmp7)
2022-11-23T01:32:30.9364047Z     tmp9 = tl.minimum(tmp3, tmp7)
2022-11-23T01:32:30.9364131Z     tmp10 = tmp5 + tmp4
2022-11-23T01:32:30.9364212Z     tmp11 = tmp6 + tmp4
2022-11-23T01:32:30.9364284Z     tmp12 = 1
2022-11-23T01:32:30.9364397Z     tmp13 = tmp8 - tmp12
2022-11-23T01:32:30.9364495Z     tmp14 = tl.minimum(tmp10, tmp13)
2022-11-23T01:32:30.9364600Z     tmp15 = tmp9 - tmp12
2022-11-23T01:32:30.9364694Z     tmp16 = tl.minimum(tmp11, tmp15)
2022-11-23T01:32:30.9364865Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (7*tmp14) + (49*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:30.9364945Z     tmp18 = tmp17 / 4
2022-11-23T01:32:30.9365025Z     tmp19 = tmp10 < tmp8
2022-11-23T01:32:30.9365105Z     tmp20 = tmp11 < tmp9
2022-11-23T01:32:30.9365186Z     tmp21 = tmp19 & tmp20
2022-11-23T01:32:30.9365252Z     tmp22 = 0.0
2022-11-23T01:32:30.9365352Z     tmp23 = tl.where(tmp21, tmp18, tmp22)
2022-11-23T01:32:30.9365495Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:30.9365582Z ''')
2022-11-23T01:32:30.9365588Z 
2022-11-23T01:32:30.9365592Z 
2022-11-23T01:32:30.9365689Z async_compile.wait(globals())
2022-11-23T01:32:30.9365766Z del async_compile
2022-11-23T01:32:30.9365771Z 
2022-11-23T01:32:30.9365847Z def call(args):
2022-11-23T01:32:30.9365920Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9365996Z     args.clear()
2022-11-23T01:32:30.9366215Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9366311Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9366473Z     triton_fused_avg_pool2d_backward0.run(arg0_1, buf0, 1568, grid=grid(1568), stream=stream0)
2022-11-23T01:32:30.9366546Z     del arg0_1
2022-11-23T01:32:30.9366622Z     return (buf0, )
2022-11-23T01:32:30.9366627Z 
2022-11-23T01:32:30.9366632Z 
2022-11-23T01:32:30.9366713Z if __name__ == "__main__":
2022-11-23T01:32:30.9366857Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9367006Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9367225Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9367444Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9367568Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9367573Z 
2022-11-23T01:32:30.9367647Z ok (0.305s)
2022-11-23T01:32:30.9367960Z   test_baddbmm_cuda (__main__.CudaTests) ... [2022-11-23 01:29:10,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9368281Z [2022-11-23 01:29:10,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9368507Z [2022-11-23 01:29:10,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9368764Z [2022-11-23 01:29:10,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9369052Z [2022-11-23 01:29:10,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9369375Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9369723Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9370048Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9370430Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409> 
2022-11-23T01:32:30.9370534Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9370643Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T01:32:30.9370741Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9370831Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9370929Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:30.9371025Z               10 CALL_METHOD              3
2022-11-23T01:32:30.9371108Z               12 RETURN_VALUE
2022-11-23T01:32:30.9371173Z  
2022-11-23T01:32:30.9371179Z 
2022-11-23T01:32:30.9371487Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410
2022-11-23T01:32:30.9371710Z [2022-11-23 01:29:10,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9372025Z [2022-11-23 01:29:10,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9372279Z [2022-11-23 01:29:10,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T01:32:30.9372563Z [2022-11-23 01:29:10,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T01:32:30.9372873Z [2022-11-23 01:29:10,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9373212Z [2022-11-23 01:29:10,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9373467Z [2022-11-23 01:29:10,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9373874Z [2022-11-23 01:29:10,942] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409>
2022-11-23T01:32:30.9374144Z [2022-11-23 01:29:10,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9374385Z [2022-11-23 01:29:10,942] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9374644Z [2022-11-23 01:29:10,943] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9374900Z [2022-11-23 01:29:10,945] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9375097Z [2022-11-23 01:29:10,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9375233Z  __compiled_fn_390 <eval_with_key>.2406 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9375328Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9375422Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9375516Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.9375652Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T01:32:30.9375763Z output, output, output, ((baddbmm,),), {}
2022-11-23T01:32:30.9375769Z 
2022-11-23T01:32:30.9376107Z [2022-11-23 01:29:10,946] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9376202Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9376299Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9376393Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9376493Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9376586Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9376680Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9376762Z              12 RETURN_VALUE
2022-11-23T01:32:30.9376768Z 
2022-11-23T01:32:30.9376833Z  
2022-11-23T01:32:30.9377150Z [2022-11-23 01:29:10,946] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9377272Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_390)
2022-11-23T01:32:30.9377370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9377469Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9377555Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9377649Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9377744Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9377819Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9377912Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9378007Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9378089Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.9378182Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.9378278Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9378362Z              24 RETURN_VALUE
2022-11-23T01:32:30.9378369Z 
2022-11-23T01:32:30.9378428Z  
2022-11-23T01:32:30.9378616Z [2022-11-23 01:29:10,947] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9378693Z  - 
2022-11-23T01:32:30.9379021Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9379096Z             {
2022-11-23T01:32:30.9379247Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9379442Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.9379560Z                 'obj_weakref': None
2022-11-23T01:32:30.9379790Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9379862Z             }
2022-11-23T01:32:30.9379932Z             
2022-11-23T01:32:30.9380007Z  - 
2022-11-23T01:32:30.9380135Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9380203Z             {
2022-11-23T01:32:30.9380346Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9380520Z                 'code': None,
2022-11-23T01:32:30.9380766Z                 'obj_weakref': <weakref at 0x7f1fead4ed90; to 'Tensor' at 0x7f1fe812ee30>
2022-11-23T01:32:30.9381023Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9381093Z             }
2022-11-23T01:32:30.9381163Z             
2022-11-23T01:32:30.9381239Z  - 
2022-11-23T01:32:30.9381360Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9381431Z             {
2022-11-23T01:32:30.9381579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9381692Z                 'code': None,
2022-11-23T01:32:30.9381909Z                 'obj_weakref': <weakref at 0x7f1fead4d990; to 'Tensor' at 0x7f20726fcb30>
2022-11-23T01:32:30.9382158Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9382227Z             }
2022-11-23T01:32:30.9382299Z             
2022-11-23T01:32:30.9382368Z  - 
2022-11-23T01:32:30.9382497Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.9382567Z             {
2022-11-23T01:32:30.9382717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9382829Z                 'code': None,
2022-11-23T01:32:30.9383039Z                 'obj_weakref': <weakref at 0x7f1fead4dcb0; to 'Tensor' at 0x7f20726fdb20>
2022-11-23T01:32:30.9383290Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9383353Z             }
2022-11-23T01:32:30.9383421Z             
2022-11-23T01:32:30.9383496Z  - 
2022-11-23T01:32:30.9383633Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9383702Z             {
2022-11-23T01:32:30.9383844Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9384014Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9384139Z                 'obj_weakref': None
2022-11-23T01:32:30.9384373Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9384445Z             }
2022-11-23T01:32:30.9384513Z             
2022-11-23T01:32:30.9384588Z  - 
2022-11-23T01:32:30.9384715Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9384777Z             {
2022-11-23T01:32:30.9384918Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9385139Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9385262Z                 'obj_weakref': None
2022-11-23T01:32:30.9385488Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9385557Z             }
2022-11-23T01:32:30.9385626Z             
2022-11-23T01:32:30.9385693Z  - 
2022-11-23T01:32:30.9385830Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9385900Z             {
2022-11-23T01:32:30.9386030Z                 'guard_types': None,
2022-11-23T01:32:30.9386147Z                 'code': None,
2022-11-23T01:32:30.9386272Z                 'obj_weakref': None
2022-11-23T01:32:30.9386401Z                 'guarded_class': None
2022-11-23T01:32:30.9386462Z             }
2022-11-23T01:32:30.9386529Z             
2022-11-23T01:32:30.9386795Z [2022-11-23 01:29:10,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380
2022-11-23T01:32:30.9387051Z [2022-11-23 01:29:10,961] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9387416Z [2022-11-23 01:29:11,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3vjyl2qhrypeu7nyxyez5whgzb4uqf76qvr3vn6tianzfxowkm.py
2022-11-23T01:32:30.9387682Z [2022-11-23 01:29:11,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380
2022-11-23T01:32:30.9387956Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9388271Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9388514Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9388758Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9389040Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9389360Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9389707Z [2022-11-23 01:29:11,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9390034Z [2022-11-23 01:29:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9390505Z [2022-11-23 01:29:11,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409> 
2022-11-23T01:32:30.9390614Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9390722Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T01:32:30.9390821Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9390910Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9391008Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:30.9391104Z               10 CALL_METHOD              3
2022-11-23T01:32:30.9391187Z               12 RETURN_VALUE
2022-11-23T01:32:30.9391257Z  
2022-11-23T01:32:30.9391262Z 
2022-11-23T01:32:30.9391587Z [2022-11-23 01:29:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410
2022-11-23T01:32:30.9391848Z [2022-11-23 01:29:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9392178Z [2022-11-23 01:29:11,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9392439Z [2022-11-23 01:29:11,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T01:32:30.9392717Z [2022-11-23 01:29:11,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T01:32:30.9393027Z [2022-11-23 01:29:11,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9393373Z [2022-11-23 01:29:11,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9393626Z [2022-11-23 01:29:11,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9394007Z [2022-11-23 01:29:11,046] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409>
2022-11-23T01:32:30.9394259Z [2022-11-23 01:29:11,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9394499Z [2022-11-23 01:29:11,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9394757Z [2022-11-23 01:29:11,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9395011Z [2022-11-23 01:29:11,049] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9395234Z [2022-11-23 01:29:11,050] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9395390Z  __compiled_fn_391 <eval_with_key>.2412 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9395487Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9395581Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9395674Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:30.9395808Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T01:32:30.9395918Z output, output, output, ((baddbmm,),), {}
2022-11-23T01:32:30.9395924Z 
2022-11-23T01:32:30.9396257Z [2022-11-23 01:29:11,050] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9396358Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9396448Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9396541Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9396644Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9396738Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9396833Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9396915Z              12 RETURN_VALUE
2022-11-23T01:32:30.9396920Z 
2022-11-23T01:32:30.9396985Z  
2022-11-23T01:32:30.9397302Z [2022-11-23 01:29:11,050] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9397421Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_391)
2022-11-23T01:32:30.9397521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9397618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9397701Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9397797Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9397891Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9397965Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9398064Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9398159Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9398243Z              18 BINARY_SUBSCR
2022-11-23T01:32:30.9398336Z              20 CALL_FUNCTION            3
2022-11-23T01:32:30.9398432Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9398514Z              24 RETURN_VALUE
2022-11-23T01:32:30.9398519Z 
2022-11-23T01:32:30.9398584Z  
2022-11-23T01:32:30.9398767Z [2022-11-23 01:29:11,051] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9398843Z  - 
2022-11-23T01:32:30.9398971Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9399041Z             {
2022-11-23T01:32:30.9399187Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9399380Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:30.9399504Z                 'obj_weakref': None
2022-11-23T01:32:30.9399724Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9399798Z             }
2022-11-23T01:32:30.9399868Z             
2022-11-23T01:32:30.9399944Z  - 
2022-11-23T01:32:30.9400074Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9400143Z             {
2022-11-23T01:32:30.9400292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9400398Z                 'code': None,
2022-11-23T01:32:30.9400613Z                 'obj_weakref': <weakref at 0x7f20233784f0; to 'Tensor' at 0x7f2022f5ce00>
2022-11-23T01:32:30.9400867Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9400937Z             }
2022-11-23T01:32:30.9401006Z             
2022-11-23T01:32:30.9401082Z  - 
2022-11-23T01:32:30.9401209Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9401271Z             {
2022-11-23T01:32:30.9401425Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9401597Z                 'code': None,
2022-11-23T01:32:30.9401813Z                 'obj_weakref': <weakref at 0x7f2023379ad0; to 'Tensor' at 0x7f1fe8168a90>
2022-11-23T01:32:30.9402091Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9402163Z             }
2022-11-23T01:32:30.9402233Z             
2022-11-23T01:32:30.9402301Z  - 
2022-11-23T01:32:30.9402435Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:30.9402507Z             {
2022-11-23T01:32:30.9402655Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9402767Z                 'code': None,
2022-11-23T01:32:30.9402978Z                 'obj_weakref': <weakref at 0x7f2023378b30; to 'Tensor' at 0x7f2060796840>
2022-11-23T01:32:30.9403224Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9403287Z             }
2022-11-23T01:32:30.9403358Z             
2022-11-23T01:32:30.9403434Z  - 
2022-11-23T01:32:30.9403573Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9403645Z             {
2022-11-23T01:32:30.9403786Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9403964Z                 'code': ['___check_obj_id(model, 139781086915328)'],
2022-11-23T01:32:30.9404083Z                 'obj_weakref': None
2022-11-23T01:32:30.9404315Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9404385Z             }
2022-11-23T01:32:30.9404452Z             
2022-11-23T01:32:30.9404527Z  - 
2022-11-23T01:32:30.9404655Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9404724Z             {
2022-11-23T01:32:30.9404859Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9405083Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9405209Z                 'obj_weakref': None
2022-11-23T01:32:30.9405442Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9405515Z             }
2022-11-23T01:32:30.9405584Z             
2022-11-23T01:32:30.9405661Z  - 
2022-11-23T01:32:30.9405791Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9405865Z             {
2022-11-23T01:32:30.9405991Z                 'guard_types': None,
2022-11-23T01:32:30.9406103Z                 'code': None,
2022-11-23T01:32:30.9406228Z                 'obj_weakref': None
2022-11-23T01:32:30.9406357Z                 'guarded_class': None
2022-11-23T01:32:30.9406419Z             }
2022-11-23T01:32:30.9406489Z             
2022-11-23T01:32:30.9406754Z [2022-11-23 01:29:11,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381
2022-11-23T01:32:30.9407009Z [2022-11-23 01:29:11,061] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9407381Z [2022-11-23 01:29:11,133] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gt7fonlqh3nukk7xyefpx7fumrzpzjs6ehrffchojn2admgtii.py
2022-11-23T01:32:30.9407656Z [2022-11-23 01:29:11,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381
2022-11-23T01:32:30.9407662Z 
2022-11-23T01:32:30.9407764Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9407839Z import torch
2022-11-23T01:32:30.9407917Z import random
2022-11-23T01:32:30.9408033Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9408161Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9408166Z 
2022-11-23T01:32:30.9408249Z aten = torch.ops.aten
2022-11-23T01:32:30.9408393Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9408492Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9408497Z 
2022-11-23T01:32:30.9408572Z import triton
2022-11-23T01:32:30.9408666Z import triton.language as tl
2022-11-23T01:32:30.9408787Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9408959Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9408983Z 
2022-11-23T01:32:30.9408988Z 
2022-11-23T01:32:30.9409150Z triton_fused_add_bmm0 = async_compile.triton('''
2022-11-23T01:32:30.9409227Z import triton
2022-11-23T01:32:30.9409320Z import triton.language as tl
2022-11-23T01:32:30.9409435Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9409540Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9409677Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9409798Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9409804Z 
2022-11-23T01:32:30.9410188Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9410267Z @triton.jit
2022-11-23T01:32:30.9410410Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9410487Z     xnumel = 76800
2022-11-23T01:32:30.9410589Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9410723Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9410809Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9410880Z     x0 = xindex % 100
2022-11-23T01:32:30.9410965Z     x2 = (xindex // 12800)
2022-11-23T01:32:30.9411037Z     x3 = xindex
2022-11-23T01:32:30.9411149Z     tmp0 = tl.load(in_ptr0 + (x0 + (100*x2)), xmask)
2022-11-23T01:32:30.9411254Z     tmp1 = tl.load(in_out_ptr0 + (x3), xmask)
2022-11-23T01:32:30.9411333Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9411475Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9411555Z ''')
2022-11-23T01:32:30.9411560Z 
2022-11-23T01:32:30.9411565Z 
2022-11-23T01:32:30.9411661Z async_compile.wait(globals())
2022-11-23T01:32:30.9411739Z del async_compile
2022-11-23T01:32:30.9411744Z 
2022-11-23T01:32:30.9411823Z def call(args):
2022-11-23T01:32:30.9411911Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.9411991Z     args.clear()
2022-11-23T01:32:30.9412218Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9412312Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:30.9412389Z     del arg1_1
2022-11-23T01:32:30.9412462Z     del arg2_1
2022-11-23T01:32:30.9412557Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.9412648Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9412795Z     triton_fused_add_bmm0.run(buf1, arg0_1, 76800, grid=grid(76800), stream=stream0)
2022-11-23T01:32:30.9412868Z     del arg0_1
2022-11-23T01:32:30.9412938Z     return (buf1, )
2022-11-23T01:32:30.9412943Z 
2022-11-23T01:32:30.9412955Z 
2022-11-23T01:32:30.9413030Z if __name__ == "__main__":
2022-11-23T01:32:30.9413148Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9413277Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9413500Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9413717Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9413933Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9414062Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.9414067Z 
2022-11-23T01:32:30.9414072Z 
2022-11-23T01:32:30.9414174Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9414241Z import torch
2022-11-23T01:32:30.9414319Z import random
2022-11-23T01:32:30.9414441Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9414568Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9414574Z 
2022-11-23T01:32:30.9414657Z aten = torch.ops.aten
2022-11-23T01:32:30.9414799Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9414926Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9414932Z 
2022-11-23T01:32:30.9415022Z import triton
2022-11-23T01:32:30.9415116Z import triton.language as tl
2022-11-23T01:32:30.9415243Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9415388Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9415393Z 
2022-11-23T01:32:30.9415397Z 
2022-11-23T01:32:30.9415562Z triton_fused_bmm_add0 = async_compile.triton('''
2022-11-23T01:32:30.9415639Z import triton
2022-11-23T01:32:30.9415734Z import triton.language as tl
2022-11-23T01:32:30.9415849Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9415945Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9416082Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9416210Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9416215Z 
2022-11-23T01:32:30.9416592Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9416669Z @triton.jit
2022-11-23T01:32:30.9416805Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9416881Z     xnumel = 76800
2022-11-23T01:32:30.9416980Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9417104Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9417189Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9417267Z     x0 = xindex % 100
2022-11-23T01:32:30.9417350Z     x2 = (xindex // 12800)
2022-11-23T01:32:30.9417423Z     x3 = xindex
2022-11-23T01:32:30.9417550Z     tmp0 = tl.load(in_ptr0 + (x0 + (100*x2)), xmask).to(tl.float32)
2022-11-23T01:32:30.9417673Z     tmp1 = tl.load(in_out_ptr0 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:30.9417746Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9417896Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9417984Z ''')
2022-11-23T01:32:30.9417992Z 
2022-11-23T01:32:30.9417997Z 
2022-11-23T01:32:30.9418092Z async_compile.wait(globals())
2022-11-23T01:32:30.9418169Z del async_compile
2022-11-23T01:32:30.9418174Z 
2022-11-23T01:32:30.9418250Z def call(args):
2022-11-23T01:32:30.9418338Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:30.9418407Z     args.clear()
2022-11-23T01:32:30.9418627Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9418730Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:30.9418995Z     del arg1_1
2022-11-23T01:32:30.9419069Z     del arg2_1
2022-11-23T01:32:30.9419165Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:30.9419258Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9419398Z     triton_fused_bmm_add0.run(buf1, arg0_1, 76800, grid=grid(76800), stream=stream0)
2022-11-23T01:32:30.9419473Z     del arg0_1
2022-11-23T01:32:30.9419552Z     return (buf1, )
2022-11-23T01:32:30.9419560Z 
2022-11-23T01:32:30.9419565Z 
2022-11-23T01:32:30.9419650Z if __name__ == "__main__":
2022-11-23T01:32:30.9419772Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9419901Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9420116Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9420332Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9420542Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9420671Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:30.9420676Z 
2022-11-23T01:32:30.9420749Z ok (0.204s)
2022-11-23T01:32:30.9421072Z   test_batch_norm_2d_cuda (__main__.CudaTests) ... [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9421435Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9421684Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9421939Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.9422226Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.9422577Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9422914Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9423222Z [2022-11-23 01:29:11,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9423476Z [2022-11-23 01:29:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9423719Z [2022-11-23 01:29:11,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9423981Z [2022-11-23 01:29:11,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9424236Z [2022-11-23 01:29:11,163] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9424432Z [2022-11-23 01:29:11,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9424573Z  __compiled_fn_392 <eval_with_key>.2418 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9424668Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9424775Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.9424880Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:30.9424984Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:30.9424993Z 
2022-11-23T01:32:30.9425324Z [2022-11-23 01:29:11,164] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9425425Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9425522Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9425616Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9425715Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9425807Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9425896Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9425980Z              12 RETURN_VALUE
2022-11-23T01:32:30.9425986Z 
2022-11-23T01:32:30.9426052Z  
2022-11-23T01:32:30.9426377Z [2022-11-23 01:29:11,164] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9426497Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_392)
2022-11-23T01:32:30.9426594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9426691Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9426767Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9426860Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9426957Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9427039Z              12 RETURN_VALUE
2022-11-23T01:32:30.9427044Z 
2022-11-23T01:32:30.9427110Z  
2022-11-23T01:32:30.9427299Z [2022-11-23 01:29:11,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9427376Z  - 
2022-11-23T01:32:30.9427493Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9427562Z             {
2022-11-23T01:32:30.9427709Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9427904Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9428059Z                 'obj_weakref': None
2022-11-23T01:32:30.9428307Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9428378Z             }
2022-11-23T01:32:30.9428440Z             
2022-11-23T01:32:30.9428516Z  - 
2022-11-23T01:32:30.9428647Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9428719Z             {
2022-11-23T01:32:30.9428869Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9428983Z                 'code': None,
2022-11-23T01:32:30.9429202Z                 'obj_weakref': <weakref at 0x7f1fd9b98ea0; to 'Tensor' at 0x7f2127a1d9e0>
2022-11-23T01:32:30.9429455Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9429517Z             }
2022-11-23T01:32:30.9429588Z             
2022-11-23T01:32:30.9429666Z  - 
2022-11-23T01:32:30.9429791Z             local 'model' NN_MODULE
2022-11-23T01:32:30.9429863Z             {
2022-11-23T01:32:30.9430005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9430175Z                 'code': ['___check_obj_id(model, 139777162188192)'],
2022-11-23T01:32:30.9430479Z                 'obj_weakref': <weakref at 0x7f2023378fe0; to 'Sequential' at 0x7f20681995a0>
2022-11-23T01:32:30.9430718Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.9430788Z             }
2022-11-23T01:32:30.9430858Z             
2022-11-23T01:32:30.9430934Z  - 
2022-11-23T01:32:30.9431063Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9431125Z             {
2022-11-23T01:32:30.9431269Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9431492Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9431618Z                 'obj_weakref': None
2022-11-23T01:32:30.9431848Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9431923Z             }
2022-11-23T01:32:30.9431993Z             
2022-11-23T01:32:30.9432070Z  - 
2022-11-23T01:32:30.9432214Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.9432284Z             {
2022-11-23T01:32:30.9432412Z                 'guard_types': None,
2022-11-23T01:32:30.9432527Z                 'code': None,
2022-11-23T01:32:30.9432655Z                 'obj_weakref': None
2022-11-23T01:32:30.9432782Z                 'guarded_class': None
2022-11-23T01:32:30.9432844Z             }
2022-11-23T01:32:30.9432913Z             
2022-11-23T01:32:30.9432992Z  - 
2022-11-23T01:32:30.9433143Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.9433211Z             {
2022-11-23T01:32:30.9433337Z                 'guard_types': None,
2022-11-23T01:32:30.9433449Z                 'code': None,
2022-11-23T01:32:30.9433566Z                 'obj_weakref': None
2022-11-23T01:32:30.9433695Z                 'guarded_class': None
2022-11-23T01:32:30.9433770Z             }
2022-11-23T01:32:30.9433841Z             
2022-11-23T01:32:30.9434106Z [2022-11-23 01:29:11,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382
2022-11-23T01:32:30.9434405Z [2022-11-23 01:29:11,268] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9434773Z [2022-11-23 01:29:11,477] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5uo3qzb5xum5pe6fbzxt5xdwltx4thr4hbrzek2shtkjydl2bmh.py
2022-11-23T01:32:30.9435045Z [2022-11-23 01:29:11,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382
2022-11-23T01:32:30.9435282Z [2022-11-23 01:29:11,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9435632Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9435858Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9436131Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:30.9436405Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:30.9436724Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9437063Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9437381Z [2022-11-23 01:29:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9437635Z [2022-11-23 01:29:11,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9437878Z [2022-11-23 01:29:11,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9438129Z [2022-11-23 01:29:11,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9438382Z [2022-11-23 01:29:11,504] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9438576Z [2022-11-23 01:29:11,504] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9438717Z  __compiled_fn_393 <eval_with_key>.2429 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9438812Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9438920Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:30.9439030Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:30.9439134Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:30.9439140Z 
2022-11-23T01:32:30.9439463Z [2022-11-23 01:29:11,505] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9439568Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9439665Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9439759Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9439859Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9439952Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9440047Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9440128Z              12 RETURN_VALUE
2022-11-23T01:32:30.9440133Z 
2022-11-23T01:32:30.9440192Z  
2022-11-23T01:32:30.9440512Z [2022-11-23 01:29:11,505] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9440631Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_393)
2022-11-23T01:32:30.9440728Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9440827Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9440910Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9441003Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9441092Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9441174Z              12 RETURN_VALUE
2022-11-23T01:32:30.9441179Z 
2022-11-23T01:32:30.9441244Z  
2022-11-23T01:32:30.9441433Z [2022-11-23 01:29:11,505] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9441510Z  - 
2022-11-23T01:32:30.9441635Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9441705Z             {
2022-11-23T01:32:30.9441845Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9442037Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9442165Z                 'obj_weakref': None
2022-11-23T01:32:30.9442417Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9442506Z             }
2022-11-23T01:32:30.9442574Z             
2022-11-23T01:32:30.9442652Z  - 
2022-11-23T01:32:30.9442775Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9442844Z             {
2022-11-23T01:32:30.9442993Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9443105Z                 'code': None,
2022-11-23T01:32:30.9443318Z                 'obj_weakref': <weakref at 0x7f20230704a0; to 'Tensor' at 0x7f2127a1d9e0>
2022-11-23T01:32:30.9443570Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9443639Z             }
2022-11-23T01:32:30.9443700Z             
2022-11-23T01:32:30.9443778Z  - 
2022-11-23T01:32:30.9443902Z             local 'model' NN_MODULE
2022-11-23T01:32:30.9443971Z             {
2022-11-23T01:32:30.9444110Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9444288Z                 'code': ['___check_obj_id(model, 139777162188192)'],
2022-11-23T01:32:30.9444513Z                 'obj_weakref': <weakref at 0x7f2023378fe0; to 'Sequential' at 0x7f20681995a0>
2022-11-23T01:32:30.9444751Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:30.9444813Z             }
2022-11-23T01:32:30.9444880Z             
2022-11-23T01:32:30.9444958Z  - 
2022-11-23T01:32:30.9445086Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9445153Z             {
2022-11-23T01:32:30.9445295Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9445511Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9445635Z                 'obj_weakref': None
2022-11-23T01:32:30.9445860Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9445931Z             }
2022-11-23T01:32:30.9446004Z             
2022-11-23T01:32:30.9446079Z  - 
2022-11-23T01:32:30.9446237Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:30.9446299Z             {
2022-11-23T01:32:30.9446425Z                 'guard_types': None,
2022-11-23T01:32:30.9446538Z                 'code': None,
2022-11-23T01:32:30.9446664Z                 'obj_weakref': None
2022-11-23T01:32:30.9446791Z                 'guarded_class': None
2022-11-23T01:32:30.9446860Z             }
2022-11-23T01:32:30.9446928Z             
2022-11-23T01:32:30.9446996Z  - 
2022-11-23T01:32:30.9447146Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:30.9447214Z             {
2022-11-23T01:32:30.9447339Z                 'guard_types': None,
2022-11-23T01:32:30.9447452Z                 'code': None,
2022-11-23T01:32:30.9447575Z                 'obj_weakref': None
2022-11-23T01:32:30.9447703Z                 'guarded_class': None
2022-11-23T01:32:30.9447764Z             }
2022-11-23T01:32:30.9447834Z             
2022-11-23T01:32:30.9448101Z [2022-11-23 01:29:11,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383
2022-11-23T01:32:30.9448404Z [2022-11-23 01:29:11,605] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9448771Z [2022-11-23 01:29:11,708] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4n/c4nza5vnspl7skl7d4yfelllxc3a6wjopikivu47eqdwbrtbe7fs.py
2022-11-23T01:32:30.9449045Z [2022-11-23 01:29:11,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383
2022-11-23T01:32:30.9449051Z 
2022-11-23T01:32:30.9449151Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9449227Z import torch
2022-11-23T01:32:30.9449294Z import random
2022-11-23T01:32:30.9449418Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9449547Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9449552Z 
2022-11-23T01:32:30.9449672Z aten = torch.ops.aten
2022-11-23T01:32:30.9449817Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9449957Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9449962Z 
2022-11-23T01:32:30.9450041Z import triton
2022-11-23T01:32:30.9450136Z import triton.language as tl
2022-11-23T01:32:30.9450258Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9450407Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9450413Z 
2022-11-23T01:32:30.9450418Z 
2022-11-23T01:32:30.9450695Z triton_fused_mul_le_unsqueeze_7_sub_unsqueeze_2_sqrt_unsqueeze_6_relu_unsqueeze_1_add_10 = async_compile.triton('''
2022-11-23T01:32:30.9450771Z import triton
2022-11-23T01:32:30.9450865Z import triton.language as tl
2022-11-23T01:32:30.9450986Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9451091Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9451221Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9451352Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9451359Z 
2022-11-23T01:32:30.9451817Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*i1', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:30.9451893Z @triton.jit
2022-11-23T01:32:30.9452073Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9452150Z     xnumel = 1280
2022-11-23T01:32:30.9452250Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9452383Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9452468Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9452534Z     x3 = xindex
2022-11-23T01:32:30.9452618Z     x1 = (xindex // 64) % 10
2022-11-23T01:32:30.9452719Z     tmp0 = tl.load(in_ptr0 + (x3), xmask)
2022-11-23T01:32:30.9452819Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:30.9452919Z     tmp3 = tl.load(in_ptr2 + (x1), xmask)
2022-11-23T01:32:30.9453019Z     tmp11 = tl.load(in_ptr3 + (x1), xmask)
2022-11-23T01:32:30.9453116Z     tmp13 = tl.load(in_ptr4 + (x1), xmask)
2022-11-23T01:32:30.9453222Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:30.9453323Z     tmp4 = 1e-05
2022-11-23T01:32:30.9453403Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:30.9453490Z     tmp6 = tl.sqrt(tmp5)
2022-11-23T01:32:30.9453566Z     tmp7 = 1 / tmp6
2022-11-23T01:32:30.9453637Z     tmp8 = 1
2022-11-23T01:32:30.9453709Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:30.9453789Z     tmp10 = tmp2 * tmp9
2022-11-23T01:32:30.9453871Z     tmp12 = tmp10 * tmp11
2022-11-23T01:32:30.9453951Z     tmp14 = tmp12 + tmp13
2022-11-23T01:32:30.9454043Z     tmp15 = tl.maximum(0, tmp14)
2022-11-23T01:32:30.9454115Z     tmp16 = 0
2022-11-23T01:32:30.9454197Z     tmp17 = tmp15 <= tmp16
2022-11-23T01:32:30.9454334Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:30.9454474Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:30.9454560Z ''')
2022-11-23T01:32:30.9454565Z 
2022-11-23T01:32:30.9454570Z 
2022-11-23T01:32:30.9454665Z async_compile.wait(globals())
2022-11-23T01:32:30.9454742Z del async_compile
2022-11-23T01:32:30.9454747Z 
2022-11-23T01:32:30.9454824Z def call(args):
2022-11-23T01:32:30.9454973Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:30.9455049Z     args.clear()
2022-11-23T01:32:30.9455260Z     buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9455468Z     buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9455561Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9455845Z     triton_fused_mul_le_unsqueeze_7_sub_unsqueeze_2_sqrt_unsqueeze_6_relu_unsqueeze_1_add_10.run(primals_6, primals_3, primals_4, primals_1, primals_2, buf0, buf1, 1280, grid=grid(1280), stream=stream0)
2022-11-23T01:32:30.9455947Z     del primals_1
2022-11-23T01:32:30.9456024Z     del primals_2
2022-11-23T01:32:30.9456148Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:30.9456154Z 
2022-11-23T01:32:30.9456158Z 
2022-11-23T01:32:30.9456241Z if __name__ == "__main__":
2022-11-23T01:32:30.9456354Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9456484Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9456695Z     primals_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9456905Z     primals_2 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9457111Z     primals_3 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9457313Z     primals_4 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9457510Z     primals_5 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.9457737Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9457912Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:30.9457927Z 
2022-11-23T01:32:30.9457931Z 
2022-11-23T01:32:30.9458025Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9458100Z import torch
2022-11-23T01:32:30.9458180Z import random
2022-11-23T01:32:30.9458301Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9458432Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9458437Z 
2022-11-23T01:32:30.9458522Z aten = torch.ops.aten
2022-11-23T01:32:30.9458663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9458753Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9458765Z 
2022-11-23T01:32:30.9459014Z import triton
2022-11-23T01:32:30.9459112Z import triton.language as tl
2022-11-23T01:32:30.9459246Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9459392Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9459398Z 
2022-11-23T01:32:30.9459403Z 
2022-11-23T01:32:30.9459704Z triton_fused_unsqueeze_4_add_unsqueeze_1_unsqueeze_3_sub_unsqueeze_6_add_1_relu_unsqueeze_unsqueeze_70 = async_compile.triton('''
2022-11-23T01:32:30.9459782Z import triton
2022-11-23T01:32:30.9459875Z import triton.language as tl
2022-11-23T01:32:30.9459985Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9460089Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9460226Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9460353Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9460358Z 
2022-11-23T01:32:30.9460807Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*i1', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:30.9460883Z @triton.jit
2022-11-23T01:32:30.9461062Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9461140Z     xnumel = 7680
2022-11-23T01:32:30.9461239Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9461364Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9461448Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9461522Z     x3 = xindex
2022-11-23T01:32:30.9461609Z     x1 = (xindex // 256) % 10
2022-11-23T01:32:30.9461709Z     tmp0 = tl.load(in_ptr0 + (x3), xmask)
2022-11-23T01:32:30.9461812Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:30.9461909Z     tmp3 = tl.load(in_ptr2 + (x1), xmask)
2022-11-23T01:32:30.9462002Z     tmp11 = tl.load(in_ptr3 + (x1), xmask)
2022-11-23T01:32:30.9462145Z     tmp13 = tl.load(in_ptr4 + (x1), xmask)
2022-11-23T01:32:30.9462282Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:30.9462386Z     tmp4 = 1e-05
2022-11-23T01:32:30.9462466Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:30.9462549Z     tmp6 = tl.sqrt(tmp5)
2022-11-23T01:32:30.9462618Z     tmp7 = 1 / tmp6
2022-11-23T01:32:30.9462691Z     tmp8 = 1
2022-11-23T01:32:30.9462771Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:30.9462855Z     tmp10 = tmp2 * tmp9
2022-11-23T01:32:30.9462937Z     tmp12 = tmp10 * tmp11
2022-11-23T01:32:30.9463019Z     tmp14 = tmp12 + tmp13
2022-11-23T01:32:30.9463112Z     tmp15 = tl.maximum(0, tmp14)
2022-11-23T01:32:30.9463178Z     tmp16 = 0
2022-11-23T01:32:30.9463260Z     tmp17 = tmp15 <= tmp16
2022-11-23T01:32:30.9463402Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:30.9463540Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:30.9463625Z ''')
2022-11-23T01:32:30.9463631Z 
2022-11-23T01:32:30.9463636Z 
2022-11-23T01:32:30.9463735Z async_compile.wait(globals())
2022-11-23T01:32:30.9463814Z del async_compile
2022-11-23T01:32:30.9463819Z 
2022-11-23T01:32:30.9463896Z def call(args):
2022-11-23T01:32:30.9464034Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:30.9464111Z     args.clear()
2022-11-23T01:32:30.9464340Z     buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9464562Z     buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9464653Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9464926Z     triton_fused_unsqueeze_4_add_unsqueeze_1_unsqueeze_3_sub_unsqueeze_6_add_1_relu_unsqueeze_unsqueeze_70.run(primals_6, primals_3, primals_4, primals_1, primals_2, buf0, buf1, 7680, grid=grid(7680), stream=stream0)
2022-11-23T01:32:30.9465004Z     del primals_1
2022-11-23T01:32:30.9465083Z     del primals_2
2022-11-23T01:32:30.9465205Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:30.9465213Z 
2022-11-23T01:32:30.9465217Z 
2022-11-23T01:32:30.9465299Z if __name__ == "__main__":
2022-11-23T01:32:30.9465423Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9465554Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9465762Z     primals_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9465969Z     primals_2 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9466171Z     primals_3 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9466374Z     primals_4 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9466561Z     primals_5 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.9466794Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9466980Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:30.9466988Z 
2022-11-23T01:32:30.9467060Z ok (0.575s)
2022-11-23T01:32:30.9467376Z   test_bernoulli1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9467700Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9467924Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9468184Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9468466Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9468810Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9469184Z [2022-11-23 01:29:11,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9469508Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9469887Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578> 
2022-11-23T01:32:30.9469991Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9470101Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T01:32:30.9470202Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9470353Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9470466Z                8 STORE_FAST               1 (b)
2022-11-23T01:32:30.9470475Z 
2022-11-23T01:32:30.9470586Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:30.9470698Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T01:32:30.9470796Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9470894Z               16 CALL_METHOD              1
2022-11-23T01:32:30.9470992Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9471088Z               20 BUILD_TUPLE              2
2022-11-23T01:32:30.9471172Z               22 RETURN_VALUE
2022-11-23T01:32:30.9471231Z  
2022-11-23T01:32:30.9471243Z 
2022-11-23T01:32:30.9471560Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579
2022-11-23T01:32:30.9471784Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9472166Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9472503Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9472865Z [2022-11-23 01:29:11,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9473111Z [2022-11-23 01:29:11,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:30.9473425Z [2022-11-23 01:29:11,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580
2022-11-23T01:32:30.9473651Z [2022-11-23 01:29:11,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9473967Z [2022-11-23 01:29:11,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9474235Z [2022-11-23 01:29:11,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T01:32:30.9474528Z [2022-11-23 01:29:11,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T01:32:30.9474772Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.9475044Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9475295Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9475707Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578>
2022-11-23T01:32:30.9475981Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9476222Z [2022-11-23 01:29:11,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9476481Z [2022-11-23 01:29:11,722] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9476734Z [2022-11-23 01:29:11,724] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9476929Z [2022-11-23 01:29:11,724] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9477064Z  __compiled_fn_394 <eval_with_key>.2440 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9477160Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9477415Z call_function, empty_like, <built-in method empty_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9477554Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T01:32:30.9477681Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T01:32:30.9477687Z 
2022-11-23T01:32:30.9478018Z [2022-11-23 01:29:11,725] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9478121Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9478219Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9478305Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9478406Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9478501Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9478596Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9478680Z              12 RETURN_VALUE
2022-11-23T01:32:30.9478685Z 
2022-11-23T01:32:30.9478752Z  
2022-11-23T01:32:30.9479077Z [2022-11-23 01:29:11,725] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9479192Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_394)
2022-11-23T01:32:30.9479290Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9479391Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9479474Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9479567Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9479679Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9479793Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9479889Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9479965Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.9480075Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9480173Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9480257Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9480353Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.9480433Z              26 RETURN_VALUE
2022-11-23T01:32:30.9480439Z 
2022-11-23T01:32:30.9480504Z  
2022-11-23T01:32:30.9480687Z [2022-11-23 01:29:11,725] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9480766Z  - 
2022-11-23T01:32:30.9480892Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9480963Z             {
2022-11-23T01:32:30.9481111Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9481304Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9481428Z                 'obj_weakref': None
2022-11-23T01:32:30.9481651Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9481721Z             }
2022-11-23T01:32:30.9481788Z             
2022-11-23T01:32:30.9481865Z  - 
2022-11-23T01:32:30.9482023Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9482115Z             {
2022-11-23T01:32:30.9482265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9482371Z                 'code': None,
2022-11-23T01:32:30.9482584Z                 'obj_weakref': <weakref at 0x7f2023234b80; to 'Tensor' at 0x7f2023064d10>
2022-11-23T01:32:30.9482842Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9482913Z             }
2022-11-23T01:32:30.9482983Z             
2022-11-23T01:32:30.9483060Z  - 
2022-11-23T01:32:30.9483196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9483257Z             {
2022-11-23T01:32:30.9483399Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9483574Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9483699Z                 'obj_weakref': None
2022-11-23T01:32:30.9483936Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9484010Z             }
2022-11-23T01:32:30.9484078Z             
2022-11-23T01:32:30.9484146Z  - 
2022-11-23T01:32:30.9484273Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9484343Z             {
2022-11-23T01:32:30.9484486Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9484708Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9484833Z                 'obj_weakref': None
2022-11-23T01:32:30.9485058Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9485120Z             }
2022-11-23T01:32:30.9485188Z             
2022-11-23T01:32:30.9485262Z  - 
2022-11-23T01:32:30.9485400Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9485468Z             {
2022-11-23T01:32:30.9485595Z                 'guard_types': None,
2022-11-23T01:32:30.9485711Z                 'code': None,
2022-11-23T01:32:30.9485827Z                 'obj_weakref': None
2022-11-23T01:32:30.9485957Z                 'guarded_class': None
2022-11-23T01:32:30.9486025Z             }
2022-11-23T01:32:30.9486093Z             
2022-11-23T01:32:30.9486167Z  - 
2022-11-23T01:32:30.9486304Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9486366Z             {
2022-11-23T01:32:30.9486491Z                 'guard_types': None,
2022-11-23T01:32:30.9486602Z                 'code': None,
2022-11-23T01:32:30.9486726Z                 'obj_weakref': None
2022-11-23T01:32:30.9486852Z                 'guarded_class': None
2022-11-23T01:32:30.9486921Z             }
2022-11-23T01:32:30.9486988Z             
2022-11-23T01:32:30.9487249Z [2022-11-23 01:29:11,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384
2022-11-23T01:32:30.9487501Z [2022-11-23 01:29:11,732] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9487872Z [2022-11-23 01:29:11,791] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lh/clhrfgkkqz7crusj6d2v7pmd56s4d4zvbjsygwzc6ezjzfkrmnpl.py
2022-11-23T01:32:30.9488145Z [2022-11-23 01:29:11,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384
2022-11-23T01:32:30.9488386Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9488704Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9488930Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9489189Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9489502Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9489829Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9490192Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9490516Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9490892Z [2022-11-23 01:29:11,794] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578> 
2022-11-23T01:32:30.9490997Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9491107Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T01:32:30.9491208Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9491305Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9491410Z                8 STORE_FAST               1 (b)
2022-11-23T01:32:30.9491416Z 
2022-11-23T01:32:30.9491519Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:30.9491622Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T01:32:30.9491728Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9491841Z               16 CALL_METHOD              1
2022-11-23T01:32:30.9491952Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9492055Z               20 BUILD_TUPLE              2
2022-11-23T01:32:30.9492136Z               22 RETURN_VALUE
2022-11-23T01:32:30.9492204Z  
2022-11-23T01:32:30.9492209Z 
2022-11-23T01:32:30.9492522Z [2022-11-23 01:29:11,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579
2022-11-23T01:32:30.9492754Z [2022-11-23 01:29:11,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9493135Z [2022-11-23 01:29:11,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9493469Z [2022-11-23 01:29:11,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9493830Z [2022-11-23 01:29:11,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9494076Z [2022-11-23 01:29:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:30.9494388Z [2022-11-23 01:29:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580
2022-11-23T01:32:30.9494611Z [2022-11-23 01:29:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9494930Z [2022-11-23 01:29:11,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9495193Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T01:32:30.9495490Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T01:32:30.9495724Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.9495997Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9496247Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9496660Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578>
2022-11-23T01:32:30.9496930Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9497169Z [2022-11-23 01:29:11,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9497432Z [2022-11-23 01:29:11,803] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9497689Z [2022-11-23 01:29:11,807] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9497883Z [2022-11-23 01:29:11,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9498021Z  __compiled_fn_395 <eval_with_key>.2446 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9498117Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9498365Z call_function, empty_like, <built-in method empty_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9498506Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T01:32:30.9498633Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T01:32:30.9498638Z 
2022-11-23T01:32:30.9499163Z [2022-11-23 01:29:11,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9499267Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9499367Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9499454Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9499555Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9499649Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9499748Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9499835Z              12 RETURN_VALUE
2022-11-23T01:32:30.9499844Z 
2022-11-23T01:32:30.9499909Z  
2022-11-23T01:32:30.9500234Z [2022-11-23 01:29:11,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9500354Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_395)
2022-11-23T01:32:30.9500444Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9500541Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9500624Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9500718Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9500830Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9500940Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9501040Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9501115Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.9501227Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9501323Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9501405Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9501500Z              24 BUILD_TUPLE              2
2022-11-23T01:32:30.9501581Z              26 RETURN_VALUE
2022-11-23T01:32:30.9501587Z 
2022-11-23T01:32:30.9501652Z  
2022-11-23T01:32:30.9501834Z [2022-11-23 01:29:11,808] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9501909Z  - 
2022-11-23T01:32:30.9502034Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9502103Z             {
2022-11-23T01:32:30.9502250Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9502445Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9502569Z                 'obj_weakref': None
2022-11-23T01:32:30.9502796Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9502859Z             }
2022-11-23T01:32:30.9502973Z             
2022-11-23T01:32:30.9503075Z  - 
2022-11-23T01:32:30.9503207Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9503275Z             {
2022-11-23T01:32:30.9503425Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9503531Z                 'code': None,
2022-11-23T01:32:30.9503751Z                 'obj_weakref': <weakref at 0x7f1ff814cf90; to 'Tensor' at 0x7f1fd9a8e890>
2022-11-23T01:32:30.9504005Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9504074Z             }
2022-11-23T01:32:30.9504143Z             
2022-11-23T01:32:30.9504219Z  - 
2022-11-23T01:32:30.9504355Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9504417Z             {
2022-11-23T01:32:30.9504558Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9504735Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9504862Z                 'obj_weakref': None
2022-11-23T01:32:30.9505098Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9505170Z             }
2022-11-23T01:32:30.9505239Z             
2022-11-23T01:32:30.9505308Z  - 
2022-11-23T01:32:30.9505441Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9505510Z             {
2022-11-23T01:32:30.9505653Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9505874Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9505998Z                 'obj_weakref': None
2022-11-23T01:32:30.9506225Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9506296Z             }
2022-11-23T01:32:30.9506357Z             
2022-11-23T01:32:30.9506434Z  - 
2022-11-23T01:32:30.9506572Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9506640Z             {
2022-11-23T01:32:30.9506771Z                 'guard_types': None,
2022-11-23T01:32:30.9506885Z                 'code': None,
2022-11-23T01:32:30.9507001Z                 'obj_weakref': None
2022-11-23T01:32:30.9507130Z                 'guarded_class': None
2022-11-23T01:32:30.9507197Z             }
2022-11-23T01:32:30.9507267Z             
2022-11-23T01:32:30.9507343Z  - 
2022-11-23T01:32:30.9507481Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9507549Z             {
2022-11-23T01:32:30.9507668Z                 'guard_types': None,
2022-11-23T01:32:30.9507780Z                 'code': None,
2022-11-23T01:32:30.9507903Z                 'obj_weakref': None
2022-11-23T01:32:30.9508030Z                 'guarded_class': None
2022-11-23T01:32:30.9508098Z             }
2022-11-23T01:32:30.9508167Z             
2022-11-23T01:32:30.9508433Z [2022-11-23 01:29:11,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385
2022-11-23T01:32:30.9508684Z [2022-11-23 01:29:11,815] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9509059Z [2022-11-23 01:29:11,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5n3qlqqqbmsog3qpyjlam6okbdapoyjkfc2bcefwimzv3trb5a.py
2022-11-23T01:32:30.9509329Z [2022-11-23 01:29:11,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385
2022-11-23T01:32:30.9509335Z 
2022-11-23T01:32:30.9509436Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9509510Z import torch
2022-11-23T01:32:30.9509584Z import random
2022-11-23T01:32:30.9509705Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9509833Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9509838Z 
2022-11-23T01:32:30.9509915Z aten = torch.ops.aten
2022-11-23T01:32:30.9510054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9510151Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9510156Z 
2022-11-23T01:32:30.9510330Z import triton
2022-11-23T01:32:30.9510443Z import triton.language as tl
2022-11-23T01:32:30.9510625Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9510772Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9510777Z 
2022-11-23T01:32:30.9510782Z 
2022-11-23T01:32:30.9510955Z triton_fused_empty_like0 = async_compile.triton('''
2022-11-23T01:32:30.9511023Z import triton
2022-11-23T01:32:30.9511118Z import triton.language as tl
2022-11-23T01:32:30.9511235Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9511338Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9511474Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9511603Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9511609Z 
2022-11-23T01:32:30.9511974Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:30.9512053Z @triton.jit
2022-11-23T01:32:30.9512171Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9512246Z     xnumel = 100
2022-11-23T01:32:30.9512346Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9512478Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9512562Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9512634Z     x0 = xindex
2022-11-23T01:32:30.9512705Z     tmp0 = 0
2022-11-23T01:32:30.9512836Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.9512922Z ''')
2022-11-23T01:32:30.9512928Z 
2022-11-23T01:32:30.9512933Z 
2022-11-23T01:32:30.9513027Z async_compile.wait(globals())
2022-11-23T01:32:30.9513106Z del async_compile
2022-11-23T01:32:30.9513112Z 
2022-11-23T01:32:30.9513188Z def call(args):
2022-11-23T01:32:30.9513262Z     arg0_1, = args
2022-11-23T01:32:30.9513337Z     args.clear()
2022-11-23T01:32:30.9513532Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9513627Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9513769Z     triton_fused_empty_like0.run(buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:30.9513861Z     aten.bernoulli_(buf0, )
2022-11-23T01:32:30.9513944Z     return (buf0, buf0, )
2022-11-23T01:32:30.9513949Z 
2022-11-23T01:32:30.9513954Z 
2022-11-23T01:32:30.9514036Z if __name__ == "__main__":
2022-11-23T01:32:30.9514155Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9514284Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9514477Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9514590Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9514595Z 
2022-11-23T01:32:30.9514600Z 
2022-11-23T01:32:30.9514699Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9514774Z import torch
2022-11-23T01:32:30.9514849Z import random
2022-11-23T01:32:30.9514974Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9515102Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9515107Z 
2022-11-23T01:32:30.9515190Z aten = torch.ops.aten
2022-11-23T01:32:30.9515322Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9515419Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9515424Z 
2022-11-23T01:32:30.9515502Z import triton
2022-11-23T01:32:30.9515595Z import triton.language as tl
2022-11-23T01:32:30.9515725Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9515865Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9515871Z 
2022-11-23T01:32:30.9515875Z 
2022-11-23T01:32:30.9516045Z triton_fused_empty_like0 = async_compile.triton('''
2022-11-23T01:32:30.9516120Z import triton
2022-11-23T01:32:30.9516206Z import triton.language as tl
2022-11-23T01:32:30.9516320Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9516456Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9516611Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9516738Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9516743Z 
2022-11-23T01:32:30.9517101Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:30.9517174Z @triton.jit
2022-11-23T01:32:30.9517298Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9517366Z     xnumel = 100
2022-11-23T01:32:30.9517466Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9517599Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9517683Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9517756Z     x0 = xindex
2022-11-23T01:32:30.9517827Z     tmp0 = 0
2022-11-23T01:32:30.9517961Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:30.9518048Z ''')
2022-11-23T01:32:30.9518054Z 
2022-11-23T01:32:30.9518058Z 
2022-11-23T01:32:30.9518152Z async_compile.wait(globals())
2022-11-23T01:32:30.9518232Z del async_compile
2022-11-23T01:32:30.9518238Z 
2022-11-23T01:32:30.9518315Z def call(args):
2022-11-23T01:32:30.9518390Z     arg0_1, = args
2022-11-23T01:32:30.9518465Z     args.clear()
2022-11-23T01:32:30.9518664Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9518749Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9518891Z     triton_fused_empty_like0.run(buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:30.9518980Z     aten.bernoulli_(buf0, )
2022-11-23T01:32:30.9519064Z     return (buf0, buf0, )
2022-11-23T01:32:30.9519069Z 
2022-11-23T01:32:30.9519074Z 
2022-11-23T01:32:30.9519156Z if __name__ == "__main__":
2022-11-23T01:32:30.9519275Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9519409Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9519612Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9519718Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9519723Z 
2022-11-23T01:32:30.9519795Z ok (0.167s)
2022-11-23T01:32:30.9520113Z   test_bernoulli2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9520437Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9520660Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9520920Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9521205Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9521531Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9521898Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9522255Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9522623Z [2022-11-23 01:29:11,880] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590> 
2022-11-23T01:32:30.9522726Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9522835Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T01:32:30.9522960Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9523075Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9523158Z                8 RETURN_VALUE
2022-11-23T01:32:30.9523225Z  
2022-11-23T01:32:30.9523230Z 
2022-11-23T01:32:30.9523550Z [2022-11-23 01:29:11,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591
2022-11-23T01:32:30.9523763Z [2022-11-23 01:29:11,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9524077Z [2022-11-23 01:29:11,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9524345Z [2022-11-23 01:29:11,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T01:32:30.9524641Z [2022-11-23 01:29:11,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T01:32:30.9524893Z [2022-11-23 01:29:11,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9525272Z [2022-11-23 01:29:11,888] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590>
2022-11-23T01:32:30.9525523Z [2022-11-23 01:29:11,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9525762Z [2022-11-23 01:29:11,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9526021Z [2022-11-23 01:29:11,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9526276Z [2022-11-23 01:29:11,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9526466Z [2022-11-23 01:29:11,891] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9526610Z  __compiled_fn_396 <eval_with_key>.2452 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9526707Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9526835Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T01:32:30.9526951Z output, output, output, ((bernoulli,),), {}
2022-11-23T01:32:30.9526957Z 
2022-11-23T01:32:30.9527288Z [2022-11-23 01:29:11,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9527391Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9527489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9527580Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9527681Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9527773Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9527867Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9527950Z              12 RETURN_VALUE
2022-11-23T01:32:30.9527957Z 
2022-11-23T01:32:30.9528024Z  
2022-11-23T01:32:30.9528347Z [2022-11-23 01:29:11,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9528458Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_396)
2022-11-23T01:32:30.9528555Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9528656Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9528739Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9528832Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9528929Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9529010Z              12 RETURN_VALUE
2022-11-23T01:32:30.9529015Z 
2022-11-23T01:32:30.9529081Z  
2022-11-23T01:32:30.9529262Z [2022-11-23 01:29:11,892] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9529338Z  - 
2022-11-23T01:32:30.9529492Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9529582Z             {
2022-11-23T01:32:30.9529731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9529924Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9530050Z                 'obj_weakref': None
2022-11-23T01:32:30.9530272Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9530343Z             }
2022-11-23T01:32:30.9530412Z             
2022-11-23T01:32:30.9530489Z  - 
2022-11-23T01:32:30.9530620Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9530687Z             {
2022-11-23T01:32:30.9530837Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9530943Z                 'code': None,
2022-11-23T01:32:30.9531161Z                 'obj_weakref': <weakref at 0x7f1ff818ebb0; to 'Tensor' at 0x7f1fead4e660>
2022-11-23T01:32:30.9531420Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9531491Z             }
2022-11-23T01:32:30.9531561Z             
2022-11-23T01:32:30.9531637Z  - 
2022-11-23T01:32:30.9531774Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9531835Z             {
2022-11-23T01:32:30.9531976Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9532167Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9532307Z                 'obj_weakref': None
2022-11-23T01:32:30.9532558Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9532630Z             }
2022-11-23T01:32:30.9532700Z             
2022-11-23T01:32:30.9532769Z  - 
2022-11-23T01:32:30.9532897Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9532965Z             {
2022-11-23T01:32:30.9533106Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9533329Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9533455Z                 'obj_weakref': None
2022-11-23T01:32:30.9533682Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9533744Z             }
2022-11-23T01:32:30.9533812Z             
2022-11-23T01:32:30.9533887Z  - 
2022-11-23T01:32:30.9534023Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9534092Z             {
2022-11-23T01:32:30.9534217Z                 'guard_types': None,
2022-11-23T01:32:30.9534322Z                 'code': None,
2022-11-23T01:32:30.9534447Z                 'obj_weakref': None
2022-11-23T01:32:30.9534573Z                 'guarded_class': None
2022-11-23T01:32:30.9534643Z             }
2022-11-23T01:32:30.9534712Z             
2022-11-23T01:32:30.9534981Z [2022-11-23 01:29:11,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386
2022-11-23T01:32:30.9535250Z [2022-11-23 01:29:11,897] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:30.9535506Z [2022-11-23 01:29:11,902] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9535862Z [2022-11-23 01:29:12,092] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c4/cc4ty36ou2ioqeezuigmpnv2lvnfl7ws6557mv7q5aur4oxfn5qf.py
2022-11-23T01:32:30.9536136Z [2022-11-23 01:29:12,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386
2022-11-23T01:32:30.9536380Z [2022-11-23 01:29:12,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9536697Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9536922Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9537212Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9537514Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9537834Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9538180Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9538508Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9539089Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590> 
2022-11-23T01:32:30.9539199Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9539315Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T01:32:30.9539416Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9539513Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9539595Z                8 RETURN_VALUE
2022-11-23T01:32:30.9539661Z  
2022-11-23T01:32:30.9539667Z 
2022-11-23T01:32:30.9539989Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591
2022-11-23T01:32:30.9540204Z [2022-11-23 01:29:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9540520Z [2022-11-23 01:29:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9540788Z [2022-11-23 01:29:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T01:32:30.9541085Z [2022-11-23 01:29:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T01:32:30.9541337Z [2022-11-23 01:29:12,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9541714Z [2022-11-23 01:29:12,102] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e882f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590>
2022-11-23T01:32:30.9541961Z [2022-11-23 01:29:12,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9542199Z [2022-11-23 01:29:12,102] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9542458Z [2022-11-23 01:29:12,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9542716Z [2022-11-23 01:29:12,104] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9542906Z [2022-11-23 01:29:12,105] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9543048Z  __compiled_fn_397 <eval_with_key>.2458 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9543144Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9543270Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T01:32:30.9543383Z output, output, output, ((bernoulli,),), {}
2022-11-23T01:32:30.9543388Z 
2022-11-23T01:32:30.9550223Z [2022-11-23 01:29:12,105] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9550444Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9550559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9550664Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9550855Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9550976Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9551075Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9551159Z              12 RETURN_VALUE
2022-11-23T01:32:30.9551165Z 
2022-11-23T01:32:30.9551235Z  
2022-11-23T01:32:30.9551588Z [2022-11-23 01:29:12,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9551706Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_397)
2022-11-23T01:32:30.9551797Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9551895Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9551982Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9552099Z               8 CALL_FUNCTION            1
2022-11-23T01:32:30.9552206Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9552303Z              12 RETURN_VALUE
2022-11-23T01:32:30.9552308Z 
2022-11-23T01:32:30.9552380Z  
2022-11-23T01:32:30.9552565Z [2022-11-23 01:29:12,106] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9552640Z  - 
2022-11-23T01:32:30.9552765Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9552836Z             {
2022-11-23T01:32:30.9552984Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9553176Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:30.9553301Z                 'obj_weakref': None
2022-11-23T01:32:30.9553522Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9553593Z             }
2022-11-23T01:32:30.9553661Z             
2022-11-23T01:32:30.9553740Z  - 
2022-11-23T01:32:30.9553870Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9553939Z             {
2022-11-23T01:32:30.9554086Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9554192Z                 'code': None,
2022-11-23T01:32:30.9554410Z                 'obj_weakref': <weakref at 0x7f20726e50d0; to 'Tensor' at 0x7f1ff8141c60>
2022-11-23T01:32:30.9554667Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9554738Z             }
2022-11-23T01:32:30.9554807Z             
2022-11-23T01:32:30.9554884Z  - 
2022-11-23T01:32:30.9555021Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9555084Z             {
2022-11-23T01:32:30.9555225Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9555399Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9555524Z                 'obj_weakref': None
2022-11-23T01:32:30.9555754Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9555825Z             }
2022-11-23T01:32:30.9555894Z             
2022-11-23T01:32:30.9555963Z  - 
2022-11-23T01:32:30.9556094Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9556164Z             {
2022-11-23T01:32:30.9556307Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9556526Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9556649Z                 'obj_weakref': None
2022-11-23T01:32:30.9556872Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9556934Z             }
2022-11-23T01:32:30.9557005Z             
2022-11-23T01:32:30.9557082Z  - 
2022-11-23T01:32:30.9557219Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:30.9557289Z             {
2022-11-23T01:32:30.9557413Z                 'guard_types': None,
2022-11-23T01:32:30.9557525Z                 'code': None,
2022-11-23T01:32:30.9557640Z                 'obj_weakref': None
2022-11-23T01:32:30.9557767Z                 'guarded_class': None
2022-11-23T01:32:30.9557836Z             }
2022-11-23T01:32:30.9557905Z             
2022-11-23T01:32:30.9558203Z [2022-11-23 01:29:12,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387
2022-11-23T01:32:30.9558482Z [2022-11-23 01:29:12,110] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:30.9558732Z [2022-11-23 01:29:12,115] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:30.9559091Z [2022-11-23 01:29:12,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/co/ccowsmqa4jukv5xolhs26zhkijx7ea7666ktx2zfkgd67jbtgfpo.py
2022-11-23T01:32:30.9559350Z [2022-11-23 01:29:12,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387
2022-11-23T01:32:30.9559356Z 
2022-11-23T01:32:30.9559460Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9559536Z import torch
2022-11-23T01:32:30.9559613Z import random
2022-11-23T01:32:30.9559738Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9559868Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9559876Z 
2022-11-23T01:32:30.9559963Z aten = torch.ops.aten
2022-11-23T01:32:30.9560111Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9560203Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9560208Z 
2022-11-23T01:32:30.9560285Z import triton
2022-11-23T01:32:30.9560385Z import triton.language as tl
2022-11-23T01:32:30.9560515Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9560661Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9560832Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:30.9560838Z 
2022-11-23T01:32:30.9560842Z 
2022-11-23T01:32:30.9561013Z triton_fused_lt_rand_like0 = async_compile.triton('''
2022-11-23T01:32:30.9561088Z import triton
2022-11-23T01:32:30.9561175Z import triton.language as tl
2022-11-23T01:32:30.9561295Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9561401Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9561540Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9561668Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9561673Z 
2022-11-23T01:32:30.9562055Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9562131Z @triton.jit
2022-11-23T01:32:30.9562275Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9562343Z     xnumel = 8
2022-11-23T01:32:30.9562444Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9562577Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9562663Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9562736Z     x0 = xindex
2022-11-23T01:32:30.9562871Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:30.9562973Z     tmp5 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9563041Z     tmp1 = 65535
2022-11-23T01:32:30.9563123Z     tmp2 = tmp0 ^ tmp1
2022-11-23T01:32:30.9563196Z     tmp3 = x0
2022-11-23T01:32:30.9563286Z     tmp4 = tl.rand(tmp2, tmp3)
2022-11-23T01:32:30.9563366Z     tmp6 = tmp4 < tmp5
2022-11-23T01:32:30.9563508Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:30.9563588Z ''')
2022-11-23T01:32:30.9563602Z 
2022-11-23T01:32:30.9563606Z 
2022-11-23T01:32:30.9563694Z async_compile.wait(globals())
2022-11-23T01:32:30.9563773Z del async_compile
2022-11-23T01:32:30.9563778Z 
2022-11-23T01:32:30.9563854Z def call(args):
2022-11-23T01:32:30.9563928Z     arg0_1, = args
2022-11-23T01:32:30.9564005Z     args.clear()
2022-11-23T01:32:30.9564142Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:30.9564391Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9564513Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9564675Z     triton_fused_lt_rand_like0.run(seed_cuda_0, arg0_1, buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:30.9564753Z     del arg0_1
2022-11-23T01:32:30.9564831Z     return (buf0, )
2022-11-23T01:32:30.9564837Z 
2022-11-23T01:32:30.9564841Z 
2022-11-23T01:32:30.9564925Z if __name__ == "__main__":
2022-11-23T01:32:30.9565048Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9565180Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9565380Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.9565571Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9565686Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9565692Z 
2022-11-23T01:32:30.9565696Z 
2022-11-23T01:32:30.9565796Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9565873Z import torch
2022-11-23T01:32:30.9565950Z import random
2022-11-23T01:32:30.9566074Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9566202Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9566207Z 
2022-11-23T01:32:30.9566292Z aten = torch.ops.aten
2022-11-23T01:32:30.9566428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9566525Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9566530Z 
2022-11-23T01:32:30.9566608Z import triton
2022-11-23T01:32:30.9566701Z import triton.language as tl
2022-11-23T01:32:30.9566828Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9566971Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9567138Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:30.9567144Z 
2022-11-23T01:32:30.9567148Z 
2022-11-23T01:32:30.9567323Z triton_fused_lt_rand_like0 = async_compile.triton('''
2022-11-23T01:32:30.9567397Z import triton
2022-11-23T01:32:30.9567493Z import triton.language as tl
2022-11-23T01:32:30.9567609Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9567714Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9567851Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9567977Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9567983Z 
2022-11-23T01:32:30.9568360Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9568435Z @triton.jit
2022-11-23T01:32:30.9568571Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9568646Z     xnumel = 8
2022-11-23T01:32:30.9568744Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9568883Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9568969Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9569044Z     x0 = xindex
2022-11-23T01:32:30.9569175Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:30.9569288Z     tmp5 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:30.9569364Z     tmp1 = 65535
2022-11-23T01:32:30.9569447Z     tmp2 = tmp0 ^ tmp1
2022-11-23T01:32:30.9569520Z     tmp3 = x0
2022-11-23T01:32:30.9569608Z     tmp4 = tl.rand(tmp2, tmp3)
2022-11-23T01:32:30.9569689Z     tmp6 = tmp4 < tmp5
2022-11-23T01:32:30.9569828Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:30.9569908Z ''')
2022-11-23T01:32:30.9569914Z 
2022-11-23T01:32:30.9569919Z 
2022-11-23T01:32:30.9570013Z async_compile.wait(globals())
2022-11-23T01:32:30.9570094Z del async_compile
2022-11-23T01:32:30.9570099Z 
2022-11-23T01:32:30.9570176Z def call(args):
2022-11-23T01:32:30.9570251Z     arg0_1, = args
2022-11-23T01:32:30.9570326Z     args.clear()
2022-11-23T01:32:30.9570493Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:30.9570696Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9570792Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9570953Z     triton_fused_lt_rand_like0.run(seed_cuda_0, arg0_1, buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:30.9571027Z     del arg0_1
2022-11-23T01:32:30.9571106Z     return (buf0, )
2022-11-23T01:32:30.9571112Z 
2022-11-23T01:32:30.9571116Z 
2022-11-23T01:32:30.9571199Z if __name__ == "__main__":
2022-11-23T01:32:30.9571320Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9571450Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9571638Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:30.9571833Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:30.9571951Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:30.9571957Z 
2022-11-23T01:32:30.9572035Z ok (0.329s)
2022-11-23T01:32:30.9572345Z   test_bitwise2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:12,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9572663Z [2022-11-23 01:29:12,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9572883Z [2022-11-23 01:29:12,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9573138Z [2022-11-23 01:29:12,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9573421Z [2022-11-23 01:29:12,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9573741Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9574094Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9574422Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9574801Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736> 
2022-11-23T01:32:30.9574907Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9575017Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:30.9575117Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9575214Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9575220Z 
2022-11-23T01:32:30.9575325Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9575427Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:30.9575527Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9575624Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9575722Z               16 CALL_METHOD              2
2022-11-23T01:32:30.9575727Z 
2022-11-23T01:32:30.9575826Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9575935Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:30.9576032Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9576128Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9576216Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9576221Z 
2022-11-23T01:32:30.9576321Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9576428Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:30.9576554Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9576650Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9576766Z               36 CALL_METHOD              2
2022-11-23T01:32:30.9576771Z 
2022-11-23T01:32:30.9576869Z 2737          38 BUILD_TUPLE              4
2022-11-23T01:32:30.9576945Z               40 RETURN_VALUE
2022-11-23T01:32:30.9577015Z  
2022-11-23T01:32:30.9577021Z 
2022-11-23T01:32:30.9577338Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738
2022-11-23T01:32:30.9577566Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9577937Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9578274Z [2022-11-23 01:29:12,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9578633Z [2022-11-23 01:29:12,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9579091Z [2022-11-23 01:29:12,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739
2022-11-23T01:32:30.9579352Z [2022-11-23 01:29:12,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9579756Z [2022-11-23 01:29:12,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9580120Z [2022-11-23 01:29:12,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9580505Z [2022-11-23 01:29:12,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9580907Z [2022-11-23 01:29:12,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9581220Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740
2022-11-23T01:32:30.9581500Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9581940Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9582327Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9582731Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9583169Z [2022-11-23 01:29:12,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9583482Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741
2022-11-23T01:32:30.9583828Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9584318Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9584734Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9585175Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9585652Z [2022-11-23 01:29:12,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9585972Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737
2022-11-23T01:32:30.9586301Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9586547Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9586928Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736>
2022-11-23T01:32:30.9587185Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9587432Z [2022-11-23 01:29:12,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9587696Z [2022-11-23 01:29:12,216] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9587953Z [2022-11-23 01:29:12,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9588147Z [2022-11-23 01:29:12,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9588293Z  __compiled_fn_398 <eval_with_key>.2464 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9588391Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9588478Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9588733Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9588987Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9589242Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9589500Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9589658Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:30.9589664Z 
2022-11-23T01:32:30.9589997Z [2022-11-23 01:29:12,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9590107Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9590208Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9590359Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9590475Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9590612Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9590723Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9590844Z              12 RETURN_VALUE
2022-11-23T01:32:30.9590850Z 
2022-11-23T01:32:30.9590932Z  
2022-11-23T01:32:30.9591532Z [2022-11-23 01:29:12,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9591645Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_398)
2022-11-23T01:32:30.9591746Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9591846Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9591930Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9592025Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9592120Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9592204Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9592292Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9592409Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9592528Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9592625Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9592709Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9592819Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9592916Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9592997Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9593100Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9593199Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9593281Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9593391Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9593486Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9593567Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9593663Z              42 BUILD_TUPLE              4
2022-11-23T01:32:30.9593740Z              44 RETURN_VALUE
2022-11-23T01:32:30.9593748Z 
2022-11-23T01:32:30.9593816Z  
2022-11-23T01:32:30.9594008Z [2022-11-23 01:29:12,221] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9594084Z  - 
2022-11-23T01:32:30.9594213Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9594284Z             {
2022-11-23T01:32:30.9594431Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9594617Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9594743Z                 'obj_weakref': None
2022-11-23T01:32:30.9594971Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9595042Z             }
2022-11-23T01:32:30.9595112Z             
2022-11-23T01:32:30.9595190Z  - 
2022-11-23T01:32:30.9595321Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9595384Z             {
2022-11-23T01:32:30.9595534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9595647Z                 'code': None,
2022-11-23T01:32:30.9595871Z                 'obj_weakref': <weakref at 0x7f201e36b3d0; to 'Tensor' at 0x7f1ff816a110>
2022-11-23T01:32:30.9596121Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9596195Z             }
2022-11-23T01:32:30.9596266Z             
2022-11-23T01:32:30.9596336Z  - 
2022-11-23T01:32:30.9596467Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9596538Z             {
2022-11-23T01:32:30.9596690Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9596803Z                 'code': None,
2022-11-23T01:32:30.9597020Z                 'obj_weakref': <weakref at 0x7f2022eebd80; to 'Tensor' at 0x7f1ff8168630>
2022-11-23T01:32:30.9597273Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9597336Z             }
2022-11-23T01:32:30.9597455Z             
2022-11-23T01:32:30.9597533Z  - 
2022-11-23T01:32:30.9597695Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9597766Z             {
2022-11-23T01:32:30.9597910Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9598090Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9598208Z                 'obj_weakref': None
2022-11-23T01:32:30.9598440Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9598510Z             }
2022-11-23T01:32:30.9598580Z             
2022-11-23T01:32:30.9598656Z  - 
2022-11-23T01:32:30.9598783Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9598853Z             {
2022-11-23T01:32:30.9598987Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9599206Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9599330Z                 'obj_weakref': None
2022-11-23T01:32:30.9599553Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9599626Z             }
2022-11-23T01:32:30.9599695Z             
2022-11-23T01:32:30.9599772Z  - 
2022-11-23T01:32:30.9599902Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9599971Z             {
2022-11-23T01:32:30.9600096Z                 'guard_types': None,
2022-11-23T01:32:30.9600208Z                 'code': None,
2022-11-23T01:32:30.9600334Z                 'obj_weakref': None
2022-11-23T01:32:30.9600461Z                 'guarded_class': None
2022-11-23T01:32:30.9600530Z             }
2022-11-23T01:32:30.9600591Z             
2022-11-23T01:32:30.9600857Z [2022-11-23 01:29:12,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388
2022-11-23T01:32:30.9601236Z [2022-11-23 01:29:12,240] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.9601617Z [2022-11-23 01:29:12,413] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zi/cziatthxlgzrlbzvzpnhwhff2gdqwmldkqmzsodjpw2lt44v6sc4.py
2022-11-23T01:32:30.9601886Z [2022-11-23 01:29:12,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388
2022-11-23T01:32:30.9602129Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9602446Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9602670Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9602926Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9603203Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9603527Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9603873Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9604195Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9604568Z [2022-11-23 01:29:12,417] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736> 
2022-11-23T01:32:30.9604676Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9604819Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:30.9604922Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9605039Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9605045Z 
2022-11-23T01:32:30.9605141Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9605251Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:30.9605352Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9605450Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9605546Z               16 CALL_METHOD              2
2022-11-23T01:32:30.9605551Z 
2022-11-23T01:32:30.9605653Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9605764Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:30.9605862Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9605951Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9606046Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9606053Z 
2022-11-23T01:32:30.9606154Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9606266Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:30.9606361Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9606457Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9606552Z               36 CALL_METHOD              2
2022-11-23T01:32:30.9606557Z 
2022-11-23T01:32:30.9606653Z 2737          38 BUILD_TUPLE              4
2022-11-23T01:32:30.9606729Z               40 RETURN_VALUE
2022-11-23T01:32:30.9606795Z  
2022-11-23T01:32:30.9606800Z 
2022-11-23T01:32:30.9607121Z [2022-11-23 01:29:12,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738
2022-11-23T01:32:30.9607347Z [2022-11-23 01:29:12,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9607728Z [2022-11-23 01:29:12,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9608060Z [2022-11-23 01:29:12,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9608424Z [2022-11-23 01:29:12,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9608746Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739
2022-11-23T01:32:30.9609003Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9609412Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9609767Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9610148Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9610566Z [2022-11-23 01:29:12,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9610884Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740
2022-11-23T01:32:30.9611189Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9611643Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9612078Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9612485Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9612935Z [2022-11-23 01:29:12,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9613258Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741
2022-11-23T01:32:30.9613563Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9614022Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9614435Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9614876Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9615352Z [2022-11-23 01:29:12,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9615673Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737
2022-11-23T01:32:30.9615986Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9616237Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9616617Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736>
2022-11-23T01:32:30.9616867Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9617106Z [2022-11-23 01:29:12,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9617365Z [2022-11-23 01:29:12,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9617618Z [2022-11-23 01:29:12,428] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9617813Z [2022-11-23 01:29:12,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9617957Z  __compiled_fn_399 <eval_with_key>.2470 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9618047Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9618166Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9618440Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9618699Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9619141Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9619400Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9619560Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:30.9619567Z 
2022-11-23T01:32:30.9619898Z [2022-11-23 01:29:12,429] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9620002Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9620098Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9620198Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9620300Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9620395Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9620490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9620575Z              12 RETURN_VALUE
2022-11-23T01:32:30.9620581Z 
2022-11-23T01:32:30.9620647Z  
2022-11-23T01:32:30.9620961Z [2022-11-23 01:29:12,429] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9621080Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_399)
2022-11-23T01:32:30.9621177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9621276Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9621362Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9621458Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9621554Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9621644Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9621732Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9621847Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9621957Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9622054Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9622137Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9622249Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9622346Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9622420Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9622529Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9622628Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9622710Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9622821Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9622919Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9623002Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9623089Z              42 BUILD_TUPLE              4
2022-11-23T01:32:30.9623170Z              44 RETURN_VALUE
2022-11-23T01:32:30.9623176Z 
2022-11-23T01:32:30.9623245Z  
2022-11-23T01:32:30.9623436Z [2022-11-23 01:29:12,430] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9623512Z  - 
2022-11-23T01:32:30.9623638Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9623712Z             {
2022-11-23T01:32:30.9623853Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9624047Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9624175Z                 'obj_weakref': None
2022-11-23T01:32:30.9624407Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9624478Z             }
2022-11-23T01:32:30.9624597Z             
2022-11-23T01:32:30.9624698Z  - 
2022-11-23T01:32:30.9624823Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9624895Z             {
2022-11-23T01:32:30.9625047Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9625161Z                 'code': None,
2022-11-23T01:32:30.9625380Z                 'obj_weakref': <weakref at 0x7f201e36b3d0; to 'Tensor' at 0x7f1ff816a110>
2022-11-23T01:32:30.9625635Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9625706Z             }
2022-11-23T01:32:30.9625768Z             
2022-11-23T01:32:30.9625846Z  - 
2022-11-23T01:32:30.9625977Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9626048Z             {
2022-11-23T01:32:30.9626199Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9626314Z                 'code': None,
2022-11-23T01:32:30.9626536Z                 'obj_weakref': <weakref at 0x7f2022eebd80; to 'Tensor' at 0x7f1ff8168630>
2022-11-23T01:32:30.9626792Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9626855Z             }
2022-11-23T01:32:30.9626924Z             
2022-11-23T01:32:30.9627001Z  - 
2022-11-23T01:32:30.9627139Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9627209Z             {
2022-11-23T01:32:30.9627353Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9627522Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9627648Z                 'obj_weakref': None
2022-11-23T01:32:30.9627881Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9627951Z             }
2022-11-23T01:32:30.9628020Z             
2022-11-23T01:32:30.9628096Z  - 
2022-11-23T01:32:30.9628224Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9628286Z             {
2022-11-23T01:32:30.9628431Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9628652Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9628779Z                 'obj_weakref': None
2022-11-23T01:32:30.9629012Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9629080Z             }
2022-11-23T01:32:30.9629148Z             
2022-11-23T01:32:30.9629217Z  - 
2022-11-23T01:32:30.9629355Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9629425Z             {
2022-11-23T01:32:30.9629551Z                 'guard_types': None,
2022-11-23T01:32:30.9629664Z                 'code': None,
2022-11-23T01:32:30.9629788Z                 'obj_weakref': None
2022-11-23T01:32:30.9629916Z                 'guarded_class': None
2022-11-23T01:32:30.9629978Z             }
2022-11-23T01:32:30.9630045Z             
2022-11-23T01:32:30.9630378Z [2022-11-23 01:29:12,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389
2022-11-23T01:32:30.9630795Z [2022-11-23 01:29:12,447] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.9631159Z [2022-11-23 01:29:12,456] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c5777bojddm63il4enyfbpmp2ghumnrrzanhkmfzlqowuqio65mq.py
2022-11-23T01:32:30.9631427Z [2022-11-23 01:29:12,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389
2022-11-23T01:32:30.9631433Z 
2022-11-23T01:32:30.9631536Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9631614Z import torch
2022-11-23T01:32:30.9631682Z import random
2022-11-23T01:32:30.9631807Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9631937Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9631942Z 
2022-11-23T01:32:30.9632064Z aten = torch.ops.aten
2022-11-23T01:32:30.9632211Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9632332Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9632337Z 
2022-11-23T01:32:30.9632412Z import triton
2022-11-23T01:32:30.9632505Z import triton.language as tl
2022-11-23T01:32:30.9632627Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9632772Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9632777Z 
2022-11-23T01:32:30.9632782Z 
2022-11-23T01:32:30.9633013Z triton_fused_bitwise_or_bitwise_not_bitwise_xor_bitwise_and0 = async_compile.triton('''
2022-11-23T01:32:30.9633090Z import triton
2022-11-23T01:32:30.9633186Z import triton.language as tl
2022-11-23T01:32:30.9633304Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9633410Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9633546Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9633671Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9633680Z 
2022-11-23T01:32:30.9634095Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i1', 1: '*i1', 2: '*i1', 3: '*i1', 4: '*i1', 5: '*i1', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:30.9634174Z @triton.jit
2022-11-23T01:32:30.9634348Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9634423Z     xnumel = 40
2022-11-23T01:32:30.9634523Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9634655Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9634741Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9634807Z     x0 = xindex
2022-11-23T01:32:30.9634906Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9635004Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9635085Z     tmp1 = tmp0 == 0
2022-11-23T01:32:30.9635166Z     tmp3 = tmp0 | tmp2
2022-11-23T01:32:30.9635249Z     tmp4 = tmp0 ^ tmp2
2022-11-23T01:32:30.9635329Z     tmp5 = tmp0 & tmp2
2022-11-23T01:32:30.9635464Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9635601Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9635738Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9635872Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9635959Z ''')
2022-11-23T01:32:30.9635964Z 
2022-11-23T01:32:30.9635969Z 
2022-11-23T01:32:30.9636064Z async_compile.wait(globals())
2022-11-23T01:32:30.9636143Z del async_compile
2022-11-23T01:32:30.9636149Z 
2022-11-23T01:32:30.9636226Z def call(args):
2022-11-23T01:32:30.9636300Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9636375Z     args.clear()
2022-11-23T01:32:30.9636575Z     buf0 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9636772Z     buf1 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9636962Z     buf2 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9637150Z     buf3 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9637245Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9637443Z     triton_fused_bitwise_or_bitwise_not_bitwise_xor_bitwise_and0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:30.9637519Z     del arg0_1
2022-11-23T01:32:30.9637596Z     del arg1_1
2022-11-23T01:32:30.9637692Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.9637697Z 
2022-11-23T01:32:30.9637702Z 
2022-11-23T01:32:30.9637784Z if __name__ == "__main__":
2022-11-23T01:32:30.9637905Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9638036Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9638267Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9638474Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9638599Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9638604Z 
2022-11-23T01:32:30.9638609Z 
2022-11-23T01:32:30.9638708Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9638786Z import torch
2022-11-23T01:32:30.9638863Z import random
2022-11-23T01:32:30.9638987Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9639115Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9639120Z 
2022-11-23T01:32:30.9639204Z aten = torch.ops.aten
2022-11-23T01:32:30.9639338Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9639435Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9639440Z 
2022-11-23T01:32:30.9639517Z import triton
2022-11-23T01:32:30.9639616Z import triton.language as tl
2022-11-23T01:32:30.9639744Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9639890Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9639895Z 
2022-11-23T01:32:30.9639900Z 
2022-11-23T01:32:30.9640126Z triton_fused_bitwise_and_bitwise_or_bitwise_xor_bitwise_not0 = async_compile.triton('''
2022-11-23T01:32:30.9640201Z import triton
2022-11-23T01:32:30.9640288Z import triton.language as tl
2022-11-23T01:32:30.9640404Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9640508Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9640646Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9640774Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9640779Z 
2022-11-23T01:32:30.9641189Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i1', 1: '*i1', 2: '*i1', 3: '*i1', 4: '*i1', 5: '*i1', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:30.9641265Z @triton.jit
2022-11-23T01:32:30.9641440Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9641509Z     xnumel = 40
2022-11-23T01:32:30.9641612Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9641746Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9641831Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9641903Z     x0 = xindex
2022-11-23T01:32:30.9642001Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9642100Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9642171Z     tmp1 = tmp0 == 0
2022-11-23T01:32:30.9642250Z     tmp3 = tmp0 | tmp2
2022-11-23T01:32:30.9642329Z     tmp4 = tmp0 ^ tmp2
2022-11-23T01:32:30.9642408Z     tmp5 = tmp0 & tmp2
2022-11-23T01:32:30.9642546Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9642685Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9642825Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9642951Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9643037Z ''')
2022-11-23T01:32:30.9643043Z 
2022-11-23T01:32:30.9643047Z 
2022-11-23T01:32:30.9643143Z async_compile.wait(globals())
2022-11-23T01:32:30.9643222Z del async_compile
2022-11-23T01:32:30.9643227Z 
2022-11-23T01:32:30.9643303Z def call(args):
2022-11-23T01:32:30.9643383Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9643458Z     args.clear()
2022-11-23T01:32:30.9643651Z     buf0 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9643836Z     buf1 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9644024Z     buf2 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9644253Z     buf3 = empty_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9644365Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9644572Z     triton_fused_bitwise_and_bitwise_or_bitwise_xor_bitwise_not0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:30.9644646Z     del arg0_1
2022-11-23T01:32:30.9644720Z     del arg1_1
2022-11-23T01:32:30.9644806Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.9644819Z 
2022-11-23T01:32:30.9644824Z 
2022-11-23T01:32:30.9644898Z if __name__ == "__main__":
2022-11-23T01:32:30.9645021Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9645151Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9645348Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9645543Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9645666Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9645674Z 
2022-11-23T01:32:30.9645747Z ok (0.251s)
2022-11-23T01:32:30.9646061Z   test_bitwise_cuda (__main__.CudaTests) ... [2022-11-23 01:29:12,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9646372Z [2022-11-23 01:29:12,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9646593Z [2022-11-23 01:29:12,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9646852Z [2022-11-23 01:29:12,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9647131Z [2022-11-23 01:29:12,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9647448Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9647795Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9648120Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9648495Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718> 
2022-11-23T01:32:30.9648603Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9648711Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:30.9648804Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9648901Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9648906Z 
2022-11-23T01:32:30.9649007Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9649118Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:30.9649219Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9649317Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9649416Z               16 CALL_METHOD              2
2022-11-23T01:32:30.9649422Z 
2022-11-23T01:32:30.9649523Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9649624Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:30.9649721Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9649816Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9649909Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9649914Z 
2022-11-23T01:32:30.9650013Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9650124Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:30.9650220Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9650348Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9650463Z               36 CALL_METHOD              2
2022-11-23T01:32:30.9650467Z 
2022-11-23T01:32:30.9650564Z 2719          38 BUILD_TUPLE              4
2022-11-23T01:32:30.9650648Z               40 RETURN_VALUE
2022-11-23T01:32:30.9650717Z  
2022-11-23T01:32:30.9650723Z 
2022-11-23T01:32:30.9651040Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720
2022-11-23T01:32:30.9651266Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9651638Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9651971Z [2022-11-23 01:29:12,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9652332Z [2022-11-23 01:29:12,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9652634Z [2022-11-23 01:29:12,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721
2022-11-23T01:32:30.9652885Z [2022-11-23 01:29:12,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9653280Z [2022-11-23 01:29:12,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9653629Z [2022-11-23 01:29:12,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9654002Z [2022-11-23 01:29:12,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9654414Z [2022-11-23 01:29:12,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9654723Z [2022-11-23 01:29:12,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722
2022-11-23T01:32:30.9654996Z [2022-11-23 01:29:12,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9655422Z [2022-11-23 01:29:12,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9655800Z [2022-11-23 01:29:12,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9656206Z [2022-11-23 01:29:12,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9656649Z [2022-11-23 01:29:12,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9656968Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723
2022-11-23T01:32:30.9657296Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9657765Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9658173Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9658602Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9659263Z [2022-11-23 01:29:12,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9659586Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719
2022-11-23T01:32:30.9659911Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9660163Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9660542Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718>
2022-11-23T01:32:30.9660793Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9661036Z [2022-11-23 01:29:12,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9661296Z [2022-11-23 01:29:12,467] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9661548Z [2022-11-23 01:29:12,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9661737Z [2022-11-23 01:29:12,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9661885Z  __compiled_fn_400 <eval_with_key>.2476 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9661981Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9662077Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9662332Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9662589Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9662844Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9663098Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9663249Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:30.9663263Z 
2022-11-23T01:32:30.9663582Z [2022-11-23 01:29:12,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9663685Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9663783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9663878Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9663980Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9664074Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9664217Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9664344Z              12 RETURN_VALUE
2022-11-23T01:32:30.9664349Z 
2022-11-23T01:32:30.9664416Z  
2022-11-23T01:32:30.9664741Z [2022-11-23 01:29:12,472] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9664859Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_400)
2022-11-23T01:32:30.9664957Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9665056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9665141Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9665238Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9665327Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9665410Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9665504Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9665620Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9665733Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9665833Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9665916Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9666019Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9666114Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9666196Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9666304Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9666400Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9666482Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9666591Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9666678Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9666762Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9666855Z              42 BUILD_TUPLE              4
2022-11-23T01:32:30.9666939Z              44 RETURN_VALUE
2022-11-23T01:32:30.9666947Z 
2022-11-23T01:32:30.9667012Z  
2022-11-23T01:32:30.9667205Z [2022-11-23 01:29:12,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9667281Z  - 
2022-11-23T01:32:30.9667400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9667472Z             {
2022-11-23T01:32:30.9667623Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9667817Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9667942Z                 'obj_weakref': None
2022-11-23T01:32:30.9668169Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9668239Z             }
2022-11-23T01:32:30.9668301Z             
2022-11-23T01:32:30.9668378Z  - 
2022-11-23T01:32:30.9668507Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9668576Z             {
2022-11-23T01:32:30.9668726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9668842Z                 'code': None,
2022-11-23T01:32:30.9669062Z                 'obj_weakref': <weakref at 0x7f2023236e30; to 'Tensor' at 0x7f1fe80f80e0>
2022-11-23T01:32:30.9669307Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9669378Z             }
2022-11-23T01:32:30.9669449Z             
2022-11-23T01:32:30.9669525Z  - 
2022-11-23T01:32:30.9669654Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9669722Z             {
2022-11-23T01:32:30.9669870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9669976Z                 'code': None,
2022-11-23T01:32:30.9670187Z                 'obj_weakref': <weakref at 0x7f1fe0335a80; to 'Tensor' at 0x7f20726e78d0>
2022-11-23T01:32:30.9670524Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9670597Z             }
2022-11-23T01:32:30.9670707Z             
2022-11-23T01:32:30.9670785Z  - 
2022-11-23T01:32:30.9670961Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9671023Z             {
2022-11-23T01:32:30.9671168Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9671344Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9671473Z                 'obj_weakref': None
2022-11-23T01:32:30.9671706Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9671776Z             }
2022-11-23T01:32:30.9671844Z             
2022-11-23T01:32:30.9671913Z  - 
2022-11-23T01:32:30.9672040Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9672110Z             {
2022-11-23T01:32:30.9672253Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9672474Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9672598Z                 'obj_weakref': None
2022-11-23T01:32:30.9672823Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9672887Z             }
2022-11-23T01:32:30.9672956Z             
2022-11-23T01:32:30.9673034Z  - 
2022-11-23T01:32:30.9673174Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9673244Z             {
2022-11-23T01:32:30.9673371Z                 'guard_types': None,
2022-11-23T01:32:30.9673485Z                 'code': None,
2022-11-23T01:32:30.9673601Z                 'obj_weakref': None
2022-11-23T01:32:30.9673728Z                 'guarded_class': None
2022-11-23T01:32:30.9673798Z             }
2022-11-23T01:32:30.9673868Z             
2022-11-23T01:32:30.9674131Z [2022-11-23 01:29:12,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390
2022-11-23T01:32:30.9674510Z [2022-11-23 01:29:12,488] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.9674879Z [2022-11-23 01:29:12,556] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eq/ceqsoykmrmvw2npxz43hib46qctvjxmzwh3gceheigubzjih6tpn.py
2022-11-23T01:32:30.9675146Z [2022-11-23 01:29:12,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390
2022-11-23T01:32:30.9675379Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9675694Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9675917Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9676172Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9676454Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9676772Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9677124Z [2022-11-23 01:29:12,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9677448Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9677827Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718> 
2022-11-23T01:32:30.9677931Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9678035Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:30.9678166Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9678284Z                6 CALL_METHOD              1
2022-11-23T01:32:30.9678290Z 
2022-11-23T01:32:30.9678391Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9678501Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:30.9678600Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9678696Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9678789Z               16 CALL_METHOD              2
2022-11-23T01:32:30.9678795Z 
2022-11-23T01:32:30.9678888Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9678996Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:30.9679095Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9679191Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9679284Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9679288Z 
2022-11-23T01:32:30.9679392Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9679503Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:30.9679599Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:30.9679687Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:30.9679782Z               36 CALL_METHOD              2
2022-11-23T01:32:30.9679786Z 
2022-11-23T01:32:30.9679882Z 2719          38 BUILD_TUPLE              4
2022-11-23T01:32:30.9679964Z               40 RETURN_VALUE
2022-11-23T01:32:30.9680030Z  
2022-11-23T01:32:30.9680035Z 
2022-11-23T01:32:30.9680356Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720
2022-11-23T01:32:30.9680581Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9680963Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9681306Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9681662Z [2022-11-23 01:29:12,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9682019Z [2022-11-23 01:29:12,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721
2022-11-23T01:32:30.9682291Z [2022-11-23 01:29:12,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9682694Z [2022-11-23 01:29:12,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9683054Z [2022-11-23 01:29:12,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9683430Z [2022-11-23 01:29:12,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9683838Z [2022-11-23 01:29:12,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9684152Z [2022-11-23 01:29:12,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722
2022-11-23T01:32:30.9684452Z [2022-11-23 01:29:12,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9684900Z [2022-11-23 01:29:12,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9685285Z [2022-11-23 01:29:12,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9685695Z [2022-11-23 01:29:12,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9686135Z [2022-11-23 01:29:12,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9686446Z [2022-11-23 01:29:12,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723
2022-11-23T01:32:30.9686754Z [2022-11-23 01:29:12,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9687211Z [2022-11-23 01:29:12,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9687624Z [2022-11-23 01:29:12,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9688065Z [2022-11-23 01:29:12,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9688538Z [2022-11-23 01:29:12,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9688856Z [2022-11-23 01:29:12,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719
2022-11-23T01:32:30.9689184Z [2022-11-23 01:29:12,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9689435Z [2022-11-23 01:29:12,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9689820Z [2022-11-23 01:29:12,565] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718>
2022-11-23T01:32:30.9690074Z [2022-11-23 01:29:12,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9690317Z [2022-11-23 01:29:12,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9690578Z [2022-11-23 01:29:12,566] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9690825Z [2022-11-23 01:29:12,569] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9691020Z [2022-11-23 01:29:12,570] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9691163Z  __compiled_fn_401 <eval_with_key>.2482 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9691261Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9691393Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9691651Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9691928Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9692200Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9692478Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9692638Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:30.9692644Z 
2022-11-23T01:32:30.9692973Z [2022-11-23 01:29:12,570] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9693076Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9693179Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9693276Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9693379Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9693477Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9693565Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9693650Z              12 RETURN_VALUE
2022-11-23T01:32:30.9693655Z 
2022-11-23T01:32:30.9693723Z  
2022-11-23T01:32:30.9694045Z [2022-11-23 01:29:12,570] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9694165Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_401)
2022-11-23T01:32:30.9694262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9694361Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9694444Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9694532Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9694632Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9694718Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9694813Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9694927Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9695037Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9695135Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9695210Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9695324Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9695422Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9695505Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9695612Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9695711Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9695794Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9695900Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9695995Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9696082Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9696176Z              42 BUILD_TUPLE              4
2022-11-23T01:32:30.9696259Z              44 RETURN_VALUE
2022-11-23T01:32:30.9696264Z 
2022-11-23T01:32:30.9696331Z  
2022-11-23T01:32:30.9696523Z [2022-11-23 01:29:12,571] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9696601Z  - 
2022-11-23T01:32:30.9696721Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9696793Z             {
2022-11-23T01:32:30.9696946Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9697140Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9697270Z                 'obj_weakref': None
2022-11-23T01:32:30.9697502Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9697572Z             }
2022-11-23T01:32:30.9697667Z             
2022-11-23T01:32:30.9697744Z  - 
2022-11-23T01:32:30.9697900Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9697971Z             {
2022-11-23T01:32:30.9698126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9698241Z                 'code': None,
2022-11-23T01:32:30.9698462Z                 'obj_weakref': <weakref at 0x7f2023236e30; to 'Tensor' at 0x7f1fe80f80e0>
2022-11-23T01:32:30.9698707Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9698971Z             }
2022-11-23T01:32:30.9699047Z             
2022-11-23T01:32:30.9699127Z  - 
2022-11-23T01:32:30.9699257Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9699329Z             {
2022-11-23T01:32:30.9699473Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9699587Z                 'code': None,
2022-11-23T01:32:30.9699804Z                 'obj_weakref': <weakref at 0x7f1fe0335a80; to 'Tensor' at 0x7f20726e78d0>
2022-11-23T01:32:30.9700060Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9700134Z             }
2022-11-23T01:32:30.9700204Z             
2022-11-23T01:32:30.9700282Z  - 
2022-11-23T01:32:30.9700418Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9700480Z             {
2022-11-23T01:32:30.9700624Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9700801Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9700927Z                 'obj_weakref': None
2022-11-23T01:32:30.9701158Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9701229Z             }
2022-11-23T01:32:30.9701299Z             
2022-11-23T01:32:30.9701368Z  - 
2022-11-23T01:32:30.9701496Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9701566Z             {
2022-11-23T01:32:30.9701710Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9701935Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9702061Z                 'obj_weakref': None
2022-11-23T01:32:30.9702287Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9702350Z             }
2022-11-23T01:32:30.9702420Z             
2022-11-23T01:32:30.9702497Z  - 
2022-11-23T01:32:30.9702637Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9702707Z             {
2022-11-23T01:32:30.9702836Z                 'guard_types': None,
2022-11-23T01:32:30.9702942Z                 'code': None,
2022-11-23T01:32:30.9703067Z                 'obj_weakref': None
2022-11-23T01:32:30.9703196Z                 'guarded_class': None
2022-11-23T01:32:30.9703265Z             }
2022-11-23T01:32:30.9703336Z             
2022-11-23T01:32:30.9703607Z [2022-11-23 01:29:12,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391
2022-11-23T01:32:30.9703996Z [2022-11-23 01:29:12,588] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:30.9704362Z [2022-11-23 01:29:12,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjgfzyr7lgjofc3biwk4gppbt35eq6q3m3ajgkla33acryxtaem.py
2022-11-23T01:32:30.9704622Z [2022-11-23 01:29:12,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391
2022-11-23T01:32:30.9704637Z 
2022-11-23T01:32:30.9704731Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9704807Z import torch
2022-11-23T01:32:30.9704882Z import random
2022-11-23T01:32:30.9705008Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9705137Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9705142Z 
2022-11-23T01:32:30.9705228Z aten = torch.ops.aten
2022-11-23T01:32:30.9705422Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9705540Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9705545Z 
2022-11-23T01:32:30.9705625Z import triton
2022-11-23T01:32:30.9705720Z import triton.language as tl
2022-11-23T01:32:30.9705850Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9705997Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9706002Z 
2022-11-23T01:32:30.9706007Z 
2022-11-23T01:32:30.9706239Z triton_fused_bitwise_not_bitwise_and_bitwise_or_bitwise_xor0 = async_compile.triton('''
2022-11-23T01:32:30.9706315Z import triton
2022-11-23T01:32:30.9706410Z import triton.language as tl
2022-11-23T01:32:30.9706520Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9706625Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9706763Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9706896Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9706903Z 
2022-11-23T01:32:30.9707326Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i32', 1: '*i32', 2: '*i32', 3: '*i32', 4: '*i32', 5: '*i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:30.9707400Z @triton.jit
2022-11-23T01:32:30.9707580Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9707657Z     xnumel = 64
2022-11-23T01:32:30.9707749Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9707885Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9707971Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9708044Z     x0 = xindex
2022-11-23T01:32:30.9708144Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9708242Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9708317Z     tmp1 = ~tmp0
2022-11-23T01:32:30.9708393Z     tmp3 = tmp0 | tmp2
2022-11-23T01:32:30.9708476Z     tmp4 = tmp0 ^ tmp2
2022-11-23T01:32:30.9708555Z     tmp5 = tmp0 & tmp2
2022-11-23T01:32:30.9708695Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9708832Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9708969Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9709102Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9709182Z ''')
2022-11-23T01:32:30.9709195Z 
2022-11-23T01:32:30.9709199Z 
2022-11-23T01:32:30.9709287Z async_compile.wait(globals())
2022-11-23T01:32:30.9709366Z del async_compile
2022-11-23T01:32:30.9709371Z 
2022-11-23T01:32:30.9709448Z def call(args):
2022-11-23T01:32:30.9709530Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9709610Z     args.clear()
2022-11-23T01:32:30.9709803Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9709994Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9710181Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9710444Z     buf3 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9710536Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9710741Z     triton_fused_bitwise_not_bitwise_and_bitwise_or_bitwise_xor0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.9710815Z     del arg0_1
2022-11-23T01:32:30.9710890Z     del arg1_1
2022-11-23T01:32:30.9710987Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.9710992Z 
2022-11-23T01:32:30.9710996Z 
2022-11-23T01:32:30.9711076Z if __name__ == "__main__":
2022-11-23T01:32:30.9711189Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9711319Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9711554Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9711770Z     arg1_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9711894Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9711900Z 
2022-11-23T01:32:30.9711904Z 
2022-11-23T01:32:30.9712005Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9712082Z import torch
2022-11-23T01:32:30.9712156Z import random
2022-11-23T01:32:30.9712270Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9712398Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9712403Z 
2022-11-23T01:32:30.9712485Z aten = torch.ops.aten
2022-11-23T01:32:30.9712625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9712721Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9712727Z 
2022-11-23T01:32:30.9712801Z import triton
2022-11-23T01:32:30.9712895Z import triton.language as tl
2022-11-23T01:32:30.9713018Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9713164Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9713169Z 
2022-11-23T01:32:30.9713174Z 
2022-11-23T01:32:30.9713399Z triton_fused_bitwise_or_bitwise_not_bitwise_xor_bitwise_and0 = async_compile.triton('''
2022-11-23T01:32:30.9713477Z import triton
2022-11-23T01:32:30.9713570Z import triton.language as tl
2022-11-23T01:32:30.9713686Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9713790Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9713924Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9714044Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9714059Z 
2022-11-23T01:32:30.9714473Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i32', 1: '*i32', 2: '*i32', 3: '*i32', 4: '*i32', 5: '*i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:30.9714550Z @triton.jit
2022-11-23T01:32:30.9714725Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9714800Z     xnumel = 64
2022-11-23T01:32:30.9714902Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9715034Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9715122Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9715187Z     x0 = xindex
2022-11-23T01:32:30.9715284Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9715379Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9715458Z     tmp1 = ~tmp0
2022-11-23T01:32:30.9715536Z     tmp3 = tmp0 | tmp2
2022-11-23T01:32:30.9715615Z     tmp4 = tmp0 ^ tmp2
2022-11-23T01:32:30.9715691Z     tmp5 = tmp0 & tmp2
2022-11-23T01:32:30.9715821Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9715958Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9716094Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9716226Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9716313Z ''')
2022-11-23T01:32:30.9716318Z 
2022-11-23T01:32:30.9716323Z 
2022-11-23T01:32:30.9716418Z async_compile.wait(globals())
2022-11-23T01:32:30.9716495Z del async_compile
2022-11-23T01:32:30.9716500Z 
2022-11-23T01:32:30.9716575Z def call(args):
2022-11-23T01:32:30.9716648Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9716722Z     args.clear()
2022-11-23T01:32:30.9716911Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9717097Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9717288Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9717502Z     buf3 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9717595Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9717819Z     triton_fused_bitwise_or_bitwise_not_bitwise_xor_bitwise_and0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:30.9717885Z     del arg0_1
2022-11-23T01:32:30.9717959Z     del arg1_1
2022-11-23T01:32:30.9718053Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:30.9718058Z 
2022-11-23T01:32:30.9718063Z 
2022-11-23T01:32:30.9718145Z if __name__ == "__main__":
2022-11-23T01:32:30.9718267Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9718396Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9718590Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9718781Z     arg1_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:30.9718895Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9718900Z 
2022-11-23T01:32:30.9718971Z ok (0.140s)
2022-11-23T01:32:30.9719279Z   test_bmm1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:12,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9719595Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9719819Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9720081Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9720363Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9720682Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9721032Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9721354Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9721733Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:30.9721840Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9721942Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:30.9722042Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9722137Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9722232Z                8 CALL_METHOD              2
2022-11-23T01:32:30.9722237Z 
2022-11-23T01:32:30.9722342Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9722444Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:30.9722532Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9722627Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9722706Z               18 BINARY_ADD
2022-11-23T01:32:30.9722799Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9722891Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9722968Z               24 BINARY_ADD
2022-11-23T01:32:30.9723062Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9723149Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:30.9723225Z               30 BINARY_ADD
2022-11-23T01:32:30.9723230Z 
2022-11-23T01:32:30.9723325Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:32:30.9723409Z               34 RETURN_VALUE
2022-11-23T01:32:30.9723476Z  
2022-11-23T01:32:30.9723481Z 
2022-11-23T01:32:30.9723825Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:32:30.9724066Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9724432Z [2022-11-23 01:29:12,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9724738Z [2022-11-23 01:29:12,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9725077Z [2022-11-23 01:29:12,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9725448Z [2022-11-23 01:29:12,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9725760Z [2022-11-23 01:29:12,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:32:30.9726010Z [2022-11-23 01:29:12,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9726396Z [2022-11-23 01:29:12,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9726736Z [2022-11-23 01:29:12,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9727100Z [2022-11-23 01:29:12,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9727512Z [2022-11-23 01:29:12,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9727877Z [2022-11-23 01:29:12,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9728267Z [2022-11-23 01:29:12,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9728703Z [2022-11-23 01:29:12,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9729100Z [2022-11-23 01:29:12,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9729369Z [2022-11-23 01:29:12,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9729668Z [2022-11-23 01:29:12,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9729976Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:32:30.9730249Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9730497Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9730897Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:30.9731164Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9731403Z [2022-11-23 01:29:12,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9731661Z [2022-11-23 01:29:12,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9731916Z [2022-11-23 01:29:12,611] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9732112Z [2022-11-23 01:29:12,612] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9732248Z  __compiled_fn_402 <eval_with_key>.2488 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9732347Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9732443Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9732682Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9732861Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.9733043Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:30.9733273Z call_function, bmm_1, <built-in method bmm of type object at 0x7f209c394c60>, (add, add_1), {}
2022-11-23T01:32:30.9733452Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:30.9733554Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:30.9733560Z 
2022-11-23T01:32:30.9733884Z [2022-11-23 01:29:12,612] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9733985Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9734084Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9734180Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9734282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9734373Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9734460Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9734541Z              12 RETURN_VALUE
2022-11-23T01:32:30.9734547Z 
2022-11-23T01:32:30.9734614Z  
2022-11-23T01:32:30.9734942Z [2022-11-23 01:29:12,612] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9735058Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_402)
2022-11-23T01:32:30.9735155Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9735250Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9735332Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9735420Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9735514Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9735598Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9735692Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9735805Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9735914Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9736008Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9736081Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9736190Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9736283Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9736363Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9736455Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.9736536Z              32 RETURN_VALUE
2022-11-23T01:32:30.9736541Z 
2022-11-23T01:32:30.9736606Z  
2022-11-23T01:32:30.9736788Z [2022-11-23 01:29:12,613] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9736865Z  - 
2022-11-23T01:32:30.9737031Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9737118Z             {
2022-11-23T01:32:30.9737269Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9737462Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9737589Z                 'obj_weakref': None
2022-11-23T01:32:30.9737818Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9737880Z             }
2022-11-23T01:32:30.9737949Z             
2022-11-23T01:32:30.9738025Z  - 
2022-11-23T01:32:30.9738155Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9738224Z             {
2022-11-23T01:32:30.9738373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9738477Z                 'code': None,
2022-11-23T01:32:30.9738694Z                 'obj_weakref': <weakref at 0x7f1ff81502c0; to 'Tensor' at 0x7f21159b6520>
2022-11-23T01:32:30.9739144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9739216Z             }
2022-11-23T01:32:30.9739284Z             
2022-11-23T01:32:30.9739359Z  - 
2022-11-23T01:32:30.9739486Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9739547Z             {
2022-11-23T01:32:30.9739697Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9739810Z                 'code': None,
2022-11-23T01:32:30.9740024Z                 'obj_weakref': <weakref at 0x7f202322a480; to 'Tensor' at 0x7f1ff818db20>
2022-11-23T01:32:30.9740276Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9740345Z             }
2022-11-23T01:32:30.9740412Z             
2022-11-23T01:32:30.9740488Z  - 
2022-11-23T01:32:30.9740617Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9740685Z             {
2022-11-23T01:32:30.9740825Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9741005Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9741131Z                 'obj_weakref': None
2022-11-23T01:32:30.9741365Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9741434Z             }
2022-11-23T01:32:30.9741495Z             
2022-11-23T01:32:30.9741569Z  - 
2022-11-23T01:32:30.9741694Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9741762Z             {
2022-11-23T01:32:30.9741906Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9742158Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9742298Z                 'obj_weakref': None
2022-11-23T01:32:30.9742515Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9742582Z             }
2022-11-23T01:32:30.9742648Z             
2022-11-23T01:32:30.9742724Z  - 
2022-11-23T01:32:30.9742863Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9742933Z             {
2022-11-23T01:32:30.9743050Z                 'guard_types': None,
2022-11-23T01:32:30.9743161Z                 'code': None,
2022-11-23T01:32:30.9743284Z                 'obj_weakref': None
2022-11-23T01:32:30.9743410Z                 'guarded_class': None
2022-11-23T01:32:30.9743479Z             }
2022-11-23T01:32:30.9743548Z             
2022-11-23T01:32:30.9743810Z [2022-11-23 01:29:12,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392
2022-11-23T01:32:30.9744057Z [2022-11-23 01:29:12,631] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9744306Z [2022-11-23 01:29:12,632] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.9744554Z [2022-11-23 01:29:12,633] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:30.9744961Z [2022-11-23 01:29:12,708] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2o/c2olvq7fl5e4cmgwbzqe7v4xat7qnmin6d35l4umavjffzabxtpf.py
2022-11-23T01:32:30.9745252Z [2022-11-23 01:29:12,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392
2022-11-23T01:32:30.9745492Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9745807Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9746028Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9746282Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9746561Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9746877Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9747232Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9747558Z [2022-11-23 01:29:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9747935Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:30.9748040Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9748141Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:30.9748241Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9748337Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9748433Z                8 CALL_METHOD              2
2022-11-23T01:32:30.9748439Z 
2022-11-23T01:32:30.9748532Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9748631Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:30.9748725Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9748819Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:30.9748897Z               18 BINARY_ADD
2022-11-23T01:32:30.9748991Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9749084Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9749154Z               24 BINARY_ADD
2022-11-23T01:32:30.9749246Z               26 CALL_METHOD              2
2022-11-23T01:32:30.9749342Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:30.9749422Z               30 BINARY_ADD
2022-11-23T01:32:30.9749428Z 
2022-11-23T01:32:30.9749525Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:32:30.9749608Z               34 RETURN_VALUE
2022-11-23T01:32:30.9749671Z  
2022-11-23T01:32:30.9749676Z 
2022-11-23T01:32:30.9749997Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:32:30.9750216Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9750664Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9750983Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9751364Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9751757Z [2022-11-23 01:29:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9752067Z [2022-11-23 01:29:12,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:32:30.9752318Z [2022-11-23 01:29:12,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:30.9752706Z [2022-11-23 01:29:12,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9753047Z [2022-11-23 01:29:12,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9753411Z [2022-11-23 01:29:12,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9753830Z [2022-11-23 01:29:12,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9754194Z [2022-11-23 01:29:12,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9754585Z [2022-11-23 01:29:12,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9755011Z [2022-11-23 01:29:12,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9755407Z [2022-11-23 01:29:12,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9755673Z [2022-11-23 01:29:12,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9755978Z [2022-11-23 01:29:12,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:30.9756294Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:32:30.9756570Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9756822Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9757200Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f228c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:30.9757450Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9757691Z [2022-11-23 01:29:12,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9757952Z [2022-11-23 01:29:12,719] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9758200Z [2022-11-23 01:29:12,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9758418Z [2022-11-23 01:29:12,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9758581Z  __compiled_fn_403 <eval_with_key>.2494 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9758677Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9758772Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9759004Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9759179Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:30.9759356Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:30.9759578Z call_function, bmm_1, <built-in method bmm of type object at 0x7f209c394c60>, (add, add_1), {}
2022-11-23T01:32:30.9759756Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:30.9759865Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:30.9759871Z 
2022-11-23T01:32:30.9760203Z [2022-11-23 01:29:12,724] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9760307Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9760407Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9760501Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9760600Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9760685Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9760780Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9760864Z              12 RETURN_VALUE
2022-11-23T01:32:30.9760869Z 
2022-11-23T01:32:30.9760934Z  
2022-11-23T01:32:30.9761252Z [2022-11-23 01:29:12,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9761370Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_403)
2022-11-23T01:32:30.9761466Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9761564Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9761641Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9761736Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9761831Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9761911Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9762005Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9762116Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9762225Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9762313Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9762395Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9762504Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9762600Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9762680Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9762775Z              30 BUILD_TUPLE              2
2022-11-23T01:32:30.9762857Z              32 RETURN_VALUE
2022-11-23T01:32:30.9762865Z 
2022-11-23T01:32:30.9762923Z  
2022-11-23T01:32:30.9763112Z [2022-11-23 01:29:12,724] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9763187Z  - 
2022-11-23T01:32:30.9763312Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9763381Z             {
2022-11-23T01:32:30.9763530Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9763719Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9763835Z                 'obj_weakref': None
2022-11-23T01:32:30.9764063Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9764133Z             }
2022-11-23T01:32:30.9764200Z             
2022-11-23T01:32:30.9764275Z  - 
2022-11-23T01:32:30.9764403Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9764471Z             {
2022-11-23T01:32:30.9764641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9764754Z                 'code': None,
2022-11-23T01:32:30.9764986Z                 'obj_weakref': <weakref at 0x7f21284662a0; to 'Tensor' at 0x7f1ff8153510>
2022-11-23T01:32:30.9765237Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9765306Z             }
2022-11-23T01:32:30.9765375Z             
2022-11-23T01:32:30.9765450Z  - 
2022-11-23T01:32:30.9765570Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9765639Z             {
2022-11-23T01:32:30.9765787Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9765899Z                 'code': None,
2022-11-23T01:32:30.9766111Z                 'obj_weakref': <weakref at 0x7f201e36a340; to 'Tensor' at 0x7f2023237380>
2022-11-23T01:32:30.9766359Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9766428Z             }
2022-11-23T01:32:30.9766491Z             
2022-11-23T01:32:30.9766566Z  - 
2022-11-23T01:32:30.9766706Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9766774Z             {
2022-11-23T01:32:30.9766918Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9767096Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9767221Z                 'obj_weakref': None
2022-11-23T01:32:30.9767446Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9767515Z             }
2022-11-23T01:32:30.9767582Z             
2022-11-23T01:32:30.9767655Z  - 
2022-11-23T01:32:30.9767781Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9767848Z             {
2022-11-23T01:32:30.9767993Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9768207Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9768336Z                 'obj_weakref': None
2022-11-23T01:32:30.9768567Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9768641Z             }
2022-11-23T01:32:30.9768711Z             
2022-11-23T01:32:30.9768785Z  - 
2022-11-23T01:32:30.9768922Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9768983Z             {
2022-11-23T01:32:30.9769108Z                 'guard_types': None,
2022-11-23T01:32:30.9769219Z                 'code': None,
2022-11-23T01:32:30.9769342Z                 'obj_weakref': None
2022-11-23T01:32:30.9769470Z                 'guarded_class': None
2022-11-23T01:32:30.9769537Z             }
2022-11-23T01:32:30.9769604Z             
2022-11-23T01:32:30.9769863Z [2022-11-23 01:29:12,731] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393
2022-11-23T01:32:30.9770114Z [2022-11-23 01:29:12,742] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:30.9770368Z [2022-11-23 01:29:12,744] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:30.9770619Z [2022-11-23 01:29:12,745] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:30.9770625Z 
2022-11-23T01:32:30.9770726Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9770800Z import torch
2022-11-23T01:32:30.9770874Z import random
2022-11-23T01:32:30.9770999Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9771119Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9771124Z 
2022-11-23T01:32:30.9771209Z aten = torch.ops.aten
2022-11-23T01:32:30.9771355Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9771455Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9771460Z 
2022-11-23T01:32:30.9771536Z import triton
2022-11-23T01:32:30.9771632Z import triton.language as tl
2022-11-23T01:32:30.9771761Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9771955Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9771986Z 
2022-11-23T01:32:30.9771991Z 
2022-11-23T01:32:30.9772149Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.9772244Z import triton
2022-11-23T01:32:30.9772343Z import triton.language as tl
2022-11-23T01:32:30.9772480Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9772584Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9772723Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9772851Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9772856Z 
2022-11-23T01:32:30.9773236Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9773303Z @triton.jit
2022-11-23T01:32:30.9773442Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9773517Z     xnumel = 128
2022-11-23T01:32:30.9773618Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9773751Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9773835Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9773908Z     x0 = xindex
2022-11-23T01:32:30.9773999Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9774069Z     tmp1 = 1
2022-11-23T01:32:30.9774148Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9774284Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9774370Z ''')
2022-11-23T01:32:30.9774375Z 
2022-11-23T01:32:30.9774379Z 
2022-11-23T01:32:30.9774538Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:30.9774612Z import triton
2022-11-23T01:32:30.9774699Z import triton.language as tl
2022-11-23T01:32:30.9774813Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9774916Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9775054Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9775182Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9775188Z 
2022-11-23T01:32:30.9775559Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9775632Z @triton.jit
2022-11-23T01:32:30.9775769Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9775836Z     xnumel = 128
2022-11-23T01:32:30.9775935Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9776066Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9776152Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9776222Z     x0 = xindex
2022-11-23T01:32:30.9776320Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9776391Z     tmp1 = 2
2022-11-23T01:32:30.9776463Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9776604Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9776691Z ''')
2022-11-23T01:32:30.9776696Z 
2022-11-23T01:32:30.9776701Z 
2022-11-23T01:32:30.9776890Z triton_fused_add_2_add_bmm_1_add_12 = async_compile.triton('''
2022-11-23T01:32:30.9776964Z import triton
2022-11-23T01:32:30.9777058Z import triton.language as tl
2022-11-23T01:32:30.9777174Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9777270Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9777406Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9777534Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9777539Z 
2022-11-23T01:32:30.9777900Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.9777973Z @triton.jit
2022-11-23T01:32:30.9778136Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9778240Z     xnumel = 128
2022-11-23T01:32:30.9778337Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9778462Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9778549Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9778621Z     x0 = xindex
2022-11-23T01:32:30.9778723Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9778983Z     tmp1 = 3
2022-11-23T01:32:30.9779064Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9779207Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9779291Z ''')
2022-11-23T01:32:30.9779296Z 
2022-11-23T01:32:30.9779310Z 
2022-11-23T01:32:30.9779395Z async_compile.wait(globals())
2022-11-23T01:32:30.9779473Z del async_compile
2022-11-23T01:32:30.9779479Z 
2022-11-23T01:32:30.9779554Z def call(args):
2022-11-23T01:32:30.9779636Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9779711Z     args.clear()
2022-11-23T01:32:30.9779924Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9780029Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:32:30.9780229Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9780323Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9780463Z     triton_fused_add0.run(arg0_1, buf1, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.9780536Z     del arg0_1
2022-11-23T01:32:30.9780738Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9780879Z     triton_fused_add_11.run(arg1_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.9780952Z     del arg1_1
2022-11-23T01:32:30.9781146Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9781244Z     aten.bmm.out(buf1, buf2, out=buf3)
2022-11-23T01:32:30.9781314Z     del buf1
2022-11-23T01:32:30.9781385Z     del buf2
2022-11-23T01:32:30.9781476Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.9781627Z     triton_fused_add_2_add_bmm_1_add_12.run(buf4, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.9781709Z     return (buf0, buf4, )
2022-11-23T01:32:30.9781714Z 
2022-11-23T01:32:30.9781719Z 
2022-11-23T01:32:30.9781799Z if __name__ == "__main__":
2022-11-23T01:32:30.9781911Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9782043Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9782251Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9782449Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9782570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9782575Z 
2022-11-23T01:32:30.9782945Z [2022-11-23 01:29:12,899] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ad/cadolsrjx4ailkwivr3lw7rw7mvexbjcar5yiuth5pgtmvlhan4l.py
2022-11-23T01:32:30.9783217Z [2022-11-23 01:29:12,899] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393
2022-11-23T01:32:30.9783222Z 
2022-11-23T01:32:30.9783322Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9783389Z import torch
2022-11-23T01:32:30.9783465Z import random
2022-11-23T01:32:30.9783587Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9783713Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9783718Z 
2022-11-23T01:32:30.9783801Z aten = torch.ops.aten
2022-11-23T01:32:30.9783942Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9784038Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9784043Z 
2022-11-23T01:32:30.9784117Z import triton
2022-11-23T01:32:30.9784203Z import triton.language as tl
2022-11-23T01:32:30.9784330Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9784536Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9784566Z 
2022-11-23T01:32:30.9784571Z 
2022-11-23T01:32:30.9784727Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:30.9784802Z import triton
2022-11-23T01:32:30.9784897Z import triton.language as tl
2022-11-23T01:32:30.9785013Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9785108Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9785244Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9785372Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9785377Z 
2022-11-23T01:32:30.9785747Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9785822Z @triton.jit
2022-11-23T01:32:30.9785955Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9786035Z     xnumel = 128
2022-11-23T01:32:30.9786134Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9786262Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9786346Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9786418Z     x0 = xindex
2022-11-23T01:32:30.9786516Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9786585Z     tmp1 = 1
2022-11-23T01:32:30.9786665Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9786803Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9786881Z ''')
2022-11-23T01:32:30.9786892Z 
2022-11-23T01:32:30.9786896Z 
2022-11-23T01:32:30.9787045Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:30.9787120Z import triton
2022-11-23T01:32:30.9787213Z import triton.language as tl
2022-11-23T01:32:30.9787327Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9787430Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9787567Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9787694Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9787702Z 
2022-11-23T01:32:30.9788062Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:30.9788137Z @triton.jit
2022-11-23T01:32:30.9788273Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9788349Z     xnumel = 80
2022-11-23T01:32:30.9788450Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9788581Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9788664Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9788735Z     x0 = xindex
2022-11-23T01:32:30.9788825Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9788897Z     tmp1 = 2
2022-11-23T01:32:30.9788976Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9789119Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9789206Z ''')
2022-11-23T01:32:30.9789212Z 
2022-11-23T01:32:30.9789216Z 
2022-11-23T01:32:30.9789401Z triton_fused_bmm_1_add_add_2_add_12 = async_compile.triton('''
2022-11-23T01:32:30.9789481Z import triton
2022-11-23T01:32:30.9789567Z import triton.language as tl
2022-11-23T01:32:30.9789683Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9789789Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9789923Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9790050Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9790055Z 
2022-11-23T01:32:30.9790483Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:30.9790561Z @triton.jit
2022-11-23T01:32:30.9790727Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9790796Z     xnumel = 160
2022-11-23T01:32:30.9790913Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9791044Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9791128Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9791201Z     x0 = xindex
2022-11-23T01:32:30.9791307Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9791378Z     tmp1 = 3
2022-11-23T01:32:30.9791448Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:30.9791588Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9791677Z ''')
2022-11-23T01:32:30.9791682Z 
2022-11-23T01:32:30.9791687Z 
2022-11-23T01:32:30.9791781Z async_compile.wait(globals())
2022-11-23T01:32:30.9791858Z del async_compile
2022-11-23T01:32:30.9791863Z 
2022-11-23T01:32:30.9791939Z def call(args):
2022-11-23T01:32:30.9792018Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9792087Z     args.clear()
2022-11-23T01:32:30.9792301Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9792479Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2022-11-23T01:32:30.9792688Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9792783Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9792921Z     triton_fused_add0.run(arg0_1, buf1, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:30.9792996Z     del arg0_1
2022-11-23T01:32:30.9793199Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9793331Z     triton_fused_add_11.run(arg1_1, buf2, 80, grid=grid(80), stream=stream0)
2022-11-23T01:32:30.9793405Z     del arg1_1
2022-11-23T01:32:30.9793611Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9793785Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2022-11-23T01:32:30.9793860Z     del buf1
2022-11-23T01:32:30.9793930Z     del buf2
2022-11-23T01:32:30.9794021Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:30.9794160Z     triton_fused_bmm_1_add_add_2_add_12.run(buf4, 160, grid=grid(160), stream=stream0)
2022-11-23T01:32:30.9794243Z     return (buf0, buf4, )
2022-11-23T01:32:30.9794248Z 
2022-11-23T01:32:30.9794253Z 
2022-11-23T01:32:30.9794335Z if __name__ == "__main__":
2022-11-23T01:32:30.9794454Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9794582Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9794790Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9794994Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9795114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9795120Z 
2022-11-23T01:32:30.9795192Z ok (0.303s)
2022-11-23T01:32:30.9795490Z   test_bmm2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9795805Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9796026Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9796281Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9796559Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9796879Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9797252Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9797596Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9797975Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391> 
2022-11-23T01:32:30.9798079Z  1392           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9798172Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:30.9798269Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9798375Z                6 LOAD_METHOD              2 (permute)
2022-11-23T01:32:30.9798470Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9836808Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:30.9836913Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:30.9837017Z               14 CALL_METHOD              3
2022-11-23T01:32:30.9837106Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9837204Z               18 CALL_METHOD              2
2022-11-23T01:32:30.9837288Z               20 RETURN_VALUE
2022-11-23T01:32:30.9837354Z  
2022-11-23T01:32:30.9837360Z 
2022-11-23T01:32:30.9837762Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1392
2022-11-23T01:32:30.9837987Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:30.9838349Z [2022-11-23 01:29:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9838668Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9839018Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9839399Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute)]
2022-11-23T01:32:30.9839806Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)]
2022-11-23T01:32:30.9840254Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9840743Z [2022-11-23 01:29:12,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:30.9841077Z [2022-11-23 01:29:12,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9841444Z [2022-11-23 01:29:12,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9841693Z [2022-11-23 01:29:12,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9842291Z [2022-11-23 01:29:12,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391>
2022-11-23T01:32:30.9842582Z [2022-11-23 01:29:12,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:30.9842818Z [2022-11-23 01:29:12,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9843078Z [2022-11-23 01:29:12,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9843336Z [2022-11-23 01:29:12,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9843532Z [2022-11-23 01:29:12,910] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9843667Z  __compiled_fn_404 <eval_with_key>.2500 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9843761Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9843852Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9843969Z call_method, permute, permute, (ex_0_, 0, 2, 1), {}
2022-11-23T01:32:30.9844211Z call_function, bmm, <built-in method bmm of type object at 0x7f209c394c60>, (permute, ex_1_), {}
2022-11-23T01:32:30.9844311Z output, output, output, ((bmm,),), {}
2022-11-23T01:32:30.9844316Z 
2022-11-23T01:32:30.9844647Z [2022-11-23 01:29:12,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9844748Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9844837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9844929Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9845027Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9845120Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9845219Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9845300Z              12 RETURN_VALUE
2022-11-23T01:32:30.9845306Z 
2022-11-23T01:32:30.9845372Z  
2022-11-23T01:32:30.9845695Z [2022-11-23 01:29:12,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9845807Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_404)
2022-11-23T01:32:30.9845907Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9846003Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9846083Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9846178Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9846270Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9846351Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9846438Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9846535Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:30.9846615Z              18 RETURN_VALUE
2022-11-23T01:32:30.9846620Z 
2022-11-23T01:32:30.9846685Z  
2022-11-23T01:32:30.9846873Z [2022-11-23 01:29:12,911] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9846951Z  - 
2022-11-23T01:32:30.9847074Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9847136Z             {
2022-11-23T01:32:30.9847281Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9847472Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9847597Z                 'obj_weakref': None
2022-11-23T01:32:30.9847823Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9847892Z             }
2022-11-23T01:32:30.9847960Z             
2022-11-23T01:32:30.9848027Z  - 
2022-11-23T01:32:30.9848155Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9848224Z             {
2022-11-23T01:32:30.9848369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9848480Z                 'code': None,
2022-11-23T01:32:30.9848729Z                 'obj_weakref': <weakref at 0x7f1fd9a5a9d0; to 'Tensor' at 0x7f20230b5fd0>
2022-11-23T01:32:30.9849019Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9849081Z             }
2022-11-23T01:32:30.9849150Z             
2022-11-23T01:32:30.9849225Z  - 
2022-11-23T01:32:30.9849352Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9849421Z             {
2022-11-23T01:32:30.9849570Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9849683Z                 'code': None,
2022-11-23T01:32:30.9849888Z                 'obj_weakref': <weakref at 0x7f1fd9a5a980; to 'Tensor' at 0x7f1ff8153510>
2022-11-23T01:32:30.9850136Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9850204Z             }
2022-11-23T01:32:30.9850272Z             
2022-11-23T01:32:30.9850347Z  - 
2022-11-23T01:32:30.9850483Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9850553Z             {
2022-11-23T01:32:30.9850685Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9850866Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9850989Z                 'obj_weakref': None
2022-11-23T01:32:30.9851222Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9851290Z             }
2022-11-23T01:32:30.9851358Z             
2022-11-23T01:32:30.9851435Z  - 
2022-11-23T01:32:30.9851555Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9851624Z             {
2022-11-23T01:32:30.9851765Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9851987Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9852111Z                 'obj_weakref': None
2022-11-23T01:32:30.9852334Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9852405Z             }
2022-11-23T01:32:30.9852468Z             
2022-11-23T01:32:30.9852545Z  - 
2022-11-23T01:32:30.9852685Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9852754Z             {
2022-11-23T01:32:30.9852880Z                 'guard_types': None,
2022-11-23T01:32:30.9852990Z                 'code': None,
2022-11-23T01:32:30.9853117Z                 'obj_weakref': None
2022-11-23T01:32:30.9853235Z                 'guarded_class': None
2022-11-23T01:32:30.9853305Z             }
2022-11-23T01:32:30.9853373Z             
2022-11-23T01:32:30.9853638Z [2022-11-23 01:29:12,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394
2022-11-23T01:32:30.9854009Z [2022-11-23 01:29:12,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxpgtjjnkjtid232skxmjczcah5o6w5p62c2owgqjowknwsrvzg.py
2022-11-23T01:32:30.9854282Z [2022-11-23 01:29:12,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394
2022-11-23T01:32:30.9854288Z 
2022-11-23T01:32:30.9854391Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9854465Z import torch
2022-11-23T01:32:30.9854531Z import random
2022-11-23T01:32:30.9854654Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9854780Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9854786Z 
2022-11-23T01:32:30.9854870Z aten = torch.ops.aten
2022-11-23T01:32:30.9855011Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9855109Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9855115Z 
2022-11-23T01:32:30.9855189Z import triton
2022-11-23T01:32:30.9855275Z import triton.language as tl
2022-11-23T01:32:30.9855403Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9855548Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9855554Z 
2022-11-23T01:32:30.9855559Z 
2022-11-23T01:32:30.9855651Z async_compile.wait(globals())
2022-11-23T01:32:30.9855760Z del async_compile
2022-11-23T01:32:30.9855786Z 
2022-11-23T01:32:30.9855866Z def call(args):
2022-11-23T01:32:30.9855947Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9856024Z     args.clear()
2022-11-23T01:32:30.9856228Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9856400Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2022-11-23T01:32:30.9856474Z     del arg0_1
2022-11-23T01:32:30.9856548Z     del arg1_1
2022-11-23T01:32:30.9856623Z     return (buf0, )
2022-11-23T01:32:30.9856629Z 
2022-11-23T01:32:30.9856633Z 
2022-11-23T01:32:30.9856714Z if __name__ == "__main__":
2022-11-23T01:32:30.9856834Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9856963Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9857169Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9857377Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:30.9857500Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9857506Z 
2022-11-23T01:32:30.9857577Z ok (0.020s)
2022-11-23T01:32:30.9857879Z   test_bool_cuda (__main__.CudaTests) ... [2022-11-23 01:29:12,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9858197Z [2022-11-23 01:29:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9858418Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9858674Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9859175Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9859493Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9859848Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9860178Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9860556Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621> 
2022-11-23T01:32:30.9860655Z  623           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9860752Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9860829Z               4 BINARY_ADD
2022-11-23T01:32:30.9860835Z 
2022-11-23T01:32:30.9860933Z 624           6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9861031Z               8 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9861110Z              10 BINARY_MULTIPLY
2022-11-23T01:32:30.9861115Z 
2022-11-23T01:32:30.9861209Z 625          12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9861303Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9861380Z              16 BINARY_AND
2022-11-23T01:32:30.9861385Z 
2022-11-23T01:32:30.9861476Z 626          18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9861569Z              20 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9861646Z              22 BINARY_OR
2022-11-23T01:32:30.9861651Z 
2022-11-23T01:32:30.9861741Z 627          24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9861827Z              26 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9861903Z              28 BINARY_XOR
2022-11-23T01:32:30.9861907Z 
2022-11-23T01:32:30.9862055Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9862167Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T01:32:30.9862290Z              34 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9862383Z              36 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9862479Z              38 CALL_METHOD              2
2022-11-23T01:32:30.9862485Z 
2022-11-23T01:32:30.9862589Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9862689Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T01:32:30.9862785Z              44 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9862877Z              46 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9862972Z              48 CALL_METHOD              2
2022-11-23T01:32:30.9862977Z 
2022-11-23T01:32:30.9863080Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9863189Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:30.9863283Z              54 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9863371Z              56 CALL_METHOD              1
2022-11-23T01:32:30.9863379Z 
2022-11-23T01:32:30.9863476Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9863576Z              60 LOAD_METHOD              4 (sign)
2022-11-23T01:32:30.9863669Z              62 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9863760Z              64 CALL_METHOD              1
2022-11-23T01:32:30.9863765Z 
2022-11-23T01:32:30.9863858Z 622          66 BUILD_TUPLE              9
2022-11-23T01:32:30.9863939Z              68 RETURN_VALUE
2022-11-23T01:32:30.9864003Z  
2022-11-23T01:32:30.9864009Z 
2022-11-23T01:32:30.9864320Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623
2022-11-23T01:32:30.9864536Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.9864779Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.9865056Z [2022-11-23 01:29:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9865373Z [2022-11-23 01:29:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624
2022-11-23T01:32:30.9865612Z [2022-11-23 01:29:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.9865882Z [2022-11-23 01:29:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9866195Z [2022-11-23 01:29:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9866512Z [2022-11-23 01:29:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625
2022-11-23T01:32:30.9866777Z [2022-11-23 01:29:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9867068Z [2022-11-23 01:29:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9867394Z [2022-11-23 01:29:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9867707Z [2022-11-23 01:29:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626
2022-11-23T01:32:30.9868001Z [2022-11-23 01:29:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9868319Z [2022-11-23 01:29:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9868697Z [2022-11-23 01:29:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9869030Z [2022-11-23 01:29:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627
2022-11-23T01:32:30.9869348Z [2022-11-23 01:29:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9869693Z [2022-11-23 01:29:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9870080Z [2022-11-23 01:29:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9870484Z [2022-11-23 01:29:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628
2022-11-23T01:32:30.9870847Z [2022-11-23 01:29:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9871354Z [2022-11-23 01:29:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9871822Z [2022-11-23 01:29:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9872319Z [2022-11-23 01:29:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9872847Z [2022-11-23 01:29:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9873159Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629
2022-11-23T01:32:30.9873543Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9874088Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9874585Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9875101Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9875705Z [2022-11-23 01:29:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9876044Z [2022-11-23 01:29:12,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630
2022-11-23T01:32:30.9876455Z [2022-11-23 01:29:12,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9877005Z [2022-11-23 01:29:12,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9877515Z [2022-11-23 01:29:12,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9878061Z [2022-11-23 01:29:12,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9878370Z [2022-11-23 01:29:12,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631
2022-11-23T01:32:30.9878810Z [2022-11-23 01:29:12,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9879381Z [2022-11-23 01:29:12,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9879900Z [2022-11-23 01:29:12,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9880454Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9880764Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622
2022-11-23T01:32:30.9881214Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9881463Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9881831Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621>
2022-11-23T01:32:30.9882070Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9882333Z [2022-11-23 01:29:12,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9882610Z [2022-11-23 01:29:12,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9882865Z [2022-11-23 01:29:12,941] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9883059Z [2022-11-23 01:29:12,941] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9883205Z  __compiled_fn_405 <eval_with_key>.2506 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9883300Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9883392Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9883566Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9883744Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9883925Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9884106Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9884283Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9884541Z call_function, logical_and, <built-in method logical_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9884796Z call_function, logical_or, <built-in method logical_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9885043Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9885259Z call_function, sign, <built-in method sign of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:30.9885429Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T01:32:30.9885435Z 
2022-11-23T01:32:30.9885764Z [2022-11-23 01:29:12,941] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9885867Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9885966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9886058Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9886161Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9886253Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9886347Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9886422Z              12 RETURN_VALUE
2022-11-23T01:32:30.9886427Z 
2022-11-23T01:32:30.9886493Z  
2022-11-23T01:32:30.9886821Z [2022-11-23 01:29:12,942] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9886938Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_405)
2022-11-23T01:32:30.9887034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9887134Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9887218Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9887307Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9887401Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9887482Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9887577Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9887690Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9887798Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9887893Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9887967Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9888077Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9888173Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9888255Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9888361Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9888490Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9888593Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9888704Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9888791Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9888872Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9888979Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9889073Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:30.9889154Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.9889259Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9889354Z              50 LOAD_CONST               6 (5)
2022-11-23T01:32:30.9889429Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.9889536Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9889630Z              56 LOAD_CONST               7 (6)
2022-11-23T01:32:30.9889710Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.9889821Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9889917Z              62 LOAD_CONST               8 (7)
2022-11-23T01:32:30.9890001Z              64 BINARY_SUBSCR
2022-11-23T01:32:30.9890101Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9890194Z              68 LOAD_CONST               9 (8)
2022-11-23T01:32:30.9890275Z              70 BINARY_SUBSCR
2022-11-23T01:32:30.9890371Z              72 BUILD_TUPLE              9
2022-11-23T01:32:30.9890451Z              74 RETURN_VALUE
2022-11-23T01:32:30.9890456Z 
2022-11-23T01:32:30.9890522Z  
2022-11-23T01:32:30.9890714Z [2022-11-23 01:29:12,942] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9890782Z  - 
2022-11-23T01:32:30.9890909Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9890979Z             {
2022-11-23T01:32:30.9891125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9891317Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9891443Z                 'obj_weakref': None
2022-11-23T01:32:30.9891671Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9891733Z             }
2022-11-23T01:32:30.9891803Z             
2022-11-23T01:32:30.9891879Z  - 
2022-11-23T01:32:30.9892009Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9892078Z             {
2022-11-23T01:32:30.9892226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9892338Z                 'code': None,
2022-11-23T01:32:30.9892543Z                 'obj_weakref': <weakref at 0x7f201e20da80; to 'Tensor' at 0x7f1fd9be09a0>
2022-11-23T01:32:30.9892798Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9892868Z             }
2022-11-23T01:32:30.9892936Z             
2022-11-23T01:32:30.9893012Z  - 
2022-11-23T01:32:30.9893141Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9893212Z             {
2022-11-23T01:32:30.9893355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9893468Z                 'code': None,
2022-11-23T01:32:30.9893686Z                 'obj_weakref': <weakref at 0x7f201e20d8a0; to 'Tensor' at 0x7f1fd9be1300>
2022-11-23T01:32:30.9893938Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9894007Z             }
2022-11-23T01:32:30.9894074Z             
2022-11-23T01:32:30.9894149Z  - 
2022-11-23T01:32:30.9894277Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9894346Z             {
2022-11-23T01:32:30.9894489Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9894666Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9894790Z                 'obj_weakref': None
2022-11-23T01:32:30.9895026Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9895130Z             }
2022-11-23T01:32:30.9895222Z             
2022-11-23T01:32:30.9895298Z  - 
2022-11-23T01:32:30.9895427Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9895496Z             {
2022-11-23T01:32:30.9895639Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9895865Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9895990Z                 'obj_weakref': None
2022-11-23T01:32:30.9896209Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9896279Z             }
2022-11-23T01:32:30.9896347Z             
2022-11-23T01:32:30.9896427Z  - 
2022-11-23T01:32:30.9896566Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9896635Z             {
2022-11-23T01:32:30.9896762Z                 'guard_types': None,
2022-11-23T01:32:30.9896867Z                 'code': None,
2022-11-23T01:32:30.9896992Z                 'obj_weakref': None
2022-11-23T01:32:30.9897119Z                 'guarded_class': None
2022-11-23T01:32:30.9897189Z             }
2022-11-23T01:32:30.9897257Z             
2022-11-23T01:32:30.9897518Z [2022-11-23 01:29:12,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395
2022-11-23T01:32:30.9898098Z [2022-11-23 01:29:12,975] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:30.9898473Z [2022-11-23 01:29:13,184] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y5/cy5mdklgqy5lhwwwatgpv6u7wm6kgjskejaxnbewzgm5ruyro76i.py
2022-11-23T01:32:30.9898735Z [2022-11-23 01:29:13,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395
2022-11-23T01:32:30.9899178Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9899500Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9899722Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9899979Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9900265Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9900589Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9900941Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9901268Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9901644Z [2022-11-23 01:29:13,189] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621> 
2022-11-23T01:32:30.9901745Z  623           0 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9901836Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9901916Z               4 BINARY_ADD
2022-11-23T01:32:30.9901922Z 
2022-11-23T01:32:30.9902017Z 624           6 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9902114Z               8 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9902199Z              10 BINARY_MULTIPLY
2022-11-23T01:32:30.9902204Z 
2022-11-23T01:32:30.9902299Z 625          12 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9902439Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9902536Z              16 BINARY_AND
2022-11-23T01:32:30.9902548Z 
2022-11-23T01:32:30.9902633Z 626          18 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9902726Z              20 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9902803Z              22 BINARY_OR
2022-11-23T01:32:30.9902808Z 
2022-11-23T01:32:30.9902904Z 627          24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9902997Z              26 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9903077Z              28 BINARY_XOR
2022-11-23T01:32:30.9903082Z 
2022-11-23T01:32:30.9903186Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9903289Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T01:32:30.9903384Z              34 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9903475Z              36 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9903570Z              38 CALL_METHOD              2
2022-11-23T01:32:30.9903578Z 
2022-11-23T01:32:30.9903680Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9903788Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T01:32:30.9903883Z              44 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9903976Z              46 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9904061Z              48 CALL_METHOD              2
2022-11-23T01:32:30.9904066Z 
2022-11-23T01:32:30.9904164Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9904273Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:30.9904365Z              54 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9904457Z              56 CALL_METHOD              1
2022-11-23T01:32:30.9904462Z 
2022-11-23T01:32:30.9904565Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:30.9904664Z              60 LOAD_METHOD              4 (sign)
2022-11-23T01:32:30.9904759Z              62 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9904843Z              64 CALL_METHOD              1
2022-11-23T01:32:30.9904852Z 
2022-11-23T01:32:30.9904944Z 622          66 BUILD_TUPLE              9
2022-11-23T01:32:30.9905026Z              68 RETURN_VALUE
2022-11-23T01:32:30.9905091Z  
2022-11-23T01:32:30.9905096Z 
2022-11-23T01:32:30.9905413Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623
2022-11-23T01:32:30.9905629Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:30.9905874Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:30.9906151Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9906463Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624
2022-11-23T01:32:30.9906708Z [2022-11-23 01:29:13,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:30.9906978Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9907294Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9907610Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625
2022-11-23T01:32:30.9907878Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9908173Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9908533Z [2022-11-23 01:29:13,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9908870Z [2022-11-23 01:29:13,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626
2022-11-23T01:32:30.9909163Z [2022-11-23 01:29:13,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9909487Z [2022-11-23 01:29:13,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9909831Z [2022-11-23 01:29:13,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9910145Z [2022-11-23 01:29:13,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627
2022-11-23T01:32:30.9910555Z [2022-11-23 01:29:13,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9910907Z [2022-11-23 01:29:13,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9911291Z [2022-11-23 01:29:13,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9911609Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628
2022-11-23T01:32:30.9911969Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9912491Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9912958Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9913448Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9913973Z [2022-11-23 01:29:13,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9914289Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629
2022-11-23T01:32:30.9914672Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9915209Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9915750Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9916283Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9916829Z [2022-11-23 01:29:13,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9917149Z [2022-11-23 01:29:13,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630
2022-11-23T01:32:30.9917554Z [2022-11-23 01:29:13,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9918120Z [2022-11-23 01:29:13,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9918635Z [2022-11-23 01:29:13,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9919184Z [2022-11-23 01:29:13,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9919499Z [2022-11-23 01:29:13,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631
2022-11-23T01:32:30.9919936Z [2022-11-23 01:29:13,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9920518Z [2022-11-23 01:29:13,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:30.9921050Z [2022-11-23 01:29:13,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>)]
2022-11-23T01:32:30.9921615Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:30.9921936Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622
2022-11-23T01:32:30.9922416Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9922692Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9923073Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621>
2022-11-23T01:32:30.9923325Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9923565Z [2022-11-23 01:29:13,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9923827Z [2022-11-23 01:29:13,200] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9924085Z [2022-11-23 01:29:13,206] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9924277Z [2022-11-23 01:29:13,206] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9924425Z  __compiled_fn_406 <eval_with_key>.2512 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9924521Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:30.9924615Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:30.9924800Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9924981Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9925164Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9925342Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9925513Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9925775Z call_function, logical_and, <built-in method logical_and of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9926035Z call_function, logical_or, <built-in method logical_or of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:30.9926292Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:30.9926521Z call_function, sign, <built-in method sign of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:30.9926693Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T01:32:30.9926699Z 
2022-11-23T01:32:30.9927030Z [2022-11-23 01:29:13,206] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9927131Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9927228Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9927314Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9927420Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9927515Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9927612Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9927694Z              12 RETURN_VALUE
2022-11-23T01:32:30.9927699Z 
2022-11-23T01:32:30.9927763Z  
2022-11-23T01:32:30.9928086Z [2022-11-23 01:29:13,206] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9928196Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_406)
2022-11-23T01:32:30.9928296Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9928395Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9928481Z               6 BINARY_SUBSCR
2022-11-23T01:32:30.9928576Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9928670Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9928750Z              12 BINARY_SUBSCR
2022-11-23T01:32:30.9928863Z              14 CALL_FUNCTION            2
2022-11-23T01:32:30.9928997Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9929107Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9929204Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9929286Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9929394Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9929489Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9929570Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9929669Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9929764Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9929844Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9929952Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9930045Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9930126Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9930238Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9930327Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:30.9930407Z              46 BINARY_SUBSCR
2022-11-23T01:32:30.9930515Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9930608Z              50 LOAD_CONST               6 (5)
2022-11-23T01:32:30.9930690Z              52 BINARY_SUBSCR
2022-11-23T01:32:30.9930800Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9930893Z              56 LOAD_CONST               7 (6)
2022-11-23T01:32:30.9930967Z              58 BINARY_SUBSCR
2022-11-23T01:32:30.9931075Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9931170Z              62 LOAD_CONST               8 (7)
2022-11-23T01:32:30.9931252Z              64 BINARY_SUBSCR
2022-11-23T01:32:30.9931360Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9931457Z              68 LOAD_CONST               9 (8)
2022-11-23T01:32:30.9931539Z              70 BINARY_SUBSCR
2022-11-23T01:32:30.9931630Z              72 BUILD_TUPLE              9
2022-11-23T01:32:30.9931712Z              74 RETURN_VALUE
2022-11-23T01:32:30.9931717Z 
2022-11-23T01:32:30.9931781Z  
2022-11-23T01:32:30.9931978Z [2022-11-23 01:29:13,207] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9932055Z  - 
2022-11-23T01:32:30.9932183Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9932260Z             {
2022-11-23T01:32:30.9932419Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9932635Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9932761Z                 'obj_weakref': None
2022-11-23T01:32:30.9932991Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9933062Z             }
2022-11-23T01:32:30.9933130Z             
2022-11-23T01:32:30.9933205Z  - 
2022-11-23T01:32:30.9933330Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:30.9933403Z             {
2022-11-23T01:32:30.9933552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9933663Z                 'code': None,
2022-11-23T01:32:30.9933881Z                 'obj_weakref': <weakref at 0x7f201e20da80; to 'Tensor' at 0x7f1fd9be09a0>
2022-11-23T01:32:30.9934138Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9934208Z             }
2022-11-23T01:32:30.9934269Z             
2022-11-23T01:32:30.9934344Z  - 
2022-11-23T01:32:30.9934474Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:30.9934544Z             {
2022-11-23T01:32:30.9934695Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:30.9934808Z                 'code': None,
2022-11-23T01:32:30.9935022Z                 'obj_weakref': <weakref at 0x7f201e20d8a0; to 'Tensor' at 0x7f1fd9be1300>
2022-11-23T01:32:30.9935304Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:30.9935395Z             }
2022-11-23T01:32:30.9935463Z             
2022-11-23T01:32:30.9935542Z  - 
2022-11-23T01:32:30.9935679Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9935746Z             {
2022-11-23T01:32:30.9935888Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9936056Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9936179Z                 'obj_weakref': None
2022-11-23T01:32:30.9936413Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9936482Z             }
2022-11-23T01:32:30.9936549Z             
2022-11-23T01:32:30.9936624Z  - 
2022-11-23T01:32:30.9936749Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9936810Z             {
2022-11-23T01:32:30.9936953Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:30.9937176Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:30.9937303Z                 'obj_weakref': None
2022-11-23T01:32:30.9937534Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:30.9937603Z             }
2022-11-23T01:32:30.9937672Z             
2022-11-23T01:32:30.9937739Z  - 
2022-11-23T01:32:30.9937877Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:30.9937946Z             {
2022-11-23T01:32:30.9938072Z                 'guard_types': None,
2022-11-23T01:32:30.9938185Z                 'code': None,
2022-11-23T01:32:30.9938308Z                 'obj_weakref': None
2022-11-23T01:32:30.9938438Z                 'guarded_class': None
2022-11-23T01:32:30.9938499Z             }
2022-11-23T01:32:30.9938569Z             
2022-11-23T01:32:30.9939031Z [2022-11-23 01:29:13,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396
2022-11-23T01:32:30.9939607Z [2022-11-23 01:29:13,240] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:30.9939983Z [2022-11-23 01:29:13,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4n/c4nadrqoec6llkcfxtydh66u7docf3cxqvjyfp4bzbkuxnqpdyci.py
2022-11-23T01:32:30.9940253Z [2022-11-23 01:29:13,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396
2022-11-23T01:32:30.9940259Z 
2022-11-23T01:32:30.9940362Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9940436Z import torch
2022-11-23T01:32:30.9940511Z import random
2022-11-23T01:32:30.9940627Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9940754Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9940763Z 
2022-11-23T01:32:30.9940852Z aten = torch.ops.aten
2022-11-23T01:32:30.9940995Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9941094Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9941099Z 
2022-11-23T01:32:30.9941172Z import triton
2022-11-23T01:32:30.9941265Z import triton.language as tl
2022-11-23T01:32:30.9941386Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9941530Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9941536Z 
2022-11-23T01:32:30.9941541Z 
2022-11-23T01:32:30.9941830Z triton_fused_logical_not_add_bitwise_or_logical_and_bitwise_and_mul_logical_or_bitwise_xor_sign0 = async_compile.triton('''
2022-11-23T01:32:30.9941907Z import triton
2022-11-23T01:32:30.9942001Z import triton.language as tl
2022-11-23T01:32:30.9942115Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9942221Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9942412Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9942574Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9942585Z 
2022-11-23T01:32:30.9943059Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i1', 1: '*i1', 2: '*i1', 3: '*i1', 4: '*i1', 5: '*i1', 6: '*i1', 7: '*i1', 8: '*i1', 9: '*i1', 10: '*i1', 11: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10), equal_to_1=())]})
2022-11-23T01:32:30.9943137Z @triton.jit
2022-11-23T01:32:30.9943354Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9943429Z     xnumel = 4
2022-11-23T01:32:30.9943531Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9943665Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9943751Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9943825Z     x0 = xindex
2022-11-23T01:32:30.9943919Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9944017Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9944098Z     tmp2 = tmp0 | tmp1
2022-11-23T01:32:30.9944178Z     tmp3 = tmp0 & tmp1
2022-11-23T01:32:30.9944255Z     tmp4 = tmp0 ^ tmp1
2022-11-23T01:32:30.9944332Z     tmp5 = tmp0 == 0
2022-11-23T01:32:30.9944473Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9944604Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9944740Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9944874Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9945004Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9945132Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9945264Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9945397Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9945528Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9945608Z ''')
2022-11-23T01:32:30.9945613Z 
2022-11-23T01:32:30.9945618Z 
2022-11-23T01:32:30.9945712Z async_compile.wait(globals())
2022-11-23T01:32:30.9945791Z del async_compile
2022-11-23T01:32:30.9945796Z 
2022-11-23T01:32:30.9945872Z def call(args):
2022-11-23T01:32:30.9945954Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9946028Z     args.clear()
2022-11-23T01:32:30.9946221Z     buf0 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9946405Z     buf1 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9946594Z     buf2 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9946787Z     buf3 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9946974Z     buf4 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9947158Z     buf5 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9947340Z     buf6 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9947525Z     buf7 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9947707Z     buf8 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9947792Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9948053Z     triton_fused_logical_not_add_bitwise_or_logical_and_bitwise_and_mul_logical_or_bitwise_xor_sign0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:30.9948127Z     del arg0_1
2022-11-23T01:32:30.9948201Z     del arg1_1
2022-11-23T01:32:30.9948327Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T01:32:30.9948377Z 
2022-11-23T01:32:30.9948402Z 
2022-11-23T01:32:30.9948485Z if __name__ == "__main__":
2022-11-23T01:32:30.9948607Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9948736Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9948920Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9949111Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9949234Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9949240Z 
2022-11-23T01:32:30.9949244Z 
2022-11-23T01:32:30.9949343Z from ctypes import c_void_p, c_long
2022-11-23T01:32:30.9949418Z import torch
2022-11-23T01:32:30.9949494Z import random
2022-11-23T01:32:30.9949615Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:30.9949740Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:30.9949745Z 
2022-11-23T01:32:30.9949821Z aten = torch.ops.aten
2022-11-23T01:32:30.9949966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:30.9950069Z async_compile = AsyncCompile()
2022-11-23T01:32:30.9950074Z 
2022-11-23T01:32:30.9950147Z import triton
2022-11-23T01:32:30.9950240Z import triton.language as tl
2022-11-23T01:32:30.9950458Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:30.9950611Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:30.9950617Z 
2022-11-23T01:32:30.9950621Z 
2022-11-23T01:32:30.9950912Z triton_fused_logical_and_bitwise_or_bitwise_xor_sign_logical_or_logical_not_bitwise_and_add_mul0 = async_compile.triton('''
2022-11-23T01:32:30.9950980Z import triton
2022-11-23T01:32:30.9951075Z import triton.language as tl
2022-11-23T01:32:30.9951196Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:30.9951297Z from torch._inductor.ir import TileHint
2022-11-23T01:32:30.9951434Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:30.9951562Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:30.9951570Z 
2022-11-23T01:32:30.9952038Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i1', 1: '*i1', 2: '*i1', 3: '*i1', 4: '*i1', 5: '*i1', 6: '*i1', 7: '*i1', 8: '*i1', 9: '*i1', 10: '*i1', 11: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10), equal_to_1=())]})
2022-11-23T01:32:30.9952112Z @triton.jit
2022-11-23T01:32:30.9952325Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:30.9952391Z     xnumel = 4
2022-11-23T01:32:30.9952492Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:30.9952627Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:30.9952712Z     xmask = xindex < xnumel
2022-11-23T01:32:30.9952783Z     x0 = xindex
2022-11-23T01:32:30.9952883Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:30.9952985Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:30.9953060Z     tmp2 = tmp0 | tmp1
2022-11-23T01:32:30.9953139Z     tmp3 = tmp0 & tmp1
2022-11-23T01:32:30.9953219Z     tmp4 = tmp0 ^ tmp1
2022-11-23T01:32:30.9953296Z     tmp5 = tmp0 == 0
2022-11-23T01:32:30.9953435Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9953569Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9953701Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9953826Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9953958Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:30.9954087Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:30.9954217Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:30.9954379Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:30.9954530Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:30.9954619Z ''')
2022-11-23T01:32:30.9954624Z 
2022-11-23T01:32:30.9954628Z 
2022-11-23T01:32:30.9954726Z async_compile.wait(globals())
2022-11-23T01:32:30.9954796Z del async_compile
2022-11-23T01:32:30.9954809Z 
2022-11-23T01:32:30.9954877Z def call(args):
2022-11-23T01:32:30.9954958Z     arg0_1, arg1_1 = args
2022-11-23T01:32:30.9955036Z     args.clear()
2022-11-23T01:32:30.9955224Z     buf0 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9955410Z     buf1 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9955596Z     buf2 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9955785Z     buf3 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9955964Z     buf4 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9956154Z     buf5 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9956339Z     buf6 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9956523Z     buf7 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9956707Z     buf8 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9956802Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:30.9957064Z     triton_fused_logical_and_bitwise_or_bitwise_xor_sign_logical_or_logical_not_bitwise_and_add_mul0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:30.9957139Z     del arg0_1
2022-11-23T01:32:30.9957204Z     del arg1_1
2022-11-23T01:32:30.9957329Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T01:32:30.9957334Z 
2022-11-23T01:32:30.9957339Z 
2022-11-23T01:32:30.9957426Z if __name__ == "__main__":
2022-11-23T01:32:30.9957551Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:30.9957687Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:30.9957879Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9958069Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:30.9958192Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:30.9958197Z 
2022-11-23T01:32:30.9958262Z ok (0.333s)
2022-11-23T01:32:30.9958583Z   test_both_scalars_cuda (__main__.CudaTests) ... [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:30.9958908Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:30.9959137Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:30.9959398Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:30.9959682Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:30.9960008Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9960359Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9960687Z [2022-11-23 01:29:13,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:30.9961095Z [2022-11-23 01:29:13,257] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211> 
2022-11-23T01:32:30.9961212Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9961314Z                2 LOAD_METHOD              1 (add)
2022-11-23T01:32:30.9961415Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9961515Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9961609Z                8 CALL_METHOD              2
2022-11-23T01:32:30.9961615Z 
2022-11-23T01:32:30.9961717Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9961813Z               12 LOAD_METHOD              1 (add)
2022-11-23T01:32:30.9961910Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9961998Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9962092Z               18 CALL_METHOD              2
2022-11-23T01:32:30.9962097Z 
2022-11-23T01:32:30.9962198Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9962300Z               22 LOAD_METHOD              2 (sub)
2022-11-23T01:32:30.9962397Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9962491Z               26 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9962587Z               28 CALL_METHOD              2
2022-11-23T01:32:30.9962592Z 
2022-11-23T01:32:30.9962683Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9962780Z               32 LOAD_METHOD              2 (sub)
2022-11-23T01:32:30.9973577Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9973705Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9973804Z               38 CALL_METHOD              2
2022-11-23T01:32:30.9973810Z 
2022-11-23T01:32:30.9973912Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9974014Z               42 LOAD_METHOD              3 (mul)
2022-11-23T01:32:30.9974115Z               44 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9974204Z               46 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9974305Z               48 CALL_METHOD              2
2022-11-23T01:32:30.9974314Z 
2022-11-23T01:32:30.9974413Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:30.9974513Z               52 LOAD_METHOD              3 (mul)
2022-11-23T01:32:30.9974611Z               54 LOAD_FAST                1 (b)
2022-11-23T01:32:30.9974709Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:30.9974804Z               58 CALL_METHOD              2
2022-11-23T01:32:30.9974810Z 
2022-11-23T01:32:30.9974907Z 1212          60 BUILD_TUPLE              6
2022-11-23T01:32:30.9974984Z               62 RETURN_VALUE
2022-11-23T01:32:30.9975054Z  
2022-11-23T01:32:30.9975059Z 
2022-11-23T01:32:30.9975412Z [2022-11-23 01:29:13,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213
2022-11-23T01:32:30.9975637Z [2022-11-23 01:29:13,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:30.9975947Z [2022-11-23 01:29:13,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9976208Z [2022-11-23 01:29:13,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T01:32:30.9976494Z [2022-11-23 01:29:13,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T01:32:30.9976822Z [2022-11-23 01:29:13,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:30.9977136Z [2022-11-23 01:29:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214
2022-11-23T01:32:30.9977376Z [2022-11-23 01:29:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:30.9977775Z [2022-11-23 01:29:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9978074Z [2022-11-23 01:29:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T01:32:30.9978391Z [2022-11-23 01:29:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T01:32:30.9978745Z [2022-11-23 01:29:13,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:30.9979281Z [2022-11-23 01:29:13,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215
2022-11-23T01:32:30.9979559Z [2022-11-23 01:29:13,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9979916Z [2022-11-23 01:29:13,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9980221Z [2022-11-23 01:29:13,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:30.9980562Z [2022-11-23 01:29:13,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T01:32:30.9980938Z [2022-11-23 01:29:13,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:30.9981252Z [2022-11-23 01:29:13,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216
2022-11-23T01:32:30.9981552Z [2022-11-23 01:29:13,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9981941Z [2022-11-23 01:29:13,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9982271Z [2022-11-23 01:29:13,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:30.9982634Z [2022-11-23 01:29:13,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T01:32:30.9983044Z [2022-11-23 01:29:13,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:30.9983356Z [2022-11-23 01:29:13,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217
2022-11-23T01:32:30.9983679Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9984084Z [2022-11-23 01:29:13,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9984435Z [2022-11-23 01:29:13,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:30.9984879Z [2022-11-23 01:29:13,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T01:32:30.9985338Z [2022-11-23 01:29:13,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:30.9985647Z [2022-11-23 01:29:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218
2022-11-23T01:32:30.9985998Z [2022-11-23 01:29:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9986433Z [2022-11-23 01:29:13,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:30.9986806Z [2022-11-23 01:29:13,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:30.9987222Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T01:32:30.9987678Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:30.9987991Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212
2022-11-23T01:32:30.9988365Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:30.9988613Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9988986Z [2022-11-23 01:29:13,296] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211>
2022-11-23T01:32:30.9989234Z [2022-11-23 01:29:13,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:30.9989472Z [2022-11-23 01:29:13,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:30.9989729Z [2022-11-23 01:29:13,298] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:30.9989981Z [2022-11-23 01:29:13,302] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:30.9990178Z [2022-11-23 01:29:13,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:30.9990401Z  __compiled_fn_407 <eval_with_key>.2518 opcode, name, target, args, kwargs
2022-11-23T01:32:30.9990524Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T01:32:30.9990648Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T01:32:30.9990759Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T01:32:30.9990864Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T01:32:30.9990968Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T01:32:30.9991074Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T01:32:30.9991204Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T01:32:30.9991210Z 
2022-11-23T01:32:30.9991539Z [2022-11-23 01:29:13,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9991643Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:30.9991786Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:30.9991903Z               4 BUILD_MAP                0
2022-11-23T01:32:30.9992009Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:30.9992101Z               8 DICT_MERGE               1
2022-11-23T01:32:30.9992223Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:30.9992301Z              12 RETURN_VALUE
2022-11-23T01:32:30.9992308Z 
2022-11-23T01:32:30.9992391Z  
2022-11-23T01:32:30.9992716Z [2022-11-23 01:29:13,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:30.9992837Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_407)
2022-11-23T01:32:30.9992933Z               2 CALL_FUNCTION            0
2022-11-23T01:32:30.9993048Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:30.9993158Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9993258Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:30.9993337Z              10 BINARY_SUBSCR
2022-11-23T01:32:30.9993447Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9993545Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:30.9993627Z              16 BINARY_SUBSCR
2022-11-23T01:32:30.9993735Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9993832Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:30.9993916Z              22 BINARY_SUBSCR
2022-11-23T01:32:30.9994018Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9994115Z              26 LOAD_CONST               4 (3)
2022-11-23T01:32:30.9994197Z              28 BINARY_SUBSCR
2022-11-23T01:32:30.9994312Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9994410Z              32 LOAD_CONST               5 (4)
2022-11-23T01:32:30.9994495Z              34 BINARY_SUBSCR
2022-11-23T01:32:30.9994606Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:30.9994697Z              38 LOAD_CONST               6 (5)
2022-11-23T01:32:30.9994780Z              40 BINARY_SUBSCR
2022-11-23T01:32:30.9994876Z              42 BUILD_TUPLE              6
2022-11-23T01:32:30.9994964Z              44 RETURN_VALUE
2022-11-23T01:32:30.9994969Z 
2022-11-23T01:32:30.9995037Z  
2022-11-23T01:32:30.9995227Z [2022-11-23 01:29:13,304] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:30.9995305Z  - 
2022-11-23T01:32:30.9995424Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:30.9995494Z             {
2022-11-23T01:32:30.9995644Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:30.9995838Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:30.9995965Z                 'obj_weakref': None
2022-11-23T01:32:30.9996194Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:30.9996267Z             }
2022-11-23T01:32:30.9996333Z             
2022-11-23T01:32:30.9996410Z  - 
2022-11-23T01:32:30.9996546Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:30.9996616Z             {
2022-11-23T01:32:30.9996765Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.9996958Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 4'],
2022-11-23T01:32:30.9997084Z                 'obj_weakref': None
2022-11-23T01:32:30.9997299Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:30.9997374Z             }
2022-11-23T01:32:30.9997445Z             
2022-11-23T01:32:30.9997522Z  - 
2022-11-23T01:32:30.9997658Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:30.9997727Z             {
2022-11-23T01:32:30.9997878Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:30.9998094Z                 'code': ['___check_type_id(ex[1], 94768292484128)', 'ex[1] == 3.3'],
2022-11-23T01:32:30.9998220Z                 'obj_weakref': None
2022-11-23T01:32:30.9998476Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:30.9998547Z             }
2022-11-23T01:32:30.9998617Z             
2022-11-23T01:32:30.9998695Z  - 
2022-11-23T01:32:30.9998831Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:30.9998893Z             {
2022-11-23T01:32:30.9999033Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:30.9999210Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:30.9999337Z                 'obj_weakref': None
2022-11-23T01:32:30.9999568Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:30.9999639Z             }
2022-11-23T01:32:30.9999707Z             
2022-11-23T01:32:30.9999776Z  - 
2022-11-23T01:32:30.9999903Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:30.9999977Z             {
2022-11-23T01:32:31.0000119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0000344Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0000469Z                 'obj_weakref': None
2022-11-23T01:32:31.0000691Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0000753Z             }
2022-11-23T01:32:31.0000822Z             
2022-11-23T01:32:31.0000901Z  - 
2022-11-23T01:32:31.0001039Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0001110Z             {
2022-11-23T01:32:31.0001236Z                 'guard_types': None,
2022-11-23T01:32:31.0001349Z                 'code': None,
2022-11-23T01:32:31.0001463Z                 'obj_weakref': None
2022-11-23T01:32:31.0001591Z                 'guarded_class': None
2022-11-23T01:32:31.0001661Z             }
2022-11-23T01:32:31.0001730Z             
2022-11-23T01:32:31.0001996Z [2022-11-23 01:29:13,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397
2022-11-23T01:32:31.0002362Z [2022-11-23 01:29:13,324] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfk6kx5j37bycitlq2qdufzg7psz7jwso5r3dwk76xckoirwedlw.py
2022-11-23T01:32:31.0002634Z [2022-11-23 01:29:13,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397
2022-11-23T01:32:31.0002876Z [2022-11-23 01:29:13,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0003185Z [2022-11-23 01:29:13,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0003412Z [2022-11-23 01:29:13,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0003667Z [2022-11-23 01:29:13,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0003950Z [2022-11-23 01:29:13,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0004273Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0004617Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0004942Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0005312Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211> 
2022-11-23T01:32:31.0005416Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0005552Z                2 LOAD_METHOD              1 (add)
2022-11-23T01:32:31.0005667Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0005766Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0005864Z                8 CALL_METHOD              2
2022-11-23T01:32:31.0005870Z 
2022-11-23T01:32:31.0005971Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0006071Z               12 LOAD_METHOD              1 (add)
2022-11-23T01:32:31.0006169Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0006266Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0006355Z               18 CALL_METHOD              2
2022-11-23T01:32:31.0006368Z 
2022-11-23T01:32:31.0006462Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0006561Z               22 LOAD_METHOD              2 (sub)
2022-11-23T01:32:31.0006657Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0006756Z               26 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0006851Z               28 CALL_METHOD              2
2022-11-23T01:32:31.0006859Z 
2022-11-23T01:32:31.0006958Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0007058Z               32 LOAD_METHOD              2 (sub)
2022-11-23T01:32:31.0007147Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0007242Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0007343Z               38 CALL_METHOD              2
2022-11-23T01:32:31.0007348Z 
2022-11-23T01:32:31.0007449Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0007547Z               42 LOAD_METHOD              3 (mul)
2022-11-23T01:32:31.0007640Z               44 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0007734Z               46 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0007821Z               48 CALL_METHOD              2
2022-11-23T01:32:31.0007836Z 
2022-11-23T01:32:31.0007927Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0008033Z               52 LOAD_METHOD              3 (mul)
2022-11-23T01:32:31.0008130Z               54 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0008224Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0008319Z               58 CALL_METHOD              2
2022-11-23T01:32:31.0008324Z 
2022-11-23T01:32:31.0008420Z 1212          60 BUILD_TUPLE              6
2022-11-23T01:32:31.0008503Z               62 RETURN_VALUE
2022-11-23T01:32:31.0008563Z  
2022-11-23T01:32:31.0008568Z 
2022-11-23T01:32:31.0008888Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213
2022-11-23T01:32:31.0009109Z [2022-11-23 01:29:13,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0009414Z [2022-11-23 01:29:13,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0009668Z [2022-11-23 01:29:13,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T01:32:31.0009955Z [2022-11-23 01:29:13,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T01:32:31.0010283Z [2022-11-23 01:29:13,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.0010600Z [2022-11-23 01:29:13,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214
2022-11-23T01:32:31.0010853Z [2022-11-23 01:29:13,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0011185Z [2022-11-23 01:29:13,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0011483Z [2022-11-23 01:29:13,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T01:32:31.0011823Z [2022-11-23 01:29:13,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T01:32:31.0012187Z [2022-11-23 01:29:13,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.0012506Z [2022-11-23 01:29:13,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215
2022-11-23T01:32:31.0012785Z [2022-11-23 01:29:13,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0013147Z [2022-11-23 01:29:13,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0013455Z [2022-11-23 01:29:13,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:31.0013797Z [2022-11-23 01:29:13,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T01:32:31.0014185Z [2022-11-23 01:29:13,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.0014501Z [2022-11-23 01:29:13,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216
2022-11-23T01:32:31.0014806Z [2022-11-23 01:29:13,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0015192Z [2022-11-23 01:29:13,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0015526Z [2022-11-23 01:29:13,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:31.0015887Z [2022-11-23 01:29:13,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T01:32:31.0016300Z [2022-11-23 01:29:13,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.0016618Z [2022-11-23 01:29:13,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217
2022-11-23T01:32:31.0016948Z [2022-11-23 01:29:13,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0017362Z [2022-11-23 01:29:13,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0017722Z [2022-11-23 01:29:13,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:31.0018117Z [2022-11-23 01:29:13,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T01:32:31.0018579Z [2022-11-23 01:29:13,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.0019234Z [2022-11-23 01:29:13,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218
2022-11-23T01:32:31.0019601Z [2022-11-23 01:29:13,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0020040Z [2022-11-23 01:29:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0020423Z [2022-11-23 01:29:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:31.0020842Z [2022-11-23 01:29:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T01:32:31.0021302Z [2022-11-23 01:29:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.0021617Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212
2022-11-23T01:32:31.0021989Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0022247Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0022634Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f214d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211>
2022-11-23T01:32:31.0022889Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0023133Z [2022-11-23 01:29:13,366] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0023395Z [2022-11-23 01:29:13,367] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0023652Z [2022-11-23 01:29:13,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0023848Z [2022-11-23 01:29:13,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0023992Z  __compiled_fn_408 <eval_with_key>.2524 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0024094Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T01:32:31.0024207Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T01:32:31.0024312Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T01:32:31.0024418Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T01:32:31.0024520Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T01:32:31.0024625Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T01:32:31.0024762Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T01:32:31.0024768Z 
2022-11-23T01:32:31.0025101Z [2022-11-23 01:29:13,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0025196Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0025295Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0025390Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0025549Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0025695Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0025795Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0025878Z              12 RETURN_VALUE
2022-11-23T01:32:31.0025884Z 
2022-11-23T01:32:31.0025950Z  
2022-11-23T01:32:31.0026281Z [2022-11-23 01:29:13,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0026400Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_408)
2022-11-23T01:32:31.0026495Z               2 CALL_FUNCTION            0
2022-11-23T01:32:31.0026608Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0026720Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0026818Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0026903Z              10 BINARY_SUBSCR
2022-11-23T01:32:31.0027008Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0027110Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0027193Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0027301Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0027401Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0027485Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0027595Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0027684Z              26 LOAD_CONST               4 (3)
2022-11-23T01:32:31.0027769Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0027876Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0027973Z              32 LOAD_CONST               5 (4)
2022-11-23T01:32:31.0028057Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.0028166Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0028263Z              38 LOAD_CONST               6 (5)
2022-11-23T01:32:31.0028340Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.0028441Z              42 BUILD_TUPLE              6
2022-11-23T01:32:31.0028525Z              44 RETURN_VALUE
2022-11-23T01:32:31.0028530Z 
2022-11-23T01:32:31.0028597Z  
2022-11-23T01:32:31.0028790Z [2022-11-23 01:29:13,373] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0028867Z  - 
2022-11-23T01:32:31.0028994Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0029057Z             {
2022-11-23T01:32:31.0029206Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0029402Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0029529Z                 'obj_weakref': None
2022-11-23T01:32:31.0029760Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0029831Z             }
2022-11-23T01:32:31.0029901Z             
2022-11-23T01:32:31.0029979Z  - 
2022-11-23T01:32:31.0030112Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:31.0030182Z             {
2022-11-23T01:32:31.0030407Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0030633Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 4'],
2022-11-23T01:32:31.0030761Z                 'obj_weakref': None
2022-11-23T01:32:31.0030987Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0031058Z             }
2022-11-23T01:32:31.0031122Z             
2022-11-23T01:32:31.0031202Z  - 
2022-11-23T01:32:31.0031339Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:31.0031409Z             {
2022-11-23T01:32:31.0031559Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0031759Z                 'code': ['___check_type_id(ex[1], 94768292484128)', 'ex[1] == 3.3'],
2022-11-23T01:32:31.0031886Z                 'obj_weakref': None
2022-11-23T01:32:31.0032136Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:31.0032209Z             }
2022-11-23T01:32:31.0032301Z             
2022-11-23T01:32:31.0032381Z  - 
2022-11-23T01:32:31.0032517Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0032588Z             {
2022-11-23T01:32:31.0032722Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0032898Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0033022Z                 'obj_weakref': None
2022-11-23T01:32:31.0033254Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0033327Z             }
2022-11-23T01:32:31.0033398Z             
2022-11-23T01:32:31.0033476Z  - 
2022-11-23T01:32:31.0033596Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0033667Z             {
2022-11-23T01:32:31.0033808Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0034031Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0034163Z                 'obj_weakref': None
2022-11-23T01:32:31.0034389Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0034460Z             }
2022-11-23T01:32:31.0034530Z             
2022-11-23T01:32:31.0034599Z  - 
2022-11-23T01:32:31.0034736Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0034807Z             {
2022-11-23T01:32:31.0034933Z                 'guard_types': None,
2022-11-23T01:32:31.0035049Z                 'code': None,
2022-11-23T01:32:31.0035173Z                 'obj_weakref': None
2022-11-23T01:32:31.0035294Z                 'guarded_class': None
2022-11-23T01:32:31.0035364Z             }
2022-11-23T01:32:31.0035434Z             
2022-11-23T01:32:31.0035700Z [2022-11-23 01:29:13,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398
2022-11-23T01:32:31.0036067Z [2022-11-23 01:29:13,394] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfk6kx5j37bycitlq2qdufzg7psz7jwso5r3dwk76xckoirwedlw.py
2022-11-23T01:32:31.0036338Z [2022-11-23 01:29:13,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398
2022-11-23T01:32:31.0036343Z 
2022-11-23T01:32:31.0036446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0036523Z import torch
2022-11-23T01:32:31.0036591Z import random
2022-11-23T01:32:31.0036717Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0036848Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0036854Z 
2022-11-23T01:32:31.0036940Z aten = torch.ops.aten
2022-11-23T01:32:31.0037085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0037186Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0037191Z 
2022-11-23T01:32:31.0037268Z import triton
2022-11-23T01:32:31.0037364Z import triton.language as tl
2022-11-23T01:32:31.0037486Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0037636Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0037644Z 
2022-11-23T01:32:31.0037649Z 
2022-11-23T01:32:31.0037790Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:31.0038003Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.0038126Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:31.0038232Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:31.0038335Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:31.0038439Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:31.0038533Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:31.0038636Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:31.0038704Z {
2022-11-23T01:32:31.0038773Z     {
2022-11-23T01:32:31.0038844Z         {
2022-11-23T01:32:31.0038951Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0039086Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0039202Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.0039290Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:31.0039362Z         }
2022-11-23T01:32:31.0039431Z     }
2022-11-23T01:32:31.0039500Z     {
2022-11-23T01:32:31.0039567Z         {
2022-11-23T01:32:31.0039668Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0039777Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0039868Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.0039954Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:31.0040024Z         }
2022-11-23T01:32:31.0040091Z     }
2022-11-23T01:32:31.0040157Z     {
2022-11-23T01:32:31.0040218Z         {
2022-11-23T01:32:31.0040322Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0040432Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0040564Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:31.0040651Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:31.0040723Z         }
2022-11-23T01:32:31.0040783Z     }
2022-11-23T01:32:31.0040850Z     {
2022-11-23T01:32:31.0040920Z         {
2022-11-23T01:32:31.0041027Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0041133Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0041264Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:31.0041350Z             out_ptr3[0] = tmp2;
2022-11-23T01:32:31.0041410Z         }
2022-11-23T01:32:31.0041476Z     }
2022-11-23T01:32:31.0041543Z     {
2022-11-23T01:32:31.0041612Z         {
2022-11-23T01:32:31.0041718Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0041825Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0041918Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:31.0041995Z             out_ptr4[0] = tmp2;
2022-11-23T01:32:31.0042064Z         }
2022-11-23T01:32:31.0042131Z     }
2022-11-23T01:32:31.0042199Z     {
2022-11-23T01:32:31.0042269Z         {
2022-11-23T01:32:31.0042375Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0042479Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0042572Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:31.0042657Z             out_ptr5[0] = tmp2;
2022-11-23T01:32:31.0042729Z         }
2022-11-23T01:32:31.0042800Z     }
2022-11-23T01:32:31.0042870Z }
2022-11-23T01:32:31.0042956Z ''')
2022-11-23T01:32:31.0042962Z 
2022-11-23T01:32:31.0042967Z 
2022-11-23T01:32:31.0043055Z async_compile.wait(globals())
2022-11-23T01:32:31.0043136Z del async_compile
2022-11-23T01:32:31.0043141Z 
2022-11-23T01:32:31.0043218Z def call(args):
2022-11-23T01:32:31.0043416Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0043602Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0043785Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0043967Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0044148Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0044319Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0044565Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:31.0044678Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:31.0044684Z 
2022-11-23T01:32:31.0044689Z 
2022-11-23T01:32:31.0044773Z if __name__ == "__main__":
2022-11-23T01:32:31.0044898Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0045031Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0045139Z     print_performance(lambda: call([]))
2022-11-23T01:32:31.0045144Z 
2022-11-23T01:32:31.0045149Z 
2022-11-23T01:32:31.0045248Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0045353Z import torch
2022-11-23T01:32:31.0045424Z import random
2022-11-23T01:32:31.0045577Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0045707Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0045712Z 
2022-11-23T01:32:31.0045797Z aten = torch.ops.aten
2022-11-23T01:32:31.0045939Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0046038Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0046043Z 
2022-11-23T01:32:31.0046121Z import triton
2022-11-23T01:32:31.0046208Z import triton.language as tl
2022-11-23T01:32:31.0046338Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0046482Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0046488Z 
2022-11-23T01:32:31.0046492Z 
2022-11-23T01:32:31.0046633Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:31.0046847Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.0046972Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:31.0047083Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:31.0047188Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:31.0047284Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:31.0047386Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:31.0047487Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:31.0047556Z {
2022-11-23T01:32:31.0047624Z     {
2022-11-23T01:32:31.0047694Z         {
2022-11-23T01:32:31.0047802Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0047903Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0047996Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.0048085Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:31.0048155Z         }
2022-11-23T01:32:31.0048222Z     }
2022-11-23T01:32:31.0048291Z     {
2022-11-23T01:32:31.0048360Z         {
2022-11-23T01:32:31.0048464Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0048573Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0048669Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.0048754Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:31.0048825Z         }
2022-11-23T01:32:31.0048893Z     }
2022-11-23T01:32:31.0048953Z     {
2022-11-23T01:32:31.0049021Z         {
2022-11-23T01:32:31.0049126Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0049233Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0049362Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:31.0049448Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:31.0049516Z         }
2022-11-23T01:32:31.0049577Z     }
2022-11-23T01:32:31.0049644Z     {
2022-11-23T01:32:31.0049714Z         {
2022-11-23T01:32:31.0049821Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0049925Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0050055Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:31.0050142Z             out_ptr3[0] = tmp2;
2022-11-23T01:32:31.0050204Z         }
2022-11-23T01:32:31.0050274Z     }
2022-11-23T01:32:31.0050342Z     {
2022-11-23T01:32:31.0050411Z         {
2022-11-23T01:32:31.0050520Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:31.0050630Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:31.0050723Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:31.0050801Z             out_ptr4[0] = tmp2;
2022-11-23T01:32:31.0050871Z         }
2022-11-23T01:32:31.0050939Z     }
2022-11-23T01:32:31.0051006Z     {
2022-11-23T01:32:31.0051072Z         {
2022-11-23T01:32:31.0051178Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:31.0051275Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:31.0051366Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:31.0051451Z             out_ptr5[0] = tmp2;
2022-11-23T01:32:31.0051520Z         }
2022-11-23T01:32:31.0051618Z     }
2022-11-23T01:32:31.0051686Z }
2022-11-23T01:32:31.0051798Z ''')
2022-11-23T01:32:31.0051803Z 
2022-11-23T01:32:31.0051807Z 
2022-11-23T01:32:31.0051896Z async_compile.wait(globals())
2022-11-23T01:32:31.0051976Z del async_compile
2022-11-23T01:32:31.0051981Z 
2022-11-23T01:32:31.0052060Z def call(args):
2022-11-23T01:32:31.0052253Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0052442Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0052628Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0052807Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0052986Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0053155Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0053400Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:31.0053518Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:31.0053523Z 
2022-11-23T01:32:31.0053528Z 
2022-11-23T01:32:31.0053612Z if __name__ == "__main__":
2022-11-23T01:32:31.0053736Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0053865Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0053969Z     print_performance(lambda: call([]))
2022-11-23T01:32:31.0053974Z 
2022-11-23T01:32:31.0054052Z ok (0.141s)
2022-11-23T01:32:31.0054348Z   test_cat_cuda (__main__.CudaTests) ... [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0054669Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0054893Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0055153Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0055432Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0055752Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0056093Z [2022-11-23 01:29:13,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0056414Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0056786Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553> 
2022-11-23T01:32:31.0056890Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0056982Z                2 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0057069Z                4 BINARY_MULTIPLY
2022-11-23T01:32:31.0057170Z                6 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.0057176Z 
2022-11-23T01:32:31.0057281Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0057381Z               10 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0057478Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0057576Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0057677Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0057768Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0057865Z               20 BUILD_SLICE              2
2022-11-23T01:32:31.0057990Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0058087Z               24 LOAD_CONST               2 (4)
2022-11-23T01:32:31.0058208Z               26 BUILD_SLICE              2
2022-11-23T01:32:31.0058306Z               28 BUILD_TUPLE              2
2022-11-23T01:32:31.0058395Z               30 BINARY_SUBSCR
2022-11-23T01:32:31.0058484Z               32 LOAD_CONST               3 (1)
2022-11-23T01:32:31.0058566Z               34 BINARY_ADD
2022-11-23T01:32:31.0058663Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0058760Z               38 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0059036Z               40 BINARY_ADD
2022-11-23T01:32:31.0059135Z               42 BUILD_TUPLE              3
2022-11-23T01:32:31.0059282Z               44 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.0059370Z               46 CALL_METHOD              2
2022-11-23T01:32:31.0059387Z 
2022-11-23T01:32:31.0059482Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0059584Z               50 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0059684Z               52 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0059782Z               54 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0059878Z               56 BUILD_TUPLE              2
2022-11-23T01:32:31.0059974Z               58 LOAD_CONST               5 (0)
2022-11-23T01:32:31.0060070Z               60 CALL_METHOD              2
2022-11-23T01:32:31.0060075Z 
2022-11-23T01:32:31.0060167Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0060265Z               64 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0060362Z               66 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0060460Z               68 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0060564Z               70 LOAD_METHOD              2 (double)
2022-11-23T01:32:31.0060658Z               72 CALL_METHOD              0
2022-11-23T01:32:31.0060755Z               74 BUILD_TUPLE              2
2022-11-23T01:32:31.0060847Z               76 LOAD_CONST               5 (0)
2022-11-23T01:32:31.0060945Z               78 CALL_METHOD              2
2022-11-23T01:32:31.0060950Z 
2022-11-23T01:32:31.0061046Z 2555          80 BUILD_TUPLE              3
2022-11-23T01:32:31.0061128Z               82 RETURN_VALUE
2022-11-23T01:32:31.0061195Z  
2022-11-23T01:32:31.0061201Z 
2022-11-23T01:32:31.0061520Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554
2022-11-23T01:32:31.0061735Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.0061979Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.0062276Z [2022-11-23 01:29:13,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0062517Z [2022-11-23 01:29:13,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.0062833Z [2022-11-23 01:29:13,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556
2022-11-23T01:32:31.0063057Z [2022-11-23 01:29:13,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0063418Z [2022-11-23 01:29:13,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0063735Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0064079Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0064505Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0064946Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0065401Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0065794Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:31.0066234Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0066706Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:31.0067124Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:31.0067523Z [2022-11-23 01:29:13,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.0067882Z [2022-11-23 01:29:13,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0068290Z [2022-11-23 01:29:13,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0068654Z [2022-11-23 01:29:13,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0069045Z [2022-11-23 01:29:13,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0069481Z [2022-11-23 01:29:13,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0069880Z [2022-11-23 01:29:13,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0070220Z [2022-11-23 01:29:13,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0070903Z [2022-11-23 01:29:13,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0071216Z [2022-11-23 01:29:13,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557
2022-11-23T01:32:31.0071507Z [2022-11-23 01:29:13,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.0071920Z [2022-11-23 01:29:13,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0072265Z [2022-11-23 01:29:13,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0072634Z [2022-11-23 01:29:13,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0073038Z [2022-11-23 01:29:13,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0073402Z [2022-11-23 01:29:13,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0073805Z [2022-11-23 01:29:13,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0074117Z [2022-11-23 01:29:13,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558
2022-11-23T01:32:31.0074394Z [2022-11-23 01:29:13,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0074809Z [2022-11-23 01:29:13,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0075183Z [2022-11-23 01:29:13,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0075581Z [2022-11-23 01:29:13,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0076006Z [2022-11-23 01:29:13,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0076469Z [2022-11-23 01:29:13,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T01:32:31.0076893Z [2022-11-23 01:29:13,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0077285Z [2022-11-23 01:29:13,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0077718Z [2022-11-23 01:29:13,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0078033Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555
2022-11-23T01:32:31.0078357Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0078625Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0078992Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553>
2022-11-23T01:32:31.0079240Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0079476Z [2022-11-23 01:29:13,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0079733Z [2022-11-23 01:29:13,411] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0079987Z [2022-11-23 01:29:13,417] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0080183Z [2022-11-23 01:29:13,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0080332Z  __compiled_fn_409 <eval_with_key>.2530 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0080431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0080610Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:31.0080860Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T01:32:31.0081044Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:31.0081222Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:31.0081471Z call_function, cat, <built-in method cat of type object at 0x7f209c394c60>, ((ex_0_, add, add_1), -1), {}
2022-11-23T01:32:31.0081709Z call_function, cat_1, <built-in method cat of type object at 0x7f209c394c60>, ((mul, mul), 0), {}
2022-11-23T01:32:31.0081815Z call_method, double, double, (mul,), {}
2022-11-23T01:32:31.0082056Z call_function, cat_2, <built-in method cat of type object at 0x7f209c394c60>, ((mul, double), 0), {}
2022-11-23T01:32:31.0082176Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T01:32:31.0082182Z 
2022-11-23T01:32:31.0082509Z [2022-11-23 01:29:13,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0082603Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0082704Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0082800Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0082904Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0083004Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0083102Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0083187Z              12 RETURN_VALUE
2022-11-23T01:32:31.0083193Z 
2022-11-23T01:32:31.0083253Z  
2022-11-23T01:32:31.0083573Z [2022-11-23 01:29:13,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0083699Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_409)
2022-11-23T01:32:31.0083798Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0083898Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0083983Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0084082Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0084193Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0084297Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0084396Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0084480Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0084591Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0084690Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0084775Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0084911Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0085037Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0085120Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0085218Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.0085304Z              32 RETURN_VALUE
2022-11-23T01:32:31.0085309Z 
2022-11-23T01:32:31.0085381Z  
2022-11-23T01:32:31.0085572Z [2022-11-23 01:29:13,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0085650Z  - 
2022-11-23T01:32:31.0085769Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0085843Z             {
2022-11-23T01:32:31.0085993Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0086185Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0086311Z                 'obj_weakref': None
2022-11-23T01:32:31.0086540Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0086613Z             }
2022-11-23T01:32:31.0086678Z             
2022-11-23T01:32:31.0086756Z  - 
2022-11-23T01:32:31.0086888Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0086958Z             {
2022-11-23T01:32:31.0087108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0087223Z                 'code': None,
2022-11-23T01:32:31.0087441Z                 'obj_weakref': <weakref at 0x7f1fd9b14d60; to 'Tensor' at 0x7f1fe0358270>
2022-11-23T01:32:31.0087684Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0087756Z             }
2022-11-23T01:32:31.0087826Z             
2022-11-23T01:32:31.0087904Z  - 
2022-11-23T01:32:31.0088042Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0088114Z             {
2022-11-23T01:32:31.0088258Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0088431Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0088556Z                 'obj_weakref': None
2022-11-23T01:32:31.0088793Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0088864Z             }
2022-11-23T01:32:31.0088934Z             
2022-11-23T01:32:31.0089010Z  - 
2022-11-23T01:32:31.0089139Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0089202Z             {
2022-11-23T01:32:31.0089346Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0089571Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0089696Z                 'obj_weakref': None
2022-11-23T01:32:31.0089924Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0089994Z             }
2022-11-23T01:32:31.0090064Z             
2022-11-23T01:32:31.0090133Z  - 
2022-11-23T01:32:31.0090276Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0090352Z             {
2022-11-23T01:32:31.0090483Z                 'guard_types': None,
2022-11-23T01:32:31.0090597Z                 'code': None,
2022-11-23T01:32:31.0090721Z                 'obj_weakref': None
2022-11-23T01:32:31.0090850Z                 'guarded_class': None
2022-11-23T01:32:31.0090913Z             }
2022-11-23T01:32:31.0090985Z             
2022-11-23T01:32:31.0091252Z [2022-11-23 01:29:13,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399
2022-11-23T01:32:31.0091716Z [2022-11-23 01:29:13,449] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:31.0091970Z [2022-11-23 01:29:13,454] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0092371Z [2022-11-23 01:29:13,647] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpv4ekg6mv3fbe5xx5kwxe5h64g36ob6cxk6bajvtrtbw6joej3x.py
2022-11-23T01:32:31.0092676Z [2022-11-23 01:29:13,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399
2022-11-23T01:32:31.0092922Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0093244Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0093463Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0093725Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0094018Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0094347Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0094700Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0095027Z [2022-11-23 01:29:13,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0095405Z [2022-11-23 01:29:13,651] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553> 
2022-11-23T01:32:31.0095511Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0095612Z                2 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0095694Z                4 BINARY_MULTIPLY
2022-11-23T01:32:31.0095799Z                6 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.0095807Z 
2022-11-23T01:32:31.0095911Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0096013Z               10 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0096118Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0096219Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0096322Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0096421Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0096510Z               20 BUILD_SLICE              2
2022-11-23T01:32:31.0096611Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0096708Z               24 LOAD_CONST               2 (4)
2022-11-23T01:32:31.0096804Z               26 BUILD_SLICE              2
2022-11-23T01:32:31.0096902Z               28 BUILD_TUPLE              2
2022-11-23T01:32:31.0096989Z               30 BINARY_SUBSCR
2022-11-23T01:32:31.0097086Z               32 LOAD_CONST               3 (1)
2022-11-23T01:32:31.0097162Z               34 BINARY_ADD
2022-11-23T01:32:31.0097261Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0097357Z               38 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0097438Z               40 BINARY_ADD
2022-11-23T01:32:31.0097534Z               42 BUILD_TUPLE              3
2022-11-23T01:32:31.0097678Z               44 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.0097775Z               46 CALL_METHOD              2
2022-11-23T01:32:31.0097781Z 
2022-11-23T01:32:31.0097876Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0097977Z               50 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0098075Z               52 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0098175Z               54 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0098271Z               56 BUILD_TUPLE              2
2022-11-23T01:32:31.0098368Z               58 LOAD_CONST               5 (0)
2022-11-23T01:32:31.0098491Z               60 CALL_METHOD              2
2022-11-23T01:32:31.0098516Z 
2022-11-23T01:32:31.0098621Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0098714Z               64 LOAD_METHOD              1 (cat)
2022-11-23T01:32:31.0099024Z               66 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0099125Z               68 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.0099229Z               70 LOAD_METHOD              2 (double)
2022-11-23T01:32:31.0099326Z               72 CALL_METHOD              0
2022-11-23T01:32:31.0099423Z               74 BUILD_TUPLE              2
2022-11-23T01:32:31.0099522Z               76 LOAD_CONST               5 (0)
2022-11-23T01:32:31.0099609Z               78 CALL_METHOD              2
2022-11-23T01:32:31.0099622Z 
2022-11-23T01:32:31.0099709Z 2555          80 BUILD_TUPLE              3
2022-11-23T01:32:31.0099796Z               82 RETURN_VALUE
2022-11-23T01:32:31.0099863Z  
2022-11-23T01:32:31.0099868Z 
2022-11-23T01:32:31.0100196Z [2022-11-23 01:29:13,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554
2022-11-23T01:32:31.0100417Z [2022-11-23 01:29:13,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.0100666Z [2022-11-23 01:29:13,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.0100971Z [2022-11-23 01:29:13,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0101224Z [2022-11-23 01:29:13,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.0101538Z [2022-11-23 01:29:13,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556
2022-11-23T01:32:31.0101768Z [2022-11-23 01:29:13,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0102139Z [2022-11-23 01:29:13,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0102465Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0102805Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0103177Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0103594Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0104053Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0104448Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:31.0104881Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.0105406Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:31.0105851Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:31.0106253Z [2022-11-23 01:29:13,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.0106620Z [2022-11-23 01:29:13,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0107030Z [2022-11-23 01:29:13,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0107386Z [2022-11-23 01:29:13,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0107781Z [2022-11-23 01:29:13,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0108214Z [2022-11-23 01:29:13,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0108613Z [2022-11-23 01:29:13,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0108963Z [2022-11-23 01:29:13,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0109348Z [2022-11-23 01:29:13,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0109668Z [2022-11-23 01:29:13,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557
2022-11-23T01:32:31.0109924Z [2022-11-23 01:29:13,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.0110535Z [2022-11-23 01:29:13,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0110906Z [2022-11-23 01:29:13,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0111284Z [2022-11-23 01:29:13,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0111686Z [2022-11-23 01:29:13,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0112051Z [2022-11-23 01:29:13,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0112487Z [2022-11-23 01:29:13,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0112819Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558
2022-11-23T01:32:31.0113087Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0113510Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0113888Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0114292Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0114725Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0115191Z [2022-11-23 01:29:13,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T01:32:31.0115610Z [2022-11-23 01:29:13,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0116004Z [2022-11-23 01:29:13,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0116443Z [2022-11-23 01:29:13,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0116752Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555
2022-11-23T01:32:31.0117053Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0117306Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0117690Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553>
2022-11-23T01:32:31.0117938Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0118168Z [2022-11-23 01:29:13,662] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0118430Z [2022-11-23 01:29:13,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0118688Z [2022-11-23 01:29:13,670] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0118880Z [2022-11-23 01:29:13,670] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0119026Z  __compiled_fn_410 <eval_with_key>.2536 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0119124Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0119302Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:31.0119587Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T01:32:31.0119783Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:31.0119964Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:31.0120214Z call_function, cat, <built-in method cat of type object at 0x7f209c394c60>, ((ex_0_, add, add_1), -1), {}
2022-11-23T01:32:31.0120451Z call_function, cat_1, <built-in method cat of type object at 0x7f209c394c60>, ((mul, mul), 0), {}
2022-11-23T01:32:31.0120557Z call_method, double, double, (mul,), {}
2022-11-23T01:32:31.0120795Z call_function, cat_2, <built-in method cat of type object at 0x7f209c394c60>, ((mul, double), 0), {}
2022-11-23T01:32:31.0120914Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T01:32:31.0120920Z 
2022-11-23T01:32:31.0121248Z [2022-11-23 01:29:13,671] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0121357Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0121451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0121546Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0121649Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0121745Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0121842Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0121925Z              12 RETURN_VALUE
2022-11-23T01:32:31.0121930Z 
2022-11-23T01:32:31.0121999Z  
2022-11-23T01:32:31.0122311Z [2022-11-23 01:29:13,671] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0122434Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_410)
2022-11-23T01:32:31.0122537Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0122636Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0122725Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0122823Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0122938Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0123053Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0123144Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0123228Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0123339Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0123435Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0123518Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0123627Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0123725Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0123801Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0123896Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.0123981Z              32 RETURN_VALUE
2022-11-23T01:32:31.0123986Z 
2022-11-23T01:32:31.0124055Z  
2022-11-23T01:32:31.0124247Z [2022-11-23 01:29:13,671] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0124325Z  - 
2022-11-23T01:32:31.0124453Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0124517Z             {
2022-11-23T01:32:31.0124664Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0124859Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0124986Z                 'obj_weakref': None
2022-11-23T01:32:31.0125213Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0125284Z             }
2022-11-23T01:32:31.0125353Z             
2022-11-23T01:32:31.0125423Z  - 
2022-11-23T01:32:31.0125556Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0125629Z             {
2022-11-23T01:32:31.0125780Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0125898Z                 'code': None,
2022-11-23T01:32:31.0126148Z                 'obj_weakref': <weakref at 0x7f1fd97bb6a0; to 'Tensor' at 0x7f20230b5fd0>
2022-11-23T01:32:31.0126427Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0126490Z             }
2022-11-23T01:32:31.0126562Z             
2022-11-23T01:32:31.0126640Z  - 
2022-11-23T01:32:31.0126780Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0126850Z             {
2022-11-23T01:32:31.0126992Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0127168Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0127286Z                 'obj_weakref': None
2022-11-23T01:32:31.0127525Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0127596Z             }
2022-11-23T01:32:31.0127667Z             
2022-11-23T01:32:31.0127745Z  - 
2022-11-23T01:32:31.0127878Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0127949Z             {
2022-11-23T01:32:31.0128088Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0128309Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0128436Z                 'obj_weakref': None
2022-11-23T01:32:31.0128665Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0128737Z             }
2022-11-23T01:32:31.0128806Z             
2022-11-23T01:32:31.0128884Z  - 
2022-11-23T01:32:31.0129018Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0129090Z             {
2022-11-23T01:32:31.0129218Z                 'guard_types': None,
2022-11-23T01:32:31.0129335Z                 'code': None,
2022-11-23T01:32:31.0129460Z                 'obj_weakref': None
2022-11-23T01:32:31.0129593Z                 'guarded_class': None
2022-11-23T01:32:31.0129664Z             }
2022-11-23T01:32:31.0129726Z             
2022-11-23T01:32:31.0129995Z [2022-11-23 01:29:13,682] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400
2022-11-23T01:32:31.0130451Z [2022-11-23 01:29:13,700] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:31.0130701Z [2022-11-23 01:29:13,704] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0130707Z 
2022-11-23T01:32:31.0130810Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0130888Z import torch
2022-11-23T01:32:31.0130965Z import random
2022-11-23T01:32:31.0131091Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0131213Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0131219Z 
2022-11-23T01:32:31.0131303Z aten = torch.ops.aten
2022-11-23T01:32:31.0131446Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0131548Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0131553Z 
2022-11-23T01:32:31.0131632Z import triton
2022-11-23T01:32:31.0131727Z import triton.language as tl
2022-11-23T01:32:31.0131856Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0131994Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0132008Z 
2022-11-23T01:32:31.0132012Z 
2022-11-23T01:32:31.0132212Z triton_fused_cat_2_add_1_cat_1__to_copy_cat_mul0 = async_compile.triton('''
2022-11-23T01:32:31.0132291Z import triton
2022-11-23T01:32:31.0132387Z import triton.language as tl
2022-11-23T01:32:31.0132506Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0132612Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0132754Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0132884Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0132890Z 
2022-11-23T01:32:31.0133400Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp64', 6: '*fp64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.0133490Z @triton.jit
2022-11-23T01:32:31.0133678Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0133756Z     xnumel = 128
2022-11-23T01:32:31.0133858Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0133995Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0134082Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0134157Z     x2 = xindex
2022-11-23T01:32:31.0134228Z     x0 = xindex % 16
2022-11-23T01:32:31.0134312Z     x1 = (xindex // 16)
2022-11-23T01:32:31.0134412Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.0134487Z     tmp1 = 2
2022-11-23T01:32:31.0134572Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0134658Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:31.0134751Z     tmp4 = tmp3.to(tl.float64)
2022-11-23T01:32:31.0134890Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0135031Z     tl.store(out_ptr1 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0135168Z     tl.store(out_ptr2 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.0135304Z     tl.store(out_ptr3 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.0135439Z     tl.store(out_ptr4 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0135575Z     tl.store(out_ptr5 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0135664Z ''')
2022-11-23T01:32:31.0135670Z 
2022-11-23T01:32:31.0135674Z 
2022-11-23T01:32:31.0135864Z triton_fused_add_slice_1_slice_21 = async_compile.triton('''
2022-11-23T01:32:31.0135934Z import triton
2022-11-23T01:32:31.0136033Z import triton.language as tl
2022-11-23T01:32:31.0136154Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0136260Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0136398Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0136527Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0136533Z 
2022-11-23T01:32:31.0136910Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0136986Z @triton.jit
2022-11-23T01:32:31.0137116Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0137194Z     xnumel = 32
2022-11-23T01:32:31.0137295Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0137430Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0137522Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0137600Z     x0 = xindex % 4
2022-11-23T01:32:31.0137685Z     x1 = (xindex // 4)
2022-11-23T01:32:31.0137788Z     tmp0 = tl.load(in_ptr0 + (x0 + (16*x1)), xmask)
2022-11-23T01:32:31.0137864Z     tmp1 = 1
2022-11-23T01:32:31.0137947Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0138090Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0138178Z ''')
2022-11-23T01:32:31.0138183Z 
2022-11-23T01:32:31.0138188Z 
2022-11-23T01:32:31.0138283Z async_compile.wait(globals())
2022-11-23T01:32:31.0138365Z del async_compile
2022-11-23T01:32:31.0138370Z 
2022-11-23T01:32:31.0138448Z def call(args):
2022-11-23T01:32:31.0138516Z     arg0_1, = args
2022-11-23T01:32:31.0138593Z     args.clear()
2022-11-23T01:32:31.0138983Z     buf3 = empty_strided((8, 36), (36, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0139096Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T01:32:31.0139260Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T01:32:31.0139469Z     buf6 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0139615Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T01:32:31.0139720Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:31.0139925Z     buf9 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.0140032Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T01:32:31.0140145Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:31.0140240Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0140435Z     triton_fused_cat_2_add_1_cat_1__to_copy_cat_mul0.run(arg0_1, buf0, buf2, buf4, buf5, buf7, buf8, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.0140547Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T01:32:31.0140700Z     triton_fused_add_slice_1_slice_21.run(arg0_1, buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.0140773Z     del arg0_1
2022-11-23T01:32:31.0140866Z     return (buf3, buf6, buf9, )
2022-11-23T01:32:31.0140871Z 
2022-11-23T01:32:31.0140875Z 
2022-11-23T01:32:31.0140959Z if __name__ == "__main__":
2022-11-23T01:32:31.0141085Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0141216Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0141418Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0141537Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0141541Z 
2022-11-23T01:32:31.0141906Z [2022-11-23 01:29:13,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7e/c7efjt2psiyzpsi7whu3s4hezzeircjbzs5sszjk4pid22ikhvjc.py
2022-11-23T01:32:31.0142167Z [2022-11-23 01:29:13,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400
2022-11-23T01:32:31.0142183Z 
2022-11-23T01:32:31.0142277Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0142354Z import torch
2022-11-23T01:32:31.0142434Z import random
2022-11-23T01:32:31.0142559Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0142686Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0142691Z 
2022-11-23T01:32:31.0142777Z aten = torch.ops.aten
2022-11-23T01:32:31.0142920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0143012Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0143016Z 
2022-11-23T01:32:31.0143096Z import triton
2022-11-23T01:32:31.0143190Z import triton.language as tl
2022-11-23T01:32:31.0143319Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0143464Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0143470Z 
2022-11-23T01:32:31.0143474Z 
2022-11-23T01:32:31.0143679Z triton_fused_cat_2_cat_1_cat_mul__to_copy_add_10 = async_compile.triton('''
2022-11-23T01:32:31.0143755Z import triton
2022-11-23T01:32:31.0143855Z import triton.language as tl
2022-11-23T01:32:31.0143966Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0144074Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0144214Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0144345Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0144350Z 
2022-11-23T01:32:31.0144793Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp64', 6: '*fp64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.0144869Z @triton.jit
2022-11-23T01:32:31.0145056Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0145132Z     xnumel = 128
2022-11-23T01:32:31.0145226Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0145388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0145508Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0145584Z     x2 = xindex
2022-11-23T01:32:31.0145666Z     x0 = xindex % 16
2022-11-23T01:32:31.0145750Z     x1 = (xindex // 16)
2022-11-23T01:32:31.0145878Z     tmp0 = tl.load(in_ptr0 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.0145944Z     tmp1 = 2
2022-11-23T01:32:31.0146026Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0146105Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:31.0146195Z     tmp4 = tmp3.to(tl.float64)
2022-11-23T01:32:31.0146339Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0146480Z     tl.store(out_ptr1 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0146617Z     tl.store(out_ptr2 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.0146745Z     tl.store(out_ptr3 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.0146883Z     tl.store(out_ptr4 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0147019Z     tl.store(out_ptr5 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0147109Z ''')
2022-11-23T01:32:31.0147115Z 
2022-11-23T01:32:31.0147120Z 
2022-11-23T01:32:31.0147305Z triton_fused_slice_2_slice_1_add1 = async_compile.triton('''
2022-11-23T01:32:31.0147385Z import triton
2022-11-23T01:32:31.0147480Z import triton.language as tl
2022-11-23T01:32:31.0147598Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0147697Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0147835Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0147964Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0147970Z 
2022-11-23T01:32:31.0148343Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0148422Z @triton.jit
2022-11-23T01:32:31.0148562Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0148637Z     xnumel = 32
2022-11-23T01:32:31.0148740Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0148867Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0148953Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0149029Z     x0 = xindex % 4
2022-11-23T01:32:31.0149112Z     x1 = (xindex // 4)
2022-11-23T01:32:31.0149241Z     tmp0 = tl.load(in_ptr0 + (x0 + (16*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.0149319Z     tmp1 = 1
2022-11-23T01:32:31.0149401Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0149537Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0149624Z ''')
2022-11-23T01:32:31.0149630Z 
2022-11-23T01:32:31.0149634Z 
2022-11-23T01:32:31.0149731Z async_compile.wait(globals())
2022-11-23T01:32:31.0149812Z del async_compile
2022-11-23T01:32:31.0149820Z 
2022-11-23T01:32:31.0149896Z def call(args):
2022-11-23T01:32:31.0149974Z     arg0_1, = args
2022-11-23T01:32:31.0150051Z     args.clear()
2022-11-23T01:32:31.0150393Z     buf3 = empty_strided((8, 36), (36, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0150519Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T01:32:31.0150644Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T01:32:31.0150872Z     buf6 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0150993Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T01:32:31.0151104Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:31.0151302Z     buf9 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.0151409Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T01:32:31.0151511Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:31.0151641Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0151857Z     triton_fused_cat_2_cat_1_cat_mul__to_copy_add_10.run(arg0_1, buf0, buf2, buf4, buf5, buf7, buf8, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.0151966Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T01:32:31.0152122Z     triton_fused_slice_2_slice_1_add1.run(arg0_1, buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.0152195Z     del arg0_1
2022-11-23T01:32:31.0152285Z     return (buf3, buf6, buf9, )
2022-11-23T01:32:31.0152290Z 
2022-11-23T01:32:31.0152295Z 
2022-11-23T01:32:31.0152376Z if __name__ == "__main__":
2022-11-23T01:32:31.0152488Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0152617Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0152817Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0152930Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0152935Z 
2022-11-23T01:32:31.0153009Z ok (0.397s)
2022-11-23T01:32:31.0153329Z   test_cat_extern_kernel_cuda (__main__.CudaTests) ... [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0153646Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0153867Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0154120Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0154391Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0154709Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0155053Z [2022-11-23 01:29:13,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0155376Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0155754Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580> 
2022-11-23T01:32:31.0155859Z  2581           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0155960Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:31.0156058Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:32:31.0156156Z                6 LOAD_FAST                2 (x3)
2022-11-23T01:32:31.0156244Z                8 CALL_METHOD              2
2022-11-23T01:32:31.0156344Z               10 STORE_FAST               4 (x)
2022-11-23T01:32:31.0156349Z 
2022-11-23T01:32:31.0156457Z 2582          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0156558Z               14 LOAD_METHOD              2 (narrow)
2022-11-23T01:32:31.0156654Z               16 LOAD_FAST                4 (x)
2022-11-23T01:32:31.0156749Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0156843Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0156934Z               22 LOAD_CONST               3 (100)
2022-11-23T01:32:31.0157029Z               24 CALL_METHOD              4
2022-11-23T01:32:31.0157123Z               26 STORE_FAST               5 (s)
2022-11-23T01:32:31.0157129Z 
2022-11-23T01:32:31.0157232Z 2583          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0157329Z               30 LOAD_METHOD              1 (mm)
2022-11-23T01:32:31.0157423Z               32 LOAD_FAST                5 (s)
2022-11-23T01:32:31.0157519Z               34 LOAD_FAST                3 (x4)
2022-11-23T01:32:31.0157644Z               36 CALL_METHOD              2
2022-11-23T01:32:31.0157751Z               38 STORE_FAST               4 (x)
2022-11-23T01:32:31.0157755Z 
2022-11-23T01:32:31.0157856Z 2584          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0157954Z               42 LOAD_METHOD              3 (cat)
2022-11-23T01:32:31.0158049Z               44 LOAD_FAST                4 (x)
2022-11-23T01:32:31.0158146Z               46 LOAD_FAST                0 (x1)
2022-11-23T01:32:31.0158240Z               48 BUILD_TUPLE              2
2022-11-23T01:32:31.0158333Z               50 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0158419Z               52 CALL_METHOD              2
2022-11-23T01:32:31.0158515Z               54 STORE_FAST               6 (c)
2022-11-23T01:32:31.0158519Z 
2022-11-23T01:32:31.0158611Z 2585          56 LOAD_FAST                6 (c)
2022-11-23T01:32:31.0158707Z               58 BUILD_TUPLE              1
2022-11-23T01:32:31.0158791Z               60 RETURN_VALUE
2022-11-23T01:32:31.0158860Z  
2022-11-23T01:32:31.0158865Z 
2022-11-23T01:32:31.0159192Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2581
2022-11-23T01:32:31.0159423Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0159789Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0160104Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0160443Z [2022-11-23 01:29:13,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0160817Z [2022-11-23 01:29:13,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0161061Z [2022-11-23 01:29:13,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.0161373Z [2022-11-23 01:29:13,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2582
2022-11-23T01:32:31.0161598Z [2022-11-23 01:29:13,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0161966Z [2022-11-23 01:29:13,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0162289Z [2022-11-23 01:29:13,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0162634Z [2022-11-23 01:29:13,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0163014Z [2022-11-23 01:29:13,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0163427Z [2022-11-23 01:29:13,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0163883Z [2022-11-23 01:29:13,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method narrow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0164156Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()]
2022-11-23T01:32:31.0164479Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2583
2022-11-23T01:32:31.0164705Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0165062Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0165373Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0165706Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0166075Z [2022-11-23 01:29:13,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0166317Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.0166631Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2584
2022-11-23T01:32:31.0166853Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0167215Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0167534Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0167873Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0168238Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0168575Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable()]
2022-11-23T01:32:31.0168949Z [2022-11-23 01:29:13,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f209c394c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0169186Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:31.0169501Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2585
2022-11-23T01:32:31.0169718Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:31.0169964Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.0170212Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0170587Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580>
2022-11-23T01:32:31.0170835Z [2022-11-23 01:29:13,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0171064Z [2022-11-23 01:29:13,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0171351Z [2022-11-23 01:29:13,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0171626Z [2022-11-23 01:29:13,820] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0171824Z [2022-11-23 01:29:13,820] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0171968Z  __compiled_fn_411 <eval_with_key>.2542 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0172066Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0172162Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0172255Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.0172338Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.0172569Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (ex_1_, ex_2_), {}
2022-11-23T01:32:31.0172814Z call_function, narrow, <built-in method narrow of type object at 0x7f209c394c60>, (mm, 1, 0, 100), {}
2022-11-23T01:32:31.0173049Z call_function, mm_1, <built-in method mm of type object at 0x7f209c394c60>, (narrow, ex_3_), {}
2022-11-23T01:32:31.0173292Z call_function, cat, <built-in method cat of type object at 0x7f209c394c60>, ((mm_1, ex_0_), 1), {}
2022-11-23T01:32:31.0173394Z output, output, output, ((cat,),), {}
2022-11-23T01:32:31.0173400Z 
2022-11-23T01:32:31.0173734Z [2022-11-23 01:29:13,820] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0173836Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0173926Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0174021Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0174119Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0174211Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0174306Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0174388Z              12 RETURN_VALUE
2022-11-23T01:32:31.0174393Z 
2022-11-23T01:32:31.0174461Z  
2022-11-23T01:32:31.0174787Z [2022-11-23 01:29:13,820] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0174901Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_411)
2022-11-23T01:32:31.0175003Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0175101Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0175185Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0175281Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0175377Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0175459Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0175546Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0175638Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0175720Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.0175814Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0175909Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.0175993Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.0176087Z              26 CALL_FUNCTION            4
2022-11-23T01:32:31.0176193Z              28 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0176307Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0176402Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0176485Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.0176579Z              36 BUILD_TUPLE              1
2022-11-23T01:32:31.0176662Z              38 RETURN_VALUE
2022-11-23T01:32:31.0176668Z 
2022-11-23T01:32:31.0176734Z  
2022-11-23T01:32:31.0176915Z [2022-11-23 01:29:13,821] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0176993Z  - 
2022-11-23T01:32:31.0177119Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0177189Z             {
2022-11-23T01:32:31.0177338Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0177559Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.0177703Z                 'obj_weakref': None
2022-11-23T01:32:31.0177932Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0177995Z             }
2022-11-23T01:32:31.0178065Z             
2022-11-23T01:32:31.0178144Z  - 
2022-11-23T01:32:31.0178273Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0178343Z             {
2022-11-23T01:32:31.0178490Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0178595Z                 'code': None,
2022-11-23T01:32:31.0179001Z                 'obj_weakref': <weakref at 0x7f1fd97e68e0; to 'Tensor' at 0x7f1fd9aa9670>
2022-11-23T01:32:31.0179257Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0179328Z             }
2022-11-23T01:32:31.0179400Z             
2022-11-23T01:32:31.0179480Z  - 
2022-11-23T01:32:31.0179608Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0179672Z             {
2022-11-23T01:32:31.0179824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0179936Z                 'code': None,
2022-11-23T01:32:31.0180152Z                 'obj_weakref': <weakref at 0x7f1fd97e72e0; to 'Tensor' at 0x7f1fd9aab0b0>
2022-11-23T01:32:31.0180397Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0180466Z             }
2022-11-23T01:32:31.0180534Z             
2022-11-23T01:32:31.0180603Z  - 
2022-11-23T01:32:31.0180730Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.0180798Z             {
2022-11-23T01:32:31.0180944Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0181056Z                 'code': None,
2022-11-23T01:32:31.0181267Z                 'obj_weakref': <weakref at 0x7f1fd97e4b80; to 'Tensor' at 0x7f1fd9aab380>
2022-11-23T01:32:31.0181524Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0181597Z             }
2022-11-23T01:32:31.0181673Z             
2022-11-23T01:32:31.0181762Z  - 
2022-11-23T01:32:31.0181914Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.0181984Z             {
2022-11-23T01:32:31.0182131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0182242Z                 'code': None,
2022-11-23T01:32:31.0182445Z                 'obj_weakref': <weakref at 0x7f1fd97e45e0; to 'Tensor' at 0x7f1fd9aab970>
2022-11-23T01:32:31.0182696Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0182765Z             }
2022-11-23T01:32:31.0182833Z             
2022-11-23T01:32:31.0182911Z  - 
2022-11-23T01:32:31.0183046Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0183115Z             {
2022-11-23T01:32:31.0183249Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0183425Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0183549Z                 'obj_weakref': None
2022-11-23T01:32:31.0183778Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0183848Z             }
2022-11-23T01:32:31.0183916Z             
2022-11-23T01:32:31.0183992Z  - 
2022-11-23T01:32:31.0184111Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0184181Z             {
2022-11-23T01:32:31.0184321Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0184537Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0184660Z                 'obj_weakref': None
2022-11-23T01:32:31.0184881Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0184950Z             }
2022-11-23T01:32:31.0185076Z             
2022-11-23T01:32:31.0185146Z  - 
2022-11-23T01:32:31.0185319Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0185387Z             {
2022-11-23T01:32:31.0185511Z                 'guard_types': None,
2022-11-23T01:32:31.0185625Z                 'code': None,
2022-11-23T01:32:31.0185748Z                 'obj_weakref': None
2022-11-23T01:32:31.0185866Z                 'guarded_class': None
2022-11-23T01:32:31.0185936Z             }
2022-11-23T01:32:31.0186006Z             
2022-11-23T01:32:31.0186271Z [2022-11-23 01:29:13,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401
2022-11-23T01:32:31.0186524Z [2022-11-23 01:29:13,835] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.0186889Z [2022-11-23 01:29:13,903] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fz/cfztoduasjfysz6vtumw5mnpiru646q3fae5ux43p4agz32oz6cv.py
2022-11-23T01:32:31.0187157Z [2022-11-23 01:29:13,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401
2022-11-23T01:32:31.0187165Z 
2022-11-23T01:32:31.0187266Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0187333Z import torch
2022-11-23T01:32:31.0187410Z import random
2022-11-23T01:32:31.0187531Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0187656Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0187661Z 
2022-11-23T01:32:31.0187748Z aten = torch.ops.aten
2022-11-23T01:32:31.0187890Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0187989Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0187994Z 
2022-11-23T01:32:31.0188071Z import triton
2022-11-23T01:32:31.0188158Z import triton.language as tl
2022-11-23T01:32:31.0188286Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0188432Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0188438Z 
2022-11-23T01:32:31.0188445Z 
2022-11-23T01:32:31.0188599Z triton_fused_cat0 = async_compile.triton('''
2022-11-23T01:32:31.0188679Z import triton
2022-11-23T01:32:31.0188774Z import triton.language as tl
2022-11-23T01:32:31.0188889Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0188992Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0189120Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0189249Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0189254Z 
2022-11-23T01:32:31.0189629Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0189703Z @triton.jit
2022-11-23T01:32:31.0189838Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0189918Z     xnumel = 65536
2022-11-23T01:32:31.0190017Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0190146Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0190235Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0190419Z     x2 = xindex
2022-11-23T01:32:31.0190512Z     x0 = xindex % 256
2022-11-23T01:32:31.0190609Z     x1 = (xindex // 256)
2022-11-23T01:32:31.0190726Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.0190891Z     tl.store(out_ptr0 + (x0 + (512*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0190992Z ''')
2022-11-23T01:32:31.0191008Z 
2022-11-23T01:32:31.0191014Z 
2022-11-23T01:32:31.0191106Z async_compile.wait(globals())
2022-11-23T01:32:31.0191185Z del async_compile
2022-11-23T01:32:31.0191190Z 
2022-11-23T01:32:31.0191268Z def call(args):
2022-11-23T01:32:31.0191364Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:31.0191445Z     args.clear()
2022-11-23T01:32:31.0191657Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0191811Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:31.0191906Z     del arg1_1
2022-11-23T01:32:31.0191980Z     del arg2_1
2022-11-23T01:32:31.0192187Z     buf3 = empty_strided((256, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0192301Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2022-11-23T01:32:31.0192430Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2022-11-23T01:32:31.0192506Z     del arg3_1
2022-11-23T01:32:31.0192578Z     del buf0
2022-11-23T01:32:31.0192684Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2022-11-23T01:32:31.0192777Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0192918Z     triton_fused_cat0.run(arg0_1, buf2, 65536, grid=grid(65536), stream=stream0)
2022-11-23T01:32:31.0192990Z     del arg0_1
2022-11-23T01:32:31.0193067Z     return (buf3, )
2022-11-23T01:32:31.0193072Z 
2022-11-23T01:32:31.0193077Z 
2022-11-23T01:32:31.0193159Z if __name__ == "__main__":
2022-11-23T01:32:31.0193281Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0193414Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0193617Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0193827Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0194034Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0194243Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0194380Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:31.0194386Z 
2022-11-23T01:32:31.0194458Z ok (0.112s)
2022-11-23T01:32:31.0194781Z   test_cat_upcasting_cuda (__main__.CudaTests) ... [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0195104Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0195332Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0195584Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0195862Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0196178Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0196525Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0196853Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0197232Z [2022-11-23 01:29:13,908] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567> 
2022-11-23T01:32:31.0197335Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0197435Z                2 LOAD_ATTR                1 (cat)
2022-11-23T01:32:31.0197541Z                4 LOAD_METHOD              2 (default)
2022-11-23T01:32:31.0197634Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T01:32:31.0197735Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T01:32:31.0197831Z               10 BUILD_LIST               2
2022-11-23T01:32:31.0197935Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0198030Z               14 CALL_METHOD              2
2022-11-23T01:32:31.0198129Z               16 STORE_FAST               2 (cat_1)
2022-11-23T01:32:31.0198134Z 
2022-11-23T01:32:31.0198261Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T01:32:31.0198377Z               20 BUILD_TUPLE              1
2022-11-23T01:32:31.0198451Z               22 RETURN_VALUE
2022-11-23T01:32:31.0198516Z  
2022-11-23T01:32:31.0198522Z 
2022-11-23T01:32:31.0198837Z [2022-11-23 01:29:13,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568
2022-11-23T01:32:31.0199061Z [2022-11-23 01:29:13,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0199366Z [2022-11-23 01:29:13,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0199624Z [2022-11-23 01:29:13,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T01:32:31.0199893Z [2022-11-23 01:29:13,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T01:32:31.0200195Z [2022-11-23 01:29:13,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T01:32:31.0200517Z [2022-11-23 01:29:13,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0200800Z [2022-11-23 01:29:13,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T01:32:31.0201132Z [2022-11-23 01:29:13,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0201382Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T01:32:31.0201701Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569
2022-11-23T01:32:31.0201926Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T01:32:31.0202175Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.0202421Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0202800Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567>
2022-11-23T01:32:31.0203051Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0203291Z [2022-11-23 01:29:13,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0203544Z [2022-11-23 01:29:13,917] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0203799Z [2022-11-23 01:29:13,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0203994Z [2022-11-23 01:29:13,920] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0204136Z  __compiled_fn_412 <eval_with_key>.2548 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0204232Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0204323Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0204466Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T01:32:31.0204580Z output, output, output, ((cat_default,),), {}
2022-11-23T01:32:31.0204586Z 
2022-11-23T01:32:31.0204903Z [2022-11-23 01:29:13,920] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0205006Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0205133Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0205228Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0205349Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0205443Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0205538Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0205620Z              12 RETURN_VALUE
2022-11-23T01:32:31.0205626Z 
2022-11-23T01:32:31.0205684Z  
2022-11-23T01:32:31.0206000Z [2022-11-23 01:29:13,920] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0206117Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_412)
2022-11-23T01:32:31.0206214Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0206310Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0206393Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0206488Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0206576Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0206660Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0206754Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.0206868Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0206977Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0207072Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0207153Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0207239Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.0207321Z              26 RETURN_VALUE
2022-11-23T01:32:31.0207326Z 
2022-11-23T01:32:31.0207391Z  
2022-11-23T01:32:31.0207576Z [2022-11-23 01:29:13,921] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0207652Z  - 
2022-11-23T01:32:31.0207777Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0207851Z             {
2022-11-23T01:32:31.0207999Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0208185Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0208310Z                 'obj_weakref': None
2022-11-23T01:32:31.0208533Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0208602Z             }
2022-11-23T01:32:31.0208673Z             
2022-11-23T01:32:31.0208748Z  - 
2022-11-23T01:32:31.0208879Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0208940Z             {
2022-11-23T01:32:31.0209087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0209198Z                 'code': None,
2022-11-23T01:32:31.0209413Z                 'obj_weakref': <weakref at 0x7f1fd97e5260; to 'Tensor' at 0x7f1fe035a200>
2022-11-23T01:32:31.0209662Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0209731Z             }
2022-11-23T01:32:31.0209799Z             
2022-11-23T01:32:31.0209866Z  - 
2022-11-23T01:32:31.0209997Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0210068Z             {
2022-11-23T01:32:31.0210217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0210329Z                 'code': None,
2022-11-23T01:32:31.0210544Z                 'obj_weakref': <weakref at 0x7f1fd97da700; to 'Tensor' at 0x7f1fd9a00770>
2022-11-23T01:32:31.0210795Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0210857Z             }
2022-11-23T01:32:31.0210924Z             
2022-11-23T01:32:31.0211000Z  - 
2022-11-23T01:32:31.0211140Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0211212Z             {
2022-11-23T01:32:31.0211351Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0211526Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0211643Z                 'obj_weakref': None
2022-11-23T01:32:31.0211908Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0211998Z             }
2022-11-23T01:32:31.0212066Z             
2022-11-23T01:32:31.0212140Z  - 
2022-11-23T01:32:31.0212269Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0212331Z             {
2022-11-23T01:32:31.0212474Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0212698Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0212823Z                 'obj_weakref': None
2022-11-23T01:32:31.0213048Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0213116Z             }
2022-11-23T01:32:31.0213183Z             
2022-11-23T01:32:31.0213262Z  - 
2022-11-23T01:32:31.0213392Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0213460Z             {
2022-11-23T01:32:31.0213587Z                 'guard_types': None,
2022-11-23T01:32:31.0213703Z                 'code': None,
2022-11-23T01:32:31.0213829Z                 'obj_weakref': None
2022-11-23T01:32:31.0213957Z                 'guarded_class': None
2022-11-23T01:32:31.0214017Z             }
2022-11-23T01:32:31.0214084Z             
2022-11-23T01:32:31.0214351Z [2022-11-23 01:29:13,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402
2022-11-23T01:32:31.0214602Z [2022-11-23 01:29:13,930] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0214851Z [2022-11-23 01:29:13,934] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0215216Z [2022-11-23 01:29:14,106] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vppc5lolzj6eabhxdde5birnq6mz7t6om7dljuchzcsqife6ck.py
2022-11-23T01:32:31.0215481Z [2022-11-23 01:29:14,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402
2022-11-23T01:32:31.0215722Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0216037Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0216250Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0216511Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0216793Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0217112Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0217463Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0217790Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0218169Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567> 
2022-11-23T01:32:31.0218271Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0218371Z                2 LOAD_ATTR                1 (cat)
2022-11-23T01:32:31.0218478Z                4 LOAD_METHOD              2 (default)
2022-11-23T01:32:31.0218571Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T01:32:31.0218673Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T01:32:31.0218767Z               10 BUILD_LIST               2
2022-11-23T01:32:31.0219043Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0219194Z               14 CALL_METHOD              2
2022-11-23T01:32:31.0219322Z               16 STORE_FAST               2 (cat_1)
2022-11-23T01:32:31.0219327Z 
2022-11-23T01:32:31.0219429Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T01:32:31.0219517Z               20 BUILD_TUPLE              1
2022-11-23T01:32:31.0219600Z               22 RETURN_VALUE
2022-11-23T01:32:31.0219667Z  
2022-11-23T01:32:31.0219672Z 
2022-11-23T01:32:31.0219996Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568
2022-11-23T01:32:31.0220216Z [2022-11-23 01:29:14,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0220519Z [2022-11-23 01:29:14,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0220785Z [2022-11-23 01:29:14,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T01:32:31.0221063Z [2022-11-23 01:29:14,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T01:32:31.0221366Z [2022-11-23 01:29:14,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T01:32:31.0221682Z [2022-11-23 01:29:14,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0221974Z [2022-11-23 01:29:14,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T01:32:31.0222306Z [2022-11-23 01:29:14,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0222559Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T01:32:31.0222876Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569
2022-11-23T01:32:31.0223099Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T01:32:31.0223346Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.0223597Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0223978Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567>
2022-11-23T01:32:31.0224229Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0224470Z [2022-11-23 01:29:14,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0224722Z [2022-11-23 01:29:14,119] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0224978Z [2022-11-23 01:29:14,122] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0225174Z [2022-11-23 01:29:14,122] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0225318Z  __compiled_fn_413 <eval_with_key>.2554 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0225414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0225507Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0225650Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T01:32:31.0225755Z output, output, output, ((cat_default,),), {}
2022-11-23T01:32:31.0225768Z 
2022-11-23T01:32:31.0226117Z [2022-11-23 01:29:14,123] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0226237Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0226336Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0226429Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0226531Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0226625Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0226721Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0226796Z              12 RETURN_VALUE
2022-11-23T01:32:31.0226809Z 
2022-11-23T01:32:31.0226868Z  
2022-11-23T01:32:31.0227191Z [2022-11-23 01:29:14,123] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0227310Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_413)
2022-11-23T01:32:31.0227406Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0227506Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0227593Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0227691Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0227778Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0227859Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0227953Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.0228064Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0228174Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0228268Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0228350Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0228436Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.0228517Z              26 RETURN_VALUE
2022-11-23T01:32:31.0228522Z 
2022-11-23T01:32:31.0228588Z  
2022-11-23T01:32:31.0228773Z [2022-11-23 01:29:14,124] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0228849Z  - 
2022-11-23T01:32:31.0228976Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0229051Z             {
2022-11-23T01:32:31.0229188Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0229379Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0229504Z                 'obj_weakref': None
2022-11-23T01:32:31.0229733Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0229805Z             }
2022-11-23T01:32:31.0229874Z             
2022-11-23T01:32:31.0229951Z  - 
2022-11-23T01:32:31.0230071Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0230141Z             {
2022-11-23T01:32:31.0230526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0230653Z                 'code': None,
2022-11-23T01:32:31.0230869Z                 'obj_weakref': <weakref at 0x7f1fd97e6340; to 'Tensor' at 0x7f1fe0306110>
2022-11-23T01:32:31.0231123Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0231199Z             }
2022-11-23T01:32:31.0231262Z             
2022-11-23T01:32:31.0231341Z  - 
2022-11-23T01:32:31.0231469Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0231544Z             {
2022-11-23T01:32:31.0231695Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0231809Z                 'code': None,
2022-11-23T01:32:31.0232025Z                 'obj_weakref': <weakref at 0x7f1fd97da700; to 'Tensor' at 0x7f1fd9a00770>
2022-11-23T01:32:31.0232269Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0232340Z             }
2022-11-23T01:32:31.0232412Z             
2022-11-23T01:32:31.0232488Z  - 
2022-11-23T01:32:31.0232627Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0232697Z             {
2022-11-23T01:32:31.0232837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0233041Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0233216Z                 'obj_weakref': None
2022-11-23T01:32:31.0233447Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0233516Z             }
2022-11-23T01:32:31.0233587Z             
2022-11-23T01:32:31.0233664Z  - 
2022-11-23T01:32:31.0233790Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0233853Z             {
2022-11-23T01:32:31.0233994Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0234211Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0234335Z                 'obj_weakref': None
2022-11-23T01:32:31.0234560Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0234631Z             }
2022-11-23T01:32:31.0234700Z             
2022-11-23T01:32:31.0234769Z  - 
2022-11-23T01:32:31.0234910Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0234984Z             {
2022-11-23T01:32:31.0235110Z                 'guard_types': None,
2022-11-23T01:32:31.0235223Z                 'code': None,
2022-11-23T01:32:31.0235349Z                 'obj_weakref': None
2022-11-23T01:32:31.0235476Z                 'guarded_class': None
2022-11-23T01:32:31.0235539Z             }
2022-11-23T01:32:31.0235608Z             
2022-11-23T01:32:31.0235875Z [2022-11-23 01:29:14,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403
2022-11-23T01:32:31.0236128Z [2022-11-23 01:29:14,134] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0236373Z [2022-11-23 01:29:14,136] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0236734Z [2022-11-23 01:29:14,218] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i3/ci3j3f3ke7hz6y3qtubh55wloqrkoaeqxlh4hzcfvnxvjj6amtt2.py
2022-11-23T01:32:31.0237005Z [2022-11-23 01:29:14,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403
2022-11-23T01:32:31.0237014Z 
2022-11-23T01:32:31.0237115Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0237184Z import torch
2022-11-23T01:32:31.0237262Z import random
2022-11-23T01:32:31.0237387Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0237518Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0237523Z 
2022-11-23T01:32:31.0237608Z aten = torch.ops.aten
2022-11-23T01:32:31.0237749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0237848Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0237853Z 
2022-11-23T01:32:31.0237930Z import triton
2022-11-23T01:32:31.0238017Z import triton.language as tl
2022-11-23T01:32:31.0238145Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0238291Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0238297Z 
2022-11-23T01:32:31.0238304Z 
2022-11-23T01:32:31.0238462Z triton_fused_cat0 = async_compile.triton('''
2022-11-23T01:32:31.0238540Z import triton
2022-11-23T01:32:31.0238637Z import triton.language as tl
2022-11-23T01:32:31.0238756Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0238863Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0238993Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0239124Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0239129Z 
2022-11-23T01:32:31.0239504Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0239581Z @triton.jit
2022-11-23T01:32:31.0239719Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0239797Z     xnumel = 128
2022-11-23T01:32:31.0239932Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0240077Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0240167Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0240240Z     x2 = xindex
2022-11-23T01:32:31.0240319Z     x0 = xindex % 16
2022-11-23T01:32:31.0240402Z     x1 = (xindex // 16)
2022-11-23T01:32:31.0240504Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.0240649Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0240730Z ''')
2022-11-23T01:32:31.0240744Z 
2022-11-23T01:32:31.0240749Z 
2022-11-23T01:32:31.0240898Z triton_fused_cat1 = async_compile.triton('''
2022-11-23T01:32:31.0240976Z import triton
2022-11-23T01:32:31.0241070Z import triton.language as tl
2022-11-23T01:32:31.0241188Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0241292Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0241431Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0241559Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0241567Z 
2022-11-23T01:32:31.0241934Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0242009Z @triton.jit
2022-11-23T01:32:31.0242145Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0242220Z     xnumel = 160
2022-11-23T01:32:31.0242321Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0242456Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0242543Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0242616Z     x2 = xindex
2022-11-23T01:32:31.0242686Z     x0 = xindex % 20
2022-11-23T01:32:31.0242769Z     x1 = (xindex // 20)
2022-11-23T01:32:31.0242893Z     tmp0 = tl.load(in_ptr0 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.0242988Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.0243134Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.0243223Z ''')
2022-11-23T01:32:31.0243228Z 
2022-11-23T01:32:31.0243233Z 
2022-11-23T01:32:31.0243330Z async_compile.wait(globals())
2022-11-23T01:32:31.0243402Z del async_compile
2022-11-23T01:32:31.0243407Z 
2022-11-23T01:32:31.0243485Z def call(args):
2022-11-23T01:32:31.0243566Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.0243646Z     args.clear()
2022-11-23T01:32:31.0243848Z     buf2 = empty_strided((8, 36), (36, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0243959Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T01:32:31.0244053Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0244185Z     triton_fused_cat0.run(arg0_1, buf0, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.0244262Z     del arg0_1
2022-11-23T01:32:31.0244374Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T01:32:31.0244515Z     triton_fused_cat1.run(arg1_1, buf1, 160, grid=grid(160), stream=stream0)
2022-11-23T01:32:31.0244593Z     del arg1_1
2022-11-23T01:32:31.0244672Z     return (buf2, )
2022-11-23T01:32:31.0244678Z 
2022-11-23T01:32:31.0244682Z 
2022-11-23T01:32:31.0244766Z if __name__ == "__main__":
2022-11-23T01:32:31.0244889Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0245011Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0245215Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0245415Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0245538Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.0245543Z 
2022-11-23T01:32:31.0245548Z 
2022-11-23T01:32:31.0245649Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0245726Z import torch
2022-11-23T01:32:31.0245803Z import random
2022-11-23T01:32:31.0245956Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0246099Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0246105Z 
2022-11-23T01:32:31.0246189Z aten = torch.ops.aten
2022-11-23T01:32:31.0246330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0246429Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0246434Z 
2022-11-23T01:32:31.0246512Z import triton
2022-11-23T01:32:31.0246607Z import triton.language as tl
2022-11-23T01:32:31.0246735Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0246871Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0246884Z 
2022-11-23T01:32:31.0246889Z 
2022-11-23T01:32:31.0247037Z triton_fused_cat0 = async_compile.triton('''
2022-11-23T01:32:31.0247114Z import triton
2022-11-23T01:32:31.0247210Z import triton.language as tl
2022-11-23T01:32:31.0247327Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0247439Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0247576Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0247708Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0247714Z 
2022-11-23T01:32:31.0248082Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0248151Z @triton.jit
2022-11-23T01:32:31.0248288Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0248366Z     xnumel = 128
2022-11-23T01:32:31.0248467Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0248598Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0248685Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0248759Z     x2 = xindex
2022-11-23T01:32:31.0248830Z     x0 = xindex % 16
2022-11-23T01:32:31.0248913Z     x1 = (xindex // 16)
2022-11-23T01:32:31.0249038Z     tmp0 = tl.load(in_ptr0 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.0249185Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0249274Z ''')
2022-11-23T01:32:31.0249280Z 
2022-11-23T01:32:31.0249284Z 
2022-11-23T01:32:31.0249439Z triton_fused_cat1 = async_compile.triton('''
2022-11-23T01:32:31.0249515Z import triton
2022-11-23T01:32:31.0249602Z import triton.language as tl
2022-11-23T01:32:31.0249717Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0249821Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0249958Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0250086Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0250091Z 
2022-11-23T01:32:31.0250462Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0250537Z @triton.jit
2022-11-23T01:32:31.0250675Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0250744Z     xnumel = 160
2022-11-23T01:32:31.0250845Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0250978Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0251064Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0251139Z     x2 = xindex
2022-11-23T01:32:31.0251219Z     x0 = xindex % 20
2022-11-23T01:32:31.0251301Z     x1 = (xindex // 20)
2022-11-23T01:32:31.0251415Z     tmp0 = tl.load(in_ptr0 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.0251563Z     tl.store(out_ptr0 + (x0 + (36*x1) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.0251651Z ''')
2022-11-23T01:32:31.0251656Z 
2022-11-23T01:32:31.0251661Z 
2022-11-23T01:32:31.0251756Z async_compile.wait(globals())
2022-11-23T01:32:31.0251835Z del async_compile
2022-11-23T01:32:31.0251840Z 
2022-11-23T01:32:31.0251946Z def call(args):
2022-11-23T01:32:31.0252032Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.0252129Z     args.clear()
2022-11-23T01:32:31.0252325Z     buf2 = empty_strided((8, 36), (36, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0252434Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T01:32:31.0252527Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0252665Z     triton_fused_cat0.run(arg0_1, buf0, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.0252744Z     del arg0_1
2022-11-23T01:32:31.0252855Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T01:32:31.0252999Z     triton_fused_cat1.run(arg1_1, buf1, 160, grid=grid(160), stream=stream0)
2022-11-23T01:32:31.0253066Z     del arg1_1
2022-11-23T01:32:31.0253144Z     return (buf2, )
2022-11-23T01:32:31.0253149Z 
2022-11-23T01:32:31.0253154Z 
2022-11-23T01:32:31.0253237Z if __name__ == "__main__":
2022-11-23T01:32:31.0253358Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0253491Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0253696Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0253896Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0254018Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.0254023Z 
2022-11-23T01:32:31.0254088Z ok (0.315s)
2022-11-23T01:32:31.0254396Z   test_cauchy_cuda (__main__.CudaTests) ... [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0254716Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0254937Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0255194Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0255472Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0255790Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0256135Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0256459Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0256843Z [2022-11-23 01:29:14,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357> 
2022-11-23T01:32:31.0256942Z  2358           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0257043Z                2 LOAD_METHOD              1 (sum)
2022-11-23T01:32:31.0257145Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0257249Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0257357Z                8 LOAD_METHOD              2 (unsqueeze)
2022-11-23T01:32:31.0257459Z               10 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0257608Z               12 LOAD_CONST               2 (-1)
2022-11-23T01:32:31.0257703Z               14 CALL_METHOD              2
2022-11-23T01:32:31.0257792Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:31.0257879Z               18 BINARY_SUBTRACT
2022-11-23T01:32:31.0257969Z               20 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.0258063Z               22 CALL_METHOD              1
2022-11-23T01:32:31.0258145Z               24 RETURN_VALUE
2022-11-23T01:32:31.0258212Z  
2022-11-23T01:32:31.0258218Z 
2022-11-23T01:32:31.0258563Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2358
2022-11-23T01:32:31.0259018Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0259395Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0259718Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0260077Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.0260583Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0261048Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0261534Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0262055Z [2022-11-23 01:29:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0262426Z [2022-11-23 01:29:14,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.0262842Z [2022-11-23 01:29:14,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0263232Z [2022-11-23 01:29:14,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.0263574Z [2022-11-23 01:29:14,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0263828Z [2022-11-23 01:29:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.0264206Z [2022-11-23 01:29:14,228] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357>
2022-11-23T01:32:31.0264462Z [2022-11-23 01:29:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.0264693Z [2022-11-23 01:29:14,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0264953Z [2022-11-23 01:29:14,229] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0265211Z [2022-11-23 01:29:14,233] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0265409Z [2022-11-23 01:29:14,233] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0265599Z  __compiled_fn_414 <eval_with_key>.2560 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0265720Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0265816Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0266070Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:31.0266256Z call_function, sub, <built-in function sub>, (unsqueeze, ex_1_), {}
2022-11-23T01:32:31.0266445Z call_function, truediv, <built-in function truediv>, (1, sub), {}
2022-11-23T01:32:31.0266676Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (truediv,), {}
2022-11-23T01:32:31.0266781Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:31.0266787Z 
2022-11-23T01:32:31.0267119Z [2022-11-23 01:29:14,233] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0267223Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0267324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0267422Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0267517Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0267610Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0267708Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0267793Z              12 RETURN_VALUE
2022-11-23T01:32:31.0267798Z 
2022-11-23T01:32:31.0267867Z  
2022-11-23T01:32:31.0268194Z [2022-11-23 01:29:14,233] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0268314Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_414)
2022-11-23T01:32:31.0268411Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0268503Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0268589Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0268687Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0268785Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0268872Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0268967Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.0269067Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.0269141Z              18 RETURN_VALUE
2022-11-23T01:32:31.0269147Z 
2022-11-23T01:32:31.0269214Z  
2022-11-23T01:32:31.0269406Z [2022-11-23 01:29:14,234] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0269484Z  - 
2022-11-23T01:32:31.0269611Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0269683Z             {
2022-11-23T01:32:31.0269831Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0270017Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0270145Z                 'obj_weakref': None
2022-11-23T01:32:31.0270513Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0270596Z             }
2022-11-23T01:32:31.0270668Z             
2022-11-23T01:32:31.0270751Z  - 
2022-11-23T01:32:31.0270882Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0270944Z             {
2022-11-23T01:32:31.0271094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0271209Z                 'code': None,
2022-11-23T01:32:31.0271430Z                 'obj_weakref': <weakref at 0x7f1fd97ef510; to 'Tensor' at 0x7f1fd9b75df0>
2022-11-23T01:32:31.0271689Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0271757Z             }
2022-11-23T01:32:31.0271826Z             
2022-11-23T01:32:31.0271895Z  - 
2022-11-23T01:32:31.0272023Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0272093Z             {
2022-11-23T01:32:31.0272243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0272360Z                 'code': None,
2022-11-23T01:32:31.0272615Z                 'obj_weakref': <weakref at 0x7f1fd97bbd80; to 'Tensor' at 0x7f1fe0306110>
2022-11-23T01:32:31.0272892Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0272961Z             }
2022-11-23T01:32:31.0273023Z             
2022-11-23T01:32:31.0273100Z  - 
2022-11-23T01:32:31.0273238Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0273307Z             {
2022-11-23T01:32:31.0273447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0273626Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0273745Z                 'obj_weakref': None
2022-11-23T01:32:31.0273978Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0274050Z             }
2022-11-23T01:32:31.0274118Z             
2022-11-23T01:32:31.0274195Z  - 
2022-11-23T01:32:31.0274322Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0274394Z             {
2022-11-23T01:32:31.0274529Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0274749Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0274874Z                 'obj_weakref': None
2022-11-23T01:32:31.0275100Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0275170Z             }
2022-11-23T01:32:31.0275239Z             
2022-11-23T01:32:31.0275316Z  - 
2022-11-23T01:32:31.0275448Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0275517Z             {
2022-11-23T01:32:31.0275644Z                 'guard_types': None,
2022-11-23T01:32:31.0275757Z                 'code': None,
2022-11-23T01:32:31.0275880Z                 'obj_weakref': None
2022-11-23T01:32:31.0276006Z                 'guarded_class': None
2022-11-23T01:32:31.0276076Z             }
2022-11-23T01:32:31.0276138Z             
2022-11-23T01:32:31.0276402Z [2022-11-23 01:29:14,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404
2022-11-23T01:32:31.0276659Z [2022-11-23 01:29:14,247] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0277023Z [2022-11-23 01:29:14,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2b/c2bimxe6ciyswoaczmzm3y3shkiy5wqscz2vs6ezm3bp34wkunfc.py
2022-11-23T01:32:31.0277290Z [2022-11-23 01:29:14,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404
2022-11-23T01:32:31.0277296Z 
2022-11-23T01:32:31.0277396Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0277473Z import torch
2022-11-23T01:32:31.0277551Z import random
2022-11-23T01:32:31.0277665Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0277794Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0277800Z 
2022-11-23T01:32:31.0277885Z aten = torch.ops.aten
2022-11-23T01:32:31.0278030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0278135Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0278140Z 
2022-11-23T01:32:31.0278215Z import triton
2022-11-23T01:32:31.0278315Z import triton.language as tl
2022-11-23T01:32:31.0278444Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0278580Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0278586Z 
2022-11-23T01:32:31.0278590Z 
2022-11-23T01:32:31.0278801Z triton_fused_sum_1_sub_unsqueeze_reciprocal_mul0 = async_compile.triton('''
2022-11-23T01:32:31.0278878Z import triton
2022-11-23T01:32:31.0278972Z import triton.language as tl
2022-11-23T01:32:31.0279089Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0279196Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0279329Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.0279459Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0279498Z 
2022-11-23T01:32:31.0279586Z @reduction(size_hints=[1, 1024],
2022-11-23T01:32:31.0279731Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.0279818Z               filename=__file__,
2022-11-23T01:32:31.0280162Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:31.0280238Z @triton.jit
2022-11-23T01:32:31.0280424Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.0280499Z     xnumel = 1
2022-11-23T01:32:31.0280568Z     rnumel = 1024
2022-11-23T01:32:31.0280667Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0280806Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.0280892Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0281014Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.0281137Z     _tmp6 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.0281247Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.0281339Z         rindex = roffset + rbase
2022-11-23T01:32:31.0281419Z         rmask = rindex < rnumel
2022-11-23T01:32:31.0281503Z         r1 = (rindex // 32)
2022-11-23T01:32:31.0281583Z         r0 = rindex % 32
2022-11-23T01:32:31.0281781Z         tmp0 = tl.load(in_ptr0 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.0281976Z         tmp1 = tl.load(in_ptr1 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.0282095Z         tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.0282193Z         tmp3 = 1 / tmp2
2022-11-23T01:32:31.0282266Z         tmp4 = 1
2022-11-23T01:32:31.0282363Z         tmp5 = tmp3 * tmp4
2022-11-23T01:32:31.0282496Z         _tmp6 = tl.where(xmask & rmask, _tmp6 + tmp5, _tmp6)
2022-11-23T01:32:31.0282613Z     tmp6 = tl.reshape(tl.sum(_tmp6, 1), [XBLOCK, 1])
2022-11-23T01:32:31.0282752Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp6, None)
2022-11-23T01:32:31.0282841Z ''')
2022-11-23T01:32:31.0282847Z 
2022-11-23T01:32:31.0282851Z 
2022-11-23T01:32:31.0282947Z async_compile.wait(globals())
2022-11-23T01:32:31.0283018Z del async_compile
2022-11-23T01:32:31.0283024Z 
2022-11-23T01:32:31.0283099Z def call(args):
2022-11-23T01:32:31.0283180Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.0283258Z     args.clear()
2022-11-23T01:32:31.0283447Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0283545Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0283732Z     triton_fused_sum_1_sub_unsqueeze_reciprocal_mul0.run(arg0_1, arg1_1, buf0, 1, 1024, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.0283799Z     del arg0_1
2022-11-23T01:32:31.0283873Z     del arg1_1
2022-11-23T01:32:31.0283949Z     return (buf0, )
2022-11-23T01:32:31.0283954Z 
2022-11-23T01:32:31.0283959Z 
2022-11-23T01:32:31.0284041Z if __name__ == "__main__":
2022-11-23T01:32:31.0284162Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0284294Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0284496Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0284693Z     arg1_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0284807Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.0284813Z 
2022-11-23T01:32:31.0284886Z ok (0.202s)
2022-11-23T01:32:31.0285193Z   test_clamp_cuda (__main__.CudaTests) ... [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0285514Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0285734Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0286021Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0286320Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0286637Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0286978Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0287302Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0287673Z [2022-11-23 01:29:14,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872> 
2022-11-23T01:32:31.0287774Z  873           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0287882Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:31.0288029Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T01:32:31.0288129Z               6 LOAD_CONST               2 (0.1)
2022-11-23T01:32:31.0288229Z               8 CALL_METHOD              2
2022-11-23T01:32:31.0288326Z              10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0288427Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:31.0288516Z              14 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0288608Z              16 CALL_METHOD              1
2022-11-23T01:32:31.0288706Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.0288802Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T01:32:31.0288896Z              22 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0288991Z              24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0289073Z              26 BINARY_ADD
2022-11-23T01:32:31.0289163Z              28 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0289312Z              30 LOAD_CONST               4 (('max',))
2022-11-23T01:32:31.0289410Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.0289504Z              34 BUILD_TUPLE              3
2022-11-23T01:32:31.0289587Z              36 RETURN_VALUE
2022-11-23T01:32:31.0289654Z  
2022-11-23T01:32:31.0289660Z 
2022-11-23T01:32:31.0289978Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873
2022-11-23T01:32:31.0290196Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.0290439Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:32:31.0290728Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:31.0291049Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T01:32:31.0291408Z [2022-11-23 01:29:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.0291651Z [2022-11-23 01:29:14,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.0291931Z [2022-11-23 01:29:14,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0292239Z [2022-11-23 01:29:14,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:31.0292617Z [2022-11-23 01:29:14,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:32:31.0292914Z [2022-11-23 01:29:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0293342Z [2022-11-23 01:29:14,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0293724Z [2022-11-23 01:29:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0294120Z [2022-11-23 01:29:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0294563Z [2022-11-23 01:29:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0294965Z [2022-11-23 01:29:14,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0295410Z [2022-11-23 01:29:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0295890Z [2022-11-23 01:29:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:31.0296188Z [2022-11-23 01:29:14,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0296441Z [2022-11-23 01:29:14,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0296813Z [2022-11-23 01:29:14,432] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872>
2022-11-23T01:32:31.0297058Z [2022-11-23 01:29:14,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0297295Z [2022-11-23 01:29:14,432] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0297552Z [2022-11-23 01:29:14,433] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0297809Z [2022-11-23 01:29:14,438] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0297995Z [2022-11-23 01:29:14,439] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0298142Z  __compiled_fn_415 <eval_with_key>.2566 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0298242Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0298337Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0298493Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T01:32:31.0298601Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T01:32:31.0298784Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.0299214Z call_function, clamp_2, <built-in method clamp of type object at 0x7f209c394c60>, (add,), {'max': 0}
2022-11-23T01:32:31.0299336Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T01:32:31.0299341Z 
2022-11-23T01:32:31.0299711Z [2022-11-23 01:29:14,439] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0299814Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0299938Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0300032Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0300132Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0300226Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0300322Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0300397Z              12 RETURN_VALUE
2022-11-23T01:32:31.0300403Z 
2022-11-23T01:32:31.0300469Z  
2022-11-23T01:32:31.0300790Z [2022-11-23 01:29:14,439] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0300910Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_415)
2022-11-23T01:32:31.0301007Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0301105Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0301194Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0301283Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0301377Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0301459Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0301552Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.0301667Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0301777Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0301874Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0301948Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0302058Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0302152Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0302233Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0302340Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0302437Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0302517Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.0302615Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.0302688Z              38 RETURN_VALUE
2022-11-23T01:32:31.0302694Z 
2022-11-23T01:32:31.0302760Z  
2022-11-23T01:32:31.0302948Z [2022-11-23 01:29:14,440] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0303026Z  - 
2022-11-23T01:32:31.0303151Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0303221Z             {
2022-11-23T01:32:31.0303366Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0303551Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0303675Z                 'obj_weakref': None
2022-11-23T01:32:31.0303904Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0303973Z             }
2022-11-23T01:32:31.0304044Z             
2022-11-23T01:32:31.0304124Z  - 
2022-11-23T01:32:31.0304256Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0304321Z             {
2022-11-23T01:32:31.0304469Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0304584Z                 'code': None,
2022-11-23T01:32:31.0304800Z                 'obj_weakref': <weakref at 0x7f1fd8c25df0; to 'Tensor' at 0x7f1fe0306110>
2022-11-23T01:32:31.0305050Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0305120Z             }
2022-11-23T01:32:31.0305190Z             
2022-11-23T01:32:31.0305258Z  - 
2022-11-23T01:32:31.0305390Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0305460Z             {
2022-11-23T01:32:31.0305607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0305719Z                 'code': None,
2022-11-23T01:32:31.0305932Z                 'obj_weakref': <weakref at 0x7f1fd8c25800; to 'Tensor' at 0x7f1fd9b75df0>
2022-11-23T01:32:31.0306218Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0306299Z             }
2022-11-23T01:32:31.0306367Z             
2022-11-23T01:32:31.0306443Z  - 
2022-11-23T01:32:31.0306581Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0306650Z             {
2022-11-23T01:32:31.0306792Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0306967Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0307085Z                 'obj_weakref': None
2022-11-23T01:32:31.0307318Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0307392Z             }
2022-11-23T01:32:31.0307460Z             
2022-11-23T01:32:31.0307535Z  - 
2022-11-23T01:32:31.0307662Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0307732Z             {
2022-11-23T01:32:31.0307868Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0308095Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0308223Z                 'obj_weakref': None
2022-11-23T01:32:31.0308450Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0308519Z             }
2022-11-23T01:32:31.0308589Z             
2022-11-23T01:32:31.0308666Z  - 
2022-11-23T01:32:31.0308798Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0308869Z             {
2022-11-23T01:32:31.0308996Z                 'guard_types': None,
2022-11-23T01:32:31.0309110Z                 'code': None,
2022-11-23T01:32:31.0309234Z                 'obj_weakref': None
2022-11-23T01:32:31.0309361Z                 'guarded_class': None
2022-11-23T01:32:31.0309431Z             }
2022-11-23T01:32:31.0309493Z             
2022-11-23T01:32:31.0309759Z [2022-11-23 01:29:14,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405
2022-11-23T01:32:31.0310099Z [2022-11-23 01:29:14,462] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.0310565Z [2022-11-23 01:29:14,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y6/cy6qoxawyiqxfl72kq3vz3mouncajfqjv6dgluntiuskxwzqyb6q.py
2022-11-23T01:32:31.0310873Z [2022-11-23 01:29:14,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405
2022-11-23T01:32:31.0311653Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0312022Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0312249Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0312512Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0312790Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0313111Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0313460Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0313785Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0314159Z [2022-11-23 01:29:14,637] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872> 
2022-11-23T01:32:31.0314297Z  873           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0314419Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:31.0314563Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T01:32:31.0314665Z               6 LOAD_CONST               2 (0.1)
2022-11-23T01:32:31.0314752Z               8 CALL_METHOD              2
2022-11-23T01:32:31.0314850Z              10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0314952Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:31.0315046Z              14 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0315141Z              16 CALL_METHOD              1
2022-11-23T01:32:31.0315242Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.0315335Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T01:32:31.0315421Z              22 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0315515Z              24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.0315594Z              26 BINARY_ADD
2022-11-23T01:32:31.0315691Z              28 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0315841Z              30 LOAD_CONST               4 (('max',))
2022-11-23T01:32:31.0315938Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.0316034Z              34 BUILD_TUPLE              3
2022-11-23T01:32:31.0316109Z              36 RETURN_VALUE
2022-11-23T01:32:31.0316181Z  
2022-11-23T01:32:31.0316186Z 
2022-11-23T01:32:31.0316505Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873
2022-11-23T01:32:31.0316725Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.0316977Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:32:31.0317262Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:31.0317583Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T01:32:31.0317943Z [2022-11-23 01:29:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.0318182Z [2022-11-23 01:29:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.0318456Z [2022-11-23 01:29:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0318756Z [2022-11-23 01:29:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:31.0319112Z [2022-11-23 01:29:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:32:31.0319391Z [2022-11-23 01:29:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0319821Z [2022-11-23 01:29:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0320200Z [2022-11-23 01:29:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0320605Z [2022-11-23 01:29:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0321071Z [2022-11-23 01:29:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0321492Z [2022-11-23 01:29:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0321944Z [2022-11-23 01:29:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0322424Z [2022-11-23 01:29:14,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:31.0322719Z [2022-11-23 01:29:14,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0322970Z [2022-11-23 01:29:14,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0323340Z [2022-11-23 01:29:14,644] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872>
2022-11-23T01:32:31.0323587Z [2022-11-23 01:29:14,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0323816Z [2022-11-23 01:29:14,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0324072Z [2022-11-23 01:29:14,645] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0324326Z [2022-11-23 01:29:14,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0324521Z [2022-11-23 01:29:14,651] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0324667Z  __compiled_fn_416 <eval_with_key>.2572 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0324765Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0324859Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0325020Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T01:32:31.0325121Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T01:32:31.0325306Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.0325554Z call_function, clamp_2, <built-in method clamp of type object at 0x7f209c394c60>, (add,), {'max': 0}
2022-11-23T01:32:31.0325683Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T01:32:31.0325689Z 
2022-11-23T01:32:31.0326020Z [2022-11-23 01:29:14,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0326125Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0326225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0326318Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0326412Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0326504Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0326598Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0326682Z              12 RETURN_VALUE
2022-11-23T01:32:31.0326688Z 
2022-11-23T01:32:31.0326756Z  
2022-11-23T01:32:31.0327086Z [2022-11-23 01:29:14,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0327208Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_416)
2022-11-23T01:32:31.0327304Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0327394Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0327479Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0327600Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0327725Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0327807Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0327901Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.0328015Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0328117Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0328213Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0328296Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0328408Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0328508Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0328590Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0328696Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0328784Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0328871Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.0328968Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.0329052Z              38 RETURN_VALUE
2022-11-23T01:32:31.0329058Z 
2022-11-23T01:32:31.0329123Z  
2022-11-23T01:32:31.0329311Z [2022-11-23 01:29:14,652] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0329388Z  - 
2022-11-23T01:32:31.0329505Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0329575Z             {
2022-11-23T01:32:31.0329720Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0329915Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.0330036Z                 'obj_weakref': None
2022-11-23T01:32:31.0330261Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0330331Z             }
2022-11-23T01:32:31.0330393Z             
2022-11-23T01:32:31.0330469Z  - 
2022-11-23T01:32:31.0330599Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0330672Z             {
2022-11-23T01:32:31.0330824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0330938Z                 'code': None,
2022-11-23T01:32:31.0331155Z                 'obj_weakref': <weakref at 0x7f1fd8c26ca0; to 'Tensor' at 0x7f1fd8c4b7e0>
2022-11-23T01:32:31.0331396Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0331467Z             }
2022-11-23T01:32:31.0331537Z             
2022-11-23T01:32:31.0331614Z  - 
2022-11-23T01:32:31.0331742Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0331815Z             {
2022-11-23T01:32:31.0331965Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0332070Z                 'code': None,
2022-11-23T01:32:31.0332286Z                 'obj_weakref': <weakref at 0x7f1fd8c26fc0; to 'Tensor' at 0x7f1fd8c4bc40>
2022-11-23T01:32:31.0332543Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0332615Z             }
2022-11-23T01:32:31.0332684Z             
2022-11-23T01:32:31.0332759Z  - 
2022-11-23T01:32:31.0332898Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0332960Z             {
2022-11-23T01:32:31.0333101Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0333279Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0333404Z                 'obj_weakref': None
2022-11-23T01:32:31.0333635Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0333704Z             }
2022-11-23T01:32:31.0333773Z             
2022-11-23T01:32:31.0333841Z  - 
2022-11-23T01:32:31.0333966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0334037Z             {
2022-11-23T01:32:31.0334181Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0334435Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0334575Z                 'obj_weakref': None
2022-11-23T01:32:31.0334798Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0334860Z             }
2022-11-23T01:32:31.0334932Z             
2022-11-23T01:32:31.0335009Z  - 
2022-11-23T01:32:31.0335152Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0335223Z             {
2022-11-23T01:32:31.0335347Z                 'guard_types': None,
2022-11-23T01:32:31.0335458Z                 'code': None,
2022-11-23T01:32:31.0335573Z                 'obj_weakref': None
2022-11-23T01:32:31.0335700Z                 'guarded_class': None
2022-11-23T01:32:31.0335770Z             }
2022-11-23T01:32:31.0335838Z             
2022-11-23T01:32:31.0336101Z [2022-11-23 01:29:14,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406
2022-11-23T01:32:31.0336436Z [2022-11-23 01:29:14,674] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.0336807Z [2022-11-23 01:29:14,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cez5wjouzrsmbtw2upbz62x4rnh2henzphbki7rk6fnx3zrepnae.py
2022-11-23T01:32:31.0337070Z [2022-11-23 01:29:14,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406
2022-11-23T01:32:31.0337077Z 
2022-11-23T01:32:31.0337170Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0337246Z import torch
2022-11-23T01:32:31.0337323Z import random
2022-11-23T01:32:31.0337447Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0337576Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0337581Z 
2022-11-23T01:32:31.0337667Z aten = torch.ops.aten
2022-11-23T01:32:31.0337808Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0337901Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0337920Z 
2022-11-23T01:32:31.0337988Z import triton
2022-11-23T01:32:31.0338086Z import triton.language as tl
2022-11-23T01:32:31.0338215Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0338360Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0338366Z 
2022-11-23T01:32:31.0338371Z 
2022-11-23T01:32:31.0338690Z triton_fused_lift_fresh_copy_3_minimum_add_lift_fresh_copy_2_maximum_lift_fresh_copy_1_maximum_1_lift_fresh_copy_minimum_10 = async_compile.triton('''
2022-11-23T01:32:31.0338767Z import triton
2022-11-23T01:32:31.0339050Z import triton.language as tl
2022-11-23T01:32:31.0339170Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0339268Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0339405Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0339536Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0339541Z 
2022-11-23T01:32:31.0339967Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.0340045Z @triton.jit
2022-11-23T01:32:31.0340212Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0340289Z     xnumel = 64
2022-11-23T01:32:31.0340390Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0340516Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0340603Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0340675Z     x0 = xindex
2022-11-23T01:32:31.0340774Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.0340873Z     tmp5 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.0340992Z     tmp1 = -0.10000000149011612
2022-11-23T01:32:31.0341086Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:31.0341233Z     tmp3 = 0.10000000149011612
2022-11-23T01:32:31.0341329Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:31.0341432Z     tmp6 = 0.0
2022-11-23T01:32:31.0341524Z     tmp7 = tl.maximum(tmp5, tmp6)
2022-11-23T01:32:31.0341607Z     tmp8 = tmp0 + tmp5
2022-11-23T01:32:31.0341699Z     tmp9 = tl.minimum(tmp8, tmp6)
2022-11-23T01:32:31.0341839Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0341968Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0342104Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.0342192Z ''')
2022-11-23T01:32:31.0342197Z 
2022-11-23T01:32:31.0342202Z 
2022-11-23T01:32:31.0342297Z async_compile.wait(globals())
2022-11-23T01:32:31.0342377Z del async_compile
2022-11-23T01:32:31.0342382Z 
2022-11-23T01:32:31.0342457Z def call(args):
2022-11-23T01:32:31.0342538Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.0342608Z     args.clear()
2022-11-23T01:32:31.0342811Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0343010Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0343202Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0343296Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0343548Z     triton_fused_lift_fresh_copy_3_minimum_add_lift_fresh_copy_2_maximum_lift_fresh_copy_1_maximum_1_lift_fresh_copy_minimum_10.run(arg0_1, arg1_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.0343624Z     del arg0_1
2022-11-23T01:32:31.0343698Z     del arg1_1
2022-11-23T01:32:31.0343779Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.0343784Z 
2022-11-23T01:32:31.0343796Z 
2022-11-23T01:32:31.0343870Z if __name__ == "__main__":
2022-11-23T01:32:31.0343990Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0344120Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0344322Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0344523Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0344643Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.0344648Z 
2022-11-23T01:32:31.0344653Z 
2022-11-23T01:32:31.0344752Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0344828Z import torch
2022-11-23T01:32:31.0344898Z import random
2022-11-23T01:32:31.0345019Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0345146Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0345151Z 
2022-11-23T01:32:31.0345236Z aten = torch.ops.aten
2022-11-23T01:32:31.0345375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0345473Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0345479Z 
2022-11-23T01:32:31.0345555Z import triton
2022-11-23T01:32:31.0345641Z import triton.language as tl
2022-11-23T01:32:31.0345771Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0345918Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0345923Z 
2022-11-23T01:32:31.0345928Z 
2022-11-23T01:32:31.0346247Z triton_fused_lift_fresh_copy_1_maximum_1_minimum_lift_fresh_copy_3_minimum_1_add_lift_fresh_copy_2_lift_fresh_copy_maximum0 = async_compile.triton('''
2022-11-23T01:32:31.0346325Z import triton
2022-11-23T01:32:31.0346418Z import triton.language as tl
2022-11-23T01:32:31.0346534Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0346639Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0346766Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0346895Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0346900Z 
2022-11-23T01:32:31.0347346Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.0347450Z @triton.jit
2022-11-23T01:32:31.0347616Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0347693Z     xnumel = 64
2022-11-23T01:32:31.0347798Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0347930Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0348008Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0354757Z     x0 = xindex
2022-11-23T01:32:31.0354898Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.0355019Z     tmp5 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.0355158Z     tmp1 = -0.0999755859375
2022-11-23T01:32:31.0355257Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:31.0355335Z     tmp3 = 0.0999755859375
2022-11-23T01:32:31.0355422Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:31.0355502Z     tmp6 = 0.0
2022-11-23T01:32:31.0355594Z     tmp7 = tl.maximum(tmp5, tmp6)
2022-11-23T01:32:31.0355676Z     tmp8 = tmp0 + tmp5
2022-11-23T01:32:31.0355768Z     tmp9 = tl.minimum(tmp8, tmp6)
2022-11-23T01:32:31.0355912Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0356049Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0356176Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.0356264Z ''')
2022-11-23T01:32:31.0356270Z 
2022-11-23T01:32:31.0356275Z 
2022-11-23T01:32:31.0356369Z async_compile.wait(globals())
2022-11-23T01:32:31.0356449Z del async_compile
2022-11-23T01:32:31.0356454Z 
2022-11-23T01:32:31.0356528Z def call(args):
2022-11-23T01:32:31.0356609Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.0356686Z     args.clear()
2022-11-23T01:32:31.0356888Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0357080Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0357275Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0357367Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0357620Z     triton_fused_lift_fresh_copy_1_maximum_1_minimum_lift_fresh_copy_3_minimum_1_add_lift_fresh_copy_2_lift_fresh_copy_maximum0.run(arg0_1, arg1_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.0357694Z     del arg0_1
2022-11-23T01:32:31.0357766Z     del arg1_1
2022-11-23T01:32:31.0357858Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.0357863Z 
2022-11-23T01:32:31.0357867Z 
2022-11-23T01:32:31.0357948Z if __name__ == "__main__":
2022-11-23T01:32:31.0358061Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0358191Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0358390Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0358589Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0358712Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.0358717Z 
2022-11-23T01:32:31.0358790Z ok (0.324s)
2022-11-23T01:32:31.0359093Z   test_clone_cuda (__main__.CudaTests) ... [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0359414Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0359629Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0359891Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0360168Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0360552Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0360921Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0361248Z [2022-11-23 01:29:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0361626Z [2022-11-23 01:29:14,749] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447> 
2022-11-23T01:32:31.0361731Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0361829Z                2 LOAD_METHOD              1 (clone)
2022-11-23T01:32:31.0361926Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0362017Z                6 CALL_METHOD              1
2022-11-23T01:32:31.0362115Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0362194Z               10 BINARY_ADD
2022-11-23T01:32:31.0362294Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0362395Z               14 LOAD_METHOD              1 (clone)
2022-11-23T01:32:31.0362489Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0362583Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0362654Z               20 BINARY_ADD
2022-11-23T01:32:31.0362750Z               22 CALL_METHOD              1
2022-11-23T01:32:31.0362846Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.0362928Z               26 RETURN_VALUE
2022-11-23T01:32:31.0362994Z  
2022-11-23T01:32:31.0362999Z 
2022-11-23T01:32:31.0363320Z [2022-11-23 01:29:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448
2022-11-23T01:32:31.0363544Z [2022-11-23 01:29:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0363858Z [2022-11-23 01:29:14,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0364108Z [2022-11-23 01:29:14,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T01:32:31.0364400Z [2022-11-23 01:29:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0364642Z [2022-11-23 01:29:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.0364924Z [2022-11-23 01:29:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0365171Z [2022-11-23 01:29:14,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0365501Z [2022-11-23 01:29:14,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0365782Z [2022-11-23 01:29:14,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T01:32:31.0366087Z [2022-11-23 01:29:14,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0366432Z [2022-11-23 01:29:14,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0366740Z [2022-11-23 01:29:14,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0367027Z [2022-11-23 01:29:14,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0367297Z [2022-11-23 01:29:14,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0367679Z [2022-11-23 01:29:14,763] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447>
2022-11-23T01:32:31.0367925Z [2022-11-23 01:29:14,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0368163Z [2022-11-23 01:29:14,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0368420Z [2022-11-23 01:29:14,764] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0368673Z [2022-11-23 01:29:14,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0368869Z [2022-11-23 01:29:14,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0369011Z  __compiled_fn_417 <eval_with_key>.2578 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0369109Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0369216Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T01:32:31.0369394Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T01:32:31.0369575Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.0369690Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T01:32:31.0369800Z output, output, output, ((add, clone_1),), {}
2022-11-23T01:32:31.0369806Z 
2022-11-23T01:32:31.0370130Z [2022-11-23 01:29:14,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0370231Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0370327Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0370416Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0370515Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0370610Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0370705Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0370786Z              12 RETURN_VALUE
2022-11-23T01:32:31.0370791Z 
2022-11-23T01:32:31.0370857Z  
2022-11-23T01:32:31.0371174Z [2022-11-23 01:29:14,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0371283Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_417)
2022-11-23T01:32:31.0371383Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0371479Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0371563Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0371657Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0371771Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0371884Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0371975Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0372058Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0372167Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0372267Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0372353Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0372467Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0372554Z              26 RETURN_VALUE
2022-11-23T01:32:31.0372561Z 
2022-11-23T01:32:31.0372641Z  
2022-11-23T01:32:31.0372820Z [2022-11-23 01:29:14,769] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0372896Z  - 
2022-11-23T01:32:31.0373021Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0373091Z             {
2022-11-23T01:32:31.0373237Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0373459Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0373602Z                 'obj_weakref': None
2022-11-23T01:32:31.0373820Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0373890Z             }
2022-11-23T01:32:31.0373960Z             
2022-11-23T01:32:31.0374037Z  - 
2022-11-23T01:32:31.0374168Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0374236Z             {
2022-11-23T01:32:31.0374376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0374490Z                 'code': None,
2022-11-23T01:32:31.0374707Z                 'obj_weakref': <weakref at 0x7f1fd97d98f0; to 'Tensor' at 0x7f2151f009a0>
2022-11-23T01:32:31.0374959Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0375031Z             }
2022-11-23T01:32:31.0375105Z             
2022-11-23T01:32:31.0375180Z  - 
2022-11-23T01:32:31.0375318Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0375380Z             {
2022-11-23T01:32:31.0375528Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0375706Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0375832Z                 'obj_weakref': None
2022-11-23T01:32:31.0376067Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0376137Z             }
2022-11-23T01:32:31.0376204Z             
2022-11-23T01:32:31.0376273Z  - 
2022-11-23T01:32:31.0376402Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0376472Z             {
2022-11-23T01:32:31.0376614Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0376834Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0376957Z                 'obj_weakref': None
2022-11-23T01:32:31.0377187Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0377252Z             }
2022-11-23T01:32:31.0377321Z             
2022-11-23T01:32:31.0377396Z  - 
2022-11-23T01:32:31.0377533Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0377602Z             {
2022-11-23T01:32:31.0377727Z                 'guard_types': None,
2022-11-23T01:32:31.0377832Z                 'code': None,
2022-11-23T01:32:31.0377954Z                 'obj_weakref': None
2022-11-23T01:32:31.0378081Z                 'guarded_class': None
2022-11-23T01:32:31.0378149Z             }
2022-11-23T01:32:31.0378218Z             
2022-11-23T01:32:31.0378479Z [2022-11-23 01:29:14,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407
2022-11-23T01:32:31.0378771Z [2022-11-23 01:29:14,780] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0379355Z [2022-11-23 01:29:14,939] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tk/ctka3u6onxb3iotyjmrqwdagvvqylm72gqenn72y6ql4fylcmotn.py
2022-11-23T01:32:31.0379616Z [2022-11-23 01:29:14,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407
2022-11-23T01:32:31.0379853Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0380170Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0380390Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0380645Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0380926Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0381303Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0381691Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0382014Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0382388Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447> 
2022-11-23T01:32:31.0382485Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0382584Z                2 LOAD_METHOD              1 (clone)
2022-11-23T01:32:31.0382682Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0382779Z                6 CALL_METHOD              1
2022-11-23T01:32:31.0382878Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.0382961Z               10 BINARY_ADD
2022-11-23T01:32:31.0383062Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0383160Z               14 LOAD_METHOD              1 (clone)
2022-11-23T01:32:31.0383248Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0383343Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0383424Z               20 BINARY_ADD
2022-11-23T01:32:31.0383517Z               22 CALL_METHOD              1
2022-11-23T01:32:31.0383612Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.0383693Z               26 RETURN_VALUE
2022-11-23T01:32:31.0383760Z  
2022-11-23T01:32:31.0383765Z 
2022-11-23T01:32:31.0384074Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448
2022-11-23T01:32:31.0384296Z [2022-11-23 01:29:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0384602Z [2022-11-23 01:29:14,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0384854Z [2022-11-23 01:29:14,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T01:32:31.0385144Z [2022-11-23 01:29:14,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0385387Z [2022-11-23 01:29:14,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.0385669Z [2022-11-23 01:29:14,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0385918Z [2022-11-23 01:29:14,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0386253Z [2022-11-23 01:29:14,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0386538Z [2022-11-23 01:29:14,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T01:32:31.0386836Z [2022-11-23 01:29:14,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0387189Z [2022-11-23 01:29:14,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0387505Z [2022-11-23 01:29:14,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:31.0387776Z [2022-11-23 01:29:14,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0388056Z [2022-11-23 01:29:14,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0388455Z [2022-11-23 01:29:14,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447>
2022-11-23T01:32:31.0388704Z [2022-11-23 01:29:14,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0388946Z [2022-11-23 01:29:14,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0389205Z [2022-11-23 01:29:14,959] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0389460Z [2022-11-23 01:29:14,962] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0389646Z [2022-11-23 01:29:14,962] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0389795Z  __compiled_fn_418 <eval_with_key>.2584 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0389891Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0390005Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T01:32:31.0390187Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T01:32:31.0390563Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.0390693Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T01:32:31.0390806Z output, output, output, ((add, clone_1),), {}
2022-11-23T01:32:31.0390812Z 
2022-11-23T01:32:31.0391131Z [2022-11-23 01:29:14,963] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0391235Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0391332Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0391425Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0391527Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0391624Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0391720Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0391794Z              12 RETURN_VALUE
2022-11-23T01:32:31.0391807Z 
2022-11-23T01:32:31.0391866Z  
2022-11-23T01:32:31.0392185Z [2022-11-23 01:29:14,963] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0392304Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_418)
2022-11-23T01:32:31.0392399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0392495Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0392578Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0392675Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0392779Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0392891Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0392990Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0393074Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0393183Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0393278Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0393359Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0393445Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0393525Z              26 RETURN_VALUE
2022-11-23T01:32:31.0393530Z 
2022-11-23T01:32:31.0393597Z  
2022-11-23T01:32:31.0393784Z [2022-11-23 01:29:14,963] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0393862Z  - 
2022-11-23T01:32:31.0393986Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0394056Z             {
2022-11-23T01:32:31.0394193Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0394382Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0394541Z                 'obj_weakref': None
2022-11-23T01:32:31.0394787Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0394857Z             }
2022-11-23T01:32:31.0394926Z             
2022-11-23T01:32:31.0395002Z  - 
2022-11-23T01:32:31.0395124Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0395192Z             {
2022-11-23T01:32:31.0395339Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0395450Z                 'code': None,
2022-11-23T01:32:31.0395665Z                 'obj_weakref': <weakref at 0x7f1fd8c98040; to 'Tensor' at 0x7f2151f00950>
2022-11-23T01:32:31.0395918Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0395990Z             }
2022-11-23T01:32:31.0396064Z             
2022-11-23T01:32:31.0396131Z  - 
2022-11-23T01:32:31.0396268Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0396338Z             {
2022-11-23T01:32:31.0396483Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0396661Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0396785Z                 'obj_weakref': None
2022-11-23T01:32:31.0397009Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0397078Z             }
2022-11-23T01:32:31.0397146Z             
2022-11-23T01:32:31.0397226Z  - 
2022-11-23T01:32:31.0397351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0397420Z             {
2022-11-23T01:32:31.0397561Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0397773Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0397896Z                 'obj_weakref': None
2022-11-23T01:32:31.0398119Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0398190Z             }
2022-11-23T01:32:31.0398258Z             
2022-11-23T01:32:31.0398341Z  - 
2022-11-23T01:32:31.0398476Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0398537Z             {
2022-11-23T01:32:31.0398660Z                 'guard_types': None,
2022-11-23T01:32:31.0398771Z                 'code': None,
2022-11-23T01:32:31.0398894Z                 'obj_weakref': None
2022-11-23T01:32:31.0399019Z                 'guarded_class': None
2022-11-23T01:32:31.0399087Z             }
2022-11-23T01:32:31.0399155Z             
2022-11-23T01:32:31.0399409Z [2022-11-23 01:29:14,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408
2022-11-23T01:32:31.0399698Z [2022-11-23 01:29:14,975] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0400065Z [2022-11-23 01:29:15,040] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3l/c3lvzoncjankah7soqblpfiqlcpcbetky6gijeh7ugivo3y252ch.py
2022-11-23T01:32:31.0400331Z [2022-11-23 01:29:15,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408
2022-11-23T01:32:31.0400339Z 
2022-11-23T01:32:31.0400439Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0400513Z import torch
2022-11-23T01:32:31.0400588Z import random
2022-11-23T01:32:31.0400712Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0400832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0400845Z 
2022-11-23T01:32:31.0400921Z aten = torch.ops.aten
2022-11-23T01:32:31.0401062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0401159Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0401164Z 
2022-11-23T01:32:31.0401241Z import triton
2022-11-23T01:32:31.0401335Z import triton.language as tl
2022-11-23T01:32:31.0401463Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0401638Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0401645Z 
2022-11-23T01:32:31.0401670Z 
2022-11-23T01:32:31.0401861Z triton_fused_clone_add_add_1_clone_10 = async_compile.triton('''
2022-11-23T01:32:31.0401929Z import triton
2022-11-23T01:32:31.0402026Z import triton.language as tl
2022-11-23T01:32:31.0402159Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0402275Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0402436Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0402563Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0402568Z 
2022-11-23T01:32:31.0402960Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.0403027Z @triton.jit
2022-11-23T01:32:31.0403172Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0403249Z     xnumel = 256
2022-11-23T01:32:31.0403349Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0403486Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0403570Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0403643Z     x0 = xindex
2022-11-23T01:32:31.0403733Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.0403807Z     tmp1 = 2
2022-11-23T01:32:31.0403885Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0403955Z     tmp3 = 1
2022-11-23T01:32:31.0404034Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:31.0404171Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0404308Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0404386Z ''')
2022-11-23T01:32:31.0404400Z 
2022-11-23T01:32:31.0404405Z 
2022-11-23T01:32:31.0404491Z async_compile.wait(globals())
2022-11-23T01:32:31.0404569Z del async_compile
2022-11-23T01:32:31.0404574Z 
2022-11-23T01:32:31.0404649Z def call(args):
2022-11-23T01:32:31.0404726Z     arg0_1, = args
2022-11-23T01:32:31.0404804Z     args.clear()
2022-11-23T01:32:31.0405006Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0405208Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0405292Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0405459Z     triton_fused_clone_add_add_1_clone_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.0405532Z     del arg0_1
2022-11-23T01:32:31.0405615Z     return (buf0, buf1, )
2022-11-23T01:32:31.0405620Z 
2022-11-23T01:32:31.0405625Z 
2022-11-23T01:32:31.0405706Z if __name__ == "__main__":
2022-11-23T01:32:31.0405825Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0405954Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0406162Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0406270Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0406279Z 
2022-11-23T01:32:31.0406292Z 
2022-11-23T01:32:31.0406384Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0406457Z import torch
2022-11-23T01:32:31.0406532Z import random
2022-11-23T01:32:31.0406652Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0406778Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0406784Z 
2022-11-23T01:32:31.0406865Z aten = torch.ops.aten
2022-11-23T01:32:31.0407004Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0407094Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0407099Z 
2022-11-23T01:32:31.0407172Z import triton
2022-11-23T01:32:31.0407266Z import triton.language as tl
2022-11-23T01:32:31.0407395Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0407539Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0407545Z 
2022-11-23T01:32:31.0407549Z 
2022-11-23T01:32:31.0407766Z triton_fused_clone_1_add_clone_add_10 = async_compile.triton('''
2022-11-23T01:32:31.0407862Z import triton
2022-11-23T01:32:31.0407957Z import triton.language as tl
2022-11-23T01:32:31.0408066Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0408171Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0408307Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0408436Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0408441Z 
2022-11-23T01:32:31.0408826Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.0408900Z @triton.jit
2022-11-23T01:32:31.0409047Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0409122Z     xnumel = 256
2022-11-23T01:32:31.0409216Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0409349Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0409439Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0409511Z     x0 = xindex
2022-11-23T01:32:31.0409630Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.0409701Z     tmp1 = 2
2022-11-23T01:32:31.0409774Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0409845Z     tmp3 = 1
2022-11-23T01:32:31.0409925Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:31.0410060Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0410196Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0410281Z ''')
2022-11-23T01:32:31.0410287Z 
2022-11-23T01:32:31.0410291Z 
2022-11-23T01:32:31.0410385Z async_compile.wait(globals())
2022-11-23T01:32:31.0410464Z del async_compile
2022-11-23T01:32:31.0410469Z 
2022-11-23T01:32:31.0410537Z def call(args):
2022-11-23T01:32:31.0410612Z     arg0_1, = args
2022-11-23T01:32:31.0410693Z     args.clear()
2022-11-23T01:32:31.0410896Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0411093Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0411185Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0411350Z     triton_fused_clone_1_add_clone_add_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.0411416Z     del arg0_1
2022-11-23T01:32:31.0411497Z     return (buf0, buf1, )
2022-11-23T01:32:31.0411503Z 
2022-11-23T01:32:31.0411507Z 
2022-11-23T01:32:31.0411590Z if __name__ == "__main__":
2022-11-23T01:32:31.0411711Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0411840Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0412042Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0412156Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0412163Z 
2022-11-23T01:32:31.0412236Z ok (0.297s)
2022-11-23T01:32:31.0412546Z   test_constant_pad_1d_cuda (__main__.CudaTests) ... [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0412861Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0413083Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0413341Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0413623Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0413973Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0414316Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0414657Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0415027Z [2022-11-23 01:29:15,045] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116> 
2022-11-23T01:32:31.0415130Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0415248Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0415339Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0415435Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0415531Z                8 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0415631Z               10 BUILD_LIST               2
2022-11-23T01:32:31.0415732Z               12 LOAD_CONST               3 (6.0)
2022-11-23T01:32:31.0415827Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0415832Z 
2022-11-23T01:32:31.0415931Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0416039Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0416132Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0416230Z               22 LOAD_CONST               4 (2)
2022-11-23T01:32:31.0416322Z               24 LOAD_CONST               5 (3)
2022-11-23T01:32:31.0416417Z               26 BUILD_LIST               2
2022-11-23T01:32:31.0416514Z               28 LOAD_CONST               6 (99.0)
2022-11-23T01:32:31.0416607Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0416612Z 
2022-11-23T01:32:31.0416704Z 3117          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0416782Z               34 RETURN_VALUE
2022-11-23T01:32:31.0416851Z  
2022-11-23T01:32:31.0416858Z 
2022-11-23T01:32:31.0417173Z [2022-11-23 01:29:15,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118
2022-11-23T01:32:31.0417392Z [2022-11-23 01:29:15,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0417712Z [2022-11-23 01:29:15,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0417980Z [2022-11-23 01:29:15,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0418276Z [2022-11-23 01:29:15,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0418610Z [2022-11-23 01:29:15,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0419164Z [2022-11-23 01:29:15,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0419488Z [2022-11-23 01:29:15,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0419838Z [2022-11-23 01:29:15,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0420148Z [2022-11-23 01:29:15,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119
2022-11-23T01:32:31.0420396Z [2022-11-23 01:29:15,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0420786Z [2022-11-23 01:29:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0421108Z [2022-11-23 01:29:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0421426Z [2022-11-23 01:29:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0421778Z [2022-11-23 01:29:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0422167Z [2022-11-23 01:29:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0422513Z [2022-11-23 01:29:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0422900Z [2022-11-23 01:29:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0423212Z [2022-11-23 01:29:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117
2022-11-23T01:32:31.0423479Z [2022-11-23 01:29:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0423717Z [2022-11-23 01:29:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0424090Z [2022-11-23 01:29:15,060] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116>
2022-11-23T01:32:31.0424339Z [2022-11-23 01:29:15,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0424575Z [2022-11-23 01:29:15,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0424830Z [2022-11-23 01:29:15,061] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0425080Z [2022-11-23 01:29:15,064] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0425272Z [2022-11-23 01:29:15,064] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0425413Z  __compiled_fn_419 <eval_with_key>.2590 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0425507Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0425648Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T01:32:31.0425799Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T01:32:31.0425942Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0425947Z 
2022-11-23T01:32:31.0426268Z [2022-11-23 01:29:15,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0426370Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0426467Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0426562Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0426661Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0426746Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0426842Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0426925Z              12 RETURN_VALUE
2022-11-23T01:32:31.0426930Z 
2022-11-23T01:32:31.0426995Z  
2022-11-23T01:32:31.0427348Z [2022-11-23 01:29:15,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0427495Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_419)
2022-11-23T01:32:31.0427594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0427693Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0427769Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0427864Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0427977Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0428088Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0428184Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0428267Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0428374Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0428462Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0428545Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0428640Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0428723Z              26 RETURN_VALUE
2022-11-23T01:32:31.0428729Z 
2022-11-23T01:32:31.0428796Z  
2022-11-23T01:32:31.0428987Z [2022-11-23 01:29:15,065] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0429063Z  - 
2022-11-23T01:32:31.0429181Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0429252Z             {
2022-11-23T01:32:31.0429398Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0429587Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0429710Z                 'obj_weakref': None
2022-11-23T01:32:31.0429935Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0430004Z             }
2022-11-23T01:32:31.0430066Z             
2022-11-23T01:32:31.0430143Z  - 
2022-11-23T01:32:31.0430453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0430533Z             {
2022-11-23T01:32:31.0430684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0430800Z                 'code': None,
2022-11-23T01:32:31.0431014Z                 'obj_weakref': <weakref at 0x7f1fd8c9b920; to 'Tensor' at 0x7f1fd9b75df0>
2022-11-23T01:32:31.0431257Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0431326Z             }
2022-11-23T01:32:31.0431396Z             
2022-11-23T01:32:31.0431474Z  - 
2022-11-23T01:32:31.0431612Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0431681Z             {
2022-11-23T01:32:31.0431827Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0431993Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0432116Z                 'obj_weakref': None
2022-11-23T01:32:31.0432344Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0432415Z             }
2022-11-23T01:32:31.0432488Z             
2022-11-23T01:32:31.0432565Z  - 
2022-11-23T01:32:31.0432689Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0432751Z             {
2022-11-23T01:32:31.0432891Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0433111Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0433233Z                 'obj_weakref': None
2022-11-23T01:32:31.0433455Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0433524Z             }
2022-11-23T01:32:31.0433591Z             
2022-11-23T01:32:31.0433659Z  - 
2022-11-23T01:32:31.0433794Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0433864Z             {
2022-11-23T01:32:31.0433987Z                 'guard_types': None,
2022-11-23T01:32:31.0434102Z                 'code': None,
2022-11-23T01:32:31.0434258Z                 'obj_weakref': None
2022-11-23T01:32:31.0434384Z                 'guarded_class': None
2022-11-23T01:32:31.0434471Z             }
2022-11-23T01:32:31.0434540Z             
2022-11-23T01:32:31.0434803Z [2022-11-23 01:29:15,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409
2022-11-23T01:32:31.0435054Z [2022-11-23 01:29:15,088] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0435300Z [2022-11-23 01:29:15,092] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0435660Z [2022-11-23 01:29:15,173] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vp/cvpzt5jggmiqb7mpvq4jv32uo5wny6c7yrg5hl2ru7fajiwoifln.py
2022-11-23T01:32:31.0435924Z [2022-11-23 01:29:15,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409
2022-11-23T01:32:31.0436163Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0436472Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0436694Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0436947Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0437226Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0437547Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0437891Z [2022-11-23 01:29:15,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0438212Z [2022-11-23 01:29:15,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0438583Z [2022-11-23 01:29:15,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116> 
2022-11-23T01:32:31.0438687Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0438806Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0438897Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0438995Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0439091Z                8 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0439188Z               10 BUILD_LIST               2
2022-11-23T01:32:31.0439288Z               12 LOAD_CONST               3 (6.0)
2022-11-23T01:32:31.0439382Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0439388Z 
2022-11-23T01:32:31.0439491Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0439610Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0439699Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0439795Z               22 LOAD_CONST               4 (2)
2022-11-23T01:32:31.0439889Z               24 LOAD_CONST               5 (3)
2022-11-23T01:32:31.0439982Z               26 BUILD_LIST               2
2022-11-23T01:32:31.0440086Z               28 LOAD_CONST               6 (99.0)
2022-11-23T01:32:31.0440179Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0440184Z 
2022-11-23T01:32:31.0440277Z 3117          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0440353Z               34 RETURN_VALUE
2022-11-23T01:32:31.0440419Z  
2022-11-23T01:32:31.0440424Z 
2022-11-23T01:32:31.0440766Z [2022-11-23 01:29:15,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118
2022-11-23T01:32:31.0440985Z [2022-11-23 01:29:15,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0441324Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0441591Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0441889Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0442220Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0442584Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0442904Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0443257Z [2022-11-23 01:29:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0443566Z [2022-11-23 01:29:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119
2022-11-23T01:32:31.0443812Z [2022-11-23 01:29:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0444157Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0444454Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0444772Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0445126Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0445514Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0445858Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0446245Z [2022-11-23 01:29:15,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0446557Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117
2022-11-23T01:32:31.0446825Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0447065Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0447445Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116>
2022-11-23T01:32:31.0447692Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0447958Z [2022-11-23 01:29:15,191] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0448271Z [2022-11-23 01:29:15,192] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0448527Z [2022-11-23 01:29:15,195] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0448723Z [2022-11-23 01:29:15,195] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0448864Z  __compiled_fn_420 <eval_with_key>.2596 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0448959Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0449099Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T01:32:31.0449247Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T01:32:31.0449391Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0449397Z 
2022-11-23T01:32:31.0449729Z [2022-11-23 01:29:15,196] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0449836Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0449932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0450027Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0450127Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0450212Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0450308Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0450391Z              12 RETURN_VALUE
2022-11-23T01:32:31.0450396Z 
2022-11-23T01:32:31.0450460Z  
2022-11-23T01:32:31.0450782Z [2022-11-23 01:29:15,196] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0450900Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_420)
2022-11-23T01:32:31.0451001Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0451102Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0451177Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0451271Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0451382Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0451492Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0451588Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0451669Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0451777Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0451865Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0451946Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0452039Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0452119Z              26 RETURN_VALUE
2022-11-23T01:32:31.0452124Z 
2022-11-23T01:32:31.0452190Z  
2022-11-23T01:32:31.0452380Z [2022-11-23 01:29:15,197] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0452457Z  - 
2022-11-23T01:32:31.0452573Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0452644Z             {
2022-11-23T01:32:31.0452788Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0452980Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0453106Z                 'obj_weakref': None
2022-11-23T01:32:31.0453333Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0453401Z             }
2022-11-23T01:32:31.0453471Z             
2022-11-23T01:32:31.0453539Z  - 
2022-11-23T01:32:31.0453667Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0453738Z             {
2022-11-23T01:32:31.0453886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0453998Z                 'code': None,
2022-11-23T01:32:31.0454256Z                 'obj_weakref': <weakref at 0x7f1fd8ccd490; to 'Tensor' at 0x7f1fd8c49210>
2022-11-23T01:32:31.0454528Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0454589Z             }
2022-11-23T01:32:31.0454659Z             
2022-11-23T01:32:31.0454735Z  - 
2022-11-23T01:32:31.0454871Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0454940Z             {
2022-11-23T01:32:31.0455081Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0455250Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0455377Z                 'obj_weakref': None
2022-11-23T01:32:31.0455611Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0455681Z             }
2022-11-23T01:32:31.0455749Z             
2022-11-23T01:32:31.0455825Z  - 
2022-11-23T01:32:31.0455951Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0456013Z             {
2022-11-23T01:32:31.0456156Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0456380Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0456504Z                 'obj_weakref': None
2022-11-23T01:32:31.0456733Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0456801Z             }
2022-11-23T01:32:31.0456869Z             
2022-11-23T01:32:31.0456936Z  - 
2022-11-23T01:32:31.0457074Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0457145Z             {
2022-11-23T01:32:31.0457270Z                 'guard_types': None,
2022-11-23T01:32:31.0457384Z                 'code': None,
2022-11-23T01:32:31.0457506Z                 'obj_weakref': None
2022-11-23T01:32:31.0457633Z                 'guarded_class': None
2022-11-23T01:32:31.0457694Z             }
2022-11-23T01:32:31.0457764Z             
2022-11-23T01:32:31.0458026Z [2022-11-23 01:29:15,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410
2022-11-23T01:32:31.0458282Z [2022-11-23 01:29:15,224] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0458533Z [2022-11-23 01:29:15,227] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0459018Z [2022-11-23 01:29:15,323] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k3/ck3dvzbkm5skn2dppdh3n73yw6b5s7cdh3vbcnutl655zjdkpgml.py
2022-11-23T01:32:31.0459287Z [2022-11-23 01:29:15,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410
2022-11-23T01:32:31.0459293Z 
2022-11-23T01:32:31.0459395Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0459471Z import torch
2022-11-23T01:32:31.0459538Z import random
2022-11-23T01:32:31.0459661Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0459789Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0459797Z 
2022-11-23T01:32:31.0459879Z aten = torch.ops.aten
2022-11-23T01:32:31.0460022Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0460121Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0460126Z 
2022-11-23T01:32:31.0460205Z import triton
2022-11-23T01:32:31.0460290Z import triton.language as tl
2022-11-23T01:32:31.0460418Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0460562Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0460568Z 
2022-11-23T01:32:31.0460572Z 
2022-11-23T01:32:31.0460749Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0460824Z import triton
2022-11-23T01:32:31.0460916Z import triton.language as tl
2022-11-23T01:32:31.0461034Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0461137Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0461267Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0461447Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0461475Z 
2022-11-23T01:32:31.0461855Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0461929Z @triton.jit
2022-11-23T01:32:31.0462065Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0462141Z     xnumel = 1024
2022-11-23T01:32:31.0462244Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0462376Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0462454Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0462530Z     x0 = xindex % 32
2022-11-23T01:32:31.0462611Z     x1 = (xindex // 32)
2022-11-23T01:32:31.0462685Z     x2 = xindex
2022-11-23T01:32:31.0462757Z     tmp0 = x0
2022-11-23T01:32:31.0462829Z     tmp1 = 31
2022-11-23T01:32:31.0462901Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.0463063Z     tmp3 = tl.load(in_ptr0 + (x0 + (31*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp2, other=0)
2022-11-23T01:32:31.0463160Z     tmp4 = tl.where(tmp2, tmp3, 6.0)
2022-11-23T01:32:31.0463299Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0463387Z ''')
2022-11-23T01:32:31.0463392Z 
2022-11-23T01:32:31.0463397Z 
2022-11-23T01:32:31.0463576Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0463653Z import triton
2022-11-23T01:32:31.0463747Z import triton.language as tl
2022-11-23T01:32:31.0463856Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0463959Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0464095Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0464225Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0464231Z 
2022-11-23T01:32:31.0464605Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0464682Z @triton.jit
2022-11-23T01:32:31.0464818Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0464892Z     xnumel = 1152
2022-11-23T01:32:31.0464984Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0465115Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0465202Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0465277Z     x0 = xindex % 36
2022-11-23T01:32:31.0465356Z     x1 = (xindex // 36)
2022-11-23T01:32:31.0465426Z     x2 = xindex
2022-11-23T01:32:31.0465531Z     tmp0 = (-2) + x0
2022-11-23T01:32:31.0465595Z     tmp1 = 0
2022-11-23T01:32:31.0465675Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0465747Z     tmp3 = 31
2022-11-23T01:32:31.0465826Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0465903Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.0466145Z     tmp6 = tl.load(in_ptr0 + ((-2) + x0 + (31*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0)
2022-11-23T01:32:31.0466244Z     tmp7 = tl.where(tmp5, tmp6, 99.0)
2022-11-23T01:32:31.0466373Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0466459Z ''')
2022-11-23T01:32:31.0466464Z 
2022-11-23T01:32:31.0466469Z 
2022-11-23T01:32:31.0466563Z async_compile.wait(globals())
2022-11-23T01:32:31.0466641Z del async_compile
2022-11-23T01:32:31.0466646Z 
2022-11-23T01:32:31.0466722Z def call(args):
2022-11-23T01:32:31.0466796Z     arg0_1, = args
2022-11-23T01:32:31.0466872Z     args.clear()
2022-11-23T01:32:31.0467077Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0467169Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0467327Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.0467568Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0467730Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 1152, grid=grid(1152), stream=stream0)
2022-11-23T01:32:31.0467828Z     del arg0_1
2022-11-23T01:32:31.0467913Z     return (buf0, buf1, )
2022-11-23T01:32:31.0467918Z 
2022-11-23T01:32:31.0467923Z 
2022-11-23T01:32:31.0468003Z if __name__ == "__main__":
2022-11-23T01:32:31.0468116Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0468248Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0468463Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0468578Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0468583Z 
2022-11-23T01:32:31.0468588Z 
2022-11-23T01:32:31.0468687Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0468761Z import torch
2022-11-23T01:32:31.0468837Z import random
2022-11-23T01:32:31.0468959Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0469080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0469087Z 
2022-11-23T01:32:31.0469172Z aten = torch.ops.aten
2022-11-23T01:32:31.0469312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0469411Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0469416Z 
2022-11-23T01:32:31.0469490Z import triton
2022-11-23T01:32:31.0469584Z import triton.language as tl
2022-11-23T01:32:31.0469711Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0469848Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0469861Z 
2022-11-23T01:32:31.0469865Z 
2022-11-23T01:32:31.0470034Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0470110Z import triton
2022-11-23T01:32:31.0470204Z import triton.language as tl
2022-11-23T01:32:31.0470468Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0470588Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0470747Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0470895Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0470902Z 
2022-11-23T01:32:31.0471507Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0471575Z @triton.jit
2022-11-23T01:32:31.0471710Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0471786Z     xnumel = 1024
2022-11-23T01:32:31.0471886Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0472018Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0472103Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0472179Z     x0 = xindex % 32
2022-11-23T01:32:31.0472252Z     x1 = (xindex // 32)
2022-11-23T01:32:31.0472324Z     x2 = xindex
2022-11-23T01:32:31.0472396Z     tmp0 = x0
2022-11-23T01:32:31.0472474Z     tmp1 = 31
2022-11-23T01:32:31.0472556Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.0472757Z     tmp3 = tl.load(in_ptr0 + (x0 + (31*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp2, other=0).to(tl.float32)
2022-11-23T01:32:31.0472874Z     tmp4 = tl.where(tmp2, tmp3, 6.0)
2022-11-23T01:32:31.0473002Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.0473089Z ''')
2022-11-23T01:32:31.0473095Z 
2022-11-23T01:32:31.0473099Z 
2022-11-23T01:32:31.0473278Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0473352Z import triton
2022-11-23T01:32:31.0473445Z import triton.language as tl
2022-11-23T01:32:31.0473562Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0473665Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0473793Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0473921Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0473926Z 
2022-11-23T01:32:31.0474326Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0474453Z @triton.jit
2022-11-23T01:32:31.0474586Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0474665Z     xnumel = 1152
2022-11-23T01:32:31.0474763Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0474893Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0474969Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0475045Z     x0 = xindex % 36
2022-11-23T01:32:31.0475126Z     x1 = (xindex // 36)
2022-11-23T01:32:31.0475198Z     x2 = xindex
2022-11-23T01:32:31.0475304Z     tmp0 = (-2) + x0
2022-11-23T01:32:31.0475376Z     tmp1 = 0
2022-11-23T01:32:31.0475457Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0475522Z     tmp3 = 31
2022-11-23T01:32:31.0475601Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0475682Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.0475944Z     tmp6 = tl.load(in_ptr0 + ((-2) + x0 + (31*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0).to(tl.float32)
2022-11-23T01:32:31.0476042Z     tmp7 = tl.where(tmp5, tmp6, 99.0)
2022-11-23T01:32:31.0476177Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0476264Z ''')
2022-11-23T01:32:31.0476269Z 
2022-11-23T01:32:31.0476274Z 
2022-11-23T01:32:31.0476368Z async_compile.wait(globals())
2022-11-23T01:32:31.0476439Z del async_compile
2022-11-23T01:32:31.0476444Z 
2022-11-23T01:32:31.0476524Z def call(args):
2022-11-23T01:32:31.0476600Z     arg0_1, = args
2022-11-23T01:32:31.0476676Z     args.clear()
2022-11-23T01:32:31.0476886Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0476977Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0477130Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.0477333Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0477491Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 1152, grid=grid(1152), stream=stream0)
2022-11-23T01:32:31.0477564Z     del arg0_1
2022-11-23T01:32:31.0477648Z     return (buf0, buf1, )
2022-11-23T01:32:31.0477653Z 
2022-11-23T01:32:31.0477658Z 
2022-11-23T01:32:31.0477740Z if __name__ == "__main__":
2022-11-23T01:32:31.0477861Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0477990Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0478199Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0478306Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0478312Z 
2022-11-23T01:32:31.0478384Z ok (0.282s)
2022-11-23T01:32:31.0478707Z   test_constant_pad_2d_cuda (__main__.CudaTests) ... [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0479029Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0479251Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0479507Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0479784Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0480101Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0480443Z [2022-11-23 01:29:15,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0480801Z [2022-11-23 01:29:15,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0481180Z [2022-11-23 01:29:15,328] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125> 
2022-11-23T01:32:31.0481282Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0481401Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0481499Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0481594Z                6 BUILD_LIST               0
2022-11-23T01:32:31.0481699Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:31.0481793Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.0481890Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0481980Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0481985Z 
2022-11-23T01:32:31.0482088Z 3128          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0482203Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0482298Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0482391Z               22 BUILD_LIST               0
2022-11-23T01:32:31.0482494Z               24 LOAD_CONST               3 ((1, 2, 3, 4))
2022-11-23T01:32:31.0482587Z               26 LIST_EXTEND              1
2022-11-23T01:32:31.0482677Z               28 LOAD_CONST               4 (99.0)
2022-11-23T01:32:31.0482770Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0482775Z 
2022-11-23T01:32:31.0482868Z 3126          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0482949Z               34 RETURN_VALUE
2022-11-23T01:32:31.0483016Z  
2022-11-23T01:32:31.0483021Z 
2022-11-23T01:32:31.0483339Z [2022-11-23 01:29:15,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127
2022-11-23T01:32:31.0483561Z [2022-11-23 01:29:15,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0483879Z [2022-11-23 01:29:15,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0484145Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0484435Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0484761Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0485123Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0485444Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0485800Z [2022-11-23 01:29:15,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0486108Z [2022-11-23 01:29:15,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128
2022-11-23T01:32:31.0486352Z [2022-11-23 01:29:15,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0486697Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0487031Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0487366Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0487717Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0488098Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0488436Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0488820Z [2022-11-23 01:29:15,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0489135Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126
2022-11-23T01:32:31.0489404Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0489652Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0490024Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125>
2022-11-23T01:32:31.0490269Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0490508Z [2022-11-23 01:29:15,342] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0490765Z [2022-11-23 01:29:15,343] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0491014Z [2022-11-23 01:29:15,346] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0491201Z [2022-11-23 01:29:15,346] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0491343Z  __compiled_fn_421 <eval_with_key>.2602 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0491439Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0491592Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T01:32:31.0491740Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T01:32:31.0491880Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0491888Z 
2022-11-23T01:32:31.0492216Z [2022-11-23 01:29:15,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0492320Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0492420Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0492505Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0492605Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0492696Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0492790Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0492870Z              12 RETURN_VALUE
2022-11-23T01:32:31.0492875Z 
2022-11-23T01:32:31.0492940Z  
2022-11-23T01:32:31.0493268Z [2022-11-23 01:29:15,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0493405Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_421)
2022-11-23T01:32:31.0493521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0493618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0493700Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0493794Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0493907Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0494016Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0494113Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0494187Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0494294Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0494390Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0494473Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0494566Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0494649Z              26 RETURN_VALUE
2022-11-23T01:32:31.0494654Z 
2022-11-23T01:32:31.0494724Z  
2022-11-23T01:32:31.0494905Z [2022-11-23 01:29:15,347] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0494983Z  - 
2022-11-23T01:32:31.0495111Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0495181Z             {
2022-11-23T01:32:31.0495325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0495515Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0495639Z                 'obj_weakref': None
2022-11-23T01:32:31.0495857Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0495926Z             }
2022-11-23T01:32:31.0495994Z             
2022-11-23T01:32:31.0496074Z  - 
2022-11-23T01:32:31.0496202Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0496270Z             {
2022-11-23T01:32:31.0496417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0496522Z                 'code': None,
2022-11-23T01:32:31.0496741Z                 'obj_weakref': <weakref at 0x7f1fd8cc75b0; to 'Tensor' at 0x7f2151f00a40>
2022-11-23T01:32:31.0496993Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0497063Z             }
2022-11-23T01:32:31.0497133Z             
2022-11-23T01:32:31.0497207Z  - 
2022-11-23T01:32:31.0497343Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0497404Z             {
2022-11-23T01:32:31.0497543Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0497720Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0497844Z                 'obj_weakref': None
2022-11-23T01:32:31.0498077Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0498146Z             }
2022-11-23T01:32:31.0498214Z             
2022-11-23T01:32:31.0498282Z  - 
2022-11-23T01:32:31.0498413Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0498484Z             {
2022-11-23T01:32:31.0498627Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0499047Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0499176Z                 'obj_weakref': None
2022-11-23T01:32:31.0499401Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0499463Z             }
2022-11-23T01:32:31.0499529Z             
2022-11-23T01:32:31.0499605Z  - 
2022-11-23T01:32:31.0499742Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0499810Z             {
2022-11-23T01:32:31.0499935Z                 'guard_types': None,
2022-11-23T01:32:31.0500048Z                 'code': None,
2022-11-23T01:32:31.0500162Z                 'obj_weakref': None
2022-11-23T01:32:31.0500288Z                 'guarded_class': None
2022-11-23T01:32:31.0500357Z             }
2022-11-23T01:32:31.0500425Z             
2022-11-23T01:32:31.0500747Z [2022-11-23 01:29:15,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411
2022-11-23T01:32:31.0501025Z [2022-11-23 01:29:15,370] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0501275Z [2022-11-23 01:29:15,375] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0501637Z [2022-11-23 01:29:15,461] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qg/cqgsovjnffxlwplrt52ipjjc5rwykf3bgswrypwf35jyosvmtokp.py
2022-11-23T01:32:31.0501908Z [2022-11-23 01:29:15,462] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411
2022-11-23T01:32:31.0502171Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0502525Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0502749Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0503009Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0503291Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0503612Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0503959Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0504281Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0504654Z [2022-11-23 01:29:15,465] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125> 
2022-11-23T01:32:31.0504753Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0504869Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0504967Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0505061Z                6 BUILD_LIST               0
2022-11-23T01:32:31.0505168Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:31.0505261Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.0505359Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0505446Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0505451Z 
2022-11-23T01:32:31.0505551Z 3128          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0505663Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0505761Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0505860Z               22 BUILD_LIST               0
2022-11-23T01:32:31.0505966Z               24 LOAD_CONST               3 ((1, 2, 3, 4))
2022-11-23T01:32:31.0506058Z               26 LIST_EXTEND              1
2022-11-23T01:32:31.0506157Z               28 LOAD_CONST               4 (99.0)
2022-11-23T01:32:31.0506243Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0506249Z 
2022-11-23T01:32:31.0506344Z 3126          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0506427Z               34 RETURN_VALUE
2022-11-23T01:32:31.0506492Z  
2022-11-23T01:32:31.0506497Z 
2022-11-23T01:32:31.0506819Z [2022-11-23 01:29:15,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127
2022-11-23T01:32:31.0507040Z [2022-11-23 01:29:15,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0507396Z [2022-11-23 01:29:15,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0507686Z [2022-11-23 01:29:15,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0507986Z [2022-11-23 01:29:15,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0508309Z [2022-11-23 01:29:15,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0508675Z [2022-11-23 01:29:15,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0509001Z [2022-11-23 01:29:15,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0509368Z [2022-11-23 01:29:15,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0509683Z [2022-11-23 01:29:15,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128
2022-11-23T01:32:31.0509935Z [2022-11-23 01:29:15,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0510380Z [2022-11-23 01:29:15,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0510681Z [2022-11-23 01:29:15,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0511005Z [2022-11-23 01:29:15,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0511370Z [2022-11-23 01:29:15,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0511764Z [2022-11-23 01:29:15,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0512119Z [2022-11-23 01:29:15,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0512498Z [2022-11-23 01:29:15,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0512815Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126
2022-11-23T01:32:31.0513093Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0513343Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0513719Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125>
2022-11-23T01:32:31.0513968Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0514207Z [2022-11-23 01:29:15,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0514503Z [2022-11-23 01:29:15,481] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0514776Z [2022-11-23 01:29:15,484] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0514973Z [2022-11-23 01:29:15,484] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0515107Z  __compiled_fn_422 <eval_with_key>.2608 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0515203Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0515355Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T01:32:31.0515507Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T01:32:31.0515651Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0515657Z 
2022-11-23T01:32:31.0515988Z [2022-11-23 01:29:15,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0516091Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0516192Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0516279Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0516380Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0516471Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0516566Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0516646Z              12 RETURN_VALUE
2022-11-23T01:32:31.0516652Z 
2022-11-23T01:32:31.0516717Z  
2022-11-23T01:32:31.0517040Z [2022-11-23 01:29:15,484] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0517159Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_422)
2022-11-23T01:32:31.0517248Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0517347Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0517434Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0517530Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0517645Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0517754Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0517851Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0517926Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0518033Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0518129Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0518212Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0518306Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0518387Z              26 RETURN_VALUE
2022-11-23T01:32:31.0518393Z 
2022-11-23T01:32:31.0518457Z  
2022-11-23T01:32:31.0518639Z [2022-11-23 01:29:15,485] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0518714Z  - 
2022-11-23T01:32:31.0518840Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0518911Z             {
2022-11-23T01:32:31.0519059Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0519252Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0519376Z                 'obj_weakref': None
2022-11-23T01:32:31.0519603Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0519665Z             }
2022-11-23T01:32:31.0519734Z             
2022-11-23T01:32:31.0519809Z  - 
2022-11-23T01:32:31.0519939Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0520007Z             {
2022-11-23T01:32:31.0520155Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0520260Z                 'code': None,
2022-11-23T01:32:31.0520476Z                 'obj_weakref': <weakref at 0x7f1fd8312c50; to 'Tensor' at 0x7f1fead911c0>
2022-11-23T01:32:31.0520765Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0520836Z             }
2022-11-23T01:32:31.0520935Z             
2022-11-23T01:32:31.0521009Z  - 
2022-11-23T01:32:31.0521145Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0521207Z             {
2022-11-23T01:32:31.0521348Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0521526Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0521649Z                 'obj_weakref': None
2022-11-23T01:32:31.0521880Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0521952Z             }
2022-11-23T01:32:31.0522023Z             
2022-11-23T01:32:31.0522090Z  - 
2022-11-23T01:32:31.0522217Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0522287Z             {
2022-11-23T01:32:31.0522428Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0522650Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0522775Z                 'obj_weakref': None
2022-11-23T01:32:31.0523002Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0523072Z             }
2022-11-23T01:32:31.0523133Z             
2022-11-23T01:32:31.0523207Z  - 
2022-11-23T01:32:31.0523344Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0523412Z             {
2022-11-23T01:32:31.0523536Z                 'guard_types': None,
2022-11-23T01:32:31.0523647Z                 'code': None,
2022-11-23T01:32:31.0523762Z                 'obj_weakref': None
2022-11-23T01:32:31.0523888Z                 'guarded_class': None
2022-11-23T01:32:31.0523958Z             }
2022-11-23T01:32:31.0524026Z             
2022-11-23T01:32:31.0524290Z [2022-11-23 01:29:15,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412
2022-11-23T01:32:31.0524545Z [2022-11-23 01:29:15,502] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0524797Z [2022-11-23 01:29:15,506] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0525172Z [2022-11-23 01:29:15,591] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6r/c6rrlfcilkdcodbhr7gklzwh3strn5jtjpdabdw4cblldpsxndbj.py
2022-11-23T01:32:31.0525434Z [2022-11-23 01:29:15,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412
2022-11-23T01:32:31.0525449Z 
2022-11-23T01:32:31.0525542Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0525617Z import torch
2022-11-23T01:32:31.0525691Z import random
2022-11-23T01:32:31.0525813Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0525939Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0525944Z 
2022-11-23T01:32:31.0526028Z aten = torch.ops.aten
2022-11-23T01:32:31.0526167Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0526260Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0526269Z 
2022-11-23T01:32:31.0526344Z import triton
2022-11-23T01:32:31.0526437Z import triton.language as tl
2022-11-23T01:32:31.0526565Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0526708Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0526714Z 
2022-11-23T01:32:31.0526719Z 
2022-11-23T01:32:31.0526898Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0526976Z import triton
2022-11-23T01:32:31.0527071Z import triton.language as tl
2022-11-23T01:32:31.0527178Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0527283Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0527419Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0527547Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0527552Z 
2022-11-23T01:32:31.0527954Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0528046Z @triton.jit
2022-11-23T01:32:31.0528185Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0528262Z     xnumel = 100
2022-11-23T01:32:31.0528353Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0528489Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0528575Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0528657Z     x1 = (xindex // 10)
2022-11-23T01:32:31.0528737Z     x0 = xindex % 10
2022-11-23T01:32:31.0528809Z     x2 = xindex
2022-11-23T01:32:31.0528907Z     tmp0 = (-1) + x1
2022-11-23T01:32:31.0528978Z     tmp1 = 0
2022-11-23T01:32:31.0529058Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0529129Z     tmp3 = 8
2022-11-23T01:32:31.0529210Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0529316Z     tmp5 = (-1) + x0
2022-11-23T01:32:31.0529396Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0529469Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0529544Z     tmp8 = tmp2 & tmp4
2022-11-23T01:32:31.0529622Z     tmp9 = tmp8 & tmp6
2022-11-23T01:32:31.0529700Z     tmp10 = tmp9 & tmp7
2022-11-23T01:32:31.0529945Z     tmp11 = tl.load(in_ptr0 + ((-9) + x0 + (8*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:31.0530043Z     tmp12 = tl.where(tmp10, tmp11, 6.0)
2022-11-23T01:32:31.0530181Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.0530259Z ''')
2022-11-23T01:32:31.0530265Z 
2022-11-23T01:32:31.0530279Z 
2022-11-23T01:32:31.0530452Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0530527Z import triton
2022-11-23T01:32:31.0530625Z import triton.language as tl
2022-11-23T01:32:31.0530740Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0530844Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0530983Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0531105Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0531118Z 
2022-11-23T01:32:31.0531479Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0531554Z @triton.jit
2022-11-23T01:32:31.0531690Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0531765Z     xnumel = 165
2022-11-23T01:32:31.0531864Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0531998Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0532082Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0532155Z     x1 = (xindex // 11)
2022-11-23T01:32:31.0532231Z     x0 = xindex % 11
2022-11-23T01:32:31.0532301Z     x2 = xindex
2022-11-23T01:32:31.0532405Z     tmp0 = (-3) + x1
2022-11-23T01:32:31.0532478Z     tmp1 = 0
2022-11-23T01:32:31.0532558Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0532633Z     tmp3 = 8
2022-11-23T01:32:31.0532704Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0532808Z     tmp5 = (-1) + x0
2022-11-23T01:32:31.0532887Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0532964Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0533040Z     tmp8 = tmp2 & tmp4
2022-11-23T01:32:31.0533117Z     tmp9 = tmp8 & tmp6
2022-11-23T01:32:31.0533188Z     tmp10 = tmp9 & tmp7
2022-11-23T01:32:31.0533430Z     tmp11 = tl.load(in_ptr0 + ((-25) + x0 + (8*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:31.0533531Z     tmp12 = tl.where(tmp10, tmp11, 99.0)
2022-11-23T01:32:31.0533668Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.0533754Z ''')
2022-11-23T01:32:31.0533759Z 
2022-11-23T01:32:31.0533764Z 
2022-11-23T01:32:31.0533860Z async_compile.wait(globals())
2022-11-23T01:32:31.0533937Z del async_compile
2022-11-23T01:32:31.0533942Z 
2022-11-23T01:32:31.0534047Z def call(args):
2022-11-23T01:32:31.0534114Z     arg0_1, = args
2022-11-23T01:32:31.0534211Z     args.clear()
2022-11-23T01:32:31.0534437Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0534530Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0534685Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.0534904Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0535056Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 165, grid=grid(165), stream=stream0)
2022-11-23T01:32:31.0535129Z     del arg0_1
2022-11-23T01:32:31.0535204Z     return (buf0, buf1, )
2022-11-23T01:32:31.0535209Z 
2022-11-23T01:32:31.0535214Z 
2022-11-23T01:32:31.0535297Z if __name__ == "__main__":
2022-11-23T01:32:31.0535417Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0535548Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0535770Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0535887Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0535892Z 
2022-11-23T01:32:31.0535897Z 
2022-11-23T01:32:31.0535996Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0536070Z import torch
2022-11-23T01:32:31.0536137Z import random
2022-11-23T01:32:31.0536260Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0536386Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0536391Z 
2022-11-23T01:32:31.0536476Z aten = torch.ops.aten
2022-11-23T01:32:31.0536617Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0536713Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0536719Z 
2022-11-23T01:32:31.0536792Z import triton
2022-11-23T01:32:31.0536885Z import triton.language as tl
2022-11-23T01:32:31.0537008Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0537151Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0537159Z 
2022-11-23T01:32:31.0537164Z 
2022-11-23T01:32:31.0537342Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0537418Z import triton
2022-11-23T01:32:31.0537513Z import triton.language as tl
2022-11-23T01:32:31.0537629Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0537733Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0537862Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0537992Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0537997Z 
2022-11-23T01:32:31.0538369Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0538443Z @triton.jit
2022-11-23T01:32:31.0538581Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0538658Z     xnumel = 100
2022-11-23T01:32:31.0538759Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0539105Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0539183Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0539264Z     x1 = (xindex // 10)
2022-11-23T01:32:31.0539342Z     x0 = xindex % 10
2022-11-23T01:32:31.0539412Z     x2 = xindex
2022-11-23T01:32:31.0539520Z     tmp0 = (-1) + x1
2022-11-23T01:32:31.0539592Z     tmp1 = 0
2022-11-23T01:32:31.0539672Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0539735Z     tmp3 = 8
2022-11-23T01:32:31.0539813Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0539917Z     tmp5 = (-1) + x0
2022-11-23T01:32:31.0539997Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0540074Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0540151Z     tmp8 = tmp2 & tmp4
2022-11-23T01:32:31.0540221Z     tmp9 = tmp8 & tmp6
2022-11-23T01:32:31.0540300Z     tmp10 = tmp9 & tmp7
2022-11-23T01:32:31.0540616Z     tmp11 = tl.load(in_ptr0 + ((-9) + x0 + (8*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:31.0540740Z     tmp12 = tl.where(tmp10, tmp11, 6.0)
2022-11-23T01:32:31.0540885Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.0540974Z ''')
2022-11-23T01:32:31.0540980Z 
2022-11-23T01:32:31.0540984Z 
2022-11-23T01:32:31.0541165Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0541242Z import triton
2022-11-23T01:32:31.0541329Z import triton.language as tl
2022-11-23T01:32:31.0541448Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0541554Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0541689Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0541816Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0541821Z 
2022-11-23T01:32:31.0542191Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0542267Z @triton.jit
2022-11-23T01:32:31.0542400Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0542468Z     xnumel = 165
2022-11-23T01:32:31.0542566Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0542699Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0542783Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0542864Z     x1 = (xindex // 11)
2022-11-23T01:32:31.0542939Z     x0 = xindex % 11
2022-11-23T01:32:31.0543010Z     x2 = xindex
2022-11-23T01:32:31.0543108Z     tmp0 = (-3) + x1
2022-11-23T01:32:31.0543180Z     tmp1 = 0
2022-11-23T01:32:31.0543262Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0543335Z     tmp3 = 8
2022-11-23T01:32:31.0543413Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0543517Z     tmp5 = (-1) + x0
2022-11-23T01:32:31.0543592Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0543671Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0543752Z     tmp8 = tmp2 & tmp4
2022-11-23T01:32:31.0543828Z     tmp9 = tmp8 & tmp6
2022-11-23T01:32:31.0543908Z     tmp10 = tmp9 & tmp7
2022-11-23T01:32:31.0544171Z     tmp11 = tl.load(in_ptr0 + ((-25) + x0 + (8*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:31.0544272Z     tmp12 = tl.where(tmp10, tmp11, 99.0)
2022-11-23T01:32:31.0544403Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.0544489Z ''')
2022-11-23T01:32:31.0544494Z 
2022-11-23T01:32:31.0544499Z 
2022-11-23T01:32:31.0544594Z async_compile.wait(globals())
2022-11-23T01:32:31.0544670Z del async_compile
2022-11-23T01:32:31.0544675Z 
2022-11-23T01:32:31.0544753Z def call(args):
2022-11-23T01:32:31.0544826Z     arg0_1, = args
2022-11-23T01:32:31.0544901Z     args.clear()
2022-11-23T01:32:31.0545125Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0545209Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0545366Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.0545586Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0545740Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 165, grid=grid(165), stream=stream0)
2022-11-23T01:32:31.0545812Z     del arg0_1
2022-11-23T01:32:31.0545896Z     return (buf0, buf1, )
2022-11-23T01:32:31.0545902Z 
2022-11-23T01:32:31.0545906Z 
2022-11-23T01:32:31.0545987Z if __name__ == "__main__":
2022-11-23T01:32:31.0546107Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0546228Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0546445Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0546558Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0546595Z 
2022-11-23T01:32:31.0546669Z ok (0.268s)
2022-11-23T01:32:31.0547015Z   test_constant_pad_3d_cuda (__main__.CudaTests) ... [2022-11-23 01:29:15,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0547336Z [2022-11-23 01:29:15,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0547562Z [2022-11-23 01:29:15,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0547824Z [2022-11-23 01:29:15,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0548107Z [2022-11-23 01:29:15,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0548421Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0548760Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0549083Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0549454Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136> 
2022-11-23T01:32:31.0549558Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0549674Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0549771Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0549867Z                6 BUILD_LIST               0
2022-11-23T01:32:31.0549976Z                8 LOAD_CONST               1 ((1, 2, 3, 4, 5, 6))
2022-11-23T01:32:31.0550066Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.0550168Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0550351Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0550358Z 
2022-11-23T01:32:31.0550474Z 3139          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0550605Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0550701Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0550796Z               22 BUILD_LIST               0
2022-11-23T01:32:31.0550904Z               24 LOAD_CONST               3 ((0, 0, 3, 4, 0, 0))
2022-11-23T01:32:31.0550989Z               26 LIST_EXTEND              1
2022-11-23T01:32:31.0551087Z               28 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0551183Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0551189Z 
2022-11-23T01:32:31.0551280Z 3137          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0551364Z               34 RETURN_VALUE
2022-11-23T01:32:31.0551433Z  
2022-11-23T01:32:31.0551439Z 
2022-11-23T01:32:31.0551754Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138
2022-11-23T01:32:31.0551972Z [2022-11-23 01:29:15,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0552284Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0552551Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0552850Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0553233Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0553621Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0553940Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0554302Z [2022-11-23 01:29:15,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0554616Z [2022-11-23 01:29:15,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139
2022-11-23T01:32:31.0554864Z [2022-11-23 01:29:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0555216Z [2022-11-23 01:29:15,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0555516Z [2022-11-23 01:29:15,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0555825Z [2022-11-23 01:29:15,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0556182Z [2022-11-23 01:29:15,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0556565Z [2022-11-23 01:29:15,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0556910Z [2022-11-23 01:29:15,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0557301Z [2022-11-23 01:29:15,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0557615Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137
2022-11-23T01:32:31.0557889Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0558139Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0558519Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136>
2022-11-23T01:32:31.0558769Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0559010Z [2022-11-23 01:29:15,611] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0559261Z [2022-11-23 01:29:15,612] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0559516Z [2022-11-23 01:29:15,614] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0559711Z [2022-11-23 01:29:15,615] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0559857Z  __compiled_fn_423 <eval_with_key>.2614 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0559952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0560131Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T01:32:31.0560285Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T01:32:31.0560449Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0560455Z 
2022-11-23T01:32:31.0560786Z [2022-11-23 01:29:15,615] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0560880Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0560978Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0561073Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0561176Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0561267Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0561360Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0561441Z              12 RETURN_VALUE
2022-11-23T01:32:31.0561447Z 
2022-11-23T01:32:31.0561514Z  
2022-11-23T01:32:31.0561840Z [2022-11-23 01:29:15,615] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0561958Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_423)
2022-11-23T01:32:31.0562055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0562152Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0562236Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0562329Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0562444Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0562547Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0562644Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0562727Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0562834Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0562932Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0563013Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0563111Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0563184Z              26 RETURN_VALUE
2022-11-23T01:32:31.0563199Z 
2022-11-23T01:32:31.0563257Z  
2022-11-23T01:32:31.0563446Z [2022-11-23 01:29:15,616] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0563524Z  - 
2022-11-23T01:32:31.0563649Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0563719Z             {
2022-11-23T01:32:31.0563864Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0564048Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0564175Z                 'obj_weakref': None
2022-11-23T01:32:31.0564402Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0564477Z             }
2022-11-23T01:32:31.0564544Z             
2022-11-23T01:32:31.0564620Z  - 
2022-11-23T01:32:31.0564753Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0564818Z             {
2022-11-23T01:32:31.0564967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0565081Z                 'code': None,
2022-11-23T01:32:31.0565297Z                 'obj_weakref': <weakref at 0x7f1fd83382c0; to 'Tensor' at 0x7f1fd97e44f0>
2022-11-23T01:32:31.0565549Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0565618Z             }
2022-11-23T01:32:31.0565686Z             
2022-11-23T01:32:31.0565754Z  - 
2022-11-23T01:32:31.0565890Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0565962Z             {
2022-11-23T01:32:31.0566102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0566276Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0566400Z                 'obj_weakref': None
2022-11-23T01:32:31.0566665Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0566767Z             }
2022-11-23T01:32:31.0566829Z             
2022-11-23T01:32:31.0566905Z  - 
2022-11-23T01:32:31.0567031Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0567101Z             {
2022-11-23T01:32:31.0567241Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0567458Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0567573Z                 'obj_weakref': None
2022-11-23T01:32:31.0567795Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0567864Z             }
2022-11-23T01:32:31.0567934Z             
2022-11-23T01:32:31.0568009Z  - 
2022-11-23T01:32:31.0568143Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0568213Z             {
2022-11-23T01:32:31.0568330Z                 'guard_types': None,
2022-11-23T01:32:31.0568450Z                 'code': None,
2022-11-23T01:32:31.0568572Z                 'obj_weakref': None
2022-11-23T01:32:31.0568699Z                 'guarded_class': None
2022-11-23T01:32:31.0568768Z             }
2022-11-23T01:32:31.0568837Z             
2022-11-23T01:32:31.0569098Z [2022-11-23 01:29:15,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413
2022-11-23T01:32:31.0569339Z [2022-11-23 01:29:15,653] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0569585Z [2022-11-23 01:29:15,665] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0569950Z [2022-11-23 01:29:15,770] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gk/cgka4rajmh7wtlekji7jhduouv52dbnmuijxmbb5zukfbq5hihc2.py
2022-11-23T01:32:31.0570217Z [2022-11-23 01:29:15,770] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413
2022-11-23T01:32:31.0570460Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0570773Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0570996Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0571250Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0571527Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0571845Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0572187Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0572514Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0572891Z [2022-11-23 01:29:15,774] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136> 
2022-11-23T01:32:31.0572996Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0573114Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0573211Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0573307Z                6 BUILD_LIST               0
2022-11-23T01:32:31.0573424Z                8 LOAD_CONST               1 ((1, 2, 3, 4, 5, 6))
2022-11-23T01:32:31.0573522Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.0573613Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0573744Z               14 CALL_METHOD              3
2022-11-23T01:32:31.0573769Z 
2022-11-23T01:32:31.0573869Z 3139          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0573987Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:31.0574085Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.0574180Z               22 BUILD_LIST               0
2022-11-23T01:32:31.0574286Z               24 LOAD_CONST               3 ((0, 0, 3, 4, 0, 0))
2022-11-23T01:32:31.0574373Z               26 LIST_EXTEND              1
2022-11-23T01:32:31.0574469Z               28 LOAD_CONST               2 (6.0)
2022-11-23T01:32:31.0574564Z               30 CALL_METHOD              3
2022-11-23T01:32:31.0574569Z 
2022-11-23T01:32:31.0574663Z 3137          32 BUILD_TUPLE              2
2022-11-23T01:32:31.0574745Z               34 RETURN_VALUE
2022-11-23T01:32:31.0574811Z  
2022-11-23T01:32:31.0574816Z 
2022-11-23T01:32:31.0575137Z [2022-11-23 01:29:15,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138
2022-11-23T01:32:31.0575366Z [2022-11-23 01:29:15,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0575686Z [2022-11-23 01:29:15,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0575959Z [2022-11-23 01:29:15,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0576263Z [2022-11-23 01:29:15,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0576601Z [2022-11-23 01:29:15,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0576970Z [2022-11-23 01:29:15,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0577297Z [2022-11-23 01:29:15,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0577659Z [2022-11-23 01:29:15,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0577977Z [2022-11-23 01:29:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139
2022-11-23T01:32:31.0578228Z [2022-11-23 01:29:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.0578582Z [2022-11-23 01:29:15,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0579080Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:31.0579410Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:31.0579767Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0580161Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0580554Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0580946Z [2022-11-23 01:29:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.0581298Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137
2022-11-23T01:32:31.0581567Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0581818Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0582195Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136>
2022-11-23T01:32:31.0582442Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0582680Z [2022-11-23 01:29:15,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0582939Z [2022-11-23 01:29:15,790] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0583188Z [2022-11-23 01:29:15,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0583381Z [2022-11-23 01:29:15,795] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0583526Z  __compiled_fn_424 <eval_with_key>.2620 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0583626Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0583780Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T01:32:31.0583932Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T01:32:31.0584077Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:31.0584084Z 
2022-11-23T01:32:31.0584409Z [2022-11-23 01:29:15,795] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0584511Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0584601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0584695Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0584795Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0584889Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0584983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0585065Z              12 RETURN_VALUE
2022-11-23T01:32:31.0585070Z 
2022-11-23T01:32:31.0585136Z  
2022-11-23T01:32:31.0585450Z [2022-11-23 01:29:15,795] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0585571Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_424)
2022-11-23T01:32:31.0585671Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0585769Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0585853Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0585947Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0586057Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0586167Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0586256Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0586338Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0586448Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0586544Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0586624Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.0586718Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.0586834Z              26 RETURN_VALUE
2022-11-23T01:32:31.0586840Z 
2022-11-23T01:32:31.0586923Z  
2022-11-23T01:32:31.0587113Z [2022-11-23 01:29:15,796] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0587188Z  - 
2022-11-23T01:32:31.0587313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0587383Z             {
2022-11-23T01:32:31.0587532Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0587726Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0587844Z                 'obj_weakref': None
2022-11-23T01:32:31.0588072Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0588145Z             }
2022-11-23T01:32:31.0588217Z             
2022-11-23T01:32:31.0588293Z  - 
2022-11-23T01:32:31.0588422Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0588494Z             {
2022-11-23T01:32:31.0588634Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0588755Z                 'code': None,
2022-11-23T01:32:31.0588976Z                 'obj_weakref': <weakref at 0x7f1fd83736a0; to 'Tensor' at 0x7f1fd97e57b0>
2022-11-23T01:32:31.0589230Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0589302Z             }
2022-11-23T01:32:31.0589371Z             
2022-11-23T01:32:31.0589447Z  - 
2022-11-23T01:32:31.0589576Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0589644Z             {
2022-11-23T01:32:31.0589785Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0589961Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0590085Z                 'obj_weakref': None
2022-11-23T01:32:31.0590415Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0590484Z             }
2022-11-23T01:32:31.0590545Z             
2022-11-23T01:32:31.0590622Z  - 
2022-11-23T01:32:31.0590755Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0590827Z             {
2022-11-23T01:32:31.0590970Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0591192Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0591316Z                 'obj_weakref': None
2022-11-23T01:32:31.0591536Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0591606Z             }
2022-11-23T01:32:31.0591675Z             
2022-11-23T01:32:31.0591750Z  - 
2022-11-23T01:32:31.0591887Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0591956Z             {
2022-11-23T01:32:31.0592083Z                 'guard_types': None,
2022-11-23T01:32:31.0592187Z                 'code': None,
2022-11-23T01:32:31.0592309Z                 'obj_weakref': None
2022-11-23T01:32:31.0592436Z                 'guarded_class': None
2022-11-23T01:32:31.0592504Z             }
2022-11-23T01:32:31.0592576Z             
2022-11-23T01:32:31.0592846Z [2022-11-23 01:29:15,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414
2022-11-23T01:32:31.0593103Z [2022-11-23 01:29:15,817] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0593343Z [2022-11-23 01:29:15,823] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0593710Z [2022-11-23 01:29:15,923] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ka/ckaxc6k6ck4vvxkdgz5c6wybs5xqwotifpzet2trmumoogsrfhla.py
2022-11-23T01:32:31.0593981Z [2022-11-23 01:29:15,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414
2022-11-23T01:32:31.0593987Z 
2022-11-23T01:32:31.0594087Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0594163Z import torch
2022-11-23T01:32:31.0594240Z import random
2022-11-23T01:32:31.0594406Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0594536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0594563Z 
2022-11-23T01:32:31.0594639Z aten = torch.ops.aten
2022-11-23T01:32:31.0594781Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0594881Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0594886Z 
2022-11-23T01:32:31.0594962Z import triton
2022-11-23T01:32:31.0595057Z import triton.language as tl
2022-11-23T01:32:31.0595186Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0595333Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0595338Z 
2022-11-23T01:32:31.0595343Z 
2022-11-23T01:32:31.0595525Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0595593Z import triton
2022-11-23T01:32:31.0595686Z import triton.language as tl
2022-11-23T01:32:31.0595802Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0595911Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0596046Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0596178Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0596183Z 
2022-11-23T01:32:31.0596558Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0596631Z @triton.jit
2022-11-23T01:32:31.0596759Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0596834Z     xnumel = 2310
2022-11-23T01:32:31.0596934Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0597067Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0597151Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0597235Z     x2 = (xindex // 77) % 15
2022-11-23T01:32:31.0597317Z     x1 = (xindex // 7) % 11
2022-11-23T01:32:31.0597386Z     x0 = xindex % 7
2022-11-23T01:32:31.0597470Z     x3 = (xindex // 1155)
2022-11-23T01:32:31.0597547Z     x7 = xindex
2022-11-23T01:32:31.0597654Z     tmp0 = (-5) + x2
2022-11-23T01:32:31.0597726Z     tmp1 = 0
2022-11-23T01:32:31.0597808Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0597879Z     tmp3 = 4
2022-11-23T01:32:31.0597952Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0598060Z     tmp5 = (-3) + x1
2022-11-23T01:32:31.0598141Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0598218Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0598321Z     tmp8 = (-1) + x0
2022-11-23T01:32:31.0598399Z     tmp9 = tmp8 >= tmp1
2022-11-23T01:32:31.0598472Z     tmp10 = tmp8 < tmp3
2022-11-23T01:32:31.0598551Z     tmp11 = tmp2 & tmp4
2022-11-23T01:32:31.0598633Z     tmp12 = tmp11 & tmp6
2022-11-23T01:32:31.0598713Z     tmp13 = tmp12 & tmp7
2022-11-23T01:32:31.0598796Z     tmp14 = tmp13 & tmp9
2022-11-23T01:32:31.0598876Z     tmp15 = tmp14 & tmp10
2022-11-23T01:32:31.0599142Z     tmp16 = tl.load(in_ptr0 + ((-93) + x0 + (4*x1) + (16*x2) + (64*x3) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp15, other=0)
2022-11-23T01:32:31.0599237Z     tmp17 = tl.where(tmp15, tmp16, 6.0)
2022-11-23T01:32:31.0599381Z     tl.store(out_ptr0 + (x7 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.0599467Z ''')
2022-11-23T01:32:31.0599473Z 
2022-11-23T01:32:31.0599477Z 
2022-11-23T01:32:31.0599657Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0599732Z import triton
2022-11-23T01:32:31.0599828Z import triton.language as tl
2022-11-23T01:32:31.0599946Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0600050Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0600178Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0600306Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0600312Z 
2022-11-23T01:32:31.0600718Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0600817Z @triton.jit
2022-11-23T01:32:31.0600952Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0601029Z     xnumel = 352
2022-11-23T01:32:31.0601126Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0601259Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0601337Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0601418Z     x1 = (xindex // 4) % 11
2022-11-23T01:32:31.0601497Z     x2 = (xindex // 44)
2022-11-23T01:32:31.0601573Z     x3 = xindex % 44
2022-11-23T01:32:31.0601645Z     x4 = xindex
2022-11-23T01:32:31.0601751Z     tmp0 = (-3) + x1
2022-11-23T01:32:31.0601815Z     tmp1 = 0
2022-11-23T01:32:31.0601896Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0601967Z     tmp3 = 4
2022-11-23T01:32:31.0602046Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0602126Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.0602368Z     tmp6 = tl.load(in_ptr0 + ((-12) + x3 + (16*x2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0)
2022-11-23T01:32:31.0602468Z     tmp7 = tl.where(tmp5, tmp6, 6.0)
2022-11-23T01:32:31.0602600Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0602687Z ''')
2022-11-23T01:32:31.0602693Z 
2022-11-23T01:32:31.0602697Z 
2022-11-23T01:32:31.0602793Z async_compile.wait(globals())
2022-11-23T01:32:31.0602871Z del async_compile
2022-11-23T01:32:31.0602876Z 
2022-11-23T01:32:31.0602950Z def call(args):
2022-11-23T01:32:31.0603027Z     arg0_1, = args
2022-11-23T01:32:31.0603103Z     args.clear()
2022-11-23T01:32:31.0603325Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0603410Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0603566Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 2310, grid=grid(2310), stream=stream0)
2022-11-23T01:32:31.0603781Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0603934Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 352, grid=grid(352), stream=stream0)
2022-11-23T01:32:31.0604012Z     del arg0_1
2022-11-23T01:32:31.0604095Z     return (buf0, buf1, )
2022-11-23T01:32:31.0604101Z 
2022-11-23T01:32:31.0604105Z 
2022-11-23T01:32:31.0604189Z if __name__ == "__main__":
2022-11-23T01:32:31.0604309Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0604432Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0604645Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0604760Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0604765Z 
2022-11-23T01:32:31.0604770Z 
2022-11-23T01:32:31.0604871Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0604945Z import torch
2022-11-23T01:32:31.0605021Z import random
2022-11-23T01:32:31.0605142Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0605270Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0605279Z 
2022-11-23T01:32:31.0605355Z aten = torch.ops.aten
2022-11-23T01:32:31.0605498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0605596Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0605601Z 
2022-11-23T01:32:31.0605677Z import triton
2022-11-23T01:32:31.0605769Z import triton.language as tl
2022-11-23T01:32:31.0605897Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0606040Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0606046Z 
2022-11-23T01:32:31.0606050Z 
2022-11-23T01:32:31.0606227Z triton_fused_constant_pad_nd0 = async_compile.triton('''
2022-11-23T01:32:31.0606295Z import triton
2022-11-23T01:32:31.0606389Z import triton.language as tl
2022-11-23T01:32:31.0606503Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0606609Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0606776Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0606924Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0606929Z 
2022-11-23T01:32:31.0607303Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.0607376Z @triton.jit
2022-11-23T01:32:31.0607504Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0607581Z     xnumel = 2310
2022-11-23T01:32:31.0607679Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0607813Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0607899Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0607982Z     x2 = (xindex // 77) % 15
2022-11-23T01:32:31.0608064Z     x1 = (xindex // 7) % 11
2022-11-23T01:32:31.0608132Z     x0 = xindex % 7
2022-11-23T01:32:31.0608211Z     x3 = (xindex // 1155)
2022-11-23T01:32:31.0608285Z     x7 = xindex
2022-11-23T01:32:31.0608395Z     tmp0 = (-5) + x2
2022-11-23T01:32:31.0608466Z     tmp1 = 0
2022-11-23T01:32:31.0608549Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0608613Z     tmp3 = 4
2022-11-23T01:32:31.0608692Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0608796Z     tmp5 = (-3) + x1
2022-11-23T01:32:31.0608878Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:31.0608956Z     tmp7 = tmp5 < tmp3
2022-11-23T01:32:31.0609062Z     tmp8 = (-1) + x0
2022-11-23T01:32:31.0609140Z     tmp9 = tmp8 >= tmp1
2022-11-23T01:32:31.0609212Z     tmp10 = tmp8 < tmp3
2022-11-23T01:32:31.0609297Z     tmp11 = tmp2 & tmp4
2022-11-23T01:32:31.0609378Z     tmp12 = tmp11 & tmp6
2022-11-23T01:32:31.0609459Z     tmp13 = tmp12 & tmp7
2022-11-23T01:32:31.0609539Z     tmp14 = tmp13 & tmp9
2022-11-23T01:32:31.0609619Z     tmp15 = tmp14 & tmp10
2022-11-23T01:32:31.0609909Z     tmp16 = tl.load(in_ptr0 + ((-93) + x0 + (4*x1) + (16*x2) + (64*x3) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp15, other=0).to(tl.float32)
2022-11-23T01:32:31.0610004Z     tmp17 = tl.where(tmp15, tmp16, 6.0)
2022-11-23T01:32:31.0610146Z     tl.store(out_ptr0 + (x7 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.0610232Z ''')
2022-11-23T01:32:31.0610238Z 
2022-11-23T01:32:31.0610242Z 
2022-11-23T01:32:31.0610422Z triton_fused_constant_pad_nd_11 = async_compile.triton('''
2022-11-23T01:32:31.0610498Z import triton
2022-11-23T01:32:31.0610592Z import triton.language as tl
2022-11-23T01:32:31.0610707Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0610804Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0610940Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0611067Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0611072Z 
2022-11-23T01:32:31.0611447Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0611522Z @triton.jit
2022-11-23T01:32:31.0611658Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0611733Z     xnumel = 352
2022-11-23T01:32:31.0611831Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0611956Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0612043Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0612124Z     x1 = (xindex // 4) % 11
2022-11-23T01:32:31.0612202Z     x2 = (xindex // 44)
2022-11-23T01:32:31.0612280Z     x3 = xindex % 44
2022-11-23T01:32:31.0612353Z     x4 = xindex
2022-11-23T01:32:31.0612458Z     tmp0 = (-3) + x1
2022-11-23T01:32:31.0612522Z     tmp1 = 0
2022-11-23T01:32:31.0612603Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.0612673Z     tmp3 = 4
2022-11-23T01:32:31.0612752Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.0612830Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.0613118Z     tmp6 = tl.load(in_ptr0 + ((-12) + x3 + (16*x2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0).to(tl.float32)
2022-11-23T01:32:31.0613255Z     tmp7 = tl.where(tmp5, tmp6, 6.0)
2022-11-23T01:32:31.0613386Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.0613473Z ''')
2022-11-23T01:32:31.0613478Z 
2022-11-23T01:32:31.0613483Z 
2022-11-23T01:32:31.0613581Z async_compile.wait(globals())
2022-11-23T01:32:31.0613658Z del async_compile
2022-11-23T01:32:31.0613663Z 
2022-11-23T01:32:31.0613739Z def call(args):
2022-11-23T01:32:31.0613814Z     arg0_1, = args
2022-11-23T01:32:31.0613895Z     args.clear()
2022-11-23T01:32:31.0614116Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0614201Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0614354Z     triton_fused_constant_pad_nd0.run(arg0_1, buf0, 2310, grid=grid(2310), stream=stream0)
2022-11-23T01:32:31.0614569Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0614722Z     triton_fused_constant_pad_nd_11.run(arg0_1, buf1, 352, grid=grid(352), stream=stream0)
2022-11-23T01:32:31.0614798Z     del arg0_1
2022-11-23T01:32:31.0614881Z     return (buf0, buf1, )
2022-11-23T01:32:31.0614886Z 
2022-11-23T01:32:31.0614890Z 
2022-11-23T01:32:31.0614973Z if __name__ == "__main__":
2022-11-23T01:32:31.0615093Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0615215Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0615431Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.0615550Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.0615555Z 
2022-11-23T01:32:31.0615630Z ok (0.332s)
2022-11-23T01:32:31.0615973Z   test_conv2d_backward_channels_last_cuda (__main__.CudaTests) ... [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0616292Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0616515Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0616770Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0617040Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0617360Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0617703Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0618025Z [2022-11-23 01:29:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0618400Z [2022-11-23 01:29:16,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865> 
2022-11-23T01:32:31.0618506Z  1866           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0618605Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.0618705Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.0619018Z                6 LOAD_ATTR                3 (convolution_backward)
2022-11-23T01:32:31.0619125Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.0619131Z 
2022-11-23T01:32:31.0619230Z 1867          10 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.0619235Z 
2022-11-23T01:32:31.0619333Z 1868          12 LOAD_FAST                1 (inp)
2022-11-23T01:32:31.0619339Z 
2022-11-23T01:32:31.0619499Z 1869          14 LOAD_FAST                2 (weight)
2022-11-23T01:32:31.0619505Z 
2022-11-23T01:32:31.0619628Z 1870          16 LOAD_CONST               1 (320)
2022-11-23T01:32:31.0619725Z               18 BUILD_LIST               1
2022-11-23T01:32:31.0619730Z 
2022-11-23T01:32:31.0619826Z 1871          20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0619922Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0620016Z               24 BUILD_LIST               2
2022-11-23T01:32:31.0620022Z 
2022-11-23T01:32:31.0620113Z 1872          26 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0620198Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0620290Z               30 BUILD_LIST               2
2022-11-23T01:32:31.0620295Z 
2022-11-23T01:32:31.0620389Z 1873          32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0620482Z               34 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0620575Z               36 BUILD_LIST               2
2022-11-23T01:32:31.0620581Z 
2022-11-23T01:32:31.0620681Z 1874          38 LOAD_CONST               4 (False)
2022-11-23T01:32:31.0620689Z 
2022-11-23T01:32:31.0620780Z 1875          40 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0620872Z               42 LOAD_CONST               3 (0)
2022-11-23T01:32:31.0620956Z               44 BUILD_LIST               2
2022-11-23T01:32:31.0620961Z 
2022-11-23T01:32:31.0621056Z 1876          46 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0621060Z 
2022-11-23T01:32:31.0621154Z 1877          48 BUILD_LIST               0
2022-11-23T01:32:31.0621272Z               50 LOAD_CONST               5 ((True, True, True))
2022-11-23T01:32:31.0621367Z               52 LIST_EXTEND              1
2022-11-23T01:32:31.0621372Z 
2022-11-23T01:32:31.0621469Z 1866          54 CALL_METHOD             11
2022-11-23T01:32:31.0621595Z               56 STORE_FAST               3 (convolution_backward_8)
2022-11-23T01:32:31.0621600Z 
2022-11-23T01:32:31.0621719Z 1879          58 LOAD_FAST                3 (convolution_backward_8)
2022-11-23T01:32:31.0621797Z               60 RETURN_VALUE
2022-11-23T01:32:31.0621867Z  
2022-11-23T01:32:31.0621872Z 
2022-11-23T01:32:31.0622190Z [2022-11-23 01:29:16,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:32:31.0622416Z [2022-11-23 01:29:16,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0622783Z [2022-11-23 01:29:16,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0623079Z [2022-11-23 01:29:16,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.0623408Z [2022-11-23 01:29:16,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0623698Z [2022-11-23 01:29:16,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0624015Z [2022-11-23 01:29:16,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1867
2022-11-23T01:32:31.0624323Z [2022-11-23 01:29:16,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)]
2022-11-23T01:32:31.0624627Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1868
2022-11-23T01:32:31.0624941Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()]
2022-11-23T01:32:31.0625249Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1869
2022-11-23T01:32:31.0625633Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0625959Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1870
2022-11-23T01:32:31.0626331Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0626737Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0627041Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1871
2022-11-23T01:32:31.0627433Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.0627864Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0628322Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0628630Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1872
2022-11-23T01:32:31.0629045Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0629498Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0629979Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0630352Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1873
2022-11-23T01:32:31.0630840Z [2022-11-23 01:29:16,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0631325Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0631844Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0632157Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1874
2022-11-23T01:32:31.0632662Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0633000Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1875
2022-11-23T01:32:31.0633502Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0634043Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:31.0634617Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0634930Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1876
2022-11-23T01:32:31.0635460Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:31.0635775Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1877
2022-11-23T01:32:31.0636335Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0636943Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:31.0637572Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0637887Z [2022-11-23 01:29:16,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:32:31.0638482Z [2022-11-23 01:29:16,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:31.0638755Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()]
2022-11-23T01:32:31.0639066Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1879
2022-11-23T01:32:31.0639341Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 []
2022-11-23T01:32:31.0639605Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0639991Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865>
2022-11-23T01:32:31.0640237Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0640477Z [2022-11-23 01:29:16,065] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0640739Z [2022-11-23 01:29:16,066] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0640995Z [2022-11-23 01:29:16,070] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0641191Z [2022-11-23 01:29:16,070] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0641335Z  __compiled_fn_425 <eval_with_key>.2626 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0641431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0641516Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.0641608Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.0641833Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0642068Z call_function, getitem, <built-in function getitem>, (convolution_backward_default, 0), {}
2022-11-23T01:32:31.0642304Z call_function, getitem_1, <built-in function getitem>, (convolution_backward_default, 1), {}
2022-11-23T01:32:31.0642534Z call_function, getitem_2, <built-in function getitem>, (convolution_backward_default, 2), {}
2022-11-23T01:32:31.0642669Z output, output, output, ((getitem, getitem_1, getitem_2),), {}
2022-11-23T01:32:31.0642676Z 
2022-11-23T01:32:31.0643001Z [2022-11-23 01:29:16,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0643101Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0643192Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0643284Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0643384Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0643477Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0643572Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0643652Z              12 RETURN_VALUE
2022-11-23T01:32:31.0643658Z 
2022-11-23T01:32:31.0643725Z  
2022-11-23T01:32:31.0644040Z [2022-11-23 01:29:16,071] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0644163Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_425)
2022-11-23T01:32:31.0644264Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0644362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0644445Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0644539Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0644633Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0644714Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.0644800Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0644893Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0644973Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.0645067Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.0645178Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0645287Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0645414Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0645489Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.0645621Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0645717Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0645800Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.0645908Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0646001Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0646082Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.0646169Z              42 BUILD_TUPLE              3
2022-11-23T01:32:31.0646251Z              44 RETURN_VALUE
2022-11-23T01:32:31.0646256Z 
2022-11-23T01:32:31.0646320Z  
2022-11-23T01:32:31.0646512Z [2022-11-23 01:29:16,071] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0646588Z  - 
2022-11-23T01:32:31.0646713Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0646782Z             {
2022-11-23T01:32:31.0646925Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0647117Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.0647245Z                 'obj_weakref': None
2022-11-23T01:32:31.0647472Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0647545Z             }
2022-11-23T01:32:31.0647612Z             
2022-11-23T01:32:31.0647689Z  - 
2022-11-23T01:32:31.0647811Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0647880Z             {
2022-11-23T01:32:31.0648029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0648141Z                 'code': None,
2022-11-23T01:32:31.0648359Z                 'obj_weakref': <weakref at 0x7f1fd83105e0; to 'Tensor' at 0x7f1fd97d9c10>
2022-11-23T01:32:31.0648613Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0648682Z             }
2022-11-23T01:32:31.0648747Z             
2022-11-23T01:32:31.0648823Z  - 
2022-11-23T01:32:31.0648953Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.0649023Z             {
2022-11-23T01:32:31.0649173Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0649284Z                 'code': None,
2022-11-23T01:32:31.0649495Z                 'obj_weakref': <weakref at 0x7f1fd8375940; to 'Tensor' at 0x7f2151f00b30>
2022-11-23T01:32:31.0649740Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0649807Z             }
2022-11-23T01:32:31.0649874Z             
2022-11-23T01:32:31.0649951Z  - 
2022-11-23T01:32:31.0650079Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.0650148Z             {
2022-11-23T01:32:31.0650295Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0650399Z                 'code': None,
2022-11-23T01:32:31.0650615Z                 'obj_weakref': <weakref at 0x7f1fd8376a20; to 'Tensor' at 0x7f1fd8cc4ea0>
2022-11-23T01:32:31.0650869Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0650940Z             }
2022-11-23T01:32:31.0651007Z             
2022-11-23T01:32:31.0651083Z  - 
2022-11-23T01:32:31.0651217Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0651278Z             {
2022-11-23T01:32:31.0651418Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0651594Z                 'code': ['___check_obj_id(model, 139775283434624)'],
2022-11-23T01:32:31.0651718Z                 'obj_weakref': None
2022-11-23T01:32:31.0651952Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0652022Z             }
2022-11-23T01:32:31.0652091Z             
2022-11-23T01:32:31.0652159Z  - 
2022-11-23T01:32:31.0652289Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0652357Z             {
2022-11-23T01:32:31.0652547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0652843Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0652967Z                 'obj_weakref': None
2022-11-23T01:32:31.0653195Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0653256Z             }
2022-11-23T01:32:31.0653327Z             
2022-11-23T01:32:31.0653403Z  - 
2022-11-23T01:32:31.0653542Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0653611Z             {
2022-11-23T01:32:31.0653735Z                 'guard_types': None,
2022-11-23T01:32:31.0653847Z                 'code': None,
2022-11-23T01:32:31.0653962Z                 'obj_weakref': None
2022-11-23T01:32:31.0654088Z                 'guarded_class': None
2022-11-23T01:32:31.0654160Z             }
2022-11-23T01:32:31.0654230Z             
2022-11-23T01:32:31.0654501Z [2022-11-23 01:29:16,078] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415
2022-11-23T01:32:31.0654758Z [2022-11-23 01:29:16,112] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.0655002Z [2022-11-23 01:29:16,115] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0655250Z [2022-11-23 01:29:16,121] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.0655609Z [2022-11-23 01:29:16,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uw/cuwz2o7drpq2esvj5jhepzat5kr74fwuaem65nxhzo2gu7gmib3j.py
2022-11-23T01:32:31.0655878Z [2022-11-23 01:29:16,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415
2022-11-23T01:32:31.0655884Z 
2022-11-23T01:32:31.0655984Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0656060Z import torch
2022-11-23T01:32:31.0656133Z import random
2022-11-23T01:32:31.0656258Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0656385Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0656394Z 
2022-11-23T01:32:31.0656476Z aten = torch.ops.aten
2022-11-23T01:32:31.0656609Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0656708Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0656713Z 
2022-11-23T01:32:31.0656790Z import triton
2022-11-23T01:32:31.0656886Z import triton.language as tl
2022-11-23T01:32:31.0657013Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0657157Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0657163Z 
2022-11-23T01:32:31.0657167Z 
2022-11-23T01:32:31.0657321Z triton_fused_sum_10 = async_compile.triton('''
2022-11-23T01:32:31.0657397Z import triton
2022-11-23T01:32:31.0657482Z import triton.language as tl
2022-11-23T01:32:31.0657599Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0657702Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0657841Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.0657971Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0657977Z 
2022-11-23T01:32:31.0658070Z @reduction(size_hints=[512, 128],
2022-11-23T01:32:31.0658188Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.0658266Z               filename=__file__,
2022-11-23T01:32:31.0658601Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.0658675Z @triton.jit
2022-11-23T01:32:31.0659035Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.0659114Z     xnumel = 320
2022-11-23T01:32:31.0659191Z     rnumel = 128
2022-11-23T01:32:31.0659291Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0659490Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.0659570Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0659729Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.0659804Z     x0 = xindex
2022-11-23T01:32:31.0659925Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.0660032Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.0660123Z         rindex = roffset + rbase
2022-11-23T01:32:31.0660210Z         rmask = rindex < rnumel
2022-11-23T01:32:31.0660283Z         r1 = rindex % 64
2022-11-23T01:32:31.0660367Z         r2 = (rindex // 64)
2022-11-23T01:32:31.0660614Z         tmp0 = tl.load(in_ptr0 + (r1 + (64*x0) + (20480*r2)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.0660739Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.0660856Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.0660956Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:31.0661043Z ''')
2022-11-23T01:32:31.0661051Z 
2022-11-23T01:32:31.0661056Z 
2022-11-23T01:32:31.0661241Z triton_fused_convolution_backward1 = async_compile.triton('''
2022-11-23T01:32:31.0661317Z import triton
2022-11-23T01:32:31.0661410Z import triton.language as tl
2022-11-23T01:32:31.0661530Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0661637Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0661773Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0661900Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0661905Z 
2022-11-23T01:32:31.0662342Z @pointwise(size_hints=[1024, 64], tile_hint=TileHint.SQUARE,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.0662408Z @triton.jit
2022-11-23T01:32:31.0662578Z def kernel(in_ptr0, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:31.0662656Z     xnumel = 640
2022-11-23T01:32:31.0662738Z     ynumel = 64
2022-11-23T01:32:31.0662837Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0662974Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.0663058Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0663148Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:31.0663280Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:31.0663361Z     ymask = yindex < ynumel
2022-11-23T01:32:31.0663433Z     x3 = xindex
2022-11-23T01:32:31.0663503Z     y2 = yindex
2022-11-23T01:32:31.0663581Z     x0 = xindex % 320
2022-11-23T01:32:31.0663662Z     x1 = (xindex // 320)
2022-11-23T01:32:31.0663774Z     tmp0 = tl.load(in_ptr0 + (y2 + (64*x3)), xmask & ymask)
2022-11-23T01:32:31.0663940Z     tl.store(out_ptr0 + (x0 + (320*y2) + (20480*x1) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp0, xmask & ymask)
2022-11-23T01:32:31.0664027Z ''')
2022-11-23T01:32:31.0664032Z 
2022-11-23T01:32:31.0664039Z 
2022-11-23T01:32:31.0664231Z triton_fused_convolution_backward2 = async_compile.triton('''
2022-11-23T01:32:31.0664307Z import triton
2022-11-23T01:32:31.0664402Z import triton.language as tl
2022-11-23T01:32:31.0664517Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0664620Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0664747Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0664877Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0664882Z 
2022-11-23T01:32:31.0665315Z @pointwise(size_hints=[4096, 64], tile_hint=TileHint.SQUARE,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.0665392Z @triton.jit
2022-11-23T01:32:31.0665563Z def kernel(in_ptr0, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:31.0665670Z     xnumel = 4096
2022-11-23T01:32:31.0665762Z     ynumel = 64
2022-11-23T01:32:31.0665862Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0665990Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.0666076Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0666173Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:31.0666309Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:31.0666392Z     ymask = yindex < ynumel
2022-11-23T01:32:31.0666463Z     x3 = xindex
2022-11-23T01:32:31.0666535Z     y2 = yindex
2022-11-23T01:32:31.0666605Z     x0 = xindex % 2048
2022-11-23T01:32:31.0666686Z     x1 = (xindex // 2048)
2022-11-23T01:32:31.0666803Z     tmp0 = tl.load(in_ptr0 + (y2 + (64*x3)), xmask & ymask)
2022-11-23T01:32:31.0666973Z     tl.store(out_ptr0 + (x0 + (2048*y2) + (131072*x1) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp0, xmask & ymask)
2022-11-23T01:32:31.0667060Z ''')
2022-11-23T01:32:31.0667065Z 
2022-11-23T01:32:31.0667072Z 
2022-11-23T01:32:31.0667167Z async_compile.wait(globals())
2022-11-23T01:32:31.0667248Z del async_compile
2022-11-23T01:32:31.0667253Z 
2022-11-23T01:32:31.0667328Z def call(args):
2022-11-23T01:32:31.0667408Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.0667484Z     args.clear()
2022-11-23T01:32:31.0667688Z     buf0 = empty_strided((320, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0667780Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0667924Z     triton_fused_sum_10.run(arg0_1, buf0, 320, 128, grid=grid(320), stream=stream0)
2022-11-23T01:32:31.0668155Z     buf1 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0668320Z     triton_fused_convolution_backward1.run(arg0_1, buf1, 640, 64, grid=grid(640, 64), stream=stream0)
2022-11-23T01:32:31.0668386Z     del arg0_1
2022-11-23T01:32:31.0668620Z     buf2 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0668784Z     triton_fused_convolution_backward2.run(arg1_1, buf2, 4096, 64, grid=grid(4096, 64), stream=stream0)
2022-11-23T01:32:31.0668863Z     del arg1_1
2022-11-23T01:32:31.0669033Z     buf3 = aten.convolution_backward(buf1, buf2, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False])
2022-11-23T01:32:31.0669106Z     del arg2_1
2022-11-23T01:32:31.0669175Z     del buf1
2022-11-23T01:32:31.0669245Z     del buf2
2022-11-23T01:32:31.0669312Z     buf4 = buf3[0]
2022-11-23T01:32:31.0669433Z     assert_size_stride(buf4, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2022-11-23T01:32:31.0669508Z     buf5 = buf3[1]
2022-11-23T01:32:31.0669626Z     assert_size_stride(buf5, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2022-11-23T01:32:31.0669697Z     del buf3
2022-11-23T01:32:31.0669785Z     return (buf4, buf5, buf0, )
2022-11-23T01:32:31.0669790Z 
2022-11-23T01:32:31.0669794Z 
2022-11-23T01:32:31.0669875Z if __name__ == "__main__":
2022-11-23T01:32:31.0669989Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0670121Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0670443Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0670675Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0670904Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0671034Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.0671039Z 
2022-11-23T01:32:31.0671111Z ok (0.430s)
2022-11-23T01:32:31.0671288Z   test_conv2d_binary_cuda (__main__.CudaTests) ... skip: only support cpu conv2d binary test (0.002s)
2022-11-23T01:32:31.0671457Z   test_conv2d_channels_last_cuda (__main__.CudaTests) ... skip: only support cpu channels_last (0.001s)
2022-11-23T01:32:31.0671664Z   test_conv2d_unary_cuda (__main__.CudaTests) ... skip: only support cpu conv2d unary test (0.001s)
2022-11-23T01:32:31.0671857Z   test_conv3d_channels_last_cuda (__main__.CudaTests) ... skip: only support cpu channels_last (0.001s)
2022-11-23T01:32:31.0672382Z   test_conv_autotune_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.0672462Z   warnings.warn(
2022-11-23T01:32:31.0672717Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing triton_conv
2022-11-23T01:32:31.0673032Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2255
2022-11-23T01:32:31.0673254Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.0673618Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.0673943Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.0674289Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.0674652Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST bias [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0675056Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.0675491Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.0675949Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dilation [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0676425Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST groups [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0676937Z [2022-11-23 01:29:16,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0677180Z [2022-11-23 01:29:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:31.0677491Z [2022-11-23 01:29:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2256
2022-11-23T01:32:31.0677705Z [2022-11-23 01:29:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y []
2022-11-23T01:32:31.0677953Z [2022-11-23 01:29:16,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.0678200Z [2022-11-23 01:29:16,366] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing triton_conv
2022-11-23T01:32:31.0678444Z [2022-11-23 01:29:16,367] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.0678711Z [2022-11-23 01:29:16,370] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.0678922Z [2022-11-23 01:29:16,370] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0679066Z  __compiled_fn_426 <eval_with_key>.2632 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0679157Z placeholder, x, x, (), {}
2022-11-23T01:32:31.0679244Z placeholder, w, w, (), {}
2022-11-23T01:32:31.0679338Z placeholder, bias, bias, (), {}
2022-11-23T01:32:31.0679606Z call_function, conv2d, <built-in method conv2d of type object at 0x7f209c394c60>, (x, w, bias, (1, 1), (0, 0), (1, 1), 1), {}
2022-11-23T01:32:31.0679712Z output, output, output, ((conv2d,),), {}
2022-11-23T01:32:31.0679718Z 
2022-11-23T01:32:31.0680055Z [2022-11-23 01:29:16,371] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2245 
2022-11-23T01:32:31.0680150Z 2255           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.0680255Z                2 LOAD_METHOD              1 (conv2d)
2022-11-23T01:32:31.0680354Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0680451Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:31.0680549Z                8 LOAD_FAST                2 (bias)
2022-11-23T01:32:31.0680650Z               10 LOAD_FAST                3 (stride)
2022-11-23T01:32:31.0680752Z               12 LOAD_FAST                4 (padding)
2022-11-23T01:32:31.0680847Z               14 LOAD_FAST                5 (dilation)
2022-11-23T01:32:31.0680948Z               16 LOAD_FAST                6 (groups)
2022-11-23T01:32:31.0681043Z               18 CALL_METHOD              7
2022-11-23T01:32:31.0681141Z               20 STORE_FAST               7 (y)
2022-11-23T01:32:31.0681146Z 
2022-11-23T01:32:31.0681240Z 2256          22 LOAD_FAST                7 (y)
2022-11-23T01:32:31.0681324Z               24 RETURN_VALUE
2022-11-23T01:32:31.0681330Z 
2022-11-23T01:32:31.0681395Z  
2022-11-23T01:32:31.0681736Z [2022-11-23 01:29:16,371] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2245 
2022-11-23T01:32:31.0681850Z 2245           0 LOAD_GLOBAL              2 (__compiled_fn_426)
2022-11-23T01:32:31.0681944Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.0682038Z                4 LOAD_FAST                1 (w)
2022-11-23T01:32:31.0682135Z                6 LOAD_FAST                2 (bias)
2022-11-23T01:32:31.0682232Z                8 CALL_FUNCTION            3
2022-11-23T01:32:31.0682329Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.0682409Z               12 RETURN_VALUE
2022-11-23T01:32:31.0682414Z 
2022-11-23T01:32:31.0682479Z  
2022-11-23T01:32:31.0682660Z [2022-11-23 01:29:16,372] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0682735Z  - 
2022-11-23T01:32:31.0682861Z             local 'w' TENSOR_MATCH
2022-11-23T01:32:31.0682929Z             {
2022-11-23T01:32:31.0683079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0683192Z                 'code': None,
2022-11-23T01:32:31.0683410Z                 'obj_weakref': <weakref at 0x7f1fd833b470; to 'Tensor' at 0x7f1fd8313880>
2022-11-23T01:32:31.0683655Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0683726Z             }
2022-11-23T01:32:31.0683796Z             
2022-11-23T01:32:31.0683872Z  - 
2022-11-23T01:32:31.0683997Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.0684066Z             {
2022-11-23T01:32:31.0684208Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0684320Z                 'code': None,
2022-11-23T01:32:31.0684530Z                 'obj_weakref': <weakref at 0x7f1fd833bd80; to 'Tensor' at 0x7f1fd8cc4cc0>
2022-11-23T01:32:31.0684773Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0684877Z             }
2022-11-23T01:32:31.0684964Z             
2022-11-23T01:32:31.0685042Z  - 
2022-11-23T01:32:31.0685170Z             local 'bias' TENSOR_MATCH
2022-11-23T01:32:31.0685232Z             {
2022-11-23T01:32:31.0685380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0685492Z                 'code': None,
2022-11-23T01:32:31.0685712Z                 'obj_weakref': <weakref at 0x7f1fd8356cf0; to 'Tensor' at 0x7f1fd83136f0>
2022-11-23T01:32:31.0685961Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0686030Z             }
2022-11-23T01:32:31.0686098Z             
2022-11-23T01:32:31.0686165Z  - 
2022-11-23T01:32:31.0686305Z             local 'groups' CONSTANT_MATCH
2022-11-23T01:32:31.0686373Z             {
2022-11-23T01:32:31.0686523Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0686726Z                 'code': ['___check_type_id(groups, 94768292480384)', 'groups == 1'],
2022-11-23T01:32:31.0686856Z                 'obj_weakref': None
2022-11-23T01:32:31.0687080Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0687141Z             }
2022-11-23T01:32:31.0687210Z             
2022-11-23T01:32:31.0687284Z  - 
2022-11-23T01:32:31.0687416Z             local 'stride' EQUALS_MATCH
2022-11-23T01:32:31.0687485Z             {
2022-11-23T01:32:31.0687660Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.0688004Z                 'code': ['___check_type_id(stride, 94768292458112)', 'len(stride) == 2', '___check_type_id(stride[0], 94768292480384)', '___check_type_id(stride[1], 94768292480384)', 'stride == (1, 1)'],
2022-11-23T01:32:31.0688122Z                 'obj_weakref': None
2022-11-23T01:32:31.0688347Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0688415Z             }
2022-11-23T01:32:31.0688486Z             
2022-11-23T01:32:31.0688563Z  - 
2022-11-23T01:32:31.0688700Z             local 'padding' EQUALS_MATCH
2022-11-23T01:32:31.0688768Z             {
2022-11-23T01:32:31.0688932Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.0689288Z                 'code': ['___check_type_id(padding, 94768292458112)', 'len(padding) == 2', '___check_type_id(padding[0], 94768292480384)', '___check_type_id(padding[1], 94768292480384)', 'padding == (0, 0)'],
2022-11-23T01:32:31.0689410Z                 'obj_weakref': None
2022-11-23T01:32:31.0689629Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0689697Z             }
2022-11-23T01:32:31.0689765Z             
2022-11-23T01:32:31.0689839Z  - 
2022-11-23T01:32:31.0689974Z             local 'dilation' EQUALS_MATCH
2022-11-23T01:32:31.0690035Z             {
2022-11-23T01:32:31.0690204Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.0690558Z                 'code': ['___check_type_id(dilation, 94768292458112)', 'len(dilation) == 2', '___check_type_id(dilation[0], 94768292480384)', '___check_type_id(dilation[1], 94768292480384)', 'dilation == (1, 1)'],
2022-11-23T01:32:31.0690682Z                 'obj_weakref': None
2022-11-23T01:32:31.0690900Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0690969Z             }
2022-11-23T01:32:31.0691037Z             
2022-11-23T01:32:31.0691105Z  - 
2022-11-23T01:32:31.0691253Z             local 'stride[0]' CONSTANT_MATCH
2022-11-23T01:32:31.0691327Z             {
2022-11-23T01:32:31.0691473Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0691680Z                 'code': ['___check_type_id(stride[0], 94768292480384)', 'stride[0] == 1'],
2022-11-23T01:32:31.0691803Z                 'obj_weakref': None
2022-11-23T01:32:31.0692070Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0692162Z             }
2022-11-23T01:32:31.0692243Z             
2022-11-23T01:32:31.0692333Z  - 
2022-11-23T01:32:31.0692477Z             local 'stride[1]' CONSTANT_MATCH
2022-11-23T01:32:31.0692545Z             {
2022-11-23T01:32:31.0692692Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0692892Z                 'code': ['___check_type_id(stride[1], 94768292480384)', 'stride[1] == 1'],
2022-11-23T01:32:31.0693008Z                 'obj_weakref': None
2022-11-23T01:32:31.0693230Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0693300Z             }
2022-11-23T01:32:31.0693368Z             
2022-11-23T01:32:31.0693442Z  - 
2022-11-23T01:32:31.0693590Z             local 'padding[0]' CONSTANT_MATCH
2022-11-23T01:32:31.0693658Z             {
2022-11-23T01:32:31.0693795Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0694011Z                 'code': ['___check_type_id(padding[0], 94768292480384)', 'padding[0] == 0'],
2022-11-23T01:32:31.0694137Z                 'obj_weakref': None
2022-11-23T01:32:31.0694351Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0694419Z             }
2022-11-23T01:32:31.0694486Z             
2022-11-23T01:32:31.0694560Z  - 
2022-11-23T01:32:31.0694699Z             local 'padding[1]' CONSTANT_MATCH
2022-11-23T01:32:31.0694769Z             {
2022-11-23T01:32:31.0694912Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0695119Z                 'code': ['___check_type_id(padding[1], 94768292480384)', 'padding[1] == 0'],
2022-11-23T01:32:31.0695245Z                 'obj_weakref': None
2022-11-23T01:32:31.0695458Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0695526Z             }
2022-11-23T01:32:31.0695587Z             
2022-11-23T01:32:31.0695663Z  - 
2022-11-23T01:32:31.0695815Z             local 'dilation[0]' CONSTANT_MATCH
2022-11-23T01:32:31.0695886Z             {
2022-11-23T01:32:31.0696032Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0696241Z                 'code': ['___check_type_id(dilation[0], 94768292480384)', 'dilation[0] == 1'],
2022-11-23T01:32:31.0696365Z                 'obj_weakref': None
2022-11-23T01:32:31.0696579Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0696649Z             }
2022-11-23T01:32:31.0696716Z             
2022-11-23T01:32:31.0696792Z  - 
2022-11-23T01:32:31.0696941Z             local 'dilation[1]' CONSTANT_MATCH
2022-11-23T01:32:31.0697010Z             {
2022-11-23T01:32:31.0697157Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0697358Z                 'code': ['___check_type_id(dilation[1], 94768292480384)', 'dilation[1] == 1'],
2022-11-23T01:32:31.0697482Z                 'obj_weakref': None
2022-11-23T01:32:31.0697699Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0697770Z             }
2022-11-23T01:32:31.0697839Z             
2022-11-23T01:32:31.0697913Z  - 
2022-11-23T01:32:31.0698050Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.0698112Z             {
2022-11-23T01:32:31.0698237Z                 'guard_types': None,
2022-11-23T01:32:31.0698349Z                 'code': None,
2022-11-23T01:32:31.0698472Z                 'obj_weakref': None
2022-11-23T01:32:31.0698599Z                 'guarded_class': None
2022-11-23T01:32:31.0698669Z             }
2022-11-23T01:32:31.0698738Z             
2022-11-23T01:32:31.0699197Z [2022-11-23 01:29:16,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416
2022-11-23T01:32:31.0699452Z [2022-11-23 01:29:27,969] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.0699874Z [2022-11-23 01:29:28,042] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj374lfxwomg7bbig7ua24i36hl3eyranqkqzpnt4ezrjqk5p32e.py
2022-11-23T01:32:31.0700170Z [2022-11-23 01:29:28,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416
2022-11-23T01:32:31.0700377Z for key =  ('conv', 32, 128, 32, 32, 32, 128, 1, 1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:31.0700591Z timing {'aten.convolution': 0.053247999399900436, 'triton_ops.conv': 0.07101440280675887}
2022-11-23T01:32:31.0700688Z best_kernel aten.convolution
2022-11-23T01:32:31.0700694Z 
2022-11-23T01:32:31.0700794Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0700869Z import torch
2022-11-23T01:32:31.0700936Z import random
2022-11-23T01:32:31.0701057Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0701184Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0701189Z 
2022-11-23T01:32:31.0701271Z aten = torch.ops.aten
2022-11-23T01:32:31.0701416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0701516Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0701521Z 
2022-11-23T01:32:31.0701596Z import triton
2022-11-23T01:32:31.0701683Z import triton.language as tl
2022-11-23T01:32:31.0701808Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0701950Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0701956Z 
2022-11-23T01:32:31.0702108Z from torch._inductor.triton_ops.conv_perf_model import early_config_prune
2022-11-23T01:32:31.0702260Z from torch._inductor.triton_ops.conv_perf_model import estimate_conv_time
2022-11-23T01:32:31.0702400Z from torch._inductor.triton_ops.autotune import conv_heuristics
2022-11-23T01:32:31.0702405Z 
2022-11-23T01:32:31.0702410Z 
2022-11-23T01:32:31.0702581Z triton_fused_convolution0 = async_compile.triton('''
2022-11-23T01:32:31.0702657Z import triton
2022-11-23T01:32:31.0702742Z import triton.language as tl
2022-11-23T01:32:31.0702861Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.0702967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.0703105Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.0703231Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.0703236Z 
2022-11-23T01:32:31.0703614Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.0703688Z @triton.jit
2022-11-23T01:32:31.0703824Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.0703894Z     xnumel = 1048576
2022-11-23T01:32:31.0703994Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.0704126Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.0704211Z     xmask = xindex < xnumel
2022-11-23T01:32:31.0704283Z     x3 = xindex
2022-11-23T01:32:31.0704370Z     x1 = (xindex // 1024) % 32
2022-11-23T01:32:31.0704513Z     tmp0 = tl.load(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.0704645Z     tmp1 = tl.load(in_ptr0 + (x1 + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.0704728Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.0704866Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.0704952Z ''')
2022-11-23T01:32:31.0704957Z 
2022-11-23T01:32:31.0704962Z 
2022-11-23T01:32:31.0705058Z async_compile.wait(globals())
2022-11-23T01:32:31.0705136Z del async_compile
2022-11-23T01:32:31.0705141Z 
2022-11-23T01:32:31.0705219Z def call(args):
2022-11-23T01:32:31.0705309Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.0705377Z     args.clear()
2022-11-23T01:32:31.0705520Z     buf0 = aten.convolution(arg0_1, arg1_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:31.0705639Z     assert_size_stride(buf0, (32, 32, 32, 32), (32768, 1024, 32, 1))
2022-11-23T01:32:31.0705743Z     del arg0_1
2022-11-23T01:32:31.0705818Z     del arg1_1
2022-11-23T01:32:31.0705979Z     buf1 = as_strided(buf0, (32, 32, 32, 32), (32768, 1024, 32, 1)); del buf0  # reuse
2022-11-23T01:32:31.0706071Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.0706219Z     triton_fused_convolution0.run(buf1, arg2_1, 1048576, grid=grid(1048576), stream=stream0)
2022-11-23T01:32:31.0706294Z     del arg2_1
2022-11-23T01:32:31.0706375Z     return (buf1, )
2022-11-23T01:32:31.0706380Z 
2022-11-23T01:32:31.0706385Z 
2022-11-23T01:32:31.0706465Z if __name__ == "__main__":
2022-11-23T01:32:31.0706585Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0706712Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0706948Z     arg0_1 = rand_strided((32, 128, 32, 32), (131072, 1024, 32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0707169Z     arg1_1 = rand_strided((32, 128, 1, 1), (128, 1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0707363Z     arg2_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.0707496Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.0707501Z 
2022-11-23T01:32:31.0707573Z ok (11.812s)
2022-11-23T01:32:31.0707894Z   test_conv_backward_cuda (__main__.CudaTests) ... [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0708217Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0708442Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0708704Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0708988Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0709314Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0709664Z [2022-11-23 01:29:28,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0709985Z [2022-11-23 01:29:28,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0710445Z [2022-11-23 01:29:28,191] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279> 
2022-11-23T01:32:31.0710563Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0710704Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0710799Z                4 BUILD_LIST               0
2022-11-23T01:32:31.0710807Z 
2022-11-23T01:32:31.0710920Z 4282           6 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:31.0710926Z 
2022-11-23T01:32:31.0711021Z 4281           8 LIST_EXTEND              1
2022-11-23T01:32:31.0711026Z 
2022-11-23T01:32:31.0711123Z 4283          10 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0711218Z               12 BUILD_LIST               1
2022-11-23T01:32:31.0711223Z 
2022-11-23T01:32:31.0711311Z 4281          14 LIST_APPEND              1
2022-11-23T01:32:31.0711325Z 
2022-11-23T01:32:31.0711414Z 4284          16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0711512Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0711605Z               20 BUILD_LIST               2
2022-11-23T01:32:31.0711610Z 
2022-11-23T01:32:31.0711702Z 4281          22 LIST_APPEND              1
2022-11-23T01:32:31.0711707Z 
2022-11-23T01:32:31.0718292Z 4285          24 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0718475Z               26 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0718573Z               28 BUILD_LIST               2
2022-11-23T01:32:31.0718601Z 
2022-11-23T01:32:31.0718702Z 4281          30 LIST_APPEND              1
2022-11-23T01:32:31.0718708Z 
2022-11-23T01:32:31.0718797Z 4286          32 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0718893Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0718987Z               36 BUILD_LIST               2
2022-11-23T01:32:31.0718993Z 
2022-11-23T01:32:31.0719087Z 4281          38 LIST_APPEND              1
2022-11-23T01:32:31.0719092Z 
2022-11-23T01:32:31.0719194Z 4287          40 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0719199Z 
2022-11-23T01:32:31.0719294Z 4281          42 LIST_APPEND              1
2022-11-23T01:32:31.0719299Z 
2022-11-23T01:32:31.0719393Z 4288          44 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0719490Z               46 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0719577Z               48 BUILD_LIST               2
2022-11-23T01:32:31.0719592Z 
2022-11-23T01:32:31.0719680Z 4281          50 LIST_APPEND              1
2022-11-23T01:32:31.0719685Z 
2022-11-23T01:32:31.0719780Z 4289          52 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0719785Z 
2022-11-23T01:32:31.0719881Z 4281          54 LIST_APPEND              1
2022-11-23T01:32:31.0719886Z 
2022-11-23T01:32:31.0719978Z 4290          56 BUILD_LIST               0
2022-11-23T01:32:31.0720098Z               58 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0720190Z               60 LIST_EXTEND              1
2022-11-23T01:32:31.0720195Z 
2022-11-23T01:32:31.0720287Z 4281          62 LIST_APPEND              1
2022-11-23T01:32:31.0720375Z               64 LIST_TO_TUPLE
2022-11-23T01:32:31.0720465Z               66 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0720565Z               68 STORE_FAST               3 (out1)
2022-11-23T01:32:31.0720570Z 
2022-11-23T01:32:31.0720669Z 4292          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0720794Z               72 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0720891Z               74 BUILD_LIST               0
2022-11-23T01:32:31.0720896Z 
2022-11-23T01:32:31.0721006Z 4293          76 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:31.0721012Z 
2022-11-23T01:32:31.0721105Z 4292          78 LIST_EXTEND              1
2022-11-23T01:32:31.0721110Z 
2022-11-23T01:32:31.0721207Z 4294          80 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0721293Z               82 BUILD_LIST               1
2022-11-23T01:32:31.0721310Z 
2022-11-23T01:32:31.0721396Z 4292          84 LIST_APPEND              1
2022-11-23T01:32:31.0721400Z 
2022-11-23T01:32:31.0721498Z 4295          86 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0721593Z               88 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0721684Z               90 BUILD_LIST               2
2022-11-23T01:32:31.0721689Z 
2022-11-23T01:32:31.0721783Z 4292          92 LIST_APPEND              1
2022-11-23T01:32:31.0721790Z 
2022-11-23T01:32:31.0721886Z 4296          94 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0721983Z               96 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0722075Z               98 BUILD_LIST               2
2022-11-23T01:32:31.0722080Z 
2022-11-23T01:32:31.0722165Z 4292         100 LIST_APPEND              1
2022-11-23T01:32:31.0722170Z 
2022-11-23T01:32:31.0722267Z 4297         102 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0722362Z              104 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0722454Z              106 BUILD_LIST               2
2022-11-23T01:32:31.0722459Z 
2022-11-23T01:32:31.0722551Z 4292         108 LIST_APPEND              1
2022-11-23T01:32:31.0722556Z 
2022-11-23T01:32:31.0722659Z 4298         110 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0722665Z 
2022-11-23T01:32:31.0722757Z 4292         112 LIST_APPEND              1
2022-11-23T01:32:31.0722761Z 
2022-11-23T01:32:31.0722888Z 4299         114 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0722988Z              116 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0723093Z              118 BUILD_LIST               2
2022-11-23T01:32:31.0723098Z 
2022-11-23T01:32:31.0723192Z 4292         120 LIST_APPEND              1
2022-11-23T01:32:31.0723197Z 
2022-11-23T01:32:31.0723292Z 4300         122 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0723297Z 
2022-11-23T01:32:31.0723391Z 4292         124 LIST_APPEND              1
2022-11-23T01:32:31.0723396Z 
2022-11-23T01:32:31.0723491Z 4301         126 BUILD_LIST               0
2022-11-23T01:32:31.0723609Z              128 LOAD_CONST               5 ((True, False, False))
2022-11-23T01:32:31.0723703Z              130 LIST_EXTEND              1
2022-11-23T01:32:31.0723708Z 
2022-11-23T01:32:31.0723801Z 4292         132 LIST_APPEND              1
2022-11-23T01:32:31.0723878Z              134 LIST_TO_TUPLE
2022-11-23T01:32:31.0723974Z              136 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0724076Z              138 STORE_FAST               4 (out2)
2022-11-23T01:32:31.0724083Z 
2022-11-23T01:32:31.0724183Z 4303         140 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0724307Z              142 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0724401Z              144 BUILD_LIST               0
2022-11-23T01:32:31.0724406Z 
2022-11-23T01:32:31.0724515Z 4304         146 LOAD_FAST                1 (rank3_inps)
2022-11-23T01:32:31.0724521Z 
2022-11-23T01:32:31.0724613Z 4303         148 LIST_EXTEND              1
2022-11-23T01:32:31.0724617Z 
2022-11-23T01:32:31.0724714Z 4305         150 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0724799Z              152 BUILD_LIST               1
2022-11-23T01:32:31.0724804Z 
2022-11-23T01:32:31.0724898Z 4303         154 LIST_APPEND              1
2022-11-23T01:32:31.0724903Z 
2022-11-23T01:32:31.0724996Z 4306         156 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0725089Z              158 BUILD_LIST               1
2022-11-23T01:32:31.0725096Z 
2022-11-23T01:32:31.0725190Z 4303         160 LIST_APPEND              1
2022-11-23T01:32:31.0725197Z 
2022-11-23T01:32:31.0725291Z 4307         162 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0725384Z              164 BUILD_LIST               1
2022-11-23T01:32:31.0725389Z 
2022-11-23T01:32:31.0725480Z 4303         166 LIST_APPEND              1
2022-11-23T01:32:31.0725485Z 
2022-11-23T01:32:31.0725580Z 4308         168 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0725663Z              170 BUILD_LIST               1
2022-11-23T01:32:31.0725668Z 
2022-11-23T01:32:31.0725760Z 4303         172 LIST_APPEND              1
2022-11-23T01:32:31.0725765Z 
2022-11-23T01:32:31.0725864Z 4309         174 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0725869Z 
2022-11-23T01:32:31.0725960Z 4303         176 LIST_APPEND              1
2022-11-23T01:32:31.0725965Z 
2022-11-23T01:32:31.0726059Z 4310         178 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0726152Z              180 BUILD_LIST               1
2022-11-23T01:32:31.0726156Z 
2022-11-23T01:32:31.0726253Z 4303         182 LIST_APPEND              1
2022-11-23T01:32:31.0726258Z 
2022-11-23T01:32:31.0726353Z 4311         184 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0726358Z 
2022-11-23T01:32:31.0726451Z 4303         186 LIST_APPEND              1
2022-11-23T01:32:31.0726456Z 
2022-11-23T01:32:31.0726540Z 4312         188 BUILD_LIST               0
2022-11-23T01:32:31.0726657Z              190 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0726750Z              192 LIST_EXTEND              1
2022-11-23T01:32:31.0726755Z 
2022-11-23T01:32:31.0726850Z 4303         194 LIST_APPEND              1
2022-11-23T01:32:31.0726934Z              196 LIST_TO_TUPLE
2022-11-23T01:32:31.0727030Z              198 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0727132Z              200 STORE_FAST               5 (out3)
2022-11-23T01:32:31.0727137Z 
2022-11-23T01:32:31.0727238Z 4314         202 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0727376Z              204 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0727491Z              206 BUILD_LIST               0
2022-11-23T01:32:31.0727496Z 
2022-11-23T01:32:31.0727607Z 4315         208 LOAD_FAST                2 (rank5_inps)
2022-11-23T01:32:31.0727612Z 
2022-11-23T01:32:31.0727709Z 4314         210 LIST_EXTEND              1
2022-11-23T01:32:31.0727714Z 
2022-11-23T01:32:31.0727810Z 4316         212 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0727902Z              214 BUILD_LIST               1
2022-11-23T01:32:31.0727907Z 
2022-11-23T01:32:31.0728001Z 4314         216 LIST_APPEND              1
2022-11-23T01:32:31.0728006Z 
2022-11-23T01:32:31.0728096Z 4317         218 BUILD_LIST               0
2022-11-23T01:32:31.0728198Z              220 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:31.0728283Z              222 LIST_EXTEND              1
2022-11-23T01:32:31.0728288Z 
2022-11-23T01:32:31.0728384Z 4314         224 LIST_APPEND              1
2022-11-23T01:32:31.0728389Z 
2022-11-23T01:32:31.0728482Z 4318         226 BUILD_LIST               0
2022-11-23T01:32:31.0728584Z              228 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:31.0728676Z              230 LIST_EXTEND              1
2022-11-23T01:32:31.0728681Z 
2022-11-23T01:32:31.0728779Z 4314         232 LIST_APPEND              1
2022-11-23T01:32:31.0728783Z 
2022-11-23T01:32:31.0728874Z 4319         234 BUILD_LIST               0
2022-11-23T01:32:31.0728975Z              236 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:31.0729060Z              238 LIST_EXTEND              1
2022-11-23T01:32:31.0729065Z 
2022-11-23T01:32:31.0729158Z 4314         240 LIST_APPEND              1
2022-11-23T01:32:31.0729163Z 
2022-11-23T01:32:31.0729263Z 4320         242 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0729268Z 
2022-11-23T01:32:31.0729362Z 4314         244 LIST_APPEND              1
2022-11-23T01:32:31.0729367Z 
2022-11-23T01:32:31.0729463Z 4321         246 BUILD_LIST               0
2022-11-23T01:32:31.0729568Z              248 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:31.0729661Z              250 LIST_EXTEND              1
2022-11-23T01:32:31.0729666Z 
2022-11-23T01:32:31.0729759Z 4314         252 LIST_APPEND              1
2022-11-23T01:32:31.0729764Z 
2022-11-23T01:32:31.0729860Z 4322         254 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0729865Z 
2022-11-23T01:32:31.0729951Z 4314         256 LIST_APPEND              1
2022-11-23T01:32:31.0729963Z 
2022-11-23T01:32:31.0730047Z 4323         258 BUILD_LIST               0
2022-11-23T01:32:31.0730163Z              260 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0730255Z              262 LIST_EXTEND              1
2022-11-23T01:32:31.0730260Z 
2022-11-23T01:32:31.0730354Z 4314         264 LIST_APPEND              1
2022-11-23T01:32:31.0730437Z              266 LIST_TO_TUPLE
2022-11-23T01:32:31.0730533Z              268 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0730634Z              270 STORE_FAST               6 (out4)
2022-11-23T01:32:31.0730642Z 
2022-11-23T01:32:31.0730732Z 4325         272 LOAD_FAST                3 (out1)
2022-11-23T01:32:31.0730828Z              274 LOAD_FAST                4 (out2)
2022-11-23T01:32:31.0730922Z              276 LOAD_FAST                5 (out3)
2022-11-23T01:32:31.0731016Z              278 LOAD_FAST                6 (out4)
2022-11-23T01:32:31.0731110Z              280 BUILD_TUPLE              4
2022-11-23T01:32:31.0731197Z              282 RETURN_VALUE
2022-11-23T01:32:31.0731266Z  
2022-11-23T01:32:31.0731271Z 
2022-11-23T01:32:31.0731621Z [2022-11-23 01:29:28,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0731838Z [2022-11-23 01:29:28,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0732199Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0732499Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0732813Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282
2022-11-23T01:32:31.0733126Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0733435Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0733764Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0734070Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283
2022-11-23T01:32:31.0734374Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0734707Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0735017Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0735335Z [2022-11-23 01:29:28,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0735645Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284
2022-11-23T01:32:31.0735947Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0736288Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0736655Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0736959Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0737283Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0737589Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285
2022-11-23T01:32:31.0737888Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0738214Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0738584Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0739114Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0739492Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0739833Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286
2022-11-23T01:32:31.0740136Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0740473Z [2022-11-23 01:29:28,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0740845Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0741157Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0741488Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0741802Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287
2022-11-23T01:32:31.0742111Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0742423Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0742768Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0743080Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288
2022-11-23T01:32:31.0743374Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0743707Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0744078Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0744392Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0744723Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0745031Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289
2022-11-23T01:32:31.0745337Z [2022-11-23 01:29:28,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0745643Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0745984Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0746288Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290
2022-11-23T01:32:31.0746645Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0747018Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0747378Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0747688Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0748013Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0748322Z [2022-11-23 01:29:28,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0748635Z [2022-11-23 01:29:28,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0748877Z [2022-11-23 01:29:28,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T01:32:31.0749187Z [2022-11-23 01:29:28,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0749407Z [2022-11-23 01:29:28,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0749737Z [2022-11-23 01:29:28,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0750015Z [2022-11-23 01:29:28,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0750413Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293
2022-11-23T01:32:31.0750759Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0751063Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0751390Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0751693Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294
2022-11-23T01:32:31.0751996Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0752330Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0752634Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0752959Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0753262Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295
2022-11-23T01:32:31.0753559Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0753925Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0754312Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0754616Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0754937Z [2022-11-23 01:29:28,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0755239Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296
2022-11-23T01:32:31.0755541Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0755874Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0756241Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0756546Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0756866Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0757168Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297
2022-11-23T01:32:31.0757469Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0757798Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0758161Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0758470Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0758795Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0759105Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298
2022-11-23T01:32:31.0759420Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0759735Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0760082Z [2022-11-23 01:29:28,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0760391Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299
2022-11-23T01:32:31.0760691Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0761079Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0761464Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0761770Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0762082Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0762406Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300
2022-11-23T01:32:31.0762735Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0763040Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0763372Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0763676Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301
2022-11-23T01:32:31.0763974Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0764322Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0764685Z [2022-11-23 01:29:28,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0764994Z [2022-11-23 01:29:28,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0765316Z [2022-11-23 01:29:28,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0765625Z [2022-11-23 01:29:28,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0765934Z [2022-11-23 01:29:28,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0766181Z [2022-11-23 01:29:28,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T01:32:31.0766493Z [2022-11-23 01:29:28,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0766713Z [2022-11-23 01:29:28,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0767047Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0767329Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0767642Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304
2022-11-23T01:32:31.0767980Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0768313Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0768639Z [2022-11-23 01:29:28,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0768947Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305
2022-11-23T01:32:31.0769241Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0769579Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0769892Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0770223Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0770526Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306
2022-11-23T01:32:31.0770821Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0771158Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0771469Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0771793Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0772095Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307
2022-11-23T01:32:31.0772397Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0772721Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0773026Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0773352Z [2022-11-23 01:29:28,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0773657Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308
2022-11-23T01:32:31.0773954Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0774283Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0774587Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0774938Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0775267Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309
2022-11-23T01:32:31.0775571Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0775881Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0776222Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0776525Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310
2022-11-23T01:32:31.0776825Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0777159Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0777463Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0777783Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0778084Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311
2022-11-23T01:32:31.0778377Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0778679Z [2022-11-23 01:29:28,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0779211Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0779520Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312
2022-11-23T01:32:31.0779816Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0780150Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0780517Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0780824Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0781147Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0781452Z [2022-11-23 01:29:28,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0781778Z [2022-11-23 01:29:28,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0782059Z [2022-11-23 01:29:28,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T01:32:31.0782416Z [2022-11-23 01:29:28,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0782662Z [2022-11-23 01:29:28,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0782989Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0783265Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0783563Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315
2022-11-23T01:32:31.0783869Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0784174Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0784500Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0784800Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316
2022-11-23T01:32:31.0785096Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0785424Z [2022-11-23 01:29:28,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0785733Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0786057Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0786362Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317
2022-11-23T01:32:31.0786660Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0786985Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0787344Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0787656Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0787987Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0788295Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318
2022-11-23T01:32:31.0788596Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0788922Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0789310Z [2022-11-23 01:29:28,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0789637Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0789958Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0790360Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319
2022-11-23T01:32:31.0790699Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0791046Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0791399Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0791705Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0792024Z [2022-11-23 01:29:28,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0792327Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320
2022-11-23T01:32:31.0792631Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0792933Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0793273Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0793576Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321
2022-11-23T01:32:31.0793874Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0794197Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0794560Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0794861Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0795177Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0795475Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322
2022-11-23T01:32:31.0795770Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0796069Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0796429Z [2022-11-23 01:29:28,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0796753Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323
2022-11-23T01:32:31.0797045Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0797390Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0797749Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0798055Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0798378Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0798678Z [2022-11-23 01:29:28,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0798991Z [2022-11-23 01:29:28,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0799232Z [2022-11-23 01:29:28,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T01:32:31.0799540Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325
2022-11-23T01:32:31.0799754Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T01:32:31.0800007Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T01:32:31.0800276Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0800572Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0800891Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0801143Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0801525Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279>
2022-11-23T01:32:31.0801771Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0802013Z [2022-11-23 01:29:28,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0802273Z [2022-11-23 01:29:28,241] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0802528Z [2022-11-23 01:29:28,250] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0802723Z [2022-11-23 01:29:28,250] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0802868Z  __compiled_fn_427 <eval_with_key>.2638 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0802966Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T01:32:31.0803061Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T01:32:31.0803146Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T01:32:31.0803239Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T01:32:31.0803360Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T01:32:31.0803484Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T01:32:31.0803575Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T01:32:31.0803667Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T01:32:31.0803759Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T01:32:31.0803959Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0804183Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T01:32:31.0804402Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T01:32:31.0804618Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T01:32:31.0804825Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T01:32:31.0805050Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T01:32:31.0805255Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0805479Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T01:32:31.0805698Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T01:32:31.0805905Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T01:32:31.0806113Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0806327Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T01:32:31.0806547Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T01:32:31.0806764Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T01:32:31.0806970Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T01:32:31.0806976Z 
2022-11-23T01:32:31.0807302Z [2022-11-23 01:29:28,251] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0807404Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0807502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0807589Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0807690Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0807782Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0807880Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0807963Z              12 RETURN_VALUE
2022-11-23T01:32:31.0807971Z 
2022-11-23T01:32:31.0808036Z  
2022-11-23T01:32:31.0808358Z [2022-11-23 01:29:28,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0808477Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_427)
2022-11-23T01:32:31.0808567Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0808665Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0808749Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0808848Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0808931Z              10 BINARY_SUBSCR
2022-11-23T01:32:31.0809026Z              12 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0809119Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0809194Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0809288Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0809402Z              20 BINARY_SUBSCR
2022-11-23T01:32:31.0809519Z              22 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0809615Z              24 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0809697Z              26 BINARY_SUBSCR
2022-11-23T01:32:31.0809795Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0809870Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.0809966Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0810060Z              34 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0810142Z              36 BINARY_SUBSCR
2022-11-23T01:32:31.0810237Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0810320Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.0810416Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0810501Z              44 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0810583Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.0810680Z              48 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0810763Z              50 BINARY_SUBSCR
2022-11-23T01:32:31.0810865Z              52 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0810957Z              54 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0811039Z              56 BINARY_SUBSCR
2022-11-23T01:32:31.0811124Z              58 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0811206Z              60 BINARY_SUBSCR
2022-11-23T01:32:31.0811303Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0811396Z              64 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0811478Z              66 BINARY_SUBSCR
2022-11-23T01:32:31.0811573Z              68 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0811655Z              70 BINARY_SUBSCR
2022-11-23T01:32:31.0811743Z              72 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0811836Z              74 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0811936Z              76 BINARY_SUBSCR
2022-11-23T01:32:31.0812041Z              78 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0812146Z              80 BINARY_SUBSCR
2022-11-23T01:32:31.0812246Z              82 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0812339Z              84 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0812414Z              86 BINARY_SUBSCR
2022-11-23T01:32:31.0812507Z              88 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0812589Z              90 BINARY_SUBSCR
2022-11-23T01:32:31.0812684Z              92 CALL_FUNCTION            9
2022-11-23T01:32:31.0812798Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0812938Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.0813043Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.0813140Z             100 CALL_FUNCTION            0
2022-11-23T01:32:31.0813236Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.0813348Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0813443Z             106 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0813530Z             108 BINARY_SUBSCR
2022-11-23T01:32:31.0813641Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0813739Z             112 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0813821Z             114 BINARY_SUBSCR
2022-11-23T01:32:31.0813923Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0814018Z             118 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0814099Z             120 BINARY_SUBSCR
2022-11-23T01:32:31.0814193Z             122 BUILD_TUPLE              3
2022-11-23T01:32:31.0814302Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0814396Z             126 LOAD_CONST               4 (3)
2022-11-23T01:32:31.0814477Z             128 BINARY_SUBSCR
2022-11-23T01:32:31.0814569Z             130 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0814695Z             132 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0814809Z             134 BUILD_TUPLE              3
2022-11-23T01:32:31.0814917Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0815011Z             138 LOAD_CONST               5 (4)
2022-11-23T01:32:31.0815093Z             140 BINARY_SUBSCR
2022-11-23T01:32:31.0815203Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0815291Z             144 LOAD_CONST               6 (5)
2022-11-23T01:32:31.0815372Z             146 BINARY_SUBSCR
2022-11-23T01:32:31.0815479Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0815573Z             150 LOAD_CONST               7 (6)
2022-11-23T01:32:31.0815654Z             152 BINARY_SUBSCR
2022-11-23T01:32:31.0815748Z             154 BUILD_TUPLE              3
2022-11-23T01:32:31.0815856Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0815944Z             158 LOAD_CONST               8 (7)
2022-11-23T01:32:31.0816028Z             160 BINARY_SUBSCR
2022-11-23T01:32:31.0816137Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0816231Z             164 LOAD_CONST               9 (8)
2022-11-23T01:32:31.0816313Z             166 BINARY_SUBSCR
2022-11-23T01:32:31.0816421Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0816515Z             170 LOAD_CONST              10 (9)
2022-11-23T01:32:31.0816589Z             172 BINARY_SUBSCR
2022-11-23T01:32:31.0816683Z             174 BUILD_TUPLE              3
2022-11-23T01:32:31.0816778Z             176 BUILD_TUPLE              4
2022-11-23T01:32:31.0816877Z             178 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0816986Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.0817081Z             182 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0817163Z             184 BINARY_SUBSCR
2022-11-23T01:32:31.0817275Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.0817368Z             188 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0817475Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.0817568Z             192 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0817649Z             194 BINARY_SUBSCR
2022-11-23T01:32:31.0817760Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.0817841Z             198 RETURN_VALUE
2022-11-23T01:32:31.0817846Z 
2022-11-23T01:32:31.0817912Z  
2022-11-23T01:32:31.0818099Z [2022-11-23 01:29:28,253] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0818176Z  - 
2022-11-23T01:32:31.0818299Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0818370Z             {
2022-11-23T01:32:31.0818516Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0818706Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.0818951Z                 'obj_weakref': None
2022-11-23T01:32:31.0819204Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0819281Z             }
2022-11-23T01:32:31.0819350Z             
2022-11-23T01:32:31.0819428Z  - 
2022-11-23T01:32:31.0819567Z             local 'ex[0]' LIST_LENGTH
2022-11-23T01:32:31.0819638Z             {
2022-11-23T01:32:31.0819796Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0820008Z                 'code': ['___check_type_id(ex[0], 94768292482624)', 'len(ex[0]) == 3'],
2022-11-23T01:32:31.0820141Z                 'obj_weakref': None
2022-11-23T01:32:31.0820390Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0820462Z             }
2022-11-23T01:32:31.0820536Z             
2022-11-23T01:32:31.0820613Z  - 
2022-11-23T01:32:31.0820751Z             local 'ex[1]' LIST_LENGTH
2022-11-23T01:32:31.0820813Z             {
2022-11-23T01:32:31.0820970Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0821238Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3'],
2022-11-23T01:32:31.0821387Z                 'obj_weakref': None
2022-11-23T01:32:31.0821614Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0821684Z             }
2022-11-23T01:32:31.0821752Z             
2022-11-23T01:32:31.0821821Z  - 
2022-11-23T01:32:31.0821946Z             local 'ex[2]' LIST_LENGTH
2022-11-23T01:32:31.0822014Z             {
2022-11-23T01:32:31.0822159Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0822355Z                 'code': ['___check_type_id(ex[2], 94768292482624)', 'len(ex[2]) == 3'],
2022-11-23T01:32:31.0822478Z                 'obj_weakref': None
2022-11-23T01:32:31.0822703Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0822765Z             }
2022-11-23T01:32:31.0822834Z             
2022-11-23T01:32:31.0822911Z  - 
2022-11-23T01:32:31.0823048Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0823120Z             {
2022-11-23T01:32:31.0823262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0823439Z                 'code': ['___check_obj_id(model, 139775922369680)'],
2022-11-23T01:32:31.0823556Z                 'obj_weakref': None
2022-11-23T01:32:31.0823788Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0823859Z             }
2022-11-23T01:32:31.0823928Z             
2022-11-23T01:32:31.0824003Z  - 
2022-11-23T01:32:31.0824129Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0824199Z             {
2022-11-23T01:32:31.0824334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0824553Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0824675Z                 'obj_weakref': None
2022-11-23T01:32:31.0824898Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0824970Z             }
2022-11-23T01:32:31.0825039Z             
2022-11-23T01:32:31.0825117Z  - 
2022-11-23T01:32:31.0825244Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T01:32:31.0825315Z             {
2022-11-23T01:32:31.0825463Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0825576Z                 'code': None,
2022-11-23T01:32:31.0825787Z                 'obj_weakref': <weakref at 0x7f2023339d00; to 'Tensor' at 0x7f21276d42c0>
2022-11-23T01:32:31.0826039Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0826109Z             }
2022-11-23T01:32:31.0826170Z             
2022-11-23T01:32:31.0826247Z  - 
2022-11-23T01:32:31.0826380Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T01:32:31.0826449Z             {
2022-11-23T01:32:31.0826599Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0826711Z                 'code': None,
2022-11-23T01:32:31.0826927Z                 'obj_weakref': <weakref at 0x7f1fd8355b70; to 'Tensor' at 0x7f21276d4220>
2022-11-23T01:32:31.0827170Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0827241Z             }
2022-11-23T01:32:31.0827310Z             
2022-11-23T01:32:31.0827385Z  - 
2022-11-23T01:32:31.0827518Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T01:32:31.0827587Z             {
2022-11-23T01:32:31.0827734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0827839Z                 'code': None,
2022-11-23T01:32:31.0828052Z                 'obj_weakref': <weakref at 0x7f1fd8357dd0; to 'Tensor' at 0x7f201e20e160>
2022-11-23T01:32:31.0828302Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0828371Z             }
2022-11-23T01:32:31.0828473Z             
2022-11-23T01:32:31.0828553Z  - 
2022-11-23T01:32:31.0828706Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T01:32:31.0828768Z             {
2022-11-23T01:32:31.0828916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0829028Z                 'code': None,
2022-11-23T01:32:31.0829239Z                 'obj_weakref': <weakref at 0x7f2022f13ab0; to 'Tensor' at 0x7f201e20dd50>
2022-11-23T01:32:31.0829484Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0829554Z             }
2022-11-23T01:32:31.0829625Z             
2022-11-23T01:32:31.0829693Z  - 
2022-11-23T01:32:31.0829825Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T01:32:31.0829893Z             {
2022-11-23T01:32:31.0830040Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0830151Z                 'code': None,
2022-11-23T01:32:31.0830439Z                 'obj_weakref': <weakref at 0x7f2022f12020; to 'Tensor' at 0x7f201e20c3b0>
2022-11-23T01:32:31.0830722Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0830785Z             }
2022-11-23T01:32:31.0830857Z             
2022-11-23T01:32:31.0830934Z  - 
2022-11-23T01:32:31.0831066Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T01:32:31.0831138Z             {
2022-11-23T01:32:31.0831287Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0831399Z                 'code': None,
2022-11-23T01:32:31.0831603Z                 'obj_weakref': <weakref at 0x7f2022f134c0; to 'Tensor' at 0x7f201e20fb50>
2022-11-23T01:32:31.0831849Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0831919Z             }
2022-11-23T01:32:31.0831990Z             
2022-11-23T01:32:31.0832067Z  - 
2022-11-23T01:32:31.0832199Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T01:32:31.0832271Z             {
2022-11-23T01:32:31.0832411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0832527Z                 'code': None,
2022-11-23T01:32:31.0832737Z                 'obj_weakref': <weakref at 0x7f2022f11c60; to 'Tensor' at 0x7f215801b330>
2022-11-23T01:32:31.0832983Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0833054Z             }
2022-11-23T01:32:31.0833122Z             
2022-11-23T01:32:31.0833198Z  - 
2022-11-23T01:32:31.0833323Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T01:32:31.0833395Z             {
2022-11-23T01:32:31.0833541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0833652Z                 'code': None,
2022-11-23T01:32:31.0833858Z                 'obj_weakref': <weakref at 0x7f20233b3380; to 'Tensor' at 0x7f2128464b30>
2022-11-23T01:32:31.0834106Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0834179Z             }
2022-11-23T01:32:31.0834241Z             
2022-11-23T01:32:31.0834316Z  - 
2022-11-23T01:32:31.0834449Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T01:32:31.0834518Z             {
2022-11-23T01:32:31.0834664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0834775Z                 'code': None,
2022-11-23T01:32:31.0834986Z                 'obj_weakref': <weakref at 0x7f20233b1a30; to 'Tensor' at 0x7f2115ad93a0>
2022-11-23T01:32:31.0835226Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0835295Z             }
2022-11-23T01:32:31.0835367Z             
2022-11-23T01:32:31.0835443Z  - 
2022-11-23T01:32:31.0835633Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:31.0835703Z             {
2022-11-23T01:32:31.0835846Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0836149Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292480384)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T01:32:31.0836296Z                 'obj_weakref': None
2022-11-23T01:32:31.0836516Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0836585Z             }
2022-11-23T01:32:31.0836653Z             
2022-11-23T01:32:31.0836729Z  - 
2022-11-23T01:32:31.0836865Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0836927Z             {
2022-11-23T01:32:31.0837053Z                 'guard_types': None,
2022-11-23T01:32:31.0837164Z                 'code': None,
2022-11-23T01:32:31.0837286Z                 'obj_weakref': None
2022-11-23T01:32:31.0837412Z                 'guarded_class': None
2022-11-23T01:32:31.0837480Z             }
2022-11-23T01:32:31.0837549Z             
2022-11-23T01:32:31.0837810Z [2022-11-23 01:29:28,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417
2022-11-23T01:32:31.0838173Z [2022-11-23 01:29:28,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hs/chs543c3oofucoelwxa563unr3uj4qsbw6nizj3vkyurwknoirio.py
2022-11-23T01:32:31.0838445Z [2022-11-23 01:29:28,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417
2022-11-23T01:32:31.0838686Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0839001Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0839224Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0839485Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.0839766Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.0840087Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0840428Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0840740Z [2022-11-23 01:29:28,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0841111Z [2022-11-23 01:29:28,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279> 
2022-11-23T01:32:31.0841216Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0841339Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0841436Z                4 BUILD_LIST               0
2022-11-23T01:32:31.0841444Z 
2022-11-23T01:32:31.0841555Z 4282           6 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:31.0841561Z 
2022-11-23T01:32:31.0841657Z 4281           8 LIST_EXTEND              1
2022-11-23T01:32:31.0841663Z 
2022-11-23T01:32:31.0841763Z 4283          10 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0841858Z               12 BUILD_LIST               1
2022-11-23T01:32:31.0841863Z 
2022-11-23T01:32:31.0841959Z 4281          14 LIST_APPEND              1
2022-11-23T01:32:31.0841964Z 
2022-11-23T01:32:31.0842053Z 4284          16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0842149Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0842241Z               20 BUILD_LIST               2
2022-11-23T01:32:31.0842246Z 
2022-11-23T01:32:31.0842340Z 4281          22 LIST_APPEND              1
2022-11-23T01:32:31.0842345Z 
2022-11-23T01:32:31.0842472Z 4285          24 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0842587Z               26 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0842714Z               28 BUILD_LIST               2
2022-11-23T01:32:31.0842720Z 
2022-11-23T01:32:31.0842830Z 4281          30 LIST_APPEND              1
2022-11-23T01:32:31.0842835Z 
2022-11-23T01:32:31.0842923Z 4286          32 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0843017Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0843108Z               36 BUILD_LIST               2
2022-11-23T01:32:31.0843113Z 
2022-11-23T01:32:31.0843206Z 4281          38 LIST_APPEND              1
2022-11-23T01:32:31.0843211Z 
2022-11-23T01:32:31.0843312Z 4287          40 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0843318Z 
2022-11-23T01:32:31.0843411Z 4281          42 LIST_APPEND              1
2022-11-23T01:32:31.0843416Z 
2022-11-23T01:32:31.0843511Z 4288          44 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0843606Z               46 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0843699Z               48 BUILD_LIST               2
2022-11-23T01:32:31.0843706Z 
2022-11-23T01:32:31.0843791Z 4281          50 LIST_APPEND              1
2022-11-23T01:32:31.0843796Z 
2022-11-23T01:32:31.0843892Z 4289          52 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0843897Z 
2022-11-23T01:32:31.0843992Z 4281          54 LIST_APPEND              1
2022-11-23T01:32:31.0843997Z 
2022-11-23T01:32:31.0844087Z 4290          56 BUILD_LIST               0
2022-11-23T01:32:31.0844205Z               58 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0844298Z               60 LIST_EXTEND              1
2022-11-23T01:32:31.0844303Z 
2022-11-23T01:32:31.0844395Z 4281          62 LIST_APPEND              1
2022-11-23T01:32:31.0844480Z               64 LIST_TO_TUPLE
2022-11-23T01:32:31.0844569Z               66 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0844670Z               68 STORE_FAST               3 (out1)
2022-11-23T01:32:31.0844675Z 
2022-11-23T01:32:31.0844776Z 4292          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0844898Z               72 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0844992Z               74 BUILD_LIST               0
2022-11-23T01:32:31.0844997Z 
2022-11-23T01:32:31.0845105Z 4293          76 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:31.0845110Z 
2022-11-23T01:32:31.0845203Z 4292          78 LIST_EXTEND              1
2022-11-23T01:32:31.0845208Z 
2022-11-23T01:32:31.0845304Z 4294          80 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0845395Z               82 BUILD_LIST               1
2022-11-23T01:32:31.0845400Z 
2022-11-23T01:32:31.0845486Z 4292          84 LIST_APPEND              1
2022-11-23T01:32:31.0845491Z 
2022-11-23T01:32:31.0845589Z 4295          86 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0845684Z               88 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0845778Z               90 BUILD_LIST               2
2022-11-23T01:32:31.0845783Z 
2022-11-23T01:32:31.0845879Z 4292          92 LIST_APPEND              1
2022-11-23T01:32:31.0845886Z 
2022-11-23T01:32:31.0845980Z 4296          94 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0846074Z               96 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0846166Z               98 BUILD_LIST               2
2022-11-23T01:32:31.0846170Z 
2022-11-23T01:32:31.0846256Z 4292         100 LIST_APPEND              1
2022-11-23T01:32:31.0846268Z 
2022-11-23T01:32:31.0846354Z 4297         102 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0846450Z              104 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0846542Z              106 BUILD_LIST               2
2022-11-23T01:32:31.0846546Z 
2022-11-23T01:32:31.0846637Z 4292         108 LIST_APPEND              1
2022-11-23T01:32:31.0846642Z 
2022-11-23T01:32:31.0846742Z 4298         110 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0846748Z 
2022-11-23T01:32:31.0846840Z 4292         112 LIST_APPEND              1
2022-11-23T01:32:31.0846870Z 
2022-11-23T01:32:31.0846967Z 4299         114 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0847094Z              116 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0847179Z              118 BUILD_LIST               2
2022-11-23T01:32:31.0847183Z 
2022-11-23T01:32:31.0847276Z 4292         120 LIST_APPEND              1
2022-11-23T01:32:31.0847281Z 
2022-11-23T01:32:31.0847375Z 4300         122 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0847380Z 
2022-11-23T01:32:31.0847473Z 4292         124 LIST_APPEND              1
2022-11-23T01:32:31.0847478Z 
2022-11-23T01:32:31.0847573Z 4301         126 BUILD_LIST               0
2022-11-23T01:32:31.0847692Z              128 LOAD_CONST               5 ((True, False, False))
2022-11-23T01:32:31.0847786Z              130 LIST_EXTEND              1
2022-11-23T01:32:31.0847791Z 
2022-11-23T01:32:31.0847886Z 4292         132 LIST_APPEND              1
2022-11-23T01:32:31.0847970Z              134 LIST_TO_TUPLE
2022-11-23T01:32:31.0848062Z              136 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0848164Z              138 STORE_FAST               4 (out2)
2022-11-23T01:32:31.0848169Z 
2022-11-23T01:32:31.0848267Z 4303         140 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0848384Z              142 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0848477Z              144 BUILD_LIST               0
2022-11-23T01:32:31.0848482Z 
2022-11-23T01:32:31.0848592Z 4304         146 LOAD_FAST                1 (rank3_inps)
2022-11-23T01:32:31.0848597Z 
2022-11-23T01:32:31.0848689Z 4303         148 LIST_EXTEND              1
2022-11-23T01:32:31.0848694Z 
2022-11-23T01:32:31.0848790Z 4305         150 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0848875Z              152 BUILD_LIST               1
2022-11-23T01:32:31.0848880Z 
2022-11-23T01:32:31.0848973Z 4303         154 LIST_APPEND              1
2022-11-23T01:32:31.0848978Z 
2022-11-23T01:32:31.0849074Z 4306         156 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0849167Z              158 BUILD_LIST               1
2022-11-23T01:32:31.0849175Z 
2022-11-23T01:32:31.0849269Z 4303         160 LIST_APPEND              1
2022-11-23T01:32:31.0849274Z 
2022-11-23T01:32:31.0849368Z 4307         162 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0849461Z              164 BUILD_LIST               1
2022-11-23T01:32:31.0849466Z 
2022-11-23T01:32:31.0849558Z 4303         166 LIST_APPEND              1
2022-11-23T01:32:31.0849562Z 
2022-11-23T01:32:31.0849656Z 4308         168 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0849740Z              170 BUILD_LIST               1
2022-11-23T01:32:31.0849744Z 
2022-11-23T01:32:31.0849840Z 4303         172 LIST_APPEND              1
2022-11-23T01:32:31.0849845Z 
2022-11-23T01:32:31.0849943Z 4309         174 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0849948Z 
2022-11-23T01:32:31.0850039Z 4303         176 LIST_APPEND              1
2022-11-23T01:32:31.0850044Z 
2022-11-23T01:32:31.0850141Z 4310         178 LOAD_CONST               2 (0)
2022-11-23T01:32:31.0850232Z              180 BUILD_LIST               1
2022-11-23T01:32:31.0850240Z 
2022-11-23T01:32:31.0850332Z 4303         182 LIST_APPEND              1
2022-11-23T01:32:31.0850337Z 
2022-11-23T01:32:31.0850433Z 4311         184 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0850438Z 
2022-11-23T01:32:31.0850532Z 4303         186 LIST_APPEND              1
2022-11-23T01:32:31.0850537Z 
2022-11-23T01:32:31.0850627Z 4312         188 BUILD_LIST               0
2022-11-23T01:32:31.0850735Z              190 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0850830Z              192 LIST_EXTEND              1
2022-11-23T01:32:31.0850834Z 
2022-11-23T01:32:31.0850929Z 4303         194 LIST_APPEND              1
2022-11-23T01:32:31.0851013Z              196 LIST_TO_TUPLE
2022-11-23T01:32:31.0851107Z              198 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0851208Z              200 STORE_FAST               5 (out3)
2022-11-23T01:32:31.0851213Z 
2022-11-23T01:32:31.0851347Z 4314         202 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.0851481Z              204 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:31.0851575Z              206 BUILD_LIST               0
2022-11-23T01:32:31.0851580Z 
2022-11-23T01:32:31.0851688Z 4315         208 LOAD_FAST                2 (rank5_inps)
2022-11-23T01:32:31.0851693Z 
2022-11-23T01:32:31.0851786Z 4314         210 LIST_EXTEND              1
2022-11-23T01:32:31.0851790Z 
2022-11-23T01:32:31.0851887Z 4316         212 LOAD_DEREF               0 (C)
2022-11-23T01:32:31.0851980Z              214 BUILD_LIST               1
2022-11-23T01:32:31.0851985Z 
2022-11-23T01:32:31.0852079Z 4314         216 LIST_APPEND              1
2022-11-23T01:32:31.0852084Z 
2022-11-23T01:32:31.0852176Z 4317         218 BUILD_LIST               0
2022-11-23T01:32:31.0852279Z              220 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:31.0852364Z              222 LIST_EXTEND              1
2022-11-23T01:32:31.0852371Z 
2022-11-23T01:32:31.0852464Z 4314         224 LIST_APPEND              1
2022-11-23T01:32:31.0852471Z 
2022-11-23T01:32:31.0852562Z 4318         226 BUILD_LIST               0
2022-11-23T01:32:31.0852663Z              228 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:31.0852755Z              230 LIST_EXTEND              1
2022-11-23T01:32:31.0852760Z 
2022-11-23T01:32:31.0852858Z 4314         232 LIST_APPEND              1
2022-11-23T01:32:31.0852863Z 
2022-11-23T01:32:31.0852954Z 4319         234 BUILD_LIST               0
2022-11-23T01:32:31.0853055Z              236 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:32:31.0853140Z              238 LIST_EXTEND              1
2022-11-23T01:32:31.0853153Z 
2022-11-23T01:32:31.0853239Z 4314         240 LIST_APPEND              1
2022-11-23T01:32:31.0853243Z 
2022-11-23T01:32:31.0853345Z 4320         242 LOAD_CONST               3 (False)
2022-11-23T01:32:31.0853350Z 
2022-11-23T01:32:31.0853444Z 4314         244 LIST_APPEND              1
2022-11-23T01:32:31.0853450Z 
2022-11-23T01:32:31.0853547Z 4321         246 BUILD_LIST               0
2022-11-23T01:32:31.0853647Z              248 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:32:31.0853740Z              250 LIST_EXTEND              1
2022-11-23T01:32:31.0853745Z 
2022-11-23T01:32:31.0853839Z 4314         252 LIST_APPEND              1
2022-11-23T01:32:31.0853844Z 
2022-11-23T01:32:31.0853938Z 4322         254 LOAD_CONST               1 (1)
2022-11-23T01:32:31.0853943Z 
2022-11-23T01:32:31.0854035Z 4314         256 LIST_APPEND              1
2022-11-23T01:32:31.0854040Z 
2022-11-23T01:32:31.0854124Z 4323         258 BUILD_LIST               0
2022-11-23T01:32:31.0854239Z              260 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:32:31.0854332Z              262 LIST_EXTEND              1
2022-11-23T01:32:31.0854336Z 
2022-11-23T01:32:31.0854433Z 4314         264 LIST_APPEND              1
2022-11-23T01:32:31.0854516Z              266 LIST_TO_TUPLE
2022-11-23T01:32:31.0854616Z              268 CALL_FUNCTION_EX         0
2022-11-23T01:32:31.0854718Z              270 STORE_FAST               6 (out4)
2022-11-23T01:32:31.0854723Z 
2022-11-23T01:32:31.0854821Z 4325         272 LOAD_FAST                3 (out1)
2022-11-23T01:32:31.0854910Z              274 LOAD_FAST                4 (out2)
2022-11-23T01:32:31.0855009Z              276 LOAD_FAST                5 (out3)
2022-11-23T01:32:31.0855107Z              278 LOAD_FAST                6 (out4)
2022-11-23T01:32:31.0855201Z              280 BUILD_TUPLE              4
2022-11-23T01:32:31.0855285Z              282 RETURN_VALUE
2022-11-23T01:32:31.0855351Z  
2022-11-23T01:32:31.0855356Z 
2022-11-23T01:32:31.0855682Z [2022-11-23 01:29:28,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0855902Z [2022-11-23 01:29:28,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0856252Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0856577Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0856894Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282
2022-11-23T01:32:31.0857204Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0857513Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0857842Z [2022-11-23 01:29:28,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0858147Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283
2022-11-23T01:32:31.0858447Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0858782Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0859215Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0859547Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0859852Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284
2022-11-23T01:32:31.0860158Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0860496Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0860869Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0861180Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0861512Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0861821Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285
2022-11-23T01:32:31.0862123Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0862459Z [2022-11-23 01:29:28,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0862838Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0863150Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0863530Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0863863Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286
2022-11-23T01:32:31.0864167Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0864505Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0864879Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0865194Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0865526Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0865835Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287
2022-11-23T01:32:31.0866145Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0866455Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0866797Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0867110Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288
2022-11-23T01:32:31.0867405Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0867742Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0868115Z [2022-11-23 01:29:28,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0868427Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0868755Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0869066Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289
2022-11-23T01:32:31.0869366Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0869673Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0870009Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0870395Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290
2022-11-23T01:32:31.0870779Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0871182Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0871545Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0871854Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:32:31.0872181Z [2022-11-23 01:29:28,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0872494Z [2022-11-23 01:29:28,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0872810Z [2022-11-23 01:29:28,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0873056Z [2022-11-23 01:29:28,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T01:32:31.0873365Z [2022-11-23 01:29:28,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0873584Z [2022-11-23 01:29:28,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0873917Z [2022-11-23 01:29:28,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0874198Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0874511Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293
2022-11-23T01:32:31.0874814Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0875124Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0875450Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0875759Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294
2022-11-23T01:32:31.0876061Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0876401Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0876712Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0877040Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0877348Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295
2022-11-23T01:32:31.0877650Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0878013Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0878404Z [2022-11-23 01:29:28,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0878705Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0879033Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0879341Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296
2022-11-23T01:32:31.0879643Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0879980Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0880352Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0880656Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0880979Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0881284Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297
2022-11-23T01:32:31.0881585Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0881913Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0882280Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0882578Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0882904Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0883216Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298
2022-11-23T01:32:31.0883528Z [2022-11-23 01:29:28,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0883838Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0884180Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0884491Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299
2022-11-23T01:32:31.0884819Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0885173Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0885541Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.0885850Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0886179Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0886476Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300
2022-11-23T01:32:31.0886780Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0887087Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0887425Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0887734Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301
2022-11-23T01:32:31.0888033Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0888388Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0888753Z [2022-11-23 01:29:28,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0889064Z [2022-11-23 01:29:28,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:32:31.0889390Z [2022-11-23 01:29:28,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0889701Z [2022-11-23 01:29:28,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0890009Z [2022-11-23 01:29:28,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0890255Z [2022-11-23 01:29:28,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T01:32:31.0890572Z [2022-11-23 01:29:28,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0890792Z [2022-11-23 01:29:28,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0891123Z [2022-11-23 01:29:28,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0891401Z [2022-11-23 01:29:28,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0891710Z [2022-11-23 01:29:28,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304
2022-11-23T01:32:31.0892043Z [2022-11-23 01:29:28,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0892387Z [2022-11-23 01:29:28,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0892713Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0893022Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305
2022-11-23T01:32:31.0893316Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0893655Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0893971Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0894298Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0894606Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306
2022-11-23T01:32:31.0894905Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0895239Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0895550Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0895879Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0896186Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307
2022-11-23T01:32:31.0896487Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0896823Z [2022-11-23 01:29:28,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0897129Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0897456Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0897766Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308
2022-11-23T01:32:31.0898067Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0898400Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0898705Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0899186Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0899515Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309
2022-11-23T01:32:31.0899820Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0900123Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0900460Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0900758Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310
2022-11-23T01:32:31.0901062Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0901398Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0901706Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0902029Z [2022-11-23 01:29:28,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0902336Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311
2022-11-23T01:32:31.0902638Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0902947Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0903286Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0903595Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312
2022-11-23T01:32:31.0903895Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0904247Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0904609Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0904915Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:32:31.0905238Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0905545Z [2022-11-23 01:29:28,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0905852Z [2022-11-23 01:29:28,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0906119Z [2022-11-23 01:29:28,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T01:32:31.0906450Z [2022-11-23 01:29:28,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0906666Z [2022-11-23 01:29:28,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.0906990Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.0907263Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:31.0907566Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315
2022-11-23T01:32:31.0907867Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0908172Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0908495Z [2022-11-23 01:29:28,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0908796Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316
2022-11-23T01:32:31.0909092Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0909423Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0909731Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0910056Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0910436Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317
2022-11-23T01:32:31.0910737Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0911060Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0911415Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0911724Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0912047Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0912348Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318
2022-11-23T01:32:31.0912646Z [2022-11-23 01:29:28,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0912972Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0913368Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0913690Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0914012Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0914312Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319
2022-11-23T01:32:31.0914607Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0914931Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0915285Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0915591Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0915913Z [2022-11-23 01:29:28,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0916215Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320
2022-11-23T01:32:31.0916518Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0916826Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0917162Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.0917467Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321
2022-11-23T01:32:31.0917763Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0918091Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0918454Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0918761Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0919075Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0919380Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322
2022-11-23T01:32:31.0919678Z [2022-11-23 01:29:28,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0919979Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0920342Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.0920672Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323
2022-11-23T01:32:31.0920973Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0921314Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0921674Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.0921981Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:32:31.0922305Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:31.0922610Z [2022-11-23 01:29:28,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:31.0922910Z [2022-11-23 01:29:28,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:31.0923155Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T01:32:31.0923460Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325
2022-11-23T01:32:31.0923678Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T01:32:31.0923923Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T01:32:31.0924188Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0924482Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0924801Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:31.0925051Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0925433Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279>
2022-11-23T01:32:31.0925677Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0925916Z [2022-11-23 01:29:28,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0926176Z [2022-11-23 01:29:28,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0926431Z [2022-11-23 01:29:28,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0926626Z [2022-11-23 01:29:28,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0926770Z  __compiled_fn_428 <eval_with_key>.2644 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0926870Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T01:32:31.0926965Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T01:32:31.0927050Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T01:32:31.0927172Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T01:32:31.0927287Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T01:32:31.0927380Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T01:32:31.0927472Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T01:32:31.0927569Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T01:32:31.0927662Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T01:32:31.0927869Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0928085Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T01:32:31.0928308Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T01:32:31.0928523Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T01:32:31.0928738Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T01:32:31.0928963Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T01:32:31.0929164Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0929386Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T01:32:31.0929606Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T01:32:31.0929820Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T01:32:31.0930020Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:31.0930236Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T01:32:31.0930455Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T01:32:31.0930672Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T01:32:31.0930879Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T01:32:31.0930886Z 
2022-11-23T01:32:31.0931214Z [2022-11-23 01:29:28,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0931314Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0931414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0931508Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0931602Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0931695Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0931796Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0931881Z              12 RETURN_VALUE
2022-11-23T01:32:31.0931886Z 
2022-11-23T01:32:31.0931953Z  
2022-11-23T01:32:31.0932274Z [2022-11-23 01:29:28,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0932395Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_428)
2022-11-23T01:32:31.0932485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0932583Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0932667Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0932763Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0932847Z              10 BINARY_SUBSCR
2022-11-23T01:32:31.0932942Z              12 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0933038Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0933113Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0933242Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0933344Z              20 BINARY_SUBSCR
2022-11-23T01:32:31.0933441Z              22 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0933535Z              24 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0933618Z              26 BINARY_SUBSCR
2022-11-23T01:32:31.0933712Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0933787Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.0933884Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0933979Z              34 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0934064Z              36 BINARY_SUBSCR
2022-11-23T01:32:31.0934158Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0934240Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.0934338Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0934431Z              44 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0934509Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.0934603Z              48 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0934687Z              50 BINARY_SUBSCR
2022-11-23T01:32:31.0934783Z              52 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0934875Z              54 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0934956Z              56 BINARY_SUBSCR
2022-11-23T01:32:31.0935049Z              58 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0935124Z              60 BINARY_SUBSCR
2022-11-23T01:32:31.0935219Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0935313Z              64 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0935396Z              66 BINARY_SUBSCR
2022-11-23T01:32:31.0935488Z              68 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0935570Z              70 BINARY_SUBSCR
2022-11-23T01:32:31.0935665Z              72 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0935752Z              74 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0935836Z              76 BINARY_SUBSCR
2022-11-23T01:32:31.0935931Z              78 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0936017Z              80 BINARY_SUBSCR
2022-11-23T01:32:31.0936112Z              82 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0936205Z              84 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0936287Z              86 BINARY_SUBSCR
2022-11-23T01:32:31.0936372Z              88 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0936455Z              90 BINARY_SUBSCR
2022-11-23T01:32:31.0936551Z              92 CALL_FUNCTION            9
2022-11-23T01:32:31.0936665Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0936805Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.0936910Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.0937005Z             100 CALL_FUNCTION            0
2022-11-23T01:32:31.0937101Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.0937212Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0937313Z             106 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0937396Z             108 BINARY_SUBSCR
2022-11-23T01:32:31.0937509Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0937604Z             112 LOAD_CONST               2 (1)
2022-11-23T01:32:31.0937685Z             114 BINARY_SUBSCR
2022-11-23T01:32:31.0937787Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0937884Z             118 LOAD_CONST               3 (2)
2022-11-23T01:32:31.0937966Z             120 BINARY_SUBSCR
2022-11-23T01:32:31.0938061Z             122 BUILD_TUPLE              3
2022-11-23T01:32:31.0938169Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0938264Z             126 LOAD_CONST               4 (3)
2022-11-23T01:32:31.0938345Z             128 BINARY_SUBSCR
2022-11-23T01:32:31.0938467Z             130 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0938568Z             132 LOAD_CONST               0 (None)
2022-11-23T01:32:31.0938696Z             134 BUILD_TUPLE              3
2022-11-23T01:32:31.0938922Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0939020Z             138 LOAD_CONST               5 (4)
2022-11-23T01:32:31.0939103Z             140 BINARY_SUBSCR
2022-11-23T01:32:31.0939213Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0939301Z             144 LOAD_CONST               6 (5)
2022-11-23T01:32:31.0939384Z             146 BINARY_SUBSCR
2022-11-23T01:32:31.0939492Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0939586Z             150 LOAD_CONST               7 (6)
2022-11-23T01:32:31.0939667Z             152 BINARY_SUBSCR
2022-11-23T01:32:31.0939761Z             154 BUILD_TUPLE              3
2022-11-23T01:32:31.0939868Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0939965Z             158 LOAD_CONST               8 (7)
2022-11-23T01:32:31.0940042Z             160 BINARY_SUBSCR
2022-11-23T01:32:31.0940151Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0940244Z             164 LOAD_CONST               9 (8)
2022-11-23T01:32:31.0940331Z             166 BINARY_SUBSCR
2022-11-23T01:32:31.0940439Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0940534Z             170 LOAD_CONST              10 (9)
2022-11-23T01:32:31.0940616Z             172 BINARY_SUBSCR
2022-11-23T01:32:31.0940702Z             174 BUILD_TUPLE              3
2022-11-23T01:32:31.0940795Z             176 BUILD_TUPLE              4
2022-11-23T01:32:31.0940895Z             178 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0941002Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.0941096Z             182 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0941177Z             184 BINARY_SUBSCR
2022-11-23T01:32:31.0941289Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.0941383Z             188 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0941488Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.0941582Z             192 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0941663Z             194 BINARY_SUBSCR
2022-11-23T01:32:31.0941776Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.0941880Z             198 RETURN_VALUE
2022-11-23T01:32:31.0941887Z 
2022-11-23T01:32:31.0941954Z  
2022-11-23T01:32:31.0942169Z [2022-11-23 01:29:28,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0942247Z  - 
2022-11-23T01:32:31.0942374Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0942444Z             {
2022-11-23T01:32:31.0942589Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0942780Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.0942907Z                 'obj_weakref': None
2022-11-23T01:32:31.0943127Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0943197Z             }
2022-11-23T01:32:31.0943269Z             
2022-11-23T01:32:31.0943346Z  - 
2022-11-23T01:32:31.0943476Z             local 'ex[0]' LIST_LENGTH
2022-11-23T01:32:31.0943544Z             {
2022-11-23T01:32:31.0943687Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0943874Z                 'code': ['___check_type_id(ex[0], 94768292482624)', 'len(ex[0]) == 3'],
2022-11-23T01:32:31.0943998Z                 'obj_weakref': None
2022-11-23T01:32:31.0944222Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0944293Z             }
2022-11-23T01:32:31.0944361Z             
2022-11-23T01:32:31.0944437Z  - 
2022-11-23T01:32:31.0944564Z             local 'ex[1]' LIST_LENGTH
2022-11-23T01:32:31.0944626Z             {
2022-11-23T01:32:31.0944821Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0945045Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3'],
2022-11-23T01:32:31.0945169Z                 'obj_weakref': None
2022-11-23T01:32:31.0945392Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0945462Z             }
2022-11-23T01:32:31.0945533Z             
2022-11-23T01:32:31.0945601Z  - 
2022-11-23T01:32:31.0945727Z             local 'ex[2]' LIST_LENGTH
2022-11-23T01:32:31.0945797Z             {
2022-11-23T01:32:31.0945941Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0946135Z                 'code': ['___check_type_id(ex[2], 94768292482624)', 'len(ex[2]) == 3'],
2022-11-23T01:32:31.0946257Z                 'obj_weakref': None
2022-11-23T01:32:31.0946474Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.0946538Z             }
2022-11-23T01:32:31.0946607Z             
2022-11-23T01:32:31.0946684Z  - 
2022-11-23T01:32:31.0946819Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.0946887Z             {
2022-11-23T01:32:31.0947027Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0947200Z                 'code': ['___check_obj_id(model, 139775922369680)'],
2022-11-23T01:32:31.0947316Z                 'obj_weakref': None
2022-11-23T01:32:31.0947546Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.0947614Z             }
2022-11-23T01:32:31.0947684Z             
2022-11-23T01:32:31.0947759Z  - 
2022-11-23T01:32:31.0947884Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0947953Z             {
2022-11-23T01:32:31.0948085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0948303Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0948427Z                 'obj_weakref': None
2022-11-23T01:32:31.0948649Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0948716Z             }
2022-11-23T01:32:31.0948784Z             
2022-11-23T01:32:31.0948859Z  - 
2022-11-23T01:32:31.0948983Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T01:32:31.0949053Z             {
2022-11-23T01:32:31.0949203Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0949313Z                 'code': None,
2022-11-23T01:32:31.0949523Z                 'obj_weakref': <weakref at 0x7f2023339d00; to 'Tensor' at 0x7f21276d42c0>
2022-11-23T01:32:31.0949774Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0949844Z             }
2022-11-23T01:32:31.0949905Z             
2022-11-23T01:32:31.0949980Z  - 
2022-11-23T01:32:31.0950112Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T01:32:31.0950181Z             {
2022-11-23T01:32:31.0950411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0950546Z                 'code': None,
2022-11-23T01:32:31.0950761Z                 'obj_weakref': <weakref at 0x7f1fd8355b70; to 'Tensor' at 0x7f21276d4220>
2022-11-23T01:32:31.0951004Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0951073Z             }
2022-11-23T01:32:31.0951144Z             
2022-11-23T01:32:31.0951220Z  - 
2022-11-23T01:32:31.0951352Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T01:32:31.0951421Z             {
2022-11-23T01:32:31.0951567Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0951670Z                 'code': None,
2022-11-23T01:32:31.0951888Z                 'obj_weakref': <weakref at 0x7f1fd8357dd0; to 'Tensor' at 0x7f201e20e160>
2022-11-23T01:32:31.0952171Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0952242Z             }
2022-11-23T01:32:31.0952332Z             
2022-11-23T01:32:31.0952407Z  - 
2022-11-23T01:32:31.0952539Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T01:32:31.0952599Z             {
2022-11-23T01:32:31.0952748Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0952860Z                 'code': None,
2022-11-23T01:32:31.0953074Z                 'obj_weakref': <weakref at 0x7f2022f13ab0; to 'Tensor' at 0x7f201e20dd50>
2022-11-23T01:32:31.0953325Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0953394Z             }
2022-11-23T01:32:31.0953461Z             
2022-11-23T01:32:31.0953528Z  - 
2022-11-23T01:32:31.0953659Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T01:32:31.0953726Z             {
2022-11-23T01:32:31.0953874Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0953987Z                 'code': None,
2022-11-23T01:32:31.0954198Z                 'obj_weakref': <weakref at 0x7f2022f12020; to 'Tensor' at 0x7f201e20c3b0>
2022-11-23T01:32:31.0954451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0954521Z             }
2022-11-23T01:32:31.0954582Z             
2022-11-23T01:32:31.0954658Z  - 
2022-11-23T01:32:31.0954788Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T01:32:31.0954856Z             {
2022-11-23T01:32:31.0955002Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0955115Z                 'code': None,
2022-11-23T01:32:31.0955315Z                 'obj_weakref': <weakref at 0x7f2022f134c0; to 'Tensor' at 0x7f201e20fb50>
2022-11-23T01:32:31.0955562Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0955631Z             }
2022-11-23T01:32:31.0955699Z             
2022-11-23T01:32:31.0955774Z  - 
2022-11-23T01:32:31.0955909Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T01:32:31.0955980Z             {
2022-11-23T01:32:31.0956117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0956229Z                 'code': None,
2022-11-23T01:32:31.0956438Z                 'obj_weakref': <weakref at 0x7f2022f11c60; to 'Tensor' at 0x7f215801b330>
2022-11-23T01:32:31.0956681Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0956750Z             }
2022-11-23T01:32:31.0956819Z             
2022-11-23T01:32:31.0956895Z  - 
2022-11-23T01:32:31.0957018Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T01:32:31.0957087Z             {
2022-11-23T01:32:31.0957231Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0957344Z                 'code': None,
2022-11-23T01:32:31.0957550Z                 'obj_weakref': <weakref at 0x7f20233b3380; to 'Tensor' at 0x7f2128464b30>
2022-11-23T01:32:31.0957796Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0957867Z             }
2022-11-23T01:32:31.0957935Z             
2022-11-23T01:32:31.0958002Z  - 
2022-11-23T01:32:31.0958134Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T01:32:31.0958202Z             {
2022-11-23T01:32:31.0958347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0958459Z                 'code': None,
2022-11-23T01:32:31.0958665Z                 'obj_weakref': <weakref at 0x7f20233b1a30; to 'Tensor' at 0x7f2115ad93a0>
2022-11-23T01:32:31.0958909Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0958971Z             }
2022-11-23T01:32:31.0959038Z             
2022-11-23T01:32:31.0959114Z  - 
2022-11-23T01:32:31.0959300Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:31.0959369Z             {
2022-11-23T01:32:31.0959550Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.0959848Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292480384)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T01:32:31.0959967Z                 'obj_weakref': None
2022-11-23T01:32:31.0960190Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.0960258Z             }
2022-11-23T01:32:31.0960324Z             
2022-11-23T01:32:31.0960398Z  - 
2022-11-23T01:32:31.0960534Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.0960603Z             {
2022-11-23T01:32:31.0960722Z                 'guard_types': None,
2022-11-23T01:32:31.0960834Z                 'code': None,
2022-11-23T01:32:31.0960959Z                 'obj_weakref': None
2022-11-23T01:32:31.0961087Z                 'guarded_class': None
2022-11-23T01:32:31.0961155Z             }
2022-11-23T01:32:31.0961223Z             
2022-11-23T01:32:31.0961488Z [2022-11-23 01:29:28,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418
2022-11-23T01:32:31.0961841Z [2022-11-23 01:29:28,416] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hs/chs543c3oofucoelwxa563unr3uj4qsbw6nizj3vkyurwknoirio.py
2022-11-23T01:32:31.0962106Z [2022-11-23 01:29:28,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418
2022-11-23T01:32:31.0962112Z 
2022-11-23T01:32:31.0962212Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0962289Z import torch
2022-11-23T01:32:31.0962363Z import random
2022-11-23T01:32:31.0962484Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0962610Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0962615Z 
2022-11-23T01:32:31.0962698Z aten = torch.ops.aten
2022-11-23T01:32:31.0962830Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0962927Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0962933Z 
2022-11-23T01:32:31.0963009Z import triton
2022-11-23T01:32:31.0963107Z import triton.language as tl
2022-11-23T01:32:31.0963234Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0963377Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0963382Z 
2022-11-23T01:32:31.0963387Z 
2022-11-23T01:32:31.0963481Z async_compile.wait(globals())
2022-11-23T01:32:31.0963559Z del async_compile
2022-11-23T01:32:31.0963564Z 
2022-11-23T01:32:31.0963632Z def call(args):
2022-11-23T01:32:31.0963768Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T01:32:31.0963844Z     args.clear()
2022-11-23T01:32:31.0964020Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:31.0964094Z     buf1 = buf0[0]
2022-11-23T01:32:31.0964207Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0964286Z     buf2 = buf0[1]
2022-11-23T01:32:31.0964391Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:31.0964469Z     buf3 = buf0[2]
2022-11-23T01:32:31.0964568Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T01:32:31.0964640Z     del buf0
2022-11-23T01:32:31.0964812Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T01:32:31.0964887Z     del arg0_1
2022-11-23T01:32:31.0964960Z     del arg1_1
2022-11-23T01:32:31.0965024Z     del arg2_1
2022-11-23T01:32:31.0965097Z     buf5 = buf4[0]
2022-11-23T01:32:31.0965208Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0965279Z     del buf4
2022-11-23T01:32:31.0965446Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T01:32:31.0965519Z     del arg3_1
2022-11-23T01:32:31.0965591Z     del arg4_1
2022-11-23T01:32:31.0965655Z     del arg5_1
2022-11-23T01:32:31.0965784Z     buf7 = buf6[0]
2022-11-23T01:32:31.0965898Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0965994Z     buf8 = buf6[1]
2022-11-23T01:32:31.0966102Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:31.0966176Z     buf9 = buf6[2]
2022-11-23T01:32:31.0966277Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T01:32:31.0966339Z     del buf6
2022-11-23T01:32:31.0966518Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T01:32:31.0966591Z     del arg6_1
2022-11-23T01:32:31.0966663Z     del arg7_1
2022-11-23T01:32:31.0966735Z     del arg8_1
2022-11-23T01:32:31.0966810Z     buf11 = buf10[0]
2022-11-23T01:32:31.0966930Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T01:32:31.0966999Z     buf12 = buf10[1]
2022-11-23T01:32:31.0967116Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T01:32:31.0967193Z     buf13 = buf10[2]
2022-11-23T01:32:31.0967293Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T01:32:31.0967367Z     del buf10
2022-11-23T01:32:31.0967501Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T01:32:31.0967507Z 
2022-11-23T01:32:31.0967511Z 
2022-11-23T01:32:31.0967593Z if __name__ == "__main__":
2022-11-23T01:32:31.0967716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0967839Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0968055Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0968271Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0968479Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0968683Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0968892Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0969098Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0969315Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0969528Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0969743Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0969914Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T01:32:31.0969919Z 
2022-11-23T01:32:31.0969924Z 
2022-11-23T01:32:31.0970024Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.0970100Z import torch
2022-11-23T01:32:31.0970176Z import random
2022-11-23T01:32:31.0970300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.0970428Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.0970435Z 
2022-11-23T01:32:31.0970511Z aten = torch.ops.aten
2022-11-23T01:32:31.0970652Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.0970749Z async_compile = AsyncCompile()
2022-11-23T01:32:31.0970754Z 
2022-11-23T01:32:31.0970830Z import triton
2022-11-23T01:32:31.0970925Z import triton.language as tl
2022-11-23T01:32:31.0971052Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.0971196Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.0971202Z 
2022-11-23T01:32:31.0971206Z 
2022-11-23T01:32:31.0971300Z async_compile.wait(globals())
2022-11-23T01:32:31.0971370Z del async_compile
2022-11-23T01:32:31.0971384Z 
2022-11-23T01:32:31.0971453Z def call(args):
2022-11-23T01:32:31.0971587Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T01:32:31.0971700Z     args.clear()
2022-11-23T01:32:31.0971872Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:31.0971967Z     buf1 = buf0[0]
2022-11-23T01:32:31.0972084Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0972161Z     buf2 = buf0[1]
2022-11-23T01:32:31.0972263Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:31.0972337Z     buf3 = buf0[2]
2022-11-23T01:32:31.0972436Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T01:32:31.0972507Z     del buf0
2022-11-23T01:32:31.0972677Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T01:32:31.0972750Z     del arg0_1
2022-11-23T01:32:31.0972825Z     del arg1_1
2022-11-23T01:32:31.0972890Z     del arg2_1
2022-11-23T01:32:31.0972962Z     buf5 = buf4[0]
2022-11-23T01:32:31.0973076Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0973148Z     del buf4
2022-11-23T01:32:31.0973316Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T01:32:31.0973389Z     del arg3_1
2022-11-23T01:32:31.0973462Z     del arg4_1
2022-11-23T01:32:31.0973525Z     del arg5_1
2022-11-23T01:32:31.0973598Z     buf7 = buf6[0]
2022-11-23T01:32:31.0973710Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:31.0973783Z     buf8 = buf6[1]
2022-11-23T01:32:31.0973894Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:31.0973968Z     buf9 = buf6[2]
2022-11-23T01:32:31.0974059Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T01:32:31.0974130Z     del buf6
2022-11-23T01:32:31.0974304Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T01:32:31.0974378Z     del arg6_1
2022-11-23T01:32:31.0974450Z     del arg7_1
2022-11-23T01:32:31.0974525Z     del arg8_1
2022-11-23T01:32:31.0974602Z     buf11 = buf10[0]
2022-11-23T01:32:31.0974714Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T01:32:31.0974789Z     buf12 = buf10[1]
2022-11-23T01:32:31.0974905Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T01:32:31.0974981Z     buf13 = buf10[2]
2022-11-23T01:32:31.0975082Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T01:32:31.0975153Z     del buf10
2022-11-23T01:32:31.0975290Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T01:32:31.0975296Z 
2022-11-23T01:32:31.0975301Z 
2022-11-23T01:32:31.0975382Z if __name__ == "__main__":
2022-11-23T01:32:31.0975494Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.0975623Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.0975839Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0976055Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0976264Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0976471Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0976677Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0976878Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0977085Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0977306Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0977521Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.0977720Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T01:32:31.0977743Z 
2022-11-23T01:32:31.0977818Z ok (0.252s)
2022-11-23T01:32:31.0977985Z   test_conv_bn_fuse_cuda (__main__.CudaTests) ... skip: only support cpu conv  bn test (0.001s)
2022-11-23T01:32:31.0978299Z   test_convolution1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0978615Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0978963Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0979215Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.0979478Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.0979791Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0980127Z [2022-11-23 01:29:28,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0980435Z [2022-11-23 01:29:28,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0980817Z [2022-11-23 01:29:28,433] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.0980916Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.0981012Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.0981098Z               4 RETURN_VALUE
2022-11-23T01:32:31.0981167Z  
2022-11-23T01:32:31.0981176Z 
2022-11-23T01:32:31.0981484Z [2022-11-23 01:29:28,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.0981696Z [2022-11-23 01:29:28,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.0981942Z [2022-11-23 01:29:28,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.0982192Z [2022-11-23 01:29:28,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0982578Z [2022-11-23 01:29:28,434] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.0982825Z [2022-11-23 01:29:28,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.0983065Z [2022-11-23 01:29:28,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.0983326Z [2022-11-23 01:29:28,434] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.0983578Z [2022-11-23 01:29:28,439] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.0983762Z [2022-11-23 01:29:28,440] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.0983904Z  __compiled_fn_429 <eval_with_key>.2650 opcode, name, target, args, kwargs
2022-11-23T01:32:31.0983998Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.0984104Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.0984212Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.0984318Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.0984323Z 
2022-11-23T01:32:31.0984692Z [2022-11-23 01:29:28,440] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0984828Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.0984918Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0985014Z               4 BUILD_MAP                0
2022-11-23T01:32:31.0985118Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.0985208Z               8 DICT_MERGE               1
2022-11-23T01:32:31.0985304Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.0985386Z              12 RETURN_VALUE
2022-11-23T01:32:31.0985391Z 
2022-11-23T01:32:31.0985457Z  
2022-11-23T01:32:31.0985775Z [2022-11-23 01:29:28,440] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.0985885Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_429)
2022-11-23T01:32:31.0985981Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.0986081Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0986163Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.0986259Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.0986371Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.0986479Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.0986567Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.0986652Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.0986746Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.0986827Z              20 RETURN_VALUE
2022-11-23T01:32:31.0986832Z 
2022-11-23T01:32:31.0986899Z  
2022-11-23T01:32:31.0987086Z [2022-11-23 01:29:28,441] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.0987163Z  - 
2022-11-23T01:32:31.0987279Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.0987350Z             {
2022-11-23T01:32:31.0987498Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.0987689Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.0987816Z                 'obj_weakref': None
2022-11-23T01:32:31.0988041Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.0988110Z             }
2022-11-23T01:32:31.0988171Z             
2022-11-23T01:32:31.0988249Z  - 
2022-11-23T01:32:31.0988378Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.0988448Z             {
2022-11-23T01:32:31.0988595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.0988708Z                 'code': None,
2022-11-23T01:32:31.0988918Z                 'obj_weakref': <weakref at 0x7f201e34d3a0; to 'Tensor' at 0x7f206078aed0>
2022-11-23T01:32:31.0989170Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.0989232Z             }
2022-11-23T01:32:31.0989300Z             
2022-11-23T01:32:31.0989374Z  - 
2022-11-23T01:32:31.0989502Z             local 'model' NN_MODULE
2022-11-23T01:32:31.0989572Z             {
2022-11-23T01:32:31.0989714Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.0989883Z                 'code': ['___check_obj_id(model, 139776005168704)'],
2022-11-23T01:32:31.0990103Z                 'obj_weakref': <weakref at 0x7f206078aa20; to 'Sequential' at 0x7f202322de40>
2022-11-23T01:32:31.0990452Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.0990536Z             }
2022-11-23T01:32:31.0990618Z             
2022-11-23T01:32:31.0990709Z  - 
2022-11-23T01:32:31.0990852Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.0990914Z             {
2022-11-23T01:32:31.0991054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.0991275Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.0991398Z                 'obj_weakref': None
2022-11-23T01:32:31.0991654Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.0991742Z             }
2022-11-23T01:32:31.0991811Z             
2022-11-23T01:32:31.0991887Z  - 
2022-11-23T01:32:31.0992029Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.0992099Z             {
2022-11-23T01:32:31.0992223Z                 'guard_types': None,
2022-11-23T01:32:31.0992334Z                 'code': None,
2022-11-23T01:32:31.0992456Z                 'obj_weakref': None
2022-11-23T01:32:31.0992582Z                 'guarded_class': None
2022-11-23T01:32:31.0992643Z             }
2022-11-23T01:32:31.0992710Z             
2022-11-23T01:32:31.0992785Z  - 
2022-11-23T01:32:31.0992932Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.0993000Z             {
2022-11-23T01:32:31.0993124Z                 'guard_types': None,
2022-11-23T01:32:31.0993234Z                 'code': None,
2022-11-23T01:32:31.0993352Z                 'obj_weakref': None
2022-11-23T01:32:31.0993477Z                 'guarded_class': None
2022-11-23T01:32:31.0993548Z             }
2022-11-23T01:32:31.0993617Z             
2022-11-23T01:32:31.0993692Z  - 
2022-11-23T01:32:31.0993840Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.0993907Z             {
2022-11-23T01:32:31.0994022Z                 'guard_types': None,
2022-11-23T01:32:31.0994132Z                 'code': None,
2022-11-23T01:32:31.0994252Z                 'obj_weakref': None
2022-11-23T01:32:31.0994378Z                 'guarded_class': None
2022-11-23T01:32:31.0994447Z             }
2022-11-23T01:32:31.0994514Z             
2022-11-23T01:32:31.0994768Z [2022-11-23 01:29:28,464] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419
2022-11-23T01:32:31.0995062Z [2022-11-23 01:29:28,482] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.0995429Z [2022-11-23 01:29:28,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtxlnsajyi6k22th4izzhlpfybuajut7orvprpecd57erzaeyo5.py
2022-11-23T01:32:31.0995698Z [2022-11-23 01:29:28,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419
2022-11-23T01:32:31.0995936Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.0996248Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.0996469Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.0996715Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.0996984Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.0997295Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0997622Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0997929Z [2022-11-23 01:29:28,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.0998305Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.0998403Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.0998499Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.0998586Z               4 RETURN_VALUE
2022-11-23T01:32:31.0998651Z  
2022-11-23T01:32:31.0998657Z 
2022-11-23T01:32:31.0999001Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.0999232Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.0999468Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.0999716Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1000094Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.1000340Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1000579Z [2022-11-23 01:29:28,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1000834Z [2022-11-23 01:29:28,576] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1001088Z [2022-11-23 01:29:28,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1001280Z [2022-11-23 01:29:28,582] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1001421Z  __compiled_fn_430 <eval_with_key>.2661 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1001510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1001618Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.1001726Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.1001832Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.1001838Z 
2022-11-23T01:32:31.1002163Z [2022-11-23 01:29:28,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1002265Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1002365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1002458Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1002550Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1002642Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1002737Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1002819Z              12 RETURN_VALUE
2022-11-23T01:32:31.1002824Z 
2022-11-23T01:32:31.1002889Z  
2022-11-23T01:32:31.1003206Z [2022-11-23 01:29:28,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1003323Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_430)
2022-11-23T01:32:31.1003419Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1003508Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1003593Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1003687Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.1003802Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1003910Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1004006Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1004089Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1004174Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.1004255Z              20 RETURN_VALUE
2022-11-23T01:32:31.1004260Z 
2022-11-23T01:32:31.1004328Z  
2022-11-23T01:32:31.1004515Z [2022-11-23 01:29:28,583] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1004590Z  - 
2022-11-23T01:32:31.1004714Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1004784Z             {
2022-11-23T01:32:31.1004933Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1005146Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.1005321Z                 'obj_weakref': None
2022-11-23T01:32:31.1005604Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1005674Z             }
2022-11-23T01:32:31.1005743Z             
2022-11-23T01:32:31.1005821Z  - 
2022-11-23T01:32:31.1005953Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1006021Z             {
2022-11-23T01:32:31.1006178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1006298Z                 'code': None,
2022-11-23T01:32:31.1006532Z                 'obj_weakref': <weakref at 0x7f206814c720; to 'Tensor' at 0x7f20232a47c0>
2022-11-23T01:32:31.1006814Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1006883Z             }
2022-11-23T01:32:31.1006944Z             
2022-11-23T01:32:31.1007022Z  - 
2022-11-23T01:32:31.1007156Z             local 'model' NN_MODULE
2022-11-23T01:32:31.1007226Z             {
2022-11-23T01:32:31.1007377Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1007572Z                 'code': ['___check_obj_id(model, 139776005168704)'],
2022-11-23T01:32:31.1007816Z                 'obj_weakref': <weakref at 0x7f206078aa20; to 'Sequential' at 0x7f202322de40>
2022-11-23T01:32:31.1008082Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.1008144Z             }
2022-11-23T01:32:31.1008212Z             
2022-11-23T01:32:31.1008287Z  - 
2022-11-23T01:32:31.1008424Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1008493Z             {
2022-11-23T01:32:31.1008646Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1008884Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1009016Z                 'obj_weakref': None
2022-11-23T01:32:31.1009265Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1009337Z             }
2022-11-23T01:32:31.1009404Z             
2022-11-23T01:32:31.1009481Z  - 
2022-11-23T01:32:31.1009644Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.1009706Z             {
2022-11-23T01:32:31.1009839Z                 'guard_types': None,
2022-11-23T01:32:31.1009959Z                 'code': None,
2022-11-23T01:32:31.1010090Z                 'obj_weakref': None
2022-11-23T01:32:31.1010226Z                 'guarded_class': None
2022-11-23T01:32:31.1010294Z             }
2022-11-23T01:32:31.1010362Z             
2022-11-23T01:32:31.1010431Z  - 
2022-11-23T01:32:31.1010592Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.1010659Z             {
2022-11-23T01:32:31.1010796Z                 'guard_types': None,
2022-11-23T01:32:31.1010914Z                 'code': None,
2022-11-23T01:32:31.1011046Z                 'obj_weakref': None
2022-11-23T01:32:31.1011187Z                 'guarded_class': None
2022-11-23T01:32:31.1011248Z             }
2022-11-23T01:32:31.1011320Z             
2022-11-23T01:32:31.1011395Z  - 
2022-11-23T01:32:31.1011555Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.1011623Z             {
2022-11-23T01:32:31.1011757Z                 'guard_types': None,
2022-11-23T01:32:31.1011868Z                 'code': None,
2022-11-23T01:32:31.1011998Z                 'obj_weakref': None
2022-11-23T01:32:31.1012134Z                 'guarded_class': None
2022-11-23T01:32:31.1012203Z             }
2022-11-23T01:32:31.1012272Z             
2022-11-23T01:32:31.1012566Z [2022-11-23 01:29:28,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420
2022-11-23T01:32:31.1012899Z [2022-11-23 01:29:28,628] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.1013348Z [2022-11-23 01:29:28,715] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c3/cc3epk4kasyw6prg2ljgvgy27rirqa4iaaqsbv4nee42rb3i67md.py
2022-11-23T01:32:31.1013662Z [2022-11-23 01:29:28,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420
2022-11-23T01:32:31.1013676Z 
2022-11-23T01:32:31.1013773Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1013848Z import torch
2022-11-23T01:32:31.1013924Z import random
2022-11-23T01:32:31.1014053Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1014192Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1014198Z 
2022-11-23T01:32:31.1014282Z aten = torch.ops.aten
2022-11-23T01:32:31.1014431Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1014525Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1014530Z 
2022-11-23T01:32:31.1014607Z import triton
2022-11-23T01:32:31.1014706Z import triton.language as tl
2022-11-23T01:32:31.1014842Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1015001Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1015008Z 
2022-11-23T01:32:31.1015013Z 
2022-11-23T01:32:31.1015219Z triton_fused_le_relu_convolution0 = async_compile.triton('''
2022-11-23T01:32:31.1015295Z import triton
2022-11-23T01:32:31.1015390Z import triton.language as tl
2022-11-23T01:32:31.1015504Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1015612Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1015757Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1015893Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1015899Z 
2022-11-23T01:32:31.1016355Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.1016430Z @triton.jit
2022-11-23T01:32:31.1016592Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1016672Z     xnumel = 2352
2022-11-23T01:32:31.1016768Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1016907Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1016994Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1017068Z     x3 = xindex
2022-11-23T01:32:31.1017153Z     x1 = (xindex // 196) % 6
2022-11-23T01:32:31.1017263Z     tmp0 = tl.load(in_out_ptr0 + (x3), xmask)
2022-11-23T01:32:31.1017365Z     tmp1 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.1017438Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.1017531Z     tmp3 = tl.maximum(0, tmp2)
2022-11-23T01:32:31.1017602Z     tmp4 = 0
2022-11-23T01:32:31.1017684Z     tmp5 = tmp3 <= tmp4
2022-11-23T01:32:31.1017833Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1017978Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1018068Z ''')
2022-11-23T01:32:31.1018077Z 
2022-11-23T01:32:31.1018081Z 
2022-11-23T01:32:31.1018174Z async_compile.wait(globals())
2022-11-23T01:32:31.1018252Z del async_compile
2022-11-23T01:32:31.1018257Z 
2022-11-23T01:32:31.1018334Z def call(args):
2022-11-23T01:32:31.1018445Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.1018522Z     args.clear()
2022-11-23T01:32:31.1018691Z     buf0 = aten.convolution(primals_3, primals_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:31.1018926Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:31.1019059Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T01:32:31.1019270Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.1019363Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1019536Z     triton_fused_le_relu_convolution0.run(buf1, primals_2, buf2, 2352, grid=grid(2352), stream=stream0)
2022-11-23T01:32:31.1019662Z     del primals_2
2022-11-23T01:32:31.1019777Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T01:32:31.1019808Z 
2022-11-23T01:32:31.1019812Z 
2022-11-23T01:32:31.1019895Z if __name__ == "__main__":
2022-11-23T01:32:31.1020018Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1020147Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1020360Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1020563Z     primals_2 = rand_strided((6, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1020793Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1020943Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.1020949Z 
2022-11-23T01:32:31.1020953Z 
2022-11-23T01:32:31.1021053Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1021128Z import torch
2022-11-23T01:32:31.1021205Z import random
2022-11-23T01:32:31.1021327Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1021449Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1021454Z 
2022-11-23T01:32:31.1021537Z aten = torch.ops.aten
2022-11-23T01:32:31.1021678Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1021774Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1021779Z 
2022-11-23T01:32:31.1021854Z import triton
2022-11-23T01:32:31.1021947Z import triton.language as tl
2022-11-23T01:32:31.1022080Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1022216Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1022229Z 
2022-11-23T01:32:31.1022233Z 
2022-11-23T01:32:31.1022430Z triton_fused_le_relu_convolution__to_copy_10 = async_compile.triton('''
2022-11-23T01:32:31.1022506Z import triton
2022-11-23T01:32:31.1022599Z import triton.language as tl
2022-11-23T01:32:31.1022716Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1022821Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1022954Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1023083Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1023088Z 
2022-11-23T01:32:31.1023474Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.1023542Z @triton.jit
2022-11-23T01:32:31.1023690Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1023766Z     xnumel = 2352
2022-11-23T01:32:31.1023865Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1023998Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1024084Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1024156Z     x3 = xindex
2022-11-23T01:32:31.1024235Z     x1 = (xindex // 196) % 6
2022-11-23T01:32:31.1024364Z     tmp0 = tl.load(in_out_ptr0 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:31.1024484Z     tmp1 = tl.load(in_ptr0 + (x1), xmask).to(tl.float32)
2022-11-23T01:32:31.1024565Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.1024654Z     tmp3 = tl.maximum(0, tmp2)
2022-11-23T01:32:31.1024742Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.1024816Z     tmp5 = 0
2022-11-23T01:32:31.1024889Z     tmp6 = tmp4 <= tmp5
2022-11-23T01:32:31.1025029Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1025168Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1025255Z ''')
2022-11-23T01:32:31.1025260Z 
2022-11-23T01:32:31.1025265Z 
2022-11-23T01:32:31.1025359Z async_compile.wait(globals())
2022-11-23T01:32:31.1025438Z del async_compile
2022-11-23T01:32:31.1025443Z 
2022-11-23T01:32:31.1025519Z def call(args):
2022-11-23T01:32:31.1025654Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.1025724Z     args.clear()
2022-11-23T01:32:31.1025899Z     buf0 = aten.convolution(primals_3, primals_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:31.1026020Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:31.1026151Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T01:32:31.1026366Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.1026459Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1026645Z     triton_fused_le_relu_convolution__to_copy_10.run(buf1, primals_2, buf2, 2352, grid=grid(2352), stream=stream0)
2022-11-23T01:32:31.1026716Z     del primals_2
2022-11-23T01:32:31.1026827Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T01:32:31.1026833Z 
2022-11-23T01:32:31.1026837Z 
2022-11-23T01:32:31.1026921Z if __name__ == "__main__":
2022-11-23T01:32:31.1027044Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1027178Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1027400Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1027601Z     primals_2 = rand_strided((6, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1027829Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1027976Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.1027982Z 
2022-11-23T01:32:31.1028047Z ok (0.292s)
2022-11-23T01:32:31.1028365Z   test_convolution2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:28,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1028685Z [2022-11-23 01:29:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1028908Z [2022-11-23 01:29:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1029167Z [2022-11-23 01:29:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1029446Z [2022-11-23 01:29:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1029761Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1030107Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1030547Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1030936Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825> 
2022-11-23T01:32:31.1031036Z  1827           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1031147Z                2 LOAD_METHOD              1 (convolution)
2022-11-23T01:32:31.1031247Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1031343Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:31.1031439Z                8 LOAD_FAST                2 (b)
2022-11-23T01:32:31.1031538Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:31.1031632Z               12 BUILD_LIST               1
2022-11-23T01:32:31.1031720Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:31.1031818Z               16 BUILD_LIST               1
2022-11-23T01:32:31.1031921Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:31.1032031Z               20 BUILD_LIST               1
2022-11-23T01:32:31.1032184Z               22 LOAD_CONST               4 (True)
2022-11-23T01:32:31.1032311Z               24 LOAD_CONST               2 (0)
2022-11-23T01:32:31.1032405Z               26 BUILD_LIST               1
2022-11-23T01:32:31.1032491Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:31.1032585Z               30 CALL_METHOD              9
2022-11-23T01:32:31.1032679Z               32 BUILD_TUPLE              1
2022-11-23T01:32:31.1032762Z               34 RETURN_VALUE
2022-11-23T01:32:31.1032828Z  
2022-11-23T01:32:31.1032833Z 
2022-11-23T01:32:31.1033155Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1827
2022-11-23T01:32:31.1033379Z [2022-11-23 01:29:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1033703Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1033972Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)]
2022-11-23T01:32:31.1034260Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:31.1034580Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1034929Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1035310Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1035675Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.1036072Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1036454Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.1036874Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1037289Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.1037743Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.1038221Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:31.1038691Z [2022-11-23 01:29:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:31.1039225Z [2022-11-23 01:29:28,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1039488Z [2022-11-23 01:29:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.1039738Z [2022-11-23 01:29:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1040105Z [2022-11-23 01:29:28,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825>
2022-11-23T01:32:31.1040354Z [2022-11-23 01:29:28,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1040592Z [2022-11-23 01:29:28,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1040848Z [2022-11-23 01:29:28,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1041101Z [2022-11-23 01:29:28,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1041295Z [2022-11-23 01:29:28,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1041438Z  __compiled_fn_431 <eval_with_key>.2672 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1041532Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1041626Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1041710Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.1041873Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {}
2022-11-23T01:32:31.1041988Z output, output, output, ((convolution,),), {}
2022-11-23T01:32:31.1041993Z 
2022-11-23T01:32:31.1042320Z [2022-11-23 01:29:28,734] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1042424Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1042525Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1042617Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1042718Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1042802Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1042899Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1042980Z              12 RETURN_VALUE
2022-11-23T01:32:31.1042985Z 
2022-11-23T01:32:31.1043051Z  
2022-11-23T01:32:31.1043369Z [2022-11-23 01:29:28,734] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1043489Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_431)
2022-11-23T01:32:31.1043585Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1043676Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1043761Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1043855Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1043951Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1044032Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1044124Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1044218Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1044292Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.1044386Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.1044498Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1044606Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1044701Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1044788Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1044881Z              30 BUILD_TUPLE              1
2022-11-23T01:32:31.1044992Z              32 RETURN_VALUE
2022-11-23T01:32:31.1044998Z 
2022-11-23T01:32:31.1045076Z  
2022-11-23T01:32:31.1045262Z [2022-11-23 01:29:28,735] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1045340Z  - 
2022-11-23T01:32:31.1045463Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1045533Z             {
2022-11-23T01:32:31.1045676Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1045866Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.1045982Z                 'obj_weakref': None
2022-11-23T01:32:31.1046207Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1046275Z             }
2022-11-23T01:32:31.1046344Z             
2022-11-23T01:32:31.1046419Z  - 
2022-11-23T01:32:31.1046547Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1046615Z             {
2022-11-23T01:32:31.1046753Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1046868Z                 'code': None,
2022-11-23T01:32:31.1047084Z                 'obj_weakref': <weakref at 0x7f206819e840; to 'Tensor' at 0x7f2023097010>
2022-11-23T01:32:31.1047332Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1047401Z             }
2022-11-23T01:32:31.1047470Z             
2022-11-23T01:32:31.1047544Z  - 
2022-11-23T01:32:31.1047663Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1047731Z             {
2022-11-23T01:32:31.1047880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1047989Z                 'code': None,
2022-11-23T01:32:31.1048200Z                 'obj_weakref': <weakref at 0x7f1fd97eef20; to 'Tensor' at 0x7f2023096700>
2022-11-23T01:32:31.1048450Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1048518Z             }
2022-11-23T01:32:31.1048579Z             
2022-11-23T01:32:31.1048657Z  - 
2022-11-23T01:32:31.1048785Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.1048855Z             {
2022-11-23T01:32:31.1049002Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1049112Z                 'code': None,
2022-11-23T01:32:31.1049327Z                 'obj_weakref': <weakref at 0x7f201e20db20; to 'Tensor' at 0x7f2115f580e0>
2022-11-23T01:32:31.1049566Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1049634Z             }
2022-11-23T01:32:31.1049702Z             
2022-11-23T01:32:31.1049778Z  - 
2022-11-23T01:32:31.1049912Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1049979Z             {
2022-11-23T01:32:31.1050117Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1050284Z                 'code': ['___check_obj_id(model, 139780374073920)'],
2022-11-23T01:32:31.1050408Z                 'obj_weakref': None
2022-11-23T01:32:31.1050642Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1050712Z             }
2022-11-23T01:32:31.1050781Z             
2022-11-23T01:32:31.1050857Z  - 
2022-11-23T01:32:31.1050982Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1051043Z             {
2022-11-23T01:32:31.1051182Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1051400Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1051524Z                 'obj_weakref': None
2022-11-23T01:32:31.1051748Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1051816Z             }
2022-11-23T01:32:31.1051884Z             
2022-11-23T01:32:31.1051952Z  - 
2022-11-23T01:32:31.1052089Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1052157Z             {
2022-11-23T01:32:31.1052283Z                 'guard_types': None,
2022-11-23T01:32:31.1052426Z                 'code': None,
2022-11-23T01:32:31.1052568Z                 'obj_weakref': None
2022-11-23T01:32:31.1052694Z                 'guarded_class': None
2022-11-23T01:32:31.1052755Z             }
2022-11-23T01:32:31.1052824Z             
2022-11-23T01:32:31.1053092Z [2022-11-23 01:29:28,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421
2022-11-23T01:32:31.1053342Z [2022-11-23 01:29:28,751] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.1053696Z [2022-11-23 01:29:28,829] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mr/cmrx32ly6642dwe6qq2zyzapfyw45cf7ig3ikrzrsutglbmclr4p.py
2022-11-23T01:32:31.1053964Z [2022-11-23 01:29:28,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421
2022-11-23T01:32:31.1053969Z 
2022-11-23T01:32:31.1054069Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1054143Z import torch
2022-11-23T01:32:31.1054213Z import random
2022-11-23T01:32:31.1054339Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1054466Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1054472Z 
2022-11-23T01:32:31.1054554Z aten = torch.ops.aten
2022-11-23T01:32:31.1054697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1054795Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1054800Z 
2022-11-23T01:32:31.1054875Z import triton
2022-11-23T01:32:31.1054961Z import triton.language as tl
2022-11-23T01:32:31.1055092Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1055237Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1055242Z 
2022-11-23T01:32:31.1055247Z 
2022-11-23T01:32:31.1055419Z triton_fused_convolution0 = async_compile.triton('''
2022-11-23T01:32:31.1055494Z import triton
2022-11-23T01:32:31.1055590Z import triton.language as tl
2022-11-23T01:32:31.1055708Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1055815Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1055943Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1056072Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1056078Z 
2022-11-23T01:32:31.1056454Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.1056528Z @triton.jit
2022-11-23T01:32:31.1056667Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1056743Z     xnumel = 11648
2022-11-23T01:32:31.1056843Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1056973Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1057050Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1057121Z     x3 = xindex
2022-11-23T01:32:31.1057209Z     x1 = (xindex // 364) % 16
2022-11-23T01:32:31.1057318Z     tmp0 = tl.load(in_out_ptr0 + (x3), xmask)
2022-11-23T01:32:31.1057419Z     tmp1 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.1057500Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.1057641Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.1057720Z ''')
2022-11-23T01:32:31.1057725Z 
2022-11-23T01:32:31.1057730Z 
2022-11-23T01:32:31.1057826Z async_compile.wait(globals())
2022-11-23T01:32:31.1057906Z del async_compile
2022-11-23T01:32:31.1057911Z 
2022-11-23T01:32:31.1057987Z def call(args):
2022-11-23T01:32:31.1058073Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.1058149Z     args.clear()
2022-11-23T01:32:31.1058290Z     buf0 = aten.convolution(arg0_1, arg1_1, None, (4,), (0,), (1,), True, (0,), 1)
2022-11-23T01:32:31.1058396Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2022-11-23T01:32:31.1058469Z     del arg0_1
2022-11-23T01:32:31.1058541Z     del arg1_1
2022-11-23T01:32:31.1058693Z     buf1 = as_strided(buf0, (2, 16, 364), (5824, 364, 1)); del buf0  # reuse
2022-11-23T01:32:31.1058921Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1059076Z     triton_fused_convolution0.run(buf1, arg2_1, 11648, grid=grid(11648), stream=stream0)
2022-11-23T01:32:31.1059151Z     del arg2_1
2022-11-23T01:32:31.1059220Z     return (buf1, )
2022-11-23T01:32:31.1059236Z 
2022-11-23T01:32:31.1059240Z 
2022-11-23T01:32:31.1059314Z if __name__ == "__main__":
2022-11-23T01:32:31.1059434Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1059563Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1059782Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1059993Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1060188Z     arg2_1 = rand_strided((16, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1060321Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.1060329Z 
2022-11-23T01:32:31.1060401Z ok (0.114s)
2022-11-23T01:32:31.1060695Z   test_cos_cuda (__main__.CudaTests) ... [2022-11-23 01:29:28,833] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1061011Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1061232Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1061485Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1061762Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1062081Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1062426Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1062745Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1063119Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134> 
2022-11-23T01:32:31.1063222Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1063313Z                2 LOAD_METHOD              1 (cos)
2022-11-23T01:32:31.1063412Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1063507Z                6 CALL_METHOD              1
2022-11-23T01:32:31.1063604Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.1063682Z               10 BINARY_ADD
2022-11-23T01:32:31.1063786Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1063885Z               14 LOAD_METHOD              1 (cos)
2022-11-23T01:32:31.1063973Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1064070Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1064147Z               20 BINARY_ADD
2022-11-23T01:32:31.1064240Z               22 CALL_METHOD              1
2022-11-23T01:32:31.1064334Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.1064415Z               26 RETURN_VALUE
2022-11-23T01:32:31.1064481Z  
2022-11-23T01:32:31.1064486Z 
2022-11-23T01:32:31.1064802Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135
2022-11-23T01:32:31.1065013Z [2022-11-23 01:29:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1065361Z [2022-11-23 01:29:28,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1065666Z [2022-11-23 01:29:28,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T01:32:31.1065948Z [2022-11-23 01:29:28,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1066187Z [2022-11-23 01:29:28,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.1066469Z [2022-11-23 01:29:28,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1066715Z [2022-11-23 01:29:28,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1067045Z [2022-11-23 01:29:28,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1067321Z [2022-11-23 01:29:28,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:31.1067623Z [2022-11-23 01:29:28,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1067959Z [2022-11-23 01:29:28,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1068268Z [2022-11-23 01:29:28,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1068535Z [2022-11-23 01:29:28,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1068785Z [2022-11-23 01:29:28,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1069161Z [2022-11-23 01:29:28,849] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134>
2022-11-23T01:32:31.1069410Z [2022-11-23 01:29:28,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1069645Z [2022-11-23 01:29:28,849] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1069899Z [2022-11-23 01:29:28,850] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1070151Z [2022-11-23 01:29:28,853] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1070437Z [2022-11-23 01:29:28,854] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1070575Z  __compiled_fn_432 <eval_with_key>.2678 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1070676Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1070787Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T01:32:31.1070962Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T01:32:31.1071141Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.1071250Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T01:32:31.1071360Z output, output, output, ((add, cos_1),), {}
2022-11-23T01:32:31.1071366Z 
2022-11-23T01:32:31.1071682Z [2022-11-23 01:29:28,854] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1071788Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1071886Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1071979Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1072080Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1072204Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1072318Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1072400Z              12 RETURN_VALUE
2022-11-23T01:32:31.1072405Z 
2022-11-23T01:32:31.1072463Z  
2022-11-23T01:32:31.1072781Z [2022-11-23 01:29:28,854] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1072902Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_432)
2022-11-23T01:32:31.1072999Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1073096Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1073178Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1073271Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.1073374Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1073486Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1073584Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1073667Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1073778Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1073876Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1073958Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1074050Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.1074124Z              26 RETURN_VALUE
2022-11-23T01:32:31.1074129Z 
2022-11-23T01:32:31.1074194Z  
2022-11-23T01:32:31.1074382Z [2022-11-23 01:29:28,855] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1074458Z  - 
2022-11-23T01:32:31.1074582Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1074651Z             {
2022-11-23T01:32:31.1074794Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1074977Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.1075101Z                 'obj_weakref': None
2022-11-23T01:32:31.1075329Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1075402Z             }
2022-11-23T01:32:31.1075471Z             
2022-11-23T01:32:31.1075546Z  - 
2022-11-23T01:32:31.1075673Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1075735Z             {
2022-11-23T01:32:31.1075881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1075993Z                 'code': None,
2022-11-23T01:32:31.1076202Z                 'obj_weakref': <weakref at 0x7f201e3a6660; to 'Tensor' at 0x7f2115adbec0>
2022-11-23T01:32:31.1076452Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1076521Z             }
2022-11-23T01:32:31.1076589Z             
2022-11-23T01:32:31.1076656Z  - 
2022-11-23T01:32:31.1076793Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1076860Z             {
2022-11-23T01:32:31.1077001Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1077180Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1077308Z                 'obj_weakref': None
2022-11-23T01:32:31.1077536Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1077599Z             }
2022-11-23T01:32:31.1077668Z             
2022-11-23T01:32:31.1077744Z  - 
2022-11-23T01:32:31.1077869Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1077938Z             {
2022-11-23T01:32:31.1078078Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1078294Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1078408Z                 'obj_weakref': None
2022-11-23T01:32:31.1078630Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1078699Z             }
2022-11-23T01:32:31.1078768Z             
2022-11-23T01:32:31.1078843Z  - 
2022-11-23T01:32:31.1079015Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1079116Z             {
2022-11-23T01:32:31.1079234Z                 'guard_types': None,
2022-11-23T01:32:31.1079346Z                 'code': None,
2022-11-23T01:32:31.1079468Z                 'obj_weakref': None
2022-11-23T01:32:31.1079594Z                 'guarded_class': None
2022-11-23T01:32:31.1079663Z             }
2022-11-23T01:32:31.1079732Z             
2022-11-23T01:32:31.1079985Z [2022-11-23 01:29:28,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422
2022-11-23T01:32:31.1080277Z [2022-11-23 01:29:28,867] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.1080630Z [2022-11-23 01:29:28,935] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jd/cjdolxn526ec35ki646iqwo65bm7xzsw7cbst5ru7ufrggfvov2d.py
2022-11-23T01:32:31.1080899Z [2022-11-23 01:29:28,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422
2022-11-23T01:32:31.1081142Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1081459Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1081680Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1081935Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1082213Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1082529Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1082880Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1083201Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1083578Z [2022-11-23 01:29:28,938] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134> 
2022-11-23T01:32:31.1083682Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1083782Z                2 LOAD_METHOD              1 (cos)
2022-11-23T01:32:31.1083881Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1083977Z                6 CALL_METHOD              1
2022-11-23T01:32:31.1084075Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.1084154Z               10 BINARY_ADD
2022-11-23T01:32:31.1084250Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1084351Z               14 LOAD_METHOD              1 (cos)
2022-11-23T01:32:31.1084446Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1084542Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1084621Z               20 BINARY_ADD
2022-11-23T01:32:31.1084716Z               22 CALL_METHOD              1
2022-11-23T01:32:31.1084810Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.1084886Z               26 RETURN_VALUE
2022-11-23T01:32:31.1084952Z  
2022-11-23T01:32:31.1084957Z 
2022-11-23T01:32:31.1085274Z [2022-11-23 01:29:28,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135
2022-11-23T01:32:31.1085495Z [2022-11-23 01:29:28,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1085827Z [2022-11-23 01:29:28,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1086098Z [2022-11-23 01:29:28,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T01:32:31.1086379Z [2022-11-23 01:29:28,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1086619Z [2022-11-23 01:29:28,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.1086899Z [2022-11-23 01:29:28,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1087136Z [2022-11-23 01:29:28,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1087462Z [2022-11-23 01:29:28,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1087742Z [2022-11-23 01:29:28,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:31.1088047Z [2022-11-23 01:29:28,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1088389Z [2022-11-23 01:29:28,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1088697Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.1088966Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1089214Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1089590Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134>
2022-11-23T01:32:31.1089843Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1090080Z [2022-11-23 01:29:28,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1090328Z [2022-11-23 01:29:28,954] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1090578Z [2022-11-23 01:29:28,959] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1090772Z [2022-11-23 01:29:28,959] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1090915Z  __compiled_fn_433 <eval_with_key>.2684 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1091010Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1091119Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T01:32:31.1091296Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T01:32:31.1091473Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.1091576Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T01:32:31.1091687Z output, output, output, ((add, cos_1),), {}
2022-11-23T01:32:31.1091693Z 
2022-11-23T01:32:31.1092018Z [2022-11-23 01:29:28,960] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1092119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1092219Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1092313Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1092412Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1092497Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1092592Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1092704Z              12 RETURN_VALUE
2022-11-23T01:32:31.1092727Z 
2022-11-23T01:32:31.1092794Z  
2022-11-23T01:32:31.1093113Z [2022-11-23 01:29:28,960] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1093229Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_433)
2022-11-23T01:32:31.1093327Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1093425Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1093501Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1093595Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.1093706Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1093816Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1093912Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1093995Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1094105Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1094196Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1094280Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1094374Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.1094456Z              26 RETURN_VALUE
2022-11-23T01:32:31.1094461Z 
2022-11-23T01:32:31.1094526Z  
2022-11-23T01:32:31.1094714Z [2022-11-23 01:29:28,960] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1094792Z  - 
2022-11-23T01:32:31.1094908Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1094978Z             {
2022-11-23T01:32:31.1095121Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1095310Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.1095434Z                 'obj_weakref': None
2022-11-23T01:32:31.1095657Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1095731Z             }
2022-11-23T01:32:31.1095801Z             
2022-11-23T01:32:31.1095872Z  - 
2022-11-23T01:32:31.1096000Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1096070Z             {
2022-11-23T01:32:31.1096217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1096329Z                 'code': None,
2022-11-23T01:32:31.1096543Z                 'obj_weakref': <weakref at 0x7f20680b31f0; to 'Tensor' at 0x7f201e3a67a0>
2022-11-23T01:32:31.1096792Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1096855Z             }
2022-11-23T01:32:31.1096924Z             
2022-11-23T01:32:31.1097001Z  - 
2022-11-23T01:32:31.1097135Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1097203Z             {
2022-11-23T01:32:31.1097343Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1097510Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1097637Z                 'obj_weakref': None
2022-11-23T01:32:31.1097874Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1097943Z             }
2022-11-23T01:32:31.1098011Z             
2022-11-23T01:32:31.1098088Z  - 
2022-11-23T01:32:31.1098213Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1098275Z             {
2022-11-23T01:32:31.1098415Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1098634Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1098758Z                 'obj_weakref': None
2022-11-23T01:32:31.1099102Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1099172Z             }
2022-11-23T01:32:31.1099241Z             
2022-11-23T01:32:31.1099309Z  - 
2022-11-23T01:32:31.1099446Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1099565Z             {
2022-11-23T01:32:31.1099690Z                 'guard_types': None,
2022-11-23T01:32:31.1099828Z                 'code': None,
2022-11-23T01:32:31.1099950Z                 'obj_weakref': None
2022-11-23T01:32:31.1100077Z                 'guarded_class': None
2022-11-23T01:32:31.1100138Z             }
2022-11-23T01:32:31.1100207Z             
2022-11-23T01:32:31.1100469Z [2022-11-23 01:29:28,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423
2022-11-23T01:32:31.1100760Z [2022-11-23 01:29:28,973] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.1101129Z [2022-11-23 01:29:29,041] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fb/cfblgqtj5owugjhwonafpds5ewvtyhwgvgsjjw557rapmrfmsnjx.py
2022-11-23T01:32:31.1101394Z [2022-11-23 01:29:29,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423
2022-11-23T01:32:31.1101400Z 
2022-11-23T01:32:31.1101502Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1101581Z import torch
2022-11-23T01:32:31.1101649Z import random
2022-11-23T01:32:31.1101771Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1101897Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1101902Z 
2022-11-23T01:32:31.1101986Z aten = torch.ops.aten
2022-11-23T01:32:31.1102127Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1102226Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1102231Z 
2022-11-23T01:32:31.1102307Z import triton
2022-11-23T01:32:31.1102403Z import triton.language as tl
2022-11-23T01:32:31.1102524Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1102673Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1102678Z 
2022-11-23T01:32:31.1102683Z 
2022-11-23T01:32:31.1102868Z triton_fused_add_1_add_cos_1_cos0 = async_compile.triton('''
2022-11-23T01:32:31.1102946Z import triton
2022-11-23T01:32:31.1103039Z import triton.language as tl
2022-11-23T01:32:31.1103159Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1103266Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1103402Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1103523Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1103528Z 
2022-11-23T01:32:31.1103919Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.1103993Z @triton.jit
2022-11-23T01:32:31.1104139Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1104217Z     xnumel = 256
2022-11-23T01:32:31.1104317Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1104451Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1104540Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1104608Z     x0 = xindex
2022-11-23T01:32:31.1104708Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1104791Z     tmp1 = tl.cos(tmp0)
2022-11-23T01:32:31.1104862Z     tmp2 = 2
2022-11-23T01:32:31.1104942Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.1105015Z     tmp4 = 1
2022-11-23T01:32:31.1105088Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.1105169Z     tmp6 = tl.cos(tmp5)
2022-11-23T01:32:31.1105309Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1105447Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1105534Z ''')
2022-11-23T01:32:31.1105540Z 
2022-11-23T01:32:31.1105544Z 
2022-11-23T01:32:31.1105640Z async_compile.wait(globals())
2022-11-23T01:32:31.1105722Z del async_compile
2022-11-23T01:32:31.1105727Z 
2022-11-23T01:32:31.1105802Z def call(args):
2022-11-23T01:32:31.1105869Z     arg0_1, = args
2022-11-23T01:32:31.1105978Z     args.clear()
2022-11-23T01:32:31.1106182Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1106405Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1106497Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1106659Z     triton_fused_add_1_add_cos_1_cos0.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.1106735Z     del arg0_1
2022-11-23T01:32:31.1106810Z     return (buf0, buf1, )
2022-11-23T01:32:31.1106815Z 
2022-11-23T01:32:31.1106827Z 
2022-11-23T01:32:31.1106901Z if __name__ == "__main__":
2022-11-23T01:32:31.1107022Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1107151Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1107354Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1107469Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.1107474Z 
2022-11-23T01:32:31.1107481Z 
2022-11-23T01:32:31.1107583Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1107664Z import torch
2022-11-23T01:32:31.1107733Z import random
2022-11-23T01:32:31.1107856Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1107981Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1107987Z 
2022-11-23T01:32:31.1108070Z aten = torch.ops.aten
2022-11-23T01:32:31.1108210Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1108308Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1108313Z 
2022-11-23T01:32:31.1114924Z import triton
2022-11-23T01:32:31.1115045Z import triton.language as tl
2022-11-23T01:32:31.1115173Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1115320Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1115326Z 
2022-11-23T01:32:31.1115331Z 
2022-11-23T01:32:31.1115546Z triton_fused_add_cos_1_cos_add_10 = async_compile.triton('''
2022-11-23T01:32:31.1115625Z import triton
2022-11-23T01:32:31.1115725Z import triton.language as tl
2022-11-23T01:32:31.1115842Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1115947Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1116077Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1116208Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1116213Z 
2022-11-23T01:32:31.1116605Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.1116680Z @triton.jit
2022-11-23T01:32:31.1116827Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1116905Z     xnumel = 256
2022-11-23T01:32:31.1117006Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1117142Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1117230Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1117296Z     x0 = xindex
2022-11-23T01:32:31.1117419Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.1117502Z     tmp1 = tl.cos(tmp0)
2022-11-23T01:32:31.1117575Z     tmp2 = 2
2022-11-23T01:32:31.1117656Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.1117730Z     tmp4 = 1
2022-11-23T01:32:31.1117803Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.1117884Z     tmp6 = tl.cos(tmp5)
2022-11-23T01:32:31.1118024Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1118162Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1118257Z ''')
2022-11-23T01:32:31.1118263Z 
2022-11-23T01:32:31.1118268Z 
2022-11-23T01:32:31.1118363Z async_compile.wait(globals())
2022-11-23T01:32:31.1118441Z del async_compile
2022-11-23T01:32:31.1118446Z 
2022-11-23T01:32:31.1118524Z def call(args):
2022-11-23T01:32:31.1118654Z     arg0_1, = args
2022-11-23T01:32:31.1118734Z     args.clear()
2022-11-23T01:32:31.1118961Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1119162Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1119254Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1119416Z     triton_fused_add_cos_1_cos_add_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.1119490Z     del arg0_1
2022-11-23T01:32:31.1119565Z     return (buf0, buf1, )
2022-11-23T01:32:31.1119571Z 
2022-11-23T01:32:31.1119582Z 
2022-11-23T01:32:31.1119657Z if __name__ == "__main__":
2022-11-23T01:32:31.1119778Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1119909Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1120113Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1120230Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.1120236Z 
2022-11-23T01:32:31.1120312Z ok (0.211s)
2022-11-23T01:32:31.1120622Z   test_cudnn_rnn_cuda (__main__.CudaTests) ... [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1120940Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1121156Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1121412Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1121695Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1122016Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1122357Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1122684Z [2022-11-23 01:29:31,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1123059Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafb50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2870> 
2022-11-23T01:32:31.1123160Z  2893           0 LOAD_FAST                1 (b0)
2022-11-23T01:32:31.1123166Z 
2022-11-23T01:32:31.1123266Z 2894           2 LOAD_FAST                2 (b1)
2022-11-23T01:32:31.1123270Z 
2022-11-23T01:32:31.1123367Z 2895           4 LOAD_FAST                3 (b2)
2022-11-23T01:32:31.1123372Z 
2022-11-23T01:32:31.1123461Z 2896           6 LOAD_FAST                4 (b3)
2022-11-23T01:32:31.1123477Z 
2022-11-23T01:32:31.1123568Z 2897           8 LOAD_FAST                5 (b4)
2022-11-23T01:32:31.1123573Z 
2022-11-23T01:32:31.1123667Z 2898          10 LOAD_FAST                6 (b5)
2022-11-23T01:32:31.1123672Z 
2022-11-23T01:32:31.1123765Z 2899          12 LOAD_FAST                7 (b6)
2022-11-23T01:32:31.1123770Z 
2022-11-23T01:32:31.1123863Z 2900          14 LOAD_FAST                8 (b7)
2022-11-23T01:32:31.1123868Z 
2022-11-23T01:32:31.1123962Z 2901          16 LOAD_FAST                9 (b8)
2022-11-23T01:32:31.1123967Z 
2022-11-23T01:32:31.1124063Z 2902          18 LOAD_FAST               10 (b9)
2022-11-23T01:32:31.1124068Z 
2022-11-23T01:32:31.1124164Z 2903          20 LOAD_FAST               11 (b10)
2022-11-23T01:32:31.1124169Z 
2022-11-23T01:32:31.1124267Z 2904          22 LOAD_FAST               12 (b11)
2022-11-23T01:32:31.1124272Z 
2022-11-23T01:32:31.1124368Z 2905          24 LOAD_FAST               13 (b12)
2022-11-23T01:32:31.1124373Z 
2022-11-23T01:32:31.1124500Z 2906          26 LOAD_FAST               14 (b13)
2022-11-23T01:32:31.1124522Z 
2022-11-23T01:32:31.1124611Z 2907          28 LOAD_FAST               15 (b14)
2022-11-23T01:32:31.1124616Z 
2022-11-23T01:32:31.1124711Z 2908          30 LOAD_FAST               16 (b15)
2022-11-23T01:32:31.1124716Z 
2022-11-23T01:32:31.1124811Z 2892          32 BUILD_LIST              16
2022-11-23T01:32:31.1124909Z               34 STORE_FAST              20 (a1)
2022-11-23T01:32:31.1124914Z 
2022-11-23T01:32:31.1125015Z 2910          36 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1125123Z               38 LOAD_METHOD              1 (_cudnn_rnn)
2022-11-23T01:32:31.1125128Z 
2022-11-23T01:32:31.1125226Z 2911          40 LOAD_FAST                0 (a0)
2022-11-23T01:32:31.1125231Z 
2022-11-23T01:32:31.1125326Z 2912          42 LOAD_FAST               20 (a1)
2022-11-23T01:32:31.1125331Z 
2022-11-23T01:32:31.1125429Z 2913          44 LOAD_CONST               1 (4)
2022-11-23T01:32:31.1125434Z 
2022-11-23T01:32:31.1125525Z 2914          46 LOAD_FAST               17 (a3)
2022-11-23T01:32:31.1125540Z 
2022-11-23T01:32:31.1125628Z 2915          48 LOAD_FAST               18 (a4)
2022-11-23T01:32:31.1125633Z 
2022-11-23T01:32:31.1125728Z 2916          50 LOAD_FAST               19 (a5)
2022-11-23T01:32:31.1125733Z 
2022-11-23T01:32:31.1125830Z 2917          52 LOAD_CONST               2 (2)
2022-11-23T01:32:31.1125835Z 
2022-11-23T01:32:31.1125934Z 2918          54 LOAD_CONST               3 (2048)
2022-11-23T01:32:31.1125939Z 
2022-11-23T01:32:31.1126037Z 2919          56 LOAD_CONST               4 (0)
2022-11-23T01:32:31.1126041Z 
2022-11-23T01:32:31.1126138Z 2920          58 LOAD_CONST               2 (2)
2022-11-23T01:32:31.1126143Z 
2022-11-23T01:32:31.1126244Z 2921          60 LOAD_CONST               5 (False)
2022-11-23T01:32:31.1126250Z 
2022-11-23T01:32:31.1126345Z 2922          62 LOAD_CONST               6 (0.0)
2022-11-23T01:32:31.1126350Z 
2022-11-23T01:32:31.1126454Z 2923          64 LOAD_CONST               5 (False)
2022-11-23T01:32:31.1126459Z 
2022-11-23T01:32:31.1126553Z 2924          66 LOAD_CONST               7 (True)
2022-11-23T01:32:31.1126565Z 
2022-11-23T01:32:31.1126652Z 2925          68 BUILD_LIST               0
2022-11-23T01:32:31.1126658Z 
2022-11-23T01:32:31.1126756Z 2926          70 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1126761Z 
2022-11-23T01:32:31.1126858Z 2910          72 CALL_METHOD             16
2022-11-23T01:32:31.1126943Z               74 RETURN_VALUE
2022-11-23T01:32:31.1127011Z  
2022-11-23T01:32:31.1127016Z 
2022-11-23T01:32:31.1127337Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2893
2022-11-23T01:32:31.1127554Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b0 []
2022-11-23T01:32:31.1127870Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2894
2022-11-23T01:32:31.1128112Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b1 [TensorVariable()]
2022-11-23T01:32:31.1128413Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2895
2022-11-23T01:32:31.1128685Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1128992Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2896
2022-11-23T01:32:31.1129291Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1129608Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2897
2022-11-23T01:32:31.1129955Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1130290Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2898
2022-11-23T01:32:31.1130630Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1130933Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2899
2022-11-23T01:32:31.1131296Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1131599Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2900
2022-11-23T01:32:31.1131985Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1132294Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2901
2022-11-23T01:32:31.1132718Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1133025Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2902
2022-11-23T01:32:31.1133477Z [2022-11-23 01:29:31,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1133782Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2903
2022-11-23T01:32:31.1134259Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b10 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1134570Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2904
2022-11-23T01:32:31.1135072Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1135378Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2905
2022-11-23T01:32:31.1135907Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1136210Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2906
2022-11-23T01:32:31.1136782Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b13 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1137113Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2907
2022-11-23T01:32:31.1137685Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b14 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1137990Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2908
2022-11-23T01:32:31.1138593Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b15 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1139038Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2892
2022-11-23T01:32:31.1139664Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 16 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1139898Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [ListVariable()]
2022-11-23T01:32:31.1140207Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2910
2022-11-23T01:32:31.1140428Z [2022-11-23 01:29:31,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1140739Z [2022-11-23 01:29:31,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _cudnn_rnn [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1141041Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2911
2022-11-23T01:32:31.1141300Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a0 [TorchVariable(aten._cudnn_rnn)]
2022-11-23T01:32:31.1141604Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2912
2022-11-23T01:32:31.1141895Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten._cudnn_rnn), TensorVariable()]
2022-11-23T01:32:31.1142204Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2913
2022-11-23T01:32:31.1142506Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.1142807Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2914
2022-11-23T01:32:31.1143143Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a3 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1143497Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2915
2022-11-23T01:32:31.1143876Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a4 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.1144209Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2916
2022-11-23T01:32:31.1144607Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a5 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1144918Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2917
2022-11-23T01:32:31.1145341Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1145647Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2918
2022-11-23T01:32:31.1146109Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2048 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1146412Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2919
2022-11-23T01:32:31.1146905Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1147214Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2920
2022-11-23T01:32:31.1147742Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1148052Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2921
2022-11-23T01:32:31.1148630Z [2022-11-23 01:29:31,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1148933Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2922
2022-11-23T01:32:31.1149542Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.0 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.1149855Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2923
2022-11-23T01:32:31.1150625Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:31.1150960Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2924
2022-11-23T01:32:31.1151649Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.1151956Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2925
2022-11-23T01:32:31.1152674Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:31.1152982Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2926
2022-11-23T01:32:31.1153709Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(bool), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:31.1154016Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2910
2022-11-23T01:32:31.1154793Z [2022-11-23 01:29:31,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 16 [TorchVariable(aten._cudnn_rnn), TensorVariable(), ListVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(bool), ConstantVariable(bool), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1155042Z [2022-11-23 01:29:31,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1155417Z [2022-11-23 01:29:31,339] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafb50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2870>
2022-11-23T01:32:31.1155666Z [2022-11-23 01:29:31,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1155905Z [2022-11-23 01:29:31,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1156161Z [2022-11-23 01:29:31,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1156421Z [2022-11-23 01:29:31,352] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1156617Z [2022-11-23 01:29:31,352] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1156755Z  __compiled_fn_434 <eval_with_key>.2690 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1156851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1156945Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1157036Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.1157129Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.1157250Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:31.1157360Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:31.1157444Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T01:32:31.1157536Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T01:32:31.1157627Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T01:32:31.1157721Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T01:32:31.1157815Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T01:32:31.1157909Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T01:32:31.1158000Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T01:32:31.1158084Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T01:32:31.1158176Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T01:32:31.1158267Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T01:32:31.1158359Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T01:32:31.1158451Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T01:32:31.1158542Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T01:32:31.1158634Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T01:32:31.1158868Z call_function, _cudnn_rnn, aten._cudnn_rnn, (ex_0_, [ex_1_, ex_2_, ex_3_, ex_4_, ex_5_, ex_6_, ex_7_, ex_8_, ex_9_, ex_10_, ex_11_, ex_12_, ex_13_, ex_14_, ex_15_, ex_16_], 4, ex_17_, ex_18_, ex_19_, 2, 2048, 0, 2, False, 0.0, False, True, [], None), {}
2022-11-23T01:32:31.1159079Z call_function, getitem, <built-in function getitem>, (_cudnn_rnn, 0), {}
2022-11-23T01:32:31.1159284Z call_function, getitem_1, <built-in function getitem>, (_cudnn_rnn, 1), {}
2022-11-23T01:32:31.1159488Z call_function, getitem_2, <built-in function getitem>, (_cudnn_rnn, 2), {}
2022-11-23T01:32:31.1159687Z call_function, getitem_3, <built-in function getitem>, (_cudnn_rnn, 3), {}
2022-11-23T01:32:31.1159883Z call_function, getitem_4, <built-in function getitem>, (_cudnn_rnn, 4), {}
2022-11-23T01:32:31.1160039Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4),), {}
2022-11-23T01:32:31.1160045Z 
2022-11-23T01:32:31.1160379Z [2022-11-23 01:29:31,353] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1160484Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1160575Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1160672Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1160774Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1160867Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1160962Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1161045Z              12 RETURN_VALUE
2022-11-23T01:32:31.1161051Z 
2022-11-23T01:32:31.1161116Z  
2022-11-23T01:32:31.1161435Z [2022-11-23 01:29:31,354] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1161553Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_434)
2022-11-23T01:32:31.1161655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1161757Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1161842Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1161939Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1162034Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1162117Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1162205Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1162300Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1162381Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.1162475Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1162568Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1162652Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.1162747Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1162832Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1162913Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.1163037Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1163149Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:31.1163230Z              36 BINARY_SUBSCR
2022-11-23T01:32:31.1163324Z              38 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1163416Z              40 LOAD_CONST               7 (6)
2022-11-23T01:32:31.1163490Z              42 BINARY_SUBSCR
2022-11-23T01:32:31.1163583Z              44 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1163676Z              46 LOAD_CONST               8 (7)
2022-11-23T01:32:31.1163758Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.1163852Z              50 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1163945Z              52 LOAD_CONST               9 (8)
2022-11-23T01:32:31.1164027Z              54 BINARY_SUBSCR
2022-11-23T01:32:31.1164112Z              56 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1164205Z              58 LOAD_CONST              10 (9)
2022-11-23T01:32:31.1164285Z              60 BINARY_SUBSCR
2022-11-23T01:32:31.1164381Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1164477Z              64 LOAD_CONST              11 (10)
2022-11-23T01:32:31.1164559Z              66 BINARY_SUBSCR
2022-11-23T01:32:31.1164651Z              68 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1164738Z              70 LOAD_CONST              12 (11)
2022-11-23T01:32:31.1164820Z              72 BINARY_SUBSCR
2022-11-23T01:32:31.1164915Z              74 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1165008Z              76 LOAD_CONST              13 (12)
2022-11-23T01:32:31.1165089Z              78 BINARY_SUBSCR
2022-11-23T01:32:31.1165183Z              80 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1165276Z              82 LOAD_CONST              14 (13)
2022-11-23T01:32:31.1165350Z              84 BINARY_SUBSCR
2022-11-23T01:32:31.1165442Z              86 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1165538Z              88 LOAD_CONST              15 (14)
2022-11-23T01:32:31.1165621Z              90 BINARY_SUBSCR
2022-11-23T01:32:31.1165718Z              92 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1165811Z              94 LOAD_CONST              16 (15)
2022-11-23T01:32:31.1165893Z              96 BINARY_SUBSCR
2022-11-23T01:32:31.1165979Z              98 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1166074Z             100 LOAD_CONST              17 (16)
2022-11-23T01:32:31.1166155Z             102 BINARY_SUBSCR
2022-11-23T01:32:31.1166248Z             104 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1166341Z             106 LOAD_CONST              18 (17)
2022-11-23T01:32:31.1166423Z             108 BINARY_SUBSCR
2022-11-23T01:32:31.1166515Z             110 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1166601Z             112 LOAD_CONST              19 (18)
2022-11-23T01:32:31.1166685Z             114 BINARY_SUBSCR
2022-11-23T01:32:31.1166778Z             116 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1166873Z             118 LOAD_CONST              20 (19)
2022-11-23T01:32:31.1166958Z             120 BINARY_SUBSCR
2022-11-23T01:32:31.1167057Z             122 CALL_FUNCTION           20
2022-11-23T01:32:31.1167174Z             124 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1167277Z             126 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1167374Z             128 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1167456Z             130 BINARY_SUBSCR
2022-11-23T01:32:31.1167565Z             132 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1167662Z             134 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1167744Z             136 BINARY_SUBSCR
2022-11-23T01:32:31.1167852Z             138 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1167941Z             140 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1168023Z             142 BINARY_SUBSCR
2022-11-23T01:32:31.1168133Z             144 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1168259Z             146 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1168359Z             148 BINARY_SUBSCR
2022-11-23T01:32:31.1168467Z             150 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1168562Z             152 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1168645Z             154 BINARY_SUBSCR
2022-11-23T01:32:31.1168732Z             156 BUILD_TUPLE              5
2022-11-23T01:32:31.1168816Z             158 RETURN_VALUE
2022-11-23T01:32:31.1168821Z 
2022-11-23T01:32:31.1168888Z  
2022-11-23T01:32:31.1169081Z [2022-11-23 01:29:31,355] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1169160Z  - 
2022-11-23T01:32:31.1169286Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1169356Z             {
2022-11-23T01:32:31.1169494Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1169686Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 20'],
2022-11-23T01:32:31.1169811Z                 'obj_weakref': None
2022-11-23T01:32:31.1170039Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1170115Z             }
2022-11-23T01:32:31.1170184Z             
2022-11-23T01:32:31.1170260Z  - 
2022-11-23T01:32:31.1170382Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1170453Z             {
2022-11-23T01:32:31.1170607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1170720Z                 'code': None,
2022-11-23T01:32:31.1170934Z                 'obj_weakref': <weakref at 0x7f20682c5620; to 'Tensor' at 0x7f20682c4d10>
2022-11-23T01:32:31.1171185Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1171255Z             }
2022-11-23T01:32:31.1171317Z             
2022-11-23T01:32:31.1171394Z  - 
2022-11-23T01:32:31.1171522Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1171592Z             {
2022-11-23T01:32:31.1171741Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1171860Z                 'code': None,
2022-11-23T01:32:31.1172072Z                 'obj_weakref': <weakref at 0x7f20682c4fe0; to 'Tensor' at 0x7f20682c6610>
2022-11-23T01:32:31.1172316Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1172386Z             }
2022-11-23T01:32:31.1172455Z             
2022-11-23T01:32:31.1172531Z  - 
2022-11-23T01:32:31.1172660Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.1172729Z             {
2022-11-23T01:32:31.1172876Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1172982Z                 'code': None,
2022-11-23T01:32:31.1173193Z                 'obj_weakref': <weakref at 0x7f20682c5ee0; to 'Tensor' at 0x7f20682c4590>
2022-11-23T01:32:31.1173439Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1173508Z             }
2022-11-23T01:32:31.1173579Z             
2022-11-23T01:32:31.1173658Z  - 
2022-11-23T01:32:31.1173785Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.1173847Z             {
2022-11-23T01:32:31.1173995Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1174111Z                 'code': None,
2022-11-23T01:32:31.1174319Z                 'obj_weakref': <weakref at 0x7f20682c68e0; to 'Tensor' at 0x7f20682c7f60>
2022-11-23T01:32:31.1174574Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1174643Z             }
2022-11-23T01:32:31.1174713Z             
2022-11-23T01:32:31.1174781Z  - 
2022-11-23T01:32:31.1174908Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:31.1174978Z             {
2022-11-23T01:32:31.1175124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1175234Z                 'code': None,
2022-11-23T01:32:31.1175511Z                 'obj_weakref': <weakref at 0x7f20682c4680; to 'Tensor' at 0x7f20682c62f0>
2022-11-23T01:32:31.1175788Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1175851Z             }
2022-11-23T01:32:31.1175920Z             
2022-11-23T01:32:31.1175996Z  - 
2022-11-23T01:32:31.1176124Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:31.1176197Z             {
2022-11-23T01:32:31.1176345Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1176458Z                 'code': None,
2022-11-23T01:32:31.1176657Z                 'obj_weakref': <weakref at 0x7f20682c45e0; to 'Tensor' at 0x7f20682c5a80>
2022-11-23T01:32:31.1176905Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1176976Z             }
2022-11-23T01:32:31.1177044Z             
2022-11-23T01:32:31.1177119Z  - 
2022-11-23T01:32:31.1177247Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T01:32:31.1177319Z             {
2022-11-23T01:32:31.1177457Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1177573Z                 'code': None,
2022-11-23T01:32:31.1177782Z                 'obj_weakref': <weakref at 0x7f2023237ce0; to 'Tensor' at 0x7f20682c6430>
2022-11-23T01:32:31.1178026Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1178097Z             }
2022-11-23T01:32:31.1178166Z             
2022-11-23T01:32:31.1178241Z  - 
2022-11-23T01:32:31.1178361Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T01:32:31.1178430Z             {
2022-11-23T01:32:31.1178577Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1178688Z                 'code': None,
2022-11-23T01:32:31.1179021Z                 'obj_weakref': <weakref at 0x7f201e379b70; to 'Tensor' at 0x7f20682c6020>
2022-11-23T01:32:31.1179270Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1179347Z             }
2022-11-23T01:32:31.1179409Z             
2022-11-23T01:32:31.1179487Z  - 
2022-11-23T01:32:31.1179616Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T01:32:31.1179685Z             {
2022-11-23T01:32:31.1179832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1179945Z                 'code': None,
2022-11-23T01:32:31.1180157Z                 'obj_weakref': <weakref at 0x7f201e378c70; to 'Tensor' at 0x7f20682c7ce0>
2022-11-23T01:32:31.1180394Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1180465Z             }
2022-11-23T01:32:31.1180535Z             
2022-11-23T01:32:31.1180611Z  - 
2022-11-23T01:32:31.1180739Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T01:32:31.1180808Z             {
2022-11-23T01:32:31.1180956Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1181062Z                 'code': None,
2022-11-23T01:32:31.1181272Z                 'obj_weakref': <weakref at 0x7f201e37a160; to 'Tensor' at 0x7f20682c5260>
2022-11-23T01:32:31.1181523Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1181593Z             }
2022-11-23T01:32:31.1181664Z             
2022-11-23T01:32:31.1181740Z  - 
2022-11-23T01:32:31.1181875Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1181938Z             {
2022-11-23T01:32:31.1182078Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1182255Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1182379Z                 'obj_weakref': None
2022-11-23T01:32:31.1182606Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1182677Z             }
2022-11-23T01:32:31.1182746Z             
2022-11-23T01:32:31.1182815Z  - 
2022-11-23T01:32:31.1182993Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T01:32:31.1183066Z             {
2022-11-23T01:32:31.1183239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1183353Z                 'code': None,
2022-11-23T01:32:31.1183562Z                 'obj_weakref': <weakref at 0x7f201e37b970; to 'Tensor' at 0x7f20682c5cb0>
2022-11-23T01:32:31.1183807Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1183870Z             }
2022-11-23T01:32:31.1183941Z             
2022-11-23T01:32:31.1184017Z  - 
2022-11-23T01:32:31.1184149Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T01:32:31.1184218Z             {
2022-11-23T01:32:31.1184365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1184479Z                 'code': None,
2022-11-23T01:32:31.1184680Z                 'obj_weakref': <weakref at 0x7f201e37af20; to 'Tensor' at 0x7f20682c6890>
2022-11-23T01:32:31.1184926Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1184998Z             }
2022-11-23T01:32:31.1185067Z             
2022-11-23T01:32:31.1185144Z  - 
2022-11-23T01:32:31.1185279Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T01:32:31.1185348Z             {
2022-11-23T01:32:31.1185487Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1185600Z                 'code': None,
2022-11-23T01:32:31.1185807Z                 'obj_weakref': <weakref at 0x7f201e37bd80; to 'Tensor' at 0x7f20682c5030>
2022-11-23T01:32:31.1186051Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1186121Z             }
2022-11-23T01:32:31.1186189Z             
2022-11-23T01:32:31.1186265Z  - 
2022-11-23T01:32:31.1186389Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T01:32:31.1186459Z             {
2022-11-23T01:32:31.1186605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1186720Z                 'code': None,
2022-11-23T01:32:31.1186935Z                 'obj_weakref': <weakref at 0x7f201e37ade0; to 'Tensor' at 0x7f20682c76a0>
2022-11-23T01:32:31.1187178Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1187247Z             }
2022-11-23T01:32:31.1187309Z             
2022-11-23T01:32:31.1187385Z  - 
2022-11-23T01:32:31.1187517Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T01:32:31.1187587Z             {
2022-11-23T01:32:31.1187735Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1187848Z                 'code': None,
2022-11-23T01:32:31.1188057Z                 'obj_weakref': <weakref at 0x7f201e379f80; to 'Tensor' at 0x7f20682c7bf0>
2022-11-23T01:32:31.1188293Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1188365Z             }
2022-11-23T01:32:31.1188434Z             
2022-11-23T01:32:31.1188513Z  - 
2022-11-23T01:32:31.1188647Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T01:32:31.1188716Z             {
2022-11-23T01:32:31.1188862Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1188967Z                 'code': None,
2022-11-23T01:32:31.1189173Z                 'obj_weakref': <weakref at 0x7f202333a8e0; to 'Tensor' at 0x7f20682c7c40>
2022-11-23T01:32:31.1189416Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1189486Z             }
2022-11-23T01:32:31.1189558Z             
2022-11-23T01:32:31.1189635Z  - 
2022-11-23T01:32:31.1189765Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T01:32:31.1189827Z             {
2022-11-23T01:32:31.1189974Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1190086Z                 'code': None,
2022-11-23T01:32:31.1190403Z                 'obj_weakref': <weakref at 0x7f2023338ef0; to 'Tensor' at 0x7f20682c5080>
2022-11-23T01:32:31.1190652Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1190745Z             }
2022-11-23T01:32:31.1190815Z             
2022-11-23T01:32:31.1190885Z  - 
2022-11-23T01:32:31.1191015Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T01:32:31.1191085Z             {
2022-11-23T01:32:31.1191231Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1191343Z                 'code': None,
2022-11-23T01:32:31.1191551Z                 'obj_weakref': <weakref at 0x7f202333a890; to 'Tensor' at 0x7f20682c6c50>
2022-11-23T01:32:31.1191822Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1191901Z             }
2022-11-23T01:32:31.1191979Z             
2022-11-23T01:32:31.1192056Z  - 
2022-11-23T01:32:31.1192185Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T01:32:31.1192256Z             {
2022-11-23T01:32:31.1192404Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1192521Z                 'code': None,
2022-11-23T01:32:31.1192718Z                 'obj_weakref': <weakref at 0x7f2023417240; to 'Tensor' at 0x7f20682c43b0>
2022-11-23T01:32:31.1192962Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1193032Z             }
2022-11-23T01:32:31.1193100Z             
2022-11-23T01:32:31.1193176Z  - 
2022-11-23T01:32:31.1193305Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T01:32:31.1193376Z             {
2022-11-23T01:32:31.1193514Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1193627Z                 'code': None,
2022-11-23T01:32:31.1193832Z                 'obj_weakref': <weakref at 0x7f20234149a0; to 'Tensor' at 0x7f20682c5350>
2022-11-23T01:32:31.1194077Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1194150Z             }
2022-11-23T01:32:31.1194222Z             
2022-11-23T01:32:31.1194299Z  - 
2022-11-23T01:32:31.1194420Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1194489Z             {
2022-11-23T01:32:31.1194635Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1194859Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1194985Z                 'obj_weakref': None
2022-11-23T01:32:31.1195212Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1195282Z             }
2022-11-23T01:32:31.1195351Z             
2022-11-23T01:32:31.1195420Z  - 
2022-11-23T01:32:31.1195560Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1195634Z             {
2022-11-23T01:32:31.1195762Z                 'guard_types': None,
2022-11-23T01:32:31.1195876Z                 'code': None,
2022-11-23T01:32:31.1196003Z                 'obj_weakref': None
2022-11-23T01:32:31.1196123Z                 'guarded_class': None
2022-11-23T01:32:31.1196199Z             }
2022-11-23T01:32:31.1196269Z             
2022-11-23T01:32:31.1196541Z [2022-11-23 01:29:31,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424
2022-11-23T01:32:31.1196774Z [2022-11-23 01:29:31,464] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._cudnn_rnn
2022-11-23T01:32:31.1197147Z [2022-11-23 01:29:31,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4g/c4gkkhmpegzdha7wf26rv5mmvfk2kox3frk65idlxsqtvvlmw26a.py
2022-11-23T01:32:31.1197420Z [2022-11-23 01:29:31,470] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424
2022-11-23T01:32:31.1197427Z 
2022-11-23T01:32:31.1197529Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1197597Z import torch
2022-11-23T01:32:31.1197675Z import random
2022-11-23T01:32:31.1197800Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1197962Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1197985Z 
2022-11-23T01:32:31.1198072Z aten = torch.ops.aten
2022-11-23T01:32:31.1198217Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1198316Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1198322Z 
2022-11-23T01:32:31.1198399Z import triton
2022-11-23T01:32:31.1198487Z import triton.language as tl
2022-11-23T01:32:31.1198620Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1198769Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1198775Z 
2022-11-23T01:32:31.1198779Z 
2022-11-23T01:32:31.1198874Z async_compile.wait(globals())
2022-11-23T01:32:31.1198954Z del async_compile
2022-11-23T01:32:31.1198959Z 
2022-11-23T01:32:31.1199036Z def call(args):
2022-11-23T01:32:31.1199232Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1 = args
2022-11-23T01:32:31.1199314Z     args.clear()
2022-11-23T01:32:31.1199547Z     buf0 = aten._cudnn_rnn(arg0_1, [arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1], 4, arg17_1, arg18_1, arg19_1, 2, 2048, 0, 2, False, 0.0, False, True, [], None)
2022-11-23T01:32:31.1199622Z     del arg0_1
2022-11-23T01:32:31.1199700Z     del arg10_1
2022-11-23T01:32:31.1199776Z     del arg11_1
2022-11-23T01:32:31.1199851Z     del arg12_1
2022-11-23T01:32:31.1199924Z     del arg13_1
2022-11-23T01:32:31.1199996Z     del arg14_1
2022-11-23T01:32:31.1200061Z     del arg15_1
2022-11-23T01:32:31.1200137Z     del arg16_1
2022-11-23T01:32:31.1200210Z     del arg17_1
2022-11-23T01:32:31.1200282Z     del arg18_1
2022-11-23T01:32:31.1200353Z     del arg19_1
2022-11-23T01:32:31.1200426Z     del arg1_1
2022-11-23T01:32:31.1200498Z     del arg2_1
2022-11-23T01:32:31.1200564Z     del arg3_1
2022-11-23T01:32:31.1200640Z     del arg4_1
2022-11-23T01:32:31.1200713Z     del arg5_1
2022-11-23T01:32:31.1200787Z     del arg6_1
2022-11-23T01:32:31.1200860Z     del arg7_1
2022-11-23T01:32:31.1200932Z     del arg8_1
2022-11-23T01:32:31.1200997Z     del arg9_1
2022-11-23T01:32:31.1201072Z     buf1 = buf0[0]
2022-11-23T01:32:31.1201192Z     assert_size_stride(buf1, (92, 8, 4096), (32768, 4096, 1))
2022-11-23T01:32:31.1201268Z     buf2 = buf0[1]
2022-11-23T01:32:31.1201385Z     assert_size_stride(buf2, (4, 8, 2048), (16384, 2048, 1))
2022-11-23T01:32:31.1201460Z     buf3 = buf0[2]
2022-11-23T01:32:31.1201575Z     assert_size_stride(buf3, (4, 8, 2048), (16384, 2048, 1))
2022-11-23T01:32:31.1201644Z     buf4 = buf0[3]
2022-11-23T01:32:31.1201747Z     assert_size_stride(buf4, (0, ), (1, ))
2022-11-23T01:32:31.1201822Z     buf5 = buf0[4]
2022-11-23T01:32:31.1201931Z     assert_size_stride(buf5, (167837696, ), (1, ))
2022-11-23T01:32:31.1202003Z     del buf0
2022-11-23T01:32:31.1202106Z     return (buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:31.1202114Z 
2022-11-23T01:32:31.1202119Z 
2022-11-23T01:32:31.1202205Z if __name__ == "__main__":
2022-11-23T01:32:31.1202327Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1202451Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1202680Z     arg0_1 = rand_strided((92, 8, 2048), (16384, 2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1202894Z     arg1_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1203105Z     arg2_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1203308Z     arg3_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1203508Z     arg4_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1203716Z     arg5_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1203953Z     arg6_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1204164Z     arg7_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1204362Z     arg8_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1204568Z     arg9_1 = rand_strided((8192, 4096), (4096, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1204780Z     arg10_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1204987Z     arg11_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1205187Z     arg12_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1205399Z     arg13_1 = rand_strided((8192, 4096), (4096, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1205606Z     arg14_1 = rand_strided((8192, 2048), (2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1205799Z     arg15_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1206002Z     arg16_1 = rand_strided((8192, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1206212Z     arg17_1 = rand_strided((167837696, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1206432Z     arg18_1 = rand_strided((4, 8, 2048), (16384, 2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1206652Z     arg19_1 = rand_strided((4, 8, 2048), (16384, 2048, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1206881Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1]))
2022-11-23T01:32:31.1206887Z 
2022-11-23T01:32:31.1206963Z ok (2.867s)
2022-11-23T01:32:31.1207295Z   test_dense_mask_index_cuda (__main__.CudaTests) ... [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1207616Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1207837Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1208094Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1208376Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1208696Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1209041Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1209370Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1209750Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e898f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3805> 
2022-11-23T01:32:31.1209855Z  3806           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1209958Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1210061Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.1210153Z                6 LOAD_ATTR                3 (select)
2022-11-23T01:32:31.1210253Z                8 LOAD_METHOD              4 (int)
2022-11-23T01:32:31.1210352Z               10 LOAD_FAST                1 (y)
2022-11-23T01:32:31.1210453Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1210549Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.1210673Z               16 CALL_METHOD              3
2022-11-23T01:32:31.1210773Z               18 STORE_FAST               1 (y)
2022-11-23T01:32:31.1210797Z 
2022-11-23T01:32:31.1210886Z 3807          20 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1210983Z               22 LOAD_FAST                1 (y)
2022-11-23T01:32:31.1211072Z               24 BINARY_MULTIPLY
2022-11-23T01:32:31.1211168Z               26 STORE_FAST               2 (z)
2022-11-23T01:32:31.1211173Z 
2022-11-23T01:32:31.1211268Z 3808          28 LOAD_FAST                2 (z)
2022-11-23T01:32:31.1211370Z               30 LOAD_METHOD              5 (sum)
2022-11-23T01:32:31.1211467Z               32 CALL_METHOD              0
2022-11-23T01:32:31.1211550Z               34 RETURN_VALUE
2022-11-23T01:32:31.1211611Z  
2022-11-23T01:32:31.1211616Z 
2022-11-23T01:32:31.1211959Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3806
2022-11-23T01:32:31.1212211Z [2022-11-23 01:29:31,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1212579Z [2022-11-23 01:29:31,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1212875Z [2022-11-23 01:29:31,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1213183Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1213446Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int [TorchVariable(aten.select)]
2022-11-23T01:32:31.1213711Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(aten.select.int)]
2022-11-23T01:32:31.1214003Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select.int), TensorVariable()]
2022-11-23T01:32:31.1214338Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.select.int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1214697Z [2022-11-23 01:29:31,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.select.int), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1214943Z [2022-11-23 01:29:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:31.1215261Z [2022-11-23 01:29:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3807
2022-11-23T01:32:31.1215479Z [2022-11-23 01:29:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.1215725Z [2022-11-23 01:29:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.1216015Z [2022-11-23 01:29:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1216261Z [2022-11-23 01:29:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.1216578Z [2022-11-23 01:29:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3808
2022-11-23T01:32:31.1216794Z [2022-11-23 01:29:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.1217043Z [2022-11-23 01:29:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.1217319Z [2022-11-23 01:29:31,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.1217573Z [2022-11-23 01:29:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.1217983Z [2022-11-23 01:29:31,924] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e898f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3805>
2022-11-23T01:32:31.1218257Z [2022-11-23 01:29:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.1218499Z [2022-11-23 01:29:31,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1218763Z [2022-11-23 01:29:31,925] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1219144Z [2022-11-23 01:29:31,928] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1219342Z [2022-11-23 01:29:31,928] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1219485Z  __compiled_fn_435 <eval_with_key>.2696 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1219577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1219673Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1219809Z call_function, select_int, aten.select.int, (ex_1_, 0, 2), {}
2022-11-23T01:32:31.1220004Z call_function, mul, <built-in function mul>, (ex_0_, select_int), {}
2022-11-23T01:32:31.1220102Z call_method, sum_1, sum, (mul,), {}
2022-11-23T01:32:31.1220203Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:31.1220209Z 
2022-11-23T01:32:31.1220537Z [2022-11-23 01:29:31,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1220639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1220730Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1220825Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1220924Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1221019Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1221118Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1221203Z              12 RETURN_VALUE
2022-11-23T01:32:31.1221208Z 
2022-11-23T01:32:31.1221276Z  
2022-11-23T01:32:31.1221589Z [2022-11-23 01:29:31,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1221710Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_435)
2022-11-23T01:32:31.1221807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1221907Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1221990Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1222087Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1222184Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1222267Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1222356Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1222453Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.1222538Z              18 RETURN_VALUE
2022-11-23T01:32:31.1222546Z 
2022-11-23T01:32:31.1222612Z  
2022-11-23T01:32:31.1222802Z [2022-11-23 01:29:31,929] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1222879Z  - 
2022-11-23T01:32:31.1223003Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1223066Z             {
2022-11-23T01:32:31.1223212Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1223402Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1223528Z                 'obj_weakref': None
2022-11-23T01:32:31.1223756Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1223826Z             }
2022-11-23T01:32:31.1223897Z             
2022-11-23T01:32:31.1223966Z  - 
2022-11-23T01:32:31.1224095Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1224163Z             {
2022-11-23T01:32:31.1224367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1224484Z                 'code': None,
2022-11-23T01:32:31.1224739Z                 'obj_weakref': <weakref at 0x7f20230d5260; to 'Tensor' at 0x7f21276d4950>
2022-11-23T01:32:31.1224994Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1225057Z             }
2022-11-23T01:32:31.1225128Z             
2022-11-23T01:32:31.1225204Z  - 
2022-11-23T01:32:31.1225332Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1225400Z             {
2022-11-23T01:32:31.1225548Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1225662Z                 'code': None,
2022-11-23T01:32:31.1225864Z                 'obj_weakref': <weakref at 0x7f2023100040; to 'Tensor' at 0x7f21284a8f40>
2022-11-23T01:32:31.1226116Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1226185Z             }
2022-11-23T01:32:31.1226257Z             
2022-11-23T01:32:31.1226335Z  - 
2022-11-23T01:32:31.1226470Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1226540Z             {
2022-11-23T01:32:31.1226672Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1226850Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1226976Z                 'obj_weakref': None
2022-11-23T01:32:31.1227211Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1227283Z             }
2022-11-23T01:32:31.1227352Z             
2022-11-23T01:32:31.1227427Z  - 
2022-11-23T01:32:31.1227547Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1227617Z             {
2022-11-23T01:32:31.1227760Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1227984Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1228109Z                 'obj_weakref': None
2022-11-23T01:32:31.1228335Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1228408Z             }
2022-11-23T01:32:31.1228470Z             
2022-11-23T01:32:31.1228545Z  - 
2022-11-23T01:32:31.1228684Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.1228754Z             {
2022-11-23T01:32:31.1228881Z                 'guard_types': None,
2022-11-23T01:32:31.1228995Z                 'code': None,
2022-11-23T01:32:31.1229118Z                 'obj_weakref': None
2022-11-23T01:32:31.1229238Z                 'guarded_class': None
2022-11-23T01:32:31.1229307Z             }
2022-11-23T01:32:31.1229376Z             
2022-11-23T01:32:31.1229644Z [2022-11-23 01:29:31,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425
2022-11-23T01:32:31.1229898Z [2022-11-23 01:29:31,945] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.1230152Z [2022-11-23 01:29:31,949] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.1230631Z [2022-11-23 01:29:32,113] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cie7iif7rt2vaw7njqpndnzupvp5v36pnvzwuugxum3puzlpycbt.py
2022-11-23T01:32:31.1230924Z [2022-11-23 01:29:32,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425
2022-11-23T01:32:31.1231156Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1231478Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1231704Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1231961Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1232281Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1232624Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1232980Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1233307Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1233687Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e898f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3805> 
2022-11-23T01:32:31.1233791Z  3806           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1233887Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1233992Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.1234092Z                6 LOAD_ATTR                3 (select)
2022-11-23T01:32:31.1234194Z                8 LOAD_METHOD              4 (int)
2022-11-23T01:32:31.1234292Z               10 LOAD_FAST                1 (y)
2022-11-23T01:32:31.1234390Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1234486Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.1234575Z               16 CALL_METHOD              3
2022-11-23T01:32:31.1234672Z               18 STORE_FAST               1 (y)
2022-11-23T01:32:31.1234678Z 
2022-11-23T01:32:31.1234772Z 3807          20 LOAD_FAST                0 (x)
2022-11-23T01:32:31.1234870Z               22 LOAD_FAST                1 (y)
2022-11-23T01:32:31.1234960Z               24 BINARY_MULTIPLY
2022-11-23T01:32:31.1235054Z               26 STORE_FAST               2 (z)
2022-11-23T01:32:31.1235061Z 
2022-11-23T01:32:31.1235155Z 3808          28 LOAD_FAST                2 (z)
2022-11-23T01:32:31.1235259Z               30 LOAD_METHOD              5 (sum)
2022-11-23T01:32:31.1235348Z               32 CALL_METHOD              0
2022-11-23T01:32:31.1235430Z               34 RETURN_VALUE
2022-11-23T01:32:31.1235498Z  
2022-11-23T01:32:31.1235503Z 
2022-11-23T01:32:31.1235821Z [2022-11-23 01:29:32,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3806
2022-11-23T01:32:31.1236044Z [2022-11-23 01:29:32,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1236403Z [2022-11-23 01:29:32,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1236698Z [2022-11-23 01:29:32,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1237006Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1237270Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int [TorchVariable(aten.select)]
2022-11-23T01:32:31.1237532Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(aten.select.int)]
2022-11-23T01:32:31.1237826Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select.int), TensorVariable()]
2022-11-23T01:32:31.1238185Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.select.int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1238602Z [2022-11-23 01:29:32,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.select.int), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1238868Z [2022-11-23 01:29:32,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:31.1239186Z [2022-11-23 01:29:32,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3807
2022-11-23T01:32:31.1239402Z [2022-11-23 01:29:32,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.1239646Z [2022-11-23 01:29:32,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.1239932Z [2022-11-23 01:29:32,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1240176Z [2022-11-23 01:29:32,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.1240486Z [2022-11-23 01:29:32,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3808
2022-11-23T01:32:31.1240705Z [2022-11-23 01:29:32,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.1240952Z [2022-11-23 01:29:32,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.1241237Z [2022-11-23 01:29:32,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.1241488Z [2022-11-23 01:29:32,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.1241864Z [2022-11-23 01:29:32,127] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e898f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3805>
2022-11-23T01:32:31.1242110Z [2022-11-23 01:29:32,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.1242348Z [2022-11-23 01:29:32,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1242606Z [2022-11-23 01:29:32,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1242864Z [2022-11-23 01:29:32,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1243053Z [2022-11-23 01:29:32,131] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1243197Z  __compiled_fn_436 <eval_with_key>.2702 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1243295Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1243390Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1243523Z call_function, select_int, aten.select.int, (ex_1_, 0, 2), {}
2022-11-23T01:32:31.1243728Z call_function, mul, <built-in function mul>, (ex_0_, select_int), {}
2022-11-23T01:32:31.1243841Z call_method, sum_1, sum, (mul,), {}
2022-11-23T01:32:31.1243953Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:31.1243969Z 
2022-11-23T01:32:31.1244300Z [2022-11-23 01:29:32,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1244405Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1244505Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1244601Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1244703Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1244797Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1244893Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1244970Z              12 RETURN_VALUE
2022-11-23T01:32:31.1244976Z 
2022-11-23T01:32:31.1245045Z  
2022-11-23T01:32:31.1245368Z [2022-11-23 01:29:32,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1245519Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_436)
2022-11-23T01:32:31.1245619Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1245741Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1245827Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1245924Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1246014Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1246097Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1246192Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1246290Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.1246373Z              18 RETURN_VALUE
2022-11-23T01:32:31.1246378Z 
2022-11-23T01:32:31.1246446Z  
2022-11-23T01:32:31.1246642Z [2022-11-23 01:29:32,132] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1246712Z  - 
2022-11-23T01:32:31.1246840Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1246912Z             {
2022-11-23T01:32:31.1247060Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1247259Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1247392Z                 'obj_weakref': None
2022-11-23T01:32:31.1247622Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1247686Z             }
2022-11-23T01:32:31.1247755Z             
2022-11-23T01:32:31.1247833Z  - 
2022-11-23T01:32:31.1247964Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1248034Z             {
2022-11-23T01:32:31.1248185Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1248298Z                 'code': None,
2022-11-23T01:32:31.1248503Z                 'obj_weakref': <weakref at 0x7f2023101080; to 'Tensor' at 0x7f2060139300>
2022-11-23T01:32:31.1248754Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1248825Z             }
2022-11-23T01:32:31.1248894Z             
2022-11-23T01:32:31.1248977Z  - 
2022-11-23T01:32:31.1249106Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1249178Z             {
2022-11-23T01:32:31.1249321Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1249435Z                 'code': None,
2022-11-23T01:32:31.1249651Z                 'obj_weakref': <weakref at 0x7f2023103bf0; to 'Tensor' at 0x7f20233b2250>
2022-11-23T01:32:31.1249907Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1249978Z             }
2022-11-23T01:32:31.1250047Z             
2022-11-23T01:32:31.1250123Z  - 
2022-11-23T01:32:31.1250254Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1250325Z             {
2022-11-23T01:32:31.1250468Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1250645Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1250771Z                 'obj_weakref': None
2022-11-23T01:32:31.1251006Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1251079Z             }
2022-11-23T01:32:31.1251142Z             
2022-11-23T01:32:31.1251219Z  - 
2022-11-23T01:32:31.1251348Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1251419Z             {
2022-11-23T01:32:31.1251561Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1251781Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1251907Z                 'obj_weakref': None
2022-11-23T01:32:31.1252122Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1252193Z             }
2022-11-23T01:32:31.1252265Z             
2022-11-23T01:32:31.1252351Z  - 
2022-11-23T01:32:31.1252512Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.1252600Z             {
2022-11-23T01:32:31.1252729Z                 'guard_types': None,
2022-11-23T01:32:31.1252867Z                 'code': None,
2022-11-23T01:32:31.1253008Z                 'obj_weakref': None
2022-11-23T01:32:31.1253134Z                 'guarded_class': None
2022-11-23T01:32:31.1253203Z             }
2022-11-23T01:32:31.1253272Z             
2022-11-23T01:32:31.1253536Z [2022-11-23 01:29:32,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426
2022-11-23T01:32:31.1253790Z [2022-11-23 01:29:32,145] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.1254030Z [2022-11-23 01:29:32,147] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.1254045Z 
2022-11-23T01:32:31.1254140Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1254216Z import torch
2022-11-23T01:32:31.1254291Z import random
2022-11-23T01:32:31.1254416Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1254546Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1254553Z 
2022-11-23T01:32:31.1254644Z aten = torch.ops.aten
2022-11-23T01:32:31.1254789Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1254882Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1254887Z 
2022-11-23T01:32:31.1254965Z import triton
2022-11-23T01:32:31.1255061Z import triton.language as tl
2022-11-23T01:32:31.1255191Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1255337Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1255343Z 
2022-11-23T01:32:31.1255348Z 
2022-11-23T01:32:31.1255526Z triton_fused_mul_sum_1_select0 = async_compile.triton('''
2022-11-23T01:32:31.1255602Z import triton
2022-11-23T01:32:31.1255697Z import triton.language as tl
2022-11-23T01:32:31.1255808Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1255915Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1256050Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.1256185Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1256193Z 
2022-11-23T01:32:31.1256291Z @reduction(size_hints=[16, 8192],
2022-11-23T01:32:31.1256411Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.1256500Z               filename=__file__,
2022-11-23T01:32:31.1256837Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.1256913Z @triton.jit
2022-11-23T01:32:31.1257094Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.1257170Z     xnumel = 13
2022-11-23T01:32:31.1257246Z     rnumel = 7877
2022-11-23T01:32:31.1257345Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1257488Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.1257577Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1257693Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.1257769Z     x0 = xindex
2022-11-23T01:32:31.1257914Z     tmp4 = tl.load(in_ptr1 + (2 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None)
2022-11-23T01:32:31.1258036Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.1258146Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.1258238Z         rindex = roffset + rbase
2022-11-23T01:32:31.1258325Z         rmask = rindex < rnumel
2022-11-23T01:32:31.1258391Z         r1 = rindex
2022-11-23T01:32:31.1258473Z         tmp0 = r1 + (7877*x0)
2022-11-23T01:32:31.1258550Z         tmp1 = 102400
2022-11-23T01:32:31.1258636Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.1259071Z         tmp3 = tl.load(in_ptr0 + (r1 + (7877*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0)
2022-11-23T01:32:31.1259158Z         tmp5 = tmp3 * tmp4
2022-11-23T01:32:31.1259308Z         tmp6 = tl.where(tmp2, tmp5, 0)
2022-11-23T01:32:31.1259428Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.1259577Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.1259679Z     tl.store(out_ptr0 + x0, tmp7, xmask)
2022-11-23T01:32:31.1259773Z ''')
2022-11-23T01:32:31.1259779Z 
2022-11-23T01:32:31.1259784Z 
2022-11-23T01:32:31.1259960Z triton_fused_mul_sum_1_select1 = async_compile.triton('''
2022-11-23T01:32:31.1260037Z import triton
2022-11-23T01:32:31.1260137Z import triton.language as tl
2022-11-23T01:32:31.1260247Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1260353Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1260486Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.1260617Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1260622Z 
2022-11-23T01:32:31.1260714Z @reduction(size_hints=[1, 16],
2022-11-23T01:32:31.1260831Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.1260921Z               filename=__file__,
2022-11-23T01:32:31.1261250Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.1261318Z @triton.jit
2022-11-23T01:32:31.1261492Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.1261567Z     xnumel = 1
2022-11-23T01:32:31.1261644Z     rnumel = 13
2022-11-23T01:32:31.1261745Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1261883Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.1261970Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1262082Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.1262203Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.1262311Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.1262403Z         rindex = roffset + rbase
2022-11-23T01:32:31.1262495Z         rmask = rindex < rnumel
2022-11-23T01:32:31.1262569Z         r0 = rindex
2022-11-23T01:32:31.1262767Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.1262884Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.1263004Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.1263140Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.1263226Z ''')
2022-11-23T01:32:31.1263232Z 
2022-11-23T01:32:31.1263236Z 
2022-11-23T01:32:31.1263329Z async_compile.wait(globals())
2022-11-23T01:32:31.1263409Z del async_compile
2022-11-23T01:32:31.1263414Z 
2022-11-23T01:32:31.1263490Z def call(args):
2022-11-23T01:32:31.1263572Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1263642Z     args.clear()
2022-11-23T01:32:31.1263841Z     buf0 = empty_strided((13, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1263936Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1264102Z     triton_fused_mul_sum_1_select0.run(arg0_1, arg1_1, buf0, 13, 7877, grid=grid(13), stream=stream0)
2022-11-23T01:32:31.1264176Z     del arg0_1
2022-11-23T01:32:31.1264251Z     del arg1_1
2022-11-23T01:32:31.1264440Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1264585Z     triton_fused_mul_sum_1_select1.run(buf0, buf1, 1, 13, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.1264661Z     return (buf1, )
2022-11-23T01:32:31.1264667Z 
2022-11-23T01:32:31.1264671Z 
2022-11-23T01:32:31.1264753Z if __name__ == "__main__":
2022-11-23T01:32:31.1264874Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1265006Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1265210Z     arg0_1 = rand_strided((102400, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1265409Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1265564Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1265587Z 
2022-11-23T01:32:31.1265947Z [2022-11-23 01:29:32,237] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ab/cab77rz46seh4ivesygipplm55mnds6w65mtbk4c75oatxc4mqbq.py
2022-11-23T01:32:31.1266208Z [2022-11-23 01:29:32,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426
2022-11-23T01:32:31.1266222Z 
2022-11-23T01:32:31.1266316Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1266390Z import torch
2022-11-23T01:32:31.1266467Z import random
2022-11-23T01:32:31.1266591Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1266718Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1266723Z 
2022-11-23T01:32:31.1266808Z aten = torch.ops.aten
2022-11-23T01:32:31.1266950Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1267041Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1267049Z 
2022-11-23T01:32:31.1267130Z import triton
2022-11-23T01:32:31.1267228Z import triton.language as tl
2022-11-23T01:32:31.1267358Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1267502Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1267508Z 
2022-11-23T01:32:31.1267512Z 
2022-11-23T01:32:31.1267689Z triton_fused_mul_sum_1_select0 = async_compile.triton('''
2022-11-23T01:32:31.1267765Z import triton
2022-11-23T01:32:31.1267859Z import triton.language as tl
2022-11-23T01:32:31.1267968Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1268073Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1268208Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.1268336Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1268342Z 
2022-11-23T01:32:31.1268436Z @reduction(size_hints=[16, 8192],
2022-11-23T01:32:31.1268556Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.1268643Z               filename=__file__,
2022-11-23T01:32:31.1268980Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.1269056Z @triton.jit
2022-11-23T01:32:31.1269238Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.1269313Z     xnumel = 13
2022-11-23T01:32:31.1269389Z     rnumel = 7877
2022-11-23T01:32:31.1269490Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1269630Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.1269720Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1269836Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.1269910Z     x0 = xindex
2022-11-23T01:32:31.1270073Z     tmp4 = tl.load(in_ptr1 + (2 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.1270194Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.1270382Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.1270488Z         rindex = roffset + rbase
2022-11-23T01:32:31.1270590Z         rmask = rindex < rnumel
2022-11-23T01:32:31.1270670Z         r1 = rindex
2022-11-23T01:32:31.1270762Z         tmp0 = r1 + (7877*x0)
2022-11-23T01:32:31.1270839Z         tmp1 = 102400
2022-11-23T01:32:31.1270924Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.1271256Z         tmp3 = tl.load(in_ptr0 + (r1 + (7877*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:31.1271341Z         tmp5 = tmp3 * tmp4
2022-11-23T01:32:31.1271437Z         tmp6 = tl.where(tmp2, tmp5, 0)
2022-11-23T01:32:31.1271554Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.1271671Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.1271813Z     tl.store(out_ptr0 + x0, tmp7, xmask)
2022-11-23T01:32:31.1271930Z ''')
2022-11-23T01:32:31.1271936Z 
2022-11-23T01:32:31.1271941Z 
2022-11-23T01:32:31.1272118Z triton_fused_mul_sum_1_select1 = async_compile.triton('''
2022-11-23T01:32:31.1272196Z import triton
2022-11-23T01:32:31.1272291Z import triton.language as tl
2022-11-23T01:32:31.1272401Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1272505Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1272637Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.1272767Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1272772Z 
2022-11-23T01:32:31.1272863Z @reduction(size_hints=[1, 16],
2022-11-23T01:32:31.1272982Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.1273069Z               filename=__file__,
2022-11-23T01:32:31.1273398Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.1273468Z @triton.jit
2022-11-23T01:32:31.1273641Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.1273715Z     xnumel = 1
2022-11-23T01:32:31.1273791Z     rnumel = 13
2022-11-23T01:32:31.1273891Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1274033Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.1274119Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1274231Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.1274352Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.1274461Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.1274552Z         rindex = roffset + rbase
2022-11-23T01:32:31.1274641Z         rmask = rindex < rnumel
2022-11-23T01:32:31.1274714Z         r0 = rindex
2022-11-23T01:32:31.1274916Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.1275034Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.1275151Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.1275288Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.1275379Z ''')
2022-11-23T01:32:31.1275385Z 
2022-11-23T01:32:31.1275389Z 
2022-11-23T01:32:31.1275485Z async_compile.wait(globals())
2022-11-23T01:32:31.1275562Z del async_compile
2022-11-23T01:32:31.1275568Z 
2022-11-23T01:32:31.1275643Z def call(args):
2022-11-23T01:32:31.1275723Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1275793Z     args.clear()
2022-11-23T01:32:31.1275991Z     buf0 = empty_strided((13, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1276082Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1276243Z     triton_fused_mul_sum_1_select0.run(arg0_1, arg1_1, buf0, 13, 7877, grid=grid(13), stream=stream0)
2022-11-23T01:32:31.1276320Z     del arg0_1
2022-11-23T01:32:31.1276395Z     del arg1_1
2022-11-23T01:32:31.1276589Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1276732Z     triton_fused_mul_sum_1_select1.run(buf0, buf1, 1, 13, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.1276814Z     return (buf1, )
2022-11-23T01:32:31.1276820Z 
2022-11-23T01:32:31.1276824Z 
2022-11-23T01:32:31.1276907Z if __name__ == "__main__":
2022-11-23T01:32:31.1277029Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1277160Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1277364Z     arg0_1 = rand_strided((102400, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1277560Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1277687Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1277693Z 
2022-11-23T01:32:31.1277766Z ok (0.329s)
2022-11-23T01:32:31.1278094Z   test_div1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1278458Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1278681Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1278940Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1279221Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1279539Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1279892Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1280221Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1280599Z [2022-11-23 01:29:32,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061> 
2022-11-23T01:32:31.1280703Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1280794Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1280894Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1280991Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1281091Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1281261Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1281363Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1281369Z 
2022-11-23T01:32:31.1281477Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1281567Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1281665Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1281760Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1281911Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1282079Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1282184Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1282191Z 
2022-11-23T01:32:31.1282294Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1282396Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1282485Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1282583Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1282730Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1282897Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1282996Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1283002Z 
2022-11-23T01:32:31.1283096Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1283192Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1283282Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1283287Z 
2022-11-23T01:32:31.1283373Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1283467Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1283561Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1283566Z 
2022-11-23T01:32:31.1283665Z 1062          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1283750Z               56 RETURN_VALUE
2022-11-23T01:32:31.1283819Z  
2022-11-23T01:32:31.1283824Z 
2022-11-23T01:32:31.1284182Z [2022-11-23 01:29:32,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063
2022-11-23T01:32:31.1284425Z [2022-11-23 01:29:32,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1284729Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1284986Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1285262Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1285569Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1285948Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1286351Z [2022-11-23 01:29:32,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1286670Z [2022-11-23 01:29:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064
2022-11-23T01:32:31.1286922Z [2022-11-23 01:29:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1287255Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1287534Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1287843Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1288183Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1288575Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1288995Z [2022-11-23 01:29:32,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1289306Z [2022-11-23 01:29:32,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065
2022-11-23T01:32:31.1289581Z [2022-11-23 01:29:32,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1289933Z [2022-11-23 01:29:32,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1290233Z [2022-11-23 01:29:32,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1290557Z [2022-11-23 01:29:32,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1290916Z [2022-11-23 01:29:32,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1291352Z [2022-11-23 01:29:32,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1291815Z [2022-11-23 01:29:32,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1292126Z [2022-11-23 01:29:32,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066
2022-11-23T01:32:31.1292417Z [2022-11-23 01:29:32,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1292729Z [2022-11-23 01:29:32,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1293098Z [2022-11-23 01:29:32,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1293410Z [2022-11-23 01:29:32,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067
2022-11-23T01:32:31.1293724Z [2022-11-23 01:29:32,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1294070Z [2022-11-23 01:29:32,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1294467Z [2022-11-23 01:29:32,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1294780Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062
2022-11-23T01:32:31.1295134Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1295385Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1295764Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061>
2022-11-23T01:32:31.1296013Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1296248Z [2022-11-23 01:29:32,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1296499Z [2022-11-23 01:29:32,272] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1296757Z [2022-11-23 01:29:32,280] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1296955Z [2022-11-23 01:29:32,281] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1297096Z  __compiled_fn_437 <eval_with_key>.2708 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1297193Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1297287Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1297481Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1297677Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1297866Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1298066Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1298268Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1298443Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1298469Z 
2022-11-23T01:32:31.1299175Z [2022-11-23 01:29:32,281] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1299284Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1299385Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1299481Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1299574Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1299667Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1299764Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1299846Z              12 RETURN_VALUE
2022-11-23T01:32:31.1299852Z 
2022-11-23T01:32:31.1299918Z  
2022-11-23T01:32:31.1300247Z [2022-11-23 01:29:32,281] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1300368Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_437)
2022-11-23T01:32:31.1300469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1300560Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1300644Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1300741Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1300838Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1300920Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1301013Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1301127Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1301230Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1301326Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1301408Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1301517Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1301615Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1301699Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1301809Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1301897Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1301980Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1302090Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1302184Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1302266Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1302375Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1302470Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1302545Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1302640Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1302722Z              50 RETURN_VALUE
2022-11-23T01:32:31.1302727Z 
2022-11-23T01:32:31.1302793Z  
2022-11-23T01:32:31.1302984Z [2022-11-23 01:29:32,282] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1303064Z  - 
2022-11-23T01:32:31.1303190Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1303252Z             {
2022-11-23T01:32:31.1303398Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1303591Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1303717Z                 'obj_weakref': None
2022-11-23T01:32:31.1303942Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1304013Z             }
2022-11-23T01:32:31.1304084Z             
2022-11-23T01:32:31.1304153Z  - 
2022-11-23T01:32:31.1304283Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1304353Z             {
2022-11-23T01:32:31.1304500Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1304612Z                 'code': None,
2022-11-23T01:32:31.1304881Z                 'obj_weakref': <weakref at 0x7f20680b0d60; to 'Tensor' at 0x7f201e37a480>
2022-11-23T01:32:31.1305139Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1305242Z             }
2022-11-23T01:32:31.1305305Z             
2022-11-23T01:32:31.1305382Z  - 
2022-11-23T01:32:31.1305512Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1305585Z             {
2022-11-23T01:32:31.1305735Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1305848Z                 'code': None,
2022-11-23T01:32:31.1306052Z                 'obj_weakref': <weakref at 0x7f20230b5850; to 'Tensor' at 0x7f20680be980>
2022-11-23T01:32:31.1306307Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1306381Z             }
2022-11-23T01:32:31.1306451Z             
2022-11-23T01:32:31.1306527Z  - 
2022-11-23T01:32:31.1306665Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1306739Z             {
2022-11-23T01:32:31.1306872Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1307053Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1307178Z                 'obj_weakref': None
2022-11-23T01:32:31.1307410Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1307481Z             }
2022-11-23T01:32:31.1307550Z             
2022-11-23T01:32:31.1307629Z  - 
2022-11-23T01:32:31.1307749Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1307819Z             {
2022-11-23T01:32:31.1307960Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1308183Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1308307Z                 'obj_weakref': None
2022-11-23T01:32:31.1308531Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1308603Z             }
2022-11-23T01:32:31.1308665Z             
2022-11-23T01:32:31.1308747Z  - 
2022-11-23T01:32:31.1308884Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1308953Z             {
2022-11-23T01:32:31.1309077Z                 'guard_types': None,
2022-11-23T01:32:31.1309190Z                 'code': None,
2022-11-23T01:32:31.1309315Z                 'obj_weakref': None
2022-11-23T01:32:31.1309433Z                 'guarded_class': None
2022-11-23T01:32:31.1309504Z             }
2022-11-23T01:32:31.1309573Z             
2022-11-23T01:32:31.1309835Z [2022-11-23 01:29:32,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427
2022-11-23T01:32:31.1310318Z [2022-11-23 01:29:32,310] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1310716Z [2022-11-23 01:29:32,555] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6i/c6iunlw23ajvkwoozlfylfh4gvmmxpvxfpjeksfjpqr7kw4xzomo.py
2022-11-23T01:32:31.1310988Z [2022-11-23 01:29:32,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427
2022-11-23T01:32:31.1311228Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1311543Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1311756Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1312010Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1312287Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1312645Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1313011Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1313332Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1313705Z [2022-11-23 01:29:32,560] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061> 
2022-11-23T01:32:31.1313810Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1313910Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1314013Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1314104Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1314205Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1314379Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1314483Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1314489Z 
2022-11-23T01:32:31.1314591Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1314688Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1314785Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1314874Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1315020Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1315186Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1315286Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1315291Z 
2022-11-23T01:32:31.1315390Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1315490Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1315587Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1315685Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1315824Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1315989Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1316087Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1316092Z 
2022-11-23T01:32:31.1316187Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1316282Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1316372Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1316377Z 
2022-11-23T01:32:31.1316474Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1316568Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1316653Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1316658Z 
2022-11-23T01:32:31.1316756Z 1062          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1316841Z               56 RETURN_VALUE
2022-11-23T01:32:31.1316911Z  
2022-11-23T01:32:31.1316915Z 
2022-11-23T01:32:31.1317233Z [2022-11-23 01:29:32,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063
2022-11-23T01:32:31.1317455Z [2022-11-23 01:29:32,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1317757Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1318010Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1318278Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1318623Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1319029Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1319429Z [2022-11-23 01:29:32,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1319746Z [2022-11-23 01:29:32,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064
2022-11-23T01:32:31.1319999Z [2022-11-23 01:29:32,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1320330Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1320610Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1320919Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1321261Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1321656Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1322081Z [2022-11-23 01:29:32,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1322405Z [2022-11-23 01:29:32,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065
2022-11-23T01:32:31.1322675Z [2022-11-23 01:29:32,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1323033Z [2022-11-23 01:29:32,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1323338Z [2022-11-23 01:29:32,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1323671Z [2022-11-23 01:29:32,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1324041Z [2022-11-23 01:29:32,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1324464Z [2022-11-23 01:29:32,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1324917Z [2022-11-23 01:29:32,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1325233Z [2022-11-23 01:29:32,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066
2022-11-23T01:32:31.1325531Z [2022-11-23 01:29:32,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1325880Z [2022-11-23 01:29:32,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1326272Z [2022-11-23 01:29:32,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1326589Z [2022-11-23 01:29:32,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067
2022-11-23T01:32:31.1326901Z [2022-11-23 01:29:32,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1327247Z [2022-11-23 01:29:32,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1327642Z [2022-11-23 01:29:32,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1327957Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062
2022-11-23T01:32:31.1328308Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1328556Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1328931Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061>
2022-11-23T01:32:31.1329179Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1329422Z [2022-11-23 01:29:32,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1329679Z [2022-11-23 01:29:32,589] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1329931Z [2022-11-23 01:29:32,598] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1330119Z [2022-11-23 01:29:32,598] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1330263Z  __compiled_fn_438 <eval_with_key>.2714 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1330359Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1330454Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1330647Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1330847Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1331044Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1331242Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1331439Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1331579Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1331585Z 
2022-11-23T01:32:31.1331914Z [2022-11-23 01:29:32,599] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1332016Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1332115Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1332215Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1332320Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1332413Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1332501Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1332613Z              12 RETURN_VALUE
2022-11-23T01:32:31.1332619Z 
2022-11-23T01:32:31.1332709Z  
2022-11-23T01:32:31.1333036Z [2022-11-23 01:29:32,599] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1333154Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_438)
2022-11-23T01:32:31.1333252Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1333350Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1333433Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1333522Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1333618Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1333701Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1333796Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1333910Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1334022Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1334121Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1334198Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1334307Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1334405Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1334489Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1334598Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1334695Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1334779Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1334880Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1334976Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1335057Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1335167Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1335264Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1335349Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1335445Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1335523Z              50 RETURN_VALUE
2022-11-23T01:32:31.1335528Z 
2022-11-23T01:32:31.1335594Z  
2022-11-23T01:32:31.1335786Z [2022-11-23 01:29:32,600] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1335863Z  - 
2022-11-23T01:32:31.1335991Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1336063Z             {
2022-11-23T01:32:31.1336214Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1336399Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1336526Z                 'obj_weakref': None
2022-11-23T01:32:31.1336756Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1336827Z             }
2022-11-23T01:32:31.1336897Z             
2022-11-23T01:32:31.1336975Z  - 
2022-11-23T01:32:31.1337106Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1337171Z             {
2022-11-23T01:32:31.1337322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1337437Z                 'code': None,
2022-11-23T01:32:31.1337656Z                 'obj_weakref': <weakref at 0x7f20232bdb70; to 'Tensor' at 0x7f2023415cb0>
2022-11-23T01:32:31.1337912Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1337984Z             }
2022-11-23T01:32:31.1338053Z             
2022-11-23T01:32:31.1338123Z  - 
2022-11-23T01:32:31.1338252Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1338321Z             {
2022-11-23T01:32:31.1338471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1338586Z                 'code': None,
2022-11-23T01:32:31.1338942Z                 'obj_weakref': <weakref at 0x7f211599f240; to 'Tensor' at 0x7f2023414e50>
2022-11-23T01:32:31.1339249Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1339339Z             }
2022-11-23T01:32:31.1339410Z             
2022-11-23T01:32:31.1339487Z  - 
2022-11-23T01:32:31.1339625Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1339695Z             {
2022-11-23T01:32:31.1339836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1340014Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1340132Z                 'obj_weakref': None
2022-11-23T01:32:31.1340365Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1340435Z             }
2022-11-23T01:32:31.1340503Z             
2022-11-23T01:32:31.1340579Z  - 
2022-11-23T01:32:31.1340706Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1340776Z             {
2022-11-23T01:32:31.1340911Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1341135Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1341264Z                 'obj_weakref': None
2022-11-23T01:32:31.1341489Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1341559Z             }
2022-11-23T01:32:31.1341628Z             
2022-11-23T01:32:31.1341704Z  - 
2022-11-23T01:32:31.1341834Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1341903Z             {
2022-11-23T01:32:31.1342029Z                 'guard_types': None,
2022-11-23T01:32:31.1342142Z                 'code': None,
2022-11-23T01:32:31.1342266Z                 'obj_weakref': None
2022-11-23T01:32:31.1342393Z                 'guarded_class': None
2022-11-23T01:32:31.1342461Z             }
2022-11-23T01:32:31.1342523Z             
2022-11-23T01:32:31.1342789Z [2022-11-23 01:29:32,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428
2022-11-23T01:32:31.1343213Z [2022-11-23 01:29:32,629] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1343574Z [2022-11-23 01:29:32,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xz/cxzc54qud332r4fgxb6pjt7u5jis7v7bnpmm7mknc3veszeoqsaa.py
2022-11-23T01:32:31.1343844Z [2022-11-23 01:29:32,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428
2022-11-23T01:32:31.1343850Z 
2022-11-23T01:32:31.1343951Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1344027Z import torch
2022-11-23T01:32:31.1344103Z import random
2022-11-23T01:32:31.1344219Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1344350Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1344356Z 
2022-11-23T01:32:31.1344443Z aten = torch.ops.aten
2022-11-23T01:32:31.1344585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1344688Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1344696Z 
2022-11-23T01:32:31.1344771Z import triton
2022-11-23T01:32:31.1344866Z import triton.language as tl
2022-11-23T01:32:31.1344998Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1345135Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1345141Z 
2022-11-23T01:32:31.1345154Z 
2022-11-23T01:32:31.1345344Z triton_fused_div_2_div_4_div_div_3_div_10 = async_compile.triton('''
2022-11-23T01:32:31.1345420Z import triton
2022-11-23T01:32:31.1345515Z import triton.language as tl
2022-11-23T01:32:31.1345633Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1345741Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1345877Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1346005Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1346011Z 
2022-11-23T01:32:31.1346498Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1346594Z @triton.jit
2022-11-23T01:32:31.1346779Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1346855Z     xnumel = 64
2022-11-23T01:32:31.1346956Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1347091Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1347179Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1347250Z     x0 = xindex
2022-11-23T01:32:31.1347343Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1347442Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1347524Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.1347626Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.1347727Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.1347868Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.1348004Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1348131Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1348265Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.1348395Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1348488Z ''')
2022-11-23T01:32:31.1348493Z 
2022-11-23T01:32:31.1348498Z 
2022-11-23T01:32:31.1348596Z async_compile.wait(globals())
2022-11-23T01:32:31.1348675Z del async_compile
2022-11-23T01:32:31.1348680Z 
2022-11-23T01:32:31.1348756Z def call(args):
2022-11-23T01:32:31.1348837Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1348907Z     args.clear()
2022-11-23T01:32:31.1349114Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1349315Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1349515Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1349711Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1349905Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1349998Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1350184Z     triton_fused_div_2_div_4_div_div_3_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1350315Z     del arg0_1
2022-11-23T01:32:31.1350406Z     del arg1_1
2022-11-23T01:32:31.1350521Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1350527Z 
2022-11-23T01:32:31.1350532Z 
2022-11-23T01:32:31.1350613Z if __name__ == "__main__":
2022-11-23T01:32:31.1350734Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1350868Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1351075Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1351266Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1351388Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1351393Z 
2022-11-23T01:32:31.1351398Z 
2022-11-23T01:32:31.1351498Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1351573Z import torch
2022-11-23T01:32:31.1351650Z import random
2022-11-23T01:32:31.1351773Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1351899Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1351904Z 
2022-11-23T01:32:31.1351988Z aten = torch.ops.aten
2022-11-23T01:32:31.1352121Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1352223Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1352228Z 
2022-11-23T01:32:31.1352338Z import triton
2022-11-23T01:32:31.1352433Z import triton.language as tl
2022-11-23T01:32:31.1352585Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1352729Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1352735Z 
2022-11-23T01:32:31.1352740Z 
2022-11-23T01:32:31.1352937Z triton_fused_div_3_div_1_div_4_div_div_20 = async_compile.triton('''
2022-11-23T01:32:31.1353013Z import triton
2022-11-23T01:32:31.1353099Z import triton.language as tl
2022-11-23T01:32:31.1353215Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1353320Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1353457Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1353586Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1353591Z 
2022-11-23T01:32:31.1354030Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1354108Z @triton.jit
2022-11-23T01:32:31.1354286Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1354361Z     xnumel = 64
2022-11-23T01:32:31.1354454Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1354587Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1354671Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1354744Z     x0 = xindex
2022-11-23T01:32:31.1354866Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.1354985Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.1355068Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.1355161Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.1355261Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.1355397Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.1355536Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1355671Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1355805Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.1355933Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1356012Z ''')
2022-11-23T01:32:31.1356018Z 
2022-11-23T01:32:31.1356030Z 
2022-11-23T01:32:31.1356119Z async_compile.wait(globals())
2022-11-23T01:32:31.1356198Z del async_compile
2022-11-23T01:32:31.1356203Z 
2022-11-23T01:32:31.1356280Z def call(args):
2022-11-23T01:32:31.1356361Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1356438Z     args.clear()
2022-11-23T01:32:31.1356635Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1356836Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1357023Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1357217Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1357409Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1357499Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1357682Z     triton_fused_div_3_div_1_div_4_div_div_20.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1357756Z     del arg0_1
2022-11-23T01:32:31.1357830Z     del arg1_1
2022-11-23T01:32:31.1357926Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1357940Z 
2022-11-23T01:32:31.1357945Z 
2022-11-23T01:32:31.1358020Z if __name__ == "__main__":
2022-11-23T01:32:31.1358141Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1358301Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1358500Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1358717Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1358840Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1358846Z 
2022-11-23T01:32:31.1358918Z ok (0.535s)
2022-11-23T01:32:31.1359222Z   test_div2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:32,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1359533Z [2022-11-23 01:29:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1359756Z [2022-11-23 01:29:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1360013Z [2022-11-23 01:29:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1360297Z [2022-11-23 01:29:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1360617Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1360959Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1361279Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1361651Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073> 
2022-11-23T01:32:31.1361754Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1361855Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1361951Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1362047Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1362148Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1362314Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1362416Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1362421Z 
2022-11-23T01:32:31.1362521Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1362620Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1362710Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1362812Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1362960Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1363125Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1363226Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1363232Z 
2022-11-23T01:32:31.1363335Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1363439Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1363536Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1363624Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1363773Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1363937Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1364036Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1364041Z 
2022-11-23T01:32:31.1364138Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1364233Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1364327Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1364332Z 
2022-11-23T01:32:31.1364427Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1364543Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1364638Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1364673Z 
2022-11-23T01:32:31.1364772Z 1074          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1364855Z               56 RETURN_VALUE
2022-11-23T01:32:31.1364926Z  
2022-11-23T01:32:31.1364931Z 
2022-11-23T01:32:31.1365250Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075
2022-11-23T01:32:31.1365473Z [2022-11-23 01:29:32,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1365779Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1366023Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1366302Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1366612Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1366981Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1367374Z [2022-11-23 01:29:32,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1367684Z [2022-11-23 01:29:32,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076
2022-11-23T01:32:31.1367933Z [2022-11-23 01:29:32,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1368261Z [2022-11-23 01:29:32,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1368538Z [2022-11-23 01:29:32,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1368842Z [2022-11-23 01:29:32,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1369185Z [2022-11-23 01:29:32,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1369576Z [2022-11-23 01:29:32,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1369988Z [2022-11-23 01:29:32,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1370305Z [2022-11-23 01:29:32,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077
2022-11-23T01:32:31.1370581Z [2022-11-23 01:29:32,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1370942Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1371251Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1371608Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1371995Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1372413Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1372862Z [2022-11-23 01:29:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1373179Z [2022-11-23 01:29:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078
2022-11-23T01:32:31.1373477Z [2022-11-23 01:29:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1373800Z [2022-11-23 01:29:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1374163Z [2022-11-23 01:29:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1374471Z [2022-11-23 01:29:32,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079
2022-11-23T01:32:31.1374792Z [2022-11-23 01:29:32,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1375142Z [2022-11-23 01:29:32,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1375536Z [2022-11-23 01:29:32,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1375849Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074
2022-11-23T01:32:31.1376198Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1376454Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1376838Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073>
2022-11-23T01:32:31.1377091Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1377333Z [2022-11-23 01:29:32,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1377590Z [2022-11-23 01:29:32,807] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1377839Z [2022-11-23 01:29:32,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1378033Z [2022-11-23 01:29:32,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1378178Z  __compiled_fn_439 <eval_with_key>.2720 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1378276Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1378370Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1378563Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1378982Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1379235Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1379428Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1379630Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1379771Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1379776Z 
2022-11-23T01:32:31.1380107Z [2022-11-23 01:29:32,816] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1380210Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1380311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1380405Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1380508Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1380597Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1380698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1380784Z              12 RETURN_VALUE
2022-11-23T01:32:31.1380789Z 
2022-11-23T01:32:31.1380856Z  
2022-11-23T01:32:31.1381180Z [2022-11-23 01:29:32,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1381304Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_439)
2022-11-23T01:32:31.1381402Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1381499Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1381576Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1381671Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1381767Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1381852Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1381951Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1382065Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1382177Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1382266Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1382349Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1382463Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1382558Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1382642Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1382751Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1382847Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1382922Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1383032Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1383127Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1383210Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1383320Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1383420Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1383503Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1383592Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1383674Z              50 RETURN_VALUE
2022-11-23T01:32:31.1383679Z 
2022-11-23T01:32:31.1383746Z  
2022-11-23T01:32:31.1383936Z [2022-11-23 01:29:32,817] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1384014Z  - 
2022-11-23T01:32:31.1384141Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1384215Z             {
2022-11-23T01:32:31.1384355Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1384554Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1384683Z                 'obj_weakref': None
2022-11-23T01:32:31.1384910Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1385044Z             }
2022-11-23T01:32:31.1385117Z             
2022-11-23T01:32:31.1385216Z  - 
2022-11-23T01:32:31.1385339Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1385409Z             {
2022-11-23T01:32:31.1385558Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1385672Z                 'code': None,
2022-11-23T01:32:31.1385888Z                 'obj_weakref': <weakref at 0x7f1fd97eeca0; to 'Tensor' at 0x7f2115ada200>
2022-11-23T01:32:31.1386144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1386215Z             }
2022-11-23T01:32:31.1386277Z             
2022-11-23T01:32:31.1386355Z  - 
2022-11-23T01:32:31.1386483Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1386553Z             {
2022-11-23T01:32:31.1386701Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1386815Z                 'code': None,
2022-11-23T01:32:31.1387028Z                 'obj_weakref': <weakref at 0x7f20682c68e0; to 'Tensor' at 0x7f20233b2250>
2022-11-23T01:32:31.1387275Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1387347Z             }
2022-11-23T01:32:31.1387416Z             
2022-11-23T01:32:31.1387492Z  - 
2022-11-23T01:32:31.1387629Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1387700Z             {
2022-11-23T01:32:31.1387844Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1388011Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1388137Z                 'obj_weakref': None
2022-11-23T01:32:31.1388371Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1388440Z             }
2022-11-23T01:32:31.1388509Z             
2022-11-23T01:32:31.1388584Z  - 
2022-11-23T01:32:31.1388713Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1388779Z             {
2022-11-23T01:32:31.1388923Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1389149Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1389274Z                 'obj_weakref': None
2022-11-23T01:32:31.1389500Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1389570Z             }
2022-11-23T01:32:31.1389638Z             
2022-11-23T01:32:31.1389707Z  - 
2022-11-23T01:32:31.1389845Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1389916Z             {
2022-11-23T01:32:31.1390043Z                 'guard_types': None,
2022-11-23T01:32:31.1390156Z                 'code': None,
2022-11-23T01:32:31.1390385Z                 'obj_weakref': None
2022-11-23T01:32:31.1390539Z                 'guarded_class': None
2022-11-23T01:32:31.1390602Z             }
2022-11-23T01:32:31.1390674Z             
2022-11-23T01:32:31.1390944Z [2022-11-23 01:29:32,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429
2022-11-23T01:32:31.1391371Z [2022-11-23 01:29:32,846] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1391745Z [2022-11-23 01:29:32,986] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cs/ccsvg6ueesmowmvfo4pejrzwnqry3tg4u55brwjwevji2xaennbs.py
2022-11-23T01:32:31.1392019Z [2022-11-23 01:29:32,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429
2022-11-23T01:32:31.1392264Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1392582Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1392849Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1393121Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1393406Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1393730Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1394081Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1394409Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1394792Z [2022-11-23 01:29:32,991] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073> 
2022-11-23T01:32:31.1394898Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1394998Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1395098Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1395196Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1395291Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1395465Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1395565Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1395571Z 
2022-11-23T01:32:31.1395671Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1395768Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1395866Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1395965Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1396109Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1396282Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1396386Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1396391Z 
2022-11-23T01:32:31.1396494Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1396591Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1396687Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1396783Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1396934Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1397094Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1397192Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1397197Z 
2022-11-23T01:32:31.1397291Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1397391Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1397481Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1397488Z 
2022-11-23T01:32:31.1397583Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1397677Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1397774Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1397780Z 
2022-11-23T01:32:31.1397869Z 1074          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1397953Z               56 RETURN_VALUE
2022-11-23T01:32:31.1398019Z  
2022-11-23T01:32:31.1398024Z 
2022-11-23T01:32:31.1398346Z [2022-11-23 01:29:32,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075
2022-11-23T01:32:31.1398570Z [2022-11-23 01:29:32,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1398905Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1399163Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1399478Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1399793Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1400162Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1400562Z [2022-11-23 01:29:32,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1400880Z [2022-11-23 01:29:32,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076
2022-11-23T01:32:31.1401132Z [2022-11-23 01:29:32,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1401462Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1401742Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1402048Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1402391Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1402790Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1403214Z [2022-11-23 01:29:33,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1403534Z [2022-11-23 01:29:33,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077
2022-11-23T01:32:31.1403809Z [2022-11-23 01:29:33,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1404161Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1404471Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1404806Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1405172Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1405592Z [2022-11-23 01:29:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1406065Z [2022-11-23 01:29:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1406385Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078
2022-11-23T01:32:31.1406707Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1407030Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1407399Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1407713Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079
2022-11-23T01:32:31.1408037Z [2022-11-23 01:29:33,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1408388Z [2022-11-23 01:29:33,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1408776Z [2022-11-23 01:29:33,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1409088Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074
2022-11-23T01:32:31.1409440Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1409695Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1410079Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f207c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073>
2022-11-23T01:32:31.1410331Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1410572Z [2022-11-23 01:29:33,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1410832Z [2022-11-23 01:29:33,020] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1411090Z [2022-11-23 01:29:33,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1411287Z [2022-11-23 01:29:33,029] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1411426Z  __compiled_fn_440 <eval_with_key>.2726 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1411523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1411620Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1411814Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1412011Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1412208Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1412411Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1412613Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1412747Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1412753Z 
2022-11-23T01:32:31.1413082Z [2022-11-23 01:29:33,030] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1413211Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1413311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1413440Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1413541Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1413635Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1413731Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1413808Z              12 RETURN_VALUE
2022-11-23T01:32:31.1413813Z 
2022-11-23T01:32:31.1413880Z  
2022-11-23T01:32:31.1414207Z [2022-11-23 01:29:33,030] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1414325Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_440)
2022-11-23T01:32:31.1414424Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1414526Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1414609Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1414700Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1414800Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1414882Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1414977Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1415091Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1415201Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1415298Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1415381Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1415484Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1415581Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1415664Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1415772Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1415868Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1415951Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1416061Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1416153Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1416235Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1416343Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1416439Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1416521Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1416616Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1416700Z              50 RETURN_VALUE
2022-11-23T01:32:31.1416705Z 
2022-11-23T01:32:31.1416765Z  
2022-11-23T01:32:31.1416956Z [2022-11-23 01:29:33,030] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1417034Z  - 
2022-11-23T01:32:31.1417158Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1417229Z             {
2022-11-23T01:32:31.1417375Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1417570Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1417690Z                 'obj_weakref': None
2022-11-23T01:32:31.1417917Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1417987Z             }
2022-11-23T01:32:31.1418059Z             
2022-11-23T01:32:31.1418136Z  - 
2022-11-23T01:32:31.1418267Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1418336Z             {
2022-11-23T01:32:31.1418477Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1418590Z                 'code': None,
2022-11-23T01:32:31.1418995Z                 'obj_weakref': <weakref at 0x7f1fd97eeca0; to 'Tensor' at 0x7f2115ada200>
2022-11-23T01:32:31.1419251Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1419324Z             }
2022-11-23T01:32:31.1419395Z             
2022-11-23T01:32:31.1419471Z  - 
2022-11-23T01:32:31.1419637Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1419708Z             {
2022-11-23T01:32:31.1419886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1420001Z                 'code': None,
2022-11-23T01:32:31.1420213Z                 'obj_weakref': <weakref at 0x7f2022f7bbf0; to 'Tensor' at 0x7f2022ead1c0>
2022-11-23T01:32:31.1420463Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1420532Z             }
2022-11-23T01:32:31.1420593Z             
2022-11-23T01:32:31.1420670Z  - 
2022-11-23T01:32:31.1420805Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1420873Z             {
2022-11-23T01:32:31.1421015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1421193Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1421319Z                 'obj_weakref': None
2022-11-23T01:32:31.1421550Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1421623Z             }
2022-11-23T01:32:31.1421693Z             
2022-11-23T01:32:31.1421771Z  - 
2022-11-23T01:32:31.1421900Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1421970Z             {
2022-11-23T01:32:31.1422115Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1422330Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1422455Z                 'obj_weakref': None
2022-11-23T01:32:31.1422685Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1422756Z             }
2022-11-23T01:32:31.1422825Z             
2022-11-23T01:32:31.1422901Z  - 
2022-11-23T01:32:31.1423039Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1423102Z             {
2022-11-23T01:32:31.1423233Z                 'guard_types': None,
2022-11-23T01:32:31.1423347Z                 'code': None,
2022-11-23T01:32:31.1423473Z                 'obj_weakref': None
2022-11-23T01:32:31.1423604Z                 'guarded_class': None
2022-11-23T01:32:31.1423673Z             }
2022-11-23T01:32:31.1423742Z             
2022-11-23T01:32:31.1423998Z [2022-11-23 01:29:33,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430
2022-11-23T01:32:31.1424415Z [2022-11-23 01:29:33,061] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1424784Z [2022-11-23 01:29:33,216] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xg/cxgymbogsaxv72frc5lb5hl2gatvowk2qcpmmkzvxvppz7q5m2lh.py
2022-11-23T01:32:31.1425051Z [2022-11-23 01:29:33,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430
2022-11-23T01:32:31.1425057Z 
2022-11-23T01:32:31.1425159Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1425237Z import torch
2022-11-23T01:32:31.1425317Z import random
2022-11-23T01:32:31.1425440Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1425562Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1425575Z 
2022-11-23T01:32:31.1425652Z aten = torch.ops.aten
2022-11-23T01:32:31.1425794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1425896Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1425901Z 
2022-11-23T01:32:31.1425977Z import triton
2022-11-23T01:32:31.1426072Z import triton.language as tl
2022-11-23T01:32:31.1426202Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1426348Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1426354Z 
2022-11-23T01:32:31.1426358Z 
2022-11-23T01:32:31.1426556Z triton_fused_div_3_div_div_1_div_2_div_40 = async_compile.triton('''
2022-11-23T01:32:31.1426625Z import triton
2022-11-23T01:32:31.1426782Z import triton.language as tl
2022-11-23T01:32:31.1426913Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1427040Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1427177Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1427307Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1427313Z 
2022-11-23T01:32:31.1427772Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1427848Z @triton.jit
2022-11-23T01:32:31.1428022Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1428098Z     xnumel = 64
2022-11-23T01:32:31.1428198Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1428335Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1428421Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1428493Z     x0 = xindex
2022-11-23T01:32:31.1428591Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1428683Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1428774Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1428857Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.1428958Z     tmp4 = tl.libdevice.floor(tmp3)
2022-11-23T01:32:31.1429057Z     tmp5 = tl.libdevice.trunc(tmp3)
2022-11-23T01:32:31.1429196Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1429333Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1429460Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1429591Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1429726Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1429816Z ''')
2022-11-23T01:32:31.1429824Z 
2022-11-23T01:32:31.1429829Z 
2022-11-23T01:32:31.1429923Z async_compile.wait(globals())
2022-11-23T01:32:31.1430001Z del async_compile
2022-11-23T01:32:31.1430006Z 
2022-11-23T01:32:31.1430083Z def call(args):
2022-11-23T01:32:31.1430164Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1430234Z     args.clear()
2022-11-23T01:32:31.1430519Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1430734Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1430929Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1431123Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1431315Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1431408Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1431592Z     triton_fused_div_3_div_div_1_div_2_div_40.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1431669Z     del arg0_1
2022-11-23T01:32:31.1431744Z     del arg1_1
2022-11-23T01:32:31.1431847Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1431853Z 
2022-11-23T01:32:31.1431858Z 
2022-11-23T01:32:31.1431941Z if __name__ == "__main__":
2022-11-23T01:32:31.1432063Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1432194Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1432392Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1432586Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1432713Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1432718Z 
2022-11-23T01:32:31.1432723Z 
2022-11-23T01:32:31.1432824Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1432900Z import torch
2022-11-23T01:32:31.1433009Z import random
2022-11-23T01:32:31.1433154Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1433282Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1433287Z 
2022-11-23T01:32:31.1433372Z aten = torch.ops.aten
2022-11-23T01:32:31.1433506Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1433604Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1433609Z 
2022-11-23T01:32:31.1433685Z import triton
2022-11-23T01:32:31.1433780Z import triton.language as tl
2022-11-23T01:32:31.1433909Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1434052Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1434058Z 
2022-11-23T01:32:31.1434062Z 
2022-11-23T01:32:31.1434259Z triton_fused_div_3_div_div_4_div_2_div_10 = async_compile.triton('''
2022-11-23T01:32:31.1434336Z import triton
2022-11-23T01:32:31.1434422Z import triton.language as tl
2022-11-23T01:32:31.1434541Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1434650Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1434788Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1434917Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1434922Z 
2022-11-23T01:32:31.1435365Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1435441Z @triton.jit
2022-11-23T01:32:31.1435625Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1435693Z     xnumel = 64
2022-11-23T01:32:31.1435795Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1435931Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1436017Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1436097Z     x0 = xindex
2022-11-23T01:32:31.1436196Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1436316Z     tmp2 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.1436400Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1436481Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.1436582Z     tmp4 = tl.libdevice.floor(tmp3)
2022-11-23T01:32:31.1436683Z     tmp5 = tl.libdevice.trunc(tmp3)
2022-11-23T01:32:31.1436818Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1436954Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1437087Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1437221Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1437344Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1437436Z ''')
2022-11-23T01:32:31.1437444Z 
2022-11-23T01:32:31.1437449Z 
2022-11-23T01:32:31.1437545Z async_compile.wait(globals())
2022-11-23T01:32:31.1437625Z del async_compile
2022-11-23T01:32:31.1437630Z 
2022-11-23T01:32:31.1437706Z def call(args):
2022-11-23T01:32:31.1437788Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1437864Z     args.clear()
2022-11-23T01:32:31.1438056Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1438255Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1438450Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1438643Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1438836Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1438930Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1439145Z     triton_fused_div_3_div_div_4_div_2_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1439251Z     del arg0_1
2022-11-23T01:32:31.1439318Z     del arg1_1
2022-11-23T01:32:31.1439421Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1439426Z 
2022-11-23T01:32:31.1439431Z 
2022-11-23T01:32:31.1439513Z if __name__ == "__main__":
2022-11-23T01:32:31.1439633Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1439769Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1439966Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1440163Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.1440287Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1440292Z 
2022-11-23T01:32:31.1440358Z ok (0.445s)
2022-11-23T01:32:31.1440663Z   test_div3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1440981Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1441206Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1441463Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1441744Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1442062Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1442406Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1442727Z [2022-11-23 01:29:33,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1443103Z [2022-11-23 01:29:33,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085> 
2022-11-23T01:32:31.1443207Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1443300Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1443401Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1443500Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1443602Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1443772Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1443874Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1443879Z 
2022-11-23T01:32:31.1443982Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1444074Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1444171Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1444270Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1444420Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1444584Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1444685Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1444690Z 
2022-11-23T01:32:31.1444789Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1444888Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1444977Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1445073Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1445221Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1445415Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1445535Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1445540Z 
2022-11-23T01:32:31.1445635Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1445731Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1445814Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1445827Z 
2022-11-23T01:32:31.1445915Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1446009Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1446102Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1446107Z 
2022-11-23T01:32:31.1446206Z 1086          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1446289Z               56 RETURN_VALUE
2022-11-23T01:32:31.1446356Z  
2022-11-23T01:32:31.1446361Z 
2022-11-23T01:32:31.1446678Z [2022-11-23 01:29:33,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087
2022-11-23T01:32:31.1446894Z [2022-11-23 01:29:33,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1447201Z [2022-11-23 01:29:33,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1447453Z [2022-11-23 01:29:33,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1447728Z [2022-11-23 01:29:33,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1448034Z [2022-11-23 01:29:33,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1448402Z [2022-11-23 01:29:33,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1448797Z [2022-11-23 01:29:33,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1449108Z [2022-11-23 01:29:33,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088
2022-11-23T01:32:31.1449355Z [2022-11-23 01:29:33,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1449681Z [2022-11-23 01:29:33,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1449954Z [2022-11-23 01:29:33,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1450256Z [2022-11-23 01:29:33,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1450584Z [2022-11-23 01:29:33,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1450970Z [2022-11-23 01:29:33,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1451383Z [2022-11-23 01:29:33,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1451694Z [2022-11-23 01:29:33,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089
2022-11-23T01:32:31.1451998Z [2022-11-23 01:29:33,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1452357Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1452683Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1453013Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1453376Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1453796Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1454246Z [2022-11-23 01:29:33,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1454563Z [2022-11-23 01:29:33,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090
2022-11-23T01:32:31.1454858Z [2022-11-23 01:29:33,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1455172Z [2022-11-23 01:29:33,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1455536Z [2022-11-23 01:29:33,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1455852Z [2022-11-23 01:29:33,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091
2022-11-23T01:32:31.1456174Z [2022-11-23 01:29:33,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1456521Z [2022-11-23 01:29:33,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1456913Z [2022-11-23 01:29:33,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1457225Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086
2022-11-23T01:32:31.1457578Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1457830Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1458207Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085>
2022-11-23T01:32:31.1458458Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1458689Z [2022-11-23 01:29:33,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1459135Z [2022-11-23 01:29:33,248] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1459436Z [2022-11-23 01:29:33,254] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1459667Z [2022-11-23 01:29:33,254] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1459813Z  __compiled_fn_441 <eval_with_key>.2732 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1459907Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1460000Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1460194Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1460381Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1460578Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1460777Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1460976Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1461118Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1461126Z 
2022-11-23T01:32:31.1461452Z [2022-11-23 01:29:33,255] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1461555Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1461653Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1461748Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1461842Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1461935Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1462030Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1462113Z              12 RETURN_VALUE
2022-11-23T01:32:31.1462119Z 
2022-11-23T01:32:31.1462185Z  
2022-11-23T01:32:31.1462504Z [2022-11-23 01:29:33,255] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1462625Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_441)
2022-11-23T01:32:31.1462718Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1462817Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1462900Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1462995Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1463090Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1463172Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1463267Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1463381Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1463483Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1463584Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1463667Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1463777Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1463873Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1463959Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1464072Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1464160Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1464243Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1464354Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1464453Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1464535Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1464643Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1464738Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1464813Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1464909Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1464991Z              50 RETURN_VALUE
2022-11-23T01:32:31.1464997Z 
2022-11-23T01:32:31.1465063Z  
2022-11-23T01:32:31.1465250Z [2022-11-23 01:29:33,256] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1465367Z  - 
2022-11-23T01:32:31.1465494Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1465579Z             {
2022-11-23T01:32:31.1465726Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1465923Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1466047Z                 'obj_weakref': None
2022-11-23T01:32:31.1466273Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1466345Z             }
2022-11-23T01:32:31.1466414Z             
2022-11-23T01:32:31.1466483Z  - 
2022-11-23T01:32:31.1466613Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1466682Z             {
2022-11-23T01:32:31.1466829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1466943Z                 'code': None,
2022-11-23T01:32:31.1467155Z                 'obj_weakref': <weakref at 0x7f2022f79580; to 'Tensor' at 0x7f20232a6ac0>
2022-11-23T01:32:31.1467409Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1467475Z             }
2022-11-23T01:32:31.1467545Z             
2022-11-23T01:32:31.1467621Z  - 
2022-11-23T01:32:31.1467750Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1467820Z             {
2022-11-23T01:32:31.1467969Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1468084Z                 'code': None,
2022-11-23T01:32:31.1468287Z                 'obj_weakref': <weakref at 0x7f2022f7a6b0; to 'Tensor' at 0x7f201e3d7510>
2022-11-23T01:32:31.1468539Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1468609Z             }
2022-11-23T01:32:31.1468678Z             
2022-11-23T01:32:31.1468756Z  - 
2022-11-23T01:32:31.1468893Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1468964Z             {
2022-11-23T01:32:31.1469101Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1469277Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1469405Z                 'obj_weakref': None
2022-11-23T01:32:31.1469637Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1469709Z             }
2022-11-23T01:32:31.1469778Z             
2022-11-23T01:32:31.1469853Z  - 
2022-11-23T01:32:31.1469974Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1470048Z             {
2022-11-23T01:32:31.1470191Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1470502Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1470629Z                 'obj_weakref': None
2022-11-23T01:32:31.1470855Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1470925Z             }
2022-11-23T01:32:31.1470988Z             
2022-11-23T01:32:31.1471067Z  - 
2022-11-23T01:32:31.1471210Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1471280Z             {
2022-11-23T01:32:31.1471407Z                 'guard_types': None,
2022-11-23T01:32:31.1471520Z                 'code': None,
2022-11-23T01:32:31.1471645Z                 'obj_weakref': None
2022-11-23T01:32:31.1471766Z                 'guarded_class': None
2022-11-23T01:32:31.1471838Z             }
2022-11-23T01:32:31.1471908Z             
2022-11-23T01:32:31.1472173Z [2022-11-23 01:29:33,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431
2022-11-23T01:32:31.1472596Z [2022-11-23 01:29:33,280] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1472999Z [2022-11-23 01:29:33,364] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5r/c5rgdic2qemypvdame25olgncwoej6ag2idwh4lyqzdve6lz7qf2.py
2022-11-23T01:32:31.1473292Z [2022-11-23 01:29:33,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431
2022-11-23T01:32:31.1473534Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1473850Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1474067Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1474325Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1474606Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1474930Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1475281Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1475605Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1475980Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085> 
2022-11-23T01:32:31.1476083Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1476184Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1476277Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1476373Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1476476Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1476651Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1476750Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1476756Z 
2022-11-23T01:32:31.1476856Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1476953Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1477051Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1477139Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1477290Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1477461Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1477560Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1477565Z 
2022-11-23T01:32:31.1477667Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1477765Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1477864Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1477962Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1478106Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1478273Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1478372Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1478377Z 
2022-11-23T01:32:31.1478471Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1478565Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1478655Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1478660Z 
2022-11-23T01:32:31.1478755Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1478843Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1478935Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1478941Z 
2022-11-23T01:32:31.1479037Z 1086          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1479152Z               56 RETURN_VALUE
2022-11-23T01:32:31.1479222Z  
2022-11-23T01:32:31.1479248Z 
2022-11-23T01:32:31.1479567Z [2022-11-23 01:29:33,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087
2022-11-23T01:32:31.1479788Z [2022-11-23 01:29:33,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1480091Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1480342Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1480609Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1480914Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1481284Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1481678Z [2022-11-23 01:29:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1481988Z [2022-11-23 01:29:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088
2022-11-23T01:32:31.1482235Z [2022-11-23 01:29:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1482565Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1482845Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1483157Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1483499Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1483891Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1484312Z [2022-11-23 01:29:33,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1484624Z [2022-11-23 01:29:33,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089
2022-11-23T01:32:31.1484900Z [2022-11-23 01:29:33,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1485256Z [2022-11-23 01:29:33,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1485560Z [2022-11-23 01:29:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1485891Z [2022-11-23 01:29:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1486282Z [2022-11-23 01:29:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1486745Z [2022-11-23 01:29:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1487192Z [2022-11-23 01:29:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1487509Z [2022-11-23 01:29:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090
2022-11-23T01:32:31.1487807Z [2022-11-23 01:29:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1488131Z [2022-11-23 01:29:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1488499Z [2022-11-23 01:29:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1488814Z [2022-11-23 01:29:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091
2022-11-23T01:32:31.1489127Z [2022-11-23 01:29:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1489472Z [2022-11-23 01:29:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1489868Z [2022-11-23 01:29:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1490183Z [2022-11-23 01:29:33,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086
2022-11-23T01:32:31.1490536Z [2022-11-23 01:29:33,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1490793Z [2022-11-23 01:29:33,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1491176Z [2022-11-23 01:29:33,394] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085>
2022-11-23T01:32:31.1491426Z [2022-11-23 01:29:33,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1491669Z [2022-11-23 01:29:33,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1491931Z [2022-11-23 01:29:33,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1492185Z [2022-11-23 01:29:33,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1492374Z [2022-11-23 01:29:33,402] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1492516Z  __compiled_fn_442 <eval_with_key>.2738 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1492615Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1492710Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1492902Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1493099Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1493293Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1493510Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1493733Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1493875Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1493880Z 
2022-11-23T01:32:31.1494209Z [2022-11-23 01:29:33,402] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1494311Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1494410Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1494506Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1494612Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1494705Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1494793Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1494877Z              12 RETURN_VALUE
2022-11-23T01:32:31.1494882Z 
2022-11-23T01:32:31.1494953Z  
2022-11-23T01:32:31.1495277Z [2022-11-23 01:29:33,403] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1495397Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_442)
2022-11-23T01:32:31.1495496Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1495593Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1495669Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1495769Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1495866Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1495950Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1496046Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1496159Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1496269Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1496361Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1500873Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1500997Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1501094Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1501179Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1501289Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1501386Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1501460Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1501570Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1501665Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1501748Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1501855Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1501950Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1502032Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1502131Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1502209Z              50 RETURN_VALUE
2022-11-23T01:32:31.1502214Z 
2022-11-23T01:32:31.1502281Z  
2022-11-23T01:32:31.1502494Z [2022-11-23 01:29:33,403] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1502571Z  - 
2022-11-23T01:32:31.1502697Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1502766Z             {
2022-11-23T01:32:31.1502915Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1503100Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1503226Z                 'obj_weakref': None
2022-11-23T01:32:31.1503452Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1503523Z             }
2022-11-23T01:32:31.1503593Z             
2022-11-23T01:32:31.1503669Z  - 
2022-11-23T01:32:31.1503804Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1503866Z             {
2022-11-23T01:32:31.1504100Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1504242Z                 'code': None,
2022-11-23T01:32:31.1504455Z                 'obj_weakref': <weakref at 0x7f2022f79580; to 'Tensor' at 0x7f20232a6ac0>
2022-11-23T01:32:31.1504707Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1504777Z             }
2022-11-23T01:32:31.1504846Z             
2022-11-23T01:32:31.1504915Z  - 
2022-11-23T01:32:31.1505042Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1505111Z             {
2022-11-23T01:32:31.1505260Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1505373Z                 'code': None,
2022-11-23T01:32:31.1505585Z                 'obj_weakref': <weakref at 0x7f2022f7a6b0; to 'Tensor' at 0x7f201e3d7510>
2022-11-23T01:32:31.1505837Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1505901Z             }
2022-11-23T01:32:31.1505971Z             
2022-11-23T01:32:31.1506048Z  - 
2022-11-23T01:32:31.1506183Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1506252Z             {
2022-11-23T01:32:31.1506390Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1506566Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1506684Z                 'obj_weakref': None
2022-11-23T01:32:31.1506919Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1506989Z             }
2022-11-23T01:32:31.1507058Z             
2022-11-23T01:32:31.1507136Z  - 
2022-11-23T01:32:31.1507261Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1507330Z             {
2022-11-23T01:32:31.1507464Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1507682Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1507807Z                 'obj_weakref': None
2022-11-23T01:32:31.1508034Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1508103Z             }
2022-11-23T01:32:31.1508173Z             
2022-11-23T01:32:31.1508251Z  - 
2022-11-23T01:32:31.1508380Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1508448Z             {
2022-11-23T01:32:31.1508573Z                 'guard_types': None,
2022-11-23T01:32:31.1508683Z                 'code': None,
2022-11-23T01:32:31.1508805Z                 'obj_weakref': None
2022-11-23T01:32:31.1508931Z                 'guarded_class': None
2022-11-23T01:32:31.1508993Z             }
2022-11-23T01:32:31.1509062Z             
2022-11-23T01:32:31.1509328Z [2022-11-23 01:29:33,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432
2022-11-23T01:32:31.1509743Z [2022-11-23 01:29:33,429] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1510110Z [2022-11-23 01:29:33,439] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6epanonex6wajwatscijqy3oemvxbbxlc35553tc5xwc4tu3idw.py
2022-11-23T01:32:31.1510475Z [2022-11-23 01:29:33,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432
2022-11-23T01:32:31.1510482Z 
2022-11-23T01:32:31.1510598Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1510688Z import torch
2022-11-23T01:32:31.1510777Z import random
2022-11-23T01:32:31.1510907Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1511055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1511061Z 
2022-11-23T01:32:31.1511143Z aten = torch.ops.aten
2022-11-23T01:32:31.1511286Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1511385Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1511430Z 
2022-11-23T01:32:31.1511508Z import triton
2022-11-23T01:32:31.1511637Z import triton.language as tl
2022-11-23T01:32:31.1511760Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1511906Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1511912Z 
2022-11-23T01:32:31.1511917Z 
2022-11-23T01:32:31.1512115Z triton_fused_div_4_div_2_div_1_div_div_30 = async_compile.triton('''
2022-11-23T01:32:31.1512192Z import triton
2022-11-23T01:32:31.1512288Z import triton.language as tl
2022-11-23T01:32:31.1512403Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1512510Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1512648Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1512770Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1512783Z 
2022-11-23T01:32:31.1513217Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1513295Z @triton.jit
2022-11-23T01:32:31.1513479Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1513556Z     xnumel = 64
2022-11-23T01:32:31.1513657Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1513791Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1513875Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1513940Z     x0 = xindex
2022-11-23T01:32:31.1514040Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1514138Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1514228Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1514318Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1514399Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1514661Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1514747Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1514880Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1515018Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1515153Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1515288Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1515419Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1515506Z ''')
2022-11-23T01:32:31.1515511Z 
2022-11-23T01:32:31.1515516Z 
2022-11-23T01:32:31.1515613Z async_compile.wait(globals())
2022-11-23T01:32:31.1515693Z del async_compile
2022-11-23T01:32:31.1515699Z 
2022-11-23T01:32:31.1515767Z def call(args):
2022-11-23T01:32:31.1515848Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1515927Z     args.clear()
2022-11-23T01:32:31.1516130Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1516323Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1516515Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1516709Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1516888Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1516982Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1517173Z     triton_fused_div_4_div_2_div_1_div_div_30.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1517252Z     del arg0_1
2022-11-23T01:32:31.1517325Z     del arg1_1
2022-11-23T01:32:31.1517430Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1517436Z 
2022-11-23T01:32:31.1517440Z 
2022-11-23T01:32:31.1517552Z if __name__ == "__main__":
2022-11-23T01:32:31.1517697Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1517820Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1518017Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1518212Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1518334Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1518339Z 
2022-11-23T01:32:31.1518344Z 
2022-11-23T01:32:31.1518443Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1518521Z import torch
2022-11-23T01:32:31.1518597Z import random
2022-11-23T01:32:31.1518719Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1518839Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1518844Z 
2022-11-23T01:32:31.1518927Z aten = torch.ops.aten
2022-11-23T01:32:31.1519071Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1519169Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1519178Z 
2022-11-23T01:32:31.1519254Z import triton
2022-11-23T01:32:31.1519348Z import triton.language as tl
2022-11-23T01:32:31.1519477Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1519613Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1519626Z 
2022-11-23T01:32:31.1519631Z 
2022-11-23T01:32:31.1519819Z triton_fused_div_4_div_3_div_1_div_div_20 = async_compile.triton('''
2022-11-23T01:32:31.1519897Z import triton
2022-11-23T01:32:31.1519991Z import triton.language as tl
2022-11-23T01:32:31.1520107Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1520212Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1520355Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1520483Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1520489Z 
2022-11-23T01:32:31.1520927Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1520998Z @triton.jit
2022-11-23T01:32:31.1521180Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1521254Z     xnumel = 64
2022-11-23T01:32:31.1521356Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1521490Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1521576Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1521646Z     x0 = xindex
2022-11-23T01:32:31.1521738Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1521835Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1521926Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1522016Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1522098Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1522357Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1522438Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1522568Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1522705Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1522838Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1522970Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1523098Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1523186Z ''')
2022-11-23T01:32:31.1523191Z 
2022-11-23T01:32:31.1523196Z 
2022-11-23T01:32:31.1523292Z async_compile.wait(globals())
2022-11-23T01:32:31.1523370Z del async_compile
2022-11-23T01:32:31.1523375Z 
2022-11-23T01:32:31.1523481Z def call(args):
2022-11-23T01:32:31.1523556Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1523658Z     args.clear()
2022-11-23T01:32:31.1523860Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1524053Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1524246Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1524444Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1524633Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1524718Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1524902Z     triton_fused_div_4_div_3_div_1_div_div_20.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1524979Z     del arg0_1
2022-11-23T01:32:31.1525053Z     del arg1_1
2022-11-23T01:32:31.1525157Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1525166Z 
2022-11-23T01:32:31.1525173Z 
2022-11-23T01:32:31.1525255Z if __name__ == "__main__":
2022-11-23T01:32:31.1525378Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1525508Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1525696Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1525889Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1526011Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1526017Z 
2022-11-23T01:32:31.1526089Z ok (0.222s)
2022-11-23T01:32:31.1526394Z   test_div4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1526709Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1526932Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1527192Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1527474Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1527786Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1528128Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1528457Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1528836Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098> 
2022-11-23T01:32:31.1528943Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1529042Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1529141Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1529237Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1529339Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1529499Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1529601Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1529607Z 
2022-11-23T01:32:31.1529707Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1529805Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1529902Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1530031Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1530198Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1530355Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1530454Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1530460Z 
2022-11-23T01:32:31.1530558Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1530655Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1530751Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1530847Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1530995Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1531157Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1531249Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1531254Z 
2022-11-23T01:32:31.1531348Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1531445Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1531538Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1531543Z 
2022-11-23T01:32:31.1531636Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1531730Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1531821Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1531826Z 
2022-11-23T01:32:31.1531923Z 1099          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1531997Z               56 RETURN_VALUE
2022-11-23T01:32:31.1532063Z  
2022-11-23T01:32:31.1532069Z 
2022-11-23T01:32:31.1532390Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100
2022-11-23T01:32:31.1532612Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1532917Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1533170Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1533447Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1533754Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1534124Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1534518Z [2022-11-23 01:29:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1534823Z [2022-11-23 01:29:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101
2022-11-23T01:32:31.1535077Z [2022-11-23 01:29:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1535402Z [2022-11-23 01:29:33,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1535677Z [2022-11-23 01:29:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1535979Z [2022-11-23 01:29:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1536314Z [2022-11-23 01:29:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1536741Z [2022-11-23 01:29:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1537176Z [2022-11-23 01:29:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1537487Z [2022-11-23 01:29:33,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102
2022-11-23T01:32:31.1537764Z [2022-11-23 01:29:33,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1538128Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1538433Z [2022-11-23 01:29:33,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1538759Z [2022-11-23 01:29:33,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1539429Z [2022-11-23 01:29:33,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1539853Z [2022-11-23 01:29:33,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1540306Z [2022-11-23 01:29:33,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1540629Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103
2022-11-23T01:32:31.1540925Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1541246Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1541612Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1541933Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104
2022-11-23T01:32:31.1542258Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1542607Z [2022-11-23 01:29:33,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1543004Z [2022-11-23 01:29:33,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1543315Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099
2022-11-23T01:32:31.1543658Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1543957Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1544368Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098>
2022-11-23T01:32:31.1544621Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1544861Z [2022-11-23 01:29:33,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1545121Z [2022-11-23 01:29:33,471] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1545377Z [2022-11-23 01:29:33,477] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1545572Z [2022-11-23 01:29:33,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1545718Z  __compiled_fn_443 <eval_with_key>.2744 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1545808Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1545905Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1546099Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1546295Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1546490Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1546686Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1546887Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1547028Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1547034Z 
2022-11-23T01:32:31.1547365Z [2022-11-23 01:29:33,477] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1547463Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1547563Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1547657Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1547759Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1547851Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1547945Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1548029Z              12 RETURN_VALUE
2022-11-23T01:32:31.1548034Z 
2022-11-23T01:32:31.1548093Z  
2022-11-23T01:32:31.1548413Z [2022-11-23 01:29:33,477] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1548532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_443)
2022-11-23T01:32:31.1548630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1548727Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1548811Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1548908Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1549006Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1549081Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1549176Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1549289Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1549401Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1549498Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1549580Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1549689Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1549779Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1549862Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1549968Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1550064Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1550177Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1550357Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1550496Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1550585Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1550694Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1550789Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1550871Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1550969Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1551052Z              50 RETURN_VALUE
2022-11-23T01:32:31.1551057Z 
2022-11-23T01:32:31.1551122Z  
2022-11-23T01:32:31.1551307Z [2022-11-23 01:29:33,478] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1551389Z  - 
2022-11-23T01:32:31.1551513Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1551584Z             {
2022-11-23T01:32:31.1551728Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1551923Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1552050Z                 'obj_weakref': None
2022-11-23T01:32:31.1552268Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1552339Z             }
2022-11-23T01:32:31.1552407Z             
2022-11-23T01:32:31.1552485Z  - 
2022-11-23T01:32:31.1552614Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1552684Z             {
2022-11-23T01:32:31.1552831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1552935Z                 'code': None,
2022-11-23T01:32:31.1553148Z                 'obj_weakref': <weakref at 0x7f201e323650; to 'Tensor' at 0x7f207282a980>
2022-11-23T01:32:31.1553398Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1553467Z             }
2022-11-23T01:32:31.1553536Z             
2022-11-23T01:32:31.1553613Z  - 
2022-11-23T01:32:31.1553742Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1553807Z             {
2022-11-23T01:32:31.1553959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1554071Z                 'code': None,
2022-11-23T01:32:31.1554283Z                 'obj_weakref': <weakref at 0x7f2000fe53a0; to 'Tensor' at 0x7f207282ab10>
2022-11-23T01:32:31.1554533Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1554603Z             }
2022-11-23T01:32:31.1554672Z             
2022-11-23T01:32:31.1554740Z  - 
2022-11-23T01:32:31.1554876Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1554947Z             {
2022-11-23T01:32:31.1555089Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1555264Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1555389Z                 'obj_weakref': None
2022-11-23T01:32:31.1555622Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1555686Z             }
2022-11-23T01:32:31.1555755Z             
2022-11-23T01:32:31.1555830Z  - 
2022-11-23T01:32:31.1555957Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1556026Z             {
2022-11-23T01:32:31.1556169Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1556389Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1556506Z                 'obj_weakref': None
2022-11-23T01:32:31.1556732Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1556801Z             }
2022-11-23T01:32:31.1556868Z             
2022-11-23T01:32:31.1556944Z  - 
2022-11-23T01:32:31.1557084Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1557152Z             {
2022-11-23T01:32:31.1557271Z                 'guard_types': None,
2022-11-23T01:32:31.1557416Z                 'code': None,
2022-11-23T01:32:31.1557541Z                 'obj_weakref': None
2022-11-23T01:32:31.1557702Z                 'guarded_class': None
2022-11-23T01:32:31.1557772Z             }
2022-11-23T01:32:31.1557841Z             
2022-11-23T01:32:31.1558109Z [2022-11-23 01:29:33,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433
2022-11-23T01:32:31.1558518Z [2022-11-23 01:29:33,503] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1558886Z [2022-11-23 01:29:33,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ou/cougf5by3aycmroveqwcnbefzyc5zosj3hape2swxf3bjmx7jga7.py
2022-11-23T01:32:31.1559153Z [2022-11-23 01:29:33,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433
2022-11-23T01:32:31.1559395Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1559712Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1559935Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1560194Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1560475Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1560798Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1561148Z [2022-11-23 01:29:33,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1561478Z [2022-11-23 01:29:33,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1561853Z [2022-11-23 01:29:33,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098> 
2022-11-23T01:32:31.1561957Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1562056Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1562156Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1562253Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1562355Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1562525Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1562625Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1562631Z 
2022-11-23T01:32:31.1562726Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1562828Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1562925Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1563020Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1563172Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1563340Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1563440Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1563445Z 
2022-11-23T01:32:31.1563537Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1563634Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1563729Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1563823Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1563972Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1564172Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1564295Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1564300Z 
2022-11-23T01:32:31.1564395Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1564483Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1564573Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1564578Z 
2022-11-23T01:32:31.1564672Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1564767Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1564859Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1564864Z 
2022-11-23T01:32:31.1564964Z 1099          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1565046Z               56 RETURN_VALUE
2022-11-23T01:32:31.1565113Z  
2022-11-23T01:32:31.1565118Z 
2022-11-23T01:32:31.1565426Z [2022-11-23 01:29:33,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100
2022-11-23T01:32:31.1565652Z [2022-11-23 01:29:33,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1565961Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1566218Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1566497Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1566809Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1567185Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1567588Z [2022-11-23 01:29:33,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1567906Z [2022-11-23 01:29:33,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101
2022-11-23T01:32:31.1568157Z [2022-11-23 01:29:33,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1568487Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1568759Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1569066Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1569407Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1569804Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1570225Z [2022-11-23 01:29:33,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1570543Z [2022-11-23 01:29:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102
2022-11-23T01:32:31.1570819Z [2022-11-23 01:29:33,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1571202Z [2022-11-23 01:29:33,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1571525Z [2022-11-23 01:29:33,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1571865Z [2022-11-23 01:29:33,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1572232Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1572654Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1573102Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1573414Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103
2022-11-23T01:32:31.1573711Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1574036Z [2022-11-23 01:29:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1574405Z [2022-11-23 01:29:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1574720Z [2022-11-23 01:29:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104
2022-11-23T01:32:31.1575045Z [2022-11-23 01:29:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1575392Z [2022-11-23 01:29:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1575787Z [2022-11-23 01:29:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1576098Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099
2022-11-23T01:32:31.1576453Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1576710Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1577092Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098>
2022-11-23T01:32:31.1577338Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1577579Z [2022-11-23 01:29:33,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1577840Z [2022-11-23 01:29:33,543] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1578122Z [2022-11-23 01:29:33,548] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1578338Z [2022-11-23 01:29:33,549] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1578481Z  __compiled_fn_444 <eval_with_key>.2750 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1578577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1578670Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1579051Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1579256Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1579453Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1579650Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1579851Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1579990Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1579999Z 
2022-11-23T01:32:31.1580333Z [2022-11-23 01:29:33,549] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1580437Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1580535Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1580623Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1580723Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1580818Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1580913Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1580995Z              12 RETURN_VALUE
2022-11-23T01:32:31.1581000Z 
2022-11-23T01:32:31.1581065Z  
2022-11-23T01:32:31.1581387Z [2022-11-23 01:29:33,549] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1581500Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_444)
2022-11-23T01:32:31.1581600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1581698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1581781Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1581876Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1581972Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1582054Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1582141Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1582256Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1582365Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1582461Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1582543Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1582653Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1582746Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1582824Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1582935Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1583031Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1583114Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1583224Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1583318Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1583402Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1583511Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1583599Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1583681Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1583776Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1583857Z              50 RETURN_VALUE
2022-11-23T01:32:31.1583863Z 
2022-11-23T01:32:31.1583929Z  
2022-11-23T01:32:31.1584118Z [2022-11-23 01:29:33,550] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1584240Z  - 
2022-11-23T01:32:31.1584360Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1584456Z             {
2022-11-23T01:32:31.1584606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1584797Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1584921Z                 'obj_weakref': None
2022-11-23T01:32:31.1585147Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1585217Z             }
2022-11-23T01:32:31.1585279Z             
2022-11-23T01:32:31.1585356Z  - 
2022-11-23T01:32:31.1585485Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1585555Z             {
2022-11-23T01:32:31.1585702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1585815Z                 'code': None,
2022-11-23T01:32:31.1586027Z                 'obj_weakref': <weakref at 0x7f201e323650; to 'Tensor' at 0x7f207282a980>
2022-11-23T01:32:31.1586275Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1586348Z             }
2022-11-23T01:32:31.1586417Z             
2022-11-23T01:32:31.1586492Z  - 
2022-11-23T01:32:31.1586622Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1586689Z             {
2022-11-23T01:32:31.1586836Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1586940Z                 'code': None,
2022-11-23T01:32:31.1587153Z                 'obj_weakref': <weakref at 0x7f2000fe53a0; to 'Tensor' at 0x7f207282ab10>
2022-11-23T01:32:31.1587402Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1587472Z             }
2022-11-23T01:32:31.1587543Z             
2022-11-23T01:32:31.1587619Z  - 
2022-11-23T01:32:31.1587753Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1587815Z             {
2022-11-23T01:32:31.1587960Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1588139Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1588268Z                 'obj_weakref': None
2022-11-23T01:32:31.1588503Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1588574Z             }
2022-11-23T01:32:31.1588642Z             
2022-11-23T01:32:31.1588711Z  - 
2022-11-23T01:32:31.1588837Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1588905Z             {
2022-11-23T01:32:31.1589048Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1589272Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1589398Z                 'obj_weakref': None
2022-11-23T01:32:31.1589627Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1589688Z             }
2022-11-23T01:32:31.1589760Z             
2022-11-23T01:32:31.1589837Z  - 
2022-11-23T01:32:31.1589974Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1590046Z             {
2022-11-23T01:32:31.1590173Z                 'guard_types': None,
2022-11-23T01:32:31.1590361Z                 'code': None,
2022-11-23T01:32:31.1590496Z                 'obj_weakref': None
2022-11-23T01:32:31.1590643Z                 'guarded_class': None
2022-11-23T01:32:31.1590731Z             }
2022-11-23T01:32:31.1590807Z             
2022-11-23T01:32:31.1591072Z [2022-11-23 01:29:33,558] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434
2022-11-23T01:32:31.1591492Z [2022-11-23 01:29:33,575] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1591904Z [2022-11-23 01:29:33,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3u/c3ujzx7uboema5i742hztgsanlfn646mjlqff6mfazdytryzzqqn.py
2022-11-23T01:32:31.1592176Z [2022-11-23 01:29:33,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434
2022-11-23T01:32:31.1592203Z 
2022-11-23T01:32:31.1592298Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1592373Z import torch
2022-11-23T01:32:31.1592447Z import random
2022-11-23T01:32:31.1592570Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1592698Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1592703Z 
2022-11-23T01:32:31.1592787Z aten = torch.ops.aten
2022-11-23T01:32:31.1592929Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1593021Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1593033Z 
2022-11-23T01:32:31.1593102Z import triton
2022-11-23T01:32:31.1593195Z import triton.language as tl
2022-11-23T01:32:31.1593323Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1593469Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1593477Z 
2022-11-23T01:32:31.1593481Z 
2022-11-23T01:32:31.1593681Z triton_fused_div_4_div_2_div_3_div_div_10 = async_compile.triton('''
2022-11-23T01:32:31.1593758Z import triton
2022-11-23T01:32:31.1593851Z import triton.language as tl
2022-11-23T01:32:31.1593960Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1594064Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1594201Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1594330Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1594335Z 
2022-11-23T01:32:31.1594781Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1594855Z @triton.jit
2022-11-23T01:32:31.1595042Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1595121Z     xnumel = 64
2022-11-23T01:32:31.1595220Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1595347Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1595431Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1595504Z     x0 = xindex
2022-11-23T01:32:31.1595604Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1595703Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1595793Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1595880Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1595953Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1596214Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1596300Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1596441Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1596580Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1596717Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1596851Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1596975Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1597062Z ''')
2022-11-23T01:32:31.1597068Z 
2022-11-23T01:32:31.1597072Z 
2022-11-23T01:32:31.1597168Z async_compile.wait(globals())
2022-11-23T01:32:31.1597247Z del async_compile
2022-11-23T01:32:31.1597252Z 
2022-11-23T01:32:31.1597327Z def call(args):
2022-11-23T01:32:31.1597409Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1597485Z     args.clear()
2022-11-23T01:32:31.1597689Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1597878Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1598130Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1598352Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1598542Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1598634Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1598823Z     triton_fused_div_4_div_2_div_3_div_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1598898Z     del arg0_1
2022-11-23T01:32:31.1598972Z     del arg1_1
2022-11-23T01:32:31.1599067Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1599073Z 
2022-11-23T01:32:31.1599078Z 
2022-11-23T01:32:31.1599160Z if __name__ == "__main__":
2022-11-23T01:32:31.1599282Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1599414Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1599614Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1599813Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1599935Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1599941Z 
2022-11-23T01:32:31.1599945Z 
2022-11-23T01:32:31.1600046Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1600114Z import torch
2022-11-23T01:32:31.1600190Z import random
2022-11-23T01:32:31.1600312Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1600438Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1600444Z 
2022-11-23T01:32:31.1600526Z aten = torch.ops.aten
2022-11-23T01:32:31.1600666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1600764Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1600769Z 
2022-11-23T01:32:31.1600837Z import triton
2022-11-23T01:32:31.1600930Z import triton.language as tl
2022-11-23T01:32:31.1601061Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1601204Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1601213Z 
2022-11-23T01:32:31.1601217Z 
2022-11-23T01:32:31.1601414Z triton_fused_div_2_div_4_div_1_div_div_30 = async_compile.triton('''
2022-11-23T01:32:31.1601489Z import triton
2022-11-23T01:32:31.1601583Z import triton.language as tl
2022-11-23T01:32:31.1601699Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1601797Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1601935Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1602063Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1602068Z 
2022-11-23T01:32:31.1602504Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1602581Z @triton.jit
2022-11-23T01:32:31.1602767Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1602842Z     xnumel = 64
2022-11-23T01:32:31.1602942Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1603069Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1603154Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1603228Z     x0 = xindex
2022-11-23T01:32:31.1603327Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1603425Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1603515Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1603603Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1603675Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1603929Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1604009Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1604179Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1604345Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1604479Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1604612Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1604744Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1604824Z ''')
2022-11-23T01:32:31.1604830Z 
2022-11-23T01:32:31.1604842Z 
2022-11-23T01:32:31.1604931Z async_compile.wait(globals())
2022-11-23T01:32:31.1605009Z del async_compile
2022-11-23T01:32:31.1605014Z 
2022-11-23T01:32:31.1605091Z def call(args):
2022-11-23T01:32:31.1605174Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1605250Z     args.clear()
2022-11-23T01:32:31.1605450Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1605646Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1605833Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1606031Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1606220Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1606314Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1606497Z     triton_fused_div_2_div_4_div_1_div_div_30.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1606573Z     del arg0_1
2022-11-23T01:32:31.1606646Z     del arg1_1
2022-11-23T01:32:31.1606742Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1606754Z 
2022-11-23T01:32:31.1606759Z 
2022-11-23T01:32:31.1606833Z if __name__ == "__main__":
2022-11-23T01:32:31.1606956Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1607089Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1607285Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1607480Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1607602Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1607607Z 
2022-11-23T01:32:31.1607679Z ok (0.146s)
2022-11-23T01:32:31.1607982Z   test_div5_cuda (__main__.CudaTests) ... [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1608290Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1608511Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1608772Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1609053Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1609376Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1609717Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1610037Z [2022-11-23 01:29:33,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1610410Z [2022-11-23 01:29:33,591] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113> 
2022-11-23T01:32:31.1610513Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1610645Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1610756Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1610852Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1610955Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1611123Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1611224Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1611229Z 
2022-11-23T01:32:31.1611330Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1611427Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1611516Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1611613Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1611761Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1611924Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1612026Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1612031Z 
2022-11-23T01:32:31.1612132Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1612230Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1612325Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1612413Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1612560Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1612727Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1612826Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1612831Z 
2022-11-23T01:32:31.1612926Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1613020Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1613112Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1613118Z 
2022-11-23T01:32:31.1613212Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1613301Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1613392Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1613400Z 
2022-11-23T01:32:31.1613497Z 1114          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1613578Z               56 RETURN_VALUE
2022-11-23T01:32:31.1613645Z  
2022-11-23T01:32:31.1613650Z 
2022-11-23T01:32:31.1613966Z [2022-11-23 01:29:33,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115
2022-11-23T01:32:31.1614188Z [2022-11-23 01:29:33,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1614493Z [2022-11-23 01:29:33,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1614737Z [2022-11-23 01:29:33,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1615013Z [2022-11-23 01:29:33,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1615333Z [2022-11-23 01:29:33,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1615715Z [2022-11-23 01:29:33,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1616117Z [2022-11-23 01:29:33,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1616432Z [2022-11-23 01:29:33,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116
2022-11-23T01:32:31.1616679Z [2022-11-23 01:29:33,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1617034Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1617325Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1617625Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1617969Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1618367Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1618969Z [2022-11-23 01:29:33,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1619287Z [2022-11-23 01:29:33,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117
2022-11-23T01:32:31.1619559Z [2022-11-23 01:29:33,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1619921Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1620227Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1620558Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1620936Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1621366Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1621821Z [2022-11-23 01:29:33,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1622136Z [2022-11-23 01:29:33,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118
2022-11-23T01:32:31.1622436Z [2022-11-23 01:29:33,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1622761Z [2022-11-23 01:29:33,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1623135Z [2022-11-23 01:29:33,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1623438Z [2022-11-23 01:29:33,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119
2022-11-23T01:32:31.1623761Z [2022-11-23 01:29:33,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1624159Z [2022-11-23 01:29:33,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1624590Z [2022-11-23 01:29:33,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1624908Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114
2022-11-23T01:32:31.1625259Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1625509Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1625894Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113>
2022-11-23T01:32:31.1626140Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1626378Z [2022-11-23 01:29:33,615] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1626632Z [2022-11-23 01:29:33,616] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1626880Z [2022-11-23 01:29:33,622] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1627072Z [2022-11-23 01:29:33,622] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1627215Z  __compiled_fn_445 <eval_with_key>.2756 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1627312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1627498Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T01:32:31.1627691Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1627883Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1628074Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T01:32:31.1628260Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T01:32:31.1628400Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1628406Z 
2022-11-23T01:32:31.1628730Z [2022-11-23 01:29:33,622] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1628831Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1628931Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1629026Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1629126Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1629221Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1629311Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1629395Z              12 RETURN_VALUE
2022-11-23T01:32:31.1629400Z 
2022-11-23T01:32:31.1629466Z  
2022-11-23T01:32:31.1629785Z [2022-11-23 01:29:33,623] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1629907Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_445)
2022-11-23T01:32:31.1630003Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1630100Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1630186Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1630337Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.1630464Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1630591Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1630741Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1630845Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1630956Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1631050Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1631126Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1631232Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1631328Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1631410Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1631519Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1631614Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1631696Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1631795Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1631890Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1631972Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1632070Z              42 BUILD_TUPLE              5
2022-11-23T01:32:31.1632155Z              44 RETURN_VALUE
2022-11-23T01:32:31.1632160Z 
2022-11-23T01:32:31.1632229Z  
2022-11-23T01:32:31.1632420Z [2022-11-23 01:29:33,623] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1632489Z  - 
2022-11-23T01:32:31.1632613Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1632683Z             {
2022-11-23T01:32:31.1632827Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1633022Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1633146Z                 'obj_weakref': None
2022-11-23T01:32:31.1633371Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1633441Z             }
2022-11-23T01:32:31.1633503Z             
2022-11-23T01:32:31.1633578Z  - 
2022-11-23T01:32:31.1633708Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1633777Z             {
2022-11-23T01:32:31.1633928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1634044Z                 'code': None,
2022-11-23T01:32:31.1634251Z                 'obj_weakref': <weakref at 0x7f2022ebbba0; to 'Tensor' at 0x7f20682adf80>
2022-11-23T01:32:31.1634500Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1634570Z             }
2022-11-23T01:32:31.1634639Z             
2022-11-23T01:32:31.1634716Z  - 
2022-11-23T01:32:31.1634849Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:31.1634918Z             {
2022-11-23T01:32:31.1635058Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1635248Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 16'],
2022-11-23T01:32:31.1635370Z                 'obj_weakref': None
2022-11-23T01:32:31.1635589Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1635661Z             }
2022-11-23T01:32:31.1635730Z             
2022-11-23T01:32:31.1635807Z  - 
2022-11-23T01:32:31.1635935Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1636005Z             {
2022-11-23T01:32:31.1636144Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1636319Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1636447Z                 'obj_weakref': None
2022-11-23T01:32:31.1636677Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1636747Z             }
2022-11-23T01:32:31.1636809Z             
2022-11-23T01:32:31.1636884Z  - 
2022-11-23T01:32:31.1637010Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1637079Z             {
2022-11-23T01:32:31.1637221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1637438Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1637599Z                 'obj_weakref': None
2022-11-23T01:32:31.1637832Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1637902Z             }
2022-11-23T01:32:31.1637971Z             
2022-11-23T01:32:31.1638047Z  - 
2022-11-23T01:32:31.1638183Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1638253Z             {
2022-11-23T01:32:31.1638378Z                 'guard_types': None,
2022-11-23T01:32:31.1638484Z                 'code': None,
2022-11-23T01:32:31.1638605Z                 'obj_weakref': None
2022-11-23T01:32:31.1638730Z                 'guarded_class': None
2022-11-23T01:32:31.1638798Z             }
2022-11-23T01:32:31.1638866Z             
2022-11-23T01:32:31.1639130Z [2022-11-23 01:29:33,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435
2022-11-23T01:32:31.1639548Z [2022-11-23 01:29:33,645] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1639911Z [2022-11-23 01:29:33,718] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3e/c3edkwjba3ql4uifldy3n7s3gg6bk5llfcx3hewitkghohwbh76e.py
2022-11-23T01:32:31.1640171Z [2022-11-23 01:29:33,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435
2022-11-23T01:32:31.1640409Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1640723Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1640944Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1641196Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1641478Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1641803Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1642152Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1642479Z [2022-11-23 01:29:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1642856Z [2022-11-23 01:29:33,723] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113> 
2022-11-23T01:32:31.1642952Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1643055Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1643157Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1643253Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1643356Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1643527Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1643626Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1643632Z 
2022-11-23T01:32:31.1643732Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1643821Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1643918Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1644013Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1644163Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1644332Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1644467Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1644473Z 
2022-11-23T01:32:31.1644595Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1644692Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1644780Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1644876Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1645026Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1645193Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1645294Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1645299Z 
2022-11-23T01:32:31.1645393Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1645488Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1645571Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1645585Z 
2022-11-23T01:32:31.1645673Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1645770Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1645862Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1645870Z 
2022-11-23T01:32:31.1645969Z 1114          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1646052Z               56 RETURN_VALUE
2022-11-23T01:32:31.1646118Z  
2022-11-23T01:32:31.1646123Z 
2022-11-23T01:32:31.1646439Z [2022-11-23 01:29:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115
2022-11-23T01:32:31.1646652Z [2022-11-23 01:29:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1646952Z [2022-11-23 01:29:33,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1647208Z [2022-11-23 01:29:33,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1647492Z [2022-11-23 01:29:33,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1647814Z [2022-11-23 01:29:33,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1648197Z [2022-11-23 01:29:33,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1648597Z [2022-11-23 01:29:33,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1648904Z [2022-11-23 01:29:33,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116
2022-11-23T01:32:31.1649152Z [2022-11-23 01:29:33,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1649489Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1649768Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1650064Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1650416Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1650819Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1651274Z [2022-11-23 01:29:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1651620Z [2022-11-23 01:29:33,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117
2022-11-23T01:32:31.1651895Z [2022-11-23 01:29:33,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1652252Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1652558Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1652891Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1653268Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1653699Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1654156Z [2022-11-23 01:29:33,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1654471Z [2022-11-23 01:29:33,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118
2022-11-23T01:32:31.1654769Z [2022-11-23 01:29:33,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1655084Z [2022-11-23 01:29:33,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1655462Z [2022-11-23 01:29:33,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1655775Z [2022-11-23 01:29:33,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119
2022-11-23T01:32:31.1656097Z [2022-11-23 01:29:33,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1656445Z [2022-11-23 01:29:33,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1656851Z [2022-11-23 01:29:33,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1657169Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114
2022-11-23T01:32:31.1657517Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1657765Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1658173Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113>
2022-11-23T01:32:31.1658443Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1658683Z [2022-11-23 01:29:33,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1659139Z [2022-11-23 01:29:33,748] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1659399Z [2022-11-23 01:29:33,754] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1659595Z [2022-11-23 01:29:33,754] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1659738Z  __compiled_fn_446 <eval_with_key>.2762 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1659836Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1660028Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T01:32:31.1660228Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1660422Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1660611Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T01:32:31.1660808Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T01:32:31.1660951Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1660956Z 
2022-11-23T01:32:31.1661286Z [2022-11-23 01:29:33,754] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1661388Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1661486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1661586Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1661689Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1661777Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1661876Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1661958Z              12 RETURN_VALUE
2022-11-23T01:32:31.1661964Z 
2022-11-23T01:32:31.1662031Z  
2022-11-23T01:32:31.1662354Z [2022-11-23 01:29:33,754] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1662471Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_446)
2022-11-23T01:32:31.1662567Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1662663Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1662739Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1662836Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.1662946Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1663056Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1663156Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1663240Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1663349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1663437Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1663519Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1663627Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1663722Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1663803Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1663910Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1664003Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1664078Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1664186Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1664280Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1664361Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1664508Z              42 BUILD_TUPLE              5
2022-11-23T01:32:31.1664621Z              44 RETURN_VALUE
2022-11-23T01:32:31.1664627Z 
2022-11-23T01:32:31.1664693Z  
2022-11-23T01:32:31.1664875Z [2022-11-23 01:29:33,755] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1664951Z  - 
2022-11-23T01:32:31.1665076Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1665146Z             {
2022-11-23T01:32:31.1665291Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1665481Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1665605Z                 'obj_weakref': None
2022-11-23T01:32:31.1665823Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1665893Z             }
2022-11-23T01:32:31.1665962Z             
2022-11-23T01:32:31.1666038Z  - 
2022-11-23T01:32:31.1666167Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1666235Z             {
2022-11-23T01:32:31.1666387Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1666496Z                 'code': None,
2022-11-23T01:32:31.1666710Z                 'obj_weakref': <weakref at 0x7f2022ebbba0; to 'Tensor' at 0x7f20682adf80>
2022-11-23T01:32:31.1666962Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1667031Z             }
2022-11-23T01:32:31.1667101Z             
2022-11-23T01:32:31.1667177Z  - 
2022-11-23T01:32:31.1667312Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:31.1667374Z             {
2022-11-23T01:32:31.1667523Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1667720Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 16'],
2022-11-23T01:32:31.1667847Z                 'obj_weakref': None
2022-11-23T01:32:31.1668069Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1668143Z             }
2022-11-23T01:32:31.1668212Z             
2022-11-23T01:32:31.1668283Z  - 
2022-11-23T01:32:31.1668417Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1668487Z             {
2022-11-23T01:32:31.1668627Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1668802Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1668925Z                 'obj_weakref': None
2022-11-23T01:32:31.1669155Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1669217Z             }
2022-11-23T01:32:31.1669286Z             
2022-11-23T01:32:31.1669361Z  - 
2022-11-23T01:32:31.1669485Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1669554Z             {
2022-11-23T01:32:31.1669695Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1669912Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1670030Z                 'obj_weakref': None
2022-11-23T01:32:31.1670319Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1670403Z             }
2022-11-23T01:32:31.1670473Z             
2022-11-23T01:32:31.1670550Z  - 
2022-11-23T01:32:31.1670687Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1670758Z             {
2022-11-23T01:32:31.1670875Z                 'guard_types': None,
2022-11-23T01:32:31.1670988Z                 'code': None,
2022-11-23T01:32:31.1671108Z                 'obj_weakref': None
2022-11-23T01:32:31.1671234Z                 'guarded_class': None
2022-11-23T01:32:31.1671304Z             }
2022-11-23T01:32:31.1671371Z             
2022-11-23T01:32:31.1671636Z [2022-11-23 01:29:33,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436
2022-11-23T01:32:31.1672079Z [2022-11-23 01:29:33,778] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1672464Z [2022-11-23 01:29:33,786] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7z/c7zekvcmi5w6yvsomcmyve5jrakoz6vo2u7tvhtidej7pc3gb7kd.py
2022-11-23T01:32:31.1672731Z [2022-11-23 01:29:33,787] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436
2022-11-23T01:32:31.1672737Z 
2022-11-23T01:32:31.1672839Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1672914Z import torch
2022-11-23T01:32:31.1672990Z import random
2022-11-23T01:32:31.1673110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1673241Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1673246Z 
2022-11-23T01:32:31.1673329Z aten = torch.ops.aten
2022-11-23T01:32:31.1673464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1673562Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1673569Z 
2022-11-23T01:32:31.1673645Z import triton
2022-11-23T01:32:31.1673742Z import triton.language as tl
2022-11-23T01:32:31.1673870Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1674014Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1674020Z 
2022-11-23T01:32:31.1674024Z 
2022-11-23T01:32:31.1674220Z triton_fused_div_1_div_div_2_div_3_div_40 = async_compile.triton('''
2022-11-23T01:32:31.1674296Z import triton
2022-11-23T01:32:31.1674383Z import triton.language as tl
2022-11-23T01:32:31.1674500Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1674603Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1674740Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1674868Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1674873Z 
2022-11-23T01:32:31.1675306Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*i64', 3: '*i64', 4: '*fp32', 5: '*i64', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.1675386Z @triton.jit
2022-11-23T01:32:31.1675561Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1675629Z     xnumel = 64
2022-11-23T01:32:31.1675730Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1675864Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1675950Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1676023Z     x0 = xindex
2022-11-23T01:32:31.1676124Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1676215Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1676280Z     tmp2 = 16
2022-11-23T01:32:31.1676359Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.1676621Z     tmp4 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1676704Z     tmp5 = tmp0 // tmp2
2022-11-23T01:32:31.1676847Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1676987Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1677121Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1677247Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1677377Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1677464Z ''')
2022-11-23T01:32:31.1677470Z 
2022-11-23T01:32:31.1677474Z 
2022-11-23T01:32:31.1677571Z async_compile.wait(globals())
2022-11-23T01:32:31.1677648Z del async_compile
2022-11-23T01:32:31.1677654Z 
2022-11-23T01:32:31.1677728Z def call(args):
2022-11-23T01:32:31.1677808Z     arg0_1, = args
2022-11-23T01:32:31.1677885Z     args.clear()
2022-11-23T01:32:31.1678113Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1678311Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1678528Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1678728Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1678917Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1679010Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1679191Z     triton_fused_div_1_div_div_2_div_3_div_40.run(arg0_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1679265Z     del arg0_1
2022-11-23T01:32:31.1679361Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1679366Z 
2022-11-23T01:32:31.1679371Z 
2022-11-23T01:32:31.1679452Z if __name__ == "__main__":
2022-11-23T01:32:31.1679573Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1679705Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1679904Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1680022Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.1680028Z 
2022-11-23T01:32:31.1680032Z 
2022-11-23T01:32:31.1680133Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1680207Z import torch
2022-11-23T01:32:31.1680276Z import random
2022-11-23T01:32:31.1680397Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1680526Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1680531Z 
2022-11-23T01:32:31.1680614Z aten = torch.ops.aten
2022-11-23T01:32:31.1680753Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1680851Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1680856Z 
2022-11-23T01:32:31.1680932Z import triton
2022-11-23T01:32:31.1681019Z import triton.language as tl
2022-11-23T01:32:31.1681149Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1681297Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1681305Z 
2022-11-23T01:32:31.1681309Z 
2022-11-23T01:32:31.1681506Z triton_fused_div_div_3_div_4_div_1_div_20 = async_compile.triton('''
2022-11-23T01:32:31.1681584Z import triton
2022-11-23T01:32:31.1681679Z import triton.language as tl
2022-11-23T01:32:31.1681795Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1681900Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1682029Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1682158Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1682163Z 
2022-11-23T01:32:31.1682585Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*i64', 3: '*i64', 4: '*fp32', 5: '*i64', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.1682659Z @triton.jit
2022-11-23T01:32:31.1682842Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1682919Z     xnumel = 64
2022-11-23T01:32:31.1683019Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1683154Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1683232Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1683305Z     x0 = xindex
2022-11-23T01:32:31.1683403Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1683496Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1683569Z     tmp2 = 16
2022-11-23T01:32:31.1683649Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.1683904Z     tmp4 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1683978Z     tmp5 = tmp0 // tmp2
2022-11-23T01:32:31.1684115Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1684291Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1684446Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1684579Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.1684709Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1684798Z ''')
2022-11-23T01:32:31.1684804Z 
2022-11-23T01:32:31.1684809Z 
2022-11-23T01:32:31.1684905Z async_compile.wait(globals())
2022-11-23T01:32:31.1684975Z del async_compile
2022-11-23T01:32:31.1684988Z 
2022-11-23T01:32:31.1685057Z def call(args):
2022-11-23T01:32:31.1685133Z     arg0_1, = args
2022-11-23T01:32:31.1685208Z     args.clear()
2022-11-23T01:32:31.1685409Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1685603Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1685803Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1686001Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1686186Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1686279Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1686459Z     triton_fused_div_div_3_div_4_div_1_div_20.run(arg0_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1686534Z     del arg0_1
2022-11-23T01:32:31.1686637Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1686643Z 
2022-11-23T01:32:31.1686647Z 
2022-11-23T01:32:31.1686729Z if __name__ == "__main__":
2022-11-23T01:32:31.1686851Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1686981Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1687170Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1687285Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.1687294Z 
2022-11-23T01:32:31.1687368Z ok (0.201s)
2022-11-23T01:32:31.1687682Z   test_div6_cuda (__main__.CudaTests) ... [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1687998Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1688222Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1688482Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1688766Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1689084Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1689422Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1689746Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1690121Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126> 
2022-11-23T01:32:31.1690223Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1690322Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1690420Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1690517Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1690617Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1690813Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1690926Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1690931Z 
2022-11-23T01:32:31.1691031Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1691130Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1691227Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1691324Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1691473Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1691639Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1691732Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1691745Z 
2022-11-23T01:32:31.1691838Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1691936Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1692032Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1692130Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1692281Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1692443Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1692541Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1692546Z 
2022-11-23T01:32:31.1692634Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1692729Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1692819Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1692825Z 
2022-11-23T01:32:31.1692921Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1693016Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1693107Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1693113Z 
2022-11-23T01:32:31.1693210Z 1127          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1693292Z               56 RETURN_VALUE
2022-11-23T01:32:31.1693352Z  
2022-11-23T01:32:31.1693358Z 
2022-11-23T01:32:31.1693680Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128
2022-11-23T01:32:31.1693908Z [2022-11-23 01:29:33,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1694216Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1694469Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1694744Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1695056Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1695435Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1695841Z [2022-11-23 01:29:33,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1696153Z [2022-11-23 01:29:33,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129
2022-11-23T01:32:31.1696397Z [2022-11-23 01:29:33,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1696730Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1697044Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1697345Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1697745Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1698137Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1698556Z [2022-11-23 01:29:33,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1699067Z [2022-11-23 01:29:33,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130
2022-11-23T01:32:31.1699351Z [2022-11-23 01:29:33,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1699708Z [2022-11-23 01:29:33,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1700012Z [2022-11-23 01:29:33,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1700342Z [2022-11-23 01:29:33,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1700700Z [2022-11-23 01:29:33,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1701112Z [2022-11-23 01:29:33,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1701555Z [2022-11-23 01:29:33,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1701870Z [2022-11-23 01:29:33,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131
2022-11-23T01:32:31.1702165Z [2022-11-23 01:29:33,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1702482Z [2022-11-23 01:29:33,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1702849Z [2022-11-23 01:29:33,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1703163Z [2022-11-23 01:29:33,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132
2022-11-23T01:32:31.1703478Z [2022-11-23 01:29:33,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1703816Z [2022-11-23 01:29:33,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1704208Z [2022-11-23 01:29:33,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1704558Z [2022-11-23 01:29:33,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127
2022-11-23T01:32:31.1704933Z [2022-11-23 01:29:33,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1705171Z [2022-11-23 01:29:33,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1705549Z [2022-11-23 01:29:33,817] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126>
2022-11-23T01:32:31.1705794Z [2022-11-23 01:29:33,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1706029Z [2022-11-23 01:29:33,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1706291Z [2022-11-23 01:29:33,818] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1706548Z [2022-11-23 01:29:33,824] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1706742Z [2022-11-23 01:29:33,824] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1706884Z  __compiled_fn_447 <eval_with_key>.2768 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1706982Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1707069Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1707263Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1707460Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1707656Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1707856Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1708059Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1708205Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1708210Z 
2022-11-23T01:32:31.1708543Z [2022-11-23 01:29:33,825] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1708645Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1708735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1708832Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1708932Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1709025Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1709122Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1709204Z              12 RETURN_VALUE
2022-11-23T01:32:31.1709209Z 
2022-11-23T01:32:31.1709274Z  
2022-11-23T01:32:31.1709594Z [2022-11-23 01:29:33,825] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1709715Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_447)
2022-11-23T01:32:31.1709812Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1709911Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1709995Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1710091Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1710188Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1710364Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1710481Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1710601Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1710712Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1710809Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1710929Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1711040Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1711157Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1711232Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1711343Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1711438Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1711521Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1711630Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1711728Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1711808Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1711909Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1712004Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1712087Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1712186Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1712269Z              50 RETURN_VALUE
2022-11-23T01:32:31.1712274Z 
2022-11-23T01:32:31.1712342Z  
2022-11-23T01:32:31.1712540Z [2022-11-23 01:29:33,826] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1712608Z  - 
2022-11-23T01:32:31.1712734Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1712803Z             {
2022-11-23T01:32:31.1712951Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1713151Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1713277Z                 'obj_weakref': None
2022-11-23T01:32:31.1713505Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1713568Z             }
2022-11-23T01:32:31.1713642Z             
2022-11-23T01:32:31.1713719Z  - 
2022-11-23T01:32:31.1713850Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1713923Z             {
2022-11-23T01:32:31.1714074Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1714190Z                 'code': None,
2022-11-23T01:32:31.1714404Z                 'obj_weakref': <weakref at 0x7f201e3d7510; to 'Tensor' at 0x7f20680bdb70>
2022-11-23T01:32:31.1714658Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1714729Z             }
2022-11-23T01:32:31.1714797Z             
2022-11-23T01:32:31.1714873Z  - 
2022-11-23T01:32:31.1715005Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1715076Z             {
2022-11-23T01:32:31.1715218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1715330Z                 'code': None,
2022-11-23T01:32:31.1715542Z                 'obj_weakref': <weakref at 0x7f2022f7a840; to 'Tensor' at 0x7f2060185cb0>
2022-11-23T01:32:31.1715797Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1715867Z             }
2022-11-23T01:32:31.1715936Z             
2022-11-23T01:32:31.1716017Z  - 
2022-11-23T01:32:31.1716146Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1716219Z             {
2022-11-23T01:32:31.1716361Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1716537Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1716663Z                 'obj_weakref': None
2022-11-23T01:32:31.1716893Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1716962Z             }
2022-11-23T01:32:31.1717023Z             
2022-11-23T01:32:31.1717098Z  - 
2022-11-23T01:32:31.1717226Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1717295Z             {
2022-11-23T01:32:31.1717437Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1717660Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1717784Z                 'obj_weakref': None
2022-11-23T01:32:31.1718045Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1718136Z             }
2022-11-23T01:32:31.1718204Z             
2022-11-23T01:32:31.1718281Z  - 
2022-11-23T01:32:31.1718418Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1718487Z             {
2022-11-23T01:32:31.1718613Z                 'guard_types': None,
2022-11-23T01:32:31.1718718Z                 'code': None,
2022-11-23T01:32:31.1718842Z                 'obj_weakref': None
2022-11-23T01:32:31.1718969Z                 'guarded_class': None
2022-11-23T01:32:31.1719039Z             }
2022-11-23T01:32:31.1719107Z             
2022-11-23T01:32:31.1719367Z [2022-11-23 01:29:33,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437
2022-11-23T01:32:31.1719787Z [2022-11-23 01:29:33,851] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1720149Z [2022-11-23 01:29:33,941] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/25/c25rrd6xt3fojhfo4cjxea7w77uzgzbwzrkp4dge43ccmia4dd5f.py
2022-11-23T01:32:31.1720408Z [2022-11-23 01:29:33,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437
2022-11-23T01:32:31.1720646Z [2022-11-23 01:29:33,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1720962Z [2022-11-23 01:29:33,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1721181Z [2022-11-23 01:29:33,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1721435Z [2022-11-23 01:29:33,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1721712Z [2022-11-23 01:29:33,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1722033Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1722373Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1722693Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1723067Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126> 
2022-11-23T01:32:31.1723164Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1723262Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1723365Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1723463Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1723564Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1723731Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1723831Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1723836Z 
2022-11-23T01:32:31.1723936Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1724025Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1724121Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1724217Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1724363Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1724532Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1724630Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1724636Z 
2022-11-23T01:32:31.1724766Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1724873Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1724971Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1725066Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1725215Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1725378Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1725476Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1725482Z 
2022-11-23T01:32:31.1725575Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1725670Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1725753Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1725758Z 
2022-11-23T01:32:31.1725852Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1725946Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1726040Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1726045Z 
2022-11-23T01:32:31.1726143Z 1127          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1726225Z               56 RETURN_VALUE
2022-11-23T01:32:31.1726291Z  
2022-11-23T01:32:31.1726296Z 
2022-11-23T01:32:31.1726611Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128
2022-11-23T01:32:31.1726825Z [2022-11-23 01:29:33,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1727125Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1727377Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1727651Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1727959Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1728337Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1728738Z [2022-11-23 01:29:33,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1729053Z [2022-11-23 01:29:33,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129
2022-11-23T01:32:31.1729305Z [2022-11-23 01:29:33,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1729637Z [2022-11-23 01:29:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1729917Z [2022-11-23 01:29:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1730211Z [2022-11-23 01:29:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1730545Z [2022-11-23 01:29:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1730939Z [2022-11-23 01:29:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1731390Z [2022-11-23 01:29:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1731731Z [2022-11-23 01:29:33,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130
2022-11-23T01:32:31.1732008Z [2022-11-23 01:29:33,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1732370Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1732675Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1733006Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1733376Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1733799Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1734242Z [2022-11-23 01:29:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1734558Z [2022-11-23 01:29:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131
2022-11-23T01:32:31.1734848Z [2022-11-23 01:29:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1735170Z [2022-11-23 01:29:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1735535Z [2022-11-23 01:29:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1735853Z [2022-11-23 01:29:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132
2022-11-23T01:32:31.1736172Z [2022-11-23 01:29:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1736518Z [2022-11-23 01:29:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1736911Z [2022-11-23 01:29:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1737225Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127
2022-11-23T01:32:31.1737575Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1737824Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1738196Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126>
2022-11-23T01:32:31.1738467Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1738716Z [2022-11-23 01:29:33,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1739280Z [2022-11-23 01:29:33,972] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1739537Z [2022-11-23 01:29:33,977] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1739731Z [2022-11-23 01:29:33,978] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1739875Z  __compiled_fn_448 <eval_with_key>.2774 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1739973Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1740067Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1740257Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1740444Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1740640Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1740834Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1741035Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1741176Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1741182Z 
2022-11-23T01:32:31.1741507Z [2022-11-23 01:29:33,978] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1741609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1741710Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1741805Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1741928Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1742041Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1742144Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1742229Z              12 RETURN_VALUE
2022-11-23T01:32:31.1742234Z 
2022-11-23T01:32:31.1742301Z  
2022-11-23T01:32:31.1742621Z [2022-11-23 01:29:33,978] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1742739Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_448)
2022-11-23T01:32:31.1742828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1742927Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1743010Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1743107Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1743203Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1743285Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1743379Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1743487Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1743599Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1743695Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1743778Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1743890Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1743986Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1744068Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1744168Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1744265Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1744347Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1744455Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1744548Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1744629Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1744739Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1744901Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1745029Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1745123Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1745205Z              50 RETURN_VALUE
2022-11-23T01:32:31.1745211Z 
2022-11-23T01:32:31.1745278Z  
2022-11-23T01:32:31.1745472Z [2022-11-23 01:29:33,979] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1745549Z  - 
2022-11-23T01:32:31.1745677Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1745740Z             {
2022-11-23T01:32:31.1745887Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1746078Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1746203Z                 'obj_weakref': None
2022-11-23T01:32:31.1746427Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1746498Z             }
2022-11-23T01:32:31.1746570Z             
2022-11-23T01:32:31.1746639Z  - 
2022-11-23T01:32:31.1746772Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1746840Z             {
2022-11-23T01:32:31.1746988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1747102Z                 'code': None,
2022-11-23T01:32:31.1747315Z                 'obj_weakref': <weakref at 0x7f201e3d7510; to 'Tensor' at 0x7f20680bdb70>
2022-11-23T01:32:31.1747565Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1747627Z             }
2022-11-23T01:32:31.1747697Z             
2022-11-23T01:32:31.1747774Z  - 
2022-11-23T01:32:31.1747901Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1747971Z             {
2022-11-23T01:32:31.1748119Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1748232Z                 'code': None,
2022-11-23T01:32:31.1748438Z                 'obj_weakref': <weakref at 0x7f2022f7a840; to 'Tensor' at 0x7f2060185cb0>
2022-11-23T01:32:31.1748690Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1748763Z             }
2022-11-23T01:32:31.1748831Z             
2022-11-23T01:32:31.1748906Z  - 
2022-11-23T01:32:31.1749042Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1749112Z             {
2022-11-23T01:32:31.1749246Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1749421Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1749545Z                 'obj_weakref': None
2022-11-23T01:32:31.1749774Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1749845Z             }
2022-11-23T01:32:31.1749913Z             
2022-11-23T01:32:31.1749989Z  - 
2022-11-23T01:32:31.1750110Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1750179Z             {
2022-11-23T01:32:31.1750425Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1750676Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1750800Z                 'obj_weakref': None
2022-11-23T01:32:31.1751023Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1751094Z             }
2022-11-23T01:32:31.1751155Z             
2022-11-23T01:32:31.1751233Z  - 
2022-11-23T01:32:31.1751375Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1751444Z             {
2022-11-23T01:32:31.1751570Z                 'guard_types': None,
2022-11-23T01:32:31.1751684Z                 'code': None,
2022-11-23T01:32:31.1751798Z                 'obj_weakref': None
2022-11-23T01:32:31.1751927Z                 'guarded_class': None
2022-11-23T01:32:31.1751998Z             }
2022-11-23T01:32:31.1752067Z             
2022-11-23T01:32:31.1752370Z [2022-11-23 01:29:33,988] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438
2022-11-23T01:32:31.1752843Z [2022-11-23 01:29:34,004] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1753233Z [2022-11-23 01:29:34,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ws/cwsi7ua4aldhcz3ci4mk7f27m6prxmdmy4frqclnot4b453vbqhm.py
2022-11-23T01:32:31.1753500Z [2022-11-23 01:29:34,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438
2022-11-23T01:32:31.1753506Z 
2022-11-23T01:32:31.1753606Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1753674Z import torch
2022-11-23T01:32:31.1753751Z import random
2022-11-23T01:32:31.1753877Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1754004Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1754009Z 
2022-11-23T01:32:31.1754097Z aten = torch.ops.aten
2022-11-23T01:32:31.1754239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1754345Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1754351Z 
2022-11-23T01:32:31.1754419Z import triton
2022-11-23T01:32:31.1754514Z import triton.language as tl
2022-11-23T01:32:31.1754642Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1754785Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1754790Z 
2022-11-23T01:32:31.1754795Z 
2022-11-23T01:32:31.1754989Z triton_fused_div_1_div_4_div_div_2_div_30 = async_compile.triton('''
2022-11-23T01:32:31.1755065Z import triton
2022-11-23T01:32:31.1755159Z import triton.language as tl
2022-11-23T01:32:31.1755280Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1755377Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1755514Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1755646Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1755655Z 
2022-11-23T01:32:31.1756088Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i1', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1756166Z @triton.jit
2022-11-23T01:32:31.1756348Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1756425Z     xnumel = 64
2022-11-23T01:32:31.1756528Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1756654Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1756740Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1756813Z     x0 = xindex
2022-11-23T01:32:31.1756913Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1757012Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1757103Z     tmp1 = tmp0.to(tl.int64)
2022-11-23T01:32:31.1757199Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.1757281Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.1757361Z     tmp5 = tmp2 / tmp4
2022-11-23T01:32:31.1757621Z     tmp6 = tl.where((tmp1 < 0) != (tmp3 < 0), tl.where(tmp1 % tmp3 != 0, tmp1 // tmp3 - 1, tmp1 // tmp3), tmp1 // tmp3)
2022-11-23T01:32:31.1757702Z     tmp7 = tmp1 // tmp3
2022-11-23T01:32:31.1757790Z     tmp8 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1757870Z     tmp9 = tmp8 / tmp4
2022-11-23T01:32:31.1758009Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1758147Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1758274Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.1758408Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.1758567Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1758660Z ''')
2022-11-23T01:32:31.1758686Z 
2022-11-23T01:32:31.1758691Z 
2022-11-23T01:32:31.1758789Z async_compile.wait(globals())
2022-11-23T01:32:31.1758866Z del async_compile
2022-11-23T01:32:31.1758872Z 
2022-11-23T01:32:31.1758952Z def call(args):
2022-11-23T01:32:31.1759033Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1759103Z     args.clear()
2022-11-23T01:32:31.1759308Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1759505Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1759700Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1759899Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1760090Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1760184Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1760365Z     triton_fused_div_1_div_4_div_div_2_div_30.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1760443Z     del arg0_1
2022-11-23T01:32:31.1760518Z     del arg1_1
2022-11-23T01:32:31.1760620Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1760626Z 
2022-11-23T01:32:31.1760631Z 
2022-11-23T01:32:31.1760712Z if __name__ == "__main__":
2022-11-23T01:32:31.1760833Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1760962Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1761153Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.1761339Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1761461Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1761466Z 
2022-11-23T01:32:31.1761471Z 
2022-11-23T01:32:31.1761571Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1761649Z import torch
2022-11-23T01:32:31.1761728Z import random
2022-11-23T01:32:31.1761853Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1761981Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1761986Z 
2022-11-23T01:32:31.1762070Z aten = torch.ops.aten
2022-11-23T01:32:31.1762204Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1762302Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1762307Z 
2022-11-23T01:32:31.1762382Z import triton
2022-11-23T01:32:31.1762475Z import triton.language as tl
2022-11-23T01:32:31.1762603Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1762747Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1762753Z 
2022-11-23T01:32:31.1762757Z 
2022-11-23T01:32:31.1762953Z triton_fused_div_3_div_div_2_div_1_div_40 = async_compile.triton('''
2022-11-23T01:32:31.1763029Z import triton
2022-11-23T01:32:31.1763115Z import triton.language as tl
2022-11-23T01:32:31.1763234Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1763341Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1763477Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1763605Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1763610Z 
2022-11-23T01:32:31.1764042Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i1', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1764118Z @triton.jit
2022-11-23T01:32:31.1764299Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1764367Z     xnumel = 64
2022-11-23T01:32:31.1764467Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1764600Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1764717Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1764811Z     x0 = xindex
2022-11-23T01:32:31.1764910Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1765008Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1765088Z     tmp1 = tmp0.to(tl.int64)
2022-11-23T01:32:31.1765178Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.1765267Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.1765346Z     tmp5 = tmp2 / tmp4
2022-11-23T01:32:31.1765605Z     tmp6 = tl.where((tmp1 < 0) != (tmp3 < 0), tl.where(tmp1 % tmp3 != 0, tmp1 // tmp3 - 1, tmp1 // tmp3), tmp1 // tmp3)
2022-11-23T01:32:31.1765687Z     tmp7 = tmp1 // tmp3
2022-11-23T01:32:31.1765775Z     tmp8 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1765847Z     tmp9 = tmp8 / tmp4
2022-11-23T01:32:31.1765983Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1766119Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1766260Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.1766396Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.1766526Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1766615Z ''')
2022-11-23T01:32:31.1766621Z 
2022-11-23T01:32:31.1766625Z 
2022-11-23T01:32:31.1766722Z async_compile.wait(globals())
2022-11-23T01:32:31.1766793Z del async_compile
2022-11-23T01:32:31.1766798Z 
2022-11-23T01:32:31.1766876Z def call(args):
2022-11-23T01:32:31.1766956Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1767033Z     args.clear()
2022-11-23T01:32:31.1767238Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1767433Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1767626Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1767830Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1768014Z     buf4 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1768107Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1768292Z     triton_fused_div_3_div_div_2_div_1_div_40.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.1768369Z     del arg0_1
2022-11-23T01:32:31.1768444Z     del arg1_1
2022-11-23T01:32:31.1768546Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1768552Z 
2022-11-23T01:32:31.1768556Z 
2022-11-23T01:32:31.1768640Z if __name__ == "__main__":
2022-11-23T01:32:31.1768753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1768881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1769072Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.1769266Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1769390Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1769398Z 
2022-11-23T01:32:31.1769473Z ok (0.227s)
2022-11-23T01:32:31.1769779Z   test_div7_cuda (__main__.CudaTests) ... [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1770095Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1770316Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1770564Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1770844Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1771197Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1771558Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1771879Z [2022-11-23 01:29:34,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1772256Z [2022-11-23 01:29:34,020] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142> 
2022-11-23T01:32:31.1772383Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1772496Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1772606Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1772695Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1772801Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1772970Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1773072Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1773077Z 
2022-11-23T01:32:31.1773177Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1773275Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1773371Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1773466Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1773605Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1773772Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1773872Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1773877Z 
2022-11-23T01:32:31.1773976Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1774072Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1774171Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1774274Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1774413Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1774578Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1774678Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1774683Z 
2022-11-23T01:32:31.1774779Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1774874Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1774962Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1774967Z 
2022-11-23T01:32:31.1775061Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1775155Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1775239Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1775253Z 
2022-11-23T01:32:31.1775342Z 1143          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1775426Z               56 RETURN_VALUE
2022-11-23T01:32:31.1775495Z  
2022-11-23T01:32:31.1775502Z 
2022-11-23T01:32:31.1775818Z [2022-11-23 01:29:34,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144
2022-11-23T01:32:31.1776039Z [2022-11-23 01:29:34,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1776343Z [2022-11-23 01:29:34,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1776593Z [2022-11-23 01:29:34,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1776866Z [2022-11-23 01:29:34,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1777166Z [2022-11-23 01:29:34,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1777580Z [2022-11-23 01:29:34,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1778004Z [2022-11-23 01:29:34,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1778315Z [2022-11-23 01:29:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145
2022-11-23T01:32:31.1778562Z [2022-11-23 01:29:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1779313Z [2022-11-23 01:29:34,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1779603Z [2022-11-23 01:29:34,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1779906Z [2022-11-23 01:29:34,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1780240Z [2022-11-23 01:29:34,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1780624Z [2022-11-23 01:29:34,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1781033Z [2022-11-23 01:29:34,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1781348Z [2022-11-23 01:29:34,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146
2022-11-23T01:32:31.1781621Z [2022-11-23 01:29:34,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1781968Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1782268Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1782600Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1782966Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1783385Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1783830Z [2022-11-23 01:29:34,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1784146Z [2022-11-23 01:29:34,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147
2022-11-23T01:32:31.1784443Z [2022-11-23 01:29:34,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1784845Z [2022-11-23 01:29:34,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1785292Z [2022-11-23 01:29:34,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1785649Z [2022-11-23 01:29:34,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148
2022-11-23T01:32:31.1786015Z [2022-11-23 01:29:34,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1786404Z [2022-11-23 01:29:34,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1786861Z [2022-11-23 01:29:34,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1787220Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143
2022-11-23T01:32:31.1787625Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1787907Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1788343Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142>
2022-11-23T01:32:31.1788625Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1788894Z [2022-11-23 01:29:34,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1789188Z [2022-11-23 01:29:34,046] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1789474Z [2022-11-23 01:29:34,053] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1789687Z [2022-11-23 01:29:34,053] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1789833Z  __compiled_fn_449 <eval_with_key>.2780 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1789932Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1790028Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1790241Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1790575Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1790797Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1791023Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1791380Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1791514Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1791520Z 
2022-11-23T01:32:31.1791853Z [2022-11-23 01:29:34,054] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1791960Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1792081Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1792185Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1792300Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1792393Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1792488Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1792563Z              12 RETURN_VALUE
2022-11-23T01:32:31.1792569Z 
2022-11-23T01:32:31.1792677Z  
2022-11-23T01:32:31.1793005Z [2022-11-23 01:29:34,054] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1793168Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_449)
2022-11-23T01:32:31.1793265Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1793362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1793445Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1793532Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1793627Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1793710Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1793804Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1793916Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1794025Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1794125Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1794200Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1794311Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1794408Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1794492Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1794599Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1794693Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1794775Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1794884Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1794971Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1795055Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1795162Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1795256Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1795341Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1795439Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1795520Z              50 RETURN_VALUE
2022-11-23T01:32:31.1795529Z 
2022-11-23T01:32:31.1795588Z  
2022-11-23T01:32:31.1795777Z [2022-11-23 01:29:34,055] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1795855Z  - 
2022-11-23T01:32:31.1795982Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1796052Z             {
2022-11-23T01:32:31.1796198Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1796392Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1796511Z                 'obj_weakref': None
2022-11-23T01:32:31.1796737Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1796808Z             }
2022-11-23T01:32:31.1796878Z             
2022-11-23T01:32:31.1796954Z  - 
2022-11-23T01:32:31.1797085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1797156Z             {
2022-11-23T01:32:31.1797299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1797414Z                 'code': None,
2022-11-23T01:32:31.1797628Z                 'obj_weakref': <weakref at 0x7f2151eeec00; to 'Tensor' at 0x7f20682c68e0>
2022-11-23T01:32:31.1797877Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1797946Z             }
2022-11-23T01:32:31.1798014Z             
2022-11-23T01:32:31.1798091Z  - 
2022-11-23T01:32:31.1798210Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1798279Z             {
2022-11-23T01:32:31.1798428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1798539Z                 'code': None,
2022-11-23T01:32:31.1798751Z                 'obj_weakref': <weakref at 0x7f1fe03698a0; to 'Tensor' at 0x7f201e3d4b30>
2022-11-23T01:32:31.1799000Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1799130Z             }
2022-11-23T01:32:31.1799193Z             
2022-11-23T01:32:31.1799290Z  - 
2022-11-23T01:32:31.1799429Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1799498Z             {
2022-11-23T01:32:31.1799639Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1799814Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1799939Z                 'obj_weakref': None
2022-11-23T01:32:31.1800159Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1800229Z             }
2022-11-23T01:32:31.1800298Z             
2022-11-23T01:32:31.1800373Z  - 
2022-11-23T01:32:31.1800499Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1800568Z             {
2022-11-23T01:32:31.1800708Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1800921Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1801048Z                 'obj_weakref': None
2022-11-23T01:32:31.1801278Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1801347Z             }
2022-11-23T01:32:31.1801417Z             
2022-11-23T01:32:31.1801495Z  - 
2022-11-23T01:32:31.1801632Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1801694Z             {
2022-11-23T01:32:31.1801820Z                 'guard_types': None,
2022-11-23T01:32:31.1801933Z                 'code': None,
2022-11-23T01:32:31.1802057Z                 'obj_weakref': None
2022-11-23T01:32:31.1802185Z                 'guarded_class': None
2022-11-23T01:32:31.1802253Z             }
2022-11-23T01:32:31.1802315Z             
2022-11-23T01:32:31.1802583Z [2022-11-23 01:29:34,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439
2022-11-23T01:32:31.1803008Z [2022-11-23 01:29:34,081] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1803377Z [2022-11-23 01:29:34,188] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gt/cgt4ww64hnopcbbadvibav5gteew3gkxoiy3fmrhg4jx5mo2syfp.py
2022-11-23T01:32:31.1803643Z [2022-11-23 01:29:34,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439
2022-11-23T01:32:31.1803881Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1804195Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1804416Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1804669Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1804951Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1805262Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1805602Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1805922Z [2022-11-23 01:29:34,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1806294Z [2022-11-23 01:29:34,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142> 
2022-11-23T01:32:31.1806398Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1806557Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1806678Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1806775Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1806876Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1807037Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1807137Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1807142Z 
2022-11-23T01:32:31.1807242Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1807340Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1807438Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1807532Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1807680Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1807846Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1807941Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1807948Z 
2022-11-23T01:32:31.1808047Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1808143Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1808237Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1808333Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1808482Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1808650Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1808741Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1808754Z 
2022-11-23T01:32:31.1808840Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1808934Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1809025Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1809030Z 
2022-11-23T01:32:31.1809126Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1809224Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1809318Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1809323Z 
2022-11-23T01:32:31.1809419Z 1143          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1809493Z               56 RETURN_VALUE
2022-11-23T01:32:31.1809560Z  
2022-11-23T01:32:31.1809565Z 
2022-11-23T01:32:31.1809886Z [2022-11-23 01:29:34,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144
2022-11-23T01:32:31.1810110Z [2022-11-23 01:29:34,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1810417Z [2022-11-23 01:29:34,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1810672Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1810953Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1811267Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1811639Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1812037Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1812358Z [2022-11-23 01:29:34,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145
2022-11-23T01:32:31.1812602Z [2022-11-23 01:29:34,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1812959Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1813258Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1813562Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1813904Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1814298Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1814719Z [2022-11-23 01:29:34,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1815039Z [2022-11-23 01:29:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146
2022-11-23T01:32:31.1815313Z [2022-11-23 01:29:34,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1815669Z [2022-11-23 01:29:34,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1815971Z [2022-11-23 01:29:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1816306Z [2022-11-23 01:29:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.1816666Z [2022-11-23 01:29:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1817084Z [2022-11-23 01:29:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.1817530Z [2022-11-23 01:29:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1817846Z [2022-11-23 01:29:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147
2022-11-23T01:32:31.1818147Z [2022-11-23 01:29:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1818470Z [2022-11-23 01:29:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1819083Z [2022-11-23 01:29:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1819403Z [2022-11-23 01:29:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148
2022-11-23T01:32:31.1819722Z [2022-11-23 01:29:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1820152Z [2022-11-23 01:29:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1820574Z [2022-11-23 01:29:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1820886Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143
2022-11-23T01:32:31.1821239Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1821483Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1821891Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f20ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142>
2022-11-23T01:32:31.1822172Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1822412Z [2022-11-23 01:29:34,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1822671Z [2022-11-23 01:29:34,221] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1822924Z [2022-11-23 01:29:34,227] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1823118Z [2022-11-23 01:29:34,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1823260Z  __compiled_fn_450 <eval_with_key>.2786 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1823354Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1823441Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1823634Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.1823834Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1824033Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1824230Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1824431Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1824572Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.1824578Z 
2022-11-23T01:32:31.1824906Z [2022-11-23 01:29:34,228] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1825000Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1825098Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1825229Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1825334Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1825426Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1825525Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1825607Z              12 RETURN_VALUE
2022-11-23T01:32:31.1825612Z 
2022-11-23T01:32:31.1825678Z  
2022-11-23T01:32:31.1825994Z [2022-11-23 01:29:34,228] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1826113Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_450)
2022-11-23T01:32:31.1826211Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1826308Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1826392Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1826491Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1826585Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1826660Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1826794Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1826909Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1827041Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1827138Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1827222Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1827332Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1827420Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1827502Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.1827611Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1827710Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1827797Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.1827906Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1828000Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.1828075Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.1828185Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1828285Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.1828367Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.1828461Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.1828545Z              50 RETURN_VALUE
2022-11-23T01:32:31.1828550Z 
2022-11-23T01:32:31.1828617Z  
2022-11-23T01:32:31.1828807Z [2022-11-23 01:29:34,229] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1828875Z  - 
2022-11-23T01:32:31.1829000Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1829071Z             {
2022-11-23T01:32:31.1829216Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1829407Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1829531Z                 'obj_weakref': None
2022-11-23T01:32:31.1829755Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1829821Z             }
2022-11-23T01:32:31.1829895Z             
2022-11-23T01:32:31.1829970Z  - 
2022-11-23T01:32:31.1830099Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1830168Z             {
2022-11-23T01:32:31.1830417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1830541Z                 'code': None,
2022-11-23T01:32:31.1830756Z                 'obj_weakref': <weakref at 0x7f2151eeec00; to 'Tensor' at 0x7f20682c68e0>
2022-11-23T01:32:31.1831007Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1831078Z             }
2022-11-23T01:32:31.1831147Z             
2022-11-23T01:32:31.1831224Z  - 
2022-11-23T01:32:31.1831352Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1831414Z             {
2022-11-23T01:32:31.1831561Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1831675Z                 'code': None,
2022-11-23T01:32:31.1831889Z                 'obj_weakref': <weakref at 0x7f1fe03698a0; to 'Tensor' at 0x7f201e3d4b30>
2022-11-23T01:32:31.1832144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1832212Z             }
2022-11-23T01:32:31.1832282Z             
2022-11-23T01:32:31.1832358Z  - 
2022-11-23T01:32:31.1832487Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1832555Z             {
2022-11-23T01:32:31.1832695Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1832874Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1832998Z                 'obj_weakref': None
2022-11-23T01:32:31.1833233Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1833302Z             }
2022-11-23T01:32:31.1833363Z             
2022-11-23T01:32:31.1833440Z  - 
2022-11-23T01:32:31.1833568Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1833680Z             {
2022-11-23T01:32:31.1833845Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1834068Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1834192Z                 'obj_weakref': None
2022-11-23T01:32:31.1834410Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1834478Z             }
2022-11-23T01:32:31.1834547Z             
2022-11-23T01:32:31.1834621Z  - 
2022-11-23T01:32:31.1834760Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1834833Z             {
2022-11-23T01:32:31.1834952Z                 'guard_types': None,
2022-11-23T01:32:31.1835065Z                 'code': None,
2022-11-23T01:32:31.1835190Z                 'obj_weakref': None
2022-11-23T01:32:31.1835317Z                 'guarded_class': None
2022-11-23T01:32:31.1835385Z             }
2022-11-23T01:32:31.1835453Z             
2022-11-23T01:32:31.1835718Z [2022-11-23 01:29:34,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440
2022-11-23T01:32:31.1836149Z [2022-11-23 01:29:34,255] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.1836515Z [2022-11-23 01:29:34,265] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cl/ccljxtjdnpf7vokrzpsgs5mwodcrivt444acvperu4cnsdxamhmt.py
2022-11-23T01:32:31.1836787Z [2022-11-23 01:29:34,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440
2022-11-23T01:32:31.1836792Z 
2022-11-23T01:32:31.1836893Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1836966Z import torch
2022-11-23T01:32:31.1837042Z import random
2022-11-23T01:32:31.1837165Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1837294Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1837299Z 
2022-11-23T01:32:31.1837387Z aten = torch.ops.aten
2022-11-23T01:32:31.1837520Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1837619Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1837625Z 
2022-11-23T01:32:31.1837700Z import triton
2022-11-23T01:32:31.1837794Z import triton.language as tl
2022-11-23T01:32:31.1837923Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1838068Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1838074Z 
2022-11-23T01:32:31.1838078Z 
2022-11-23T01:32:31.1838275Z triton_fused_div_1_div_3_div_4_div_2_div0 = async_compile.triton('''
2022-11-23T01:32:31.1838351Z import triton
2022-11-23T01:32:31.1838437Z import triton.language as tl
2022-11-23T01:32:31.1838553Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1838658Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1838798Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1838928Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1838936Z 
2022-11-23T01:32:31.1839384Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1839459Z @triton.jit
2022-11-23T01:32:31.1839642Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1839711Z     xnumel = 10000
2022-11-23T01:32:31.1839811Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1839944Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1840030Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1840103Z     x0 = xindex
2022-11-23T01:32:31.1840202Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1840331Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1840458Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1840548Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1840627Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1840886Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1840970Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1841116Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1841253Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1841387Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1841514Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1841643Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1841729Z ''')
2022-11-23T01:32:31.1841735Z 
2022-11-23T01:32:31.1841742Z 
2022-11-23T01:32:31.1841839Z async_compile.wait(globals())
2022-11-23T01:32:31.1841919Z del async_compile
2022-11-23T01:32:31.1841924Z 
2022-11-23T01:32:31.1842000Z def call(args):
2022-11-23T01:32:31.1842084Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1842161Z     args.clear()
2022-11-23T01:32:31.1842362Z     buf0 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1842566Z     buf1 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1842766Z     buf2 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1842970Z     buf3 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1843167Z     buf4 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1843259Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1843450Z     triton_fused_div_1_div_3_div_4_div_2_div0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10000, grid=grid(10000), stream=stream0)
2022-11-23T01:32:31.1843520Z     del arg0_1
2022-11-23T01:32:31.1843595Z     del arg1_1
2022-11-23T01:32:31.1843698Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1843703Z 
2022-11-23T01:32:31.1843708Z 
2022-11-23T01:32:31.1843794Z if __name__ == "__main__":
2022-11-23T01:32:31.1843915Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1844046Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1844249Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1844451Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1844566Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1844580Z 
2022-11-23T01:32:31.1844584Z 
2022-11-23T01:32:31.1844677Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1844752Z import torch
2022-11-23T01:32:31.1844828Z import random
2022-11-23T01:32:31.1844953Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1845085Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1845090Z 
2022-11-23T01:32:31.1845175Z aten = torch.ops.aten
2022-11-23T01:32:31.1845319Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1845409Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1845414Z 
2022-11-23T01:32:31.1845489Z import triton
2022-11-23T01:32:31.1845582Z import triton.language as tl
2022-11-23T01:32:31.1845712Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1845856Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1845861Z 
2022-11-23T01:32:31.1845866Z 
2022-11-23T01:32:31.1846060Z triton_fused_div_3_div_2_div_4_div_1_div0 = async_compile.triton('''
2022-11-23T01:32:31.1846136Z import triton
2022-11-23T01:32:31.1846230Z import triton.language as tl
2022-11-23T01:32:31.1846339Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.1846477Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.1846636Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.1846765Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.1846771Z 
2022-11-23T01:32:31.1847210Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.1847286Z @triton.jit
2022-11-23T01:32:31.1847470Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.1847546Z     xnumel = 10000
2022-11-23T01:32:31.1847639Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.1847773Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.1847857Z     xmask = xindex < xnumel
2022-11-23T01:32:31.1847933Z     x0 = xindex
2022-11-23T01:32:31.1848035Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.1848133Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.1848223Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.1848304Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.1848384Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.1848638Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.1848720Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.1848856Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1848995Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1849127Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.1849259Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.1849384Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.1849475Z ''')
2022-11-23T01:32:31.1849480Z 
2022-11-23T01:32:31.1849485Z 
2022-11-23T01:32:31.1849581Z async_compile.wait(globals())
2022-11-23T01:32:31.1849661Z del async_compile
2022-11-23T01:32:31.1849667Z 
2022-11-23T01:32:31.1849743Z def call(args):
2022-11-23T01:32:31.1849824Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.1849901Z     args.clear()
2022-11-23T01:32:31.1850110Z     buf0 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1850304Z     buf1 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1850503Z     buf2 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1850707Z     buf3 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.1850905Z     buf4 = empty_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1851000Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.1851188Z     triton_fused_div_3_div_2_div_4_div_1_div0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10000, grid=grid(10000), stream=stream0)
2022-11-23T01:32:31.1851265Z     del arg0_1
2022-11-23T01:32:31.1851331Z     del arg1_1
2022-11-23T01:32:31.1851434Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.1851440Z 
2022-11-23T01:32:31.1851444Z 
2022-11-23T01:32:31.1851527Z if __name__ == "__main__":
2022-11-23T01:32:31.1851648Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1851776Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1851980Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1852181Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.1852303Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.1852308Z 
2022-11-23T01:32:31.1852380Z ok (0.251s)
2022-11-23T01:32:31.1852706Z   test_div8_cuda (__main__.CudaTests) ... [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1853047Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1853272Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1853528Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1853807Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1854125Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1854475Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1854805Z [2022-11-23 01:29:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1855179Z [2022-11-23 01:29:34,270] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160> 
2022-11-23T01:32:31.1855283Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1855374Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1855472Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1855570Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1855670Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1855835Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1855938Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1855946Z 
2022-11-23T01:32:31.1856046Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1856136Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1856235Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1856331Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1856479Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1856645Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1856743Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1856748Z 
2022-11-23T01:32:31.1856848Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1856944Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1857033Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1857129Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1857281Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1857448Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1857546Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1857551Z 
2022-11-23T01:32:31.1857648Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1857743Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1857832Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1857838Z 
2022-11-23T01:32:31.1857924Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1858018Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1858111Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1858117Z 
2022-11-23T01:32:31.1858215Z 1161          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1858297Z               56 RETURN_VALUE
2022-11-23T01:32:31.1858364Z  
2022-11-23T01:32:31.1858369Z 
2022-11-23T01:32:31.1858714Z [2022-11-23 01:29:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162
2022-11-23T01:32:31.1859234Z [2022-11-23 01:29:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1859536Z [2022-11-23 01:29:34,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1859789Z [2022-11-23 01:29:34,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1860079Z [2022-11-23 01:29:34,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1860408Z [2022-11-23 01:29:34,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1860799Z [2022-11-23 01:29:34,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1861212Z [2022-11-23 01:29:34,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1861523Z [2022-11-23 01:29:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163
2022-11-23T01:32:31.1861776Z [2022-11-23 01:29:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1862110Z [2022-11-23 01:29:34,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1862388Z [2022-11-23 01:29:34,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1862708Z [2022-11-23 01:29:34,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1863061Z [2022-11-23 01:29:34,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1863462Z [2022-11-23 01:29:34,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1863894Z [2022-11-23 01:29:34,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1864205Z [2022-11-23 01:29:34,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164
2022-11-23T01:32:31.1864479Z [2022-11-23 01:29:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1864836Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1865136Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1865473Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1865849Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1866372Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1866947Z [2022-11-23 01:29:34,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1867308Z [2022-11-23 01:29:34,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165
2022-11-23T01:32:31.1867645Z [2022-11-23 01:29:34,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1868025Z [2022-11-23 01:29:34,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1868459Z [2022-11-23 01:29:34,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1868822Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166
2022-11-23T01:32:31.1869201Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.1869624Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.1870122Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1870562Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161
2022-11-23T01:32:31.1870945Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.1871195Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1871570Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160>
2022-11-23T01:32:31.1871817Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1872055Z [2022-11-23 01:29:34,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1872314Z [2022-11-23 01:29:34,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1872558Z [2022-11-23 01:29:34,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1872753Z [2022-11-23 01:29:34,297] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1872894Z  __compiled_fn_451 <eval_with_key>.2792 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1873081Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T01:32:31.1873272Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1873463Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1873580Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T01:32:31.1873586Z 
2022-11-23T01:32:31.1873946Z [2022-11-23 01:29:34,297] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1874074Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1874174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1874270Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1874371Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1874464Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1874559Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1874644Z              12 RETURN_VALUE
2022-11-23T01:32:31.1874649Z 
2022-11-23T01:32:31.1874716Z  
2022-11-23T01:32:31.1875026Z [2022-11-23 01:29:34,297] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1875144Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_451)
2022-11-23T01:32:31.1875240Z               2 CALL_FUNCTION            0
2022-11-23T01:32:31.1875352Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1875466Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1875563Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1875647Z              10 BINARY_SUBSCR
2022-11-23T01:32:31.1875749Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1875845Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1875927Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1876034Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1876130Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1876213Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1876310Z              24 LOAD_CONST               4 (10.24)
2022-11-23T01:32:31.1876399Z              26 LOAD_CONST               5 (10)
2022-11-23T01:32:31.1876492Z              28 BUILD_TUPLE              5
2022-11-23T01:32:31.1876577Z              30 RETURN_VALUE
2022-11-23T01:32:31.1876585Z 
2022-11-23T01:32:31.1876651Z  
2022-11-23T01:32:31.1876839Z [2022-11-23 01:29:34,298] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1876915Z  - 
2022-11-23T01:32:31.1877040Z             local 'ex' EQUALS_MATCH
2022-11-23T01:32:31.1877103Z             {
2022-11-23T01:32:31.1877274Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.1877591Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2', '___check_type_id(ex[0], 94768292480384)', '___check_type_id(ex[1], 94768292480384)', 'ex == (1024, 100)'],
2022-11-23T01:32:31.1877717Z                 'obj_weakref': None
2022-11-23T01:32:31.1877944Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1878016Z             }
2022-11-23T01:32:31.1878084Z             
2022-11-23T01:32:31.1878161Z  - 
2022-11-23T01:32:31.1878290Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:31.1878360Z             {
2022-11-23T01:32:31.1878511Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1878704Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 1024'],
2022-11-23T01:32:31.1878832Z                 'obj_weakref': None
2022-11-23T01:32:31.1879055Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1879127Z             }
2022-11-23T01:32:31.1879189Z             
2022-11-23T01:32:31.1879265Z  - 
2022-11-23T01:32:31.1879399Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:31.1879468Z             {
2022-11-23T01:32:31.1879616Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1879807Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 100'],
2022-11-23T01:32:31.1879929Z                 'obj_weakref': None
2022-11-23T01:32:31.1880174Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1880266Z             }
2022-11-23T01:32:31.1880335Z             
2022-11-23T01:32:31.1880413Z  - 
2022-11-23T01:32:31.1880548Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1880618Z             {
2022-11-23T01:32:31.1880759Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1880925Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1881047Z                 'obj_weakref': None
2022-11-23T01:32:31.1881278Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1881348Z             }
2022-11-23T01:32:31.1881419Z             
2022-11-23T01:32:31.1881494Z  - 
2022-11-23T01:32:31.1881620Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1881683Z             {
2022-11-23T01:32:31.1881829Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1882049Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1882177Z                 'obj_weakref': None
2022-11-23T01:32:31.1882400Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1882469Z             }
2022-11-23T01:32:31.1882539Z             
2022-11-23T01:32:31.1882607Z  - 
2022-11-23T01:32:31.1882742Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1882813Z             {
2022-11-23T01:32:31.1882937Z                 'guard_types': None,
2022-11-23T01:32:31.1883049Z                 'code': None,
2022-11-23T01:32:31.1883171Z                 'obj_weakref': None
2022-11-23T01:32:31.1883296Z                 'guarded_class': None
2022-11-23T01:32:31.1883358Z             }
2022-11-23T01:32:31.1883426Z             
2022-11-23T01:32:31.1883689Z [2022-11-23 01:29:34,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441
2022-11-23T01:32:31.1884053Z [2022-11-23 01:29:34,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbigmpa7zcag2ab5lo744npbeoforj4skm53zin6jyqihwosal7.py
2022-11-23T01:32:31.1884322Z [2022-11-23 01:29:34,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441
2022-11-23T01:32:31.1884561Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1884880Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1885102Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1885352Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1885630Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1885954Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1893084Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1893453Z [2022-11-23 01:29:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1893832Z [2022-11-23 01:29:34,315] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160> 
2022-11-23T01:32:31.1893937Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1894037Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1894138Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1894298Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1894402Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.1894622Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1894724Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1894730Z 
2022-11-23T01:32:31.1894834Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1894934Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1895031Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1895127Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1895268Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.1895433Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1895532Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1895538Z 
2022-11-23T01:32:31.1895638Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.1895737Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.1895837Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1895935Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1896083Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.1896241Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.1896341Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.1896346Z 
2022-11-23T01:32:31.1896441Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1896535Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1896626Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.1896631Z 
2022-11-23T01:32:31.1896726Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1896819Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1896904Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.1896916Z 
2022-11-23T01:32:31.1897008Z 1161          54 BUILD_TUPLE              5
2022-11-23T01:32:31.1897091Z               56 RETURN_VALUE
2022-11-23T01:32:31.1897161Z  
2022-11-23T01:32:31.1897166Z 
2022-11-23T01:32:31.1897484Z [2022-11-23 01:29:34,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162
2022-11-23T01:32:31.1897707Z [2022-11-23 01:29:34,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.1898009Z [2022-11-23 01:29:34,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1898262Z [2022-11-23 01:29:34,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.1898549Z [2022-11-23 01:29:34,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1899315Z [2022-11-23 01:29:34,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1899712Z [2022-11-23 01:29:34,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:31.1900132Z [2022-11-23 01:29:34,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.1900453Z [2022-11-23 01:29:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163
2022-11-23T01:32:31.1900705Z [2022-11-23 01:29:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.1901147Z [2022-11-23 01:29:34,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1901457Z [2022-11-23 01:29:34,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1901772Z [2022-11-23 01:29:34,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1902128Z [2022-11-23 01:29:34,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1902538Z [2022-11-23 01:29:34,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1902977Z [2022-11-23 01:29:34,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1903295Z [2022-11-23 01:29:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164
2022-11-23T01:32:31.1903575Z [2022-11-23 01:29:34,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1903926Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.1904234Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.1904577Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:31.1904965Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1905406Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.1905869Z [2022-11-23 01:29:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.1906189Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165
2022-11-23T01:32:31.1906489Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1906819Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.1907202Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1907518Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166
2022-11-23T01:32:31.1907849Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.1908245Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.1908698Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.1909006Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161
2022-11-23T01:32:31.1909379Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.1909630Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1910004Z [2022-11-23 01:29:34,336] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160>
2022-11-23T01:32:31.1910356Z [2022-11-23 01:29:34,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1910636Z [2022-11-23 01:29:34,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1910896Z [2022-11-23 01:29:34,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1911155Z [2022-11-23 01:29:34,341] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1911349Z [2022-11-23 01:29:34,341] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1911493Z  __compiled_fn_452 <eval_with_key>.2798 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1911674Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T01:32:31.1911869Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.1912062Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.1912181Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T01:32:31.1912187Z 
2022-11-23T01:32:31.1912519Z [2022-11-23 01:29:34,342] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1912621Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1912719Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1912814Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1912907Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1912999Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1913094Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1913176Z              12 RETURN_VALUE
2022-11-23T01:32:31.1913181Z 
2022-11-23T01:32:31.1913247Z  
2022-11-23T01:32:31.1913569Z [2022-11-23 01:29:34,342] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1913689Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_452)
2022-11-23T01:32:31.1913775Z               2 CALL_FUNCTION            0
2022-11-23T01:32:31.1913891Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1914005Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1914102Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1914186Z              10 BINARY_SUBSCR
2022-11-23T01:32:31.1914297Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1914393Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1914476Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.1914576Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1914672Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.1914754Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1914889Z              24 LOAD_CONST               4 (10.24)
2022-11-23T01:32:31.1915047Z              26 LOAD_CONST               5 (10)
2022-11-23T01:32:31.1915142Z              28 BUILD_TUPLE              5
2022-11-23T01:32:31.1915224Z              30 RETURN_VALUE
2022-11-23T01:32:31.1915229Z 
2022-11-23T01:32:31.1915288Z  
2022-11-23T01:32:31.1915478Z [2022-11-23 01:29:34,343] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1915554Z  - 
2022-11-23T01:32:31.1915681Z             local 'ex' EQUALS_MATCH
2022-11-23T01:32:31.1915753Z             {
2022-11-23T01:32:31.1915928Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.1916245Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2', '___check_type_id(ex[0], 94768292480384)', '___check_type_id(ex[1], 94768292480384)', 'ex == (1024, 100)'],
2022-11-23T01:32:31.1916362Z                 'obj_weakref': None
2022-11-23T01:32:31.1916593Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1916666Z             }
2022-11-23T01:32:31.1916733Z             
2022-11-23T01:32:31.1916811Z  - 
2022-11-23T01:32:31.1916946Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:31.1917016Z             {
2022-11-23T01:32:31.1917155Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1917349Z                 'code': ['___check_type_id(ex[0], 94768292480384)', 'ex[0] == 1024'],
2022-11-23T01:32:31.1917471Z                 'obj_weakref': None
2022-11-23T01:32:31.1917696Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1917765Z             }
2022-11-23T01:32:31.1917833Z             
2022-11-23T01:32:31.1917909Z  - 
2022-11-23T01:32:31.1918038Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:31.1918108Z             {
2022-11-23T01:32:31.1918255Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.1918448Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 100'],
2022-11-23T01:32:31.1918573Z                 'obj_weakref': None
2022-11-23T01:32:31.1918791Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.1918864Z             }
2022-11-23T01:32:31.1918926Z             
2022-11-23T01:32:31.1919001Z  - 
2022-11-23T01:32:31.1919136Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1919206Z             {
2022-11-23T01:32:31.1919349Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1919522Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1919644Z                 'obj_weakref': None
2022-11-23T01:32:31.1919865Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1919936Z             }
2022-11-23T01:32:31.1920004Z             
2022-11-23T01:32:31.1920080Z  - 
2022-11-23T01:32:31.1920208Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1920280Z             {
2022-11-23T01:32:31.1920424Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1920633Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1920758Z                 'obj_weakref': None
2022-11-23T01:32:31.1920979Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1921049Z             }
2022-11-23T01:32:31.1921118Z             
2022-11-23T01:32:31.1921193Z  - 
2022-11-23T01:32:31.1921328Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.1921391Z             {
2022-11-23T01:32:31.1921516Z                 'guard_types': None,
2022-11-23T01:32:31.1921628Z                 'code': None,
2022-11-23T01:32:31.1921750Z                 'obj_weakref': None
2022-11-23T01:32:31.1921875Z                 'guarded_class': None
2022-11-23T01:32:31.1921950Z             }
2022-11-23T01:32:31.1922022Z             
2022-11-23T01:32:31.1922357Z [2022-11-23 01:29:34,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442
2022-11-23T01:32:31.1922740Z [2022-11-23 01:29:34,355] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbigmpa7zcag2ab5lo744npbeoforj4skm53zin6jyqihwosal7.py
2022-11-23T01:32:31.1923010Z [2022-11-23 01:29:34,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442
2022-11-23T01:32:31.1923016Z 
2022-11-23T01:32:31.1923118Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1923193Z import torch
2022-11-23T01:32:31.1923269Z import random
2022-11-23T01:32:31.1923393Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1923521Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1923526Z 
2022-11-23T01:32:31.1923602Z aten = torch.ops.aten
2022-11-23T01:32:31.1923745Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1923846Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1923852Z 
2022-11-23T01:32:31.1923930Z import triton
2022-11-23T01:32:31.1924024Z import triton.language as tl
2022-11-23T01:32:31.1924153Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1924297Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1924303Z 
2022-11-23T01:32:31.1924307Z 
2022-11-23T01:32:31.1924447Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:31.1924651Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.1924774Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T01:32:31.1924876Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:31.1924977Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:31.1925044Z {
2022-11-23T01:32:31.1925112Z     {
2022-11-23T01:32:31.1925182Z         {
2022-11-23T01:32:31.1925284Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1925396Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1925492Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.1925577Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:31.1925645Z         }
2022-11-23T01:32:31.1925712Z     }
2022-11-23T01:32:31.1925778Z     {
2022-11-23T01:32:31.1925839Z         {
2022-11-23T01:32:31.1925945Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1926051Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1926293Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T01:32:31.1926377Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:31.1926445Z         }
2022-11-23T01:32:31.1926512Z     }
2022-11-23T01:32:31.1926572Z     {
2022-11-23T01:32:31.1926638Z         {
2022-11-23T01:32:31.1926744Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1926850Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1926942Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.1927029Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:31.1927098Z         }
2022-11-23T01:32:31.1927157Z     }
2022-11-23T01:32:31.1927224Z }
2022-11-23T01:32:31.1927311Z ''')
2022-11-23T01:32:31.1927316Z 
2022-11-23T01:32:31.1927321Z 
2022-11-23T01:32:31.1927416Z async_compile.wait(globals())
2022-11-23T01:32:31.1927496Z del async_compile
2022-11-23T01:32:31.1927501Z 
2022-11-23T01:32:31.1927578Z def call(args):
2022-11-23T01:32:31.1927764Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1927939Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1928118Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1928287Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:31.1928377Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.1928381Z 
2022-11-23T01:32:31.1928386Z 
2022-11-23T01:32:31.1928497Z if __name__ == "__main__":
2022-11-23T01:32:31.1928636Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1928766Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1928872Z     print_performance(lambda: call([]))
2022-11-23T01:32:31.1928878Z 
2022-11-23T01:32:31.1928882Z 
2022-11-23T01:32:31.1928983Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.1929051Z import torch
2022-11-23T01:32:31.1929129Z import random
2022-11-23T01:32:31.1929251Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.1929378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.1929383Z 
2022-11-23T01:32:31.1929466Z aten = torch.ops.aten
2022-11-23T01:32:31.1929607Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.1929706Z async_compile = AsyncCompile()
2022-11-23T01:32:31.1929710Z 
2022-11-23T01:32:31.1929779Z import triton
2022-11-23T01:32:31.1929874Z import triton.language as tl
2022-11-23T01:32:31.1930006Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.1930150Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.1930155Z 
2022-11-23T01:32:31.1930160Z 
2022-11-23T01:32:31.1930300Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:31.1930510Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.1930629Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T01:32:31.1930731Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:31.1930824Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:31.1930890Z {
2022-11-23T01:32:31.1930957Z     {
2022-11-23T01:32:31.1931026Z         {
2022-11-23T01:32:31.1931134Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1931243Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1931336Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.1931417Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:31.1931491Z         }
2022-11-23T01:32:31.1931558Z     }
2022-11-23T01:32:31.1931625Z     {
2022-11-23T01:32:31.1931695Z         {
2022-11-23T01:32:31.1931807Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1931905Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1932147Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T01:32:31.1932233Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:31.1932302Z         }
2022-11-23T01:32:31.1932372Z     }
2022-11-23T01:32:31.1932440Z     {
2022-11-23T01:32:31.1932510Z         {
2022-11-23T01:32:31.1932610Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:31.1932715Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:31.1932807Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.1932891Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:31.1932960Z         }
2022-11-23T01:32:31.1933030Z     }
2022-11-23T01:32:31.1933097Z }
2022-11-23T01:32:31.1933178Z ''')
2022-11-23T01:32:31.1933183Z 
2022-11-23T01:32:31.1933188Z 
2022-11-23T01:32:31.1933285Z async_compile.wait(globals())
2022-11-23T01:32:31.1933364Z del async_compile
2022-11-23T01:32:31.1933369Z 
2022-11-23T01:32:31.1933446Z def call(args):
2022-11-23T01:32:31.1933632Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1933814Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1933995Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:31.1934166Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:31.1934248Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.1934253Z 
2022-11-23T01:32:31.1934257Z 
2022-11-23T01:32:31.1934339Z if __name__ == "__main__":
2022-11-23T01:32:31.1934459Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.1934615Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.1934764Z     print_performance(lambda: call([]))
2022-11-23T01:32:31.1934770Z 
2022-11-23T01:32:31.1934842Z ok (0.089s)
2022-11-23T01:32:31.1935156Z   test_div_prim_cuda (__main__.CudaTests) ... [2022-11-23 01:29:34,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1935474Z [2022-11-23 01:29:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1935687Z [2022-11-23 01:29:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1935946Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1936223Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1936542Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1936888Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1937207Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1937579Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:31.1937684Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1937785Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1937888Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:31.1937982Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:31.1938080Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1938179Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1938274Z               12 CALL_METHOD              2
2022-11-23T01:32:31.1938372Z               14 BUILD_TUPLE              1
2022-11-23T01:32:31.1938455Z               16 RETURN_VALUE
2022-11-23T01:32:31.1938521Z  
2022-11-23T01:32:31.1938526Z 
2022-11-23T01:32:31.1939087Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:31.1939316Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1939677Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1939978Z [2022-11-23 01:29:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1940289Z [2022-11-23 01:29:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:31.1940548Z [2022-11-23 01:29:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:31.1940833Z [2022-11-23 01:29:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:31.1941148Z [2022-11-23 01:29:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1941395Z [2022-11-23 01:29:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.1941740Z [2022-11-23 01:29:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1942123Z [2022-11-23 01:29:34,368] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:31.1942418Z [2022-11-23 01:29:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1942662Z [2022-11-23 01:29:34,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1942923Z [2022-11-23 01:29:34,369] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1943174Z [2022-11-23 01:29:34,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1943368Z [2022-11-23 01:29:34,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1943511Z  __compiled_fn_453 <eval_with_key>.2804 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1943613Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1943709Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1943817Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1943918Z output, output, output, ((div,),), {}
2022-11-23T01:32:31.1943924Z 
2022-11-23T01:32:31.1944250Z [2022-11-23 01:29:34,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1944350Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1944447Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1944541Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1944644Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1944737Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1944825Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1944907Z              12 RETURN_VALUE
2022-11-23T01:32:31.1944912Z 
2022-11-23T01:32:31.1944985Z  
2022-11-23T01:32:31.1945308Z [2022-11-23 01:29:34,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1945430Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_453)
2022-11-23T01:32:31.1945527Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1945624Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1945707Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1945796Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1945891Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1945973Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1946068Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1946180Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1946290Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1946388Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1946463Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1946563Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.1946645Z              26 RETURN_VALUE
2022-11-23T01:32:31.1946650Z 
2022-11-23T01:32:31.1946715Z  
2022-11-23T01:32:31.1946903Z [2022-11-23 01:29:34,372] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1946983Z  - 
2022-11-23T01:32:31.1947107Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1947169Z             {
2022-11-23T01:32:31.1947317Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1947511Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1947636Z                 'obj_weakref': None
2022-11-23T01:32:31.1947862Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1947933Z             }
2022-11-23T01:32:31.1948003Z             
2022-11-23T01:32:31.1948072Z  - 
2022-11-23T01:32:31.1948237Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1948329Z             {
2022-11-23T01:32:31.1948477Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1948592Z                 'code': None,
2022-11-23T01:32:31.1948808Z                 'obj_weakref': <weakref at 0x7f1fead72ac0; to 'Tensor' at 0x7f2151eee2f0>
2022-11-23T01:32:31.1949058Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1949121Z             }
2022-11-23T01:32:31.1949191Z             
2022-11-23T01:32:31.1949271Z  - 
2022-11-23T01:32:31.1949400Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1949470Z             {
2022-11-23T01:32:31.1949619Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1949733Z                 'code': None,
2022-11-23T01:32:31.1949938Z                 'obj_weakref': <weakref at 0x7f1fead70860; to 'Tensor' at 0x7f2151eec540>
2022-11-23T01:32:31.1950195Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1950353Z             }
2022-11-23T01:32:31.1950438Z             
2022-11-23T01:32:31.1950529Z  - 
2022-11-23T01:32:31.1950688Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1950770Z             {
2022-11-23T01:32:31.1950922Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1951174Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1951304Z                 'obj_weakref': None
2022-11-23T01:32:31.1951536Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1951606Z             }
2022-11-23T01:32:31.1951675Z             
2022-11-23T01:32:31.1951751Z  - 
2022-11-23T01:32:31.1951870Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1951939Z             {
2022-11-23T01:32:31.1952084Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1952309Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1952437Z                 'obj_weakref': None
2022-11-23T01:32:31.1952663Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1952732Z             }
2022-11-23T01:32:31.1952793Z             
2022-11-23T01:32:31.1952869Z  - 
2022-11-23T01:32:31.1953007Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.1953080Z             {
2022-11-23T01:32:31.1953206Z                 'guard_types': None,
2022-11-23T01:32:31.1953318Z                 'code': None,
2022-11-23T01:32:31.1953442Z                 'obj_weakref': None
2022-11-23T01:32:31.1953561Z                 'guarded_class': None
2022-11-23T01:32:31.1953630Z             }
2022-11-23T01:32:31.1953697Z             
2022-11-23T01:32:31.1953959Z [2022-11-23 01:29:34,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443
2022-11-23T01:32:31.1954218Z [2022-11-23 01:29:34,379] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.1954584Z [2022-11-23 01:29:34,539] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b6/cb6mu3fimxql43f2ftb7femh4xghyq5gy3k3klraqvhldozzsuhk.py
2022-11-23T01:32:31.1954856Z [2022-11-23 01:29:34,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443
2022-11-23T01:32:31.1955099Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1955411Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1955635Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1955895Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1956213Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1956556Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1956904Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1957227Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1957604Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:31.1957709Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1957813Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1957911Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:31.1958011Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:31.1958110Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1958207Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1958302Z               12 CALL_METHOD              2
2022-11-23T01:32:31.1958399Z               14 BUILD_TUPLE              1
2022-11-23T01:32:31.1958482Z               16 RETURN_VALUE
2022-11-23T01:32:31.1958541Z  
2022-11-23T01:32:31.1958547Z 
2022-11-23T01:32:31.1958863Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:31.1959089Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1959458Z [2022-11-23 01:29:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1959761Z [2022-11-23 01:29:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1960076Z [2022-11-23 01:29:34,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:31.1960335Z [2022-11-23 01:29:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:31.1960621Z [2022-11-23 01:29:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:31.1960938Z [2022-11-23 01:29:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1961185Z [2022-11-23 01:29:34,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.1961432Z [2022-11-23 01:29:34,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1961812Z [2022-11-23 01:29:34,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:31.1962063Z [2022-11-23 01:29:34,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1962305Z [2022-11-23 01:29:34,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1962566Z [2022-11-23 01:29:34,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1962822Z [2022-11-23 01:29:34,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1963052Z [2022-11-23 01:29:34,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1963218Z  __compiled_fn_454 <eval_with_key>.2810 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1963316Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1963402Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1963518Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1963621Z output, output, output, ((div,),), {}
2022-11-23T01:32:31.1963626Z 
2022-11-23T01:32:31.1963959Z [2022-11-23 01:29:34,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1964060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1964158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1964256Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1964361Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1964449Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1964544Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1964632Z              12 RETURN_VALUE
2022-11-23T01:32:31.1964637Z 
2022-11-23T01:32:31.1964705Z  
2022-11-23T01:32:31.1965031Z [2022-11-23 01:29:34,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1965150Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_454)
2022-11-23T01:32:31.1965247Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1965338Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1965422Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1965517Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1965612Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1965694Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1965789Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1965905Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1966018Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1966108Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1966190Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1966285Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.1966366Z              26 RETURN_VALUE
2022-11-23T01:32:31.1966372Z 
2022-11-23T01:32:31.1966438Z  
2022-11-23T01:32:31.1966628Z [2022-11-23 01:29:34,556] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1966704Z  - 
2022-11-23T01:32:31.1966823Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1966893Z             {
2022-11-23T01:32:31.1967039Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1967235Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1967360Z                 'obj_weakref': None
2022-11-23T01:32:31.1967589Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1967662Z             }
2022-11-23T01:32:31.1967724Z             
2022-11-23T01:32:31.1967801Z  - 
2022-11-23T01:32:31.1967933Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1968002Z             {
2022-11-23T01:32:31.1968152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1968267Z                 'code': None,
2022-11-23T01:32:31.1968483Z                 'obj_weakref': <weakref at 0x7f2072847420; to 'Tensor' at 0x7f1fd9b75b20>
2022-11-23T01:32:31.1968730Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1968801Z             }
2022-11-23T01:32:31.1968869Z             
2022-11-23T01:32:31.1968945Z  - 
2022-11-23T01:32:31.1969074Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1969143Z             {
2022-11-23T01:32:31.1969292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1969436Z                 'code': None,
2022-11-23T01:32:31.1969648Z                 'obj_weakref': <weakref at 0x7f2072844e00; to 'Tensor' at 0x7f2072857c90>
2022-11-23T01:32:31.1969927Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1969998Z             }
2022-11-23T01:32:31.1970066Z             
2022-11-23T01:32:31.1970144Z  - 
2022-11-23T01:32:31.1970282Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1970344Z             {
2022-11-23T01:32:31.1970485Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1970660Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1970788Z                 'obj_weakref': None
2022-11-23T01:32:31.1971021Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1971091Z             }
2022-11-23T01:32:31.1971159Z             
2022-11-23T01:32:31.1971227Z  - 
2022-11-23T01:32:31.1971360Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1971431Z             {
2022-11-23T01:32:31.1971573Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1971793Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1971918Z                 'obj_weakref': None
2022-11-23T01:32:31.1972147Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1972209Z             }
2022-11-23T01:32:31.1972278Z             
2022-11-23T01:32:31.1972353Z  - 
2022-11-23T01:32:31.1972492Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.1972562Z             {
2022-11-23T01:32:31.1972689Z                 'guard_types': None,
2022-11-23T01:32:31.1972801Z                 'code': None,
2022-11-23T01:32:31.1972918Z                 'obj_weakref': None
2022-11-23T01:32:31.1973044Z                 'guarded_class': None
2022-11-23T01:32:31.1973114Z             }
2022-11-23T01:32:31.1973186Z             
2022-11-23T01:32:31.1973451Z [2022-11-23 01:29:34,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444
2022-11-23T01:32:31.1973706Z [2022-11-23 01:29:34,563] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.1974078Z [2022-11-23 01:29:34,626] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ja/cja3ltbeekmm2egcp6fnxyunw3kx26bj26infelhdyprodcdvkqp.py
2022-11-23T01:32:31.1974337Z [2022-11-23 01:29:34,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444
2022-11-23T01:32:31.1974577Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1974892Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1975118Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1975373Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1975650Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1975966Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1976311Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1976630Z [2022-11-23 01:29:34,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1977032Z [2022-11-23 01:29:34,631] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:31.1977167Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1977260Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1977367Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:31.1977469Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:31.1977566Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1977664Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1977759Z               12 CALL_METHOD              2
2022-11-23T01:32:31.1977856Z               14 BUILD_TUPLE              1
2022-11-23T01:32:31.1977931Z               16 RETURN_VALUE
2022-11-23T01:32:31.1977998Z  
2022-11-23T01:32:31.1978003Z 
2022-11-23T01:32:31.1978322Z [2022-11-23 01:29:34,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:31.1978548Z [2022-11-23 01:29:34,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1979349Z [2022-11-23 01:29:34,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1979655Z [2022-11-23 01:29:34,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1979962Z [2022-11-23 01:29:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:31.1980216Z [2022-11-23 01:29:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:31.1980495Z [2022-11-23 01:29:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:31.1980802Z [2022-11-23 01:29:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.1981047Z [2022-11-23 01:29:34,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.1981303Z [2022-11-23 01:29:34,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1981684Z [2022-11-23 01:29:34,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:31.1981932Z [2022-11-23 01:29:34,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.1982169Z [2022-11-23 01:29:34,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.1982428Z [2022-11-23 01:29:34,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.1982680Z [2022-11-23 01:29:34,643] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.1982875Z [2022-11-23 01:29:34,643] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.1983018Z  __compiled_fn_455 <eval_with_key>.2816 opcode, name, target, args, kwargs
2022-11-23T01:32:31.1983107Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.1983200Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.1983315Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.1983420Z output, output, output, ((div,),), {}
2022-11-23T01:32:31.1983425Z 
2022-11-23T01:32:31.1983750Z [2022-11-23 01:29:34,644] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1983852Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.1983951Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1984130Z               4 BUILD_MAP                0
2022-11-23T01:32:31.1984252Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.1984346Z               8 DICT_MERGE               1
2022-11-23T01:32:31.1984445Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.1984527Z              12 RETURN_VALUE
2022-11-23T01:32:31.1984532Z 
2022-11-23T01:32:31.1984598Z  
2022-11-23T01:32:31.1984918Z [2022-11-23 01:29:34,644] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.1985038Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_455)
2022-11-23T01:32:31.1985127Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1985226Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1985309Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.1985403Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.1985499Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.1985582Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.1985679Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.1985783Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.1985893Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.1985989Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.1986070Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.1986165Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.1986247Z              26 RETURN_VALUE
2022-11-23T01:32:31.1986252Z 
2022-11-23T01:32:31.1986321Z  
2022-11-23T01:32:31.1986510Z [2022-11-23 01:29:34,644] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.1986580Z  - 
2022-11-23T01:32:31.1986706Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.1986778Z             {
2022-11-23T01:32:31.1986925Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.1987122Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.1987250Z                 'obj_weakref': None
2022-11-23T01:32:31.1987475Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.1987538Z             }
2022-11-23T01:32:31.1987610Z             
2022-11-23T01:32:31.1987686Z  - 
2022-11-23T01:32:31.1987815Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.1987885Z             {
2022-11-23T01:32:31.1988031Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1988137Z                 'code': None,
2022-11-23T01:32:31.1988355Z                 'obj_weakref': <weakref at 0x7f1fead082c0; to 'Tensor' at 0x7f2072857c90>
2022-11-23T01:32:31.1988606Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1988675Z             }
2022-11-23T01:32:31.1988744Z             
2022-11-23T01:32:31.1988821Z  - 
2022-11-23T01:32:31.1988950Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.1989020Z             {
2022-11-23T01:32:31.1989160Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.1989271Z                 'code': None,
2022-11-23T01:32:31.1989488Z                 'obj_weakref': <weakref at 0x7f1fead0b3d0; to 'Tensor' at 0x7f1fd9aab740>
2022-11-23T01:32:31.1989739Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.1989808Z             }
2022-11-23T01:32:31.1989878Z             
2022-11-23T01:32:31.1989953Z  - 
2022-11-23T01:32:31.1990083Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.1990152Z             {
2022-11-23T01:32:31.1990392Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.1990592Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.1990737Z                 'obj_weakref': None
2022-11-23T01:32:31.1991040Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.1991149Z             }
2022-11-23T01:32:31.1991211Z             
2022-11-23T01:32:31.1991288Z  - 
2022-11-23T01:32:31.1991417Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.1991488Z             {
2022-11-23T01:32:31.1991631Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.1991852Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.1991977Z                 'obj_weakref': None
2022-11-23T01:32:31.1992213Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.1992290Z             }
2022-11-23T01:32:31.1992367Z             
2022-11-23T01:32:31.1992456Z  - 
2022-11-23T01:32:31.1992595Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.1992666Z             {
2022-11-23T01:32:31.1992784Z                 'guard_types': None,
2022-11-23T01:32:31.1992898Z                 'code': None,
2022-11-23T01:32:31.1993022Z                 'obj_weakref': None
2022-11-23T01:32:31.1993151Z                 'guarded_class': None
2022-11-23T01:32:31.1993222Z             }
2022-11-23T01:32:31.1993290Z             
2022-11-23T01:32:31.1993556Z [2022-11-23 01:29:34,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445
2022-11-23T01:32:31.1993810Z [2022-11-23 01:29:34,651] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.1994168Z [2022-11-23 01:29:34,723] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/caxzfjts75ka7tlkzrkbak3xdto2uvs7fmwcd5y3wuzvohrmszgv.py
2022-11-23T01:32:31.1994439Z [2022-11-23 01:29:34,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445
2022-11-23T01:32:31.1994682Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.1995006Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.1995233Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.1995491Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.1995775Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.1996099Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1996447Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1996775Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.1997146Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:31.1997252Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.1997351Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.1997454Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:31.1997554Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:31.1997651Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.1997751Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.1997847Z               12 CALL_METHOD              2
2022-11-23T01:32:31.1997936Z               14 BUILD_TUPLE              1
2022-11-23T01:32:31.1998020Z               16 RETURN_VALUE
2022-11-23T01:32:31.1998088Z  
2022-11-23T01:32:31.1998122Z 
2022-11-23T01:32:31.1998442Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:32:31.1998688Z [2022-11-23 01:29:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.1999049Z [2022-11-23 01:29:34,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.1999347Z [2022-11-23 01:29:34,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.1999653Z [2022-11-23 01:29:34,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:31.1999907Z [2022-11-23 01:29:34,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:31.2000186Z [2022-11-23 01:29:34,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:31.2000506Z [2022-11-23 01:29:34,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2000752Z [2022-11-23 01:29:34,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.2001002Z [2022-11-23 01:29:34,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2001382Z [2022-11-23 01:29:34,735] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:31.2001632Z [2022-11-23 01:29:34,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2001877Z [2022-11-23 01:29:34,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2002139Z [2022-11-23 01:29:34,736] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2002395Z [2022-11-23 01:29:34,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2002591Z [2022-11-23 01:29:34,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2002727Z  __compiled_fn_456 <eval_with_key>.2822 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2002822Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2002916Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2003033Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2003134Z output, output, output, ((div,),), {}
2022-11-23T01:32:31.2003140Z 
2022-11-23T01:32:31.2003475Z [2022-11-23 01:29:34,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2003578Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2003669Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2003763Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2003863Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2003957Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2004051Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2004133Z              12 RETURN_VALUE
2022-11-23T01:32:31.2004139Z 
2022-11-23T01:32:31.2004204Z  
2022-11-23T01:32:31.2004529Z [2022-11-23 01:29:34,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2004641Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_456)
2022-11-23T01:32:31.2004739Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2004873Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2004959Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2005076Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2005173Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2005255Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2005342Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2005455Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2005564Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2005661Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2005743Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2005838Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.2005920Z              26 RETURN_VALUE
2022-11-23T01:32:31.2005926Z 
2022-11-23T01:32:31.2005991Z  
2022-11-23T01:32:31.2006174Z [2022-11-23 01:29:34,740] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2006250Z  - 
2022-11-23T01:32:31.2006380Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2006452Z             {
2022-11-23T01:32:31.2006599Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2006793Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2006919Z                 'obj_weakref': None
2022-11-23T01:32:31.2007139Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2007208Z             }
2022-11-23T01:32:31.2007276Z             
2022-11-23T01:32:31.2007352Z  - 
2022-11-23T01:32:31.2007484Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2007553Z             {
2022-11-23T01:32:31.2007695Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2007809Z                 'code': None,
2022-11-23T01:32:31.2008029Z                 'obj_weakref': <weakref at 0x7f1fead082c0; to 'Tensor' at 0x7f2072857c90>
2022-11-23T01:32:31.2008287Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2008359Z             }
2022-11-23T01:32:31.2008428Z             
2022-11-23T01:32:31.2008509Z  - 
2022-11-23T01:32:31.2008630Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2008701Z             {
2022-11-23T01:32:31.2008851Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2008963Z                 'code': None,
2022-11-23T01:32:31.2009182Z                 'obj_weakref': <weakref at 0x7f1fead0b3d0; to 'Tensor' at 0x7f1fd9aab740>
2022-11-23T01:32:31.2009438Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2009508Z             }
2022-11-23T01:32:31.2009577Z             
2022-11-23T01:32:31.2009646Z  - 
2022-11-23T01:32:31.2009782Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2009852Z             {
2022-11-23T01:32:31.2009992Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2010171Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2010299Z                 'obj_weakref': None
2022-11-23T01:32:31.2010531Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2010593Z             }
2022-11-23T01:32:31.2010661Z             
2022-11-23T01:32:31.2010736Z  - 
2022-11-23T01:32:31.2010863Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2010932Z             {
2022-11-23T01:32:31.2011074Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2011288Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2011413Z                 'obj_weakref': None
2022-11-23T01:32:31.2011639Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2011709Z             }
2022-11-23T01:32:31.2011778Z             
2022-11-23T01:32:31.2011853Z  - 
2022-11-23T01:32:31.2012026Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2012107Z             {
2022-11-23T01:32:31.2012245Z                 'guard_types': None,
2022-11-23T01:32:31.2012374Z                 'code': None,
2022-11-23T01:32:31.2012522Z                 'obj_weakref': None
2022-11-23T01:32:31.2012648Z                 'guarded_class': None
2022-11-23T01:32:31.2012717Z             }
2022-11-23T01:32:31.2012786Z             
2022-11-23T01:32:31.2013046Z [2022-11-23 01:29:34,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446
2022-11-23T01:32:31.2013301Z [2022-11-23 01:29:34,747] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2013307Z 
2022-11-23T01:32:31.2013409Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2013486Z import torch
2022-11-23T01:32:31.2013561Z import random
2022-11-23T01:32:31.2013683Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2013813Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2013819Z 
2022-11-23T01:32:31.2013906Z aten = torch.ops.aten
2022-11-23T01:32:31.2014040Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2014139Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2014144Z 
2022-11-23T01:32:31.2014219Z import triton
2022-11-23T01:32:31.2014316Z import triton.language as tl
2022-11-23T01:32:31.2014445Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2014588Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2014593Z 
2022-11-23T01:32:31.2014598Z 
2022-11-23T01:32:31.2014757Z triton_fused_div0 = async_compile.triton('''
2022-11-23T01:32:31.2014833Z import triton
2022-11-23T01:32:31.2014919Z import triton.language as tl
2022-11-23T01:32:31.2015035Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2015140Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2015278Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2015408Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2015416Z 
2022-11-23T01:32:31.2015811Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2015886Z @triton.jit
2022-11-23T01:32:31.2016032Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2016101Z     xnumel = 100
2022-11-23T01:32:31.2016201Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2016334Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2016419Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2016492Z     x0 = xindex
2022-11-23T01:32:31.2016591Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2016691Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2016765Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2016907Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2017001Z ''')
2022-11-23T01:32:31.2017006Z 
2022-11-23T01:32:31.2017011Z 
2022-11-23T01:32:31.2017104Z async_compile.wait(globals())
2022-11-23T01:32:31.2017184Z del async_compile
2022-11-23T01:32:31.2017190Z 
2022-11-23T01:32:31.2017265Z def call(args):
2022-11-23T01:32:31.2017345Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2017415Z     args.clear()
2022-11-23T01:32:31.2017615Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2017711Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2017859Z     triton_fused_div0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.2017933Z     del arg0_1
2022-11-23T01:32:31.2018005Z     del arg1_1
2022-11-23T01:32:31.2018083Z     return (buf0, )
2022-11-23T01:32:31.2018089Z 
2022-11-23T01:32:31.2018093Z 
2022-11-23T01:32:31.2018178Z if __name__ == "__main__":
2022-11-23T01:32:31.2018329Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2018481Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2018684Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2019292Z     arg1_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2019419Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2019424Z 
2022-11-23T01:32:31.2019428Z 
2022-11-23T01:32:31.2019529Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2019604Z import torch
2022-11-23T01:32:31.2019679Z import random
2022-11-23T01:32:31.2019794Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2019921Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2019926Z 
2022-11-23T01:32:31.2020010Z aten = torch.ops.aten
2022-11-23T01:32:31.2020150Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2020253Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2020260Z 
2022-11-23T01:32:31.2020337Z import triton
2022-11-23T01:32:31.2020431Z import triton.language as tl
2022-11-23T01:32:31.2020552Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2020696Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2020702Z 
2022-11-23T01:32:31.2020706Z 
2022-11-23T01:32:31.2020866Z triton_fused_div0 = async_compile.triton('''
2022-11-23T01:32:31.2020943Z import triton
2022-11-23T01:32:31.2021037Z import triton.language as tl
2022-11-23T01:32:31.2021154Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2021258Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2021396Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2021519Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2021524Z 
2022-11-23T01:32:31.2021915Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2021991Z @triton.jit
2022-11-23T01:32:31.2022136Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2022215Z     xnumel = 100
2022-11-23T01:32:31.2022314Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2022447Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2022531Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2022597Z     x0 = xindex
2022-11-23T01:32:31.2022716Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2022836Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2022916Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2023055Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2023143Z ''')
2022-11-23T01:32:31.2023149Z 
2022-11-23T01:32:31.2023153Z 
2022-11-23T01:32:31.2023249Z async_compile.wait(globals())
2022-11-23T01:32:31.2023322Z del async_compile
2022-11-23T01:32:31.2023335Z 
2022-11-23T01:32:31.2023403Z def call(args):
2022-11-23T01:32:31.2023485Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2023562Z     args.clear()
2022-11-23T01:32:31.2023759Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2023850Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2023998Z     triton_fused_div0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.2024072Z     del arg0_1
2022-11-23T01:32:31.2024138Z     del arg1_1
2022-11-23T01:32:31.2024215Z     return (buf0, )
2022-11-23T01:32:31.2024220Z 
2022-11-23T01:32:31.2024224Z 
2022-11-23T01:32:31.2024305Z if __name__ == "__main__":
2022-11-23T01:32:31.2024424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2024555Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2024886Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2025135Z     arg1_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2025256Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2025269Z 
2022-11-23T01:32:31.2025274Z 
2022-11-23T01:32:31.2025370Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2025447Z import torch
2022-11-23T01:32:31.2025523Z import random
2022-11-23T01:32:31.2025651Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2025787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2025792Z 
2022-11-23T01:32:31.2025877Z aten = torch.ops.aten
2022-11-23T01:32:31.2026025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2026119Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2026131Z 
2022-11-23T01:32:31.2026200Z import triton
2022-11-23T01:32:31.2026299Z import triton.language as tl
2022-11-23T01:32:31.2026440Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2026596Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2026602Z 
2022-11-23T01:32:31.2026606Z 
2022-11-23T01:32:31.2026776Z triton_fused_div0 = async_compile.triton('''
2022-11-23T01:32:31.2026852Z import triton
2022-11-23T01:32:31.2026951Z import triton.language as tl
2022-11-23T01:32:31.2027065Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2027175Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2027320Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2027457Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2027462Z 
2022-11-23T01:32:31.2027907Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2027981Z @triton.jit
2022-11-23T01:32:31.2028133Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2028212Z     xnumel = 100
2022-11-23T01:32:31.2028304Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2028437Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2028522Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2028594Z     x0 = xindex
2022-11-23T01:32:31.2028693Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2028792Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2028875Z     tmp2 = tmp0 // tmp1
2022-11-23T01:32:31.2029005Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2029092Z ''')
2022-11-23T01:32:31.2029098Z 
2022-11-23T01:32:31.2029102Z 
2022-11-23T01:32:31.2029197Z async_compile.wait(globals())
2022-11-23T01:32:31.2029273Z del async_compile
2022-11-23T01:32:31.2029279Z 
2022-11-23T01:32:31.2029355Z def call(args):
2022-11-23T01:32:31.2029436Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2029515Z     args.clear()
2022-11-23T01:32:31.2029711Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2029798Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2029944Z     triton_fused_div0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.2030021Z     del arg0_1
2022-11-23T01:32:31.2030094Z     del arg1_1
2022-11-23T01:32:31.2030171Z     return (buf0, )
2022-11-23T01:32:31.2030176Z 
2022-11-23T01:32:31.2030181Z 
2022-11-23T01:32:31.2030367Z if __name__ == "__main__":
2022-11-23T01:32:31.2030503Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2030642Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2030864Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2031536Z     arg1_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2031734Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2031740Z 
2022-11-23T01:32:31.2032125Z [2022-11-23 01:29:34,749] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/caxzfjts75ka7tlkzrkbak3xdto2uvs7fmwcd5y3wuzvohrmszgv.py
2022-11-23T01:32:31.2032397Z [2022-11-23 01:29:34,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446
2022-11-23T01:32:31.2032402Z 
2022-11-23T01:32:31.2032503Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2032578Z import torch
2022-11-23T01:32:31.2032654Z import random
2022-11-23T01:32:31.2032768Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2032893Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2032899Z 
2022-11-23T01:32:31.2032982Z aten = torch.ops.aten
2022-11-23T01:32:31.2033120Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2033217Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2033222Z 
2022-11-23T01:32:31.2033299Z import triton
2022-11-23T01:32:31.2033394Z import triton.language as tl
2022-11-23T01:32:31.2033517Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2033659Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2033664Z 
2022-11-23T01:32:31.2033668Z 
2022-11-23T01:32:31.2033825Z triton_fused_div0 = async_compile.triton('''
2022-11-23T01:32:31.2033901Z import triton
2022-11-23T01:32:31.2033996Z import triton.language as tl
2022-11-23T01:32:31.2034111Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2034214Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2034351Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2034472Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2034478Z 
2022-11-23T01:32:31.2034854Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2034933Z @triton.jit
2022-11-23T01:32:31.2035077Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2035154Z     xnumel = 100
2022-11-23T01:32:31.2035253Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2035384Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2035470Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2035535Z     x0 = xindex
2022-11-23T01:32:31.2035634Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2035731Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2035813Z     tmp2 = tmp0 // tmp1
2022-11-23T01:32:31.2035950Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2036040Z ''')
2022-11-23T01:32:31.2036045Z 
2022-11-23T01:32:31.2036050Z 
2022-11-23T01:32:31.2036145Z async_compile.wait(globals())
2022-11-23T01:32:31.2036215Z del async_compile
2022-11-23T01:32:31.2036221Z 
2022-11-23T01:32:31.2036300Z def call(args):
2022-11-23T01:32:31.2036386Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2036461Z     args.clear()
2022-11-23T01:32:31.2036655Z     buf0 = empty_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2036749Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2036895Z     triton_fused_div0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.2036962Z     del arg0_1
2022-11-23T01:32:31.2037036Z     del arg1_1
2022-11-23T01:32:31.2037114Z     return (buf0, )
2022-11-23T01:32:31.2037119Z 
2022-11-23T01:32:31.2037123Z 
2022-11-23T01:32:31.2037205Z if __name__ == "__main__":
2022-11-23T01:32:31.2037324Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2037451Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2037645Z     arg0_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2037870Z     arg1_1 = rand_strided((100, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2037987Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2038031Z 
2022-11-23T01:32:31.2038104Z ok (0.394s)
2022-11-23T01:32:31.2038422Z   test_div_zero_dim_cuda (__main__.CudaTests) ... [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2038741Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2038967Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2039229Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2039513Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2039834Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2040186Z [2022-11-23 01:29:34,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2040506Z [2022-11-23 01:29:34,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2040870Z [2022-11-23 01:29:34,754] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2040974Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2041076Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2041175Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2041271Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2041374Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2041544Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2041644Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2041649Z 
2022-11-23T01:32:31.2041741Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2041839Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2041936Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2042033Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2042182Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2042375Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2042482Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2042489Z 
2022-11-23T01:32:31.2042603Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2042692Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2042790Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2042887Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2043035Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2043199Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2043299Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2043304Z 
2022-11-23T01:32:31.2043399Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2043487Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2043576Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2043581Z 
2022-11-23T01:32:31.2043676Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2043772Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2043864Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2043869Z 
2022-11-23T01:32:31.2043966Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2044078Z               56 RETURN_VALUE
2022-11-23T01:32:31.2044165Z  
2022-11-23T01:32:31.2044171Z 
2022-11-23T01:32:31.2044484Z [2022-11-23 01:29:34,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2044705Z [2022-11-23 01:29:34,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2045009Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2045262Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2045536Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2045845Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2046217Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2046613Z [2022-11-23 01:29:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2046924Z [2022-11-23 01:29:34,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2047176Z [2022-11-23 01:29:34,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2047512Z [2022-11-23 01:29:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2047786Z [2022-11-23 01:29:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2048093Z [2022-11-23 01:29:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2048434Z [2022-11-23 01:29:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2048825Z [2022-11-23 01:29:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2049239Z [2022-11-23 01:29:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2049554Z [2022-11-23 01:29:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2049828Z [2022-11-23 01:29:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2050182Z [2022-11-23 01:29:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2050483Z [2022-11-23 01:29:34,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2050812Z [2022-11-23 01:29:34,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2051202Z [2022-11-23 01:29:34,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2051635Z [2022-11-23 01:29:34,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2052076Z [2022-11-23 01:29:34,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2052407Z [2022-11-23 01:29:34,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2052726Z [2022-11-23 01:29:34,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2053056Z [2022-11-23 01:29:34,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2053425Z [2022-11-23 01:29:34,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2053742Z [2022-11-23 01:29:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2054064Z [2022-11-23 01:29:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2054410Z [2022-11-23 01:29:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2054809Z [2022-11-23 01:29:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2055126Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2055478Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2055732Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2056114Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2056360Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2056603Z [2022-11-23 01:29:34,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2056867Z [2022-11-23 01:29:34,782] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2057122Z [2022-11-23 01:29:34,790] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2057319Z [2022-11-23 01:29:34,790] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2057462Z  __compiled_fn_457 <eval_with_key>.2828 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2057557Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2057650Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2057836Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2058032Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2058227Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2058458Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2058680Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2059175Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2059181Z 
2022-11-23T01:32:31.2059520Z [2022-11-23 01:29:34,791] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2059622Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2059721Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2059808Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2059909Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2060002Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2060098Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2060180Z              12 RETURN_VALUE
2022-11-23T01:32:31.2060189Z 
2022-11-23T01:32:31.2060257Z  
2022-11-23T01:32:31.2060584Z [2022-11-23 01:29:34,791] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2060694Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_457)
2022-11-23T01:32:31.2060792Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2060889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2060972Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2061068Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2061161Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2061244Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2061331Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2061445Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2061555Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2061657Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2061742Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2061851Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2061945Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2062027Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2062127Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2062224Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2062305Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2062413Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2062507Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2062588Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2062697Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2062784Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2062866Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2062963Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2063048Z              50 RETURN_VALUE
2022-11-23T01:32:31.2063054Z 
2022-11-23T01:32:31.2063120Z  
2022-11-23T01:32:31.2063309Z [2022-11-23 01:29:34,792] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2063384Z  - 
2022-11-23T01:32:31.2063502Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2063575Z             {
2022-11-23T01:32:31.2063724Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2063917Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2064041Z                 'obj_weakref': None
2022-11-23T01:32:31.2064270Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2064340Z             }
2022-11-23T01:32:31.2064402Z             
2022-11-23T01:32:31.2064478Z  - 
2022-11-23T01:32:31.2064605Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2064762Z             {
2022-11-23T01:32:31.2064912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2065054Z                 'code': None,
2022-11-23T01:32:31.2065268Z                 'obj_weakref': <weakref at 0x7f1fead70680; to 'Tensor' at 0x7f2115a789f0>
2022-11-23T01:32:31.2065513Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2065584Z             }
2022-11-23T01:32:31.2065653Z             
2022-11-23T01:32:31.2065729Z  - 
2022-11-23T01:32:31.2065858Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2065927Z             {
2022-11-23T01:32:31.2066076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2066182Z                 'code': None,
2022-11-23T01:32:31.2066399Z                 'obj_weakref': <weakref at 0x7f1fead71350; to 'Tensor' at 0x7f1fead08db0>
2022-11-23T01:32:31.2066657Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2066726Z             }
2022-11-23T01:32:31.2066797Z             
2022-11-23T01:32:31.2066873Z  - 
2022-11-23T01:32:31.2067009Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2067071Z             {
2022-11-23T01:32:31.2067212Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2067390Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2067515Z                 'obj_weakref': None
2022-11-23T01:32:31.2067751Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2067820Z             }
2022-11-23T01:32:31.2067888Z             
2022-11-23T01:32:31.2067956Z  - 
2022-11-23T01:32:31.2068083Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2068151Z             {
2022-11-23T01:32:31.2068294Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2068518Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2068646Z                 'obj_weakref': None
2022-11-23T01:32:31.2068875Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2068938Z             }
2022-11-23T01:32:31.2069006Z             
2022-11-23T01:32:31.2069081Z  - 
2022-11-23T01:32:31.2069218Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2069288Z             {
2022-11-23T01:32:31.2069414Z                 'guard_types': None,
2022-11-23T01:32:31.2069530Z                 'code': None,
2022-11-23T01:32:31.2069646Z                 'obj_weakref': None
2022-11-23T01:32:31.2069774Z                 'guarded_class': None
2022-11-23T01:32:31.2069843Z             }
2022-11-23T01:32:31.2069910Z             
2022-11-23T01:32:31.2070179Z [2022-11-23 01:29:34,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447
2022-11-23T01:32:31.2070736Z [2022-11-23 01:29:34,817] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2071450Z [2022-11-23 01:29:35,061] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuyb5r4ho7xxb534uyuld5yo3ry2i6abnir7bq4v6qlb3umnb4ag.py
2022-11-23T01:32:31.2071724Z [2022-11-23 01:29:35,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447
2022-11-23T01:32:31.2071960Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2072279Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2072504Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2072840Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2073127Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2073474Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2073822Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2074149Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2074525Z [2022-11-23 01:29:35,066] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2074632Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2074724Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2074827Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2074925Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2075029Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2075197Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2075298Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2075304Z 
2022-11-23T01:32:31.2075403Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2075500Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2075590Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2075686Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2075834Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2076002Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2076105Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2076114Z 
2022-11-23T01:32:31.2076213Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2076311Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2076399Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2076494Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2076643Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2076805Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2076903Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2076908Z 
2022-11-23T01:32:31.2077002Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2077097Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2077187Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2077192Z 
2022-11-23T01:32:31.2077278Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2077374Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2077468Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2077473Z 
2022-11-23T01:32:31.2077569Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2077652Z               56 RETURN_VALUE
2022-11-23T01:32:31.2077719Z  
2022-11-23T01:32:31.2077724Z 
2022-11-23T01:32:31.2078044Z [2022-11-23 01:29:35,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2078268Z [2022-11-23 01:29:35,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2078577Z [2022-11-23 01:29:35,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2078825Z [2022-11-23 01:29:35,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2079132Z [2022-11-23 01:29:35,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2079469Z [2022-11-23 01:29:35,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2079847Z [2022-11-23 01:29:35,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2080246Z [2022-11-23 01:29:35,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2080561Z [2022-11-23 01:29:35,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2080813Z [2022-11-23 01:29:35,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2081147Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2081426Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2081731Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2082073Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2082457Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2082879Z [2022-11-23 01:29:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2083198Z [2022-11-23 01:29:35,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2083469Z [2022-11-23 01:29:35,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2083830Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2084134Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2084466Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2084834Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2085247Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2085688Z [2022-11-23 01:29:35,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2086004Z [2022-11-23 01:29:35,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2086322Z [2022-11-23 01:29:35,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2086681Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2087031Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2087340Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2087656Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2087998Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2088394Z [2022-11-23 01:29:35,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2088700Z [2022-11-23 01:29:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2089045Z [2022-11-23 01:29:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2089295Z [2022-11-23 01:29:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2089675Z [2022-11-23 01:29:35,094] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2089920Z [2022-11-23 01:29:35,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2090159Z [2022-11-23 01:29:35,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2090411Z [2022-11-23 01:29:35,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2090666Z [2022-11-23 01:29:35,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2090860Z [2022-11-23 01:29:35,103] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2091003Z  __compiled_fn_458 <eval_with_key>.2834 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2091098Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2091193Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2091387Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2091587Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2091776Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2091978Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2092179Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2092320Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2092325Z 
2022-11-23T01:32:31.2092693Z [2022-11-23 01:29:35,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2092807Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2092904Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2092999Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2093126Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2093230Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2093329Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2093411Z              12 RETURN_VALUE
2022-11-23T01:32:31.2093417Z 
2022-11-23T01:32:31.2093482Z  
2022-11-23T01:32:31.2093812Z [2022-11-23 01:29:35,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2093930Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_458)
2022-11-23T01:32:31.2094027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2094117Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2094202Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2094300Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2094395Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2094477Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2094573Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2094687Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2094790Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2094886Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2094972Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2095082Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2095177Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2095258Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2095365Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2095462Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2095536Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2095646Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2095741Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2095825Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2095933Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2096029Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2096109Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2096197Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2096279Z              50 RETURN_VALUE
2022-11-23T01:32:31.2096284Z 
2022-11-23T01:32:31.2096349Z  
2022-11-23T01:32:31.2096540Z [2022-11-23 01:29:35,105] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2096616Z  - 
2022-11-23T01:32:31.2096743Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2096811Z             {
2022-11-23T01:32:31.2096952Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2097145Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2097272Z                 'obj_weakref': None
2022-11-23T01:32:31.2097502Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2097575Z             }
2022-11-23T01:32:31.2097643Z             
2022-11-23T01:32:31.2097719Z  - 
2022-11-23T01:32:31.2097844Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2097913Z             {
2022-11-23T01:32:31.2098061Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2098173Z                 'code': None,
2022-11-23T01:32:31.2098394Z                 'obj_weakref': <weakref at 0x7f1ff8145da0; to 'Tensor' at 0x7f1fe036a2a0>
2022-11-23T01:32:31.2098645Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2098714Z             }
2022-11-23T01:32:31.2098976Z             
2022-11-23T01:32:31.2099056Z  - 
2022-11-23T01:32:31.2099186Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2099256Z             {
2022-11-23T01:32:31.2099407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2099522Z                 'code': None,
2022-11-23T01:32:31.2099793Z                 'obj_weakref': <weakref at 0x7f1ff8145350; to 'Tensor' at 0x7f1fead0bbf0>
2022-11-23T01:32:31.2100068Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2100139Z             }
2022-11-23T01:32:31.2100208Z             
2022-11-23T01:32:31.2100286Z  - 
2022-11-23T01:32:31.2100423Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2100492Z             {
2022-11-23T01:32:31.2100634Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2100803Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2100929Z                 'obj_weakref': None
2022-11-23T01:32:31.2101162Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2101232Z             }
2022-11-23T01:32:31.2101301Z             
2022-11-23T01:32:31.2101376Z  - 
2022-11-23T01:32:31.2101506Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2101568Z             {
2022-11-23T01:32:31.2101718Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2101939Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2102065Z                 'obj_weakref': None
2022-11-23T01:32:31.2102288Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2102357Z             }
2022-11-23T01:32:31.2102425Z             
2022-11-23T01:32:31.2102493Z  - 
2022-11-23T01:32:31.2102628Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2102697Z             {
2022-11-23T01:32:31.2102821Z                 'guard_types': None,
2022-11-23T01:32:31.2102932Z                 'code': None,
2022-11-23T01:32:31.2103054Z                 'obj_weakref': None
2022-11-23T01:32:31.2103179Z                 'guarded_class': None
2022-11-23T01:32:31.2103241Z             }
2022-11-23T01:32:31.2103312Z             
2022-11-23T01:32:31.2103575Z [2022-11-23 01:29:35,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448
2022-11-23T01:32:31.2103994Z [2022-11-23 01:29:35,131] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2104358Z [2022-11-23 01:29:35,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wo/cwovcdyx6d4kgf6wto7dnkfd2tfrnuqsfaskkfhqw3337lrg776p.py
2022-11-23T01:32:31.2104625Z [2022-11-23 01:29:35,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448
2022-11-23T01:32:31.2104863Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2105180Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2105405Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2105655Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2105932Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2106249Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2106592Z [2022-11-23 01:29:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2106911Z [2022-11-23 01:29:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2107313Z [2022-11-23 01:29:35,275] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2107436Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2107536Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2107637Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2107726Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2107827Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2107997Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2108096Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2108102Z 
2022-11-23T01:32:31.2108202Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2108299Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2108396Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2108494Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2108636Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2108803Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2108903Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2108908Z 
2022-11-23T01:32:31.2109006Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2109103Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2109199Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2109295Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2109433Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2109600Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2109701Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2109706Z 
2022-11-23T01:32:31.2109800Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2109896Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2109988Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2109993Z 
2022-11-23T01:32:31.2110088Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2110183Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2110341Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2110348Z 
2022-11-23T01:32:31.2110455Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2110537Z               56 RETURN_VALUE
2022-11-23T01:32:31.2110604Z  
2022-11-23T01:32:31.2110609Z 
2022-11-23T01:32:31.2110927Z [2022-11-23 01:29:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2111149Z [2022-11-23 01:29:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2111454Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2111709Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2111987Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2112296Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2112704Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2113096Z [2022-11-23 01:29:35,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2113447Z [2022-11-23 01:29:35,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2113721Z [2022-11-23 01:29:35,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2114052Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2114335Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2114641Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2114982Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2115379Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2115801Z [2022-11-23 01:29:35,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2116118Z [2022-11-23 01:29:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2116385Z [2022-11-23 01:29:35,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2116744Z [2022-11-23 01:29:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2117051Z [2022-11-23 01:29:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2117386Z [2022-11-23 01:29:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2117754Z [2022-11-23 01:29:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2118172Z [2022-11-23 01:29:35,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2118622Z [2022-11-23 01:29:35,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2118942Z [2022-11-23 01:29:35,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2119242Z [2022-11-23 01:29:35,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2119563Z [2022-11-23 01:29:35,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2119928Z [2022-11-23 01:29:35,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2120242Z [2022-11-23 01:29:35,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2120599Z [2022-11-23 01:29:35,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2120961Z [2022-11-23 01:29:35,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2121355Z [2022-11-23 01:29:35,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2121668Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2122019Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2122272Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2122697Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2122946Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2123182Z [2022-11-23 01:29:35,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2123439Z [2022-11-23 01:29:35,306] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2123690Z [2022-11-23 01:29:35,314] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2123887Z [2022-11-23 01:29:35,315] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2124026Z  __compiled_fn_459 <eval_with_key>.2840 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2124124Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2124217Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2124410Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2124605Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2124802Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2124998Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2125193Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2125333Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2125339Z 
2022-11-23T01:32:31.2125668Z [2022-11-23 01:29:35,315] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2125771Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2125875Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2125969Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2126070Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2126162Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2126250Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2126333Z              12 RETURN_VALUE
2022-11-23T01:32:31.2126338Z 
2022-11-23T01:32:31.2126404Z  
2022-11-23T01:32:31.2126729Z [2022-11-23 01:29:35,315] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2126847Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_459)
2022-11-23T01:32:31.2126945Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2127042Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2127154Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2127290Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2127385Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2127467Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2127562Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2127674Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2127783Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2127878Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2127952Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2128060Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2128157Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2128239Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2128348Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2128444Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2128528Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2128631Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2128728Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2128810Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2128918Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2129013Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2129094Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2129189Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2129263Z              50 RETURN_VALUE
2022-11-23T01:32:31.2129276Z 
2022-11-23T01:32:31.2129334Z  
2022-11-23T01:32:31.2129527Z [2022-11-23 01:29:35,316] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2129604Z  - 
2022-11-23T01:32:31.2129731Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2129800Z             {
2022-11-23T01:32:31.2129948Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2130146Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2130268Z                 'obj_weakref': None
2022-11-23T01:32:31.2130497Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2130566Z             }
2022-11-23T01:32:31.2130635Z             
2022-11-23T01:32:31.2130710Z  - 
2022-11-23T01:32:31.2130840Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2130902Z             {
2022-11-23T01:32:31.2131052Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2131166Z                 'code': None,
2022-11-23T01:32:31.2131386Z                 'obj_weakref': <weakref at 0x7f1ff8146c50; to 'Tensor' at 0x7f1fe0368540>
2022-11-23T01:32:31.2131640Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2131710Z             }
2022-11-23T01:32:31.2131778Z             
2022-11-23T01:32:31.2131857Z  - 
2022-11-23T01:32:31.2131979Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2132051Z             {
2022-11-23T01:32:31.2132200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2132315Z                 'code': None,
2022-11-23T01:32:31.2132561Z                 'obj_weakref': <weakref at 0x7f1ff8146200; to 'Tensor' at 0x7f1fd9b748b0>
2022-11-23T01:32:31.2132840Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2132909Z             }
2022-11-23T01:32:31.2132970Z             
2022-11-23T01:32:31.2133046Z  - 
2022-11-23T01:32:31.2133182Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2133251Z             {
2022-11-23T01:32:31.2133392Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2133568Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2133692Z                 'obj_weakref': None
2022-11-23T01:32:31.2133953Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2134054Z             }
2022-11-23T01:32:31.2134122Z             
2022-11-23T01:32:31.2134199Z  - 
2022-11-23T01:32:31.2134327Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2134396Z             {
2022-11-23T01:32:31.2134531Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2134755Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2134880Z                 'obj_weakref': None
2022-11-23T01:32:31.2135107Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2135179Z             }
2022-11-23T01:32:31.2135251Z             
2022-11-23T01:32:31.2135327Z  - 
2022-11-23T01:32:31.2135457Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2135528Z             {
2022-11-23T01:32:31.2135653Z                 'guard_types': None,
2022-11-23T01:32:31.2135769Z                 'code': None,
2022-11-23T01:32:31.2135895Z                 'obj_weakref': None
2022-11-23T01:32:31.2136022Z                 'guarded_class': None
2022-11-23T01:32:31.2136091Z             }
2022-11-23T01:32:31.2136152Z             
2022-11-23T01:32:31.2136419Z [2022-11-23 01:29:35,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449
2022-11-23T01:32:31.2136843Z [2022-11-23 01:29:35,343] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2136849Z 
2022-11-23T01:32:31.2136950Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2137024Z import torch
2022-11-23T01:32:31.2137099Z import random
2022-11-23T01:32:31.2137222Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2137350Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2137356Z 
2022-11-23T01:32:31.2137435Z aten = torch.ops.aten
2022-11-23T01:32:31.2137580Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2137678Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2137684Z 
2022-11-23T01:32:31.2137763Z import triton
2022-11-23T01:32:31.2137857Z import triton.language as tl
2022-11-23T01:32:31.2137985Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2138130Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2138136Z 
2022-11-23T01:32:31.2138140Z 
2022-11-23T01:32:31.2138338Z triton_fused_div_div_1_div_4_div_2_div_30 = async_compile.triton('''
2022-11-23T01:32:31.2138406Z import triton
2022-11-23T01:32:31.2138500Z import triton.language as tl
2022-11-23T01:32:31.2138616Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2138720Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2139052Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2139188Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2139196Z 
2022-11-23T01:32:31.2139656Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2139731Z @triton.jit
2022-11-23T01:32:31.2139915Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2139984Z     xnumel = 10
2022-11-23T01:32:31.2140082Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2140217Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2140302Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2140378Z     x0 = xindex
2022-11-23T01:32:31.2140478Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2140663Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2140762Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2140863Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.2140966Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.2141103Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2141241Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2141375Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2141512Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2141635Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2141723Z ''')
2022-11-23T01:32:31.2141729Z 
2022-11-23T01:32:31.2141733Z 
2022-11-23T01:32:31.2141830Z async_compile.wait(globals())
2022-11-23T01:32:31.2141909Z del async_compile
2022-11-23T01:32:31.2141914Z 
2022-11-23T01:32:31.2141990Z def call(args):
2022-11-23T01:32:31.2142074Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2142153Z     args.clear()
2022-11-23T01:32:31.2142355Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2142573Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2142789Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2142981Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2143172Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2143266Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2143453Z     triton_fused_div_div_1_div_4_div_2_div_30.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2143527Z     del arg0_1
2022-11-23T01:32:31.2143601Z     del arg1_1
2022-11-23T01:32:31.2143698Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2143703Z 
2022-11-23T01:32:31.2143711Z 
2022-11-23T01:32:31.2143795Z if __name__ == "__main__":
2022-11-23T01:32:31.2143916Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2144048Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2144251Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2144440Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2144562Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2144568Z 
2022-11-23T01:32:31.2144572Z 
2022-11-23T01:32:31.2144673Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2144741Z import torch
2022-11-23T01:32:31.2144817Z import random
2022-11-23T01:32:31.2144938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2145064Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2145069Z 
2022-11-23T01:32:31.2145153Z aten = torch.ops.aten
2022-11-23T01:32:31.2145296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2145396Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2145401Z 
2022-11-23T01:32:31.2145470Z import triton
2022-11-23T01:32:31.2145563Z import triton.language as tl
2022-11-23T01:32:31.2145692Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2145834Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2145839Z 
2022-11-23T01:32:31.2145844Z 
2022-11-23T01:32:31.2146041Z triton_fused_div_3_div_2_div_div_4_div_10 = async_compile.triton('''
2022-11-23T01:32:31.2146117Z import triton
2022-11-23T01:32:31.2146210Z import triton.language as tl
2022-11-23T01:32:31.2146326Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2146424Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2146559Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2146687Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2146720Z 
2022-11-23T01:32:31.2147176Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2147271Z @triton.jit
2022-11-23T01:32:31.2147457Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2147532Z     xnumel = 10
2022-11-23T01:32:31.2147633Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2147760Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2147845Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2147918Z     x0 = xindex
2022-11-23T01:32:31.2148037Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2148187Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.2148273Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2148379Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.2148471Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.2148605Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2148741Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2148874Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2149007Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2149139Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2149226Z ''')
2022-11-23T01:32:31.2149232Z 
2022-11-23T01:32:31.2149237Z 
2022-11-23T01:32:31.2149331Z async_compile.wait(globals())
2022-11-23T01:32:31.2149402Z del async_compile
2022-11-23T01:32:31.2149414Z 
2022-11-23T01:32:31.2149483Z def call(args):
2022-11-23T01:32:31.2149564Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2149642Z     args.clear()
2022-11-23T01:32:31.2149844Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2150041Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2150234Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2150530Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2150715Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2150808Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2150992Z     triton_fused_div_3_div_2_div_div_4_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2151068Z     del arg0_1
2022-11-23T01:32:31.2151142Z     del arg1_1
2022-11-23T01:32:31.2151244Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2151250Z 
2022-11-23T01:32:31.2151255Z 
2022-11-23T01:32:31.2151339Z if __name__ == "__main__":
2022-11-23T01:32:31.2151463Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2151584Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2151785Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2151981Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2152101Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2152107Z 
2022-11-23T01:32:31.2152474Z [2022-11-23 01:29:35,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ud/cudew7k52gvbu3hsj5vajjit6dl2oudyzwkocxzd3u6ku2lxzrpy.py
2022-11-23T01:32:31.2152743Z [2022-11-23 01:29:35,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449
2022-11-23T01:32:31.2152985Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2153335Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2153576Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2153822Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2154099Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2154417Z [2022-11-23 01:29:35,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2154763Z [2022-11-23 01:29:35,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2155087Z [2022-11-23 01:29:35,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2155458Z [2022-11-23 01:29:35,496] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2155561Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2155659Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2155758Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2155848Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2155951Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2156119Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2156218Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2156224Z 
2022-11-23T01:32:31.2156324Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2156423Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2156523Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2156618Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2156759Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2156925Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2157023Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2157028Z 
2022-11-23T01:32:31.2157127Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2157223Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2157321Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2157417Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2157562Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2157719Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2157820Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2157825Z 
2022-11-23T01:32:31.2157921Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2158015Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2158105Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2158110Z 
2022-11-23T01:32:31.2158205Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2158300Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2158384Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2158398Z 
2022-11-23T01:32:31.2158486Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2158567Z               56 RETURN_VALUE
2022-11-23T01:32:31.2158633Z  
2022-11-23T01:32:31.2158638Z 
2022-11-23T01:32:31.2158955Z [2022-11-23 01:29:35,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2159215Z [2022-11-23 01:29:35,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2159524Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2159804Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2160084Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2160387Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2160762Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2161158Z [2022-11-23 01:29:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2161473Z [2022-11-23 01:29:35,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2161721Z [2022-11-23 01:29:35,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2162046Z [2022-11-23 01:29:35,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2162317Z [2022-11-23 01:29:35,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2162618Z [2022-11-23 01:29:35,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2162955Z [2022-11-23 01:29:35,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2163353Z [2022-11-23 01:29:35,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2163773Z [2022-11-23 01:29:35,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2164092Z [2022-11-23 01:29:35,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2164367Z [2022-11-23 01:29:35,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2164720Z [2022-11-23 01:29:35,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2165029Z [2022-11-23 01:29:35,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2165361Z [2022-11-23 01:29:35,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2165728Z [2022-11-23 01:29:35,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2166148Z [2022-11-23 01:29:35,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2166619Z [2022-11-23 01:29:35,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2166955Z [2022-11-23 01:29:35,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2167253Z [2022-11-23 01:29:35,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2167573Z [2022-11-23 01:29:35,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2167939Z [2022-11-23 01:29:35,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2168256Z [2022-11-23 01:29:35,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2168577Z [2022-11-23 01:29:35,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2168916Z [2022-11-23 01:29:35,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2169312Z [2022-11-23 01:29:35,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2169628Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2169989Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2170242Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2170619Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2170867Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2171102Z [2022-11-23 01:29:35,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2171366Z [2022-11-23 01:29:35,524] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2171627Z [2022-11-23 01:29:35,532] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2171822Z [2022-11-23 01:29:35,533] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2171960Z  __compiled_fn_460 <eval_with_key>.2846 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2172057Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2172150Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2172343Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2172541Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2172763Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2172987Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2173187Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2173321Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2173327Z 
2022-11-23T01:32:31.2173690Z [2022-11-23 01:29:35,533] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2173811Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2173910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2174006Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2174106Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2174197Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2174291Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2174366Z              12 RETURN_VALUE
2022-11-23T01:32:31.2174372Z 
2022-11-23T01:32:31.2174439Z  
2022-11-23T01:32:31.2174762Z [2022-11-23 01:29:35,533] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2174879Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_460)
2022-11-23T01:32:31.2174978Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2175075Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2175161Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2175249Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2175344Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2175426Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2175522Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2175634Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2175744Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2175840Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2175915Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2176025Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2176120Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2176202Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2176311Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2176411Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2176496Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2176605Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2176693Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2176776Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2176886Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2176980Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2177061Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2177156Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2177238Z              50 RETURN_VALUE
2022-11-23T01:32:31.2177243Z 
2022-11-23T01:32:31.2177303Z  
2022-11-23T01:32:31.2177494Z [2022-11-23 01:29:35,534] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2177571Z  - 
2022-11-23T01:32:31.2177697Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2177768Z             {
2022-11-23T01:32:31.2177918Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2178112Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2178231Z                 'obj_weakref': None
2022-11-23T01:32:31.2178461Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2178532Z             }
2022-11-23T01:32:31.2178600Z             
2022-11-23T01:32:31.2178676Z  - 
2022-11-23T01:32:31.2179002Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2179073Z             {
2022-11-23T01:32:31.2179217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2179331Z                 'code': None,
2022-11-23T01:32:31.2179551Z                 'obj_weakref': <weakref at 0x7f1fd9a45080; to 'Tensor' at 0x7f1fd9a6eac0>
2022-11-23T01:32:31.2179850Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2179923Z             }
2022-11-23T01:32:31.2180027Z             
2022-11-23T01:32:31.2180105Z  - 
2022-11-23T01:32:31.2180228Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2180298Z             {
2022-11-23T01:32:31.2180447Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2180560Z                 'code': None,
2022-11-23T01:32:31.2180776Z                 'obj_weakref': <weakref at 0x7f1fd9a45cb0; to 'Tensor' at 0x7f2151eee750>
2022-11-23T01:32:31.2181024Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2181096Z             }
2022-11-23T01:32:31.2181158Z             
2022-11-23T01:32:31.2181233Z  - 
2022-11-23T01:32:31.2181369Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2181436Z             {
2022-11-23T01:32:31.2181580Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2181760Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2181886Z                 'obj_weakref': None
2022-11-23T01:32:31.2182118Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2182188Z             }
2022-11-23T01:32:31.2182257Z             
2022-11-23T01:32:31.2182332Z  - 
2022-11-23T01:32:31.2182460Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2182529Z             {
2022-11-23T01:32:31.2182673Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2182887Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2183011Z                 'obj_weakref': None
2022-11-23T01:32:31.2183238Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2183308Z             }
2022-11-23T01:32:31.2183376Z             
2022-11-23T01:32:31.2183450Z  - 
2022-11-23T01:32:31.2183587Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2183652Z             {
2022-11-23T01:32:31.2183780Z                 'guard_types': None,
2022-11-23T01:32:31.2183895Z                 'code': None,
2022-11-23T01:32:31.2184019Z                 'obj_weakref': None
2022-11-23T01:32:31.2184149Z                 'guarded_class': None
2022-11-23T01:32:31.2184218Z             }
2022-11-23T01:32:31.2184279Z             
2022-11-23T01:32:31.2184546Z [2022-11-23 01:29:35,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450
2022-11-23T01:32:31.2184965Z [2022-11-23 01:29:35,561] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2185325Z [2022-11-23 01:29:35,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6y/c6yrzn55b7tpc4be7566ltmvrgfgmjlokbyjq4kfz2o56xfzypo4.py
2022-11-23T01:32:31.2185601Z [2022-11-23 01:29:35,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450
2022-11-23T01:32:31.2185846Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2186168Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2186391Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2186648Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2186932Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2187246Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2187628Z [2022-11-23 01:29:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2187974Z [2022-11-23 01:29:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2188349Z [2022-11-23 01:29:35,706] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2188453Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2188553Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2188651Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2188749Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2188854Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2189016Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2189119Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2189125Z 
2022-11-23T01:32:31.2189225Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2189323Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2189419Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2189514Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2189661Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2189827Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2189919Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2189924Z 
2022-11-23T01:32:31.2190024Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2190121Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2190216Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2190389Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2190565Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2190731Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2190823Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2190838Z 
2022-11-23T01:32:31.2190925Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2191020Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2191112Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2191117Z 
2022-11-23T01:32:31.2191209Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2191302Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2191393Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2191398Z 
2022-11-23T01:32:31.2191494Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2191569Z               56 RETURN_VALUE
2022-11-23T01:32:31.2191636Z  
2022-11-23T01:32:31.2191641Z 
2022-11-23T01:32:31.2191961Z [2022-11-23 01:29:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2192190Z [2022-11-23 01:29:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2192500Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2192756Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2193032Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2193345Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2193755Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2194175Z [2022-11-23 01:29:35,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2194490Z [2022-11-23 01:29:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2194735Z [2022-11-23 01:29:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2195067Z [2022-11-23 01:29:35,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2195345Z [2022-11-23 01:29:35,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2195652Z [2022-11-23 01:29:35,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2195996Z [2022-11-23 01:29:35,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2196388Z [2022-11-23 01:29:35,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2196811Z [2022-11-23 01:29:35,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2197132Z [2022-11-23 01:29:35,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2197410Z [2022-11-23 01:29:35,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2197768Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2198074Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2198403Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2198761Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2199184Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2199636Z [2022-11-23 01:29:35,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2199955Z [2022-11-23 01:29:35,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2200251Z [2022-11-23 01:29:35,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2200569Z [2022-11-23 01:29:35,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2200964Z [2022-11-23 01:29:35,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2201311Z [2022-11-23 01:29:35,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2201630Z [2022-11-23 01:29:35,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2201973Z [2022-11-23 01:29:35,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2202363Z [2022-11-23 01:29:35,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2202672Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2203018Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2203259Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2203632Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2203880Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2204123Z [2022-11-23 01:29:35,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2204386Z [2022-11-23 01:29:35,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2204644Z [2022-11-23 01:29:35,737] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2204839Z [2022-11-23 01:29:35,737] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2204983Z  __compiled_fn_461 <eval_with_key>.2852 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2205078Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2205164Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2205357Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2205555Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2205751Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2205948Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2206150Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2206296Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2206301Z 
2022-11-23T01:32:31.2206631Z [2022-11-23 01:29:35,738] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2206726Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2206826Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2206919Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2207022Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2207114Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2207208Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2207289Z              12 RETURN_VALUE
2022-11-23T01:32:31.2207295Z 
2022-11-23T01:32:31.2207362Z  
2022-11-23T01:32:31.2207706Z [2022-11-23 01:29:35,738] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2207871Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_461)
2022-11-23T01:32:31.2207969Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2208069Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2208153Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2208250Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2208344Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2208419Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2208513Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2208627Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2208740Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2208836Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2208918Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2209030Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2209120Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2209203Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2209312Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2209408Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2209490Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2209598Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2209692Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2209766Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2209874Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2209968Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2210050Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2210145Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2210227Z              50 RETURN_VALUE
2022-11-23T01:32:31.2210234Z 
2022-11-23T01:32:31.2210301Z  
2022-11-23T01:32:31.2210495Z [2022-11-23 01:29:35,738] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2210564Z  - 
2022-11-23T01:32:31.2210689Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2210760Z             {
2022-11-23T01:32:31.2210904Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2211098Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2211223Z                 'obj_weakref': None
2022-11-23T01:32:31.2211449Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2211512Z             }
2022-11-23T01:32:31.2211580Z             
2022-11-23T01:32:31.2211659Z  - 
2022-11-23T01:32:31.2211788Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2211858Z             {
2022-11-23T01:32:31.2212006Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2212114Z                 'code': None,
2022-11-23T01:32:31.2212326Z                 'obj_weakref': <weakref at 0x7f20682974c0; to 'Tensor' at 0x7f2115a789f0>
2022-11-23T01:32:31.2212579Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2212649Z             }
2022-11-23T01:32:31.2212718Z             
2022-11-23T01:32:31.2212793Z  - 
2022-11-23T01:32:31.2212921Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2212983Z             {
2022-11-23T01:32:31.2213131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2213244Z                 'code': None,
2022-11-23T01:32:31.2213454Z                 'obj_weakref': <weakref at 0x7f2068295620; to 'Tensor' at 0x7f2072846a20>
2022-11-23T01:32:31.2213707Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2213776Z             }
2022-11-23T01:32:31.2213844Z             
2022-11-23T01:32:31.2213919Z  - 
2022-11-23T01:32:31.2214081Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2214169Z             {
2022-11-23T01:32:31.2214314Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2214491Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2214616Z                 'obj_weakref': None
2022-11-23T01:32:31.2214852Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2214920Z             }
2022-11-23T01:32:31.2214982Z             
2022-11-23T01:32:31.2215059Z  - 
2022-11-23T01:32:31.2215189Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2215258Z             {
2022-11-23T01:32:31.2215400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2215622Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2215746Z                 'obj_weakref': None
2022-11-23T01:32:31.2215968Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2216040Z             }
2022-11-23T01:32:31.2216108Z             
2022-11-23T01:32:31.2216184Z  - 
2022-11-23T01:32:31.2216321Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2216391Z             {
2022-11-23T01:32:31.2216510Z                 'guard_types': None,
2022-11-23T01:32:31.2216623Z                 'code': None,
2022-11-23T01:32:31.2216745Z                 'obj_weakref': None
2022-11-23T01:32:31.2216874Z                 'guarded_class': None
2022-11-23T01:32:31.2216945Z             }
2022-11-23T01:32:31.2217014Z             
2022-11-23T01:32:31.2217281Z [2022-11-23 01:29:35,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451
2022-11-23T01:32:31.2217705Z [2022-11-23 01:29:35,761] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2217712Z 
2022-11-23T01:32:31.2217810Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2217885Z import torch
2022-11-23T01:32:31.2217959Z import random
2022-11-23T01:32:31.2218082Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2218210Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2218215Z 
2022-11-23T01:32:31.2218299Z aten = torch.ops.aten
2022-11-23T01:32:31.2218440Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2218532Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2218545Z 
2022-11-23T01:32:31.2218613Z import triton
2022-11-23T01:32:31.2218707Z import triton.language as tl
2022-11-23T01:32:31.2219032Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2219180Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2219186Z 
2022-11-23T01:32:31.2219190Z 
2022-11-23T01:32:31.2219391Z triton_fused_div_div_3_div_2_div_4_div_10 = async_compile.triton('''
2022-11-23T01:32:31.2219467Z import triton
2022-11-23T01:32:31.2219564Z import triton.language as tl
2022-11-23T01:32:31.2219672Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2219777Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2219913Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2220041Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2220046Z 
2022-11-23T01:32:31.2220501Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2220576Z @triton.jit
2022-11-23T01:32:31.2220760Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2220835Z     xnumel = 10
2022-11-23T01:32:31.2220988Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2221140Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2221225Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2221297Z     x0 = xindex
2022-11-23T01:32:31.2221432Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2221532Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2221616Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2221717Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.2221808Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.2221945Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2222083Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2222216Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2222348Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2222480Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2222573Z ''')
2022-11-23T01:32:31.2222578Z 
2022-11-23T01:32:31.2222583Z 
2022-11-23T01:32:31.2222678Z async_compile.wait(globals())
2022-11-23T01:32:31.2222749Z del async_compile
2022-11-23T01:32:31.2222755Z 
2022-11-23T01:32:31.2222833Z def call(args):
2022-11-23T01:32:31.2222915Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2222991Z     args.clear()
2022-11-23T01:32:31.2223193Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2223392Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2223584Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2223767Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2223954Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2224050Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2224239Z     triton_fused_div_div_3_div_2_div_4_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2224314Z     del arg0_1
2022-11-23T01:32:31.2224387Z     del arg1_1
2022-11-23T01:32:31.2224489Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2224494Z 
2022-11-23T01:32:31.2224499Z 
2022-11-23T01:32:31.2224580Z if __name__ == "__main__":
2022-11-23T01:32:31.2224694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2224824Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2225017Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2225218Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2225339Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2225344Z 
2022-11-23T01:32:31.2225348Z 
2022-11-23T01:32:31.2225449Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2225524Z import torch
2022-11-23T01:32:31.2225602Z import random
2022-11-23T01:32:31.2225716Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2225841Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2225846Z 
2022-11-23T01:32:31.2225930Z aten = torch.ops.aten
2022-11-23T01:32:31.2226070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2226168Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2226173Z 
2022-11-23T01:32:31.2226248Z import triton
2022-11-23T01:32:31.2226342Z import triton.language as tl
2022-11-23T01:32:31.2226463Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2226610Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2226615Z 
2022-11-23T01:32:31.2226619Z 
2022-11-23T01:32:31.2226816Z triton_fused_div_1_div_2_div_4_div_div_30 = async_compile.triton('''
2022-11-23T01:32:31.2226892Z import triton
2022-11-23T01:32:31.2227017Z import triton.language as tl
2022-11-23T01:32:31.2227164Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2227271Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2227408Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2227528Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2227541Z 
2022-11-23T01:32:31.2227980Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2228060Z @triton.jit
2022-11-23T01:32:31.2228242Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2228317Z     xnumel = 10
2022-11-23T01:32:31.2228416Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2228552Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2228644Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2228709Z     x0 = xindex
2022-11-23T01:32:31.2228856Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.2228976Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2229057Z     tmp2 = tmp0 / tmp1
2022-11-23T01:32:31.2229156Z     tmp3 = tl.libdevice.floor(tmp2)
2022-11-23T01:32:31.2229254Z     tmp4 = tl.libdevice.trunc(tmp2)
2022-11-23T01:32:31.2229387Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2229522Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2229647Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2229780Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2229911Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2230003Z ''')
2022-11-23T01:32:31.2230008Z 
2022-11-23T01:32:31.2230013Z 
2022-11-23T01:32:31.2230107Z async_compile.wait(globals())
2022-11-23T01:32:31.2230185Z del async_compile
2022-11-23T01:32:31.2230190Z 
2022-11-23T01:32:31.2230342Z def call(args):
2022-11-23T01:32:31.2230440Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2230512Z     args.clear()
2022-11-23T01:32:31.2230709Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2230903Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2231092Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2231283Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2231470Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2231562Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2231739Z     triton_fused_div_1_div_2_div_4_div_div_30.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2231816Z     del arg0_1
2022-11-23T01:32:31.2231891Z     del arg1_1
2022-11-23T01:32:31.2231993Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2231999Z 
2022-11-23T01:32:31.2232003Z 
2022-11-23T01:32:31.2232085Z if __name__ == "__main__":
2022-11-23T01:32:31.2232205Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2232360Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2232573Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2232762Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2232883Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2232889Z 
2022-11-23T01:32:31.2233309Z [2022-11-23 01:29:35,840] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yl/cyla3sjponxyg5i4dc64oah5xlmeg7eilsfmgplrornbgoldpcbf.py
2022-11-23T01:32:31.2233607Z [2022-11-23 01:29:35,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451
2022-11-23T01:32:31.2233851Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2234171Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2234397Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2234658Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2234941Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2235266Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2235611Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2235936Z [2022-11-23 01:29:35,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2236319Z [2022-11-23 01:29:35,845] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2236421Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2236520Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2236619Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2236714Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2236817Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2236982Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2237084Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2237089Z 
2022-11-23T01:32:31.2237189Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2237287Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2237384Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2237480Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2237629Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2237798Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2237890Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2237895Z 
2022-11-23T01:32:31.2237995Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2238090Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2238188Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2238286Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2238435Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2238601Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2238699Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2238705Z 
2022-11-23T01:32:31.2238792Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2238887Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2238976Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2238981Z 
2022-11-23T01:32:31.2239075Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2239168Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2239259Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2239264Z 
2022-11-23T01:32:31.2239359Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2239470Z               56 RETURN_VALUE
2022-11-23T01:32:31.2239531Z  
2022-11-23T01:32:31.2239556Z 
2022-11-23T01:32:31.2239879Z [2022-11-23 01:29:35,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2240104Z [2022-11-23 01:29:35,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2240411Z [2022-11-23 01:29:35,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2240666Z [2022-11-23 01:29:35,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2240944Z [2022-11-23 01:29:35,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2241257Z [2022-11-23 01:29:35,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2241632Z [2022-11-23 01:29:35,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2242037Z [2022-11-23 01:29:35,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2242353Z [2022-11-23 01:29:35,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2242597Z [2022-11-23 01:29:35,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2242928Z [2022-11-23 01:29:35,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2243213Z [2022-11-23 01:29:35,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2243521Z [2022-11-23 01:29:35,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2243861Z [2022-11-23 01:29:35,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2244255Z [2022-11-23 01:29:35,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2244675Z [2022-11-23 01:29:35,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2244996Z [2022-11-23 01:29:35,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2245274Z [2022-11-23 01:29:35,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2245633Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2245937Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2246266Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2246648Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2247094Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2247543Z [2022-11-23 01:29:35,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2247862Z [2022-11-23 01:29:35,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2248159Z [2022-11-23 01:29:35,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2248483Z [2022-11-23 01:29:35,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2248851Z [2022-11-23 01:29:35,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2249168Z [2022-11-23 01:29:35,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2249489Z [2022-11-23 01:29:35,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2249838Z [2022-11-23 01:29:35,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2250231Z [2022-11-23 01:29:35,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2250547Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2250899Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2251140Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2251518Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2251767Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2252010Z [2022-11-23 01:29:35,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2252271Z [2022-11-23 01:29:35,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2252530Z [2022-11-23 01:29:35,876] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2252724Z [2022-11-23 01:29:35,876] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2252868Z  __compiled_fn_462 <eval_with_key>.2858 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2252963Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2253049Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2253243Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2253441Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2253637Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2253860Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2254080Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2254221Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2254227Z 
2022-11-23T01:32:31.2254560Z [2022-11-23 01:29:35,877] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2254655Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2254756Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2254849Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2254949Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2255041Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2255135Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2255216Z              12 RETURN_VALUE
2022-11-23T01:32:31.2255223Z 
2022-11-23T01:32:31.2255290Z  
2022-11-23T01:32:31.2255602Z [2022-11-23 01:29:35,877] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2255720Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_462)
2022-11-23T01:32:31.2255816Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2255915Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2255998Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2256092Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2256187Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2256262Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2256355Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2256468Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2256576Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2256674Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2256758Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2256866Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2256954Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2257041Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2257148Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2257246Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2257328Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2257436Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2257530Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2257612Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2257712Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2257808Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2257889Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2257986Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2258070Z              50 RETURN_VALUE
2022-11-23T01:32:31.2258075Z 
2022-11-23T01:32:31.2258140Z  
2022-11-23T01:32:31.2258328Z [2022-11-23 01:29:35,877] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2258397Z  - 
2022-11-23T01:32:31.2258521Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2258590Z             {
2022-11-23T01:32:31.2258736Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2259119Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2259245Z                 'obj_weakref': None
2022-11-23T01:32:31.2259471Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2259534Z             }
2022-11-23T01:32:31.2259603Z             
2022-11-23T01:32:31.2259679Z  - 
2022-11-23T01:32:31.2259810Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2259879Z             {
2022-11-23T01:32:31.2260080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2260218Z                 'code': None,
2022-11-23T01:32:31.2260423Z                 'obj_weakref': <weakref at 0x7f20682974c0; to 'Tensor' at 0x7f2115a789f0>
2022-11-23T01:32:31.2260672Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2260742Z             }
2022-11-23T01:32:31.2260811Z             
2022-11-23T01:32:31.2260888Z  - 
2022-11-23T01:32:31.2261015Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2261083Z             {
2022-11-23T01:32:31.2261224Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2261337Z                 'code': None,
2022-11-23T01:32:31.2261547Z                 'obj_weakref': <weakref at 0x7f2068295620; to 'Tensor' at 0x7f2072846a20>
2022-11-23T01:32:31.2261799Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2261870Z             }
2022-11-23T01:32:31.2261942Z             
2022-11-23T01:32:31.2262017Z  - 
2022-11-23T01:32:31.2262146Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2262215Z             {
2022-11-23T01:32:31.2262362Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2262569Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2262711Z                 'obj_weakref': None
2022-11-23T01:32:31.2262943Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2263012Z             }
2022-11-23T01:32:31.2263074Z             
2022-11-23T01:32:31.2263149Z  - 
2022-11-23T01:32:31.2263277Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2263345Z             {
2022-11-23T01:32:31.2263487Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2263708Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2263837Z                 'obj_weakref': None
2022-11-23T01:32:31.2264057Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2264127Z             }
2022-11-23T01:32:31.2264196Z             
2022-11-23T01:32:31.2264272Z  - 
2022-11-23T01:32:31.2264409Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2264477Z             {
2022-11-23T01:32:31.2264603Z                 'guard_types': None,
2022-11-23T01:32:31.2264708Z                 'code': None,
2022-11-23T01:32:31.2264831Z                 'obj_weakref': None
2022-11-23T01:32:31.2264958Z                 'guarded_class': None
2022-11-23T01:32:31.2265028Z             }
2022-11-23T01:32:31.2265097Z             
2022-11-23T01:32:31.2265362Z [2022-11-23 01:29:35,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452
2022-11-23T01:32:31.2265789Z [2022-11-23 01:29:35,902] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2266152Z [2022-11-23 01:29:35,911] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g5/cg5yrlcy6yvqssmoehglfwy6tzdl7gm3obrtd7aj3ecdcptau7fc.py
2022-11-23T01:32:31.2266422Z [2022-11-23 01:29:35,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452
2022-11-23T01:32:31.2266663Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2266985Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2267208Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2267503Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2267784Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2268131Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2268479Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2268802Z [2022-11-23 01:29:35,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2269178Z [2022-11-23 01:29:35,916] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2269274Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2269376Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2269476Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2269572Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2269673Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2269844Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2269943Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2269949Z 
2022-11-23T01:32:31.2270049Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2270139Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2270235Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2270400Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2270576Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2270754Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2270857Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2270865Z 
2022-11-23T01:32:31.2270964Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2271054Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2271149Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2271244Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2271393Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2278222Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2278343Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2278349Z 
2022-11-23T01:32:31.2278448Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2278544Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2278628Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2278633Z 
2022-11-23T01:32:31.2278727Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2278825Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2278921Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2278926Z 
2022-11-23T01:32:31.2279028Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2279109Z               56 RETURN_VALUE
2022-11-23T01:32:31.2279176Z  
2022-11-23T01:32:31.2279181Z 
2022-11-23T01:32:31.2279519Z [2022-11-23 01:29:35,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2279735Z [2022-11-23 01:29:35,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2280040Z [2022-11-23 01:29:35,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2280291Z [2022-11-23 01:29:35,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2280631Z [2022-11-23 01:29:35,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2280971Z [2022-11-23 01:29:35,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2281339Z [2022-11-23 01:29:35,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2281731Z [2022-11-23 01:29:35,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2282039Z [2022-11-23 01:29:35,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2282290Z [2022-11-23 01:29:35,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2282657Z [2022-11-23 01:29:35,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2282953Z [2022-11-23 01:29:35,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2283250Z [2022-11-23 01:29:35,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2283592Z [2022-11-23 01:29:35,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2283982Z [2022-11-23 01:29:35,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2284405Z [2022-11-23 01:29:35,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2284724Z [2022-11-23 01:29:35,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2284998Z [2022-11-23 01:29:35,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2285358Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2285667Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2285993Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2286356Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2286776Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2287224Z [2022-11-23 01:29:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2287534Z [2022-11-23 01:29:35,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2287843Z [2022-11-23 01:29:35,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2288177Z [2022-11-23 01:29:35,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2288531Z [2022-11-23 01:29:35,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2288840Z [2022-11-23 01:29:35,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2289161Z [2022-11-23 01:29:35,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2289509Z [2022-11-23 01:29:35,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2289904Z [2022-11-23 01:29:35,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2290213Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2290567Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2290814Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2291185Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2291437Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2291667Z [2022-11-23 01:29:35,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2291955Z [2022-11-23 01:29:35,941] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2292236Z [2022-11-23 01:29:35,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2292432Z [2022-11-23 01:29:35,947] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2292576Z  __compiled_fn_463 <eval_with_key>.2864 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2292673Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2292767Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2292966Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2293153Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2293349Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2293544Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2293740Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2293880Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2293886Z 
2022-11-23T01:32:31.2294208Z [2022-11-23 01:29:35,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2294310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2294412Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2294498Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2294626Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2294739Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2294833Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2294915Z              12 RETURN_VALUE
2022-11-23T01:32:31.2294921Z 
2022-11-23T01:32:31.2294988Z  
2022-11-23T01:32:31.2295313Z [2022-11-23 01:29:35,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2295431Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_463)
2022-11-23T01:32:31.2295521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2295618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2295701Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2295795Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2295890Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2295975Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2296072Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2296180Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2296289Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2296385Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2296467Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2296577Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2296672Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2296753Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2296854Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2296948Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2297029Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2297139Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2297236Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2297321Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2297427Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2297516Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2297598Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2297695Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2297777Z              50 RETURN_VALUE
2022-11-23T01:32:31.2297783Z 
2022-11-23T01:32:31.2297848Z  
2022-11-23T01:32:31.2298035Z [2022-11-23 01:29:35,948] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2298111Z  - 
2022-11-23T01:32:31.2298227Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2298298Z             {
2022-11-23T01:32:31.2298443Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2298635Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2298764Z                 'obj_weakref': None
2022-11-23T01:32:31.2299222Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2299294Z             }
2022-11-23T01:32:31.2299367Z             
2022-11-23T01:32:31.2299437Z  - 
2022-11-23T01:32:31.2299568Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2299638Z             {
2022-11-23T01:32:31.2299786Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2299898Z                 'code': None,
2022-11-23T01:32:31.2300112Z                 'obj_weakref': <weakref at 0x7f2068297b00; to 'Tensor' at 0x7f2072854b80>
2022-11-23T01:32:31.2300365Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2300429Z             }
2022-11-23T01:32:31.2300496Z             
2022-11-23T01:32:31.2300571Z  - 
2022-11-23T01:32:31.2300700Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2300769Z             {
2022-11-23T01:32:31.2300918Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2301023Z                 'code': None,
2022-11-23T01:32:31.2301299Z                 'obj_weakref': <weakref at 0x7f202322ae30; to 'Tensor' at 0x7f1fead0b0b0>
2022-11-23T01:32:31.2301578Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2301649Z             }
2022-11-23T01:32:31.2301717Z             
2022-11-23T01:32:31.2301797Z  - 
2022-11-23T01:32:31.2301934Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2301996Z             {
2022-11-23T01:32:31.2302141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2302319Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2302444Z                 'obj_weakref': None
2022-11-23T01:32:31.2302678Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2302748Z             }
2022-11-23T01:32:31.2302816Z             
2022-11-23T01:32:31.2302884Z  - 
2022-11-23T01:32:31.2303015Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2303085Z             {
2022-11-23T01:32:31.2303229Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2303449Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2303572Z                 'obj_weakref': None
2022-11-23T01:32:31.2303799Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2303869Z             }
2022-11-23T01:32:31.2303930Z             
2022-11-23T01:32:31.2304006Z  - 
2022-11-23T01:32:31.2304143Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2304213Z             {
2022-11-23T01:32:31.2304341Z                 'guard_types': None,
2022-11-23T01:32:31.2304453Z                 'code': None,
2022-11-23T01:32:31.2304569Z                 'obj_weakref': None
2022-11-23T01:32:31.2304699Z                 'guarded_class': None
2022-11-23T01:32:31.2304769Z             }
2022-11-23T01:32:31.2304837Z             
2022-11-23T01:32:31.2305103Z [2022-11-23 01:29:35,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453
2022-11-23T01:32:31.2305528Z [2022-11-23 01:29:35,971] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2305534Z 
2022-11-23T01:32:31.2305635Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2305709Z import torch
2022-11-23T01:32:31.2305777Z import random
2022-11-23T01:32:31.2305901Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2306030Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2306036Z 
2022-11-23T01:32:31.2306121Z aten = torch.ops.aten
2022-11-23T01:32:31.2306261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2306359Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2306364Z 
2022-11-23T01:32:31.2306441Z import triton
2022-11-23T01:32:31.2306536Z import triton.language as tl
2022-11-23T01:32:31.2306662Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2306807Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2306813Z 
2022-11-23T01:32:31.2306818Z 
2022-11-23T01:32:31.2307012Z triton_fused_div_3_div_2_div_4_div_1_div0 = async_compile.triton('''
2022-11-23T01:32:31.2307088Z import triton
2022-11-23T01:32:31.2307183Z import triton.language as tl
2022-11-23T01:32:31.2307299Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2307403Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2307533Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2307662Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2307667Z 
2022-11-23T01:32:31.2308140Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2308233Z @triton.jit
2022-11-23T01:32:31.2308419Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2308495Z     xnumel = 10
2022-11-23T01:32:31.2308596Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2308730Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2308816Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2308882Z     x0 = xindex
2022-11-23T01:32:31.2308981Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2309119Z     tmp2 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2309214Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2309304Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.2309384Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.2309649Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.2309726Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.2309863Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2310001Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2310135Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.2310343Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2310490Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2310578Z ''')
2022-11-23T01:32:31.2310583Z 
2022-11-23T01:32:31.2310588Z 
2022-11-23T01:32:31.2310685Z async_compile.wait(globals())
2022-11-23T01:32:31.2310756Z del async_compile
2022-11-23T01:32:31.2310761Z 
2022-11-23T01:32:31.2310838Z def call(args):
2022-11-23T01:32:31.2310919Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2310994Z     args.clear()
2022-11-23T01:32:31.2311202Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2311400Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2311590Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2311777Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2311968Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2312061Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2312247Z     triton_fused_div_3_div_2_div_4_div_1_div0.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2312321Z     del arg0_1
2022-11-23T01:32:31.2312395Z     del arg1_1
2022-11-23T01:32:31.2312498Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2312503Z 
2022-11-23T01:32:31.2312508Z 
2022-11-23T01:32:31.2312590Z if __name__ == "__main__":
2022-11-23T01:32:31.2312707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2312839Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2313042Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2313232Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2313355Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2313360Z 
2022-11-23T01:32:31.2313365Z 
2022-11-23T01:32:31.2313465Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2313541Z import torch
2022-11-23T01:32:31.2313616Z import random
2022-11-23T01:32:31.2313729Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2313857Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2313862Z 
2022-11-23T01:32:31.2313946Z aten = torch.ops.aten
2022-11-23T01:32:31.2314085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2314216Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2314242Z 
2022-11-23T01:32:31.2314319Z import triton
2022-11-23T01:32:31.2314417Z import triton.language as tl
2022-11-23T01:32:31.2314539Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2314681Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2314687Z 
2022-11-23T01:32:31.2314691Z 
2022-11-23T01:32:31.2314888Z triton_fused_div_div_3_div_1_div_4_div_20 = async_compile.triton('''
2022-11-23T01:32:31.2314965Z import triton
2022-11-23T01:32:31.2315059Z import triton.language as tl
2022-11-23T01:32:31.2315177Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2315282Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2315416Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2315537Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2315549Z 
2022-11-23T01:32:31.2315976Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2316055Z @triton.jit
2022-11-23T01:32:31.2316236Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2316312Z     xnumel = 10
2022-11-23T01:32:31.2316413Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2316546Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2316631Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2316696Z     x0 = xindex
2022-11-23T01:32:31.2316797Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2316932Z     tmp2 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2317022Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2317111Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.2317194Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.2317452Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.2317534Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.2317662Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2317799Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2317934Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.2318065Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2318193Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2318280Z ''')
2022-11-23T01:32:31.2318286Z 
2022-11-23T01:32:31.2318290Z 
2022-11-23T01:32:31.2318386Z async_compile.wait(globals())
2022-11-23T01:32:31.2318465Z del async_compile
2022-11-23T01:32:31.2318470Z 
2022-11-23T01:32:31.2318539Z def call(args):
2022-11-23T01:32:31.2318623Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2318702Z     args.clear()
2022-11-23T01:32:31.2318900Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2319092Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2319281Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2319473Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2319653Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2319748Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2319931Z     triton_fused_div_div_3_div_1_div_4_div_20.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2320006Z     del arg0_1
2022-11-23T01:32:31.2320079Z     del arg1_1
2022-11-23T01:32:31.2320181Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2320221Z 
2022-11-23T01:32:31.2320227Z 
2022-11-23T01:32:31.2320336Z if __name__ == "__main__":
2022-11-23T01:32:31.2320460Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2320583Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2320780Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2320967Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2321087Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2321092Z 
2022-11-23T01:32:31.2321462Z [2022-11-23 01:29:36,049] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7utelo5owyzwn7zmkwq42ulnz7isj3bmtshyddtzvaxb3tuoe4.py
2022-11-23T01:32:31.2321738Z [2022-11-23 01:29:36,049] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453
2022-11-23T01:32:31.2321979Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2322304Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2322571Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2322831Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2323114Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2323437Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2323785Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2324113Z [2022-11-23 01:29:36,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2324493Z [2022-11-23 01:29:36,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:31.2324598Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2324696Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2324795Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2324886Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2324986Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2325159Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2325258Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2325263Z 
2022-11-23T01:32:31.2325367Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2325464Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2325564Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2325660Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2325801Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:31.2325968Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2326067Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2326072Z 
2022-11-23T01:32:31.2326172Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2326269Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:31.2326366Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2326461Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2326608Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:31.2326766Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:31.2326896Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.2326931Z 
2022-11-23T01:32:31.2327026Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2327121Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2327211Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.2327216Z 
2022-11-23T01:32:31.2327312Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2327405Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2327490Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:31.2327503Z 
2022-11-23T01:32:31.2327592Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:32:31.2327675Z               56 RETURN_VALUE
2022-11-23T01:32:31.2327744Z  
2022-11-23T01:32:31.2327749Z 
2022-11-23T01:32:31.2328069Z [2022-11-23 01:29:36,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:32:31.2328293Z [2022-11-23 01:29:36,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2328598Z [2022-11-23 01:29:36,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2328851Z [2022-11-23 01:29:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:31.2329124Z [2022-11-23 01:29:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2329436Z [2022-11-23 01:29:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2329805Z [2022-11-23 01:29:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2330206Z [2022-11-23 01:29:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:31.2330516Z [2022-11-23 01:29:36,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:32:31.2330764Z [2022-11-23 01:29:36,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2331090Z [2022-11-23 01:29:36,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2331365Z [2022-11-23 01:29:36,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2331670Z [2022-11-23 01:29:36,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2332011Z [2022-11-23 01:29:36,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2332433Z [2022-11-23 01:29:36,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2332878Z [2022-11-23 01:29:36,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2333196Z [2022-11-23 01:29:36,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:32:31.2333471Z [2022-11-23 01:29:36,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2333859Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2334194Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:31.2334525Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:31.2334891Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2335309Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.2335760Z [2022-11-23 01:29:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.2336082Z [2022-11-23 01:29:36,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:32:31.2336376Z [2022-11-23 01:29:36,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2336696Z [2022-11-23 01:29:36,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2337059Z [2022-11-23 01:29:36,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2337377Z [2022-11-23 01:29:36,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:32:31.2337698Z [2022-11-23 01:29:36,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2338045Z [2022-11-23 01:29:36,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2338431Z [2022-11-23 01:29:36,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2338742Z [2022-11-23 01:29:36,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:32:31.2339263Z [2022-11-23 01:29:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2339549Z [2022-11-23 01:29:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2339982Z [2022-11-23 01:29:36,078] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:31.2340262Z [2022-11-23 01:29:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2340529Z [2022-11-23 01:29:36,078] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2340821Z [2022-11-23 01:29:36,079] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2341164Z [2022-11-23 01:29:36,085] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2341434Z [2022-11-23 01:29:36,085] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2341580Z  __compiled_fn_464 <eval_with_key>.2870 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2341683Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2341780Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2341996Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:31.2342193Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:31.2342390Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:31.2342588Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2342788Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2342921Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:31.2342927Z 
2022-11-23T01:32:31.2343254Z [2022-11-23 01:29:36,085] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2343361Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2343463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2343557Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2343659Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2343752Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2343854Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2343929Z              12 RETURN_VALUE
2022-11-23T01:32:31.2343935Z 
2022-11-23T01:32:31.2344001Z  
2022-11-23T01:32:31.2344331Z [2022-11-23 01:29:36,085] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2344449Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_464)
2022-11-23T01:32:31.2344551Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2344653Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2344736Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2344824Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2344917Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2345000Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2345096Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2345210Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2345321Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2345420Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2345502Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2345604Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2345700Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2345783Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2345893Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2345991Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2346073Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2346181Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2346268Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2346350Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2346458Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2346552Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:31.2346637Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2346731Z              48 BUILD_TUPLE              5
2022-11-23T01:32:31.2346818Z              50 RETURN_VALUE
2022-11-23T01:32:31.2346823Z 
2022-11-23T01:32:31.2346882Z  
2022-11-23T01:32:31.2347073Z [2022-11-23 01:29:36,086] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2347151Z  - 
2022-11-23T01:32:31.2347313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2347404Z             {
2022-11-23T01:32:31.2347551Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2347744Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2347863Z                 'obj_weakref': None
2022-11-23T01:32:31.2348096Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2348167Z             }
2022-11-23T01:32:31.2348236Z             
2022-11-23T01:32:31.2348312Z  - 
2022-11-23T01:32:31.2348443Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2348514Z             {
2022-11-23T01:32:31.2348657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2348771Z                 'code': None,
2022-11-23T01:32:31.2348985Z                 'obj_weakref': <weakref at 0x7f2068297b00; to 'Tensor' at 0x7f2072854b80>
2022-11-23T01:32:31.2349246Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2349318Z             }
2022-11-23T01:32:31.2349387Z             
2022-11-23T01:32:31.2349463Z  - 
2022-11-23T01:32:31.2349584Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2349654Z             {
2022-11-23T01:32:31.2349803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2349916Z                 'code': None,
2022-11-23T01:32:31.2350134Z                 'obj_weakref': <weakref at 0x7f202322ae30; to 'Tensor' at 0x7f1fead0b0b0>
2022-11-23T01:32:31.2350472Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2350557Z             }
2022-11-23T01:32:31.2350630Z             
2022-11-23T01:32:31.2350724Z  - 
2022-11-23T01:32:31.2350887Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2350970Z             {
2022-11-23T01:32:31.2351140Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2351322Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2351451Z                 'obj_weakref': None
2022-11-23T01:32:31.2351681Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2351753Z             }
2022-11-23T01:32:31.2351823Z             
2022-11-23T01:32:31.2351898Z  - 
2022-11-23T01:32:31.2352027Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2352096Z             {
2022-11-23T01:32:31.2352239Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2352452Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2352578Z                 'obj_weakref': None
2022-11-23T01:32:31.2352807Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2352877Z             }
2022-11-23T01:32:31.2352945Z             
2022-11-23T01:32:31.2353023Z  - 
2022-11-23T01:32:31.2353162Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2353226Z             {
2022-11-23T01:32:31.2353352Z                 'guard_types': None,
2022-11-23T01:32:31.2353464Z                 'code': None,
2022-11-23T01:32:31.2353590Z                 'obj_weakref': None
2022-11-23T01:32:31.2353718Z                 'guarded_class': None
2022-11-23T01:32:31.2353787Z             }
2022-11-23T01:32:31.2353856Z             
2022-11-23T01:32:31.2354116Z [2022-11-23 01:29:36,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454
2022-11-23T01:32:31.2354536Z [2022-11-23 01:29:36,110] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.2354905Z [2022-11-23 01:29:36,119] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ad/cad2zmnpfulpu5qiwoqvqbqp4wfjo2h3byl3ce4vufcofg3libq3.py
2022-11-23T01:32:31.2355217Z [2022-11-23 01:29:36,119] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454
2022-11-23T01:32:31.2355244Z 
2022-11-23T01:32:31.2355350Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2355425Z import torch
2022-11-23T01:32:31.2355501Z import random
2022-11-23T01:32:31.2355623Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2355745Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2355757Z 
2022-11-23T01:32:31.2355833Z aten = torch.ops.aten
2022-11-23T01:32:31.2355974Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2356074Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2356079Z 
2022-11-23T01:32:31.2356153Z import triton
2022-11-23T01:32:31.2356247Z import triton.language as tl
2022-11-23T01:32:31.2356378Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2356522Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2356531Z 
2022-11-23T01:32:31.2356536Z 
2022-11-23T01:32:31.2356728Z triton_fused_div_2_div_4_div_3_div_div_10 = async_compile.triton('''
2022-11-23T01:32:31.2356803Z import triton
2022-11-23T01:32:31.2356898Z import triton.language as tl
2022-11-23T01:32:31.2357016Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2357120Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2357255Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2357384Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2357390Z 
2022-11-23T01:32:31.2357824Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2357900Z @triton.jit
2022-11-23T01:32:31.2358078Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2358155Z     xnumel = 10
2022-11-23T01:32:31.2358254Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2358388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2358474Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2358547Z     x0 = xindex
2022-11-23T01:32:31.2358683Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2358776Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2358866Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2358955Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.2359035Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.2359291Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.2359372Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.2359514Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2359646Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2359783Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.2359917Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2360048Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2360137Z ''')
2022-11-23T01:32:31.2360143Z 
2022-11-23T01:32:31.2360147Z 
2022-11-23T01:32:31.2360243Z async_compile.wait(globals())
2022-11-23T01:32:31.2360321Z del async_compile
2022-11-23T01:32:31.2360326Z 
2022-11-23T01:32:31.2360403Z def call(args):
2022-11-23T01:32:31.2360476Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2360557Z     args.clear()
2022-11-23T01:32:31.2360755Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2360944Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2361164Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2361376Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2361564Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2361658Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2361836Z     triton_fused_div_2_div_4_div_3_div_div_10.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2361911Z     del arg0_1
2022-11-23T01:32:31.2361985Z     del arg1_1
2022-11-23T01:32:31.2362089Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2362095Z 
2022-11-23T01:32:31.2362100Z 
2022-11-23T01:32:31.2362183Z if __name__ == "__main__":
2022-11-23T01:32:31.2362318Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2362463Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2362665Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2362859Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2362985Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2362991Z 
2022-11-23T01:32:31.2362995Z 
2022-11-23T01:32:31.2363095Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2363170Z import torch
2022-11-23T01:32:31.2363248Z import random
2022-11-23T01:32:31.2363370Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2363499Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2363504Z 
2022-11-23T01:32:31.2363580Z aten = torch.ops.aten
2022-11-23T01:32:31.2363722Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2363822Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2363827Z 
2022-11-23T01:32:31.2363903Z import triton
2022-11-23T01:32:31.2364002Z import triton.language as tl
2022-11-23T01:32:31.2364131Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2364277Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2364285Z 
2022-11-23T01:32:31.2364290Z 
2022-11-23T01:32:31.2364484Z triton_fused_div_2_div_div_1_div_3_div_40 = async_compile.triton('''
2022-11-23T01:32:31.2364553Z import triton
2022-11-23T01:32:31.2364647Z import triton.language as tl
2022-11-23T01:32:31.2364763Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2364869Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2365005Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2365134Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2365139Z 
2022-11-23T01:32:31.2365568Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*i64', 4: '*i64', 5: '*fp32', 6: '*i64', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.2365646Z @triton.jit
2022-11-23T01:32:31.2365819Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2365899Z     xnumel = 10
2022-11-23T01:32:31.2365999Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2366132Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2366220Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2366293Z     x0 = xindex
2022-11-23T01:32:31.2366430Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2366530Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2366613Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2366702Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.2366782Z     tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.2367037Z     tmp5 = tl.where((tmp0 < 0) != (tmp2 < 0), tl.where(tmp0 % tmp2 != 0, tmp0 // tmp2 - 1, tmp0 // tmp2), tmp0 // tmp2)
2022-11-23T01:32:31.2367119Z     tmp6 = tmp0 // tmp2
2022-11-23T01:32:31.2367287Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2367444Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2367568Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.2367702Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2367833Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2367922Z ''')
2022-11-23T01:32:31.2367928Z 
2022-11-23T01:32:31.2367932Z 
2022-11-23T01:32:31.2368027Z async_compile.wait(globals())
2022-11-23T01:32:31.2368105Z del async_compile
2022-11-23T01:32:31.2368110Z 
2022-11-23T01:32:31.2368187Z def call(args):
2022-11-23T01:32:31.2368270Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2368340Z     args.clear()
2022-11-23T01:32:31.2368535Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2368727Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2368915Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2369108Z     buf3 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2369296Z     buf4 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2369390Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2369577Z     triton_fused_div_2_div_div_1_div_3_div_40.run(arg0_1, arg1_1, buf0, buf1, buf2, buf3, buf4, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.2369644Z     del arg0_1
2022-11-23T01:32:31.2369718Z     del arg1_1
2022-11-23T01:32:31.2369821Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2369827Z 
2022-11-23T01:32:31.2369831Z 
2022-11-23T01:32:31.2369913Z if __name__ == "__main__":
2022-11-23T01:32:31.2370036Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2370168Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2370354Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2370540Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2370660Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2370665Z 
2022-11-23T01:32:31.2370739Z ok (1.371s)
2022-11-23T01:32:31.2371254Z   test_dropout_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.2371338Z   warnings.warn(
2022-11-23T01:32:31.2371581Z [2022-11-23 01:29:36,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1
2022-11-23T01:32:31.2371902Z [2022-11-23 01:29:36,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3825
2022-11-23T01:32:31.2372124Z [2022-11-23 01:29:36,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2372514Z [2022-11-23 01:29:36,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2372913Z [2022-11-23 01:29:36,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.2373312Z [2022-11-23 01:29:36,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.2373611Z [2022-11-23 01:29:36,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.2373959Z [2022-11-23 01:29:36,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.2374241Z [2022-11-23 01:29:36,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2374481Z [2022-11-23 01:29:36,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1
2022-11-23T01:32:31.2374727Z [2022-11-23 01:29:36,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.2374970Z [2022-11-23 01:29:36,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.2375161Z [2022-11-23 01:29:36,131] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2375305Z  __compiled_fn_465 <eval_with_key>.2876 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2375400Z placeholder, a, a, (), {}
2022-11-23T01:32:31.2375553Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a,), {}
2022-11-23T01:32:31.2375671Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.2375680Z 
2022-11-23T01:32:31.2376006Z [2022-11-23 01:29:36,131] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:31.2376109Z 3825           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2376209Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.2376318Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.2376423Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:31.2376519Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2376608Z               10 CALL_METHOD              1
2022-11-23T01:32:31.2376692Z               12 RETURN_VALUE
2022-11-23T01:32:31.2376697Z 
2022-11-23T01:32:31.2376763Z  
2022-11-23T01:32:31.2377088Z [2022-11-23 01:29:36,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:31.2377207Z 3823           0 LOAD_GLOBAL              4 (__compiled_fn_465)
2022-11-23T01:32:31.2377303Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2377402Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.2377494Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2377579Z                8 RETURN_VALUE
2022-11-23T01:32:31.2377584Z 
2022-11-23T01:32:31.2377649Z  
2022-11-23T01:32:31.2377836Z [2022-11-23 01:29:36,132] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2377913Z  - 
2022-11-23T01:32:31.2378039Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.2378109Z             {
2022-11-23T01:32:31.2378250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2378362Z                 'code': None,
2022-11-23T01:32:31.2378575Z                 'obj_weakref': <weakref at 0x7f20680536a0; to 'Tensor' at 0x7f1fead0b0b0>
2022-11-23T01:32:31.2379030Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2379108Z             }
2022-11-23T01:32:31.2379179Z             
2022-11-23T01:32:31.2379259Z  - 
2022-11-23T01:32:31.2379397Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2379460Z             {
2022-11-23T01:32:31.2379585Z                 'guard_types': None,
2022-11-23T01:32:31.2379697Z                 'code': None,
2022-11-23T01:32:31.2379819Z                 'obj_weakref': None
2022-11-23T01:32:31.2379945Z                 'guarded_class': None
2022-11-23T01:32:31.2380013Z             }
2022-11-23T01:32:31.2380075Z             
2022-11-23T01:32:31.2380338Z [2022-11-23 01:29:36,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455
2022-11-23T01:32:31.2380595Z [2022-11-23 01:29:36,140] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.2380892Z [2022-11-23 01:29:36,146] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2381284Z [2022-11-23 01:29:36,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yy/cyydkyzkuobxuunx62bblpmoojopdolv3glezn2kxl35j6swqvqv.py
2022-11-23T01:32:31.2381549Z [2022-11-23 01:29:36,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455
2022-11-23T01:32:31.2381786Z [2022-11-23 01:29:36,482] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2
2022-11-23T01:32:31.2382101Z [2022-11-23 01:29:36,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3837
2022-11-23T01:32:31.2382325Z [2022-11-23 01:29:36,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2382694Z [2022-11-23 01:29:36,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2383066Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.2383464Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.2383754Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.2384070Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.2384428Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.2384822Z [2022-11-23 01:29:36,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.2385072Z [2022-11-23 01:29:36,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2385309Z [2022-11-23 01:29:36,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2
2022-11-23T01:32:31.2385557Z [2022-11-23 01:29:36,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.2385797Z [2022-11-23 01:29:36,490] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.2385989Z [2022-11-23 01:29:36,490] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2386128Z  __compiled_fn_466 <eval_with_key>.2882 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2386217Z placeholder, a, a, (), {}
2022-11-23T01:32:31.2386383Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.5, True), {}
2022-11-23T01:32:31.2386503Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.2386508Z 
2022-11-23T01:32:31.2386833Z [2022-11-23 01:29:36,490] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:31.2386937Z 3837           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2387036Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.2387145Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.2387243Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:31.2387339Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2387437Z               10 LOAD_CONST               1 (0.5)
2022-11-23T01:32:31.2387569Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:31.2387684Z               14 CALL_METHOD              3
2022-11-23T01:32:31.2387770Z               16 RETURN_VALUE
2022-11-23T01:32:31.2387775Z 
2022-11-23T01:32:31.2387843Z  
2022-11-23T01:32:31.2388168Z [2022-11-23 01:29:36,490] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:31.2388278Z 3835           0 LOAD_GLOBAL              4 (__compiled_fn_466)
2022-11-23T01:32:31.2388375Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2388473Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.2388573Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2388655Z                8 RETURN_VALUE
2022-11-23T01:32:31.2388660Z 
2022-11-23T01:32:31.2388726Z  
2022-11-23T01:32:31.2388914Z [2022-11-23 01:29:36,491] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2388983Z  - 
2022-11-23T01:32:31.2389112Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.2389182Z             {
2022-11-23T01:32:31.2389331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2389443Z                 'code': None,
2022-11-23T01:32:31.2389656Z                 'obj_weakref': <weakref at 0x7f20680536a0; to 'Tensor' at 0x7f1fead0b0b0>
2022-11-23T01:32:31.2389910Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2389973Z             }
2022-11-23T01:32:31.2390042Z             
2022-11-23T01:32:31.2390118Z  - 
2022-11-23T01:32:31.2390325Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2390410Z             {
2022-11-23T01:32:31.2390557Z                 'guard_types': None,
2022-11-23T01:32:31.2390670Z                 'code': None,
2022-11-23T01:32:31.2390788Z                 'obj_weakref': None
2022-11-23T01:32:31.2390916Z                 'guarded_class': None
2022-11-23T01:32:31.2390985Z             }
2022-11-23T01:32:31.2391057Z             
2022-11-23T01:32:31.2391317Z [2022-11-23 01:29:36,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456
2022-11-23T01:32:31.2391577Z [2022-11-23 01:29:36,500] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.2391827Z [2022-11-23 01:29:36,506] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2392181Z [2022-11-23 01:29:36,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n4/cn4l533q5x2mfxf7igu7v7uog5dnm6nsp5or32hqui2s62hooyv2.py
2022-11-23T01:32:31.2392494Z [2022-11-23 01:29:36,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456
2022-11-23T01:32:31.2392499Z 
2022-11-23T01:32:31.2392601Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2392677Z import torch
2022-11-23T01:32:31.2392752Z import random
2022-11-23T01:32:31.2392875Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2393006Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2393014Z 
2022-11-23T01:32:31.2393097Z aten = torch.ops.aten
2022-11-23T01:32:31.2393238Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2393330Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2393335Z 
2022-11-23T01:32:31.2393412Z import triton
2022-11-23T01:32:31.2393506Z import triton.language as tl
2022-11-23T01:32:31.2393635Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2393781Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2393948Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.2393954Z 
2022-11-23T01:32:31.2393959Z 
2022-11-23T01:32:31.2394206Z triton_fused_philox_seed_like__to_copy_mul_philox_rand_like_gt_mul_10 = async_compile.triton('''
2022-11-23T01:32:31.2394282Z import triton
2022-11-23T01:32:31.2394369Z import triton.language as tl
2022-11-23T01:32:31.2394520Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2394644Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2394781Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2394912Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2394917Z 
2022-11-23T01:32:31.2395309Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2395383Z @triton.jit
2022-11-23T01:32:31.2395527Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2395596Z     xnumel = 1000
2022-11-23T01:32:31.2395697Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2395831Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2395916Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2395991Z     x0 = xindex
2022-11-23T01:32:31.2396124Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2396229Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2396294Z     tmp1 = x0
2022-11-23T01:32:31.2396385Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.2396460Z     tmp3 = 0.5
2022-11-23T01:32:31.2396540Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.2396631Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.2396710Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.2396776Z     tmp8 = 2.0
2022-11-23T01:32:31.2396856Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.2396995Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.2397083Z ''')
2022-11-23T01:32:31.2397088Z 
2022-11-23T01:32:31.2397093Z 
2022-11-23T01:32:31.2397188Z async_compile.wait(globals())
2022-11-23T01:32:31.2397266Z del async_compile
2022-11-23T01:32:31.2397271Z 
2022-11-23T01:32:31.2397347Z def call(args):
2022-11-23T01:32:31.2397423Z     arg0_1, = args
2022-11-23T01:32:31.2397494Z     args.clear()
2022-11-23T01:32:31.2397634Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.2397838Z     buf0 = empty_strided((1000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2397931Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2398135Z     triton_fused_philox_seed_like__to_copy_mul_philox_rand_like_gt_mul_10.run(seed_cuda_0, arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:31.2398208Z     del arg0_1
2022-11-23T01:32:31.2398285Z     return (buf0, )
2022-11-23T01:32:31.2398290Z 
2022-11-23T01:32:31.2398294Z 
2022-11-23T01:32:31.2398376Z if __name__ == "__main__":
2022-11-23T01:32:31.2398489Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2398620Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2398818Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2399023Z     arg0_1 = rand_strided((1000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2399142Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2399147Z 
2022-11-23T01:32:31.2399151Z 
2022-11-23T01:32:31.2399253Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2399328Z import torch
2022-11-23T01:32:31.2399404Z import random
2022-11-23T01:32:31.2399519Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2399645Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2399650Z 
2022-11-23T01:32:31.2399733Z aten = torch.ops.aten
2022-11-23T01:32:31.2399873Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2399972Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2399977Z 
2022-11-23T01:32:31.2400054Z import triton
2022-11-23T01:32:31.2400148Z import triton.language as tl
2022-11-23T01:32:31.2400269Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2400443Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2400614Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.2400640Z 
2022-11-23T01:32:31.2400644Z 
2022-11-23T01:32:31.2400889Z triton_fused_gt_mul_1__to_copy_mul_philox_rand_like_philox_seed_like0 = async_compile.triton('''
2022-11-23T01:32:31.2400966Z import triton
2022-11-23T01:32:31.2401058Z import triton.language as tl
2022-11-23T01:32:31.2401174Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2401278Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2401406Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2401535Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2401541Z 
2022-11-23T01:32:31.2401928Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2402005Z @triton.jit
2022-11-23T01:32:31.2402150Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2402230Z     xnumel = 1000
2022-11-23T01:32:31.2402331Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2402464Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2402542Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2402614Z     x0 = xindex
2022-11-23T01:32:31.2402746Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2402846Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2402919Z     tmp1 = x0
2022-11-23T01:32:31.2403008Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.2403084Z     tmp3 = 0.5
2022-11-23T01:32:31.2403157Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.2403246Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.2403325Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.2403398Z     tmp8 = 2.0
2022-11-23T01:32:31.2403477Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.2403618Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.2403711Z ''')
2022-11-23T01:32:31.2403716Z 
2022-11-23T01:32:31.2403721Z 
2022-11-23T01:32:31.2403808Z async_compile.wait(globals())
2022-11-23T01:32:31.2403887Z del async_compile
2022-11-23T01:32:31.2403892Z 
2022-11-23T01:32:31.2403968Z def call(args):
2022-11-23T01:32:31.2404042Z     arg0_1, = args
2022-11-23T01:32:31.2404121Z     args.clear()
2022-11-23T01:32:31.2404257Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.2404459Z     buf0 = empty_strided((1000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2404544Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2404749Z     triton_fused_gt_mul_1__to_copy_mul_philox_rand_like_philox_seed_like0.run(seed_cuda_0, arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:31.2404823Z     del arg0_1
2022-11-23T01:32:31.2404900Z     return (buf0, )
2022-11-23T01:32:31.2404906Z 
2022-11-23T01:32:31.2404913Z 
2022-11-23T01:32:31.2404994Z if __name__ == "__main__":
2022-11-23T01:32:31.2405116Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2405246Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2405442Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2405637Z     arg0_1 = rand_strided((1000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2405751Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2405757Z 
2022-11-23T01:32:31.2405830Z ok (0.508s)
2022-11-23T01:32:31.2406161Z   test_dropout_deterministic_cuda (__main__.CudaTests) ... [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.2406479Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:32:31.2406739Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2407117Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2407493Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.2407889Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.2408179Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.2408499Z [2022-11-23 01:29:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.2408848Z [2022-11-23 01:29:36,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.2409239Z [2022-11-23 01:29:36,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.2409490Z [2022-11-23 01:29:36,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2409728Z [2022-11-23 01:29:36,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.2409976Z [2022-11-23 01:29:36,636] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.2410220Z [2022-11-23 01:29:36,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.2410418Z [2022-11-23 01:29:36,640] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2410562Z  __compiled_fn_467 <eval_with_key>.2888 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2410654Z placeholder, a, a, (), {}
2022-11-23T01:32:31.2410813Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.55, True), {}
2022-11-23T01:32:31.2410933Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.2410938Z 
2022-11-23T01:32:31.2411266Z [2022-11-23 01:29:36,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:31.2411370Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2411469Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.2411577Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.2411687Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:31.2411788Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2411880Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:31.2411980Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:31.2412076Z               14 CALL_METHOD              3
2022-11-23T01:32:31.2412158Z               16 RETURN_VALUE
2022-11-23T01:32:31.2412163Z 
2022-11-23T01:32:31.2412236Z  
2022-11-23T01:32:31.2412558Z [2022-11-23 01:29:36,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:31.2412677Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_467)
2022-11-23T01:32:31.2412778Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2412870Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.2412970Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2413053Z                8 RETURN_VALUE
2022-11-23T01:32:31.2413086Z 
2022-11-23T01:32:31.2413154Z  
2022-11-23T01:32:31.2413371Z [2022-11-23 01:29:36,640] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2413450Z  - 
2022-11-23T01:32:31.2413579Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.2413642Z             {
2022-11-23T01:32:31.2413793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2413909Z                 'code': None,
2022-11-23T01:32:31.2414127Z                 'obj_weakref': <weakref at 0x7f20606cd490; to 'Tensor' at 0x7f2127997970>
2022-11-23T01:32:31.2414384Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2414454Z             }
2022-11-23T01:32:31.2414524Z             
2022-11-23T01:32:31.2414593Z  - 
2022-11-23T01:32:31.2414734Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2414803Z             {
2022-11-23T01:32:31.2414932Z                 'guard_types': None,
2022-11-23T01:32:31.2415046Z                 'code': None,
2022-11-23T01:32:31.2415174Z                 'obj_weakref': None
2022-11-23T01:32:31.2415302Z                 'guarded_class': None
2022-11-23T01:32:31.2415364Z             }
2022-11-23T01:32:31.2415432Z             
2022-11-23T01:32:31.2415699Z [2022-11-23 01:29:36,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457
2022-11-23T01:32:31.2415959Z [2022-11-23 01:29:36,649] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.2416213Z [2022-11-23 01:29:36,655] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2416579Z [2022-11-23 01:29:36,785] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vr/cvrv5ik2lnk4uxohhvkkicg6pz2nbikomwm6h4gimo336ne374oo.py
2022-11-23T01:32:31.2416846Z [2022-11-23 01:29:36,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457
2022-11-23T01:32:31.2417090Z [2022-11-23 01:29:36,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.2417406Z [2022-11-23 01:29:36,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:32:31.2417622Z [2022-11-23 01:29:36,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2417986Z [2022-11-23 01:29:36,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2418364Z [2022-11-23 01:29:36,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.2418766Z [2022-11-23 01:29:36,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.2419298Z [2022-11-23 01:29:36,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.2419668Z [2022-11-23 01:29:36,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.2420082Z [2022-11-23 01:29:36,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.2420543Z [2022-11-23 01:29:36,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.2420824Z [2022-11-23 01:29:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2421142Z [2022-11-23 01:29:36,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.2421459Z [2022-11-23 01:29:36,792] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.2421726Z [2022-11-23 01:29:36,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.2421943Z [2022-11-23 01:29:36,795] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2422098Z  __compiled_fn_468 <eval_with_key>.2894 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2422193Z placeholder, a, a, (), {}
2022-11-23T01:32:31.2422397Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (a, 0.55, True), {}
2022-11-23T01:32:31.2422547Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.2422554Z 
2022-11-23T01:32:31.2422932Z [2022-11-23 01:29:36,795] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:31.2423042Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2423143Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.2423250Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.2423359Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:31.2423459Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2423561Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:31.2423661Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:31.2423761Z               14 CALL_METHOD              3
2022-11-23T01:32:31.2423844Z               16 RETURN_VALUE
2022-11-23T01:32:31.2423849Z 
2022-11-23T01:32:31.2423909Z  
2022-11-23T01:32:31.2424277Z [2022-11-23 01:29:36,795] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:31.2424404Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_468)
2022-11-23T01:32:31.2424509Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2424610Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.2424711Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2424794Z                8 RETURN_VALUE
2022-11-23T01:32:31.2424800Z 
2022-11-23T01:32:31.2424867Z  
2022-11-23T01:32:31.2425068Z [2022-11-23 01:29:36,796] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2425146Z  - 
2022-11-23T01:32:31.2425281Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.2425353Z             {
2022-11-23T01:32:31.2425516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2425636Z                 'code': None,
2022-11-23T01:32:31.2425876Z                 'obj_weakref': <weakref at 0x7f1fead28040; to 'Tensor' at 0x7f20727f99e0>
2022-11-23T01:32:31.2426155Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2426228Z             }
2022-11-23T01:32:31.2426302Z             
2022-11-23T01:32:31.2426380Z  - 
2022-11-23T01:32:31.2426533Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2426604Z             {
2022-11-23T01:32:31.2426740Z                 'guard_types': None,
2022-11-23T01:32:31.2426853Z                 'code': None,
2022-11-23T01:32:31.2426988Z                 'obj_weakref': None
2022-11-23T01:32:31.2427125Z                 'guarded_class': None
2022-11-23T01:32:31.2427196Z             }
2022-11-23T01:32:31.2427265Z             
2022-11-23T01:32:31.2427560Z [2022-11-23 01:29:36,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458
2022-11-23T01:32:31.2427851Z [2022-11-23 01:29:36,804] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.2428124Z [2022-11-23 01:29:36,810] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2428583Z [2022-11-23 01:29:36,816] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bx/cbxyjhixolldwu4pvreqqk2p6sownqvsarlrmz52rmy22tjditiz.py
2022-11-23T01:32:31.2428906Z [2022-11-23 01:29:36,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458
2022-11-23T01:32:31.2428912Z 
2022-11-23T01:32:31.2429018Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2429094Z import torch
2022-11-23T01:32:31.2429169Z import random
2022-11-23T01:32:31.2429300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2429436Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2429442Z 
2022-11-23T01:32:31.2429520Z aten = torch.ops.aten
2022-11-23T01:32:31.2429671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2429774Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2429779Z 
2022-11-23T01:32:31.2429856Z import triton
2022-11-23T01:32:31.2429955Z import triton.language as tl
2022-11-23T01:32:31.2430095Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2430319Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2430519Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.2430525Z 
2022-11-23T01:32:31.2430530Z 
2022-11-23T01:32:31.2430767Z triton_fused_gt_philox_rand_like_mul_1_mul__to_copy_philox_seed_like0 = async_compile.triton('''
2022-11-23T01:32:31.2430844Z import triton
2022-11-23T01:32:31.2430938Z import triton.language as tl
2022-11-23T01:32:31.2431054Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2431159Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2431294Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2431423Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2431428Z 
2022-11-23T01:32:31.2431824Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2431895Z @triton.jit
2022-11-23T01:32:31.2432040Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2432116Z     xnumel = 1024
2022-11-23T01:32:31.2432217Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2432352Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2432438Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2432510Z     x0 = xindex
2022-11-23T01:32:31.2432633Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2432731Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2432804Z     tmp1 = x0
2022-11-23T01:32:31.2432894Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.2432969Z     tmp3 = 0.55
2022-11-23T01:32:31.2433049Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.2433140Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.2433216Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.2433299Z     tmp8 = 2.2222222222222223
2022-11-23T01:32:31.2433382Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.2433524Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.2433612Z ''')
2022-11-23T01:32:31.2433617Z 
2022-11-23T01:32:31.2433622Z 
2022-11-23T01:32:31.2433718Z async_compile.wait(globals())
2022-11-23T01:32:31.2433796Z del async_compile
2022-11-23T01:32:31.2433802Z 
2022-11-23T01:32:31.2433878Z def call(args):
2022-11-23T01:32:31.2433946Z     arg0_1, = args
2022-11-23T01:32:31.2434024Z     args.clear()
2022-11-23T01:32:31.2434163Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.2434367Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2434460Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2434697Z     triton_fused_gt_philox_rand_like_mul_1_mul__to_copy_philox_seed_like0.run(seed_cuda_0, arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.2434791Z     del arg0_1
2022-11-23T01:32:31.2434861Z     return (buf0, )
2022-11-23T01:32:31.2434867Z 
2022-11-23T01:32:31.2434879Z 
2022-11-23T01:32:31.2434955Z if __name__ == "__main__":
2022-11-23T01:32:31.2435076Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2435208Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2435407Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2435609Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2435729Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2435734Z 
2022-11-23T01:32:31.2435739Z 
2022-11-23T01:32:31.2435843Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2435911Z import torch
2022-11-23T01:32:31.2435990Z import random
2022-11-23T01:32:31.2436113Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2436242Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2436250Z 
2022-11-23T01:32:31.2436334Z aten = torch.ops.aten
2022-11-23T01:32:31.2436477Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2436575Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2436581Z 
2022-11-23T01:32:31.2436659Z import triton
2022-11-23T01:32:31.2436745Z import triton.language as tl
2022-11-23T01:32:31.2436874Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2437019Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2437186Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.2437191Z 
2022-11-23T01:32:31.2437196Z 
2022-11-23T01:32:31.2437440Z triton_fused_mul_gt_philox_rand_like_philox_seed_like_mul_1__to_copy0 = async_compile.triton('''
2022-11-23T01:32:31.2437516Z import triton
2022-11-23T01:32:31.2437610Z import triton.language as tl
2022-11-23T01:32:31.2437727Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2437826Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2437963Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2438090Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2438095Z 
2022-11-23T01:32:31.2438482Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2438560Z @triton.jit
2022-11-23T01:32:31.2438706Z def kernel(seed0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2438782Z     xnumel = 1024
2022-11-23T01:32:31.2438883Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2439008Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2439095Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2439167Z     x0 = xindex
2022-11-23T01:32:31.2439304Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.2439407Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2439480Z     tmp1 = x0
2022-11-23T01:32:31.2439570Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.2439637Z     tmp3 = 0.55
2022-11-23T01:32:31.2439717Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.2439806Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.2439885Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.2439966Z     tmp8 = 2.2222222222222223
2022-11-23T01:32:31.2440045Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.2440177Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.2440263Z ''')
2022-11-23T01:32:31.2440269Z 
2022-11-23T01:32:31.2440273Z 
2022-11-23T01:32:31.2440370Z async_compile.wait(globals())
2022-11-23T01:32:31.2440448Z del async_compile
2022-11-23T01:32:31.2440453Z 
2022-11-23T01:32:31.2440529Z def call(args):
2022-11-23T01:32:31.2440605Z     arg0_1, = args
2022-11-23T01:32:31.2440720Z     args.clear()
2022-11-23T01:32:31.2440879Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.2441074Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2441166Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2441372Z     triton_fused_mul_gt_philox_rand_like_philox_seed_like_mul_1__to_copy0.run(seed_cuda_0, arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.2441450Z     del arg0_1
2022-11-23T01:32:31.2441528Z     return (buf0, )
2022-11-23T01:32:31.2441533Z 
2022-11-23T01:32:31.2441538Z 
2022-11-23T01:32:31.2441620Z if __name__ == "__main__":
2022-11-23T01:32:31.2441744Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2441875Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2442068Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2442276Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2442417Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2442422Z 
2022-11-23T01:32:31.2442498Z ok (0.303s)
2022-11-23T01:32:31.2442854Z   test_dtype_mismatch_issue_cuda (__main__.CudaTests) ... [2022-11-23 01:29:36,937] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.2443178Z [2022-11-23 01:29:36,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4613
2022-11-23T01:32:31.2443404Z [2022-11-23 01:29:36,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2443771Z [2022-11-23 01:29:36,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2444161Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.2444563Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.2444834Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in function pad>)]
2022-11-23T01:32:31.2445135Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), TensorVariable()]
2022-11-23T01:32:31.2446819Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2447191Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2447520Z [2022-11-23 01:29:36,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.2447767Z [2022-11-23 01:29:36,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()]
2022-11-23T01:32:31.2448085Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4614
2022-11-23T01:32:31.2448302Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn []
2022-11-23T01:32:31.2448550Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()]
2022-11-23T01:32:31.2448832Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)]
2022-11-23T01:32:31.2449203Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)]
2022-11-23T01:32:31.2449580Z [2022-11-23 01:29:36,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:31.2449829Z [2022-11-23 01:29:36,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2450068Z [2022-11-23 01:29:36,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.2450314Z [2022-11-23 01:29:36,944] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.2450554Z [2022-11-23 01:29:36,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.2450749Z [2022-11-23 01:29:36,948] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2450897Z  __compiled_fn_469 <eval_with_key>.2900 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2450989Z placeholder, x, x, (), {}
2022-11-23T01:32:31.2451164Z call_function, pad, <built-in function pad>, (x, [0, 1]), {}
2022-11-23T01:32:31.2451328Z call_method, softmax, softmax, (pad,), {'dim': -1}
2022-11-23T01:32:31.2451435Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:31.2451441Z 
2022-11-23T01:32:31.2451770Z [2022-11-23 01:29:36,948] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:31.2451874Z 4613           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2451973Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.2452083Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.2452186Z                6 LOAD_METHOD              3 (pad)
2022-11-23T01:32:31.2452277Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2452378Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2452474Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2452575Z               14 BUILD_LIST               2
2022-11-23T01:32:31.2452670Z               16 CALL_METHOD              2
2022-11-23T01:32:31.2452775Z               18 STORE_FAST               1 (attn)
2022-11-23T01:32:31.2452780Z 
2022-11-23T01:32:31.2452878Z 4614          20 LOAD_FAST                1 (attn)
2022-11-23T01:32:31.2452981Z               22 LOAD_ATTR                4 (softmax)
2022-11-23T01:32:31.2453116Z               24 LOAD_CONST               3 (-1)
2022-11-23T01:32:31.2453268Z               26 LOAD_CONST               4 (('dim',))
2022-11-23T01:32:31.2453367Z               28 CALL_FUNCTION_KW         1
2022-11-23T01:32:31.2453451Z               30 RETURN_VALUE
2022-11-23T01:32:31.2453456Z 
2022-11-23T01:32:31.2453523Z  
2022-11-23T01:32:31.2453852Z [2022-11-23 01:29:36,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:31.2453972Z 4612           0 LOAD_GLOBAL              5 (__compiled_fn_469)
2022-11-23T01:32:31.2454068Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2454159Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.2454259Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2454344Z                8 RETURN_VALUE
2022-11-23T01:32:31.2454349Z 
2022-11-23T01:32:31.2454415Z  
2022-11-23T01:32:31.2454605Z [2022-11-23 01:29:36,948] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2454683Z  - 
2022-11-23T01:32:31.2454808Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.2454872Z             {
2022-11-23T01:32:31.2455021Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2455134Z                 'code': None,
2022-11-23T01:32:31.2455352Z                 'obj_weakref': <weakref at 0x7f1fead29300; to 'Tensor' at 0x7f1ff81a7ec0>
2022-11-23T01:32:31.2455637Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2455727Z             }
2022-11-23T01:32:31.2455799Z             
2022-11-23T01:32:31.2455869Z  - 
2022-11-23T01:32:31.2456008Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2456078Z             {
2022-11-23T01:32:31.2456206Z                 'guard_types': None,
2022-11-23T01:32:31.2456320Z                 'code': None,
2022-11-23T01:32:31.2456444Z                 'obj_weakref': None
2022-11-23T01:32:31.2456571Z                 'guarded_class': None
2022-11-23T01:32:31.2456633Z             }
2022-11-23T01:32:31.2456703Z             
2022-11-23T01:32:31.2456964Z [2022-11-23 01:29:36,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459
2022-11-23T01:32:31.2457331Z [2022-11-23 01:29:36,987] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/47/c47psyxbna5vehwua6vukjqxzy6hahgemwhvj56hyyn2zsvvwrju.py
2022-11-23T01:32:31.2457600Z [2022-11-23 01:29:36,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459
2022-11-23T01:32:31.2457609Z 
2022-11-23T01:32:31.2457710Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2457786Z import torch
2022-11-23T01:32:31.2457854Z import random
2022-11-23T01:32:31.2457979Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2458107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2458112Z 
2022-11-23T01:32:31.2458197Z aten = torch.ops.aten
2022-11-23T01:32:31.2458339Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2458438Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2458443Z 
2022-11-23T01:32:31.2458519Z import triton
2022-11-23T01:32:31.2458616Z import triton.language as tl
2022-11-23T01:32:31.2458738Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2459072Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2459078Z 
2022-11-23T01:32:31.2459086Z 
2022-11-23T01:32:31.2459233Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:31.2459452Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.2459581Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:31.2459695Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:31.2459801Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:31.2459905Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:31.2459966Z {
2022-11-23T01:32:31.2460060Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:31.2460166Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:31.2460235Z     {
2022-11-23T01:32:31.2460319Z         #pragma omp for 
2022-11-23T01:32:31.2460409Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:31.2460480Z         {
2022-11-23T01:32:31.2460543Z             {
2022-11-23T01:32:31.2460614Z                 {
2022-11-23T01:32:31.2460895Z                     float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:31.2460999Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:31.2461073Z                     {
2022-11-23T01:32:31.2461149Z                         {
2022-11-23T01:32:31.2461267Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:31.2461377Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:31.2461482Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:31.2461581Z                             float tmp3 = 0.0;
2022-11-23T01:32:31.2461663Z                             if(tmp2)
2022-11-23T01:32:31.2461739Z                             {
2022-11-23T01:32:31.2461855Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:31.2461948Z                                 tmp3 = tmp4;
2022-11-23T01:32:31.2462017Z                             }
2022-11-23T01:32:31.2462180Z                             tmp5 = std::max(tmp5, tmp3);
2022-11-23T01:32:31.2462257Z                         }
2022-11-23T01:32:31.2462356Z                     }
2022-11-23T01:32:31.2462452Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:31.2462525Z                 }
2022-11-23T01:32:31.2462593Z             }
2022-11-23T01:32:31.2462655Z         }
2022-11-23T01:32:31.2462739Z         #pragma omp for 
2022-11-23T01:32:31.2462830Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:31.2462897Z         {
2022-11-23T01:32:31.2462966Z             {
2022-11-23T01:32:31.2463036Z                 {
2022-11-23T01:32:31.2463117Z                     float tmp8 = 0;
2022-11-23T01:32:31.2463219Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:31.2463292Z                     {
2022-11-23T01:32:31.2463368Z                         {
2022-11-23T01:32:31.2463475Z                             auto tmp5 = out_ptr0[i0];
2022-11-23T01:32:31.2463591Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:31.2463709Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:31.2463817Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:31.2463906Z                             float tmp3 = 0.0;
2022-11-23T01:32:31.2463990Z                             if(tmp2)
2022-11-23T01:32:31.2464074Z                             {
2022-11-23T01:32:31.2464188Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:31.2464285Z                                 tmp3 = tmp4;
2022-11-23T01:32:31.2464362Z                             }
2022-11-23T01:32:31.2464518Z                             auto tmp6 = tmp3 - tmp5;
2022-11-23T01:32:31.2464623Z                             auto tmp7 = std::exp(tmp6);
2022-11-23T01:32:31.2464729Z                             out_ptr1[i1 + (64*i0)] = tmp7;
2022-11-23T01:32:31.2464820Z                             tmp8 += tmp7;
2022-11-23T01:32:31.2464894Z                         }
2022-11-23T01:32:31.2464968Z                     }
2022-11-23T01:32:31.2465063Z                     out_ptr2[i0] = tmp8;
2022-11-23T01:32:31.2465137Z                 }
2022-11-23T01:32:31.2465200Z             }
2022-11-23T01:32:31.2465270Z         }
2022-11-23T01:32:31.2465356Z         #pragma omp for 
2022-11-23T01:32:31.2465447Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:31.2465516Z         {
2022-11-23T01:32:31.2465607Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:31.2465670Z             {
2022-11-23T01:32:31.2465826Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (64*i0));
2022-11-23T01:32:31.2465963Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:31.2466061Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.2466176Z                 tmp2.store(in_out_ptr0 + (8*i1) + (64*i0));
2022-11-23T01:32:31.2466246Z             }
2022-11-23T01:32:31.2466345Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:31.2466439Z             for(long i1=64; i1<64; i1+=1)
2022-11-23T01:32:31.2466504Z             {
2022-11-23T01:32:31.2466611Z                 auto tmp0 = out_ptr1[i1 + (64*i0)];
2022-11-23T01:32:31.2466706Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:31.2466801Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:31.2466903Z                 in_out_ptr0[i1 + (64*i0)] = tmp2;
2022-11-23T01:32:31.2466972Z             }
2022-11-23T01:32:31.2467041Z         }
2022-11-23T01:32:31.2467102Z     }
2022-11-23T01:32:31.2467168Z }
2022-11-23T01:32:31.2467256Z ''')
2022-11-23T01:32:31.2467262Z 
2022-11-23T01:32:31.2467267Z 
2022-11-23T01:32:31.2467363Z async_compile.wait(globals())
2022-11-23T01:32:31.2467442Z del async_compile
2022-11-23T01:32:31.2467448Z 
2022-11-23T01:32:31.2467525Z def call(args):
2022-11-23T01:32:31.2467600Z     arg0_1, = args
2022-11-23T01:32:31.2467671Z     args.clear()
2022-11-23T01:32:31.2467888Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.2468137Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.2468392Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.2468486Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:31.2468686Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:31.2468762Z     del arg0_1
2022-11-23T01:32:31.2468841Z     return (buf3, )
2022-11-23T01:32:31.2468846Z 
2022-11-23T01:32:31.2468851Z 
2022-11-23T01:32:31.2468927Z if __name__ == "__main__":
2022-11-23T01:32:31.2469048Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2469180Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2469398Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.2469514Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2469519Z 
2022-11-23T01:32:31.2469594Z ok (0.057s)
2022-11-23T01:32:31.2469902Z   test_elu_cuda (__main__.CudaTests) ... [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2470227Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2470524Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2470784Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2471067Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2471392Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2471745Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2472076Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2472454Z [2022-11-23 01:29:36,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105> 
2022-11-23T01:32:31.2472558Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2472660Z                2 LOAD_METHOD              1 (elu)
2022-11-23T01:32:31.2472760Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2472862Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T01:32:31.2472971Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T01:32:31.2473071Z               10 CALL_METHOD              3
2022-11-23T01:32:31.2473170Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2473256Z               14 BINARY_ADD
2022-11-23T01:32:31.2473357Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2473457Z               18 LOAD_METHOD              1 (elu)
2022-11-23T01:32:31.2473462Z 
2022-11-23T01:32:31.2473550Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2473648Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:31.2473727Z               24 BINARY_ADD
2022-11-23T01:32:31.2473822Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2473916Z               28 LOAD_CONST               5 (3)
2022-11-23T01:32:31.2474011Z               30 LOAD_CONST               6 (4)
2022-11-23T01:32:31.2474016Z 
2022-11-23T01:32:31.2474112Z 2106          32 CALL_METHOD              4
2022-11-23T01:32:31.2474209Z               34 BUILD_TUPLE              2
2022-11-23T01:32:31.2474316Z               36 RETURN_VALUE
2022-11-23T01:32:31.2474387Z  
2022-11-23T01:32:31.2474412Z 
2022-11-23T01:32:31.2474736Z [2022-11-23 01:29:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:31.2474964Z [2022-11-23 01:29:36,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2475275Z [2022-11-23 01:29:37,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2475529Z [2022-11-23 01:29:37,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T01:32:31.2475830Z [2022-11-23 01:29:37,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2476172Z [2022-11-23 01:29:37,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.2476528Z [2022-11-23 01:29:37,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.2476766Z [2022-11-23 01:29:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.2477039Z [2022-11-23 01:29:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2477286Z [2022-11-23 01:29:37,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2477612Z [2022-11-23 01:29:37,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2477923Z [2022-11-23 01:29:37,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107
2022-11-23T01:32:31.2478200Z [2022-11-23 01:29:37,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T01:32:31.2478507Z [2022-11-23 01:29:37,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2478856Z [2022-11-23 01:29:37,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2479161Z [2022-11-23 01:29:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2479500Z [2022-11-23 01:29:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2479879Z [2022-11-23 01:29:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2480197Z [2022-11-23 01:29:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:31.2480612Z [2022-11-23 01:29:37,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2480886Z [2022-11-23 01:29:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2481138Z [2022-11-23 01:29:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2481550Z [2022-11-23 01:29:37,011] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105>
2022-11-23T01:32:31.2481824Z [2022-11-23 01:29:37,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2482064Z [2022-11-23 01:29:37,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2482323Z [2022-11-23 01:29:37,013] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2482578Z [2022-11-23 01:29:37,017] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2482774Z [2022-11-23 01:29:37,017] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2482917Z  __compiled_fn_470 <eval_with_key>.2906 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2483006Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2483138Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T01:32:31.2483320Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T01:32:31.2483503Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2483619Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T01:32:31.2483728Z output, output, output, ((add, elu_1),), {}
2022-11-23T01:32:31.2483734Z 
2022-11-23T01:32:31.2484066Z [2022-11-23 01:29:37,018] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2484169Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2484261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2484355Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2484456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2484552Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2484647Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2484731Z              12 RETURN_VALUE
2022-11-23T01:32:31.2484739Z 
2022-11-23T01:32:31.2484808Z  
2022-11-23T01:32:31.2485125Z [2022-11-23 01:29:37,018] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2485244Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_470)
2022-11-23T01:32:31.2485343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2485442Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2485526Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2485621Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2485734Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2485845Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2485935Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2486019Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2486129Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2486228Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2486317Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2486412Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2486496Z              26 RETURN_VALUE
2022-11-23T01:32:31.2486501Z 
2022-11-23T01:32:31.2486561Z  
2022-11-23T01:32:31.2486753Z [2022-11-23 01:29:37,018] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2486832Z  - 
2022-11-23T01:32:31.2486959Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2487031Z             {
2022-11-23T01:32:31.2487180Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2487373Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2487492Z                 'obj_weakref': None
2022-11-23T01:32:31.2487723Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2487796Z             }
2022-11-23T01:32:31.2487922Z             
2022-11-23T01:32:31.2488001Z  - 
2022-11-23T01:32:31.2488152Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2488223Z             {
2022-11-23T01:32:31.2488366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2488481Z                 'code': None,
2022-11-23T01:32:31.2488701Z                 'obj_weakref': <weakref at 0x7f1ff818dcb0; to 'Tensor' at 0x7f1fead2b3d0>
2022-11-23T01:32:31.2488959Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2489030Z             }
2022-11-23T01:32:31.2489101Z             
2022-11-23T01:32:31.2489178Z  - 
2022-11-23T01:32:31.2489308Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2489378Z             {
2022-11-23T01:32:31.2489520Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2489698Z                 'code': ['___check_obj_id(model, 139775060960896)'],
2022-11-23T01:32:31.2489827Z                 'obj_weakref': None
2022-11-23T01:32:31.2490063Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2490136Z             }
2022-11-23T01:32:31.2490198Z             
2022-11-23T01:32:31.2490280Z  - 
2022-11-23T01:32:31.2490408Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2490477Z             {
2022-11-23T01:32:31.2490621Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2490842Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2490967Z                 'obj_weakref': None
2022-11-23T01:32:31.2491185Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2491255Z             }
2022-11-23T01:32:31.2491328Z             
2022-11-23T01:32:31.2491404Z  - 
2022-11-23T01:32:31.2491542Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2491614Z             {
2022-11-23T01:32:31.2491744Z                 'guard_types': None,
2022-11-23T01:32:31.2491849Z                 'code': None,
2022-11-23T01:32:31.2491975Z                 'obj_weakref': None
2022-11-23T01:32:31.2492103Z                 'guarded_class': None
2022-11-23T01:32:31.2492174Z             }
2022-11-23T01:32:31.2492244Z             
2022-11-23T01:32:31.2492541Z [2022-11-23 01:29:37,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460
2022-11-23T01:32:31.2492824Z [2022-11-23 01:29:37,035] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:31.2493077Z [2022-11-23 01:29:37,040] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:31.2493374Z [2022-11-23 01:29:37,054] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.2493662Z [2022-11-23 01:29:37,056] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf6'), SchedulerNode(name='buf7')]
2022-11-23T01:32:31.2494026Z [2022-11-23 01:29:37,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5q/c5qqkvnl6lq5pqcomk72kyeo6kq43pxe6i4sbjtbcurzhpwdmliu.py
2022-11-23T01:32:31.2494303Z [2022-11-23 01:29:37,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460
2022-11-23T01:32:31.2494547Z [2022-11-23 01:29:37,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2494860Z [2022-11-23 01:29:37,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2495086Z [2022-11-23 01:29:37,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2495345Z [2022-11-23 01:29:37,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2495658Z [2022-11-23 01:29:37,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2495995Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2496343Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2496667Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2497045Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105> 
2022-11-23T01:32:31.2497151Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2497254Z                2 LOAD_METHOD              1 (elu)
2022-11-23T01:32:31.2497358Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2497472Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T01:32:31.2497581Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T01:32:31.2497671Z               10 CALL_METHOD              3
2022-11-23T01:32:31.2497771Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2497851Z               14 BINARY_ADD
2022-11-23T01:32:31.2497957Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2498058Z               18 LOAD_METHOD              1 (elu)
2022-11-23T01:32:31.2498064Z 
2022-11-23T01:32:31.2498163Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2498260Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:31.2498333Z               24 BINARY_ADD
2022-11-23T01:32:31.2498429Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2498525Z               28 LOAD_CONST               5 (3)
2022-11-23T01:32:31.2498623Z               30 LOAD_CONST               6 (4)
2022-11-23T01:32:31.2498630Z 
2022-11-23T01:32:31.2498726Z 2106          32 CALL_METHOD              4
2022-11-23T01:32:31.2499017Z               34 BUILD_TUPLE              2
2022-11-23T01:32:31.2499102Z               36 RETURN_VALUE
2022-11-23T01:32:31.2499162Z  
2022-11-23T01:32:31.2499175Z 
2022-11-23T01:32:31.2499485Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:31.2499711Z [2022-11-23 01:29:37,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2500023Z [2022-11-23 01:29:37,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2500276Z [2022-11-23 01:29:37,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T01:32:31.2500576Z [2022-11-23 01:29:37,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2500916Z [2022-11-23 01:29:37,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.2501278Z [2022-11-23 01:29:37,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.2501523Z [2022-11-23 01:29:37,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.2501808Z [2022-11-23 01:29:37,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2502058Z [2022-11-23 01:29:37,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2502430Z [2022-11-23 01:29:37,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2502818Z [2022-11-23 01:29:37,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107
2022-11-23T01:32:31.2503100Z [2022-11-23 01:29:37,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T01:32:31.2503409Z [2022-11-23 01:29:37,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2503759Z [2022-11-23 01:29:37,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2504067Z [2022-11-23 01:29:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:31.2504411Z [2022-11-23 01:29:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2504789Z [2022-11-23 01:29:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2505106Z [2022-11-23 01:29:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:32:31.2505525Z [2022-11-23 01:29:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2505799Z [2022-11-23 01:29:37,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2506050Z [2022-11-23 01:29:37,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2506424Z [2022-11-23 01:29:37,157] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105>
2022-11-23T01:32:31.2506668Z [2022-11-23 01:29:37,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2506903Z [2022-11-23 01:29:37,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2507158Z [2022-11-23 01:29:37,158] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2507416Z [2022-11-23 01:29:37,162] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2507608Z [2022-11-23 01:29:37,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2507754Z  __compiled_fn_471 <eval_with_key>.2912 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2507851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2507983Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T01:32:31.2508150Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T01:32:31.2508329Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2508443Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T01:32:31.2508555Z output, output, output, ((add, elu_1),), {}
2022-11-23T01:32:31.2508561Z 
2022-11-23T01:32:31.2508891Z [2022-11-23 01:29:37,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2508992Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2509089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2509185Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2509308Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2509421Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2509517Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2509604Z              12 RETURN_VALUE
2022-11-23T01:32:31.2509609Z 
2022-11-23T01:32:31.2509675Z  
2022-11-23T01:32:31.2510001Z [2022-11-23 01:29:37,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2510118Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_471)
2022-11-23T01:32:31.2510208Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2510382Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2510465Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2510559Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2510670Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2510782Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2510881Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2510955Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2511064Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2511159Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2511240Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2511333Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2511413Z              26 RETURN_VALUE
2022-11-23T01:32:31.2511419Z 
2022-11-23T01:32:31.2511484Z  
2022-11-23T01:32:31.2511677Z [2022-11-23 01:29:37,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2511746Z  - 
2022-11-23T01:32:31.2511872Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2511941Z             {
2022-11-23T01:32:31.2512088Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2512284Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2512411Z                 'obj_weakref': None
2022-11-23T01:32:31.2512643Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2512706Z             }
2022-11-23T01:32:31.2512778Z             
2022-11-23T01:32:31.2512852Z  - 
2022-11-23T01:32:31.2512982Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2513051Z             {
2022-11-23T01:32:31.2513201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2513313Z                 'code': None,
2022-11-23T01:32:31.2513521Z                 'obj_weakref': <weakref at 0x7f1fead720c0; to 'Tensor' at 0x7f202322b970>
2022-11-23T01:32:31.2513769Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2513838Z             }
2022-11-23T01:32:31.2513907Z             
2022-11-23T01:32:31.2513982Z  - 
2022-11-23T01:32:31.2514116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2514188Z             {
2022-11-23T01:32:31.2514319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2514498Z                 'code': ['___check_obj_id(model, 139775060960896)'],
2022-11-23T01:32:31.2514621Z                 'obj_weakref': None
2022-11-23T01:32:31.2514856Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2514926Z             }
2022-11-23T01:32:31.2514993Z             
2022-11-23T01:32:31.2515068Z  - 
2022-11-23T01:32:31.2515188Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2515257Z             {
2022-11-23T01:32:31.2515398Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2515620Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2515743Z                 'obj_weakref': None
2022-11-23T01:32:31.2515968Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2516073Z             }
2022-11-23T01:32:31.2516164Z             
2022-11-23T01:32:31.2516240Z  - 
2022-11-23T01:32:31.2516377Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2516445Z             {
2022-11-23T01:32:31.2516574Z                 'guard_types': None,
2022-11-23T01:32:31.2516687Z                 'code': None,
2022-11-23T01:32:31.2516804Z                 'obj_weakref': None
2022-11-23T01:32:31.2516932Z                 'guarded_class': None
2022-11-23T01:32:31.2517000Z             }
2022-11-23T01:32:31.2517069Z             
2022-11-23T01:32:31.2517334Z [2022-11-23 01:29:37,180] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461
2022-11-23T01:32:31.2517597Z [2022-11-23 01:29:37,184] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:31.2517857Z [2022-11-23 01:29:37,191] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:31.2518155Z [2022-11-23 01:29:37,205] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.2518434Z [2022-11-23 01:29:37,207] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf6'), SchedulerNode(name='buf7')]
2022-11-23T01:32:31.2518447Z 
2022-11-23T01:32:31.2518542Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2518617Z import torch
2022-11-23T01:32:31.2518691Z import random
2022-11-23T01:32:31.2518814Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2518941Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2518946Z 
2022-11-23T01:32:31.2519031Z aten = torch.ops.aten
2022-11-23T01:32:31.2519172Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2519263Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2519268Z 
2022-11-23T01:32:31.2519344Z import triton
2022-11-23T01:32:31.2519438Z import triton.language as tl
2022-11-23T01:32:31.2519569Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2519715Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2519720Z 
2022-11-23T01:32:31.2519725Z 
2022-11-23T01:32:31.2519902Z triton_fused_mul_1_add_1_mul_40 = async_compile.triton('''
2022-11-23T01:32:31.2519977Z import triton
2022-11-23T01:32:31.2520069Z import triton.language as tl
2022-11-23T01:32:31.2520177Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2520281Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2520415Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2520544Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2520550Z 
2022-11-23T01:32:31.2520940Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2521015Z @triton.jit
2022-11-23T01:32:31.2521164Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2521244Z     xnumel = 256
2022-11-23T01:32:31.2521336Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2521468Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2521554Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2521627Z     x0 = xindex
2022-11-23T01:32:31.2521726Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2521800Z     tmp1 = 1.0
2022-11-23T01:32:31.2521879Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.2521943Z     tmp3 = 1
2022-11-23T01:32:31.2522021Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:31.2522092Z     tmp5 = 4
2022-11-23T01:32:31.2522170Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:31.2522312Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2522474Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.2522574Z ''')
2022-11-23T01:32:31.2522618Z 
2022-11-23T01:32:31.2522624Z 
2022-11-23T01:32:31.2522874Z triton_fused_mul_3_gt_expm1_mul_expm1_1_where_1_gt_1_mul_1_mul_2_add_11 = async_compile.triton('''
2022-11-23T01:32:31.2522953Z import triton
2022-11-23T01:32:31.2523050Z import triton.language as tl
2022-11-23T01:32:31.2523167Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2523274Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2523409Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2523538Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2523543Z 
2022-11-23T01:32:31.2523931Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2523997Z @triton.jit
2022-11-23T01:32:31.2524149Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2524226Z     xnumel = 256
2022-11-23T01:32:31.2524329Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2524461Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2524545Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2524616Z     x0 = xindex
2022-11-23T01:32:31.2524705Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2524811Z     tmp5 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2524918Z     tmp16 = tl.load(in_out_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2524990Z     tmp1 = 0
2022-11-23T01:32:31.2525069Z     tmp2 = tmp0 > tmp1
2022-11-23T01:32:31.2525148Z     tmp3 = 1.0507009873554805
2022-11-23T01:32:31.2525226Z     tmp4 = tmp0 * tmp3
2022-11-23T01:32:31.2525297Z     tmp6 = 1.7580993408473766
2022-11-23T01:32:31.2525376Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.2525473Z     tmp8 = tl.where(tmp2, tmp4, tmp7)
2022-11-23T01:32:31.2525544Z     tmp9 = 2
2022-11-23T01:32:31.2525624Z     tmp10 = tmp8 + tmp9
2022-11-23T01:32:31.2525699Z     tmp11 = 1
2022-11-23T01:32:31.2525781Z     tmp12 = tmp0 + tmp11
2022-11-23T01:32:31.2525857Z     tmp13 = tmp12 > tmp1
2022-11-23T01:32:31.2525930Z     tmp14 = 3
2022-11-23T01:32:31.2526011Z     tmp15 = tmp12 * tmp14
2022-11-23T01:32:31.2526082Z     tmp17 = 6
2022-11-23T01:32:31.2526165Z     tmp18 = tmp16 * tmp17
2022-11-23T01:32:31.2526267Z     tmp19 = tl.where(tmp13, tmp15, tmp18)
2022-11-23T01:32:31.2526400Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.2526538Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:31.2526627Z ''')
2022-11-23T01:32:31.2526633Z 
2022-11-23T01:32:31.2526638Z 
2022-11-23T01:32:31.2526736Z async_compile.wait(globals())
2022-11-23T01:32:31.2526812Z del async_compile
2022-11-23T01:32:31.2526817Z 
2022-11-23T01:32:31.2526893Z def call(args):
2022-11-23T01:32:31.2526968Z     arg0_1, = args
2022-11-23T01:32:31.2527046Z     args.clear()
2022-11-23T01:32:31.2527244Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2527448Z     buf3 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2527540Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2527696Z     triton_fused_mul_1_add_1_mul_40.run(arg0_1, buf0, buf3, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2527818Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T01:32:31.2527889Z     del buf0
2022-11-23T01:32:31.2527962Z     buf2 = buf1
2022-11-23T01:32:31.2528060Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T01:32:31.2528132Z     del buf1
2022-11-23T01:32:31.2528251Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T01:32:31.2528323Z     del buf3
2022-11-23T01:32:31.2528395Z     buf5 = buf4
2022-11-23T01:32:31.2528497Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T01:32:31.2528566Z     del buf4
2022-11-23T01:32:31.2528650Z     buf6 = buf2; del buf2  # reuse
2022-11-23T01:32:31.2528770Z     buf7 = buf5; del buf5  # reuse
2022-11-23T01:32:31.2528987Z     triton_fused_mul_3_gt_expm1_mul_expm1_1_where_1_gt_1_mul_1_mul_2_add_11.run(buf6, buf7, arg0_1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2529064Z     del arg0_1
2022-11-23T01:32:31.2529147Z     return (buf6, buf7, )
2022-11-23T01:32:31.2529152Z 
2022-11-23T01:32:31.2529157Z 
2022-11-23T01:32:31.2529238Z if __name__ == "__main__":
2022-11-23T01:32:31.2529358Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2529488Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2529685Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2529798Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2529803Z 
2022-11-23T01:32:31.2530164Z [2022-11-23 01:29:37,384] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6d3gj6vfbohig7hnw4evjx4pjfwes5vt5ome2znk2k7jnhi72p6.py
2022-11-23T01:32:31.2530434Z [2022-11-23 01:29:37,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461
2022-11-23T01:32:31.2530442Z 
2022-11-23T01:32:31.2530542Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2530616Z import torch
2022-11-23T01:32:31.2530691Z import random
2022-11-23T01:32:31.2530813Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2530930Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2530936Z 
2022-11-23T01:32:31.2531019Z aten = torch.ops.aten
2022-11-23T01:32:31.2531161Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2531258Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2531264Z 
2022-11-23T01:32:31.2531338Z import triton
2022-11-23T01:32:31.2531432Z import triton.language as tl
2022-11-23T01:32:31.2531560Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2531702Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2531708Z 
2022-11-23T01:32:31.2531715Z 
2022-11-23T01:32:31.2531958Z triton_fused_mul_4_convert_element_type_2_convert_element_type_mul_1_add_10 = async_compile.triton('''
2022-11-23T01:32:31.2532038Z import triton
2022-11-23T01:32:31.2532131Z import triton.language as tl
2022-11-23T01:32:31.2532245Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2532349Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2532483Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2532610Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2532616Z 
2022-11-23T01:32:31.2533003Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2533069Z @triton.jit
2022-11-23T01:32:31.2533215Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2533292Z     xnumel = 256
2022-11-23T01:32:31.2533391Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2533526Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2533613Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2533685Z     x0 = xindex
2022-11-23T01:32:31.2533797Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2533888Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2533961Z     tmp2 = 1.0
2022-11-23T01:32:31.2534041Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.2534113Z     tmp4 = 1
2022-11-23T01:32:31.2534194Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.2534281Z     tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:31.2534345Z     tmp7 = 4
2022-11-23T01:32:31.2534424Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:31.2534561Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2534695Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.2534781Z ''')
2022-11-23T01:32:31.2534819Z 
2022-11-23T01:32:31.2534824Z 
2022-11-23T01:32:31.2535171Z triton_fused_add_1_add_mul_5_mul_4_where_1_convert_element_type_2_convert_element_type_3_convert_element_type_1_gt_1_expm11 = async_compile.triton('''
2022-11-23T01:32:31.2535247Z import triton
2022-11-23T01:32:31.2535342Z import triton.language as tl
2022-11-23T01:32:31.2535450Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2535554Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2535689Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2535818Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2535823Z 
2022-11-23T01:32:31.2536240Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: '*fp32', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.2536314Z @triton.jit
2022-11-23T01:32:31.2536480Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2536559Z     xnumel = 256
2022-11-23T01:32:31.2536651Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2536785Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2536870Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2536943Z     x0 = xindex
2022-11-23T01:32:31.2537062Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2537160Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2537261Z     tmp19 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.2537343Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2537414Z     tmp2 = 0
2022-11-23T01:32:31.2537494Z     tmp3 = tmp1 > tmp2
2022-11-23T01:32:31.2537574Z     tmp4 = 1.0507009873554805
2022-11-23T01:32:31.2537653Z     tmp5 = tmp1 * tmp4
2022-11-23T01:32:31.2537733Z     tmp7 = 1.7580993408473766
2022-11-23T01:32:31.2537810Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:31.2537903Z     tmp9 = tl.where(tmp3, tmp5, tmp8)
2022-11-23T01:32:31.2537996Z     tmp10 = tmp9.to(tl.float32)
2022-11-23T01:32:31.2538069Z     tmp11 = 2
2022-11-23T01:32:31.2538161Z     tmp12 = tmp10 + tmp11
2022-11-23T01:32:31.2538247Z     tmp13 = 1
2022-11-23T01:32:31.2538335Z     tmp14 = tmp0 + tmp13
2022-11-23T01:32:31.2538435Z     tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:31.2538517Z     tmp16 = tmp15 > tmp2
2022-11-23T01:32:31.2538590Z     tmp17 = 3
2022-11-23T01:32:31.2538670Z     tmp18 = tmp15 * tmp17
2022-11-23T01:32:31.2538742Z     tmp20 = 6
2022-11-23T01:32:31.2539018Z     tmp21 = tmp19 * tmp20
2022-11-23T01:32:31.2539121Z     tmp22 = tl.where(tmp16, tmp18, tmp21)
2022-11-23T01:32:31.2539204Z     tmp23 = tmp22.to(tl.float32)
2022-11-23T01:32:31.2539344Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.2539480Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:31.2539568Z ''')
2022-11-23T01:32:31.2539574Z 
2022-11-23T01:32:31.2539582Z 
2022-11-23T01:32:31.2539676Z async_compile.wait(globals())
2022-11-23T01:32:31.2539756Z del async_compile
2022-11-23T01:32:31.2539762Z 
2022-11-23T01:32:31.2539836Z def call(args):
2022-11-23T01:32:31.2539913Z     arg0_1, = args
2022-11-23T01:32:31.2539981Z     args.clear()
2022-11-23T01:32:31.2540184Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2540386Z     buf3 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2540475Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2540677Z     triton_fused_mul_4_convert_element_type_2_convert_element_type_mul_1_add_10.run(arg0_1, buf0, buf3, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2540802Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T01:32:31.2540872Z     del buf0
2022-11-23T01:32:31.2540937Z     buf2 = buf1
2022-11-23T01:32:31.2541042Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T01:32:31.2541157Z     del buf1
2022-11-23T01:32:31.2541279Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T01:32:31.2541377Z     del buf3
2022-11-23T01:32:31.2541450Z     buf5 = buf4
2022-11-23T01:32:31.2541555Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T01:32:31.2541618Z     del buf4
2022-11-23T01:32:31.2541821Z     buf6 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2542019Z     buf7 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2542271Z     triton_fused_add_1_add_mul_5_mul_4_where_1_convert_element_type_2_convert_element_type_3_convert_element_type_1_gt_1_expm11.run(arg0_1, buf2, buf5, buf6, buf7, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2542346Z     del arg0_1
2022-11-23T01:32:31.2542427Z     return (buf6, buf7, )
2022-11-23T01:32:31.2542433Z 
2022-11-23T01:32:31.2542438Z 
2022-11-23T01:32:31.2542520Z if __name__ == "__main__":
2022-11-23T01:32:31.2542645Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2542766Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2542971Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2543085Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2543091Z 
2022-11-23T01:32:31.2543163Z ok (0.395s)
2022-11-23T01:32:31.2543480Z   test_embedding_bag_cuda (__main__.CudaTests) ... [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2543796Z [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2544015Z [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2544272Z [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2544551Z [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2544861Z [2022-11-23 01:29:37,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2545211Z [2022-11-23 01:29:37,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2545534Z [2022-11-23 01:29:37,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2545912Z [2022-11-23 01:29:37,390] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303> 
2022-11-23T01:32:31.2546014Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2546132Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T01:32:31.2546231Z                4 LOAD_FAST                0 (w)
2022-11-23T01:32:31.2546328Z                6 LOAD_FAST                1 (i)
2022-11-23T01:32:31.2546424Z                8 LOAD_FAST                2 (o)
2022-11-23T01:32:31.2546516Z               10 LOAD_CONST               1 (False)
2022-11-23T01:32:31.2546612Z               12 LOAD_CONST               2 (0)
2022-11-23T01:32:31.2546713Z               14 LOAD_CONST               1 (False)
2022-11-23T01:32:31.2546813Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2546909Z               18 CALL_METHOD              7
2022-11-23T01:32:31.2546991Z               20 RETURN_VALUE
2022-11-23T01:32:31.2547058Z  
2022-11-23T01:32:31.2547063Z 
2022-11-23T01:32:31.2547383Z [2022-11-23 01:29:37,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304
2022-11-23T01:32:31.2547629Z [2022-11-23 01:29:37,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2547999Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2548271Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T01:32:31.2548570Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T01:32:31.2548897Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2549253Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2549633Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.2550059Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:31.2550617Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.2551125Z [2022-11-23 01:29:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2551374Z [2022-11-23 01:29:37,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2551751Z [2022-11-23 01:29:37,398] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303>
2022-11-23T01:32:31.2551989Z [2022-11-23 01:29:37,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2552252Z [2022-11-23 01:29:37,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2552534Z [2022-11-23 01:29:37,399] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2552788Z [2022-11-23 01:29:37,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2552984Z [2022-11-23 01:29:37,403] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2553129Z  __compiled_fn_472 <eval_with_key>.2918 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2553229Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2553322Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2553405Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.2553577Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T01:32:31.2553790Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T01:32:31.2554002Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T01:32:31.2554211Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T01:32:31.2554419Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T01:32:31.2554562Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:31.2554567Z 
2022-11-23T01:32:31.2554931Z [2022-11-23 01:29:37,403] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2555054Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2555144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2555238Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2555339Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2555431Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2555529Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2555611Z              12 RETURN_VALUE
2022-11-23T01:32:31.2555616Z 
2022-11-23T01:32:31.2555682Z  
2022-11-23T01:32:31.2555998Z [2022-11-23 01:29:37,403] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2556116Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_472)
2022-11-23T01:32:31.2556216Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2556314Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2556401Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2556496Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2556592Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2556674Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2556762Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2556856Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2556938Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.2557033Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.2557144Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2557252Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2557347Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2557421Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2557532Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2557630Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2557713Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2557819Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2557913Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2557994Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2558095Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2558191Z              44 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2558271Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2558365Z              48 BUILD_TUPLE              4
2022-11-23T01:32:31.2558445Z              50 RETURN_VALUE
2022-11-23T01:32:31.2558450Z 
2022-11-23T01:32:31.2558517Z  
2022-11-23T01:32:31.2558704Z [2022-11-23 01:29:37,404] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2558774Z  - 
2022-11-23T01:32:31.2558900Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2558973Z             {
2022-11-23T01:32:31.2559119Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2559312Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.2559437Z                 'obj_weakref': None
2022-11-23T01:32:31.2559662Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2559733Z             }
2022-11-23T01:32:31.2559795Z             
2022-11-23T01:32:31.2559871Z  - 
2022-11-23T01:32:31.2559999Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2560070Z             {
2022-11-23T01:32:31.2560219Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2560333Z                 'code': None,
2022-11-23T01:32:31.2560539Z                 'obj_weakref': <weakref at 0x7f207282b880; to 'Tensor' at 0x7f1fead70950>
2022-11-23T01:32:31.2560791Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2560894Z             }
2022-11-23T01:32:31.2560993Z             
2022-11-23T01:32:31.2561070Z  - 
2022-11-23T01:32:31.2561198Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2561267Z             {
2022-11-23T01:32:31.2561407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2561518Z                 'code': None,
2022-11-23T01:32:31.2561737Z                 'obj_weakref': <weakref at 0x7f207282ad90; to 'Tensor' at 0x7f1fead704f0>
2022-11-23T01:32:31.2561986Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2562055Z             }
2022-11-23T01:32:31.2562124Z             
2022-11-23T01:32:31.2562199Z  - 
2022-11-23T01:32:31.2562320Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.2562393Z             {
2022-11-23T01:32:31.2562543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2562656Z                 'code': None,
2022-11-23T01:32:31.2562871Z                 'obj_weakref': <weakref at 0x7f2072829cb0; to 'Tensor' at 0x7f1fead70450>
2022-11-23T01:32:31.2563125Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2563195Z             }
2022-11-23T01:32:31.2563263Z             
2022-11-23T01:32:31.2563332Z  - 
2022-11-23T01:32:31.2563467Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2563536Z             {
2022-11-23T01:32:31.2563677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2563855Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2563982Z                 'obj_weakref': None
2022-11-23T01:32:31.2564207Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2564277Z             }
2022-11-23T01:32:31.2564344Z             
2022-11-23T01:32:31.2564421Z  - 
2022-11-23T01:32:31.2564549Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2564621Z             {
2022-11-23T01:32:31.2564765Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2564977Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2565100Z                 'obj_weakref': None
2022-11-23T01:32:31.2565328Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2565396Z             }
2022-11-23T01:32:31.2565464Z             
2022-11-23T01:32:31.2565540Z  - 
2022-11-23T01:32:31.2565676Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2565738Z             {
2022-11-23T01:32:31.2565863Z                 'guard_types': None,
2022-11-23T01:32:31.2565976Z                 'code': None,
2022-11-23T01:32:31.2566100Z                 'obj_weakref': None
2022-11-23T01:32:31.2566228Z                 'guarded_class': None
2022-11-23T01:32:31.2566297Z             }
2022-11-23T01:32:31.2566366Z             
2022-11-23T01:32:31.2566631Z [2022-11-23 01:29:37,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462
2022-11-23T01:32:31.2566871Z [2022-11-23 01:29:37,412] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T01:32:31.2567237Z [2022-11-23 01:29:37,414] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckhmda72oq7m5pee6da7visqr2uui7gta7so2mbtsmmmfokcgp5v.py
2022-11-23T01:32:31.2567507Z [2022-11-23 01:29:37,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462
2022-11-23T01:32:31.2567748Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2568068Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2568291Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2568578Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2568881Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2569206Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2569546Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2569870Z [2022-11-23 01:29:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2570252Z [2022-11-23 01:29:37,419] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303> 
2022-11-23T01:32:31.2570357Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2570473Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T01:32:31.2570571Z                4 LOAD_FAST                0 (w)
2022-11-23T01:32:31.2570668Z                6 LOAD_FAST                1 (i)
2022-11-23T01:32:31.2570764Z                8 LOAD_FAST                2 (o)
2022-11-23T01:32:31.2570859Z               10 LOAD_CONST               1 (False)
2022-11-23T01:32:31.2570954Z               12 LOAD_CONST               2 (0)
2022-11-23T01:32:31.2571054Z               14 LOAD_CONST               1 (False)
2022-11-23T01:32:31.2571153Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:31.2571247Z               18 CALL_METHOD              7
2022-11-23T01:32:31.2571330Z               20 RETURN_VALUE
2022-11-23T01:32:31.2571395Z  
2022-11-23T01:32:31.2571401Z 
2022-11-23T01:32:31.2571719Z [2022-11-23 01:29:37,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304
2022-11-23T01:32:31.2571934Z [2022-11-23 01:29:37,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2572251Z [2022-11-23 01:29:37,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2572879Z [2022-11-23 01:29:37,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T01:32:31.2573178Z [2022-11-23 01:29:37,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T01:32:31.2573504Z [2022-11-23 01:29:37,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2573864Z [2022-11-23 01:29:37,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2574255Z [2022-11-23 01:29:37,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.2574692Z [2022-11-23 01:29:37,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:31.2575159Z [2022-11-23 01:29:37,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.2575707Z [2022-11-23 01:29:37,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:31.2575981Z [2022-11-23 01:29:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2576362Z [2022-11-23 01:29:37,428] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303>
2022-11-23T01:32:31.2576613Z [2022-11-23 01:29:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2576845Z [2022-11-23 01:29:37,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2577105Z [2022-11-23 01:29:37,429] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2577362Z [2022-11-23 01:29:37,432] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2577557Z [2022-11-23 01:29:37,432] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2577702Z  __compiled_fn_473 <eval_with_key>.2924 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2577798Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2577892Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2577984Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.2578145Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T01:32:31.2578356Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T01:32:31.2578568Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T01:32:31.2579066Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T01:32:31.2579283Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T01:32:31.2579435Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:31.2579443Z 
2022-11-23T01:32:31.2579775Z [2022-11-23 01:29:37,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2579877Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2579967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2580063Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2580164Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2580255Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2580350Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2580432Z              12 RETURN_VALUE
2022-11-23T01:32:31.2580438Z 
2022-11-23T01:32:31.2580504Z  
2022-11-23T01:32:31.2580831Z [2022-11-23 01:29:37,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2580943Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_473)
2022-11-23T01:32:31.2581039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2581139Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2581223Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2581316Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2581415Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2581496Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2581583Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2581677Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2581759Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.2581854Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.2581965Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2582075Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2582225Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2582333Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2582444Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2582540Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2582621Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.2582728Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2582823Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2582905Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.2583005Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2583100Z              44 LOAD_CONST               4 (3)
2022-11-23T01:32:31.2583181Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.2583275Z              48 BUILD_TUPLE              4
2022-11-23T01:32:31.2583358Z              50 RETURN_VALUE
2022-11-23T01:32:31.2583363Z 
2022-11-23T01:32:31.2583429Z  
2022-11-23T01:32:31.2583620Z [2022-11-23 01:29:37,433] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2583701Z  - 
2022-11-23T01:32:31.2583818Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2583890Z             {
2022-11-23T01:32:31.2584035Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2584224Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.2584349Z                 'obj_weakref': None
2022-11-23T01:32:31.2584578Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2584648Z             }
2022-11-23T01:32:31.2584710Z             
2022-11-23T01:32:31.2584786Z  - 
2022-11-23T01:32:31.2584916Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2584987Z             {
2022-11-23T01:32:31.2585134Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2585246Z                 'code': None,
2022-11-23T01:32:31.2585463Z                 'obj_weakref': <weakref at 0x7f201e3d51c0; to 'Tensor' at 0x7f1ff818fba0>
2022-11-23T01:32:31.2585711Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2585781Z             }
2022-11-23T01:32:31.2585850Z             
2022-11-23T01:32:31.2585926Z  - 
2022-11-23T01:32:31.2586059Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2586129Z             {
2022-11-23T01:32:31.2586278Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2586383Z                 'code': None,
2022-11-23T01:32:31.2586601Z                 'obj_weakref': <weakref at 0x7f207282ad90; to 'Tensor' at 0x7f1fead704f0>
2022-11-23T01:32:31.2586855Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2586926Z             }
2022-11-23T01:32:31.2586999Z             
2022-11-23T01:32:31.2587074Z  - 
2022-11-23T01:32:31.2587201Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.2587265Z             {
2022-11-23T01:32:31.2587413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2587527Z                 'code': None,
2022-11-23T01:32:31.2587741Z                 'obj_weakref': <weakref at 0x7f2072829cb0; to 'Tensor' at 0x7f1fead70450>
2022-11-23T01:32:31.2587995Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2588065Z             }
2022-11-23T01:32:31.2588134Z             
2022-11-23T01:32:31.2588203Z  - 
2022-11-23T01:32:31.2588339Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2588409Z             {
2022-11-23T01:32:31.2588549Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2588725Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:31.2588851Z                 'obj_weakref': None
2022-11-23T01:32:31.2589089Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2589182Z             }
2022-11-23T01:32:31.2589274Z             
2022-11-23T01:32:31.2589351Z  - 
2022-11-23T01:32:31.2589479Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2589549Z             {
2022-11-23T01:32:31.2589692Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2589914Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2590031Z                 'obj_weakref': None
2022-11-23T01:32:31.2590325Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2590409Z             }
2022-11-23T01:32:31.2590487Z             
2022-11-23T01:32:31.2590565Z  - 
2022-11-23T01:32:31.2590703Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2590774Z             {
2022-11-23T01:32:31.2590892Z                 'guard_types': None,
2022-11-23T01:32:31.2591004Z                 'code': None,
2022-11-23T01:32:31.2591130Z                 'obj_weakref': None
2022-11-23T01:32:31.2591258Z                 'guarded_class': None
2022-11-23T01:32:31.2591332Z             }
2022-11-23T01:32:31.2591400Z             
2022-11-23T01:32:31.2591656Z [2022-11-23 01:29:37,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463
2022-11-23T01:32:31.2591889Z [2022-11-23 01:29:37,441] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T01:32:31.2592254Z [2022-11-23 01:29:37,444] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ec/cec4ppkw6axunv6hb5n5vtzapri5fff624hq2pcjmxga6jlndgty.py
2022-11-23T01:32:31.2592521Z [2022-11-23 01:29:37,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463
2022-11-23T01:32:31.2592527Z 
2022-11-23T01:32:31.2592629Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2592704Z import torch
2022-11-23T01:32:31.2592780Z import random
2022-11-23T01:32:31.2592903Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2593033Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2593042Z 
2022-11-23T01:32:31.2593119Z aten = torch.ops.aten
2022-11-23T01:32:31.2593261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2593359Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2593364Z 
2022-11-23T01:32:31.2593446Z import triton
2022-11-23T01:32:31.2593540Z import triton.language as tl
2022-11-23T01:32:31.2593667Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2593811Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2593817Z 
2022-11-23T01:32:31.2593822Z 
2022-11-23T01:32:31.2593915Z async_compile.wait(globals())
2022-11-23T01:32:31.2593986Z del async_compile
2022-11-23T01:32:31.2593991Z 
2022-11-23T01:32:31.2594067Z def call(args):
2022-11-23T01:32:31.2594157Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.2594234Z     args.clear()
2022-11-23T01:32:31.2594355Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T01:32:31.2594432Z     del arg0_1
2022-11-23T01:32:31.2594508Z     del arg1_1
2022-11-23T01:32:31.2594573Z     del arg2_1
2022-11-23T01:32:31.2594647Z     buf1 = buf0[0]
2022-11-23T01:32:31.2594751Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T01:32:31.2594825Z     buf2 = buf0[1]
2022-11-23T01:32:31.2594924Z     assert_size_stride(buf2, (8, ), (1, ))
2022-11-23T01:32:31.2594998Z     buf3 = buf0[2]
2022-11-23T01:32:31.2595089Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T01:32:31.2595164Z     buf4 = buf0[3]
2022-11-23T01:32:31.2595262Z     assert_size_stride(buf4, (0, ), (1, ))
2022-11-23T01:32:31.2595333Z     del buf0
2022-11-23T01:32:31.2595427Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2595432Z 
2022-11-23T01:32:31.2595437Z 
2022-11-23T01:32:31.2595519Z if __name__ == "__main__":
2022-11-23T01:32:31.2595639Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2595809Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2596011Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2596230Z     arg1_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2596421Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2596551Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.2596556Z 
2022-11-23T01:32:31.2596561Z 
2022-11-23T01:32:31.2596661Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2596736Z import torch
2022-11-23T01:32:31.2596812Z import random
2022-11-23T01:32:31.2596936Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2597055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2597060Z 
2022-11-23T01:32:31.2597144Z aten = torch.ops.aten
2022-11-23T01:32:31.2597287Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2597387Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2597394Z 
2022-11-23T01:32:31.2597474Z import triton
2022-11-23T01:32:31.2597568Z import triton.language as tl
2022-11-23T01:32:31.2597696Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2597831Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2597844Z 
2022-11-23T01:32:31.2597848Z 
2022-11-23T01:32:31.2597935Z async_compile.wait(globals())
2022-11-23T01:32:31.2598012Z del async_compile
2022-11-23T01:32:31.2598018Z 
2022-11-23T01:32:31.2598096Z def call(args):
2022-11-23T01:32:31.2598184Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.2598262Z     args.clear()
2022-11-23T01:32:31.2598377Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T01:32:31.2598451Z     del arg0_1
2022-11-23T01:32:31.2598516Z     del arg1_1
2022-11-23T01:32:31.2598589Z     del arg2_1
2022-11-23T01:32:31.2598662Z     buf1 = buf0[0]
2022-11-23T01:32:31.2598765Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T01:32:31.2598843Z     buf2 = buf0[1]
2022-11-23T01:32:31.2598942Z     assert_size_stride(buf2, (8, ), (1, ))
2022-11-23T01:32:31.2599018Z     buf3 = buf0[2]
2022-11-23T01:32:31.2599109Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T01:32:31.2599185Z     buf4 = buf0[3]
2022-11-23T01:32:31.2599283Z     assert_size_stride(buf4, (0, ), (1, ))
2022-11-23T01:32:31.2599354Z     del buf0
2022-11-23T01:32:31.2599448Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.2599453Z 
2022-11-23T01:32:31.2599458Z 
2022-11-23T01:32:31.2599539Z if __name__ == "__main__":
2022-11-23T01:32:31.2599658Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2599779Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2599986Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2600183Z     arg1_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2600376Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2600507Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.2600516Z 
2022-11-23T01:32:31.2600588Z ok (0.059s)
2022-11-23T01:32:31.2600902Z   test_embedding_cuda (__main__.CudaTests) ... [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2601220Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2601447Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2601692Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.2601966Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.2602333Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2602691Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2603010Z [2022-11-23 01:29:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2603402Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.2603503Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.2603599Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.2603684Z               4 RETURN_VALUE
2022-11-23T01:32:31.2603744Z  
2022-11-23T01:32:31.2603749Z 
2022-11-23T01:32:31.2604080Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.2604301Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.2604552Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.2604805Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2605191Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.2605441Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2605682Z [2022-11-23 01:29:37,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2605944Z [2022-11-23 01:29:37,453] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2606202Z [2022-11-23 01:29:37,457] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2606391Z [2022-11-23 01:29:37,457] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2606533Z  __compiled_fn_474 <eval_with_key>.2930 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2606630Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2606737Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.2606850Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.2606956Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.2606962Z 
2022-11-23T01:32:31.2607292Z [2022-11-23 01:29:37,457] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2607395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2607486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2607587Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2607688Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2607782Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2607878Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2607960Z              12 RETURN_VALUE
2022-11-23T01:32:31.2607965Z 
2022-11-23T01:32:31.2608032Z  
2022-11-23T01:32:31.2608347Z [2022-11-23 01:29:37,458] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2608464Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_474)
2022-11-23T01:32:31.2608562Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2608660Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2608744Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2608868Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2609010Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2609122Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2609212Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2609296Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2609389Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.2609471Z              20 RETURN_VALUE
2022-11-23T01:32:31.2609476Z 
2022-11-23T01:32:31.2609542Z  
2022-11-23T01:32:31.2609731Z [2022-11-23 01:29:37,458] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2609807Z  - 
2022-11-23T01:32:31.2609926Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2609996Z             {
2022-11-23T01:32:31.2610148Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2610342Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2610475Z                 'obj_weakref': None
2022-11-23T01:32:31.2610704Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2610776Z             }
2022-11-23T01:32:31.2610838Z             
2022-11-23T01:32:31.2610914Z  - 
2022-11-23T01:32:31.2611044Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2611113Z             {
2022-11-23T01:32:31.2611262Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2611376Z                 'code': None,
2022-11-23T01:32:31.2611595Z                 'obj_weakref': <weakref at 0x7f1fd9a6dc10; to 'Tensor' at 0x7f20601558a0>
2022-11-23T01:32:31.2611844Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2611915Z             }
2022-11-23T01:32:31.2611984Z             
2022-11-23T01:32:31.2612061Z  - 
2022-11-23T01:32:31.2612187Z             local 'model' NN_MODULE
2022-11-23T01:32:31.2612256Z             {
2022-11-23T01:32:31.2612401Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2612574Z                 'code': ['___check_obj_id(model, 139780078730496)'],
2022-11-23T01:32:31.2612802Z                 'obj_weakref': <weakref at 0x7f201e239da0; to 'Sequential' at 0x7f2115f07d00>
2022-11-23T01:32:31.2613042Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.2613113Z             }
2022-11-23T01:32:31.2613182Z             
2022-11-23T01:32:31.2613257Z  - 
2022-11-23T01:32:31.2613384Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2613446Z             {
2022-11-23T01:32:31.2613590Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2613817Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2613944Z                 'obj_weakref': None
2022-11-23T01:32:31.2614173Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2614242Z             }
2022-11-23T01:32:31.2614313Z             
2022-11-23T01:32:31.2614382Z  - 
2022-11-23T01:32:31.2614533Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.2614604Z             {
2022-11-23T01:32:31.2614733Z                 'guard_types': None,
2022-11-23T01:32:31.2614846Z                 'code': None,
2022-11-23T01:32:31.2614969Z                 'obj_weakref': None
2022-11-23T01:32:31.2615097Z                 'guarded_class': None
2022-11-23T01:32:31.2615159Z             }
2022-11-23T01:32:31.2615227Z             
2022-11-23T01:32:31.2615304Z  - 
2022-11-23T01:32:31.2615456Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.2615525Z             {
2022-11-23T01:32:31.2615650Z                 'guard_types': None,
2022-11-23T01:32:31.2615755Z                 'code': None,
2022-11-23T01:32:31.2615878Z                 'obj_weakref': None
2022-11-23T01:32:31.2616005Z                 'guarded_class': None
2022-11-23T01:32:31.2616115Z             }
2022-11-23T01:32:31.2616185Z             
2022-11-23T01:32:31.2616283Z  - 
2022-11-23T01:32:31.2616433Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.2616495Z             {
2022-11-23T01:32:31.2616620Z                 'guard_types': None,
2022-11-23T01:32:31.2616731Z                 'code': None,
2022-11-23T01:32:31.2616854Z                 'obj_weakref': None
2022-11-23T01:32:31.2616982Z                 'guarded_class': None
2022-11-23T01:32:31.2617052Z             }
2022-11-23T01:32:31.2617120Z             
2022-11-23T01:32:31.2617380Z [2022-11-23 01:29:37,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464
2022-11-23T01:32:31.2617678Z [2022-11-23 01:29:37,502] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2617930Z [2022-11-23 01:29:37,506] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.2618301Z [2022-11-23 01:29:37,685] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/km/ckmba45poqni6kp6xn2sizbesorrlnxdnmv5xrm7rkyvtckesq2i.py
2022-11-23T01:32:31.2618574Z [2022-11-23 01:29:37,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464
2022-11-23T01:32:31.2619013Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2619337Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2619561Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2619811Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.2620075Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.2620395Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2620735Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2621051Z [2022-11-23 01:29:37,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2621432Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.2621531Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.2621628Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.2621711Z               4 RETURN_VALUE
2022-11-23T01:32:31.2621777Z  
2022-11-23T01:32:31.2621785Z 
2022-11-23T01:32:31.2622095Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.2622316Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.2622565Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.2622814Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2623200Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.2623450Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2623738Z [2022-11-23 01:29:37,692] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2624024Z [2022-11-23 01:29:37,693] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2624277Z [2022-11-23 01:29:37,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2624473Z [2022-11-23 01:29:37,698] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2624607Z  __compiled_fn_475 <eval_with_key>.2941 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2624703Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2624809Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.2624920Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.2625026Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.2625031Z 
2022-11-23T01:32:31.2625361Z [2022-11-23 01:29:37,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2625463Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2625563Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2625651Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2625751Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2625844Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2625939Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2626021Z              12 RETURN_VALUE
2022-11-23T01:32:31.2626026Z 
2022-11-23T01:32:31.2626091Z  
2022-11-23T01:32:31.2626415Z [2022-11-23 01:29:37,698] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2626524Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_475)
2022-11-23T01:32:31.2626622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2626720Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2626805Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2626904Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2627013Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2627123Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2627222Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2627298Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2627391Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.2627473Z              20 RETURN_VALUE
2022-11-23T01:32:31.2627478Z 
2022-11-23T01:32:31.2627543Z  
2022-11-23T01:32:31.2627733Z [2022-11-23 01:29:37,699] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2627813Z  - 
2022-11-23T01:32:31.2627938Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2628002Z             {
2022-11-23T01:32:31.2628154Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2628349Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2628478Z                 'obj_weakref': None
2022-11-23T01:32:31.2628705Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2628774Z             }
2022-11-23T01:32:31.2628843Z             
2022-11-23T01:32:31.2628911Z  - 
2022-11-23T01:32:31.2629044Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2629114Z             {
2022-11-23T01:32:31.2629264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2629376Z                 'code': None,
2022-11-23T01:32:31.2629594Z                 'obj_weakref': <weakref at 0x7f1fd9a6dc10; to 'Tensor' at 0x7f20601558a0>
2022-11-23T01:32:31.2629846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2629909Z             }
2022-11-23T01:32:31.2629977Z             
2022-11-23T01:32:31.2630054Z  - 
2022-11-23T01:32:31.2630210Z             local 'model' NN_MODULE
2022-11-23T01:32:31.2630354Z             {
2022-11-23T01:32:31.2630526Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2630701Z                 'code': ['___check_obj_id(model, 139780078730496)'],
2022-11-23T01:32:31.2630916Z                 'obj_weakref': <weakref at 0x7f201e239da0; to 'Sequential' at 0x7f2115f07d00>
2022-11-23T01:32:31.2631155Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.2631224Z             }
2022-11-23T01:32:31.2631292Z             
2022-11-23T01:32:31.2631367Z  - 
2022-11-23T01:32:31.2631494Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2631562Z             {
2022-11-23T01:32:31.2631697Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2631921Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2632044Z                 'obj_weakref': None
2022-11-23T01:32:31.2632273Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2632347Z             }
2022-11-23T01:32:31.2632417Z             
2022-11-23T01:32:31.2632491Z  - 
2022-11-23T01:32:31.2632634Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.2632703Z             {
2022-11-23T01:32:31.2632828Z                 'guard_types': None,
2022-11-23T01:32:31.2632941Z                 'code': None,
2022-11-23T01:32:31.2633065Z                 'obj_weakref': None
2022-11-23T01:32:31.2633195Z                 'guarded_class': None
2022-11-23T01:32:31.2633266Z             }
2022-11-23T01:32:31.2633326Z             
2022-11-23T01:32:31.2633401Z  - 
2022-11-23T01:32:31.2633551Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.2640167Z             {
2022-11-23T01:32:31.2640336Z                 'guard_types': None,
2022-11-23T01:32:31.2640451Z                 'code': None,
2022-11-23T01:32:31.2640570Z                 'obj_weakref': None
2022-11-23T01:32:31.2640705Z                 'guarded_class': None
2022-11-23T01:32:31.2640777Z             }
2022-11-23T01:32:31.2640848Z             
2022-11-23T01:32:31.2640924Z  - 
2022-11-23T01:32:31.2641078Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.2641148Z             {
2022-11-23T01:32:31.2641267Z                 'guard_types': None,
2022-11-23T01:32:31.2641381Z                 'code': None,
2022-11-23T01:32:31.2641505Z                 'obj_weakref': None
2022-11-23T01:32:31.2641632Z                 'guarded_class': None
2022-11-23T01:32:31.2641701Z             }
2022-11-23T01:32:31.2641771Z             
2022-11-23T01:32:31.2642072Z [2022-11-23 01:29:37,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465
2022-11-23T01:32:31.2642387Z [2022-11-23 01:29:37,749] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2642642Z [2022-11-23 01:29:37,752] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.2643009Z [2022-11-23 01:29:37,820] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sb/csbint637g5eiaeiexjotjb3gk7vwstzadotqksffusafl754ecw.py
2022-11-23T01:32:31.2643277Z [2022-11-23 01:29:37,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465
2022-11-23T01:32:31.2643283Z 
2022-11-23T01:32:31.2643385Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2643460Z import torch
2022-11-23T01:32:31.2643536Z import random
2022-11-23T01:32:31.2643661Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2643781Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2643796Z 
2022-11-23T01:32:31.2643872Z aten = torch.ops.aten
2022-11-23T01:32:31.2644013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2644112Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2644118Z 
2022-11-23T01:32:31.2644191Z import triton
2022-11-23T01:32:31.2644340Z import triton.language as tl
2022-11-23T01:32:31.2644492Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2644636Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2644642Z 
2022-11-23T01:32:31.2644647Z 
2022-11-23T01:32:31.2644828Z triton_fused_relu_le_embedding0 = async_compile.triton('''
2022-11-23T01:32:31.2644897Z import triton
2022-11-23T01:32:31.2644991Z import triton.language as tl
2022-11-23T01:32:31.2645108Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2645212Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2645348Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2645482Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2645488Z 
2022-11-23T01:32:31.2645890Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*i1', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.2645967Z @triton.jit
2022-11-23T01:32:31.2646116Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2646191Z     xnumel = 64
2022-11-23T01:32:31.2646292Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2646425Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2646510Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2646592Z     x1 = (xindex // 4)
2022-11-23T01:32:31.2646666Z     x0 = xindex % 4
2022-11-23T01:32:31.2646732Z     x2 = xindex
2022-11-23T01:32:31.2646830Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.2646977Z     tmp1 = tl.load(in_ptr1 + (x0 + (4*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.2647067Z     tmp2 = tl.maximum(0, tmp1)
2022-11-23T01:32:31.2647138Z     tmp3 = 0
2022-11-23T01:32:31.2647220Z     tmp4 = tmp2 <= tmp3
2022-11-23T01:32:31.2647352Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2647491Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2647581Z ''')
2022-11-23T01:32:31.2647586Z 
2022-11-23T01:32:31.2647591Z 
2022-11-23T01:32:31.2647791Z triton_fused_convert_element_type__to_copy1 = async_compile.triton('''
2022-11-23T01:32:31.2647867Z import triton
2022-11-23T01:32:31.2647963Z import triton.language as tl
2022-11-23T01:32:31.2648080Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2648185Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2648313Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2648440Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2648446Z 
2022-11-23T01:32:31.2648812Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2648887Z @triton.jit
2022-11-23T01:32:31.2649024Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2649099Z     xnumel = 16
2022-11-23T01:32:31.2649198Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2649332Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2649410Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2649482Z     x0 = xindex
2022-11-23T01:32:31.2649580Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2649673Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2649759Z     tmp2 = tmp1.to(tl.int64)
2022-11-23T01:32:31.2649896Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2649982Z ''')
2022-11-23T01:32:31.2649987Z 
2022-11-23T01:32:31.2649992Z 
2022-11-23T01:32:31.2650079Z async_compile.wait(globals())
2022-11-23T01:32:31.2650157Z del async_compile
2022-11-23T01:32:31.2650162Z 
2022-11-23T01:32:31.2650238Z def call(args):
2022-11-23T01:32:31.2650361Z     primals_1, primals_2 = args
2022-11-23T01:32:31.2650459Z     args.clear()
2022-11-23T01:32:31.2650668Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2650867Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.2650960Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2651133Z     triton_fused_relu_le_embedding0.run(primals_2, primals_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.2651211Z     del primals_1
2022-11-23T01:32:31.2651406Z     buf2 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2651579Z     triton_fused_convert_element_type__to_copy1.run(primals_2, buf2, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.2651657Z     del primals_2
2022-11-23T01:32:31.2651745Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.2651750Z 
2022-11-23T01:32:31.2651755Z 
2022-11-23T01:32:31.2651837Z if __name__ == "__main__":
2022-11-23T01:32:31.2651959Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2652084Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2652291Z     primals_1 = rand_strided((10, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2652491Z     primals_2 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2652625Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:31.2652630Z 
2022-11-23T01:32:31.2652635Z 
2022-11-23T01:32:31.2652736Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2652811Z import torch
2022-11-23T01:32:31.2652888Z import random
2022-11-23T01:32:31.2653010Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2653129Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2653134Z 
2022-11-23T01:32:31.2653218Z aten = torch.ops.aten
2022-11-23T01:32:31.2653360Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2653460Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2653469Z 
2022-11-23T01:32:31.2653545Z import triton
2022-11-23T01:32:31.2653637Z import triton.language as tl
2022-11-23T01:32:31.2653766Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2653902Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2653914Z 
2022-11-23T01:32:31.2653919Z 
2022-11-23T01:32:31.2654108Z triton_fused_relu_embedding_le__to_copy_10 = async_compile.triton('''
2022-11-23T01:32:31.2654185Z import triton
2022-11-23T01:32:31.2654284Z import triton.language as tl
2022-11-23T01:32:31.2654401Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2654505Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2654643Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2654771Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2654776Z 
2022-11-23T01:32:31.2655174Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*i1', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.2655244Z @triton.jit
2022-11-23T01:32:31.2655399Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2655473Z     xnumel = 64
2022-11-23T01:32:31.2655572Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2655708Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2655792Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2655872Z     x1 = (xindex // 4)
2022-11-23T01:32:31.2655940Z     x0 = xindex % 4
2022-11-23T01:32:31.2656013Z     x2 = xindex
2022-11-23T01:32:31.2656113Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.2656274Z     tmp1 = tl.load(in_ptr1 + (x0 + (4*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.2656364Z     tmp2 = tl.maximum(0, tmp1)
2022-11-23T01:32:31.2656484Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.2656577Z     tmp4 = 0
2022-11-23T01:32:31.2656650Z     tmp5 = tmp3 <= tmp4
2022-11-23T01:32:31.2656787Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2656920Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.2657007Z ''')
2022-11-23T01:32:31.2657013Z 
2022-11-23T01:32:31.2657018Z 
2022-11-23T01:32:31.2657222Z triton_fused_convert_element_type__to_copy_41 = async_compile.triton('''
2022-11-23T01:32:31.2657300Z import triton
2022-11-23T01:32:31.2657394Z import triton.language as tl
2022-11-23T01:32:31.2657503Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2657608Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2657743Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2657871Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2657877Z 
2022-11-23T01:32:31.2658243Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2658323Z @triton.jit
2022-11-23T01:32:31.2658456Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2658531Z     xnumel = 16
2022-11-23T01:32:31.2658622Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2658756Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2659056Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2659130Z     x0 = xindex
2022-11-23T01:32:31.2659229Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2659320Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.2659408Z     tmp2 = tmp1.to(tl.int64)
2022-11-23T01:32:31.2659535Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2659624Z ''')
2022-11-23T01:32:31.2659630Z 
2022-11-23T01:32:31.2659637Z 
2022-11-23T01:32:31.2659731Z async_compile.wait(globals())
2022-11-23T01:32:31.2659815Z del async_compile
2022-11-23T01:32:31.2659820Z 
2022-11-23T01:32:31.2659896Z def call(args):
2022-11-23T01:32:31.2659988Z     primals_1, primals_2 = args
2022-11-23T01:32:31.2660065Z     args.clear()
2022-11-23T01:32:31.2660272Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2660464Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.2660556Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2660744Z     triton_fused_relu_embedding_le__to_copy_10.run(primals_2, primals_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.2660823Z     del primals_1
2022-11-23T01:32:31.2661020Z     buf2 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2661197Z     triton_fused_convert_element_type__to_copy_41.run(primals_2, buf2, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.2661274Z     del primals_2
2022-11-23T01:32:31.2661365Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.2661370Z 
2022-11-23T01:32:31.2661375Z 
2022-11-23T01:32:31.2661450Z if __name__ == "__main__":
2022-11-23T01:32:31.2661571Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2661703Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2661908Z     primals_1 = rand_strided((10, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2662112Z     primals_2 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.2662246Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:31.2662252Z 
2022-11-23T01:32:31.2662324Z ok (0.376s)
2022-11-23T01:32:31.2662627Z   test_exp_cuda (__main__.CudaTests) ... [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2663016Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2663276Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2663533Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2663815Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2664133Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2664476Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2664798Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2665172Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000> 
2022-11-23T01:32:31.2665277Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2665379Z                2 LOAD_METHOD              1 (exp)
2022-11-23T01:32:31.2665471Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2665567Z                6 CALL_METHOD              1
2022-11-23T01:32:31.2665668Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2665767Z               10 LOAD_METHOD              1 (exp)
2022-11-23T01:32:31.2665864Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2665959Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2666039Z               16 BINARY_ADD
2022-11-23T01:32:31.2666129Z               18 CALL_METHOD              1
2022-11-23T01:32:31.2666226Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.2666310Z               22 RETURN_VALUE
2022-11-23T01:32:31.2666376Z  
2022-11-23T01:32:31.2666381Z 
2022-11-23T01:32:31.2666696Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001
2022-11-23T01:32:31.2666918Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2667286Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2667600Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2667949Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2668193Z [2022-11-23 01:29:37,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.2668579Z [2022-11-23 01:29:37,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2668918Z [2022-11-23 01:29:37,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2669280Z [2022-11-23 01:29:37,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2669707Z [2022-11-23 01:29:37,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2670102Z [2022-11-23 01:29:37,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2670454Z [2022-11-23 01:29:37,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2670727Z [2022-11-23 01:29:37,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2671100Z [2022-11-23 01:29:37,829] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000>
2022-11-23T01:32:31.2671343Z [2022-11-23 01:29:37,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2671580Z [2022-11-23 01:29:37,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2671838Z [2022-11-23 01:29:37,830] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2672084Z [2022-11-23 01:29:37,833] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2672279Z [2022-11-23 01:29:37,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2672447Z  __compiled_fn_476 <eval_with_key>.2952 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2672559Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2672660Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2672885Z call_function, exp, <built-in method exp of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.2673068Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2673286Z call_function, exp_1, <built-in method exp of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.2673392Z output, output, output, ((exp, exp_1),), {}
2022-11-23T01:32:31.2673399Z 
2022-11-23T01:32:31.2673725Z [2022-11-23 01:29:37,833] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2673826Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2673925Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2674020Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2674121Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2674217Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2674314Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2674389Z              12 RETURN_VALUE
2022-11-23T01:32:31.2674395Z 
2022-11-23T01:32:31.2674460Z  
2022-11-23T01:32:31.2674780Z [2022-11-23 01:29:37,834] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2674898Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_476)
2022-11-23T01:32:31.2674996Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2675093Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2675176Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2675264Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2675358Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2675440Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2675534Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2675647Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2675758Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2675855Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2675929Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2676038Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2676166Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2676270Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2676366Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.2676447Z              32 RETURN_VALUE
2022-11-23T01:32:31.2676452Z 
2022-11-23T01:32:31.2676518Z  
2022-11-23T01:32:31.2676708Z [2022-11-23 01:29:37,834] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2676777Z  - 
2022-11-23T01:32:31.2676902Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2676972Z             {
2022-11-23T01:32:31.2677122Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2677314Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2677438Z                 'obj_weakref': None
2022-11-23T01:32:31.2677663Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2677727Z             }
2022-11-23T01:32:31.2677798Z             
2022-11-23T01:32:31.2677876Z  - 
2022-11-23T01:32:31.2678007Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2678076Z             {
2022-11-23T01:32:31.2678222Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2678327Z                 'code': None,
2022-11-23T01:32:31.2678546Z                 'obj_weakref': <weakref at 0x7f2127a0de90; to 'Tensor' at 0x7f1ff818c950>
2022-11-23T01:32:31.2678798Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2678867Z             }
2022-11-23T01:32:31.2678937Z             
2022-11-23T01:32:31.2679012Z  - 
2022-11-23T01:32:31.2679139Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2679207Z             {
2022-11-23T01:32:31.2679349Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2679464Z                 'code': None,
2022-11-23T01:32:31.2679680Z                 'obj_weakref': <weakref at 0x7f2000fe5850; to 'Tensor' at 0x7f2023357150>
2022-11-23T01:32:31.2679931Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2680002Z             }
2022-11-23T01:32:31.2680070Z             
2022-11-23T01:32:31.2680147Z  - 
2022-11-23T01:32:31.2680274Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2680344Z             {
2022-11-23T01:32:31.2680486Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2680662Z                 'code': ['___check_obj_id(model, 139780374073920)'],
2022-11-23T01:32:31.2680786Z                 'obj_weakref': None
2022-11-23T01:32:31.2681018Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2681087Z             }
2022-11-23T01:32:31.2681148Z             
2022-11-23T01:32:31.2681224Z  - 
2022-11-23T01:32:31.2681351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2681421Z             {
2022-11-23T01:32:31.2681563Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2681785Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2681910Z                 'obj_weakref': None
2022-11-23T01:32:31.2682125Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2682195Z             }
2022-11-23T01:32:31.2682263Z             
2022-11-23T01:32:31.2682341Z  - 
2022-11-23T01:32:31.2682479Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2682548Z             {
2022-11-23T01:32:31.2682666Z                 'guard_types': None,
2022-11-23T01:32:31.2682778Z                 'code': None,
2022-11-23T01:32:31.2682899Z                 'obj_weakref': None
2022-11-23T01:32:31.2683025Z                 'guarded_class': None
2022-11-23T01:32:31.2683093Z             }
2022-11-23T01:32:31.2683160Z             
2022-11-23T01:32:31.2683458Z [2022-11-23 01:29:37,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466
2022-11-23T01:32:31.2683774Z [2022-11-23 01:29:37,846] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2684132Z [2022-11-23 01:29:37,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k2/ck2fbmekige7mii7x4my5ld4qk2nba5luasqjydvmqyuuud6n6my.py
2022-11-23T01:32:31.2684403Z [2022-11-23 01:29:37,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466
2022-11-23T01:32:31.2684648Z [2022-11-23 01:29:37,913] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2684968Z [2022-11-23 01:29:37,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2685192Z [2022-11-23 01:29:37,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2685451Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2685737Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2686058Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2686402Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2686726Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2687095Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000> 
2022-11-23T01:32:31.2687203Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2687308Z                2 LOAD_METHOD              1 (exp)
2022-11-23T01:32:31.2687406Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2687502Z                6 CALL_METHOD              1
2022-11-23T01:32:31.2687604Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2687703Z               10 LOAD_METHOD              1 (exp)
2022-11-23T01:32:31.2687798Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2687887Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2687966Z               16 BINARY_ADD
2022-11-23T01:32:31.2688062Z               18 CALL_METHOD              1
2022-11-23T01:32:31.2688162Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.2688244Z               22 RETURN_VALUE
2022-11-23T01:32:31.2688310Z  
2022-11-23T01:32:31.2688315Z 
2022-11-23T01:32:31.2688639Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001
2022-11-23T01:32:31.2688857Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2689224Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2689538Z [2022-11-23 01:29:37,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2689884Z [2022-11-23 01:29:37,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2690136Z [2022-11-23 01:29:37,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.2690551Z [2022-11-23 01:29:37,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2690910Z [2022-11-23 01:29:37,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2691271Z [2022-11-23 01:29:37,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2691668Z [2022-11-23 01:29:37,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2692040Z [2022-11-23 01:29:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2692314Z [2022-11-23 01:29:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2692561Z [2022-11-23 01:29:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2692934Z [2022-11-23 01:29:37,917] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000>
2022-11-23T01:32:31.2693173Z [2022-11-23 01:29:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2693410Z [2022-11-23 01:29:37,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2693666Z [2022-11-23 01:29:37,919] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2693921Z [2022-11-23 01:29:37,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2694117Z [2022-11-23 01:29:37,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2694259Z  __compiled_fn_477 <eval_with_key>.2958 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2694355Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2694449Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2694666Z call_function, exp, <built-in method exp of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.2694848Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2695070Z call_function, exp_1, <built-in method exp of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.2695183Z output, output, output, ((exp, exp_1),), {}
2022-11-23T01:32:31.2695189Z 
2022-11-23T01:32:31.2695514Z [2022-11-23 01:29:37,922] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2695613Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2695713Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2695808Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2695901Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2695993Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2696091Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2696175Z              12 RETURN_VALUE
2022-11-23T01:32:31.2696180Z 
2022-11-23T01:32:31.2696246Z  
2022-11-23T01:32:31.2696567Z [2022-11-23 01:29:37,922] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2696685Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_477)
2022-11-23T01:32:31.2696783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2696873Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2696984Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2697098Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2697192Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2697278Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2697374Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2697487Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2697590Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2697686Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2697768Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2697878Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2697973Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2698055Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2698148Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.2698223Z              32 RETURN_VALUE
2022-11-23T01:32:31.2698228Z 
2022-11-23T01:32:31.2698297Z  
2022-11-23T01:32:31.2698486Z [2022-11-23 01:29:37,923] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2698563Z  - 
2022-11-23T01:32:31.2698688Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2698757Z             {
2022-11-23T01:32:31.2699127Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2699312Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2699438Z                 'obj_weakref': None
2022-11-23T01:32:31.2699663Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2699734Z             }
2022-11-23T01:32:31.2699804Z             
2022-11-23T01:32:31.2699881Z  - 
2022-11-23T01:32:31.2700010Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2700074Z             {
2022-11-23T01:32:31.2700226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2700340Z                 'code': None,
2022-11-23T01:32:31.2700554Z                 'obj_weakref': <weakref at 0x7f20233cbf10; to 'Tensor' at 0x7f202320a0c0>
2022-11-23T01:32:31.2700807Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2700877Z             }
2022-11-23T01:32:31.2700947Z             
2022-11-23T01:32:31.2701016Z  - 
2022-11-23T01:32:31.2701143Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2701213Z             {
2022-11-23T01:32:31.2701361Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2701473Z                 'code': None,
2022-11-23T01:32:31.2701681Z                 'obj_weakref': <weakref at 0x7f20681b6520; to 'Tensor' at 0x7f20727a6430>
2022-11-23T01:32:31.2701934Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2702010Z             }
2022-11-23T01:32:31.2702072Z             
2022-11-23T01:32:31.2702150Z  - 
2022-11-23T01:32:31.2702289Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2702360Z             {
2022-11-23T01:32:31.2702502Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2702678Z                 'code': ['___check_obj_id(model, 139780374073920)'],
2022-11-23T01:32:31.2702797Z                 'obj_weakref': None
2022-11-23T01:32:31.2703030Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2703101Z             }
2022-11-23T01:32:31.2703173Z             
2022-11-23T01:32:31.2703250Z  - 
2022-11-23T01:32:31.2703378Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2703447Z             {
2022-11-23T01:32:31.2703583Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2703805Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2703931Z                 'obj_weakref': None
2022-11-23T01:32:31.2704203Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2704298Z             }
2022-11-23T01:32:31.2704368Z             
2022-11-23T01:32:31.2704446Z  - 
2022-11-23T01:32:31.2704579Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2704649Z             {
2022-11-23T01:32:31.2704775Z                 'guard_types': None,
2022-11-23T01:32:31.2704892Z                 'code': None,
2022-11-23T01:32:31.2705017Z                 'obj_weakref': None
2022-11-23T01:32:31.2705146Z                 'guarded_class': None
2022-11-23T01:32:31.2705217Z             }
2022-11-23T01:32:31.2705279Z             
2022-11-23T01:32:31.2705549Z [2022-11-23 01:29:37,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467
2022-11-23T01:32:31.2705849Z [2022-11-23 01:29:37,935] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2706222Z [2022-11-23 01:29:38,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vg/cvgin5djtqso4jzwh2hiahjzclfrsuyib7na2tlyonhl3pequhak.py
2022-11-23T01:32:31.2706495Z [2022-11-23 01:29:38,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467
2022-11-23T01:32:31.2706501Z 
2022-11-23T01:32:31.2706602Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2706677Z import torch
2022-11-23T01:32:31.2706754Z import random
2022-11-23T01:32:31.2706869Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2706998Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2707004Z 
2022-11-23T01:32:31.2707088Z aten = torch.ops.aten
2022-11-23T01:32:31.2707228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2707327Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2707332Z 
2022-11-23T01:32:31.2707412Z import triton
2022-11-23T01:32:31.2707507Z import triton.language as tl
2022-11-23T01:32:31.2707639Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2707776Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2707785Z 
2022-11-23T01:32:31.2707796Z 
2022-11-23T01:32:31.2707965Z triton_fused_exp_exp_1_add0 = async_compile.triton('''
2022-11-23T01:32:31.2708043Z import triton
2022-11-23T01:32:31.2708137Z import triton.language as tl
2022-11-23T01:32:31.2708252Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2708356Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2708493Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2708622Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2708628Z 
2022-11-23T01:32:31.2709023Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.2709097Z @triton.jit
2022-11-23T01:32:31.2709255Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2709338Z     xnumel = 64
2022-11-23T01:32:31.2709436Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2709566Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2709651Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2709717Z     x0 = xindex
2022-11-23T01:32:31.2709816Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.2709914Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.2710000Z     tmp1 = tl.exp(tmp0)
2022-11-23T01:32:31.2710080Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.2710161Z     tmp4 = tl.exp(tmp3)
2022-11-23T01:32:31.2710376Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.2710520Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2710625Z ''')
2022-11-23T01:32:31.2710631Z 
2022-11-23T01:32:31.2710636Z 
2022-11-23T01:32:31.2710796Z async_compile.wait(globals())
2022-11-23T01:32:31.2710912Z del async_compile
2022-11-23T01:32:31.2710917Z 
2022-11-23T01:32:31.2710994Z def call(args):
2022-11-23T01:32:31.2711079Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2711156Z     args.clear()
2022-11-23T01:32:31.2711359Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2711547Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2711639Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2711802Z     triton_fused_exp_exp_1_add0.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.2711876Z     del arg0_1
2022-11-23T01:32:31.2711950Z     del arg1_1
2022-11-23T01:32:31.2712033Z     return (buf0, buf1, )
2022-11-23T01:32:31.2712038Z 
2022-11-23T01:32:31.2712043Z 
2022-11-23T01:32:31.2712124Z if __name__ == "__main__":
2022-11-23T01:32:31.2712246Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2712371Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2712573Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2712769Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2712889Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2712894Z 
2022-11-23T01:32:31.2712899Z 
2022-11-23T01:32:31.2712998Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2713074Z import torch
2022-11-23T01:32:31.2713149Z import random
2022-11-23T01:32:31.2713270Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2713390Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2713395Z 
2022-11-23T01:32:31.2713478Z aten = torch.ops.aten
2022-11-23T01:32:31.2713618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2713716Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2713721Z 
2022-11-23T01:32:31.2713799Z import triton
2022-11-23T01:32:31.2713893Z import triton.language as tl
2022-11-23T01:32:31.2714025Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2714160Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2714176Z 
2022-11-23T01:32:31.2714181Z 
2022-11-23T01:32:31.2714346Z triton_fused_add_exp_exp_10 = async_compile.triton('''
2022-11-23T01:32:31.2714421Z import triton
2022-11-23T01:32:31.2714514Z import triton.language as tl
2022-11-23T01:32:31.2714630Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2714735Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2714870Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2715001Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2715006Z 
2022-11-23T01:32:31.2715409Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.2715480Z @triton.jit
2022-11-23T01:32:31.2715633Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2715707Z     xnumel = 64
2022-11-23T01:32:31.2715807Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2715941Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2716026Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2716098Z     x0 = xindex
2022-11-23T01:32:31.2716211Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2716331Z     tmp2 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.2716414Z     tmp1 = tl.exp(tmp0)
2022-11-23T01:32:31.2716494Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.2716576Z     tmp4 = tl.exp(tmp3)
2022-11-23T01:32:31.2716711Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.2716878Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2716978Z ''')
2022-11-23T01:32:31.2716983Z 
2022-11-23T01:32:31.2716996Z 
2022-11-23T01:32:31.2717084Z async_compile.wait(globals())
2022-11-23T01:32:31.2717163Z del async_compile
2022-11-23T01:32:31.2717168Z 
2022-11-23T01:32:31.2717244Z def call(args):
2022-11-23T01:32:31.2717325Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2717401Z     args.clear()
2022-11-23T01:32:31.2717597Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2717790Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2717875Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2718040Z     triton_fused_add_exp_exp_10.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.2718115Z     del arg0_1
2022-11-23T01:32:31.2718188Z     del arg1_1
2022-11-23T01:32:31.2718272Z     return (buf0, buf1, )
2022-11-23T01:32:31.2718276Z 
2022-11-23T01:32:31.2718281Z 
2022-11-23T01:32:31.2718368Z if __name__ == "__main__":
2022-11-23T01:32:31.2718491Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2718612Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2718810Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2719007Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2719130Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2719135Z 
2022-11-23T01:32:31.2719207Z ok (0.181s)
2022-11-23T01:32:31.2719518Z   test_expand_as_cuda (__main__.CudaTests) ... [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2719833Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2720056Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2720315Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2720585Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2720902Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2721243Z [2022-11-23 01:29:38,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2721563Z [2022-11-23 01:29:38,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2721934Z [2022-11-23 01:29:38,007] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436> 
2022-11-23T01:32:31.2722041Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2722150Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:31.2722248Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2722344Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2722433Z                8 CALL_METHOD              2
2022-11-23T01:32:31.2722534Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2722639Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:31.2722738Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2722833Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2722913Z               18 BINARY_ADD
2022-11-23T01:32:31.2723009Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2723095Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2723208Z               24 BINARY_ADD
2022-11-23T01:32:31.2723324Z               26 CALL_METHOD              2
2022-11-23T01:32:31.2723422Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2723500Z               30 BINARY_ADD
2022-11-23T01:32:31.2723598Z               32 BUILD_TUPLE              2
2022-11-23T01:32:31.2723680Z               34 RETURN_VALUE
2022-11-23T01:32:31.2723740Z  
2022-11-23T01:32:31.2723753Z 
2022-11-23T01:32:31.2724062Z [2022-11-23 01:29:38,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437
2022-11-23T01:32:31.2724284Z [2022-11-23 01:29:38,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2724601Z [2022-11-23 01:29:38,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2724864Z [2022-11-23 01:29:38,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T01:32:31.2725150Z [2022-11-23 01:29:38,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2725466Z [2022-11-23 01:29:38,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2725712Z [2022-11-23 01:29:38,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2726048Z [2022-11-23 01:29:38,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2726334Z [2022-11-23 01:29:38,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T01:32:31.2726652Z [2022-11-23 01:29:38,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2727000Z [2022-11-23 01:29:38,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2727310Z [2022-11-23 01:29:38,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2727650Z [2022-11-23 01:29:38,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2728031Z [2022-11-23 01:29:38,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2728379Z [2022-11-23 01:29:38,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2728653Z [2022-11-23 01:29:38,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2728963Z [2022-11-23 01:29:38,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2729232Z [2022-11-23 01:29:38,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2729483Z [2022-11-23 01:29:38,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2729863Z [2022-11-23 01:29:38,023] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436>
2022-11-23T01:32:31.2730140Z [2022-11-23 01:29:38,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2730373Z [2022-11-23 01:29:38,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2730654Z [2022-11-23 01:29:38,024] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2730907Z [2022-11-23 01:29:38,028] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2731104Z [2022-11-23 01:29:38,028] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2731249Z  __compiled_fn_478 <eval_with_key>.2964 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2731345Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2731438Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2731573Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2731744Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2731925Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.2732059Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T01:32:31.2732250Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T01:32:31.2732368Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T01:32:31.2732373Z 
2022-11-23T01:32:31.2732698Z [2022-11-23 01:29:38,028] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2732801Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2732899Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2732987Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2733089Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2733182Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2733281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2733364Z              12 RETURN_VALUE
2022-11-23T01:32:31.2733371Z 
2022-11-23T01:32:31.2733438Z  
2022-11-23T01:32:31.2733759Z [2022-11-23 01:29:38,028] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2733877Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_478)
2022-11-23T01:32:31.2733967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2734066Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2734150Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2734245Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2734341Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2734427Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2734524Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2734629Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2734737Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2734839Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2734926Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2735034Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2735133Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2735217Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2735304Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.2735388Z              32 RETURN_VALUE
2022-11-23T01:32:31.2735393Z 
2022-11-23T01:32:31.2735460Z  
2022-11-23T01:32:31.2735648Z [2022-11-23 01:29:38,029] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2735725Z  - 
2022-11-23T01:32:31.2735850Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2735922Z             {
2022-11-23T01:32:31.2736060Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2736250Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2736376Z                 'obj_weakref': None
2022-11-23T01:32:31.2736633Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2736738Z             }
2022-11-23T01:32:31.2736812Z             
2022-11-23T01:32:31.2736890Z  - 
2022-11-23T01:32:31.2737013Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2737087Z             {
2022-11-23T01:32:31.2737237Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2737350Z                 'code': None,
2022-11-23T01:32:31.2737566Z                 'obj_weakref': <weakref at 0x7f2115af4590; to 'Tensor' at 0x7f1ff818c950>
2022-11-23T01:32:31.2737818Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2737893Z             }
2022-11-23T01:32:31.2737956Z             
2022-11-23T01:32:31.2738034Z  - 
2022-11-23T01:32:31.2738163Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2738233Z             {
2022-11-23T01:32:31.2738382Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2738496Z                 'code': None,
2022-11-23T01:32:31.2738711Z                 'obj_weakref': <weakref at 0x7f2023064720; to 'Tensor' at 0x7f20681c5940>
2022-11-23T01:32:31.2739153Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2739223Z             }
2022-11-23T01:32:31.2739294Z             
2022-11-23T01:32:31.2739371Z  - 
2022-11-23T01:32:31.2739511Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2739580Z             {
2022-11-23T01:32:31.2739724Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2739892Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2740017Z                 'obj_weakref': None
2022-11-23T01:32:31.2740250Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2740320Z             }
2022-11-23T01:32:31.2740392Z             
2022-11-23T01:32:31.2740472Z  - 
2022-11-23T01:32:31.2740603Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2740665Z             {
2022-11-23T01:32:31.2740806Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2741032Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2741158Z                 'obj_weakref': None
2022-11-23T01:32:31.2741387Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2741457Z             }
2022-11-23T01:32:31.2741527Z             
2022-11-23T01:32:31.2741596Z  - 
2022-11-23T01:32:31.2741733Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2741803Z             {
2022-11-23T01:32:31.2741929Z                 'guard_types': None,
2022-11-23T01:32:31.2742043Z                 'code': None,
2022-11-23T01:32:31.2742167Z                 'obj_weakref': None
2022-11-23T01:32:31.2742301Z                 'guarded_class': None
2022-11-23T01:32:31.2742364Z             }
2022-11-23T01:32:31.2742435Z             
2022-11-23T01:32:31.2742697Z [2022-11-23 01:29:38,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468
2022-11-23T01:32:31.2742947Z [2022-11-23 01:29:38,044] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2743309Z [2022-11-23 01:29:38,111] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfizn6p4xb2inicdzazygtphy76fjtfcpz5jtwxnz7yz4h7ujg4m.py
2022-11-23T01:32:31.2743576Z [2022-11-23 01:29:38,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468
2022-11-23T01:32:31.2743813Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2744130Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2744401Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2744673Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2744953Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2745271Z [2022-11-23 01:29:38,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2745614Z [2022-11-23 01:29:38,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2745935Z [2022-11-23 01:29:38,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2746309Z [2022-11-23 01:29:38,116] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436> 
2022-11-23T01:32:31.2746416Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2746525Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:31.2746626Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2746716Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2746814Z                8 CALL_METHOD              2
2022-11-23T01:32:31.2746916Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.2747023Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:31.2747121Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2747217Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2747298Z               18 BINARY_ADD
2022-11-23T01:32:31.2747385Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.2747486Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2747569Z               24 BINARY_ADD
2022-11-23T01:32:31.2747665Z               26 CALL_METHOD              2
2022-11-23T01:32:31.2747760Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2747840Z               30 BINARY_ADD
2022-11-23T01:32:31.2747936Z               32 BUILD_TUPLE              2
2022-11-23T01:32:31.2748012Z               34 RETURN_VALUE
2022-11-23T01:32:31.2748083Z  
2022-11-23T01:32:31.2748089Z 
2022-11-23T01:32:31.2748403Z [2022-11-23 01:29:38,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437
2022-11-23T01:32:31.2748626Z [2022-11-23 01:29:38,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.2748947Z [2022-11-23 01:29:38,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2749213Z [2022-11-23 01:29:38,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T01:32:31.2749505Z [2022-11-23 01:29:38,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2749826Z [2022-11-23 01:29:38,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2750075Z [2022-11-23 01:29:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2750488Z [2022-11-23 01:29:38,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2750792Z [2022-11-23 01:29:38,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T01:32:31.2751143Z [2022-11-23 01:29:38,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2751517Z [2022-11-23 01:29:38,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2751825Z [2022-11-23 01:29:38,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:31.2752165Z [2022-11-23 01:29:38,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2752545Z [2022-11-23 01:29:38,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2752887Z [2022-11-23 01:29:38,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2753160Z [2022-11-23 01:29:38,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2753468Z [2022-11-23 01:29:38,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2753737Z [2022-11-23 01:29:38,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2753986Z [2022-11-23 01:29:38,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2754365Z [2022-11-23 01:29:38,132] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436>
2022-11-23T01:32:31.2754604Z [2022-11-23 01:29:38,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2754842Z [2022-11-23 01:29:38,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2755097Z [2022-11-23 01:29:38,133] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2755352Z [2022-11-23 01:29:38,137] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2755543Z [2022-11-23 01:29:38,137] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2755687Z  __compiled_fn_479 <eval_with_key>.2970 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2755784Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2755879Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2756004Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2756182Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2756364Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.2756501Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T01:32:31.2756689Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T01:32:31.2756806Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T01:32:31.2756812Z 
2022-11-23T01:32:31.2757136Z [2022-11-23 01:29:38,138] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2757238Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2757328Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2757423Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2757523Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2757616Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2757713Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2757824Z              12 RETURN_VALUE
2022-11-23T01:32:31.2757897Z 
2022-11-23T01:32:31.2757965Z  
2022-11-23T01:32:31.2758285Z [2022-11-23 01:29:38,138] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2758397Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_479)
2022-11-23T01:32:31.2758495Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2758594Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2758677Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2758772Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2758868Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2758950Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2759038Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2759151Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2759264Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2759362Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2759444Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2759554Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2759649Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2759724Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.2759819Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.2759901Z              32 RETURN_VALUE
2022-11-23T01:32:31.2759906Z 
2022-11-23T01:32:31.2759973Z  
2022-11-23T01:32:31.2760160Z [2022-11-23 01:29:38,138] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2760236Z  - 
2022-11-23T01:32:31.2760362Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2760426Z             {
2022-11-23T01:32:31.2760571Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2760760Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2760887Z                 'obj_weakref': None
2022-11-23T01:32:31.2761115Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2761185Z             }
2022-11-23T01:32:31.2761254Z             
2022-11-23T01:32:31.2761324Z  - 
2022-11-23T01:32:31.2761455Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2761525Z             {
2022-11-23T01:32:31.2761674Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2761787Z                 'code': None,
2022-11-23T01:32:31.2762002Z                 'obj_weakref': <weakref at 0x7f2022eafa60; to 'Tensor' at 0x7f206013aa20>
2022-11-23T01:32:31.2762253Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2762324Z             }
2022-11-23T01:32:31.2762386Z             
2022-11-23T01:32:31.2762463Z  - 
2022-11-23T01:32:31.2762591Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2762663Z             {
2022-11-23T01:32:31.2762811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2762926Z                 'code': None,
2022-11-23T01:32:31.2763133Z                 'obj_weakref': <weakref at 0x7f2022eadbc0; to 'Tensor' at 0x7f1ff81a5a80>
2022-11-23T01:32:31.2763382Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2763452Z             }
2022-11-23T01:32:31.2763520Z             
2022-11-23T01:32:31.2763596Z  - 
2022-11-23T01:32:31.2763732Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2763802Z             {
2022-11-23T01:32:31.2763935Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2764109Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2764235Z                 'obj_weakref': None
2022-11-23T01:32:31.2764469Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2764576Z             }
2022-11-23T01:32:31.2764646Z             
2022-11-23T01:32:31.2764775Z  - 
2022-11-23T01:32:31.2764896Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2764969Z             {
2022-11-23T01:32:31.2765113Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2765334Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2765458Z                 'obj_weakref': None
2022-11-23T01:32:31.2765684Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2765754Z             }
2022-11-23T01:32:31.2765816Z             
2022-11-23T01:32:31.2765892Z  - 
2022-11-23T01:32:31.2766030Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2766101Z             {
2022-11-23T01:32:31.2766227Z                 'guard_types': None,
2022-11-23T01:32:31.2766340Z                 'code': None,
2022-11-23T01:32:31.2766463Z                 'obj_weakref': None
2022-11-23T01:32:31.2766586Z                 'guarded_class': None
2022-11-23T01:32:31.2766658Z             }
2022-11-23T01:32:31.2766726Z             
2022-11-23T01:32:31.2766993Z [2022-11-23 01:29:38,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469
2022-11-23T01:32:31.2767248Z [2022-11-23 01:29:38,151] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2767615Z [2022-11-23 01:29:38,218] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4r/c4rh4q4lvinbnwfdm74welzp5ucexgo2herukylz6konqbp6hqf7.py
2022-11-23T01:32:31.2767888Z [2022-11-23 01:29:38,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469
2022-11-23T01:32:31.2767894Z 
2022-11-23T01:32:31.2767999Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2768067Z import torch
2022-11-23T01:32:31.2768142Z import random
2022-11-23T01:32:31.2768265Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2768399Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2768407Z 
2022-11-23T01:32:31.2768493Z aten = torch.ops.aten
2022-11-23T01:32:31.2768637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2768737Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2768743Z 
2022-11-23T01:32:31.2768821Z import triton
2022-11-23T01:32:31.2768908Z import triton.language as tl
2022-11-23T01:32:31.2769038Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2769184Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2769190Z 
2022-11-23T01:32:31.2769195Z 
2022-11-23T01:32:31.2769379Z triton_fused_add_2_add_expand_10 = async_compile.triton('''
2022-11-23T01:32:31.2769461Z import triton
2022-11-23T01:32:31.2769555Z import triton.language as tl
2022-11-23T01:32:31.2769672Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2769769Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2769911Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2770042Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2770048Z 
2022-11-23T01:32:31.2770430Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2770505Z @triton.jit
2022-11-23T01:32:31.2770640Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2770717Z     xnumel = 76800
2022-11-23T01:32:31.2770817Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2770944Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2771030Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2771108Z     x0 = xindex % 100
2022-11-23T01:32:31.2771192Z     x2 = (xindex // 12800)
2022-11-23T01:32:31.2771266Z     x3 = xindex
2022-11-23T01:32:31.2771407Z     tmp0 = tl.load(in_ptr0 + (x0 + (100*x2)), xmask)
2022-11-23T01:32:31.2771498Z     tmp1 = 1
2022-11-23T01:32:31.2771572Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2771652Z     tmp3 = tmp2 + tmp1
2022-11-23T01:32:31.2771794Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2771882Z ''')
2022-11-23T01:32:31.2771888Z 
2022-11-23T01:32:31.2771893Z 
2022-11-23T01:32:31.2771988Z async_compile.wait(globals())
2022-11-23T01:32:31.2772067Z del async_compile
2022-11-23T01:32:31.2772072Z 
2022-11-23T01:32:31.2772149Z def call(args):
2022-11-23T01:32:31.2772232Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2772302Z     args.clear()
2022-11-23T01:32:31.2772521Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2772615Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2772771Z     triton_fused_add_2_add_expand_10.run(arg0_1, buf0, 76800, grid=grid(76800), stream=stream0)
2022-11-23T01:32:31.2772893Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T01:32:31.2772900Z 
2022-11-23T01:32:31.2772905Z 
2022-11-23T01:32:31.2772987Z if __name__ == "__main__":
2022-11-23T01:32:31.2773107Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2773237Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2773444Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2773661Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2773783Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2773788Z 
2022-11-23T01:32:31.2773793Z 
2022-11-23T01:32:31.2773893Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2773969Z import torch
2022-11-23T01:32:31.2774045Z import random
2022-11-23T01:32:31.2774167Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2774286Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2774301Z 
2022-11-23T01:32:31.2774383Z aten = torch.ops.aten
2022-11-23T01:32:31.2774525Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2774623Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2774628Z 
2022-11-23T01:32:31.2774704Z import triton
2022-11-23T01:32:31.2774799Z import triton.language as tl
2022-11-23T01:32:31.2774927Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2775071Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2775077Z 
2022-11-23T01:32:31.2775081Z 
2022-11-23T01:32:31.2775264Z triton_fused_add_expand_1_add_20 = async_compile.triton('''
2022-11-23T01:32:31.2775334Z import triton
2022-11-23T01:32:31.2775427Z import triton.language as tl
2022-11-23T01:32:31.2775544Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2775650Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2775786Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2775917Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2775925Z 
2022-11-23T01:32:31.2776305Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2776380Z @triton.jit
2022-11-23T01:32:31.2776508Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2776585Z     xnumel = 76800
2022-11-23T01:32:31.2776685Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2776817Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2776903Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2776981Z     x0 = xindex % 100
2022-11-23T01:32:31.2777066Z     x2 = (xindex // 12800)
2022-11-23T01:32:31.2777131Z     x3 = xindex
2022-11-23T01:32:31.2777259Z     tmp0 = tl.load(in_ptr0 + (x0 + (100*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.2777360Z     tmp1 = 1
2022-11-23T01:32:31.2777447Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2777546Z     tmp3 = tmp2 + tmp1
2022-11-23T01:32:31.2777684Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.2777766Z ''')
2022-11-23T01:32:31.2777781Z 
2022-11-23T01:32:31.2777785Z 
2022-11-23T01:32:31.2777873Z async_compile.wait(globals())
2022-11-23T01:32:31.2777952Z del async_compile
2022-11-23T01:32:31.2777957Z 
2022-11-23T01:32:31.2778034Z def call(args):
2022-11-23T01:32:31.2778116Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2778193Z     args.clear()
2022-11-23T01:32:31.2778416Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2778510Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2778659Z     triton_fused_add_expand_1_add_20.run(arg0_1, buf0, 76800, grid=grid(76800), stream=stream0)
2022-11-23T01:32:31.2778969Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T01:32:31.2778978Z 
2022-11-23T01:32:31.2778983Z 
2022-11-23T01:32:31.2779070Z if __name__ == "__main__":
2022-11-23T01:32:31.2779190Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2779320Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2779536Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2779754Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2779875Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2779880Z 
2022-11-23T01:32:31.2779955Z ok (0.217s)
2022-11-23T01:32:31.2780255Z   test_expand_cuda (__main__.CudaTests) ... [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2780573Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2780797Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2781055Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2781333Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2781649Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2781990Z [2022-11-23 01:29:38,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2782309Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2782684Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260> 
2022-11-23T01:32:31.2782787Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2782878Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2782956Z                4 BINARY_ADD
2022-11-23T01:32:31.2783059Z                6 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2783154Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2783248Z               10 LOAD_CONST               3 (4)
2022-11-23T01:32:31.2783341Z               12 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2783435Z               14 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2783521Z               16 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2783616Z               18 CALL_METHOD              5
2022-11-23T01:32:31.2783711Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2783842Z               22 BINARY_ADD
2022-11-23T01:32:31.2783871Z 
2022-11-23T01:32:31.2783968Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2784072Z               26 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2784164Z               28 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2784249Z               30 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2784342Z               32 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2784434Z               34 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2784525Z               36 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2784618Z               38 CALL_METHOD              5
2022-11-23T01:32:31.2784710Z               40 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2784788Z               42 BINARY_ADD
2022-11-23T01:32:31.2784793Z 
2022-11-23T01:32:31.2784887Z 1261          44 BUILD_TUPLE              2
2022-11-23T01:32:31.2784892Z 
2022-11-23T01:32:31.2784977Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2785082Z               48 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2785176Z               50 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2785319Z               52 LOAD_CONST               5 (-1)
2022-11-23T01:32:31.2785411Z               54 LOAD_CONST               6 (5)
2022-11-23T01:32:31.2785552Z               56 LOAD_CONST               5 (-1)
2022-11-23T01:32:31.2785645Z               58 CALL_METHOD              4
2022-11-23T01:32:31.2785651Z 
2022-11-23T01:32:31.2785744Z 1261          60 BUILD_TUPLE              2
2022-11-23T01:32:31.2785819Z               62 RETURN_VALUE
2022-11-23T01:32:31.2785887Z  
2022-11-23T01:32:31.2785892Z 
2022-11-23T01:32:31.2786206Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262
2022-11-23T01:32:31.2786419Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.2786662Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.2786947Z [2022-11-23 01:29:38,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2787193Z [2022-11-23 01:29:38,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T01:32:31.2787472Z [2022-11-23 01:29:38,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2787786Z [2022-11-23 01:29:38,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2788126Z [2022-11-23 01:29:38,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2788511Z [2022-11-23 01:29:38,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2788927Z [2022-11-23 01:29:38,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2789383Z [2022-11-23 01:29:38,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2789620Z [2022-11-23 01:29:38,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.2789897Z [2022-11-23 01:29:38,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2790240Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263
2022-11-23T01:32:31.2790595Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.2790888Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2791190Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2791531Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2791906Z [2022-11-23 01:29:38,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2792308Z [2022-11-23 01:29:38,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2792756Z [2022-11-23 01:29:38,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2793236Z [2022-11-23 01:29:38,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2793502Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2793810Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2794130Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:31.2794404Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2794722Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264
2022-11-23T01:32:31.2794961Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T01:32:31.2795238Z [2022-11-23 01:29:38,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.2795547Z [2022-11-23 01:29:38,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2795892Z [2022-11-23 01:29:38,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2796259Z [2022-11-23 01:29:38,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2796673Z [2022-11-23 01:29:38,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2797128Z [2022-11-23 01:29:38,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2797474Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:31.2797763Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.2798010Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2798388Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260>
2022-11-23T01:32:31.2798632Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2798865Z [2022-11-23 01:29:38,230] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2799128Z [2022-11-23 01:29:38,231] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2799384Z [2022-11-23 01:29:38,235] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2799573Z [2022-11-23 01:29:38,235] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2799715Z  __compiled_fn_480 <eval_with_key>.2976 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2799812Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2799990Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2800107Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T01:32:31.2800293Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T01:32:31.2800412Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T01:32:31.2800596Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T01:32:31.2800756Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T01:32:31.2800881Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T01:32:31.2800887Z 
2022-11-23T01:32:31.2801218Z [2022-11-23 01:29:38,236] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2801319Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2801415Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2801508Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2801611Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2801702Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2801790Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2801872Z              12 RETURN_VALUE
2022-11-23T01:32:31.2801878Z 
2022-11-23T01:32:31.2801946Z  
2022-11-23T01:32:31.2802270Z [2022-11-23 01:29:38,236] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2802390Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_480)
2022-11-23T01:32:31.2802490Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2802586Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2802661Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2802756Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2802869Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2802980Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2803077Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2803160Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2803267Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2803362Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2803437Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2803531Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2803673Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2803770Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2803883Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.2803977Z              32 BUILD_TUPLE              2
2022-11-23T01:32:31.2804058Z              34 RETURN_VALUE
2022-11-23T01:32:31.2804063Z 
2022-11-23T01:32:31.2804122Z  
2022-11-23T01:32:31.2804312Z [2022-11-23 01:29:38,236] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2804388Z  - 
2022-11-23T01:32:31.2804512Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2804582Z             {
2022-11-23T01:32:31.2804727Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2804917Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2805034Z                 'obj_weakref': None
2022-11-23T01:32:31.2805260Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2805330Z             }
2022-11-23T01:32:31.2805403Z             
2022-11-23T01:32:31.2805482Z  - 
2022-11-23T01:32:31.2805610Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2805679Z             {
2022-11-23T01:32:31.2805819Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2805930Z                 'code': None,
2022-11-23T01:32:31.2806141Z                 'obj_weakref': <weakref at 0x7f2023100090; to 'Tensor' at 0x7f206013aa20>
2022-11-23T01:32:31.2806392Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2806461Z             }
2022-11-23T01:32:31.2806531Z             
2022-11-23T01:32:31.2806609Z  - 
2022-11-23T01:32:31.2806737Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2806807Z             {
2022-11-23T01:32:31.2806948Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2807122Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2807250Z                 'obj_weakref': None
2022-11-23T01:32:31.2807481Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2807554Z             }
2022-11-23T01:32:31.2807615Z             
2022-11-23T01:32:31.2807692Z  - 
2022-11-23T01:32:31.2807819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2807888Z             {
2022-11-23T01:32:31.2808029Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2808247Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2808370Z                 'obj_weakref': None
2022-11-23T01:32:31.2808589Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2808658Z             }
2022-11-23T01:32:31.2808727Z             
2022-11-23T01:32:31.2808993Z [2022-11-23 01:29:38,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470
2022-11-23T01:32:31.2809247Z [2022-11-23 01:29:38,263] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2809499Z [2022-11-23 01:29:38,269] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2809851Z [2022-11-23 01:29:38,347] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqs4t4rx4emzrgl54p6l5keo36dba3umk2j2ppkdo54jjvt4qp4.py
2022-11-23T01:32:31.2810115Z [2022-11-23 01:29:38,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470
2022-11-23T01:32:31.2810344Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2810659Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2810884Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2811173Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2811471Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2811788Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2812129Z [2022-11-23 01:29:38,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2812470Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2812868Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260> 
2022-11-23T01:32:31.2812972Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2813063Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2813144Z                4 BINARY_ADD
2022-11-23T01:32:31.2813250Z                6 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2813348Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2813446Z               10 LOAD_CONST               3 (4)
2022-11-23T01:32:31.2813543Z               12 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2813639Z               14 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2813725Z               16 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2813821Z               18 CALL_METHOD              5
2022-11-23T01:32:31.2813916Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2814000Z               22 BINARY_ADD
2022-11-23T01:32:31.2814006Z 
2022-11-23T01:32:31.2814100Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2814207Z               26 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2814305Z               28 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2814399Z               30 LOAD_CONST               1 (1)
2022-11-23T01:32:31.2814486Z               32 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2814581Z               34 LOAD_CONST               2 (3)
2022-11-23T01:32:31.2814674Z               36 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2814770Z               38 CALL_METHOD              5
2022-11-23T01:32:31.2814865Z               40 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2814948Z               42 BINARY_ADD
2022-11-23T01:32:31.2814953Z 
2022-11-23T01:32:31.2815049Z 1261          44 BUILD_TUPLE              2
2022-11-23T01:32:31.2815055Z 
2022-11-23T01:32:31.2815143Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T01:32:31.2815246Z               48 LOAD_METHOD              0 (expand)
2022-11-23T01:32:31.2815345Z               50 LOAD_CONST               4 (2)
2022-11-23T01:32:31.2815489Z               52 LOAD_CONST               5 (-1)
2022-11-23T01:32:31.2815585Z               54 LOAD_CONST               6 (5)
2022-11-23T01:32:31.2815727Z               56 LOAD_CONST               5 (-1)
2022-11-23T01:32:31.2815823Z               58 CALL_METHOD              4
2022-11-23T01:32:31.2815828Z 
2022-11-23T01:32:31.2815924Z 1261          60 BUILD_TUPLE              2
2022-11-23T01:32:31.2816001Z               62 RETURN_VALUE
2022-11-23T01:32:31.2816068Z  
2022-11-23T01:32:31.2816074Z 
2022-11-23T01:32:31.2816391Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262
2022-11-23T01:32:31.2816605Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.2816851Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.2817162Z [2022-11-23 01:29:38,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2817430Z [2022-11-23 01:29:38,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T01:32:31.2817710Z [2022-11-23 01:29:38,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2818020Z [2022-11-23 01:29:38,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2818360Z [2022-11-23 01:29:38,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2818740Z [2022-11-23 01:29:38,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2819286Z [2022-11-23 01:29:38,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2819748Z [2022-11-23 01:29:38,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2819989Z [2022-11-23 01:29:38,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.2820270Z [2022-11-23 01:29:38,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2820582Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263
2022-11-23T01:32:31.2820827Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.2821106Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2821414Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2821754Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2822130Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2822540Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2822996Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2823494Z [2022-11-23 01:29:38,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2823768Z [2022-11-23 01:29:38,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2824077Z [2022-11-23 01:29:38,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2824446Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:31.2824744Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2825061Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264
2022-11-23T01:32:31.2825303Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T01:32:31.2825579Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.2825886Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.2826233Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:31.2826615Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2827023Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2827470Z [2022-11-23 01:29:38,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.2827783Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:32:31.2828054Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.2828308Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2828687Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260>
2022-11-23T01:32:31.2828936Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2829173Z [2022-11-23 01:29:38,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2829433Z [2022-11-23 01:29:38,360] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2829691Z [2022-11-23 01:29:38,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2829888Z [2022-11-23 01:29:38,365] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2830024Z  __compiled_fn_481 <eval_with_key>.2982 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2830120Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2830373Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.2830507Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T01:32:31.2830718Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T01:32:31.2830854Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T01:32:31.2831066Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T01:32:31.2831948Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T01:32:31.2832072Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T01:32:31.2832077Z 
2022-11-23T01:32:31.2832459Z [2022-11-23 01:29:38,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2832582Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2832689Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2832804Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2832917Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2833021Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2833110Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2833194Z              12 RETURN_VALUE
2022-11-23T01:32:31.2833200Z 
2022-11-23T01:32:31.2833266Z  
2022-11-23T01:32:31.2833592Z [2022-11-23 01:29:38,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2833709Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_481)
2022-11-23T01:32:31.2833808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2833909Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2833995Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2834082Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2834194Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2834303Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2834400Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2834482Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2834592Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2834689Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2834765Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2834861Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2834968Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2835066Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:31.2835150Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.2835244Z              32 BUILD_TUPLE              2
2022-11-23T01:32:31.2835328Z              34 RETURN_VALUE
2022-11-23T01:32:31.2835334Z 
2022-11-23T01:32:31.2835394Z  
2022-11-23T01:32:31.2835586Z [2022-11-23 01:29:38,366] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2835665Z  - 
2022-11-23T01:32:31.2835795Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2835866Z             {
2022-11-23T01:32:31.2836015Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2836209Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2836327Z                 'obj_weakref': None
2022-11-23T01:32:31.2836558Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2836630Z             }
2022-11-23T01:32:31.2836700Z             
2022-11-23T01:32:31.2836778Z  - 
2022-11-23T01:32:31.2836912Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2836986Z             {
2022-11-23T01:32:31.2837133Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2837246Z                 'code': None,
2022-11-23T01:32:31.2837462Z                 'obj_weakref': <weakref at 0x7f1ff8143010; to 'Tensor' at 0x7f206070e200>
2022-11-23T01:32:31.2837716Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2837785Z             }
2022-11-23T01:32:31.2837856Z             
2022-11-23T01:32:31.2837934Z  - 
2022-11-23T01:32:31.2838062Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2838133Z             {
2022-11-23T01:32:31.2838273Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2838454Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2838579Z                 'obj_weakref': None
2022-11-23T01:32:31.2838848Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2838922Z             }
2022-11-23T01:32:31.2839004Z             
2022-11-23T01:32:31.2839085Z  - 
2022-11-23T01:32:31.2839214Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2839283Z             {
2022-11-23T01:32:31.2839426Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2839653Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2839783Z                 'obj_weakref': None
2022-11-23T01:32:31.2840002Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2840072Z             }
2022-11-23T01:32:31.2840141Z             
2022-11-23T01:32:31.2840407Z [2022-11-23 01:29:38,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471
2022-11-23T01:32:31.2840660Z [2022-11-23 01:29:38,385] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2840912Z [2022-11-23 01:29:38,388] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2841282Z [2022-11-23 01:29:38,466] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b2/cb2ozgqt3iekxtqnqlabjx3juhhet62s56jpu2i6o5gnjrfdx4vr.py
2022-11-23T01:32:31.2841552Z [2022-11-23 01:29:38,466] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471
2022-11-23T01:32:31.2841558Z 
2022-11-23T01:32:31.2841659Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2841728Z import torch
2022-11-23T01:32:31.2841804Z import random
2022-11-23T01:32:31.2841928Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2842056Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2842061Z 
2022-11-23T01:32:31.2842147Z aten = torch.ops.aten
2022-11-23T01:32:31.2842289Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2842392Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2842400Z 
2022-11-23T01:32:31.2842469Z import triton
2022-11-23T01:32:31.2842567Z import triton.language as tl
2022-11-23T01:32:31.2842698Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2842844Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2842850Z 
2022-11-23T01:32:31.2842855Z 
2022-11-23T01:32:31.2843037Z triton_fused_add_1_expand_add0 = async_compile.triton('''
2022-11-23T01:32:31.2843119Z import triton
2022-11-23T01:32:31.2843213Z import triton.language as tl
2022-11-23T01:32:31.2843330Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2843428Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2843565Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2843694Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2843700Z 
2022-11-23T01:32:31.2844085Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2844163Z @triton.jit
2022-11-23T01:32:31.2844298Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2844374Z     xnumel = 144
2022-11-23T01:32:31.2844476Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2844602Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2844687Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2844766Z     x0 = xindex % 2
2022-11-23T01:32:31.2844850Z     x2 = (xindex // 6) % 2
2022-11-23T01:32:31.2844921Z     x4 = xindex
2022-11-23T01:32:31.2845030Z     tmp0 = tl.load(in_ptr0 + (x0 + (2*x2)), xmask)
2022-11-23T01:32:31.2845096Z     tmp1 = 1
2022-11-23T01:32:31.2845177Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2845251Z     tmp3 = 2
2022-11-23T01:32:31.2845331Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.2845470Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2845588Z ''')
2022-11-23T01:32:31.2845612Z 
2022-11-23T01:32:31.2845616Z 
2022-11-23T01:32:31.2845795Z triton_fused_add_2_expand_11 = async_compile.triton('''
2022-11-23T01:32:31.2845872Z import triton
2022-11-23T01:32:31.2845960Z import triton.language as tl
2022-11-23T01:32:31.2846078Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2846183Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2846318Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2846447Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2846452Z 
2022-11-23T01:32:31.2846829Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2846903Z @triton.jit
2022-11-23T01:32:31.2847038Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2847110Z     xnumel = 24
2022-11-23T01:32:31.2847212Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2847348Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2847434Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2847510Z     x0 = xindex % 2
2022-11-23T01:32:31.2847594Z     x2 = (xindex // 6) % 2
2022-11-23T01:32:31.2847666Z     x4 = xindex
2022-11-23T01:32:31.2847768Z     tmp0 = tl.load(in_ptr0 + (x0 + (2*x2)), xmask)
2022-11-23T01:32:31.2847840Z     tmp1 = 2
2022-11-23T01:32:31.2847921Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2848060Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2848149Z ''')
2022-11-23T01:32:31.2848154Z 
2022-11-23T01:32:31.2848159Z 
2022-11-23T01:32:31.2848256Z async_compile.wait(globals())
2022-11-23T01:32:31.2848334Z del async_compile
2022-11-23T01:32:31.2848339Z 
2022-11-23T01:32:31.2848409Z def call(args):
2022-11-23T01:32:31.2848485Z     arg0_1, = args
2022-11-23T01:32:31.2848562Z     args.clear()
2022-11-23T01:32:31.2848789Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2848888Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2849046Z     triton_fused_add_1_expand_add0.run(arg0_1, buf0, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:31.2849270Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2849420Z     triton_fused_add_2_expand_11.run(arg0_1, buf1, 24, grid=grid(24), stream=stream0)
2022-11-23T01:32:31.2849540Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T01:32:31.2849545Z 
2022-11-23T01:32:31.2849550Z 
2022-11-23T01:32:31.2849637Z if __name__ == "__main__":
2022-11-23T01:32:31.2849756Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2849886Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2850098Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2850212Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2850220Z 
2022-11-23T01:32:31.2850224Z 
2022-11-23T01:32:31.2850325Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2850401Z import torch
2022-11-23T01:32:31.2850470Z import random
2022-11-23T01:32:31.2850600Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2850727Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2850732Z 
2022-11-23T01:32:31.2850816Z aten = torch.ops.aten
2022-11-23T01:32:31.2850959Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2851059Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2851064Z 
2022-11-23T01:32:31.2851140Z import triton
2022-11-23T01:32:31.2851234Z import triton.language as tl
2022-11-23T01:32:31.2851356Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2851503Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2851536Z 
2022-11-23T01:32:31.2851541Z 
2022-11-23T01:32:31.2851751Z triton_fused_add_1_add_expand0 = async_compile.triton('''
2022-11-23T01:32:31.2851828Z import triton
2022-11-23T01:32:31.2851926Z import triton.language as tl
2022-11-23T01:32:31.2852043Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2852146Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2852274Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2852404Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2852409Z 
2022-11-23T01:32:31.2852784Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2852859Z @triton.jit
2022-11-23T01:32:31.2852995Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2853071Z     xnumel = 144
2022-11-23T01:32:31.2853174Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2853307Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2853385Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2853462Z     x0 = xindex % 2
2022-11-23T01:32:31.2853546Z     x2 = (xindex // 6) % 2
2022-11-23T01:32:31.2853619Z     x4 = xindex
2022-11-23T01:32:31.2853745Z     tmp0 = tl.load(in_ptr0 + (x0 + (2*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.2853819Z     tmp1 = 1
2022-11-23T01:32:31.2853899Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2853964Z     tmp3 = 2
2022-11-23T01:32:31.2854045Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.2854185Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.2854273Z ''')
2022-11-23T01:32:31.2854278Z 
2022-11-23T01:32:31.2854283Z 
2022-11-23T01:32:31.2854456Z triton_fused_expand_1_add_21 = async_compile.triton('''
2022-11-23T01:32:31.2854532Z import triton
2022-11-23T01:32:31.2854627Z import triton.language as tl
2022-11-23T01:32:31.2854742Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2854849Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2854985Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2855114Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2855120Z 
2022-11-23T01:32:31.2855487Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2855563Z @triton.jit
2022-11-23T01:32:31.2855697Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2855773Z     xnumel = 24
2022-11-23T01:32:31.2855865Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2856000Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2856084Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2856160Z     x0 = xindex % 2
2022-11-23T01:32:31.2856247Z     x2 = (xindex // 6) % 2
2022-11-23T01:32:31.2856324Z     x4 = xindex
2022-11-23T01:32:31.2856448Z     tmp0 = tl.load(in_ptr0 + (x0 + (2*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.2856514Z     tmp1 = 2
2022-11-23T01:32:31.2856597Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.2856733Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.2856819Z ''')
2022-11-23T01:32:31.2856825Z 
2022-11-23T01:32:31.2856829Z 
2022-11-23T01:32:31.2856925Z async_compile.wait(globals())
2022-11-23T01:32:31.2857004Z del async_compile
2022-11-23T01:32:31.2857009Z 
2022-11-23T01:32:31.2857086Z def call(args):
2022-11-23T01:32:31.2857161Z     arg0_1, = args
2022-11-23T01:32:31.2857232Z     args.clear()
2022-11-23T01:32:31.2857451Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2857547Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2857731Z     triton_fused_add_1_add_expand0.run(arg0_1, buf0, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:31.2857973Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2858125Z     triton_fused_expand_1_add_21.run(arg0_1, buf1, 24, grid=grid(24), stream=stream0)
2022-11-23T01:32:31.2858248Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T01:32:31.2858254Z 
2022-11-23T01:32:31.2858258Z 
2022-11-23T01:32:31.2858342Z if __name__ == "__main__":
2022-11-23T01:32:31.2858456Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2858587Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2859003Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2859122Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2859128Z 
2022-11-23T01:32:31.2859201Z ok (0.248s)
2022-11-23T01:32:31.2859531Z   test_expanded_reduction_cuda (__main__.CudaTests) ... [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2859848Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2860068Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2860315Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2860595Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2860911Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2861255Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2861574Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2861945Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 844> 
2022-11-23T01:32:31.2862045Z  845           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2862143Z               2 LOAD_FAST                1 (y)
2022-11-23T01:32:31.2862230Z               4 BINARY_MULTIPLY
2022-11-23T01:32:31.2862336Z               6 STORE_FAST               2 (z)
2022-11-23T01:32:31.2862343Z 
2022-11-23T01:32:31.2862445Z 846           8 LOAD_FAST                2 (z)
2022-11-23T01:32:31.2862565Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.2862676Z              12 LOAD_CONST               1 ((0, 1))
2022-11-23T01:32:31.2862772Z              14 CALL_METHOD              1
2022-11-23T01:32:31.2862858Z              16 RETURN_VALUE
2022-11-23T01:32:31.2862925Z  
2022-11-23T01:32:31.2862930Z 
2022-11-23T01:32:31.2863241Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:845
2022-11-23T01:32:31.2863456Z [2022-11-23 01:29:38,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.2863694Z [2022-11-23 01:29:38,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.2863980Z [2022-11-23 01:29:38,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2864224Z [2022-11-23 01:29:38,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.2864587Z [2022-11-23 01:29:38,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:846
2022-11-23T01:32:31.2864831Z [2022-11-23 01:29:38,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.2865079Z [2022-11-23 01:29:38,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.2865359Z [2022-11-23 01:29:38,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 1) [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.2865682Z [2022-11-23 01:29:38,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(tuple)]
2022-11-23T01:32:31.2865934Z [2022-11-23 01:29:38,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2866304Z [2022-11-23 01:29:38,475] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 844>
2022-11-23T01:32:31.2866554Z [2022-11-23 01:29:38,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2866791Z [2022-11-23 01:29:38,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2867050Z [2022-11-23 01:29:38,476] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2867306Z [2022-11-23 01:29:38,478] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2867501Z [2022-11-23 01:29:38,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2867643Z  __compiled_fn_482 <eval_with_key>.2988 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2867740Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2867835Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2868011Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2868115Z call_method, sum_1, sum, (mul, (0, 1)), {}
2022-11-23T01:32:31.2868220Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:31.2868228Z 
2022-11-23T01:32:31.2868562Z [2022-11-23 01:29:38,479] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2868665Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2868763Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2868857Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2868957Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2869043Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2869139Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2869222Z              12 RETURN_VALUE
2022-11-23T01:32:31.2869227Z 
2022-11-23T01:32:31.2869294Z  
2022-11-23T01:32:31.2869615Z [2022-11-23 01:29:38,479] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2869736Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_482)
2022-11-23T01:32:31.2869837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2869928Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2870013Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2870111Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2870206Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2870360Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2870468Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2870566Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2870641Z              18 RETURN_VALUE
2022-11-23T01:32:31.2870653Z 
2022-11-23T01:32:31.2870712Z  
2022-11-23T01:32:31.2870903Z [2022-11-23 01:29:38,480] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2870980Z  - 
2022-11-23T01:32:31.2871105Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2871174Z             {
2022-11-23T01:32:31.2871396Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2871611Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2871734Z                 'obj_weakref': None
2022-11-23T01:32:31.2871961Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2872032Z             }
2022-11-23T01:32:31.2872102Z             
2022-11-23T01:32:31.2872179Z  - 
2022-11-23T01:32:31.2872311Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2872380Z             {
2022-11-23T01:32:31.2872522Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2872636Z                 'code': None,
2022-11-23T01:32:31.2872849Z                 'obj_weakref': <weakref at 0x7f2060795b70; to 'Tensor' at 0x7f2068240040>
2022-11-23T01:32:31.2873102Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2873180Z             }
2022-11-23T01:32:31.2873253Z             
2022-11-23T01:32:31.2873330Z  - 
2022-11-23T01:32:31.2873451Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2873521Z             {
2022-11-23T01:32:31.2873670Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2873785Z                 'code': None,
2022-11-23T01:32:31.2873991Z                 'obj_weakref': <weakref at 0x7f2060794090; to 'Tensor' at 0x7f2068243650>
2022-11-23T01:32:31.2874246Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2874316Z             }
2022-11-23T01:32:31.2874378Z             
2022-11-23T01:32:31.2874454Z  - 
2022-11-23T01:32:31.2874592Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2874665Z             {
2022-11-23T01:32:31.2874806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2874984Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2875112Z                 'obj_weakref': None
2022-11-23T01:32:31.2875340Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2875411Z             }
2022-11-23T01:32:31.2875481Z             
2022-11-23T01:32:31.2875558Z  - 
2022-11-23T01:32:31.2875686Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2875755Z             {
2022-11-23T01:32:31.2875889Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2876110Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2876234Z                 'obj_weakref': None
2022-11-23T01:32:31.2876458Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2876527Z             }
2022-11-23T01:32:31.2876596Z             
2022-11-23T01:32:31.2876866Z [2022-11-23 01:29:38,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472
2022-11-23T01:32:31.2877118Z [2022-11-23 01:29:38,561] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2877362Z [2022-11-23 01:29:38,589] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2877729Z [2022-11-23 01:29:38,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jv/cjv242aqkzwookneahnhvvydjqq5uoepxademsd5sj7ajen645an.py
2022-11-23T01:32:31.2877996Z [2022-11-23 01:29:38,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472
2022-11-23T01:32:31.2878238Z [2022-11-23 01:29:38,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2878558Z [2022-11-23 01:29:38,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2878815Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2879075Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2879377Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2879698Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2880045Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2880362Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2880736Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 844> 
2022-11-23T01:32:31.2880840Z  845           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2880942Z               2 LOAD_FAST                1 (y)
2022-11-23T01:32:31.2881032Z               4 BINARY_MULTIPLY
2022-11-23T01:32:31.2881131Z               6 STORE_FAST               2 (z)
2022-11-23T01:32:31.2881137Z 
2022-11-23T01:32:31.2881232Z 846           8 LOAD_FAST                2 (z)
2022-11-23T01:32:31.2881333Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.2881434Z              12 LOAD_CONST               1 ((0, 1))
2022-11-23T01:32:31.2881521Z              14 CALL_METHOD              1
2022-11-23T01:32:31.2881604Z              16 RETURN_VALUE
2022-11-23T01:32:31.2881672Z  
2022-11-23T01:32:31.2881677Z 
2022-11-23T01:32:31.2881995Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:845
2022-11-23T01:32:31.2882213Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.2882458Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.2882743Z [2022-11-23 01:29:38,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2882985Z [2022-11-23 01:29:38,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.2883291Z [2022-11-23 01:29:38,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:846
2022-11-23T01:32:31.2883506Z [2022-11-23 01:29:38,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.2883754Z [2022-11-23 01:29:38,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.2884039Z [2022-11-23 01:29:38,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 1) [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.2884362Z [2022-11-23 01:29:38,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(tuple)]
2022-11-23T01:32:31.2884617Z [2022-11-23 01:29:38,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2884995Z [2022-11-23 01:29:38,774] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 844>
2022-11-23T01:32:31.2885248Z [2022-11-23 01:29:38,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.2885490Z [2022-11-23 01:29:38,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2885777Z [2022-11-23 01:29:38,774] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2886026Z [2022-11-23 01:29:38,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2886242Z [2022-11-23 01:29:38,778] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2886384Z  __compiled_fn_483 <eval_with_key>.2994 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2886482Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2886577Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.2886759Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.2886861Z call_method, sum_1, sum, (mul, (0, 1)), {}
2022-11-23T01:32:31.2886956Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:31.2886968Z 
2022-11-23T01:32:31.2887291Z [2022-11-23 01:29:38,778] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2887393Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2887493Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2887589Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2887693Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2887785Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2887882Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2887957Z              12 RETURN_VALUE
2022-11-23T01:32:31.2887969Z 
2022-11-23T01:32:31.2888029Z  
2022-11-23T01:32:31.2888352Z [2022-11-23 01:29:38,778] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2888470Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_483)
2022-11-23T01:32:31.2888568Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2888665Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2888750Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2888848Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2888938Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2889022Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.2889117Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.2889217Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.2889300Z              18 RETURN_VALUE
2022-11-23T01:32:31.2889305Z 
2022-11-23T01:32:31.2889372Z  
2022-11-23T01:32:31.2889562Z [2022-11-23 01:29:38,779] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2889631Z  - 
2022-11-23T01:32:31.2889756Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2889826Z             {
2022-11-23T01:32:31.2889970Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2890160Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.2890287Z                 'obj_weakref': None
2022-11-23T01:32:31.2890516Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2890580Z             }
2022-11-23T01:32:31.2890654Z             
2022-11-23T01:32:31.2890731Z  - 
2022-11-23T01:32:31.2890860Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2890931Z             {
2022-11-23T01:32:31.2891078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2891190Z                 'code': None,
2022-11-23T01:32:31.2891393Z                 'obj_weakref': <weakref at 0x7f1ff81454e0; to 'Tensor' at 0x7f2068243150>
2022-11-23T01:32:31.2891643Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2891712Z             }
2022-11-23T01:32:31.2891782Z             
2022-11-23T01:32:31.2891860Z  - 
2022-11-23T01:32:31.2891988Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.2892057Z             {
2022-11-23T01:32:31.2892197Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2892310Z                 'code': None,
2022-11-23T01:32:31.2892553Z                 'obj_weakref': <weakref at 0x7f1fd9a59800; to 'Tensor' at 0x7f20230b5e40>
2022-11-23T01:32:31.2892824Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2892894Z             }
2022-11-23T01:32:31.2892963Z             
2022-11-23T01:32:31.2893041Z  - 
2022-11-23T01:32:31.2893171Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2893242Z             {
2022-11-23T01:32:31.2893383Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2893559Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2893685Z                 'obj_weakref': None
2022-11-23T01:32:31.2893921Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2893993Z             }
2022-11-23T01:32:31.2894055Z             
2022-11-23T01:32:31.2894131Z  - 
2022-11-23T01:32:31.2894261Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2894330Z             {
2022-11-23T01:32:31.2894475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2894703Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2894829Z                 'obj_weakref': None
2022-11-23T01:32:31.2895047Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2895119Z             }
2022-11-23T01:32:31.2895187Z             
2022-11-23T01:32:31.2895452Z [2022-11-23 01:29:38,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473
2022-11-23T01:32:31.2895706Z [2022-11-23 01:29:38,802] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2895955Z [2022-11-23 01:29:38,810] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2895961Z 
2022-11-23T01:32:31.2896066Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2896141Z import torch
2022-11-23T01:32:31.2896213Z import random
2022-11-23T01:32:31.2896338Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2896466Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2896471Z 
2022-11-23T01:32:31.2896556Z aten = torch.ops.aten
2022-11-23T01:32:31.2896699Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2896800Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2896805Z 
2022-11-23T01:32:31.2896880Z import triton
2022-11-23T01:32:31.2896976Z import triton.language as tl
2022-11-23T01:32:31.2897097Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2897241Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2897246Z 
2022-11-23T01:32:31.2897251Z 
2022-11-23T01:32:31.2897415Z triton_fused_mul_sum_10 = async_compile.triton('''
2022-11-23T01:32:31.2897491Z import triton
2022-11-23T01:32:31.2897590Z import triton.language as tl
2022-11-23T01:32:31.2897707Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2897814Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2897943Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.2898072Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2898077Z 
2022-11-23T01:32:31.2898171Z @reduction(size_hints=[1024, 128],
2022-11-23T01:32:31.2898288Z               reduction_hint=ReductionHint.OUTER,
2022-11-23T01:32:31.2898377Z               filename=__file__,
2022-11-23T01:32:31.2898723Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2898993Z @triton.jit
2022-11-23T01:32:31.2899181Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.2899249Z     xnumel = 1024
2022-11-23T01:32:31.2899371Z     rnumel = 99
2022-11-23T01:32:31.2899506Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2899645Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.2899733Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2899854Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.2899937Z     x1 = (xindex // 256)
2022-11-23T01:32:31.2900008Z     x0 = xindex % 256
2022-11-23T01:32:31.2900129Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.2900202Z     x3 = xindex
2022-11-23T01:32:31.2900310Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.2900400Z         rindex = roffset + rbase
2022-11-23T01:32:31.2900490Z         rmask = rindex < rnumel
2022-11-23T01:32:31.2900562Z         r2 = rindex
2022-11-23T01:32:31.2900638Z         tmp0 = r2 + (99*x1)
2022-11-23T01:32:31.2900713Z         tmp1 = 394
2022-11-23T01:32:31.2900799Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.2901138Z         tmp3 = tl.load(in_ptr0 + (x0 + (256*((r2 + (99*x1)) % 394)) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0)
2022-11-23T01:32:31.2901470Z         tmp4 = tl.load(in_ptr1 + (x0 + (256*(((r2 + (99*x1)) // 197) % 2)) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0)
2022-11-23T01:32:31.2901554Z         tmp5 = tmp3 * tmp4
2022-11-23T01:32:31.2901650Z         tmp6 = tl.where(tmp2, tmp5, 0)
2022-11-23T01:32:31.2901772Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.2901883Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.2901985Z     tl.store(out_ptr0 + x3, tmp7, xmask)
2022-11-23T01:32:31.2902071Z ''')
2022-11-23T01:32:31.2902077Z 
2022-11-23T01:32:31.2902081Z 
2022-11-23T01:32:31.2902261Z triton_fused_mul_sum_11 = async_compile.triton('''
2022-11-23T01:32:31.2902347Z import triton
2022-11-23T01:32:31.2902461Z import triton.language as tl
2022-11-23T01:32:31.2902585Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2902685Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2902819Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.2902946Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2902952Z 
2022-11-23T01:32:31.2903045Z @reduction(size_hints=[256, 4],
2022-11-23T01:32:31.2903170Z               reduction_hint=ReductionHint.OUTER_TINY,
2022-11-23T01:32:31.2903256Z               filename=__file__,
2022-11-23T01:32:31.2903586Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2903659Z @triton.jit
2022-11-23T01:32:31.2903824Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.2903900Z     xnumel = 256
2022-11-23T01:32:31.2903973Z     rnumel = 4
2022-11-23T01:32:31.2904081Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2904225Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.2904309Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2904432Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.2904497Z     x0 = xindex
2022-11-23T01:32:31.2904616Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.2904722Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.2904811Z         rindex = roffset + rbase
2022-11-23T01:32:31.2904898Z         rmask = rindex < rnumel
2022-11-23T01:32:31.2904973Z         r1 = rindex
2022-11-23T01:32:31.2905193Z         tmp0 = tl.load(in_ptr0 + (x0 + (256*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.2905308Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.2905426Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.2905562Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:31.2905650Z ''')
2022-11-23T01:32:31.2905674Z 
2022-11-23T01:32:31.2905678Z 
2022-11-23T01:32:31.2905776Z async_compile.wait(globals())
2022-11-23T01:32:31.2905854Z del async_compile
2022-11-23T01:32:31.2905859Z 
2022-11-23T01:32:31.2905935Z def call(args):
2022-11-23T01:32:31.2906015Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2906085Z     args.clear()
2022-11-23T01:32:31.2906295Z     buf0 = empty_strided((256, 4), (1, 256), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2906389Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2906542Z     triton_fused_mul_sum_10.run(arg0_1, arg1_1, buf0, 1024, 99, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.2906616Z     del arg0_1
2022-11-23T01:32:31.2906689Z     del arg1_1
2022-11-23T01:32:31.2906891Z     buf1 = empty_strided((256, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2907030Z     triton_fused_mul_sum_11.run(buf0, buf1, 256, 4, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2907110Z     return (buf1, )
2022-11-23T01:32:31.2907115Z 
2022-11-23T01:32:31.2907123Z 
2022-11-23T01:32:31.2907207Z if __name__ == "__main__":
2022-11-23T01:32:31.2907327Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2907457Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2907675Z     arg0_1 = rand_strided((2, 197, 256), (50432, 256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2907884Z     arg1_1 = rand_strided((2, 1, 256), (256, 256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2908004Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2908009Z 
2022-11-23T01:32:31.2908377Z [2022-11-23 01:29:38,917] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cr/ccrd2lpqcerveiefp4fwzf6fed5bsg2ved2yld2pipqaqme5su2w.py
2022-11-23T01:32:31.2908637Z [2022-11-23 01:29:38,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473
2022-11-23T01:32:31.2908643Z 
2022-11-23T01:32:31.2908746Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2908824Z import torch
2022-11-23T01:32:31.2908902Z import random
2022-11-23T01:32:31.2909024Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2909151Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2909157Z 
2022-11-23T01:32:31.2909239Z aten = torch.ops.aten
2022-11-23T01:32:31.2909382Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2909473Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2909478Z 
2022-11-23T01:32:31.2909555Z import triton
2022-11-23T01:32:31.2909653Z import triton.language as tl
2022-11-23T01:32:31.2909779Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2909923Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2909928Z 
2022-11-23T01:32:31.2909932Z 
2022-11-23T01:32:31.2910098Z triton_fused_sum_1_mul0 = async_compile.triton('''
2022-11-23T01:32:31.2910174Z import triton
2022-11-23T01:32:31.2910329Z import triton.language as tl
2022-11-23T01:32:31.2910467Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2910585Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2910722Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.2910853Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2910858Z 
2022-11-23T01:32:31.2910953Z @reduction(size_hints=[1024, 128],
2022-11-23T01:32:31.2911074Z               reduction_hint=ReductionHint.OUTER,
2022-11-23T01:32:31.2911161Z               filename=__file__,
2022-11-23T01:32:31.2911499Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.2911573Z @triton.jit
2022-11-23T01:32:31.2911754Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.2911864Z     xnumel = 1024
2022-11-23T01:32:31.2911959Z     rnumel = 99
2022-11-23T01:32:31.2912058Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2912197Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.2912274Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2912396Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.2912478Z     x1 = (xindex // 256)
2022-11-23T01:32:31.2912555Z     x0 = xindex % 256
2022-11-23T01:32:31.2912674Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.2912746Z     x3 = xindex
2022-11-23T01:32:31.2912853Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.2912936Z         rindex = roffset + rbase
2022-11-23T01:32:31.2913023Z         rmask = rindex < rnumel
2022-11-23T01:32:31.2913096Z         r2 = rindex
2022-11-23T01:32:31.2913177Z         tmp0 = r2 + (99*x1)
2022-11-23T01:32:31.2913251Z         tmp1 = 394
2022-11-23T01:32:31.2913335Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.2913684Z         tmp3 = tl.load(in_ptr0 + (x0 + (256*((r2 + (99*x1)) % 394)) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:31.2914036Z         tmp4 = tl.load(in_ptr1 + (x0 + (256*(((r2 + (99*x1)) // 197) % 2)) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:31.2914112Z         tmp5 = tmp3 * tmp4
2022-11-23T01:32:31.2914209Z         tmp6 = tl.where(tmp2, tmp5, 0)
2022-11-23T01:32:31.2914333Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.2914451Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.2914550Z     tl.store(out_ptr0 + x3, tmp7, xmask)
2022-11-23T01:32:31.2914636Z ''')
2022-11-23T01:32:31.2914642Z 
2022-11-23T01:32:31.2914646Z 
2022-11-23T01:32:31.2914807Z triton_fused_sum_1_mul1 = async_compile.triton('''
2022-11-23T01:32:31.2914883Z import triton
2022-11-23T01:32:31.2914973Z import triton.language as tl
2022-11-23T01:32:31.2915092Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2915197Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2915332Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.2915460Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2915465Z 
2022-11-23T01:32:31.2915557Z @reduction(size_hints=[256, 4],
2022-11-23T01:32:31.2915680Z               reduction_hint=ReductionHint.OUTER_TINY,
2022-11-23T01:32:31.2915760Z               filename=__file__,
2022-11-23T01:32:31.2916086Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.2916162Z @triton.jit
2022-11-23T01:32:31.2916332Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.2916410Z     xnumel = 256
2022-11-23T01:32:31.2916484Z     rnumel = 4
2022-11-23T01:32:31.2916586Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2916717Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.2916802Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2916925Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.2916996Z     x0 = xindex
2022-11-23T01:32:31.2917114Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.2917220Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.2917310Z         rindex = roffset + rbase
2022-11-23T01:32:31.2917389Z         rmask = rindex < rnumel
2022-11-23T01:32:31.2917463Z         r1 = rindex
2022-11-23T01:32:31.2917683Z         tmp0 = tl.load(in_ptr0 + (x0 + (256*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.2917806Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.2917954Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.2918057Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:31.2918163Z ''')
2022-11-23T01:32:31.2918169Z 
2022-11-23T01:32:31.2918173Z 
2022-11-23T01:32:31.2918271Z async_compile.wait(globals())
2022-11-23T01:32:31.2918342Z del async_compile
2022-11-23T01:32:31.2918347Z 
2022-11-23T01:32:31.2918426Z def call(args):
2022-11-23T01:32:31.2918508Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.2918585Z     args.clear()
2022-11-23T01:32:31.2918788Z     buf0 = empty_strided((256, 4), (1, 256), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2918880Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2919034Z     triton_fused_sum_1_mul0.run(arg0_1, arg1_1, buf0, 1024, 99, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.2919101Z     del arg0_1
2022-11-23T01:32:31.2919175Z     del arg1_1
2022-11-23T01:32:31.2919373Z     buf1 = empty_strided((256, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2919519Z     triton_fused_sum_1_mul1.run(buf0, buf1, 256, 4, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2919598Z     return (buf1, )
2022-11-23T01:32:31.2919603Z 
2022-11-23T01:32:31.2919608Z 
2022-11-23T01:32:31.2919689Z if __name__ == "__main__":
2022-11-23T01:32:31.2919808Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2919939Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2920148Z     arg0_1 = rand_strided((2, 197, 256), (50432, 256, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2920358Z     arg1_1 = rand_strided((2, 1, 256), (256, 256, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2920478Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.2920483Z 
2022-11-23T01:32:31.2920555Z ok (0.450s)
2022-11-23T01:32:31.2920859Z   test_fill1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2921181Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2921403Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2921659Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2921939Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2922250Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2922592Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2922921Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2923302Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490> 
2022-11-23T01:32:31.2923407Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2923514Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:31.2923614Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2923710Z                6 CALL_METHOD              1
2022-11-23T01:32:31.2923811Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.2923817Z 
2022-11-23T01:32:31.2923909Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2924010Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:31.2924107Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:31.2924208Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T01:32:31.2924336Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2924458Z               20 LOAD_CONST               1 (2)
2022-11-23T01:32:31.2924556Z               22 CALL_METHOD              2
2022-11-23T01:32:31.2924651Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.2924727Z               26 RETURN_VALUE
2022-11-23T01:32:31.2924794Z  
2022-11-23T01:32:31.2924799Z 
2022-11-23T01:32:31.2925117Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491
2022-11-23T01:32:31.2925340Z [2022-11-23 01:29:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2925713Z [2022-11-23 01:29:38,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2926044Z [2022-11-23 01:29:38,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2926403Z [2022-11-23 01:29:38,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2926649Z [2022-11-23 01:29:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.2926964Z [2022-11-23 01:29:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492
2022-11-23T01:32:31.2927176Z [2022-11-23 01:29:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:31.2927425Z [2022-11-23 01:29:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2927756Z [2022-11-23 01:29:38,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2928043Z [2022-11-23 01:29:38,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:31.2928335Z [2022-11-23 01:29:38,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T01:32:31.2928660Z [2022-11-23 01:29:38,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T01:32:31.2929018Z [2022-11-23 01:29:38,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2929288Z [2022-11-23 01:29:38,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2929541Z [2022-11-23 01:29:38,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2929922Z [2022-11-23 01:29:38,930] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490>
2022-11-23T01:32:31.2930173Z [2022-11-23 01:29:38,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2930405Z [2022-11-23 01:29:38,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2930664Z [2022-11-23 01:29:38,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2930919Z [2022-11-23 01:29:38,933] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2931114Z [2022-11-23 01:29:38,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2931283Z  __compiled_fn_484 <eval_with_key>.3000 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2931380Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2931647Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.2931789Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T01:32:31.2931908Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T01:32:31.2931922Z 
2022-11-23T01:32:31.2932238Z [2022-11-23 01:29:38,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2932337Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2932438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2932537Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2932636Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2932730Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2932828Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2932904Z              12 RETURN_VALUE
2022-11-23T01:32:31.2932912Z 
2022-11-23T01:32:31.2932979Z  
2022-11-23T01:32:31.2933297Z [2022-11-23 01:29:38,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2933414Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_484)
2022-11-23T01:32:31.2933512Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2933610Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2933694Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2933791Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2933897Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2934008Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2934107Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2934190Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2934303Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2934402Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2934484Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2934572Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2934655Z              26 RETURN_VALUE
2022-11-23T01:32:31.2934660Z 
2022-11-23T01:32:31.2934729Z  
2022-11-23T01:32:31.2934917Z [2022-11-23 01:29:38,935] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2934994Z  - 
2022-11-23T01:32:31.2935117Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2935187Z             {
2022-11-23T01:32:31.2935325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2935517Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2935641Z                 'obj_weakref': None
2022-11-23T01:32:31.2935869Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2935942Z             }
2022-11-23T01:32:31.2936015Z             
2022-11-23T01:32:31.2936091Z  - 
2022-11-23T01:32:31.2936214Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2936283Z             {
2022-11-23T01:32:31.2936433Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2936546Z                 'code': None,
2022-11-23T01:32:31.2936757Z                 'obj_weakref': <weakref at 0x7f20601382c0; to 'Tensor' at 0x7f2151f01530>
2022-11-23T01:32:31.2937009Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2937080Z             }
2022-11-23T01:32:31.2937142Z             
2022-11-23T01:32:31.2937219Z  - 
2022-11-23T01:32:31.2937356Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2937425Z             {
2022-11-23T01:32:31.2937567Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2937775Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2937902Z                 'obj_weakref': None
2022-11-23T01:32:31.2938148Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2938219Z             }
2022-11-23T01:32:31.2938289Z             
2022-11-23T01:32:31.2938365Z  - 
2022-11-23T01:32:31.2938494Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2938563Z             {
2022-11-23T01:32:31.2938707Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2939116Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2939244Z                 'obj_weakref': None
2022-11-23T01:32:31.2939471Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2939541Z             }
2022-11-23T01:32:31.2939611Z             
2022-11-23T01:32:31.2939688Z  - 
2022-11-23T01:32:31.2939826Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2939891Z             {
2022-11-23T01:32:31.2940022Z                 'guard_types': None,
2022-11-23T01:32:31.2940135Z                 'code': None,
2022-11-23T01:32:31.2940259Z                 'obj_weakref': None
2022-11-23T01:32:31.2940388Z                 'guarded_class': None
2022-11-23T01:32:31.2940458Z             }
2022-11-23T01:32:31.2940527Z             
2022-11-23T01:32:31.2940596Z  - 
2022-11-23T01:32:31.2940735Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2940805Z             {
2022-11-23T01:32:31.2940933Z                 'guard_types': None,
2022-11-23T01:32:31.2941047Z                 'code': None,
2022-11-23T01:32:31.2941171Z                 'obj_weakref': None
2022-11-23T01:32:31.2941292Z                 'guarded_class': None
2022-11-23T01:32:31.2941361Z             }
2022-11-23T01:32:31.2941432Z             
2022-11-23T01:32:31.2941698Z [2022-11-23 01:29:38,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474
2022-11-23T01:32:31.2941953Z [2022-11-23 01:29:38,944] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2942205Z [2022-11-23 01:29:38,945] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2942577Z [2022-11-23 01:29:39,018] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co4bbzjws6zdikblkd4tzvsir4otatj6a7pbbiyovkpe5pvqxt24.py
2022-11-23T01:32:31.2942849Z [2022-11-23 01:29:39,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474
2022-11-23T01:32:31.2943093Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2943404Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2943630Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2943891Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2944175Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2944497Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2944846Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2945171Z [2022-11-23 01:29:39,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2945592Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490> 
2022-11-23T01:32:31.2945740Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2945848Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:31.2945941Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2946039Z                6 CALL_METHOD              1
2022-11-23T01:32:31.2946142Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.2946147Z 
2022-11-23T01:32:31.2946247Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2946347Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:31.2946443Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:31.2946547Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T01:32:31.2946638Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2946737Z               20 LOAD_CONST               1 (2)
2022-11-23T01:32:31.2946834Z               22 CALL_METHOD              2
2022-11-23T01:32:31.2946936Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.2947021Z               26 RETURN_VALUE
2022-11-23T01:32:31.2947090Z  
2022-11-23T01:32:31.2947095Z 
2022-11-23T01:32:31.2947416Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491
2022-11-23T01:32:31.2947642Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2948011Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2948338Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2948696Z [2022-11-23 01:29:39,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2948944Z [2022-11-23 01:29:39,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.2949259Z [2022-11-23 01:29:39,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492
2022-11-23T01:32:31.2949482Z [2022-11-23 01:29:39,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:31.2949740Z [2022-11-23 01:29:39,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2950077Z [2022-11-23 01:29:39,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2950448Z [2022-11-23 01:29:39,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:31.2950768Z [2022-11-23 01:29:39,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T01:32:31.2951097Z [2022-11-23 01:29:39,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T01:32:31.2951454Z [2022-11-23 01:29:39,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.2951728Z [2022-11-23 01:29:39,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2951980Z [2022-11-23 01:29:39,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2952392Z [2022-11-23 01:29:39,030] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490>
2022-11-23T01:32:31.2952662Z [2022-11-23 01:29:39,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2952905Z [2022-11-23 01:29:39,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2953169Z [2022-11-23 01:29:39,031] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2953429Z [2022-11-23 01:29:39,033] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2953624Z [2022-11-23 01:29:39,034] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2953767Z  __compiled_fn_485 <eval_with_key>.3006 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2953856Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2954106Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.2954248Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T01:32:31.2954377Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T01:32:31.2954382Z 
2022-11-23T01:32:31.2954712Z [2022-11-23 01:29:39,034] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2954814Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2954913Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2955009Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2955102Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2955196Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2955293Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2955377Z              12 RETURN_VALUE
2022-11-23T01:32:31.2955382Z 
2022-11-23T01:32:31.2955448Z  
2022-11-23T01:32:31.2955775Z [2022-11-23 01:29:39,034] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2955897Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_485)
2022-11-23T01:32:31.2955993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2956084Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2956168Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2956263Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2956376Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2956486Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2956585Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2956669Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2956771Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2956868Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2956950Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2957047Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2957131Z              26 RETURN_VALUE
2022-11-23T01:32:31.2957136Z 
2022-11-23T01:32:31.2957203Z  
2022-11-23T01:32:31.2957392Z [2022-11-23 01:29:39,035] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2957462Z  - 
2022-11-23T01:32:31.2957589Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2957659Z             {
2022-11-23T01:32:31.2957810Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2958005Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.2958133Z                 'obj_weakref': None
2022-11-23T01:32:31.2958360Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.2958423Z             }
2022-11-23T01:32:31.2958494Z             
2022-11-23T01:32:31.2958571Z  - 
2022-11-23T01:32:31.2958706Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.2958805Z             {
2022-11-23T01:32:31.2958955Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.2959093Z                 'code': None,
2022-11-23T01:32:31.2959295Z                 'obj_weakref': <weakref at 0x7f2060794090; to 'Tensor' at 0x7f2072857240>
2022-11-23T01:32:31.2959545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.2959617Z             }
2022-11-23T01:32:31.2959687Z             
2022-11-23T01:32:31.2959763Z  - 
2022-11-23T01:32:31.2959898Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.2959970Z             {
2022-11-23T01:32:31.2960102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.2960277Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.2960402Z                 'obj_weakref': None
2022-11-23T01:32:31.2960635Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.2960707Z             }
2022-11-23T01:32:31.2960777Z             
2022-11-23T01:32:31.2960859Z  - 
2022-11-23T01:32:31.2960980Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.2961051Z             {
2022-11-23T01:32:31.2961196Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.2961417Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.2961542Z                 'obj_weakref': None
2022-11-23T01:32:31.2961774Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.2961844Z             }
2022-11-23T01:32:31.2961906Z             
2022-11-23T01:32:31.2961983Z  - 
2022-11-23T01:32:31.2962121Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.2962189Z             {
2022-11-23T01:32:31.2962318Z                 'guard_types': None,
2022-11-23T01:32:31.2962431Z                 'code': None,
2022-11-23T01:32:31.2962555Z                 'obj_weakref': None
2022-11-23T01:32:31.2962678Z                 'guarded_class': None
2022-11-23T01:32:31.2962752Z             }
2022-11-23T01:32:31.2962821Z             
2022-11-23T01:32:31.2962897Z  - 
2022-11-23T01:32:31.2963037Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.2963106Z             {
2022-11-23T01:32:31.2963224Z                 'guard_types': None,
2022-11-23T01:32:31.2963338Z                 'code': None,
2022-11-23T01:32:31.2963461Z                 'obj_weakref': None
2022-11-23T01:32:31.2963590Z                 'guarded_class': None
2022-11-23T01:32:31.2963659Z             }
2022-11-23T01:32:31.2963729Z             
2022-11-23T01:32:31.2963997Z [2022-11-23 01:29:39,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475
2022-11-23T01:32:31.2964241Z [2022-11-23 01:29:39,043] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.2964494Z [2022-11-23 01:29:39,044] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.2964858Z [2022-11-23 01:29:39,112] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gx/cgx62a7djv2jnh5j56zpzlwjesqmrbnayesahazhs4qwbeuuzyam.py
2022-11-23T01:32:31.2965130Z [2022-11-23 01:29:39,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475
2022-11-23T01:32:31.2965137Z 
2022-11-23T01:32:31.2965239Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2965314Z import torch
2022-11-23T01:32:31.2965395Z import random
2022-11-23T01:32:31.2965519Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2965652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2965658Z 
2022-11-23T01:32:31.2965735Z aten = torch.ops.aten
2022-11-23T01:32:31.2965877Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2965976Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2965981Z 
2022-11-23T01:32:31.2966057Z import triton
2022-11-23T01:32:31.2966184Z import triton.language as tl
2022-11-23T01:32:31.2966335Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2966479Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2966485Z 
2022-11-23T01:32:31.2966490Z 
2022-11-23T01:32:31.2966661Z triton_fused_ones_like0 = async_compile.triton('''
2022-11-23T01:32:31.2966729Z import triton
2022-11-23T01:32:31.2966824Z import triton.language as tl
2022-11-23T01:32:31.2966941Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2967046Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2967182Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2967311Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2967316Z 
2022-11-23T01:32:31.2967675Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2967754Z @triton.jit
2022-11-23T01:32:31.2967874Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2967955Z     xnumel = 256
2022-11-23T01:32:31.2968054Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2968187Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2968274Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2968349Z     x0 = xindex
2022-11-23T01:32:31.2968414Z     tmp0 = 1
2022-11-23T01:32:31.2968553Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.2968639Z ''')
2022-11-23T01:32:31.2968644Z 
2022-11-23T01:32:31.2968649Z 
2022-11-23T01:32:31.2968831Z triton_fused_ones_like_full_like1 = async_compile.triton('''
2022-11-23T01:32:31.2968908Z import triton
2022-11-23T01:32:31.2969002Z import triton.language as tl
2022-11-23T01:32:31.2969119Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2969223Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2969355Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2969486Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2969491Z 
2022-11-23T01:32:31.2969849Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2969923Z @triton.jit
2022-11-23T01:32:31.2970050Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2970126Z     xnumel = 256
2022-11-23T01:32:31.2970226Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2970359Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2970437Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2970511Z     x0 = xindex
2022-11-23T01:32:31.2970585Z     tmp0 = 2
2022-11-23T01:32:31.2970720Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.2970809Z ''')
2022-11-23T01:32:31.2970816Z 
2022-11-23T01:32:31.2970824Z 
2022-11-23T01:32:31.2970919Z async_compile.wait(globals())
2022-11-23T01:32:31.2970997Z del async_compile
2022-11-23T01:32:31.2971002Z 
2022-11-23T01:32:31.2971072Z def call(args):
2022-11-23T01:32:31.2971149Z     arg0_1, = args
2022-11-23T01:32:31.2971228Z     args.clear()
2022-11-23T01:32:31.2971431Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2971524Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2971664Z     triton_fused_ones_like0.run(buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2971864Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2972012Z     triton_fused_ones_like_full_like1.run(buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2972089Z     return (buf0, buf1, )
2022-11-23T01:32:31.2972095Z 
2022-11-23T01:32:31.2972099Z 
2022-11-23T01:32:31.2972182Z if __name__ == "__main__":
2022-11-23T01:32:31.2972335Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2972510Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2972714Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.2972828Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2972834Z 
2022-11-23T01:32:31.2972838Z 
2022-11-23T01:32:31.2972939Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.2973015Z import torch
2022-11-23T01:32:31.2973084Z import random
2022-11-23T01:32:31.2973205Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.2973333Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.2973338Z 
2022-11-23T01:32:31.2973425Z aten = torch.ops.aten
2022-11-23T01:32:31.2973566Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.2973665Z async_compile = AsyncCompile()
2022-11-23T01:32:31.2973670Z 
2022-11-23T01:32:31.2973748Z import triton
2022-11-23T01:32:31.2973839Z import triton.language as tl
2022-11-23T01:32:31.2973971Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.2974115Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.2974121Z 
2022-11-23T01:32:31.2974125Z 
2022-11-23T01:32:31.2974290Z triton_fused_ones_like0 = async_compile.triton('''
2022-11-23T01:32:31.2974368Z import triton
2022-11-23T01:32:31.2974464Z import triton.language as tl
2022-11-23T01:32:31.2974579Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2974684Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2974814Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2974942Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2974947Z 
2022-11-23T01:32:31.2975303Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2975381Z @triton.jit
2022-11-23T01:32:31.2975508Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2975584Z     xnumel = 256
2022-11-23T01:32:31.2975684Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2975817Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2975895Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2975968Z     x0 = xindex
2022-11-23T01:32:31.2976043Z     tmp0 = 1
2022-11-23T01:32:31.2976181Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.2976269Z ''')
2022-11-23T01:32:31.2976275Z 
2022-11-23T01:32:31.2976279Z 
2022-11-23T01:32:31.2976465Z triton_fused_ones_like_full_like1 = async_compile.triton('''
2022-11-23T01:32:31.2976542Z import triton
2022-11-23T01:32:31.2976629Z import triton.language as tl
2022-11-23T01:32:31.2976746Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.2976849Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.2976985Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.2977117Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.2977122Z 
2022-11-23T01:32:31.2977474Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.2977549Z @triton.jit
2022-11-23T01:32:31.2977672Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.2977741Z     xnumel = 256
2022-11-23T01:32:31.2977841Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.2977972Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.2978058Z     xmask = xindex < xnumel
2022-11-23T01:32:31.2978131Z     x0 = xindex
2022-11-23T01:32:31.2978204Z     tmp0 = 2
2022-11-23T01:32:31.2978341Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.2978421Z ''')
2022-11-23T01:32:31.2978457Z 
2022-11-23T01:32:31.2978489Z 
2022-11-23T01:32:31.2978578Z async_compile.wait(globals())
2022-11-23T01:32:31.2978658Z del async_compile
2022-11-23T01:32:31.2978663Z 
2022-11-23T01:32:31.2978740Z def call(args):
2022-11-23T01:32:31.2978946Z     arg0_1, = args
2022-11-23T01:32:31.2979025Z     args.clear()
2022-11-23T01:32:31.2979232Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2979325Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.2979456Z     triton_fused_ones_like0.run(buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2979653Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2979802Z     triton_fused_ones_like_full_like1.run(buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.2979886Z     return (buf0, buf1, )
2022-11-23T01:32:31.2979891Z 
2022-11-23T01:32:31.2979896Z 
2022-11-23T01:32:31.2979979Z if __name__ == "__main__":
2022-11-23T01:32:31.2980103Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.2980234Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.2980438Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.2980545Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.2980550Z 
2022-11-23T01:32:31.2980624Z ok (0.195s)
2022-11-23T01:32:31.2980929Z   test_fill2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.2981247Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.2981472Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.2981730Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.2982016Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.2982341Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2982695Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2983013Z [2022-11-23 01:29:39,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.2983393Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500> 
2022-11-23T01:32:31.2983498Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2983607Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:31.2983711Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.2983809Z                6 CALL_METHOD              1
2022-11-23T01:32:31.2983912Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.2983917Z 
2022-11-23T01:32:31.2984017Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2984118Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:31.2984208Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:31.2984311Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:31.2984409Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.2984512Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.2984614Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T01:32:31.2984712Z               24 LOAD_CONST               1 (3.0)
2022-11-23T01:32:31.2984857Z               26 CALL_METHOD              1
2022-11-23T01:32:31.2984947Z               28 CALL_METHOD              2
2022-11-23T01:32:31.2985070Z               30 BUILD_TUPLE              2
2022-11-23T01:32:31.2985154Z               32 RETURN_VALUE
2022-11-23T01:32:31.2985221Z  
2022-11-23T01:32:31.2985226Z 
2022-11-23T01:32:31.2985552Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501
2022-11-23T01:32:31.2985779Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.2986157Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2986491Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2986868Z [2022-11-23 01:29:39,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.2987111Z [2022-11-23 01:29:39,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.2987424Z [2022-11-23 01:29:39,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502
2022-11-23T01:32:31.2987642Z [2022-11-23 01:29:39,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:31.2987890Z [2022-11-23 01:29:39,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.2988219Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.2988508Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:31.2988810Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T01:32:31.2989143Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T01:32:31.2989624Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.2990062Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.2990657Z [2022-11-23 01:29:39,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.2991024Z [2022-11-23 01:29:39,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2991290Z [2022-11-23 01:29:39,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.2991545Z [2022-11-23 01:29:39,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2991930Z [2022-11-23 01:29:39,126] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500>
2022-11-23T01:32:31.2992218Z [2022-11-23 01:29:39,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.2992503Z [2022-11-23 01:29:39,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.2992764Z [2022-11-23 01:29:39,127] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.2993020Z [2022-11-23 01:29:39,130] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.2993216Z [2022-11-23 01:29:39,130] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.2993358Z  __compiled_fn_486 <eval_with_key>.3012 opcode, name, target, args, kwargs
2022-11-23T01:32:31.2993447Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.2993695Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.2993927Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.0,), {}
2022-11-23T01:32:31.2994075Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T01:32:31.2994203Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T01:32:31.2994209Z 
2022-11-23T01:32:31.2994537Z [2022-11-23 01:29:39,130] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2994639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.2994738Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2994833Z               4 BUILD_MAP                0
2022-11-23T01:32:31.2994925Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.2995017Z               8 DICT_MERGE               1
2022-11-23T01:32:31.2995110Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.2995194Z              12 RETURN_VALUE
2022-11-23T01:32:31.2995199Z 
2022-11-23T01:32:31.2995268Z  
2022-11-23T01:32:31.2995594Z [2022-11-23 01:29:39,130] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.2995714Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_486)
2022-11-23T01:32:31.2995804Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.2995900Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2995982Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.2996076Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.2996188Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.2996298Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2996394Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.2996475Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.2996576Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.2996675Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.2996759Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.2996856Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.2996941Z              26 RETURN_VALUE
2022-11-23T01:32:31.2996947Z 
2022-11-23T01:32:31.2997013Z  
2022-11-23T01:32:31.2997204Z [2022-11-23 01:29:39,131] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.2997272Z  - 
2022-11-23T01:32:31.2997398Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.2997468Z             {
2022-11-23T01:32:31.2997616Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.2997810Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3004640Z                 'obj_weakref': None
2022-11-23T01:32:31.3004909Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3004974Z             }
2022-11-23T01:32:31.3005047Z             
2022-11-23T01:32:31.3005124Z  - 
2022-11-23T01:32:31.3005260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3005389Z             {
2022-11-23T01:32:31.3005584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3005698Z                 'code': None,
2022-11-23T01:32:31.3005910Z                 'obj_weakref': <weakref at 0x7f1fd9ba71f0; to 'Tensor' at 0x7f2151f015d0>
2022-11-23T01:32:31.3006162Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3006233Z             }
2022-11-23T01:32:31.3006307Z             
2022-11-23T01:32:31.3006384Z  - 
2022-11-23T01:32:31.3006520Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3006591Z             {
2022-11-23T01:32:31.3006724Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3006899Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3007026Z                 'obj_weakref': None
2022-11-23T01:32:31.3007258Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3007329Z             }
2022-11-23T01:32:31.3007402Z             
2022-11-23T01:32:31.3007479Z  - 
2022-11-23T01:32:31.3007597Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3007666Z             {
2022-11-23T01:32:31.3007807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3008026Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3008149Z                 'obj_weakref': None
2022-11-23T01:32:31.3008372Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3008442Z             }
2022-11-23T01:32:31.3008504Z             
2022-11-23T01:32:31.3008580Z  - 
2022-11-23T01:32:31.3008717Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3008788Z             {
2022-11-23T01:32:31.3008914Z                 'guard_types': None,
2022-11-23T01:32:31.3009027Z                 'code': None,
2022-11-23T01:32:31.3009153Z                 'obj_weakref': None
2022-11-23T01:32:31.3009275Z                 'guarded_class': None
2022-11-23T01:32:31.3009345Z             }
2022-11-23T01:32:31.3009414Z             
2022-11-23T01:32:31.3009491Z  - 
2022-11-23T01:32:31.3009628Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3009698Z             {
2022-11-23T01:32:31.3009815Z                 'guard_types': None,
2022-11-23T01:32:31.3009930Z                 'code': None,
2022-11-23T01:32:31.3010053Z                 'obj_weakref': None
2022-11-23T01:32:31.3010180Z                 'guarded_class': None
2022-11-23T01:32:31.3010249Z             }
2022-11-23T01:32:31.3010318Z             
2022-11-23T01:32:31.3010584Z [2022-11-23 01:29:39,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476
2022-11-23T01:32:31.3010827Z [2022-11-23 01:29:39,142] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3011080Z [2022-11-23 01:29:39,143] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3011449Z [2022-11-23 01:29:39,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwy5duayfzprhzuyif2aecd4nh74r6mvf27cm3vshwt2cf22d7w.py
2022-11-23T01:32:31.3011713Z [2022-11-23 01:29:39,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476
2022-11-23T01:32:31.3011951Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3012267Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3012488Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3012743Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3013055Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3013395Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3013733Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3014054Z [2022-11-23 01:29:39,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3014430Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500> 
2022-11-23T01:32:31.3014536Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3014644Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:31.3014745Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3014843Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3014949Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:31.3014955Z 
2022-11-23T01:32:31.3015056Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.3015150Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:31.3015248Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:31.3015350Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:31.3015449Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:31.3015550Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3015653Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T01:32:31.3015751Z               24 LOAD_CONST               1 (3.0)
2022-11-23T01:32:31.3015839Z               26 CALL_METHOD              1
2022-11-23T01:32:31.3015937Z               28 CALL_METHOD              2
2022-11-23T01:32:31.3016037Z               30 BUILD_TUPLE              2
2022-11-23T01:32:31.3016120Z               32 RETURN_VALUE
2022-11-23T01:32:31.3016187Z  
2022-11-23T01:32:31.3016192Z 
2022-11-23T01:32:31.3016510Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501
2022-11-23T01:32:31.3016733Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3017102Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3017429Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3017779Z [2022-11-23 01:29:39,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3018029Z [2022-11-23 01:29:39,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:31.3018343Z [2022-11-23 01:29:39,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502
2022-11-23T01:32:31.3018565Z [2022-11-23 01:29:39,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:31.3018986Z [2022-11-23 01:29:39,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3019330Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3019671Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:31.3019992Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T01:32:31.3020322Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T01:32:31.3020799Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3021234Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3021705Z [2022-11-23 01:29:39,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.3022054Z [2022-11-23 01:29:39,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3022337Z [2022-11-23 01:29:39,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3022587Z [2022-11-23 01:29:39,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3022966Z [2022-11-23 01:29:39,220] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500>
2022-11-23T01:32:31.3023216Z [2022-11-23 01:29:39,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3023457Z [2022-11-23 01:29:39,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3023716Z [2022-11-23 01:29:39,221] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3023974Z [2022-11-23 01:29:39,224] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3024170Z [2022-11-23 01:29:39,224] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3024316Z  __compiled_fn_487 <eval_with_key>.3018 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3024405Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3024655Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.3024883Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.0,), {}
2022-11-23T01:32:31.3025039Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T01:32:31.3025168Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T01:32:31.3025174Z 
2022-11-23T01:32:31.3025500Z [2022-11-23 01:29:39,224] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3025606Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3025708Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3025796Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3025899Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3025992Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3026089Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3026173Z              12 RETURN_VALUE
2022-11-23T01:32:31.3026178Z 
2022-11-23T01:32:31.3026246Z  
2022-11-23T01:32:31.3026593Z [2022-11-23 01:29:39,225] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3026737Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_487)
2022-11-23T01:32:31.3026831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3026932Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3027016Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3027115Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3027232Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3027348Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3027445Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3027523Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3027636Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3027735Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3027819Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3027918Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.3028006Z              26 RETURN_VALUE
2022-11-23T01:32:31.3028011Z 
2022-11-23T01:32:31.3028078Z  
2022-11-23T01:32:31.3028280Z [2022-11-23 01:29:39,225] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3028359Z  - 
2022-11-23T01:32:31.3028496Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3028566Z             {
2022-11-23T01:32:31.3028730Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3028944Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3029080Z                 'obj_weakref': None
2022-11-23T01:32:31.3029331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3029402Z             }
2022-11-23T01:32:31.3029471Z             
2022-11-23T01:32:31.3029552Z  - 
2022-11-23T01:32:31.3029692Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3029763Z             {
2022-11-23T01:32:31.3029927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3030043Z                 'code': None,
2022-11-23T01:32:31.3030354Z                 'obj_weakref': <weakref at 0x7f2023102430; to 'Tensor' at 0x7f201e3d62a0>
2022-11-23T01:32:31.3030650Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3030724Z             }
2022-11-23T01:32:31.3030797Z             
2022-11-23T01:32:31.3030874Z  - 
2022-11-23T01:32:31.3031012Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3031074Z             {
2022-11-23T01:32:31.3031217Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3031393Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3031518Z                 'obj_weakref': None
2022-11-23T01:32:31.3031750Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3031823Z             }
2022-11-23T01:32:31.3031894Z             
2022-11-23T01:32:31.3031966Z  - 
2022-11-23T01:32:31.3032095Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3032167Z             {
2022-11-23T01:32:31.3032311Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3032532Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3032659Z                 'obj_weakref': None
2022-11-23T01:32:31.3032887Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3032950Z             }
2022-11-23T01:32:31.3033019Z             
2022-11-23T01:32:31.3033098Z  - 
2022-11-23T01:32:31.3033240Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3033310Z             {
2022-11-23T01:32:31.3033437Z                 'guard_types': None,
2022-11-23T01:32:31.3033552Z                 'code': None,
2022-11-23T01:32:31.3033669Z                 'obj_weakref': None
2022-11-23T01:32:31.3033835Z                 'guarded_class': None
2022-11-23T01:32:31.3033925Z             }
2022-11-23T01:32:31.3033995Z             
2022-11-23T01:32:31.3034072Z  - 
2022-11-23T01:32:31.3034211Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3034274Z             {
2022-11-23T01:32:31.3034401Z                 'guard_types': None,
2022-11-23T01:32:31.3034516Z                 'code': None,
2022-11-23T01:32:31.3034641Z                 'obj_weakref': None
2022-11-23T01:32:31.3034768Z                 'guarded_class': None
2022-11-23T01:32:31.3034839Z             }
2022-11-23T01:32:31.3034908Z             
2022-11-23T01:32:31.3035165Z [2022-11-23 01:29:39,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477
2022-11-23T01:32:31.3035415Z [2022-11-23 01:29:39,235] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3035668Z [2022-11-23 01:29:39,236] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3036041Z [2022-11-23 01:29:39,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ty/ctyxy5swybyth6xc5ilzy6jposivucfb2ovq6q4mf7spi44xy5b5.py
2022-11-23T01:32:31.3036315Z [2022-11-23 01:29:39,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477
2022-11-23T01:32:31.3036321Z 
2022-11-23T01:32:31.3036426Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3036502Z import torch
2022-11-23T01:32:31.3036578Z import random
2022-11-23T01:32:31.3036702Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3036823Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3036828Z 
2022-11-23T01:32:31.3036915Z aten = torch.ops.aten
2022-11-23T01:32:31.3037061Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3037163Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3037168Z 
2022-11-23T01:32:31.3037245Z import triton
2022-11-23T01:32:31.3037342Z import triton.language as tl
2022-11-23T01:32:31.3037472Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3037612Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3037625Z 
2022-11-23T01:32:31.3037629Z 
2022-11-23T01:32:31.3037789Z triton_fused_ones_like0 = async_compile.triton('''
2022-11-23T01:32:31.3037866Z import triton
2022-11-23T01:32:31.3037961Z import triton.language as tl
2022-11-23T01:32:31.3038078Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3038184Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3038320Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3038454Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3038460Z 
2022-11-23T01:32:31.3038812Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3038888Z @triton.jit
2022-11-23T01:32:31.3039015Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3039093Z     xnumel = 256
2022-11-23T01:32:31.3039194Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3039328Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3039414Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3039487Z     x0 = xindex
2022-11-23T01:32:31.3039551Z     tmp0 = 1
2022-11-23T01:32:31.3039690Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3039776Z ''')
2022-11-23T01:32:31.3039782Z 
2022-11-23T01:32:31.3039787Z 
2022-11-23T01:32:31.3039972Z triton_fused_full_like_ones_like1 = async_compile.triton('''
2022-11-23T01:32:31.3040049Z import triton
2022-11-23T01:32:31.3040144Z import triton.language as tl
2022-11-23T01:32:31.3040262Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3040358Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3040534Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3040686Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3040691Z 
2022-11-23T01:32:31.3041052Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3041132Z @triton.jit
2022-11-23T01:32:31.3041257Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3041334Z     xnumel = 256
2022-11-23T01:32:31.3041433Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3041559Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3041644Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3041717Z     x0 = xindex
2022-11-23T01:32:31.3041795Z     tmp0 = 3.0
2022-11-23T01:32:31.3041933Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3042019Z ''')
2022-11-23T01:32:31.3042027Z 
2022-11-23T01:32:31.3042032Z 
2022-11-23T01:32:31.3042129Z async_compile.wait(globals())
2022-11-23T01:32:31.3042201Z del async_compile
2022-11-23T01:32:31.3042213Z 
2022-11-23T01:32:31.3042283Z def call(args):
2022-11-23T01:32:31.3042358Z     arg0_1, = args
2022-11-23T01:32:31.3042436Z     args.clear()
2022-11-23T01:32:31.3042641Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3042735Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3042876Z     triton_fused_ones_like0.run(buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3043076Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3043222Z     triton_fused_full_like_ones_like1.run(buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3043305Z     return (buf0, buf1, )
2022-11-23T01:32:31.3043311Z 
2022-11-23T01:32:31.3043316Z 
2022-11-23T01:32:31.3043398Z if __name__ == "__main__":
2022-11-23T01:32:31.3043520Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3043653Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3043857Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3043972Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3043977Z 
2022-11-23T01:32:31.3043982Z 
2022-11-23T01:32:31.3044083Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3044152Z import torch
2022-11-23T01:32:31.3044229Z import random
2022-11-23T01:32:31.3044352Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3044480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3044485Z 
2022-11-23T01:32:31.3044569Z aten = torch.ops.aten
2022-11-23T01:32:31.3044710Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3044812Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3044817Z 
2022-11-23T01:32:31.3044894Z import triton
2022-11-23T01:32:31.3044983Z import triton.language as tl
2022-11-23T01:32:31.3045112Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3045259Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3045264Z 
2022-11-23T01:32:31.3045269Z 
2022-11-23T01:32:31.3045434Z triton_fused_ones_like0 = async_compile.triton('''
2022-11-23T01:32:31.3045511Z import triton
2022-11-23T01:32:31.3045604Z import triton.language as tl
2022-11-23T01:32:31.3045721Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3045819Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3045955Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3046083Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3046088Z 
2022-11-23T01:32:31.3046449Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3046555Z @triton.jit
2022-11-23T01:32:31.3046710Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3046787Z     xnumel = 256
2022-11-23T01:32:31.3046889Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3047015Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3047100Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3047174Z     x0 = xindex
2022-11-23T01:32:31.3047246Z     tmp0 = 1
2022-11-23T01:32:31.3047385Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3047480Z ''')
2022-11-23T01:32:31.3047485Z 
2022-11-23T01:32:31.3047490Z 
2022-11-23T01:32:31.3047675Z triton_fused_ones_like_full_like1 = async_compile.triton('''
2022-11-23T01:32:31.3047744Z import triton
2022-11-23T01:32:31.3047839Z import triton.language as tl
2022-11-23T01:32:31.3047957Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3048062Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3048201Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3048334Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3048340Z 
2022-11-23T01:32:31.3048700Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3048777Z @triton.jit
2022-11-23T01:32:31.3048893Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3048970Z     xnumel = 256
2022-11-23T01:32:31.3049073Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3049207Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3049293Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3049366Z     x0 = xindex
2022-11-23T01:32:31.3049440Z     tmp0 = 3.0
2022-11-23T01:32:31.3049571Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3049658Z ''')
2022-11-23T01:32:31.3049666Z 
2022-11-23T01:32:31.3049670Z 
2022-11-23T01:32:31.3049771Z async_compile.wait(globals())
2022-11-23T01:32:31.3049850Z del async_compile
2022-11-23T01:32:31.3049855Z 
2022-11-23T01:32:31.3049933Z def call(args):
2022-11-23T01:32:31.3050013Z     arg0_1, = args
2022-11-23T01:32:31.3050090Z     args.clear()
2022-11-23T01:32:31.3050292Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3050378Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3050517Z     triton_fused_ones_like0.run(buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3050715Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3050867Z     triton_fused_ones_like_full_like1.run(buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3050950Z     return (buf0, buf1, )
2022-11-23T01:32:31.3050955Z 
2022-11-23T01:32:31.3050960Z 
2022-11-23T01:32:31.3051042Z if __name__ == "__main__":
2022-11-23T01:32:31.3051166Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3051297Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3051493Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3051608Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3051613Z 
2022-11-23T01:32:31.3051686Z ok (0.184s)
2022-11-23T01:32:31.3051993Z   test_flip_cuda (__main__.CudaTests) ... [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3052316Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3052562Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3052843Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3053157Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3053503Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3053840Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3054165Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3054537Z [2022-11-23 01:29:39,300] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647> 
2022-11-23T01:32:31.3054644Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3054749Z                2 LOAD_METHOD              1 (flip)
2022-11-23T01:32:31.3054850Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3055002Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T01:32:31.3055098Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3055193Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3055294Z               12 LOAD_METHOD              1 (flip)
2022-11-23T01:32:31.3055392Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3055500Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T01:32:31.3055595Z               18 CALL_METHOD              2
2022-11-23T01:32:31.3055693Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3055779Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.3055875Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.3055951Z               26 RETURN_VALUE
2022-11-23T01:32:31.3056019Z  
2022-11-23T01:32:31.3056024Z 
2022-11-23T01:32:31.3056347Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648
2022-11-23T01:32:31.3056577Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3056942Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3057264Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3057613Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3057999Z [2022-11-23 01:29:39,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3058251Z [2022-11-23 01:29:39,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3058633Z [2022-11-23 01:29:39,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3059098Z [2022-11-23 01:29:39,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3059479Z [2022-11-23 01:29:39,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3059942Z [2022-11-23 01:29:39,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3060239Z [2022-11-23 01:29:39,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3060558Z [2022-11-23 01:29:39,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3060832Z [2022-11-23 01:29:39,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3061081Z [2022-11-23 01:29:39,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3061456Z [2022-11-23 01:29:39,304] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647>
2022-11-23T01:32:31.3061707Z [2022-11-23 01:29:39,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3061947Z [2022-11-23 01:29:39,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3062205Z [2022-11-23 01:29:39,305] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3062452Z [2022-11-23 01:29:39,308] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3062647Z [2022-11-23 01:29:39,308] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3062792Z  __compiled_fn_488 <eval_with_key>.3024 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3062889Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3063126Z call_function, flip, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (-1,)), {}
2022-11-23T01:32:31.3063365Z call_function, flip_1, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (0, 2)), {}
2022-11-23T01:32:31.3063549Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T01:32:31.3063664Z output, output, output, ((flip, sub),), {}
2022-11-23T01:32:31.3063670Z 
2022-11-23T01:32:31.3063998Z [2022-11-23 01:29:39,309] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3064094Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3064194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3064291Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3064393Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3064487Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3064589Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3064673Z              12 RETURN_VALUE
2022-11-23T01:32:31.3064678Z 
2022-11-23T01:32:31.3064738Z  
2022-11-23T01:32:31.3065060Z [2022-11-23 01:29:39,309] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3065186Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_488)
2022-11-23T01:32:31.3065284Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3065384Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3065468Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3065566Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3065678Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3065783Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3065882Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3065966Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3066078Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3066175Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3066287Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3066385Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.3066482Z              26 RETURN_VALUE
2022-11-23T01:32:31.3066488Z 
2022-11-23T01:32:31.3066554Z  
2022-11-23T01:32:31.3066745Z [2022-11-23 01:29:39,310] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3066824Z  - 
2022-11-23T01:32:31.3066951Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3067022Z             {
2022-11-23T01:32:31.3067170Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3067356Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3067481Z                 'obj_weakref': None
2022-11-23T01:32:31.3067709Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3067780Z             }
2022-11-23T01:32:31.3067850Z             
2022-11-23T01:32:31.3067927Z  - 
2022-11-23T01:32:31.3068057Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3068122Z             {
2022-11-23T01:32:31.3068273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3068388Z                 'code': None,
2022-11-23T01:32:31.3068604Z                 'obj_weakref': <weakref at 0x7f1fead082c0; to 'Tensor' at 0x7f1fd9a45c60>
2022-11-23T01:32:31.3068855Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3068926Z             }
2022-11-23T01:32:31.3068996Z             
2022-11-23T01:32:31.3069066Z  - 
2022-11-23T01:32:31.3069203Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3069273Z             {
2022-11-23T01:32:31.3069416Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3069593Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3069719Z                 'obj_weakref': None
2022-11-23T01:32:31.3069953Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3070016Z             }
2022-11-23T01:32:31.3070090Z             
2022-11-23T01:32:31.3070167Z  - 
2022-11-23T01:32:31.3070366Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3070450Z             {
2022-11-23T01:32:31.3070614Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3070859Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3070977Z                 'obj_weakref': None
2022-11-23T01:32:31.3071205Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3071275Z             }
2022-11-23T01:32:31.3071345Z             
2022-11-23T01:32:31.3071423Z  - 
2022-11-23T01:32:31.3071563Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3071637Z             {
2022-11-23T01:32:31.3071758Z                 'guard_types': None,
2022-11-23T01:32:31.3071872Z                 'code': None,
2022-11-23T01:32:31.3071999Z                 'obj_weakref': None
2022-11-23T01:32:31.3072128Z                 'guarded_class': None
2022-11-23T01:32:31.3072206Z             }
2022-11-23T01:32:31.3072276Z             
2022-11-23T01:32:31.3072540Z [2022-11-23 01:29:39,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478
2022-11-23T01:32:31.3072785Z [2022-11-23 01:29:39,332] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3073033Z [2022-11-23 01:29:39,336] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3073404Z [2022-11-23 01:29:39,417] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/af/cafmkvf3yn3nyooq4fxzh4qn4ligcat6bnekl7tx3lchvd4oxdgz.py
2022-11-23T01:32:31.3073677Z [2022-11-23 01:29:39,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478
2022-11-23T01:32:31.3073955Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3074280Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3074529Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3074790Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3075074Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3075391Z [2022-11-23 01:29:39,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3075742Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3076071Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3076451Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647> 
2022-11-23T01:32:31.3076560Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3076665Z                2 LOAD_METHOD              1 (flip)
2022-11-23T01:32:31.3076767Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3076916Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T01:32:31.3077016Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3077111Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3077215Z               12 LOAD_METHOD              1 (flip)
2022-11-23T01:32:31.3077312Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3077416Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T01:32:31.3077514Z               18 CALL_METHOD              2
2022-11-23T01:32:31.3077614Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3077700Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.3077789Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.3077871Z               26 RETURN_VALUE
2022-11-23T01:32:31.3077939Z  
2022-11-23T01:32:31.3077945Z 
2022-11-23T01:32:31.3078269Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648
2022-11-23T01:32:31.3078497Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3078868Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3079189Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3079545Z [2022-11-23 01:29:39,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3079929Z [2022-11-23 01:29:39,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3080178Z [2022-11-23 01:29:39,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3080556Z [2022-11-23 01:29:39,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3080928Z [2022-11-23 01:29:39,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3081323Z [2022-11-23 01:29:39,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3081735Z [2022-11-23 01:29:39,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3082012Z [2022-11-23 01:29:39,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3082336Z [2022-11-23 01:29:39,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3082612Z [2022-11-23 01:29:39,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3082866Z [2022-11-23 01:29:39,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3083247Z [2022-11-23 01:29:39,424] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647>
2022-11-23T01:32:31.3083502Z [2022-11-23 01:29:39,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3083745Z [2022-11-23 01:29:39,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3084011Z [2022-11-23 01:29:39,426] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3084267Z [2022-11-23 01:29:39,429] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3084465Z [2022-11-23 01:29:39,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3084612Z  __compiled_fn_489 <eval_with_key>.3030 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3084708Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3084947Z call_function, flip, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (-1,)), {}
2022-11-23T01:32:31.3085191Z call_function, flip_1, <built-in method flip of type object at 0x7f209c394c60>, (ex_0_, (0, 2)), {}
2022-11-23T01:32:31.3085374Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T01:32:31.3085484Z output, output, output, ((flip, sub),), {}
2022-11-23T01:32:31.3085490Z 
2022-11-23T01:32:31.3085823Z [2022-11-23 01:29:39,429] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3085926Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3086028Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3086127Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3086232Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3086327Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3086422Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3086504Z              12 RETURN_VALUE
2022-11-23T01:32:31.3086510Z 
2022-11-23T01:32:31.3086570Z  
2022-11-23T01:32:31.3086891Z [2022-11-23 01:29:39,429] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3087014Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_489)
2022-11-23T01:32:31.3087115Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3087214Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3087299Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3087393Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3087556Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3087687Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3087785Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3087869Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3087982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3088080Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3088162Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3088250Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.3088334Z              26 RETURN_VALUE
2022-11-23T01:32:31.3088339Z 
2022-11-23T01:32:31.3088408Z  
2022-11-23T01:32:31.3088598Z [2022-11-23 01:29:39,430] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3088676Z  - 
2022-11-23T01:32:31.3088801Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3088872Z             {
2022-11-23T01:32:31.3089011Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3089206Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3089334Z                 'obj_weakref': None
2022-11-23T01:32:31.3089562Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3089634Z             }
2022-11-23T01:32:31.3089705Z             
2022-11-23T01:32:31.3089781Z  - 
2022-11-23T01:32:31.3089903Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3089972Z             {
2022-11-23T01:32:31.3090120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3090233Z                 'code': None,
2022-11-23T01:32:31.3090447Z                 'obj_weakref': <weakref at 0x7f1fe03c08b0; to 'Tensor' at 0x7f20606ba840>
2022-11-23T01:32:31.3090697Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3090768Z             }
2022-11-23T01:32:31.3090836Z             
2022-11-23T01:32:31.3090908Z  - 
2022-11-23T01:32:31.3091043Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3091115Z             {
2022-11-23T01:32:31.3091255Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3091432Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3091556Z                 'obj_weakref': None
2022-11-23T01:32:31.3091794Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3091856Z             }
2022-11-23T01:32:31.3091926Z             
2022-11-23T01:32:31.3092002Z  - 
2022-11-23T01:32:31.3092134Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3092203Z             {
2022-11-23T01:32:31.3092344Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3092560Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3092689Z                 'obj_weakref': None
2022-11-23T01:32:31.3092916Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3092987Z             }
2022-11-23T01:32:31.3093056Z             
2022-11-23T01:32:31.3093133Z  - 
2022-11-23T01:32:31.3093272Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3093334Z             {
2022-11-23T01:32:31.3093460Z                 'guard_types': None,
2022-11-23T01:32:31.3093572Z                 'code': None,
2022-11-23T01:32:31.3093694Z                 'obj_weakref': None
2022-11-23T01:32:31.3093820Z                 'guarded_class': None
2022-11-23T01:32:31.3093889Z             }
2022-11-23T01:32:31.3093958Z             
2022-11-23T01:32:31.3094211Z [2022-11-23 01:29:39,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479
2022-11-23T01:32:31.3094462Z [2022-11-23 01:29:39,444] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3094745Z [2022-11-23 01:29:39,446] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3095140Z [2022-11-23 01:29:39,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/25/c25rgvox5vnvpg4af3lgodcz55bwbydpymazo5hhpcoyh5qk2jxq.py
2022-11-23T01:32:31.3095410Z [2022-11-23 01:29:39,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479
2022-11-23T01:32:31.3095416Z 
2022-11-23T01:32:31.3095518Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3095597Z import torch
2022-11-23T01:32:31.3095672Z import random
2022-11-23T01:32:31.3095796Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3095917Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3095922Z 
2022-11-23T01:32:31.3096006Z aten = torch.ops.aten
2022-11-23T01:32:31.3096148Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3096248Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3096253Z 
2022-11-23T01:32:31.3096329Z import triton
2022-11-23T01:32:31.3096425Z import triton.language as tl
2022-11-23T01:32:31.3096558Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3096696Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3096709Z 
2022-11-23T01:32:31.3096713Z 
2022-11-23T01:32:31.3096862Z triton_fused_rev0 = async_compile.triton('''
2022-11-23T01:32:31.3096938Z import triton
2022-11-23T01:32:31.3097032Z import triton.language as tl
2022-11-23T01:32:31.3097148Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3097253Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3097390Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3097521Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3097526Z 
2022-11-23T01:32:31.3097892Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3097967Z @triton.jit
2022-11-23T01:32:31.3098106Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3098185Z     xnumel = 72
2022-11-23T01:32:31.3098286Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3098419Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3098504Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3098580Z     x0 = xindex % 6
2022-11-23T01:32:31.3098653Z     x1 = (xindex // 6)
2022-11-23T01:32:31.3098726Z     x2 = xindex
2022-11-23T01:32:31.3099018Z     tmp0 = tl.load(in_ptr0 + (5 + ((-1)*x0) + (6*x1)), xmask)
2022-11-23T01:32:31.3099159Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3099248Z ''')
2022-11-23T01:32:31.3099254Z 
2022-11-23T01:32:31.3099258Z 
2022-11-23T01:32:31.3099424Z triton_fused_sub_rev_11 = async_compile.triton('''
2022-11-23T01:32:31.3099501Z import triton
2022-11-23T01:32:31.3099592Z import triton.language as tl
2022-11-23T01:32:31.3099709Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3099816Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3099954Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3100083Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3100088Z 
2022-11-23T01:32:31.3100516Z @pointwise(size_hints=[16, 8], tile_hint=TileHint.SQUARE,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3100591Z @triton.jit
2022-11-23T01:32:31.3100766Z def kernel(in_ptr0, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:31.3100834Z     xnumel = 12
2022-11-23T01:32:31.3100908Z     ynumel = 6
2022-11-23T01:32:31.3101007Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3101193Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.3101304Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3101402Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:31.3101537Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:31.3101614Z     ymask = yindex < ynumel
2022-11-23T01:32:31.3101692Z     x0 = xindex % 6
2022-11-23T01:32:31.3101775Z     x1 = (xindex // 6)
2022-11-23T01:32:31.3101847Z     y2 = yindex
2022-11-23T01:32:31.3101919Z     x3 = xindex
2022-11-23T01:32:31.3102113Z     tmp0 = tl.load(in_ptr0 + (30 + x0 + ((-6)*y2) + (36*x1)), xmask & ymask)
2022-11-23T01:32:31.3102187Z     tmp1 = 2
2022-11-23T01:32:31.3102291Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.3102454Z     tl.store(out_ptr0 + (y2 + (6*x3) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:31.3102541Z ''')
2022-11-23T01:32:31.3102546Z 
2022-11-23T01:32:31.3102551Z 
2022-11-23T01:32:31.3102647Z async_compile.wait(globals())
2022-11-23T01:32:31.3102725Z del async_compile
2022-11-23T01:32:31.3102733Z 
2022-11-23T01:32:31.3102812Z def call(args):
2022-11-23T01:32:31.3102887Z     arg0_1, = args
2022-11-23T01:32:31.3102965Z     args.clear()
2022-11-23T01:32:31.3103174Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3103269Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3103407Z     triton_fused_rev0.run(arg0_1, buf0, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:31.3103620Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3103767Z     triton_fused_sub_rev_11.run(arg0_1, buf1, 12, 6, grid=grid(12, 6), stream=stream0)
2022-11-23T01:32:31.3103840Z     del arg0_1
2022-11-23T01:32:31.3103924Z     return (buf0, buf1, )
2022-11-23T01:32:31.3103929Z 
2022-11-23T01:32:31.3103934Z 
2022-11-23T01:32:31.3104017Z if __name__ == "__main__":
2022-11-23T01:32:31.3104130Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3104264Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3104485Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3104600Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3104605Z 
2022-11-23T01:32:31.3104609Z 
2022-11-23T01:32:31.3104709Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3104785Z import torch
2022-11-23T01:32:31.3104863Z import random
2022-11-23T01:32:31.3104978Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3105103Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3105108Z 
2022-11-23T01:32:31.3105192Z aten = torch.ops.aten
2022-11-23T01:32:31.3105335Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3105435Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3105440Z 
2022-11-23T01:32:31.3105516Z import triton
2022-11-23T01:32:31.3105612Z import triton.language as tl
2022-11-23T01:32:31.3105741Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3105880Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3105885Z 
2022-11-23T01:32:31.3105897Z 
2022-11-23T01:32:31.3106046Z triton_fused_rev0 = async_compile.triton('''
2022-11-23T01:32:31.3106123Z import triton
2022-11-23T01:32:31.3106219Z import triton.language as tl
2022-11-23T01:32:31.3106335Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3106440Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3106577Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3106699Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3106713Z 
2022-11-23T01:32:31.3107076Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3107151Z @triton.jit
2022-11-23T01:32:31.3107320Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3107416Z     xnumel = 72
2022-11-23T01:32:31.3107516Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3107651Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3107737Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3107805Z     x0 = xindex % 6
2022-11-23T01:32:31.3107886Z     x1 = (xindex // 6)
2022-11-23T01:32:31.3107960Z     x2 = xindex
2022-11-23T01:32:31.3108156Z     tmp0 = tl.load(in_ptr0 + (5 + ((-1)*x0) + (6*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3108297Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3108384Z ''')
2022-11-23T01:32:31.3108390Z 
2022-11-23T01:32:31.3108394Z 
2022-11-23T01:32:31.3108557Z triton_fused_sub_rev_11 = async_compile.triton('''
2022-11-23T01:32:31.3108634Z import triton
2022-11-23T01:32:31.3108721Z import triton.language as tl
2022-11-23T01:32:31.3108841Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3108951Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3109091Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3109220Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3109225Z 
2022-11-23T01:32:31.3109652Z @pointwise(size_hints=[16, 8], tile_hint=TileHint.SQUARE,filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3109727Z @triton.jit
2022-11-23T01:32:31.3109899Z def kernel(in_ptr0, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:31.3109968Z     xnumel = 12
2022-11-23T01:32:31.3110043Z     ynumel = 6
2022-11-23T01:32:31.3110142Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3110361Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.3110450Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3110553Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:31.3110689Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:31.3110767Z     ymask = yindex < ynumel
2022-11-23T01:32:31.3110842Z     x0 = xindex % 6
2022-11-23T01:32:31.3110922Z     x1 = (xindex // 6)
2022-11-23T01:32:31.3110995Z     y2 = yindex
2022-11-23T01:32:31.3111067Z     x3 = xindex
2022-11-23T01:32:31.3111280Z     tmp0 = tl.load(in_ptr0 + (30 + x0 + ((-6)*y2) + (36*x1)), xmask & ymask).to(tl.float32)
2022-11-23T01:32:31.3111353Z     tmp1 = 2
2022-11-23T01:32:31.3111457Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.3111619Z     tl.store(out_ptr0 + (y2 + (6*x3) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:31.3111705Z ''')
2022-11-23T01:32:31.3111711Z 
2022-11-23T01:32:31.3111715Z 
2022-11-23T01:32:31.3111812Z async_compile.wait(globals())
2022-11-23T01:32:31.3111890Z del async_compile
2022-11-23T01:32:31.3111895Z 
2022-11-23T01:32:31.3111975Z def call(args):
2022-11-23T01:32:31.3112051Z     arg0_1, = args
2022-11-23T01:32:31.3112124Z     args.clear()
2022-11-23T01:32:31.3112338Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3112435Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3112573Z     triton_fused_rev0.run(arg0_1, buf0, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:31.3112786Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3112931Z     triton_fused_sub_rev_11.run(arg0_1, buf1, 12, 6, grid=grid(12, 6), stream=stream0)
2022-11-23T01:32:31.3113004Z     del arg0_1
2022-11-23T01:32:31.3113087Z     return (buf0, buf1, )
2022-11-23T01:32:31.3113093Z 
2022-11-23T01:32:31.3113097Z 
2022-11-23T01:32:31.3113173Z if __name__ == "__main__":
2022-11-23T01:32:31.3113294Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3113426Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3113682Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3113818Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3113824Z 
2022-11-23T01:32:31.3113897Z ok (0.231s)
2022-11-23T01:32:31.3114205Z   test_fmod_cuda (__main__.CudaTests) ... [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3114524Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3114746Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3114996Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3115278Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3115600Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3115947Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3116268Z [2022-11-23 01:29:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3116643Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665> 
2022-11-23T01:32:31.3116750Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3116853Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3116952Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3117045Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3117145Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3117247Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3117347Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3117446Z               14 LOAD_CONST               1 (3.0)
2022-11-23T01:32:31.3117543Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3117632Z               18 BINARY_MULTIPLY
2022-11-23T01:32:31.3117722Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3117818Z               22 CALL_METHOD              2
2022-11-23T01:32:31.3117917Z               24 LOAD_CONST               2 (2.0)
2022-11-23T01:32:31.3118004Z               26 BINARY_SUBTRACT
2022-11-23T01:32:31.3118103Z               28 BUILD_TUPLE              2
2022-11-23T01:32:31.3118186Z               30 RETURN_VALUE
2022-11-23T01:32:31.3118254Z  
2022-11-23T01:32:31.3118259Z 
2022-11-23T01:32:31.3118585Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666
2022-11-23T01:32:31.3118804Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3119171Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3119493Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3119835Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3120236Z [2022-11-23 01:29:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3120505Z [2022-11-23 01:29:39,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3120892Z [2022-11-23 01:29:39,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3121238Z [2022-11-23 01:29:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3121617Z [2022-11-23 01:29:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.3122067Z [2022-11-23 01:29:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:31.3122459Z [2022-11-23 01:29:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3122860Z [2022-11-23 01:29:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3123128Z [2022-11-23 01:29:39,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3123439Z [2022-11-23 01:29:39,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.3123709Z [2022-11-23 01:29:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3123962Z [2022-11-23 01:29:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3124337Z [2022-11-23 01:29:39,536] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665>
2022-11-23T01:32:31.3124585Z [2022-11-23 01:29:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3124824Z [2022-11-23 01:29:39,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3125085Z [2022-11-23 01:29:39,537] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3125343Z [2022-11-23 01:29:39,541] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3125539Z [2022-11-23 01:29:39,541] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3125678Z  __compiled_fn_490 <eval_with_key>.3036 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3125777Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3125872Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3126110Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3126291Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T01:32:31.3126524Z call_function, fmod_1, <built-in method fmod of type object at 0x7f209c394c60>, (mul, ex_1_), {}
2022-11-23T01:32:31.3126707Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T01:32:31.3126819Z output, output, output, ((fmod, sub),), {}
2022-11-23T01:32:31.3126824Z 
2022-11-23T01:32:31.3127143Z [2022-11-23 01:29:39,542] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3127270Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3127390Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3127486Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3127592Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3127689Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3127785Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3127870Z              12 RETURN_VALUE
2022-11-23T01:32:31.3127875Z 
2022-11-23T01:32:31.3127935Z  
2022-11-23T01:32:31.3128256Z [2022-11-23 01:29:39,542] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3128375Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_490)
2022-11-23T01:32:31.3128474Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3128574Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3128663Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3128765Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3128857Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3128941Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3129038Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3129153Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3129266Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3129363Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3129447Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3129557Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3129648Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3129731Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3129828Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.3129912Z              32 RETURN_VALUE
2022-11-23T01:32:31.3129917Z 
2022-11-23T01:32:31.3129989Z  
2022-11-23T01:32:31.3130179Z [2022-11-23 01:29:39,542] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3130261Z  - 
2022-11-23T01:32:31.3130380Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3130453Z             {
2022-11-23T01:32:31.3130602Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3130794Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3130923Z                 'obj_weakref': None
2022-11-23T01:32:31.3131155Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3131228Z             }
2022-11-23T01:32:31.3131290Z             
2022-11-23T01:32:31.3131368Z  - 
2022-11-23T01:32:31.3131498Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3131569Z             {
2022-11-23T01:32:31.3131717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3131831Z                 'code': None,
2022-11-23T01:32:31.3132046Z                 'obj_weakref': <weakref at 0x7f2022ebbfb0; to 'Tensor' at 0x7f2151f01670>
2022-11-23T01:32:31.3132292Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3132363Z             }
2022-11-23T01:32:31.3132433Z             
2022-11-23T01:32:31.3132510Z  - 
2022-11-23T01:32:31.3132643Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3132713Z             {
2022-11-23T01:32:31.3132860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3132965Z                 'code': None,
2022-11-23T01:32:31.3133177Z                 'obj_weakref': <weakref at 0x7f2023395da0; to 'Tensor' at 0x7f1fd9a6d3f0>
2022-11-23T01:32:31.3133429Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3133500Z             }
2022-11-23T01:32:31.3133569Z             
2022-11-23T01:32:31.3133647Z  - 
2022-11-23T01:32:31.3133813Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3133876Z             {
2022-11-23T01:32:31.3134039Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3134217Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3134342Z                 'obj_weakref': None
2022-11-23T01:32:31.3134574Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3134644Z             }
2022-11-23T01:32:31.3134713Z             
2022-11-23T01:32:31.3134782Z  - 
2022-11-23T01:32:31.3134913Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3134982Z             {
2022-11-23T01:32:31.3135124Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3135343Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3135467Z                 'obj_weakref': None
2022-11-23T01:32:31.3135698Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3135762Z             }
2022-11-23T01:32:31.3135831Z             
2022-11-23T01:32:31.3135907Z  - 
2022-11-23T01:32:31.3136046Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3136116Z             {
2022-11-23T01:32:31.3136241Z                 'guard_types': None,
2022-11-23T01:32:31.3136353Z                 'code': None,
2022-11-23T01:32:31.3136468Z                 'obj_weakref': None
2022-11-23T01:32:31.3136594Z                 'guarded_class': None
2022-11-23T01:32:31.3136663Z             }
2022-11-23T01:32:31.3136733Z             
2022-11-23T01:32:31.3136996Z [2022-11-23 01:29:39,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480
2022-11-23T01:32:31.3137291Z [2022-11-23 01:29:39,558] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3137648Z [2022-11-23 01:29:39,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmogwa3ktbl7m4av6c6bo6ubcp522e2rcys4ay3zewh7kt2nczwu.py
2022-11-23T01:32:31.3137919Z [2022-11-23 01:29:39,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480
2022-11-23T01:32:31.3138153Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3138469Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3138692Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3139071Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3139354Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3139681Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3140026Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3140350Z [2022-11-23 01:29:39,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3140721Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665> 
2022-11-23T01:32:31.3140828Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3140924Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3141023Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3141120Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3141273Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3141408Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3141507Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3141605Z               14 LOAD_CONST               1 (3.0)
2022-11-23T01:32:31.3141695Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3141785Z               18 BINARY_MULTIPLY
2022-11-23T01:32:31.3141882Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3141978Z               22 CALL_METHOD              2
2022-11-23T01:32:31.3142082Z               24 LOAD_CONST               2 (2.0)
2022-11-23T01:32:31.3142168Z               26 BINARY_SUBTRACT
2022-11-23T01:32:31.3142264Z               28 BUILD_TUPLE              2
2022-11-23T01:32:31.3142339Z               30 RETURN_VALUE
2022-11-23T01:32:31.3142406Z  
2022-11-23T01:32:31.3142412Z 
2022-11-23T01:32:31.3142732Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666
2022-11-23T01:32:31.3142957Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3143327Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3143644Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3143986Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3144359Z [2022-11-23 01:29:39,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3144609Z [2022-11-23 01:29:39,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3144998Z [2022-11-23 01:29:39,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3145342Z [2022-11-23 01:29:39,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3145712Z [2022-11-23 01:29:39,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.3146137Z [2022-11-23 01:29:39,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:31.3146502Z [2022-11-23 01:29:39,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3146906Z [2022-11-23 01:29:39,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3147175Z [2022-11-23 01:29:39,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3147491Z [2022-11-23 01:29:39,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.3147761Z [2022-11-23 01:29:39,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3148035Z [2022-11-23 01:29:39,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3148428Z [2022-11-23 01:29:39,820] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665>
2022-11-23T01:32:31.3148675Z [2022-11-23 01:29:39,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3148912Z [2022-11-23 01:29:39,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3149168Z [2022-11-23 01:29:39,821] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3149415Z [2022-11-23 01:29:39,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3149611Z [2022-11-23 01:29:39,826] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3149761Z  __compiled_fn_491 <eval_with_key>.3042 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3149860Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3149959Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3150195Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3150461Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T01:32:31.3150726Z call_function, fmod_1, <built-in method fmod of type object at 0x7f209c394c60>, (mul, ex_1_), {}
2022-11-23T01:32:31.3150898Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T01:32:31.3151007Z output, output, output, ((fmod, sub),), {}
2022-11-23T01:32:31.3151012Z 
2022-11-23T01:32:31.3151335Z [2022-11-23 01:29:39,826] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3151436Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3151536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3151634Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3151738Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3151840Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3151942Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3152036Z              12 RETURN_VALUE
2022-11-23T01:32:31.3152043Z 
2022-11-23T01:32:31.3152120Z  
2022-11-23T01:32:31.3152440Z [2022-11-23 01:29:39,826] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3152557Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_491)
2022-11-23T01:32:31.3152653Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3152750Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3152824Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3152921Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3153016Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3153100Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3153194Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3153311Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3153420Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3153509Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3153596Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3153705Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3153799Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3153881Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3153976Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.3154056Z              32 RETURN_VALUE
2022-11-23T01:32:31.3154062Z 
2022-11-23T01:32:31.3154127Z  
2022-11-23T01:32:31.3154335Z [2022-11-23 01:29:39,827] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3154429Z  - 
2022-11-23T01:32:31.3154553Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3154624Z             {
2022-11-23T01:32:31.3154768Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3154958Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3155081Z                 'obj_weakref': None
2022-11-23T01:32:31.3155298Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3155368Z             }
2022-11-23T01:32:31.3155438Z             
2022-11-23T01:32:31.3155513Z  - 
2022-11-23T01:32:31.3155642Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3155714Z             {
2022-11-23T01:32:31.3155852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3155964Z                 'code': None,
2022-11-23T01:32:31.3156178Z                 'obj_weakref': <weakref at 0x7f2023100040; to 'Tensor' at 0x7f1fe812ea20>
2022-11-23T01:32:31.3156428Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3156499Z             }
2022-11-23T01:32:31.3156567Z             
2022-11-23T01:32:31.3156643Z  - 
2022-11-23T01:32:31.3156769Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3156829Z             {
2022-11-23T01:32:31.3156975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3157085Z                 'code': None,
2022-11-23T01:32:31.3157301Z                 'obj_weakref': <weakref at 0x7f1fd9a593f0; to 'Tensor' at 0x7f1fe812d670>
2022-11-23T01:32:31.3157553Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3157623Z             }
2022-11-23T01:32:31.3157695Z             
2022-11-23T01:32:31.3157761Z  - 
2022-11-23T01:32:31.3157895Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3157964Z             {
2022-11-23T01:32:31.3158107Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3158281Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3158404Z                 'obj_weakref': None
2022-11-23T01:32:31.3158633Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3158694Z             }
2022-11-23T01:32:31.3158763Z             
2022-11-23T01:32:31.3158838Z  - 
2022-11-23T01:32:31.3158968Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3159036Z             {
2022-11-23T01:32:31.3159180Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3159398Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3159512Z                 'obj_weakref': None
2022-11-23T01:32:31.3159734Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3159806Z             }
2022-11-23T01:32:31.3159874Z             
2022-11-23T01:32:31.3159951Z  - 
2022-11-23T01:32:31.3160088Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3160148Z             {
2022-11-23T01:32:31.3160272Z                 'guard_types': None,
2022-11-23T01:32:31.3160382Z                 'code': None,
2022-11-23T01:32:31.3160502Z                 'obj_weakref': None
2022-11-23T01:32:31.3160627Z                 'guarded_class': None
2022-11-23T01:32:31.3160693Z             }
2022-11-23T01:32:31.3160761Z             
2022-11-23T01:32:31.3161018Z [2022-11-23 01:29:39,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481
2022-11-23T01:32:31.3161311Z [2022-11-23 01:29:39,843] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3161678Z [2022-11-23 01:29:39,992] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu7hetwbi6ajkobwllg5dpn6fowxwrj43raw5blen2ozrly52hq3.py
2022-11-23T01:32:31.3161975Z [2022-11-23 01:29:39,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481
2022-11-23T01:32:31.3161999Z 
2022-11-23T01:32:31.3162099Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3162174Z import torch
2022-11-23T01:32:31.3162248Z import random
2022-11-23T01:32:31.3162370Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3162497Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3162503Z 
2022-11-23T01:32:31.3162579Z aten = torch.ops.aten
2022-11-23T01:32:31.3162719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3162816Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3162821Z 
2022-11-23T01:32:31.3162897Z import triton
2022-11-23T01:32:31.3162991Z import triton.language as tl
2022-11-23T01:32:31.3163120Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3163264Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3163272Z 
2022-11-23T01:32:31.3163279Z 
2022-11-23T01:32:31.3163463Z triton_fused_fmod_mul_sub_fmod_10 = async_compile.triton('''
2022-11-23T01:32:31.3163531Z import triton
2022-11-23T01:32:31.3163624Z import triton.language as tl
2022-11-23T01:32:31.3163742Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3163847Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3163983Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3164111Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3164116Z 
2022-11-23T01:32:31.3164520Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3164599Z @triton.jit
2022-11-23T01:32:31.3164746Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3164823Z     xnumel = 72
2022-11-23T01:32:31.3164925Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3165058Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3165141Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3165214Z     x0 = xindex
2022-11-23T01:32:31.3165312Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3165402Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.3165507Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3165580Z     tmp3 = 3.0
2022-11-23T01:32:31.3165660Z     tmp4 = tmp0 * tmp3
2022-11-23T01:32:31.3165765Z     tmp5 = tl.libdevice.fmod(tmp4, tmp1)
2022-11-23T01:32:31.3165837Z     tmp6 = 2.0
2022-11-23T01:32:31.3165949Z     tmp7 = tmp5 - tmp6
2022-11-23T01:32:31.3166081Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3166223Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.3166309Z ''')
2022-11-23T01:32:31.3166316Z 
2022-11-23T01:32:31.3166321Z 
2022-11-23T01:32:31.3166416Z async_compile.wait(globals())
2022-11-23T01:32:31.3166495Z del async_compile
2022-11-23T01:32:31.3166500Z 
2022-11-23T01:32:31.3166574Z def call(args):
2022-11-23T01:32:31.3166654Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3166723Z     args.clear()
2022-11-23T01:32:31.3166936Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3167150Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3167241Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3167408Z     triton_fused_fmod_mul_sub_fmod_10.run(arg0_1, arg1_1, buf0, buf1, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:31.3167481Z     del arg0_1
2022-11-23T01:32:31.3167554Z     del arg1_1
2022-11-23T01:32:31.3167636Z     return (buf0, buf1, )
2022-11-23T01:32:31.3167641Z 
2022-11-23T01:32:31.3167645Z 
2022-11-23T01:32:31.3167747Z if __name__ == "__main__":
2022-11-23T01:32:31.3167870Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3168021Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3168235Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3168449Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3168570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3168575Z 
2022-11-23T01:32:31.3168580Z 
2022-11-23T01:32:31.3168678Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3168753Z import torch
2022-11-23T01:32:31.3168821Z import random
2022-11-23T01:32:31.3168942Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3169068Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3169073Z 
2022-11-23T01:32:31.3169157Z aten = torch.ops.aten
2022-11-23T01:32:31.3169298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3169395Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3169403Z 
2022-11-23T01:32:31.3169480Z import triton
2022-11-23T01:32:31.3169573Z import triton.language as tl
2022-11-23T01:32:31.3169693Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3169837Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3169843Z 
2022-11-23T01:32:31.3169847Z 
2022-11-23T01:32:31.3170028Z triton_fused_sub_fmod_fmod_1_mul0 = async_compile.triton('''
2022-11-23T01:32:31.3170103Z import triton
2022-11-23T01:32:31.3170196Z import triton.language as tl
2022-11-23T01:32:31.3170312Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3170416Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3170544Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3170673Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3170678Z 
2022-11-23T01:32:31.3171083Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3171162Z @triton.jit
2022-11-23T01:32:31.3171316Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3171390Z     xnumel = 72
2022-11-23T01:32:31.3171488Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3171622Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3171698Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3171769Z     x0 = xindex
2022-11-23T01:32:31.3171890Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3172007Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3172112Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3172186Z     tmp3 = 3.0
2022-11-23T01:32:31.3172266Z     tmp4 = tmp0 * tmp3
2022-11-23T01:32:31.3172365Z     tmp5 = tl.libdevice.fmod(tmp4, tmp1)
2022-11-23T01:32:31.3172441Z     tmp6 = 2.0
2022-11-23T01:32:31.3172553Z     tmp7 = tmp5 - tmp6
2022-11-23T01:32:31.3172691Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3172827Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.3172912Z ''')
2022-11-23T01:32:31.3172917Z 
2022-11-23T01:32:31.3172922Z 
2022-11-23T01:32:31.3173017Z async_compile.wait(globals())
2022-11-23T01:32:31.3173098Z del async_compile
2022-11-23T01:32:31.3173103Z 
2022-11-23T01:32:31.3173170Z def call(args):
2022-11-23T01:32:31.3173249Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3173328Z     args.clear()
2022-11-23T01:32:31.3173542Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3173755Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3173882Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3174049Z     triton_fused_sub_fmod_fmod_1_mul0.run(arg0_1, arg1_1, buf0, buf1, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:31.3174138Z     del arg0_1
2022-11-23T01:32:31.3174210Z     del arg1_1
2022-11-23T01:32:31.3174294Z     return (buf0, buf1, )
2022-11-23T01:32:31.3174299Z 
2022-11-23T01:32:31.3174304Z 
2022-11-23T01:32:31.3174385Z if __name__ == "__main__":
2022-11-23T01:32:31.3174504Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3174635Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3174852Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3175064Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3175177Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3175182Z 
2022-11-23T01:32:31.3175255Z ok (0.465s)
2022-11-23T01:32:31.3175572Z   test_fmod_zero_dim_cuda (__main__.CudaTests) ... [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3175893Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3176111Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3176371Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3176649Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3176969Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3177312Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3177643Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3178012Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:31.3178118Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3178220Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3178320Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3178415Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3178510Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3178606Z               10 BUILD_TUPLE              1
2022-11-23T01:32:31.3178688Z               12 RETURN_VALUE
2022-11-23T01:32:31.3178750Z  
2022-11-23T01:32:31.3178755Z 
2022-11-23T01:32:31.3179202Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:31.3179427Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3179789Z [2022-11-23 01:29:39,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3180105Z [2022-11-23 01:29:39,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3180444Z [2022-11-23 01:29:39,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3180862Z [2022-11-23 01:29:39,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3181132Z [2022-11-23 01:29:39,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.3181379Z [2022-11-23 01:29:39,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3181752Z [2022-11-23 01:29:39,999] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:31.3181994Z [2022-11-23 01:29:39,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3182230Z [2022-11-23 01:29:39,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3182488Z [2022-11-23 01:29:40,000] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3182744Z [2022-11-23 01:29:40,002] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3182934Z [2022-11-23 01:29:40,003] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3183079Z  __compiled_fn_492 <eval_with_key>.3048 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3183175Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3183268Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3183507Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3183602Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:31.3183608Z 
2022-11-23T01:32:31.3183936Z [2022-11-23 01:29:40,003] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3184038Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3184139Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3184236Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3184338Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3184429Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3184525Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3184600Z              12 RETURN_VALUE
2022-11-23T01:32:31.3184605Z 
2022-11-23T01:32:31.3184670Z  
2022-11-23T01:32:31.3184990Z [2022-11-23 01:29:40,003] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3185111Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_492)
2022-11-23T01:32:31.3185209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3185307Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3185390Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3185479Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3185577Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3185661Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3185753Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3185865Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3185974Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3186069Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3186143Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3186240Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.3186324Z              26 RETURN_VALUE
2022-11-23T01:32:31.3186330Z 
2022-11-23T01:32:31.3186396Z  
2022-11-23T01:32:31.3186584Z [2022-11-23 01:29:40,004] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3186659Z  - 
2022-11-23T01:32:31.3186783Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3186845Z             {
2022-11-23T01:32:31.3187022Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3187214Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3187396Z                 'obj_weakref': None
2022-11-23T01:32:31.3187624Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3187693Z             }
2022-11-23T01:32:31.3187763Z             
2022-11-23T01:32:31.3187831Z  - 
2022-11-23T01:32:31.3187959Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3188033Z             {
2022-11-23T01:32:31.3188181Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3188293Z                 'code': None,
2022-11-23T01:32:31.3188508Z                 'obj_weakref': <weakref at 0x7f1ff8146d90; to 'Tensor' at 0x7f1fe0369210>
2022-11-23T01:32:31.3188760Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3188830Z             }
2022-11-23T01:32:31.3188893Z             
2022-11-23T01:32:31.3188970Z  - 
2022-11-23T01:32:31.3189100Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3189332Z             {
2022-11-23T01:32:31.3189582Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3189832Z                 'code': None,
2022-11-23T01:32:31.3190165Z                 'obj_weakref': <weakref at 0x7f1fd9ba5940; to 'Tensor' at 0x7f1fe036a5c0>
2022-11-23T01:32:31.3190751Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3191005Z             }
2022-11-23T01:32:31.3191176Z             
2022-11-23T01:32:31.3191357Z  - 
2022-11-23T01:32:31.3191580Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3191780Z             {
2022-11-23T01:32:31.3192021Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3192318Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3192592Z                 'obj_weakref': None
2022-11-23T01:32:31.3192948Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3193188Z             }
2022-11-23T01:32:31.3193367Z             
2022-11-23T01:32:31.3193546Z  - 
2022-11-23T01:32:31.3193763Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3193962Z             {
2022-11-23T01:32:31.3194205Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3194550Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3194850Z                 'obj_weakref': None
2022-11-23T01:32:31.3195198Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3195447Z             }
2022-11-23T01:32:31.3195609Z             
2022-11-23T01:32:31.3195788Z  - 
2022-11-23T01:32:31.3196019Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3196215Z             {
2022-11-23T01:32:31.3196444Z                 'guard_types': None,
2022-11-23T01:32:31.3196703Z                 'code': None,
2022-11-23T01:32:31.3196937Z                 'obj_weakref': None
2022-11-23T01:32:31.3197187Z                 'guarded_class': None
2022-11-23T01:32:31.3197383Z             }
2022-11-23T01:32:31.3197548Z             
2022-11-23T01:32:31.3197916Z [2022-11-23 01:29:40,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482
2022-11-23T01:32:31.3198375Z [2022-11-23 01:29:40,012] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3198936Z [2022-11-23 01:29:40,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2cj6iggyjn3im4qxe5t6blffgviig4vwkxubsquyuvnz5cbhw2.py
2022-11-23T01:32:31.3199478Z [2022-11-23 01:29:40,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482
2022-11-23T01:32:31.3199969Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3200474Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3200961Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3201385Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3201869Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3202403Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3202989Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3203563Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3204180Z [2022-11-23 01:29:40,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:31.3204555Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3204793Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3205018Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3205244Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3205471Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3205689Z               10 BUILD_TUPLE              1
2022-11-23T01:32:31.3205899Z               12 RETURN_VALUE
2022-11-23T01:32:31.3206084Z  
2022-11-23T01:32:31.3206181Z 
2022-11-23T01:32:31.3206499Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:31.3206963Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3207508Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3208091Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3208671Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3209294Z [2022-11-23 01:29:40,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3209809Z [2022-11-23 01:29:40,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.3210250Z [2022-11-23 01:29:40,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3210828Z [2022-11-23 01:29:40,250] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:31.3211335Z [2022-11-23 01:29:40,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3211778Z [2022-11-23 01:29:40,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3212230Z [2022-11-23 01:29:40,251] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3212727Z [2022-11-23 01:29:40,254] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3213138Z [2022-11-23 01:29:40,254] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3213445Z  __compiled_fn_493 <eval_with_key>.3054 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3213714Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3213933Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3214304Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3214601Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:31.3214746Z 
2022-11-23T01:32:31.3215085Z [2022-11-23 01:29:40,254] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3215427Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3215661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3215889Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3216111Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3216339Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3216560Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3216760Z              12 RETURN_VALUE
2022-11-23T01:32:31.3216884Z 
2022-11-23T01:32:31.3216951Z  
2022-11-23T01:32:31.3217372Z [2022-11-23 01:29:40,254] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3217735Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_493)
2022-11-23T01:32:31.3217970Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3218200Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3218412Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3218620Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3218966Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3219184Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3219394Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3219636Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3219885Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3220106Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3220320Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3220534Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.3220737Z              26 RETURN_VALUE
2022-11-23T01:32:31.3220859Z 
2022-11-23T01:32:31.3220925Z  
2022-11-23T01:32:31.3221212Z [2022-11-23 01:29:40,255] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3221449Z  - 
2022-11-23T01:32:31.3221663Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3221858Z             {
2022-11-23T01:32:31.3222116Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3222439Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3222723Z                 'obj_weakref': None
2022-11-23T01:32:31.3223078Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3223318Z             }
2022-11-23T01:32:31.3223493Z             
2022-11-23T01:32:31.3223672Z  - 
2022-11-23T01:32:31.3223891Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3224091Z             {
2022-11-23T01:32:31.3224346Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3224589Z                 'code': None,
2022-11-23T01:32:31.3224923Z                 'obj_weakref': <weakref at 0x7f1fd9aab6f0; to 'Tensor' at 0x7f2151f016c0>
2022-11-23T01:32:31.3225353Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3225614Z             }
2022-11-23T01:32:31.3225780Z             
2022-11-23T01:32:31.3225957Z  - 
2022-11-23T01:32:31.3226182Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3226429Z             {
2022-11-23T01:32:31.3226707Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3226959Z                 'code': None,
2022-11-23T01:32:31.3227285Z                 'obj_weakref': <weakref at 0x7f1fd9aa8ae0; to 'Tensor' at 0x7f1ff8158680>
2022-11-23T01:32:31.3227711Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3227968Z             }
2022-11-23T01:32:31.3228134Z             
2022-11-23T01:32:31.3228311Z  - 
2022-11-23T01:32:31.3228542Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3228737Z             {
2022-11-23T01:32:31.3228978Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3229289Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3229554Z                 'obj_weakref': None
2022-11-23T01:32:31.3229919Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3230168Z             }
2022-11-23T01:32:31.3230424Z             
2022-11-23T01:32:31.3230619Z  - 
2022-11-23T01:32:31.3230843Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3231046Z             {
2022-11-23T01:32:31.3231285Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3231643Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3231944Z                 'obj_weakref': None
2022-11-23T01:32:31.3232290Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3232533Z             }
2022-11-23T01:32:31.3232702Z             
2022-11-23T01:32:31.3232871Z  - 
2022-11-23T01:32:31.3233106Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3233309Z             {
2022-11-23T01:32:31.3233530Z                 'guard_types': None,
2022-11-23T01:32:31.3233767Z                 'code': None,
2022-11-23T01:32:31.3234010Z                 'obj_weakref': None
2022-11-23T01:32:31.3234256Z                 'guarded_class': None
2022-11-23T01:32:31.3234453Z             }
2022-11-23T01:32:31.3234623Z             
2022-11-23T01:32:31.3234987Z [2022-11-23 01:29:40,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483
2022-11-23T01:32:31.3235452Z [2022-11-23 01:29:40,263] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3236028Z [2022-11-23 01:29:40,400] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kg/ckgmuj7dnr6qaolqusls3domchc4hltanpjvzrfoau7qsgophdhk.py
2022-11-23T01:32:31.3236584Z [2022-11-23 01:29:40,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483
2022-11-23T01:32:31.3237026Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3237545Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3238014Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3238456Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3238938Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3239477Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3240058Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3240673Z [2022-11-23 01:29:40,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3241297Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:31.3241670Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3241909Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3242148Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3242365Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3242586Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3242809Z               10 BUILD_TUPLE              1
2022-11-23T01:32:31.3243007Z               12 RETURN_VALUE
2022-11-23T01:32:31.3243190Z  
2022-11-23T01:32:31.3243288Z 
2022-11-23T01:32:31.3243608Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:31.3244068Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3244624Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3245214Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3245787Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3246410Z [2022-11-23 01:29:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3246922Z [2022-11-23 01:29:40,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.3247369Z [2022-11-23 01:29:40,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3247954Z [2022-11-23 01:29:40,406] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:31.3248476Z [2022-11-23 01:29:40,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3248908Z [2022-11-23 01:29:40,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3249354Z [2022-11-23 01:29:40,407] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3249812Z [2022-11-23 01:29:40,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3250211Z [2022-11-23 01:29:40,410] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3250514Z  __compiled_fn_494 <eval_with_key>.3060 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3250782Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3251005Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3251365Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3251660Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:31.3251804Z 
2022-11-23T01:32:31.3252143Z [2022-11-23 01:29:40,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3252490Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3252713Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3252939Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3253166Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3253415Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3253660Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3253868Z              12 RETURN_VALUE
2022-11-23T01:32:31.3253992Z 
2022-11-23T01:32:31.3254052Z  
2022-11-23T01:32:31.3254475Z [2022-11-23 01:29:40,410] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3254839Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_494)
2022-11-23T01:32:31.3255073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3255301Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3255515Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3255729Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3255944Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3256153Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3256367Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3256603Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3256854Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3257082Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3257285Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3257495Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.3257706Z              26 RETURN_VALUE
2022-11-23T01:32:31.3257828Z 
2022-11-23T01:32:31.3257887Z  
2022-11-23T01:32:31.3258169Z [2022-11-23 01:29:40,411] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3258405Z  - 
2022-11-23T01:32:31.3258622Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3258942Z             {
2022-11-23T01:32:31.3259199Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3259530Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3259806Z                 'obj_weakref': None
2022-11-23T01:32:31.3260176Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3260425Z             }
2022-11-23T01:32:31.3260590Z             
2022-11-23T01:32:31.3260769Z  - 
2022-11-23T01:32:31.3260998Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3261188Z             {
2022-11-23T01:32:31.3261438Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3261687Z                 'code': None,
2022-11-23T01:32:31.3262016Z                 'obj_weakref': <weakref at 0x7f1fe03c3f10; to 'Tensor' at 0x7f2000fe7380>
2022-11-23T01:32:31.3262448Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3262707Z             }
2022-11-23T01:32:31.3262871Z             
2022-11-23T01:32:31.3263047Z  - 
2022-11-23T01:32:31.3263270Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3263460Z             {
2022-11-23T01:32:31.3263711Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3263961Z                 'code': None,
2022-11-23T01:32:31.3264293Z                 'obj_weakref': <weakref at 0x7f1fe812e110; to 'Tensor' at 0x7f21159c82c0>
2022-11-23T01:32:31.3264706Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3264962Z             }
2022-11-23T01:32:31.3265131Z             
2022-11-23T01:32:31.3265302Z  - 
2022-11-23T01:32:31.3265537Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3265741Z             {
2022-11-23T01:32:31.3265977Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3266289Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3266565Z                 'obj_weakref': None
2022-11-23T01:32:31.3266917Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3267165Z             }
2022-11-23T01:32:31.3267335Z             
2022-11-23T01:32:31.3267559Z  - 
2022-11-23T01:32:31.3267786Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3268018Z             {
2022-11-23T01:32:31.3268257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3268614Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3268915Z                 'obj_weakref': None
2022-11-23T01:32:31.3269265Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3269504Z             }
2022-11-23T01:32:31.3269677Z             
2022-11-23T01:32:31.3269854Z  - 
2022-11-23T01:32:31.3270081Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3270357Z             {
2022-11-23T01:32:31.3270629Z                 'guard_types': None,
2022-11-23T01:32:31.3270861Z                 'code': None,
2022-11-23T01:32:31.3271102Z                 'obj_weakref': None
2022-11-23T01:32:31.3271354Z                 'guarded_class': None
2022-11-23T01:32:31.3271545Z             }
2022-11-23T01:32:31.3271717Z             
2022-11-23T01:32:31.3272094Z [2022-11-23 01:29:40,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484
2022-11-23T01:32:31.3272550Z [2022-11-23 01:29:40,418] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3273123Z [2022-11-23 01:29:40,556] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gr/cgrck7hzovjbav2uolqjrxj4xovuyjdgwlyjguodvp3khlrcmi2o.py
2022-11-23T01:32:31.3273687Z [2022-11-23 01:29:40,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484
2022-11-23T01:32:31.3274139Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3274638Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3275106Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3275545Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3276031Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3276563Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3277157Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3277737Z [2022-11-23 01:29:40,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3278364Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:31.3278730Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3278967Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:31.3279198Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3279415Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3279641Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3279865Z               10 BUILD_TUPLE              1
2022-11-23T01:32:31.3280073Z               12 RETURN_VALUE
2022-11-23T01:32:31.3280251Z  
2022-11-23T01:32:31.3280350Z 
2022-11-23T01:32:31.3280675Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:32:31.3281139Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3281716Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3282335Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3282919Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3283544Z [2022-11-23 01:29:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3284056Z [2022-11-23 01:29:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.3284499Z [2022-11-23 01:29:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3285086Z [2022-11-23 01:29:40,561] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:31.3285605Z [2022-11-23 01:29:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3286041Z [2022-11-23 01:29:40,561] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3286483Z [2022-11-23 01:29:40,562] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3286939Z [2022-11-23 01:29:40,565] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3287333Z [2022-11-23 01:29:40,565] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3287643Z  __compiled_fn_495 <eval_with_key>.3066 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3287911Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3288138Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3288510Z call_function, fmod, <built-in method fmod of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3288795Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:31.3288939Z 
2022-11-23T01:32:31.3289277Z [2022-11-23 01:29:40,565] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3289627Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3289851Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3290074Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3290302Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3290531Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3290747Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3290964Z              12 RETURN_VALUE
2022-11-23T01:32:31.3291089Z 
2022-11-23T01:32:31.3291154Z  
2022-11-23T01:32:31.3291568Z [2022-11-23 01:29:40,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3291930Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_495)
2022-11-23T01:32:31.3292174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3292395Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3292605Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3292826Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3293044Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3293248Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3293461Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3293705Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3293982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3294239Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3294453Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3294657Z              24 BUILD_TUPLE              1
2022-11-23T01:32:31.3294868Z              26 RETURN_VALUE
2022-11-23T01:32:31.3294991Z 
2022-11-23T01:32:31.3295058Z  
2022-11-23T01:32:31.3295336Z [2022-11-23 01:29:40,566] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3295573Z  - 
2022-11-23T01:32:31.3295800Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3295985Z             {
2022-11-23T01:32:31.3296238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3296571Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3296844Z                 'obj_weakref': None
2022-11-23T01:32:31.3297200Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3297449Z             }
2022-11-23T01:32:31.3297622Z             
2022-11-23T01:32:31.3297798Z  - 
2022-11-23T01:32:31.3298025Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3298225Z             {
2022-11-23T01:32:31.3298469Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3298720Z                 'code': None,
2022-11-23T01:32:31.3299181Z                 'obj_weakref': <weakref at 0x7f1fd9a5a520; to 'Tensor' at 0x7f1ff815ac50>
2022-11-23T01:32:31.3299605Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3299866Z             }
2022-11-23T01:32:31.3300037Z             
2022-11-23T01:32:31.3300209Z  - 
2022-11-23T01:32:31.3300433Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3300626Z             {
2022-11-23T01:32:31.3300870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3301121Z                 'code': None,
2022-11-23T01:32:31.3301459Z                 'obj_weakref': <weakref at 0x7f1fd9a5b420; to 'Tensor' at 0x7f21159c80e0>
2022-11-23T01:32:31.3301885Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3302142Z             }
2022-11-23T01:32:31.3302314Z             
2022-11-23T01:32:31.3302493Z  - 
2022-11-23T01:32:31.3302722Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3302925Z             {
2022-11-23T01:32:31.3303170Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3303473Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3303751Z                 'obj_weakref': None
2022-11-23T01:32:31.3304111Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3304349Z             }
2022-11-23T01:32:31.3304521Z             
2022-11-23T01:32:31.3304699Z  - 
2022-11-23T01:32:31.3304915Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3305116Z             {
2022-11-23T01:32:31.3305363Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3305714Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3306019Z                 'obj_weakref': None
2022-11-23T01:32:31.3306371Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3306610Z             }
2022-11-23T01:32:31.3306779Z             
2022-11-23T01:32:31.3306955Z  - 
2022-11-23T01:32:31.3307181Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3307391Z             {
2022-11-23T01:32:31.3307619Z                 'guard_types': None,
2022-11-23T01:32:31.3307852Z                 'code': None,
2022-11-23T01:32:31.3308092Z                 'obj_weakref': None
2022-11-23T01:32:31.3308346Z                 'guarded_class': None
2022-11-23T01:32:31.3308538Z             }
2022-11-23T01:32:31.3308702Z             
2022-11-23T01:32:31.3309125Z [2022-11-23 01:29:40,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485
2022-11-23T01:32:31.3309614Z [2022-11-23 01:29:40,573] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3309820Z 
2022-11-23T01:32:31.3309915Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3310126Z import torch
2022-11-23T01:32:31.3310387Z import random
2022-11-23T01:32:31.3310640Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3310922Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3311088Z 
2022-11-23T01:32:31.3311171Z aten = torch.ops.aten
2022-11-23T01:32:31.3311426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3311693Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3311831Z 
2022-11-23T01:32:31.3311907Z import triton
2022-11-23T01:32:31.3312109Z import triton.language as tl
2022-11-23T01:32:31.3312365Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3312672Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3312853Z 
2022-11-23T01:32:31.3312857Z 
2022-11-23T01:32:31.3313022Z triton_fused_fmod0 = async_compile.triton('''
2022-11-23T01:32:31.3313239Z import triton
2022-11-23T01:32:31.3313440Z import triton.language as tl
2022-11-23T01:32:31.3313686Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3313928Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3314202Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3314495Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3314662Z 
2022-11-23T01:32:31.3315055Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3315389Z @triton.jit
2022-11-23T01:32:31.3315644Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3315893Z     xnumel = 10
2022-11-23T01:32:31.3316096Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3316362Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3316610Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3316796Z     x0 = xindex
2022-11-23T01:32:31.3317003Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3317270Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.3317540Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3317812Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3318062Z ''')
2022-11-23T01:32:31.3318165Z 
2022-11-23T01:32:31.3318169Z 
2022-11-23T01:32:31.3318265Z async_compile.wait(globals())
2022-11-23T01:32:31.3318465Z del async_compile
2022-11-23T01:32:31.3318583Z 
2022-11-23T01:32:31.3318660Z def call(args):
2022-11-23T01:32:31.3318849Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3319038Z     args.clear()
2022-11-23T01:32:31.3319351Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3319609Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3319878Z     triton_fused_fmod0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.3320123Z     del arg0_1
2022-11-23T01:32:31.3320303Z     del arg1_1
2022-11-23T01:32:31.3320479Z     return (buf0, )
2022-11-23T01:32:31.3320598Z 
2022-11-23T01:32:31.3320603Z 
2022-11-23T01:32:31.3320685Z if __name__ == "__main__":
2022-11-23T01:32:31.3320927Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3321209Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3321563Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3321924Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3322209Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3322402Z 
2022-11-23T01:32:31.3322407Z 
2022-11-23T01:32:31.3322520Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3322729Z import torch
2022-11-23T01:32:31.3322913Z import random
2022-11-23T01:32:31.3323145Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3323416Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3323579Z 
2022-11-23T01:32:31.3323662Z aten = torch.ops.aten
2022-11-23T01:32:31.3323923Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3324182Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3324317Z 
2022-11-23T01:32:31.3324393Z import triton
2022-11-23T01:32:31.3324600Z import triton.language as tl
2022-11-23T01:32:31.3324848Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3325149Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3325325Z 
2022-11-23T01:32:31.3325330Z 
2022-11-23T01:32:31.3325493Z triton_fused_fmod0 = async_compile.triton('''
2022-11-23T01:32:31.3325715Z import triton
2022-11-23T01:32:31.3325913Z import triton.language as tl
2022-11-23T01:32:31.3326160Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3326413Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3326681Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3326974Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3327134Z 
2022-11-23T01:32:31.3327521Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3327855Z @triton.jit
2022-11-23T01:32:31.3328109Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3328353Z     xnumel = 10
2022-11-23T01:32:31.3328561Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3328826Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3329074Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3329273Z     x0 = xindex
2022-11-23T01:32:31.3329492Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3329789Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.3330069Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3330338Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3330586Z ''')
2022-11-23T01:32:31.3330687Z 
2022-11-23T01:32:31.3330692Z 
2022-11-23T01:32:31.3330788Z async_compile.wait(globals())
2022-11-23T01:32:31.3330990Z del async_compile
2022-11-23T01:32:31.3331109Z 
2022-11-23T01:32:31.3331187Z def call(args):
2022-11-23T01:32:31.3331379Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3331573Z     args.clear()
2022-11-23T01:32:31.3331878Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3332142Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3332418Z     triton_fused_fmod0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.3332656Z     del arg0_1
2022-11-23T01:32:31.3332835Z     del arg1_1
2022-11-23T01:32:31.3333020Z     return (buf0, )
2022-11-23T01:32:31.3333128Z 
2022-11-23T01:32:31.3333140Z 
2022-11-23T01:32:31.3333215Z if __name__ == "__main__":
2022-11-23T01:32:31.3333456Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3333734Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3334085Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3334445Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3334728Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3334882Z 
2022-11-23T01:32:31.3334887Z 
2022-11-23T01:32:31.3334987Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3335188Z import torch
2022-11-23T01:32:31.3335404Z import random
2022-11-23T01:32:31.3335653Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3335925Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3336089Z 
2022-11-23T01:32:31.3336173Z aten = torch.ops.aten
2022-11-23T01:32:31.3336433Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3336532Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3336537Z 
2022-11-23T01:32:31.3336613Z import triton
2022-11-23T01:32:31.3336701Z import triton.language as tl
2022-11-23T01:32:31.3336830Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3336974Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3336979Z 
2022-11-23T01:32:31.3336984Z 
2022-11-23T01:32:31.3337146Z triton_fused_fmod0 = async_compile.triton('''
2022-11-23T01:32:31.3337222Z import triton
2022-11-23T01:32:31.3337315Z import triton.language as tl
2022-11-23T01:32:31.3337435Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3337535Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3337677Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3337806Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3337812Z 
2022-11-23T01:32:31.3338202Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3338277Z @triton.jit
2022-11-23T01:32:31.3338423Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3338497Z     xnumel = 10
2022-11-23T01:32:31.3338597Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3338723Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3338949Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3339026Z     x0 = xindex
2022-11-23T01:32:31.3339165Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.3339270Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.3339380Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3339517Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3339600Z ''')
2022-11-23T01:32:31.3339612Z 
2022-11-23T01:32:31.3339617Z 
2022-11-23T01:32:31.3339704Z async_compile.wait(globals())
2022-11-23T01:32:31.3339781Z del async_compile
2022-11-23T01:32:31.3339786Z 
2022-11-23T01:32:31.3339863Z def call(args):
2022-11-23T01:32:31.3339946Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3340022Z     args.clear()
2022-11-23T01:32:31.3340219Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3340312Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3340450Z     triton_fused_fmod0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.3340526Z     del arg0_1
2022-11-23T01:32:31.3340602Z     del arg1_1
2022-11-23T01:32:31.3340683Z     return (buf0, )
2022-11-23T01:32:31.3340688Z 
2022-11-23T01:32:31.3340693Z 
2022-11-23T01:32:31.3340774Z if __name__ == "__main__":
2022-11-23T01:32:31.3340895Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3341023Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3341205Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3341401Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3341522Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3341527Z 
2022-11-23T01:32:31.3341896Z [2022-11-23 01:29:40,710] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/cktaa6af6kvo6j3vhxapgtujd6ngwm72g6awajozld7kvivoxvpo.py
2022-11-23T01:32:31.3342164Z [2022-11-23 01:29:40,710] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485
2022-11-23T01:32:31.3342214Z 
2022-11-23T01:32:31.3342318Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3342432Z import torch
2022-11-23T01:32:31.3342509Z import random
2022-11-23T01:32:31.3342632Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3342751Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3342756Z 
2022-11-23T01:32:31.3342841Z aten = torch.ops.aten
2022-11-23T01:32:31.3342982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3343079Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3343085Z 
2022-11-23T01:32:31.3343160Z import triton
2022-11-23T01:32:31.3343254Z import triton.language as tl
2022-11-23T01:32:31.3343383Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3343518Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3343531Z 
2022-11-23T01:32:31.3343536Z 
2022-11-23T01:32:31.3343686Z triton_fused_fmod0 = async_compile.triton('''
2022-11-23T01:32:31.3343765Z import triton
2022-11-23T01:32:31.3343861Z import triton.language as tl
2022-11-23T01:32:31.3343979Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3344084Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3344224Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3344351Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3344356Z 
2022-11-23T01:32:31.3344736Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3344804Z @triton.jit
2022-11-23T01:32:31.3344949Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3345024Z     xnumel = 10
2022-11-23T01:32:31.3345123Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3345258Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3345344Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3345420Z     x0 = xindex
2022-11-23T01:32:31.3345560Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.3345681Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3345786Z     tmp2 = tl.libdevice.fmod(tmp0, tmp1)
2022-11-23T01:32:31.3345923Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3346010Z ''')
2022-11-23T01:32:31.3346015Z 
2022-11-23T01:32:31.3346020Z 
2022-11-23T01:32:31.3346114Z async_compile.wait(globals())
2022-11-23T01:32:31.3346192Z del async_compile
2022-11-23T01:32:31.3346197Z 
2022-11-23T01:32:31.3346274Z def call(args):
2022-11-23T01:32:31.3346348Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3346427Z     args.clear()
2022-11-23T01:32:31.3346622Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3346715Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3346862Z     triton_fused_fmod0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:31.3346943Z     del arg0_1
2022-11-23T01:32:31.3347017Z     del arg1_1
2022-11-23T01:32:31.3347087Z     return (buf0, )
2022-11-23T01:32:31.3347093Z 
2022-11-23T01:32:31.3347097Z 
2022-11-23T01:32:31.3347178Z if __name__ == "__main__":
2022-11-23T01:32:31.3347299Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3347426Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3347619Z     arg0_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3347814Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3347934Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3347940Z 
2022-11-23T01:32:31.3348011Z ok (0.718s)
2022-11-23T01:32:31.3348346Z   test_full_like_cuda (__main__.CudaTests) ... [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3348685Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3348915Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3349175Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3349459Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3349781Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3350131Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3350536Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3350942Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806> 
2022-11-23T01:32:31.3351048Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3351147Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T01:32:31.3358954Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3359072Z                6 LOAD_CONST               1 (7.777)
2022-11-23T01:32:31.3359163Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3359262Z               10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3359350Z               12 BINARY_SUBTRACT
2022-11-23T01:32:31.3359433Z               14 RETURN_VALUE
2022-11-23T01:32:31.3359504Z  
2022-11-23T01:32:31.3359509Z 
2022-11-23T01:32:31.3359866Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807
2022-11-23T01:32:31.3360095Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3360474Z [2022-11-23 01:29:40,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3360799Z [2022-11-23 01:29:40,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3361145Z [2022-11-23 01:29:40,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3361538Z [2022-11-23 01:29:40,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.3361781Z [2022-11-23 01:29:40,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.3362069Z [2022-11-23 01:29:40,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3362318Z [2022-11-23 01:29:40,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3362695Z [2022-11-23 01:29:40,717] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806>
2022-11-23T01:32:31.3362941Z [2022-11-23 01:29:40,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3363239Z [2022-11-23 01:29:40,717] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3363534Z [2022-11-23 01:29:40,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3363783Z [2022-11-23 01:29:40,720] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3363970Z [2022-11-23 01:29:40,720] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3364113Z  __compiled_fn_496 <eval_with_key>.3072 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3364213Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3364462Z call_function, full_like, <built-in method full_like of type object at 0x7f209c394c60>, (ex_0_, 7.777), {}
2022-11-23T01:32:31.3364648Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T01:32:31.3364750Z output, output, output, ((sub,),), {}
2022-11-23T01:32:31.3364756Z 
2022-11-23T01:32:31.3365081Z [2022-11-23 01:29:40,721] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3365187Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3365278Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3365373Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3365473Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3365567Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3365662Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3365745Z              12 RETURN_VALUE
2022-11-23T01:32:31.3365750Z 
2022-11-23T01:32:31.3365817Z  
2022-11-23T01:32:31.3366134Z [2022-11-23 01:29:40,721] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3366245Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_496)
2022-11-23T01:32:31.3366344Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3366443Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3366526Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3366620Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3366716Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.3366798Z              12 RETURN_VALUE
2022-11-23T01:32:31.3366803Z 
2022-11-23T01:32:31.3366862Z  
2022-11-23T01:32:31.3367050Z [2022-11-23 01:29:40,721] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3367129Z  - 
2022-11-23T01:32:31.3367252Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3367322Z             {
2022-11-23T01:32:31.3367467Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3367658Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3367776Z                 'obj_weakref': None
2022-11-23T01:32:31.3368007Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3368077Z             }
2022-11-23T01:32:31.3368148Z             
2022-11-23T01:32:31.3368224Z  - 
2022-11-23T01:32:31.3368356Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3368424Z             {
2022-11-23T01:32:31.3368565Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3368679Z                 'code': None,
2022-11-23T01:32:31.3368891Z                 'obj_weakref': <weakref at 0x7f2022eb8d10; to 'Tensor' at 0x7f206013ade0>
2022-11-23T01:32:31.3369142Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3369211Z             }
2022-11-23T01:32:31.3369280Z             
2022-11-23T01:32:31.3369358Z  - 
2022-11-23T01:32:31.3369487Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3369556Z             {
2022-11-23T01:32:31.3369696Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3369903Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3370046Z                 'obj_weakref': None
2022-11-23T01:32:31.3370279Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3370347Z             }
2022-11-23T01:32:31.3370408Z             
2022-11-23T01:32:31.3370483Z  - 
2022-11-23T01:32:31.3370611Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3370681Z             {
2022-11-23T01:32:31.3370823Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3371042Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3371165Z                 'obj_weakref': None
2022-11-23T01:32:31.3371384Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3371453Z             }
2022-11-23T01:32:31.3371520Z             
2022-11-23T01:32:31.3371595Z  - 
2022-11-23T01:32:31.3371738Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3371809Z             {
2022-11-23T01:32:31.3371936Z                 'guard_types': None,
2022-11-23T01:32:31.3372042Z                 'code': None,
2022-11-23T01:32:31.3372164Z                 'obj_weakref': None
2022-11-23T01:32:31.3372291Z                 'guarded_class': None
2022-11-23T01:32:31.3372360Z             }
2022-11-23T01:32:31.3372428Z             
2022-11-23T01:32:31.3372688Z [2022-11-23 01:29:40,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486
2022-11-23T01:32:31.3372937Z [2022-11-23 01:29:40,728] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3373301Z [2022-11-23 01:29:40,891] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6q/c6qilow6v3jlcllelf3xaiq4lhsurzwe2zamfwgivgkewokbieeg.py
2022-11-23T01:32:31.3373562Z [2022-11-23 01:29:40,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486
2022-11-23T01:32:31.3373805Z [2022-11-23 01:29:40,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3374120Z [2022-11-23 01:29:40,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3374341Z [2022-11-23 01:29:40,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3374597Z [2022-11-23 01:29:40,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3374875Z [2022-11-23 01:29:40,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3375193Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3375535Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3375857Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3376228Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806> 
2022-11-23T01:32:31.3376328Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3376435Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T01:32:31.3376537Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3376638Z                6 LOAD_CONST               1 (7.777)
2022-11-23T01:32:31.3376733Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3376830Z               10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3376916Z               12 BINARY_SUBTRACT
2022-11-23T01:32:31.3377049Z               14 RETURN_VALUE
2022-11-23T01:32:31.3377134Z  
2022-11-23T01:32:31.3377140Z 
2022-11-23T01:32:31.3377454Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807
2022-11-23T01:32:31.3377679Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3378047Z [2022-11-23 01:29:40,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3378369Z [2022-11-23 01:29:40,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3378720Z [2022-11-23 01:29:40,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3379266Z [2022-11-23 01:29:40,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.3379511Z [2022-11-23 01:29:40,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.3379801Z [2022-11-23 01:29:40,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3380052Z [2022-11-23 01:29:40,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3380419Z [2022-11-23 01:29:40,898] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806>
2022-11-23T01:32:31.3380670Z [2022-11-23 01:29:40,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3380907Z [2022-11-23 01:29:40,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3381165Z [2022-11-23 01:29:40,898] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3381414Z [2022-11-23 01:29:40,901] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3381610Z [2022-11-23 01:29:40,901] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3381753Z  __compiled_fn_497 <eval_with_key>.3078 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3381850Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3382103Z call_function, full_like, <built-in method full_like of type object at 0x7f209c394c60>, (ex_0_, 7.777), {}
2022-11-23T01:32:31.3382281Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T01:32:31.3382382Z output, output, output, ((sub,),), {}
2022-11-23T01:32:31.3382387Z 
2022-11-23T01:32:31.3382712Z [2022-11-23 01:29:40,902] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3382816Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3382914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3383008Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3383109Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3383203Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3383292Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3383375Z              12 RETURN_VALUE
2022-11-23T01:32:31.3383380Z 
2022-11-23T01:32:31.3383446Z  
2022-11-23T01:32:31.3383763Z [2022-11-23 01:29:40,902] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3383939Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_497)
2022-11-23T01:32:31.3384041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3384165Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3384240Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3384333Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3384430Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.3384511Z              12 RETURN_VALUE
2022-11-23T01:32:31.3384516Z 
2022-11-23T01:32:31.3384581Z  
2022-11-23T01:32:31.3384770Z [2022-11-23 01:29:40,902] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3384847Z  - 
2022-11-23T01:32:31.3384964Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3385033Z             {
2022-11-23T01:32:31.3385179Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3385368Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3385492Z                 'obj_weakref': None
2022-11-23T01:32:31.3385721Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3385793Z             }
2022-11-23T01:32:31.3385856Z             
2022-11-23T01:32:31.3385931Z  - 
2022-11-23T01:32:31.3386060Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3386129Z             {
2022-11-23T01:32:31.3386276Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3386388Z                 'code': None,
2022-11-23T01:32:31.3386600Z                 'obj_weakref': <weakref at 0x7f20680bf060; to 'Tensor' at 0x7f201e386fc0>
2022-11-23T01:32:31.3386850Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3386913Z             }
2022-11-23T01:32:31.3386984Z             
2022-11-23T01:32:31.3387059Z  - 
2022-11-23T01:32:31.3387200Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3387268Z             {
2022-11-23T01:32:31.3387412Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3387582Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3387708Z                 'obj_weakref': None
2022-11-23T01:32:31.3387939Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3388008Z             }
2022-11-23T01:32:31.3388077Z             
2022-11-23T01:32:31.3388152Z  - 
2022-11-23T01:32:31.3388277Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3388339Z             {
2022-11-23T01:32:31.3388479Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3388698Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3388824Z                 'obj_weakref': None
2022-11-23T01:32:31.3389051Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3389120Z             }
2022-11-23T01:32:31.3389188Z             
2022-11-23T01:32:31.3389256Z  - 
2022-11-23T01:32:31.3389396Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3389468Z             {
2022-11-23T01:32:31.3389594Z                 'guard_types': None,
2022-11-23T01:32:31.3389705Z                 'code': None,
2022-11-23T01:32:31.3389828Z                 'obj_weakref': None
2022-11-23T01:32:31.3389955Z                 'guarded_class': None
2022-11-23T01:32:31.3390017Z             }
2022-11-23T01:32:31.3390084Z             
2022-11-23T01:32:31.3390434Z [2022-11-23 01:29:40,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487
2022-11-23T01:32:31.3390724Z [2022-11-23 01:29:40,910] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3391090Z [2022-11-23 01:29:40,977] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zb/czb6vtwyjqywnp4a7tw7sf6cgpfrvwnmh5bmvvxbjsfzlyhu2m45.py
2022-11-23T01:32:31.3391392Z [2022-11-23 01:29:40,977] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487
2022-11-23T01:32:31.3391417Z 
2022-11-23T01:32:31.3391523Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3391598Z import torch
2022-11-23T01:32:31.3391667Z import random
2022-11-23T01:32:31.3391797Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3391933Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3391938Z 
2022-11-23T01:32:31.3392023Z aten = torch.ops.aten
2022-11-23T01:32:31.3392173Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3392275Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3392280Z 
2022-11-23T01:32:31.3392356Z import triton
2022-11-23T01:32:31.3392453Z import triton.language as tl
2022-11-23T01:32:31.3392583Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3392737Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3392742Z 
2022-11-23T01:32:31.3392747Z 
2022-11-23T01:32:31.3392942Z triton_fused_full_like_sub0 = async_compile.triton('''
2022-11-23T01:32:31.3393021Z import triton
2022-11-23T01:32:31.3393119Z import triton.language as tl
2022-11-23T01:32:31.3393241Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3393350Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3393488Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3393625Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3393630Z 
2022-11-23T01:32:31.3394048Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.3394121Z @triton.jit
2022-11-23T01:32:31.3394247Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3394322Z     xnumel = 8
2022-11-23T01:32:31.3394420Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3394555Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3394633Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3394709Z     x0 = xindex
2022-11-23T01:32:31.3394782Z     tmp0 = 7.777
2022-11-23T01:32:31.3394854Z     tmp1 = 1
2022-11-23T01:32:31.3394965Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.3395104Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3395191Z ''')
2022-11-23T01:32:31.3395196Z 
2022-11-23T01:32:31.3395201Z 
2022-11-23T01:32:31.3395287Z async_compile.wait(globals())
2022-11-23T01:32:31.3395365Z del async_compile
2022-11-23T01:32:31.3395371Z 
2022-11-23T01:32:31.3395446Z def call(args):
2022-11-23T01:32:31.3395521Z     arg0_1, = args
2022-11-23T01:32:31.3395598Z     args.clear()
2022-11-23T01:32:31.3395796Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3395888Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3396030Z     triton_fused_full_like_sub0.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.3396103Z     return (buf0, )
2022-11-23T01:32:31.3396109Z 
2022-11-23T01:32:31.3396116Z 
2022-11-23T01:32:31.3396200Z if __name__ == "__main__":
2022-11-23T01:32:31.3396320Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3396450Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3396645Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3396759Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3396764Z 
2022-11-23T01:32:31.3396768Z 
2022-11-23T01:32:31.3396868Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3396943Z import torch
2022-11-23T01:32:31.3397012Z import random
2022-11-23T01:32:31.3397133Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3397259Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3397264Z 
2022-11-23T01:32:31.3397348Z aten = torch.ops.aten
2022-11-23T01:32:31.3397493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3397618Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3397641Z 
2022-11-23T01:32:31.3397717Z import triton
2022-11-23T01:32:31.3397804Z import triton.language as tl
2022-11-23T01:32:31.3397931Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3398072Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3398077Z 
2022-11-23T01:32:31.3398081Z 
2022-11-23T01:32:31.3398254Z triton_fused_sub_full_like0 = async_compile.triton('''
2022-11-23T01:32:31.3398329Z import triton
2022-11-23T01:32:31.3398422Z import triton.language as tl
2022-11-23T01:32:31.3398536Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3398643Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3398771Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3398900Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3398905Z 
2022-11-23T01:32:31.3399260Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.3399338Z @triton.jit
2022-11-23T01:32:31.3399462Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3399535Z     xnumel = 8
2022-11-23T01:32:31.3399634Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3399766Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3399843Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3399916Z     x0 = xindex
2022-11-23T01:32:31.3399989Z     tmp0 = 7.777
2022-11-23T01:32:31.3400061Z     tmp1 = 1
2022-11-23T01:32:31.3400172Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.3400312Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3400398Z ''')
2022-11-23T01:32:31.3400404Z 
2022-11-23T01:32:31.3400408Z 
2022-11-23T01:32:31.3400496Z async_compile.wait(globals())
2022-11-23T01:32:31.3400577Z del async_compile
2022-11-23T01:32:31.3400583Z 
2022-11-23T01:32:31.3400661Z def call(args):
2022-11-23T01:32:31.3400735Z     arg0_1, = args
2022-11-23T01:32:31.3400811Z     args.clear()
2022-11-23T01:32:31.3401005Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3401100Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3401233Z     triton_fused_sub_full_like0.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.3401312Z     return (buf0, )
2022-11-23T01:32:31.3401317Z 
2022-11-23T01:32:31.3401322Z 
2022-11-23T01:32:31.3401403Z if __name__ == "__main__":
2022-11-23T01:32:31.3401526Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3401654Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3401850Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3401964Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3401969Z 
2022-11-23T01:32:31.3402041Z ok (0.267s)
2022-11-23T01:32:31.3402350Z   test_fuse_tiled_cuda (__main__.CudaTests) ... [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3402668Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3402892Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3403149Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3403428Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3403745Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3404118Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3404456Z [2022-11-23 01:29:40,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3404826Z [2022-11-23 01:29:40,983] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428> 
2022-11-23T01:32:31.3404930Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3405022Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3405104Z                4 BINARY_ADD
2022-11-23T01:32:31.3405203Z                6 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3405297Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3405376Z               10 BINARY_ADD
2022-11-23T01:32:31.3405475Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.3405558Z               14 RETURN_VALUE
2022-11-23T01:32:31.3405620Z  
2022-11-23T01:32:31.3405632Z 
2022-11-23T01:32:31.3405939Z [2022-11-23 01:29:40,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429
2022-11-23T01:32:31.3406151Z [2022-11-23 01:29:40,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.3406394Z [2022-11-23 01:29:40,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.3406667Z [2022-11-23 01:29:40,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3406907Z [2022-11-23 01:29:40,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:31.3407177Z [2022-11-23 01:29:40,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3407490Z [2022-11-23 01:29:40,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3407762Z [2022-11-23 01:29:40,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3408012Z [2022-11-23 01:29:40,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3408384Z [2022-11-23 01:29:40,985] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428>
2022-11-23T01:32:31.3408632Z [2022-11-23 01:29:40,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3408871Z [2022-11-23 01:29:40,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3409131Z [2022-11-23 01:29:40,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3409390Z [2022-11-23 01:29:40,989] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3409585Z [2022-11-23 01:29:40,989] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3409727Z  __compiled_fn_498 <eval_with_key>.3084 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3409822Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3409915Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3409999Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.3410186Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3410366Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.3410475Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:31.3410480Z 
2022-11-23T01:32:31.3410842Z [2022-11-23 01:29:40,989] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3410972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3411071Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3411165Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3411259Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3411351Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3411447Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3411529Z              12 RETURN_VALUE
2022-11-23T01:32:31.3411534Z 
2022-11-23T01:32:31.3411602Z  
2022-11-23T01:32:31.3411922Z [2022-11-23 01:29:40,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3412041Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_498)
2022-11-23T01:32:31.3412131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3412232Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3412315Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3412412Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3412507Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3412588Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3412681Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3412768Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3412849Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.3412941Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.3413054Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3413164Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3413259Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3413340Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3413446Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3413536Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3413619Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.3413715Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.3413797Z              38 RETURN_VALUE
2022-11-23T01:32:31.3413803Z 
2022-11-23T01:32:31.3413868Z  
2022-11-23T01:32:31.3414055Z [2022-11-23 01:29:40,990] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3414131Z  - 
2022-11-23T01:32:31.3414248Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3414320Z             {
2022-11-23T01:32:31.3414470Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3414661Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.3414787Z                 'obj_weakref': None
2022-11-23T01:32:31.3415014Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3415084Z             }
2022-11-23T01:32:31.3415146Z             
2022-11-23T01:32:31.3415221Z  - 
2022-11-23T01:32:31.3415352Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3415425Z             {
2022-11-23T01:32:31.3415572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3415689Z                 'code': None,
2022-11-23T01:32:31.3415900Z                 'obj_weakref': <weakref at 0x7f20230582c0; to 'Tensor' at 0x7f1fe0368770>
2022-11-23T01:32:31.3416144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3416213Z             }
2022-11-23T01:32:31.3416282Z             
2022-11-23T01:32:31.3416357Z  - 
2022-11-23T01:32:31.3416485Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3416555Z             {
2022-11-23T01:32:31.3416703Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3416807Z                 'code': None,
2022-11-23T01:32:31.3417020Z                 'obj_weakref': <weakref at 0x7f20230d51c0; to 'Tensor' at 0x7f20232574c0>
2022-11-23T01:32:31.3417302Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3417390Z             }
2022-11-23T01:32:31.3417460Z             
2022-11-23T01:32:31.3417536Z  - 
2022-11-23T01:32:31.3417665Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.3417726Z             {
2022-11-23T01:32:31.3417874Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3417986Z                 'code': None,
2022-11-23T01:32:31.3418200Z                 'obj_weakref': <weakref at 0x7f1fd9ba6390; to 'Tensor' at 0x7f1fd9a5b6a0>
2022-11-23T01:32:31.3418450Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3418520Z             }
2022-11-23T01:32:31.3418588Z             
2022-11-23T01:32:31.3418657Z  - 
2022-11-23T01:32:31.3418911Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3418982Z             {
2022-11-23T01:32:31.3419126Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3419302Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3419435Z                 'obj_weakref': None
2022-11-23T01:32:31.3419664Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3419726Z             }
2022-11-23T01:32:31.3419795Z             
2022-11-23T01:32:31.3419870Z  - 
2022-11-23T01:32:31.3419999Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3420068Z             {
2022-11-23T01:32:31.3420206Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3420425Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3420539Z                 'obj_weakref': None
2022-11-23T01:32:31.3420761Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3420830Z             }
2022-11-23T01:32:31.3420899Z             
2022-11-23T01:32:31.3421164Z [2022-11-23 01:29:40,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488
2022-11-23T01:32:31.3421416Z [2022-11-23 01:29:41,005] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3421660Z [2022-11-23 01:29:41,009] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3422022Z [2022-11-23 01:29:41,082] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ox/cox4msdx5n7jukadt5uxqmwtoadjjzllibqje5amrybv2dl4reth.py
2022-11-23T01:32:31.3422281Z [2022-11-23 01:29:41,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488
2022-11-23T01:32:31.3422520Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3422837Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3423061Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3423326Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3423605Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3423928Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3424279Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3424603Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3425028Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428> 
2022-11-23T01:32:31.3425147Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3425249Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3425329Z                4 BINARY_ADD
2022-11-23T01:32:31.3425426Z                6 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3425522Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3425600Z               10 BINARY_ADD
2022-11-23T01:32:31.3425696Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.3425771Z               14 RETURN_VALUE
2022-11-23T01:32:31.3425839Z  
2022-11-23T01:32:31.3425845Z 
2022-11-23T01:32:31.3426160Z [2022-11-23 01:29:41,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429
2022-11-23T01:32:31.3426377Z [2022-11-23 01:29:41,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.3426622Z [2022-11-23 01:29:41,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.3426894Z [2022-11-23 01:29:41,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3427133Z [2022-11-23 01:29:41,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:31.3427403Z [2022-11-23 01:29:41,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3427712Z [2022-11-23 01:29:41,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3427982Z [2022-11-23 01:29:41,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3428228Z [2022-11-23 01:29:41,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3428610Z [2022-11-23 01:29:41,089] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428>
2022-11-23T01:32:31.3428861Z [2022-11-23 01:29:41,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3429095Z [2022-11-23 01:29:41,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3429354Z [2022-11-23 01:29:41,090] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3429611Z [2022-11-23 01:29:41,093] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3429806Z [2022-11-23 01:29:41,093] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3429951Z  __compiled_fn_499 <eval_with_key>.3090 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3430047Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3430134Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3430226Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.3430502Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3430685Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.3430793Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:31.3430799Z 
2022-11-23T01:32:31.3431124Z [2022-11-23 01:29:41,094] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3431226Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3431324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3431411Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3431511Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3431639Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3431758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3431844Z              12 RETURN_VALUE
2022-11-23T01:32:31.3431849Z 
2022-11-23T01:32:31.3431915Z  
2022-11-23T01:32:31.3432242Z [2022-11-23 01:29:41,094] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3432351Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_499)
2022-11-23T01:32:31.3432447Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3432544Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3432627Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3432723Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3432817Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3432898Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3432986Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3433080Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3433164Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.3433262Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.3433376Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3433486Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3433585Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3433659Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3433768Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3433865Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3433946Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.3434040Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.3434121Z              38 RETURN_VALUE
2022-11-23T01:32:31.3434127Z 
2022-11-23T01:32:31.3434192Z  
2022-11-23T01:32:31.3434383Z [2022-11-23 01:29:41,094] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3434457Z  - 
2022-11-23T01:32:31.3434582Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3434653Z             {
2022-11-23T01:32:31.3434801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3434995Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.3435120Z                 'obj_weakref': None
2022-11-23T01:32:31.3435345Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3435408Z             }
2022-11-23T01:32:31.3435475Z             
2022-11-23T01:32:31.3435551Z  - 
2022-11-23T01:32:31.3435679Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3435746Z             {
2022-11-23T01:32:31.3435892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3436004Z                 'code': None,
2022-11-23T01:32:31.3436212Z                 'obj_weakref': <weakref at 0x7f1ff81582c0; to 'Tensor' at 0x7f20680bc6d0>
2022-11-23T01:32:31.3436466Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3436539Z             }
2022-11-23T01:32:31.3436609Z             
2022-11-23T01:32:31.3436686Z  - 
2022-11-23T01:32:31.3436813Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3436882Z             {
2022-11-23T01:32:31.3437022Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3437135Z                 'code': None,
2022-11-23T01:32:31.3437344Z                 'obj_weakref': <weakref at 0x7f201e3e49a0; to 'Tensor' at 0x7f2068081ad0>
2022-11-23T01:32:31.3437601Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3437670Z             }
2022-11-23T01:32:31.3437738Z             
2022-11-23T01:32:31.3437813Z  - 
2022-11-23T01:32:31.3437934Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.3438003Z             {
2022-11-23T01:32:31.3438182Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3438314Z                 'code': None,
2022-11-23T01:32:31.3438522Z                 'obj_weakref': <weakref at 0x7f2068177060; to 'Tensor' at 0x7f2072829710>
2022-11-23T01:32:31.3438771Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3438840Z             }
2022-11-23T01:32:31.3438901Z             
2022-11-23T01:32:31.3438977Z  - 
2022-11-23T01:32:31.3439116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3439186Z             {
2022-11-23T01:32:31.3439328Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3439502Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3439624Z                 'obj_weakref': None
2022-11-23T01:32:31.3439846Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3439915Z             }
2022-11-23T01:32:31.3439985Z             
2022-11-23T01:32:31.3440063Z  - 
2022-11-23T01:32:31.3440188Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3440256Z             {
2022-11-23T01:32:31.3440400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3440609Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3440733Z                 'obj_weakref': None
2022-11-23T01:32:31.3440959Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3441029Z             }
2022-11-23T01:32:31.3441096Z             
2022-11-23T01:32:31.3441366Z [2022-11-23 01:29:41,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489
2022-11-23T01:32:31.3441614Z [2022-11-23 01:29:41,107] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3441856Z [2022-11-23 01:29:41,109] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3442228Z [2022-11-23 01:29:41,182] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflc6t4tytjjoeyobuezjxelonnnhdeynnt3ylfoqnucji3ni7jh.py
2022-11-23T01:32:31.3442500Z [2022-11-23 01:29:41,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489
2022-11-23T01:32:31.3442505Z 
2022-11-23T01:32:31.3442607Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3442682Z import torch
2022-11-23T01:32:31.3442757Z import random
2022-11-23T01:32:31.3442880Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3443008Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3443014Z 
2022-11-23T01:32:31.3443097Z aten = torch.ops.aten
2022-11-23T01:32:31.3443232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3443331Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3443336Z 
2022-11-23T01:32:31.3443413Z import triton
2022-11-23T01:32:31.3443511Z import triton.language as tl
2022-11-23T01:32:31.3443643Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3443788Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3443794Z 
2022-11-23T01:32:31.3443798Z 
2022-11-23T01:32:31.3443955Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.3444023Z import triton
2022-11-23T01:32:31.3444118Z import triton.language as tl
2022-11-23T01:32:31.3444234Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3444337Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3444473Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3444602Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3444607Z 
2022-11-23T01:32:31.3445034Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3445129Z @triton.jit
2022-11-23T01:32:31.3445267Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3445344Z     xnumel = 16384
2022-11-23T01:32:31.3445444Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3445577Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3445661Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3445743Z     x1 = (xindex // 128)
2022-11-23T01:32:31.3445823Z     x0 = xindex % 128
2022-11-23T01:32:31.3445887Z     x2 = xindex
2022-11-23T01:32:31.3445987Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.3446087Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.3446168Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3446306Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3446394Z ''')
2022-11-23T01:32:31.3446399Z 
2022-11-23T01:32:31.3446404Z 
2022-11-23T01:32:31.3446562Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:31.3446638Z import triton
2022-11-23T01:32:31.3446725Z import triton.language as tl
2022-11-23T01:32:31.3446841Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3446944Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3447081Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3448663Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3448668Z 
2022-11-23T01:32:31.3449040Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3449115Z @triton.jit
2022-11-23T01:32:31.3449250Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3449320Z     xnumel = 16384
2022-11-23T01:32:31.3449421Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3449559Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3449646Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3449718Z     x0 = xindex
2022-11-23T01:32:31.3449816Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3449888Z     tmp1 = 1
2022-11-23T01:32:31.3449961Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3450099Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3450186Z ''')
2022-11-23T01:32:31.3450191Z 
2022-11-23T01:32:31.3450196Z 
2022-11-23T01:32:31.3450289Z async_compile.wait(globals())
2022-11-23T01:32:31.3450367Z del async_compile
2022-11-23T01:32:31.3450372Z 
2022-11-23T01:32:31.3450448Z def call(args):
2022-11-23T01:32:31.3450537Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.3450607Z     args.clear()
2022-11-23T01:32:31.3450816Z     buf0 = empty_strided((128, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3450908Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3451061Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.3451137Z     del arg0_1
2022-11-23T01:32:31.3451209Z     del arg1_1
2022-11-23T01:32:31.3451415Z     buf1 = empty_strided((128, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3451546Z     triton_fused_add_11.run(arg2_1, buf1, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.3451619Z     del arg2_1
2022-11-23T01:32:31.3451702Z     return (buf0, buf1, )
2022-11-23T01:32:31.3451707Z 
2022-11-23T01:32:31.3451712Z 
2022-11-23T01:32:31.3451793Z if __name__ == "__main__":
2022-11-23T01:32:31.3451914Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3452043Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3452246Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3452446Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3452675Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3452827Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.3452832Z 
2022-11-23T01:32:31.3452836Z 
2022-11-23T01:32:31.3452937Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3453012Z import torch
2022-11-23T01:32:31.3453088Z import random
2022-11-23T01:32:31.3453213Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3453340Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3453345Z 
2022-11-23T01:32:31.3453432Z aten = torch.ops.aten
2022-11-23T01:32:31.3453566Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3453663Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3453668Z 
2022-11-23T01:32:31.3453743Z import triton
2022-11-23T01:32:31.3453836Z import triton.language as tl
2022-11-23T01:32:31.3453964Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3454109Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3454116Z 
2022-11-23T01:32:31.3454121Z 
2022-11-23T01:32:31.3454276Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.3454351Z import triton
2022-11-23T01:32:31.3454437Z import triton.language as tl
2022-11-23T01:32:31.3454552Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3454656Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3454792Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3454919Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3454924Z 
2022-11-23T01:32:31.3455310Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3455384Z @triton.jit
2022-11-23T01:32:31.3455529Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3455599Z     xnumel = 16384
2022-11-23T01:32:31.3455703Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3455836Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3455921Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3456003Z     x1 = (xindex // 128)
2022-11-23T01:32:31.3456080Z     x0 = xindex % 128
2022-11-23T01:32:31.3456152Z     x2 = xindex
2022-11-23T01:32:31.3456266Z     tmp0 = tl.load(in_ptr0 + (x1), xmask).to(tl.float32)
2022-11-23T01:32:31.3456385Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3456466Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3456602Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3456688Z ''')
2022-11-23T01:32:31.3456694Z 
2022-11-23T01:32:31.3456699Z 
2022-11-23T01:32:31.3456854Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:31.3456929Z import triton
2022-11-23T01:32:31.3457025Z import triton.language as tl
2022-11-23T01:32:31.3457134Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3457240Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3457376Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3457502Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3457508Z 
2022-11-23T01:32:31.3457875Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3457950Z @triton.jit
2022-11-23T01:32:31.3458084Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3458153Z     xnumel = 16384
2022-11-23T01:32:31.3458251Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3458382Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3458467Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3458565Z     x0 = xindex
2022-11-23T01:32:31.3458686Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3458909Z     tmp1 = 1
2022-11-23T01:32:31.3458984Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3459121Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.3459211Z ''')
2022-11-23T01:32:31.3459217Z 
2022-11-23T01:32:31.3459221Z 
2022-11-23T01:32:31.3459315Z async_compile.wait(globals())
2022-11-23T01:32:31.3459393Z del async_compile
2022-11-23T01:32:31.3459398Z 
2022-11-23T01:32:31.3459475Z def call(args):
2022-11-23T01:32:31.3459562Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.3459638Z     args.clear()
2022-11-23T01:32:31.3459840Z     buf0 = empty_strided((128, 128), (128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3459931Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3460081Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.3460155Z     del arg0_1
2022-11-23T01:32:31.3460231Z     del arg1_1
2022-11-23T01:32:31.3460438Z     buf1 = empty_strided((128, 128), (128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3460577Z     triton_fused_add_11.run(arg2_1, buf1, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.3460643Z     del arg2_1
2022-11-23T01:32:31.3460726Z     return (buf0, buf1, )
2022-11-23T01:32:31.3460731Z 
2022-11-23T01:32:31.3460736Z 
2022-11-23T01:32:31.3460817Z if __name__ == "__main__":
2022-11-23T01:32:31.3460938Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3461068Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3461269Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3461472Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3461676Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3461804Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.3461821Z 
2022-11-23T01:32:31.3461898Z ok (0.206s)
2022-11-23T01:32:31.3462242Z   test_gather1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:41,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3462558Z [2022-11-23 01:29:41,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3462780Z [2022-11-23 01:29:41,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3463037Z [2022-11-23 01:29:41,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3463317Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3463636Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3463979Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3464301Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3464672Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649> 
2022-11-23T01:32:31.3464778Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3464882Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.3464980Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3465082Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:31.3465228Z                8 BUILD_LIST               0
2022-11-23T01:32:31.3465337Z               10 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:31.3465459Z               12 LIST_EXTEND              1
2022-11-23T01:32:31.3465546Z               14 CALL_METHOD              1
2022-11-23T01:32:31.3465642Z               16 LOAD_CONST               2 (3)
2022-11-23T01:32:31.3465741Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3465836Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.3465915Z               22 BINARY_ADD
2022-11-23T01:32:31.3466010Z               24 CALL_METHOD              3
2022-11-23T01:32:31.3466015Z 
2022-11-23T01:32:31.3466118Z 1652          26 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3466212Z               28 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.3466308Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3466410Z               32 LOAD_METHOD              2 (expand)
2022-11-23T01:32:31.3466506Z               34 BUILD_LIST               0
2022-11-23T01:32:31.3466613Z               36 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:31.3466708Z               38 LIST_EXTEND              1
2022-11-23T01:32:31.3466802Z               40 CALL_METHOD              1
2022-11-23T01:32:31.3466950Z               42 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.3467040Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3467134Z               46 LOAD_CONST               3 (1)
2022-11-23T01:32:31.3467213Z               48 BINARY_ADD
2022-11-23T01:32:31.3467307Z               50 CALL_METHOD              3
2022-11-23T01:32:31.3467312Z 
2022-11-23T01:32:31.3467406Z 1650          52 BUILD_TUPLE              2
2022-11-23T01:32:31.3467488Z               54 RETURN_VALUE
2022-11-23T01:32:31.3467554Z  
2022-11-23T01:32:31.3467560Z 
2022-11-23T01:32:31.3467875Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651
2022-11-23T01:32:31.3468101Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3468477Z [2022-11-23 01:29:41,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3468804Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3469165Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3469552Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.3469975Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3470508Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3470925Z [2022-11-23 01:29:41,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3471267Z [2022-11-23 01:29:41,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3471675Z [2022-11-23 01:29:41,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3472100Z [2022-11-23 01:29:41,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3472544Z [2022-11-23 01:29:41,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3472949Z [2022-11-23 01:29:41,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3473263Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652
2022-11-23T01:32:31.3473509Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3473909Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3474263Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3474649Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3475064Z [2022-11-23 01:29:41,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.3475513Z [2022-11-23 01:29:41,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3475985Z [2022-11-23 01:29:41,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3476423Z [2022-11-23 01:29:41,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3476797Z [2022-11-23 01:29:41,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3477202Z [2022-11-23 01:29:41,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3477632Z [2022-11-23 01:29:41,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3478104Z [2022-11-23 01:29:41,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3478565Z [2022-11-23 01:29:41,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3478919Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650
2022-11-23T01:32:31.3479188Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3479436Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3479809Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649>
2022-11-23T01:32:31.3480065Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3480310Z [2022-11-23 01:29:41,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3480574Z [2022-11-23 01:29:41,197] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3480829Z [2022-11-23 01:29:41,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3481027Z [2022-11-23 01:29:41,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3481169Z  __compiled_fn_500 <eval_with_key>.3096 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3481266Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3481353Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3481470Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:31.3481650Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.3481905Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (expand, 3, add), {}
2022-11-23T01:32:31.3482025Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:31.3482206Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.3482464Z call_function, gather_1, <built-in method gather of type object at 0x7f209c394c60>, (expand_1, -1, add_1), {}
2022-11-23T01:32:31.3482581Z output, output, output, ((gather, gather_1),), {}
2022-11-23T01:32:31.3482587Z 
2022-11-23T01:32:31.3482918Z [2022-11-23 01:29:41,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3483014Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3483112Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3483208Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3483308Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3483402Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3483504Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3483589Z              12 RETURN_VALUE
2022-11-23T01:32:31.3483595Z 
2022-11-23T01:32:31.3483655Z  
2022-11-23T01:32:31.3483984Z [2022-11-23 01:29:41,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3484102Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_500)
2022-11-23T01:32:31.3484199Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3484300Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3484385Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3484479Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3484573Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3484649Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3484744Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3484907Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3485021Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3485139Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3485221Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3485330Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3485419Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3485504Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3485601Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.3485684Z              32 RETURN_VALUE
2022-11-23T01:32:31.3485690Z 
2022-11-23T01:32:31.3485757Z  
2022-11-23T01:32:31.3485944Z [2022-11-23 01:29:41,202] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3486021Z  - 
2022-11-23T01:32:31.3486139Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3486211Z             {
2022-11-23T01:32:31.3486357Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3486552Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3486679Z                 'obj_weakref': None
2022-11-23T01:32:31.3486905Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3486975Z             }
2022-11-23T01:32:31.3487037Z             
2022-11-23T01:32:31.3487114Z  - 
2022-11-23T01:32:31.3487243Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3487313Z             {
2022-11-23T01:32:31.3487460Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3487572Z                 'code': None,
2022-11-23T01:32:31.3487784Z                 'obj_weakref': <weakref at 0x7f20602062a0; to 'Tensor' at 0x7f2151f01760>
2022-11-23T01:32:31.3488026Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3488098Z             }
2022-11-23T01:32:31.3488171Z             
2022-11-23T01:32:31.3488247Z  - 
2022-11-23T01:32:31.3488378Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3488449Z             {
2022-11-23T01:32:31.3488601Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3488706Z                 'code': None,
2022-11-23T01:32:31.3488918Z                 'obj_weakref': <weakref at 0x7f1ff815a430; to 'Tensor' at 0x7f2023415cb0>
2022-11-23T01:32:31.3489169Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3489239Z             }
2022-11-23T01:32:31.3489308Z             
2022-11-23T01:32:31.3489385Z  - 
2022-11-23T01:32:31.3489521Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3489584Z             {
2022-11-23T01:32:31.3489723Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3489901Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3490026Z                 'obj_weakref': None
2022-11-23T01:32:31.3490258Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3490331Z             }
2022-11-23T01:32:31.3490400Z             
2022-11-23T01:32:31.3490469Z  - 
2022-11-23T01:32:31.3490594Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3490665Z             {
2022-11-23T01:32:31.3490805Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3491024Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3491148Z                 'obj_weakref': None
2022-11-23T01:32:31.3491370Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3491432Z             }
2022-11-23T01:32:31.3491502Z             
2022-11-23T01:32:31.3491578Z  - 
2022-11-23T01:32:31.3491715Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3491784Z             {
2022-11-23T01:32:31.3491912Z                 'guard_types': None,
2022-11-23T01:32:31.3492056Z                 'code': None,
2022-11-23T01:32:31.3492173Z                 'obj_weakref': None
2022-11-23T01:32:31.3492320Z                 'guarded_class': None
2022-11-23T01:32:31.3492389Z             }
2022-11-23T01:32:31.3492458Z             
2022-11-23T01:32:31.3492720Z [2022-11-23 01:29:41,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490
2022-11-23T01:32:31.3493013Z [2022-11-23 01:29:41,225] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3493377Z [2022-11-23 01:29:41,398] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4siwwlc3c5iybnhr25sj2ovvcrhxaw3gvxthcgquptd4ylj3qn3.py
2022-11-23T01:32:31.3493643Z [2022-11-23 01:29:41,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490
2022-11-23T01:32:31.3493878Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3494196Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3494423Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3494677Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3494958Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3495281Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3495624Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3495953Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3496331Z [2022-11-23 01:29:41,402] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649> 
2022-11-23T01:32:31.3496436Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3496531Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.3496629Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3496732Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:31.3496828Z                8 BUILD_LIST               0
2022-11-23T01:32:31.3496936Z               10 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:31.3497029Z               12 LIST_EXTEND              1
2022-11-23T01:32:31.3497122Z               14 CALL_METHOD              1
2022-11-23T01:32:31.3497215Z               16 LOAD_CONST               2 (3)
2022-11-23T01:32:31.3497313Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3497412Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.3497492Z               22 BINARY_ADD
2022-11-23T01:32:31.3497590Z               24 CALL_METHOD              3
2022-11-23T01:32:31.3497596Z 
2022-11-23T01:32:31.3497699Z 1652          26 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3497800Z               28 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.3497895Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3497990Z               32 LOAD_METHOD              2 (expand)
2022-11-23T01:32:31.3498084Z               34 BUILD_LIST               0
2022-11-23T01:32:31.3498190Z               36 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:32:31.3498283Z               38 LIST_EXTEND              1
2022-11-23T01:32:31.3498376Z               40 CALL_METHOD              1
2022-11-23T01:32:31.3498549Z               42 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.3498647Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3498759Z               46 LOAD_CONST               3 (1)
2022-11-23T01:32:31.3498965Z               48 BINARY_ADD
2022-11-23T01:32:31.3499061Z               50 CALL_METHOD              3
2022-11-23T01:32:31.3499067Z 
2022-11-23T01:32:31.3499163Z 1650          52 BUILD_TUPLE              2
2022-11-23T01:32:31.3499246Z               54 RETURN_VALUE
2022-11-23T01:32:31.3499313Z  
2022-11-23T01:32:31.3499318Z 
2022-11-23T01:32:31.3499644Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651
2022-11-23T01:32:31.3499874Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3500241Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3500573Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3500934Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3501316Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.3501745Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3502252Z [2022-11-23 01:29:41,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3502661Z [2022-11-23 01:29:41,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3503005Z [2022-11-23 01:29:41,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3503381Z [2022-11-23 01:29:41,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3503796Z [2022-11-23 01:29:41,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3504253Z [2022-11-23 01:29:41,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3504663Z [2022-11-23 01:29:41,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3504981Z [2022-11-23 01:29:41,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652
2022-11-23T01:32:31.3505236Z [2022-11-23 01:29:41,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.3505675Z [2022-11-23 01:29:41,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3506058Z [2022-11-23 01:29:41,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3506444Z [2022-11-23 01:29:41,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3506863Z [2022-11-23 01:29:41,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:31.3507322Z [2022-11-23 01:29:41,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3507798Z [2022-11-23 01:29:41,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.3508237Z [2022-11-23 01:29:41,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:31.3508609Z [2022-11-23 01:29:41,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3509013Z [2022-11-23 01:29:41,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3509447Z [2022-11-23 01:29:41,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3509919Z [2022-11-23 01:29:41,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3510439Z [2022-11-23 01:29:41,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3510799Z [2022-11-23 01:29:41,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650
2022-11-23T01:32:31.3511101Z [2022-11-23 01:29:41,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3511349Z [2022-11-23 01:29:41,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3511726Z [2022-11-23 01:29:41,409] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649>
2022-11-23T01:32:31.3511975Z [2022-11-23 01:29:41,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3512205Z [2022-11-23 01:29:41,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3512466Z [2022-11-23 01:29:41,411] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3512753Z [2022-11-23 01:29:41,415] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3512970Z [2022-11-23 01:29:41,415] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3513119Z  __compiled_fn_501 <eval_with_key>.3102 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3513216Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3513311Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3513428Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:31.3513600Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.3513853Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (expand, 3, add), {}
2022-11-23T01:32:31.3513971Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:31.3514152Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.3514411Z call_function, gather_1, <built-in method gather of type object at 0x7f209c394c60>, (expand_1, -1, add_1), {}
2022-11-23T01:32:31.3514532Z output, output, output, ((gather, gather_1),), {}
2022-11-23T01:32:31.3514538Z 
2022-11-23T01:32:31.3514872Z [2022-11-23 01:29:41,416] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3514973Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3515064Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3515158Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3515262Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3515355Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3515451Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3515533Z              12 RETURN_VALUE
2022-11-23T01:32:31.3515539Z 
2022-11-23T01:32:31.3515607Z  
2022-11-23T01:32:31.3515935Z [2022-11-23 01:29:41,416] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3516050Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_501)
2022-11-23T01:32:31.3516149Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3516246Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3516330Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3516427Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3516522Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3516604Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3516693Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3516807Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3516916Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3517013Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3517095Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3517206Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3517302Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3517377Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3517472Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.3517554Z              32 RETURN_VALUE
2022-11-23T01:32:31.3517559Z 
2022-11-23T01:32:31.3517624Z  
2022-11-23T01:32:31.3517811Z [2022-11-23 01:29:41,416] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3517888Z  - 
2022-11-23T01:32:31.3518012Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3518076Z             {
2022-11-23T01:32:31.3518223Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3518417Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3518545Z                 'obj_weakref': None
2022-11-23T01:32:31.3518769Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3518841Z             }
2022-11-23T01:32:31.3518937Z             
2022-11-23T01:32:31.3519026Z  - 
2022-11-23T01:32:31.3519156Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3519228Z             {
2022-11-23T01:32:31.3519378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3519490Z                 'code': None,
2022-11-23T01:32:31.3519704Z                 'obj_weakref': <weakref at 0x7f20682ac720; to 'Tensor' at 0x7f20680bee30>
2022-11-23T01:32:31.3519953Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3520025Z             }
2022-11-23T01:32:31.3520087Z             
2022-11-23T01:32:31.3520163Z  - 
2022-11-23T01:32:31.3520291Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3520364Z             {
2022-11-23T01:32:31.3520512Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3520624Z                 'code': None,
2022-11-23T01:32:31.3520831Z                 'obj_weakref': <weakref at 0x7f1ff815a430; to 'Tensor' at 0x7f2023415cb0>
2022-11-23T01:32:31.3521090Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3521163Z             }
2022-11-23T01:32:31.3521232Z             
2022-11-23T01:32:31.3521309Z  - 
2022-11-23T01:32:31.3521446Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3521515Z             {
2022-11-23T01:32:31.3521650Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3521830Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3521954Z                 'obj_weakref': None
2022-11-23T01:32:31.3522187Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3522257Z             }
2022-11-23T01:32:31.3522327Z             
2022-11-23T01:32:31.3522402Z  - 
2022-11-23T01:32:31.3522523Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3522592Z             {
2022-11-23T01:32:31.3522738Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3522961Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3523085Z                 'obj_weakref': None
2022-11-23T01:32:31.3523307Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3523376Z             }
2022-11-23T01:32:31.3523439Z             
2022-11-23T01:32:31.3523515Z  - 
2022-11-23T01:32:31.3523652Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3523722Z             {
2022-11-23T01:32:31.3523845Z                 'guard_types': None,
2022-11-23T01:32:31.3523957Z                 'code': None,
2022-11-23T01:32:31.3524078Z                 'obj_weakref': None
2022-11-23T01:32:31.3524196Z                 'guarded_class': None
2022-11-23T01:32:31.3524266Z             }
2022-11-23T01:32:31.3524335Z             
2022-11-23T01:32:31.3524605Z [2022-11-23 01:29:41,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491
2022-11-23T01:32:31.3524905Z [2022-11-23 01:29:41,435] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3525267Z [2022-11-23 01:29:41,510] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rh/crhuuxeukoqkp2sp3c4jz4l2o6aaecgx2ed23g32af7rlyejzsyo.py
2022-11-23T01:32:31.3525541Z [2022-11-23 01:29:41,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491
2022-11-23T01:32:31.3525546Z 
2022-11-23T01:32:31.3525648Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3525717Z import torch
2022-11-23T01:32:31.3525792Z import random
2022-11-23T01:32:31.3525916Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3526045Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3526050Z 
2022-11-23T01:32:31.3526139Z aten = torch.ops.aten
2022-11-23T01:32:31.3526318Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3526441Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3526447Z 
2022-11-23T01:32:31.3526523Z import triton
2022-11-23T01:32:31.3526611Z import triton.language as tl
2022-11-23T01:32:31.3526740Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3526884Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3526890Z 
2022-11-23T01:32:31.3526894Z 
2022-11-23T01:32:31.3527118Z triton_fused_add_gather_expand_1_add_1_gather_1_expand0 = async_compile.triton('''
2022-11-23T01:32:31.3527195Z import triton
2022-11-23T01:32:31.3527288Z import triton.language as tl
2022-11-23T01:32:31.3527405Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3527513Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3527644Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3527771Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3527779Z 
2022-11-23T01:32:31.3528182Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3528260Z @triton.jit
2022-11-23T01:32:31.3528417Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3528494Z     xnumel = 200
2022-11-23T01:32:31.3528595Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3528730Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3528809Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3528886Z     x2 = xindex
2022-11-23T01:32:31.3528963Z     x0 = xindex % 10
2022-11-23T01:32:31.3529064Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.3529137Z     tmp1 = 1
2022-11-23T01:32:31.3529218Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3529360Z     tmp3 = tl.load(in_ptr1 + (tmp2 + (6*x0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3529502Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3529638Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3529726Z ''')
2022-11-23T01:32:31.3529731Z 
2022-11-23T01:32:31.3529736Z 
2022-11-23T01:32:31.3529830Z async_compile.wait(globals())
2022-11-23T01:32:31.3529909Z del async_compile
2022-11-23T01:32:31.3529915Z 
2022-11-23T01:32:31.3529990Z def call(args):
2022-11-23T01:32:31.3530071Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3530141Z     args.clear()
2022-11-23T01:32:31.3530361Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3530578Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3530672Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3530874Z     triton_fused_add_gather_expand_1_add_1_gather_1_expand0.run(arg1_1, arg0_1, buf0, buf1, 200, grid=grid(200), stream=stream0)
2022-11-23T01:32:31.3530950Z     del arg0_1
2022-11-23T01:32:31.3531023Z     del arg1_1
2022-11-23T01:32:31.3531106Z     return (buf0, buf1, )
2022-11-23T01:32:31.3531111Z 
2022-11-23T01:32:31.3531116Z 
2022-11-23T01:32:31.3531190Z if __name__ == "__main__":
2022-11-23T01:32:31.3531311Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3531442Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3531660Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3531873Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.3531999Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3532004Z 
2022-11-23T01:32:31.3532009Z 
2022-11-23T01:32:31.3532108Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3532183Z import torch
2022-11-23T01:32:31.3532280Z import random
2022-11-23T01:32:31.3532404Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3532557Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3532562Z 
2022-11-23T01:32:31.3532647Z aten = torch.ops.aten
2022-11-23T01:32:31.3532789Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3532887Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3532893Z 
2022-11-23T01:32:31.3532968Z import triton
2022-11-23T01:32:31.3533062Z import triton.language as tl
2022-11-23T01:32:31.3533184Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3533329Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3533334Z 
2022-11-23T01:32:31.3533339Z 
2022-11-23T01:32:31.3533564Z triton_fused_expand_gather_1_expand_1_gather_add_add_10 = async_compile.triton('''
2022-11-23T01:32:31.3533640Z import triton
2022-11-23T01:32:31.3533739Z import triton.language as tl
2022-11-23T01:32:31.3533858Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3533967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3534096Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3534226Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3534231Z 
2022-11-23T01:32:31.3534631Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3534706Z @triton.jit
2022-11-23T01:32:31.3534863Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3534939Z     xnumel = 200
2022-11-23T01:32:31.3535039Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3535173Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3535258Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3535324Z     x2 = xindex
2022-11-23T01:32:31.3535403Z     x0 = xindex % 10
2022-11-23T01:32:31.3535507Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.3535580Z     tmp1 = 1
2022-11-23T01:32:31.3535662Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3535825Z     tmp3 = tl.load(in_ptr1 + (tmp2 + (6*x0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.3535955Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3536091Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3536179Z ''')
2022-11-23T01:32:31.3536184Z 
2022-11-23T01:32:31.3536188Z 
2022-11-23T01:32:31.3536284Z async_compile.wait(globals())
2022-11-23T01:32:31.3536362Z del async_compile
2022-11-23T01:32:31.3536368Z 
2022-11-23T01:32:31.3536446Z def call(args):
2022-11-23T01:32:31.3536527Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3536605Z     args.clear()
2022-11-23T01:32:31.3536819Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3537040Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3537134Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3537329Z     triton_fused_expand_gather_1_expand_1_gather_add_add_10.run(arg1_1, arg0_1, buf0, buf1, 200, grid=grid(200), stream=stream0)
2022-11-23T01:32:31.3537403Z     del arg0_1
2022-11-23T01:32:31.3537476Z     del arg1_1
2022-11-23T01:32:31.3537558Z     return (buf0, buf1, )
2022-11-23T01:32:31.3537563Z 
2022-11-23T01:32:31.3537568Z 
2022-11-23T01:32:31.3537649Z if __name__ == "__main__":
2022-11-23T01:32:31.3537764Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3537896Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3538112Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3538356Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.3538480Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3538508Z 
2022-11-23T01:32:31.3538581Z ok (0.328s)
2022-11-23T01:32:31.3538705Z   test_gather2_cuda (__main__.CudaTests) ... ok (0.001s)
2022-11-23T01:32:31.3539152Z   test_gather_scatter_cuda (__main__.CudaTests) ... [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3539464Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3539686Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3539947Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3540228Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3540548Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3540898Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3541220Z [2022-11-23 01:29:41,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3541599Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376> 
2022-11-23T01:32:31.3541708Z  2377           0 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:31.3541815Z                2 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:31.3541912Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3541998Z                6 BINARY_SUBSCR
2022-11-23T01:32:31.3542085Z                8 BINARY_SUBSCR
2022-11-23T01:32:31.3542197Z               10 STORE_FAST               2 (src_node_feat)
2022-11-23T01:32:31.3542203Z 
2022-11-23T01:32:31.3542306Z 2378          12 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:31.3542414Z               14 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:31.3542513Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3542596Z               18 BINARY_SUBSCR
2022-11-23T01:32:31.3542672Z               20 BINARY_SUBSCR
2022-11-23T01:32:31.3542785Z               22 STORE_FAST               3 (dst_node_feat)
2022-11-23T01:32:31.3542790Z 
2022-11-23T01:32:31.3542898Z 2379          24 LOAD_FAST                2 (src_node_feat)
2022-11-23T01:32:31.3543007Z               26 LOAD_FAST                3 (dst_node_feat)
2022-11-23T01:32:31.3543096Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3543195Z               30 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3543277Z               32 BINARY_ADD
2022-11-23T01:32:31.3543375Z               34 STORE_FAST               4 (edge_feat)
2022-11-23T01:32:31.3543381Z 
2022-11-23T01:32:31.3543482Z 2380          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.3543591Z               38 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:31.3543696Z               40 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:31.3543791Z               42 CALL_METHOD              1
2022-11-23T01:32:31.3543901Z               44 STORE_FAST               5 (new_node_feat)
2022-11-23T01:32:31.3543906Z 
2022-11-23T01:32:31.3544013Z 2381          46 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:31.3544125Z               48 LOAD_METHOD              2 (scatter_add_)
2022-11-23T01:32:31.3544131Z 
2022-11-23T01:32:31.3544219Z 2382          50 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3544326Z               52 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:31.3544466Z               54 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3544576Z               56 BINARY_SUBSCR
2022-11-23T01:32:31.3544681Z               58 LOAD_METHOD              3 (unsqueeze)
2022-11-23T01:32:31.3544825Z               60 LOAD_CONST               3 (-1)
2022-11-23T01:32:31.3544921Z               62 CALL_METHOD              1
2022-11-23T01:32:31.3545028Z               64 LOAD_METHOD              4 (expand_as)
2022-11-23T01:32:31.3545124Z               66 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:31.3545217Z               68 CALL_METHOD              1
2022-11-23T01:32:31.3545319Z               70 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:31.3545324Z 
2022-11-23T01:32:31.3545420Z 2381          72 CALL_METHOD              3
2022-11-23T01:32:31.3545499Z               74 POP_TOP
2022-11-23T01:32:31.3545504Z 
2022-11-23T01:32:31.3545610Z 2384          76 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:31.3545695Z               78 RETURN_VALUE
2022-11-23T01:32:31.3545755Z  
2022-11-23T01:32:31.3545770Z 
2022-11-23T01:32:31.3546080Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2377
2022-11-23T01:32:31.3546306Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:31.3546559Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:31.3546833Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3547150Z [2022-11-23 01:29:41,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3547433Z [2022-11-23 01:29:41,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3547699Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()]
2022-11-23T01:32:31.3548015Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2378
2022-11-23T01:32:31.3548238Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:31.3548484Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:31.3548749Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3549066Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3549345Z [2022-11-23 01:29:41,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3549607Z [2022-11-23 01:29:41,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:31.3549920Z [2022-11-23 01:29:41,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2379
2022-11-23T01:32:31.3550153Z [2022-11-23 01:29:41,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat []
2022-11-23T01:32:31.3550489Z [2022-11-23 01:29:41,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:31.3550778Z [2022-11-23 01:29:41,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3551021Z [2022-11-23 01:29:41,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.3551332Z [2022-11-23 01:29:41,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3551620Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()]
2022-11-23T01:32:31.3551937Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2380
2022-11-23T01:32:31.3552159Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.3552534Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.3552882Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.3553252Z [2022-11-23 01:29:41,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.3553515Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()]
2022-11-23T01:32:31.3553833Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:32:31.3554066Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:31.3554324Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()]
2022-11-23T01:32:31.3554628Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2382
2022-11-23T01:32:31.3554925Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)]
2022-11-23T01:32:31.3555265Z [2022-11-23 01:29:41,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)]
2022-11-23T01:32:31.3555618Z [2022-11-23 01:29:41,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3556020Z [2022-11-23 01:29:41,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3556387Z [2022-11-23 01:29:41,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3556792Z [2022-11-23 01:29:41,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)]
2022-11-23T01:32:31.3557234Z [2022-11-23 01:29:41,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)]
2022-11-23T01:32:31.3557598Z [2022-11-23 01:29:41,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3558009Z [2022-11-23 01:29:41,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)]
2022-11-23T01:32:31.3558462Z [2022-11-23 01:29:41,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()]
2022-11-23T01:32:31.3558841Z [2022-11-23 01:29:41,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.3559158Z [2022-11-23 01:29:41,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:32:31.3559539Z [2022-11-23 01:29:41,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3559783Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.3560098Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2384
2022-11-23T01:32:31.3560331Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:31.3560584Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3560959Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376>
2022-11-23T01:32:31.3561211Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.3561450Z [2022-11-23 01:29:41,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3561706Z [2022-11-23 01:29:41,528] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3561962Z [2022-11-23 01:29:41,534] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3562151Z [2022-11-23 01:29:41,534] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3562297Z  __compiled_fn_502 <eval_with_key>.3108 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3562394Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3562488Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3562681Z call_function, getitem, <built-in function getitem>, (ex_1_, 0), {}
2022-11-23T01:32:31.3562885Z call_function, getitem_1, <built-in function getitem>, (ex_0_, getitem), {}
2022-11-23T01:32:31.3563079Z call_function, getitem_2, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:31.3563284Z call_function, getitem_3, <built-in function getitem>, (ex_0_, getitem_2), {}
2022-11-23T01:32:31.3563475Z call_function, sub, <built-in function sub>, (getitem_1, getitem_3), {}
2022-11-23T01:32:31.3563648Z call_function, add, <built-in function add>, (sub, 1), {}
2022-11-23T01:32:31.3563896Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.3564091Z call_function, getitem_4, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:31.3564264Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {}
2022-11-23T01:32:31.3564392Z call_method, expand_as, expand_as, (unsqueeze, add), {}
2022-11-23T01:32:31.3564543Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {}
2022-11-23T01:32:31.3564655Z output, output, output, ((zeros_like,),), {}
2022-11-23T01:32:31.3564661Z 
2022-11-23T01:32:31.3564981Z [2022-11-23 01:29:41,535] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3565083Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3565181Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3565277Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3565378Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3565499Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3565597Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3565694Z              12 RETURN_VALUE
2022-11-23T01:32:31.3565706Z 
2022-11-23T01:32:31.3565766Z  
2022-11-23T01:32:31.3566085Z [2022-11-23 01:29:41,535] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3566206Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_502)
2022-11-23T01:32:31.3566304Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3566403Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3566486Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3566584Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3566674Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3566755Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3566851Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3566952Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.3567040Z              18 RETURN_VALUE
2022-11-23T01:32:31.3567045Z 
2022-11-23T01:32:31.3567111Z  
2022-11-23T01:32:31.3567300Z [2022-11-23 01:29:41,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3567370Z  - 
2022-11-23T01:32:31.3567495Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3567565Z             {
2022-11-23T01:32:31.3567713Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3567906Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3568031Z                 'obj_weakref': None
2022-11-23T01:32:31.3568259Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3568322Z             }
2022-11-23T01:32:31.3568391Z             
2022-11-23T01:32:31.3568468Z  - 
2022-11-23T01:32:31.3568598Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3568668Z             {
2022-11-23T01:32:31.3568819Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3568934Z                 'code': None,
2022-11-23T01:32:31.3569138Z                 'obj_weakref': <weakref at 0x7f2023100040; to 'Tensor' at 0x7f1fe0369210>
2022-11-23T01:32:31.3569389Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3569459Z             }
2022-11-23T01:32:31.3569529Z             
2022-11-23T01:32:31.3569605Z  - 
2022-11-23T01:32:31.3569733Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3569801Z             {
2022-11-23T01:32:31.3569943Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3570056Z                 'code': None,
2022-11-23T01:32:31.3570266Z                 'obj_weakref': <weakref at 0x7f206078a980; to 'Tensor' at 0x7f20230960c0>
2022-11-23T01:32:31.3570519Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3570591Z             }
2022-11-23T01:32:31.3570660Z             
2022-11-23T01:32:31.3570737Z  - 
2022-11-23T01:32:31.3570865Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3570934Z             {
2022-11-23T01:32:31.3571074Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3571247Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3571371Z                 'obj_weakref': None
2022-11-23T01:32:31.3571600Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3571671Z             }
2022-11-23T01:32:31.3571733Z             
2022-11-23T01:32:31.3571808Z  - 
2022-11-23T01:32:31.3571938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3572008Z             {
2022-11-23T01:32:31.3572148Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3572364Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3572517Z                 'obj_weakref': None
2022-11-23T01:32:31.3572753Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3572822Z             }
2022-11-23T01:32:31.3572890Z             
2022-11-23T01:32:31.3572966Z  - 
2022-11-23T01:32:31.3573103Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.3573172Z             {
2022-11-23T01:32:31.3573298Z                 'guard_types': None,
2022-11-23T01:32:31.3573402Z                 'code': None,
2022-11-23T01:32:31.3573525Z                 'obj_weakref': None
2022-11-23T01:32:31.3573651Z                 'guarded_class': None
2022-11-23T01:32:31.3573721Z             }
2022-11-23T01:32:31.3573789Z             
2022-11-23T01:32:31.3574051Z [2022-11-23 01:29:41,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492
2022-11-23T01:32:31.3574300Z [2022-11-23 01:29:41,562] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3574541Z [2022-11-23 01:29:41,563] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3574912Z [2022-11-23 01:29:41,717] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gr/cgro6easbyj3zsk5llgjhpvxjrbnxq4l4ftwnpacmjbl5vu2lkfo.py
2022-11-23T01:32:31.3575181Z [2022-11-23 01:29:41,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492
2022-11-23T01:32:31.3575186Z 
2022-11-23T01:32:31.3575290Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3575365Z import torch
2022-11-23T01:32:31.3575441Z import random
2022-11-23T01:32:31.3575569Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3575697Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3575703Z 
2022-11-23T01:32:31.3575786Z aten = torch.ops.aten
2022-11-23T01:32:31.3575921Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3576022Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3576027Z 
2022-11-23T01:32:31.3576105Z import triton
2022-11-23T01:32:31.3576198Z import triton.language as tl
2022-11-23T01:32:31.3576327Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3576471Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3576477Z 
2022-11-23T01:32:31.3576482Z 
2022-11-23T01:32:31.3576751Z triton_fused_scatter_add__index_1_select_2_add_sub_index_unsqueeze_zeros_like_expand0 = async_compile.triton('''
2022-11-23T01:32:31.3576827Z import triton
2022-11-23T01:32:31.3576916Z import triton.language as tl
2022-11-23T01:32:31.3577032Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3577138Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3577274Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3577403Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3577409Z 
2022-11-23T01:32:31.3577771Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.3577847Z @triton.jit
2022-11-23T01:32:31.3577972Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3578042Z     xnumel = 512
2022-11-23T01:32:31.3578143Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3578277Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3578363Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3578435Z     x0 = xindex
2022-11-23T01:32:31.3578506Z     tmp0 = 0
2022-11-23T01:32:31.3578637Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.3578725Z ''')
2022-11-23T01:32:31.3578731Z 
2022-11-23T01:32:31.3578735Z 
2022-11-23T01:32:31.3579123Z triton_fused_scatter_add__index_1_select_2_add_sub_index_unsqueeze_zeros_like_expand1 = async_compile.triton('''
2022-11-23T01:32:31.3579200Z import triton
2022-11-23T01:32:31.3579337Z import triton.language as tl
2022-11-23T01:32:31.3579481Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3579584Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3579721Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3579842Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3579855Z 
2022-11-23T01:32:31.3580239Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3580314Z @triton.jit
2022-11-23T01:32:31.3580460Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3580538Z     xnumel = 2560
2022-11-23T01:32:31.3580638Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3580770Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3580858Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3580936Z     x1 = (xindex // 32)
2022-11-23T01:32:31.3581014Z     x0 = xindex % 32
2022-11-23T01:32:31.3581120Z     tmp0 = tl.load(in_ptr0 + (80 + x1), xmask)
2022-11-23T01:32:31.3581220Z     tmp1 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.3581366Z     tmp2 = tl.load(in_ptr1 + (x0 + (32*tmp1) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3581506Z     tmp3 = tl.load(in_ptr1 + (x0 + (32*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3581619Z     tmp4 = tmp2 - tmp3
2022-11-23T01:32:31.3581685Z     tmp5 = 1
2022-11-23T01:32:31.3581767Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:31.3581923Z     tl.atomic_add(out_ptr0 + (x0 + (32*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.3582011Z ''')
2022-11-23T01:32:31.3582017Z 
2022-11-23T01:32:31.3582021Z 
2022-11-23T01:32:31.3582116Z async_compile.wait(globals())
2022-11-23T01:32:31.3582194Z del async_compile
2022-11-23T01:32:31.3582199Z 
2022-11-23T01:32:31.3582278Z def call(args):
2022-11-23T01:32:31.3582362Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3582432Z     args.clear()
2022-11-23T01:32:31.3582641Z     buf0 = empty_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3582734Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3582942Z     triton_fused_scatter_add__index_1_select_2_add_sub_index_unsqueeze_zeros_like_expand0.run(buf0, 512, grid=grid(512), stream=stream0)
2022-11-23T01:32:31.3583164Z     triton_fused_scatter_add__index_1_select_2_add_sub_index_unsqueeze_zeros_like_expand1.run(arg1_1, arg0_1, buf0, 2560, grid=grid(2560), stream=stream0)
2022-11-23T01:32:31.3583238Z     del arg0_1
2022-11-23T01:32:31.3583314Z     del arg1_1
2022-11-23T01:32:31.3583384Z     return (buf0, )
2022-11-23T01:32:31.3583397Z 
2022-11-23T01:32:31.3583402Z 
2022-11-23T01:32:31.3583477Z if __name__ == "__main__":
2022-11-23T01:32:31.3583603Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3583738Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3583947Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3584149Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.3584270Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3584275Z 
2022-11-23T01:32:31.3584348Z ok (0.206s)
2022-11-23T01:32:31.3584653Z   test_gelu_cuda (__main__.CudaTests) ... [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3584963Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3585185Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3585499Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3585781Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3586121Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3586464Z [2022-11-23 01:29:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3586784Z [2022-11-23 01:29:41,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3587157Z [2022-11-23 01:29:41,722] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438> 
2022-11-23T01:32:31.3587265Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3587371Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:31.3587463Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3587560Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3587659Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.3587739Z               10 BINARY_ADD
2022-11-23T01:32:31.3587841Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3587940Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:31.3588036Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3588124Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3588204Z               20 BINARY_ADD
2022-11-23T01:32:31.3588300Z               22 CALL_METHOD              1
2022-11-23T01:32:31.3588396Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.3588484Z               26 RETURN_VALUE
2022-11-23T01:32:31.3588552Z  
2022-11-23T01:32:31.3588557Z 
2022-11-23T01:32:31.3588875Z [2022-11-23 01:29:41,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439
2022-11-23T01:32:31.3589101Z [2022-11-23 01:29:41,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.3589399Z [2022-11-23 01:29:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3589653Z [2022-11-23 01:29:41,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T01:32:31.3589939Z [2022-11-23 01:29:41,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3590181Z [2022-11-23 01:29:41,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.3590573Z [2022-11-23 01:29:41,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3590826Z [2022-11-23 01:29:41,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3591157Z [2022-11-23 01:29:41,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3591435Z [2022-11-23 01:29:41,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T01:32:31.3591750Z [2022-11-23 01:29:41,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3592104Z [2022-11-23 01:29:41,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3592444Z [2022-11-23 01:29:41,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3592735Z [2022-11-23 01:29:41,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3592986Z [2022-11-23 01:29:41,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3593366Z [2022-11-23 01:29:41,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438>
2022-11-23T01:32:31.3593611Z [2022-11-23 01:29:41,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3593850Z [2022-11-23 01:29:41,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3594107Z [2022-11-23 01:29:41,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3594362Z [2022-11-23 01:29:41,743] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3594562Z [2022-11-23 01:29:41,743] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3594705Z  __compiled_fn_503 <eval_with_key>.3114 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3594794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3594909Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T01:32:31.3595089Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T01:32:31.3595272Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.3595384Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T01:32:31.3595496Z output, output, output, ((add, gelu_1),), {}
2022-11-23T01:32:31.3595501Z 
2022-11-23T01:32:31.3595832Z [2022-11-23 01:29:41,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3595931Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3596031Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3596128Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3596230Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3596325Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3596426Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3596507Z              12 RETURN_VALUE
2022-11-23T01:32:31.3596513Z 
2022-11-23T01:32:31.3596579Z  
2022-11-23T01:32:31.3596890Z [2022-11-23 01:29:41,744] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3597012Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_503)
2022-11-23T01:32:31.3597112Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3597210Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3597298Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3597393Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3597510Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3597614Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3597713Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3597795Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3597906Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3598005Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3598087Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3598182Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.3598258Z              26 RETURN_VALUE
2022-11-23T01:32:31.3598270Z 
2022-11-23T01:32:31.3598330Z  
2022-11-23T01:32:31.3598520Z [2022-11-23 01:29:41,744] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3598597Z  - 
2022-11-23T01:32:31.3598723Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3598827Z             {
2022-11-23T01:32:31.3598977Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3599200Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3599319Z                 'obj_weakref': None
2022-11-23T01:32:31.3599544Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3599618Z             }
2022-11-23T01:32:31.3599688Z             
2022-11-23T01:32:31.3599767Z  - 
2022-11-23T01:32:31.3599898Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3599968Z             {
2022-11-23T01:32:31.3600109Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3600222Z                 'code': None,
2022-11-23T01:32:31.3600433Z                 'obj_weakref': <weakref at 0x7f2023097970; to 'Tensor' at 0x7f2022f7b420>
2022-11-23T01:32:31.3600687Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3600760Z             }
2022-11-23T01:32:31.3600834Z             
2022-11-23T01:32:31.3600912Z  - 
2022-11-23T01:32:31.3601043Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3601112Z             {
2022-11-23T01:32:31.3601256Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3601433Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3601559Z                 'obj_weakref': None
2022-11-23T01:32:31.3601792Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3601862Z             }
2022-11-23T01:32:31.3601926Z             
2022-11-23T01:32:31.3602001Z  - 
2022-11-23T01:32:31.3602130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3602200Z             {
2022-11-23T01:32:31.3602344Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3602598Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3602745Z                 'obj_weakref': None
2022-11-23T01:32:31.3602967Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3603037Z             }
2022-11-23T01:32:31.3603108Z             
2022-11-23T01:32:31.3603186Z  - 
2022-11-23T01:32:31.3603322Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3603392Z             {
2022-11-23T01:32:31.3603510Z                 'guard_types': None,
2022-11-23T01:32:31.3603623Z                 'code': None,
2022-11-23T01:32:31.3603746Z                 'obj_weakref': None
2022-11-23T01:32:31.3603874Z                 'guarded_class': None
2022-11-23T01:32:31.3603944Z             }
2022-11-23T01:32:31.3604015Z             
2022-11-23T01:32:31.3604277Z [2022-11-23 01:29:41,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493
2022-11-23T01:32:31.3604577Z [2022-11-23 01:29:41,768] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3604933Z [2022-11-23 01:29:41,912] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t6/ct6nwcsw3bkb43ryx5h7gjw2fnz6c7uxk6vsbifmwtcj6vyucwyr.py
2022-11-23T01:32:31.3605198Z [2022-11-23 01:29:41,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493
2022-11-23T01:32:31.3605440Z [2022-11-23 01:29:41,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3605757Z [2022-11-23 01:29:41,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3605983Z [2022-11-23 01:29:41,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3606244Z [2022-11-23 01:29:41,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3606563Z [2022-11-23 01:29:41,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3606902Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3607250Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3607574Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3607946Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438> 
2022-11-23T01:32:31.3608056Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3608160Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:31.3608260Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3608360Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3608460Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.3608541Z               10 BINARY_ADD
2022-11-23T01:32:31.3608642Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3608733Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:31.3608830Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3608927Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3609008Z               20 BINARY_ADD
2022-11-23T01:32:31.3609103Z               22 CALL_METHOD              1
2022-11-23T01:32:31.3609199Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.3609287Z               26 RETURN_VALUE
2022-11-23T01:32:31.3609348Z  
2022-11-23T01:32:31.3609353Z 
2022-11-23T01:32:31.3609676Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439
2022-11-23T01:32:31.3609898Z [2022-11-23 01:29:41,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.3610209Z [2022-11-23 01:29:41,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3610469Z [2022-11-23 01:29:41,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T01:32:31.3610760Z [2022-11-23 01:29:41,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3611006Z [2022-11-23 01:29:41,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.3611292Z [2022-11-23 01:29:41,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3611544Z [2022-11-23 01:29:41,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3611875Z [2022-11-23 01:29:41,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3612157Z [2022-11-23 01:29:41,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T01:32:31.3612467Z [2022-11-23 01:29:41,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3612822Z [2022-11-23 01:29:41,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3613140Z [2022-11-23 01:29:41,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:31.3613446Z [2022-11-23 01:29:41,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3613733Z [2022-11-23 01:29:41,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3614115Z [2022-11-23 01:29:41,932] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438>
2022-11-23T01:32:31.3614360Z [2022-11-23 01:29:41,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3614596Z [2022-11-23 01:29:41,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3614859Z [2022-11-23 01:29:41,933] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3615111Z [2022-11-23 01:29:41,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3615308Z [2022-11-23 01:29:41,939] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3615457Z  __compiled_fn_504 <eval_with_key>.3120 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3615554Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3615666Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T01:32:31.3615848Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T01:32:31.3616030Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.3616135Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T01:32:31.3616247Z output, output, output, ((add, gelu_1),), {}
2022-11-23T01:32:31.3616253Z 
2022-11-23T01:32:31.3616578Z [2022-11-23 01:29:41,939] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3616681Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3616782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3616881Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3616983Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3617079Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3617168Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3617252Z              12 RETURN_VALUE
2022-11-23T01:32:31.3617257Z 
2022-11-23T01:32:31.3617324Z  
2022-11-23T01:32:31.3617644Z [2022-11-23 01:29:41,939] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3617765Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_504)
2022-11-23T01:32:31.3617863Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3617961Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3618045Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3618132Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3618246Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3618358Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3618455Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3618541Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3618651Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3618748Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3619082Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3619180Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.3619262Z              26 RETURN_VALUE
2022-11-23T01:32:31.3619267Z 
2022-11-23T01:32:31.3619336Z  
2022-11-23T01:32:31.3619533Z [2022-11-23 01:29:41,940] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3619610Z  - 
2022-11-23T01:32:31.3619736Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3619799Z             {
2022-11-23T01:32:31.3620010Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3620207Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3620359Z                 'obj_weakref': None
2022-11-23T01:32:31.3620588Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3620657Z             }
2022-11-23T01:32:31.3620725Z             
2022-11-23T01:32:31.3620794Z  - 
2022-11-23T01:32:31.3620923Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3620991Z             {
2022-11-23T01:32:31.3621140Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3621253Z                 'code': None,
2022-11-23T01:32:31.3621465Z                 'obj_weakref': <weakref at 0x7f1fd8355850; to 'Tensor' at 0x7f2115dc6e80>
2022-11-23T01:32:31.3621721Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3621791Z             }
2022-11-23T01:32:31.3621856Z             
2022-11-23T01:32:31.3621932Z  - 
2022-11-23T01:32:31.3622071Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3622142Z             {
2022-11-23T01:32:31.3622285Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3622463Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3622582Z                 'obj_weakref': None
2022-11-23T01:32:31.3622813Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3622881Z             }
2022-11-23T01:32:31.3622948Z             
2022-11-23T01:32:31.3623024Z  - 
2022-11-23T01:32:31.3623150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3623220Z             {
2022-11-23T01:32:31.3623353Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3623571Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3623695Z                 'obj_weakref': None
2022-11-23T01:32:31.3623921Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3623993Z             }
2022-11-23T01:32:31.3624061Z             
2022-11-23T01:32:31.3624136Z  - 
2022-11-23T01:32:31.3624265Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3624334Z             {
2022-11-23T01:32:31.3624460Z                 'guard_types': None,
2022-11-23T01:32:31.3624571Z                 'code': None,
2022-11-23T01:32:31.3624693Z                 'obj_weakref': None
2022-11-23T01:32:31.3624819Z                 'guarded_class': None
2022-11-23T01:32:31.3624887Z             }
2022-11-23T01:32:31.3624948Z             
2022-11-23T01:32:31.3625212Z [2022-11-23 01:29:41,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494
2022-11-23T01:32:31.3625506Z [2022-11-23 01:29:41,970] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3625872Z [2022-11-23 01:29:42,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zj/czj4xlbmrpvxz6bp2fk5ft3don6re4lttmezj6ogeflzjywb3vq6.py
2022-11-23T01:32:31.3626140Z [2022-11-23 01:29:42,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494
2022-11-23T01:32:31.3626146Z 
2022-11-23T01:32:31.3626246Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3626320Z import torch
2022-11-23T01:32:31.3626397Z import random
2022-11-23T01:32:31.3626513Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3626641Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3626646Z 
2022-11-23T01:32:31.3626730Z aten = torch.ops.aten
2022-11-23T01:32:31.3626872Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3626970Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3626975Z 
2022-11-23T01:32:31.3627050Z import triton
2022-11-23T01:32:31.3627144Z import triton.language as tl
2022-11-23T01:32:31.3627308Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3627469Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3627474Z 
2022-11-23T01:32:31.3627486Z 
2022-11-23T01:32:31.3627714Z triton_fused_mul_5_mul_2_add_3_add_mul_3_add_1_mul_1_erf_1_mul_mul_40 = async_compile.triton('''
2022-11-23T01:32:31.3627790Z import triton
2022-11-23T01:32:31.3627883Z import triton.language as tl
2022-11-23T01:32:31.3627999Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3628103Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3628240Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3628368Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3628373Z 
2022-11-23T01:32:31.3628761Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3628839Z @triton.jit
2022-11-23T01:32:31.3628990Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3629067Z     xnumel = 256
2022-11-23T01:32:31.3629165Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3629302Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3629387Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3629459Z     x0 = xindex
2022-11-23T01:32:31.3629551Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3629625Z     tmp1 = 0.5
2022-11-23T01:32:31.3629709Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.3629790Z     tmp3 = 0.7071067811865476
2022-11-23T01:32:31.3629870Z     tmp4 = tmp0 * tmp3
2022-11-23T01:32:31.3629966Z     tmp5 = tl.libdevice.erf(tmp4)
2022-11-23T01:32:31.3630031Z     tmp6 = 1
2022-11-23T01:32:31.3630109Z     tmp7 = tmp5 + tmp6
2022-11-23T01:32:31.3630187Z     tmp8 = tmp2 * tmp7
2022-11-23T01:32:31.3630347Z     tmp9 = 2
2022-11-23T01:32:31.3630448Z     tmp10 = tmp8 + tmp9
2022-11-23T01:32:31.3630551Z     tmp11 = tmp0 + tmp6
2022-11-23T01:32:31.3630647Z     tmp12 = tmp11 * tmp1
2022-11-23T01:32:31.3630734Z     tmp13 = tmp11 * tmp3
2022-11-23T01:32:31.3630847Z     tmp14 = tl.libdevice.erf(tmp13)
2022-11-23T01:32:31.3630944Z     tmp15 = tmp14 + tmp6
2022-11-23T01:32:31.3631038Z     tmp16 = tmp12 * tmp15
2022-11-23T01:32:31.3631465Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.3631602Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:31.3631692Z ''')
2022-11-23T01:32:31.3631697Z 
2022-11-23T01:32:31.3631702Z 
2022-11-23T01:32:31.3631790Z async_compile.wait(globals())
2022-11-23T01:32:31.3631868Z del async_compile
2022-11-23T01:32:31.3631873Z 
2022-11-23T01:32:31.3631948Z def call(args):
2022-11-23T01:32:31.3632025Z     arg0_1, = args
2022-11-23T01:32:31.3632101Z     args.clear()
2022-11-23T01:32:31.3632324Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3632562Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3632656Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3632838Z     triton_fused_mul_5_mul_2_add_3_add_mul_3_add_1_mul_1_erf_1_mul_mul_40.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3632913Z     del arg0_1
2022-11-23T01:32:31.3632996Z     return (buf0, buf1, )
2022-11-23T01:32:31.3633002Z 
2022-11-23T01:32:31.3633006Z 
2022-11-23T01:32:31.3633089Z if __name__ == "__main__":
2022-11-23T01:32:31.3633210Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3633341Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3633552Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3633666Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3633671Z 
2022-11-23T01:32:31.3633675Z 
2022-11-23T01:32:31.3633808Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3633905Z import torch
2022-11-23T01:32:31.3633982Z import random
2022-11-23T01:32:31.3634104Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3634232Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3634237Z 
2022-11-23T01:32:31.3634321Z aten = torch.ops.aten
2022-11-23T01:32:31.3634461Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3634552Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3634566Z 
2022-11-23T01:32:31.3634636Z import triton
2022-11-23T01:32:31.3634729Z import triton.language as tl
2022-11-23T01:32:31.3634858Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3635001Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3635007Z 
2022-11-23T01:32:31.3635011Z 
2022-11-23T01:32:31.3635270Z triton_fused_mul_5_add_1_mul_1_convert_element_type_mul_3_mul_add_erf_1_erf_add_30 = async_compile.triton('''
2022-11-23T01:32:31.3635352Z import triton
2022-11-23T01:32:31.3635449Z import triton.language as tl
2022-11-23T01:32:31.3635558Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3635664Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3635801Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3635929Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3635935Z 
2022-11-23T01:32:31.3636326Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.3636402Z @triton.jit
2022-11-23T01:32:31.3636550Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3636625Z     xnumel = 256
2022-11-23T01:32:31.3636718Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3636855Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3636941Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3637017Z     x0 = xindex
2022-11-23T01:32:31.3637137Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3637228Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.3637303Z     tmp2 = 0.5
2022-11-23T01:32:31.3637377Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.3637465Z     tmp4 = 0.7071067811865476
2022-11-23T01:32:31.3637546Z     tmp5 = tmp1 * tmp4
2022-11-23T01:32:31.3637644Z     tmp6 = tl.libdevice.erf(tmp5)
2022-11-23T01:32:31.3637717Z     tmp7 = 1
2022-11-23T01:32:31.3637796Z     tmp8 = tmp6 + tmp7
2022-11-23T01:32:31.3637875Z     tmp9 = tmp3 * tmp8
2022-11-23T01:32:31.3637959Z     tmp10 = tmp9.to(tl.float32)
2022-11-23T01:32:31.3638035Z     tmp11 = 2
2022-11-23T01:32:31.3638118Z     tmp12 = tmp10 + tmp11
2022-11-23T01:32:31.3638200Z     tmp13 = tmp0 + tmp7
2022-11-23T01:32:31.3638294Z     tmp14 = tmp13.to(tl.float32)
2022-11-23T01:32:31.3638379Z     tmp15 = tmp14 * tmp2
2022-11-23T01:32:31.3638464Z     tmp16 = tmp14 * tmp4
2022-11-23T01:32:31.3638560Z     tmp17 = tl.libdevice.erf(tmp16)
2022-11-23T01:32:31.3638643Z     tmp18 = tmp17 + tmp7
2022-11-23T01:32:31.3638728Z     tmp19 = tmp15 * tmp18
2022-11-23T01:32:31.3638819Z     tmp20 = tmp19.to(tl.float32)
2022-11-23T01:32:31.3638959Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.3639095Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp20, xmask)
2022-11-23T01:32:31.3639181Z ''')
2022-11-23T01:32:31.3639187Z 
2022-11-23T01:32:31.3639191Z 
2022-11-23T01:32:31.3639279Z async_compile.wait(globals())
2022-11-23T01:32:31.3639358Z del async_compile
2022-11-23T01:32:31.3639363Z 
2022-11-23T01:32:31.3639440Z def call(args):
2022-11-23T01:32:31.3639515Z     arg0_1, = args
2022-11-23T01:32:31.3639593Z     args.clear()
2022-11-23T01:32:31.3639796Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3640023Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3640129Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3640335Z     triton_fused_mul_5_add_1_mul_1_convert_element_type_mul_3_mul_add_erf_1_erf_add_30.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.3640410Z     del arg0_1
2022-11-23T01:32:31.3640494Z     return (buf0, buf1, )
2022-11-23T01:32:31.3640500Z 
2022-11-23T01:32:31.3640504Z 
2022-11-23T01:32:31.3640589Z if __name__ == "__main__":
2022-11-23T01:32:31.3640712Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3640842Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3641048Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3641155Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3641167Z 
2022-11-23T01:32:31.3641233Z ok (0.411s)
2022-11-23T01:32:31.3641539Z   test_glu_cuda (__main__.CudaTests) ... [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3641857Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3642077Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3642332Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3642609Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3642926Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3643271Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3643596Z [2022-11-23 01:29:42,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3643969Z [2022-11-23 01:29:42,133] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544> 
2022-11-23T01:32:31.3644075Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3644178Z                2 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3644277Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3644421Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.3644519Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3644622Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3644720Z               12 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3644812Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3644911Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3645011Z               18 CALL_METHOD              2
2022-11-23T01:32:31.3645110Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3645209Z               22 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3645307Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3645403Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3645491Z               28 CALL_METHOD              2
2022-11-23T01:32:31.3645589Z               30 BUILD_TUPLE              3
2022-11-23T01:32:31.3645672Z               32 RETURN_VALUE
2022-11-23T01:32:31.3645740Z  
2022-11-23T01:32:31.3645746Z 
2022-11-23T01:32:31.3646059Z [2022-11-23 01:29:42,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545
2022-11-23T01:32:31.3646313Z [2022-11-23 01:29:42,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.3646660Z [2022-11-23 01:29:42,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3646912Z [2022-11-23 01:29:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T01:32:31.3647192Z [2022-11-23 01:29:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3647506Z [2022-11-23 01:29:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3647755Z [2022-11-23 01:29:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3648086Z [2022-11-23 01:29:42,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3648367Z [2022-11-23 01:29:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:31.3648680Z [2022-11-23 01:29:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3649029Z [2022-11-23 01:29:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3649306Z [2022-11-23 01:29:42,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3649668Z [2022-11-23 01:29:42,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3649977Z [2022-11-23 01:29:42,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:31.3650311Z [2022-11-23 01:29:42,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3650683Z [2022-11-23 01:29:42,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3650977Z [2022-11-23 01:29:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3651230Z [2022-11-23 01:29:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3651613Z [2022-11-23 01:29:42,154] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544>
2022-11-23T01:32:31.3651866Z [2022-11-23 01:29:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3652108Z [2022-11-23 01:29:42,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3652369Z [2022-11-23 01:29:42,155] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3652645Z [2022-11-23 01:29:42,159] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3652847Z [2022-11-23 01:29:42,159] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3653012Z  __compiled_fn_505 <eval_with_key>.3126 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3653107Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3653282Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T01:32:31.3653395Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T01:32:31.3653506Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T01:32:31.3653653Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T01:32:31.3653678Z 
2022-11-23T01:32:31.3654008Z [2022-11-23 01:29:42,160] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3654111Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3654210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3654297Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3654397Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3654490Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3654586Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3654668Z              12 RETURN_VALUE
2022-11-23T01:32:31.3654674Z 
2022-11-23T01:32:31.3654741Z  
2022-11-23T01:32:31.3655065Z [2022-11-23 01:29:42,160] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3655190Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_505)
2022-11-23T01:32:31.3655281Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3655381Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3655465Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3655560Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3655676Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3655786Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3655887Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3655963Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3656074Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3656170Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3656253Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3656364Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3656461Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3656553Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3656642Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3656728Z              32 RETURN_VALUE
2022-11-23T01:32:31.3656734Z 
2022-11-23T01:32:31.3656800Z  
2022-11-23T01:32:31.3656989Z [2022-11-23 01:29:42,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3657068Z  - 
2022-11-23T01:32:31.3657194Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3657265Z             {
2022-11-23T01:32:31.3657404Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3657597Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3657724Z                 'obj_weakref': None
2022-11-23T01:32:31.3657952Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3658024Z             }
2022-11-23T01:32:31.3658099Z             
2022-11-23T01:32:31.3658176Z  - 
2022-11-23T01:32:31.3658303Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3658373Z             {
2022-11-23T01:32:31.3658523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3658637Z                 'code': None,
2022-11-23T01:32:31.3659273Z                 'obj_weakref': <weakref at 0x7f20602060c0; to 'Tensor' at 0x7f2151f018a0>
2022-11-23T01:32:31.3659539Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3659610Z             }
2022-11-23T01:32:31.3659681Z             
2022-11-23T01:32:31.3659751Z  - 
2022-11-23T01:32:31.3659890Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3659962Z             {
2022-11-23T01:32:31.3660105Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3660282Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3660411Z                 'obj_weakref': None
2022-11-23T01:32:31.3660728Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3660828Z             }
2022-11-23T01:32:31.3660898Z             
2022-11-23T01:32:31.3660977Z  - 
2022-11-23T01:32:31.3661107Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3661178Z             {
2022-11-23T01:32:31.3661324Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3661543Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3661670Z                 'obj_weakref': None
2022-11-23T01:32:31.3661900Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3661970Z             }
2022-11-23T01:32:31.3662041Z             
2022-11-23T01:32:31.3662118Z  - 
2022-11-23T01:32:31.3662256Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3662319Z             {
2022-11-23T01:32:31.3662449Z                 'guard_types': None,
2022-11-23T01:32:31.3662567Z                 'code': None,
2022-11-23T01:32:31.3662693Z                 'obj_weakref': None
2022-11-23T01:32:31.3662822Z                 'guarded_class': None
2022-11-23T01:32:31.3662893Z             }
2022-11-23T01:32:31.3662964Z             
2022-11-23T01:32:31.3663226Z [2022-11-23 01:29:42,166] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495
2022-11-23T01:32:31.3663483Z [2022-11-23 01:29:42,200] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3663736Z [2022-11-23 01:29:42,203] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3663985Z [2022-11-23 01:29:42,207] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3664355Z [2022-11-23 01:29:42,298] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpk2cnm6uvrvzmrvf53wjpehir6zvqvgwxf2og6fma3o4oednccg.py
2022-11-23T01:32:31.3664631Z [2022-11-23 01:29:42,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495
2022-11-23T01:32:31.3664877Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3665201Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3665426Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3665679Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3665964Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3666294Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3666651Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3666979Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3667360Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544> 
2022-11-23T01:32:31.3667464Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3667566Z                2 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3667670Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3667815Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.3667906Z                8 CALL_METHOD              2
2022-11-23T01:32:31.3668042Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3668165Z               12 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3668264Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3668362Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3668460Z               18 CALL_METHOD              2
2022-11-23T01:32:31.3668561Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3668653Z               22 LOAD_METHOD              1 (glu)
2022-11-23T01:32:31.3668750Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3668847Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3668943Z               28 CALL_METHOD              2
2022-11-23T01:32:31.3669041Z               30 BUILD_TUPLE              3
2022-11-23T01:32:31.3669125Z               32 RETURN_VALUE
2022-11-23T01:32:31.3669192Z  
2022-11-23T01:32:31.3669198Z 
2022-11-23T01:32:31.3669520Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545
2022-11-23T01:32:31.3669747Z [2022-11-23 01:29:42,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.3670061Z [2022-11-23 01:29:42,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3670419Z [2022-11-23 01:29:42,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T01:32:31.3670740Z [2022-11-23 01:29:42,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3671368Z [2022-11-23 01:29:42,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3671636Z [2022-11-23 01:29:42,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3671971Z [2022-11-23 01:29:42,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3672253Z [2022-11-23 01:29:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:31.3672610Z [2022-11-23 01:29:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3672969Z [2022-11-23 01:29:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3673239Z [2022-11-23 01:29:42,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3673601Z [2022-11-23 01:29:42,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3673909Z [2022-11-23 01:29:42,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:31.3674245Z [2022-11-23 01:29:42,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:31.3674621Z [2022-11-23 01:29:42,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3674924Z [2022-11-23 01:29:42,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3675178Z [2022-11-23 01:29:42,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3675599Z [2022-11-23 01:29:42,324] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544>
2022-11-23T01:32:31.3675874Z [2022-11-23 01:29:42,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3676114Z [2022-11-23 01:29:42,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3676376Z [2022-11-23 01:29:42,325] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3676627Z [2022-11-23 01:29:42,329] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3676823Z [2022-11-23 01:29:42,329] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3676968Z  __compiled_fn_506 <eval_with_key>.3132 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3677065Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3677220Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T01:32:31.3677335Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T01:32:31.3677450Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T01:32:31.3677560Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T01:32:31.3677572Z 
2022-11-23T01:32:31.3677893Z [2022-11-23 01:29:42,330] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3677996Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3678096Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3678191Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3678293Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3678387Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3678483Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3678560Z              12 RETURN_VALUE
2022-11-23T01:32:31.3678577Z 
2022-11-23T01:32:31.3678637Z  
2022-11-23T01:32:31.3678962Z [2022-11-23 01:29:42,330] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3679082Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_506)
2022-11-23T01:32:31.3679181Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3679279Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3679366Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3679461Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3679568Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3679681Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3679781Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3679864Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3679974Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3680074Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3680158Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3680260Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3680356Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3680439Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3680538Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3680622Z              32 RETURN_VALUE
2022-11-23T01:32:31.3680627Z 
2022-11-23T01:32:31.3680693Z  
2022-11-23T01:32:31.3680882Z [2022-11-23 01:29:42,331] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3680952Z  - 
2022-11-23T01:32:31.3681078Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3681152Z             {
2022-11-23T01:32:31.3681299Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3681494Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3681651Z                 'obj_weakref': None
2022-11-23T01:32:31.3681883Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3681972Z             }
2022-11-23T01:32:31.3682045Z             
2022-11-23T01:32:31.3682123Z  - 
2022-11-23T01:32:31.3682256Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3682327Z             {
2022-11-23T01:32:31.3682476Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3682590Z                 'code': None,
2022-11-23T01:32:31.3682800Z                 'obj_weakref': <weakref at 0x7f1fd8bfbd30; to 'Tensor' at 0x7f2060206ca0>
2022-11-23T01:32:31.3683059Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3683129Z             }
2022-11-23T01:32:31.3683199Z             
2022-11-23T01:32:31.3683280Z  - 
2022-11-23T01:32:31.3683419Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3683492Z             {
2022-11-23T01:32:31.3683629Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3683806Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3683932Z                 'obj_weakref': None
2022-11-23T01:32:31.3684168Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3684237Z             }
2022-11-23T01:32:31.3684307Z             
2022-11-23T01:32:31.3684384Z  - 
2022-11-23T01:32:31.3684506Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3684578Z             {
2022-11-23T01:32:31.3684721Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3684941Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3685066Z                 'obj_weakref': None
2022-11-23T01:32:31.3685292Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3685362Z             }
2022-11-23T01:32:31.3685426Z             
2022-11-23T01:32:31.3685502Z  - 
2022-11-23T01:32:31.3685643Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3685713Z             {
2022-11-23T01:32:31.3685838Z                 'guard_types': None,
2022-11-23T01:32:31.3685950Z                 'code': None,
2022-11-23T01:32:31.3686073Z                 'obj_weakref': None
2022-11-23T01:32:31.3686193Z                 'guarded_class': None
2022-11-23T01:32:31.3686266Z             }
2022-11-23T01:32:31.3686336Z             
2022-11-23T01:32:31.3686600Z [2022-11-23 01:29:42,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496
2022-11-23T01:32:31.3686852Z [2022-11-23 01:29:42,354] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.3687099Z [2022-11-23 01:29:42,357] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.3687349Z [2022-11-23 01:29:42,359] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3687354Z 
2022-11-23T01:32:31.3687462Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3687530Z import torch
2022-11-23T01:32:31.3687606Z import random
2022-11-23T01:32:31.3687730Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3687861Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3687867Z 
2022-11-23T01:32:31.3687952Z aten = torch.ops.aten
2022-11-23T01:32:31.3688094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3688194Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3688199Z 
2022-11-23T01:32:31.3688268Z import triton
2022-11-23T01:32:31.3688363Z import triton.language as tl
2022-11-23T01:32:31.3688493Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3688637Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3688643Z 
2022-11-23T01:32:31.3688647Z 
2022-11-23T01:32:31.3688840Z triton_fused_glu0 = async_compile.triton('''
2022-11-23T01:32:31.3688917Z import triton
2022-11-23T01:32:31.3689077Z import triton.language as tl
2022-11-23T01:32:31.3689194Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3689293Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3689429Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3689563Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3689568Z 
2022-11-23T01:32:31.3689949Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3690024Z @triton.jit
2022-11-23T01:32:31.3690161Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3690238Z     xnumel = 4096
2022-11-23T01:32:31.3690339Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3690470Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3690557Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3690637Z     x0 = xindex % 4
2022-11-23T01:32:31.3690719Z     x1 = (xindex // 4)
2022-11-23T01:32:31.3690792Z     x2 = xindex
2022-11-23T01:32:31.3690903Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*x1)), xmask)
2022-11-23T01:32:31.3691017Z     tmp1 = tl.load(in_ptr0 + (4 + x0 + (8*x1)), xmask)
2022-11-23T01:32:31.3691097Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3691178Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3691317Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3691406Z ''')
2022-11-23T01:32:31.3691412Z 
2022-11-23T01:32:31.3691417Z 
2022-11-23T01:32:31.3691576Z triton_fused_glu_11 = async_compile.triton('''
2022-11-23T01:32:31.3691656Z import triton
2022-11-23T01:32:31.3691752Z import triton.language as tl
2022-11-23T01:32:31.3691862Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3691967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3692108Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3692240Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3692245Z 
2022-11-23T01:32:31.3692646Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3692726Z @triton.jit
2022-11-23T01:32:31.3692885Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3692961Z     xnumel = 4096
2022-11-23T01:32:31.3693054Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3693188Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3693272Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3693351Z     x0 = xindex % 512
2022-11-23T01:32:31.3693437Z     x1 = (xindex // 512)
2022-11-23T01:32:31.3693509Z     x2 = xindex
2022-11-23T01:32:31.3693625Z     tmp0 = tl.load(in_ptr0 + (x0 + (1024*x1)), xmask)
2022-11-23T01:32:31.3693736Z     tmp1 = tl.load(in_ptr0 + (512 + x0 + (1024*x1)), xmask)
2022-11-23T01:32:31.3693824Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3693903Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3694042Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3694130Z ''')
2022-11-23T01:32:31.3694136Z 
2022-11-23T01:32:31.3694141Z 
2022-11-23T01:32:31.3694300Z triton_fused_glu_22 = async_compile.triton('''
2022-11-23T01:32:31.3694376Z import triton
2022-11-23T01:32:31.3694472Z import triton.language as tl
2022-11-23T01:32:31.3694583Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3694688Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3694825Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3694955Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3694960Z 
2022-11-23T01:32:31.3695370Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3695483Z @triton.jit
2022-11-23T01:32:31.3695623Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3695699Z     xnumel = 4096
2022-11-23T01:32:31.3695792Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3695925Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3696010Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3696088Z     x0 = xindex % 32
2022-11-23T01:32:31.3696168Z     x1 = (xindex // 32)
2022-11-23T01:32:31.3696240Z     x2 = xindex
2022-11-23T01:32:31.3696342Z     tmp0 = tl.load(in_ptr0 + (x0 + (64*x1)), xmask)
2022-11-23T01:32:31.3696458Z     tmp1 = tl.load(in_ptr0 + (32 + x0 + (64*x1)), xmask)
2022-11-23T01:32:31.3696547Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3696627Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3696768Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3696860Z ''')
2022-11-23T01:32:31.3696865Z 
2022-11-23T01:32:31.3696870Z 
2022-11-23T01:32:31.3696965Z async_compile.wait(globals())
2022-11-23T01:32:31.3697043Z del async_compile
2022-11-23T01:32:31.3697048Z 
2022-11-23T01:32:31.3697118Z def call(args):
2022-11-23T01:32:31.3697193Z     arg0_1, = args
2022-11-23T01:32:31.3697269Z     args.clear()
2022-11-23T01:32:31.3697491Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3697584Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3697727Z     triton_fused_glu0.run(arg0_1, buf0, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3697943Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3698079Z     triton_fused_glu_11.run(arg0_1, buf1, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3698296Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3698435Z     triton_fused_glu_22.run(arg0_1, buf2, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3698512Z     del arg0_1
2022-11-23T01:32:31.3698602Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3698607Z 
2022-11-23T01:32:31.3698612Z 
2022-11-23T01:32:31.3698695Z if __name__ == "__main__":
2022-11-23T01:32:31.3699183Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3699315Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3699530Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3699646Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3699651Z 
2022-11-23T01:32:31.3700020Z [2022-11-23 01:29:42,452] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/br/cbrjro3dceelytfzq3xbnrjq4rkzbww7ipiwdt4k64f6drvxdons.py
2022-11-23T01:32:31.3700300Z [2022-11-23 01:29:42,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496
2022-11-23T01:32:31.3700308Z 
2022-11-23T01:32:31.3700410Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3700485Z import torch
2022-11-23T01:32:31.3700564Z import random
2022-11-23T01:32:31.3700687Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3700814Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3700820Z 
2022-11-23T01:32:31.3700897Z aten = torch.ops.aten
2022-11-23T01:32:31.3701040Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3701141Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3701146Z 
2022-11-23T01:32:31.3701224Z import triton
2022-11-23T01:32:31.3701318Z import triton.language as tl
2022-11-23T01:32:31.3701446Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3701593Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3701598Z 
2022-11-23T01:32:31.3701694Z 
2022-11-23T01:32:31.3701854Z triton_fused_glu0 = async_compile.triton('''
2022-11-23T01:32:31.3701952Z import triton
2022-11-23T01:32:31.3702046Z import triton.language as tl
2022-11-23T01:32:31.3702162Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3702266Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3702403Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3702537Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3702544Z 
2022-11-23T01:32:31.3702935Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3703009Z @triton.jit
2022-11-23T01:32:31.3703135Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3703212Z     xnumel = 4096
2022-11-23T01:32:31.3703310Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3703443Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3703531Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3703607Z     x0 = xindex % 4
2022-11-23T01:32:31.3703688Z     x1 = (xindex // 4)
2022-11-23T01:32:31.3703753Z     x2 = xindex
2022-11-23T01:32:31.3703879Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3704011Z     tmp1 = tl.load(in_ptr0 + (4 + x0 + (8*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3704098Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3704178Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3704320Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3704406Z ''')
2022-11-23T01:32:31.3704411Z 
2022-11-23T01:32:31.3704416Z 
2022-11-23T01:32:31.3704564Z triton_fused_glu_11 = async_compile.triton('''
2022-11-23T01:32:31.3704639Z import triton
2022-11-23T01:32:31.3704732Z import triton.language as tl
2022-11-23T01:32:31.3704851Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3704954Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3705090Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3705218Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3705224Z 
2022-11-23T01:32:31.3705600Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3705667Z @triton.jit
2022-11-23T01:32:31.3705802Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3705878Z     xnumel = 4096
2022-11-23T01:32:31.3705976Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3706108Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3706193Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3706270Z     x0 = xindex % 512
2022-11-23T01:32:31.3706348Z     x1 = (xindex // 512)
2022-11-23T01:32:31.3706422Z     x2 = xindex
2022-11-23T01:32:31.3706554Z     tmp0 = tl.load(in_ptr0 + (x0 + (1024*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3706682Z     tmp1 = tl.load(in_ptr0 + (512 + x0 + (1024*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3706768Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3706846Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3706982Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3707061Z ''')
2022-11-23T01:32:31.3707066Z 
2022-11-23T01:32:31.3707081Z 
2022-11-23T01:32:31.3707230Z triton_fused_glu_22 = async_compile.triton('''
2022-11-23T01:32:31.3707305Z import triton
2022-11-23T01:32:31.3707399Z import triton.language as tl
2022-11-23T01:32:31.3707517Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3707620Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3707754Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3707922Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3707957Z 
2022-11-23T01:32:31.3708320Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.3708394Z @triton.jit
2022-11-23T01:32:31.3708530Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3708605Z     xnumel = 4096
2022-11-23T01:32:31.3708703Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3708833Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3708919Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3708989Z     x0 = xindex % 32
2022-11-23T01:32:31.3709070Z     x1 = (xindex // 32)
2022-11-23T01:32:31.3709142Z     x2 = xindex
2022-11-23T01:32:31.3709269Z     tmp0 = tl.load(in_ptr0 + (x0 + (64*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3709399Z     tmp1 = tl.load(in_ptr0 + (32 + x0 + (64*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.3709486Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:31.3709569Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.3709696Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.3709781Z ''')
2022-11-23T01:32:31.3709786Z 
2022-11-23T01:32:31.3709791Z 
2022-11-23T01:32:31.3709887Z async_compile.wait(globals())
2022-11-23T01:32:31.3709964Z del async_compile
2022-11-23T01:32:31.3709969Z 
2022-11-23T01:32:31.3710045Z def call(args):
2022-11-23T01:32:31.3710119Z     arg0_1, = args
2022-11-23T01:32:31.3710196Z     args.clear()
2022-11-23T01:32:31.3710545Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3710644Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3710800Z     triton_fused_glu0.run(arg0_1, buf0, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3711044Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3711546Z     triton_fused_glu_11.run(arg0_1, buf1, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3711761Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3711900Z     triton_fused_glu_22.run(arg0_1, buf2, 4096, grid=grid(4096), stream=stream0)
2022-11-23T01:32:31.3711973Z     del arg0_1
2022-11-23T01:32:31.3712063Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3712068Z 
2022-11-23T01:32:31.3712073Z 
2022-11-23T01:32:31.3712147Z if __name__ == "__main__":
2022-11-23T01:32:31.3712266Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3712398Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3712616Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3712729Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3712735Z 
2022-11-23T01:32:31.3712806Z ok (0.325s)
2022-11-23T01:32:31.3713125Z   test_grid_sampler_2d_cuda (__main__.CudaTests) ... [2022-11-23 01:29:42,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3713440Z [2022-11-23 01:29:42,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3713664Z [2022-11-23 01:29:42,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3713908Z [2022-11-23 01:29:42,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3714186Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3714501Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3714876Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3715216Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3715590Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053> 
2022-11-23T01:32:31.3715691Z  3055           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3715804Z                2 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:31.3715902Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3715990Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3716085Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3716180Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3716281Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:31.3716377Z               14 CALL_METHOD              5
2022-11-23T01:32:31.3716383Z 
2022-11-23T01:32:31.3716481Z 3056          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.3716594Z               18 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:31.3716687Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3716773Z               22 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3716866Z               24 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3716959Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:31.3717058Z               28 LOAD_CONST               4 (False)
2022-11-23T01:32:31.3717152Z               30 CALL_METHOD              5
2022-11-23T01:32:31.3717157Z 
2022-11-23T01:32:31.3717250Z 3054          32 BUILD_TUPLE              2
2022-11-23T01:32:31.3717331Z               34 RETURN_VALUE
2022-11-23T01:32:31.3717390Z  
2022-11-23T01:32:31.3717395Z 
2022-11-23T01:32:31.3717710Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3055
2022-11-23T01:32:31.3717932Z [2022-11-23 01:29:42,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.3718252Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3718523Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:31.3718816Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:31.3719135Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3719488Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3719883Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.3720313Z [2022-11-23 01:29:42,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.3720624Z [2022-11-23 01:29:42,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3056
2022-11-23T01:32:31.3720869Z [2022-11-23 01:29:42,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.3721230Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.3721542Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:31.3721858Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:31.3722203Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3722586Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3723060Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.3723527Z [2022-11-23 01:29:42,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.3723845Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3054
2022-11-23T01:32:31.3724122Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3724372Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3724760Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053>
2022-11-23T01:32:31.3725011Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3725239Z [2022-11-23 01:29:42,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3725498Z [2022-11-23 01:29:42,576] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3725749Z [2022-11-23 01:29:42,656] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3725941Z [2022-11-23 01:29:42,656] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3733109Z  __compiled_fn_507 <eval_with_key>.3138 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3733231Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3733326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3733490Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {}
2022-11-23T01:32:31.3733640Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {}
2022-11-23T01:32:31.3733783Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {}
2022-11-23T01:32:31.3733789Z 
2022-11-23T01:32:31.3734145Z [2022-11-23 01:29:42,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3734245Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3734343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3734439Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3734542Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3734634Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3734722Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3734868Z              12 RETURN_VALUE
2022-11-23T01:32:31.3734874Z 
2022-11-23T01:32:31.3734964Z  
2022-11-23T01:32:31.3735283Z [2022-11-23 01:29:42,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3735401Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_507)
2022-11-23T01:32:31.3735498Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3735595Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3735679Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3735767Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3735861Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3735943Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3736037Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.3736153Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3736267Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3736362Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3736440Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3736551Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3736646Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3736727Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3736820Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.3736901Z              32 RETURN_VALUE
2022-11-23T01:32:31.3736906Z 
2022-11-23T01:32:31.3736974Z  
2022-11-23T01:32:31.3737155Z [2022-11-23 01:29:42,658] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3737236Z  - 
2022-11-23T01:32:31.3737361Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3737430Z             {
2022-11-23T01:32:31.3737577Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3737768Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.3737895Z                 'obj_weakref': None
2022-11-23T01:32:31.3738118Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3738190Z             }
2022-11-23T01:32:31.3738260Z             
2022-11-23T01:32:31.3738337Z  - 
2022-11-23T01:32:31.3738466Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3738535Z             {
2022-11-23T01:32:31.3738682Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3738787Z                 'code': None,
2022-11-23T01:32:31.3739257Z                 'obj_weakref': <weakref at 0x7f201e34e3e0; to 'Tensor' at 0x7f206814fa10>
2022-11-23T01:32:31.3739508Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3739577Z             }
2022-11-23T01:32:31.3739646Z             
2022-11-23T01:32:31.3739723Z  - 
2022-11-23T01:32:31.3739851Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3739914Z             {
2022-11-23T01:32:31.3740064Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3740180Z                 'code': None,
2022-11-23T01:32:31.3740393Z                 'obj_weakref': <weakref at 0x7f1fd8354f40; to 'Tensor' at 0x7f207272ad90>
2022-11-23T01:32:31.3740650Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3740719Z             }
2022-11-23T01:32:31.3740788Z             
2022-11-23T01:32:31.3740857Z  - 
2022-11-23T01:32:31.3740993Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3741061Z             {
2022-11-23T01:32:31.3741199Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3741375Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3741499Z                 'obj_weakref': None
2022-11-23T01:32:31.3741730Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3741905Z             }
2022-11-23T01:32:31.3741976Z             
2022-11-23T01:32:31.3742082Z  - 
2022-11-23T01:32:31.3742213Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3742282Z             {
2022-11-23T01:32:31.3742423Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3742639Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3742754Z                 'obj_weakref': None
2022-11-23T01:32:31.3742976Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3743046Z             }
2022-11-23T01:32:31.3743116Z             
2022-11-23T01:32:31.3743191Z  - 
2022-11-23T01:32:31.3743326Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.3743394Z             {
2022-11-23T01:32:31.3743512Z                 'guard_types': None,
2022-11-23T01:32:31.3743625Z                 'code': None,
2022-11-23T01:32:31.3743749Z                 'obj_weakref': None
2022-11-23T01:32:31.3743878Z                 'guarded_class': None
2022-11-23T01:32:31.3743955Z             }
2022-11-23T01:32:31.3744023Z             
2022-11-23T01:32:31.3744285Z [2022-11-23 01:29:42,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497
2022-11-23T01:32:31.3744943Z [2022-11-23 01:29:43,380] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf10'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9')]
2022-11-23T01:32:31.3745151Z [2022-11-23 01:29:43,448] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8')
2022-11-23T01:32:31.3745354Z [2022-11-23 01:29:43,448] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:31.3745557Z [2022-11-23 01:29:43,448] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.3745759Z [2022-11-23 01:29:43,448] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.3745962Z [2022-11-23 01:29:43,448] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:31.3746324Z [2022-11-23 01:29:43,784] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hu/chuuselylkn7qiyehhiv3xi7qjicrlb6525d5rjy53cj4n7ln6lk.py
2022-11-23T01:32:31.3746591Z [2022-11-23 01:29:43,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497
2022-11-23T01:32:31.3746597Z 
2022-11-23T01:32:31.3746700Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3746778Z import torch
2022-11-23T01:32:31.3746847Z import random
2022-11-23T01:32:31.3746970Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3747098Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3747103Z 
2022-11-23T01:32:31.3747190Z aten = torch.ops.aten
2022-11-23T01:32:31.3747333Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3747435Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3747440Z 
2022-11-23T01:32:31.3747516Z import triton
2022-11-23T01:32:31.3747603Z import triton.language as tl
2022-11-23T01:32:31.3747733Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3747877Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3747883Z 
2022-11-23T01:32:31.3747888Z 
2022-11-23T01:32:31.3748168Z triton_fused_sub_12_lt_1_logical_and_14_logical_and_13_scalar_tensor_8_ge_sub_7_where_11_lt_2_lt_80 = async_compile.triton('''
2022-11-23T01:32:31.3748244Z import triton
2022-11-23T01:32:31.3748339Z import triton.language as tl
2022-11-23T01:32:31.3748456Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3748560Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3748690Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3748850Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3748856Z 
2022-11-23T01:32:31.3749341Z @pointwise(size_hints=[2097152], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.3749416Z @triton.jit
2022-11-23T01:32:31.3749596Z def kernel(in_out_ptr0, in_out_ptr1, in_out_ptr2, in_ptr0, in_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3749674Z     xnumel = 1486848
2022-11-23T01:32:31.3749774Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3749909Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3749989Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3750074Z     x2 = (xindex // 371712)
2022-11-23T01:32:31.3750159Z     x1 = (xindex // 123904) % 3
2022-11-23T01:32:31.3750242Z     x0 = xindex % 123904
2022-11-23T01:32:31.3750443Z     x3 = xindex
2022-11-23T01:32:31.3750577Z     tmp2 = tl.load(in_ptr0 + ((2*x0) + (247808*x2)), xmask)
2022-11-23T01:32:31.3750713Z     tmp11 = tl.load(in_ptr0 + (1 + (2*x0) + (247808*x2)), xmask)
2022-11-23T01:32:31.3750792Z     tmp0 = x2
2022-11-23T01:32:31.3750880Z     tmp1 = x1
2022-11-23T01:32:31.3750968Z     tmp3 = 175.5
2022-11-23T01:32:31.3751068Z     tmp4 = tmp2 * tmp3
2022-11-23T01:32:31.3751595Z     tmp5 = tmp4 + tmp3
2022-11-23T01:32:31.3751719Z     tmp6 = tl.libdevice.floor(tmp5)
2022-11-23T01:32:31.3751791Z     tmp7 = 0
2022-11-23T01:32:31.3751865Z     tmp8 = tmp6 >= tmp7
2022-11-23T01:32:31.3751940Z     tmp9 = 352
2022-11-23T01:32:31.3752021Z     tmp10 = tmp6 < tmp9
2022-11-23T01:32:31.3752110Z     tmp12 = tmp11 * tmp3
2022-11-23T01:32:31.3752192Z     tmp13 = tmp12 + tmp3
2022-11-23T01:32:31.3752296Z     tmp14 = tl.libdevice.floor(tmp13)
2022-11-23T01:32:31.3752391Z     tmp15 = tmp14 >= tmp7
2022-11-23T01:32:31.3752477Z     tmp16 = tmp14 < tmp9
2022-11-23T01:32:31.3752568Z     tmp17 = tmp15 & tmp16
2022-11-23T01:32:31.3752665Z     tmp18 = tmp10 & tmp17
2022-11-23T01:32:31.3752746Z     tmp19 = tmp8 & tmp18
2022-11-23T01:32:31.3752841Z     tmp20 = tmp14.to(tl.int64)
2022-11-23T01:32:31.3752947Z     tmp21 = tl.where(tmp19, tmp20, tmp7)
2022-11-23T01:32:31.3753028Z     tmp22 = tmp6.to(tl.int64)
2022-11-23T01:32:31.3753128Z     tmp23 = tl.where(tmp19, tmp22, tmp7)
2022-11-23T01:32:31.3753298Z     tmp24 = tl.load(in_ptr1 + (tmp23 + (352*tmp21) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3753371Z     tmp25 = 1
2022-11-23T01:32:31.3753454Z     tmp26 = tmp6 + tmp25
2022-11-23T01:32:31.3753572Z     tmp27 = tmp26 - tmp5
2022-11-23T01:32:31.3753653Z     tmp28 = tmp14 + tmp25
2022-11-23T01:32:31.3753759Z     tmp29 = tmp28 - tmp13
2022-11-23T01:32:31.3753841Z     tmp30 = tmp27 * tmp29
2022-11-23T01:32:31.3753940Z     tmp31 = tl.where(tmp19, tmp30, tmp7)
2022-11-23T01:32:31.3754023Z     tmp32 = tmp24 * tmp31
2022-11-23T01:32:31.3754104Z     tmp33 = tmp26 >= tmp7
2022-11-23T01:32:31.3754188Z     tmp34 = tmp26 < tmp9
2022-11-23T01:32:31.3754270Z     tmp35 = tmp34 & tmp17
2022-11-23T01:32:31.3754344Z     tmp36 = tmp33 & tmp35
2022-11-23T01:32:31.3754445Z     tmp37 = tl.where(tmp36, tmp20, tmp7)
2022-11-23T01:32:31.3754535Z     tmp38 = tmp26.to(tl.int64)
2022-11-23T01:32:31.3754633Z     tmp39 = tl.where(tmp36, tmp38, tmp7)
2022-11-23T01:32:31.3754797Z     tmp40 = tl.load(in_ptr1 + (tmp39 + (352*tmp37) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3754911Z     tmp41 = tmp5 - tmp6
2022-11-23T01:32:31.3754992Z     tmp42 = tmp41 * tmp29
2022-11-23T01:32:31.3755084Z     tmp43 = tl.where(tmp36, tmp42, tmp7)
2022-11-23T01:32:31.3755165Z     tmp44 = tmp40 * tmp43
2022-11-23T01:32:31.3755246Z     tmp45 = tmp28 >= tmp7
2022-11-23T01:32:31.3755327Z     tmp46 = tmp28 < tmp9
2022-11-23T01:32:31.3755407Z     tmp47 = tmp45 & tmp46
2022-11-23T01:32:31.3755487Z     tmp48 = tmp10 & tmp47
2022-11-23T01:32:31.3755567Z     tmp49 = tmp8 & tmp48
2022-11-23T01:32:31.3755707Z     tmp50 = tmp28.to(tl.int64)
2022-11-23T01:32:31.3755807Z     tmp51 = tl.where(tmp49, tmp50, tmp7)
2022-11-23T01:32:31.3755930Z     tmp52 = tl.where(tmp49, tmp22, tmp7)
2022-11-23T01:32:31.3756091Z     tmp53 = tl.load(in_ptr1 + (tmp52 + (352*tmp51) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3756207Z     tmp54 = tmp13 - tmp14
2022-11-23T01:32:31.3756288Z     tmp55 = tmp27 * tmp54
2022-11-23T01:32:31.3756387Z     tmp56 = tl.where(tmp49, tmp55, tmp7)
2022-11-23T01:32:31.3756460Z     tmp57 = tmp53 * tmp56
2022-11-23T01:32:31.3756541Z     tmp58 = tmp34 & tmp47
2022-11-23T01:32:31.3756620Z     tmp59 = tmp33 & tmp58
2022-11-23T01:32:31.3756717Z     tmp60 = tl.where(tmp59, tmp50, tmp7)
2022-11-23T01:32:31.3756818Z     tmp61 = tl.where(tmp59, tmp38, tmp7)
2022-11-23T01:32:31.3756983Z     tmp62 = tl.load(in_ptr1 + (tmp61 + (352*tmp60) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3757065Z     tmp63 = tmp32 + tmp44
2022-11-23T01:32:31.3757141Z     tmp64 = tmp63 + tmp57
2022-11-23T01:32:31.3757222Z     tmp65 = tmp41 * tmp54
2022-11-23T01:32:31.3757319Z     tmp66 = tl.where(tmp59, tmp65, tmp7)
2022-11-23T01:32:31.3757399Z     tmp67 = tmp62 * tmp66
2022-11-23T01:32:31.3757482Z     tmp68 = tmp64 + tmp67
2022-11-23T01:32:31.3757556Z     tmp69 = 176.0
2022-11-23T01:32:31.3757637Z     tmp70 = tmp2 * tmp69
2022-11-23T01:32:31.3757710Z     tmp71 = tmp70 + tmp3
2022-11-23T01:32:31.3757785Z     tmp72 = 0.0
2022-11-23T01:32:31.3757882Z     tmp73 = tl.maximum(tmp71, tmp72)
2022-11-23T01:32:31.3757956Z     tmp74 = 351.0
2022-11-23T01:32:31.3758052Z     tmp75 = tl.minimum(tmp73, tmp74)
2022-11-23T01:32:31.3758155Z     tmp76 = tl.libdevice.floor(tmp75)
2022-11-23T01:32:31.3758239Z     tmp77 = tmp76 >= tmp7
2022-11-23T01:32:31.3758312Z     tmp78 = tmp76 < tmp9
2022-11-23T01:32:31.3758392Z     tmp79 = tmp11 * tmp69
2022-11-23T01:32:31.3758472Z     tmp80 = tmp79 + tmp3
2022-11-23T01:32:31.3758566Z     tmp81 = tl.maximum(tmp80, tmp72)
2022-11-23T01:32:31.3758662Z     tmp82 = tl.minimum(tmp81, tmp74)
2022-11-23T01:32:31.3758765Z     tmp83 = tl.libdevice.floor(tmp82)
2022-11-23T01:32:31.3758838Z     tmp84 = tmp83 >= tmp7
2022-11-23T01:32:31.3758918Z     tmp85 = tmp83 < tmp9
2022-11-23T01:32:31.3758997Z     tmp86 = tmp84 & tmp85
2022-11-23T01:32:31.3759077Z     tmp87 = tmp78 & tmp86
2022-11-23T01:32:31.3759160Z     tmp88 = tmp77 & tmp87
2022-11-23T01:32:31.3759249Z     tmp89 = tmp83.to(tl.int64)
2022-11-23T01:32:31.3759348Z     tmp90 = tl.where(tmp88, tmp89, tmp7)
2022-11-23T01:32:31.3759429Z     tmp91 = tmp76.to(tl.int64)
2022-11-23T01:32:31.3759528Z     tmp92 = tl.where(tmp88, tmp91, tmp7)
2022-11-23T01:32:31.3759688Z     tmp93 = tl.load(in_ptr1 + (tmp92 + (352*tmp90) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3759770Z     tmp94 = tmp76 + tmp25
2022-11-23T01:32:31.3759851Z     tmp95 = tmp94 >= tmp7
2022-11-23T01:32:31.3759932Z     tmp96 = tmp94 < tmp9
2022-11-23T01:32:31.3760012Z     tmp97 = tmp96 & tmp86
2022-11-23T01:32:31.3760087Z     tmp98 = tmp95 & tmp97
2022-11-23T01:32:31.3760188Z     tmp99 = tl.where(tmp98, tmp89, tmp7)
2022-11-23T01:32:31.3760278Z     tmp100 = tmp94.to(tl.int64)
2022-11-23T01:32:31.3760384Z     tmp101 = tl.where(tmp98, tmp100, tmp7)
2022-11-23T01:32:31.3760554Z     tmp102 = tl.load(in_ptr1 + (tmp101 + (352*tmp99) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3760675Z     tmp103 = tmp94 - tmp75
2022-11-23T01:32:31.3760759Z     tmp104 = tmp83 + tmp25
2022-11-23T01:32:31.3760869Z     tmp105 = tmp104 - tmp82
2022-11-23T01:32:31.3760953Z     tmp106 = tmp103 * tmp105
2022-11-23T01:32:31.3761057Z     tmp107 = tl.where(tmp88, tmp106, tmp7)
2022-11-23T01:32:31.3761140Z     tmp108 = tmp93 * tmp107
2022-11-23T01:32:31.3761255Z     tmp109 = tmp75 - tmp76
2022-11-23T01:32:31.3761338Z     tmp110 = tmp109 * tmp105
2022-11-23T01:32:31.3761443Z     tmp111 = tl.where(tmp98, tmp110, tmp7)
2022-11-23T01:32:31.3761518Z     tmp112 = tmp102 * tmp111
2022-11-23T01:32:31.3761632Z     tmp113 = tmp108 + tmp112
2022-11-23T01:32:31.3761737Z     tmp114 = tmp104 >= tmp7
2022-11-23T01:32:31.3761820Z     tmp115 = tmp104 < tmp9
2022-11-23T01:32:31.3761902Z     tmp116 = tmp114 & tmp115
2022-11-23T01:32:31.3761985Z     tmp117 = tmp78 & tmp116
2022-11-23T01:32:31.3762067Z     tmp118 = tmp77 & tmp117
2022-11-23T01:32:31.3762151Z     tmp119 = tmp104.to(tl.int64)
2022-11-23T01:32:31.3762256Z     tmp120 = tl.where(tmp118, tmp119, tmp7)
2022-11-23T01:32:31.3762359Z     tmp121 = tl.where(tmp118, tmp91, tmp7)
2022-11-23T01:32:31.3762531Z     tmp122 = tl.load(in_ptr1 + (tmp121 + (352*tmp120) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3762612Z     tmp123 = tmp96 & tmp116
2022-11-23T01:32:31.3762698Z     tmp124 = tmp95 & tmp123
2022-11-23T01:32:31.3762804Z     tmp125 = tl.where(tmp124, tmp119, tmp7)
2022-11-23T01:32:31.3762901Z     tmp126 = tl.where(tmp124, tmp100, tmp7)
2022-11-23T01:32:31.3763069Z     tmp127 = tl.load(in_ptr1 + (tmp126 + (352*tmp125) + (123904*tmp1) + (371712*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.3763189Z     tmp128 = tmp82 - tmp83
2022-11-23T01:32:31.3763275Z     tmp129 = tmp103 * tmp128
2022-11-23T01:32:31.3763376Z     tmp130 = tl.where(tmp118, tmp129, tmp7)
2022-11-23T01:32:31.3763458Z     tmp131 = tmp122 * tmp130
2022-11-23T01:32:31.3763540Z     tmp132 = tmp113 + tmp131
2022-11-23T01:32:31.3763615Z     tmp133 = tmp109 * tmp128
2022-11-23T01:32:31.3763717Z     tmp134 = tl.where(tmp124, tmp133, tmp7)
2022-11-23T01:32:31.3763799Z     tmp135 = tmp127 * tmp134
2022-11-23T01:32:31.3763882Z     tmp136 = tmp132 + tmp135
2022-11-23T01:32:31.3764024Z     tl.store(in_out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp68, xmask)
2022-11-23T01:32:31.3764167Z     tl.store(in_out_ptr2 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp136, xmask)
2022-11-23T01:32:31.3764256Z ''')
2022-11-23T01:32:31.3764263Z 
2022-11-23T01:32:31.3764268Z 
2022-11-23T01:32:31.3764366Z async_compile.wait(globals())
2022-11-23T01:32:31.3764439Z del async_compile
2022-11-23T01:32:31.3764445Z 
2022-11-23T01:32:31.3764524Z def call(args):
2022-11-23T01:32:31.3764606Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.3764682Z     args.clear()
2022-11-23T01:32:31.3764916Z     buf3 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3765009Z     buf10 = buf3; del buf3  # reuse
2022-11-23T01:32:31.3765239Z     buf4 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3765323Z     buf6 = buf4; del buf4  # reuse
2022-11-23T01:32:31.3765554Z     buf7 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3765644Z     buf9 = buf7; del buf7  # reuse
2022-11-23T01:32:31.3765737Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3765966Z     triton_fused_sub_12_lt_1_logical_and_14_logical_and_13_scalar_tensor_8_ge_sub_7_where_11_lt_2_lt_80.run(buf10, buf6, buf9, arg1_1, arg0_1, 1486848, grid=grid(1486848), stream=stream0)
2022-11-23T01:32:31.3766043Z     del arg0_1
2022-11-23T01:32:31.3766115Z     del arg1_1
2022-11-23T01:32:31.3766199Z     return (buf10, buf9, )
2022-11-23T01:32:31.3766204Z 
2022-11-23T01:32:31.3766209Z 
2022-11-23T01:32:31.3766283Z if __name__ == "__main__":
2022-11-23T01:32:31.3766405Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3766536Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3766769Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3766996Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3767121Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.3767126Z 
2022-11-23T01:32:31.3767200Z ok (1.333s)
2022-11-23T01:32:31.3767549Z   test_hardsigmoid_cuda (__main__.CudaTests) ... [2022-11-23 01:29:43,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3767890Z [2022-11-23 01:29:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3768106Z [2022-11-23 01:29:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3768363Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3768642Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3768960Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3769302Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3769627Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3770003Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620> 
2022-11-23T01:32:31.3770109Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3770224Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3770315Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3770415Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3770514Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3770625Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3770719Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3770819Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3770900Z               16 BINARY_ADD
2022-11-23T01:32:31.3770997Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3771086Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3771196Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3771291Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3771386Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3771473Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3771568Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3771663Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3771738Z               34 RETURN_VALUE
2022-11-23T01:32:31.3771805Z  
2022-11-23T01:32:31.3771810Z 
2022-11-23T01:32:31.3772129Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621
2022-11-23T01:32:31.3772351Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3772762Z [2022-11-23 01:29:43,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3773057Z [2022-11-23 01:29:43,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3773385Z [2022-11-23 01:29:43,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3773626Z [2022-11-23 01:29:43,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3774089Z [2022-11-23 01:29:43,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3774428Z [2022-11-23 01:29:43,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3774770Z [2022-11-23 01:29:43,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3775164Z [2022-11-23 01:29:43,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3775514Z [2022-11-23 01:29:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3775782Z [2022-11-23 01:29:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3776250Z [2022-11-23 01:29:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3776598Z [2022-11-23 01:29:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3776970Z [2022-11-23 01:29:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3777395Z [2022-11-23 01:29:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3777772Z [2022-11-23 01:29:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3778069Z [2022-11-23 01:29:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3778317Z [2022-11-23 01:29:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3778691Z [2022-11-23 01:29:43,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620>
2022-11-23T01:32:31.3779401Z [2022-11-23 01:29:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3779636Z [2022-11-23 01:29:43,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3779897Z [2022-11-23 01:29:43,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3780152Z [2022-11-23 01:29:43,813] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3780346Z [2022-11-23 01:29:43,813] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3780489Z  __compiled_fn_508 <eval_with_key>.3144 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3780585Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3780743Z call_function, hardsigmoid, <function hardsigmoid at 0x7f2073d575b0>, (ex_0_,), {}
2022-11-23T01:32:31.3780919Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:31.3781066Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7f2073d575b0>, (add,), {}
2022-11-23T01:32:31.3781239Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:31.3781390Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7f2073d575b0>, (sub,), {}
2022-11-23T01:32:31.3781647Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T01:32:31.3781681Z 
2022-11-23T01:32:31.3782064Z [2022-11-23 01:29:43,814] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3782168Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3782267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3782363Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3782467Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3782555Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3782653Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3782737Z              12 RETURN_VALUE
2022-11-23T01:32:31.3782743Z 
2022-11-23T01:32:31.3782810Z  
2022-11-23T01:32:31.3783183Z [2022-11-23 01:29:43,814] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3783307Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_508)
2022-11-23T01:32:31.3783407Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3783501Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3783588Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3783685Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3783801Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3783916Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3784015Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3784101Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3784206Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3784307Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3784392Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3784508Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3784607Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3784700Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3784798Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3784881Z              32 RETURN_VALUE
2022-11-23T01:32:31.3784886Z 
2022-11-23T01:32:31.3784945Z  
2022-11-23T01:32:31.3785155Z [2022-11-23 01:29:43,814] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3785233Z  - 
2022-11-23T01:32:31.3785372Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3785442Z             {
2022-11-23T01:32:31.3785602Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3785813Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3785941Z                 'obj_weakref': None
2022-11-23T01:32:31.3786196Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3786266Z             }
2022-11-23T01:32:31.3786338Z             
2022-11-23T01:32:31.3786417Z  - 
2022-11-23T01:32:31.3786562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3786632Z             {
2022-11-23T01:32:31.3786786Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3786912Z                 'code': None,
2022-11-23T01:32:31.3787153Z                 'obj_weakref': <weakref at 0x7f1fd9b9b0b0; to 'Tensor' at 0x7f1fd9b22110>
2022-11-23T01:32:31.3787436Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3787507Z             }
2022-11-23T01:32:31.3787578Z             
2022-11-23T01:32:31.3787655Z  - 
2022-11-23T01:32:31.3787795Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3787864Z             {
2022-11-23T01:32:31.3788016Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3788208Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3788374Z                 'obj_weakref': None
2022-11-23T01:32:31.3788634Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3788725Z             }
2022-11-23T01:32:31.3788787Z             
2022-11-23T01:32:31.3788866Z  - 
2022-11-23T01:32:31.3789004Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3789076Z             {
2022-11-23T01:32:31.3789230Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3789473Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3789607Z                 'obj_weakref': None
2022-11-23T01:32:31.3789850Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3789919Z             }
2022-11-23T01:32:31.3789988Z             
2022-11-23T01:32:31.3790066Z  - 
2022-11-23T01:32:31.3790207Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3790406Z             {
2022-11-23T01:32:31.3790547Z                 'guard_types': None,
2022-11-23T01:32:31.3790682Z                 'code': None,
2022-11-23T01:32:31.3790824Z                 'obj_weakref': None
2022-11-23T01:32:31.3790969Z                 'guarded_class': None
2022-11-23T01:32:31.3791051Z             }
2022-11-23T01:32:31.3791148Z             
2022-11-23T01:32:31.3791424Z [2022-11-23 01:29:43,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498
2022-11-23T01:32:31.3791757Z [2022-11-23 01:29:43,849] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3792112Z [2022-11-23 01:29:43,924] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z7/cz7zsnimwtrxi24dksf4d7x6afnyk5bgao5ggzdklxdy55mxwm25.py
2022-11-23T01:32:31.3792382Z [2022-11-23 01:29:43,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498
2022-11-23T01:32:31.3792626Z [2022-11-23 01:29:43,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3792943Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3793167Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3793425Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3793704Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3794024Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3794368Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3794688Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3795051Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620> 
2022-11-23T01:32:31.3795153Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3795269Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3795366Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3795461Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3795560Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3795671Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3795765Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3795892Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3796018Z               16 BINARY_ADD
2022-11-23T01:32:31.3796113Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3796209Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3796320Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:31.3796414Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3796509Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3796587Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3796685Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3796780Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3796863Z               34 RETURN_VALUE
2022-11-23T01:32:31.3796927Z  
2022-11-23T01:32:31.3796933Z 
2022-11-23T01:32:31.3797251Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621
2022-11-23T01:32:31.3797470Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3797881Z [2022-11-23 01:29:43,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3798170Z [2022-11-23 01:29:43,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3798497Z [2022-11-23 01:29:43,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3798739Z [2022-11-23 01:29:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3799177Z [2022-11-23 01:29:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3799499Z [2022-11-23 01:29:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3799849Z [2022-11-23 01:29:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3800240Z [2022-11-23 01:29:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3800588Z [2022-11-23 01:29:43,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3800858Z [2022-11-23 01:29:43,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3801322Z [2022-11-23 01:29:43,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3801666Z [2022-11-23 01:29:43,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>)]
2022-11-23T01:32:31.3802037Z [2022-11-23 01:29:43,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3802469Z [2022-11-23 01:29:43,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3802916Z [2022-11-23 01:29:43,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f2073d575b0>), TensorVariable()]
2022-11-23T01:32:31.3803230Z [2022-11-23 01:29:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3803484Z [2022-11-23 01:29:43,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3803863Z [2022-11-23 01:29:43,943] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadf20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620>
2022-11-23T01:32:31.3804107Z [2022-11-23 01:29:43,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3804346Z [2022-11-23 01:29:43,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3804608Z [2022-11-23 01:29:43,944] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3804868Z [2022-11-23 01:29:43,956] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3805062Z [2022-11-23 01:29:43,956] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3805203Z  __compiled_fn_509 <eval_with_key>.3150 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3805290Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3805448Z call_function, hardsigmoid, <function hardsigmoid at 0x7f2073d575b0>, (ex_0_,), {}
2022-11-23T01:32:31.3805624Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:31.3805777Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7f2073d575b0>, (add,), {}
2022-11-23T01:32:31.3805952Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:31.3806101Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7f2073d575b0>, (sub,), {}
2022-11-23T01:32:31.3806253Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T01:32:31.3806259Z 
2022-11-23T01:32:31.3806582Z [2022-11-23 01:29:43,956] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3806681Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3806771Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3806864Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3806964Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3807058Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3807153Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3807238Z              12 RETURN_VALUE
2022-11-23T01:32:31.3807243Z 
2022-11-23T01:32:31.3807308Z  
2022-11-23T01:32:31.3807628Z [2022-11-23 01:29:43,957] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3807747Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_509)
2022-11-23T01:32:31.3807843Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3807939Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3808024Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3808117Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3808230Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3808338Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3808427Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3808508Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3808615Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3808710Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3808794Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3808940Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3809055Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3809129Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3809223Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3809305Z              32 RETURN_VALUE
2022-11-23T01:32:31.3809311Z 
2022-11-23T01:32:31.3809375Z  
2022-11-23T01:32:31.3809564Z [2022-11-23 01:29:43,957] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3809639Z  - 
2022-11-23T01:32:31.3809764Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3809825Z             {
2022-11-23T01:32:31.3809971Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3810161Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3810285Z                 'obj_weakref': None
2022-11-23T01:32:31.3810512Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3810583Z             }
2022-11-23T01:32:31.3810655Z             
2022-11-23T01:32:31.3810724Z  - 
2022-11-23T01:32:31.3810852Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3810920Z             {
2022-11-23T01:32:31.3811067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3811177Z                 'code': None,
2022-11-23T01:32:31.3811393Z                 'obj_weakref': <weakref at 0x7f1fd9bce8e0; to 'Tensor' at 0x7f1fe819f010>
2022-11-23T01:32:31.3811643Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3811705Z             }
2022-11-23T01:32:31.3811774Z             
2022-11-23T01:32:31.3811850Z  - 
2022-11-23T01:32:31.3811983Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3812050Z             {
2022-11-23T01:32:31.3812187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3812358Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3812478Z                 'obj_weakref': None
2022-11-23T01:32:31.3812708Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3812777Z             }
2022-11-23T01:32:31.3812846Z             
2022-11-23T01:32:31.3812920Z  - 
2022-11-23T01:32:31.3813047Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3813117Z             {
2022-11-23T01:32:31.3813249Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3813464Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3813586Z                 'obj_weakref': None
2022-11-23T01:32:31.3813806Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3813874Z             }
2022-11-23T01:32:31.3813943Z             
2022-11-23T01:32:31.3814019Z  - 
2022-11-23T01:32:31.3814139Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3814211Z             {
2022-11-23T01:32:31.3814335Z                 'guard_types': None,
2022-11-23T01:32:31.3814451Z                 'code': None,
2022-11-23T01:32:31.3814573Z                 'obj_weakref': None
2022-11-23T01:32:31.3814698Z                 'guarded_class': None
2022-11-23T01:32:31.3814766Z             }
2022-11-23T01:32:31.3814826Z             
2022-11-23T01:32:31.3815085Z [2022-11-23 01:29:43,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499
2022-11-23T01:32:31.3815416Z [2022-11-23 01:29:44,002] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3815777Z [2022-11-23 01:29:44,084] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/63/c63bo74wdjwth62zmseepyc6urrjgnezlfnnpkbxailzngm6b26e.py
2022-11-23T01:32:31.3816043Z [2022-11-23 01:29:44,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499
2022-11-23T01:32:31.3816088Z 
2022-11-23T01:32:31.3816189Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3816285Z import torch
2022-11-23T01:32:31.3816359Z import random
2022-11-23T01:32:31.3816474Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3816604Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3816609Z 
2022-11-23T01:32:31.3816693Z aten = torch.ops.aten
2022-11-23T01:32:31.3816836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3816935Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3816940Z 
2022-11-23T01:32:31.3817020Z import triton
2022-11-23T01:32:31.3817112Z import triton.language as tl
2022-11-23T01:32:31.3817239Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3817376Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3817382Z 
2022-11-23T01:32:31.3817386Z 
2022-11-23T01:32:31.3817695Z triton_fused_lift_fresh_copy_3_lift_fresh_copy_div_add_3_minimum_1_lift_fresh_copy_4_add_add_2_maximum_1_maximum0 = async_compile.triton('''
2022-11-23T01:32:31.3817774Z import triton
2022-11-23T01:32:31.3817867Z import triton.language as tl
2022-11-23T01:32:31.3817982Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3818085Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3818223Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3818349Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3818355Z 
2022-11-23T01:32:31.3818749Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3819349Z @triton.jit
2022-11-23T01:32:31.3819511Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3819586Z     xnumel = 64
2022-11-23T01:32:31.3819690Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3819826Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3819910Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3819983Z     x0 = xindex
2022-11-23T01:32:31.3820074Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3820147Z     tmp1 = 3
2022-11-23T01:32:31.3820225Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3820298Z     tmp3 = 0.0
2022-11-23T01:32:31.3820392Z     tmp4 = tl.maximum(tmp2, tmp3)
2022-11-23T01:32:31.3820468Z     tmp5 = 6.0
2022-11-23T01:32:31.3820553Z     tmp6 = tl.minimum(tmp4, tmp5)
2022-11-23T01:32:31.3820623Z     tmp7 = 6
2022-11-23T01:32:31.3820701Z     tmp8 = tmp6 / tmp7
2022-11-23T01:32:31.3820781Z     tmp9 = tmp2 + tmp1
2022-11-23T01:32:31.3820873Z     tmp10 = tl.maximum(tmp9, tmp3)
2022-11-23T01:32:31.3820966Z     tmp11 = tl.minimum(tmp10, tmp5)
2022-11-23T01:32:31.3821047Z     tmp12 = tmp11 / tmp7
2022-11-23T01:32:31.3821159Z     tmp13 = tmp0 - tmp1
2022-11-23T01:32:31.3821242Z     tmp14 = tmp13 + tmp1
2022-11-23T01:32:31.3821339Z     tmp15 = tl.maximum(tmp14, tmp3)
2022-11-23T01:32:31.3821430Z     tmp16 = tl.minimum(tmp15, tmp5)
2022-11-23T01:32:31.3821511Z     tmp17 = tmp16 / tmp7
2022-11-23T01:32:31.3821649Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.3821789Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.3821919Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.3822006Z ''')
2022-11-23T01:32:31.3822012Z 
2022-11-23T01:32:31.3822016Z 
2022-11-23T01:32:31.3822109Z async_compile.wait(globals())
2022-11-23T01:32:31.3822187Z del async_compile
2022-11-23T01:32:31.3822192Z 
2022-11-23T01:32:31.3822266Z def call(args):
2022-11-23T01:32:31.3822340Z     arg0_1, = args
2022-11-23T01:32:31.3822416Z     args.clear()
2022-11-23T01:32:31.3822615Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3822908Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3823128Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3823222Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3823464Z     triton_fused_lift_fresh_copy_3_lift_fresh_copy_div_add_3_minimum_1_lift_fresh_copy_4_add_add_2_maximum_1_maximum0.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3823540Z     del arg0_1
2022-11-23T01:32:31.3823628Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3823633Z 
2022-11-23T01:32:31.3823638Z 
2022-11-23T01:32:31.3823718Z if __name__ == "__main__":
2022-11-23T01:32:31.3823837Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3823958Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3824159Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3824274Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3824281Z 
2022-11-23T01:32:31.3824289Z 
2022-11-23T01:32:31.3824386Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3824460Z import torch
2022-11-23T01:32:31.3824535Z import random
2022-11-23T01:32:31.3824656Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3824773Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3824786Z 
2022-11-23T01:32:31.3824861Z aten = torch.ops.aten
2022-11-23T01:32:31.3825002Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3825100Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3825105Z 
2022-11-23T01:32:31.3825180Z import triton
2022-11-23T01:32:31.3825272Z import triton.language as tl
2022-11-23T01:32:31.3825400Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3825543Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3825548Z 
2022-11-23T01:32:31.3825553Z 
2022-11-23T01:32:31.3825867Z triton_fused__to_copy_maximum_1_maximum_2_div_1_lift_fresh_copy_3_div_2_lift_fresh_copy_5_sub_lift_fresh_copy_2_minimum_10 = async_compile.triton('''
2022-11-23T01:32:31.3825938Z import triton
2022-11-23T01:32:31.3826030Z import triton.language as tl
2022-11-23T01:32:31.3826146Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3826249Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3826386Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3826512Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3826517Z 
2022-11-23T01:32:31.3826915Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3826988Z @triton.jit
2022-11-23T01:32:31.3827137Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3827212Z     xnumel = 64
2022-11-23T01:32:31.3827311Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3827444Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3827528Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3827600Z     x0 = xindex
2022-11-23T01:32:31.3827720Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3827803Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.3827874Z     tmp2 = 3
2022-11-23T01:32:31.3827953Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.3828026Z     tmp4 = 0.0
2022-11-23T01:32:31.3828119Z     tmp5 = tl.maximum(tmp3, tmp4)
2022-11-23T01:32:31.3828192Z     tmp6 = 6.0
2022-11-23T01:32:31.3828284Z     tmp7 = tl.minimum(tmp5, tmp6)
2022-11-23T01:32:31.3828348Z     tmp8 = 6
2022-11-23T01:32:31.3828426Z     tmp9 = tmp7 / tmp8
2022-11-23T01:32:31.3828514Z     tmp10 = tmp9.to(tl.float32)
2022-11-23T01:32:31.3828594Z     tmp11 = tmp0 + tmp2
2022-11-23T01:32:31.3828683Z     tmp12 = tmp11.to(tl.float32)
2022-11-23T01:32:31.3828795Z     tmp13 = tmp12 + tmp2
2022-11-23T01:32:31.3828901Z     tmp14 = tl.maximum(tmp13, tmp4)
2022-11-23T01:32:31.3828995Z     tmp15 = tl.minimum(tmp14, tmp6)
2022-11-23T01:32:31.3829075Z     tmp16 = tmp15 / tmp8
2022-11-23T01:32:31.3829167Z     tmp17 = tmp16.to(tl.float32)
2022-11-23T01:32:31.3829280Z     tmp18 = tmp0 - tmp2
2022-11-23T01:32:31.3829368Z     tmp19 = tmp18.to(tl.float32)
2022-11-23T01:32:31.3829448Z     tmp20 = tmp19 + tmp2
2022-11-23T01:32:31.3829533Z     tmp21 = tl.maximum(tmp20, tmp4)
2022-11-23T01:32:31.3829625Z     tmp22 = tl.minimum(tmp21, tmp6)
2022-11-23T01:32:31.3829705Z     tmp23 = tmp22 / tmp8
2022-11-23T01:32:31.3829792Z     tmp24 = tmp23.to(tl.float32)
2022-11-23T01:32:31.3829931Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.3830066Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.3830199Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp24, xmask)
2022-11-23T01:32:31.3830389Z ''')
2022-11-23T01:32:31.3830406Z 
2022-11-23T01:32:31.3830416Z 
2022-11-23T01:32:31.3830503Z async_compile.wait(globals())
2022-11-23T01:32:31.3830581Z del async_compile
2022-11-23T01:32:31.3830587Z 
2022-11-23T01:32:31.3830662Z def call(args):
2022-11-23T01:32:31.3830736Z     arg0_1, = args
2022-11-23T01:32:31.3830812Z     args.clear()
2022-11-23T01:32:31.3831008Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3831201Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3831382Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3831474Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3831715Z     triton_fused__to_copy_maximum_1_maximum_2_div_1_lift_fresh_copy_3_div_2_lift_fresh_copy_5_sub_lift_fresh_copy_2_minimum_10.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3831788Z     del arg0_1
2022-11-23T01:32:31.3831877Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3831884Z 
2022-11-23T01:32:31.3831889Z 
2022-11-23T01:32:31.3831970Z if __name__ == "__main__":
2022-11-23T01:32:31.3832092Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3832222Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3832412Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3832527Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3832532Z 
2022-11-23T01:32:31.3832607Z ok (0.298s)
2022-11-23T01:32:31.3832918Z   test_hardswish_cuda (__main__.CudaTests) ... [2022-11-23 01:29:44,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3833236Z [2022-11-23 01:29:44,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3833460Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3833720Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3834004Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3834328Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3834677Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3834997Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3835408Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629> 
2022-11-23T01:32:31.3835532Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3835642Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3835740Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3835835Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3835932Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3836038Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3836125Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3836219Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3836296Z               16 BINARY_ADD
2022-11-23T01:32:31.3836390Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3836487Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3836593Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3836692Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3836781Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3836867Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3836960Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3837056Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3837137Z               34 RETURN_VALUE
2022-11-23T01:32:31.3837202Z  
2022-11-23T01:32:31.3837208Z 
2022-11-23T01:32:31.3837523Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630
2022-11-23T01:32:31.3837741Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3838140Z [2022-11-23 01:29:44,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3838434Z [2022-11-23 01:29:44,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3838756Z [2022-11-23 01:29:44,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3838999Z [2022-11-23 01:29:44,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3839428Z [2022-11-23 01:29:44,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3839741Z [2022-11-23 01:29:44,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3840084Z [2022-11-23 01:29:44,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3840469Z [2022-11-23 01:29:44,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3840815Z [2022-11-23 01:29:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3841083Z [2022-11-23 01:29:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3841538Z [2022-11-23 01:29:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3841908Z [2022-11-23 01:29:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3842319Z [2022-11-23 01:29:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3842727Z [2022-11-23 01:29:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3843100Z [2022-11-23 01:29:44,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3843397Z [2022-11-23 01:29:44,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3843647Z [2022-11-23 01:29:44,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3844024Z [2022-11-23 01:29:44,101] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629>
2022-11-23T01:32:31.3844269Z [2022-11-23 01:29:44,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3844507Z [2022-11-23 01:29:44,101] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3844764Z [2022-11-23 01:29:44,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3845018Z [2022-11-23 01:29:44,113] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3845210Z [2022-11-23 01:29:44,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3845346Z  __compiled_fn_510 <eval_with_key>.3156 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3845444Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3845594Z call_function, hardswish, <function hardswish at 0x7f2073d57760>, (ex_0_,), {}
2022-11-23T01:32:31.3845768Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:31.3845915Z call_function, hardswish_1, <function hardswish at 0x7f2073d57760>, (add,), {}
2022-11-23T01:32:31.3846087Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:31.3846232Z call_function, hardswish_2, <function hardswish at 0x7f2073d57760>, (sub,), {}
2022-11-23T01:32:31.3846376Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T01:32:31.3846382Z 
2022-11-23T01:32:31.3846704Z [2022-11-23 01:29:44,113] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3846799Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3846900Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3846997Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3847098Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3847189Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3847282Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3847362Z              12 RETURN_VALUE
2022-11-23T01:32:31.3847367Z 
2022-11-23T01:32:31.3847425Z  
2022-11-23T01:32:31.3847741Z [2022-11-23 01:29:44,113] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3847857Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_510)
2022-11-23T01:32:31.3847953Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3848050Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3848134Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3848254Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3848390Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3848491Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3848585Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3848669Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3848781Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3848877Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3848956Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3849063Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3849151Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3849232Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3849324Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3849405Z              32 RETURN_VALUE
2022-11-23T01:32:31.3849410Z 
2022-11-23T01:32:31.3849476Z  
2022-11-23T01:32:31.3849665Z [2022-11-23 01:29:44,114] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3849743Z  - 
2022-11-23T01:32:31.3849859Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3849928Z             {
2022-11-23T01:32:31.3850076Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3850269Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3850392Z                 'obj_weakref': None
2022-11-23T01:32:31.3850616Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3850685Z             }
2022-11-23T01:32:31.3850745Z             
2022-11-23T01:32:31.3850823Z  - 
2022-11-23T01:32:31.3850950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3851018Z             {
2022-11-23T01:32:31.3851165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3851276Z                 'code': None,
2022-11-23T01:32:31.3851492Z                 'obj_weakref': <weakref at 0x7f1fd82ee8e0; to 'Tensor' at 0x7f207277cbd0>
2022-11-23T01:32:31.3851736Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3851804Z             }
2022-11-23T01:32:31.3851872Z             
2022-11-23T01:32:31.3851947Z  - 
2022-11-23T01:32:31.3852082Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3852151Z             {
2022-11-23T01:32:31.3852290Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3852455Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3852579Z                 'obj_weakref': None
2022-11-23T01:32:31.3852809Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3852877Z             }
2022-11-23T01:32:31.3852945Z             
2022-11-23T01:32:31.3853018Z  - 
2022-11-23T01:32:31.3853144Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3853204Z             {
2022-11-23T01:32:31.3853346Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3853565Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3853687Z                 'obj_weakref': None
2022-11-23T01:32:31.3853908Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3853975Z             }
2022-11-23T01:32:31.3854043Z             
2022-11-23T01:32:31.3854111Z  - 
2022-11-23T01:32:31.3854238Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3854307Z             {
2022-11-23T01:32:31.3854432Z                 'guard_types': None,
2022-11-23T01:32:31.3854542Z                 'code': None,
2022-11-23T01:32:31.3854662Z                 'obj_weakref': None
2022-11-23T01:32:31.3854788Z                 'guarded_class': None
2022-11-23T01:32:31.3854849Z             }
2022-11-23T01:32:31.3854915Z             
2022-11-23T01:32:31.3855210Z [2022-11-23 01:29:44,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500
2022-11-23T01:32:31.3855561Z [2022-11-23 01:29:44,153] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3855920Z [2022-11-23 01:29:44,230] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6v/c6vqs4xkbic6p56eemoz7vx5yd3hhe3vcnaphaw2mikjxee6ndex.py
2022-11-23T01:32:31.3856187Z [2022-11-23 01:29:44,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500
2022-11-23T01:32:31.3856425Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3856745Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3856967Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3857224Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3857508Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3857832Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3858180Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3858505Z [2022-11-23 01:29:44,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3859291Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629> 
2022-11-23T01:32:31.3859401Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3859510Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3859608Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3859696Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3859794Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3859900Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3859994Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3860088Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3860165Z               16 BINARY_ADD
2022-11-23T01:32:31.3860260Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3860348Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3860452Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:31.3860547Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3860646Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:31.3860732Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3860826Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3860921Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3860995Z               34 RETURN_VALUE
2022-11-23T01:32:31.3861061Z  
2022-11-23T01:32:31.3861067Z 
2022-11-23T01:32:31.3861389Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630
2022-11-23T01:32:31.3861609Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3862018Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3862413Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3862769Z [2022-11-23 01:29:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3863012Z [2022-11-23 01:29:44,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3863443Z [2022-11-23 01:29:44,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3863757Z [2022-11-23 01:29:44,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3864102Z [2022-11-23 01:29:44,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3864483Z [2022-11-23 01:29:44,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3864831Z [2022-11-23 01:29:44,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3865098Z [2022-11-23 01:29:44,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3865553Z [2022-11-23 01:29:44,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3865897Z [2022-11-23 01:29:44,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>)]
2022-11-23T01:32:31.3866266Z [2022-11-23 01:29:44,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3866683Z [2022-11-23 01:29:44,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3867054Z [2022-11-23 01:29:44,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f2073d57760>), TensorVariable()]
2022-11-23T01:32:31.3867347Z [2022-11-23 01:29:44,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3867594Z [2022-11-23 01:29:44,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3867966Z [2022-11-23 01:29:44,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629>
2022-11-23T01:32:31.3868210Z [2022-11-23 01:29:44,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3868445Z [2022-11-23 01:29:44,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3868693Z [2022-11-23 01:29:44,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3868943Z [2022-11-23 01:29:44,267] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3869133Z [2022-11-23 01:29:44,267] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3869305Z  __compiled_fn_511 <eval_with_key>.3162 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3869422Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3869571Z call_function, hardswish, <function hardswish at 0x7f2073d57760>, (ex_0_,), {}
2022-11-23T01:32:31.3869747Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:31.3869894Z call_function, hardswish_1, <function hardswish at 0x7f2073d57760>, (add,), {}
2022-11-23T01:32:31.3870059Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:31.3870203Z call_function, hardswish_2, <function hardswish at 0x7f2073d57760>, (sub,), {}
2022-11-23T01:32:31.3870453Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T01:32:31.3870460Z 
2022-11-23T01:32:31.3870833Z [2022-11-23 01:29:44,268] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3870938Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3871037Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3871140Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3871239Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3871323Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3871418Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3871498Z              12 RETURN_VALUE
2022-11-23T01:32:31.3871503Z 
2022-11-23T01:32:31.3871567Z  
2022-11-23T01:32:31.3871891Z [2022-11-23 01:29:44,268] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3872009Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_511)
2022-11-23T01:32:31.3872106Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3872206Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3872281Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3872376Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3872488Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3872596Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3872691Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3872771Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3872882Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3872970Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3873052Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3873157Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3873251Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3873333Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3873427Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3873510Z              32 RETURN_VALUE
2022-11-23T01:32:31.3873515Z 
2022-11-23T01:32:31.3873573Z  
2022-11-23T01:32:31.3873760Z [2022-11-23 01:29:44,269] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3873839Z  - 
2022-11-23T01:32:31.3873962Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3874033Z             {
2022-11-23T01:32:31.3874175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3874370Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3874486Z                 'obj_weakref': None
2022-11-23T01:32:31.3874712Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3874780Z             }
2022-11-23T01:32:31.3874848Z             
2022-11-23T01:32:31.3874925Z  - 
2022-11-23T01:32:31.3875052Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3875121Z             {
2022-11-23T01:32:31.3875260Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3875371Z                 'code': None,
2022-11-23T01:32:31.3875621Z                 'obj_weakref': <weakref at 0x7f1fd8370040; to 'Tensor' at 0x7f20726fe430>
2022-11-23T01:32:31.3875895Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3875963Z             }
2022-11-23T01:32:31.3876031Z             
2022-11-23T01:32:31.3876108Z  - 
2022-11-23T01:32:31.3876234Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3876301Z             {
2022-11-23T01:32:31.3876439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3876611Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3876735Z                 'obj_weakref': None
2022-11-23T01:32:31.3876963Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3877032Z             }
2022-11-23T01:32:31.3877093Z             
2022-11-23T01:32:31.3877169Z  - 
2022-11-23T01:32:31.3877293Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3877362Z             {
2022-11-23T01:32:31.3877509Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3877725Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3877846Z                 'obj_weakref': None
2022-11-23T01:32:31.3878060Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3878128Z             }
2022-11-23T01:32:31.3878196Z             
2022-11-23T01:32:31.3878271Z  - 
2022-11-23T01:32:31.3878402Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3878470Z             {
2022-11-23T01:32:31.3878594Z                 'guard_types': None,
2022-11-23T01:32:31.3878696Z                 'code': None,
2022-11-23T01:32:31.3878817Z                 'obj_weakref': None
2022-11-23T01:32:31.3878941Z                 'guarded_class': None
2022-11-23T01:32:31.3879010Z             }
2022-11-23T01:32:31.3879078Z             
2022-11-23T01:32:31.3879341Z [2022-11-23 01:29:44,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501
2022-11-23T01:32:31.3879675Z [2022-11-23 01:29:44,321] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3880036Z [2022-11-23 01:29:44,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpoqzwvdmoryzy6uj6t3mofyrptgac5f3pwxsczfbkvairtbl3dc.py
2022-11-23T01:32:31.3880302Z [2022-11-23 01:29:44,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501
2022-11-23T01:32:31.3880308Z 
2022-11-23T01:32:31.3880411Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3880487Z import torch
2022-11-23T01:32:31.3880561Z import random
2022-11-23T01:32:31.3880682Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3880811Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3880816Z 
2022-11-23T01:32:31.3880898Z aten = torch.ops.aten
2022-11-23T01:32:31.3881035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3881134Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3881140Z 
2022-11-23T01:32:31.3881214Z import triton
2022-11-23T01:32:31.3881307Z import triton.language as tl
2022-11-23T01:32:31.3881434Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3881577Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3881583Z 
2022-11-23T01:32:31.3881587Z 
2022-11-23T01:32:31.3881896Z triton_fused_maximum_minimum_2_lift_fresh_copy_lift_fresh_copy_5_lift_fresh_copy_2_div_1_add_maximum_1_minimum_mul_20 = async_compile.triton('''
2022-11-23T01:32:31.3881970Z import triton
2022-11-23T01:32:31.3882062Z import triton.language as tl
2022-11-23T01:32:31.3882171Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3882275Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3882411Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3882575Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3882621Z 
2022-11-23T01:32:31.3883028Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3883101Z @triton.jit
2022-11-23T01:32:31.3883256Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3883332Z     xnumel = 64
2022-11-23T01:32:31.3883424Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3883556Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3883643Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3883715Z     x0 = xindex
2022-11-23T01:32:31.3883816Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3883887Z     tmp1 = 3
2022-11-23T01:32:31.3883959Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.3884034Z     tmp3 = 0.0
2022-11-23T01:32:31.3884130Z     tmp4 = tl.maximum(tmp2, tmp3)
2022-11-23T01:32:31.3884204Z     tmp5 = 6.0
2022-11-23T01:32:31.3884296Z     tmp6 = tl.minimum(tmp4, tmp5)
2022-11-23T01:32:31.3884377Z     tmp7 = tmp0 * tmp6
2022-11-23T01:32:31.3884450Z     tmp8 = 6
2022-11-23T01:32:31.3884520Z     tmp9 = tmp7 / tmp8
2022-11-23T01:32:31.3884601Z     tmp10 = tmp2 + tmp1
2022-11-23T01:32:31.3884700Z     tmp11 = tl.maximum(tmp10, tmp3)
2022-11-23T01:32:31.3884793Z     tmp12 = tl.minimum(tmp11, tmp5)
2022-11-23T01:32:31.3884875Z     tmp13 = tmp2 * tmp12
2022-11-23T01:32:31.3884954Z     tmp14 = tmp13 / tmp8
2022-11-23T01:32:31.3885065Z     tmp15 = tmp0 - tmp1
2022-11-23T01:32:31.3885138Z     tmp16 = tmp15 + tmp1
2022-11-23T01:32:31.3885229Z     tmp17 = tl.maximum(tmp16, tmp3)
2022-11-23T01:32:31.3885328Z     tmp18 = tl.minimum(tmp17, tmp5)
2022-11-23T01:32:31.3885410Z     tmp19 = tmp15 * tmp18
2022-11-23T01:32:31.3885489Z     tmp20 = tmp19 / tmp8
2022-11-23T01:32:31.3885632Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.3885772Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.3885900Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp20, xmask)
2022-11-23T01:32:31.3885986Z ''')
2022-11-23T01:32:31.3885993Z 
2022-11-23T01:32:31.3885997Z 
2022-11-23T01:32:31.3886090Z async_compile.wait(globals())
2022-11-23T01:32:31.3886171Z del async_compile
2022-11-23T01:32:31.3886177Z 
2022-11-23T01:32:31.3886253Z def call(args):
2022-11-23T01:32:31.3886326Z     arg0_1, = args
2022-11-23T01:32:31.3886401Z     args.clear()
2022-11-23T01:32:31.3886591Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3886788Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3886977Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3887067Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3887311Z     triton_fused_maximum_minimum_2_lift_fresh_copy_lift_fresh_copy_5_lift_fresh_copy_2_div_1_add_maximum_1_minimum_mul_20.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3887388Z     del arg0_1
2022-11-23T01:32:31.3887474Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3887479Z 
2022-11-23T01:32:31.3887484Z 
2022-11-23T01:32:31.3887563Z if __name__ == "__main__":
2022-11-23T01:32:31.3887684Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3887805Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3888001Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3888116Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3888121Z 
2022-11-23T01:32:31.3888125Z 
2022-11-23T01:32:31.3888224Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3888296Z import torch
2022-11-23T01:32:31.3888371Z import random
2022-11-23T01:32:31.3888526Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3888687Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3888699Z 
2022-11-23T01:32:31.3888774Z aten = torch.ops.aten
2022-11-23T01:32:31.3888916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3889012Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3889017Z 
2022-11-23T01:32:31.3889095Z import triton
2022-11-23T01:32:31.3889187Z import triton.language as tl
2022-11-23T01:32:31.3889315Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3889459Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3889464Z 
2022-11-23T01:32:31.3889469Z 
2022-11-23T01:32:31.3889775Z triton_fused__to_copy_1_minimum_1_lift_fresh_copy_5_lift_fresh_copy_1__to_copy_4_div_1_div__to_copy_3_add_2__to_copy_20 = async_compile.triton('''
2022-11-23T01:32:31.3889844Z import triton
2022-11-23T01:32:31.3889936Z import triton.language as tl
2022-11-23T01:32:31.3890053Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3890161Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3890297Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3890425Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3890430Z 
2022-11-23T01:32:31.3890828Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3890905Z @triton.jit
2022-11-23T01:32:31.3891051Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3891125Z     xnumel = 64
2022-11-23T01:32:31.3891224Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3891357Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3891440Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3891514Z     x0 = xindex
2022-11-23T01:32:31.3891634Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3891719Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.3891790Z     tmp2 = 3
2022-11-23T01:32:31.3891869Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.3891942Z     tmp4 = 0.0
2022-11-23T01:32:31.3892036Z     tmp5 = tl.maximum(tmp3, tmp4)
2022-11-23T01:32:31.3892109Z     tmp6 = 6.0
2022-11-23T01:32:31.3892202Z     tmp7 = tl.minimum(tmp5, tmp6)
2022-11-23T01:32:31.3892274Z     tmp8 = tmp1 * tmp7
2022-11-23T01:32:31.3892346Z     tmp9 = 6
2022-11-23T01:32:31.3892424Z     tmp10 = tmp8 / tmp9
2022-11-23T01:32:31.3892514Z     tmp11 = tmp10.to(tl.float32)
2022-11-23T01:32:31.3892592Z     tmp12 = tmp0 + tmp2
2022-11-23T01:32:31.3892679Z     tmp13 = tmp12.to(tl.float32)
2022-11-23T01:32:31.3892752Z     tmp14 = tmp13 + tmp2
2022-11-23T01:32:31.3892846Z     tmp15 = tl.maximum(tmp14, tmp4)
2022-11-23T01:32:31.3892936Z     tmp16 = tl.minimum(tmp15, tmp6)
2022-11-23T01:32:31.3893019Z     tmp17 = tmp13 * tmp16
2022-11-23T01:32:31.3893103Z     tmp18 = tmp17 / tmp9
2022-11-23T01:32:31.3893194Z     tmp19 = tmp18.to(tl.float32)
2022-11-23T01:32:31.3893306Z     tmp20 = tmp0 - tmp2
2022-11-23T01:32:31.3893386Z     tmp21 = tmp20.to(tl.float32)
2022-11-23T01:32:31.3893466Z     tmp22 = tmp21 + tmp2
2022-11-23T01:32:31.3893557Z     tmp23 = tl.maximum(tmp22, tmp4)
2022-11-23T01:32:31.3893648Z     tmp24 = tl.minimum(tmp23, tmp6)
2022-11-23T01:32:31.3893728Z     tmp25 = tmp21 * tmp24
2022-11-23T01:32:31.3893807Z     tmp26 = tmp25 / tmp9
2022-11-23T01:32:31.3893901Z     tmp27 = tmp26.to(tl.float32)
2022-11-23T01:32:31.3894034Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.3894170Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:31.3894306Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp27, xmask)
2022-11-23T01:32:31.3894393Z ''')
2022-11-23T01:32:31.3894398Z 
2022-11-23T01:32:31.3894403Z 
2022-11-23T01:32:31.3894531Z async_compile.wait(globals())
2022-11-23T01:32:31.3894631Z del async_compile
2022-11-23T01:32:31.3894637Z 
2022-11-23T01:32:31.3894711Z def call(args):
2022-11-23T01:32:31.3894786Z     arg0_1, = args
2022-11-23T01:32:31.3894854Z     args.clear()
2022-11-23T01:32:31.3895055Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3895250Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3895437Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3895528Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3895765Z     triton_fused__to_copy_1_minimum_1_lift_fresh_copy_5_lift_fresh_copy_1__to_copy_4_div_1_div__to_copy_3_add_2__to_copy_20.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3895838Z     del arg0_1
2022-11-23T01:32:31.3895918Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3895930Z 
2022-11-23T01:32:31.3895935Z 
2022-11-23T01:32:31.3896010Z if __name__ == "__main__":
2022-11-23T01:32:31.3896137Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3896269Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3896466Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3896579Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3896585Z 
2022-11-23T01:32:31.3896655Z ok (0.321s)
2022-11-23T01:32:31.3896965Z   test_hardtanh_cuda (__main__.CudaTests) ... [2022-11-23 01:29:44,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3897280Z [2022-11-23 01:29:44,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3897495Z [2022-11-23 01:29:44,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3897754Z [2022-11-23 01:29:44,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3898035Z [2022-11-23 01:29:44,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3898355Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3898695Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3899348Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3899723Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611> 
2022-11-23T01:32:31.3899828Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3899940Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3900038Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3900125Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3900223Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3900329Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3900424Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3900521Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3900599Z               16 BINARY_ADD
2022-11-23T01:32:31.3900695Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3900785Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3900888Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3900982Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3901165Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3901315Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3901409Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3901507Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3901582Z               34 RETURN_VALUE
2022-11-23T01:32:31.3901647Z  
2022-11-23T01:32:31.3901653Z 
2022-11-23T01:32:31.3901970Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612
2022-11-23T01:32:31.3902189Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3902595Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3902888Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3903211Z [2022-11-23 01:29:44,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3903455Z [2022-11-23 01:29:44,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3903883Z [2022-11-23 01:29:44,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3904195Z [2022-11-23 01:29:44,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3904527Z [2022-11-23 01:29:44,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3904910Z [2022-11-23 01:29:44,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3905260Z [2022-11-23 01:29:44,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3905528Z [2022-11-23 01:29:44,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3905982Z [2022-11-23 01:29:44,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3906321Z [2022-11-23 01:29:44,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3906687Z [2022-11-23 01:29:44,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3907102Z [2022-11-23 01:29:44,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3907473Z [2022-11-23 01:29:44,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3907772Z [2022-11-23 01:29:44,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3908050Z [2022-11-23 01:29:44,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3908421Z [2022-11-23 01:29:44,418] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611>
2022-11-23T01:32:31.3908697Z [2022-11-23 01:29:44,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3908927Z [2022-11-23 01:29:44,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3909188Z [2022-11-23 01:29:44,419] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3909442Z [2022-11-23 01:29:44,425] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3909637Z [2022-11-23 01:29:44,425] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3909780Z  __compiled_fn_512 <eval_with_key>.3168 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3909876Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3910025Z call_function, hardtanh, <function hardtanh at 0x7f2073d56b90>, (ex_0_,), {}
2022-11-23T01:32:31.3910202Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.3910467Z call_function, hardtanh_1, <function hardtanh at 0x7f2073d56b90>, (add,), {}
2022-11-23T01:32:31.3910664Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:31.3910819Z call_function, hardtanh_2, <function hardtanh at 0x7f2073d56b90>, (sub,), {}
2022-11-23T01:32:31.3910973Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T01:32:31.3910980Z 
2022-11-23T01:32:31.3911579Z [2022-11-23 01:29:44,425] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3911680Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3911777Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3911874Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3911972Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3912064Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3912161Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3912243Z              12 RETURN_VALUE
2022-11-23T01:32:31.3912248Z 
2022-11-23T01:32:31.3912314Z  
2022-11-23T01:32:31.3912637Z [2022-11-23 01:29:44,425] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3912752Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_512)
2022-11-23T01:32:31.3912849Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3912937Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3913019Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3913113Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3913227Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3913338Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3913435Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3913515Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3913615Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3913709Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3913791Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3913898Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3913991Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3914074Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3914165Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3914238Z              32 RETURN_VALUE
2022-11-23T01:32:31.3914251Z 
2022-11-23T01:32:31.3914308Z  
2022-11-23T01:32:31.3914495Z [2022-11-23 01:29:44,426] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3914569Z  - 
2022-11-23T01:32:31.3914732Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3914822Z             {
2022-11-23T01:32:31.3914966Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3915155Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3915270Z                 'obj_weakref': None
2022-11-23T01:32:31.3915495Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3915563Z             }
2022-11-23T01:32:31.3915630Z             
2022-11-23T01:32:31.3915706Z  - 
2022-11-23T01:32:31.3915833Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3915894Z             {
2022-11-23T01:32:31.3916039Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3916150Z                 'code': None,
2022-11-23T01:32:31.3916363Z                 'obj_weakref': <weakref at 0x7f201e6b6520; to 'Tensor' at 0x7f2151f019e0>
2022-11-23T01:32:31.3916615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3916689Z             }
2022-11-23T01:32:31.3916761Z             
2022-11-23T01:32:31.3916836Z  - 
2022-11-23T01:32:31.3916963Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3917033Z             {
2022-11-23T01:32:31.3917172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3917345Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3917470Z                 'obj_weakref': None
2022-11-23T01:32:31.3917702Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3917770Z             }
2022-11-23T01:32:31.3917831Z             
2022-11-23T01:32:31.3917905Z  - 
2022-11-23T01:32:31.3918034Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3918103Z             {
2022-11-23T01:32:31.3918245Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3918464Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3918590Z                 'obj_weakref': None
2022-11-23T01:32:31.3918806Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3918875Z             }
2022-11-23T01:32:31.3918943Z             
2022-11-23T01:32:31.3919017Z  - 
2022-11-23T01:32:31.3919148Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3919220Z             {
2022-11-23T01:32:31.3919337Z                 'guard_types': None,
2022-11-23T01:32:31.3919449Z                 'code': None,
2022-11-23T01:32:31.3919571Z                 'obj_weakref': None
2022-11-23T01:32:31.3919696Z                 'guarded_class': None
2022-11-23T01:32:31.3919765Z             }
2022-11-23T01:32:31.3919832Z             
2022-11-23T01:32:31.3920094Z [2022-11-23 01:29:44,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502
2022-11-23T01:32:31.3920430Z [2022-11-23 01:29:44,454] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3920786Z [2022-11-23 01:29:44,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j4/cj43xowbfqtczgpkeeg6ol3323byi2nw5olqd6mcj3tecumhhpxp.py
2022-11-23T01:32:31.3921050Z [2022-11-23 01:29:44,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502
2022-11-23T01:32:31.3921288Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3921607Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3921832Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3922127Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3922430Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3922755Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3923103Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3923426Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3923795Z [2022-11-23 01:29:44,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611> 
2022-11-23T01:32:31.3923900Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3924010Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3924108Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3924204Z                6 CALL_METHOD              1
2022-11-23T01:32:31.3924302Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3924408Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3924501Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3924588Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3924668Z               16 BINARY_ADD
2022-11-23T01:32:31.3924761Z               18 CALL_METHOD              1
2022-11-23T01:32:31.3924856Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.3924963Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:31.3925056Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.3925149Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.3925229Z               28 BINARY_SUBTRACT
2022-11-23T01:32:31.3925325Z               30 CALL_METHOD              1
2022-11-23T01:32:31.3925419Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.3925499Z               34 RETURN_VALUE
2022-11-23T01:32:31.3925563Z  
2022-11-23T01:32:31.3925569Z 
2022-11-23T01:32:31.3925884Z [2022-11-23 01:29:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612
2022-11-23T01:32:31.3926102Z [2022-11-23 01:29:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.3926507Z [2022-11-23 01:29:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3926796Z [2022-11-23 01:29:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3927117Z [2022-11-23 01:29:44,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3927362Z [2022-11-23 01:29:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.3927794Z [2022-11-23 01:29:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3928107Z [2022-11-23 01:29:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3928450Z [2022-11-23 01:29:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3928868Z [2022-11-23 01:29:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3929234Z [2022-11-23 01:29:44,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3929502Z [2022-11-23 01:29:44,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3929958Z [2022-11-23 01:29:44,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.3930299Z [2022-11-23 01:29:44,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>)]
2022-11-23T01:32:31.3930674Z [2022-11-23 01:29:44,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3931104Z [2022-11-23 01:29:44,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.3931475Z [2022-11-23 01:29:44,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f2073d56b90>), TensorVariable()]
2022-11-23T01:32:31.3931773Z [2022-11-23 01:29:44,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3932024Z [2022-11-23 01:29:44,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3932404Z [2022-11-23 01:29:44,538] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611>
2022-11-23T01:32:31.3932652Z [2022-11-23 01:29:44,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3932888Z [2022-11-23 01:29:44,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3933143Z [2022-11-23 01:29:44,539] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3933394Z [2022-11-23 01:29:44,545] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3933588Z [2022-11-23 01:29:44,545] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3933730Z  __compiled_fn_513 <eval_with_key>.3174 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3933820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3933967Z call_function, hardtanh, <function hardtanh at 0x7f2073d56b90>, (ex_0_,), {}
2022-11-23T01:32:31.3934144Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.3934285Z call_function, hardtanh_1, <function hardtanh at 0x7f2073d56b90>, (add,), {}
2022-11-23T01:32:31.3934455Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:31.3934600Z call_function, hardtanh_2, <function hardtanh at 0x7f2073d56b90>, (sub,), {}
2022-11-23T01:32:31.3934738Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T01:32:31.3934744Z 
2022-11-23T01:32:31.3935069Z [2022-11-23 01:29:44,546] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3935162Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3935259Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3935377Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3935480Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3935614Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3935709Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3935790Z              12 RETURN_VALUE
2022-11-23T01:32:31.3935796Z 
2022-11-23T01:32:31.3935861Z  
2022-11-23T01:32:31.3936173Z [2022-11-23 01:29:44,546] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3936291Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_513)
2022-11-23T01:32:31.3936387Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3936483Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3936566Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3936659Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.3936771Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3936875Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3936975Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3937057Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.3937163Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3937259Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3937339Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.3937447Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3937535Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3937616Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3937709Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.3937790Z              32 RETURN_VALUE
2022-11-23T01:32:31.3937796Z 
2022-11-23T01:32:31.3937860Z  
2022-11-23T01:32:31.3938046Z [2022-11-23 01:29:44,547] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3938122Z  - 
2022-11-23T01:32:31.3938247Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3938308Z             {
2022-11-23T01:32:31.3938456Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3938650Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.3938772Z                 'obj_weakref': None
2022-11-23T01:32:31.3939284Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3939354Z             }
2022-11-23T01:32:31.3939423Z             
2022-11-23T01:32:31.3939493Z  - 
2022-11-23T01:32:31.3939621Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3939689Z             {
2022-11-23T01:32:31.3939834Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3939946Z                 'code': None,
2022-11-23T01:32:31.3940165Z                 'obj_weakref': <weakref at 0x7f1fd97da4d0; to 'Tensor' at 0x7f1fd8cc60c0>
2022-11-23T01:32:31.3940420Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3940485Z             }
2022-11-23T01:32:31.3940553Z             
2022-11-23T01:32:31.3940628Z  - 
2022-11-23T01:32:31.3940763Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3940831Z             {
2022-11-23T01:32:31.3940970Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3941146Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3941263Z                 'obj_weakref': None
2022-11-23T01:32:31.3941496Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3941566Z             }
2022-11-23T01:32:31.3941634Z             
2022-11-23T01:32:31.3941710Z  - 
2022-11-23T01:32:31.3941835Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3941899Z             {
2022-11-23T01:32:31.3942039Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3942346Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3942497Z                 'obj_weakref': None
2022-11-23T01:32:31.3942721Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3942790Z             }
2022-11-23T01:32:31.3942857Z             
2022-11-23T01:32:31.3942932Z  - 
2022-11-23T01:32:31.3943053Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.3943121Z             {
2022-11-23T01:32:31.3943246Z                 'guard_types': None,
2022-11-23T01:32:31.3943356Z                 'code': None,
2022-11-23T01:32:31.3943482Z                 'obj_weakref': None
2022-11-23T01:32:31.3943605Z                 'guarded_class': None
2022-11-23T01:32:31.3943666Z             }
2022-11-23T01:32:31.3943734Z             
2022-11-23T01:32:31.3943995Z [2022-11-23 01:29:44,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503
2022-11-23T01:32:31.3944329Z [2022-11-23 01:29:44,581] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3944698Z [2022-11-23 01:29:44,653] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uq/cuqcnjoeqz4a63xaggwwwiw5w3nejtnc2kqkboushvebf2fhyb56.py
2022-11-23T01:32:31.3944964Z [2022-11-23 01:29:44,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503
2022-11-23T01:32:31.3944970Z 
2022-11-23T01:32:31.3945068Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3945144Z import torch
2022-11-23T01:32:31.3945218Z import random
2022-11-23T01:32:31.3945333Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3945461Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3945466Z 
2022-11-23T01:32:31.3945549Z aten = torch.ops.aten
2022-11-23T01:32:31.3945690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3945790Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3945795Z 
2022-11-23T01:32:31.3945870Z import triton
2022-11-23T01:32:31.3945965Z import triton.language as tl
2022-11-23T01:32:31.3946086Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3946231Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3946237Z 
2022-11-23T01:32:31.3946242Z 
2022-11-23T01:32:31.3946563Z triton_fused_maximum_1_lift_fresh_copy_2_lift_fresh_copy_4_maximum_add_minimum_sub_lift_fresh_copy_minimum_1_lift_fresh_copy_50 = async_compile.triton('''
2022-11-23T01:32:31.3946639Z import triton
2022-11-23T01:32:31.3946731Z import triton.language as tl
2022-11-23T01:32:31.3946846Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3946947Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3947082Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3947203Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3947215Z 
2022-11-23T01:32:31.3947612Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3947692Z @triton.jit
2022-11-23T01:32:31.3947848Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3947922Z     xnumel = 64
2022-11-23T01:32:31.3948021Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3948153Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3948236Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3948302Z     x0 = xindex
2022-11-23T01:32:31.3948399Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.3948500Z     tmp1 = -1.0
2022-11-23T01:32:31.3948593Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:31.3948665Z     tmp3 = 1.0
2022-11-23T01:32:31.3948758Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:31.3948862Z     tmp5 = 1
2022-11-23T01:32:31.3948935Z     tmp6 = tmp0 + tmp5
2022-11-23T01:32:31.3949054Z     tmp7 = tl.maximum(tmp6, tmp1)
2022-11-23T01:32:31.3949145Z     tmp8 = tl.minimum(tmp7, tmp3)
2022-11-23T01:32:31.3949254Z     tmp9 = tmp0 - tmp5
2022-11-23T01:32:31.3949346Z     tmp10 = tl.maximum(tmp9, tmp1)
2022-11-23T01:32:31.3949442Z     tmp11 = tl.minimum(tmp10, tmp3)
2022-11-23T01:32:31.3949583Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.3949712Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.3949849Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.3949936Z ''')
2022-11-23T01:32:31.3949941Z 
2022-11-23T01:32:31.3949946Z 
2022-11-23T01:32:31.3950041Z async_compile.wait(globals())
2022-11-23T01:32:31.3950119Z del async_compile
2022-11-23T01:32:31.3950124Z 
2022-11-23T01:32:31.3950199Z def call(args):
2022-11-23T01:32:31.3950360Z     arg0_1, = args
2022-11-23T01:32:31.3950448Z     args.clear()
2022-11-23T01:32:31.3950644Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3950840Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3951031Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3951122Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3951374Z     triton_fused_maximum_1_lift_fresh_copy_2_lift_fresh_copy_4_maximum_add_minimum_sub_lift_fresh_copy_minimum_1_lift_fresh_copy_50.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3951448Z     del arg0_1
2022-11-23T01:32:31.3951540Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3951545Z 
2022-11-23T01:32:31.3951549Z 
2022-11-23T01:32:31.3951630Z if __name__ == "__main__":
2022-11-23T01:32:31.3951742Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3951873Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3952078Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.3952196Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3952201Z 
2022-11-23T01:32:31.3952205Z 
2022-11-23T01:32:31.3952305Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.3952384Z import torch
2022-11-23T01:32:31.3952480Z import random
2022-11-23T01:32:31.3952606Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.3952746Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.3952752Z 
2022-11-23T01:32:31.3952834Z aten = torch.ops.aten
2022-11-23T01:32:31.3952975Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.3953072Z async_compile = AsyncCompile()
2022-11-23T01:32:31.3953077Z 
2022-11-23T01:32:31.3953154Z import triton
2022-11-23T01:32:31.3953247Z import triton.language as tl
2022-11-23T01:32:31.3953375Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.3953516Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.3953524Z 
2022-11-23T01:32:31.3953535Z 
2022-11-23T01:32:31.3953918Z triton_fused_lift_fresh_copy_minimum_lift_fresh_copy_1_convert_element_type_convert_element_type_2_maximum_1_lift_fresh_copy_4_convert_element_type_3_maximum_2_minimum_10 = async_compile.triton('''
2022-11-23T01:32:31.3953993Z import triton
2022-11-23T01:32:31.3954087Z import triton.language as tl
2022-11-23T01:32:31.3954204Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.3954308Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.3954444Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.3954572Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.3954577Z 
2022-11-23T01:32:31.3955015Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.3955105Z @triton.jit
2022-11-23T01:32:31.3955262Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.3955336Z     xnumel = 64
2022-11-23T01:32:31.3955434Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.3955566Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.3955651Z     xmask = xindex < xnumel
2022-11-23T01:32:31.3955722Z     x0 = xindex
2022-11-23T01:32:31.3955834Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.3955924Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.3956027Z     tmp2 = -1.0
2022-11-23T01:32:31.3956122Z     tmp3 = tl.maximum(tmp1, tmp2)
2022-11-23T01:32:31.3956197Z     tmp4 = 1.0
2022-11-23T01:32:31.3956289Z     tmp5 = tl.minimum(tmp3, tmp4)
2022-11-23T01:32:31.3956377Z     tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:31.3956441Z     tmp7 = 1
2022-11-23T01:32:31.3956521Z     tmp8 = tmp0 + tmp7
2022-11-23T01:32:31.3956610Z     tmp9 = tmp8.to(tl.float32)
2022-11-23T01:32:31.3956706Z     tmp10 = tl.maximum(tmp9, tmp2)
2022-11-23T01:32:31.3956803Z     tmp11 = tl.minimum(tmp10, tmp4)
2022-11-23T01:32:31.3956892Z     tmp12 = tmp11.to(tl.float32)
2022-11-23T01:32:31.3957004Z     tmp13 = tmp0 - tmp7
2022-11-23T01:32:31.3957087Z     tmp14 = tmp13.to(tl.float32)
2022-11-23T01:32:31.3957181Z     tmp15 = tl.maximum(tmp14, tmp2)
2022-11-23T01:32:31.3957272Z     tmp16 = tl.minimum(tmp15, tmp4)
2022-11-23T01:32:31.3957359Z     tmp17 = tmp16.to(tl.float32)
2022-11-23T01:32:31.3957497Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.3957634Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.3957770Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.3957848Z ''')
2022-11-23T01:32:31.3957853Z 
2022-11-23T01:32:31.3957858Z 
2022-11-23T01:32:31.3957952Z async_compile.wait(globals())
2022-11-23T01:32:31.3958031Z del async_compile
2022-11-23T01:32:31.3958039Z 
2022-11-23T01:32:31.3958119Z def call(args):
2022-11-23T01:32:31.3958195Z     arg0_1, = args
2022-11-23T01:32:31.3958270Z     args.clear()
2022-11-23T01:32:31.3958467Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3958661Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3958844Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3958935Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.3959224Z     triton_fused_lift_fresh_copy_minimum_lift_fresh_copy_1_convert_element_type_convert_element_type_2_maximum_1_lift_fresh_copy_4_convert_element_type_3_maximum_2_minimum_10.run(arg0_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.3959298Z     del arg0_1
2022-11-23T01:32:31.3959386Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.3959391Z 
2022-11-23T01:32:31.3959396Z 
2022-11-23T01:32:31.3959482Z if __name__ == "__main__":
2022-11-23T01:32:31.3959604Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.3959734Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.3959922Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.3960036Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.3960041Z 
2022-11-23T01:32:31.3960114Z ok (0.248s)
2022-11-23T01:32:31.3960434Z   test_horizonal_fusion1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3960749Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3960970Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3961258Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3961562Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3961880Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3962220Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3962540Z [2022-11-23 01:29:44,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3962907Z [2022-11-23 01:29:44,660] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688> 
2022-11-23T01:32:31.3963008Z  689           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3963108Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3963187Z               4 BINARY_ADD
2022-11-23T01:32:31.3963289Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3963383Z               8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3963467Z              10 BINARY_SUBTRACT
2022-11-23T01:32:31.3963555Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3963646Z              14 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3963734Z              16 BINARY_MULTIPLY
2022-11-23T01:32:31.3963830Z              18 BUILD_TUPLE              3
2022-11-23T01:32:31.3963912Z              20 RETURN_VALUE
2022-11-23T01:32:31.3963980Z  
2022-11-23T01:32:31.3963986Z 
2022-11-23T01:32:31.3964296Z [2022-11-23 01:29:44,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689
2022-11-23T01:32:31.3964506Z [2022-11-23 01:29:44,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.3964751Z [2022-11-23 01:29:44,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.3965028Z [2022-11-23 01:29:44,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3965264Z [2022-11-23 01:29:44,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.3965528Z [2022-11-23 01:29:44,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3965832Z [2022-11-23 01:29:44,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3966095Z [2022-11-23 01:29:44,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3966390Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3966724Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3967018Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3967258Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3967637Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688>
2022-11-23T01:32:31.3967887Z [2022-11-23 01:29:44,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3968153Z [2022-11-23 01:29:44,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3968442Z [2022-11-23 01:29:44,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3968695Z [2022-11-23 01:29:44,667] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3968891Z [2022-11-23 01:29:44,667] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3969034Z  __compiled_fn_514 <eval_with_key>.3180 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3969129Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3969214Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3969305Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.3969490Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3969673Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T01:32:31.3969857Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T01:32:31.3969969Z output, output, output, ((add, sub, mul),), {}
2022-11-23T01:32:31.3969978Z 
2022-11-23T01:32:31.3970305Z [2022-11-23 01:29:44,668] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3970406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3970497Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3970590Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3970688Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3970778Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3970873Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3970955Z              12 RETURN_VALUE
2022-11-23T01:32:31.3970960Z 
2022-11-23T01:32:31.3971026Z  
2022-11-23T01:32:31.3971346Z [2022-11-23 01:29:44,668] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3971468Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_514)
2022-11-23T01:32:31.3971565Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3971662Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3971745Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3971841Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3971938Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3972020Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3972107Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3972200Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3972280Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.3972375Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.3972487Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3972597Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3972692Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3972768Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3972879Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3972974Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3973058Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.3973163Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3973256Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3973336Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.3973423Z              42 BUILD_TUPLE              3
2022-11-23T01:32:31.3973505Z              44 RETURN_VALUE
2022-11-23T01:32:31.3973510Z 
2022-11-23T01:32:31.3973575Z  
2022-11-23T01:32:31.3973766Z [2022-11-23 01:29:44,668] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3973842Z  - 
2022-11-23T01:32:31.3973966Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3974038Z             {
2022-11-23T01:32:31.3974210Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3974429Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.3974555Z                 'obj_weakref': None
2022-11-23T01:32:31.3974786Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3974855Z             }
2022-11-23T01:32:31.3974924Z             
2022-11-23T01:32:31.3975000Z  - 
2022-11-23T01:32:31.3975122Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3975190Z             {
2022-11-23T01:32:31.3975336Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3975446Z                 'code': None,
2022-11-23T01:32:31.3975660Z                 'obj_weakref': <weakref at 0x7f201e6e2020; to 'Tensor' at 0x7f1fd83132e0>
2022-11-23T01:32:31.3975913Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3975983Z             }
2022-11-23T01:32:31.3976045Z             
2022-11-23T01:32:31.3976123Z  - 
2022-11-23T01:32:31.3976249Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3976319Z             {
2022-11-23T01:32:31.3976466Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3976576Z                 'code': None,
2022-11-23T01:32:31.3976790Z                 'obj_weakref': <weakref at 0x7f201e6e2430; to 'Tensor' at 0x7f1fd83d6340>
2022-11-23T01:32:31.3977033Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3977101Z             }
2022-11-23T01:32:31.3977169Z             
2022-11-23T01:32:31.3977246Z  - 
2022-11-23T01:32:31.3977372Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.3977438Z             {
2022-11-23T01:32:31.3977585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3977689Z                 'code': None,
2022-11-23T01:32:31.3977900Z                 'obj_weakref': <weakref at 0x7f201e6e2840; to 'Tensor' at 0x7f1fd97dbbf0>
2022-11-23T01:32:31.3978154Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3978222Z             }
2022-11-23T01:32:31.3978291Z             
2022-11-23T01:32:31.3978365Z  - 
2022-11-23T01:32:31.3978501Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.3978562Z             {
2022-11-23T01:32:31.3978703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.3979143Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.3979270Z                 'obj_weakref': None
2022-11-23T01:32:31.3979503Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.3979572Z             }
2022-11-23T01:32:31.3979639Z             
2022-11-23T01:32:31.3979706Z  - 
2022-11-23T01:32:31.3979832Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.3979904Z             {
2022-11-23T01:32:31.3980045Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.3980269Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.3980392Z                 'obj_weakref': None
2022-11-23T01:32:31.3980619Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.3980680Z             }
2022-11-23T01:32:31.3980748Z             
2022-11-23T01:32:31.3981016Z [2022-11-23 01:29:44,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504
2022-11-23T01:32:31.3981356Z [2022-11-23 01:29:44,690] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.3981728Z [2022-11-23 01:29:44,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2k/c2kjtqkocruy5iptxswlhozegznnv6vk3kom2hoal76atlld6yiu.py
2022-11-23T01:32:31.3982075Z [2022-11-23 01:29:44,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504
2022-11-23T01:32:31.3982364Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.3982683Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.3982906Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.3983159Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.3983441Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.3983768Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3984115Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3984443Z [2022-11-23 01:29:44,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.3984820Z [2022-11-23 01:29:44,887] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688> 
2022-11-23T01:32:31.3984920Z  689           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3985017Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3985097Z               4 BINARY_ADD
2022-11-23T01:32:31.3985193Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.3985280Z               8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3985368Z              10 BINARY_SUBTRACT
2022-11-23T01:32:31.3985464Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.3985561Z              14 LOAD_FAST                2 (c)
2022-11-23T01:32:31.3985647Z              16 BINARY_MULTIPLY
2022-11-23T01:32:31.3985741Z              18 BUILD_TUPLE              3
2022-11-23T01:32:31.3985822Z              20 RETURN_VALUE
2022-11-23T01:32:31.3985881Z  
2022-11-23T01:32:31.3985888Z 
2022-11-23T01:32:31.3986202Z [2022-11-23 01:29:44,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689
2022-11-23T01:32:31.3986415Z [2022-11-23 01:29:44,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.3986654Z [2022-11-23 01:29:44,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.3986929Z [2022-11-23 01:29:44,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3987169Z [2022-11-23 01:29:44,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.3987439Z [2022-11-23 01:29:44,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3987749Z [2022-11-23 01:29:44,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3988018Z [2022-11-23 01:29:44,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3988305Z [2022-11-23 01:29:44,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3988645Z [2022-11-23 01:29:44,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3988985Z [2022-11-23 01:29:44,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.3989257Z [2022-11-23 01:29:44,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3989635Z [2022-11-23 01:29:44,890] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688>
2022-11-23T01:32:31.3989885Z [2022-11-23 01:29:44,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.3990126Z [2022-11-23 01:29:44,890] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.3990505Z [2022-11-23 01:29:44,891] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.3990794Z [2022-11-23 01:29:44,895] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.3991016Z [2022-11-23 01:29:44,895] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.3991226Z  __compiled_fn_515 <eval_with_key>.3186 opcode, name, target, args, kwargs
2022-11-23T01:32:31.3991322Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.3991416Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.3991507Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.3991691Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.3991872Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T01:32:31.3992051Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T01:32:31.3992156Z output, output, output, ((add, sub, mul),), {}
2022-11-23T01:32:31.3992170Z 
2022-11-23T01:32:31.3992490Z [2022-11-23 01:29:44,895] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3992595Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.3992692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3992788Z               4 BUILD_MAP                0
2022-11-23T01:32:31.3992893Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.3992984Z               8 DICT_MERGE               1
2022-11-23T01:32:31.3993078Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.3993153Z              12 RETURN_VALUE
2022-11-23T01:32:31.3993165Z 
2022-11-23T01:32:31.3993224Z  
2022-11-23T01:32:31.3993543Z [2022-11-23 01:29:44,896] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.3993662Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_515)
2022-11-23T01:32:31.3993760Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3993855Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3993936Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.3994035Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3994125Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3994206Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.3994299Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.3994391Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3994472Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.3994566Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.3994677Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.3994779Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3994877Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.3994958Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.3995067Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3995162Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.3995242Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.3995385Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.3995494Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.3995575Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.3995669Z              42 BUILD_TUPLE              3
2022-11-23T01:32:31.3995752Z              44 RETURN_VALUE
2022-11-23T01:32:31.3995758Z 
2022-11-23T01:32:31.3995824Z  
2022-11-23T01:32:31.3996011Z [2022-11-23 01:29:44,896] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.3996086Z  - 
2022-11-23T01:32:31.3996203Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.3996276Z             {
2022-11-23T01:32:31.3996419Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.3996609Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.3996731Z                 'obj_weakref': None
2022-11-23T01:32:31.3996957Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.3997027Z             }
2022-11-23T01:32:31.3997090Z             
2022-11-23T01:32:31.3997165Z  - 
2022-11-23T01:32:31.3997295Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.3997364Z             {
2022-11-23T01:32:31.3997511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3997622Z                 'code': None,
2022-11-23T01:32:31.3997835Z                 'obj_weakref': <weakref at 0x7f201e6f0f40; to 'Tensor' at 0x7f201e6f01d0>
2022-11-23T01:32:31.3998078Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3998148Z             }
2022-11-23T01:32:31.3998215Z             
2022-11-23T01:32:31.3998290Z  - 
2022-11-23T01:32:31.3998417Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.3998486Z             {
2022-11-23T01:32:31.3998628Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3998733Z                 'code': None,
2022-11-23T01:32:31.3998951Z                 'obj_weakref': <weakref at 0x7f201e6f3470; to 'Tensor' at 0x7f201e6f08b0>
2022-11-23T01:32:31.3999201Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.3999272Z             }
2022-11-23T01:32:31.3999340Z             
2022-11-23T01:32:31.3999415Z  - 
2022-11-23T01:32:31.3999545Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.3999606Z             {
2022-11-23T01:32:31.3999753Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.3999864Z                 'code': None,
2022-11-23T01:32:31.4000077Z                 'obj_weakref': <weakref at 0x7f201e6f3420; to 'Tensor' at 0x7f201e6f0ea0>
2022-11-23T01:32:31.4000329Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4000398Z             }
2022-11-23T01:32:31.4000465Z             
2022-11-23T01:32:31.4000532Z  - 
2022-11-23T01:32:31.4000671Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4000739Z             {
2022-11-23T01:32:31.4000881Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4001055Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4001178Z                 'obj_weakref': None
2022-11-23T01:32:31.4001406Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4001474Z             }
2022-11-23T01:32:31.4001535Z             
2022-11-23T01:32:31.4001609Z  - 
2022-11-23T01:32:31.4001735Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4001803Z             {
2022-11-23T01:32:31.4001944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4002162Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4002278Z                 'obj_weakref': None
2022-11-23T01:32:31.4002545Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4002619Z             }
2022-11-23T01:32:31.4002710Z             
2022-11-23T01:32:31.4002975Z [2022-11-23 01:29:44,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505
2022-11-23T01:32:31.4003315Z [2022-11-23 01:29:44,914] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4003691Z [2022-11-23 01:29:44,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zv/czvoihbtxqfgpdiwshghtxhnw4trjjh5rmusattj54dv7bteqbm2.py
2022-11-23T01:32:31.4003962Z [2022-11-23 01:29:44,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505
2022-11-23T01:32:31.4003968Z 
2022-11-23T01:32:31.4004069Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4004136Z import torch
2022-11-23T01:32:31.4004214Z import random
2022-11-23T01:32:31.4004341Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4004471Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4004479Z 
2022-11-23T01:32:31.4004562Z aten = torch.ops.aten
2022-11-23T01:32:31.4004704Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4004803Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4004809Z 
2022-11-23T01:32:31.4004876Z import triton
2022-11-23T01:32:31.4004970Z import triton.language as tl
2022-11-23T01:32:31.4005098Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4005242Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4005248Z 
2022-11-23T01:32:31.4005252Z 
2022-11-23T01:32:31.4005419Z triton_fused_mul_sub_add0 = async_compile.triton('''
2022-11-23T01:32:31.4005496Z import triton
2022-11-23T01:32:31.4005590Z import triton.language as tl
2022-11-23T01:32:31.4005704Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4005801Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4005939Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4006072Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4006077Z 
2022-11-23T01:32:31.4006512Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.4006585Z @triton.jit
2022-11-23T01:32:31.4006759Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4006835Z     xnumel = 2048
2022-11-23T01:32:31.4006935Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4007062Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4007148Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4007219Z     x0 = xindex
2022-11-23T01:32:31.4007307Z     x2 = (xindex // 16) % 16
2022-11-23T01:32:31.4007406Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4007506Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.4007601Z     tmp3 = tl.load(in_ptr2 + (x2), xmask)
2022-11-23T01:32:31.4007674Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4007785Z     tmp4 = tmp0 - tmp3
2022-11-23T01:32:31.4007862Z     tmp5 = tmp1 * tmp3
2022-11-23T01:32:31.4008004Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4008140Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4008274Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.4008358Z ''')
2022-11-23T01:32:31.4008364Z 
2022-11-23T01:32:31.4008368Z 
2022-11-23T01:32:31.4008463Z async_compile.wait(globals())
2022-11-23T01:32:31.4008534Z del async_compile
2022-11-23T01:32:31.4008539Z 
2022-11-23T01:32:31.4008613Z def call(args):
2022-11-23T01:32:31.4008706Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4008847Z     args.clear()
2022-11-23T01:32:31.4009085Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4009295Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4009502Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4009587Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4009761Z     triton_fused_mul_sub_add0.run(arg0_1, arg1_1, arg2_1, buf0, buf1, buf2, 2048, grid=grid(2048), stream=stream0)
2022-11-23T01:32:31.4009837Z     del arg0_1
2022-11-23T01:32:31.4009910Z     del arg1_1
2022-11-23T01:32:31.4009982Z     del arg2_1
2022-11-23T01:32:31.4010071Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.4010076Z 
2022-11-23T01:32:31.4010081Z 
2022-11-23T01:32:31.4010165Z if __name__ == "__main__":
2022-11-23T01:32:31.4010285Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4010410Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4010623Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4010832Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4011042Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4011172Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4011177Z 
2022-11-23T01:32:31.4011182Z 
2022-11-23T01:32:31.4011282Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4011357Z import torch
2022-11-23T01:32:31.4011433Z import random
2022-11-23T01:32:31.4011548Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4011675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4011680Z 
2022-11-23T01:32:31.4011764Z aten = torch.ops.aten
2022-11-23T01:32:31.4011907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4012004Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4012012Z 
2022-11-23T01:32:31.4012086Z import triton
2022-11-23T01:32:31.4012183Z import triton.language as tl
2022-11-23T01:32:31.4012312Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4012449Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4012454Z 
2022-11-23T01:32:31.4012459Z 
2022-11-23T01:32:31.4012650Z triton_fused_mul_add_sub0 = async_compile.triton('''
2022-11-23T01:32:31.4012737Z import triton
2022-11-23T01:32:31.4012844Z import triton.language as tl
2022-11-23T01:32:31.4012958Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4013062Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4013199Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4013320Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4013333Z 
2022-11-23T01:32:31.4013757Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.4013835Z @triton.jit
2022-11-23T01:32:31.4014006Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4014082Z     xnumel = 2048
2022-11-23T01:32:31.4014183Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4014316Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4014400Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4014465Z     x0 = xindex
2022-11-23T01:32:31.4014548Z     x2 = (xindex // 16) % 16
2022-11-23T01:32:31.4014672Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4014791Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4014957Z     tmp3 = tl.load(in_ptr2 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.4015038Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4015172Z     tmp4 = tmp0 - tmp3
2022-11-23T01:32:31.4015244Z     tmp5 = tmp1 * tmp3
2022-11-23T01:32:31.4015381Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4015517Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4015652Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.4015740Z ''')
2022-11-23T01:32:31.4015746Z 
2022-11-23T01:32:31.4015750Z 
2022-11-23T01:32:31.4015844Z async_compile.wait(globals())
2022-11-23T01:32:31.4015925Z del async_compile
2022-11-23T01:32:31.4015930Z 
2022-11-23T01:32:31.4016005Z def call(args):
2022-11-23T01:32:31.4016086Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4016162Z     args.clear()
2022-11-23T01:32:31.4016372Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4016585Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4016793Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4016885Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4017063Z     triton_fused_mul_add_sub0.run(arg0_1, arg1_1, arg2_1, buf0, buf1, buf2, 2048, grid=grid(2048), stream=stream0)
2022-11-23T01:32:31.4017138Z     del arg0_1
2022-11-23T01:32:31.4017203Z     del arg1_1
2022-11-23T01:32:31.4017276Z     del arg2_1
2022-11-23T01:32:31.4017366Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.4017372Z 
2022-11-23T01:32:31.4017376Z 
2022-11-23T01:32:31.4017457Z if __name__ == "__main__":
2022-11-23T01:32:31.4017579Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4017708Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4017917Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4018128Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4018328Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4018455Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4018460Z 
2022-11-23T01:32:31.4018533Z ok (0.346s)
2022-11-23T01:32:31.4019173Z   test_horizonal_fusion2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4019502Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4019722Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4019977Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4020258Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4020581Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4020923Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4021249Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4021627Z [2022-11-23 01:29:45,005] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696> 
2022-11-23T01:32:31.4021725Z  697           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4021915Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4022026Z               4 BINARY_ADD
2022-11-23T01:32:31.4022125Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4022220Z               8 LOAD_CONST               2 (2)
2022-11-23T01:32:31.4022290Z              10 BINARY_ADD
2022-11-23T01:32:31.4022382Z              12 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4022474Z              14 LOAD_CONST               3 (3)
2022-11-23T01:32:31.4022550Z              16 BINARY_ADD
2022-11-23T01:32:31.4022644Z              18 BUILD_TUPLE              3
2022-11-23T01:32:31.4022725Z              20 RETURN_VALUE
2022-11-23T01:32:31.4022792Z  
2022-11-23T01:32:31.4022797Z 
2022-11-23T01:32:31.4023111Z [2022-11-23 01:29:45,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697
2022-11-23T01:32:31.4023319Z [2022-11-23 01:29:45,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4023567Z [2022-11-23 01:29:45,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.4023850Z [2022-11-23 01:29:45,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4024086Z [2022-11-23 01:29:45,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.4024353Z [2022-11-23 01:29:45,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4024662Z [2022-11-23 01:29:45,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4024927Z [2022-11-23 01:29:45,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4025228Z [2022-11-23 01:29:45,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4025570Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4025869Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4026113Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4026493Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696>
2022-11-23T01:32:31.4026744Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4026984Z [2022-11-23 01:29:45,008] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4027248Z [2022-11-23 01:29:45,009] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4027503Z [2022-11-23 01:29:45,013] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4027696Z [2022-11-23 01:29:45,013] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4027837Z  __compiled_fn_516 <eval_with_key>.3192 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4027931Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4028016Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4028107Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4028285Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4028462Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:31.4028639Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:31.4028755Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:31.4028792Z 
2022-11-23T01:32:31.4029121Z [2022-11-23 01:29:45,014] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4029261Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4029351Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4029444Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4029542Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4029636Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4029732Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4029815Z              12 RETURN_VALUE
2022-11-23T01:32:31.4029820Z 
2022-11-23T01:32:31.4029884Z  
2022-11-23T01:32:31.4030198Z [2022-11-23 01:29:45,014] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4030445Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_516)
2022-11-23T01:32:31.4030559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4030669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4030768Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4030877Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4030985Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4031108Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4031209Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4031303Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4031383Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4031476Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4031589Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4031698Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4031793Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4031870Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4031984Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4032079Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4032159Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4032265Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4032359Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4032439Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.4032526Z              42 BUILD_TUPLE              3
2022-11-23T01:32:31.4032607Z              44 RETURN_VALUE
2022-11-23T01:32:31.4032612Z 
2022-11-23T01:32:31.4032680Z  
2022-11-23T01:32:31.4032872Z [2022-11-23 01:29:45,014] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4032949Z  - 
2022-11-23T01:32:31.4033072Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4033142Z             {
2022-11-23T01:32:31.4033280Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4033476Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4033602Z                 'obj_weakref': None
2022-11-23T01:32:31.4033833Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4033902Z             }
2022-11-23T01:32:31.4033975Z             
2022-11-23T01:32:31.4034052Z  - 
2022-11-23T01:32:31.4034174Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4034245Z             {
2022-11-23T01:32:31.4034393Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4034505Z                 'code': None,
2022-11-23T01:32:31.4034720Z                 'obj_weakref': <weakref at 0x7f1fd83d75b0; to 'Tensor' at 0x7f1fd8c27d80>
2022-11-23T01:32:31.4034973Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4035041Z             }
2022-11-23T01:32:31.4035101Z             
2022-11-23T01:32:31.4035177Z  - 
2022-11-23T01:32:31.4035348Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4035438Z             {
2022-11-23T01:32:31.4035589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4035702Z                 'code': None,
2022-11-23T01:32:31.4035918Z                 'obj_weakref': <weakref at 0x7f1fd833b6f0; to 'Tensor' at 0x7f201e6f1f80>
2022-11-23T01:32:31.4036159Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4036229Z             }
2022-11-23T01:32:31.4036296Z             
2022-11-23T01:32:31.4036371Z  - 
2022-11-23T01:32:31.4036498Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4036568Z             {
2022-11-23T01:32:31.4036713Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4036817Z                 'code': None,
2022-11-23T01:32:31.4037027Z                 'obj_weakref': <weakref at 0x7f1ff8149f30; to 'Tensor' at 0x7f201e6f01d0>
2022-11-23T01:32:31.4037280Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4037353Z             }
2022-11-23T01:32:31.4037422Z             
2022-11-23T01:32:31.4037496Z  - 
2022-11-23T01:32:31.4037632Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4037693Z             {
2022-11-23T01:32:31.4037833Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4038006Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4038131Z                 'obj_weakref': None
2022-11-23T01:32:31.4038363Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4038432Z             }
2022-11-23T01:32:31.4038499Z             
2022-11-23T01:32:31.4038567Z  - 
2022-11-23T01:32:31.4038694Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4038761Z             {
2022-11-23T01:32:31.4038901Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4039120Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4039251Z                 'obj_weakref': None
2022-11-23T01:32:31.4039479Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4039540Z             }
2022-11-23T01:32:31.4039607Z             
2022-11-23T01:32:31.4039873Z [2022-11-23 01:29:45,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506
2022-11-23T01:32:31.4040122Z [2022-11-23 01:29:45,033] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4040369Z [2022-11-23 01:29:45,034] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4040611Z [2022-11-23 01:29:45,035] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4040979Z [2022-11-23 01:29:45,111] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctj2ujqmlpcujj7453bqj3nko6gzefedrykv7wkl3x5ek4wb4hsv.py
2022-11-23T01:32:31.4041250Z [2022-11-23 01:29:45,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506
2022-11-23T01:32:31.4041494Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4041807Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4042031Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4042288Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4042569Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4042969Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4043338Z [2022-11-23 01:29:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4043667Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4044044Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696> 
2022-11-23T01:32:31.4044147Z  697           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4044246Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4044318Z               4 BINARY_ADD
2022-11-23T01:32:31.4044416Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4044513Z               8 LOAD_CONST               2 (2)
2022-11-23T01:32:31.4044596Z              10 BINARY_ADD
2022-11-23T01:32:31.4044689Z              12 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4044782Z              14 LOAD_CONST               3 (3)
2022-11-23T01:32:31.4044859Z              16 BINARY_ADD
2022-11-23T01:32:31.4044946Z              18 BUILD_TUPLE              3
2022-11-23T01:32:31.4045028Z              20 RETURN_VALUE
2022-11-23T01:32:31.4045094Z  
2022-11-23T01:32:31.4045101Z 
2022-11-23T01:32:31.4045414Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697
2022-11-23T01:32:31.4045628Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4045871Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.4046155Z [2022-11-23 01:29:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4046395Z [2022-11-23 01:29:45,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.4046653Z [2022-11-23 01:29:45,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4046960Z [2022-11-23 01:29:45,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4047231Z [2022-11-23 01:29:45,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4047529Z [2022-11-23 01:29:45,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4047868Z [2022-11-23 01:29:45,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4048167Z [2022-11-23 01:29:45,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4048421Z [2022-11-23 01:29:45,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4048800Z [2022-11-23 01:29:45,120] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f410b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696>
2022-11-23T01:32:31.4049051Z [2022-11-23 01:29:45,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4049291Z [2022-11-23 01:29:45,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4049552Z [2022-11-23 01:29:45,121] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4049827Z [2022-11-23 01:29:45,125] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4050044Z [2022-11-23 01:29:45,125] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4050186Z  __compiled_fn_517 <eval_with_key>.3198 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4050279Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4050374Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4050465Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4050643Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4050814Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:31.4050988Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:31.4051104Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:31.4051109Z 
2022-11-23T01:32:31.4051437Z [2022-11-23 01:29:45,125] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4051539Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4051639Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4051734Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4051834Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4051919Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4052015Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4052096Z              12 RETURN_VALUE
2022-11-23T01:32:31.4052101Z 
2022-11-23T01:32:31.4052167Z  
2022-11-23T01:32:31.4052508Z [2022-11-23 01:29:45,125] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4052637Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_517)
2022-11-23T01:32:31.4052753Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4052849Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4052925Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4053025Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4053117Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4053199Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4053292Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4053383Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4053462Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4053549Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4053663Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4053771Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4053866Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4053949Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4054061Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4054158Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4054232Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4054341Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4054435Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4054516Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.4054610Z              42 BUILD_TUPLE              3
2022-11-23T01:32:31.4054691Z              44 RETURN_VALUE
2022-11-23T01:32:31.4054697Z 
2022-11-23T01:32:31.4054762Z  
2022-11-23T01:32:31.4054943Z [2022-11-23 01:29:45,126] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4055019Z  - 
2022-11-23T01:32:31.4055144Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4055213Z             {
2022-11-23T01:32:31.4055362Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4055551Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4055675Z                 'obj_weakref': None
2022-11-23T01:32:31.4055926Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4056015Z             }
2022-11-23T01:32:31.4056083Z             
2022-11-23T01:32:31.4056159Z  - 
2022-11-23T01:32:31.4056294Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4056362Z             {
2022-11-23T01:32:31.4056508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4056612Z                 'code': None,
2022-11-23T01:32:31.4056825Z                 'obj_weakref': <weakref at 0x7f201e6f38d0; to 'Tensor' at 0x7f206070f330>
2022-11-23T01:32:31.4057076Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4057144Z             }
2022-11-23T01:32:31.4057213Z             
2022-11-23T01:32:31.4057288Z  - 
2022-11-23T01:32:31.4057416Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4057478Z             {
2022-11-23T01:32:31.4057623Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4057737Z                 'code': None,
2022-11-23T01:32:31.4057953Z                 'obj_weakref': <weakref at 0x7f201e6f9c60; to 'Tensor' at 0x7f1fd8cce7f0>
2022-11-23T01:32:31.4058204Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4058272Z             }
2022-11-23T01:32:31.4058340Z             
2022-11-23T01:32:31.4058408Z  - 
2022-11-23T01:32:31.4058534Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4058602Z             {
2022-11-23T01:32:31.4058745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4059245Z                 'code': None,
2022-11-23T01:32:31.4059455Z                 'obj_weakref': <weakref at 0x7f201e6f9a80; to 'Tensor' at 0x7f201e6eb3d0>
2022-11-23T01:32:31.4059708Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4059776Z             }
2022-11-23T01:32:31.4059841Z             
2022-11-23T01:32:31.4059916Z  - 
2022-11-23T01:32:31.4060055Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4060127Z             {
2022-11-23T01:32:31.4060266Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4060442Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4060558Z                 'obj_weakref': None
2022-11-23T01:32:31.4060787Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4060857Z             }
2022-11-23T01:32:31.4060924Z             
2022-11-23T01:32:31.4060999Z  - 
2022-11-23T01:32:31.4061124Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4061192Z             {
2022-11-23T01:32:31.4061324Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4061543Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4061665Z                 'obj_weakref': None
2022-11-23T01:32:31.4061891Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4061961Z             }
2022-11-23T01:32:31.4062029Z             
2022-11-23T01:32:31.4062291Z [2022-11-23 01:29:45,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507
2022-11-23T01:32:31.4062537Z [2022-11-23 01:29:45,141] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4062775Z [2022-11-23 01:29:45,143] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4063012Z [2022-11-23 01:29:45,144] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4063018Z 
2022-11-23T01:32:31.4063119Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4063194Z import torch
2022-11-23T01:32:31.4063268Z import random
2022-11-23T01:32:31.4063390Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4063618Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4063652Z 
2022-11-23T01:32:31.4063736Z aten = torch.ops.aten
2022-11-23T01:32:31.4063870Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4063968Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4063974Z 
2022-11-23T01:32:31.4064048Z import triton
2022-11-23T01:32:31.4064141Z import triton.language as tl
2022-11-23T01:32:31.4064269Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4064413Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4064418Z 
2022-11-23T01:32:31.4064423Z 
2022-11-23T01:32:31.4064580Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.4064655Z import triton
2022-11-23T01:32:31.4064740Z import triton.language as tl
2022-11-23T01:32:31.4064854Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4064957Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4065094Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4065225Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4065230Z 
2022-11-23T01:32:31.4065605Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4065679Z @triton.jit
2022-11-23T01:32:31.4065816Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4065884Z     xnumel = 1024
2022-11-23T01:32:31.4065982Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4066114Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4066201Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4066273Z     x0 = xindex
2022-11-23T01:32:31.4066371Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4066435Z     tmp1 = 1
2022-11-23T01:32:31.4066515Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4066654Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4066742Z ''')
2022-11-23T01:32:31.4066748Z 
2022-11-23T01:32:31.4066752Z 
2022-11-23T01:32:31.4066907Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:31.4066981Z import triton
2022-11-23T01:32:31.4067075Z import triton.language as tl
2022-11-23T01:32:31.4067191Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4067286Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4067419Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4067549Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4067554Z 
2022-11-23T01:32:31.4067928Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4068002Z @triton.jit
2022-11-23T01:32:31.4068139Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4068217Z     xnumel = 128
2022-11-23T01:32:31.4068318Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4068444Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4068528Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4068599Z     x0 = xindex
2022-11-23T01:32:31.4068699Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4068770Z     tmp1 = 2
2022-11-23T01:32:31.4068851Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4068987Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4069066Z ''')
2022-11-23T01:32:31.4069071Z 
2022-11-23T01:32:31.4069075Z 
2022-11-23T01:32:31.4069231Z triton_fused_add_22 = async_compile.triton('''
2022-11-23T01:32:31.4069305Z import triton
2022-11-23T01:32:31.4069399Z import triton.language as tl
2022-11-23T01:32:31.4069515Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4069662Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4069800Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4069944Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4069958Z 
2022-11-23T01:32:31.4070426Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4070516Z @triton.jit
2022-11-23T01:32:31.4070667Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4070760Z     xnumel = 128
2022-11-23T01:32:31.4070868Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4071002Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4071085Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4071149Z     x0 = xindex
2022-11-23T01:32:31.4071246Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4071317Z     tmp1 = 3
2022-11-23T01:32:31.4071402Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4071539Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4071627Z ''')
2022-11-23T01:32:31.4071632Z 
2022-11-23T01:32:31.4071637Z 
2022-11-23T01:32:31.4071731Z async_compile.wait(globals())
2022-11-23T01:32:31.4071802Z del async_compile
2022-11-23T01:32:31.4071814Z 
2022-11-23T01:32:31.4071882Z def call(args):
2022-11-23T01:32:31.4071969Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4072046Z     args.clear()
2022-11-23T01:32:31.4072255Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4072345Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4072486Z     triton_fused_add0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.4072559Z     del arg0_1
2022-11-23T01:32:31.4072752Z     buf1 = empty_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4072895Z     triton_fused_add_11.run(arg1_1, buf1, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.4072969Z     del arg1_1
2022-11-23T01:32:31.4073167Z     buf2 = empty_strided((16, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4073300Z     triton_fused_add_22.run(arg2_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.4073372Z     del arg2_1
2022-11-23T01:32:31.4073459Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.4073465Z 
2022-11-23T01:32:31.4073469Z 
2022-11-23T01:32:31.4073550Z if __name__ == "__main__":
2022-11-23T01:32:31.4073663Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4073791Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4074003Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4074203Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4074396Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4074527Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4074535Z 
2022-11-23T01:32:31.4074900Z [2022-11-23 01:29:45,222] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q4/cq4nkrscvqmggq5tafndmsrdpzzie47mm7zuud3dir6h377igpzt.py
2022-11-23T01:32:31.4075166Z [2022-11-23 01:29:45,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507
2022-11-23T01:32:31.4075172Z 
2022-11-23T01:32:31.4075265Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4075342Z import torch
2022-11-23T01:32:31.4075420Z import random
2022-11-23T01:32:31.4075541Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4075668Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4075673Z 
2022-11-23T01:32:31.4075759Z aten = torch.ops.aten
2022-11-23T01:32:31.4075901Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4075999Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4076041Z 
2022-11-23T01:32:31.4076150Z import triton
2022-11-23T01:32:31.4076244Z import triton.language as tl
2022-11-23T01:32:31.4076372Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4076513Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4076519Z 
2022-11-23T01:32:31.4076524Z 
2022-11-23T01:32:31.4076679Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.4076757Z import triton
2022-11-23T01:32:31.4076848Z import triton.language as tl
2022-11-23T01:32:31.4076957Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4077062Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4077199Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4077329Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4077334Z 
2022-11-23T01:32:31.4077709Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4077787Z @triton.jit
2022-11-23T01:32:31.4077919Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4077999Z     xnumel = 1024
2022-11-23T01:32:31.4078092Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4078227Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4078313Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4078389Z     x0 = xindex
2022-11-23T01:32:31.4078511Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4078583Z     tmp1 = 1
2022-11-23T01:32:31.4078663Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4078792Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4078879Z ''')
2022-11-23T01:32:31.4078884Z 
2022-11-23T01:32:31.4078888Z 
2022-11-23T01:32:31.4079043Z triton_fused_add_11 = async_compile.triton('''
2022-11-23T01:32:31.4079121Z import triton
2022-11-23T01:32:31.4079216Z import triton.language as tl
2022-11-23T01:32:31.4079337Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4079440Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4079575Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4079695Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4079700Z 
2022-11-23T01:32:31.4087845Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4087929Z @triton.jit
2022-11-23T01:32:31.4088071Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4088153Z     xnumel = 128
2022-11-23T01:32:31.4088256Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4088391Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4088484Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4088553Z     x0 = xindex
2022-11-23T01:32:31.4088676Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4088748Z     tmp1 = 2
2022-11-23T01:32:31.4088830Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4088969Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4089078Z ''')
2022-11-23T01:32:31.4089084Z 
2022-11-23T01:32:31.4089088Z 
2022-11-23T01:32:31.4089251Z triton_fused_add_22 = async_compile.triton('''
2022-11-23T01:32:31.4089321Z import triton
2022-11-23T01:32:31.4089416Z import triton.language as tl
2022-11-23T01:32:31.4089534Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4089639Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4089776Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4089907Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4089912Z 
2022-11-23T01:32:31.4090349Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4090448Z @triton.jit
2022-11-23T01:32:31.4090577Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4090656Z     xnumel = 128
2022-11-23T01:32:31.4090754Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4090888Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4090974Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4091046Z     x0 = xindex
2022-11-23T01:32:31.4091170Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4091236Z     tmp1 = 3
2022-11-23T01:32:31.4091317Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4091455Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4091547Z ''')
2022-11-23T01:32:31.4091553Z 
2022-11-23T01:32:31.4091557Z 
2022-11-23T01:32:31.4091656Z async_compile.wait(globals())
2022-11-23T01:32:31.4091737Z del async_compile
2022-11-23T01:32:31.4091743Z 
2022-11-23T01:32:31.4091819Z def call(args):
2022-11-23T01:32:31.4091901Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4091982Z     args.clear()
2022-11-23T01:32:31.4092192Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4092284Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4092427Z     triton_fused_add0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.4092501Z     del arg0_1
2022-11-23T01:32:31.4092731Z     buf1 = empty_strided((8, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4092895Z     triton_fused_add_11.run(arg1_1, buf1, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.4092962Z     del arg1_1
2022-11-23T01:32:31.4093160Z     buf2 = empty_strided((16, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4093298Z     triton_fused_add_22.run(arg2_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.4093376Z     del arg2_1
2022-11-23T01:32:31.4093463Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.4093468Z 
2022-11-23T01:32:31.4093473Z 
2022-11-23T01:32:31.4093555Z if __name__ == "__main__":
2022-11-23T01:32:31.4093677Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4093800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4094009Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4094213Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4094409Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4094538Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4094544Z 
2022-11-23T01:32:31.4094621Z ok (0.223s)
2022-11-23T01:32:31.4094938Z   test_index1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4095259Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4095481Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4095731Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4096012Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4096333Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4096711Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4097059Z [2022-11-23 01:29:45,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4097433Z [2022-11-23 01:29:45,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:31.4097538Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4097639Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4097737Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4097826Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4097921Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4098017Z               10 BUILD_LIST               2
2022-11-23T01:32:31.4098112Z               12 CALL_METHOD              2
2022-11-23T01:32:31.4098197Z               14 RETURN_VALUE
2022-11-23T01:32:31.4098264Z  
2022-11-23T01:32:31.4098271Z 
2022-11-23T01:32:31.4098586Z [2022-11-23 01:29:45,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:31.4099101Z [2022-11-23 01:29:45,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4099405Z [2022-11-23 01:29:45,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4099658Z [2022-11-23 01:29:45,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4099936Z [2022-11-23 01:29:45,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4100246Z [2022-11-23 01:29:45,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4100577Z [2022-11-23 01:29:45,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4100889Z [2022-11-23 01:29:45,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4101138Z [2022-11-23 01:29:45,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4101513Z [2022-11-23 01:29:45,236] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:31.4101764Z [2022-11-23 01:29:45,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4102002Z [2022-11-23 01:29:45,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4102263Z [2022-11-23 01:29:45,237] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4102514Z [2022-11-23 01:29:45,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4102708Z [2022-11-23 01:29:45,419] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4102857Z  __compiled_fn_518 <eval_with_key>.3204 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4102959Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4103074Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4103174Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4103317Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:31.4103414Z output, output, output, ((index,),), {}
2022-11-23T01:32:31.4103427Z 
2022-11-23T01:32:31.4103825Z [2022-11-23 01:29:45,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4103957Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4104058Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4104156Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4104260Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4104354Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4104448Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4104523Z              12 RETURN_VALUE
2022-11-23T01:32:31.4104538Z 
2022-11-23T01:32:31.4104597Z  
2022-11-23T01:32:31.4104920Z [2022-11-23 01:29:45,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4105041Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_518)
2022-11-23T01:32:31.4105140Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4105241Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4105324Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4105425Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4105514Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4105596Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4105691Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4105785Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4105868Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4105962Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4106060Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4106135Z              24 RETURN_VALUE
2022-11-23T01:32:31.4106140Z 
2022-11-23T01:32:31.4106206Z  
2022-11-23T01:32:31.4106397Z [2022-11-23 01:29:45,420] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4106473Z  - 
2022-11-23T01:32:31.4106598Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4106669Z             {
2022-11-23T01:32:31.4106816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4107002Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4107128Z                 'obj_weakref': None
2022-11-23T01:32:31.4107353Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4107425Z             }
2022-11-23T01:32:31.4107497Z             
2022-11-23T01:32:31.4107574Z  - 
2022-11-23T01:32:31.4107702Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4107765Z             {
2022-11-23T01:32:31.4107912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4108026Z                 'code': None,
2022-11-23T01:32:31.4108241Z                 'obj_weakref': <weakref at 0x7f20728102c0; to 'Tensor' at 0x7f1ff814be70>
2022-11-23T01:32:31.4108492Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4108562Z             }
2022-11-23T01:32:31.4108635Z             
2022-11-23T01:32:31.4108707Z  - 
2022-11-23T01:32:31.4108833Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4108902Z             {
2022-11-23T01:32:31.4109052Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4109166Z                 'code': None,
2022-11-23T01:32:31.4109380Z                 'obj_weakref': <weakref at 0x7f201e6b5d00; to 'Tensor' at 0x7f1ff8149490>
2022-11-23T01:32:31.4109633Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4109695Z             }
2022-11-23T01:32:31.4109765Z             
2022-11-23T01:32:31.4109844Z  - 
2022-11-23T01:32:31.4109972Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4110042Z             {
2022-11-23T01:32:31.4110189Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4110387Z                 'code': None,
2022-11-23T01:32:31.4110654Z                 'obj_weakref': <weakref at 0x7f201e6e0270; to 'Tensor' at 0x7f1ff814a570>
2022-11-23T01:32:31.4110970Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4111042Z             }
2022-11-23T01:32:31.4111111Z             
2022-11-23T01:32:31.4111188Z  - 
2022-11-23T01:32:31.4111326Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4111396Z             {
2022-11-23T01:32:31.4111530Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4111708Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4111832Z                 'obj_weakref': None
2022-11-23T01:32:31.4112063Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4112135Z             }
2022-11-23T01:32:31.4112204Z             
2022-11-23T01:32:31.4112280Z  - 
2022-11-23T01:32:31.4112399Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4112468Z             {
2022-11-23T01:32:31.4112635Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4112879Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4113002Z                 'obj_weakref': None
2022-11-23T01:32:31.4113225Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4113295Z             }
2022-11-23T01:32:31.4113356Z             
2022-11-23T01:32:31.4113432Z  - 
2022-11-23T01:32:31.4113569Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4113638Z             {
2022-11-23T01:32:31.4113764Z                 'guard_types': None,
2022-11-23T01:32:31.4113878Z                 'code': None,
2022-11-23T01:32:31.4114000Z                 'obj_weakref': None
2022-11-23T01:32:31.4114118Z                 'guarded_class': None
2022-11-23T01:32:31.4114191Z             }
2022-11-23T01:32:31.4114260Z             
2022-11-23T01:32:31.4114525Z [2022-11-23 01:29:45,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508
2022-11-23T01:32:31.4114781Z [2022-11-23 01:29:45,435] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4115148Z [2022-11-23 01:29:45,514] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m3/cm3whmomlpxogmxkvyi5rhbkvzhk6lxlrlxm23pldkegbvyi7jqk.py
2022-11-23T01:32:31.4115415Z [2022-11-23 01:29:45,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508
2022-11-23T01:32:31.4115655Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4115962Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4116183Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4116439Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4116719Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4117040Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4117386Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4117704Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4118107Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:31.4118213Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4118367Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4118458Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4118556Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4118653Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4118749Z               10 BUILD_LIST               2
2022-11-23T01:32:31.4118843Z               12 CALL_METHOD              2
2022-11-23T01:32:31.4118925Z               14 RETURN_VALUE
2022-11-23T01:32:31.4118992Z  
2022-11-23T01:32:31.4118997Z 
2022-11-23T01:32:31.4119307Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:31.4119530Z [2022-11-23 01:29:45,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4119845Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4120101Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4120380Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4120685Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4121016Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4121328Z [2022-11-23 01:29:45,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4121583Z [2022-11-23 01:29:45,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4121967Z [2022-11-23 01:29:45,525] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:31.4122218Z [2022-11-23 01:29:45,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4122449Z [2022-11-23 01:29:45,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4122712Z [2022-11-23 01:29:45,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4122969Z [2022-11-23 01:29:45,529] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4123164Z [2022-11-23 01:29:45,529] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4123311Z  __compiled_fn_519 <eval_with_key>.3210 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4123411Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4123508Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4123599Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4123720Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:31.4123826Z output, output, output, ((index,),), {}
2022-11-23T01:32:31.4123831Z 
2022-11-23T01:32:31.4124159Z [2022-11-23 01:29:45,529] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4124262Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4124360Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4124456Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4124560Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4124653Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4124769Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4124871Z              12 RETURN_VALUE
2022-11-23T01:32:31.4124876Z 
2022-11-23T01:32:31.4124944Z  
2022-11-23T01:32:31.4125264Z [2022-11-23 01:29:45,529] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4125382Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_519)
2022-11-23T01:32:31.4125480Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4125577Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4125653Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4125749Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4125846Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4125930Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4126024Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4126118Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4126201Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4126291Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4126393Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4126476Z              24 RETURN_VALUE
2022-11-23T01:32:31.4126481Z 
2022-11-23T01:32:31.4126546Z  
2022-11-23T01:32:31.4126733Z [2022-11-23 01:29:45,530] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4126809Z  - 
2022-11-23T01:32:31.4126934Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4127006Z             {
2022-11-23T01:32:31.4127143Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4127334Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4127459Z                 'obj_weakref': None
2022-11-23T01:32:31.4127685Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4127755Z             }
2022-11-23T01:32:31.4127825Z             
2022-11-23T01:32:31.4127905Z  - 
2022-11-23T01:32:31.4128027Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4128102Z             {
2022-11-23T01:32:31.4128250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4128362Z                 'code': None,
2022-11-23T01:32:31.4128575Z                 'obj_weakref': <weakref at 0x7f20727e18a0; to 'Tensor' at 0x7f2068121580>
2022-11-23T01:32:31.4128823Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4128891Z             }
2022-11-23T01:32:31.4128953Z             
2022-11-23T01:32:31.4129029Z  - 
2022-11-23T01:32:31.4129156Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4129227Z             {
2022-11-23T01:32:31.4129376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4129490Z                 'code': None,
2022-11-23T01:32:31.4129703Z                 'obj_weakref': <weakref at 0x7f201e6b5d00; to 'Tensor' at 0x7f1ff8149490>
2022-11-23T01:32:31.4129949Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4130022Z             }
2022-11-23T01:32:31.4130091Z             
2022-11-23T01:32:31.4130167Z  - 
2022-11-23T01:32:31.4130297Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4130369Z             {
2022-11-23T01:32:31.4130516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4130621Z                 'code': None,
2022-11-23T01:32:31.4130835Z                 'obj_weakref': <weakref at 0x7f201e6e0270; to 'Tensor' at 0x7f1ff814a570>
2022-11-23T01:32:31.4131085Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4131155Z             }
2022-11-23T01:32:31.4131224Z             
2022-11-23T01:32:31.4131299Z  - 
2022-11-23T01:32:31.4131436Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4131498Z             {
2022-11-23T01:32:31.4131675Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4131883Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4132008Z                 'obj_weakref': None
2022-11-23T01:32:31.4132242Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4132312Z             }
2022-11-23T01:32:31.4132381Z             
2022-11-23T01:32:31.4132452Z  - 
2022-11-23T01:32:31.4132579Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4132648Z             {
2022-11-23T01:32:31.4132790Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4133010Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4133133Z                 'obj_weakref': None
2022-11-23T01:32:31.4133359Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4133421Z             }
2022-11-23T01:32:31.4133492Z             
2022-11-23T01:32:31.4133572Z  - 
2022-11-23T01:32:31.4133708Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4133777Z             {
2022-11-23T01:32:31.4133902Z                 'guard_types': None,
2022-11-23T01:32:31.4134006Z                 'code': None,
2022-11-23T01:32:31.4134130Z                 'obj_weakref': None
2022-11-23T01:32:31.4134255Z                 'guarded_class': None
2022-11-23T01:32:31.4134324Z             }
2022-11-23T01:32:31.4134397Z             
2022-11-23T01:32:31.4134659Z [2022-11-23 01:29:45,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509
2022-11-23T01:32:31.4134910Z [2022-11-23 01:29:45,540] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4135270Z [2022-11-23 01:29:45,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jt/cjtjhqc556p25zecjns7hf26tb4yf6thibegitr26gxfr276j2v5.py
2022-11-23T01:32:31.4135532Z [2022-11-23 01:29:45,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509
2022-11-23T01:32:31.4135778Z [2022-11-23 01:29:45,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4136094Z [2022-11-23 01:29:45,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4136315Z [2022-11-23 01:29:45,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4136570Z [2022-11-23 01:29:45,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4136846Z [2022-11-23 01:29:45,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4137163Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4137507Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4137829Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4138200Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:31.4138296Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4138396Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4138494Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4138590Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4138685Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4139046Z               10 BUILD_LIST               2
2022-11-23T01:32:31.4139148Z               12 CALL_METHOD              2
2022-11-23T01:32:31.4139259Z               14 RETURN_VALUE
2022-11-23T01:32:31.4139319Z  
2022-11-23T01:32:31.4139325Z 
2022-11-23T01:32:31.4139645Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:31.4139866Z [2022-11-23 01:29:45,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4140174Z [2022-11-23 01:29:45,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4140436Z [2022-11-23 01:29:45,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4140720Z [2022-11-23 01:29:45,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4141034Z [2022-11-23 01:29:45,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4141377Z [2022-11-23 01:29:45,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4141691Z [2022-11-23 01:29:45,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4141947Z [2022-11-23 01:29:45,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4142323Z [2022-11-23 01:29:45,620] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:31.4142576Z [2022-11-23 01:29:45,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4142814Z [2022-11-23 01:29:45,620] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4143076Z [2022-11-23 01:29:45,621] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4143326Z [2022-11-23 01:29:45,624] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4143521Z [2022-11-23 01:29:45,624] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4143663Z  __compiled_fn_520 <eval_with_key>.3216 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4143759Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4143846Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4143939Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4144069Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:31.4144173Z output, output, output, ((index,),), {}
2022-11-23T01:32:31.4144178Z 
2022-11-23T01:32:31.4144505Z [2022-11-23 01:29:45,624] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4144607Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4144705Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4144798Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4144891Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4144986Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4145081Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4145166Z              12 RETURN_VALUE
2022-11-23T01:32:31.4145171Z 
2022-11-23T01:32:31.4145239Z  
2022-11-23T01:32:31.4145555Z [2022-11-23 01:29:45,624] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4145674Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_520)
2022-11-23T01:32:31.4145803Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4145911Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4145995Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4146090Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4146189Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4146272Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4146368Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4146464Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4146538Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4146634Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4146731Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4146812Z              24 RETURN_VALUE
2022-11-23T01:32:31.4146818Z 
2022-11-23T01:32:31.4146882Z  
2022-11-23T01:32:31.4147071Z [2022-11-23 01:29:45,625] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4147147Z  - 
2022-11-23T01:32:31.4147267Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4147340Z             {
2022-11-23T01:32:31.4147488Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4147682Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4147805Z                 'obj_weakref': None
2022-11-23T01:32:31.4148032Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4148102Z             }
2022-11-23T01:32:31.4148164Z             
2022-11-23T01:32:31.4148241Z  - 
2022-11-23T01:32:31.4148369Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4148438Z             {
2022-11-23T01:32:31.4148585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4148703Z                 'code': None,
2022-11-23T01:32:31.4148918Z                 'obj_weakref': <weakref at 0x7f201e6eae30; to 'Tensor' at 0x7f1fead4c0e0>
2022-11-23T01:32:31.4149163Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4149236Z             }
2022-11-23T01:32:31.4149304Z             
2022-11-23T01:32:31.4149381Z  - 
2022-11-23T01:32:31.4149508Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4149577Z             {
2022-11-23T01:32:31.4149724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4149830Z                 'code': None,
2022-11-23T01:32:31.4150049Z                 'obj_weakref': <weakref at 0x7f201e6eb560; to 'Tensor' at 0x7f1fead4cae0>
2022-11-23T01:32:31.4150379Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4150457Z             }
2022-11-23T01:32:31.4150527Z             
2022-11-23T01:32:31.4150605Z  - 
2022-11-23T01:32:31.4150734Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4150795Z             {
2022-11-23T01:32:31.4150943Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4151061Z                 'code': None,
2022-11-23T01:32:31.4151275Z                 'obj_weakref': <weakref at 0x7f201e6ebab0; to 'Tensor' at 0x7f1fead4cd60>
2022-11-23T01:32:31.4151517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4151590Z             }
2022-11-23T01:32:31.4151660Z             
2022-11-23T01:32:31.4151728Z  - 
2022-11-23T01:32:31.4151863Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4151931Z             {
2022-11-23T01:32:31.4152071Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4152247Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4152371Z                 'obj_weakref': None
2022-11-23T01:32:31.4152603Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4152664Z             }
2022-11-23T01:32:31.4152735Z             
2022-11-23T01:32:31.4152846Z  - 
2022-11-23T01:32:31.4152975Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4153099Z             {
2022-11-23T01:32:31.4153240Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4153463Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4153580Z                 'obj_weakref': None
2022-11-23T01:32:31.4153807Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4153879Z             }
2022-11-23T01:32:31.4153948Z             
2022-11-23T01:32:31.4154024Z  - 
2022-11-23T01:32:31.4154163Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4154233Z             {
2022-11-23T01:32:31.4154351Z                 'guard_types': None,
2022-11-23T01:32:31.4154464Z                 'code': None,
2022-11-23T01:32:31.4154588Z                 'obj_weakref': None
2022-11-23T01:32:31.4154716Z                 'guarded_class': None
2022-11-23T01:32:31.4154792Z             }
2022-11-23T01:32:31.4154865Z             
2022-11-23T01:32:31.4155127Z [2022-11-23 01:29:45,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510
2022-11-23T01:32:31.4155368Z [2022-11-23 01:29:45,640] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4155728Z [2022-11-23 01:29:45,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/75/c75s442ayppii2lbk3hszyhzxzdvuz6ovzezhovm5qzcjicqesql.py
2022-11-23T01:32:31.4155995Z [2022-11-23 01:29:45,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510
2022-11-23T01:32:31.4156238Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4156550Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4156777Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4157039Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4157323Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4157644Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4157993Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4158308Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4158688Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:31.4158794Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4158893Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4158993Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4159090Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4159186Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4159282Z               10 BUILD_LIST               2
2022-11-23T01:32:31.4159369Z               12 CALL_METHOD              2
2022-11-23T01:32:31.4159451Z               14 RETURN_VALUE
2022-11-23T01:32:31.4159517Z  
2022-11-23T01:32:31.4159523Z 
2022-11-23T01:32:31.4159833Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:32:31.4160083Z [2022-11-23 01:29:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4160415Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4160674Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4160952Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4161256Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4161580Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4161897Z [2022-11-23 01:29:45,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4162152Z [2022-11-23 01:29:45,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4162537Z [2022-11-23 01:29:45,737] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:31.4162808Z [2022-11-23 01:29:45,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4163074Z [2022-11-23 01:29:45,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4163333Z [2022-11-23 01:29:45,738] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4163589Z [2022-11-23 01:29:45,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4163789Z [2022-11-23 01:29:45,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4163937Z  __compiled_fn_521 <eval_with_key>.3222 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4164026Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4164120Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4164212Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4164340Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:31.4164442Z output, output, output, ((index,),), {}
2022-11-23T01:32:31.4164448Z 
2022-11-23T01:32:31.4164782Z [2022-11-23 01:29:45,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4164882Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4164979Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4165066Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4165171Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4165267Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4165362Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4165443Z              12 RETURN_VALUE
2022-11-23T01:32:31.4165448Z 
2022-11-23T01:32:31.4165514Z  
2022-11-23T01:32:31.4165839Z [2022-11-23 01:29:45,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4165951Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_521)
2022-11-23T01:32:31.4166049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4166147Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4166234Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4166331Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4166426Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4166507Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4166633Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4166739Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4166821Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4166916Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4167013Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4167096Z              24 RETURN_VALUE
2022-11-23T01:32:31.4167101Z 
2022-11-23T01:32:31.4167167Z  
2022-11-23T01:32:31.4167356Z [2022-11-23 01:29:45,742] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4167425Z  - 
2022-11-23T01:32:31.4167549Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4167620Z             {
2022-11-23T01:32:31.4167767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4167956Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4168081Z                 'obj_weakref': None
2022-11-23T01:32:31.4168310Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4168375Z             }
2022-11-23T01:32:31.4168443Z             
2022-11-23T01:32:31.4168518Z  - 
2022-11-23T01:32:31.4168649Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4168718Z             {
2022-11-23T01:32:31.4168867Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4168980Z                 'code': None,
2022-11-23T01:32:31.4169191Z                 'obj_weakref': <weakref at 0x7f201e6bb970; to 'Tensor' at 0x7f1fead4da80>
2022-11-23T01:32:31.4169446Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4169516Z             }
2022-11-23T01:32:31.4169585Z             
2022-11-23T01:32:31.4169660Z  - 
2022-11-23T01:32:31.4169793Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4169862Z             {
2022-11-23T01:32:31.4170003Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4170117Z                 'code': None,
2022-11-23T01:32:31.4170330Z                 'obj_weakref': <weakref at 0x7f201e6eb560; to 'Tensor' at 0x7f1fead4cae0>
2022-11-23T01:32:31.4170585Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4170653Z             }
2022-11-23T01:32:31.4170722Z             
2022-11-23T01:32:31.4170798Z  - 
2022-11-23T01:32:31.4170919Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4170988Z             {
2022-11-23T01:32:31.4171136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4171249Z                 'code': None,
2022-11-23T01:32:31.4171463Z                 'obj_weakref': <weakref at 0x7f201e6ebab0; to 'Tensor' at 0x7f1fead4cd60>
2022-11-23T01:32:31.4171716Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4171786Z             }
2022-11-23T01:32:31.4171847Z             
2022-11-23T01:32:31.4171922Z  - 
2022-11-23T01:32:31.4172058Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4172129Z             {
2022-11-23T01:32:31.4172268Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4172446Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4172571Z                 'obj_weakref': None
2022-11-23T01:32:31.4172795Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4172866Z             }
2022-11-23T01:32:31.4172937Z             
2022-11-23T01:32:31.4173012Z  - 
2022-11-23T01:32:31.4173139Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4173207Z             {
2022-11-23T01:32:31.4173349Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4173567Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4173691Z                 'obj_weakref': None
2022-11-23T01:32:31.4173949Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4174038Z             }
2022-11-23T01:32:31.4174107Z             
2022-11-23T01:32:31.4174185Z  - 
2022-11-23T01:32:31.4174324Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4174386Z             {
2022-11-23T01:32:31.4174513Z                 'guard_types': None,
2022-11-23T01:32:31.4174626Z                 'code': None,
2022-11-23T01:32:31.4174749Z                 'obj_weakref': None
2022-11-23T01:32:31.4174876Z                 'guarded_class': None
2022-11-23T01:32:31.4174945Z             }
2022-11-23T01:32:31.4175006Z             
2022-11-23T01:32:31.4175269Z [2022-11-23 01:29:45,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511
2022-11-23T01:32:31.4175520Z [2022-11-23 01:29:45,754] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4175526Z 
2022-11-23T01:32:31.4175628Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4175705Z import torch
2022-11-23T01:32:31.4175783Z import random
2022-11-23T01:32:31.4175906Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4176034Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4176039Z 
2022-11-23T01:32:31.4176116Z aten = torch.ops.aten
2022-11-23T01:32:31.4176260Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4176358Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4176363Z 
2022-11-23T01:32:31.4176438Z import triton
2022-11-23T01:32:31.4176532Z import triton.language as tl
2022-11-23T01:32:31.4176660Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4176808Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4176813Z 
2022-11-23T01:32:31.4176818Z 
2022-11-23T01:32:31.4176977Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4177045Z import triton
2022-11-23T01:32:31.4177139Z import triton.language as tl
2022-11-23T01:32:31.4177258Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4177364Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4177503Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4177635Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4177640Z 
2022-11-23T01:32:31.4178043Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4178118Z @triton.jit
2022-11-23T01:32:31.4178263Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4178339Z     xnumel = 48
2022-11-23T01:32:31.4178438Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4178571Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4178660Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4178745Z     x1 = (xindex // 12)
2022-11-23T01:32:31.4179126Z     x0 = xindex % 12
2022-11-23T01:32:31.4179194Z     x2 = xindex
2022-11-23T01:32:31.4179297Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4179396Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:31.4179550Z     tmp2 = tl.load(in_ptr2 + (x0 + (12*tmp1) + (96*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.4179686Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4179780Z ''')
2022-11-23T01:32:31.4179786Z 
2022-11-23T01:32:31.4179791Z 
2022-11-23T01:32:31.4179889Z async_compile.wait(globals())
2022-11-23T01:32:31.4179968Z del async_compile
2022-11-23T01:32:31.4179973Z 
2022-11-23T01:32:31.4180042Z def call(args):
2022-11-23T01:32:31.4180130Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4180207Z     args.clear()
2022-11-23T01:32:31.4180412Z     buf0 = empty_strided((4, 12), (12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4180556Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4180748Z     triton_fused_index0.run(arg1_1, arg2_1, arg0_1, buf0, 48, grid=grid(48), stream=stream0)
2022-11-23T01:32:31.4180822Z     del arg0_1
2022-11-23T01:32:31.4180888Z     del arg1_1
2022-11-23T01:32:31.4180961Z     del arg2_1
2022-11-23T01:32:31.4181038Z     return (buf0, )
2022-11-23T01:32:31.4181043Z 
2022-11-23T01:32:31.4181048Z 
2022-11-23T01:32:31.4181130Z if __name__ == "__main__":
2022-11-23T01:32:31.4181251Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4181382Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4181596Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4181790Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4181970Z     arg2_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4182103Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4182109Z 
2022-11-23T01:32:31.4182116Z 
2022-11-23T01:32:31.4182217Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4182294Z import torch
2022-11-23T01:32:31.4182370Z import random
2022-11-23T01:32:31.4182493Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4182621Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4182626Z 
2022-11-23T01:32:31.4182710Z aten = torch.ops.aten
2022-11-23T01:32:31.4182844Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4182941Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4182946Z 
2022-11-23T01:32:31.4183021Z import triton
2022-11-23T01:32:31.4183116Z import triton.language as tl
2022-11-23T01:32:31.4183245Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4183389Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4183394Z 
2022-11-23T01:32:31.4183399Z 
2022-11-23T01:32:31.4183563Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4183642Z import triton
2022-11-23T01:32:31.4183729Z import triton.language as tl
2022-11-23T01:32:31.4183844Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4183948Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4184086Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4184215Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4184221Z 
2022-11-23T01:32:31.4184616Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4184693Z @triton.jit
2022-11-23T01:32:31.4184847Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4184915Z     xnumel = 48
2022-11-23T01:32:31.4185015Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4185150Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4185238Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4185320Z     x1 = (xindex // 12)
2022-11-23T01:32:31.4185397Z     x0 = xindex % 12
2022-11-23T01:32:31.4185462Z     x2 = xindex
2022-11-23T01:32:31.4185562Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4185660Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:31.4185828Z     tmp2 = tl.load(in_ptr2 + (x0 + (12*tmp1) + (96*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.4185966Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4186053Z ''')
2022-11-23T01:32:31.4186058Z 
2022-11-23T01:32:31.4186063Z 
2022-11-23T01:32:31.4186156Z async_compile.wait(globals())
2022-11-23T01:32:31.4186235Z del async_compile
2022-11-23T01:32:31.4186241Z 
2022-11-23T01:32:31.4186309Z def call(args):
2022-11-23T01:32:31.4186397Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4186505Z     args.clear()
2022-11-23T01:32:31.4186726Z     buf0 = empty_strided((4, 12), (12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4186819Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4186973Z     triton_fused_index0.run(arg1_1, arg2_1, arg0_1, buf0, 48, grid=grid(48), stream=stream0)
2022-11-23T01:32:31.4187047Z     del arg0_1
2022-11-23T01:32:31.4187113Z     del arg1_1
2022-11-23T01:32:31.4187186Z     del arg2_1
2022-11-23T01:32:31.4187263Z     return (buf0, )
2022-11-23T01:32:31.4187268Z 
2022-11-23T01:32:31.4187273Z 
2022-11-23T01:32:31.4187355Z if __name__ == "__main__":
2022-11-23T01:32:31.4187476Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4187605Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4187816Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4188006Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4188192Z     arg2_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4188322Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4188328Z 
2022-11-23T01:32:31.4188332Z 
2022-11-23T01:32:31.4188431Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4188507Z import torch
2022-11-23T01:32:31.4188583Z import random
2022-11-23T01:32:31.4188704Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4188830Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4188836Z 
2022-11-23T01:32:31.4188919Z aten = torch.ops.aten
2022-11-23T01:32:31.4189052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4189149Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4189155Z 
2022-11-23T01:32:31.4189230Z import triton
2022-11-23T01:32:31.4189324Z import triton.language as tl
2022-11-23T01:32:31.4189450Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4189595Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4189602Z 
2022-11-23T01:32:31.4189606Z 
2022-11-23T01:32:31.4189765Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4189841Z import triton
2022-11-23T01:32:31.4189927Z import triton.language as tl
2022-11-23T01:32:31.4190042Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4190146Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4190347Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4190492Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4190499Z 
2022-11-23T01:32:31.4190917Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4190992Z @triton.jit
2022-11-23T01:32:31.4191149Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4191220Z     xnumel = 192
2022-11-23T01:32:31.4191319Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4191453Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4191538Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4191620Z     x1 = (xindex // 12) % 4
2022-11-23T01:32:31.4191699Z     x2 = (xindex // 48)
2022-11-23T01:32:31.4191775Z     x0 = xindex % 12
2022-11-23T01:32:31.4191839Z     x4 = xindex
2022-11-23T01:32:31.4191942Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4192040Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.4192193Z     tmp2 = tl.load(in_ptr2 + (x0 + (12*tmp1) + (96*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.4192328Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4192415Z ''')
2022-11-23T01:32:31.4192421Z 
2022-11-23T01:32:31.4192425Z 
2022-11-23T01:32:31.4192550Z async_compile.wait(globals())
2022-11-23T01:32:31.4192623Z del async_compile
2022-11-23T01:32:31.4192659Z 
2022-11-23T01:32:31.4192728Z def call(args):
2022-11-23T01:32:31.4192816Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4192893Z     args.clear()
2022-11-23T01:32:31.4193102Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4193197Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4193352Z     triton_fused_index0.run(arg1_1, arg2_1, arg0_1, buf0, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:31.4193427Z     del arg0_1
2022-11-23T01:32:31.4193493Z     del arg1_1
2022-11-23T01:32:31.4193565Z     del arg2_1
2022-11-23T01:32:31.4193644Z     return (buf0, )
2022-11-23T01:32:31.4193649Z 
2022-11-23T01:32:31.4193654Z 
2022-11-23T01:32:31.4193735Z if __name__ == "__main__":
2022-11-23T01:32:31.4193856Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4193985Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4194195Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4194386Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4194579Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4194707Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4194713Z 
2022-11-23T01:32:31.4195084Z [2022-11-23 01:29:45,839] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fb/cfbocgbfuqaeehzbndr5ytuuzqxqm3gozvznywdnpgmdustbsmv3.py
2022-11-23T01:32:31.4195353Z [2022-11-23 01:29:45,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511
2022-11-23T01:32:31.4195359Z 
2022-11-23T01:32:31.4195459Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4195535Z import torch
2022-11-23T01:32:31.4195611Z import random
2022-11-23T01:32:31.4195733Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4195854Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4195861Z 
2022-11-23T01:32:31.4195945Z aten = torch.ops.aten
2022-11-23T01:32:31.4196090Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4196188Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4196194Z 
2022-11-23T01:32:31.4196269Z import triton
2022-11-23T01:32:31.4196363Z import triton.language as tl
2022-11-23T01:32:31.4196491Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4196627Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4196640Z 
2022-11-23T01:32:31.4196644Z 
2022-11-23T01:32:31.4196795Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4196872Z import triton
2022-11-23T01:32:31.4196966Z import triton.language as tl
2022-11-23T01:32:31.4197083Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4197186Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4197327Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4197457Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4197463Z 
2022-11-23T01:32:31.4197863Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4197931Z @triton.jit
2022-11-23T01:32:31.4198083Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4198158Z     xnumel = 192
2022-11-23T01:32:31.4198275Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4198426Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4198527Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4198608Z     x1 = (xindex // 12) % 4
2022-11-23T01:32:31.4198681Z     x2 = (xindex // 48)
2022-11-23T01:32:31.4198758Z     x0 = xindex % 12
2022-11-23T01:32:31.4198863Z     x4 = xindex
2022-11-23T01:32:31.4198982Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4199082Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.4199250Z     tmp2 = tl.load(in_ptr2 + (x0 + (12*tmp1) + (96*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.4199387Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4199468Z ''')
2022-11-23T01:32:31.4199474Z 
2022-11-23T01:32:31.4199486Z 
2022-11-23T01:32:31.4199573Z async_compile.wait(globals())
2022-11-23T01:32:31.4199650Z del async_compile
2022-11-23T01:32:31.4199656Z 
2022-11-23T01:32:31.4199732Z def call(args):
2022-11-23T01:32:31.4199820Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4199896Z     args.clear()
2022-11-23T01:32:31.4200106Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4200200Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4200350Z     triton_fused_index0.run(arg1_1, arg2_1, arg0_1, buf0, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:31.4200429Z     del arg0_1
2022-11-23T01:32:31.4200502Z     del arg1_1
2022-11-23T01:32:31.4200574Z     del arg2_1
2022-11-23T01:32:31.4200650Z     return (buf0, )
2022-11-23T01:32:31.4200656Z 
2022-11-23T01:32:31.4200660Z 
2022-11-23T01:32:31.4200743Z if __name__ == "__main__":
2022-11-23T01:32:31.4200864Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4200985Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4201194Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4201389Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4201580Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4201711Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4201717Z 
2022-11-23T01:32:31.4201791Z ok (0.616s)
2022-11-23T01:32:31.4202098Z   test_index2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4202422Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4202640Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4202887Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4203165Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4203487Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4203840Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4204207Z [2022-11-23 01:29:45,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4204598Z [2022-11-23 01:29:45,845] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833> 
2022-11-23T01:32:31.4204700Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4204801Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4204898Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4204987Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4205084Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4205178Z               10 CALL_METHOD              2
2022-11-23T01:32:31.4205210Z 
2022-11-23T01:32:31.4205312Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4205431Z               14 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4205526Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4205630Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4205727Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4205813Z               22 BUILD_LIST               2
2022-11-23T01:32:31.4205907Z               24 CALL_METHOD              2
2022-11-23T01:32:31.4205912Z 
2022-11-23T01:32:31.4206008Z 2834          26 BUILD_TUPLE              2
2022-11-23T01:32:31.4206091Z               28 RETURN_VALUE
2022-11-23T01:32:31.4206159Z  
2022-11-23T01:32:31.4206164Z 
2022-11-23T01:32:31.4206482Z [2022-11-23 01:29:45,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835
2022-11-23T01:32:31.4206704Z [2022-11-23 01:29:45,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4207013Z [2022-11-23 01:29:45,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4207260Z [2022-11-23 01:29:45,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4207547Z [2022-11-23 01:29:45,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4207860Z [2022-11-23 01:29:45,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4208176Z [2022-11-23 01:29:45,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4208497Z [2022-11-23 01:29:45,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836
2022-11-23T01:32:31.4208750Z [2022-11-23 01:29:45,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.4209088Z [2022-11-23 01:29:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4209371Z [2022-11-23 01:29:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T01:32:31.4209691Z [2022-11-23 01:29:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4210044Z [2022-11-23 01:29:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4210430Z [2022-11-23 01:29:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4210770Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4211077Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834
2022-11-23T01:32:31.4211351Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4211603Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4211984Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833>
2022-11-23T01:32:31.4212260Z [2022-11-23 01:29:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4212536Z [2022-11-23 01:29:45,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4212835Z [2022-11-23 01:29:45,860] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4213089Z [2022-11-23 01:29:45,863] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4213285Z [2022-11-23 01:29:45,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4213420Z  __compiled_fn_522 <eval_with_key>.3228 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4213514Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4213607Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4213729Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:31.4213859Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T01:32:31.4213979Z output, output, output, ((index, index_1),), {}
2022-11-23T01:32:31.4213985Z 
2022-11-23T01:32:31.4214313Z [2022-11-23 01:29:45,863] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4214413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4214503Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4214597Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4214697Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4214788Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4214885Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4214966Z              12 RETURN_VALUE
2022-11-23T01:32:31.4214972Z 
2022-11-23T01:32:31.4215037Z  
2022-11-23T01:32:31.4215358Z [2022-11-23 01:29:45,863] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4215471Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_522)
2022-11-23T01:32:31.4215567Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4215664Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4215749Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4215843Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4215937Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4216018Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4216104Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.4216216Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4216326Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4216422Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4216503Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.4216614Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4216709Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4216785Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4216878Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.4216959Z              32 RETURN_VALUE
2022-11-23T01:32:31.4216964Z 
2022-11-23T01:32:31.4217031Z  
2022-11-23T01:32:31.4217221Z [2022-11-23 01:29:45,864] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4217296Z  - 
2022-11-23T01:32:31.4217421Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4217483Z             {
2022-11-23T01:32:31.4217630Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4217821Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.4217945Z                 'obj_weakref': None
2022-11-23T01:32:31.4218171Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4218241Z             }
2022-11-23T01:32:31.4218340Z             
2022-11-23T01:32:31.4218426Z  - 
2022-11-23T01:32:31.4218553Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4218624Z             {
2022-11-23T01:32:31.4218772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4219079Z                 'code': None,
2022-11-23T01:32:31.4219295Z                 'obj_weakref': <weakref at 0x7f1fe03ae8e0; to 'Tensor' at 0x7f2115e25e40>
2022-11-23T01:32:31.4219544Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4219613Z             }
2022-11-23T01:32:31.4219674Z             
2022-11-23T01:32:31.4219749Z  - 
2022-11-23T01:32:31.4219876Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4219949Z             {
2022-11-23T01:32:31.4220098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4220214Z                 'code': None,
2022-11-23T01:32:31.4220423Z                 'obj_weakref': <weakref at 0x7f1fe03ad030; to 'Tensor' at 0x7f201e6b8770>
2022-11-23T01:32:31.4220681Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4220750Z             }
2022-11-23T01:32:31.4220819Z             
2022-11-23T01:32:31.4220894Z  - 
2022-11-23T01:32:31.4221031Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4221101Z             {
2022-11-23T01:32:31.4221233Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4221410Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4221541Z                 'obj_weakref': None
2022-11-23T01:32:31.4221773Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4221844Z             }
2022-11-23T01:32:31.4221916Z             
2022-11-23T01:32:31.4222010Z  - 
2022-11-23T01:32:31.4222143Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4222224Z             {
2022-11-23T01:32:31.4222369Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4222592Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4222715Z                 'obj_weakref': None
2022-11-23T01:32:31.4222935Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4223002Z             }
2022-11-23T01:32:31.4223063Z             
2022-11-23T01:32:31.4223138Z  - 
2022-11-23T01:32:31.4223273Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4223343Z             {
2022-11-23T01:32:31.4223467Z                 'guard_types': None,
2022-11-23T01:32:31.4223579Z                 'code': None,
2022-11-23T01:32:31.4223701Z                 'obj_weakref': None
2022-11-23T01:32:31.4223820Z                 'guarded_class': None
2022-11-23T01:32:31.4223890Z             }
2022-11-23T01:32:31.4223958Z             
2022-11-23T01:32:31.4224223Z [2022-11-23 01:29:45,868] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512
2022-11-23T01:32:31.4224475Z [2022-11-23 01:29:45,886] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4224721Z [2022-11-23 01:29:45,889] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4225091Z [2022-11-23 01:29:45,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lp/clpytkumnyhwra7y6fut66crcltty25fhgrvpfbryupex4nw5tht.py
2022-11-23T01:32:31.4225358Z [2022-11-23 01:29:45,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512
2022-11-23T01:32:31.4225591Z [2022-11-23 01:29:45,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4225907Z [2022-11-23 01:29:45,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4226204Z [2022-11-23 01:29:45,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4226495Z [2022-11-23 01:29:45,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4226774Z [2022-11-23 01:29:45,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4227092Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4227434Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4227753Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4228126Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833> 
2022-11-23T01:32:31.4228232Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4228325Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4228422Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4228520Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4228616Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4228710Z               10 CALL_METHOD              2
2022-11-23T01:32:31.4228716Z 
2022-11-23T01:32:31.4228817Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.4228916Z               14 LOAD_METHOD              1 (index)
2022-11-23T01:32:31.4229011Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4229102Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4229198Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4229295Z               22 BUILD_LIST               2
2022-11-23T01:32:31.4229390Z               24 CALL_METHOD              2
2022-11-23T01:32:31.4229395Z 
2022-11-23T01:32:31.4229488Z 2834          26 BUILD_TUPLE              2
2022-11-23T01:32:31.4229569Z               28 RETURN_VALUE
2022-11-23T01:32:31.4229635Z  
2022-11-23T01:32:31.4229640Z 
2022-11-23T01:32:31.4229959Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835
2022-11-23T01:32:31.4230175Z [2022-11-23 01:29:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.4230586Z [2022-11-23 01:29:45,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4230843Z [2022-11-23 01:29:45,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:31.4231129Z [2022-11-23 01:29:45,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4231447Z [2022-11-23 01:29:45,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4231756Z [2022-11-23 01:29:45,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4232069Z [2022-11-23 01:29:45,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836
2022-11-23T01:32:31.4232319Z [2022-11-23 01:29:45,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.4232655Z [2022-11-23 01:29:45,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4232968Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T01:32:31.4233284Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:31.4233641Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4234024Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4234355Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4234666Z [2022-11-23 01:29:45,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834
2022-11-23T01:32:31.4234938Z [2022-11-23 01:29:46,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4235184Z [2022-11-23 01:29:46,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4235556Z [2022-11-23 01:29:46,000] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833>
2022-11-23T01:32:31.4235804Z [2022-11-23 01:29:46,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4236044Z [2022-11-23 01:29:46,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4236302Z [2022-11-23 01:29:46,001] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4236552Z [2022-11-23 01:29:46,004] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4236750Z [2022-11-23 01:29:46,004] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4236893Z  __compiled_fn_523 <eval_with_key>.3234 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4236988Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4237082Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4237203Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:31.4237332Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T01:32:31.4237446Z output, output, output, ((index, index_1),), {}
2022-11-23T01:32:31.4237451Z 
2022-11-23T01:32:31.4237768Z [2022-11-23 01:29:46,004] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4237868Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4237966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4238062Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4238165Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4238256Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4238352Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4238434Z              12 RETURN_VALUE
2022-11-23T01:32:31.4238439Z 
2022-11-23T01:32:31.4238498Z  
2022-11-23T01:32:31.4238815Z [2022-11-23 01:29:46,004] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4238932Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_523)
2022-11-23T01:32:31.4239026Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4239122Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4239208Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4239328Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4239416Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4239517Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4239612Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.4239726Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4239839Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4239933Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4240017Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.4240118Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4240213Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4240294Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4240388Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.4240469Z              32 RETURN_VALUE
2022-11-23T01:32:31.4240474Z 
2022-11-23T01:32:31.4240540Z  
2022-11-23T01:32:31.4240729Z [2022-11-23 01:29:46,005] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4240808Z  - 
2022-11-23T01:32:31.4240925Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4240993Z             {
2022-11-23T01:32:31.4241143Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4241333Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.4241458Z                 'obj_weakref': None
2022-11-23T01:32:31.4241684Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4241755Z             }
2022-11-23T01:32:31.4241816Z             
2022-11-23T01:32:31.4241891Z  - 
2022-11-23T01:32:31.4242019Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4242087Z             {
2022-11-23T01:32:31.4242234Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4242347Z                 'code': None,
2022-11-23T01:32:31.4242557Z                 'obj_weakref': <weakref at 0x7f1fead4eca0; to 'Tensor' at 0x7f2115e25490>
2022-11-23T01:32:31.4242807Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4242880Z             }
2022-11-23T01:32:31.4242949Z             
2022-11-23T01:32:31.4243024Z  - 
2022-11-23T01:32:31.4243152Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4243219Z             {
2022-11-23T01:32:31.4243360Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4243472Z                 'code': None,
2022-11-23T01:32:31.4243686Z                 'obj_weakref': <weakref at 0x7f1fe03ad030; to 'Tensor' at 0x7f201e6b8770>
2022-11-23T01:32:31.4243936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4244005Z             }
2022-11-23T01:32:31.4244072Z             
2022-11-23T01:32:31.4244147Z  - 
2022-11-23T01:32:31.4244280Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4244342Z             {
2022-11-23T01:32:31.4244481Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4244659Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4244783Z                 'obj_weakref': None
2022-11-23T01:32:31.4245013Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4245082Z             }
2022-11-23T01:32:31.4245150Z             
2022-11-23T01:32:31.4245218Z  - 
2022-11-23T01:32:31.4245343Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4245411Z             {
2022-11-23T01:32:31.4245550Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4245768Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4245890Z                 'obj_weakref': None
2022-11-23T01:32:31.4246114Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4246176Z             }
2022-11-23T01:32:31.4246277Z             
2022-11-23T01:32:31.4246372Z  - 
2022-11-23T01:32:31.4246510Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.4246579Z             {
2022-11-23T01:32:31.4246704Z                 'guard_types': None,
2022-11-23T01:32:31.4246807Z                 'code': None,
2022-11-23T01:32:31.4246932Z                 'obj_weakref': None
2022-11-23T01:32:31.4247057Z                 'guarded_class': None
2022-11-23T01:32:31.4247125Z             }
2022-11-23T01:32:31.4247194Z             
2022-11-23T01:32:31.4247457Z [2022-11-23 01:29:46,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513
2022-11-23T01:32:31.4247706Z [2022-11-23 01:29:46,019] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4247949Z [2022-11-23 01:29:46,022] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4248306Z [2022-11-23 01:29:46,106] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3i/c3ibifs4xvzq754rywmgrxkutsdxzng5nj6agcpxtgvspripykze.py
2022-11-23T01:32:31.4248576Z [2022-11-23 01:29:46,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513
2022-11-23T01:32:31.4248582Z 
2022-11-23T01:32:31.4248683Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4248757Z import torch
2022-11-23T01:32:31.4248833Z import random
2022-11-23T01:32:31.4248959Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4249087Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4249092Z 
2022-11-23T01:32:31.4249176Z aten = torch.ops.aten
2022-11-23T01:32:31.4249310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4249408Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4249413Z 
2022-11-23T01:32:31.4249489Z import triton
2022-11-23T01:32:31.4249583Z import triton.language as tl
2022-11-23T01:32:31.4249715Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4249858Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4249866Z 
2022-11-23T01:32:31.4249871Z 
2022-11-23T01:32:31.4250030Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4250105Z import triton
2022-11-23T01:32:31.4250191Z import triton.language as tl
2022-11-23T01:32:31.4250307Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4250412Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4250547Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4250677Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4250683Z 
2022-11-23T01:32:31.4251070Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4251143Z @triton.jit
2022-11-23T01:32:31.4251290Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4251360Z     xnumel = 256
2022-11-23T01:32:31.4251460Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4251592Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4251677Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4251758Z     x1 = (xindex // 64)
2022-11-23T01:32:31.4251837Z     x0 = xindex % 64
2022-11-23T01:32:31.4251909Z     x2 = xindex
2022-11-23T01:32:31.4252001Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4252146Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.4252283Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4252373Z ''')
2022-11-23T01:32:31.4252378Z 
2022-11-23T01:32:31.4252383Z 
2022-11-23T01:32:31.4252545Z triton_fused_index_11 = async_compile.triton('''
2022-11-23T01:32:31.4252637Z import triton
2022-11-23T01:32:31.4252739Z import triton.language as tl
2022-11-23T01:32:31.4252901Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4253025Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4253164Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4253291Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4253297Z 
2022-11-23T01:32:31.4253682Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4253760Z @triton.jit
2022-11-23T01:32:31.4253910Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4253986Z     xnumel = 256
2022-11-23T01:32:31.4254077Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4254209Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4254293Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4254378Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.4254455Z     x0 = xindex % 8
2022-11-23T01:32:31.4254535Z     x2 = (xindex // 32)
2022-11-23T01:32:31.4254610Z     x3 = xindex
2022-11-23T01:32:31.4254701Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4254848Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.4254983Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4255071Z ''')
2022-11-23T01:32:31.4255076Z 
2022-11-23T01:32:31.4255081Z 
2022-11-23T01:32:31.4255175Z async_compile.wait(globals())
2022-11-23T01:32:31.4255253Z del async_compile
2022-11-23T01:32:31.4255258Z 
2022-11-23T01:32:31.4255333Z def call(args):
2022-11-23T01:32:31.4255414Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.4255482Z     args.clear()
2022-11-23T01:32:31.4255701Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4255798Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4255947Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.4256165Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4256313Z     triton_fused_index_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.4256388Z     del arg0_1
2022-11-23T01:32:31.4256453Z     del arg1_1
2022-11-23T01:32:31.4256539Z     return (buf0, buf1, )
2022-11-23T01:32:31.4256544Z 
2022-11-23T01:32:31.4256549Z 
2022-11-23T01:32:31.4256631Z if __name__ == "__main__":
2022-11-23T01:32:31.4256751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4256881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4257088Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4257282Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4257407Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.4257415Z 
2022-11-23T01:32:31.4257420Z 
2022-11-23T01:32:31.4257521Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4257588Z import torch
2022-11-23T01:32:31.4257663Z import random
2022-11-23T01:32:31.4257783Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4257908Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4257913Z 
2022-11-23T01:32:31.4257998Z aten = torch.ops.aten
2022-11-23T01:32:31.4258137Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4258235Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4258240Z 
2022-11-23T01:32:31.4258308Z import triton
2022-11-23T01:32:31.4258402Z import triton.language as tl
2022-11-23T01:32:31.4258528Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4258669Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4258675Z 
2022-11-23T01:32:31.4258711Z 
2022-11-23T01:32:31.4259060Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.4259180Z import triton
2022-11-23T01:32:31.4259274Z import triton.language as tl
2022-11-23T01:32:31.4259391Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4259487Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4259623Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4259752Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4259758Z 
2022-11-23T01:32:31.4260141Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4260217Z @triton.jit
2022-11-23T01:32:31.4260362Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4260438Z     xnumel = 256
2022-11-23T01:32:31.4260540Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4260667Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4260752Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4260832Z     x1 = (xindex // 64)
2022-11-23T01:32:31.4260908Z     x0 = xindex % 64
2022-11-23T01:32:31.4260979Z     x2 = xindex
2022-11-23T01:32:31.4261079Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4261239Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.4261366Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4261460Z ''')
2022-11-23T01:32:31.4261465Z 
2022-11-23T01:32:31.4261470Z 
2022-11-23T01:32:31.4261631Z triton_fused_index_11 = async_compile.triton('''
2022-11-23T01:32:31.4261705Z import triton
2022-11-23T01:32:31.4261799Z import triton.language as tl
2022-11-23T01:32:31.4261915Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4262021Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4262149Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4262280Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4262285Z 
2022-11-23T01:32:31.4262666Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4262740Z @triton.jit
2022-11-23T01:32:31.4262883Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4262957Z     xnumel = 256
2022-11-23T01:32:31.4263054Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4263187Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4263263Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4263346Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.4263420Z     x0 = xindex % 8
2022-11-23T01:32:31.4263503Z     x2 = (xindex // 32)
2022-11-23T01:32:31.4263575Z     x3 = xindex
2022-11-23T01:32:31.4263677Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4263846Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.4263975Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4264063Z ''')
2022-11-23T01:32:31.4264069Z 
2022-11-23T01:32:31.4264073Z 
2022-11-23T01:32:31.4264167Z async_compile.wait(globals())
2022-11-23T01:32:31.4264244Z del async_compile
2022-11-23T01:32:31.4264249Z 
2022-11-23T01:32:31.4264323Z def call(args):
2022-11-23T01:32:31.4264404Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.4264481Z     args.clear()
2022-11-23T01:32:31.4264700Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4264784Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4265006Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.4265225Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4265396Z     triton_fused_index_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.4265470Z     del arg0_1
2022-11-23T01:32:31.4265542Z     del arg1_1
2022-11-23T01:32:31.4265625Z     return (buf0, buf1, )
2022-11-23T01:32:31.4265630Z 
2022-11-23T01:32:31.4265635Z 
2022-11-23T01:32:31.4265716Z if __name__ == "__main__":
2022-11-23T01:32:31.4265829Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4265957Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4266165Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4266360Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4266481Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.4266486Z 
2022-11-23T01:32:31.4266560Z ok (0.268s)
2022-11-23T01:32:31.4266876Z   test_index_put1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4267196Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4267410Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4267669Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4267947Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4268265Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4268609Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4268932Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4269308Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:31.4269411Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4269518Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:31.4269619Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4269707Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4269802Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4269899Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4269993Z               12 CALL_METHOD              3
2022-11-23T01:32:31.4270000Z 
2022-11-23T01:32:31.4270102Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4270211Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:31.4270376Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4270478Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4270571Z               22 BINARY_ADD
2022-11-23T01:32:31.4270677Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4270773Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4270850Z               28 BINARY_ADD
2022-11-23T01:32:31.4270942Z               30 BUILD_LIST               1
2022-11-23T01:32:31.4271035Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4271120Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4271199Z               36 BINARY_ADD
2022-11-23T01:32:31.4271329Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4271452Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4271530Z               42 BINARY_ADD
2022-11-23T01:32:31.4271535Z 
2022-11-23T01:32:31.4271632Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:31.4271714Z               46 RETURN_VALUE
2022-11-23T01:32:31.4271779Z  
2022-11-23T01:32:31.4271784Z 
2022-11-23T01:32:31.4272096Z [2022-11-23 01:29:46,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:31.4272319Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4272687Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4273014Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4273364Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4273739Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4274106Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4274506Z [2022-11-23 01:29:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4274822Z [2022-11-23 01:29:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:31.4275075Z [2022-11-23 01:29:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4275468Z [2022-11-23 01:29:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4275818Z [2022-11-23 01:29:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4276195Z [2022-11-23 01:29:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4276605Z [2022-11-23 01:29:46,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4276980Z [2022-11-23 01:29:46,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4277379Z [2022-11-23 01:29:46,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4277819Z [2022-11-23 01:29:46,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4278236Z [2022-11-23 01:29:46,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4278657Z [2022-11-23 01:29:46,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4279082Z [2022-11-23 01:29:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4279548Z [2022-11-23 01:29:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4279978Z [2022-11-23 01:29:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4280247Z [2022-11-23 01:29:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4280554Z [2022-11-23 01:29:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4280864Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:31.4281132Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4281381Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4281749Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:31.4281997Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4282233Z [2022-11-23 01:29:46,235] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4282487Z [2022-11-23 01:29:46,236] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4282742Z [2022-11-23 01:29:46,241] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4282938Z [2022-11-23 01:29:46,241] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4283081Z  __compiled_fn_524 <eval_with_key>.3240 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4283178Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4283271Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4283358Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4283619Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:31.4283794Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4283976Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4284150Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4284410Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:31.4284596Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:31.4284714Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:31.4284720Z 
2022-11-23T01:32:31.4285076Z [2022-11-23 01:29:46,242] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4285202Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4285300Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4285396Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4285497Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4285590Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4285685Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4285767Z              12 RETURN_VALUE
2022-11-23T01:32:31.4285772Z 
2022-11-23T01:32:31.4285831Z  
2022-11-23T01:32:31.4286151Z [2022-11-23 01:29:46,242] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4286273Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_524)
2022-11-23T01:32:31.4286369Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4286469Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4286554Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4286649Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4286737Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4286818Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4286912Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4287006Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4287087Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4287183Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4287295Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4287397Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4287493Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4287576Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4287684Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4287780Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4287863Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4287956Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4288029Z              38 RETURN_VALUE
2022-11-23T01:32:31.4288041Z 
2022-11-23T01:32:31.4288100Z  
2022-11-23T01:32:31.4288286Z [2022-11-23 01:29:46,243] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4288363Z  - 
2022-11-23T01:32:31.4288487Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4288555Z             {
2022-11-23T01:32:31.4288699Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4288888Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4289004Z                 'obj_weakref': None
2022-11-23T01:32:31.4289226Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4289297Z             }
2022-11-23T01:32:31.4289367Z             
2022-11-23T01:32:31.4289445Z  - 
2022-11-23T01:32:31.4289574Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4289649Z             {
2022-11-23T01:32:31.4289788Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4289900Z                 'code': None,
2022-11-23T01:32:31.4290115Z                 'obj_weakref': <weakref at 0x7f1fe03af790; to 'Tensor' at 0x7f201e6eb290>
2022-11-23T01:32:31.4290366Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4290435Z             }
2022-11-23T01:32:31.4290504Z             
2022-11-23T01:32:31.4290580Z  - 
2022-11-23T01:32:31.4290700Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4290769Z             {
2022-11-23T01:32:31.4290916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4291027Z                 'code': None,
2022-11-23T01:32:31.4291238Z                 'obj_weakref': <weakref at 0x7f1fe03ad6c0; to 'Tensor' at 0x7f201e6f9f30>
2022-11-23T01:32:31.4291517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4291606Z             }
2022-11-23T01:32:31.4291667Z             
2022-11-23T01:32:31.4291742Z  - 
2022-11-23T01:32:31.4291873Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4291943Z             {
2022-11-23T01:32:31.4292091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4292204Z                 'code': None,
2022-11-23T01:32:31.4292418Z                 'obj_weakref': <weakref at 0x7f207277c130; to 'Tensor' at 0x7f201e6f8590>
2022-11-23T01:32:31.4292661Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4292731Z             }
2022-11-23T01:32:31.4292804Z             
2022-11-23T01:32:31.4292879Z  - 
2022-11-23T01:32:31.4293016Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4293084Z             {
2022-11-23T01:32:31.4293228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4293399Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4293524Z                 'obj_weakref': None
2022-11-23T01:32:31.4293755Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4293824Z             }
2022-11-23T01:32:31.4293894Z             
2022-11-23T01:32:31.4293969Z  - 
2022-11-23T01:32:31.4294097Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4294159Z             {
2022-11-23T01:32:31.4294301Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4294521Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4294646Z                 'obj_weakref': None
2022-11-23T01:32:31.4294869Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4294939Z             }
2022-11-23T01:32:31.4295010Z             
2022-11-23T01:32:31.4295078Z  - 
2022-11-23T01:32:31.4295221Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4295290Z             {
2022-11-23T01:32:31.4295415Z                 'guard_types': None,
2022-11-23T01:32:31.4295527Z                 'code': None,
2022-11-23T01:32:31.4295650Z                 'obj_weakref': None
2022-11-23T01:32:31.4295769Z                 'guarded_class': None
2022-11-23T01:32:31.4295837Z             }
2022-11-23T01:32:31.4295905Z             
2022-11-23T01:32:31.4296166Z [2022-11-23 01:29:46,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514
2022-11-23T01:32:31.4296459Z [2022-11-23 01:29:46,278] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4296741Z [2022-11-23 01:29:46,280] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.4296987Z [2022-11-23 01:29:46,285] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.4297348Z [2022-11-23 01:29:46,475] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eo/ceo3ripm64rr3k4blo6pcg3ryzuuz3t2zifaswgccwtoijbxfew5.py
2022-11-23T01:32:31.4297615Z [2022-11-23 01:29:46,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514
2022-11-23T01:32:31.4297849Z [2022-11-23 01:29:46,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4298162Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4298386Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4298642Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4299083Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4299436Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4299785Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4300110Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4300486Z [2022-11-23 01:29:46,493] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:31.4300591Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4300694Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:31.4300794Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4300888Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4300983Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4301077Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4301172Z               12 CALL_METHOD              3
2022-11-23T01:32:31.4301178Z 
2022-11-23T01:32:31.4301280Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4301390Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:31.4301478Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4301572Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4301651Z               22 BINARY_ADD
2022-11-23T01:32:31.4301744Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4301836Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4301917Z               28 BINARY_ADD
2022-11-23T01:32:31.4302012Z               30 BUILD_LIST               1
2022-11-23T01:32:31.4302102Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4302195Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4302273Z               36 BINARY_ADD
2022-11-23T01:32:31.4302367Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4302461Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4302538Z               42 BINARY_ADD
2022-11-23T01:32:31.4302543Z 
2022-11-23T01:32:31.4302638Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:31.4302712Z               46 RETURN_VALUE
2022-11-23T01:32:31.4302778Z  
2022-11-23T01:32:31.4302783Z 
2022-11-23T01:32:31.4303097Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:31.4303323Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4303700Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4304026Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4304373Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4304746Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4305140Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4305562Z [2022-11-23 01:29:46,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4305875Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:31.4306115Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4306509Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4306860Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4307235Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4307650Z [2022-11-23 01:29:46,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4308021Z [2022-11-23 01:29:46,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4308419Z [2022-11-23 01:29:46,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4308862Z [2022-11-23 01:29:46,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4309267Z [2022-11-23 01:29:46,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4309661Z [2022-11-23 01:29:46,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4310084Z [2022-11-23 01:29:46,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4310627Z [2022-11-23 01:29:46,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4311059Z [2022-11-23 01:29:46,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4311325Z [2022-11-23 01:29:46,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4311628Z [2022-11-23 01:29:46,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4311967Z [2022-11-23 01:29:46,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:31.4312230Z [2022-11-23 01:29:46,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4312501Z [2022-11-23 01:29:46,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4312879Z [2022-11-23 01:29:46,502] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:31.4313129Z [2022-11-23 01:29:46,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4313371Z [2022-11-23 01:29:46,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4313634Z [2022-11-23 01:29:46,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4313893Z [2022-11-23 01:29:46,509] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4314088Z [2022-11-23 01:29:46,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4314232Z  __compiled_fn_525 <eval_with_key>.3246 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4314320Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4314414Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4314506Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4314774Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:31.4314951Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4315131Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4315307Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4315568Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:31.4315752Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:31.4315872Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:31.4315878Z 
2022-11-23T01:32:31.4316211Z [2022-11-23 01:29:46,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4316312Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4316410Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4316504Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4316607Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4316699Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4316786Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4316867Z              12 RETURN_VALUE
2022-11-23T01:32:31.4316873Z 
2022-11-23T01:32:31.4316938Z  
2022-11-23T01:32:31.4317268Z [2022-11-23 01:29:46,510] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4317388Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_525)
2022-11-23T01:32:31.4317485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4317583Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4317668Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4317758Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4317852Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4317932Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4318025Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4318117Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4318202Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4318297Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4318402Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4318540Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4318665Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4318748Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4318856Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4318951Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4319033Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4319120Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4319201Z              38 RETURN_VALUE
2022-11-23T01:32:31.4319206Z 
2022-11-23T01:32:31.4319273Z  
2022-11-23T01:32:31.4319462Z [2022-11-23 01:29:46,511] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4319539Z  - 
2022-11-23T01:32:31.4319665Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4319736Z             {
2022-11-23T01:32:31.4319874Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4320066Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4320193Z                 'obj_weakref': None
2022-11-23T01:32:31.4320417Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4320487Z             }
2022-11-23T01:32:31.4320556Z             
2022-11-23T01:32:31.4320633Z  - 
2022-11-23T01:32:31.4320754Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4320823Z             {
2022-11-23T01:32:31.4320973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4321086Z                 'code': None,
2022-11-23T01:32:31.4321299Z                 'obj_weakref': <weakref at 0x7f1fd833b010; to 'Tensor' at 0x7f20682fc540>
2022-11-23T01:32:31.4321551Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4321620Z             }
2022-11-23T01:32:31.4321681Z             
2022-11-23T01:32:31.4321757Z  - 
2022-11-23T01:32:31.4321886Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4321954Z             {
2022-11-23T01:32:31.4322102Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4322212Z                 'code': None,
2022-11-23T01:32:31.4322426Z                 'obj_weakref': <weakref at 0x7f1fe03ad6c0; to 'Tensor' at 0x7f201e6f9f30>
2022-11-23T01:32:31.4322666Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4322739Z             }
2022-11-23T01:32:31.4322823Z             
2022-11-23T01:32:31.4322903Z  - 
2022-11-23T01:32:31.4323053Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4323121Z             {
2022-11-23T01:32:31.4323267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4323370Z                 'code': None,
2022-11-23T01:32:31.4323580Z                 'obj_weakref': <weakref at 0x7f1fead4f560; to 'Tensor' at 0x7f201e6b84f0>
2022-11-23T01:32:31.4323831Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4323906Z             }
2022-11-23T01:32:31.4323975Z             
2022-11-23T01:32:31.4324051Z  - 
2022-11-23T01:32:31.4324185Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4324247Z             {
2022-11-23T01:32:31.4324385Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4324558Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4324681Z                 'obj_weakref': None
2022-11-23T01:32:31.4324910Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4324977Z             }
2022-11-23T01:32:31.4325044Z             
2022-11-23T01:32:31.4325112Z  - 
2022-11-23T01:32:31.4325238Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4325305Z             {
2022-11-23T01:32:31.4325445Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4325697Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4325865Z                 'obj_weakref': None
2022-11-23T01:32:31.4326088Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4326150Z             }
2022-11-23T01:32:31.4326217Z             
2022-11-23T01:32:31.4326293Z  - 
2022-11-23T01:32:31.4326430Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4326499Z             {
2022-11-23T01:32:31.4326627Z                 'guard_types': None,
2022-11-23T01:32:31.4326737Z                 'code': None,
2022-11-23T01:32:31.4326851Z                 'obj_weakref': None
2022-11-23T01:32:31.4326976Z                 'guarded_class': None
2022-11-23T01:32:31.4327046Z             }
2022-11-23T01:32:31.4327114Z             
2022-11-23T01:32:31.4327375Z [2022-11-23 01:29:46,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515
2022-11-23T01:32:31.4327670Z [2022-11-23 01:29:46,540] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4327952Z [2022-11-23 01:29:46,542] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.4328197Z [2022-11-23 01:29:46,545] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.4328203Z 
2022-11-23T01:32:31.4328296Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4328369Z import torch
2022-11-23T01:32:31.4328447Z import random
2022-11-23T01:32:31.4328569Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4328696Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4328701Z 
2022-11-23T01:32:31.4328784Z aten = torch.ops.aten
2022-11-23T01:32:31.4328925Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4329016Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4329033Z 
2022-11-23T01:32:31.4329103Z import triton
2022-11-23T01:32:31.4329200Z import triton.language as tl
2022-11-23T01:32:31.4329328Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4329474Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4329479Z 
2022-11-23T01:32:31.4329484Z 
2022-11-23T01:32:31.4329659Z triton_fused_index_put_add0 = async_compile.triton('''
2022-11-23T01:32:31.4329734Z import triton
2022-11-23T01:32:31.4329827Z import triton.language as tl
2022-11-23T01:32:31.4329935Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4330038Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4330176Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4330305Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4330310Z 
2022-11-23T01:32:31.4330709Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4330786Z @triton.jit
2022-11-23T01:32:31.4330932Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4331010Z     xnumel = 10035200
2022-11-23T01:32:31.4331102Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4331235Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4331319Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4331391Z     x0 = xindex
2022-11-23T01:32:31.4331489Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4331561Z     tmp1 = 1
2022-11-23T01:32:31.4331640Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4331771Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4331905Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4331995Z ''')
2022-11-23T01:32:31.4332000Z 
2022-11-23T01:32:31.4332005Z 
2022-11-23T01:32:31.4332236Z triton_fused_index_put__add_add_2_index_put1 = async_compile.triton('''
2022-11-23T01:32:31.4332332Z import triton
2022-11-23T01:32:31.4332426Z import triton.language as tl
2022-11-23T01:32:31.4332541Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4332645Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4332772Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4332899Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4332904Z 
2022-11-23T01:32:31.4333308Z @pointwise(size_hints=[8388608], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4333382Z @triton.jit
2022-11-23T01:32:31.4333539Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4333618Z     xnumel = 7538944
2022-11-23T01:32:31.4333721Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4333855Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4333931Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4334017Z     x1 = (xindex // 12544)
2022-11-23T01:32:31.4334089Z     x2 = xindex
2022-11-23T01:32:31.4334168Z     x0 = xindex % 12544
2022-11-23T01:32:31.4334265Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4334363Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.4334426Z     tmp2 = 1
2022-11-23T01:32:31.4334505Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.4334584Z     tmp4 = tmp1 + tmp2
2022-11-23T01:32:31.4334734Z     tl.store(out_ptr0 + (x0 + (12544*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4334879Z     tl.store(out_ptr1 + (x0 + (12544*tmp3) + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4334967Z ''')
2022-11-23T01:32:31.4334972Z 
2022-11-23T01:32:31.4334977Z 
2022-11-23T01:32:31.4335145Z triton_fused_add_3_add2 = async_compile.triton('''
2022-11-23T01:32:31.4335224Z import triton
2022-11-23T01:32:31.4335310Z import triton.language as tl
2022-11-23T01:32:31.4335424Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4335526Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4335661Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4335788Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4335793Z 
2022-11-23T01:32:31.4336170Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4336245Z @triton.jit
2022-11-23T01:32:31.4336381Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4336451Z     xnumel = 10035200
2022-11-23T01:32:31.4336550Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4336684Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4336771Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4336842Z     x0 = xindex
2022-11-23T01:32:31.4336940Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4337011Z     tmp1 = 1
2022-11-23T01:32:31.4337083Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4337217Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4337303Z ''')
2022-11-23T01:32:31.4337309Z 
2022-11-23T01:32:31.4337313Z 
2022-11-23T01:32:31.4337409Z async_compile.wait(globals())
2022-11-23T01:32:31.4337487Z del async_compile
2022-11-23T01:32:31.4337492Z 
2022-11-23T01:32:31.4337567Z def call(args):
2022-11-23T01:32:31.4337655Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4337724Z     args.clear()
2022-11-23T01:32:31.4337951Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4338206Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4338300Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4338485Z     triton_fused_index_put_add0.run(arg0_1, buf0, buf2, 10035200, grid=grid(10035200), stream=stream0)
2022-11-23T01:32:31.4338558Z     del arg0_1
2022-11-23T01:32:31.4338738Z     triton_fused_index_put__add_add_2_index_put1.run(arg1_1, arg2_1, buf0, buf2, 7538944, grid=grid(7538944), stream=stream0)
2022-11-23T01:32:31.4338932Z     del arg1_1
2022-11-23T01:32:31.4338999Z     del arg2_1
2022-11-23T01:32:31.4339222Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4339372Z     triton_fused_add_3_add2.run(buf2, buf4, 10035200, grid=grid(10035200), stream=stream0)
2022-11-23T01:32:31.4339455Z     return (buf0, buf4, )
2022-11-23T01:32:31.4339460Z 
2022-11-23T01:32:31.4339464Z 
2022-11-23T01:32:31.4339545Z if __name__ == "__main__":
2022-11-23T01:32:31.4339664Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4339796Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4340027Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4340217Z     arg1_1 = rand_strided((601, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4340442Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4340572Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4340578Z 
2022-11-23T01:32:31.4340946Z [2022-11-23 01:29:46,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/to/ctoeoasvw7bciqoqtdtscrh5b74u2ger652n6rkoipm4cbltoa7r.py
2022-11-23T01:32:31.4341217Z [2022-11-23 01:29:46,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515
2022-11-23T01:32:31.4341460Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4341782Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4342008Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4342267Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4342548Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4342862Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4343212Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4343542Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4343922Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:31.4344027Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4344134Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:31.4344232Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4344331Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4344428Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4344515Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4344609Z               12 CALL_METHOD              3
2022-11-23T01:32:31.4344614Z 
2022-11-23T01:32:31.4344716Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4344873Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:31.4344995Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4345093Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4345172Z               22 BINARY_ADD
2022-11-23T01:32:31.4345258Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4345354Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4345432Z               28 BINARY_ADD
2022-11-23T01:32:31.4345529Z               30 BUILD_LIST               1
2022-11-23T01:32:31.4345622Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4345715Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4345793Z               36 BINARY_ADD
2022-11-23T01:32:31.4345879Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4345972Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4346049Z               42 BINARY_ADD
2022-11-23T01:32:31.4346055Z 
2022-11-23T01:32:31.4346151Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:31.4346234Z               46 RETURN_VALUE
2022-11-23T01:32:31.4346302Z  
2022-11-23T01:32:31.4346307Z 
2022-11-23T01:32:31.4346624Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:31.4346844Z [2022-11-23 01:29:46,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4347218Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4347538Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4347888Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4348263Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4348633Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4349034Z [2022-11-23 01:29:46,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4349345Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:31.4349597Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4349994Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4350410Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4350837Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4351286Z [2022-11-23 01:29:46,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4351695Z [2022-11-23 01:29:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4352127Z [2022-11-23 01:29:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4352604Z [2022-11-23 01:29:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4353016Z [2022-11-23 01:29:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4353414Z [2022-11-23 01:29:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4353842Z [2022-11-23 01:29:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4354305Z [2022-11-23 01:29:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4354730Z [2022-11-23 01:29:46,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4354996Z [2022-11-23 01:29:46,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4355305Z [2022-11-23 01:29:46,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4355615Z [2022-11-23 01:29:46,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:31.4355883Z [2022-11-23 01:29:46,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4356131Z [2022-11-23 01:29:46,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4356510Z [2022-11-23 01:29:46,660] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:31.4356763Z [2022-11-23 01:29:46,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4357004Z [2022-11-23 01:29:46,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4357255Z [2022-11-23 01:29:46,661] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4357511Z [2022-11-23 01:29:46,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4357706Z [2022-11-23 01:29:46,666] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4357848Z  __compiled_fn_526 <eval_with_key>.3252 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4357944Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4358037Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4358128Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4358419Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:31.4358610Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4358793Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4358971Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4359236Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:31.4359425Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:31.4359545Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:31.4359551Z 
2022-11-23T01:32:31.4359883Z [2022-11-23 01:29:46,666] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4359984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4360074Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4360171Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4360275Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4360366Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4360461Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4360544Z              12 RETURN_VALUE
2022-11-23T01:32:31.4360550Z 
2022-11-23T01:32:31.4360615Z  
2022-11-23T01:32:31.4360939Z [2022-11-23 01:29:46,666] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4361051Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_526)
2022-11-23T01:32:31.4361148Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4361249Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4361333Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4361428Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4361525Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4361607Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4361698Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4361791Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4361872Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4361967Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4362079Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4362194Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4362288Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4362363Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4362472Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4362569Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4362651Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4362749Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4362832Z              38 RETURN_VALUE
2022-11-23T01:32:31.4362838Z 
2022-11-23T01:32:31.4362907Z  
2022-11-23T01:32:31.4363097Z [2022-11-23 01:29:46,667] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4363166Z  - 
2022-11-23T01:32:31.4363290Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4363361Z             {
2022-11-23T01:32:31.4363506Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4363698Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4363826Z                 'obj_weakref': None
2022-11-23T01:32:31.4364052Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4364115Z             }
2022-11-23T01:32:31.4364184Z             
2022-11-23T01:32:31.4364260Z  - 
2022-11-23T01:32:31.4364390Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4364459Z             {
2022-11-23T01:32:31.4364606Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4364745Z                 'code': None,
2022-11-23T01:32:31.4364991Z                 'obj_weakref': <weakref at 0x7f1fd8373060; to 'Tensor' at 0x7f1fead358a0>
2022-11-23T01:32:31.4365242Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4365313Z             }
2022-11-23T01:32:31.4365382Z             
2022-11-23T01:32:31.4365459Z  - 
2022-11-23T01:32:31.4365586Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4365648Z             {
2022-11-23T01:32:31.4365794Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4365906Z                 'code': None,
2022-11-23T01:32:31.4366119Z                 'obj_weakref': <weakref at 0x7f2115bef290; to 'Tensor' at 0x7f1fead356c0>
2022-11-23T01:32:31.4366374Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4366443Z             }
2022-11-23T01:32:31.4366513Z             
2022-11-23T01:32:31.4366591Z  - 
2022-11-23T01:32:31.4366712Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4366786Z             {
2022-11-23T01:32:31.4366935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4367049Z                 'code': None,
2022-11-23T01:32:31.4367266Z                 'obj_weakref': <weakref at 0x7f1fd83c38d0; to 'Tensor' at 0x7f201e6f9f30>
2022-11-23T01:32:31.4367514Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4367583Z             }
2022-11-23T01:32:31.4367644Z             
2022-11-23T01:32:31.4367722Z  - 
2022-11-23T01:32:31.4367858Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4367927Z             {
2022-11-23T01:32:31.4368068Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4368244Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4368368Z                 'obj_weakref': None
2022-11-23T01:32:31.4368597Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4368669Z             }
2022-11-23T01:32:31.4368737Z             
2022-11-23T01:32:31.4368813Z  - 
2022-11-23T01:32:31.4368943Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4369012Z             {
2022-11-23T01:32:31.4369146Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4369373Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4369497Z                 'obj_weakref': None
2022-11-23T01:32:31.4369722Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4369792Z             }
2022-11-23T01:32:31.4369861Z             
2022-11-23T01:32:31.4369937Z  - 
2022-11-23T01:32:31.4370075Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4370137Z             {
2022-11-23T01:32:31.4370261Z                 'guard_types': None,
2022-11-23T01:32:31.4370375Z                 'code': None,
2022-11-23T01:32:31.4370502Z                 'obj_weakref': None
2022-11-23T01:32:31.4370628Z                 'guarded_class': None
2022-11-23T01:32:31.4370698Z             }
2022-11-23T01:32:31.4370759Z             
2022-11-23T01:32:31.4371021Z [2022-11-23 01:29:46,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 516
2022-11-23T01:32:31.4371313Z [2022-11-23 01:29:46,698] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4371597Z [2022-11-23 01:29:46,699] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.4371842Z [2022-11-23 01:29:46,703] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.4371848Z 
2022-11-23T01:32:31.4371950Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4372025Z import torch
2022-11-23T01:32:31.4372131Z import random
2022-11-23T01:32:31.4372268Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4372396Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4372401Z 
2022-11-23T01:32:31.4372485Z aten = torch.ops.aten
2022-11-23T01:32:31.4372627Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4372725Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4372731Z 
2022-11-23T01:32:31.4372807Z import triton
2022-11-23T01:32:31.4372901Z import triton.language as tl
2022-11-23T01:32:31.4373030Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4373167Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4373173Z 
2022-11-23T01:32:31.4373184Z 
2022-11-23T01:32:31.4373352Z triton_fused_add_index_put0 = async_compile.triton('''
2022-11-23T01:32:31.4373427Z import triton
2022-11-23T01:32:31.4373520Z import triton.language as tl
2022-11-23T01:32:31.4373639Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4373745Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4373885Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4374013Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4374019Z 
2022-11-23T01:32:31.4374409Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4374488Z @triton.jit
2022-11-23T01:32:31.4374635Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4374713Z     xnumel = 10035200
2022-11-23T01:32:31.4374814Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4374946Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4375031Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4375104Z     x0 = xindex
2022-11-23T01:32:31.4375221Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4375295Z     tmp1 = 1
2022-11-23T01:32:31.4375374Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4375512Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4375651Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4375737Z ''')
2022-11-23T01:32:31.4375742Z 
2022-11-23T01:32:31.4375747Z 
2022-11-23T01:32:31.4375949Z triton_fused_index_put__index_put_add_add_21 = async_compile.triton('''
2022-11-23T01:32:31.4376018Z import triton
2022-11-23T01:32:31.4376113Z import triton.language as tl
2022-11-23T01:32:31.4376229Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4376333Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4376468Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4376598Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4376604Z 
2022-11-23T01:32:31.4377027Z @pointwise(size_hints=[8388608], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4377103Z @triton.jit
2022-11-23T01:32:31.4377251Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4377333Z     xnumel = 7538944
2022-11-23T01:32:31.4377433Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4377566Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4377651Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4377735Z     x1 = (xindex // 12544)
2022-11-23T01:32:31.4377808Z     x2 = xindex
2022-11-23T01:32:31.4377880Z     x0 = xindex % 12544
2022-11-23T01:32:31.4377979Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4378100Z     tmp1 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.4378199Z     tmp2 = 1
2022-11-23T01:32:31.4378282Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.4378383Z     tmp4 = tmp1 + tmp2
2022-11-23T01:32:31.4378531Z     tl.store(out_ptr0 + (x0 + (12544*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4378671Z     tl.store(out_ptr1 + (x0 + (12544*tmp3) + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4378759Z ''')
2022-11-23T01:32:31.4378764Z 
2022-11-23T01:32:31.4378769Z 
2022-11-23T01:32:31.4379103Z triton_fused_add_add_32 = async_compile.triton('''
2022-11-23T01:32:31.4379181Z import triton
2022-11-23T01:32:31.4379276Z import triton.language as tl
2022-11-23T01:32:31.4379394Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4379499Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4379633Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4379753Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4379758Z 
2022-11-23T01:32:31.4380140Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4380217Z @triton.jit
2022-11-23T01:32:31.4380355Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4380431Z     xnumel = 10035200
2022-11-23T01:32:31.4380531Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4380662Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4380747Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4380813Z     x0 = xindex
2022-11-23T01:32:31.4380933Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4381005Z     tmp1 = 1
2022-11-23T01:32:31.4381085Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4381222Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4381309Z ''')
2022-11-23T01:32:31.4381314Z 
2022-11-23T01:32:31.4381319Z 
2022-11-23T01:32:31.4381416Z async_compile.wait(globals())
2022-11-23T01:32:31.4381489Z del async_compile
2022-11-23T01:32:31.4381494Z 
2022-11-23T01:32:31.4381570Z def call(args):
2022-11-23T01:32:31.4381658Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4381734Z     args.clear()
2022-11-23T01:32:31.4381958Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4382181Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4382274Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4382439Z     triton_fused_add_index_put0.run(arg0_1, buf0, buf2, 10035200, grid=grid(10035200), stream=stream0)
2022-11-23T01:32:31.4382506Z     del arg0_1
2022-11-23T01:32:31.4382720Z     triton_fused_index_put__index_put_add_add_21.run(arg1_1, arg2_1, buf0, buf2, 7538944, grid=grid(7538944), stream=stream0)
2022-11-23T01:32:31.4382811Z     del arg1_1
2022-11-23T01:32:31.4382886Z     del arg2_1
2022-11-23T01:32:31.4383110Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4383262Z     triton_fused_add_add_32.run(buf2, buf4, 10035200, grid=grid(10035200), stream=stream0)
2022-11-23T01:32:31.4383345Z     return (buf0, buf4, )
2022-11-23T01:32:31.4383350Z 
2022-11-23T01:32:31.4383355Z 
2022-11-23T01:32:31.4383437Z if __name__ == "__main__":
2022-11-23T01:32:31.4383550Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4383681Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4383909Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4384108Z     arg1_1 = rand_strided((601, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4384332Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4384508Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4384514Z 
2022-11-23T01:32:31.4384916Z [2022-11-23 01:29:46,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y4/cy4qcz34bk7fal2ko2j2jjk6fk5z3zvdhrorhxecpddypwgiotiv.py
2022-11-23T01:32:31.4385192Z [2022-11-23 01:29:46,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 516
2022-11-23T01:32:31.4385430Z [2022-11-23 01:29:46,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4385749Z [2022-11-23 01:29:46,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4385974Z [2022-11-23 01:29:46,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4386232Z [2022-11-23 01:29:46,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4386515Z [2022-11-23 01:29:46,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4386842Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4387189Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4387516Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4387898Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:31.4388004Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4388104Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:31.4388206Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4388304Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4388399Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4388494Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4388589Z               12 CALL_METHOD              3
2022-11-23T01:32:31.4388595Z 
2022-11-23T01:32:31.4388697Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4388808Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:31.4388897Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4388994Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4389073Z               22 BINARY_ADD
2022-11-23T01:32:31.4389167Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4389261Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4389339Z               28 BINARY_ADD
2022-11-23T01:32:31.4389435Z               30 BUILD_LIST               1
2022-11-23T01:32:31.4389525Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4389620Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4389698Z               36 BINARY_ADD
2022-11-23T01:32:31.4389792Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4389888Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4389967Z               42 BINARY_ADD
2022-11-23T01:32:31.4389972Z 
2022-11-23T01:32:31.4390066Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:32:31.4390141Z               46 RETURN_VALUE
2022-11-23T01:32:31.4390209Z  
2022-11-23T01:32:31.4390214Z 
2022-11-23T01:32:31.4390634Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:32:31.4390863Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4391265Z [2022-11-23 01:29:46,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4391619Z [2022-11-23 01:29:46,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4391972Z [2022-11-23 01:29:46,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4392356Z [2022-11-23 01:29:46,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4392739Z [2022-11-23 01:29:46,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4393155Z [2022-11-23 01:29:46,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4393479Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:32:31.4393730Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4394125Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4394477Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4394857Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4395276Z [2022-11-23 01:29:46,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4395648Z [2022-11-23 01:29:46,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4396051Z [2022-11-23 01:29:46,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4396494Z [2022-11-23 01:29:46,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4396898Z [2022-11-23 01:29:46,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4397299Z [2022-11-23 01:29:46,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4397726Z [2022-11-23 01:29:46,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4398214Z [2022-11-23 01:29:46,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4398660Z [2022-11-23 01:29:46,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4398927Z [2022-11-23 01:29:46,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4399237Z [2022-11-23 01:29:46,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4399550Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:32:31.4399813Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4400066Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4400447Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:31.4400694Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4400927Z [2022-11-23 01:29:46,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4401188Z [2022-11-23 01:29:46,885] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4401444Z [2022-11-23 01:29:46,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4401640Z [2022-11-23 01:29:46,890] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4401785Z  __compiled_fn_527 <eval_with_key>.3258 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4401881Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4401967Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4402057Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4402324Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:31.4402504Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4402682Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4402858Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4403119Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f209c394c60>, (add, [add_1], add_2), {}
2022-11-23T01:32:31.4403303Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:31.4403425Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:31.4403431Z 
2022-11-23T01:32:31.4403757Z [2022-11-23 01:29:46,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4403859Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4403956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4404050Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4404151Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4404243Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4404330Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4404413Z              12 RETURN_VALUE
2022-11-23T01:32:31.4404418Z 
2022-11-23T01:32:31.4404486Z  
2022-11-23T01:32:31.4404832Z [2022-11-23 01:29:46,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4404968Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_527)
2022-11-23T01:32:31.4405067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4405164Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4405247Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4405334Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4405428Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4405511Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4405607Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4405704Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4405787Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4405886Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4405991Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4406106Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4406208Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4406290Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4406400Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4406495Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4406576Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4406663Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4406744Z              38 RETURN_VALUE
2022-11-23T01:32:31.4406749Z 
2022-11-23T01:32:31.4406815Z  
2022-11-23T01:32:31.4407003Z [2022-11-23 01:29:46,892] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4407083Z  - 
2022-11-23T01:32:31.4407205Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4407275Z             {
2022-11-23T01:32:31.4407413Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4407604Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4407735Z                 'obj_weakref': None
2022-11-23T01:32:31.4407963Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4408033Z             }
2022-11-23T01:32:31.4408103Z             
2022-11-23T01:32:31.4408180Z  - 
2022-11-23T01:32:31.4408301Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4408370Z             {
2022-11-23T01:32:31.4408517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4408629Z                 'code': None,
2022-11-23T01:32:31.4408845Z                 'obj_weakref': <weakref at 0x7f1fd833b010; to 'Tensor' at 0x7f1fe03adcb0>
2022-11-23T01:32:31.4409096Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4409166Z             }
2022-11-23T01:32:31.4409228Z             
2022-11-23T01:32:31.4409306Z  - 
2022-11-23T01:32:31.4409435Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4409509Z             {
2022-11-23T01:32:31.4409660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4409776Z                 'code': None,
2022-11-23T01:32:31.4409991Z                 'obj_weakref': <weakref at 0x7f2115bef290; to 'Tensor' at 0x7f1fead356c0>
2022-11-23T01:32:31.4410235Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4410303Z             }
2022-11-23T01:32:31.4410374Z             
2022-11-23T01:32:31.4410450Z  - 
2022-11-23T01:32:31.4410578Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4410646Z             {
2022-11-23T01:32:31.4410793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4410897Z                 'code': None,
2022-11-23T01:32:31.4411112Z                 'obj_weakref': <weakref at 0x7f1fe03e91c0; to 'Tensor' at 0x7f1fe8137f60>
2022-11-23T01:32:31.4411393Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4411465Z             }
2022-11-23T01:32:31.4411575Z             
2022-11-23T01:32:31.4411652Z  - 
2022-11-23T01:32:31.4411788Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4411849Z             {
2022-11-23T01:32:31.4411989Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4412164Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4412289Z                 'obj_weakref': None
2022-11-23T01:32:31.4412519Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4412588Z             }
2022-11-23T01:32:31.4412656Z             
2022-11-23T01:32:31.4412724Z  - 
2022-11-23T01:32:31.4412852Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4412920Z             {
2022-11-23T01:32:31.4413062Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4413282Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4413407Z                 'obj_weakref': None
2022-11-23T01:32:31.4413635Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4413697Z             }
2022-11-23T01:32:31.4413766Z             
2022-11-23T01:32:31.4413841Z  - 
2022-11-23T01:32:31.4413979Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4414049Z             {
2022-11-23T01:32:31.4414173Z                 'guard_types': None,
2022-11-23T01:32:31.4414284Z                 'code': None,
2022-11-23T01:32:31.4414399Z                 'obj_weakref': None
2022-11-23T01:32:31.4414523Z                 'guarded_class': None
2022-11-23T01:32:31.4414592Z             }
2022-11-23T01:32:31.4414661Z             
2022-11-23T01:32:31.4414922Z [2022-11-23 01:29:46,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 517
2022-11-23T01:32:31.4415217Z [2022-11-23 01:29:46,916] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4415512Z [2022-11-23 01:29:46,918] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.4415757Z [2022-11-23 01:29:46,921] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.4415763Z 
2022-11-23T01:32:31.4415858Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4415937Z import torch
2022-11-23T01:32:31.4416013Z import random
2022-11-23T01:32:31.4416136Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4416264Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4416270Z 
2022-11-23T01:32:31.4416357Z aten = torch.ops.aten
2022-11-23T01:32:31.4416500Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4416591Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4416605Z 
2022-11-23T01:32:31.4416673Z import triton
2022-11-23T01:32:31.4416769Z import triton.language as tl
2022-11-23T01:32:31.4416901Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4417044Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4417050Z 
2022-11-23T01:32:31.4417055Z 
2022-11-23T01:32:31.4417229Z triton_fused_add_index_put0 = async_compile.triton('''
2022-11-23T01:32:31.4417304Z import triton
2022-11-23T01:32:31.4417400Z import triton.language as tl
2022-11-23T01:32:31.4417509Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4417613Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4417748Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4417877Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4417882Z 
2022-11-23T01:32:31.4418306Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4418401Z @triton.jit
2022-11-23T01:32:31.4418548Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4418626Z     xnumel = 8192
2022-11-23T01:32:31.4418718Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4418978Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4419065Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4419142Z     x0 = xindex
2022-11-23T01:32:31.4419241Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4419315Z     tmp1 = 1
2022-11-23T01:32:31.4419397Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4419528Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4419663Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4419754Z ''')
2022-11-23T01:32:31.4419759Z 
2022-11-23T01:32:31.4419764Z 
2022-11-23T01:32:31.4419969Z triton_fused_index_put__index_put_add_add_21 = async_compile.triton('''
2022-11-23T01:32:31.4420047Z import triton
2022-11-23T01:32:31.4420140Z import triton.language as tl
2022-11-23T01:32:31.4420258Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4420361Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4420490Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4420620Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4420625Z 
2022-11-23T01:32:31.4421023Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4421100Z @triton.jit
2022-11-23T01:32:31.4421256Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4421331Z     xnumel = 32
2022-11-23T01:32:31.4421431Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4421569Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4421649Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4421730Z     x1 = (xindex // 8)
2022-11-23T01:32:31.4421808Z     x0 = xindex % 8
2022-11-23T01:32:31.4421906Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4422003Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:31.4422075Z     tmp2 = 1
2022-11-23T01:32:31.4422155Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.4422227Z     tmp4 = tmp1 + tmp2
2022-11-23T01:32:31.4422372Z     tl.store(out_ptr0 + (x0 + (8*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4422514Z     tl.store(out_ptr1 + (x0 + (8*tmp3) + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4422602Z ''')
2022-11-23T01:32:31.4422607Z 
2022-11-23T01:32:31.4422612Z 
2022-11-23T01:32:31.4422776Z triton_fused_add_3_add2 = async_compile.triton('''
2022-11-23T01:32:31.4422852Z import triton
2022-11-23T01:32:31.4422948Z import triton.language as tl
2022-11-23T01:32:31.4423056Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4423162Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4423300Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4423428Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4423433Z 
2022-11-23T01:32:31.4423814Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4423889Z @triton.jit
2022-11-23T01:32:31.4424025Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4424101Z     xnumel = 8192
2022-11-23T01:32:31.4424193Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4424325Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4424409Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4424537Z     x0 = xindex
2022-11-23T01:32:31.4424640Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4424738Z     tmp1 = 1
2022-11-23T01:32:31.4424818Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4424949Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4425037Z ''')
2022-11-23T01:32:31.4425043Z 
2022-11-23T01:32:31.4425047Z 
2022-11-23T01:32:31.4425141Z async_compile.wait(globals())
2022-11-23T01:32:31.4425219Z del async_compile
2022-11-23T01:32:31.4425224Z 
2022-11-23T01:32:31.4425300Z def call(args):
2022-11-23T01:32:31.4425387Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4425464Z     args.clear()
2022-11-23T01:32:31.4425674Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4425869Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4425961Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4426125Z     triton_fused_add_index_put0.run(arg0_1, buf0, buf2, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4426201Z     del arg0_1
2022-11-23T01:32:31.4426382Z     triton_fused_index_put__index_put_add_add_21.run(arg1_1, arg2_1, buf0, buf2, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.4426459Z     del arg1_1
2022-11-23T01:32:31.4426532Z     del arg2_1
2022-11-23T01:32:31.4426732Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4426878Z     triton_fused_add_3_add2.run(buf2, buf4, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4426962Z     return (buf0, buf4, )
2022-11-23T01:32:31.4426967Z 
2022-11-23T01:32:31.4426972Z 
2022-11-23T01:32:31.4427055Z if __name__ == "__main__":
2022-11-23T01:32:31.4427176Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4427305Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4427515Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4427712Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4427912Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4428047Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4428052Z 
2022-11-23T01:32:31.4428414Z [2022-11-23 01:29:46,997] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m6/cm6sh3msemlpbtftx5vuezi64g5rm4dc4e46si2xr5o2lx2gqvwp.py
2022-11-23T01:32:31.4428682Z [2022-11-23 01:29:46,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 517
2022-11-23T01:32:31.4428688Z 
2022-11-23T01:32:31.4428788Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4428863Z import torch
2022-11-23T01:32:31.4428939Z import random
2022-11-23T01:32:31.4429062Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4429189Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4429194Z 
2022-11-23T01:32:31.4429273Z aten = torch.ops.aten
2022-11-23T01:32:31.4429418Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4429516Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4429521Z 
2022-11-23T01:32:31.4429596Z import triton
2022-11-23T01:32:31.4429690Z import triton.language as tl
2022-11-23T01:32:31.4429818Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4429962Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4429968Z 
2022-11-23T01:32:31.4429972Z 
2022-11-23T01:32:31.4430145Z triton_fused_add_index_put0 = async_compile.triton('''
2022-11-23T01:32:31.4430215Z import triton
2022-11-23T01:32:31.4430387Z import triton.language as tl
2022-11-23T01:32:31.4430521Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4430641Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4430796Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4430983Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4431008Z 
2022-11-23T01:32:31.4431400Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4431477Z @triton.jit
2022-11-23T01:32:31.4431615Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4431693Z     xnumel = 8192
2022-11-23T01:32:31.4431792Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4431924Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4432010Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4432083Z     x0 = xindex
2022-11-23T01:32:31.4432205Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4432271Z     tmp1 = 1
2022-11-23T01:32:31.4432352Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4432491Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4432630Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4432720Z ''')
2022-11-23T01:32:31.4432726Z 
2022-11-23T01:32:31.4432730Z 
2022-11-23T01:32:31.4432934Z triton_fused_index_put__add_index_put_add_21 = async_compile.triton('''
2022-11-23T01:32:31.4433010Z import triton
2022-11-23T01:32:31.4433097Z import triton.language as tl
2022-11-23T01:32:31.4433216Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4433321Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4433458Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4433586Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4433591Z 
2022-11-23T01:32:31.4433994Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4434070Z @triton.jit
2022-11-23T01:32:31.4434225Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4434299Z     xnumel = 32
2022-11-23T01:32:31.4434392Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4434524Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4434609Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4434691Z     x1 = (xindex // 8)
2022-11-23T01:32:31.4434766Z     x0 = xindex % 8
2022-11-23T01:32:31.4434866Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4434979Z     tmp1 = tl.load(in_ptr1 + (x1), xmask).to(tl.float32)
2022-11-23T01:32:31.4435051Z     tmp2 = 1
2022-11-23T01:32:31.4435131Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.4435213Z     tmp4 = tmp1 + tmp2
2022-11-23T01:32:31.4435357Z     tl.store(out_ptr0 + (x0 + (8*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4435500Z     tl.store(out_ptr1 + (x0 + (8*tmp3) + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4435591Z ''')
2022-11-23T01:32:31.4435596Z 
2022-11-23T01:32:31.4435600Z 
2022-11-23T01:32:31.4435766Z triton_fused_add_3_add2 = async_compile.triton('''
2022-11-23T01:32:31.4435834Z import triton
2022-11-23T01:32:31.4435929Z import triton.language as tl
2022-11-23T01:32:31.4436045Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4436148Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4436283Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4436411Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4436416Z 
2022-11-23T01:32:31.4436792Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4436866Z @triton.jit
2022-11-23T01:32:31.4437020Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4437104Z     xnumel = 8192
2022-11-23T01:32:31.4437226Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4437360Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4437444Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4437516Z     x0 = xindex
2022-11-23T01:32:31.4437636Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4437701Z     tmp1 = 1
2022-11-23T01:32:31.4437781Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.4437920Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.4438013Z ''')
2022-11-23T01:32:31.4438018Z 
2022-11-23T01:32:31.4438023Z 
2022-11-23T01:32:31.4438120Z async_compile.wait(globals())
2022-11-23T01:32:31.4438198Z del async_compile
2022-11-23T01:32:31.4438204Z 
2022-11-23T01:32:31.4438279Z def call(args):
2022-11-23T01:32:31.4438359Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4438437Z     args.clear()
2022-11-23T01:32:31.4438650Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4438854Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4438947Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4439106Z     triton_fused_add_index_put0.run(arg0_1, buf0, buf2, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4439181Z     del arg0_1
2022-11-23T01:32:31.4439360Z     triton_fused_index_put__add_index_put_add_21.run(arg1_1, arg2_1, buf0, buf2, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.4439428Z     del arg1_1
2022-11-23T01:32:31.4439501Z     del arg2_1
2022-11-23T01:32:31.4439710Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4439858Z     triton_fused_add_3_add2.run(buf2, buf4, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4439942Z     return (buf0, buf4, )
2022-11-23T01:32:31.4439947Z 
2022-11-23T01:32:31.4439952Z 
2022-11-23T01:32:31.4440037Z if __name__ == "__main__":
2022-11-23T01:32:31.4440163Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4440294Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4440494Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4440687Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4440891Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4441020Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4441025Z 
2022-11-23T01:32:31.4441098Z ok (0.890s)
2022-11-23T01:32:31.4447776Z   test_index_put2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4448147Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4448377Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4448640Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4448913Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4449231Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4449575Z [2022-11-23 01:29:47,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4449896Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4450322Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467> 
2022-11-23T01:32:31.4450452Z  3468           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4450561Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:31.4450663Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4450761Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4450851Z                8 BUILD_LIST               1
2022-11-23T01:32:31.4450947Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4451049Z               12 LOAD_CONST               1 (True)
2022-11-23T01:32:31.4451144Z               14 CALL_METHOD              4
2022-11-23T01:32:31.4451228Z               16 RETURN_VALUE
2022-11-23T01:32:31.4451295Z  
2022-11-23T01:32:31.4451301Z 
2022-11-23T01:32:31.4451619Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3468
2022-11-23T01:32:31.4451846Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4452209Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4452537Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4452886Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4453263Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4453636Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4454041Z [2022-11-23 01:29:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4454478Z [2022-11-23 01:29:47,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method index_put of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4454729Z [2022-11-23 01:29:47,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4455105Z [2022-11-23 01:29:47,056] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467>
2022-11-23T01:32:31.4455355Z [2022-11-23 01:29:47,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4455591Z [2022-11-23 01:29:47,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4455848Z [2022-11-23 01:29:47,057] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4456093Z [2022-11-23 01:29:47,060] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4456287Z [2022-11-23 01:29:47,061] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4456431Z  __compiled_fn_528 <eval_with_key>.3264 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4456527Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4456651Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4456745Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4457082Z call_function, index_put, <built-in method index_put of type object at 0x7f209c394c60>, (ex_0_, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:31.4457202Z output, output, output, ((index_put,),), {}
2022-11-23T01:32:31.4457208Z 
2022-11-23T01:32:31.4457579Z [2022-11-23 01:29:47,061] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4457685Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4457786Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4457886Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4457991Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4458087Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4458189Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4458266Z              12 RETURN_VALUE
2022-11-23T01:32:31.4458281Z 
2022-11-23T01:32:31.4458344Z  
2022-11-23T01:32:31.4458715Z [2022-11-23 01:29:47,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4459045Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_528)
2022-11-23T01:32:31.4459146Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4459245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4459329Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4459424Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4459513Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4459596Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4459693Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4459788Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4459871Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4459971Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4460070Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4460149Z              24 RETURN_VALUE
2022-11-23T01:32:31.4460165Z 
2022-11-23T01:32:31.4460225Z  
2022-11-23T01:32:31.4460420Z [2022-11-23 01:29:47,062] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4460499Z  - 
2022-11-23T01:32:31.4460627Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4460698Z             {
2022-11-23T01:32:31.4460846Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4461029Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4461154Z                 'obj_weakref': None
2022-11-23T01:32:31.4461384Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4461455Z             }
2022-11-23T01:32:31.4461524Z             
2022-11-23T01:32:31.4461601Z  - 
2022-11-23T01:32:31.4461734Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4461799Z             {
2022-11-23T01:32:31.4461948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4462064Z                 'code': None,
2022-11-23T01:32:31.4462280Z                 'obj_weakref': <weakref at 0x7f1ff814b6a0; to 'Tensor' at 0x7f1fe81b4b30>
2022-11-23T01:32:31.4462533Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4462605Z             }
2022-11-23T01:32:31.4462675Z             
2022-11-23T01:32:31.4462745Z  - 
2022-11-23T01:32:31.4462874Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4462944Z             {
2022-11-23T01:32:31.4463094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4463207Z                 'code': None,
2022-11-23T01:32:31.4463423Z                 'obj_weakref': <weakref at 0x7f1ff8149f80; to 'Tensor' at 0x7f1fe81b6a70>
2022-11-23T01:32:31.4463729Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4463835Z             }
2022-11-23T01:32:31.4463898Z             
2022-11-23T01:32:31.4463975Z  - 
2022-11-23T01:32:31.4464104Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4464174Z             {
2022-11-23T01:32:31.4464322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4464435Z                 'code': None,
2022-11-23T01:32:31.4464641Z                 'obj_weakref': <weakref at 0x7f1ff8149620; to 'Tensor' at 0x7f1fd97db100>
2022-11-23T01:32:31.4464892Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4464962Z             }
2022-11-23T01:32:31.4465031Z             
2022-11-23T01:32:31.4465111Z  - 
2022-11-23T01:32:31.4465249Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4465321Z             {
2022-11-23T01:32:31.4465455Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4465634Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4465766Z                 'obj_weakref': None
2022-11-23T01:32:31.4465999Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4466069Z             }
2022-11-23T01:32:31.4466139Z             
2022-11-23T01:32:31.4466218Z  - 
2022-11-23T01:32:31.4466338Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4466408Z             {
2022-11-23T01:32:31.4466549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4466775Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4466899Z                 'obj_weakref': None
2022-11-23T01:32:31.4467125Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4467199Z             }
2022-11-23T01:32:31.4467268Z             
2022-11-23T01:32:31.4467337Z  - 
2022-11-23T01:32:31.4467479Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4467551Z             {
2022-11-23T01:32:31.4467679Z                 'guard_types': None,
2022-11-23T01:32:31.4467791Z                 'code': None,
2022-11-23T01:32:31.4467914Z                 'obj_weakref': None
2022-11-23T01:32:31.4468033Z                 'guarded_class': None
2022-11-23T01:32:31.4468104Z             }
2022-11-23T01:32:31.4468175Z             
2022-11-23T01:32:31.4468441Z [2022-11-23 01:29:47,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 518
2022-11-23T01:32:31.4468695Z [2022-11-23 01:29:47,074] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4468942Z [2022-11-23 01:29:47,075] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4469298Z [2022-11-23 01:29:47,158] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mp/cmpb7st3fu3b4nxfyjr6vd6gxpj6vq67vbw6y4mhijf3473nirq5.py
2022-11-23T01:32:31.4469569Z [2022-11-23 01:29:47,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 518
2022-11-23T01:32:31.4469577Z 
2022-11-23T01:32:31.4469681Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4469750Z import torch
2022-11-23T01:32:31.4469826Z import random
2022-11-23T01:32:31.4469949Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4470078Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4470083Z 
2022-11-23T01:32:31.4470175Z aten = torch.ops.aten
2022-11-23T01:32:31.4470394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4470509Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4470515Z 
2022-11-23T01:32:31.4470585Z import triton
2022-11-23T01:32:31.4470684Z import triton.language as tl
2022-11-23T01:32:31.4470824Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4470980Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4471022Z 
2022-11-23T01:32:31.4471027Z 
2022-11-23T01:32:31.4471215Z triton_fused_index_put0 = async_compile.triton('''
2022-11-23T01:32:31.4471291Z import triton
2022-11-23T01:32:31.4471385Z import triton.language as tl
2022-11-23T01:32:31.4471503Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4471601Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4471741Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4471871Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4471876Z 
2022-11-23T01:32:31.4472262Z @pointwise(size_hints=[2097152], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.4472337Z @triton.jit
2022-11-23T01:32:31.4472475Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4472554Z     xnumel = 1254400
2022-11-23T01:32:31.4472660Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4472790Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4472877Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4472952Z     x0 = xindex
2022-11-23T01:32:31.4473052Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4473192Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4473280Z ''')
2022-11-23T01:32:31.4473286Z 
2022-11-23T01:32:31.4473290Z 
2022-11-23T01:32:31.4473454Z triton_fused_index_put1 = async_compile.triton('''
2022-11-23T01:32:31.4473524Z import triton
2022-11-23T01:32:31.4473624Z import triton.language as tl
2022-11-23T01:32:31.4473745Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4473850Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4473988Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4474116Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4474125Z 
2022-11-23T01:32:31.4474519Z @pointwise(size_hints=[8388608], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.4474596Z @triton.jit
2022-11-23T01:32:31.4474734Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4474815Z     xnumel = 7526400
2022-11-23T01:32:31.4474916Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4475049Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4475134Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4475219Z     x1 = (xindex // 12544)
2022-11-23T01:32:31.4475292Z     x2 = xindex
2022-11-23T01:32:31.4475365Z     x0 = xindex % 12544
2022-11-23T01:32:31.4475465Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.4475564Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.4475724Z     tl.atomic_add(out_ptr0 + (x0 + (12544*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.4475813Z ''')
2022-11-23T01:32:31.4475818Z 
2022-11-23T01:32:31.4475823Z 
2022-11-23T01:32:31.4475917Z async_compile.wait(globals())
2022-11-23T01:32:31.4475997Z del async_compile
2022-11-23T01:32:31.4476003Z 
2022-11-23T01:32:31.4476082Z def call(args):
2022-11-23T01:32:31.4476164Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4476242Z     args.clear()
2022-11-23T01:32:31.4476465Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4476558Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4476709Z     triton_fused_index_put0.run(arg0_1, buf0, 1254400, grid=grid(1254400), stream=stream0)
2022-11-23T01:32:31.4476784Z     del arg0_1
2022-11-23T01:32:31.4476944Z     triton_fused_index_put1.run(arg1_1, arg2_1, buf0, 7526400, grid=grid(7526400), stream=stream0)
2022-11-23T01:32:31.4477011Z     del arg1_1
2022-11-23T01:32:31.4477085Z     del arg2_1
2022-11-23T01:32:31.4477198Z     return (buf0, )
2022-11-23T01:32:31.4477221Z 
2022-11-23T01:32:31.4477225Z 
2022-11-23T01:32:31.4477308Z if __name__ == "__main__":
2022-11-23T01:32:31.4477434Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4477563Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4477795Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4477995Z     arg1_1 = rand_strided((600, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4478214Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4478344Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4478349Z 
2022-11-23T01:32:31.4478423Z ok (0.161s)
2022-11-23T01:32:31.4478742Z   test_index_put3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4479069Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4479296Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4479553Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4479837Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4480161Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4480505Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4480833Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4481219Z [2022-11-23 01:29:47,164] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482> 
2022-11-23T01:32:31.4481325Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4481426Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.4481529Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.4481637Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:31.4481736Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4481835Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4481925Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4482024Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4482123Z               16 BUILD_TUPLE              3
2022-11-23T01:32:31.4482223Z               18 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4482319Z               20 CALL_METHOD              3
2022-11-23T01:32:31.4482401Z               22 POP_TOP
2022-11-23T01:32:31.4482406Z 
2022-11-23T01:32:31.4482501Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4482591Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4482671Z               28 BINARY_ADD
2022-11-23T01:32:31.4482771Z               30 STORE_FAST               3 (a1)
2022-11-23T01:32:31.4482776Z 
2022-11-23T01:32:31.4482877Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4482975Z               34 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.4483075Z               36 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.4483187Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:31.4483285Z               40 LOAD_FAST                3 (a1)
2022-11-23T01:32:31.4483406Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4483522Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4483618Z               46 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4483698Z               48 BINARY_ADD
2022-11-23T01:32:31.4483797Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4483893Z               52 BUILD_TUPLE              3
2022-11-23T01:32:31.4483988Z               54 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4484078Z               56 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4484158Z               58 BINARY_ADD
2022-11-23T01:32:31.4484253Z               60 CALL_METHOD              3
2022-11-23T01:32:31.4484330Z               62 POP_TOP
2022-11-23T01:32:31.4484336Z 
2022-11-23T01:32:31.4484429Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4484528Z               66 LOAD_FAST                3 (a1)
2022-11-23T01:32:31.4484628Z               68 BUILD_TUPLE              2
2022-11-23T01:32:31.4484704Z               70 RETURN_VALUE
2022-11-23T01:32:31.4484774Z  
2022-11-23T01:32:31.4484779Z 
2022-11-23T01:32:31.4485103Z [2022-11-23 01:29:47,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483
2022-11-23T01:32:31.4485327Z [2022-11-23 01:29:47,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4485690Z [2022-11-23 01:29:47,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4485989Z [2022-11-23 01:29:47,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4486302Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4486565Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4486861Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4487194Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4487548Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4487955Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4488266Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.4488609Z [2022-11-23 01:29:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4488855Z [2022-11-23 01:29:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4489162Z [2022-11-23 01:29:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484
2022-11-23T01:32:31.4489379Z [2022-11-23 01:29:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4489625Z [2022-11-23 01:29:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.4489913Z [2022-11-23 01:29:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4490184Z [2022-11-23 01:29:47,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T01:32:31.4490520Z [2022-11-23 01:29:47,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485
2022-11-23T01:32:31.4490740Z [2022-11-23 01:29:47,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4491110Z [2022-11-23 01:29:47,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4491409Z [2022-11-23 01:29:47,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4491725Z [2022-11-23 01:29:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4491994Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4492294Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4492630Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4492985Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4493385Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4493747Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4494149Z [2022-11-23 01:29:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4494457Z [2022-11-23 01:29:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.4494786Z [2022-11-23 01:29:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4495170Z [2022-11-23 01:29:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4495510Z [2022-11-23 01:29:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4495757Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4496071Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486
2022-11-23T01:32:31.4496288Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4496529Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T01:32:31.4496803Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4497056Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4497464Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482>
2022-11-23T01:32:31.4497726Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4497969Z [2022-11-23 01:29:47,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4498232Z [2022-11-23 01:29:47,184] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4498533Z [2022-11-23 01:29:47,187] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.4498921Z [2022-11-23 01:29:47,187] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.4499185Z [2022-11-23 01:29:47,187] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4499387Z [2022-11-23 01:29:47,187] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4499531Z  __compiled_fn_529 <eval_with_key>.3267 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4499628Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4499715Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4499807Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4499960Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T01:32:31.4500141Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4500320Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4500498Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4500656Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T01:32:31.4500762Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.4500768Z 
2022-11-23T01:32:31.4501090Z [2022-11-23 01:29:47,188] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4501194Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4501292Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4501388Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4501490Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4501582Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4501679Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4501755Z              12 RETURN_VALUE
2022-11-23T01:32:31.4501767Z 
2022-11-23T01:32:31.4501826Z  
2022-11-23T01:32:31.4502144Z [2022-11-23 01:29:47,188] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4502265Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_529)
2022-11-23T01:32:31.4502363Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4502466Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4502550Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4502646Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4502733Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4502818Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4502913Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4503009Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4503091Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4503187Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4503303Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4503393Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4503488Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4503569Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4503726Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4503846Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4503929Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4504026Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4504102Z              38 RETURN_VALUE
2022-11-23T01:32:31.4504118Z 
2022-11-23T01:32:31.4504177Z  
2022-11-23T01:32:31.4504366Z [2022-11-23 01:29:47,188] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4504443Z  - 
2022-11-23T01:32:31.4504571Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4504642Z             {
2022-11-23T01:32:31.4504789Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4504973Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4505097Z                 'obj_weakref': None
2022-11-23T01:32:31.4505325Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4505397Z             }
2022-11-23T01:32:31.4505470Z             
2022-11-23T01:32:31.4505546Z  - 
2022-11-23T01:32:31.4505676Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4505740Z             {
2022-11-23T01:32:31.4505889Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4506001Z                 'code': None,
2022-11-23T01:32:31.4506216Z                 'obj_weakref': <weakref at 0x7f20233e7470; to 'Tensor' at 0x7f1fd97da700>
2022-11-23T01:32:31.4506466Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4506536Z             }
2022-11-23T01:32:31.4506605Z             
2022-11-23T01:32:31.4506681Z  - 
2022-11-23T01:32:31.4506802Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4506872Z             {
2022-11-23T01:32:31.4507021Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4507135Z                 'code': None,
2022-11-23T01:32:31.4507353Z                 'obj_weakref': <weakref at 0x7f20233e5c60; to 'Tensor' at 0x7f1fd97db100>
2022-11-23T01:32:31.4507610Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4507681Z             }
2022-11-23T01:32:31.4507743Z             
2022-11-23T01:32:31.4507821Z  - 
2022-11-23T01:32:31.4507949Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4508019Z             {
2022-11-23T01:32:31.4508167Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4508279Z                 'code': None,
2022-11-23T01:32:31.4508494Z                 'obj_weakref': <weakref at 0x7f1fe03e8360; to 'Tensor' at 0x7f1fe81b6a70>
2022-11-23T01:32:31.4508735Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4508810Z             }
2022-11-23T01:32:31.4508881Z             
2022-11-23T01:32:31.4508959Z  - 
2022-11-23T01:32:31.4509099Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4509172Z             {
2022-11-23T01:32:31.4509307Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4509484Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4509610Z                 'obj_weakref': None
2022-11-23T01:32:31.4509843Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4509914Z             }
2022-11-23T01:32:31.4509985Z             
2022-11-23T01:32:31.4510061Z  - 
2022-11-23T01:32:31.4510183Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4510317Z             {
2022-11-23T01:32:31.4510483Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4510724Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4510851Z                 'obj_weakref': None
2022-11-23T01:32:31.4511118Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4511224Z             }
2022-11-23T01:32:31.4511293Z             
2022-11-23T01:32:31.4511363Z  - 
2022-11-23T01:32:31.4511501Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4511572Z             {
2022-11-23T01:32:31.4511699Z                 'guard_types': None,
2022-11-23T01:32:31.4511814Z                 'code': None,
2022-11-23T01:32:31.4511938Z                 'obj_weakref': None
2022-11-23T01:32:31.4512058Z                 'guarded_class': None
2022-11-23T01:32:31.4512133Z             }
2022-11-23T01:32:31.4512202Z             
2022-11-23T01:32:31.4512490Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4512826Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4513054Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4513311Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4513601Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4513925Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4514266Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4514591Z [2022-11-23 01:29:47,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4514972Z [2022-11-23 01:29:47,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482> 
2022-11-23T01:32:31.4515080Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4515182Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.4515283Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.4515392Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:31.4515490Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4515581Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4515678Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4515778Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4515874Z               16 BUILD_TUPLE              3
2022-11-23T01:32:31.4515969Z               18 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4516067Z               20 CALL_METHOD              3
2022-11-23T01:32:31.4516147Z               22 POP_TOP
2022-11-23T01:32:31.4516153Z 
2022-11-23T01:32:31.4516252Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4516343Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4516423Z               28 BINARY_ADD
2022-11-23T01:32:31.4516524Z               30 STORE_FAST               3 (a1)
2022-11-23T01:32:31.4516529Z 
2022-11-23T01:32:31.4516633Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4516733Z               34 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.4516832Z               36 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.4516940Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:31.4517031Z               40 LOAD_FAST                3 (a1)
2022-11-23T01:32:31.4517128Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4517228Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4517324Z               46 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4517403Z               48 BINARY_ADD
2022-11-23T01:32:31.4517533Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4517648Z               52 BUILD_TUPLE              3
2022-11-23T01:32:31.4517737Z               54 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4517833Z               56 LOAD_CONST               1 (1)
2022-11-23T01:32:31.4517915Z               58 BINARY_ADD
2022-11-23T01:32:31.4518009Z               60 CALL_METHOD              3
2022-11-23T01:32:31.4518087Z               62 POP_TOP
2022-11-23T01:32:31.4518093Z 
2022-11-23T01:32:31.4518188Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4518285Z               66 LOAD_FAST                3 (a1)
2022-11-23T01:32:31.4518380Z               68 BUILD_TUPLE              2
2022-11-23T01:32:31.4518456Z               70 RETURN_VALUE
2022-11-23T01:32:31.4518523Z  
2022-11-23T01:32:31.4518528Z 
2022-11-23T01:32:31.4518852Z [2022-11-23 01:29:47,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483
2022-11-23T01:32:31.4519080Z [2022-11-23 01:29:47,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4519451Z [2022-11-23 01:29:47,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4519750Z [2022-11-23 01:29:47,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4520067Z [2022-11-23 01:29:47,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4520332Z [2022-11-23 01:29:47,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4520629Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4520965Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4521328Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4521729Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4522038Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.4522386Z [2022-11-23 01:29:47,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4522633Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4522944Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484
2022-11-23T01:32:31.4523158Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4523402Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.4523688Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4523935Z [2022-11-23 01:29:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T01:32:31.4524272Z [2022-11-23 01:29:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485
2022-11-23T01:32:31.4524499Z [2022-11-23 01:29:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4524885Z [2022-11-23 01:29:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4525183Z [2022-11-23 01:29:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4525499Z [2022-11-23 01:29:47,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4525766Z [2022-11-23 01:29:47,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4526063Z [2022-11-23 01:29:47,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4526392Z [2022-11-23 01:29:47,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4526746Z [2022-11-23 01:29:47,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4527142Z [2022-11-23 01:29:47,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4527503Z [2022-11-23 01:29:47,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4527903Z [2022-11-23 01:29:47,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4528206Z [2022-11-23 01:29:47,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.4528542Z [2022-11-23 01:29:47,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4528921Z [2022-11-23 01:29:47,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4529265Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:31.4529510Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4529824Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486
2022-11-23T01:32:31.4530044Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4530284Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T01:32:31.4530551Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4530806Z [2022-11-23 01:29:47,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4531187Z [2022-11-23 01:29:47,211] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482>
2022-11-23T01:32:31.4531456Z [2022-11-23 01:29:47,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4531718Z [2022-11-23 01:29:47,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4531979Z [2022-11-23 01:29:47,212] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4532282Z [2022-11-23 01:29:47,215] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.4532554Z [2022-11-23 01:29:47,215] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.4532812Z [2022-11-23 01:29:47,215] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4533008Z [2022-11-23 01:29:47,215] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4533152Z  __compiled_fn_530 <eval_with_key>.3270 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4533252Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4533339Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4533433Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4533586Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T01:32:31.4533767Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.4533947Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.4534127Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:31.4534285Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T01:32:31.4534381Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.4534395Z 
2022-11-23T01:32:31.4534725Z [2022-11-23 01:29:47,216] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4534829Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4534931Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4535030Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4535131Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4535223Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4535319Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4535395Z              12 RETURN_VALUE
2022-11-23T01:32:31.4535400Z 
2022-11-23T01:32:31.4535468Z  
2022-11-23T01:32:31.4535787Z [2022-11-23 01:29:47,216] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4535907Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_530)
2022-11-23T01:32:31.4536008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4536108Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4536193Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4536291Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4536380Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4536467Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4536565Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4536660Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4536742Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4536838Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4536951Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4537039Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4537135Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4537216Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4537327Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4537423Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4537506Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4537602Z              36 BUILD_TUPLE              2
2022-11-23T01:32:31.4537711Z              38 RETURN_VALUE
2022-11-23T01:32:31.4537759Z 
2022-11-23T01:32:31.4537826Z  
2022-11-23T01:32:31.4538015Z [2022-11-23 01:29:47,217] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4538092Z  - 
2022-11-23T01:32:31.4538217Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4538287Z             {
2022-11-23T01:32:31.4538433Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4538617Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.4538742Z                 'obj_weakref': None
2022-11-23T01:32:31.4539192Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4539264Z             }
2022-11-23T01:32:31.4539334Z             
2022-11-23T01:32:31.4539412Z  - 
2022-11-23T01:32:31.4539542Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4539605Z             {
2022-11-23T01:32:31.4539754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4539867Z                 'code': None,
2022-11-23T01:32:31.4540089Z                 'obj_weakref': <weakref at 0x7f1fd9b9b420; to 'Tensor' at 0x7f1fe81b4b30>
2022-11-23T01:32:31.4540342Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4540414Z             }
2022-11-23T01:32:31.4540483Z             
2022-11-23T01:32:31.4540553Z  - 
2022-11-23T01:32:31.4540681Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4540750Z             {
2022-11-23T01:32:31.4540900Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4541013Z                 'code': None,
2022-11-23T01:32:31.4541227Z                 'obj_weakref': <weakref at 0x7f20233e5c60; to 'Tensor' at 0x7f1fd97db100>
2022-11-23T01:32:31.4541479Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4541542Z             }
2022-11-23T01:32:31.4541614Z             
2022-11-23T01:32:31.4541693Z  - 
2022-11-23T01:32:31.4541820Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4541891Z             {
2022-11-23T01:32:31.4542037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4542149Z                 'code': None,
2022-11-23T01:32:31.4542355Z                 'obj_weakref': <weakref at 0x7f1fd9b9b7e0; to 'Tensor' at 0x7f207277f510>
2022-11-23T01:32:31.4542633Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4542713Z             }
2022-11-23T01:32:31.4542798Z             
2022-11-23T01:32:31.4542874Z  - 
2022-11-23T01:32:31.4543012Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4543082Z             {
2022-11-23T01:32:31.4543217Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4543395Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4543523Z                 'obj_weakref': None
2022-11-23T01:32:31.4543762Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4543838Z             }
2022-11-23T01:32:31.4543907Z             
2022-11-23T01:32:31.4543984Z  - 
2022-11-23T01:32:31.4544105Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4544178Z             {
2022-11-23T01:32:31.4544320Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4544543Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4544669Z                 'obj_weakref': None
2022-11-23T01:32:31.4544897Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4544968Z             }
2022-11-23T01:32:31.4545030Z             
2022-11-23T01:32:31.4545105Z  - 
2022-11-23T01:32:31.4545245Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4545315Z             {
2022-11-23T01:32:31.4545494Z                 'guard_types': None,
2022-11-23T01:32:31.4545631Z                 'code': None,
2022-11-23T01:32:31.4545755Z                 'obj_weakref': None
2022-11-23T01:32:31.4545876Z                 'guarded_class': None
2022-11-23T01:32:31.4545947Z             }
2022-11-23T01:32:31.4546016Z             
2022-11-23T01:32:31.4546089Z ok (0.058s)
2022-11-23T01:32:31.4546427Z   test_index_put_as_masked_fill_cuda (__main__.CudaTests) ... [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4546751Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4546979Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4547239Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4547518Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4547845Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4548195Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4548527Z [2022-11-23 01:29:47,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4548909Z [2022-11-23 01:29:47,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:31.4549011Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4549118Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4549217Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4549317Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4549322Z 
2022-11-23T01:32:31.4549417Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4549517Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4549615Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4549725Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4549823Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4549919Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4550017Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4550113Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4550200Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4550400Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4550495Z               28 POP_TOP
2022-11-23T01:32:31.4550506Z 
2022-11-23T01:32:31.4550622Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4550705Z               32 RETURN_VALUE
2022-11-23T01:32:31.4550771Z  
2022-11-23T01:32:31.4550776Z 
2022-11-23T01:32:31.4551100Z [2022-11-23 01:29:47,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:31.4551317Z [2022-11-23 01:29:47,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4551561Z [2022-11-23 01:29:47,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4551845Z [2022-11-23 01:29:47,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4552088Z [2022-11-23 01:29:47,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4552455Z [2022-11-23 01:29:47,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:31.4552705Z [2022-11-23 01:29:47,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4553072Z [2022-11-23 01:29:47,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4553369Z [2022-11-23 01:29:47,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4553684Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4553946Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4554237Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4554553Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4554860Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4555199Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4555585Z [2022-11-23 01:29:47,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4555834Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4556151Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:31.4556369Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4556622Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4557006Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:31.4557253Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4557482Z [2022-11-23 01:29:47,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4557739Z [2022-11-23 01:29:47,232] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4557998Z [2022-11-23 01:29:47,235] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4558193Z [2022-11-23 01:29:47,235] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4558336Z  __compiled_fn_531 <eval_with_key>.3276 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4558431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4558527Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4558618Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4558710Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4558859Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:31.4558963Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4558968Z 
2022-11-23T01:32:31.4559324Z [2022-11-23 01:29:47,235] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4559453Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4559551Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4559645Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4559746Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4559830Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4559924Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4560006Z              12 RETURN_VALUE
2022-11-23T01:32:31.4560011Z 
2022-11-23T01:32:31.4560077Z  
2022-11-23T01:32:31.4560397Z [2022-11-23 01:29:47,235] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4560519Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_531)
2022-11-23T01:32:31.4560615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4560714Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4560789Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4560885Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4560978Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4561059Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4561153Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4561246Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4561326Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4561413Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4561508Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4561589Z              24 RETURN_VALUE
2022-11-23T01:32:31.4561594Z 
2022-11-23T01:32:31.4561659Z  
2022-11-23T01:32:31.4561847Z [2022-11-23 01:29:47,236] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4561924Z  - 
2022-11-23T01:32:31.4562049Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4562110Z             {
2022-11-23T01:32:31.4562256Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4562448Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4562570Z                 'obj_weakref': None
2022-11-23T01:32:31.4562796Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4562866Z             }
2022-11-23T01:32:31.4562934Z             
2022-11-23T01:32:31.4563003Z  - 
2022-11-23T01:32:31.4563131Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4563199Z             {
2022-11-23T01:32:31.4563347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4563459Z                 'code': None,
2022-11-23T01:32:31.4563676Z                 'obj_weakref': <weakref at 0x7f1fd9b9b100; to 'Tensor' at 0x7f1fead349a0>
2022-11-23T01:32:31.4563924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4563988Z             }
2022-11-23T01:32:31.4564057Z             
2022-11-23T01:32:31.4564136Z  - 
2022-11-23T01:32:31.4564261Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4564329Z             {
2022-11-23T01:32:31.4564476Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4564586Z                 'code': None,
2022-11-23T01:32:31.4564790Z                 'obj_weakref': <weakref at 0x7f1fd9b98310; to 'Tensor' at 0x7f1fe0305350>
2022-11-23T01:32:31.4565041Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4565112Z             }
2022-11-23T01:32:31.4565181Z             
2022-11-23T01:32:31.4565258Z  - 
2022-11-23T01:32:31.4565384Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4565454Z             {
2022-11-23T01:32:31.4565595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4565708Z                 'code': None,
2022-11-23T01:32:31.4565957Z                 'obj_weakref': <weakref at 0x7f1fd9b9bdd0; to 'Tensor' at 0x7f1feadc2610>
2022-11-23T01:32:31.4566229Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4566298Z             }
2022-11-23T01:32:31.4566367Z             
2022-11-23T01:32:31.4566444Z  - 
2022-11-23T01:32:31.4566571Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4566640Z             {
2022-11-23T01:32:31.4566781Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4566956Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:31.4567080Z                 'obj_weakref': None
2022-11-23T01:32:31.4567305Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4567373Z             }
2022-11-23T01:32:31.4567434Z             
2022-11-23T01:32:31.4567510Z  - 
2022-11-23T01:32:31.4567645Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4567713Z             {
2022-11-23T01:32:31.4567857Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4568037Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4568161Z                 'obj_weakref': None
2022-11-23T01:32:31.4568389Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4568457Z             }
2022-11-23T01:32:31.4568524Z             
2022-11-23T01:32:31.4568601Z  - 
2022-11-23T01:32:31.4568728Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4568795Z             {
2022-11-23T01:32:31.4568938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4569154Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4569277Z                 'obj_weakref': None
2022-11-23T01:32:31.4569504Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4569578Z             }
2022-11-23T01:32:31.4569649Z             
2022-11-23T01:32:31.4569727Z  - 
2022-11-23T01:32:31.4569865Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4569926Z             {
2022-11-23T01:32:31.4570052Z                 'guard_types': None,
2022-11-23T01:32:31.4570163Z                 'code': None,
2022-11-23T01:32:31.4570286Z                 'obj_weakref': None
2022-11-23T01:32:31.4570411Z                 'guarded_class': None
2022-11-23T01:32:31.4570480Z             }
2022-11-23T01:32:31.4570549Z             
2022-11-23T01:32:31.4570804Z [2022-11-23 01:29:47,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 519
2022-11-23T01:32:31.4571059Z [2022-11-23 01:29:47,246] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4571431Z [2022-11-23 01:29:47,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fv/cfvgic4ijjjgsxcpgivfi2jmjet57xyxgxhjxqkbaab2qparlhtp.py
2022-11-23T01:32:31.4571700Z [2022-11-23 01:29:47,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 519
2022-11-23T01:32:31.4571941Z [2022-11-23 01:29:47,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4572255Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4572492Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4572788Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4573070Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4573417Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4573768Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4574112Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4574488Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:31.4574590Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4574694Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4574790Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4574888Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4574894Z 
2022-11-23T01:32:31.4574996Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4575088Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4575189Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4575298Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4575398Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4575492Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4575588Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4575681Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4575766Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4575859Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4575937Z               28 POP_TOP
2022-11-23T01:32:31.4575943Z 
2022-11-23T01:32:31.4576036Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4576118Z               32 RETURN_VALUE
2022-11-23T01:32:31.4576183Z  
2022-11-23T01:32:31.4576188Z 
2022-11-23T01:32:31.4576512Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:31.4576733Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4576984Z [2022-11-23 01:29:47,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4577261Z [2022-11-23 01:29:47,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4577502Z [2022-11-23 01:29:47,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4577818Z [2022-11-23 01:29:47,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:31.4578041Z [2022-11-23 01:29:47,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4578407Z [2022-11-23 01:29:47,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4578707Z [2022-11-23 01:29:47,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4579146Z [2022-11-23 01:29:47,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4579412Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4579702Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4580021Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4580367Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4580731Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4581113Z [2022-11-23 01:29:47,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4581358Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4581675Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:31.4581892Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4582145Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4582530Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:31.4582783Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4583023Z [2022-11-23 01:29:47,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4583274Z [2022-11-23 01:29:47,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4583529Z [2022-11-23 01:29:47,330] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4583730Z [2022-11-23 01:29:47,330] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4583875Z  __compiled_fn_532 <eval_with_key>.3282 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4583972Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4584065Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4584156Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4584255Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4584396Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:31.4584498Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4584504Z 
2022-11-23T01:32:31.4584829Z [2022-11-23 01:29:47,330] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4584929Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4585027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4585121Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4585223Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4585316Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4585404Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4585485Z              12 RETURN_VALUE
2022-11-23T01:32:31.4585491Z 
2022-11-23T01:32:31.4585556Z  
2022-11-23T01:32:31.4585874Z [2022-11-23 01:29:47,330] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4585998Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_532)
2022-11-23T01:32:31.4586098Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4586194Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4586279Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4586367Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4586462Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4586544Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4586669Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4586788Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4586870Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4586966Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4587056Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4587137Z              24 RETURN_VALUE
2022-11-23T01:32:31.4587143Z 
2022-11-23T01:32:31.4587209Z  
2022-11-23T01:32:31.4587399Z [2022-11-23 01:29:47,331] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4587476Z  - 
2022-11-23T01:32:31.4587599Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4587669Z             {
2022-11-23T01:32:31.4587807Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4587997Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4588121Z                 'obj_weakref': None
2022-11-23T01:32:31.4588352Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4588425Z             }
2022-11-23T01:32:31.4588495Z             
2022-11-23T01:32:31.4588571Z  - 
2022-11-23T01:32:31.4588692Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4588761Z             {
2022-11-23T01:32:31.4588908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4589020Z                 'code': None,
2022-11-23T01:32:31.4589235Z                 'obj_weakref': <weakref at 0x7f1fd8311b70; to 'Tensor' at 0x7f1fe03eb060>
2022-11-23T01:32:31.4589484Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4589557Z             }
2022-11-23T01:32:31.4589619Z             
2022-11-23T01:32:31.4589695Z  - 
2022-11-23T01:32:31.4589827Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4589896Z             {
2022-11-23T01:32:31.4590044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4590160Z                 'code': None,
2022-11-23T01:32:31.4590456Z                 'obj_weakref': <weakref at 0x7f1fd9b98310; to 'Tensor' at 0x7f1fe0305350>
2022-11-23T01:32:31.4590704Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4590774Z             }
2022-11-23T01:32:31.4590844Z             
2022-11-23T01:32:31.4590920Z  - 
2022-11-23T01:32:31.4591049Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4591121Z             {
2022-11-23T01:32:31.4591272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4591377Z                 'code': None,
2022-11-23T01:32:31.4591592Z                 'obj_weakref': <weakref at 0x7f1fd8312bb0; to 'Tensor' at 0x7f1fe81dc860>
2022-11-23T01:32:31.4591844Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4591914Z             }
2022-11-23T01:32:31.4591983Z             
2022-11-23T01:32:31.4592064Z  - 
2022-11-23T01:32:31.4592200Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4592265Z             {
2022-11-23T01:32:31.4592405Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4592576Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:31.4592705Z                 'obj_weakref': None
2022-11-23T01:32:31.4592927Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4592997Z             }
2022-11-23T01:32:31.4593064Z             
2022-11-23T01:32:31.4593134Z  - 
2022-11-23T01:32:31.4593270Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4593340Z             {
2022-11-23T01:32:31.4593483Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4593657Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4593782Z                 'obj_weakref': None
2022-11-23T01:32:31.4594049Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4594130Z             }
2022-11-23T01:32:31.4594203Z             
2022-11-23T01:32:31.4594279Z  - 
2022-11-23T01:32:31.4594407Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4594476Z             {
2022-11-23T01:32:31.4594618Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4594840Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4594956Z                 'obj_weakref': None
2022-11-23T01:32:31.4595179Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4595248Z             }
2022-11-23T01:32:31.4595317Z             
2022-11-23T01:32:31.4595393Z  - 
2022-11-23T01:32:31.4595532Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4595601Z             {
2022-11-23T01:32:31.4595719Z                 'guard_types': None,
2022-11-23T01:32:31.4595836Z                 'code': None,
2022-11-23T01:32:31.4595960Z                 'obj_weakref': None
2022-11-23T01:32:31.4596093Z                 'guarded_class': None
2022-11-23T01:32:31.4596162Z             }
2022-11-23T01:32:31.4596230Z             
2022-11-23T01:32:31.4596495Z [2022-11-23 01:29:47,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 520
2022-11-23T01:32:31.4596743Z [2022-11-23 01:29:47,341] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4597111Z [2022-11-23 01:29:47,408] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z3/cz3ewrh6u7y63ertsiyfkper2mqsozxxhezvufic67xmxsshtk74.py
2022-11-23T01:32:31.4597381Z [2022-11-23 01:29:47,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 520
2022-11-23T01:32:31.4597622Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4597949Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4598177Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4598434Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4598714Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4599038Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4599378Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4599703Z [2022-11-23 01:29:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4600086Z [2022-11-23 01:29:47,414] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:31.4600187Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4600290Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4600386Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4600484Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4600490Z 
2022-11-23T01:32:31.4600590Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4600689Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4600779Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4600888Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4601016Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4601114Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4601228Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4601321Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4601415Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4601501Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4601580Z               28 POP_TOP
2022-11-23T01:32:31.4601586Z 
2022-11-23T01:32:31.4601679Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4601760Z               32 RETURN_VALUE
2022-11-23T01:32:31.4601826Z  
2022-11-23T01:32:31.4601831Z 
2022-11-23T01:32:31.4602180Z [2022-11-23 01:29:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:31.4602421Z [2022-11-23 01:29:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4602674Z [2022-11-23 01:29:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4602963Z [2022-11-23 01:29:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4603198Z [2022-11-23 01:29:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4603512Z [2022-11-23 01:29:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:31.4603737Z [2022-11-23 01:29:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4604102Z [2022-11-23 01:29:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4604396Z [2022-11-23 01:29:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4604711Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4604974Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4605260Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4605572Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4605880Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4606208Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4606595Z [2022-11-23 01:29:47,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4606843Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4607158Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:31.4607373Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4607624Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4608035Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:31.4608312Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4608548Z [2022-11-23 01:29:47,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4608804Z [2022-11-23 01:29:47,423] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4609057Z [2022-11-23 01:29:47,426] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4609245Z [2022-11-23 01:29:47,426] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4609389Z  __compiled_fn_533 <eval_with_key>.3288 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4609484Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4609577Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4609669Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4609771Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4609921Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:31.4610017Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4610022Z 
2022-11-23T01:32:31.4610347Z [2022-11-23 01:29:47,427] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4610448Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4610546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4610641Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4610743Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4610835Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4610930Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4611005Z              12 RETURN_VALUE
2022-11-23T01:32:31.4611010Z 
2022-11-23T01:32:31.4611077Z  
2022-11-23T01:32:31.4611398Z [2022-11-23 01:29:47,427] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4611518Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_533)
2022-11-23T01:32:31.4611615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4611712Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4611796Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4611884Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4611982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4612063Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4612156Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4612252Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4612333Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4612429Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4612531Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4612607Z              24 RETURN_VALUE
2022-11-23T01:32:31.4612612Z 
2022-11-23T01:32:31.4612681Z  
2022-11-23T01:32:31.4612873Z [2022-11-23 01:29:47,427] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4612949Z  - 
2022-11-23T01:32:31.4613073Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4613143Z             {
2022-11-23T01:32:31.4613293Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4613480Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4613607Z                 'obj_weakref': None
2022-11-23T01:32:31.4613837Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4613910Z             }
2022-11-23T01:32:31.4613982Z             
2022-11-23T01:32:31.4614059Z  - 
2022-11-23T01:32:31.4614188Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4614250Z             {
2022-11-23T01:32:31.4614430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4614563Z                 'code': None,
2022-11-23T01:32:31.4614780Z                 'obj_weakref': <weakref at 0x7f1fd9b989f0; to 'Tensor' at 0x7f20233e4950>
2022-11-23T01:32:31.4615036Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4615106Z             }
2022-11-23T01:32:31.4615175Z             
2022-11-23T01:32:31.4615244Z  - 
2022-11-23T01:32:31.4615375Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4615444Z             {
2022-11-23T01:32:31.4615594Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4615708Z                 'code': None,
2022-11-23T01:32:31.4615925Z                 'obj_weakref': <weakref at 0x7f1fd8c98400; to 'Tensor' at 0x7f1fead4d800>
2022-11-23T01:32:31.4616178Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4616243Z             }
2022-11-23T01:32:31.4616314Z             
2022-11-23T01:32:31.4616393Z  - 
2022-11-23T01:32:31.4616525Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4616594Z             {
2022-11-23T01:32:31.4616744Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4616856Z                 'code': None,
2022-11-23T01:32:31.4617064Z                 'obj_weakref': <weakref at 0x7f1fd8c9b7e0; to 'Tensor' at 0x7f1fe0305350>
2022-11-23T01:32:31.4617315Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4617384Z             }
2022-11-23T01:32:31.4617453Z             
2022-11-23T01:32:31.4617532Z  - 
2022-11-23T01:32:31.4617667Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4617736Z             {
2022-11-23T01:32:31.4617870Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4618043Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:31.4618170Z                 'obj_weakref': None
2022-11-23T01:32:31.4618396Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4618467Z             }
2022-11-23T01:32:31.4618535Z             
2022-11-23T01:32:31.4618612Z  - 
2022-11-23T01:32:31.4618741Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4619013Z             {
2022-11-23T01:32:31.4619156Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4619332Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4619458Z                 'obj_weakref': None
2022-11-23T01:32:31.4619692Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4619762Z             }
2022-11-23T01:32:31.4619824Z             
2022-11-23T01:32:31.4619903Z  - 
2022-11-23T01:32:31.4620029Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4620097Z             {
2022-11-23T01:32:31.4620243Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4620469Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4620595Z                 'obj_weakref': None
2022-11-23T01:32:31.4620812Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4620881Z             }
2022-11-23T01:32:31.4620948Z             
2022-11-23T01:32:31.4621024Z  - 
2022-11-23T01:32:31.4621163Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4621231Z             {
2022-11-23T01:32:31.4621350Z                 'guard_types': None,
2022-11-23T01:32:31.4621460Z                 'code': None,
2022-11-23T01:32:31.4621583Z                 'obj_weakref': None
2022-11-23T01:32:31.4621709Z                 'guarded_class': None
2022-11-23T01:32:31.4621778Z             }
2022-11-23T01:32:31.4621846Z             
2022-11-23T01:32:31.4622159Z [2022-11-23 01:29:47,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 521
2022-11-23T01:32:31.4622438Z [2022-11-23 01:29:47,439] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4622796Z [2022-11-23 01:29:47,507] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7c/c7cqr3hf5asjgtokmxuvvmvl5qm4rd2gert6f7rsccsq44gevujk.py
2022-11-23T01:32:31.4623066Z [2022-11-23 01:29:47,507] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 521
2022-11-23T01:32:31.4623309Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4623627Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4623850Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4624109Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4624393Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4624715Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4625060Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4625388Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4625759Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:31.4625862Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4625968Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4626064Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4626163Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4626168Z 
2022-11-23T01:32:31.4626268Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4626365Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4626465Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4626567Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4626666Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4626763Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4626858Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4626951Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4627047Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4627141Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4627215Z               28 POP_TOP
2022-11-23T01:32:31.4627220Z 
2022-11-23T01:32:31.4627314Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4627396Z               32 RETURN_VALUE
2022-11-23T01:32:31.4627463Z  
2022-11-23T01:32:31.4627469Z 
2022-11-23T01:32:31.4627789Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:32:31.4628005Z [2022-11-23 01:29:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4628257Z [2022-11-23 01:29:47,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4628544Z [2022-11-23 01:29:47,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4628821Z [2022-11-23 01:29:47,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4629152Z [2022-11-23 01:29:47,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:32:31.4629377Z [2022-11-23 01:29:47,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4629744Z [2022-11-23 01:29:47,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4630046Z [2022-11-23 01:29:47,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4630436Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4630731Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4631019Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4631331Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4631638Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4631967Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4632342Z [2022-11-23 01:29:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4632581Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4632894Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:32:31.4633108Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4633362Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4633745Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:31.4633991Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4634229Z [2022-11-23 01:29:47,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4634492Z [2022-11-23 01:29:47,522] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4634750Z [2022-11-23 01:29:47,525] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4634937Z [2022-11-23 01:29:47,525] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4635079Z  __compiled_fn_534 <eval_with_key>.3294 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4635176Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4635270Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4635362Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4635466Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4635615Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:31.4635718Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4635723Z 
2022-11-23T01:32:31.4636076Z [2022-11-23 01:29:47,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4636198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4636295Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4636389Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4636492Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4636583Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4636677Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4636759Z              12 RETURN_VALUE
2022-11-23T01:32:31.4636765Z 
2022-11-23T01:32:31.4636824Z  
2022-11-23T01:32:31.4637147Z [2022-11-23 01:29:47,526] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4637265Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_534)
2022-11-23T01:32:31.4637364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4637464Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4637547Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4637642Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4637730Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4637812Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4637906Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4638000Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4638082Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4638176Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4638272Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4638346Z              24 RETURN_VALUE
2022-11-23T01:32:31.4638359Z 
2022-11-23T01:32:31.4638418Z  
2022-11-23T01:32:31.4638608Z [2022-11-23 01:29:47,526] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4638686Z  - 
2022-11-23T01:32:31.4638813Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4638888Z             {
2022-11-23T01:32:31.4639035Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4639226Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4639352Z                 'obj_weakref': None
2022-11-23T01:32:31.4639581Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4639652Z             }
2022-11-23T01:32:31.4639726Z             
2022-11-23T01:32:31.4639802Z  - 
2022-11-23T01:32:31.4639931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4639993Z             {
2022-11-23T01:32:31.4640143Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4640255Z                 'code': None,
2022-11-23T01:32:31.4640469Z                 'obj_weakref': <weakref at 0x7f201e6f8b30; to 'Tensor' at 0x7f1fd83c1210>
2022-11-23T01:32:31.4640721Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4640794Z             }
2022-11-23T01:32:31.4640863Z             
2022-11-23T01:32:31.4640933Z  - 
2022-11-23T01:32:31.4641060Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4641129Z             {
2022-11-23T01:32:31.4641276Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4641389Z                 'code': None,
2022-11-23T01:32:31.4641603Z                 'obj_weakref': <weakref at 0x7f1fd8c98400; to 'Tensor' at 0x7f1fead4d800>
2022-11-23T01:32:31.4641856Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4641925Z             }
2022-11-23T01:32:31.4641987Z             
2022-11-23T01:32:31.4642063Z  - 
2022-11-23T01:32:31.4642191Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4642260Z             {
2022-11-23T01:32:31.4642407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4642550Z                 'code': None,
2022-11-23T01:32:31.4642766Z                 'obj_weakref': <weakref at 0x7f1ff8148770; to 'Tensor' at 0x7f2023379990>
2022-11-23T01:32:31.4643011Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4643081Z             }
2022-11-23T01:32:31.4643150Z             
2022-11-23T01:32:31.4643226Z  - 
2022-11-23T01:32:31.4643360Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4643429Z             {
2022-11-23T01:32:31.4643561Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4643733Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:31.4643857Z                 'obj_weakref': None
2022-11-23T01:32:31.4644079Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4644149Z             }
2022-11-23T01:32:31.4644218Z             
2022-11-23T01:32:31.4644295Z  - 
2022-11-23T01:32:31.4644425Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4644497Z             {
2022-11-23T01:32:31.4644634Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4644807Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4644930Z                 'obj_weakref': None
2022-11-23T01:32:31.4645157Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4645227Z             }
2022-11-23T01:32:31.4645296Z             
2022-11-23T01:32:31.4645365Z  - 
2022-11-23T01:32:31.4645490Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4645558Z             {
2022-11-23T01:32:31.4645699Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4645918Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4646042Z                 'obj_weakref': None
2022-11-23T01:32:31.4646264Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4646329Z             }
2022-11-23T01:32:31.4646397Z             
2022-11-23T01:32:31.4646474Z  - 
2022-11-23T01:32:31.4646612Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4646681Z             {
2022-11-23T01:32:31.4646806Z                 'guard_types': None,
2022-11-23T01:32:31.4646910Z                 'code': None,
2022-11-23T01:32:31.4647034Z                 'obj_weakref': None
2022-11-23T01:32:31.4647157Z                 'guarded_class': None
2022-11-23T01:32:31.4647227Z             }
2022-11-23T01:32:31.4647295Z             
2022-11-23T01:32:31.4647559Z [2022-11-23 01:29:47,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 522
2022-11-23T01:32:31.4647810Z [2022-11-23 01:29:47,537] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4647816Z 
2022-11-23T01:32:31.4647916Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4647987Z import torch
2022-11-23T01:32:31.4648066Z import random
2022-11-23T01:32:31.4648189Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4648316Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4648321Z 
2022-11-23T01:32:31.4648405Z aten = torch.ops.aten
2022-11-23T01:32:31.4648546Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4648645Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4648650Z 
2022-11-23T01:32:31.4648719Z import triton
2022-11-23T01:32:31.4648812Z import triton.language as tl
2022-11-23T01:32:31.4648939Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4649083Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4649089Z 
2022-11-23T01:32:31.4649094Z 
2022-11-23T01:32:31.4649274Z triton_fused_clone_index_put_0 = async_compile.triton('''
2022-11-23T01:32:31.4649351Z import triton
2022-11-23T01:32:31.4649444Z import triton.language as tl
2022-11-23T01:32:31.4649612Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4649730Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4649865Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4649994Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4650000Z 
2022-11-23T01:32:31.4650406Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4650480Z @triton.jit
2022-11-23T01:32:31.4650634Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4650710Z     xnumel = 8192
2022-11-23T01:32:31.4650810Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4650936Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4651023Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4651097Z     x0 = xindex
2022-11-23T01:32:31.4651199Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4651339Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.4651435Z     tmp2 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.4651532Z     tmp3 = tl.where(tmp0, tmp1, tmp2)
2022-11-23T01:32:31.4651662Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.4651750Z ''')
2022-11-23T01:32:31.4651755Z 
2022-11-23T01:32:31.4651760Z 
2022-11-23T01:32:31.4651854Z async_compile.wait(globals())
2022-11-23T01:32:31.4651934Z del async_compile
2022-11-23T01:32:31.4651939Z 
2022-11-23T01:32:31.4652016Z def call(args):
2022-11-23T01:32:31.4652103Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4652183Z     args.clear()
2022-11-23T01:32:31.4652394Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4652479Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4652651Z     triton_fused_clone_index_put_0.run(arg1_1, arg2_1, arg0_1, buf0, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4652727Z     del arg0_1
2022-11-23T01:32:31.4652800Z     del arg1_1
2022-11-23T01:32:31.4652874Z     del arg2_1
2022-11-23T01:32:31.4652951Z     return (buf0, )
2022-11-23T01:32:31.4652956Z 
2022-11-23T01:32:31.4652961Z 
2022-11-23T01:32:31.4653043Z if __name__ == "__main__":
2022-11-23T01:32:31.4653157Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4653288Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4653500Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4653704Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4653893Z     arg2_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4654022Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4654029Z 
2022-11-23T01:32:31.4654033Z 
2022-11-23T01:32:31.4654137Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4654213Z import torch
2022-11-23T01:32:31.4654281Z import random
2022-11-23T01:32:31.4654403Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4654532Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4654537Z 
2022-11-23T01:32:31.4654621Z aten = torch.ops.aten
2022-11-23T01:32:31.4654762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4654860Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4654866Z 
2022-11-23T01:32:31.4654941Z import triton
2022-11-23T01:32:31.4655035Z import triton.language as tl
2022-11-23T01:32:31.4655156Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4655300Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4655306Z 
2022-11-23T01:32:31.4655310Z 
2022-11-23T01:32:31.4655514Z triton_fused_index_put__clone0 = async_compile.triton('''
2022-11-23T01:32:31.4655620Z import triton
2022-11-23T01:32:31.4655714Z import triton.language as tl
2022-11-23T01:32:31.4655832Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4655935Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4656063Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4656192Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4656198Z 
2022-11-23T01:32:31.4656603Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4656678Z @triton.jit
2022-11-23T01:32:31.4656830Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4656906Z     xnumel = 8192
2022-11-23T01:32:31.4657007Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4657141Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4657228Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4657294Z     x0 = xindex
2022-11-23T01:32:31.4657391Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4657540Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.4657661Z     tmp2 = tl.load(in_ptr2 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4657758Z     tmp3 = tl.where(tmp0, tmp1, tmp2)
2022-11-23T01:32:31.4657895Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.4657982Z ''')
2022-11-23T01:32:31.4657988Z 
2022-11-23T01:32:31.4657992Z 
2022-11-23T01:32:31.4658079Z async_compile.wait(globals())
2022-11-23T01:32:31.4658156Z del async_compile
2022-11-23T01:32:31.4658161Z 
2022-11-23T01:32:31.4658238Z def call(args):
2022-11-23T01:32:31.4658324Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4658402Z     args.clear()
2022-11-23T01:32:31.4658611Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4658703Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4659063Z     triton_fused_index_put__clone0.run(arg1_1, arg2_1, arg0_1, buf0, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4659131Z     del arg0_1
2022-11-23T01:32:31.4659205Z     del arg1_1
2022-11-23T01:32:31.4659278Z     del arg2_1
2022-11-23T01:32:31.4659355Z     return (buf0, )
2022-11-23T01:32:31.4659360Z 
2022-11-23T01:32:31.4659365Z 
2022-11-23T01:32:31.4659450Z if __name__ == "__main__":
2022-11-23T01:32:31.4659571Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4659706Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4659911Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4660115Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4660310Z     arg2_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4660441Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4660446Z 
2022-11-23T01:32:31.4660451Z 
2022-11-23T01:32:31.4660555Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4660631Z import torch
2022-11-23T01:32:31.4660708Z import random
2022-11-23T01:32:31.4660829Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4660948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4660953Z 
2022-11-23T01:32:31.4661037Z aten = torch.ops.aten
2022-11-23T01:32:31.4661177Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4661275Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4661280Z 
2022-11-23T01:32:31.4661356Z import triton
2022-11-23T01:32:31.4661450Z import triton.language as tl
2022-11-23T01:32:31.4661577Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4661760Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4661797Z 
2022-11-23T01:32:31.4661802Z 
2022-11-23T01:32:31.4661975Z triton_fused_clone_index_put_0 = async_compile.triton('''
2022-11-23T01:32:31.4662053Z import triton
2022-11-23T01:32:31.4662149Z import triton.language as tl
2022-11-23T01:32:31.4662267Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4662396Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4662547Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4662681Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4662686Z 
2022-11-23T01:32:31.4663089Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4663157Z @triton.jit
2022-11-23T01:32:31.4663312Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4663391Z     xnumel = 8192
2022-11-23T01:32:31.4663491Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4663630Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4663716Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4663789Z     x0 = xindex
2022-11-23T01:32:31.4663880Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4663979Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.4664114Z     tmp2 = tl.load(in_ptr2 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.4664195Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.4664291Z     tmp4 = tl.where(tmp0, tmp3, tmp1)
2022-11-23T01:32:31.4664432Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4664521Z ''')
2022-11-23T01:32:31.4664527Z 
2022-11-23T01:32:31.4664532Z 
2022-11-23T01:32:31.4664626Z async_compile.wait(globals())
2022-11-23T01:32:31.4664697Z del async_compile
2022-11-23T01:32:31.4664705Z 
2022-11-23T01:32:31.4664781Z def call(args):
2022-11-23T01:32:31.4664872Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4664949Z     args.clear()
2022-11-23T01:32:31.4665158Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4665253Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4665422Z     triton_fused_clone_index_put_0.run(arg1_1, arg0_1, arg2_1, buf0, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4665490Z     del arg0_1
2022-11-23T01:32:31.4665566Z     del arg1_1
2022-11-23T01:32:31.4665638Z     del arg2_1
2022-11-23T01:32:31.4665716Z     return (buf0, )
2022-11-23T01:32:31.4665721Z 
2022-11-23T01:32:31.4665726Z 
2022-11-23T01:32:31.4665812Z if __name__ == "__main__":
2022-11-23T01:32:31.4665937Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4666069Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4666279Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4666476Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4666665Z     arg2_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4666794Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4666799Z 
2022-11-23T01:32:31.4667171Z [2022-11-23 01:29:47,606] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p5/cp5kfohyrmjiqpru6ivr2eywo7l3acfizgk4oo4epfjnqnt4zsfn.py
2022-11-23T01:32:31.4667439Z [2022-11-23 01:29:47,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 522
2022-11-23T01:32:31.4667445Z 
2022-11-23T01:32:31.4667545Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4667621Z import torch
2022-11-23T01:32:31.4667701Z import random
2022-11-23T01:32:31.4667816Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4667974Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4667980Z 
2022-11-23T01:32:31.4668084Z aten = torch.ops.aten
2022-11-23T01:32:31.4668225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4668323Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4668328Z 
2022-11-23T01:32:31.4668403Z import triton
2022-11-23T01:32:31.4668497Z import triton.language as tl
2022-11-23T01:32:31.4668628Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4668764Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4668769Z 
2022-11-23T01:32:31.4668774Z 
2022-11-23T01:32:31.4668957Z triton_fused_clone_index_put_0 = async_compile.triton('''
2022-11-23T01:32:31.4669033Z import triton
2022-11-23T01:32:31.4669127Z import triton.language as tl
2022-11-23T01:32:31.4669244Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4669348Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4669487Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4669608Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4669625Z 
2022-11-23T01:32:31.4670018Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.4670092Z @triton.jit
2022-11-23T01:32:31.4670301Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4670392Z     xnumel = 8192
2022-11-23T01:32:31.4670508Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4670659Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4670746Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4670811Z     x0 = xindex
2022-11-23T01:32:31.4670909Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4671028Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4671182Z     tmp2 = tl.load(in_ptr2 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:31.4671265Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.4671362Z     tmp4 = tl.where(tmp0, tmp3, tmp1)
2022-11-23T01:32:31.4671499Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.4671588Z ''')
2022-11-23T01:32:31.4671593Z 
2022-11-23T01:32:31.4671598Z 
2022-11-23T01:32:31.4671684Z async_compile.wait(globals())
2022-11-23T01:32:31.4671761Z del async_compile
2022-11-23T01:32:31.4671767Z 
2022-11-23T01:32:31.4671844Z def call(args):
2022-11-23T01:32:31.4671930Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4672008Z     args.clear()
2022-11-23T01:32:31.4672216Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4672307Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4672468Z     triton_fused_clone_index_put_0.run(arg1_1, arg0_1, arg2_1, buf0, 8192, grid=grid(8192), stream=stream0)
2022-11-23T01:32:31.4672547Z     del arg0_1
2022-11-23T01:32:31.4672623Z     del arg1_1
2022-11-23T01:32:31.4672695Z     del arg2_1
2022-11-23T01:32:31.4672772Z     return (buf0, )
2022-11-23T01:32:31.4672777Z 
2022-11-23T01:32:31.4672782Z 
2022-11-23T01:32:31.4672864Z if __name__ == "__main__":
2022-11-23T01:32:31.4672986Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4673118Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4673320Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4673522Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4673709Z     arg2_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4673838Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4673843Z 
2022-11-23T01:32:31.4673916Z ok (0.390s)
2022-11-23T01:32:31.4674279Z   test_index_put_fallback1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4674619Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4674841Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4675103Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4675376Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4675694Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4676040Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4676367Z [2022-11-23 01:29:47,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4676746Z [2022-11-23 01:29:47,613] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:31.4676851Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4676956Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4677052Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4677151Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4677157Z 
2022-11-23T01:32:31.4677248Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4677346Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4677448Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4677557Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4677654Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4677750Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4677846Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4677933Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4678027Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4678120Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4678198Z               28 POP_TOP
2022-11-23T01:32:31.4678204Z 
2022-11-23T01:32:31.4678299Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4678382Z               32 RETURN_VALUE
2022-11-23T01:32:31.4678449Z  
2022-11-23T01:32:31.4678454Z 
2022-11-23T01:32:31.4678772Z [2022-11-23 01:29:47,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:31.4678982Z [2022-11-23 01:29:47,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4679237Z [2022-11-23 01:29:47,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4679523Z [2022-11-23 01:29:47,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4679770Z [2022-11-23 01:29:47,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4680089Z [2022-11-23 01:29:47,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:31.4680316Z [2022-11-23 01:29:47,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4680712Z [2022-11-23 01:29:47,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4681032Z [2022-11-23 01:29:47,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4681344Z [2022-11-23 01:29:47,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4681607Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4681891Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4682204Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4682517Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4682853Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4683230Z [2022-11-23 01:29:47,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4683476Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4683789Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:31.4684000Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4684254Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4684637Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:31.4684895Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4685126Z [2022-11-23 01:29:47,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4685384Z [2022-11-23 01:29:47,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4685636Z [2022-11-23 01:29:47,627] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4685829Z [2022-11-23 01:29:47,627] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4685970Z  __compiled_fn_535 <eval_with_key>.3300 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4686067Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4686161Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4686252Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4686345Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4686494Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:31.4686596Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4686602Z 
2022-11-23T01:32:31.4686932Z [2022-11-23 01:29:47,627] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4687032Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4687133Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4687226Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4687326Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4687411Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4687532Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4687633Z              12 RETURN_VALUE
2022-11-23T01:32:31.4687639Z 
2022-11-23T01:32:31.4687706Z  
2022-11-23T01:32:31.4688034Z [2022-11-23 01:29:47,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4688150Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_535)
2022-11-23T01:32:31.4688246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4688343Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4688419Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4688514Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4688608Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4688689Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4688784Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4688879Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4688962Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4689053Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4689150Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4689230Z              24 RETURN_VALUE
2022-11-23T01:32:31.4689235Z 
2022-11-23T01:32:31.4689302Z  
2022-11-23T01:32:31.4689489Z [2022-11-23 01:29:47,628] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4689565Z  - 
2022-11-23T01:32:31.4689690Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4689753Z             {
2022-11-23T01:32:31.4689899Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4690090Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4690214Z                 'obj_weakref': None
2022-11-23T01:32:31.4690439Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4690509Z             }
2022-11-23T01:32:31.4690578Z             
2022-11-23T01:32:31.4690649Z  - 
2022-11-23T01:32:31.4690781Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4690852Z             {
2022-11-23T01:32:31.4691000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4691113Z                 'code': None,
2022-11-23T01:32:31.4691327Z                 'obj_weakref': <weakref at 0x7f1fd9b9a250; to 'Tensor' at 0x7f1fd8c99ee0>
2022-11-23T01:32:31.4691579Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4691641Z             }
2022-11-23T01:32:31.4691711Z             
2022-11-23T01:32:31.4691785Z  - 
2022-11-23T01:32:31.4691913Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4691986Z             {
2022-11-23T01:32:31.4692132Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4692243Z                 'code': None,
2022-11-23T01:32:31.4692453Z                 'obj_weakref': <weakref at 0x7f1fd9b99440; to 'Tensor' at 0x7f1fd8c9a4d0>
2022-11-23T01:32:31.4692706Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4692778Z             }
2022-11-23T01:32:31.4692847Z             
2022-11-23T01:32:31.4692923Z  - 
2022-11-23T01:32:31.4693055Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4693125Z             {
2022-11-23T01:32:31.4693264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4693377Z                 'code': None,
2022-11-23T01:32:31.4693589Z                 'obj_weakref': <weakref at 0x7f1fd9a00b30; to 'Tensor' at 0x7f1fd8ccdbc0>
2022-11-23T01:32:31.4693834Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4693904Z             }
2022-11-23T01:32:31.4693971Z             
2022-11-23T01:32:31.4694048Z  - 
2022-11-23T01:32:31.4694174Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4694243Z             {
2022-11-23T01:32:31.4694415Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4694607Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:31.4694731Z                 'obj_weakref': None
2022-11-23T01:32:31.4694954Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4695022Z             }
2022-11-23T01:32:31.4695083Z             
2022-11-23T01:32:31.4695157Z  - 
2022-11-23T01:32:31.4695293Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4695365Z             {
2022-11-23T01:32:31.4695504Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4695680Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4695803Z                 'obj_weakref': None
2022-11-23T01:32:31.4696028Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4696097Z             }
2022-11-23T01:32:31.4696166Z             
2022-11-23T01:32:31.4696240Z  - 
2022-11-23T01:32:31.4696369Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4696437Z             {
2022-11-23T01:32:31.4696579Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4696793Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4696917Z                 'obj_weakref': None
2022-11-23T01:32:31.4697139Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4697207Z             }
2022-11-23T01:32:31.4697275Z             
2022-11-23T01:32:31.4697351Z  - 
2022-11-23T01:32:31.4697488Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4697550Z             {
2022-11-23T01:32:31.4697674Z                 'guard_types': None,
2022-11-23T01:32:31.4697785Z                 'code': None,
2022-11-23T01:32:31.4697907Z                 'obj_weakref': None
2022-11-23T01:32:31.4698035Z                 'guarded_class': None
2022-11-23T01:32:31.4698103Z             }
2022-11-23T01:32:31.4698167Z             
2022-11-23T01:32:31.4698432Z [2022-11-23 01:29:47,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 523
2022-11-23T01:32:31.4698683Z [2022-11-23 01:29:47,637] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4699246Z [2022-11-23 01:29:47,798] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpkllj2g5owycxdcgq2e7cchixqbkaxczqp54bvb34c4rvmb4ls6.py
2022-11-23T01:32:31.4699517Z [2022-11-23 01:29:47,799] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 523
2022-11-23T01:32:31.4699758Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4700077Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4700303Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4700563Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4700844Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4701160Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4701508Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4701832Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4702253Z [2022-11-23 01:29:47,803] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:31.4702393Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4702496Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4702591Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4702690Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4702696Z 
2022-11-23T01:32:31.4702796Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4702886Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4702983Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4703092Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4703187Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4703282Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4703379Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4703475Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4703561Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4703654Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4703731Z               28 POP_TOP
2022-11-23T01:32:31.4703736Z 
2022-11-23T01:32:31.4703832Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4703913Z               32 RETURN_VALUE
2022-11-23T01:32:31.4703977Z  
2022-11-23T01:32:31.4703983Z 
2022-11-23T01:32:31.4704306Z [2022-11-23 01:29:47,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:31.4704523Z [2022-11-23 01:29:47,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4704768Z [2022-11-23 01:29:47,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4705057Z [2022-11-23 01:29:47,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4705304Z [2022-11-23 01:29:47,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4705619Z [2022-11-23 01:29:47,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:31.4705847Z [2022-11-23 01:29:47,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4706215Z [2022-11-23 01:29:47,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4706512Z [2022-11-23 01:29:47,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4706829Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4707097Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4707388Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4707700Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4708000Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4708332Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4708734Z [2022-11-23 01:29:47,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4709003Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4709318Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:31.4709537Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4709790Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4710170Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:31.4710496Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4710735Z [2022-11-23 01:29:47,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4710987Z [2022-11-23 01:29:47,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4711241Z [2022-11-23 01:29:47,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4711439Z [2022-11-23 01:29:47,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4711581Z  __compiled_fn_536 <eval_with_key>.3306 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4711676Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4711770Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4711860Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4711960Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4712103Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:31.4712207Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4712212Z 
2022-11-23T01:32:31.4712538Z [2022-11-23 01:29:47,816] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4712639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4712736Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4712830Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4712930Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4713021Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4713109Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4713189Z              12 RETURN_VALUE
2022-11-23T01:32:31.4713195Z 
2022-11-23T01:32:31.4713259Z  
2022-11-23T01:32:31.4713578Z [2022-11-23 01:29:47,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4713700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_536)
2022-11-23T01:32:31.4713799Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4713895Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4713970Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4714065Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4714158Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4714240Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4714332Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4714429Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4714509Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4714596Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4714692Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4714773Z              24 RETURN_VALUE
2022-11-23T01:32:31.4714778Z 
2022-11-23T01:32:31.4714875Z  
2022-11-23T01:32:31.4715064Z [2022-11-23 01:29:47,817] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4715159Z  - 
2022-11-23T01:32:31.4715284Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4715345Z             {
2022-11-23T01:32:31.4715490Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4715680Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4715802Z                 'obj_weakref': None
2022-11-23T01:32:31.4716028Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4716097Z             }
2022-11-23T01:32:31.4716166Z             
2022-11-23T01:32:31.4716246Z  - 
2022-11-23T01:32:31.4716368Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4716438Z             {
2022-11-23T01:32:31.4716584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4716699Z                 'code': None,
2022-11-23T01:32:31.4716917Z                 'obj_weakref': <weakref at 0x7f1fe0335c10; to 'Tensor' at 0x7f1fead4df30>
2022-11-23T01:32:31.4717167Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4717236Z             }
2022-11-23T01:32:31.4717297Z             
2022-11-23T01:32:31.4717371Z  - 
2022-11-23T01:32:31.4717499Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4717566Z             {
2022-11-23T01:32:31.4717716Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4717827Z                 'code': None,
2022-11-23T01:32:31.4718040Z                 'obj_weakref': <weakref at 0x7f1fd9b99440; to 'Tensor' at 0x7f1fd8c9a4d0>
2022-11-23T01:32:31.4718284Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4718354Z             }
2022-11-23T01:32:31.4718425Z             
2022-11-23T01:32:31.4718501Z  - 
2022-11-23T01:32:31.4718630Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4718701Z             {
2022-11-23T01:32:31.4718847Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4718951Z                 'code': None,
2022-11-23T01:32:31.4719163Z                 'obj_weakref': <weakref at 0x7f201e322a70; to 'Tensor' at 0x7f1fd8cceac0>
2022-11-23T01:32:31.4719411Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4719481Z             }
2022-11-23T01:32:31.4719549Z             
2022-11-23T01:32:31.4719624Z  - 
2022-11-23T01:32:31.4719758Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4719819Z             {
2022-11-23T01:32:31.4719957Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4720129Z                 'code': ['___check_obj_id(ex[3], 94768292517568)'],
2022-11-23T01:32:31.4720254Z                 'obj_weakref': None
2022-11-23T01:32:31.4720483Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4720554Z             }
2022-11-23T01:32:31.4720622Z             
2022-11-23T01:32:31.4720690Z  - 
2022-11-23T01:32:31.4720826Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4720894Z             {
2022-11-23T01:32:31.4721035Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4721209Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4721335Z                 'obj_weakref': None
2022-11-23T01:32:31.4721567Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4721629Z             }
2022-11-23T01:32:31.4721697Z             
2022-11-23T01:32:31.4721774Z  - 
2022-11-23T01:32:31.4721900Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4721968Z             {
2022-11-23T01:32:31.4722108Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4722352Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4722499Z                 'obj_weakref': None
2022-11-23T01:32:31.4722725Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4722794Z             }
2022-11-23T01:32:31.4722863Z             
2022-11-23T01:32:31.4722939Z  - 
2022-11-23T01:32:31.4723079Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4723140Z             {
2022-11-23T01:32:31.4723264Z                 'guard_types': None,
2022-11-23T01:32:31.4723377Z                 'code': None,
2022-11-23T01:32:31.4723500Z                 'obj_weakref': None
2022-11-23T01:32:31.4723625Z                 'guarded_class': None
2022-11-23T01:32:31.4723694Z             }
2022-11-23T01:32:31.4723763Z             
2022-11-23T01:32:31.4724023Z [2022-11-23 01:29:47,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 524
2022-11-23T01:32:31.4724275Z [2022-11-23 01:29:47,825] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4724639Z [2022-11-23 01:29:47,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h7/ch7etdybofvxy3wugjvb3ukrxh36nknlu4xewhcrsgdi2csopdd7.py
2022-11-23T01:32:31.4724904Z [2022-11-23 01:29:47,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 524
2022-11-23T01:32:31.4725142Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4725456Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4725677Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4725931Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4726208Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4726530Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4726864Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4727187Z [2022-11-23 01:29:47,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4727565Z [2022-11-23 01:29:47,892] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:31.4727666Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4727771Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4727866Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4727967Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4727973Z 
2022-11-23T01:32:31.4728071Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4728174Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4728264Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4728371Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4728467Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4728561Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4728656Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4728749Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4728843Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4728929Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4729036Z               28 POP_TOP
2022-11-23T01:32:31.4729042Z 
2022-11-23T01:32:31.4729158Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4729240Z               32 RETURN_VALUE
2022-11-23T01:32:31.4729306Z  
2022-11-23T01:32:31.4729311Z 
2022-11-23T01:32:31.4729634Z [2022-11-23 01:29:47,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:31.4729853Z [2022-11-23 01:29:47,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4730103Z [2022-11-23 01:29:47,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4730376Z [2022-11-23 01:29:47,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4730616Z [2022-11-23 01:29:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4730929Z [2022-11-23 01:29:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:31.4731153Z [2022-11-23 01:29:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4731519Z [2022-11-23 01:29:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4731820Z [2022-11-23 01:29:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4732130Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4732390Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4732679Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4732991Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4733297Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4733623Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4733998Z [2022-11-23 01:29:47,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4734240Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4734553Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:31.4734767Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4735018Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4735396Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:31.4735643Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4735879Z [2022-11-23 01:29:47,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4736162Z [2022-11-23 01:29:47,901] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4736422Z [2022-11-23 01:29:47,904] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4736615Z [2022-11-23 01:29:47,904] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4736757Z  __compiled_fn_537 <eval_with_key>.3312 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4736851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4736947Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4737037Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4737137Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4737282Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:31.4737378Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4737383Z 
2022-11-23T01:32:31.4737712Z [2022-11-23 01:29:47,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4737813Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4737913Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4738007Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4738107Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4738198Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4738293Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4738366Z              12 RETURN_VALUE
2022-11-23T01:32:31.4738372Z 
2022-11-23T01:32:31.4738438Z  
2022-11-23T01:32:31.4738754Z [2022-11-23 01:29:47,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4739096Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_537)
2022-11-23T01:32:31.4739196Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4739296Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4739383Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4739475Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4739569Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4739651Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4739745Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4739838Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4739918Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4740014Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4740102Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4740184Z              24 RETURN_VALUE
2022-11-23T01:32:31.4740190Z 
2022-11-23T01:32:31.4740256Z  
2022-11-23T01:32:31.4740448Z [2022-11-23 01:29:47,905] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4740526Z  - 
2022-11-23T01:32:31.4740649Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4740720Z             {
2022-11-23T01:32:31.4740862Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4741053Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4741181Z                 'obj_weakref': None
2022-11-23T01:32:31.4741409Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4741479Z             }
2022-11-23T01:32:31.4741549Z             
2022-11-23T01:32:31.4741625Z  - 
2022-11-23T01:32:31.4741747Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4741817Z             {
2022-11-23T01:32:31.4741965Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4742087Z                 'code': None,
2022-11-23T01:32:31.4742336Z                 'obj_weakref': <weakref at 0x7f1ff8168f40; to 'Tensor' at 0x7f201e6f87c0>
2022-11-23T01:32:31.4742593Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4742663Z             }
2022-11-23T01:32:31.4742787Z             
2022-11-23T01:32:31.4742858Z  - 
2022-11-23T01:32:31.4743010Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4743080Z             {
2022-11-23T01:32:31.4743227Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4743338Z                 'code': None,
2022-11-23T01:32:31.4743552Z                 'obj_weakref': <weakref at 0x7f1fd9b9b380; to 'Tensor' at 0x7f1fd9b162f0>
2022-11-23T01:32:31.4743802Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4743864Z             }
2022-11-23T01:32:31.4743935Z             
2022-11-23T01:32:31.4744011Z  - 
2022-11-23T01:32:31.4744140Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4744208Z             {
2022-11-23T01:32:31.4744355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4744458Z                 'code': None,
2022-11-23T01:32:31.4744673Z                 'obj_weakref': <weakref at 0x7f1fd8c81f80; to 'Tensor' at 0x7f201e3c1b70>
2022-11-23T01:32:31.4744924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4744996Z             }
2022-11-23T01:32:31.4745066Z             
2022-11-23T01:32:31.4745142Z  - 
2022-11-23T01:32:31.4745275Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4745337Z             {
2022-11-23T01:32:31.4745477Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4745647Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:31.4745770Z                 'obj_weakref': None
2022-11-23T01:32:31.4745990Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4746061Z             }
2022-11-23T01:32:31.4746130Z             
2022-11-23T01:32:31.4746198Z  - 
2022-11-23T01:32:31.4746332Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4746401Z             {
2022-11-23T01:32:31.4746544Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4746720Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4746844Z                 'obj_weakref': None
2022-11-23T01:32:31.4747070Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4747139Z             }
2022-11-23T01:32:31.4747201Z             
2022-11-23T01:32:31.4747277Z  - 
2022-11-23T01:32:31.4747403Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4747472Z             {
2022-11-23T01:32:31.4747615Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4747830Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4747947Z                 'obj_weakref': None
2022-11-23T01:32:31.4748169Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4748239Z             }
2022-11-23T01:32:31.4748311Z             
2022-11-23T01:32:31.4748387Z  - 
2022-11-23T01:32:31.4748528Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4748597Z             {
2022-11-23T01:32:31.4748715Z                 'guard_types': None,
2022-11-23T01:32:31.4748830Z                 'code': None,
2022-11-23T01:32:31.4748952Z                 'obj_weakref': None
2022-11-23T01:32:31.4749078Z                 'guarded_class': None
2022-11-23T01:32:31.4749148Z             }
2022-11-23T01:32:31.4749216Z             
2022-11-23T01:32:31.4749481Z [2022-11-23 01:29:47,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 525
2022-11-23T01:32:31.4749726Z [2022-11-23 01:29:47,914] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4750091Z [2022-11-23 01:29:47,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q4/cq4qebfwm77gd3kvvn2o2awltxqro6cfbhpl37w247wryo2o2egx.py
2022-11-23T01:32:31.4750473Z [2022-11-23 01:29:47,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 525
2022-11-23T01:32:31.4750784Z [2022-11-23 01:29:47,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4751103Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4751326Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4751584Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4751868Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4752194Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4752543Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4752861Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4753239Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:31.4753340Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4753444Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4753540Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4753638Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4753644Z 
2022-11-23T01:32:31.4753744Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4753846Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4753952Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4754053Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4754148Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4754244Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4754338Z               20 BUILD_LIST               1
2022-11-23T01:32:31.4754431Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4754524Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4754616Z               26 CALL_METHOD              4
2022-11-23T01:32:31.4754686Z               28 POP_TOP
2022-11-23T01:32:31.4754692Z 
2022-11-23T01:32:31.4754785Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4754868Z               32 RETURN_VALUE
2022-11-23T01:32:31.4754934Z  
2022-11-23T01:32:31.4754939Z 
2022-11-23T01:32:31.4755256Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:32:31.4755471Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4755723Z [2022-11-23 01:29:47,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4756004Z [2022-11-23 01:29:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4756240Z [2022-11-23 01:29:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4756560Z [2022-11-23 01:29:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:32:31.4756786Z [2022-11-23 01:29:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4757178Z [2022-11-23 01:29:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4757497Z [2022-11-23 01:29:47,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4757813Z [2022-11-23 01:29:47,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4758077Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4758369Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4758687Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4759004Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4759346Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4759721Z [2022-11-23 01:29:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4759968Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4760284Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:32:31.4760500Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4760758Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4761143Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:31.4761396Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4761636Z [2022-11-23 01:29:47,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4761894Z [2022-11-23 01:29:47,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4762159Z [2022-11-23 01:29:47,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4762377Z [2022-11-23 01:29:47,938] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4762534Z  __compiled_fn_538 <eval_with_key>.3318 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4762630Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4762723Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4762814Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4762913Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4763061Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:31.4763156Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4763169Z 
2022-11-23T01:32:31.4763486Z [2022-11-23 01:29:47,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4763587Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4763684Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4763778Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4763910Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4764003Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4764119Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4764193Z              12 RETURN_VALUE
2022-11-23T01:32:31.4764207Z 
2022-11-23T01:32:31.4764266Z  
2022-11-23T01:32:31.4764591Z [2022-11-23 01:29:47,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4764708Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_538)
2022-11-23T01:32:31.4764805Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4764902Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4764984Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4765079Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4765166Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4765247Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4765345Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4765441Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4765522Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4765616Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.4765713Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4765787Z              24 RETURN_VALUE
2022-11-23T01:32:31.4765792Z 
2022-11-23T01:32:31.4765859Z  
2022-11-23T01:32:31.4766047Z [2022-11-23 01:29:47,939] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4766123Z  - 
2022-11-23T01:32:31.4766247Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4766316Z             {
2022-11-23T01:32:31.4766461Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4766646Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:31.4766770Z                 'obj_weakref': None
2022-11-23T01:32:31.4767001Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4767072Z             }
2022-11-23T01:32:31.4767143Z             
2022-11-23T01:32:31.4767220Z  - 
2022-11-23T01:32:31.4767348Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4767410Z             {
2022-11-23T01:32:31.4767556Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4767667Z                 'code': None,
2022-11-23T01:32:31.4767880Z                 'obj_weakref': <weakref at 0x7f1fd8c99a80; to 'Tensor' at 0x7f20232562f0>
2022-11-23T01:32:31.4768130Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4768199Z             }
2022-11-23T01:32:31.4768269Z             
2022-11-23T01:32:31.4768338Z  - 
2022-11-23T01:32:31.4768466Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4768535Z             {
2022-11-23T01:32:31.4768685Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4768798Z                 'code': None,
2022-11-23T01:32:31.4769016Z                 'obj_weakref': <weakref at 0x7f1fd9b9b380; to 'Tensor' at 0x7f1fd9b162f0>
2022-11-23T01:32:31.4769273Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4769336Z             }
2022-11-23T01:32:31.4769404Z             
2022-11-23T01:32:31.4769481Z  - 
2022-11-23T01:32:31.4769609Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4769679Z             {
2022-11-23T01:32:31.4769829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4769944Z                 'code': None,
2022-11-23T01:32:31.4770151Z                 'obj_weakref': <weakref at 0x7f1fd8c9b790; to 'Tensor' at 0x7f2023254c70>
2022-11-23T01:32:31.4770403Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4770472Z             }
2022-11-23T01:32:31.4770541Z             
2022-11-23T01:32:31.4770615Z  - 
2022-11-23T01:32:31.4770780Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:31.4770869Z             {
2022-11-23T01:32:31.4771002Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4771176Z                 'code': ['___check_obj_id(ex[3], 94768292517600)'],
2022-11-23T01:32:31.4771302Z                 'obj_weakref': None
2022-11-23T01:32:31.4771528Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4771596Z             }
2022-11-23T01:32:31.4771664Z             
2022-11-23T01:32:31.4771741Z  - 
2022-11-23T01:32:31.4771869Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4771940Z             {
2022-11-23T01:32:31.4772079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4772255Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4772380Z                 'obj_weakref': None
2022-11-23T01:32:31.4772618Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4772690Z             }
2022-11-23T01:32:31.4772752Z             
2022-11-23T01:32:31.4772828Z  - 
2022-11-23T01:32:31.4772954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4773023Z             {
2022-11-23T01:32:31.4773166Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4773392Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4773516Z                 'obj_weakref': None
2022-11-23T01:32:31.4773732Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4773802Z             }
2022-11-23T01:32:31.4773871Z             
2022-11-23T01:32:31.4773949Z  - 
2022-11-23T01:32:31.4774089Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4774158Z             {
2022-11-23T01:32:31.4774284Z                 'guard_types': None,
2022-11-23T01:32:31.4774388Z                 'code': None,
2022-11-23T01:32:31.4774513Z                 'obj_weakref': None
2022-11-23T01:32:31.4774642Z                 'guarded_class': None
2022-11-23T01:32:31.4774711Z             }
2022-11-23T01:32:31.4774780Z             
2022-11-23T01:32:31.4775049Z [2022-11-23 01:29:47,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 526
2022-11-23T01:32:31.4775304Z [2022-11-23 01:29:47,947] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4775309Z 
2022-11-23T01:32:31.4775402Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4775477Z import torch
2022-11-23T01:32:31.4775553Z import random
2022-11-23T01:32:31.4775677Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4775805Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4775810Z 
2022-11-23T01:32:31.4775894Z aten = torch.ops.aten
2022-11-23T01:32:31.4776035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4776141Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4776146Z 
2022-11-23T01:32:31.4776216Z import triton
2022-11-23T01:32:31.4776309Z import triton.language as tl
2022-11-23T01:32:31.4776439Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4776582Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4776588Z 
2022-11-23T01:32:31.4776593Z 
2022-11-23T01:32:31.4776755Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4776831Z import triton
2022-11-23T01:32:31.4776928Z import triton.language as tl
2022-11-23T01:32:31.4777037Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4777140Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4777276Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4777405Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4777410Z 
2022-11-23T01:32:31.4777817Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4777912Z @triton.jit
2022-11-23T01:32:31.4778048Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4778121Z     xnumel = 3
2022-11-23T01:32:31.4778212Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4778346Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4778431Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4778504Z     x0 = xindex
2022-11-23T01:32:31.4778602Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4778741Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4779019Z ''')
2022-11-23T01:32:31.4779025Z 
2022-11-23T01:32:31.4779030Z 
2022-11-23T01:32:31.4779125Z async_compile.wait(globals())
2022-11-23T01:32:31.4779195Z del async_compile
2022-11-23T01:32:31.4779200Z 
2022-11-23T01:32:31.4779282Z def call(args):
2022-11-23T01:32:31.4779372Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4779451Z     args.clear()
2022-11-23T01:32:31.4779648Z     buf0 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4779743Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4779886Z     triton_fused_clone0.run(arg0_1, buf0, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:31.4779952Z     del arg0_1
2022-11-23T01:32:31.4780062Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T01:32:31.4780136Z     del arg1_1
2022-11-23T01:32:31.4780208Z     del arg2_1
2022-11-23T01:32:31.4780284Z     return (buf0, )
2022-11-23T01:32:31.4780289Z 
2022-11-23T01:32:31.4780293Z 
2022-11-23T01:32:31.4780375Z if __name__ == "__main__":
2022-11-23T01:32:31.4780492Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4780623Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4780813Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4781009Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4781205Z     arg2_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4781334Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4781339Z 
2022-11-23T01:32:31.4781344Z 
2022-11-23T01:32:31.4781443Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4781516Z import torch
2022-11-23T01:32:31.4781590Z import random
2022-11-23T01:32:31.4781704Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4781829Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4781834Z 
2022-11-23T01:32:31.4781918Z aten = torch.ops.aten
2022-11-23T01:32:31.4782057Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4782154Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4782160Z 
2022-11-23T01:32:31.4782233Z import triton
2022-11-23T01:32:31.4782328Z import triton.language as tl
2022-11-23T01:32:31.4782456Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4782593Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4782598Z 
2022-11-23T01:32:31.4782613Z 
2022-11-23T01:32:31.4782763Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4782839Z import triton
2022-11-23T01:32:31.4782930Z import triton.language as tl
2022-11-23T01:32:31.4783046Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4783151Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4783290Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4783417Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4783422Z 
2022-11-23T01:32:31.4783777Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4783899Z @triton.jit
2022-11-23T01:32:31.4784037Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4784137Z     xnumel = 3
2022-11-23T01:32:31.4784236Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4784367Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4784453Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4784518Z     x0 = xindex
2022-11-23T01:32:31.4784637Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4784774Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4784865Z ''')
2022-11-23T01:32:31.4784871Z 
2022-11-23T01:32:31.4784875Z 
2022-11-23T01:32:31.4784969Z async_compile.wait(globals())
2022-11-23T01:32:31.4785053Z del async_compile
2022-11-23T01:32:31.4785058Z 
2022-11-23T01:32:31.4785133Z def call(args):
2022-11-23T01:32:31.4785219Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4785288Z     args.clear()
2022-11-23T01:32:31.4785483Z     buf0 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4785580Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4785718Z     triton_fused_clone0.run(arg0_1, buf0, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:31.4785791Z     del arg0_1
2022-11-23T01:32:31.4785903Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T01:32:31.4785976Z     del arg1_1
2022-11-23T01:32:31.4786041Z     del arg2_1
2022-11-23T01:32:31.4786119Z     return (buf0, )
2022-11-23T01:32:31.4786124Z 
2022-11-23T01:32:31.4786128Z 
2022-11-23T01:32:31.4786210Z if __name__ == "__main__":
2022-11-23T01:32:31.4786327Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4786457Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4786651Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4786839Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4787034Z     arg2_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4787158Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4787163Z 
2022-11-23T01:32:31.4787175Z 
2022-11-23T01:32:31.4787267Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4787340Z import torch
2022-11-23T01:32:31.4787416Z import random
2022-11-23T01:32:31.4787537Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4787660Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4787665Z 
2022-11-23T01:32:31.4787749Z aten = torch.ops.aten
2022-11-23T01:32:31.4787887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4787976Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4787981Z 
2022-11-23T01:32:31.4788055Z import triton
2022-11-23T01:32:31.4788152Z import triton.language as tl
2022-11-23T01:32:31.4788278Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4788421Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4788428Z 
2022-11-23T01:32:31.4788433Z 
2022-11-23T01:32:31.4788589Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4788666Z import triton
2022-11-23T01:32:31.4788759Z import triton.language as tl
2022-11-23T01:32:31.4788867Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4788969Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4789105Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4789230Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4789236Z 
2022-11-23T01:32:31.4789595Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4789670Z @triton.jit
2022-11-23T01:32:31.4789803Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4789907Z     xnumel = 3
2022-11-23T01:32:31.4790001Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4790154Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4790239Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4790387Z     x0 = xindex
2022-11-23T01:32:31.4790502Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4790655Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4790761Z ''')
2022-11-23T01:32:31.4790766Z 
2022-11-23T01:32:31.4790771Z 
2022-11-23T01:32:31.4790858Z async_compile.wait(globals())
2022-11-23T01:32:31.4790938Z del async_compile
2022-11-23T01:32:31.4790943Z 
2022-11-23T01:32:31.4791019Z def call(args):
2022-11-23T01:32:31.4791106Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4791182Z     args.clear()
2022-11-23T01:32:31.4791376Z     buf0 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4791473Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4791607Z     triton_fused_clone0.run(arg0_1, buf0, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:31.4791686Z     del arg0_1
2022-11-23T01:32:31.4791796Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T01:32:31.4791871Z     del arg1_1
2022-11-23T01:32:31.4791945Z     del arg2_1
2022-11-23T01:32:31.4792022Z     return (buf0, )
2022-11-23T01:32:31.4792027Z 
2022-11-23T01:32:31.4792032Z 
2022-11-23T01:32:31.4792113Z if __name__ == "__main__":
2022-11-23T01:32:31.4792233Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4792356Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4792550Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4792739Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4792934Z     arg2_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4793063Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4793071Z 
2022-11-23T01:32:31.4793441Z [2022-11-23 01:29:47,953] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5g/c5g3lerkqakpzfmy4rpvw3vyzyuy4pm7ccpsyozu6vhbxzs66trt.py
2022-11-23T01:32:31.4793711Z [2022-11-23 01:29:47,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 526
2022-11-23T01:32:31.4793717Z 
2022-11-23T01:32:31.4793818Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4793886Z import torch
2022-11-23T01:32:31.4793963Z import random
2022-11-23T01:32:31.4794085Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4794212Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4794217Z 
2022-11-23T01:32:31.4794302Z aten = torch.ops.aten
2022-11-23T01:32:31.4794445Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4794542Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4794548Z 
2022-11-23T01:32:31.4794624Z import triton
2022-11-23T01:32:31.4794713Z import triton.language as tl
2022-11-23T01:32:31.4794842Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4794985Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4794991Z 
2022-11-23T01:32:31.4794995Z 
2022-11-23T01:32:31.4795153Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4795236Z import triton
2022-11-23T01:32:31.4795329Z import triton.language as tl
2022-11-23T01:32:31.4795447Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4795543Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4795680Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4795812Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4795817Z 
2022-11-23T01:32:31.4796218Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4796294Z @triton.jit
2022-11-23T01:32:31.4796459Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4796532Z     xnumel = 3
2022-11-23T01:32:31.4796631Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4796757Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4796842Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4796916Z     x0 = xindex
2022-11-23T01:32:31.4797037Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4797173Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4797261Z ''')
2022-11-23T01:32:31.4797267Z 
2022-11-23T01:32:31.4797271Z 
2022-11-23T01:32:31.4797366Z async_compile.wait(globals())
2022-11-23T01:32:31.4797445Z del async_compile
2022-11-23T01:32:31.4797450Z 
2022-11-23T01:32:31.4797519Z def call(args):
2022-11-23T01:32:31.4797607Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.4797684Z     args.clear()
2022-11-23T01:32:31.4797882Z     buf0 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4797976Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4798114Z     triton_fused_clone0.run(arg0_1, buf0, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:31.4798188Z     del arg0_1
2022-11-23T01:32:31.4798291Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T01:32:31.4798367Z     del arg1_1
2022-11-23T01:32:31.4798447Z     del arg2_1
2022-11-23T01:32:31.4798524Z     return (buf0, )
2022-11-23T01:32:31.4798529Z 
2022-11-23T01:32:31.4798534Z 
2022-11-23T01:32:31.4798615Z if __name__ == "__main__":
2022-11-23T01:32:31.4798736Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4798864Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4799052Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4799241Z     arg1_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4799436Z     arg2_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4799567Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.4799573Z 
2022-11-23T01:32:31.4799645Z ok (0.347s)
2022-11-23T01:32:31.4799974Z   test_index_put_fallback2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4800294Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4800516Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4800773Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4801047Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4801366Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4801712Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4802033Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4802408Z [2022-11-23 01:29:47,959] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:31.4802519Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4802640Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4802789Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4802892Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4802918Z 
2022-11-23T01:32:31.4803020Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4803110Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4803208Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4803320Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4803417Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4803516Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4803612Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4803709Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4803796Z               24 BUILD_LIST               3
2022-11-23T01:32:31.4803892Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4803989Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:31.4804085Z               30 CALL_METHOD              4
2022-11-23T01:32:31.4804170Z               32 POP_TOP
2022-11-23T01:32:31.4804176Z 
2022-11-23T01:32:31.4804271Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4804352Z               36 RETURN_VALUE
2022-11-23T01:32:31.4804412Z  
2022-11-23T01:32:31.4804425Z 
2022-11-23T01:32:31.4804735Z [2022-11-23 01:29:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:31.4804951Z [2022-11-23 01:29:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4805199Z [2022-11-23 01:29:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4805481Z [2022-11-23 01:29:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4805725Z [2022-11-23 01:29:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4806039Z [2022-11-23 01:29:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:31.4806262Z [2022-11-23 01:29:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4806623Z [2022-11-23 01:29:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4806917Z [2022-11-23 01:29:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4807222Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4807484Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4807779Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4808109Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4808462Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4808844Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4809153Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4809511Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4816296Z [2022-11-23 01:29:47,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4816583Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4816901Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:31.4817121Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4817364Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4817747Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:31.4818002Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4818243Z [2022-11-23 01:29:47,968] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4818499Z [2022-11-23 01:29:47,969] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4818754Z [2022-11-23 01:29:47,972] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4819100Z [2022-11-23 01:29:47,973] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4819243Z  __compiled_fn_539 <eval_with_key>.3324 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4819342Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4819432Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4819526Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4819621Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.4819723Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4819883Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T01:32:31.4819988Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4819994Z 
2022-11-23T01:32:31.4820325Z [2022-11-23 01:29:47,973] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4820420Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4820518Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4820613Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4820714Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4820807Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4820906Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4820995Z              12 RETURN_VALUE
2022-11-23T01:32:31.4821000Z 
2022-11-23T01:32:31.4821067Z  
2022-11-23T01:32:31.4821378Z [2022-11-23 01:29:47,973] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4821496Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_539)
2022-11-23T01:32:31.4821594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4821691Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4821776Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4821872Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4821989Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4822067Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4822186Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4822282Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4822444Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4822569Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4822663Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.4822745Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.4822833Z              26 CALL_FUNCTION            4
2022-11-23T01:32:31.4822931Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4823015Z              30 RETURN_VALUE
2022-11-23T01:32:31.4823020Z 
2022-11-23T01:32:31.4823089Z  
2022-11-23T01:32:31.4823277Z [2022-11-23 01:29:47,974] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4823353Z  - 
2022-11-23T01:32:31.4823479Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4823542Z             {
2022-11-23T01:32:31.4823688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4823882Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:31.4824006Z                 'obj_weakref': None
2022-11-23T01:32:31.4824232Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4824306Z             }
2022-11-23T01:32:31.4824377Z             
2022-11-23T01:32:31.4824445Z  - 
2022-11-23T01:32:31.4824576Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4824644Z             {
2022-11-23T01:32:31.4824792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4824907Z                 'code': None,
2022-11-23T01:32:31.4825123Z                 'obj_weakref': <weakref at 0x7f20233782c0; to 'Tensor' at 0x7f1fd8c99f30>
2022-11-23T01:32:31.4825375Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4825446Z             }
2022-11-23T01:32:31.4825508Z             
2022-11-23T01:32:31.4825589Z  - 
2022-11-23T01:32:31.4825717Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4825787Z             {
2022-11-23T01:32:31.4825939Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4826052Z                 'code': None,
2022-11-23T01:32:31.4826256Z                 'obj_weakref': <weakref at 0x7f1fd8310950; to 'Tensor' at 0x7f2023254c70>
2022-11-23T01:32:31.4826508Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4826578Z             }
2022-11-23T01:32:31.4826648Z             
2022-11-23T01:32:31.4826724Z  - 
2022-11-23T01:32:31.4826854Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4826922Z             {
2022-11-23T01:32:31.4827061Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4827172Z                 'code': None,
2022-11-23T01:32:31.4827387Z                 'obj_weakref': <weakref at 0x7f201e3a52b0; to 'Tensor' at 0x7f1fd8c98590>
2022-11-23T01:32:31.4827637Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4827710Z             }
2022-11-23T01:32:31.4827781Z             
2022-11-23T01:32:31.4827860Z  - 
2022-11-23T01:32:31.4827990Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.4828052Z             {
2022-11-23T01:32:31.4828201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4828313Z                 'code': None,
2022-11-23T01:32:31.4828528Z                 'obj_weakref': <weakref at 0x7f1ff816aac0; to 'Tensor' at 0x7f1fd8c99df0>
2022-11-23T01:32:31.4828778Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4828848Z             }
2022-11-23T01:32:31.4828916Z             
2022-11-23T01:32:31.4828984Z  - 
2022-11-23T01:32:31.4829118Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:31.4829188Z             {
2022-11-23T01:32:31.4829328Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4829503Z                 'code': ['___check_obj_id(ex[4], 94768292517568)'],
2022-11-23T01:32:31.4829662Z                 'obj_weakref': None
2022-11-23T01:32:31.4829903Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4829966Z             }
2022-11-23T01:32:31.4830036Z             
2022-11-23T01:32:31.4830112Z  - 
2022-11-23T01:32:31.4830328Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4830419Z             {
2022-11-23T01:32:31.4830560Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4830726Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4830851Z                 'obj_weakref': None
2022-11-23T01:32:31.4831083Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4831156Z             }
2022-11-23T01:32:31.4831229Z             
2022-11-23T01:32:31.4831306Z  - 
2022-11-23T01:32:31.4831432Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4831494Z             {
2022-11-23T01:32:31.4831642Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4831862Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4831989Z                 'obj_weakref': None
2022-11-23T01:32:31.4832213Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4832282Z             }
2022-11-23T01:32:31.4832351Z             
2022-11-23T01:32:31.4832419Z  - 
2022-11-23T01:32:31.4832556Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4832626Z             {
2022-11-23T01:32:31.4832753Z                 'guard_types': None,
2022-11-23T01:32:31.4832866Z                 'code': None,
2022-11-23T01:32:31.4832989Z                 'obj_weakref': None
2022-11-23T01:32:31.4833117Z                 'guarded_class': None
2022-11-23T01:32:31.4833179Z             }
2022-11-23T01:32:31.4833246Z             
2022-11-23T01:32:31.4833513Z [2022-11-23 01:29:47,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 527
2022-11-23T01:32:31.4833766Z [2022-11-23 01:29:47,984] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4834130Z [2022-11-23 01:29:48,138] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yd/cydg3pqy56keql742jaxy3hssmmgb2nciwj4vwtsihjiywtd5vyr.py
2022-11-23T01:32:31.4834399Z [2022-11-23 01:29:48,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 527
2022-11-23T01:32:31.4834639Z [2022-11-23 01:29:48,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4834958Z [2022-11-23 01:29:48,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4835183Z [2022-11-23 01:29:48,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4835436Z [2022-11-23 01:29:48,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4835720Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4836045Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4836395Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4836720Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4837104Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:31.4837237Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4837360Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4837457Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4837550Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4837564Z 
2022-11-23T01:32:31.4837657Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4837758Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4837856Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4837964Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4838062Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4838159Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4838256Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4838345Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4838438Z               24 BUILD_LIST               3
2022-11-23T01:32:31.4838537Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4838634Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:31.4838728Z               30 CALL_METHOD              4
2022-11-23T01:32:31.4838807Z               32 POP_TOP
2022-11-23T01:32:31.4838812Z 
2022-11-23T01:32:31.4838908Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4838983Z               36 RETURN_VALUE
2022-11-23T01:32:31.4839051Z  
2022-11-23T01:32:31.4839056Z 
2022-11-23T01:32:31.4839375Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:31.4839592Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4839841Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4840129Z [2022-11-23 01:29:48,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4840375Z [2022-11-23 01:29:48,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4840687Z [2022-11-23 01:29:48,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:31.4840910Z [2022-11-23 01:29:48,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4841271Z [2022-11-23 01:29:48,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4841555Z [2022-11-23 01:29:48,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4841871Z [2022-11-23 01:29:48,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4842137Z [2022-11-23 01:29:48,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4842433Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4842763Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4843120Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4843500Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4843831Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4844185Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4844560Z [2022-11-23 01:29:48,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4844802Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4845111Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:31.4845325Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4845578Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4845961Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:31.4846215Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4846456Z [2022-11-23 01:29:48,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4846718Z [2022-11-23 01:29:48,153] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4846973Z [2022-11-23 01:29:48,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4847171Z [2022-11-23 01:29:48,156] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4847316Z  __compiled_fn_540 <eval_with_key>.3330 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4847407Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4847500Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4847592Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4847684Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.4847784Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4847943Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T01:32:31.4848047Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4848052Z 
2022-11-23T01:32:31.4848370Z [2022-11-23 01:29:48,156] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4848471Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4848570Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4848671Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4848777Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4848872Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4848967Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4849049Z              12 RETURN_VALUE
2022-11-23T01:32:31.4849055Z 
2022-11-23T01:32:31.4849113Z  
2022-11-23T01:32:31.4849431Z [2022-11-23 01:29:48,157] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4849550Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_540)
2022-11-23T01:32:31.4849648Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4849749Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4849833Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4849928Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4850015Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4850129Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4850253Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4850348Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4850430Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4850524Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4850618Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.4850691Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.4850786Z              26 CALL_FUNCTION            4
2022-11-23T01:32:31.4850883Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4850968Z              30 RETURN_VALUE
2022-11-23T01:32:31.4850974Z 
2022-11-23T01:32:31.4851039Z  
2022-11-23T01:32:31.4851228Z [2022-11-23 01:29:48,157] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4851304Z  - 
2022-11-23T01:32:31.4851420Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4851492Z             {
2022-11-23T01:32:31.4851640Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4851832Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:31.4851960Z                 'obj_weakref': None
2022-11-23T01:32:31.4852185Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4852257Z             }
2022-11-23T01:32:31.4852329Z             
2022-11-23T01:32:31.4852403Z  - 
2022-11-23T01:32:31.4852552Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4852635Z             {
2022-11-23T01:32:31.4852795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4852905Z                 'code': None,
2022-11-23T01:32:31.4853117Z                 'obj_weakref': <weakref at 0x7f2022f13150; to 'Tensor' at 0x7f1fd8c98680>
2022-11-23T01:32:31.4853370Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4853433Z             }
2022-11-23T01:32:31.4853504Z             
2022-11-23T01:32:31.4853582Z  - 
2022-11-23T01:32:31.4853712Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4853781Z             {
2022-11-23T01:32:31.4853930Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4854034Z                 'code': None,
2022-11-23T01:32:31.4854249Z                 'obj_weakref': <weakref at 0x7f1fd8310950; to 'Tensor' at 0x7f2023254c70>
2022-11-23T01:32:31.4854500Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4854571Z             }
2022-11-23T01:32:31.4854639Z             
2022-11-23T01:32:31.4854715Z  - 
2022-11-23T01:32:31.4854843Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4854913Z             {
2022-11-23T01:32:31.4855053Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4855164Z                 'code': None,
2022-11-23T01:32:31.4855378Z                 'obj_weakref': <weakref at 0x7f201e3a52b0; to 'Tensor' at 0x7f1fd8c98590>
2022-11-23T01:32:31.4855628Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4855704Z             }
2022-11-23T01:32:31.4855775Z             
2022-11-23T01:32:31.4855850Z  - 
2022-11-23T01:32:31.4855971Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.4856043Z             {
2022-11-23T01:32:31.4856189Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4856300Z                 'code': None,
2022-11-23T01:32:31.4856510Z                 'obj_weakref': <weakref at 0x7f2022f13560; to 'Tensor' at 0x7f201e321080>
2022-11-23T01:32:31.4856760Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4856830Z             }
2022-11-23T01:32:31.4856891Z             
2022-11-23T01:32:31.4856966Z  - 
2022-11-23T01:32:31.4857100Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:31.4857169Z             {
2022-11-23T01:32:31.4857344Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4857537Z                 'code': ['___check_obj_id(ex[4], 94768292517568)'],
2022-11-23T01:32:31.4857660Z                 'obj_weakref': None
2022-11-23T01:32:31.4857875Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4857945Z             }
2022-11-23T01:32:31.4858015Z             
2022-11-23T01:32:31.4858092Z  - 
2022-11-23T01:32:31.4858227Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4858295Z             {
2022-11-23T01:32:31.4858426Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4858602Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4858726Z                 'obj_weakref': None
2022-11-23T01:32:31.4859079Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4859149Z             }
2022-11-23T01:32:31.4859222Z             
2022-11-23T01:32:31.4859300Z  - 
2022-11-23T01:32:31.4859423Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4859492Z             {
2022-11-23T01:32:31.4859634Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4859854Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4859979Z                 'obj_weakref': None
2022-11-23T01:32:31.4860199Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4860268Z             }
2022-11-23T01:32:31.4860339Z             
2022-11-23T01:32:31.4860408Z  - 
2022-11-23T01:32:31.4860546Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4860617Z             {
2022-11-23T01:32:31.4860743Z                 'guard_types': None,
2022-11-23T01:32:31.4860853Z                 'code': None,
2022-11-23T01:32:31.4860975Z                 'obj_weakref': None
2022-11-23T01:32:31.4861094Z                 'guarded_class': None
2022-11-23T01:32:31.4861167Z             }
2022-11-23T01:32:31.4861239Z             
2022-11-23T01:32:31.4861506Z [2022-11-23 01:29:48,163] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 528
2022-11-23T01:32:31.4861758Z [2022-11-23 01:29:48,166] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4862121Z [2022-11-23 01:29:48,227] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g6/cg6kmo6xdz7ybgbdokqguffxpqmfan357ed3cr3o3w2bkzump42p.py
2022-11-23T01:32:31.4862392Z [2022-11-23 01:29:48,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 528
2022-11-23T01:32:31.4862633Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4862946Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4863168Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4863426Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4863707Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4864026Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4864373Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4864700Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4865153Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:31.4865282Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4865385Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4865474Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4865574Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4865579Z 
2022-11-23T01:32:31.4865682Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4865781Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4865879Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4865988Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4866087Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4866184Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4866275Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4866372Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4866467Z               24 BUILD_LIST               3
2022-11-23T01:32:31.4866564Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4866658Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:31.4866753Z               30 CALL_METHOD              4
2022-11-23T01:32:31.4866830Z               32 POP_TOP
2022-11-23T01:32:31.4866836Z 
2022-11-23T01:32:31.4866923Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4867007Z               36 RETURN_VALUE
2022-11-23T01:32:31.4867074Z  
2022-11-23T01:32:31.4867079Z 
2022-11-23T01:32:31.4867399Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:31.4867615Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4867866Z [2022-11-23 01:29:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4868150Z [2022-11-23 01:29:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4868394Z [2022-11-23 01:29:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4868714Z [2022-11-23 01:29:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:31.4868932Z [2022-11-23 01:29:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4869301Z [2022-11-23 01:29:48,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4869601Z [2022-11-23 01:29:48,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4869920Z [2022-11-23 01:29:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4870182Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4870603Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4870978Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4871335Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4871755Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4872084Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4872418Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4872796Z [2022-11-23 01:29:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4873031Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4873347Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:31.4873562Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4873820Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4874198Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:31.4874444Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4874682Z [2022-11-23 01:29:48,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4874939Z [2022-11-23 01:29:48,243] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4875194Z [2022-11-23 01:29:48,246] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4875392Z [2022-11-23 01:29:48,246] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4875527Z  __compiled_fn_541 <eval_with_key>.3336 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4875623Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4875717Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4875810Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4875903Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.4876003Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4876160Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T01:32:31.4876256Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4876262Z 
2022-11-23T01:32:31.4876586Z [2022-11-23 01:29:48,247] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4876691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4876795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4876890Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4876991Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4877083Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4877178Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4877253Z              12 RETURN_VALUE
2022-11-23T01:32:31.4877258Z 
2022-11-23T01:32:31.4877324Z  
2022-11-23T01:32:31.4877641Z [2022-11-23 01:29:48,247] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4877762Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_541)
2022-11-23T01:32:31.4877860Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4877958Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4878069Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4878159Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4878274Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4878357Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4878453Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4878545Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4878627Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4878721Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4878807Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.4878888Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.4878984Z              26 CALL_FUNCTION            4
2022-11-23T01:32:31.4879083Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4879166Z              30 RETURN_VALUE
2022-11-23T01:32:31.4879171Z 
2022-11-23T01:32:31.4879236Z  
2022-11-23T01:32:31.4879426Z [2022-11-23 01:29:48,248] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4879505Z  - 
2022-11-23T01:32:31.4879626Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4879696Z             {
2022-11-23T01:32:31.4879844Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4880040Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:31.4880166Z                 'obj_weakref': None
2022-11-23T01:32:31.4880396Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4880465Z             }
2022-11-23T01:32:31.4880527Z             
2022-11-23T01:32:31.4880603Z  - 
2022-11-23T01:32:31.4880734Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4880803Z             {
2022-11-23T01:32:31.4880954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4881066Z                 'code': None,
2022-11-23T01:32:31.4881278Z                 'obj_weakref': <weakref at 0x7f20682ad0d0; to 'Tensor' at 0x7f1ff814e700>
2022-11-23T01:32:31.4881533Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4881605Z             }
2022-11-23T01:32:31.4881675Z             
2022-11-23T01:32:31.4881751Z  - 
2022-11-23T01:32:31.4881879Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4881948Z             {
2022-11-23T01:32:31.4882090Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4882204Z                 'code': None,
2022-11-23T01:32:31.4882419Z                 'obj_weakref': <weakref at 0x7f1fd9b14770; to 'Tensor' at 0x7f2023073bf0>
2022-11-23T01:32:31.4882698Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4882773Z             }
2022-11-23T01:32:31.4882856Z             
2022-11-23T01:32:31.4882941Z  - 
2022-11-23T01:32:31.4883070Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4883132Z             {
2022-11-23T01:32:31.4883283Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4883401Z                 'code': None,
2022-11-23T01:32:31.4883618Z                 'obj_weakref': <weakref at 0x7f20726fdb70; to 'Tensor' at 0x7f1ff814dda0>
2022-11-23T01:32:31.4883871Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4883941Z             }
2022-11-23T01:32:31.4884009Z             
2022-11-23T01:32:31.4884077Z  - 
2022-11-23T01:32:31.4884205Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.4884275Z             {
2022-11-23T01:32:31.4884424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4884536Z                 'code': None,
2022-11-23T01:32:31.4884748Z                 'obj_weakref': <weakref at 0x7f2022f31d50; to 'Tensor' at 0x7f201e3a5df0>
2022-11-23T01:32:31.4885002Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4885064Z             }
2022-11-23T01:32:31.4885166Z             
2022-11-23T01:32:31.4885262Z  - 
2022-11-23T01:32:31.4885398Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:31.4885468Z             {
2022-11-23T01:32:31.4885609Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4885780Z                 'code': ['___check_obj_id(ex[4], 94768292517600)'],
2022-11-23T01:32:31.4885898Z                 'obj_weakref': None
2022-11-23T01:32:31.4886122Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4886192Z             }
2022-11-23T01:32:31.4886262Z             
2022-11-23T01:32:31.4886338Z  - 
2022-11-23T01:32:31.4886475Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4886544Z             {
2022-11-23T01:32:31.4886677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4886854Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4886980Z                 'obj_weakref': None
2022-11-23T01:32:31.4887216Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4887287Z             }
2022-11-23T01:32:31.4887359Z             
2022-11-23T01:32:31.4887434Z  - 
2022-11-23T01:32:31.4887554Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4887626Z             {
2022-11-23T01:32:31.4887769Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4887988Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4888114Z                 'obj_weakref': None
2022-11-23T01:32:31.4888337Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4888406Z             }
2022-11-23T01:32:31.4888468Z             
2022-11-23T01:32:31.4888543Z  - 
2022-11-23T01:32:31.4888683Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4888752Z             {
2022-11-23T01:32:31.4888881Z                 'guard_types': None,
2022-11-23T01:32:31.4888997Z                 'code': None,
2022-11-23T01:32:31.4889115Z                 'obj_weakref': None
2022-11-23T01:32:31.4889242Z                 'guarded_class': None
2022-11-23T01:32:31.4889312Z             }
2022-11-23T01:32:31.4889381Z             
2022-11-23T01:32:31.4889650Z [2022-11-23 01:29:48,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 529
2022-11-23T01:32:31.4889905Z [2022-11-23 01:29:48,258] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4890277Z [2022-11-23 01:29:48,264] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhbie2vvbd6nkwjlknzbg5iofwlhguglvb3rfmjb46ftx74nbtc.py
2022-11-23T01:32:31.4890550Z [2022-11-23 01:29:48,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 529
2022-11-23T01:32:31.4890787Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4891108Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4891335Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4891593Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4891874Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4892197Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4892544Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4892900Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4893303Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:31.4893405Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4893502Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:31.4893598Z                4 CALL_METHOD              0
2022-11-23T01:32:31.4893699Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.4893704Z 
2022-11-23T01:32:31.4893805Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.4893904Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:31.4894003Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:31.4894115Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:31.4894210Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4894304Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:31.4894403Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4894501Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:31.4894600Z               24 BUILD_LIST               3
2022-11-23T01:32:31.4894693Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:31.4894786Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:31.4894880Z               30 CALL_METHOD              4
2022-11-23T01:32:31.4894950Z               32 POP_TOP
2022-11-23T01:32:31.4894956Z 
2022-11-23T01:32:31.4895051Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4895134Z               36 RETURN_VALUE
2022-11-23T01:32:31.4895202Z  
2022-11-23T01:32:31.4895207Z 
2022-11-23T01:32:31.4895534Z [2022-11-23 01:29:48,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:32:31.4895757Z [2022-11-23 01:29:48,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4896007Z [2022-11-23 01:29:48,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:31.4896294Z [2022-11-23 01:29:48,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:31.4896533Z [2022-11-23 01:29:48,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.4896833Z [2022-11-23 01:29:48,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:32:31.4897057Z [2022-11-23 01:29:48,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4897418Z [2022-11-23 01:29:48,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4897715Z [2022-11-23 01:29:48,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.4898025Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.4898286Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:31.4898578Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:31.4899124Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.4899529Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:31.4899946Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4900256Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.4900580Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.4900956Z [2022-11-23 01:29:48,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.4901203Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.4901518Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:32:31.4901731Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.4901982Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4902360Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:31.4902612Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.4902851Z [2022-11-23 01:29:48,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4903112Z [2022-11-23 01:29:48,279] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4903358Z [2022-11-23 01:29:48,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4903556Z [2022-11-23 01:29:48,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4903699Z  __compiled_fn_542 <eval_with_key>.3342 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4903796Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4903891Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4903986Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.4904080Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.4904181Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:31.4904331Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T01:32:31.4904435Z output, output, output, ((clone,),), {}
2022-11-23T01:32:31.4904441Z 
2022-11-23T01:32:31.4904772Z [2022-11-23 01:29:48,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4904877Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4904975Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4905075Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4905176Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4905269Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4905357Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4905440Z              12 RETURN_VALUE
2022-11-23T01:32:31.4905445Z 
2022-11-23T01:32:31.4905512Z  
2022-11-23T01:32:31.4905829Z [2022-11-23 01:29:48,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4905947Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_542)
2022-11-23T01:32:31.4906075Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4906193Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4906269Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4906367Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4906460Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4906541Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4906639Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4906731Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4906813Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.4906899Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4906991Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.4907073Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.4907168Z              26 CALL_FUNCTION            4
2022-11-23T01:32:31.4907265Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.4907349Z              30 RETURN_VALUE
2022-11-23T01:32:31.4907357Z 
2022-11-23T01:32:31.4907423Z  
2022-11-23T01:32:31.4907611Z [2022-11-23 01:29:48,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4907680Z  - 
2022-11-23T01:32:31.4907805Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4907875Z             {
2022-11-23T01:32:31.4908020Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4908213Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 5'],
2022-11-23T01:32:31.4908344Z                 'obj_weakref': None
2022-11-23T01:32:31.4908571Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4908635Z             }
2022-11-23T01:32:31.4908704Z             
2022-11-23T01:32:31.4908780Z  - 
2022-11-23T01:32:31.4908910Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4908980Z             {
2022-11-23T01:32:31.4909127Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4909233Z                 'code': None,
2022-11-23T01:32:31.4909447Z                 'obj_weakref': <weakref at 0x7f20233782c0; to 'Tensor' at 0x7f20233b1440>
2022-11-23T01:32:31.4909697Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4909769Z             }
2022-11-23T01:32:31.4909838Z             
2022-11-23T01:32:31.4909914Z  - 
2022-11-23T01:32:31.4910044Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4910117Z             {
2022-11-23T01:32:31.4910316Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4910447Z                 'code': None,
2022-11-23T01:32:31.4910660Z                 'obj_weakref': <weakref at 0x7f1fd9b14770; to 'Tensor' at 0x7f2023073bf0>
2022-11-23T01:32:31.4910912Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4910982Z             }
2022-11-23T01:32:31.4911054Z             
2022-11-23T01:32:31.4911130Z  - 
2022-11-23T01:32:31.4911254Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.4911323Z             {
2022-11-23T01:32:31.4911470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4911582Z                 'code': None,
2022-11-23T01:32:31.4911796Z                 'obj_weakref': <weakref at 0x7f20726fdb70; to 'Tensor' at 0x7f1ff814dda0>
2022-11-23T01:32:31.4912043Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4912113Z             }
2022-11-23T01:32:31.4912174Z             
2022-11-23T01:32:31.4912250Z  - 
2022-11-23T01:32:31.4912382Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.4912451Z             {
2022-11-23T01:32:31.4912599Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4912712Z                 'code': None,
2022-11-23T01:32:31.4912959Z                 'obj_weakref': <weakref at 0x7f1fd8ccf790; to 'Tensor' at 0x7f2022f100e0>
2022-11-23T01:32:31.4913206Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4913296Z             }
2022-11-23T01:32:31.4913367Z             
2022-11-23T01:32:31.4913444Z  - 
2022-11-23T01:32:31.4913580Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:31.4913648Z             {
2022-11-23T01:32:31.4913791Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4913956Z                 'code': ['___check_obj_id(ex[4], 94768292517600)'],
2022-11-23T01:32:31.4914084Z                 'obj_weakref': None
2022-11-23T01:32:31.4914309Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.4914377Z             }
2022-11-23T01:32:31.4914447Z             
2022-11-23T01:32:31.4914523Z  - 
2022-11-23T01:32:31.4914661Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4914723Z             {
2022-11-23T01:32:31.4914865Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4915044Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4915170Z                 'obj_weakref': None
2022-11-23T01:32:31.4915402Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4915475Z             }
2022-11-23T01:32:31.4915543Z             
2022-11-23T01:32:31.4915611Z  - 
2022-11-23T01:32:31.4915739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4915811Z             {
2022-11-23T01:32:31.4915954Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4916174Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4916299Z                 'obj_weakref': None
2022-11-23T01:32:31.4916522Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4916584Z             }
2022-11-23T01:32:31.4916654Z             
2022-11-23T01:32:31.4916730Z  - 
2022-11-23T01:32:31.4916873Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4916942Z             {
2022-11-23T01:32:31.4917070Z                 'guard_types': None,
2022-11-23T01:32:31.4917175Z                 'code': None,
2022-11-23T01:32:31.4917299Z                 'obj_weakref': None
2022-11-23T01:32:31.4917428Z                 'guarded_class': None
2022-11-23T01:32:31.4917497Z             }
2022-11-23T01:32:31.4917565Z             
2022-11-23T01:32:31.4917833Z [2022-11-23 01:29:48,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 530
2022-11-23T01:32:31.4918089Z [2022-11-23 01:29:48,293] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4918095Z 
2022-11-23T01:32:31.4918197Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4918264Z import torch
2022-11-23T01:32:31.4918338Z import random
2022-11-23T01:32:31.4918464Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4918591Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4918599Z 
2022-11-23T01:32:31.4918686Z aten = torch.ops.aten
2022-11-23T01:32:31.4918828Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4918926Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4918931Z 
2022-11-23T01:32:31.4918999Z import triton
2022-11-23T01:32:31.4919096Z import triton.language as tl
2022-11-23T01:32:31.4919228Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4919373Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4919379Z 
2022-11-23T01:32:31.4919384Z 
2022-11-23T01:32:31.4919542Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4919621Z import triton
2022-11-23T01:32:31.4919715Z import triton.language as tl
2022-11-23T01:32:31.4919834Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4919931Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4920104Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4920251Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4920256Z 
2022-11-23T01:32:31.4920630Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4920707Z @triton.jit
2022-11-23T01:32:31.4920841Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4920915Z     xnumel = 6
2022-11-23T01:32:31.4921015Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4921141Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4921226Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4921298Z     x0 = xindex
2022-11-23T01:32:31.4921397Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4921540Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4921627Z ''')
2022-11-23T01:32:31.4921635Z 
2022-11-23T01:32:31.4921640Z 
2022-11-23T01:32:31.4921734Z async_compile.wait(globals())
2022-11-23T01:32:31.4921805Z del async_compile
2022-11-23T01:32:31.4921818Z 
2022-11-23T01:32:31.4921887Z def call(args):
2022-11-23T01:32:31.4921984Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:31.4922062Z     args.clear()
2022-11-23T01:32:31.4922268Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4922362Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4922502Z     triton_fused_clone0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:31.4922576Z     del arg0_1
2022-11-23T01:32:31.4922696Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T01:32:31.4922771Z     del arg1_1
2022-11-23T01:32:31.4922845Z     del arg2_1
2022-11-23T01:32:31.4922917Z     del arg3_1
2022-11-23T01:32:31.4922995Z     return (buf0, )
2022-11-23T01:32:31.4923000Z 
2022-11-23T01:32:31.4923008Z 
2022-11-23T01:32:31.4923092Z if __name__ == "__main__":
2022-11-23T01:32:31.4923214Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4923337Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4923547Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4923742Z     arg1_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4923934Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4924124Z     arg3_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4924260Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:31.4924265Z 
2022-11-23T01:32:31.4924270Z 
2022-11-23T01:32:31.4924371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4924446Z import torch
2022-11-23T01:32:31.4924515Z import random
2022-11-23T01:32:31.4924637Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4924767Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4924772Z 
2022-11-23T01:32:31.4924857Z aten = torch.ops.aten
2022-11-23T01:32:31.4924999Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4925096Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4925101Z 
2022-11-23T01:32:31.4925176Z import triton
2022-11-23T01:32:31.4925271Z import triton.language as tl
2022-11-23T01:32:31.4925392Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4925537Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4925542Z 
2022-11-23T01:32:31.4925547Z 
2022-11-23T01:32:31.4925705Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4925782Z import triton
2022-11-23T01:32:31.4925877Z import triton.language as tl
2022-11-23T01:32:31.4925993Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4926125Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4926256Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4926404Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4926410Z 
2022-11-23T01:32:31.4926783Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4926857Z @triton.jit
2022-11-23T01:32:31.4926992Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4927070Z     xnumel = 6
2022-11-23T01:32:31.4927168Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4927300Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4927378Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4927453Z     x0 = xindex
2022-11-23T01:32:31.4927572Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4927712Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4927801Z ''')
2022-11-23T01:32:31.4927806Z 
2022-11-23T01:32:31.4927811Z 
2022-11-23T01:32:31.4927905Z async_compile.wait(globals())
2022-11-23T01:32:31.4927984Z del async_compile
2022-11-23T01:32:31.4927989Z 
2022-11-23T01:32:31.4928067Z def call(args):
2022-11-23T01:32:31.4928155Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:31.4928231Z     args.clear()
2022-11-23T01:32:31.4928442Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4928535Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4928675Z     triton_fused_clone0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:31.4928749Z     del arg0_1
2022-11-23T01:32:31.4928879Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T01:32:31.4928946Z     del arg1_1
2022-11-23T01:32:31.4929019Z     del arg2_1
2022-11-23T01:32:31.4929091Z     del arg3_1
2022-11-23T01:32:31.4929171Z     return (buf0, )
2022-11-23T01:32:31.4929177Z 
2022-11-23T01:32:31.4929188Z 
2022-11-23T01:32:31.4929270Z if __name__ == "__main__":
2022-11-23T01:32:31.4929390Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4929521Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4929721Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4929918Z     arg1_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4930109Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4930299Z     arg3_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4930440Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:31.4930445Z 
2022-11-23T01:32:31.4930450Z 
2022-11-23T01:32:31.4930551Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4930627Z import torch
2022-11-23T01:32:31.4930706Z import random
2022-11-23T01:32:31.4930823Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4930952Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4930957Z 
2022-11-23T01:32:31.4931042Z aten = torch.ops.aten
2022-11-23T01:32:31.4931182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4931280Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4931285Z 
2022-11-23T01:32:31.4931360Z import triton
2022-11-23T01:32:31.4931454Z import triton.language as tl
2022-11-23T01:32:31.4931581Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4931716Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4931722Z 
2022-11-23T01:32:31.4931734Z 
2022-11-23T01:32:31.4931885Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4931963Z import triton
2022-11-23T01:32:31.4932056Z import triton.language as tl
2022-11-23T01:32:31.4932172Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4932304Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4932460Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4932588Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4932593Z 
2022-11-23T01:32:31.4932952Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4933027Z @triton.jit
2022-11-23T01:32:31.4933160Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4933238Z     xnumel = 6
2022-11-23T01:32:31.4933337Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4933467Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4933552Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4933618Z     x0 = xindex
2022-11-23T01:32:31.4933716Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.4933856Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4933947Z ''')
2022-11-23T01:32:31.4933953Z 
2022-11-23T01:32:31.4933957Z 
2022-11-23T01:32:31.4934052Z async_compile.wait(globals())
2022-11-23T01:32:31.4934130Z del async_compile
2022-11-23T01:32:31.4934135Z 
2022-11-23T01:32:31.4934213Z def call(args):
2022-11-23T01:32:31.4934308Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:31.4934377Z     args.clear()
2022-11-23T01:32:31.4934582Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4934674Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4934813Z     triton_fused_clone0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:31.4934887Z     del arg0_1
2022-11-23T01:32:31.4935016Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T01:32:31.4935090Z     del arg1_1
2022-11-23T01:32:31.4935156Z     del arg2_1
2022-11-23T01:32:31.4935227Z     del arg3_1
2022-11-23T01:32:31.4935310Z     return (buf0, )
2022-11-23T01:32:31.4935319Z 
2022-11-23T01:32:31.4935324Z 
2022-11-23T01:32:31.4935405Z if __name__ == "__main__":
2022-11-23T01:32:31.4935525Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4935655Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4935860Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4936050Z     arg1_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4936233Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4936419Z     arg3_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.4936552Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:31.4936557Z 
2022-11-23T01:32:31.4936924Z [2022-11-23 01:29:48,299] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wb/cwbulp7cao2lc2qoaibijphbowzva254tigu7zrhhh5f5o347gni.py
2022-11-23T01:32:31.4937195Z [2022-11-23 01:29:48,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 530
2022-11-23T01:32:31.4937201Z 
2022-11-23T01:32:31.4937300Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.4937375Z import torch
2022-11-23T01:32:31.4937451Z import random
2022-11-23T01:32:31.4937566Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.4937690Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.4937695Z 
2022-11-23T01:32:31.4937780Z aten = torch.ops.aten
2022-11-23T01:32:31.4937919Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.4938018Z async_compile = AsyncCompile()
2022-11-23T01:32:31.4938023Z 
2022-11-23T01:32:31.4938099Z import triton
2022-11-23T01:32:31.4938192Z import triton.language as tl
2022-11-23T01:32:31.4938320Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.4938483Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.4938506Z 
2022-11-23T01:32:31.4938511Z 
2022-11-23T01:32:31.4938671Z triton_fused_clone0 = async_compile.triton('''
2022-11-23T01:32:31.4938747Z import triton
2022-11-23T01:32:31.4938964Z import triton.language as tl
2022-11-23T01:32:31.4939081Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.4939189Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.4939324Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.4939445Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.4939459Z 
2022-11-23T01:32:31.4939824Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.4939903Z @triton.jit
2022-11-23T01:32:31.4940035Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.4940112Z     xnumel = 6
2022-11-23T01:32:31.4940212Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.4940348Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.4940432Z     xmask = xindex < xnumel
2022-11-23T01:32:31.4940496Z     x0 = xindex
2022-11-23T01:32:31.4940619Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.4940755Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.4940843Z ''')
2022-11-23T01:32:31.4940849Z 
2022-11-23T01:32:31.4940853Z 
2022-11-23T01:32:31.4940949Z async_compile.wait(globals())
2022-11-23T01:32:31.4941027Z del async_compile
2022-11-23T01:32:31.4941032Z 
2022-11-23T01:32:31.4941107Z def call(args):
2022-11-23T01:32:31.4941205Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:31.4941274Z     args.clear()
2022-11-23T01:32:31.4941477Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4941570Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.4941712Z     triton_fused_clone0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:31.4941787Z     del arg0_1
2022-11-23T01:32:31.4941914Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T01:32:31.4941987Z     del arg1_1
2022-11-23T01:32:31.4942052Z     del arg2_1
2022-11-23T01:32:31.4942126Z     del arg3_1
2022-11-23T01:32:31.4942202Z     return (buf0, )
2022-11-23T01:32:31.4942207Z 
2022-11-23T01:32:31.4942212Z 
2022-11-23T01:32:31.4942293Z if __name__ == "__main__":
2022-11-23T01:32:31.4942414Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.4942542Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.4942748Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4942942Z     arg1_1 = rand_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.4943123Z     arg2_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.4943314Z     arg3_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.4943451Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:31.4943456Z 
2022-11-23T01:32:31.4943529Z ok (0.346s)
2022-11-23T01:32:31.4943846Z   test_index_select_cuda (__main__.CudaTests) ... [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4944161Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4944383Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4944641Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4944968Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4945282Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4945659Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4945980Z [2022-11-23 01:29:48,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4946352Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:31.4946457Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4946568Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4946669Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4946766Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4946863Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4946951Z               10 CALL_METHOD              3
2022-11-23T01:32:31.4946957Z 
2022-11-23T01:32:31.4947057Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4947165Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4947262Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4947358Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4947455Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4947548Z               22 CALL_METHOD              3
2022-11-23T01:32:31.4947554Z 
2022-11-23T01:32:31.4947646Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4947754Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4947856Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4947962Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4948060Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4948153Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4948245Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4948340Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4948425Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4948517Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4948613Z               44 CALL_METHOD              3
2022-11-23T01:32:31.4948618Z 
2022-11-23T01:32:31.4948712Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:31.4948794Z               48 RETURN_VALUE
2022-11-23T01:32:31.4948860Z  
2022-11-23T01:32:31.4948865Z 
2022-11-23T01:32:31.4949183Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:31.4949407Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4949774Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4950108Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4950538Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4950927Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4951381Z [2022-11-23 01:29:48,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4951720Z [2022-11-23 01:29:48,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:31.4951976Z [2022-11-23 01:29:48,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4952380Z [2022-11-23 01:29:48,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4952738Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4953118Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4953535Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4953983Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4954293Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:31.4954572Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4954993Z [2022-11-23 01:29:48,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4955385Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4955926Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4956422Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4956943Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4957493Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4958100Z [2022-11-23 01:29:48,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4958526Z [2022-11-23 01:29:48,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4958965Z [2022-11-23 01:29:48,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4959439Z [2022-11-23 01:29:48,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4959756Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:31.4960062Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4960313Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4960694Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:31.4960941Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4961182Z [2022-11-23 01:29:48,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4961447Z [2022-11-23 01:29:48,311] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4961697Z [2022-11-23 01:29:48,314] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4961894Z [2022-11-23 01:29:48,315] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4962036Z  __compiled_fn_543 <eval_with_key>.3348 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4962133Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4962226Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4962496Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:31.4962763Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.4963022Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:31.4963294Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:31.4963450Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:31.4963455Z 
2022-11-23T01:32:31.4963792Z [2022-11-23 01:29:48,315] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4963895Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4963993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4964089Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4964189Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4964281Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4964369Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4964451Z              12 RETURN_VALUE
2022-11-23T01:32:31.4964456Z 
2022-11-23T01:32:31.4964549Z  
2022-11-23T01:32:31.4964880Z [2022-11-23 01:29:48,315] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4965048Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_543)
2022-11-23T01:32:31.4965145Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4965244Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4965327Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4965415Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4965510Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4965592Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4965687Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.4965799Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4965910Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4966011Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4966086Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.4966199Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4966295Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4966377Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4966485Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4966580Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4966662Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4966750Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.4966833Z              38 RETURN_VALUE
2022-11-23T01:32:31.4966838Z 
2022-11-23T01:32:31.4966903Z  
2022-11-23T01:32:31.4967095Z [2022-11-23 01:29:48,316] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4967172Z  - 
2022-11-23T01:32:31.4967298Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4967370Z             {
2022-11-23T01:32:31.4967512Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4967709Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.4967841Z                 'obj_weakref': None
2022-11-23T01:32:31.4968068Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.4968139Z             }
2022-11-23T01:32:31.4968210Z             
2022-11-23T01:32:31.4968287Z  - 
2022-11-23T01:32:31.4968416Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.4968480Z             {
2022-11-23T01:32:31.4968628Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4968741Z                 'code': None,
2022-11-23T01:32:31.4968959Z                 'obj_weakref': <weakref at 0x7f1fd9b9afc0; to 'Tensor' at 0x7f2022f30ae0>
2022-11-23T01:32:31.4969209Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4969280Z             }
2022-11-23T01:32:31.4969351Z             
2022-11-23T01:32:31.4969423Z  - 
2022-11-23T01:32:31.4969552Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.4969625Z             {
2022-11-23T01:32:31.4969774Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.4969886Z                 'code': None,
2022-11-23T01:32:31.4970099Z                 'obj_weakref': <weakref at 0x7f1fd8c813a0; to 'Tensor' at 0x7f1fd9a00ef0>
2022-11-23T01:32:31.4970350Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.4970413Z             }
2022-11-23T01:32:31.4970481Z             
2022-11-23T01:32:31.4970561Z  - 
2022-11-23T01:32:31.4970698Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.4970771Z             {
2022-11-23T01:32:31.4970914Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.4971092Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.4971211Z                 'obj_weakref': None
2022-11-23T01:32:31.4971472Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.4971561Z             }
2022-11-23T01:32:31.4971630Z             
2022-11-23T01:32:31.4971709Z  - 
2022-11-23T01:32:31.4971838Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.4971899Z             {
2022-11-23T01:32:31.4972044Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.4972268Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.4972394Z                 'obj_weakref': None
2022-11-23T01:32:31.4972620Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.4972689Z             }
2022-11-23T01:32:31.4972757Z             
2022-11-23T01:32:31.4972833Z  - 
2022-11-23T01:32:31.4972966Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.4973034Z             {
2022-11-23T01:32:31.4973163Z                 'guard_types': None,
2022-11-23T01:32:31.4973279Z                 'code': None,
2022-11-23T01:32:31.4973403Z                 'obj_weakref': None
2022-11-23T01:32:31.4973531Z                 'guarded_class': None
2022-11-23T01:32:31.4973593Z             }
2022-11-23T01:32:31.4973665Z             
2022-11-23T01:32:31.4973935Z [2022-11-23 01:29:48,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 531
2022-11-23T01:32:31.4974188Z [2022-11-23 01:29:48,345] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.4974437Z [2022-11-23 01:29:48,348] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.4974689Z [2022-11-23 01:29:48,351] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.4975055Z [2022-11-23 01:29:48,439] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7az5ypnj54zhgbpegdsbw5s26mrpl2mvrl22n4kme73zl5bp7g.py
2022-11-23T01:32:31.4975328Z [2022-11-23 01:29:48,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 531
2022-11-23T01:32:31.4975574Z [2022-11-23 01:29:48,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.4975886Z [2022-11-23 01:29:48,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.4976112Z [2022-11-23 01:29:48,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.4976372Z [2022-11-23 01:29:48,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.4976656Z [2022-11-23 01:29:48,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.4976987Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4977336Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4977666Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.4978045Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:31.4978151Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4978263Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4978355Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4978452Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4978548Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4978671Z               10 CALL_METHOD              3
2022-11-23T01:32:31.4978694Z 
2022-11-23T01:32:31.4978914Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4979026Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4979122Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4979210Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4979305Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4979400Z               22 CALL_METHOD              3
2022-11-23T01:32:31.4979406Z 
2022-11-23T01:32:31.4979506Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4979616Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4979715Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.4979823Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.4979918Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.4980008Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4980104Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4980205Z               38 CALL_METHOD              3
2022-11-23T01:32:31.4980299Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4980392Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:31.4980486Z               44 CALL_METHOD              3
2022-11-23T01:32:31.4980491Z 
2022-11-23T01:32:31.4980586Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:31.4980662Z               48 RETURN_VALUE
2022-11-23T01:32:31.4980729Z  
2022-11-23T01:32:31.4980733Z 
2022-11-23T01:32:31.4981060Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:31.4981286Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.4981668Z [2022-11-23 01:29:48,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4982010Z [2022-11-23 01:29:48,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4982373Z [2022-11-23 01:29:48,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4982768Z [2022-11-23 01:29:48,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4983199Z [2022-11-23 01:29:48,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4983518Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:31.4983772Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.4984180Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4984534Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4984967Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4985393Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4985874Z [2022-11-23 01:29:48,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4986185Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:31.4986459Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4986894Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4987293Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4987841Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.4988346Z [2022-11-23 01:29:48,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.4988879Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4989431Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4990017Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4990497Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.4990937Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.4991410Z [2022-11-23 01:29:48,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.4991720Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:31.4992045Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.4992326Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4992697Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:31.4992947Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.4993186Z [2022-11-23 01:29:48,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.4993444Z [2022-11-23 01:29:48,450] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.4993700Z [2022-11-23 01:29:48,454] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.4993895Z [2022-11-23 01:29:48,454] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.4994038Z  __compiled_fn_544 <eval_with_key>.3354 opcode, name, target, args, kwargs
2022-11-23T01:32:31.4994136Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.4994230Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.4994488Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:31.4994749Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.4995003Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:31.4995277Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:31.4995431Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:31.4995439Z 
2022-11-23T01:32:31.4995768Z [2022-11-23 01:29:48,454] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4995871Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.4995970Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4996065Z               4 BUILD_MAP                0
2022-11-23T01:32:31.4996160Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.4996255Z               8 DICT_MERGE               1
2022-11-23T01:32:31.4996352Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.4996436Z              12 RETURN_VALUE
2022-11-23T01:32:31.4996441Z 
2022-11-23T01:32:31.4996509Z  
2022-11-23T01:32:31.4996841Z [2022-11-23 01:29:48,454] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.4996961Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_544)
2022-11-23T01:32:31.4997055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4997155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4997243Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.4997340Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.4997436Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4997517Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.4997612Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.4997725Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.4997828Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4997924Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.4998007Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.4998116Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4998240Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.4998340Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.4998446Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.4998534Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.4998619Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.4998714Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.4998796Z              38 RETURN_VALUE
2022-11-23T01:32:31.4998801Z 
2022-11-23T01:32:31.4998867Z  
2022-11-23T01:32:31.4999056Z [2022-11-23 01:29:48,455] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.4999133Z  - 
2022-11-23T01:32:31.4999250Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.4999323Z             {
2022-11-23T01:32:31.4999468Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.4999660Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.4999784Z                 'obj_weakref': None
2022-11-23T01:32:31.5000011Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5000086Z             }
2022-11-23T01:32:31.5000149Z             
2022-11-23T01:32:31.5000225Z  - 
2022-11-23T01:32:31.5000358Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5000428Z             {
2022-11-23T01:32:31.5000575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5000689Z                 'code': None,
2022-11-23T01:32:31.5000903Z                 'obj_weakref': <weakref at 0x7f20726c0040; to 'Tensor' at 0x7f206078a7a0>
2022-11-23T01:32:31.5001145Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5001216Z             }
2022-11-23T01:32:31.5001285Z             
2022-11-23T01:32:31.5001363Z  - 
2022-11-23T01:32:31.5001490Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5001559Z             {
2022-11-23T01:32:31.5001708Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5001815Z                 'code': None,
2022-11-23T01:32:31.5002028Z                 'obj_weakref': <weakref at 0x7f1fd8c813a0; to 'Tensor' at 0x7f1fd9a00ef0>
2022-11-23T01:32:31.5002280Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5002351Z             }
2022-11-23T01:32:31.5002419Z             
2022-11-23T01:32:31.5002494Z  - 
2022-11-23T01:32:31.5002630Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5002692Z             {
2022-11-23T01:32:31.5002832Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5003007Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5003130Z                 'obj_weakref': None
2022-11-23T01:32:31.5003360Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5003430Z             }
2022-11-23T01:32:31.5003501Z             
2022-11-23T01:32:31.5003570Z  - 
2022-11-23T01:32:31.5003699Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5003769Z             {
2022-11-23T01:32:31.5003910Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5004127Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5004252Z                 'obj_weakref': None
2022-11-23T01:32:31.5004474Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5004536Z             }
2022-11-23T01:32:31.5004603Z             
2022-11-23T01:32:31.5004682Z  - 
2022-11-23T01:32:31.5004821Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5004891Z             {
2022-11-23T01:32:31.5005015Z                 'guard_types': None,
2022-11-23T01:32:31.5005127Z                 'code': None,
2022-11-23T01:32:31.5005241Z                 'obj_weakref': None
2022-11-23T01:32:31.5005394Z                 'guarded_class': None
2022-11-23T01:32:31.5005465Z             }
2022-11-23T01:32:31.5005552Z             
2022-11-23T01:32:31.5005820Z [2022-11-23 01:29:48,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 532
2022-11-23T01:32:31.5006074Z [2022-11-23 01:29:48,481] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5006325Z [2022-11-23 01:29:48,484] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5006564Z [2022-11-23 01:29:48,487] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.5006578Z 
2022-11-23T01:32:31.5006673Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5006748Z import torch
2022-11-23T01:32:31.5006824Z import random
2022-11-23T01:32:31.5006946Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5007074Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5007080Z 
2022-11-23T01:32:31.5007167Z aten = torch.ops.aten
2022-11-23T01:32:31.5007311Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5007404Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5007409Z 
2022-11-23T01:32:31.5007485Z import triton
2022-11-23T01:32:31.5007579Z import triton.language as tl
2022-11-23T01:32:31.5007708Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5007852Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5007858Z 
2022-11-23T01:32:31.5007863Z 
2022-11-23T01:32:31.5008023Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.5008098Z import triton
2022-11-23T01:32:31.5008193Z import triton.language as tl
2022-11-23T01:32:31.5008303Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5008408Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5008545Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5008676Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5008682Z 
2022-11-23T01:32:31.5009075Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5009150Z @triton.jit
2022-11-23T01:32:31.5009298Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5009374Z     xnumel = 256
2022-11-23T01:32:31.5009468Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5009600Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5009685Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5009769Z     x1 = (xindex // 64)
2022-11-23T01:32:31.5009845Z     x0 = xindex % 64
2022-11-23T01:32:31.5009917Z     x2 = xindex
2022-11-23T01:32:31.5010022Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5010163Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5010300Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5010389Z ''')
2022-11-23T01:32:31.5010395Z 
2022-11-23T01:32:31.5010399Z 
2022-11-23T01:32:31.5010575Z triton_fused_index_1_slice_11 = async_compile.triton('''
2022-11-23T01:32:31.5010652Z import triton
2022-11-23T01:32:31.5010746Z import triton.language as tl
2022-11-23T01:32:31.5010863Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5010961Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5011096Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5011224Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5011230Z 
2022-11-23T01:32:31.5011620Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5011723Z @triton.jit
2022-11-23T01:32:31.5011870Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5011965Z     xnumel = 256
2022-11-23T01:32:31.5012069Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5012195Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5012285Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5012372Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.5012448Z     x0 = xindex % 8
2022-11-23T01:32:31.5012528Z     x2 = (xindex // 32)
2022-11-23T01:32:31.5012601Z     x3 = xindex
2022-11-23T01:32:31.5012702Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5012844Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5012979Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5013070Z ''')
2022-11-23T01:32:31.5013075Z 
2022-11-23T01:32:31.5013080Z 
2022-11-23T01:32:31.5013298Z triton_fused_index_2_index_3_slice_3_slice_4_slice_22 = async_compile.triton('''
2022-11-23T01:32:31.5013378Z import triton
2022-11-23T01:32:31.5013473Z import triton.language as tl
2022-11-23T01:32:31.5013590Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5013695Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5013823Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5013952Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5013957Z 
2022-11-23T01:32:31.5014337Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5014411Z @triton.jit
2022-11-23T01:32:31.5014555Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5014630Z     xnumel = 128
2022-11-23T01:32:31.5014729Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5014865Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5014945Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5015026Z     x1 = (xindex // 4) % 4
2022-11-23T01:32:31.5015102Z     x0 = xindex % 4
2022-11-23T01:32:31.5015181Z     x2 = (xindex // 16)
2022-11-23T01:32:31.5015252Z     x4 = xindex
2022-11-23T01:32:31.5015352Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5015449Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5015595Z     tmp2 = tl.load(in_ptr1 + (tmp1 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5015730Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5015818Z ''')
2022-11-23T01:32:31.5015824Z 
2022-11-23T01:32:31.5015828Z 
2022-11-23T01:32:31.5015924Z async_compile.wait(globals())
2022-11-23T01:32:31.5016002Z del async_compile
2022-11-23T01:32:31.5016007Z 
2022-11-23T01:32:31.5016085Z def call(args):
2022-11-23T01:32:31.5016168Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5016239Z     args.clear()
2022-11-23T01:32:31.5016448Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5016542Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5016691Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5016895Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5017056Z     triton_fused_index_1_slice_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5017260Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5017438Z     triton_fused_index_2_index_3_slice_3_slice_4_slice_22.run(arg1_1, arg0_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.5017505Z     del arg0_1
2022-11-23T01:32:31.5017580Z     del arg1_1
2022-11-23T01:32:31.5017667Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5017700Z 
2022-11-23T01:32:31.5017706Z 
2022-11-23T01:32:31.5017807Z if __name__ == "__main__":
2022-11-23T01:32:31.5017927Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5018057Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5018266Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5018458Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:31.5018572Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5018586Z 
2022-11-23T01:32:31.5019064Z [2022-11-23 01:29:48,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/it/cit7drbhjrotxa5srynnfznpir7wjt3fmlmr5zrdq7yedn7hub3o.py
2022-11-23T01:32:31.5019335Z [2022-11-23 01:29:48,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 532
2022-11-23T01:32:31.5019579Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5019899Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5020123Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5020378Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5020659Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5020980Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5021323Z [2022-11-23 01:29:48,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5021648Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5022017Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:31.5022122Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5022234Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5022332Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5022427Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5022522Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5022620Z               10 CALL_METHOD              3
2022-11-23T01:32:31.5022626Z 
2022-11-23T01:32:31.5022728Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5022833Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5022930Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5023026Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5023124Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5023219Z               22 CALL_METHOD              3
2022-11-23T01:32:31.5023224Z 
2022-11-23T01:32:31.5023325Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5023434Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5023526Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5023634Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5023729Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5023823Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5023917Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5024012Z               38 CALL_METHOD              3
2022-11-23T01:32:31.5024153Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5024280Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5024367Z               44 CALL_METHOD              3
2022-11-23T01:32:31.5024372Z 
2022-11-23T01:32:31.5024467Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:31.5024549Z               48 RETURN_VALUE
2022-11-23T01:32:31.5024616Z  
2022-11-23T01:32:31.5024621Z 
2022-11-23T01:32:31.5024942Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:31.5025166Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5025540Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5025883Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5026243Z [2022-11-23 01:29:48,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5026625Z [2022-11-23 01:29:48,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5027053Z [2022-11-23 01:29:48,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5027368Z [2022-11-23 01:29:48,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:31.5027622Z [2022-11-23 01:29:48,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.5028032Z [2022-11-23 01:29:48,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5028386Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5028765Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5029180Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5029629Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5029945Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:31.5030218Z [2022-11-23 01:29:48,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5030744Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5031169Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5031740Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5032242Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5032772Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5033324Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5033905Z [2022-11-23 01:29:48,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5034316Z [2022-11-23 01:29:48,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5034749Z [2022-11-23 01:29:48,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5035220Z [2022-11-23 01:29:48,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5035532Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:31.5035830Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5036081Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5036468Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:31.5036720Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5036961Z [2022-11-23 01:29:48,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5037222Z [2022-11-23 01:29:48,588] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5037480Z [2022-11-23 01:29:48,592] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5037676Z [2022-11-23 01:29:48,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5037841Z  __compiled_fn_545 <eval_with_key>.3360 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5037970Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5038067Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5038340Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:31.5038612Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.5038872Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:31.5039153Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:31.5039306Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:31.5039312Z 
2022-11-23T01:32:31.5039646Z [2022-11-23 01:29:48,592] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5039743Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5039843Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5039940Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5040043Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5040137Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5040234Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5040316Z              12 RETURN_VALUE
2022-11-23T01:32:31.5040321Z 
2022-11-23T01:32:31.5040381Z  
2022-11-23T01:32:31.5040709Z [2022-11-23 01:29:48,592] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5040829Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_545)
2022-11-23T01:32:31.5040927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5041027Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5041115Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5041211Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5041307Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5041383Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5041478Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.5041592Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5041704Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5041801Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5041883Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5041992Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5042083Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5042166Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5042274Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5042373Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5042457Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.5042552Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.5042635Z              38 RETURN_VALUE
2022-11-23T01:32:31.5042640Z 
2022-11-23T01:32:31.5042699Z  
2022-11-23T01:32:31.5042891Z [2022-11-23 01:29:48,593] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5042968Z  - 
2022-11-23T01:32:31.5043095Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5043166Z             {
2022-11-23T01:32:31.5043315Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5043510Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.5043629Z                 'obj_weakref': None
2022-11-23T01:32:31.5043861Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5043931Z             }
2022-11-23T01:32:31.5044001Z             
2022-11-23T01:32:31.5044109Z  - 
2022-11-23T01:32:31.5044242Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5044334Z             {
2022-11-23T01:32:31.5044478Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5044591Z                 'code': None,
2022-11-23T01:32:31.5044809Z                 'obj_weakref': <weakref at 0x7f206814c720; to 'Tensor' at 0x7f1fd9a00ef0>
2022-11-23T01:32:31.5045065Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5045137Z             }
2022-11-23T01:32:31.5045211Z             
2022-11-23T01:32:31.5045287Z  - 
2022-11-23T01:32:31.5045410Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5045480Z             {
2022-11-23T01:32:31.5045631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5045747Z                 'code': None,
2022-11-23T01:32:31.5045961Z                 'obj_weakref': <weakref at 0x7f20607895d0; to 'Tensor' at 0x7f1fd9a00b30>
2022-11-23T01:32:31.5046219Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5046290Z             }
2022-11-23T01:32:31.5046362Z             
2022-11-23T01:32:31.5046431Z  - 
2022-11-23T01:32:31.5046570Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5046640Z             {
2022-11-23T01:32:31.5046785Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5046967Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5047092Z                 'obj_weakref': None
2022-11-23T01:32:31.5047326Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5047390Z             }
2022-11-23T01:32:31.5047462Z             
2022-11-23T01:32:31.5047537Z  - 
2022-11-23T01:32:31.5047666Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5047735Z             {
2022-11-23T01:32:31.5047882Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5048096Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5048226Z                 'obj_weakref': None
2022-11-23T01:32:31.5048453Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5048524Z             }
2022-11-23T01:32:31.5048593Z             
2022-11-23T01:32:31.5048669Z  - 
2022-11-23T01:32:31.5048807Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5048870Z             {
2022-11-23T01:32:31.5048996Z                 'guard_types': None,
2022-11-23T01:32:31.5049110Z                 'code': None,
2022-11-23T01:32:31.5049233Z                 'obj_weakref': None
2022-11-23T01:32:31.5049361Z                 'guarded_class': None
2022-11-23T01:32:31.5049430Z             }
2022-11-23T01:32:31.5049499Z             
2022-11-23T01:32:31.5049764Z [2022-11-23 01:29:48,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 533
2022-11-23T01:32:31.5050017Z [2022-11-23 01:29:48,618] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5050269Z [2022-11-23 01:29:48,620] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5050522Z [2022-11-23 01:29:48,623] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.5050528Z 
2022-11-23T01:32:31.5050631Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5050707Z import torch
2022-11-23T01:32:31.5050783Z import random
2022-11-23T01:32:31.5050908Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5051030Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5051035Z 
2022-11-23T01:32:31.5051123Z aten = torch.ops.aten
2022-11-23T01:32:31.5051264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5051365Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5051370Z 
2022-11-23T01:32:31.5051474Z import triton
2022-11-23T01:32:31.5051590Z import triton.language as tl
2022-11-23T01:32:31.5051720Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5051865Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5051870Z 
2022-11-23T01:32:31.5051875Z 
2022-11-23T01:32:31.5052029Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.5052106Z import triton
2022-11-23T01:32:31.5052201Z import triton.language as tl
2022-11-23T01:32:31.5052320Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5052424Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5052564Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5052695Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5052701Z 
2022-11-23T01:32:31.5053103Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5053174Z @triton.jit
2022-11-23T01:32:31.5053324Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5053400Z     xnumel = 256
2022-11-23T01:32:31.5053502Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5053635Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5053722Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5053804Z     x1 = (xindex // 64)
2022-11-23T01:32:31.5053874Z     x0 = xindex % 64
2022-11-23T01:32:31.5053949Z     x2 = xindex
2022-11-23T01:32:31.5054051Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5054211Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5054349Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5054436Z ''')
2022-11-23T01:32:31.5054441Z 
2022-11-23T01:32:31.5054449Z 
2022-11-23T01:32:31.5054627Z triton_fused_index_1_slice_11 = async_compile.triton('''
2022-11-23T01:32:31.5054707Z import triton
2022-11-23T01:32:31.5054795Z import triton.language as tl
2022-11-23T01:32:31.5054915Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5055022Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5055162Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5055291Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5055297Z 
2022-11-23T01:32:31.5055686Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5055762Z @triton.jit
2022-11-23T01:32:31.5055908Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5055978Z     xnumel = 256
2022-11-23T01:32:31.5056080Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5056215Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5056303Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5056386Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.5056462Z     x0 = xindex % 8
2022-11-23T01:32:31.5056544Z     x2 = (xindex // 32)
2022-11-23T01:32:31.5056609Z     x3 = xindex
2022-11-23T01:32:31.5056713Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5056885Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5057025Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5057113Z ''')
2022-11-23T01:32:31.5057118Z 
2022-11-23T01:32:31.5057123Z 
2022-11-23T01:32:31.5057342Z triton_fused_slice_4_slice_3_slice_2_index_2_index_32 = async_compile.triton('''
2022-11-23T01:32:31.5057418Z import triton
2022-11-23T01:32:31.5057506Z import triton.language as tl
2022-11-23T01:32:31.5057651Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5057777Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5057914Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5058043Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5058048Z 
2022-11-23T01:32:31.5058437Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5058511Z @triton.jit
2022-11-23T01:32:31.5058657Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5058726Z     xnumel = 128
2022-11-23T01:32:31.5058942Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5059074Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5059160Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5059246Z     x1 = (xindex // 4) % 4
2022-11-23T01:32:31.5059325Z     x0 = xindex % 4
2022-11-23T01:32:31.5059409Z     x2 = (xindex // 16)
2022-11-23T01:32:31.5059474Z     x4 = xindex
2022-11-23T01:32:31.5059575Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5059674Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5059843Z     tmp2 = tl.load(in_ptr1 + (tmp1 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5059984Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5060072Z ''')
2022-11-23T01:32:31.5060078Z 
2022-11-23T01:32:31.5060083Z 
2022-11-23T01:32:31.5060179Z async_compile.wait(globals())
2022-11-23T01:32:31.5060259Z del async_compile
2022-11-23T01:32:31.5060264Z 
2022-11-23T01:32:31.5060334Z def call(args):
2022-11-23T01:32:31.5060415Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5060492Z     args.clear()
2022-11-23T01:32:31.5060704Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5060799Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5060953Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5061159Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5061318Z     triton_fused_index_1_slice_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5061519Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5061702Z     triton_fused_slice_4_slice_3_slice_2_index_2_index_32.run(arg1_1, arg0_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.5061778Z     del arg0_1
2022-11-23T01:32:31.5061851Z     del arg1_1
2022-11-23T01:32:31.5061942Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5061947Z 
2022-11-23T01:32:31.5061952Z 
2022-11-23T01:32:31.5062034Z if __name__ == "__main__":
2022-11-23T01:32:31.5062157Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5062281Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5062492Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5062686Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:31.5062811Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5062817Z 
2022-11-23T01:32:31.5063188Z [2022-11-23 01:29:48,699] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fo/cfouzl34zcu53afuagd3uuj6vw4zjpe5ckorwix3ndn3ygyqa2el.py
2022-11-23T01:32:31.5063460Z [2022-11-23 01:29:48,699] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 533
2022-11-23T01:32:31.5063709Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5064074Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5064323Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5064583Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5064860Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5065186Z [2022-11-23 01:29:48,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5065533Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5065859Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5066243Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:31.5066352Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5066468Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5066570Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5066667Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5066756Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5066854Z               10 CALL_METHOD              3
2022-11-23T01:32:31.5066859Z 
2022-11-23T01:32:31.5066961Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5067070Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5067166Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5067265Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5067360Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5067460Z               22 CALL_METHOD              3
2022-11-23T01:32:31.5067465Z 
2022-11-23T01:32:31.5067559Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5067669Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5067769Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5067877Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:31.5067972Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5068066Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5068161Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5068248Z               38 CALL_METHOD              3
2022-11-23T01:32:31.5068343Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5068437Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5068532Z               44 CALL_METHOD              3
2022-11-23T01:32:31.5068540Z 
2022-11-23T01:32:31.5068636Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:32:31.5068719Z               48 RETURN_VALUE
2022-11-23T01:32:31.5068787Z  
2022-11-23T01:32:31.5068792Z 
2022-11-23T01:32:31.5069115Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:32:31.5069334Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5069715Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5070056Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5070556Z [2022-11-23 01:29:48,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5071019Z [2022-11-23 01:29:48,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5071440Z [2022-11-23 01:29:48,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5071750Z [2022-11-23 01:29:48,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:32:31.5072003Z [2022-11-23 01:29:48,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.5072413Z [2022-11-23 01:29:48,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5072767Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5073144Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5073558Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5074006Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5074317Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:32:31.5074589Z [2022-11-23 01:29:48,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5075021Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5075419Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5075973Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5076478Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5077006Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5077583Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5078182Z [2022-11-23 01:29:48,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5078588Z [2022-11-23 01:29:48,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5079027Z [2022-11-23 01:29:48,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5079499Z [2022-11-23 01:29:48,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5079809Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:32:31.5080106Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5080353Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5080727Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:31.5080975Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5081210Z [2022-11-23 01:29:48,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5081458Z [2022-11-23 01:29:48,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5081711Z [2022-11-23 01:29:48,713] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5081904Z [2022-11-23 01:29:48,714] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5082050Z  __compiled_fn_546 <eval_with_key>.3366 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5082146Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5082238Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5082506Z call_function, index_select, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:31.5082775Z call_function, index_select_1, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.5083027Z call_function, index_select_2, <built-in method index_select of type object at 0x7f209c394c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:31.5083306Z call_function, index_select_3, <built-in method index_select of type object at 0x7f209c394c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:31.5083460Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:31.5083465Z 
2022-11-23T01:32:31.5083800Z [2022-11-23 01:29:48,714] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5083902Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5084035Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5084160Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5084262Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5084356Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5084444Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5084528Z              12 RETURN_VALUE
2022-11-23T01:32:31.5084534Z 
2022-11-23T01:32:31.5084600Z  
2022-11-23T01:32:31.5084926Z [2022-11-23 01:29:48,714] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5085044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_546)
2022-11-23T01:32:31.5085146Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5085244Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5085328Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5085417Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5085515Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5085602Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5085697Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.5085811Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5085920Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5086019Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5086095Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5086206Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5086301Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5086383Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5086490Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5086587Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5086669Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.5086759Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.5086842Z              38 RETURN_VALUE
2022-11-23T01:32:31.5086850Z 
2022-11-23T01:32:31.5086920Z  
2022-11-23T01:32:31.5087111Z [2022-11-23 01:29:48,715] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5087189Z  - 
2022-11-23T01:32:31.5087317Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5087387Z             {
2022-11-23T01:32:31.5087527Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5087720Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.5087845Z                 'obj_weakref': None
2022-11-23T01:32:31.5088071Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5088142Z             }
2022-11-23T01:32:31.5088212Z             
2022-11-23T01:32:31.5088289Z  - 
2022-11-23T01:32:31.5088412Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5088481Z             {
2022-11-23T01:32:31.5088632Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5088747Z                 'code': None,
2022-11-23T01:32:31.5088964Z                 'obj_weakref': <weakref at 0x7f2023143f60; to 'Tensor' at 0x7f201e385b70>
2022-11-23T01:32:31.5089214Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5089286Z             }
2022-11-23T01:32:31.5089348Z             
2022-11-23T01:32:31.5089427Z  - 
2022-11-23T01:32:31.5089556Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5089626Z             {
2022-11-23T01:32:31.5089776Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5089894Z                 'code': None,
2022-11-23T01:32:31.5090110Z                 'obj_weakref': <weakref at 0x7f20607895d0; to 'Tensor' at 0x7f1fd9a00b30>
2022-11-23T01:32:31.5090357Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5090427Z             }
2022-11-23T01:32:31.5090525Z             
2022-11-23T01:32:31.5090624Z  - 
2022-11-23T01:32:31.5090762Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5090833Z             {
2022-11-23T01:32:31.5090977Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5091147Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5091272Z                 'obj_weakref': None
2022-11-23T01:32:31.5091508Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5091579Z             }
2022-11-23T01:32:31.5091649Z             
2022-11-23T01:32:31.5091725Z  - 
2022-11-23T01:32:31.5091853Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5091915Z             {
2022-11-23T01:32:31.5092062Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5092284Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5092416Z                 'obj_weakref': None
2022-11-23T01:32:31.5092643Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5092716Z             }
2022-11-23T01:32:31.5092788Z             
2022-11-23T01:32:31.5092857Z  - 
2022-11-23T01:32:31.5092996Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5093067Z             {
2022-11-23T01:32:31.5093195Z                 'guard_types': None,
2022-11-23T01:32:31.5093309Z                 'code': None,
2022-11-23T01:32:31.5093434Z                 'obj_weakref': None
2022-11-23T01:32:31.5093561Z                 'guarded_class': None
2022-11-23T01:32:31.5093624Z             }
2022-11-23T01:32:31.5093693Z             
2022-11-23T01:32:31.5093964Z [2022-11-23 01:29:48,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 534
2022-11-23T01:32:31.5094223Z [2022-11-23 01:29:48,740] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5094474Z [2022-11-23 01:29:48,743] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5094727Z [2022-11-23 01:29:48,748] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.5094733Z 
2022-11-23T01:32:31.5094835Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5094912Z import torch
2022-11-23T01:32:31.5094981Z import random
2022-11-23T01:32:31.5095104Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5095235Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5095240Z 
2022-11-23T01:32:31.5095324Z aten = torch.ops.aten
2022-11-23T01:32:31.5095468Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5095568Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5095573Z 
2022-11-23T01:32:31.5095649Z import triton
2022-11-23T01:32:31.5095737Z import triton.language as tl
2022-11-23T01:32:31.5095867Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5096016Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5096023Z 
2022-11-23T01:32:31.5096028Z 
2022-11-23T01:32:31.5096187Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.5096266Z import triton
2022-11-23T01:32:31.5096361Z import triton.language as tl
2022-11-23T01:32:31.5096478Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5096582Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5096713Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5096846Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5096852Z 
2022-11-23T01:32:31.5097240Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5097315Z @triton.jit
2022-11-23T01:32:31.5097491Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5097588Z     xnumel = 256
2022-11-23T01:32:31.5097693Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5097826Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5097905Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5097988Z     x1 = (xindex // 64)
2022-11-23T01:32:31.5098067Z     x0 = xindex % 64
2022-11-23T01:32:31.5098141Z     x2 = xindex
2022-11-23T01:32:31.5098242Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5098392Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5098529Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5098611Z ''')
2022-11-23T01:32:31.5098616Z 
2022-11-23T01:32:31.5098621Z 
2022-11-23T01:32:31.5099014Z triton_fused_slice_1_index_11 = async_compile.triton('''
2022-11-23T01:32:31.5099094Z import triton
2022-11-23T01:32:31.5099192Z import triton.language as tl
2022-11-23T01:32:31.5099311Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5099420Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5099557Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5099680Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5099692Z 
2022-11-23T01:32:31.5100074Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5100150Z @triton.jit
2022-11-23T01:32:31.5100294Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5100371Z     xnumel = 256
2022-11-23T01:32:31.5100470Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5100604Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5100689Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5100769Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.5100846Z     x0 = xindex % 8
2022-11-23T01:32:31.5100927Z     x2 = (xindex // 32)
2022-11-23T01:32:31.5101000Z     x3 = xindex
2022-11-23T01:32:31.5101103Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5101255Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5101396Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5101476Z ''')
2022-11-23T01:32:31.5101489Z 
2022-11-23T01:32:31.5101494Z 
2022-11-23T01:32:31.5101700Z triton_fused_slice_2_index_3_index_2_slice_4_slice_32 = async_compile.triton('''
2022-11-23T01:32:31.5101778Z import triton
2022-11-23T01:32:31.5101873Z import triton.language as tl
2022-11-23T01:32:31.5101990Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5102095Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5102231Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5102363Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5102370Z 
2022-11-23T01:32:31.5102756Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5102823Z @triton.jit
2022-11-23T01:32:31.5102967Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5103045Z     xnumel = 128
2022-11-23T01:32:31.5103145Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5103281Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5103367Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5103450Z     x1 = (xindex // 4) % 4
2022-11-23T01:32:31.5103519Z     x0 = xindex % 4
2022-11-23T01:32:31.5103598Z     x2 = (xindex // 16)
2022-11-23T01:32:31.5103671Z     x4 = xindex
2022-11-23T01:32:31.5103827Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5103929Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5104107Z     tmp2 = tl.load(in_ptr1 + (tmp1 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5104245Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5104327Z ''')
2022-11-23T01:32:31.5104332Z 
2022-11-23T01:32:31.5104346Z 
2022-11-23T01:32:31.5104435Z async_compile.wait(globals())
2022-11-23T01:32:31.5104514Z del async_compile
2022-11-23T01:32:31.5104519Z 
2022-11-23T01:32:31.5104596Z def call(args):
2022-11-23T01:32:31.5104677Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5104758Z     args.clear()
2022-11-23T01:32:31.5104970Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5105063Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5105207Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5105414Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5105575Z     triton_fused_slice_1_index_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5105784Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5105963Z     triton_fused_slice_2_index_3_index_2_slice_4_slice_32.run(arg1_1, arg0_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.5106040Z     del arg0_1
2022-11-23T01:32:31.5106115Z     del arg1_1
2022-11-23T01:32:31.5106197Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5106210Z 
2022-11-23T01:32:31.5106214Z 
2022-11-23T01:32:31.5106290Z if __name__ == "__main__":
2022-11-23T01:32:31.5106410Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5106542Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5106751Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5106945Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5107070Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5107075Z 
2022-11-23T01:32:31.5107447Z [2022-11-23 01:29:48,840] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/76/c76s4lngpoxjoqpv7vezljinto7grblowzrbg56u7ujnx3dicp73.py
2022-11-23T01:32:31.5107720Z [2022-11-23 01:29:48,841] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 534
2022-11-23T01:32:31.5107725Z 
2022-11-23T01:32:31.5107827Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5107896Z import torch
2022-11-23T01:32:31.5107973Z import random
2022-11-23T01:32:31.5108097Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5108223Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5108228Z 
2022-11-23T01:32:31.5108312Z aten = torch.ops.aten
2022-11-23T01:32:31.5108462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5108566Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5108574Z 
2022-11-23T01:32:31.5108642Z import triton
2022-11-23T01:32:31.5108737Z import triton.language as tl
2022-11-23T01:32:31.5108867Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5109011Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5109017Z 
2022-11-23T01:32:31.5109021Z 
2022-11-23T01:32:31.5109181Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:31.5109259Z import triton
2022-11-23T01:32:31.5109353Z import triton.language as tl
2022-11-23T01:32:31.5109463Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5109570Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5109706Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5109834Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5109840Z 
2022-11-23T01:32:31.5110354Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5110463Z @triton.jit
2022-11-23T01:32:31.5110609Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5110685Z     xnumel = 256
2022-11-23T01:32:31.5110777Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5110912Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5110997Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5111079Z     x1 = (xindex // 64)
2022-11-23T01:32:31.5111156Z     x0 = xindex % 64
2022-11-23T01:32:31.5111228Z     x2 = xindex
2022-11-23T01:32:31.5111329Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5111482Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5111622Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5111713Z ''')
2022-11-23T01:32:31.5111718Z 
2022-11-23T01:32:31.5111723Z 
2022-11-23T01:32:31.5111900Z triton_fused_slice_1_index_11 = async_compile.triton('''
2022-11-23T01:32:31.5111980Z import triton
2022-11-23T01:32:31.5112075Z import triton.language as tl
2022-11-23T01:32:31.5112192Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5112299Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5112426Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5112554Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5112559Z 
2022-11-23T01:32:31.5112947Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5113021Z @triton.jit
2022-11-23T01:32:31.5113172Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5113252Z     xnumel = 256
2022-11-23T01:32:31.5113352Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5113486Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5113565Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5113649Z     x1 = (xindex // 8) % 4
2022-11-23T01:32:31.5113724Z     x0 = xindex % 8
2022-11-23T01:32:31.5113804Z     x2 = (xindex // 32)
2022-11-23T01:32:31.5113876Z     x3 = xindex
2022-11-23T01:32:31.5113977Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5114146Z     tmp1 = tl.load(in_ptr1 + (x0 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5114275Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5114363Z ''')
2022-11-23T01:32:31.5114368Z 
2022-11-23T01:32:31.5114373Z 
2022-11-23T01:32:31.5114589Z triton_fused_index_2_slice_3_slice_4_index_3_slice_22 = async_compile.triton('''
2022-11-23T01:32:31.5114668Z import triton
2022-11-23T01:32:31.5114766Z import triton.language as tl
2022-11-23T01:32:31.5114883Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5114988Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5115123Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5115245Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5115250Z 
2022-11-23T01:32:31.5115632Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5115709Z @triton.jit
2022-11-23T01:32:31.5115855Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5115933Z     xnumel = 128
2022-11-23T01:32:31.5116032Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5116193Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5116281Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5116377Z     x1 = (xindex // 4) % 4
2022-11-23T01:32:31.5116453Z     x0 = xindex % 4
2022-11-23T01:32:31.5116533Z     x2 = (xindex // 16)
2022-11-23T01:32:31.5116605Z     x4 = xindex
2022-11-23T01:32:31.5116705Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:31.5116803Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5116974Z     tmp2 = tl.load(in_ptr1 + (tmp1 + (8*tmp0) + (64*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5117103Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5117191Z ''')
2022-11-23T01:32:31.5117196Z 
2022-11-23T01:32:31.5117201Z 
2022-11-23T01:32:31.5117300Z async_compile.wait(globals())
2022-11-23T01:32:31.5117379Z del async_compile
2022-11-23T01:32:31.5117384Z 
2022-11-23T01:32:31.5117461Z def call(args):
2022-11-23T01:32:31.5117542Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5117621Z     args.clear()
2022-11-23T01:32:31.5117822Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5117920Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5118070Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5118274Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5118436Z     triton_fused_slice_1_index_11.run(arg1_1, arg0_1, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5118641Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5118818Z     triton_fused_index_2_slice_3_slice_4_index_3_slice_22.run(arg1_1, arg0_1, buf2, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:31.5118893Z     del arg0_1
2022-11-23T01:32:31.5118960Z     del arg1_1
2022-11-23T01:32:31.5119050Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5119056Z 
2022-11-23T01:32:31.5119060Z 
2022-11-23T01:32:31.5119145Z if __name__ == "__main__":
2022-11-23T01:32:31.5119269Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5119401Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5119611Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5119806Z     arg1_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5119926Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5119932Z 
2022-11-23T01:32:31.5119997Z ok (0.542s)
2022-11-23T01:32:31.5120329Z   test_indirect_load_broadcast_cuda (__main__.CudaTests) ... [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5120646Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5120874Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5121135Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5121416Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5121738Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5122085Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5122411Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5122827Z [2022-11-23 01:29:48,847] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316> 
2022-11-23T01:32:31.5122954Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5123049Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.5123151Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T01:32:31.5123250Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5123353Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T01:32:31.5123450Z               10 CALL_METHOD              3
2022-11-23T01:32:31.5123551Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T01:32:31.5123633Z               14 BINARY_ADD
2022-11-23T01:32:31.5123709Z               16 RETURN_VALUE
2022-11-23T01:32:31.5123778Z  
2022-11-23T01:32:31.5123783Z 
2022-11-23T01:32:31.5124107Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317
2022-11-23T01:32:31.5124336Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5124717Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5125050Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5125395Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5125795Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5126222Z [2022-11-23 01:29:48,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5126480Z [2022-11-23 01:29:48,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T01:32:31.5126758Z [2022-11-23 01:29:48,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5126998Z [2022-11-23 01:29:48,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5127382Z [2022-11-23 01:29:48,850] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316>
2022-11-23T01:32:31.5127630Z [2022-11-23 01:29:48,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5127868Z [2022-11-23 01:29:48,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5128130Z [2022-11-23 01:29:48,851] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5128388Z [2022-11-23 01:29:48,854] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5128584Z [2022-11-23 01:29:48,854] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5128730Z  __compiled_fn_547 <eval_with_key>.3372 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5128827Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5128914Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5129007Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.5129260Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (ex_1_, 0, ex_2_), {}
2022-11-23T01:32:31.5129448Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T01:32:31.5129579Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.5129612Z 
2022-11-23T01:32:31.5129955Z [2022-11-23 01:29:48,854] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5130059Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5130159Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5130249Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5130349Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5130442Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5130539Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5130623Z              12 RETURN_VALUE
2022-11-23T01:32:31.5130628Z 
2022-11-23T01:32:31.5130695Z  
2022-11-23T01:32:31.5131031Z [2022-11-23 01:29:48,854] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5131143Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_547)
2022-11-23T01:32:31.5131246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5131347Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5131431Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5131528Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5131625Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5131708Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5131795Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5131890Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5131971Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.5132066Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.5132163Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5132246Z              24 RETURN_VALUE
2022-11-23T01:32:31.5132251Z 
2022-11-23T01:32:31.5132319Z  
2022-11-23T01:32:31.5132514Z [2022-11-23 01:29:48,855] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5132587Z  - 
2022-11-23T01:32:31.5132715Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5132787Z             {
2022-11-23T01:32:31.5132937Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5133129Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.5133255Z                 'obj_weakref': None
2022-11-23T01:32:31.5133484Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5133548Z             }
2022-11-23T01:32:31.5133618Z             
2022-11-23T01:32:31.5133695Z  - 
2022-11-23T01:32:31.5133824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5133894Z             {
2022-11-23T01:32:31.5134044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5134149Z                 'code': None,
2022-11-23T01:32:31.5134360Z                 'obj_weakref': <weakref at 0x7f2060797100; to 'Tensor' at 0x7f2023142700>
2022-11-23T01:32:31.5134615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5134689Z             }
2022-11-23T01:32:31.5134759Z             
2022-11-23T01:32:31.5134836Z  - 
2022-11-23T01:32:31.5134964Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5135033Z             {
2022-11-23T01:32:31.5135174Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5135286Z                 'code': None,
2022-11-23T01:32:31.5135498Z                 'obj_weakref': <weakref at 0x7f201e385d50; to 'Tensor' at 0x7f2023141620>
2022-11-23T01:32:31.5135748Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5135818Z             }
2022-11-23T01:32:31.5135887Z             
2022-11-23T01:32:31.5135963Z  - 
2022-11-23T01:32:31.5136084Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.5136184Z             {
2022-11-23T01:32:31.5136352Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5136466Z                 'code': None,
2022-11-23T01:32:31.5136674Z                 'obj_weakref': <weakref at 0x7f2022f7a480; to 'Tensor' at 0x7f2023142b60>
2022-11-23T01:32:31.5136924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5136994Z             }
2022-11-23T01:32:31.5137057Z             
2022-11-23T01:32:31.5137133Z  - 
2022-11-23T01:32:31.5137269Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5137338Z             {
2022-11-23T01:32:31.5137478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5137654Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5137780Z                 'obj_weakref': None
2022-11-23T01:32:31.5138003Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5138074Z             }
2022-11-23T01:32:31.5138147Z             
2022-11-23T01:32:31.5138224Z  - 
2022-11-23T01:32:31.5138351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5138421Z             {
2022-11-23T01:32:31.5138554Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5138773Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5139079Z                 'obj_weakref': None
2022-11-23T01:32:31.5139305Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5139374Z             }
2022-11-23T01:32:31.5139442Z             
2022-11-23T01:32:31.5139520Z  - 
2022-11-23T01:32:31.5139660Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5139723Z             {
2022-11-23T01:32:31.5139849Z                 'guard_types': None,
2022-11-23T01:32:31.5139961Z                 'code': None,
2022-11-23T01:32:31.5140086Z                 'obj_weakref': None
2022-11-23T01:32:31.5140214Z                 'guarded_class': None
2022-11-23T01:32:31.5140284Z             }
2022-11-23T01:32:31.5140346Z             
2022-11-23T01:32:31.5140610Z [2022-11-23 01:29:48,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 535
2022-11-23T01:32:31.5140862Z [2022-11-23 01:29:48,869] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5141226Z [2022-11-23 01:29:48,952] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gr/cgrxwo4vpm5k5p2aqc6pozyg2ex2yr6apzz3bc4mh3bwhpwiwhid.py
2022-11-23T01:32:31.5141494Z [2022-11-23 01:29:48,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 535
2022-11-23T01:32:31.5141735Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5142055Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5142279Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5142542Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5142860Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5143173Z [2022-11-23 01:29:48,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5143519Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5143885Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5144259Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316> 
2022-11-23T01:32:31.5144393Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5144497Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:31.5144601Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T01:32:31.5144699Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5144802Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T01:32:31.5144891Z               10 CALL_METHOD              3
2022-11-23T01:32:31.5144993Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T01:32:31.5145072Z               14 BINARY_ADD
2022-11-23T01:32:31.5145154Z               16 RETURN_VALUE
2022-11-23T01:32:31.5145222Z  
2022-11-23T01:32:31.5145228Z 
2022-11-23T01:32:31.5145543Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317
2022-11-23T01:32:31.5145773Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5146151Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5146480Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5146827Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5147219Z [2022-11-23 01:29:48,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5147632Z [2022-11-23 01:29:48,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.5147881Z [2022-11-23 01:29:48,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T01:32:31.5148159Z [2022-11-23 01:29:48,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5148403Z [2022-11-23 01:29:48,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5148777Z [2022-11-23 01:29:48,959] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316>
2022-11-23T01:32:31.5149026Z [2022-11-23 01:29:48,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5149263Z [2022-11-23 01:29:48,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5149519Z [2022-11-23 01:29:48,960] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5149766Z [2022-11-23 01:29:48,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5149959Z [2022-11-23 01:29:48,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5150105Z  __compiled_fn_548 <eval_with_key>.3378 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5150203Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5150414Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5150516Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.5150798Z call_function, gather, <built-in method gather of type object at 0x7f209c394c60>, (ex_1_, 0, ex_2_), {}
2022-11-23T01:32:31.5151007Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T01:32:31.5151102Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.5151109Z 
2022-11-23T01:32:31.5151433Z [2022-11-23 01:29:48,964] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5151536Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5151634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5151728Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5151829Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5151923Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5152020Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5152096Z              12 RETURN_VALUE
2022-11-23T01:32:31.5152101Z 
2022-11-23T01:32:31.5152168Z  
2022-11-23T01:32:31.5152491Z [2022-11-23 01:29:48,964] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5152613Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_548)
2022-11-23T01:32:31.5152712Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5152811Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5152895Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5152985Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5153079Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5153162Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5153257Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5153354Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5153436Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.5153532Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.5153623Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5153713Z              24 RETURN_VALUE
2022-11-23T01:32:31.5153722Z 
2022-11-23T01:32:31.5153789Z  
2022-11-23T01:32:31.5153978Z [2022-11-23 01:29:48,965] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5154055Z  - 
2022-11-23T01:32:31.5154180Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5154251Z             {
2022-11-23T01:32:31.5154390Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5154582Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.5154707Z                 'obj_weakref': None
2022-11-23T01:32:31.5154933Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5155005Z             }
2022-11-23T01:32:31.5155075Z             
2022-11-23T01:32:31.5155152Z  - 
2022-11-23T01:32:31.5155276Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5155346Z             {
2022-11-23T01:32:31.5155497Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5155611Z                 'code': None,
2022-11-23T01:32:31.5155825Z                 'obj_weakref': <weakref at 0x7f2068053060; to 'Tensor' at 0x7f2023143ba0>
2022-11-23T01:32:31.5156077Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5156148Z             }
2022-11-23T01:32:31.5156217Z             
2022-11-23T01:32:31.5156286Z  - 
2022-11-23T01:32:31.5156415Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5156485Z             {
2022-11-23T01:32:31.5156636Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5156749Z                 'code': None,
2022-11-23T01:32:31.5156958Z                 'obj_weakref': <weakref at 0x7f2068051080; to 'Tensor' at 0x7f2151ecf240>
2022-11-23T01:32:31.5157206Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5157268Z             }
2022-11-23T01:32:31.5157373Z             
2022-11-23T01:32:31.5157467Z  - 
2022-11-23T01:32:31.5157598Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.5157671Z             {
2022-11-23T01:32:31.5157821Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5157926Z                 'code': None,
2022-11-23T01:32:31.5158138Z                 'obj_weakref': <weakref at 0x7f2022f7a480; to 'Tensor' at 0x7f2023142b60>
2022-11-23T01:32:31.5158392Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5158463Z             }
2022-11-23T01:32:31.5158536Z             
2022-11-23T01:32:31.5158613Z  - 
2022-11-23T01:32:31.5158750Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5158813Z             {
2022-11-23T01:32:31.5158958Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5159136Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5159265Z                 'obj_weakref': None
2022-11-23T01:32:31.5159496Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5159570Z             }
2022-11-23T01:32:31.5159640Z             
2022-11-23T01:32:31.5159709Z  - 
2022-11-23T01:32:31.5159841Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5159912Z             {
2022-11-23T01:32:31.5160054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5160274Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5160403Z                 'obj_weakref': None
2022-11-23T01:32:31.5160630Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5160699Z             }
2022-11-23T01:32:31.5160761Z             
2022-11-23T01:32:31.5160837Z  - 
2022-11-23T01:32:31.5160977Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5161047Z             {
2022-11-23T01:32:31.5161178Z                 'guard_types': None,
2022-11-23T01:32:31.5161292Z                 'code': None,
2022-11-23T01:32:31.5161408Z                 'obj_weakref': None
2022-11-23T01:32:31.5161536Z                 'guarded_class': None
2022-11-23T01:32:31.5161606Z             }
2022-11-23T01:32:31.5161675Z             
2022-11-23T01:32:31.5161942Z [2022-11-23 01:29:48,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 536
2022-11-23T01:32:31.5162198Z [2022-11-23 01:29:48,976] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5162552Z [2022-11-23 01:29:49,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6gpwlx6knv2gwb47535ybdu6km677sd4ogbub2epda5cvoct3jp.py
2022-11-23T01:32:31.5162819Z [2022-11-23 01:29:49,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 536
2022-11-23T01:32:31.5162826Z 
2022-11-23T01:32:31.5162927Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5162998Z import torch
2022-11-23T01:32:31.5163079Z import random
2022-11-23T01:32:31.5163202Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5163330Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5163336Z 
2022-11-23T01:32:31.5163421Z aten = torch.ops.aten
2022-11-23T01:32:31.5163563Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5163682Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5163688Z 
2022-11-23T01:32:31.5163778Z import triton
2022-11-23T01:32:31.5163913Z import triton.language as tl
2022-11-23T01:32:31.5164049Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5164194Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5164199Z 
2022-11-23T01:32:31.5164204Z 
2022-11-23T01:32:31.5164375Z triton_fused_add_gather0 = async_compile.triton('''
2022-11-23T01:32:31.5164451Z import triton
2022-11-23T01:32:31.5164546Z import triton.language as tl
2022-11-23T01:32:31.5164702Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5164821Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5164957Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5165168Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5165174Z 
2022-11-23T01:32:31.5165587Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.5165663Z @triton.jit
2022-11-23T01:32:31.5165821Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5165898Z     xnumel = 672
2022-11-23T01:32:31.5166001Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5166127Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5166216Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5166289Z     x2 = xindex
2022-11-23T01:32:31.5166376Z     x1 = (xindex // 32)
2022-11-23T01:32:31.5166454Z     x0 = xindex % 32
2022-11-23T01:32:31.5166556Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.5166648Z     tmp2 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.5166798Z     tmp1 = tl.load(in_ptr1 + (x1 + (512*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5166879Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.5167018Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.5167106Z ''')
2022-11-23T01:32:31.5167111Z 
2022-11-23T01:32:31.5167116Z 
2022-11-23T01:32:31.5167211Z async_compile.wait(globals())
2022-11-23T01:32:31.5167290Z del async_compile
2022-11-23T01:32:31.5167295Z 
2022-11-23T01:32:31.5167373Z def call(args):
2022-11-23T01:32:31.5167454Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.5167533Z     args.clear()
2022-11-23T01:32:31.5167744Z     buf0 = empty_strided((32, 21), (1, 32), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5167841Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5168006Z     triton_fused_add_gather0.run(arg2_1, arg1_1, arg0_1, buf0, 672, grid=grid(672), stream=stream0)
2022-11-23T01:32:31.5168084Z     del arg0_1
2022-11-23T01:32:31.5168158Z     del arg1_1
2022-11-23T01:32:31.5168224Z     del arg2_1
2022-11-23T01:32:31.5168302Z     return (buf0, )
2022-11-23T01:32:31.5168307Z 
2022-11-23T01:32:31.5168311Z 
2022-11-23T01:32:31.5168393Z if __name__ == "__main__":
2022-11-23T01:32:31.5168516Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5168651Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5168857Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5169066Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5169265Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5169393Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.5169407Z 
2022-11-23T01:32:31.5169411Z 
2022-11-23T01:32:31.5169505Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5169582Z import torch
2022-11-23T01:32:31.5169664Z import random
2022-11-23T01:32:31.5169787Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5169916Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5169921Z 
2022-11-23T01:32:31.5170005Z aten = torch.ops.aten
2022-11-23T01:32:31.5170147Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5170239Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5170243Z 
2022-11-23T01:32:31.5170318Z import triton
2022-11-23T01:32:31.5170414Z import triton.language as tl
2022-11-23T01:32:31.5170543Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5170688Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5170693Z 
2022-11-23T01:32:31.5170729Z 
2022-11-23T01:32:31.5170944Z triton_fused_gather_add0 = async_compile.triton('''
2022-11-23T01:32:31.5171021Z import triton
2022-11-23T01:32:31.5171115Z import triton.language as tl
2022-11-23T01:32:31.5171224Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5171329Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5171470Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5171599Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5171605Z 
2022-11-23T01:32:31.5172008Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.5172083Z @triton.jit
2022-11-23T01:32:31.5172242Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5172336Z     xnumel = 672
2022-11-23T01:32:31.5172441Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5172590Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5172674Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5172747Z     x2 = xindex
2022-11-23T01:32:31.5172828Z     x1 = (xindex // 32)
2022-11-23T01:32:31.5172905Z     x0 = xindex % 32
2022-11-23T01:32:31.5173006Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.5173119Z     tmp2 = tl.load(in_ptr2 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5173281Z     tmp1 = tl.load(in_ptr1 + (x1 + (512*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5173364Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.5173500Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.5173589Z ''')
2022-11-23T01:32:31.5173595Z 
2022-11-23T01:32:31.5173599Z 
2022-11-23T01:32:31.5173694Z async_compile.wait(globals())
2022-11-23T01:32:31.5173772Z del async_compile
2022-11-23T01:32:31.5173779Z 
2022-11-23T01:32:31.5173854Z def call(args):
2022-11-23T01:32:31.5173938Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.5174015Z     args.clear()
2022-11-23T01:32:31.5174217Z     buf0 = empty_strided((32, 21), (1, 32), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5174308Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5174470Z     triton_fused_gather_add0.run(arg2_1, arg1_1, arg0_1, buf0, 672, grid=grid(672), stream=stream0)
2022-11-23T01:32:31.5174545Z     del arg0_1
2022-11-23T01:32:31.5174619Z     del arg1_1
2022-11-23T01:32:31.5174684Z     del arg2_1
2022-11-23T01:32:31.5174762Z     return (buf0, )
2022-11-23T01:32:31.5174767Z 
2022-11-23T01:32:31.5174772Z 
2022-11-23T01:32:31.5174852Z if __name__ == "__main__":
2022-11-23T01:32:31.5174974Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5175105Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5175308Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5175516Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5175716Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5175840Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.5175845Z 
2022-11-23T01:32:31.5175918Z ok (0.211s)
2022-11-23T01:32:31.5176220Z   test_inf_cuda (__main__.CudaTests) ... [2022-11-23 01:29:49,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5176537Z [2022-11-23 01:29:49,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5176765Z [2022-11-23 01:29:49,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5177027Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5177338Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5177692Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5178033Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5178350Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5178729Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753> 
2022-11-23T01:32:31.5178943Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5179056Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5179204Z                4 LOAD_CONST               1 ('inf')
2022-11-23T01:32:31.5179303Z                6 CALL_FUNCTION            1
2022-11-23T01:32:31.5179387Z                8 BINARY_ADD
2022-11-23T01:32:31.5179484Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5179576Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5179724Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T01:32:31.5179821Z               16 CALL_FUNCTION            1
2022-11-23T01:32:31.5179901Z               18 BINARY_ADD
2022-11-23T01:32:31.5186148Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5186272Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5186447Z               24 LOAD_CONST               1 ('inf')
2022-11-23T01:32:31.5186540Z               26 CALL_FUNCTION            1
2022-11-23T01:32:31.5186630Z               28 UNARY_NEGATIVE
2022-11-23T01:32:31.5186726Z               30 BINARY_MULTIPLY
2022-11-23T01:32:31.5186827Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.5186912Z               34 RETURN_VALUE
2022-11-23T01:32:31.5186979Z  
2022-11-23T01:32:31.5186984Z 
2022-11-23T01:32:31.5187353Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754
2022-11-23T01:32:31.5187593Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5187871Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T01:32:31.5188192Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5188557Z [2022-11-23 01:29:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5188883Z [2022-11-23 01:29:49,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5189156Z [2022-11-23 01:29:49,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.5189472Z [2022-11-23 01:29:49,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5189828Z [2022-11-23 01:29:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5190225Z [2022-11-23 01:29:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5190654Z [2022-11-23 01:29:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5190998Z [2022-11-23 01:29:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5191326Z [2022-11-23 01:29:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5191664Z [2022-11-23 01:29:49,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5192036Z [2022-11-23 01:29:49,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5192435Z [2022-11-23 01:29:49,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5192793Z [2022-11-23 01:29:49,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5193097Z [2022-11-23 01:29:49,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5193350Z [2022-11-23 01:29:49,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5193733Z [2022-11-23 01:29:49,061] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753>
2022-11-23T01:32:31.5193984Z [2022-11-23 01:29:49,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5194224Z [2022-11-23 01:29:49,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5194485Z [2022-11-23 01:29:49,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5194732Z [2022-11-23 01:29:49,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5194929Z [2022-11-23 01:29:49,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5195072Z  __compiled_fn_549 <eval_with_key>.3384 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5195172Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5195358Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T01:32:31.5195543Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T01:32:31.5195722Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T01:32:31.5195838Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T01:32:31.5195843Z 
2022-11-23T01:32:31.5196169Z [2022-11-23 01:29:49,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5196266Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5196369Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5196464Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5196568Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5196663Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5196758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5196846Z              12 RETURN_VALUE
2022-11-23T01:32:31.5196851Z 
2022-11-23T01:32:31.5196911Z  
2022-11-23T01:32:31.5197232Z [2022-11-23 01:29:49,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5197350Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_549)
2022-11-23T01:32:31.5197451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5197547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5197662Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5197759Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5197896Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5198000Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5198099Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5198183Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5198293Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5198390Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5198472Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5198580Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5198670Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5198753Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5198851Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.5198934Z              32 RETURN_VALUE
2022-11-23T01:32:31.5198940Z 
2022-11-23T01:32:31.5199012Z  
2022-11-23T01:32:31.5199201Z [2022-11-23 01:29:49,066] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5199280Z  - 
2022-11-23T01:32:31.5199398Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5199469Z             {
2022-11-23T01:32:31.5199616Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5199813Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5199940Z                 'obj_weakref': None
2022-11-23T01:32:31.5200168Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5200243Z             }
2022-11-23T01:32:31.5200306Z             
2022-11-23T01:32:31.5200383Z  - 
2022-11-23T01:32:31.5200517Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5200588Z             {
2022-11-23T01:32:31.5200737Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5200853Z                 'code': None,
2022-11-23T01:32:31.5201072Z                 'obj_weakref': <weakref at 0x7f2068052a70; to 'Tensor' at 0x7f1ff814c2c0>
2022-11-23T01:32:31.5201317Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5201387Z             }
2022-11-23T01:32:31.5201457Z             
2022-11-23T01:32:31.5201533Z  - 
2022-11-23T01:32:31.5201670Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5201740Z             {
2022-11-23T01:32:31.5201880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5202048Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5202177Z                 'obj_weakref': None
2022-11-23T01:32:31.5202411Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5202482Z             }
2022-11-23T01:32:31.5202551Z             
2022-11-23T01:32:31.5202629Z  - 
2022-11-23T01:32:31.5202755Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5202821Z             {
2022-11-23T01:32:31.5202967Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5203189Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5203316Z                 'obj_weakref': None
2022-11-23T01:32:31.5203542Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5203613Z             }
2022-11-23T01:32:31.5203683Z             
2022-11-23T01:32:31.5203753Z  - 
2022-11-23T01:32:31.5203889Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:31.5203960Z             {
2022-11-23T01:32:31.5204090Z                 'guard_types': None,
2022-11-23T01:32:31.5204202Z                 'code': None,
2022-11-23T01:32:31.5204327Z                 'obj_weakref': None
2022-11-23T01:32:31.5204454Z                 'guarded_class': None
2022-11-23T01:32:31.5204517Z             }
2022-11-23T01:32:31.5204586Z             
2022-11-23T01:32:31.5204878Z [2022-11-23 01:29:49,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 537
2022-11-23T01:32:31.5205229Z [2022-11-23 01:29:49,078] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.5205585Z [2022-11-23 01:29:49,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2k/c2kzr6iwqv5g437x7l57cb57ucjh27wyqkdiwja3zzh7ym3wqtag.py
2022-11-23T01:32:31.5205853Z [2022-11-23 01:29:49,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 537
2022-11-23T01:32:31.5206093Z [2022-11-23 01:29:49,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5206408Z [2022-11-23 01:29:49,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5206633Z [2022-11-23 01:29:49,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5206883Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5207163Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5207481Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5207824Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5208145Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5208521Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753> 
2022-11-23T01:32:31.5208627Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5208732Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5208876Z                4 LOAD_CONST               1 ('inf')
2022-11-23T01:32:31.5208968Z                6 CALL_FUNCTION            1
2022-11-23T01:32:31.5209049Z                8 BINARY_ADD
2022-11-23T01:32:31.5209149Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5209252Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5209400Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T01:32:31.5209497Z               16 CALL_FUNCTION            1
2022-11-23T01:32:31.5209579Z               18 BINARY_ADD
2022-11-23T01:32:31.5209669Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5209771Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:31.5209917Z               24 LOAD_CONST               1 ('inf')
2022-11-23T01:32:31.5210015Z               26 CALL_FUNCTION            1
2022-11-23T01:32:31.5210101Z               28 UNARY_NEGATIVE
2022-11-23T01:32:31.5210192Z               30 BINARY_MULTIPLY
2022-11-23T01:32:31.5210289Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.5210364Z               34 RETURN_VALUE
2022-11-23T01:32:31.5210431Z  
2022-11-23T01:32:31.5210436Z 
2022-11-23T01:32:31.5210753Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754
2022-11-23T01:32:31.5210969Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5211219Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T01:32:31.5211524Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5211844Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5212150Z [2022-11-23 01:29:49,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5212413Z [2022-11-23 01:29:49,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.5212705Z [2022-11-23 01:29:49,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5213015Z [2022-11-23 01:29:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5213359Z [2022-11-23 01:29:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5213667Z [2022-11-23 01:29:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5213934Z [2022-11-23 01:29:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5214235Z [2022-11-23 01:29:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5214561Z [2022-11-23 01:29:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:31.5214923Z [2022-11-23 01:29:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5215261Z [2022-11-23 01:29:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5215607Z [2022-11-23 01:29:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5215901Z [2022-11-23 01:29:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5216150Z [2022-11-23 01:29:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5216519Z [2022-11-23 01:29:49,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaefa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753>
2022-11-23T01:32:31.5216765Z [2022-11-23 01:29:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5217004Z [2022-11-23 01:29:49,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5217261Z [2022-11-23 01:29:49,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5217513Z [2022-11-23 01:29:49,256] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5217706Z [2022-11-23 01:29:49,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5217850Z  __compiled_fn_550 <eval_with_key>.3390 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5217949Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5218130Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T01:32:31.5218306Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T01:32:31.5218487Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T01:32:31.5218604Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T01:32:31.5218609Z 
2022-11-23T01:32:31.5219110Z [2022-11-23 01:29:49,256] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5219258Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5219358Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5219453Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5219555Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5219641Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5219738Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5219822Z              12 RETURN_VALUE
2022-11-23T01:32:31.5219827Z 
2022-11-23T01:32:31.5219895Z  
2022-11-23T01:32:31.5220218Z [2022-11-23 01:29:49,256] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5220340Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_550)
2022-11-23T01:32:31.5220438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5220533Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5220617Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5220716Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5220831Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5220940Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5221039Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5221124Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5221235Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5221325Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5221408Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5221517Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5221612Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5221696Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5221795Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.5221880Z              32 RETURN_VALUE
2022-11-23T01:32:31.5221886Z 
2022-11-23T01:32:31.5221946Z  
2022-11-23T01:32:31.5222135Z [2022-11-23 01:29:49,257] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5222215Z  - 
2022-11-23T01:32:31.5222341Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5222412Z             {
2022-11-23T01:32:31.5222562Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5222784Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5222913Z                 'obj_weakref': None
2022-11-23T01:32:31.5223138Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5223209Z             }
2022-11-23T01:32:31.5223280Z             
2022-11-23T01:32:31.5223357Z  - 
2022-11-23T01:32:31.5223490Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5223563Z             {
2022-11-23T01:32:31.5223706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5223819Z                 'code': None,
2022-11-23T01:32:31.5224034Z                 'obj_weakref': <weakref at 0x7f20727288b0; to 'Tensor' at 0x7f1ff81a7240>
2022-11-23T01:32:31.5224286Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5224358Z             }
2022-11-23T01:32:31.5224430Z             
2022-11-23T01:32:31.5224508Z  - 
2022-11-23T01:32:31.5224637Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5224708Z             {
2022-11-23T01:32:31.5224850Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5225027Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5225152Z                 'obj_weakref': None
2022-11-23T01:32:31.5225418Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5225491Z             }
2022-11-23T01:32:31.5225575Z             
2022-11-23T01:32:31.5225654Z  - 
2022-11-23T01:32:31.5225781Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5225851Z             {
2022-11-23T01:32:31.5225993Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5226215Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5226340Z                 'obj_weakref': None
2022-11-23T01:32:31.5226562Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5226634Z             }
2022-11-23T01:32:31.5226703Z             
2022-11-23T01:32:31.5226781Z  - 
2022-11-23T01:32:31.5226919Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:31.5226989Z             {
2022-11-23T01:32:31.5227117Z                 'guard_types': None,
2022-11-23T01:32:31.5227224Z                 'code': None,
2022-11-23T01:32:31.5227352Z                 'obj_weakref': None
2022-11-23T01:32:31.5227485Z                 'guarded_class': None
2022-11-23T01:32:31.5227556Z             }
2022-11-23T01:32:31.5227625Z             
2022-11-23T01:32:31.5227887Z [2022-11-23 01:29:49,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 538
2022-11-23T01:32:31.5228218Z [2022-11-23 01:29:49,270] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.5228581Z [2022-11-23 01:29:49,336] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5s/c5sxvalyrlsieutsh5qqmppohgtzrnfxd7cdrcoys5oz7wgwm7zj.py
2022-11-23T01:32:31.5228849Z [2022-11-23 01:29:49,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 538
2022-11-23T01:32:31.5228855Z 
2022-11-23T01:32:31.5228958Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5229036Z import torch
2022-11-23T01:32:31.5229116Z import random
2022-11-23T01:32:31.5229240Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5229373Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5229379Z 
2022-11-23T01:32:31.5229464Z aten = torch.ops.aten
2022-11-23T01:32:31.5229599Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5229699Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5229704Z 
2022-11-23T01:32:31.5229779Z import triton
2022-11-23T01:32:31.5229874Z import triton.language as tl
2022-11-23T01:32:31.5230004Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5230149Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5230155Z 
2022-11-23T01:32:31.5230159Z 
2022-11-23T01:32:31.5230428Z triton_fused_add_1_mul_add0 = async_compile.triton('''
2022-11-23T01:32:31.5230525Z import triton
2022-11-23T01:32:31.5230617Z import triton.language as tl
2022-11-23T01:32:31.5230735Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5230842Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5230983Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5231113Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5231118Z 
2022-11-23T01:32:31.5231523Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5231602Z @triton.jit
2022-11-23T01:32:31.5231759Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5231828Z     xnumel = 8
2022-11-23T01:32:31.5231930Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5232063Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5232151Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5232225Z     x0 = xindex
2022-11-23T01:32:31.5232358Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5232474Z     tmp1 = float("inf")
2022-11-23T01:32:31.5232548Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.5232662Z     tmp3 = float("-inf")
2022-11-23T01:32:31.5232742Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:31.5232822Z     tmp5 = tmp0 * tmp3
2022-11-23T01:32:31.5232962Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5233101Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.5233235Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.5233315Z ''')
2022-11-23T01:32:31.5233321Z 
2022-11-23T01:32:31.5233333Z 
2022-11-23T01:32:31.5233422Z async_compile.wait(globals())
2022-11-23T01:32:31.5233501Z del async_compile
2022-11-23T01:32:31.5233506Z 
2022-11-23T01:32:31.5233584Z def call(args):
2022-11-23T01:32:31.5233659Z     arg0_1, = args
2022-11-23T01:32:31.5233737Z     args.clear()
2022-11-23T01:32:31.5233936Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5234131Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5234312Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5234406Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5234572Z     triton_fused_add_1_mul_add0.run(arg0_1, buf0, buf1, buf2, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.5234646Z     del arg0_1
2022-11-23T01:32:31.5234737Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5234742Z 
2022-11-23T01:32:31.5234746Z 
2022-11-23T01:32:31.5234829Z if __name__ == "__main__":
2022-11-23T01:32:31.5234955Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5235085Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5235276Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5235393Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5235399Z 
2022-11-23T01:32:31.5235406Z 
2022-11-23T01:32:31.5235508Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5235583Z import torch
2022-11-23T01:32:31.5235660Z import random
2022-11-23T01:32:31.5235782Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5235911Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5235916Z 
2022-11-23T01:32:31.5235993Z aten = torch.ops.aten
2022-11-23T01:32:31.5236136Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5236235Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5236240Z 
2022-11-23T01:32:31.5236316Z import triton
2022-11-23T01:32:31.5236414Z import triton.language as tl
2022-11-23T01:32:31.5236544Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5236689Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5236695Z 
2022-11-23T01:32:31.5236699Z 
2022-11-23T01:32:31.5236873Z triton_fused_add_1_add_mul0 = async_compile.triton('''
2022-11-23T01:32:31.5236944Z import triton
2022-11-23T01:32:31.5237039Z import triton.language as tl
2022-11-23T01:32:31.5237156Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5237260Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5237396Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5237525Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5237530Z 
2022-11-23T01:32:31.5237924Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5237999Z @triton.jit
2022-11-23T01:32:31.5238147Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5238222Z     xnumel = 8
2022-11-23T01:32:31.5238321Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5238486Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5238591Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5238664Z     x0 = xindex
2022-11-23T01:32:31.5238783Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5238859Z     tmp1 = float("inf")
2022-11-23T01:32:31.5238940Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.5239054Z     tmp3 = float("-inf")
2022-11-23T01:32:31.5239136Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:31.5239216Z     tmp5 = tmp0 * tmp3
2022-11-23T01:32:31.5239352Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5239489Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.5239618Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.5239705Z ''')
2022-11-23T01:32:31.5239710Z 
2022-11-23T01:32:31.5239715Z 
2022-11-23T01:32:31.5239814Z async_compile.wait(globals())
2022-11-23T01:32:31.5239897Z del async_compile
2022-11-23T01:32:31.5239902Z 
2022-11-23T01:32:31.5239981Z def call(args):
2022-11-23T01:32:31.5240057Z     arg0_1, = args
2022-11-23T01:32:31.5240137Z     args.clear()
2022-11-23T01:32:31.5240328Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5240512Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5240699Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5240798Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5240962Z     triton_fused_add_1_add_mul0.run(arg0_1, buf0, buf1, buf2, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.5241038Z     del arg0_1
2022-11-23T01:32:31.5241128Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.5241133Z 
2022-11-23T01:32:31.5241137Z 
2022-11-23T01:32:31.5241220Z if __name__ == "__main__":
2022-11-23T01:32:31.5241339Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5241464Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5241661Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5241778Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5241783Z 
2022-11-23T01:32:31.5241857Z ok (0.284s)
2022-11-23T01:32:31.5242234Z   test_inplace_activations_cuda (__main__.CudaTests) ... [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5242549Z [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5242770Z [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5243030Z [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5243317Z [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5243631Z [2022-11-23 01:29:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5243975Z [2022-11-23 01:29:49,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5244297Z [2022-11-23 01:29:49,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5244667Z [2022-11-23 01:29:49,342] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396> 
2022-11-23T01:32:31.5244774Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5244885Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T01:32:31.5245020Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5245144Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5245224Z                8 BINARY_ADD
2022-11-23T01:32:31.5245313Z               10 CALL_METHOD              1
2022-11-23T01:32:31.5245413Z               12 STORE_FAST               1 (a)
2022-11-23T01:32:31.5245418Z 
2022-11-23T01:32:31.5245519Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5245629Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T01:32:31.5245731Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5245827Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5245907Z               22 BINARY_ADD
2022-11-23T01:32:31.5245995Z               24 CALL_METHOD              1
2022-11-23T01:32:31.5246095Z               26 STORE_FAST               2 (b)
2022-11-23T01:32:31.5246100Z 
2022-11-23T01:32:31.5246200Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5246311Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T01:32:31.5246409Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5246504Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5246583Z               36 BINARY_ADD
2022-11-23T01:32:31.5246678Z               38 CALL_METHOD              1
2022-11-23T01:32:31.5246767Z               40 STORE_FAST               3 (c)
2022-11-23T01:32:31.5246772Z 
2022-11-23T01:32:31.5246872Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5246971Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T01:32:31.5247067Z               46 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5247161Z               48 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5247241Z               50 BINARY_ADD
2022-11-23T01:32:31.5247335Z               52 CALL_METHOD              1
2022-11-23T01:32:31.5247423Z               54 STORE_FAST               4 (d)
2022-11-23T01:32:31.5247428Z 
2022-11-23T01:32:31.5247530Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5247635Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T01:32:31.5247728Z               60 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5247823Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5247905Z               64 BINARY_ADD
2022-11-23T01:32:31.5248000Z               66 CALL_METHOD              1
2022-11-23T01:32:31.5248088Z               68 STORE_FAST               5 (e)
2022-11-23T01:32:31.5248102Z 
2022-11-23T01:32:31.5248194Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5248305Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:31.5248399Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5248493Z               76 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5248572Z               78 BINARY_ADD
2022-11-23T01:32:31.5248672Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5248781Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T01:32:31.5248870Z               84 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5248968Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5249067Z               88 LOAD_ATTR                9 (bool)
2022-11-23T01:32:31.5249223Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:31.5249323Z               92 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5249425Z               94 LOAD_CONST               3 (99.0)
2022-11-23T01:32:31.5249518Z               96 CALL_METHOD              3
2022-11-23T01:32:31.5249607Z               98 STORE_FAST               6 (f)
2022-11-23T01:32:31.5249620Z 
2022-11-23T01:32:31.5249712Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5249823Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:31.5249919Z              104 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5250041Z              106 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5250122Z              108 BINARY_ADD
2022-11-23T01:32:31.5250243Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5250349Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T01:32:31.5250437Z              114 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5250536Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5250635Z              118 LOAD_ATTR                9 (bool)
2022-11-23T01:32:31.5250792Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:31.5250894Z              122 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5250992Z              124 LOAD_CONST               3 (99.0)
2022-11-23T01:32:31.5251090Z              126 CALL_METHOD              3
2022-11-23T01:32:31.5251179Z              128 STORE_FAST               7 (h)
2022-11-23T01:32:31.5251184Z 
2022-11-23T01:32:31.5251278Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T01:32:31.5251375Z              132 LOAD_FAST                2 (b)
2022-11-23T01:32:31.5251476Z              134 LOAD_FAST                3 (c)
2022-11-23T01:32:31.5251569Z              136 LOAD_FAST                4 (d)
2022-11-23T01:32:31.5251662Z              138 LOAD_FAST                5 (e)
2022-11-23T01:32:31.5251756Z              140 LOAD_FAST                6 (f)
2022-11-23T01:32:31.5251842Z              142 LOAD_FAST                7 (h)
2022-11-23T01:32:31.5251937Z              144 BUILD_TUPLE              7
2022-11-23T01:32:31.5252020Z              146 RETURN_VALUE
2022-11-23T01:32:31.5252087Z  
2022-11-23T01:32:31.5252092Z 
2022-11-23T01:32:31.5252410Z [2022-11-23 01:29:49,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397
2022-11-23T01:32:31.5252635Z [2022-11-23 01:29:49,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5252953Z [2022-11-23 01:29:49,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5253220Z [2022-11-23 01:29:49,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T01:32:31.5253510Z [2022-11-23 01:29:49,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:31.5253832Z [2022-11-23 01:29:49,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5254125Z [2022-11-23 01:29:49,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:31.5254369Z [2022-11-23 01:29:49,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5254684Z [2022-11-23 01:29:49,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398
2022-11-23T01:32:31.5254906Z [2022-11-23 01:29:49,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5255218Z [2022-11-23 01:29:49,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5255476Z [2022-11-23 01:29:49,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T01:32:31.5255763Z [2022-11-23 01:29:49,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:31.5256091Z [2022-11-23 01:29:49,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5256383Z [2022-11-23 01:29:49,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:31.5256652Z [2022-11-23 01:29:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:31.5256977Z [2022-11-23 01:29:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399
2022-11-23T01:32:31.5257197Z [2022-11-23 01:29:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5257509Z [2022-11-23 01:29:49,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5257768Z [2022-11-23 01:29:49,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T01:32:31.5258062Z [2022-11-23 01:29:49,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:31.5258399Z [2022-11-23 01:29:49,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5258699Z [2022-11-23 01:29:49,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:31.5259060Z [2022-11-23 01:29:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:31.5259380Z [2022-11-23 01:29:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400
2022-11-23T01:32:31.5259601Z [2022-11-23 01:29:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5259905Z [2022-11-23 01:29:49,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5260158Z [2022-11-23 01:29:49,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T01:32:31.5260443Z [2022-11-23 01:29:49,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:31.5260765Z [2022-11-23 01:29:49,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5261048Z [2022-11-23 01:29:49,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:31.5261289Z [2022-11-23 01:29:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:31.5261604Z [2022-11-23 01:29:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401
2022-11-23T01:32:31.5261825Z [2022-11-23 01:29:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5262132Z [2022-11-23 01:29:49,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5262417Z [2022-11-23 01:29:49,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T01:32:31.5262719Z [2022-11-23 01:29:49,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:31.5263048Z [2022-11-23 01:29:49,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5263334Z [2022-11-23 01:29:49,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:31.5263578Z [2022-11-23 01:29:49,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:31.5263936Z [2022-11-23 01:29:49,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402
2022-11-23T01:32:31.5264161Z [2022-11-23 01:29:49,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5264507Z [2022-11-23 01:29:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5264775Z [2022-11-23 01:29:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:31.5265070Z [2022-11-23 01:29:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5265408Z [2022-11-23 01:29:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5265704Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5266163Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5266581Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5267029Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5267612Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5268095Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:31.5268610Z [2022-11-23 01:29:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:31.5268929Z [2022-11-23 01:29:49,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5269289Z [2022-11-23 01:29:49,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5269536Z [2022-11-23 01:29:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:31.5269847Z [2022-11-23 01:29:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403
2022-11-23T01:32:31.5270066Z [2022-11-23 01:29:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5270456Z [2022-11-23 01:29:49,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5270740Z [2022-11-23 01:29:49,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:31.5271031Z [2022-11-23 01:29:49,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5271385Z [2022-11-23 01:29:49,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5271702Z [2022-11-23 01:29:49,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5272151Z [2022-11-23 01:29:49,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5272552Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5272985Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5273553Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5274027Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:31.5274537Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:31.5274858Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5275214Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5275455Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T01:32:31.5275767Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404
2022-11-23T01:32:31.5275980Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5276223Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.5276482Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5276778Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5277101Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5277448Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5277822Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5278257Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5278542Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5278925Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396>
2022-11-23T01:32:31.5279180Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5279421Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5279683Z [2022-11-23 01:29:49,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5279934Z [2022-11-23 01:29:49,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5280133Z [2022-11-23 01:29:49,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5280279Z  __compiled_fn_551 <eval_with_key>.3396 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5280376Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5280558Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5280688Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T01:32:31.5280868Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5280997Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T01:32:31.5281167Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5281296Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T01:32:31.5281469Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5281583Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T01:32:31.5281760Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5281884Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T01:32:31.5282060Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5282326Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:31.5282477Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T01:32:31.5282656Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5282930Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:31.5283081Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T01:32:31.5283267Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T01:32:31.5283273Z 
2022-11-23T01:32:31.5283602Z [2022-11-23 01:29:49,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5283707Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5283806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5283894Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5283995Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5284089Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5284186Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5284269Z              12 RETURN_VALUE
2022-11-23T01:32:31.5284275Z 
2022-11-23T01:32:31.5284343Z  
2022-11-23T01:32:31.5284661Z [2022-11-23 01:29:49,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5284837Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_551)
2022-11-23T01:32:31.5284932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5285052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5285136Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5285231Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5285347Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5285460Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5285561Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5285637Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5285747Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5285844Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5285928Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5286036Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5286133Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5286220Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5286326Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5286422Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.5286505Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.5286614Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5286713Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.5286795Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.5286901Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5286990Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:31.5287072Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.5287180Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5287277Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:31.5287359Z              52 BINARY_SUBSCR
2022-11-23T01:32:31.5287455Z              54 BUILD_TUPLE              7
2022-11-23T01:32:31.5287539Z              56 RETURN_VALUE
2022-11-23T01:32:31.5287547Z 
2022-11-23T01:32:31.5287613Z  
2022-11-23T01:32:31.5287798Z [2022-11-23 01:29:49,413] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5287876Z  - 
2022-11-23T01:32:31.5288003Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5288076Z             {
2022-11-23T01:32:31.5288226Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5288418Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5288545Z                 'obj_weakref': None
2022-11-23T01:32:31.5288766Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5288841Z             }
2022-11-23T01:32:31.5288911Z             
2022-11-23T01:32:31.5288989Z  - 
2022-11-23T01:32:31.5289120Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5289191Z             {
2022-11-23T01:32:31.5289333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5289450Z                 'code': None,
2022-11-23T01:32:31.5289667Z                 'obj_weakref': <weakref at 0x7f207272b290; to 'Tensor' at 0x7f20606b9490>
2022-11-23T01:32:31.5289919Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5289992Z             }
2022-11-23T01:32:31.5290063Z             
2022-11-23T01:32:31.5290141Z  - 
2022-11-23T01:32:31.5290278Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5290341Z             {
2022-11-23T01:32:31.5290482Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5290657Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5290783Z                 'obj_weakref': None
2022-11-23T01:32:31.5291016Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5291088Z             }
2022-11-23T01:32:31.5291157Z             
2022-11-23T01:32:31.5291257Z  - 
2022-11-23T01:32:31.5291386Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5291478Z             {
2022-11-23T01:32:31.5291621Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5291842Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5291971Z                 'obj_weakref': None
2022-11-23T01:32:31.5292233Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5292302Z             }
2022-11-23T01:32:31.5292372Z             
2022-11-23T01:32:31.5292451Z  - 
2022-11-23T01:32:31.5292587Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5292657Z             {
2022-11-23T01:32:31.5292783Z                 'guard_types': None,
2022-11-23T01:32:31.5292888Z                 'code': None,
2022-11-23T01:32:31.5293013Z                 'obj_weakref': None
2022-11-23T01:32:31.5293139Z                 'guarded_class': None
2022-11-23T01:32:31.5293211Z             }
2022-11-23T01:32:31.5293281Z             
2022-11-23T01:32:31.5293359Z  - 
2022-11-23T01:32:31.5293497Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5293560Z             {
2022-11-23T01:32:31.5293684Z                 'guard_types': None,
2022-11-23T01:32:31.5293796Z                 'code': None,
2022-11-23T01:32:31.5293919Z                 'obj_weakref': None
2022-11-23T01:32:31.5294046Z                 'guarded_class': None
2022-11-23T01:32:31.5294116Z             }
2022-11-23T01:32:31.5294186Z             
2022-11-23T01:32:31.5294255Z  - 
2022-11-23T01:32:31.5294404Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:31.5294473Z             {
2022-11-23T01:32:31.5294622Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.5294790Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:31.5294915Z                 'obj_weakref': None
2022-11-23T01:32:31.5295143Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:31.5295209Z             }
2022-11-23T01:32:31.5295278Z             
2022-11-23T01:32:31.5295543Z [2022-11-23 01:29:49,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 539
2022-11-23T01:32:31.5296036Z [2022-11-23 01:29:49,474] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6')]
2022-11-23T01:32:31.5296401Z [2022-11-23 01:29:49,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3a/c3aygcecy2asvl5lgmrhfegcr467yple2faao655yek7pfglhncw.py
2022-11-23T01:32:31.5296667Z [2022-11-23 01:29:49,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 539
2022-11-23T01:32:31.5296908Z [2022-11-23 01:29:49,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5297231Z [2022-11-23 01:29:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5297458Z [2022-11-23 01:29:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5297709Z [2022-11-23 01:29:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5297996Z [2022-11-23 01:29:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5298318Z [2022-11-23 01:29:49,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5298663Z [2022-11-23 01:29:49,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5299142Z [2022-11-23 01:29:49,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5299544Z [2022-11-23 01:29:49,680] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396> 
2022-11-23T01:32:31.5299649Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5299763Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T01:32:31.5299865Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5299963Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5300037Z                8 BINARY_ADD
2022-11-23T01:32:31.5300134Z               10 CALL_METHOD              1
2022-11-23T01:32:31.5300235Z               12 STORE_FAST               1 (a)
2022-11-23T01:32:31.5300240Z 
2022-11-23T01:32:31.5300341Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5300453Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T01:32:31.5300553Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5300650Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5300722Z               22 BINARY_ADD
2022-11-23T01:32:31.5300818Z               24 CALL_METHOD              1
2022-11-23T01:32:31.5300916Z               26 STORE_FAST               2 (b)
2022-11-23T01:32:31.5300921Z 
2022-11-23T01:32:31.5301022Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5301132Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T01:32:31.5301227Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5301322Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5301394Z               36 BINARY_ADD
2022-11-23T01:32:31.5301488Z               38 CALL_METHOD              1
2022-11-23T01:32:31.5301585Z               40 STORE_FAST               3 (c)
2022-11-23T01:32:31.5301590Z 
2022-11-23T01:32:31.5301694Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5301798Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T01:32:31.5301893Z               46 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5301988Z               48 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5302067Z               50 BINARY_ADD
2022-11-23T01:32:31.5302177Z               52 CALL_METHOD              1
2022-11-23T01:32:31.5302282Z               54 STORE_FAST               4 (d)
2022-11-23T01:32:31.5302289Z 
2022-11-23T01:32:31.5302407Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5302509Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T01:32:31.5302604Z               60 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5302698Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5302777Z               64 BINARY_ADD
2022-11-23T01:32:31.5302864Z               66 CALL_METHOD              1
2022-11-23T01:32:31.5302962Z               68 STORE_FAST               5 (e)
2022-11-23T01:32:31.5302970Z 
2022-11-23T01:32:31.5303069Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5303181Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:31.5303278Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5303372Z               76 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5303451Z               78 BINARY_ADD
2022-11-23T01:32:31.5303551Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5303652Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T01:32:31.5303749Z               84 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5303851Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5303949Z               88 LOAD_ATTR                9 (bool)
2022-11-23T01:32:31.5304105Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:31.5304205Z               92 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5304339Z               94 LOAD_CONST               3 (99.0)
2022-11-23T01:32:31.5304447Z               96 CALL_METHOD              3
2022-11-23T01:32:31.5304545Z               98 STORE_FAST               6 (f)
2022-11-23T01:32:31.5304550Z 
2022-11-23T01:32:31.5304648Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5304759Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:31.5304856Z              104 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5304954Z              106 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5305034Z              108 BINARY_ADD
2022-11-23T01:32:31.5305126Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5305231Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T01:32:31.5305327Z              114 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5305427Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:31.5305528Z              118 LOAD_ATTR                9 (bool)
2022-11-23T01:32:31.5305684Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:31.5305786Z              122 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5305885Z              124 LOAD_CONST               3 (99.0)
2022-11-23T01:32:31.5305972Z              126 CALL_METHOD              3
2022-11-23T01:32:31.5306070Z              128 STORE_FAST               7 (h)
2022-11-23T01:32:31.5306075Z 
2022-11-23T01:32:31.5306170Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T01:32:31.5306264Z              132 LOAD_FAST                2 (b)
2022-11-23T01:32:31.5306364Z              134 LOAD_FAST                3 (c)
2022-11-23T01:32:31.5306458Z              136 LOAD_FAST                4 (d)
2022-11-23T01:32:31.5306551Z              138 LOAD_FAST                5 (e)
2022-11-23T01:32:31.5306636Z              140 LOAD_FAST                6 (f)
2022-11-23T01:32:31.5306729Z              142 LOAD_FAST                7 (h)
2022-11-23T01:32:31.5306827Z              144 BUILD_TUPLE              7
2022-11-23T01:32:31.5306910Z              146 RETURN_VALUE
2022-11-23T01:32:31.5306988Z  
2022-11-23T01:32:31.5306993Z 
2022-11-23T01:32:31.5307311Z [2022-11-23 01:29:49,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397
2022-11-23T01:32:31.5307538Z [2022-11-23 01:29:49,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5307854Z [2022-11-23 01:29:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5308117Z [2022-11-23 01:29:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T01:32:31.5308397Z [2022-11-23 01:29:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:31.5308732Z [2022-11-23 01:29:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5309030Z [2022-11-23 01:29:49,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:31.5309271Z [2022-11-23 01:29:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5309586Z [2022-11-23 01:29:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398
2022-11-23T01:32:31.5309806Z [2022-11-23 01:29:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5310117Z [2022-11-23 01:29:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5310452Z [2022-11-23 01:29:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T01:32:31.5310797Z [2022-11-23 01:29:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:31.5311145Z [2022-11-23 01:29:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5311429Z [2022-11-23 01:29:49,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:31.5311672Z [2022-11-23 01:29:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:31.5311983Z [2022-11-23 01:29:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399
2022-11-23T01:32:31.5312203Z [2022-11-23 01:29:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5312522Z [2022-11-23 01:29:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5312784Z [2022-11-23 01:29:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T01:32:31.5313079Z [2022-11-23 01:29:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:31.5313440Z [2022-11-23 01:29:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5313791Z [2022-11-23 01:29:49,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:31.5314035Z [2022-11-23 01:29:49,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:31.5314349Z [2022-11-23 01:29:49,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400
2022-11-23T01:32:31.5314573Z [2022-11-23 01:29:49,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5314882Z [2022-11-23 01:29:49,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5315141Z [2022-11-23 01:29:49,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T01:32:31.5315527Z [2022-11-23 01:29:49,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:31.5315857Z [2022-11-23 01:29:49,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5316146Z [2022-11-23 01:29:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:31.5316391Z [2022-11-23 01:29:49,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:31.5316709Z [2022-11-23 01:29:49,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401
2022-11-23T01:32:31.5316932Z [2022-11-23 01:29:49,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5317234Z [2022-11-23 01:29:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5317494Z [2022-11-23 01:29:49,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T01:32:31.5317774Z [2022-11-23 01:29:49,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:31.5318126Z [2022-11-23 01:29:49,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5318429Z [2022-11-23 01:29:49,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:31.5318669Z [2022-11-23 01:29:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:31.5318982Z [2022-11-23 01:29:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402
2022-11-23T01:32:31.5319199Z [2022-11-23 01:29:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5319512Z [2022-11-23 01:29:49,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5319772Z [2022-11-23 01:29:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:31.5320056Z [2022-11-23 01:29:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5320393Z [2022-11-23 01:29:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5320696Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5321155Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5321568Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5322014Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5322601Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5323093Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:31.5323614Z [2022-11-23 01:29:49,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:31.5323935Z [2022-11-23 01:29:49,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5324292Z [2022-11-23 01:29:49,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5324537Z [2022-11-23 01:29:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:31.5324848Z [2022-11-23 01:29:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403
2022-11-23T01:32:31.5325098Z [2022-11-23 01:29:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5325448Z [2022-11-23 01:29:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5325709Z [2022-11-23 01:29:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:31.5326003Z [2022-11-23 01:29:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5326339Z [2022-11-23 01:29:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5326640Z [2022-11-23 01:29:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:31.5327096Z [2022-11-23 01:29:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5327503Z [2022-11-23 01:29:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5327950Z [2022-11-23 01:29:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5328538Z [2022-11-23 01:29:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5329011Z [2022-11-23 01:29:49,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:31.5329525Z [2022-11-23 01:29:49,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:31.5329843Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5330200Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5330443Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T01:32:31.5330757Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404
2022-11-23T01:32:31.5330971Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5331209Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.5331480Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5331777Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5332151Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5332537Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5332911Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5333321Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5333574Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5333961Z [2022-11-23 01:29:49,736] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396>
2022-11-23T01:32:31.5334215Z [2022-11-23 01:29:49,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5334456Z [2022-11-23 01:29:49,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5334710Z [2022-11-23 01:29:49,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5334968Z [2022-11-23 01:29:49,749] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5335165Z [2022-11-23 01:29:49,750] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5335308Z  __compiled_fn_552 <eval_with_key>.3402 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5335406Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5335587Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5335718Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T01:32:31.5335901Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5336021Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T01:32:31.5336199Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5336328Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T01:32:31.5336502Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5336617Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T01:32:31.5336790Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5336905Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T01:32:31.5337073Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5337349Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:31.5337501Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T01:32:31.5337680Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5337949Z call_function, ones_like, <built-in method ones_like of type object at 0x7f209c394c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:31.5338101Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T01:32:31.5338285Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T01:32:31.5338292Z 
2022-11-23T01:32:31.5338625Z [2022-11-23 01:29:49,750] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5338727Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5338934Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5339031Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5339179Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5339275Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5339398Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5339484Z              12 RETURN_VALUE
2022-11-23T01:32:31.5339489Z 
2022-11-23T01:32:31.5339557Z  
2022-11-23T01:32:31.5339879Z [2022-11-23 01:29:49,750] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5339998Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_552)
2022-11-23T01:32:31.5340095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5340196Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5340280Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5340374Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5340487Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5340599Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5340691Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5340779Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5340888Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5340984Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5341066Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5341175Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5341270Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5341346Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5341455Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5341551Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.5341632Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.5341740Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5341837Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.5341923Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.5342024Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5342122Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:31.5342203Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.5342311Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5342408Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:31.5342490Z              52 BINARY_SUBSCR
2022-11-23T01:32:31.5342587Z              54 BUILD_TUPLE              7
2022-11-23T01:32:31.5342663Z              56 RETURN_VALUE
2022-11-23T01:32:31.5342680Z 
2022-11-23T01:32:31.5342740Z  
2022-11-23T01:32:31.5342931Z [2022-11-23 01:29:49,751] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5343009Z  - 
2022-11-23T01:32:31.5343137Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5343208Z             {
2022-11-23T01:32:31.5343355Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5343546Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5343674Z                 'obj_weakref': None
2022-11-23T01:32:31.5343901Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5343972Z             }
2022-11-23T01:32:31.5344043Z             
2022-11-23T01:32:31.5344120Z  - 
2022-11-23T01:32:31.5344251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5344314Z             {
2022-11-23T01:32:31.5344464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5344578Z                 'code': None,
2022-11-23T01:32:31.5344801Z                 'obj_weakref': <weakref at 0x7f1fd97ec220; to 'Tensor' at 0x7f1ff8152fc0>
2022-11-23T01:32:31.5345051Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5345122Z             }
2022-11-23T01:32:31.5345191Z             
2022-11-23T01:32:31.5345261Z  - 
2022-11-23T01:32:31.5345430Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5345519Z             {
2022-11-23T01:32:31.5345662Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5345839Z                 'code': ['___check_obj_id(model, 139780375602384)'],
2022-11-23T01:32:31.5345965Z                 'obj_weakref': None
2022-11-23T01:32:31.5346205Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5346275Z             }
2022-11-23T01:32:31.5346338Z             
2022-11-23T01:32:31.5346415Z  - 
2022-11-23T01:32:31.5346544Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5346614Z             {
2022-11-23T01:32:31.5346757Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5346982Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5347100Z                 'obj_weakref': None
2022-11-23T01:32:31.5347334Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5347409Z             }
2022-11-23T01:32:31.5347477Z             
2022-11-23T01:32:31.5347553Z  - 
2022-11-23T01:32:31.5347691Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5347760Z             {
2022-11-23T01:32:31.5347880Z                 'guard_types': None,
2022-11-23T01:32:31.5347994Z                 'code': None,
2022-11-23T01:32:31.5348119Z                 'obj_weakref': None
2022-11-23T01:32:31.5348247Z                 'guarded_class': None
2022-11-23T01:32:31.5348317Z             }
2022-11-23T01:32:31.5348388Z             
2022-11-23T01:32:31.5348464Z  - 
2022-11-23T01:32:31.5348595Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5348665Z             {
2022-11-23T01:32:31.5348792Z                 'guard_types': None,
2022-11-23T01:32:31.5348905Z                 'code': None,
2022-11-23T01:32:31.5349032Z                 'obj_weakref': None
2022-11-23T01:32:31.5349160Z                 'guarded_class': None
2022-11-23T01:32:31.5349235Z             }
2022-11-23T01:32:31.5349300Z             
2022-11-23T01:32:31.5349376Z  - 
2022-11-23T01:32:31.5349526Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:31.5349596Z             {
2022-11-23T01:32:31.5349747Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.5349916Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:31.5350033Z                 'obj_weakref': None
2022-11-23T01:32:31.5350327Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:31.5350415Z             }
2022-11-23T01:32:31.5350499Z             
2022-11-23T01:32:31.5350776Z [2022-11-23 01:29:49,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 540
2022-11-23T01:32:31.5351286Z [2022-11-23 01:29:49,823] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6')]
2022-11-23T01:32:31.5351658Z [2022-11-23 01:29:49,918] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wd/cwdcsnqmdiu5yfqltl3ldn2yfk63fhxnjkax6r45clb3zh6zsvck.py
2022-11-23T01:32:31.5351926Z [2022-11-23 01:29:49,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 540
2022-11-23T01:32:31.5351933Z 
2022-11-23T01:32:31.5352035Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5352103Z import torch
2022-11-23T01:32:31.5352178Z import random
2022-11-23T01:32:31.5352300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5352431Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5352436Z 
2022-11-23T01:32:31.5352520Z aten = torch.ops.aten
2022-11-23T01:32:31.5352662Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5352760Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5352808Z 
2022-11-23T01:32:31.5352885Z import triton
2022-11-23T01:32:31.5352993Z import triton.language as tl
2022-11-23T01:32:31.5353122Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5353268Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5353274Z 
2022-11-23T01:32:31.5353278Z 
2022-11-23T01:32:31.5353590Z triton_fused_lift_fresh_copy_2_log_add_1_add_8_add_5_ones_like_add_6_lift_fresh_copy_minimum_1_lift_fresh_copy_10 = async_compile.triton('''
2022-11-23T01:32:31.5353667Z import triton
2022-11-23T01:32:31.5353762Z import triton.language as tl
2022-11-23T01:32:31.5353881Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5353984Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5354114Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5354245Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5354250Z 
2022-11-23T01:32:31.5354721Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: '*fp32', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8), equal_to_1=())]})
2022-11-23T01:32:31.5354799Z @triton.jit
2022-11-23T01:32:31.5354990Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5355067Z     xnumel = 64
2022-11-23T01:32:31.5355167Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5355300Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5355379Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5355452Z     x0 = xindex
2022-11-23T01:32:31.5355551Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5355623Z     tmp1 = 1
2022-11-23T01:32:31.5355705Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.5355776Z     tmp3 = 3
2022-11-23T01:32:31.5355854Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.5355924Z     tmp5 = 0.0
2022-11-23T01:32:31.5356023Z     tmp6 = tl.maximum(tmp4, tmp5)
2022-11-23T01:32:31.5356099Z     tmp7 = 6.0
2022-11-23T01:32:31.5356195Z     tmp8 = tl.minimum(tmp6, tmp7)
2022-11-23T01:32:31.5356276Z     tmp9 = tmp2 * tmp8
2022-11-23T01:32:31.5356349Z     tmp10 = 6
2022-11-23T01:32:31.5356425Z     tmp11 = tmp9 / tmp10
2022-11-23T01:32:31.5356529Z     tmp12 = -1.0
2022-11-23T01:32:31.5356626Z     tmp13 = tl.maximum(tmp2, tmp12)
2022-11-23T01:32:31.5356700Z     tmp14 = 1.0
2022-11-23T01:32:31.5356797Z     tmp15 = tl.minimum(tmp13, tmp14)
2022-11-23T01:32:31.5356870Z     tmp16 = 0
2022-11-23T01:32:31.5356953Z     tmp17 = tmp2 > tmp16
2022-11-23T01:32:31.5357021Z     tmp18 = 0.01
2022-11-23T01:32:31.5357103Z     tmp19 = tmp2 * tmp18
2022-11-23T01:32:31.5357205Z     tmp20 = tl.where(tmp17, tmp2, tmp19)
2022-11-23T01:32:31.5357299Z     tmp21 = tl.sigmoid(tmp2)
2022-11-23T01:32:31.5357380Z     tmp22 = tmp2 * tmp21
2022-11-23T01:32:31.5357454Z     tmp23 = 99.0
2022-11-23T01:32:31.5357558Z     tmp24 = tl.where(tmp16, tmp23, tmp2)
2022-11-23T01:32:31.5357652Z     tmp25 = tl.where(tmp1, tmp23, tmp2)
2022-11-23T01:32:31.5357733Z     tmp26 = tmp2 + tmp1
2022-11-23T01:32:31.5357818Z     tmp27 = tl.log(tmp26)
2022-11-23T01:32:31.5357962Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.5358101Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.5358235Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp20, xmask)
2022-11-23T01:32:31.5358368Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp22, xmask)
2022-11-23T01:32:31.5358491Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp24, xmask)
2022-11-23T01:32:31.5358620Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp25, xmask)
2022-11-23T01:32:31.5358749Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp27, xmask)
2022-11-23T01:32:31.5358838Z ''')
2022-11-23T01:32:31.5358844Z 
2022-11-23T01:32:31.5358875Z 
2022-11-23T01:32:31.5358990Z async_compile.wait(globals())
2022-11-23T01:32:31.5359070Z del async_compile
2022-11-23T01:32:31.5359076Z 
2022-11-23T01:32:31.5359153Z def call(args):
2022-11-23T01:32:31.5359228Z     arg0_1, = args
2022-11-23T01:32:31.5359298Z     args.clear()
2022-11-23T01:32:31.5359500Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5359697Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5359888Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5360079Z     buf3 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5360267Z     buf4 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5360455Z     buf5 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5360645Z     buf6 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5360731Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5360988Z     triton_fused_lift_fresh_copy_2_log_add_1_add_8_add_5_ones_like_add_6_lift_fresh_copy_minimum_1_lift_fresh_copy_10.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.5361063Z     del arg0_1
2022-11-23T01:32:31.5361178Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T01:32:31.5361183Z 
2022-11-23T01:32:31.5361188Z 
2022-11-23T01:32:31.5361272Z if __name__ == "__main__":
2022-11-23T01:32:31.5361396Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5361528Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5361726Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5361834Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5361847Z 
2022-11-23T01:32:31.5361851Z 
2022-11-23T01:32:31.5361950Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5362028Z import torch
2022-11-23T01:32:31.5362108Z import random
2022-11-23T01:32:31.5362231Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5362360Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5362365Z 
2022-11-23T01:32:31.5362450Z aten = torch.ops.aten
2022-11-23T01:32:31.5362592Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5362683Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5362688Z 
2022-11-23T01:32:31.5362763Z import triton
2022-11-23T01:32:31.5362859Z import triton.language as tl
2022-11-23T01:32:31.5362987Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5363131Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5363137Z 
2022-11-23T01:32:31.5363141Z 
2022-11-23T01:32:31.5363452Z triton_fused_maximum_zeros_like_where_2_add_7_convert_element_type_2_log_mul_convert_element_type_1_add_4_minimum0 = async_compile.triton('''
2022-11-23T01:32:31.5363531Z import triton
2022-11-23T01:32:31.5363629Z import triton.language as tl
2022-11-23T01:32:31.5363738Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5363845Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5363982Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5364111Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5364117Z 
2022-11-23T01:32:31.5364576Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: '*fp16', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8), equal_to_1=())]})
2022-11-23T01:32:31.5364652Z @triton.jit
2022-11-23T01:32:31.5364845Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5364923Z     xnumel = 64
2022-11-23T01:32:31.5365042Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5365197Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5365284Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5365357Z     x0 = xindex
2022-11-23T01:32:31.5365479Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5365552Z     tmp1 = 1
2022-11-23T01:32:31.5365633Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.5365716Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.5365789Z     tmp4 = 3
2022-11-23T01:32:31.5365870Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:31.5365945Z     tmp6 = 0.0
2022-11-23T01:32:31.5366040Z     tmp7 = tl.maximum(tmp5, tmp6)
2022-11-23T01:32:31.5366115Z     tmp8 = 6.0
2022-11-23T01:32:31.5366209Z     tmp9 = tl.minimum(tmp7, tmp8)
2022-11-23T01:32:31.5366284Z     tmp10 = tmp3 * tmp9
2022-11-23T01:32:31.5366359Z     tmp11 = 6
2022-11-23T01:32:31.5366443Z     tmp12 = tmp10 / tmp11
2022-11-23T01:32:31.5366536Z     tmp13 = tmp12.to(tl.float32)
2022-11-23T01:32:31.5366647Z     tmp14 = -1.0
2022-11-23T01:32:31.5366751Z     tmp15 = tl.maximum(tmp3, tmp14)
2022-11-23T01:32:31.5366824Z     tmp16 = 1.0
2022-11-23T01:32:31.5366913Z     tmp17 = tl.minimum(tmp15, tmp16)
2022-11-23T01:32:31.5367003Z     tmp18 = tmp17.to(tl.float32)
2022-11-23T01:32:31.5367075Z     tmp19 = 0
2022-11-23T01:32:31.5367158Z     tmp20 = tmp3 > tmp19
2022-11-23T01:32:31.5367233Z     tmp21 = 0.01
2022-11-23T01:32:31.5367314Z     tmp22 = tmp3 * tmp21
2022-11-23T01:32:31.5367408Z     tmp23 = tl.where(tmp20, tmp3, tmp22)
2022-11-23T01:32:31.5367499Z     tmp24 = tmp23.to(tl.float32)
2022-11-23T01:32:31.5367586Z     tmp25 = tl.sigmoid(tmp3)
2022-11-23T01:32:31.5367667Z     tmp26 = tmp3 * tmp25
2022-11-23T01:32:31.5367757Z     tmp27 = tmp26.to(tl.float32)
2022-11-23T01:32:31.5367832Z     tmp28 = 99.0
2022-11-23T01:32:31.5367933Z     tmp29 = tl.where(tmp19, tmp28, tmp2)
2022-11-23T01:32:31.5368024Z     tmp30 = tl.where(tmp1, tmp28, tmp2)
2022-11-23T01:32:31.5368105Z     tmp31 = tmp2 + tmp1
2022-11-23T01:32:31.5368192Z     tmp32 = tl.log(tmp31)
2022-11-23T01:32:31.5368333Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:31.5368468Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp18, xmask)
2022-11-23T01:32:31.5368599Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp24, xmask)
2022-11-23T01:32:31.5368731Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp27, xmask)
2022-11-23T01:32:31.5368853Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp29, xmask)
2022-11-23T01:32:31.5368983Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp30, xmask)
2022-11-23T01:32:31.5369112Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp32, xmask)
2022-11-23T01:32:31.5369199Z ''')
2022-11-23T01:32:31.5369205Z 
2022-11-23T01:32:31.5369209Z 
2022-11-23T01:32:31.5369305Z async_compile.wait(globals())
2022-11-23T01:32:31.5369385Z del async_compile
2022-11-23T01:32:31.5369390Z 
2022-11-23T01:32:31.5369471Z def call(args):
2022-11-23T01:32:31.5369546Z     arg0_1, = args
2022-11-23T01:32:31.5369619Z     args.clear()
2022-11-23T01:32:31.5369818Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370011Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370201Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370390Z     buf3 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370578Z     buf4 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370769Z     buf5 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5370957Z     buf6 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5371042Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5371331Z     triton_fused_maximum_zeros_like_where_2_add_7_convert_element_type_2_log_mul_convert_element_type_1_add_4_minimum0.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.5371438Z     del arg0_1
2022-11-23T01:32:31.5371554Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T01:32:31.5371559Z 
2022-11-23T01:32:31.5371563Z 
2022-11-23T01:32:31.5371651Z if __name__ == "__main__":
2022-11-23T01:32:31.5371774Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5371905Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5372105Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5372213Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5372226Z 
2022-11-23T01:32:31.5372292Z ok (0.584s)
2022-11-23T01:32:31.5372812Z   test_inplace_add_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.5372898Z   warnings.warn(
2022-11-23T01:32:31.5373141Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5373456Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3174
2022-11-23T01:32:31.5373672Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5373917Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:31.5374191Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:31.5374496Z [2022-11-23 01:29:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:31.5374740Z [2022-11-23 01:29:49,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5374976Z [2022-11-23 01:29:49,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5375219Z [2022-11-23 01:29:49,928] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5375513Z [2022-11-23 01:29:49,930] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.5375776Z [2022-11-23 01:29:49,930] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.5376016Z [2022-11-23 01:29:49,930] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5376211Z [2022-11-23 01:29:49,930] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5376355Z  __compiled_fn_553 <eval_with_key>.3405 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5376449Z placeholder, x, x, (), {}
2022-11-23T01:32:31.5376531Z placeholder, y, y, (), {}
2022-11-23T01:32:31.5376627Z call_method, add_, add_, (x, y), {}
2022-11-23T01:32:31.5376730Z output, output, output, ((add_,),), {}
2022-11-23T01:32:31.5376735Z 
2022-11-23T01:32:31.5377062Z [2022-11-23 01:29:49,931] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:31.5377163Z 3174           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5377266Z                2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:31.5377363Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5377453Z                6 CALL_METHOD              1
2022-11-23T01:32:31.5377539Z                8 RETURN_VALUE
2022-11-23T01:32:31.5377544Z 
2022-11-23T01:32:31.5377610Z  
2022-11-23T01:32:31.5377963Z [2022-11-23 01:29:49,931] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:31.5378100Z 3172           0 LOAD_GLOBAL              1 (__compiled_fn_553)
2022-11-23T01:32:31.5378198Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5378298Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5378396Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.5378488Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5378572Z               10 RETURN_VALUE
2022-11-23T01:32:31.5378577Z 
2022-11-23T01:32:31.5378642Z  
2022-11-23T01:32:31.5378948Z [2022-11-23 01:29:49,931] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5379029Z  - 
2022-11-23T01:32:31.5379164Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.5379233Z             {
2022-11-23T01:32:31.5379373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5379484Z                 'code': None,
2022-11-23T01:32:31.5379703Z                 'obj_weakref': <weakref at 0x7f1ff8160c20; to 'Tensor' at 0x7f206078aa70>
2022-11-23T01:32:31.5379957Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5380028Z             }
2022-11-23T01:32:31.5380098Z             
2022-11-23T01:32:31.5380174Z  - 
2022-11-23T01:32:31.5380291Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:31.5380361Z             {
2022-11-23T01:32:31.5380510Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5380623Z                 'code': None,
2022-11-23T01:32:31.5380836Z                 'obj_weakref': <weakref at 0x7f1ff8162840; to 'Tensor' at 0x7f1ff81611c0>
2022-11-23T01:32:31.5381084Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5381153Z             }
2022-11-23T01:32:31.5381215Z             
2022-11-23T01:32:31.5381288Z ok (0.010s)
2022-11-23T01:32:31.5381628Z   test_inplace_mixed_dtype_ops_cuda (__main__.CudaTests) ... [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5381957Z [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3188
2022-11-23T01:32:31.5382176Z [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5382419Z [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.5382698Z [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5383010Z [2022-11-23 01:29:49,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)]
2022-11-23T01:32:31.5383287Z [2022-11-23 01:29:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5383532Z [2022-11-23 01:29:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.5383842Z [2022-11-23 01:29:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3189
2022-11-23T01:32:31.5384057Z [2022-11-23 01:29:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.5384303Z [2022-11-23 01:29:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:31.5384583Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:31.5384894Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:31.5385183Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:31.5385501Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3190
2022-11-23T01:32:31.5385774Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w []
2022-11-23T01:32:31.5386022Z [2022-11-23 01:29:49,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()]
2022-11-23T01:32:31.5386291Z [2022-11-23 01:29:49,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)]
2022-11-23T01:32:31.5386602Z [2022-11-23 01:29:49,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()]
2022-11-23T01:32:31.5386855Z [2022-11-23 01:29:49,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5387098Z [2022-11-23 01:29:49,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5387346Z [2022-11-23 01:29:49,941] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5387590Z [2022-11-23 01:29:49,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5387787Z [2022-11-23 01:29:49,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5387930Z  __compiled_fn_554 <eval_with_key>.3411 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5388021Z placeholder, x, x, (), {}
2022-11-23T01:32:31.5388101Z placeholder, y, y, (), {}
2022-11-23T01:32:31.5388201Z call_method, float_1, float, (y,), {}
2022-11-23T01:32:31.5388386Z call_function, add, <built-in function add>, (x, float_1), {}
2022-11-23T01:32:31.5388483Z call_method, add_, add_, (add, y), {}
2022-11-23T01:32:31.5388582Z call_method, mul_, mul_, (add_, y), {}
2022-11-23T01:32:31.5388683Z output, output, output, ((mul_,),), {}
2022-11-23T01:32:31.5388689Z 
2022-11-23T01:32:31.5389023Z [2022-11-23 01:29:49,946] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:31.5389124Z 3188           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5389215Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5389316Z                4 LOAD_METHOD              0 (float)
2022-11-23T01:32:31.5389412Z                6 CALL_METHOD              0
2022-11-23T01:32:31.5389491Z                8 BINARY_ADD
2022-11-23T01:32:31.5389588Z               10 STORE_FAST               2 (z)
2022-11-23T01:32:31.5389593Z 
2022-11-23T01:32:31.5389690Z 3189          12 LOAD_FAST                2 (z)
2022-11-23T01:32:31.5389791Z               14 LOAD_METHOD              1 (add_)
2022-11-23T01:32:31.5389878Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5389972Z               18 CALL_METHOD              1
2022-11-23T01:32:31.5390069Z               20 STORE_FAST               3 (w)
2022-11-23T01:32:31.5390076Z 
2022-11-23T01:32:31.5390168Z 3190          22 LOAD_FAST                3 (w)
2022-11-23T01:32:31.5390353Z               24 LOAD_METHOD              2 (mul_)
2022-11-23T01:32:31.5390471Z               26 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5390566Z               28 CALL_METHOD              1
2022-11-23T01:32:31.5390649Z               30 RETURN_VALUE
2022-11-23T01:32:31.5390654Z 
2022-11-23T01:32:31.5390714Z  
2022-11-23T01:32:31.5391048Z [2022-11-23 01:29:49,946] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:31.5391167Z 3186           0 LOAD_GLOBAL              3 (__compiled_fn_554)
2022-11-23T01:32:31.5391262Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5391357Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5391454Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.5391588Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5391664Z               10 RETURN_VALUE
2022-11-23T01:32:31.5391701Z 
2022-11-23T01:32:31.5391760Z  
2022-11-23T01:32:31.5391957Z [2022-11-23 01:29:49,947] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5392033Z  - 
2022-11-23T01:32:31.5392160Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.5392230Z             {
2022-11-23T01:32:31.5392380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5392486Z                 'code': None,
2022-11-23T01:32:31.5392705Z                 'obj_weakref': <weakref at 0x7f1ff8145850; to 'Tensor' at 0x7f1ff8160900>
2022-11-23T01:32:31.5392959Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5393031Z             }
2022-11-23T01:32:31.5393100Z             
2022-11-23T01:32:31.5393177Z  - 
2022-11-23T01:32:31.5393303Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:31.5393366Z             {
2022-11-23T01:32:31.5393517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5393632Z                 'code': None,
2022-11-23T01:32:31.5393846Z                 'obj_weakref': <weakref at 0x7f1ff81473d0; to 'Tensor' at 0x7f1ff81611c0>
2022-11-23T01:32:31.5394093Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5394164Z             }
2022-11-23T01:32:31.5394234Z             
2022-11-23T01:32:31.5394498Z [2022-11-23 01:29:49,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 541
2022-11-23T01:32:31.5394790Z [2022-11-23 01:29:49,963] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5395153Z [2022-11-23 01:29:50,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3q/c3qv5iikpxg2hgpj43p7fe4dubiyc6kzzutnshdw25r3vchmkahp.py
2022-11-23T01:32:31.5395426Z [2022-11-23 01:29:50,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 541
2022-11-23T01:32:31.5395434Z 
2022-11-23T01:32:31.5395536Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5395612Z import torch
2022-11-23T01:32:31.5395689Z import random
2022-11-23T01:32:31.5395812Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5395940Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5395945Z 
2022-11-23T01:32:31.5396023Z aten = torch.ops.aten
2022-11-23T01:32:31.5396165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5396266Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5396271Z 
2022-11-23T01:32:31.5396346Z import triton
2022-11-23T01:32:31.5396442Z import triton.language as tl
2022-11-23T01:32:31.5396571Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5396716Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5396722Z 
2022-11-23T01:32:31.5396726Z 
2022-11-23T01:32:31.5396919Z triton_fused__to_copy_add_mul__add_0 = async_compile.triton('''
2022-11-23T01:32:31.5396991Z import triton
2022-11-23T01:32:31.5397085Z import triton.language as tl
2022-11-23T01:32:31.5397205Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5397308Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5397447Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5397576Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5397581Z 
2022-11-23T01:32:31.5397972Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5398047Z @triton.jit
2022-11-23T01:32:31.5398188Z def kernel(in_out_ptr0, in_ptr0, in_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5398264Z     xnumel = 16
2022-11-23T01:32:31.5398365Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5398533Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5398639Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5398711Z     x0 = xindex
2022-11-23T01:32:31.5398815Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5398907Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.5398998Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.5399081Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.5399170Z     tmp4 = tmp3.to(tl.float64)
2022-11-23T01:32:31.5399251Z     tmp5 = tmp4 + tmp1
2022-11-23T01:32:31.5399340Z     tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:31.5399428Z     tmp7 = tmp6.to(tl.float64)
2022-11-23T01:32:31.5399501Z     tmp8 = tmp7 * tmp1
2022-11-23T01:32:31.5399588Z     tmp9 = tmp8.to(tl.float32)
2022-11-23T01:32:31.5399734Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.5399823Z ''')
2022-11-23T01:32:31.5399829Z 
2022-11-23T01:32:31.5399833Z 
2022-11-23T01:32:31.5399930Z async_compile.wait(globals())
2022-11-23T01:32:31.5400010Z del async_compile
2022-11-23T01:32:31.5400015Z 
2022-11-23T01:32:31.5400091Z def call(args):
2022-11-23T01:32:31.5400166Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5400244Z     args.clear()
2022-11-23T01:32:31.5400443Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5400536Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.5400629Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5400796Z     triton_fused__to_copy_add_mul__add_0.run(buf1, arg0_1, arg1_1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.5400873Z     del arg0_1
2022-11-23T01:32:31.5400946Z     del arg1_1
2022-11-23T01:32:31.5401016Z     return (buf1, )
2022-11-23T01:32:31.5401022Z 
2022-11-23T01:32:31.5401026Z 
2022-11-23T01:32:31.5401107Z if __name__ == "__main__":
2022-11-23T01:32:31.5401230Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5401362Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5401563Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5401764Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.5401887Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5401892Z 
2022-11-23T01:32:31.5401965Z ok (0.269s)
2022-11-23T01:32:31.5402276Z   test_input_mutation1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5402592Z [2022-11-23 01:29:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3216
2022-11-23T01:32:31.5402809Z [2022-11-23 01:29:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5403051Z [2022-11-23 01:29:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.5403337Z [2022-11-23 01:29:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5403575Z [2022-11-23 01:29:50,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:31.5403893Z [2022-11-23 01:29:50,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3217
2022-11-23T01:32:31.5404109Z [2022-11-23 01:29:50,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5404359Z [2022-11-23 01:29:50,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:31.5404632Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:31.5404976Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:31.5405223Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.5405558Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3218
2022-11-23T01:32:31.5405771Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5406016Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5406302Z [2022-11-23 01:29:50,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5406543Z [2022-11-23 01:29:50,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:31.5406863Z [2022-11-23 01:29:50,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3219
2022-11-23T01:32:31.5407078Z [2022-11-23 01:29:50,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5407316Z [2022-11-23 01:29:50,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.5407602Z [2022-11-23 01:29:50,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5407839Z [2022-11-23 01:29:50,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:31.5408130Z [2022-11-23 01:29:50,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5408383Z [2022-11-23 01:29:50,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5408625Z [2022-11-23 01:29:50,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5408878Z [2022-11-23 01:29:50,209] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5409181Z [2022-11-23 01:29:50,212] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.5409451Z [2022-11-23 01:29:50,212] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.5409688Z [2022-11-23 01:29:50,212] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5409882Z [2022-11-23 01:29:50,212] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5410027Z  __compiled_fn_555 <eval_with_key>.3414 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5410116Z placeholder, a, a, (), {}
2022-11-23T01:32:31.5410289Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:31.5410394Z call_method, copy_, copy_, (a, add), {}
2022-11-23T01:32:31.5410569Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:31.5410740Z call_function, mul, <built-in function mul>, (a, add), {}
2022-11-23T01:32:31.5410928Z call_function, truediv, <built-in function truediv>, (mul, add_1), {}
2022-11-23T01:32:31.5411039Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:31.5411045Z 
2022-11-23T01:32:31.5411373Z [2022-11-23 01:29:50,213] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:31.5411474Z 3216           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5411576Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5411657Z                4 BINARY_ADD
2022-11-23T01:32:31.5411753Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:31.5411758Z 
2022-11-23T01:32:31.5411856Z 3217           8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5411954Z               10 LOAD_METHOD              0 (copy_)
2022-11-23T01:32:31.5412078Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5412178Z               14 CALL_METHOD              1
2022-11-23T01:32:31.5412281Z               16 POP_TOP
2022-11-23T01:32:31.5412287Z 
2022-11-23T01:32:31.5412382Z 3218          18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5412478Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:31.5412557Z               22 BINARY_ADD
2022-11-23T01:32:31.5412645Z               24 STORE_FAST               2 (c)
2022-11-23T01:32:31.5412658Z 
2022-11-23T01:32:31.5412744Z 3219          26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5412837Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5412925Z               30 BINARY_MULTIPLY
2022-11-23T01:32:31.5413019Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:31.5413109Z               34 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.5413193Z               36 RETURN_VALUE
2022-11-23T01:32:31.5413199Z 
2022-11-23T01:32:31.5413266Z  
2022-11-23T01:32:31.5413592Z [2022-11-23 01:29:50,213] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:31.5413713Z 3215           0 LOAD_GLOBAL              1 (__compiled_fn_555)
2022-11-23T01:32:31.5413808Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5413907Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.5414007Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5414090Z                8 RETURN_VALUE
2022-11-23T01:32:31.5414095Z 
2022-11-23T01:32:31.5414164Z  
2022-11-23T01:32:31.5414343Z [2022-11-23 01:29:50,213] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5414421Z  - 
2022-11-23T01:32:31.5414548Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.5414620Z             {
2022-11-23T01:32:31.5414772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5414885Z                 'code': None,
2022-11-23T01:32:31.5415104Z                 'obj_weakref': <weakref at 0x7f20233cb8d0; to 'Tensor' at 0x7f21159858a0>
2022-11-23T01:32:31.5415359Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5415423Z             }
2022-11-23T01:32:31.5415494Z             
2022-11-23T01:32:31.5415567Z ok (0.013s)
2022-11-23T01:32:31.5415887Z   test_input_mutation2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5416200Z [2022-11-23 01:29:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3239
2022-11-23T01:32:31.5416415Z [2022-11-23 01:29:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5416656Z [2022-11-23 01:29:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.5416940Z [2022-11-23 01:29:50,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5417170Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:31.5417486Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3240
2022-11-23T01:32:31.5417699Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5417948Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:31.5418229Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:31.5418551Z [2022-11-23 01:29:50,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:31.5418977Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:31.5419310Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:31.5419748Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5420141Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5420563Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.5420960Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:31.5421401Z [2022-11-23 01:29:50,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.5421854Z [2022-11-23 01:29:50,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:31.5422343Z [2022-11-23 01:29:50,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:31.5422656Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:31.5422899Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.5423212Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3241
2022-11-23T01:32:31.5423427Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5423669Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5423950Z [2022-11-23 01:29:50,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5424191Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:31.5424512Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3242
2022-11-23T01:32:31.5424721Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:31.5424965Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:31.5425238Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5425491Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5425730Z [2022-11-23 01:29:50,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5426004Z [2022-11-23 01:29:50,223] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5426309Z [2022-11-23 01:29:50,226] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.5426599Z [2022-11-23 01:29:50,226] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.5426844Z [2022-11-23 01:29:50,226] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5427034Z [2022-11-23 01:29:50,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5427179Z  __compiled_fn_556 <eval_with_key>.3417 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5427269Z placeholder, a, a, (), {}
2022-11-23T01:32:31.5427441Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:31.5427539Z call_method, view, view, (a, 64), {}
2022-11-23T01:32:31.5427832Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([66.0],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:31.5427946Z call_method, copy_, copy_, (view, tensor), {}
2022-11-23T01:32:31.5428124Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:31.5428227Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:31.5428233Z 
2022-11-23T01:32:31.5428559Z [2022-11-23 01:29:50,227] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:31.5428658Z 3239           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5428757Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5428838Z                4 BINARY_ADD
2022-11-23T01:32:31.5428935Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:31.5428940Z 
2022-11-23T01:32:31.5429035Z 3240           8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5429138Z               10 LOAD_METHOD              0 (view)
2022-11-23T01:32:31.5429230Z               12 LOAD_CONST               2 (64)
2022-11-23T01:32:31.5429329Z               14 CALL_METHOD              1
2022-11-23T01:32:31.5429436Z               16 LOAD_METHOD              1 (copy_)
2022-11-23T01:32:31.5429536Z               18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.5429636Z               20 LOAD_ATTR                3 (tensor)
2022-11-23T01:32:31.5429735Z               22 LOAD_CONST               3 (66.0)
2022-11-23T01:32:31.5429830Z               24 BUILD_LIST               1
2022-11-23T01:32:31.5429919Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5430020Z               28 LOAD_ATTR                4 (device)
2022-11-23T01:32:31.5430175Z               30 LOAD_CONST               4 (('device',))
2022-11-23T01:32:31.5430337Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5430433Z               34 CALL_METHOD              1
2022-11-23T01:32:31.5430514Z               36 POP_TOP
2022-11-23T01:32:31.5430519Z 
2022-11-23T01:32:31.5430619Z 3241          38 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5430719Z               40 LOAD_CONST               5 (2)
2022-11-23T01:32:31.5430795Z               42 BINARY_ADD
2022-11-23T01:32:31.5430894Z               44 STORE_FAST               2 (c)
2022-11-23T01:32:31.5430899Z 
2022-11-23T01:32:31.5430992Z 3242          46 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5431086Z               48 LOAD_FAST                2 (c)
2022-11-23T01:32:31.5431183Z               50 BUILD_TUPLE              2
2022-11-23T01:32:31.5431266Z               52 RETURN_VALUE
2022-11-23T01:32:31.5431272Z 
2022-11-23T01:32:31.5431339Z  
2022-11-23T01:32:31.5431668Z [2022-11-23 01:29:50,227] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:31.5431785Z 3238           0 LOAD_GLOBAL              5 (__compiled_fn_556)
2022-11-23T01:32:31.5431881Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5431981Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.5432124Z                6 STORE_FAST               3 (___graph_out_0)
2022-11-23T01:32:31.5432255Z                8 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:31.5432351Z               10 LOAD_CONST               6 (0)
2022-11-23T01:32:31.5432435Z               12 BINARY_SUBSCR
2022-11-23T01:32:31.5432537Z               14 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:31.5432632Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5432717Z               18 BINARY_SUBSCR
2022-11-23T01:32:31.5432812Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.5432897Z               22 RETURN_VALUE
2022-11-23T01:32:31.5432902Z 
2022-11-23T01:32:31.5432969Z  
2022-11-23T01:32:31.5433163Z [2022-11-23 01:29:50,227] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5433233Z  - 
2022-11-23T01:32:31.5433357Z             local 'a' TYPE_MATCH
2022-11-23T01:32:31.5433427Z             {
2022-11-23T01:32:31.5433574Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.5433747Z                 'code': ['___check_type_id(a, 94768375983968)'],
2022-11-23T01:32:31.5433966Z                 'obj_weakref': <weakref at 0x7f2068242a70; to 'Tensor' at 0x7f21159e9bc0>
2022-11-23T01:32:31.5434224Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5434287Z             }
2022-11-23T01:32:31.5434357Z             
2022-11-23T01:32:31.5434436Z  - 
2022-11-23T01:32:31.5434563Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.5434634Z             {
2022-11-23T01:32:31.5434785Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5434899Z                 'code': None,
2022-11-23T01:32:31.5435101Z                 'obj_weakref': <weakref at 0x7f2068242a70; to 'Tensor' at 0x7f21159e9bc0>
2022-11-23T01:32:31.5435350Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5435424Z             }
2022-11-23T01:32:31.5435494Z             
2022-11-23T01:32:31.5435574Z  - 
2022-11-23T01:32:31.5435715Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5435785Z             {
2022-11-23T01:32:31.5435905Z                 'guard_types': None,
2022-11-23T01:32:31.5436021Z                 'code': None,
2022-11-23T01:32:31.5436148Z                 'obj_weakref': None
2022-11-23T01:32:31.5436276Z                 'guarded_class': None
2022-11-23T01:32:31.5436346Z             }
2022-11-23T01:32:31.5436417Z             
2022-11-23T01:32:31.5436490Z ok (0.014s)
2022-11-23T01:32:31.5436806Z   test_input_mutation3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5437129Z [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3256
2022-11-23T01:32:31.5437350Z [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5437599Z [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.5437892Z [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5438138Z [2022-11-23 01:29:50,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5438452Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3257
2022-11-23T01:32:31.5438666Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5438906Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5439232Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5439494Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5439805Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3258
2022-11-23T01:32:31.5440031Z [2022-11-23 01:29:50,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5440346Z [2022-11-23 01:29:50,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5440610Z [2022-11-23 01:29:50,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)]
2022-11-23T01:32:31.5440906Z [2022-11-23 01:29:50,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()]
2022-11-23T01:32:31.5441156Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.5441476Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3259
2022-11-23T01:32:31.5441691Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5441930Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:31.5442212Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:31.5442530Z [2022-11-23 01:29:50,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:31.5442771Z [2022-11-23 01:29:50,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5443088Z [2022-11-23 01:29:50,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3260
2022-11-23T01:32:31.5443306Z [2022-11-23 01:29:50,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5443550Z [2022-11-23 01:29:50,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:31.5443840Z [2022-11-23 01:29:50,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5444081Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5444391Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3261
2022-11-23T01:32:31.5444596Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5444838Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:31.5445140Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5445381Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:31.5445697Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3262
2022-11-23T01:32:31.5445918Z [2022-11-23 01:29:50,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5446228Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5446486Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)]
2022-11-23T01:32:31.5446802Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()]
2022-11-23T01:32:31.5447059Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.5447371Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3263
2022-11-23T01:32:31.5447586Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5447839Z [2022-11-23 01:29:50,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5448076Z [2022-11-23 01:29:50,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5448323Z [2022-11-23 01:29:50,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5448629Z [2022-11-23 01:29:50,251] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.5448899Z [2022-11-23 01:29:50,251] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.5449142Z [2022-11-23 01:29:50,251] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5449340Z [2022-11-23 01:29:50,252] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5449476Z  __compiled_fn_557 <eval_with_key>.3420 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5449567Z placeholder, a, a, (), {}
2022-11-23T01:32:31.5449745Z call_function, iadd, <built-in function iadd>, (a, 1), {}
2022-11-23T01:32:31.5449927Z call_function, imul, <built-in function imul>, (iadd, 2), {}
2022-11-23T01:32:31.5450051Z call_function, sigmoid_, aten.sigmoid_, (imul,), {}
2022-11-23T01:32:31.5450151Z call_method, view, view, (imul, 64), {}
2022-11-23T01:32:31.5450340Z call_function, iadd_1, <built-in function iadd>, (view, 3), {}
2022-11-23T01:32:31.5450522Z call_function, imul_1, <built-in function imul>, (iadd_1, 4), {}
2022-11-23T01:32:31.5450636Z call_function, relu_, aten.relu_, (imul_1,), {}
2022-11-23T01:32:31.5450740Z output, output, output, ((imul_1,),), {}
2022-11-23T01:32:31.5450746Z 
2022-11-23T01:32:31.5451078Z [2022-11-23 01:29:50,252] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:31.5451177Z 3256           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5451276Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5451359Z                4 INPLACE_ADD
2022-11-23T01:32:31.5451457Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:31.5451462Z 
2022-11-23T01:32:31.5451553Z 3257           8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5451650Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:31.5451743Z               12 INPLACE_MULTIPLY
2022-11-23T01:32:31.5451840Z               14 STORE_FAST               0 (a)
2022-11-23T01:32:31.5451847Z 
2022-11-23T01:32:31.5451949Z 3258          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5452055Z               18 LOAD_METHOD              1 (sigmoid_)
2022-11-23T01:32:31.5452151Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5452247Z               22 CALL_METHOD              1
2022-11-23T01:32:31.5452320Z               24 POP_TOP
2022-11-23T01:32:31.5452325Z 
2022-11-23T01:32:31.5452421Z 3259          26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5452522Z               28 LOAD_METHOD              2 (view)
2022-11-23T01:32:31.5452620Z               30 LOAD_CONST               3 (64)
2022-11-23T01:32:31.5452716Z               32 CALL_METHOD              1
2022-11-23T01:32:31.5452813Z               34 STORE_FAST               0 (a)
2022-11-23T01:32:31.5452818Z 
2022-11-23T01:32:31.5452913Z 3260          36 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5453031Z               38 LOAD_CONST               4 (3)
2022-11-23T01:32:31.5453133Z               40 INPLACE_ADD
2022-11-23T01:32:31.5453230Z               42 STORE_FAST               0 (a)
2022-11-23T01:32:31.5453235Z 
2022-11-23T01:32:31.5453328Z 3261          44 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5453422Z               46 LOAD_CONST               5 (4)
2022-11-23T01:32:31.5453511Z               48 INPLACE_MULTIPLY
2022-11-23T01:32:31.5453606Z               50 STORE_FAST               0 (a)
2022-11-23T01:32:31.5453611Z 
2022-11-23T01:32:31.5453711Z 3262          52 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5453804Z               54 LOAD_METHOD              3 (relu_)
2022-11-23T01:32:31.5453899Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5453994Z               58 CALL_METHOD              1
2022-11-23T01:32:31.5454073Z               60 POP_TOP
2022-11-23T01:32:31.5454078Z 
2022-11-23T01:32:31.5454171Z 3263          62 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5454256Z               64 RETURN_VALUE
2022-11-23T01:32:31.5454263Z 
2022-11-23T01:32:31.5454331Z  
2022-11-23T01:32:31.5454667Z [2022-11-23 01:29:50,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:31.5454778Z 3255           0 LOAD_GLOBAL              4 (__compiled_fn_557)
2022-11-23T01:32:31.5454876Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5454972Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.5455071Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5455155Z                8 RETURN_VALUE
2022-11-23T01:32:31.5455160Z 
2022-11-23T01:32:31.5455227Z  
2022-11-23T01:32:31.5455415Z [2022-11-23 01:29:50,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5455485Z  - 
2022-11-23T01:32:31.5455611Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.5455683Z             {
2022-11-23T01:32:31.5455835Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5455951Z                 'code': None,
2022-11-23T01:32:31.5456167Z                 'obj_weakref': <weakref at 0x7f2022eb80e0; to 'Tensor' at 0x7f2154fcfa10>
2022-11-23T01:32:31.5456428Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5456492Z             }
2022-11-23T01:32:31.5456565Z             
2022-11-23T01:32:31.5456641Z  - 
2022-11-23T01:32:31.5456779Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5456850Z             {
2022-11-23T01:32:31.5456978Z                 'guard_types': None,
2022-11-23T01:32:31.5457095Z                 'code': None,
2022-11-23T01:32:31.5457213Z                 'obj_weakref': None
2022-11-23T01:32:31.5457341Z                 'guarded_class': None
2022-11-23T01:32:31.5457411Z             }
2022-11-23T01:32:31.5457481Z             
2022-11-23T01:32:31.5457554Z ok (0.025s)
2022-11-23T01:32:31.5457875Z   test_input_mutation4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.5458195Z [2022-11-23 01:29:50,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3276
2022-11-23T01:32:31.5458423Z [2022-11-23 01:29:50,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5458902Z [2022-11-23 01:29:50,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5459231Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu_ of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5459639Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.5459888Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:31.5460230Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3277
2022-11-23T01:32:31.5460450Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.5460705Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5460946Z [2022-11-23 01:29:50,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.5461196Z [2022-11-23 01:29:50,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.5461499Z [2022-11-23 01:29:50,258] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:31.5461761Z [2022-11-23 01:29:50,258] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:31.5462009Z [2022-11-23 01:29:50,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.5462208Z [2022-11-23 01:29:50,258] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5462353Z  __compiled_fn_558 <eval_with_key>.3423 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5462442Z placeholder, a, a, (), {}
2022-11-23T01:32:31.5462671Z call_function, relu_, <built-in method relu_ of type object at 0x7f209c394c60>, (a,), {}
2022-11-23T01:32:31.5462771Z output, output, output, ((a,),), {}
2022-11-23T01:32:31.5462777Z 
2022-11-23T01:32:31.5463105Z [2022-11-23 01:29:50,258] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:31.5463202Z 3276           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5463305Z                2 LOAD_METHOD              1 (relu_)
2022-11-23T01:32:31.5463407Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5463505Z                6 CALL_METHOD              1
2022-11-23T01:32:31.5463586Z                8 POP_TOP
2022-11-23T01:32:31.5463592Z 
2022-11-23T01:32:31.5463689Z 3277          10 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5463772Z               12 RETURN_VALUE
2022-11-23T01:32:31.5463778Z 
2022-11-23T01:32:31.5463844Z  
2022-11-23T01:32:31.5464154Z [2022-11-23 01:29:50,258] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:31.5464271Z 3275           0 LOAD_GLOBAL              2 (__compiled_fn_558)
2022-11-23T01:32:31.5464368Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5464465Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.5464565Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5464651Z                8 RETURN_VALUE
2022-11-23T01:32:31.5464658Z 
2022-11-23T01:32:31.5464724Z  
2022-11-23T01:32:31.5464910Z [2022-11-23 01:29:50,259] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5464980Z  - 
2022-11-23T01:32:31.5465107Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.5465178Z             {
2022-11-23T01:32:31.5465326Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5465440Z                 'code': None,
2022-11-23T01:32:31.5465654Z                 'obj_weakref': <weakref at 0x7f2072829ee0; to 'Tensor' at 0x7f21279db510>
2022-11-23T01:32:31.5465907Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5465971Z             }
2022-11-23T01:32:31.5466042Z             
2022-11-23T01:32:31.5466118Z  - 
2022-11-23T01:32:31.5466257Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5466327Z             {
2022-11-23T01:32:31.5466482Z                 'guard_types': None,
2022-11-23T01:32:31.5466599Z                 'code': None,
2022-11-23T01:32:31.5466745Z                 'obj_weakref': None
2022-11-23T01:32:31.5466872Z                 'guarded_class': None
2022-11-23T01:32:31.5466941Z             }
2022-11-23T01:32:31.5467010Z             
2022-11-23T01:32:31.5467087Z ok (0.006s)
2022-11-23T01:32:31.5467420Z   test_invalid_operand_issue1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5467737Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5467950Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5468209Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5468490Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5468811Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5469158Z [2022-11-23 01:29:50,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5469481Z [2022-11-23 01:29:50,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5469862Z [2022-11-23 01:29:50,514] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466> 
2022-11-23T01:32:31.5469972Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5470077Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5470178Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5470356Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5470474Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5470480Z 
2022-11-23T01:32:31.5470599Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T01:32:31.5470699Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T01:32:31.5470801Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5470897Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5471005Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5471010Z 
2022-11-23T01:32:31.5471106Z 4467          20 CALL_METHOD              5
2022-11-23T01:32:31.5471210Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T01:32:31.5471216Z 
2022-11-23T01:32:31.5471314Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5471414Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5471518Z               28 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5471626Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5471729Z               32 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5471734Z 
2022-11-23T01:32:31.5471835Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T01:32:31.5471945Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T01:32:31.5472033Z               38 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5472129Z               40 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5472234Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5472240Z 
2022-11-23T01:32:31.5472336Z 4470          44 CALL_METHOD              5
2022-11-23T01:32:31.5472449Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T01:32:31.5472454Z 
2022-11-23T01:32:31.5472586Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5472700Z               50 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5472801Z               52 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5472891Z               54 LOAD_ATTR                5 (slice)
2022-11-23T01:32:31.5472994Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T01:32:31.5472999Z 
2022-11-23T01:32:31.5473113Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:31.5473208Z               60 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5473303Z               62 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5473410Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5473416Z 
2022-11-23T01:32:31.5473511Z 4473          66 CALL_METHOD              4
2022-11-23T01:32:31.5473613Z               68 STORE_FAST               8 (slice_2)
2022-11-23T01:32:31.5473618Z 
2022-11-23T01:32:31.5473711Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5473809Z               72 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5473907Z               74 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5474018Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T01:32:31.5474121Z               78 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5474126Z 
2022-11-23T01:32:31.5474226Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T01:32:31.5474324Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T01:32:31.5474420Z               84 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5474509Z               86 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5474514Z 
2022-11-23T01:32:31.5474609Z 4476          88 CALL_METHOD              4
2022-11-23T01:32:31.5474721Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T01:32:31.5474727Z 
2022-11-23T01:32:31.5474829Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5474929Z               94 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5475030Z               96 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5475139Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5475234Z              100 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5475246Z 
2022-11-23T01:32:31.5475351Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:31.5475459Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T01:32:31.5475554Z              106 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5475649Z              108 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5475757Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5475762Z 
2022-11-23T01:32:31.5475859Z 4479         112 CALL_METHOD              5
2022-11-23T01:32:31.5475971Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T01:32:31.5475976Z 
2022-11-23T01:32:31.5476082Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5476175Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5476274Z              120 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5476370Z              122 LOAD_ATTR                8 (view)
2022-11-23T01:32:31.5476470Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5476580Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T01:32:31.5476728Z              128 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.5476826Z              130 LOAD_CONST               5 (128)
2022-11-23T01:32:31.5476912Z              132 BUILD_LIST               2
2022-11-23T01:32:31.5477008Z              134 CALL_METHOD              2
2022-11-23T01:32:31.5477105Z              136 STORE_FAST              11 (view)
2022-11-23T01:32:31.5477111Z 
2022-11-23T01:32:31.5477210Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5477333Z              140 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5477432Z              142 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5477564Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T01:32:31.5477668Z              146 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5477760Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:31.5477856Z              150 LOAD_FAST               11 (view)
2022-11-23T01:32:31.5477950Z              152 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5478044Z              154 CALL_METHOD              3
2022-11-23T01:32:31.5478150Z              156 STORE_FAST              12 (embedding)
2022-11-23T01:32:31.5478155Z 
2022-11-23T01:32:31.5478258Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T01:32:31.5478357Z              160 LOAD_FAST                4 (view_1)
2022-11-23T01:32:31.5478444Z              162 BUILD_LIST               2
2022-11-23T01:32:31.5478525Z              164 RETURN_VALUE
2022-11-23T01:32:31.5478591Z  
2022-11-23T01:32:31.5478598Z 
2022-11-23T01:32:31.5478920Z [2022-11-23 01:29:50,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:31.5479144Z [2022-11-23 01:29:50,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5479509Z [2022-11-23 01:29:50,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5479803Z [2022-11-23 01:29:50,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5480123Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5480398Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5480712Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468
2022-11-23T01:32:31.5480998Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5481311Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5481642Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5482006Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5482431Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5482741Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:31.5483185Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5483447Z [2022-11-23 01:29:50,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T01:32:31.5483755Z [2022-11-23 01:29:50,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:31.5484006Z [2022-11-23 01:29:50,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5484388Z [2022-11-23 01:29:50,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5484685Z [2022-11-23 01:29:50,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5484992Z [2022-11-23 01:29:50,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5485264Z [2022-11-23 01:29:50,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5485570Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471
2022-11-23T01:32:31.5485865Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5486194Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5486531Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5486896Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5487318Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5487637Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:31.5488092Z [2022-11-23 01:29:50,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5488356Z [2022-11-23 01:29:50,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T01:32:31.5488667Z [2022-11-23 01:29:50,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:31.5488884Z [2022-11-23 01:29:50,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5489255Z [2022-11-23 01:29:50,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5489551Z [2022-11-23 01:29:50,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5489854Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5490112Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T01:32:31.5490432Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474
2022-11-23T01:32:31.5490724Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T01:32:31.5491077Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T01:32:31.5491412Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5491815Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5492126Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:31.5492528Z [2022-11-23 01:29:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5492781Z [2022-11-23 01:29:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T01:32:31.5493097Z [2022-11-23 01:29:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:31.5493323Z [2022-11-23 01:29:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5493690Z [2022-11-23 01:29:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5493985Z [2022-11-23 01:29:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5494307Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5494586Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:31.5494897Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477
2022-11-23T01:32:31.5495188Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T01:32:31.5495502Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5495827Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5496193Z [2022-11-23 01:29:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5496504Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:31.5496914Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5497175Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T01:32:31.5497484Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:31.5497707Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5498074Z [2022-11-23 01:29:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5498393Z [2022-11-23 01:29:50,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5498734Z [2022-11-23 01:29:50,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5499120Z [2022-11-23 01:29:50,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5499421Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480
2022-11-23T01:32:31.5499726Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5500051Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5500386Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5500753Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5501172Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5501478Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:31.5501926Z [2022-11-23 01:29:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5502192Z [2022-11-23 01:29:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T01:32:31.5502515Z [2022-11-23 01:29:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482
2022-11-23T01:32:31.5502768Z [2022-11-23 01:29:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5503130Z [2022-11-23 01:29:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5503423Z [2022-11-23 01:29:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5503720Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5503984Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T01:32:31.5504272Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T01:32:31.5504571Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T01:32:31.5504900Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5505261Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5505621Z [2022-11-23 01:29:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.5505894Z [2022-11-23 01:29:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T01:32:31.5506203Z [2022-11-23 01:29:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483
2022-11-23T01:32:31.5506424Z [2022-11-23 01:29:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5506770Z [2022-11-23 01:29:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5507058Z [2022-11-23 01:29:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5507370Z [2022-11-23 01:29:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5507640Z [2022-11-23 01:29:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T01:32:31.5507926Z [2022-11-23 01:29:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T01:32:31.5508235Z [2022-11-23 01:29:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T01:32:31.5508567Z [2022-11-23 01:29:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5508937Z [2022-11-23 01:29:50,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5509191Z [2022-11-23 01:29:50,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T01:32:31.5509502Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484
2022-11-23T01:32:31.5509729Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T01:32:31.5509972Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T01:32:31.5510241Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5510604Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.5510995Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466>
2022-11-23T01:32:31.5511242Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.5511482Z [2022-11-23 01:29:50,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5511737Z [2022-11-23 01:29:50,568] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5511990Z [2022-11-23 01:29:50,574] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5512186Z [2022-11-23 01:29:50,574] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5512341Z  __compiled_fn_559 <eval_with_key>.3429 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5512446Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5512561Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5512653Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.5512743Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.5512864Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:31.5513077Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T01:32:31.5513275Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5513440Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5513615Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T01:32:31.5513830Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5514060Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T01:32:31.5514236Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T01:32:31.5514361Z output, output, output, ((embedding_default,),), {}
2022-11-23T01:32:31.5514369Z 
2022-11-23T01:32:31.5514693Z [2022-11-23 01:29:50,575] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5514794Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5514891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5514979Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5515078Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5515170Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5515265Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5515346Z              12 RETURN_VALUE
2022-11-23T01:32:31.5515352Z 
2022-11-23T01:32:31.5515419Z  
2022-11-23T01:32:31.5515739Z [2022-11-23 01:29:50,575] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5515861Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_559)
2022-11-23T01:32:31.5515951Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5516048Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5516131Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5516225Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5516319Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:31.5516400Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5516493Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5516580Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:31.5516662Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.5516757Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5516849Z              22 LOAD_CONST               5 (3)
2022-11-23T01:32:31.5516930Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.5517025Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5517120Z              28 LOAD_CONST               6 (5)
2022-11-23T01:32:31.5517194Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.5517289Z              32 CALL_FUNCTION            5
2022-11-23T01:32:31.5517402Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5517512Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5517607Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5517689Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.5517783Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5517870Z              44 LOAD_CONST               2 (4)
2022-11-23T01:32:31.5517950Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.5518042Z              48 BUILD_LIST               2
2022-11-23T01:32:31.5518123Z              50 RETURN_VALUE
2022-11-23T01:32:31.5518128Z 
2022-11-23T01:32:31.5518194Z  
2022-11-23T01:32:31.5518413Z [2022-11-23 01:29:50,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5518510Z  - 
2022-11-23T01:32:31.5518628Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5518696Z             {
2022-11-23T01:32:31.5518842Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5519032Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:31.5519156Z                 'obj_weakref': None
2022-11-23T01:32:31.5519384Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5519454Z             }
2022-11-23T01:32:31.5519515Z             
2022-11-23T01:32:31.5519591Z  - 
2022-11-23T01:32:31.5519722Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5519791Z             {
2022-11-23T01:32:31.5519941Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5520052Z                 'code': None,
2022-11-23T01:32:31.5520272Z                 'obj_weakref': <weakref at 0x7f20230d6750; to 'Tensor' at 0x7f1ff81407c0>
2022-11-23T01:32:31.5520516Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5520590Z             }
2022-11-23T01:32:31.5520659Z             
2022-11-23T01:32:31.5520735Z  - 
2022-11-23T01:32:31.5520863Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5520936Z             {
2022-11-23T01:32:31.5521083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5521187Z                 'code': None,
2022-11-23T01:32:31.5521398Z                 'obj_weakref': <weakref at 0x7f20230d7ba0; to 'Tensor' at 0x7f20607964d0>
2022-11-23T01:32:31.5521648Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5521717Z             }
2022-11-23T01:32:31.5521785Z             
2022-11-23T01:32:31.5521861Z  - 
2022-11-23T01:32:31.5521988Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.5522050Z             {
2022-11-23T01:32:31.5522198Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5522313Z                 'code': None,
2022-11-23T01:32:31.5522525Z                 'obj_weakref': <weakref at 0x7f20230d5c10; to 'Tensor' at 0x7f2060796e80>
2022-11-23T01:32:31.5522774Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5522847Z             }
2022-11-23T01:32:31.5522917Z             
2022-11-23T01:32:31.5522985Z  - 
2022-11-23T01:32:31.5523111Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.5523180Z             {
2022-11-23T01:32:31.5523324Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5523438Z                 'code': None,
2022-11-23T01:32:31.5523649Z                 'obj_weakref': <weakref at 0x7f20606bb2e0; to 'Tensor' at 0x7f1ff8141df0>
2022-11-23T01:32:31.5523899Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5523964Z             }
2022-11-23T01:32:31.5524035Z             
2022-11-23T01:32:31.5524111Z  - 
2022-11-23T01:32:31.5524237Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:31.5524305Z             {
2022-11-23T01:32:31.5524450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5524560Z                 'code': None,
2022-11-23T01:32:31.5524760Z                 'obj_weakref': <weakref at 0x7f207282af70; to 'Tensor' at 0x7f20607960c0>
2022-11-23T01:32:31.5525007Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5525077Z             }
2022-11-23T01:32:31.5525144Z             
2022-11-23T01:32:31.5525220Z  - 
2022-11-23T01:32:31.5525346Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:31.5525415Z             {
2022-11-23T01:32:31.5525553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5525664Z                 'code': None,
2022-11-23T01:32:31.5525899Z                 'obj_weakref': <weakref at 0x7f2023208090; to 'Tensor' at 0x7f20607944a0>
2022-11-23T01:32:31.5526166Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5526235Z             }
2022-11-23T01:32:31.5526303Z             
2022-11-23T01:32:31.5526379Z  - 
2022-11-23T01:32:31.5526506Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5526574Z             {
2022-11-23T01:32:31.5526713Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5526888Z                 'code': ['___check_obj_id(model, 139774882135872)'],
2022-11-23T01:32:31.5527013Z                 'obj_weakref': None
2022-11-23T01:32:31.5527243Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5527313Z             }
2022-11-23T01:32:31.5527374Z             
2022-11-23T01:32:31.5527449Z  - 
2022-11-23T01:32:31.5527574Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5527646Z             {
2022-11-23T01:32:31.5527790Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5528007Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5528130Z                 'obj_weakref': None
2022-11-23T01:32:31.5528345Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5528413Z             }
2022-11-23T01:32:31.5528481Z             
2022-11-23T01:32:31.5528559Z  - 
2022-11-23T01:32:31.5528696Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5528764Z             {
2022-11-23T01:32:31.5528890Z                 'guard_types': None,
2022-11-23T01:32:31.5528994Z                 'code': None,
2022-11-23T01:32:31.5529116Z                 'obj_weakref': None
2022-11-23T01:32:31.5529244Z                 'guarded_class': None
2022-11-23T01:32:31.5529313Z             }
2022-11-23T01:32:31.5529380Z             
2022-11-23T01:32:31.5529649Z [2022-11-23 01:29:50,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 542
2022-11-23T01:32:31.5529904Z [2022-11-23 01:29:50,605] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5530259Z [2022-11-23 01:29:50,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7n/c7n6v4dpv5kd3h3pbof65jjcjoh7hysx3cm7hc7ysk4r4ojwdjzo.py
2022-11-23T01:32:31.5530518Z [2022-11-23 01:29:50,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 542
2022-11-23T01:32:31.5530757Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5531068Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5531288Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5531544Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5531823Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5532140Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5532485Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5532803Z [2022-11-23 01:29:50,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5533208Z [2022-11-23 01:29:50,711] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466> 
2022-11-23T01:32:31.5533326Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5533427Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5533530Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5533641Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5533746Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5533751Z 
2022-11-23T01:32:31.5533849Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T01:32:31.5533948Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T01:32:31.5534043Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5534133Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5534240Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5534245Z 
2022-11-23T01:32:31.5534341Z 4467          20 CALL_METHOD              5
2022-11-23T01:32:31.5534457Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T01:32:31.5534465Z 
2022-11-23T01:32:31.5534565Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5534664Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5534760Z               28 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5534868Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5534963Z               32 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5534968Z 
2022-11-23T01:32:31.5535067Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T01:32:31.5535177Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T01:32:31.5535272Z               38 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5535368Z               40 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5535474Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5535479Z 
2022-11-23T01:32:31.5535579Z 4470          44 CALL_METHOD              5
2022-11-23T01:32:31.5535697Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T01:32:31.5535703Z 
2022-11-23T01:32:31.5535795Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5535893Z               50 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5535991Z               52 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5536089Z               54 LOAD_ATTR                5 (slice)
2022-11-23T01:32:31.5536192Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T01:32:31.5536197Z 
2022-11-23T01:32:31.5536311Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:31.5536407Z               60 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5536502Z               62 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5536603Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5536608Z 
2022-11-23T01:32:31.5536704Z 4473          66 CALL_METHOD              4
2022-11-23T01:32:31.5536805Z               68 STORE_FAST               8 (slice_2)
2022-11-23T01:32:31.5536813Z 
2022-11-23T01:32:31.5536913Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5537014Z               72 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5537111Z               74 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5537222Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T01:32:31.5537323Z               78 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5537328Z 
2022-11-23T01:32:31.5537420Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T01:32:31.5537518Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T01:32:31.5537613Z               84 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5537710Z               86 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5537715Z 
2022-11-23T01:32:31.5537809Z 4476          88 CALL_METHOD              4
2022-11-23T01:32:31.5537946Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T01:32:31.5537971Z 
2022-11-23T01:32:31.5538071Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5538169Z               94 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5538259Z               96 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5538366Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:31.5538468Z              100 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5538473Z 
2022-11-23T01:32:31.5538582Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:31.5538691Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T01:32:31.5538900Z              106 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5538996Z              108 LOAD_CONST               3 (0)
2022-11-23T01:32:31.5539104Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:31.5539109Z 
2022-11-23T01:32:31.5539199Z 4479         112 CALL_METHOD              5
2022-11-23T01:32:31.5539316Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T01:32:31.5539321Z 
2022-11-23T01:32:31.5539420Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5539520Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5539618Z              120 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5539713Z              122 LOAD_ATTR                8 (view)
2022-11-23T01:32:31.5539813Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5539923Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T01:32:31.5540066Z              128 LOAD_CONST               4 (-1)
2022-11-23T01:32:31.5540163Z              130 LOAD_CONST               5 (128)
2022-11-23T01:32:31.5540256Z              132 BUILD_LIST               2
2022-11-23T01:32:31.5540350Z              134 CALL_METHOD              2
2022-11-23T01:32:31.5540450Z              136 STORE_FAST              11 (view)
2022-11-23T01:32:31.5540455Z 
2022-11-23T01:32:31.5540556Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5540654Z              140 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.5540744Z              142 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.5540850Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T01:32:31.5540950Z              146 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.5541050Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:31.5541149Z              150 LOAD_FAST               11 (view)
2022-11-23T01:32:31.5541243Z              152 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5541337Z              154 CALL_METHOD              3
2022-11-23T01:32:31.5541437Z              156 STORE_FAST              12 (embedding)
2022-11-23T01:32:31.5541448Z 
2022-11-23T01:32:31.5541544Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T01:32:31.5541645Z              160 LOAD_FAST                4 (view_1)
2022-11-23T01:32:31.5541742Z              162 BUILD_LIST               2
2022-11-23T01:32:31.5541824Z              164 RETURN_VALUE
2022-11-23T01:32:31.5541891Z  
2022-11-23T01:32:31.5541896Z 
2022-11-23T01:32:31.5542215Z [2022-11-23 01:29:50,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:31.5542440Z [2022-11-23 01:29:50,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5542802Z [2022-11-23 01:29:50,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5543091Z [2022-11-23 01:29:50,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5543463Z [2022-11-23 01:29:50,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5543766Z [2022-11-23 01:29:50,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5544078Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468
2022-11-23T01:32:31.5544365Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5544673Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5545003Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5545373Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5545803Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5546114Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:32:31.5546563Z [2022-11-23 01:29:50,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5546825Z [2022-11-23 01:29:50,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T01:32:31.5547135Z [2022-11-23 01:29:50,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:31.5547362Z [2022-11-23 01:29:50,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5547725Z [2022-11-23 01:29:50,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5548021Z [2022-11-23 01:29:50,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5548338Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5548609Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5548920Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471
2022-11-23T01:32:31.5549210Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5549531Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5549864Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5550225Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5550775Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5551105Z [2022-11-23 01:29:50,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:32:31.5551557Z [2022-11-23 01:29:50,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5551822Z [2022-11-23 01:29:50,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T01:32:31.5552134Z [2022-11-23 01:29:50,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:31.5552359Z [2022-11-23 01:29:50,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5552723Z [2022-11-23 01:29:50,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5553016Z [2022-11-23 01:29:50,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5553320Z [2022-11-23 01:29:50,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5553585Z [2022-11-23 01:29:50,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T01:32:31.5553900Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474
2022-11-23T01:32:31.5554194Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T01:32:31.5554487Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T01:32:31.5554822Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5555208Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5555515Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:32:31.5555926Z [2022-11-23 01:29:50,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5556180Z [2022-11-23 01:29:50,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T01:32:31.5556498Z [2022-11-23 01:29:50,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:31.5556721Z [2022-11-23 01:29:50,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5557082Z [2022-11-23 01:29:50,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5557379Z [2022-11-23 01:29:50,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5557727Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5558000Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:31.5558344Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477
2022-11-23T01:32:31.5558639Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T01:32:31.5558960Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5559299Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5559674Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5559989Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:32:31.5560404Z [2022-11-23 01:29:50,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5560669Z [2022-11-23 01:29:50,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T01:32:31.5560983Z [2022-11-23 01:29:50,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:31.5561210Z [2022-11-23 01:29:50,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5561572Z [2022-11-23 01:29:50,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5561860Z [2022-11-23 01:29:50,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5562217Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5562496Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:31.5562802Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480
2022-11-23T01:32:31.5563097Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:31.5563429Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:31.5563768Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5564135Z [2022-11-23 01:29:50,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5564566Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5564875Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:32:31.5565351Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5565632Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T01:32:31.5565940Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482
2022-11-23T01:32:31.5566163Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5566524Z [2022-11-23 01:29:50,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5566816Z [2022-11-23 01:29:50,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5567118Z [2022-11-23 01:29:50,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5567377Z [2022-11-23 01:29:50,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T01:32:31.5567661Z [2022-11-23 01:29:50,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T01:32:31.5567956Z [2022-11-23 01:29:50,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T01:32:31.5568284Z [2022-11-23 01:29:50,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5568644Z [2022-11-23 01:29:50,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.5568965Z [2022-11-23 01:29:50,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.5569205Z [2022-11-23 01:29:50,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T01:32:31.5569513Z [2022-11-23 01:29:50,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483
2022-11-23T01:32:31.5569735Z [2022-11-23 01:29:50,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5570086Z [2022-11-23 01:29:50,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5570377Z [2022-11-23 01:29:50,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.5570690Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5570958Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T01:32:31.5571244Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T01:32:31.5571556Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T01:32:31.5571887Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5572283Z [2022-11-23 01:29:50,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5572552Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T01:32:31.5572866Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484
2022-11-23T01:32:31.5573094Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T01:32:31.5573342Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T01:32:31.5573614Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5573862Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.5574253Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466>
2022-11-23T01:32:31.5574499Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.5574734Z [2022-11-23 01:29:50,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5574986Z [2022-11-23 01:29:50,765] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5575241Z [2022-11-23 01:29:50,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5575435Z [2022-11-23 01:29:50,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5575579Z  __compiled_fn_560 <eval_with_key>.3435 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5575676Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5575770Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5575862Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.5575952Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.5576034Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:31.5576211Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T01:32:31.5576411Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5576583Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5576762Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T01:32:31.5576975Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:31.5577207Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T01:32:31.5577378Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T01:32:31.5577502Z output, output, output, ((embedding_default,),), {}
2022-11-23T01:32:31.5577509Z 
2022-11-23T01:32:31.5577834Z [2022-11-23 01:29:50,772] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5577936Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5578035Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5578132Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5578231Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5578323Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5578418Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5578501Z              12 RETURN_VALUE
2022-11-23T01:32:31.5578533Z 
2022-11-23T01:32:31.5578594Z  
2022-11-23T01:32:31.5579052Z [2022-11-23 01:29:50,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5579172Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_560)
2022-11-23T01:32:31.5579268Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5579367Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5579451Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5579545Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5579632Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:31.5579715Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5579808Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5579901Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:31.5579984Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.5580078Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5580173Z              22 LOAD_CONST               5 (3)
2022-11-23T01:32:31.5580249Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.5580341Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5580438Z              28 LOAD_CONST               6 (5)
2022-11-23T01:32:31.5580519Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.5580612Z              32 CALL_FUNCTION            5
2022-11-23T01:32:31.5580724Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5580832Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5580921Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5581001Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.5581096Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5581191Z              44 LOAD_CONST               2 (4)
2022-11-23T01:32:31.5581271Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.5581368Z              48 BUILD_LIST               2
2022-11-23T01:32:31.5581451Z              50 RETURN_VALUE
2022-11-23T01:32:31.5581459Z 
2022-11-23T01:32:31.5581524Z  
2022-11-23T01:32:31.5581710Z [2022-11-23 01:29:50,773] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5581787Z  - 
2022-11-23T01:32:31.5581926Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5582006Z             {
2022-11-23T01:32:31.5582177Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5582372Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:31.5582496Z                 'obj_weakref': None
2022-11-23T01:32:31.5582716Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5582787Z             }
2022-11-23T01:32:31.5582856Z             
2022-11-23T01:32:31.5582931Z  - 
2022-11-23T01:32:31.5583060Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5583129Z             {
2022-11-23T01:32:31.5583277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5583383Z                 'code': None,
2022-11-23T01:32:31.5583596Z                 'obj_weakref': <weakref at 0x7f20233b1940; to 'Tensor' at 0x7f20680b15d0>
2022-11-23T01:32:31.5583846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5583915Z             }
2022-11-23T01:32:31.5583983Z             
2022-11-23T01:32:31.5584060Z  - 
2022-11-23T01:32:31.5584186Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5584248Z             {
2022-11-23T01:32:31.5584396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5584508Z                 'code': None,
2022-11-23T01:32:31.5584721Z                 'obj_weakref': <weakref at 0x7f20230d7ba0; to 'Tensor' at 0x7f20607964d0>
2022-11-23T01:32:31.5584978Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5585097Z             }
2022-11-23T01:32:31.5585168Z             
2022-11-23T01:32:31.5585262Z  - 
2022-11-23T01:32:31.5585395Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.5585463Z             {
2022-11-23T01:32:31.5585612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5585725Z                 'code': None,
2022-11-23T01:32:31.5585940Z                 'obj_weakref': <weakref at 0x7f20230d5c10; to 'Tensor' at 0x7f2060796e80>
2022-11-23T01:32:31.5586191Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5586253Z             }
2022-11-23T01:32:31.5586323Z             
2022-11-23T01:32:31.5592422Z  - 
2022-11-23T01:32:31.5592586Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.5592658Z             {
2022-11-23T01:32:31.5592811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5592927Z                 'code': None,
2022-11-23T01:32:31.5593140Z                 'obj_weakref': <weakref at 0x7f20606bb2e0; to 'Tensor' at 0x7f1ff8141df0>
2022-11-23T01:32:31.5593396Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5593467Z             }
2022-11-23T01:32:31.5593536Z             
2022-11-23T01:32:31.5593613Z  - 
2022-11-23T01:32:31.5593741Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:31.5593811Z             {
2022-11-23T01:32:31.5593951Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5594063Z                 'code': None,
2022-11-23T01:32:31.5594274Z                 'obj_weakref': <weakref at 0x7f207282af70; to 'Tensor' at 0x7f20607960c0>
2022-11-23T01:32:31.5594522Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5594592Z             }
2022-11-23T01:32:31.5594661Z             
2022-11-23T01:32:31.5594740Z  - 
2022-11-23T01:32:31.5594860Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:31.5594930Z             {
2022-11-23T01:32:31.5595080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5595194Z                 'code': None,
2022-11-23T01:32:31.5595400Z                 'obj_weakref': <weakref at 0x7f2023208090; to 'Tensor' at 0x7f20607944a0>
2022-11-23T01:32:31.5595647Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5595718Z             }
2022-11-23T01:32:31.5595779Z             
2022-11-23T01:32:31.5595855Z  - 
2022-11-23T01:32:31.5595992Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5596060Z             {
2022-11-23T01:32:31.5596203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5596377Z                 'code': ['___check_obj_id(model, 139774882135872)'],
2022-11-23T01:32:31.5596500Z                 'obj_weakref': None
2022-11-23T01:32:31.5596724Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5596794Z             }
2022-11-23T01:32:31.5596864Z             
2022-11-23T01:32:31.5596941Z  - 
2022-11-23T01:32:31.5597066Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5597134Z             {
2022-11-23T01:32:31.5597273Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5597482Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5597604Z                 'obj_weakref': None
2022-11-23T01:32:31.5597825Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5597895Z             }
2022-11-23T01:32:31.5597962Z             
2022-11-23T01:32:31.5598037Z  - 
2022-11-23T01:32:31.5598174Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5598237Z             {
2022-11-23T01:32:31.5598360Z                 'guard_types': None,
2022-11-23T01:32:31.5598472Z                 'code': None,
2022-11-23T01:32:31.5598651Z                 'obj_weakref': None
2022-11-23T01:32:31.5598840Z                 'guarded_class': None
2022-11-23T01:32:31.5598908Z             }
2022-11-23T01:32:31.5598970Z             
2022-11-23T01:32:31.5599238Z [2022-11-23 01:29:50,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 543
2022-11-23T01:32:31.5599486Z [2022-11-23 01:29:50,795] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5599840Z [2022-11-23 01:29:50,890] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/75/c75uvo37sj62li6aecqkxwqfy352d6rbhdhxhagdwxnbecjue5sx.py
2022-11-23T01:32:31.5600106Z [2022-11-23 01:29:50,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 543
2022-11-23T01:32:31.5600112Z 
2022-11-23T01:32:31.5600214Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5600290Z import torch
2022-11-23T01:32:31.5600368Z import random
2022-11-23T01:32:31.5600494Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5600615Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5600622Z 
2022-11-23T01:32:31.5600707Z aten = torch.ops.aten
2022-11-23T01:32:31.5600847Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5600946Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5600951Z 
2022-11-23T01:32:31.5601026Z import triton
2022-11-23T01:32:31.5601119Z import triton.language as tl
2022-11-23T01:32:31.5601247Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5601384Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5601396Z 
2022-11-23T01:32:31.5601401Z 
2022-11-23T01:32:31.5601680Z triton_fused_view_embedding_slice_1_slice_scatter_2_slice_scatter_slice_scatter_1_select_scatter0 = async_compile.triton('''
2022-11-23T01:32:31.5601756Z import triton
2022-11-23T01:32:31.5601849Z import triton.language as tl
2022-11-23T01:32:31.5601969Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5602073Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5602210Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5602339Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5602345Z 
2022-11-23T01:32:31.5602764Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.5602833Z @triton.jit
2022-11-23T01:32:31.5602996Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5603074Z     xnumel = 786432
2022-11-23T01:32:31.5603173Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5603306Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5603392Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5603483Z     x1 = (xindex // 768) % 128
2022-11-23T01:32:31.5603559Z     x2 = (xindex // 98304)
2022-11-23T01:32:31.5603643Z     x3 = (xindex // 768)
2022-11-23T01:32:31.5603722Z     x0 = xindex % 768
2022-11-23T01:32:31.5603795Z     x4 = xindex
2022-11-23T01:32:31.5603897Z     tmp3 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.5603996Z     tmp8 = tl.load(in_ptr2 + (x3), xmask)
2022-11-23T01:32:31.5604069Z     tmp0 = x1
2022-11-23T01:32:31.5604134Z     tmp1 = 0
2022-11-23T01:32:31.5604213Z     tmp2 = tmp0 == tmp1
2022-11-23T01:32:31.5604285Z     tmp4 = 1
2022-11-23T01:32:31.5604364Z     tmp5 = tmp0 >= tmp4
2022-11-23T01:32:31.5604608Z     tmp6 = tl.load(in_ptr1 + ((-1) + x1 + (127*x2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0)
2022-11-23T01:32:31.5604706Z     tmp7 = tl.where(tmp5, tmp6, 0)
2022-11-23T01:32:31.5604803Z     tmp9 = tl.where(tmp5, tmp7, tmp8)
2022-11-23T01:32:31.5604894Z     tmp10 = tl.where(tmp2, tmp3, tmp9)
2022-11-23T01:32:31.5605073Z     tmp11 = tl.load(in_ptr3 + (x0 + (768*tmp10) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.5605233Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.5605321Z ''')
2022-11-23T01:32:31.5605327Z 
2022-11-23T01:32:31.5605332Z 
2022-11-23T01:32:31.5605428Z async_compile.wait(globals())
2022-11-23T01:32:31.5605506Z del async_compile
2022-11-23T01:32:31.5605511Z 
2022-11-23T01:32:31.5605591Z def call(args):
2022-11-23T01:32:31.5605698Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T01:32:31.5605769Z     args.clear()
2022-11-23T01:32:31.5605992Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5606089Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5606329Z     triton_fused_view_embedding_slice_1_slice_scatter_2_slice_scatter_slice_scatter_1_select_scatter0.run(arg3_1, arg2_1, arg4_1, arg0_1, buf0, 786432, grid=grid(786432), stream=stream0)
2022-11-23T01:32:31.5606402Z     del arg0_1
2022-11-23T01:32:31.5606474Z     del arg2_1
2022-11-23T01:32:31.5606548Z     del arg3_1
2022-11-23T01:32:31.5606615Z     del arg4_1
2022-11-23T01:32:31.5606692Z     return (buf0, )
2022-11-23T01:32:31.5606697Z 
2022-11-23T01:32:31.5606701Z 
2022-11-23T01:32:31.5606783Z if __name__ == "__main__":
2022-11-23T01:32:31.5606904Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5607033Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5607249Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5607454Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5607657Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5607843Z     arg3_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5608037Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5608185Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T01:32:31.5608193Z 
2022-11-23T01:32:31.5608198Z 
2022-11-23T01:32:31.5608299Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5608376Z import torch
2022-11-23T01:32:31.5608451Z import random
2022-11-23T01:32:31.5608571Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5608697Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5608702Z 
2022-11-23T01:32:31.5608778Z aten = torch.ops.aten
2022-11-23T01:32:31.5608919Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5609017Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5609022Z 
2022-11-23T01:32:31.5609096Z import triton
2022-11-23T01:32:31.5609192Z import triton.language as tl
2022-11-23T01:32:31.5609325Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5609469Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5609474Z 
2022-11-23T01:32:31.5609478Z 
2022-11-23T01:32:31.5609768Z triton_fused_slice_scatter_select_scatter_slice_scatter_1_slice_1_embedding_slice_scatter_2_view0 = async_compile.triton('''
2022-11-23T01:32:31.5609840Z import triton
2022-11-23T01:32:31.5609935Z import triton.language as tl
2022-11-23T01:32:31.5610051Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5610155Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5610292Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5610420Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5610425Z 
2022-11-23T01:32:31.5610842Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.5610917Z @triton.jit
2022-11-23T01:32:31.5611099Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5611178Z     xnumel = 786432
2022-11-23T01:32:31.5611312Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5611447Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5611531Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5611617Z     x1 = (xindex // 768) % 128
2022-11-23T01:32:31.5611697Z     x2 = (xindex // 98304)
2022-11-23T01:32:31.5611770Z     x3 = (xindex // 768)
2022-11-23T01:32:31.5611851Z     x0 = xindex % 768
2022-11-23T01:32:31.5611922Z     x4 = xindex
2022-11-23T01:32:31.5612021Z     tmp3 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:31.5612119Z     tmp8 = tl.load(in_ptr2 + (x3), xmask)
2022-11-23T01:32:31.5612190Z     tmp0 = x1
2022-11-23T01:32:31.5612261Z     tmp1 = 0
2022-11-23T01:32:31.5612334Z     tmp2 = tmp0 == tmp1
2022-11-23T01:32:31.5612406Z     tmp4 = 1
2022-11-23T01:32:31.5612485Z     tmp5 = tmp0 >= tmp4
2022-11-23T01:32:31.5612728Z     tmp6 = tl.load(in_ptr1 + ((-1) + x1 + (127*x2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0)
2022-11-23T01:32:31.5612824Z     tmp7 = tl.where(tmp5, tmp6, 0)
2022-11-23T01:32:31.5612922Z     tmp9 = tl.where(tmp5, tmp7, tmp8)
2022-11-23T01:32:31.5613021Z     tmp10 = tl.where(tmp2, tmp3, tmp9)
2022-11-23T01:32:31.5613179Z     tmp11 = tl.load(in_ptr3 + (x0 + (768*tmp10) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.5613320Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.5613407Z ''')
2022-11-23T01:32:31.5613413Z 
2022-11-23T01:32:31.5613417Z 
2022-11-23T01:32:31.5613509Z async_compile.wait(globals())
2022-11-23T01:32:31.5613588Z del async_compile
2022-11-23T01:32:31.5613593Z 
2022-11-23T01:32:31.5613674Z def call(args):
2022-11-23T01:32:31.5613782Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T01:32:31.5613859Z     args.clear()
2022-11-23T01:32:31.5614070Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5614166Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5614409Z     triton_fused_slice_scatter_select_scatter_slice_scatter_1_slice_1_embedding_slice_scatter_2_view0.run(arg3_1, arg2_1, arg4_1, arg0_1, buf0, 786432, grid=grid(786432), stream=stream0)
2022-11-23T01:32:31.5614484Z     del arg0_1
2022-11-23T01:32:31.5614557Z     del arg2_1
2022-11-23T01:32:31.5614628Z     del arg3_1
2022-11-23T01:32:31.5614700Z     del arg4_1
2022-11-23T01:32:31.5614770Z     return (buf0, )
2022-11-23T01:32:31.5614783Z 
2022-11-23T01:32:31.5614788Z 
2022-11-23T01:32:31.5614863Z if __name__ == "__main__":
2022-11-23T01:32:31.5614985Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5615114Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5615327Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5615527Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5615729Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5615924Z     arg3_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5616112Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.5616256Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T01:32:31.5616261Z 
2022-11-23T01:32:31.5616334Z ok (0.637s)
2022-11-23T01:32:31.5616643Z   test_isinf2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5616962Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5617183Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5617478Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5617781Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5618101Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5618444Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5618758Z [2022-11-23 01:29:50,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5619269Z [2022-11-23 01:29:50,900] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371> 
2022-11-23T01:32:31.5619378Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5619480Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:31.5619485Z 
2022-11-23T01:32:31.5619582Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5619684Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5619828Z                8 LOAD_CONST               2 ('inf')
2022-11-23T01:32:31.5619925Z               10 CALL_FUNCTION            1
2022-11-23T01:32:31.5620024Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5620116Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5620260Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T01:32:31.5620356Z               18 CALL_FUNCTION            1
2022-11-23T01:32:31.5620455Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5620596Z               22 LOAD_CONST               5 ('nan')
2022-11-23T01:32:31.5620692Z               24 CALL_FUNCTION            1
2022-11-23T01:32:31.5620790Z               26 BUILD_LIST               5
2022-11-23T01:32:31.5620885Z               28 LOAD_DEREF               0 (self)
2022-11-23T01:32:31.5620985Z               30 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.5620991Z 
2022-11-23T01:32:31.5621148Z 3372          32 LOAD_CONST               6 (('device',))
2022-11-23T01:32:31.5621246Z               34 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5621344Z               36 STORE_FAST               1 (y)
2022-11-23T01:32:31.5621349Z 
2022-11-23T01:32:31.5621445Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5621540Z               40 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5621642Z               42 COMPARE_OP               2 (==)
2022-11-23T01:32:31.5621717Z               44 RETURN_VALUE
2022-11-23T01:32:31.5621785Z  
2022-11-23T01:32:31.5621790Z 
2022-11-23T01:32:31.5622105Z [2022-11-23 01:29:50,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:31.5622329Z [2022-11-23 01:29:50,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5622692Z [2022-11-23 01:29:50,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5623004Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373
2022-11-23T01:32:31.5623329Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5623691Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.5624134Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:31.5624590Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5624979Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.5625406Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.5625873Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:31.5626376Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5626842Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.5627338Z [2022-11-23 01:29:50,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T01:32:31.5627926Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5628424Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.5628768Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:31.5629185Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), UserDefinedObjectVariable(CudaTests)]
2022-11-23T01:32:31.5629499Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:31.5629892Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.5630386Z [2022-11-23 01:29:50,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.5630657Z [2022-11-23 01:29:50,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:31.5630996Z [2022-11-23 01:29:50,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375
2022-11-23T01:32:31.5631229Z [2022-11-23 01:29:50,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5631473Z [2022-11-23 01:29:50,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.5631735Z [2022-11-23 01:29:50,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5631983Z [2022-11-23 01:29:50,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5632357Z [2022-11-23 01:29:50,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371>
2022-11-23T01:32:31.5632608Z [2022-11-23 01:29:50,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5632842Z [2022-11-23 01:29:50,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5633100Z [2022-11-23 01:29:50,905] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5633353Z [2022-11-23 01:29:50,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5633545Z [2022-11-23 01:29:50,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5633689Z  __compiled_fn_561 <eval_with_key>.3441 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5633779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5634054Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1, inf, 2, -inf, nan],), {'device': 'cuda'}
2022-11-23T01:32:31.5634235Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T01:32:31.5634336Z output, output, output, ((eq,),), {}
2022-11-23T01:32:31.5634344Z 
2022-11-23T01:32:31.5634666Z [2022-11-23 01:29:50,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5634774Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5634872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5634967Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5635067Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5635153Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5635248Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5635332Z              12 RETURN_VALUE
2022-11-23T01:32:31.5635337Z 
2022-11-23T01:32:31.5635404Z  
2022-11-23T01:32:31.5635722Z [2022-11-23 01:29:50,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5635842Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_561)
2022-11-23T01:32:31.5635943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5636034Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5636119Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5636213Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5636325Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5636463Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.5636569Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.5636667Z              16 CALL_FUNCTION            0
2022-11-23T01:32:31.5636774Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.5636877Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5636974Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5637056Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.5637190Z              26 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5637318Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.5637415Z              30 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5637498Z              32 BINARY_SUBSCR
2022-11-23T01:32:31.5637601Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.5637701Z              36 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5637805Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.5637903Z              40 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5637985Z              42 BINARY_SUBSCR
2022-11-23T01:32:31.5638094Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.5638176Z              46 RETURN_VALUE
2022-11-23T01:32:31.5638181Z 
2022-11-23T01:32:31.5638241Z  
2022-11-23T01:32:31.5638432Z [2022-11-23 01:29:50,909] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5638510Z  - 
2022-11-23T01:32:31.5638638Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5638709Z             {
2022-11-23T01:32:31.5638859Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5639050Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5639169Z                 'obj_weakref': None
2022-11-23T01:32:31.5639394Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5639466Z             }
2022-11-23T01:32:31.5639537Z             
2022-11-23T01:32:31.5639614Z  - 
2022-11-23T01:32:31.5639742Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5639812Z             {
2022-11-23T01:32:31.5639954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5640071Z                 'code': None,
2022-11-23T01:32:31.5640283Z                 'obj_weakref': <weakref at 0x7f20233b04a0; to 'Tensor' at 0x7f21284662a0>
2022-11-23T01:32:31.5640536Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5640607Z             }
2022-11-23T01:32:31.5640676Z             
2022-11-23T01:32:31.5640755Z  - 
2022-11-23T01:32:31.5640885Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5640954Z             {
2022-11-23T01:32:31.5641095Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5641271Z                 'code': ['___check_obj_id(model, 139776005478800)'],
2022-11-23T01:32:31.5641398Z                 'obj_weakref': None
2022-11-23T01:32:31.5641626Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5641697Z             }
2022-11-23T01:32:31.5641759Z             
2022-11-23T01:32:31.5641835Z  - 
2022-11-23T01:32:31.5641965Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5642036Z             {
2022-11-23T01:32:31.5642178Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5642399Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5642527Z                 'obj_weakref': None
2022-11-23T01:32:31.5642746Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5642816Z             }
2022-11-23T01:32:31.5642885Z             
2022-11-23T01:32:31.5642963Z  - 
2022-11-23T01:32:31.5643143Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T01:32:31.5643212Z             {
2022-11-23T01:32:31.5643359Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.5643571Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768409769312)'],
2022-11-23T01:32:31.5643791Z                 'obj_weakref': <weakref at 0x7f20606b9cb0; to 'CudaTests' at 0x7f2151f0c580>
2022-11-23T01:32:31.5644024Z                 'guarded_class': <weakref at 0x7f2151ff4900; to 'type' at 0x5630fd667560 (CudaTests)>
2022-11-23T01:32:31.5644095Z             }
2022-11-23T01:32:31.5644198Z             
2022-11-23T01:32:31.5644279Z  - 
2022-11-23T01:32:31.5644505Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T01:32:31.5644568Z             {
2022-11-23T01:32:31.5644718Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.5645029Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94768292446400)', "model.__closure__[0].cell_contents.device == 'cuda'"],
2022-11-23T01:32:31.5645155Z                 'obj_weakref': None
2022-11-23T01:32:31.5645375Z                 'guarded_class': <weakref at 0x7f2158fe1080; to 'type' at 0x5630f66840c0 (str)>
2022-11-23T01:32:31.5645445Z             }
2022-11-23T01:32:31.5645514Z             
2022-11-23T01:32:31.5645590Z  - 
2022-11-23T01:32:31.5645719Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:31.5645793Z             {
2022-11-23T01:32:31.5645918Z                 'guard_types': None,
2022-11-23T01:32:31.5646031Z                 'code': None,
2022-11-23T01:32:31.5646156Z                 'obj_weakref': None
2022-11-23T01:32:31.5646283Z                 'guarded_class': None
2022-11-23T01:32:31.5646353Z             }
2022-11-23T01:32:31.5646415Z             
2022-11-23T01:32:31.5646492Z  - 
2022-11-23T01:32:31.5646628Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5646701Z             {
2022-11-23T01:32:31.5646826Z                 'guard_types': None,
2022-11-23T01:32:31.5646937Z                 'code': None,
2022-11-23T01:32:31.5647052Z                 'obj_weakref': None
2022-11-23T01:32:31.5647178Z                 'guarded_class': None
2022-11-23T01:32:31.5647247Z             }
2022-11-23T01:32:31.5647317Z             
2022-11-23T01:32:31.5647578Z [2022-11-23 01:29:50,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 544
2022-11-23T01:32:31.5647831Z [2022-11-23 01:29:50,920] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5648196Z [2022-11-23 01:29:50,985] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/64/c64yyiz7d7zwce3bgndcufm5w7t4nxty7mzovhwgobf36aklcfo6.py
2022-11-23T01:32:31.5648466Z [2022-11-23 01:29:50,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 544
2022-11-23T01:32:31.5648703Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5649017Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5649244Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5649503Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5649787Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5650117Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5650466Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5650791Z [2022-11-23 01:29:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5651169Z [2022-11-23 01:29:50,989] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371> 
2022-11-23T01:32:31.5651275Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5651371Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:31.5651382Z 
2022-11-23T01:32:31.5651505Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T01:32:31.5651611Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5651778Z                8 LOAD_CONST               2 ('inf')
2022-11-23T01:32:31.5651877Z               10 CALL_FUNCTION            1
2022-11-23T01:32:31.5651975Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:31.5652075Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5652223Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T01:32:31.5652314Z               18 CALL_FUNCTION            1
2022-11-23T01:32:31.5652413Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:31.5652555Z               22 LOAD_CONST               5 ('nan')
2022-11-23T01:32:31.5652653Z               24 CALL_FUNCTION            1
2022-11-23T01:32:31.5652748Z               26 BUILD_LIST               5
2022-11-23T01:32:31.5652851Z               28 LOAD_DEREF               0 (self)
2022-11-23T01:32:31.5652951Z               30 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.5652959Z 
2022-11-23T01:32:31.5653112Z 3372          32 LOAD_CONST               6 (('device',))
2022-11-23T01:32:31.5653213Z               34 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.5653312Z               36 STORE_FAST               1 (y)
2022-11-23T01:32:31.5653317Z 
2022-11-23T01:32:31.5653414Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5653511Z               40 LOAD_FAST                1 (y)
2022-11-23T01:32:31.5653615Z               42 COMPARE_OP               2 (==)
2022-11-23T01:32:31.5653701Z               44 RETURN_VALUE
2022-11-23T01:32:31.5653772Z  
2022-11-23T01:32:31.5653778Z 
2022-11-23T01:32:31.5654094Z [2022-11-23 01:29:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:31.5654320Z [2022-11-23 01:29:50,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5654694Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5655014Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373
2022-11-23T01:32:31.5655344Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.5655711Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.5656107Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:31.5656540Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5656931Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.5657370Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.5657840Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:31.5658364Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5658977Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:31.5659481Z [2022-11-23 01:29:50,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T01:32:31.5660018Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.5660517Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.5660860Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:31.5661266Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), UserDefinedObjectVariable(CudaTests)]
2022-11-23T01:32:31.5661580Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:32:31.5661968Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:31.5662393Z [2022-11-23 01:29:50,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.5662635Z [2022-11-23 01:29:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:31.5662946Z [2022-11-23 01:29:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375
2022-11-23T01:32:31.5663164Z [2022-11-23 01:29:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5663405Z [2022-11-23 01:29:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:31.5663681Z [2022-11-23 01:29:50,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5663935Z [2022-11-23 01:29:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5664319Z [2022-11-23 01:29:50,993] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371>
2022-11-23T01:32:31.5664576Z [2022-11-23 01:29:50,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5664810Z [2022-11-23 01:29:50,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5665113Z [2022-11-23 01:29:50,995] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5665395Z [2022-11-23 01:29:50,998] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5665591Z [2022-11-23 01:29:50,998] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5665735Z  __compiled_fn_562 <eval_with_key>.3447 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5665831Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5666114Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1, inf, 2, -inf, nan],), {'device': 'cuda'}
2022-11-23T01:32:31.5666297Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T01:32:31.5666392Z output, output, output, ((eq,),), {}
2022-11-23T01:32:31.5666398Z 
2022-11-23T01:32:31.5666734Z [2022-11-23 01:29:50,998] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5666839Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5666940Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5667035Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5667137Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5667231Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5667328Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5667404Z              12 RETURN_VALUE
2022-11-23T01:32:31.5667410Z 
2022-11-23T01:32:31.5667477Z  
2022-11-23T01:32:31.5667803Z [2022-11-23 01:29:50,998] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5667922Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_562)
2022-11-23T01:32:31.5668019Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5668117Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5668202Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5668290Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5668405Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5668542Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.5668649Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.5668741Z              16 CALL_FUNCTION            0
2022-11-23T01:32:31.5668845Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.5668955Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5669052Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5669129Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.5669228Z              26 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5669336Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.5669433Z              30 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5669518Z              32 BINARY_SUBSCR
2022-11-23T01:32:31.5669628Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.5669729Z              36 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5669827Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.5669923Z              40 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5670005Z              42 BINARY_SUBSCR
2022-11-23T01:32:31.5670115Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.5670198Z              46 RETURN_VALUE
2022-11-23T01:32:31.5670204Z 
2022-11-23T01:32:31.5670380Z  
2022-11-23T01:32:31.5670595Z [2022-11-23 01:29:50,999] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5670680Z  - 
2022-11-23T01:32:31.5670816Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5670886Z             {
2022-11-23T01:32:31.5671036Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5671268Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5671394Z                 'obj_weakref': None
2022-11-23T01:32:31.5671647Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5671711Z             }
2022-11-23T01:32:31.5671781Z             
2022-11-23T01:32:31.5671857Z  - 
2022-11-23T01:32:31.5671987Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5672058Z             {
2022-11-23T01:32:31.5672206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5672320Z                 'code': None,
2022-11-23T01:32:31.5672525Z                 'obj_weakref': <weakref at 0x7f1ff8143010; to 'Tensor' at 0x7f2068243e70>
2022-11-23T01:32:31.5672775Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5672848Z             }
2022-11-23T01:32:31.5672917Z             
2022-11-23T01:32:31.5672994Z  - 
2022-11-23T01:32:31.5673135Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5673204Z             {
2022-11-23T01:32:31.5673342Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5673518Z                 'code': ['___check_obj_id(model, 139776005478800)'],
2022-11-23T01:32:31.5673643Z                 'obj_weakref': None
2022-11-23T01:32:31.5673878Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5673945Z             }
2022-11-23T01:32:31.5674014Z             
2022-11-23T01:32:31.5674091Z  - 
2022-11-23T01:32:31.5674212Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5674281Z             {
2022-11-23T01:32:31.5674425Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5674649Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5674778Z                 'obj_weakref': None
2022-11-23T01:32:31.5675007Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5675077Z             }
2022-11-23T01:32:31.5675143Z             
2022-11-23T01:32:31.5675219Z  - 
2022-11-23T01:32:31.5675400Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T01:32:31.5675469Z             {
2022-11-23T01:32:31.5675615Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.5675833Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768409769312)'],
2022-11-23T01:32:31.5676054Z                 'obj_weakref': <weakref at 0x7f20606b9cb0; to 'CudaTests' at 0x7f2151f0c580>
2022-11-23T01:32:31.5676286Z                 'guarded_class': <weakref at 0x7f2151ff4900; to 'type' at 0x5630fd667560 (CudaTests)>
2022-11-23T01:32:31.5676349Z             }
2022-11-23T01:32:31.5676419Z             
2022-11-23T01:32:31.5676497Z  - 
2022-11-23T01:32:31.5676702Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T01:32:31.5676772Z             {
2022-11-23T01:32:31.5676924Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.5677240Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94768292446400)', "model.__closure__[0].cell_contents.device == 'cuda'"],
2022-11-23T01:32:31.5677359Z                 'obj_weakref': None
2022-11-23T01:32:31.5677581Z                 'guarded_class': <weakref at 0x7f2158fe1080; to 'type' at 0x5630f66840c0 (str)>
2022-11-23T01:32:31.5677651Z             }
2022-11-23T01:32:31.5677721Z             
2022-11-23T01:32:31.5677798Z  - 
2022-11-23T01:32:31.5677936Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:31.5678004Z             {
2022-11-23T01:32:31.5678124Z                 'guard_types': None,
2022-11-23T01:32:31.5678237Z                 'code': None,
2022-11-23T01:32:31.5678360Z                 'obj_weakref': None
2022-11-23T01:32:31.5678486Z                 'guarded_class': None
2022-11-23T01:32:31.5678556Z             }
2022-11-23T01:32:31.5678628Z             
2022-11-23T01:32:31.5678734Z  - 
2022-11-23T01:32:31.5678874Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5678964Z             {
2022-11-23T01:32:31.5679091Z                 'guard_types': None,
2022-11-23T01:32:31.5679204Z                 'code': None,
2022-11-23T01:32:31.5679330Z                 'obj_weakref': None
2022-11-23T01:32:31.5679458Z                 'guarded_class': None
2022-11-23T01:32:31.5679520Z             }
2022-11-23T01:32:31.5679589Z             
2022-11-23T01:32:31.5679857Z [2022-11-23 01:29:51,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 545
2022-11-23T01:32:31.5680109Z [2022-11-23 01:29:51,011] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.5680477Z [2022-11-23 01:29:51,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pl/cplcirt4gszhrk5fzkgrsaoyv6657i77cmbsn37n7vazdogbozir.py
2022-11-23T01:32:31.5680746Z [2022-11-23 01:29:51,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 545
2022-11-23T01:32:31.5680754Z 
2022-11-23T01:32:31.5680854Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5680930Z import torch
2022-11-23T01:32:31.5680999Z import random
2022-11-23T01:32:31.5681123Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5681252Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5681258Z 
2022-11-23T01:32:31.5681345Z aten = torch.ops.aten
2022-11-23T01:32:31.5681489Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5681587Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5681592Z 
2022-11-23T01:32:31.5681666Z import triton
2022-11-23T01:32:31.5681760Z import triton.language as tl
2022-11-23T01:32:31.5681883Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5682028Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5682034Z 
2022-11-23T01:32:31.5682038Z 
2022-11-23T01:32:31.5682226Z triton_fused_eq_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:31.5682305Z import triton
2022-11-23T01:32:31.5682401Z import triton.language as tl
2022-11-23T01:32:31.5682518Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5682624Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5682762Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5682885Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5682890Z 
2022-11-23T01:32:31.5683258Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.5683332Z @triton.jit
2022-11-23T01:32:31.5683469Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5683544Z     xnumel = 5
2022-11-23T01:32:31.5683644Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5683781Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5683868Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5683934Z     x0 = xindex
2022-11-23T01:32:31.5684033Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5684109Z     tmp1 = x0
2022-11-23T01:32:31.5684180Z     tmp2 = 2
2022-11-23T01:32:31.5684261Z     tmp3 = tmp1 < tmp2
2022-11-23T01:32:31.5684331Z     tmp4 = 1
2022-11-23T01:32:31.5684404Z     tmp5 = tmp1 < tmp4
2022-11-23T01:32:31.5684479Z     tmp6 = 1.0
2022-11-23T01:32:31.5684559Z     tmp7 = float("inf")
2022-11-23T01:32:31.5684657Z     tmp8 = tl.where(tmp5, tmp6, tmp7)
2022-11-23T01:32:31.5684729Z     tmp9 = 3
2022-11-23T01:32:31.5684810Z     tmp10 = tmp1 < tmp9
2022-11-23T01:32:31.5684884Z     tmp11 = 2.0
2022-11-23T01:32:31.5684950Z     tmp12 = 4
2022-11-23T01:32:31.5685031Z     tmp13 = tmp1 < tmp12
2022-11-23T01:32:31.5685148Z     tmp14 = float("-inf")
2022-11-23T01:32:31.5685232Z     tmp15 = float("nan")
2022-11-23T01:32:31.5685372Z     tmp16 = tl.where(tmp13, tmp14, tmp15)
2022-11-23T01:32:31.5685475Z     tmp17 = tl.where(tmp10, tmp11, tmp16)
2022-11-23T01:32:31.5685588Z     tmp18 = tl.where(tmp3, tmp8, tmp17)
2022-11-23T01:32:31.5685671Z     tmp19 = tmp0 == tmp18
2022-11-23T01:32:31.5685816Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:31.5685904Z ''')
2022-11-23T01:32:31.5685909Z 
2022-11-23T01:32:31.5685914Z 
2022-11-23T01:32:31.5686009Z async_compile.wait(globals())
2022-11-23T01:32:31.5686088Z del async_compile
2022-11-23T01:32:31.5686093Z 
2022-11-23T01:32:31.5686169Z def call(args):
2022-11-23T01:32:31.5686244Z     arg0_1, = args
2022-11-23T01:32:31.5686315Z     args.clear()
2022-11-23T01:32:31.5686506Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5686600Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5686753Z     triton_fused_eq_lift_fresh_copy0.run(arg0_1, buf0, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5686828Z     del arg0_1
2022-11-23T01:32:31.5686908Z     return (buf0, )
2022-11-23T01:32:31.5686918Z 
2022-11-23T01:32:31.5686922Z 
2022-11-23T01:32:31.5687004Z if __name__ == "__main__":
2022-11-23T01:32:31.5687122Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5687245Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5687443Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5687559Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5687564Z 
2022-11-23T01:32:31.5687569Z 
2022-11-23T01:32:31.5687670Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5687745Z import torch
2022-11-23T01:32:31.5687821Z import random
2022-11-23T01:32:31.5687944Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5688063Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5688076Z 
2022-11-23T01:32:31.5688153Z aten = torch.ops.aten
2022-11-23T01:32:31.5688297Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5688397Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5688405Z 
2022-11-23T01:32:31.5688480Z import triton
2022-11-23T01:32:31.5688575Z import triton.language as tl
2022-11-23T01:32:31.5688704Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5688849Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5688854Z 
2022-11-23T01:32:31.5688859Z 
2022-11-23T01:32:31.5689041Z triton_fused_eq_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:31.5689110Z import triton
2022-11-23T01:32:31.5689203Z import triton.language as tl
2022-11-23T01:32:31.5689318Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5689423Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5689560Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5689689Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5689695Z 
2022-11-23T01:32:31.5690063Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*i1', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.5690134Z @triton.jit
2022-11-23T01:32:31.5690271Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5690346Z     xnumel = 5
2022-11-23T01:32:31.5690446Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5690578Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5690664Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5690737Z     x0 = xindex
2022-11-23T01:32:31.5690851Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5690924Z     tmp1 = x0
2022-11-23T01:32:31.5690995Z     tmp2 = 2
2022-11-23T01:32:31.5691074Z     tmp3 = tmp1 < tmp2
2022-11-23T01:32:31.5691146Z     tmp4 = 1
2022-11-23T01:32:31.5691226Z     tmp5 = tmp1 < tmp4
2022-11-23T01:32:31.5691299Z     tmp6 = 1.0
2022-11-23T01:32:31.5691401Z     tmp7 = float("inf")
2022-11-23T01:32:31.5691501Z     tmp8 = tl.where(tmp5, tmp6, tmp7)
2022-11-23T01:32:31.5691598Z     tmp9 = 3
2022-11-23T01:32:31.5691681Z     tmp10 = tmp1 < tmp9
2022-11-23T01:32:31.5691754Z     tmp11 = 2.0
2022-11-23T01:32:31.5691827Z     tmp12 = 4
2022-11-23T01:32:31.5691902Z     tmp13 = tmp1 < tmp12
2022-11-23T01:32:31.5692015Z     tmp14 = float("-inf")
2022-11-23T01:32:31.5692097Z     tmp15 = float("nan")
2022-11-23T01:32:31.5692200Z     tmp16 = tl.where(tmp13, tmp14, tmp15)
2022-11-23T01:32:31.5692300Z     tmp17 = tl.where(tmp10, tmp11, tmp16)
2022-11-23T01:32:31.5692398Z     tmp18 = tl.where(tmp3, tmp8, tmp17)
2022-11-23T01:32:31.5692481Z     tmp19 = tmp0 == tmp18
2022-11-23T01:32:31.5692613Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:31.5692700Z ''')
2022-11-23T01:32:31.5692705Z 
2022-11-23T01:32:31.5692710Z 
2022-11-23T01:32:31.5692806Z async_compile.wait(globals())
2022-11-23T01:32:31.5692885Z del async_compile
2022-11-23T01:32:31.5692890Z 
2022-11-23T01:32:31.5692969Z def call(args):
2022-11-23T01:32:31.5693046Z     arg0_1, = args
2022-11-23T01:32:31.5693123Z     args.clear()
2022-11-23T01:32:31.5693317Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5693402Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5693558Z     triton_fused_eq_lift_fresh_copy0.run(arg0_1, buf0, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5693633Z     del arg0_1
2022-11-23T01:32:31.5693709Z     return (buf0, )
2022-11-23T01:32:31.5693714Z 
2022-11-23T01:32:31.5693718Z 
2022-11-23T01:32:31.5693801Z if __name__ == "__main__":
2022-11-23T01:32:31.5693922Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5694051Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5694251Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5694358Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5694363Z 
2022-11-23T01:32:31.5694441Z ok (0.196s)
2022-11-23T01:32:31.5694746Z   test_isinf_cuda (__main__.CudaTests) ... [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5695068Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5695290Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5695550Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5695836Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5696160Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5696510Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5696831Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5697210Z [2022-11-23 01:29:51,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:31.5697312Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5697416Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:31.5697512Z                4 CALL_METHOD              0
2022-11-23T01:32:31.5697611Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5697710Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:31.5697808Z               10 CALL_METHOD              0
2022-11-23T01:32:31.5697928Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.5698033Z               14 RETURN_VALUE
2022-11-23T01:32:31.5698100Z  
2022-11-23T01:32:31.5698105Z 
2022-11-23T01:32:31.5698426Z [2022-11-23 01:29:51,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:31.5698646Z [2022-11-23 01:29:51,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5699012Z [2022-11-23 01:29:51,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:31.5699304Z [2022-11-23 01:29:51,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:31.5699544Z [2022-11-23 01:29:51,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.5699822Z [2022-11-23 01:29:51,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5700131Z [2022-11-23 01:29:51,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:31.5700402Z [2022-11-23 01:29:51,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5700653Z [2022-11-23 01:29:51,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5701037Z [2022-11-23 01:29:51,098] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:31.5701289Z [2022-11-23 01:29:51,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5701528Z [2022-11-23 01:29:51,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5701792Z [2022-11-23 01:29:51,099] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5702055Z [2022-11-23 01:29:51,102] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5702254Z [2022-11-23 01:29:51,102] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5702396Z  __compiled_fn_563 <eval_with_key>.3453 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5702484Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5702584Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:31.5702682Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:31.5702797Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:31.5702802Z 
2022-11-23T01:32:31.5703133Z [2022-11-23 01:29:51,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5703239Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5703335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5703425Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5703524Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5703618Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5703714Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5703798Z              12 RETURN_VALUE
2022-11-23T01:32:31.5703803Z 
2022-11-23T01:32:31.5703870Z  
2022-11-23T01:32:31.5704195Z [2022-11-23 01:29:51,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5704316Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_563)
2022-11-23T01:32:31.5704407Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5704505Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5704588Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5704759Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5704909Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5705019Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5705116Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5705191Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5705299Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5705395Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5705480Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5705574Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5705657Z              26 RETURN_VALUE
2022-11-23T01:32:31.5705663Z 
2022-11-23T01:32:31.5705729Z  
2022-11-23T01:32:31.5705919Z [2022-11-23 01:29:51,103] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5705989Z  - 
2022-11-23T01:32:31.5706118Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5706189Z             {
2022-11-23T01:32:31.5706340Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5706535Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5706663Z                 'obj_weakref': None
2022-11-23T01:32:31.5706891Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5706955Z             }
2022-11-23T01:32:31.5707024Z             
2022-11-23T01:32:31.5707100Z  - 
2022-11-23T01:32:31.5707230Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5707299Z             {
2022-11-23T01:32:31.5707446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5707552Z                 'code': None,
2022-11-23T01:32:31.5707769Z                 'obj_weakref': <weakref at 0x7f1fd9b76750; to 'Tensor' at 0x7f1fd9b74a90>
2022-11-23T01:32:31.5708021Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5708096Z             }
2022-11-23T01:32:31.5708166Z             
2022-11-23T01:32:31.5708246Z  - 
2022-11-23T01:32:31.5708381Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5708443Z             {
2022-11-23T01:32:31.5708583Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5708758Z                 'code': ['___check_obj_id(model, 139780074951520)'],
2022-11-23T01:32:31.5708880Z                 'obj_weakref': None
2022-11-23T01:32:31.5709111Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5709181Z             }
2022-11-23T01:32:31.5709251Z             
2022-11-23T01:32:31.5709320Z  - 
2022-11-23T01:32:31.5709448Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5709517Z             {
2022-11-23T01:32:31.5709659Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5709882Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5710009Z                 'obj_weakref': None
2022-11-23T01:32:31.5710234Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5710376Z             }
2022-11-23T01:32:31.5710443Z             
2022-11-23T01:32:31.5710713Z [2022-11-23 01:29:51,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 546
2022-11-23T01:32:31.5711014Z [2022-11-23 01:29:51,112] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5711379Z [2022-11-23 01:29:51,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctjppwsema4uz37pf2m4wkt5esl75whuq7jkem5qxdpdfznjaqrv.py
2022-11-23T01:32:31.5711649Z [2022-11-23 01:29:51,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 546
2022-11-23T01:32:31.5711893Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5712246Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5712494Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5712754Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5713030Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5713354Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5713701Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5714030Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5714407Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:31.5714509Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5714611Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:31.5714708Z                4 CALL_METHOD              0
2022-11-23T01:32:31.5714808Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5714902Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:31.5714996Z               10 CALL_METHOD              0
2022-11-23T01:32:31.5715093Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.5715175Z               14 RETURN_VALUE
2022-11-23T01:32:31.5715241Z  
2022-11-23T01:32:31.5715246Z 
2022-11-23T01:32:31.5715568Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:31.5715788Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5716037Z [2022-11-23 01:29:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:31.5716314Z [2022-11-23 01:29:51,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:31.5716555Z [2022-11-23 01:29:51,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.5716832Z [2022-11-23 01:29:51,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5717148Z [2022-11-23 01:29:51,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:31.5717423Z [2022-11-23 01:29:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5717678Z [2022-11-23 01:29:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5718059Z [2022-11-23 01:29:51,258] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:31.5718311Z [2022-11-23 01:29:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5718556Z [2022-11-23 01:29:51,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5718813Z [2022-11-23 01:29:51,259] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5719093Z [2022-11-23 01:29:51,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5719311Z [2022-11-23 01:29:51,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5719454Z  __compiled_fn_564 <eval_with_key>.3459 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5719550Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5719652Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:31.5719751Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:31.5719865Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:31.5719870Z 
2022-11-23T01:32:31.5720204Z [2022-11-23 01:29:51,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5720299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5720397Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5720490Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5720593Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5720689Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5720785Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5720867Z              12 RETURN_VALUE
2022-11-23T01:32:31.5720872Z 
2022-11-23T01:32:31.5720932Z  
2022-11-23T01:32:31.5721258Z [2022-11-23 01:29:51,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5721377Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_564)
2022-11-23T01:32:31.5721475Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5721579Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5721663Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5721756Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5721868Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5721976Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5722073Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5722160Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5722270Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5722366Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5722448Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5722542Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5722618Z              26 RETURN_VALUE
2022-11-23T01:32:31.5722623Z 
2022-11-23T01:32:31.5722691Z  
2022-11-23T01:32:31.5722881Z [2022-11-23 01:29:51,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5722957Z  - 
2022-11-23T01:32:31.5723084Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5723154Z             {
2022-11-23T01:32:31.5723302Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5723488Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5723616Z                 'obj_weakref': None
2022-11-23T01:32:31.5723846Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5723919Z             }
2022-11-23T01:32:31.5723989Z             
2022-11-23T01:32:31.5724065Z  - 
2022-11-23T01:32:31.5724194Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5724257Z             {
2022-11-23T01:32:31.5724407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5724520Z                 'code': None,
2022-11-23T01:32:31.5724740Z                 'obj_weakref': <weakref at 0x7f1feadc02c0; to 'Tensor' at 0x7f1ff814c040>
2022-11-23T01:32:31.5724994Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5725063Z             }
2022-11-23T01:32:31.5725131Z             
2022-11-23T01:32:31.5725200Z  - 
2022-11-23T01:32:31.5725335Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5725404Z             {
2022-11-23T01:32:31.5725578Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5725775Z                 'code': ['___check_obj_id(model, 139780074951520)'],
2022-11-23T01:32:31.5725900Z                 'obj_weakref': None
2022-11-23T01:32:31.5726130Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5726193Z             }
2022-11-23T01:32:31.5726264Z             
2022-11-23T01:32:31.5726342Z  - 
2022-11-23T01:32:31.5726470Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5726540Z             {
2022-11-23T01:32:31.5726680Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5726897Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5727013Z                 'obj_weakref': None
2022-11-23T01:32:31.5727234Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5727306Z             }
2022-11-23T01:32:31.5727375Z             
2022-11-23T01:32:31.5727642Z [2022-11-23 01:29:51,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 547
2022-11-23T01:32:31.5727938Z [2022-11-23 01:29:51,272] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5728301Z [2022-11-23 01:29:51,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zy/czywks5lu6ipnnsdlxvu7on6u2hkirpii62rkgymiwm5ico37tc7.py
2022-11-23T01:32:31.5728569Z [2022-11-23 01:29:51,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 547
2022-11-23T01:32:31.5728808Z [2022-11-23 01:29:51,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5729115Z [2022-11-23 01:29:51,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5729340Z [2022-11-23 01:29:51,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5729598Z [2022-11-23 01:29:51,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5729875Z [2022-11-23 01:29:51,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5730193Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5730533Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5730858Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5731230Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:31.5731336Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5731439Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:31.5731529Z                4 CALL_METHOD              0
2022-11-23T01:32:31.5731628Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5731728Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:31.5731823Z               10 CALL_METHOD              0
2022-11-23T01:32:31.5731920Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.5732006Z               14 RETURN_VALUE
2022-11-23T01:32:31.5732073Z  
2022-11-23T01:32:31.5732078Z 
2022-11-23T01:32:31.5732383Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:31.5732629Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5732894Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:31.5733173Z [2022-11-23 01:29:51,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:31.5733410Z [2022-11-23 01:29:51,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.5733682Z [2022-11-23 01:29:51,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5733988Z [2022-11-23 01:29:51,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:31.5734259Z [2022-11-23 01:29:51,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5734511Z [2022-11-23 01:29:51,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5734887Z [2022-11-23 01:29:51,408] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:31.5735132Z [2022-11-23 01:29:51,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5735373Z [2022-11-23 01:29:51,408] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5735632Z [2022-11-23 01:29:51,409] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5735887Z [2022-11-23 01:29:51,411] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5736085Z [2022-11-23 01:29:51,411] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5736232Z  __compiled_fn_565 <eval_with_key>.3465 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5736329Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5736430Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:31.5736523Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:31.5736638Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:31.5736643Z 
2022-11-23T01:32:31.5736980Z [2022-11-23 01:29:51,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5737084Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5737182Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5737278Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5737378Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5737471Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5737560Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5737645Z              12 RETURN_VALUE
2022-11-23T01:32:31.5737654Z 
2022-11-23T01:32:31.5737720Z  
2022-11-23T01:32:31.5738043Z [2022-11-23 01:29:51,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5738163Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_565)
2022-11-23T01:32:31.5738261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5738358Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5738441Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5738529Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5738641Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5738754Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5738973Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5739058Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5739210Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5739331Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5739407Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5739502Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5739584Z              26 RETURN_VALUE
2022-11-23T01:32:31.5739590Z 
2022-11-23T01:32:31.5739655Z  
2022-11-23T01:32:31.5739849Z [2022-11-23 01:29:51,412] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5739926Z  - 
2022-11-23T01:32:31.5740051Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5740114Z             {
2022-11-23T01:32:31.5740263Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5740455Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5740582Z                 'obj_weakref': None
2022-11-23T01:32:31.5740811Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5740883Z             }
2022-11-23T01:32:31.5740951Z             
2022-11-23T01:32:31.5741024Z  - 
2022-11-23T01:32:31.5741153Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5741222Z             {
2022-11-23T01:32:31.5741370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5741482Z                 'code': None,
2022-11-23T01:32:31.5741695Z                 'obj_weakref': <weakref at 0x7f201e3c16c0; to 'Tensor' at 0x7f1feadc0270>
2022-11-23T01:32:31.5741948Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5742011Z             }
2022-11-23T01:32:31.5742080Z             
2022-11-23T01:32:31.5742156Z  - 
2022-11-23T01:32:31.5742292Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5742361Z             {
2022-11-23T01:32:31.5742500Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5742674Z                 'code': ['___check_obj_id(model, 139780074951520)'],
2022-11-23T01:32:31.5742794Z                 'obj_weakref': None
2022-11-23T01:32:31.5743024Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5743094Z             }
2022-11-23T01:32:31.5743162Z             
2022-11-23T01:32:31.5743238Z  - 
2022-11-23T01:32:31.5743363Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5743433Z             {
2022-11-23T01:32:31.5743567Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5743784Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5743906Z                 'obj_weakref': None
2022-11-23T01:32:31.5744131Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5744200Z             }
2022-11-23T01:32:31.5744270Z             
2022-11-23T01:32:31.5744531Z [2022-11-23 01:29:51,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 548
2022-11-23T01:32:31.5744822Z [2022-11-23 01:29:51,421] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5745186Z [2022-11-23 01:29:51,551] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ng/cngluj3o7nowft3heghfy2tfiuplkt7mu2z7oc2ub3uezsgnzid4.py
2022-11-23T01:32:31.5745452Z [2022-11-23 01:29:51,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 548
2022-11-23T01:32:31.5745692Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5746008Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5746228Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5746512Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5746815Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5747138Z [2022-11-23 01:29:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5747487Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5747805Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5748184Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:31.5748288Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5748391Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:31.5748494Z                4 CALL_METHOD              0
2022-11-23T01:32:31.5748598Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5748699Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:31.5748794Z               10 CALL_METHOD              0
2022-11-23T01:32:31.5748883Z               12 BUILD_TUPLE              2
2022-11-23T01:32:31.5748967Z               14 RETURN_VALUE
2022-11-23T01:32:31.5749033Z  
2022-11-23T01:32:31.5749039Z 
2022-11-23T01:32:31.5749354Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:32:31.5749568Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5749816Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:31.5750097Z [2022-11-23 01:29:51,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:31.5750419Z [2022-11-23 01:29:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.5750714Z [2022-11-23 01:29:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5751013Z [2022-11-23 01:29:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:31.5751288Z [2022-11-23 01:29:51,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5751538Z [2022-11-23 01:29:51,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5751922Z [2022-11-23 01:29:51,558] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:31.5752176Z [2022-11-23 01:29:51,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5752416Z [2022-11-23 01:29:51,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5752676Z [2022-11-23 01:29:51,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5752929Z [2022-11-23 01:29:51,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5753122Z [2022-11-23 01:29:51,561] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5753264Z  __compiled_fn_566 <eval_with_key>.3471 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5753354Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5753456Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:31.5753586Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:31.5753730Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:31.5753736Z 
2022-11-23T01:32:31.5754064Z [2022-11-23 01:29:51,562] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5754165Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5754267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5754356Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5754456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5754550Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5754644Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5754727Z              12 RETURN_VALUE
2022-11-23T01:32:31.5754733Z 
2022-11-23T01:32:31.5754799Z  
2022-11-23T01:32:31.5755125Z [2022-11-23 01:29:51,562] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5755245Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_566)
2022-11-23T01:32:31.5755336Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5755437Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5755520Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5755613Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5755726Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5755838Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5755934Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5756011Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5756121Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5756217Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5756298Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5756396Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5756482Z              26 RETURN_VALUE
2022-11-23T01:32:31.5756487Z 
2022-11-23T01:32:31.5756552Z  
2022-11-23T01:32:31.5756741Z [2022-11-23 01:29:51,562] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5756810Z  - 
2022-11-23T01:32:31.5756937Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5757007Z             {
2022-11-23T01:32:31.5757152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5757345Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5757471Z                 'obj_weakref': None
2022-11-23T01:32:31.5757698Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5757762Z             }
2022-11-23T01:32:31.5757831Z             
2022-11-23T01:32:31.5757907Z  - 
2022-11-23T01:32:31.5758036Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5758106Z             {
2022-11-23T01:32:31.5758255Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5758363Z                 'code': None,
2022-11-23T01:32:31.5758579Z                 'obj_weakref': <weakref at 0x7f201e3c16c0; to 'Tensor' at 0x7f1feadc0270>
2022-11-23T01:32:31.5758829Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5758900Z             }
2022-11-23T01:32:31.5758971Z             
2022-11-23T01:32:31.5759048Z  - 
2022-11-23T01:32:31.5759189Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5759259Z             {
2022-11-23T01:32:31.5759393Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5759567Z                 'code': ['___check_obj_id(model, 139780074951520)'],
2022-11-23T01:32:31.5759692Z                 'obj_weakref': None
2022-11-23T01:32:31.5759922Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5760022Z             }
2022-11-23T01:32:31.5760093Z             
2022-11-23T01:32:31.5760188Z  - 
2022-11-23T01:32:31.5760307Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5760376Z             {
2022-11-23T01:32:31.5760518Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5760735Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5760857Z                 'obj_weakref': None
2022-11-23T01:32:31.5761081Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5761150Z             }
2022-11-23T01:32:31.5761212Z             
2022-11-23T01:32:31.5761479Z [2022-11-23 01:29:51,566] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 549
2022-11-23T01:32:31.5761772Z [2022-11-23 01:29:51,572] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5761778Z 
2022-11-23T01:32:31.5761881Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5761958Z import torch
2022-11-23T01:32:31.5762037Z import random
2022-11-23T01:32:31.5762159Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5762279Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5762294Z 
2022-11-23T01:32:31.5762372Z aten = torch.ops.aten
2022-11-23T01:32:31.5762515Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5762613Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5762618Z 
2022-11-23T01:32:31.5762693Z import triton
2022-11-23T01:32:31.5762787Z import triton.language as tl
2022-11-23T01:32:31.5762916Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5763061Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5763067Z 
2022-11-23T01:32:31.5763071Z 
2022-11-23T01:32:31.5763244Z triton_fused_isinf_isnan0 = async_compile.triton('''
2022-11-23T01:32:31.5763313Z import triton
2022-11-23T01:32:31.5763412Z import triton.language as tl
2022-11-23T01:32:31.5763531Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5763636Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5763772Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5763901Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5763907Z 
2022-11-23T01:32:31.5764297Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.5764365Z @triton.jit
2022-11-23T01:32:31.5764511Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5764586Z     xnumel = 5
2022-11-23T01:32:31.5764685Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5764821Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5764908Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5764980Z     x0 = xindex
2022-11-23T01:32:31.5765075Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5765174Z     tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:31.5765274Z     tmp2 = tl.libdevice.isnan(tmp0)
2022-11-23T01:32:31.5765411Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5765548Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5765634Z ''')
2022-11-23T01:32:31.5765640Z 
2022-11-23T01:32:31.5765644Z 
2022-11-23T01:32:31.5765742Z async_compile.wait(globals())
2022-11-23T01:32:31.5765821Z del async_compile
2022-11-23T01:32:31.5765827Z 
2022-11-23T01:32:31.5765896Z def call(args):
2022-11-23T01:32:31.5765973Z     arg0_1, = args
2022-11-23T01:32:31.5766050Z     args.clear()
2022-11-23T01:32:31.5766242Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5766459Z     buf1 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5766554Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5766726Z     triton_fused_isinf_isnan0.run(arg0_1, buf0, buf1, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5766794Z     del arg0_1
2022-11-23T01:32:31.5766877Z     return (buf0, buf1, )
2022-11-23T01:32:31.5766882Z 
2022-11-23T01:32:31.5766887Z 
2022-11-23T01:32:31.5766970Z if __name__ == "__main__":
2022-11-23T01:32:31.5767091Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5767219Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5767415Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5767530Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5767535Z 
2022-11-23T01:32:31.5767540Z 
2022-11-23T01:32:31.5767639Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5767714Z import torch
2022-11-23T01:32:31.5767783Z import random
2022-11-23T01:32:31.5767907Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5768033Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5768041Z 
2022-11-23T01:32:31.5768125Z aten = torch.ops.aten
2022-11-23T01:32:31.5768266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5768365Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5768370Z 
2022-11-23T01:32:31.5768445Z import triton
2022-11-23T01:32:31.5768532Z import triton.language as tl
2022-11-23T01:32:31.5768659Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5768802Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5768808Z 
2022-11-23T01:32:31.5768812Z 
2022-11-23T01:32:31.5768982Z triton_fused_isnan_isinf0 = async_compile.triton('''
2022-11-23T01:32:31.5769057Z import triton
2022-11-23T01:32:31.5769151Z import triton.language as tl
2022-11-23T01:32:31.5769267Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5769374Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5769503Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5769634Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5769639Z 
2022-11-23T01:32:31.5770022Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*i1', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.5770097Z @triton.jit
2022-11-23T01:32:31.5770244Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5770318Z     xnumel = 5
2022-11-23T01:32:31.5770418Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5770551Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5770629Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5770702Z     x0 = xindex
2022-11-23T01:32:31.5770821Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5770923Z     tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:31.5771024Z     tmp2 = tl.libdevice.isnan(tmp0)
2022-11-23T01:32:31.5771157Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5771292Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5771372Z ''')
2022-11-23T01:32:31.5771377Z 
2022-11-23T01:32:31.5771382Z 
2022-11-23T01:32:31.5771477Z async_compile.wait(globals())
2022-11-23T01:32:31.5771555Z del async_compile
2022-11-23T01:32:31.5771560Z 
2022-11-23T01:32:31.5771636Z def call(args):
2022-11-23T01:32:31.5771710Z     arg0_1, = args
2022-11-23T01:32:31.5771787Z     args.clear()
2022-11-23T01:32:31.5771974Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5772153Z     buf1 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5772245Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5772423Z     triton_fused_isnan_isinf0.run(arg0_1, buf0, buf1, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5772517Z     del arg0_1
2022-11-23T01:32:31.5772599Z     return (buf0, buf1, )
2022-11-23T01:32:31.5772605Z 
2022-11-23T01:32:31.5772609Z 
2022-11-23T01:32:31.5772692Z if __name__ == "__main__":
2022-11-23T01:32:31.5772812Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5772944Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5773135Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5773249Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5773254Z 
2022-11-23T01:32:31.5773259Z 
2022-11-23T01:32:31.5773358Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5773433Z import torch
2022-11-23T01:32:31.5773508Z import random
2022-11-23T01:32:31.5773631Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5773756Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5773761Z 
2022-11-23T01:32:31.5773848Z aten = torch.ops.aten
2022-11-23T01:32:31.5773981Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5774082Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5774087Z 
2022-11-23T01:32:31.5774162Z import triton
2022-11-23T01:32:31.5774256Z import triton.language as tl
2022-11-23T01:32:31.5774383Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5774524Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5774529Z 
2022-11-23T01:32:31.5774534Z 
2022-11-23T01:32:31.5774702Z triton_fused_isinf_isnan0 = async_compile.triton('''
2022-11-23T01:32:31.5774778Z import triton
2022-11-23T01:32:31.5774865Z import triton.language as tl
2022-11-23T01:32:31.5774981Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5775089Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5775225Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5775355Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5775360Z 
2022-11-23T01:32:31.5775739Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp64', 1: '*i1', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.5775813Z @triton.jit
2022-11-23T01:32:31.5775956Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5776024Z     xnumel = 5
2022-11-23T01:32:31.5776123Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5776255Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5776340Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5776413Z     x0 = xindex
2022-11-23T01:32:31.5776511Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5776611Z     tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:31.5776702Z     tmp2 = tl.libdevice.isnan(tmp0)
2022-11-23T01:32:31.5776841Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5776978Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5777067Z ''')
2022-11-23T01:32:31.5777072Z 
2022-11-23T01:32:31.5777076Z 
2022-11-23T01:32:31.5777171Z async_compile.wait(globals())
2022-11-23T01:32:31.5777249Z del async_compile
2022-11-23T01:32:31.5777254Z 
2022-11-23T01:32:31.5777329Z def call(args):
2022-11-23T01:32:31.5777405Z     arg0_1, = args
2022-11-23T01:32:31.5777475Z     args.clear()
2022-11-23T01:32:31.5777665Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5777849Z     buf1 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5777941Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5778093Z     triton_fused_isinf_isnan0.run(arg0_1, buf0, buf1, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5778166Z     del arg0_1
2022-11-23T01:32:31.5778249Z     return (buf0, buf1, )
2022-11-23T01:32:31.5778255Z 
2022-11-23T01:32:31.5778291Z 
2022-11-23T01:32:31.5778368Z if __name__ == "__main__":
2022-11-23T01:32:31.5778508Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5778634Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5778940Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.5779056Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5779061Z 
2022-11-23T01:32:31.5779425Z [2022-11-23 01:29:51,574] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ng/cngluj3o7nowft3heghfy2tfiuplkt7mu2z7oc2ub3uezsgnzid4.py
2022-11-23T01:32:31.5779692Z [2022-11-23 01:29:51,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 549
2022-11-23T01:32:31.5779698Z 
2022-11-23T01:32:31.5779795Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5779869Z import torch
2022-11-23T01:32:31.5779938Z import random
2022-11-23T01:32:31.5780062Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5780191Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5780200Z 
2022-11-23T01:32:31.5780280Z aten = torch.ops.aten
2022-11-23T01:32:31.5780419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5780518Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5780523Z 
2022-11-23T01:32:31.5780599Z import triton
2022-11-23T01:32:31.5780685Z import triton.language as tl
2022-11-23T01:32:31.5780812Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5780955Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5780960Z 
2022-11-23T01:32:31.5780965Z 
2022-11-23T01:32:31.5781135Z triton_fused_isinf_isnan0 = async_compile.triton('''
2022-11-23T01:32:31.5781211Z import triton
2022-11-23T01:32:31.5781305Z import triton.language as tl
2022-11-23T01:32:31.5781419Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5781522Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5781652Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5781781Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5781787Z 
2022-11-23T01:32:31.5782159Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp64', 1: '*i1', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.5782235Z @triton.jit
2022-11-23T01:32:31.5782380Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5782453Z     xnumel = 5
2022-11-23T01:32:31.5782552Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5782685Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5782763Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5782834Z     x0 = xindex
2022-11-23T01:32:31.5782933Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5783031Z     tmp1 = tl.libdevice.isinf(tmp0)
2022-11-23T01:32:31.5783132Z     tmp2 = tl.libdevice.isnan(tmp0)
2022-11-23T01:32:31.5783269Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.5783403Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.5783482Z ''')
2022-11-23T01:32:31.5783487Z 
2022-11-23T01:32:31.5783493Z 
2022-11-23T01:32:31.5783588Z async_compile.wait(globals())
2022-11-23T01:32:31.5783666Z del async_compile
2022-11-23T01:32:31.5783672Z 
2022-11-23T01:32:31.5783745Z def call(args):
2022-11-23T01:32:31.5783820Z     arg0_1, = args
2022-11-23T01:32:31.5783896Z     args.clear()
2022-11-23T01:32:31.5784082Z     buf0 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5784259Z     buf1 = empty_strided((5, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.5784352Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5784505Z     triton_fused_isinf_isnan0.run(arg0_1, buf0, buf1, 5, grid=grid(5), stream=stream0)
2022-11-23T01:32:31.5784631Z     del arg0_1
2022-11-23T01:32:31.5784763Z     return (buf0, buf1, )
2022-11-23T01:32:31.5784769Z 
2022-11-23T01:32:31.5784773Z 
2022-11-23T01:32:31.5784855Z if __name__ == "__main__":
2022-11-23T01:32:31.5784976Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5785104Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5785295Z     arg0_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.5785409Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5785414Z 
2022-11-23T01:32:31.5785487Z ok (0.483s)
2022-11-23T01:32:31.5785653Z   test_kwargs_cuda (__main__.CudaTests) ... skip: histogramdd only supports cpu (0.000s)
2022-11-23T01:32:31.5785959Z   test_l1_loss_cuda (__main__.CudaTests) ... [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5786277Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5786501Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5786758Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5787045Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5787356Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5787699Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5788027Z [2022-11-23 01:29:51,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5788403Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147> 
2022-11-23T01:32:31.5788513Z  3148           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5788614Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.5788724Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.5788828Z                6 LOAD_METHOD              3 (l1_loss)
2022-11-23T01:32:31.5788925Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5789016Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5789112Z               12 CALL_METHOD              2
2022-11-23T01:32:31.5789213Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.5789310Z               16 LOAD_ATTR                1 (nn)
2022-11-23T01:32:31.5789422Z               18 LOAD_ATTR                2 (functional)
2022-11-23T01:32:31.5789528Z               20 LOAD_METHOD              4 (mse_loss)
2022-11-23T01:32:31.5789627Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:31.5789716Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:31.5789811Z               26 CALL_METHOD              2
2022-11-23T01:32:31.5789906Z               28 BUILD_TUPLE              2
2022-11-23T01:32:31.5789989Z               30 RETURN_VALUE
2022-11-23T01:32:31.5790055Z  
2022-11-23T01:32:31.5790061Z 
2022-11-23T01:32:31.5790463Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3148
2022-11-23T01:32:31.5790715Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.5791118Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5791495Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.5791913Z [2022-11-23 01:29:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.5792209Z [2022-11-23 01:29:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function l1_loss at 0x7f2073d245e0>)]
2022-11-23T01:32:31.5792526Z [2022-11-23 01:29:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function l1_loss at 0x7f2073d245e0>), TensorVariable()]
2022-11-23T01:32:31.5792878Z [2022-11-23 01:29:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function l1_loss at 0x7f2073d245e0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5793132Z [2022-11-23 01:29:51,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.5793524Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.5793925Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:31.5794359Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.5794678Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>)]
2022-11-23T01:32:31.5795024Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>), TensorVariable()]
2022-11-23T01:32:31.5795397Z [2022-11-23 01:29:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function mse_loss at 0x7f2073d24700>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5795669Z [2022-11-23 01:29:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5795917Z [2022-11-23 01:29:51,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5796290Z [2022-11-23 01:29:51,586] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147>
2022-11-23T01:32:31.5796543Z [2022-11-23 01:29:51,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5796785Z [2022-11-23 01:29:51,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5797045Z [2022-11-23 01:29:51,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5797301Z [2022-11-23 01:29:51,591] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5797495Z [2022-11-23 01:29:51,591] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5797641Z  __compiled_fn_567 <eval_with_key>.3477 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5797737Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5797832Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.5797971Z call_function, l1_loss, <function l1_loss at 0x7f2073d245e0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.5798145Z call_function, mse_loss, <function mse_loss at 0x7f2073d24700>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.5798295Z output, output, output, ((l1_loss, mse_loss),), {}
2022-11-23T01:32:31.5798300Z 
2022-11-23T01:32:31.5798632Z [2022-11-23 01:29:51,591] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5798734Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5798832Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5798927Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5799028Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5799114Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5799209Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5799292Z              12 RETURN_VALUE
2022-11-23T01:32:31.5799297Z 
2022-11-23T01:32:31.5799362Z  
2022-11-23T01:32:31.5799684Z [2022-11-23 01:29:51,592] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5799806Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_567)
2022-11-23T01:32:31.5799903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5799994Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5800078Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5800176Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5800272Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5800354Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.5800449Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.5800561Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5800665Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5800763Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5800846Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5800957Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5801055Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5801137Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.5801233Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.5801316Z              32 RETURN_VALUE
2022-11-23T01:32:31.5801321Z 
2022-11-23T01:32:31.5801380Z  
2022-11-23T01:32:31.5801570Z [2022-11-23 01:29:51,592] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5801647Z  - 
2022-11-23T01:32:31.5801773Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5801843Z             {
2022-11-23T01:32:31.5801990Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5802183Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.5802302Z                 'obj_weakref': None
2022-11-23T01:32:31.5802532Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5802604Z             }
2022-11-23T01:32:31.5802674Z             
2022-11-23T01:32:31.5802752Z  - 
2022-11-23T01:32:31.5802882Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5802953Z             {
2022-11-23T01:32:31.5803094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5803210Z                 'code': None,
2022-11-23T01:32:31.5803425Z                 'obj_weakref': <weakref at 0x7f1fe8134fe0; to 'Tensor' at 0x7f20230d6110>
2022-11-23T01:32:31.5803676Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5803746Z             }
2022-11-23T01:32:31.5803816Z             
2022-11-23T01:32:31.5803891Z  - 
2022-11-23T01:32:31.5804013Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.5804082Z             {
2022-11-23T01:32:31.5804230Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5804342Z                 'code': None,
2022-11-23T01:32:31.5804587Z                 'obj_weakref': <weakref at 0x7f2068174db0; to 'Tensor' at 0x7f20230d4900>
2022-11-23T01:32:31.5804884Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5804954Z             }
2022-11-23T01:32:31.5805016Z             
2022-11-23T01:32:31.5805093Z  - 
2022-11-23T01:32:31.5805229Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5805299Z             {
2022-11-23T01:32:31.5805443Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5805616Z                 'code': ['___check_obj_id(model, 139780074951520)'],
2022-11-23T01:32:31.5805741Z                 'obj_weakref': None
2022-11-23T01:32:31.5805964Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5806034Z             }
2022-11-23T01:32:31.5806101Z             
2022-11-23T01:32:31.5806177Z  - 
2022-11-23T01:32:31.5806305Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5806376Z             {
2022-11-23T01:32:31.5806519Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5806733Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5806857Z                 'obj_weakref': None
2022-11-23T01:32:31.5807081Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5807150Z             }
2022-11-23T01:32:31.5807219Z             
2022-11-23T01:32:31.5807294Z  - 
2022-11-23T01:32:31.5807432Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.5807495Z             {
2022-11-23T01:32:31.5807621Z                 'guard_types': None,
2022-11-23T01:32:31.5807734Z                 'code': None,
2022-11-23T01:32:31.5807856Z                 'obj_weakref': None
2022-11-23T01:32:31.5807984Z                 'guarded_class': None
2022-11-23T01:32:31.5808055Z             }
2022-11-23T01:32:31.5808117Z             
2022-11-23T01:32:31.5808386Z [2022-11-23 01:29:51,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 550
2022-11-23T01:32:31.5808975Z [2022-11-23 01:29:51,617] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.5809340Z [2022-11-23 01:29:51,806] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oa/coalvowbjvq4aoawzvom7rensql472f3pn66goi4twdzqgclses3.py
2022-11-23T01:32:31.5809606Z [2022-11-23 01:29:51,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 550
2022-11-23T01:32:31.5809612Z 
2022-11-23T01:32:31.5809711Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5809786Z import torch
2022-11-23T01:32:31.5809862Z import random
2022-11-23T01:32:31.5809985Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5810108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5810123Z 
2022-11-23T01:32:31.5810200Z aten = torch.ops.aten
2022-11-23T01:32:31.5810341Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5810441Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5810446Z 
2022-11-23T01:32:31.5810524Z import triton
2022-11-23T01:32:31.5810618Z import triton.language as tl
2022-11-23T01:32:31.5810746Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5810891Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5810896Z 
2022-11-23T01:32:31.5810901Z 
2022-11-23T01:32:31.5811104Z triton_fused_sub_sub_1_abs_1_pow_1_mean_mean_10 = async_compile.triton('''
2022-11-23T01:32:31.5811174Z import triton
2022-11-23T01:32:31.5811267Z import triton.language as tl
2022-11-23T01:32:31.5811383Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5811487Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5811653Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.5811800Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5811805Z 
2022-11-23T01:32:31.5811900Z @reduction(size_hints=[1, 2048],
2022-11-23T01:32:31.5812011Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.5812098Z               filename=__file__,
2022-11-23T01:32:31.5812458Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 5), equal_to_1=())]})
2022-11-23T01:32:31.5812533Z @triton.jit
2022-11-23T01:32:31.5812729Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, in_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.5812804Z     xnumel = 1
2022-11-23T01:32:31.5812883Z     rnumel = 1536
2022-11-23T01:32:31.5812982Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5813116Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.5813204Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5813327Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.5813450Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.5813568Z     _tmp6 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.5813675Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.5813767Z         rindex = roffset + rbase
2022-11-23T01:32:31.5813848Z         rmask = rindex < rnumel
2022-11-23T01:32:31.5813921Z         r0 = rindex
2022-11-23T01:32:31.5814123Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5814324Z         tmp1 = tl.load(in_ptr1 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5814442Z         tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.5814525Z         tmp3 = tl.abs(tmp2)
2022-11-23T01:32:31.5814654Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:31.5814730Z         tmp5 = tmp2 * tmp2
2022-11-23T01:32:31.5814858Z         _tmp6 = tl.where(xmask & rmask, _tmp6 + tmp5, _tmp6)
2022-11-23T01:32:31.5814976Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:31.5815091Z     tmp6 = tl.reshape(tl.sum(_tmp6, 1), [XBLOCK, 1])
2022-11-23T01:32:31.5815165Z     tmp7 = 1536
2022-11-23T01:32:31.5815247Z     tmp8 = tmp4 / tmp7
2022-11-23T01:32:31.5815329Z     tmp9 = tmp6 / tmp7
2022-11-23T01:32:31.5815466Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp8, None)
2022-11-23T01:32:31.5815605Z     tl.store(in_out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp9, None)
2022-11-23T01:32:31.5815692Z ''')
2022-11-23T01:32:31.5815697Z 
2022-11-23T01:32:31.5815702Z 
2022-11-23T01:32:31.5815796Z async_compile.wait(globals())
2022-11-23T01:32:31.5815875Z del async_compile
2022-11-23T01:32:31.5815880Z 
2022-11-23T01:32:31.5815955Z def call(args):
2022-11-23T01:32:31.5816039Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.5816118Z     args.clear()
2022-11-23T01:32:31.5816305Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5816489Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5816583Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:31.5816673Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:31.5816766Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5816948Z     triton_fused_sub_sub_1_abs_1_pow_1_mean_mean_10.run(buf2, buf3, arg0_1, arg1_1, 1, 1536, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.5817023Z     del arg0_1
2022-11-23T01:32:31.5817090Z     del arg1_1
2022-11-23T01:32:31.5817178Z     return (buf2, buf3, )
2022-11-23T01:32:31.5817183Z 
2022-11-23T01:32:31.5817188Z 
2022-11-23T01:32:31.5817271Z if __name__ == "__main__":
2022-11-23T01:32:31.5817396Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5817529Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5817783Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5818023Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5818146Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.5818152Z 
2022-11-23T01:32:31.5818218Z ok (0.231s)
2022-11-23T01:32:31.5818530Z   test_layer_norm_cuda (__main__.CudaTests) ... [2022-11-23 01:29:51,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5818973Z [2022-11-23 01:29:51,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5819201Z [2022-11-23 01:29:51,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5819458Z [2022-11-23 01:29:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.5819737Z [2022-11-23 01:29:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.5820056Z [2022-11-23 01:29:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5820394Z [2022-11-23 01:29:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5820710Z [2022-11-23 01:29:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5820963Z [2022-11-23 01:29:51,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.5821196Z [2022-11-23 01:29:51,816] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5821458Z [2022-11-23 01:29:51,817] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5821723Z [2022-11-23 01:29:51,822] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5821916Z [2022-11-23 01:29:51,823] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5822062Z  __compiled_fn_568 <eval_with_key>.3483 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5822157Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5822267Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.5822380Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.5822479Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.5822484Z 
2022-11-23T01:32:31.5822812Z [2022-11-23 01:29:51,823] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5822915Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5823020Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5823121Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5823222Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5823317Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5823413Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5823489Z              12 RETURN_VALUE
2022-11-23T01:32:31.5823494Z 
2022-11-23T01:32:31.5823561Z  
2022-11-23T01:32:31.5823880Z [2022-11-23 01:29:51,823] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5824001Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_568)
2022-11-23T01:32:31.5824099Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5824196Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5824278Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5824366Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5824506Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.5824611Z              12 RETURN_VALUE
2022-11-23T01:32:31.5824616Z 
2022-11-23T01:32:31.5824682Z  
2022-11-23T01:32:31.5824874Z [2022-11-23 01:29:51,824] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5824951Z  - 
2022-11-23T01:32:31.5825076Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5825140Z             {
2022-11-23T01:32:31.5825292Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5825483Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5825607Z                 'obj_weakref': None
2022-11-23T01:32:31.5825833Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5825904Z             }
2022-11-23T01:32:31.5825972Z             
2022-11-23T01:32:31.5826049Z  - 
2022-11-23T01:32:31.5826172Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5826244Z             {
2022-11-23T01:32:31.5826392Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5826509Z                 'code': None,
2022-11-23T01:32:31.5826724Z                 'obj_weakref': <weakref at 0x7f201e6f8f40; to 'Tensor' at 0x7f1feadc0270>
2022-11-23T01:32:31.5826972Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5827043Z             }
2022-11-23T01:32:31.5827106Z             
2022-11-23T01:32:31.5827184Z  - 
2022-11-23T01:32:31.5827310Z             local 'model' NN_MODULE
2022-11-23T01:32:31.5827379Z             {
2022-11-23T01:32:31.5827521Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5827699Z                 'code': ['___check_obj_id(model, 139776002006016)'],
2022-11-23T01:32:31.5827925Z                 'obj_weakref': <weakref at 0x7f1ff8141d00; to 'Sequential' at 0x7f2022f29c00>
2022-11-23T01:32:31.5828161Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.5828234Z             }
2022-11-23T01:32:31.5828303Z             
2022-11-23T01:32:31.5828380Z  - 
2022-11-23T01:32:31.5828509Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5828578Z             {
2022-11-23T01:32:31.5828721Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5828937Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5829062Z                 'obj_weakref': None
2022-11-23T01:32:31.5829286Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5829356Z             }
2022-11-23T01:32:31.5829424Z             
2022-11-23T01:32:31.5829500Z  - 
2022-11-23T01:32:31.5829652Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.5829715Z             {
2022-11-23T01:32:31.5829840Z                 'guard_types': None,
2022-11-23T01:32:31.5829955Z                 'code': None,
2022-11-23T01:32:31.5830078Z                 'obj_weakref': None
2022-11-23T01:32:31.5830209Z                 'guarded_class': None
2022-11-23T01:32:31.5830352Z             }
2022-11-23T01:32:31.5830426Z             
2022-11-23T01:32:31.5830504Z  - 
2022-11-23T01:32:31.5830654Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.5830722Z             {
2022-11-23T01:32:31.5830850Z                 'guard_types': None,
2022-11-23T01:32:31.5830964Z                 'code': None,
2022-11-23T01:32:31.5831086Z                 'obj_weakref': None
2022-11-23T01:32:31.5831205Z                 'guarded_class': None
2022-11-23T01:32:31.5831274Z             }
2022-11-23T01:32:31.5831343Z             
2022-11-23T01:32:31.5831607Z [2022-11-23 01:29:51,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 551
2022-11-23T01:32:31.5832521Z [2022-11-23 01:29:51,891] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5')]
2022-11-23T01:32:31.5832756Z [2022-11-23 01:29:51,896] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.5833113Z [2022-11-23 01:29:52,129] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w4/cw4iufuq6yyln2szw4yfmh3wmjvuoy4cpel6hq3lxyhfnkbbyngj.py
2022-11-23T01:32:31.5833378Z [2022-11-23 01:29:52,129] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 551
2022-11-23T01:32:31.5833384Z 
2022-11-23T01:32:31.5833485Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5833561Z import torch
2022-11-23T01:32:31.5833630Z import random
2022-11-23T01:32:31.5833755Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5833882Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5833890Z 
2022-11-23T01:32:31.5833975Z aten = torch.ops.aten
2022-11-23T01:32:31.5834116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5834215Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5834220Z 
2022-11-23T01:32:31.5834296Z import triton
2022-11-23T01:32:31.5834385Z import triton.language as tl
2022-11-23T01:32:31.5834515Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5834659Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5834665Z 
2022-11-23T01:32:31.5834670Z 
2022-11-23T01:32:31.5834909Z triton_fused_relu_var_mean_reciprocal_add_1_mul_1_sub_sqrt_add_mul0 = async_compile.triton('''
2022-11-23T01:32:31.5834985Z import triton
2022-11-23T01:32:31.5835081Z import triton.language as tl
2022-11-23T01:32:31.5835198Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5835303Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5835437Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.5835566Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5835571Z 
2022-11-23T01:32:31.5835663Z @reduction(size_hints=[16, 32],
2022-11-23T01:32:31.5835780Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.5835869Z               filename=__file__,
2022-11-23T01:32:31.5836262Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: 'i32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7), equal_to_1=())]})
2022-11-23T01:32:31.5836337Z @triton.jit
2022-11-23T01:32:31.5836546Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, in_ptr1, in_ptr2, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.5836615Z     xnumel = 16
2022-11-23T01:32:31.5836689Z     rnumel = 32
2022-11-23T01:32:31.5836792Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5836937Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.5837022Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5837146Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.5837220Z     x0 = xindex
2022-11-23T01:32:31.5837334Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.5837447Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.5837537Z         rindex = roffset + rbase
2022-11-23T01:32:31.5837624Z         rmask = rindex < rnumel
2022-11-23T01:32:31.5837699Z         r1 = rindex
2022-11-23T01:32:31.5837926Z         tmp0 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5838050Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.5838161Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.5838312Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.5838451Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.5838559Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.5838650Z         rindex = roffset + rbase
2022-11-23T01:32:31.5838740Z         rmask = rindex < rnumel
2022-11-23T01:32:31.5838815Z         r1 = rindex
2022-11-23T01:32:31.5839035Z         tmp2 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5839108Z         tmp3 = 32
2022-11-23T01:32:31.5839191Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:31.5839311Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:31.5839394Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:31.5839520Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.5839641Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:31.5839749Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.5839863Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:31.5839937Z     tmp9 = 32
2022-11-23T01:32:31.5840018Z     tmp10 = tmp8 / tmp9
2022-11-23T01:32:31.5840098Z     tmp11 = tmp7 / tmp9
2022-11-23T01:32:31.5840202Z     tmp12 = 1e-05
2022-11-23T01:32:31.5840283Z     tmp13 = tmp11 + tmp12
2022-11-23T01:32:31.5840362Z     tmp14 = tl.sqrt(tmp13)
2022-11-23T01:32:31.5840439Z     tmp15 = 1 / tmp14
2022-11-23T01:32:31.5840583Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.5840726Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.5840834Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.5840924Z         rindex = roffset + rbase
2022-11-23T01:32:31.5841011Z         rmask = rindex < rnumel
2022-11-23T01:32:31.5841076Z         r1 = rindex
2022-11-23T01:32:31.5841300Z         tmp16 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5841502Z         tmp19 = tl.load(in_ptr1 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5841701Z         tmp21 = tl.load(in_ptr2 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.5841819Z         tmp17 = tmp16 - tmp10
2022-11-23T01:32:31.5841904Z         tmp18 = tmp17 * tmp15
2022-11-23T01:32:31.5841987Z         tmp20 = tmp18 * tmp19
2022-11-23T01:32:31.5842069Z         tmp22 = tmp20 + tmp21
2022-11-23T01:32:31.5842155Z         tmp23 = tl.maximum(0, tmp22)
2022-11-23T01:32:31.5842315Z         tl.store(out_ptr1 + (r1 + (32*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp23, xmask & rmask)
2022-11-23T01:32:31.5842401Z ''')
2022-11-23T01:32:31.5842407Z 
2022-11-23T01:32:31.5842411Z 
2022-11-23T01:32:31.5842504Z async_compile.wait(globals())
2022-11-23T01:32:31.5842581Z del async_compile
2022-11-23T01:32:31.5842586Z 
2022-11-23T01:32:31.5842661Z def call(args):
2022-11-23T01:32:31.5842769Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.5842839Z     args.clear()
2022-11-23T01:32:31.5843044Z     buf1 = empty_strided((16, 1), (1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5843249Z     buf2 = empty_strided((16, 1), (1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5843342Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:31.5843432Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:32:31.5843633Z     buf5 = empty_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5843725Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5843950Z     triton_fused_relu_var_mean_reciprocal_add_1_mul_1_sub_sqrt_add_mul0.run(buf3, buf4, primals_3, primals_1, primals_2, buf5, 16, 32, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.5844073Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2022-11-23T01:32:31.5844086Z 
2022-11-23T01:32:31.5844091Z 
2022-11-23T01:32:31.5844165Z if __name__ == "__main__":
2022-11-23T01:32:31.5844287Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5844449Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5844682Z     primals_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5844885Z     primals_2 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5845096Z     primals_3 = rand_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5845244Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.5845249Z 
2022-11-23T01:32:31.5845322Z ok (0.323s)
2022-11-23T01:32:31.5845630Z   test_leaky_relu_cuda (__main__.CudaTests) ... [2022-11-23 01:29:52,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5845951Z [2022-11-23 01:29:52,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5846176Z [2022-11-23 01:29:52,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5846437Z [2022-11-23 01:29:52,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5846723Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5847045Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5847387Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5847713Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5848087Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429> 
2022-11-23T01:32:31.5848194Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5848298Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:31.5848398Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5848497Z                6 LOAD_CONST               1 (0.2)
2022-11-23T01:32:31.5848593Z                8 CALL_METHOD              2
2022-11-23T01:32:31.5848694Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:31.5848775Z               12 BINARY_ADD
2022-11-23T01:32:31.5848877Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5848978Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:31.5849076Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5849174Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.5849254Z               22 BINARY_ADD
2022-11-23T01:32:31.5849353Z               24 CALL_METHOD              1
2022-11-23T01:32:31.5849451Z               26 BUILD_TUPLE              2
2022-11-23T01:32:31.5849535Z               28 RETURN_VALUE
2022-11-23T01:32:31.5849595Z  
2022-11-23T01:32:31.5849601Z 
2022-11-23T01:32:31.5849918Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430
2022-11-23T01:32:31.5850139Z [2022-11-23 01:29:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5850457Z [2022-11-23 01:29:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5850725Z [2022-11-23 01:29:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:31.5851018Z [2022-11-23 01:29:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5851384Z [2022-11-23 01:29:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5851650Z [2022-11-23 01:29:52,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5851936Z [2022-11-23 01:29:52,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5852189Z [2022-11-23 01:29:52,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.5852526Z [2022-11-23 01:29:52,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5852819Z [2022-11-23 01:29:52,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:31.5853144Z [2022-11-23 01:29:52,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5853508Z [2022-11-23 01:29:52,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5853830Z [2022-11-23 01:29:52,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5854102Z [2022-11-23 01:29:52,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5854353Z [2022-11-23 01:29:52,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5854738Z [2022-11-23 01:29:52,151] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429>
2022-11-23T01:32:31.5854989Z [2022-11-23 01:29:52,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5855231Z [2022-11-23 01:29:52,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5855491Z [2022-11-23 01:29:52,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5855741Z [2022-11-23 01:29:52,157] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5855935Z [2022-11-23 01:29:52,157] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5856079Z  __compiled_fn_569 <eval_with_key>.3494 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5856176Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5856308Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T01:32:31.5856498Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T01:32:31.5856682Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5856816Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T01:32:31.5856929Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T01:32:31.5856934Z 
2022-11-23T01:32:31.5857268Z [2022-11-23 01:29:52,158] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5857370Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5857469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5857563Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5857663Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5857756Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5857845Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5857928Z              12 RETURN_VALUE
2022-11-23T01:32:31.5857933Z 
2022-11-23T01:32:31.5858026Z  
2022-11-23T01:32:31.5858355Z [2022-11-23 01:29:52,158] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5858496Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_569)
2022-11-23T01:32:31.5858595Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5858693Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5858778Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5858975Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5859090Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5859203Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5859301Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5859387Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5859497Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5859596Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5859672Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5859770Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5859853Z              26 RETURN_VALUE
2022-11-23T01:32:31.5859858Z 
2022-11-23T01:32:31.5859924Z  
2022-11-23T01:32:31.5860119Z [2022-11-23 01:29:52,158] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5860196Z  - 
2022-11-23T01:32:31.5860323Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5860386Z             {
2022-11-23T01:32:31.5860534Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5860727Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5860854Z                 'obj_weakref': None
2022-11-23T01:32:31.5861084Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5861155Z             }
2022-11-23T01:32:31.5861223Z             
2022-11-23T01:32:31.5861292Z  - 
2022-11-23T01:32:31.5861427Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5861499Z             {
2022-11-23T01:32:31.5861652Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5861767Z                 'code': None,
2022-11-23T01:32:31.5861983Z                 'obj_weakref': <weakref at 0x7f2068051ee0; to 'Tensor' at 0x7f20607964d0>
2022-11-23T01:32:31.5862238Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5862309Z             }
2022-11-23T01:32:31.5862372Z             
2022-11-23T01:32:31.5862448Z  - 
2022-11-23T01:32:31.5862588Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5862655Z             {
2022-11-23T01:32:31.5862799Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5862977Z                 'code': ['___check_obj_id(model, 139780374682720)'],
2022-11-23T01:32:31.5863095Z                 'obj_weakref': None
2022-11-23T01:32:31.5863331Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5863403Z             }
2022-11-23T01:32:31.5863472Z             
2022-11-23T01:32:31.5863549Z  - 
2022-11-23T01:32:31.5863677Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5863747Z             {
2022-11-23T01:32:31.5863883Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5864105Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5864228Z                 'obj_weakref': None
2022-11-23T01:32:31.5864455Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5864525Z             }
2022-11-23T01:32:31.5864595Z             
2022-11-23T01:32:31.5864671Z  - 
2022-11-23T01:32:31.5864802Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5864871Z             {
2022-11-23T01:32:31.5864998Z                 'guard_types': None,
2022-11-23T01:32:31.5865167Z                 'code': None,
2022-11-23T01:32:31.5865293Z                 'obj_weakref': None
2022-11-23T01:32:31.5865449Z                 'guarded_class': None
2022-11-23T01:32:31.5865519Z             }
2022-11-23T01:32:31.5865581Z             
2022-11-23T01:32:31.5865849Z [2022-11-23 01:29:52,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 552
2022-11-23T01:32:31.5866150Z [2022-11-23 01:29:52,181] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5866523Z [2022-11-23 01:29:52,257] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sp/cspfawvid4eeyocvra5neoob6fxfuvh7ewbnmcne3kqecc3evr4j.py
2022-11-23T01:32:31.5866795Z [2022-11-23 01:29:52,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 552
2022-11-23T01:32:31.5867039Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5867362Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5867594Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5867851Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5868127Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5868450Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5868796Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5869118Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5869492Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429> 
2022-11-23T01:32:31.5869595Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5869704Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:31.5869804Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5869903Z                6 LOAD_CONST               1 (0.2)
2022-11-23T01:32:31.5869993Z                8 CALL_METHOD              2
2022-11-23T01:32:31.5870091Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:31.5870171Z               12 BINARY_ADD
2022-11-23T01:32:31.5870342Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5870460Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:31.5870559Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5870660Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.5870739Z               22 BINARY_ADD
2022-11-23T01:32:31.5870828Z               24 CALL_METHOD              1
2022-11-23T01:32:31.5870923Z               26 BUILD_TUPLE              2
2022-11-23T01:32:31.5871007Z               28 RETURN_VALUE
2022-11-23T01:32:31.5871075Z  
2022-11-23T01:32:31.5871081Z 
2022-11-23T01:32:31.5871396Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430
2022-11-23T01:32:31.5871616Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5871928Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5872228Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:31.5872536Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5872871Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.5873117Z [2022-11-23 01:29:52,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5873406Z [2022-11-23 01:29:52,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5873655Z [2022-11-23 01:29:52,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.5874001Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5874295Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:31.5874614Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5874973Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5875296Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:31.5875568Z [2022-11-23 01:29:52,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5875815Z [2022-11-23 01:29:52,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5876199Z [2022-11-23 01:29:52,276] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429>
2022-11-23T01:32:31.5876450Z [2022-11-23 01:29:52,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5876691Z [2022-11-23 01:29:52,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5876947Z [2022-11-23 01:29:52,278] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5877208Z [2022-11-23 01:29:52,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5877403Z [2022-11-23 01:29:52,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5877551Z  __compiled_fn_570 <eval_with_key>.3500 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5877646Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5877773Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T01:32:31.5877965Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T01:32:31.5878147Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5878276Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T01:32:31.5878394Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T01:32:31.5878400Z 
2022-11-23T01:32:31.5878729Z [2022-11-23 01:29:52,282] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5878831Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5878930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5879018Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5879153Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5879266Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5879361Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5879443Z              12 RETURN_VALUE
2022-11-23T01:32:31.5879449Z 
2022-11-23T01:32:31.5879514Z  
2022-11-23T01:32:31.5879839Z [2022-11-23 01:29:52,282] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5879950Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_570)
2022-11-23T01:32:31.5880048Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5880147Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5880232Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5880326Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5880438Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5880551Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5880647Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5880726Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5880836Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5880932Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5881014Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5881109Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5881191Z              26 RETURN_VALUE
2022-11-23T01:32:31.5881196Z 
2022-11-23T01:32:31.5881263Z  
2022-11-23T01:32:31.5881447Z [2022-11-23 01:29:52,283] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5881524Z  - 
2022-11-23T01:32:31.5881652Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5881727Z             {
2022-11-23T01:32:31.5881877Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5882070Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5882200Z                 'obj_weakref': None
2022-11-23T01:32:31.5882424Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5882493Z             }
2022-11-23T01:32:31.5882563Z             
2022-11-23T01:32:31.5882640Z  - 
2022-11-23T01:32:31.5882771Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5882841Z             {
2022-11-23T01:32:31.5882992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5883099Z                 'code': None,
2022-11-23T01:32:31.5883314Z                 'obj_weakref': <weakref at 0x7f1ff81d8180; to 'Tensor' at 0x7f2068243e70>
2022-11-23T01:32:31.5883570Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5883639Z             }
2022-11-23T01:32:31.5883709Z             
2022-11-23T01:32:31.5883786Z  - 
2022-11-23T01:32:31.5883924Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5883987Z             {
2022-11-23T01:32:31.5884131Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5884310Z                 'code': ['___check_obj_id(model, 139780374682720)'],
2022-11-23T01:32:31.5884434Z                 'obj_weakref': None
2022-11-23T01:32:31.5884664Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5884734Z             }
2022-11-23T01:32:31.5884804Z             
2022-11-23T01:32:31.5884874Z  - 
2022-11-23T01:32:31.5885001Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5885071Z             {
2022-11-23T01:32:31.5885213Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5885433Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5885557Z                 'obj_weakref': None
2022-11-23T01:32:31.5885784Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5885846Z             }
2022-11-23T01:32:31.5885951Z             
2022-11-23T01:32:31.5886046Z  - 
2022-11-23T01:32:31.5886184Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5886253Z             {
2022-11-23T01:32:31.5886382Z                 'guard_types': None,
2022-11-23T01:32:31.5886495Z                 'code': None,
2022-11-23T01:32:31.5886612Z                 'obj_weakref': None
2022-11-23T01:32:31.5886739Z                 'guarded_class': None
2022-11-23T01:32:31.5886811Z             }
2022-11-23T01:32:31.5886881Z             
2022-11-23T01:32:31.5887145Z [2022-11-23 01:29:52,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 553
2022-11-23T01:32:31.5887444Z [2022-11-23 01:29:52,311] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5887816Z [2022-11-23 01:29:52,386] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zd/czdilpnybte4uvggahwp3wdyt2og7p7xfbruszncwgidw2hhg5xr.py
2022-11-23T01:32:31.5888091Z [2022-11-23 01:29:52,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 553
2022-11-23T01:32:31.5888100Z 
2022-11-23T01:32:31.5888194Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5888271Z import torch
2022-11-23T01:32:31.5888347Z import random
2022-11-23T01:32:31.5888473Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5888601Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5888606Z 
2022-11-23T01:32:31.5888691Z aten = torch.ops.aten
2022-11-23T01:32:31.5888834Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5888927Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5888938Z 
2022-11-23T01:32:31.5889007Z import triton
2022-11-23T01:32:31.5889101Z import triton.language as tl
2022-11-23T01:32:31.5889229Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5889376Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5889383Z 
2022-11-23T01:32:31.5889390Z 
2022-11-23T01:32:31.5889610Z triton_fused_mul_gt_where_mul_1_add_1_add_gt_1_where_10 = async_compile.triton('''
2022-11-23T01:32:31.5889686Z import triton
2022-11-23T01:32:31.5889780Z import triton.language as tl
2022-11-23T01:32:31.5889890Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5889995Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5890134Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5890262Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5890267Z 
2022-11-23T01:32:31.5890659Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5890733Z @triton.jit
2022-11-23T01:32:31.5890881Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5890960Z     xnumel = 256
2022-11-23T01:32:31.5891056Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5891189Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5891275Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5891348Z     x0 = xindex
2022-11-23T01:32:31.5891445Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5891518Z     tmp1 = 0
2022-11-23T01:32:31.5891602Z     tmp2 = tmp0 > tmp1
2022-11-23T01:32:31.5891670Z     tmp3 = 0.2
2022-11-23T01:32:31.5891749Z     tmp4 = tmp0 * tmp3
2022-11-23T01:32:31.5891850Z     tmp5 = tl.where(tmp2, tmp0, tmp4)
2022-11-23T01:32:31.5891926Z     tmp6 = 2
2022-11-23T01:32:31.5892025Z     tmp7 = tmp5 + tmp6
2022-11-23T01:32:31.5892100Z     tmp8 = 1
2022-11-23T01:32:31.5892191Z     tmp9 = tmp0 + tmp8
2022-11-23T01:32:31.5892277Z     tmp10 = tmp9 > tmp1
2022-11-23T01:32:31.5892351Z     tmp11 = 0.01
2022-11-23T01:32:31.5892432Z     tmp12 = tmp9 * tmp11
2022-11-23T01:32:31.5892567Z     tmp13 = tl.where(tmp10, tmp9, tmp12)
2022-11-23T01:32:31.5892707Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.5892878Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:31.5892960Z ''')
2022-11-23T01:32:31.5892972Z 
2022-11-23T01:32:31.5892976Z 
2022-11-23T01:32:31.5893065Z async_compile.wait(globals())
2022-11-23T01:32:31.5893144Z del async_compile
2022-11-23T01:32:31.5893149Z 
2022-11-23T01:32:31.5893225Z def call(args):
2022-11-23T01:32:31.5893299Z     arg0_1, = args
2022-11-23T01:32:31.5893375Z     args.clear()
2022-11-23T01:32:31.5893582Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5893791Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5893877Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5894060Z     triton_fused_mul_gt_where_mul_1_add_1_add_gt_1_where_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5894139Z     del arg0_1
2022-11-23T01:32:31.5894224Z     return (buf0, buf1, )
2022-11-23T01:32:31.5894229Z 
2022-11-23T01:32:31.5894234Z 
2022-11-23T01:32:31.5894319Z if __name__ == "__main__":
2022-11-23T01:32:31.5894440Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5894572Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5894780Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5894888Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5894893Z 
2022-11-23T01:32:31.5894905Z 
2022-11-23T01:32:31.5894998Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5895073Z import torch
2022-11-23T01:32:31.5895148Z import random
2022-11-23T01:32:31.5895270Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5895394Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5895399Z 
2022-11-23T01:32:31.5895483Z aten = torch.ops.aten
2022-11-23T01:32:31.5895625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5895718Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5895723Z 
2022-11-23T01:32:31.5895797Z import triton
2022-11-23T01:32:31.5895893Z import triton.language as tl
2022-11-23T01:32:31.5896023Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5896168Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5896174Z 
2022-11-23T01:32:31.5896178Z 
2022-11-23T01:32:31.5896522Z triton_fused_convert_element_type_1_add_convert_element_type_2_gt_1_where_convert_element_type_3_mul_1_where_1_gt_convert_element_type0 = async_compile.triton('''
2022-11-23T01:32:31.5896597Z import triton
2022-11-23T01:32:31.5896691Z import triton.language as tl
2022-11-23T01:32:31.5896802Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5896909Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5897047Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5897177Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5897185Z 
2022-11-23T01:32:31.5897575Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5897648Z @triton.jit
2022-11-23T01:32:31.5897795Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5897872Z     xnumel = 256
2022-11-23T01:32:31.5897965Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5898098Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5898184Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5898258Z     x0 = xindex
2022-11-23T01:32:31.5898380Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5898476Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.5898547Z     tmp2 = 0
2022-11-23T01:32:31.5898652Z     tmp3 = tmp1 > tmp2
2022-11-23T01:32:31.5898745Z     tmp4 = 0.2
2022-11-23T01:32:31.5898933Z     tmp5 = tmp1 * tmp4
2022-11-23T01:32:31.5899036Z     tmp6 = tl.where(tmp3, tmp1, tmp5)
2022-11-23T01:32:31.5899125Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:31.5899195Z     tmp8 = 2
2022-11-23T01:32:31.5899274Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:31.5899341Z     tmp10 = 1
2022-11-23T01:32:31.5899423Z     tmp11 = tmp0 + tmp10
2022-11-23T01:32:31.5899517Z     tmp12 = tmp11.to(tl.float32)
2022-11-23T01:32:31.5899597Z     tmp13 = tmp12 > tmp2
2022-11-23T01:32:31.5899671Z     tmp14 = 0.01
2022-11-23T01:32:31.5899753Z     tmp15 = tmp12 * tmp14
2022-11-23T01:32:31.5899848Z     tmp16 = tl.where(tmp13, tmp12, tmp15)
2022-11-23T01:32:31.5899942Z     tmp17 = tmp16.to(tl.float32)
2022-11-23T01:32:31.5900080Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.5900215Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.5900309Z ''')
2022-11-23T01:32:31.5900314Z 
2022-11-23T01:32:31.5900322Z 
2022-11-23T01:32:31.5900416Z async_compile.wait(globals())
2022-11-23T01:32:31.5900494Z del async_compile
2022-11-23T01:32:31.5900499Z 
2022-11-23T01:32:31.5900574Z def call(args):
2022-11-23T01:32:31.5900643Z     arg0_1, = args
2022-11-23T01:32:31.5900718Z     args.clear()
2022-11-23T01:32:31.5900921Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5901120Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5901212Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5901471Z     triton_fused_convert_element_type_1_add_convert_element_type_2_gt_1_where_convert_element_type_3_mul_1_where_1_gt_convert_element_type0.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5901549Z     del arg0_1
2022-11-23T01:32:31.5901634Z     return (buf0, buf1, )
2022-11-23T01:32:31.5901639Z 
2022-11-23T01:32:31.5901646Z 
2022-11-23T01:32:31.5901725Z if __name__ == "__main__":
2022-11-23T01:32:31.5901850Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5901979Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5902189Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5902303Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5902309Z 
2022-11-23T01:32:31.5902381Z ok (0.257s)
2022-11-23T01:32:31.5902694Z   test_lgamma_cuda (__main__.CudaTests) ... [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5903015Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5903229Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5903487Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5903767Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5904085Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5904429Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5904749Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5905122Z [2022-11-23 01:29:52,393] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125> 
2022-11-23T01:32:31.5905275Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5905405Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T01:32:31.5905504Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5905594Z                6 CALL_METHOD              1
2022-11-23T01:32:31.5905692Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.5905773Z               10 BINARY_ADD
2022-11-23T01:32:31.5905873Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5905972Z               14 LOAD_METHOD              2 (cos)
2022-11-23T01:32:31.5906071Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5906167Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5906239Z               20 BINARY_ADD
2022-11-23T01:32:31.5906336Z               22 CALL_METHOD              1
2022-11-23T01:32:31.5906432Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.5906515Z               26 RETURN_VALUE
2022-11-23T01:32:31.5906584Z  
2022-11-23T01:32:31.5906589Z 
2022-11-23T01:32:31.5906910Z [2022-11-23 01:29:52,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126
2022-11-23T01:32:31.5907133Z [2022-11-23 01:29:52,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5907443Z [2022-11-23 01:29:52,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5907692Z [2022-11-23 01:29:52,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T01:32:31.5907981Z [2022-11-23 01:29:52,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T01:32:31.5908225Z [2022-11-23 01:29:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5908514Z [2022-11-23 01:29:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5908767Z [2022-11-23 01:29:52,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.5909100Z [2022-11-23 01:29:52,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5909378Z [2022-11-23 01:29:52,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:31.5909684Z [2022-11-23 01:29:52,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.5910032Z [2022-11-23 01:29:52,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5910419Z [2022-11-23 01:29:52,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.5910726Z [2022-11-23 01:29:52,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5910979Z [2022-11-23 01:29:52,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5911359Z [2022-11-23 01:29:52,408] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125>
2022-11-23T01:32:31.5911610Z [2022-11-23 01:29:52,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5911848Z [2022-11-23 01:29:52,408] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5912164Z [2022-11-23 01:29:52,409] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5912421Z [2022-11-23 01:29:52,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5912638Z [2022-11-23 01:29:52,413] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5912783Z  __compiled_fn_571 <eval_with_key>.3506 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5912879Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5912989Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T01:32:31.5913173Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T01:32:31.5913355Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5913463Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T01:32:31.5913574Z output, output, output, ((add, cos),), {}
2022-11-23T01:32:31.5913579Z 
2022-11-23T01:32:31.5913912Z [2022-11-23 01:29:52,413] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5914016Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5914115Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5914202Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5914303Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5914396Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5914493Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5914576Z              12 RETURN_VALUE
2022-11-23T01:32:31.5914581Z 
2022-11-23T01:32:31.5914649Z  
2022-11-23T01:32:31.5914972Z [2022-11-23 01:29:52,413] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5915083Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_571)
2022-11-23T01:32:31.5915180Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5915282Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5915364Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5915462Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5915576Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5915689Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5915781Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5915865Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5915974Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5916072Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5916154Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5916249Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5916332Z              26 RETURN_VALUE
2022-11-23T01:32:31.5916338Z 
2022-11-23T01:32:31.5916405Z  
2022-11-23T01:32:31.5916587Z [2022-11-23 01:29:52,414] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5916662Z  - 
2022-11-23T01:32:31.5916791Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5916864Z             {
2022-11-23T01:32:31.5917012Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5917207Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5917337Z                 'obj_weakref': None
2022-11-23T01:32:31.5917556Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5917627Z             }
2022-11-23T01:32:31.5917697Z             
2022-11-23T01:32:31.5917774Z  - 
2022-11-23T01:32:31.5917905Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5917974Z             {
2022-11-23T01:32:31.5918116Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5918230Z                 'code': None,
2022-11-23T01:32:31.5918446Z                 'obj_weakref': <weakref at 0x7f1fe81368e0; to 'Tensor' at 0x7f1feadc39c0>
2022-11-23T01:32:31.5918730Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5918822Z             }
2022-11-23T01:32:31.5918891Z             
2022-11-23T01:32:31.5918968Z  - 
2022-11-23T01:32:31.5919105Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5919169Z             {
2022-11-23T01:32:31.5919312Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5919490Z                 'code': ['___check_obj_id(model, 139780374682720)'],
2022-11-23T01:32:31.5919618Z                 'obj_weakref': None
2022-11-23T01:32:31.5919856Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5919927Z             }
2022-11-23T01:32:31.5919995Z             
2022-11-23T01:32:31.5920064Z  - 
2022-11-23T01:32:31.5920195Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5920265Z             {
2022-11-23T01:32:31.5920408Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5920636Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5920765Z                 'obj_weakref': None
2022-11-23T01:32:31.5920988Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5921051Z             }
2022-11-23T01:32:31.5921121Z             
2022-11-23T01:32:31.5921197Z  - 
2022-11-23T01:32:31.5921332Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5921400Z             {
2022-11-23T01:32:31.5921525Z                 'guard_types': None,
2022-11-23T01:32:31.5921629Z                 'code': None,
2022-11-23T01:32:31.5921752Z                 'obj_weakref': None
2022-11-23T01:32:31.5921878Z                 'guarded_class': None
2022-11-23T01:32:31.5921949Z             }
2022-11-23T01:32:31.5922016Z             
2022-11-23T01:32:31.5922282Z [2022-11-23 01:29:52,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 554
2022-11-23T01:32:31.5922579Z [2022-11-23 01:29:52,426] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5922949Z [2022-11-23 01:29:52,598] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tg/ctgmyqcqtywauuraouvusd3nhpzjm7nhgqyamiywvavqnzq4hqre.py
2022-11-23T01:32:31.5923209Z [2022-11-23 01:29:52,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 554
2022-11-23T01:32:31.5923449Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5923767Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5923988Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5924245Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.5924526Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.5924846Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5925196Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5925520Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5925900Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125> 
2022-11-23T01:32:31.5925997Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5926130Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T01:32:31.5926248Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5926348Z                6 CALL_METHOD              1
2022-11-23T01:32:31.5926447Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.5926528Z               10 BINARY_ADD
2022-11-23T01:32:31.5926630Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.5926733Z               14 LOAD_METHOD              2 (cos)
2022-11-23T01:32:31.5926824Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.5926920Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5927004Z               20 BINARY_ADD
2022-11-23T01:32:31.5927099Z               22 CALL_METHOD              1
2022-11-23T01:32:31.5927196Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.5927279Z               26 RETURN_VALUE
2022-11-23T01:32:31.5927346Z  
2022-11-23T01:32:31.5927352Z 
2022-11-23T01:32:31.5927663Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126
2022-11-23T01:32:31.5927888Z [2022-11-23 01:29:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.5928203Z [2022-11-23 01:29:52,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5928461Z [2022-11-23 01:29:52,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T01:32:31.5928758Z [2022-11-23 01:29:52,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T01:32:31.5929001Z [2022-11-23 01:29:52,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.5929288Z [2022-11-23 01:29:52,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5929536Z [2022-11-23 01:29:52,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.5929873Z [2022-11-23 01:29:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.5930152Z [2022-11-23 01:29:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:31.5930453Z [2022-11-23 01:29:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.5930805Z [2022-11-23 01:29:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.5931121Z [2022-11-23 01:29:52,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:31.5931396Z [2022-11-23 01:29:52,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.5931648Z [2022-11-23 01:29:52,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5932029Z [2022-11-23 01:29:52,617] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125>
2022-11-23T01:32:31.5932286Z [2022-11-23 01:29:52,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5932527Z [2022-11-23 01:29:52,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5932790Z [2022-11-23 01:29:52,618] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5933068Z [2022-11-23 01:29:52,622] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5933276Z [2022-11-23 01:29:52,622] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5933418Z  __compiled_fn_572 <eval_with_key>.3512 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5933513Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5933635Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T01:32:31.5933819Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T01:32:31.5934004Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.5934111Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T01:32:31.5934210Z output, output, output, ((add, cos),), {}
2022-11-23T01:32:31.5934224Z 
2022-11-23T01:32:31.5934549Z [2022-11-23 01:29:52,622] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5934652Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5934752Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5934846Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5934951Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5935044Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5935141Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5935218Z              12 RETURN_VALUE
2022-11-23T01:32:31.5935230Z 
2022-11-23T01:32:31.5935290Z  
2022-11-23T01:32:31.5935621Z [2022-11-23 01:29:52,622] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5935739Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_572)
2022-11-23T01:32:31.5935835Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5935933Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5936016Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5936113Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5936222Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5936335Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5936432Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5936517Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5936626Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5936722Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.5936805Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.5936893Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.5936976Z              26 RETURN_VALUE
2022-11-23T01:32:31.5936982Z 
2022-11-23T01:32:31.5937047Z  
2022-11-23T01:32:31.5937239Z [2022-11-23 01:29:52,623] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5937315Z  - 
2022-11-23T01:32:31.5937442Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5937512Z             {
2022-11-23T01:32:31.5937656Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5937851Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5937978Z                 'obj_weakref': None
2022-11-23T01:32:31.5938205Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5938273Z             }
2022-11-23T01:32:31.5938343Z             
2022-11-23T01:32:31.5938419Z  - 
2022-11-23T01:32:31.5938543Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5938614Z             {
2022-11-23T01:32:31.5938764Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5938990Z                 'code': None,
2022-11-23T01:32:31.5939203Z                 'obj_weakref': <weakref at 0x7f2072811670; to 'Tensor' at 0x7f20607964d0>
2022-11-23T01:32:31.5939451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5939567Z             }
2022-11-23T01:32:31.5939666Z             
2022-11-23T01:32:31.5939744Z  - 
2022-11-23T01:32:31.5939885Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.5939953Z             {
2022-11-23T01:32:31.5940095Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5940271Z                 'code': ['___check_obj_id(model, 139780374682720)'],
2022-11-23T01:32:31.5940394Z                 'obj_weakref': None
2022-11-23T01:32:31.5940621Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.5940690Z             }
2022-11-23T01:32:31.5940757Z             
2022-11-23T01:32:31.5940833Z  - 
2022-11-23T01:32:31.5940960Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5941028Z             {
2022-11-23T01:32:31.5941169Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5941383Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5941508Z                 'obj_weakref': None
2022-11-23T01:32:31.5941735Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5941805Z             }
2022-11-23T01:32:31.5941871Z             
2022-11-23T01:32:31.5941945Z  - 
2022-11-23T01:32:31.5942082Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.5942144Z             {
2022-11-23T01:32:31.5942268Z                 'guard_types': None,
2022-11-23T01:32:31.5942379Z                 'code': None,
2022-11-23T01:32:31.5942502Z                 'obj_weakref': None
2022-11-23T01:32:31.5942630Z                 'guarded_class': None
2022-11-23T01:32:31.5942700Z             }
2022-11-23T01:32:31.5942768Z             
2022-11-23T01:32:31.5943028Z [2022-11-23 01:29:52,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 555
2022-11-23T01:32:31.5943327Z [2022-11-23 01:29:52,635] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5943700Z [2022-11-23 01:29:52,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nw/cnwmwcjpivwiviiassuoe5h6qhgkmbhv3rjikzgt2idsys5vvsg2.py
2022-11-23T01:32:31.5943967Z [2022-11-23 01:29:52,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 555
2022-11-23T01:32:31.5943973Z 
2022-11-23T01:32:31.5944072Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5944148Z import torch
2022-11-23T01:32:31.5950422Z import random
2022-11-23T01:32:31.5950588Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5950727Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5950740Z 
2022-11-23T01:32:31.5950819Z aten = torch.ops.aten
2022-11-23T01:32:31.5950964Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5951066Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5951071Z 
2022-11-23T01:32:31.5951147Z import triton
2022-11-23T01:32:31.5951248Z import triton.language as tl
2022-11-23T01:32:31.5951383Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5951528Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5951533Z 
2022-11-23T01:32:31.5951538Z 
2022-11-23T01:32:31.5951736Z triton_fused_lgamma_add_cos_add_10 = async_compile.triton('''
2022-11-23T01:32:31.5951813Z import triton
2022-11-23T01:32:31.5951907Z import triton.language as tl
2022-11-23T01:32:31.5952025Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5952129Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5952266Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5952393Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5952398Z 
2022-11-23T01:32:31.5952851Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5952943Z @triton.jit
2022-11-23T01:32:31.5953091Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5953167Z     xnumel = 256
2022-11-23T01:32:31.5953267Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5953400Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5953486Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5953558Z     x0 = xindex
2022-11-23T01:32:31.5953650Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.5953754Z     tmp1 = tl.libdevice.lgamma(tmp0)
2022-11-23T01:32:31.5953827Z     tmp2 = 2
2022-11-23T01:32:31.5953908Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.5953981Z     tmp4 = 1
2022-11-23T01:32:31.5954059Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.5954140Z     tmp6 = tl.cos(tmp5)
2022-11-23T01:32:31.5954273Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.5954411Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.5954500Z ''')
2022-11-23T01:32:31.5954506Z 
2022-11-23T01:32:31.5954510Z 
2022-11-23T01:32:31.5954605Z async_compile.wait(globals())
2022-11-23T01:32:31.5954686Z del async_compile
2022-11-23T01:32:31.5954692Z 
2022-11-23T01:32:31.5954768Z def call(args):
2022-11-23T01:32:31.5954843Z     arg0_1, = args
2022-11-23T01:32:31.5954918Z     args.clear()
2022-11-23T01:32:31.5955117Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5955318Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5955408Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5955576Z     triton_fused_lgamma_add_cos_add_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5955649Z     del arg0_1
2022-11-23T01:32:31.5955732Z     return (buf0, buf1, )
2022-11-23T01:32:31.5955738Z 
2022-11-23T01:32:31.5955742Z 
2022-11-23T01:32:31.5955826Z if __name__ == "__main__":
2022-11-23T01:32:31.5955948Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5956070Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5956275Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.5956389Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5956394Z 
2022-11-23T01:32:31.5956399Z 
2022-11-23T01:32:31.5956498Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5956572Z import torch
2022-11-23T01:32:31.5956646Z import random
2022-11-23T01:32:31.5956768Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5956887Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5956899Z 
2022-11-23T01:32:31.5956975Z aten = torch.ops.aten
2022-11-23T01:32:31.5957118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5957216Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5957221Z 
2022-11-23T01:32:31.5957299Z import triton
2022-11-23T01:32:31.5957398Z import triton.language as tl
2022-11-23T01:32:31.5957527Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5957670Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5957675Z 
2022-11-23T01:32:31.5957680Z 
2022-11-23T01:32:31.5957856Z triton_fused_add_cos_lgamma_add_10 = async_compile.triton('''
2022-11-23T01:32:31.5957932Z import triton
2022-11-23T01:32:31.5958025Z import triton.language as tl
2022-11-23T01:32:31.5958142Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5958246Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5958385Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5958511Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5958516Z 
2022-11-23T01:32:31.5958939Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.5959029Z @triton.jit
2022-11-23T01:32:31.5959178Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.5959260Z     xnumel = 256
2022-11-23T01:32:31.5959358Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.5959491Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.5959580Z     xmask = xindex < xnumel
2022-11-23T01:32:31.5959653Z     x0 = xindex
2022-11-23T01:32:31.5959766Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.5959869Z     tmp1 = tl.libdevice.lgamma(tmp0)
2022-11-23T01:32:31.5959941Z     tmp2 = 2
2022-11-23T01:32:31.5960022Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.5960096Z     tmp4 = 1
2022-11-23T01:32:31.5960176Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.5960257Z     tmp6 = tl.cos(tmp5)
2022-11-23T01:32:31.5960389Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.5960527Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.5960620Z ''')
2022-11-23T01:32:31.5960625Z 
2022-11-23T01:32:31.5960629Z 
2022-11-23T01:32:31.5960724Z async_compile.wait(globals())
2022-11-23T01:32:31.5960803Z del async_compile
2022-11-23T01:32:31.5960808Z 
2022-11-23T01:32:31.5960885Z def call(args):
2022-11-23T01:32:31.5960960Z     arg0_1, = args
2022-11-23T01:32:31.5961036Z     args.clear()
2022-11-23T01:32:31.5961233Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5961433Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5961526Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.5961689Z     triton_fused_add_cos_lgamma_add_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.5961763Z     del arg0_1
2022-11-23T01:32:31.5961847Z     return (buf0, buf1, )
2022-11-23T01:32:31.5961855Z 
2022-11-23T01:32:31.5961860Z 
2022-11-23T01:32:31.5961943Z if __name__ == "__main__":
2022-11-23T01:32:31.5962064Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.5962186Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.5962391Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.5962504Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.5962509Z 
2022-11-23T01:32:31.5962582Z ok (0.420s)
2022-11-23T01:32:31.5962892Z   test_linear1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:52,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5963211Z [2022-11-23 01:29:52,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5963434Z [2022-11-23 01:29:52,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5963686Z [2022-11-23 01:29:52,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.5963950Z [2022-11-23 01:29:52,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.5964264Z [2022-11-23 01:29:52,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5964597Z [2022-11-23 01:29:52,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5964910Z [2022-11-23 01:29:52,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5965323Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.5965423Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.5965543Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.5965629Z               4 RETURN_VALUE
2022-11-23T01:32:31.5965696Z  
2022-11-23T01:32:31.5965701Z 
2022-11-23T01:32:31.5966017Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.5966227Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5966474Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.5966722Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5967110Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.5967360Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5967599Z [2022-11-23 01:29:52,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5967856Z [2022-11-23 01:29:52,819] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5968111Z [2022-11-23 01:29:52,825] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5968306Z [2022-11-23 01:29:52,825] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5968444Z  __compiled_fn_573 <eval_with_key>.3518 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5968540Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5968647Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.5968755Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.5968862Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.5968870Z 
2022-11-23T01:32:31.5969201Z [2022-11-23 01:29:52,826] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5969303Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5969405Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5969492Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5969591Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5969683Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5969779Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5969861Z              12 RETURN_VALUE
2022-11-23T01:32:31.5969866Z 
2022-11-23T01:32:31.5969931Z  
2022-11-23T01:32:31.5970264Z [2022-11-23 01:29:52,826] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5970383Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_573)
2022-11-23T01:32:31.5970476Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5970575Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5970658Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5970752Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5970864Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5970973Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5971074Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5971149Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5971241Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.5971323Z              20 RETURN_VALUE
2022-11-23T01:32:31.5971328Z 
2022-11-23T01:32:31.5971394Z  
2022-11-23T01:32:31.5971582Z [2022-11-23 01:29:52,826] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5971658Z  - 
2022-11-23T01:32:31.5971813Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5971899Z             {
2022-11-23T01:32:31.5972047Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5972241Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5972367Z                 'obj_weakref': None
2022-11-23T01:32:31.5972599Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5972669Z             }
2022-11-23T01:32:31.5972738Z             
2022-11-23T01:32:31.5972808Z  - 
2022-11-23T01:32:31.5972939Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5973017Z             {
2022-11-23T01:32:31.5973188Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5973321Z                 'code': None,
2022-11-23T01:32:31.5973539Z                 'obj_weakref': <weakref at 0x7f207272a3e0; to 'Tensor' at 0x7f1feadc39c0>
2022-11-23T01:32:31.5973792Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5973857Z             }
2022-11-23T01:32:31.5973929Z             
2022-11-23T01:32:31.5974003Z  - 
2022-11-23T01:32:31.5974129Z             local 'model' NN_MODULE
2022-11-23T01:32:31.5974201Z             {
2022-11-23T01:32:31.5974341Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5974517Z                 'code': ['___check_obj_id(model, 139777336041408)'],
2022-11-23T01:32:31.5974731Z                 'obj_weakref': <weakref at 0x7f1ff8148a40; to 'Sequential' at 0x7f2072765fc0>
2022-11-23T01:32:31.5974967Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.5975038Z             }
2022-11-23T01:32:31.5975107Z             
2022-11-23T01:32:31.5975186Z  - 
2022-11-23T01:32:31.5975312Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5975382Z             {
2022-11-23T01:32:31.5975521Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5975743Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5975870Z                 'obj_weakref': None
2022-11-23T01:32:31.5976094Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5976167Z             }
2022-11-23T01:32:31.5976237Z             
2022-11-23T01:32:31.5976310Z  - 
2022-11-23T01:32:31.5976453Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.5976523Z             {
2022-11-23T01:32:31.5976653Z                 'guard_types': None,
2022-11-23T01:32:31.5976766Z                 'code': None,
2022-11-23T01:32:31.5976890Z                 'obj_weakref': None
2022-11-23T01:32:31.5977016Z                 'guarded_class': None
2022-11-23T01:32:31.5977085Z             }
2022-11-23T01:32:31.5977149Z             
2022-11-23T01:32:31.5977224Z  - 
2022-11-23T01:32:31.5977374Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.5977444Z             {
2022-11-23T01:32:31.5977570Z                 'guard_types': None,
2022-11-23T01:32:31.5977680Z                 'code': None,
2022-11-23T01:32:31.5977795Z                 'obj_weakref': None
2022-11-23T01:32:31.5977920Z                 'guarded_class': None
2022-11-23T01:32:31.5977989Z             }
2022-11-23T01:32:31.5978057Z             
2022-11-23T01:32:31.5978132Z  - 
2022-11-23T01:32:31.5978280Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.5978348Z             {
2022-11-23T01:32:31.5978464Z                 'guard_types': None,
2022-11-23T01:32:31.5978573Z                 'code': None,
2022-11-23T01:32:31.5978694Z                 'obj_weakref': None
2022-11-23T01:32:31.5978949Z                 'guarded_class': None
2022-11-23T01:32:31.5979021Z             }
2022-11-23T01:32:31.5979093Z             
2022-11-23T01:32:31.5979408Z [2022-11-23 01:29:52,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 556
2022-11-23T01:32:31.5979654Z [2022-11-23 01:29:52,863] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5980048Z [2022-11-23 01:29:53,014] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l3/cl3nitiba3pw2q3dxcixsh2zwtusvyrzlmhqx63jh4exxq6pie7d.py
2022-11-23T01:32:31.5980316Z [2022-11-23 01:29:53,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 556
2022-11-23T01:32:31.5980556Z [2022-11-23 01:29:53,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.5980869Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.5981094Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.5981342Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.5981611Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.5981926Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5982262Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5982566Z [2022-11-23 01:29:53,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.5982948Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:31.5983048Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:31.5983146Z               2 BUILD_TUPLE              1
2022-11-23T01:32:31.5983233Z               4 RETURN_VALUE
2022-11-23T01:32:31.5983300Z  
2022-11-23T01:32:31.5983306Z 
2022-11-23T01:32:31.5983621Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:32:31.5983838Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.5984083Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:31.5984327Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5984714Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f968c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:31.5984968Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.5985213Z [2022-11-23 01:29:53,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.5985474Z [2022-11-23 01:29:53,028] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.5985729Z [2022-11-23 01:29:53,036] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.5985925Z [2022-11-23 01:29:53,036] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.5986069Z  __compiled_fn_574 <eval_with_key>.3529 opcode, name, target, args, kwargs
2022-11-23T01:32:31.5986165Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.5986265Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.5986375Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.5986482Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:31.5986515Z 
2022-11-23T01:32:31.5986847Z [2022-11-23 01:29:53,036] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5986974Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.5987072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5987167Z               4 BUILD_MAP                0
2022-11-23T01:32:31.5987270Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.5987356Z               8 DICT_MERGE               1
2022-11-23T01:32:31.5987452Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.5987533Z              12 RETURN_VALUE
2022-11-23T01:32:31.5987539Z 
2022-11-23T01:32:31.5987604Z  
2022-11-23T01:32:31.5987927Z [2022-11-23 01:29:53,036] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.5988055Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_574)
2022-11-23T01:32:31.5988156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.5988249Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5988336Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.5988432Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.5988549Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.5988660Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.5988756Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.5988839Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.5988932Z              18 BUILD_TUPLE              1
2022-11-23T01:32:31.5989006Z              20 RETURN_VALUE
2022-11-23T01:32:31.5989011Z 
2022-11-23T01:32:31.5989077Z  
2022-11-23T01:32:31.5989265Z [2022-11-23 01:29:53,037] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.5989341Z  - 
2022-11-23T01:32:31.5989467Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.5989539Z             {
2022-11-23T01:32:31.5989686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.5989874Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.5989999Z                 'obj_weakref': None
2022-11-23T01:32:31.5990227Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.5990370Z             }
2022-11-23T01:32:31.5990452Z             
2022-11-23T01:32:31.5990543Z  - 
2022-11-23T01:32:31.5990691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.5990754Z             {
2022-11-23T01:32:31.5990904Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.5991017Z                 'code': None,
2022-11-23T01:32:31.5991231Z                 'obj_weakref': <weakref at 0x7f201e6eb6f0; to 'Tensor' at 0x7f201e320c70>
2022-11-23T01:32:31.5991484Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.5991556Z             }
2022-11-23T01:32:31.5991628Z             
2022-11-23T01:32:31.5991698Z  - 
2022-11-23T01:32:31.5991828Z             local 'model' NN_MODULE
2022-11-23T01:32:31.5991896Z             {
2022-11-23T01:32:31.5992040Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.5992215Z                 'code': ['___check_obj_id(model, 139777336041408)'],
2022-11-23T01:32:31.5992435Z                 'obj_weakref': <weakref at 0x7f1ff8148a40; to 'Sequential' at 0x7f2072765fc0>
2022-11-23T01:32:31.5992677Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.5992740Z             }
2022-11-23T01:32:31.5992806Z             
2022-11-23T01:32:31.5992883Z  - 
2022-11-23T01:32:31.5993012Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.5993081Z             {
2022-11-23T01:32:31.5993221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.5993474Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.5993622Z                 'obj_weakref': None
2022-11-23T01:32:31.5993844Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.5993916Z             }
2022-11-23T01:32:31.5993990Z             
2022-11-23T01:32:31.5994064Z  - 
2022-11-23T01:32:31.5994213Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.5994282Z             {
2022-11-23T01:32:31.5994399Z                 'guard_types': None,
2022-11-23T01:32:31.5994511Z                 'code': None,
2022-11-23T01:32:31.5994633Z                 'obj_weakref': None
2022-11-23T01:32:31.5994760Z                 'guarded_class': None
2022-11-23T01:32:31.5994831Z             }
2022-11-23T01:32:31.5994902Z             
2022-11-23T01:32:31.5994970Z  - 
2022-11-23T01:32:31.5995119Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.5995187Z             {
2022-11-23T01:32:31.5995313Z                 'guard_types': None,
2022-11-23T01:32:31.5995428Z                 'code': None,
2022-11-23T01:32:31.5995551Z                 'obj_weakref': None
2022-11-23T01:32:31.5995677Z                 'guarded_class': None
2022-11-23T01:32:31.5995739Z             }
2022-11-23T01:32:31.5995805Z             
2022-11-23T01:32:31.5995880Z  - 
2022-11-23T01:32:31.5996030Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.5996098Z             {
2022-11-23T01:32:31.5996222Z                 'guard_types': None,
2022-11-23T01:32:31.5996332Z                 'code': None,
2022-11-23T01:32:31.5996446Z                 'obj_weakref': None
2022-11-23T01:32:31.5996571Z                 'guarded_class': None
2022-11-23T01:32:31.5996640Z             }
2022-11-23T01:32:31.5996707Z             
2022-11-23T01:32:31.5996970Z [2022-11-23 01:29:53,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 557
2022-11-23T01:32:31.5997221Z [2022-11-23 01:29:53,080] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.5997594Z [2022-11-23 01:29:53,143] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7s/c7suvgtmkjw7ytopcs3a3vilsl2kdfq25bhlsdhbujitota2rbw6.py
2022-11-23T01:32:31.5997861Z [2022-11-23 01:29:53,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 557
2022-11-23T01:32:31.5997867Z 
2022-11-23T01:32:31.5997961Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.5998036Z import torch
2022-11-23T01:32:31.5998111Z import random
2022-11-23T01:32:31.5998234Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.5998361Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.5998367Z 
2022-11-23T01:32:31.5998449Z aten = torch.ops.aten
2022-11-23T01:32:31.5998593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.5998684Z async_compile = AsyncCompile()
2022-11-23T01:32:31.5998697Z 
2022-11-23T01:32:31.5998768Z import triton
2022-11-23T01:32:31.5998862Z import triton.language as tl
2022-11-23T01:32:31.5998995Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.5999138Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.5999144Z 
2022-11-23T01:32:31.5999149Z 
2022-11-23T01:32:31.5999338Z triton_fused_addmm_sigmoid_permute0 = async_compile.triton('''
2022-11-23T01:32:31.5999413Z import triton
2022-11-23T01:32:31.5999507Z import triton.language as tl
2022-11-23T01:32:31.5999618Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.5999722Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.5999862Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.5999991Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.5999996Z 
2022-11-23T01:32:31.6000383Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6000478Z @triton.jit
2022-11-23T01:32:31.6000606Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6000681Z     xnumel = 32
2022-11-23T01:32:31.6000774Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6000908Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6000992Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6001064Z     x0 = xindex
2022-11-23T01:32:31.6001169Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6001256Z     tmp1 = tl.sigmoid(tmp0)
2022-11-23T01:32:31.6001396Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6001477Z ''')
2022-11-23T01:32:31.6001482Z 
2022-11-23T01:32:31.6001494Z 
2022-11-23T01:32:31.6001582Z async_compile.wait(globals())
2022-11-23T01:32:31.6001658Z del async_compile
2022-11-23T01:32:31.6001664Z 
2022-11-23T01:32:31.6001740Z def call(args):
2022-11-23T01:32:31.6001851Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.6001932Z     args.clear()
2022-11-23T01:32:31.6002135Z     buf0 = empty_strided((2, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6002307Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:31.6002378Z     del primals_1
2022-11-23T01:32:31.6002455Z     del primals_2
2022-11-23T01:32:31.6002546Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.6002638Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6002797Z     triton_fused_addmm_sigmoid_permute0.run(buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.6002893Z     return (buf1, primals_3, buf1, )
2022-11-23T01:32:31.6002898Z 
2022-11-23T01:32:31.6002903Z 
2022-11-23T01:32:31.6002986Z if __name__ == "__main__":
2022-11-23T01:32:31.6003099Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6003229Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6003440Z     primals_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6003645Z     primals_2 = rand_strided((16, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6003849Z     primals_3 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6003996Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.6004002Z 
2022-11-23T01:32:31.6004007Z 
2022-11-23T01:32:31.6004108Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6004187Z import torch
2022-11-23T01:32:31.6004256Z import random
2022-11-23T01:32:31.6004375Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6004502Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6004507Z 
2022-11-23T01:32:31.6004591Z aten = torch.ops.aten
2022-11-23T01:32:31.6004732Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6004828Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6004836Z 
2022-11-23T01:32:31.6004914Z import triton
2022-11-23T01:32:31.6005009Z import triton.language as tl
2022-11-23T01:32:31.6005130Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6005274Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6005280Z 
2022-11-23T01:32:31.6005284Z 
2022-11-23T01:32:31.6005472Z triton_fused_permute_sigmoid_addmm0 = async_compile.triton('''
2022-11-23T01:32:31.6005548Z import triton
2022-11-23T01:32:31.6005645Z import triton.language as tl
2022-11-23T01:32:31.6005762Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6005867Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6006007Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6006128Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6006134Z 
2022-11-23T01:32:31.6006525Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6006620Z @triton.jit
2022-11-23T01:32:31.6006748Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6006823Z     xnumel = 32
2022-11-23T01:32:31.6006922Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6007054Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6007137Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6007202Z     x0 = xindex
2022-11-23T01:32:31.6007330Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6007417Z     tmp1 = tl.sigmoid(tmp0)
2022-11-23T01:32:31.6007561Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6007647Z ''')
2022-11-23T01:32:31.6007652Z 
2022-11-23T01:32:31.6007657Z 
2022-11-23T01:32:31.6007752Z async_compile.wait(globals())
2022-11-23T01:32:31.6007830Z del async_compile
2022-11-23T01:32:31.6007835Z 
2022-11-23T01:32:31.6007906Z def call(args):
2022-11-23T01:32:31.6008017Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.6008093Z     args.clear()
2022-11-23T01:32:31.6008294Z     buf0 = empty_strided((2, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6008467Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:31.6008545Z     del primals_1
2022-11-23T01:32:31.6008625Z     del primals_2
2022-11-23T01:32:31.6008709Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.6008802Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6008961Z     triton_fused_permute_sigmoid_addmm0.run(buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.6009058Z     return (buf1, primals_3, buf1, )
2022-11-23T01:32:31.6009064Z 
2022-11-23T01:32:31.6009068Z 
2022-11-23T01:32:31.6009150Z if __name__ == "__main__":
2022-11-23T01:32:31.6009272Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6009403Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6009612Z     primals_1 = rand_strided((16, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6009806Z     primals_2 = rand_strided((16, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6010010Z     primals_3 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6010157Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.6010163Z 
2022-11-23T01:32:31.6010234Z ok (0.336s)
2022-11-23T01:32:31.6010549Z   test_linear2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6010866Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6011090Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6011337Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.6011614Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.6011919Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6012251Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6012561Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6012809Z [2022-11-23 01:29:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6013078Z [2022-11-23 01:29:53,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6013364Z [2022-11-23 01:29:53,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6013618Z [2022-11-23 01:29:53,189] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6013811Z [2022-11-23 01:29:53,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6013954Z  __compiled_fn_575 <eval_with_key>.3540 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6014050Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6014150Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.6014260Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.6014367Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T01:32:31.6014470Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T01:32:31.6014575Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T01:32:31.6014678Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T01:32:31.6014784Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T01:32:31.6014880Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T01:32:31.6014987Z output, output, output, ((model_7,),), {}
2022-11-23T01:32:31.6014992Z 
2022-11-23T01:32:31.6015320Z [2022-11-23 01:29:53,190] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6015423Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6015521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6015615Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6015716Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6015808Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6015897Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6015985Z              12 RETURN_VALUE
2022-11-23T01:32:31.6015990Z 
2022-11-23T01:32:31.6016059Z  
2022-11-23T01:32:31.6016376Z [2022-11-23 01:29:53,190] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6016495Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_575)
2022-11-23T01:32:31.6016593Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6016690Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6016766Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6016860Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6016956Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6017037Z              12 RETURN_VALUE
2022-11-23T01:32:31.6017042Z 
2022-11-23T01:32:31.6017108Z  
2022-11-23T01:32:31.6017298Z [2022-11-23 01:29:53,191] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6017374Z  - 
2022-11-23T01:32:31.6017491Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6017564Z             {
2022-11-23T01:32:31.6017713Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6017905Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6018030Z                 'obj_weakref': None
2022-11-23T01:32:31.6018257Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6018328Z             }
2022-11-23T01:32:31.6018396Z             
2022-11-23T01:32:31.6018465Z  - 
2022-11-23T01:32:31.6018594Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6018663Z             {
2022-11-23T01:32:31.6018920Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6019037Z                 'code': None,
2022-11-23T01:32:31.6019248Z                 'obj_weakref': <weakref at 0x7f206078a520; to 'Tensor' at 0x7f207272b290>
2022-11-23T01:32:31.6019545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6019609Z             }
2022-11-23T01:32:31.6019739Z             
2022-11-23T01:32:31.6019817Z  - 
2022-11-23T01:32:31.6019943Z             local 'model' NN_MODULE
2022-11-23T01:32:31.6020011Z             {
2022-11-23T01:32:31.6020153Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6020323Z                 'code': ['___check_obj_id(model, 139780074512032)'],
2022-11-23T01:32:31.6020546Z                 'obj_weakref': <weakref at 0x7f1fd9a022a0; to 'Sequential' at 0x7f2115b01ea0>
2022-11-23T01:32:31.6020784Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.6020852Z             }
2022-11-23T01:32:31.6020920Z             
2022-11-23T01:32:31.6020995Z  - 
2022-11-23T01:32:31.6021122Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6021184Z             {
2022-11-23T01:32:31.6021326Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6021549Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6021674Z                 'obj_weakref': None
2022-11-23T01:32:31.6021896Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6021964Z             }
2022-11-23T01:32:31.6022032Z             
2022-11-23T01:32:31.6022109Z  - 
2022-11-23T01:32:31.6022251Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.6022320Z             {
2022-11-23T01:32:31.6022444Z                 'guard_types': None,
2022-11-23T01:32:31.6022556Z                 'code': None,
2022-11-23T01:32:31.6022678Z                 'obj_weakref': None
2022-11-23T01:32:31.6022805Z                 'guarded_class': None
2022-11-23T01:32:31.6022866Z             }
2022-11-23T01:32:31.6022935Z             
2022-11-23T01:32:31.6023011Z  - 
2022-11-23T01:32:31.6023158Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.6023228Z             {
2022-11-23T01:32:31.6023353Z                 'guard_types': None,
2022-11-23T01:32:31.6023465Z                 'code': None,
2022-11-23T01:32:31.6023580Z                 'obj_weakref': None
2022-11-23T01:32:31.6023705Z                 'guarded_class': None
2022-11-23T01:32:31.6023775Z             }
2022-11-23T01:32:31.6023844Z             
2022-11-23T01:32:31.6023919Z  - 
2022-11-23T01:32:31.6024068Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.6024137Z             {
2022-11-23T01:32:31.6024254Z                 'guard_types': None,
2022-11-23T01:32:31.6024363Z                 'code': None,
2022-11-23T01:32:31.6024484Z                 'obj_weakref': None
2022-11-23T01:32:31.6024609Z                 'guarded_class': None
2022-11-23T01:32:31.6024677Z             }
2022-11-23T01:32:31.6024747Z             
2022-11-23T01:32:31.6024815Z  - 
2022-11-23T01:32:31.6024961Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T01:32:31.6025030Z             {
2022-11-23T01:32:31.6025157Z                 'guard_types': None,
2022-11-23T01:32:31.6025268Z                 'code': None,
2022-11-23T01:32:31.6025394Z                 'obj_weakref': None
2022-11-23T01:32:31.6025519Z                 'guarded_class': None
2022-11-23T01:32:31.6025581Z             }
2022-11-23T01:32:31.6025650Z             
2022-11-23T01:32:31.6025725Z  - 
2022-11-23T01:32:31.6025871Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T01:32:31.6025939Z             {
2022-11-23T01:32:31.6026063Z                 'guard_types': None,
2022-11-23T01:32:31.6026173Z                 'code': None,
2022-11-23T01:32:31.6026286Z                 'obj_weakref': None
2022-11-23T01:32:31.6026412Z                 'guarded_class': None
2022-11-23T01:32:31.6026481Z             }
2022-11-23T01:32:31.6026550Z             
2022-11-23T01:32:31.6026626Z  - 
2022-11-23T01:32:31.6026771Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T01:32:31.6026833Z             {
2022-11-23T01:32:31.6026956Z                 'guard_types': None,
2022-11-23T01:32:31.6027095Z                 'code': None,
2022-11-23T01:32:31.6027235Z                 'obj_weakref': None
2022-11-23T01:32:31.6027363Z                 'guarded_class': None
2022-11-23T01:32:31.6027432Z             }
2022-11-23T01:32:31.6027501Z             
2022-11-23T01:32:31.6027570Z  - 
2022-11-23T01:32:31.6027718Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T01:32:31.6027788Z             {
2022-11-23T01:32:31.6027911Z                 'guard_types': None,
2022-11-23T01:32:31.6028022Z                 'code': None,
2022-11-23T01:32:31.6028145Z                 'obj_weakref': None
2022-11-23T01:32:31.6028267Z                 'guarded_class': None
2022-11-23T01:32:31.6028330Z             }
2022-11-23T01:32:31.6028399Z             
2022-11-23T01:32:31.6028474Z  - 
2022-11-23T01:32:31.6028621Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T01:32:31.6028690Z             {
2022-11-23T01:32:31.6028814Z                 'guard_types': None,
2022-11-23T01:32:31.6028927Z                 'code': None,
2022-11-23T01:32:31.6029041Z                 'obj_weakref': None
2022-11-23T01:32:31.6029169Z                 'guarded_class': None
2022-11-23T01:32:31.6029243Z             }
2022-11-23T01:32:31.6029311Z             
2022-11-23T01:32:31.6029574Z [2022-11-23 01:29:53,300] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 558
2022-11-23T01:32:31.6029825Z [2022-11-23 01:29:53,313] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6030070Z [2022-11-23 01:29:53,315] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:31.6030389Z [2022-11-23 01:29:53,316] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:31.6030726Z [2022-11-23 01:29:53,317] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:31.6031099Z [2022-11-23 01:29:53,475] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ua/cuahtoy6doiaiizmxxsxkg7zaukx4q5fhjtxv2wfd4envadnap7f.py
2022-11-23T01:32:31.6031369Z [2022-11-23 01:29:53,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 558
2022-11-23T01:32:31.6031607Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6031918Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6032140Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6032387Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:31.6032655Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:31.6032967Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6033302Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6033616Z [2022-11-23 01:29:53,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6033869Z [2022-11-23 01:29:53,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6034110Z [2022-11-23 01:29:53,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6034368Z [2022-11-23 01:29:53,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6034653Z [2022-11-23 01:29:53,538] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6034849Z [2022-11-23 01:29:53,538] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6035014Z  __compiled_fn_576 <eval_with_key>.3551 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6035110Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6035211Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:31.6035320Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:31.6035427Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T01:32:31.6035531Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T01:32:31.6035634Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T01:32:31.6035741Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T01:32:31.6035846Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T01:32:31.6035942Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T01:32:31.6036047Z output, output, output, ((model_7,),), {}
2022-11-23T01:32:31.6036052Z 
2022-11-23T01:32:31.6036391Z [2022-11-23 01:29:53,539] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6036497Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6036596Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6036692Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6036793Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6036886Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6036975Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6037056Z              12 RETURN_VALUE
2022-11-23T01:32:31.6037062Z 
2022-11-23T01:32:31.6037129Z  
2022-11-23T01:32:31.6037451Z [2022-11-23 01:29:53,539] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6037571Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_576)
2022-11-23T01:32:31.6037673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6037775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6037859Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6037947Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6038043Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6038125Z              12 RETURN_VALUE
2022-11-23T01:32:31.6038130Z 
2022-11-23T01:32:31.6038196Z  
2022-11-23T01:32:31.6038384Z [2022-11-23 01:29:53,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6038462Z  - 
2022-11-23T01:32:31.6038587Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6038650Z             {
2022-11-23T01:32:31.6038797Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6038992Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6039118Z                 'obj_weakref': None
2022-11-23T01:32:31.6039349Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6039421Z             }
2022-11-23T01:32:31.6039491Z             
2022-11-23T01:32:31.6039560Z  - 
2022-11-23T01:32:31.6039691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6039760Z             {
2022-11-23T01:32:31.6039908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6040021Z                 'code': None,
2022-11-23T01:32:31.6040240Z                 'obj_weakref': <weakref at 0x7f1ff8150f40; to 'Tensor' at 0x7f1fd9b15ad0>
2022-11-23T01:32:31.6040495Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6040557Z             }
2022-11-23T01:32:31.6040626Z             
2022-11-23T01:32:31.6040701Z  - 
2022-11-23T01:32:31.6040828Z             local 'model' NN_MODULE
2022-11-23T01:32:31.6040896Z             {
2022-11-23T01:32:31.6041039Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6041243Z                 'code': ['___check_obj_id(model, 139780074512032)'],
2022-11-23T01:32:31.6041489Z                 'obj_weakref': <weakref at 0x7f1fd9a022a0; to 'Sequential' at 0x7f2115b01ea0>
2022-11-23T01:32:31.6041732Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.6041802Z             }
2022-11-23T01:32:31.6041873Z             
2022-11-23T01:32:31.6041948Z  - 
2022-11-23T01:32:31.6042076Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6042146Z             {
2022-11-23T01:32:31.6042281Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6042506Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6042630Z                 'obj_weakref': None
2022-11-23T01:32:31.6042858Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6042929Z             }
2022-11-23T01:32:31.6042998Z             
2022-11-23T01:32:31.6043076Z  - 
2022-11-23T01:32:31.6043221Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:31.6043296Z             {
2022-11-23T01:32:31.6043423Z                 'guard_types': None,
2022-11-23T01:32:31.6043536Z                 'code': None,
2022-11-23T01:32:31.6043661Z                 'obj_weakref': None
2022-11-23T01:32:31.6043788Z                 'guarded_class': None
2022-11-23T01:32:31.6043858Z             }
2022-11-23T01:32:31.6043919Z             
2022-11-23T01:32:31.6043998Z  - 
2022-11-23T01:32:31.6044147Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:31.6044215Z             {
2022-11-23T01:32:31.6044340Z                 'guard_types': None,
2022-11-23T01:32:31.6044453Z                 'code': None,
2022-11-23T01:32:31.6044568Z                 'obj_weakref': None
2022-11-23T01:32:31.6044695Z                 'guarded_class': None
2022-11-23T01:32:31.6044764Z             }
2022-11-23T01:32:31.6044838Z             
2022-11-23T01:32:31.6044913Z  - 
2022-11-23T01:32:31.6045064Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:31.6045138Z             {
2022-11-23T01:32:31.6045253Z                 'guard_types': None,
2022-11-23T01:32:31.6045364Z                 'code': None,
2022-11-23T01:32:31.6045485Z                 'obj_weakref': None
2022-11-23T01:32:31.6045610Z                 'guarded_class': None
2022-11-23T01:32:31.6045677Z             }
2022-11-23T01:32:31.6045744Z             
2022-11-23T01:32:31.6045822Z  - 
2022-11-23T01:32:31.6045963Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T01:32:31.6046032Z             {
2022-11-23T01:32:31.6046156Z                 'guard_types': None,
2022-11-23T01:32:31.6046267Z                 'code': None,
2022-11-23T01:32:31.6046389Z                 'obj_weakref': None
2022-11-23T01:32:31.6046516Z                 'guarded_class': None
2022-11-23T01:32:31.6046578Z             }
2022-11-23T01:32:31.6046647Z             
2022-11-23T01:32:31.6046722Z  - 
2022-11-23T01:32:31.6046878Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T01:32:31.6046947Z             {
2022-11-23T01:32:31.6047074Z                 'guard_types': None,
2022-11-23T01:32:31.6047186Z                 'code': None,
2022-11-23T01:32:31.6047300Z                 'obj_weakref': None
2022-11-23T01:32:31.6047424Z                 'guarded_class': None
2022-11-23T01:32:31.6047495Z             }
2022-11-23T01:32:31.6047565Z             
2022-11-23T01:32:31.6047640Z  - 
2022-11-23T01:32:31.6047787Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T01:32:31.6047857Z             {
2022-11-23T01:32:31.6047973Z                 'guard_types': None,
2022-11-23T01:32:31.6048084Z                 'code': None,
2022-11-23T01:32:31.6048205Z                 'obj_weakref': None
2022-11-23T01:32:31.6048329Z                 'guarded_class': None
2022-11-23T01:32:31.6048398Z             }
2022-11-23T01:32:31.6048468Z             
2022-11-23T01:32:31.6048536Z  - 
2022-11-23T01:32:31.6048682Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T01:32:31.6048782Z             {
2022-11-23T01:32:31.6048923Z                 'guard_types': None,
2022-11-23T01:32:31.6049033Z                 'code': None,
2022-11-23T01:32:31.6049155Z                 'obj_weakref': None
2022-11-23T01:32:31.6049281Z                 'guarded_class': None
2022-11-23T01:32:31.6049343Z             }
2022-11-23T01:32:31.6049411Z             
2022-11-23T01:32:31.6049488Z  - 
2022-11-23T01:32:31.6049634Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T01:32:31.6049706Z             {
2022-11-23T01:32:31.6049829Z                 'guard_types': None,
2022-11-23T01:32:31.6049940Z                 'code': None,
2022-11-23T01:32:31.6050053Z                 'obj_weakref': None
2022-11-23T01:32:31.6050178Z                 'guarded_class': None
2022-11-23T01:32:31.6050244Z             }
2022-11-23T01:32:31.6050311Z             
2022-11-23T01:32:31.6050572Z [2022-11-23 01:29:53,675] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 559
2022-11-23T01:32:31.6050828Z [2022-11-23 01:29:53,688] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6051076Z [2022-11-23 01:29:53,690] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:31.6051314Z [2022-11-23 01:29:53,691] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:31.6051607Z [2022-11-23 01:29:53,692] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf7'), SchedulerNode(name='buf8')]
2022-11-23T01:32:31.6051613Z 
2022-11-23T01:32:31.6051714Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6051788Z import torch
2022-11-23T01:32:31.6051865Z import random
2022-11-23T01:32:31.6051988Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6052118Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6052124Z 
2022-11-23T01:32:31.6052209Z aten = torch.ops.aten
2022-11-23T01:32:31.6052348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6052451Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6052457Z 
2022-11-23T01:32:31.6052533Z import triton
2022-11-23T01:32:31.6052627Z import triton.language as tl
2022-11-23T01:32:31.6052756Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6052901Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6052907Z 
2022-11-23T01:32:31.6052911Z 
2022-11-23T01:32:31.6053094Z triton_fused_addmm_permute_relu0 = async_compile.triton('''
2022-11-23T01:32:31.6053171Z import triton
2022-11-23T01:32:31.6053258Z import triton.language as tl
2022-11-23T01:32:31.6053374Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6053480Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6053617Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6053745Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6053750Z 
2022-11-23T01:32:31.6054113Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6054188Z @triton.jit
2022-11-23T01:32:31.6054318Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6054386Z     xnumel = 16
2022-11-23T01:32:31.6054484Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6054619Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6054706Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6054779Z     x0 = xindex
2022-11-23T01:32:31.6054886Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6054978Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.6055114Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6055202Z ''')
2022-11-23T01:32:31.6055207Z 
2022-11-23T01:32:31.6055212Z 
2022-11-23T01:32:31.6055518Z triton_fused_permute_3_addmm_2_permute_2_permute_1_relu_1_permute_relu_3_addmm_3_relu_2_addmm1 = async_compile.triton('''
2022-11-23T01:32:31.6055613Z import triton
2022-11-23T01:32:31.6055708Z import triton.language as tl
2022-11-23T01:32:31.6055825Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6055932Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6056069Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6056190Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6056195Z 
2022-11-23T01:32:31.6056564Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6056638Z @triton.jit
2022-11-23T01:32:31.6056777Z def kernel(in_out_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6056852Z     xnumel = 16
2022-11-23T01:32:31.6056956Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6057089Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6057177Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6057242Z     x0 = xindex
2022-11-23T01:32:31.6057347Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6057437Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.6057508Z     tmp2 = 0
2022-11-23T01:32:31.6057589Z     tmp3 = tmp1 <= tmp2
2022-11-23T01:32:31.6057732Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6057869Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6057948Z ''')
2022-11-23T01:32:31.6057954Z 
2022-11-23T01:32:31.6057958Z 
2022-11-23T01:32:31.6058052Z async_compile.wait(globals())
2022-11-23T01:32:31.6058129Z del async_compile
2022-11-23T01:32:31.6058134Z 
2022-11-23T01:32:31.6058210Z def call(args):
2022-11-23T01:32:31.6058393Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T01:32:31.6058472Z     args.clear()
2022-11-23T01:32:31.6058670Z     buf0 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6058952Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:31.6059026Z     del primals_1
2022-11-23T01:32:31.6059104Z     del primals_2
2022-11-23T01:32:31.6059200Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.6059291Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6059443Z     triton_fused_addmm_permute_relu0.run(buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6059639Z     buf2 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6059802Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T01:32:31.6059872Z     del primals_4
2022-11-23T01:32:31.6059963Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:31.6060113Z     triton_fused_addmm_permute_relu0.run(buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6060308Z     buf4 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6060464Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T01:32:31.6060545Z     del primals_6
2022-11-23T01:32:31.6060640Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:31.6060774Z     triton_fused_addmm_permute_relu0.run(buf5, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6060970Z     buf6 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6061130Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T01:32:31.6061207Z     del primals_8
2022-11-23T01:32:31.6061297Z     buf7 = buf6; del buf6  # reuse
2022-11-23T01:32:31.6061486Z     buf8 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6061782Z     triton_fused_permute_3_addmm_2_permute_2_permute_1_relu_1_permute_relu_3_addmm_3_relu_2_addmm1.run(buf7, buf8, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6062034Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T01:32:31.6062041Z 
2022-11-23T01:32:31.6062046Z 
2022-11-23T01:32:31.6062130Z if __name__ == "__main__":
2022-11-23T01:32:31.6062243Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6062373Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6062582Z     primals_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6062784Z     primals_2 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6062987Z     primals_3 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6063196Z     primals_4 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6063399Z     primals_5 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6063596Z     primals_6 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6063787Z     primals_7 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6063983Z     primals_8 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6064180Z     primals_9 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6064393Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T01:32:31.6064399Z 
2022-11-23T01:32:31.6064767Z [2022-11-23 01:29:53,764] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jb/cjbspwqzmjaa6eqedm5nfsfa2k3y4l2ftzl4cmxr6tpfg3fzq4yy.py
2022-11-23T01:32:31.6065039Z [2022-11-23 01:29:53,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 559
2022-11-23T01:32:31.6065048Z 
2022-11-23T01:32:31.6065148Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6065224Z import torch
2022-11-23T01:32:31.6065300Z import random
2022-11-23T01:32:31.6065414Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6065545Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6065550Z 
2022-11-23T01:32:31.6065638Z aten = torch.ops.aten
2022-11-23T01:32:31.6065779Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6065876Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6065881Z 
2022-11-23T01:32:31.6065960Z import triton
2022-11-23T01:32:31.6066053Z import triton.language as tl
2022-11-23T01:32:31.6066174Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6066316Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6066321Z 
2022-11-23T01:32:31.6066328Z 
2022-11-23T01:32:31.6066513Z triton_fused_permute_relu_addmm0 = async_compile.triton('''
2022-11-23T01:32:31.6066590Z import triton
2022-11-23T01:32:31.6066684Z import triton.language as tl
2022-11-23T01:32:31.6066800Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6066904Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6067038Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6067160Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6067172Z 
2022-11-23T01:32:31.6067521Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6067595Z @triton.jit
2022-11-23T01:32:31.6067724Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6067799Z     xnumel = 16
2022-11-23T01:32:31.6067896Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6068083Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6068188Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6068253Z     x0 = xindex
2022-11-23T01:32:31.6068378Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6068469Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.6068609Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6068696Z ''')
2022-11-23T01:32:31.6068702Z 
2022-11-23T01:32:31.6068707Z 
2022-11-23T01:32:31.6068986Z triton_fused_permute__to_copy_1_relu_relu_1_addmm_permute_1_addmm_1_permute_2_addmm_2_relu_21 = async_compile.triton('''
2022-11-23T01:32:31.6069061Z import triton
2022-11-23T01:32:31.6069155Z import triton.language as tl
2022-11-23T01:32:31.6069264Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6069373Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6069509Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6069641Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6069649Z 
2022-11-23T01:32:31.6070016Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*i1', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6070088Z @triton.jit
2022-11-23T01:32:31.6070227Z def kernel(in_out_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6070371Z     xnumel = 16
2022-11-23T01:32:31.6070476Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6070619Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6070705Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6070778Z     x0 = xindex
2022-11-23T01:32:31.6070904Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6070995Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.6071083Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.6071150Z     tmp3 = 0
2022-11-23T01:32:31.6071230Z     tmp4 = tmp2 <= tmp3
2022-11-23T01:32:31.6071373Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6071513Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.6071601Z ''')
2022-11-23T01:32:31.6071607Z 
2022-11-23T01:32:31.6071612Z 
2022-11-23T01:32:31.6071707Z async_compile.wait(globals())
2022-11-23T01:32:31.6071784Z del async_compile
2022-11-23T01:32:31.6071789Z 
2022-11-23T01:32:31.6071858Z def call(args):
2022-11-23T01:32:31.6072040Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T01:32:31.6072117Z     args.clear()
2022-11-23T01:32:31.6072309Z     buf0 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6072479Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:31.6072557Z     del primals_1
2022-11-23T01:32:31.6072637Z     del primals_2
2022-11-23T01:32:31.6072729Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.6072813Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6072963Z     triton_fused_permute_relu_addmm0.run(buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6073156Z     buf2 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6073319Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T01:32:31.6073398Z     del primals_4
2022-11-23T01:32:31.6073488Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:31.6073634Z     triton_fused_permute_relu_addmm0.run(buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6073819Z     buf4 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6073976Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T01:32:31.6074052Z     del primals_6
2022-11-23T01:32:31.6074178Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:31.6074344Z     triton_fused_permute_relu_addmm0.run(buf5, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6074533Z     buf6 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6074688Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T01:32:31.6074765Z     del primals_8
2022-11-23T01:32:31.6074847Z     buf7 = buf6; del buf6  # reuse
2022-11-23T01:32:31.6075036Z     buf8 = empty_strided((2, 8), (8, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6075246Z     triton_fused_permute__to_copy_1_relu_relu_1_addmm_permute_1_addmm_1_permute_2_addmm_2_relu_21.run(buf7, buf8, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6075452Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T01:32:31.6075460Z 
2022-11-23T01:32:31.6075465Z 
2022-11-23T01:32:31.6075549Z if __name__ == "__main__":
2022-11-23T01:32:31.6075670Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6075800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6076004Z     primals_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6076201Z     primals_2 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6076397Z     primals_3 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6076595Z     primals_4 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6076796Z     primals_5 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6076995Z     primals_6 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6077195Z     primals_7 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6077393Z     primals_8 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6077595Z     primals_9 = rand_strided((2, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6077808Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T01:32:31.6077814Z 
2022-11-23T01:32:31.6077879Z ok (0.622s)
2022-11-23T01:32:31.6078007Z   test_linear_binary_cuda (__main__.CudaTests) ... ok (0.001s)
2022-11-23T01:32:31.6078140Z   test_linear_permute_fusion (__main__.CudaTests) ... ok (0.004s)
2022-11-23T01:32:31.6078270Z   test_linear_unary_cuda (__main__.CudaTests) ... ok (0.001s)
2022-11-23T01:32:31.6078580Z   test_linspace_cuda (__main__.CudaTests) ... [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6078899Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6079125Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6079382Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6079661Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6079973Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6080313Z [2022-11-23 01:29:53,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6080660Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6081031Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908> 
2022-11-23T01:32:31.6081158Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6081263Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T01:32:31.6081365Z               4 LOAD_CONST               1 (0.125)
2022-11-23T01:32:31.6081462Z               6 LOAD_CONST               2 (0.875)
2022-11-23T01:32:31.6081558Z               8 LOAD_CONST               3 (7)
2022-11-23T01:32:31.6081646Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6081745Z              12 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.6081903Z              14 LOAD_CONST               4 (('device',))
2022-11-23T01:32:31.6082004Z              16 CALL_FUNCTION_KW         4
2022-11-23T01:32:31.6082103Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6082182Z              20 BINARY_ADD
2022-11-23T01:32:31.6082267Z              22 RETURN_VALUE
2022-11-23T01:32:31.6082327Z  
2022-11-23T01:32:31.6082332Z 
2022-11-23T01:32:31.6082644Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909
2022-11-23T01:32:31.6082865Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6083233Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6083560Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6083923Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.6084323Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.6084752Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.6085221Z [2022-11-23 01:29:53,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.6085698Z [2022-11-23 01:29:53,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6086216Z [2022-11-23 01:29:53,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:31.6086458Z [2022-11-23 01:29:53,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.6086732Z [2022-11-23 01:29:53,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6086975Z [2022-11-23 01:29:53,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6087367Z [2022-11-23 01:29:53,780] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908>
2022-11-23T01:32:31.6087647Z [2022-11-23 01:29:53,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6087886Z [2022-11-23 01:29:53,780] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6088145Z [2022-11-23 01:29:53,781] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6088398Z [2022-11-23 01:29:53,784] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6088588Z [2022-11-23 01:29:53,785] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6088731Z  __compiled_fn_577 <eval_with_key>.3564 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6088826Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6089123Z call_function, linspace, <built-in method linspace of type object at 0x7f209c394c60>, (0.125, 0.875, 7), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:31.6089317Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T01:32:31.6089419Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.6089425Z 
2022-11-23T01:32:31.6089756Z [2022-11-23 01:29:53,785] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6089857Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6089959Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6090057Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6090158Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6090243Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6090338Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6090419Z              12 RETURN_VALUE
2022-11-23T01:32:31.6090425Z 
2022-11-23T01:32:31.6090491Z  
2022-11-23T01:32:31.6090811Z [2022-11-23 01:29:53,785] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6090932Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_577)
2022-11-23T01:32:31.6091030Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6091125Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6091201Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6091294Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6091390Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6091470Z              12 RETURN_VALUE
2022-11-23T01:32:31.6091475Z 
2022-11-23T01:32:31.6091540Z  
2022-11-23T01:32:31.6091728Z [2022-11-23 01:29:53,786] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6091803Z  - 
2022-11-23T01:32:31.6091921Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6091990Z             {
2022-11-23T01:32:31.6092139Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6092329Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6092450Z                 'obj_weakref': None
2022-11-23T01:32:31.6092676Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6092745Z             }
2022-11-23T01:32:31.6092808Z             
2022-11-23T01:32:31.6092885Z  - 
2022-11-23T01:32:31.6093014Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.6093084Z             {
2022-11-23T01:32:31.6093227Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.6093401Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.6093616Z                 'obj_weakref': <weakref at 0x7f20682fcfe0; to 'Tensor' at 0x7f1fd9a02070>
2022-11-23T01:32:31.6093867Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6093960Z             }
2022-11-23T01:32:31.6094049Z             
2022-11-23T01:32:31.6094123Z  - 
2022-11-23T01:32:31.6094253Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6094321Z             {
2022-11-23T01:32:31.6094471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6094576Z                 'code': None,
2022-11-23T01:32:31.6094787Z                 'obj_weakref': <weakref at 0x7f20682fcfe0; to 'Tensor' at 0x7f1fd9a02070>
2022-11-23T01:32:31.6095040Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6095110Z             }
2022-11-23T01:32:31.6095177Z             
2022-11-23T01:32:31.6095253Z  - 
2022-11-23T01:32:31.6095390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6095452Z             {
2022-11-23T01:32:31.6095592Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6095766Z                 'code': ['___check_obj_id(model, 139775432153776)'],
2022-11-23T01:32:31.6095893Z                 'obj_weakref': None
2022-11-23T01:32:31.6096129Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6096198Z             }
2022-11-23T01:32:31.6096268Z             
2022-11-23T01:32:31.6096336Z  - 
2022-11-23T01:32:31.6096463Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6096532Z             {
2022-11-23T01:32:31.6096675Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6096896Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6097020Z                 'obj_weakref': None
2022-11-23T01:32:31.6097244Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6097312Z             }
2022-11-23T01:32:31.6097373Z             
2022-11-23T01:32:31.6097451Z  - 
2022-11-23T01:32:31.6097590Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6097660Z             {
2022-11-23T01:32:31.6097784Z                 'guard_types': None,
2022-11-23T01:32:31.6097899Z                 'code': None,
2022-11-23T01:32:31.6098015Z                 'obj_weakref': None
2022-11-23T01:32:31.6098141Z                 'guarded_class': None
2022-11-23T01:32:31.6098210Z             }
2022-11-23T01:32:31.6098278Z             
2022-11-23T01:32:31.6098545Z [2022-11-23 01:29:53,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 560
2022-11-23T01:32:31.6098907Z [2022-11-23 01:29:53,795] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6099270Z [2022-11-23 01:29:53,855] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xh/cxhcmy3zjjtosmktqvx2aizjw6njyg3376g3lf7so4jf7k2syscs.py
2022-11-23T01:32:31.6099536Z [2022-11-23 01:29:53,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 560
2022-11-23T01:32:31.6099770Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6100087Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6100307Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6100565Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6100846Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6101167Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6101557Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6101910Z [2022-11-23 01:29:53,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6102284Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908> 
2022-11-23T01:32:31.6102387Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6102486Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T01:32:31.6102586Z               4 LOAD_CONST               1 (0.125)
2022-11-23T01:32:31.6102683Z               6 LOAD_CONST               2 (0.875)
2022-11-23T01:32:31.6102778Z               8 LOAD_CONST               3 (7)
2022-11-23T01:32:31.6102874Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6102973Z              12 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.6103131Z              14 LOAD_CONST               4 (('device',))
2022-11-23T01:32:31.6103230Z              16 CALL_FUNCTION_KW         4
2022-11-23T01:32:31.6103321Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6103398Z              20 BINARY_ADD
2022-11-23T01:32:31.6103479Z              22 RETURN_VALUE
2022-11-23T01:32:31.6103545Z  
2022-11-23T01:32:31.6103550Z 
2022-11-23T01:32:31.6103862Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909
2022-11-23T01:32:31.6104091Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6104464Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6104794Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6105148Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.6105545Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:31.6105980Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:31.6106445Z [2022-11-23 01:29:53,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.6106929Z [2022-11-23 01:29:53,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6107442Z [2022-11-23 01:29:53,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:31.6107684Z [2022-11-23 01:29:53,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.6107959Z [2022-11-23 01:29:53,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6108231Z [2022-11-23 01:29:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6108631Z [2022-11-23 01:29:53,863] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908>
2022-11-23T01:32:31.6108879Z [2022-11-23 01:29:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6109115Z [2022-11-23 01:29:53,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6109374Z [2022-11-23 01:29:53,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6109617Z [2022-11-23 01:29:53,867] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6109811Z [2022-11-23 01:29:53,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6109963Z  __compiled_fn_578 <eval_with_key>.3570 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6110061Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6110436Z call_function, linspace, <built-in method linspace of type object at 0x7f209c394c60>, (0.125, 0.875, 7), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:31.6110644Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T01:32:31.6110746Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.6110752Z 
2022-11-23T01:32:31.6111077Z [2022-11-23 01:29:53,868] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6111178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6111270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6111364Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6111464Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6111563Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6111663Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6111748Z              12 RETURN_VALUE
2022-11-23T01:32:31.6111754Z 
2022-11-23T01:32:31.6111818Z  
2022-11-23T01:32:31.6112128Z [2022-11-23 01:29:53,868] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6112247Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_578)
2022-11-23T01:32:31.6112345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6112443Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6112530Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6112624Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6112722Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6112804Z              12 RETURN_VALUE
2022-11-23T01:32:31.6112809Z 
2022-11-23T01:32:31.6112868Z  
2022-11-23T01:32:31.6113057Z [2022-11-23 01:29:53,868] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6113132Z  - 
2022-11-23T01:32:31.6113259Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6113327Z             {
2022-11-23T01:32:31.6113473Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6113662Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6113780Z                 'obj_weakref': None
2022-11-23T01:32:31.6114005Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6114076Z             }
2022-11-23T01:32:31.6114144Z             
2022-11-23T01:32:31.6114220Z  - 
2022-11-23T01:32:31.6114347Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.6114416Z             {
2022-11-23T01:32:31.6114552Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.6114729Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.6114981Z                 'obj_weakref': <weakref at 0x7f201e6b81d0; to 'Tensor' at 0x7f1fd9a01df0>
2022-11-23T01:32:31.6115251Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6115321Z             }
2022-11-23T01:32:31.6115391Z             
2022-11-23T01:32:31.6115469Z  - 
2022-11-23T01:32:31.6115590Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6115659Z             {
2022-11-23T01:32:31.6115805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6115921Z                 'code': None,
2022-11-23T01:32:31.6116134Z                 'obj_weakref': <weakref at 0x7f201e6b81d0; to 'Tensor' at 0x7f1fd9a01df0>
2022-11-23T01:32:31.6116382Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6116450Z             }
2022-11-23T01:32:31.6116512Z             
2022-11-23T01:32:31.6116587Z  - 
2022-11-23T01:32:31.6116721Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6116792Z             {
2022-11-23T01:32:31.6116934Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6117115Z                 'code': ['___check_obj_id(model, 139775432153776)'],
2022-11-23T01:32:31.6117239Z                 'obj_weakref': None
2022-11-23T01:32:31.6117465Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6117533Z             }
2022-11-23T01:32:31.6117605Z             
2022-11-23T01:32:31.6117680Z  - 
2022-11-23T01:32:31.6117806Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6117874Z             {
2022-11-23T01:32:31.6118015Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6118225Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6118348Z                 'obj_weakref': None
2022-11-23T01:32:31.6118573Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6118645Z             }
2022-11-23T01:32:31.6118716Z             
2022-11-23T01:32:31.6118794Z  - 
2022-11-23T01:32:31.6118931Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6118993Z             {
2022-11-23T01:32:31.6119120Z                 'guard_types': None,
2022-11-23T01:32:31.6119231Z                 'code': None,
2022-11-23T01:32:31.6119356Z                 'obj_weakref': None
2022-11-23T01:32:31.6119481Z                 'guarded_class': None
2022-11-23T01:32:31.6119550Z             }
2022-11-23T01:32:31.6119618Z             
2022-11-23T01:32:31.6119873Z [2022-11-23 01:29:53,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 561
2022-11-23T01:32:31.6120122Z [2022-11-23 01:29:53,878] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6120490Z [2022-11-23 01:29:53,939] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chnxje3kngsjijab7yriasksjha7pkf4gq76rb5u3ujgpfhaoy72.py
2022-11-23T01:32:31.6120760Z [2022-11-23 01:29:53,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 561
2022-11-23T01:32:31.6120768Z 
2022-11-23T01:32:31.6120869Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6120944Z import torch
2022-11-23T01:32:31.6121019Z import random
2022-11-23T01:32:31.6121141Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6121261Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6121267Z 
2022-11-23T01:32:31.6121350Z aten = torch.ops.aten
2022-11-23T01:32:31.6121492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6121591Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6121597Z 
2022-11-23T01:32:31.6121671Z import triton
2022-11-23T01:32:31.6121766Z import triton.language as tl
2022-11-23T01:32:31.6121895Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6122032Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6122078Z 
2022-11-23T01:32:31.6122101Z 
2022-11-23T01:32:31.6122267Z triton_fused_linspace_add0 = async_compile.triton('''
2022-11-23T01:32:31.6122342Z import triton
2022-11-23T01:32:31.6122434Z import triton.language as tl
2022-11-23T01:32:31.6122550Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6122658Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6122794Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6122923Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6122928Z 
2022-11-23T01:32:31.6123298Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6123367Z @triton.jit
2022-11-23T01:32:31.6123502Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6123576Z     xnumel = 7
2022-11-23T01:32:31.6123677Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6123812Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6123896Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6123967Z     x0 = xindex
2022-11-23T01:32:31.6124058Z     tmp4 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6124137Z     tmp0 = 0.125
2022-11-23T01:32:31.6124210Z     tmp1 = x0
2022-11-23T01:32:31.6124288Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.6124367Z     tmp3 = tmp2 + tmp0
2022-11-23T01:32:31.6124446Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:31.6124587Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.6124667Z ''')
2022-11-23T01:32:31.6124672Z 
2022-11-23T01:32:31.6124677Z 
2022-11-23T01:32:31.6124772Z async_compile.wait(globals())
2022-11-23T01:32:31.6124851Z del async_compile
2022-11-23T01:32:31.6124856Z 
2022-11-23T01:32:31.6124933Z def call(args):
2022-11-23T01:32:31.6125007Z     arg0_1, = args
2022-11-23T01:32:31.6125083Z     args.clear()
2022-11-23T01:32:31.6125285Z     buf0 = empty_strided((1, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6125372Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6125523Z     triton_fused_linspace_add0.run(arg0_1, buf0, 7, grid=grid(7), stream=stream0)
2022-11-23T01:32:31.6125598Z     del arg0_1
2022-11-23T01:32:31.6125675Z     return (buf0, )
2022-11-23T01:32:31.6125680Z 
2022-11-23T01:32:31.6125684Z 
2022-11-23T01:32:31.6125765Z if __name__ == "__main__":
2022-11-23T01:32:31.6125886Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6126015Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6126214Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6126321Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6126327Z 
2022-11-23T01:32:31.6126338Z 
2022-11-23T01:32:31.6126430Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6126505Z import torch
2022-11-23T01:32:31.6126581Z import random
2022-11-23T01:32:31.6126702Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6126830Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6126835Z 
2022-11-23T01:32:31.6126918Z aten = torch.ops.aten
2022-11-23T01:32:31.6127059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6127149Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6127155Z 
2022-11-23T01:32:31.6127230Z import triton
2022-11-23T01:32:31.6127322Z import triton.language as tl
2022-11-23T01:32:31.6127450Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6127593Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6127598Z 
2022-11-23T01:32:31.6127603Z 
2022-11-23T01:32:31.6127775Z triton_fused_linspace_add0 = async_compile.triton('''
2022-11-23T01:32:31.6127853Z import triton
2022-11-23T01:32:31.6127946Z import triton.language as tl
2022-11-23T01:32:31.6128116Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6128225Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6128384Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6128510Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6128515Z 
2022-11-23T01:32:31.6128881Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6128956Z @triton.jit
2022-11-23T01:32:31.6129087Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6129161Z     xnumel = 7
2022-11-23T01:32:31.6129253Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6129385Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6129470Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6129542Z     x0 = xindex
2022-11-23T01:32:31.6129664Z     tmp4 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6129741Z     tmp0 = 0.125
2022-11-23T01:32:31.6129808Z     tmp1 = x0
2022-11-23T01:32:31.6129889Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.6129968Z     tmp3 = tmp2 + tmp0
2022-11-23T01:32:31.6130059Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.6130136Z     tmp6 = tmp3 + tmp5
2022-11-23T01:32:31.6130274Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.6130360Z ''')
2022-11-23T01:32:31.6130365Z 
2022-11-23T01:32:31.6130370Z 
2022-11-23T01:32:31.6130465Z async_compile.wait(globals())
2022-11-23T01:32:31.6130535Z del async_compile
2022-11-23T01:32:31.6130540Z 
2022-11-23T01:32:31.6130615Z def call(args):
2022-11-23T01:32:31.6130688Z     arg0_1, = args
2022-11-23T01:32:31.6130764Z     args.clear()
2022-11-23T01:32:31.6130960Z     buf0 = empty_strided((1, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6131051Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6131205Z     triton_fused_linspace_add0.run(arg0_1, buf0, 7, grid=grid(7), stream=stream0)
2022-11-23T01:32:31.6131279Z     del arg0_1
2022-11-23T01:32:31.6131357Z     return (buf0, )
2022-11-23T01:32:31.6131362Z 
2022-11-23T01:32:31.6131366Z 
2022-11-23T01:32:31.6131448Z if __name__ == "__main__":
2022-11-23T01:32:31.6131566Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6131694Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6131895Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6132009Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6132014Z 
2022-11-23T01:32:31.6132086Z ok (0.168s)
2022-11-23T01:32:31.6132414Z   test_list_clearing_cuda (__main__.CudaTests) ... [2022-11-23 01:29:53,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:31.6132666Z [2022-11-23 01:29:53,952] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6133034Z [2022-11-23 01:29:54,105] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ko/ckoeic37z6uumbld2g3flusycodonrapmotmlfmq5h2dgspefhs2.py
2022-11-23T01:32:31.6133304Z [2022-11-23 01:29:54,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:31.6133559Z [2022-11-23 01:29:54,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:31.6133807Z [2022-11-23 01:29:54,251] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6134174Z [2022-11-23 01:29:54,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ko/ckoeic37z6uumbld2g3flusycodonrapmotmlfmq5h2dgspefhs2.py
2022-11-23T01:32:31.6134439Z [2022-11-23 01:29:54,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:31.6134445Z 
2022-11-23T01:32:31.6134546Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6134643Z import torch
2022-11-23T01:32:31.6134749Z import random
2022-11-23T01:32:31.6134871Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6134998Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6135004Z 
2022-11-23T01:32:31.6135088Z aten = torch.ops.aten
2022-11-23T01:32:31.6135228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6135327Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6135332Z 
2022-11-23T01:32:31.6135408Z import triton
2022-11-23T01:32:31.6135494Z import triton.language as tl
2022-11-23T01:32:31.6135621Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6135763Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6135769Z 
2022-11-23T01:32:31.6135773Z 
2022-11-23T01:32:31.6135931Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.6136009Z import triton
2022-11-23T01:32:31.6136106Z import triton.language as tl
2022-11-23T01:32:31.6136224Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6136331Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6136461Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6136588Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6136593Z 
2022-11-23T01:32:31.6136976Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6137052Z @triton.jit
2022-11-23T01:32:31.6137197Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6137272Z     xnumel = 25
2022-11-23T01:32:31.6137371Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6137502Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6137580Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6137657Z     x0 = xindex
2022-11-23T01:32:31.6137756Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6137858Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6137940Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.6138077Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6138157Z ''')
2022-11-23T01:32:31.6138169Z 
2022-11-23T01:32:31.6138173Z 
2022-11-23T01:32:31.6138260Z async_compile.wait(globals())
2022-11-23T01:32:31.6138337Z del async_compile
2022-11-23T01:32:31.6138342Z 
2022-11-23T01:32:31.6138418Z def call(args):
2022-11-23T01:32:31.6138492Z     x_1, y_1 = args
2022-11-23T01:32:31.6138572Z     args.clear()
2022-11-23T01:32:31.6138770Z     buf0 = empty_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6138978Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6139111Z     triton_fused_add0.run(x_1, y_1, buf0, 25, grid=grid(25), stream=stream0)
2022-11-23T01:32:31.6139181Z     del x_1
2022-11-23T01:32:31.6139254Z     del y_1
2022-11-23T01:32:31.6139454Z     buf1 = empty_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6139553Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T01:32:31.6139629Z     return (buf1, )
2022-11-23T01:32:31.6139634Z 
2022-11-23T01:32:31.6139638Z 
2022-11-23T01:32:31.6139720Z if __name__ == "__main__":
2022-11-23T01:32:31.6139842Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6139965Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6140156Z     x_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6140346Z     y_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6140461Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:31.6140466Z 
2022-11-23T01:32:31.6140471Z 
2022-11-23T01:32:31.6140571Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6140645Z import torch
2022-11-23T01:32:31.6140719Z import random
2022-11-23T01:32:31.6140879Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6141031Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6141037Z 
2022-11-23T01:32:31.6141120Z aten = torch.ops.aten
2022-11-23T01:32:31.6141261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6141357Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6141362Z 
2022-11-23T01:32:31.6141437Z import triton
2022-11-23T01:32:31.6141528Z import triton.language as tl
2022-11-23T01:32:31.6141656Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6141792Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6141797Z 
2022-11-23T01:32:31.6141809Z 
2022-11-23T01:32:31.6141957Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:31.6142033Z import triton
2022-11-23T01:32:31.6142126Z import triton.language as tl
2022-11-23T01:32:31.6142240Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6142348Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6142485Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6142611Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6142616Z 
2022-11-23T01:32:31.6142994Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6143069Z @triton.jit
2022-11-23T01:32:31.6143215Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6143290Z     xnumel = 25
2022-11-23T01:32:31.6143388Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6143522Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6143607Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6143673Z     x0 = xindex
2022-11-23T01:32:31.6143771Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6143872Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6143955Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.6144092Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6144180Z ''')
2022-11-23T01:32:31.6144185Z 
2022-11-23T01:32:31.6144190Z 
2022-11-23T01:32:31.6144283Z async_compile.wait(globals())
2022-11-23T01:32:31.6144366Z del async_compile
2022-11-23T01:32:31.6144371Z 
2022-11-23T01:32:31.6144440Z def call(args):
2022-11-23T01:32:31.6144513Z     x_1, y_1 = args
2022-11-23T01:32:31.6144592Z     args.clear()
2022-11-23T01:32:31.6144791Z     buf0 = empty_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6144884Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6145020Z     triton_fused_add0.run(x_1, y_1, buf0, 25, grid=grid(25), stream=stream0)
2022-11-23T01:32:31.6145091Z     del x_1
2022-11-23T01:32:31.6145154Z     del y_1
2022-11-23T01:32:31.6145352Z     buf1 = empty_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6145453Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T01:32:31.6145531Z     return (buf1, )
2022-11-23T01:32:31.6145536Z 
2022-11-23T01:32:31.6145540Z 
2022-11-23T01:32:31.6145621Z if __name__ == "__main__":
2022-11-23T01:32:31.6145742Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6145871Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6146064Z     x_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6146247Z     y_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6146363Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:31.6146368Z 
2022-11-23T01:32:31.6146440Z ok (0.433s)
2022-11-23T01:32:31.6146742Z   test_log2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6147095Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6147338Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6147600Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6147878Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6148195Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6148530Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6148858Z [2022-11-23 01:29:54,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6149239Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691> 
2022-11-23T01:32:31.6149344Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6149443Z                2 LOAD_METHOD              1 (log2)
2022-11-23T01:32:31.6149540Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6149637Z                6 CALL_METHOD              1
2022-11-23T01:32:31.6149741Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6149841Z               10 LOAD_METHOD              1 (log2)
2022-11-23T01:32:31.6149931Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6150028Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.6150108Z               16 BINARY_ADD
2022-11-23T01:32:31.6150207Z               18 CALL_METHOD              1
2022-11-23T01:32:31.6150375Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6150475Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.6150569Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.6150646Z               26 RETURN_VALUE
2022-11-23T01:32:31.6150715Z  
2022-11-23T01:32:31.6150721Z 
2022-11-23T01:32:31.6151046Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692
2022-11-23T01:32:31.6151273Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6151642Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6151967Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6152317Z [2022-11-23 01:29:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6152566Z [2022-11-23 01:29:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6152952Z [2022-11-23 01:29:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6153293Z [2022-11-23 01:29:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6153685Z [2022-11-23 01:29:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6154095Z [2022-11-23 01:29:54,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6154487Z [2022-11-23 01:29:54,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6154751Z [2022-11-23 01:29:54,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6155065Z [2022-11-23 01:29:54,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6155335Z [2022-11-23 01:29:54,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6155586Z [2022-11-23 01:29:54,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6155970Z [2022-11-23 01:29:54,381] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691>
2022-11-23T01:32:31.6156220Z [2022-11-23 01:29:54,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6156461Z [2022-11-23 01:29:54,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6156721Z [2022-11-23 01:29:54,382] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6156972Z [2022-11-23 01:29:54,386] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6157166Z [2022-11-23 01:29:54,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6157313Z  __compiled_fn_579 <eval_with_key>.3578 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6157412Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6157641Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6157821Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.6158045Z call_function, log2_1, <built-in method log2 of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.6158226Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T01:32:31.6158327Z output, output, output, ((log2, sub),), {}
2022-11-23T01:32:31.6158333Z 
2022-11-23T01:32:31.6158654Z [2022-11-23 01:29:54,386] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6158755Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6158854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6158952Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6159054Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6159148Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6159245Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6159321Z              12 RETURN_VALUE
2022-11-23T01:32:31.6159326Z 
2022-11-23T01:32:31.6159393Z  
2022-11-23T01:32:31.6159714Z [2022-11-23 01:29:54,386] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6159833Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_579)
2022-11-23T01:32:31.6159932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6160030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6160114Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6160208Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6160313Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6160451Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6160568Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6160650Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6160759Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6160857Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6160939Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6161027Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6161110Z              26 RETURN_VALUE
2022-11-23T01:32:31.6161115Z 
2022-11-23T01:32:31.6161182Z  
2022-11-23T01:32:31.6161370Z [2022-11-23 01:29:54,387] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6161447Z  - 
2022-11-23T01:32:31.6161572Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6161642Z             {
2022-11-23T01:32:31.6161780Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6161978Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6162106Z                 'obj_weakref': None
2022-11-23T01:32:31.6162332Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6162402Z             }
2022-11-23T01:32:31.6162472Z             
2022-11-23T01:32:31.6162546Z  - 
2022-11-23T01:32:31.6162669Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6162738Z             {
2022-11-23T01:32:31.6162890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6163002Z                 'code': None,
2022-11-23T01:32:31.6163218Z                 'obj_weakref': <weakref at 0x7f2022f5de90; to 'Tensor' at 0x7f20727c3e20>
2022-11-23T01:32:31.6163470Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6163540Z             }
2022-11-23T01:32:31.6163602Z             
2022-11-23T01:32:31.6163676Z  - 
2022-11-23T01:32:31.6163820Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6163890Z             {
2022-11-23T01:32:31.6164035Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6164211Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6164335Z                 'obj_weakref': None
2022-11-23T01:32:31.6164563Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6164633Z             }
2022-11-23T01:32:31.6164702Z             
2022-11-23T01:32:31.6164780Z  - 
2022-11-23T01:32:31.6164908Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6164977Z             {
2022-11-23T01:32:31.6165120Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6165337Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6165462Z                 'obj_weakref': None
2022-11-23T01:32:31.6165688Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6165761Z             }
2022-11-23T01:32:31.6165831Z             
2022-11-23T01:32:31.6165907Z  - 
2022-11-23T01:32:31.6166044Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6166106Z             {
2022-11-23T01:32:31.6166230Z                 'guard_types': None,
2022-11-23T01:32:31.6166342Z                 'code': None,
2022-11-23T01:32:31.6166464Z                 'obj_weakref': None
2022-11-23T01:32:31.6166591Z                 'guarded_class': None
2022-11-23T01:32:31.6166659Z             }
2022-11-23T01:32:31.6166721Z             
2022-11-23T01:32:31.6166984Z [2022-11-23 01:29:54,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 562
2022-11-23T01:32:31.6167274Z [2022-11-23 01:29:54,402] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6167667Z [2022-11-23 01:29:54,474] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ox/coxd4ugiggxq5jcdbkyw6pt4ty7jqvln3n4tutk7lwmivz5pgsdt.py
2022-11-23T01:32:31.6167952Z [2022-11-23 01:29:54,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 562
2022-11-23T01:32:31.6168190Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6168504Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6168725Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6168980Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6169257Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6169575Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6169927Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6170252Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6170629Z [2022-11-23 01:29:54,478] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691> 
2022-11-23T01:32:31.6170735Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6170835Z                2 LOAD_METHOD              1 (log2)
2022-11-23T01:32:31.6170933Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6171030Z                6 CALL_METHOD              1
2022-11-23T01:32:31.6171132Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6171227Z               10 LOAD_METHOD              1 (log2)
2022-11-23T01:32:31.6171320Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6171416Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.6171496Z               16 BINARY_ADD
2022-11-23T01:32:31.6171593Z               18 CALL_METHOD              1
2022-11-23T01:32:31.6171690Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6171777Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.6171866Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.6171952Z               26 RETURN_VALUE
2022-11-23T01:32:31.6172017Z  
2022-11-23T01:32:31.6172023Z 
2022-11-23T01:32:31.6172342Z [2022-11-23 01:29:54,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692
2022-11-23T01:32:31.6172565Z [2022-11-23 01:29:54,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6172924Z [2022-11-23 01:29:54,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6173241Z [2022-11-23 01:29:54,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6173590Z [2022-11-23 01:29:54,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6173842Z [2022-11-23 01:29:54,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6174229Z [2022-11-23 01:29:54,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6174597Z [2022-11-23 01:29:54,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6174984Z [2022-11-23 01:29:54,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6175397Z [2022-11-23 01:29:54,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6175769Z [2022-11-23 01:29:54,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6176037Z [2022-11-23 01:29:54,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6176354Z [2022-11-23 01:29:54,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6176629Z [2022-11-23 01:29:54,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6176880Z [2022-11-23 01:29:54,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6177263Z [2022-11-23 01:29:54,482] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691>
2022-11-23T01:32:31.6177517Z [2022-11-23 01:29:54,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6177757Z [2022-11-23 01:29:54,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6178013Z [2022-11-23 01:29:54,484] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6178274Z [2022-11-23 01:29:54,487] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6178468Z [2022-11-23 01:29:54,487] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6178611Z  __compiled_fn_580 <eval_with_key>.3584 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6178709Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6179064Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6179243Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.6179465Z call_function, log2_1, <built-in method log2 of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.6179636Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T01:32:31.6179748Z output, output, output, ((log2, sub),), {}
2022-11-23T01:32:31.6179756Z 
2022-11-23T01:32:31.6180085Z [2022-11-23 01:29:54,488] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6180190Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6180290Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6180385Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6180487Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6180581Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6180670Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6180752Z              12 RETURN_VALUE
2022-11-23T01:32:31.6180758Z 
2022-11-23T01:32:31.6180824Z  
2022-11-23T01:32:31.6181146Z [2022-11-23 01:29:54,488] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6181309Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_580)
2022-11-23T01:32:31.6181443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6181542Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6181626Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6181713Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6181826Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6181937Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6182034Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6182118Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6182225Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6182322Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6182398Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6182493Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6182577Z              26 RETURN_VALUE
2022-11-23T01:32:31.6182582Z 
2022-11-23T01:32:31.6182651Z  
2022-11-23T01:32:31.6182841Z [2022-11-23 01:29:54,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6182920Z  - 
2022-11-23T01:32:31.6183049Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6183113Z             {
2022-11-23T01:32:31.6183260Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6183452Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6183578Z                 'obj_weakref': None
2022-11-23T01:32:31.6183806Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6183879Z             }
2022-11-23T01:32:31.6183950Z             
2022-11-23T01:32:31.6184019Z  - 
2022-11-23T01:32:31.6184148Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6184218Z             {
2022-11-23T01:32:31.6184369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6184481Z                 'code': None,
2022-11-23T01:32:31.6184696Z                 'obj_weakref': <weakref at 0x7f2023338ef0; to 'Tensor' at 0x7f20682fc3b0>
2022-11-23T01:32:31.6184951Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6185014Z             }
2022-11-23T01:32:31.6185084Z             
2022-11-23T01:32:31.6185160Z  - 
2022-11-23T01:32:31.6185306Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6185376Z             {
2022-11-23T01:32:31.6185518Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6185698Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6185815Z                 'obj_weakref': None
2022-11-23T01:32:31.6186045Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6186115Z             }
2022-11-23T01:32:31.6186184Z             
2022-11-23T01:32:31.6186260Z  - 
2022-11-23T01:32:31.6186386Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6186459Z             {
2022-11-23T01:32:31.6186595Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6186818Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6186942Z                 'obj_weakref': None
2022-11-23T01:32:31.6187165Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6187241Z             }
2022-11-23T01:32:31.6187310Z             
2022-11-23T01:32:31.6187384Z  - 
2022-11-23T01:32:31.6187515Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6187583Z             {
2022-11-23T01:32:31.6187709Z                 'guard_types': None,
2022-11-23T01:32:31.6187821Z                 'code': None,
2022-11-23T01:32:31.6187944Z                 'obj_weakref': None
2022-11-23T01:32:31.6188069Z                 'guarded_class': None
2022-11-23T01:32:31.6188140Z             }
2022-11-23T01:32:31.6188202Z             
2022-11-23T01:32:31.6188495Z [2022-11-23 01:29:54,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 563
2022-11-23T01:32:31.6188810Z [2022-11-23 01:29:54,502] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6189177Z [2022-11-23 01:29:54,574] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i7/ci7ycw77dwfb6heihrgubfomxleefyygwzqov3emlwqiksjyfh2q.py
2022-11-23T01:32:31.6189447Z [2022-11-23 01:29:54,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 563
2022-11-23T01:32:31.6189453Z 
2022-11-23T01:32:31.6189555Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6189630Z import torch
2022-11-23T01:32:31.6189705Z import random
2022-11-23T01:32:31.6189821Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6189948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6189954Z 
2022-11-23T01:32:31.6190041Z aten = torch.ops.aten
2022-11-23T01:32:31.6190183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6190348Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6190354Z 
2022-11-23T01:32:31.6190448Z import triton
2022-11-23T01:32:31.6190544Z import triton.language as tl
2022-11-23T01:32:31.6190675Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6190814Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6190820Z 
2022-11-23T01:32:31.6190824Z 
2022-11-23T01:32:31.6191023Z triton_fused_mul_1_mul_add_log_1_sub_log0 = async_compile.triton('''
2022-11-23T01:32:31.6191100Z import triton
2022-11-23T01:32:31.6191194Z import triton.language as tl
2022-11-23T01:32:31.6191311Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6191416Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6191552Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6191678Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6191694Z 
2022-11-23T01:32:31.6192075Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6192155Z @triton.jit
2022-11-23T01:32:31.6192305Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6192380Z     xnumel = 64
2022-11-23T01:32:31.6192480Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6192614Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6192700Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6192766Z     x0 = xindex
2022-11-23T01:32:31.6192864Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6192946Z     tmp1 = tl.log(tmp0)
2022-11-23T01:32:31.6193027Z     tmp2 = 1.4426950408889634
2022-11-23T01:32:31.6193108Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.6193182Z     tmp4 = 1
2022-11-23T01:32:31.6193263Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.6193339Z     tmp6 = tl.log(tmp5)
2022-11-23T01:32:31.6193420Z     tmp7 = tmp6 * tmp2
2022-11-23T01:32:31.6193493Z     tmp8 = 2
2022-11-23T01:32:31.6193602Z     tmp9 = tmp7 - tmp8
2022-11-23T01:32:31.6193747Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6193883Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.6193969Z ''')
2022-11-23T01:32:31.6193975Z 
2022-11-23T01:32:31.6193979Z 
2022-11-23T01:32:31.6194068Z async_compile.wait(globals())
2022-11-23T01:32:31.6194146Z del async_compile
2022-11-23T01:32:31.6194151Z 
2022-11-23T01:32:31.6194228Z def call(args):
2022-11-23T01:32:31.6194308Z     arg0_1, = args
2022-11-23T01:32:31.6194384Z     args.clear()
2022-11-23T01:32:31.6194581Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6194813Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6194926Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6195090Z     triton_fused_mul_1_mul_add_log_1_sub_log0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.6195166Z     del arg0_1
2022-11-23T01:32:31.6195249Z     return (buf0, buf1, )
2022-11-23T01:32:31.6195254Z 
2022-11-23T01:32:31.6195259Z 
2022-11-23T01:32:31.6195339Z if __name__ == "__main__":
2022-11-23T01:32:31.6195465Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6195596Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6195795Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6195910Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6195916Z 
2022-11-23T01:32:31.6195920Z 
2022-11-23T01:32:31.6196015Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6196090Z import torch
2022-11-23T01:32:31.6196167Z import random
2022-11-23T01:32:31.6196292Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6196420Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6196426Z 
2022-11-23T01:32:31.6196512Z aten = torch.ops.aten
2022-11-23T01:32:31.6196658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6196749Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6196761Z 
2022-11-23T01:32:31.6196830Z import triton
2022-11-23T01:32:31.6196927Z import triton.language as tl
2022-11-23T01:32:31.6197056Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6197201Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6197206Z 
2022-11-23T01:32:31.6197210Z 
2022-11-23T01:32:31.6197405Z triton_fused_log_add_sub_log_1_mul_mul_10 = async_compile.triton('''
2022-11-23T01:32:31.6197485Z import triton
2022-11-23T01:32:31.6197578Z import triton.language as tl
2022-11-23T01:32:31.6197687Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6197795Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6197936Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6198064Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6198069Z 
2022-11-23T01:32:31.6198458Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6198533Z @triton.jit
2022-11-23T01:32:31.6198680Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6198757Z     xnumel = 64
2022-11-23T01:32:31.6198850Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6198985Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6199075Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6199149Z     x0 = xindex
2022-11-23T01:32:31.6199273Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6199357Z     tmp1 = tl.log(tmp0)
2022-11-23T01:32:31.6199441Z     tmp2 = 1.4426950408889634
2022-11-23T01:32:31.6199514Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.6199591Z     tmp4 = 1
2022-11-23T01:32:31.6199671Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:31.6199752Z     tmp6 = tl.log(tmp5)
2022-11-23T01:32:31.6199831Z     tmp7 = tmp6 * tmp2
2022-11-23T01:32:31.6199903Z     tmp8 = 2
2022-11-23T01:32:31.6200013Z     tmp9 = tmp7 - tmp8
2022-11-23T01:32:31.6200148Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6200285Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.6200372Z ''')
2022-11-23T01:32:31.6200377Z 
2022-11-23T01:32:31.6200382Z 
2022-11-23T01:32:31.6200477Z async_compile.wait(globals())
2022-11-23T01:32:31.6200555Z del async_compile
2022-11-23T01:32:31.6200561Z 
2022-11-23T01:32:31.6200636Z def call(args):
2022-11-23T01:32:31.6200714Z     arg0_1, = args
2022-11-23T01:32:31.6200814Z     args.clear()
2022-11-23T01:32:31.6201034Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6201231Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6201327Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6201499Z     triton_fused_log_add_sub_log_1_mul_mul_10.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.6201573Z     del arg0_1
2022-11-23T01:32:31.6201655Z     return (buf0, buf1, )
2022-11-23T01:32:31.6201661Z 
2022-11-23T01:32:31.6201666Z 
2022-11-23T01:32:31.6201746Z if __name__ == "__main__":
2022-11-23T01:32:31.6201860Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6201990Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6202190Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6202305Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6202310Z 
2022-11-23T01:32:31.6202384Z ok (0.202s)
2022-11-23T01:32:31.6202697Z   test_log_fp64_cuda (__main__.CudaTests) ... [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6203015Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6203236Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6203495Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6203767Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6204084Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6204437Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6204771Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6205154Z [2022-11-23 01:29:54,578] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709> 
2022-11-23T01:32:31.6205259Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6205364Z                2 LOAD_METHOD              1 (log)
2022-11-23T01:32:31.6205466Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6205564Z                6 CALL_METHOD              1
2022-11-23T01:32:31.6205659Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6205761Z               10 LOAD_METHOD              2 (log2)
2022-11-23T01:32:31.6205862Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6205960Z               14 CALL_METHOD              1
2022-11-23T01:32:31.6206056Z               16 BUILD_TUPLE              2
2022-11-23T01:32:31.6206141Z               18 RETURN_VALUE
2022-11-23T01:32:31.6206211Z  
2022-11-23T01:32:31.6206217Z 
2022-11-23T01:32:31.6206530Z [2022-11-23 01:29:54,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710
2022-11-23T01:32:31.6206758Z [2022-11-23 01:29:54,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6207120Z [2022-11-23 01:29:54,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6207466Z [2022-11-23 01:29:54,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6207838Z [2022-11-23 01:29:54,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6208089Z [2022-11-23 01:29:54,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6208476Z [2022-11-23 01:29:54,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6208826Z [2022-11-23 01:29:54,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6209203Z [2022-11-23 01:29:54,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6209473Z [2022-11-23 01:29:54,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6209722Z [2022-11-23 01:29:54,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6210095Z [2022-11-23 01:29:54,581] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709>
2022-11-23T01:32:31.6210338Z [2022-11-23 01:29:54,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6210577Z [2022-11-23 01:29:54,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6210838Z [2022-11-23 01:29:54,582] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6211095Z [2022-11-23 01:29:54,584] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6211290Z [2022-11-23 01:29:54,584] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6211435Z  __compiled_fn_581 <eval_with_key>.3590 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6211532Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6211759Z call_function, log, <built-in method log of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6211979Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6212089Z output, output, output, ((log, log2),), {}
2022-11-23T01:32:31.6212095Z 
2022-11-23T01:32:31.6212424Z [2022-11-23 01:29:54,585] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6212527Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6212624Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6212723Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6212826Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6212919Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6213008Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6213092Z              12 RETURN_VALUE
2022-11-23T01:32:31.6213097Z 
2022-11-23T01:32:31.6213163Z  
2022-11-23T01:32:31.6213484Z [2022-11-23 01:29:54,585] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6213603Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_581)
2022-11-23T01:32:31.6213700Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6213798Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6213884Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6213972Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6214113Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6214248Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6214344Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6214428Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6214537Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6214634Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6214709Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6214804Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6214886Z              26 RETURN_VALUE
2022-11-23T01:32:31.6214892Z 
2022-11-23T01:32:31.6214959Z  
2022-11-23T01:32:31.6215151Z [2022-11-23 01:29:54,585] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6215228Z  - 
2022-11-23T01:32:31.6215354Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6215417Z             {
2022-11-23T01:32:31.6215565Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6215759Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6215887Z                 'obj_weakref': None
2022-11-23T01:32:31.6216112Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6216181Z             }
2022-11-23T01:32:31.6216251Z             
2022-11-23T01:32:31.6216320Z  - 
2022-11-23T01:32:31.6216450Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6216520Z             {
2022-11-23T01:32:31.6216668Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6216780Z                 'code': None,
2022-11-23T01:32:31.6216988Z                 'obj_weakref': <weakref at 0x7f201e6b8540; to 'Tensor' at 0x7f2127a1cea0>
2022-11-23T01:32:31.6217242Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6217318Z             }
2022-11-23T01:32:31.6217380Z             
2022-11-23T01:32:31.6217457Z  - 
2022-11-23T01:32:31.6217597Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6217669Z             {
2022-11-23T01:32:31.6217807Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6217983Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6218101Z                 'obj_weakref': None
2022-11-23T01:32:31.6218332Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6218402Z             }
2022-11-23T01:32:31.6218471Z             
2022-11-23T01:32:31.6218551Z  - 
2022-11-23T01:32:31.6218678Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6218748Z             {
2022-11-23T01:32:31.6218991Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6219211Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6219335Z                 'obj_weakref': None
2022-11-23T01:32:31.6219561Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6219634Z             }
2022-11-23T01:32:31.6219703Z             
2022-11-23T01:32:31.6219782Z  - 
2022-11-23T01:32:31.6219914Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6219985Z             {
2022-11-23T01:32:31.6220111Z                 'guard_types': None,
2022-11-23T01:32:31.6220223Z                 'code': None,
2022-11-23T01:32:31.6220342Z                 'obj_weakref': None
2022-11-23T01:32:31.6220466Z                 'guarded_class': None
2022-11-23T01:32:31.6220534Z             }
2022-11-23T01:32:31.6220596Z             
2022-11-23T01:32:31.6220858Z [2022-11-23 01:29:54,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 564
2022-11-23T01:32:31.6221152Z [2022-11-23 01:29:54,595] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6221565Z [2022-11-23 01:29:54,734] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fc/cfchrgyvkunrsjbu7ngtxdngrbj5ius7d465fun6nmvdb7cpjrd4.py
2022-11-23T01:32:31.6221861Z [2022-11-23 01:29:54,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 564
2022-11-23T01:32:31.6222102Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6222418Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6222639Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6222900Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6223175Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6223495Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6223839Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6224160Z [2022-11-23 01:29:54,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6224529Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709> 
2022-11-23T01:32:31.6224633Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6224734Z                2 LOAD_METHOD              1 (log)
2022-11-23T01:32:31.6224835Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6224936Z                6 CALL_METHOD              1
2022-11-23T01:32:31.6225034Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6225134Z               10 LOAD_METHOD              2 (log2)
2022-11-23T01:32:31.6225233Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6225329Z               14 CALL_METHOD              1
2022-11-23T01:32:31.6225427Z               16 BUILD_TUPLE              2
2022-11-23T01:32:31.6225510Z               18 RETURN_VALUE
2022-11-23T01:32:31.6225577Z  
2022-11-23T01:32:31.6225583Z 
2022-11-23T01:32:31.6225897Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710
2022-11-23T01:32:31.6226114Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6226478Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6226795Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6227143Z [2022-11-23 01:29:54,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6227397Z [2022-11-23 01:29:54,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6227788Z [2022-11-23 01:29:54,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6228133Z [2022-11-23 01:29:54,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6228537Z [2022-11-23 01:29:54,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6228870Z [2022-11-23 01:29:54,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6229118Z [2022-11-23 01:29:54,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6229488Z [2022-11-23 01:29:54,740] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaeb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709>
2022-11-23T01:32:31.6229735Z [2022-11-23 01:29:54,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6229965Z [2022-11-23 01:29:54,740] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6230225Z [2022-11-23 01:29:54,741] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6230571Z [2022-11-23 01:29:54,744] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6230767Z [2022-11-23 01:29:54,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6230911Z  __compiled_fn_582 <eval_with_key>.3596 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6231009Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6231237Z call_function, log, <built-in method log of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6231462Z call_function, log2, <built-in method log2 of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6231564Z output, output, output, ((log, log2),), {}
2022-11-23T01:32:31.6231570Z 
2022-11-23T01:32:31.6231901Z [2022-11-23 01:29:54,745] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6232001Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6232104Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6232201Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6232302Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6232395Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6232492Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6232568Z              12 RETURN_VALUE
2022-11-23T01:32:31.6232574Z 
2022-11-23T01:32:31.6232639Z  
2022-11-23T01:32:31.6232958Z [2022-11-23 01:29:54,745] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6233077Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_582)
2022-11-23T01:32:31.6233176Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6233273Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6233360Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6233449Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6233564Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6233676Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6233778Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6233863Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6233974Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6234071Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6234154Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6234242Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6234324Z              26 RETURN_VALUE
2022-11-23T01:32:31.6234329Z 
2022-11-23T01:32:31.6234395Z  
2022-11-23T01:32:31.6234585Z [2022-11-23 01:29:54,746] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6234662Z  - 
2022-11-23T01:32:31.6234822Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6234894Z             {
2022-11-23T01:32:31.6235058Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6235250Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6235376Z                 'obj_weakref': None
2022-11-23T01:32:31.6235607Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6235678Z             }
2022-11-23T01:32:31.6235748Z             
2022-11-23T01:32:31.6235826Z  - 
2022-11-23T01:32:31.6235950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6236020Z             {
2022-11-23T01:32:31.6236171Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6236285Z                 'code': None,
2022-11-23T01:32:31.6236494Z                 'obj_weakref': <weakref at 0x7f201e6b8540; to 'Tensor' at 0x7f2127a1cea0>
2022-11-23T01:32:31.6236749Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6236820Z             }
2022-11-23T01:32:31.6236882Z             
2022-11-23T01:32:31.6236959Z  - 
2022-11-23T01:32:31.6237097Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6237168Z             {
2022-11-23T01:32:31.6237311Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6237487Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6237612Z                 'obj_weakref': None
2022-11-23T01:32:31.6237838Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6237910Z             }
2022-11-23T01:32:31.6237981Z             
2022-11-23T01:32:31.6238056Z  - 
2022-11-23T01:32:31.6238183Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6238253Z             {
2022-11-23T01:32:31.6238397Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6238618Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6238750Z                 'obj_weakref': None
2022-11-23T01:32:31.6238975Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6239044Z             }
2022-11-23T01:32:31.6239111Z             
2022-11-23T01:32:31.6239188Z  - 
2022-11-23T01:32:31.6239325Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6239388Z             {
2022-11-23T01:32:31.6239516Z                 'guard_types': None,
2022-11-23T01:32:31.6239628Z                 'code': None,
2022-11-23T01:32:31.6239751Z                 'obj_weakref': None
2022-11-23T01:32:31.6239880Z                 'guarded_class': None
2022-11-23T01:32:31.6239949Z             }
2022-11-23T01:32:31.6240011Z             
2022-11-23T01:32:31.6240271Z [2022-11-23 01:29:54,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 565
2022-11-23T01:32:31.6240570Z [2022-11-23 01:29:54,755] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6240926Z [2022-11-23 01:29:54,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2x/c2xd5s5aqrs7j76cr2n64za5ct7mt2e3so426aslnvjccuqjh5iu.py
2022-11-23T01:32:31.6241195Z [2022-11-23 01:29:54,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 565
2022-11-23T01:32:31.6241200Z 
2022-11-23T01:32:31.6241302Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6241376Z import torch
2022-11-23T01:32:31.6241452Z import random
2022-11-23T01:32:31.6241576Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6241697Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6241703Z 
2022-11-23T01:32:31.6241787Z aten = torch.ops.aten
2022-11-23T01:32:31.6241928Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6242027Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6242062Z 
2022-11-23T01:32:31.6242140Z import triton
2022-11-23T01:32:31.6242255Z import triton.language as tl
2022-11-23T01:32:31.6242385Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6242524Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6242535Z 
2022-11-23T01:32:31.6242540Z 
2022-11-23T01:32:31.6242706Z triton_fused_mul_log_log_10 = async_compile.triton('''
2022-11-23T01:32:31.6242783Z import triton
2022-11-23T01:32:31.6242877Z import triton.language as tl
2022-11-23T01:32:31.6242994Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6243099Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6243236Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6243367Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6243372Z 
2022-11-23T01:32:31.6243772Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6243842Z @triton.jit
2022-11-23T01:32:31.6243991Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6244069Z     xnumel = 1024
2022-11-23T01:32:31.6244170Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6244306Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6244392Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6244464Z     x0 = xindex
2022-11-23T01:32:31.6244557Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6244655Z     tmp1 = tl.libdevice.log(tmp0)
2022-11-23T01:32:31.6244737Z     tmp2 = 1.4426950408889634
2022-11-23T01:32:31.6244818Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.6244958Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6245094Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6245183Z ''')
2022-11-23T01:32:31.6245193Z 
2022-11-23T01:32:31.6245197Z 
2022-11-23T01:32:31.6245286Z async_compile.wait(globals())
2022-11-23T01:32:31.6245365Z del async_compile
2022-11-23T01:32:31.6245371Z 
2022-11-23T01:32:31.6245448Z def call(args):
2022-11-23T01:32:31.6245522Z     arg0_1, = args
2022-11-23T01:32:31.6245599Z     args.clear()
2022-11-23T01:32:31.6245804Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6246004Z     buf1 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6246097Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6246247Z     triton_fused_mul_log_log_10.run(arg0_1, buf0, buf1, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.6246321Z     del arg0_1
2022-11-23T01:32:31.6246407Z     return (buf0, buf1, )
2022-11-23T01:32:31.6246413Z 
2022-11-23T01:32:31.6246417Z 
2022-11-23T01:32:31.6246499Z if __name__ == "__main__":
2022-11-23T01:32:31.6246624Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6246760Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6246965Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6247080Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6247086Z 
2022-11-23T01:32:31.6247090Z 
2022-11-23T01:32:31.6247184Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6247260Z import torch
2022-11-23T01:32:31.6247338Z import random
2022-11-23T01:32:31.6247461Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6247587Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6247592Z 
2022-11-23T01:32:31.6247676Z aten = torch.ops.aten
2022-11-23T01:32:31.6247818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6247908Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6247920Z 
2022-11-23T01:32:31.6247989Z import triton
2022-11-23T01:32:31.6248113Z import triton.language as tl
2022-11-23T01:32:31.6248244Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6248410Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6248416Z 
2022-11-23T01:32:31.6248420Z 
2022-11-23T01:32:31.6248593Z triton_fused_log_log_1_mul0 = async_compile.triton('''
2022-11-23T01:32:31.6248669Z import triton
2022-11-23T01:32:31.6248762Z import triton.language as tl
2022-11-23T01:32:31.6248870Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6248976Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6249112Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6249241Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6249246Z 
2022-11-23T01:32:31.6249640Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6249715Z @triton.jit
2022-11-23T01:32:31.6249865Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6249942Z     xnumel = 1024
2022-11-23T01:32:31.6250034Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6250168Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6250255Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6250328Z     x0 = xindex
2022-11-23T01:32:31.6250428Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6250525Z     tmp1 = tl.libdevice.log(tmp0)
2022-11-23T01:32:31.6250604Z     tmp2 = 1.4426950408889634
2022-11-23T01:32:31.6250678Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:31.6250816Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.6250954Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6251041Z ''')
2022-11-23T01:32:31.6251046Z 
2022-11-23T01:32:31.6251051Z 
2022-11-23T01:32:31.6251149Z async_compile.wait(globals())
2022-11-23T01:32:31.6251229Z del async_compile
2022-11-23T01:32:31.6251234Z 
2022-11-23T01:32:31.6251310Z def call(args):
2022-11-23T01:32:31.6251385Z     arg0_1, = args
2022-11-23T01:32:31.6251455Z     args.clear()
2022-11-23T01:32:31.6251655Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6251855Z     buf1 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6251948Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6252105Z     triton_fused_log_log_1_mul0.run(arg0_1, buf0, buf1, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.6252179Z     del arg0_1
2022-11-23T01:32:31.6252262Z     return (buf0, buf1, )
2022-11-23T01:32:31.6252267Z 
2022-11-23T01:32:31.6252271Z 
2022-11-23T01:32:31.6252354Z if __name__ == "__main__":
2022-11-23T01:32:31.6252469Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6252599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6252801Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:31.6252918Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6252923Z 
2022-11-23T01:32:31.6252997Z ok (0.188s)
2022-11-23T01:32:31.6253310Z   test_log_softmax_cuda (__main__.CudaTests) ... [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6253629Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6253851Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6254100Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6254411Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6254730Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6255095Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6255415Z [2022-11-23 01:29:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6255785Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236> 
2022-11-23T01:32:31.6255888Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6255998Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6256099Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6256191Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6256274Z                8 BINARY_ADD
2022-11-23T01:32:31.6256417Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.6256513Z               12 CALL_METHOD              2
2022-11-23T01:32:31.6256614Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6256724Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6256822Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6256918Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:31.6257007Z               22 CALL_METHOD              2
2022-11-23T01:32:31.6257104Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6257215Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6257309Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6257403Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6257499Z               32 CALL_METHOD              2
2022-11-23T01:32:31.6257598Z               34 BUILD_TUPLE              3
2022-11-23T01:32:31.6257675Z               36 RETURN_VALUE
2022-11-23T01:32:31.6257742Z  
2022-11-23T01:32:31.6257747Z 
2022-11-23T01:32:31.6258061Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237
2022-11-23T01:32:31.6258280Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.6258687Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6259092Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6259418Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6259774Z [2022-11-23 01:29:54,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6260090Z [2022-11-23 01:29:54,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6260449Z [2022-11-23 01:29:54,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6260689Z [2022-11-23 01:29:54,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.6261165Z [2022-11-23 01:29:54,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6261508Z [2022-11-23 01:29:54,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6261853Z [2022-11-23 01:29:54,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6262237Z [2022-11-23 01:29:54,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6262505Z [2022-11-23 01:29:54,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6262965Z [2022-11-23 01:29:54,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6263310Z [2022-11-23 01:29:54,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6263677Z [2022-11-23 01:29:54,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6264088Z [2022-11-23 01:29:54,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6264381Z [2022-11-23 01:29:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6264631Z [2022-11-23 01:29:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6265011Z [2022-11-23 01:29:54,777] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236>
2022-11-23T01:32:31.6265255Z [2022-11-23 01:29:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6265493Z [2022-11-23 01:29:54,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6265754Z [2022-11-23 01:29:54,778] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6266005Z [2022-11-23 01:29:54,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6266199Z [2022-11-23 01:29:54,787] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6266345Z  __compiled_fn_583 <eval_with_key>.3602 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6266443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6266536Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6266712Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6266930Z call_function, log_softmax, <function log_softmax at 0x7f2073d57400>, (add, -1), {}
2022-11-23T01:32:31.6267080Z call_function, log_softmax_1, <function log_softmax at 0x7f2073d57400>, (ex_0_, 0), {}
2022-11-23T01:32:31.6267230Z call_function, log_softmax_2, <function log_softmax at 0x7f2073d57400>, (ex_1_, 1), {}
2022-11-23T01:32:31.6267377Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T01:32:31.6267383Z 
2022-11-23T01:32:31.6267708Z [2022-11-23 01:29:54,787] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6267835Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6267960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6268055Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6268149Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6268243Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6268339Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6268422Z              12 RETURN_VALUE
2022-11-23T01:32:31.6268427Z 
2022-11-23T01:32:31.6268493Z  
2022-11-23T01:32:31.6268811Z [2022-11-23 01:29:54,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6268928Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_583)
2022-11-23T01:32:31.6269027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6269119Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6269202Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6269301Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6269402Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6269486Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6269581Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6269694Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6269798Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6269895Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6269978Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6270088Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6270183Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6270327Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6270459Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6270551Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.6270634Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.6270730Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.6270816Z              38 RETURN_VALUE
2022-11-23T01:32:31.6270821Z 
2022-11-23T01:32:31.6270886Z  
2022-11-23T01:32:31.6271075Z [2022-11-23 01:29:54,788] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6271151Z  - 
2022-11-23T01:32:31.6271269Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6271338Z             {
2022-11-23T01:32:31.6271484Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6271677Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6271800Z                 'obj_weakref': None
2022-11-23T01:32:31.6272027Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6272097Z             }
2022-11-23T01:32:31.6272159Z             
2022-11-23T01:32:31.6272233Z  - 
2022-11-23T01:32:31.6272363Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6272435Z             {
2022-11-23T01:32:31.6272582Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6272699Z                 'code': None,
2022-11-23T01:32:31.6272911Z                 'obj_weakref': <weakref at 0x7f207277c220; to 'Tensor' at 0x7f1ff816b6a0>
2022-11-23T01:32:31.6273152Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6273220Z             }
2022-11-23T01:32:31.6273287Z             
2022-11-23T01:32:31.6273361Z  - 
2022-11-23T01:32:31.6273492Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6273560Z             {
2022-11-23T01:32:31.6273706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6273811Z                 'code': None,
2022-11-23T01:32:31.6274024Z                 'obj_weakref': <weakref at 0x7f1fd97db010; to 'Tensor' at 0x7f2068242ed0>
2022-11-23T01:32:31.6274311Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6274437Z             }
2022-11-23T01:32:31.6274506Z             
2022-11-23T01:32:31.6274581Z  - 
2022-11-23T01:32:31.6274721Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6274782Z             {
2022-11-23T01:32:31.6274923Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6275099Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6275223Z                 'obj_weakref': None
2022-11-23T01:32:31.6275454Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6275526Z             }
2022-11-23T01:32:31.6275594Z             
2022-11-23T01:32:31.6275663Z  - 
2022-11-23T01:32:31.6275789Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6275858Z             {
2022-11-23T01:32:31.6276000Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6276224Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6276354Z                 'obj_weakref': None
2022-11-23T01:32:31.6276575Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6276638Z             }
2022-11-23T01:32:31.6276707Z             
2022-11-23T01:32:31.6276784Z  - 
2022-11-23T01:32:31.6276916Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.6276986Z             {
2022-11-23T01:32:31.6277112Z                 'guard_types': None,
2022-11-23T01:32:31.6277224Z                 'code': None,
2022-11-23T01:32:31.6277339Z                 'obj_weakref': None
2022-11-23T01:32:31.6277464Z                 'guarded_class': None
2022-11-23T01:32:31.6277533Z             }
2022-11-23T01:32:31.6277602Z             
2022-11-23T01:32:31.6277867Z [2022-11-23 01:29:54,805] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 566
2022-11-23T01:32:31.6278375Z [2022-11-23 01:29:54,842] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:31.6279500Z [2022-11-23 01:29:54,845] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf8')]
2022-11-23T01:32:31.6279714Z [2022-11-23 01:29:54,852] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:31.6279920Z [2022-11-23 01:29:54,852] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.6280123Z [2022-11-23 01:29:54,852] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:31.6280317Z [2022-11-23 01:29:54,852] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.6280682Z [2022-11-23 01:29:55,083] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dv/cdvtqgdr2bkunz4uanrvpllnqi5jqpcxhcgzhg7274ijwy2q2zfk.py
2022-11-23T01:32:31.6280948Z [2022-11-23 01:29:55,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 566
2022-11-23T01:32:31.6281187Z [2022-11-23 01:29:55,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6281504Z [2022-11-23 01:29:55,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6281755Z [2022-11-23 01:29:55,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6282013Z [2022-11-23 01:29:55,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6282312Z [2022-11-23 01:29:55,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6282632Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6282975Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6283288Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6283661Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236> 
2022-11-23T01:32:31.6283768Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6283878Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6283977Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6284075Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6284157Z                8 BINARY_ADD
2022-11-23T01:32:31.6284298Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.6284387Z               12 CALL_METHOD              2
2022-11-23T01:32:31.6284487Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6284596Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6284692Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6284788Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:31.6284884Z               22 CALL_METHOD              2
2022-11-23T01:32:31.6284983Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6285085Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:31.6285181Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6285276Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6285371Z               32 CALL_METHOD              2
2022-11-23T01:32:31.6285467Z               34 BUILD_TUPLE              3
2022-11-23T01:32:31.6285551Z               36 RETURN_VALUE
2022-11-23T01:32:31.6285619Z  
2022-11-23T01:32:31.6285624Z 
2022-11-23T01:32:31.6285947Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237
2022-11-23T01:32:31.6286158Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.6286566Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6286863Z [2022-11-23 01:29:55,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6287179Z [2022-11-23 01:29:55,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6287535Z [2022-11-23 01:29:55,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6287857Z [2022-11-23 01:29:55,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6288241Z [2022-11-23 01:29:55,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6288486Z [2022-11-23 01:29:55,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:31.6288941Z [2022-11-23 01:29:55,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6289259Z [2022-11-23 01:29:55,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6289602Z [2022-11-23 01:29:55,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6289988Z [2022-11-23 01:29:55,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6290249Z [2022-11-23 01:29:55,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6290711Z [2022-11-23 01:29:55,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6291057Z [2022-11-23 01:29:55,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>)]
2022-11-23T01:32:31.6291427Z [2022-11-23 01:29:55,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable()]
2022-11-23T01:32:31.6291851Z [2022-11-23 01:29:55,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f2073d57400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6292150Z [2022-11-23 01:29:55,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6292403Z [2022-11-23 01:29:55,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6292785Z [2022-11-23 01:29:55,102] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f218f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236>
2022-11-23T01:32:31.6293038Z [2022-11-23 01:29:55,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6293278Z [2022-11-23 01:29:55,102] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6293542Z [2022-11-23 01:29:55,103] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6293797Z [2022-11-23 01:29:55,114] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6293987Z [2022-11-23 01:29:55,115] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6294131Z  __compiled_fn_584 <eval_with_key>.3608 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6294227Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6294323Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6294510Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6294730Z call_function, log_softmax, <function log_softmax at 0x7f2073d57400>, (add, -1), {}
2022-11-23T01:32:31.6294880Z call_function, log_softmax_1, <function log_softmax at 0x7f2073d57400>, (ex_0_, 0), {}
2022-11-23T01:32:31.6295029Z call_function, log_softmax_2, <function log_softmax at 0x7f2073d57400>, (ex_1_, 1), {}
2022-11-23T01:32:31.6295195Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T01:32:31.6295201Z 
2022-11-23T01:32:31.6295552Z [2022-11-23 01:29:55,115] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6295654Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6295754Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6295848Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6295948Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6296040Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6296135Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6296212Z              12 RETURN_VALUE
2022-11-23T01:32:31.6296217Z 
2022-11-23T01:32:31.6296286Z  
2022-11-23T01:32:31.6296615Z [2022-11-23 01:29:55,115] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6296737Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_584)
2022-11-23T01:32:31.6296837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6296935Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6297019Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6297108Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6297204Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6303291Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6303406Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6303521Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6303632Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6303731Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6303807Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6303917Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6304013Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6304103Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6304215Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6304311Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.6304393Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.6304488Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.6304563Z              38 RETURN_VALUE
2022-11-23T01:32:31.6304569Z 
2022-11-23T01:32:31.6304635Z  
2022-11-23T01:32:31.6304845Z [2022-11-23 01:29:55,116] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6304925Z  - 
2022-11-23T01:32:31.6305050Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6305120Z             {
2022-11-23T01:32:31.6305264Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6305449Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6305572Z                 'obj_weakref': None
2022-11-23T01:32:31.6305800Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6305873Z             }
2022-11-23T01:32:31.6305943Z             
2022-11-23T01:32:31.6306019Z  - 
2022-11-23T01:32:31.6306148Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6306210Z             {
2022-11-23T01:32:31.6306359Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6306471Z                 'code': None,
2022-11-23T01:32:31.6306680Z                 'obj_weakref': <weakref at 0x7f2072828040; to 'Tensor' at 0x7f2068051080>
2022-11-23T01:32:31.6306929Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6307000Z             }
2022-11-23T01:32:31.6307071Z             
2022-11-23T01:32:31.6307139Z  - 
2022-11-23T01:32:31.6307267Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6307335Z             {
2022-11-23T01:32:31.6307484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6307670Z                 'code': None,
2022-11-23T01:32:31.6307903Z                 'obj_weakref': <weakref at 0x7f2072828360; to 'Tensor' at 0x7f2115bed760>
2022-11-23T01:32:31.6308154Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6308216Z             }
2022-11-23T01:32:31.6308283Z             
2022-11-23T01:32:31.6308357Z  - 
2022-11-23T01:32:31.6308490Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6308559Z             {
2022-11-23T01:32:31.6308696Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6308872Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6308988Z                 'obj_weakref': None
2022-11-23T01:32:31.6309218Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6309288Z             }
2022-11-23T01:32:31.6309356Z             
2022-11-23T01:32:31.6309429Z  - 
2022-11-23T01:32:31.6309556Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6309629Z             {
2022-11-23T01:32:31.6309761Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6309980Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6310102Z                 'obj_weakref': None
2022-11-23T01:32:31.6310400Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6310486Z             }
2022-11-23T01:32:31.6310567Z             
2022-11-23T01:32:31.6310643Z  - 
2022-11-23T01:32:31.6310764Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.6310832Z             {
2022-11-23T01:32:31.6310957Z                 'guard_types': None,
2022-11-23T01:32:31.6311067Z                 'code': None,
2022-11-23T01:32:31.6311189Z                 'obj_weakref': None
2022-11-23T01:32:31.6311314Z                 'guarded_class': None
2022-11-23T01:32:31.6311377Z             }
2022-11-23T01:32:31.6311446Z             
2022-11-23T01:32:31.6311715Z [2022-11-23 01:29:55,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 567
2022-11-23T01:32:31.6312225Z [2022-11-23 01:29:55,180] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:31.6313346Z [2022-11-23 01:29:55,182] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf8')]
2022-11-23T01:32:31.6313561Z [2022-11-23 01:29:55,188] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:31.6313763Z [2022-11-23 01:29:55,188] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.6313963Z [2022-11-23 01:29:55,188] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:31.6314161Z [2022-11-23 01:29:55,188] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.6314167Z 
2022-11-23T01:32:31.6314269Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6314344Z import torch
2022-11-23T01:32:31.6314413Z import random
2022-11-23T01:32:31.6314534Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6314660Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6314665Z 
2022-11-23T01:32:31.6314749Z aten = torch.ops.aten
2022-11-23T01:32:31.6314927Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6315044Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6315050Z 
2022-11-23T01:32:31.6315124Z import triton
2022-11-23T01:32:31.6315210Z import triton.language as tl
2022-11-23T01:32:31.6315338Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6315484Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6315489Z 
2022-11-23T01:32:31.6315494Z 
2022-11-23T01:32:31.6315681Z triton_fused_amax_1_exp_1_sub_2_sum_20 = async_compile.triton('''
2022-11-23T01:32:31.6315759Z import triton
2022-11-23T01:32:31.6315852Z import triton.language as tl
2022-11-23T01:32:31.6315967Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6316071Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6316198Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6316326Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6316332Z 
2022-11-23T01:32:31.6316423Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6316547Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:31.6316634Z               filename=__file__,
2022-11-23T01:32:31.6316977Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6317051Z @triton.jit
2022-11-23T01:32:31.6317233Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6317300Z     xnumel = 8
2022-11-23T01:32:31.6317373Z     rnumel = 8
2022-11-23T01:32:31.6317475Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6317618Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6317704Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6317826Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6317898Z     x0 = xindex
2022-11-23T01:32:31.6318077Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6318186Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6318275Z         rindex = roffset + rbase
2022-11-23T01:32:31.6318361Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6318433Z         r1 = rindex
2022-11-23T01:32:31.6318650Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6318785Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:31.6318894Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6318993Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:31.6319114Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6319221Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6319308Z         rindex = roffset + rbase
2022-11-23T01:32:31.6319394Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6319470Z         r1 = rindex
2022-11-23T01:32:31.6319676Z         tmp2 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6319795Z         tmp3 = tmp2 - tmp1
2022-11-23T01:32:31.6319879Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:31.6320003Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:31.6320118Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6320213Z     tl.store(out_ptr1 + x0, tmp5, xmask)
2022-11-23T01:32:31.6320298Z ''')
2022-11-23T01:32:31.6320304Z 
2022-11-23T01:32:31.6320308Z 
2022-11-23T01:32:31.6320543Z triton_fused_exp_1_log_2_sum_1_log_1_sub_2_sub_1_sub_amax_2_sum_3_sub_31 = async_compile.triton('''
2022-11-23T01:32:31.6320612Z import triton
2022-11-23T01:32:31.6320704Z import triton.language as tl
2022-11-23T01:32:31.6320819Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6320926Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6321093Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6321223Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6321249Z 
2022-11-23T01:32:31.6321340Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6321457Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.6321536Z               filename=__file__,
2022-11-23T01:32:31.6321931Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.6322005Z @triton.jit
2022-11-23T01:32:31.6322220Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6322293Z     xnumel = 8
2022-11-23T01:32:31.6322366Z     rnumel = 8
2022-11-23T01:32:31.6322464Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6322598Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6322685Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6322806Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6322877Z     x0 = xindex
2022-11-23T01:32:31.6323060Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6323166Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6323252Z         rindex = roffset + rbase
2022-11-23T01:32:31.6323331Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6323405Z         r1 = rindex
2022-11-23T01:32:31.6323621Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6323837Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6323918Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.6324047Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp2), tmp2, _tmp3)
2022-11-23T01:32:31.6324164Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6324286Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6324465Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6324571Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6324659Z         rindex = roffset + rbase
2022-11-23T01:32:31.6324746Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6324818Z         r1 = rindex
2022-11-23T01:32:31.6325034Z         tmp4 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6325248Z         tmp5 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6325323Z         tmp6 = tmp4 + tmp5
2022-11-23T01:32:31.6325437Z         tmp7 = tmp6 - tmp3
2022-11-23T01:32:31.6325520Z         tmp8 = tl.exp(tmp7)
2022-11-23T01:32:31.6325646Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:31.6325782Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp5), tmp5, _tmp10)
2022-11-23T01:32:31.6325900Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6326015Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6326127Z     _tmp14 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6326234Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6326323Z         rindex = roffset + rbase
2022-11-23T01:32:31.6326408Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6326486Z         r1 = rindex
2022-11-23T01:32:31.6326704Z         tmp11 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6326921Z         tmp15 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6327117Z         tmp20 = tl.load(in_ptr2 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6327305Z         tmp22 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6327454Z         tmp12 = tmp11 - tmp10
2022-11-23T01:32:31.6327573Z         tmp13 = tl.exp(tmp12)
2022-11-23T01:32:31.6327696Z         _tmp14 = tl.where(xmask & rmask, _tmp14 + tmp13, _tmp14)
2022-11-23T01:32:31.6327779Z         tmp16 = tmp15 + tmp11
2022-11-23T01:32:31.6327896Z         tmp17 = tmp16 - tmp3
2022-11-23T01:32:31.6327977Z         tmp18 = tl.log(tmp9)
2022-11-23T01:32:31.6328087Z         tmp19 = tmp17 - tmp18
2022-11-23T01:32:31.6328203Z         tmp21 = tmp15 - tmp20
2022-11-23T01:32:31.6328289Z         tmp23 = tl.log(tmp22)
2022-11-23T01:32:31.6328403Z         tmp24 = tmp21 - tmp23
2022-11-23T01:32:31.6328567Z         tl.store(out_ptr4 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp19, xmask & rmask)
2022-11-23T01:32:31.6328728Z         tl.store(out_ptr5 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp24, xmask & rmask)
2022-11-23T01:32:31.6328847Z     tmp14 = tl.reshape(tl.sum(_tmp14, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6328949Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6329038Z         rindex = roffset + rbase
2022-11-23T01:32:31.6329125Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6329197Z         r1 = rindex
2022-11-23T01:32:31.6329411Z         tmp25 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6329526Z         tmp26 = tmp25 - tmp10
2022-11-23T01:32:31.6329609Z         tmp27 = tl.log(tmp14)
2022-11-23T01:32:31.6329718Z         tmp28 = tmp26 - tmp27
2022-11-23T01:32:31.6329878Z         tl.store(out_ptr6 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp28, xmask & rmask)
2022-11-23T01:32:31.6329963Z ''')
2022-11-23T01:32:31.6329969Z 
2022-11-23T01:32:31.6329973Z 
2022-11-23T01:32:31.6330065Z async_compile.wait(globals())
2022-11-23T01:32:31.6330143Z del async_compile
2022-11-23T01:32:31.6330148Z 
2022-11-23T01:32:31.6330228Z def call(args):
2022-11-23T01:32:31.6330307Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6330382Z     args.clear()
2022-11-23T01:32:31.6330578Z     buf2 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6330778Z     buf3 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6330867Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6331027Z     triton_fused_amax_1_exp_1_sub_2_sum_20.run(arg0_1, buf2, buf3, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6331220Z     buf6 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6331412Z     buf7 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6331602Z     buf8 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6331805Z     triton_fused_exp_1_log_2_sum_1_log_1_sub_2_sub_1_sub_amax_2_sum_3_sub_31.run(arg0_1, arg1_1, buf2, buf3, buf6, buf7, buf8, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6331872Z     del arg0_1
2022-11-23T01:32:31.6331944Z     del arg1_1
2022-11-23T01:32:31.6332033Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:31.6332038Z 
2022-11-23T01:32:31.6332046Z 
2022-11-23T01:32:31.6332127Z if __name__ == "__main__":
2022-11-23T01:32:31.6332247Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6332376Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6332575Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6332771Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6332885Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6332890Z 
2022-11-23T01:32:31.6333253Z [2022-11-23 01:29:55,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cpheqdlhz23xkbqmb3g6ncw3c5ki6wlzjgb4txs67q7h3e635giv.py
2022-11-23T01:32:31.6333524Z [2022-11-23 01:29:55,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 567
2022-11-23T01:32:31.6333530Z 
2022-11-23T01:32:31.6333664Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6333743Z import torch
2022-11-23T01:32:31.6333842Z import random
2022-11-23T01:32:31.6333965Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6334091Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6334096Z 
2022-11-23T01:32:31.6334172Z aten = torch.ops.aten
2022-11-23T01:32:31.6334312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6334411Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6334416Z 
2022-11-23T01:32:31.6334489Z import triton
2022-11-23T01:32:31.6334582Z import triton.language as tl
2022-11-23T01:32:31.6334708Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6334854Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6334859Z 
2022-11-23T01:32:31.6334864Z 
2022-11-23T01:32:31.6335067Z triton_fused_amax_1_sum_2__to_copy_2_sub_2_exp_10 = async_compile.triton('''
2022-11-23T01:32:31.6335136Z import triton
2022-11-23T01:32:31.6335232Z import triton.language as tl
2022-11-23T01:32:31.6335350Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6335454Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6335587Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6335718Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6335723Z 
2022-11-23T01:32:31.6335812Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6335933Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:31.6336013Z               filename=__file__,
2022-11-23T01:32:31.6336354Z               meta={'signature': {0: '*fp16', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6336428Z @triton.jit
2022-11-23T01:32:31.6336612Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6336688Z     xnumel = 8
2022-11-23T01:32:31.6336762Z     rnumel = 8
2022-11-23T01:32:31.6336866Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6336997Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6337082Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6337204Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6337276Z     x0 = xindex
2022-11-23T01:32:31.6337461Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6337567Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6337657Z         rindex = roffset + rbase
2022-11-23T01:32:31.6337736Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6337811Z         r1 = rindex
2022-11-23T01:32:31.6338054Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6338147Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.6338279Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:31.6338396Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6338495Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:31.6338613Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6338712Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6338923Z         rindex = roffset + rbase
2022-11-23T01:32:31.6339015Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6339087Z         r1 = rindex
2022-11-23T01:32:31.6339326Z         tmp3 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6339420Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.6339532Z         tmp5 = tmp4 - tmp2
2022-11-23T01:32:31.6339609Z         tmp6 = tl.exp(tmp5)
2022-11-23T01:32:31.6339733Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.6339849Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6340024Z     tl.store(out_ptr1 + x0, tmp7, xmask)
2022-11-23T01:32:31.6340135Z ''')
2022-11-23T01:32:31.6340141Z 
2022-11-23T01:32:31.6340146Z 
2022-11-23T01:32:31.6340401Z triton_fused__to_copy_1_sub_1_log_2_sum_1_sum_2_sub_4__to_copy_2_log__to_copy_3_sub_21 = async_compile.triton('''
2022-11-23T01:32:31.6340477Z import triton
2022-11-23T01:32:31.6340564Z import triton.language as tl
2022-11-23T01:32:31.6340678Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6340781Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6340916Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6341043Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6341049Z 
2022-11-23T01:32:31.6341140Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6341257Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.6341345Z               filename=__file__,
2022-11-23T01:32:31.6341735Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp32', 3: '*fp32', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:31.6341815Z @triton.jit
2022-11-23T01:32:31.6342026Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6342098Z     xnumel = 8
2022-11-23T01:32:31.6342169Z     rnumel = 8
2022-11-23T01:32:31.6342268Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6342405Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6342490Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6342603Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6342676Z     x0 = xindex
2022-11-23T01:32:31.6342861Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6342968Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6343061Z         rindex = roffset + rbase
2022-11-23T01:32:31.6343150Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6343224Z         r1 = rindex
2022-11-23T01:32:31.6343454Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6343692Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6343773Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.6343864Z         tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.6343995Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp3), tmp3, _tmp4)
2022-11-23T01:32:31.6344110Z     tmp4 = tl.reshape(tl.max(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6344228Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6344409Z     _tmp13 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6344514Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6344605Z         rindex = roffset + rbase
2022-11-23T01:32:31.6344693Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6344764Z         r1 = rindex
2022-11-23T01:32:31.6345003Z         tmp5 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6345237Z         tmp6 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6345320Z         tmp7 = tmp5 + tmp6
2022-11-23T01:32:31.6345403Z         tmp8 = tmp7.to(tl.float32)
2022-11-23T01:32:31.6345515Z         tmp9 = tmp8 - tmp4
2022-11-23T01:32:31.6345600Z         tmp10 = tl.exp(tmp9)
2022-11-23T01:32:31.6345724Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:31.6345816Z         tmp12 = tmp6.to(tl.float32)
2022-11-23T01:32:31.6345950Z         _tmp13 = tl.where(xmask & rmask & (_tmp13 < tmp12), tmp12, _tmp13)
2022-11-23T01:32:31.6346064Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6346205Z     tmp13 = tl.reshape(tl.max(_tmp13, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6346347Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6346453Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6346542Z         rindex = roffset + rbase
2022-11-23T01:32:31.6346627Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6346699Z         r1 = rindex
2022-11-23T01:32:31.6346939Z         tmp14 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6347170Z         tmp19 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6347365Z         tmp27 = tl.load(in_ptr2 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6347560Z         tmp29 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6347652Z         tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:31.6347768Z         tmp16 = tmp15 - tmp13
2022-11-23T01:32:31.6347856Z         tmp17 = tl.exp(tmp16)
2022-11-23T01:32:31.6347985Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp17, _tmp18)
2022-11-23T01:32:31.6348060Z         tmp20 = tmp19 + tmp14
2022-11-23T01:32:31.6348152Z         tmp21 = tmp20.to(tl.float32)
2022-11-23T01:32:31.6348270Z         tmp22 = tmp21 - tmp4
2022-11-23T01:32:31.6348354Z         tmp23 = tl.log(tmp11)
2022-11-23T01:32:31.6348469Z         tmp24 = tmp22 - tmp23
2022-11-23T01:32:31.6348560Z         tmp25 = tmp24.to(tl.float32)
2022-11-23T01:32:31.6348646Z         tmp26 = tmp19.to(tl.float32)
2022-11-23T01:32:31.6348755Z         tmp28 = tmp26 - tmp27
2022-11-23T01:32:31.6348838Z         tmp30 = tl.log(tmp29)
2022-11-23T01:32:31.6348953Z         tmp31 = tmp28 - tmp30
2022-11-23T01:32:31.6349042Z         tmp32 = tmp31.to(tl.float32)
2022-11-23T01:32:31.6349202Z         tl.store(out_ptr4 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp25, xmask & rmask)
2022-11-23T01:32:31.6349365Z         tl.store(out_ptr5 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp32, xmask & rmask)
2022-11-23T01:32:31.6349484Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6349592Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6349674Z         rindex = roffset + rbase
2022-11-23T01:32:31.6349757Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6349829Z         r1 = rindex
2022-11-23T01:32:31.6350068Z         tmp33 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6350158Z         tmp34 = tmp33.to(tl.float32)
2022-11-23T01:32:31.6350341Z         tmp35 = tmp34 - tmp13
2022-11-23T01:32:31.6350435Z         tmp36 = tl.log(tmp18)
2022-11-23T01:32:31.6350546Z         tmp37 = tmp35 - tmp36
2022-11-23T01:32:31.6350636Z         tmp38 = tmp37.to(tl.float32)
2022-11-23T01:32:31.6350795Z         tl.store(out_ptr6 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp38, xmask & rmask)
2022-11-23T01:32:31.6350881Z ''')
2022-11-23T01:32:31.6350887Z 
2022-11-23T01:32:31.6350894Z 
2022-11-23T01:32:31.6350991Z async_compile.wait(globals())
2022-11-23T01:32:31.6351067Z del async_compile
2022-11-23T01:32:31.6351072Z 
2022-11-23T01:32:31.6351149Z def call(args):
2022-11-23T01:32:31.6351221Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6351297Z     args.clear()
2022-11-23T01:32:31.6351496Z     buf2 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6351691Z     buf3 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6351782Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6351951Z     triton_fused_amax_1_sum_2__to_copy_2_sub_2_exp_10.run(arg0_1, buf2, buf3, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6352143Z     buf6 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6352332Z     buf7 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6352546Z     buf8 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6352764Z     triton_fused__to_copy_1_sub_1_log_2_sum_1_sum_2_sub_4__to_copy_2_log__to_copy_3_sub_21.run(arg0_1, arg1_1, buf2, buf3, buf6, buf7, buf8, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6352859Z     del arg0_1
2022-11-23T01:32:31.6352929Z     del arg1_1
2022-11-23T01:32:31.6353018Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:31.6353023Z 
2022-11-23T01:32:31.6353028Z 
2022-11-23T01:32:31.6353108Z if __name__ == "__main__":
2022-11-23T01:32:31.6353230Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6353358Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6353548Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6353743Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6353865Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6353870Z 
2022-11-23T01:32:31.6353942Z ok (0.546s)
2022-11-23T01:32:31.6354255Z   test_logsumexp_cuda (__main__.CudaTests) ... [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6354576Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6354798Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6355055Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6355331Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6355641Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6355982Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6356303Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6356673Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700> 
2022-11-23T01:32:31.6356778Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6356886Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:31.6356985Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6357128Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.6357223Z                8 CALL_METHOD              2
2022-11-23T01:32:31.6357317Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6357428Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:31.6357526Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6357620Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:31.6357716Z               18 CALL_METHOD              2
2022-11-23T01:32:31.6357808Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.6357893Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.6357981Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.6358059Z               26 RETURN_VALUE
2022-11-23T01:32:31.6358123Z  
2022-11-23T01:32:31.6358128Z 
2022-11-23T01:32:31.6358440Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701
2022-11-23T01:32:31.6358662Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6359060Z [2022-11-23 01:29:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6359405Z [2022-11-23 01:29:55,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6359755Z [2022-11-23 01:29:55,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6360145Z [2022-11-23 01:29:55,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6360392Z [2022-11-23 01:29:55,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6360783Z [2022-11-23 01:29:55,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6361133Z [2022-11-23 01:29:55,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6361509Z [2022-11-23 01:29:55,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6361925Z [2022-11-23 01:29:55,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6362190Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6362504Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6362774Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6363021Z [2022-11-23 01:29:55,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6363397Z [2022-11-23 01:29:55,322] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700>
2022-11-23T01:32:31.6363644Z [2022-11-23 01:29:55,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6363876Z [2022-11-23 01:29:55,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6364134Z [2022-11-23 01:29:55,323] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6364377Z [2022-11-23 01:29:55,331] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6364574Z [2022-11-23 01:29:55,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6364715Z  __compiled_fn_585 <eval_with_key>.3614 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6364810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6365058Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:31.6365304Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:31.6365493Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T01:32:31.6365613Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T01:32:31.6365618Z 
2022-11-23T01:32:31.6365962Z [2022-11-23 01:29:55,331] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6366081Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6366179Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6366273Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6366376Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6366467Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6366560Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6366642Z              12 RETURN_VALUE
2022-11-23T01:32:31.6366648Z 
2022-11-23T01:32:31.6366707Z  
2022-11-23T01:32:31.6367026Z [2022-11-23 01:29:55,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6367143Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_585)
2022-11-23T01:32:31.6367242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6367340Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6367423Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6367516Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6367620Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6367729Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6367825Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6367907Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6368019Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6368115Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6368195Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6368280Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6368360Z              26 RETURN_VALUE
2022-11-23T01:32:31.6368365Z 
2022-11-23T01:32:31.6368432Z  
2022-11-23T01:32:31.6368621Z [2022-11-23 01:29:55,332] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6368699Z  - 
2022-11-23T01:32:31.6368821Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6368892Z             {
2022-11-23T01:32:31.6369037Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6369220Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6369343Z                 'obj_weakref': None
2022-11-23T01:32:31.6369568Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6369637Z             }
2022-11-23T01:32:31.6369706Z             
2022-11-23T01:32:31.6369781Z  - 
2022-11-23T01:32:31.6369908Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6369970Z             {
2022-11-23T01:32:31.6370117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6370228Z                 'code': None,
2022-11-23T01:32:31.6370437Z                 'obj_weakref': <weakref at 0x7f207282b6a0; to 'Tensor' at 0x7f21159c82c0>
2022-11-23T01:32:31.6370691Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6370762Z             }
2022-11-23T01:32:31.6370831Z             
2022-11-23T01:32:31.6370900Z  - 
2022-11-23T01:32:31.6371031Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6371100Z             {
2022-11-23T01:32:31.6371238Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6371410Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6371532Z                 'obj_weakref': None
2022-11-23T01:32:31.6371762Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6371824Z             }
2022-11-23T01:32:31.6371896Z             
2022-11-23T01:32:31.6371972Z  - 
2022-11-23T01:32:31.6372098Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6372164Z             {
2022-11-23T01:32:31.6372304Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6372547Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6372690Z                 'obj_weakref': None
2022-11-23T01:32:31.6372911Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6372977Z             }
2022-11-23T01:32:31.6373045Z             
2022-11-23T01:32:31.6373118Z  - 
2022-11-23T01:32:31.6373253Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6373315Z             {
2022-11-23T01:32:31.6373437Z                 'guard_types': None,
2022-11-23T01:32:31.6373547Z                 'code': None,
2022-11-23T01:32:31.6373668Z                 'obj_weakref': None
2022-11-23T01:32:31.6373791Z                 'guarded_class': None
2022-11-23T01:32:31.6373860Z             }
2022-11-23T01:32:31.6373928Z             
2022-11-23T01:32:31.6374180Z [2022-11-23 01:29:55,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 568
2022-11-23T01:32:31.6374937Z [2022-11-23 01:29:55,375] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.6375151Z [2022-11-23 01:29:55,377] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.6375894Z [2022-11-23 01:29:55,378] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.6376111Z [2022-11-23 01:29:55,380] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:31.6376475Z [2022-11-23 01:29:55,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mc/cmcxl6fmt3zzlq64xcsuxpyjagpn77i34uatf6miqh4bvlmd3fqe.py
2022-11-23T01:32:31.6376739Z [2022-11-23 01:29:55,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 568
2022-11-23T01:32:31.6376978Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6377290Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6377513Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6377766Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6378043Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6378355Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6378701Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6379140Z [2022-11-23 01:29:55,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6379520Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700> 
2022-11-23T01:32:31.6379624Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6379732Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:31.6379873Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6380043Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.6380140Z                8 CALL_METHOD              2
2022-11-23T01:32:31.6380233Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6380339Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:31.6380436Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6380527Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:31.6380620Z               18 CALL_METHOD              2
2022-11-23T01:32:31.6380714Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.6380801Z               22 BINARY_SUBTRACT
2022-11-23T01:32:31.6380888Z               24 BUILD_TUPLE              2
2022-11-23T01:32:31.6380967Z               26 RETURN_VALUE
2022-11-23T01:32:31.6381035Z  
2022-11-23T01:32:31.6381040Z 
2022-11-23T01:32:31.6381360Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701
2022-11-23T01:32:31.6381586Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6381959Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6382286Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6382638Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6383027Z [2022-11-23 01:29:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6383280Z [2022-11-23 01:29:55,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6383670Z [2022-11-23 01:29:55,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6384018Z [2022-11-23 01:29:55,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6384390Z [2022-11-23 01:29:55,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6384808Z [2022-11-23 01:29:55,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6385075Z [2022-11-23 01:29:55,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6385385Z [2022-11-23 01:29:55,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6385656Z [2022-11-23 01:29:55,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6385902Z [2022-11-23 01:29:55,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6386277Z [2022-11-23 01:29:55,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700>
2022-11-23T01:32:31.6386559Z [2022-11-23 01:29:55,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6386820Z [2022-11-23 01:29:55,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6387080Z [2022-11-23 01:29:55,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6387327Z [2022-11-23 01:29:55,652] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6387518Z [2022-11-23 01:29:55,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6387663Z  __compiled_fn_586 <eval_with_key>.3620 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6387758Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6388009Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:31.6388261Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:31.6388452Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T01:32:31.6388572Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T01:32:31.6388577Z 
2022-11-23T01:32:31.6388900Z [2022-11-23 01:29:55,652] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6389001Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6389100Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6389191Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6389289Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6389381Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6389474Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6389557Z              12 RETURN_VALUE
2022-11-23T01:32:31.6389562Z 
2022-11-23T01:32:31.6389621Z  
2022-11-23T01:32:31.6389948Z [2022-11-23 01:29:55,652] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6390069Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_586)
2022-11-23T01:32:31.6390166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6390323Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6390424Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6390518Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6390623Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6390732Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6390827Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6390915Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6391026Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6391121Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6391207Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6391300Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6391377Z              26 RETURN_VALUE
2022-11-23T01:32:31.6391382Z 
2022-11-23T01:32:31.6391448Z  
2022-11-23T01:32:31.6391641Z [2022-11-23 01:29:55,653] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6391717Z  - 
2022-11-23T01:32:31.6391844Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6391914Z             {
2022-11-23T01:32:31.6392061Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6392248Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6392372Z                 'obj_weakref': None
2022-11-23T01:32:31.6392599Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6392669Z             }
2022-11-23T01:32:31.6392736Z             
2022-11-23T01:32:31.6392810Z  - 
2022-11-23T01:32:31.6392938Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6393034Z             {
2022-11-23T01:32:31.6393182Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6393315Z                 'code': None,
2022-11-23T01:32:31.6393529Z                 'obj_weakref': <weakref at 0x7f1ff81473d0; to 'Tensor' at 0x7f207282ae80>
2022-11-23T01:32:31.6393782Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6393853Z             }
2022-11-23T01:32:31.6393923Z             
2022-11-23T01:32:31.6393992Z  - 
2022-11-23T01:32:31.6394130Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6394200Z             {
2022-11-23T01:32:31.6394343Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6394519Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6394643Z                 'obj_weakref': None
2022-11-23T01:32:31.6394875Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6394939Z             }
2022-11-23T01:32:31.6395012Z             
2022-11-23T01:32:31.6395087Z  - 
2022-11-23T01:32:31.6395212Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6395281Z             {
2022-11-23T01:32:31.6395422Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6395640Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6395757Z                 'obj_weakref': None
2022-11-23T01:32:31.6395984Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6396054Z             }
2022-11-23T01:32:31.6396122Z             
2022-11-23T01:32:31.6396198Z  - 
2022-11-23T01:32:31.6396338Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6396408Z             {
2022-11-23T01:32:31.6396527Z                 'guard_types': None,
2022-11-23T01:32:31.6396637Z                 'code': None,
2022-11-23T01:32:31.6396760Z                 'obj_weakref': None
2022-11-23T01:32:31.6396887Z                 'guarded_class': None
2022-11-23T01:32:31.6396960Z             }
2022-11-23T01:32:31.6397029Z             
2022-11-23T01:32:31.6397281Z [2022-11-23 01:29:55,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 569
2022-11-23T01:32:31.6398050Z [2022-11-23 01:29:55,702] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.6398263Z [2022-11-23 01:29:55,704] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.6398469Z [2022-11-23 01:29:55,704] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.6399212Z [2022-11-23 01:29:55,705] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.6399427Z [2022-11-23 01:29:55,707] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:31.6399630Z [2022-11-23 01:29:55,707] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:31.6399635Z 
2022-11-23T01:32:31.6399734Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6399809Z import torch
2022-11-23T01:32:31.6399886Z import random
2022-11-23T01:32:31.6400006Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6400126Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6400132Z 
2022-11-23T01:32:31.6400215Z aten = torch.ops.aten
2022-11-23T01:32:31.6400388Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6400508Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6400513Z 
2022-11-23T01:32:31.6400589Z import triton
2022-11-23T01:32:31.6400683Z import triton.language as tl
2022-11-23T01:32:31.6400807Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6400944Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6400957Z 
2022-11-23T01:32:31.6400961Z 
2022-11-23T01:32:31.6401205Z triton_fused_lift_fresh_copy_exp_eq_abs_1_where_amax_sum_1_squeeze_sub_add0 = async_compile.triton('''
2022-11-23T01:32:31.6401281Z import triton
2022-11-23T01:32:31.6401375Z import triton.language as tl
2022-11-23T01:32:31.6401489Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6401593Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6401726Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6401857Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6401863Z 
2022-11-23T01:32:31.6401948Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6402066Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.6402153Z               filename=__file__,
2022-11-23T01:32:31.6402480Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6402554Z @triton.jit
2022-11-23T01:32:31.6402731Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6402805Z     xnumel = 8
2022-11-23T01:32:31.6402878Z     rnumel = 8
2022-11-23T01:32:31.6402971Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6403114Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6403200Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6403323Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6403395Z     x0 = xindex
2022-11-23T01:32:31.6403583Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6403691Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6403774Z         rindex = roffset + rbase
2022-11-23T01:32:31.6403860Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6403934Z         r1 = rindex
2022-11-23T01:32:31.6404149Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6404283Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:31.6404400Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6404519Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6404619Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6404709Z         rindex = roffset + rbase
2022-11-23T01:32:31.6404797Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6404872Z         r1 = rindex
2022-11-23T01:32:31.6405093Z         tmp2 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6405210Z         tmp3 = tmp2 - tmp1
2022-11-23T01:32:31.6405295Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:31.6405412Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:31.6405528Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6405611Z     tmp6 = tl.log(tmp5)
2022-11-23T01:32:31.6405692Z     tmp7 = tl.abs(tmp1)
2022-11-23T01:32:31.6405772Z     tmp8 = float("inf")
2022-11-23T01:32:31.6405852Z     tmp9 = tmp7 == tmp8
2022-11-23T01:32:31.6405925Z     tmp10 = 0.0
2022-11-23T01:32:31.6406016Z     tmp11 = tl.where(tmp9, tmp10, tmp1)
2022-11-23T01:32:31.6406099Z     tmp12 = tmp6 + tmp11
2022-11-23T01:32:31.6406243Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.6406329Z ''')
2022-11-23T01:32:31.6406334Z 
2022-11-23T01:32:31.6406339Z 
2022-11-23T01:32:31.6406634Z triton_fused_log_1_exp_1_add_1_where_1_eq_1_lift_fresh_copy_1_sub_1_amax_1_sub_2_sum_21 = async_compile.triton('''
2022-11-23T01:32:31.6406731Z import triton
2022-11-23T01:32:31.6406826Z import triton.language as tl
2022-11-23T01:32:31.6406942Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6407038Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6407173Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6407305Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6407310Z 
2022-11-23T01:32:31.6407399Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6407520Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:31.6407606Z               filename=__file__,
2022-11-23T01:32:31.6407934Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6408007Z @triton.jit
2022-11-23T01:32:31.6408175Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6408252Z     xnumel = 8
2022-11-23T01:32:31.6408325Z     rnumel = 8
2022-11-23T01:32:31.6408426Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6408564Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6408650Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6408776Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6408841Z     x0 = xindex
2022-11-23T01:32:31.6409026Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6409133Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6409224Z         rindex = roffset + rbase
2022-11-23T01:32:31.6409311Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6409385Z         r1 = rindex
2022-11-23T01:32:31.6409601Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6409729Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:31.6409846Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6409963Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6410069Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6410159Z         rindex = roffset + rbase
2022-11-23T01:32:31.6410246Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6410319Z         r1 = rindex
2022-11-23T01:32:31.6410529Z         tmp2 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.6410641Z         tmp3 = tmp2 - tmp1
2022-11-23T01:32:31.6410727Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:31.6410852Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:31.6410965Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6411050Z     tmp6 = tl.log(tmp5)
2022-11-23T01:32:31.6411131Z     tmp7 = tl.abs(tmp1)
2022-11-23T01:32:31.6411208Z     tmp8 = float("inf")
2022-11-23T01:32:31.6411290Z     tmp9 = tmp7 == tmp8
2022-11-23T01:32:31.6411362Z     tmp10 = 0.0
2022-11-23T01:32:31.6411460Z     tmp11 = tl.where(tmp9, tmp10, tmp1)
2022-11-23T01:32:31.6411543Z     tmp12 = tmp6 + tmp11
2022-11-23T01:32:31.6411615Z     tmp13 = 2
2022-11-23T01:32:31.6411731Z     tmp14 = tmp12 - tmp13
2022-11-23T01:32:31.6411867Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.6411953Z ''')
2022-11-23T01:32:31.6411958Z 
2022-11-23T01:32:31.6411963Z 
2022-11-23T01:32:31.6412057Z async_compile.wait(globals())
2022-11-23T01:32:31.6412134Z del async_compile
2022-11-23T01:32:31.6412139Z 
2022-11-23T01:32:31.6412214Z def call(args):
2022-11-23T01:32:31.6412288Z     arg0_1, = args
2022-11-23T01:32:31.6412365Z     args.clear()
2022-11-23T01:32:31.6412558Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6412650Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:32:31.6412779Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6413004Z     triton_fused_lift_fresh_copy_exp_eq_abs_1_where_amax_sum_1_squeeze_sub_add0.run(buf4, arg0_1, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6413200Z     buf3 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6413291Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:31.6413492Z     triton_fused_log_1_exp_1_add_1_where_1_eq_1_lift_fresh_copy_1_sub_1_amax_1_sub_2_sum_21.run(buf5, arg0_1, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6413566Z     del arg0_1
2022-11-23T01:32:31.6413642Z     return (buf4, buf5, )
2022-11-23T01:32:31.6413647Z 
2022-11-23T01:32:31.6413658Z 
2022-11-23T01:32:31.6413733Z if __name__ == "__main__":
2022-11-23T01:32:31.6413851Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6413980Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6414182Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6414296Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6414305Z 
2022-11-23T01:32:31.6414669Z [2022-11-23 01:29:55,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xy/cxydfqaxne4gpgtveecs4krtcc6mfei56hsy4fhbhcrejl7rzgpp.py
2022-11-23T01:32:31.6414936Z [2022-11-23 01:29:55,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 569
2022-11-23T01:32:31.6414942Z 
2022-11-23T01:32:31.6415041Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6415108Z import torch
2022-11-23T01:32:31.6415185Z import random
2022-11-23T01:32:31.6415305Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6415430Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6415435Z 
2022-11-23T01:32:31.6415517Z aten = torch.ops.aten
2022-11-23T01:32:31.6415658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6415761Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6415766Z 
2022-11-23T01:32:31.6415838Z import triton
2022-11-23T01:32:31.6415929Z import triton.language as tl
2022-11-23T01:32:31.6416056Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6416200Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6416206Z 
2022-11-23T01:32:31.6416210Z 
2022-11-23T01:32:31.6416463Z triton_fused_exp_sub_amax_abs_1_where_eq__to_copy_1_sum_1_lift_fresh_copy_add0 = async_compile.triton('''
2022-11-23T01:32:31.6416538Z import triton
2022-11-23T01:32:31.6416633Z import triton.language as tl
2022-11-23T01:32:31.6416748Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6416844Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6416978Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6417106Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6417111Z 
2022-11-23T01:32:31.6417201Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6417318Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.6417407Z               filename=__file__,
2022-11-23T01:32:31.6417727Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6417801Z @triton.jit
2022-11-23T01:32:31.6417966Z def kernel(in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6418038Z     xnumel = 8
2022-11-23T01:32:31.6418110Z     rnumel = 8
2022-11-23T01:32:31.6418209Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6418347Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6418432Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6418552Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6418618Z     x0 = xindex
2022-11-23T01:32:31.6419054Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6419166Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6419292Z         rindex = roffset + rbase
2022-11-23T01:32:31.6419380Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6419451Z         r1 = rindex
2022-11-23T01:32:31.6419700Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6419787Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.6419916Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:31.6420031Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6420148Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6420254Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6420342Z         rindex = roffset + rbase
2022-11-23T01:32:31.6420429Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6420495Z         r1 = rindex
2022-11-23T01:32:31.6420742Z         tmp3 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6420838Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.6420952Z         tmp5 = tmp4 - tmp2
2022-11-23T01:32:31.6421037Z         tmp6 = tl.exp(tmp5)
2022-11-23T01:32:31.6421159Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.6421276Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6421349Z     tmp8 = tl.log(tmp7)
2022-11-23T01:32:31.6421430Z     tmp9 = tl.abs(tmp2)
2022-11-23T01:32:31.6421510Z     tmp10 = float("inf")
2022-11-23T01:32:31.6421592Z     tmp11 = tmp9 == tmp10
2022-11-23T01:32:31.6421669Z     tmp12 = 0.0
2022-11-23T01:32:31.6421770Z     tmp13 = tl.where(tmp11, tmp12, tmp2)
2022-11-23T01:32:31.6421851Z     tmp14 = tmp8 + tmp13
2022-11-23T01:32:31.6421934Z     tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:31.6422076Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.6422166Z ''')
2022-11-23T01:32:31.6422172Z 
2022-11-23T01:32:31.6422180Z 
2022-11-23T01:32:31.6422449Z triton_fused_where_1_sub_2_exp_1__to_copy_2_sum_2_abs_2_add_1_squeeze_1__to_copy_3_log_11 = async_compile.triton('''
2022-11-23T01:32:31.6422526Z import triton
2022-11-23T01:32:31.6422620Z import triton.language as tl
2022-11-23T01:32:31.6422737Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6422842Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6422969Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.6423098Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6423103Z 
2022-11-23T01:32:31.6423191Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.6423311Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:31.6423395Z               filename=__file__,
2022-11-23T01:32:31.6423729Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.6423806Z @triton.jit
2022-11-23T01:32:31.6423980Z def kernel(in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.6424048Z     xnumel = 8
2022-11-23T01:32:31.6424119Z     rnumel = 8
2022-11-23T01:32:31.6424218Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6424356Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.6424440Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6424560Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.6424632Z     x0 = xindex
2022-11-23T01:32:31.6424808Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.6424914Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6425003Z         rindex = roffset + rbase
2022-11-23T01:32:31.6425091Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6425164Z         r1 = rindex
2022-11-23T01:32:31.6425433Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6425549Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.6425672Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:31.6425790Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6425911Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.6426018Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.6426103Z         rindex = roffset + rbase
2022-11-23T01:32:31.6426188Z         rmask = rindex < rnumel
2022-11-23T01:32:31.6426261Z         r1 = rindex
2022-11-23T01:32:31.6426490Z         tmp3 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.6426580Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.6426696Z         tmp5 = tmp4 - tmp2
2022-11-23T01:32:31.6426780Z         tmp6 = tl.exp(tmp5)
2022-11-23T01:32:31.6426906Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:31.6427023Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.6427102Z     tmp8 = tl.log(tmp7)
2022-11-23T01:32:31.6427176Z     tmp9 = tl.abs(tmp2)
2022-11-23T01:32:31.6427258Z     tmp10 = float("inf")
2022-11-23T01:32:31.6427338Z     tmp11 = tmp9 == tmp10
2022-11-23T01:32:31.6427411Z     tmp12 = 0.0
2022-11-23T01:32:31.6427513Z     tmp13 = tl.where(tmp11, tmp12, tmp2)
2022-11-23T01:32:31.6427593Z     tmp14 = tmp8 + tmp13
2022-11-23T01:32:31.6427683Z     tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:31.6427747Z     tmp16 = 2
2022-11-23T01:32:31.6427860Z     tmp17 = tmp15 - tmp16
2022-11-23T01:32:31.6428000Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.6428083Z ''')
2022-11-23T01:32:31.6428089Z 
2022-11-23T01:32:31.6428094Z 
2022-11-23T01:32:31.6428186Z async_compile.wait(globals())
2022-11-23T01:32:31.6428262Z del async_compile
2022-11-23T01:32:31.6428268Z 
2022-11-23T01:32:31.6428343Z def call(args):
2022-11-23T01:32:31.6428413Z     arg0_1, = args
2022-11-23T01:32:31.6428491Z     args.clear()
2022-11-23T01:32:31.6428686Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6428776Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6428975Z     triton_fused_exp_sub_amax_abs_1_where_eq__to_copy_1_sum_1_lift_fresh_copy_add0.run(arg0_1, buf4, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6429169Z     buf5 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6429368Z     triton_fused_where_1_sub_2_exp_1__to_copy_2_sum_2_abs_2_add_1_squeeze_1__to_copy_3_log_11.run(arg0_1, buf5, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6429441Z     del arg0_1
2022-11-23T01:32:31.6429516Z     return (buf4, buf5, )
2022-11-23T01:32:31.6429521Z 
2022-11-23T01:32:31.6429531Z 
2022-11-23T01:32:31.6429605Z if __name__ == "__main__":
2022-11-23T01:32:31.6429725Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6429853Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6430054Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6430168Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6430173Z 
2022-11-23T01:32:31.6430319Z ok (0.493s)
2022-11-23T01:32:31.6430682Z   test_long_tensor_cuda (__main__.CudaTests) ... [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6431001Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6431214Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6431468Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6431778Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6432115Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6432459Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6432779Z [2022-11-23 01:29:55,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6433151Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107> 
2022-11-23T01:32:31.6433255Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6433367Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T01:32:31.6433460Z                4 LOAD_CONST               1 (294)
2022-11-23T01:32:31.6433556Z                6 BUILD_LIST               1
2022-11-23T01:32:31.6433649Z                8 CALL_METHOD              1
2022-11-23T01:32:31.6433746Z               10 LOAD_METHOD              2 (to)
2022-11-23T01:32:31.6433844Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6433945Z               14 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.6434036Z               16 CALL_METHOD              1
2022-11-23T01:32:31.6434131Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6434210Z               20 BINARY_SUBTRACT
2022-11-23T01:32:31.6434215Z 
2022-11-23T01:32:31.6434315Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6434419Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T01:32:31.6434516Z               26 LOAD_CONST               2 (295)
2022-11-23T01:32:31.6434616Z               28 BUILD_LIST               1
2022-11-23T01:32:31.6434709Z               30 CALL_METHOD              1
2022-11-23T01:32:31.6434805Z               32 LOAD_METHOD              2 (to)
2022-11-23T01:32:31.6434894Z               34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6434994Z               36 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.6435086Z               38 CALL_METHOD              1
2022-11-23T01:32:31.6435180Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6435257Z               42 BINARY_ADD
2022-11-23T01:32:31.6435263Z 
2022-11-23T01:32:31.6435355Z 3108          44 BUILD_TUPLE              2
2022-11-23T01:32:31.6435435Z               46 RETURN_VALUE
2022-11-23T01:32:31.6435494Z  
2022-11-23T01:32:31.6435506Z 
2022-11-23T01:32:31.6435813Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109
2022-11-23T01:32:31.6436036Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6436407Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6436689Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T01:32:31.6437002Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T01:32:31.6437304Z [2022-11-23 01:29:55,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T01:32:31.6437543Z [2022-11-23 01:29:55,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:31.6437844Z [2022-11-23 01:29:55,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:31.6438200Z [2022-11-23 01:29:55,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:31.6438508Z [2022-11-23 01:29:55,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6438738Z [2022-11-23 01:29:55,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.6439018Z [2022-11-23 01:29:55,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6439330Z [2022-11-23 01:29:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110
2022-11-23T01:32:31.6439578Z [2022-11-23 01:29:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6439972Z [2022-11-23 01:29:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6440328Z [2022-11-23 01:29:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6440708Z [2022-11-23 01:29:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.6441087Z [2022-11-23 01:29:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:31.6441359Z [2022-11-23 01:29:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6441666Z [2022-11-23 01:29:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:31.6442001Z [2022-11-23 01:29:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:31.6442342Z [2022-11-23 01:29:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6442606Z [2022-11-23 01:29:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6442908Z [2022-11-23 01:29:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6443227Z [2022-11-23 01:29:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108
2022-11-23T01:32:31.6443504Z [2022-11-23 01:29:55,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6443757Z [2022-11-23 01:29:55,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6444135Z [2022-11-23 01:29:55,813] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107>
2022-11-23T01:32:31.6444387Z [2022-11-23 01:29:55,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6444627Z [2022-11-23 01:29:55,813] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6444888Z [2022-11-23 01:29:55,814] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6445169Z [2022-11-23 01:29:55,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6445380Z [2022-11-23 01:29:55,819] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6445524Z  __compiled_fn_587 <eval_with_key>.3626 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6445618Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6445822Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T01:32:31.6446011Z call_method, to, to, (long_tensor, device(type='cuda', index=0)), {}
2022-11-23T01:32:31.6446192Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T01:32:31.6446434Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([295],), {}
2022-11-23T01:32:31.6446628Z call_method, to_1, to, (as_tensor, device(type='cuda', index=0)), {}
2022-11-23T01:32:31.6446802Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T01:32:31.6446911Z output, output, output, ((sub, add),), {}
2022-11-23T01:32:31.6446919Z 
2022-11-23T01:32:31.6447252Z [2022-11-23 01:29:55,819] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6447354Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6447451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6447546Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6447647Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6447739Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6447825Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6447907Z              12 RETURN_VALUE
2022-11-23T01:32:31.6447913Z 
2022-11-23T01:32:31.6447981Z  
2022-11-23T01:32:31.6448310Z [2022-11-23 01:29:55,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6448431Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_587)
2022-11-23T01:32:31.6448532Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6448629Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6448706Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6448800Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6448912Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6449020Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6449120Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6449202Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6449308Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6449395Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6449481Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6449579Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6449664Z              26 RETURN_VALUE
2022-11-23T01:32:31.6449670Z 
2022-11-23T01:32:31.6449736Z  
2022-11-23T01:32:31.6449924Z [2022-11-23 01:29:55,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6450000Z  - 
2022-11-23T01:32:31.6450117Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6450186Z             {
2022-11-23T01:32:31.6450333Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6450526Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6450649Z                 'obj_weakref': None
2022-11-23T01:32:31.6450873Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6450943Z             }
2022-11-23T01:32:31.6451012Z             
2022-11-23T01:32:31.6451081Z  - 
2022-11-23T01:32:31.6451210Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.6451280Z             {
2022-11-23T01:32:31.6451425Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.6451626Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.6451861Z                 'obj_weakref': <weakref at 0x7f20233b30b0; to 'Tensor' at 0x7f2115b4d8f0>
2022-11-23T01:32:31.6452115Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6452178Z             }
2022-11-23T01:32:31.6452246Z             
2022-11-23T01:32:31.6452323Z  - 
2022-11-23T01:32:31.6452452Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6452521Z             {
2022-11-23T01:32:31.6452669Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6452783Z                 'code': None,
2022-11-23T01:32:31.6452988Z                 'obj_weakref': <weakref at 0x7f20233b30b0; to 'Tensor' at 0x7f2115b4d8f0>
2022-11-23T01:32:31.6453242Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6453313Z             }
2022-11-23T01:32:31.6453384Z             
2022-11-23T01:32:31.6453461Z  - 
2022-11-23T01:32:31.6453596Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6453664Z             {
2022-11-23T01:32:31.6453798Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6453974Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6454099Z                 'obj_weakref': None
2022-11-23T01:32:31.6454333Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6454400Z             }
2022-11-23T01:32:31.6454469Z             
2022-11-23T01:32:31.6454545Z  - 
2022-11-23T01:32:31.6454665Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6454733Z             {
2022-11-23T01:32:31.6454877Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6455098Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6455225Z                 'obj_weakref': None
2022-11-23T01:32:31.6455454Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6455531Z             }
2022-11-23T01:32:31.6455592Z             
2022-11-23T01:32:31.6455666Z  - 
2022-11-23T01:32:31.6455806Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6455874Z             {
2022-11-23T01:32:31.6455999Z                 'guard_types': None,
2022-11-23T01:32:31.6456112Z                 'code': None,
2022-11-23T01:32:31.6456228Z                 'obj_weakref': None
2022-11-23T01:32:31.6456355Z                 'guarded_class': None
2022-11-23T01:32:31.6456423Z             }
2022-11-23T01:32:31.6456492Z             
2022-11-23T01:32:31.6456757Z [2022-11-23 01:29:55,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 570
2022-11-23T01:32:31.6457055Z [2022-11-23 01:29:55,837] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6457423Z [2022-11-23 01:29:55,900] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cw/ccwh76xmazbcn7kmmld2rjzs3n5xds6yjxm3qerpwxs5kp46t2yz.py
2022-11-23T01:32:31.6457695Z [2022-11-23 01:29:55,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 570
2022-11-23T01:32:31.6457937Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6458249Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6458473Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6458729Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6459184Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6459516Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6459891Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6460213Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6460590Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107> 
2022-11-23T01:32:31.6460696Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6460807Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T01:32:31.6460902Z                4 LOAD_CONST               1 (294)
2022-11-23T01:32:31.6461002Z                6 BUILD_LIST               1
2022-11-23T01:32:31.6461097Z                8 CALL_METHOD              1
2022-11-23T01:32:31.6461193Z               10 LOAD_METHOD              2 (to)
2022-11-23T01:32:31.6461292Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6461393Z               14 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.6461485Z               16 CALL_METHOD              1
2022-11-23T01:32:31.6461574Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6461658Z               20 BINARY_SUBTRACT
2022-11-23T01:32:31.6461664Z 
2022-11-23T01:32:31.6461766Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6461869Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T01:32:31.6461966Z               26 LOAD_CONST               2 (295)
2022-11-23T01:32:31.6462058Z               28 BUILD_LIST               1
2022-11-23T01:32:31.6462154Z               30 CALL_METHOD              1
2022-11-23T01:32:31.6462245Z               32 LOAD_METHOD              2 (to)
2022-11-23T01:32:31.6462346Z               34 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6462445Z               36 LOAD_ATTR                3 (device)
2022-11-23T01:32:31.6462535Z               38 CALL_METHOD              1
2022-11-23T01:32:31.6462630Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6462709Z               42 BINARY_ADD
2022-11-23T01:32:31.6462715Z 
2022-11-23T01:32:31.6462810Z 3108          44 BUILD_TUPLE              2
2022-11-23T01:32:31.6462890Z               46 RETURN_VALUE
2022-11-23T01:32:31.6462950Z  
2022-11-23T01:32:31.6462955Z 
2022-11-23T01:32:31.6463272Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109
2022-11-23T01:32:31.6463499Z [2022-11-23 01:29:55,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6463880Z [2022-11-23 01:29:55,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6464171Z [2022-11-23 01:29:55,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T01:32:31.6464488Z [2022-11-23 01:29:55,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T01:32:31.6464799Z [2022-11-23 01:29:55,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T01:32:31.6465043Z [2022-11-23 01:29:55,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:31.6465322Z [2022-11-23 01:29:55,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:31.6465659Z [2022-11-23 01:29:55,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:31.6465996Z [2022-11-23 01:29:55,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6466242Z [2022-11-23 01:29:55,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.6466531Z [2022-11-23 01:29:55,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6466846Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110
2022-11-23T01:32:31.6467097Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6467502Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6467862Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6468255Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.6468632Z [2022-11-23 01:29:55,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:31.6468902Z [2022-11-23 01:29:55,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6469208Z [2022-11-23 01:29:55,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:31.6469538Z [2022-11-23 01:29:55,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:31.6469877Z [2022-11-23 01:29:55,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cuda:0)]
2022-11-23T01:32:31.6470146Z [2022-11-23 01:29:55,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6470537Z [2022-11-23 01:29:55,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6470854Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108
2022-11-23T01:32:31.6471128Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6471381Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6471762Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107>
2022-11-23T01:32:31.6472014Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6472254Z [2022-11-23 01:29:55,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6472514Z [2022-11-23 01:29:55,912] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6472792Z [2022-11-23 01:29:55,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6473010Z [2022-11-23 01:29:55,916] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6473151Z  __compiled_fn_588 <eval_with_key>.3632 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6473246Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6473443Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T01:32:31.6473633Z call_method, to, to, (long_tensor, device(type='cuda', index=0)), {}
2022-11-23T01:32:31.6473811Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T01:32:31.6474058Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([295],), {}
2022-11-23T01:32:31.6474242Z call_method, to_1, to, (as_tensor, device(type='cuda', index=0)), {}
2022-11-23T01:32:31.6474425Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T01:32:31.6474530Z output, output, output, ((sub, add),), {}
2022-11-23T01:32:31.6474536Z 
2022-11-23T01:32:31.6474871Z [2022-11-23 01:29:55,916] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6474974Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6475071Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6475165Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6475265Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6475350Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6475444Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6475527Z              12 RETURN_VALUE
2022-11-23T01:32:31.6475532Z 
2022-11-23T01:32:31.6475599Z  
2022-11-23T01:32:31.6475924Z [2022-11-23 01:29:55,917] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6476044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_588)
2022-11-23T01:32:31.6476145Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6476242Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6476325Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6476418Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6476530Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6476640Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6476737Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6476818Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6476927Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6477016Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6477095Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6477190Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6477270Z              26 RETURN_VALUE
2022-11-23T01:32:31.6477276Z 
2022-11-23T01:32:31.6477345Z  
2022-11-23T01:32:31.6477537Z [2022-11-23 01:29:55,917] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6477615Z  - 
2022-11-23T01:32:31.6477735Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6477803Z             {
2022-11-23T01:32:31.6477953Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6478151Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6478276Z                 'obj_weakref': None
2022-11-23T01:32:31.6478503Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6478575Z             }
2022-11-23T01:32:31.6478637Z             
2022-11-23T01:32:31.6478714Z  - 
2022-11-23T01:32:31.6478840Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.6478911Z             {
2022-11-23T01:32:31.6479053Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.6479224Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.6479464Z                 'obj_weakref': <weakref at 0x7f20233b30b0; to 'Tensor' at 0x7f2115b4d8f0>
2022-11-23T01:32:31.6479726Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6479801Z             }
2022-11-23T01:32:31.6479870Z             
2022-11-23T01:32:31.6479946Z  - 
2022-11-23T01:32:31.6480075Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6480146Z             {
2022-11-23T01:32:31.6480294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6480398Z                 'code': None,
2022-11-23T01:32:31.6480607Z                 'obj_weakref': <weakref at 0x7f20233b30b0; to 'Tensor' at 0x7f2115b4d8f0>
2022-11-23T01:32:31.6480859Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6480928Z             }
2022-11-23T01:32:31.6480997Z             
2022-11-23T01:32:31.6481071Z  - 
2022-11-23T01:32:31.6481210Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6481275Z             {
2022-11-23T01:32:31.6481417Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6481591Z                 'code': ['___check_obj_id(model, 139776003462128)'],
2022-11-23T01:32:31.6481716Z                 'obj_weakref': None
2022-11-23T01:32:31.6481943Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6482012Z             }
2022-11-23T01:32:31.6482078Z             
2022-11-23T01:32:31.6482146Z  - 
2022-11-23T01:32:31.6482272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6482342Z             {
2022-11-23T01:32:31.6482482Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6482698Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6482824Z                 'obj_weakref': None
2022-11-23T01:32:31.6483046Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6483111Z             }
2022-11-23T01:32:31.6483180Z             
2022-11-23T01:32:31.6483254Z  - 
2022-11-23T01:32:31.6483390Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6483458Z             {
2022-11-23T01:32:31.6483582Z                 'guard_types': None,
2022-11-23T01:32:31.6483693Z                 'code': None,
2022-11-23T01:32:31.6483807Z                 'obj_weakref': None
2022-11-23T01:32:31.6483931Z                 'guarded_class': None
2022-11-23T01:32:31.6483999Z             }
2022-11-23T01:32:31.6484067Z             
2022-11-23T01:32:31.6484330Z [2022-11-23 01:29:55,926] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 571
2022-11-23T01:32:31.6484623Z [2022-11-23 01:29:55,933] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6484991Z [2022-11-23 01:29:55,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hb/chbokqzxj7h5n47qcuvszldj36dl5kpujcbximpf2ijwzcws4dss.py
2022-11-23T01:32:31.6485260Z [2022-11-23 01:29:55,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 571
2022-11-23T01:32:31.6485266Z 
2022-11-23T01:32:31.6485359Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6485432Z import torch
2022-11-23T01:32:31.6485507Z import random
2022-11-23T01:32:31.6485629Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6485756Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6485762Z 
2022-11-23T01:32:31.6485845Z aten = torch.ops.aten
2022-11-23T01:32:31.6485984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6486076Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6486089Z 
2022-11-23T01:32:31.6486157Z import triton
2022-11-23T01:32:31.6486249Z import triton.language as tl
2022-11-23T01:32:31.6486379Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6486553Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6486578Z 
2022-11-23T01:32:31.6486583Z 
2022-11-23T01:32:31.6486835Z triton_fused__to_copy_1_add__to_copy_lift_fresh_copy_lift_fresh_copy_1_sub0 = async_compile.triton('''
2022-11-23T01:32:31.6486909Z import triton
2022-11-23T01:32:31.6487004Z import triton.language as tl
2022-11-23T01:32:31.6487114Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6487216Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6487351Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6487478Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6487484Z 
2022-11-23T01:32:31.6487865Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6487941Z @triton.jit
2022-11-23T01:32:31.6488092Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6488169Z     xnumel = 64
2022-11-23T01:32:31.6488261Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6488397Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6488483Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6488556Z     x0 = xindex
2022-11-23T01:32:31.6488657Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6488730Z     tmp0 = 294
2022-11-23T01:32:31.6488842Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.6488908Z     tmp3 = 295
2022-11-23T01:32:31.6488987Z     tmp4 = tmp3 + tmp1
2022-11-23T01:32:31.6489128Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6489264Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.6489350Z ''')
2022-11-23T01:32:31.6489355Z 
2022-11-23T01:32:31.6489360Z 
2022-11-23T01:32:31.6489455Z async_compile.wait(globals())
2022-11-23T01:32:31.6489533Z del async_compile
2022-11-23T01:32:31.6489541Z 
2022-11-23T01:32:31.6489618Z def call(args):
2022-11-23T01:32:31.6489686Z     arg0_1, = args
2022-11-23T01:32:31.6489762Z     args.clear()
2022-11-23T01:32:31.6489956Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6490151Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6490241Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6490444Z     triton_fused__to_copy_1_add__to_copy_lift_fresh_copy_lift_fresh_copy_1_sub0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.6490519Z     del arg0_1
2022-11-23T01:32:31.6490595Z     return (buf0, buf1, )
2022-11-23T01:32:31.6490600Z 
2022-11-23T01:32:31.6490612Z 
2022-11-23T01:32:31.6490686Z if __name__ == "__main__":
2022-11-23T01:32:31.6490805Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6490937Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6491130Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6491249Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6491254Z 
2022-11-23T01:32:31.6491258Z 
2022-11-23T01:32:31.6491356Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6491429Z import torch
2022-11-23T01:32:31.6491498Z import random
2022-11-23T01:32:31.6491618Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6491743Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6491748Z 
2022-11-23T01:32:31.6491832Z aten = torch.ops.aten
2022-11-23T01:32:31.6491972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6492069Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6492074Z 
2022-11-23T01:32:31.6492149Z import triton
2022-11-23T01:32:31.6492239Z import triton.language as tl
2022-11-23T01:32:31.6492360Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6492531Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6492555Z 
2022-11-23T01:32:31.6492560Z 
2022-11-23T01:32:31.6492814Z triton_fused__to_copy_1_add__to_copy_sub_lift_fresh_copy_1_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:31.6492891Z import triton
2022-11-23T01:32:31.6492983Z import triton.language as tl
2022-11-23T01:32:31.6493099Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6493206Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6493342Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6493463Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6493468Z 
2022-11-23T01:32:31.6493847Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6493921Z @triton.jit
2022-11-23T01:32:31.6494067Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6494144Z     xnumel = 64
2022-11-23T01:32:31.6494243Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6494378Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6494461Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6494527Z     x0 = xindex
2022-11-23T01:32:31.6494625Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6494698Z     tmp0 = 294
2022-11-23T01:32:31.6494809Z     tmp2 = tmp0 - tmp1
2022-11-23T01:32:31.6494882Z     tmp3 = 295
2022-11-23T01:32:31.6494960Z     tmp4 = tmp3 + tmp1
2022-11-23T01:32:31.6495090Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6495224Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.6495308Z ''')
2022-11-23T01:32:31.6495314Z 
2022-11-23T01:32:31.6495318Z 
2022-11-23T01:32:31.6495413Z async_compile.wait(globals())
2022-11-23T01:32:31.6495492Z del async_compile
2022-11-23T01:32:31.6495499Z 
2022-11-23T01:32:31.6495573Z def call(args):
2022-11-23T01:32:31.6495647Z     arg0_1, = args
2022-11-23T01:32:31.6495722Z     args.clear()
2022-11-23T01:32:31.6495908Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6496098Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6496190Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6496392Z     triton_fused__to_copy_1_add__to_copy_sub_lift_fresh_copy_1_lift_fresh_copy0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.6496466Z     del arg0_1
2022-11-23T01:32:31.6496549Z     return (buf0, buf1, )
2022-11-23T01:32:31.6496554Z 
2022-11-23T01:32:31.6496559Z 
2022-11-23T01:32:31.6496641Z if __name__ == "__main__":
2022-11-23T01:32:31.6496757Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6496881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6497078Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6497194Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6497200Z 
2022-11-23T01:32:31.6497270Z ok (0.138s)
2022-11-23T01:32:31.6497791Z   test_lowmem_dropout1_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.6497871Z   warnings.warn(
2022-11-23T01:32:31.6498115Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6498434Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:32:31.6498681Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.6499216Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6499510Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.6499833Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.6500191Z [2022-11-23 01:29:55,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6500503Z [2022-11-23 01:29:55,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.6500862Z [2022-11-23 01:29:55,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6501255Z [2022-11-23 01:29:55,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.6501505Z [2022-11-23 01:29:55,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6501744Z [2022-11-23 01:29:55,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6501987Z [2022-11-23 01:29:55,948] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.6502228Z [2022-11-23 01:29:55,950] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.6502418Z [2022-11-23 01:29:55,950] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6502565Z  __compiled_fn_589 <eval_with_key>.3638 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6502655Z placeholder, x, x, (), {}
2022-11-23T01:32:31.6502756Z placeholder, weight, weight, (), {}
2022-11-23T01:32:31.6502934Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:31.6503104Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (mul, 0.33, False), {}
2022-11-23T01:32:31.6503225Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.6503231Z 
2022-11-23T01:32:31.6503555Z [2022-11-23 01:29:55,950] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:31.6503648Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6503754Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:31.6503855Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6503959Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:31.6504048Z                8 BINARY_MULTIPLY
2022-11-23T01:32:31.6504147Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:31.6504243Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:31.6504331Z               14 CALL_METHOD              3
2022-11-23T01:32:31.6504412Z               16 RETURN_VALUE
2022-11-23T01:32:31.6504418Z 
2022-11-23T01:32:31.6504484Z  
2022-11-23T01:32:31.6504809Z [2022-11-23 01:29:55,951] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:31.6504924Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_589)
2022-11-23T01:32:31.6505019Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6505122Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:31.6505258Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.6505352Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6505458Z               10 RETURN_VALUE
2022-11-23T01:32:31.6505463Z 
2022-11-23T01:32:31.6505529Z  
2022-11-23T01:32:31.6505717Z [2022-11-23 01:29:55,951] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6505795Z  - 
2022-11-23T01:32:31.6505920Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.6505988Z             {
2022-11-23T01:32:31.6506128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6506241Z                 'code': None,
2022-11-23T01:32:31.6506458Z                 'obj_weakref': <weakref at 0x7f1fd9a013a0; to 'Tensor' at 0x7f1fead3d030>
2022-11-23T01:32:31.6506718Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6506788Z             }
2022-11-23T01:32:31.6506858Z             
2022-11-23T01:32:31.6506933Z  - 
2022-11-23T01:32:31.6507064Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:31.6507135Z             {
2022-11-23T01:32:31.6507278Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6507452Z                 'code': ['___check_obj_id(train, 94768292517568)'],
2022-11-23T01:32:31.6507577Z                 'obj_weakref': None
2022-11-23T01:32:31.6507803Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.6507870Z             }
2022-11-23T01:32:31.6507932Z             
2022-11-23T01:32:31.6508007Z  - 
2022-11-23T01:32:31.6508141Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:31.6508211Z             {
2022-11-23T01:32:31.6508357Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6508470Z                 'code': None,
2022-11-23T01:32:31.6508684Z                 'obj_weakref': <weakref at 0x7f1fe80f9e90; to 'Tensor' at 0x7f2060124fe0>
2022-11-23T01:32:31.6508928Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6508997Z             }
2022-11-23T01:32:31.6509067Z             
2022-11-23T01:32:31.6509143Z  - 
2022-11-23T01:32:31.6509273Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.6509342Z             {
2022-11-23T01:32:31.6509468Z                 'guard_types': None,
2022-11-23T01:32:31.6509573Z                 'code': None,
2022-11-23T01:32:31.6509697Z                 'obj_weakref': None
2022-11-23T01:32:31.6509824Z                 'guarded_class': None
2022-11-23T01:32:31.6509892Z             }
2022-11-23T01:32:31.6509960Z             
2022-11-23T01:32:31.6510219Z [2022-11-23 01:29:55,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 572
2022-11-23T01:32:31.6510546Z [2022-11-23 01:29:55,965] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6510913Z [2022-11-23 01:29:56,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hh/chhfpi7u4d6wnwveq325u43x7a3osjgs6lz4sqoabfde7ssnpfa5.py
2022-11-23T01:32:31.6511171Z [2022-11-23 01:29:56,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 572
2022-11-23T01:32:31.6511434Z [2022-11-23 01:29:56,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 572
2022-11-23T01:32:31.6511680Z [2022-11-23 01:29:56,034] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6512040Z [2022-11-23 01:29:56,040] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4m/c4mmhcnokyhrxsarmedjchn2ljetd2bjpvvafeqxbpr4e2s2tora.py
2022-11-23T01:32:31.6512306Z [2022-11-23 01:29:56,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 572
2022-11-23T01:32:31.6512543Z [2022-11-23 01:29:56,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6512891Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:32:31.6513139Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:31.6513543Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:31.6513831Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f2073d56680>)]
2022-11-23T01:32:31.6514146Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.6514503Z [2022-11-23 01:29:56,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6514821Z [2022-11-23 01:29:56,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable()]
2022-11-23T01:32:31.6515173Z [2022-11-23 01:29:56,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6515564Z [2022-11-23 01:29:56,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f2073d56680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:31.6515814Z [2022-11-23 01:29:56,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6516051Z [2022-11-23 01:29:56,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6516296Z [2022-11-23 01:29:56,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.6516546Z [2022-11-23 01:29:56,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.6516742Z [2022-11-23 01:29:56,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6516879Z  __compiled_fn_590 <eval_with_key>.3649 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6516967Z placeholder, x, x, (), {}
2022-11-23T01:32:31.6517070Z placeholder, weight, weight, (), {}
2022-11-23T01:32:31.6517248Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:31.6517415Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f206923ed40>, (mul, 0.33, True), {}
2022-11-23T01:32:31.6517532Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:31.6517537Z 
2022-11-23T01:32:31.6517865Z [2022-11-23 01:29:56,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:31.6517965Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:31.6518065Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:31.6518166Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6518268Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:31.6518354Z                8 BINARY_MULTIPLY
2022-11-23T01:32:31.6518455Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:31.6518553Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:31.6518646Z               14 CALL_METHOD              3
2022-11-23T01:32:31.6518727Z               16 RETURN_VALUE
2022-11-23T01:32:31.6518733Z 
2022-11-23T01:32:31.6518791Z  
2022-11-23T01:32:31.6519119Z [2022-11-23 01:29:56,052] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:31.6519233Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_590)
2022-11-23T01:32:31.6519327Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6519456Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:31.6519575Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.6519674Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6519749Z               10 RETURN_VALUE
2022-11-23T01:32:31.6519759Z 
2022-11-23T01:32:31.6519818Z  
2022-11-23T01:32:31.6520004Z [2022-11-23 01:29:56,052] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6520079Z  - 
2022-11-23T01:32:31.6520203Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.6520273Z             {
2022-11-23T01:32:31.6520422Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6520526Z                 'code': None,
2022-11-23T01:32:31.6520741Z                 'obj_weakref': <weakref at 0x7f1fd9a013a0; to 'Tensor' at 0x7f1fead3d030>
2022-11-23T01:32:31.6520991Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6521061Z             }
2022-11-23T01:32:31.6521132Z             
2022-11-23T01:32:31.6521212Z  - 
2022-11-23T01:32:31.6521346Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:31.6521408Z             {
2022-11-23T01:32:31.6521547Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6521719Z                 'code': ['___check_obj_id(train, 94768292517600)'],
2022-11-23T01:32:31.6521848Z                 'obj_weakref': None
2022-11-23T01:32:31.6522070Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:31.6522137Z             }
2022-11-23T01:32:31.6522205Z             
2022-11-23T01:32:31.6522274Z  - 
2022-11-23T01:32:31.6522409Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:31.6522477Z             {
2022-11-23T01:32:31.6522625Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6522737Z                 'code': None,
2022-11-23T01:32:31.6522953Z                 'obj_weakref': <weakref at 0x7f1fe80f9e90; to 'Tensor' at 0x7f2060124fe0>
2022-11-23T01:32:31.6523206Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6523279Z             }
2022-11-23T01:32:31.6523341Z             
2022-11-23T01:32:31.6523416Z  - 
2022-11-23T01:32:31.6523547Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:31.6523614Z             {
2022-11-23T01:32:31.6523741Z                 'guard_types': None,
2022-11-23T01:32:31.6523856Z                 'code': None,
2022-11-23T01:32:31.6523973Z                 'obj_weakref': None
2022-11-23T01:32:31.6524099Z                 'guarded_class': None
2022-11-23T01:32:31.6524167Z             }
2022-11-23T01:32:31.6524236Z             
2022-11-23T01:32:31.6524499Z [2022-11-23 01:29:56,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 573
2022-11-23T01:32:31.6524763Z [2022-11-23 01:29:56,081] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.6525018Z [2022-11-23 01:29:56,089] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6525387Z [2022-11-23 01:29:56,221] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5pwgo54nesletmljyph7fartzkqt77qg7cyq4kshizomdingstm.py
2022-11-23T01:32:31.6525647Z [2022-11-23 01:29:56,221] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 573
2022-11-23T01:32:31.6525911Z [2022-11-23 01:29:56,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 573
2022-11-23T01:32:31.6526160Z [2022-11-23 01:29:56,230] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6526166Z 
2022-11-23T01:32:31.6526267Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6526340Z import torch
2022-11-23T01:32:31.6526416Z import random
2022-11-23T01:32:31.6526539Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6526696Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6526719Z 
2022-11-23T01:32:31.6526798Z aten = torch.ops.aten
2022-11-23T01:32:31.6526938Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6527035Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6527040Z 
2022-11-23T01:32:31.6527119Z import triton
2022-11-23T01:32:31.6527212Z import triton.language as tl
2022-11-23T01:32:31.6527339Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6527486Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6527492Z 
2022-11-23T01:32:31.6527496Z 
2022-11-23T01:32:31.6527650Z triton_fused_mul0 = async_compile.triton('''
2022-11-23T01:32:31.6527718Z import triton
2022-11-23T01:32:31.6527811Z import triton.language as tl
2022-11-23T01:32:31.6527927Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6528031Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6528169Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6528297Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6528305Z 
2022-11-23T01:32:31.6528701Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6528776Z @triton.jit
2022-11-23T01:32:31.6528914Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6528989Z     xnumel = 100000
2022-11-23T01:32:31.6529090Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6529222Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6529307Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6529377Z     x0 = xindex
2022-11-23T01:32:31.6529477Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6529568Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6529652Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.6529794Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6529885Z ''')
2022-11-23T01:32:31.6529890Z 
2022-11-23T01:32:31.6529895Z 
2022-11-23T01:32:31.6529989Z async_compile.wait(globals())
2022-11-23T01:32:31.6530068Z del async_compile
2022-11-23T01:32:31.6530073Z 
2022-11-23T01:32:31.6530150Z def call(args):
2022-11-23T01:32:31.6530243Z     primals_1, primals_2 = args
2022-11-23T01:32:31.6530313Z     args.clear()
2022-11-23T01:32:31.6530515Z     buf0 = empty_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6530609Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6530767Z     triton_fused_mul0.run(primals_1, primals_2, buf0, 100000, grid=grid(100000), stream=stream0)
2022-11-23T01:32:31.6530842Z     del primals_2
2022-11-23T01:32:31.6530930Z     return (buf0, primals_1, )
2022-11-23T01:32:31.6530935Z 
2022-11-23T01:32:31.6530940Z 
2022-11-23T01:32:31.6531021Z if __name__ == "__main__":
2022-11-23T01:32:31.6531137Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6531264Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6531471Z     primals_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6531675Z     primals_2 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6531809Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:31.6531815Z 
2022-11-23T01:32:31.6531819Z 
2022-11-23T01:32:31.6531920Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6531995Z import torch
2022-11-23T01:32:31.6532071Z import random
2022-11-23T01:32:31.6532185Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6532312Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6532318Z 
2022-11-23T01:32:31.6532399Z aten = torch.ops.aten
2022-11-23T01:32:31.6532537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6532661Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6532685Z 
2022-11-23T01:32:31.6532759Z import triton
2022-11-23T01:32:31.6532851Z import triton.language as tl
2022-11-23T01:32:31.6532981Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6533116Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6533122Z 
2022-11-23T01:32:31.6533134Z 
2022-11-23T01:32:31.6533282Z triton_fused_mul_10 = async_compile.triton('''
2022-11-23T01:32:31.6533357Z import triton
2022-11-23T01:32:31.6533451Z import triton.language as tl
2022-11-23T01:32:31.6533566Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6533669Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6533804Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6533932Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6533938Z 
2022-11-23T01:32:31.6534326Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6534403Z @triton.jit
2022-11-23T01:32:31.6534548Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6534625Z     xnumel = 100000
2022-11-23T01:32:31.6534723Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6534859Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6534945Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6535010Z     x0 = xindex
2022-11-23T01:32:31.6535110Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6535206Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6535287Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:31.6535425Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6535512Z ''')
2022-11-23T01:32:31.6535517Z 
2022-11-23T01:32:31.6535522Z 
2022-11-23T01:32:31.6535617Z async_compile.wait(globals())
2022-11-23T01:32:31.6535699Z del async_compile
2022-11-23T01:32:31.6535704Z 
2022-11-23T01:32:31.6535772Z def call(args):
2022-11-23T01:32:31.6535867Z     primals_1, tangents_1 = args
2022-11-23T01:32:31.6535944Z     args.clear()
2022-11-23T01:32:31.6536144Z     buf0 = empty_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6536234Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6536395Z     triton_fused_mul_10.run(tangents_1, primals_1, buf0, 100000, grid=grid(100000), stream=stream0)
2022-11-23T01:32:31.6536472Z     del primals_1
2022-11-23T01:32:31.6536542Z     del tangents_1
2022-11-23T01:32:31.6536626Z     return (None, buf0, )
2022-11-23T01:32:31.6536631Z 
2022-11-23T01:32:31.6536636Z 
2022-11-23T01:32:31.6536715Z if __name__ == "__main__":
2022-11-23T01:32:31.6536837Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6536966Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6537175Z     primals_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6537386Z     tangents_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6537519Z     print_performance(lambda: call([primals_1, tangents_1]))
2022-11-23T01:32:31.6537524Z 
2022-11-23T01:32:31.6537529Z 
2022-11-23T01:32:31.6537630Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6537698Z import torch
2022-11-23T01:32:31.6537772Z import random
2022-11-23T01:32:31.6537893Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6538017Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6538022Z 
2022-11-23T01:32:31.6538104Z aten = torch.ops.aten
2022-11-23T01:32:31.6538243Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6538339Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6538344Z 
2022-11-23T01:32:31.6538412Z import triton
2022-11-23T01:32:31.6538535Z import triton.language as tl
2022-11-23T01:32:31.6538689Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6538940Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6539111Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.6539116Z 
2022-11-23T01:32:31.6539121Z 
2022-11-23T01:32:31.6539374Z triton_fused__to_copy_philox_rand_like_mul_mul_1_philox_seed_like_mul_2_gt0 = async_compile.triton('''
2022-11-23T01:32:31.6539450Z import triton
2022-11-23T01:32:31.6539543Z import triton.language as tl
2022-11-23T01:32:31.6539652Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6539756Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6539893Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6540021Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6540027Z 
2022-11-23T01:32:31.6540436Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.6540511Z @triton.jit
2022-11-23T01:32:31.6540663Z def kernel(seed0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6540739Z     xnumel = 100000
2022-11-23T01:32:31.6540831Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6540963Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6541048Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6541120Z     x0 = xindex
2022-11-23T01:32:31.6541252Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.6541347Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6541444Z     tmp7 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.6541510Z     tmp1 = x0
2022-11-23T01:32:31.6541599Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.6541674Z     tmp3 = 0.33
2022-11-23T01:32:31.6541755Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.6541843Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.6541922Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:31.6542001Z     tmp9 = tmp5 * tmp8
2022-11-23T01:32:31.6542074Z     tmp10 = 1.492537313432836
2022-11-23T01:32:31.6542154Z     tmp11 = tmp9 * tmp10
2022-11-23T01:32:31.6542292Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.6542379Z ''')
2022-11-23T01:32:31.6542385Z 
2022-11-23T01:32:31.6542389Z 
2022-11-23T01:32:31.6542483Z async_compile.wait(globals())
2022-11-23T01:32:31.6542560Z del async_compile
2022-11-23T01:32:31.6542565Z 
2022-11-23T01:32:31.6542641Z def call(args):
2022-11-23T01:32:31.6542725Z     primals_1, primals_2 = args
2022-11-23T01:32:31.6542803Z     args.clear()
2022-11-23T01:32:31.6542942Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.6543144Z     buf0 = empty_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6543239Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6543463Z     triton_fused__to_copy_philox_rand_like_mul_mul_1_philox_seed_like_mul_2_gt0.run(seed_cuda_0, primals_1, primals_2, buf0, 100000, grid=grid(100000), stream=stream0)
2022-11-23T01:32:31.6543542Z     del primals_2
2022-11-23T01:32:31.6543659Z     return (buf0, primals_1, seed_cuda_0.clone(), )
2022-11-23T01:32:31.6543664Z 
2022-11-23T01:32:31.6543668Z 
2022-11-23T01:32:31.6543748Z if __name__ == "__main__":
2022-11-23T01:32:31.6543860Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6543988Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6544180Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6544387Z     primals_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6544588Z     primals_2 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6544797Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:31.6544827Z 
2022-11-23T01:32:31.6545195Z [2022-11-23 01:29:56,362] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ff/cffi7sjmkkszstd6qwx3hsy5i4tnofuxeauf5igdp2lm5x7d6gs5.py
2022-11-23T01:32:31.6545464Z [2022-11-23 01:29:56,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 573
2022-11-23T01:32:31.6545470Z 
2022-11-23T01:32:31.6545562Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6545637Z import torch
2022-11-23T01:32:31.6545711Z import random
2022-11-23T01:32:31.6545832Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6545955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6545961Z 
2022-11-23T01:32:31.6546044Z aten = torch.ops.aten
2022-11-23T01:32:31.6546184Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6546281Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6546288Z 
2022-11-23T01:32:31.6546359Z import triton
2022-11-23T01:32:31.6546452Z import triton.language as tl
2022-11-23T01:32:31.6546578Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6546720Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6546725Z 
2022-11-23T01:32:31.6546730Z 
2022-11-23T01:32:31.6546961Z triton_fused__to_copy_1_gt_1_mul_4_philox_rand_like_1_mul_5_mul_30 = async_compile.triton('''
2022-11-23T01:32:31.6547038Z import triton
2022-11-23T01:32:31.6547133Z import triton.language as tl
2022-11-23T01:32:31.6547248Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6547345Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6547478Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6547604Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6547610Z 
2022-11-23T01:32:31.6548012Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.6548090Z @triton.jit
2022-11-23T01:32:31.6548242Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6548316Z     xnumel = 100000
2022-11-23T01:32:31.6548415Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6548540Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6548626Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6548696Z     x0 = xindex
2022-11-23T01:32:31.6548830Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.6548928Z     tmp6 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6549029Z     tmp10 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.6549100Z     tmp1 = x0
2022-11-23T01:32:31.6549182Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.6549258Z     tmp3 = 0.33
2022-11-23T01:32:31.6549339Z     tmp4 = tmp2 > tmp3
2022-11-23T01:32:31.6549429Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.6549508Z     tmp7 = tmp5 * tmp6
2022-11-23T01:32:31.6549588Z     tmp8 = 1.492537313432836
2022-11-23T01:32:31.6549660Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.6549742Z     tmp11 = tmp9 * tmp10
2022-11-23T01:32:31.6549880Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.6549969Z ''')
2022-11-23T01:32:31.6549974Z 
2022-11-23T01:32:31.6549978Z 
2022-11-23T01:32:31.6550069Z async_compile.wait(globals())
2022-11-23T01:32:31.6550150Z del async_compile
2022-11-23T01:32:31.6550155Z 
2022-11-23T01:32:31.6550230Z def call(args):
2022-11-23T01:32:31.6550411Z     primals_1, philox_seed_like, tangents_1 = args
2022-11-23T01:32:31.6550496Z     args.clear()
2022-11-23T01:32:31.6550696Z     buf0 = empty_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6550787Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6551035Z     triton_fused__to_copy_1_gt_1_mul_4_philox_rand_like_1_mul_5_mul_30.run(philox_seed_like, tangents_1, primals_1, buf0, 100000, grid=grid(100000), stream=stream0)
2022-11-23T01:32:31.6551139Z     del philox_seed_like
2022-11-23T01:32:31.6551216Z     del primals_1
2022-11-23T01:32:31.6551292Z     del tangents_1
2022-11-23T01:32:31.6551369Z     return (None, buf0, )
2022-11-23T01:32:31.6551380Z 
2022-11-23T01:32:31.6551385Z 
2022-11-23T01:32:31.6551459Z if __name__ == "__main__":
2022-11-23T01:32:31.6551580Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6551707Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6551916Z     primals_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6552119Z     philox_seed_like = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6552328Z     tangents_1 = rand_strided((100000, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6552484Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2022-11-23T01:32:31.6552492Z 
2022-11-23T01:32:31.6552565Z ok (0.425s)
2022-11-23T01:32:31.6552877Z   test_lowmem_dropout2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:56,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6553193Z [2022-11-23 01:29:56,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4212
2022-11-23T01:32:31.6553407Z [2022-11-23 01:29:56,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m []
2022-11-23T01:32:31.6553653Z [2022-11-23 01:29:56,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:31.6553928Z [2022-11-23 01:29:56,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:31.6554182Z [2022-11-23 01:29:56,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6554422Z [2022-11-23 01:29:56,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6554666Z [2022-11-23 01:29:56,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.6554904Z [2022-11-23 01:29:56,385] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.6555090Z [2022-11-23 01:29:56,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6555232Z  __compiled_fn_591 <eval_with_key>.3660 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6555320Z placeholder, x, x, (), {}
2022-11-23T01:32:31.6555410Z call_module, m_0, m_0, (x,), {}
2022-11-23T01:32:31.6555500Z call_module, m_1, m_1, (m_0,), {}
2022-11-23T01:32:31.6555585Z call_module, m_2, m_2, (m_1,), {}
2022-11-23T01:32:31.6555672Z call_module, m_3, m_3, (m_2,), {}
2022-11-23T01:32:31.6555765Z output, output, output, ((m_3,),), {}
2022-11-23T01:32:31.6555771Z 
2022-11-23T01:32:31.6556098Z [2022-11-23 01:29:56,386] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:31.6556197Z 4212           0 LOAD_DEREF               0 (m)
2022-11-23T01:32:31.6556296Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6556396Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.6556477Z                6 RETURN_VALUE
2022-11-23T01:32:31.6556482Z 
2022-11-23T01:32:31.6556548Z  
2022-11-23T01:32:31.6556873Z [2022-11-23 01:29:56,386] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:31.6556983Z 4210           0 LOAD_GLOBAL              0 (__compiled_fn_591)
2022-11-23T01:32:31.6557080Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6557177Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.6557306Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6557422Z                8 RETURN_VALUE
2022-11-23T01:32:31.6557427Z 
2022-11-23T01:32:31.6557493Z  
2022-11-23T01:32:31.6557681Z [2022-11-23 01:29:56,387] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6557757Z  - 
2022-11-23T01:32:31.6557869Z             local 'm' NN_MODULE
2022-11-23T01:32:31.6557937Z             {
2022-11-23T01:32:31.6558078Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6558244Z                 'code': ['___check_obj_id(m, 139775922253360)'],
2022-11-23T01:32:31.6558470Z                 'obj_weakref': <weakref at 0x7f1ff814d080; to 'Sequential' at 0x7f201e31ae30>
2022-11-23T01:32:31.6558714Z                 'guarded_class': <weakref at 0x7f2073c2b1f0; to 'type' at 0x5630fba9aab0 (Sequential)>
2022-11-23T01:32:31.6558783Z             }
2022-11-23T01:32:31.6558844Z             
2022-11-23T01:32:31.6558920Z  - 
2022-11-23T01:32:31.6559047Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.6559117Z             {
2022-11-23T01:32:31.6559273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6559384Z                 'code': None,
2022-11-23T01:32:31.6559602Z                 'obj_weakref': <weakref at 0x7f20606b98f0; to 'Tensor' at 0x7f20233e6e30>
2022-11-23T01:32:31.6559850Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6559919Z             }
2022-11-23T01:32:31.6559986Z             
2022-11-23T01:32:31.6560062Z  - 
2022-11-23T01:32:31.6560207Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T01:32:31.6560280Z             {
2022-11-23T01:32:31.6560406Z                 'guard_types': None,
2022-11-23T01:32:31.6560511Z                 'code': None,
2022-11-23T01:32:31.6560634Z                 'obj_weakref': None
2022-11-23T01:32:31.6560760Z                 'guarded_class': None
2022-11-23T01:32:31.6560829Z             }
2022-11-23T01:32:31.6560897Z             
2022-11-23T01:32:31.6560977Z  - 
2022-11-23T01:32:31.6561112Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T01:32:31.6561186Z             {
2022-11-23T01:32:31.6561310Z                 'guard_types': None,
2022-11-23T01:32:31.6561423Z                 'code': None,
2022-11-23T01:32:31.6561546Z                 'obj_weakref': None
2022-11-23T01:32:31.6561672Z                 'guarded_class': None
2022-11-23T01:32:31.6561742Z             }
2022-11-23T01:32:31.6561804Z             
2022-11-23T01:32:31.6561878Z  - 
2022-11-23T01:32:31.6562018Z             local_nn_module 'm[2]' NN_MODULE
2022-11-23T01:32:31.6562087Z             {
2022-11-23T01:32:31.6562207Z                 'guard_types': None,
2022-11-23T01:32:31.6562319Z                 'code': None,
2022-11-23T01:32:31.6562443Z                 'obj_weakref': None
2022-11-23T01:32:31.6562562Z                 'guarded_class': None
2022-11-23T01:32:31.6562629Z             }
2022-11-23T01:32:31.6562696Z             
2022-11-23T01:32:31.6562772Z  - 
2022-11-23T01:32:31.6562916Z             local_nn_module 'm[3]' NN_MODULE
2022-11-23T01:32:31.6562987Z             {
2022-11-23T01:32:31.6563103Z                 'guard_types': None,
2022-11-23T01:32:31.6563216Z                 'code': None,
2022-11-23T01:32:31.6563337Z                 'obj_weakref': None
2022-11-23T01:32:31.6563465Z                 'guarded_class': None
2022-11-23T01:32:31.6563533Z             }
2022-11-23T01:32:31.6563602Z             
2022-11-23T01:32:31.6563864Z [2022-11-23 01:29:56,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 574
2022-11-23T01:32:31.6564123Z [2022-11-23 01:29:56,441] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.6564407Z [2022-11-23 01:29:56,458] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.6564719Z [2022-11-23 01:29:56,461] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4'), SchedulerNode(name='buf5')]
2022-11-23T01:32:31.6565081Z [2022-11-23 01:29:56,602] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4c/c4c4g2l7gvoaa3rkxjgwv2h27gmoji7sxkqffq43aq2nipiuiabc.py
2022-11-23T01:32:31.6565368Z [2022-11-23 01:29:56,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 574
2022-11-23T01:32:31.6565626Z [2022-11-23 01:29:56,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 574
2022-11-23T01:32:31.6565871Z [2022-11-23 01:29:56,748] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6566115Z [2022-11-23 01:29:56,749] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:31.6566121Z 
2022-11-23T01:32:31.6566221Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6566296Z import torch
2022-11-23T01:32:31.6566364Z import random
2022-11-23T01:32:31.6566487Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6566615Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6566622Z 
2022-11-23T01:32:31.6566706Z aten = torch.ops.aten
2022-11-23T01:32:31.6566846Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6566947Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6566953Z 
2022-11-23T01:32:31.6567027Z import triton
2022-11-23T01:32:31.6567113Z import triton.language as tl
2022-11-23T01:32:31.6567242Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6567387Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6567552Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.6567557Z 
2022-11-23T01:32:31.6567562Z 
2022-11-23T01:32:31.6567767Z triton_fused_rand_like_gt_mul_1_permute_mul_mm0 = async_compile.triton('''
2022-11-23T01:32:31.6567842Z import triton
2022-11-23T01:32:31.6567936Z import triton.language as tl
2022-11-23T01:32:31.6568055Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6568153Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6568291Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6568415Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6568420Z 
2022-11-23T01:32:31.6568805Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6568879Z @triton.jit
2022-11-23T01:32:31.6569028Z def kernel(in_out_ptr0, seed0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6569104Z     xnumel = 256
2022-11-23T01:32:31.6569203Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6569329Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6569412Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6569484Z     x0 = xindex
2022-11-23T01:32:31.6569618Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.6569727Z     tmp8 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6569800Z     tmp1 = 65535
2022-11-23T01:32:31.6569879Z     tmp2 = tmp0 ^ tmp1
2022-11-23T01:32:31.6569944Z     tmp3 = x0
2022-11-23T01:32:31.6570033Z     tmp4 = tl.rand(tmp2, tmp3)
2022-11-23T01:32:31.6570106Z     tmp5 = 0.5
2022-11-23T01:32:31.6570186Z     tmp6 = tmp4 > tmp5
2022-11-23T01:32:31.6570275Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:31.6570352Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.6570424Z     tmp10 = 2.0
2022-11-23T01:32:31.6570499Z     tmp11 = tmp9 * tmp10
2022-11-23T01:32:31.6570636Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.6570776Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.6570865Z ''')
2022-11-23T01:32:31.6570870Z 
2022-11-23T01:32:31.6570875Z 
2022-11-23T01:32:31.6571160Z triton_fused_rand_like_permute_1_gt_permute_mul_mul_3_gt_1_mul_1_rand_like_1_mm_11 = async_compile.triton('''
2022-11-23T01:32:31.6571258Z import triton
2022-11-23T01:32:31.6571352Z import triton.language as tl
2022-11-23T01:32:31.6571461Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6571562Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6571696Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6571823Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6571828Z 
2022-11-23T01:32:31.6572209Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6572283Z @triton.jit
2022-11-23T01:32:31.6572443Z def kernel(in_out_ptr0, seed0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6572529Z     xnumel = 256
2022-11-23T01:32:31.6572639Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6572779Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6572867Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6572939Z     x0 = xindex
2022-11-23T01:32:31.6573070Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.6573174Z     tmp8 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6573248Z     tmp1 = 65535
2022-11-23T01:32:31.6573319Z     tmp2 = tmp0 ^ tmp1
2022-11-23T01:32:31.6573397Z     tmp3 = 256 + x0
2022-11-23T01:32:31.6573487Z     tmp4 = tl.rand(tmp2, tmp3)
2022-11-23T01:32:31.6573561Z     tmp5 = 0.5
2022-11-23T01:32:31.6573641Z     tmp6 = tmp4 > tmp5
2022-11-23T01:32:31.6573726Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:31.6573802Z     tmp9 = tmp7 * tmp8
2022-11-23T01:32:31.6573868Z     tmp10 = 2.0
2022-11-23T01:32:31.6573947Z     tmp11 = tmp9 * tmp10
2022-11-23T01:32:31.6574087Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.6574234Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.6574325Z ''')
2022-11-23T01:32:31.6574330Z 
2022-11-23T01:32:31.6574335Z 
2022-11-23T01:32:31.6574430Z async_compile.wait(globals())
2022-11-23T01:32:31.6574510Z del async_compile
2022-11-23T01:32:31.6574515Z 
2022-11-23T01:32:31.6574589Z def call(args):
2022-11-23T01:32:31.6574690Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:31.6574767Z     args.clear()
2022-11-23T01:32:31.6574903Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.6575104Z     buf0 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6575243Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2022-11-23T01:32:31.6575321Z     del primals_1
2022-11-23T01:32:31.6575514Z     buf1 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6575598Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:31.6575692Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6575874Z     triton_fused_rand_like_gt_mul_1_permute_mul_mm0.run(buf2, seed_cuda_0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6576072Z     buf3 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6576204Z     aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3)
2022-11-23T01:32:31.6576394Z     buf4 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6576486Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:31.6576697Z     triton_fused_rand_like_permute_1_gt_permute_mul_mul_3_gt_1_mul_1_rand_like_1_mm_11.run(buf5, seed_cuda_0, buf4, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6576842Z     return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), )
2022-11-23T01:32:31.6576853Z 
2022-11-23T01:32:31.6576858Z 
2022-11-23T01:32:31.6576932Z if __name__ == "__main__":
2022-11-23T01:32:31.6577080Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6577227Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6577422Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6577630Z     primals_1 = rand_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6577832Z     primals_2 = rand_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6578037Z     primals_3 = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6578183Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:31.6578188Z 
2022-11-23T01:32:31.6578540Z [2022-11-23 01:29:56,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eo/ceoeosa6wo6h6hgi45byzrzunb6qcr4nq3xt32yxlemmlizok5b3.py
2022-11-23T01:32:31.6578929Z [2022-11-23 01:29:56,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 574
2022-11-23T01:32:31.6578935Z 
2022-11-23T01:32:31.6579040Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6579113Z import torch
2022-11-23T01:32:31.6579189Z import random
2022-11-23T01:32:31.6579314Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6579439Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6579444Z 
2022-11-23T01:32:31.6579527Z aten = torch.ops.aten
2022-11-23T01:32:31.6579658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6579753Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6579758Z 
2022-11-23T01:32:31.6579832Z import triton
2022-11-23T01:32:31.6579925Z import triton.language as tl
2022-11-23T01:32:31.6580054Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6580197Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6580202Z 
2022-11-23T01:32:31.6580207Z 
2022-11-23T01:32:31.6580404Z triton_fused_mul_4__to_copy_clone_mul_50 = async_compile.triton('''
2022-11-23T01:32:31.6580482Z import triton
2022-11-23T01:32:31.6580568Z import triton.language as tl
2022-11-23T01:32:31.6580683Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6580785Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6580920Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6581048Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6581053Z 
2022-11-23T01:32:31.6581439Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6581512Z @triton.jit
2022-11-23T01:32:31.6581655Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6581723Z     xnumel = 256
2022-11-23T01:32:31.6581820Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6581952Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6582038Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6582109Z     x0 = xindex
2022-11-23T01:32:31.6582206Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6582303Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6582384Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.6582456Z     tmp3 = 2.0
2022-11-23T01:32:31.6582534Z     tmp4 = tmp2 * tmp3
2022-11-23T01:32:31.6582611Z     tmp5 = tmp0 * tmp4
2022-11-23T01:32:31.6582751Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.6582837Z ''')
2022-11-23T01:32:31.6582842Z 
2022-11-23T01:32:31.6582847Z 
2022-11-23T01:32:31.6583091Z triton_fused_mul_6_clone_mul_5_mul_7_mul_4__to_copy__to_copy_1_clone_1_mm_31 = async_compile.triton('''
2022-11-23T01:32:31.6583159Z import triton
2022-11-23T01:32:31.6583250Z import triton.language as tl
2022-11-23T01:32:31.6583366Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6583514Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6583675Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6583802Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6583807Z 
2022-11-23T01:32:31.6584176Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6584252Z @triton.jit
2022-11-23T01:32:31.6584382Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6584458Z     xnumel = 256
2022-11-23T01:32:31.6584556Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6584686Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6584770Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6584846Z     x0 = xindex
2022-11-23T01:32:31.6584950Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6585043Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6585132Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.6585203Z     tmp3 = 2.0
2022-11-23T01:32:31.6585281Z     tmp4 = tmp2 * tmp3
2022-11-23T01:32:31.6585357Z     tmp5 = tmp0 * tmp4
2022-11-23T01:32:31.6585500Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.6585598Z ''')
2022-11-23T01:32:31.6585603Z 
2022-11-23T01:32:31.6585608Z 
2022-11-23T01:32:31.6585701Z async_compile.wait(globals())
2022-11-23T01:32:31.6585771Z del async_compile
2022-11-23T01:32:31.6585777Z 
2022-11-23T01:32:31.6585853Z def call(args):
2022-11-23T01:32:31.6585980Z     primals_3, gt, mul_1, gt_1, permute_4, tangents_1 = args
2022-11-23T01:32:31.6586055Z     args.clear()
2022-11-23T01:32:31.6586256Z     buf0 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6586347Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6586522Z     triton_fused_mul_4__to_copy_clone_mul_50.run(tangents_1, gt_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6586589Z     del gt_1
2022-11-23T01:32:31.6586665Z     del tangents_1
2022-11-23T01:32:31.6586864Z     buf1 = empty_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6586989Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul_1, out=buf1)
2022-11-23T01:32:31.6587059Z     del mul_1
2022-11-23T01:32:31.6587255Z     buf2 = empty_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6587359Z     aten.mm.out(buf0, permute_4, out=buf2)
2022-11-23T01:32:31.6587423Z     del buf0
2022-11-23T01:32:31.6587500Z     del permute_4
2022-11-23T01:32:31.6587588Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:31.6587772Z     triton_fused_mul_6_clone_mul_5_mul_7_mul_4__to_copy__to_copy_1_clone_1_mm_31.run(buf3, gt, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6587842Z     del gt
2022-11-23T01:32:31.6588043Z     buf4 = empty_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6588178Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2022-11-23T01:32:31.6588242Z     del buf3
2022-11-23T01:32:31.6588317Z     del primals_3
2022-11-23T01:32:31.6588456Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2022-11-23T01:32:31.6588462Z 
2022-11-23T01:32:31.6588467Z 
2022-11-23T01:32:31.6588548Z if __name__ == "__main__":
2022-11-23T01:32:31.6588669Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6588795Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6589001Z     primals_3 = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6589188Z     gt = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6589380Z     mul_1 = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6589596Z     gt_1 = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6589822Z     permute_4 = rand_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6590023Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6590185Z     print_performance(lambda: call([primals_3, gt, mul_1, gt_1, permute_4, tangents_1]))
2022-11-23T01:32:31.6590190Z 
2022-11-23T01:32:31.6590318Z ok (0.581s)
2022-11-23T01:32:31.6590653Z   test_masked_fill_cuda (__main__.CudaTests) ... [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6590970Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6591192Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6591443Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6591726Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6592063Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6592435Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6592755Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6593127Z [2022-11-23 01:29:56,951] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456> 
2022-11-23T01:32:31.6593232Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6593343Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6593443Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6593540Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6593682Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T01:32:31.6593777Z               10 CALL_METHOD              3
2022-11-23T01:32:31.6593874Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6593952Z               14 BINARY_ADD
2022-11-23T01:32:31.6594051Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6594156Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6594161Z 
2022-11-23T01:32:31.6594257Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6594345Z               22 LOAD_CONST               3 (2.0)
2022-11-23T01:32:31.6594435Z               24 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.6594536Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.6594645Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:31.6594741Z               30 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6594835Z               32 CALL_METHOD              1
2022-11-23T01:32:31.6594933Z               34 LOAD_CONST               4 (667)
2022-11-23T01:32:31.6594938Z 
2022-11-23T01:32:31.6595027Z 2457          36 CALL_METHOD              3
2022-11-23T01:32:31.6595115Z               38 BUILD_TUPLE              2
2022-11-23T01:32:31.6595198Z               40 RETURN_VALUE
2022-11-23T01:32:31.6595264Z  
2022-11-23T01:32:31.6595269Z 
2022-11-23T01:32:31.6595581Z [2022-11-23 01:29:56,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:31.6595799Z [2022-11-23 01:29:56,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6596143Z [2022-11-23 01:29:56,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6596433Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6596722Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6597042Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6597393Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6597630Z [2022-11-23 01:29:56,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.6597912Z [2022-11-23 01:29:56,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6598157Z [2022-11-23 01:29:56,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.6598503Z [2022-11-23 01:29:56,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6598819Z [2022-11-23 01:29:56,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458
2022-11-23T01:32:31.6599115Z [2022-11-23 01:29:56,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6599436Z [2022-11-23 01:29:56,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6599813Z [2022-11-23 01:29:56,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6600140Z [2022-11-23 01:29:56,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6600620Z [2022-11-23 01:29:56,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6601061Z [2022-11-23 01:29:56,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6601532Z [2022-11-23 01:29:56,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6601867Z [2022-11-23 01:29:56,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6602175Z [2022-11-23 01:29:56,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:31.6602555Z [2022-11-23 01:29:56,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6602822Z [2022-11-23 01:29:56,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6603097Z [2022-11-23 01:29:56,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6603506Z [2022-11-23 01:29:56,967] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456>
2022-11-23T01:32:31.6603756Z [2022-11-23 01:29:56,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6603995Z [2022-11-23 01:29:56,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6604251Z [2022-11-23 01:29:56,969] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6604503Z [2022-11-23 01:29:56,973] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6604689Z [2022-11-23 01:29:56,973] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6604832Z  __compiled_fn_592 <eval_with_key>.3671 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6604929Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6605021Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6605220Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T01:32:31.6605408Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T01:32:31.6605603Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T01:32:31.6605854Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6605998Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T01:32:31.6606116Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T01:32:31.6606121Z 
2022-11-23T01:32:31.6606450Z [2022-11-23 01:29:56,973] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6606553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6606653Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6606746Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6606846Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6606938Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6607024Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6607105Z              12 RETURN_VALUE
2022-11-23T01:32:31.6607111Z 
2022-11-23T01:32:31.6607176Z  
2022-11-23T01:32:31.6607498Z [2022-11-23 01:29:56,974] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6607617Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_592)
2022-11-23T01:32:31.6607713Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6607811Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6607897Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6607984Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6608081Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6608164Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6608259Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6608370Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6608479Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6608573Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6608647Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6608755Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6608850Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6608931Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6609023Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.6609104Z              32 RETURN_VALUE
2022-11-23T01:32:31.6609109Z 
2022-11-23T01:32:31.6609173Z  
2022-11-23T01:32:31.6609382Z [2022-11-23 01:29:56,974] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6609478Z  - 
2022-11-23T01:32:31.6609605Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6609672Z             {
2022-11-23T01:32:31.6609818Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6610009Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6610133Z                 'obj_weakref': None
2022-11-23T01:32:31.6610354Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6610421Z             }
2022-11-23T01:32:31.6610492Z             
2022-11-23T01:32:31.6610567Z  - 
2022-11-23T01:32:31.6610694Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6610763Z             {
2022-11-23T01:32:31.6610911Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6611017Z                 'code': None,
2022-11-23T01:32:31.6611231Z                 'obj_weakref': <weakref at 0x7f2022f5f790; to 'Tensor' at 0x7f20680b1990>
2022-11-23T01:32:31.6611487Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6611556Z             }
2022-11-23T01:32:31.6611625Z             
2022-11-23T01:32:31.6611698Z  - 
2022-11-23T01:32:31.6611826Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6611887Z             {
2022-11-23T01:32:31.6612033Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6612144Z                 'code': None,
2022-11-23T01:32:31.6612354Z                 'obj_weakref': <weakref at 0x7f20682fdb20; to 'Tensor' at 0x7f20680b0130>
2022-11-23T01:32:31.6612607Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6612675Z             }
2022-11-23T01:32:31.6612742Z             
2022-11-23T01:32:31.6612810Z  - 
2022-11-23T01:32:31.6612948Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6613017Z             {
2022-11-23T01:32:31.6613158Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6613334Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6613457Z                 'obj_weakref': None
2022-11-23T01:32:31.6613689Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6613751Z             }
2022-11-23T01:32:31.6613820Z             
2022-11-23T01:32:31.6613894Z  - 
2022-11-23T01:32:31.6614020Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6614091Z             {
2022-11-23T01:32:31.6614232Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6614451Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6614568Z                 'obj_weakref': None
2022-11-23T01:32:31.6614794Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6614863Z             }
2022-11-23T01:32:31.6614930Z             
2022-11-23T01:32:31.6615003Z  - 
2022-11-23T01:32:31.6615140Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6615214Z             {
2022-11-23T01:32:31.6615332Z                 'guard_types': None,
2022-11-23T01:32:31.6615443Z                 'code': None,
2022-11-23T01:32:31.6615567Z                 'obj_weakref': None
2022-11-23T01:32:31.6615694Z                 'guarded_class': None
2022-11-23T01:32:31.6615764Z             }
2022-11-23T01:32:31.6615832Z             
2022-11-23T01:32:31.6615911Z  - 
2022-11-23T01:32:31.6616041Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6616110Z             {
2022-11-23T01:32:31.6616235Z                 'guard_types': None,
2022-11-23T01:32:31.6616346Z                 'code': None,
2022-11-23T01:32:31.6616470Z                 'obj_weakref': None
2022-11-23T01:32:31.6616595Z                 'guarded_class': None
2022-11-23T01:32:31.6616689Z             }
2022-11-23T01:32:31.6616762Z             
2022-11-23T01:32:31.6617052Z [2022-11-23 01:29:56,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 575
2022-11-23T01:32:31.6617351Z [2022-11-23 01:29:56,994] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6617715Z [2022-11-23 01:29:57,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pt/cpt4nmhw2jtepbc3ioyihkjsgs4ge4ties2bukfwhj6bx6eui64e.py
2022-11-23T01:32:31.6617983Z [2022-11-23 01:29:57,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 575
2022-11-23T01:32:31.6618225Z [2022-11-23 01:29:57,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6618538Z [2022-11-23 01:29:57,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6618765Z [2022-11-23 01:29:57,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6619133Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6619412Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6619728Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6620078Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6620396Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6620776Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456> 
2022-11-23T01:32:31.6620883Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6620992Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6621091Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6621188Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6621334Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T01:32:31.6621430Z               10 CALL_METHOD              3
2022-11-23T01:32:31.6621530Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6621610Z               14 BINARY_ADD
2022-11-23T01:32:31.6621707Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6621815Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6621821Z 
2022-11-23T01:32:31.6621922Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6622013Z               22 LOAD_CONST               3 (2.0)
2022-11-23T01:32:31.6622100Z               24 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.6622202Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.6622309Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:31.6622405Z               30 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6622500Z               32 CALL_METHOD              1
2022-11-23T01:32:31.6622597Z               34 LOAD_CONST               4 (667)
2022-11-23T01:32:31.6622602Z 
2022-11-23T01:32:31.6622693Z 2457          36 CALL_METHOD              3
2022-11-23T01:32:31.6622780Z               38 BUILD_TUPLE              2
2022-11-23T01:32:31.6622861Z               40 RETURN_VALUE
2022-11-23T01:32:31.6622930Z  
2022-11-23T01:32:31.6622935Z 
2022-11-23T01:32:31.6623297Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:31.6623546Z [2022-11-23 01:29:57,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6623857Z [2022-11-23 01:29:57,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6624121Z [2022-11-23 01:29:57,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6624414Z [2022-11-23 01:29:57,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6624739Z [2022-11-23 01:29:57,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6625090Z [2022-11-23 01:29:57,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6625335Z [2022-11-23 01:29:57,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.6625620Z [2022-11-23 01:29:57,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6625870Z [2022-11-23 01:29:57,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.6626214Z [2022-11-23 01:29:57,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6626529Z [2022-11-23 01:29:57,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458
2022-11-23T01:32:31.6626822Z [2022-11-23 01:29:57,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6627144Z [2022-11-23 01:29:57,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6627521Z [2022-11-23 01:29:57,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.6627847Z [2022-11-23 01:29:57,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6628330Z [2022-11-23 01:29:57,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6628773Z [2022-11-23 01:29:57,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6629238Z [2022-11-23 01:29:57,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6629586Z [2022-11-23 01:29:57,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6629903Z [2022-11-23 01:29:57,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:32:31.6630361Z [2022-11-23 01:29:57,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6630687Z [2022-11-23 01:29:57,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6630956Z [2022-11-23 01:29:57,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6631337Z [2022-11-23 01:29:57,090] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eacc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456>
2022-11-23T01:32:31.6631586Z [2022-11-23 01:29:57,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6631824Z [2022-11-23 01:29:57,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6632085Z [2022-11-23 01:29:57,091] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6632343Z [2022-11-23 01:29:57,095] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6632532Z [2022-11-23 01:29:57,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6632674Z  __compiled_fn_593 <eval_with_key>.3677 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6632768Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6632860Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6633063Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T01:32:31.6633251Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T01:32:31.6633445Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T01:32:31.6633696Z call_function, logical_not, <built-in method logical_not of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.6633840Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T01:32:31.6633959Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T01:32:31.6633964Z 
2022-11-23T01:32:31.6634296Z [2022-11-23 01:29:57,096] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6634403Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6634502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6634597Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6634698Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6634788Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6634876Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6634957Z              12 RETURN_VALUE
2022-11-23T01:32:31.6634963Z 
2022-11-23T01:32:31.6635029Z  
2022-11-23T01:32:31.6635353Z [2022-11-23 01:29:57,096] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6635471Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_593)
2022-11-23T01:32:31.6635568Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6635665Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6635747Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6635836Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6635931Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6636011Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6636103Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6636216Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6636326Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6636427Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6636501Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6636607Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6636701Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6636812Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6636911Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.6637019Z              32 RETURN_VALUE
2022-11-23T01:32:31.6637024Z 
2022-11-23T01:32:31.6637091Z  
2022-11-23T01:32:31.6637275Z [2022-11-23 01:29:57,097] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6637351Z  - 
2022-11-23T01:32:31.6637481Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6637551Z             {
2022-11-23T01:32:31.6637696Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6637888Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6638011Z                 'obj_weakref': None
2022-11-23T01:32:31.6638230Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6638300Z             }
2022-11-23T01:32:31.6638369Z             
2022-11-23T01:32:31.6638444Z  - 
2022-11-23T01:32:31.6638573Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6638644Z             {
2022-11-23T01:32:31.6638793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6638897Z                 'code': None,
2022-11-23T01:32:31.6639107Z                 'obj_weakref': <weakref at 0x7f2022f5f790; to 'Tensor' at 0x7f20680b1990>
2022-11-23T01:32:31.6639358Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6639427Z             }
2022-11-23T01:32:31.6639496Z             
2022-11-23T01:32:31.6639572Z  - 
2022-11-23T01:32:31.6639697Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6639759Z             {
2022-11-23T01:32:31.6639905Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6640017Z                 'code': None,
2022-11-23T01:32:31.6640222Z                 'obj_weakref': <weakref at 0x7f20682434c0; to 'Tensor' at 0x7f2023379260>
2022-11-23T01:32:31.6640471Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6640542Z             }
2022-11-23T01:32:31.6640609Z             
2022-11-23T01:32:31.6640678Z  - 
2022-11-23T01:32:31.6640814Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6640883Z             {
2022-11-23T01:32:31.6641023Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6641198Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6641324Z                 'obj_weakref': None
2022-11-23T01:32:31.6641555Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6641617Z             }
2022-11-23T01:32:31.6641686Z             
2022-11-23T01:32:31.6641760Z  - 
2022-11-23T01:32:31.6641888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6641954Z             {
2022-11-23T01:32:31.6642099Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6642321Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6642440Z                 'obj_weakref': None
2022-11-23T01:32:31.6642662Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6642732Z             }
2022-11-23T01:32:31.6642799Z             
2022-11-23T01:32:31.6642874Z  - 
2022-11-23T01:32:31.6643011Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6643077Z             {
2022-11-23T01:32:31.6643195Z                 'guard_types': None,
2022-11-23T01:32:31.6643308Z                 'code': None,
2022-11-23T01:32:31.6643428Z                 'obj_weakref': None
2022-11-23T01:32:31.6643556Z                 'guarded_class': None
2022-11-23T01:32:31.6643624Z             }
2022-11-23T01:32:31.6643690Z             
2022-11-23T01:32:31.6643763Z  - 
2022-11-23T01:32:31.6643894Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6643963Z             {
2022-11-23T01:32:31.6644086Z                 'guard_types': None,
2022-11-23T01:32:31.6644227Z                 'code': None,
2022-11-23T01:32:31.6644403Z                 'obj_weakref': None
2022-11-23T01:32:31.6644530Z                 'guarded_class': None
2022-11-23T01:32:31.6644591Z             }
2022-11-23T01:32:31.6644662Z             
2022-11-23T01:32:31.6644923Z [2022-11-23 01:29:57,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 576
2022-11-23T01:32:31.6645214Z [2022-11-23 01:29:57,116] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6645575Z [2022-11-23 01:29:57,196] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gl/cglzza2i3gshfrnjph7zuthx37bi2bvtxclvdogp45uvdfwhuvj2.py
2022-11-23T01:32:31.6645839Z [2022-11-23 01:29:57,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 576
2022-11-23T01:32:31.6645845Z 
2022-11-23T01:32:31.6645944Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6646021Z import torch
2022-11-23T01:32:31.6646090Z import random
2022-11-23T01:32:31.6649778Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6649906Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6649912Z 
2022-11-23T01:32:31.6649996Z aten = torch.ops.aten
2022-11-23T01:32:31.6650136Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6650234Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6650239Z 
2022-11-23T01:32:31.6650315Z import triton
2022-11-23T01:32:31.6650408Z import triton.language as tl
2022-11-23T01:32:31.6650529Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6650675Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6650680Z 
2022-11-23T01:32:31.6650685Z 
2022-11-23T01:32:31.6650958Z triton_fused_lift_fresh_copy_where_1_add_lift_fresh_copy_1_logical_not_where_div0 = async_compile.triton('''
2022-11-23T01:32:31.6651033Z import triton
2022-11-23T01:32:31.6651130Z import triton.language as tl
2022-11-23T01:32:31.6651247Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6651352Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6651486Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6651606Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6651612Z 
2022-11-23T01:32:31.6652038Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.6652115Z @triton.jit
2022-11-23T01:32:31.6652291Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6652365Z     xnumel = 256
2022-11-23T01:32:31.6652461Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6652593Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6652680Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6652752Z     x0 = xindex % 16
2022-11-23T01:32:31.6652823Z     x2 = xindex
2022-11-23T01:32:31.6652921Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6653018Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.6653125Z     tmp1 = -10000.0
2022-11-23T01:32:31.6653222Z     tmp3 = tl.where(tmp0, tmp1, tmp2)
2022-11-23T01:32:31.6653295Z     tmp4 = 2
2022-11-23T01:32:31.6653368Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:31.6653445Z     tmp6 = tmp0 == 0
2022-11-23T01:32:31.6653517Z     tmp7 = 667.0
2022-11-23T01:32:31.6653590Z     tmp8 = 2.0
2022-11-23T01:32:31.6653666Z     tmp9 = tmp2 / tmp8
2022-11-23T01:32:31.6653763Z     tmp10 = tl.where(tmp6, tmp7, tmp9)
2022-11-23T01:32:31.6653894Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.6654032Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.6654117Z ''')
2022-11-23T01:32:31.6654122Z 
2022-11-23T01:32:31.6654178Z 
2022-11-23T01:32:31.6654273Z async_compile.wait(globals())
2022-11-23T01:32:31.6654383Z del async_compile
2022-11-23T01:32:31.6654388Z 
2022-11-23T01:32:31.6654462Z def call(args):
2022-11-23T01:32:31.6654541Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6654615Z     args.clear()
2022-11-23T01:32:31.6654813Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6655016Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6655106Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6655319Z     triton_fused_lift_fresh_copy_where_1_add_lift_fresh_copy_1_logical_not_where_div0.run(arg0_1, arg1_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6655393Z     del arg0_1
2022-11-23T01:32:31.6655466Z     del arg1_1
2022-11-23T01:32:31.6655547Z     return (buf0, buf1, )
2022-11-23T01:32:31.6655553Z 
2022-11-23T01:32:31.6655557Z 
2022-11-23T01:32:31.6655638Z if __name__ == "__main__":
2022-11-23T01:32:31.6655751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6655880Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6656081Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6656285Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6656407Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6656412Z 
2022-11-23T01:32:31.6656416Z 
2022-11-23T01:32:31.6656516Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6656594Z import torch
2022-11-23T01:32:31.6656667Z import random
2022-11-23T01:32:31.6656780Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6656905Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6656910Z 
2022-11-23T01:32:31.6656994Z aten = torch.ops.aten
2022-11-23T01:32:31.6657133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6657231Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6657239Z 
2022-11-23T01:32:31.6657312Z import triton
2022-11-23T01:32:31.6657409Z import triton.language as tl
2022-11-23T01:32:31.6657528Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6657671Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6657677Z 
2022-11-23T01:32:31.6657681Z 
2022-11-23T01:32:31.6657939Z triton_fused_add_lift_fresh_copy_lift_fresh_copy_1_where_logical_not_where_1_div0 = async_compile.triton('''
2022-11-23T01:32:31.6658014Z import triton
2022-11-23T01:32:31.6658110Z import triton.language as tl
2022-11-23T01:32:31.6658226Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6658326Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6658459Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6658579Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6658590Z 
2022-11-23T01:32:31.6659123Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.6659200Z @triton.jit
2022-11-23T01:32:31.6659356Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6659432Z     xnumel = 256
2022-11-23T01:32:31.6659532Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6659666Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6659750Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6659820Z     x0 = xindex % 16
2022-11-23T01:32:31.6659891Z     x2 = xindex
2022-11-23T01:32:31.6659988Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6660105Z     tmp2 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.6660212Z     tmp1 = -10000.0
2022-11-23T01:32:31.6660357Z     tmp3 = tl.where(tmp0, tmp1, tmp2)
2022-11-23T01:32:31.6660430Z     tmp4 = 2
2022-11-23T01:32:31.6660529Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:31.6660606Z     tmp6 = tmp0 == 0
2022-11-23T01:32:31.6660678Z     tmp7 = 667.0
2022-11-23T01:32:31.6660749Z     tmp8 = 2.0
2022-11-23T01:32:31.6660827Z     tmp9 = tmp2 / tmp8
2022-11-23T01:32:31.6660925Z     tmp10 = tl.where(tmp6, tmp7, tmp9)
2022-11-23T01:32:31.6661062Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.6661193Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.6661281Z ''')
2022-11-23T01:32:31.6661287Z 
2022-11-23T01:32:31.6661291Z 
2022-11-23T01:32:31.6661387Z async_compile.wait(globals())
2022-11-23T01:32:31.6661465Z del async_compile
2022-11-23T01:32:31.6661470Z 
2022-11-23T01:32:31.6661545Z def call(args):
2022-11-23T01:32:31.6661624Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6661700Z     args.clear()
2022-11-23T01:32:31.6661899Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6662099Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6662193Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6662406Z     triton_fused_add_lift_fresh_copy_lift_fresh_copy_1_where_logical_not_where_1_div0.run(arg0_1, arg1_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6662480Z     del arg0_1
2022-11-23T01:32:31.6662550Z     del arg1_1
2022-11-23T01:32:31.6662632Z     return (buf0, buf1, )
2022-11-23T01:32:31.6662638Z 
2022-11-23T01:32:31.6662642Z 
2022-11-23T01:32:31.6662723Z if __name__ == "__main__":
2022-11-23T01:32:31.6662835Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6662962Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6663158Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6663359Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6663482Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6663490Z 
2022-11-23T01:32:31.6663561Z ok (0.251s)
2022-11-23T01:32:31.6664104Z   test_masked_fill_promotion_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.6664181Z   warnings.warn(
2022-11-23T01:32:31.6664423Z [2022-11-23 01:29:57,202] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.6664729Z [2022-11-23 01:29:57,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:32:31.6664948Z [2022-11-23 01:29:57,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6665264Z [2022-11-23 01:29:57,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6665535Z [2022-11-23 01:29:57,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6665826Z [2022-11-23 01:29:57,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6666147Z [2022-11-23 01:29:57,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6666612Z [2022-11-23 01:29:57,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6667066Z [2022-11-23 01:29:57,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6667546Z [2022-11-23 01:29:57,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.6667888Z [2022-11-23 01:29:57,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6668139Z [2022-11-23 01:29:57,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6668375Z [2022-11-23 01:29:57,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.6668618Z [2022-11-23 01:29:57,211] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.6668856Z [2022-11-23 01:29:57,214] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.6669050Z [2022-11-23 01:29:57,214] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6669191Z  __compiled_fn_594 <eval_with_key>.3683 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6669287Z placeholder, mask, mask, (), {}
2022-11-23T01:32:31.6669385Z placeholder, value, value, (), {}
2022-11-23T01:32:31.6669612Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.5,), {}
2022-11-23T01:32:31.6669758Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:31.6669865Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:31.6669870Z 
2022-11-23T01:32:31.6670193Z [2022-11-23 01:29:57,214] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:31.6670376Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6670509Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6670608Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6670705Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6670803Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.6670901Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:31.6670993Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:31.6671087Z               14 CALL_METHOD              1
2022-11-23T01:32:31.6671180Z               16 CALL_METHOD              3
2022-11-23T01:32:31.6671260Z               18 RETURN_VALUE
2022-11-23T01:32:31.6671265Z 
2022-11-23T01:32:31.6671332Z  
2022-11-23T01:32:31.6671659Z [2022-11-23 01:29:57,214] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:31.6671776Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_594)
2022-11-23T01:32:31.6671876Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6671966Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6672059Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.6672156Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6672237Z               10 RETURN_VALUE
2022-11-23T01:32:31.6672242Z 
2022-11-23T01:32:31.6672308Z  
2022-11-23T01:32:31.6672493Z [2022-11-23 01:29:57,215] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6672569Z  - 
2022-11-23T01:32:31.6672692Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:31.6672762Z             {
2022-11-23T01:32:31.6672925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6673044Z                 'code': None,
2022-11-23T01:32:31.6673281Z                 'obj_weakref': <weakref at 0x7f2022f7b1f0; to 'Tensor' at 0x7f201e6b89a0>
2022-11-23T01:32:31.6673606Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6673696Z             }
2022-11-23T01:32:31.6673759Z             
2022-11-23T01:32:31.6673837Z  - 
2022-11-23T01:32:31.6673976Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:31.6674044Z             {
2022-11-23T01:32:31.6674204Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6674322Z                 'code': None,
2022-11-23T01:32:31.6674561Z                 'obj_weakref': <weakref at 0x7f201e20dfd0; to 'Tensor' at 0x7f1ff81502c0>
2022-11-23T01:32:31.6674836Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6674906Z             }
2022-11-23T01:32:31.6674975Z             
2022-11-23T01:32:31.6675053Z  - 
2022-11-23T01:32:31.6675202Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6675273Z             {
2022-11-23T01:32:31.6675406Z                 'guard_types': None,
2022-11-23T01:32:31.6675520Z                 'code': None,
2022-11-23T01:32:31.6675654Z                 'obj_weakref': None
2022-11-23T01:32:31.6675788Z                 'guarded_class': None
2022-11-23T01:32:31.6675855Z             }
2022-11-23T01:32:31.6675923Z             
2022-11-23T01:32:31.6676000Z  - 
2022-11-23T01:32:31.6676140Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6676206Z             {
2022-11-23T01:32:31.6676339Z                 'guard_types': None,
2022-11-23T01:32:31.6676455Z                 'code': None,
2022-11-23T01:32:31.6676588Z                 'obj_weakref': None
2022-11-23T01:32:31.6676723Z                 'guarded_class': None
2022-11-23T01:32:31.6676790Z             }
2022-11-23T01:32:31.6676850Z             
2022-11-23T01:32:31.6677147Z [2022-11-23 01:29:57,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 577
2022-11-23T01:32:31.6677427Z [2022-11-23 01:29:57,228] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6677844Z [2022-11-23 01:29:57,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4x/c4xte3mdcg6oftrpwjiug7hehbsb43sf5hevhsffruaeug7wxv6b.py
2022-11-23T01:32:31.6678146Z [2022-11-23 01:29:57,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 577
2022-11-23T01:32:31.6678414Z [2022-11-23 01:29:57,419] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.6678773Z [2022-11-23 01:29:57,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:32:31.6679018Z [2022-11-23 01:29:57,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6679379Z [2022-11-23 01:29:57,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6679686Z [2022-11-23 01:29:57,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:31.6680016Z [2022-11-23 01:29:57,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:31.6680388Z [2022-11-23 01:29:57,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6680937Z [2022-11-23 01:29:57,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6681436Z [2022-11-23 01:29:57,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6682010Z [2022-11-23 01:29:57,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.6682428Z [2022-11-23 01:29:57,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6682709Z [2022-11-23 01:29:57,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.6682979Z [2022-11-23 01:29:57,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.6683255Z [2022-11-23 01:29:57,429] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.6683525Z [2022-11-23 01:29:57,431] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.6683742Z [2022-11-23 01:29:57,432] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6683890Z  __compiled_fn_595 <eval_with_key>.3689 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6683991Z placeholder, mask, mask, (), {}
2022-11-23T01:32:31.6684093Z placeholder, value, value, (), {}
2022-11-23T01:32:31.6684349Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (3.5,), {}
2022-11-23T01:32:31.6684504Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:31.6684623Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:31.6684629Z 
2022-11-23T01:32:31.6685004Z [2022-11-23 01:29:57,432] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:31.6685107Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6685212Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:31.6685316Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6685418Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6685518Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.6685623Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:31.6685723Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:31.6685819Z               14 CALL_METHOD              1
2022-11-23T01:32:31.6685915Z               16 CALL_METHOD              3
2022-11-23T01:32:31.6685990Z               18 RETURN_VALUE
2022-11-23T01:32:31.6685995Z 
2022-11-23T01:32:31.6686060Z  
2022-11-23T01:32:31.6686429Z [2022-11-23 01:29:57,432] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:31.6686549Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_595)
2022-11-23T01:32:31.6686648Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:31.6686749Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:31.6686850Z                6 CALL_FUNCTION            2
2022-11-23T01:32:31.6686943Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.6687024Z               10 RETURN_VALUE
2022-11-23T01:32:31.6687029Z 
2022-11-23T01:32:31.6687093Z  
2022-11-23T01:32:31.6687298Z [2022-11-23 01:29:57,432] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6687374Z  - 
2022-11-23T01:32:31.6687514Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:31.6687583Z             {
2022-11-23T01:32:31.6687723Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6687831Z                 'code': None,
2022-11-23T01:32:31.6688042Z                 'obj_weakref': <weakref at 0x7f201e3c02c0; to 'Tensor' at 0x7f202328b600>
2022-11-23T01:32:31.6688290Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6688359Z             }
2022-11-23T01:32:31.6688456Z             
2022-11-23T01:32:31.6688532Z  - 
2022-11-23T01:32:31.6688672Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:31.6688741Z             {
2022-11-23T01:32:31.6688887Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6688998Z                 'code': None,
2022-11-23T01:32:31.6689207Z                 'obj_weakref': <weakref at 0x7f201e3c2f20; to 'Tensor' at 0x7f2115a8a520>
2022-11-23T01:32:31.6689457Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6689524Z             }
2022-11-23T01:32:31.6689590Z             
2022-11-23T01:32:31.6689657Z  - 
2022-11-23T01:32:31.6689791Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6689860Z             {
2022-11-23T01:32:31.6689986Z                 'guard_types': None,
2022-11-23T01:32:31.6690095Z                 'code': None,
2022-11-23T01:32:31.6690217Z                 'obj_weakref': None
2022-11-23T01:32:31.6690336Z                 'guarded_class': None
2022-11-23T01:32:31.6690404Z             }
2022-11-23T01:32:31.6690473Z             
2022-11-23T01:32:31.6690547Z  - 
2022-11-23T01:32:31.6690682Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6690754Z             {
2022-11-23T01:32:31.6690879Z                 'guard_types': None,
2022-11-23T01:32:31.6690981Z                 'code': None,
2022-11-23T01:32:31.6691103Z                 'obj_weakref': None
2022-11-23T01:32:31.6691227Z                 'guarded_class': None
2022-11-23T01:32:31.6691295Z             }
2022-11-23T01:32:31.6691364Z             
2022-11-23T01:32:31.6691623Z [2022-11-23 01:29:57,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 578
2022-11-23T01:32:31.6691871Z [2022-11-23 01:29:57,445] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.6692236Z [2022-11-23 01:29:57,513] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pd/cpdckatzxxxdjdwltnrjy4xu4kn4jnvnjovxoiweprd42zsgtpae.py
2022-11-23T01:32:31.6692542Z [2022-11-23 01:29:57,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 578
2022-11-23T01:32:31.6692549Z 
2022-11-23T01:32:31.6692658Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6692731Z import torch
2022-11-23T01:32:31.6692804Z import random
2022-11-23T01:32:31.6692927Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6693055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6693061Z 
2022-11-23T01:32:31.6693144Z aten = torch.ops.aten
2022-11-23T01:32:31.6693277Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6693376Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6693381Z 
2022-11-23T01:32:31.6693456Z import triton
2022-11-23T01:32:31.6693549Z import triton.language as tl
2022-11-23T01:32:31.6693678Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6693822Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6693830Z 
2022-11-23T01:32:31.6693835Z 
2022-11-23T01:32:31.6694051Z triton_fused__to_copy_1_where__to_copy_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:31.6694125Z import triton
2022-11-23T01:32:31.6694211Z import triton.language as tl
2022-11-23T01:32:31.6694327Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6694432Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6694568Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6694695Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6694700Z 
2022-11-23T01:32:31.6695085Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i1', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6695160Z @triton.jit
2022-11-23T01:32:31.6695338Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6695408Z     xnumel = 256
2022-11-23T01:32:31.6695525Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6695658Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6695741Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6695817Z     x0 = xindex % 16
2022-11-23T01:32:31.6695888Z     x2 = xindex
2022-11-23T01:32:31.6695985Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6696097Z     tmp3 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:31.6696170Z     tmp1 = 3.5
2022-11-23T01:32:31.6696258Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:31.6696354Z     tmp4 = tl.where(tmp0, tmp2, tmp3)
2022-11-23T01:32:31.6696489Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.6696574Z ''')
2022-11-23T01:32:31.6696580Z 
2022-11-23T01:32:31.6696585Z 
2022-11-23T01:32:31.6696677Z async_compile.wait(globals())
2022-11-23T01:32:31.6696755Z del async_compile
2022-11-23T01:32:31.6696763Z 
2022-11-23T01:32:31.6696831Z def call(args):
2022-11-23T01:32:31.6696916Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6696990Z     args.clear()
2022-11-23T01:32:31.6697193Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6697282Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6697468Z     triton_fused__to_copy_1_where__to_copy_lift_fresh_copy0.run(arg0_1, arg1_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6697542Z     del arg0_1
2022-11-23T01:32:31.6697608Z     del arg1_1
2022-11-23T01:32:31.6697682Z     return (buf0, )
2022-11-23T01:32:31.6697687Z 
2022-11-23T01:32:31.6697692Z 
2022-11-23T01:32:31.6697772Z if __name__ == "__main__":
2022-11-23T01:32:31.6697892Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6698021Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6698216Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6698422Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6698545Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6698551Z 
2022-11-23T01:32:31.6698555Z 
2022-11-23T01:32:31.6698646Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6698721Z import torch
2022-11-23T01:32:31.6698923Z import random
2022-11-23T01:32:31.6699049Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6699174Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6699179Z 
2022-11-23T01:32:31.6699261Z aten = torch.ops.aten
2022-11-23T01:32:31.6699401Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6699497Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6699502Z 
2022-11-23T01:32:31.6699570Z import triton
2022-11-23T01:32:31.6699662Z import triton.language as tl
2022-11-23T01:32:31.6699788Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6699932Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6699941Z 
2022-11-23T01:32:31.6699945Z 
2022-11-23T01:32:31.6700164Z triton_fused__to_copy_1__to_copy_lift_fresh_copy_where0 = async_compile.triton('''
2022-11-23T01:32:31.6700238Z import triton
2022-11-23T01:32:31.6700331Z import triton.language as tl
2022-11-23T01:32:31.6700439Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6700546Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6700680Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6700804Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6700810Z 
2022-11-23T01:32:31.6701191Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*i1', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6701264Z @triton.jit
2022-11-23T01:32:31.6701452Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6701562Z     xnumel = 256
2022-11-23T01:32:31.6701655Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6701787Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6701872Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6701946Z     x0 = xindex % 16
2022-11-23T01:32:31.6702018Z     x2 = xindex
2022-11-23T01:32:31.6702114Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6702211Z     tmp3 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:31.6702277Z     tmp1 = 3.5
2022-11-23T01:32:31.6702362Z     tmp2 = tmp1.to(tl.int64)
2022-11-23T01:32:31.6702459Z     tmp4 = tl.where(tmp0, tmp2, tmp3)
2022-11-23T01:32:31.6702594Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.6702681Z ''')
2022-11-23T01:32:31.6702687Z 
2022-11-23T01:32:31.6702691Z 
2022-11-23T01:32:31.6702784Z async_compile.wait(globals())
2022-11-23T01:32:31.6702864Z del async_compile
2022-11-23T01:32:31.6702869Z 
2022-11-23T01:32:31.6702949Z def call(args):
2022-11-23T01:32:31.6703021Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6703095Z     args.clear()
2022-11-23T01:32:31.6703293Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6703386Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6703567Z     triton_fused__to_copy_1__to_copy_lift_fresh_copy_where0.run(arg0_1, arg1_1, buf0, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.6703641Z     del arg0_1
2022-11-23T01:32:31.6703713Z     del arg1_1
2022-11-23T01:32:31.6703782Z     return (buf0, )
2022-11-23T01:32:31.6703787Z 
2022-11-23T01:32:31.6703801Z 
2022-11-23T01:32:31.6703874Z if __name__ == "__main__":
2022-11-23T01:32:31.6703993Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6704122Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6704317Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:31.6704518Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6704642Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6704647Z 
2022-11-23T01:32:31.6704719Z ok (0.436s)
2022-11-23T01:32:31.6705015Z   test_max_min_cuda (__main__.CudaTests) ... [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6705329Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6705547Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6705803Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6706084Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6706402Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6706744Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6707065Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6707435Z [2022-11-23 01:29:57,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682> 
2022-11-23T01:32:31.6707536Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6707633Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T01:32:31.6707764Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6707863Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6707980Z               8 CALL_METHOD              2
2022-11-23T01:32:31.6708081Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6708186Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T01:32:31.6708280Z              14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6708372Z              16 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6708458Z              18 CALL_METHOD              2
2022-11-23T01:32:31.6708549Z              20 BUILD_TUPLE              2
2022-11-23T01:32:31.6708632Z              22 RETURN_VALUE
2022-11-23T01:32:31.6708698Z  
2022-11-23T01:32:31.6708703Z 
2022-11-23T01:32:31.6709019Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683
2022-11-23T01:32:31.6709243Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6709607Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6709929Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6710330Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6710741Z [2022-11-23 01:29:57,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6710990Z [2022-11-23 01:29:57,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6711384Z [2022-11-23 01:29:57,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6711732Z [2022-11-23 01:29:57,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6712099Z [2022-11-23 01:29:57,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6712498Z [2022-11-23 01:29:57,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6712773Z [2022-11-23 01:29:57,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6713023Z [2022-11-23 01:29:57,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6713397Z [2022-11-23 01:29:57,641] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682>
2022-11-23T01:32:31.6713648Z [2022-11-23 01:29:57,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6713887Z [2022-11-23 01:29:57,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6714138Z [2022-11-23 01:29:57,642] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6714393Z [2022-11-23 01:29:57,645] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6714619Z [2022-11-23 01:29:57,645] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6714763Z  __compiled_fn_596 <eval_with_key>.3695 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6714880Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6714978Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6715224Z call_function, maximum, <built-in method maximum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6715471Z call_function, minimum, <built-in method minimum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6715583Z output, output, output, ((maximum, minimum),), {}
2022-11-23T01:32:31.6715596Z 
2022-11-23T01:32:31.6715920Z [2022-11-23 01:29:57,646] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6716021Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6716119Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6716213Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6716313Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6716408Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6716502Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6716575Z              12 RETURN_VALUE
2022-11-23T01:32:31.6716589Z 
2022-11-23T01:32:31.6716649Z  
2022-11-23T01:32:31.6716972Z [2022-11-23 01:29:57,646] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6717089Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_596)
2022-11-23T01:32:31.6717186Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6717282Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6717363Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6717458Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6717545Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6717630Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6717728Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6717845Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6717953Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6718049Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6718130Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6718232Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6718327Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6718408Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6718502Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.6718582Z              32 RETURN_VALUE
2022-11-23T01:32:31.6718587Z 
2022-11-23T01:32:31.6718653Z  
2022-11-23T01:32:31.6718837Z [2022-11-23 01:29:57,646] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6718906Z  - 
2022-11-23T01:32:31.6719029Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6719102Z             {
2022-11-23T01:32:31.6719249Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6719438Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6719561Z                 'obj_weakref': None
2022-11-23T01:32:31.6719784Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6719847Z             }
2022-11-23T01:32:31.6719916Z             
2022-11-23T01:32:31.6719992Z  - 
2022-11-23T01:32:31.6720119Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6720187Z             {
2022-11-23T01:32:31.6720335Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6720447Z                 'code': None,
2022-11-23T01:32:31.6720649Z                 'obj_weakref': <weakref at 0x7f1ff8169670; to 'Tensor' at 0x7f2115a8a520>
2022-11-23T01:32:31.6720933Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6721006Z             }
2022-11-23T01:32:31.6721097Z             
2022-11-23T01:32:31.6721171Z  - 
2022-11-23T01:32:31.6721299Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6721369Z             {
2022-11-23T01:32:31.6721508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6721619Z                 'code': None,
2022-11-23T01:32:31.6721830Z                 'obj_weakref': <weakref at 0x7f1ff816be70; to 'Tensor' at 0x7f21276a7150>
2022-11-23T01:32:31.6722075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6722143Z             }
2022-11-23T01:32:31.6722209Z             
2022-11-23T01:32:31.6722283Z  - 
2022-11-23T01:32:31.6722411Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6722479Z             {
2022-11-23T01:32:31.6722619Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6722795Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6722922Z                 'obj_weakref': None
2022-11-23T01:32:31.6723150Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6723220Z             }
2022-11-23T01:32:31.6723282Z             
2022-11-23T01:32:31.6723357Z  - 
2022-11-23T01:32:31.6723482Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6723550Z             {
2022-11-23T01:32:31.6723690Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6723908Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6724029Z                 'obj_weakref': None
2022-11-23T01:32:31.6724244Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6724310Z             }
2022-11-23T01:32:31.6724377Z             
2022-11-23T01:32:31.6724451Z  - 
2022-11-23T01:32:31.6724591Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6724660Z             {
2022-11-23T01:32:31.6724790Z                 'guard_types': None,
2022-11-23T01:32:31.6724894Z                 'code': None,
2022-11-23T01:32:31.6725016Z                 'obj_weakref': None
2022-11-23T01:32:31.6725142Z                 'guarded_class': None
2022-11-23T01:32:31.6725210Z             }
2022-11-23T01:32:31.6725279Z             
2022-11-23T01:32:31.6725544Z [2022-11-23 01:29:57,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 579
2022-11-23T01:32:31.6725842Z [2022-11-23 01:29:57,657] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6726207Z [2022-11-23 01:29:57,722] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwtutvumqm5x7l4fla57gbxmtzyydl7isy56xg6cbpy53tb3nw4.py
2022-11-23T01:32:31.6726469Z [2022-11-23 01:29:57,723] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 579
2022-11-23T01:32:31.6726705Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6727021Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6727240Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6727492Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6727770Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6728092Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6728462Z [2022-11-23 01:29:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6728799Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6729165Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682> 
2022-11-23T01:32:31.6729261Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6729364Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T01:32:31.6729461Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6729558Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6729651Z               8 CALL_METHOD              2
2022-11-23T01:32:31.6729754Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.6729854Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T01:32:31.6729941Z              14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.6730035Z              16 LOAD_FAST                1 (b)
2022-11-23T01:32:31.6730126Z              18 CALL_METHOD              2
2022-11-23T01:32:31.6730218Z              20 BUILD_TUPLE              2
2022-11-23T01:32:31.6730298Z              22 RETURN_VALUE
2022-11-23T01:32:31.6730364Z  
2022-11-23T01:32:31.6730369Z 
2022-11-23T01:32:31.6730680Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683
2022-11-23T01:32:31.6730901Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.6731260Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6731582Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6731927Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6732304Z [2022-11-23 01:29:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6732552Z [2022-11-23 01:29:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.6732947Z [2022-11-23 01:29:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.6733292Z [2022-11-23 01:29:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.6733661Z [2022-11-23 01:29:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.6734068Z [2022-11-23 01:29:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6734338Z [2022-11-23 01:29:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.6734588Z [2022-11-23 01:29:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6734988Z [2022-11-23 01:29:57,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682>
2022-11-23T01:32:31.6735255Z [2022-11-23 01:29:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6735485Z [2022-11-23 01:29:57,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6735747Z [2022-11-23 01:29:57,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6735999Z [2022-11-23 01:29:57,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6736192Z [2022-11-23 01:29:57,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6736334Z  __compiled_fn_597 <eval_with_key>.3701 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6736427Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6736519Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.6736769Z call_function, maximum, <built-in method maximum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6737005Z call_function, minimum, <built-in method minimum of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.6737125Z output, output, output, ((maximum, minimum),), {}
2022-11-23T01:32:31.6737130Z 
2022-11-23T01:32:31.6737457Z [2022-11-23 01:29:57,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6737558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6737658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6737754Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6737853Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6737944Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6738031Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6738113Z              12 RETURN_VALUE
2022-11-23T01:32:31.6738121Z 
2022-11-23T01:32:31.6738187Z  
2022-11-23T01:32:31.6738507Z [2022-11-23 01:29:57,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6738625Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_597)
2022-11-23T01:32:31.6738725Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6738939Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6739024Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6739112Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6739208Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6739292Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.6739387Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.6739505Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6739614Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6739714Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6739791Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6739901Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6739997Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6740078Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.6740170Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.6740251Z              32 RETURN_VALUE
2022-11-23T01:32:31.6740257Z 
2022-11-23T01:32:31.6740322Z  
2022-11-23T01:32:31.6740504Z [2022-11-23 01:29:57,736] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6740580Z  - 
2022-11-23T01:32:31.6740706Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6740775Z             {
2022-11-23T01:32:31.6740920Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6741107Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.6741230Z                 'obj_weakref': None
2022-11-23T01:32:31.6741493Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6741590Z             }
2022-11-23T01:32:31.6741657Z             
2022-11-23T01:32:31.6741734Z  - 
2022-11-23T01:32:31.6741862Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6741931Z             {
2022-11-23T01:32:31.6742076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6742180Z                 'code': None,
2022-11-23T01:32:31.6742390Z                 'obj_weakref': <weakref at 0x7f207277c310; to 'Tensor' at 0x7f20606bbb00>
2022-11-23T01:32:31.6742639Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6742708Z             }
2022-11-23T01:32:31.6742776Z             
2022-11-23T01:32:31.6742852Z  - 
2022-11-23T01:32:31.6742979Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.6743041Z             {
2022-11-23T01:32:31.6743190Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6743301Z                 'code': None,
2022-11-23T01:32:31.6743511Z                 'obj_weakref': <weakref at 0x7f207277f380; to 'Tensor' at 0x7f20606bb4c0>
2022-11-23T01:32:31.6743758Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6743829Z             }
2022-11-23T01:32:31.6743897Z             
2022-11-23T01:32:31.6743965Z  - 
2022-11-23T01:32:31.6744098Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6744167Z             {
2022-11-23T01:32:31.6744304Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6744478Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6744601Z                 'obj_weakref': None
2022-11-23T01:32:31.6744835Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6744897Z             }
2022-11-23T01:32:31.6744968Z             
2022-11-23T01:32:31.6745042Z  - 
2022-11-23T01:32:31.6745173Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6745242Z             {
2022-11-23T01:32:31.6745380Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6745596Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6745711Z                 'obj_weakref': None
2022-11-23T01:32:31.6745934Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6746005Z             }
2022-11-23T01:32:31.6746074Z             
2022-11-23T01:32:31.6746149Z  - 
2022-11-23T01:32:31.6746287Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.6746357Z             {
2022-11-23T01:32:31.6746474Z                 'guard_types': None,
2022-11-23T01:32:31.6746586Z                 'code': None,
2022-11-23T01:32:31.6746708Z                 'obj_weakref': None
2022-11-23T01:32:31.6746834Z                 'guarded_class': None
2022-11-23T01:32:31.6746900Z             }
2022-11-23T01:32:31.6746971Z             
2022-11-23T01:32:31.6747232Z [2022-11-23 01:29:57,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 580
2022-11-23T01:32:31.6747517Z [2022-11-23 01:29:57,747] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6747875Z [2022-11-23 01:29:57,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ft/cftjokvfvtmuh73e2yet4oc7eyas72gehwxvzwoir6p77jxsj2jb.py
2022-11-23T01:32:31.6748139Z [2022-11-23 01:29:57,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 580
2022-11-23T01:32:31.6748144Z 
2022-11-23T01:32:31.6748246Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6748322Z import torch
2022-11-23T01:32:31.6748395Z import random
2022-11-23T01:32:31.6748517Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6748675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6748709Z 
2022-11-23T01:32:31.6748787Z aten = torch.ops.aten
2022-11-23T01:32:31.6748928Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6749026Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6749032Z 
2022-11-23T01:32:31.6749106Z import triton
2022-11-23T01:32:31.6749198Z import triton.language as tl
2022-11-23T01:32:31.6749330Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6749478Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6749483Z 
2022-11-23T01:32:31.6749488Z 
2022-11-23T01:32:31.6749667Z triton_fused_maximum_minimum0 = async_compile.triton('''
2022-11-23T01:32:31.6749736Z import triton
2022-11-23T01:32:31.6749829Z import triton.language as tl
2022-11-23T01:32:31.6749945Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6750051Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6750190Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6750394Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6750399Z 
2022-11-23T01:32:31.6750802Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6750876Z @triton.jit
2022-11-23T01:32:31.6751023Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6751100Z     xnumel = 8
2022-11-23T01:32:31.6751199Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6751331Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6751414Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6751486Z     x0 = xindex
2022-11-23T01:32:31.6751584Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.6751674Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.6751771Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:31.6751867Z     tmp3 = tl.minimum(tmp0, tmp1)
2022-11-23T01:32:31.6752006Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6752142Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6752228Z ''')
2022-11-23T01:32:31.6752234Z 
2022-11-23T01:32:31.6752238Z 
2022-11-23T01:32:31.6752332Z async_compile.wait(globals())
2022-11-23T01:32:31.6752412Z del async_compile
2022-11-23T01:32:31.6752418Z 
2022-11-23T01:32:31.6752486Z def call(args):
2022-11-23T01:32:31.6752568Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6752644Z     args.clear()
2022-11-23T01:32:31.6752840Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6753029Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6753120Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6753284Z     triton_fused_maximum_minimum0.run(arg0_1, arg1_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6753354Z     del arg0_1
2022-11-23T01:32:31.6753429Z     del arg1_1
2022-11-23T01:32:31.6753508Z     return (buf0, buf1, )
2022-11-23T01:32:31.6753514Z 
2022-11-23T01:32:31.6753518Z 
2022-11-23T01:32:31.6753599Z if __name__ == "__main__":
2022-11-23T01:32:31.6753720Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6753852Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6754047Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6754240Z     arg1_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6754353Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6754359Z 
2022-11-23T01:32:31.6754370Z 
2022-11-23T01:32:31.6754462Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6754539Z import torch
2022-11-23T01:32:31.6754613Z import random
2022-11-23T01:32:31.6754794Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6754938Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6754943Z 
2022-11-23T01:32:31.6755026Z aten = torch.ops.aten
2022-11-23T01:32:31.6755165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6755254Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6755259Z 
2022-11-23T01:32:31.6755335Z import triton
2022-11-23T01:32:31.6755428Z import triton.language as tl
2022-11-23T01:32:31.6755554Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6755695Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6755701Z 
2022-11-23T01:32:31.6755705Z 
2022-11-23T01:32:31.6755882Z triton_fused_minimum_maximum0 = async_compile.triton('''
2022-11-23T01:32:31.6755957Z import triton
2022-11-23T01:32:31.6756050Z import triton.language as tl
2022-11-23T01:32:31.6756156Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6756262Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6756399Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6756525Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6756530Z 
2022-11-23T01:32:31.6756920Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6756994Z @triton.jit
2022-11-23T01:32:31.6757145Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6757218Z     xnumel = 8
2022-11-23T01:32:31.6757309Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6757445Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6757530Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6757600Z     x0 = xindex
2022-11-23T01:32:31.6757719Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6757835Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.6757928Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:31.6758013Z     tmp3 = tl.minimum(tmp0, tmp1)
2022-11-23T01:32:31.6758148Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.6758280Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.6758365Z ''')
2022-11-23T01:32:31.6758371Z 
2022-11-23T01:32:31.6758375Z 
2022-11-23T01:32:31.6758466Z async_compile.wait(globals())
2022-11-23T01:32:31.6758542Z del async_compile
2022-11-23T01:32:31.6758547Z 
2022-11-23T01:32:31.6758622Z def call(args):
2022-11-23T01:32:31.6758701Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.6758769Z     args.clear()
2022-11-23T01:32:31.6758961Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6759152Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6759244Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6759408Z     triton_fused_minimum_maximum0.run(arg0_1, arg1_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.6759481Z     del arg0_1
2022-11-23T01:32:31.6759553Z     del arg1_1
2022-11-23T01:32:31.6759627Z     return (buf0, buf1, )
2022-11-23T01:32:31.6759632Z 
2022-11-23T01:32:31.6759637Z 
2022-11-23T01:32:31.6759718Z if __name__ == "__main__":
2022-11-23T01:32:31.6759838Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6759966Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6760160Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6760349Z     arg1_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6760469Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.6760474Z 
2022-11-23T01:32:31.6760548Z ok (0.192s)
2022-11-23T01:32:31.6760886Z   test_max_pool2d1_cuda (__main__.CudaTests) ... [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6761227Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6761446Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6761699Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6761977Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6762291Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6762634Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6762956Z [2022-11-23 01:29:57,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6763326Z [2022-11-23 01:29:57,830] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952> 
2022-11-23T01:32:31.6763431Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6763548Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6763644Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6763741Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6763836Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6763931Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6764029Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6764124Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6764210Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6764304Z               18 CALL_METHOD              3
2022-11-23T01:32:31.6764386Z               20 RETURN_VALUE
2022-11-23T01:32:31.6764453Z  
2022-11-23T01:32:31.6764458Z 
2022-11-23T01:32:31.6764769Z [2022-11-23 01:29:57,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953
2022-11-23T01:32:31.6764988Z [2022-11-23 01:29:57,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6765321Z [2022-11-23 01:29:57,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6765602Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6765903Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6766236Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6766608Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6766932Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6767319Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6767718Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6768094Z [2022-11-23 01:29:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6768344Z [2022-11-23 01:29:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6768719Z [2022-11-23 01:29:57,837] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952>
2022-11-23T01:32:31.6768965Z [2022-11-23 01:29:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6769205Z [2022-11-23 01:29:57,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6769462Z [2022-11-23 01:29:57,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6769713Z [2022-11-23 01:29:57,841] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6769898Z [2022-11-23 01:29:57,841] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6770038Z  __compiled_fn_598 <eval_with_key>.3707 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6770134Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6770296Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:31.6770518Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6770738Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6770858Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6770866Z 
2022-11-23T01:32:31.6771196Z [2022-11-23 01:29:57,841] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6771290Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6771391Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6771485Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6771582Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6771673Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6771767Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6771847Z              12 RETURN_VALUE
2022-11-23T01:32:31.6771853Z 
2022-11-23T01:32:31.6771919Z  
2022-11-23T01:32:31.6772235Z [2022-11-23 01:29:57,841] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6772356Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_598)
2022-11-23T01:32:31.6772454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6772550Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6772631Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6772725Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6772836Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6772939Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6773035Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6773117Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6773225Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6773320Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6773401Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6773496Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6773569Z              26 RETURN_VALUE
2022-11-23T01:32:31.6773608Z 
2022-11-23T01:32:31.6773685Z  
2022-11-23T01:32:31.6773874Z [2022-11-23 01:29:57,842] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6773949Z  - 
2022-11-23T01:32:31.6774074Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6774144Z             {
2022-11-23T01:32:31.6774291Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6774484Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6774602Z                 'obj_weakref': None
2022-11-23T01:32:31.6774829Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6774899Z             }
2022-11-23T01:32:31.6774969Z             
2022-11-23T01:32:31.6775044Z  - 
2022-11-23T01:32:31.6775173Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6775235Z             {
2022-11-23T01:32:31.6775382Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6775497Z                 'code': None,
2022-11-23T01:32:31.6775710Z                 'obj_weakref': <weakref at 0x7f20230d7ce0; to 'Tensor' at 0x7f20606bbb00>
2022-11-23T01:32:31.6775965Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6776032Z             }
2022-11-23T01:32:31.6776101Z             
2022-11-23T01:32:31.6776177Z  - 
2022-11-23T01:32:31.6776305Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6776374Z             {
2022-11-23T01:32:31.6776515Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6776690Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6776817Z                 'obj_weakref': None
2022-11-23T01:32:31.6777052Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6777122Z             }
2022-11-23T01:32:31.6777184Z             
2022-11-23T01:32:31.6777257Z  - 
2022-11-23T01:32:31.6777388Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6777459Z             {
2022-11-23T01:32:31.6777600Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6777821Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6777943Z                 'obj_weakref': None
2022-11-23T01:32:31.6778163Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6778232Z             }
2022-11-23T01:32:31.6778300Z             
2022-11-23T01:32:31.6778376Z  - 
2022-11-23T01:32:31.6778513Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6778579Z             {
2022-11-23T01:32:31.6778698Z                 'guard_types': None,
2022-11-23T01:32:31.6778933Z                 'code': None,
2022-11-23T01:32:31.6779064Z                 'obj_weakref': None
2022-11-23T01:32:31.6779189Z                 'guarded_class': None
2022-11-23T01:32:31.6779258Z             }
2022-11-23T01:32:31.6779333Z             
2022-11-23T01:32:31.6779600Z [2022-11-23 01:29:57,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 581
2022-11-23T01:32:31.6779897Z [2022-11-23 01:29:57,922] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6780256Z [2022-11-23 01:29:58,178] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwtwxdhwi2nwtevizzeg3rbes6o2bf4qrmvrxlpgg3cguik5j5gd.py
2022-11-23T01:32:31.6780522Z [2022-11-23 01:29:58,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 581
2022-11-23T01:32:31.6780763Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6781082Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6781349Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6781633Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6781911Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6782231Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6782580Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6782900Z [2022-11-23 01:29:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6783272Z [2022-11-23 01:29:58,182] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952> 
2022-11-23T01:32:31.6783376Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6783503Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6783600Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6783695Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6783791Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6783887Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6783978Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6784065Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6784154Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6784251Z               18 CALL_METHOD              3
2022-11-23T01:32:31.6784332Z               20 RETURN_VALUE
2022-11-23T01:32:31.6784398Z  
2022-11-23T01:32:31.6784406Z 
2022-11-23T01:32:31.6784728Z [2022-11-23 01:29:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953
2022-11-23T01:32:31.6784958Z [2022-11-23 01:29:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6785292Z [2022-11-23 01:29:58,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6785566Z [2022-11-23 01:29:58,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6785875Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6786221Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6786600Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6786931Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6787294Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6787696Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6788080Z [2022-11-23 01:29:58,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6788342Z [2022-11-23 01:29:58,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6788720Z [2022-11-23 01:29:58,189] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952>
2022-11-23T01:32:31.6788966Z [2022-11-23 01:29:58,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6789201Z [2022-11-23 01:29:58,189] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6789452Z [2022-11-23 01:29:58,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6789708Z [2022-11-23 01:29:58,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6789903Z [2022-11-23 01:29:58,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6790047Z  __compiled_fn_599 <eval_with_key>.3713 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6790142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6790378Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:31.6790632Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6790859Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6790971Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6790977Z 
2022-11-23T01:32:31.6791307Z [2022-11-23 01:29:58,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6791407Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6791508Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6791605Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6791704Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6791798Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6791891Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6791966Z              12 RETURN_VALUE
2022-11-23T01:32:31.6791971Z 
2022-11-23T01:32:31.6792035Z  
2022-11-23T01:32:31.6792363Z [2022-11-23 01:29:58,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6792483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_599)
2022-11-23T01:32:31.6792581Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6792678Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6792759Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6792852Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6792958Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6793069Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6793164Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6793247Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6793357Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6793453Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6793532Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6793619Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6793701Z              26 RETURN_VALUE
2022-11-23T01:32:31.6793707Z 
2022-11-23T01:32:31.6793772Z  
2022-11-23T01:32:31.6793963Z [2022-11-23 01:29:58,194] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6794038Z  - 
2022-11-23T01:32:31.6794168Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6794237Z             {
2022-11-23T01:32:31.6794410Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6794602Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6794757Z                 'obj_weakref': None
2022-11-23T01:32:31.6794988Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6795056Z             }
2022-11-23T01:32:31.6795125Z             
2022-11-23T01:32:31.6795200Z  - 
2022-11-23T01:32:31.6795322Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6795390Z             {
2022-11-23T01:32:31.6795538Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6795652Z                 'code': None,
2022-11-23T01:32:31.6795862Z                 'obj_weakref': <weakref at 0x7f201e323650; to 'Tensor' at 0x7f201e20c450>
2022-11-23T01:32:31.6796111Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6796183Z             }
2022-11-23T01:32:31.6796245Z             
2022-11-23T01:32:31.6796322Z  - 
2022-11-23T01:32:31.6796458Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6796528Z             {
2022-11-23T01:32:31.6796667Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6796839Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6796966Z                 'obj_weakref': None
2022-11-23T01:32:31.6797186Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6797255Z             }
2022-11-23T01:32:31.6797324Z             
2022-11-23T01:32:31.6797400Z  - 
2022-11-23T01:32:31.6797525Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6797595Z             {
2022-11-23T01:32:31.6797735Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6797946Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6798071Z                 'obj_weakref': None
2022-11-23T01:32:31.6798297Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6798368Z             }
2022-11-23T01:32:31.6798437Z             
2022-11-23T01:32:31.6798511Z  - 
2022-11-23T01:32:31.6798646Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6798707Z             {
2022-11-23T01:32:31.6798831Z                 'guard_types': None,
2022-11-23T01:32:31.6798942Z                 'code': None,
2022-11-23T01:32:31.6799066Z                 'obj_weakref': None
2022-11-23T01:32:31.6799195Z                 'guarded_class': None
2022-11-23T01:32:31.6799263Z             }
2022-11-23T01:32:31.6799332Z             
2022-11-23T01:32:31.6799587Z [2022-11-23 01:29:58,198] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 582
2022-11-23T01:32:31.6799881Z [2022-11-23 01:29:58,242] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6800244Z [2022-11-23 01:29:58,399] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cph3zbn4kjqp3ifrzszrjkhddicuqd4kplydtcl525afhdtlkyla.py
2022-11-23T01:32:31.6800512Z [2022-11-23 01:29:58,399] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 582
2022-11-23T01:32:31.6800518Z 
2022-11-23T01:32:31.6800620Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6800695Z import torch
2022-11-23T01:32:31.6800774Z import random
2022-11-23T01:32:31.6800899Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6801019Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6801025Z 
2022-11-23T01:32:31.6801106Z aten = torch.ops.aten
2022-11-23T01:32:31.6801245Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6801343Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6801349Z 
2022-11-23T01:32:31.6801425Z import triton
2022-11-23T01:32:31.6801517Z import triton.language as tl
2022-11-23T01:32:31.6801676Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6801841Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6801853Z 
2022-11-23T01:32:31.6801858Z 
2022-11-23T01:32:31.6802041Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6802117Z import triton
2022-11-23T01:32:31.6802210Z import triton.language as tl
2022-11-23T01:32:31.6802325Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6802427Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6802560Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6802688Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6802694Z 
2022-11-23T01:32:31.6803083Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6803153Z @triton.jit
2022-11-23T01:32:31.6803300Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6803376Z     xnumel = 392
2022-11-23T01:32:31.6803475Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6803605Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6803690Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6803765Z     x0 = xindex % 7
2022-11-23T01:32:31.6803842Z     x1 = (xindex // 7) % 7
2022-11-23T01:32:31.6803923Z     x2 = (xindex // 49)
2022-11-23T01:32:31.6803997Z     x3 = xindex
2022-11-23T01:32:31.6804115Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804239Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804357Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804478Z     tmp12 = tl.load(in_ptr0 + (16 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804594Z     tmp17 = tl.load(in_ptr0 + (17 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804718Z     tmp22 = tl.load(in_ptr0 + (18 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804837Z     tmp27 = tl.load(in_ptr0 + (32 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6804954Z     tmp32 = tl.load(in_ptr0 + (33 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6805066Z     tmp37 = tl.load(in_ptr0 + (34 + (2*x0) + (32*x1) + (256*x2)), xmask)
2022-11-23T01:32:31.6805145Z     tmp1 = (2*x0) + (32*x1)
2022-11-23T01:32:31.6805227Z     tmp3 = 1 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6805306Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.6805398Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.6805492Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.6805578Z     tmp8 = 2 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6805656Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.6805753Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.6805848Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.6805932Z     tmp13 = 16 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6806008Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.6806108Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.6806205Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.6806287Z     tmp18 = 17 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6806372Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.6806470Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.6806558Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.6806639Z     tmp23 = 18 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6806720Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.6806817Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.6806909Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.6806991Z     tmp28 = 32 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6807072Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.6807162Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.6807256Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.6807366Z     tmp33 = 33 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6807467Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.6807564Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.6807661Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.6807741Z     tmp38 = 34 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6807815Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.6807911Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.6808005Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.6808145Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.6808280Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.6808370Z ''')
2022-11-23T01:32:31.6808376Z 
2022-11-23T01:32:31.6808381Z 
2022-11-23T01:32:31.6808475Z async_compile.wait(globals())
2022-11-23T01:32:31.6808551Z del async_compile
2022-11-23T01:32:31.6808556Z 
2022-11-23T01:32:31.6808625Z def call(args):
2022-11-23T01:32:31.6808701Z     arg0_1, = args
2022-11-23T01:32:31.6808778Z     args.clear()
2022-11-23T01:32:31.6808998Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6809208Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6809301Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6809471Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 392, grid=grid(392), stream=stream0)
2022-11-23T01:32:31.6809538Z     del arg0_1
2022-11-23T01:32:31.6809621Z     return (buf0, buf1, )
2022-11-23T01:32:31.6809626Z 
2022-11-23T01:32:31.6809630Z 
2022-11-23T01:32:31.6809711Z if __name__ == "__main__":
2022-11-23T01:32:31.6809832Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6809963Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6810185Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6810303Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6810311Z 
2022-11-23T01:32:31.6810316Z 
2022-11-23T01:32:31.6810414Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6810490Z import torch
2022-11-23T01:32:31.6810558Z import random
2022-11-23T01:32:31.6810683Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6810811Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6810816Z 
2022-11-23T01:32:31.6810897Z aten = torch.ops.aten
2022-11-23T01:32:31.6811033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6811130Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6811136Z 
2022-11-23T01:32:31.6811210Z import triton
2022-11-23T01:32:31.6811297Z import triton.language as tl
2022-11-23T01:32:31.6811428Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6811569Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6811575Z 
2022-11-23T01:32:31.6811580Z 
2022-11-23T01:32:31.6811775Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6811853Z import triton
2022-11-23T01:32:31.6811944Z import triton.language as tl
2022-11-23T01:32:31.6812060Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6812162Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6812292Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6812419Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6812425Z 
2022-11-23T01:32:31.6812809Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.6812885Z @triton.jit
2022-11-23T01:32:31.6813029Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6813105Z     xnumel = 392
2022-11-23T01:32:31.6813234Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6813369Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6813467Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6813544Z     x0 = xindex % 7
2022-11-23T01:32:31.6813626Z     x1 = (xindex // 7) % 7
2022-11-23T01:32:31.6813704Z     x2 = (xindex // 49)
2022-11-23T01:32:31.6813776Z     x3 = xindex
2022-11-23T01:32:31.6813911Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814047Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814171Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814305Z     tmp12 = tl.load(in_ptr0 + (16 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814436Z     tmp17 = tl.load(in_ptr0 + (17 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814571Z     tmp22 = tl.load(in_ptr0 + (18 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814706Z     tmp27 = tl.load(in_ptr0 + (32 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814839Z     tmp32 = tl.load(in_ptr0 + (33 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6814965Z     tmp37 = tl.load(in_ptr0 + (34 + (2*x0) + (32*x1) + (256*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6815045Z     tmp1 = (2*x0) + (32*x1)
2022-11-23T01:32:31.6815120Z     tmp3 = 1 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6815202Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.6815302Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.6815396Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.6815478Z     tmp8 = 2 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6815556Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.6815651Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.6815737Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.6815818Z     tmp13 = 16 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6815903Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.6816004Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.6816099Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.6816181Z     tmp18 = 17 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6816260Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.6816351Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.6816444Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.6816527Z     tmp23 = 18 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6816607Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.6816708Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.6816800Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.6816884Z     tmp28 = 32 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6816958Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.6817053Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.6817147Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.6817230Z     tmp33 = 33 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6817312Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.6817408Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.6817498Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.6817583Z     tmp38 = 34 + (2*x0) + (32*x1)
2022-11-23T01:32:31.6817663Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.6817759Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.6817853Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.6817992Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.6818128Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.6818217Z ''')
2022-11-23T01:32:31.6818222Z 
2022-11-23T01:32:31.6818227Z 
2022-11-23T01:32:31.6818314Z async_compile.wait(globals())
2022-11-23T01:32:31.6818393Z del async_compile
2022-11-23T01:32:31.6818398Z 
2022-11-23T01:32:31.6818473Z def call(args):
2022-11-23T01:32:31.6818546Z     arg0_1, = args
2022-11-23T01:32:31.6818622Z     args.clear()
2022-11-23T01:32:31.6818998Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6819239Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6819324Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6819499Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 392, grid=grid(392), stream=stream0)
2022-11-23T01:32:31.6819573Z     del arg0_1
2022-11-23T01:32:31.6819656Z     return (buf0, buf1, )
2022-11-23T01:32:31.6819661Z 
2022-11-23T01:32:31.6819665Z 
2022-11-23T01:32:31.6819747Z if __name__ == "__main__":
2022-11-23T01:32:31.6819864Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6819995Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6820216Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6820323Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6820337Z 
2022-11-23T01:32:31.6820405Z ok (0.574s)
2022-11-23T01:32:31.6820718Z   test_max_pool2d2_cuda (__main__.CudaTests) ... [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6821030Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6821252Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6821505Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6821783Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6822100Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6822441Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6822764Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6823134Z [2022-11-23 01:29:58,422] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961> 
2022-11-23T01:32:31.6823230Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6823353Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6823451Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6823547Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6823642Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6823738Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6823839Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6823926Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6824018Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6824113Z               18 CALL_METHOD              3
2022-11-23T01:32:31.6824193Z               20 RETURN_VALUE
2022-11-23T01:32:31.6824260Z  
2022-11-23T01:32:31.6824265Z 
2022-11-23T01:32:31.6824578Z [2022-11-23 01:29:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962
2022-11-23T01:32:31.6824797Z [2022-11-23 01:29:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6825123Z [2022-11-23 01:29:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6825419Z [2022-11-23 01:29:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6825748Z [2022-11-23 01:29:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6826087Z [2022-11-23 01:29:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6826461Z [2022-11-23 01:29:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6826788Z [2022-11-23 01:29:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6827148Z [2022-11-23 01:29:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6827556Z [2022-11-23 01:29:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6827904Z [2022-11-23 01:29:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6828148Z [2022-11-23 01:29:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6828518Z [2022-11-23 01:29:58,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961>
2022-11-23T01:32:31.6828764Z [2022-11-23 01:29:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6829002Z [2022-11-23 01:29:58,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6829252Z [2022-11-23 01:29:58,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6829504Z [2022-11-23 01:29:58,434] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6829699Z [2022-11-23 01:29:58,434] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6829840Z  __compiled_fn_600 <eval_with_key>.3719 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6829933Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6830098Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:31.6830393Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6830654Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6830767Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6830784Z 
2022-11-23T01:32:31.6831106Z [2022-11-23 01:29:58,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6831208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6831303Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6831397Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6831494Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6831586Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6831679Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6831755Z              12 RETURN_VALUE
2022-11-23T01:32:31.6831766Z 
2022-11-23T01:32:31.6831826Z  
2022-11-23T01:32:31.6832183Z [2022-11-23 01:29:58,434] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6832321Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_600)
2022-11-23T01:32:31.6832418Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6832515Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6832595Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6832686Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6832790Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6832899Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6832996Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6833077Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6833183Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6833278Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6833361Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6833449Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6833531Z              26 RETURN_VALUE
2022-11-23T01:32:31.6833539Z 
2022-11-23T01:32:31.6833603Z  
2022-11-23T01:32:31.6833794Z [2022-11-23 01:29:58,435] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6833870Z  - 
2022-11-23T01:32:31.6833996Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6834066Z             {
2022-11-23T01:32:31.6834206Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6834398Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6834521Z                 'obj_weakref': None
2022-11-23T01:32:31.6834750Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6834819Z             }
2022-11-23T01:32:31.6834887Z             
2022-11-23T01:32:31.6834964Z  - 
2022-11-23T01:32:31.6835086Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6835153Z             {
2022-11-23T01:32:31.6835307Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6835424Z                 'code': None,
2022-11-23T01:32:31.6835639Z                 'obj_weakref': <weakref at 0x7f1ff81422a0; to 'Tensor' at 0x7f1fe81b4720>
2022-11-23T01:32:31.6835894Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6835963Z             }
2022-11-23T01:32:31.6836025Z             
2022-11-23T01:32:31.6836100Z  - 
2022-11-23T01:32:31.6836238Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6836307Z             {
2022-11-23T01:32:31.6836447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6836625Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6836748Z                 'obj_weakref': None
2022-11-23T01:32:31.6836975Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6837044Z             }
2022-11-23T01:32:31.6837116Z             
2022-11-23T01:32:31.6837189Z  - 
2022-11-23T01:32:31.6837318Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6837386Z             {
2022-11-23T01:32:31.6837528Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6837740Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6837864Z                 'obj_weakref': None
2022-11-23T01:32:31.6838091Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6838160Z             }
2022-11-23T01:32:31.6838228Z             
2022-11-23T01:32:31.6838302Z  - 
2022-11-23T01:32:31.6838438Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6838501Z             {
2022-11-23T01:32:31.6838627Z                 'guard_types': None,
2022-11-23T01:32:31.6838740Z                 'code': None,
2022-11-23T01:32:31.6838862Z                 'obj_weakref': None
2022-11-23T01:32:31.6839021Z                 'guarded_class': None
2022-11-23T01:32:31.6839093Z             }
2022-11-23T01:32:31.6839194Z             
2022-11-23T01:32:31.6839454Z [2022-11-23 01:29:58,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 583
2022-11-23T01:32:31.6839749Z [2022-11-23 01:29:58,514] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6840117Z [2022-11-23 01:29:58,672] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wv/cwvvxhzrogrkf2zptecudw4gdzaomhcvlzerg2bpkyhm24pqn67e.py
2022-11-23T01:32:31.6840381Z [2022-11-23 01:29:58,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 583
2022-11-23T01:32:31.6840618Z [2022-11-23 01:29:58,676] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6840937Z [2022-11-23 01:29:58,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6841155Z [2022-11-23 01:29:58,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6841411Z [2022-11-23 01:29:58,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6841686Z [2022-11-23 01:29:58,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6842007Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6842345Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6842671Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6843047Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961> 
2022-11-23T01:32:31.6843152Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6843276Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6843375Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6843474Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6843570Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6843657Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6843751Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6843844Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6843936Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6844030Z               18 CALL_METHOD              3
2022-11-23T01:32:31.6844114Z               20 RETURN_VALUE
2022-11-23T01:32:31.6844181Z  
2022-11-23T01:32:31.6844189Z 
2022-11-23T01:32:31.6844509Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962
2022-11-23T01:32:31.6844725Z [2022-11-23 01:29:58,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6845060Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6845342Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6845653Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6846023Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6846423Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6846746Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6847102Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6847496Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6847851Z [2022-11-23 01:29:58,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6848100Z [2022-11-23 01:29:58,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6848474Z [2022-11-23 01:29:58,684] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961>
2022-11-23T01:32:31.6848713Z [2022-11-23 01:29:58,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6848949Z [2022-11-23 01:29:58,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6849203Z [2022-11-23 01:29:58,686] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6849453Z [2022-11-23 01:29:58,688] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6849648Z [2022-11-23 01:29:58,688] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6849789Z  __compiled_fn_601 <eval_with_key>.3725 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6849884Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6850047Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:31.6850269Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6850482Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6850602Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6850608Z 
2022-11-23T01:32:31.6850930Z [2022-11-23 01:29:58,689] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6851033Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6851130Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6851227Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6851330Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6851422Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6851509Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6851590Z              12 RETURN_VALUE
2022-11-23T01:32:31.6851596Z 
2022-11-23T01:32:31.6851664Z  
2022-11-23T01:32:31.6851983Z [2022-11-23 01:29:58,689] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6852101Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_601)
2022-11-23T01:32:31.6852197Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6852290Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6852365Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6852486Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6852649Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6852758Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6852853Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6852933Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6853044Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6853138Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6853212Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6853305Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6853387Z              26 RETURN_VALUE
2022-11-23T01:32:31.6853392Z 
2022-11-23T01:32:31.6853457Z  
2022-11-23T01:32:31.6853644Z [2022-11-23 01:29:58,689] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6853719Z  - 
2022-11-23T01:32:31.6853842Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6853905Z             {
2022-11-23T01:32:31.6854052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6854246Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6854370Z                 'obj_weakref': None
2022-11-23T01:32:31.6854594Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6854664Z             }
2022-11-23T01:32:31.6854731Z             
2022-11-23T01:32:31.6854799Z  - 
2022-11-23T01:32:31.6854926Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6854995Z             {
2022-11-23T01:32:31.6855141Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6855253Z                 'code': None,
2022-11-23T01:32:31.6855467Z                 'obj_weakref': <weakref at 0x7f201e6eb650; to 'Tensor' at 0x7f1fe81de110>
2022-11-23T01:32:31.6855715Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6855780Z             }
2022-11-23T01:32:31.6855846Z             
2022-11-23T01:32:31.6855926Z  - 
2022-11-23T01:32:31.6856060Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6856132Z             {
2022-11-23T01:32:31.6856271Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6856445Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6856560Z                 'obj_weakref': None
2022-11-23T01:32:31.6856789Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6856857Z             }
2022-11-23T01:32:31.6856925Z             
2022-11-23T01:32:31.6857000Z  - 
2022-11-23T01:32:31.6857125Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6857187Z             {
2022-11-23T01:32:31.6857328Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6857543Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6857667Z                 'obj_weakref': None
2022-11-23T01:32:31.6857890Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6857959Z             }
2022-11-23T01:32:31.6858025Z             
2022-11-23T01:32:31.6858100Z  - 
2022-11-23T01:32:31.6858227Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6858296Z             {
2022-11-23T01:32:31.6858421Z                 'guard_types': None,
2022-11-23T01:32:31.6858528Z                 'code': None,
2022-11-23T01:32:31.6858646Z                 'obj_weakref': None
2022-11-23T01:32:31.6858777Z                 'guarded_class': None
2022-11-23T01:32:31.6858954Z             }
2022-11-23T01:32:31.6859026Z             
2022-11-23T01:32:31.6859290Z [2022-11-23 01:29:58,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 584
2022-11-23T01:32:31.6859632Z [2022-11-23 01:29:58,736] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6860018Z [2022-11-23 01:29:58,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f2/cf2wijoaaoqoll3lmorex6646qrnni42ibdfuzf2y5knbz6grft3.py
2022-11-23T01:32:31.6860286Z [2022-11-23 01:29:58,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 584
2022-11-23T01:32:31.6860291Z 
2022-11-23T01:32:31.6860391Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6860466Z import torch
2022-11-23T01:32:31.6860541Z import random
2022-11-23T01:32:31.6860657Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6860783Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6860788Z 
2022-11-23T01:32:31.6860872Z aten = torch.ops.aten
2022-11-23T01:32:31.6861013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6861111Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6861117Z 
2022-11-23T01:32:31.6861195Z import triton
2022-11-23T01:32:31.6861290Z import triton.language as tl
2022-11-23T01:32:31.6861414Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6861559Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6861564Z 
2022-11-23T01:32:31.6861569Z 
2022-11-23T01:32:31.6861759Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6861834Z import triton
2022-11-23T01:32:31.6861928Z import triton.language as tl
2022-11-23T01:32:31.6862043Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6862145Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6862278Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6862400Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6862405Z 
2022-11-23T01:32:31.6862800Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6862875Z @triton.jit
2022-11-23T01:32:31.6863020Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6863099Z     xnumel = 746496
2022-11-23T01:32:31.6863197Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6863328Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6863413Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6863483Z     x0 = xindex % 27
2022-11-23T01:32:31.6863568Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:31.6863647Z     x2 = (xindex // 729)
2022-11-23T01:32:31.6863720Z     x3 = xindex
2022-11-23T01:32:31.6863841Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6863964Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864083Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864201Z     tmp12 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864322Z     tmp17 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864439Z     tmp22 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864559Z     tmp27 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864679Z     tmp32 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864795Z     tmp37 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.6864876Z     tmp1 = (2*x0) + (110*x1)
2022-11-23T01:32:31.6864961Z     tmp3 = 1 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6865034Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.6865134Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.6865228Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.6865311Z     tmp8 = 2 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6865392Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.6865526Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.6865635Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.6865719Z     tmp13 = 55 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6865800Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.6865900Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.6865995Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.6866076Z     tmp18 = 56 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6866157Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.6866249Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.6866344Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.6866427Z     tmp23 = 57 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6866509Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.6866604Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.6866698Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.6866782Z     tmp28 = 110 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6866857Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.6866961Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.6867057Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.6867141Z     tmp33 = 111 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6867222Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.6867320Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.6867411Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.6867486Z     tmp38 = 112 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6867567Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.6867662Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.6867755Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.6867891Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.6868027Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.6868117Z ''')
2022-11-23T01:32:31.6868122Z 
2022-11-23T01:32:31.6868127Z 
2022-11-23T01:32:31.6868222Z async_compile.wait(globals())
2022-11-23T01:32:31.6868293Z del async_compile
2022-11-23T01:32:31.6868301Z 
2022-11-23T01:32:31.6868379Z def call(args):
2022-11-23T01:32:31.6868456Z     arg0_1, = args
2022-11-23T01:32:31.6868533Z     args.clear()
2022-11-23T01:32:31.6868759Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6868978Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6869070Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6869234Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:31.6869308Z     del arg0_1
2022-11-23T01:32:31.6869388Z     return (buf0, buf1, )
2022-11-23T01:32:31.6869393Z 
2022-11-23T01:32:31.6869398Z 
2022-11-23T01:32:31.6869478Z if __name__ == "__main__":
2022-11-23T01:32:31.6869600Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6869731Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6869964Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6870083Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6870088Z 
2022-11-23T01:32:31.6870092Z 
2022-11-23T01:32:31.6870190Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6870326Z import torch
2022-11-23T01:32:31.6870417Z import random
2022-11-23T01:32:31.6870554Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6870679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6870684Z 
2022-11-23T01:32:31.6870767Z aten = torch.ops.aten
2022-11-23T01:32:31.6870908Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6871004Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6871009Z 
2022-11-23T01:32:31.6871077Z import triton
2022-11-23T01:32:31.6871169Z import triton.language as tl
2022-11-23T01:32:31.6871297Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6871475Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6871499Z 
2022-11-23T01:32:31.6871504Z 
2022-11-23T01:32:31.6871697Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6871774Z import triton
2022-11-23T01:32:31.6871869Z import triton.language as tl
2022-11-23T01:32:31.6871989Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6872085Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6872220Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6872347Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6872352Z 
2022-11-23T01:32:31.6872743Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6872817Z @triton.jit
2022-11-23T01:32:31.6872965Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6873046Z     xnumel = 746496
2022-11-23T01:32:31.6873145Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6873269Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6873353Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6873430Z     x0 = xindex % 27
2022-11-23T01:32:31.6873514Z     x1 = (xindex // 27) % 27
2022-11-23T01:32:31.6873594Z     x2 = (xindex // 729)
2022-11-23T01:32:31.6873664Z     x3 = xindex
2022-11-23T01:32:31.6873802Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6873933Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874067Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874201Z     tmp12 = tl.load(in_ptr0 + (55 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874342Z     tmp17 = tl.load(in_ptr0 + (56 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874477Z     tmp22 = tl.load(in_ptr0 + (57 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874615Z     tmp27 = tl.load(in_ptr0 + (110 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874749Z     tmp32 = tl.load(in_ptr0 + (111 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874877Z     tmp37 = tl.load(in_ptr0 + (112 + (2*x0) + (110*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.6874951Z     tmp1 = (2*x0) + (110*x1)
2022-11-23T01:32:31.6875034Z     tmp3 = 1 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6875113Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.6875209Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.6875301Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.6875383Z     tmp8 = 2 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6875460Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.6875554Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.6875649Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.6875735Z     tmp13 = 55 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6875818Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.6875920Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.6876016Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.6876100Z     tmp18 = 56 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6876174Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.6876274Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.6876369Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.6876450Z     tmp23 = 57 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6876532Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.6876633Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.6876727Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.6876804Z     tmp28 = 110 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6876885Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.6877010Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.6877106Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.6877211Z     tmp33 = 111 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6877295Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.6877394Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.6877480Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.6877563Z     tmp38 = 112 + (2*x0) + (110*x1)
2022-11-23T01:32:31.6877645Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.6877743Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.6877835Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.6877974Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.6878111Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.6878194Z ''')
2022-11-23T01:32:31.6878200Z 
2022-11-23T01:32:31.6878204Z 
2022-11-23T01:32:31.6878301Z async_compile.wait(globals())
2022-11-23T01:32:31.6878380Z del async_compile
2022-11-23T01:32:31.6878388Z 
2022-11-23T01:32:31.6878464Z def call(args):
2022-11-23T01:32:31.6878541Z     arg0_1, = args
2022-11-23T01:32:31.6878617Z     args.clear()
2022-11-23T01:32:31.6878845Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6879058Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6879148Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6879321Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 746496, grid=grid(746496), stream=stream0)
2022-11-23T01:32:31.6879397Z     del arg0_1
2022-11-23T01:32:31.6879481Z     return (buf0, buf1, )
2022-11-23T01:32:31.6879486Z 
2022-11-23T01:32:31.6879490Z 
2022-11-23T01:32:31.6879573Z if __name__ == "__main__":
2022-11-23T01:32:31.6879692Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6879822Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6880047Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6880163Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6880169Z 
2022-11-23T01:32:31.6880239Z ok (0.497s)
2022-11-23T01:32:31.6880552Z   test_max_pool2d3_cuda (__main__.CudaTests) ... [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6880865Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6881086Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6881341Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6881618Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6881941Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6882288Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6882601Z [2022-11-23 01:29:58,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6882970Z [2022-11-23 01:29:58,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970> 
2022-11-23T01:32:31.6883072Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6883198Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6883326Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6883424Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6883552Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6883648Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6883734Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6883828Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6883920Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6884012Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6884104Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6884197Z               22 BUILD_LIST               2
2022-11-23T01:32:31.6884291Z               24 CALL_METHOD              4
2022-11-23T01:32:31.6884367Z               26 RETURN_VALUE
2022-11-23T01:32:31.6884431Z  
2022-11-23T01:32:31.6884436Z 
2022-11-23T01:32:31.6884754Z [2022-11-23 01:29:58,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972
2022-11-23T01:32:31.6884976Z [2022-11-23 01:29:58,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6885302Z [2022-11-23 01:29:58,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6885578Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6885881Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6886218Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6886591Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6886916Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6887273Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6887661Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6888007Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6888389Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6888808Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6889183Z [2022-11-23 01:29:58,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6889432Z [2022-11-23 01:29:58,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6889815Z [2022-11-23 01:29:58,910] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970>
2022-11-23T01:32:31.6890089Z [2022-11-23 01:29:58,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6890348Z [2022-11-23 01:29:58,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6890607Z [2022-11-23 01:29:58,911] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6890861Z [2022-11-23 01:29:58,914] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6891056Z [2022-11-23 01:29:58,914] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6891192Z  __compiled_fn_602 <eval_with_key>.3731 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6891288Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6891457Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:31.6891676Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6891902Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6892022Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6892027Z 
2022-11-23T01:32:31.6892354Z [2022-11-23 01:29:58,915] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6892456Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6892546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6892639Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6892741Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6892831Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6892925Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6893005Z              12 RETURN_VALUE
2022-11-23T01:32:31.6893010Z 
2022-11-23T01:32:31.6893075Z  
2022-11-23T01:32:31.6893402Z [2022-11-23 01:29:58,915] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6893515Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_602)
2022-11-23T01:32:31.6893612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6893709Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6893791Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6893886Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6893997Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6894106Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6894195Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6894277Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6894386Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6894484Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6894566Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6894664Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6894744Z              26 RETURN_VALUE
2022-11-23T01:32:31.6894749Z 
2022-11-23T01:32:31.6894808Z  
2022-11-23T01:32:31.6894994Z [2022-11-23 01:29:58,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6895069Z  - 
2022-11-23T01:32:31.6895192Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6895261Z             {
2022-11-23T01:32:31.6895405Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6895595Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6895711Z                 'obj_weakref': None
2022-11-23T01:32:31.6895934Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6896006Z             }
2022-11-23T01:32:31.6896077Z             
2022-11-23T01:32:31.6896153Z  - 
2022-11-23T01:32:31.6896315Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6896403Z             {
2022-11-23T01:32:31.6896543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6896655Z                 'code': None,
2022-11-23T01:32:31.6896868Z                 'obj_weakref': <weakref at 0x7f201e28a520; to 'Tensor' at 0x7f1fe81de110>
2022-11-23T01:32:31.6897117Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6897186Z             }
2022-11-23T01:32:31.6897254Z             
2022-11-23T01:32:31.6897328Z  - 
2022-11-23T01:32:31.6897455Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6897524Z             {
2022-11-23T01:32:31.6897661Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6897833Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6897957Z                 'obj_weakref': None
2022-11-23T01:32:31.6898185Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6898258Z             }
2022-11-23T01:32:31.6898320Z             
2022-11-23T01:32:31.6898397Z  - 
2022-11-23T01:32:31.6898521Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6898591Z             {
2022-11-23T01:32:31.6898728Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6899069Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6899193Z                 'obj_weakref': None
2022-11-23T01:32:31.6899407Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6899477Z             }
2022-11-23T01:32:31.6899544Z             
2022-11-23T01:32:31.6899619Z  - 
2022-11-23T01:32:31.6899752Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6899821Z             {
2022-11-23T01:32:31.6899947Z                 'guard_types': None,
2022-11-23T01:32:31.6900055Z                 'code': None,
2022-11-23T01:32:31.6900175Z                 'obj_weakref': None
2022-11-23T01:32:31.6900302Z                 'guarded_class': None
2022-11-23T01:32:31.6900369Z             }
2022-11-23T01:32:31.6900436Z             
2022-11-23T01:32:31.6900702Z [2022-11-23 01:29:58,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 585
2022-11-23T01:32:31.6900993Z [2022-11-23 01:29:59,032] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6901355Z [2022-11-23 01:29:59,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pi/cpi6dfln2ri4jxffp7j4tzzx3fypybcjlomkf7oyj3ilodgm7gw2.py
2022-11-23T01:32:31.6901614Z [2022-11-23 01:29:59,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 585
2022-11-23T01:32:31.6901851Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6902166Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6902392Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6902649Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6902929Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6903252Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6903596Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6903964Z [2022-11-23 01:29:59,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6904366Z [2022-11-23 01:29:59,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970> 
2022-11-23T01:32:31.6904462Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6904587Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6904683Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6904779Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6904873Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6904968Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6905062Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6905148Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6905244Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6905338Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6905433Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.6905525Z               22 BUILD_LIST               2
2022-11-23T01:32:31.6905619Z               24 CALL_METHOD              4
2022-11-23T01:32:31.6905701Z               26 RETURN_VALUE
2022-11-23T01:32:31.6905761Z  
2022-11-23T01:32:31.6905772Z 
2022-11-23T01:32:31.6906075Z [2022-11-23 01:29:59,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972
2022-11-23T01:32:31.6906296Z [2022-11-23 01:29:59,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6906623Z [2022-11-23 01:29:59,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6906901Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6907214Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6907553Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6907927Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6908252Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6908611Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6909008Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6909360Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6909743Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6910153Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6910662Z [2022-11-23 01:29:59,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6910928Z [2022-11-23 01:29:59,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6911303Z [2022-11-23 01:29:59,216] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970>
2022-11-23T01:32:31.6911549Z [2022-11-23 01:29:59,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6911783Z [2022-11-23 01:29:59,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6912036Z [2022-11-23 01:29:59,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6912289Z [2022-11-23 01:29:59,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6912485Z [2022-11-23 01:29:59,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6912626Z  __compiled_fn_603 <eval_with_key>.3737 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6912715Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6912881Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:31.6913101Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6913321Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6913440Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6913446Z 
2022-11-23T01:32:31.6913771Z [2022-11-23 01:29:59,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6913870Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6913970Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6914057Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6914156Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6914246Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6914340Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6914421Z              12 RETURN_VALUE
2022-11-23T01:32:31.6914427Z 
2022-11-23T01:32:31.6914493Z  
2022-11-23T01:32:31.6914811Z [2022-11-23 01:29:59,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6914928Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_603)
2022-11-23T01:32:31.6915018Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6915113Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6915199Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6915296Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6915409Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6915520Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6915614Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6915689Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6915798Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6915893Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6915975Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6916072Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6916151Z              26 RETURN_VALUE
2022-11-23T01:32:31.6916156Z 
2022-11-23T01:32:31.6916221Z  
2022-11-23T01:32:31.6916399Z [2022-11-23 01:29:59,221] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6916476Z  - 
2022-11-23T01:32:31.6916628Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6916699Z             {
2022-11-23T01:32:31.6916863Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6917055Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6917179Z                 'obj_weakref': None
2022-11-23T01:32:31.6917402Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6917465Z             }
2022-11-23T01:32:31.6917536Z             
2022-11-23T01:32:31.6917609Z  - 
2022-11-23T01:32:31.6917737Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6917807Z             {
2022-11-23T01:32:31.6917953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6918059Z                 'code': None,
2022-11-23T01:32:31.6918277Z                 'obj_weakref': <weakref at 0x7f1fd9b3e8e0; to 'Tensor' at 0x7f1fd97e79c0>
2022-11-23T01:32:31.6918529Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6918603Z             }
2022-11-23T01:32:31.6918671Z             
2022-11-23T01:32:31.6918747Z  - 
2022-11-23T01:32:31.6918879Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6918941Z             {
2022-11-23T01:32:31.6919080Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6919254Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6919378Z                 'obj_weakref': None
2022-11-23T01:32:31.6919606Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6919677Z             }
2022-11-23T01:32:31.6919746Z             
2022-11-23T01:32:31.6919815Z  - 
2022-11-23T01:32:31.6919945Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6920014Z             {
2022-11-23T01:32:31.6920154Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6920375Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6920498Z                 'obj_weakref': None
2022-11-23T01:32:31.6920720Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6920788Z             }
2022-11-23T01:32:31.6920850Z             
2022-11-23T01:32:31.6920925Z  - 
2022-11-23T01:32:31.6921059Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6921127Z             {
2022-11-23T01:32:31.6921251Z                 'guard_types': None,
2022-11-23T01:32:31.6921363Z                 'code': None,
2022-11-23T01:32:31.6921479Z                 'obj_weakref': None
2022-11-23T01:32:31.6921604Z                 'guarded_class': None
2022-11-23T01:32:31.6921672Z             }
2022-11-23T01:32:31.6921741Z             
2022-11-23T01:32:31.6922002Z [2022-11-23 01:29:59,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 586
2022-11-23T01:32:31.6922294Z [2022-11-23 01:29:59,322] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6922303Z 
2022-11-23T01:32:31.6922405Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6922481Z import torch
2022-11-23T01:32:31.6922549Z import random
2022-11-23T01:32:31.6922671Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6922799Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6922805Z 
2022-11-23T01:32:31.6922886Z aten = torch.ops.aten
2022-11-23T01:32:31.6923024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6923123Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6923128Z 
2022-11-23T01:32:31.6923202Z import triton
2022-11-23T01:32:31.6923289Z import triton.language as tl
2022-11-23T01:32:31.6923417Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6923561Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6923566Z 
2022-11-23T01:32:31.6923602Z 
2022-11-23T01:32:31.6923794Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6923890Z import triton
2022-11-23T01:32:31.6923986Z import triton.language as tl
2022-11-23T01:32:31.6924102Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6924205Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6924333Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6924464Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6924469Z 
2022-11-23T01:32:31.6924857Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6924932Z @triton.jit
2022-11-23T01:32:31.6925080Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6925156Z     xnumel = 16
2022-11-23T01:32:31.6925258Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6925388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6925466Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6925546Z     x1 = (xindex // 4)
2022-11-23T01:32:31.6925620Z     x0 = xindex % 4
2022-11-23T01:32:31.6925693Z     x2 = xindex
2022-11-23T01:32:31.6925804Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:31.6925876Z     tmp1 = 0
2022-11-23T01:32:31.6925958Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.6926023Z     tmp3 = 8
2022-11-23T01:32:31.6926102Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.6926180Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.6926292Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:31.6926372Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:31.6926449Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:31.6926520Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:31.6926598Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:31.6926846Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:31.6927006Z     tmp12 = tl.where(tmp10, tmp11, float("-inf"))
2022-11-23T01:32:31.6927132Z     tmp13 = (-9) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6927206Z     tmp14 = 2*x0
2022-11-23T01:32:31.6927289Z     tmp15 = tmp14 >= tmp1
2022-11-23T01:32:31.6927363Z     tmp16 = tmp14 < tmp3
2022-11-23T01:32:31.6927444Z     tmp17 = tmp15 & tmp16
2022-11-23T01:32:31.6927526Z     tmp18 = tmp5 & tmp17
2022-11-23T01:32:31.6927765Z     tmp19 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp18, other=0)
2022-11-23T01:32:31.6927920Z     tmp20 = tl.where(tmp18, tmp19, float("-inf"))
2022-11-23T01:32:31.6928041Z     tmp21 = (-8) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6928124Z     tmp22 = tmp20 > tmp12
2022-11-23T01:32:31.6928217Z     tmp23 = tl.where(tmp22, tmp21, tmp13)
2022-11-23T01:32:31.6928313Z     tmp24 = tl.maximum(tmp20, tmp12)
2022-11-23T01:32:31.6928390Z     tmp25 = 1 + (2*x0)
2022-11-23T01:32:31.6928472Z     tmp26 = tmp25 >= tmp1
2022-11-23T01:32:31.6928554Z     tmp27 = tmp25 < tmp3
2022-11-23T01:32:31.6928639Z     tmp28 = tmp26 & tmp27
2022-11-23T01:32:31.6928723Z     tmp29 = tmp5 & tmp28
2022-11-23T01:32:31.6928955Z     tmp30 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp29, other=0)
2022-11-23T01:32:31.6929109Z     tmp31 = tl.where(tmp29, tmp30, float("-inf"))
2022-11-23T01:32:31.6929233Z     tmp32 = (-7) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6929313Z     tmp33 = tmp31 > tmp24
2022-11-23T01:32:31.6929413Z     tmp34 = tl.where(tmp33, tmp32, tmp23)
2022-11-23T01:32:31.6929508Z     tmp35 = tl.maximum(tmp31, tmp24)
2022-11-23T01:32:31.6929586Z     tmp36 = 2*x1
2022-11-23T01:32:31.6929660Z     tmp37 = tmp36 >= tmp1
2022-11-23T01:32:31.6929742Z     tmp38 = tmp36 < tmp3
2022-11-23T01:32:31.6929821Z     tmp39 = tmp37 & tmp38
2022-11-23T01:32:31.6929902Z     tmp40 = tmp39 & tmp9
2022-11-23T01:32:31.6930135Z     tmp41 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp40, other=0)
2022-11-23T01:32:31.6930327Z     tmp42 = tl.where(tmp40, tmp41, float("-inf"))
2022-11-23T01:32:31.6930485Z     tmp43 = (-1) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6930558Z     tmp44 = tmp42 > tmp35
2022-11-23T01:32:31.6930658Z     tmp45 = tl.where(tmp44, tmp43, tmp34)
2022-11-23T01:32:31.6930754Z     tmp46 = tl.maximum(tmp42, tmp35)
2022-11-23T01:32:31.6930833Z     tmp47 = tmp39 & tmp17
2022-11-23T01:32:31.6930993Z     tmp48 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp47, other=0)
2022-11-23T01:32:31.6931147Z     tmp49 = tl.where(tmp47, tmp48, float("-inf"))
2022-11-23T01:32:31.6931228Z     tmp50 = (2*x0) + (16*x1)
2022-11-23T01:32:31.6931302Z     tmp51 = tmp49 > tmp46
2022-11-23T01:32:31.6931401Z     tmp52 = tl.where(tmp51, tmp50, tmp45)
2022-11-23T01:32:31.6931499Z     tmp53 = tl.maximum(tmp49, tmp46)
2022-11-23T01:32:31.6931579Z     tmp54 = tmp39 & tmp28
2022-11-23T01:32:31.6931738Z     tmp55 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0)
2022-11-23T01:32:31.6931890Z     tmp56 = tl.where(tmp54, tmp55, float("-inf"))
2022-11-23T01:32:31.6931978Z     tmp57 = 1 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6932052Z     tmp58 = tmp56 > tmp53
2022-11-23T01:32:31.6932152Z     tmp59 = tl.where(tmp58, tmp57, tmp52)
2022-11-23T01:32:31.6932245Z     tmp60 = tl.maximum(tmp56, tmp53)
2022-11-23T01:32:31.6932321Z     tmp61 = 1 + (2*x1)
2022-11-23T01:32:31.6932401Z     tmp62 = tmp61 >= tmp1
2022-11-23T01:32:31.6932480Z     tmp63 = tmp61 < tmp3
2022-11-23T01:32:31.6932558Z     tmp64 = tmp62 & tmp63
2022-11-23T01:32:31.6932631Z     tmp65 = tmp64 & tmp9
2022-11-23T01:32:31.6932791Z     tmp66 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp65, other=0)
2022-11-23T01:32:31.6932949Z     tmp67 = tl.where(tmp65, tmp66, float("-inf"))
2022-11-23T01:32:31.6933033Z     tmp68 = 7 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6933113Z     tmp69 = tmp67 > tmp60
2022-11-23T01:32:31.6933215Z     tmp70 = tl.where(tmp69, tmp68, tmp59)
2022-11-23T01:32:31.6933309Z     tmp71 = tl.maximum(tmp67, tmp60)
2022-11-23T01:32:31.6933386Z     tmp72 = tmp64 & tmp17
2022-11-23T01:32:31.6933543Z     tmp73 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp72, other=0)
2022-11-23T01:32:31.6933694Z     tmp74 = tl.where(tmp72, tmp73, float("-inf"))
2022-11-23T01:32:31.6933778Z     tmp75 = 8 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6933857Z     tmp76 = tmp74 > tmp71
2022-11-23T01:32:31.6933958Z     tmp77 = tl.where(tmp76, tmp75, tmp70)
2022-11-23T01:32:31.6934053Z     tmp78 = tl.maximum(tmp74, tmp71)
2022-11-23T01:32:31.6934135Z     tmp79 = tmp64 & tmp28
2022-11-23T01:32:31.6934285Z     tmp80 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp79, other=0)
2022-11-23T01:32:31.6934437Z     tmp81 = tl.where(tmp79, tmp80, float("-inf"))
2022-11-23T01:32:31.6934519Z     tmp82 = 9 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6934601Z     tmp83 = tmp81 > tmp78
2022-11-23T01:32:31.6934703Z     tmp84 = tl.where(tmp83, tmp82, tmp77)
2022-11-23T01:32:31.6934798Z     tmp85 = tl.maximum(tmp81, tmp78)
2022-11-23T01:32:31.6935029Z     tmp86 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0)
2022-11-23T01:32:31.6935174Z     tmp87 = tl.where(tmp10, tmp86, float("-inf"))
2022-11-23T01:32:31.6935406Z     tmp88 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp18, other=0)
2022-11-23T01:32:31.6935561Z     tmp89 = tl.where(tmp18, tmp88, float("-inf"))
2022-11-23T01:32:31.6935641Z     tmp90 = tmp89 > tmp87
2022-11-23T01:32:31.6935740Z     tmp91 = tl.where(tmp90, tmp21, tmp13)
2022-11-23T01:32:31.6935835Z     tmp92 = tl.maximum(tmp89, tmp87)
2022-11-23T01:32:31.6936064Z     tmp93 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp29, other=0)
2022-11-23T01:32:31.6936216Z     tmp94 = tl.where(tmp29, tmp93, float("-inf"))
2022-11-23T01:32:31.6936290Z     tmp95 = tmp94 > tmp92
2022-11-23T01:32:31.6936420Z     tmp96 = tl.where(tmp95, tmp32, tmp91)
2022-11-23T01:32:31.6936533Z     tmp97 = tl.maximum(tmp94, tmp92)
2022-11-23T01:32:31.6936762Z     tmp98 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp40, other=0)
2022-11-23T01:32:31.6936913Z     tmp99 = tl.where(tmp40, tmp98, float("-inf"))
2022-11-23T01:32:31.6936995Z     tmp100 = tmp99 > tmp97
2022-11-23T01:32:31.6937098Z     tmp101 = tl.where(tmp100, tmp43, tmp96)
2022-11-23T01:32:31.6937187Z     tmp102 = tl.maximum(tmp99, tmp97)
2022-11-23T01:32:31.6937345Z     tmp103 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp47, other=0)
2022-11-23T01:32:31.6937506Z     tmp104 = tl.where(tmp47, tmp103, float("-inf"))
2022-11-23T01:32:31.6937591Z     tmp105 = tmp104 > tmp102
2022-11-23T01:32:31.6937697Z     tmp106 = tl.where(tmp105, tmp50, tmp101)
2022-11-23T01:32:31.6937791Z     tmp107 = tl.maximum(tmp104, tmp102)
2022-11-23T01:32:31.6937949Z     tmp108 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0)
2022-11-23T01:32:31.6938102Z     tmp109 = tl.where(tmp54, tmp108, float("-inf"))
2022-11-23T01:32:31.6938189Z     tmp110 = tmp109 > tmp107
2022-11-23T01:32:31.6938295Z     tmp111 = tl.where(tmp110, tmp57, tmp106)
2022-11-23T01:32:31.6938393Z     tmp112 = tl.maximum(tmp109, tmp107)
2022-11-23T01:32:31.6938548Z     tmp113 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp65, other=0)
2022-11-23T01:32:31.6938705Z     tmp114 = tl.where(tmp65, tmp113, float("-inf"))
2022-11-23T01:32:31.6938899Z     tmp115 = tmp114 > tmp112
2022-11-23T01:32:31.6938997Z     tmp116 = tl.where(tmp115, tmp68, tmp111)
2022-11-23T01:32:31.6939095Z     tmp117 = tl.maximum(tmp114, tmp112)
2022-11-23T01:32:31.6939252Z     tmp118 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp72, other=0)
2022-11-23T01:32:31.6939410Z     tmp119 = tl.where(tmp72, tmp118, float("-inf"))
2022-11-23T01:32:31.6939497Z     tmp120 = tmp119 > tmp117
2022-11-23T01:32:31.6939599Z     tmp121 = tl.where(tmp120, tmp75, tmp116)
2022-11-23T01:32:31.6939699Z     tmp122 = tl.maximum(tmp119, tmp117)
2022-11-23T01:32:31.6939851Z     tmp123 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp79, other=0)
2022-11-23T01:32:31.6940000Z     tmp124 = tl.where(tmp79, tmp123, float("-inf"))
2022-11-23T01:32:31.6940082Z     tmp125 = tmp124 > tmp122
2022-11-23T01:32:31.6940184Z     tmp126 = tl.where(tmp125, tmp82, tmp121)
2022-11-23T01:32:31.6940280Z     tmp127 = tl.maximum(tmp124, tmp122)
2022-11-23T01:32:31.6940420Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp85, xmask)
2022-11-23T01:32:31.6940557Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp126, xmask)
2022-11-23T01:32:31.6940645Z ''')
2022-11-23T01:32:31.6940651Z 
2022-11-23T01:32:31.6940656Z 
2022-11-23T01:32:31.6940750Z async_compile.wait(globals())
2022-11-23T01:32:31.6940822Z del async_compile
2022-11-23T01:32:31.6940827Z 
2022-11-23T01:32:31.6940908Z def call(args):
2022-11-23T01:32:31.6940986Z     arg0_1, = args
2022-11-23T01:32:31.6941062Z     args.clear()
2022-11-23T01:32:31.6941278Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6941489Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6941582Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6941743Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6941819Z     del arg0_1
2022-11-23T01:32:31.6941906Z     return (buf0, buf1, )
2022-11-23T01:32:31.6941911Z 
2022-11-23T01:32:31.6941916Z 
2022-11-23T01:32:31.6941998Z if __name__ == "__main__":
2022-11-23T01:32:31.6942119Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6942249Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6942510Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.6942651Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6942656Z 
2022-11-23T01:32:31.6943022Z [2022-11-23 01:29:59,495] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/no/cnow2ofdhsdqqzvfm2wmgossscscgbyirakoamvsccwx6tw57ngr.py
2022-11-23T01:32:31.6943292Z [2022-11-23 01:29:59,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 586
2022-11-23T01:32:31.6943298Z 
2022-11-23T01:32:31.6943398Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.6943473Z import torch
2022-11-23T01:32:31.6943550Z import random
2022-11-23T01:32:31.6943671Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.6943797Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.6943802Z 
2022-11-23T01:32:31.6943883Z aten = torch.ops.aten
2022-11-23T01:32:31.6944017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.6944120Z async_compile = AsyncCompile()
2022-11-23T01:32:31.6944127Z 
2022-11-23T01:32:31.6944203Z import triton
2022-11-23T01:32:31.6944297Z import triton.language as tl
2022-11-23T01:32:31.6944427Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.6944572Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.6944577Z 
2022-11-23T01:32:31.6944582Z 
2022-11-23T01:32:31.6944771Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.6944848Z import triton
2022-11-23T01:32:31.6944934Z import triton.language as tl
2022-11-23T01:32:31.6945051Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.6945153Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.6945290Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.6945420Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.6945425Z 
2022-11-23T01:32:31.6945815Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.6945894Z @triton.jit
2022-11-23T01:32:31.6946042Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.6946109Z     xnumel = 16
2022-11-23T01:32:31.6946208Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.6946340Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.6946425Z     xmask = xindex < xnumel
2022-11-23T01:32:31.6946504Z     x1 = (xindex // 4)
2022-11-23T01:32:31.6946578Z     x0 = xindex % 4
2022-11-23T01:32:31.6946649Z     x2 = xindex
2022-11-23T01:32:31.6946753Z     tmp0 = (-1) + (2*x1)
2022-11-23T01:32:31.6946831Z     tmp1 = 0
2022-11-23T01:32:31.6946911Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:31.6946984Z     tmp3 = 8
2022-11-23T01:32:31.6947063Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:31.6947142Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:31.6947254Z     tmp6 = (-1) + (2*x0)
2022-11-23T01:32:31.6947329Z     tmp7 = tmp6 >= tmp1
2022-11-23T01:32:31.6947407Z     tmp8 = tmp6 < tmp3
2022-11-23T01:32:31.6947482Z     tmp9 = tmp7 & tmp8
2022-11-23T01:32:31.6947562Z     tmp10 = tmp5 & tmp9
2022-11-23T01:32:31.6947829Z     tmp11 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:31.6947984Z     tmp12 = tl.where(tmp10, tmp11, float("-inf"))
2022-11-23T01:32:31.6948107Z     tmp13 = (-9) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6948176Z     tmp14 = 2*x0
2022-11-23T01:32:31.6948256Z     tmp15 = tmp14 >= tmp1
2022-11-23T01:32:31.6948337Z     tmp16 = tmp14 < tmp3
2022-11-23T01:32:31.6948418Z     tmp17 = tmp15 & tmp16
2022-11-23T01:32:31.6948499Z     tmp18 = tmp5 & tmp17
2022-11-23T01:32:31.6948760Z     tmp19 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp18, other=0).to(tl.float32)
2022-11-23T01:32:31.6948945Z     tmp20 = tl.where(tmp18, tmp19, float("-inf"))
2022-11-23T01:32:31.6949080Z     tmp21 = (-8) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6949164Z     tmp22 = tmp20 > tmp12
2022-11-23T01:32:31.6949263Z     tmp23 = tl.where(tmp22, tmp21, tmp13)
2022-11-23T01:32:31.6949358Z     tmp24 = tl.maximum(tmp20, tmp12)
2022-11-23T01:32:31.6949435Z     tmp25 = 1 + (2*x0)
2022-11-23T01:32:31.6949516Z     tmp26 = tmp25 >= tmp1
2022-11-23T01:32:31.6949597Z     tmp27 = tmp25 < tmp3
2022-11-23T01:32:31.6949670Z     tmp28 = tmp26 & tmp27
2022-11-23T01:32:31.6949750Z     tmp29 = tmp5 & tmp28
2022-11-23T01:32:31.6950011Z     tmp30 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp29, other=0).to(tl.float32)
2022-11-23T01:32:31.6950164Z     tmp31 = tl.where(tmp29, tmp30, float("-inf"))
2022-11-23T01:32:31.6950364Z     tmp32 = (-7) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6950461Z     tmp33 = tmp31 > tmp24
2022-11-23T01:32:31.6950584Z     tmp34 = tl.where(tmp33, tmp32, tmp23)
2022-11-23T01:32:31.6950676Z     tmp35 = tl.maximum(tmp31, tmp24)
2022-11-23T01:32:31.6950756Z     tmp36 = 2*x1
2022-11-23T01:32:31.6950838Z     tmp37 = tmp36 >= tmp1
2022-11-23T01:32:31.6950919Z     tmp38 = tmp36 < tmp3
2022-11-23T01:32:31.6951001Z     tmp39 = tmp37 & tmp38
2022-11-23T01:32:31.6951084Z     tmp40 = tmp39 & tmp9
2022-11-23T01:32:31.6951344Z     tmp41 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp40, other=0).to(tl.float32)
2022-11-23T01:32:31.6951492Z     tmp42 = tl.where(tmp40, tmp41, float("-inf"))
2022-11-23T01:32:31.6951616Z     tmp43 = (-1) + (2*x0) + (16*x1)
2022-11-23T01:32:31.6951696Z     tmp44 = tmp42 > tmp35
2022-11-23T01:32:31.6951797Z     tmp45 = tl.where(tmp44, tmp43, tmp34)
2022-11-23T01:32:31.6951893Z     tmp46 = tl.maximum(tmp42, tmp35)
2022-11-23T01:32:31.6951973Z     tmp47 = tmp39 & tmp17
2022-11-23T01:32:31.6952142Z     tmp48 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp47, other=0).to(tl.float32)
2022-11-23T01:32:31.6952293Z     tmp49 = tl.where(tmp47, tmp48, float("-inf"))
2022-11-23T01:32:31.6952380Z     tmp50 = (2*x0) + (16*x1)
2022-11-23T01:32:31.6952461Z     tmp51 = tmp49 > tmp46
2022-11-23T01:32:31.6952559Z     tmp52 = tl.where(tmp51, tmp50, tmp45)
2022-11-23T01:32:31.6952652Z     tmp53 = tl.maximum(tmp49, tmp46)
2022-11-23T01:32:31.6952733Z     tmp54 = tmp39 & tmp28
2022-11-23T01:32:31.6952904Z     tmp55 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0).to(tl.float32)
2022-11-23T01:32:31.6953049Z     tmp56 = tl.where(tmp54, tmp55, float("-inf"))
2022-11-23T01:32:31.6953132Z     tmp57 = 1 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6953214Z     tmp58 = tmp56 > tmp53
2022-11-23T01:32:31.6953313Z     tmp59 = tl.where(tmp58, tmp57, tmp52)
2022-11-23T01:32:31.6953406Z     tmp60 = tl.maximum(tmp56, tmp53)
2022-11-23T01:32:31.6953484Z     tmp61 = 1 + (2*x1)
2022-11-23T01:32:31.6953566Z     tmp62 = tmp61 >= tmp1
2022-11-23T01:32:31.6953639Z     tmp63 = tmp61 < tmp3
2022-11-23T01:32:31.6953722Z     tmp64 = tmp62 & tmp63
2022-11-23T01:32:31.6953803Z     tmp65 = tmp64 & tmp9
2022-11-23T01:32:31.6953977Z     tmp66 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp65, other=0).to(tl.float32)
2022-11-23T01:32:31.6954130Z     tmp67 = tl.where(tmp65, tmp66, float("-inf"))
2022-11-23T01:32:31.6954212Z     tmp68 = 7 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6954293Z     tmp69 = tmp67 > tmp60
2022-11-23T01:32:31.6954384Z     tmp70 = tl.where(tmp69, tmp68, tmp59)
2022-11-23T01:32:31.6954479Z     tmp71 = tl.maximum(tmp67, tmp60)
2022-11-23T01:32:31.6954558Z     tmp72 = tmp64 & tmp17
2022-11-23T01:32:31.6954725Z     tmp73 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp72, other=0).to(tl.float32)
2022-11-23T01:32:31.6954876Z     tmp74 = tl.where(tmp72, tmp73, float("-inf"))
2022-11-23T01:32:31.6954959Z     tmp75 = 8 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6955040Z     tmp76 = tmp74 > tmp71
2022-11-23T01:32:31.6955201Z     tmp77 = tl.where(tmp76, tmp75, tmp70)
2022-11-23T01:32:31.6955298Z     tmp78 = tl.maximum(tmp74, tmp71)
2022-11-23T01:32:31.6955403Z     tmp79 = tmp64 & tmp28
2022-11-23T01:32:31.6955575Z     tmp80 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp79, other=0).to(tl.float32)
2022-11-23T01:32:31.6955730Z     tmp81 = tl.where(tmp79, tmp80, float("-inf"))
2022-11-23T01:32:31.6955812Z     tmp82 = 9 + (2*x0) + (16*x1)
2022-11-23T01:32:31.6955892Z     tmp83 = tmp81 > tmp78
2022-11-23T01:32:31.6955992Z     tmp84 = tl.where(tmp83, tmp82, tmp77)
2022-11-23T01:32:31.6956079Z     tmp85 = tl.maximum(tmp81, tmp78)
2022-11-23T01:32:31.6956336Z     tmp86 = tl.load(in_ptr0 + ((-9) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp10, other=0).to(tl.float32)
2022-11-23T01:32:31.6956490Z     tmp87 = tl.where(tmp10, tmp86, float("-inf"))
2022-11-23T01:32:31.6956744Z     tmp88 = tl.load(in_ptr0 + ((-8) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp18, other=0).to(tl.float32)
2022-11-23T01:32:31.6956897Z     tmp89 = tl.where(tmp18, tmp88, float("-inf"))
2022-11-23T01:32:31.6956981Z     tmp90 = tmp89 > tmp87
2022-11-23T01:32:31.6957079Z     tmp91 = tl.where(tmp90, tmp21, tmp13)
2022-11-23T01:32:31.6957167Z     tmp92 = tl.maximum(tmp89, tmp87)
2022-11-23T01:32:31.6957416Z     tmp93 = tl.load(in_ptr0 + ((-7) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp29, other=0).to(tl.float32)
2022-11-23T01:32:31.6957569Z     tmp94 = tl.where(tmp29, tmp93, float("-inf"))
2022-11-23T01:32:31.6957650Z     tmp95 = tmp94 > tmp92
2022-11-23T01:32:31.6957748Z     tmp96 = tl.where(tmp95, tmp32, tmp91)
2022-11-23T01:32:31.6957842Z     tmp97 = tl.maximum(tmp94, tmp92)
2022-11-23T01:32:31.6958091Z     tmp98 = tl.load(in_ptr0 + ((-1) + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp40, other=0).to(tl.float32)
2022-11-23T01:32:31.6958243Z     tmp99 = tl.where(tmp40, tmp98, float("-inf"))
2022-11-23T01:32:31.6958319Z     tmp100 = tmp99 > tmp97
2022-11-23T01:32:31.6958427Z     tmp101 = tl.where(tmp100, tmp43, tmp96)
2022-11-23T01:32:31.6958529Z     tmp102 = tl.maximum(tmp99, tmp97)
2022-11-23T01:32:31.6958700Z     tmp103 = tl.load(in_ptr0 + ((2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp47, other=0).to(tl.float32)
2022-11-23T01:32:31.6958859Z     tmp104 = tl.where(tmp47, tmp103, float("-inf"))
2022-11-23T01:32:31.6958942Z     tmp105 = tmp104 > tmp102
2022-11-23T01:32:31.6959047Z     tmp106 = tl.where(tmp105, tmp50, tmp101)
2022-11-23T01:32:31.6959138Z     tmp107 = tl.maximum(tmp104, tmp102)
2022-11-23T01:32:31.6959309Z     tmp108 = tl.load(in_ptr0 + (1 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp54, other=0).to(tl.float32)
2022-11-23T01:32:31.6959468Z     tmp109 = tl.where(tmp54, tmp108, float("-inf"))
2022-11-23T01:32:31.6959550Z     tmp110 = tmp109 > tmp107
2022-11-23T01:32:31.6959655Z     tmp111 = tl.where(tmp110, tmp57, tmp106)
2022-11-23T01:32:31.6959752Z     tmp112 = tl.maximum(tmp109, tmp107)
2022-11-23T01:32:31.6959925Z     tmp113 = tl.load(in_ptr0 + (7 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp65, other=0).to(tl.float32)
2022-11-23T01:32:31.6960084Z     tmp114 = tl.where(tmp65, tmp113, float("-inf"))
2022-11-23T01:32:31.6960160Z     tmp115 = tmp114 > tmp112
2022-11-23T01:32:31.6960263Z     tmp116 = tl.where(tmp115, tmp68, tmp111)
2022-11-23T01:32:31.6960361Z     tmp117 = tl.maximum(tmp114, tmp112)
2022-11-23T01:32:31.6960533Z     tmp118 = tl.load(in_ptr0 + (8 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp72, other=0).to(tl.float32)
2022-11-23T01:32:31.6960691Z     tmp119 = tl.where(tmp72, tmp118, float("-inf"))
2022-11-23T01:32:31.6960774Z     tmp120 = tmp119 > tmp117
2022-11-23T01:32:31.6960875Z     tmp121 = tl.where(tmp120, tmp75, tmp116)
2022-11-23T01:32:31.6960964Z     tmp122 = tl.maximum(tmp119, tmp117)
2022-11-23T01:32:31.6961136Z     tmp123 = tl.load(in_ptr0 + (9 + (2*x0) + (16*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp79, other=0).to(tl.float32)
2022-11-23T01:32:31.6961320Z     tmp124 = tl.where(tmp79, tmp123, float("-inf"))
2022-11-23T01:32:31.6961406Z     tmp125 = tmp124 > tmp122
2022-11-23T01:32:31.6961528Z     tmp126 = tl.where(tmp125, tmp82, tmp121)
2022-11-23T01:32:31.6961625Z     tmp127 = tl.maximum(tmp124, tmp122)
2022-11-23T01:32:31.6961763Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp85, xmask)
2022-11-23T01:32:31.6961894Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp126, xmask)
2022-11-23T01:32:31.6961983Z ''')
2022-11-23T01:32:31.6961989Z 
2022-11-23T01:32:31.6961993Z 
2022-11-23T01:32:31.6962090Z async_compile.wait(globals())
2022-11-23T01:32:31.6962170Z del async_compile
2022-11-23T01:32:31.6962175Z 
2022-11-23T01:32:31.6962254Z def call(args):
2022-11-23T01:32:31.6962330Z     arg0_1, = args
2022-11-23T01:32:31.6962406Z     args.clear()
2022-11-23T01:32:31.6962620Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6962826Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.6962918Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.6963088Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.6963165Z     del arg0_1
2022-11-23T01:32:31.6963246Z     return (buf0, buf1, )
2022-11-23T01:32:31.6963251Z 
2022-11-23T01:32:31.6963255Z 
2022-11-23T01:32:31.6963338Z if __name__ == "__main__":
2022-11-23T01:32:31.6963459Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.6963585Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.6963791Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.6963905Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.6963910Z 
2022-11-23T01:32:31.6963984Z ok (0.598s)
2022-11-23T01:32:31.6964298Z   test_max_pool2d4_cuda (__main__.CudaTests) ... [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6964618Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6964840Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6965093Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6965370Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6965684Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6966016Z [2022-11-23 01:29:59,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6966337Z [2022-11-23 01:29:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6966716Z [2022-11-23 01:29:59,501] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980> 
2022-11-23T01:32:31.6966818Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6966947Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6967046Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6967140Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6967238Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6967331Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6967418Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6967511Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6967638Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6967755Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:31.6967849Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:31.6967942Z               22 BUILD_LIST               2
2022-11-23T01:32:31.6968035Z               24 LOAD_CONST               4 (1)
2022-11-23T01:32:31.6968120Z               26 LOAD_CONST               4 (1)
2022-11-23T01:32:31.6968217Z               28 BUILD_LIST               2
2022-11-23T01:32:31.6968315Z               30 LOAD_CONST               5 (True)
2022-11-23T01:32:31.6968409Z               32 CALL_METHOD              6
2022-11-23T01:32:31.6968491Z               34 RETURN_VALUE
2022-11-23T01:32:31.6968558Z  
2022-11-23T01:32:31.6968563Z 
2022-11-23T01:32:31.6968877Z [2022-11-23 01:29:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982
2022-11-23T01:32:31.6969102Z [2022-11-23 01:29:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6969428Z [2022-11-23 01:29:59,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6969705Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6970009Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.6970348Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6970720Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6971046Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.6971405Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6971800Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6972150Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6972532Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6972956Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6973325Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6973727Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.6974186Z [2022-11-23 01:29:59,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.6974607Z [2022-11-23 01:29:59,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.6975043Z [2022-11-23 01:29:59,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.6975291Z [2022-11-23 01:29:59,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6975664Z [2022-11-23 01:29:59,509] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980>
2022-11-23T01:32:31.6975912Z [2022-11-23 01:29:59,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.6976150Z [2022-11-23 01:29:59,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.6976406Z [2022-11-23 01:29:59,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.6976655Z [2022-11-23 01:29:59,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.6976846Z [2022-11-23 01:29:59,513] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.6976986Z  __compiled_fn_604 <eval_with_key>.3743 opcode, name, target, args, kwargs
2022-11-23T01:32:31.6977075Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.6977251Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T01:32:31.6977471Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.6977694Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.6977815Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.6977821Z 
2022-11-23T01:32:31.6978145Z [2022-11-23 01:29:59,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6978246Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.6978344Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6978440Z               4 BUILD_MAP                0
2022-11-23T01:32:31.6978533Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.6978627Z               8 DICT_MERGE               1
2022-11-23T01:32:31.6978724Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.6978915Z              12 RETURN_VALUE
2022-11-23T01:32:31.6978921Z 
2022-11-23T01:32:31.6978990Z  
2022-11-23T01:32:31.6979314Z [2022-11-23 01:29:59,513] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.6979435Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_604)
2022-11-23T01:32:31.6979525Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.6979621Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6979705Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.6979804Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.6979917Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.6980029Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6980128Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.6980203Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.6980314Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.6980412Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.6980494Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.6980635Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.6980749Z              26 RETURN_VALUE
2022-11-23T01:32:31.6980755Z 
2022-11-23T01:32:31.6980822Z  
2022-11-23T01:32:31.6981013Z [2022-11-23 01:29:59,514] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.6981083Z  - 
2022-11-23T01:32:31.6981207Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.6981277Z             {
2022-11-23T01:32:31.6981426Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.6981623Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.6981749Z                 'obj_weakref': None
2022-11-23T01:32:31.6981976Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.6982039Z             }
2022-11-23T01:32:31.6982106Z             
2022-11-23T01:32:31.6982182Z  - 
2022-11-23T01:32:31.6982313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.6982385Z             {
2022-11-23T01:32:31.6982534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.6982642Z                 'code': None,
2022-11-23T01:32:31.6982853Z                 'obj_weakref': <weakref at 0x7f2023100310; to 'Tensor' at 0x7f1fd97e79c0>
2022-11-23T01:32:31.6983102Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.6983172Z             }
2022-11-23T01:32:31.6983241Z             
2022-11-23T01:32:31.6983317Z  - 
2022-11-23T01:32:31.6983454Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.6983522Z             {
2022-11-23T01:32:31.6983657Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.6983832Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.6983959Z                 'obj_weakref': None
2022-11-23T01:32:31.6984188Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.6984260Z             }
2022-11-23T01:32:31.6984329Z             
2022-11-23T01:32:31.6984410Z  - 
2022-11-23T01:32:31.6984529Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.6984600Z             {
2022-11-23T01:32:31.6984739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.6984956Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.6985078Z                 'obj_weakref': None
2022-11-23T01:32:31.6985300Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.6985369Z             }
2022-11-23T01:32:31.6985431Z             
2022-11-23T01:32:31.6985506Z  - 
2022-11-23T01:32:31.6985640Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.6985711Z             {
2022-11-23T01:32:31.6985834Z                 'guard_types': None,
2022-11-23T01:32:31.6985945Z                 'code': None,
2022-11-23T01:32:31.6986060Z                 'obj_weakref': None
2022-11-23T01:32:31.6986188Z                 'guarded_class': None
2022-11-23T01:32:31.6986260Z             }
2022-11-23T01:32:31.6986328Z             
2022-11-23T01:32:31.6986587Z [2022-11-23 01:29:59,518] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 587
2022-11-23T01:32:31.6986879Z [2022-11-23 01:29:59,591] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.6987242Z [2022-11-23 01:29:59,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnasztwwkxbwl2tm5vkbqxwf2yl42mobkfibktocaevkwp7ut3hd.py
2022-11-23T01:32:31.6987508Z [2022-11-23 01:29:59,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 587
2022-11-23T01:32:31.6987745Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.6988082Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.6988322Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.6994805Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.6995126Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.6995447Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6995795Z [2022-11-23 01:29:59,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6996122Z [2022-11-23 01:29:59,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.6996496Z [2022-11-23 01:29:59,755] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980> 
2022-11-23T01:32:31.6996601Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.6996729Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.6996820Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.6996917Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6997011Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.6997105Z               10 BUILD_LIST               2
2022-11-23T01:32:31.6997200Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6997294Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.6997387Z               16 BUILD_LIST               2
2022-11-23T01:32:31.6997475Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:31.6997570Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:31.6997668Z               22 BUILD_LIST               2
2022-11-23T01:32:31.6997764Z               24 LOAD_CONST               4 (1)
2022-11-23T01:32:31.6997854Z               26 LOAD_CONST               4 (1)
2022-11-23T01:32:31.6997945Z               28 BUILD_LIST               2
2022-11-23T01:32:31.6998047Z               30 LOAD_CONST               5 (True)
2022-11-23T01:32:31.6998134Z               32 CALL_METHOD              6
2022-11-23T01:32:31.6998217Z               34 RETURN_VALUE
2022-11-23T01:32:31.6998283Z  
2022-11-23T01:32:31.6998288Z 
2022-11-23T01:32:31.6998606Z [2022-11-23 01:29:59,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982
2022-11-23T01:32:31.6998826Z [2022-11-23 01:29:59,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.6999159Z [2022-11-23 01:29:59,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.6999440Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.6999749Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.7000088Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7000451Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7000835Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7001217Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7001612Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7001959Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7002338Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7002755Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7003121Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7003520Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7003956Z [2022-11-23 01:29:59,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7004353Z [2022-11-23 01:29:59,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7004791Z [2022-11-23 01:29:59,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7005038Z [2022-11-23 01:29:59,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7005415Z [2022-11-23 01:29:59,763] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980>
2022-11-23T01:32:31.7005661Z [2022-11-23 01:29:59,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7005896Z [2022-11-23 01:29:59,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7006159Z [2022-11-23 01:29:59,764] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7006414Z [2022-11-23 01:29:59,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7006611Z [2022-11-23 01:29:59,767] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7006754Z  __compiled_fn_605 <eval_with_key>.3749 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7006849Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7007029Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T01:32:31.7007255Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.7007478Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.7007618Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.7007643Z 
2022-11-23T01:32:31.7007971Z [2022-11-23 01:29:59,767] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7008075Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7008173Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7008268Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7008372Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7008465Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7008554Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7008637Z              12 RETURN_VALUE
2022-11-23T01:32:31.7008642Z 
2022-11-23T01:32:31.7008710Z  
2022-11-23T01:32:31.7009031Z [2022-11-23 01:29:59,767] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7009152Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_605)
2022-11-23T01:32:31.7009249Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7009347Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7009430Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7009517Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7009630Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7009741Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7009837Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7009921Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7010029Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7010124Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7010199Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7010294Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7010378Z              26 RETURN_VALUE
2022-11-23T01:32:31.7010384Z 
2022-11-23T01:32:31.7010452Z  
2022-11-23T01:32:31.7010641Z [2022-11-23 01:29:59,768] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7010718Z  - 
2022-11-23T01:32:31.7010845Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7010907Z             {
2022-11-23T01:32:31.7011056Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7011246Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7011371Z                 'obj_weakref': None
2022-11-23T01:32:31.7011596Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7011668Z             }
2022-11-23T01:32:31.7011737Z             
2022-11-23T01:32:31.7011806Z  - 
2022-11-23T01:32:31.7011935Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7012005Z             {
2022-11-23T01:32:31.7012151Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7012267Z                 'code': None,
2022-11-23T01:32:31.7012483Z                 'obj_weakref': <weakref at 0x7f20728461b0; to 'Tensor' at 0x7f1fead34630>
2022-11-23T01:32:31.7012736Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7012808Z             }
2022-11-23T01:32:31.7012871Z             
2022-11-23T01:32:31.7012946Z  - 
2022-11-23T01:32:31.7013085Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7013157Z             {
2022-11-23T01:32:31.7013303Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7013482Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7013600Z                 'obj_weakref': None
2022-11-23T01:32:31.7013831Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7013904Z             }
2022-11-23T01:32:31.7013971Z             
2022-11-23T01:32:31.7014047Z  - 
2022-11-23T01:32:31.7014212Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7014305Z             {
2022-11-23T01:32:31.7014440Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7014660Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7014785Z                 'obj_weakref': None
2022-11-23T01:32:31.7015012Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7015081Z             }
2022-11-23T01:32:31.7015153Z             
2022-11-23T01:32:31.7015226Z  - 
2022-11-23T01:32:31.7015357Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7015426Z             {
2022-11-23T01:32:31.7015553Z                 'guard_types': None,
2022-11-23T01:32:31.7015667Z                 'code': None,
2022-11-23T01:32:31.7015791Z                 'obj_weakref': None
2022-11-23T01:32:31.7015919Z                 'guarded_class': None
2022-11-23T01:32:31.7015987Z             }
2022-11-23T01:32:31.7016051Z             
2022-11-23T01:32:31.7016318Z [2022-11-23 01:29:59,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 588
2022-11-23T01:32:31.7016619Z [2022-11-23 01:29:59,814] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.7016994Z [2022-11-23 01:29:59,973] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fy/cfywixj2iufzqloajaclgxrpb6sxmf7axxulniq3cwqbnadnzxag.py
2022-11-23T01:32:31.7017267Z [2022-11-23 01:29:59,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 588
2022-11-23T01:32:31.7017273Z 
2022-11-23T01:32:31.7017371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7017448Z import torch
2022-11-23T01:32:31.7017526Z import random
2022-11-23T01:32:31.7017642Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7017768Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7017776Z 
2022-11-23T01:32:31.7017860Z aten = torch.ops.aten
2022-11-23T01:32:31.7018007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7018107Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7018112Z 
2022-11-23T01:32:31.7018187Z import triton
2022-11-23T01:32:31.7018282Z import triton.language as tl
2022-11-23T01:32:31.7018414Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7018551Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7018556Z 
2022-11-23T01:32:31.7018571Z 
2022-11-23T01:32:31.7018757Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.7018963Z import triton
2022-11-23T01:32:31.7019059Z import triton.language as tl
2022-11-23T01:32:31.7019178Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7019284Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7019419Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7019551Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7019560Z 
2022-11-23T01:32:31.7019955Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7020025Z @triton.jit
2022-11-23T01:32:31.7020175Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7020252Z     xnumel = 48400
2022-11-23T01:32:31.7020354Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7020485Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7020570Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7020644Z     x0 = xindex % 55
2022-11-23T01:32:31.7020723Z     x1 = (xindex // 55) % 55
2022-11-23T01:32:31.7020808Z     x2 = (xindex // 3025)
2022-11-23T01:32:31.7020881Z     x3 = xindex
2022-11-23T01:32:31.7021053Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021200Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021323Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021451Z     tmp12 = tl.load(in_ptr0 + (111 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021567Z     tmp17 = tl.load(in_ptr0 + (112 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021685Z     tmp22 = tl.load(in_ptr0 + (113 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021802Z     tmp27 = tl.load(in_ptr0 + (222 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7021916Z     tmp32 = tl.load(in_ptr0 + (223 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7022031Z     tmp37 = tl.load(in_ptr0 + (224 + (2*x0) + (222*x1) + (12321*x2)), xmask)
2022-11-23T01:32:31.7022112Z     tmp1 = (2*x0) + (222*x1)
2022-11-23T01:32:31.7022199Z     tmp3 = 1 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7022275Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.7022375Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.7022474Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.7022557Z     tmp8 = 2 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7022637Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.7022736Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.7022830Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.7022908Z     tmp13 = 111 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7022990Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.7023094Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.7023192Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.7023278Z     tmp18 = 112 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7023359Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.7023459Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.7023546Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.7023630Z     tmp23 = 113 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7023714Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.7023814Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.7023912Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.7023993Z     tmp28 = 222 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7024076Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.7024168Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.7024261Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.7024344Z     tmp33 = 223 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7024425Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.7024522Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.7024618Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.7024699Z     tmp38 = 224 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7024772Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.7024870Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.7024962Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.7025103Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.7025240Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.7025330Z ''')
2022-11-23T01:32:31.7025336Z 
2022-11-23T01:32:31.7025341Z 
2022-11-23T01:32:31.7025440Z async_compile.wait(globals())
2022-11-23T01:32:31.7025519Z del async_compile
2022-11-23T01:32:31.7025524Z 
2022-11-23T01:32:31.7025593Z def call(args):
2022-11-23T01:32:31.7025665Z     arg0_1, = args
2022-11-23T01:32:31.7025741Z     args.clear()
2022-11-23T01:32:31.7025973Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7026192Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7026285Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7026459Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 48400, grid=grid(48400), stream=stream0)
2022-11-23T01:32:31.7026526Z     del arg0_1
2022-11-23T01:32:31.7026639Z     return (buf0, buf1, )
2022-11-23T01:32:31.7026645Z 
2022-11-23T01:32:31.7026682Z 
2022-11-23T01:32:31.7026767Z if __name__ == "__main__":
2022-11-23T01:32:31.7026888Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7027019Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7027253Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7027370Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7027375Z 
2022-11-23T01:32:31.7027380Z 
2022-11-23T01:32:31.7027479Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7027547Z import torch
2022-11-23T01:32:31.7027623Z import random
2022-11-23T01:32:31.7027746Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7027873Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7027878Z 
2022-11-23T01:32:31.7027963Z aten = torch.ops.aten
2022-11-23T01:32:31.7028107Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7028206Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7028214Z 
2022-11-23T01:32:31.7028289Z import triton
2022-11-23T01:32:31.7028376Z import triton.language as tl
2022-11-23T01:32:31.7028505Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7028651Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7028657Z 
2022-11-23T01:32:31.7028661Z 
2022-11-23T01:32:31.7028854Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.7028929Z import triton
2022-11-23T01:32:31.7029024Z import triton.language as tl
2022-11-23T01:32:31.7029139Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7029245Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7029373Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7029500Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7029505Z 
2022-11-23T01:32:31.7029898Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7029977Z @triton.jit
2022-11-23T01:32:31.7030123Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7030202Z     xnumel = 48400
2022-11-23T01:32:31.7030374Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7030528Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7030607Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7030686Z     x0 = xindex % 55
2022-11-23T01:32:31.7030772Z     x1 = (xindex // 55) % 55
2022-11-23T01:32:31.7030850Z     x2 = (xindex // 3025)
2022-11-23T01:32:31.7030922Z     x3 = xindex
2022-11-23T01:32:31.7031062Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031203Z     tmp2 = tl.load(in_ptr0 + (1 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031335Z     tmp7 = tl.load(in_ptr0 + (2 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031472Z     tmp12 = tl.load(in_ptr0 + (111 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031612Z     tmp17 = tl.load(in_ptr0 + (112 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031744Z     tmp22 = tl.load(in_ptr0 + (113 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7031875Z     tmp27 = tl.load(in_ptr0 + (222 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7032005Z     tmp32 = tl.load(in_ptr0 + (223 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7032133Z     tmp37 = tl.load(in_ptr0 + (224 + (2*x0) + (222*x1) + (12321*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7032214Z     tmp1 = (2*x0) + (222*x1)
2022-11-23T01:32:31.7032292Z     tmp3 = 1 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7032406Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.7032526Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.7032622Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.7032708Z     tmp8 = 2 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7032790Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.7032887Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.7032975Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.7033061Z     tmp13 = 111 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7033141Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.7033244Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.7033339Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.7033424Z     tmp18 = 112 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7033505Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.7033598Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.7033692Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.7033776Z     tmp23 = 113 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7033859Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.7033959Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.7034056Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.7034138Z     tmp28 = 222 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7034212Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.7034312Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.7034406Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.7034491Z     tmp33 = 223 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7034572Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.7034672Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.7034759Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.7034843Z     tmp38 = 224 + (2*x0) + (222*x1)
2022-11-23T01:32:31.7034923Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.7035024Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.7035117Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.7035260Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.7035399Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.7035492Z ''')
2022-11-23T01:32:31.7035498Z 
2022-11-23T01:32:31.7035502Z 
2022-11-23T01:32:31.7035591Z async_compile.wait(globals())
2022-11-23T01:32:31.7035669Z del async_compile
2022-11-23T01:32:31.7035675Z 
2022-11-23T01:32:31.7035749Z def call(args):
2022-11-23T01:32:31.7035823Z     arg0_1, = args
2022-11-23T01:32:31.7035899Z     args.clear()
2022-11-23T01:32:31.7036129Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7036349Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7036434Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7036605Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 48400, grid=grid(48400), stream=stream0)
2022-11-23T01:32:31.7036678Z     del arg0_1
2022-11-23T01:32:31.7036763Z     return (buf0, buf1, )
2022-11-23T01:32:31.7036769Z 
2022-11-23T01:32:31.7036776Z 
2022-11-23T01:32:31.7036858Z if __name__ == "__main__":
2022-11-23T01:32:31.7036977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7037107Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7037337Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7037444Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7037455Z 
2022-11-23T01:32:31.7037520Z ok (0.479s)
2022-11-23T01:32:31.7037837Z   test_max_pool2d5_cuda (__main__.CudaTests) ... [2022-11-23 01:29:59,996] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7038155Z [2022-11-23 01:29:59,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7038402Z [2022-11-23 01:29:59,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7038675Z [2022-11-23 01:29:59,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7038950Z [2022-11-23 01:29:59,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7039266Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7039607Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7039927Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7040299Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990> 
2022-11-23T01:32:31.7040397Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7040522Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.7040619Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7040717Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7040814Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7040911Z               10 BUILD_LIST               2
2022-11-23T01:32:31.7041007Z               12 BUILD_LIST               0
2022-11-23T01:32:31.7041091Z               14 CALL_METHOD              3
2022-11-23T01:32:31.7041171Z               16 RETURN_VALUE
2022-11-23T01:32:31.7041238Z  
2022-11-23T01:32:31.7041243Z 
2022-11-23T01:32:31.7041564Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991
2022-11-23T01:32:31.7041788Z [2022-11-23 01:29:59,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7042128Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7042411Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.7042720Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.7043061Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7043444Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7043762Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7044114Z [2022-11-23 01:30:00,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7044363Z [2022-11-23 01:30:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7044739Z [2022-11-23 01:30:00,005] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990>
2022-11-23T01:32:31.7044991Z [2022-11-23 01:30:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7045255Z [2022-11-23 01:30:00,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7045539Z [2022-11-23 01:30:00,006] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7045792Z [2022-11-23 01:30:00,010] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7045989Z [2022-11-23 01:30:00,011] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7046129Z  __compiled_fn_606 <eval_with_key>.3755 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7046218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7046382Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T01:32:31.7046608Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.7046833Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.7046956Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.7046961Z 
2022-11-23T01:32:31.7047293Z [2022-11-23 01:30:00,011] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7047394Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7047490Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7047578Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7047681Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7047771Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7047867Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7047951Z              12 RETURN_VALUE
2022-11-23T01:32:31.7047956Z 
2022-11-23T01:32:31.7048021Z  
2022-11-23T01:32:31.7048345Z [2022-11-23 01:30:00,011] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7048466Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_606)
2022-11-23T01:32:31.7048561Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7048660Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7048742Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7048837Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7048948Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7049059Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7049156Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7049231Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7049342Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7049438Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7049520Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7049615Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7049699Z              26 RETURN_VALUE
2022-11-23T01:32:31.7049706Z 
2022-11-23T01:32:31.7049772Z  
2022-11-23T01:32:31.7049955Z [2022-11-23 01:30:00,012] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7050034Z  - 
2022-11-23T01:32:31.7050161Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7050232Z             {
2022-11-23T01:32:31.7050376Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7050568Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7050694Z                 'obj_weakref': None
2022-11-23T01:32:31.7050912Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7050984Z             }
2022-11-23T01:32:31.7051053Z             
2022-11-23T01:32:31.7051129Z  - 
2022-11-23T01:32:31.7051260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7051330Z             {
2022-11-23T01:32:31.7051482Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7051617Z                 'code': None,
2022-11-23T01:32:31.7051837Z                 'obj_weakref': <weakref at 0x7f1fe819ca90; to 'Tensor' at 0x7f1fd8bfb470>
2022-11-23T01:32:31.7052111Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7052180Z             }
2022-11-23T01:32:31.7052250Z             
2022-11-23T01:32:31.7052324Z  - 
2022-11-23T01:32:31.7052464Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7052526Z             {
2022-11-23T01:32:31.7052669Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7052846Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7052969Z                 'obj_weakref': None
2022-11-23T01:32:31.7053207Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7053277Z             }
2022-11-23T01:32:31.7053346Z             
2022-11-23T01:32:31.7053414Z  - 
2022-11-23T01:32:31.7053544Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7053614Z             {
2022-11-23T01:32:31.7053757Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7053977Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7054104Z                 'obj_weakref': None
2022-11-23T01:32:31.7054328Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7054390Z             }
2022-11-23T01:32:31.7054455Z             
2022-11-23T01:32:31.7054531Z  - 
2022-11-23T01:32:31.7054672Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7054741Z             {
2022-11-23T01:32:31.7054869Z                 'guard_types': None,
2022-11-23T01:32:31.7054981Z                 'code': None,
2022-11-23T01:32:31.7055097Z                 'obj_weakref': None
2022-11-23T01:32:31.7055224Z                 'guarded_class': None
2022-11-23T01:32:31.7055294Z             }
2022-11-23T01:32:31.7055367Z             
2022-11-23T01:32:31.7055636Z [2022-11-23 01:30:00,016] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 589
2022-11-23T01:32:31.7055934Z [2022-11-23 01:30:00,092] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.7056296Z [2022-11-23 01:30:00,261] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ng/cng5i5nljpzdodtx743ed33glmcm3mkevpirff5bydsmyx4ywdaq.py
2022-11-23T01:32:31.7056566Z [2022-11-23 01:30:00,261] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 589
2022-11-23T01:32:31.7056801Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7057117Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7057342Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7057603Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7057884Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7058207Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7058553Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7058993Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7059416Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990> 
2022-11-23T01:32:31.7059584Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7059702Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.7059800Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7059898Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7059993Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7060088Z               10 BUILD_LIST               2
2022-11-23T01:32:31.7060184Z               12 BUILD_LIST               0
2022-11-23T01:32:31.7060280Z               14 CALL_METHOD              3
2022-11-23T01:32:31.7060355Z               16 RETURN_VALUE
2022-11-23T01:32:31.7060422Z  
2022-11-23T01:32:31.7060428Z 
2022-11-23T01:32:31.7060753Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991
2022-11-23T01:32:31.7060980Z [2022-11-23 01:30:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7061318Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7061600Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.7061910Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.7062251Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7062625Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7062955Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7063307Z [2022-11-23 01:30:00,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7063548Z [2022-11-23 01:30:00,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7063920Z [2022-11-23 01:30:00,273] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990>
2022-11-23T01:32:31.7064168Z [2022-11-23 01:30:00,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7064408Z [2022-11-23 01:30:00,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7064665Z [2022-11-23 01:30:00,274] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7064915Z [2022-11-23 01:30:00,276] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7065107Z [2022-11-23 01:30:00,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7065253Z  __compiled_fn_607 <eval_with_key>.3761 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7065347Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7065503Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T01:32:31.7065723Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.7065946Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.7066095Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.7066119Z 
2022-11-23T01:32:31.7066445Z [2022-11-23 01:30:00,277] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7066546Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7066641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7066735Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7066828Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7066923Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7067020Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7067102Z              12 RETURN_VALUE
2022-11-23T01:32:31.7067108Z 
2022-11-23T01:32:31.7067178Z  
2022-11-23T01:32:31.7067498Z [2022-11-23 01:30:00,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7067616Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_607)
2022-11-23T01:32:31.7067716Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7067806Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7067890Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7067982Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7068095Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7068205Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7068302Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7068383Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7068485Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7068579Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7068660Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7068754Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7068837Z              26 RETURN_VALUE
2022-11-23T01:32:31.7068847Z 
2022-11-23T01:32:31.7068911Z  
2022-11-23T01:32:31.7069098Z [2022-11-23 01:30:00,277] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7069167Z  - 
2022-11-23T01:32:31.7069295Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7069365Z             {
2022-11-23T01:32:31.7069508Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7069698Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7069824Z                 'obj_weakref': None
2022-11-23T01:32:31.7070047Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7070115Z             }
2022-11-23T01:32:31.7070178Z             
2022-11-23T01:32:31.7070311Z  - 
2022-11-23T01:32:31.7070463Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7070532Z             {
2022-11-23T01:32:31.7070678Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7070794Z                 'code': None,
2022-11-23T01:32:31.7071002Z                 'obj_weakref': <weakref at 0x7f202322b650; to 'Tensor' at 0x7f201e3e4130>
2022-11-23T01:32:31.7071250Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7071321Z             }
2022-11-23T01:32:31.7071395Z             
2022-11-23T01:32:31.7071470Z  - 
2022-11-23T01:32:31.7071605Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7071673Z             {
2022-11-23T01:32:31.7071806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7071979Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7072103Z                 'obj_weakref': None
2022-11-23T01:32:31.7072334Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7072403Z             }
2022-11-23T01:32:31.7072474Z             
2022-11-23T01:32:31.7072585Z  - 
2022-11-23T01:32:31.7072706Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7072810Z             {
2022-11-23T01:32:31.7072952Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7073172Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7073294Z                 'obj_weakref': None
2022-11-23T01:32:31.7073517Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7073586Z             }
2022-11-23T01:32:31.7073647Z             
2022-11-23T01:32:31.7073723Z  - 
2022-11-23T01:32:31.7073858Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7073926Z             {
2022-11-23T01:32:31.7074051Z                 'guard_types': None,
2022-11-23T01:32:31.7074163Z                 'code': None,
2022-11-23T01:32:31.7074284Z                 'obj_weakref': None
2022-11-23T01:32:31.7074403Z                 'guarded_class': None
2022-11-23T01:32:31.7074474Z             }
2022-11-23T01:32:31.7074540Z             
2022-11-23T01:32:31.7074803Z [2022-11-23 01:30:00,281] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 590
2022-11-23T01:32:31.7075099Z [2022-11-23 01:30:00,325] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.7075465Z [2022-11-23 01:30:00,488] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3r/c3r7flgdbkneik4cbn7arxnrfv7smxvxzgolme2jdawctkdodkd4.py
2022-11-23T01:32:31.7075735Z [2022-11-23 01:30:00,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 590
2022-11-23T01:32:31.7075740Z 
2022-11-23T01:32:31.7075842Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7075910Z import torch
2022-11-23T01:32:31.7075991Z import random
2022-11-23T01:32:31.7076114Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7076244Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7076249Z 
2022-11-23T01:32:31.7076334Z aten = torch.ops.aten
2022-11-23T01:32:31.7076475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7076573Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7076578Z 
2022-11-23T01:32:31.7076654Z import triton
2022-11-23T01:32:31.7076740Z import triton.language as tl
2022-11-23T01:32:31.7076867Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7077012Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7077018Z 
2022-11-23T01:32:31.7077022Z 
2022-11-23T01:32:31.7077217Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.7077293Z import triton
2022-11-23T01:32:31.7077386Z import triton.language as tl
2022-11-23T01:32:31.7077502Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7077599Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7077736Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7077864Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7077872Z 
2022-11-23T01:32:31.7078266Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7078341Z @triton.jit
2022-11-23T01:32:31.7078484Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7078560Z     xnumel = 331776
2022-11-23T01:32:31.7078661Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7078787Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7078872Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7078948Z     x0 = xindex % 18
2022-11-23T01:32:31.7079033Z     x1 = (xindex // 18) % 18
2022-11-23T01:32:31.7079114Z     x2 = (xindex // 324)
2022-11-23T01:32:31.7079187Z     x3 = xindex
2022-11-23T01:32:31.7079345Z     tmp0 = tl.load(in_ptr0 + ((3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7079481Z     tmp2 = tl.load(in_ptr0 + (1 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7079602Z     tmp7 = tl.load(in_ptr0 + (2 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7079724Z     tmp12 = tl.load(in_ptr0 + (55 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7079847Z     tmp17 = tl.load(in_ptr0 + (56 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7079965Z     tmp22 = tl.load(in_ptr0 + (57 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7080086Z     tmp27 = tl.load(in_ptr0 + (110 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7080208Z     tmp32 = tl.load(in_ptr0 + (111 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7080325Z     tmp37 = tl.load(in_ptr0 + (112 + (3*x0) + (165*x1) + (3025*x2)), xmask)
2022-11-23T01:32:31.7080399Z     tmp1 = (3*x0) + (165*x1)
2022-11-23T01:32:31.7080482Z     tmp3 = 1 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7080569Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.7080672Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.7080767Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.7080856Z     tmp8 = 2 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7080936Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.7081027Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.7081119Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.7081203Z     tmp13 = 55 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7081285Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.7081387Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.7081482Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.7081563Z     tmp18 = 56 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7081637Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.7081738Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.7081833Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.7081918Z     tmp23 = 57 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7082002Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.7082102Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.7082195Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.7082272Z     tmp28 = 110 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7082351Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.7082450Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.7082547Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.7082630Z     tmp33 = 111 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7082709Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.7082806Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.7082892Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.7082977Z     tmp38 = 112 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7083061Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.7083158Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.7083250Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.7083389Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.7083523Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.7083608Z ''')
2022-11-23T01:32:31.7083613Z 
2022-11-23T01:32:31.7083618Z 
2022-11-23T01:32:31.7083715Z async_compile.wait(globals())
2022-11-23T01:32:31.7083791Z del async_compile
2022-11-23T01:32:31.7083797Z 
2022-11-23T01:32:31.7083875Z def call(args):
2022-11-23T01:32:31.7083950Z     arg0_1, = args
2022-11-23T01:32:31.7084027Z     args.clear()
2022-11-23T01:32:31.7084255Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7084474Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7084559Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7084732Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 331776, grid=grid(331776), stream=stream0)
2022-11-23T01:32:31.7084806Z     del arg0_1
2022-11-23T01:32:31.7084920Z     return (buf0, buf1, )
2022-11-23T01:32:31.7084945Z 
2022-11-23T01:32:31.7084950Z 
2022-11-23T01:32:31.7085033Z if __name__ == "__main__":
2022-11-23T01:32:31.7085155Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7085290Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7085522Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7085630Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7085635Z 
2022-11-23T01:32:31.7085640Z 
2022-11-23T01:32:31.7085741Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7085815Z import torch
2022-11-23T01:32:31.7085891Z import random
2022-11-23T01:32:31.7086015Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7086139Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7086145Z 
2022-11-23T01:32:31.7086228Z aten = torch.ops.aten
2022-11-23T01:32:31.7086371Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7086465Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7086470Z 
2022-11-23T01:32:31.7086545Z import triton
2022-11-23T01:32:31.7086639Z import triton.language as tl
2022-11-23T01:32:31.7086767Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7086910Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7086916Z 
2022-11-23T01:32:31.7086920Z 
2022-11-23T01:32:31.7087115Z triton_fused_max_pool2d_with_indices0 = async_compile.triton('''
2022-11-23T01:32:31.7087190Z import triton
2022-11-23T01:32:31.7087277Z import triton.language as tl
2022-11-23T01:32:31.7087394Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7087496Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7087629Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7087758Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7087763Z 
2022-11-23T01:32:31.7088154Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7088229Z @triton.jit
2022-11-23T01:32:31.7088373Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7088442Z     xnumel = 331776
2022-11-23T01:32:31.7088543Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7088676Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7088759Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7088836Z     x0 = xindex % 18
2022-11-23T01:32:31.7088916Z     x1 = (xindex // 18) % 18
2022-11-23T01:32:31.7088997Z     x2 = (xindex // 324)
2022-11-23T01:32:31.7089062Z     x3 = xindex
2022-11-23T01:32:31.7089202Z     tmp0 = tl.load(in_ptr0 + ((3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7089343Z     tmp2 = tl.load(in_ptr0 + (1 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7089481Z     tmp7 = tl.load(in_ptr0 + (2 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7089618Z     tmp12 = tl.load(in_ptr0 + (55 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7089754Z     tmp17 = tl.load(in_ptr0 + (56 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7089888Z     tmp22 = tl.load(in_ptr0 + (57 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7090023Z     tmp27 = tl.load(in_ptr0 + (110 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7090150Z     tmp32 = tl.load(in_ptr0 + (111 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7090279Z     tmp37 = tl.load(in_ptr0 + (112 + (3*x0) + (165*x1) + (3025*x2)), xmask).to(tl.float32)
2022-11-23T01:32:31.7090362Z     tmp1 = (3*x0) + (165*x1)
2022-11-23T01:32:31.7090447Z     tmp3 = 1 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7090557Z     tmp4 = tmp2 > tmp0
2022-11-23T01:32:31.7090675Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:31.7090767Z     tmp6 = tl.maximum(tmp2, tmp0)
2022-11-23T01:32:31.7090851Z     tmp8 = 2 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7090924Z     tmp9 = tmp7 > tmp6
2022-11-23T01:32:31.7091026Z     tmp10 = tl.where(tmp9, tmp8, tmp5)
2022-11-23T01:32:31.7091121Z     tmp11 = tl.maximum(tmp7, tmp6)
2022-11-23T01:32:31.7091205Z     tmp13 = 55 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7091287Z     tmp14 = tmp12 > tmp11
2022-11-23T01:32:31.7091389Z     tmp15 = tl.where(tmp14, tmp13, tmp10)
2022-11-23T01:32:31.7091478Z     tmp16 = tl.maximum(tmp12, tmp11)
2022-11-23T01:32:31.7091560Z     tmp18 = 56 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7091644Z     tmp19 = tmp17 > tmp16
2022-11-23T01:32:31.7091744Z     tmp20 = tl.where(tmp19, tmp18, tmp15)
2022-11-23T01:32:31.7091838Z     tmp21 = tl.maximum(tmp17, tmp16)
2022-11-23T01:32:31.7091924Z     tmp23 = 57 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7092009Z     tmp24 = tmp22 > tmp21
2022-11-23T01:32:31.7092102Z     tmp25 = tl.where(tmp24, tmp23, tmp20)
2022-11-23T01:32:31.7092197Z     tmp26 = tl.maximum(tmp22, tmp21)
2022-11-23T01:32:31.7092282Z     tmp28 = 110 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7092363Z     tmp29 = tmp27 > tmp26
2022-11-23T01:32:31.7092462Z     tmp30 = tl.where(tmp29, tmp28, tmp25)
2022-11-23T01:32:31.7092556Z     tmp31 = tl.maximum(tmp27, tmp26)
2022-11-23T01:32:31.7092640Z     tmp33 = 111 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7092714Z     tmp34 = tmp32 > tmp31
2022-11-23T01:32:31.7092809Z     tmp35 = tl.where(tmp34, tmp33, tmp30)
2022-11-23T01:32:31.7092902Z     tmp36 = tl.maximum(tmp32, tmp31)
2022-11-23T01:32:31.7092984Z     tmp38 = 112 + (3*x0) + (165*x1)
2022-11-23T01:32:31.7093065Z     tmp39 = tmp37 > tmp36
2022-11-23T01:32:31.7093163Z     tmp40 = tl.where(tmp39, tmp38, tmp35)
2022-11-23T01:32:31.7093257Z     tmp41 = tl.maximum(tmp37, tmp36)
2022-11-23T01:32:31.7093389Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp41, xmask)
2022-11-23T01:32:31.7093526Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp40, xmask)
2022-11-23T01:32:31.7093618Z ''')
2022-11-23T01:32:31.7093624Z 
2022-11-23T01:32:31.7093629Z 
2022-11-23T01:32:31.7093724Z async_compile.wait(globals())
2022-11-23T01:32:31.7093801Z del async_compile
2022-11-23T01:32:31.7093807Z 
2022-11-23T01:32:31.7093883Z def call(args):
2022-11-23T01:32:31.7093958Z     arg0_1, = args
2022-11-23T01:32:31.7094035Z     args.clear()
2022-11-23T01:32:31.7094260Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7094490Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7094582Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7094754Z     triton_fused_max_pool2d_with_indices0.run(arg0_1, buf0, buf1, 331776, grid=grid(331776), stream=stream0)
2022-11-23T01:32:31.7094827Z     del arg0_1
2022-11-23T01:32:31.7094911Z     return (buf0, buf1, )
2022-11-23T01:32:31.7094916Z 
2022-11-23T01:32:31.7094923Z 
2022-11-23T01:32:31.7095005Z if __name__ == "__main__":
2022-11-23T01:32:31.7095127Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7095250Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7095478Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7095593Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7095599Z 
2022-11-23T01:32:31.7095672Z ok (0.514s)
2022-11-23T01:32:31.7095984Z   test_max_pool2d6_cuda (__main__.CudaTests) ... [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7096299Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7096551Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7096825Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7097103Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7097412Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7097754Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7098076Z [2022-11-23 01:30:00,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7098449Z [2022-11-23 01:30:00,511] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000> 
2022-11-23T01:32:31.7098556Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7098681Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.7098777Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7098989Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7099088Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7099176Z               10 BUILD_LIST               2
2022-11-23T01:32:31.7099270Z               12 BUILD_LIST               0
2022-11-23T01:32:31.7099362Z               14 CALL_METHOD              3
2022-11-23T01:32:31.7099442Z               16 RETURN_VALUE
2022-11-23T01:32:31.7099507Z  
2022-11-23T01:32:31.7099512Z 
2022-11-23T01:32:31.7099830Z [2022-11-23 01:30:00,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001
2022-11-23T01:32:31.7100051Z [2022-11-23 01:30:00,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7100383Z [2022-11-23 01:30:00,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7100653Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.7100960Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.7101300Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7101677Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7102004Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7102358Z [2022-11-23 01:30:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7102641Z [2022-11-23 01:30:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7103030Z [2022-11-23 01:30:00,518] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000>
2022-11-23T01:32:31.7103280Z [2022-11-23 01:30:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7103557Z [2022-11-23 01:30:00,518] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7103835Z [2022-11-23 01:30:00,519] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7104078Z [2022-11-23 01:30:00,522] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7104269Z [2022-11-23 01:30:00,522] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7104412Z  __compiled_fn_608 <eval_with_key>.3767 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7104507Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7104673Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T01:32:31.7104891Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.7105115Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.7105238Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.7105247Z 
2022-11-23T01:32:31.7105570Z [2022-11-23 01:30:00,522] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7105664Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7105762Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7105855Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7105956Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7106051Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7106146Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7106228Z              12 RETURN_VALUE
2022-11-23T01:32:31.7106234Z 
2022-11-23T01:32:31.7106292Z  
2022-11-23T01:32:31.7106609Z [2022-11-23 01:30:00,522] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7106727Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_608)
2022-11-23T01:32:31.7106827Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7106923Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7107006Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7107099Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7107209Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7107312Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7107409Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7107492Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7107600Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7107695Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7107776Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7107871Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7107948Z              26 RETURN_VALUE
2022-11-23T01:32:31.7107954Z 
2022-11-23T01:32:31.7108023Z  
2022-11-23T01:32:31.7108210Z [2022-11-23 01:30:00,523] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7108285Z  - 
2022-11-23T01:32:31.7108410Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7108480Z             {
2022-11-23T01:32:31.7108625Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7108809Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7108934Z                 'obj_weakref': None
2022-11-23T01:32:31.7109159Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7109229Z             }
2022-11-23T01:32:31.7109296Z             
2022-11-23T01:32:31.7109373Z  - 
2022-11-23T01:32:31.7109500Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7109562Z             {
2022-11-23T01:32:31.7109709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7109851Z                 'code': None,
2022-11-23T01:32:31.7110085Z                 'obj_weakref': <weakref at 0x7f1ffad310d0; to 'Tensor' at 0x7f20233e4d10>
2022-11-23T01:32:31.7110401Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7110486Z             }
2022-11-23T01:32:31.7110575Z             
2022-11-23T01:32:31.7110649Z  - 
2022-11-23T01:32:31.7110785Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7110852Z             {
2022-11-23T01:32:31.7110994Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7111168Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7111293Z                 'obj_weakref': None
2022-11-23T01:32:31.7111528Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7111590Z             }
2022-11-23T01:32:31.7111657Z             
2022-11-23T01:32:31.7111732Z  - 
2022-11-23T01:32:31.7111859Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7111931Z             {
2022-11-23T01:32:31.7112072Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7112289Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7112404Z                 'obj_weakref': None
2022-11-23T01:32:31.7112645Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7112720Z             }
2022-11-23T01:32:31.7112801Z             
2022-11-23T01:32:31.7112889Z  - 
2022-11-23T01:32:31.7113024Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7113092Z             {
2022-11-23T01:32:31.7113210Z                 'guard_types': None,
2022-11-23T01:32:31.7113321Z                 'code': None,
2022-11-23T01:32:31.7113443Z                 'obj_weakref': None
2022-11-23T01:32:31.7113568Z                 'guarded_class': None
2022-11-23T01:32:31.7113637Z             }
2022-11-23T01:32:31.7113707Z             
2022-11-23T01:32:31.7113970Z [2022-11-23 01:30:00,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 591
2022-11-23T01:32:31.7114210Z [2022-11-23 01:30:00,528] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T01:32:31.7114572Z [2022-11-23 01:30:00,530] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymjsge7yiekwhtdr5xkop6eb6gwegp4zqvunczcfk2nk5mjopss.py
2022-11-23T01:32:31.7114837Z [2022-11-23 01:30:00,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 591
2022-11-23T01:32:31.7115076Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7115391Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7115609Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7115864Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7116141Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7116457Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7116797Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7117108Z [2022-11-23 01:30:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7117513Z [2022-11-23 01:30:00,534] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000> 
2022-11-23T01:32:31.7117649Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7117777Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:31.7117876Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7117977Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7118073Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7118168Z               10 BUILD_LIST               2
2022-11-23T01:32:31.7118255Z               12 BUILD_LIST               0
2022-11-23T01:32:31.7118347Z               14 CALL_METHOD              3
2022-11-23T01:32:31.7118430Z               16 RETURN_VALUE
2022-11-23T01:32:31.7118497Z  
2022-11-23T01:32:31.7118502Z 
2022-11-23T01:32:31.7118825Z [2022-11-23 01:30:00,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001
2022-11-23T01:32:31.7119048Z [2022-11-23 01:30:00,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7119388Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7119669Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:31.7119972Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:31.7120304Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7120678Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7121005Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7121357Z [2022-11-23 01:30:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7121611Z [2022-11-23 01:30:00,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7121982Z [2022-11-23 01:30:00,541] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000>
2022-11-23T01:32:31.7122231Z [2022-11-23 01:30:00,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7122474Z [2022-11-23 01:30:00,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7122735Z [2022-11-23 01:30:00,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7122985Z [2022-11-23 01:30:00,544] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7123185Z [2022-11-23 01:30:00,545] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7123321Z  __compiled_fn_609 <eval_with_key>.3773 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7123418Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7123584Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T01:32:31.7123809Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:31.7124034Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:31.7124179Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.7124203Z 
2022-11-23T01:32:31.7124537Z [2022-11-23 01:30:00,545] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7124638Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7124730Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7124822Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7124921Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7125012Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7125107Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7125187Z              12 RETURN_VALUE
2022-11-23T01:32:31.7125193Z 
2022-11-23T01:32:31.7125257Z  
2022-11-23T01:32:31.7125576Z [2022-11-23 01:30:00,545] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7125694Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_609)
2022-11-23T01:32:31.7125793Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7125891Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7125972Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7126063Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7126173Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7126282Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7126371Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7126456Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7126566Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7126661Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7126741Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7126835Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7126918Z              26 RETURN_VALUE
2022-11-23T01:32:31.7126923Z 
2022-11-23T01:32:31.7126985Z  
2022-11-23T01:32:31.7127174Z [2022-11-23 01:30:00,546] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7127250Z  - 
2022-11-23T01:32:31.7127375Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7127443Z             {
2022-11-23T01:32:31.7127591Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7127780Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7127897Z                 'obj_weakref': None
2022-11-23T01:32:31.7128121Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7128192Z             }
2022-11-23T01:32:31.7128260Z             
2022-11-23T01:32:31.7128336Z  - 
2022-11-23T01:32:31.7128467Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7128534Z             {
2022-11-23T01:32:31.7128674Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7128787Z                 'code': None,
2022-11-23T01:32:31.7129004Z                 'obj_weakref': <weakref at 0x7f1ffad39a80; to 'Tensor' at 0x7f201e3e54e0>
2022-11-23T01:32:31.7129253Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7129322Z             }
2022-11-23T01:32:31.7129392Z             
2022-11-23T01:32:31.7129469Z  - 
2022-11-23T01:32:31.7129597Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7129664Z             {
2022-11-23T01:32:31.7129803Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7129976Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7130099Z                 'obj_weakref': None
2022-11-23T01:32:31.7130329Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7130396Z             }
2022-11-23T01:32:31.7130458Z             
2022-11-23T01:32:31.7130531Z  - 
2022-11-23T01:32:31.7130687Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7130780Z             {
2022-11-23T01:32:31.7130919Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7131137Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7131258Z                 'obj_weakref': None
2022-11-23T01:32:31.7131472Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7131543Z             }
2022-11-23T01:32:31.7131612Z             
2022-11-23T01:32:31.7131685Z  - 
2022-11-23T01:32:31.7131820Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7131889Z             {
2022-11-23T01:32:31.7132013Z                 'guard_types': None,
2022-11-23T01:32:31.7132117Z                 'code': None,
2022-11-23T01:32:31.7132236Z                 'obj_weakref': None
2022-11-23T01:32:31.7132361Z                 'guarded_class': None
2022-11-23T01:32:31.7132432Z             }
2022-11-23T01:32:31.7132500Z             
2022-11-23T01:32:31.7132761Z [2022-11-23 01:30:00,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 592
2022-11-23T01:32:31.7133010Z [2022-11-23 01:30:00,551] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T01:32:31.7133360Z [2022-11-23 01:30:00,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/33/c33usn7jaaotfwosye764ghw5dfs6rc6eiltnikiruurf2c6mpv6.py
2022-11-23T01:32:31.7133627Z [2022-11-23 01:30:00,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 592
2022-11-23T01:32:31.7133632Z 
2022-11-23T01:32:31.7133732Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7133805Z import torch
2022-11-23T01:32:31.7133880Z import random
2022-11-23T01:32:31.7134000Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7134128Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7134136Z 
2022-11-23T01:32:31.7134225Z aten = torch.ops.aten
2022-11-23T01:32:31.7134361Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7134460Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7134465Z 
2022-11-23T01:32:31.7134540Z import triton
2022-11-23T01:32:31.7134633Z import triton.language as tl
2022-11-23T01:32:31.7134759Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7134901Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7134907Z 
2022-11-23T01:32:31.7134911Z 
2022-11-23T01:32:31.7135004Z async_compile.wait(globals())
2022-11-23T01:32:31.7135083Z del async_compile
2022-11-23T01:32:31.7135088Z 
2022-11-23T01:32:31.7135157Z def call(args):
2022-11-23T01:32:31.7135231Z     arg0_1, = args
2022-11-23T01:32:31.7135310Z     args.clear()
2022-11-23T01:32:31.7135449Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T01:32:31.7135522Z     del arg0_1
2022-11-23T01:32:31.7135603Z     buf1 = buf0[0]
2022-11-23T01:32:31.7135721Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:31.7135787Z     buf2 = buf0[1]
2022-11-23T01:32:31.7135900Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:31.7135972Z     del buf0
2022-11-23T01:32:31.7136053Z     return (buf1, buf2, )
2022-11-23T01:32:31.7136058Z 
2022-11-23T01:32:31.7136062Z 
2022-11-23T01:32:31.7136144Z if __name__ == "__main__":
2022-11-23T01:32:31.7136265Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7136395Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7136624Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7136732Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7136737Z 
2022-11-23T01:32:31.7136747Z 
2022-11-23T01:32:31.7136839Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7136914Z import torch
2022-11-23T01:32:31.7137018Z import random
2022-11-23T01:32:31.7137157Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7137282Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7137287Z 
2022-11-23T01:32:31.7137369Z aten = torch.ops.aten
2022-11-23T01:32:31.7137509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7137600Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7137605Z 
2022-11-23T01:32:31.7137680Z import triton
2022-11-23T01:32:31.7137773Z import triton.language as tl
2022-11-23T01:32:31.7137900Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7138044Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7138049Z 
2022-11-23T01:32:31.7138054Z 
2022-11-23T01:32:31.7138147Z async_compile.wait(globals())
2022-11-23T01:32:31.7138225Z del async_compile
2022-11-23T01:32:31.7138230Z 
2022-11-23T01:32:31.7138306Z def call(args):
2022-11-23T01:32:31.7138375Z     arg0_1, = args
2022-11-23T01:32:31.7138450Z     args.clear()
2022-11-23T01:32:31.7138590Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T01:32:31.7138663Z     del arg0_1
2022-11-23T01:32:31.7138736Z     buf1 = buf0[0]
2022-11-23T01:32:31.7138980Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:31.7139056Z     buf2 = buf0[1]
2022-11-23T01:32:31.7139166Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:31.7139238Z     del buf0
2022-11-23T01:32:31.7139321Z     return (buf1, buf2, )
2022-11-23T01:32:31.7139326Z 
2022-11-23T01:32:31.7139331Z 
2022-11-23T01:32:31.7139412Z if __name__ == "__main__":
2022-11-23T01:32:31.7139532Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7139659Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7139893Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7140004Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7140019Z 
2022-11-23T01:32:31.7140084Z ok (0.065s)
2022-11-23T01:32:31.7140429Z   test_max_pool2d_with_indices_backward2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7140746Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7140965Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7141220Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7141498Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7141816Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7142158Z [2022-11-23 01:30:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7142474Z [2022-11-23 01:30:00,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7142846Z [2022-11-23 01:30:00,559] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932> 
2022-11-23T01:32:31.7142942Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7143076Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7143082Z 
2022-11-23T01:32:31.7143179Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7143320Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7143444Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7143541Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7143636Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7143734Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7143822Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7143914Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7144009Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7144103Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7144194Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7144286Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7144378Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7144464Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7144563Z               32 LOAD_CONST               4 (True)
2022-11-23T01:32:31.7144659Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7144669Z 
2022-11-23T01:32:31.7144765Z 3933          36 CALL_METHOD              8
2022-11-23T01:32:31.7144846Z               38 RETURN_VALUE
2022-11-23T01:32:31.7144912Z  
2022-11-23T01:32:31.7144918Z 
2022-11-23T01:32:31.7145235Z [2022-11-23 01:30:00,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:31.7145451Z [2022-11-23 01:30:00,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7145787Z [2022-11-23 01:30:00,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7146102Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934
2022-11-23T01:32:31.7146401Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7146720Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7147063Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7147443Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7147854Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7148221Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7148624Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7149054Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7149437Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7149888Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7150435Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7150846Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7151292Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7151772Z [2022-11-23 01:30:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7152209Z [2022-11-23 01:30:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7152677Z [2022-11-23 01:30:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7152989Z [2022-11-23 01:30:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:31.7153501Z [2022-11-23 01:30:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7153760Z [2022-11-23 01:30:00,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7154139Z [2022-11-23 01:30:00,567] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932>
2022-11-23T01:32:31.7154385Z [2022-11-23 01:30:00,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7154619Z [2022-11-23 01:30:00,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7154879Z [2022-11-23 01:30:00,568] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7155133Z [2022-11-23 01:30:00,570] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7155323Z [2022-11-23 01:30:00,571] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7155468Z  __compiled_fn_610 <eval_with_key>.3779 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7155558Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7155650Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7155745Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7155951Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T01:32:31.7156092Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7156098Z 
2022-11-23T01:32:31.7156453Z [2022-11-23 01:30:00,571] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7156575Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7156673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7156762Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7156861Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7156958Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7157052Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7157134Z              12 RETURN_VALUE
2022-11-23T01:32:31.7157140Z 
2022-11-23T01:32:31.7157206Z  
2022-11-23T01:32:31.7157526Z [2022-11-23 01:30:00,571] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7157639Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_610)
2022-11-23T01:32:31.7157738Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7157838Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7157922Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7158017Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7158113Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7158196Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7158289Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7158376Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7158457Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7158552Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7158647Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7158729Z              24 RETURN_VALUE
2022-11-23T01:32:31.7158734Z 
2022-11-23T01:32:31.7158800Z  
2022-11-23T01:32:31.7158988Z [2022-11-23 01:30:00,572] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7159059Z  - 
2022-11-23T01:32:31.7159184Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7159254Z             {
2022-11-23T01:32:31.7159407Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7159602Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7159729Z                 'obj_weakref': None
2022-11-23T01:32:31.7159955Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7160019Z             }
2022-11-23T01:32:31.7160089Z             
2022-11-23T01:32:31.7160167Z  - 
2022-11-23T01:32:31.7160298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7160368Z             {
2022-11-23T01:32:31.7160516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7160629Z                 'code': None,
2022-11-23T01:32:31.7160836Z                 'obj_weakref': <weakref at 0x7f1ffad3a700; to 'Tensor' at 0x7f201e719120>
2022-11-23T01:32:31.7161088Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7161164Z             }
2022-11-23T01:32:31.7161235Z             
2022-11-23T01:32:31.7161310Z  - 
2022-11-23T01:32:31.7161438Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7161507Z             {
2022-11-23T01:32:31.7161649Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7161760Z                 'code': None,
2022-11-23T01:32:31.7161979Z                 'obj_weakref': <weakref at 0x7f1ffad39cb0; to 'Tensor' at 0x7f201e3d6890>
2022-11-23T01:32:31.7162231Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7162303Z             }
2022-11-23T01:32:31.7162373Z             
2022-11-23T01:32:31.7162448Z  - 
2022-11-23T01:32:31.7162568Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7162637Z             {
2022-11-23T01:32:31.7162784Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7162897Z                 'code': None,
2022-11-23T01:32:31.7163171Z                 'obj_weakref': <weakref at 0x7f1ffad3a160; to 'Tensor' at 0x7f201e3d4180>
2022-11-23T01:32:31.7163451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7163521Z             }
2022-11-23T01:32:31.7163583Z             
2022-11-23T01:32:31.7163659Z  - 
2022-11-23T01:32:31.7163795Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7163865Z             {
2022-11-23T01:32:31.7164008Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7164185Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7164311Z                 'obj_weakref': None
2022-11-23T01:32:31.7164537Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7164608Z             }
2022-11-23T01:32:31.7164678Z             
2022-11-23T01:32:31.7164754Z  - 
2022-11-23T01:32:31.7164881Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7164956Z             {
2022-11-23T01:32:31.7165102Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7165320Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7165445Z                 'obj_weakref': None
2022-11-23T01:32:31.7165671Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7165740Z             }
2022-11-23T01:32:31.7165808Z             
2022-11-23T01:32:31.7165884Z  - 
2022-11-23T01:32:31.7166020Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7166083Z             {
2022-11-23T01:32:31.7166208Z                 'guard_types': None,
2022-11-23T01:32:31.7166321Z                 'code': None,
2022-11-23T01:32:31.7166443Z                 'obj_weakref': None
2022-11-23T01:32:31.7166570Z                 'guarded_class': None
2022-11-23T01:32:31.7166639Z             }
2022-11-23T01:32:31.7166701Z             
2022-11-23T01:32:31.7166971Z [2022-11-23 01:30:00,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 593
2022-11-23T01:32:31.7167227Z [2022-11-23 01:30:00,627] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7167597Z [2022-11-23 01:30:00,795] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coonesensnwpvhgabtf3c4gdgewq67y5lfmve76zj43dhexwhs6n.py
2022-11-23T01:32:31.7167866Z [2022-11-23 01:30:00,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 593
2022-11-23T01:32:31.7168107Z [2022-11-23 01:30:00,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7168424Z [2022-11-23 01:30:00,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7168644Z [2022-11-23 01:30:00,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7168898Z [2022-11-23 01:30:00,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7169179Z [2022-11-23 01:30:00,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7169491Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7169841Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7170165Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7170572Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932> 
2022-11-23T01:32:31.7170699Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7170835Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7170841Z 
2022-11-23T01:32:31.7170940Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7171039Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7171137Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7171226Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:31.7171321Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7171417Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7171510Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7171603Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7171697Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7171789Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7171876Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7171974Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7172067Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7172164Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7172269Z               32 LOAD_CONST               4 (True)
2022-11-23T01:32:31.7172361Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7172367Z 
2022-11-23T01:32:31.7172460Z 3933          36 CALL_METHOD              8
2022-11-23T01:32:31.7172544Z               38 RETURN_VALUE
2022-11-23T01:32:31.7172605Z  
2022-11-23T01:32:31.7172610Z 
2022-11-23T01:32:31.7172926Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:31.7173146Z [2022-11-23 01:30:00,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7173498Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7173815Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934
2022-11-23T01:32:31.7174114Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7174433Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7174775Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7175157Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7175572Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7175937Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7176332Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7176795Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7177203Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7177628Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7178081Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7178492Z [2022-11-23 01:30:00,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7179055Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7179535Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7179974Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7180447Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7180761Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:32:31.7181266Z [2022-11-23 01:30:00,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7181519Z [2022-11-23 01:30:00,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7181891Z [2022-11-23 01:30:00,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932>
2022-11-23T01:32:31.7182139Z [2022-11-23 01:30:00,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7182375Z [2022-11-23 01:30:00,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7182632Z [2022-11-23 01:30:00,809] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7182877Z [2022-11-23 01:30:00,812] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7183073Z [2022-11-23 01:30:00,812] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7183216Z  __compiled_fn_611 <eval_with_key>.3785 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7183312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7183406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7183498Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7183751Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T01:32:31.7183921Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7183927Z 
2022-11-23T01:32:31.7184248Z [2022-11-23 01:30:00,812] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7184350Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7184450Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7184543Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7184641Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7184732Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7184829Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7184906Z              12 RETURN_VALUE
2022-11-23T01:32:31.7184919Z 
2022-11-23T01:32:31.7184978Z  
2022-11-23T01:32:31.7185300Z [2022-11-23 01:30:00,812] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7185421Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_611)
2022-11-23T01:32:31.7185519Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7185617Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7185701Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7185798Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7185887Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7185970Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7186065Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7186161Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7186244Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7186337Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7186440Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7186516Z              24 RETURN_VALUE
2022-11-23T01:32:31.7186528Z 
2022-11-23T01:32:31.7186588Z  
2022-11-23T01:32:31.7186777Z [2022-11-23 01:30:00,813] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7186858Z  - 
2022-11-23T01:32:31.7186983Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7187055Z             {
2022-11-23T01:32:31.7187202Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7187384Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7187508Z                 'obj_weakref': None
2022-11-23T01:32:31.7187735Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7187804Z             }
2022-11-23T01:32:31.7187873Z             
2022-11-23T01:32:31.7187948Z  - 
2022-11-23T01:32:31.7188080Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7188142Z             {
2022-11-23T01:32:31.7188292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7188409Z                 'code': None,
2022-11-23T01:32:31.7188623Z                 'obj_weakref': <weakref at 0x7f1ffad43650; to 'Tensor' at 0x7f20232bdc10>
2022-11-23T01:32:31.7188872Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7188943Z             }
2022-11-23T01:32:31.7189014Z             
2022-11-23T01:32:31.7189083Z  - 
2022-11-23T01:32:31.7189211Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7189280Z             {
2022-11-23T01:32:31.7189429Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7189541Z                 'code': None,
2022-11-23T01:32:31.7189749Z                 'obj_weakref': <weakref at 0x7f1ffad46890; to 'Tensor' at 0x7f202322a980>
2022-11-23T01:32:31.7189998Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7190069Z             }
2022-11-23T01:32:31.7190167Z             
2022-11-23T01:32:31.7190350Z  - 
2022-11-23T01:32:31.7190501Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7190581Z             {
2022-11-23T01:32:31.7190751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7190862Z                 'code': None,
2022-11-23T01:32:31.7191067Z                 'obj_weakref': <weakref at 0x7f1ffad3a160; to 'Tensor' at 0x7f201e3d4180>
2022-11-23T01:32:31.7191319Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7191392Z             }
2022-11-23T01:32:31.7191458Z             
2022-11-23T01:32:31.7191533Z  - 
2022-11-23T01:32:31.7191673Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7191744Z             {
2022-11-23T01:32:31.7191877Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7192057Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7192187Z                 'obj_weakref': None
2022-11-23T01:32:31.7192421Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7192491Z             }
2022-11-23T01:32:31.7192559Z             
2022-11-23T01:32:31.7192633Z  - 
2022-11-23T01:32:31.7192753Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7192821Z             {
2022-11-23T01:32:31.7192963Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7193183Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7193307Z                 'obj_weakref': None
2022-11-23T01:32:31.7193529Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7193598Z             }
2022-11-23T01:32:31.7193659Z             
2022-11-23T01:32:31.7193733Z  - 
2022-11-23T01:32:31.7193866Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7193936Z             {
2022-11-23T01:32:31.7194066Z                 'guard_types': None,
2022-11-23T01:32:31.7194179Z                 'code': None,
2022-11-23T01:32:31.7194301Z                 'obj_weakref': None
2022-11-23T01:32:31.7194419Z                 'guarded_class': None
2022-11-23T01:32:31.7194488Z             }
2022-11-23T01:32:31.7194553Z             
2022-11-23T01:32:31.7194814Z [2022-11-23 01:30:00,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 594
2022-11-23T01:32:31.7195063Z [2022-11-23 01:30:00,845] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7195069Z 
2022-11-23T01:32:31.7195167Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7195241Z import torch
2022-11-23T01:32:31.7195313Z import random
2022-11-23T01:32:31.7195430Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7195557Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7195562Z 
2022-11-23T01:32:31.7195648Z aten = torch.ops.aten
2022-11-23T01:32:31.7195790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7195892Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7195897Z 
2022-11-23T01:32:31.7195972Z import triton
2022-11-23T01:32:31.7196069Z import triton.language as tl
2022-11-23T01:32:31.7196190Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7196333Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7196339Z 
2022-11-23T01:32:31.7196343Z 
2022-11-23T01:32:31.7196550Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7196626Z import triton
2022-11-23T01:32:31.7196719Z import triton.language as tl
2022-11-23T01:32:31.7196834Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7196937Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7197075Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7197229Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7197235Z 
2022-11-23T01:32:31.7197647Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7197723Z @triton.jit
2022-11-23T01:32:31.7197869Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7197946Z     xnumel = 17920
2022-11-23T01:32:31.7198048Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7198183Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7198266Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7198338Z     x3 = xindex % 2240
2022-11-23T01:32:31.7198426Z     x1 = (xindex // 56) % 40
2022-11-23T01:32:31.7198502Z     x0 = xindex % 56
2022-11-23T01:32:31.7198588Z     x2 = (xindex // 2240)
2022-11-23T01:32:31.7198659Z     x5 = xindex
2022-11-23T01:32:31.7198731Z     tmp0 = x3
2022-11-23T01:32:31.7198804Z     tmp1 = (x1 // 2)
2022-11-23T01:32:31.7198878Z     tmp2 = (x0 // 2)
2022-11-23T01:32:31.7198962Z     tmp3 = 1 + (((1 + x1) // 2))
2022-11-23T01:32:31.7199043Z     tmp4 = 1 + (((1 + x0) // 2))
2022-11-23T01:32:31.7199114Z     tmp5 = 0
2022-11-23T01:32:31.7199208Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7199298Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7199363Z     tmp8 = 21
2022-11-23T01:32:31.7199454Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7199526Z     tmp10 = 29
2022-11-23T01:32:31.7199620Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7199701Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7199781Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7199852Z     tmp14 = 1
2022-11-23T01:32:31.7199960Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7200057Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7200170Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7200263Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7200426Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7200578Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7200661Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7200727Z     tmp22 = 0.0
2022-11-23T01:32:31.7200829Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7200911Z     tmp24 = tmp7 + tmp14
2022-11-23T01:32:31.7201004Z     tmp25 = tl.minimum(tmp24, tmp17)
2022-11-23T01:32:31.7201156Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7201303Z     tmp27 = tl.load(in_ptr1 + (tmp25 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7201384Z     tmp28 = tmp26 == tmp0
2022-11-23T01:32:31.7201459Z     tmp29 = tmp12 < tmp9
2022-11-23T01:32:31.7201540Z     tmp30 = tmp24 < tmp11
2022-11-23T01:32:31.7201618Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.7201697Z     tmp32 = tmp31 & tmp28
2022-11-23T01:32:31.7201779Z     tmp33 = tmp23 + tmp27
2022-11-23T01:32:31.7201879Z     tmp34 = tl.where(tmp32, tmp33, tmp23)
2022-11-23T01:32:31.7201959Z     tmp35 = tmp6 + tmp14
2022-11-23T01:32:31.7202047Z     tmp36 = tl.minimum(tmp35, tmp15)
2022-11-23T01:32:31.7202193Z     tmp37 = tl.load(in_ptr0 + (tmp18 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7202337Z     tmp38 = tl.load(in_ptr1 + (tmp18 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7202418Z     tmp39 = tmp37 == tmp0
2022-11-23T01:32:31.7202497Z     tmp40 = tmp35 < tmp9
2022-11-23T01:32:31.7202577Z     tmp41 = tmp13 < tmp11
2022-11-23T01:32:31.7202655Z     tmp42 = tmp40 & tmp41
2022-11-23T01:32:31.7202727Z     tmp43 = tmp42 & tmp39
2022-11-23T01:32:31.7202805Z     tmp44 = tmp34 + tmp38
2022-11-23T01:32:31.7202905Z     tmp45 = tl.where(tmp43, tmp44, tmp34)
2022-11-23T01:32:31.7203086Z     tmp46 = tl.load(in_ptr0 + (tmp25 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7203254Z     tmp47 = tl.load(in_ptr1 + (tmp25 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7203334Z     tmp48 = tmp46 == tmp0
2022-11-23T01:32:31.7203413Z     tmp49 = tmp40 & tmp30
2022-11-23T01:32:31.7203486Z     tmp50 = tmp49 & tmp48
2022-11-23T01:32:31.7203565Z     tmp51 = tmp45 + tmp47
2022-11-23T01:32:31.7203664Z     tmp52 = tl.where(tmp50, tmp51, tmp45)
2022-11-23T01:32:31.7203804Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp52, xmask)
2022-11-23T01:32:31.7203893Z ''')
2022-11-23T01:32:31.7203899Z 
2022-11-23T01:32:31.7203903Z 
2022-11-23T01:32:31.7203994Z async_compile.wait(globals())
2022-11-23T01:32:31.7204074Z del async_compile
2022-11-23T01:32:31.7204079Z 
2022-11-23T01:32:31.7204156Z def call(args):
2022-11-23T01:32:31.7204237Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7204313Z     args.clear()
2022-11-23T01:32:31.7204543Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7204639Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7204823Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 17920, grid=grid(17920), stream=stream0)
2022-11-23T01:32:31.7204896Z     del arg0_1
2022-11-23T01:32:31.7204968Z     del arg2_1
2022-11-23T01:32:31.7205038Z     return (buf0, )
2022-11-23T01:32:31.7205049Z 
2022-11-23T01:32:31.7205054Z 
2022-11-23T01:32:31.7205128Z if __name__ == "__main__":
2022-11-23T01:32:31.7205247Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7205376Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7205601Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7205826Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7206046Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7206180Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7206185Z 
2022-11-23T01:32:31.7206562Z [2022-11-23 01:30:01,009] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crblvmj2ciplalbwntobwxjigjhyxtcfr7nkgshegrretvb2kvb3.py
2022-11-23T01:32:31.7206825Z [2022-11-23 01:30:01,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 594
2022-11-23T01:32:31.7206838Z 
2022-11-23T01:32:31.7206931Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7207005Z import torch
2022-11-23T01:32:31.7207081Z import random
2022-11-23T01:32:31.7207203Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7207327Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7207332Z 
2022-11-23T01:32:31.7207415Z aten = torch.ops.aten
2022-11-23T01:32:31.7207553Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7207646Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7207653Z 
2022-11-23T01:32:31.7207728Z import triton
2022-11-23T01:32:31.7207822Z import triton.language as tl
2022-11-23T01:32:31.7207949Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7208093Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7208098Z 
2022-11-23T01:32:31.7208103Z 
2022-11-23T01:32:31.7208309Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7208384Z import triton
2022-11-23T01:32:31.7208478Z import triton.language as tl
2022-11-23T01:32:31.7208587Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7208695Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7208828Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7208955Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7208960Z 
2022-11-23T01:32:31.7209372Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7209477Z @triton.jit
2022-11-23T01:32:31.7209623Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7209698Z     xnumel = 17920
2022-11-23T01:32:31.7209795Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7209928Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7210011Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7210093Z     x3 = xindex % 2240
2022-11-23T01:32:31.7210175Z     x1 = (xindex // 56) % 40
2022-11-23T01:32:31.7210251Z     x0 = xindex % 56
2022-11-23T01:32:31.7210335Z     x2 = (xindex // 2240)
2022-11-23T01:32:31.7210400Z     x5 = xindex
2022-11-23T01:32:31.7210472Z     tmp0 = x3
2022-11-23T01:32:31.7210548Z     tmp1 = (x1 // 2)
2022-11-23T01:32:31.7210622Z     tmp2 = (x0 // 2)
2022-11-23T01:32:31.7210708Z     tmp3 = 1 + (((1 + x1) // 2))
2022-11-23T01:32:31.7210791Z     tmp4 = 1 + (((1 + x0) // 2))
2022-11-23T01:32:31.7210856Z     tmp5 = 0
2022-11-23T01:32:31.7210950Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7211043Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7211115Z     tmp8 = 21
2022-11-23T01:32:31.7211202Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7211274Z     tmp10 = 29
2022-11-23T01:32:31.7211369Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7211443Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7211527Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7211597Z     tmp14 = 1
2022-11-23T01:32:31.7211712Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7211807Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7211922Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7212016Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7212163Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7212337Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7212422Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7212496Z     tmp22 = 0.0
2022-11-23T01:32:31.7212595Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7212677Z     tmp24 = tmp7 + tmp14
2022-11-23T01:32:31.7212769Z     tmp25 = tl.minimum(tmp24, tmp17)
2022-11-23T01:32:31.7212916Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7213083Z     tmp27 = tl.load(in_ptr1 + (tmp25 + (29*tmp16) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7213163Z     tmp28 = tmp26 == tmp0
2022-11-23T01:32:31.7213244Z     tmp29 = tmp12 < tmp9
2022-11-23T01:32:31.7213324Z     tmp30 = tmp24 < tmp11
2022-11-23T01:32:31.7213405Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.7213482Z     tmp32 = tmp31 & tmp28
2022-11-23T01:32:31.7213554Z     tmp33 = tmp23 + tmp27
2022-11-23T01:32:31.7213657Z     tmp34 = tl.where(tmp32, tmp33, tmp23)
2022-11-23T01:32:31.7213741Z     tmp35 = tmp6 + tmp14
2022-11-23T01:32:31.7213832Z     tmp36 = tl.minimum(tmp35, tmp15)
2022-11-23T01:32:31.7213983Z     tmp37 = tl.load(in_ptr0 + (tmp18 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7214143Z     tmp38 = tl.load(in_ptr1 + (tmp18 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7214223Z     tmp39 = tmp37 == tmp0
2022-11-23T01:32:31.7214304Z     tmp40 = tmp35 < tmp9
2022-11-23T01:32:31.7214377Z     tmp41 = tmp13 < tmp11
2022-11-23T01:32:31.7214455Z     tmp42 = tmp40 & tmp41
2022-11-23T01:32:31.7214533Z     tmp43 = tmp42 & tmp39
2022-11-23T01:32:31.7214610Z     tmp44 = tmp34 + tmp38
2022-11-23T01:32:31.7214709Z     tmp45 = tl.where(tmp43, tmp44, tmp34)
2022-11-23T01:32:31.7214862Z     tmp46 = tl.load(in_ptr0 + (tmp25 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7215055Z     tmp47 = tl.load(in_ptr1 + (tmp25 + (29*tmp36) + (609*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7215149Z     tmp48 = tmp46 == tmp0
2022-11-23T01:32:31.7215230Z     tmp49 = tmp40 & tmp30
2022-11-23T01:32:31.7215308Z     tmp50 = tmp49 & tmp48
2022-11-23T01:32:31.7215386Z     tmp51 = tmp45 + tmp47
2022-11-23T01:32:31.7215485Z     tmp52 = tl.where(tmp50, tmp51, tmp45)
2022-11-23T01:32:31.7215625Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp52, xmask)
2022-11-23T01:32:31.7215717Z ''')
2022-11-23T01:32:31.7215722Z 
2022-11-23T01:32:31.7215727Z 
2022-11-23T01:32:31.7215813Z async_compile.wait(globals())
2022-11-23T01:32:31.7215892Z del async_compile
2022-11-23T01:32:31.7215898Z 
2022-11-23T01:32:31.7215973Z def call(args):
2022-11-23T01:32:31.7216062Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7216140Z     args.clear()
2022-11-23T01:32:31.7216365Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7216460Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7216645Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 17920, grid=grid(17920), stream=stream0)
2022-11-23T01:32:31.7216712Z     del arg0_1
2022-11-23T01:32:31.7216783Z     del arg2_1
2022-11-23T01:32:31.7216859Z     return (buf0, )
2022-11-23T01:32:31.7216865Z 
2022-11-23T01:32:31.7216869Z 
2022-11-23T01:32:31.7216951Z if __name__ == "__main__":
2022-11-23T01:32:31.7217069Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7217199Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7217419Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7217634Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7217850Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7217983Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7217991Z 
2022-11-23T01:32:31.7218062Z ok (0.456s)
2022-11-23T01:32:31.7218409Z   test_max_pool2d_with_indices_backward3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:01,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7218728Z [2022-11-23 01:30:01,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7219067Z [2022-11-23 01:30:01,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7219322Z [2022-11-23 01:30:01,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7219599Z [2022-11-23 01:30:01,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7219920Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7220258Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7220575Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7220944Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958> 
2022-11-23T01:32:31.7221047Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7221184Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7221189Z 
2022-11-23T01:32:31.7221289Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7221432Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7221554Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7221649Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7221736Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7221830Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7221922Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7222012Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7222103Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:31.7222192Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:31.7222285Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7222379Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7222488Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7222592Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7222704Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7222797Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7222806Z 
2022-11-23T01:32:31.7222900Z 3959          36 CALL_METHOD              8
2022-11-23T01:32:31.7222983Z               38 RETURN_VALUE
2022-11-23T01:32:31.7223043Z  
2022-11-23T01:32:31.7223056Z 
2022-11-23T01:32:31.7223362Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:31.7223579Z [2022-11-23 01:30:01,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7223922Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7224234Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960
2022-11-23T01:32:31.7224527Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7224849Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7225193Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7225572Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7225982Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7226351Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7226752Z [2022-11-23 01:30:01,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7227185Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7227563Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7228008Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7228486Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7228895Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7229339Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7229819Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7230321Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7230837Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7231148Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:31.7231653Z [2022-11-23 01:30:01,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7231907Z [2022-11-23 01:30:01,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7232282Z [2022-11-23 01:30:01,134] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958>
2022-11-23T01:32:31.7232550Z [2022-11-23 01:30:01,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7232812Z [2022-11-23 01:30:01,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7233069Z [2022-11-23 01:30:01,135] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7233325Z [2022-11-23 01:30:01,138] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7233514Z [2022-11-23 01:30:01,138] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7233653Z  __compiled_fn_612 <eval_with_key>.3791 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7233747Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7233843Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7233935Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7234142Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7234286Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7234292Z 
2022-11-23T01:32:31.7234645Z [2022-11-23 01:30:01,138] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7234760Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7234856Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7234949Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7235049Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7235140Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7235235Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7235317Z              12 RETURN_VALUE
2022-11-23T01:32:31.7235322Z 
2022-11-23T01:32:31.7235380Z  
2022-11-23T01:32:31.7235702Z [2022-11-23 01:30:01,138] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7235819Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_612)
2022-11-23T01:32:31.7235919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7236018Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7236103Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7236195Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7236290Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7236364Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7236457Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7236550Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7236632Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7236726Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7236825Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7236903Z              24 RETURN_VALUE
2022-11-23T01:32:31.7236909Z 
2022-11-23T01:32:31.7236967Z  
2022-11-23T01:32:31.7237157Z [2022-11-23 01:30:01,139] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7237232Z  - 
2022-11-23T01:32:31.7237355Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7237426Z             {
2022-11-23T01:32:31.7237570Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7237765Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7237883Z                 'obj_weakref': None
2022-11-23T01:32:31.7238111Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7238179Z             }
2022-11-23T01:32:31.7238248Z             
2022-11-23T01:32:31.7238324Z  - 
2022-11-23T01:32:31.7238455Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7238522Z             {
2022-11-23T01:32:31.7238664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7238775Z                 'code': None,
2022-11-23T01:32:31.7238993Z                 'obj_weakref': <weakref at 0x7f1ffad47c90; to 'Tensor' at 0x7f1fead0bec0>
2022-11-23T01:32:31.7239245Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7239314Z             }
2022-11-23T01:32:31.7239384Z             
2022-11-23T01:32:31.7239458Z  - 
2022-11-23T01:32:31.7239578Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7239646Z             {
2022-11-23T01:32:31.7239795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7239907Z                 'code': None,
2022-11-23T01:32:31.7240121Z                 'obj_weakref': <weakref at 0x7f1fead71620; to 'Tensor' at 0x7f1fd9a5aed0>
2022-11-23T01:32:31.7240371Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7240439Z             }
2022-11-23T01:32:31.7240500Z             
2022-11-23T01:32:31.7240574Z  - 
2022-11-23T01:32:31.7240702Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7240770Z             {
2022-11-23T01:32:31.7240917Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7241028Z                 'code': None,
2022-11-23T01:32:31.7241276Z                 'obj_weakref': <weakref at 0x7f1ffad2cc70; to 'Tensor' at 0x7f1fd8c253f0>
2022-11-23T01:32:31.7241542Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7241611Z             }
2022-11-23T01:32:31.7241677Z             
2022-11-23T01:32:31.7241752Z  - 
2022-11-23T01:32:31.7241887Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7241955Z             {
2022-11-23T01:32:31.7242096Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7242264Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7242387Z                 'obj_weakref': None
2022-11-23T01:32:31.7242621Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7242691Z             }
2022-11-23T01:32:31.7242758Z             
2022-11-23T01:32:31.7242833Z  - 
2022-11-23T01:32:31.7242960Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7243023Z             {
2022-11-23T01:32:31.7243165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7243387Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7243515Z                 'obj_weakref': None
2022-11-23T01:32:31.7243739Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7243807Z             }
2022-11-23T01:32:31.7243873Z             
2022-11-23T01:32:31.7243941Z  - 
2022-11-23T01:32:31.7244077Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7244146Z             {
2022-11-23T01:32:31.7244270Z                 'guard_types': None,
2022-11-23T01:32:31.7244382Z                 'code': None,
2022-11-23T01:32:31.7244506Z                 'obj_weakref': None
2022-11-23T01:32:31.7244633Z                 'guarded_class': None
2022-11-23T01:32:31.7244694Z             }
2022-11-23T01:32:31.7244761Z             
2022-11-23T01:32:31.7245029Z [2022-11-23 01:30:01,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 595
2022-11-23T01:32:31.7245286Z [2022-11-23 01:30:01,175] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7245655Z [2022-11-23 01:30:01,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilnztozco6tccr4yigpmb7q7sqfpahthto432jq76jlauplmxbf.py
2022-11-23T01:32:31.7245925Z [2022-11-23 01:30:01,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 595
2022-11-23T01:32:31.7246166Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7246484Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7246706Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7246959Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7247241Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7247563Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7247912Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7248235Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7248641Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958> 
2022-11-23T01:32:31.7248766Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7248902Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7248908Z 
2022-11-23T01:32:31.7249007Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7249096Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7249191Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7249285Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7249378Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7249469Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7249563Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7249655Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7249746Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:31.7249830Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:31.7249924Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7250020Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7250110Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7250204Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7250303Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7250393Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7250399Z 
2022-11-23T01:32:31.7250485Z 3959          36 CALL_METHOD              8
2022-11-23T01:32:31.7250566Z               38 RETURN_VALUE
2022-11-23T01:32:31.7250631Z  
2022-11-23T01:32:31.7250637Z 
2022-11-23T01:32:31.7250958Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:31.7251180Z [2022-11-23 01:30:01,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7251535Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7251857Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960
2022-11-23T01:32:31.7252154Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7252476Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7252828Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7253201Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7253622Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7253989Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7254390Z [2022-11-23 01:30:01,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7254848Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7255266Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7255689Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7256147Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7256554Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7256999Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7257475Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7257916Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7258387Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7258702Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:32:31.7259320Z [2022-11-23 01:30:01,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7259571Z [2022-11-23 01:30:01,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7259945Z [2022-11-23 01:30:01,303] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958>
2022-11-23T01:32:31.7260189Z [2022-11-23 01:30:01,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7260424Z [2022-11-23 01:30:01,303] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7260680Z [2022-11-23 01:30:01,304] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7260930Z [2022-11-23 01:30:01,307] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7261122Z [2022-11-23 01:30:01,307] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7261264Z  __compiled_fn_613 <eval_with_key>.3797 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7261361Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7261454Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7261545Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7261783Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7261978Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7261984Z 
2022-11-23T01:32:31.7262306Z [2022-11-23 01:30:01,307] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7262406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7262502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7262597Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7262695Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7262786Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7262873Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7262954Z              12 RETURN_VALUE
2022-11-23T01:32:31.7262959Z 
2022-11-23T01:32:31.7263027Z  
2022-11-23T01:32:31.7263346Z [2022-11-23 01:30:01,307] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7263465Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_613)
2022-11-23T01:32:31.7263560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7263656Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7263731Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7263827Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7263921Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7264000Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7264092Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7264185Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7264265Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7264358Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7264451Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7264534Z              24 RETURN_VALUE
2022-11-23T01:32:31.7264540Z 
2022-11-23T01:32:31.7264606Z  
2022-11-23T01:32:31.7264792Z [2022-11-23 01:30:01,308] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7264866Z  - 
2022-11-23T01:32:31.7264990Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7265057Z             {
2022-11-23T01:32:31.7265194Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7265386Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7265511Z                 'obj_weakref': None
2022-11-23T01:32:31.7265737Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7265805Z             }
2022-11-23T01:32:31.7265876Z             
2022-11-23T01:32:31.7265952Z  - 
2022-11-23T01:32:31.7266073Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7266141Z             {
2022-11-23T01:32:31.7266290Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7266402Z                 'code': None,
2022-11-23T01:32:31.7266616Z                 'obj_weakref': <weakref at 0x7f1ffad5ca90; to 'Tensor' at 0x7f201e3a4090>
2022-11-23T01:32:31.7266865Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7266933Z             }
2022-11-23T01:32:31.7266995Z             
2022-11-23T01:32:31.7267069Z  - 
2022-11-23T01:32:31.7267192Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7267259Z             {
2022-11-23T01:32:31.7267405Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7267515Z                 'code': None,
2022-11-23T01:32:31.7267726Z                 'obj_weakref': <weakref at 0x7f1ffad5c950; to 'Tensor' at 0x7f1ffad3ba10>
2022-11-23T01:32:31.7267970Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7268071Z             }
2022-11-23T01:32:31.7268144Z             
2022-11-23T01:32:31.7268241Z  - 
2022-11-23T01:32:31.7268369Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7268438Z             {
2022-11-23T01:32:31.7268582Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7268686Z                 'code': None,
2022-11-23T01:32:31.7268901Z                 'obj_weakref': <weakref at 0x7f1ffad2cc70; to 'Tensor' at 0x7f1fd8c253f0>
2022-11-23T01:32:31.7269149Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7269218Z             }
2022-11-23T01:32:31.7269285Z             
2022-11-23T01:32:31.7269359Z  - 
2022-11-23T01:32:31.7269495Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7269556Z             {
2022-11-23T01:32:31.7269696Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7269873Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7270000Z                 'obj_weakref': None
2022-11-23T01:32:31.7270238Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7270381Z             }
2022-11-23T01:32:31.7270466Z             
2022-11-23T01:32:31.7270545Z  - 
2022-11-23T01:32:31.7270668Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7270737Z             {
2022-11-23T01:32:31.7270883Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7271104Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7271228Z                 'obj_weakref': None
2022-11-23T01:32:31.7271454Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7271515Z             }
2022-11-23T01:32:31.7271583Z             
2022-11-23T01:32:31.7271657Z  - 
2022-11-23T01:32:31.7271794Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7271866Z             {
2022-11-23T01:32:31.7271996Z                 'guard_types': None,
2022-11-23T01:32:31.7272111Z                 'code': None,
2022-11-23T01:32:31.7272226Z                 'obj_weakref': None
2022-11-23T01:32:31.7272351Z                 'guarded_class': None
2022-11-23T01:32:31.7272419Z             }
2022-11-23T01:32:31.7272486Z             
2022-11-23T01:32:31.7272751Z [2022-11-23 01:30:01,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 596
2022-11-23T01:32:31.7273002Z [2022-11-23 01:30:01,329] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7273369Z [2022-11-23 01:30:01,445] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckcpxmdajgqm4u3wvaas5mi4ao5dwrlpe7442lsa7usljpsx4uu4.py
2022-11-23T01:32:31.7273632Z [2022-11-23 01:30:01,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 596
2022-11-23T01:32:31.7273644Z 
2022-11-23T01:32:31.7273739Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7273813Z import torch
2022-11-23T01:32:31.7273889Z import random
2022-11-23T01:32:31.7274010Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7274138Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7274143Z 
2022-11-23T01:32:31.7274227Z aten = torch.ops.aten
2022-11-23T01:32:31.7274364Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7274455Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7274460Z 
2022-11-23T01:32:31.7274534Z import triton
2022-11-23T01:32:31.7274627Z import triton.language as tl
2022-11-23T01:32:31.7274755Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7274899Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7274904Z 
2022-11-23T01:32:31.7274909Z 
2022-11-23T01:32:31.7275115Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7275192Z import triton
2022-11-23T01:32:31.7275318Z import triton.language as tl
2022-11-23T01:32:31.7275451Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7275555Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7275690Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7275817Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7275823Z 
2022-11-23T01:32:31.7276219Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7276295Z @triton.jit
2022-11-23T01:32:31.7276444Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7276522Z     xnumel = 11517952
2022-11-23T01:32:31.7276615Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7276750Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7276838Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7276915Z     x3 = xindex % 1406
2022-11-23T01:32:31.7276997Z     x1 = (xindex // 38) % 37
2022-11-23T01:32:31.7277072Z     x0 = xindex % 38
2022-11-23T01:32:31.7277154Z     x2 = (xindex // 1406)
2022-11-23T01:32:31.7277218Z     x5 = xindex
2022-11-23T01:32:31.7277291Z     tmp0 = x3
2022-11-23T01:32:31.7277372Z     tmp1 = ((1 + x1) // 2)
2022-11-23T01:32:31.7277450Z     tmp2 = ((1 + x0) // 2)
2022-11-23T01:32:31.7277529Z     tmp3 = 1 + (x1 // 2)
2022-11-23T01:32:31.7277604Z     tmp4 = 1 + (x0 // 2)
2022-11-23T01:32:31.7277668Z     tmp5 = 0
2022-11-23T01:32:31.7277763Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7277856Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7277927Z     tmp8 = 19
2022-11-23T01:32:31.7278019Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7278113Z     tmp10 = tl.minimum(tmp4, tmp8)
2022-11-23T01:32:31.7278193Z     tmp11 = tmp6 + tmp5
2022-11-23T01:32:31.7278265Z     tmp12 = tmp7 + tmp5
2022-11-23T01:32:31.7278337Z     tmp13 = 1
2022-11-23T01:32:31.7278451Z     tmp14 = tmp9 - tmp13
2022-11-23T01:32:31.7278547Z     tmp15 = tl.minimum(tmp11, tmp14)
2022-11-23T01:32:31.7278661Z     tmp16 = tmp10 - tmp13
2022-11-23T01:32:31.7278757Z     tmp17 = tl.minimum(tmp12, tmp16)
2022-11-23T01:32:31.7278914Z     tmp18 = tl.load(in_ptr0 + (tmp17 + (19*tmp15) + (361*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7279054Z     tmp19 = tl.load(in_ptr1 + (tmp17 + (19*tmp15) + (361*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7279135Z     tmp20 = tmp18 == tmp0
2022-11-23T01:32:31.7279207Z     tmp21 = 0.0
2022-11-23T01:32:31.7279309Z     tmp22 = tl.where(tmp20, tmp19, tmp21)
2022-11-23T01:32:31.7279446Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp22, xmask)
2022-11-23T01:32:31.7279531Z ''')
2022-11-23T01:32:31.7279536Z 
2022-11-23T01:32:31.7279541Z 
2022-11-23T01:32:31.7279638Z async_compile.wait(globals())
2022-11-23T01:32:31.7279715Z del async_compile
2022-11-23T01:32:31.7279722Z 
2022-11-23T01:32:31.7279790Z def call(args):
2022-11-23T01:32:31.7279882Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7279957Z     args.clear()
2022-11-23T01:32:31.7280187Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7280280Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7280465Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 11517952, grid=grid(11517952), stream=stream0)
2022-11-23T01:32:31.7280539Z     del arg0_1
2022-11-23T01:32:31.7280604Z     del arg2_1
2022-11-23T01:32:31.7280681Z     return (buf0, )
2022-11-23T01:32:31.7280686Z 
2022-11-23T01:32:31.7280691Z 
2022-11-23T01:32:31.7280771Z if __name__ == "__main__":
2022-11-23T01:32:31.7280892Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7281022Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7281282Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7281530Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7281752Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7281875Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7281890Z 
2022-11-23T01:32:31.7281895Z 
2022-11-23T01:32:31.7281996Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7282087Z import torch
2022-11-23T01:32:31.7282166Z import random
2022-11-23T01:32:31.7282311Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7282435Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7282440Z 
2022-11-23T01:32:31.7282525Z aten = torch.ops.aten
2022-11-23T01:32:31.7282663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7282753Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7282758Z 
2022-11-23T01:32:31.7282833Z import triton
2022-11-23T01:32:31.7282928Z import triton.language as tl
2022-11-23T01:32:31.7283058Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7283199Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7283205Z 
2022-11-23T01:32:31.7283209Z 
2022-11-23T01:32:31.7283412Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7283488Z import triton
2022-11-23T01:32:31.7283581Z import triton.language as tl
2022-11-23T01:32:31.7283689Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7283791Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7283925Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7284052Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7284058Z 
2022-11-23T01:32:31.7284445Z @pointwise(size_hints=[16777216], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7284523Z @triton.jit
2022-11-23T01:32:31.7284670Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7284748Z     xnumel = 11517952
2022-11-23T01:32:31.7284839Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7284971Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7285055Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7285133Z     x3 = xindex % 1406
2022-11-23T01:32:31.7285215Z     x1 = (xindex // 38) % 37
2022-11-23T01:32:31.7285289Z     x0 = xindex % 38
2022-11-23T01:32:31.7285368Z     x2 = (xindex // 1406)
2022-11-23T01:32:31.7285432Z     x5 = xindex
2022-11-23T01:32:31.7285505Z     tmp0 = x3
2022-11-23T01:32:31.7285584Z     tmp1 = ((1 + x1) // 2)
2022-11-23T01:32:31.7285661Z     tmp2 = ((1 + x0) // 2)
2022-11-23T01:32:31.7285739Z     tmp3 = 1 + (x1 // 2)
2022-11-23T01:32:31.7285817Z     tmp4 = 1 + (x0 // 2)
2022-11-23T01:32:31.7285884Z     tmp5 = 0
2022-11-23T01:32:31.7285978Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7286072Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7286144Z     tmp8 = 19
2022-11-23T01:32:31.7286235Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7286328Z     tmp10 = tl.minimum(tmp4, tmp8)
2022-11-23T01:32:31.7286409Z     tmp11 = tmp6 + tmp5
2022-11-23T01:32:31.7286482Z     tmp12 = tmp7 + tmp5
2022-11-23T01:32:31.7286551Z     tmp13 = 1
2022-11-23T01:32:31.7286665Z     tmp14 = tmp9 - tmp13
2022-11-23T01:32:31.7286762Z     tmp15 = tl.minimum(tmp11, tmp14)
2022-11-23T01:32:31.7286875Z     tmp16 = tmp10 - tmp13
2022-11-23T01:32:31.7286973Z     tmp17 = tl.minimum(tmp12, tmp16)
2022-11-23T01:32:31.7287125Z     tmp18 = tl.load(in_ptr0 + (tmp17 + (19*tmp15) + (361*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7287315Z     tmp19 = tl.load(in_ptr1 + (tmp17 + (19*tmp15) + (361*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7287398Z     tmp20 = tmp18 == tmp0
2022-11-23T01:32:31.7287493Z     tmp21 = 0.0
2022-11-23T01:32:31.7287592Z     tmp22 = tl.where(tmp20, tmp19, tmp21)
2022-11-23T01:32:31.7287730Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp22, xmask)
2022-11-23T01:32:31.7287818Z ''')
2022-11-23T01:32:31.7287823Z 
2022-11-23T01:32:31.7287828Z 
2022-11-23T01:32:31.7287919Z async_compile.wait(globals())
2022-11-23T01:32:31.7287995Z del async_compile
2022-11-23T01:32:31.7288000Z 
2022-11-23T01:32:31.7288068Z def call(args):
2022-11-23T01:32:31.7288156Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7288230Z     args.clear()
2022-11-23T01:32:31.7288461Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7288552Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7288734Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 11517952, grid=grid(11517952), stream=stream0)
2022-11-23T01:32:31.7288808Z     del arg0_1
2022-11-23T01:32:31.7288876Z     del arg2_1
2022-11-23T01:32:31.7288951Z     return (buf0, )
2022-11-23T01:32:31.7288957Z 
2022-11-23T01:32:31.7288961Z 
2022-11-23T01:32:31.7289043Z if __name__ == "__main__":
2022-11-23T01:32:31.7289163Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7289293Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7289521Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7289751Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7289973Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7290095Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7290106Z 
2022-11-23T01:32:31.7290171Z ok (0.443s)
2022-11-23T01:32:31.7290526Z   test_max_pool2d_with_indices_backward4_cuda (__main__.CudaTests) ... [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7290847Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7291068Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7291323Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7291598Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7291913Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7292259Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7292627Z [2022-11-23 01:30:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7292994Z [2022-11-23 01:30:01,459] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983> 
2022-11-23T01:32:31.7293090Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7293228Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7293233Z 
2022-11-23T01:32:31.7293333Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7293427Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7293522Z                8 LOAD_CONST               1 (5)
2022-11-23T01:32:31.7293642Z               10 LOAD_CONST               1 (5)
2022-11-23T01:32:31.7293739Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7293857Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7293943Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7294035Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7294127Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7294219Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7294310Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7294403Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7294494Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7294578Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7294677Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7294770Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7294775Z 
2022-11-23T01:32:31.7294872Z 3984          36 CALL_METHOD              8
2022-11-23T01:32:31.7294955Z               38 RETURN_VALUE
2022-11-23T01:32:31.7295023Z  
2022-11-23T01:32:31.7295029Z 
2022-11-23T01:32:31.7295345Z [2022-11-23 01:30:01,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:31.7295564Z [2022-11-23 01:30:01,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7295899Z [2022-11-23 01:30:01,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7296211Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985
2022-11-23T01:32:31.7296501Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7296815Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7297159Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7297539Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7297949Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7298314Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7298714Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7299263Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7299649Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7300070Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7300560Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7301004Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7301448Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7301925Z [2022-11-23 01:30:01,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7302360Z [2022-11-23 01:30:01,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7302827Z [2022-11-23 01:30:01,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7303137Z [2022-11-23 01:30:01,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:31.7303639Z [2022-11-23 01:30:01,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7303889Z [2022-11-23 01:30:01,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7304262Z [2022-11-23 01:30:01,467] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983>
2022-11-23T01:32:31.7304507Z [2022-11-23 01:30:01,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7304739Z [2022-11-23 01:30:01,467] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7304990Z [2022-11-23 01:30:01,468] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7305244Z [2022-11-23 01:30:01,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7305434Z [2022-11-23 01:30:01,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7305580Z  __compiled_fn_614 <eval_with_key>.3803 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7305668Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7305761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7305851Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7306058Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7306199Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7306205Z 
2022-11-23T01:32:31.7306528Z [2022-11-23 01:30:01,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7306629Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7306754Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7306862Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7306962Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7307054Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7307148Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7307230Z              12 RETURN_VALUE
2022-11-23T01:32:31.7307235Z 
2022-11-23T01:32:31.7307300Z  
2022-11-23T01:32:31.7307619Z [2022-11-23 01:30:01,471] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7307730Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_614)
2022-11-23T01:32:31.7307831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7307926Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7308008Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7308100Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7308197Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7308283Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7308375Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7308462Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7308542Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7308634Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7308728Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7308810Z              24 RETURN_VALUE
2022-11-23T01:32:31.7308815Z 
2022-11-23T01:32:31.7308883Z  
2022-11-23T01:32:31.7309075Z [2022-11-23 01:30:01,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7309143Z  - 
2022-11-23T01:32:31.7309267Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7309338Z             {
2022-11-23T01:32:31.7309484Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7309678Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7309801Z                 'obj_weakref': None
2022-11-23T01:32:31.7310029Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7310092Z             }
2022-11-23T01:32:31.7310158Z             
2022-11-23T01:32:31.7310239Z  - 
2022-11-23T01:32:31.7310453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7310535Z             {
2022-11-23T01:32:31.7310704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7310840Z                 'code': None,
2022-11-23T01:32:31.7311053Z                 'obj_weakref': <weakref at 0x7f1ffad5d620; to 'Tensor' at 0x7f1fd8c253f0>
2022-11-23T01:32:31.7311305Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7311375Z             }
2022-11-23T01:32:31.7311443Z             
2022-11-23T01:32:31.7311518Z  - 
2022-11-23T01:32:31.7311646Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7311717Z             {
2022-11-23T01:32:31.7311858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7311968Z                 'code': None,
2022-11-23T01:32:31.7312180Z                 'obj_weakref': <weakref at 0x7f1ffad5ebb0; to 'Tensor' at 0x7f1ff818c400>
2022-11-23T01:32:31.7312432Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7312501Z             }
2022-11-23T01:32:31.7312566Z             
2022-11-23T01:32:31.7312642Z  - 
2022-11-23T01:32:31.7312762Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7312831Z             {
2022-11-23T01:32:31.7312975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7313084Z                 'code': None,
2022-11-23T01:32:31.7313295Z                 'obj_weakref': <weakref at 0x7f1fead70c70; to 'Tensor' at 0x7f201e3a4090>
2022-11-23T01:32:31.7313580Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7313675Z             }
2022-11-23T01:32:31.7313736Z             
2022-11-23T01:32:31.7313812Z  - 
2022-11-23T01:32:31.7313947Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7314014Z             {
2022-11-23T01:32:31.7314155Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7314331Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7314454Z                 'obj_weakref': None
2022-11-23T01:32:31.7314676Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7314745Z             }
2022-11-23T01:32:31.7314814Z             
2022-11-23T01:32:31.7314888Z  - 
2022-11-23T01:32:31.7315015Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7315087Z             {
2022-11-23T01:32:31.7315224Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7315435Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7315559Z                 'obj_weakref': None
2022-11-23T01:32:31.7315781Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7315850Z             }
2022-11-23T01:32:31.7315918Z             
2022-11-23T01:32:31.7315992Z  - 
2022-11-23T01:32:31.7316126Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7316187Z             {
2022-11-23T01:32:31.7316309Z                 'guard_types': None,
2022-11-23T01:32:31.7316418Z                 'code': None,
2022-11-23T01:32:31.7316537Z                 'obj_weakref': None
2022-11-23T01:32:31.7316660Z                 'guarded_class': None
2022-11-23T01:32:31.7316726Z             }
2022-11-23T01:32:31.7316787Z             
2022-11-23T01:32:31.7317048Z [2022-11-23 01:30:01,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 597
2022-11-23T01:32:31.7317301Z [2022-11-23 01:30:01,645] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7317308Z 
2022-11-23T01:32:31.7317408Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7317481Z import torch
2022-11-23T01:32:31.7317555Z import random
2022-11-23T01:32:31.7317679Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7317810Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7317815Z 
2022-11-23T01:32:31.7317891Z aten = torch.ops.aten
2022-11-23T01:32:31.7318032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7318128Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7318133Z 
2022-11-23T01:32:31.7318207Z import triton
2022-11-23T01:32:31.7318297Z import triton.language as tl
2022-11-23T01:32:31.7318424Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7318566Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7318571Z 
2022-11-23T01:32:31.7318576Z 
2022-11-23T01:32:31.7318784Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7318854Z import triton
2022-11-23T01:32:31.7318947Z import triton.language as tl
2022-11-23T01:32:31.7319063Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7319166Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7319302Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7319431Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7319437Z 
2022-11-23T01:32:31.7319824Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7319897Z @triton.jit
2022-11-23T01:32:31.7320035Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7320111Z     xnumel = 1536
2022-11-23T01:32:31.7320237Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7320370Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7320479Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7320556Z     x3 = xindex % 12
2022-11-23T01:32:31.7320638Z     x1 = (xindex // 4) % 3
2022-11-23T01:32:31.7320706Z     x0 = xindex % 4
2022-11-23T01:32:31.7320785Z     x2 = (xindex // 12)
2022-11-23T01:32:31.7320855Z     x5 = xindex
2022-11-23T01:32:31.7320925Z     tmp0 = x3
2022-11-23T01:32:31.7321032Z     tmp1 = (-2) + x1
2022-11-23T01:32:31.7321135Z     tmp2 = (-2) + x0
2022-11-23T01:32:31.7321208Z     tmp3 = 3 + x1
2022-11-23T01:32:31.7321274Z     tmp4 = 3 + x0
2022-11-23T01:32:31.7321344Z     tmp5 = 0
2022-11-23T01:32:31.7321439Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7321534Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7321604Z     tmp8 = 3
2022-11-23T01:32:31.7321695Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7321759Z     tmp10 = 4
2022-11-23T01:32:31.7321856Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7321938Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7322022Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7322093Z     tmp14 = 1
2022-11-23T01:32:31.7322203Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7322297Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7322404Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7322498Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7322654Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7322803Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7322885Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7322956Z     tmp22 = 0.0
2022-11-23T01:32:31.7323056Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7323130Z     tmp24 = tmp7 + tmp14
2022-11-23T01:32:31.7323225Z     tmp25 = tl.minimum(tmp24, tmp17)
2022-11-23T01:32:31.7323376Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7323524Z     tmp27 = tl.load(in_ptr1 + (tmp25 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7323606Z     tmp28 = tmp26 == tmp0
2022-11-23T01:32:31.7323684Z     tmp29 = tmp12 < tmp9
2022-11-23T01:32:31.7323761Z     tmp30 = tmp24 < tmp11
2022-11-23T01:32:31.7323834Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.7323909Z     tmp32 = tmp31 & tmp28
2022-11-23T01:32:31.7323986Z     tmp33 = tmp23 + tmp27
2022-11-23T01:32:31.7324085Z     tmp34 = tl.where(tmp32, tmp33, tmp23)
2022-11-23T01:32:31.7324157Z     tmp35 = 2
2022-11-23T01:32:31.7324236Z     tmp36 = tmp7 + tmp35
2022-11-23T01:32:31.7324331Z     tmp37 = tl.minimum(tmp36, tmp17)
2022-11-23T01:32:31.7324467Z     tmp38 = tl.load(in_ptr0 + (tmp37 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7324609Z     tmp39 = tl.load(in_ptr1 + (tmp37 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7324690Z     tmp40 = tmp38 == tmp0
2022-11-23T01:32:31.7324772Z     tmp41 = tmp36 < tmp11
2022-11-23T01:32:31.7324851Z     tmp42 = tmp29 & tmp41
2022-11-23T01:32:31.7324929Z     tmp43 = tmp42 & tmp40
2022-11-23T01:32:31.7325009Z     tmp44 = tmp34 + tmp39
2022-11-23T01:32:31.7325102Z     tmp45 = tl.where(tmp43, tmp44, tmp34)
2022-11-23T01:32:31.7325181Z     tmp46 = tmp7 + tmp8
2022-11-23T01:32:31.7325276Z     tmp47 = tl.minimum(tmp46, tmp17)
2022-11-23T01:32:31.7325427Z     tmp48 = tl.load(in_ptr0 + (tmp47 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7325572Z     tmp49 = tl.load(in_ptr1 + (tmp47 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7325650Z     tmp50 = tmp48 == tmp0
2022-11-23T01:32:31.7325728Z     tmp51 = tmp46 < tmp11
2022-11-23T01:32:31.7325806Z     tmp52 = tmp29 & tmp51
2022-11-23T01:32:31.7325878Z     tmp53 = tmp52 & tmp50
2022-11-23T01:32:31.7325958Z     tmp54 = tmp45 + tmp49
2022-11-23T01:32:31.7326088Z     tmp55 = tl.where(tmp53, tmp54, tmp45)
2022-11-23T01:32:31.7326169Z     tmp56 = tmp7 + tmp10
2022-11-23T01:32:31.7326287Z     tmp57 = tl.minimum(tmp56, tmp17)
2022-11-23T01:32:31.7326434Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7326577Z     tmp59 = tl.load(in_ptr1 + (tmp57 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7326651Z     tmp60 = tmp58 == tmp0
2022-11-23T01:32:31.7326731Z     tmp61 = tmp56 < tmp11
2022-11-23T01:32:31.7326809Z     tmp62 = tmp29 & tmp61
2022-11-23T01:32:31.7326889Z     tmp63 = tmp62 & tmp60
2022-11-23T01:32:31.7326969Z     tmp64 = tmp55 + tmp59
2022-11-23T01:32:31.7327068Z     tmp65 = tl.where(tmp63, tmp64, tmp55)
2022-11-23T01:32:31.7327149Z     tmp66 = tmp6 + tmp14
2022-11-23T01:32:31.7327237Z     tmp67 = tl.minimum(tmp66, tmp15)
2022-11-23T01:32:31.7327389Z     tmp68 = tl.load(in_ptr0 + (tmp18 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7327536Z     tmp69 = tl.load(in_ptr1 + (tmp18 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7327620Z     tmp70 = tmp68 == tmp0
2022-11-23T01:32:31.7327701Z     tmp71 = tmp66 < tmp9
2022-11-23T01:32:31.7327779Z     tmp72 = tmp13 < tmp11
2022-11-23T01:32:31.7327856Z     tmp73 = tmp71 & tmp72
2022-11-23T01:32:31.7327928Z     tmp74 = tmp73 & tmp70
2022-11-23T01:32:31.7328004Z     tmp75 = tmp65 + tmp69
2022-11-23T01:32:31.7328101Z     tmp76 = tl.where(tmp74, tmp75, tmp65)
2022-11-23T01:32:31.7328246Z     tmp77 = tl.load(in_ptr0 + (tmp25 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7328388Z     tmp78 = tl.load(in_ptr1 + (tmp25 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7328467Z     tmp79 = tmp77 == tmp0
2022-11-23T01:32:31.7328546Z     tmp80 = tmp71 & tmp30
2022-11-23T01:32:31.7328618Z     tmp81 = tmp80 & tmp79
2022-11-23T01:32:31.7328695Z     tmp82 = tmp76 + tmp78
2022-11-23T01:32:31.7328796Z     tmp83 = tl.where(tmp81, tmp82, tmp76)
2022-11-23T01:32:31.7328941Z     tmp84 = tl.load(in_ptr0 + (tmp37 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7329086Z     tmp85 = tl.load(in_ptr1 + (tmp37 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7329168Z     tmp86 = tmp84 == tmp0
2022-11-23T01:32:31.7329246Z     tmp87 = tmp71 & tmp41
2022-11-23T01:32:31.7329318Z     tmp88 = tmp87 & tmp86
2022-11-23T01:32:31.7329398Z     tmp89 = tmp83 + tmp85
2022-11-23T01:32:31.7329497Z     tmp90 = tl.where(tmp88, tmp89, tmp83)
2022-11-23T01:32:31.7329640Z     tmp91 = tl.load(in_ptr0 + (tmp47 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7329781Z     tmp92 = tl.load(in_ptr1 + (tmp47 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7329861Z     tmp93 = tmp91 == tmp0
2022-11-23T01:32:31.7329942Z     tmp94 = tmp71 & tmp51
2022-11-23T01:32:31.7330021Z     tmp95 = tmp94 & tmp93
2022-11-23T01:32:31.7330095Z     tmp96 = tmp90 + tmp92
2022-11-23T01:32:31.7330196Z     tmp97 = tl.where(tmp95, tmp96, tmp90)
2022-11-23T01:32:31.7330343Z     tmp98 = tl.load(in_ptr0 + (tmp57 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7330487Z     tmp99 = tl.load(in_ptr1 + (tmp57 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7330570Z     tmp100 = tmp98 == tmp0
2022-11-23T01:32:31.7330651Z     tmp101 = tmp71 & tmp61
2022-11-23T01:32:31.7330735Z     tmp102 = tmp101 & tmp100
2022-11-23T01:32:31.7330809Z     tmp103 = tmp97 + tmp99
2022-11-23T01:32:31.7330915Z     tmp104 = tl.where(tmp102, tmp103, tmp97)
2022-11-23T01:32:31.7330995Z     tmp105 = tmp6 + tmp35
2022-11-23T01:32:31.7331093Z     tmp106 = tl.minimum(tmp105, tmp15)
2022-11-23T01:32:31.7331246Z     tmp107 = tl.load(in_ptr0 + (tmp18 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7331395Z     tmp108 = tl.load(in_ptr1 + (tmp18 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7331506Z     tmp109 = tmp107 == tmp0
2022-11-23T01:32:31.7331603Z     tmp110 = tmp105 < tmp9
2022-11-23T01:32:31.7331685Z     tmp111 = tmp110 & tmp72
2022-11-23T01:32:31.7331768Z     tmp112 = tmp111 & tmp109
2022-11-23T01:32:31.7331847Z     tmp113 = tmp104 + tmp108
2022-11-23T01:32:31.7331953Z     tmp114 = tl.where(tmp112, tmp113, tmp104)
2022-11-23T01:32:31.7332100Z     tmp115 = tl.load(in_ptr0 + (tmp25 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7332244Z     tmp116 = tl.load(in_ptr1 + (tmp25 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7332319Z     tmp117 = tmp115 == tmp0
2022-11-23T01:32:31.7332400Z     tmp118 = tmp110 & tmp30
2022-11-23T01:32:31.7332482Z     tmp119 = tmp118 & tmp117
2022-11-23T01:32:31.7332563Z     tmp120 = tmp114 + tmp116
2022-11-23T01:32:31.7332668Z     tmp121 = tl.where(tmp119, tmp120, tmp114)
2022-11-23T01:32:31.7332822Z     tmp122 = tl.load(in_ptr0 + (tmp37 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7332970Z     tmp123 = tl.load(in_ptr1 + (tmp37 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7333051Z     tmp124 = tmp122 == tmp0
2022-11-23T01:32:31.7333124Z     tmp125 = tmp110 & tmp41
2022-11-23T01:32:31.7333210Z     tmp126 = tmp125 & tmp124
2022-11-23T01:32:31.7333290Z     tmp127 = tmp121 + tmp123
2022-11-23T01:32:31.7333393Z     tmp128 = tl.where(tmp126, tmp127, tmp121)
2022-11-23T01:32:31.7333539Z     tmp129 = tl.load(in_ptr0 + (tmp47 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7333682Z     tmp130 = tl.load(in_ptr1 + (tmp47 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7333763Z     tmp131 = tmp129 == tmp0
2022-11-23T01:32:31.7333837Z     tmp132 = tmp110 & tmp51
2022-11-23T01:32:31.7333918Z     tmp133 = tmp132 & tmp131
2022-11-23T01:32:31.7333999Z     tmp134 = tmp128 + tmp130
2022-11-23T01:32:31.7334106Z     tmp135 = tl.where(tmp133, tmp134, tmp128)
2022-11-23T01:32:31.7334251Z     tmp136 = tl.load(in_ptr0 + (tmp57 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7334398Z     tmp137 = tl.load(in_ptr1 + (tmp57 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7334478Z     tmp138 = tmp136 == tmp0
2022-11-23T01:32:31.7334552Z     tmp139 = tmp110 & tmp61
2022-11-23T01:32:31.7334638Z     tmp140 = tmp139 & tmp138
2022-11-23T01:32:31.7334719Z     tmp141 = tmp135 + tmp137
2022-11-23T01:32:31.7334821Z     tmp142 = tl.where(tmp140, tmp141, tmp135)
2022-11-23T01:32:31.7334900Z     tmp143 = tmp6 + tmp8
2022-11-23T01:32:31.7334999Z     tmp144 = tl.minimum(tmp143, tmp15)
2022-11-23T01:32:31.7335143Z     tmp145 = tl.load(in_ptr0 + (tmp18 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7335279Z     tmp146 = tl.load(in_ptr1 + (tmp18 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7335360Z     tmp147 = tmp145 == tmp0
2022-11-23T01:32:31.7335444Z     tmp148 = tmp143 < tmp9
2022-11-23T01:32:31.7335526Z     tmp149 = tmp148 & tmp72
2022-11-23T01:32:31.7335611Z     tmp150 = tmp149 & tmp147
2022-11-23T01:32:31.7335690Z     tmp151 = tmp142 + tmp146
2022-11-23T01:32:31.7335793Z     tmp152 = tl.where(tmp150, tmp151, tmp142)
2022-11-23T01:32:31.7335930Z     tmp153 = tl.load(in_ptr0 + (tmp25 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7336072Z     tmp154 = tl.load(in_ptr1 + (tmp25 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7336154Z     tmp155 = tmp153 == tmp0
2022-11-23T01:32:31.7336235Z     tmp156 = tmp148 & tmp30
2022-11-23T01:32:31.7336316Z     tmp157 = tmp156 & tmp155
2022-11-23T01:32:31.7342550Z     tmp158 = tmp152 + tmp154
2022-11-23T01:32:31.7342682Z     tmp159 = tl.where(tmp157, tmp158, tmp152)
2022-11-23T01:32:31.7342829Z     tmp160 = tl.load(in_ptr0 + (tmp37 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7343054Z     tmp161 = tl.load(in_ptr1 + (tmp37 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7343171Z     tmp162 = tmp160 == tmp0
2022-11-23T01:32:31.7343256Z     tmp163 = tmp148 & tmp41
2022-11-23T01:32:31.7343339Z     tmp164 = tmp163 & tmp162
2022-11-23T01:32:31.7343420Z     tmp165 = tmp159 + tmp161
2022-11-23T01:32:31.7343526Z     tmp166 = tl.where(tmp164, tmp165, tmp159)
2022-11-23T01:32:31.7343675Z     tmp167 = tl.load(in_ptr0 + (tmp47 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7343814Z     tmp168 = tl.load(in_ptr1 + (tmp47 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7343898Z     tmp169 = tmp167 == tmp0
2022-11-23T01:32:31.7343979Z     tmp170 = tmp148 & tmp51
2022-11-23T01:32:31.7344061Z     tmp171 = tmp170 & tmp169
2022-11-23T01:32:31.7344146Z     tmp172 = tmp166 + tmp168
2022-11-23T01:32:31.7344249Z     tmp173 = tl.where(tmp171, tmp172, tmp166)
2022-11-23T01:32:31.7344399Z     tmp174 = tl.load(in_ptr0 + (tmp57 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7344539Z     tmp175 = tl.load(in_ptr1 + (tmp57 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7344626Z     tmp176 = tmp174 == tmp0
2022-11-23T01:32:31.7344709Z     tmp177 = tmp148 & tmp61
2022-11-23T01:32:31.7344790Z     tmp178 = tmp177 & tmp176
2022-11-23T01:32:31.7344871Z     tmp179 = tmp173 + tmp175
2022-11-23T01:32:31.7344975Z     tmp180 = tl.where(tmp178, tmp179, tmp173)
2022-11-23T01:32:31.7345056Z     tmp181 = tmp6 + tmp10
2022-11-23T01:32:31.7345147Z     tmp182 = tl.minimum(tmp181, tmp15)
2022-11-23T01:32:31.7345293Z     tmp183 = tl.load(in_ptr0 + (tmp18 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7345438Z     tmp184 = tl.load(in_ptr1 + (tmp18 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7345519Z     tmp185 = tmp183 == tmp0
2022-11-23T01:32:31.7345602Z     tmp186 = tmp181 < tmp9
2022-11-23T01:32:31.7345685Z     tmp187 = tmp186 & tmp72
2022-11-23T01:32:31.7345770Z     tmp188 = tmp187 & tmp185
2022-11-23T01:32:31.7345845Z     tmp189 = tmp180 + tmp184
2022-11-23T01:32:31.7345949Z     tmp190 = tl.where(tmp188, tmp189, tmp180)
2022-11-23T01:32:31.7346093Z     tmp191 = tl.load(in_ptr0 + (tmp25 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7346237Z     tmp192 = tl.load(in_ptr1 + (tmp25 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7346317Z     tmp193 = tmp191 == tmp0
2022-11-23T01:32:31.7346399Z     tmp194 = tmp186 & tmp30
2022-11-23T01:32:31.7346481Z     tmp195 = tmp194 & tmp193
2022-11-23T01:32:31.7346563Z     tmp196 = tmp190 + tmp192
2022-11-23T01:32:31.7346659Z     tmp197 = tl.where(tmp195, tmp196, tmp190)
2022-11-23T01:32:31.7346806Z     tmp198 = tl.load(in_ptr0 + (tmp37 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7346953Z     tmp199 = tl.load(in_ptr1 + (tmp37 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7347035Z     tmp200 = tmp198 == tmp0
2022-11-23T01:32:31.7347123Z     tmp201 = tmp186 & tmp41
2022-11-23T01:32:31.7347203Z     tmp202 = tmp201 & tmp200
2022-11-23T01:32:31.7347285Z     tmp203 = tmp197 + tmp199
2022-11-23T01:32:31.7347380Z     tmp204 = tl.where(tmp202, tmp203, tmp197)
2022-11-23T01:32:31.7347525Z     tmp205 = tl.load(in_ptr0 + (tmp47 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7347667Z     tmp206 = tl.load(in_ptr1 + (tmp47 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7347750Z     tmp207 = tmp205 == tmp0
2022-11-23T01:32:31.7347831Z     tmp208 = tmp186 & tmp51
2022-11-23T01:32:31.7347913Z     tmp209 = tmp208 & tmp207
2022-11-23T01:32:31.7347993Z     tmp210 = tmp204 + tmp206
2022-11-23T01:32:31.7348089Z     tmp211 = tl.where(tmp209, tmp210, tmp204)
2022-11-23T01:32:31.7348232Z     tmp212 = tl.load(in_ptr0 + (tmp57 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7348405Z     tmp213 = tl.load(in_ptr1 + (tmp57 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7348521Z     tmp214 = tmp212 == tmp0
2022-11-23T01:32:31.7348603Z     tmp215 = tmp186 & tmp61
2022-11-23T01:32:31.7348685Z     tmp216 = tmp215 & tmp214
2022-11-23T01:32:31.7348767Z     tmp217 = tmp211 + tmp213
2022-11-23T01:32:31.7348862Z     tmp218 = tl.where(tmp216, tmp217, tmp211)
2022-11-23T01:32:31.7349002Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp218, xmask)
2022-11-23T01:32:31.7349109Z ''')
2022-11-23T01:32:31.7349115Z 
2022-11-23T01:32:31.7349119Z 
2022-11-23T01:32:31.7349216Z async_compile.wait(globals())
2022-11-23T01:32:31.7349294Z del async_compile
2022-11-23T01:32:31.7349299Z 
2022-11-23T01:32:31.7349374Z def call(args):
2022-11-23T01:32:31.7349463Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7349541Z     args.clear()
2022-11-23T01:32:31.7349756Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7349849Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7350035Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 1536, grid=grid(1536), stream=stream0)
2022-11-23T01:32:31.7350109Z     del arg0_1
2022-11-23T01:32:31.7350182Z     del arg2_1
2022-11-23T01:32:31.7350331Z     return (buf0, )
2022-11-23T01:32:31.7350337Z 
2022-11-23T01:32:31.7350343Z 
2022-11-23T01:32:31.7350439Z if __name__ == "__main__":
2022-11-23T01:32:31.7350573Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7350714Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7350937Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7351152Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7351363Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7351497Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7351869Z [2022-11-23 01:30:02,399] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fv/cfvzvh426cztw4iinnlmreejogwt7k6r5xjk6j2imfycqwlx7yrg.py
2022-11-23T01:32:31.7352138Z [2022-11-23 01:30:02,399] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 597
2022-11-23T01:32:31.7352379Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7352692Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7352904Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7353161Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7353444Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7353764Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7354106Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7354427Z [2022-11-23 01:30:02,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7354796Z [2022-11-23 01:30:02,405] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983> 
2022-11-23T01:32:31.7354897Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7355063Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7355088Z 
2022-11-23T01:32:31.7355188Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7355279Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7355373Z                8 LOAD_CONST               1 (5)
2022-11-23T01:32:31.7355468Z               10 LOAD_CONST               1 (5)
2022-11-23T01:32:31.7355564Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7355658Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7355757Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7355850Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7355937Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7356029Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7356122Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7356218Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7356316Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7356412Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7356511Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7356597Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7356602Z 
2022-11-23T01:32:31.7356693Z 3984          36 CALL_METHOD              8
2022-11-23T01:32:31.7356776Z               38 RETURN_VALUE
2022-11-23T01:32:31.7356844Z  
2022-11-23T01:32:31.7356849Z 
2022-11-23T01:32:31.7357163Z [2022-11-23 01:30:02,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:31.7357381Z [2022-11-23 01:30:02,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7357723Z [2022-11-23 01:30:02,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7358039Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985
2022-11-23T01:32:31.7358333Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7358644Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7358986Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7359363Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7359780Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7360150Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7360551Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7360986Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7361403Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7361845Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7362298Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7362703Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7363153Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7363629Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7364068Z [2022-11-23 01:30:02,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7364536Z [2022-11-23 01:30:02,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7364847Z [2022-11-23 01:30:02,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:32:31.7365352Z [2022-11-23 01:30:02,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7365601Z [2022-11-23 01:30:02,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7365967Z [2022-11-23 01:30:02,413] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983>
2022-11-23T01:32:31.7366213Z [2022-11-23 01:30:02,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7366452Z [2022-11-23 01:30:02,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7366710Z [2022-11-23 01:30:02,414] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7366962Z [2022-11-23 01:30:02,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7367155Z [2022-11-23 01:30:02,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7367297Z  __compiled_fn_615 <eval_with_key>.3809 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7367392Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7367485Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7367570Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7367776Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7367980Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7368003Z 
2022-11-23T01:32:31.7368329Z [2022-11-23 01:30:02,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7368431Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7368525Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7368624Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7368723Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7368808Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7368904Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7368985Z              12 RETURN_VALUE
2022-11-23T01:32:31.7368990Z 
2022-11-23T01:32:31.7369055Z  
2022-11-23T01:32:31.7369374Z [2022-11-23 01:30:02,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7369494Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_615)
2022-11-23T01:32:31.7369600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7369715Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7369815Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7369939Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7370050Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7370133Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7370227Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7370320Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7370400Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7370487Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7370584Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7370667Z              24 RETURN_VALUE
2022-11-23T01:32:31.7370673Z 
2022-11-23T01:32:31.7370739Z  
2022-11-23T01:32:31.7370932Z [2022-11-23 01:30:02,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7371010Z  - 
2022-11-23T01:32:31.7371135Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7371198Z             {
2022-11-23T01:32:31.7371343Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7371629Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7371756Z                 'obj_weakref': None
2022-11-23T01:32:31.7371986Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7372057Z             }
2022-11-23T01:32:31.7372126Z             
2022-11-23T01:32:31.7372195Z  - 
2022-11-23T01:32:31.7372323Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7372394Z             {
2022-11-23T01:32:31.7372545Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7372658Z                 'code': None,
2022-11-23T01:32:31.7372877Z                 'obj_weakref': <weakref at 0x7f1ffadc0310; to 'Tensor' at 0x7f1ffad48b80>
2022-11-23T01:32:31.7373134Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7373196Z             }
2022-11-23T01:32:31.7373265Z             
2022-11-23T01:32:31.7373338Z  - 
2022-11-23T01:32:31.7373467Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7373536Z             {
2022-11-23T01:32:31.7373684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7373799Z                 'code': None,
2022-11-23T01:32:31.7374007Z                 'obj_weakref': <weakref at 0x7f1ffadc0220; to 'Tensor' at 0x7f1fe819f1f0>
2022-11-23T01:32:31.7374260Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7374329Z             }
2022-11-23T01:32:31.7374396Z             
2022-11-23T01:32:31.7374471Z  - 
2022-11-23T01:32:31.7374598Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7374708Z             {
2022-11-23T01:32:31.7374870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7374983Z                 'code': None,
2022-11-23T01:32:31.7375197Z                 'obj_weakref': <weakref at 0x7f1fead70c70; to 'Tensor' at 0x7f201e3a4090>
2022-11-23T01:32:31.7375448Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7375517Z             }
2022-11-23T01:32:31.7375584Z             
2022-11-23T01:32:31.7375660Z  - 
2022-11-23T01:32:31.7375788Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7375857Z             {
2022-11-23T01:32:31.7375994Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7376171Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7376296Z                 'obj_weakref': None
2022-11-23T01:32:31.7376531Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7376600Z             }
2022-11-23T01:32:31.7376664Z             
2022-11-23T01:32:31.7376740Z  - 
2022-11-23T01:32:31.7376867Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7376934Z             {
2022-11-23T01:32:31.7377076Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7377296Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7377421Z                 'obj_weakref': None
2022-11-23T01:32:31.7377638Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7377707Z             }
2022-11-23T01:32:31.7377777Z             
2022-11-23T01:32:31.7377851Z  - 
2022-11-23T01:32:31.7377988Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7378057Z             {
2022-11-23T01:32:31.7378180Z                 'guard_types': None,
2022-11-23T01:32:31.7378286Z                 'code': None,
2022-11-23T01:32:31.7378410Z                 'obj_weakref': None
2022-11-23T01:32:31.7378542Z                 'guarded_class': None
2022-11-23T01:32:31.7378612Z             }
2022-11-23T01:32:31.7378679Z             
2022-11-23T01:32:31.7379070Z [2022-11-23 01:30:02,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 598
2022-11-23T01:32:31.7379324Z [2022-11-23 01:30:02,557] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7379330Z 
2022-11-23T01:32:31.7379335Z 
2022-11-23T01:32:31.7379437Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7379504Z import torch
2022-11-23T01:32:31.7379578Z import random
2022-11-23T01:32:31.7379699Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7379825Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7379830Z 
2022-11-23T01:32:31.7379914Z aten = torch.ops.aten
2022-11-23T01:32:31.7380055Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7380155Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7380163Z 
2022-11-23T01:32:31.7380231Z import triton
2022-11-23T01:32:31.7380324Z import triton.language as tl
2022-11-23T01:32:31.7380454Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7380599Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7380605Z 
2022-11-23T01:32:31.7380610Z 
2022-11-23T01:32:31.7380815Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7380892Z import triton
2022-11-23T01:32:31.7380984Z import triton.language as tl
2022-11-23T01:32:31.7381100Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7381196Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7381332Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7381461Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7381466Z 
2022-11-23T01:32:31.7381907Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7382006Z @triton.jit
2022-11-23T01:32:31.7382152Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7382232Z     xnumel = 1536
2022-11-23T01:32:31.7382332Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7382459Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7382543Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7382619Z     x3 = xindex % 12
2022-11-23T01:32:31.7382703Z     x1 = (xindex // 4) % 3
2022-11-23T01:32:31.7382777Z     x0 = xindex % 4
2022-11-23T01:32:31.7382856Z     x2 = (xindex // 12)
2022-11-23T01:32:31.7382928Z     x5 = xindex
2022-11-23T01:32:31.7382994Z     tmp0 = x3
2022-11-23T01:32:31.7383102Z     tmp1 = (-2) + x1
2022-11-23T01:32:31.7383204Z     tmp2 = (-2) + x0
2022-11-23T01:32:31.7383280Z     tmp3 = 3 + x1
2022-11-23T01:32:31.7383357Z     tmp4 = 3 + x0
2022-11-23T01:32:31.7383430Z     tmp5 = 0
2022-11-23T01:32:31.7383519Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7383612Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7383684Z     tmp8 = 3
2022-11-23T01:32:31.7383776Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7383847Z     tmp10 = 4
2022-11-23T01:32:31.7383940Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7384020Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7384092Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7384163Z     tmp14 = 1
2022-11-23T01:32:31.7384279Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7384376Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7384489Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7384582Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7384739Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7384902Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7384989Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7385062Z     tmp22 = 0.0
2022-11-23T01:32:31.7385162Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7385246Z     tmp24 = tmp7 + tmp14
2022-11-23T01:32:31.7385341Z     tmp25 = tl.minimum(tmp24, tmp17)
2022-11-23T01:32:31.7385493Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7385649Z     tmp27 = tl.load(in_ptr1 + (tmp25 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7385731Z     tmp28 = tmp26 == tmp0
2022-11-23T01:32:31.7385811Z     tmp29 = tmp12 < tmp9
2022-11-23T01:32:31.7385891Z     tmp30 = tmp24 < tmp11
2022-11-23T01:32:31.7385969Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.7386047Z     tmp32 = tmp31 & tmp28
2022-11-23T01:32:31.7386127Z     tmp33 = tmp23 + tmp27
2022-11-23T01:32:31.7386223Z     tmp34 = tl.where(tmp32, tmp33, tmp23)
2022-11-23T01:32:31.7386296Z     tmp35 = 2
2022-11-23T01:32:31.7386379Z     tmp36 = tmp7 + tmp35
2022-11-23T01:32:31.7386473Z     tmp37 = tl.minimum(tmp36, tmp17)
2022-11-23T01:32:31.7386625Z     tmp38 = tl.load(in_ptr0 + (tmp37 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7386789Z     tmp39 = tl.load(in_ptr1 + (tmp37 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7386870Z     tmp40 = tmp38 == tmp0
2022-11-23T01:32:31.7386943Z     tmp41 = tmp36 < tmp11
2022-11-23T01:32:31.7387023Z     tmp42 = tmp29 & tmp41
2022-11-23T01:32:31.7387101Z     tmp43 = tmp42 & tmp40
2022-11-23T01:32:31.7387179Z     tmp44 = tmp34 + tmp39
2022-11-23T01:32:31.7387277Z     tmp45 = tl.where(tmp43, tmp44, tmp34)
2022-11-23T01:32:31.7387358Z     tmp46 = tmp7 + tmp8
2022-11-23T01:32:31.7387453Z     tmp47 = tl.minimum(tmp46, tmp17)
2022-11-23T01:32:31.7387625Z     tmp48 = tl.load(in_ptr0 + (tmp47 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7387788Z     tmp49 = tl.load(in_ptr1 + (tmp47 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7387888Z     tmp50 = tmp48 == tmp0
2022-11-23T01:32:31.7387968Z     tmp51 = tmp46 < tmp11
2022-11-23T01:32:31.7388046Z     tmp52 = tmp29 & tmp51
2022-11-23T01:32:31.7388125Z     tmp53 = tmp52 & tmp50
2022-11-23T01:32:31.7388203Z     tmp54 = tmp45 + tmp49
2022-11-23T01:32:31.7388297Z     tmp55 = tl.where(tmp53, tmp54, tmp45)
2022-11-23T01:32:31.7388378Z     tmp56 = tmp7 + tmp10
2022-11-23T01:32:31.7388471Z     tmp57 = tl.minimum(tmp56, tmp17)
2022-11-23T01:32:31.7388620Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7388778Z     tmp59 = tl.load(in_ptr1 + (tmp57 + (4*tmp16) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7388859Z     tmp60 = tmp58 == tmp0
2022-11-23T01:32:31.7388940Z     tmp61 = tmp56 < tmp11
2022-11-23T01:32:31.7389021Z     tmp62 = tmp29 & tmp61
2022-11-23T01:32:31.7389095Z     tmp63 = tmp62 & tmp60
2022-11-23T01:32:31.7389174Z     tmp64 = tmp55 + tmp59
2022-11-23T01:32:31.7389277Z     tmp65 = tl.where(tmp63, tmp64, tmp55)
2022-11-23T01:32:31.7389357Z     tmp66 = tmp6 + tmp14
2022-11-23T01:32:31.7389453Z     tmp67 = tl.minimum(tmp66, tmp15)
2022-11-23T01:32:31.7389600Z     tmp68 = tl.load(in_ptr0 + (tmp18 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7389759Z     tmp69 = tl.load(in_ptr1 + (tmp18 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7389834Z     tmp70 = tmp68 == tmp0
2022-11-23T01:32:31.7389914Z     tmp71 = tmp66 < tmp9
2022-11-23T01:32:31.7389994Z     tmp72 = tmp13 < tmp11
2022-11-23T01:32:31.7390074Z     tmp73 = tmp71 & tmp72
2022-11-23T01:32:31.7390155Z     tmp74 = tmp73 & tmp70
2022-11-23T01:32:31.7390234Z     tmp75 = tmp65 + tmp69
2022-11-23T01:32:31.7390411Z     tmp76 = tl.where(tmp74, tmp75, tmp65)
2022-11-23T01:32:31.7390572Z     tmp77 = tl.load(in_ptr0 + (tmp25 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7390736Z     tmp78 = tl.load(in_ptr1 + (tmp25 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7390817Z     tmp79 = tmp77 == tmp0
2022-11-23T01:32:31.7390896Z     tmp80 = tmp71 & tmp30
2022-11-23T01:32:31.7390977Z     tmp81 = tmp80 & tmp79
2022-11-23T01:32:31.7391055Z     tmp82 = tmp76 + tmp78
2022-11-23T01:32:31.7391154Z     tmp83 = tl.where(tmp81, tmp82, tmp76)
2022-11-23T01:32:31.7391292Z     tmp84 = tl.load(in_ptr0 + (tmp37 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7391449Z     tmp85 = tl.load(in_ptr1 + (tmp37 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7391530Z     tmp86 = tmp84 == tmp0
2022-11-23T01:32:31.7391614Z     tmp87 = tmp71 & tmp41
2022-11-23T01:32:31.7391692Z     tmp88 = tmp87 & tmp86
2022-11-23T01:32:31.7391774Z     tmp89 = tmp83 + tmp85
2022-11-23T01:32:31.7391873Z     tmp90 = tl.where(tmp88, tmp89, tmp83)
2022-11-23T01:32:31.7392012Z     tmp91 = tl.load(in_ptr0 + (tmp47 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7392168Z     tmp92 = tl.load(in_ptr1 + (tmp47 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7392248Z     tmp93 = tmp91 == tmp0
2022-11-23T01:32:31.7392329Z     tmp94 = tmp71 & tmp51
2022-11-23T01:32:31.7392409Z     tmp95 = tmp94 & tmp93
2022-11-23T01:32:31.7392487Z     tmp96 = tmp90 + tmp92
2022-11-23T01:32:31.7392586Z     tmp97 = tl.where(tmp95, tmp96, tmp90)
2022-11-23T01:32:31.7392727Z     tmp98 = tl.load(in_ptr0 + (tmp57 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7392876Z     tmp99 = tl.load(in_ptr1 + (tmp57 + (4*tmp67) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7392959Z     tmp100 = tmp98 == tmp0
2022-11-23T01:32:31.7393076Z     tmp101 = tmp71 & tmp61
2022-11-23T01:32:31.7393162Z     tmp102 = tmp101 & tmp100
2022-11-23T01:32:31.7393278Z     tmp103 = tmp97 + tmp99
2022-11-23T01:32:31.7393385Z     tmp104 = tl.where(tmp102, tmp103, tmp97)
2022-11-23T01:32:31.7393466Z     tmp105 = tmp6 + tmp35
2022-11-23T01:32:31.7393556Z     tmp106 = tl.minimum(tmp105, tmp15)
2022-11-23T01:32:31.7393709Z     tmp107 = tl.load(in_ptr0 + (tmp18 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7393872Z     tmp108 = tl.load(in_ptr1 + (tmp18 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7393956Z     tmp109 = tmp107 == tmp0
2022-11-23T01:32:31.7394038Z     tmp110 = tmp105 < tmp9
2022-11-23T01:32:31.7394120Z     tmp111 = tmp110 & tmp72
2022-11-23T01:32:31.7394201Z     tmp112 = tmp111 & tmp109
2022-11-23T01:32:31.7394276Z     tmp113 = tmp104 + tmp108
2022-11-23T01:32:31.7394383Z     tmp114 = tl.where(tmp112, tmp113, tmp104)
2022-11-23T01:32:31.7394536Z     tmp115 = tl.load(in_ptr0 + (tmp25 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7394700Z     tmp116 = tl.load(in_ptr1 + (tmp25 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7394782Z     tmp117 = tmp115 == tmp0
2022-11-23T01:32:31.7394863Z     tmp118 = tmp110 & tmp30
2022-11-23T01:32:31.7394946Z     tmp119 = tmp118 & tmp117
2022-11-23T01:32:31.7395022Z     tmp120 = tmp114 + tmp116
2022-11-23T01:32:31.7395133Z     tmp121 = tl.where(tmp119, tmp120, tmp114)
2022-11-23T01:32:31.7395284Z     tmp122 = tl.load(in_ptr0 + (tmp37 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7395448Z     tmp123 = tl.load(in_ptr1 + (tmp37 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7395532Z     tmp124 = tmp122 == tmp0
2022-11-23T01:32:31.7395615Z     tmp125 = tmp110 & tmp41
2022-11-23T01:32:31.7395698Z     tmp126 = tmp125 & tmp124
2022-11-23T01:32:31.7395779Z     tmp127 = tmp121 + tmp123
2022-11-23T01:32:31.7395878Z     tmp128 = tl.where(tmp126, tmp127, tmp121)
2022-11-23T01:32:31.7396028Z     tmp129 = tl.load(in_ptr0 + (tmp47 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7396185Z     tmp130 = tl.load(in_ptr1 + (tmp47 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7396267Z     tmp131 = tmp129 == tmp0
2022-11-23T01:32:31.7396347Z     tmp132 = tmp110 & tmp51
2022-11-23T01:32:31.7396430Z     tmp133 = tmp132 & tmp131
2022-11-23T01:32:31.7396512Z     tmp134 = tmp128 + tmp130
2022-11-23T01:32:31.7396609Z     tmp135 = tl.where(tmp133, tmp134, tmp128)
2022-11-23T01:32:31.7396758Z     tmp136 = tl.load(in_ptr0 + (tmp57 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7396917Z     tmp137 = tl.load(in_ptr1 + (tmp57 + (4*tmp106) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7396998Z     tmp138 = tmp136 == tmp0
2022-11-23T01:32:31.7397082Z     tmp139 = tmp110 & tmp61
2022-11-23T01:32:31.7397165Z     tmp140 = tmp139 & tmp138
2022-11-23T01:32:31.7397249Z     tmp141 = tmp135 + tmp137
2022-11-23T01:32:31.7397345Z     tmp142 = tl.where(tmp140, tmp141, tmp135)
2022-11-23T01:32:31.7397425Z     tmp143 = tmp6 + tmp8
2022-11-23T01:32:31.7397521Z     tmp144 = tl.minimum(tmp143, tmp15)
2022-11-23T01:32:31.7397671Z     tmp145 = tl.load(in_ptr0 + (tmp18 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7397829Z     tmp146 = tl.load(in_ptr1 + (tmp18 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7397911Z     tmp147 = tmp145 == tmp0
2022-11-23T01:32:31.7397990Z     tmp148 = tmp143 < tmp9
2022-11-23T01:32:31.7398072Z     tmp149 = tmp148 & tmp72
2022-11-23T01:32:31.7398147Z     tmp150 = tmp149 & tmp147
2022-11-23T01:32:31.7398228Z     tmp151 = tmp142 + tmp146
2022-11-23T01:32:31.7398330Z     tmp152 = tl.where(tmp150, tmp151, tmp142)
2022-11-23T01:32:31.7398506Z     tmp153 = tl.load(in_ptr0 + (tmp25 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7398682Z     tmp154 = tl.load(in_ptr1 + (tmp25 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7398763Z     tmp155 = tmp153 == tmp0
2022-11-23T01:32:31.7398846Z     tmp156 = tmp148 & tmp30
2022-11-23T01:32:31.7398921Z     tmp157 = tmp156 & tmp155
2022-11-23T01:32:31.7399002Z     tmp158 = tmp152 + tmp154
2022-11-23T01:32:31.7399106Z     tmp159 = tl.where(tmp157, tmp158, tmp152)
2022-11-23T01:32:31.7399252Z     tmp160 = tl.load(in_ptr0 + (tmp37 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7399411Z     tmp161 = tl.load(in_ptr1 + (tmp37 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7399495Z     tmp162 = tmp160 == tmp0
2022-11-23T01:32:31.7399577Z     tmp163 = tmp148 & tmp41
2022-11-23T01:32:31.7399652Z     tmp164 = tmp163 & tmp162
2022-11-23T01:32:31.7399734Z     tmp165 = tmp159 + tmp161
2022-11-23T01:32:31.7399842Z     tmp166 = tl.where(tmp164, tmp165, tmp159)
2022-11-23T01:32:31.7399991Z     tmp167 = tl.load(in_ptr0 + (tmp47 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7400151Z     tmp168 = tl.load(in_ptr1 + (tmp47 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7400230Z     tmp169 = tmp167 == tmp0
2022-11-23T01:32:31.7400311Z     tmp170 = tmp148 & tmp51
2022-11-23T01:32:31.7400393Z     tmp171 = tmp170 & tmp169
2022-11-23T01:32:31.7400469Z     tmp172 = tmp166 + tmp168
2022-11-23T01:32:31.7400571Z     tmp173 = tl.where(tmp171, tmp172, tmp166)
2022-11-23T01:32:31.7400718Z     tmp174 = tl.load(in_ptr0 + (tmp57 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7400877Z     tmp175 = tl.load(in_ptr1 + (tmp57 + (4*tmp144) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7400959Z     tmp176 = tmp174 == tmp0
2022-11-23T01:32:31.7401043Z     tmp177 = tmp148 & tmp61
2022-11-23T01:32:31.7401125Z     tmp178 = tmp177 & tmp176
2022-11-23T01:32:31.7401202Z     tmp179 = tmp173 + tmp175
2022-11-23T01:32:31.7401306Z     tmp180 = tl.where(tmp178, tmp179, tmp173)
2022-11-23T01:32:31.7401388Z     tmp181 = tmp6 + tmp10
2022-11-23T01:32:31.7401484Z     tmp182 = tl.minimum(tmp181, tmp15)
2022-11-23T01:32:31.7401630Z     tmp183 = tl.load(in_ptr0 + (tmp18 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7401786Z     tmp184 = tl.load(in_ptr1 + (tmp18 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7401868Z     tmp185 = tmp183 == tmp0
2022-11-23T01:32:31.7401942Z     tmp186 = tmp181 < tmp9
2022-11-23T01:32:31.7402023Z     tmp187 = tmp186 & tmp72
2022-11-23T01:32:31.7402106Z     tmp188 = tmp187 & tmp185
2022-11-23T01:32:31.7402188Z     tmp189 = tmp180 + tmp184
2022-11-23T01:32:31.7402291Z     tmp190 = tl.where(tmp188, tmp189, tmp180)
2022-11-23T01:32:31.7402439Z     tmp191 = tl.load(in_ptr0 + (tmp25 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7402597Z     tmp192 = tl.load(in_ptr1 + (tmp25 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7402678Z     tmp193 = tmp191 == tmp0
2022-11-23T01:32:31.7402753Z     tmp194 = tmp186 & tmp30
2022-11-23T01:32:31.7402834Z     tmp195 = tmp194 & tmp193
2022-11-23T01:32:31.7402916Z     tmp196 = tmp190 + tmp192
2022-11-23T01:32:31.7403018Z     tmp197 = tl.where(tmp195, tmp196, tmp190)
2022-11-23T01:32:31.7403164Z     tmp198 = tl.load(in_ptr0 + (tmp37 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7403320Z     tmp199 = tl.load(in_ptr1 + (tmp37 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7403400Z     tmp200 = tmp198 == tmp0
2022-11-23T01:32:31.7403474Z     tmp201 = tmp186 & tmp41
2022-11-23T01:32:31.7403555Z     tmp202 = tmp201 & tmp200
2022-11-23T01:32:31.7403636Z     tmp203 = tmp197 + tmp199
2022-11-23T01:32:31.7403767Z     tmp204 = tl.where(tmp202, tmp203, tmp197)
2022-11-23T01:32:31.7403932Z     tmp205 = tl.load(in_ptr0 + (tmp47 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7404088Z     tmp206 = tl.load(in_ptr1 + (tmp47 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7404167Z     tmp207 = tmp205 == tmp0
2022-11-23T01:32:31.7404241Z     tmp208 = tmp186 & tmp51
2022-11-23T01:32:31.7404323Z     tmp209 = tmp208 & tmp207
2022-11-23T01:32:31.7404405Z     tmp210 = tmp204 + tmp206
2022-11-23T01:32:31.7404507Z     tmp211 = tl.where(tmp209, tmp210, tmp204)
2022-11-23T01:32:31.7404652Z     tmp212 = tl.load(in_ptr0 + (tmp57 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7404807Z     tmp213 = tl.load(in_ptr1 + (tmp57 + (4*tmp182) + (12*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7404888Z     tmp214 = tmp212 == tmp0
2022-11-23T01:32:31.7404972Z     tmp215 = tmp186 & tmp61
2022-11-23T01:32:31.7405047Z     tmp216 = tmp215 & tmp214
2022-11-23T01:32:31.7405131Z     tmp217 = tmp211 + tmp213
2022-11-23T01:32:31.7405233Z     tmp218 = tl.where(tmp216, tmp217, tmp211)
2022-11-23T01:32:31.7405369Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp218, xmask)
2022-11-23T01:32:31.7405463Z ''')
2022-11-23T01:32:31.7405470Z 
2022-11-23T01:32:31.7405474Z 
2022-11-23T01:32:31.7405569Z async_compile.wait(globals())
2022-11-23T01:32:31.7405646Z del async_compile
2022-11-23T01:32:31.7405651Z 
2022-11-23T01:32:31.7405720Z def call(args):
2022-11-23T01:32:31.7405806Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7405880Z     args.clear()
2022-11-23T01:32:31.7406099Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7406190Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7406377Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 1536, grid=grid(1536), stream=stream0)
2022-11-23T01:32:31.7406450Z     del arg0_1
2022-11-23T01:32:31.7406518Z     del arg2_1
2022-11-23T01:32:31.7406594Z     return (buf0, )
2022-11-23T01:32:31.7406600Z 
2022-11-23T01:32:31.7406604Z 
2022-11-23T01:32:31.7406688Z if __name__ == "__main__":
2022-11-23T01:32:31.7406807Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7406935Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7407155Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7407373Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7407583Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7407707Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7408071Z [2022-11-23 01:30:03,339] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnehztg3gjib6makuyv3bs53zaohvg7ywi2rgzl4ll2dbjhj7ala.py
2022-11-23T01:32:31.7408339Z [2022-11-23 01:30:03,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 598
2022-11-23T01:32:31.7408345Z 
2022-11-23T01:32:31.7408419Z ok (1.887s)
2022-11-23T01:32:31.7408762Z   test_max_pool2d_with_indices_backward5_cuda (__main__.CudaTests) ... [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7409069Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7409289Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7409544Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7409853Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7410190Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7410533Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7410845Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7411214Z [2022-11-23 01:30:03,348] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010> 
2022-11-23T01:32:31.7411316Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7411451Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7411459Z 
2022-11-23T01:32:31.7411557Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7411656Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7411755Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7411853Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7411941Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7412038Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7412133Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7412227Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7412320Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7412411Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7412504Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7412589Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7412683Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7412777Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7412877Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7412968Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7412974Z 
2022-11-23T01:32:31.7413067Z 4011          36 CALL_METHOD              8
2022-11-23T01:32:31.7413150Z               38 RETURN_VALUE
2022-11-23T01:32:31.7413215Z  
2022-11-23T01:32:31.7413220Z 
2022-11-23T01:32:31.7413529Z [2022-11-23 01:30:03,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:31.7413749Z [2022-11-23 01:30:03,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7414090Z [2022-11-23 01:30:03,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7414403Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012
2022-11-23T01:32:31.7414698Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7415019Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7415362Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7415744Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7416194Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7416578Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7416981Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7417415Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7417803Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7418221Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7418676Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7419194Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7419645Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7420127Z [2022-11-23 01:30:03,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7420568Z [2022-11-23 01:30:03,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7421039Z [2022-11-23 01:30:03,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7421350Z [2022-11-23 01:30:03,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:31.7421854Z [2022-11-23 01:30:03,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7422104Z [2022-11-23 01:30:03,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7422477Z [2022-11-23 01:30:03,357] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010>
2022-11-23T01:32:31.7422725Z [2022-11-23 01:30:03,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7423005Z [2022-11-23 01:30:03,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7423319Z [2022-11-23 01:30:03,358] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7423602Z [2022-11-23 01:30:03,361] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7423809Z [2022-11-23 01:30:03,362] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7423961Z  __compiled_fn_616 <eval_with_key>.3815 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7424060Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7424156Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7424250Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7424478Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7424629Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7424637Z 
2022-11-23T01:32:31.7425012Z [2022-11-23 01:30:03,362] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7425112Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7425211Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7425306Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7425408Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7425502Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7425598Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7425681Z              12 RETURN_VALUE
2022-11-23T01:32:31.7425687Z 
2022-11-23T01:32:31.7425752Z  
2022-11-23T01:32:31.7426112Z [2022-11-23 01:30:03,362] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7426237Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_616)
2022-11-23T01:32:31.7426338Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7426437Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7426520Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7426615Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7426712Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7426788Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7426881Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7426978Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7427062Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7427159Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7427258Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7427339Z              24 RETURN_VALUE
2022-11-23T01:32:31.7427344Z 
2022-11-23T01:32:31.7427403Z  
2022-11-23T01:32:31.7427615Z [2022-11-23 01:30:03,363] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7427694Z  - 
2022-11-23T01:32:31.7427831Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7427901Z             {
2022-11-23T01:32:31.7428047Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7428236Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7428354Z                 'obj_weakref': None
2022-11-23T01:32:31.7428577Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7428647Z             }
2022-11-23T01:32:31.7428716Z             
2022-11-23T01:32:31.7428791Z  - 
2022-11-23T01:32:31.7428920Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7428990Z             {
2022-11-23T01:32:31.7429131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7429243Z                 'code': None,
2022-11-23T01:32:31.7429455Z                 'obj_weakref': <weakref at 0x7f1fd813b830; to 'Tensor' at 0x7f2151f02b60>
2022-11-23T01:32:31.7429739Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7429830Z             }
2022-11-23T01:32:31.7429898Z             
2022-11-23T01:32:31.7429973Z  - 
2022-11-23T01:32:31.7430095Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7430166Z             {
2022-11-23T01:32:31.7430388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7430520Z                 'code': None,
2022-11-23T01:32:31.7430764Z                 'obj_weakref': <weakref at 0x7f1ffadc0810; to 'Tensor' at 0x7f2151f02a70>
2022-11-23T01:32:31.7431018Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7431087Z             }
2022-11-23T01:32:31.7431155Z             
2022-11-23T01:32:31.7431223Z  - 
2022-11-23T01:32:31.7431351Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7431419Z             {
2022-11-23T01:32:31.7431571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7431686Z                 'code': None,
2022-11-23T01:32:31.7431899Z                 'obj_weakref': <weakref at 0x7f1ffadc0ea0; to 'Tensor' at 0x7f2151f02b10>
2022-11-23T01:32:31.7432152Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7432214Z             }
2022-11-23T01:32:31.7432282Z             
2022-11-23T01:32:31.7432357Z  - 
2022-11-23T01:32:31.7432491Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7432560Z             {
2022-11-23T01:32:31.7432703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7432872Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7432996Z                 'obj_weakref': None
2022-11-23T01:32:31.7433226Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7433295Z             }
2022-11-23T01:32:31.7433366Z             
2022-11-23T01:32:31.7433441Z  - 
2022-11-23T01:32:31.7433571Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7433633Z             {
2022-11-23T01:32:31.7433774Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7433994Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7434117Z                 'obj_weakref': None
2022-11-23T01:32:31.7434342Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7434409Z             }
2022-11-23T01:32:31.7434474Z             
2022-11-23T01:32:31.7434543Z  - 
2022-11-23T01:32:31.7434678Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7434749Z             {
2022-11-23T01:32:31.7434874Z                 'guard_types': None,
2022-11-23T01:32:31.7434983Z                 'code': None,
2022-11-23T01:32:31.7435107Z                 'obj_weakref': None
2022-11-23T01:32:31.7435236Z                 'guarded_class': None
2022-11-23T01:32:31.7435298Z             }
2022-11-23T01:32:31.7435368Z             
2022-11-23T01:32:31.7435635Z [2022-11-23 01:30:03,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 599
2022-11-23T01:32:31.7435899Z [2022-11-23 01:30:03,371] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T01:32:31.7436273Z [2022-11-23 01:30:03,374] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bc/cbcvawznyiy5opv4cco6alsvy5kyy2jcdbrtgclfhwq3i7wwqpku.py
2022-11-23T01:32:31.7436543Z [2022-11-23 01:30:03,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 599
2022-11-23T01:32:31.7436785Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7437135Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7437363Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7437647Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7437924Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7438248Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7438597Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7438922Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7439301Z [2022-11-23 01:30:03,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010> 
2022-11-23T01:32:31.7439407Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7439542Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7439548Z 
2022-11-23T01:32:31.7439647Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7439741Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7439832Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7439930Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:31.7440026Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7440121Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7440216Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7440308Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7440408Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7440496Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7440588Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7440681Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7440774Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7440866Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7440966Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7441059Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7441064Z 
2022-11-23T01:32:31.7441150Z 4011          36 CALL_METHOD              8
2022-11-23T01:32:31.7441232Z               38 RETURN_VALUE
2022-11-23T01:32:31.7441302Z  
2022-11-23T01:32:31.7441307Z 
2022-11-23T01:32:31.7441618Z [2022-11-23 01:30:03,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:31.7441839Z [2022-11-23 01:30:03,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7442186Z [2022-11-23 01:30:03,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7442501Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012
2022-11-23T01:32:31.7442795Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7443117Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7443498Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7443877Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7444304Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7444670Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7445070Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7445507Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7445895Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7446317Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7446771Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7447180Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7447626Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7448107Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7448549Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7449020Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7449329Z [2022-11-23 01:30:03,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:32:31.7449832Z [2022-11-23 01:30:03,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7450086Z [2022-11-23 01:30:03,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7450491Z [2022-11-23 01:30:03,387] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010>
2022-11-23T01:32:31.7450758Z [2022-11-23 01:30:03,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7450987Z [2022-11-23 01:30:03,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7451243Z [2022-11-23 01:30:03,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7451497Z [2022-11-23 01:30:03,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7451694Z [2022-11-23 01:30:03,391] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7451835Z  __compiled_fn_617 <eval_with_key>.3821 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7451930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7452027Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7452122Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7452322Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7452462Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7452468Z 
2022-11-23T01:32:31.7452792Z [2022-11-23 01:30:03,392] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7452894Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7452996Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7453089Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7453187Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7453277Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7453367Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7453450Z              12 RETURN_VALUE
2022-11-23T01:32:31.7453459Z 
2022-11-23T01:32:31.7453525Z  
2022-11-23T01:32:31.7453843Z [2022-11-23 01:30:03,392] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7453960Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_617)
2022-11-23T01:32:31.7454053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7454148Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7454231Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7454318Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7454412Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7454492Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7454589Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7454682Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7454764Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7454859Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7454949Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7455030Z              24 RETURN_VALUE
2022-11-23T01:32:31.7455035Z 
2022-11-23T01:32:31.7455101Z  
2022-11-23T01:32:31.7455293Z [2022-11-23 01:30:03,393] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7455368Z  - 
2022-11-23T01:32:31.7455495Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7455563Z             {
2022-11-23T01:32:31.7455704Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7455895Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7456021Z                 'obj_weakref': None
2022-11-23T01:32:31.7456250Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7456320Z             }
2022-11-23T01:32:31.7456389Z             
2022-11-23T01:32:31.7456492Z  - 
2022-11-23T01:32:31.7456616Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7456708Z             {
2022-11-23T01:32:31.7456862Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7456975Z                 'code': None,
2022-11-23T01:32:31.7457186Z                 'obj_weakref': <weakref at 0x7f1fd8168180; to 'Tensor' at 0x7f201e3a4090>
2022-11-23T01:32:31.7457437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7457505Z             }
2022-11-23T01:32:31.7457567Z             
2022-11-23T01:32:31.7457645Z  - 
2022-11-23T01:32:31.7457771Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7457841Z             {
2022-11-23T01:32:31.7457988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7458101Z                 'code': None,
2022-11-23T01:32:31.7458319Z                 'obj_weakref': <weakref at 0x7f1fd81b8090; to 'Tensor' at 0x7f1ffad3a840>
2022-11-23T01:32:31.7458565Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7458637Z             }
2022-11-23T01:32:31.7458704Z             
2022-11-23T01:32:31.7458778Z  - 
2022-11-23T01:32:31.7459034Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7459105Z             {
2022-11-23T01:32:31.7459253Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7459359Z                 'code': None,
2022-11-23T01:32:31.7459570Z                 'obj_weakref': <weakref at 0x7f1ffadc0ea0; to 'Tensor' at 0x7f2151f02b10>
2022-11-23T01:32:31.7459822Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7459893Z             }
2022-11-23T01:32:31.7459961Z             
2022-11-23T01:32:31.7460037Z  - 
2022-11-23T01:32:31.7460177Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7460239Z             {
2022-11-23T01:32:31.7460382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7460560Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7460685Z                 'obj_weakref': None
2022-11-23T01:32:31.7460916Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7460985Z             }
2022-11-23T01:32:31.7461053Z             
2022-11-23T01:32:31.7461121Z  - 
2022-11-23T01:32:31.7461247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7461316Z             {
2022-11-23T01:32:31.7461454Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7461674Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7461796Z                 'obj_weakref': None
2022-11-23T01:32:31.7462019Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7462081Z             }
2022-11-23T01:32:31.7462150Z             
2022-11-23T01:32:31.7462226Z  - 
2022-11-23T01:32:31.7462367Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7462434Z             {
2022-11-23T01:32:31.7462563Z                 'guard_types': None,
2022-11-23T01:32:31.7462676Z                 'code': None,
2022-11-23T01:32:31.7462792Z                 'obj_weakref': None
2022-11-23T01:32:31.7462915Z                 'guarded_class': None
2022-11-23T01:32:31.7462984Z             }
2022-11-23T01:32:31.7463053Z             
2022-11-23T01:32:31.7463320Z [2022-11-23 01:30:03,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 600
2022-11-23T01:32:31.7463585Z [2022-11-23 01:30:03,401] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T01:32:31.7463955Z [2022-11-23 01:30:03,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pa/cpavrzu3jrgatxivgdbqjvdemgrqn2new7wvajpxuiezcmgsimhp.py
2022-11-23T01:32:31.7464276Z [2022-11-23 01:30:03,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 600
2022-11-23T01:32:31.7464330Z 
2022-11-23T01:32:31.7464425Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7464500Z import torch
2022-11-23T01:32:31.7464577Z import random
2022-11-23T01:32:31.7464699Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7464824Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7464829Z 
2022-11-23T01:32:31.7464913Z aten = torch.ops.aten
2022-11-23T01:32:31.7465053Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7465145Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7465157Z 
2022-11-23T01:32:31.7465226Z import triton
2022-11-23T01:32:31.7465323Z import triton.language as tl
2022-11-23T01:32:31.7465452Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7465596Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7465602Z 
2022-11-23T01:32:31.7465609Z 
2022-11-23T01:32:31.7465702Z async_compile.wait(globals())
2022-11-23T01:32:31.7465783Z del async_compile
2022-11-23T01:32:31.7465788Z 
2022-11-23T01:32:31.7465864Z def call(args):
2022-11-23T01:32:31.7465945Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7466024Z     args.clear()
2022-11-23T01:32:31.7466187Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T01:32:31.7466262Z     del arg0_1
2022-11-23T01:32:31.7466334Z     del arg1_1
2022-11-23T01:32:31.7466406Z     del arg2_1
2022-11-23T01:32:31.7466479Z     buf1 = buf0
2022-11-23T01:32:31.7466589Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T01:32:31.7466664Z     del buf0
2022-11-23T01:32:31.7466740Z     return (buf1, )
2022-11-23T01:32:31.7466745Z 
2022-11-23T01:32:31.7466750Z 
2022-11-23T01:32:31.7466830Z if __name__ == "__main__":
2022-11-23T01:32:31.7466950Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7467081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7467314Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7467534Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7467747Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7467876Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7467881Z 
2022-11-23T01:32:31.7467886Z 
2022-11-23T01:32:31.7467985Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7468060Z import torch
2022-11-23T01:32:31.7468137Z import random
2022-11-23T01:32:31.7468257Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7468382Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7468388Z 
2022-11-23T01:32:31.7468470Z aten = torch.ops.aten
2022-11-23T01:32:31.7468606Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7468706Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7468711Z 
2022-11-23T01:32:31.7468785Z import triton
2022-11-23T01:32:31.7468879Z import triton.language as tl
2022-11-23T01:32:31.7469007Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7469148Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7469154Z 
2022-11-23T01:32:31.7469158Z 
2022-11-23T01:32:31.7469250Z async_compile.wait(globals())
2022-11-23T01:32:31.7469329Z del async_compile
2022-11-23T01:32:31.7469334Z 
2022-11-23T01:32:31.7469403Z def call(args):
2022-11-23T01:32:31.7469492Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7469571Z     args.clear()
2022-11-23T01:32:31.7469728Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T01:32:31.7469802Z     del arg0_1
2022-11-23T01:32:31.7469873Z     del arg1_1
2022-11-23T01:32:31.7469971Z     del arg2_1
2022-11-23T01:32:31.7470056Z     buf1 = buf0
2022-11-23T01:32:31.7470171Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T01:32:31.7470302Z     del buf0
2022-11-23T01:32:31.7470395Z     return (buf1, )
2022-11-23T01:32:31.7470402Z 
2022-11-23T01:32:31.7470408Z 
2022-11-23T01:32:31.7470507Z if __name__ == "__main__":
2022-11-23T01:32:31.7470626Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7470753Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7470974Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7471188Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7471404Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7471532Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7471540Z 
2022-11-23T01:32:31.7471610Z ok (0.065s)
2022-11-23T01:32:31.7471960Z   test_max_pool2d_with_indices_backward_cuda (__main__.CudaTests) ... [2022-11-23 01:30:03,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7472280Z [2022-11-23 01:30:03,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7472503Z [2022-11-23 01:30:03,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7472759Z [2022-11-23 01:30:03,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7473041Z [2022-11-23 01:30:03,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7473359Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7473705Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7474031Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7474407Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907> 
2022-11-23T01:32:31.7474508Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7474641Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7474646Z 
2022-11-23T01:32:31.7474743Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7474840Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7474937Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7475027Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7475121Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7475214Z               14 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7475303Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7475396Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7475486Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:31.7475575Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:31.7475665Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7475750Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7475840Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7475929Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7476028Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7476149Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7476155Z 
2022-11-23T01:32:31.7476269Z 3908          36 CALL_METHOD              8
2022-11-23T01:32:31.7476352Z               38 RETURN_VALUE
2022-11-23T01:32:31.7476411Z  
2022-11-23T01:32:31.7476416Z 
2022-11-23T01:32:31.7476730Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:31.7476953Z [2022-11-23 01:30:03,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7477302Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7477619Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909
2022-11-23T01:32:31.7477912Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7478234Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7478581Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7478965Z [2022-11-23 01:30:03,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7479382Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7479747Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7480149Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7480574Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7480957Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7481381Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7481837Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7482244Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7482687Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7483186Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7483655Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7484123Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7484433Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:31.7484934Z [2022-11-23 01:30:03,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7485189Z [2022-11-23 01:30:03,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7485566Z [2022-11-23 01:30:03,420] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907>
2022-11-23T01:32:31.7485812Z [2022-11-23 01:30:03,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7486044Z [2022-11-23 01:30:03,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7486300Z [2022-11-23 01:30:03,421] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7486550Z [2022-11-23 01:30:03,424] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7486747Z [2022-11-23 01:30:03,424] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7486889Z  __compiled_fn_618 <eval_with_key>.3827 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7486983Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7487075Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7487163Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7487368Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7487506Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7487512Z 
2022-11-23T01:32:31.7487827Z [2022-11-23 01:30:03,424] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7487931Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7488030Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7488123Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7488222Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7488314Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7488406Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7488488Z              12 RETURN_VALUE
2022-11-23T01:32:31.7488493Z 
2022-11-23T01:32:31.7488551Z  
2022-11-23T01:32:31.7488869Z [2022-11-23 01:30:03,424] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7488988Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_618)
2022-11-23T01:32:31.7489083Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7489178Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7489282Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7489396Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7489483Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7489566Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7489661Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7489752Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7489832Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7489927Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7490022Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7490096Z              24 RETURN_VALUE
2022-11-23T01:32:31.7490108Z 
2022-11-23T01:32:31.7490166Z  
2022-11-23T01:32:31.7490354Z [2022-11-23 01:30:03,425] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7490429Z  - 
2022-11-23T01:32:31.7490551Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7490619Z             {
2022-11-23T01:32:31.7490765Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7490953Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7491073Z                 'obj_weakref': None
2022-11-23T01:32:31.7491300Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7491369Z             }
2022-11-23T01:32:31.7491436Z             
2022-11-23T01:32:31.7491511Z  - 
2022-11-23T01:32:31.7491637Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7491705Z             {
2022-11-23T01:32:31.7491844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7491953Z                 'code': None,
2022-11-23T01:32:31.7492164Z                 'obj_weakref': <weakref at 0x7f1fd819a390; to 'Tensor' at 0x7f201e3a4090>
2022-11-23T01:32:31.7492415Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7492485Z             }
2022-11-23T01:32:31.7492556Z             
2022-11-23T01:32:31.7492631Z  - 
2022-11-23T01:32:31.7492754Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7492822Z             {
2022-11-23T01:32:31.7492971Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7493082Z                 'code': None,
2022-11-23T01:32:31.7493295Z                 'obj_weakref': <weakref at 0x7f1fd8199c10; to 'Tensor' at 0x7f1ffad505e0>
2022-11-23T01:32:31.7493541Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7493610Z             }
2022-11-23T01:32:31.7493672Z             
2022-11-23T01:32:31.7493747Z  - 
2022-11-23T01:32:31.7493873Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7493940Z             {
2022-11-23T01:32:31.7494086Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7494198Z                 'code': None,
2022-11-23T01:32:31.7494409Z                 'obj_weakref': <weakref at 0x7f1fd8199c60; to 'Tensor' at 0x7f1ffad50680>
2022-11-23T01:32:31.7494649Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7494719Z             }
2022-11-23T01:32:31.7494788Z             
2022-11-23T01:32:31.7494863Z  - 
2022-11-23T01:32:31.7494998Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7495065Z             {
2022-11-23T01:32:31.7495205Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7495374Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7495495Z                 'obj_weakref': None
2022-11-23T01:32:31.7495725Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7495794Z             }
2022-11-23T01:32:31.7495863Z             
2022-11-23T01:32:31.7495938Z  - 
2022-11-23T01:32:31.7496063Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7496124Z             {
2022-11-23T01:32:31.7496298Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7496539Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7496661Z                 'obj_weakref': None
2022-11-23T01:32:31.7496881Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7496953Z             }
2022-11-23T01:32:31.7497017Z             
2022-11-23T01:32:31.7497085Z  - 
2022-11-23T01:32:31.7497221Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7497291Z             {
2022-11-23T01:32:31.7497418Z                 'guard_types': None,
2022-11-23T01:32:31.7497528Z                 'code': None,
2022-11-23T01:32:31.7497653Z                 'obj_weakref': None
2022-11-23T01:32:31.7497772Z                 'guarded_class': None
2022-11-23T01:32:31.7497841Z             }
2022-11-23T01:32:31.7497907Z             
2022-11-23T01:32:31.7498168Z [2022-11-23 01:30:03,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 601
2022-11-23T01:32:31.7498420Z [2022-11-23 01:30:03,457] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7498895Z [2022-11-23 01:30:03,572] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3h/c3htxjyg6urcsf6lbe7bxdonrebedwn4dec7bqs7zemha5xhbhvy.py
2022-11-23T01:32:31.7499169Z [2022-11-23 01:30:03,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 601
2022-11-23T01:32:31.7499408Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7499718Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7499933Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7500191Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7500475Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7500794Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7501145Z [2022-11-23 01:30:03,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7501465Z [2022-11-23 01:30:03,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7501841Z [2022-11-23 01:30:03,577] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907> 
2022-11-23T01:32:31.7501946Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7502084Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:31.7502090Z 
2022-11-23T01:32:31.7502185Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7502274Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7502369Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7502462Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7502554Z               12 BUILD_LIST               2
2022-11-23T01:32:31.7502648Z               14 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7502739Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:31.7502834Z               18 BUILD_LIST               2
2022-11-23T01:32:31.7502919Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:31.7503009Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:31.7503100Z               24 BUILD_LIST               2
2022-11-23T01:32:31.7503234Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7503352Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:31.7503442Z               30 BUILD_LIST               2
2022-11-23T01:32:31.7503540Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:31.7503626Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:31.7503639Z 
2022-11-23T01:32:31.7503725Z 3908          36 CALL_METHOD              8
2022-11-23T01:32:31.7503807Z               38 RETURN_VALUE
2022-11-23T01:32:31.7503877Z  
2022-11-23T01:32:31.7503882Z 
2022-11-23T01:32:31.7504203Z [2022-11-23 01:30:03,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:31.7504424Z [2022-11-23 01:30:03,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7504775Z [2022-11-23 01:30:03,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7505096Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909
2022-11-23T01:32:31.7505390Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:31.7505711Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:31.7506051Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7506433Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7506846Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7507213Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.7507619Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7508049Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7508434Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7508855Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7509305Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7509709Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7510175Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7510780Z [2022-11-23 01:30:03,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7511217Z [2022-11-23 01:30:03,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.7511687Z [2022-11-23 01:30:03,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7511998Z [2022-11-23 01:30:03,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:32:31.7512499Z [2022-11-23 01:30:03,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:31.7512748Z [2022-11-23 01:30:03,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7513124Z [2022-11-23 01:30:03,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907>
2022-11-23T01:32:31.7513370Z [2022-11-23 01:30:03,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7513609Z [2022-11-23 01:30:03,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7513864Z [2022-11-23 01:30:03,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7514123Z [2022-11-23 01:30:03,588] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7514317Z [2022-11-23 01:30:03,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7514459Z  __compiled_fn_619 <eval_with_key>.3833 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7514554Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7514649Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7514733Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.7514940Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:31.7515082Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:31.7515088Z 
2022-11-23T01:32:31.7515416Z [2022-11-23 01:30:03,589] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7515516Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7515614Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7515707Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7515804Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7515888Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7515982Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7516063Z              12 RETURN_VALUE
2022-11-23T01:32:31.7516068Z 
2022-11-23T01:32:31.7516133Z  
2022-11-23T01:32:31.7516485Z [2022-11-23 01:30:03,589] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7516624Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_619)
2022-11-23T01:32:31.7516722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7516817Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7516892Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7516985Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7517079Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7517158Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7517249Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7517341Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7517420Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.7517505Z              20 CALL_FUNCTION            3
2022-11-23T01:32:31.7517605Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7517689Z              24 RETURN_VALUE
2022-11-23T01:32:31.7517694Z 
2022-11-23T01:32:31.7517762Z  
2022-11-23T01:32:31.7517952Z [2022-11-23 01:30:03,590] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7518027Z  - 
2022-11-23T01:32:31.7518151Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7518213Z             {
2022-11-23T01:32:31.7518359Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7518549Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:31.7518673Z                 'obj_weakref': None
2022-11-23T01:32:31.7518900Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7518970Z             }
2022-11-23T01:32:31.7519037Z             
2022-11-23T01:32:31.7519105Z  - 
2022-11-23T01:32:31.7519232Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7519300Z             {
2022-11-23T01:32:31.7519448Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7519563Z                 'code': None,
2022-11-23T01:32:31.7519782Z                 'obj_weakref': <weakref at 0x7f1ffad505e0; to 'Tensor' at 0x7f1ffad79760>
2022-11-23T01:32:31.7520040Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7520101Z             }
2022-11-23T01:32:31.7520169Z             
2022-11-23T01:32:31.7520243Z  - 
2022-11-23T01:32:31.7520373Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7520441Z             {
2022-11-23T01:32:31.7520588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7520700Z                 'code': None,
2022-11-23T01:32:31.7520909Z                 'obj_weakref': <weakref at 0x7f1ffadbe020; to 'Tensor' at 0x7f1fd8c25e90>
2022-11-23T01:32:31.7521161Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7521228Z             }
2022-11-23T01:32:31.7521296Z             
2022-11-23T01:32:31.7521375Z  - 
2022-11-23T01:32:31.7521502Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.7521570Z             {
2022-11-23T01:32:31.7521711Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7521823Z                 'code': None,
2022-11-23T01:32:31.7522036Z                 'obj_weakref': <weakref at 0x7f1fd8199c60; to 'Tensor' at 0x7f1ffad50680>
2022-11-23T01:32:31.7522286Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7522355Z             }
2022-11-23T01:32:31.7522421Z             
2022-11-23T01:32:31.7522495Z  - 
2022-11-23T01:32:31.7522624Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7522695Z             {
2022-11-23T01:32:31.7522833Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7523007Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7523133Z                 'obj_weakref': None
2022-11-23T01:32:31.7523393Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7523481Z             }
2022-11-23T01:32:31.7523542Z             
2022-11-23T01:32:31.7523618Z  - 
2022-11-23T01:32:31.7523745Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7523813Z             {
2022-11-23T01:32:31.7523952Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7524170Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7524293Z                 'obj_weakref': None
2022-11-23T01:32:31.7524509Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7524577Z             }
2022-11-23T01:32:31.7524644Z             
2022-11-23T01:32:31.7524718Z  - 
2022-11-23T01:32:31.7524854Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7524922Z             {
2022-11-23T01:32:31.7525046Z                 'guard_types': None,
2022-11-23T01:32:31.7525153Z                 'code': None,
2022-11-23T01:32:31.7525280Z                 'obj_weakref': None
2022-11-23T01:32:31.7525405Z                 'guarded_class': None
2022-11-23T01:32:31.7525476Z             }
2022-11-23T01:32:31.7525546Z             
2022-11-23T01:32:31.7525805Z [2022-11-23 01:30:03,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 602
2022-11-23T01:32:31.7526055Z [2022-11-23 01:30:03,610] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7526413Z [2022-11-23 01:30:03,714] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2z/c2zwvo6ses2wfrr7qc3max6hrafusjsseodtt2ttfdqbdmsunw3s.py
2022-11-23T01:32:31.7526669Z [2022-11-23 01:30:03,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 602
2022-11-23T01:32:31.7526675Z 
2022-11-23T01:32:31.7526774Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7526846Z import torch
2022-11-23T01:32:31.7526923Z import random
2022-11-23T01:32:31.7527048Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7527176Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7527182Z 
2022-11-23T01:32:31.7527263Z aten = torch.ops.aten
2022-11-23T01:32:31.7527395Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7527493Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7527498Z 
2022-11-23T01:32:31.7527574Z import triton
2022-11-23T01:32:31.7527668Z import triton.language as tl
2022-11-23T01:32:31.7527795Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7527937Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7527943Z 
2022-11-23T01:32:31.7527947Z 
2022-11-23T01:32:31.7528155Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7528228Z import triton
2022-11-23T01:32:31.7528315Z import triton.language as tl
2022-11-23T01:32:31.7528430Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7528537Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7528671Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7528799Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7528804Z 
2022-11-23T01:32:31.7529194Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7529268Z @triton.jit
2022-11-23T01:32:31.7529411Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7529480Z     xnumel = 2016
2022-11-23T01:32:31.7529578Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7529708Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7529793Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7529898Z     x3 = xindex % 252
2022-11-23T01:32:31.7529982Z     x1 = (xindex // 14) % 18
2022-11-23T01:32:31.7530091Z     x0 = xindex % 14
2022-11-23T01:32:31.7530164Z     x2 = (xindex // 252)
2022-11-23T01:32:31.7530235Z     x5 = xindex
2022-11-23T01:32:31.7530306Z     tmp0 = x3
2022-11-23T01:32:31.7530383Z     tmp1 = (x1 // 2)
2022-11-23T01:32:31.7530457Z     tmp2 = (x0 // 2)
2022-11-23T01:32:31.7530535Z     tmp3 = 1 + (x1 // 2)
2022-11-23T01:32:31.7530611Z     tmp4 = 1 + (x0 // 2)
2022-11-23T01:32:31.7530675Z     tmp5 = 0
2022-11-23T01:32:31.7530770Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7530867Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7530938Z     tmp8 = 9
2022-11-23T01:32:31.7531027Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7531096Z     tmp10 = 7
2022-11-23T01:32:31.7531183Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7531264Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7531340Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7531409Z     tmp14 = 1
2022-11-23T01:32:31.7531526Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7531625Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7531739Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7531830Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7531983Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (7*tmp16) + (63*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7532127Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (7*tmp16) + (63*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7532209Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7532282Z     tmp22 = 0.0
2022-11-23T01:32:31.7532383Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7532524Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:31.7532603Z ''')
2022-11-23T01:32:31.7532616Z 
2022-11-23T01:32:31.7532621Z 
2022-11-23T01:32:31.7532707Z async_compile.wait(globals())
2022-11-23T01:32:31.7532784Z del async_compile
2022-11-23T01:32:31.7532789Z 
2022-11-23T01:32:31.7532863Z def call(args):
2022-11-23T01:32:31.7532951Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7533030Z     args.clear()
2022-11-23T01:32:31.7533257Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7533347Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7533523Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 2016, grid=grid(2016), stream=stream0)
2022-11-23T01:32:31.7533596Z     del arg0_1
2022-11-23T01:32:31.7533668Z     del arg2_1
2022-11-23T01:32:31.7533746Z     return (buf0, )
2022-11-23T01:32:31.7533751Z 
2022-11-23T01:32:31.7533755Z 
2022-11-23T01:32:31.7533834Z if __name__ == "__main__":
2022-11-23T01:32:31.7533953Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7534081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7534301Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7534520Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7534739Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7534869Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7534874Z 
2022-11-23T01:32:31.7534878Z 
2022-11-23T01:32:31.7534975Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7535047Z import torch
2022-11-23T01:32:31.7535121Z import random
2022-11-23T01:32:31.7535242Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7535367Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7535372Z 
2022-11-23T01:32:31.7535448Z aten = torch.ops.aten
2022-11-23T01:32:31.7535589Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7535684Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7535689Z 
2022-11-23T01:32:31.7535763Z import triton
2022-11-23T01:32:31.7535886Z import triton.language as tl
2022-11-23T01:32:31.7536015Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7536180Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7536185Z 
2022-11-23T01:32:31.7536190Z 
2022-11-23T01:32:31.7536396Z triton_fused_max_pool2d_with_indices_backward0 = async_compile.triton('''
2022-11-23T01:32:31.7536464Z import triton
2022-11-23T01:32:31.7536554Z import triton.language as tl
2022-11-23T01:32:31.7536669Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7536771Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7536905Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7537032Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7537037Z 
2022-11-23T01:32:31.7537427Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.7537502Z @triton.jit
2022-11-23T01:32:31.7537641Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7537717Z     xnumel = 2016
2022-11-23T01:32:31.7537816Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7537947Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7538029Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7538105Z     x3 = xindex % 252
2022-11-23T01:32:31.7538188Z     x1 = (xindex // 14) % 18
2022-11-23T01:32:31.7538257Z     x0 = xindex % 14
2022-11-23T01:32:31.7538339Z     x2 = (xindex // 252)
2022-11-23T01:32:31.7538411Z     x5 = xindex
2022-11-23T01:32:31.7538483Z     tmp0 = x3
2022-11-23T01:32:31.7538558Z     tmp1 = (x1 // 2)
2022-11-23T01:32:31.7538633Z     tmp2 = (x0 // 2)
2022-11-23T01:32:31.7538710Z     tmp3 = 1 + (x1 // 2)
2022-11-23T01:32:31.7538780Z     tmp4 = 1 + (x0 // 2)
2022-11-23T01:32:31.7538959Z     tmp5 = 0
2022-11-23T01:32:31.7539059Z     tmp6 = tl.maximum(tmp1, tmp5)
2022-11-23T01:32:31.7539150Z     tmp7 = tl.maximum(tmp2, tmp5)
2022-11-23T01:32:31.7539225Z     tmp8 = 9
2022-11-23T01:32:31.7539316Z     tmp9 = tl.minimum(tmp3, tmp8)
2022-11-23T01:32:31.7539380Z     tmp10 = 7
2022-11-23T01:32:31.7539474Z     tmp11 = tl.minimum(tmp4, tmp10)
2022-11-23T01:32:31.7539553Z     tmp12 = tmp6 + tmp5
2022-11-23T01:32:31.7539634Z     tmp13 = tmp7 + tmp5
2022-11-23T01:32:31.7539703Z     tmp14 = 1
2022-11-23T01:32:31.7539818Z     tmp15 = tmp9 - tmp14
2022-11-23T01:32:31.7539916Z     tmp16 = tl.minimum(tmp12, tmp15)
2022-11-23T01:32:31.7540022Z     tmp17 = tmp11 - tmp14
2022-11-23T01:32:31.7540116Z     tmp18 = tl.minimum(tmp13, tmp17)
2022-11-23T01:32:31.7540271Z     tmp19 = tl.load(in_ptr0 + (tmp18 + (7*tmp16) + (63*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7540436Z     tmp20 = tl.load(in_ptr1 + (tmp18 + (7*tmp16) + (63*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7540514Z     tmp21 = tmp19 == tmp0
2022-11-23T01:32:31.7540591Z     tmp22 = 0.0
2022-11-23T01:32:31.7540691Z     tmp23 = tl.where(tmp21, tmp20, tmp22)
2022-11-23T01:32:31.7540820Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp23, xmask)
2022-11-23T01:32:31.7540906Z ''')
2022-11-23T01:32:31.7540911Z 
2022-11-23T01:32:31.7540916Z 
2022-11-23T01:32:31.7541009Z async_compile.wait(globals())
2022-11-23T01:32:31.7541085Z del async_compile
2022-11-23T01:32:31.7541090Z 
2022-11-23T01:32:31.7541165Z def call(args):
2022-11-23T01:32:31.7541250Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:31.7541325Z     args.clear()
2022-11-23T01:32:31.7541548Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7541632Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7541812Z     triton_fused_max_pool2d_with_indices_backward0.run(arg2_1, arg0_1, buf0, 2016, grid=grid(2016), stream=stream0)
2022-11-23T01:32:31.7541885Z     del arg0_1
2022-11-23T01:32:31.7541956Z     del arg2_1
2022-11-23T01:32:31.7542074Z     return (buf0, )
2022-11-23T01:32:31.7542105Z 
2022-11-23T01:32:31.7542109Z 
2022-11-23T01:32:31.7542191Z if __name__ == "__main__":
2022-11-23T01:32:31.7542312Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7542438Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7542649Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7542867Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7543081Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7543210Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:31.7543216Z 
2022-11-23T01:32:31.7543291Z ok (0.309s)
2022-11-23T01:32:31.7543600Z   test_mean_cuda (__main__.CudaTests) ... [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7543922Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7544148Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7544405Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7544681Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7545001Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7545347Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7545672Z [2022-11-23 01:30:03,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7546051Z [2022-11-23 01:30:03,719] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177> 
2022-11-23T01:32:31.7546150Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7546251Z                2 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7546342Z                4 CALL_METHOD              0
2022-11-23T01:32:31.7546347Z 
2022-11-23T01:32:31.7546442Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7546534Z                8 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7546675Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.7546767Z               12 CALL_METHOD              1
2022-11-23T01:32:31.7546772Z 
2022-11-23T01:32:31.7546873Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.7546966Z               16 LOAD_ATTR                0 (mean)
2022-11-23T01:32:31.7547061Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7547199Z               20 LOAD_CONST               2 (-2)
2022-11-23T01:32:31.7547293Z               22 LOAD_CONST               3 (True)
2022-11-23T01:32:31.7547446Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:31.7547544Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.7547549Z 
2022-11-23T01:32:31.7547644Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7547741Z               30 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7547836Z               32 LOAD_CONST               5 (0)
2022-11-23T01:32:31.7547928Z               34 LOAD_CONST               6 (1)
2022-11-23T01:32:31.7548022Z               36 BUILD_LIST               2
2022-11-23T01:32:31.7548107Z               38 CALL_METHOD              1
2022-11-23T01:32:31.7548120Z 
2022-11-23T01:32:31.7548234Z 2178          40 BUILD_TUPLE              4
2022-11-23T01:32:31.7548340Z               42 RETURN_VALUE
2022-11-23T01:32:31.7548408Z  
2022-11-23T01:32:31.7548413Z 
2022-11-23T01:32:31.7548734Z [2022-11-23 01:30:03,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179
2022-11-23T01:32:31.7548952Z [2022-11-23 01:30:03,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7549194Z [2022-11-23 01:30:03,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T01:32:31.7549474Z [2022-11-23 01:30:03,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7549788Z [2022-11-23 01:30:03,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180
2022-11-23T01:32:31.7550024Z [2022-11-23 01:30:03,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.7550363Z [2022-11-23 01:30:03,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7550707Z [2022-11-23 01:30:03,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7551077Z [2022-11-23 01:30:03,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:31.7551392Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181
2022-11-23T01:32:31.7551668Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7552093Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7552473Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7552881Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7553324Z [2022-11-23 01:30:03,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7553818Z [2022-11-23 01:30:03,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.7554344Z [2022-11-23 01:30:03,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.7554661Z [2022-11-23 01:30:03,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182
2022-11-23T01:32:31.7554953Z [2022-11-23 01:30:03,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7555269Z [2022-11-23 01:30:03,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7555658Z [2022-11-23 01:30:03,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7556074Z [2022-11-23 01:30:03,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:31.7556504Z [2022-11-23 01:30:03,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7556886Z [2022-11-23 01:30:03,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T01:32:31.7557203Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178
2022-11-23T01:32:31.7557534Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7557783Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7558161Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177>
2022-11-23T01:32:31.7558409Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7558646Z [2022-11-23 01:30:03,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7558901Z [2022-11-23 01:30:03,725] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7559149Z [2022-11-23 01:30:03,729] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7559339Z [2022-11-23 01:30:03,729] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7559481Z  __compiled_fn_620 <eval_with_key>.3839 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7559573Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7559670Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T01:32:31.7559814Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T01:32:31.7560066Z call_function, mean_2, <built-in method mean of type object at 0x7f209c394c60>, (ex_0_, -2), {'keepdim': True}
2022-11-23T01:32:31.7560171Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T01:32:31.7560293Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T01:32:31.7560299Z 
2022-11-23T01:32:31.7560623Z [2022-11-23 01:30:03,729] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7560726Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7560821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7560913Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7561012Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7561104Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7561199Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7561274Z              12 RETURN_VALUE
2022-11-23T01:32:31.7561279Z 
2022-11-23T01:32:31.7561345Z  
2022-11-23T01:32:31.7561661Z [2022-11-23 01:30:03,729] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7561780Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_620)
2022-11-23T01:32:31.7561875Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7562000Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7562103Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7562190Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7562300Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7562409Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7562504Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7562589Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7562699Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7562794Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7562868Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7562975Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7563070Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7563150Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.7563257Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7563353Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.7563438Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.7563529Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.7563604Z              38 RETURN_VALUE
2022-11-23T01:32:31.7563609Z 
2022-11-23T01:32:31.7563675Z  
2022-11-23T01:32:31.7563864Z [2022-11-23 01:30:03,730] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7563940Z  - 
2022-11-23T01:32:31.7564063Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7564134Z             {
2022-11-23T01:32:31.7564279Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7564464Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7564586Z                 'obj_weakref': None
2022-11-23T01:32:31.7564812Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7564881Z             }
2022-11-23T01:32:31.7564950Z             
2022-11-23T01:32:31.7565028Z  - 
2022-11-23T01:32:31.7565158Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7565220Z             {
2022-11-23T01:32:31.7565367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7565475Z                 'code': None,
2022-11-23T01:32:31.7565702Z                 'obj_weakref': <weakref at 0x7f1ffad50f40; to 'Tensor' at 0x7f20680bc0e0>
2022-11-23T01:32:31.7565949Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7566020Z             }
2022-11-23T01:32:31.7566091Z             
2022-11-23T01:32:31.7566164Z  - 
2022-11-23T01:32:31.7566293Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7566361Z             {
2022-11-23T01:32:31.7566502Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7566678Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7566801Z                 'obj_weakref': None
2022-11-23T01:32:31.7567037Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7567111Z             }
2022-11-23T01:32:31.7567172Z             
2022-11-23T01:32:31.7567248Z  - 
2022-11-23T01:32:31.7567375Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7567444Z             {
2022-11-23T01:32:31.7567585Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7567810Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7567933Z                 'obj_weakref': None
2022-11-23T01:32:31.7568151Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7568221Z             }
2022-11-23T01:32:31.7568288Z             
2022-11-23T01:32:31.7568363Z  - 
2022-11-23T01:32:31.7568502Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7568573Z             {
2022-11-23T01:32:31.7568757Z                 'guard_types': None,
2022-11-23T01:32:31.7568865Z                 'code': None,
2022-11-23T01:32:31.7569030Z                 'obj_weakref': None
2022-11-23T01:32:31.7569160Z                 'guarded_class': None
2022-11-23T01:32:31.7569226Z             }
2022-11-23T01:32:31.7569294Z             
2022-11-23T01:32:31.7569563Z [2022-11-23 01:30:03,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 603
2022-11-23T01:32:31.7570079Z [2022-11-23 01:30:03,919] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7570592Z [2022-11-23 01:30:03,921] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7570835Z [2022-11-23 01:30:03,923] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.7571082Z [2022-11-23 01:30:03,928] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:31.7571444Z [2022-11-23 01:30:04,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uf/cuf7rg5goe6zwifh5ixyyuhitu2qoojfzgfd4dmfobg4nlx267xc.py
2022-11-23T01:32:31.7571706Z [2022-11-23 01:30:04,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 603
2022-11-23T01:32:31.7571942Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7572260Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7572479Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7572735Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7573015Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7573332Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7573666Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7573989Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7574359Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177> 
2022-11-23T01:32:31.7574460Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7574565Z                2 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7574660Z                4 CALL_METHOD              0
2022-11-23T01:32:31.7574665Z 
2022-11-23T01:32:31.7574763Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7574863Z                8 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7575006Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.7575093Z               12 CALL_METHOD              1
2022-11-23T01:32:31.7575098Z 
2022-11-23T01:32:31.7575200Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.7575297Z               16 LOAD_ATTR                0 (mean)
2022-11-23T01:32:31.7575393Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7575530Z               20 LOAD_CONST               2 (-2)
2022-11-23T01:32:31.7575627Z               22 LOAD_CONST               3 (True)
2022-11-23T01:32:31.7575810Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:31.7575934Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.7575945Z 
2022-11-23T01:32:31.7576033Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7576132Z               30 LOAD_METHOD              0 (mean)
2022-11-23T01:32:31.7576225Z               32 LOAD_CONST               5 (0)
2022-11-23T01:32:31.7576320Z               34 LOAD_CONST               6 (1)
2022-11-23T01:32:31.7576412Z               36 BUILD_LIST               2
2022-11-23T01:32:31.7576505Z               38 CALL_METHOD              1
2022-11-23T01:32:31.7576510Z 
2022-11-23T01:32:31.7576603Z 2178          40 BUILD_TUPLE              4
2022-11-23T01:32:31.7576679Z               42 RETURN_VALUE
2022-11-23T01:32:31.7576742Z  
2022-11-23T01:32:31.7576747Z 
2022-11-23T01:32:31.7577064Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179
2022-11-23T01:32:31.7577278Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7577526Z [2022-11-23 01:30:04,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T01:32:31.7577806Z [2022-11-23 01:30:04,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7578117Z [2022-11-23 01:30:04,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180
2022-11-23T01:32:31.7578354Z [2022-11-23 01:30:04,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.7578625Z [2022-11-23 01:30:04,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7579037Z [2022-11-23 01:30:04,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7579383Z [2022-11-23 01:30:04,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:31.7579699Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181
2022-11-23T01:32:31.7579982Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7580404Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7580782Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7581192Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7581637Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7582130Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.7582703Z [2022-11-23 01:30:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.7583047Z [2022-11-23 01:30:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182
2022-11-23T01:32:31.7583342Z [2022-11-23 01:30:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7583669Z [2022-11-23 01:30:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7584024Z [2022-11-23 01:30:04,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:31.7584420Z [2022-11-23 01:30:04,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:31.7584844Z [2022-11-23 01:30:04,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7585224Z [2022-11-23 01:30:04,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T01:32:31.7585540Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178
2022-11-23T01:32:31.7585867Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7586122Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7586504Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177>
2022-11-23T01:32:31.7586756Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7586997Z [2022-11-23 01:30:04,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7587257Z [2022-11-23 01:30:04,119] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7587514Z [2022-11-23 01:30:04,123] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7587710Z [2022-11-23 01:30:04,123] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7587847Z  __compiled_fn_621 <eval_with_key>.3845 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7587943Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7588043Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T01:32:31.7588187Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T01:32:31.7588446Z call_function, mean_2, <built-in method mean of type object at 0x7f209c394c60>, (ex_0_, -2), {'keepdim': True}
2022-11-23T01:32:31.7588555Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T01:32:31.7588685Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T01:32:31.7588690Z 
2022-11-23T01:32:31.7589023Z [2022-11-23 01:30:04,124] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7589116Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7589213Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7589305Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7589431Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7589542Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7589635Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7589715Z              12 RETURN_VALUE
2022-11-23T01:32:31.7589721Z 
2022-11-23T01:32:31.7589780Z  
2022-11-23T01:32:31.7590100Z [2022-11-23 01:30:04,124] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7590218Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_621)
2022-11-23T01:32:31.7590388Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7590491Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7590573Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7590668Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7590781Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7590885Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7590981Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7591069Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7591178Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7591273Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7591360Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7591465Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7591553Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7591636Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.7591743Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7591838Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.7591920Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.7592014Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.7592097Z              38 RETURN_VALUE
2022-11-23T01:32:31.7592102Z 
2022-11-23T01:32:31.7592161Z  
2022-11-23T01:32:31.7592355Z [2022-11-23 01:30:04,124] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7592434Z  - 
2022-11-23T01:32:31.7592558Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7592630Z             {
2022-11-23T01:32:31.7592778Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7592966Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7593083Z                 'obj_weakref': None
2022-11-23T01:32:31.7593309Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7593385Z             }
2022-11-23T01:32:31.7593454Z             
2022-11-23T01:32:31.7593531Z  - 
2022-11-23T01:32:31.7593660Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7593730Z             {
2022-11-23T01:32:31.7593870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7593984Z                 'code': None,
2022-11-23T01:32:31.7594199Z                 'obj_weakref': <weakref at 0x7f1fd817b010; to 'Tensor' at 0x7f1fd816ad40>
2022-11-23T01:32:31.7594458Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7594530Z             }
2022-11-23T01:32:31.7594599Z             
2022-11-23T01:32:31.7594676Z  - 
2022-11-23T01:32:31.7594805Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7594875Z             {
2022-11-23T01:32:31.7595017Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7595193Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:31.7595318Z                 'obj_weakref': None
2022-11-23T01:32:31.7595548Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7595615Z             }
2022-11-23T01:32:31.7595677Z             
2022-11-23T01:32:31.7595752Z  - 
2022-11-23T01:32:31.7595878Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7595983Z             {
2022-11-23T01:32:31.7596125Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7596365Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7596487Z                 'obj_weakref': None
2022-11-23T01:32:31.7596701Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7596770Z             }
2022-11-23T01:32:31.7596838Z             
2022-11-23T01:32:31.7596915Z  - 
2022-11-23T01:32:31.7597053Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7597123Z             {
2022-11-23T01:32:31.7597247Z                 'guard_types': None,
2022-11-23T01:32:31.7597351Z                 'code': None,
2022-11-23T01:32:31.7597472Z                 'obj_weakref': None
2022-11-23T01:32:31.7597597Z                 'guarded_class': None
2022-11-23T01:32:31.7597666Z             }
2022-11-23T01:32:31.7597734Z             
2022-11-23T01:32:31.7597997Z [2022-11-23 01:30:04,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 604
2022-11-23T01:32:31.7598505Z [2022-11-23 01:30:04,152] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7598724Z [2022-11-23 01:30:04,153] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.7599221Z [2022-11-23 01:30:04,154] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7599432Z [2022-11-23 01:30:04,155] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.7599678Z [2022-11-23 01:30:04,156] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.7599927Z [2022-11-23 01:30:04,160] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:31.7599935Z 
2022-11-23T01:32:31.7600035Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7600109Z import torch
2022-11-23T01:32:31.7600184Z import random
2022-11-23T01:32:31.7600308Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7600429Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7600442Z 
2022-11-23T01:32:31.7600519Z aten = torch.ops.aten
2022-11-23T01:32:31.7600661Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7600761Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7600767Z 
2022-11-23T01:32:31.7600841Z import triton
2022-11-23T01:32:31.7600935Z import triton.language as tl
2022-11-23T01:32:31.7601064Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7601213Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7601221Z 
2022-11-23T01:32:31.7601226Z 
2022-11-23T01:32:31.7601377Z triton_fused_mean0 = async_compile.triton('''
2022-11-23T01:32:31.7601453Z import triton
2022-11-23T01:32:31.7601545Z import triton.language as tl
2022-11-23T01:32:31.7601661Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7601764Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7601899Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7602042Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7602049Z 
2022-11-23T01:32:31.7602151Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:31.7602286Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7602371Z               filename=__file__,
2022-11-23T01:32:31.7602702Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:31.7602778Z @triton.jit
2022-11-23T01:32:31.7602982Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7603085Z     xnumel = 1
2022-11-23T01:32:31.7603158Z     rnumel = 64
2022-11-23T01:32:31.7603251Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7603390Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7603475Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7603597Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7603719Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7603827Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7603918Z         rindex = roffset + rbase
2022-11-23T01:32:31.7603997Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7604072Z         r0 = rindex
2022-11-23T01:32:31.7604270Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7604395Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.7604513Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7604588Z     tmp2 = 64
2022-11-23T01:32:31.7604668Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.7604803Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp3, None)
2022-11-23T01:32:31.7604890Z ''')
2022-11-23T01:32:31.7604896Z 
2022-11-23T01:32:31.7604901Z 
2022-11-23T01:32:31.7605059Z triton_fused_mean_11 = async_compile.triton('''
2022-11-23T01:32:31.7605134Z import triton
2022-11-23T01:32:31.7605228Z import triton.language as tl
2022-11-23T01:32:31.7605346Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7605450Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7605584Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7605704Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7605709Z 
2022-11-23T01:32:31.7605799Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.7605918Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7606007Z               filename=__file__,
2022-11-23T01:32:31.7606332Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7606405Z @triton.jit
2022-11-23T01:32:31.7606577Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7606651Z     xnumel = 8
2022-11-23T01:32:31.7606717Z     rnumel = 8
2022-11-23T01:32:31.7606815Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7606954Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7607040Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7607162Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7607235Z     x0 = xindex
2022-11-23T01:32:31.7607355Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7607458Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7607550Z         rindex = roffset + rbase
2022-11-23T01:32:31.7607637Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7607709Z         r1 = rindex
2022-11-23T01:32:31.7607927Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7608050Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.7608167Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7608231Z     tmp2 = 8
2022-11-23T01:32:31.7608312Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.7608453Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.7608539Z ''')
2022-11-23T01:32:31.7608545Z 
2022-11-23T01:32:31.7608549Z 
2022-11-23T01:32:31.7608706Z triton_fused_mean_22 = async_compile.triton('''
2022-11-23T01:32:31.7608783Z import triton
2022-11-23T01:32:31.7608876Z import triton.language as tl
2022-11-23T01:32:31.7609017Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7609141Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7609276Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7609405Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7609410Z 
2022-11-23T01:32:31.7609785Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7609859Z @triton.jit
2022-11-23T01:32:31.7609994Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7610066Z     xnumel = 16
2022-11-23T01:32:31.7610158Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7610296Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7610383Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7610457Z     x0 = xindex % 8
2022-11-23T01:32:31.7610539Z     x1 = (xindex // 8)
2022-11-23T01:32:31.7610611Z     x2 = xindex
2022-11-23T01:32:31.7610724Z     tmp0 = tl.load(in_ptr0 + (x0 + (32*x1)), xmask)
2022-11-23T01:32:31.7610827Z     tmp1 = tl.load(in_ptr0 + (8 + x0 + (32*x1)), xmask)
2022-11-23T01:32:31.7610941Z     tmp3 = tl.load(in_ptr0 + (16 + x0 + (32*x1)), xmask)
2022-11-23T01:32:31.7611054Z     tmp5 = tl.load(in_ptr0 + (24 + x0 + (32*x1)), xmask)
2022-11-23T01:32:31.7611133Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7611213Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.7611291Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:31.7611362Z     tmp7 = 4
2022-11-23T01:32:31.7611433Z     tmp8 = tmp6 / tmp7
2022-11-23T01:32:31.7611571Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.7611658Z ''')
2022-11-23T01:32:31.7611663Z 
2022-11-23T01:32:31.7611668Z 
2022-11-23T01:32:31.7611828Z triton_fused_mean_33 = async_compile.triton('''
2022-11-23T01:32:31.7611905Z import triton
2022-11-23T01:32:31.7611998Z import triton.language as tl
2022-11-23T01:32:31.7612118Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7612220Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7612356Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7612483Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7612489Z 
2022-11-23T01:32:31.7612857Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7612931Z @triton.jit
2022-11-23T01:32:31.7613066Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7613143Z     xnumel = 32
2022-11-23T01:32:31.7613242Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7613367Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7613450Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7613523Z     x0 = xindex
2022-11-23T01:32:31.7613623Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.7613731Z     tmp1 = tl.load(in_ptr0 + (32 + x0), xmask)
2022-11-23T01:32:31.7613811Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7613881Z     tmp3 = 2
2022-11-23T01:32:31.7613953Z     tmp4 = tmp2 / tmp3
2022-11-23T01:32:31.7614091Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.7614177Z ''')
2022-11-23T01:32:31.7614182Z 
2022-11-23T01:32:31.7614187Z 
2022-11-23T01:32:31.7614280Z async_compile.wait(globals())
2022-11-23T01:32:31.7614357Z del async_compile
2022-11-23T01:32:31.7614363Z 
2022-11-23T01:32:31.7614437Z def call(args):
2022-11-23T01:32:31.7614509Z     arg0_1, = args
2022-11-23T01:32:31.7614586Z     args.clear()
2022-11-23T01:32:31.7614769Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7614862Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:31.7614952Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7615123Z     triton_fused_mean0.run(buf2, arg0_1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7615347Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7615438Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:31.7615579Z     triton_fused_mean_11.run(buf3, arg0_1, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.7615783Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7615927Z     triton_fused_mean_22.run(arg0_1, buf4, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.7616122Z     buf5 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7616257Z     triton_fused_mean_33.run(arg0_1, buf5, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.7616330Z     del arg0_1
2022-11-23T01:32:31.7616424Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T01:32:31.7616429Z 
2022-11-23T01:32:31.7616434Z 
2022-11-23T01:32:31.7616514Z if __name__ == "__main__":
2022-11-23T01:32:31.7616637Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7616761Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7616978Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7617091Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7617096Z 
2022-11-23T01:32:31.7617468Z [2022-11-23 01:30:04,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ac/cacjjeosywbmkgbtmda75jldrowkeohjrt4s4tm7pgpjilxlrw5z.py
2022-11-23T01:32:31.7617736Z [2022-11-23 01:30:04,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 604
2022-11-23T01:32:31.7617742Z 
2022-11-23T01:32:31.7617844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7617919Z import torch
2022-11-23T01:32:31.7617996Z import random
2022-11-23T01:32:31.7618117Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7618240Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7618247Z 
2022-11-23T01:32:31.7618332Z aten = torch.ops.aten
2022-11-23T01:32:31.7618473Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7618570Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7618576Z 
2022-11-23T01:32:31.7618650Z import triton
2022-11-23T01:32:31.7618744Z import triton.language as tl
2022-11-23T01:32:31.7618982Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7619120Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7619132Z 
2022-11-23T01:32:31.7619137Z 
2022-11-23T01:32:31.7619287Z triton_fused_mean0 = async_compile.triton('''
2022-11-23T01:32:31.7619364Z import triton
2022-11-23T01:32:31.7619463Z import triton.language as tl
2022-11-23T01:32:31.7619578Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7619679Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7619817Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7619943Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7619950Z 
2022-11-23T01:32:31.7620035Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:31.7620151Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7620240Z               filename=__file__,
2022-11-23T01:32:31.7620569Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:31.7620643Z @triton.jit
2022-11-23T01:32:31.7620812Z def kernel(in_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7620886Z     xnumel = 1
2022-11-23T01:32:31.7620960Z     rnumel = 64
2022-11-23T01:32:31.7621052Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7621191Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7621321Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7621445Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7621598Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7621706Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7621801Z         rindex = roffset + rbase
2022-11-23T01:32:31.7621881Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7621955Z         r0 = rindex
2022-11-23T01:32:31.7622177Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.7622272Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.7622397Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:31.7622515Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7622589Z     tmp3 = 64
2022-11-23T01:32:31.7622661Z     tmp4 = tmp2 / tmp3
2022-11-23T01:32:31.7622750Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.7622890Z     tl.store(out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp5, None)
2022-11-23T01:32:31.7622977Z ''')
2022-11-23T01:32:31.7622985Z 
2022-11-23T01:32:31.7622989Z 
2022-11-23T01:32:31.7623145Z triton_fused_mean_11 = async_compile.triton('''
2022-11-23T01:32:31.7623221Z import triton
2022-11-23T01:32:31.7623315Z import triton.language as tl
2022-11-23T01:32:31.7623425Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7623528Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7623662Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7623788Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7623794Z 
2022-11-23T01:32:31.7623883Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:31.7623998Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7624084Z               filename=__file__,
2022-11-23T01:32:31.7624410Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7624477Z @triton.jit
2022-11-23T01:32:31.7624651Z def kernel(in_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7624730Z     xnumel = 8
2022-11-23T01:32:31.7624803Z     rnumel = 8
2022-11-23T01:32:31.7624901Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7625039Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7625124Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7625237Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7625309Z     x0 = xindex
2022-11-23T01:32:31.7625427Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7625534Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7625623Z         rindex = roffset + rbase
2022-11-23T01:32:31.7625709Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7625782Z         r1 = rindex
2022-11-23T01:32:31.7626020Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.7626116Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.7626240Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:31.7626358Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7626432Z     tmp3 = 8
2022-11-23T01:32:31.7626512Z     tmp4 = tmp2 / tmp3
2022-11-23T01:32:31.7626600Z     tmp5 = tmp4.to(tl.float32)
2022-11-23T01:32:31.7626731Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.7626817Z ''')
2022-11-23T01:32:31.7626823Z 
2022-11-23T01:32:31.7626827Z 
2022-11-23T01:32:31.7626985Z triton_fused_mean_22 = async_compile.triton('''
2022-11-23T01:32:31.7627061Z import triton
2022-11-23T01:32:31.7627155Z import triton.language as tl
2022-11-23T01:32:31.7627269Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7627372Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7627539Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7627679Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7627684Z 
2022-11-23T01:32:31.7628051Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7628127Z @triton.jit
2022-11-23T01:32:31.7628264Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7628344Z     xnumel = 16
2022-11-23T01:32:31.7628443Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7628576Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7628663Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7628732Z     x0 = xindex % 8
2022-11-23T01:32:31.7628812Z     x1 = (xindex // 8)
2022-11-23T01:32:31.7628884Z     x2 = xindex
2022-11-23T01:32:31.7629014Z     tmp0 = tl.load(in_ptr0 + (x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.7629142Z     tmp2 = tl.load(in_ptr0 + (8 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.7629274Z     tmp5 = tl.load(in_ptr0 + (16 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.7629404Z     tmp8 = tl.load(in_ptr0 + (24 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:31.7629486Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.7629572Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.7629651Z     tmp4 = tmp1 + tmp3
2022-11-23T01:32:31.7629736Z     tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:31.7629814Z     tmp7 = tmp4 + tmp6
2022-11-23T01:32:31.7629898Z     tmp9 = tmp8.to(tl.float32)
2022-11-23T01:32:31.7629978Z     tmp10 = tmp7 + tmp9
2022-11-23T01:32:31.7630044Z     tmp11 = 4
2022-11-23T01:32:31.7630125Z     tmp12 = tmp10 / tmp11
2022-11-23T01:32:31.7630218Z     tmp13 = tmp12.to(tl.float32)
2022-11-23T01:32:31.7630471Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:31.7630577Z ''')
2022-11-23T01:32:31.7630585Z 
2022-11-23T01:32:31.7630590Z 
2022-11-23T01:32:31.7630753Z triton_fused_mean_33 = async_compile.triton('''
2022-11-23T01:32:31.7630829Z import triton
2022-11-23T01:32:31.7630915Z import triton.language as tl
2022-11-23T01:32:31.7631031Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7631134Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7631267Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7631393Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7631398Z 
2022-11-23T01:32:31.7631768Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7631842Z @triton.jit
2022-11-23T01:32:31.7631998Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7632070Z     xnumel = 32
2022-11-23T01:32:31.7632191Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7632325Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7632410Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7632481Z     x0 = xindex
2022-11-23T01:32:31.7632599Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.7632721Z     tmp2 = tl.load(in_ptr0 + (32 + x0), xmask).to(tl.float32)
2022-11-23T01:32:31.7632801Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.7632888Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.7632967Z     tmp4 = tmp1 + tmp3
2022-11-23T01:32:31.7633038Z     tmp5 = 2
2022-11-23T01:32:31.7633116Z     tmp6 = tmp4 / tmp5
2022-11-23T01:32:31.7633202Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:31.7633340Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.7633419Z ''')
2022-11-23T01:32:31.7633425Z 
2022-11-23T01:32:31.7633429Z 
2022-11-23T01:32:31.7633522Z async_compile.wait(globals())
2022-11-23T01:32:31.7633600Z del async_compile
2022-11-23T01:32:31.7633639Z 
2022-11-23T01:32:31.7633733Z def call(args):
2022-11-23T01:32:31.7633807Z     arg0_1, = args
2022-11-23T01:32:31.7633882Z     args.clear()
2022-11-23T01:32:31.7634071Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7634155Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7634295Z     triton_fused_mean0.run(arg0_1, buf2, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7634501Z     buf3 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7634643Z     triton_fused_mean_11.run(arg0_1, buf3, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.7634855Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7634992Z     triton_fused_mean_22.run(arg0_1, buf4, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.7635190Z     buf5 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7635325Z     triton_fused_mean_33.run(arg0_1, buf5, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.7635393Z     del arg0_1
2022-11-23T01:32:31.7635488Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T01:32:31.7635494Z 
2022-11-23T01:32:31.7635499Z 
2022-11-23T01:32:31.7635581Z if __name__ == "__main__":
2022-11-23T01:32:31.7635699Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7635829Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7636042Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7636154Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7636159Z 
2022-11-23T01:32:31.7636233Z ok (0.539s)
2022-11-23T01:32:31.7636551Z   test_min_max_reduction_cuda (__main__.CudaTests) ... [2022-11-23 01:30:04,257] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7636872Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7637099Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7637358Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7637640Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7637962Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7638308Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7638630Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7639006Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851> 
2022-11-23T01:32:31.7639102Z  852           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7639193Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7639272Z               4 BINARY_ADD
2022-11-23T01:32:31.7639372Z               6 LOAD_METHOD              0 (max)
2022-11-23T01:32:31.7639465Z               8 CALL_METHOD              0
2022-11-23T01:32:31.7639560Z              10 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7639654Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7639732Z              14 BINARY_ADD
2022-11-23T01:32:31.7639825Z              16 LOAD_METHOD              1 (min)
2022-11-23T01:32:31.7639918Z              18 CALL_METHOD              0
2022-11-23T01:32:31.7640042Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.7640141Z              22 LOAD_ATTR                3 (amax)
2022-11-23T01:32:31.7640255Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7640350Z              26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7640428Z              28 BINARY_ADD
2022-11-23T01:32:31.7640525Z              30 LOAD_CONST               2 (True)
2022-11-23T01:32:31.7640677Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:31.7640772Z              34 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.7640864Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.7640946Z              38 RETURN_VALUE
2022-11-23T01:32:31.7641011Z  
2022-11-23T01:32:31.7641017Z 
2022-11-23T01:32:31.7641337Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852
2022-11-23T01:32:31.7641554Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.7641792Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.7642072Z [2022-11-23 01:30:04,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7642317Z [2022-11-23 01:30:04,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:31.7642602Z [2022-11-23 01:30:04,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.7642840Z [2022-11-23 01:30:04,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.7643108Z [2022-11-23 01:30:04,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7643412Z [2022-11-23 01:30:04,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7643683Z [2022-11-23 01:30:04,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7643994Z [2022-11-23 01:30:04,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.7644271Z [2022-11-23 01:30:04,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7644686Z [2022-11-23 01:30:04,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7645062Z [2022-11-23 01:30:04,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7645466Z [2022-11-23 01:30:04,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7645913Z [2022-11-23 01:30:04,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7646319Z [2022-11-23 01:30:04,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7646772Z [2022-11-23 01:30:04,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7647291Z [2022-11-23 01:30:04,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.7647602Z [2022-11-23 01:30:04,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7647852Z [2022-11-23 01:30:04,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7648223Z [2022-11-23 01:30:04,264] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851>
2022-11-23T01:32:31.7648469Z [2022-11-23 01:30:04,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7648707Z [2022-11-23 01:30:04,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7648963Z [2022-11-23 01:30:04,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7649215Z [2022-11-23 01:30:04,270] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7649403Z [2022-11-23 01:30:04,270] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7649546Z  __compiled_fn_622 <eval_with_key>.3851 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7649644Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7649737Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7649921Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.7650016Z call_method, max_1, max, (add,), {}
2022-11-23T01:32:31.7650202Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.7650293Z call_method, min_1, min, (add_1,), {}
2022-11-23T01:32:31.7650477Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.7650733Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add_2,), {'keepdim': True}
2022-11-23T01:32:31.7650855Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T01:32:31.7650861Z 
2022-11-23T01:32:31.7651192Z [2022-11-23 01:30:04,270] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7651293Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7651390Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7651483Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7651576Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7651666Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7651760Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7651841Z              12 RETURN_VALUE
2022-11-23T01:32:31.7651847Z 
2022-11-23T01:32:31.7651916Z  
2022-11-23T01:32:31.7652240Z [2022-11-23 01:30:04,270] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7652361Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_622)
2022-11-23T01:32:31.7652457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7652547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7652633Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7652726Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7652820Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7652902Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7652995Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.7653106Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7653209Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7653331Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7653415Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7653545Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7653638Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7653719Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.7653826Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7653913Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7653994Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.7654087Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.7654168Z              38 RETURN_VALUE
2022-11-23T01:32:31.7654173Z 
2022-11-23T01:32:31.7654240Z  
2022-11-23T01:32:31.7654431Z [2022-11-23 01:30:04,271] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7654507Z  - 
2022-11-23T01:32:31.7654625Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7654693Z             {
2022-11-23T01:32:31.7654843Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7655036Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.7655166Z                 'obj_weakref': None
2022-11-23T01:32:31.7655394Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7655464Z             }
2022-11-23T01:32:31.7655533Z             
2022-11-23T01:32:31.7655602Z  - 
2022-11-23T01:32:31.7655731Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7655802Z             {
2022-11-23T01:32:31.7655951Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7656061Z                 'code': None,
2022-11-23T01:32:31.7656280Z                 'obj_weakref': <weakref at 0x7f1fd8179c10; to 'Tensor' at 0x7f1ffade76a0>
2022-11-23T01:32:31.7656530Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7656593Z             }
2022-11-23T01:32:31.7656662Z             
2022-11-23T01:32:31.7656741Z  - 
2022-11-23T01:32:31.7656871Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7656940Z             {
2022-11-23T01:32:31.7657085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7657189Z                 'code': None,
2022-11-23T01:32:31.7657403Z                 'obj_weakref': <weakref at 0x7f1fd816a070; to 'Tensor' at 0x7f1ffade5580>
2022-11-23T01:32:31.7657651Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7657722Z             }
2022-11-23T01:32:31.7657790Z             
2022-11-23T01:32:31.7657865Z  - 
2022-11-23T01:32:31.7658000Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7658062Z             {
2022-11-23T01:32:31.7658203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7658379Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7658503Z                 'obj_weakref': None
2022-11-23T01:32:31.7658738Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7658926Z             }
2022-11-23T01:32:31.7658996Z             
2022-11-23T01:32:31.7659066Z  - 
2022-11-23T01:32:31.7659196Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7659265Z             {
2022-11-23T01:32:31.7659406Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7659625Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7659748Z                 'obj_weakref': None
2022-11-23T01:32:31.7659974Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7660042Z             }
2022-11-23T01:32:31.7660103Z             
2022-11-23T01:32:31.7660178Z  - 
2022-11-23T01:32:31.7660316Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7660386Z             {
2022-11-23T01:32:31.7660555Z                 'guard_types': None,
2022-11-23T01:32:31.7660670Z                 'code': None,
2022-11-23T01:32:31.7660814Z                 'obj_weakref': None
2022-11-23T01:32:31.7660940Z                 'guarded_class': None
2022-11-23T01:32:31.7661010Z             }
2022-11-23T01:32:31.7661078Z             
2022-11-23T01:32:31.7661342Z [2022-11-23 01:30:04,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 605
2022-11-23T01:32:31.7661678Z [2022-11-23 01:30:04,288] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.7662039Z [2022-11-23 01:30:04,370] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qc/cqc4rn4fbc7l7ek3qsnrtcb2m3yh72yl73jafqedopjzadyhzxs3.py
2022-11-23T01:32:31.7662302Z [2022-11-23 01:30:04,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 605
2022-11-23T01:32:31.7662535Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7662853Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7663073Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7663330Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7663606Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7663925Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7664270Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7664587Z [2022-11-23 01:30:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7664958Z [2022-11-23 01:30:04,375] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851> 
2022-11-23T01:32:31.7665055Z  852           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7665146Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7665230Z               4 BINARY_ADD
2022-11-23T01:32:31.7665333Z               6 LOAD_METHOD              0 (max)
2022-11-23T01:32:31.7665428Z               8 CALL_METHOD              0
2022-11-23T01:32:31.7665524Z              10 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7665619Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7665698Z              14 BINARY_ADD
2022-11-23T01:32:31.7665792Z              16 LOAD_METHOD              1 (min)
2022-11-23T01:32:31.7665889Z              18 CALL_METHOD              0
2022-11-23T01:32:31.7665989Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:31.7666084Z              22 LOAD_ATTR                3 (amax)
2022-11-23T01:32:31.7666180Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7666273Z              26 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7666351Z              28 BINARY_ADD
2022-11-23T01:32:31.7666450Z              30 LOAD_CONST               2 (True)
2022-11-23T01:32:31.7666599Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:31.7666698Z              34 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.7666791Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.7666872Z              38 RETURN_VALUE
2022-11-23T01:32:31.7666938Z  
2022-11-23T01:32:31.7666944Z 
2022-11-23T01:32:31.7667285Z [2022-11-23 01:30:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852
2022-11-23T01:32:31.7667563Z [2022-11-23 01:30:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.7667802Z [2022-11-23 01:30:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:31.7668067Z [2022-11-23 01:30:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7668310Z [2022-11-23 01:30:04,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:31.7668589Z [2022-11-23 01:30:04,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.7668823Z [2022-11-23 01:30:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.7669088Z [2022-11-23 01:30:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7669387Z [2022-11-23 01:30:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7669661Z [2022-11-23 01:30:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7669963Z [2022-11-23 01:30:04,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.7670239Z [2022-11-23 01:30:04,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7670778Z [2022-11-23 01:30:04,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7671173Z [2022-11-23 01:30:04,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7671579Z [2022-11-23 01:30:04,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7672021Z [2022-11-23 01:30:04,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7672419Z [2022-11-23 01:30:04,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7672870Z [2022-11-23 01:30:04,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:31.7673347Z [2022-11-23 01:30:04,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.7673641Z [2022-11-23 01:30:04,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7673886Z [2022-11-23 01:30:04,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7674257Z [2022-11-23 01:30:04,381] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f424a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851>
2022-11-23T01:32:31.7674531Z [2022-11-23 01:30:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7674789Z [2022-11-23 01:30:04,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7675048Z [2022-11-23 01:30:04,382] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7675303Z [2022-11-23 01:30:04,386] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7675490Z [2022-11-23 01:30:04,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7675633Z  __compiled_fn_623 <eval_with_key>.3857 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7675727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7675818Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7676001Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.7676096Z call_method, max_1, max, (add,), {}
2022-11-23T01:32:31.7676287Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.7676378Z call_method, min_1, min, (add_1,), {}
2022-11-23T01:32:31.7676557Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.7676810Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add_2,), {'keepdim': True}
2022-11-23T01:32:31.7676927Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T01:32:31.7676933Z 
2022-11-23T01:32:31.7677262Z [2022-11-23 01:30:04,387] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7677362Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7677459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7677552Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7677646Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7677736Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7677831Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7677913Z              12 RETURN_VALUE
2022-11-23T01:32:31.7677919Z 
2022-11-23T01:32:31.7677986Z  
2022-11-23T01:32:31.7678306Z [2022-11-23 01:30:04,387] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7678424Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_623)
2022-11-23T01:32:31.7678521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7678612Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7678695Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7678789Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7678886Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7678966Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7679061Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.7679176Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7679280Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7679379Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7679460Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7679570Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7679663Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7679746Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.7679853Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7679941Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.7680021Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.7680116Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.7680196Z              38 RETURN_VALUE
2022-11-23T01:32:31.7680201Z 
2022-11-23T01:32:31.7680265Z  
2022-11-23T01:32:31.7680455Z [2022-11-23 01:30:04,388] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7680532Z  - 
2022-11-23T01:32:31.7680678Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7680771Z             {
2022-11-23T01:32:31.7680920Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7681113Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.7681239Z                 'obj_weakref': None
2022-11-23T01:32:31.7681466Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7681535Z             }
2022-11-23T01:32:31.7681602Z             
2022-11-23T01:32:31.7681671Z  - 
2022-11-23T01:32:31.7681800Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7681870Z             {
2022-11-23T01:32:31.7682017Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7682130Z                 'code': None,
2022-11-23T01:32:31.7682348Z                 'obj_weakref': <weakref at 0x7f1ffad5f2e0; to 'Tensor' at 0x7f1ffad8c900>
2022-11-23T01:32:31.7682604Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7682668Z             }
2022-11-23T01:32:31.7682735Z             
2022-11-23T01:32:31.7682810Z  - 
2022-11-23T01:32:31.7682935Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7683004Z             {
2022-11-23T01:32:31.7683149Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7683253Z                 'code': None,
2022-11-23T01:32:31.7683468Z                 'obj_weakref': <weakref at 0x7f1ffad5f100; to 'Tensor' at 0x7f1ffad8d8f0>
2022-11-23T01:32:31.7683716Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7683785Z             }
2022-11-23T01:32:31.7683853Z             
2022-11-23T01:32:31.7683929Z  - 
2022-11-23T01:32:31.7684065Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7684127Z             {
2022-11-23T01:32:31.7684269Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7684447Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7684574Z                 'obj_weakref': None
2022-11-23T01:32:31.7684808Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7684877Z             }
2022-11-23T01:32:31.7684945Z             
2022-11-23T01:32:31.7685013Z  - 
2022-11-23T01:32:31.7685141Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7685210Z             {
2022-11-23T01:32:31.7685352Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7685574Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7685698Z                 'obj_weakref': None
2022-11-23T01:32:31.7685924Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7685994Z             }
2022-11-23T01:32:31.7686055Z             
2022-11-23T01:32:31.7686131Z  - 
2022-11-23T01:32:31.7686271Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7686344Z             {
2022-11-23T01:32:31.7686469Z                 'guard_types': None,
2022-11-23T01:32:31.7686583Z                 'code': None,
2022-11-23T01:32:31.7686698Z                 'obj_weakref': None
2022-11-23T01:32:31.7686825Z                 'guarded_class': None
2022-11-23T01:32:31.7686895Z             }
2022-11-23T01:32:31.7686964Z             
2022-11-23T01:32:31.7687230Z [2022-11-23 01:30:04,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 606
2022-11-23T01:32:31.7687568Z [2022-11-23 01:30:04,404] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.7687937Z [2022-11-23 01:30:04,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r4/cr4fhbyxyqysyhkndqpqvk3qfu2d6lxll2vpfjqzw3wwvsbxzqrm.py
2022-11-23T01:32:31.7688235Z [2022-11-23 01:30:04,492] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 606
2022-11-23T01:32:31.7688260Z 
2022-11-23T01:32:31.7688362Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7688430Z import torch
2022-11-23T01:32:31.7688505Z import random
2022-11-23T01:32:31.7688628Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7688754Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7688759Z 
2022-11-23T01:32:31.7688843Z aten = torch.ops.aten
2022-11-23T01:32:31.7688985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7689084Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7689089Z 
2022-11-23T01:32:31.7689157Z import triton
2022-11-23T01:32:31.7689251Z import triton.language as tl
2022-11-23T01:32:31.7689380Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7689524Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7689529Z 
2022-11-23T01:32:31.7689536Z 
2022-11-23T01:32:31.7689740Z triton_fused_add_add_1_amax_max_1_add_2_min_10 = async_compile.triton('''
2022-11-23T01:32:31.7689819Z import triton
2022-11-23T01:32:31.7689911Z import triton.language as tl
2022-11-23T01:32:31.7690026Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7690123Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7690258Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7690387Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7690392Z 
2022-11-23T01:32:31.7690483Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:31.7690600Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7690684Z               filename=__file__,
2022-11-23T01:32:31.7691059Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 6), equal_to_1=())]})
2022-11-23T01:32:31.7691136Z @triton.jit
2022-11-23T01:32:31.7691329Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7691403Z     xnumel = 1
2022-11-23T01:32:31.7691480Z     rnumel = 64
2022-11-23T01:32:31.7691578Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7691717Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7691802Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7691925Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7692106Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.7692234Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.7692416Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.7692525Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7692616Z         rindex = roffset + rbase
2022-11-23T01:32:31.7692707Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7692783Z         r0 = rindex
2022-11-23T01:32:31.7692975Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7693174Z         tmp1 = tl.load(in_ptr1 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7693258Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7693390Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp2), tmp2, _tmp3)
2022-11-23T01:32:31.7693516Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 > tmp2), tmp2, _tmp4)
2022-11-23T01:32:31.7700846Z         tmp5 = 1
2022-11-23T01:32:31.7700948Z         tmp6 = tmp0 + tmp5
2022-11-23T01:32:31.7701084Z         _tmp7 = tl.where(xmask & rmask & (_tmp7 < tmp6), tmp6, _tmp7)
2022-11-23T01:32:31.7701197Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7701335Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.7701452Z     tmp4 = tl.reshape(tl.min(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7701663Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.7701813Z     tmp7 = tl.reshape(tl.max(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7701946Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp7, None)
2022-11-23T01:32:31.7702059Z ''')
2022-11-23T01:32:31.7702066Z 
2022-11-23T01:32:31.7702070Z 
2022-11-23T01:32:31.7702168Z async_compile.wait(globals())
2022-11-23T01:32:31.7702240Z del async_compile
2022-11-23T01:32:31.7702245Z 
2022-11-23T01:32:31.7702320Z def call(args):
2022-11-23T01:32:31.7702404Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.7702500Z     args.clear()
2022-11-23T01:32:31.7702760Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7702990Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7703191Z     buf2 = empty_strided((1, 1), (1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7703278Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7703464Z     triton_fused_add_add_1_amax_max_1_add_2_min_10.run(arg0_1, arg1_1, buf0, buf1, buf2, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7703540Z     del arg0_1
2022-11-23T01:32:31.7703613Z     del arg1_1
2022-11-23T01:32:31.7703702Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.7703707Z 
2022-11-23T01:32:31.7703712Z 
2022-11-23T01:32:31.7703793Z if __name__ == "__main__":
2022-11-23T01:32:31.7703914Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7704047Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7704240Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7704437Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7704560Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.7704566Z 
2022-11-23T01:32:31.7704570Z 
2022-11-23T01:32:31.7704683Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7704761Z import torch
2022-11-23T01:32:31.7704837Z import random
2022-11-23T01:32:31.7704962Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7705088Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7705093Z 
2022-11-23T01:32:31.7705178Z aten = torch.ops.aten
2022-11-23T01:32:31.7705311Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7705407Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7705412Z 
2022-11-23T01:32:31.7705487Z import triton
2022-11-23T01:32:31.7705581Z import triton.language as tl
2022-11-23T01:32:31.7705709Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7705848Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7705853Z 
2022-11-23T01:32:31.7705857Z 
2022-11-23T01:32:31.7706062Z triton_fused_add_add_1_min_1_max_1_amax_add_20 = async_compile.triton('''
2022-11-23T01:32:31.7706137Z import triton
2022-11-23T01:32:31.7706226Z import triton.language as tl
2022-11-23T01:32:31.7706343Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7706449Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7706584Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7706714Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7706719Z 
2022-11-23T01:32:31.7706810Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:31.7706927Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7707007Z               filename=__file__,
2022-11-23T01:32:31.7707381Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 6), equal_to_1=())]})
2022-11-23T01:32:31.7707456Z @triton.jit
2022-11-23T01:32:31.7707653Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7707782Z     xnumel = 1
2022-11-23T01:32:31.7707878Z     rnumel = 64
2022-11-23T01:32:31.7708005Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7708150Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7708236Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7708351Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7708540Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.7708671Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.7708852Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.7708960Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7709053Z         rindex = roffset + rbase
2022-11-23T01:32:31.7709140Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7709206Z         r0 = rindex
2022-11-23T01:32:31.7709431Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.7709649Z         tmp1 = tl.load(in_ptr1 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.7709736Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7709927Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp2), tmp2, _tmp3)
2022-11-23T01:32:31.7710054Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 > tmp2), tmp2, _tmp4)
2022-11-23T01:32:31.7710127Z         tmp5 = 1
2022-11-23T01:32:31.7710210Z         tmp6 = tmp0 + tmp5
2022-11-23T01:32:31.7710425Z         _tmp7 = tl.where(xmask & rmask & (_tmp7 < tmp6), tmp6, _tmp7)
2022-11-23T01:32:31.7710566Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7710713Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.7710831Z     tmp4 = tl.reshape(tl.min(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7710968Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.7711089Z     tmp7 = tl.reshape(tl.max(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7711223Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp7, None)
2022-11-23T01:32:31.7711310Z ''')
2022-11-23T01:32:31.7711328Z 
2022-11-23T01:32:31.7711333Z 
2022-11-23T01:32:31.7711421Z async_compile.wait(globals())
2022-11-23T01:32:31.7711502Z del async_compile
2022-11-23T01:32:31.7711507Z 
2022-11-23T01:32:31.7711582Z def call(args):
2022-11-23T01:32:31.7711662Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.7711739Z     args.clear()
2022-11-23T01:32:31.7711928Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7712111Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7712300Z     buf2 = empty_strided((1, 1), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7712392Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7712578Z     triton_fused_add_add_1_min_1_max_1_amax_add_20.run(arg0_1, arg1_1, buf0, buf1, buf2, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7712655Z     del arg0_1
2022-11-23T01:32:31.7712731Z     del arg1_1
2022-11-23T01:32:31.7712819Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.7712824Z 
2022-11-23T01:32:31.7712829Z 
2022-11-23T01:32:31.7712910Z if __name__ == "__main__":
2022-11-23T01:32:31.7713030Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7713154Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7713354Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7713550Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7713673Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.7713678Z 
2022-11-23T01:32:31.7713750Z ok (0.239s)
2022-11-23T01:32:31.7714093Z   test_misaligned_address_issue1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7714458Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7714708Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7714960Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7715243Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7715565Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7715916Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7716244Z [2022-11-23 01:30:04,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7716630Z [2022-11-23 01:30:04,498] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452> 
2022-11-23T01:32:31.7716735Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7716836Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.7716935Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.7717036Z                6 LOAD_ATTR                3 (gather)
2022-11-23T01:32:31.7717131Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.7717137Z 
2022-11-23T01:32:31.7717244Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T01:32:31.7717344Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7717460Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T01:32:31.7717467Z 
2022-11-23T01:32:31.7717563Z 4453          16 CALL_METHOD              3
2022-11-23T01:32:31.7717679Z               18 STORE_FAST               2 (gather_default)
2022-11-23T01:32:31.7717684Z 
2022-11-23T01:32:31.7717795Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T01:32:31.7717877Z               22 RETURN_VALUE
2022-11-23T01:32:31.7717938Z  
2022-11-23T01:32:31.7717943Z 
2022-11-23T01:32:31.7718262Z [2022-11-23 01:30:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:31.7718485Z [2022-11-23 01:30:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7718853Z [2022-11-23 01:30:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7719155Z [2022-11-23 01:30:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.7719468Z [2022-11-23 01:30:04,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7719731Z [2022-11-23 01:30:04,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:32:31.7720043Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454
2022-11-23T01:32:31.7720329Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T01:32:31.7720624Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:32:31.7721010Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7721344Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:31.7721709Z [2022-11-23 01:30:04,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.7721970Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T01:32:31.7722277Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456
2022-11-23T01:32:31.7722512Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T01:32:31.7722767Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7723155Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452>
2022-11-23T01:32:31.7723405Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7723646Z [2022-11-23 01:30:04,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7723905Z [2022-11-23 01:30:04,507] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7724153Z [2022-11-23 01:30:04,510] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7724353Z [2022-11-23 01:30:04,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7724498Z  __compiled_fn_624 <eval_with_key>.3863 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7724596Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7724689Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7724842Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.7724961Z output, output, output, ((gather_default,),), {}
2022-11-23T01:32:31.7724966Z 
2022-11-23T01:32:31.7725292Z [2022-11-23 01:30:04,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7725387Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7725486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7725581Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7725685Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7725777Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7725872Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7725956Z              12 RETURN_VALUE
2022-11-23T01:32:31.7725964Z 
2022-11-23T01:32:31.7726030Z  
2022-11-23T01:32:31.7726342Z [2022-11-23 01:30:04,510] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7726462Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_624)
2022-11-23T01:32:31.7726559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7726658Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7726741Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7726836Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7726934Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7727008Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7727103Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.7727199Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7727280Z              18 RETURN_VALUE
2022-11-23T01:32:31.7727319Z 
2022-11-23T01:32:31.7727388Z  
2022-11-23T01:32:31.7727600Z [2022-11-23 01:30:04,511] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7727678Z  - 
2022-11-23T01:32:31.7727795Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7727865Z             {
2022-11-23T01:32:31.7728014Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7728206Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.7728332Z                 'obj_weakref': None
2022-11-23T01:32:31.7728558Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7728628Z             }
2022-11-23T01:32:31.7728690Z             
2022-11-23T01:32:31.7728767Z  - 
2022-11-23T01:32:31.7728896Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7728964Z             {
2022-11-23T01:32:31.7729114Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7729225Z                 'code': None,
2022-11-23T01:32:31.7729441Z                 'obj_weakref': <weakref at 0x7f1fd8179300; to 'Tensor' at 0x7f1ffade46d0>
2022-11-23T01:32:31.7729690Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7729759Z             }
2022-11-23T01:32:31.7729827Z             
2022-11-23T01:32:31.7729903Z  - 
2022-11-23T01:32:31.7730035Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7730104Z             {
2022-11-23T01:32:31.7730250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7730354Z                 'code': None,
2022-11-23T01:32:31.7730571Z                 'obj_weakref': <weakref at 0x7f1ffad79490; to 'Tensor' at 0x7f1ffade52b0>
2022-11-23T01:32:31.7730824Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7730894Z             }
2022-11-23T01:32:31.7730962Z             
2022-11-23T01:32:31.7731039Z  - 
2022-11-23T01:32:31.7731180Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7731245Z             {
2022-11-23T01:32:31.7731386Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7731564Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7731688Z                 'obj_weakref': None
2022-11-23T01:32:31.7731922Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7731992Z             }
2022-11-23T01:32:31.7732060Z             
2022-11-23T01:32:31.7732129Z  - 
2022-11-23T01:32:31.7732258Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7732328Z             {
2022-11-23T01:32:31.7732470Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7732693Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7732815Z                 'obj_weakref': None
2022-11-23T01:32:31.7733044Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7733117Z             }
2022-11-23T01:32:31.7733179Z             
2022-11-23T01:32:31.7733254Z  - 
2022-11-23T01:32:31.7733394Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7733464Z             {
2022-11-23T01:32:31.7733591Z                 'guard_types': None,
2022-11-23T01:32:31.7733704Z                 'code': None,
2022-11-23T01:32:31.7733820Z                 'obj_weakref': None
2022-11-23T01:32:31.7733947Z                 'guarded_class': None
2022-11-23T01:32:31.7734015Z             }
2022-11-23T01:32:31.7734083Z             
2022-11-23T01:32:31.7734350Z [2022-11-23 01:30:04,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 607
2022-11-23T01:32:31.7734605Z [2022-11-23 01:30:04,520] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7735007Z [2022-11-23 01:30:04,682] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5t/c5tjtnvwm3ywdzfodmnifftcmydu2he3cpmxrahqf72b2sg7qlek.py
2022-11-23T01:32:31.7735299Z [2022-11-23 01:30:04,682] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 607
2022-11-23T01:32:31.7735534Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7735853Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7736076Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7736336Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7736617Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7736948Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7737297Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7737621Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7738002Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452> 
2022-11-23T01:32:31.7738106Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7738199Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:31.7738299Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:31.7738401Z                6 LOAD_ATTR                3 (gather)
2022-11-23T01:32:31.7738506Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:31.7738514Z 
2022-11-23T01:32:31.7738624Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T01:32:31.7738728Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7738973Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T01:32:31.7738980Z 
2022-11-23T01:32:31.7739077Z 4453          16 CALL_METHOD              3
2022-11-23T01:32:31.7739185Z               18 STORE_FAST               2 (gather_default)
2022-11-23T01:32:31.7739197Z 
2022-11-23T01:32:31.7739302Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T01:32:31.7739384Z               22 RETURN_VALUE
2022-11-23T01:32:31.7739451Z  
2022-11-23T01:32:31.7739456Z 
2022-11-23T01:32:31.7739771Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:31.7739999Z [2022-11-23 01:30:04,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7740371Z [2022-11-23 01:30:04,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7740672Z [2022-11-23 01:30:04,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:31.7740985Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7741253Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:32:31.7741563Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454
2022-11-23T01:32:31.7741901Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T01:32:31.7742233Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:32:31.7742597Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7742914Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:32:31.7743279Z [2022-11-23 01:30:04,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.7743547Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T01:32:31.7743862Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456
2022-11-23T01:32:31.7744102Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T01:32:31.7744354Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7744733Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e68500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452>
2022-11-23T01:32:31.7744985Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7745227Z [2022-11-23 01:30:04,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7745491Z [2022-11-23 01:30:04,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7745749Z [2022-11-23 01:30:04,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7745945Z [2022-11-23 01:30:04,697] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7746086Z  __compiled_fn_625 <eval_with_key>.3869 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7746182Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7746277Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7746419Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:31.7746572Z output, output, output, ((gather_default,),), {}
2022-11-23T01:32:31.7746580Z 
2022-11-23T01:32:31.7746973Z [2022-11-23 01:30:04,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7747084Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7747183Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7747279Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7747381Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7747473Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7747561Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7747644Z              12 RETURN_VALUE
2022-11-23T01:32:31.7747649Z 
2022-11-23T01:32:31.7747715Z  
2022-11-23T01:32:31.7748040Z [2022-11-23 01:30:04,698] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7748158Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_625)
2022-11-23T01:32:31.7748254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7748355Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7748438Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7748561Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7748677Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7748758Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7748854Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.7748951Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7749032Z              18 RETURN_VALUE
2022-11-23T01:32:31.7749038Z 
2022-11-23T01:32:31.7749103Z  
2022-11-23T01:32:31.7749285Z [2022-11-23 01:30:04,699] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7749361Z  - 
2022-11-23T01:32:31.7749484Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7749553Z             {
2022-11-23T01:32:31.7749698Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7749892Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.7750016Z                 'obj_weakref': None
2022-11-23T01:32:31.7750241Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7750401Z             }
2022-11-23T01:32:31.7750483Z             
2022-11-23T01:32:31.7750574Z  - 
2022-11-23T01:32:31.7750720Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7750790Z             {
2022-11-23T01:32:31.7750938Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7751044Z                 'code': None,
2022-11-23T01:32:31.7751262Z                 'obj_weakref': <weakref at 0x7f1ffad79e40; to 'Tensor' at 0x7f211599c5e0>
2022-11-23T01:32:31.7751520Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7751590Z             }
2022-11-23T01:32:31.7751659Z             
2022-11-23T01:32:31.7751734Z  - 
2022-11-23T01:32:31.7751862Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7751924Z             {
2022-11-23T01:32:31.7752073Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7752188Z                 'code': None,
2022-11-23T01:32:31.7752404Z                 'obj_weakref': <weakref at 0x7f1ffad79490; to 'Tensor' at 0x7f1ffade52b0>
2022-11-23T01:32:31.7752661Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7752730Z             }
2022-11-23T01:32:31.7752799Z             
2022-11-23T01:32:31.7752867Z  - 
2022-11-23T01:32:31.7753002Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7753071Z             {
2022-11-23T01:32:31.7753212Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7753389Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7753515Z                 'obj_weakref': None
2022-11-23T01:32:31.7753747Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7753810Z             }
2022-11-23T01:32:31.7753878Z             
2022-11-23T01:32:31.7753953Z  - 
2022-11-23T01:32:31.7754082Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7754154Z             {
2022-11-23T01:32:31.7754296Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7754512Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7754628Z                 'obj_weakref': None
2022-11-23T01:32:31.7754851Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7754923Z             }
2022-11-23T01:32:31.7754995Z             
2022-11-23T01:32:31.7755070Z  - 
2022-11-23T01:32:31.7755212Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7755281Z             {
2022-11-23T01:32:31.7755399Z                 'guard_types': None,
2022-11-23T01:32:31.7755510Z                 'code': None,
2022-11-23T01:32:31.7755633Z                 'obj_weakref': None
2022-11-23T01:32:31.7755758Z                 'guarded_class': None
2022-11-23T01:32:31.7755828Z             }
2022-11-23T01:32:31.7755931Z             
2022-11-23T01:32:31.7756195Z [2022-11-23 01:30:04,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 608
2022-11-23T01:32:31.7756462Z [2022-11-23 01:30:04,705] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7756823Z [2022-11-23 01:30:04,766] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctcttz347dnavs3pfi655a4uhhmkpqh7hmwnssghhe63q5iawlpe.py
2022-11-23T01:32:31.7757090Z [2022-11-23 01:30:04,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 608
2022-11-23T01:32:31.7757096Z 
2022-11-23T01:32:31.7757197Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7757272Z import torch
2022-11-23T01:32:31.7757347Z import random
2022-11-23T01:32:31.7757469Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7757596Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7757602Z 
2022-11-23T01:32:31.7757687Z aten = torch.ops.aten
2022-11-23T01:32:31.7757821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7757922Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7757927Z 
2022-11-23T01:32:31.7758005Z import triton
2022-11-23T01:32:31.7758099Z import triton.language as tl
2022-11-23T01:32:31.7758226Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7758370Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7758375Z 
2022-11-23T01:32:31.7758380Z 
2022-11-23T01:32:31.7758541Z triton_fused_gather0 = async_compile.triton('''
2022-11-23T01:32:31.7758609Z import triton
2022-11-23T01:32:31.7758703Z import triton.language as tl
2022-11-23T01:32:31.7758819Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7758922Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7759060Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7759194Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7759199Z 
2022-11-23T01:32:31.7759584Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7759658Z @triton.jit
2022-11-23T01:32:31.7759796Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7759870Z     xnumel = 1
2022-11-23T01:32:31.7759968Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7760102Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7760186Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7760324Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.7760464Z     tmp1 = tl.load(in_ptr1 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.7760599Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp1, None)
2022-11-23T01:32:31.7760682Z ''')
2022-11-23T01:32:31.7760688Z 
2022-11-23T01:32:31.7760695Z 
2022-11-23T01:32:31.7760792Z async_compile.wait(globals())
2022-11-23T01:32:31.7760869Z del async_compile
2022-11-23T01:32:31.7760875Z 
2022-11-23T01:32:31.7760952Z def call(args):
2022-11-23T01:32:31.7761034Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.7761110Z     args.clear()
2022-11-23T01:32:31.7761311Z     buf0 = empty_strided((1, 1), (1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7761396Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7761547Z     triton_fused_gather0.run(arg1_1, arg0_1, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7761622Z     del arg0_1
2022-11-23T01:32:31.7761695Z     del arg1_1
2022-11-23T01:32:31.7761775Z     return (buf0, )
2022-11-23T01:32:31.7761780Z 
2022-11-23T01:32:31.7761785Z 
2022-11-23T01:32:31.7761867Z if __name__ == "__main__":
2022-11-23T01:32:31.7761988Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7762148Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7762351Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7762569Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7762690Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.7762696Z 
2022-11-23T01:32:31.7762700Z 
2022-11-23T01:32:31.7762799Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7762873Z import torch
2022-11-23T01:32:31.7762949Z import random
2022-11-23T01:32:31.7763071Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7763200Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7763205Z 
2022-11-23T01:32:31.7763282Z aten = torch.ops.aten
2022-11-23T01:32:31.7763423Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7763523Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7763528Z 
2022-11-23T01:32:31.7763602Z import triton
2022-11-23T01:32:31.7763698Z import triton.language as tl
2022-11-23T01:32:31.7763831Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7763980Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7763985Z 
2022-11-23T01:32:31.7763990Z 
2022-11-23T01:32:31.7764150Z triton_fused_gather0 = async_compile.triton('''
2022-11-23T01:32:31.7764219Z import triton
2022-11-23T01:32:31.7764312Z import triton.language as tl
2022-11-23T01:32:31.7764429Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7764534Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7764672Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7764800Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7764805Z 
2022-11-23T01:32:31.7765191Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7765267Z @triton.jit
2022-11-23T01:32:31.7765407Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7765481Z     xnumel = 1
2022-11-23T01:32:31.7765579Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7765713Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7765800Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7765934Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.7766089Z     tmp1 = tl.load(in_ptr1 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.7766218Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp1, None)
2022-11-23T01:32:31.7766303Z ''')
2022-11-23T01:32:31.7766309Z 
2022-11-23T01:32:31.7766314Z 
2022-11-23T01:32:31.7766409Z async_compile.wait(globals())
2022-11-23T01:32:31.7766488Z del async_compile
2022-11-23T01:32:31.7766493Z 
2022-11-23T01:32:31.7766568Z def call(args):
2022-11-23T01:32:31.7766653Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.7766732Z     args.clear()
2022-11-23T01:32:31.7766931Z     buf0 = empty_strided((1, 1), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7767016Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7767165Z     triton_fused_gather0.run(arg1_1, arg0_1, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7767238Z     del arg0_1
2022-11-23T01:32:31.7767312Z     del arg1_1
2022-11-23T01:32:31.7767388Z     return (buf0, )
2022-11-23T01:32:31.7767394Z 
2022-11-23T01:32:31.7767398Z 
2022-11-23T01:32:31.7767480Z if __name__ == "__main__":
2022-11-23T01:32:31.7767604Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7767726Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7767934Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7768131Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.7768281Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.7768317Z 
2022-11-23T01:32:31.7768389Z ok (0.274s)
2022-11-23T01:32:31.7768703Z   test_mm_views_cuda (__main__.CudaTests) ... [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7769018Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7769240Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7769496Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7769767Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7770087Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7770429Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7770747Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7771119Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125> 
2022-11-23T01:32:31.7771224Z  4126           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7771325Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:31.7771423Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7771524Z                6 LOAD_METHOD              2 (view)
2022-11-23T01:32:31.7771617Z                8 LOAD_CONST               1 (32)
2022-11-23T01:32:31.7771719Z               10 LOAD_CONST               1 (32)
2022-11-23T01:32:31.7771815Z               12 CALL_METHOD              2
2022-11-23T01:32:31.7771912Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.7772011Z               16 LOAD_METHOD              2 (view)
2022-11-23T01:32:31.7772107Z               18 LOAD_CONST               1 (32)
2022-11-23T01:32:31.7772202Z               20 LOAD_CONST               1 (32)
2022-11-23T01:32:31.7772290Z               22 CALL_METHOD              2
2022-11-23T01:32:31.7772384Z               24 CALL_METHOD              2
2022-11-23T01:32:31.7772467Z               26 RETURN_VALUE
2022-11-23T01:32:31.7772535Z  
2022-11-23T01:32:31.7772540Z 
2022-11-23T01:32:31.7772853Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4126
2022-11-23T01:32:31.7773078Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7773440Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7773754Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7774097Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7774473Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:31.7774903Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:31.7775370Z [2022-11-23 01:30:04,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7775707Z [2022-11-23 01:30:04,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7776073Z [2022-11-23 01:30:04,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7776475Z [2022-11-23 01:30:04,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:31.7776909Z [2022-11-23 01:30:04,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:31.7777471Z [2022-11-23 01:30:04,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7777845Z [2022-11-23 01:30:04,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7778095Z [2022-11-23 01:30:04,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7778475Z [2022-11-23 01:30:04,775] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125>
2022-11-23T01:32:31.7778725Z [2022-11-23 01:30:04,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7779082Z [2022-11-23 01:30:04,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7779343Z [2022-11-23 01:30:04,776] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7779586Z [2022-11-23 01:30:04,779] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7779783Z [2022-11-23 01:30:04,779] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7779926Z  __compiled_fn_626 <eval_with_key>.3875 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7780022Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7780117Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.7780220Z call_method, view, view, (ex_0_, 32, 32), {}
2022-11-23T01:32:31.7780326Z call_method, view_1, view, (ex_1_, 32, 32), {}
2022-11-23T01:32:31.7780559Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (view, view_1), {}
2022-11-23T01:32:31.7780652Z output, output, output, ((mm,),), {}
2022-11-23T01:32:31.7780657Z 
2022-11-23T01:32:31.7780984Z [2022-11-23 01:30:04,779] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7781086Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7781182Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7781275Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7781373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7781463Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7781558Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7781710Z              12 RETURN_VALUE
2022-11-23T01:32:31.7781738Z 
2022-11-23T01:32:31.7781807Z  
2022-11-23T01:32:31.7782134Z [2022-11-23 01:30:04,779] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7782253Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_626)
2022-11-23T01:32:31.7782352Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7782449Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7782532Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7782619Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7782714Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7782793Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.7782886Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.7782982Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7783063Z              18 RETURN_VALUE
2022-11-23T01:32:31.7783070Z 
2022-11-23T01:32:31.7783138Z  
2022-11-23T01:32:31.7783329Z [2022-11-23 01:30:04,780] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7783397Z  - 
2022-11-23T01:32:31.7783521Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7783591Z             {
2022-11-23T01:32:31.7783740Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7783932Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.7784057Z                 'obj_weakref': None
2022-11-23T01:32:31.7784284Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7784347Z             }
2022-11-23T01:32:31.7784414Z             
2022-11-23T01:32:31.7784489Z  - 
2022-11-23T01:32:31.7784618Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7784685Z             {
2022-11-23T01:32:31.7784840Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7784947Z                 'code': None,
2022-11-23T01:32:31.7785168Z                 'obj_weakref': <weakref at 0x7f1ffad5c720; to 'Tensor' at 0x7f1ffad9d760>
2022-11-23T01:32:31.7785431Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7785501Z             }
2022-11-23T01:32:31.7785568Z             
2022-11-23T01:32:31.7785644Z  - 
2022-11-23T01:32:31.7785772Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.7785847Z             {
2022-11-23T01:32:31.7785988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7786101Z                 'code': None,
2022-11-23T01:32:31.7786318Z                 'obj_weakref': <weakref at 0x7f1ffad5e2a0; to 'Tensor' at 0x7f201e6f3290>
2022-11-23T01:32:31.7786569Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7786639Z             }
2022-11-23T01:32:31.7786706Z             
2022-11-23T01:32:31.7786786Z  - 
2022-11-23T01:32:31.7786914Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7786984Z             {
2022-11-23T01:32:31.7787122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7787299Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7787424Z                 'obj_weakref': None
2022-11-23T01:32:31.7787660Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7787729Z             }
2022-11-23T01:32:31.7787790Z             
2022-11-23T01:32:31.7787864Z  - 
2022-11-23T01:32:31.7787991Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7788060Z             {
2022-11-23T01:32:31.7788201Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7788422Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7788545Z                 'obj_weakref': None
2022-11-23T01:32:31.7788796Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7788894Z             }
2022-11-23T01:32:31.7788965Z             
2022-11-23T01:32:31.7789041Z  - 
2022-11-23T01:32:31.7789179Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7789248Z             {
2022-11-23T01:32:31.7789372Z                 'guard_types': None,
2022-11-23T01:32:31.7789477Z                 'code': None,
2022-11-23T01:32:31.7789599Z                 'obj_weakref': None
2022-11-23T01:32:31.7789726Z                 'guarded_class': None
2022-11-23T01:32:31.7789792Z             }
2022-11-23T01:32:31.7789861Z             
2022-11-23T01:32:31.7790125Z [2022-11-23 01:30:04,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 609
2022-11-23T01:32:31.7790576Z [2022-11-23 01:30:04,787] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3c/c3cnwp45rlbbcjid3a2jjvo7tqervg7c272ws43vqerjxw4b3zmr.py
2022-11-23T01:32:31.7790844Z [2022-11-23 01:30:04,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 609
2022-11-23T01:32:31.7790859Z 
2022-11-23T01:32:31.7790951Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7791026Z import torch
2022-11-23T01:32:31.7791098Z import random
2022-11-23T01:32:31.7791220Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7791347Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7791352Z 
2022-11-23T01:32:31.7791436Z aten = torch.ops.aten
2022-11-23T01:32:31.7791576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7791666Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7791672Z 
2022-11-23T01:32:31.7791747Z import triton
2022-11-23T01:32:31.7791840Z import triton.language as tl
2022-11-23T01:32:31.7791968Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7792113Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7792118Z 
2022-11-23T01:32:31.7792125Z 
2022-11-23T01:32:31.7792220Z async_compile.wait(globals())
2022-11-23T01:32:31.7792297Z del async_compile
2022-11-23T01:32:31.7792302Z 
2022-11-23T01:32:31.7792378Z def call(args):
2022-11-23T01:32:31.7792452Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.7792528Z     args.clear()
2022-11-23T01:32:31.7792737Z     buf0 = empty_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7792867Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2022-11-23T01:32:31.7792943Z     del arg0_1
2022-11-23T01:32:31.7793015Z     del arg1_1
2022-11-23T01:32:31.7793091Z     return (buf0, )
2022-11-23T01:32:31.7793096Z 
2022-11-23T01:32:31.7793100Z 
2022-11-23T01:32:31.7793174Z if __name__ == "__main__":
2022-11-23T01:32:31.7793295Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7793426Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7793635Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7793852Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7793974Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.7793979Z 
2022-11-23T01:32:31.7794052Z ok (0.021s)
2022-11-23T01:32:31.7794372Z   test_move_arange_cuda (__main__.CudaTests) ... [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7794687Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7794915Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7795173Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7795493Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7795836Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7796187Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7796510Z [2022-11-23 01:30:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7796887Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421> 
2022-11-23T01:32:31.7796990Z  2422           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7797090Z                2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:31.7797184Z                4 LOAD_GLOBAL              2 (len)
2022-11-23T01:32:31.7797284Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7797379Z                8 CALL_FUNCTION            1
2022-11-23T01:32:31.7797527Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:31.7797680Z               12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:31.7797778Z               14 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.7797879Z               16 LOAD_METHOD              3 (to)
2022-11-23T01:32:31.7797967Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7798068Z               20 LOAD_ATTR                4 (device)
2022-11-23T01:32:31.7798161Z               22 CALL_METHOD              1
2022-11-23T01:32:31.7798259Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7798339Z               26 BINARY_ADD
2022-11-23T01:32:31.7798420Z               28 RETURN_VALUE
2022-11-23T01:32:31.7798490Z  
2022-11-23T01:32:31.7798495Z 
2022-11-23T01:32:31.7798817Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2422
2022-11-23T01:32:31.7799037Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7799408Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7799739Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7800094Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), BuiltinVariable(len)]
2022-11-23T01:32:31.7800477Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), BuiltinVariable(len), TensorVariable()]
2022-11-23T01:32:31.7800832Z [2022-11-23 01:30:04,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:31.7801234Z [2022-11-23 01:30:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:31.7801668Z [2022-11-23 01:30:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.7801908Z [2022-11-23 01:30:04,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:31.7802211Z [2022-11-23 01:30:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:31.7802537Z [2022-11-23 01:30:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:31.7802846Z [2022-11-23 01:30:04,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cuda:0)]
2022-11-23T01:32:31.7803076Z [2022-11-23 01:30:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.7803350Z [2022-11-23 01:30:04,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7803600Z [2022-11-23 01:30:04,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7803977Z [2022-11-23 01:30:04,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421>
2022-11-23T01:32:31.7804231Z [2022-11-23 01:30:04,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7804467Z [2022-11-23 01:30:04,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7804722Z [2022-11-23 01:30:04,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7804972Z [2022-11-23 01:30:04,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7805165Z [2022-11-23 01:30:04,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7805308Z  __compiled_fn_627 <eval_with_key>.3881 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7805395Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7805652Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (32,), {'device': 'cpu'}
2022-11-23T01:32:31.7805834Z call_method, to, to, (arange, device(type='cuda', index=0)), {}
2022-11-23T01:32:31.7806014Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:31.7806113Z output, output, output, ((add,),), {}
2022-11-23T01:32:31.7806119Z 
2022-11-23T01:32:31.7806441Z [2022-11-23 01:30:04,801] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7806541Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7806637Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7806725Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7806825Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7806918Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7807012Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7807093Z              12 RETURN_VALUE
2022-11-23T01:32:31.7807098Z 
2022-11-23T01:32:31.7807164Z  
2022-11-23T01:32:31.7807544Z [2022-11-23 01:30:04,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7807674Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_627)
2022-11-23T01:32:31.7807772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7807868Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7807950Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7808043Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7808138Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7808219Z              12 RETURN_VALUE
2022-11-23T01:32:31.7808224Z 
2022-11-23T01:32:31.7808288Z  
2022-11-23T01:32:31.7808472Z [2022-11-23 01:30:04,802] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7808553Z  - 
2022-11-23T01:32:31.7808678Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7808748Z             {
2022-11-23T01:32:31.7808930Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7809145Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7809268Z                 'obj_weakref': None
2022-11-23T01:32:31.7809485Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7809553Z             }
2022-11-23T01:32:31.7809622Z             
2022-11-23T01:32:31.7809700Z  - 
2022-11-23T01:32:31.7809825Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.7809893Z             {
2022-11-23T01:32:31.7810028Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.7810201Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.7810413Z                 'obj_weakref': <weakref at 0x7f1ffad7c720; to 'Tensor' at 0x7f201e6f3290>
2022-11-23T01:32:31.7810667Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7810735Z             }
2022-11-23T01:32:31.7810805Z             
2022-11-23T01:32:31.7810880Z  - 
2022-11-23T01:32:31.7811007Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7811068Z             {
2022-11-23T01:32:31.7811213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7811325Z                 'code': None,
2022-11-23T01:32:31.7811537Z                 'obj_weakref': <weakref at 0x7f1ffad7c720; to 'Tensor' at 0x7f201e6f3290>
2022-11-23T01:32:31.7811785Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7811853Z             }
2022-11-23T01:32:31.7811920Z             
2022-11-23T01:32:31.7811988Z  - 
2022-11-23T01:32:31.7812126Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7812193Z             {
2022-11-23T01:32:31.7812332Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7812510Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7812639Z                 'obj_weakref': None
2022-11-23T01:32:31.7812875Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7812936Z             }
2022-11-23T01:32:31.7813003Z             
2022-11-23T01:32:31.7813077Z  - 
2022-11-23T01:32:31.7813207Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7813275Z             {
2022-11-23T01:32:31.7813415Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7813636Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7813750Z                 'obj_weakref': None
2022-11-23T01:32:31.7813977Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7814046Z             }
2022-11-23T01:32:31.7814114Z             
2022-11-23T01:32:31.7814190Z  - 
2022-11-23T01:32:31.7814326Z             global 'len' BUILTIN_MATCH
2022-11-23T01:32:31.7814394Z             {
2022-11-23T01:32:31.7814514Z                 'guard_types': None,
2022-11-23T01:32:31.7814625Z                 'code': None,
2022-11-23T01:32:31.7814748Z                 'obj_weakref': None
2022-11-23T01:32:31.7814876Z                 'guarded_class': None
2022-11-23T01:32:31.7814944Z             }
2022-11-23T01:32:31.7815012Z             
2022-11-23T01:32:31.7815080Z  - 
2022-11-23T01:32:31.7815216Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7815283Z             {
2022-11-23T01:32:31.7815407Z                 'guard_types': None,
2022-11-23T01:32:31.7815517Z                 'code': None,
2022-11-23T01:32:31.7815639Z                 'obj_weakref': None
2022-11-23T01:32:31.7815765Z                 'guarded_class': None
2022-11-23T01:32:31.7815826Z             }
2022-11-23T01:32:31.7815893Z             
2022-11-23T01:32:31.7816159Z [2022-11-23 01:30:04,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 610
2022-11-23T01:32:31.7816444Z [2022-11-23 01:30:04,812] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7816849Z [2022-11-23 01:30:04,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x4/cx4naelrkaknfnelywyzj37pjur6sosyrmv3mr2vgpjnsy62vrox.py
2022-11-23T01:32:31.7817116Z [2022-11-23 01:30:04,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 610
2022-11-23T01:32:31.7817122Z 
2022-11-23T01:32:31.7817221Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7817297Z import torch
2022-11-23T01:32:31.7817364Z import random
2022-11-23T01:32:31.7817487Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7817613Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7817619Z 
2022-11-23T01:32:31.7817703Z aten = torch.ops.aten
2022-11-23T01:32:31.7817843Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7817943Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7817948Z 
2022-11-23T01:32:31.7818029Z import triton
2022-11-23T01:32:31.7818121Z import triton.language as tl
2022-11-23T01:32:31.7818241Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7818383Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7818389Z 
2022-11-23T01:32:31.7818393Z 
2022-11-23T01:32:31.7818578Z triton_fused_add__to_copy_arange0 = async_compile.triton('''
2022-11-23T01:32:31.7818653Z import triton
2022-11-23T01:32:31.7818747Z import triton.language as tl
2022-11-23T01:32:31.7819004Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7819109Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7819237Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7819366Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7819371Z 
2022-11-23T01:32:31.7819752Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7819828Z @triton.jit
2022-11-23T01:32:31.7819964Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7820038Z     xnumel = 32
2022-11-23T01:32:31.7820138Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7820270Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7820347Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7820419Z     x0 = xindex
2022-11-23T01:32:31.7820517Z     tmp2 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.7820589Z     tmp0 = x0
2022-11-23T01:32:31.7820679Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:31.7820758Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.7820898Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.7820977Z ''')
2022-11-23T01:32:31.7820982Z 
2022-11-23T01:32:31.7820993Z 
2022-11-23T01:32:31.7821081Z async_compile.wait(globals())
2022-11-23T01:32:31.7821162Z del async_compile
2022-11-23T01:32:31.7821167Z 
2022-11-23T01:32:31.7821242Z def call(args):
2022-11-23T01:32:31.7821316Z     arg0_1, = args
2022-11-23T01:32:31.7821393Z     args.clear()
2022-11-23T01:32:31.7821589Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7821681Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7821833Z     triton_fused_add__to_copy_arange0.run(arg0_1, buf0, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.7821907Z     del arg0_1
2022-11-23T01:32:31.7821982Z     return (buf0, )
2022-11-23T01:32:31.7821987Z 
2022-11-23T01:32:31.7821992Z 
2022-11-23T01:32:31.7822072Z if __name__ == "__main__":
2022-11-23T01:32:31.7822192Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7822324Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7822520Z     arg0_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7822673Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7822713Z 
2022-11-23T01:32:31.7822779Z ok (0.086s)
2022-11-23T01:32:31.7823096Z   test_multi_device_cuda (__main__.CudaTests) ... [2022-11-23 01:30:04,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7823413Z [2022-11-23 01:30:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7823632Z [2022-11-23 01:30:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7823886Z [2022-11-23 01:30:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7824169Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7824493Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7824843Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7825166Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7825547Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec87c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1775> 
2022-11-23T01:32:31.7825640Z  1776           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7825738Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7825820Z                4 BINARY_ADD
2022-11-23T01:32:31.7825917Z                6 STORE_FAST               0 (x)
2022-11-23T01:32:31.7825922Z 
2022-11-23T01:32:31.7826019Z 1777           8 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7826116Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:31.7826195Z               12 BINARY_ADD
2022-11-23T01:32:31.7826282Z               14 STORE_FAST               0 (x)
2022-11-23T01:32:31.7826294Z 
2022-11-23T01:32:31.7826379Z 1778          16 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7826484Z               18 LOAD_METHOD              0 (cuda)
2022-11-23T01:32:31.7826580Z               20 CALL_METHOD              0
2022-11-23T01:32:31.7826673Z               22 STORE_FAST               0 (x)
2022-11-23T01:32:31.7826678Z 
2022-11-23T01:32:31.7826771Z 1779          24 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7826868Z               26 LOAD_CONST               3 (3)
2022-11-23T01:32:31.7826951Z               28 BINARY_ADD
2022-11-23T01:32:31.7827037Z               30 STORE_FAST               0 (x)
2022-11-23T01:32:31.7827042Z 
2022-11-23T01:32:31.7827135Z 1780          32 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7827230Z               34 LOAD_CONST               4 (4)
2022-11-23T01:32:31.7827313Z               36 BINARY_ADD
2022-11-23T01:32:31.7827405Z               38 STORE_FAST               0 (x)
2022-11-23T01:32:31.7827410Z 
2022-11-23T01:32:31.7827501Z 1781          40 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7827601Z               42 LOAD_METHOD              1 (cpu)
2022-11-23T01:32:31.7827695Z               44 CALL_METHOD              0
2022-11-23T01:32:31.7827783Z               46 STORE_FAST               0 (x)
2022-11-23T01:32:31.7827787Z 
2022-11-23T01:32:31.7827879Z 1782          48 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7827970Z               50 LOAD_CONST               5 (5)
2022-11-23T01:32:31.7828047Z               52 BINARY_ADD
2022-11-23T01:32:31.7828141Z               54 STORE_FAST               0 (x)
2022-11-23T01:32:31.7828146Z 
2022-11-23T01:32:31.7828237Z 1783          56 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7828360Z               58 LOAD_CONST               6 (6)
2022-11-23T01:32:31.7828432Z               60 BINARY_ADD
2022-11-23T01:32:31.7828545Z               62 STORE_FAST               0 (x)
2022-11-23T01:32:31.7828550Z 
2022-11-23T01:32:31.7828641Z 1784          64 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7828744Z               66 LOAD_METHOD              0 (cuda)
2022-11-23T01:32:31.7828837Z               68 CALL_METHOD              0
2022-11-23T01:32:31.7828930Z               70 STORE_FAST               0 (x)
2022-11-23T01:32:31.7828935Z 
2022-11-23T01:32:31.7829028Z 1785          72 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7829119Z               74 LOAD_CONST               7 (7)
2022-11-23T01:32:31.7829189Z               76 BINARY_ADD
2022-11-23T01:32:31.7829282Z               78 STORE_FAST               0 (x)
2022-11-23T01:32:31.7829287Z 
2022-11-23T01:32:31.7829377Z 1786          80 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7829470Z               82 LOAD_CONST               8 (8)
2022-11-23T01:32:31.7829550Z               84 BINARY_ADD
2022-11-23T01:32:31.7829642Z               86 STORE_FAST               0 (x)
2022-11-23T01:32:31.7829650Z 
2022-11-23T01:32:31.7829741Z 1787          88 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7829840Z               90 LOAD_METHOD              1 (cpu)
2022-11-23T01:32:31.7829926Z               92 CALL_METHOD              0
2022-11-23T01:32:31.7830019Z               94 STORE_FAST               0 (x)
2022-11-23T01:32:31.7830023Z 
2022-11-23T01:32:31.7830113Z 1788          96 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7830205Z               98 LOAD_CONST               9 (9)
2022-11-23T01:32:31.7830360Z              100 BINARY_ADD
2022-11-23T01:32:31.7830460Z              102 STORE_FAST               0 (x)
2022-11-23T01:32:31.7830466Z 
2022-11-23T01:32:31.7830560Z 1789         104 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7830657Z              106 LOAD_CONST              10 (10)
2022-11-23T01:32:31.7830728Z              108 BINARY_ADD
2022-11-23T01:32:31.7830824Z              110 STORE_FAST               0 (x)
2022-11-23T01:32:31.7830832Z 
2022-11-23T01:32:31.7830923Z 1790         112 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7831002Z              114 RETURN_VALUE
2022-11-23T01:32:31.7831067Z  
2022-11-23T01:32:31.7831072Z 
2022-11-23T01:32:31.7831395Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1776
2022-11-23T01:32:31.7831612Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7831855Z [2022-11-23 01:30:04,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:31.7832132Z [2022-11-23 01:30:04,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7832370Z [2022-11-23 01:30:04,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7832691Z [2022-11-23 01:30:04,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1777
2022-11-23T01:32:31.7832907Z [2022-11-23 01:30:04,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7833153Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.7833436Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7833679Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7833993Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1778
2022-11-23T01:32:31.7834206Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7834476Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cuda [TensorVariable()]
2022-11-23T01:32:31.7834795Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cuda)]
2022-11-23T01:32:31.7835035Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7835349Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1779
2022-11-23T01:32:31.7835563Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7835804Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:31.7836086Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7836327Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7836642Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1780
2022-11-23T01:32:31.7836854Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7837085Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:31.7837368Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7837603Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7837989Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1781
2022-11-23T01:32:31.7838229Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7838483Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cpu [TensorVariable()]
2022-11-23T01:32:31.7838773Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cpu)]
2022-11-23T01:32:31.7839013Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7839323Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1782
2022-11-23T01:32:31.7839528Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7839770Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:31.7840055Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7840292Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7840610Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1783
2022-11-23T01:32:31.7840822Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7841060Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable()]
2022-11-23T01:32:31.7841341Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7841579Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7841930Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1784
2022-11-23T01:32:31.7842157Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7842401Z [2022-11-23 01:30:04,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cuda [TensorVariable()]
2022-11-23T01:32:31.7842687Z [2022-11-23 01:30:04,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cuda)]
2022-11-23T01:32:31.7842925Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7843238Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1785
2022-11-23T01:32:31.7843450Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7843693Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TensorVariable()]
2022-11-23T01:32:31.7843977Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7844214Z [2022-11-23 01:30:04,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7844518Z [2022-11-23 01:30:04,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1786
2022-11-23T01:32:31.7844731Z [2022-11-23 01:30:04,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7844969Z [2022-11-23 01:30:04,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable()]
2022-11-23T01:32:31.7845251Z [2022-11-23 01:30:04,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7845488Z [2022-11-23 01:30:04,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7845804Z [2022-11-23 01:30:04,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1787
2022-11-23T01:32:31.7846017Z [2022-11-23 01:30:04,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7846271Z [2022-11-23 01:30:04,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cpu [TensorVariable()]
2022-11-23T01:32:31.7846554Z [2022-11-23 01:30:04,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), cpu)]
2022-11-23T01:32:31.7846785Z [2022-11-23 01:30:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7847096Z [2022-11-23 01:30:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1788
2022-11-23T01:32:31.7847311Z [2022-11-23 01:30:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7847552Z [2022-11-23 01:30:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [TensorVariable()]
2022-11-23T01:32:31.7847832Z [2022-11-23 01:30:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7848066Z [2022-11-23 01:30:04,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7848376Z [2022-11-23 01:30:04,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1789
2022-11-23T01:32:31.7848588Z [2022-11-23 01:30:04,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7848835Z [2022-11-23 01:30:04,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:31.7849140Z [2022-11-23 01:30:04,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7849371Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.7849702Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1790
2022-11-23T01:32:31.7849914Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.7850169Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7850551Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec87c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1775>
2022-11-23T01:32:31.7850801Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7851043Z [2022-11-23 01:30:04,893] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7851301Z [2022-11-23 01:30:04,895] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7851556Z [2022-11-23 01:30:04,904] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7851749Z [2022-11-23 01:30:04,904] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7851888Z  __compiled_fn_628 <eval_with_key>.3887 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7851984Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7852163Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.7852342Z call_function, add_1, <built-in function add>, (add, 2), {}
2022-11-23T01:32:31.7852440Z call_method, cuda, cuda, (add_1,), {}
2022-11-23T01:32:31.7852618Z call_function, add_2, <built-in function add>, (cuda, 3), {}
2022-11-23T01:32:31.7852799Z call_function, add_3, <built-in function add>, (add_2, 4), {}
2022-11-23T01:32:31.7852890Z call_method, cpu, cpu, (add_3,), {}
2022-11-23T01:32:31.7853067Z call_function, add_4, <built-in function add>, (cpu, 5), {}
2022-11-23T01:32:31.7853246Z call_function, add_5, <built-in function add>, (add_4, 6), {}
2022-11-23T01:32:31.7853344Z call_method, cuda_1, cuda, (add_5,), {}
2022-11-23T01:32:31.7853525Z call_function, add_6, <built-in function add>, (cuda_1, 7), {}
2022-11-23T01:32:31.7853700Z call_function, add_7, <built-in function add>, (add_6, 8), {}
2022-11-23T01:32:31.7853798Z call_method, cpu_1, cpu, (add_7,), {}
2022-11-23T01:32:31.7853965Z call_function, add_8, <built-in function add>, (cpu_1, 9), {}
2022-11-23T01:32:31.7854144Z call_function, add_9, <built-in function add>, (add_8, 10), {}
2022-11-23T01:32:31.7854245Z output, output, output, ((add_9,),), {}
2022-11-23T01:32:31.7854251Z 
2022-11-23T01:32:31.7854585Z [2022-11-23 01:30:04,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7854686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7854786Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7854882Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7854983Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7855068Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7855163Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7855245Z              12 RETURN_VALUE
2022-11-23T01:32:31.7855250Z 
2022-11-23T01:32:31.7855315Z  
2022-11-23T01:32:31.7855639Z [2022-11-23 01:30:04,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7855756Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_628)
2022-11-23T01:32:31.7855855Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7855956Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7856062Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7856175Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7856271Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7856353Z              12 RETURN_VALUE
2022-11-23T01:32:31.7856358Z 
2022-11-23T01:32:31.7856424Z  
2022-11-23T01:32:31.7856613Z [2022-11-23 01:30:04,905] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7856688Z  - 
2022-11-23T01:32:31.7856806Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7856876Z             {
2022-11-23T01:32:31.7857023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7857214Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7857340Z                 'obj_weakref': None
2022-11-23T01:32:31.7857566Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7857636Z             }
2022-11-23T01:32:31.7857698Z             
2022-11-23T01:32:31.7857775Z  - 
2022-11-23T01:32:31.7857907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7857977Z             {
2022-11-23T01:32:31.7858124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7858236Z                 'code': None,
2022-11-23T01:32:31.7858456Z                 'obj_weakref': <weakref at 0x7f1ffad3bdd0; to 'Tensor' at 0x7f21159c0ef0>
2022-11-23T01:32:31.7858701Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7858770Z             }
2022-11-23T01:32:31.7858969Z             
2022-11-23T01:32:31.7859049Z  - 
2022-11-23T01:32:31.7859196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7859265Z             {
2022-11-23T01:32:31.7859416Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7859601Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7859737Z                 'obj_weakref': None
2022-11-23T01:32:31.7859998Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7860073Z             }
2022-11-23T01:32:31.7860141Z             
2022-11-23T01:32:31.7860220Z  - 
2022-11-23T01:32:31.7860357Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7860419Z             {
2022-11-23T01:32:31.7860570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7860816Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7860949Z                 'obj_weakref': None
2022-11-23T01:32:31.7861199Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7861269Z             }
2022-11-23T01:32:31.7861337Z             
2022-11-23T01:32:31.7861626Z [2022-11-23 01:30:04,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 611
2022-11-23T01:32:31.7861833Z [2022-11-23 01:30:04,923] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:31.7862031Z [2022-11-23 01:30:04,925] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:31.7862224Z [2022-11-23 01:30:04,926] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:31.7862503Z [2022-11-23 01:30:04,940] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7862779Z [2022-11-23 01:30:04,944] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.7863203Z [2022-11-23 01:30:05,015] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hw/chwjbfhmq6jvidiwcncbjoezxeuhqr2w4rifggc3pnlrmj4ww4pq.py
2022-11-23T01:32:31.7863504Z [2022-11-23 01:30:05,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 611
2022-11-23T01:32:31.7863510Z 
2022-11-23T01:32:31.7863613Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7863682Z import torch
2022-11-23T01:32:31.7863758Z import random
2022-11-23T01:32:31.7863936Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7864106Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7864112Z 
2022-11-23T01:32:31.7864196Z aten = torch.ops.aten
2022-11-23T01:32:31.7864347Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7864448Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7864454Z 
2022-11-23T01:32:31.7864523Z import triton
2022-11-23T01:32:31.7864623Z import triton.language as tl
2022-11-23T01:32:31.7864758Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7864910Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7864916Z 
2022-11-23T01:32:31.7864921Z 
2022-11-23T01:32:31.7865126Z triton_fused_add_add_2_add_3_add_10 = async_compile.triton('''
2022-11-23T01:32:31.7865201Z import triton
2022-11-23T01:32:31.7865299Z import triton.language as tl
2022-11-23T01:32:31.7865421Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7865526Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7865673Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7865809Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7865814Z 
2022-11-23T01:32:31.7866247Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7866322Z @triton.jit
2022-11-23T01:32:31.7866464Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7866539Z     xnumel = 40
2022-11-23T01:32:31.7866644Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7866777Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7866863Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7866936Z     x0 = xindex
2022-11-23T01:32:31.7867038Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.7867112Z     tmp1 = 1
2022-11-23T01:32:31.7867195Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7867269Z     tmp3 = 2
2022-11-23T01:32:31.7867343Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.7867413Z     tmp5 = 3
2022-11-23T01:32:31.7867492Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:31.7867563Z     tmp7 = 4
2022-11-23T01:32:31.7867641Z     tmp8 = tmp6 + tmp7
2022-11-23T01:32:31.7867787Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.7867872Z ''')
2022-11-23T01:32:31.7867884Z 
2022-11-23T01:32:31.7867889Z 
2022-11-23T01:32:31.7868034Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:31.7868268Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.7868400Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:31.7868468Z {
2022-11-23T01:32:31.7868576Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:31.7868644Z     {
2022-11-23T01:32:31.7868729Z         #pragma omp for 
2022-11-23T01:32:31.7868816Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:31.7868888Z         {
2022-11-23T01:32:31.7869060Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:31.7869212Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:31.7869306Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.7869455Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:31.7869548Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:31.7869648Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:31.7869717Z         }
2022-11-23T01:32:31.7869824Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:31.7869918Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:31.7869986Z         {
2022-11-23T01:32:31.7870085Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:31.7870197Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:31.7870398Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.7870538Z             auto tmp3 = static_cast<float>(6);
2022-11-23T01:32:31.7870630Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:31.7870719Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:31.7870787Z         }
2022-11-23T01:32:31.7870855Z     }
2022-11-23T01:32:31.7870921Z }
2022-11-23T01:32:31.7871007Z ''')
2022-11-23T01:32:31.7871013Z 
2022-11-23T01:32:31.7871017Z 
2022-11-23T01:32:31.7871270Z triton_fused_add_1_add_2__to_copy_1_add_6_add_7_add_add_5_add_3__to_copy_add_42 = async_compile.triton('''
2022-11-23T01:32:31.7871347Z import triton
2022-11-23T01:32:31.7871442Z import triton.language as tl
2022-11-23T01:32:31.7871559Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7871662Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7871800Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7871929Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7871934Z 
2022-11-23T01:32:31.7872287Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.7872365Z @triton.jit
2022-11-23T01:32:31.7872495Z def kernel(in_out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7872570Z     xnumel = 40
2022-11-23T01:32:31.7872670Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7872805Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7872892Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7872958Z     x0 = xindex
2022-11-23T01:32:31.7873064Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.7873135Z     tmp1 = 7
2022-11-23T01:32:31.7873214Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7873285Z     tmp3 = 8
2022-11-23T01:32:31.7873366Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.7873506Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.7873589Z ''')
2022-11-23T01:32:31.7873595Z 
2022-11-23T01:32:31.7873610Z 
2022-11-23T01:32:31.7873741Z kernel_cpp_3 = async_compile.cpp('''
2022-11-23T01:32:31.7873952Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:31.7874076Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:31.7874143Z {
2022-11-23T01:32:31.7874246Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:31.7874312Z     {
2022-11-23T01:32:31.7874395Z         #pragma omp for 
2022-11-23T01:32:31.7874477Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:31.7874546Z         {
2022-11-23T01:32:31.7874692Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:32:31.7874836Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(9));
2022-11-23T01:32:31.7874930Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.7875074Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:31.7875164Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:31.7875262Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:32:31.7875331Z         }
2022-11-23T01:32:31.7875435Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:31.7875523Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:32:31.7875595Z         {
2022-11-23T01:32:31.7875692Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:31.7875798Z             auto tmp1 = static_cast<float>(9);
2022-11-23T01:32:31.7875882Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:31.7875989Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:31.7876079Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:31.7876169Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:31.7876239Z         }
2022-11-23T01:32:31.7876308Z     }
2022-11-23T01:32:31.7876375Z }
2022-11-23T01:32:31.7876455Z ''')
2022-11-23T01:32:31.7876461Z 
2022-11-23T01:32:31.7876465Z 
2022-11-23T01:32:31.7876592Z async_compile.wait(globals())
2022-11-23T01:32:31.7876673Z del async_compile
2022-11-23T01:32:31.7876699Z 
2022-11-23T01:32:31.7876780Z def call(args):
2022-11-23T01:32:31.7876856Z     arg0_1, = args
2022-11-23T01:32:31.7876932Z     args.clear()
2022-11-23T01:32:31.7877146Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7877231Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7877388Z     triton_fused_add_add_2_add_3_add_10.run(arg0_1, buf0, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:31.7877462Z     del arg0_1
2022-11-23T01:32:31.7877671Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.7877751Z     buf1.copy_(buf0)
2022-11-23T01:32:31.7877843Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:31.7877953Z     kernel_cpp_1(c_void_p(buf2.data_ptr()))
2022-11-23T01:32:31.7878036Z     buf3 = buf0; del buf0  # reuse
2022-11-23T01:32:31.7878116Z     buf3.copy_(buf2)
2022-11-23T01:32:31.7878207Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:31.7878401Z     triton_fused_add_1_add_2__to_copy_1_add_6_add_7_add_add_5_add_3__to_copy_add_42.run(buf4, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:31.7878492Z     buf5 = buf2; del buf2  # reuse
2022-11-23T01:32:31.7878571Z     buf5.copy_(buf4)
2022-11-23T01:32:31.7878643Z     del buf4
2022-11-23T01:32:31.7878725Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:31.7878835Z     kernel_cpp_3(c_void_p(buf6.data_ptr()))
2022-11-23T01:32:31.7878911Z     return (buf6, )
2022-11-23T01:32:31.7878917Z 
2022-11-23T01:32:31.7878922Z 
2022-11-23T01:32:31.7879004Z if __name__ == "__main__":
2022-11-23T01:32:31.7879126Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7879255Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7879465Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7879581Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7879589Z 
2022-11-23T01:32:31.7879654Z ok (0.142s)
2022-11-23T01:32:31.7879983Z   test_multilayer_low_prec_cuda (__main__.CudaTests) ... [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7880297Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7880516Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7880772Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7881052Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7881368Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7881719Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7882048Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7882423Z [2022-11-23 01:30:05,103] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f421e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 833> 
2022-11-23T01:32:31.7882526Z  834           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7882619Z               2 LOAD_METHOD              1 (mean)
2022-11-23T01:32:31.7882717Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7882810Z               6 CALL_METHOD              1
2022-11-23T01:32:31.7882895Z               8 RETURN_VALUE
2022-11-23T01:32:31.7882961Z  
2022-11-23T01:32:31.7882966Z 
2022-11-23T01:32:31.7883321Z [2022-11-23 01:30:05,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:834
2022-11-23T01:32:31.7883587Z [2022-11-23 01:30:05,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7883953Z [2022-11-23 01:30:05,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7884267Z [2022-11-23 01:30:05,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7884619Z [2022-11-23 01:30:05,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7884868Z [2022-11-23 01:30:05,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7885239Z [2022-11-23 01:30:05,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f421e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 833>
2022-11-23T01:32:31.7885489Z [2022-11-23 01:30:05,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7885725Z [2022-11-23 01:30:05,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7885983Z [2022-11-23 01:30:05,106] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7886240Z [2022-11-23 01:30:05,108] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7886434Z [2022-11-23 01:30:05,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7886576Z  __compiled_fn_629 <eval_with_key>.3893 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7886667Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7886898Z call_function, mean, <built-in method mean of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.7887002Z output, output, output, ((mean,),), {}
2022-11-23T01:32:31.7887007Z 
2022-11-23T01:32:31.7887340Z [2022-11-23 01:30:05,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7887440Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7887538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7887633Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7887733Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7887818Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7887912Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7887992Z              12 RETURN_VALUE
2022-11-23T01:32:31.7887997Z 
2022-11-23T01:32:31.7888064Z  
2022-11-23T01:32:31.7888390Z [2022-11-23 01:30:05,109] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7888510Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_629)
2022-11-23T01:32:31.7888609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7888700Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7888783Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7888876Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7888970Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7889053Z              12 RETURN_VALUE
2022-11-23T01:32:31.7889058Z 
2022-11-23T01:32:31.7889123Z  
2022-11-23T01:32:31.7889312Z [2022-11-23 01:30:05,109] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7889389Z  - 
2022-11-23T01:32:31.7889507Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7889576Z             {
2022-11-23T01:32:31.7889753Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7889964Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7890090Z                 'obj_weakref': None
2022-11-23T01:32:31.7890318Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7890390Z             }
2022-11-23T01:32:31.7890452Z             
2022-11-23T01:32:31.7890527Z  - 
2022-11-23T01:32:31.7890654Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7890726Z             {
2022-11-23T01:32:31.7890876Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7890988Z                 'code': None,
2022-11-23T01:32:31.7891202Z                 'obj_weakref': <weakref at 0x7f1ffad2f2e0; to 'Tensor' at 0x7f1ffad3a110>
2022-11-23T01:32:31.7891450Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7891519Z             }
2022-11-23T01:32:31.7891590Z             
2022-11-23T01:32:31.7891668Z  - 
2022-11-23T01:32:31.7891806Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7891875Z             {
2022-11-23T01:32:31.7892015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7892184Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7892308Z                 'obj_weakref': None
2022-11-23T01:32:31.7892543Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7892612Z             }
2022-11-23T01:32:31.7892680Z             
2022-11-23T01:32:31.7892755Z  - 
2022-11-23T01:32:31.7892881Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7892943Z             {
2022-11-23T01:32:31.7893085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7893305Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7893443Z                 'obj_weakref': None
2022-11-23T01:32:31.7893743Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7893845Z             }
2022-11-23T01:32:31.7893943Z             
2022-11-23T01:32:31.7894041Z  - 
2022-11-23T01:32:31.7894231Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7894309Z             {
2022-11-23T01:32:31.7894455Z                 'guard_types': None,
2022-11-23T01:32:31.7894567Z                 'code': None,
2022-11-23T01:32:31.7894689Z                 'obj_weakref': None
2022-11-23T01:32:31.7894807Z                 'guarded_class': None
2022-11-23T01:32:31.7894876Z             }
2022-11-23T01:32:31.7894944Z             
2022-11-23T01:32:31.7895212Z [2022-11-23 01:30:05,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 612
2022-11-23T01:32:31.7895464Z [2022-11-23 01:30:05,159] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7895973Z [2022-11-23 01:30:05,163] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7896187Z [2022-11-23 01:30:05,164] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.7896544Z [2022-11-23 01:30:05,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a5/ca5uek34e6bcsgtxn57ji4ikbxd5cvwgcstiu2ods7pmlsp52o7q.py
2022-11-23T01:32:31.7896810Z [2022-11-23 01:30:05,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 612
2022-11-23T01:32:31.7897041Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7897352Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7897613Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7897887Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7898167Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7898482Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7898953Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7899276Z [2022-11-23 01:30:05,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7899646Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f421e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 833> 
2022-11-23T01:32:31.7899754Z  834           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.7899847Z               2 LOAD_METHOD              1 (mean)
2022-11-23T01:32:31.7899945Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7900040Z               6 CALL_METHOD              1
2022-11-23T01:32:31.7900122Z               8 RETURN_VALUE
2022-11-23T01:32:31.7900189Z  
2022-11-23T01:32:31.7900194Z 
2022-11-23T01:32:31.7900505Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:834
2022-11-23T01:32:31.7900727Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.7901087Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.7901404Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.7901742Z [2022-11-23 01:30:05,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.7901990Z [2022-11-23 01:30:05,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7902357Z [2022-11-23 01:30:05,350] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f421e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 833>
2022-11-23T01:32:31.7902602Z [2022-11-23 01:30:05,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.7902839Z [2022-11-23 01:30:05,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7903098Z [2022-11-23 01:30:05,351] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7903351Z [2022-11-23 01:30:05,353] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7903542Z [2022-11-23 01:30:05,353] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7903686Z  __compiled_fn_630 <eval_with_key>.3899 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7903775Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7904000Z call_function, mean, <built-in method mean of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.7904103Z output, output, output, ((mean,),), {}
2022-11-23T01:32:31.7904108Z 
2022-11-23T01:32:31.7904483Z [2022-11-23 01:30:05,353] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7904587Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7904712Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7904805Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7904905Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7904990Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7905086Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7905167Z              12 RETURN_VALUE
2022-11-23T01:32:31.7905172Z 
2022-11-23T01:32:31.7905238Z  
2022-11-23T01:32:31.7905564Z [2022-11-23 01:30:05,353] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7905680Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_630)
2022-11-23T01:32:31.7905776Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7905873Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7905951Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7906045Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7906142Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.7906222Z              12 RETURN_VALUE
2022-11-23T01:32:31.7906228Z 
2022-11-23T01:32:31.7906294Z  
2022-11-23T01:32:31.7906482Z [2022-11-23 01:30:05,354] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7906559Z  - 
2022-11-23T01:32:31.7906676Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7906745Z             {
2022-11-23T01:32:31.7906890Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7907081Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7907206Z                 'obj_weakref': None
2022-11-23T01:32:31.7907432Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7907502Z             }
2022-11-23T01:32:31.7907564Z             
2022-11-23T01:32:31.7907643Z  - 
2022-11-23T01:32:31.7907772Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7907841Z             {
2022-11-23T01:32:31.7907989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7908101Z                 'code': None,
2022-11-23T01:32:31.7908314Z                 'obj_weakref': <weakref at 0x7f1ffad2f2e0; to 'Tensor' at 0x7f1ffad3a110>
2022-11-23T01:32:31.7908558Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7908628Z             }
2022-11-23T01:32:31.7908697Z             
2022-11-23T01:32:31.7908772Z  - 
2022-11-23T01:32:31.7908908Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7908976Z             {
2022-11-23T01:32:31.7909116Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7909283Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7909406Z                 'obj_weakref': None
2022-11-23T01:32:31.7909640Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7909711Z             }
2022-11-23T01:32:31.7909778Z             
2022-11-23T01:32:31.7909853Z  - 
2022-11-23T01:32:31.7909979Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7910040Z             {
2022-11-23T01:32:31.7910182Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7910480Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7910608Z                 'obj_weakref': None
2022-11-23T01:32:31.7910833Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7910901Z             }
2022-11-23T01:32:31.7910968Z             
2022-11-23T01:32:31.7911035Z  - 
2022-11-23T01:32:31.7911174Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.7911241Z             {
2022-11-23T01:32:31.7911400Z                 'guard_types': None,
2022-11-23T01:32:31.7911513Z                 'code': None,
2022-11-23T01:32:31.7911667Z                 'obj_weakref': None
2022-11-23T01:32:31.7911792Z                 'guarded_class': None
2022-11-23T01:32:31.7911853Z             }
2022-11-23T01:32:31.7911921Z             
2022-11-23T01:32:31.7912184Z [2022-11-23 01:30:05,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 613
2022-11-23T01:32:31.7912435Z [2022-11-23 01:30:05,371] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7912941Z [2022-11-23 01:30:05,374] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.7913153Z [2022-11-23 01:30:05,375] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:31.7913159Z 
2022-11-23T01:32:31.7913262Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7913337Z import torch
2022-11-23T01:32:31.7913406Z import random
2022-11-23T01:32:31.7913527Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7913654Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7913659Z 
2022-11-23T01:32:31.7913745Z aten = torch.ops.aten
2022-11-23T01:32:31.7913888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7913984Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7913989Z 
2022-11-23T01:32:31.7914064Z import triton
2022-11-23T01:32:31.7914155Z import triton.language as tl
2022-11-23T01:32:31.7914276Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7914419Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7914425Z 
2022-11-23T01:32:31.7914429Z 
2022-11-23T01:32:31.7914586Z triton_fused_mean0 = async_compile.triton('''
2022-11-23T01:32:31.7914660Z import triton
2022-11-23T01:32:31.7914757Z import triton.language as tl
2022-11-23T01:32:31.7914872Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7914978Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7915105Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7915232Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7915237Z 
2022-11-23T01:32:31.7915330Z @reduction(size_hints=[512, 8192],
2022-11-23T01:32:31.7915445Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7915531Z               filename=__file__,
2022-11-23T01:32:31.7915857Z               meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7915931Z @triton.jit
2022-11-23T01:32:31.7916104Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7916173Z     xnumel = 454
2022-11-23T01:32:31.7916250Z     rnumel = 8188
2022-11-23T01:32:31.7916348Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7916488Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7916572Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7916692Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7916763Z     x0 = xindex
2022-11-23T01:32:31.7916875Z     _tmp6 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7916981Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7917070Z         rindex = roffset + rbase
2022-11-23T01:32:31.7917155Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7917226Z         r1 = rindex
2022-11-23T01:32:31.7917310Z         tmp0 = r1 + (8188*x0)
2022-11-23T01:32:31.7917385Z         tmp1 = 3717120
2022-11-23T01:32:31.7917460Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.7917831Z         tmp3 = tl.load(in_ptr0 + ((r1 + (8188*x0)) % 3717120 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:31.7917943Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.7918039Z         tmp5 = tl.where(tmp2, tmp4, 0)
2022-11-23T01:32:31.7918162Z         _tmp6 = tl.where(xmask & rmask, _tmp6 + tmp5, _tmp6)
2022-11-23T01:32:31.7918276Z     tmp6 = tl.reshape(tl.sum(_tmp6, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7918374Z     tl.store(out_ptr0 + x0, tmp6, xmask)
2022-11-23T01:32:31.7918464Z ''')
2022-11-23T01:32:31.7918470Z 
2022-11-23T01:32:31.7918474Z 
2022-11-23T01:32:31.7918621Z triton_fused_mean1 = async_compile.triton('''
2022-11-23T01:32:31.7918696Z import triton
2022-11-23T01:32:31.7918789Z import triton.language as tl
2022-11-23T01:32:31.7918904Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7919007Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7919141Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7919266Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7919274Z 
2022-11-23T01:32:31.7919358Z @reduction(size_hints=[1, 512],
2022-11-23T01:32:31.7919475Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7919564Z               filename=__file__,
2022-11-23T01:32:31.7919891Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7919965Z @triton.jit
2022-11-23T01:32:31.7920135Z def kernel(in_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7920207Z     xnumel = 1
2022-11-23T01:32:31.7920284Z     rnumel = 454
2022-11-23T01:32:31.7920375Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7920510Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7920594Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7920712Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7920834Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7920942Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7921030Z         rindex = roffset + rbase
2022-11-23T01:32:31.7921110Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7921181Z         r0 = rindex
2022-11-23T01:32:31.7921375Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7921497Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.7921611Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7921684Z     tmp2 = 3717120
2022-11-23T01:32:31.7921763Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.7921845Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.7921981Z     tl.store(out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp4, None)
2022-11-23T01:32:31.7922066Z ''')
2022-11-23T01:32:31.7922071Z 
2022-11-23T01:32:31.7922076Z 
2022-11-23T01:32:31.7922171Z async_compile.wait(globals())
2022-11-23T01:32:31.7922250Z del async_compile
2022-11-23T01:32:31.7922255Z 
2022-11-23T01:32:31.7922332Z def call(args):
2022-11-23T01:32:31.7922404Z     arg0_1, = args
2022-11-23T01:32:31.7922483Z     args.clear()
2022-11-23T01:32:31.7922675Z     buf0 = empty_strided((454, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7922768Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7922911Z     triton_fused_mean0.run(arg0_1, buf0, 454, 8188, grid=grid(454), stream=stream0)
2022-11-23T01:32:31.7922983Z     del arg0_1
2022-11-23T01:32:31.7923169Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7923307Z     triton_fused_mean1.run(buf0, buf2, 1, 454, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7923382Z     return (buf2, )
2022-11-23T01:32:31.7923387Z 
2022-11-23T01:32:31.7923391Z 
2022-11-23T01:32:31.7923464Z if __name__ == "__main__":
2022-11-23T01:32:31.7923584Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7923742Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7923976Z     arg0_1 = rand_strided((10, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7924113Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7924118Z 
2022-11-23T01:32:31.7924474Z [2022-11-23 01:30:05,377] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a5/ca5uek34e6bcsgtxn57ji4ikbxd5cvwgcstiu2ods7pmlsp52o7q.py
2022-11-23T01:32:31.7924739Z [2022-11-23 01:30:05,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 613
2022-11-23T01:32:31.7924745Z 
2022-11-23T01:32:31.7924844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7924918Z import torch
2022-11-23T01:32:31.7924987Z import random
2022-11-23T01:32:31.7925112Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7925236Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7925241Z 
2022-11-23T01:32:31.7925324Z aten = torch.ops.aten
2022-11-23T01:32:31.7925467Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7925566Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7925571Z 
2022-11-23T01:32:31.7925645Z import triton
2022-11-23T01:32:31.7925732Z import triton.language as tl
2022-11-23T01:32:31.7925857Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7926000Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7926006Z 
2022-11-23T01:32:31.7926011Z 
2022-11-23T01:32:31.7926164Z triton_fused_mean0 = async_compile.triton('''
2022-11-23T01:32:31.7926239Z import triton
2022-11-23T01:32:31.7926330Z import triton.language as tl
2022-11-23T01:32:31.7926444Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7926546Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7926671Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7926798Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7926803Z 
2022-11-23T01:32:31.7926904Z @reduction(size_hints=[512, 8192],
2022-11-23T01:32:31.7927022Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7927109Z               filename=__file__,
2022-11-23T01:32:31.7927434Z               meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7927506Z @triton.jit
2022-11-23T01:32:31.7927675Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7927742Z     xnumel = 454
2022-11-23T01:32:31.7927814Z     rnumel = 8188
2022-11-23T01:32:31.7927911Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7928047Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7928131Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7928251Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7928326Z     x0 = xindex
2022-11-23T01:32:31.7928438Z     _tmp6 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7928548Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7928637Z         rindex = roffset + rbase
2022-11-23T01:32:31.7928722Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7928793Z         r1 = rindex
2022-11-23T01:32:31.7928872Z         tmp0 = r1 + (8188*x0)
2022-11-23T01:32:31.7928946Z         tmp1 = 3717120
2022-11-23T01:32:31.7929021Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:31.7929360Z         tmp3 = tl.load(in_ptr0 + ((r1 + (8188*x0)) % 3717120 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:31.7929452Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.7929545Z         tmp5 = tl.where(tmp2, tmp4, 0)
2022-11-23T01:32:31.7929667Z         _tmp6 = tl.where(xmask & rmask, _tmp6 + tmp5, _tmp6)
2022-11-23T01:32:31.7929782Z     tmp6 = tl.reshape(tl.sum(_tmp6, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7929908Z     tl.store(out_ptr0 + x0, tmp6, xmask)
2022-11-23T01:32:31.7930009Z ''')
2022-11-23T01:32:31.7930015Z 
2022-11-23T01:32:31.7930025Z 
2022-11-23T01:32:31.7930172Z triton_fused_mean1 = async_compile.triton('''
2022-11-23T01:32:31.7930248Z import triton
2022-11-23T01:32:31.7930341Z import triton.language as tl
2022-11-23T01:32:31.7930456Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7930558Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7930691Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.7930817Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7930822Z 
2022-11-23T01:32:31.7930906Z @reduction(size_hints=[1, 512],
2022-11-23T01:32:31.7931022Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.7931107Z               filename=__file__,
2022-11-23T01:32:31.7931434Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.7931513Z @triton.jit
2022-11-23T01:32:31.7931681Z def kernel(in_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.7931755Z     xnumel = 1
2022-11-23T01:32:31.7931822Z     rnumel = 454
2022-11-23T01:32:31.7931920Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7932060Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.7932148Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7932268Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.7932386Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.7932495Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.7932585Z         rindex = roffset + rbase
2022-11-23T01:32:31.7932664Z         rmask = rindex < rnumel
2022-11-23T01:32:31.7932736Z         r0 = rindex
2022-11-23T01:32:31.7932935Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.7933060Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.7933173Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.7933251Z     tmp2 = 3717120
2022-11-23T01:32:31.7933330Z     tmp3 = tmp1 / tmp2
2022-11-23T01:32:31.7933413Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:31.7933547Z     tl.store(out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp4, None)
2022-11-23T01:32:31.7933632Z ''')
2022-11-23T01:32:31.7933637Z 
2022-11-23T01:32:31.7933642Z 
2022-11-23T01:32:31.7933736Z async_compile.wait(globals())
2022-11-23T01:32:31.7933813Z del async_compile
2022-11-23T01:32:31.7933818Z 
2022-11-23T01:32:31.7933894Z def call(args):
2022-11-23T01:32:31.7933967Z     arg0_1, = args
2022-11-23T01:32:31.7934036Z     args.clear()
2022-11-23T01:32:31.7934233Z     buf0 = empty_strided((454, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7934324Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7934469Z     triton_fused_mean0.run(arg0_1, buf0, 454, 8188, grid=grid(454), stream=stream0)
2022-11-23T01:32:31.7934542Z     del arg0_1
2022-11-23T01:32:31.7934727Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7934863Z     triton_fused_mean1.run(buf0, buf2, 1, 454, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.7934932Z     return (buf2, )
2022-11-23T01:32:31.7934944Z 
2022-11-23T01:32:31.7934949Z 
2022-11-23T01:32:31.7935022Z if __name__ == "__main__":
2022-11-23T01:32:31.7935141Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7935269Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7935500Z     arg0_1 = rand_strided((10, 3, 352, 352), (371712, 123904, 352, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7935613Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7935618Z 
2022-11-23T01:32:31.7935689Z ok (0.361s)
2022-11-23T01:32:31.7935875Z   test_nan_to_num_cuda (__main__.CudaTests) ... skip: Skipping due to op bugs (0.001s)
2022-11-23T01:32:31.7936199Z   test_narrow_cuda (__main__.CudaTests) ... [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7936508Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7936733Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7936987Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7937265Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7937583Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7937925Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7938246Z [2022-11-23 01:30:05,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7938614Z [2022-11-23 01:30:05,382] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599> 
2022-11-23T01:32:31.7938718Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7938929Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:31.7939021Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7939117Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7939217Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:31.7939316Z               10 LOAD_CONST               3 (16)
2022-11-23T01:32:31.7939412Z               12 CALL_METHOD              4
2022-11-23T01:32:31.7939512Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7939613Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:31.7939702Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7939796Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:31.7939877Z               22 BINARY_ADD
2022-11-23T01:32:31.7939970Z               24 LOAD_CONST               5 (0)
2022-11-23T01:32:31.7940065Z               26 LOAD_CONST               2 (10)
2022-11-23T01:32:31.7940163Z               28 LOAD_CONST               3 (16)
2022-11-23T01:32:31.7940256Z               30 CALL_METHOD              4
2022-11-23T01:32:31.7940343Z               32 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7940420Z               34 BINARY_ADD
2022-11-23T01:32:31.7940514Z               36 BUILD_TUPLE              2
2022-11-23T01:32:31.7940598Z               38 RETURN_VALUE
2022-11-23T01:32:31.7940667Z  
2022-11-23T01:32:31.7940672Z 
2022-11-23T01:32:31.7940992Z [2022-11-23 01:30:05,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600
2022-11-23T01:32:31.7941212Z [2022-11-23 01:30:05,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7941525Z [2022-11-23 01:30:05,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7941776Z [2022-11-23 01:30:05,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T01:32:31.7942058Z [2022-11-23 01:30:05,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7942418Z [2022-11-23 01:30:05,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7942799Z [2022-11-23 01:30:05,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7943186Z [2022-11-23 01:30:05,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7943429Z [2022-11-23 01:30:05,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.7943759Z [2022-11-23 01:30:05,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7944044Z [2022-11-23 01:30:05,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T01:32:31.7944351Z [2022-11-23 01:30:05,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7944700Z [2022-11-23 01:30:05,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7945002Z [2022-11-23 01:30:05,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7945346Z [2022-11-23 01:30:05,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7945715Z [2022-11-23 01:30:05,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7946267Z [2022-11-23 01:30:05,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7946645Z [2022-11-23 01:30:05,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7946983Z [2022-11-23 01:30:05,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7947256Z [2022-11-23 01:30:05,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7947507Z [2022-11-23 01:30:05,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7947885Z [2022-11-23 01:30:05,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599>
2022-11-23T01:32:31.7948138Z [2022-11-23 01:30:05,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7948379Z [2022-11-23 01:30:05,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7948639Z [2022-11-23 01:30:05,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7948895Z [2022-11-23 01:30:05,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7949082Z [2022-11-23 01:30:05,402] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7949225Z  __compiled_fn_631 <eval_with_key>.3905 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7949318Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7949441Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T01:32:31.7949618Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:31.7949779Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T01:32:31.7949983Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T01:32:31.7950089Z output, output, output, ((narrow, add_1),), {}
2022-11-23T01:32:31.7950102Z 
2022-11-23T01:32:31.7950506Z [2022-11-23 01:30:05,402] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7950608Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7950704Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7950795Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7950897Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7950988Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7951081Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7951155Z              12 RETURN_VALUE
2022-11-23T01:32:31.7951167Z 
2022-11-23T01:32:31.7951226Z  
2022-11-23T01:32:31.7951547Z [2022-11-23 01:30:05,402] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7951666Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_631)
2022-11-23T01:32:31.7951761Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7951856Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7951936Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7952027Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7952131Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7952238Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7952331Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7952413Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7952519Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7952614Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7952697Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7952786Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7952866Z              26 RETURN_VALUE
2022-11-23T01:32:31.7952871Z 
2022-11-23T01:32:31.7952937Z  
2022-11-23T01:32:31.7953123Z [2022-11-23 01:30:05,403] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7953198Z  - 
2022-11-23T01:32:31.7953320Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7953389Z             {
2022-11-23T01:32:31.7953527Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7953716Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7953840Z                 'obj_weakref': None
2022-11-23T01:32:31.7954067Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7954137Z             }
2022-11-23T01:32:31.7954203Z             
2022-11-23T01:32:31.7954279Z  - 
2022-11-23T01:32:31.7954401Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7954471Z             {
2022-11-23T01:32:31.7954621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7954731Z                 'code': None,
2022-11-23T01:32:31.7954943Z                 'obj_weakref': <weakref at 0x7f1ffad79260; to 'Tensor' at 0x7f1fd8c26c00>
2022-11-23T01:32:31.7955194Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7955262Z             }
2022-11-23T01:32:31.7955322Z             
2022-11-23T01:32:31.7955397Z  - 
2022-11-23T01:32:31.7955530Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7955599Z             {
2022-11-23T01:32:31.7955738Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7955915Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7956037Z                 'obj_weakref': None
2022-11-23T01:32:31.7956294Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7956393Z             }
2022-11-23T01:32:31.7956460Z             
2022-11-23T01:32:31.7956536Z  - 
2022-11-23T01:32:31.7956666Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7956736Z             {
2022-11-23T01:32:31.7956880Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7957089Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7957214Z                 'obj_weakref': None
2022-11-23T01:32:31.7957436Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7957505Z             }
2022-11-23T01:32:31.7957572Z             
2022-11-23T01:32:31.7957646Z  - 
2022-11-23T01:32:31.7957780Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7957841Z             {
2022-11-23T01:32:31.7957965Z                 'guard_types': None,
2022-11-23T01:32:31.7958076Z                 'code': None,
2022-11-23T01:32:31.7958199Z                 'obj_weakref': None
2022-11-23T01:32:31.7958326Z                 'guarded_class': None
2022-11-23T01:32:31.7958394Z             }
2022-11-23T01:32:31.7958460Z             
2022-11-23T01:32:31.7958714Z [2022-11-23 01:30:05,409] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 614
2022-11-23T01:32:31.7958961Z [2022-11-23 01:30:05,416] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7959322Z [2022-11-23 01:30:05,480] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3kamhldh5jqvyun3oghihbl66ifsljirq6lvnnrnb25bqktxaor.py
2022-11-23T01:32:31.7959589Z [2022-11-23 01:30:05,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 614
2022-11-23T01:32:31.7959827Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7960140Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7960365Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7960617Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7960896Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7961212Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7961560Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7961886Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7962264Z [2022-11-23 01:30:05,483] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599> 
2022-11-23T01:32:31.7962365Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7962466Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:31.7962563Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7962660Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7962757Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:31.7962846Z               10 LOAD_CONST               3 (16)
2022-11-23T01:32:31.7962940Z               12 CALL_METHOD              4
2022-11-23T01:32:31.7963039Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7963138Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:31.7963261Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.7963375Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:31.7963453Z               22 BINARY_ADD
2022-11-23T01:32:31.7963542Z               24 LOAD_CONST               5 (0)
2022-11-23T01:32:31.7963636Z               26 LOAD_CONST               2 (10)
2022-11-23T01:32:31.7963730Z               28 LOAD_CONST               3 (16)
2022-11-23T01:32:31.7963824Z               30 CALL_METHOD              4
2022-11-23T01:32:31.7963920Z               32 LOAD_CONST               1 (1)
2022-11-23T01:32:31.7963996Z               34 BINARY_ADD
2022-11-23T01:32:31.7964090Z               36 BUILD_TUPLE              2
2022-11-23T01:32:31.7964164Z               38 RETURN_VALUE
2022-11-23T01:32:31.7964228Z  
2022-11-23T01:32:31.7964234Z 
2022-11-23T01:32:31.7964550Z [2022-11-23 01:30:05,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600
2022-11-23T01:32:31.7964776Z [2022-11-23 01:30:05,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7965083Z [2022-11-23 01:30:05,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7965337Z [2022-11-23 01:30:05,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T01:32:31.7965620Z [2022-11-23 01:30:05,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7965945Z [2022-11-23 01:30:05,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7966304Z [2022-11-23 01:30:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7966703Z [2022-11-23 01:30:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7966954Z [2022-11-23 01:30:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.7967283Z [2022-11-23 01:30:05,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7967572Z [2022-11-23 01:30:05,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T01:32:31.7967881Z [2022-11-23 01:30:05,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7968234Z [2022-11-23 01:30:05,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7968538Z [2022-11-23 01:30:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:31.7968881Z [2022-11-23 01:30:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7969257Z [2022-11-23 01:30:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7969672Z [2022-11-23 01:30:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.7969973Z [2022-11-23 01:30:05,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7970281Z [2022-11-23 01:30:05,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.7970573Z [2022-11-23 01:30:05,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.7970814Z [2022-11-23 01:30:05,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7971191Z [2022-11-23 01:30:05,499] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599>
2022-11-23T01:32:31.7971434Z [2022-11-23 01:30:05,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.7971669Z [2022-11-23 01:30:05,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.7971929Z [2022-11-23 01:30:05,500] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.7972185Z [2022-11-23 01:30:05,504] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.7972382Z [2022-11-23 01:30:05,504] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.7972524Z  __compiled_fn_632 <eval_with_key>.3911 opcode, name, target, args, kwargs
2022-11-23T01:32:31.7972618Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.7972734Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T01:32:31.7972909Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:31.7973032Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T01:32:31.7973220Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T01:32:31.7973332Z output, output, output, ((narrow, add_1),), {}
2022-11-23T01:32:31.7973338Z 
2022-11-23T01:32:31.7973668Z [2022-11-23 01:30:05,504] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7973769Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.7973864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7973950Z               4 BUILD_MAP                0
2022-11-23T01:32:31.7974047Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.7974138Z               8 DICT_MERGE               1
2022-11-23T01:32:31.7974231Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.7974311Z              12 RETURN_VALUE
2022-11-23T01:32:31.7974317Z 
2022-11-23T01:32:31.7974381Z  
2022-11-23T01:32:31.7974702Z [2022-11-23 01:30:05,504] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.7974818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_632)
2022-11-23T01:32:31.7974910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.7975007Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7975088Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.7975182Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.7975292Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.7975400Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7975494Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.7975568Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.7975679Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.7975772Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.7975852Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.7975944Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.7976023Z              26 RETURN_VALUE
2022-11-23T01:32:31.7976028Z 
2022-11-23T01:32:31.7976091Z  
2022-11-23T01:32:31.7976300Z [2022-11-23 01:30:05,505] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.7976397Z  - 
2022-11-23T01:32:31.7976521Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.7976590Z             {
2022-11-23T01:32:31.7976736Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.7976928Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.7977052Z                 'obj_weakref': None
2022-11-23T01:32:31.7977269Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.7977339Z             }
2022-11-23T01:32:31.7977406Z             
2022-11-23T01:32:31.7977480Z  - 
2022-11-23T01:32:31.7977607Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.7977675Z             {
2022-11-23T01:32:31.7977821Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.7977925Z                 'code': None,
2022-11-23T01:32:31.7978145Z                 'obj_weakref': <weakref at 0x7f1ffad42ca0; to 'Tensor' at 0x7f1fd8c25b70>
2022-11-23T01:32:31.7978397Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.7978473Z             }
2022-11-23T01:32:31.7978544Z             
2022-11-23T01:32:31.7978619Z  - 
2022-11-23T01:32:31.7978754Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.7978926Z             {
2022-11-23T01:32:31.7979072Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.7979246Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.7979369Z                 'obj_weakref': None
2022-11-23T01:32:31.7979603Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.7979675Z             }
2022-11-23T01:32:31.7979741Z             
2022-11-23T01:32:31.7979809Z  - 
2022-11-23T01:32:31.7979935Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.7980001Z             {
2022-11-23T01:32:31.7980145Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.7980367Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.7980491Z                 'obj_weakref': None
2022-11-23T01:32:31.7980714Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.7980776Z             }
2022-11-23T01:32:31.7980841Z             
2022-11-23T01:32:31.7980915Z  - 
2022-11-23T01:32:31.7981049Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.7981117Z             {
2022-11-23T01:32:31.7981241Z                 'guard_types': None,
2022-11-23T01:32:31.7981352Z                 'code': None,
2022-11-23T01:32:31.7981466Z                 'obj_weakref': None
2022-11-23T01:32:31.7981591Z                 'guarded_class': None
2022-11-23T01:32:31.7981659Z             }
2022-11-23T01:32:31.7981726Z             
2022-11-23T01:32:31.7981993Z [2022-11-23 01:30:05,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 615
2022-11-23T01:32:31.7982246Z [2022-11-23 01:30:05,515] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.7982620Z [2022-11-23 01:30:05,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccjhkynfhoammu3zdzxhpw6oadpjvub2h6sswda77v3kroc5vcir.py
2022-11-23T01:32:31.7982925Z [2022-11-23 01:30:05,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 615
2022-11-23T01:32:31.7982933Z 
2022-11-23T01:32:31.7983064Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7983154Z import torch
2022-11-23T01:32:31.7983230Z import random
2022-11-23T01:32:31.7983353Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7983480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7983486Z 
2022-11-23T01:32:31.7983568Z aten = torch.ops.aten
2022-11-23T01:32:31.7983774Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7983904Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7983967Z 
2022-11-23T01:32:31.7984044Z import triton
2022-11-23T01:32:31.7984139Z import triton.language as tl
2022-11-23T01:32:31.7984267Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7984411Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7984417Z 
2022-11-23T01:32:31.7984422Z 
2022-11-23T01:32:31.7984610Z triton_fused_slice_2_add_1_add0 = async_compile.triton('''
2022-11-23T01:32:31.7984685Z import triton
2022-11-23T01:32:31.7984777Z import triton.language as tl
2022-11-23T01:32:31.7984886Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7984988Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7985123Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7985250Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7985255Z 
2022-11-23T01:32:31.7985636Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7985712Z @triton.jit
2022-11-23T01:32:31.7985847Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7985920Z     xnumel = 1024
2022-11-23T01:32:31.7986011Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7986143Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7986226Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7986299Z     x0 = xindex
2022-11-23T01:32:31.7986402Z     tmp0 = tl.load(in_ptr0 + (640 + x0), xmask)
2022-11-23T01:32:31.7986473Z     tmp1 = 2
2022-11-23T01:32:31.7986552Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7986615Z     tmp3 = 1
2022-11-23T01:32:31.7986694Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.7986834Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.7986921Z ''')
2022-11-23T01:32:31.7986929Z 
2022-11-23T01:32:31.7986937Z 
2022-11-23T01:32:31.7987029Z async_compile.wait(globals())
2022-11-23T01:32:31.7987105Z del async_compile
2022-11-23T01:32:31.7987110Z 
2022-11-23T01:32:31.7987183Z def call(args):
2022-11-23T01:32:31.7987256Z     arg0_1, = args
2022-11-23T01:32:31.7987324Z     args.clear()
2022-11-23T01:32:31.7987527Z     buf0 = empty_strided((16, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7987618Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7987771Z     triton_fused_slice_2_add_1_add0.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.7987886Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T01:32:31.7987892Z 
2022-11-23T01:32:31.7987896Z 
2022-11-23T01:32:31.7987976Z if __name__ == "__main__":
2022-11-23T01:32:31.7988093Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7988214Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7988421Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.7988536Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7988541Z 
2022-11-23T01:32:31.7988546Z 
2022-11-23T01:32:31.7988644Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.7988717Z import torch
2022-11-23T01:32:31.7988794Z import random
2022-11-23T01:32:31.7988914Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.7989038Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.7989043Z 
2022-11-23T01:32:31.7989118Z aten = torch.ops.aten
2022-11-23T01:32:31.7989257Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.7989351Z async_compile = AsyncCompile()
2022-11-23T01:32:31.7989356Z 
2022-11-23T01:32:31.7989431Z import triton
2022-11-23T01:32:31.7989522Z import triton.language as tl
2022-11-23T01:32:31.7989649Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.7989850Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.7989878Z 
2022-11-23T01:32:31.7989882Z 
2022-11-23T01:32:31.7990061Z triton_fused_slice_2_add_add_10 = async_compile.triton('''
2022-11-23T01:32:31.7990128Z import triton
2022-11-23T01:32:31.7990220Z import triton.language as tl
2022-11-23T01:32:31.7990421Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.7990542Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.7990699Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.7990825Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.7990831Z 
2022-11-23T01:32:31.7991207Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.7991281Z @triton.jit
2022-11-23T01:32:31.7991409Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.7991488Z     xnumel = 1024
2022-11-23T01:32:31.7991589Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.7991721Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.7991806Z     xmask = xindex < xnumel
2022-11-23T01:32:31.7991876Z     x0 = xindex
2022-11-23T01:32:31.7992006Z     tmp0 = tl.load(in_ptr0 + (640 + x0), xmask).to(tl.float32)
2022-11-23T01:32:31.7992070Z     tmp1 = 2
2022-11-23T01:32:31.7992150Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.7992222Z     tmp3 = 1
2022-11-23T01:32:31.7992299Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.7992437Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.7992524Z ''')
2022-11-23T01:32:31.7992529Z 
2022-11-23T01:32:31.7992534Z 
2022-11-23T01:32:31.7992627Z async_compile.wait(globals())
2022-11-23T01:32:31.7992697Z del async_compile
2022-11-23T01:32:31.7992712Z 
2022-11-23T01:32:31.7992780Z def call(args):
2022-11-23T01:32:31.7992855Z     arg0_1, = args
2022-11-23T01:32:31.7992933Z     args.clear()
2022-11-23T01:32:31.7993139Z     buf0 = empty_strided((16, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7993228Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.7993384Z     triton_fused_slice_2_add_add_10.run(arg0_1, buf0, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.7993498Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T01:32:31.7993503Z 
2022-11-23T01:32:31.7993508Z 
2022-11-23T01:32:31.7993582Z if __name__ == "__main__":
2022-11-23T01:32:31.7993700Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.7993830Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.7994033Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.7994146Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.7994151Z 
2022-11-23T01:32:31.7994221Z ok (0.211s)
2022-11-23T01:32:31.7994547Z   test_new_empty_strided_cuda (__main__.CudaTests) ... [2022-11-23 01:30:05,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.7994866Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.7995086Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.7995332Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.7995608Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.7995933Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7996312Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7996655Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.7997032Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813> 
2022-11-23T01:32:31.7997140Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.7997256Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T01:32:31.7997352Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.7997439Z                6 BUILD_LIST               0
2022-11-23T01:32:31.7997543Z                8 LOAD_CONST               1 ((1, 128, 128))
2022-11-23T01:32:31.7997636Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.7997730Z               12 BUILD_LIST               0
2022-11-23T01:32:31.7997835Z               14 LOAD_CONST               2 ((16384, 128, 1))
2022-11-23T01:32:31.7997930Z               16 LIST_EXTEND              1
2022-11-23T01:32:31.7998021Z               18 CALL_METHOD              3
2022-11-23T01:32:31.7998113Z               20 LOAD_METHOD              2 (fill_)
2022-11-23T01:32:31.7998209Z               22 LOAD_CONST               3 (123)
2022-11-23T01:32:31.7998299Z               24 CALL_METHOD              1
2022-11-23T01:32:31.7998380Z               26 RETURN_VALUE
2022-11-23T01:32:31.7998444Z  
2022-11-23T01:32:31.7998450Z 
2022-11-23T01:32:31.7998767Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814
2022-11-23T01:32:31.7998991Z [2022-11-23 01:30:05,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.7999321Z [2022-11-23 01:30:05,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.7999596Z [2022-11-23 01:30:05,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T01:32:31.7999891Z [2022-11-23 01:30:05,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T01:32:31.8000221Z [2022-11-23 01:30:05,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8000581Z [2022-11-23 01:30:05,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8000900Z [2022-11-23 01:30:05,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8001255Z [2022-11-23 01:30:05,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.8001638Z [2022-11-23 01:30:05,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8001982Z [2022-11-23 01:30:05,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.8002225Z [2022-11-23 01:30:05,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T01:32:31.8002501Z [2022-11-23 01:30:05,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T01:32:31.8002841Z [2022-11-23 01:30:05,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T01:32:31.8003130Z [2022-11-23 01:30:05,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8003506Z [2022-11-23 01:30:05,602] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813>
2022-11-23T01:32:31.8003746Z [2022-11-23 01:30:05,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8003984Z [2022-11-23 01:30:05,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8004238Z [2022-11-23 01:30:05,603] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8004487Z [2022-11-23 01:30:05,606] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8004685Z [2022-11-23 01:30:05,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8004828Z  __compiled_fn_633 <eval_with_key>.3917 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8004922Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8005083Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T01:32:31.8005198Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T01:32:31.8005299Z output, output, output, ((fill_,),), {}
2022-11-23T01:32:31.8005305Z 
2022-11-23T01:32:31.8005634Z [2022-11-23 01:30:05,607] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8005734Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8005831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8005923Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8006024Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8006116Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8006203Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8006284Z              12 RETURN_VALUE
2022-11-23T01:32:31.8006289Z 
2022-11-23T01:32:31.8006353Z  
2022-11-23T01:32:31.8006675Z [2022-11-23 01:30:05,607] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8006791Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_633)
2022-11-23T01:32:31.8006885Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8006980Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8007064Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8007150Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8007244Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.8007323Z              12 RETURN_VALUE
2022-11-23T01:32:31.8007328Z 
2022-11-23T01:32:31.8007394Z  
2022-11-23T01:32:31.8007582Z [2022-11-23 01:30:05,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8007662Z  - 
2022-11-23T01:32:31.8007785Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8007846Z             {
2022-11-23T01:32:31.8007993Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8008184Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8008308Z                 'obj_weakref': None
2022-11-23T01:32:31.8008533Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8008601Z             }
2022-11-23T01:32:31.8008667Z             
2022-11-23T01:32:31.8008735Z  - 
2022-11-23T01:32:31.8008864Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8008931Z             {
2022-11-23T01:32:31.8009079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8009191Z                 'code': None,
2022-11-23T01:32:31.8009437Z                 'obj_weakref': <weakref at 0x7f1fe03c1760; to 'Tensor' at 0x7f1ffad40590>
2022-11-23T01:32:31.8009720Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8009783Z             }
2022-11-23T01:32:31.8009852Z             
2022-11-23T01:32:31.8009928Z  - 
2022-11-23T01:32:31.8010064Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8010132Z             {
2022-11-23T01:32:31.8010272Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8010446Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.8010563Z                 'obj_weakref': None
2022-11-23T01:32:31.8010795Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8010863Z             }
2022-11-23T01:32:31.8010930Z             
2022-11-23T01:32:31.8011003Z  - 
2022-11-23T01:32:31.8011130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8011201Z             {
2022-11-23T01:32:31.8011337Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8011555Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8011677Z                 'obj_weakref': None
2022-11-23T01:32:31.8011905Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8011974Z             }
2022-11-23T01:32:31.8012041Z             
2022-11-23T01:32:31.8012116Z  - 
2022-11-23T01:32:31.8012245Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8012313Z             {
2022-11-23T01:32:31.8012438Z                 'guard_types': None,
2022-11-23T01:32:31.8012550Z                 'code': None,
2022-11-23T01:32:31.8012672Z                 'obj_weakref': None
2022-11-23T01:32:31.8012797Z                 'guarded_class': None
2022-11-23T01:32:31.8012865Z             }
2022-11-23T01:32:31.8012926Z             
2022-11-23T01:32:31.8013191Z [2022-11-23 01:30:05,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 616
2022-11-23T01:32:31.8013445Z [2022-11-23 01:30:05,617] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.8013812Z [2022-11-23 01:30:05,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zn/cznsptm7i2pjgfd3qjx3wcfcmbqjsl4ecakcqabv3zagn46i7qfy.py
2022-11-23T01:32:31.8014081Z [2022-11-23 01:30:05,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 616
2022-11-23T01:32:31.8014321Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8014644Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8014868Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8015127Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8015404Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8015727Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8016074Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8016394Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8016799Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813> 
2022-11-23T01:32:31.8016922Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8017038Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T01:32:31.8017137Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8017232Z                6 BUILD_LIST               0
2022-11-23T01:32:31.8017330Z                8 LOAD_CONST               1 ((1, 128, 128))
2022-11-23T01:32:31.8017425Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.8017517Z               12 BUILD_LIST               0
2022-11-23T01:32:31.8017626Z               14 LOAD_CONST               2 ((16384, 128, 1))
2022-11-23T01:32:31.8017720Z               16 LIST_EXTEND              1
2022-11-23T01:32:31.8017809Z               18 CALL_METHOD              3
2022-11-23T01:32:31.8017907Z               20 LOAD_METHOD              2 (fill_)
2022-11-23T01:32:31.8017997Z               22 LOAD_CONST               3 (123)
2022-11-23T01:32:31.8018096Z               24 CALL_METHOD              1
2022-11-23T01:32:31.8018180Z               26 RETURN_VALUE
2022-11-23T01:32:31.8018245Z  
2022-11-23T01:32:31.8018250Z 
2022-11-23T01:32:31.8018570Z [2022-11-23 01:30:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814
2022-11-23T01:32:31.8018913Z [2022-11-23 01:30:05,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8019246Z [2022-11-23 01:30:05,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8019517Z [2022-11-23 01:30:05,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T01:32:31.8019819Z [2022-11-23 01:30:05,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T01:32:31.8020150Z [2022-11-23 01:30:05,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8020515Z [2022-11-23 01:30:05,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8020832Z [2022-11-23 01:30:05,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8021183Z [2022-11-23 01:30:05,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.8021564Z [2022-11-23 01:30:05,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8021913Z [2022-11-23 01:30:05,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.8022159Z [2022-11-23 01:30:05,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T01:32:31.8022435Z [2022-11-23 01:30:05,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T01:32:31.8022746Z [2022-11-23 01:30:05,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T01:32:31.8022995Z [2022-11-23 01:30:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8023417Z [2022-11-23 01:30:05,784] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813>
2022-11-23T01:32:31.8023666Z [2022-11-23 01:30:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8023925Z [2022-11-23 01:30:05,784] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8024183Z [2022-11-23 01:30:05,785] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8024433Z [2022-11-23 01:30:05,787] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8024627Z [2022-11-23 01:30:05,788] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8024770Z  __compiled_fn_634 <eval_with_key>.3923 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8024864Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8025039Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T01:32:31.8025205Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T01:32:31.8025332Z output, output, output, ((fill_,),), {}
2022-11-23T01:32:31.8025338Z 
2022-11-23T01:32:31.8025673Z [2022-11-23 01:30:05,788] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8025772Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8025870Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8025966Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8026064Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8026154Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8026259Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8026360Z              12 RETURN_VALUE
2022-11-23T01:32:31.8026368Z 
2022-11-23T01:32:31.8026461Z  
2022-11-23T01:32:31.8026787Z [2022-11-23 01:30:05,788] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8026909Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_634)
2022-11-23T01:32:31.8027005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8027100Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8027182Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8027268Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8027362Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.8027442Z              12 RETURN_VALUE
2022-11-23T01:32:31.8027447Z 
2022-11-23T01:32:31.8027513Z  
2022-11-23T01:32:31.8027701Z [2022-11-23 01:30:05,789] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8027776Z  - 
2022-11-23T01:32:31.8027898Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8027966Z             {
2022-11-23T01:32:31.8028106Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8028301Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8028430Z                 'obj_weakref': None
2022-11-23T01:32:31.8028653Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8028722Z             }
2022-11-23T01:32:31.8028788Z             
2022-11-23T01:32:31.8028862Z  - 
2022-11-23T01:32:31.8028982Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8029054Z             {
2022-11-23T01:32:31.8029200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8029312Z                 'code': None,
2022-11-23T01:32:31.8029524Z                 'obj_weakref': <weakref at 0x7f201e3849a0; to 'Tensor' at 0x7f20727c2430>
2022-11-23T01:32:31.8029772Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8029840Z             }
2022-11-23T01:32:31.8029901Z             
2022-11-23T01:32:31.8029975Z  - 
2022-11-23T01:32:31.8030153Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8030223Z             {
2022-11-23T01:32:31.8030497Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8030684Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.8030807Z                 'obj_weakref': None
2022-11-23T01:32:31.8031030Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8031097Z             }
2022-11-23T01:32:31.8031165Z             
2022-11-23T01:32:31.8031240Z  - 
2022-11-23T01:32:31.8031365Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8031434Z             {
2022-11-23T01:32:31.8031568Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8031797Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8031919Z                 'obj_weakref': None
2022-11-23T01:32:31.8032145Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8032215Z             }
2022-11-23T01:32:31.8032284Z             
2022-11-23T01:32:31.8032359Z  - 
2022-11-23T01:32:31.8032492Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8032552Z             {
2022-11-23T01:32:31.8032676Z                 'guard_types': None,
2022-11-23T01:32:31.8032786Z                 'code': None,
2022-11-23T01:32:31.8032906Z                 'obj_weakref': None
2022-11-23T01:32:31.8033032Z                 'guarded_class': None
2022-11-23T01:32:31.8033100Z             }
2022-11-23T01:32:31.8033159Z             
2022-11-23T01:32:31.8033418Z [2022-11-23 01:30:05,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 617
2022-11-23T01:32:31.8033665Z [2022-11-23 01:30:05,795] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.8034032Z [2022-11-23 01:30:05,855] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/op/copfgn43r2n7xizhgbqexemgbdoxdfq4qmzxl6suyk2fr7wdk5ov.py
2022-11-23T01:32:31.8034297Z [2022-11-23 01:30:05,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 617
2022-11-23T01:32:31.8034303Z 
2022-11-23T01:32:31.8034402Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8034476Z import torch
2022-11-23T01:32:31.8034550Z import random
2022-11-23T01:32:31.8034665Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8034791Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8034797Z 
2022-11-23T01:32:31.8034882Z aten = torch.ops.aten
2022-11-23T01:32:31.8035021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8035124Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8035130Z 
2022-11-23T01:32:31.8035203Z import triton
2022-11-23T01:32:31.8035296Z import triton.language as tl
2022-11-23T01:32:31.8035424Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8035563Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8035571Z 
2022-11-23T01:32:31.8035582Z 
2022-11-23T01:32:31.8035766Z triton_fused_fill__new_empty_strided0 = async_compile.triton('''
2022-11-23T01:32:31.8035841Z import triton
2022-11-23T01:32:31.8035932Z import triton.language as tl
2022-11-23T01:32:31.8036047Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8036148Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8036284Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8036411Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8036417Z 
2022-11-23T01:32:31.8036769Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.8036842Z @triton.jit
2022-11-23T01:32:31.8036964Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8037079Z     xnumel = 16384
2022-11-23T01:32:31.8037178Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8037339Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8037423Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8037487Z     x0 = xindex
2022-11-23T01:32:31.8037561Z     tmp0 = 123
2022-11-23T01:32:31.8037698Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.8037784Z ''')
2022-11-23T01:32:31.8037789Z 
2022-11-23T01:32:31.8037794Z 
2022-11-23T01:32:31.8037887Z async_compile.wait(globals())
2022-11-23T01:32:31.8037965Z del async_compile
2022-11-23T01:32:31.8037970Z 
2022-11-23T01:32:31.8038044Z def call(args):
2022-11-23T01:32:31.8038118Z     arg0_1, = args
2022-11-23T01:32:31.8038187Z     args.clear()
2022-11-23T01:32:31.8038402Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8038493Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8038653Z     triton_fused_fill__new_empty_strided0.run(buf0, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.8038733Z     return (buf0, )
2022-11-23T01:32:31.8038738Z 
2022-11-23T01:32:31.8038743Z 
2022-11-23T01:32:31.8038824Z if __name__ == "__main__":
2022-11-23T01:32:31.8038942Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8039071Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8039262Z     arg0_1 = rand_strided((55, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8039374Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8039379Z 
2022-11-23T01:32:31.8039383Z 
2022-11-23T01:32:31.8039483Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8039563Z import torch
2022-11-23T01:32:31.8039638Z import random
2022-11-23T01:32:31.8039757Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8039881Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8039886Z 
2022-11-23T01:32:31.8039971Z aten = torch.ops.aten
2022-11-23T01:32:31.8040103Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8040200Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8040206Z 
2022-11-23T01:32:31.8040282Z import triton
2022-11-23T01:32:31.8040375Z import triton.language as tl
2022-11-23T01:32:31.8040503Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8040644Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8040650Z 
2022-11-23T01:32:31.8040655Z 
2022-11-23T01:32:31.8040843Z triton_fused_new_empty_strided_fill_0 = async_compile.triton('''
2022-11-23T01:32:31.8040918Z import triton
2022-11-23T01:32:31.8041005Z import triton.language as tl
2022-11-23T01:32:31.8041120Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8041222Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8041359Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8041486Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8041492Z 
2022-11-23T01:32:31.8041847Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.8041920Z @triton.jit
2022-11-23T01:32:31.8042035Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8042111Z     xnumel = 16384
2022-11-23T01:32:31.8042207Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8042337Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8042421Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8042492Z     x0 = xindex
2022-11-23T01:32:31.8042565Z     tmp0 = 123
2022-11-23T01:32:31.8042693Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.8042778Z ''')
2022-11-23T01:32:31.8042783Z 
2022-11-23T01:32:31.8042788Z 
2022-11-23T01:32:31.8042881Z async_compile.wait(globals())
2022-11-23T01:32:31.8042987Z del async_compile
2022-11-23T01:32:31.8043011Z 
2022-11-23T01:32:31.8043087Z def call(args):
2022-11-23T01:32:31.8043161Z     arg0_1, = args
2022-11-23T01:32:31.8043238Z     args.clear()
2022-11-23T01:32:31.8043454Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8043538Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8043692Z     triton_fused_new_empty_strided_fill_0.run(buf0, 16384, grid=grid(16384), stream=stream0)
2022-11-23T01:32:31.8043766Z     return (buf0, )
2022-11-23T01:32:31.8043772Z 
2022-11-23T01:32:31.8043776Z 
2022-11-23T01:32:31.8043858Z if __name__ == "__main__":
2022-11-23T01:32:31.8043976Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8044112Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8044308Z     arg0_1 = rand_strided((55, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8044421Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8044428Z 
2022-11-23T01:32:31.8044493Z ok (0.266s)
2022-11-23T01:32:31.8044804Z   test_new_ones_cuda (__main__.CudaTests) ... [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8045117Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8045339Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8045592Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8045868Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8046184Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8046527Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8046848Z [2022-11-23 01:30:05,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8047217Z [2022-11-23 01:30:05,860] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793> 
2022-11-23T01:32:31.8047313Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8047418Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T01:32:31.8047424Z 
2022-11-23T01:32:31.8047522Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8047618Z                6 BUILD_LIST               0
2022-11-23T01:32:31.8047716Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8047819Z               10 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.8047916Z               12 LOAD_CONST               1 (6)
2022-11-23T01:32:31.8048010Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:31.8048103Z               16 LOAD_CONST               3 (False)
2022-11-23T01:32:31.8048108Z 
2022-11-23T01:32:31.8048317Z 2795          18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:31.8048415Z               20 CALL_FUNCTION_KW         6
2022-11-23T01:32:31.8048420Z 
2022-11-23T01:32:31.8048520Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8048623Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T01:32:31.8048628Z 
2022-11-23T01:32:31.8048723Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8048817Z               28 BUILD_LIST               0
2022-11-23T01:32:31.8048912Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8049033Z               32 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.8049159Z               34 LOAD_CONST               1 (6)
2022-11-23T01:32:31.8049252Z               36 LOAD_CONST               2 (0)
2022-11-23T01:32:31.8049350Z               38 LOAD_CONST               3 (False)
2022-11-23T01:32:31.8049355Z 
2022-11-23T01:32:31.8049563Z 2798          40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:31.8049660Z               42 CALL_FUNCTION_KW         6
2022-11-23T01:32:31.8049666Z 
2022-11-23T01:32:31.8049760Z 2794          44 BUILD_TUPLE              2
2022-11-23T01:32:31.8049842Z               46 RETURN_VALUE
2022-11-23T01:32:31.8049903Z  
2022-11-23T01:32:31.8049907Z 
2022-11-23T01:32:31.8050221Z [2022-11-23 01:30:05,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:31.8058010Z [2022-11-23 01:30:05,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8058362Z [2022-11-23 01:30:05,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8058681Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796
2022-11-23T01:32:31.8059172Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T01:32:31.8059464Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T01:32:31.8059770Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8060113Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.8060453Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:31.8060838Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int)]
2022-11-23T01:32:31.8061249Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8061562Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:31.8062069Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8062569Z [2022-11-23 01:30:05,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8062883Z [2022-11-23 01:30:05,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:31.8063131Z [2022-11-23 01:30:05,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.8063472Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8063852Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799
2022-11-23T01:32:31.8064161Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T01:32:31.8064474Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T01:32:31.8064807Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8065176Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.8065543Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:31.8065979Z [2022-11-23 01:30:05,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int)]
2022-11-23T01:32:31.8066512Z [2022-11-23 01:30:05,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8066832Z [2022-11-23 01:30:05,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:31.8067426Z [2022-11-23 01:30:05,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8067965Z [2022-11-23 01:30:05,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8068272Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794
2022-11-23T01:32:31.8068543Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8068791Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8069173Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793>
2022-11-23T01:32:31.8069428Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8069671Z [2022-11-23 01:30:05,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8069932Z [2022-11-23 01:30:05,876] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8070188Z [2022-11-23 01:30:05,880] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8070457Z [2022-11-23 01:30:05,880] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8070606Z  __compiled_fn_635 <eval_with_key>.3929 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8070704Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8071046Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cuda', index=0), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:31.8071360Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cuda', index=0), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:31.8071484Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T01:32:31.8071490Z 
2022-11-23T01:32:31.8071819Z [2022-11-23 01:30:05,881] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8071922Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8072020Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8072107Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8072208Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8072302Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8072398Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8072482Z              12 RETURN_VALUE
2022-11-23T01:32:31.8072489Z 
2022-11-23T01:32:31.8072552Z  
2022-11-23T01:32:31.8072870Z [2022-11-23 01:30:05,881] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8072988Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_635)
2022-11-23T01:32:31.8073080Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8073177Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8073260Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8073352Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8073465Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8073575Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8073671Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8073747Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8073859Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8073957Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8074038Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8074132Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8074215Z              26 RETURN_VALUE
2022-11-23T01:32:31.8074220Z 
2022-11-23T01:32:31.8074290Z  
2022-11-23T01:32:31.8074471Z [2022-11-23 01:30:05,882] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8074548Z  - 
2022-11-23T01:32:31.8074674Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8074746Z             {
2022-11-23T01:32:31.8074889Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8075080Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8075204Z                 'obj_weakref': None
2022-11-23T01:32:31.8075422Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8075492Z             }
2022-11-23T01:32:31.8075562Z             
2022-11-23T01:32:31.8075644Z  - 
2022-11-23T01:32:31.8075771Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.8075839Z             {
2022-11-23T01:32:31.8075984Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.8076149Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.8076365Z                 'obj_weakref': <weakref at 0x7f1fd8354c70; to 'Tensor' at 0x7f1ffad8fc90>
2022-11-23T01:32:31.8076622Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8076693Z             }
2022-11-23T01:32:31.8076763Z             
2022-11-23T01:32:31.8076837Z  - 
2022-11-23T01:32:31.8076966Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8077028Z             {
2022-11-23T01:32:31.8077178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8077292Z                 'code': None,
2022-11-23T01:32:31.8077536Z                 'obj_weakref': <weakref at 0x7f1fd8354c70; to 'Tensor' at 0x7f1ffad8fc90>
2022-11-23T01:32:31.8077808Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8077877Z             }
2022-11-23T01:32:31.8077947Z             
2022-11-23T01:32:31.8078015Z  - 
2022-11-23T01:32:31.8078151Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8078225Z             {
2022-11-23T01:32:31.8078368Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8078543Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.8078671Z                 'obj_weakref': None
2022-11-23T01:32:31.8078902Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8078965Z             }
2022-11-23T01:32:31.8079035Z             
2022-11-23T01:32:31.8079110Z  - 
2022-11-23T01:32:31.8079239Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8079311Z             {
2022-11-23T01:32:31.8079455Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8079678Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8079794Z                 'obj_weakref': None
2022-11-23T01:32:31.8080017Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8080086Z             }
2022-11-23T01:32:31.8080154Z             
2022-11-23T01:32:31.8080230Z  - 
2022-11-23T01:32:31.8080368Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8080436Z             {
2022-11-23T01:32:31.8080555Z                 'guard_types': None,
2022-11-23T01:32:31.8080668Z                 'code': None,
2022-11-23T01:32:31.8080791Z                 'obj_weakref': None
2022-11-23T01:32:31.8080918Z                 'guarded_class': None
2022-11-23T01:32:31.8080986Z             }
2022-11-23T01:32:31.8081055Z             
2022-11-23T01:32:31.8081324Z [2022-11-23 01:30:05,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 618
2022-11-23T01:32:31.8081574Z [2022-11-23 01:30:05,889] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.8081825Z [2022-11-23 01:30:05,890] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8082193Z [2022-11-23 01:30:06,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ck/ccka5jpd2y5dhvovtkhorlltwco5n676tzdtg7cthzj55sjwyi3d.py
2022-11-23T01:32:31.8082462Z [2022-11-23 01:30:06,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 618
2022-11-23T01:32:31.8082704Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8083026Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8083252Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8083515Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8083797Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8084119Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8084461Z [2022-11-23 01:30:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8084785Z [2022-11-23 01:30:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8085194Z [2022-11-23 01:30:06,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793> 
2022-11-23T01:32:31.8085320Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8085426Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T01:32:31.8085432Z 
2022-11-23T01:32:31.8085530Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8085626Z                6 BUILD_LIST               0
2022-11-23T01:32:31.8085723Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8085828Z               10 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.8085918Z               12 LOAD_CONST               1 (6)
2022-11-23T01:32:31.8086014Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:31.8086115Z               16 LOAD_CONST               3 (False)
2022-11-23T01:32:31.8086121Z 
2022-11-23T01:32:31.8086330Z 2795          18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:31.8086431Z               20 CALL_FUNCTION_KW         6
2022-11-23T01:32:31.8086436Z 
2022-11-23T01:32:31.8086537Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8086641Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T01:32:31.8086646Z 
2022-11-23T01:32:31.8086743Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8086830Z               28 BUILD_LIST               0
2022-11-23T01:32:31.8086923Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8087024Z               32 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.8087120Z               34 LOAD_CONST               1 (6)
2022-11-23T01:32:31.8087214Z               36 LOAD_CONST               2 (0)
2022-11-23T01:32:31.8087313Z               38 LOAD_CONST               3 (False)
2022-11-23T01:32:31.8087318Z 
2022-11-23T01:32:31.8087524Z 2798          40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:31.8087626Z               42 CALL_FUNCTION_KW         6
2022-11-23T01:32:31.8087633Z 
2022-11-23T01:32:31.8087721Z 2794          44 BUILD_TUPLE              2
2022-11-23T01:32:31.8087804Z               46 RETURN_VALUE
2022-11-23T01:32:31.8087870Z  
2022-11-23T01:32:31.8087875Z 
2022-11-23T01:32:31.8088191Z [2022-11-23 01:30:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:31.8088410Z [2022-11-23 01:30:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8088724Z [2022-11-23 01:30:06,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8089038Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796
2022-11-23T01:32:31.8089302Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T01:32:31.8089593Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T01:32:31.8089897Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8090239Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.8090583Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:31.8090983Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int)]
2022-11-23T01:32:31.8091403Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8091736Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:32:31.8092239Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8092733Z [2022-11-23 01:30:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8093049Z [2022-11-23 01:30:06,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:31.8093294Z [2022-11-23 01:30:06,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.8093629Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8093937Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799
2022-11-23T01:32:31.8094220Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T01:32:31.8094530Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T01:32:31.8094894Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8095338Z [2022-11-23 01:30:06,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:31.8095714Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:31.8096124Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int)]
2022-11-23T01:32:31.8096579Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8096899Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:32:31.8097443Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8098013Z [2022-11-23 01:30:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cuda:0), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8098328Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794
2022-11-23T01:32:31.8098643Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8099021Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8099406Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793>
2022-11-23T01:32:31.8099656Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8099889Z [2022-11-23 01:30:06,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8100155Z [2022-11-23 01:30:06,111] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8100414Z [2022-11-23 01:30:06,114] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8100608Z [2022-11-23 01:30:06,114] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8100750Z  __compiled_fn_636 <eval_with_key>.3935 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8100845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8101144Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cuda', index=0), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:31.8101437Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cuda', index=0), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:31.8101559Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T01:32:31.8101565Z 
2022-11-23T01:32:31.8101891Z [2022-11-23 01:30:06,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8101998Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8102095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8102187Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8102286Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8102380Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8102474Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8102559Z              12 RETURN_VALUE
2022-11-23T01:32:31.8102565Z 
2022-11-23T01:32:31.8102623Z  
2022-11-23T01:32:31.8102947Z [2022-11-23 01:30:06,115] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8103064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_636)
2022-11-23T01:32:31.8103161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8103259Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8103343Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8103435Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8103539Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8103647Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8103743Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8103825Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8103934Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8104032Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8104113Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8104205Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8104279Z              26 RETURN_VALUE
2022-11-23T01:32:31.8104284Z 
2022-11-23T01:32:31.8104347Z  
2022-11-23T01:32:31.8104586Z [2022-11-23 01:30:06,115] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8104711Z  - 
2022-11-23T01:32:31.8104836Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8104904Z             {
2022-11-23T01:32:31.8105052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8105234Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8105357Z                 'obj_weakref': None
2022-11-23T01:32:31.8105583Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8105652Z             }
2022-11-23T01:32:31.8105721Z             
2022-11-23T01:32:31.8105801Z  - 
2022-11-23T01:32:31.8105928Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:31.8105989Z             {
2022-11-23T01:32:31.8106130Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.8106303Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:31.8106516Z                 'obj_weakref': <weakref at 0x7f2072857560; to 'Tensor' at 0x7f1fd9a47ce0>
2022-11-23T01:32:31.8106768Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8106836Z             }
2022-11-23T01:32:31.8106904Z             
2022-11-23T01:32:31.8106972Z  - 
2022-11-23T01:32:31.8107097Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8107164Z             {
2022-11-23T01:32:31.8107311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8107422Z                 'code': None,
2022-11-23T01:32:31.8107632Z                 'obj_weakref': <weakref at 0x7f2072857560; to 'Tensor' at 0x7f1fd9a47ce0>
2022-11-23T01:32:31.8107883Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8107944Z             }
2022-11-23T01:32:31.8108012Z             
2022-11-23T01:32:31.8108089Z  - 
2022-11-23T01:32:31.8108224Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8108294Z             {
2022-11-23T01:32:31.8108437Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8108610Z                 'code': ['___check_obj_id(model, 139781086915616)'],
2022-11-23T01:32:31.8108725Z                 'obj_weakref': None
2022-11-23T01:32:31.8108955Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8109025Z             }
2022-11-23T01:32:31.8109098Z             
2022-11-23T01:32:31.8109173Z  - 
2022-11-23T01:32:31.8109297Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8109365Z             {
2022-11-23T01:32:31.8109497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8109713Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8109834Z                 'obj_weakref': None
2022-11-23T01:32:31.8110056Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8110128Z             }
2022-11-23T01:32:31.8110197Z             
2022-11-23T01:32:31.8110345Z  - 
2022-11-23T01:32:31.8110477Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8110545Z             {
2022-11-23T01:32:31.8110672Z                 'guard_types': None,
2022-11-23T01:32:31.8110782Z                 'code': None,
2022-11-23T01:32:31.8110902Z                 'obj_weakref': None
2022-11-23T01:32:31.8111029Z                 'guarded_class': None
2022-11-23T01:32:31.8111097Z             }
2022-11-23T01:32:31.8111158Z             
2022-11-23T01:32:31.8111417Z [2022-11-23 01:30:06,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 619
2022-11-23T01:32:31.8111666Z [2022-11-23 01:30:06,123] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.8111908Z [2022-11-23 01:30:06,124] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8112302Z [2022-11-23 01:30:06,129] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4sj3m65waiz6jdg7s3p7rej7rp3cjtx4chovzjb6o7kosaefml.py
2022-11-23T01:32:31.8112592Z [2022-11-23 01:30:06,129] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 619
2022-11-23T01:32:31.8112598Z 
2022-11-23T01:32:31.8112700Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8112773Z import torch
2022-11-23T01:32:31.8112841Z import random
2022-11-23T01:32:31.8112963Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8113090Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8113096Z 
2022-11-23T01:32:31.8113178Z aten = torch.ops.aten
2022-11-23T01:32:31.8113319Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8113417Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8113422Z 
2022-11-23T01:32:31.8113497Z import triton
2022-11-23T01:32:31.8113582Z import triton.language as tl
2022-11-23T01:32:31.8113712Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8113858Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8113863Z 
2022-11-23T01:32:31.8113868Z 
2022-11-23T01:32:31.8114027Z triton_fused_full0 = async_compile.triton('''
2022-11-23T01:32:31.8114101Z import triton
2022-11-23T01:32:31.8114198Z import triton.language as tl
2022-11-23T01:32:31.8114314Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8114417Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8114546Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8114677Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8114682Z 
2022-11-23T01:32:31.8115036Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8115112Z @triton.jit
2022-11-23T01:32:31.8115241Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8115316Z     xnumel = 1
2022-11-23T01:32:31.8115415Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8115548Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8115625Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8115694Z     tmp0 = 1
2022-11-23T01:32:31.8115831Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8115916Z ''')
2022-11-23T01:32:31.8115921Z 
2022-11-23T01:32:31.8115926Z 
2022-11-23T01:32:31.8116089Z triton_fused_new_zeros1 = async_compile.triton('''
2022-11-23T01:32:31.8116163Z import triton
2022-11-23T01:32:31.8116256Z import triton.language as tl
2022-11-23T01:32:31.8116363Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8116466Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8116601Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8116730Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8116736Z 
2022-11-23T01:32:31.8117088Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8117159Z @triton.jit
2022-11-23T01:32:31.8117280Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8117349Z     xnumel = 1
2022-11-23T01:32:31.8117441Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8117572Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8117657Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8117729Z     tmp0 = 0
2022-11-23T01:32:31.8117864Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8117949Z ''')
2022-11-23T01:32:31.8117955Z 
2022-11-23T01:32:31.8117959Z 
2022-11-23T01:32:31.8118053Z async_compile.wait(globals())
2022-11-23T01:32:31.8118130Z del async_compile
2022-11-23T01:32:31.8118136Z 
2022-11-23T01:32:31.8118231Z def call(args):
2022-11-23T01:32:31.8118325Z     arg0_1, = args
2022-11-23T01:32:31.8118401Z     args.clear()
2022-11-23T01:32:31.8118592Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8118683Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8118814Z     triton_fused_full0.run(buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8119003Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8119134Z     triton_fused_new_zeros1.run(buf1, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8119216Z     return (buf0, buf1, )
2022-11-23T01:32:31.8119222Z 
2022-11-23T01:32:31.8119227Z 
2022-11-23T01:32:31.8119307Z if __name__ == "__main__":
2022-11-23T01:32:31.8119426Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8119558Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8119755Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8119868Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8119876Z 
2022-11-23T01:32:31.8119881Z 
2022-11-23T01:32:31.8119980Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8120047Z import torch
2022-11-23T01:32:31.8120121Z import random
2022-11-23T01:32:31.8120241Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8120365Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8120370Z 
2022-11-23T01:32:31.8120452Z aten = torch.ops.aten
2022-11-23T01:32:31.8120594Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8120689Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8120694Z 
2022-11-23T01:32:31.8120771Z import triton
2022-11-23T01:32:31.8120856Z import triton.language as tl
2022-11-23T01:32:31.8120980Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8121121Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8121127Z 
2022-11-23T01:32:31.8121134Z 
2022-11-23T01:32:31.8121291Z triton_fused_full0 = async_compile.triton('''
2022-11-23T01:32:31.8121365Z import triton
2022-11-23T01:32:31.8121458Z import triton.language as tl
2022-11-23T01:32:31.8121571Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8121667Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8121801Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8121929Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8121934Z 
2022-11-23T01:32:31.8122288Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8122360Z @triton.jit
2022-11-23T01:32:31.8122483Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8122556Z     xnumel = 1
2022-11-23T01:32:31.8122656Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8122781Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8122871Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8122941Z     tmp0 = 1
2022-11-23T01:32:31.8123079Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8123167Z ''')
2022-11-23T01:32:31.8123172Z 
2022-11-23T01:32:31.8123177Z 
2022-11-23T01:32:31.8123339Z triton_fused_new_zeros1 = async_compile.triton('''
2022-11-23T01:32:31.8123415Z import triton
2022-11-23T01:32:31.8123508Z import triton.language as tl
2022-11-23T01:32:31.8123615Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8123718Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8123854Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8123981Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8123986Z 
2022-11-23T01:32:31.8124359Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8124453Z @triton.jit
2022-11-23T01:32:31.8124577Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8124644Z     xnumel = 1
2022-11-23T01:32:31.8124741Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8124872Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8124955Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8125026Z     tmp0 = 0
2022-11-23T01:32:31.8125160Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8125248Z ''')
2022-11-23T01:32:31.8125253Z 
2022-11-23T01:32:31.8125257Z 
2022-11-23T01:32:31.8125351Z async_compile.wait(globals())
2022-11-23T01:32:31.8125421Z del async_compile
2022-11-23T01:32:31.8125426Z 
2022-11-23T01:32:31.8125502Z def call(args):
2022-11-23T01:32:31.8125576Z     arg0_1, = args
2022-11-23T01:32:31.8125652Z     args.clear()
2022-11-23T01:32:31.8125844Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8125939Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8126069Z     triton_fused_full0.run(buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8126249Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8126386Z     triton_fused_new_zeros1.run(buf1, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8126469Z     return (buf0, buf1, )
2022-11-23T01:32:31.8126474Z 
2022-11-23T01:32:31.8126479Z 
2022-11-23T01:32:31.8126560Z if __name__ == "__main__":
2022-11-23T01:32:31.8126678Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8126807Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8127002Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8127115Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8127120Z 
2022-11-23T01:32:31.8127185Z ok (0.274s)
2022-11-23T01:32:31.8127508Z   test_nll_loss_forward_cuda (__main__.CudaTests) ... [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8127832Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8128057Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8128316Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8128599Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8128919Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8129323Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8129693Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8130065Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342> 
2022-11-23T01:32:31.8130160Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8130276Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T01:32:31.8130373Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8130469Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.8130569Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.8130664Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:31.8130848Z               12 LOAD_CONST               2 (-100)
2022-11-23T01:32:31.8130962Z               14 CALL_METHOD              5
2022-11-23T01:32:31.8131036Z               16 RETURN_VALUE
2022-11-23T01:32:31.8131105Z  
2022-11-23T01:32:31.8131110Z 
2022-11-23T01:32:31.8131425Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343
2022-11-23T01:32:31.8131645Z [2022-11-23 01:30:06,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8131967Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8132240Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T01:32:31.8132543Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T01:32:31.8132877Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8133250Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.8133660Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:31.8134100Z [2022-11-23 01:30:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8134355Z [2022-11-23 01:30:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8134741Z [2022-11-23 01:30:06,144] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342>
2022-11-23T01:32:31.8134991Z [2022-11-23 01:30:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8135231Z [2022-11-23 01:30:06,144] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8135490Z [2022-11-23 01:30:06,145] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8135744Z [2022-11-23 01:30:06,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8135938Z [2022-11-23 01:30:06,149] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8136082Z  __compiled_fn_637 <eval_with_key>.3941 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8136183Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8136268Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.8136493Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T01:32:31.8136707Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T01:32:31.8136919Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T01:32:31.8137038Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.8137043Z 
2022-11-23T01:32:31.8137374Z [2022-11-23 01:30:06,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8137474Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8137573Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8137659Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8137789Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8137901Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8137995Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8138075Z              12 RETURN_VALUE
2022-11-23T01:32:31.8138080Z 
2022-11-23T01:32:31.8138146Z  
2022-11-23T01:32:31.8138464Z [2022-11-23 01:30:06,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8138575Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_637)
2022-11-23T01:32:31.8138671Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8138766Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8138977Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8139072Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8139164Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8139248Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.8139344Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.8139451Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8139561Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8139656Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8139738Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8139846Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8139939Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8140019Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.8140104Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.8140184Z              32 RETURN_VALUE
2022-11-23T01:32:31.8140189Z 
2022-11-23T01:32:31.8140254Z  
2022-11-23T01:32:31.8140444Z [2022-11-23 01:30:06,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8140519Z  - 
2022-11-23T01:32:31.8140642Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8140714Z             {
2022-11-23T01:32:31.8140855Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8141045Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.8141168Z                 'obj_weakref': None
2022-11-23T01:32:31.8141391Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8141460Z             }
2022-11-23T01:32:31.8141529Z             
2022-11-23T01:32:31.8141605Z  - 
2022-11-23T01:32:31.8141725Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8141793Z             {
2022-11-23T01:32:31.8141939Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8142049Z                 'code': None,
2022-11-23T01:32:31.8142265Z                 'obj_weakref': <weakref at 0x7f1fd9aa90d0; to 'Tensor' at 0x7f201e238b80>
2022-11-23T01:32:31.8142517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8142587Z             }
2022-11-23T01:32:31.8142650Z             
2022-11-23T01:32:31.8142724Z  - 
2022-11-23T01:32:31.8142850Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.8142918Z             {
2022-11-23T01:32:31.8143064Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8143175Z                 'code': None,
2022-11-23T01:32:31.8143389Z                 'obj_weakref': <weakref at 0x7f1fd9aa9df0; to 'Tensor' at 0x7f201e23b650>
2022-11-23T01:32:31.8143630Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8143699Z             }
2022-11-23T01:32:31.8143770Z             
2022-11-23T01:32:31.8143844Z  - 
2022-11-23T01:32:31.8143978Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8144046Z             {
2022-11-23T01:32:31.8144186Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8144404Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8144551Z                 'obj_weakref': None
2022-11-23T01:32:31.8144784Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8144856Z             }
2022-11-23T01:32:31.8144927Z             
2022-11-23T01:32:31.8145003Z  - 
2022-11-23T01:32:31.8145129Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8145190Z             {
2022-11-23T01:32:31.8145331Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8145551Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8145673Z                 'obj_weakref': None
2022-11-23T01:32:31.8145899Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8145969Z             }
2022-11-23T01:32:31.8146039Z             
2022-11-23T01:32:31.8146107Z  - 
2022-11-23T01:32:31.8146245Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8146314Z             {
2022-11-23T01:32:31.8146441Z                 'guard_types': None,
2022-11-23T01:32:31.8146552Z                 'code': None,
2022-11-23T01:32:31.8146674Z                 'obj_weakref': None
2022-11-23T01:32:31.8146797Z                 'guarded_class': None
2022-11-23T01:32:31.8146857Z             }
2022-11-23T01:32:31.8146920Z             
2022-11-23T01:32:31.8147183Z [2022-11-23 01:30:06,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 620
2022-11-23T01:32:31.8147695Z [2022-11-23 01:30:06,168] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.8147942Z [2022-11-23 01:30:06,170] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.8148310Z [2022-11-23 01:30:06,344] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/in/cinxnljv73jnqfknzs34za377pgczrkqztxuv6peiabyqjmdpvrk.py
2022-11-23T01:32:31.8148577Z [2022-11-23 01:30:06,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 620
2022-11-23T01:32:31.8148815Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8149133Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8149349Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8149605Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8149888Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8150212Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8150645Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8150970Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8151347Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342> 
2022-11-23T01:32:31.8151450Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8151565Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T01:32:31.8151662Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8151786Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.8151914Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:31.8152011Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:31.8152163Z               12 LOAD_CONST               2 (-100)
2022-11-23T01:32:31.8152258Z               14 CALL_METHOD              5
2022-11-23T01:32:31.8152341Z               16 RETURN_VALUE
2022-11-23T01:32:31.8152408Z  
2022-11-23T01:32:31.8152414Z 
2022-11-23T01:32:31.8152721Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343
2022-11-23T01:32:31.8152941Z [2022-11-23 01:30:06,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8153262Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8153535Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T01:32:31.8153832Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T01:32:31.8154162Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8154534Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:31.8154947Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:31.8155395Z [2022-11-23 01:30:06,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8155649Z [2022-11-23 01:30:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8156029Z [2022-11-23 01:30:06,357] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342>
2022-11-23T01:32:31.8156278Z [2022-11-23 01:30:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8156511Z [2022-11-23 01:30:06,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8156771Z [2022-11-23 01:30:06,358] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8157027Z [2022-11-23 01:30:06,362] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8157225Z [2022-11-23 01:30:06,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8157367Z  __compiled_fn_638 <eval_with_key>.3947 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8157461Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8157554Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.8157776Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T01:32:31.8157980Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T01:32:31.8158190Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T01:32:31.8158310Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:31.8158315Z 
2022-11-23T01:32:31.8158638Z [2022-11-23 01:30:06,363] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8158768Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8158886Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8158979Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8159078Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8159163Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8159257Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8159338Z              12 RETURN_VALUE
2022-11-23T01:32:31.8159344Z 
2022-11-23T01:32:31.8159409Z  
2022-11-23T01:32:31.8159728Z [2022-11-23 01:30:06,363] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8159846Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_638)
2022-11-23T01:32:31.8159942Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8160038Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8160115Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8160211Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8160304Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8160384Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.8160480Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.8160592Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8160700Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8160789Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8160871Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8160979Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8161073Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8161155Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.8161251Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.8161330Z              32 RETURN_VALUE
2022-11-23T01:32:31.8161336Z 
2022-11-23T01:32:31.8161395Z  
2022-11-23T01:32:31.8161584Z [2022-11-23 01:30:06,364] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8161662Z  - 
2022-11-23T01:32:31.8161786Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8161854Z             {
2022-11-23T01:32:31.8161998Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8162187Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.8162304Z                 'obj_weakref': None
2022-11-23T01:32:31.8162528Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8162599Z             }
2022-11-23T01:32:31.8162666Z             
2022-11-23T01:32:31.8162744Z  - 
2022-11-23T01:32:31.8162871Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8162937Z             {
2022-11-23T01:32:31.8163076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8163186Z                 'code': None,
2022-11-23T01:32:31.8163397Z                 'obj_weakref': <weakref at 0x7f2152058040; to 'Tensor' at 0x7f1ffade53a0>
2022-11-23T01:32:31.8163650Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8163718Z             }
2022-11-23T01:32:31.8163786Z             
2022-11-23T01:32:31.8163862Z  - 
2022-11-23T01:32:31.8163981Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.8164049Z             {
2022-11-23T01:32:31.8164195Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8164333Z                 'code': None,
2022-11-23T01:32:31.8164620Z                 'obj_weakref': <weakref at 0x7f1fd9aa9df0; to 'Tensor' at 0x7f201e23b650>
2022-11-23T01:32:31.8164876Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8164945Z             }
2022-11-23T01:32:31.8165006Z             
2022-11-23T01:32:31.8165082Z  - 
2022-11-23T01:32:31.8165256Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8165345Z             {
2022-11-23T01:32:31.8165487Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8165662Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8165786Z                 'obj_weakref': None
2022-11-23T01:32:31.8166010Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8166080Z             }
2022-11-23T01:32:31.8166147Z             
2022-11-23T01:32:31.8166224Z  - 
2022-11-23T01:32:31.8166350Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8166419Z             {
2022-11-23T01:32:31.8166560Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8166771Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8166893Z                 'obj_weakref': None
2022-11-23T01:32:31.8167119Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8167191Z             }
2022-11-23T01:32:31.8167257Z             
2022-11-23T01:32:31.8167334Z  - 
2022-11-23T01:32:31.8167469Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8167530Z             {
2022-11-23T01:32:31.8167655Z                 'guard_types': None,
2022-11-23T01:32:31.8167766Z                 'code': None,
2022-11-23T01:32:31.8167888Z                 'obj_weakref': None
2022-11-23T01:32:31.8168015Z                 'guarded_class': None
2022-11-23T01:32:31.8168083Z             }
2022-11-23T01:32:31.8168151Z             
2022-11-23T01:32:31.8168409Z [2022-11-23 01:30:06,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 621
2022-11-23T01:32:31.8168926Z [2022-11-23 01:30:06,380] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:31.8169141Z [2022-11-23 01:30:06,382] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:31.8169394Z [2022-11-23 01:30:06,383] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.8169762Z [2022-11-23 01:30:06,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ve/cvenncog55dw7oh6pkabcoogtxhebrjpxdwuoh6exjctbzmatdpc.py
2022-11-23T01:32:31.8170027Z [2022-11-23 01:30:06,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 621
2022-11-23T01:32:31.8170032Z 
2022-11-23T01:32:31.8170133Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8170208Z import torch
2022-11-23T01:32:31.8170282Z import random
2022-11-23T01:32:31.8170395Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8170522Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8170528Z 
2022-11-23T01:32:31.8170610Z aten = torch.ops.aten
2022-11-23T01:32:31.8170751Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8170851Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8170856Z 
2022-11-23T01:32:31.8170931Z import triton
2022-11-23T01:32:31.8171024Z import triton.language as tl
2022-11-23T01:32:31.8171144Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8171290Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8171295Z 
2022-11-23T01:32:31.8171300Z 
2022-11-23T01:32:31.8171508Z triton_fused_mean_neg_unsqueeze_gather_squeeze0 = async_compile.triton('''
2022-11-23T01:32:31.8171582Z import triton
2022-11-23T01:32:31.8171676Z import triton.language as tl
2022-11-23T01:32:31.8171793Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8171901Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8172034Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.8172157Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8172193Z 
2022-11-23T01:32:31.8172305Z @reduction(size_hints=[1, 8],
2022-11-23T01:32:31.8172423Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.8172509Z               filename=__file__,
2022-11-23T01:32:31.8172849Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.8172923Z @triton.jit
2022-11-23T01:32:31.8173106Z def kernel(in_out_ptr0, in_ptr0, in_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.8173180Z     xnumel = 1
2022-11-23T01:32:31.8173246Z     rnumel = 5
2022-11-23T01:32:31.8173345Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8173482Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.8173567Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8173688Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.8173812Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.8173920Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.8174002Z         rindex = roffset + rbase
2022-11-23T01:32:31.8174088Z         rmask = rindex < rnumel
2022-11-23T01:32:31.8174160Z         r0 = rindex
2022-11-23T01:32:31.8174357Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.8174638Z         tmp1 = tl.load(in_ptr1 + (tmp0 + (5*r0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.8174744Z         tmp2 = -tmp1
2022-11-23T01:32:31.8174868Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:31.8174977Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.8175050Z     tmp4 = 5
2022-11-23T01:32:31.8175131Z     tmp5 = tmp3 / tmp4
2022-11-23T01:32:31.8175271Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp5, None)
2022-11-23T01:32:31.8175358Z ''')
2022-11-23T01:32:31.8175366Z 
2022-11-23T01:32:31.8175371Z 
2022-11-23T01:32:31.8175527Z triton_fused_full1 = async_compile.triton('''
2022-11-23T01:32:31.8175603Z import triton
2022-11-23T01:32:31.8175697Z import triton.language as tl
2022-11-23T01:32:31.8175805Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8175908Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8176044Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8176171Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8176176Z 
2022-11-23T01:32:31.8176530Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8176601Z @triton.jit
2022-11-23T01:32:31.8176726Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8176802Z     xnumel = 1
2022-11-23T01:32:31.8176898Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8177032Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8177116Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8177189Z     tmp0 = 5.0
2022-11-23T01:32:31.8177326Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8177411Z ''')
2022-11-23T01:32:31.8177417Z 
2022-11-23T01:32:31.8177421Z 
2022-11-23T01:32:31.8177515Z async_compile.wait(globals())
2022-11-23T01:32:31.8177586Z del async_compile
2022-11-23T01:32:31.8177591Z 
2022-11-23T01:32:31.8177665Z def call(args):
2022-11-23T01:32:31.8177746Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.8177824Z     args.clear()
2022-11-23T01:32:31.8178013Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8178105Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.8178194Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8178399Z     triton_fused_mean_neg_unsqueeze_gather_squeeze0.run(buf1, arg1_1, arg0_1, 1, 5, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8178494Z     del arg0_1
2022-11-23T01:32:31.8178568Z     del arg1_1
2022-11-23T01:32:31.8178753Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8179020Z     triton_fused_full1.run(buf2, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8179105Z     return (buf1, buf2, )
2022-11-23T01:32:31.8179110Z 
2022-11-23T01:32:31.8179115Z 
2022-11-23T01:32:31.8179197Z if __name__ == "__main__":
2022-11-23T01:32:31.8179315Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8179437Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8179638Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8179832Z     arg1_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.8179952Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.8179957Z 
2022-11-23T01:32:31.8179965Z 
2022-11-23T01:32:31.8180066Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8180144Z import torch
2022-11-23T01:32:31.8180218Z import random
2022-11-23T01:32:31.8180339Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8180456Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8180461Z 
2022-11-23T01:32:31.8180543Z aten = torch.ops.aten
2022-11-23T01:32:31.8180683Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8180780Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8180785Z 
2022-11-23T01:32:31.8180859Z import triton
2022-11-23T01:32:31.8180952Z import triton.language as tl
2022-11-23T01:32:31.8181079Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8181213Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8181226Z 
2022-11-23T01:32:31.8181230Z 
2022-11-23T01:32:31.8181430Z triton_fused_gather_unsqueeze_neg_squeeze_mean0 = async_compile.triton('''
2022-11-23T01:32:31.8181509Z import triton
2022-11-23T01:32:31.8181605Z import triton.language as tl
2022-11-23T01:32:31.8181720Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8181823Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8181956Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.8182083Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8182089Z 
2022-11-23T01:32:31.8182198Z @reduction(size_hints=[1, 8],
2022-11-23T01:32:31.8182356Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.8182465Z               filename=__file__,
2022-11-23T01:32:31.8182809Z               meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.8182882Z @triton.jit
2022-11-23T01:32:31.8183068Z def kernel(in_ptr0, in_ptr1, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.8183142Z     xnumel = 1
2022-11-23T01:32:31.8183218Z     rnumel = 5
2022-11-23T01:32:31.8183310Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8183449Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.8183535Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8183655Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.8183774Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.8183881Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.8183971Z         rindex = roffset + rbase
2022-11-23T01:32:31.8184051Z         rmask = rindex < rnumel
2022-11-23T01:32:31.8184123Z         r0 = rindex
2022-11-23T01:32:31.8184320Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.8184679Z         tmp1 = tl.load(in_ptr1 + (tmp0 + (5*r0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.8184787Z         tmp2 = -tmp1
2022-11-23T01:32:31.8184908Z         tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:31.8185031Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:31.8185140Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:31.8185213Z     tmp5 = 5
2022-11-23T01:32:31.8185293Z     tmp6 = tmp4 / tmp5
2022-11-23T01:32:31.8185383Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:31.8185518Z     tl.store(out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp7, None)
2022-11-23T01:32:31.8185605Z ''')
2022-11-23T01:32:31.8185611Z 
2022-11-23T01:32:31.8185615Z 
2022-11-23T01:32:31.8185771Z triton_fused_full1 = async_compile.triton('''
2022-11-23T01:32:31.8185846Z import triton
2022-11-23T01:32:31.8185931Z import triton.language as tl
2022-11-23T01:32:31.8186049Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8186151Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8186290Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8186416Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8186423Z 
2022-11-23T01:32:31.8186778Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:31.8186850Z @triton.jit
2022-11-23T01:32:31.8186977Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8187044Z     xnumel = 1
2022-11-23T01:32:31.8187141Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8187273Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8187357Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8187431Z     tmp0 = 5.0
2022-11-23T01:32:31.8187566Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:31.8187652Z ''')
2022-11-23T01:32:31.8187658Z 
2022-11-23T01:32:31.8187662Z 
2022-11-23T01:32:31.8187751Z async_compile.wait(globals())
2022-11-23T01:32:31.8187829Z del async_compile
2022-11-23T01:32:31.8187836Z 
2022-11-23T01:32:31.8187913Z def call(args):
2022-11-23T01:32:31.8187991Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.8188067Z     args.clear()
2022-11-23T01:32:31.8188257Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8188351Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8188523Z     triton_fused_gather_unsqueeze_neg_squeeze_mean0.run(arg1_1, arg0_1, buf1, 1, 5, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8188596Z     del arg0_1
2022-11-23T01:32:31.8188668Z     del arg1_1
2022-11-23T01:32:31.8188849Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8188978Z     triton_fused_full1.run(buf2, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.8189061Z     return (buf1, buf2, )
2022-11-23T01:32:31.8189066Z 
2022-11-23T01:32:31.8189071Z 
2022-11-23T01:32:31.8189151Z if __name__ == "__main__":
2022-11-23T01:32:31.8189275Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8189397Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8189596Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8189787Z     arg1_1 = rand_strided((5, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.8189908Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.8189913Z 
2022-11-23T01:32:31.8189984Z ok (0.329s)
2022-11-23T01:32:31.8190403Z   test_no_mega_fusion_during_lowering_cuda (__main__.CudaTests) ... [2022-11-23 01:30:06,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8190745Z [2022-11-23 01:30:06,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8190968Z [2022-11-23 01:30:06,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8191261Z [2022-11-23 01:30:06,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8191554Z [2022-11-23 01:30:06,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8191873Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8192213Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8192532Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8192906Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eac450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405> 
2022-11-23T01:32:31.8193009Z  2406           0 LOAD_FAST                0 (args)
2022-11-23T01:32:31.8193105Z                2 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8193192Z                4 BINARY_SUBSCR
2022-11-23T01:32:31.8193290Z                6 STORE_FAST               1 (x)
2022-11-23T01:32:31.8193295Z 
2022-11-23T01:32:31.8193387Z 2407           8 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:31.8193484Z               10 LOAD_DEREF               0 (n)
2022-11-23T01:32:31.8193580Z               12 CALL_FUNCTION            1
2022-11-23T01:32:31.8193656Z               14 GET_ITER
2022-11-23T01:32:31.8193754Z          >>   16 FOR_ITER                10 (to 38)
2022-11-23T01:32:31.8193849Z               18 STORE_FAST               2 (i)
2022-11-23T01:32:31.8193854Z 
2022-11-23T01:32:31.8193954Z 2408          20 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.8194051Z               22 LOAD_METHOD              2 (add)
2022-11-23T01:32:31.8194142Z               24 LOAD_FAST                1 (x)
2022-11-23T01:32:31.8194245Z               26 LOAD_FAST                0 (args)
2022-11-23T01:32:31.8194338Z               28 LOAD_FAST                2 (i)
2022-11-23T01:32:31.8194421Z               30 BINARY_SUBSCR
2022-11-23T01:32:31.8194515Z               32 CALL_METHOD              2
2022-11-23T01:32:31.8194610Z               34 STORE_FAST               1 (x)
2022-11-23T01:32:31.8194709Z               36 JUMP_ABSOLUTE            8 (to 16)
2022-11-23T01:32:31.8194715Z 
2022-11-23T01:32:31.8194799Z 2409     >>   38 LOAD_FAST                1 (x)
2022-11-23T01:32:31.8194881Z               40 RETURN_VALUE
2022-11-23T01:32:31.8194946Z  
2022-11-23T01:32:31.8194951Z 
2022-11-23T01:32:31.8195267Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2406
2022-11-23T01:32:31.8195485Z [2022-11-23 01:30:06,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args []
2022-11-23T01:32:31.8195730Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:31.8196020Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8196261Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:31.8196567Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2407
2022-11-23T01:32:31.8196783Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range []
2022-11-23T01:32:31.8197035Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)]
2022-11-23T01:32:31.8197351Z [2022-11-23 01:30:06,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:31.8197593Z [2022-11-23 01:30:06,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()]
2022-11-23T01:32:31.8197877Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8198168Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8198482Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2408
2022-11-23T01:32:31.8198743Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8199144Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8199504Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8199882Z [2022-11-23 01:30:06,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8200286Z [2022-11-23 01:30:06,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8200740Z [2022-11-23 01:30:06,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8201157Z [2022-11-23 01:30:06,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8201438Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8201696Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8201950Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8202239Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8202500Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8202901Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8203253Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8203627Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8204022Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8204515Z [2022-11-23 01:30:06,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8204942Z [2022-11-23 01:30:06,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8205549Z [2022-11-23 01:30:06,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8206030Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8206485Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8206970Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8207451Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8208057Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8208709Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8209348Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8210017Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8210762Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8211499Z [2022-11-23 01:30:06,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8212067Z [2022-11-23 01:30:06,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8212542Z [2022-11-23 01:30:06,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8212994Z [2022-11-23 01:30:06,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8213488Z [2022-11-23 01:30:06,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8214068Z [2022-11-23 01:30:06,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8214742Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8215388Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8216027Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8216747Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8217502Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8218236Z [2022-11-23 01:30:06,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8218935Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8219410Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8219867Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8220354Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8220834Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8221436Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8222086Z [2022-11-23 01:30:06,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8222723Z [2022-11-23 01:30:06,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8223398Z [2022-11-23 01:30:06,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8224132Z [2022-11-23 01:30:06,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8224867Z [2022-11-23 01:30:06,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8225439Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8225911Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8226370Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8226854Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8227334Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8227935Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8228575Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8229258Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8229964Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8230839Z [2022-11-23 01:30:06,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8231573Z [2022-11-23 01:30:06,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8232151Z [2022-11-23 01:30:06,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8232622Z [2022-11-23 01:30:06,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8233075Z [2022-11-23 01:30:06,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8233562Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8234046Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8234839Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8235515Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8236160Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8236839Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8237577Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8238304Z [2022-11-23 01:30:06,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8238880Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8239359Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8239820Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8240307Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8240790Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8241403Z [2022-11-23 01:30:06,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8242101Z [2022-11-23 01:30:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8242761Z [2022-11-23 01:30:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8243429Z [2022-11-23 01:30:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8244159Z [2022-11-23 01:30:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8244890Z [2022-11-23 01:30:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8245463Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8245939Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8246385Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8246867Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8247346Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8247952Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8248594Z [2022-11-23 01:30:06,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8249226Z [2022-11-23 01:30:06,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8249898Z [2022-11-23 01:30:06,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8250636Z [2022-11-23 01:30:06,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8251368Z [2022-11-23 01:30:06,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8251933Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8252407Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8252860Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8253351Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8253826Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8254468Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8255141Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8255786Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8256459Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8257205Z [2022-11-23 01:30:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8257941Z [2022-11-23 01:30:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8258509Z [2022-11-23 01:30:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8259110Z [2022-11-23 01:30:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8259563Z [2022-11-23 01:30:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8260052Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8260538Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8261148Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8261795Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8262442Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8263124Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8263862Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8264600Z [2022-11-23 01:30:06,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8265163Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8265712Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8266347Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8267243Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8267987Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8268903Z [2022-11-23 01:30:06,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8269819Z [2022-11-23 01:30:06,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8270590Z [2022-11-23 01:30:06,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8271273Z [2022-11-23 01:30:06,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8272009Z [2022-11-23 01:30:06,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8272745Z [2022-11-23 01:30:06,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8273319Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8273795Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8274254Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8274739Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8275224Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8275830Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8276479Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8277111Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8277786Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8278525Z [2022-11-23 01:30:06,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8279253Z [2022-11-23 01:30:06,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8279825Z [2022-11-23 01:30:06,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8280343Z [2022-11-23 01:30:06,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8280835Z [2022-11-23 01:30:06,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8281321Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8281803Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8282402Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8283044Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8283681Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8284356Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8285096Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8285816Z [2022-11-23 01:30:06,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8286388Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8286869Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8287324Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8287802Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8288287Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8288889Z [2022-11-23 01:30:06,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8289535Z [2022-11-23 01:30:06,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8290183Z [2022-11-23 01:30:06,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8290850Z [2022-11-23 01:30:06,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8291591Z [2022-11-23 01:30:06,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8292357Z [2022-11-23 01:30:06,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8292951Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8293432Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8293884Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8294375Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8294861Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8295478Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8296124Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8296769Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8297447Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8298183Z [2022-11-23 01:30:06,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8299045Z [2022-11-23 01:30:06,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8299617Z [2022-11-23 01:30:06,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8300091Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8300546Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8301135Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8301814Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8302526Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8303342Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8303985Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8304654Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8305469Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8306233Z [2022-11-23 01:30:06,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8306810Z [2022-11-23 01:30:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8307286Z [2022-11-23 01:30:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8307735Z [2022-11-23 01:30:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8308223Z [2022-11-23 01:30:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8308711Z [2022-11-23 01:30:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8309321Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8309962Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8310726Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8311736Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8312486Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8313233Z [2022-11-23 01:30:06,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8313800Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8314279Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8314733Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8315227Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8315705Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8316310Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8316954Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8317594Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8318312Z [2022-11-23 01:30:06,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8319073Z [2022-11-23 01:30:06,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8319815Z [2022-11-23 01:30:06,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8320445Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8321094Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8321683Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8322178Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8322670Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8323290Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8323944Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8324576Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8325259Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8325997Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8326729Z [2022-11-23 01:30:06,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8327304Z [2022-11-23 01:30:06,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8327782Z [2022-11-23 01:30:06,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8328238Z [2022-11-23 01:30:06,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8328724Z [2022-11-23 01:30:06,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8329209Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8329805Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8330453Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8331132Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8331832Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8332580Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8333303Z [2022-11-23 01:30:06,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8333875Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8334352Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8334810Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8335292Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8335777Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8336381Z [2022-11-23 01:30:06,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8337025Z [2022-11-23 01:30:06,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8337667Z [2022-11-23 01:30:06,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8338336Z [2022-11-23 01:30:06,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8339210Z [2022-11-23 01:30:06,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8339946Z [2022-11-23 01:30:06,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8340521Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8340992Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8341448Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8341936Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8342427Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8343032Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8343730Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8344410Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8345097Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8345843Z [2022-11-23 01:30:06,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8346584Z [2022-11-23 01:30:06,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8347157Z [2022-11-23 01:30:06,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8347639Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8348099Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8348595Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8349075Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8349691Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8350435Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8351107Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8351780Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8352525Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8353261Z [2022-11-23 01:30:06,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8353835Z [2022-11-23 01:30:06,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8354315Z [2022-11-23 01:30:06,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8354765Z [2022-11-23 01:30:06,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8355254Z [2022-11-23 01:30:06,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8355895Z [2022-11-23 01:30:06,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8356675Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8357397Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8358136Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8358822Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8359575Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8360315Z [2022-11-23 01:30:06,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8360881Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8361365Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8361828Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8362331Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8362809Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8363426Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8364078Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8364724Z [2022-11-23 01:30:06,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8365409Z [2022-11-23 01:30:06,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8366154Z [2022-11-23 01:30:06,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8366886Z [2022-11-23 01:30:06,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8367459Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8367939Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8368398Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8368924Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8369442Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8370045Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8370693Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8371330Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8372018Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8372771Z [2022-11-23 01:30:06,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8373517Z [2022-11-23 01:30:06,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8374095Z [2022-11-23 01:30:06,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8374574Z [2022-11-23 01:30:06,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8375036Z [2022-11-23 01:30:06,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8375533Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8376022Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8376631Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8377281Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8377931Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8378618Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8379485Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8380400Z [2022-11-23 01:30:06,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8381056Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8381765Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8382279Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8382760Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8383245Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8383864Z [2022-11-23 01:30:06,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8384524Z [2022-11-23 01:30:06,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8385162Z [2022-11-23 01:30:06,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8385842Z [2022-11-23 01:30:06,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8386586Z [2022-11-23 01:30:06,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8387320Z [2022-11-23 01:30:06,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8387901Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8388377Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8388835Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8389327Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8389815Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8390506Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8391171Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8391811Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8392493Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8393233Z [2022-11-23 01:30:06,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8394000Z [2022-11-23 01:30:06,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8394611Z [2022-11-23 01:30:06,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8395091Z [2022-11-23 01:30:06,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8395548Z [2022-11-23 01:30:06,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8396036Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8396515Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8397128Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8397785Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8398437Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8399115Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8399871Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8400604Z [2022-11-23 01:30:06,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8401183Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8401661Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8402120Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8402610Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8403096Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8403709Z [2022-11-23 01:30:06,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8404351Z [2022-11-23 01:30:06,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8404998Z [2022-11-23 01:30:06,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8405679Z [2022-11-23 01:30:06,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8406447Z [2022-11-23 01:30:06,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8407210Z [2022-11-23 01:30:06,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8407778Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8408258Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8408717Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8409212Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8409818Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8410658Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8411363Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8412112Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8412867Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8413604Z [2022-11-23 01:30:06,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8414342Z [2022-11-23 01:30:06,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8414915Z [2022-11-23 01:30:06,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8415393Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8415843Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8416338Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8416826Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8417433Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8418078Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8418714Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8419590Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8420371Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8421107Z [2022-11-23 01:30:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8421683Z [2022-11-23 01:30:06,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8422154Z [2022-11-23 01:30:06,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8422665Z [2022-11-23 01:30:06,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8423158Z [2022-11-23 01:30:06,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8423643Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8424242Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8424887Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8425530Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8426209Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8426952Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8427678Z [2022-11-23 01:30:06,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8428251Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8428732Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8429197Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8429684Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8430175Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8430897Z [2022-11-23 01:30:06,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8431557Z [2022-11-23 01:30:06,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8432220Z [2022-11-23 01:30:06,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8432921Z [2022-11-23 01:30:06,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8433656Z [2022-11-23 01:30:06,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8434390Z [2022-11-23 01:30:06,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8434967Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8435446Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8435900Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8436388Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8436874Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8437474Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8438125Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8438767Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8439440Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8440182Z [2022-11-23 01:30:06,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8440906Z [2022-11-23 01:30:06,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8441481Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8441958Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8442413Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8443034Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8443635Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8444289Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8444963Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8445670Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8446479Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8447411Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8448152Z [2022-11-23 01:30:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8448728Z [2022-11-23 01:30:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8449207Z [2022-11-23 01:30:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8449659Z [2022-11-23 01:30:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8450148Z [2022-11-23 01:30:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8450633Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8451242Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8451889Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8452532Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8453213Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8453953Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8454684Z [2022-11-23 01:30:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8455251Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8455732Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8456192Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8456683Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8457205Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8457854Z [2022-11-23 01:30:06,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8458503Z [2022-11-23 01:30:06,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8459278Z [2022-11-23 01:30:06,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8459970Z [2022-11-23 01:30:06,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8460713Z [2022-11-23 01:30:06,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8461460Z [2022-11-23 01:30:06,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8462036Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8462521Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8462973Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8463470Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8463959Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8464570Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8465216Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8465852Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8466528Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8467266Z [2022-11-23 01:30:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8467995Z [2022-11-23 01:30:06,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8468565Z [2022-11-23 01:30:06,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8469039Z [2022-11-23 01:30:06,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8469545Z [2022-11-23 01:30:06,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8470068Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8470657Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8471264Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8471916Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8472564Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8473253Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8474001Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8474728Z [2022-11-23 01:30:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8475299Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8475779Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8476241Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8476719Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8477204Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8477808Z [2022-11-23 01:30:06,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8478526Z [2022-11-23 01:30:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8479398Z [2022-11-23 01:30:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8480320Z [2022-11-23 01:30:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8481366Z [2022-11-23 01:30:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8482428Z [2022-11-23 01:30:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8483239Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8483944Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8484587Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8485201Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8485689Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8486285Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8486942Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8487577Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8488249Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8488985Z [2022-11-23 01:30:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8489710Z [2022-11-23 01:30:06,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8490283Z [2022-11-23 01:30:06,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8490763Z [2022-11-23 01:30:06,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8491217Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8491701Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8492185Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8492787Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8493433Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8494082Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8494761Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8495519Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8496300Z [2022-11-23 01:30:06,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8496892Z [2022-11-23 01:30:06,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8497372Z [2022-11-23 01:30:06,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8497827Z [2022-11-23 01:30:06,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8498325Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8498946Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8499569Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8500224Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8500926Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8501873Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8502741Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8503617Z [2022-11-23 01:30:06,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8504181Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8504658Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8505112Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8505596Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8506072Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8506681Z [2022-11-23 01:30:06,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8507322Z [2022-11-23 01:30:06,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8507960Z [2022-11-23 01:30:06,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8508632Z [2022-11-23 01:30:06,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8509441Z [2022-11-23 01:30:06,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8510211Z [2022-11-23 01:30:06,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8510899Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8511376Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8511828Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8512323Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8512815Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8513427Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8513784Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8514170Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8514575Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8515031Z [2022-11-23 01:30:06,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8515445Z [2022-11-23 01:30:06,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8515728Z [2022-11-23 01:30:06,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8515993Z [2022-11-23 01:30:06,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8516248Z [2022-11-23 01:30:06,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8516540Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8516805Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8517208Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8517561Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8517941Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8518379Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8518848Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8519255Z [2022-11-23 01:30:06,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8519527Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8519789Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8520043Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8520333Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8520594Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:31.8520990Z [2022-11-23 01:30:06,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8521339Z [2022-11-23 01:30:06,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8521717Z [2022-11-23 01:30:06,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8522127Z [2022-11-23 01:30:06,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:31.8522573Z [2022-11-23 01:30:06,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8522981Z [2022-11-23 01:30:06,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8523261Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8523515Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:32:31.8523768Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:32:31.8524080Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2409
2022-11-23T01:32:31.8524293Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.8524536Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8524909Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eac450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405>
2022-11-23T01:32:31.8525186Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.8525446Z [2022-11-23 01:30:06,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8525706Z [2022-11-23 01:30:06,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8525963Z [2022-11-23 01:30:06,614] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8526148Z [2022-11-23 01:30:06,614] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8526293Z  __compiled_fn_639 <eval_with_key>.3953 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8526389Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8526482Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.8526573Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:31.8526664Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:31.8526753Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:31.8526839Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:31.8526939Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T01:32:31.8527031Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T01:32:31.8527122Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T01:32:31.8527211Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T01:32:31.8527305Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T01:32:31.8527400Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T01:32:31.8527484Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T01:32:31.8527575Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T01:32:31.8527667Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T01:32:31.8527757Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T01:32:31.8527847Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T01:32:31.8527937Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T01:32:31.8528026Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T01:32:31.8528109Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T01:32:31.8528200Z placeholder, ex_20_, ex_20_, (), {}
2022-11-23T01:32:31.8528299Z placeholder, ex_21_, ex_21_, (), {}
2022-11-23T01:32:31.8528392Z placeholder, ex_22_, ex_22_, (), {}
2022-11-23T01:32:31.8528482Z placeholder, ex_23_, ex_23_, (), {}
2022-11-23T01:32:31.8528571Z placeholder, ex_24_, ex_24_, (), {}
2022-11-23T01:32:31.8528661Z placeholder, ex_25_, ex_25_, (), {}
2022-11-23T01:32:31.8528744Z placeholder, ex_26_, ex_26_, (), {}
2022-11-23T01:32:31.8528833Z placeholder, ex_27_, ex_27_, (), {}
2022-11-23T01:32:31.8528923Z placeholder, ex_28_, ex_28_, (), {}
2022-11-23T01:32:31.8529012Z placeholder, ex_29_, ex_29_, (), {}
2022-11-23T01:32:31.8529101Z placeholder, ex_30_, ex_30_, (), {}
2022-11-23T01:32:31.8529190Z placeholder, ex_31_, ex_31_, (), {}
2022-11-23T01:32:31.8529280Z placeholder, ex_32_, ex_32_, (), {}
2022-11-23T01:32:31.8529363Z placeholder, ex_33_, ex_33_, (), {}
2022-11-23T01:32:31.8529452Z placeholder, ex_34_, ex_34_, (), {}
2022-11-23T01:32:31.8529541Z placeholder, ex_35_, ex_35_, (), {}
2022-11-23T01:32:31.8529631Z placeholder, ex_36_, ex_36_, (), {}
2022-11-23T01:32:31.8529724Z placeholder, ex_37_, ex_37_, (), {}
2022-11-23T01:32:31.8529820Z placeholder, ex_38_, ex_38_, (), {}
2022-11-23T01:32:31.8529910Z placeholder, ex_39_, ex_39_, (), {}
2022-11-23T01:32:31.8529992Z placeholder, ex_40_, ex_40_, (), {}
2022-11-23T01:32:31.8530081Z placeholder, ex_41_, ex_41_, (), {}
2022-11-23T01:32:31.8530171Z placeholder, ex_42_, ex_42_, (), {}
2022-11-23T01:32:31.8530260Z placeholder, ex_43_, ex_43_, (), {}
2022-11-23T01:32:31.8530349Z placeholder, ex_44_, ex_44_, (), {}
2022-11-23T01:32:31.8530437Z placeholder, ex_45_, ex_45_, (), {}
2022-11-23T01:32:31.8530534Z placeholder, ex_46_, ex_46_, (), {}
2022-11-23T01:32:31.8530659Z placeholder, ex_47_, ex_47_, (), {}
2022-11-23T01:32:31.8530785Z placeholder, ex_48_, ex_48_, (), {}
2022-11-23T01:32:31.8530907Z placeholder, ex_49_, ex_49_, (), {}
2022-11-23T01:32:31.8531233Z call_function, add, <built-in method add of type object at 0x7f209c394c60>, (ex_0_, ex_0_), {}
2022-11-23T01:32:31.8531565Z call_function, add_1, <built-in method add of type object at 0x7f209c394c60>, (add, ex_1_), {}
2022-11-23T01:32:31.8531840Z call_function, add_2, <built-in method add of type object at 0x7f209c394c60>, (add_1, ex_2_), {}
2022-11-23T01:32:31.8532070Z call_function, add_3, <built-in method add of type object at 0x7f209c394c60>, (add_2, ex_3_), {}
2022-11-23T01:32:31.8532358Z call_function, add_4, <built-in method add of type object at 0x7f209c394c60>, (add_3, ex_4_), {}
2022-11-23T01:32:31.8532675Z call_function, add_5, <built-in method add of type object at 0x7f209c394c60>, (add_4, ex_5_), {}
2022-11-23T01:32:31.8532956Z call_function, add_6, <built-in method add of type object at 0x7f209c394c60>, (add_5, ex_6_), {}
2022-11-23T01:32:31.8533189Z call_function, add_7, <built-in method add of type object at 0x7f209c394c60>, (add_6, ex_7_), {}
2022-11-23T01:32:31.8533490Z call_function, add_8, <built-in method add of type object at 0x7f209c394c60>, (add_7, ex_8_), {}
2022-11-23T01:32:31.8533806Z call_function, add_9, <built-in method add of type object at 0x7f209c394c60>, (add_8, ex_9_), {}
2022-11-23T01:32:31.8534085Z call_function, add_10, <built-in method add of type object at 0x7f209c394c60>, (add_9, ex_10_), {}
2022-11-23T01:32:31.8534318Z call_function, add_11, <built-in method add of type object at 0x7f209c394c60>, (add_10, ex_11_), {}
2022-11-23T01:32:31.8534544Z call_function, add_12, <built-in method add of type object at 0x7f209c394c60>, (add_11, ex_12_), {}
2022-11-23T01:32:31.8534764Z call_function, add_13, <built-in method add of type object at 0x7f209c394c60>, (add_12, ex_13_), {}
2022-11-23T01:32:31.8534990Z call_function, add_14, <built-in method add of type object at 0x7f209c394c60>, (add_13, ex_14_), {}
2022-11-23T01:32:31.8535218Z call_function, add_15, <built-in method add of type object at 0x7f209c394c60>, (add_14, ex_15_), {}
2022-11-23T01:32:31.8535442Z call_function, add_16, <built-in method add of type object at 0x7f209c394c60>, (add_15, ex_16_), {}
2022-11-23T01:32:31.8535669Z call_function, add_17, <built-in method add of type object at 0x7f209c394c60>, (add_16, ex_17_), {}
2022-11-23T01:32:31.8535897Z call_function, add_18, <built-in method add of type object at 0x7f209c394c60>, (add_17, ex_18_), {}
2022-11-23T01:32:31.8536121Z call_function, add_19, <built-in method add of type object at 0x7f209c394c60>, (add_18, ex_19_), {}
2022-11-23T01:32:31.8536345Z call_function, add_20, <built-in method add of type object at 0x7f209c394c60>, (add_19, ex_20_), {}
2022-11-23T01:32:31.8536570Z call_function, add_21, <built-in method add of type object at 0x7f209c394c60>, (add_20, ex_21_), {}
2022-11-23T01:32:31.8536788Z call_function, add_22, <built-in method add of type object at 0x7f209c394c60>, (add_21, ex_22_), {}
2022-11-23T01:32:31.8537013Z call_function, add_23, <built-in method add of type object at 0x7f209c394c60>, (add_22, ex_23_), {}
2022-11-23T01:32:31.8537240Z call_function, add_24, <built-in method add of type object at 0x7f209c394c60>, (add_23, ex_24_), {}
2022-11-23T01:32:31.8537468Z call_function, add_25, <built-in method add of type object at 0x7f209c394c60>, (add_24, ex_25_), {}
2022-11-23T01:32:31.8537695Z call_function, add_26, <built-in method add of type object at 0x7f209c394c60>, (add_25, ex_26_), {}
2022-11-23T01:32:31.8537923Z call_function, add_27, <built-in method add of type object at 0x7f209c394c60>, (add_26, ex_27_), {}
2022-11-23T01:32:31.8538148Z call_function, add_28, <built-in method add of type object at 0x7f209c394c60>, (add_27, ex_28_), {}
2022-11-23T01:32:31.8538372Z call_function, add_29, <built-in method add of type object at 0x7f209c394c60>, (add_28, ex_29_), {}
2022-11-23T01:32:31.8538598Z call_function, add_30, <built-in method add of type object at 0x7f209c394c60>, (add_29, ex_30_), {}
2022-11-23T01:32:31.8538939Z call_function, add_31, <built-in method add of type object at 0x7f209c394c60>, (add_30, ex_31_), {}
2022-11-23T01:32:31.8539171Z call_function, add_32, <built-in method add of type object at 0x7f209c394c60>, (add_31, ex_32_), {}
2022-11-23T01:32:31.8539459Z call_function, add_33, <built-in method add of type object at 0x7f209c394c60>, (add_32, ex_33_), {}
2022-11-23T01:32:31.8539714Z call_function, add_34, <built-in method add of type object at 0x7f209c394c60>, (add_33, ex_34_), {}
2022-11-23T01:32:31.8539938Z call_function, add_35, <built-in method add of type object at 0x7f209c394c60>, (add_34, ex_35_), {}
2022-11-23T01:32:31.8540163Z call_function, add_36, <built-in method add of type object at 0x7f209c394c60>, (add_35, ex_36_), {}
2022-11-23T01:32:31.8540388Z call_function, add_37, <built-in method add of type object at 0x7f209c394c60>, (add_36, ex_37_), {}
2022-11-23T01:32:31.8540612Z call_function, add_38, <built-in method add of type object at 0x7f209c394c60>, (add_37, ex_38_), {}
2022-11-23T01:32:31.8540831Z call_function, add_39, <built-in method add of type object at 0x7f209c394c60>, (add_38, ex_39_), {}
2022-11-23T01:32:31.8541053Z call_function, add_40, <built-in method add of type object at 0x7f209c394c60>, (add_39, ex_40_), {}
2022-11-23T01:32:31.8541280Z call_function, add_41, <built-in method add of type object at 0x7f209c394c60>, (add_40, ex_41_), {}
2022-11-23T01:32:31.8541506Z call_function, add_42, <built-in method add of type object at 0x7f209c394c60>, (add_41, ex_42_), {}
2022-11-23T01:32:31.8541730Z call_function, add_43, <built-in method add of type object at 0x7f209c394c60>, (add_42, ex_43_), {}
2022-11-23T01:32:31.8541953Z call_function, add_44, <built-in method add of type object at 0x7f209c394c60>, (add_43, ex_44_), {}
2022-11-23T01:32:31.8542176Z call_function, add_45, <built-in method add of type object at 0x7f209c394c60>, (add_44, ex_45_), {}
2022-11-23T01:32:31.8542400Z call_function, add_46, <built-in method add of type object at 0x7f209c394c60>, (add_45, ex_46_), {}
2022-11-23T01:32:31.8542624Z call_function, add_47, <built-in method add of type object at 0x7f209c394c60>, (add_46, ex_47_), {}
2022-11-23T01:32:31.8542841Z call_function, add_48, <built-in method add of type object at 0x7f209c394c60>, (add_47, ex_48_), {}
2022-11-23T01:32:31.8543068Z call_function, add_49, <built-in method add of type object at 0x7f209c394c60>, (add_48, ex_49_), {}
2022-11-23T01:32:31.8543174Z output, output, output, ((add_49,),), {}
2022-11-23T01:32:31.8543182Z 
2022-11-23T01:32:31.8543515Z [2022-11-23 01:30:06,616] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8543620Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8543722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8543815Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8543915Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8544000Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8544095Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8544176Z              12 RETURN_VALUE
2022-11-23T01:32:31.8544182Z 
2022-11-23T01:32:31.8544248Z  
2022-11-23T01:32:31.8544571Z [2022-11-23 01:30:06,616] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8544695Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_639)
2022-11-23T01:32:31.8544791Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8544887Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8544964Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8545058Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8545151Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8545233Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.8545327Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8545419Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8545499Z              18 BINARY_SUBSCR
2022-11-23T01:32:31.8545584Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8545680Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:31.8545788Z              24 BINARY_SUBSCR
2022-11-23T01:32:31.8545902Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8545993Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:31.8546073Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.8546165Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8546249Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:31.8546332Z              36 BINARY_SUBSCR
2022-11-23T01:32:31.8546424Z              38 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8546515Z              40 LOAD_CONST               7 (6)
2022-11-23T01:32:31.8546594Z              42 BINARY_SUBSCR
2022-11-23T01:32:31.8546684Z              44 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8546775Z              46 LOAD_CONST               8 (7)
2022-11-23T01:32:31.8546848Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.8546938Z              50 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8547031Z              52 LOAD_CONST               9 (8)
2022-11-23T01:32:31.8547110Z              54 BINARY_SUBSCR
2022-11-23T01:32:31.8547203Z              56 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8547297Z              58 LOAD_CONST              10 (9)
2022-11-23T01:32:31.8547377Z              60 BINARY_SUBSCR
2022-11-23T01:32:31.8547461Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8547558Z              64 LOAD_CONST              11 (10)
2022-11-23T01:32:31.8547639Z              66 BINARY_SUBSCR
2022-11-23T01:32:31.8547729Z              68 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8547822Z              70 LOAD_CONST              12 (11)
2022-11-23T01:32:31.8547900Z              72 BINARY_SUBSCR
2022-11-23T01:32:31.8547992Z              74 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8548077Z              76 LOAD_CONST              13 (12)
2022-11-23T01:32:31.8548156Z              78 BINARY_SUBSCR
2022-11-23T01:32:31.8548248Z              80 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8548345Z              82 LOAD_CONST              14 (13)
2022-11-23T01:32:31.8548427Z              84 BINARY_SUBSCR
2022-11-23T01:32:31.8548520Z              86 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8548611Z              88 LOAD_CONST              15 (14)
2022-11-23T01:32:31.8548683Z              90 BINARY_SUBSCR
2022-11-23T01:32:31.8548775Z              92 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8548866Z              94 LOAD_CONST              16 (15)
2022-11-23T01:32:31.8548946Z              96 BINARY_SUBSCR
2022-11-23T01:32:31.8549037Z              98 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8549132Z             100 LOAD_CONST              17 (16)
2022-11-23T01:32:31.8549213Z             102 BINARY_SUBSCR
2022-11-23T01:32:31.8549297Z             104 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8549389Z             106 LOAD_CONST              18 (17)
2022-11-23T01:32:31.8549474Z             108 BINARY_SUBSCR
2022-11-23T01:32:31.8549568Z             110 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8549659Z             112 LOAD_CONST              19 (18)
2022-11-23T01:32:31.8549741Z             114 BINARY_SUBSCR
2022-11-23T01:32:31.8549832Z             116 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8549917Z             118 LOAD_CONST              20 (19)
2022-11-23T01:32:31.8549996Z             120 BINARY_SUBSCR
2022-11-23T01:32:31.8550087Z             122 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8550177Z             124 LOAD_CONST              21 (20)
2022-11-23T01:32:31.8550324Z             126 BINARY_SUBSCR
2022-11-23T01:32:31.8550429Z             128 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8550537Z             130 LOAD_CONST              22 (21)
2022-11-23T01:32:31.8550624Z             132 BINARY_SUBSCR
2022-11-23T01:32:31.8550709Z             134 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8550800Z             136 LOAD_CONST              23 (22)
2022-11-23T01:32:31.8550880Z             138 BINARY_SUBSCR
2022-11-23T01:32:31.8551004Z             140 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8551122Z             142 LOAD_CONST              24 (23)
2022-11-23T01:32:31.8551203Z             144 BINARY_SUBSCR
2022-11-23T01:32:31.8551296Z             146 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8551381Z             148 LOAD_CONST              25 (24)
2022-11-23T01:32:31.8551463Z             150 BINARY_SUBSCR
2022-11-23T01:32:31.8551554Z             152 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8551647Z             154 LOAD_CONST              26 (25)
2022-11-23T01:32:31.8551726Z             156 BINARY_SUBSCR
2022-11-23T01:32:31.8551823Z             158 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8551933Z             160 LOAD_CONST              27 (26)
2022-11-23T01:32:31.8552011Z             162 BINARY_SUBSCR
2022-11-23T01:32:31.8552121Z             164 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8552212Z             166 LOAD_CONST              28 (27)
2022-11-23T01:32:31.8552294Z             168 BINARY_SUBSCR
2022-11-23T01:32:31.8552405Z             170 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8552530Z             172 LOAD_CONST              29 (28)
2022-11-23T01:32:31.8552639Z             174 BINARY_SUBSCR
2022-11-23T01:32:31.8552755Z             176 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8552878Z             178 LOAD_CONST              30 (29)
2022-11-23T01:32:31.8552988Z             180 BINARY_SUBSCR
2022-11-23T01:32:31.8553112Z             182 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8553218Z             184 LOAD_CONST              31 (30)
2022-11-23T01:32:31.8553300Z             186 BINARY_SUBSCR
2022-11-23T01:32:31.8553391Z             188 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8553476Z             190 LOAD_CONST              32 (31)
2022-11-23T01:32:31.8553556Z             192 BINARY_SUBSCR
2022-11-23T01:32:31.8553653Z             194 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8553771Z             196 LOAD_CONST              33 (32)
2022-11-23T01:32:31.8553885Z             198 BINARY_SUBSCR
2022-11-23T01:32:31.8554015Z             200 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8554138Z             202 LOAD_CONST              34 (33)
2022-11-23T01:32:31.8554239Z             204 BINARY_SUBSCR
2022-11-23T01:32:31.8554365Z             206 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8554463Z             208 LOAD_CONST              35 (34)
2022-11-23T01:32:31.8554544Z             210 BINARY_SUBSCR
2022-11-23T01:32:31.8554636Z             212 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8554728Z             214 LOAD_CONST              36 (35)
2022-11-23T01:32:31.8554810Z             216 BINARY_SUBSCR
2022-11-23T01:32:31.8554913Z             218 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8555037Z             220 LOAD_CONST              37 (36)
2022-11-23T01:32:31.8555146Z             222 BINARY_SUBSCR
2022-11-23T01:32:31.8555270Z             224 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8555399Z             226 LOAD_CONST              38 (37)
2022-11-23T01:32:31.8555514Z             228 BINARY_SUBSCR
2022-11-23T01:32:31.8555622Z             230 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8555707Z             232 LOAD_CONST              39 (38)
2022-11-23T01:32:31.8555786Z             234 BINARY_SUBSCR
2022-11-23T01:32:31.8555879Z             236 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8555976Z             238 LOAD_CONST              40 (39)
2022-11-23T01:32:31.8556085Z             240 BINARY_SUBSCR
2022-11-23T01:32:31.8556209Z             242 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8556331Z             244 LOAD_CONST              41 (40)
2022-11-23T01:32:31.8556437Z             246 BINARY_SUBSCR
2022-11-23T01:32:31.8556561Z             248 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8556687Z             250 LOAD_CONST              42 (41)
2022-11-23T01:32:31.8556769Z             252 BINARY_SUBSCR
2022-11-23T01:32:31.8556860Z             254 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8557022Z             256 LOAD_CONST              43 (42)
2022-11-23T01:32:31.8557124Z             258 BINARY_SUBSCR
2022-11-23T01:32:31.8557209Z             260 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8557303Z             262 LOAD_CONST              44 (43)
2022-11-23T01:32:31.8557385Z             264 BINARY_SUBSCR
2022-11-23T01:32:31.8557476Z             266 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8557568Z             268 LOAD_CONST              45 (44)
2022-11-23T01:32:31.8557647Z             270 BINARY_SUBSCR
2022-11-23T01:32:31.8557738Z             272 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8557822Z             274 LOAD_CONST              46 (45)
2022-11-23T01:32:31.8557902Z             276 BINARY_SUBSCR
2022-11-23T01:32:31.8557993Z             278 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8558085Z             280 LOAD_CONST              47 (46)
2022-11-23T01:32:31.8558164Z             282 BINARY_SUBSCR
2022-11-23T01:32:31.8558257Z             284 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8558350Z             286 LOAD_CONST              48 (47)
2022-11-23T01:32:31.8558423Z             288 BINARY_SUBSCR
2022-11-23T01:32:31.8558514Z             290 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8558606Z             292 LOAD_CONST              49 (48)
2022-11-23T01:32:31.8558685Z             294 BINARY_SUBSCR
2022-11-23T01:32:31.8558775Z             296 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8558867Z             298 LOAD_CONST              50 (49)
2022-11-23T01:32:31.8558949Z             300 BINARY_SUBSCR
2022-11-23T01:32:31.8559036Z             302 CALL_FUNCTION           50
2022-11-23T01:32:31.8559149Z             304 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8559289Z             306 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.8559393Z             308 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.8559489Z             310 CALL_FUNCTION            0
2022-11-23T01:32:31.8559592Z             312 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.8559708Z             314 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8559803Z             316 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8559877Z             318 BINARY_SUBSCR
2022-11-23T01:32:31.8559976Z             320 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8560083Z             322 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.8560178Z             324 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8560258Z             326 BINARY_SUBSCR
2022-11-23T01:32:31.8560367Z             328 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.8560468Z             330 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8560564Z             332 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.8560658Z             334 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8560738Z             336 BINARY_SUBSCR
2022-11-23T01:32:31.8560850Z             338 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.8560932Z             340 RETURN_VALUE
2022-11-23T01:32:31.8560938Z 
2022-11-23T01:32:31.8561003Z  
2022-11-23T01:32:31.8561209Z [2022-11-23 01:30:06,618] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8561279Z  - 
2022-11-23T01:32:31.8561402Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8561473Z             {
2022-11-23T01:32:31.8561619Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8561809Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 50'],
2022-11-23T01:32:31.8561933Z                 'obj_weakref': None
2022-11-23T01:32:31.8562159Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8562221Z             }
2022-11-23T01:32:31.8562290Z             
2022-11-23T01:32:31.8562366Z  - 
2022-11-23T01:32:31.8562495Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8562593Z             {
2022-11-23T01:32:31.8562740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8562874Z                 'code': None,
2022-11-23T01:32:31.8563083Z                 'obj_weakref': <weakref at 0x7f1fd9a8d6c0; to 'Tensor' at 0x7f1ffadca520>
2022-11-23T01:32:31.8563335Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8563404Z             }
2022-11-23T01:32:31.8563473Z             
2022-11-23T01:32:31.8563552Z  - 
2022-11-23T01:32:31.8563681Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.8563750Z             {
2022-11-23T01:32:31.8563892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8564005Z                 'code': None,
2022-11-23T01:32:31.8564218Z                 'obj_weakref': <weakref at 0x7f1fd9a8d580; to 'Tensor' at 0x7f2068028a90>
2022-11-23T01:32:31.8564474Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8564543Z             }
2022-11-23T01:32:31.8572807Z             
2022-11-23T01:32:31.8572912Z  - 
2022-11-23T01:32:31.8573052Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:31.8573124Z             {
2022-11-23T01:32:31.8573294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8573458Z                 'code': None,
2022-11-23T01:32:31.8573760Z                 'obj_weakref': <weakref at 0x7f1fd9a8e570; to 'Tensor' at 0x7f2068029ee0>
2022-11-23T01:32:31.8574106Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8574202Z             }
2022-11-23T01:32:31.8574290Z             
2022-11-23T01:32:31.8574399Z  - 
2022-11-23T01:32:31.8574567Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:31.8574663Z             {
2022-11-23T01:32:31.8574877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8575041Z                 'code': None,
2022-11-23T01:32:31.8575354Z                 'obj_weakref': <weakref at 0x7f1fd9a8fd80; to 'Tensor' at 0x7f2068028270>
2022-11-23T01:32:31.8575728Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8575827Z             }
2022-11-23T01:32:31.8575916Z             
2022-11-23T01:32:31.8576028Z  - 
2022-11-23T01:32:31.8576216Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:31.8576311Z             {
2022-11-23T01:32:31.8576523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8576689Z                 'code': None,
2022-11-23T01:32:31.8577011Z                 'obj_weakref': <weakref at 0x7f1fd9a8db70; to 'Tensor' at 0x7f206802a0c0>
2022-11-23T01:32:31.8577341Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8577436Z             }
2022-11-23T01:32:31.8577529Z             
2022-11-23T01:32:31.8577635Z  - 
2022-11-23T01:32:31.8577792Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:31.8577865Z             {
2022-11-23T01:32:31.8578012Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8578116Z                 'code': None,
2022-11-23T01:32:31.8578327Z                 'obj_weakref': <weakref at 0x7f1fd9a8d710; to 'Tensor' at 0x7f20601c1f30>
2022-11-23T01:32:31.8578576Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8578644Z             }
2022-11-23T01:32:31.8578713Z             
2022-11-23T01:32:31.8579007Z  - 
2022-11-23T01:32:31.8579142Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T01:32:31.8579205Z             {
2022-11-23T01:32:31.8579350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8579462Z                 'code': None,
2022-11-23T01:32:31.8579673Z                 'obj_weakref': <weakref at 0x7f1fd9a8eb10; to 'Tensor' at 0x7f20601c3e20>
2022-11-23T01:32:31.8580007Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8580104Z             }
2022-11-23T01:32:31.8580172Z             
2022-11-23T01:32:31.8580243Z  - 
2022-11-23T01:32:31.8580370Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T01:32:31.8580439Z             {
2022-11-23T01:32:31.8580585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8580698Z                 'code': None,
2022-11-23T01:32:31.8580904Z                 'obj_weakref': <weakref at 0x7f1fd9a8c220; to 'Tensor' at 0x7f20601c38d0>
2022-11-23T01:32:31.8581147Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8581210Z             }
2022-11-23T01:32:31.8581279Z             
2022-11-23T01:32:31.8581355Z  - 
2022-11-23T01:32:31.8581483Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T01:32:31.8581551Z             {
2022-11-23T01:32:31.8581699Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8581813Z                 'code': None,
2022-11-23T01:32:31.8582019Z                 'obj_weakref': <weakref at 0x7f1fd8178220; to 'Tensor' at 0x7f1fd9aa84a0>
2022-11-23T01:32:31.8582262Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8582332Z             }
2022-11-23T01:32:31.8582400Z             
2022-11-23T01:32:31.8582476Z  - 
2022-11-23T01:32:31.8582602Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T01:32:31.8582670Z             {
2022-11-23T01:32:31.8582808Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8582918Z                 'code': None,
2022-11-23T01:32:31.8583128Z                 'obj_weakref': <weakref at 0x7f1fd9a8d670; to 'Tensor' at 0x7f1fd9aa8540>
2022-11-23T01:32:31.8583373Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8583441Z             }
2022-11-23T01:32:31.8583512Z             
2022-11-23T01:32:31.8583594Z  - 
2022-11-23T01:32:31.8583726Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8583797Z             {
2022-11-23T01:32:31.8583935Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8584109Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8584235Z                 'obj_weakref': None
2022-11-23T01:32:31.8584465Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8584534Z             }
2022-11-23T01:32:31.8584596Z             
2022-11-23T01:32:31.8584671Z  - 
2022-11-23T01:32:31.8584802Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T01:32:31.8584872Z             {
2022-11-23T01:32:31.8585018Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8585130Z                 'code': None,
2022-11-23T01:32:31.8585338Z                 'obj_weakref': <weakref at 0x7f1fd9a8d080; to 'Tensor' at 0x7f1fd9aaba60>
2022-11-23T01:32:31.8585576Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8585648Z             }
2022-11-23T01:32:31.8585715Z             
2022-11-23T01:32:31.8585790Z  - 
2022-11-23T01:32:31.8585921Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T01:32:31.8585988Z             {
2022-11-23T01:32:31.8586133Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8586237Z                 'code': None,
2022-11-23T01:32:31.8586445Z                 'obj_weakref': <weakref at 0x7f1fd9a8d5d0; to 'Tensor' at 0x7f1fd9aa8590>
2022-11-23T01:32:31.8586686Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8586755Z             }
2022-11-23T01:32:31.8586823Z             
2022-11-23T01:32:31.8586899Z  - 
2022-11-23T01:32:31.8587027Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T01:32:31.8587089Z             {
2022-11-23T01:32:31.8587272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8587419Z                 'code': None,
2022-11-23T01:32:31.8587629Z                 'obj_weakref': <weakref at 0x7f1fd9a8d3a0; to 'Tensor' at 0x7f1fd9aa93f0>
2022-11-23T01:32:31.8587873Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8587942Z             }
2022-11-23T01:32:31.8588010Z             
2022-11-23T01:32:31.8588079Z  - 
2022-11-23T01:32:31.8588207Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T01:32:31.8588275Z             {
2022-11-23T01:32:31.8588420Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8588533Z                 'code': None,
2022-11-23T01:32:31.8588741Z                 'obj_weakref': <weakref at 0x7f201e385c10; to 'Tensor' at 0x7f1fd9aab240>
2022-11-23T01:32:31.8588983Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8589055Z             }
2022-11-23T01:32:31.8589117Z             
2022-11-23T01:32:31.8589195Z  - 
2022-11-23T01:32:31.8589324Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T01:32:31.8589392Z             {
2022-11-23T01:32:31.8589538Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8589650Z                 'code': None,
2022-11-23T01:32:31.8589850Z                 'obj_weakref': <weakref at 0x7f201e384db0; to 'Tensor' at 0x7f1fd9aab560>
2022-11-23T01:32:31.8590091Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8590161Z             }
2022-11-23T01:32:31.8590230Z             
2022-11-23T01:32:31.8590400Z  - 
2022-11-23T01:32:31.8590555Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T01:32:31.8590624Z             {
2022-11-23T01:32:31.8590763Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8590874Z                 'code': None,
2022-11-23T01:32:31.8591082Z                 'obj_weakref': <weakref at 0x7f2151f00720; to 'Tensor' at 0x7f1fd9aa89a0>
2022-11-23T01:32:31.8591325Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8591393Z             }
2022-11-23T01:32:31.8591461Z             
2022-11-23T01:32:31.8591537Z  - 
2022-11-23T01:32:31.8591658Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T01:32:31.8591726Z             {
2022-11-23T01:32:31.8591871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8591981Z                 'code': None,
2022-11-23T01:32:31.8592187Z                 'obj_weakref': <weakref at 0x7f20601845e0; to 'Tensor' at 0x7f1ff8162ca0>
2022-11-23T01:32:31.8592427Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8592495Z             }
2022-11-23T01:32:31.8592560Z             
2022-11-23T01:32:31.8592628Z  - 
2022-11-23T01:32:31.8592757Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T01:32:31.8592825Z             {
2022-11-23T01:32:31.8592974Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8593084Z                 'code': None,
2022-11-23T01:32:31.8593290Z                 'obj_weakref': <weakref at 0x7f2060185bc0; to 'Tensor' at 0x7f1ff8160ae0>
2022-11-23T01:32:31.8593530Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8593590Z             }
2022-11-23T01:32:31.8593657Z             
2022-11-23T01:32:31.8593731Z  - 
2022-11-23T01:32:31.8593858Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T01:32:31.8593925Z             {
2022-11-23T01:32:31.8594067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8594171Z                 'code': None,
2022-11-23T01:32:31.8594377Z                 'obj_weakref': <weakref at 0x7f2060184d60; to 'Tensor' at 0x7f1ff8161850>
2022-11-23T01:32:31.8594659Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8594748Z             }
2022-11-23T01:32:31.8594816Z             
2022-11-23T01:32:31.8594890Z  - 
2022-11-23T01:32:31.8595022Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T01:32:31.8595083Z             {
2022-11-23T01:32:31.8595228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8595338Z                 'code': None,
2022-11-23T01:32:31.8595550Z                 'obj_weakref': <weakref at 0x7f1fd9b9ba60; to 'Tensor' at 0x7f1ff8161a30>
2022-11-23T01:32:31.8595793Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8595860Z             }
2022-11-23T01:32:31.8595927Z             
2022-11-23T01:32:31.8596001Z  - 
2022-11-23T01:32:31.8596122Z             local 'ex[20]' TENSOR_MATCH
2022-11-23T01:32:31.8596190Z             {
2022-11-23T01:32:31.8596336Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8596448Z                 'code': None,
2022-11-23T01:32:31.8596660Z                 'obj_weakref': <weakref at 0x7f1fd9b99940; to 'Tensor' at 0x7f1ff81627a0>
2022-11-23T01:32:31.8596906Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8596973Z             }
2022-11-23T01:32:31.8597033Z             
2022-11-23T01:32:31.8597108Z  - 
2022-11-23T01:32:31.8597238Z             local 'ex[21]' TENSOR_MATCH
2022-11-23T01:32:31.8597306Z             {
2022-11-23T01:32:31.8597452Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8597564Z                 'code': None,
2022-11-23T01:32:31.8597776Z                 'obj_weakref': <weakref at 0x7f1fd9b9afc0; to 'Tensor' at 0x7f1ff8163a60>
2022-11-23T01:32:31.8598013Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8598081Z             }
2022-11-23T01:32:31.8598150Z             
2022-11-23T01:32:31.8598229Z  - 
2022-11-23T01:32:31.8598357Z             local 'ex[22]' TENSOR_MATCH
2022-11-23T01:32:31.8598427Z             {
2022-11-23T01:32:31.8598574Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8598679Z                 'code': None,
2022-11-23T01:32:31.8598889Z                 'obj_weakref': <weakref at 0x7f1fd9b9bfb0; to 'Tensor' at 0x7f1ff81615d0>
2022-11-23T01:32:31.8599132Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8599200Z             }
2022-11-23T01:32:31.8599269Z             
2022-11-23T01:32:31.8599343Z  - 
2022-11-23T01:32:31.8599473Z             local 'ex[23]' TENSOR_MATCH
2022-11-23T01:32:31.8599535Z             {
2022-11-23T01:32:31.8599682Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8599794Z                 'code': None,
2022-11-23T01:32:31.8600003Z                 'obj_weakref': <weakref at 0x7f1fd9b9b010; to 'Tensor' at 0x7f1ff81628e0>
2022-11-23T01:32:31.8600248Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8600319Z             }
2022-11-23T01:32:31.8600387Z             
2022-11-23T01:32:31.8600456Z  - 
2022-11-23T01:32:31.8600585Z             local 'ex[24]' TENSOR_MATCH
2022-11-23T01:32:31.8600652Z             {
2022-11-23T01:32:31.8600799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8600911Z                 'code': None,
2022-11-23T01:32:31.8601122Z                 'obj_weakref': <weakref at 0x7f1fd9b9a700; to 'Tensor' at 0x7f1ff8160c70>
2022-11-23T01:32:31.8601367Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8601430Z             }
2022-11-23T01:32:31.8601498Z             
2022-11-23T01:32:31.8601573Z  - 
2022-11-23T01:32:31.8601703Z             local 'ex[25]' TENSOR_MATCH
2022-11-23T01:32:31.8601771Z             {
2022-11-23T01:32:31.8601948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8602079Z                 'code': None,
2022-11-23T01:32:31.8602286Z                 'obj_weakref': <weakref at 0x7f1fd8bf93a0; to 'Tensor' at 0x7f1ff81603b0>
2022-11-23T01:32:31.8602529Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8602596Z             }
2022-11-23T01:32:31.8602664Z             
2022-11-23T01:32:31.8602751Z  - 
2022-11-23T01:32:31.8602932Z             local 'ex[26]' TENSOR_MATCH
2022-11-23T01:32:31.8603027Z             {
2022-11-23T01:32:31.8603223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8603361Z                 'code': None,
2022-11-23T01:32:31.8603655Z                 'obj_weakref': <weakref at 0x7f1fd8bf84a0; to 'Tensor' at 0x7f1ff8161e90>
2022-11-23T01:32:31.8603998Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8604102Z             }
2022-11-23T01:32:31.8604201Z             
2022-11-23T01:32:31.8604320Z  - 
2022-11-23T01:32:31.8604501Z             local 'ex[27]' TENSOR_MATCH
2022-11-23T01:32:31.8604599Z             {
2022-11-23T01:32:31.8604809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8604968Z                 'code': None,
2022-11-23T01:32:31.8605270Z                 'obj_weakref': <weakref at 0x7f1fd8bfa7f0; to 'Tensor' at 0x7f1ff8160180>
2022-11-23T01:32:31.8605612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8605709Z             }
2022-11-23T01:32:31.8605799Z             
2022-11-23T01:32:31.8605911Z  - 
2022-11-23T01:32:31.8606097Z             local 'ex[28]' TENSOR_MATCH
2022-11-23T01:32:31.8606193Z             {
2022-11-23T01:32:31.8606405Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8606564Z                 'code': None,
2022-11-23T01:32:31.8606824Z                 'obj_weakref': <weakref at 0x7f1fd8bfba60; to 'Tensor' at 0x7f1ff8163fb0>
2022-11-23T01:32:31.8607127Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8607222Z             }
2022-11-23T01:32:31.8607318Z             
2022-11-23T01:32:31.8607422Z  - 
2022-11-23T01:32:31.8607606Z             local 'ex[29]' TENSOR_MATCH
2022-11-23T01:32:31.8607707Z             {
2022-11-23T01:32:31.8607922Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8608064Z                 'code': None,
2022-11-23T01:32:31.8608309Z                 'obj_weakref': <weakref at 0x7f20726e7ba0; to 'Tensor' at 0x7f1ff8163b00>
2022-11-23T01:32:31.8608630Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8608726Z             }
2022-11-23T01:32:31.8608819Z             
2022-11-23T01:32:31.8608923Z  - 
2022-11-23T01:32:31.8609106Z             local 'ex[30]' TENSOR_MATCH
2022-11-23T01:32:31.8609193Z             {
2022-11-23T01:32:31.8609406Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8609569Z                 'code': None,
2022-11-23T01:32:31.8609858Z                 'obj_weakref': <weakref at 0x7f20726e5580; to 'Tensor' at 0x7f1ff8162ac0>
2022-11-23T01:32:31.8610201Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8610297Z             }
2022-11-23T01:32:31.8610392Z             
2022-11-23T01:32:31.8610490Z  - 
2022-11-23T01:32:31.8610672Z             local 'ex[31]' TENSOR_MATCH
2022-11-23T01:32:31.8610763Z             {
2022-11-23T01:32:31.8610967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8611110Z                 'code': None,
2022-11-23T01:32:31.8611325Z                 'obj_weakref': <weakref at 0x7f20726e6340; to 'Tensor' at 0x7f1ff8160360>
2022-11-23T01:32:31.8611625Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8611708Z             }
2022-11-23T01:32:31.8611777Z             
2022-11-23T01:32:31.8611852Z  - 
2022-11-23T01:32:31.8611983Z             local 'ex[32]' TENSOR_MATCH
2022-11-23T01:32:31.8612051Z             {
2022-11-23T01:32:31.8612201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8612320Z                 'code': None,
2022-11-23T01:32:31.8612556Z                 'obj_weakref': <weakref at 0x7f201e6b6660; to 'Tensor' at 0x7f1ff8163380>
2022-11-23T01:32:31.8612812Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8612881Z             }
2022-11-23T01:32:31.8612949Z             
2022-11-23T01:32:31.8613025Z  - 
2022-11-23T01:32:31.8613156Z             local 'ex[33]' TENSOR_MATCH
2022-11-23T01:32:31.8613226Z             {
2022-11-23T01:32:31.8613364Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8613481Z                 'code': None,
2022-11-23T01:32:31.8613687Z                 'obj_weakref': <weakref at 0x7f201e6b4a40; to 'Tensor' at 0x7f1ff8163100>
2022-11-23T01:32:31.8613927Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8613996Z             }
2022-11-23T01:32:31.8614063Z             
2022-11-23T01:32:31.8614139Z  - 
2022-11-23T01:32:31.8614260Z             local 'ex[34]' TENSOR_MATCH
2022-11-23T01:32:31.8614330Z             {
2022-11-23T01:32:31.8614475Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8614586Z                 'code': None,
2022-11-23T01:32:31.8614792Z                 'obj_weakref': <weakref at 0x7f201e6b7a60; to 'Tensor' at 0x7f1ff8160310>
2022-11-23T01:32:31.8615031Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8615100Z             }
2022-11-23T01:32:31.8615162Z             
2022-11-23T01:32:31.8615240Z  - 
2022-11-23T01:32:31.8615369Z             local 'ex[35]' TENSOR_MATCH
2022-11-23T01:32:31.8615439Z             {
2022-11-23T01:32:31.8615584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8615697Z                 'code': None,
2022-11-23T01:32:31.8615904Z                 'obj_weakref': <weakref at 0x7f201e6b4130; to 'Tensor' at 0x7f1ff8162fc0>
2022-11-23T01:32:31.8616137Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8616206Z             }
2022-11-23T01:32:31.8616275Z             
2022-11-23T01:32:31.8616351Z  - 
2022-11-23T01:32:31.8616478Z             local 'ex[36]' TENSOR_MATCH
2022-11-23T01:32:31.8616550Z             {
2022-11-23T01:32:31.8616697Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8616801Z                 'code': None,
2022-11-23T01:32:31.8617008Z                 'obj_weakref': <weakref at 0x7f201e6b6930; to 'Tensor' at 0x7f1ff8160270>
2022-11-23T01:32:31.8617251Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8617322Z             }
2022-11-23T01:32:31.8617390Z             
2022-11-23T01:32:31.8617466Z  - 
2022-11-23T01:32:31.8617597Z             local 'ex[37]' TENSOR_MATCH
2022-11-23T01:32:31.8617658Z             {
2022-11-23T01:32:31.8617802Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8617913Z                 'code': None,
2022-11-23T01:32:31.8618120Z                 'obj_weakref': <weakref at 0x7f201e6b7b00; to 'Tensor' at 0x7f1ff8163650>
2022-11-23T01:32:31.8618359Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8618428Z             }
2022-11-23T01:32:31.8618496Z             
2022-11-23T01:32:31.8618564Z  - 
2022-11-23T01:32:31.8618694Z             local 'ex[38]' TENSOR_MATCH
2022-11-23T01:32:31.8618762Z             {
2022-11-23T01:32:31.8619098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8619234Z                 'code': None,
2022-11-23T01:32:31.8619440Z                 'obj_weakref': <weakref at 0x7f201e6b5300; to 'Tensor' at 0x7f1ff8162e30>
2022-11-23T01:32:31.8619680Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8619750Z             }
2022-11-23T01:32:31.8619812Z             
2022-11-23T01:32:31.8619887Z  - 
2022-11-23T01:32:31.8620015Z             local 'ex[39]' TENSOR_MATCH
2022-11-23T01:32:31.8620083Z             {
2022-11-23T01:32:31.8620227Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8620338Z                 'code': None,
2022-11-23T01:32:31.8620537Z                 'obj_weakref': <weakref at 0x7f201e6b7d30; to 'Tensor' at 0x7f1ff81614e0>
2022-11-23T01:32:31.8620779Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8620850Z             }
2022-11-23T01:32:31.8620918Z             
2022-11-23T01:32:31.8620997Z  - 
2022-11-23T01:32:31.8621123Z             local 'ex[40]' TENSOR_MATCH
2022-11-23T01:32:31.8621191Z             {
2022-11-23T01:32:31.8621328Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8621439Z                 'code': None,
2022-11-23T01:32:31.8621649Z                 'obj_weakref': <weakref at 0x7f201e6b4d60; to 'Tensor' at 0x7f1ff8161ee0>
2022-11-23T01:32:31.8621895Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8621963Z             }
2022-11-23T01:32:31.8622032Z             
2022-11-23T01:32:31.8622107Z  - 
2022-11-23T01:32:31.8622235Z             local 'ex[41]' TENSOR_MATCH
2022-11-23T01:32:31.8622297Z             {
2022-11-23T01:32:31.8622444Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8622553Z                 'code': None,
2022-11-23T01:32:31.8622761Z                 'obj_weakref': <weakref at 0x7f201e6b5490; to 'Tensor' at 0x7f1ff81636f0>
2022-11-23T01:32:31.8623005Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8623074Z             }
2022-11-23T01:32:31.8623142Z             
2022-11-23T01:32:31.8623211Z  - 
2022-11-23T01:32:31.8623339Z             local 'ex[42]' TENSOR_MATCH
2022-11-23T01:32:31.8623406Z             {
2022-11-23T01:32:31.8623551Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8623661Z                 'code': None,
2022-11-23T01:32:31.8623865Z                 'obj_weakref': <weakref at 0x7f201e378860; to 'Tensor' at 0x7f1ff8160220>
2022-11-23T01:32:31.8624104Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8624167Z             }
2022-11-23T01:32:31.8624235Z             
2022-11-23T01:32:31.8624310Z  - 
2022-11-23T01:32:31.8624441Z             local 'ex[43]' TENSOR_MATCH
2022-11-23T01:32:31.8624513Z             {
2022-11-23T01:32:31.8624660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8624770Z                 'code': None,
2022-11-23T01:32:31.8624970Z                 'obj_weakref': <weakref at 0x7f201e3794e0; to 'Tensor' at 0x7f1ff81613f0>
2022-11-23T01:32:31.8625207Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8625276Z             }
2022-11-23T01:32:31.8625344Z             
2022-11-23T01:32:31.8625420Z  - 
2022-11-23T01:32:31.8625547Z             local 'ex[44]' TENSOR_MATCH
2022-11-23T01:32:31.8625615Z             {
2022-11-23T01:32:31.8625789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8625951Z                 'code': None,
2022-11-23T01:32:31.8626238Z                 'obj_weakref': <weakref at 0x7f1fd83c2fc0; to 'Tensor' at 0x7f1ff8162d90>
2022-11-23T01:32:31.8626640Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8626776Z             }
2022-11-23T01:32:31.8626876Z             
2022-11-23T01:32:31.8626991Z  - 
2022-11-23T01:32:31.8627169Z             local 'ex[45]' TENSOR_MATCH
2022-11-23T01:32:31.8627268Z             {
2022-11-23T01:32:31.8627479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8627641Z                 'code': None,
2022-11-23T01:32:31.8627944Z                 'obj_weakref': <weakref at 0x7f1fd83c0ae0; to 'Tensor' at 0x7f1ff8163740>
2022-11-23T01:32:31.8628301Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8628402Z             }
2022-11-23T01:32:31.8628488Z             
2022-11-23T01:32:31.8628599Z  - 
2022-11-23T01:32:31.8628789Z             local 'ex[46]' TENSOR_MATCH
2022-11-23T01:32:31.8628885Z             {
2022-11-23T01:32:31.8629094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8629260Z                 'code': None,
2022-11-23T01:32:31.8629571Z                 'obj_weakref': <weakref at 0x7f1fd83c1710; to 'Tensor' at 0x7f1ff8161580>
2022-11-23T01:32:31.8629918Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8630016Z             }
2022-11-23T01:32:31.8630109Z             
2022-11-23T01:32:31.8630220Z  - 
2022-11-23T01:32:31.8630493Z             local 'ex[47]' TENSOR_MATCH
2022-11-23T01:32:31.8630594Z             {
2022-11-23T01:32:31.8630808Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8630961Z                 'code': None,
2022-11-23T01:32:31.8631251Z                 'obj_weakref': <weakref at 0x7f1fd83c3740; to 'Tensor' at 0x7f1ffad2f880>
2022-11-23T01:32:31.8631576Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8631646Z             }
2022-11-23T01:32:31.8631713Z             
2022-11-23T01:32:31.8631795Z  - 
2022-11-23T01:32:31.8631924Z             local 'ex[48]' TENSOR_MATCH
2022-11-23T01:32:31.8631988Z             {
2022-11-23T01:32:31.8632138Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8632250Z                 'code': None,
2022-11-23T01:32:31.8632460Z                 'obj_weakref': <weakref at 0x7f1fd83c1d50; to 'Tensor' at 0x7f1ffad2f650>
2022-11-23T01:32:31.8632703Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8632772Z             }
2022-11-23T01:32:31.8632840Z             
2022-11-23T01:32:31.8632908Z  - 
2022-11-23T01:32:31.8633036Z             local 'ex[49]' TENSOR_MATCH
2022-11-23T01:32:31.8633105Z             {
2022-11-23T01:32:31.8633250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8633366Z                 'code': None,
2022-11-23T01:32:31.8633575Z                 'obj_weakref': <weakref at 0x7f1fd83c3c90; to 'Tensor' at 0x7f1ffad2f0b0>
2022-11-23T01:32:31.8633816Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8633880Z             }
2022-11-23T01:32:31.8633947Z             
2022-11-23T01:32:31.8634022Z  - 
2022-11-23T01:32:31.8634147Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8634214Z             {
2022-11-23T01:32:31.8634351Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8634571Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8634686Z                 'obj_weakref': None
2022-11-23T01:32:31.8634910Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8634979Z             }
2022-11-23T01:32:31.8635048Z             
2022-11-23T01:32:31.8635122Z  - 
2022-11-23T01:32:31.8635307Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:31.8635374Z             {
2022-11-23T01:32:31.8635570Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.8635875Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292480384)', 'model.__closure__[0].cell_contents == 50'],
2022-11-23T01:32:31.8636001Z                 'obj_weakref': None
2022-11-23T01:32:31.8636219Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.8636287Z             }
2022-11-23T01:32:31.8636353Z             
2022-11-23T01:32:31.8636430Z  - 
2022-11-23T01:32:31.8636557Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:31.8636623Z             {
2022-11-23T01:32:31.8636745Z                 'guard_types': None,
2022-11-23T01:32:31.8636854Z                 'code': None,
2022-11-23T01:32:31.8636974Z                 'obj_weakref': None
2022-11-23T01:32:31.8637100Z                 'guarded_class': None
2022-11-23T01:32:31.8637169Z             }
2022-11-23T01:32:31.8637229Z             
2022-11-23T01:32:31.8637306Z  - 
2022-11-23T01:32:31.8637440Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.8637511Z             {
2022-11-23T01:32:31.8637633Z                 'guard_types': None,
2022-11-23T01:32:31.8637743Z                 'code': None,
2022-11-23T01:32:31.8637865Z                 'obj_weakref': None
2022-11-23T01:32:31.8637982Z                 'guarded_class': None
2022-11-23T01:32:31.8638050Z             }
2022-11-23T01:32:31.8638116Z             
2022-11-23T01:32:31.8638382Z [2022-11-23 01:30:06,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 622
2022-11-23T01:32:31.8638634Z [2022-11-23 01:30:06,736] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.8638882Z [2022-11-23 01:30:06,739] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8639125Z [2022-11-23 01:30:06,742] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:31.8639367Z [2022-11-23 01:30:06,744] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:31.8639608Z [2022-11-23 01:30:06,746] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:31.8639850Z [2022-11-23 01:30:06,748] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:31.8640091Z [2022-11-23 01:30:06,751] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf6')]
2022-11-23T01:32:31.8640097Z 
2022-11-23T01:32:31.8640198Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8640270Z import torch
2022-11-23T01:32:31.8640344Z import random
2022-11-23T01:32:31.8640467Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8640587Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8640600Z 
2022-11-23T01:32:31.8640676Z aten = torch.ops.aten
2022-11-23T01:32:31.8640820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8640918Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8640925Z 
2022-11-23T01:32:31.8640999Z import triton
2022-11-23T01:32:31.8641092Z import triton.language as tl
2022-11-23T01:32:31.8641219Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8641362Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8641368Z 
2022-11-23T01:32:31.8641373Z 
2022-11-23T01:32:31.8641601Z triton_fused_add_8_add_5_add_add_4_add_3_add_2_add_1_add_7_add_60 = async_compile.triton('''
2022-11-23T01:32:31.8641670Z import triton
2022-11-23T01:32:31.8641761Z import triton.language as tl
2022-11-23T01:32:31.8641878Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8641981Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8642119Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8642246Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8642252Z 
2022-11-23T01:32:31.8642782Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: '*fp32', 8: '*fp32', 9: '*fp32', 10: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10), equal_to_1=())]})
2022-11-23T01:32:31.8642885Z @triton.jit
2022-11-23T01:32:31.8643076Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5, in_ptr6, in_ptr7, in_ptr8, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8643154Z     xnumel = 64
2022-11-23T01:32:31.8643254Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8643385Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8643469Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8643540Z     x0 = xindex
2022-11-23T01:32:31.8643641Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8643732Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.8643829Z     tmp4 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.8643927Z     tmp6 = tl.load(in_ptr3 + (x0), xmask)
2022-11-23T01:32:31.8644022Z     tmp8 = tl.load(in_ptr4 + (x0), xmask)
2022-11-23T01:32:31.8644119Z     tmp10 = tl.load(in_ptr5 + (x0), xmask)
2022-11-23T01:32:31.8644216Z     tmp12 = tl.load(in_ptr6 + (x0), xmask)
2022-11-23T01:32:31.8644310Z     tmp14 = tl.load(in_ptr7 + (x0), xmask)
2022-11-23T01:32:31.8644399Z     tmp16 = tl.load(in_ptr8 + (x0), xmask)
2022-11-23T01:32:31.8644478Z     tmp1 = tmp0 + tmp0
2022-11-23T01:32:31.8644557Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:31.8644633Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:31.8644713Z     tmp7 = tmp5 + tmp6
2022-11-23T01:32:31.8644789Z     tmp9 = tmp7 + tmp8
2022-11-23T01:32:31.8644868Z     tmp11 = tmp9 + tmp10
2022-11-23T01:32:31.8644942Z     tmp13 = tmp11 + tmp12
2022-11-23T01:32:31.8645022Z     tmp15 = tmp13 + tmp14
2022-11-23T01:32:31.8645102Z     tmp17 = tmp15 + tmp16
2022-11-23T01:32:31.8645245Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:31.8645334Z ''')
2022-11-23T01:32:31.8645339Z 
2022-11-23T01:32:31.8645344Z 
2022-11-23T01:32:31.8645588Z triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21 = async_compile.triton('''
2022-11-23T01:32:31.8645664Z import triton
2022-11-23T01:32:31.8645757Z import triton.language as tl
2022-11-23T01:32:31.8645866Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8645969Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8646103Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8646232Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8646237Z 
2022-11-23T01:32:31.8646713Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: '*fp32', 8: '*fp32', 9: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), equal_to_1=())]})
2022-11-23T01:32:31.8646785Z @triton.jit
2022-11-23T01:32:31.8646977Z def kernel(in_out_ptr0, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, in_ptr5, in_ptr6, in_ptr7, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8647050Z     xnumel = 64
2022-11-23T01:32:31.8647141Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8647274Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8647358Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8647431Z     x0 = xindex
2022-11-23T01:32:31.8647537Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8647633Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8647727Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.8647815Z     tmp5 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:31.8647909Z     tmp7 = tl.load(in_ptr3 + (x0), xmask)
2022-11-23T01:32:31.8648005Z     tmp9 = tl.load(in_ptr4 + (x0), xmask)
2022-11-23T01:32:31.8648131Z     tmp11 = tl.load(in_ptr5 + (x0), xmask)
2022-11-23T01:32:31.8648228Z     tmp13 = tl.load(in_ptr6 + (x0), xmask)
2022-11-23T01:32:31.8648344Z     tmp15 = tl.load(in_ptr7 + (x0), xmask)
2022-11-23T01:32:31.8648422Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8648493Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.8648571Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:31.8648648Z     tmp8 = tmp6 + tmp7
2022-11-23T01:32:31.8648727Z     tmp10 = tmp8 + tmp9
2022-11-23T01:32:31.8648809Z     tmp12 = tmp10 + tmp11
2022-11-23T01:32:31.8648890Z     tmp14 = tmp12 + tmp13
2022-11-23T01:32:31.8648968Z     tmp16 = tmp14 + tmp15
2022-11-23T01:32:31.8649104Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:31.8649191Z ''')
2022-11-23T01:32:31.8649197Z 
2022-11-23T01:32:31.8649202Z 
2022-11-23T01:32:31.8649448Z triton_fused_add_8_add_30_add_15_add_add_14_add_27_add_2_add_41_add_7_add_402 = async_compile.triton('''
2022-11-23T01:32:31.8649522Z import triton
2022-11-23T01:32:31.8649617Z import triton.language as tl
2022-11-23T01:32:31.8649734Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8649841Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8649968Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8650095Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8650100Z 
2022-11-23T01:32:31.8650472Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.8650544Z @triton.jit
2022-11-23T01:32:31.8650682Z def kernel(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8650759Z     xnumel = 64
2022-11-23T01:32:31.8650857Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8650988Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8651064Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8651135Z     x0 = xindex
2022-11-23T01:32:31.8651240Z     tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8651337Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8651416Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8651557Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.8651641Z ''')
2022-11-23T01:32:31.8651647Z 
2022-11-23T01:32:31.8651652Z 
2022-11-23T01:32:31.8651743Z async_compile.wait(globals())
2022-11-23T01:32:31.8651814Z del async_compile
2022-11-23T01:32:31.8651819Z 
2022-11-23T01:32:31.8651894Z def call(args):
2022-11-23T01:32:31.8652219Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2022-11-23T01:32:31.8652297Z     args.clear()
2022-11-23T01:32:31.8652498Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8652592Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8652808Z     triton_fused_add_8_add_5_add_add_4_add_3_add_2_add_1_add_7_add_60.run(arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8652880Z     del arg0_1
2022-11-23T01:32:31.8652952Z     del arg1_1
2022-11-23T01:32:31.8653016Z     del arg2_1
2022-11-23T01:32:31.8653087Z     del arg3_1
2022-11-23T01:32:31.8653158Z     del arg4_1
2022-11-23T01:32:31.8653228Z     del arg5_1
2022-11-23T01:32:31.8653297Z     del arg6_1
2022-11-23T01:32:31.8653367Z     del arg7_1
2022-11-23T01:32:31.8653430Z     del arg8_1
2022-11-23T01:32:31.8653522Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:31.8653770Z     triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21.run(buf1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8653862Z     del arg10_1
2022-11-23T01:32:31.8653933Z     del arg11_1
2022-11-23T01:32:31.8654003Z     del arg12_1
2022-11-23T01:32:31.8654071Z     del arg13_1
2022-11-23T01:32:31.8654134Z     del arg14_1
2022-11-23T01:32:31.8654203Z     del arg15_1
2022-11-23T01:32:31.8654272Z     del arg16_1
2022-11-23T01:32:31.8654343Z     del arg9_1
2022-11-23T01:32:31.8654431Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:31.8654648Z     triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21.run(buf2, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8654719Z     del arg17_1
2022-11-23T01:32:31.8654783Z     del arg18_1
2022-11-23T01:32:31.8654854Z     del arg19_1
2022-11-23T01:32:31.8654923Z     del arg20_1
2022-11-23T01:32:31.8654992Z     del arg21_1
2022-11-23T01:32:31.8655064Z     del arg22_1
2022-11-23T01:32:31.8655134Z     del arg23_1
2022-11-23T01:32:31.8655207Z     del arg24_1
2022-11-23T01:32:31.8655288Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:31.8655495Z     triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21.run(buf3, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8655565Z     del arg25_1
2022-11-23T01:32:31.8655638Z     del arg26_1
2022-11-23T01:32:31.8655709Z     del arg27_1
2022-11-23T01:32:31.8655779Z     del arg28_1
2022-11-23T01:32:31.8655848Z     del arg29_1
2022-11-23T01:32:31.8655911Z     del arg30_1
2022-11-23T01:32:31.8655981Z     del arg31_1
2022-11-23T01:32:31.8656051Z     del arg32_1
2022-11-23T01:32:31.8656137Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:31.8656343Z     triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21.run(buf4, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8656415Z     del arg33_1
2022-11-23T01:32:31.8656487Z     del arg34_1
2022-11-23T01:32:31.8656551Z     del arg35_1
2022-11-23T01:32:31.8656621Z     del arg36_1
2022-11-23T01:32:31.8656691Z     del arg37_1
2022-11-23T01:32:31.8656766Z     del arg38_1
2022-11-23T01:32:31.8656835Z     del arg39_1
2022-11-23T01:32:31.8656904Z     del arg40_1
2022-11-23T01:32:31.8656993Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:31.8657188Z     triton_fused_add_8_add_10_add_15_add_9_add_5_add_add_14_add_13_add_12_add_21.run(buf5, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8657259Z     del arg41_1
2022-11-23T01:32:31.8657328Z     del arg42_1
2022-11-23T01:32:31.8657398Z     del arg43_1
2022-11-23T01:32:31.8657469Z     del arg44_1
2022-11-23T01:32:31.8657538Z     del arg45_1
2022-11-23T01:32:31.8657608Z     del arg46_1
2022-11-23T01:32:31.8657672Z     del arg47_1
2022-11-23T01:32:31.8657748Z     del arg48_1
2022-11-23T01:32:31.8657835Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:31.8658061Z     triton_fused_add_8_add_30_add_15_add_add_14_add_27_add_2_add_41_add_7_add_402.run(buf6, arg49_1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.8658166Z     del arg49_1
2022-11-23T01:32:31.8658275Z     return (buf6, )
2022-11-23T01:32:31.8658283Z 
2022-11-23T01:32:31.8658289Z 
2022-11-23T01:32:31.8658406Z if __name__ == "__main__":
2022-11-23T01:32:31.8658568Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8658729Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8659111Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8659378Z     arg1_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8659660Z     arg2_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8660040Z     arg3_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8660321Z     arg4_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8660624Z     arg5_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8660822Z     arg6_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8661009Z     arg7_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8661225Z     arg8_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8661489Z     arg9_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8661754Z     arg10_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8661984Z     arg11_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8662197Z     arg12_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8662466Z     arg13_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8662720Z     arg14_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8662946Z     arg15_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8663133Z     arg16_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8663318Z     arg17_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8663502Z     arg18_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8663689Z     arg19_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8663874Z     arg20_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664059Z     arg21_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664237Z     arg22_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664423Z     arg23_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664611Z     arg24_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664795Z     arg25_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8664981Z     arg26_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8665166Z     arg27_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8665350Z     arg28_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8665533Z     arg29_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8665712Z     arg30_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8665899Z     arg31_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8666087Z     arg32_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8666274Z     arg33_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8666459Z     arg34_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8666645Z     arg35_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8666829Z     arg36_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667015Z     arg37_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667194Z     arg38_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667379Z     arg39_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667566Z     arg40_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667751Z     arg41_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8667981Z     arg42_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8668190Z     arg43_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8668376Z     arg44_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8668562Z     arg45_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8668740Z     arg46_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8668925Z     arg47_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8669110Z     arg48_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8669296Z     arg49_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8669652Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2022-11-23T01:32:31.8670022Z [2022-11-23 01:30:06,959] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3d/c3dy3qpkthzwxxigfu73q7syxnmce467zupa4b2ix2rxu3m45zft.py
2022-11-23T01:32:31.8670370Z [2022-11-23 01:30:06,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 622
2022-11-23T01:32:31.8670378Z 
2022-11-23T01:32:31.8670490Z --> 7
2022-11-23T01:32:31.8670565Z ok (0.501s)
2022-11-23T01:32:31.8670884Z   test_no_op_reduction_cuda (__main__.CudaTests) ... [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8671207Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8671426Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8671682Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8671962Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8672283Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8672625Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8672947Z [2022-11-23 01:30:06,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8673319Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166> 
2022-11-23T01:32:31.8673419Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8673521Z                2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.8673661Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.8673749Z                6 CALL_METHOD              1
2022-11-23T01:32:31.8673851Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.8673946Z               10 LOAD_ATTR                2 (amax)
2022-11-23T01:32:31.8674042Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8674139Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8674223Z               16 BINARY_ADD
2022-11-23T01:32:31.8674317Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8674440Z               20 LOAD_CONST               3 (True)
2022-11-23T01:32:31.8674651Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:31.8674751Z               24 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.8674845Z               26 BUILD_TUPLE              2
2022-11-23T01:32:31.8674930Z               28 RETURN_VALUE
2022-11-23T01:32:31.8675000Z  
2022-11-23T01:32:31.8675005Z 
2022-11-23T01:32:31.8675321Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167
2022-11-23T01:32:31.8675528Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.8675771Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.8676047Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.8676358Z [2022-11-23 01:30:06,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:31.8676605Z [2022-11-23 01:30:06,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.8676994Z [2022-11-23 01:30:06,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8677337Z [2022-11-23 01:30:06,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8677705Z [2022-11-23 01:30:06,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8678118Z [2022-11-23 01:30:06,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8678487Z [2022-11-23 01:30:06,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8678891Z [2022-11-23 01:30:06,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8679344Z [2022-11-23 01:30:06,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8679832Z [2022-11-23 01:30:06,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8680103Z [2022-11-23 01:30:06,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8680344Z [2022-11-23 01:30:06,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8680716Z [2022-11-23 01:30:06,968] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166>
2022-11-23T01:32:31.8680962Z [2022-11-23 01:30:06,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8681198Z [2022-11-23 01:30:06,968] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8681493Z [2022-11-23 01:30:06,969] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8681867Z [2022-11-23 01:30:06,972] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8682145Z [2022-11-23 01:30:06,973] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8682343Z  __compiled_fn_640 <eval_with_key>.3959 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8682481Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8682681Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:31.8682938Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.8683307Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add, 1), {'keepdim': True}
2022-11-23T01:32:31.8683464Z output, output, output, ((sum_1, amax),), {}
2022-11-23T01:32:31.8683474Z 
2022-11-23T01:32:31.8683946Z [2022-11-23 01:30:06,973] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8684096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8684230Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8684361Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8684492Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8684617Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8684750Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8684866Z              12 RETURN_VALUE
2022-11-23T01:32:31.8684874Z 
2022-11-23T01:32:31.8684967Z  
2022-11-23T01:32:31.8685435Z [2022-11-23 01:30:06,973] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8685599Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_640)
2022-11-23T01:32:31.8685729Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8685866Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8685984Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8686118Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8686269Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8686401Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8686513Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8686611Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8686736Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8686865Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8686978Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8687103Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8687211Z              26 RETURN_VALUE
2022-11-23T01:32:31.8687219Z 
2022-11-23T01:32:31.8687310Z  
2022-11-23T01:32:31.8687547Z [2022-11-23 01:30:06,974] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8687618Z  - 
2022-11-23T01:32:31.8687746Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8687815Z             {
2022-11-23T01:32:31.8687966Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8688156Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8688282Z                 'obj_weakref': None
2022-11-23T01:32:31.8688510Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8688574Z             }
2022-11-23T01:32:31.8688642Z             
2022-11-23T01:32:31.8688719Z  - 
2022-11-23T01:32:31.8688848Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8688916Z             {
2022-11-23T01:32:31.8689063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8689176Z                 'code': None,
2022-11-23T01:32:31.8689384Z                 'obj_weakref': <weakref at 0x7f1fd9aab560; to 'Tensor' at 0x7f1ff815aed0>
2022-11-23T01:32:31.8689692Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8689793Z             }
2022-11-23T01:32:31.8689861Z             
2022-11-23T01:32:31.8689942Z  - 
2022-11-23T01:32:31.8690079Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8690148Z             {
2022-11-23T01:32:31.8690283Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8690458Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8690579Z                 'obj_weakref': None
2022-11-23T01:32:31.8690808Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8690878Z             }
2022-11-23T01:32:31.8690945Z             
2022-11-23T01:32:31.8691022Z  - 
2022-11-23T01:32:31.8691141Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8691212Z             {
2022-11-23T01:32:31.8691354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8691572Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8691698Z                 'obj_weakref': None
2022-11-23T01:32:31.8691926Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8691995Z             }
2022-11-23T01:32:31.8692057Z             
2022-11-23T01:32:31.8692132Z  - 
2022-11-23T01:32:31.8692270Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.8692338Z             {
2022-11-23T01:32:31.8692463Z                 'guard_types': None,
2022-11-23T01:32:31.8692574Z                 'code': None,
2022-11-23T01:32:31.8692697Z                 'obj_weakref': None
2022-11-23T01:32:31.8692815Z                 'guarded_class': None
2022-11-23T01:32:31.8692883Z             }
2022-11-23T01:32:31.8692950Z             
2022-11-23T01:32:31.8693216Z [2022-11-23 01:30:06,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 623
2022-11-23T01:32:31.8693514Z [2022-11-23 01:30:06,984] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8693878Z [2022-11-23 01:30:07,046] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/un/cunwwxkod7wjzlxdpv642hjz6uz6mlokr5mkaxpdhe24o5plibjs.py
2022-11-23T01:32:31.8694149Z [2022-11-23 01:30:07,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 623
2022-11-23T01:32:31.8694391Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8694699Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8694920Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8695179Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8695458Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8695775Z [2022-11-23 01:30:07,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8696117Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8696435Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8696804Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166> 
2022-11-23T01:32:31.8696937Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8697060Z                2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.8697197Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.8697294Z                6 CALL_METHOD              1
2022-11-23T01:32:31.8697395Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:31.8697493Z               10 LOAD_ATTR                2 (amax)
2022-11-23T01:32:31.8697591Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8697687Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8697765Z               16 BINARY_ADD
2022-11-23T01:32:31.8697853Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8697952Z               20 LOAD_CONST               3 (True)
2022-11-23T01:32:31.8698110Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:31.8698209Z               24 CALL_FUNCTION_KW         3
2022-11-23T01:32:31.8698306Z               26 BUILD_TUPLE              2
2022-11-23T01:32:31.8698391Z               28 RETURN_VALUE
2022-11-23T01:32:31.8698458Z  
2022-11-23T01:32:31.8698464Z 
2022-11-23T01:32:31.8698773Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167
2022-11-23T01:32:31.8699128Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.8699377Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.8699653Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.8699968Z [2022-11-23 01:30:07,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:31.8700221Z [2022-11-23 01:30:07,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.8700613Z [2022-11-23 01:30:07,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8700956Z [2022-11-23 01:30:07,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8701324Z [2022-11-23 01:30:07,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8701732Z [2022-11-23 01:30:07,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8702125Z [2022-11-23 01:30:07,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8702557Z [2022-11-23 01:30:07,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8703009Z [2022-11-23 01:30:07,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:31.8703490Z [2022-11-23 01:30:07,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:31.8703812Z [2022-11-23 01:30:07,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8704090Z [2022-11-23 01:30:07,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8704463Z [2022-11-23 01:30:07,054] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166>
2022-11-23T01:32:31.8704710Z [2022-11-23 01:30:07,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8704943Z [2022-11-23 01:30:07,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8705237Z [2022-11-23 01:30:07,055] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8705584Z [2022-11-23 01:30:07,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8705818Z [2022-11-23 01:30:07,059] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8705987Z  __compiled_fn_641 <eval_with_key>.3965 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8706112Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8706318Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:31.8706574Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.8706934Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (add, 1), {'keepdim': True}
2022-11-23T01:32:31.8707097Z output, output, output, ((sum_1, amax),), {}
2022-11-23T01:32:31.8707105Z 
2022-11-23T01:32:31.8707600Z [2022-11-23 01:30:07,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8707742Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8707873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8707999Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8708143Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8708269Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8708403Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8708517Z              12 RETURN_VALUE
2022-11-23T01:32:31.8708524Z 
2022-11-23T01:32:31.8708616Z  
2022-11-23T01:32:31.8709096Z [2022-11-23 01:30:07,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8709244Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_641)
2022-11-23T01:32:31.8709370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8709501Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8709619Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8709748Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8709907Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8710060Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8710198Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8710373Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8710527Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8710657Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8710772Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8710903Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8711018Z              26 RETURN_VALUE
2022-11-23T01:32:31.8711027Z 
2022-11-23T01:32:31.8711118Z  
2022-11-23T01:32:31.8711395Z [2022-11-23 01:30:07,060] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8711501Z  - 
2022-11-23T01:32:31.8711652Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8711738Z             {
2022-11-23T01:32:31.8711934Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8712268Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8712486Z                 'obj_weakref': None
2022-11-23T01:32:31.8712800Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8712902Z             }
2022-11-23T01:32:31.8713001Z             
2022-11-23T01:32:31.8713115Z  - 
2022-11-23T01:32:31.8713306Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8713401Z             {
2022-11-23T01:32:31.8713617Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8713767Z                 'code': None,
2022-11-23T01:32:31.8714055Z                 'obj_weakref': <weakref at 0x7f1fd9a8e930; to 'Tensor' at 0x7f2023356f70>
2022-11-23T01:32:31.8714362Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8714433Z             }
2022-11-23T01:32:31.8714501Z             
2022-11-23T01:32:31.8714580Z  - 
2022-11-23T01:32:31.8714717Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8714781Z             {
2022-11-23T01:32:31.8714921Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8715094Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8715218Z                 'obj_weakref': None
2022-11-23T01:32:31.8715446Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8715518Z             }
2022-11-23T01:32:31.8715586Z             
2022-11-23T01:32:31.8715656Z  - 
2022-11-23T01:32:31.8715782Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8715854Z             {
2022-11-23T01:32:31.8715994Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8716209Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8716335Z                 'obj_weakref': None
2022-11-23T01:32:31.8716563Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8716627Z             }
2022-11-23T01:32:31.8716694Z             
2022-11-23T01:32:31.8716768Z  - 
2022-11-23T01:32:31.8716904Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.8716974Z             {
2022-11-23T01:32:31.8717097Z                 'guard_types': None,
2022-11-23T01:32:31.8717208Z                 'code': None,
2022-11-23T01:32:31.8717323Z                 'obj_weakref': None
2022-11-23T01:32:31.8717449Z                 'guarded_class': None
2022-11-23T01:32:31.8717516Z             }
2022-11-23T01:32:31.8717584Z             
2022-11-23T01:32:31.8717844Z [2022-11-23 01:30:07,065] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 624
2022-11-23T01:32:31.8718132Z [2022-11-23 01:30:07,071] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8718501Z [2022-11-23 01:30:07,134] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/js/cjsqpokeutsubbnphmgtddl2jssobeqq72jo6i55zhfla5ca7s3i.py
2022-11-23T01:32:31.8718768Z [2022-11-23 01:30:07,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 624
2022-11-23T01:32:31.8718774Z 
2022-11-23T01:32:31.8718868Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8718942Z import torch
2022-11-23T01:32:31.8719017Z import random
2022-11-23T01:32:31.8719140Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8719265Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8719271Z 
2022-11-23T01:32:31.8719355Z aten = torch.ops.aten
2022-11-23T01:32:31.8719493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8719585Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8719601Z 
2022-11-23T01:32:31.8719670Z import triton
2022-11-23T01:32:31.8719766Z import triton.language as tl
2022-11-23T01:32:31.8719894Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8720087Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8720113Z 
2022-11-23T01:32:31.8720117Z 
2022-11-23T01:32:31.8720292Z triton_fused_add_sum_1_amax0 = async_compile.triton('''
2022-11-23T01:32:31.8720367Z import triton
2022-11-23T01:32:31.8720461Z import triton.language as tl
2022-11-23T01:32:31.8720570Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8720673Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8720807Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8720934Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8720940Z 
2022-11-23T01:32:31.8721324Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.8721398Z @triton.jit
2022-11-23T01:32:31.8721546Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8721622Z     xnumel = 8
2022-11-23T01:32:31.8721714Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8721846Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8721931Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8722004Z     x0 = xindex
2022-11-23T01:32:31.8722102Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8722174Z     tmp1 = 1
2022-11-23T01:32:31.8722256Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8722386Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.8722522Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.8722607Z ''')
2022-11-23T01:32:31.8722612Z 
2022-11-23T01:32:31.8722617Z 
2022-11-23T01:32:31.8722716Z async_compile.wait(globals())
2022-11-23T01:32:31.8722795Z del async_compile
2022-11-23T01:32:31.8722800Z 
2022-11-23T01:32:31.8722875Z def call(args):
2022-11-23T01:32:31.8722952Z     arg0_1, = args
2022-11-23T01:32:31.8723031Z     args.clear()
2022-11-23T01:32:31.8723223Z     buf0 = empty_strided((8, 1), (1, 8), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8723430Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8723522Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8723673Z     triton_fused_add_sum_1_amax0.run(arg0_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.8723748Z     del arg0_1
2022-11-23T01:32:31.8723829Z     return (buf0, buf1, )
2022-11-23T01:32:31.8723835Z 
2022-11-23T01:32:31.8723839Z 
2022-11-23T01:32:31.8723920Z if __name__ == "__main__":
2022-11-23T01:32:31.8724042Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8724163Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8724369Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8724485Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8724490Z 
2022-11-23T01:32:31.8724497Z 
2022-11-23T01:32:31.8724597Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8724671Z import torch
2022-11-23T01:32:31.8724746Z import random
2022-11-23T01:32:31.8724868Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8724986Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8724997Z 
2022-11-23T01:32:31.8725074Z aten = torch.ops.aten
2022-11-23T01:32:31.8725213Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8725309Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8725314Z 
2022-11-23T01:32:31.8725389Z import triton
2022-11-23T01:32:31.8725481Z import triton.language as tl
2022-11-23T01:32:31.8725607Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8725749Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8725754Z 
2022-11-23T01:32:31.8725759Z 
2022-11-23T01:32:31.8725954Z triton_fused_sum_1_add_amax0 = async_compile.triton('''
2022-11-23T01:32:31.8726050Z import triton
2022-11-23T01:32:31.8726144Z import triton.language as tl
2022-11-23T01:32:31.8726257Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8726360Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8726494Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8726624Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8726629Z 
2022-11-23T01:32:31.8727009Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.8727076Z @triton.jit
2022-11-23T01:32:31.8727220Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8727295Z     xnumel = 8
2022-11-23T01:32:31.8727395Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8727529Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8727616Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8727688Z     x0 = xindex
2022-11-23T01:32:31.8727800Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.8727873Z     tmp1 = 1
2022-11-23T01:32:31.8727950Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8728088Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.8728223Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.8728312Z ''')
2022-11-23T01:32:31.8728317Z 
2022-11-23T01:32:31.8728322Z 
2022-11-23T01:32:31.8728415Z async_compile.wait(globals())
2022-11-23T01:32:31.8728493Z del async_compile
2022-11-23T01:32:31.8728498Z 
2022-11-23T01:32:31.8728567Z def call(args):
2022-11-23T01:32:31.8728642Z     arg0_1, = args
2022-11-23T01:32:31.8728718Z     args.clear()
2022-11-23T01:32:31.8728916Z     buf0 = empty_strided((8, 1), (1, 8), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8729118Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8729213Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8729365Z     triton_fused_sum_1_add_amax0.run(arg0_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:31.8729432Z     del arg0_1
2022-11-23T01:32:31.8729514Z     return (buf0, buf1, )
2022-11-23T01:32:31.8729519Z 
2022-11-23T01:32:31.8729523Z 
2022-11-23T01:32:31.8729604Z if __name__ == "__main__":
2022-11-23T01:32:31.8729722Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8729849Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8730056Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8730169Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8730174Z 
2022-11-23T01:32:31.8730248Z ok (0.174s)
2022-11-23T01:32:31.8730373Z   test_permute_bmm_fusion (__main__.CudaTests) ... ok (0.004s)
2022-11-23T01:32:31.8730681Z   test_permute_cuda (__main__.CudaTests) ... [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8730997Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8731217Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8731473Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8731751Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8732067Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8732436Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8732774Z [2022-11-23 01:30:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8733153Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251> 
2022-11-23T01:32:31.8733293Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.8733431Z                2 LOAD_METHOD              1 (permute)
2022-11-23T01:32:31.8733568Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8733709Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.8733818Z                8 BINARY_ADD
2022-11-23T01:32:31.8733931Z               10 BUILD_LIST               0
2022-11-23T01:32:31.8734056Z               12 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:31.8734168Z               14 LIST_EXTEND              1
2022-11-23T01:32:31.8734288Z               16 CALL_METHOD              2
2022-11-23T01:32:31.8734415Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8734530Z               20 BINARY_ADD
2022-11-23T01:32:31.8734538Z 
2022-11-23T01:32:31.8734675Z 1254          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.8734815Z               24 LOAD_METHOD              1 (permute)
2022-11-23T01:32:31.8734948Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8735073Z               28 BUILD_LIST               0
2022-11-23T01:32:31.8735206Z               30 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:31.8735333Z               32 LIST_EXTEND              1
2022-11-23T01:32:31.8735462Z               34 CALL_METHOD              2
2022-11-23T01:32:31.8735588Z               36 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8735703Z               38 BINARY_ADD
2022-11-23T01:32:31.8735713Z 
2022-11-23T01:32:31.8735847Z 1252          40 BUILD_TUPLE              2
2022-11-23T01:32:31.8735957Z               42 RETURN_VALUE
2022-11-23T01:32:31.8736047Z  
2022-11-23T01:32:31.8736065Z 
2022-11-23T01:32:31.8736521Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253
2022-11-23T01:32:31.8736832Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.8737385Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8737853Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8738358Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8738998Z [2022-11-23 01:30:07,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8739489Z [2022-11-23 01:30:07,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8740045Z [2022-11-23 01:30:07,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8740753Z [2022-11-23 01:30:07,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8741379Z [2022-11-23 01:30:07,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8741714Z [2022-11-23 01:30:07,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.8742074Z [2022-11-23 01:30:07,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8742383Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254
2022-11-23T01:32:31.8742631Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.8743026Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8743372Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8743743Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8744150Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8744586Z [2022-11-23 01:30:07,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8744988Z [2022-11-23 01:30:07,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8745251Z [2022-11-23 01:30:07,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8745554Z [2022-11-23 01:30:07,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8745862Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252
2022-11-23T01:32:31.8746129Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8746378Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8746745Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251>
2022-11-23T01:32:31.8746992Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8747228Z [2022-11-23 01:30:07,149] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8747483Z [2022-11-23 01:30:07,150] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8747735Z [2022-11-23 01:30:07,154] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8747928Z [2022-11-23 01:30:07,154] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8748113Z  __compiled_fn_642 <eval_with_key>.3973 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8748211Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8748407Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.8748663Z call_function, permute, <built-in method permute of type object at 0x7f209c394c60>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:31.8748847Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T01:32:31.8749101Z call_function, permute_1, <built-in method permute of type object at 0x7f209c394c60>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:31.8749287Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T01:32:31.8749395Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:31.8749400Z 
2022-11-23T01:32:31.8749726Z [2022-11-23 01:30:07,155] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8749828Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8749927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8750017Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8750118Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8750210Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8750378Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8750474Z              12 RETURN_VALUE
2022-11-23T01:32:31.8750480Z 
2022-11-23T01:32:31.8750559Z  
2022-11-23T01:32:31.8750896Z [2022-11-23 01:30:07,155] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8751014Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_642)
2022-11-23T01:32:31.8751104Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8751201Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8751284Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8751380Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8751491Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8751601Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8751698Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8751773Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8751882Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8751977Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8752058Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8752151Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8752233Z              26 RETURN_VALUE
2022-11-23T01:32:31.8752238Z 
2022-11-23T01:32:31.8752304Z  
2022-11-23T01:32:31.8752484Z [2022-11-23 01:30:07,155] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8752560Z  - 
2022-11-23T01:32:31.8752683Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8752752Z             {
2022-11-23T01:32:31.8752899Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8753090Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8753213Z                 'obj_weakref': None
2022-11-23T01:32:31.8753431Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8753500Z             }
2022-11-23T01:32:31.8753569Z             
2022-11-23T01:32:31.8753645Z  - 
2022-11-23T01:32:31.8753776Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8753846Z             {
2022-11-23T01:32:31.8753992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8754098Z                 'code': None,
2022-11-23T01:32:31.8754312Z                 'obj_weakref': <weakref at 0x7f1fd9a8f510; to 'Tensor' at 0x7f1fd8179c10>
2022-11-23T01:32:31.8754559Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8754627Z             }
2022-11-23T01:32:31.8754729Z             
2022-11-23T01:32:31.8754824Z  - 
2022-11-23T01:32:31.8754959Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8755022Z             {
2022-11-23T01:32:31.8755163Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8755338Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8755464Z                 'obj_weakref': None
2022-11-23T01:32:31.8755694Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8755762Z             }
2022-11-23T01:32:31.8755831Z             
2022-11-23T01:32:31.8755900Z  - 
2022-11-23T01:32:31.8756026Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8756095Z             {
2022-11-23T01:32:31.8756236Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8756454Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8756580Z                 'obj_weakref': None
2022-11-23T01:32:31.8756806Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8756871Z             }
2022-11-23T01:32:31.8756939Z             
2022-11-23T01:32:31.8757014Z  - 
2022-11-23T01:32:31.8757153Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.8757221Z             {
2022-11-23T01:32:31.8757347Z                 'guard_types': None,
2022-11-23T01:32:31.8757468Z                 'code': None,
2022-11-23T01:32:31.8757620Z                 'obj_weakref': None
2022-11-23T01:32:31.8757803Z                 'guarded_class': None
2022-11-23T01:32:31.8757904Z             }
2022-11-23T01:32:31.8758010Z             
2022-11-23T01:32:31.8758385Z [2022-11-23 01:30:07,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 625
2022-11-23T01:32:31.8758750Z [2022-11-23 01:30:07,177] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8759121Z [2022-11-23 01:30:07,242] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pm/cpmv7n3jlryadlvyd23cmsbejksnxm34rdiorqinfixaa2bub6ju.py
2022-11-23T01:32:31.8759391Z [2022-11-23 01:30:07,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 625
2022-11-23T01:32:31.8759670Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8760104Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8760344Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8760599Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8760957Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8761385Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8761731Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8762050Z [2022-11-23 01:30:07,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8762420Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251> 
2022-11-23T01:32:31.8762524Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.8762624Z                2 LOAD_METHOD              1 (permute)
2022-11-23T01:32:31.8762773Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8762896Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:31.8762976Z                8 BINARY_ADD
2022-11-23T01:32:31.8763069Z               10 BUILD_LIST               0
2022-11-23T01:32:31.8763175Z               12 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:31.8763268Z               14 LIST_EXTEND              1
2022-11-23T01:32:31.8763355Z               16 CALL_METHOD              2
2022-11-23T01:32:31.8763449Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8763527Z               20 BINARY_ADD
2022-11-23T01:32:31.8763533Z 
2022-11-23T01:32:31.8763637Z 1254          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.8763740Z               24 LOAD_METHOD              1 (permute)
2022-11-23T01:32:31.8763836Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:31.8763928Z               28 BUILD_LIST               0
2022-11-23T01:32:31.8764036Z               30 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:32:31.8764122Z               32 LIST_EXTEND              1
2022-11-23T01:32:31.8764218Z               34 CALL_METHOD              2
2022-11-23T01:32:31.8764311Z               36 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8764392Z               38 BINARY_ADD
2022-11-23T01:32:31.8764396Z 
2022-11-23T01:32:31.8764490Z 1252          40 BUILD_TUPLE              2
2022-11-23T01:32:31.8764571Z               42 RETURN_VALUE
2022-11-23T01:32:31.8764638Z  
2022-11-23T01:32:31.8764643Z 
2022-11-23T01:32:31.8764952Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253
2022-11-23T01:32:31.8765176Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.8765543Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8765866Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8766215Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8766597Z [2022-11-23 01:30:07,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8766940Z [2022-11-23 01:30:07,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8767322Z [2022-11-23 01:30:07,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8767734Z [2022-11-23 01:30:07,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8768102Z [2022-11-23 01:30:07,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8768341Z [2022-11-23 01:30:07,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:31.8768620Z [2022-11-23 01:30:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8768927Z [2022-11-23 01:30:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254
2022-11-23T01:32:31.8769196Z [2022-11-23 01:30:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.8769603Z [2022-11-23 01:30:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.8769947Z [2022-11-23 01:30:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.8770317Z [2022-11-23 01:30:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.8770723Z [2022-11-23 01:30:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8771158Z [2022-11-23 01:30:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.8771557Z [2022-11-23 01:30:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.8771823Z [2022-11-23 01:30:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8772170Z [2022-11-23 01:30:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8772488Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252
2022-11-23T01:32:31.8772753Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8772997Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8773358Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251>
2022-11-23T01:32:31.8773605Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8773837Z [2022-11-23 01:30:07,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8774089Z [2022-11-23 01:30:07,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8774348Z [2022-11-23 01:30:07,257] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8774544Z [2022-11-23 01:30:07,257] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8774685Z  __compiled_fn_643 <eval_with_key>.3979 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8774779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8774957Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.8775205Z call_function, permute, <built-in method permute of type object at 0x7f209c394c60>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:31.8775394Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T01:32:31.8775647Z call_function, permute_1, <built-in method permute of type object at 0x7f209c394c60>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:31.8775833Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T01:32:31.8775944Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:31.8775950Z 
2022-11-23T01:32:31.8776302Z [2022-11-23 01:30:07,258] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8776427Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8776524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8776611Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8776712Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8776802Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8776896Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8776977Z              12 RETURN_VALUE
2022-11-23T01:32:31.8776982Z 
2022-11-23T01:32:31.8777047Z  
2022-11-23T01:32:31.8777366Z [2022-11-23 01:30:07,258] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8777482Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_643)
2022-11-23T01:32:31.8777574Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8777673Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8777755Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8777850Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8777960Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8778068Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8778164Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8778240Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8778349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8778443Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8778523Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8778616Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.8778697Z              26 RETURN_VALUE
2022-11-23T01:32:31.8778703Z 
2022-11-23T01:32:31.8778768Z  
2022-11-23T01:32:31.8779116Z [2022-11-23 01:30:07,258] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8779198Z  - 
2022-11-23T01:32:31.8779321Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8779391Z             {
2022-11-23T01:32:31.8779537Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8779725Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8779852Z                 'obj_weakref': None
2022-11-23T01:32:31.8780069Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8780140Z             }
2022-11-23T01:32:31.8780208Z             
2022-11-23T01:32:31.8780284Z  - 
2022-11-23T01:32:31.8780415Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8780484Z             {
2022-11-23T01:32:31.8780630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8780735Z                 'code': None,
2022-11-23T01:32:31.8780951Z                 'obj_weakref': <weakref at 0x7f1fd97e7510; to 'Tensor' at 0x7f1ffad2f0b0>
2022-11-23T01:32:31.8781201Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8781270Z             }
2022-11-23T01:32:31.8781338Z             
2022-11-23T01:32:31.8781414Z  - 
2022-11-23T01:32:31.8781548Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8781610Z             {
2022-11-23T01:32:31.8781749Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8781923Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8782046Z                 'obj_weakref': None
2022-11-23T01:32:31.8782275Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8782344Z             }
2022-11-23T01:32:31.8782412Z             
2022-11-23T01:32:31.8782481Z  - 
2022-11-23T01:32:31.8782605Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8782725Z             {
2022-11-23T01:32:31.8782867Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8783114Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8783236Z                 'obj_weakref': None
2022-11-23T01:32:31.8783456Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8783525Z             }
2022-11-23T01:32:31.8783587Z             
2022-11-23T01:32:31.8783662Z  - 
2022-11-23T01:32:31.8783797Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.8783866Z             {
2022-11-23T01:32:31.8783991Z                 'guard_types': None,
2022-11-23T01:32:31.8784102Z                 'code': None,
2022-11-23T01:32:31.8784216Z                 'obj_weakref': None
2022-11-23T01:32:31.8784340Z                 'guarded_class': None
2022-11-23T01:32:31.8784408Z             }
2022-11-23T01:32:31.8784476Z             
2022-11-23T01:32:31.8784738Z [2022-11-23 01:30:07,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 626
2022-11-23T01:32:31.8785032Z [2022-11-23 01:30:07,274] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.8785387Z [2022-11-23 01:30:07,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clfws3pq4gg2cz2ri3kkr4rgkeibbts2k6nsl4akbiqhzre3cudq.py
2022-11-23T01:32:31.8785652Z [2022-11-23 01:30:07,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 626
2022-11-23T01:32:31.8785658Z 
2022-11-23T01:32:31.8785751Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8785826Z import torch
2022-11-23T01:32:31.8785901Z import random
2022-11-23T01:32:31.8786022Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8786152Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8786157Z 
2022-11-23T01:32:31.8786240Z aten = torch.ops.aten
2022-11-23T01:32:31.8786383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8786483Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8786488Z 
2022-11-23T01:32:31.8786556Z import triton
2022-11-23T01:32:31.8786649Z import triton.language as tl
2022-11-23T01:32:31.8786776Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8786919Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8786924Z 
2022-11-23T01:32:31.8786929Z 
2022-11-23T01:32:31.8787135Z triton_fused_add_1_add_permute_1_add_2_permute0 = async_compile.triton('''
2022-11-23T01:32:31.8787210Z import triton
2022-11-23T01:32:31.8787303Z import triton.language as tl
2022-11-23T01:32:31.8787418Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8787514Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8787649Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8787779Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8787784Z 
2022-11-23T01:32:31.8788175Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.8788255Z @triton.jit
2022-11-23T01:32:31.8788404Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8788478Z     xnumel = 32
2022-11-23T01:32:31.8788570Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8788702Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8788786Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8788857Z     x0 = xindex
2022-11-23T01:32:31.8788955Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8789026Z     tmp1 = 1
2022-11-23T01:32:31.8789106Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8789171Z     tmp3 = 2
2022-11-23T01:32:31.8789251Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.8789381Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:31.8789552Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.8789689Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.8789777Z ''')
2022-11-23T01:32:31.8789783Z 
2022-11-23T01:32:31.8789788Z 
2022-11-23T01:32:31.8789881Z async_compile.wait(globals())
2022-11-23T01:32:31.8789959Z del async_compile
2022-11-23T01:32:31.8789964Z 
2022-11-23T01:32:31.8790033Z def call(args):
2022-11-23T01:32:31.8790107Z     arg0_1, = args
2022-11-23T01:32:31.8790182Z     args.clear()
2022-11-23T01:32:31.8790495Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8790741Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8790857Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8791052Z     triton_fused_add_1_add_permute_1_add_2_permute0.run(arg0_1, buf0, buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.8791122Z     del arg0_1
2022-11-23T01:32:31.8791206Z     return (buf0, buf1, )
2022-11-23T01:32:31.8791211Z 
2022-11-23T01:32:31.8791216Z 
2022-11-23T01:32:31.8791298Z if __name__ == "__main__":
2022-11-23T01:32:31.8791424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8791561Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8791810Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8791931Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8791936Z 
2022-11-23T01:32:31.8791941Z 
2022-11-23T01:32:31.8792044Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8792118Z import torch
2022-11-23T01:32:31.8792187Z import random
2022-11-23T01:32:31.8792315Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8792449Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8792454Z 
2022-11-23T01:32:31.8792541Z aten = torch.ops.aten
2022-11-23T01:32:31.8792695Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8792795Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8792801Z 
2022-11-23T01:32:31.8792875Z import triton
2022-11-23T01:32:31.8792965Z import triton.language as tl
2022-11-23T01:32:31.8793103Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8793255Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8793260Z 
2022-11-23T01:32:31.8793265Z 
2022-11-23T01:32:31.8793495Z triton_fused_add_permute_permute_1_add_2_add_10 = async_compile.triton('''
2022-11-23T01:32:31.8793571Z import triton
2022-11-23T01:32:31.8793668Z import triton.language as tl
2022-11-23T01:32:31.8793789Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8793898Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8794036Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8794172Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8794179Z 
2022-11-23T01:32:31.8794635Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.8794708Z @triton.jit
2022-11-23T01:32:31.8794862Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8794936Z     xnumel = 32
2022-11-23T01:32:31.8795038Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8795177Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8795256Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8795327Z     x0 = xindex
2022-11-23T01:32:31.8795451Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.8795522Z     tmp1 = 1
2022-11-23T01:32:31.8795602Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.8795673Z     tmp3 = 2
2022-11-23T01:32:31.8795786Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:31.8795888Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:31.8796024Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.8796158Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.8796247Z ''')
2022-11-23T01:32:31.8796253Z 
2022-11-23T01:32:31.8796257Z 
2022-11-23T01:32:31.8796351Z async_compile.wait(globals())
2022-11-23T01:32:31.8796428Z del async_compile
2022-11-23T01:32:31.8796433Z 
2022-11-23T01:32:31.8796508Z def call(args):
2022-11-23T01:32:31.8796575Z     arg0_1, = args
2022-11-23T01:32:31.8796651Z     args.clear()
2022-11-23T01:32:31.8796868Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8797082Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8797173Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8797348Z     triton_fused_add_permute_permute_1_add_2_add_10.run(arg0_1, buf0, buf1, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:31.8797425Z     del arg0_1
2022-11-23T01:32:31.8797509Z     return (buf0, buf1, )
2022-11-23T01:32:31.8797515Z 
2022-11-23T01:32:31.8797519Z 
2022-11-23T01:32:31.8797593Z if __name__ == "__main__":
2022-11-23T01:32:31.8797712Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8797840Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8798057Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8798169Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8798174Z 
2022-11-23T01:32:31.8798246Z ok (0.200s)
2022-11-23T01:32:31.8798377Z   test_permute_linear_fusion (__main__.CudaTests) ... ok (0.004s)
2022-11-23T01:32:31.8798682Z   test_pow1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:07,347] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8798995Z [2022-11-23 01:30:07,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8799219Z [2022-11-23 01:30:07,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8799475Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8799752Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8800066Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8800407Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8800725Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8801094Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510> 
2022-11-23T01:32:31.8801197Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T01:32:31.8801294Z                2 BUILD_TUPLE              1
2022-11-23T01:32:31.8801509Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>)
2022-11-23T01:32:31.8801743Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:31.8801860Z                8 MAKE_FUNCTION            8 (closure)
2022-11-23T01:32:31.8801974Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:31.8802164Z               12 LOAD_CONST               3 (-8)
2022-11-23T01:32:31.8802281Z               14 LOAD_CONST               4 (9)
2022-11-23T01:32:31.8802379Z               16 CALL_FUNCTION            2
2022-11-23T01:32:31.8802454Z               18 GET_ITER
2022-11-23T01:32:31.8802544Z               20 CALL_FUNCTION            1
2022-11-23T01:32:31.8802625Z               22 RETURN_VALUE
2022-11-23T01:32:31.8802692Z  
2022-11-23T01:32:31.8802697Z 
2022-11-23T01:32:31.8803009Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511
2022-11-23T01:32:31.8803227Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T01:32:31.8803472Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T01:32:31.8803887Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T01:32:31.8804254Z [2022-11-23 01:30:07,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T01:32:31.8804567Z [2022-11-23 01:30:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:31.8804835Z [2022-11-23 01:30:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T01:32:31.8805142Z [2022-11-23 01:30:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T01:32:31.8805475Z [2022-11-23 01:30:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:31.8805852Z [2022-11-23 01:30:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8806145Z [2022-11-23 01:30:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T01:32:31.8806454Z [2022-11-23 01:30:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8806834Z [2022-11-23 01:30:07,350] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 
2022-11-23T01:32:31.8806931Z  2511           0 BUILD_LIST               0
2022-11-23T01:32:31.8807030Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:31.8807128Z          >>    4 FOR_ITER                 8 (to 22)
2022-11-23T01:32:31.8807221Z                6 STORE_FAST               1 (e)
2022-11-23T01:32:31.8807324Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8807424Z               10 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.8807521Z               12 LOAD_DEREF               0 (x)
2022-11-23T01:32:31.8807615Z               14 LOAD_FAST                1 (e)
2022-11-23T01:32:31.8807709Z               16 CALL_METHOD              2
2022-11-23T01:32:31.8807807Z               18 LIST_APPEND              2
2022-11-23T01:32:31.8807902Z               20 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:31.8807983Z          >>   22 RETURN_VALUE
2022-11-23T01:32:31.8808048Z  
2022-11-23T01:32:31.8808053Z 
2022-11-23T01:32:31.8808270Z [2022-11-23 01:30:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:31.8808506Z [2022-11-23 01:30:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:31.8808804Z [2022-11-23 01:30:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8809129Z [2022-11-23 01:30:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8809407Z [2022-11-23 01:30:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8809771Z [2022-11-23 01:30:07,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8810075Z [2022-11-23 01:30:07,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8810417Z [2022-11-23 01:30:07,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8810794Z [2022-11-23 01:30:07,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8811100Z [2022-11-23 01:30:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8811378Z [2022-11-23 01:30:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8811650Z [2022-11-23 01:30:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8811958Z [2022-11-23 01:30:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8812240Z [2022-11-23 01:30:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8812601Z [2022-11-23 01:30:07,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8812913Z [2022-11-23 01:30:07,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8813247Z [2022-11-23 01:30:07,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8813620Z [2022-11-23 01:30:07,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8813916Z [2022-11-23 01:30:07,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8814196Z [2022-11-23 01:30:07,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8814469Z [2022-11-23 01:30:07,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8814777Z [2022-11-23 01:30:07,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8815060Z [2022-11-23 01:30:07,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8815427Z [2022-11-23 01:30:07,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8815764Z [2022-11-23 01:30:07,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8816105Z [2022-11-23 01:30:07,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8816500Z [2022-11-23 01:30:07,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8816803Z [2022-11-23 01:30:07,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8817081Z [2022-11-23 01:30:07,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8817348Z [2022-11-23 01:30:07,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8817657Z [2022-11-23 01:30:07,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8817937Z [2022-11-23 01:30:07,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8818295Z [2022-11-23 01:30:07,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8818604Z [2022-11-23 01:30:07,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8819052Z [2022-11-23 01:30:07,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8819433Z [2022-11-23 01:30:07,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8819737Z [2022-11-23 01:30:07,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8820014Z [2022-11-23 01:30:07,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8820284Z [2022-11-23 01:30:07,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8820589Z [2022-11-23 01:30:07,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8820869Z [2022-11-23 01:30:07,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8821222Z [2022-11-23 01:30:07,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8821534Z [2022-11-23 01:30:07,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8821869Z [2022-11-23 01:30:07,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8822242Z [2022-11-23 01:30:07,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8822543Z [2022-11-23 01:30:07,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8822821Z [2022-11-23 01:30:07,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8823134Z [2022-11-23 01:30:07,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8823465Z [2022-11-23 01:30:07,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8823741Z [2022-11-23 01:30:07,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8824098Z [2022-11-23 01:30:07,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8824407Z [2022-11-23 01:30:07,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8824735Z [2022-11-23 01:30:07,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8825113Z [2022-11-23 01:30:07,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8825419Z [2022-11-23 01:30:07,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8825701Z [2022-11-23 01:30:07,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8825973Z [2022-11-23 01:30:07,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8826281Z [2022-11-23 01:30:07,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8826564Z [2022-11-23 01:30:07,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8826928Z [2022-11-23 01:30:07,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8827241Z [2022-11-23 01:30:07,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8827586Z [2022-11-23 01:30:07,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8827962Z [2022-11-23 01:30:07,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8828261Z [2022-11-23 01:30:07,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8828533Z [2022-11-23 01:30:07,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8828808Z [2022-11-23 01:30:07,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8829117Z [2022-11-23 01:30:07,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8829397Z [2022-11-23 01:30:07,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8829760Z [2022-11-23 01:30:07,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8830098Z [2022-11-23 01:30:07,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8830524Z [2022-11-23 01:30:07,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8830975Z [2022-11-23 01:30:07,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8831280Z [2022-11-23 01:30:07,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8831561Z [2022-11-23 01:30:07,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8831835Z [2022-11-23 01:30:07,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8832139Z [2022-11-23 01:30:07,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8832422Z [2022-11-23 01:30:07,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8832783Z [2022-11-23 01:30:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8833096Z [2022-11-23 01:30:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8833434Z [2022-11-23 01:30:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8833813Z [2022-11-23 01:30:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8834119Z [2022-11-23 01:30:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8834394Z [2022-11-23 01:30:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8834663Z [2022-11-23 01:30:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8834966Z [2022-11-23 01:30:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8835245Z [2022-11-23 01:30:07,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8835602Z [2022-11-23 01:30:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8835915Z [2022-11-23 01:30:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8836252Z [2022-11-23 01:30:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8836629Z [2022-11-23 01:30:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8836932Z [2022-11-23 01:30:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8837213Z [2022-11-23 01:30:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8837510Z [2022-11-23 01:30:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8837851Z [2022-11-23 01:30:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8838131Z [2022-11-23 01:30:07,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8838492Z [2022-11-23 01:30:07,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8838810Z [2022-11-23 01:30:07,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8839150Z [2022-11-23 01:30:07,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8839522Z [2022-11-23 01:30:07,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8839822Z [2022-11-23 01:30:07,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8840098Z [2022-11-23 01:30:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8840365Z [2022-11-23 01:30:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8840667Z [2022-11-23 01:30:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8840943Z [2022-11-23 01:30:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8841301Z [2022-11-23 01:30:07,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8841607Z [2022-11-23 01:30:07,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8841937Z [2022-11-23 01:30:07,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8842305Z [2022-11-23 01:30:07,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8842603Z [2022-11-23 01:30:07,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8842880Z [2022-11-23 01:30:07,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8843142Z [2022-11-23 01:30:07,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8843445Z [2022-11-23 01:30:07,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8843720Z [2022-11-23 01:30:07,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8844072Z [2022-11-23 01:30:07,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8844405Z [2022-11-23 01:30:07,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8844739Z [2022-11-23 01:30:07,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8845130Z [2022-11-23 01:30:07,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8845428Z [2022-11-23 01:30:07,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8845706Z [2022-11-23 01:30:07,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8845972Z [2022-11-23 01:30:07,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8846278Z [2022-11-23 01:30:07,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8846548Z [2022-11-23 01:30:07,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8846904Z [2022-11-23 01:30:07,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8847208Z [2022-11-23 01:30:07,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8847540Z [2022-11-23 01:30:07,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8847913Z [2022-11-23 01:30:07,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8848213Z [2022-11-23 01:30:07,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8848489Z [2022-11-23 01:30:07,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8848753Z [2022-11-23 01:30:07,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8849056Z [2022-11-23 01:30:07,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8849330Z [2022-11-23 01:30:07,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8849684Z [2022-11-23 01:30:07,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8849985Z [2022-11-23 01:30:07,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8850320Z [2022-11-23 01:30:07,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8850690Z [2022-11-23 01:30:07,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8850988Z [2022-11-23 01:30:07,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8851263Z [2022-11-23 01:30:07,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8851562Z [2022-11-23 01:30:07,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8851889Z [2022-11-23 01:30:07,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8852170Z [2022-11-23 01:30:07,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8852533Z [2022-11-23 01:30:07,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8852845Z [2022-11-23 01:30:07,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8853184Z [2022-11-23 01:30:07,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8853560Z [2022-11-23 01:30:07,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8853858Z [2022-11-23 01:30:07,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8854137Z [2022-11-23 01:30:07,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8854409Z [2022-11-23 01:30:07,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8854717Z [2022-11-23 01:30:07,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8855000Z [2022-11-23 01:30:07,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8855365Z [2022-11-23 01:30:07,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8855676Z [2022-11-23 01:30:07,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8856014Z [2022-11-23 01:30:07,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8856391Z [2022-11-23 01:30:07,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8856690Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8856966Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8857228Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8857473Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8857855Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>
2022-11-23T01:32:31.8858096Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8858497Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510>
2022-11-23T01:32:31.8858741Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8859116Z [2022-11-23 01:30:07,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8859371Z [2022-11-23 01:30:07,471] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8859624Z [2022-11-23 01:30:07,482] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8859815Z [2022-11-23 01:30:07,482] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8859952Z  __compiled_fn_644 <eval_with_key>.3987 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8860048Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8860202Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T01:32:31.8860356Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T01:32:31.8860511Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T01:32:31.8860665Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T01:32:31.8860814Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T01:32:31.8860956Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T01:32:31.8861105Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T01:32:31.8861255Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T01:32:31.8861364Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T01:32:31.8861472Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T01:32:31.8861579Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T01:32:31.8861687Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T01:32:31.8861787Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T01:32:31.8861893Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T01:32:31.8861998Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T01:32:31.8862105Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T01:32:31.8862213Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T01:32:31.8862416Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T01:32:31.8862423Z 
2022-11-23T01:32:31.8862748Z [2022-11-23 01:30:07,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8862847Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8862941Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8863027Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8863127Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8863221Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8863316Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8863397Z              12 RETURN_VALUE
2022-11-23T01:32:31.8863405Z 
2022-11-23T01:32:31.8863473Z  
2022-11-23T01:32:31.8863794Z [2022-11-23 01:30:07,483] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8863904Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_644)
2022-11-23T01:32:31.8864001Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8864096Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8864178Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8864271Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8864381Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8864491Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8864586Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8864662Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8864769Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8864910Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8865018Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8865125Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8865219Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8865301Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.8865402Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8865500Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.8865582Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.8865689Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8865785Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.8865866Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.8865973Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8866062Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:31.8866144Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.8866252Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8866348Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:31.8866431Z              52 BINARY_SUBSCR
2022-11-23T01:32:31.8866546Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8866639Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:31.8866714Z              58 BINARY_SUBSCR
2022-11-23T01:32:31.8866819Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8866913Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:31.8866994Z              64 BINARY_SUBSCR
2022-11-23T01:32:31.8867099Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8867192Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:31.8867276Z              70 BINARY_SUBSCR
2022-11-23T01:32:31.8867375Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8867473Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:31.8867558Z              76 BINARY_SUBSCR
2022-11-23T01:32:31.8867663Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8867758Z              80 LOAD_CONST              12 (11)
2022-11-23T01:32:31.8867838Z              82 BINARY_SUBSCR
2022-11-23T01:32:31.8867943Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8868031Z              86 LOAD_CONST              13 (12)
2022-11-23T01:32:31.8868112Z              88 BINARY_SUBSCR
2022-11-23T01:32:31.8868217Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8868311Z              92 LOAD_CONST              14 (13)
2022-11-23T01:32:31.8868391Z              94 BINARY_SUBSCR
2022-11-23T01:32:31.8868496Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8868589Z              98 LOAD_CONST              15 (14)
2022-11-23T01:32:31.8868671Z             100 BINARY_SUBSCR
2022-11-23T01:32:31.8868771Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8868867Z             104 LOAD_CONST              16 (15)
2022-11-23T01:32:31.8868947Z             106 BINARY_SUBSCR
2022-11-23T01:32:31.8869055Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8869149Z             110 LOAD_CONST              17 (16)
2022-11-23T01:32:31.8869230Z             112 BINARY_SUBSCR
2022-11-23T01:32:31.8869322Z             114 BUILD_LIST              17
2022-11-23T01:32:31.8869397Z             116 RETURN_VALUE
2022-11-23T01:32:31.8869402Z 
2022-11-23T01:32:31.8869468Z  
2022-11-23T01:32:31.8869662Z [2022-11-23 01:30:07,483] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8869739Z  - 
2022-11-23T01:32:31.8869863Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8869932Z             {
2022-11-23T01:32:31.8870076Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8870355Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8870504Z                 'obj_weakref': None
2022-11-23T01:32:31.8870784Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8870855Z             }
2022-11-23T01:32:31.8870923Z             
2022-11-23T01:32:31.8871000Z  - 
2022-11-23T01:32:31.8871131Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8871193Z             {
2022-11-23T01:32:31.8871344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8871456Z                 'code': None,
2022-11-23T01:32:31.8871674Z                 'obj_weakref': <weakref at 0x7f1fd9a01da0; to 'Tensor' at 0x7f2151f03150>
2022-11-23T01:32:31.8871924Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8871992Z             }
2022-11-23T01:32:31.8872060Z             
2022-11-23T01:32:31.8872128Z  - 
2022-11-23T01:32:31.8872265Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8872336Z             {
2022-11-23T01:32:31.8872479Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8872653Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8872779Z                 'obj_weakref': None
2022-11-23T01:32:31.8873010Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8873072Z             }
2022-11-23T01:32:31.8873141Z             
2022-11-23T01:32:31.8873216Z  - 
2022-11-23T01:32:31.8873344Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8873413Z             {
2022-11-23T01:32:31.8873553Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8873771Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8873888Z                 'obj_weakref': None
2022-11-23T01:32:31.8874113Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8874182Z             }
2022-11-23T01:32:31.8874252Z             
2022-11-23T01:32:31.8874326Z  - 
2022-11-23T01:32:31.8874462Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8874529Z             {
2022-11-23T01:32:31.8874647Z                 'guard_types': None,
2022-11-23T01:32:31.8874759Z                 'code': None,
2022-11-23T01:32:31.8874882Z                 'obj_weakref': None
2022-11-23T01:32:31.8875007Z                 'guarded_class': None
2022-11-23T01:32:31.8875075Z             }
2022-11-23T01:32:31.8875143Z             
2022-11-23T01:32:31.8875211Z  - 
2022-11-23T01:32:31.8875345Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:31.8875412Z             {
2022-11-23T01:32:31.8875537Z                 'guard_types': None,
2022-11-23T01:32:31.8875647Z                 'code': None,
2022-11-23T01:32:31.8875770Z                 'obj_weakref': None
2022-11-23T01:32:31.8875894Z                 'guarded_class': None
2022-11-23T01:32:31.8875960Z             }
2022-11-23T01:32:31.8876028Z             
2022-11-23T01:32:31.8876291Z [2022-11-23 01:30:07,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 627
2022-11-23T01:32:31.8877131Z [2022-11-23 01:30:07,543] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10'), SchedulerNode(name='buf11'), SchedulerNode(name='buf12'), SchedulerNode(name='buf13'), SchedulerNode(name='buf14'), SchedulerNode(name='buf15')]
2022-11-23T01:32:31.8877487Z [2022-11-23 01:30:07,791] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/45/c45ezp5i7mapf2i2y2fjk55gnpootldue27sv4pvg3on3ij6m4n2.py
2022-11-23T01:32:31.8877783Z [2022-11-23 01:30:07,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 627
2022-11-23T01:32:31.8878042Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8878352Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8878571Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8878824Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8879100Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8879408Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8879748Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8880067Z [2022-11-23 01:30:07,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8880433Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510> 
2022-11-23T01:32:31.8880536Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T01:32:31.8880633Z                2 BUILD_TUPLE              1
2022-11-23T01:32:31.8880854Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>)
2022-11-23T01:32:31.8881088Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:31.8881197Z                8 MAKE_FUNCTION            8 (closure)
2022-11-23T01:32:31.8881293Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:31.8881433Z               12 LOAD_CONST               3 (-8)
2022-11-23T01:32:31.8881529Z               14 LOAD_CONST               4 (9)
2022-11-23T01:32:31.8881624Z               16 CALL_FUNCTION            2
2022-11-23T01:32:31.8881700Z               18 GET_ITER
2022-11-23T01:32:31.8881795Z               20 CALL_FUNCTION            1
2022-11-23T01:32:31.8881876Z               22 RETURN_VALUE
2022-11-23T01:32:31.8881936Z  
2022-11-23T01:32:31.8881947Z 
2022-11-23T01:32:31.8882253Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511
2022-11-23T01:32:31.8882469Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T01:32:31.8882716Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T01:32:31.8883127Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T01:32:31.8883482Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T01:32:31.8883794Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:31.8884068Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T01:32:31.8884371Z [2022-11-23 01:30:07,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T01:32:31.8884737Z [2022-11-23 01:30:07,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:31.8885143Z [2022-11-23 01:30:07,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.8885438Z [2022-11-23 01:30:07,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T01:32:31.8885737Z [2022-11-23 01:30:07,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8886110Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 
2022-11-23T01:32:31.8886209Z  2511           0 BUILD_LIST               0
2022-11-23T01:32:31.8886310Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:31.8886409Z          >>    4 FOR_ITER                 8 (to 22)
2022-11-23T01:32:31.8886505Z                6 STORE_FAST               1 (e)
2022-11-23T01:32:31.8886603Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8886703Z               10 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.8886792Z               12 LOAD_DEREF               0 (x)
2022-11-23T01:32:31.8886888Z               14 LOAD_FAST                1 (e)
2022-11-23T01:32:31.8886981Z               16 CALL_METHOD              2
2022-11-23T01:32:31.8887076Z               18 LIST_APPEND              2
2022-11-23T01:32:31.8887177Z               20 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:31.8887260Z          >>   22 RETURN_VALUE
2022-11-23T01:32:31.8887325Z  
2022-11-23T01:32:31.8887331Z 
2022-11-23T01:32:31.8887541Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:31.8887775Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:31.8888050Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8888356Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8888638Z [2022-11-23 01:30:07,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8889002Z [2022-11-23 01:30:07,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8889319Z [2022-11-23 01:30:07,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8889660Z [2022-11-23 01:30:07,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8890040Z [2022-11-23 01:30:07,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8890339Z [2022-11-23 01:30:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8890616Z [2022-11-23 01:30:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8890878Z [2022-11-23 01:30:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8891209Z [2022-11-23 01:30:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8891522Z [2022-11-23 01:30:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8891882Z [2022-11-23 01:30:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8892189Z [2022-11-23 01:30:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8892522Z [2022-11-23 01:30:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8892894Z [2022-11-23 01:30:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8893194Z [2022-11-23 01:30:07,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8893476Z [2022-11-23 01:30:07,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8893742Z [2022-11-23 01:30:07,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8894044Z [2022-11-23 01:30:07,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8894313Z [2022-11-23 01:30:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8894671Z [2022-11-23 01:30:07,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8894981Z [2022-11-23 01:30:07,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8895312Z [2022-11-23 01:30:07,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8895684Z [2022-11-23 01:30:07,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8895982Z [2022-11-23 01:30:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8896257Z [2022-11-23 01:30:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8896527Z [2022-11-23 01:30:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8896832Z [2022-11-23 01:30:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8897107Z [2022-11-23 01:30:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8897462Z [2022-11-23 01:30:07,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8897769Z [2022-11-23 01:30:07,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8898093Z [2022-11-23 01:30:07,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8898496Z [2022-11-23 01:30:07,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8898937Z [2022-11-23 01:30:07,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8899224Z [2022-11-23 01:30:07,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8899496Z [2022-11-23 01:30:07,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8899804Z [2022-11-23 01:30:07,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8900086Z [2022-11-23 01:30:07,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8900447Z [2022-11-23 01:30:07,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8900762Z [2022-11-23 01:30:07,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8901099Z [2022-11-23 01:30:07,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8901474Z [2022-11-23 01:30:07,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8901765Z [2022-11-23 01:30:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8902045Z [2022-11-23 01:30:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8902317Z [2022-11-23 01:30:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8902620Z [2022-11-23 01:30:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8902893Z [2022-11-23 01:30:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8903248Z [2022-11-23 01:30:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8903556Z [2022-11-23 01:30:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8903885Z [2022-11-23 01:30:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8904257Z [2022-11-23 01:30:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8904554Z [2022-11-23 01:30:07,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8904830Z [2022-11-23 01:30:07,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8905095Z [2022-11-23 01:30:07,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8905429Z [2022-11-23 01:30:07,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8905729Z [2022-11-23 01:30:07,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8906083Z [2022-11-23 01:30:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8906389Z [2022-11-23 01:30:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8906720Z [2022-11-23 01:30:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8907091Z [2022-11-23 01:30:07,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8907391Z [2022-11-23 01:30:07,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8907667Z [2022-11-23 01:30:07,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8907932Z [2022-11-23 01:30:07,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8908234Z [2022-11-23 01:30:07,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8908508Z [2022-11-23 01:30:07,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8908857Z [2022-11-23 01:30:07,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8909163Z [2022-11-23 01:30:07,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8909494Z [2022-11-23 01:30:07,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8909862Z [2022-11-23 01:30:07,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8910160Z [2022-11-23 01:30:07,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8910509Z [2022-11-23 01:30:07,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8910812Z [2022-11-23 01:30:07,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8911119Z [2022-11-23 01:30:07,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8911395Z [2022-11-23 01:30:07,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8911746Z [2022-11-23 01:30:07,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8912050Z [2022-11-23 01:30:07,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8912400Z [2022-11-23 01:30:07,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8912770Z [2022-11-23 01:30:07,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8913090Z [2022-11-23 01:30:07,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8913364Z [2022-11-23 01:30:07,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8913629Z [2022-11-23 01:30:07,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8913930Z [2022-11-23 01:30:07,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8914206Z [2022-11-23 01:30:07,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8914562Z [2022-11-23 01:30:07,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8914867Z [2022-11-23 01:30:07,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8915197Z [2022-11-23 01:30:07,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8915562Z [2022-11-23 01:30:07,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8915859Z [2022-11-23 01:30:07,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8916129Z [2022-11-23 01:30:07,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8916397Z [2022-11-23 01:30:07,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8916697Z [2022-11-23 01:30:07,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8916972Z [2022-11-23 01:30:07,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8917326Z [2022-11-23 01:30:07,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8917633Z [2022-11-23 01:30:07,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8917961Z [2022-11-23 01:30:07,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8918332Z [2022-11-23 01:30:07,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8918628Z [2022-11-23 01:30:07,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8918902Z [2022-11-23 01:30:07,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8919167Z [2022-11-23 01:30:07,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8919494Z [2022-11-23 01:30:07,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8919792Z [2022-11-23 01:30:07,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8920146Z [2022-11-23 01:30:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8920453Z [2022-11-23 01:30:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8920781Z [2022-11-23 01:30:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8921150Z [2022-11-23 01:30:07,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8921447Z [2022-11-23 01:30:07,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8921725Z [2022-11-23 01:30:07,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8921990Z [2022-11-23 01:30:07,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8922291Z [2022-11-23 01:30:07,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8922563Z [2022-11-23 01:30:07,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8922918Z [2022-11-23 01:30:07,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8923217Z [2022-11-23 01:30:07,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8923547Z [2022-11-23 01:30:07,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8923913Z [2022-11-23 01:30:07,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8924210Z [2022-11-23 01:30:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8924484Z [2022-11-23 01:30:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8924753Z [2022-11-23 01:30:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8925055Z [2022-11-23 01:30:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8925329Z [2022-11-23 01:30:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8925682Z [2022-11-23 01:30:07,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8925987Z [2022-11-23 01:30:07,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8926340Z [2022-11-23 01:30:07,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8926702Z [2022-11-23 01:30:07,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8927021Z [2022-11-23 01:30:07,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8927296Z [2022-11-23 01:30:07,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8927562Z [2022-11-23 01:30:07,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8927863Z [2022-11-23 01:30:07,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8928139Z [2022-11-23 01:30:07,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8928493Z [2022-11-23 01:30:07,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8928796Z [2022-11-23 01:30:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8929126Z [2022-11-23 01:30:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8929493Z [2022-11-23 01:30:07,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8929790Z [2022-11-23 01:30:07,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8930066Z [2022-11-23 01:30:07,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8930329Z [2022-11-23 01:30:07,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8930629Z [2022-11-23 01:30:07,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8930902Z [2022-11-23 01:30:07,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8931253Z [2022-11-23 01:30:07,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8931559Z [2022-11-23 01:30:07,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8931888Z [2022-11-23 01:30:07,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8932258Z [2022-11-23 01:30:07,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8932554Z [2022-11-23 01:30:07,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8932829Z [2022-11-23 01:30:07,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8933097Z [2022-11-23 01:30:07,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8933427Z [2022-11-23 01:30:07,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8933723Z [2022-11-23 01:30:07,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8934076Z [2022-11-23 01:30:07,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8934386Z [2022-11-23 01:30:07,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8934716Z [2022-11-23 01:30:07,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8935086Z [2022-11-23 01:30:07,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8935385Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:31.8935658Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8935926Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:31.8936168Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8936552Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157ead210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>
2022-11-23T01:32:31.8936790Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8937152Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510>
2022-11-23T01:32:31.8937394Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:31.8937627Z [2022-11-23 01:30:07,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8937878Z [2022-11-23 01:30:07,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8938128Z [2022-11-23 01:30:07,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8938318Z [2022-11-23 01:30:07,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8938460Z  __compiled_fn_645 <eval_with_key>.3993 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8938557Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8938713Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T01:32:31.8938987Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T01:32:31.8939143Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T01:32:31.8939295Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T01:32:31.8939443Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T01:32:31.8939592Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T01:32:31.8939741Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T01:32:31.8939889Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T01:32:31.8939992Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T01:32:31.8940101Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T01:32:31.8940208Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T01:32:31.8940313Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T01:32:31.8940418Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T01:32:31.8940565Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T01:32:31.8940699Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T01:32:31.8940798Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T01:32:31.8940904Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T01:32:31.8941107Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T01:32:31.8941114Z 
2022-11-23T01:32:31.8941439Z [2022-11-23 01:30:07,946] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8941538Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8941632Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8941724Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8941823Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8941911Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8942009Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8942091Z              12 RETURN_VALUE
2022-11-23T01:32:31.8942096Z 
2022-11-23T01:32:31.8942160Z  
2022-11-23T01:32:31.8942477Z [2022-11-23 01:30:07,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8942594Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_645)
2022-11-23T01:32:31.8942690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8942785Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8942861Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8942954Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8943065Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8943174Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8943270Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8943352Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8943459Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8943546Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.8943627Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.8943733Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8943827Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.8943906Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.8944012Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8944105Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.8944185Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.8944285Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8944379Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.8944459Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.8944566Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8944661Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:31.8944742Z              46 BINARY_SUBSCR
2022-11-23T01:32:31.8944848Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8944935Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:31.8945016Z              52 BINARY_SUBSCR
2022-11-23T01:32:31.8945121Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8945214Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:31.8945294Z              58 BINARY_SUBSCR
2022-11-23T01:32:31.8945399Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8945493Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:31.8945568Z              64 BINARY_SUBSCR
2022-11-23T01:32:31.8945672Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8945797Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:31.8945880Z              70 BINARY_SUBSCR
2022-11-23T01:32:31.8946008Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8946106Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:31.8946187Z              76 BINARY_SUBSCR
2022-11-23T01:32:31.8946285Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8946381Z              80 LOAD_CONST              12 (11)
2022-11-23T01:32:31.8946462Z              82 BINARY_SUBSCR
2022-11-23T01:32:31.8946566Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8946659Z              86 LOAD_CONST              13 (12)
2022-11-23T01:32:31.8946742Z              88 BINARY_SUBSCR
2022-11-23T01:32:31.8946846Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8946934Z              92 LOAD_CONST              14 (13)
2022-11-23T01:32:31.8947014Z              94 BINARY_SUBSCR
2022-11-23T01:32:31.8947121Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8947217Z              98 LOAD_CONST              15 (14)
2022-11-23T01:32:31.8947298Z             100 BINARY_SUBSCR
2022-11-23T01:32:31.8947402Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8947496Z             104 LOAD_CONST              16 (15)
2022-11-23T01:32:31.8947570Z             106 BINARY_SUBSCR
2022-11-23T01:32:31.8947674Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8947767Z             110 LOAD_CONST              17 (16)
2022-11-23T01:32:31.8947846Z             112 BINARY_SUBSCR
2022-11-23T01:32:31.8947937Z             114 BUILD_LIST              17
2022-11-23T01:32:31.8948017Z             116 RETURN_VALUE
2022-11-23T01:32:31.8948023Z 
2022-11-23T01:32:31.8948087Z  
2022-11-23T01:32:31.8948277Z [2022-11-23 01:30:07,947] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.8948347Z  - 
2022-11-23T01:32:31.8948470Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.8948542Z             {
2022-11-23T01:32:31.8948690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.8948878Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.8949000Z                 'obj_weakref': None
2022-11-23T01:32:31.8949222Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.8949286Z             }
2022-11-23T01:32:31.8949354Z             
2022-11-23T01:32:31.8949429Z  - 
2022-11-23T01:32:31.8949556Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.8949623Z             {
2022-11-23T01:32:31.8949768Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.8949873Z                 'code': None,
2022-11-23T01:32:31.8950085Z                 'obj_weakref': <weakref at 0x7f1fe8137e70; to 'Tensor' at 0x7f201e3d5580>
2022-11-23T01:32:31.8950404Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.8950479Z             }
2022-11-23T01:32:31.8950550Z             
2022-11-23T01:32:31.8950627Z  - 
2022-11-23T01:32:31.8950762Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.8950824Z             {
2022-11-23T01:32:31.8950965Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.8951136Z                 'code': ['___check_obj_id(model, 139776006803600)'],
2022-11-23T01:32:31.8951260Z                 'obj_weakref': None
2022-11-23T01:32:31.8951486Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.8951554Z             }
2022-11-23T01:32:31.8951622Z             
2022-11-23T01:32:31.8951691Z  - 
2022-11-23T01:32:31.8951815Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.8951887Z             {
2022-11-23T01:32:31.8952026Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.8952276Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.8952401Z                 'obj_weakref': None
2022-11-23T01:32:31.8952643Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.8952713Z             }
2022-11-23T01:32:31.8952775Z             
2022-11-23T01:32:31.8952850Z  - 
2022-11-23T01:32:31.8952984Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.8953052Z             {
2022-11-23T01:32:31.8953174Z                 'guard_types': None,
2022-11-23T01:32:31.8953285Z                 'code': None,
2022-11-23T01:32:31.8953399Z                 'obj_weakref': None
2022-11-23T01:32:31.8953523Z                 'guarded_class': None
2022-11-23T01:32:31.8953591Z             }
2022-11-23T01:32:31.8953659Z             
2022-11-23T01:32:31.8953733Z  - 
2022-11-23T01:32:31.8953865Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:31.8953933Z             {
2022-11-23T01:32:31.8954048Z                 'guard_types': None,
2022-11-23T01:32:31.8954160Z                 'code': None,
2022-11-23T01:32:31.8954283Z                 'obj_weakref': None
2022-11-23T01:32:31.8954409Z                 'guarded_class': None
2022-11-23T01:32:31.8954478Z             }
2022-11-23T01:32:31.8954546Z             
2022-11-23T01:32:31.8954808Z [2022-11-23 01:30:07,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 628
2022-11-23T01:32:31.8955643Z [2022-11-23 01:30:08,007] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10'), SchedulerNode(name='buf11'), SchedulerNode(name='buf12'), SchedulerNode(name='buf13'), SchedulerNode(name='buf14'), SchedulerNode(name='buf15')]
2022-11-23T01:32:31.8955650Z 
2022-11-23T01:32:31.8955752Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8955819Z import torch
2022-11-23T01:32:31.8955898Z import random
2022-11-23T01:32:31.8956021Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8956146Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8956152Z 
2022-11-23T01:32:31.8956235Z aten = torch.ops.aten
2022-11-23T01:32:31.8956372Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8956468Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8956473Z 
2022-11-23T01:32:31.8956541Z import triton
2022-11-23T01:32:31.8956633Z import triton.language as tl
2022-11-23T01:32:31.8956759Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8956902Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8956908Z 
2022-11-23T01:32:31.8956913Z 
2022-11-23T01:32:31.8957158Z triton_fused_pow_5_pow_15_pow_14_pow_17_pow_16_pow_9_pow_1_pow_8_pow_3_pow_20 = async_compile.triton('''
2022-11-23T01:32:31.8957236Z import triton
2022-11-23T01:32:31.8957328Z import triton.language as tl
2022-11-23T01:32:31.8957444Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8957540Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8957673Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8957800Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8957805Z 
2022-11-23T01:32:31.8958420Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: '*fp32', 8: '*fp32', 9: '*fp32', 10: '*fp32', 11: '*fp32', 12: '*fp32', 13: '*fp32', 14: '*fp32', 15: '*fp32', 16: '*fp32', 17: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17), equal_to_1=())]})
2022-11-23T01:32:31.8958495Z @triton.jit
2022-11-23T01:32:31.8958780Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, out_ptr10, out_ptr11, out_ptr12, out_ptr13, out_ptr14, out_ptr15, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8958878Z     xnumel = 256
2022-11-23T01:32:31.8958977Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8959110Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8959188Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8959261Z     x0 = xindex
2022-11-23T01:32:31.8959358Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.8959432Z     tmp1 = 1 / tmp0
2022-11-23T01:32:31.8959512Z     tmp2 = tmp1 * tmp1
2022-11-23T01:32:31.8959590Z     tmp3 = tmp2 * tmp2
2022-11-23T01:32:31.8959667Z     tmp4 = tmp3 * tmp3
2022-11-23T01:32:31.8959738Z     tmp5 = tmp2 * tmp1
2022-11-23T01:32:31.8959818Z     tmp6 = tmp5 * tmp5
2022-11-23T01:32:31.8959894Z     tmp7 = tmp6 * tmp1
2022-11-23T01:32:31.8959970Z     tmp8 = tmp3 * tmp1
2022-11-23T01:32:31.8960040Z     tmp9 = 1
2022-11-23T01:32:31.8960127Z     tmp10 = tmp0 * tmp0
2022-11-23T01:32:31.8960211Z     tmp11 = tmp10 * tmp0
2022-11-23T01:32:31.8960287Z     tmp12 = tmp10 * tmp10
2022-11-23T01:32:31.8960366Z     tmp13 = tmp12 * tmp0
2022-11-23T01:32:31.8960446Z     tmp14 = tmp11 * tmp11
2022-11-23T01:32:31.8960527Z     tmp15 = tmp14 * tmp0
2022-11-23T01:32:31.8960607Z     tmp16 = tmp12 * tmp12
2022-11-23T01:32:31.8960747Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.8960883Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.8961010Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.8961140Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.8961270Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.8961400Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.8961533Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.8961662Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.8961789Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.8961923Z     tl.store(out_ptr9 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.8962052Z     tl.store(out_ptr10 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.8962189Z     tl.store(out_ptr11 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.8962317Z     tl.store(out_ptr12 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:31.8962444Z     tl.store(out_ptr13 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.8962570Z     tl.store(out_ptr14 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.8962696Z     tl.store(out_ptr15 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:31.8962787Z ''')
2022-11-23T01:32:31.8962792Z 
2022-11-23T01:32:31.8962800Z 
2022-11-23T01:32:31.8962894Z async_compile.wait(globals())
2022-11-23T01:32:31.8962965Z del async_compile
2022-11-23T01:32:31.8962970Z 
2022-11-23T01:32:31.8963045Z def call(args):
2022-11-23T01:32:31.8963117Z     arg0_1, = args
2022-11-23T01:32:31.8963192Z     args.clear()
2022-11-23T01:32:31.8963395Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8963596Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8963792Z     buf2 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8963981Z     buf3 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8964173Z     buf4 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8964364Z     buf5 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8964590Z     buf6 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8964803Z     buf7 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8964994Z     buf8 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8965186Z     buf9 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8965386Z     buf10 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8965576Z     buf11 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8965773Z     buf12 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8965970Z     buf13 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8966163Z     buf14 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8966357Z     buf15 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8966452Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8966697Z     triton_fused_pow_5_pow_15_pow_14_pow_17_pow_16_pow_9_pow_1_pow_8_pow_3_pow_20.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, buf11, buf12, buf13, buf14, buf15, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.8966868Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T01:32:31.8966873Z 
2022-11-23T01:32:31.8966878Z 
2022-11-23T01:32:31.8966960Z if __name__ == "__main__":
2022-11-23T01:32:31.8967074Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8967202Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8967399Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.8967511Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8967517Z 
2022-11-23T01:32:31.8967880Z [2022-11-23 01:30:08,124] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ok/cok2u2ovafbaqvjzdo2j26oyrzfmynv6jbbsw7jbaqrenz6efuto.py
2022-11-23T01:32:31.8968148Z [2022-11-23 01:30:08,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 628
2022-11-23T01:32:31.8968153Z 
2022-11-23T01:32:31.8968252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.8968326Z import torch
2022-11-23T01:32:31.8968401Z import random
2022-11-23T01:32:31.8968514Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.8968639Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.8968644Z 
2022-11-23T01:32:31.8968727Z aten = torch.ops.aten
2022-11-23T01:32:31.8968864Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.8968961Z async_compile = AsyncCompile()
2022-11-23T01:32:31.8968966Z 
2022-11-23T01:32:31.8969039Z import triton
2022-11-23T01:32:31.8969135Z import triton.language as tl
2022-11-23T01:32:31.8969256Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.8969400Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.8969406Z 
2022-11-23T01:32:31.8969410Z 
2022-11-23T01:32:31.8969655Z triton_fused_pow_7_pow_11_pow_6_pow_4_pow_1_pow_16_pow_9_pow_14_pow_8_pow_120 = async_compile.triton('''
2022-11-23T01:32:31.8969730Z import triton
2022-11-23T01:32:31.8969823Z import triton.language as tl
2022-11-23T01:32:31.8969937Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.8970039Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.8970178Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.8970298Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.8970309Z 
2022-11-23T01:32:31.8970924Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: '*fp16', 8: '*fp16', 9: '*fp16', 10: '*fp16', 11: '*fp16', 12: '*fp16', 13: '*fp16', 14: '*fp16', 15: '*fp16', 16: '*fp16', 17: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17), equal_to_1=())]})
2022-11-23T01:32:31.8971023Z @triton.jit
2022-11-23T01:32:31.8971274Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, out_ptr10, out_ptr11, out_ptr12, out_ptr13, out_ptr14, out_ptr15, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.8971350Z     xnumel = 256
2022-11-23T01:32:31.8971448Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.8971580Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.8971663Z     xmask = xindex < xnumel
2022-11-23T01:32:31.8971739Z     x0 = xindex
2022-11-23T01:32:31.8971851Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.8971928Z     tmp1 = 1 / tmp0
2022-11-23T01:32:31.8972011Z     tmp2 = tmp1 * tmp1
2022-11-23T01:32:31.8972091Z     tmp3 = tmp2 * tmp2
2022-11-23T01:32:31.8972169Z     tmp4 = tmp3 * tmp3
2022-11-23T01:32:31.8972246Z     tmp5 = tmp2 * tmp1
2022-11-23T01:32:31.8972321Z     tmp6 = tmp5 * tmp5
2022-11-23T01:32:31.8972392Z     tmp7 = tmp6 * tmp1
2022-11-23T01:32:31.8972469Z     tmp8 = tmp3 * tmp1
2022-11-23T01:32:31.8972538Z     tmp9 = 1
2022-11-23T01:32:31.8972620Z     tmp10 = tmp0 * tmp0
2022-11-23T01:32:31.8972701Z     tmp11 = tmp10 * tmp0
2022-11-23T01:32:31.8972783Z     tmp12 = tmp10 * tmp10
2022-11-23T01:32:31.8972864Z     tmp13 = tmp12 * tmp0
2022-11-23T01:32:31.8972937Z     tmp14 = tmp11 * tmp11
2022-11-23T01:32:31.8973016Z     tmp15 = tmp14 * tmp0
2022-11-23T01:32:31.8973094Z     tmp16 = tmp12 * tmp12
2022-11-23T01:32:31.8973230Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.8973364Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:31.8973499Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.8973632Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:31.8973755Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.8973883Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:31.8974012Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.8974139Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.8981599Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:31.8981758Z     tl.store(out_ptr9 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.8981896Z     tl.store(out_ptr10 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:31.8982031Z     tl.store(out_ptr11 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:31.8982160Z     tl.store(out_ptr12 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:31.8982293Z     tl.store(out_ptr13 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.8982422Z     tl.store(out_ptr14 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.8982550Z     tl.store(out_ptr15 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:31.8982659Z ''')
2022-11-23T01:32:31.8982665Z 
2022-11-23T01:32:31.8982670Z 
2022-11-23T01:32:31.8982765Z async_compile.wait(globals())
2022-11-23T01:32:31.8982843Z del async_compile
2022-11-23T01:32:31.8982849Z 
2022-11-23T01:32:31.8982927Z def call(args):
2022-11-23T01:32:31.8982995Z     arg0_1, = args
2022-11-23T01:32:31.8983071Z     args.clear()
2022-11-23T01:32:31.8983276Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8983475Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8983744Z     buf2 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8983980Z     buf3 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8984174Z     buf4 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8984366Z     buf5 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8984554Z     buf6 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8984747Z     buf7 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8984941Z     buf8 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8985132Z     buf9 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8985335Z     buf10 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8985534Z     buf11 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8985731Z     buf12 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8985928Z     buf13 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8986116Z     buf14 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8986308Z     buf15 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8986399Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.8986644Z     triton_fused_pow_7_pow_11_pow_6_pow_4_pow_1_pow_16_pow_9_pow_14_pow_8_pow_120.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, buf11, buf12, buf13, buf14, buf15, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.8986816Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T01:32:31.8986822Z 
2022-11-23T01:32:31.8986826Z 
2022-11-23T01:32:31.8986912Z if __name__ == "__main__":
2022-11-23T01:32:31.8987036Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.8987165Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.8987365Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.8987471Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.8987476Z 
2022-11-23T01:32:31.8987548Z ok (0.785s)
2022-11-23T01:32:31.8987849Z   test_pow2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.8988166Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.8988390Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.8988651Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.8988931Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.8989246Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8989586Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8989898Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.8990348Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519> 
2022-11-23T01:32:31.8990505Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8990647Z                2 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.8990748Z                4 LOAD_CONST               1 (1000)
2022-11-23T01:32:31.8990845Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.8990941Z                8 CALL_METHOD              2
2022-11-23T01:32:31.8991041Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.8991132Z               12 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.8991227Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.8991324Z               16 LOAD_CONST               1 (1000)
2022-11-23T01:32:31.8991417Z               18 CALL_METHOD              2
2022-11-23T01:32:31.8991513Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.8991596Z               22 RETURN_VALUE
2022-11-23T01:32:31.8991665Z  
2022-11-23T01:32:31.8991671Z 
2022-11-23T01:32:31.8991992Z [2022-11-23 01:30:08,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520
2022-11-23T01:32:31.8992206Z [2022-11-23 01:30:08,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.8992510Z [2022-11-23 01:30:08,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8992762Z [2022-11-23 01:30:08,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T01:32:31.8993050Z [2022-11-23 01:30:08,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T01:32:31.8993364Z [2022-11-23 01:30:08,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.8993610Z [2022-11-23 01:30:08,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.8993934Z [2022-11-23 01:30:08,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.8994209Z [2022-11-23 01:30:08,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.8994510Z [2022-11-23 01:30:08,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.8994847Z [2022-11-23 01:30:08,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.8995105Z [2022-11-23 01:30:08,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.8995352Z [2022-11-23 01:30:08,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8995723Z [2022-11-23 01:30:08,146] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519>
2022-11-23T01:32:31.8995970Z [2022-11-23 01:30:08,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.8996204Z [2022-11-23 01:30:08,146] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.8996459Z [2022-11-23 01:30:08,147] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.8996708Z [2022-11-23 01:30:08,150] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.8996900Z [2022-11-23 01:30:08,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.8997041Z  __compiled_fn_646 <eval_with_key>.3999 opcode, name, target, args, kwargs
2022-11-23T01:32:31.8997135Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.8997271Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T01:32:31.8997404Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T01:32:31.8997517Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T01:32:31.8997522Z 
2022-11-23T01:32:31.8997841Z [2022-11-23 01:30:08,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8997941Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.8998036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8998129Z               4 BUILD_MAP                0
2022-11-23T01:32:31.8998222Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.8998314Z               8 DICT_MERGE               1
2022-11-23T01:32:31.8998407Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.8998487Z              12 RETURN_VALUE
2022-11-23T01:32:31.8998492Z 
2022-11-23T01:32:31.8998557Z  
2022-11-23T01:32:31.8998873Z [2022-11-23 01:30:08,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.8998993Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_646)
2022-11-23T01:32:31.8999088Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.8999177Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8999259Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.8999353Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.8999464Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.8999572Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8999669Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.8999751Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.8999851Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.8999948Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9000028Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9000124Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9000204Z              26 RETURN_VALUE
2022-11-23T01:32:31.9000210Z 
2022-11-23T01:32:31.9000274Z  
2022-11-23T01:32:31.9000461Z [2022-11-23 01:30:08,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9000537Z  - 
2022-11-23T01:32:31.9000654Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9000722Z             {
2022-11-23T01:32:31.9000868Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9001057Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9001179Z                 'obj_weakref': None
2022-11-23T01:32:31.9001404Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9001472Z             }
2022-11-23T01:32:31.9001534Z             
2022-11-23T01:32:31.9001609Z  - 
2022-11-23T01:32:31.9001740Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9001811Z             {
2022-11-23T01:32:31.9001955Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9002065Z                 'code': None,
2022-11-23T01:32:31.9002268Z                 'obj_weakref': <weakref at 0x7f201e6bb970; to 'Tensor' at 0x7f202325bab0>
2022-11-23T01:32:31.9002517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9002588Z             }
2022-11-23T01:32:31.9002654Z             
2022-11-23T01:32:31.9002730Z  - 
2022-11-23T01:32:31.9002868Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9002936Z             {
2022-11-23T01:32:31.9003070Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9003248Z                 'code': ['___check_obj_id(model, 139775283435632)'],
2022-11-23T01:32:31.9003371Z                 'obj_weakref': None
2022-11-23T01:32:31.9003660Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9003747Z             }
2022-11-23T01:32:31.9003816Z             
2022-11-23T01:32:31.9003892Z  - 
2022-11-23T01:32:31.9004012Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9004080Z             {
2022-11-23T01:32:31.9004223Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9004444Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9004567Z                 'obj_weakref': None
2022-11-23T01:32:31.9004794Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9004862Z             }
2022-11-23T01:32:31.9004930Z             
2022-11-23T01:32:31.9004998Z  - 
2022-11-23T01:32:31.9005135Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9005203Z             {
2022-11-23T01:32:31.9005331Z                 'guard_types': None,
2022-11-23T01:32:31.9005445Z                 'code': None,
2022-11-23T01:32:31.9005567Z                 'obj_weakref': None
2022-11-23T01:32:31.9005692Z                 'guarded_class': None
2022-11-23T01:32:31.9005759Z             }
2022-11-23T01:32:31.9005826Z             
2022-11-23T01:32:31.9006087Z [2022-11-23 01:30:08,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 629
2022-11-23T01:32:31.9006375Z [2022-11-23 01:30:08,161] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9006731Z [2022-11-23 01:30:08,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3a/c3ak5jlhss6pbwa3qbhkynb4djnl5fvx4mpzd2sopsr5kc4svwag.py
2022-11-23T01:32:31.9006994Z [2022-11-23 01:30:08,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 629
2022-11-23T01:32:31.9007232Z [2022-11-23 01:30:08,315] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9007546Z [2022-11-23 01:30:08,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9007761Z [2022-11-23 01:30:08,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9008013Z [2022-11-23 01:30:08,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9008287Z [2022-11-23 01:30:08,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9008599Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9008938Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9009256Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9009626Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519> 
2022-11-23T01:32:31.9009729Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9009831Z                2 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.9009923Z                4 LOAD_CONST               1 (1000)
2022-11-23T01:32:31.9010022Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9010122Z                8 CALL_METHOD              2
2022-11-23T01:32:31.9010223Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9010321Z               12 LOAD_METHOD              1 (pow)
2022-11-23T01:32:31.9010415Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9010542Z               16 LOAD_CONST               1 (1000)
2022-11-23T01:32:31.9010638Z               18 CALL_METHOD              2
2022-11-23T01:32:31.9010747Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.9010828Z               22 RETURN_VALUE
2022-11-23T01:32:31.9010895Z  
2022-11-23T01:32:31.9010901Z 
2022-11-23T01:32:31.9011215Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520
2022-11-23T01:32:31.9011434Z [2022-11-23 01:30:08,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9011735Z [2022-11-23 01:30:08,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9011989Z [2022-11-23 01:30:08,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T01:32:31.9012276Z [2022-11-23 01:30:08,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T01:32:31.9012592Z [2022-11-23 01:30:08,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:31.9012828Z [2022-11-23 01:30:08,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.9013152Z [2022-11-23 01:30:08,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9013424Z [2022-11-23 01:30:08,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:31.9013727Z [2022-11-23 01:30:08,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:31.9014069Z [2022-11-23 01:30:08,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9014338Z [2022-11-23 01:30:08,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9014585Z [2022-11-23 01:30:08,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9014955Z [2022-11-23 01:30:08,330] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ead420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519>
2022-11-23T01:32:31.9015200Z [2022-11-23 01:30:08,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9015433Z [2022-11-23 01:30:08,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9015678Z [2022-11-23 01:30:08,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9015929Z [2022-11-23 01:30:08,333] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9016123Z [2022-11-23 01:30:08,334] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9016263Z  __compiled_fn_647 <eval_with_key>.4005 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9016357Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9016470Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T01:32:31.9016584Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T01:32:31.9016695Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T01:32:31.9016700Z 
2022-11-23T01:32:31.9017015Z [2022-11-23 01:30:08,334] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9017115Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9017215Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9017336Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9017456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9017548Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9017642Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9017723Z              12 RETURN_VALUE
2022-11-23T01:32:31.9017729Z 
2022-11-23T01:32:31.9017788Z  
2022-11-23T01:32:31.9018103Z [2022-11-23 01:30:08,334] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9018219Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_647)
2022-11-23T01:32:31.9018314Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9018410Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9018492Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9018583Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9018687Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9018918Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9019019Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9019102Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9019212Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9019307Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9019389Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9019482Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9019556Z              26 RETURN_VALUE
2022-11-23T01:32:31.9019562Z 
2022-11-23T01:32:31.9019627Z  
2022-11-23T01:32:31.9019815Z [2022-11-23 01:30:08,335] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9019891Z  - 
2022-11-23T01:32:31.9020014Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9020084Z             {
2022-11-23T01:32:31.9020227Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9020410Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9020535Z                 'obj_weakref': None
2022-11-23T01:32:31.9020758Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9020827Z             }
2022-11-23T01:32:31.9020895Z             
2022-11-23T01:32:31.9020969Z  - 
2022-11-23T01:32:31.9021097Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9021159Z             {
2022-11-23T01:32:31.9021304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9021413Z                 'code': None,
2022-11-23T01:32:31.9021624Z                 'obj_weakref': <weakref at 0x7f1fe8135d50; to 'Tensor' at 0x7f2000fe77e0>
2022-11-23T01:32:31.9021871Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9021940Z             }
2022-11-23T01:32:31.9022011Z             
2022-11-23T01:32:31.9022079Z  - 
2022-11-23T01:32:31.9022214Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9022283Z             {
2022-11-23T01:32:31.9022422Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9022593Z                 'code': ['___check_obj_id(model, 139775283435632)'],
2022-11-23T01:32:31.9022715Z                 'obj_weakref': None
2022-11-23T01:32:31.9022944Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9023007Z             }
2022-11-23T01:32:31.9023074Z             
2022-11-23T01:32:31.9023148Z  - 
2022-11-23T01:32:31.9023273Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9023339Z             {
2022-11-23T01:32:31.9023477Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9023692Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9023807Z                 'obj_weakref': None
2022-11-23T01:32:31.9024075Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9024171Z             }
2022-11-23T01:32:31.9024239Z             
2022-11-23T01:32:31.9024314Z  - 
2022-11-23T01:32:31.9024449Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9024518Z             {
2022-11-23T01:32:31.9024635Z                 'guard_types': None,
2022-11-23T01:32:31.9024746Z                 'code': None,
2022-11-23T01:32:31.9024866Z                 'obj_weakref': None
2022-11-23T01:32:31.9024991Z                 'guarded_class': None
2022-11-23T01:32:31.9025059Z             }
2022-11-23T01:32:31.9025125Z             
2022-11-23T01:32:31.9025378Z [2022-11-23 01:30:08,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 630
2022-11-23T01:32:31.9025670Z [2022-11-23 01:30:08,344] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9026029Z [2022-11-23 01:30:08,495] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jd/cjdw7k6u4ljqpss4ph3dmjdli4zfcawweqdla4hf7fyej2f4mr3a.py
2022-11-23T01:32:31.9026296Z [2022-11-23 01:30:08,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 630
2022-11-23T01:32:31.9026302Z 
2022-11-23T01:32:31.9026403Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9026476Z import torch
2022-11-23T01:32:31.9026550Z import random
2022-11-23T01:32:31.9026670Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9026796Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9026801Z 
2022-11-23T01:32:31.9026877Z aten = torch.ops.aten
2022-11-23T01:32:31.9027017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9027114Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9027119Z 
2022-11-23T01:32:31.9027193Z import triton
2022-11-23T01:32:31.9027286Z import triton.language as tl
2022-11-23T01:32:31.9027413Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9027556Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9027564Z 
2022-11-23T01:32:31.9027569Z 
2022-11-23T01:32:31.9027734Z triton_fused_pow_1_pow_20 = async_compile.triton('''
2022-11-23T01:32:31.9027802Z import triton
2022-11-23T01:32:31.9027893Z import triton.language as tl
2022-11-23T01:32:31.9028006Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9028109Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9028243Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9028369Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9028374Z 
2022-11-23T01:32:31.9028762Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.9028837Z @triton.jit
2022-11-23T01:32:31.9028979Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9029059Z     xnumel = 256
2022-11-23T01:32:31.9029158Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9029291Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9029376Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9029446Z     x0 = xindex
2022-11-23T01:32:31.9029543Z     tmp1 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.9029610Z     tmp0 = 1000
2022-11-23T01:32:31.9029711Z     tmp2 = tl.libdevice.pow(tmp0, tmp1)
2022-11-23T01:32:31.9029813Z     tmp3 = tl.libdevice.pow(tmp1, tmp0)
2022-11-23T01:32:31.9029949Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.9030084Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.9030169Z ''')
2022-11-23T01:32:31.9030175Z 
2022-11-23T01:32:31.9030180Z 
2022-11-23T01:32:31.9030347Z async_compile.wait(globals())
2022-11-23T01:32:31.9030433Z del async_compile
2022-11-23T01:32:31.9030480Z 
2022-11-23T01:32:31.9030565Z def call(args):
2022-11-23T01:32:31.9030676Z     arg0_1, = args
2022-11-23T01:32:31.9030752Z     args.clear()
2022-11-23T01:32:31.9030957Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9031155Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9031245Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9031394Z     triton_fused_pow_1_pow_20.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.9031460Z     del arg0_1
2022-11-23T01:32:31.9031540Z     return (buf0, buf1, )
2022-11-23T01:32:31.9031546Z 
2022-11-23T01:32:31.9031550Z 
2022-11-23T01:32:31.9031629Z if __name__ == "__main__":
2022-11-23T01:32:31.9031747Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9031872Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9032077Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9032190Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9032197Z 
2022-11-23T01:32:31.9032202Z 
2022-11-23T01:32:31.9032300Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9032367Z import torch
2022-11-23T01:32:31.9032440Z import random
2022-11-23T01:32:31.9032559Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9032683Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9032688Z 
2022-11-23T01:32:31.9032770Z aten = torch.ops.aten
2022-11-23T01:32:31.9032906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9033000Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9033006Z 
2022-11-23T01:32:31.9033073Z import triton
2022-11-23T01:32:31.9033165Z import triton.language as tl
2022-11-23T01:32:31.9033289Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9033429Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9033436Z 
2022-11-23T01:32:31.9033441Z 
2022-11-23T01:32:31.9033608Z triton_fused_pow_2_pow_10 = async_compile.triton('''
2022-11-23T01:32:31.9033682Z import triton
2022-11-23T01:32:31.9033772Z import triton.language as tl
2022-11-23T01:32:31.9033885Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9033981Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9034112Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9034237Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9034242Z 
2022-11-23T01:32:31.9034626Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.9034700Z @triton.jit
2022-11-23T01:32:31.9034842Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9034916Z     xnumel = 256
2022-11-23T01:32:31.9035014Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9035141Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9035224Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9035293Z     x0 = xindex
2022-11-23T01:32:31.9035411Z     tmp1 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9035483Z     tmp0 = 1000
2022-11-23T01:32:31.9035584Z     tmp2 = tl.libdevice.pow(tmp0, tmp1)
2022-11-23T01:32:31.9035687Z     tmp3 = tl.libdevice.pow(tmp1, tmp0)
2022-11-23T01:32:31.9035816Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.9035946Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.9036033Z ''')
2022-11-23T01:32:31.9036039Z 
2022-11-23T01:32:31.9036043Z 
2022-11-23T01:32:31.9036135Z async_compile.wait(globals())
2022-11-23T01:32:31.9036214Z del async_compile
2022-11-23T01:32:31.9036219Z 
2022-11-23T01:32:31.9036294Z def call(args):
2022-11-23T01:32:31.9036399Z     arg0_1, = args
2022-11-23T01:32:31.9036476Z     args.clear()
2022-11-23T01:32:31.9036695Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9036892Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9036982Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9037130Z     triton_fused_pow_2_pow_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:31.9037202Z     del arg0_1
2022-11-23T01:32:31.9037282Z     return (buf0, buf1, )
2022-11-23T01:32:31.9037288Z 
2022-11-23T01:32:31.9037292Z 
2022-11-23T01:32:31.9037372Z if __name__ == "__main__":
2022-11-23T01:32:31.9037482Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9037610Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9037810Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9037922Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9037928Z 
2022-11-23T01:32:31.9038001Z ok (0.367s)
2022-11-23T01:32:31.9038506Z   test_pow3_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:31.9038584Z   warnings.warn(
2022-11-23T01:32:31.9038820Z [2022-11-23 01:30:08,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.9039129Z [2022-11-23 01:30:08,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2535
2022-11-23T01:32:31.9039343Z [2022-11-23 01:30:08,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9039706Z [2022-11-23 01:30:08,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9040029Z [2022-11-23 01:30:08,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9040382Z [2022-11-23 01:30:08,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float)]
2022-11-23T01:32:31.9040804Z [2022-11-23 01:30:08,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), UserDefinedObjectVariable(CudaTests)]
2022-11-23T01:32:31.9041202Z [2022-11-23 01:30:08,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:31.9041638Z [2022-11-23 01:30:08,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:31.9041879Z [2022-11-23 01:30:08,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:31.9042184Z [2022-11-23 01:30:08,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2536
2022-11-23T01:32:31.9042395Z [2022-11-23 01:30:08,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:31.9042630Z [2022-11-23 01:30:08,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.9042900Z [2022-11-23 01:30:08,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9043158Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:31.9043486Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2537
2022-11-23T01:32:31.9043703Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9044057Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9044367Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9044706Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9045088Z [2022-11-23 01:30:08,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method pow of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:31.9045339Z [2022-11-23 01:30:08,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9045571Z [2022-11-23 01:30:08,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.9045811Z [2022-11-23 01:30:08,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.9046047Z [2022-11-23 01:30:08,507] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.9046231Z [2022-11-23 01:30:08,507] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9046371Z  __compiled_fn_648 <eval_with_key>.4011 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9046459Z placeholder, x, x, (), {}
2022-11-23T01:32:31.9046710Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, (0.123,), {'device': 'cuda'}
2022-11-23T01:32:31.9046892Z call_function, add, <built-in function add>, (tensor, x), {}
2022-11-23T01:32:31.9047116Z call_function, pow_1, <built-in method pow of type object at 0x7f209c394c60>, (add, 0.5), {}
2022-11-23T01:32:31.9047216Z output, output, output, ((pow_1,),), {}
2022-11-23T01:32:31.9047221Z 
2022-11-23T01:32:31.9047541Z [2022-11-23 01:30:08,508] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:31.9047637Z 2535           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9047739Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:31.9047834Z                4 LOAD_CONST               1 (0.123)
2022-11-23T01:32:31.9047931Z                6 LOAD_DEREF               0 (self)
2022-11-23T01:32:31.9048029Z                8 LOAD_ATTR                2 (device)
2022-11-23T01:32:31.9048184Z               10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:31.9048283Z               12 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.9048374Z               14 STORE_FAST               1 (z)
2022-11-23T01:32:31.9048386Z 
2022-11-23T01:32:31.9048476Z 2536          16 LOAD_FAST                1 (z)
2022-11-23T01:32:31.9048568Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9048646Z               20 BINARY_ADD
2022-11-23T01:32:31.9048739Z               22 STORE_FAST               2 (w)
2022-11-23T01:32:31.9048744Z 
2022-11-23T01:32:31.9048841Z 2537          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9048939Z               26 LOAD_METHOD              3 (pow)
2022-11-23T01:32:31.9049034Z               28 LOAD_FAST                2 (w)
2022-11-23T01:32:31.9049123Z               30 LOAD_CONST               3 (0.5)
2022-11-23T01:32:31.9049216Z               32 CALL_METHOD              2
2022-11-23T01:32:31.9049295Z               34 RETURN_VALUE
2022-11-23T01:32:31.9049300Z 
2022-11-23T01:32:31.9049392Z  
2022-11-23T01:32:31.9049714Z [2022-11-23 01:30:08,508] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:31.9049850Z 2534           0 LOAD_GLOBAL              4 (__compiled_fn_648)
2022-11-23T01:32:31.9049943Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9050037Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.9050128Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:31.9050208Z                8 RETURN_VALUE
2022-11-23T01:32:31.9050213Z 
2022-11-23T01:32:31.9050277Z  
2022-11-23T01:32:31.9050465Z [2022-11-23 01:30:08,508] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9050539Z  - 
2022-11-23T01:32:31.9050663Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:31.9050730Z             {
2022-11-23T01:32:31.9050869Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9050979Z                 'code': None,
2022-11-23T01:32:31.9051193Z                 'obj_weakref': <weakref at 0x7f1fd8cce8e0; to 'Tensor' at 0x7f206819c7c0>
2022-11-23T01:32:31.9051447Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9051516Z             }
2022-11-23T01:32:31.9051583Z             
2022-11-23T01:32:31.9051658Z  - 
2022-11-23T01:32:31.9051777Z             local 'self' TYPE_MATCH
2022-11-23T01:32:31.9051848Z             {
2022-11-23T01:32:31.9051992Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:31.9052162Z                 'code': ['___check_type_id(self, 94768409769312)'],
2022-11-23T01:32:31.9052376Z                 'obj_weakref': <weakref at 0x7f1fe81364d0; to 'CudaTests' at 0x7f2151f0cfa0>
2022-11-23T01:32:31.9052602Z                 'guarded_class': <weakref at 0x7f2151ff4900; to 'type' at 0x5630fd667560 (CudaTests)>
2022-11-23T01:32:31.9052671Z             }
2022-11-23T01:32:31.9052732Z             
2022-11-23T01:32:31.9052808Z  - 
2022-11-23T01:32:31.9052955Z             local 'self.device' CONSTANT_MATCH
2022-11-23T01:32:31.9053025Z             {
2022-11-23T01:32:31.9053171Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9053386Z                 'code': ['___check_type_id(self.device, 94768292446400)', "self.device == 'cuda'"],
2022-11-23T01:32:31.9053509Z                 'obj_weakref': None
2022-11-23T01:32:31.9053718Z                 'guarded_class': <weakref at 0x7f2158fe1080; to 'type' at 0x5630f66840c0 (str)>
2022-11-23T01:32:31.9053787Z             }
2022-11-23T01:32:31.9053854Z             
2022-11-23T01:32:31.9053927Z  - 
2022-11-23T01:32:31.9054062Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9054128Z             {
2022-11-23T01:32:31.9054249Z                 'guard_types': None,
2022-11-23T01:32:31.9054352Z                 'code': None,
2022-11-23T01:32:31.9054472Z                 'obj_weakref': None
2022-11-23T01:32:31.9054595Z                 'guarded_class': None
2022-11-23T01:32:31.9054664Z             }
2022-11-23T01:32:31.9054734Z             
2022-11-23T01:32:31.9054991Z [2022-11-23 01:30:08,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 631
2022-11-23T01:32:31.9055235Z [2022-11-23 01:30:08,516] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9055582Z [2022-11-23 01:30:08,666] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxblhrdbl4b6ithc3jswa6pcbhd643tqvk4jwdmm4sd46yeln3j.py
2022-11-23T01:32:31.9055829Z [2022-11-23 01:30:08,666] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:31.9056090Z [2022-11-23 01:30:08,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 631
2022-11-23T01:32:31.9056096Z 
2022-11-23T01:32:31.9056193Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9056268Z import torch
2022-11-23T01:32:31.9056342Z import random
2022-11-23T01:32:31.9056492Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9056636Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9056642Z 
2022-11-23T01:32:31.9056723Z aten = torch.ops.aten
2022-11-23T01:32:31.9056854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9056951Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9056957Z 
2022-11-23T01:32:31.9057029Z import triton
2022-11-23T01:32:31.9057121Z import triton.language as tl
2022-11-23T01:32:31.9057247Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9057387Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9057392Z 
2022-11-23T01:32:31.9057397Z 
2022-11-23T01:32:31.9057588Z triton_fused_pow_1_add_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:31.9057662Z import triton
2022-11-23T01:32:31.9057747Z import triton.language as tl
2022-11-23T01:32:31.9057860Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9057963Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9058098Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9058224Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9058229Z 
2022-11-23T01:32:31.9058594Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9058666Z @triton.jit
2022-11-23T01:32:31.9058904Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9058979Z     xnumel = 1
2022-11-23T01:32:31.9059077Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9059210Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9059293Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9059368Z     tmp1 = in_ptr0
2022-11-23T01:32:31.9059447Z     tmp0 = 0.12300000339746475
2022-11-23T01:32:31.9059522Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.9059603Z     tmp3 = tl.sqrt(tmp2)
2022-11-23T01:32:31.9059742Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp3, None)
2022-11-23T01:32:31.9059828Z ''')
2022-11-23T01:32:31.9059833Z 
2022-11-23T01:32:31.9059838Z 
2022-11-23T01:32:31.9059931Z async_compile.wait(globals())
2022-11-23T01:32:31.9060007Z del async_compile
2022-11-23T01:32:31.9060012Z 
2022-11-23T01:32:31.9060085Z def call(args):
2022-11-23T01:32:31.9060157Z     arg0_1, = args
2022-11-23T01:32:31.9060226Z     args.clear()
2022-11-23T01:32:31.9060414Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9060505Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9060669Z     triton_fused_pow_1_add_lift_fresh_copy0.run(arg0_1.item(), buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9060740Z     del arg0_1
2022-11-23T01:32:31.9060814Z     return (buf0, )
2022-11-23T01:32:31.9060819Z 
2022-11-23T01:32:31.9060824Z 
2022-11-23T01:32:31.9060906Z if __name__ == "__main__":
2022-11-23T01:32:31.9061017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9061149Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9061336Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:31.9061446Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9061451Z 
2022-11-23T01:32:31.9061522Z ok (0.170s)
2022-11-23T01:32:31.9061850Z   test_rand_like_deterministic_cuda (__main__.CudaTests) ... [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:31.9062161Z [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3876
2022-11-23T01:32:31.9062382Z [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9062792Z [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9063146Z [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9063547Z [2022-11-23 01:30:08,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9063827Z [2022-11-23 01:30:08,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9064281Z [2022-11-23 01:30:08,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9064688Z [2022-11-23 01:30:08,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9065129Z [2022-11-23 01:30:08,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9065432Z [2022-11-23 01:30:08,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9065708Z [2022-11-23 01:30:08,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9065970Z [2022-11-23 01:30:08,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:31.9066243Z [2022-11-23 01:30:08,674] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:31.9066512Z [2022-11-23 01:30:08,676] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:31.9066719Z [2022-11-23 01:30:08,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9066872Z  __compiled_fn_649 <eval_with_key>.4017 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9066962Z placeholder, a, a, (), {}
2022-11-23T01:32:31.9067114Z call_function, rand_like_3, <function rand_like at 0x7f206923f010>, (a,), {}
2022-11-23T01:32:31.9067262Z call_function, rand_like_2, <function rand_like at 0x7f206923f010>, (a,), {}
2022-11-23T01:32:31.9067392Z output, output, output, ((rand_like_3, rand_like_2),), {}
2022-11-23T01:32:31.9067397Z 
2022-11-23T01:32:31.9067768Z [2022-11-23 01:30:08,677] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:31.9067873Z 3876           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9067982Z                2 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:31.9068074Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9068171Z                6 CALL_METHOD              1
2022-11-23T01:32:31.9068278Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9068383Z               10 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:31.9068481Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9068575Z               14 CALL_METHOD              1
2022-11-23T01:32:31.9068672Z               16 BUILD_TUPLE              2
2022-11-23T01:32:31.9068747Z               18 RETURN_VALUE
2022-11-23T01:32:31.9068752Z 
2022-11-23T01:32:31.9068816Z  
2022-11-23T01:32:31.9069186Z [2022-11-23 01:30:08,677] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:31.9069306Z 3874           0 LOAD_GLOBAL              2 (__compiled_fn_649)
2022-11-23T01:32:31.9069402Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9069499Z                4 CALL_FUNCTION            1
2022-11-23T01:32:31.9069640Z                6 STORE_FAST               1 (___graph_out_0)
2022-11-23T01:32:31.9069772Z                8 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:31.9069863Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9069947Z               12 BINARY_SUBSCR
2022-11-23T01:32:31.9070056Z               14 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:31.9070150Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9070232Z               18 BINARY_SUBSCR
2022-11-23T01:32:31.9070400Z               20 BUILD_TUPLE              2
2022-11-23T01:32:31.9070495Z               22 RETURN_VALUE
2022-11-23T01:32:31.9070501Z 
2022-11-23T01:32:31.9070571Z  
2022-11-23T01:32:31.9070781Z [2022-11-23 01:30:08,677] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9070858Z  - 
2022-11-23T01:32:31.9070981Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:31.9071049Z             {
2022-11-23T01:32:31.9071208Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9071329Z                 'code': None,
2022-11-23T01:32:31.9071564Z                 'obj_weakref': <weakref at 0x7f2115dc7a10; to 'Tensor' at 0x7f1fe819d1c0>
2022-11-23T01:32:31.9071846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9071914Z             }
2022-11-23T01:32:31.9071981Z             
2022-11-23T01:32:31.9072056Z  - 
2022-11-23T01:32:31.9072204Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9072271Z             {
2022-11-23T01:32:31.9072398Z                 'guard_types': None,
2022-11-23T01:32:31.9072515Z                 'code': None,
2022-11-23T01:32:31.9072648Z                 'obj_weakref': None
2022-11-23T01:32:31.9072782Z                 'guarded_class': None
2022-11-23T01:32:31.9072846Z             }
2022-11-23T01:32:31.9072914Z             
2022-11-23T01:32:31.9073206Z [2022-11-23 01:30:08,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 632
2022-11-23T01:32:31.9073491Z [2022-11-23 01:30:08,685] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:31.9073822Z [2022-11-23 01:30:08,691] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9074244Z [2022-11-23 01:30:08,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xn/cxnjtzuj7xncpctvkscczcqnlnft5ic4mafjilmlb2cu3rsx4dbu.py
2022-11-23T01:32:31.9074541Z [2022-11-23 01:30:08,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 632
2022-11-23T01:32:31.9074547Z 
2022-11-23T01:32:31.9074648Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9074722Z import torch
2022-11-23T01:32:31.9074795Z import random
2022-11-23T01:32:31.9074920Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9075046Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9075051Z 
2022-11-23T01:32:31.9075140Z aten = torch.ops.aten
2022-11-23T01:32:31.9075290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9075389Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9075394Z 
2022-11-23T01:32:31.9075468Z import triton
2022-11-23T01:32:31.9075563Z import triton.language as tl
2022-11-23T01:32:31.9075698Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9075848Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9076023Z seed_cuda_0 = None  # 12bf87036c8e625335a9db42dcf50de0c1ec952294785adced537424d5733e17
2022-11-23T01:32:31.9076028Z 
2022-11-23T01:32:31.9076039Z 
2022-11-23T01:32:31.9076299Z triton_fused_philox_seed_like_philox_rand_like_1_philox_rand_like0 = async_compile.triton('''
2022-11-23T01:32:31.9076374Z import triton
2022-11-23T01:32:31.9076470Z import triton.language as tl
2022-11-23T01:32:31.9076589Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9076729Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9076874Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9077064Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9077069Z 
2022-11-23T01:32:31.9077447Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.9077520Z @triton.jit
2022-11-23T01:32:31.9077665Z def kernel(seed0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9077741Z     xnumel = 1024
2022-11-23T01:32:31.9077837Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9077968Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9078050Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9078120Z     x0 = xindex
2022-11-23T01:32:31.9078245Z     tmp0 = tl.load(seed0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:31.9078319Z     tmp1 = x0
2022-11-23T01:32:31.9078410Z     tmp2 = tl.rand(tmp0, tmp1)
2022-11-23T01:32:31.9078483Z     tmp3 = 1024 + x0
2022-11-23T01:32:31.9078571Z     tmp4 = tl.rand(tmp0, tmp3)
2022-11-23T01:32:31.9078706Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.9078841Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.9078919Z ''')
2022-11-23T01:32:31.9078924Z 
2022-11-23T01:32:31.9078929Z 
2022-11-23T01:32:31.9079021Z async_compile.wait(globals())
2022-11-23T01:32:31.9079097Z del async_compile
2022-11-23T01:32:31.9079102Z 
2022-11-23T01:32:31.9079177Z def call(args):
2022-11-23T01:32:31.9079249Z     arg0_1, = args
2022-11-23T01:32:31.9079324Z     args.clear()
2022-11-23T01:32:31.9079459Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cuda_0)
2022-11-23T01:32:31.9079652Z     buf0 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9079852Z     buf1 = empty_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9079946Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9080146Z     triton_fused_philox_seed_like_philox_rand_like_1_philox_rand_like0.run(seed_cuda_0, buf0, buf1, 1024, grid=grid(1024), stream=stream0)
2022-11-23T01:32:31.9080227Z     return (buf0, buf1, )
2022-11-23T01:32:31.9080232Z 
2022-11-23T01:32:31.9080237Z 
2022-11-23T01:32:31.9080318Z if __name__ == "__main__":
2022-11-23T01:32:31.9080437Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9080564Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9080752Z     seed_cuda_0 = rand_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9080950Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9081063Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9081068Z 
2022-11-23T01:32:31.9081139Z ok (0.401s)
2022-11-23T01:32:31.9081452Z   test_reduction1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9081766Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9081990Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9082243Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9082521Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9082830Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9083198Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9083536Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9083902Z [2022-11-23 01:30:09,071] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771> 
2022-11-23T01:32:31.9084000Z  772           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9084101Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9084195Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9084290Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9084384Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9084469Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9084560Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9084656Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9084747Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9084838Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9084937Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:31.9085026Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9085113Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9085214Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T01:32:31.9085303Z              28 CALL_METHOD              0
2022-11-23T01:32:31.9085393Z              30 BUILD_TUPLE              5
2022-11-23T01:32:31.9085474Z              32 RETURN_VALUE
2022-11-23T01:32:31.9085538Z  
2022-11-23T01:32:31.9085543Z 
2022-11-23T01:32:31.9085852Z [2022-11-23 01:30:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772
2022-11-23T01:32:31.9086068Z [2022-11-23 01:30:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9086305Z [2022-11-23 01:30:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9086582Z [2022-11-23 01:30:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9086817Z [2022-11-23 01:30:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9087083Z [2022-11-23 01:30:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9087387Z [2022-11-23 01:30:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9087650Z [2022-11-23 01:30:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9087943Z [2022-11-23 01:30:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9088269Z [2022-11-23 01:30:09,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9088555Z [2022-11-23 01:30:09,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9088876Z [2022-11-23 01:30:09,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9089232Z [2022-11-23 01:30:09,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9089564Z [2022-11-23 01:30:09,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9089926Z [2022-11-23 01:30:09,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9090308Z [2022-11-23 01:30:09,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9090650Z [2022-11-23 01:30:09,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9090896Z [2022-11-23 01:30:09,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9091267Z [2022-11-23 01:30:09,076] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771>
2022-11-23T01:32:31.9091514Z [2022-11-23 01:30:09,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9091748Z [2022-11-23 01:30:09,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9092000Z [2022-11-23 01:30:09,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9092246Z [2022-11-23 01:30:09,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9092433Z [2022-11-23 01:30:09,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9092572Z  __compiled_fn_650 <eval_with_key>.4023 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9092664Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9092758Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9092850Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9092942Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9093044Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:31.9093144Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:31.9093273Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T01:32:31.9093279Z 
2022-11-23T01:32:31.9093601Z [2022-11-23 01:30:09,081] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9093700Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9093796Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9093888Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9093985Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9094075Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9094173Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9094247Z              12 RETURN_VALUE
2022-11-23T01:32:31.9094254Z 
2022-11-23T01:32:31.9094318Z  
2022-11-23T01:32:31.9094637Z [2022-11-23 01:30:09,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9094753Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_650)
2022-11-23T01:32:31.9094848Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9094944Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9095025Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9095109Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9095218Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9095326Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9095421Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9095502Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9095609Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9095729Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9095824Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9095928Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9096022Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9096102Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9096208Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9096302Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9096382Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9096485Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9096571Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.9096650Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.9096744Z              42 BUILD_TUPLE              5
2022-11-23T01:32:31.9096824Z              44 RETURN_VALUE
2022-11-23T01:32:31.9096829Z 
2022-11-23T01:32:31.9096893Z  
2022-11-23T01:32:31.9097082Z [2022-11-23 01:30:09,082] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9097161Z  - 
2022-11-23T01:32:31.9097278Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9097346Z             {
2022-11-23T01:32:31.9097492Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9097683Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9097804Z                 'obj_weakref': None
2022-11-23T01:32:31.9098026Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9098094Z             }
2022-11-23T01:32:31.9098155Z             
2022-11-23T01:32:31.9098230Z  - 
2022-11-23T01:32:31.9098357Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9098423Z             {
2022-11-23T01:32:31.9098569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9098678Z                 'code': None,
2022-11-23T01:32:31.9099022Z                 'obj_weakref': <weakref at 0x7f2115a8a160; to 'Tensor' at 0x7f2115997290>
2022-11-23T01:32:31.9099270Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9099339Z             }
2022-11-23T01:32:31.9099405Z             
2022-11-23T01:32:31.9099481Z  - 
2022-11-23T01:32:31.9099614Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9099681Z             {
2022-11-23T01:32:31.9099817Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9099981Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9100102Z                 'obj_weakref': None
2022-11-23T01:32:31.9100331Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9100403Z             }
2022-11-23T01:32:31.9100470Z             
2022-11-23T01:32:31.9100545Z  - 
2022-11-23T01:32:31.9100669Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9100730Z             {
2022-11-23T01:32:31.9100870Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9101089Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9101211Z                 'obj_weakref': None
2022-11-23T01:32:31.9101432Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9101500Z             }
2022-11-23T01:32:31.9101566Z             
2022-11-23T01:32:31.9101816Z [2022-11-23 01:30:09,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 633
2022-11-23T01:32:31.9102225Z [2022-11-23 01:30:09,096] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.9102625Z [2022-11-23 01:30:09,299] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccj54whqih2zty54txpyuyqn4p3g3zmbosbvs53zgqds3b3zgqhu.py
2022-11-23T01:32:31.9102890Z [2022-11-23 01:30:09,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 633
2022-11-23T01:32:31.9103177Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9103491Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9103709Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9103960Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9104233Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9104550Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9104885Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9105201Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9105566Z [2022-11-23 01:30:09,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771> 
2022-11-23T01:32:31.9105664Z  772           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9105765Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9105859Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9105953Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9106049Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9106140Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9106228Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9106323Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9106413Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9106505Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9106604Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:31.9106697Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9106791Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9106883Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T01:32:31.9106973Z              28 CALL_METHOD              0
2022-11-23T01:32:31.9107063Z              30 BUILD_TUPLE              5
2022-11-23T01:32:31.9107145Z              32 RETURN_VALUE
2022-11-23T01:32:31.9107211Z  
2022-11-23T01:32:31.9107216Z 
2022-11-23T01:32:31.9107531Z [2022-11-23 01:30:09,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772
2022-11-23T01:32:31.9107745Z [2022-11-23 01:30:09,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9107987Z [2022-11-23 01:30:09,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9108258Z [2022-11-23 01:30:09,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9108495Z [2022-11-23 01:30:09,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9108758Z [2022-11-23 01:30:09,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9109059Z [2022-11-23 01:30:09,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9109346Z [2022-11-23 01:30:09,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9109655Z [2022-11-23 01:30:09,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9109981Z [2022-11-23 01:30:09,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9110326Z [2022-11-23 01:30:09,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9110694Z [2022-11-23 01:30:09,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9111098Z [2022-11-23 01:30:09,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9111405Z [2022-11-23 01:30:09,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9111754Z [2022-11-23 01:30:09,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9112138Z [2022-11-23 01:30:09,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9112479Z [2022-11-23 01:30:09,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9112723Z [2022-11-23 01:30:09,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9113093Z [2022-11-23 01:30:09,308] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771>
2022-11-23T01:32:31.9113339Z [2022-11-23 01:30:09,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9113571Z [2022-11-23 01:30:09,308] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9113822Z [2022-11-23 01:30:09,309] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9114072Z [2022-11-23 01:30:09,312] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9114263Z [2022-11-23 01:30:09,313] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9114398Z  __compiled_fn_651 <eval_with_key>.4029 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9114492Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9114589Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9114683Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9114772Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9114871Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:31.9114970Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:31.9115099Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T01:32:31.9115105Z 
2022-11-23T01:32:31.9115427Z [2022-11-23 01:30:09,313] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9115526Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9115622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9115715Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9115812Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9115904Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9116025Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9116120Z              12 RETURN_VALUE
2022-11-23T01:32:31.9116126Z 
2022-11-23T01:32:31.9116189Z  
2022-11-23T01:32:31.9116504Z [2022-11-23 01:30:09,313] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9116620Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_651)
2022-11-23T01:32:31.9116716Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9116811Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9116891Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9116983Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9117086Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9117194Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9117288Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9117370Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9117479Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9117571Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9117650Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9117750Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9117843Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9117922Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9118027Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9118119Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9118197Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9118301Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9118388Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:31.9118468Z              40 BINARY_SUBSCR
2022-11-23T01:32:31.9118561Z              42 BUILD_TUPLE              5
2022-11-23T01:32:31.9118641Z              44 RETURN_VALUE
2022-11-23T01:32:31.9118649Z 
2022-11-23T01:32:31.9118712Z  
2022-11-23T01:32:31.9118898Z [2022-11-23 01:30:09,314] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9118973Z  - 
2022-11-23T01:32:31.9119088Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9119156Z             {
2022-11-23T01:32:31.9119298Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9119487Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9119608Z                 'obj_weakref': None
2022-11-23T01:32:31.9119830Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9119897Z             }
2022-11-23T01:32:31.9119958Z             
2022-11-23T01:32:31.9120035Z  - 
2022-11-23T01:32:31.9120160Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9120228Z             {
2022-11-23T01:32:31.9120371Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9120483Z                 'code': None,
2022-11-23T01:32:31.9120695Z                 'obj_weakref': <weakref at 0x7f20601eec00; to 'Tensor' at 0x7f20726feed0>
2022-11-23T01:32:31.9120934Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9121003Z             }
2022-11-23T01:32:31.9121069Z             
2022-11-23T01:32:31.9121143Z  - 
2022-11-23T01:32:31.9121275Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9121342Z             {
2022-11-23T01:32:31.9121478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9121642Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9121763Z                 'obj_weakref': None
2022-11-23T01:32:31.9121989Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9122057Z             }
2022-11-23T01:32:31.9122124Z             
2022-11-23T01:32:31.9122227Z  - 
2022-11-23T01:32:31.9122354Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9122446Z             {
2022-11-23T01:32:31.9122586Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9122802Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9122923Z                 'obj_weakref': None
2022-11-23T01:32:31.9123141Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9123209Z             }
2022-11-23T01:32:31.9123276Z             
2022-11-23T01:32:31.9123534Z [2022-11-23 01:30:09,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 634
2022-11-23T01:32:31.9123942Z [2022-11-23 01:30:09,328] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4')]
2022-11-23T01:32:31.9123948Z 
2022-11-23T01:32:31.9124054Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9124128Z import torch
2022-11-23T01:32:31.9124202Z import random
2022-11-23T01:32:31.9124321Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9124446Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9124452Z 
2022-11-23T01:32:31.9124532Z aten = torch.ops.aten
2022-11-23T01:32:31.9124664Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9124760Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9124766Z 
2022-11-23T01:32:31.9124838Z import triton
2022-11-23T01:32:31.9124930Z import triton.language as tl
2022-11-23T01:32:31.9125055Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9125197Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9125203Z 
2022-11-23T01:32:31.9125207Z 
2022-11-23T01:32:31.9125405Z triton_fused_argmax_max_1_min_1_argmin_sum_10 = async_compile.triton('''
2022-11-23T01:32:31.9125481Z import triton
2022-11-23T01:32:31.9125567Z import triton.language as tl
2022-11-23T01:32:31.9125680Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9125780Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9125915Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9126040Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9126045Z 
2022-11-23T01:32:31.9126133Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9126248Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9126333Z               filename=__file__,
2022-11-23T01:32:31.9126705Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*i64', 5: '*i64', 6: 'i32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.9126779Z @triton.jit
2022-11-23T01:32:31.9126982Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9127058Z     xnumel = 1
2022-11-23T01:32:31.9127127Z     rnumel = 3
2022-11-23T01:32:31.9127224Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9127361Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9127444Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9127558Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9127676Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9127859Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9127985Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9128163Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9128281Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9128404Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9128539Z     _tmp5_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9128671Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9128762Z         rindex = roffset + rbase
2022-11-23T01:32:31.9128847Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9128919Z         r0 = rindex
2022-11-23T01:32:31.9129114Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.9129234Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9129356Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9129480Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9129625Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9129747Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9129890Z         _tmp5_index = tl.where(xmask & rmask & (_tmp5 > tmp0),  rindex, _tmp5_index)
2022-11-23T01:32:31.9130015Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 > tmp0), tmp0, _tmp5)
2022-11-23T01:32:31.9130129Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9130261Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9130369Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9130501Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9130613Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9130744Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9130839Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9130947Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9131070Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9131158Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9131248Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9131373Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9131504Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9131597Z     _tmp5_index_reduce = tl.reshape(
2022-11-23T01:32:31.9131704Z     	tl.argmin(_tmp5, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9131823Z     _tmp5_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9131917Z     	[1, RBLOCK]) == _tmp5_index_reduce)
2022-11-23T01:32:31.9131998Z     tmp5 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9132120Z     	tl.where(_tmp5_index_mask, _tmp5_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9132248Z     tl.store(out_ptr4 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp5, None)
2022-11-23T01:32:31.9132346Z ''')
2022-11-23T01:32:31.9132353Z 
2022-11-23T01:32:31.9132359Z 
2022-11-23T01:32:31.9132462Z async_compile.wait(globals())
2022-11-23T01:32:31.9132554Z del async_compile
2022-11-23T01:32:31.9132560Z 
2022-11-23T01:32:31.9132643Z def call(args):
2022-11-23T01:32:31.9132710Z     arg0_1, = args
2022-11-23T01:32:31.9132788Z     args.clear()
2022-11-23T01:32:31.9132975Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9133157Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9133335Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9133515Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9133690Z     buf4 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9133779Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9133955Z     triton_fused_argmax_max_1_min_1_argmin_sum_10.run(arg0_1, buf0, buf1, buf2, buf3, buf4, 1, 3, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9134028Z     del arg0_1
2022-11-23T01:32:31.9134128Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.9134133Z 
2022-11-23T01:32:31.9134138Z 
2022-11-23T01:32:31.9134245Z if __name__ == "__main__":
2022-11-23T01:32:31.9134383Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9134512Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9134706Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9134818Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9134823Z 
2022-11-23T01:32:31.9135179Z [2022-11-23 01:30:09,428] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cskrunizp4u7qtimpfvpe5oxdaf4lyobc7fx7r4nuxcse7zawhac.py
2022-11-23T01:32:31.9135444Z [2022-11-23 01:30:09,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 634
2022-11-23T01:32:31.9135449Z 
2022-11-23T01:32:31.9135547Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9135622Z import torch
2022-11-23T01:32:31.9135696Z import random
2022-11-23T01:32:31.9135816Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9135942Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9135949Z 
2022-11-23T01:32:31.9136031Z aten = torch.ops.aten
2022-11-23T01:32:31.9136163Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9136259Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9136264Z 
2022-11-23T01:32:31.9136337Z import triton
2022-11-23T01:32:31.9136429Z import triton.language as tl
2022-11-23T01:32:31.9136553Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9136693Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9136698Z 
2022-11-23T01:32:31.9136702Z 
2022-11-23T01:32:31.9136901Z triton_fused_min_1_argmin_argmax_sum_1_max_10 = async_compile.triton('''
2022-11-23T01:32:31.9136976Z import triton
2022-11-23T01:32:31.9137060Z import triton.language as tl
2022-11-23T01:32:31.9137174Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9137277Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9137410Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9137538Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9137543Z 
2022-11-23T01:32:31.9137632Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9137747Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9137832Z               filename=__file__,
2022-11-23T01:32:31.9138203Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*i64', 5: '*i64', 6: 'i32', 7: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.9138275Z @triton.jit
2022-11-23T01:32:31.9138475Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9138549Z     xnumel = 1
2022-11-23T01:32:31.9138619Z     rnumel = 3
2022-11-23T01:32:31.9138721Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9138972Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9139055Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9139176Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9139294Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9139477Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9139604Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9139782Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9139898Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9140022Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9140130Z     _tmp5_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9140236Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9140324Z         rindex = roffset + rbase
2022-11-23T01:32:31.9140456Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9140553Z         r0 = rindex
2022-11-23T01:32:31.9140774Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.9140897Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9141020Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9141142Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9141286Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9141406Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9141545Z         _tmp5_index = tl.where(xmask & rmask & (_tmp5 > tmp0),  rindex, _tmp5_index)
2022-11-23T01:32:31.9141667Z         _tmp5 = tl.where(xmask & rmask & (_tmp5 > tmp0), tmp0, _tmp5)
2022-11-23T01:32:31.9141782Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9141916Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9142025Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9142158Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9142270Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9142399Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9142493Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9142602Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9142722Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9142810Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9142898Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9143022Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9143151Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9143246Z     _tmp5_index_reduce = tl.reshape(
2022-11-23T01:32:31.9143356Z     	tl.argmin(_tmp5, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9143473Z     _tmp5_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9143566Z     	[1, RBLOCK]) == _tmp5_index_reduce)
2022-11-23T01:32:31.9143646Z     tmp5 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9143769Z     	tl.where(_tmp5_index_mask, _tmp5_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9143897Z     tl.store(out_ptr4 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp5, None)
2022-11-23T01:32:31.9143983Z ''')
2022-11-23T01:32:31.9143989Z 
2022-11-23T01:32:31.9143993Z 
2022-11-23T01:32:31.9144086Z async_compile.wait(globals())
2022-11-23T01:32:31.9144162Z del async_compile
2022-11-23T01:32:31.9144167Z 
2022-11-23T01:32:31.9144240Z def call(args):
2022-11-23T01:32:31.9144307Z     arg0_1, = args
2022-11-23T01:32:31.9144380Z     args.clear()
2022-11-23T01:32:31.9144565Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9144748Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9144928Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9145107Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9145280Z     buf4 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9145372Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9145549Z     triton_fused_min_1_argmin_argmax_sum_1_max_10.run(arg0_1, buf0, buf1, buf2, buf3, buf4, 1, 3, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9145621Z     del arg0_1
2022-11-23T01:32:31.9145722Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:31.9145727Z 
2022-11-23T01:32:31.9145732Z 
2022-11-23T01:32:31.9145812Z if __name__ == "__main__":
2022-11-23T01:32:31.9145929Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9146055Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9146279Z     arg0_1 = rand_strided((3, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9146412Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9146417Z 
2022-11-23T01:32:31.9146481Z ok (0.362s)
2022-11-23T01:32:31.9146792Z   test_reduction2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:09,432] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9147108Z [2022-11-23 01:30:09,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9147329Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9147583Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9147860Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9148177Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9148517Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9148835Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9149199Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777> 
2022-11-23T01:32:31.9149291Z  779           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9149391Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9149484Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9149582Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9149678Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9149772Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9149864Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9149952Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9150041Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9150134Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9150233Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T01:32:31.9150395Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9150504Z              24 BUILD_TUPLE              4
2022-11-23T01:32:31.9150599Z              26 RETURN_VALUE
2022-11-23T01:32:31.9150673Z  
2022-11-23T01:32:31.9150686Z 
2022-11-23T01:32:31.9150994Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779
2022-11-23T01:32:31.9151207Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9151452Z [2022-11-23 01:30:09,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9151728Z [2022-11-23 01:30:09,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9151963Z [2022-11-23 01:30:09,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9152252Z [2022-11-23 01:30:09,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9152578Z [2022-11-23 01:30:09,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9152838Z [2022-11-23 01:30:09,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9153160Z [2022-11-23 01:30:09,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9153501Z [2022-11-23 01:30:09,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9153788Z [2022-11-23 01:30:09,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9154108Z [2022-11-23 01:30:09,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9154462Z [2022-11-23 01:30:09,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9154781Z [2022-11-23 01:30:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9155029Z [2022-11-23 01:30:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9155401Z [2022-11-23 01:30:09,437] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777>
2022-11-23T01:32:31.9155644Z [2022-11-23 01:30:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9155877Z [2022-11-23 01:30:09,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9156129Z [2022-11-23 01:30:09,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9156377Z [2022-11-23 01:30:09,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9156564Z [2022-11-23 01:30:09,441] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9156707Z  __compiled_fn_652 <eval_with_key>.4035 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9156802Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9156897Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9156989Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9157079Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9157180Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:31.9157300Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T01:32:31.9157312Z 
2022-11-23T01:32:31.9157629Z [2022-11-23 01:30:09,441] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9157727Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9157823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9157917Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9158014Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9158107Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9158200Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9158274Z              12 RETURN_VALUE
2022-11-23T01:32:31.9158279Z 
2022-11-23T01:32:31.9158343Z  
2022-11-23T01:32:31.9158660Z [2022-11-23 01:30:09,441] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9158776Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_652)
2022-11-23T01:32:31.9158872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9158967Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9159048Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9159139Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9159243Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9159376Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9159493Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9159574Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9159681Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9159775Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9159855Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9159953Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9160046Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9160125Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9160231Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9160324Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9160403Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9160494Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.9160568Z              38 RETURN_VALUE
2022-11-23T01:32:31.9160575Z 
2022-11-23T01:32:31.9160639Z  
2022-11-23T01:32:31.9160828Z [2022-11-23 01:30:09,442] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9160902Z  - 
2022-11-23T01:32:31.9161025Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9161092Z             {
2022-11-23T01:32:31.9161235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9161417Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9161540Z                 'obj_weakref': None
2022-11-23T01:32:31.9161764Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9161832Z             }
2022-11-23T01:32:31.9161898Z             
2022-11-23T01:32:31.9161972Z  - 
2022-11-23T01:32:31.9162099Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9162161Z             {
2022-11-23T01:32:31.9162305Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9162417Z                 'code': None,
2022-11-23T01:32:31.9162626Z                 'obj_weakref': <weakref at 0x7f1fe812f240; to 'Tensor' at 0x7f20601efc40>
2022-11-23T01:32:31.9162877Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9162944Z             }
2022-11-23T01:32:31.9163011Z             
2022-11-23T01:32:31.9163079Z  - 
2022-11-23T01:32:31.9163211Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9163275Z             {
2022-11-23T01:32:31.9163410Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9163578Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9163698Z                 'obj_weakref': None
2022-11-23T01:32:31.9163924Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9163986Z             }
2022-11-23T01:32:31.9164053Z             
2022-11-23T01:32:31.9164129Z  - 
2022-11-23T01:32:31.9164253Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9164322Z             {
2022-11-23T01:32:31.9164459Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9164672Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9164786Z                 'obj_weakref': None
2022-11-23T01:32:31.9165006Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9165074Z             }
2022-11-23T01:32:31.9165141Z             
2022-11-23T01:32:31.9165399Z [2022-11-23 01:30:09,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 635
2022-11-23T01:32:31.9165765Z [2022-11-23 01:30:09,454] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.9166159Z [2022-11-23 01:30:09,644] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j7/cj7tbkgle6jmcyukaxz4wshcrk7rdf5fghckxbffjgkeynfihana.py
2022-11-23T01:32:31.9166451Z [2022-11-23 01:30:09,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 635
2022-11-23T01:32:31.9166688Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9166990Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9167208Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9167458Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9167730Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9168047Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9168387Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9168700Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9169065Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777> 
2022-11-23T01:32:31.9169163Z  779           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9169264Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9169352Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9169448Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9169547Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9169641Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9169734Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9169833Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9169923Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9170009Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9170108Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T01:32:31.9170197Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9170289Z              24 BUILD_TUPLE              4
2022-11-23T01:32:31.9170369Z              26 RETURN_VALUE
2022-11-23T01:32:31.9170433Z  
2022-11-23T01:32:31.9170439Z 
2022-11-23T01:32:31.9170749Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779
2022-11-23T01:32:31.9170963Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9171201Z [2022-11-23 01:30:09,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9171479Z [2022-11-23 01:30:09,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9171714Z [2022-11-23 01:30:09,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9171981Z [2022-11-23 01:30:09,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9172286Z [2022-11-23 01:30:09,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9172548Z [2022-11-23 01:30:09,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9172865Z [2022-11-23 01:30:09,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9173206Z [2022-11-23 01:30:09,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9173495Z [2022-11-23 01:30:09,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9173813Z [2022-11-23 01:30:09,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9174161Z [2022-11-23 01:30:09,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9174477Z [2022-11-23 01:30:09,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9174724Z [2022-11-23 01:30:09,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9175094Z [2022-11-23 01:30:09,652] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777>
2022-11-23T01:32:31.9175342Z [2022-11-23 01:30:09,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9175578Z [2022-11-23 01:30:09,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9175834Z [2022-11-23 01:30:09,653] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9176085Z [2022-11-23 01:30:09,656] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9176282Z [2022-11-23 01:30:09,656] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9176423Z  __compiled_fn_653 <eval_with_key>.4041 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9176512Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9176605Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9176699Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9176790Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9176891Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:31.9177018Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T01:32:31.9177024Z 
2022-11-23T01:32:31.9177350Z [2022-11-23 01:30:09,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9177443Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9177539Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9177633Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9177735Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9177827Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9177921Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9178002Z              12 RETURN_VALUE
2022-11-23T01:32:31.9178008Z 
2022-11-23T01:32:31.9178072Z  
2022-11-23T01:32:31.9178384Z [2022-11-23 01:30:09,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9178501Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_653)
2022-11-23T01:32:31.9178597Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9178691Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9178773Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9178983Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9179094Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9179241Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9179363Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9179444Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9179551Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9179645Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9179724Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9179828Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9179916Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9179995Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9180101Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9180194Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9180275Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9180367Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.9180447Z              38 RETURN_VALUE
2022-11-23T01:32:31.9180452Z 
2022-11-23T01:32:31.9180519Z  
2022-11-23T01:32:31.9180704Z [2022-11-23 01:30:09,657] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9180783Z  - 
2022-11-23T01:32:31.9180907Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9180977Z             {
2022-11-23T01:32:31.9181122Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9181313Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9181435Z                 'obj_weakref': None
2022-11-23T01:32:31.9181654Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9181724Z             }
2022-11-23T01:32:31.9181791Z             
2022-11-23T01:32:31.9181866Z  - 
2022-11-23T01:32:31.9181994Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9182063Z             {
2022-11-23T01:32:31.9182209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9182315Z                 'code': None,
2022-11-23T01:32:31.9182534Z                 'obj_weakref': <weakref at 0x7f1ff81a5030; to 'Tensor' at 0x7f2022f12610>
2022-11-23T01:32:31.9182786Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9182853Z             }
2022-11-23T01:32:31.9182920Z             
2022-11-23T01:32:31.9182993Z  - 
2022-11-23T01:32:31.9183127Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9183188Z             {
2022-11-23T01:32:31.9183328Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9183501Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9183623Z                 'obj_weakref': None
2022-11-23T01:32:31.9183854Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9183921Z             }
2022-11-23T01:32:31.9183988Z             
2022-11-23T01:32:31.9184055Z  - 
2022-11-23T01:32:31.9184181Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9184250Z             {
2022-11-23T01:32:31.9184394Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9184612Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9184733Z                 'obj_weakref': None
2022-11-23T01:32:31.9184956Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9185017Z             }
2022-11-23T01:32:31.9185084Z             
2022-11-23T01:32:31.9185346Z [2022-11-23 01:30:09,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 636
2022-11-23T01:32:31.9185723Z [2022-11-23 01:30:09,670] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.9186114Z [2022-11-23 01:30:09,757] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sg/csg2ndajmdxac4wl5xc4ztwamezcyn3tw2qpnkjrslb5l7rugfj3.py
2022-11-23T01:32:31.9186401Z [2022-11-23 01:30:09,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 636
2022-11-23T01:32:31.9186406Z 
2022-11-23T01:32:31.9186506Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9186580Z import torch
2022-11-23T01:32:31.9186647Z import random
2022-11-23T01:32:31.9186770Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9186894Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9186900Z 
2022-11-23T01:32:31.9186982Z aten = torch.ops.aten
2022-11-23T01:32:31.9187119Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9187216Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9187221Z 
2022-11-23T01:32:31.9187294Z import triton
2022-11-23T01:32:31.9187385Z import triton.language as tl
2022-11-23T01:32:31.9187504Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9187649Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9187657Z 
2022-11-23T01:32:31.9187662Z 
2022-11-23T01:32:31.9187849Z triton_fused_max_1_argmin_min_1_sum_10 = async_compile.triton('''
2022-11-23T01:32:31.9187924Z import triton
2022-11-23T01:32:31.9188014Z import triton.language as tl
2022-11-23T01:32:31.9188128Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9188229Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9188362Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9188482Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9188487Z 
2022-11-23T01:32:31.9188576Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9188691Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9188778Z               filename=__file__,
2022-11-23T01:32:31.9189148Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*i64', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9189223Z @triton.jit
2022-11-23T01:32:31.9189417Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9189491Z     xnumel = 1
2022-11-23T01:32:31.9189557Z     rnumel = 4
2022-11-23T01:32:31.9189653Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9189788Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9189872Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9189992Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9190110Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9190363Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9190499Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9190629Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9190745Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9190855Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9190943Z         rindex = roffset + rbase
2022-11-23T01:32:31.9191028Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9191099Z         r0 = rindex
2022-11-23T01:32:31.9191289Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.9191410Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9191541Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9191664Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9191809Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 > tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9191934Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 > tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9192048Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9192220Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9192349Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9192483Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9192598Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9192729Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9192825Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9192934Z     	tl.argmin(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9193054Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9193143Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9193229Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9193354Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9193486Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9193572Z ''')
2022-11-23T01:32:31.9193580Z 
2022-11-23T01:32:31.9193585Z 
2022-11-23T01:32:31.9193677Z async_compile.wait(globals())
2022-11-23T01:32:31.9193753Z del async_compile
2022-11-23T01:32:31.9193758Z 
2022-11-23T01:32:31.9193831Z def call(args):
2022-11-23T01:32:31.9193898Z     arg0_1, = args
2022-11-23T01:32:31.9193973Z     args.clear()
2022-11-23T01:32:31.9194161Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9194346Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9194525Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9194706Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9194796Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9194961Z     triton_fused_max_1_argmin_min_1_sum_10.run(arg0_1, buf0, buf1, buf2, buf3, 1, 4, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9195036Z     del arg0_1
2022-11-23T01:32:31.9195131Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:31.9195140Z 
2022-11-23T01:32:31.9195144Z 
2022-11-23T01:32:31.9195224Z if __name__ == "__main__":
2022-11-23T01:32:31.9195343Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9195470Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9195663Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9195775Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9195780Z 
2022-11-23T01:32:31.9195785Z 
2022-11-23T01:32:31.9195881Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9195949Z import torch
2022-11-23T01:32:31.9196022Z import random
2022-11-23T01:32:31.9196143Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9196267Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9196272Z 
2022-11-23T01:32:31.9196358Z aten = torch.ops.aten
2022-11-23T01:32:31.9196498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9196595Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9196600Z 
2022-11-23T01:32:31.9196667Z import triton
2022-11-23T01:32:31.9196758Z import triton.language as tl
2022-11-23T01:32:31.9196882Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9197023Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9197028Z 
2022-11-23T01:32:31.9197033Z 
2022-11-23T01:32:31.9197216Z triton_fused_sum_1_max_1_min_1_argmin0 = async_compile.triton('''
2022-11-23T01:32:31.9197291Z import triton
2022-11-23T01:32:31.9197381Z import triton.language as tl
2022-11-23T01:32:31.9197493Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9197589Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9197726Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9197850Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9197855Z 
2022-11-23T01:32:31.9197973Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9198108Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9198195Z               filename=__file__,
2022-11-23T01:32:31.9198562Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*i64', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9198638Z @triton.jit
2022-11-23T01:32:31.9198827Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9198900Z     xnumel = 1
2022-11-23T01:32:31.9198972Z     rnumel = 4
2022-11-23T01:32:31.9199068Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9199203Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9199286Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9199409Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9199521Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9199704Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9199832Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9199957Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9200073Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9200178Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9200266Z         rindex = roffset + rbase
2022-11-23T01:32:31.9200345Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9200417Z         r0 = rindex
2022-11-23T01:32:31.9200655Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.9200777Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9200903Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9201027Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9201172Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 > tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9201293Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 > tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9201399Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9201530Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9201643Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9201774Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9201886Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9202013Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9202108Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9202211Z     	tl.argmin(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9202338Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9202435Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9202522Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9202648Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9202776Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9202863Z ''')
2022-11-23T01:32:31.9202868Z 
2022-11-23T01:32:31.9202873Z 
2022-11-23T01:32:31.9202968Z async_compile.wait(globals())
2022-11-23T01:32:31.9203038Z del async_compile
2022-11-23T01:32:31.9203043Z 
2022-11-23T01:32:31.9203116Z def call(args):
2022-11-23T01:32:31.9203188Z     arg0_1, = args
2022-11-23T01:32:31.9203261Z     args.clear()
2022-11-23T01:32:31.9203447Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9203628Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9203869Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9204064Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9204155Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9204328Z     triton_fused_sum_1_max_1_min_1_argmin0.run(arg0_1, buf0, buf1, buf2, buf3, 1, 4, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9204401Z     del arg0_1
2022-11-23T01:32:31.9204494Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:31.9204499Z 
2022-11-23T01:32:31.9204504Z 
2022-11-23T01:32:31.9204586Z if __name__ == "__main__":
2022-11-23T01:32:31.9204703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9204830Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9205016Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9205130Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9205135Z 
2022-11-23T01:32:31.9205205Z ok (0.329s)
2022-11-23T01:32:31.9205516Z   test_reduction3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9205830Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9206050Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9206304Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9206580Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9206894Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9207233Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9207545Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9207914Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784> 
2022-11-23T01:32:31.9208012Z  786           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9208111Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9208204Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9208299Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9208397Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9208487Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9208574Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9208670Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9208763Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9208856Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9208956Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:31.9209046Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9209137Z              24 BUILD_TUPLE              4
2022-11-23T01:32:31.9209212Z              26 RETURN_VALUE
2022-11-23T01:32:31.9209276Z  
2022-11-23T01:32:31.9209281Z 
2022-11-23T01:32:31.9209594Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786
2022-11-23T01:32:31.9209806Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9210047Z [2022-11-23 01:30:09,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9210350Z [2022-11-23 01:30:09,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9210619Z [2022-11-23 01:30:09,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9210884Z [2022-11-23 01:30:09,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9211183Z [2022-11-23 01:30:09,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9211438Z [2022-11-23 01:30:09,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9211730Z [2022-11-23 01:30:09,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9212056Z [2022-11-23 01:30:09,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9212344Z [2022-11-23 01:30:09,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9212664Z [2022-11-23 01:30:09,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9213017Z [2022-11-23 01:30:09,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9213334Z [2022-11-23 01:30:09,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9213579Z [2022-11-23 01:30:09,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9213948Z [2022-11-23 01:30:09,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784>
2022-11-23T01:32:31.9214193Z [2022-11-23 01:30:09,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9214428Z [2022-11-23 01:30:09,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9214673Z [2022-11-23 01:30:09,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9214922Z [2022-11-23 01:30:09,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9215112Z [2022-11-23 01:30:09,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9215252Z  __compiled_fn_654 <eval_with_key>.4047 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9215344Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9215441Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9215534Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9215624Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9215719Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:31.9215846Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T01:32:31.9215852Z 
2022-11-23T01:32:31.9216172Z [2022-11-23 01:30:09,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9216271Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9216372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9216463Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9216562Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9216652Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9216739Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9216844Z              12 RETURN_VALUE
2022-11-23T01:32:31.9216869Z 
2022-11-23T01:32:31.9216933Z  
2022-11-23T01:32:31.9217250Z [2022-11-23 01:30:09,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9217367Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_654)
2022-11-23T01:32:31.9217463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9217559Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9217634Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9217726Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9217835Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9217943Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9218039Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9218120Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9218229Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9218328Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9218402Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9218507Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9218602Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9218681Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9218896Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9218992Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9219071Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9219156Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.9219237Z              38 RETURN_VALUE
2022-11-23T01:32:31.9219242Z 
2022-11-23T01:32:31.9219306Z  
2022-11-23T01:32:31.9219495Z [2022-11-23 01:30:09,771] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9219571Z  - 
2022-11-23T01:32:31.9219692Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9219764Z             {
2022-11-23T01:32:31.9219904Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9220091Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9220213Z                 'obj_weakref': None
2022-11-23T01:32:31.9220439Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9220506Z             }
2022-11-23T01:32:31.9220573Z             
2022-11-23T01:32:31.9220646Z  - 
2022-11-23T01:32:31.9220767Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9220834Z             {
2022-11-23T01:32:31.9220979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9221088Z                 'code': None,
2022-11-23T01:32:31.9221303Z                 'obj_weakref': <weakref at 0x7f1fd97bb650; to 'Tensor' at 0x7f212794aa20>
2022-11-23T01:32:31.9221553Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9221620Z             }
2022-11-23T01:32:31.9221684Z             
2022-11-23T01:32:31.9221758Z  - 
2022-11-23T01:32:31.9221890Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9221956Z             {
2022-11-23T01:32:31.9222093Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9222265Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9222387Z                 'obj_weakref': None
2022-11-23T01:32:31.9222607Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9222676Z             }
2022-11-23T01:32:31.9222742Z             
2022-11-23T01:32:31.9222816Z  - 
2022-11-23T01:32:31.9222938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9223004Z             {
2022-11-23T01:32:31.9223142Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9223394Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9223515Z                 'obj_weakref': None
2022-11-23T01:32:31.9223760Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9223828Z             }
2022-11-23T01:32:31.9223896Z             
2022-11-23T01:32:31.9224157Z [2022-11-23 01:30:09,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 637
2022-11-23T01:32:31.9224523Z [2022-11-23 01:30:09,784] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.9224882Z [2022-11-23 01:30:09,871] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co42ebwrafunhkojsmpkt67rpum5gvj7zkzdc552qegtmjzwaiu4.py
2022-11-23T01:32:31.9225136Z [2022-11-23 01:30:09,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 637
2022-11-23T01:32:31.9225372Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9225685Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9225904Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9226153Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9226425Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9226738Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9227077Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9227395Z [2022-11-23 01:30:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9227757Z [2022-11-23 01:30:09,876] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784> 
2022-11-23T01:32:31.9227850Z  786           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9227950Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:31.9228042Z               4 CALL_METHOD              0
2022-11-23T01:32:31.9228135Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9228231Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:31.9228321Z              10 CALL_METHOD              0
2022-11-23T01:32:31.9228412Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9228504Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:31.9228596Z              16 CALL_METHOD              0
2022-11-23T01:32:31.9228688Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9228787Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:31.9228877Z              22 CALL_METHOD              0
2022-11-23T01:32:31.9228968Z              24 BUILD_TUPLE              4
2022-11-23T01:32:31.9229047Z              26 RETURN_VALUE
2022-11-23T01:32:31.9229106Z  
2022-11-23T01:32:31.9229117Z 
2022-11-23T01:32:31.9229419Z [2022-11-23 01:30:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786
2022-11-23T01:32:31.9229631Z [2022-11-23 01:30:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9229871Z [2022-11-23 01:30:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:31.9230173Z [2022-11-23 01:30:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:31.9230515Z [2022-11-23 01:30:09,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9230781Z [2022-11-23 01:30:09,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9231085Z [2022-11-23 01:30:09,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:31.9231345Z [2022-11-23 01:30:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9231634Z [2022-11-23 01:30:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9231955Z [2022-11-23 01:30:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:31.9232244Z [2022-11-23 01:30:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9232560Z [2022-11-23 01:30:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9232914Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9233229Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9233476Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9233847Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784>
2022-11-23T01:32:31.9234092Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9234325Z [2022-11-23 01:30:09,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9234579Z [2022-11-23 01:30:09,880] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9234831Z [2022-11-23 01:30:09,883] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9235017Z [2022-11-23 01:30:09,884] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9235156Z  __compiled_fn_655 <eval_with_key>.4053 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9235250Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9235344Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:31.9235439Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:31.9235533Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:31.9235634Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:31.9235754Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T01:32:31.9235765Z 
2022-11-23T01:32:31.9236078Z [2022-11-23 01:30:09,884] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9236178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9236276Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9236368Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9236467Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9236556Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9236650Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9236724Z              12 RETURN_VALUE
2022-11-23T01:32:31.9236765Z 
2022-11-23T01:32:31.9236825Z  
2022-11-23T01:32:31.9237164Z [2022-11-23 01:30:09,884] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9237281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_655)
2022-11-23T01:32:31.9237376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9237472Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9237552Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9237643Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9237747Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9237855Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9237951Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9238035Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9238143Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9238237Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9238320Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9238420Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9238514Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9238594Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9238699Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9238791Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:31.9238871Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9238963Z              36 BUILD_TUPLE              4
2022-11-23T01:32:31.9239037Z              38 RETURN_VALUE
2022-11-23T01:32:31.9239048Z 
2022-11-23T01:32:31.9239107Z  
2022-11-23T01:32:31.9239295Z [2022-11-23 01:30:09,885] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9239369Z  - 
2022-11-23T01:32:31.9239492Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9239559Z             {
2022-11-23T01:32:31.9239704Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9239890Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9240013Z                 'obj_weakref': None
2022-11-23T01:32:31.9240235Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9240303Z             }
2022-11-23T01:32:31.9240370Z             
2022-11-23T01:32:31.9240444Z  - 
2022-11-23T01:32:31.9240573Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9240634Z             {
2022-11-23T01:32:31.9240778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9240889Z                 'code': None,
2022-11-23T01:32:31.9241100Z                 'obj_weakref': <weakref at 0x7f1ff81c0c20; to 'Tensor' at 0x7f1fd97bad40>
2022-11-23T01:32:31.9241346Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9241416Z             }
2022-11-23T01:32:31.9241483Z             
2022-11-23T01:32:31.9241553Z  - 
2022-11-23T01:32:31.9241688Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9241754Z             {
2022-11-23T01:32:31.9241891Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9242062Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9242183Z                 'obj_weakref': None
2022-11-23T01:32:31.9242412Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9242479Z             }
2022-11-23T01:32:31.9242540Z             
2022-11-23T01:32:31.9242613Z  - 
2022-11-23T01:32:31.9242737Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9242805Z             {
2022-11-23T01:32:31.9242944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9243159Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9243304Z                 'obj_weakref': None
2022-11-23T01:32:31.9243546Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9243613Z             }
2022-11-23T01:32:31.9243680Z             
2022-11-23T01:32:31.9243938Z [2022-11-23 01:30:09,890] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 638
2022-11-23T01:32:31.9244309Z [2022-11-23 01:30:09,897] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:31.9244668Z [2022-11-23 01:30:09,984] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjr77el3eeuloh2oafu4jfinrxlffsgvzjbmun3vhcjj2ji4xsd2.py
2022-11-23T01:32:31.9244931Z [2022-11-23 01:30:09,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 638
2022-11-23T01:32:31.9244937Z 
2022-11-23T01:32:31.9245037Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9245104Z import torch
2022-11-23T01:32:31.9245180Z import random
2022-11-23T01:32:31.9245299Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9245424Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9245430Z 
2022-11-23T01:32:31.9245510Z aten = torch.ops.aten
2022-11-23T01:32:31.9245649Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9245745Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9245750Z 
2022-11-23T01:32:31.9245822Z import triton
2022-11-23T01:32:31.9245908Z import triton.language as tl
2022-11-23T01:32:31.9246033Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9246175Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9246180Z 
2022-11-23T01:32:31.9246185Z 
2022-11-23T01:32:31.9246372Z triton_fused_max_1_argmax_sum_1_min_10 = async_compile.triton('''
2022-11-23T01:32:31.9246446Z import triton
2022-11-23T01:32:31.9246540Z import triton.language as tl
2022-11-23T01:32:31.9246656Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9246751Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9246883Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9247008Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9247014Z 
2022-11-23T01:32:31.9247105Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9247220Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9247305Z               filename=__file__,
2022-11-23T01:32:31.9247680Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*i64', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9247751Z @triton.jit
2022-11-23T01:32:31.9247941Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9248016Z     xnumel = 1
2022-11-23T01:32:31.9248090Z     rnumel = 4
2022-11-23T01:32:31.9248187Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9248323Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9248406Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9248525Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9248637Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9248821Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9248947Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9249126Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9249242Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9249349Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9249439Z         rindex = roffset + rbase
2022-11-23T01:32:31.9249554Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9249638Z         r0 = rindex
2022-11-23T01:32:31.9249832Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.9249954Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9250081Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9250203Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9250345Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9250467Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9250574Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9250705Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9250819Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9250955Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9251067Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9251199Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9251295Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9251404Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9251519Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9251614Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9251700Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9251827Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9251956Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9252040Z ''')
2022-11-23T01:32:31.9252046Z 
2022-11-23T01:32:31.9252051Z 
2022-11-23T01:32:31.9252146Z async_compile.wait(globals())
2022-11-23T01:32:31.9252216Z del async_compile
2022-11-23T01:32:31.9252226Z 
2022-11-23T01:32:31.9252297Z def call(args):
2022-11-23T01:32:31.9252370Z     arg0_1, = args
2022-11-23T01:32:31.9252447Z     args.clear()
2022-11-23T01:32:31.9252638Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9252821Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9253000Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9253182Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9253266Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9253437Z     triton_fused_max_1_argmax_sum_1_min_10.run(arg0_1, buf0, buf1, buf2, buf3, 1, 4, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9253509Z     del arg0_1
2022-11-23T01:32:31.9253600Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:31.9253605Z 
2022-11-23T01:32:31.9253610Z 
2022-11-23T01:32:31.9253689Z if __name__ == "__main__":
2022-11-23T01:32:31.9253807Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9253939Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9254137Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9254243Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9254248Z 
2022-11-23T01:32:31.9254253Z 
2022-11-23T01:32:31.9254350Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9254422Z import torch
2022-11-23T01:32:31.9254496Z import random
2022-11-23T01:32:31.9254616Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9254739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9254744Z 
2022-11-23T01:32:31.9254824Z aten = torch.ops.aten
2022-11-23T01:32:31.9254956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9255052Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9255057Z 
2022-11-23T01:32:31.9255130Z import triton
2022-11-23T01:32:31.9255221Z import triton.language as tl
2022-11-23T01:32:31.9255372Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9255548Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9255553Z 
2022-11-23T01:32:31.9255558Z 
2022-11-23T01:32:31.9255744Z triton_fused_min_1_sum_1_max_1_argmax0 = async_compile.triton('''
2022-11-23T01:32:31.9255818Z import triton
2022-11-23T01:32:31.9255903Z import triton.language as tl
2022-11-23T01:32:31.9256017Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9256120Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9256250Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9256377Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9256382Z 
2022-11-23T01:32:31.9256470Z @reduction(size_hints=[1, 4],
2022-11-23T01:32:31.9256585Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9256671Z               filename=__file__,
2022-11-23T01:32:31.9257034Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*i64', 5: 'i32', 6: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9257109Z @triton.jit
2022-11-23T01:32:31.9257306Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9257380Z     xnumel = 1
2022-11-23T01:32:31.9257451Z     rnumel = 4
2022-11-23T01:32:31.9257548Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9257682Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9257765Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9257880Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9257996Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:31.9258178Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9258304Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9258485Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9258604Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9258709Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9258900Z         rindex = roffset + rbase
2022-11-23T01:32:31.9258990Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9259062Z         r0 = rindex
2022-11-23T01:32:31.9259286Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.9259407Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:31.9259537Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9259660Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 > tmp0), tmp0, _tmp3)
2022-11-23T01:32:31.9259797Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:31.9259921Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:31.9260037Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9260168Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9260281Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9260413Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9260525Z     tmp3 = tl.reshape(tl.min(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:31.9260655Z     tl.store(out_ptr2 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp3, None)
2022-11-23T01:32:31.9260744Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:31.9260854Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9260972Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9261067Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:31.9261153Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9261320Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9261476Z     tl.store(out_ptr3 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp4, None)
2022-11-23T01:32:31.9261557Z ''')
2022-11-23T01:32:31.9261563Z 
2022-11-23T01:32:31.9261576Z 
2022-11-23T01:32:31.9261663Z async_compile.wait(globals())
2022-11-23T01:32:31.9261739Z del async_compile
2022-11-23T01:32:31.9261744Z 
2022-11-23T01:32:31.9261818Z def call(args):
2022-11-23T01:32:31.9261890Z     arg0_1, = args
2022-11-23T01:32:31.9261965Z     args.clear()
2022-11-23T01:32:31.9262151Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9262333Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9262504Z     buf2 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9262685Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9262775Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9262953Z     triton_fused_min_1_sum_1_max_1_argmax0.run(arg0_1, buf0, buf1, buf2, buf3, 1, 4, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9263030Z     del arg0_1
2022-11-23T01:32:31.9263122Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:31.9263127Z 
2022-11-23T01:32:31.9263132Z 
2022-11-23T01:32:31.9263210Z if __name__ == "__main__":
2022-11-23T01:32:31.9263329Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9263450Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9263644Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9263756Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9263761Z 
2022-11-23T01:32:31.9263831Z ok (0.227s)
2022-11-23T01:32:31.9264139Z   test_reduction4_cuda (__main__.CudaTests) ... [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9264454Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9264678Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9264935Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9265211Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9265520Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9265857Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9266175Z [2022-11-23 01:30:09,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9266540Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794> 
2022-11-23T01:32:31.9266640Z  795           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9266740Z               2 LOAD_METHOD              0 (argmax)
2022-11-23T01:32:31.9266879Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9266970Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9267064Z               8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9267155Z              10 LOAD_METHOD              1 (argmin)
2022-11-23T01:32:31.9267291Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9267386Z              14 CALL_METHOD              1
2022-11-23T01:32:31.9267478Z              16 BUILD_TUPLE              2
2022-11-23T01:32:31.9267558Z              18 RETURN_VALUE
2022-11-23T01:32:31.9267623Z  
2022-11-23T01:32:31.9267659Z 
2022-11-23T01:32:31.9267971Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:795
2022-11-23T01:32:31.9268198Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9268442Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable()]
2022-11-23T01:32:31.9268718Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9269033Z [2022-11-23 01:30:09,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:31.9269270Z [2022-11-23 01:30:09,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9269539Z [2022-11-23 01:30:09,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9269840Z [2022-11-23 01:30:09,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9270179Z [2022-11-23 01:30:09,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:31.9270523Z [2022-11-23 01:30:09,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9270769Z [2022-11-23 01:30:09,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9271129Z [2022-11-23 01:30:09,992] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794>
2022-11-23T01:32:31.9271375Z [2022-11-23 01:30:09,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9271611Z [2022-11-23 01:30:09,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9271864Z [2022-11-23 01:30:09,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9272118Z [2022-11-23 01:30:09,995] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9272308Z [2022-11-23 01:30:09,995] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9272448Z  __compiled_fn_656 <eval_with_key>.4059 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9272543Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9272692Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:31.9272830Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:31.9272944Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:31.9272950Z 
2022-11-23T01:32:31.9273276Z [2022-11-23 01:30:09,995] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9273377Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9273473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9273564Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9273662Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9273751Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9273838Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9273917Z              12 RETURN_VALUE
2022-11-23T01:32:31.9273923Z 
2022-11-23T01:32:31.9273987Z  
2022-11-23T01:32:31.9274302Z [2022-11-23 01:30:09,996] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9274416Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_656)
2022-11-23T01:32:31.9274538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9274655Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9274730Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9274823Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9274933Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9275041Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9275133Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9275213Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9275320Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9275416Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9275490Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9275584Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9275665Z              26 RETURN_VALUE
2022-11-23T01:32:31.9275670Z 
2022-11-23T01:32:31.9275734Z  
2022-11-23T01:32:31.9275922Z [2022-11-23 01:30:09,996] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9275998Z  - 
2022-11-23T01:32:31.9276118Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9276180Z             {
2022-11-23T01:32:31.9276325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9276512Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9276634Z                 'obj_weakref': None
2022-11-23T01:32:31.9276856Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9276925Z             }
2022-11-23T01:32:31.9276991Z             
2022-11-23T01:32:31.9277059Z  - 
2022-11-23T01:32:31.9277186Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9277253Z             {
2022-11-23T01:32:31.9277398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9277509Z                 'code': None,
2022-11-23T01:32:31.9277718Z                 'obj_weakref': <weakref at 0x7f1fe812e700; to 'Tensor' at 0x7f20601ef2e0>
2022-11-23T01:32:31.9277967Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9278028Z             }
2022-11-23T01:32:31.9278095Z             
2022-11-23T01:32:31.9278170Z  - 
2022-11-23T01:32:31.9278301Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9278368Z             {
2022-11-23T01:32:31.9278507Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9278677Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9278794Z                 'obj_weakref': None
2022-11-23T01:32:31.9279020Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9279088Z             }
2022-11-23T01:32:31.9279154Z             
2022-11-23T01:32:31.9279228Z  - 
2022-11-23T01:32:31.9279351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9279417Z             {
2022-11-23T01:32:31.9279551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9279765Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9279886Z                 'obj_weakref': None
2022-11-23T01:32:31.9280107Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9280174Z             }
2022-11-23T01:32:31.9280240Z             
2022-11-23T01:32:31.9280498Z [2022-11-23 01:30:10,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 639
2022-11-23T01:32:31.9280780Z [2022-11-23 01:30:10,004] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9281139Z [2022-11-23 01:30:10,106] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cz/cczum2gp5ufqucpby7moqicqtbzctc2l26zoxypbwbc7bzdosw7j.py
2022-11-23T01:32:31.9281431Z [2022-11-23 01:30:10,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 639
2022-11-23T01:32:31.9281689Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9282000Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9282216Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9282465Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9282739Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9283052Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9283390Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9283700Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9284063Z [2022-11-23 01:30:10,109] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794> 
2022-11-23T01:32:31.9284160Z  795           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9284262Z               2 LOAD_METHOD              0 (argmax)
2022-11-23T01:32:31.9284400Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9284495Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9284589Z               8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9284690Z              10 LOAD_METHOD              1 (argmin)
2022-11-23T01:32:31.9284820Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9284914Z              14 CALL_METHOD              1
2022-11-23T01:32:31.9285006Z              16 BUILD_TUPLE              2
2022-11-23T01:32:31.9285086Z              18 RETURN_VALUE
2022-11-23T01:32:31.9285151Z  
2022-11-23T01:32:31.9285156Z 
2022-11-23T01:32:31.9285468Z [2022-11-23 01:30:10,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:795
2022-11-23T01:32:31.9285680Z [2022-11-23 01:30:10,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9285925Z [2022-11-23 01:30:10,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable()]
2022-11-23T01:32:31.9286194Z [2022-11-23 01:30:10,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9286508Z [2022-11-23 01:30:10,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:31.9286747Z [2022-11-23 01:30:10,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9287016Z [2022-11-23 01:30:10,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9287323Z [2022-11-23 01:30:10,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9287668Z [2022-11-23 01:30:10,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:31.9287937Z [2022-11-23 01:30:10,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9288217Z [2022-11-23 01:30:10,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9288610Z [2022-11-23 01:30:10,112] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794>
2022-11-23T01:32:31.9288856Z [2022-11-23 01:30:10,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9289093Z [2022-11-23 01:30:10,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9289344Z [2022-11-23 01:30:10,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9289600Z [2022-11-23 01:30:10,115] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9289795Z [2022-11-23 01:30:10,116] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9289935Z  __compiled_fn_657 <eval_with_key>.4065 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9290031Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9290182Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:31.9290328Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:31.9290434Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:31.9290444Z 
2022-11-23T01:32:31.9290764Z [2022-11-23 01:30:10,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9290863Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9290959Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9291053Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9291150Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9291240Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9291334Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9291408Z              12 RETURN_VALUE
2022-11-23T01:32:31.9291422Z 
2022-11-23T01:32:31.9291480Z  
2022-11-23T01:32:31.9291802Z [2022-11-23 01:30:10,116] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9291922Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_657)
2022-11-23T01:32:31.9292015Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9292109Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9292191Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9292282Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9292386Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9292494Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9292589Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9292669Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9292777Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9292873Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9292954Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9293041Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9293120Z              26 RETURN_VALUE
2022-11-23T01:32:31.9293125Z 
2022-11-23T01:32:31.9293189Z  
2022-11-23T01:32:31.9293376Z [2022-11-23 01:30:10,117] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9293449Z  - 
2022-11-23T01:32:31.9293574Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9293642Z             {
2022-11-23T01:32:31.9293781Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9293971Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9294094Z                 'obj_weakref': None
2022-11-23T01:32:31.9294316Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9294385Z             }
2022-11-23T01:32:31.9294453Z             
2022-11-23T01:32:31.9294557Z  - 
2022-11-23T01:32:31.9294679Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9294769Z             {
2022-11-23T01:32:31.9294914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9295026Z                 'code': None,
2022-11-23T01:32:31.9295236Z                 'obj_weakref': <weakref at 0x7f1ffad85350; to 'Tensor' at 0x7f2115a8a610>
2022-11-23T01:32:31.9295483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9295551Z             }
2022-11-23T01:32:31.9295612Z             
2022-11-23T01:32:31.9295686Z  - 
2022-11-23T01:32:31.9295822Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9295890Z             {
2022-11-23T01:32:31.9296032Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9296205Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9296328Z                 'obj_weakref': None
2022-11-23T01:32:31.9296555Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9296625Z             }
2022-11-23T01:32:31.9296691Z             
2022-11-23T01:32:31.9296765Z  - 
2022-11-23T01:32:31.9296890Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9296957Z             {
2022-11-23T01:32:31.9297097Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9297307Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9297427Z                 'obj_weakref': None
2022-11-23T01:32:31.9297648Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9297715Z             }
2022-11-23T01:32:31.9297782Z             
2022-11-23T01:32:31.9298042Z [2022-11-23 01:30:10,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 640
2022-11-23T01:32:31.9298342Z [2022-11-23 01:30:10,125] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9298707Z [2022-11-23 01:30:10,235] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3c/c3cfexhwiprtmvtirgght74jbejipcixg64dzdrosqrseuynh7rs.py
2022-11-23T01:32:31.9299081Z [2022-11-23 01:30:10,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 640
2022-11-23T01:32:31.9299319Z [2022-11-23 01:30:10,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9299629Z [2022-11-23 01:30:10,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9299852Z [2022-11-23 01:30:10,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9300102Z [2022-11-23 01:30:10,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9300381Z [2022-11-23 01:30:10,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9300700Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9301036Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9301353Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9301715Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794> 
2022-11-23T01:32:31.9301813Z  795           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9301951Z               2 LOAD_METHOD              0 (argmax)
2022-11-23T01:32:31.9302155Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9302248Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9302343Z               8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9302441Z              10 LOAD_METHOD              1 (argmin)
2022-11-23T01:32:31.9302590Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9302692Z              14 CALL_METHOD              1
2022-11-23T01:32:31.9302794Z              16 BUILD_TUPLE              2
2022-11-23T01:32:31.9302881Z              18 RETURN_VALUE
2022-11-23T01:32:31.9302945Z  
2022-11-23T01:32:31.9302951Z 
2022-11-23T01:32:31.9303259Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:795
2022-11-23T01:32:31.9303471Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9303718Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable()]
2022-11-23T01:32:31.9303997Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9304310Z [2022-11-23 01:30:10,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:31.9304545Z [2022-11-23 01:30:10,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9304806Z [2022-11-23 01:30:10,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9305106Z [2022-11-23 01:30:10,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9305446Z [2022-11-23 01:30:10,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:31.9305711Z [2022-11-23 01:30:10,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9305954Z [2022-11-23 01:30:10,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9306319Z [2022-11-23 01:30:10,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794>
2022-11-23T01:32:31.9306563Z [2022-11-23 01:30:10,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9306793Z [2022-11-23 01:30:10,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9307046Z [2022-11-23 01:30:10,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9307297Z [2022-11-23 01:30:10,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9307482Z [2022-11-23 01:30:10,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9307622Z  __compiled_fn_658 <eval_with_key>.4071 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9307715Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9307861Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:31.9308006Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:31.9308120Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:31.9308125Z 
2022-11-23T01:32:31.9308449Z [2022-11-23 01:30:10,245] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9308548Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9308638Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9308758Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9308878Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9308969Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9309061Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9309141Z              12 RETURN_VALUE
2022-11-23T01:32:31.9309147Z 
2022-11-23T01:32:31.9309211Z  
2022-11-23T01:32:31.9309518Z [2022-11-23 01:30:10,245] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9309635Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_658)
2022-11-23T01:32:31.9309729Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9309825Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9309906Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9309997Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9310109Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9310215Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9310377Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9310473Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9310601Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9310700Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9310780Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9310873Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9310952Z              26 RETURN_VALUE
2022-11-23T01:32:31.9310957Z 
2022-11-23T01:32:31.9311015Z  
2022-11-23T01:32:31.9311203Z [2022-11-23 01:30:10,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9311277Z  - 
2022-11-23T01:32:31.9311400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9311470Z             {
2022-11-23T01:32:31.9311615Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9311808Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9311928Z                 'obj_weakref': None
2022-11-23T01:32:31.9312150Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9312217Z             }
2022-11-23T01:32:31.9312284Z             
2022-11-23T01:32:31.9312359Z  - 
2022-11-23T01:32:31.9312486Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9312555Z             {
2022-11-23T01:32:31.9312694Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9312828Z                 'code': None,
2022-11-23T01:32:31.9313062Z                 'obj_weakref': <weakref at 0x7f207277eac0; to 'Tensor' at 0x7f20233e4770>
2022-11-23T01:32:31.9313310Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9313377Z             }
2022-11-23T01:32:31.9313444Z             
2022-11-23T01:32:31.9313517Z  - 
2022-11-23T01:32:31.9313646Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9313715Z             {
2022-11-23T01:32:31.9313852Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9314023Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9314144Z                 'obj_weakref': None
2022-11-23T01:32:31.9314370Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9314437Z             }
2022-11-23T01:32:31.9314498Z             
2022-11-23T01:32:31.9314571Z  - 
2022-11-23T01:32:31.9314694Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9314762Z             {
2022-11-23T01:32:31.9314900Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9315116Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9315235Z                 'obj_weakref': None
2022-11-23T01:32:31.9315479Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9315576Z             }
2022-11-23T01:32:31.9315644Z             
2022-11-23T01:32:31.9315903Z [2022-11-23 01:30:10,249] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 641
2022-11-23T01:32:31.9316151Z [2022-11-23 01:30:10,253] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9316391Z [2022-11-23 01:30:10,254] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9316397Z 
2022-11-23T01:32:31.9316494Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9316566Z import torch
2022-11-23T01:32:31.9316633Z import random
2022-11-23T01:32:31.9316752Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9316877Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9316882Z 
2022-11-23T01:32:31.9316963Z aten = torch.ops.aten
2022-11-23T01:32:31.9317103Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9317202Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9317207Z 
2022-11-23T01:32:31.9317280Z import triton
2022-11-23T01:32:31.9317365Z import triton.language as tl
2022-11-23T01:32:31.9317490Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9317631Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9317636Z 
2022-11-23T01:32:31.9317641Z 
2022-11-23T01:32:31.9317815Z triton_fused_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:31.9317888Z import triton
2022-11-23T01:32:31.9317980Z import triton.language as tl
2022-11-23T01:32:31.9318093Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9318196Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9318322Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9318452Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9318457Z 
2022-11-23T01:32:31.9318548Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:31.9318663Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9318751Z               filename=__file__,
2022-11-23T01:32:31.9319089Z               meta={'signature': {0: '*fp32', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:31.9319161Z @triton.jit
2022-11-23T01:32:31.9319338Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9319404Z     xnumel = 1
2022-11-23T01:32:31.9319477Z     rnumel = 128
2022-11-23T01:32:31.9319575Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9319710Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9319792Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9319912Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9320099Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9320212Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9320339Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9320455Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9320559Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9320648Z         rindex = roffset + rbase
2022-11-23T01:32:31.9320733Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9320805Z         r0 = rindex
2022-11-23T01:32:31.9320993Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:31.9321138Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:31.9321266Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:31.9321406Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:31.9321557Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9321675Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:31.9321785Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9321906Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9321995Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:31.9322082Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9322208Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9322343Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9322437Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:31.9322544Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9322661Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9322750Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:31.9322835Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9322960Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9323092Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9323179Z ''')
2022-11-23T01:32:31.9323184Z 
2022-11-23T01:32:31.9323188Z 
2022-11-23T01:32:31.9323281Z async_compile.wait(globals())
2022-11-23T01:32:31.9323357Z del async_compile
2022-11-23T01:32:31.9323362Z 
2022-11-23T01:32:31.9323435Z def call(args):
2022-11-23T01:32:31.9323502Z     arg0_1, = args
2022-11-23T01:32:31.9323576Z     args.clear()
2022-11-23T01:32:31.9323758Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9323936Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9324025Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9324182Z     triton_fused_argmin_argmax0.run(arg0_1, buf0, buf1, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9324254Z     del arg0_1
2022-11-23T01:32:31.9324328Z     return (buf0, buf1, )
2022-11-23T01:32:31.9324334Z 
2022-11-23T01:32:31.9324346Z 
2022-11-23T01:32:31.9324422Z if __name__ == "__main__":
2022-11-23T01:32:31.9324540Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9324668Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9324866Z     arg0_1 = rand_strided((128, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9324978Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9324983Z 
2022-11-23T01:32:31.9324988Z 
2022-11-23T01:32:31.9325085Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9325157Z import torch
2022-11-23T01:32:31.9325224Z import random
2022-11-23T01:32:31.9325345Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9325469Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9325474Z 
2022-11-23T01:32:31.9325557Z aten = torch.ops.aten
2022-11-23T01:32:31.9325695Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9325792Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9325798Z 
2022-11-23T01:32:31.9325872Z import triton
2022-11-23T01:32:31.9325962Z import triton.language as tl
2022-11-23T01:32:31.9326081Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9326221Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9326226Z 
2022-11-23T01:32:31.9326230Z 
2022-11-23T01:32:31.9326400Z triton_fused_argmax_argmin0 = async_compile.triton('''
2022-11-23T01:32:31.9326473Z import triton
2022-11-23T01:32:31.9326563Z import triton.language as tl
2022-11-23T01:32:31.9326676Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9326779Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9326905Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:31.9327030Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9327035Z 
2022-11-23T01:32:31.9327123Z @reduction(size_hints=[1, 128],
2022-11-23T01:32:31.9327265Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:31.9327352Z               filename=__file__,
2022-11-23T01:32:31.9327716Z               meta={'signature': {0: '*fp16', 1: '*i64', 2: '*i64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:31.9327788Z @triton.jit
2022-11-23T01:32:31.9327969Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:31.9328035Z     xnumel = 1
2022-11-23T01:32:31.9328109Z     rnumel = 128
2022-11-23T01:32:31.9328207Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9328343Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:31.9328424Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9328545Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:31.9328729Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:31.9328847Z     _tmp1_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9328969Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:31.9329084Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:31.9336791Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:31.9336900Z         rindex = roffset + rbase
2022-11-23T01:32:31.9336985Z         rmask = rindex < rnumel
2022-11-23T01:32:31.9337059Z         r0 = rindex
2022-11-23T01:32:31.9337305Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:31.9337446Z         _tmp1_index = tl.where(xmask & rmask & (_tmp1 < tmp0),  rindex, _tmp1_index)
2022-11-23T01:32:31.9337578Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:31.9337716Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:31.9337841Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:31.9337944Z     _tmp1_index_reduce = tl.reshape(
2022-11-23T01:32:31.9338062Z     	tl.argmax(_tmp1, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9338186Z     _tmp1_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9338276Z     	[1, RBLOCK]) == _tmp1_index_reduce)
2022-11-23T01:32:31.9338365Z     tmp1 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9338493Z     	tl.where(_tmp1_index_mask, _tmp1_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9338628Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:31.9338723Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:31.9339071Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:31.9339193Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:31.9339289Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:31.9339371Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:31.9339495Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:31.9339630Z     tl.store(out_ptr1 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp2, None)
2022-11-23T01:32:31.9339721Z ''')
2022-11-23T01:32:31.9339727Z 
2022-11-23T01:32:31.9339732Z 
2022-11-23T01:32:31.9339827Z async_compile.wait(globals())
2022-11-23T01:32:31.9339905Z del async_compile
2022-11-23T01:32:31.9339910Z 
2022-11-23T01:32:31.9339985Z def call(args):
2022-11-23T01:32:31.9340053Z     arg0_1, = args
2022-11-23T01:32:31.9340130Z     args.clear()
2022-11-23T01:32:31.9340317Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9340499Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9340590Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9340752Z     triton_fused_argmax_argmin0.run(arg0_1, buf0, buf1, 1, 128, grid=grid(1), stream=stream0)
2022-11-23T01:32:31.9340824Z     del arg0_1
2022-11-23T01:32:31.9340899Z     return (buf0, buf1, )
2022-11-23T01:32:31.9340912Z 
2022-11-23T01:32:31.9340917Z 
2022-11-23T01:32:31.9341062Z if __name__ == "__main__":
2022-11-23T01:32:31.9341188Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9341346Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9341548Z     arg0_1 = rand_strided((128, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9341662Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9341667Z 
2022-11-23T01:32:31.9342030Z [2022-11-23 01:30:10,320] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuobpsdmf2uxjwobrktir24a6423iapubqrn3bvnh7vh4qwpoat.py
2022-11-23T01:32:31.9342295Z [2022-11-23 01:30:10,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 641
2022-11-23T01:32:31.9342535Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9342848Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9343061Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9343316Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9343593Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9343905Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9344244Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9344559Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9344929Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794> 
2022-11-23T01:32:31.9345029Z  795           0 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9345129Z               2 LOAD_METHOD              0 (argmax)
2022-11-23T01:32:31.9345263Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9345359Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9345457Z               8 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9345555Z              10 LOAD_METHOD              1 (argmin)
2022-11-23T01:32:31.9345691Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:31.9345783Z              14 CALL_METHOD              1
2022-11-23T01:32:31.9345876Z              16 BUILD_TUPLE              2
2022-11-23T01:32:31.9345952Z              18 RETURN_VALUE
2022-11-23T01:32:31.9346019Z  
2022-11-23T01:32:31.9346024Z 
2022-11-23T01:32:31.9346335Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:795
2022-11-23T01:32:31.9346549Z [2022-11-23 01:30:10,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:31.9346794Z [2022-11-23 01:30:10,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable()]
2022-11-23T01:32:31.9347068Z [2022-11-23 01:30:10,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:31.9347380Z [2022-11-23 01:30:10,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:31.9347615Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:31.9347918Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9348220Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:31.9348574Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:31.9348840Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9349085Z [2022-11-23 01:30:10,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9349452Z [2022-11-23 01:30:10,326] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 794>
2022-11-23T01:32:31.9349696Z [2022-11-23 01:30:10,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9349930Z [2022-11-23 01:30:10,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9350186Z [2022-11-23 01:30:10,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9350545Z [2022-11-23 01:30:10,329] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9350748Z [2022-11-23 01:30:10,329] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9350891Z  __compiled_fn_659 <eval_with_key>.4077 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9350980Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9351127Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:31.9351273Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:31.9351387Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:31.9351393Z 
2022-11-23T01:32:31.9351717Z [2022-11-23 01:30:10,329] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9351825Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9351921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9352007Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9352106Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9352197Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9352291Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9352372Z              12 RETURN_VALUE
2022-11-23T01:32:31.9352377Z 
2022-11-23T01:32:31.9352442Z  
2022-11-23T01:32:31.9352755Z [2022-11-23 01:30:10,329] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9352870Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_659)
2022-11-23T01:32:31.9352962Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9353056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9353141Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9353235Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9353346Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9353458Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9353551Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9353626Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9353738Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9353832Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9353913Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9354005Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9354086Z              26 RETURN_VALUE
2022-11-23T01:32:31.9354091Z 
2022-11-23T01:32:31.9354156Z  
2022-11-23T01:32:31.9354377Z [2022-11-23 01:30:10,330] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9354478Z  - 
2022-11-23T01:32:31.9354604Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9354672Z             {
2022-11-23T01:32:31.9354818Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9355009Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9355133Z                 'obj_weakref': None
2022-11-23T01:32:31.9355356Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9355419Z             }
2022-11-23T01:32:31.9355486Z             
2022-11-23T01:32:31.9355561Z  - 
2022-11-23T01:32:31.9355690Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9355757Z             {
2022-11-23T01:32:31.9355903Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9356008Z                 'code': None,
2022-11-23T01:32:31.9356223Z                 'obj_weakref': <weakref at 0x7f1fe812de90; to 'Tensor' at 0x7f2115e27560>
2022-11-23T01:32:31.9356469Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9356539Z             }
2022-11-23T01:32:31.9356607Z             
2022-11-23T01:32:31.9356683Z  - 
2022-11-23T01:32:31.9356816Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9356878Z             {
2022-11-23T01:32:31.9357017Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9357191Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9357313Z                 'obj_weakref': None
2022-11-23T01:32:31.9357545Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9357615Z             }
2022-11-23T01:32:31.9357683Z             
2022-11-23T01:32:31.9357751Z  - 
2022-11-23T01:32:31.9357874Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9357943Z             {
2022-11-23T01:32:31.9358089Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9358307Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9358429Z                 'obj_weakref': None
2022-11-23T01:32:31.9358650Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9358718Z             }
2022-11-23T01:32:31.9358779Z             
2022-11-23T01:32:31.9359040Z [2022-11-23 01:30:10,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 642
2022-11-23T01:32:31.9359286Z [2022-11-23 01:30:10,338] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9359527Z [2022-11-23 01:30:10,339] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9359884Z [2022-11-23 01:30:10,344] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wm/cwmvw4bdctk2pzc6c32jjxa5wgjtj2tq6owztdr3unchfu2ftlqk.py
2022-11-23T01:32:31.9360147Z [2022-11-23 01:30:10,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 642
2022-11-23T01:32:31.9360155Z 
2022-11-23T01:32:31.9360253Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9360327Z import torch
2022-11-23T01:32:31.9360395Z import random
2022-11-23T01:32:31.9360519Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9360646Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9360652Z 
2022-11-23T01:32:31.9360736Z aten = torch.ops.aten
2022-11-23T01:32:31.9360876Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9360975Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9360980Z 
2022-11-23T01:32:31.9361054Z import triton
2022-11-23T01:32:31.9361145Z import triton.language as tl
2022-11-23T01:32:31.9361266Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9361440Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9361446Z 
2022-11-23T01:32:31.9361470Z 
2022-11-23T01:32:31.9361631Z triton_fused_argmax0 = async_compile.triton('''
2022-11-23T01:32:31.9361706Z import triton
2022-11-23T01:32:31.9361799Z import triton.language as tl
2022-11-23T01:32:31.9361914Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9362017Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9362146Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9362272Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9362278Z 
2022-11-23T01:32:31.9362632Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9362706Z @triton.jit
2022-11-23T01:32:31.9362830Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9362904Z     xnumel = 16
2022-11-23T01:32:31.9363006Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9363137Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9363218Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9363290Z     x0 = xindex
2022-11-23T01:32:31.9363422Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), 0, xmask)
2022-11-23T01:32:31.9363507Z ''')
2022-11-23T01:32:31.9363513Z 
2022-11-23T01:32:31.9363517Z 
2022-11-23T01:32:31.9363610Z async_compile.wait(globals())
2022-11-23T01:32:31.9363688Z del async_compile
2022-11-23T01:32:31.9363693Z 
2022-11-23T01:32:31.9363768Z def call(args):
2022-11-23T01:32:31.9363843Z     arg0_1, = args
2022-11-23T01:32:31.9363913Z     args.clear()
2022-11-23T01:32:31.9364106Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9364196Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9364333Z     triton_fused_argmax0.run(buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.9364526Z     buf1 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9364663Z     triton_fused_argmax0.run(buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.9364745Z     return (buf0, buf1, )
2022-11-23T01:32:31.9364751Z 
2022-11-23T01:32:31.9364755Z 
2022-11-23T01:32:31.9364830Z if __name__ == "__main__":
2022-11-23T01:32:31.9364950Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9365081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9365285Z     arg0_1 = rand_strided((4, 4, 1), (4, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9365397Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9365402Z 
2022-11-23T01:32:31.9365406Z 
2022-11-23T01:32:31.9365505Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9365583Z import torch
2022-11-23T01:32:31.9365659Z import random
2022-11-23T01:32:31.9365773Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9365900Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9365905Z 
2022-11-23T01:32:31.9365990Z aten = torch.ops.aten
2022-11-23T01:32:31.9366129Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9366225Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9366230Z 
2022-11-23T01:32:31.9366305Z import triton
2022-11-23T01:32:31.9366400Z import triton.language as tl
2022-11-23T01:32:31.9366527Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9366662Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9366667Z 
2022-11-23T01:32:31.9366672Z 
2022-11-23T01:32:31.9366830Z triton_fused_argmax0 = async_compile.triton('''
2022-11-23T01:32:31.9366904Z import triton
2022-11-23T01:32:31.9366997Z import triton.language as tl
2022-11-23T01:32:31.9367115Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9367219Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9367352Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9367501Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9367532Z 
2022-11-23T01:32:31.9367879Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9367952Z @triton.jit
2022-11-23T01:32:31.9368078Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9368151Z     xnumel = 16
2022-11-23T01:32:31.9368250Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9368380Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9368466Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9368532Z     x0 = xindex
2022-11-23T01:32:31.9368662Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), 0, xmask)
2022-11-23T01:32:31.9368747Z ''')
2022-11-23T01:32:31.9368753Z 
2022-11-23T01:32:31.9368757Z 
2022-11-23T01:32:31.9368852Z async_compile.wait(globals())
2022-11-23T01:32:31.9368930Z del async_compile
2022-11-23T01:32:31.9368938Z 
2022-11-23T01:32:31.9369013Z def call(args):
2022-11-23T01:32:31.9369086Z     arg0_1, = args
2022-11-23T01:32:31.9369162Z     args.clear()
2022-11-23T01:32:31.9369346Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9369442Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9369576Z     triton_fused_argmax0.run(buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.9369767Z     buf1 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:31.9369901Z     triton_fused_argmax0.run(buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:31.9369986Z     return (buf0, buf1, )
2022-11-23T01:32:31.9369991Z 
2022-11-23T01:32:31.9369996Z 
2022-11-23T01:32:31.9370074Z if __name__ == "__main__":
2022-11-23T01:32:31.9370186Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9370314Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9370523Z     arg0_1 = rand_strided((4, 4, 1), (4, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9370638Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9370643Z 
2022-11-23T01:32:31.9370715Z ok (0.358s)
2022-11-23T01:32:31.9371051Z   test_reflection_pad2d_backward_cuda (__main__.CudaTests) ... [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9371364Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9371584Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9371838Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9372113Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9372433Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9372782Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9373105Z [2022-11-23 01:30:10,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9373478Z [2022-11-23 01:30:10,349] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9373578Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9373711Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9373847Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9373965Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9374064Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9374159Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9374240Z               12 RETURN_VALUE
2022-11-23T01:32:31.9374304Z  
2022-11-23T01:32:31.9374309Z 
2022-11-23T01:32:31.9374620Z [2022-11-23 01:30:10,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9374842Z [2022-11-23 01:30:10,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9375176Z [2022-11-23 01:30:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9375472Z [2022-11-23 01:30:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9375779Z [2022-11-23 01:30:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9376124Z [2022-11-23 01:30:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9376480Z [2022-11-23 01:30:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9376728Z [2022-11-23 01:30:10,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9377096Z [2022-11-23 01:30:10,356] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9377344Z [2022-11-23 01:30:10,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9377581Z [2022-11-23 01:30:10,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9377835Z [2022-11-23 01:30:10,357] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9378081Z [2022-11-23 01:30:10,360] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9378272Z [2022-11-23 01:30:10,360] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9378410Z  __compiled_fn_660 <eval_with_key>.4083 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9378497Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9378589Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9378768Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T01:32:31.9379017Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9379027Z 
2022-11-23T01:32:31.9379351Z [2022-11-23 01:30:10,360] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9379453Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9379548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9379643Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9379736Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9379828Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9379922Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9380004Z              12 RETURN_VALUE
2022-11-23T01:32:31.9380009Z 
2022-11-23T01:32:31.9380075Z  
2022-11-23T01:32:31.9380432Z [2022-11-23 01:30:10,360] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9380551Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_660)
2022-11-23T01:32:31.9380675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9380765Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9380846Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9380944Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9381037Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9381118Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9381211Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9381323Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9381455Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9381560Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9381652Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9381758Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9381867Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9381967Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9382048Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9382145Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9382244Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9382340Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9382421Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9382528Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9382626Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9382743Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9382846Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9382938Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9383051Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9383133Z              52 RETURN_VALUE
2022-11-23T01:32:31.9383141Z 
2022-11-23T01:32:31.9383206Z  
2022-11-23T01:32:31.9383398Z [2022-11-23 01:30:10,362] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9383473Z  - 
2022-11-23T01:32:31.9383595Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9383657Z             {
2022-11-23T01:32:31.9383803Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9383991Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9384114Z                 'obj_weakref': None
2022-11-23T01:32:31.9384338Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9384407Z             }
2022-11-23T01:32:31.9384475Z             
2022-11-23T01:32:31.9384543Z  - 
2022-11-23T01:32:31.9384672Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9384740Z             {
2022-11-23T01:32:31.9384889Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9384999Z                 'code': None,
2022-11-23T01:32:31.9385216Z                 'obj_weakref': <weakref at 0x7f1fd8138db0; to 'Tensor' at 0x7f1fe812c400>
2022-11-23T01:32:31.9385467Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9385529Z             }
2022-11-23T01:32:31.9385596Z             
2022-11-23T01:32:31.9385670Z  - 
2022-11-23T01:32:31.9385797Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9385868Z             {
2022-11-23T01:32:31.9386018Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9386130Z                 'code': None,
2022-11-23T01:32:31.9386338Z                 'obj_weakref': <weakref at 0x7f1fd813b790; to 'Tensor' at 0x7f1fe812f920>
2022-11-23T01:32:31.9386586Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9386655Z             }
2022-11-23T01:32:31.9386752Z             
2022-11-23T01:32:31.9386847Z  - 
2022-11-23T01:32:31.9386983Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9387051Z             {
2022-11-23T01:32:31.9387185Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9387358Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9387480Z                 'obj_weakref': None
2022-11-23T01:32:31.9387709Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9387779Z             }
2022-11-23T01:32:31.9387847Z             
2022-11-23T01:32:31.9387920Z  - 
2022-11-23T01:32:31.9388038Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9388106Z             {
2022-11-23T01:32:31.9388245Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9388464Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9388586Z                 'obj_weakref': None
2022-11-23T01:32:31.9388808Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9388880Z             }
2022-11-23T01:32:31.9388941Z             
2022-11-23T01:32:31.9389017Z  - 
2022-11-23T01:32:31.9389197Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9389268Z             {
2022-11-23T01:32:31.9389437Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9390131Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T01:32:31.9390338Z                 'obj_weakref': None
2022-11-23T01:32:31.9390588Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9390658Z             }
2022-11-23T01:32:31.9390721Z             
2022-11-23T01:32:31.9390796Z  - 
2022-11-23T01:32:31.9390984Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9391054Z             {
2022-11-23T01:32:31.9391199Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9391481Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T01:32:31.9391605Z                 'obj_weakref': None
2022-11-23T01:32:31.9391817Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9391886Z             }
2022-11-23T01:32:31.9391955Z             
2022-11-23T01:32:31.9392031Z  - 
2022-11-23T01:32:31.9392221Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9392292Z             {
2022-11-23T01:32:31.9392436Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9392708Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T01:32:31.9392850Z                 'obj_weakref': None
2022-11-23T01:32:31.9393096Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9393164Z             }
2022-11-23T01:32:31.9393232Z             
2022-11-23T01:32:31.9393305Z  - 
2022-11-23T01:32:31.9393493Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9393555Z             {
2022-11-23T01:32:31.9393701Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9394009Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T01:32:31.9394152Z                 'obj_weakref': None
2022-11-23T01:32:31.9394369Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9394438Z             }
2022-11-23T01:32:31.9394504Z             
2022-11-23T01:32:31.9394572Z  - 
2022-11-23T01:32:31.9394761Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9394829Z             {
2022-11-23T01:32:31.9394975Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9395253Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T01:32:31.9395374Z                 'obj_weakref': None
2022-11-23T01:32:31.9395591Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9395660Z             }
2022-11-23T01:32:31.9395724Z             
2022-11-23T01:32:31.9395801Z  - 
2022-11-23T01:32:31.9395936Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9396004Z             {
2022-11-23T01:32:31.9396130Z                 'guard_types': None,
2022-11-23T01:32:31.9396240Z                 'code': None,
2022-11-23T01:32:31.9396359Z                 'obj_weakref': None
2022-11-23T01:32:31.9396477Z                 'guarded_class': None
2022-11-23T01:32:31.9396545Z             }
2022-11-23T01:32:31.9396613Z             
2022-11-23T01:32:31.9396875Z [2022-11-23 01:30:10,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 643
2022-11-23T01:32:31.9397125Z [2022-11-23 01:30:10,373] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9397486Z [2022-11-23 01:30:10,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6s2pvwawta3xwhk5u53xejy7pyhqsnshhgoprozka7harlrgnu.py
2022-11-23T01:32:31.9397754Z [2022-11-23 01:30:10,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 643
2022-11-23T01:32:31.9397993Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9398295Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9398514Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9398765Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9399038Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9399353Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9399693Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9400018Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9400391Z [2022-11-23 01:30:10,442] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9400493Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9400620Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9400722Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9400819Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9400923Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9401046Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9401159Z               12 RETURN_VALUE
2022-11-23T01:32:31.9401225Z  
2022-11-23T01:32:31.9401231Z 
2022-11-23T01:32:31.9401544Z [2022-11-23 01:30:10,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9401754Z [2022-11-23 01:30:10,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9402086Z [2022-11-23 01:30:10,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9402382Z [2022-11-23 01:30:10,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9402695Z [2022-11-23 01:30:10,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9403041Z [2022-11-23 01:30:10,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9403405Z [2022-11-23 01:30:10,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9403651Z [2022-11-23 01:30:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9404017Z [2022-11-23 01:30:10,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9404261Z [2022-11-23 01:30:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9404497Z [2022-11-23 01:30:10,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9404753Z [2022-11-23 01:30:10,451] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9404995Z [2022-11-23 01:30:10,453] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9405187Z [2022-11-23 01:30:10,453] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9405332Z  __compiled_fn_661 <eval_with_key>.4089 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9405427Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9405519Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9405699Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T01:32:31.9405830Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9405836Z 
2022-11-23T01:32:31.9406159Z [2022-11-23 01:30:10,454] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9406260Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9406351Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9406445Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9406544Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9406634Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9406728Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9406809Z              12 RETURN_VALUE
2022-11-23T01:32:31.9406815Z 
2022-11-23T01:32:31.9406879Z  
2022-11-23T01:32:31.9407188Z [2022-11-23 01:30:10,454] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9407306Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_661)
2022-11-23T01:32:31.9407402Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9407525Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9407628Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9407722Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9407814Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9407889Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9407981Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9408095Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9408230Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9408334Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9408426Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9408526Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9408633Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9408722Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9408805Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9408906Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9409012Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9409109Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9409188Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9409296Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9409387Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9409491Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9409586Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9409667Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9409777Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9409857Z              52 RETURN_VALUE
2022-11-23T01:32:31.9409863Z 
2022-11-23T01:32:31.9409927Z  
2022-11-23T01:32:31.9410111Z [2022-11-23 01:30:10,455] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9410186Z  - 
2022-11-23T01:32:31.9410312Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9410380Z             {
2022-11-23T01:32:31.9410522Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9410711Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9410834Z                 'obj_weakref': None
2022-11-23T01:32:31.9411051Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9411120Z             }
2022-11-23T01:32:31.9411188Z             
2022-11-23T01:32:31.9411265Z  - 
2022-11-23T01:32:31.9411395Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9411463Z             {
2022-11-23T01:32:31.9411609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9411714Z                 'code': None,
2022-11-23T01:32:31.9411926Z                 'obj_weakref': <weakref at 0x7f2115a78f40; to 'Tensor' at 0x7f1ff81c0720>
2022-11-23T01:32:31.9412177Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9412248Z             }
2022-11-23T01:32:31.9412316Z             
2022-11-23T01:32:31.9412391Z  - 
2022-11-23T01:32:31.9412518Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9412580Z             {
2022-11-23T01:32:31.9412725Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9412836Z                 'code': None,
2022-11-23T01:32:31.9413046Z                 'obj_weakref': <weakref at 0x7f1fe812de90; to 'Tensor' at 0x7f1fd97bb060>
2022-11-23T01:32:31.9413296Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9413365Z             }
2022-11-23T01:32:31.9413432Z             
2022-11-23T01:32:31.9413500Z  - 
2022-11-23T01:32:31.9413633Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9413702Z             {
2022-11-23T01:32:31.9413896Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9414087Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9414212Z                 'obj_weakref': None
2022-11-23T01:32:31.9414437Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9414499Z             }
2022-11-23T01:32:31.9414567Z             
2022-11-23T01:32:31.9414642Z  - 
2022-11-23T01:32:31.9414764Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9414833Z             {
2022-11-23T01:32:31.9414972Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9415191Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9415307Z                 'obj_weakref': None
2022-11-23T01:32:31.9415528Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9415596Z             }
2022-11-23T01:32:31.9415666Z             
2022-11-23T01:32:31.9415743Z  - 
2022-11-23T01:32:31.9415928Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9415996Z             {
2022-11-23T01:32:31.9416160Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9416848Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T01:32:31.9416970Z                 'obj_weakref': None
2022-11-23T01:32:31.9417185Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9417256Z             }
2022-11-23T01:32:31.9417323Z             
2022-11-23T01:32:31.9417399Z  - 
2022-11-23T01:32:31.9417586Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9417654Z             {
2022-11-23T01:32:31.9417794Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9418071Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T01:32:31.9418192Z                 'obj_weakref': None
2022-11-23T01:32:31.9418410Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9418479Z             }
2022-11-23T01:32:31.9418548Z             
2022-11-23T01:32:31.9418623Z  - 
2022-11-23T01:32:31.9418913Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9418982Z             {
2022-11-23T01:32:31.9419131Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9419410Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T01:32:31.9419537Z                 'obj_weakref': None
2022-11-23T01:32:31.9419754Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9419824Z             }
2022-11-23T01:32:31.9419892Z             
2022-11-23T01:32:31.9419960Z  - 
2022-11-23T01:32:31.9420148Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9420217Z             {
2022-11-23T01:32:31.9420362Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9420639Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T01:32:31.9420761Z                 'obj_weakref': None
2022-11-23T01:32:31.9421021Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9421107Z             }
2022-11-23T01:32:31.9421177Z             
2022-11-23T01:32:31.9421252Z  - 
2022-11-23T01:32:31.9421437Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9421506Z             {
2022-11-23T01:32:31.9421649Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9421922Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T01:32:31.9422037Z                 'obj_weakref': None
2022-11-23T01:32:31.9422277Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9422348Z             }
2022-11-23T01:32:31.9422435Z             
2022-11-23T01:32:31.9422515Z  - 
2022-11-23T01:32:31.9422650Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9422719Z             {
2022-11-23T01:32:31.9422838Z                 'guard_types': None,
2022-11-23T01:32:31.9422951Z                 'code': None,
2022-11-23T01:32:31.9423072Z                 'obj_weakref': None
2022-11-23T01:32:31.9423196Z                 'guarded_class': None
2022-11-23T01:32:31.9423265Z             }
2022-11-23T01:32:31.9423335Z             
2022-11-23T01:32:31.9423595Z [2022-11-23 01:30:10,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 644
2022-11-23T01:32:31.9423836Z [2022-11-23 01:30:10,464] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9424194Z [2022-11-23 01:30:10,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fc/cfcgclj4nhh2srg73masyyowmxjoqs4wa7bm3p2a3xtyj76q3ktj.py
2022-11-23T01:32:31.9424460Z [2022-11-23 01:30:10,529] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 644
2022-11-23T01:32:31.9424698Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9425013Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9425234Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9425485Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9425756Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9426068Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9426405Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9426724Z [2022-11-23 01:30:10,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9427099Z [2022-11-23 01:30:10,533] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9427202Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9427330Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9427438Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9427535Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9427640Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9427736Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9427810Z               12 RETURN_VALUE
2022-11-23T01:32:31.9427876Z  
2022-11-23T01:32:31.9427882Z 
2022-11-23T01:32:31.9428227Z [2022-11-23 01:30:10,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9428467Z [2022-11-23 01:30:10,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9428807Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9429107Z [2022-11-23 01:30:10,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9429416Z [2022-11-23 01:30:10,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9429766Z [2022-11-23 01:30:10,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9430131Z [2022-11-23 01:30:10,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9430465Z [2022-11-23 01:30:10,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9430831Z [2022-11-23 01:30:10,540] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9431077Z [2022-11-23 01:30:10,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9431311Z [2022-11-23 01:30:10,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9431567Z [2022-11-23 01:30:10,541] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9431820Z [2022-11-23 01:30:10,543] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9432017Z [2022-11-23 01:30:10,543] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9432158Z  __compiled_fn_662 <eval_with_key>.4095 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9432251Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9432345Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9432516Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T01:32:31.9432655Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9432662Z 
2022-11-23T01:32:31.9433024Z [2022-11-23 01:30:10,544] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9433124Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9433224Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9433317Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9433420Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9433509Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9433597Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9433677Z              12 RETURN_VALUE
2022-11-23T01:32:31.9433682Z 
2022-11-23T01:32:31.9433747Z  
2022-11-23T01:32:31.9434060Z [2022-11-23 01:30:10,544] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9434177Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_662)
2022-11-23T01:32:31.9434273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9434372Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9434453Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9434541Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9434662Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9434762Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9434854Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9434964Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9435100Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9435201Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9435288Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9435389Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9435501Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9435596Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9435676Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9435773Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9435880Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9435971Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9436053Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9436163Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9436258Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9436361Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9436454Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9436535Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9436635Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9436714Z              52 RETURN_VALUE
2022-11-23T01:32:31.9436719Z 
2022-11-23T01:32:31.9436783Z  
2022-11-23T01:32:31.9436971Z [2022-11-23 01:30:10,545] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9437047Z  - 
2022-11-23T01:32:31.9437169Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9437239Z             {
2022-11-23T01:32:31.9437379Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9437564Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9437690Z                 'obj_weakref': None
2022-11-23T01:32:31.9437911Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9437979Z             }
2022-11-23T01:32:31.9438047Z             
2022-11-23T01:32:31.9438123Z  - 
2022-11-23T01:32:31.9438244Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9438310Z             {
2022-11-23T01:32:31.9438454Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9438564Z                 'code': None,
2022-11-23T01:32:31.9438775Z                 'obj_weakref': <weakref at 0x7f1ffad86890; to 'Tensor' at 0x7f1fd9aab6a0>
2022-11-23T01:32:31.9439024Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9439093Z             }
2022-11-23T01:32:31.9439163Z             
2022-11-23T01:32:31.9439230Z  - 
2022-11-23T01:32:31.9439360Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9439427Z             {
2022-11-23T01:32:31.9439572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9439682Z                 'code': None,
2022-11-23T01:32:31.9439892Z                 'obj_weakref': <weakref at 0x7f1ffad840e0; to 'Tensor' at 0x7f20726998a0>
2022-11-23T01:32:31.9440137Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9440200Z             }
2022-11-23T01:32:31.9440266Z             
2022-11-23T01:32:31.9440338Z  - 
2022-11-23T01:32:31.9440471Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9440538Z             {
2022-11-23T01:32:31.9440677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9440849Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9440964Z                 'obj_weakref': None
2022-11-23T01:32:31.9441220Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9441308Z             }
2022-11-23T01:32:31.9441375Z             
2022-11-23T01:32:31.9441451Z  - 
2022-11-23T01:32:31.9441574Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9441635Z             {
2022-11-23T01:32:31.9441773Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9441989Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9442109Z                 'obj_weakref': None
2022-11-23T01:32:31.9442329Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9442397Z             }
2022-11-23T01:32:31.9442463Z             
2022-11-23T01:32:31.9442537Z  - 
2022-11-23T01:32:31.9442710Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9442781Z             {
2022-11-23T01:32:31.9442953Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9443642Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T01:32:31.9443765Z                 'obj_weakref': None
2022-11-23T01:32:31.9443983Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9444051Z             }
2022-11-23T01:32:31.9444117Z             
2022-11-23T01:32:31.9444185Z  - 
2022-11-23T01:32:31.9444373Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9444443Z             {
2022-11-23T01:32:31.9444589Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9444864Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:31.9444986Z                 'obj_weakref': None
2022-11-23T01:32:31.9445201Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9445269Z             }
2022-11-23T01:32:31.9445330Z             
2022-11-23T01:32:31.9445403Z  - 
2022-11-23T01:32:31.9445588Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9445656Z             {
2022-11-23T01:32:31.9445800Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9446077Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:31.9446201Z                 'obj_weakref': None
2022-11-23T01:32:31.9446413Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9446479Z             }
2022-11-23T01:32:31.9446545Z             
2022-11-23T01:32:31.9446617Z  - 
2022-11-23T01:32:31.9446800Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9446867Z             {
2022-11-23T01:32:31.9447011Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9447279Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:31.9447400Z                 'obj_weakref': None
2022-11-23T01:32:31.9447615Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9447685Z             }
2022-11-23T01:32:31.9447752Z             
2022-11-23T01:32:31.9447826Z  - 
2022-11-23T01:32:31.9448039Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9448130Z             {
2022-11-23T01:32:31.9448275Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9448549Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:31.9448669Z                 'obj_weakref': None
2022-11-23T01:32:31.9448883Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9448951Z             }
2022-11-23T01:32:31.9449018Z             
2022-11-23T01:32:31.9449085Z  - 
2022-11-23T01:32:31.9449220Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9449287Z             {
2022-11-23T01:32:31.9449409Z                 'guard_types': None,
2022-11-23T01:32:31.9449520Z                 'code': None,
2022-11-23T01:32:31.9449640Z                 'obj_weakref': None
2022-11-23T01:32:31.9449766Z                 'guarded_class': None
2022-11-23T01:32:31.9449827Z             }
2022-11-23T01:32:31.9449897Z             
2022-11-23T01:32:31.9450155Z [2022-11-23 01:30:10,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 645
2022-11-23T01:32:31.9450401Z [2022-11-23 01:30:10,594] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9450407Z 
2022-11-23T01:32:31.9450504Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9450577Z import torch
2022-11-23T01:32:31.9450649Z import random
2022-11-23T01:32:31.9450764Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9450888Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9450894Z 
2022-11-23T01:32:31.9450976Z aten = torch.ops.aten
2022-11-23T01:32:31.9451114Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9451210Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9451215Z 
2022-11-23T01:32:31.9451288Z import triton
2022-11-23T01:32:31.9451384Z import triton.language as tl
2022-11-23T01:32:31.9451512Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9451648Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9451654Z 
2022-11-23T01:32:31.9451665Z 
2022-11-23T01:32:31.9451853Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9451926Z import triton
2022-11-23T01:32:31.9452020Z import triton.language as tl
2022-11-23T01:32:31.9452132Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9452234Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9452368Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9452494Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9452499Z 
2022-11-23T01:32:31.9452871Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9452948Z @triton.jit
2022-11-23T01:32:31.9453084Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9453158Z     xnumel = 64
2022-11-23T01:32:31.9453255Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9453385Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9453468Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9453549Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9453617Z     x0 = xindex % 8
2022-11-23T01:32:31.9453688Z     x2 = xindex
2022-11-23T01:32:31.9453759Z     tmp0 = x1
2022-11-23T01:32:31.9453829Z     tmp1 = x0
2022-11-23T01:32:31.9453974Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (8*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.9454108Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.9454187Z ''')
2022-11-23T01:32:31.9454199Z 
2022-11-23T01:32:31.9454204Z 
2022-11-23T01:32:31.9454328Z async_compile.wait(globals())
2022-11-23T01:32:31.9454406Z del async_compile
2022-11-23T01:32:31.9454431Z 
2022-11-23T01:32:31.9454507Z def call(args):
2022-11-23T01:32:31.9454586Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9454661Z     args.clear()
2022-11-23T01:32:31.9454873Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9454963Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9455122Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9455194Z     del arg0_1
2022-11-23T01:32:31.9455269Z     return (buf0, )
2022-11-23T01:32:31.9455275Z 
2022-11-23T01:32:31.9455280Z 
2022-11-23T01:32:31.9455358Z if __name__ == "__main__":
2022-11-23T01:32:31.9455476Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9455603Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9455821Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9456030Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9456145Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9456161Z 
2022-11-23T01:32:31.9456166Z 
2022-11-23T01:32:31.9456256Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9456329Z import torch
2022-11-23T01:32:31.9456403Z import random
2022-11-23T01:32:31.9456523Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9456644Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9456649Z 
2022-11-23T01:32:31.9456729Z aten = torch.ops.aten
2022-11-23T01:32:31.9456865Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9456956Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9456961Z 
2022-11-23T01:32:31.9457033Z import triton
2022-11-23T01:32:31.9457124Z import triton.language as tl
2022-11-23T01:32:31.9457250Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9457391Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9457400Z 
2022-11-23T01:32:31.9457404Z 
2022-11-23T01:32:31.9457596Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9457669Z import triton
2022-11-23T01:32:31.9457761Z import triton.language as tl
2022-11-23T01:32:31.9457867Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9457969Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9458102Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9458226Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9458231Z 
2022-11-23T01:32:31.9458593Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9458668Z @triton.jit
2022-11-23T01:32:31.9458934Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9459012Z     xnumel = 64
2022-11-23T01:32:31.9459103Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9459233Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9459315Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9459395Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9459469Z     x0 = xindex % 8
2022-11-23T01:32:31.9459540Z     x2 = xindex
2022-11-23T01:32:31.9459608Z     tmp0 = x1
2022-11-23T01:32:31.9459672Z     tmp1 = x0
2022-11-23T01:32:31.9459832Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (8*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.9459964Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:31.9460053Z ''')
2022-11-23T01:32:31.9460059Z 
2022-11-23T01:32:31.9460063Z 
2022-11-23T01:32:31.9460156Z async_compile.wait(globals())
2022-11-23T01:32:31.9460232Z del async_compile
2022-11-23T01:32:31.9460237Z 
2022-11-23T01:32:31.9460352Z def call(args):
2022-11-23T01:32:31.9460450Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9460526Z     args.clear()
2022-11-23T01:32:31.9460741Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9460833Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9460995Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9461066Z     del arg0_1
2022-11-23T01:32:31.9461141Z     return (buf0, )
2022-11-23T01:32:31.9461146Z 
2022-11-23T01:32:31.9461151Z 
2022-11-23T01:32:31.9461231Z if __name__ == "__main__":
2022-11-23T01:32:31.9461343Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9461472Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9461683Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9461893Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9462014Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9462019Z 
2022-11-23T01:32:31.9462380Z [2022-11-23 01:30:10,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/cajdpil5mtdg4mivtubpmnw2v2qqtxs4mvve642zq25xvggcoego.py
2022-11-23T01:32:31.9462649Z [2022-11-23 01:30:10,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 645
2022-11-23T01:32:31.9462887Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9463194Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9463403Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9463656Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9463933Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9464246Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9464582Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9464897Z [2022-11-23 01:30:10,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9465264Z [2022-11-23 01:30:10,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9465367Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9465495Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9465601Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9465691Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9465794Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9465889Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9465968Z               12 RETURN_VALUE
2022-11-23T01:32:31.9466034Z  
2022-11-23T01:32:31.9466039Z 
2022-11-23T01:32:31.9466350Z [2022-11-23 01:30:10,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9466567Z [2022-11-23 01:30:10,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9466930Z [2022-11-23 01:30:10,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9467239Z [2022-11-23 01:30:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9467545Z [2022-11-23 01:30:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9467891Z [2022-11-23 01:30:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9468252Z [2022-11-23 01:30:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9468496Z [2022-11-23 01:30:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9468865Z [2022-11-23 01:30:10,731] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9469111Z [2022-11-23 01:30:10,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9469342Z [2022-11-23 01:30:10,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9469594Z [2022-11-23 01:30:10,732] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9469843Z [2022-11-23 01:30:10,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9470026Z [2022-11-23 01:30:10,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9470166Z  __compiled_fn_663 <eval_with_key>.4101 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9470318Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9470430Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9470627Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T01:32:31.9470784Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9470790Z 
2022-11-23T01:32:31.9471112Z [2022-11-23 01:30:10,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9471213Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9471309Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9471395Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9471496Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9471585Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9471678Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9471758Z              12 RETURN_VALUE
2022-11-23T01:32:31.9471764Z 
2022-11-23T01:32:31.9471829Z  
2022-11-23T01:32:31.9472144Z [2022-11-23 01:30:10,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9472256Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_663)
2022-11-23T01:32:31.9472351Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9472445Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9472527Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9472620Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9472714Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9472795Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9472880Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9472990Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9473126Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9473256Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9473367Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9473468Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9473574Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9473670Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9473744Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9473841Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9473947Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9474046Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9474127Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9474234Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9474331Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9474427Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9474520Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9474604Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9474713Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9474792Z              52 RETURN_VALUE
2022-11-23T01:32:31.9474797Z 
2022-11-23T01:32:31.9474860Z  
2022-11-23T01:32:31.9475046Z [2022-11-23 01:30:10,736] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9475115Z  - 
2022-11-23T01:32:31.9475236Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9475304Z             {
2022-11-23T01:32:31.9475447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9475637Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9475761Z                 'obj_weakref': None
2022-11-23T01:32:31.9475982Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9476044Z             }
2022-11-23T01:32:31.9476113Z             
2022-11-23T01:32:31.9476189Z  - 
2022-11-23T01:32:31.9476314Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9476385Z             {
2022-11-23T01:32:31.9476529Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9476639Z                 'code': None,
2022-11-23T01:32:31.9476844Z                 'obj_weakref': <weakref at 0x7f1fd8c98f40; to 'Tensor' at 0x7f2023095a30>
2022-11-23T01:32:31.9477089Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9477156Z             }
2022-11-23T01:32:31.9477222Z             
2022-11-23T01:32:31.9477296Z  - 
2022-11-23T01:32:31.9477422Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9477490Z             {
2022-11-23T01:32:31.9477629Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9477741Z                 'code': None,
2022-11-23T01:32:31.9477947Z                 'obj_weakref': <weakref at 0x7f1ffad86750; to 'Tensor' at 0x7f20680bc0e0>
2022-11-23T01:32:31.9478199Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9478269Z             }
2022-11-23T01:32:31.9478337Z             
2022-11-23T01:32:31.9478410Z  - 
2022-11-23T01:32:31.9478536Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9478604Z             {
2022-11-23T01:32:31.9478743Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9478914Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9479036Z                 'obj_weakref': None
2022-11-23T01:32:31.9479263Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9479331Z             }
2022-11-23T01:32:31.9479392Z             
2022-11-23T01:32:31.9479466Z  - 
2022-11-23T01:32:31.9479590Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9479660Z             {
2022-11-23T01:32:31.9479798Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9480044Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9480184Z                 'obj_weakref': None
2022-11-23T01:32:31.9480397Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9480468Z             }
2022-11-23T01:32:31.9480535Z             
2022-11-23T01:32:31.9480609Z  - 
2022-11-23T01:32:31.9480789Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9480857Z             {
2022-11-23T01:32:31.9481027Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9481721Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T01:32:31.9481845Z                 'obj_weakref': None
2022-11-23T01:32:31.9482054Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9482123Z             }
2022-11-23T01:32:31.9482188Z             
2022-11-23T01:32:31.9482262Z  - 
2022-11-23T01:32:31.9482450Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9482517Z             {
2022-11-23T01:32:31.9482664Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9482933Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:31.9483054Z                 'obj_weakref': None
2022-11-23T01:32:31.9483273Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9483343Z             }
2022-11-23T01:32:31.9483410Z             
2022-11-23T01:32:31.9483485Z  - 
2022-11-23T01:32:31.9483669Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9483730Z             {
2022-11-23T01:32:31.9483875Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9484149Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:31.9484270Z                 'obj_weakref': None
2022-11-23T01:32:31.9484482Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9484549Z             }
2022-11-23T01:32:31.9484615Z             
2022-11-23T01:32:31.9484682Z  - 
2022-11-23T01:32:31.9484866Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9484935Z             {
2022-11-23T01:32:31.9485081Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9485357Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:31.9485477Z                 'obj_weakref': None
2022-11-23T01:32:31.9485691Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9485759Z             }
2022-11-23T01:32:31.9485820Z             
2022-11-23T01:32:31.9485892Z  - 
2022-11-23T01:32:31.9486073Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9486142Z             {
2022-11-23T01:32:31.9486286Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9486559Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:31.9486680Z                 'obj_weakref': None
2022-11-23T01:32:31.9486919Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9487007Z             }
2022-11-23T01:32:31.9487076Z             
2022-11-23T01:32:31.9487149Z  - 
2022-11-23T01:32:31.9487283Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9487350Z             {
2022-11-23T01:32:31.9487474Z                 'guard_types': None,
2022-11-23T01:32:31.9487577Z                 'code': None,
2022-11-23T01:32:31.9487695Z                 'obj_weakref': None
2022-11-23T01:32:31.9487817Z                 'guarded_class': None
2022-11-23T01:32:31.9487885Z             }
2022-11-23T01:32:31.9487953Z             
2022-11-23T01:32:31.9488210Z [2022-11-23 01:30:10,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 646
2022-11-23T01:32:31.9488456Z [2022-11-23 01:30:10,773] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9488463Z 
2022-11-23T01:32:31.9488558Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9488634Z import torch
2022-11-23T01:32:31.9488705Z import random
2022-11-23T01:32:31.9488827Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9488952Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9488957Z 
2022-11-23T01:32:31.9489042Z aten = torch.ops.aten
2022-11-23T01:32:31.9489181Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9489276Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9489282Z 
2022-11-23T01:32:31.9489349Z import triton
2022-11-23T01:32:31.9489442Z import triton.language as tl
2022-11-23T01:32:31.9489567Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9489706Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9489712Z 
2022-11-23T01:32:31.9489717Z 
2022-11-23T01:32:31.9489914Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9489990Z import triton
2022-11-23T01:32:31.9490085Z import triton.language as tl
2022-11-23T01:32:31.9490194Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9490299Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9490434Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9490561Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9490566Z 
2022-11-23T01:32:31.9490941Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9491013Z @triton.jit
2022-11-23T01:32:31.9491148Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9491220Z     xnumel = 64
2022-11-23T01:32:31.9491311Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9491442Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9491528Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9491607Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9491684Z     x0 = xindex % 8
2022-11-23T01:32:31.9491754Z     x2 = xindex
2022-11-23T01:32:31.9491825Z     tmp0 = 1 + x1
2022-11-23T01:32:31.9491891Z     tmp1 = 1 + x0
2022-11-23T01:32:31.9492037Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (10*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.9492108Z     tmp3 = x0
2022-11-23T01:32:31.9492185Z     tmp4 = tmp3 >= 1
2022-11-23T01:32:31.9492260Z     tmp5 = tmp3 <= 1
2022-11-23T01:32:31.9492339Z     tmp6 = tmp4 & tmp5
2022-11-23T01:32:31.9492446Z     tmp7 = 1 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9492597Z     tmp8 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9492758Z     tmp9 = tl.load(in_ptr0 + (tmp8 + (10*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:31.9492851Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:31.9492931Z     tmp11 = tmp2 + tmp10
2022-11-23T01:32:31.9493036Z     tmp12 = tmp3 >= 6
2022-11-23T01:32:31.9493114Z     tmp13 = tmp3 <= 6
2022-11-23T01:32:31.9493226Z     tmp14 = tmp12 & tmp13
2022-11-23T01:32:31.9493327Z     tmp15 = 1 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9493490Z     tmp16 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9493653Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (10*tmp15) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp14, other=0)
2022-11-23T01:32:31.9493750Z     tmp18 = tl.where(tmp14, tmp17, 0.0)
2022-11-23T01:32:31.9493831Z     tmp19 = tmp11 + tmp18
2022-11-23T01:32:31.9493903Z     tmp20 = x1
2022-11-23T01:32:31.9493983Z     tmp21 = tmp20 >= 1
2022-11-23T01:32:31.9494054Z     tmp22 = tmp20 <= 1
2022-11-23T01:32:31.9494135Z     tmp23 = tmp21 & tmp22
2022-11-23T01:32:31.9494295Z     tmp24 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9494402Z     tmp25 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9494566Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (10*tmp24) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0)
2022-11-23T01:32:31.9494662Z     tmp27 = tl.where(tmp23, tmp26, 0.0)
2022-11-23T01:32:31.9494744Z     tmp28 = tmp19 + tmp27
2022-11-23T01:32:31.9494815Z     tmp29 = tmp20 >= 6
2022-11-23T01:32:31.9494891Z     tmp30 = tmp20 <= 6
2022-11-23T01:32:31.9494970Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.9495133Z     tmp32 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9495238Z     tmp33 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9495399Z     tmp34 = tl.load(in_ptr0 + (tmp33 + (10*tmp32) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0)
2022-11-23T01:32:31.9495495Z     tmp35 = tl.where(tmp31, tmp34, 0.0)
2022-11-23T01:32:31.9495569Z     tmp36 = tmp28 + tmp35
2022-11-23T01:32:31.9495649Z     tmp37 = tmp23 & tmp6
2022-11-23T01:32:31.9495806Z     tmp38 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9495965Z     tmp39 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9496125Z     tmp40 = tl.load(in_ptr0 + (tmp39 + (10*tmp38) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:31.9496223Z     tmp41 = tl.where(tmp37, tmp40, 0.0)
2022-11-23T01:32:31.9496301Z     tmp42 = tmp36 + tmp41
2022-11-23T01:32:31.9496380Z     tmp43 = tmp23 & tmp14
2022-11-23T01:32:31.9496534Z     tmp44 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9496695Z     tmp45 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9496857Z     tmp46 = tl.load(in_ptr0 + (tmp45 + (10*tmp44) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp43, other=0)
2022-11-23T01:32:31.9496953Z     tmp47 = tl.where(tmp43, tmp46, 0.0)
2022-11-23T01:32:31.9497033Z     tmp48 = tmp42 + tmp47
2022-11-23T01:32:31.9497112Z     tmp49 = tmp31 & tmp6
2022-11-23T01:32:31.9497274Z     tmp50 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9497426Z     tmp51 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9497585Z     tmp52 = tl.load(in_ptr0 + (tmp51 + (10*tmp50) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0)
2022-11-23T01:32:31.9497681Z     tmp53 = tl.where(tmp49, tmp52, 0.0)
2022-11-23T01:32:31.9497763Z     tmp54 = tmp48 + tmp53
2022-11-23T01:32:31.9497843Z     tmp55 = tmp31 & tmp14
2022-11-23T01:32:31.9498004Z     tmp56 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9498163Z     tmp57 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9498314Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (10*tmp56) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp55, other=0)
2022-11-23T01:32:31.9498410Z     tmp59 = tl.where(tmp55, tmp58, 0.0)
2022-11-23T01:32:31.9498492Z     tmp60 = tmp54 + tmp59
2022-11-23T01:32:31.9498628Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp60, xmask)
2022-11-23T01:32:31.9498713Z ''')
2022-11-23T01:32:31.9498719Z 
2022-11-23T01:32:31.9498724Z 
2022-11-23T01:32:31.9498931Z async_compile.wait(globals())
2022-11-23T01:32:31.9499011Z del async_compile
2022-11-23T01:32:31.9499017Z 
2022-11-23T01:32:31.9499091Z def call(args):
2022-11-23T01:32:31.9499210Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9499312Z     args.clear()
2022-11-23T01:32:31.9499535Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9499626Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9499790Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9499864Z     del arg0_1
2022-11-23T01:32:31.9499938Z     return (buf0, )
2022-11-23T01:32:31.9499943Z 
2022-11-23T01:32:31.9499948Z 
2022-11-23T01:32:31.9500029Z if __name__ == "__main__":
2022-11-23T01:32:31.9500141Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9500270Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9500493Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9500707Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9500832Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9500839Z 
2022-11-23T01:32:31.9501198Z [2022-11-23 01:30:10,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ol/colswkvwg2nnvd6bco36ywcz4t5r3wrtnaqk6g2d3luc53xvrgle.py
2022-11-23T01:32:31.9501464Z [2022-11-23 01:30:10,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 646
2022-11-23T01:32:31.9501702Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9502017Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9502231Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9502486Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9502768Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9503092Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9503437Z [2022-11-23 01:30:10,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9503758Z [2022-11-23 01:30:10,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9504132Z [2022-11-23 01:30:10,900] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9504233Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9504361Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9504471Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9504561Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9504665Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9504759Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9504839Z               12 RETURN_VALUE
2022-11-23T01:32:31.9504906Z  
2022-11-23T01:32:31.9504911Z 
2022-11-23T01:32:31.9505229Z [2022-11-23 01:30:10,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9505450Z [2022-11-23 01:30:10,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9505790Z [2022-11-23 01:30:10,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9506111Z [2022-11-23 01:30:10,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9506436Z [2022-11-23 01:30:10,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9506781Z [2022-11-23 01:30:10,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9507147Z [2022-11-23 01:30:10,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9507393Z [2022-11-23 01:30:10,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9507762Z [2022-11-23 01:30:10,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9508010Z [2022-11-23 01:30:10,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9508242Z [2022-11-23 01:30:10,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9508493Z [2022-11-23 01:30:10,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9508738Z [2022-11-23 01:30:10,911] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9508922Z [2022-11-23 01:30:10,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9509062Z  __compiled_fn_664 <eval_with_key>.4107 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9509159Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9509251Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9509430Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T01:32:31.9509564Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9509569Z 
2022-11-23T01:32:31.9509889Z [2022-11-23 01:30:10,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9509989Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9510079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9510174Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9510334Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9510443Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9510555Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9510638Z              12 RETURN_VALUE
2022-11-23T01:32:31.9510643Z 
2022-11-23T01:32:31.9510705Z  
2022-11-23T01:32:31.9511022Z [2022-11-23 01:30:10,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9511134Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_664)
2022-11-23T01:32:31.9511230Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9511325Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9511408Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9511500Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9511594Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9511675Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9511761Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9511871Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9512008Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9512110Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9512233Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9512377Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9512485Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9512580Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9512654Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9512754Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9512860Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9512956Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9513035Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9513142Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9513242Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9513337Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9513431Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9513515Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9513627Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9513708Z              52 RETURN_VALUE
2022-11-23T01:32:31.9513713Z 
2022-11-23T01:32:31.9513777Z  
2022-11-23T01:32:31.9513966Z [2022-11-23 01:30:10,913] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9514034Z  - 
2022-11-23T01:32:31.9514158Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9514228Z             {
2022-11-23T01:32:31.9514371Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9514559Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9514681Z                 'obj_weakref': None
2022-11-23T01:32:31.9514904Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9514966Z             }
2022-11-23T01:32:31.9515034Z             
2022-11-23T01:32:31.9515108Z  - 
2022-11-23T01:32:31.9515239Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9515310Z             {
2022-11-23T01:32:31.9515456Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9515566Z                 'code': None,
2022-11-23T01:32:31.9515767Z                 'obj_weakref': <weakref at 0x7f2023354d60; to 'Tensor' at 0x7f20680bc0e0>
2022-11-23T01:32:31.9516014Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9516084Z             }
2022-11-23T01:32:31.9516155Z             
2022-11-23T01:32:31.9516231Z  - 
2022-11-23T01:32:31.9516358Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9516425Z             {
2022-11-23T01:32:31.9516564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9516673Z                 'code': None,
2022-11-23T01:32:31.9516879Z                 'obj_weakref': <weakref at 0x7f2023354360; to 'Tensor' at 0x7f20727e03b0>
2022-11-23T01:32:31.9517128Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9517201Z             }
2022-11-23T01:32:31.9517271Z             
2022-11-23T01:32:31.9517345Z  - 
2022-11-23T01:32:31.9517473Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9517542Z             {
2022-11-23T01:32:31.9517681Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9517854Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9517975Z                 'obj_weakref': None
2022-11-23T01:32:31.9518204Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9518272Z             }
2022-11-23T01:32:31.9518333Z             
2022-11-23T01:32:31.9518407Z  - 
2022-11-23T01:32:31.9518530Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9518596Z             {
2022-11-23T01:32:31.9518733Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9518979Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9519118Z                 'obj_weakref': None
2022-11-23T01:32:31.9519333Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9519401Z             }
2022-11-23T01:32:31.9519468Z             
2022-11-23T01:32:31.9519541Z  - 
2022-11-23T01:32:31.9519719Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9519786Z             {
2022-11-23T01:32:31.9519954Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9520646Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T01:32:31.9520769Z                 'obj_weakref': None
2022-11-23T01:32:31.9520981Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9521049Z             }
2022-11-23T01:32:31.9521116Z             
2022-11-23T01:32:31.9521188Z  - 
2022-11-23T01:32:31.9521378Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9521446Z             {
2022-11-23T01:32:31.9521591Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9521860Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:31.9521983Z                 'obj_weakref': None
2022-11-23T01:32:31.9522204Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9522272Z             }
2022-11-23T01:32:31.9522342Z             
2022-11-23T01:32:31.9522417Z  - 
2022-11-23T01:32:31.9522602Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9522663Z             {
2022-11-23T01:32:31.9522808Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9523083Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:31.9523203Z                 'obj_weakref': None
2022-11-23T01:32:31.9523420Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9523486Z             }
2022-11-23T01:32:31.9523551Z             
2022-11-23T01:32:31.9523618Z  - 
2022-11-23T01:32:31.9523802Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9523868Z             {
2022-11-23T01:32:31.9524013Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9524290Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T01:32:31.9524410Z                 'obj_weakref': None
2022-11-23T01:32:31.9524624Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9524689Z             }
2022-11-23T01:32:31.9524750Z             
2022-11-23T01:32:31.9524824Z  - 
2022-11-23T01:32:31.9525009Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9525077Z             {
2022-11-23T01:32:31.9525221Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9525495Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T01:32:31.9525616Z                 'obj_weakref': None
2022-11-23T01:32:31.9525853Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9525945Z             }
2022-11-23T01:32:31.9526013Z             
2022-11-23T01:32:31.9526088Z  - 
2022-11-23T01:32:31.9526222Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9526289Z             {
2022-11-23T01:32:31.9526413Z                 'guard_types': None,
2022-11-23T01:32:31.9526516Z                 'code': None,
2022-11-23T01:32:31.9526635Z                 'obj_weakref': None
2022-11-23T01:32:31.9526758Z                 'guarded_class': None
2022-11-23T01:32:31.9526826Z             }
2022-11-23T01:32:31.9526892Z             
2022-11-23T01:32:31.9527152Z [2022-11-23 01:30:10,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 647
2022-11-23T01:32:31.9527398Z [2022-11-23 01:30:10,959] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9527404Z 
2022-11-23T01:32:31.9527496Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9527571Z import torch
2022-11-23T01:32:31.9527646Z import random
2022-11-23T01:32:31.9527767Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9527893Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9527899Z 
2022-11-23T01:32:31.9527981Z aten = torch.ops.aten
2022-11-23T01:32:31.9528120Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9528210Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9528222Z 
2022-11-23T01:32:31.9528289Z import triton
2022-11-23T01:32:31.9528383Z import triton.language as tl
2022-11-23T01:32:31.9528508Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9528648Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9528654Z 
2022-11-23T01:32:31.9528658Z 
2022-11-23T01:32:31.9528851Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9528925Z import triton
2022-11-23T01:32:31.9529020Z import triton.language as tl
2022-11-23T01:32:31.9529127Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9529230Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9529367Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9529494Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9529500Z 
2022-11-23T01:32:31.9529869Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9529941Z @triton.jit
2022-11-23T01:32:31.9530075Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9530149Z     xnumel = 64
2022-11-23T01:32:31.9530240Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9530370Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9530452Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9530533Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9530609Z     x0 = xindex % 8
2022-11-23T01:32:31.9530686Z     x2 = xindex
2022-11-23T01:32:31.9530761Z     tmp0 = 1 + x1
2022-11-23T01:32:31.9530828Z     tmp1 = 1 + x0
2022-11-23T01:32:31.9530991Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (10*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.9531064Z     tmp3 = x0
2022-11-23T01:32:31.9531139Z     tmp4 = tmp3 >= 1
2022-11-23T01:32:31.9531216Z     tmp5 = tmp3 <= 1
2022-11-23T01:32:31.9531293Z     tmp6 = tmp4 & tmp5
2022-11-23T01:32:31.9531398Z     tmp7 = 1 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9531551Z     tmp8 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9531727Z     tmp9 = tl.load(in_ptr0 + (tmp8 + (10*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:31.9531824Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:31.9531905Z     tmp11 = tmp2 + tmp10
2022-11-23T01:32:31.9531982Z     tmp12 = tmp3 >= 6
2022-11-23T01:32:31.9532086Z     tmp13 = tmp3 <= 6
2022-11-23T01:32:31.9532189Z     tmp14 = tmp12 & tmp13
2022-11-23T01:32:31.9532290Z     tmp15 = 1 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9532453Z     tmp16 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9532628Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (10*tmp15) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp14, other=0).to(tl.float32)
2022-11-23T01:32:31.9532725Z     tmp18 = tl.where(tmp14, tmp17, 0.0)
2022-11-23T01:32:31.9532805Z     tmp19 = tmp11 + tmp18
2022-11-23T01:32:31.9532877Z     tmp20 = x1
2022-11-23T01:32:31.9532954Z     tmp21 = tmp20 >= 1
2022-11-23T01:32:31.9533024Z     tmp22 = tmp20 <= 1
2022-11-23T01:32:31.9533104Z     tmp23 = tmp21 & tmp22
2022-11-23T01:32:31.9533265Z     tmp24 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9533371Z     tmp25 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9533546Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (10*tmp24) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0).to(tl.float32)
2022-11-23T01:32:31.9533642Z     tmp27 = tl.where(tmp23, tmp26, 0.0)
2022-11-23T01:32:31.9533724Z     tmp28 = tmp19 + tmp27
2022-11-23T01:32:31.9533795Z     tmp29 = tmp20 >= 6
2022-11-23T01:32:31.9533871Z     tmp30 = tmp20 <= 6
2022-11-23T01:32:31.9533951Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.9534112Z     tmp32 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9534216Z     tmp33 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9534388Z     tmp34 = tl.load(in_ptr0 + (tmp33 + (10*tmp32) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0).to(tl.float32)
2022-11-23T01:32:31.9534485Z     tmp35 = tl.where(tmp31, tmp34, 0.0)
2022-11-23T01:32:31.9534565Z     tmp36 = tmp28 + tmp35
2022-11-23T01:32:31.9534639Z     tmp37 = tmp23 & tmp6
2022-11-23T01:32:31.9534798Z     tmp38 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9534957Z     tmp39 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9535129Z     tmp40 = tl.load(in_ptr0 + (tmp39 + (10*tmp38) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0).to(tl.float32)
2022-11-23T01:32:31.9535227Z     tmp41 = tl.where(tmp37, tmp40, 0.0)
2022-11-23T01:32:31.9535306Z     tmp42 = tmp36 + tmp41
2022-11-23T01:32:31.9535386Z     tmp43 = tmp23 & tmp14
2022-11-23T01:32:31.9535536Z     tmp44 = 1 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9535697Z     tmp45 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9535866Z     tmp46 = tl.load(in_ptr0 + (tmp45 + (10*tmp44) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp43, other=0).to(tl.float32)
2022-11-23T01:32:31.9535961Z     tmp47 = tl.where(tmp43, tmp46, 0.0)
2022-11-23T01:32:31.9536041Z     tmp48 = tmp42 + tmp47
2022-11-23T01:32:31.9536120Z     tmp49 = tmp31 & tmp6
2022-11-23T01:32:31.9536278Z     tmp50 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9536427Z     tmp51 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9536595Z     tmp52 = tl.load(in_ptr0 + (tmp51 + (10*tmp50) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0).to(tl.float32)
2022-11-23T01:32:31.9536695Z     tmp53 = tl.where(tmp49, tmp52, 0.0)
2022-11-23T01:32:31.9536774Z     tmp54 = tmp48 + tmp53
2022-11-23T01:32:31.9536855Z     tmp55 = tmp31 & tmp14
2022-11-23T01:32:31.9537014Z     tmp56 = 15 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9537170Z     tmp57 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9537336Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (10*tmp56) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp55, other=0).to(tl.float32)
2022-11-23T01:32:31.9537425Z     tmp59 = tl.where(tmp55, tmp58, 0.0)
2022-11-23T01:32:31.9537504Z     tmp60 = tmp54 + tmp59
2022-11-23T01:32:31.9537641Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp60, xmask)
2022-11-23T01:32:31.9537726Z ''')
2022-11-23T01:32:31.9537732Z 
2022-11-23T01:32:31.9537737Z 
2022-11-23T01:32:31.9537829Z async_compile.wait(globals())
2022-11-23T01:32:31.9537934Z del async_compile
2022-11-23T01:32:31.9537940Z 
2022-11-23T01:32:31.9538045Z def call(args):
2022-11-23T01:32:31.9538124Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9538192Z     args.clear()
2022-11-23T01:32:31.9538406Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9538496Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9538664Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9538734Z     del arg0_1
2022-11-23T01:32:31.9538923Z     return (buf0, )
2022-11-23T01:32:31.9538929Z 
2022-11-23T01:32:31.9538934Z 
2022-11-23T01:32:31.9539014Z if __name__ == "__main__":
2022-11-23T01:32:31.9539126Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9539253Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9539475Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9539693Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9539817Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9539822Z 
2022-11-23T01:32:31.9540185Z [2022-11-23 01:30:11,084] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ns/cnsog3nt33j4pznpnwvtovylscea53blyvo5kjimb3dbnsg3u5e5.py
2022-11-23T01:32:31.9540449Z [2022-11-23 01:30:11,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 647
2022-11-23T01:32:31.9540684Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9540997Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9541208Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9541460Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9541736Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9542050Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9542389Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9542708Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9543082Z [2022-11-23 01:30:11,088] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:31.9543185Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9543318Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:31.9543423Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:31.9543513Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:31.9543617Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:31.9543711Z               10 CALL_METHOD              3
2022-11-23T01:32:31.9543792Z               12 RETURN_VALUE
2022-11-23T01:32:31.9543858Z  
2022-11-23T01:32:31.9543864Z 
2022-11-23T01:32:31.9544179Z [2022-11-23 01:30:11,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:32:31.9544399Z [2022-11-23 01:30:11,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9544779Z [2022-11-23 01:30:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9545098Z [2022-11-23 01:30:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:31.9545405Z [2022-11-23 01:30:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:31.9545754Z [2022-11-23 01:30:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9546118Z [2022-11-23 01:30:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9546366Z [2022-11-23 01:30:11,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9546737Z [2022-11-23 01:30:11,095] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e987c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:31.9546984Z [2022-11-23 01:30:11,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:31.9547216Z [2022-11-23 01:30:11,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9547467Z [2022-11-23 01:30:11,097] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9547716Z [2022-11-23 01:30:11,099] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9547907Z [2022-11-23 01:30:11,099] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9548040Z  __compiled_fn_665 <eval_with_key>.4113 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9548136Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9548228Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9548409Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T01:32:31.9548541Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:31.9548547Z 
2022-11-23T01:32:31.9548871Z [2022-11-23 01:30:11,100] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9548972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9549067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9549153Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9549253Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9549343Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9549435Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9549515Z              12 RETURN_VALUE
2022-11-23T01:32:31.9549523Z 
2022-11-23T01:32:31.9549585Z  
2022-11-23T01:32:31.9549904Z [2022-11-23 01:30:11,100] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9550014Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_665)
2022-11-23T01:32:31.9550110Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9550204Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9550351Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9550460Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9550567Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9550662Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9550768Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9550886Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9551037Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:31.9551172Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:31.9551284Z              22 CALL_FUNCTION            0
2022-11-23T01:32:31.9551385Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:31.9551492Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9551587Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9551661Z              30 BINARY_SUBSCR
2022-11-23T01:32:31.9551762Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9551871Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9551965Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9552047Z              38 BINARY_SUBSCR
2022-11-23T01:32:31.9552156Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:31.9552251Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9552346Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:31.9552442Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9552525Z              48 BINARY_SUBSCR
2022-11-23T01:32:31.9552631Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:31.9552712Z              52 RETURN_VALUE
2022-11-23T01:32:31.9552718Z 
2022-11-23T01:32:31.9552783Z  
2022-11-23T01:32:31.9552972Z [2022-11-23 01:30:11,101] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9553041Z  - 
2022-11-23T01:32:31.9553168Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9553237Z             {
2022-11-23T01:32:31.9553382Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9553570Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9553696Z                 'obj_weakref': None
2022-11-23T01:32:31.9553923Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9553991Z             }
2022-11-23T01:32:31.9554055Z             
2022-11-23T01:32:31.9554130Z  - 
2022-11-23T01:32:31.9554263Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9554333Z             {
2022-11-23T01:32:31.9554480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9554592Z                 'code': None,
2022-11-23T01:32:31.9554797Z                 'obj_weakref': <weakref at 0x7f202322b650; to 'Tensor' at 0x7f1fd97e45e0>
2022-11-23T01:32:31.9555052Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9555120Z             }
2022-11-23T01:32:31.9555187Z             
2022-11-23T01:32:31.9555263Z  - 
2022-11-23T01:32:31.9555391Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9555459Z             {
2022-11-23T01:32:31.9555596Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9555706Z                 'code': None,
2022-11-23T01:32:31.9555918Z                 'obj_weakref': <weakref at 0x7f20231038d0; to 'Tensor' at 0x7f1fd9a03d80>
2022-11-23T01:32:31.9556167Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9556241Z             }
2022-11-23T01:32:31.9556308Z             
2022-11-23T01:32:31.9556381Z  - 
2022-11-23T01:32:31.9556507Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9556573Z             {
2022-11-23T01:32:31.9556712Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9556882Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9557005Z                 'obj_weakref': None
2022-11-23T01:32:31.9557232Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9557300Z             }
2022-11-23T01:32:31.9557367Z             
2022-11-23T01:32:31.9557435Z  - 
2022-11-23T01:32:31.9557560Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9557629Z             {
2022-11-23T01:32:31.9557799Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9558036Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9558156Z                 'obj_weakref': None
2022-11-23T01:32:31.9558378Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9558439Z             }
2022-11-23T01:32:31.9558506Z             
2022-11-23T01:32:31.9558583Z  - 
2022-11-23T01:32:31.9558762Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:31.9558829Z             {
2022-11-23T01:32:31.9558999Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:31.9559687Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T01:32:31.9559812Z                 'obj_weakref': None
2022-11-23T01:32:31.9560023Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:31.9560091Z             }
2022-11-23T01:32:31.9560157Z             
2022-11-23T01:32:31.9560230Z  - 
2022-11-23T01:32:31.9560416Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:31.9560483Z             {
2022-11-23T01:32:31.9560628Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9560898Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:31.9561019Z                 'obj_weakref': None
2022-11-23T01:32:31.9561235Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9561306Z             }
2022-11-23T01:32:31.9561373Z             
2022-11-23T01:32:31.9561445Z  - 
2022-11-23T01:32:31.9561631Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:31.9561692Z             {
2022-11-23T01:32:31.9561840Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9562117Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:31.9562239Z                 'obj_weakref': None
2022-11-23T01:32:31.9562454Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9562521Z             }
2022-11-23T01:32:31.9562588Z             
2022-11-23T01:32:31.9562661Z  - 
2022-11-23T01:32:31.9562838Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:31.9562909Z             {
2022-11-23T01:32:31.9563057Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9563334Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T01:32:31.9563454Z                 'obj_weakref': None
2022-11-23T01:32:31.9563668Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9563736Z             }
2022-11-23T01:32:31.9563796Z             
2022-11-23T01:32:31.9563868Z  - 
2022-11-23T01:32:31.9564052Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:31.9564120Z             {
2022-11-23T01:32:31.9564264Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:31.9564542Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T01:32:31.9564689Z                 'obj_weakref': None
2022-11-23T01:32:31.9564917Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:31.9564985Z             }
2022-11-23T01:32:31.9565052Z             
2022-11-23T01:32:31.9565125Z  - 
2022-11-23T01:32:31.9565258Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9565324Z             {
2022-11-23T01:32:31.9565447Z                 'guard_types': None,
2022-11-23T01:32:31.9565550Z                 'code': None,
2022-11-23T01:32:31.9565670Z                 'obj_weakref': None
2022-11-23T01:32:31.9565793Z                 'guarded_class': None
2022-11-23T01:32:31.9565861Z             }
2022-11-23T01:32:31.9565928Z             
2022-11-23T01:32:31.9566189Z [2022-11-23 01:30:11,105] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 648
2022-11-23T01:32:31.9566436Z [2022-11-23 01:30:11,138] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9566444Z 
2022-11-23T01:32:31.9566543Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9566612Z import torch
2022-11-23T01:32:31.9566687Z import random
2022-11-23T01:32:31.9566808Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9566933Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9566939Z 
2022-11-23T01:32:31.9567021Z aten = torch.ops.aten
2022-11-23T01:32:31.9567159Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9567256Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9567261Z 
2022-11-23T01:32:31.9567328Z import triton
2022-11-23T01:32:31.9567420Z import triton.language as tl
2022-11-23T01:32:31.9567547Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9567690Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9567695Z 
2022-11-23T01:32:31.9567700Z 
2022-11-23T01:32:31.9567893Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9567970Z import triton
2022-11-23T01:32:31.9568062Z import triton.language as tl
2022-11-23T01:32:31.9568176Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9568272Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9568408Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9568535Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9568540Z 
2022-11-23T01:32:31.9568910Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9568983Z @triton.jit
2022-11-23T01:32:31.9569117Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9569192Z     xnumel = 64
2022-11-23T01:32:31.9569284Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9569415Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9569500Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9569582Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9569656Z     x0 = xindex % 8
2022-11-23T01:32:31.9569727Z     x2 = xindex
2022-11-23T01:32:31.9569804Z     tmp0 = 3 + x1
2022-11-23T01:32:31.9569871Z     tmp1 = 1 + x0
2022-11-23T01:32:31.9570019Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (11*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.9570090Z     tmp3 = x0
2022-11-23T01:32:31.9570167Z     tmp4 = tmp3 >= 1
2022-11-23T01:32:31.9570241Z     tmp5 = tmp3 <= 1
2022-11-23T01:32:31.9570319Z     tmp6 = tmp4 & tmp5
2022-11-23T01:32:31.9570428Z     tmp7 = 3 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9570581Z     tmp8 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9570741Z     tmp9 = tl.load(in_ptr0 + (tmp8 + (11*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:31.9570838Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:31.9570920Z     tmp11 = tmp2 + tmp10
2022-11-23T01:32:31.9571027Z     tmp12 = tmp3 >= 5
2022-11-23T01:32:31.9571124Z     tmp13 = tmp3 <= 6
2022-11-23T01:32:31.9571206Z     tmp14 = tmp12 & tmp13
2022-11-23T01:32:31.9571308Z     tmp15 = 3 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9571471Z     tmp16 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9571634Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (11*tmp15) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp14, other=0)
2022-11-23T01:32:31.9571732Z     tmp18 = tl.where(tmp14, tmp17, 0.0)
2022-11-23T01:32:31.9571816Z     tmp19 = tmp11 + tmp18
2022-11-23T01:32:31.9571888Z     tmp20 = x1
2022-11-23T01:32:31.9571966Z     tmp21 = tmp20 >= 1
2022-11-23T01:32:31.9572036Z     tmp22 = tmp20 <= 3
2022-11-23T01:32:31.9572117Z     tmp23 = tmp21 & tmp22
2022-11-23T01:32:31.9572278Z     tmp24 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9572384Z     tmp25 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9572547Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (11*tmp24) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0)
2022-11-23T01:32:31.9572645Z     tmp27 = tl.where(tmp23, tmp26, 0.0)
2022-11-23T01:32:31.9572725Z     tmp28 = tmp19 + tmp27
2022-11-23T01:32:31.9572796Z     tmp29 = tmp20 >= 3
2022-11-23T01:32:31.9572872Z     tmp30 = tmp20 <= 6
2022-11-23T01:32:31.9572951Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.9573113Z     tmp32 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9573219Z     tmp33 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9573380Z     tmp34 = tl.load(in_ptr0 + (tmp33 + (11*tmp32) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0)
2022-11-23T01:32:31.9573476Z     tmp35 = tl.where(tmp31, tmp34, 0.0)
2022-11-23T01:32:31.9573556Z     tmp36 = tmp28 + tmp35
2022-11-23T01:32:31.9573629Z     tmp37 = tmp23 & tmp6
2022-11-23T01:32:31.9573788Z     tmp38 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9573945Z     tmp39 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9574104Z     tmp40 = tl.load(in_ptr0 + (tmp39 + (11*tmp38) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0)
2022-11-23T01:32:31.9574202Z     tmp41 = tl.where(tmp37, tmp40, 0.0)
2022-11-23T01:32:31.9574282Z     tmp42 = tmp36 + tmp41
2022-11-23T01:32:31.9574361Z     tmp43 = tmp23 & tmp14
2022-11-23T01:32:31.9574512Z     tmp44 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9574671Z     tmp45 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9574829Z     tmp46 = tl.load(in_ptr0 + (tmp45 + (11*tmp44) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp43, other=0)
2022-11-23T01:32:31.9574930Z     tmp47 = tl.where(tmp43, tmp46, 0.0)
2022-11-23T01:32:31.9575009Z     tmp48 = tmp42 + tmp47
2022-11-23T01:32:31.9575089Z     tmp49 = tmp31 & tmp6
2022-11-23T01:32:31.9575249Z     tmp50 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9575399Z     tmp51 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9575558Z     tmp52 = tl.load(in_ptr0 + (tmp51 + (11*tmp50) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0)
2022-11-23T01:32:31.9575656Z     tmp53 = tl.where(tmp49, tmp52, 0.0)
2022-11-23T01:32:31.9575737Z     tmp54 = tmp48 + tmp53
2022-11-23T01:32:31.9575816Z     tmp55 = tmp31 & tmp14
2022-11-23T01:32:31.9575976Z     tmp56 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9576133Z     tmp57 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9576294Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (11*tmp56) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp55, other=0)
2022-11-23T01:32:31.9576383Z     tmp59 = tl.where(tmp55, tmp58, 0.0)
2022-11-23T01:32:31.9576467Z     tmp60 = tmp54 + tmp59
2022-11-23T01:32:31.9576603Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp60, xmask)
2022-11-23T01:32:31.9576687Z ''')
2022-11-23T01:32:31.9576693Z 
2022-11-23T01:32:31.9576698Z 
2022-11-23T01:32:31.9576792Z async_compile.wait(globals())
2022-11-23T01:32:31.9576870Z del async_compile
2022-11-23T01:32:31.9576876Z 
2022-11-23T01:32:31.9576978Z def call(args):
2022-11-23T01:32:31.9577078Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9577156Z     args.clear()
2022-11-23T01:32:31.9577372Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9577465Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9577632Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9577705Z     del arg0_1
2022-11-23T01:32:31.9577778Z     return (buf0, )
2022-11-23T01:32:31.9577783Z 
2022-11-23T01:32:31.9577788Z 
2022-11-23T01:32:31.9577870Z if __name__ == "__main__":
2022-11-23T01:32:31.9577983Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9578110Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9578330Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9578541Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9578665Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9578670Z 
2022-11-23T01:32:31.9579215Z [2022-11-23 01:30:11,268] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z5/cz5iadejemmkf54dunjc5x2ugxfwcnh6bf6bzqjzzjx5ub7hzyrw.py
2022-11-23T01:32:31.9579484Z [2022-11-23 01:30:11,268] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 648
2022-11-23T01:32:31.9579490Z 
2022-11-23T01:32:31.9579588Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9579661Z import torch
2022-11-23T01:32:31.9579729Z import random
2022-11-23T01:32:31.9579849Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9579971Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9579976Z 
2022-11-23T01:32:31.9580058Z aten = torch.ops.aten
2022-11-23T01:32:31.9580195Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9580294Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9580302Z 
2022-11-23T01:32:31.9580375Z import triton
2022-11-23T01:32:31.9580461Z import triton.language as tl
2022-11-23T01:32:31.9580589Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9580729Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9580735Z 
2022-11-23T01:32:31.9580739Z 
2022-11-23T01:32:31.9580932Z triton_fused_reflection_pad2d_backward0 = async_compile.triton('''
2022-11-23T01:32:31.9581008Z import triton
2022-11-23T01:32:31.9581099Z import triton.language as tl
2022-11-23T01:32:31.9581213Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9581315Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9581443Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9581569Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9581574Z 
2022-11-23T01:32:31.9581950Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9582027Z @triton.jit
2022-11-23T01:32:31.9582161Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9582232Z     xnumel = 64
2022-11-23T01:32:31.9582326Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9582458Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9582535Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9582614Z     x1 = (xindex // 8)
2022-11-23T01:32:31.9582688Z     x0 = xindex % 8
2022-11-23T01:32:31.9582758Z     x2 = xindex
2022-11-23T01:32:31.9582831Z     tmp0 = 3 + x1
2022-11-23T01:32:31.9582904Z     tmp1 = 1 + x0
2022-11-23T01:32:31.9583065Z     tmp2 = tl.load(in_ptr0 + (tmp1 + (11*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.9583130Z     tmp3 = x0
2022-11-23T01:32:31.9583206Z     tmp4 = tmp3 >= 1
2022-11-23T01:32:31.9583328Z     tmp5 = tmp3 <= 1
2022-11-23T01:32:31.9583442Z     tmp6 = tmp4 & tmp5
2022-11-23T01:32:31.9583551Z     tmp7 = 3 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9583712Z     tmp8 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9583885Z     tmp9 = tl.load(in_ptr0 + (tmp8 + (11*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:31.9583974Z     tmp10 = tl.where(tmp6, tmp9, 0.0)
2022-11-23T01:32:31.9584055Z     tmp11 = tmp2 + tmp10
2022-11-23T01:32:31.9584132Z     tmp12 = tmp3 >= 5
2022-11-23T01:32:31.9584207Z     tmp13 = tmp3 <= 6
2022-11-23T01:32:31.9584287Z     tmp14 = tmp12 & tmp13
2022-11-23T01:32:31.9584394Z     tmp15 = 3 + x1 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9584554Z     tmp16 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9584724Z     tmp17 = tl.load(in_ptr0 + (tmp16 + (11*tmp15) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp14, other=0).to(tl.float32)
2022-11-23T01:32:31.9584822Z     tmp18 = tl.where(tmp14, tmp17, 0.0)
2022-11-23T01:32:31.9584905Z     tmp19 = tmp11 + tmp18
2022-11-23T01:32:31.9584979Z     tmp20 = x1
2022-11-23T01:32:31.9585056Z     tmp21 = tmp20 >= 1
2022-11-23T01:32:31.9585133Z     tmp22 = tmp20 <= 3
2022-11-23T01:32:31.9585212Z     tmp23 = tmp21 & tmp22
2022-11-23T01:32:31.9585366Z     tmp24 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9585474Z     tmp25 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9585647Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (11*tmp24) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0).to(tl.float32)
2022-11-23T01:32:31.9585743Z     tmp27 = tl.where(tmp23, tmp26, 0.0)
2022-11-23T01:32:31.9585821Z     tmp28 = tmp19 + tmp27
2022-11-23T01:32:31.9585900Z     tmp29 = tmp20 >= 3
2022-11-23T01:32:31.9585977Z     tmp30 = tmp20 <= 6
2022-11-23T01:32:31.9586049Z     tmp31 = tmp29 & tmp30
2022-11-23T01:32:31.9586207Z     tmp32 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9586312Z     tmp33 = 1 + x0 + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9586488Z     tmp34 = tl.load(in_ptr0 + (tmp33 + (11*tmp32) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0).to(tl.float32)
2022-11-23T01:32:31.9586583Z     tmp35 = tl.where(tmp31, tmp34, 0.0)
2022-11-23T01:32:31.9586661Z     tmp36 = tmp28 + tmp35
2022-11-23T01:32:31.9586741Z     tmp37 = tmp23 & tmp6
2022-11-23T01:32:31.9586894Z     tmp38 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9587052Z     tmp39 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9587217Z     tmp40 = tl.load(in_ptr0 + (tmp39 + (11*tmp38) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp37, other=0).to(tl.float32)
2022-11-23T01:32:31.9587313Z     tmp41 = tl.where(tmp37, tmp40, 0.0)
2022-11-23T01:32:31.9587393Z     tmp42 = tmp36 + tmp41
2022-11-23T01:32:31.9587471Z     tmp43 = tmp23 & tmp14
2022-11-23T01:32:31.9587628Z     tmp44 = 3 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9587782Z     tmp45 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9587951Z     tmp46 = tl.load(in_ptr0 + (tmp45 + (11*tmp44) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp43, other=0).to(tl.float32)
2022-11-23T01:32:31.9588049Z     tmp47 = tl.where(tmp43, tmp46, 0.0)
2022-11-23T01:32:31.9588129Z     tmp48 = tmp42 + tmp47
2022-11-23T01:32:31.9588207Z     tmp49 = tmp31 & tmp6
2022-11-23T01:32:31.9588367Z     tmp50 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9588524Z     tmp51 = 1 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9588689Z     tmp52 = tl.load(in_ptr0 + (tmp51 + (11*tmp50) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp49, other=0).to(tl.float32)
2022-11-23T01:32:31.9588778Z     tmp53 = tl.where(tmp49, tmp52, 0.0)
2022-11-23T01:32:31.9588858Z     tmp54 = tmp48 + tmp53
2022-11-23T01:32:31.9588937Z     tmp55 = tmp31 & tmp14
2022-11-23T01:32:31.9589097Z     tmp56 = 17 + ((-1)*x1) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9589288Z     tmp57 = 15 + ((-1)*x0) + tl.zeros([XBLOCK], tl.int32)
2022-11-23T01:32:31.9589457Z     tmp58 = tl.load(in_ptr0 + (tmp57 + (11*tmp56) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp55, other=0).to(tl.float32)
2022-11-23T01:32:31.9589575Z     tmp59 = tl.where(tmp55, tmp58, 0.0)
2022-11-23T01:32:31.9589648Z     tmp60 = tmp54 + tmp59
2022-11-23T01:32:31.9589784Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp60, xmask)
2022-11-23T01:32:31.9589870Z ''')
2022-11-23T01:32:31.9589876Z 
2022-11-23T01:32:31.9589880Z 
2022-11-23T01:32:31.9589974Z async_compile.wait(globals())
2022-11-23T01:32:31.9590052Z del async_compile
2022-11-23T01:32:31.9590057Z 
2022-11-23T01:32:31.9590132Z def call(args):
2022-11-23T01:32:31.9590213Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9590357Z     args.clear()
2022-11-23T01:32:31.9590586Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9590675Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9590844Z     triton_fused_reflection_pad2d_backward0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9590919Z     del arg0_1
2022-11-23T01:32:31.9590995Z     return (buf0, )
2022-11-23T01:32:31.9591000Z 
2022-11-23T01:32:31.9591004Z 
2022-11-23T01:32:31.9591085Z if __name__ == "__main__":
2022-11-23T01:32:31.9591202Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9591331Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9591544Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9591759Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9591879Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9591884Z 
2022-11-23T01:32:31.9591955Z ok (0.925s)
2022-11-23T01:32:31.9592274Z   test_reflection_pad2d_cuda (__main__.CudaTests) ... [2022-11-23 01:30:11,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9592590Z [2022-11-23 01:30:11,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9592810Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9593061Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9593339Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9593648Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9593984Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9594304Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9594670Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027> 
2022-11-23T01:32:31.9594770Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9594890Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:31.9594987Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9595080Z                6 BUILD_LIST               0
2022-11-23T01:32:31.9595184Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:31.9595271Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.9595362Z               12 CALL_METHOD              2
2022-11-23T01:32:31.9595367Z 
2022-11-23T01:32:31.9595465Z 3030          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9595613Z               16 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:31.9595730Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9595821Z               20 BUILD_LIST               0
2022-11-23T01:32:31.9595923Z               22 LOAD_CONST               2 ((1, 2, 3, 4))
2022-11-23T01:32:31.9596008Z               24 LIST_EXTEND              1
2022-11-23T01:32:31.9596100Z               26 CALL_METHOD              2
2022-11-23T01:32:31.9596105Z 
2022-11-23T01:32:31.9596196Z 3028          28 BUILD_TUPLE              2
2022-11-23T01:32:31.9596277Z               30 RETURN_VALUE
2022-11-23T01:32:31.9596342Z  
2022-11-23T01:32:31.9596347Z 
2022-11-23T01:32:31.9596657Z [2022-11-23 01:30:11,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029
2022-11-23T01:32:31.9596873Z [2022-11-23 01:30:11,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9597195Z [2022-11-23 01:30:11,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9597467Z [2022-11-23 01:30:11,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:31.9597755Z [2022-11-23 01:30:11,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:31.9598081Z [2022-11-23 01:30:11,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9598439Z [2022-11-23 01:30:11,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.9598760Z [2022-11-23 01:30:11,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9599071Z [2022-11-23 01:30:11,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030
2022-11-23T01:32:31.9599314Z [2022-11-23 01:30:11,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.9599660Z [2022-11-23 01:30:11,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9599953Z [2022-11-23 01:30:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:31.9600271Z [2022-11-23 01:30:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:31.9600622Z [2022-11-23 01:30:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9601006Z [2022-11-23 01:30:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.9601355Z [2022-11-23 01:30:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9601656Z [2022-11-23 01:30:11,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028
2022-11-23T01:32:31.9601921Z [2022-11-23 01:30:11,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9602162Z [2022-11-23 01:30:11,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9602553Z [2022-11-23 01:30:11,291] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027>
2022-11-23T01:32:31.9602815Z [2022-11-23 01:30:11,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9603051Z [2022-11-23 01:30:11,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9603303Z [2022-11-23 01:30:11,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9603554Z [2022-11-23 01:30:11,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9603744Z [2022-11-23 01:30:11,296] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9603885Z  __compiled_fn_666 <eval_with_key>.4119 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9603975Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9604123Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T01:32:31.9604277Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T01:32:31.9604420Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T01:32:31.9604425Z 
2022-11-23T01:32:31.9604747Z [2022-11-23 01:30:11,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9604848Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9604945Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9605039Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9605131Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9605224Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9605317Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9605399Z              12 RETURN_VALUE
2022-11-23T01:32:31.9605407Z 
2022-11-23T01:32:31.9605473Z  
2022-11-23T01:32:31.9605786Z [2022-11-23 01:30:11,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9605903Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_666)
2022-11-23T01:32:31.9605997Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9606088Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9606171Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9606265Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9606376Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9606485Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9606580Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9606660Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9606764Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9606861Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9606940Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9607032Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9607113Z              26 RETURN_VALUE
2022-11-23T01:32:31.9607119Z 
2022-11-23T01:32:31.9607184Z  
2022-11-23T01:32:31.9607370Z [2022-11-23 01:30:11,297] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9607438Z  - 
2022-11-23T01:32:31.9607563Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9607632Z             {
2022-11-23T01:32:31.9607775Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9607963Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9608084Z                 'obj_weakref': None
2022-11-23T01:32:31.9608307Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9608397Z             }
2022-11-23T01:32:31.9608466Z             
2022-11-23T01:32:31.9608561Z  - 
2022-11-23T01:32:31.9608688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9608755Z             {
2022-11-23T01:32:31.9608899Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9609009Z                 'code': None,
2022-11-23T01:32:31.9609208Z                 'obj_weakref': <weakref at 0x7f2023100860; to 'Tensor' at 0x7f2115a8a610>
2022-11-23T01:32:31.9609457Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9609523Z             }
2022-11-23T01:32:31.9609591Z             
2022-11-23T01:32:31.9609666Z  - 
2022-11-23T01:32:31.9609803Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9609873Z             {
2022-11-23T01:32:31.9610004Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9610174Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9610298Z                 'obj_weakref': None
2022-11-23T01:32:31.9610532Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9610600Z             }
2022-11-23T01:32:31.9610667Z             
2022-11-23T01:32:31.9610741Z  - 
2022-11-23T01:32:31.9610859Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9610929Z             {
2022-11-23T01:32:31.9611067Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9611282Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9611402Z                 'obj_weakref': None
2022-11-23T01:32:31.9611621Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9611688Z             }
2022-11-23T01:32:31.9611749Z             
2022-11-23T01:32:31.9611822Z  - 
2022-11-23T01:32:31.9611956Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9612026Z             {
2022-11-23T01:32:31.9612154Z                 'guard_types': None,
2022-11-23T01:32:31.9612267Z                 'code': None,
2022-11-23T01:32:31.9612386Z                 'obj_weakref': None
2022-11-23T01:32:31.9612504Z                 'guarded_class': None
2022-11-23T01:32:31.9612572Z             }
2022-11-23T01:32:31.9612639Z             
2022-11-23T01:32:31.9612897Z [2022-11-23 01:30:11,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 649
2022-11-23T01:32:31.9613144Z [2022-11-23 01:30:11,318] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9613386Z [2022-11-23 01:30:11,322] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9613742Z [2022-11-23 01:30:11,415] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7ialfvgxduj6t77fjqj6hk47sv3y6mkifeuxyatyqhig64m6jym.py
2022-11-23T01:32:31.9614007Z [2022-11-23 01:30:11,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 649
2022-11-23T01:32:31.9614239Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9614546Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9614764Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9615014Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9615288Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9615605Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9615999Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9616335Z [2022-11-23 01:30:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9616699Z [2022-11-23 01:30:11,419] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027> 
2022-11-23T01:32:31.9616800Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9616911Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:31.9617008Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9617100Z                6 BUILD_LIST               0
2022-11-23T01:32:31.9617204Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:32:31.9617305Z               10 LIST_EXTEND              1
2022-11-23T01:32:31.9617398Z               12 CALL_METHOD              2
2022-11-23T01:32:31.9617406Z 
2022-11-23T01:32:31.9617503Z 3030          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9617620Z               16 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:31.9617709Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9617802Z               20 BUILD_LIST               0
2022-11-23T01:32:31.9617908Z               22 LOAD_CONST               2 ((1, 2, 3, 4))
2022-11-23T01:32:31.9618001Z               24 LIST_EXTEND              1
2022-11-23T01:32:31.9618091Z               26 CALL_METHOD              2
2022-11-23T01:32:31.9618096Z 
2022-11-23T01:32:31.9618188Z 3028          28 BUILD_TUPLE              2
2022-11-23T01:32:31.9618271Z               30 RETURN_VALUE
2022-11-23T01:32:31.9618330Z  
2022-11-23T01:32:31.9618335Z 
2022-11-23T01:32:31.9618648Z [2022-11-23 01:30:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029
2022-11-23T01:32:31.9618979Z [2022-11-23 01:30:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9619306Z [2022-11-23 01:30:11,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9619575Z [2022-11-23 01:30:11,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:31.9619867Z [2022-11-23 01:30:11,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:31.9620197Z [2022-11-23 01:30:11,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9620556Z [2022-11-23 01:30:11,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.9620879Z [2022-11-23 01:30:11,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9621187Z [2022-11-23 01:30:11,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030
2022-11-23T01:32:31.9621428Z [2022-11-23 01:30:11,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.9621769Z [2022-11-23 01:30:11,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9622063Z [2022-11-23 01:30:11,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:31.9622431Z [2022-11-23 01:30:11,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:31.9622808Z [2022-11-23 01:30:11,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9623192Z [2022-11-23 01:30:11,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:31.9623540Z [2022-11-23 01:30:11,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9623847Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028
2022-11-23T01:32:31.9624110Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9624358Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9624725Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027>
2022-11-23T01:32:31.9624972Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9625203Z [2022-11-23 01:30:11,433] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9625460Z [2022-11-23 01:30:11,434] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9625711Z [2022-11-23 01:30:11,436] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9625905Z [2022-11-23 01:30:11,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9626048Z  __compiled_fn_667 <eval_with_key>.4125 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9626143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9626296Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T01:32:31.9626448Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T01:32:31.9626593Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T01:32:31.9626599Z 
2022-11-23T01:32:31.9626914Z [2022-11-23 01:30:11,437] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9627015Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9627111Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9627205Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9627305Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9627397Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9627489Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9627569Z              12 RETURN_VALUE
2022-11-23T01:32:31.9627574Z 
2022-11-23T01:32:31.9627632Z  
2022-11-23T01:32:31.9627946Z [2022-11-23 01:30:11,437] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9628064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_667)
2022-11-23T01:32:31.9628160Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9628261Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9628343Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9628439Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9628543Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9628679Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9628810Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9628894Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9629003Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9629098Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9629178Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9629264Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9629344Z              26 RETURN_VALUE
2022-11-23T01:32:31.9629349Z 
2022-11-23T01:32:31.9629413Z  
2022-11-23T01:32:31.9629599Z [2022-11-23 01:30:11,438] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9629673Z  - 
2022-11-23T01:32:31.9629795Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9629863Z             {
2022-11-23T01:32:31.9630000Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9630188Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9630406Z                 'obj_weakref': None
2022-11-23T01:32:31.9630664Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9630747Z             }
2022-11-23T01:32:31.9630831Z             
2022-11-23T01:32:31.9630920Z  - 
2022-11-23T01:32:31.9631054Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9631122Z             {
2022-11-23T01:32:31.9631268Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9631378Z                 'code': None,
2022-11-23T01:32:31.9631589Z                 'obj_weakref': <weakref at 0x7f1fd9a5b6a0; to 'Tensor' at 0x7f2068297380>
2022-11-23T01:32:31.9631837Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9631908Z             }
2022-11-23T01:32:31.9631975Z             
2022-11-23T01:32:31.9632043Z  - 
2022-11-23T01:32:31.9632176Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9632246Z             {
2022-11-23T01:32:31.9632383Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9632558Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9632678Z                 'obj_weakref': None
2022-11-23T01:32:31.9632904Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9632966Z             }
2022-11-23T01:32:31.9633034Z             
2022-11-23T01:32:31.9633108Z  - 
2022-11-23T01:32:31.9633231Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9633298Z             {
2022-11-23T01:32:31.9633436Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9633643Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9633767Z                 'obj_weakref': None
2022-11-23T01:32:31.9633987Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9634054Z             }
2022-11-23T01:32:31.9634125Z             
2022-11-23T01:32:31.9634198Z  - 
2022-11-23T01:32:31.9634331Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9634392Z             {
2022-11-23T01:32:31.9634514Z                 'guard_types': None,
2022-11-23T01:32:31.9634623Z                 'code': None,
2022-11-23T01:32:31.9634748Z                 'obj_weakref': None
2022-11-23T01:32:31.9634872Z                 'guarded_class': None
2022-11-23T01:32:31.9634939Z             }
2022-11-23T01:32:31.9635005Z             
2022-11-23T01:32:31.9635257Z [2022-11-23 01:30:11,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 650
2022-11-23T01:32:31.9635504Z [2022-11-23 01:30:11,453] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9635745Z [2022-11-23 01:30:11,457] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9636136Z [2022-11-23 01:30:11,542] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n4/cn4jbribb6yhxg5ddamidh32e3bm7v3qvllcotrs75eibjtbmemz.py
2022-11-23T01:32:31.9636418Z [2022-11-23 01:30:11,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 650
2022-11-23T01:32:31.9636424Z 
2022-11-23T01:32:31.9636523Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9636601Z import torch
2022-11-23T01:32:31.9636674Z import random
2022-11-23T01:32:31.9636795Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9636914Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9636920Z 
2022-11-23T01:32:31.9637002Z aten = torch.ops.aten
2022-11-23T01:32:31.9637142Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9637239Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9637244Z 
2022-11-23T01:32:31.9637317Z import triton
2022-11-23T01:32:31.9637411Z import triton.language as tl
2022-11-23T01:32:31.9637539Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9637676Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9637689Z 
2022-11-23T01:32:31.9637694Z 
2022-11-23T01:32:31.9637866Z triton_fused_reflection_pad2d0 = async_compile.triton('''
2022-11-23T01:32:31.9637940Z import triton
2022-11-23T01:32:31.9638032Z import triton.language as tl
2022-11-23T01:32:31.9638145Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9638248Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9638381Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9638505Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9638511Z 
2022-11-23T01:32:31.9638871Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9638946Z @triton.jit
2022-11-23T01:32:31.9639084Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9639159Z     xnumel = 100
2022-11-23T01:32:31.9639255Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9639385Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9639467Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9639547Z     x1 = (xindex // 10)
2022-11-23T01:32:31.9639616Z     x0 = xindex % 10
2022-11-23T01:32:31.9639686Z     x2 = xindex
2022-11-23T01:32:31.9639758Z     tmp0 = 7
2022-11-23T01:32:31.9639828Z     tmp1 = x1
2022-11-23T01:32:31.9639897Z     tmp2 = 1
2022-11-23T01:32:31.9640005Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:31.9640078Z     tmp4 = tl.abs(tmp3)
2022-11-23T01:32:31.9640186Z     tmp5 = tmp0 - tmp4
2022-11-23T01:32:31.9640264Z     tmp6 = tl.abs(tmp5)
2022-11-23T01:32:31.9640370Z     tmp7 = tmp0 - tmp6
2022-11-23T01:32:31.9640440Z     tmp8 = x0
2022-11-23T01:32:31.9640546Z     tmp9 = tmp8 - tmp2
2022-11-23T01:32:31.9640625Z     tmp10 = tl.abs(tmp9)
2022-11-23T01:32:31.9640734Z     tmp11 = tmp0 - tmp10
2022-11-23T01:32:31.9640819Z     tmp12 = tl.abs(tmp11)
2022-11-23T01:32:31.9640930Z     tmp13 = tmp0 - tmp12
2022-11-23T01:32:31.9641080Z     tmp14 = tl.load(in_ptr0 + (tmp13 + (8*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.9641216Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.9641301Z ''')
2022-11-23T01:32:31.9641307Z 
2022-11-23T01:32:31.9641311Z 
2022-11-23T01:32:31.9641490Z triton_fused_reflection_pad2d_11 = async_compile.triton('''
2022-11-23T01:32:31.9641558Z import triton
2022-11-23T01:32:31.9641650Z import triton.language as tl
2022-11-23T01:32:31.9641765Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9641867Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9641999Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9642126Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9642131Z 
2022-11-23T01:32:31.9642525Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9642620Z @triton.jit
2022-11-23T01:32:31.9642747Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9642822Z     xnumel = 165
2022-11-23T01:32:31.9642916Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9643046Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9643131Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9643209Z     x1 = (xindex // 11)
2022-11-23T01:32:31.9643285Z     x0 = xindex % 11
2022-11-23T01:32:31.9643349Z     x2 = xindex
2022-11-23T01:32:31.9643416Z     tmp0 = 7
2022-11-23T01:32:31.9643486Z     tmp1 = x1
2022-11-23T01:32:31.9643555Z     tmp2 = 3
2022-11-23T01:32:31.9643666Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:31.9643745Z     tmp4 = tl.abs(tmp3)
2022-11-23T01:32:31.9643855Z     tmp5 = tmp0 - tmp4
2022-11-23T01:32:31.9643929Z     tmp6 = tl.abs(tmp5)
2022-11-23T01:32:31.9644035Z     tmp7 = tmp0 - tmp6
2022-11-23T01:32:31.9644106Z     tmp8 = x0
2022-11-23T01:32:31.9644176Z     tmp9 = 1
2022-11-23T01:32:31.9644284Z     tmp10 = tmp8 - tmp9
2022-11-23T01:32:31.9644368Z     tmp11 = tl.abs(tmp10)
2022-11-23T01:32:31.9644475Z     tmp12 = tmp0 - tmp11
2022-11-23T01:32:31.9644556Z     tmp13 = tl.abs(tmp12)
2022-11-23T01:32:31.9644668Z     tmp14 = tmp0 - tmp13
2022-11-23T01:32:31.9644816Z     tmp15 = tl.load(in_ptr0 + (tmp14 + (8*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:31.9644955Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.9645042Z ''')
2022-11-23T01:32:31.9645047Z 
2022-11-23T01:32:31.9645052Z 
2022-11-23T01:32:31.9645145Z async_compile.wait(globals())
2022-11-23T01:32:31.9645221Z del async_compile
2022-11-23T01:32:31.9645226Z 
2022-11-23T01:32:31.9645293Z def call(args):
2022-11-23T01:32:31.9645370Z     arg0_1, = args
2022-11-23T01:32:31.9645445Z     args.clear()
2022-11-23T01:32:31.9645669Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9645761Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9645911Z     triton_fused_reflection_pad2d0.run(arg0_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.9646129Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9646273Z     triton_fused_reflection_pad2d_11.run(arg0_1, buf1, 165, grid=grid(165), stream=stream0)
2022-11-23T01:32:31.9646346Z     del arg0_1
2022-11-23T01:32:31.9646427Z     return (buf0, buf1, )
2022-11-23T01:32:31.9646432Z 
2022-11-23T01:32:31.9646436Z 
2022-11-23T01:32:31.9646517Z if __name__ == "__main__":
2022-11-23T01:32:31.9646638Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9646766Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9646979Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9647096Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9647101Z 
2022-11-23T01:32:31.9647106Z 
2022-11-23T01:32:31.9647203Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9647270Z import torch
2022-11-23T01:32:31.9647346Z import random
2022-11-23T01:32:31.9647466Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9647591Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9647596Z 
2022-11-23T01:32:31.9647679Z aten = torch.ops.aten
2022-11-23T01:32:31.9647816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9647911Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9647916Z 
2022-11-23T01:32:31.9647983Z import triton
2022-11-23T01:32:31.9648074Z import triton.language as tl
2022-11-23T01:32:31.9648200Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9648370Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9648403Z 
2022-11-23T01:32:31.9648407Z 
2022-11-23T01:32:31.9648589Z triton_fused_reflection_pad2d0 = async_compile.triton('''
2022-11-23T01:32:31.9648663Z import triton
2022-11-23T01:32:31.9648756Z import triton.language as tl
2022-11-23T01:32:31.9648869Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9648964Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9649096Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9649222Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9649227Z 
2022-11-23T01:32:31.9649595Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9649669Z @triton.jit
2022-11-23T01:32:31.9649802Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9649879Z     xnumel = 100
2022-11-23T01:32:31.9649978Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9650102Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9650185Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9650266Z     x1 = (xindex // 10)
2022-11-23T01:32:31.9650340Z     x0 = xindex % 10
2022-11-23T01:32:31.9650412Z     x2 = xindex
2022-11-23T01:32:31.9650483Z     tmp0 = 7
2022-11-23T01:32:31.9650547Z     tmp1 = x1
2022-11-23T01:32:31.9650616Z     tmp2 = 1
2022-11-23T01:32:31.9650725Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:31.9650804Z     tmp4 = tl.abs(tmp3)
2022-11-23T01:32:31.9650911Z     tmp5 = tmp0 - tmp4
2022-11-23T01:32:31.9650988Z     tmp6 = tl.abs(tmp5)
2022-11-23T01:32:31.9651094Z     tmp7 = tmp0 - tmp6
2022-11-23T01:32:31.9651158Z     tmp8 = x0
2022-11-23T01:32:31.9651263Z     tmp9 = tmp8 - tmp2
2022-11-23T01:32:31.9651345Z     tmp10 = tl.abs(tmp9)
2022-11-23T01:32:31.9651458Z     tmp11 = tmp0 - tmp10
2022-11-23T01:32:31.9651544Z     tmp12 = tl.abs(tmp11)
2022-11-23T01:32:31.9651656Z     tmp13 = tmp0 - tmp12
2022-11-23T01:32:31.9651827Z     tmp14 = tl.load(in_ptr0 + (tmp13 + (8*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.9651957Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp14, xmask)
2022-11-23T01:32:31.9652041Z ''')
2022-11-23T01:32:31.9652046Z 
2022-11-23T01:32:31.9652050Z 
2022-11-23T01:32:31.9652231Z triton_fused_reflection_pad2d_11 = async_compile.triton('''
2022-11-23T01:32:31.9652306Z import triton
2022-11-23T01:32:31.9652400Z import triton.language as tl
2022-11-23T01:32:31.9652528Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9652640Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9652792Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9652920Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9652925Z 
2022-11-23T01:32:31.9653294Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:31.9653371Z @triton.jit
2022-11-23T01:32:31.9653507Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9653582Z     xnumel = 165
2022-11-23T01:32:31.9653677Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9653808Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9653884Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9653963Z     x1 = (xindex // 11)
2022-11-23T01:32:31.9654037Z     x0 = xindex % 11
2022-11-23T01:32:31.9654107Z     x2 = xindex
2022-11-23T01:32:31.9654178Z     tmp0 = 7
2022-11-23T01:32:31.9654247Z     tmp1 = x1
2022-11-23T01:32:31.9654317Z     tmp2 = 3
2022-11-23T01:32:31.9654419Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:31.9654497Z     tmp4 = tl.abs(tmp3)
2022-11-23T01:32:31.9654602Z     tmp5 = tmp0 - tmp4
2022-11-23T01:32:31.9654709Z     tmp6 = tl.abs(tmp5)
2022-11-23T01:32:31.9654815Z     tmp7 = tmp0 - tmp6
2022-11-23T01:32:31.9654907Z     tmp8 = x0
2022-11-23T01:32:31.9654971Z     tmp9 = 1
2022-11-23T01:32:31.9655078Z     tmp10 = tmp8 - tmp9
2022-11-23T01:32:31.9655161Z     tmp11 = tl.abs(tmp10)
2022-11-23T01:32:31.9655271Z     tmp12 = tmp0 - tmp11
2022-11-23T01:32:31.9655354Z     tmp13 = tl.abs(tmp12)
2022-11-23T01:32:31.9655464Z     tmp14 = tmp0 - tmp13
2022-11-23T01:32:31.9655626Z     tmp15 = tl.load(in_ptr0 + (tmp14 + (8*tmp7) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:31.9655756Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.9655845Z ''')
2022-11-23T01:32:31.9655850Z 
2022-11-23T01:32:31.9655855Z 
2022-11-23T01:32:31.9655948Z async_compile.wait(globals())
2022-11-23T01:32:31.9656027Z del async_compile
2022-11-23T01:32:31.9656032Z 
2022-11-23T01:32:31.9656108Z def call(args):
2022-11-23T01:32:31.9656182Z     arg0_1, = args
2022-11-23T01:32:31.9656257Z     args.clear()
2022-11-23T01:32:31.9656478Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9656565Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9656718Z     triton_fused_reflection_pad2d0.run(arg0_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:31.9656935Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9657086Z     triton_fused_reflection_pad2d_11.run(arg0_1, buf1, 165, grid=grid(165), stream=stream0)
2022-11-23T01:32:31.9657159Z     del arg0_1
2022-11-23T01:32:31.9657240Z     return (buf0, buf1, )
2022-11-23T01:32:31.9657245Z 
2022-11-23T01:32:31.9657249Z 
2022-11-23T01:32:31.9657328Z if __name__ == "__main__":
2022-11-23T01:32:31.9657446Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9657566Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9657780Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9657893Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9657898Z 
2022-11-23T01:32:31.9657970Z ok (0.274s)
2022-11-23T01:32:31.9658273Z   test_relu_cuda (__main__.CudaTests) ... [2022-11-23 01:30:11,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9658585Z [2022-11-23 01:30:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9658910Z [2022-11-23 01:30:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9659166Z [2022-11-23 01:30:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9659441Z [2022-11-23 01:30:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9659752Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9660094Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9660411Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9660774Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994> 
2022-11-23T01:32:31.9660879Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9660977Z               2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:31.9661077Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9661169Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9661316Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9661435Z              10 LOAD_METHOD              1 (relu)
2022-11-23T01:32:31.9661530Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9661626Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9661703Z              16 BINARY_ADD
2022-11-23T01:32:31.9661795Z              18 CALL_METHOD              1
2022-11-23T01:32:31.9661896Z              20 LOAD_CONST               1 (10)
2022-11-23T01:32:31.9661982Z              22 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.9662068Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9662152Z              26 RETURN_VALUE
2022-11-23T01:32:31.9662218Z  
2022-11-23T01:32:31.9662225Z 
2022-11-23T01:32:31.9662584Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995
2022-11-23T01:32:31.9662805Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9663169Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9663484Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9663828Z [2022-11-23 01:30:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9664076Z [2022-11-23 01:30:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9664458Z [2022-11-23 01:30:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9664791Z [2022-11-23 01:30:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9665155Z [2022-11-23 01:30:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9665551Z [2022-11-23 01:30:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9665918Z [2022-11-23 01:30:11,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9666188Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9666503Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9666764Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9667008Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9667373Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994>
2022-11-23T01:32:31.9667617Z [2022-11-23 01:30:11,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9667849Z [2022-11-23 01:30:11,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9668123Z [2022-11-23 01:30:11,554] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9668393Z [2022-11-23 01:30:11,558] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9668587Z [2022-11-23 01:30:11,558] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9668728Z  __compiled_fn_668 <eval_with_key>.4131 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9668822Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9668914Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9669138Z call_function, relu, <built-in method relu of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.9669317Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.9669532Z call_function, relu_1, <built-in method relu of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.9669725Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T01:32:31.9669840Z output, output, output, ((relu, truediv),), {}
2022-11-23T01:32:31.9669847Z 
2022-11-23T01:32:31.9676008Z [2022-11-23 01:30:11,558] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9676130Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9676229Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9676330Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9676433Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9676520Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9676617Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9676701Z              12 RETURN_VALUE
2022-11-23T01:32:31.9676706Z 
2022-11-23T01:32:31.9676772Z  
2022-11-23T01:32:31.9677116Z [2022-11-23 01:30:11,558] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9677233Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_668)
2022-11-23T01:32:31.9677333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9677428Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9677504Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9677599Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9677693Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9677772Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9677866Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9677976Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9678083Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9678171Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9678251Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9678361Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9678457Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9678540Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9678632Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.9678711Z              32 RETURN_VALUE
2022-11-23T01:32:31.9678717Z 
2022-11-23T01:32:31.9678776Z  
2022-11-23T01:32:31.9678965Z [2022-11-23 01:30:11,559] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9679040Z  - 
2022-11-23T01:32:31.9679163Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9679232Z             {
2022-11-23T01:32:31.9679376Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9679561Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9679678Z                 'obj_weakref': None
2022-11-23T01:32:31.9679904Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9679974Z             }
2022-11-23T01:32:31.9680043Z             
2022-11-23T01:32:31.9680181Z  - 
2022-11-23T01:32:31.9680311Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9680414Z             {
2022-11-23T01:32:31.9680553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9680666Z                 'code': None,
2022-11-23T01:32:31.9680879Z                 'obj_weakref': <weakref at 0x7f1fe035ad40; to 'Tensor' at 0x7f201e6c1210>
2022-11-23T01:32:31.9681128Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9681196Z             }
2022-11-23T01:32:31.9681265Z             
2022-11-23T01:32:31.9681339Z  - 
2022-11-23T01:32:31.9681460Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9681528Z             {
2022-11-23T01:32:31.9681675Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9681788Z                 'code': None,
2022-11-23T01:32:31.9682000Z                 'obj_weakref': <weakref at 0x7f1fe035be20; to 'Tensor' at 0x7f2068243470>
2022-11-23T01:32:31.9682252Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9682324Z             }
2022-11-23T01:32:31.9682387Z             
2022-11-23T01:32:31.9682467Z  - 
2022-11-23T01:32:31.9682610Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9682694Z             {
2022-11-23T01:32:31.9682851Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9683033Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9683155Z                 'obj_weakref': None
2022-11-23T01:32:31.9683379Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9683449Z             }
2022-11-23T01:32:31.9683517Z             
2022-11-23T01:32:31.9683591Z  - 
2022-11-23T01:32:31.9683715Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9683784Z             {
2022-11-23T01:32:31.9683927Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9684137Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9684262Z                 'obj_weakref': None
2022-11-23T01:32:31.9684481Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9684548Z             }
2022-11-23T01:32:31.9684616Z             
2022-11-23T01:32:31.9684691Z  - 
2022-11-23T01:32:31.9684826Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9684888Z             {
2022-11-23T01:32:31.9685011Z                 'guard_types': None,
2022-11-23T01:32:31.9685121Z                 'code': None,
2022-11-23T01:32:31.9685244Z                 'obj_weakref': None
2022-11-23T01:32:31.9685367Z                 'guarded_class': None
2022-11-23T01:32:31.9685435Z             }
2022-11-23T01:32:31.9685502Z             
2022-11-23T01:32:31.9685760Z [2022-11-23 01:30:11,566] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 651
2022-11-23T01:32:31.9686052Z [2022-11-23 01:30:11,573] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9686413Z [2022-11-23 01:30:11,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ut/cut6ero2hiuta3nop7vrgn6sawg42juwjdhzmisgiiw7upmg3ucd.py
2022-11-23T01:32:31.9686675Z [2022-11-23 01:30:11,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 651
2022-11-23T01:32:31.9686911Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9687219Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9687437Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9687713Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9688005Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9688318Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9688650Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9688967Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9689331Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994> 
2022-11-23T01:32:31.9689433Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9689535Z               2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:31.9689633Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9689726Z               6 CALL_METHOD              1
2022-11-23T01:32:31.9689825Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9689915Z              10 LOAD_METHOD              1 (relu)
2022-11-23T01:32:31.9690011Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9690104Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9690183Z              16 BINARY_ADD
2022-11-23T01:32:31.9690275Z              18 CALL_METHOD              1
2022-11-23T01:32:31.9690372Z              20 LOAD_CONST               1 (10)
2022-11-23T01:32:31.9690457Z              22 BINARY_TRUE_DIVIDE
2022-11-23T01:32:31.9690544Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9690626Z              26 RETURN_VALUE
2022-11-23T01:32:31.9690691Z  
2022-11-23T01:32:31.9690699Z 
2022-11-23T01:32:31.9691013Z [2022-11-23 01:30:11,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995
2022-11-23T01:32:31.9691235Z [2022-11-23 01:30:11,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9691591Z [2022-11-23 01:30:11,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9691905Z [2022-11-23 01:30:11,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9692248Z [2022-11-23 01:30:11,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9692521Z [2022-11-23 01:30:11,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9692929Z [2022-11-23 01:30:11,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9693267Z [2022-11-23 01:30:11,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9693622Z [2022-11-23 01:30:11,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9694018Z [2022-11-23 01:30:11,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9694413Z [2022-11-23 01:30:11,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9694695Z [2022-11-23 01:30:11,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9695008Z [2022-11-23 01:30:11,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9695269Z [2022-11-23 01:30:11,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9695513Z [2022-11-23 01:30:11,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9695877Z [2022-11-23 01:30:11,649] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994>
2022-11-23T01:32:31.9696123Z [2022-11-23 01:30:11,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9696359Z [2022-11-23 01:30:11,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9696610Z [2022-11-23 01:30:11,650] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9696854Z [2022-11-23 01:30:11,654] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9697044Z [2022-11-23 01:30:11,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9697187Z  __compiled_fn_669 <eval_with_key>.4137 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9697283Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9697376Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9697598Z call_function, relu, <built-in method relu of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.9697781Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.9698006Z call_function, relu_1, <built-in method relu of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.9698190Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T01:32:31.9698303Z output, output, output, ((relu, truediv),), {}
2022-11-23T01:32:31.9698308Z 
2022-11-23T01:32:31.9698633Z [2022-11-23 01:30:11,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9698732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9699072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9699170Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9699271Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9699364Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9699453Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9699539Z              12 RETURN_VALUE
2022-11-23T01:32:31.9699547Z 
2022-11-23T01:32:31.9699614Z  
2022-11-23T01:32:31.9699934Z [2022-11-23 01:30:11,655] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9700052Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_669)
2022-11-23T01:32:31.9700150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9700245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9700321Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9700419Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9700513Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9700594Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9700686Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9700799Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9700959Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9701080Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9701156Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9701265Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9701361Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9701443Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9701536Z              30 BUILD_TUPLE              2
2022-11-23T01:32:31.9701617Z              32 RETURN_VALUE
2022-11-23T01:32:31.9701623Z 
2022-11-23T01:32:31.9701689Z  
2022-11-23T01:32:31.9701871Z [2022-11-23 01:30:11,656] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9701946Z  - 
2022-11-23T01:32:31.9702068Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9702138Z             {
2022-11-23T01:32:31.9702283Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9702472Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9702599Z                 'obj_weakref': None
2022-11-23T01:32:31.9702820Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9702888Z             }
2022-11-23T01:32:31.9702957Z             
2022-11-23T01:32:31.9703033Z  - 
2022-11-23T01:32:31.9703162Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9703233Z             {
2022-11-23T01:32:31.9703380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9703485Z                 'code': None,
2022-11-23T01:32:31.9703700Z                 'obj_weakref': <weakref at 0x7f1feadc1170; to 'Tensor' at 0x7f1fd80edda0>
2022-11-23T01:32:31.9703951Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9704021Z             }
2022-11-23T01:32:31.9704089Z             
2022-11-23T01:32:31.9704167Z  - 
2022-11-23T01:32:31.9704293Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9704357Z             {
2022-11-23T01:32:31.9704503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9704617Z                 'code': None,
2022-11-23T01:32:31.9704828Z                 'obj_weakref': <weakref at 0x7f1feadc0090; to 'Tensor' at 0x7f2068297380>
2022-11-23T01:32:31.9705077Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9705145Z             }
2022-11-23T01:32:31.9705214Z             
2022-11-23T01:32:31.9705283Z  - 
2022-11-23T01:32:31.9705417Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9705487Z             {
2022-11-23T01:32:31.9705626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9705800Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9705926Z                 'obj_weakref': None
2022-11-23T01:32:31.9706156Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9706221Z             }
2022-11-23T01:32:31.9706292Z             
2022-11-23T01:32:31.9706368Z  - 
2022-11-23T01:32:31.9706493Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9706562Z             {
2022-11-23T01:32:31.9706701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9706917Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9707034Z                 'obj_weakref': None
2022-11-23T01:32:31.9707257Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9707325Z             }
2022-11-23T01:32:31.9707392Z             
2022-11-23T01:32:31.9707466Z  - 
2022-11-23T01:32:31.9707602Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9707670Z             {
2022-11-23T01:32:31.9707787Z                 'guard_types': None,
2022-11-23T01:32:31.9707897Z                 'code': None,
2022-11-23T01:32:31.9708048Z                 'obj_weakref': None
2022-11-23T01:32:31.9708174Z                 'guarded_class': None
2022-11-23T01:32:31.9708267Z             }
2022-11-23T01:32:31.9708336Z             
2022-11-23T01:32:31.9708601Z [2022-11-23 01:30:11,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 652
2022-11-23T01:32:31.9708884Z [2022-11-23 01:30:11,669] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9709243Z [2022-11-23 01:30:11,736] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3kbbnjhcxt2upfizetrwrd5fgv2vid3zb7kn7a3l2efjbagdpq3.py
2022-11-23T01:32:31.9709506Z [2022-11-23 01:30:11,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 652
2022-11-23T01:32:31.9709512Z 
2022-11-23T01:32:31.9709611Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9709685Z import torch
2022-11-23T01:32:31.9709759Z import random
2022-11-23T01:32:31.9709883Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9710012Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9710017Z 
2022-11-23T01:32:31.9710094Z aten = torch.ops.aten
2022-11-23T01:32:31.9710235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9710414Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9710421Z 
2022-11-23T01:32:31.9710521Z import triton
2022-11-23T01:32:31.9710617Z import triton.language as tl
2022-11-23T01:32:31.9710743Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9710885Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9710890Z 
2022-11-23T01:32:31.9710895Z 
2022-11-23T01:32:31.9711079Z triton_fused_relu_add_div_relu_10 = async_compile.triton('''
2022-11-23T01:32:31.9711148Z import triton
2022-11-23T01:32:31.9711242Z import triton.language as tl
2022-11-23T01:32:31.9711357Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9711464Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9711603Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9711730Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9711736Z 
2022-11-23T01:32:31.9712138Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9712211Z @triton.jit
2022-11-23T01:32:31.9712360Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9712435Z     xnumel = 64
2022-11-23T01:32:31.9712534Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9712666Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9712754Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9712825Z     x0 = xindex
2022-11-23T01:32:31.9712925Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.9713017Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.9713108Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.9713188Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.9713275Z     tmp4 = tl.maximum(0, tmp3)
2022-11-23T01:32:31.9713345Z     tmp5 = 10
2022-11-23T01:32:31.9713424Z     tmp6 = tmp4 / tmp5
2022-11-23T01:32:31.9713563Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.9713692Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.9713779Z ''')
2022-11-23T01:32:31.9713784Z 
2022-11-23T01:32:31.9713789Z 
2022-11-23T01:32:31.9713881Z async_compile.wait(globals())
2022-11-23T01:32:31.9713956Z del async_compile
2022-11-23T01:32:31.9713961Z 
2022-11-23T01:32:31.9714037Z def call(args):
2022-11-23T01:32:31.9714116Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9714192Z     args.clear()
2022-11-23T01:32:31.9714425Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9714625Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9714739Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9714904Z     triton_fused_relu_add_div_relu_10.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9714978Z     del arg0_1
2022-11-23T01:32:31.9715052Z     del arg1_1
2022-11-23T01:32:31.9715134Z     return (buf0, buf1, )
2022-11-23T01:32:31.9715139Z 
2022-11-23T01:32:31.9715144Z 
2022-11-23T01:32:31.9715224Z if __name__ == "__main__":
2022-11-23T01:32:31.9715338Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9715466Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9715665Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9715865Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9715989Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9715994Z 
2022-11-23T01:32:31.9716001Z 
2022-11-23T01:32:31.9716099Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9716172Z import torch
2022-11-23T01:32:31.9716250Z import random
2022-11-23T01:32:31.9716364Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9716490Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9716495Z 
2022-11-23T01:32:31.9716578Z aten = torch.ops.aten
2022-11-23T01:32:31.9716717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9716814Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9716819Z 
2022-11-23T01:32:31.9716892Z import triton
2022-11-23T01:32:31.9716985Z import triton.language as tl
2022-11-23T01:32:31.9717112Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9717247Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9717253Z 
2022-11-23T01:32:31.9717257Z 
2022-11-23T01:32:31.9717442Z triton_fused_relu_div_relu_1_add0 = async_compile.triton('''
2022-11-23T01:32:31.9717519Z import triton
2022-11-23T01:32:31.9717612Z import triton.language as tl
2022-11-23T01:32:31.9717726Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9717830Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9717965Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9718086Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9718097Z 
2022-11-23T01:32:31.9718489Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:31.9718565Z @triton.jit
2022-11-23T01:32:31.9718720Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9718793Z     xnumel = 64
2022-11-23T01:32:31.9718894Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9719026Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9719114Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9719179Z     x0 = xindex
2022-11-23T01:32:31.9719298Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9719415Z     tmp2 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9719504Z     tmp1 = tl.maximum(0, tmp0)
2022-11-23T01:32:31.9719583Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:31.9719671Z     tmp4 = tl.maximum(0, tmp3)
2022-11-23T01:32:31.9719742Z     tmp5 = 10
2022-11-23T01:32:31.9719814Z     tmp6 = tmp4 / tmp5
2022-11-23T01:32:31.9719951Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.9720088Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.9720176Z ''')
2022-11-23T01:32:31.9720181Z 
2022-11-23T01:32:31.9720186Z 
2022-11-23T01:32:31.9720278Z async_compile.wait(globals())
2022-11-23T01:32:31.9720389Z del async_compile
2022-11-23T01:32:31.9720395Z 
2022-11-23T01:32:31.9720519Z def call(args):
2022-11-23T01:32:31.9720597Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9720668Z     args.clear()
2022-11-23T01:32:31.9720862Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9721059Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9721148Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9721316Z     triton_fused_relu_div_relu_1_add0.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9721390Z     del arg0_1
2022-11-23T01:32:31.9721462Z     del arg1_1
2022-11-23T01:32:31.9721538Z     return (buf0, buf1, )
2022-11-23T01:32:31.9721544Z 
2022-11-23T01:32:31.9721555Z 
2022-11-23T01:32:31.9721630Z if __name__ == "__main__":
2022-11-23T01:32:31.9721749Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9721881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9722079Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9722275Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9722394Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9722399Z 
2022-11-23T01:32:31.9722470Z ok (0.194s)
2022-11-23T01:32:31.9722793Z   test_remainder_cuda (__main__.CudaTests) ... [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9723140Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9723360Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9723616Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9723894Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9724212Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9724552Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9724871Z [2022-11-23 01:30:11,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9725239Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759> 
2022-11-23T01:32:31.9725342Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9725445Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9725546Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9725643Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9725738Z                8 CALL_METHOD              2
2022-11-23T01:32:31.9725743Z 
2022-11-23T01:32:31.9725843Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9725946Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9726047Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9726142Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9726214Z               18 BINARY_ADD
2022-11-23T01:32:31.9726308Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9726400Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9726486Z               24 BINARY_SUBTRACT
2022-11-23T01:32:31.9726579Z               26 CALL_METHOD              2
2022-11-23T01:32:31.9726584Z 
2022-11-23T01:32:31.9726710Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9726842Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9726929Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9727022Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9727108Z               36 BINARY_SUBTRACT
2022-11-23T01:32:31.9727203Z               38 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9727296Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9727376Z               42 BINARY_ADD
2022-11-23T01:32:31.9727469Z               44 CALL_METHOD              2
2022-11-23T01:32:31.9727474Z 
2022-11-23T01:32:31.9727568Z 2760          46 BUILD_TUPLE              3
2022-11-23T01:32:31.9727643Z               48 RETURN_VALUE
2022-11-23T01:32:31.9727711Z  
2022-11-23T01:32:31.9727716Z 
2022-11-23T01:32:31.9728036Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761
2022-11-23T01:32:31.9728258Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9728625Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9728949Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9729294Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9729670Z [2022-11-23 01:30:11,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9729983Z [2022-11-23 01:30:11,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762
2022-11-23T01:32:31.9730235Z [2022-11-23 01:30:11,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9730619Z [2022-11-23 01:30:11,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9730975Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9731349Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9731765Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9732137Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9732554Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9733033Z [2022-11-23 01:30:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9733465Z [2022-11-23 01:30:11,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9733794Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763
2022-11-23T01:32:31.9734066Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9734485Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9734856Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9735258Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9735705Z [2022-11-23 01:30:11,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9736105Z [2022-11-23 01:30:11,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9736531Z [2022-11-23 01:30:11,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9736997Z [2022-11-23 01:30:11,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9737417Z [2022-11-23 01:30:11,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9737727Z [2022-11-23 01:30:11,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760
2022-11-23T01:32:31.9738025Z [2022-11-23 01:30:11,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9738273Z [2022-11-23 01:30:11,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9738644Z [2022-11-23 01:30:11,749] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759>
2022-11-23T01:32:31.9739021Z [2022-11-23 01:30:11,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9739260Z [2022-11-23 01:30:11,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9739516Z [2022-11-23 01:30:11,750] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9739770Z [2022-11-23 01:30:11,755] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9739965Z [2022-11-23 01:30:11,755] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9740100Z  __compiled_fn_670 <eval_with_key>.4143 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9740239Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9740334Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9740617Z call_function, remainder, <built-in method remainder of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.9740795Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.9740969Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T01:32:31.9741219Z call_function, remainder_1, <built-in method remainder of type object at 0x7f209c394c60>, (add, sub), {}
2022-11-23T01:32:31.9741394Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:31.9741562Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.9741816Z call_function, remainder_2, <built-in method remainder of type object at 0x7f209c394c60>, (sub_1, add_1), {}
2022-11-23T01:32:31.9741960Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T01:32:31.9741966Z 
2022-11-23T01:32:31.9742299Z [2022-11-23 01:30:11,755] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9742425Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9742537Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9742640Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9742740Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9742825Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9742921Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9743002Z              12 RETURN_VALUE
2022-11-23T01:32:31.9743007Z 
2022-11-23T01:32:31.9743073Z  
2022-11-23T01:32:31.9743389Z [2022-11-23 01:30:11,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9743508Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_670)
2022-11-23T01:32:31.9743607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9743706Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9743783Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9743881Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9743976Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9744058Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9744151Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9744261Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9744370Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9744460Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9744544Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9744652Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9744747Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9744827Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9744935Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9745033Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9745108Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9745202Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.9745282Z              38 RETURN_VALUE
2022-11-23T01:32:31.9745287Z 
2022-11-23T01:32:31.9745353Z  
2022-11-23T01:32:31.9745540Z [2022-11-23 01:30:11,756] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9745617Z  - 
2022-11-23T01:32:31.9745741Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9745804Z             {
2022-11-23T01:32:31.9745947Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9746140Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9746263Z                 'obj_weakref': None
2022-11-23T01:32:31.9746487Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9746588Z             }
2022-11-23T01:32:31.9746677Z             
2022-11-23T01:32:31.9746747Z  - 
2022-11-23T01:32:31.9746876Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9746945Z             {
2022-11-23T01:32:31.9747092Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9747204Z                 'code': None,
2022-11-23T01:32:31.9747422Z                 'obj_weakref': <weakref at 0x7f201e37b880; to 'Tensor' at 0x7f1fd80ec720>
2022-11-23T01:32:31.9747669Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9747738Z             }
2022-11-23T01:32:31.9747801Z             
2022-11-23T01:32:31.9747876Z  - 
2022-11-23T01:32:31.9748003Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9748070Z             {
2022-11-23T01:32:31.9748215Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9748325Z                 'code': None,
2022-11-23T01:32:31.9748530Z                 'obj_weakref': <weakref at 0x7f201e3798a0; to 'Tensor' at 0x7f201e6c36f0>
2022-11-23T01:32:31.9748782Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9748851Z             }
2022-11-23T01:32:31.9748917Z             
2022-11-23T01:32:31.9748991Z  - 
2022-11-23T01:32:31.9749127Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9749196Z             {
2022-11-23T01:32:31.9749328Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9749502Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9749625Z                 'obj_weakref': None
2022-11-23T01:32:31.9749854Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9749923Z             }
2022-11-23T01:32:31.9749990Z             
2022-11-23T01:32:31.9750065Z  - 
2022-11-23T01:32:31.9750184Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9750319Z             {
2022-11-23T01:32:31.9750481Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9750733Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9750875Z                 'obj_weakref': None
2022-11-23T01:32:31.9751115Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9751190Z             }
2022-11-23T01:32:31.9751251Z             
2022-11-23T01:32:31.9751327Z  - 
2022-11-23T01:32:31.9751467Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9751536Z             {
2022-11-23T01:32:31.9751661Z                 'guard_types': None,
2022-11-23T01:32:31.9751772Z                 'code': None,
2022-11-23T01:32:31.9751894Z                 'obj_weakref': None
2022-11-23T01:32:31.9752013Z                 'guarded_class': None
2022-11-23T01:32:31.9752082Z             }
2022-11-23T01:32:31.9752150Z             
2022-11-23T01:32:31.9752456Z [2022-11-23 01:30:11,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 653
2022-11-23T01:32:31.9752801Z [2022-11-23 01:30:11,775] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.9753162Z [2022-11-23 01:30:11,859] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5t/c5tnf32kj3uidhrywapwcmxnl3nogkavthbv4biipsnmrs7a6w6a.py
2022-11-23T01:32:31.9753426Z [2022-11-23 01:30:11,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 653
2022-11-23T01:32:31.9753662Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9753974Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9754218Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9754489Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9754768Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9755083Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9755420Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9755737Z [2022-11-23 01:30:11,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9756105Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759> 
2022-11-23T01:32:31.9756213Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9756321Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9756413Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9756510Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9756606Z                8 CALL_METHOD              2
2022-11-23T01:32:31.9756612Z 
2022-11-23T01:32:31.9756712Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9756817Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9756914Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9757009Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9757088Z               18 BINARY_ADD
2022-11-23T01:32:31.9757176Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9757272Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9757357Z               24 BINARY_SUBTRACT
2022-11-23T01:32:31.9757453Z               26 CALL_METHOD              2
2022-11-23T01:32:31.9757458Z 
2022-11-23T01:32:31.9757556Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9757661Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:31.9757754Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9757840Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9757926Z               36 BINARY_SUBTRACT
2022-11-23T01:32:31.9758020Z               38 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9758112Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9758190Z               42 BINARY_ADD
2022-11-23T01:32:31.9758283Z               44 CALL_METHOD              2
2022-11-23T01:32:31.9758288Z 
2022-11-23T01:32:31.9758381Z 2760          46 BUILD_TUPLE              3
2022-11-23T01:32:31.9758463Z               48 RETURN_VALUE
2022-11-23T01:32:31.9758525Z  
2022-11-23T01:32:31.9758530Z 
2022-11-23T01:32:31.9758843Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761
2022-11-23T01:32:31.9759066Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9759433Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9759753Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9760099Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9760503Z [2022-11-23 01:30:11,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9760835Z [2022-11-23 01:30:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762
2022-11-23T01:32:31.9761082Z [2022-11-23 01:30:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9761475Z [2022-11-23 01:30:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9761826Z [2022-11-23 01:30:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9762192Z [2022-11-23 01:30:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9762609Z [2022-11-23 01:30:11,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9763026Z [2022-11-23 01:30:11,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9763422Z [2022-11-23 01:30:11,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9763870Z [2022-11-23 01:30:11,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9764277Z [2022-11-23 01:30:11,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9764585Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763
2022-11-23T01:32:31.9764857Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9765272Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9765645Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9766043Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9766489Z [2022-11-23 01:30:11,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9766885Z [2022-11-23 01:30:11,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9767336Z [2022-11-23 01:30:11,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9767822Z [2022-11-23 01:30:11,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9768248Z [2022-11-23 01:30:11,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9768556Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760
2022-11-23T01:32:31.9768851Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9769102Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9769482Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759>
2022-11-23T01:32:31.9769733Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9769971Z [2022-11-23 01:30:11,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9770229Z [2022-11-23 01:30:11,872] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9770485Z [2022-11-23 01:30:11,877] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9770680Z [2022-11-23 01:30:11,877] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9770827Z  __compiled_fn_671 <eval_with_key>.4149 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9770917Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9771010Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9771266Z call_function, remainder, <built-in method remainder of type object at 0x7f209c394c60>, (ex_0_, ex_1_), {}
2022-11-23T01:32:31.9771444Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:31.9771618Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T01:32:31.9771872Z call_function, remainder_1, <built-in method remainder of type object at 0x7f209c394c60>, (add, sub), {}
2022-11-23T01:32:31.9772054Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:31.9772230Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.9772483Z call_function, remainder_2, <built-in method remainder of type object at 0x7f209c394c60>, (sub_1, add_1), {}
2022-11-23T01:32:31.9772655Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T01:32:31.9772661Z 
2022-11-23T01:32:31.9773007Z [2022-11-23 01:30:11,878] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9773109Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9773207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9773301Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9773403Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9773495Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9773584Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9773666Z              12 RETURN_VALUE
2022-11-23T01:32:31.9773672Z 
2022-11-23T01:32:31.9773736Z  
2022-11-23T01:32:31.9774084Z [2022-11-23 01:30:11,878] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9774237Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_671)
2022-11-23T01:32:31.9774333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9774430Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9774515Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9774604Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9774697Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9774779Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9774874Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9774986Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9775095Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9775192Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9775267Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9775377Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9775475Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9775556Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9775663Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9775763Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9775845Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9775933Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.9776014Z              38 RETURN_VALUE
2022-11-23T01:32:31.9776019Z 
2022-11-23T01:32:31.9776085Z  
2022-11-23T01:32:31.9776275Z [2022-11-23 01:30:11,879] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9776352Z  - 
2022-11-23T01:32:31.9776479Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9776549Z             {
2022-11-23T01:32:31.9776690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9776887Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9777012Z                 'obj_weakref': None
2022-11-23T01:32:31.9777244Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9777314Z             }
2022-11-23T01:32:31.9777383Z             
2022-11-23T01:32:31.9777461Z  - 
2022-11-23T01:32:31.9777584Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9777653Z             {
2022-11-23T01:32:31.9777801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9777914Z                 'code': None,
2022-11-23T01:32:31.9778126Z                 'obj_weakref': <weakref at 0x7f206819e8e0; to 'Tensor' at 0x7f1fead08180>
2022-11-23T01:32:31.9778379Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9778449Z             }
2022-11-23T01:32:31.9778512Z             
2022-11-23T01:32:31.9778588Z  - 
2022-11-23T01:32:31.9778716Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9778910Z             {
2022-11-23T01:32:31.9779067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9779180Z                 'code': None,
2022-11-23T01:32:31.9779398Z                 'obj_weakref': <weakref at 0x7f1feadc14e0; to 'Tensor' at 0x7f1fead0b290>
2022-11-23T01:32:31.9779645Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9779714Z             }
2022-11-23T01:32:31.9779782Z             
2022-11-23T01:32:31.9779859Z  - 
2022-11-23T01:32:31.9779995Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9780063Z             {
2022-11-23T01:32:31.9780203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9780373Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9780498Z                 'obj_weakref': None
2022-11-23T01:32:31.9780780Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9780851Z             }
2022-11-23T01:32:31.9780946Z             
2022-11-23T01:32:31.9781023Z  - 
2022-11-23T01:32:31.9781150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9781213Z             {
2022-11-23T01:32:31.9781354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9781575Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9781701Z                 'obj_weakref': None
2022-11-23T01:32:31.9781927Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9781997Z             }
2022-11-23T01:32:31.9782064Z             
2022-11-23T01:32:31.9782132Z  - 
2022-11-23T01:32:31.9782270Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9782339Z             {
2022-11-23T01:32:31.9782465Z                 'guard_types': None,
2022-11-23T01:32:31.9782577Z                 'code': None,
2022-11-23T01:32:31.9782701Z                 'obj_weakref': None
2022-11-23T01:32:31.9782828Z                 'guarded_class': None
2022-11-23T01:32:31.9782890Z             }
2022-11-23T01:32:31.9782958Z             
2022-11-23T01:32:31.9783224Z [2022-11-23 01:30:11,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 654
2022-11-23T01:32:31.9783559Z [2022-11-23 01:30:11,897] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.9783921Z [2022-11-23 01:30:11,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sn/csnm7eb6bw3mtety6lmi7rdmg4yggu4gatd7j64wt2zjwqmbr74a.py
2022-11-23T01:32:31.9784189Z [2022-11-23 01:30:11,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 654
2022-11-23T01:32:31.9784195Z 
2022-11-23T01:32:31.9784293Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9784367Z import torch
2022-11-23T01:32:31.9784435Z import random
2022-11-23T01:32:31.9784561Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9784691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9784696Z 
2022-11-23T01:32:31.9784779Z aten = torch.ops.aten
2022-11-23T01:32:31.9784920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9785019Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9785024Z 
2022-11-23T01:32:31.9785098Z import triton
2022-11-23T01:32:31.9785192Z import triton.language as tl
2022-11-23T01:32:31.9785314Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9785456Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9785462Z 
2022-11-23T01:32:31.9785466Z 
2022-11-23T01:32:31.9785705Z triton_fused_remainder_1_sub_1_remainder_add_sub_add_1_remainder_20 = async_compile.triton('''
2022-11-23T01:32:31.9785780Z import triton
2022-11-23T01:32:31.9785873Z import triton.language as tl
2022-11-23T01:32:31.9785991Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9786097Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9786232Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9786353Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9786359Z 
2022-11-23T01:32:31.9786774Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.9786849Z @triton.jit
2022-11-23T01:32:31.9787011Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9787086Z     xnumel = 64
2022-11-23T01:32:31.9787186Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9787318Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9787402Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9787495Z     x0 = xindex
2022-11-23T01:32:31.9787614Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.9787713Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:31.9787793Z     tmp2 = tmp0 % tmp1
2022-11-23T01:32:31.9787871Z     tmp3 = tmp2 + tmp1
2022-11-23T01:32:31.9788003Z     tmp4 = tl.where(((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))), tmp3, tmp2)
2022-11-23T01:32:31.9788077Z     tmp5 = 1
2022-11-23T01:32:31.9788149Z     tmp6 = tmp0 + tmp5
2022-11-23T01:32:31.9788260Z     tmp7 = tmp1 - tmp5
2022-11-23T01:32:31.9788340Z     tmp8 = tmp6 % tmp7
2022-11-23T01:32:31.9788417Z     tmp9 = tmp8 + tmp7
2022-11-23T01:32:31.9788547Z     tmp10 = tl.where(((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))), tmp9, tmp8)
2022-11-23T01:32:31.9788660Z     tmp11 = tmp0 - tmp5
2022-11-23T01:32:31.9788740Z     tmp12 = tmp1 + tmp5
2022-11-23T01:32:31.9788816Z     tmp13 = tmp11 % tmp12
2022-11-23T01:32:31.9788895Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:31.9789028Z     tmp15 = tl.where(((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))), tmp14, tmp13)
2022-11-23T01:32:31.9789169Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.9789306Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.9789442Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.9789527Z ''')
2022-11-23T01:32:31.9789532Z 
2022-11-23T01:32:31.9789537Z 
2022-11-23T01:32:31.9789624Z async_compile.wait(globals())
2022-11-23T01:32:31.9789701Z del async_compile
2022-11-23T01:32:31.9789706Z 
2022-11-23T01:32:31.9789782Z def call(args):
2022-11-23T01:32:31.9789862Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9789938Z     args.clear()
2022-11-23T01:32:31.9790137Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9790404Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9790600Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9790686Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9790898Z     triton_fused_remainder_1_sub_1_remainder_add_sub_add_1_remainder_20.run(arg0_1, arg1_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9790973Z     del arg0_1
2022-11-23T01:32:31.9791046Z     del arg1_1
2022-11-23T01:32:31.9791135Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.9791140Z 
2022-11-23T01:32:31.9791145Z 
2022-11-23T01:32:31.9791225Z if __name__ == "__main__":
2022-11-23T01:32:31.9791343Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9791466Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9791666Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9791862Z     arg1_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9791984Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9791990Z 
2022-11-23T01:32:31.9791996Z 
2022-11-23T01:32:31.9792095Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9792171Z import torch
2022-11-23T01:32:31.9792248Z import random
2022-11-23T01:32:31.9792368Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9792487Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9792501Z 
2022-11-23T01:32:31.9792577Z aten = torch.ops.aten
2022-11-23T01:32:31.9792715Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9792812Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9792817Z 
2022-11-23T01:32:31.9792892Z import triton
2022-11-23T01:32:31.9792984Z import triton.language as tl
2022-11-23T01:32:31.9793112Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9793254Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9793259Z 
2022-11-23T01:32:31.9793264Z 
2022-11-23T01:32:31.9793539Z triton_fused_sub_remainder_1_add_sub_1_remainder_remainder_2_add_10 = async_compile.triton('''
2022-11-23T01:32:31.9793627Z import triton
2022-11-23T01:32:31.9793721Z import triton.language as tl
2022-11-23T01:32:31.9793836Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9793938Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9794074Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9794208Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9794213Z 
2022-11-23T01:32:31.9794632Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:31.9794706Z @triton.jit
2022-11-23T01:32:31.9794862Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9794936Z     xnumel = 64
2022-11-23T01:32:31.9795039Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9795171Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9795257Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9795329Z     x0 = xindex
2022-11-23T01:32:31.9795448Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9795559Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9795638Z     tmp2 = tmp0 % tmp1
2022-11-23T01:32:31.9795716Z     tmp3 = tmp2 + tmp1
2022-11-23T01:32:31.9795844Z     tmp4 = tl.where(((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))), tmp3, tmp2)
2022-11-23T01:32:31.9795915Z     tmp5 = 1
2022-11-23T01:32:31.9795995Z     tmp6 = tmp0 + tmp5
2022-11-23T01:32:31.9796107Z     tmp7 = tmp1 - tmp5
2022-11-23T01:32:31.9796178Z     tmp8 = tmp6 % tmp7
2022-11-23T01:32:31.9796256Z     tmp9 = tmp8 + tmp7
2022-11-23T01:32:31.9796388Z     tmp10 = tl.where(((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))), tmp9, tmp8)
2022-11-23T01:32:31.9796500Z     tmp11 = tmp0 - tmp5
2022-11-23T01:32:31.9796582Z     tmp12 = tmp1 + tmp5
2022-11-23T01:32:31.9796663Z     tmp13 = tmp11 % tmp12
2022-11-23T01:32:31.9796740Z     tmp14 = tmp13 + tmp12
2022-11-23T01:32:31.9796874Z     tmp15 = tl.where(((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))), tmp14, tmp13)
2022-11-23T01:32:31.9797010Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:31.9797147Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:31.9797282Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp15, xmask)
2022-11-23T01:32:31.9797367Z ''')
2022-11-23T01:32:31.9797373Z 
2022-11-23T01:32:31.9797377Z 
2022-11-23T01:32:31.9797469Z async_compile.wait(globals())
2022-11-23T01:32:31.9797545Z del async_compile
2022-11-23T01:32:31.9797551Z 
2022-11-23T01:32:31.9797625Z def call(args):
2022-11-23T01:32:31.9797698Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9797774Z     args.clear()
2022-11-23T01:32:31.9797974Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9798168Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9798362Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9798455Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9798659Z     triton_fused_sub_remainder_1_add_sub_1_remainder_remainder_2_add_10.run(arg0_1, arg1_1, buf0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9798726Z     del arg0_1
2022-11-23T01:32:31.9798798Z     del arg1_1
2022-11-23T01:32:31.9798886Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.9798891Z 
2022-11-23T01:32:31.9798896Z 
2022-11-23T01:32:31.9798976Z if __name__ == "__main__":
2022-11-23T01:32:31.9799097Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9799225Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9799424Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9799647Z     arg1_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9799781Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9799786Z 
2022-11-23T01:32:31.9799858Z ok (0.246s)
2022-11-23T01:32:31.9800172Z   test_repeat_cuda (__main__.CudaTests) ... [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9800494Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9800719Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9800975Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9801256Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9801580Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9801928Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9802250Z [2022-11-23 01:30:11,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9802653Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152> 
2022-11-23T01:32:31.9802773Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9802877Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9802975Z                4 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9803076Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9803178Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:31.9803274Z               10 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9803363Z               12 CALL_METHOD              4
2022-11-23T01:32:31.9803374Z 
2022-11-23T01:32:31.9803463Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9803565Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9803659Z               18 LOAD_CONST               4 (8)
2022-11-23T01:32:31.9803752Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9803847Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9803941Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804035Z               26 CALL_METHOD              4
2022-11-23T01:32:31.9804040Z 
2022-11-23T01:32:31.9804127Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9804234Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9804327Z               32 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9804422Z               34 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804515Z               36 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804607Z               38 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804698Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804785Z               42 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9804879Z               44 CALL_METHOD              6
2022-11-23T01:32:31.9804884Z 
2022-11-23T01:32:31.9804978Z 2153          46 BUILD_TUPLE              3
2022-11-23T01:32:31.9805060Z               48 RETURN_VALUE
2022-11-23T01:32:31.9805126Z  
2022-11-23T01:32:31.9805131Z 
2022-11-23T01:32:31.9805451Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154
2022-11-23T01:32:31.9805699Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.9805971Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T01:32:31.9806254Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9806561Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9806914Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9807299Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9807727Z [2022-11-23 01:30:11,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9808038Z [2022-11-23 01:30:11,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155
2022-11-23T01:32:31.9808281Z [2022-11-23 01:30:11,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.9808555Z [2022-11-23 01:30:11,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9808861Z [2022-11-23 01:30:11,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9809201Z [2022-11-23 01:30:11,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9809571Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9809975Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9810420Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9810728Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156
2022-11-23T01:32:31.9810993Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9811293Z [2022-11-23 01:30:11,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9811619Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9811979Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9812380Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9812841Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9813327Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9813822Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9814359Z [2022-11-23 01:30:11,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9814667Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153
2022-11-23T01:32:31.9814966Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9815214Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9815590Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152>
2022-11-23T01:32:31.9815835Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9816062Z [2022-11-23 01:30:11,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9816324Z [2022-11-23 01:30:11,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9816581Z [2022-11-23 01:30:11,996] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9816775Z [2022-11-23 01:30:11,996] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9816916Z  __compiled_fn_672 <eval_with_key>.4155 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9817012Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9817127Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T01:32:31.9817244Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T01:32:31.9817359Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T01:32:31.9817490Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T01:32:31.9817496Z 
2022-11-23T01:32:31.9817832Z [2022-11-23 01:30:11,996] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9817935Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9818032Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9818125Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9818227Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9818319Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9818408Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9818489Z              12 RETURN_VALUE
2022-11-23T01:32:31.9818494Z 
2022-11-23T01:32:31.9818560Z  
2022-11-23T01:32:31.9819023Z [2022-11-23 01:30:11,996] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9819146Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_672)
2022-11-23T01:32:31.9819245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9819385Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9819508Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9819599Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9819717Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9819832Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9819931Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9820015Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9820127Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9820225Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9820303Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9820413Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9820510Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9820594Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9820691Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.9820777Z              32 RETURN_VALUE
2022-11-23T01:32:31.9820785Z 
2022-11-23T01:32:31.9820851Z  
2022-11-23T01:32:31.9821055Z [2022-11-23 01:30:11,997] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9821133Z  - 
2022-11-23T01:32:31.9821267Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9821337Z             {
2022-11-23T01:32:31.9821483Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9821677Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9821806Z                 'obj_weakref': None
2022-11-23T01:32:31.9822025Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9822095Z             }
2022-11-23T01:32:31.9822164Z             
2022-11-23T01:32:31.9822239Z  - 
2022-11-23T01:32:31.9822369Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9822438Z             {
2022-11-23T01:32:31.9822587Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9822693Z                 'code': None,
2022-11-23T01:32:31.9822911Z                 'obj_weakref': <weakref at 0x7f2115f5a390; to 'Tensor' at 0x7f1feadc36a0>
2022-11-23T01:32:31.9823160Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9823230Z             }
2022-11-23T01:32:31.9823298Z             
2022-11-23T01:32:31.9823376Z  - 
2022-11-23T01:32:31.9823512Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9823574Z             {
2022-11-23T01:32:31.9823714Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9823888Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9824011Z                 'obj_weakref': None
2022-11-23T01:32:31.9824241Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9824310Z             }
2022-11-23T01:32:31.9824378Z             
2022-11-23T01:32:31.9824450Z  - 
2022-11-23T01:32:31.9824577Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9824649Z             {
2022-11-23T01:32:31.9824788Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9825006Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9825130Z                 'obj_weakref': None
2022-11-23T01:32:31.9825356Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9825419Z             }
2022-11-23T01:32:31.9825486Z             
2022-11-23T01:32:31.9825746Z [2022-11-23 01:30:12,002] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 655
2022-11-23T01:32:31.9825994Z [2022-11-23 01:30:12,017] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9826403Z [2022-11-23 01:30:12,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3a/c3ahx4clagcpryetqksny6zcx34tb4on6b3wkvcdcxmuzrl4cflt.py
2022-11-23T01:32:31.9826689Z [2022-11-23 01:30:12,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 655
2022-11-23T01:32:31.9826928Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9827242Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9827462Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9827708Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9827982Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9828301Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9828644Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9828962Z [2022-11-23 01:30:12,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9829331Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152> 
2022-11-23T01:32:31.9829433Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9829539Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9829638Z                4 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9829727Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9829825Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:31.9829927Z               10 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9830023Z               12 CALL_METHOD              4
2022-11-23T01:32:31.9830028Z 
2022-11-23T01:32:31.9830124Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9830230Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9830397Z               18 LOAD_CONST               4 (8)
2022-11-23T01:32:31.9830505Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9830603Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9830697Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9830792Z               26 CALL_METHOD              4
2022-11-23T01:32:31.9830797Z 
2022-11-23T01:32:31.9830891Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T01:32:31.9830993Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:31.9831089Z               32 LOAD_CONST               1 (2)
2022-11-23T01:32:31.9831184Z               34 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9831275Z               36 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9831367Z               38 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9831459Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9831552Z               42 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9831647Z               44 CALL_METHOD              6
2022-11-23T01:32:31.9831652Z 
2022-11-23T01:32:31.9831747Z 2153          46 BUILD_TUPLE              3
2022-11-23T01:32:31.9831829Z               48 RETURN_VALUE
2022-11-23T01:32:31.9831896Z  
2022-11-23T01:32:31.9831901Z 
2022-11-23T01:32:31.9832211Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154
2022-11-23T01:32:31.9832428Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:31.9832708Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T01:32:31.9833014Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9833331Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9833682Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9834066Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9834490Z [2022-11-23 01:30:12,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9834807Z [2022-11-23 01:30:12,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155
2022-11-23T01:32:31.9835049Z [2022-11-23 01:30:12,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:31.9835324Z [2022-11-23 01:30:12,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9835623Z [2022-11-23 01:30:12,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9835962Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9836341Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9836754Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9837207Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9837519Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156
2022-11-23T01:32:31.9837788Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9838095Z [2022-11-23 01:30:12,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9838424Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:31.9838784Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:31.9839181Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9839634Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9840102Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9840626Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9841162Z [2022-11-23 01:30:12,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9841469Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153
2022-11-23T01:32:31.9841770Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9842020Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9842397Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152>
2022-11-23T01:32:31.9842648Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9842885Z [2022-11-23 01:30:12,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9843143Z [2022-11-23 01:30:12,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9843400Z [2022-11-23 01:30:12,124] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9843595Z [2022-11-23 01:30:12,125] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9843738Z  __compiled_fn_673 <eval_with_key>.4161 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9843827Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9843944Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T01:32:31.9844060Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T01:32:31.9844185Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T01:32:31.9844316Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T01:32:31.9844321Z 
2022-11-23T01:32:31.9844649Z [2022-11-23 01:30:12,125] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9844752Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9844854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9844941Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9845042Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9845133Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9845231Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9845313Z              12 RETURN_VALUE
2022-11-23T01:32:31.9845319Z 
2022-11-23T01:32:31.9845384Z  
2022-11-23T01:32:31.9845698Z [2022-11-23 01:30:12,125] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9845811Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_673)
2022-11-23T01:32:31.9845910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9846007Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9846120Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9846216Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9846351Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9846462Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9846557Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9846633Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9846743Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9846839Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9846920Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9847027Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9847123Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9847205Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9847293Z              30 BUILD_TUPLE              3
2022-11-23T01:32:31.9847376Z              32 RETURN_VALUE
2022-11-23T01:32:31.9847381Z 
2022-11-23T01:32:31.9847448Z  
2022-11-23T01:32:31.9847638Z [2022-11-23 01:30:12,126] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9847717Z  - 
2022-11-23T01:32:31.9847842Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9847913Z             {
2022-11-23T01:32:31.9848053Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9848247Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9848373Z                 'obj_weakref': None
2022-11-23T01:32:31.9848599Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9848669Z             }
2022-11-23T01:32:31.9848738Z             
2022-11-23T01:32:31.9848814Z  - 
2022-11-23T01:32:31.9848937Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9849008Z             {
2022-11-23T01:32:31.9849153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9849266Z                 'code': None,
2022-11-23T01:32:31.9849482Z                 'obj_weakref': <weakref at 0x7f20230d6110; to 'Tensor' at 0x7f2022eade40>
2022-11-23T01:32:31.9849734Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9849806Z             }
2022-11-23T01:32:31.9849869Z             
2022-11-23T01:32:31.9849945Z  - 
2022-11-23T01:32:31.9850081Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9850150Z             {
2022-11-23T01:32:31.9850291Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9850467Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9850591Z                 'obj_weakref': None
2022-11-23T01:32:31.9850820Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9850890Z             }
2022-11-23T01:32:31.9850958Z             
2022-11-23T01:32:31.9851035Z  - 
2022-11-23T01:32:31.9851161Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9851233Z             {
2022-11-23T01:32:31.9851379Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9851593Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9851716Z                 'obj_weakref': None
2022-11-23T01:32:31.9851941Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9852010Z             }
2022-11-23T01:32:31.9852080Z             
2022-11-23T01:32:31.9852343Z [2022-11-23 01:30:12,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 656
2022-11-23T01:32:31.9852620Z [2022-11-23 01:30:12,138] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9853008Z [2022-11-23 01:30:12,210] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7s/c7s7qfsvnykmm5ivu3nkv3xlfahn67zyyclkgjbqhhpnbqhvkvtd.py
2022-11-23T01:32:31.9853299Z [2022-11-23 01:30:12,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 656
2022-11-23T01:32:31.9853323Z 
2022-11-23T01:32:31.9853425Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9853500Z import torch
2022-11-23T01:32:31.9853574Z import random
2022-11-23T01:32:31.9853695Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9853823Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9853828Z 
2022-11-23T01:32:31.9853912Z aten = torch.ops.aten
2022-11-23T01:32:31.9854053Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9854145Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9854150Z 
2022-11-23T01:32:31.9854225Z import triton
2022-11-23T01:32:31.9854322Z import triton.language as tl
2022-11-23T01:32:31.9854450Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9854594Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9854599Z 
2022-11-23T01:32:31.9854607Z 
2022-11-23T01:32:31.9854770Z triton_fused_repeat0 = async_compile.triton('''
2022-11-23T01:32:31.9854848Z import triton
2022-11-23T01:32:31.9854935Z import triton.language as tl
2022-11-23T01:32:31.9855054Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9855158Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9855294Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9855421Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9855426Z 
2022-11-23T01:32:31.9855799Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9855874Z @triton.jit
2022-11-23T01:32:31.9856009Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9856079Z     xnumel = 768
2022-11-23T01:32:31.9856178Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9856313Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9856401Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9856477Z     x0 = xindex % 8
2022-11-23T01:32:31.9856561Z     x1 = (xindex // 8) % 12
2022-11-23T01:32:31.9856640Z     x2 = (xindex // 96) % 4
2022-11-23T01:32:31.9856706Z     x4 = xindex
2022-11-23T01:32:31.9856829Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*(x1 % 4)) + (32*(x2 % 2))), xmask)
2022-11-23T01:32:31.9856968Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9857055Z ''')
2022-11-23T01:32:31.9857061Z 
2022-11-23T01:32:31.9857065Z 
2022-11-23T01:32:31.9857160Z async_compile.wait(globals())
2022-11-23T01:32:31.9857237Z del async_compile
2022-11-23T01:32:31.9857242Z 
2022-11-23T01:32:31.9857318Z def call(args):
2022-11-23T01:32:31.9857392Z     arg0_1, = args
2022-11-23T01:32:31.9857462Z     args.clear()
2022-11-23T01:32:31.9857682Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9857777Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9857919Z     triton_fused_repeat0.run(arg0_1, buf0, 768, grid=grid(768), stream=stream0)
2022-11-23T01:32:31.9858080Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T01:32:31.9858085Z 
2022-11-23T01:32:31.9858090Z 
2022-11-23T01:32:31.9858172Z if __name__ == "__main__":
2022-11-23T01:32:31.9858291Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9858421Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9858630Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9858748Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9858753Z 
2022-11-23T01:32:31.9858757Z 
2022-11-23T01:32:31.9858973Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9859049Z import torch
2022-11-23T01:32:31.9859170Z import random
2022-11-23T01:32:31.9859320Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9859446Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9859452Z 
2022-11-23T01:32:31.9859535Z aten = torch.ops.aten
2022-11-23T01:32:31.9859669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9859765Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9859770Z 
2022-11-23T01:32:31.9859846Z import triton
2022-11-23T01:32:31.9859939Z import triton.language as tl
2022-11-23T01:32:31.9860067Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9860210Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9860215Z 
2022-11-23T01:32:31.9860220Z 
2022-11-23T01:32:31.9860384Z triton_fused_repeat0 = async_compile.triton('''
2022-11-23T01:32:31.9860458Z import triton
2022-11-23T01:32:31.9860545Z import triton.language as tl
2022-11-23T01:32:31.9860664Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9860768Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9860906Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9861035Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9861040Z 
2022-11-23T01:32:31.9861414Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9861489Z @triton.jit
2022-11-23T01:32:31.9861623Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9861692Z     xnumel = 768
2022-11-23T01:32:31.9861791Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9861923Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9862008Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9862083Z     x0 = xindex % 8
2022-11-23T01:32:31.9862170Z     x1 = (xindex // 8) % 12
2022-11-23T01:32:31.9862251Z     x2 = (xindex // 96) % 4
2022-11-23T01:32:31.9862319Z     x4 = xindex
2022-11-23T01:32:31.9862463Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*(x1 % 4)) + (32*(x2 % 2))), xmask).to(tl.float32)
2022-11-23T01:32:31.9862604Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9862691Z ''')
2022-11-23T01:32:31.9862696Z 
2022-11-23T01:32:31.9862701Z 
2022-11-23T01:32:31.9862796Z async_compile.wait(globals())
2022-11-23T01:32:31.9862873Z del async_compile
2022-11-23T01:32:31.9862879Z 
2022-11-23T01:32:31.9862955Z def call(args):
2022-11-23T01:32:31.9863023Z     arg0_1, = args
2022-11-23T01:32:31.9863101Z     args.clear()
2022-11-23T01:32:31.9863319Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9863413Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9863561Z     triton_fused_repeat0.run(arg0_1, buf0, 768, grid=grid(768), stream=stream0)
2022-11-23T01:32:31.9863722Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T01:32:31.9863730Z 
2022-11-23T01:32:31.9863734Z 
2022-11-23T01:32:31.9863816Z if __name__ == "__main__":
2022-11-23T01:32:31.9863936Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9864059Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9864275Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9864388Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9864394Z 
2022-11-23T01:32:31.9864466Z ok (0.228s)
2022-11-23T01:32:31.9864621Z   test_roi_align_cuda (__main__.CudaTests) ... skip: requires torchvision (0.000s)
2022-11-23T01:32:31.9864922Z   test_roll_cuda (__main__.CudaTests) ... [2022-11-23 01:30:12,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9865267Z [2022-11-23 01:30:12,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9865518Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9865771Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9866040Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9866355Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9866694Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9867014Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9867384Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233> 
2022-11-23T01:32:31.9867487Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9867586Z                2 LOAD_METHOD              1 (roll)
2022-11-23T01:32:31.9867683Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9867825Z                6 LOAD_CONST               1 (-3)
2022-11-23T01:32:31.9867915Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:31.9868010Z               10 BUILD_LIST               2
2022-11-23T01:32:31.9868105Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9868199Z               14 LOAD_CONST               4 (2)
2022-11-23T01:32:31.9868295Z               16 BUILD_LIST               2
2022-11-23T01:32:31.9868393Z               18 CALL_METHOD              3
2022-11-23T01:32:31.9868401Z 
2022-11-23T01:32:31.9868500Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9868600Z               22 LOAD_METHOD              1 (roll)
2022-11-23T01:32:31.9868688Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9868782Z               26 LOAD_CONST               5 (5)
2022-11-23T01:32:31.9868875Z               28 BUILD_LIST               1
2022-11-23T01:32:31.9868968Z               30 CALL_METHOD              2
2022-11-23T01:32:31.9868974Z 
2022-11-23T01:32:31.9869066Z 4234          32 BUILD_TUPLE              2
2022-11-23T01:32:31.9869148Z               34 RETURN_VALUE
2022-11-23T01:32:31.9869214Z  
2022-11-23T01:32:31.9869219Z 
2022-11-23T01:32:31.9869531Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235
2022-11-23T01:32:31.9869747Z [2022-11-23 01:30:12,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9870052Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9870373Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T01:32:31.9870686Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:31.9871002Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9871350Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9871679Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9872036Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9872421Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9872789Z [2022-11-23 01:30:12,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.9873101Z [2022-11-23 01:30:12,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236
2022-11-23T01:32:31.9873341Z [2022-11-23 01:30:12,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.9873674Z [2022-11-23 01:30:12,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9873953Z [2022-11-23 01:30:12,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T01:32:31.9874257Z [2022-11-23 01:30:12,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:31.9874598Z [2022-11-23 01:30:12,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9874931Z [2022-11-23 01:30:12,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9875247Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234
2022-11-23T01:32:31.9875520Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9875770Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9876146Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233>
2022-11-23T01:32:31.9876393Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9876624Z [2022-11-23 01:30:12,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9876883Z [2022-11-23 01:30:12,232] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9877136Z [2022-11-23 01:30:12,235] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9877332Z [2022-11-23 01:30:12,235] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9877473Z  __compiled_fn_674 <eval_with_key>.4167 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9877569Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9877741Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T01:32:31.9877854Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T01:32:31.9877957Z output, output, output, ((roll, roll_1),), {}
2022-11-23T01:32:31.9877963Z 
2022-11-23T01:32:31.9878292Z [2022-11-23 01:30:12,235] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9878392Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9878489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9878606Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9878708Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9878822Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9878917Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9878992Z              12 RETURN_VALUE
2022-11-23T01:32:31.9878998Z 
2022-11-23T01:32:31.9879063Z  
2022-11-23T01:32:31.9879383Z [2022-11-23 01:30:12,235] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9879501Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_674)
2022-11-23T01:32:31.9879596Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9879693Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9879777Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9879864Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9879976Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9880088Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9880185Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9880267Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9880376Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9880474Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9880554Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9880642Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9880724Z              26 RETURN_VALUE
2022-11-23T01:32:31.9880729Z 
2022-11-23T01:32:31.9880794Z  
2022-11-23T01:32:31.9880984Z [2022-11-23 01:30:12,236] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9881062Z  - 
2022-11-23T01:32:31.9881187Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9881257Z             {
2022-11-23T01:32:31.9881397Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9881590Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9881712Z                 'obj_weakref': None
2022-11-23T01:32:31.9881939Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9882009Z             }
2022-11-23T01:32:31.9882076Z             
2022-11-23T01:32:31.9882150Z  - 
2022-11-23T01:32:31.9882271Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9882339Z             {
2022-11-23T01:32:31.9882484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9882595Z                 'code': None,
2022-11-23T01:32:31.9882838Z                 'obj_weakref': <weakref at 0x7f2022eaf740; to 'Tensor' at 0x7f20601c1ad0>
2022-11-23T01:32:31.9883097Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9883166Z             }
2022-11-23T01:32:31.9883228Z             
2022-11-23T01:32:31.9883303Z  - 
2022-11-23T01:32:31.9883440Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9883507Z             {
2022-11-23T01:32:31.9883650Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9883822Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9883944Z                 'obj_weakref': None
2022-11-23T01:32:31.9884168Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9884240Z             }
2022-11-23T01:32:31.9884307Z             
2022-11-23T01:32:31.9884382Z  - 
2022-11-23T01:32:31.9884507Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9884575Z             {
2022-11-23T01:32:31.9884708Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9884924Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9885047Z                 'obj_weakref': None
2022-11-23T01:32:31.9885302Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9885373Z             }
2022-11-23T01:32:31.9885460Z             
2022-11-23T01:32:31.9885534Z  - 
2022-11-23T01:32:31.9885672Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9885734Z             {
2022-11-23T01:32:31.9885860Z                 'guard_types': None,
2022-11-23T01:32:31.9885972Z                 'code': None,
2022-11-23T01:32:31.9886094Z                 'obj_weakref': None
2022-11-23T01:32:31.9886219Z                 'guarded_class': None
2022-11-23T01:32:31.9886288Z             }
2022-11-23T01:32:31.9886349Z             
2022-11-23T01:32:31.9886614Z [2022-11-23 01:30:12,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 657
2022-11-23T01:32:31.9886866Z [2022-11-23 01:30:12,267] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9887109Z [2022-11-23 01:30:12,298] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9887468Z [2022-11-23 01:30:12,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/en/cens365tde2pccmq5r2rt54pssycpdixra2cddq7jxo2detbc77k.py
2022-11-23T01:32:31.9887734Z [2022-11-23 01:30:12,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 657
2022-11-23T01:32:31.9887974Z [2022-11-23 01:30:12,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9888285Z [2022-11-23 01:30:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9888504Z [2022-11-23 01:30:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9888755Z [2022-11-23 01:30:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9889026Z [2022-11-23 01:30:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9889341Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9889687Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9890013Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9890385Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233> 
2022-11-23T01:32:31.9890486Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9890588Z                2 LOAD_METHOD              1 (roll)
2022-11-23T01:32:31.9890687Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9890830Z                6 LOAD_CONST               1 (-3)
2022-11-23T01:32:31.9890923Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:31.9891017Z               10 BUILD_LIST               2
2022-11-23T01:32:31.9891112Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:31.9891208Z               14 LOAD_CONST               4 (2)
2022-11-23T01:32:31.9891299Z               16 BUILD_LIST               2
2022-11-23T01:32:31.9891391Z               18 CALL_METHOD              3
2022-11-23T01:32:31.9891397Z 
2022-11-23T01:32:31.9891496Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:31.9891585Z               22 LOAD_METHOD              1 (roll)
2022-11-23T01:32:31.9891679Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9891774Z               26 LOAD_CONST               5 (5)
2022-11-23T01:32:31.9891866Z               28 BUILD_LIST               1
2022-11-23T01:32:31.9891959Z               30 CALL_METHOD              2
2022-11-23T01:32:31.9891995Z 
2022-11-23T01:32:31.9892114Z 4234          32 BUILD_TUPLE              2
2022-11-23T01:32:31.9892198Z               34 RETURN_VALUE
2022-11-23T01:32:31.9892264Z  
2022-11-23T01:32:31.9892269Z 
2022-11-23T01:32:31.9892594Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235
2022-11-23T01:32:31.9892847Z [2022-11-23 01:30:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:31.9893153Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9893406Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T01:32:31.9893692Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:31.9894010Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9894364Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9894661Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9894996Z [2022-11-23 01:30:12,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9895367Z [2022-11-23 01:30:12,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:31.9895697Z [2022-11-23 01:30:12,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:31.9896006Z [2022-11-23 01:30:12,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236
2022-11-23T01:32:31.9896257Z [2022-11-23 01:30:12,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:31.9896589Z [2022-11-23 01:30:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:31.9896869Z [2022-11-23 01:30:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T01:32:31.9897172Z [2022-11-23 01:30:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:31.9897513Z [2022-11-23 01:30:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9897846Z [2022-11-23 01:30:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:31.9898160Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234
2022-11-23T01:32:31.9898429Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9898676Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9899207Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233>
2022-11-23T01:32:31.9899453Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9899719Z [2022-11-23 01:30:12,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9899976Z [2022-11-23 01:30:12,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9900229Z [2022-11-23 01:30:12,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9900421Z [2022-11-23 01:30:12,402] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9900564Z  __compiled_fn_675 <eval_with_key>.4173 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9900659Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9900832Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T01:32:31.9900939Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T01:32:31.9901051Z output, output, output, ((roll, roll_1),), {}
2022-11-23T01:32:31.9901060Z 
2022-11-23T01:32:31.9901388Z [2022-11-23 01:30:12,402] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9901488Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9901586Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9901679Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9901780Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9901872Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9901961Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9902042Z              12 RETURN_VALUE
2022-11-23T01:32:31.9902048Z 
2022-11-23T01:32:31.9902113Z  
2022-11-23T01:32:31.9902452Z [2022-11-23 01:30:12,402] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9902584Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_675)
2022-11-23T01:32:31.9902707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9902805Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9902888Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9902975Z               8 CALL_FUNCTION            1
2022-11-23T01:32:31.9903088Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9903197Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9903295Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9903377Z              16 BINARY_SUBSCR
2022-11-23T01:32:31.9903484Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9903581Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9903656Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9903750Z              24 BUILD_TUPLE              2
2022-11-23T01:32:31.9903833Z              26 RETURN_VALUE
2022-11-23T01:32:31.9903841Z 
2022-11-23T01:32:31.9903907Z  
2022-11-23T01:32:31.9904096Z [2022-11-23 01:30:12,403] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9904172Z  - 
2022-11-23T01:32:31.9904299Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9904362Z             {
2022-11-23T01:32:31.9904513Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9904706Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:31.9904831Z                 'obj_weakref': None
2022-11-23T01:32:31.9905057Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9905126Z             }
2022-11-23T01:32:31.9905194Z             
2022-11-23T01:32:31.9905263Z  - 
2022-11-23T01:32:31.9905392Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9905460Z             {
2022-11-23T01:32:31.9905607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9905748Z                 'code': None,
2022-11-23T01:32:31.9905983Z                 'obj_weakref': <weakref at 0x7f1ff8163650; to 'Tensor' at 0x7f1fe0358630>
2022-11-23T01:32:31.9906236Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9906300Z             }
2022-11-23T01:32:31.9906369Z             
2022-11-23T01:32:31.9906444Z  - 
2022-11-23T01:32:31.9906580Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9906649Z             {
2022-11-23T01:32:31.9906789Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9906968Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:31.9907086Z                 'obj_weakref': None
2022-11-23T01:32:31.9907318Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9907387Z             }
2022-11-23T01:32:31.9907456Z             
2022-11-23T01:32:31.9907536Z  - 
2022-11-23T01:32:31.9907663Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9907734Z             {
2022-11-23T01:32:31.9907869Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9908087Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9908212Z                 'obj_weakref': None
2022-11-23T01:32:31.9908437Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9908508Z             }
2022-11-23T01:32:31.9908576Z             
2022-11-23T01:32:31.9908651Z  - 
2022-11-23T01:32:31.9908781Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:31.9908851Z             {
2022-11-23T01:32:31.9908975Z                 'guard_types': None,
2022-11-23T01:32:31.9909088Z                 'code': None,
2022-11-23T01:32:31.9909211Z                 'obj_weakref': None
2022-11-23T01:32:31.9909337Z                 'guarded_class': None
2022-11-23T01:32:31.9909410Z             }
2022-11-23T01:32:31.9909472Z             
2022-11-23T01:32:31.9909740Z [2022-11-23 01:30:12,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 658
2022-11-23T01:32:31.9909992Z [2022-11-23 01:30:12,421] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:31.9910240Z [2022-11-23 01:30:12,427] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9910695Z [2022-11-23 01:30:12,507] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ty/ctyh5z5il6mtv2jt2rzwet4g2zjb5qb4y7kxihhtgfdd3lc2qqn6.py
2022-11-23T01:32:31.9910965Z [2022-11-23 01:30:12,507] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 658
2022-11-23T01:32:31.9910971Z 
2022-11-23T01:32:31.9911074Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9911151Z import torch
2022-11-23T01:32:31.9911220Z import random
2022-11-23T01:32:31.9911344Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9911474Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9911479Z 
2022-11-23T01:32:31.9911566Z aten = torch.ops.aten
2022-11-23T01:32:31.9911705Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9911803Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9911808Z 
2022-11-23T01:32:31.9911885Z import triton
2022-11-23T01:32:31.9911990Z import triton.language as tl
2022-11-23T01:32:31.9912126Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9912291Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9912296Z 
2022-11-23T01:32:31.9912301Z 
2022-11-23T01:32:31.9912459Z triton_fused_roll0 = async_compile.triton('''
2022-11-23T01:32:31.9912536Z import triton
2022-11-23T01:32:31.9912629Z import triton.language as tl
2022-11-23T01:32:31.9912744Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9912883Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9913014Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9913174Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9913179Z 
2022-11-23T01:32:31.9913565Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9913640Z @triton.jit
2022-11-23T01:32:31.9913775Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9913851Z     xnumel = 100352
2022-11-23T01:32:31.9913949Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9914080Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9914158Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9914235Z     x0 = xindex % 16
2022-11-23T01:32:31.9914319Z     x1 = (xindex // 16) % 56
2022-11-23T01:32:31.9914401Z     x2 = (xindex // 896) % 56
2022-11-23T01:32:31.9914483Z     x3 = (xindex // 50176)
2022-11-23T01:32:31.9914557Z     x4 = xindex
2022-11-23T01:32:31.9914699Z     tmp0 = tl.load(in_ptr0 + (x0 + (16*((46 + x1) % 56)) + (896*((3 + x2) % 56)) + (50176*x3)), xmask)
2022-11-23T01:32:31.9914831Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9914919Z ''')
2022-11-23T01:32:31.9914924Z 
2022-11-23T01:32:31.9914929Z 
2022-11-23T01:32:31.9915089Z triton_fused_roll_11 = async_compile.triton('''
2022-11-23T01:32:31.9915164Z import triton
2022-11-23T01:32:31.9915262Z import triton.language as tl
2022-11-23T01:32:31.9915377Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9915481Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9915616Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9915737Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9915742Z 
2022-11-23T01:32:31.9916120Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9916196Z @triton.jit
2022-11-23T01:32:31.9916329Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9916405Z     xnumel = 100352
2022-11-23T01:32:31.9916504Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9916634Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9916717Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9916782Z     x0 = xindex
2022-11-23T01:32:31.9916895Z     tmp0 = tl.load(in_ptr0 + ((100347 + x0) % 100352), xmask)
2022-11-23T01:32:31.9917030Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9917116Z ''')
2022-11-23T01:32:31.9917121Z 
2022-11-23T01:32:31.9917126Z 
2022-11-23T01:32:31.9917218Z async_compile.wait(globals())
2022-11-23T01:32:31.9917296Z del async_compile
2022-11-23T01:32:31.9917304Z 
2022-11-23T01:32:31.9917381Z def call(args):
2022-11-23T01:32:31.9917453Z     arg0_1, = args
2022-11-23T01:32:31.9917529Z     args.clear()
2022-11-23T01:32:31.9917758Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9917849Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9917995Z     triton_fused_roll0.run(arg0_1, buf0, 100352, grid=grid(100352), stream=stream0)
2022-11-23T01:32:31.9918199Z     buf1 = empty_strided((100352, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9918343Z     triton_fused_roll_11.run(arg0_1, buf1, 100352, grid=grid(100352), stream=stream0)
2022-11-23T01:32:31.9918417Z     del arg0_1
2022-11-23T01:32:31.9918536Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T01:32:31.9918541Z 
2022-11-23T01:32:31.9918551Z 
2022-11-23T01:32:31.9918627Z if __name__ == "__main__":
2022-11-23T01:32:31.9918775Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9918906Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9919151Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9919266Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9919271Z 
2022-11-23T01:32:31.9919275Z 
2022-11-23T01:32:31.9919374Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9919450Z import torch
2022-11-23T01:32:31.9919519Z import random
2022-11-23T01:32:31.9919640Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9919764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9919769Z 
2022-11-23T01:32:31.9919852Z aten = torch.ops.aten
2022-11-23T01:32:31.9919991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9920088Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9920093Z 
2022-11-23T01:32:31.9920168Z import triton
2022-11-23T01:32:31.9920264Z import triton.language as tl
2022-11-23T01:32:31.9920385Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9920528Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9920534Z 
2022-11-23T01:32:31.9920538Z 
2022-11-23T01:32:31.9920693Z triton_fused_roll0 = async_compile.triton('''
2022-11-23T01:32:31.9920768Z import triton
2022-11-23T01:32:31.9920862Z import triton.language as tl
2022-11-23T01:32:31.9920978Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9921081Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9921209Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9921336Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9921341Z 
2022-11-23T01:32:31.9921716Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9921792Z @triton.jit
2022-11-23T01:32:31.9921925Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9922004Z     xnumel = 100352
2022-11-23T01:32:31.9922102Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9922232Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9922310Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9922386Z     x0 = xindex % 16
2022-11-23T01:32:31.9922469Z     x1 = (xindex // 16) % 56
2022-11-23T01:32:31.9922551Z     x2 = (xindex // 896) % 56
2022-11-23T01:32:31.9922631Z     x3 = (xindex // 50176)
2022-11-23T01:32:31.9922702Z     x4 = xindex
2022-11-23T01:32:31.9922855Z     tmp0 = tl.load(in_ptr0 + (x0 + (16*((46 + x1) % 56)) + (896*((3 + x2) % 56)) + (50176*x3)), xmask).to(tl.float32)
2022-11-23T01:32:31.9922984Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9923070Z ''')
2022-11-23T01:32:31.9923075Z 
2022-11-23T01:32:31.9923080Z 
2022-11-23T01:32:31.9923242Z triton_fused_roll_11 = async_compile.triton('''
2022-11-23T01:32:31.9923320Z import triton
2022-11-23T01:32:31.9923414Z import triton.language as tl
2022-11-23T01:32:31.9923531Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9923633Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9923768Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9923888Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9923894Z 
2022-11-23T01:32:31.9924267Z @pointwise(size_hints=[131072], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9924340Z @triton.jit
2022-11-23T01:32:31.9924473Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9924550Z     xnumel = 100352
2022-11-23T01:32:31.9924648Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9924805Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9924940Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9925006Z     x0 = xindex
2022-11-23T01:32:31.9925138Z     tmp0 = tl.load(in_ptr0 + ((100347 + x0) % 100352), xmask).to(tl.float32)
2022-11-23T01:32:31.9925275Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:31.9925363Z ''')
2022-11-23T01:32:31.9925369Z 
2022-11-23T01:32:31.9925373Z 
2022-11-23T01:32:31.9925466Z async_compile.wait(globals())
2022-11-23T01:32:31.9925543Z del async_compile
2022-11-23T01:32:31.9925548Z 
2022-11-23T01:32:31.9925624Z def call(args):
2022-11-23T01:32:31.9925699Z     arg0_1, = args
2022-11-23T01:32:31.9925769Z     args.clear()
2022-11-23T01:32:31.9925997Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9926090Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9926233Z     triton_fused_roll0.run(arg0_1, buf0, 100352, grid=grid(100352), stream=stream0)
2022-11-23T01:32:31.9926431Z     buf1 = empty_strided((100352, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9926577Z     triton_fused_roll_11.run(arg0_1, buf1, 100352, grid=grid(100352), stream=stream0)
2022-11-23T01:32:31.9926651Z     del arg0_1
2022-11-23T01:32:31.9926768Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T01:32:31.9926773Z 
2022-11-23T01:32:31.9926785Z 
2022-11-23T01:32:31.9926860Z if __name__ == "__main__":
2022-11-23T01:32:31.9926977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9927105Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9927330Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9927444Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:31.9927449Z 
2022-11-23T01:32:31.9927520Z ok (0.296s)
2022-11-23T01:32:31.9927703Z   test_round_correctness_cuda (__main__.CudaTests) ... skip: need to debug tl.libdevice on A100/V100 (0.001s)
2022-11-23T01:32:31.9928007Z   test_round_cuda (__main__.CudaTests) ... [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9928312Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9928534Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9928786Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9929065Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9929379Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9929727Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9930053Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9930430Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012> 
2022-11-23T01:32:31.9930534Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9930635Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:31.9930725Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9930821Z                6 CALL_METHOD              1
2022-11-23T01:32:31.9930921Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9931045Z               10 LOAD_METHOD              1 (round)
2022-11-23T01:32:31.9931161Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9931257Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9931337Z               16 BINARY_ADD
2022-11-23T01:32:31.9931426Z               18 CALL_METHOD              1
2022-11-23T01:32:31.9931524Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9931621Z               22 LOAD_ATTR                1 (round)
2022-11-23T01:32:31.9931716Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9931814Z               26 LOAD_CONST               2 (2)
2022-11-23T01:32:31.9931972Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T01:32:31.9932070Z               30 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.9932158Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.9932239Z               34 RETURN_VALUE
2022-11-23T01:32:31.9932307Z  
2022-11-23T01:32:31.9932312Z 
2022-11-23T01:32:31.9932629Z [2022-11-23 01:30:12,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013
2022-11-23T01:32:31.9932855Z [2022-11-23 01:30:12,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9933213Z [2022-11-23 01:30:12,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9933529Z [2022-11-23 01:30:12,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9933875Z [2022-11-23 01:30:12,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9934122Z [2022-11-23 01:30:12,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9934509Z [2022-11-23 01:30:12,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9934847Z [2022-11-23 01:30:12,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9935215Z [2022-11-23 01:30:12,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9935624Z [2022-11-23 01:30:12,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9935997Z [2022-11-23 01:30:12,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9936272Z [2022-11-23 01:30:12,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9936685Z [2022-11-23 01:30:12,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9937050Z [2022-11-23 01:30:12,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9937441Z [2022-11-23 01:30:12,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9937914Z [2022-11-23 01:30:12,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9938409Z [2022-11-23 01:30:12,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:31.9938707Z [2022-11-23 01:30:12,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9939070Z [2022-11-23 01:30:12,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9939446Z [2022-11-23 01:30:12,519] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012>
2022-11-23T01:32:31.9939696Z [2022-11-23 01:30:12,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9939925Z [2022-11-23 01:30:12,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9940180Z [2022-11-23 01:30:12,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9940431Z [2022-11-23 01:30:12,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9940627Z [2022-11-23 01:30:12,524] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9940772Z  __compiled_fn_676 <eval_with_key>.4179 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9940867Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9940960Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9941197Z call_function, round_1, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.9941369Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.9941598Z call_function, round_2, <built-in method round of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.9941843Z call_function, round_3, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {'decimals': 2}
2022-11-23T01:32:31.9941969Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T01:32:31.9941975Z 
2022-11-23T01:32:31.9942297Z [2022-11-23 01:30:12,524] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9942399Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9942498Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9942592Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9942691Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9942806Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9942917Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9943010Z              12 RETURN_VALUE
2022-11-23T01:32:31.9943015Z 
2022-11-23T01:32:31.9943081Z  
2022-11-23T01:32:31.9943400Z [2022-11-23 01:30:12,524] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9943518Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_676)
2022-11-23T01:32:31.9943615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9943706Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9943790Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9943884Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9943979Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9944060Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9944155Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9944310Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9944441Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9944538Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9944620Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9944729Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9944825Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9944908Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9945015Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9945104Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9945187Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9945281Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.9945363Z              38 RETURN_VALUE
2022-11-23T01:32:31.9945368Z 
2022-11-23T01:32:31.9945434Z  
2022-11-23T01:32:31.9945629Z [2022-11-23 01:30:12,525] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9945708Z  - 
2022-11-23T01:32:31.9945834Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9945897Z             {
2022-11-23T01:32:31.9946043Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9946237Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9946362Z                 'obj_weakref': None
2022-11-23T01:32:31.9946589Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9946658Z             }
2022-11-23T01:32:31.9946726Z             
2022-11-23T01:32:31.9946795Z  - 
2022-11-23T01:32:31.9946926Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9946996Z             {
2022-11-23T01:32:31.9947142Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9947254Z                 'code': None,
2022-11-23T01:32:31.9947471Z                 'obj_weakref': <weakref at 0x7f1fd9a8fba0; to 'Tensor' at 0x7f1fd9b99260>
2022-11-23T01:32:31.9947725Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9947791Z             }
2022-11-23T01:32:31.9947859Z             
2022-11-23T01:32:31.9947934Z  - 
2022-11-23T01:32:31.9948061Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9948130Z             {
2022-11-23T01:32:31.9948276Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9948382Z                 'code': None,
2022-11-23T01:32:31.9948595Z                 'obj_weakref': <weakref at 0x7f1fd9a8d080; to 'Tensor' at 0x7f1fd9b9a980>
2022-11-23T01:32:31.9948848Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9948917Z             }
2022-11-23T01:32:31.9948987Z             
2022-11-23T01:32:31.9949062Z  - 
2022-11-23T01:32:31.9949196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9949265Z             {
2022-11-23T01:32:31.9949401Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9949580Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9949704Z                 'obj_weakref': None
2022-11-23T01:32:31.9949939Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9950009Z             }
2022-11-23T01:32:31.9950079Z             
2022-11-23T01:32:31.9950154Z  - 
2022-11-23T01:32:31.9950332Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9950418Z             {
2022-11-23T01:32:31.9950584Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9950804Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9950928Z                 'obj_weakref': None
2022-11-23T01:32:31.9951151Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9951222Z             }
2022-11-23T01:32:31.9951317Z             
2022-11-23T01:32:31.9951395Z  - 
2022-11-23T01:32:31.9951555Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9951625Z             {
2022-11-23T01:32:31.9951751Z                 'guard_types': None,
2022-11-23T01:32:31.9951863Z                 'code': None,
2022-11-23T01:32:31.9951978Z                 'obj_weakref': None
2022-11-23T01:32:31.9952104Z                 'guarded_class': None
2022-11-23T01:32:31.9952173Z             }
2022-11-23T01:32:31.9952255Z             
2022-11-23T01:32:31.9952555Z [2022-11-23 01:30:12,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 659
2022-11-23T01:32:31.9952851Z [2022-11-23 01:30:12,542] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.9953099Z [2022-11-23 01:30:12,544] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9953468Z [2022-11-23 01:30:12,689] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vp/cvpoeakvxkjjdacowglenr62mhla7t4i7e2e2sgtpwkpdqtjezno.py
2022-11-23T01:32:31.9953737Z [2022-11-23 01:30:12,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 659
2022-11-23T01:32:31.9953972Z [2022-11-23 01:30:12,692] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9954292Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9954514Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9954770Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9955051Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:31.9955374Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9955723Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9956047Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:31.9956422Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012> 
2022-11-23T01:32:31.9956528Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9956624Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:31.9956721Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9956821Z                6 CALL_METHOD              1
2022-11-23T01:32:31.9956924Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9957025Z               10 LOAD_METHOD              1 (round)
2022-11-23T01:32:31.9957124Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:31.9957220Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:31.9957293Z               16 BINARY_ADD
2022-11-23T01:32:31.9957389Z               18 CALL_METHOD              1
2022-11-23T01:32:31.9957488Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:31.9957583Z               22 LOAD_ATTR                1 (round)
2022-11-23T01:32:31.9957679Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:31.9957774Z               26 LOAD_CONST               2 (2)
2022-11-23T01:32:31.9957935Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T01:32:31.9958027Z               30 CALL_FUNCTION_KW         2
2022-11-23T01:32:31.9958123Z               32 BUILD_TUPLE              3
2022-11-23T01:32:31.9958234Z               34 RETURN_VALUE
2022-11-23T01:32:31.9958339Z  
2022-11-23T01:32:31.9958345Z 
2022-11-23T01:32:31.9958662Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013
2022-11-23T01:32:31.9958889Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:31.9959255Z [2022-11-23 01:30:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9959579Z [2022-11-23 01:30:12,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9959931Z [2022-11-23 01:30:12,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9960172Z [2022-11-23 01:30:12,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:31.9960569Z [2022-11-23 01:30:12,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9960915Z [2022-11-23 01:30:12,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9961286Z [2022-11-23 01:30:12,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9961693Z [2022-11-23 01:30:12,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9962073Z [2022-11-23 01:30:12,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9962348Z [2022-11-23 01:30:12,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9962767Z [2022-11-23 01:30:12,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:31.9963137Z [2022-11-23 01:30:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>)]
2022-11-23T01:32:31.9963532Z [2022-11-23 01:30:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:31.9963980Z [2022-11-23 01:30:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:31.9964455Z [2022-11-23 01:30:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:31.9964753Z [2022-11-23 01:30:12,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:31.9965002Z [2022-11-23 01:30:12,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9965404Z [2022-11-23 01:30:12,698] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f200e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012>
2022-11-23T01:32:31.9965668Z [2022-11-23 01:30:12,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:31.9965905Z [2022-11-23 01:30:12,698] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:31.9966162Z [2022-11-23 01:30:12,699] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:31.9966417Z [2022-11-23 01:30:12,702] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:31.9966613Z [2022-11-23 01:30:12,703] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:31.9966756Z  __compiled_fn_677 <eval_with_key>.4185 opcode, name, target, args, kwargs
2022-11-23T01:32:31.9966849Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:31.9966943Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:31.9967174Z call_function, round_1, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:31.9967353Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:31.9967581Z call_function, round_2, <built-in method round of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:31.9967829Z call_function, round_3, <built-in method round of type object at 0x7f209c394c60>, (ex_0_,), {'decimals': 2}
2022-11-23T01:32:31.9967955Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T01:32:31.9967961Z 
2022-11-23T01:32:31.9968289Z [2022-11-23 01:30:12,703] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9968389Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:31.9968486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9968583Z               4 BUILD_MAP                0
2022-11-23T01:32:31.9968679Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:31.9968771Z               8 DICT_MERGE               1
2022-11-23T01:32:31.9968867Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:31.9968953Z              12 RETURN_VALUE
2022-11-23T01:32:31.9968958Z 
2022-11-23T01:32:31.9969023Z  
2022-11-23T01:32:31.9969345Z [2022-11-23 01:30:12,703] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:31.9969462Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_677)
2022-11-23T01:32:31.9969554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9969651Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9969736Z               6 BINARY_SUBSCR
2022-11-23T01:32:31.9969832Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:31.9969929Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9970013Z              12 BINARY_SUBSCR
2022-11-23T01:32:31.9970110Z              14 CALL_FUNCTION            2
2022-11-23T01:32:31.9970217Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:31.9970328Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9970424Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:31.9970506Z              22 BINARY_SUBSCR
2022-11-23T01:32:31.9970615Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9970709Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:31.9970790Z              28 BINARY_SUBSCR
2022-11-23T01:32:31.9970898Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:31.9970988Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:31.9971069Z              34 BINARY_SUBSCR
2022-11-23T01:32:31.9971164Z              36 BUILD_TUPLE              3
2022-11-23T01:32:31.9971244Z              38 RETURN_VALUE
2022-11-23T01:32:31.9971284Z 
2022-11-23T01:32:31.9971352Z  
2022-11-23T01:32:31.9971564Z [2022-11-23 01:30:12,704] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:31.9971640Z  - 
2022-11-23T01:32:31.9971760Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:31.9971831Z             {
2022-11-23T01:32:31.9971978Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:31.9972171Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:31.9972297Z                 'obj_weakref': None
2022-11-23T01:32:31.9972520Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:31.9972598Z             }
2022-11-23T01:32:31.9972677Z             
2022-11-23T01:32:31.9972761Z  - 
2022-11-23T01:32:31.9972909Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:31.9972978Z             {
2022-11-23T01:32:31.9973124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9973238Z                 'code': None,
2022-11-23T01:32:31.9973456Z                 'obj_weakref': <weakref at 0x7f2022eafc90; to 'Tensor' at 0x7f1fe0358630>
2022-11-23T01:32:31.9973703Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9973773Z             }
2022-11-23T01:32:31.9973842Z             
2022-11-23T01:32:31.9973918Z  - 
2022-11-23T01:32:31.9974046Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:31.9974113Z             {
2022-11-23T01:32:31.9974261Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:31.9974367Z                 'code': None,
2022-11-23T01:32:31.9974581Z                 'obj_weakref': <weakref at 0x7f2022eaf0b0; to 'Tensor' at 0x7f201e34d2b0>
2022-11-23T01:32:31.9974831Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:31.9974901Z             }
2022-11-23T01:32:31.9974969Z             
2022-11-23T01:32:31.9975042Z  - 
2022-11-23T01:32:31.9975178Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:31.9975244Z             {
2022-11-23T01:32:31.9975385Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:31.9975562Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:31.9975686Z                 'obj_weakref': None
2022-11-23T01:32:31.9975918Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:31.9975986Z             }
2022-11-23T01:32:31.9976054Z             
2022-11-23T01:32:31.9976122Z  - 
2022-11-23T01:32:31.9976249Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:31.9976318Z             {
2022-11-23T01:32:31.9976460Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:31.9976681Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:31.9976804Z                 'obj_weakref': None
2022-11-23T01:32:31.9977031Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:31.9977096Z             }
2022-11-23T01:32:31.9977164Z             
2022-11-23T01:32:31.9977240Z  - 
2022-11-23T01:32:31.9977379Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:31.9977450Z             {
2022-11-23T01:32:31.9977574Z                 'guard_types': None,
2022-11-23T01:32:31.9977686Z                 'code': None,
2022-11-23T01:32:31.9977803Z                 'obj_weakref': None
2022-11-23T01:32:31.9977930Z                 'guarded_class': None
2022-11-23T01:32:31.9977998Z             }
2022-11-23T01:32:31.9978067Z             
2022-11-23T01:32:31.9978333Z [2022-11-23 01:30:12,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 660
2022-11-23T01:32:31.9978630Z [2022-11-23 01:30:12,721] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf2')]
2022-11-23T01:32:31.9979046Z [2022-11-23 01:30:12,722] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:31.9979426Z [2022-11-23 01:30:12,867] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rt/crtri4xtyd7q2gc4vb2a6t32c7o35eca5jkr3s5enxammz6a6g4w.py
2022-11-23T01:32:31.9979700Z [2022-11-23 01:30:12,868] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 660
2022-11-23T01:32:31.9979705Z 
2022-11-23T01:32:31.9979808Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9979883Z import torch
2022-11-23T01:32:31.9979960Z import random
2022-11-23T01:32:31.9980087Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9980215Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9980220Z 
2022-11-23T01:32:31.9980303Z aten = torch.ops.aten
2022-11-23T01:32:31.9980437Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9980537Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9980542Z 
2022-11-23T01:32:31.9980619Z import triton
2022-11-23T01:32:31.9980714Z import triton.language as tl
2022-11-23T01:32:31.9980849Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9980993Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9980999Z 
2022-11-23T01:32:31.9981003Z 
2022-11-23T01:32:31.9981197Z triton_fused_mul_1_mul_round_3_round_10 = async_compile.triton('''
2022-11-23T01:32:31.9981272Z import triton
2022-11-23T01:32:31.9981359Z import triton.language as tl
2022-11-23T01:32:31.9981475Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9981580Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9981717Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9981844Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9981849Z 
2022-11-23T01:32:31.9982250Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.9982332Z @triton.jit
2022-11-23T01:32:31.9982479Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9982547Z     xnumel = 64
2022-11-23T01:32:31.9982645Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9982777Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9982861Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9982932Z     x0 = xindex
2022-11-23T01:32:31.9983031Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.9983137Z     tmp1 = tl.libdevice.nearbyint(tmp0)
2022-11-23T01:32:31.9983206Z     tmp2 = 100.0
2022-11-23T01:32:31.9983286Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.9983392Z     tmp4 = tl.libdevice.nearbyint(tmp3)
2022-11-23T01:32:31.9983466Z     tmp5 = 0.01
2022-11-23T01:32:31.9983546Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:31.9983686Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.9983821Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.9983906Z ''')
2022-11-23T01:32:31.9983912Z 
2022-11-23T01:32:31.9983924Z 
2022-11-23T01:32:31.9984086Z triton_fused_add_round_21 = async_compile.triton('''
2022-11-23T01:32:31.9984162Z import triton
2022-11-23T01:32:31.9984255Z import triton.language as tl
2022-11-23T01:32:31.9984369Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9984471Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9984611Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9984739Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9984745Z 
2022-11-23T01:32:31.9985117Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9985192Z @triton.jit
2022-11-23T01:32:31.9985356Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9985454Z     xnumel = 64
2022-11-23T01:32:31.9985553Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9985685Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9985769Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9985835Z     x0 = xindex
2022-11-23T01:32:31.9985934Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:31.9986007Z     tmp1 = 1
2022-11-23T01:32:31.9986087Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.9986192Z     tmp3 = tl.libdevice.nearbyint(tmp2)
2022-11-23T01:32:31.9986329Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.9986418Z ''')
2022-11-23T01:32:31.9986423Z 
2022-11-23T01:32:31.9986428Z 
2022-11-23T01:32:31.9986521Z async_compile.wait(globals())
2022-11-23T01:32:31.9986592Z del async_compile
2022-11-23T01:32:31.9986597Z 
2022-11-23T01:32:31.9986671Z def call(args):
2022-11-23T01:32:31.9986754Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9986834Z     args.clear()
2022-11-23T01:32:31.9987036Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9987234Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9987327Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9987483Z     triton_fused_mul_1_mul_round_3_round_10.run(arg0_1, buf0, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9987557Z     del arg0_1
2022-11-23T01:32:31.9987756Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9987901Z     triton_fused_add_round_21.run(arg1_1, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9987974Z     del arg1_1
2022-11-23T01:32:31.9988063Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.9988068Z 
2022-11-23T01:32:31.9988073Z 
2022-11-23T01:32:31.9988156Z if __name__ == "__main__":
2022-11-23T01:32:31.9988278Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9988403Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9988603Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9988801Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:31.9988922Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9988928Z 
2022-11-23T01:32:31.9988932Z 
2022-11-23T01:32:31.9989031Z from ctypes import c_void_p, c_long
2022-11-23T01:32:31.9989106Z import torch
2022-11-23T01:32:31.9989180Z import random
2022-11-23T01:32:31.9989300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:31.9989419Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:31.9989425Z 
2022-11-23T01:32:31.9989509Z aten = torch.ops.aten
2022-11-23T01:32:31.9989648Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:31.9989745Z async_compile = AsyncCompile()
2022-11-23T01:32:31.9989752Z 
2022-11-23T01:32:31.9989829Z import triton
2022-11-23T01:32:31.9989923Z import triton.language as tl
2022-11-23T01:32:31.9990049Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:31.9990184Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:31.9990197Z 
2022-11-23T01:32:31.9990201Z 
2022-11-23T01:32:31.9990527Z triton_fused_round_3_mul_1_round_1_mul0 = async_compile.triton('''
2022-11-23T01:32:31.9990617Z import triton
2022-11-23T01:32:31.9990724Z import triton.language as tl
2022-11-23T01:32:31.9990863Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9990967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9991101Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9991227Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9991232Z 
2022-11-23T01:32:31.9991658Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:31.9991745Z @triton.jit
2022-11-23T01:32:31.9991890Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9991964Z     xnumel = 64
2022-11-23T01:32:31.9992062Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9992201Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9992302Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9992378Z     x0 = xindex
2022-11-23T01:32:31.9992510Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9992616Z     tmp1 = tl.libdevice.nearbyint(tmp0)
2022-11-23T01:32:31.9992689Z     tmp2 = 100.0
2022-11-23T01:32:31.9992772Z     tmp3 = tmp0 * tmp2
2022-11-23T01:32:31.9992877Z     tmp4 = tl.libdevice.nearbyint(tmp3)
2022-11-23T01:32:31.9992951Z     tmp5 = 0.01
2022-11-23T01:32:31.9993030Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:31.9993163Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:31.9993299Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:31.9993387Z ''')
2022-11-23T01:32:31.9993392Z 
2022-11-23T01:32:31.9993397Z 
2022-11-23T01:32:31.9993567Z triton_fused_add_round_21 = async_compile.triton('''
2022-11-23T01:32:31.9993643Z import triton
2022-11-23T01:32:31.9993736Z import triton.language as tl
2022-11-23T01:32:31.9993851Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:31.9993948Z from torch._inductor.ir import TileHint
2022-11-23T01:32:31.9994081Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:31.9994210Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:31.9994215Z 
2022-11-23T01:32:31.9994593Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:31.9994668Z @triton.jit
2022-11-23T01:32:31.9994806Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:31.9994879Z     xnumel = 64
2022-11-23T01:32:31.9994980Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:31.9995105Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:31.9995190Z     xmask = xindex < xnumel
2022-11-23T01:32:31.9995262Z     x0 = xindex
2022-11-23T01:32:31.9995382Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:31.9995453Z     tmp1 = 1
2022-11-23T01:32:31.9995534Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:31.9995641Z     tmp3 = tl.libdevice.nearbyint(tmp2)
2022-11-23T01:32:31.9995769Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:31.9995856Z ''')
2022-11-23T01:32:31.9995862Z 
2022-11-23T01:32:31.9995866Z 
2022-11-23T01:32:31.9995959Z async_compile.wait(globals())
2022-11-23T01:32:31.9996036Z del async_compile
2022-11-23T01:32:31.9996044Z 
2022-11-23T01:32:31.9996119Z def call(args):
2022-11-23T01:32:31.9996203Z     arg0_1, arg1_1 = args
2022-11-23T01:32:31.9996279Z     args.clear()
2022-11-23T01:32:31.9996478Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9996669Z     buf2 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9996761Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:31.9996924Z     triton_fused_round_3_mul_1_round_1_mul0.run(arg0_1, buf0, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9996997Z     del arg0_1
2022-11-23T01:32:31.9997193Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9997336Z     triton_fused_add_round_21.run(arg1_1, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:31.9997410Z     del arg1_1
2022-11-23T01:32:31.9997492Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:31.9997497Z 
2022-11-23T01:32:31.9997508Z 
2022-11-23T01:32:31.9997611Z if __name__ == "__main__":
2022-11-23T01:32:31.9997752Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:31.9997880Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:31.9998080Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9998277Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:31.9998398Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:31.9998403Z 
2022-11-23T01:32:31.9998473Z ok (0.360s)
2022-11-23T01:32:31.9998775Z   test_rsqrt_cuda (__main__.CudaTests) ... [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:31.9999095Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:31.9999323Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:31.9999582Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:31.9999867Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0000184Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0000523Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0000841Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0001212Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638> 
2022-11-23T01:32:32.0001316Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0001410Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:32.0001509Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0001605Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0001704Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0001801Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:32.0001897Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0001992Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0002071Z               16 BINARY_ADD
2022-11-23T01:32:32.0002160Z               18 CALL_METHOD              1
2022-11-23T01:32:32.0002254Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0002341Z               22 BINARY_SUBTRACT
2022-11-23T01:32:32.0002436Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0002516Z               26 RETURN_VALUE
2022-11-23T01:32:32.0002585Z  
2022-11-23T01:32:32.0002590Z 
2022-11-23T01:32:32.0002902Z [2022-11-23 01:30:12,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639
2022-11-23T01:32:32.0003117Z [2022-11-23 01:30:12,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0003475Z [2022-11-23 01:30:12,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0003793Z [2022-11-23 01:30:12,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0004163Z [2022-11-23 01:30:12,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0004438Z [2022-11-23 01:30:12,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0004824Z [2022-11-23 01:30:12,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0005164Z [2022-11-23 01:30:12,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0005531Z [2022-11-23 01:30:12,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0005944Z [2022-11-23 01:30:12,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0006319Z [2022-11-23 01:30:12,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0006585Z [2022-11-23 01:30:12,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0006899Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0007166Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0007407Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0007781Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638>
2022-11-23T01:32:32.0008032Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0008266Z [2022-11-23 01:30:12,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0008521Z [2022-11-23 01:30:12,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0008773Z [2022-11-23 01:30:12,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0008965Z [2022-11-23 01:30:12,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0009105Z  __compiled_fn_678 <eval_with_key>.4191 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0009200Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0009423Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0009602Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0009825Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0010002Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T01:32:32.0010114Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T01:32:32.0010120Z 
2022-11-23T01:32:32.0010444Z [2022-11-23 01:30:12,881] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0010544Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0010641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0010728Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0010831Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0010924Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0011043Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0011147Z              12 RETURN_VALUE
2022-11-23T01:32:32.0011152Z 
2022-11-23T01:32:32.0011219Z  
2022-11-23T01:32:32.0011538Z [2022-11-23 01:30:12,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0011656Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_678)
2022-11-23T01:32:32.0011748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0011845Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0011929Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0012023Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0012134Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0012245Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0012340Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0012419Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0012530Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0012629Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0012712Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0012805Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0012886Z              26 RETURN_VALUE
2022-11-23T01:32:32.0012891Z 
2022-11-23T01:32:32.0012956Z  
2022-11-23T01:32:32.0013140Z [2022-11-23 01:30:12,882] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0013217Z  - 
2022-11-23T01:32:32.0013344Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0013413Z             {
2022-11-23T01:32:32.0013559Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0013749Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0013876Z                 'obj_weakref': None
2022-11-23T01:32:32.0014097Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0014172Z             }
2022-11-23T01:32:32.0014241Z             
2022-11-23T01:32:32.0014318Z  - 
2022-11-23T01:32:32.0014447Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0014516Z             {
2022-11-23T01:32:32.0014664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0014770Z                 'code': None,
2022-11-23T01:32:32.0014982Z                 'obj_weakref': <weakref at 0x7f1ff8159f30; to 'Tensor' at 0x7f1feadaac00>
2022-11-23T01:32:32.0015233Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0015303Z             }
2022-11-23T01:32:32.0015372Z             
2022-11-23T01:32:32.0015448Z  - 
2022-11-23T01:32:32.0015585Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0015648Z             {
2022-11-23T01:32:32.0015793Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0015969Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0016095Z                 'obj_weakref': None
2022-11-23T01:32:32.0016323Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0016394Z             }
2022-11-23T01:32:32.0016464Z             
2022-11-23T01:32:32.0016533Z  - 
2022-11-23T01:32:32.0016660Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0016729Z             {
2022-11-23T01:32:32.0016869Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0017086Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0017207Z                 'obj_weakref': None
2022-11-23T01:32:32.0017429Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0017491Z             }
2022-11-23T01:32:32.0017562Z             
2022-11-23T01:32:32.0017640Z  - 
2022-11-23T01:32:32.0017817Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0017890Z             {
2022-11-23T01:32:32.0018036Z                 'guard_types': None,
2022-11-23T01:32:32.0018147Z                 'code': None,
2022-11-23T01:32:32.0018263Z                 'obj_weakref': None
2022-11-23T01:32:32.0018388Z                 'guarded_class': None
2022-11-23T01:32:32.0018458Z             }
2022-11-23T01:32:32.0018529Z             
2022-11-23T01:32:32.0018894Z [2022-11-23 01:30:12,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 661
2022-11-23T01:32:32.0019189Z [2022-11-23 01:30:12,895] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0019554Z [2022-11-23 01:30:12,967] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ng/cngjnlz34wajstbnonvqmlj7alw4nwzlnutgtgf4cgjrd6vd6mu3.py
2022-11-23T01:32:32.0019821Z [2022-11-23 01:30:12,967] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 661
2022-11-23T01:32:32.0020054Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0020368Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0020590Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0020847Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0021123Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0021446Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0021795Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0022121Z [2022-11-23 01:30:12,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0022495Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638> 
2022-11-23T01:32:32.0022600Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0022696Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:32.0022794Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0022891Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0022992Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0023092Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:32.0023190Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0023293Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0023367Z               16 BINARY_ADD
2022-11-23T01:32:32.0023463Z               18 CALL_METHOD              1
2022-11-23T01:32:32.0023558Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0023646Z               22 BINARY_SUBTRACT
2022-11-23T01:32:32.0023741Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0023824Z               26 RETURN_VALUE
2022-11-23T01:32:32.0023890Z  
2022-11-23T01:32:32.0023896Z 
2022-11-23T01:32:32.0024208Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639
2022-11-23T01:32:32.0024432Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0024833Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0025177Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0025521Z [2022-11-23 01:30:12,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0025768Z [2022-11-23 01:30:12,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0026151Z [2022-11-23 01:30:12,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0026493Z [2022-11-23 01:30:12,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0026862Z [2022-11-23 01:30:12,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0027269Z [2022-11-23 01:30:12,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0027639Z [2022-11-23 01:30:12,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0027905Z [2022-11-23 01:30:12,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0028219Z [2022-11-23 01:30:12,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0028479Z [2022-11-23 01:30:12,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0028729Z [2022-11-23 01:30:12,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0029102Z [2022-11-23 01:30:12,975] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638>
2022-11-23T01:32:32.0029349Z [2022-11-23 01:30:12,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0029583Z [2022-11-23 01:30:12,975] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0029838Z [2022-11-23 01:30:12,976] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0030091Z [2022-11-23 01:30:12,980] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0030371Z [2022-11-23 01:30:12,981] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0030530Z  __compiled_fn_679 <eval_with_key>.4197 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0030632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0030891Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0031094Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0031317Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0031494Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T01:32:32.0031604Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T01:32:32.0031610Z 
2022-11-23T01:32:32.0031987Z [2022-11-23 01:30:12,981] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0032090Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0032216Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0032322Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0032440Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0032537Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0032630Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0032711Z              12 RETURN_VALUE
2022-11-23T01:32:32.0032717Z 
2022-11-23T01:32:32.0032783Z  
2022-11-23T01:32:32.0033098Z [2022-11-23 01:30:12,981] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0033209Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_679)
2022-11-23T01:32:32.0033307Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0033404Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0033490Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0033585Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0033696Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0033805Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0033894Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0033977Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0034085Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0034180Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0034264Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0034357Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0034440Z              26 RETURN_VALUE
2022-11-23T01:32:32.0034445Z 
2022-11-23T01:32:32.0034504Z  
2022-11-23T01:32:32.0034691Z [2022-11-23 01:30:12,982] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0034767Z  - 
2022-11-23T01:32:32.0034893Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0034967Z             {
2022-11-23T01:32:32.0035111Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0035299Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0035416Z                 'obj_weakref': None
2022-11-23T01:32:32.0035639Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0035708Z             }
2022-11-23T01:32:32.0035777Z             
2022-11-23T01:32:32.0035853Z  - 
2022-11-23T01:32:32.0035982Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0036051Z             {
2022-11-23T01:32:32.0036190Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0036301Z                 'code': None,
2022-11-23T01:32:32.0036511Z                 'obj_weakref': <weakref at 0x7f1fe03c2200; to 'Tensor' at 0x7f20233789f0>
2022-11-23T01:32:32.0036762Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0036836Z             }
2022-11-23T01:32:32.0036904Z             
2022-11-23T01:32:32.0036981Z  - 
2022-11-23T01:32:32.0037109Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0037178Z             {
2022-11-23T01:32:32.0037315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0037487Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0037610Z                 'obj_weakref': None
2022-11-23T01:32:32.0037838Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0037906Z             }
2022-11-23T01:32:32.0037968Z             
2022-11-23T01:32:32.0038042Z  - 
2022-11-23T01:32:32.0038167Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0038235Z             {
2022-11-23T01:32:32.0038372Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0038619Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0038762Z                 'obj_weakref': None
2022-11-23T01:32:32.0038976Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0039045Z             }
2022-11-23T01:32:32.0039115Z             
2022-11-23T01:32:32.0039190Z  - 
2022-11-23T01:32:32.0039327Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0039396Z             {
2022-11-23T01:32:32.0039520Z                 'guard_types': None,
2022-11-23T01:32:32.0039625Z                 'code': None,
2022-11-23T01:32:32.0039747Z                 'obj_weakref': None
2022-11-23T01:32:32.0039875Z                 'guarded_class': None
2022-11-23T01:32:32.0039945Z             }
2022-11-23T01:32:32.0040014Z             
2022-11-23T01:32:32.0040274Z [2022-11-23 01:30:12,988] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 662
2022-11-23T01:32:32.0040570Z [2022-11-23 01:30:12,995] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0040932Z [2022-11-23 01:30:13,067] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lj/cljlmszrhx4lv7bu3t5ifgbiox62fdjykoivqabp7daerkljqqeh.py
2022-11-23T01:32:32.0041190Z [2022-11-23 01:30:13,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 662
2022-11-23T01:32:32.0041202Z 
2022-11-23T01:32:32.0041296Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0041370Z import torch
2022-11-23T01:32:32.0041448Z import random
2022-11-23T01:32:32.0041569Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0041695Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0041701Z 
2022-11-23T01:32:32.0041784Z aten = torch.ops.aten
2022-11-23T01:32:32.0041924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0042015Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0042022Z 
2022-11-23T01:32:32.0042097Z import triton
2022-11-23T01:32:32.0042196Z import triton.language as tl
2022-11-23T01:32:32.0042325Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0042469Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0042474Z 
2022-11-23T01:32:32.0042479Z 
2022-11-23T01:32:32.0042703Z triton_fused_sqrt_1_reciprocal_sqrt_reciprocal_1_add_sub0 = async_compile.triton('''
2022-11-23T01:32:32.0042785Z import triton
2022-11-23T01:32:32.0042895Z import triton.language as tl
2022-11-23T01:32:32.0043021Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0043133Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0043267Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0049753Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0049765Z 
2022-11-23T01:32:32.0050197Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0050282Z @triton.jit
2022-11-23T01:32:32.0050435Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0050514Z     xnumel = 64
2022-11-23T01:32:32.0050608Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0050742Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0050829Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0050902Z     x0 = xindex
2022-11-23T01:32:32.0051002Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0051087Z     tmp1 = tl.sqrt(tmp0)
2022-11-23T01:32:32.0051156Z     tmp2 = 1 / tmp1
2022-11-23T01:32:32.0051228Z     tmp3 = 1
2022-11-23T01:32:32.0051309Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.0051395Z     tmp5 = tl.sqrt(tmp4)
2022-11-23T01:32:32.0051470Z     tmp6 = 1 / tmp5
2022-11-23T01:32:32.0051542Z     tmp7 = 2
2022-11-23T01:32:32.0051709Z     tmp8 = tmp6 - tmp7
2022-11-23T01:32:32.0051865Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0052004Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.0052092Z ''')
2022-11-23T01:32:32.0052098Z 
2022-11-23T01:32:32.0052102Z 
2022-11-23T01:32:32.0052198Z async_compile.wait(globals())
2022-11-23T01:32:32.0052281Z del async_compile
2022-11-23T01:32:32.0052286Z 
2022-11-23T01:32:32.0052361Z def call(args):
2022-11-23T01:32:32.0052435Z     arg0_1, = args
2022-11-23T01:32:32.0052512Z     args.clear()
2022-11-23T01:32:32.0052722Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0052946Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0053041Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0053234Z     triton_fused_sqrt_1_reciprocal_sqrt_reciprocal_1_add_sub0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0053309Z     del arg0_1
2022-11-23T01:32:32.0053395Z     return (buf0, buf1, )
2022-11-23T01:32:32.0053400Z 
2022-11-23T01:32:32.0053404Z 
2022-11-23T01:32:32.0053486Z if __name__ == "__main__":
2022-11-23T01:32:32.0053607Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0053730Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0053929Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0054045Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0054050Z 
2022-11-23T01:32:32.0054055Z 
2022-11-23T01:32:32.0054155Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0054231Z import torch
2022-11-23T01:32:32.0054307Z import random
2022-11-23T01:32:32.0054428Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0054546Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0054560Z 
2022-11-23T01:32:32.0054636Z aten = torch.ops.aten
2022-11-23T01:32:32.0054783Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0054886Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0054891Z 
2022-11-23T01:32:32.0054967Z import triton
2022-11-23T01:32:32.0055061Z import triton.language as tl
2022-11-23T01:32:32.0055191Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0055338Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0055343Z 
2022-11-23T01:32:32.0055348Z 
2022-11-23T01:32:32.0055574Z triton_fused_reciprocal_1_reciprocal_sqrt_1_sub_sqrt_add0 = async_compile.triton('''
2022-11-23T01:32:32.0055643Z import triton
2022-11-23T01:32:32.0055735Z import triton.language as tl
2022-11-23T01:32:32.0055852Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0055956Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0056098Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0056229Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0056236Z 
2022-11-23T01:32:32.0056624Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0056691Z @triton.jit
2022-11-23T01:32:32.0056837Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0056915Z     xnumel = 64
2022-11-23T01:32:32.0057015Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0057148Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0057233Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0057307Z     x0 = xindex
2022-11-23T01:32:32.0057419Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0057505Z     tmp1 = tl.sqrt(tmp0)
2022-11-23T01:32:32.0057581Z     tmp2 = 1 / tmp1
2022-11-23T01:32:32.0057653Z     tmp3 = 1
2022-11-23T01:32:32.0057762Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.0057847Z     tmp5 = tl.sqrt(tmp4)
2022-11-23T01:32:32.0057956Z     tmp6 = 1 / tmp5
2022-11-23T01:32:32.0058020Z     tmp7 = 2
2022-11-23T01:32:32.0058134Z     tmp8 = tmp6 - tmp7
2022-11-23T01:32:32.0058274Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0058411Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.0058499Z ''')
2022-11-23T01:32:32.0058504Z 
2022-11-23T01:32:32.0058509Z 
2022-11-23T01:32:32.0058605Z async_compile.wait(globals())
2022-11-23T01:32:32.0058682Z del async_compile
2022-11-23T01:32:32.0058687Z 
2022-11-23T01:32:32.0058765Z def call(args):
2022-11-23T01:32:32.0059074Z     arg0_1, = args
2022-11-23T01:32:32.0059155Z     args.clear()
2022-11-23T01:32:32.0059359Z     buf0 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0059554Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0059651Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0059843Z     triton_fused_reciprocal_1_reciprocal_sqrt_1_sub_sqrt_add0.run(arg0_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0059917Z     del arg0_1
2022-11-23T01:32:32.0059992Z     return (buf0, buf1, )
2022-11-23T01:32:32.0059998Z 
2022-11-23T01:32:32.0060012Z 
2022-11-23T01:32:32.0060086Z if __name__ == "__main__":
2022-11-23T01:32:32.0060206Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0060335Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0060532Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0060648Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0060653Z 
2022-11-23T01:32:32.0060725Z ok (0.199s)
2022-11-23T01:32:32.0061036Z   test_scatter1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0061347Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0061571Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0061828Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0062104Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0062421Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0062762Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0063084Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0063455Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669> 
2022-11-23T01:32:32.0063558Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0063662Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:32.0063753Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0063853Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0063953Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0064050Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0064147Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0064231Z               14 RETURN_VALUE
2022-11-23T01:32:32.0064298Z  
2022-11-23T01:32:32.0064303Z 
2022-11-23T01:32:32.0064672Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670
2022-11-23T01:32:32.0064911Z [2022-11-23 01:30:13,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0065220Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0065475Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:32.0065759Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:32.0066078Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0066421Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0066797Z [2022-11-23 01:30:13,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0067045Z [2022-11-23 01:30:13,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0067416Z [2022-11-23 01:30:13,081] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669>
2022-11-23T01:32:32.0067661Z [2022-11-23 01:30:13,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0067897Z [2022-11-23 01:30:13,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0068146Z [2022-11-23 01:30:13,082] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0068400Z [2022-11-23 01:30:13,085] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0068591Z [2022-11-23 01:30:13,085] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0068732Z  __compiled_fn_680 <eval_with_key>.4203 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0068829Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0068924Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0069016Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0069195Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0069304Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0069310Z 
2022-11-23T01:32:32.0069636Z [2022-11-23 01:30:13,085] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0069740Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0069840Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0069935Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0070037Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0070129Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0070217Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0070370Z              12 RETURN_VALUE
2022-11-23T01:32:32.0070376Z 
2022-11-23T01:32:32.0070457Z  
2022-11-23T01:32:32.0070793Z [2022-11-23 01:30:13,086] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0070912Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_680)
2022-11-23T01:32:32.0071009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0071108Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0071223Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0071332Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0071430Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0071511Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0071605Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0071698Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0071780Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0071875Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0071965Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0072050Z              24 RETURN_VALUE
2022-11-23T01:32:32.0072055Z 
2022-11-23T01:32:32.0072120Z  
2022-11-23T01:32:32.0072311Z [2022-11-23 01:30:13,086] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0072387Z  - 
2022-11-23T01:32:32.0072513Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0072582Z             {
2022-11-23T01:32:32.0072739Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0072960Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0073089Z                 'obj_weakref': None
2022-11-23T01:32:32.0073314Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0073384Z             }
2022-11-23T01:32:32.0073453Z             
2022-11-23T01:32:32.0073530Z  - 
2022-11-23T01:32:32.0073651Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0073720Z             {
2022-11-23T01:32:32.0073868Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0073981Z                 'code': None,
2022-11-23T01:32:32.0074197Z                 'obj_weakref': <weakref at 0x7f1ff815be70; to 'Tensor' at 0x7f1feada9530>
2022-11-23T01:32:32.0074445Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0074517Z             }
2022-11-23T01:32:32.0074582Z             
2022-11-23T01:32:32.0074658Z  - 
2022-11-23T01:32:32.0074794Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0074865Z             {
2022-11-23T01:32:32.0075009Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0075204Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == -1'],
2022-11-23T01:32:32.0075329Z                 'obj_weakref': None
2022-11-23T01:32:32.0075541Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0075612Z             }
2022-11-23T01:32:32.0075680Z             
2022-11-23T01:32:32.0075756Z  - 
2022-11-23T01:32:32.0075884Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0075953Z             {
2022-11-23T01:32:32.0076101Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0076206Z                 'code': None,
2022-11-23T01:32:32.0076421Z                 'obj_weakref': <weakref at 0x7f1fe0306930; to 'Tensor' at 0x7f1feadaac00>
2022-11-23T01:32:32.0076671Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0076744Z             }
2022-11-23T01:32:32.0076813Z             
2022-11-23T01:32:32.0076889Z  - 
2022-11-23T01:32:32.0077015Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0077076Z             {
2022-11-23T01:32:32.0077223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0077335Z                 'code': None,
2022-11-23T01:32:32.0077544Z                 'obj_weakref': <weakref at 0x7f1fd8c49670; to 'Tensor' at 0x7f201e6baca0>
2022-11-23T01:32:32.0077796Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0077865Z             }
2022-11-23T01:32:32.0077932Z             
2022-11-23T01:32:32.0078001Z  - 
2022-11-23T01:32:32.0078136Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0078206Z             {
2022-11-23T01:32:32.0078377Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0078572Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0078695Z                 'obj_weakref': None
2022-11-23T01:32:32.0078923Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0078985Z             }
2022-11-23T01:32:32.0079054Z             
2022-11-23T01:32:32.0079129Z  - 
2022-11-23T01:32:32.0079256Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0079326Z             {
2022-11-23T01:32:32.0079467Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0079685Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0079800Z                 'obj_weakref': None
2022-11-23T01:32:32.0080023Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0080094Z             }
2022-11-23T01:32:32.0080166Z             
2022-11-23T01:32:32.0080246Z  - 
2022-11-23T01:32:32.0080380Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0080450Z             {
2022-11-23T01:32:32.0080567Z                 'guard_types': None,
2022-11-23T01:32:32.0080678Z                 'code': None,
2022-11-23T01:32:32.0080801Z                 'obj_weakref': None
2022-11-23T01:32:32.0080926Z                 'guarded_class': None
2022-11-23T01:32:32.0080995Z             }
2022-11-23T01:32:32.0081064Z             
2022-11-23T01:32:32.0081328Z [2022-11-23 01:30:13,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 663
2022-11-23T01:32:32.0081568Z [2022-11-23 01:30:13,097] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0081817Z [2022-11-23 01:30:13,098] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0082182Z [2022-11-23 01:30:13,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/to/ctoz3nftgn7hdkad2eft7ravxhenaobobfgenhfw5wuy3zmqgj4w.py
2022-11-23T01:32:32.0082452Z [2022-11-23 01:30:13,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 663
2022-11-23T01:32:32.0082690Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0083003Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0083222Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0083477Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0083754Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0084074Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0084410Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0084733Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0085100Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669> 
2022-11-23T01:32:32.0085204Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0085310Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:32.0085410Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0085539Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0085644Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0085755Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0085852Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0085934Z               14 RETURN_VALUE
2022-11-23T01:32:32.0086001Z  
2022-11-23T01:32:32.0086007Z 
2022-11-23T01:32:32.0086323Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670
2022-11-23T01:32:32.0086543Z [2022-11-23 01:30:13,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0086851Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0087106Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:32.0087394Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:32.0087711Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0088053Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0088426Z [2022-11-23 01:30:13,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0088674Z [2022-11-23 01:30:13,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0089046Z [2022-11-23 01:30:13,173] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669>
2022-11-23T01:32:32.0089295Z [2022-11-23 01:30:13,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0089529Z [2022-11-23 01:30:13,173] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0089782Z [2022-11-23 01:30:13,174] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0090033Z [2022-11-23 01:30:13,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0090226Z [2022-11-23 01:30:13,177] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0090361Z  __compiled_fn_681 <eval_with_key>.4209 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0090457Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0090550Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0090645Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0090831Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0090942Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0090947Z 
2022-11-23T01:32:32.0091278Z [2022-11-23 01:30:13,177] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0091382Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0091473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0091568Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0091669Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0091763Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0091858Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0091942Z              12 RETURN_VALUE
2022-11-23T01:32:32.0091947Z 
2022-11-23T01:32:32.0092014Z  
2022-11-23T01:32:32.0092357Z [2022-11-23 01:30:13,177] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0092491Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_681)
2022-11-23T01:32:32.0092588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0092685Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0092768Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0092864Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0092959Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0093042Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0093128Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0093222Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0093304Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0093400Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0093497Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0093584Z              24 RETURN_VALUE
2022-11-23T01:32:32.0093592Z 
2022-11-23T01:32:32.0093658Z  
2022-11-23T01:32:32.0093839Z [2022-11-23 01:30:13,178] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0093916Z  - 
2022-11-23T01:32:32.0094040Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0094111Z             {
2022-11-23T01:32:32.0094256Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0094444Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0094568Z                 'obj_weakref': None
2022-11-23T01:32:32.0094786Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0094859Z             }
2022-11-23T01:32:32.0094928Z             
2022-11-23T01:32:32.0095005Z  - 
2022-11-23T01:32:32.0095135Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0095206Z             {
2022-11-23T01:32:32.0095355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0095464Z                 'code': None,
2022-11-23T01:32:32.0095678Z                 'obj_weakref': <weakref at 0x7f2151eee8e0; to 'Tensor' at 0x7f2023141440>
2022-11-23T01:32:32.0095928Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0095998Z             }
2022-11-23T01:32:32.0096069Z             
2022-11-23T01:32:32.0096146Z  - 
2022-11-23T01:32:32.0096282Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0096345Z             {
2022-11-23T01:32:32.0096493Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0096686Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == -1'],
2022-11-23T01:32:32.0096811Z                 'obj_weakref': None
2022-11-23T01:32:32.0097030Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0097102Z             }
2022-11-23T01:32:32.0097172Z             
2022-11-23T01:32:32.0097242Z  - 
2022-11-23T01:32:32.0097375Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0097446Z             {
2022-11-23T01:32:32.0097593Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0097707Z                 'code': None,
2022-11-23T01:32:32.0097920Z                 'obj_weakref': <weakref at 0x7f1fe0306930; to 'Tensor' at 0x7f1feadaac00>
2022-11-23T01:32:32.0098166Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0098228Z             }
2022-11-23T01:32:32.0098297Z             
2022-11-23T01:32:32.0098375Z  - 
2022-11-23T01:32:32.0098501Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0098573Z             {
2022-11-23T01:32:32.0098721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0098945Z                 'code': None,
2022-11-23T01:32:32.0099151Z                 'obj_weakref': <weakref at 0x7f2151eefb00; to 'Tensor' at 0x7f1fd8c4b740>
2022-11-23T01:32:32.0099442Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0099535Z             }
2022-11-23T01:32:32.0099605Z             
2022-11-23T01:32:32.0099682Z  - 
2022-11-23T01:32:32.0099819Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0099889Z             {
2022-11-23T01:32:32.0100022Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0100197Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0100325Z                 'obj_weakref': None
2022-11-23T01:32:32.0100553Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0100623Z             }
2022-11-23T01:32:32.0100690Z             
2022-11-23T01:32:32.0100765Z  - 
2022-11-23T01:32:32.0100883Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0100952Z             {
2022-11-23T01:32:32.0101095Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0101313Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0101439Z                 'obj_weakref': None
2022-11-23T01:32:32.0101661Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0101732Z             }
2022-11-23T01:32:32.0101793Z             
2022-11-23T01:32:32.0101868Z  - 
2022-11-23T01:32:32.0102003Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0102073Z             {
2022-11-23T01:32:32.0102197Z                 'guard_types': None,
2022-11-23T01:32:32.0102309Z                 'code': None,
2022-11-23T01:32:32.0102431Z                 'obj_weakref': None
2022-11-23T01:32:32.0102554Z                 'guarded_class': None
2022-11-23T01:32:32.0102640Z             }
2022-11-23T01:32:32.0102713Z             
2022-11-23T01:32:32.0103003Z [2022-11-23 01:30:13,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 664
2022-11-23T01:32:32.0103255Z [2022-11-23 01:30:13,188] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0103499Z [2022-11-23 01:30:13,189] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0103861Z [2022-11-23 01:30:13,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6wizoidnjdqpwz26lfphq76j66hyfgjdfn7vc4jgite75dscmzq.py
2022-11-23T01:32:32.0104127Z [2022-11-23 01:30:13,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 664
2022-11-23T01:32:32.0104133Z 
2022-11-23T01:32:32.0104226Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0104301Z import torch
2022-11-23T01:32:32.0104377Z import random
2022-11-23T01:32:32.0104498Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0104626Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0104631Z 
2022-11-23T01:32:32.0104717Z aten = torch.ops.aten
2022-11-23T01:32:32.0104859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0104962Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0104968Z 
2022-11-23T01:32:32.0105035Z import triton
2022-11-23T01:32:32.0105131Z import triton.language as tl
2022-11-23T01:32:32.0105261Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0105404Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0105409Z 
2022-11-23T01:32:32.0105414Z 
2022-11-23T01:32:32.0105577Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0105655Z import triton
2022-11-23T01:32:32.0105748Z import triton.language as tl
2022-11-23T01:32:32.0105857Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0105963Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0106100Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0106261Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0106267Z 
2022-11-23T01:32:32.0106675Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0106753Z @triton.jit
2022-11-23T01:32:32.0106890Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0106965Z     xnumel = 6
2022-11-23T01:32:32.0107058Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0107189Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0107276Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0107350Z     x0 = xindex
2022-11-23T01:32:32.0107450Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0107585Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0107674Z ''')
2022-11-23T01:32:32.0107679Z 
2022-11-23T01:32:32.0107684Z 
2022-11-23T01:32:32.0107845Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0107916Z import triton
2022-11-23T01:32:32.0108009Z import triton.language as tl
2022-11-23T01:32:32.0108126Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0108230Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0108365Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0108497Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0108503Z 
2022-11-23T01:32:32.0108886Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0108959Z @triton.jit
2022-11-23T01:32:32.0109097Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0109173Z     xnumel = 1
2022-11-23T01:32:32.0109271Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0109406Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0109493Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0109629Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:32.0109763Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:32.0109897Z     tl.store(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0109983Z ''')
2022-11-23T01:32:32.0109989Z 
2022-11-23T01:32:32.0109994Z 
2022-11-23T01:32:32.0110088Z async_compile.wait(globals())
2022-11-23T01:32:32.0110167Z del async_compile
2022-11-23T01:32:32.0110173Z 
2022-11-23T01:32:32.0110304Z def call(args):
2022-11-23T01:32:32.0110407Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0110497Z     args.clear()
2022-11-23T01:32:32.0110722Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0110807Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0110953Z     triton_fused_scatter0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0111030Z     del arg0_1
2022-11-23T01:32:32.0111181Z     triton_fused_scatter1.run(arg1_1, arg2_1, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.0111255Z     del arg1_1
2022-11-23T01:32:32.0111328Z     del arg2_1
2022-11-23T01:32:32.0111405Z     return (buf0, )
2022-11-23T01:32:32.0111410Z 
2022-11-23T01:32:32.0111414Z 
2022-11-23T01:32:32.0111489Z if __name__ == "__main__":
2022-11-23T01:32:32.0111608Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0111739Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0111940Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0112132Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0112327Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0112489Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0112495Z 
2022-11-23T01:32:32.0112518Z 
2022-11-23T01:32:32.0112619Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0112686Z import torch
2022-11-23T01:32:32.0112762Z import random
2022-11-23T01:32:32.0112881Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0113009Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0113014Z 
2022-11-23T01:32:32.0113097Z aten = torch.ops.aten
2022-11-23T01:32:32.0113235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0113333Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0113338Z 
2022-11-23T01:32:32.0113415Z import triton
2022-11-23T01:32:32.0113501Z import triton.language as tl
2022-11-23T01:32:32.0113628Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0113771Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0113776Z 
2022-11-23T01:32:32.0113780Z 
2022-11-23T01:32:32.0113950Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0114030Z import triton
2022-11-23T01:32:32.0114123Z import triton.language as tl
2022-11-23T01:32:32.0114238Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0114335Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0114471Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0114599Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0114604Z 
2022-11-23T01:32:32.0114969Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0115044Z @triton.jit
2022-11-23T01:32:32.0115179Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0115252Z     xnumel = 6
2022-11-23T01:32:32.0115352Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0115477Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0115566Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0115637Z     x0 = xindex
2022-11-23T01:32:32.0115757Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0115894Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0115980Z ''')
2022-11-23T01:32:32.0115986Z 
2022-11-23T01:32:32.0115990Z 
2022-11-23T01:32:32.0116149Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0116224Z import triton
2022-11-23T01:32:32.0116310Z import triton.language as tl
2022-11-23T01:32:32.0116426Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0116530Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0116666Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0116794Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0116799Z 
2022-11-23T01:32:32.0117179Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0117256Z @triton.jit
2022-11-23T01:32:32.0117398Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0117465Z     xnumel = 1
2022-11-23T01:32:32.0117565Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0117698Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0117784Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0117917Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:32.0118068Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:32.0118207Z     tl.store(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0118286Z ''')
2022-11-23T01:32:32.0118292Z 
2022-11-23T01:32:32.0118304Z 
2022-11-23T01:32:32.0118418Z async_compile.wait(globals())
2022-11-23T01:32:32.0118499Z del async_compile
2022-11-23T01:32:32.0118526Z 
2022-11-23T01:32:32.0118603Z def call(args):
2022-11-23T01:32:32.0118696Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0118773Z     args.clear()
2022-11-23T01:32:32.0118970Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0119063Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0119199Z     triton_fused_scatter0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0119272Z     del arg0_1
2022-11-23T01:32:32.0119420Z     triton_fused_scatter1.run(arg1_1, arg2_1, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.0119494Z     del arg1_1
2022-11-23T01:32:32.0119567Z     del arg2_1
2022-11-23T01:32:32.0119643Z     return (buf0, )
2022-11-23T01:32:32.0119649Z 
2022-11-23T01:32:32.0119653Z 
2022-11-23T01:32:32.0119734Z if __name__ == "__main__":
2022-11-23T01:32:32.0119846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0119977Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0120177Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0120370Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0120562Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0120691Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0120696Z 
2022-11-23T01:32:32.0120768Z ok (0.185s)
2022-11-23T01:32:32.0120913Z   test_scatter2_cuda (__main__.CudaTests) ... skip: unstable on sm86 (0.001s)
2022-11-23T01:32:32.0121212Z   test_scatter3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0121527Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0121752Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0122010Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0122286Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0122601Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0122992Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0123309Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0123680Z [2022-11-23 01:30:13,258] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700> 
2022-11-23T01:32:32.0123785Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0123881Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:32.0123980Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0124080Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0124180Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0124277Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0124422Z               12 LOAD_CONST               1 ('add')
2022-11-23T01:32:32.0124575Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:32.0124675Z               16 CALL_FUNCTION_KW         5
2022-11-23T01:32:32.0124750Z               18 RETURN_VALUE
2022-11-23T01:32:32.0124816Z  
2022-11-23T01:32:32.0124821Z 
2022-11-23T01:32:32.0125165Z [2022-11-23 01:30:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701
2022-11-23T01:32:32.0125403Z [2022-11-23 01:30:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0125709Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0125963Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:32.0126249Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:32.0126571Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0126914Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0127298Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.0127722Z [2022-11-23 01:30:13,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:32.0128184Z [2022-11-23 01:30:13,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.0128434Z [2022-11-23 01:30:13,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0128807Z [2022-11-23 01:30:13,266] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700>
2022-11-23T01:32:32.0129051Z [2022-11-23 01:30:13,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0129285Z [2022-11-23 01:30:13,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0129543Z [2022-11-23 01:30:13,266] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0129792Z [2022-11-23 01:30:13,270] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0129985Z [2022-11-23 01:30:13,270] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0130129Z  __compiled_fn_682 <eval_with_key>.4215 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0130220Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0130317Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0130522Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T01:32:32.0130631Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0130637Z 
2022-11-23T01:32:32.0130960Z [2022-11-23 01:30:13,270] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0131062Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0131160Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0131254Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0131347Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0131440Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0131538Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0131653Z              12 RETURN_VALUE
2022-11-23T01:32:32.0131659Z 
2022-11-23T01:32:32.0131749Z  
2022-11-23T01:32:32.0132073Z [2022-11-23 01:30:13,270] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0132212Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_682)
2022-11-23T01:32:32.0132325Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0132423Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0132506Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0132601Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0132697Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0132779Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0132873Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0132973Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0133047Z              18 RETURN_VALUE
2022-11-23T01:32:32.0133053Z 
2022-11-23T01:32:32.0133122Z  
2022-11-23T01:32:32.0133309Z [2022-11-23 01:30:13,271] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0133394Z  - 
2022-11-23T01:32:32.0133518Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0133587Z             {
2022-11-23T01:32:32.0133731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0133913Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0134038Z                 'obj_weakref': None
2022-11-23T01:32:32.0134262Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0134334Z             }
2022-11-23T01:32:32.0134403Z             
2022-11-23T01:32:32.0134479Z  - 
2022-11-23T01:32:32.0134606Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0134669Z             {
2022-11-23T01:32:32.0134814Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0134926Z                 'code': None,
2022-11-23T01:32:32.0135143Z                 'obj_weakref': <weakref at 0x7f1ffad78f40; to 'Tensor' at 0x7f1fd8c49350>
2022-11-23T01:32:32.0135395Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0135465Z             }
2022-11-23T01:32:32.0135535Z             
2022-11-23T01:32:32.0135603Z  - 
2022-11-23T01:32:32.0135740Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0135809Z             {
2022-11-23T01:32:32.0135957Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0136149Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0136271Z                 'obj_weakref': None
2022-11-23T01:32:32.0136491Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0136553Z             }
2022-11-23T01:32:32.0136618Z             
2022-11-23T01:32:32.0136693Z  - 
2022-11-23T01:32:32.0136822Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0136893Z             {
2022-11-23T01:32:32.0137042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0137153Z                 'code': None,
2022-11-23T01:32:32.0137360Z                 'obj_weakref': <weakref at 0x7f1ffad7bd30; to 'Tensor' at 0x7f1fd8c498a0>
2022-11-23T01:32:32.0137609Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0137680Z             }
2022-11-23T01:32:32.0137749Z             
2022-11-23T01:32:32.0137825Z  - 
2022-11-23T01:32:32.0137959Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:32.0138029Z             {
2022-11-23T01:32:32.0138167Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0138358Z                 'code': ['___check_type_id(ex[3], 94768292484128)', 'ex[3] == 0.8'],
2022-11-23T01:32:32.0138482Z                 'obj_weakref': None
2022-11-23T01:32:32.0138732Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:32.0138959Z             }
2022-11-23T01:32:32.0139031Z             
2022-11-23T01:32:32.0139109Z  - 
2022-11-23T01:32:32.0139238Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0139308Z             {
2022-11-23T01:32:32.0139447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0139622Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0139748Z                 'obj_weakref': None
2022-11-23T01:32:32.0139975Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0140048Z             }
2022-11-23T01:32:32.0140109Z             
2022-11-23T01:32:32.0140187Z  - 
2022-11-23T01:32:32.0140314Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0140382Z             {
2022-11-23T01:32:32.0140523Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0140743Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0140870Z                 'obj_weakref': None
2022-11-23T01:32:32.0141084Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0141154Z             }
2022-11-23T01:32:32.0141223Z             
2022-11-23T01:32:32.0141299Z  - 
2022-11-23T01:32:32.0141433Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0141502Z             {
2022-11-23T01:32:32.0141625Z                 'guard_types': None,
2022-11-23T01:32:32.0141730Z                 'code': None,
2022-11-23T01:32:32.0141853Z                 'obj_weakref': None
2022-11-23T01:32:32.0141978Z                 'guarded_class': None
2022-11-23T01:32:32.0142048Z             }
2022-11-23T01:32:32.0142116Z             
2022-11-23T01:32:32.0142381Z [2022-11-23 01:30:13,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 665
2022-11-23T01:32:32.0142631Z [2022-11-23 01:30:13,284] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0142871Z [2022-11-23 01:30:13,285] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0143235Z [2022-11-23 01:30:13,361] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7v/c7vk54rxqwtozyuat4usuvy6uchhyytqfgnrnl4cshkqv3dhw3rw.py
2022-11-23T01:32:32.0143499Z [2022-11-23 01:30:13,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 665
2022-11-23T01:32:32.0143735Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0144047Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0144267Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0144522Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0144799Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0145114Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0145455Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0145765Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0146132Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700> 
2022-11-23T01:32:32.0146284Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0146413Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:32.0146512Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0146612Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0146710Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0146809Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0146946Z               12 LOAD_CONST               1 ('add')
2022-11-23T01:32:32.0147102Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:32.0147200Z               16 CALL_FUNCTION_KW         5
2022-11-23T01:32:32.0147287Z               18 RETURN_VALUE
2022-11-23T01:32:32.0147356Z  
2022-11-23T01:32:32.0147361Z 
2022-11-23T01:32:32.0147674Z [2022-11-23 01:30:13,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701
2022-11-23T01:32:32.0147896Z [2022-11-23 01:30:13,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0148205Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0148452Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:32.0148737Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:32.0149056Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0149394Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0149777Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.0150212Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:32.0150786Z [2022-11-23 01:30:13,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.0151032Z [2022-11-23 01:30:13,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0151400Z [2022-11-23 01:30:13,372] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700>
2022-11-23T01:32:32.0151649Z [2022-11-23 01:30:13,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0151881Z [2022-11-23 01:30:13,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0152137Z [2022-11-23 01:30:13,373] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0152380Z [2022-11-23 01:30:13,375] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0152571Z [2022-11-23 01:30:13,376] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0152714Z  __compiled_fn_683 <eval_with_key>.4221 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0152811Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0152905Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0153142Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T01:32:32.0153285Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0153291Z 
2022-11-23T01:32:32.0153614Z [2022-11-23 01:30:13,376] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0153715Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0153806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0153899Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0154000Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0154095Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0154190Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0154275Z              12 RETURN_VALUE
2022-11-23T01:32:32.0154280Z 
2022-11-23T01:32:32.0154346Z  
2022-11-23T01:32:32.0154657Z [2022-11-23 01:30:13,376] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0154778Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_683)
2022-11-23T01:32:32.0154876Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0154973Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0155056Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0155151Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0155246Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0155321Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0155415Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0155510Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0155592Z              18 RETURN_VALUE
2022-11-23T01:32:32.0155598Z 
2022-11-23T01:32:32.0155663Z  
2022-11-23T01:32:32.0155852Z [2022-11-23 01:30:13,377] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0155927Z  - 
2022-11-23T01:32:32.0156046Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0156118Z             {
2022-11-23T01:32:32.0156270Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0156461Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0156585Z                 'obj_weakref': None
2022-11-23T01:32:32.0156811Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0156881Z             }
2022-11-23T01:32:32.0156951Z             
2022-11-23T01:32:32.0157020Z  - 
2022-11-23T01:32:32.0157149Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0157220Z             {
2022-11-23T01:32:32.0157365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0157479Z                 'code': None,
2022-11-23T01:32:32.0157690Z                 'obj_weakref': <weakref at 0x7f1fd8c49670; to 'Tensor' at 0x7f1fd80eea70>
2022-11-23T01:32:32.0157940Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0158006Z             }
2022-11-23T01:32:32.0158074Z             
2022-11-23T01:32:32.0158150Z  - 
2022-11-23T01:32:32.0158284Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0158353Z             {
2022-11-23T01:32:32.0158502Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0158684Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0158806Z                 'obj_weakref': None
2022-11-23T01:32:32.0159027Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0159096Z             }
2022-11-23T01:32:32.0159165Z             
2022-11-23T01:32:32.0159240Z  - 
2022-11-23T01:32:32.0159367Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0159428Z             {
2022-11-23T01:32:32.0159572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0159687Z                 'code': None,
2022-11-23T01:32:32.0159933Z                 'obj_weakref': <weakref at 0x7f1ffad7bd30; to 'Tensor' at 0x7f1fd8c498a0>
2022-11-23T01:32:32.0160200Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0160271Z             }
2022-11-23T01:32:32.0160340Z             
2022-11-23T01:32:32.0160416Z  - 
2022-11-23T01:32:32.0160541Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:32.0160611Z             {
2022-11-23T01:32:32.0160755Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0160947Z                 'code': ['___check_type_id(ex[3], 94768292484128)', 'ex[3] == 0.8'],
2022-11-23T01:32:32.0161071Z                 'obj_weakref': None
2022-11-23T01:32:32.0161290Z                 'guarded_class': <weakref at 0x7f2158fbb510; to 'type' at 0x5630f668d420 (float)>
2022-11-23T01:32:32.0161363Z             }
2022-11-23T01:32:32.0161425Z             
2022-11-23T01:32:32.0161501Z  - 
2022-11-23T01:32:32.0161638Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0161709Z             {
2022-11-23T01:32:32.0161850Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0162022Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0162137Z                 'obj_weakref': None
2022-11-23T01:32:32.0162392Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0162465Z             }
2022-11-23T01:32:32.0162550Z             
2022-11-23T01:32:32.0162634Z  - 
2022-11-23T01:32:32.0162761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0162832Z             {
2022-11-23T01:32:32.0162964Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0163180Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0163303Z                 'obj_weakref': None
2022-11-23T01:32:32.0163526Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0163599Z             }
2022-11-23T01:32:32.0163668Z             
2022-11-23T01:32:32.0163746Z  - 
2022-11-23T01:32:32.0163873Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0163942Z             {
2022-11-23T01:32:32.0164065Z                 'guard_types': None,
2022-11-23T01:32:32.0164176Z                 'code': None,
2022-11-23T01:32:32.0164298Z                 'obj_weakref': None
2022-11-23T01:32:32.0164424Z                 'guarded_class': None
2022-11-23T01:32:32.0164494Z             }
2022-11-23T01:32:32.0164555Z             
2022-11-23T01:32:32.0164816Z [2022-11-23 01:30:13,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 666
2022-11-23T01:32:32.0165066Z [2022-11-23 01:30:13,386] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0165310Z [2022-11-23 01:30:13,388] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0165670Z [2022-11-23 01:30:13,460] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cu/ccuq7bvcl67woac2dmb6s3f2jgffyj7k6lpmv73w7usdg4hqysl7.py
2022-11-23T01:32:32.0165936Z [2022-11-23 01:30:13,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 666
2022-11-23T01:32:32.0165942Z 
2022-11-23T01:32:32.0166042Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0166117Z import torch
2022-11-23T01:32:32.0166192Z import random
2022-11-23T01:32:32.0166306Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0166433Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0166438Z 
2022-11-23T01:32:32.0166521Z aten = torch.ops.aten
2022-11-23T01:32:32.0166662Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0166763Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0166769Z 
2022-11-23T01:32:32.0166845Z import triton
2022-11-23T01:32:32.0166972Z import triton.language as tl
2022-11-23T01:32:32.0167095Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0167259Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0167265Z 
2022-11-23T01:32:32.0167269Z 
2022-11-23T01:32:32.0167432Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0167508Z import triton
2022-11-23T01:32:32.0167601Z import triton.language as tl
2022-11-23T01:32:32.0167718Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0167822Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0167958Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0168079Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0168085Z 
2022-11-23T01:32:32.0168451Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0168530Z @triton.jit
2022-11-23T01:32:32.0168667Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0168743Z     xnumel = 1885
2022-11-23T01:32:32.0168843Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0168977Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0169062Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0169128Z     x0 = xindex
2022-11-23T01:32:32.0169227Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0169365Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0169453Z ''')
2022-11-23T01:32:32.0169459Z 
2022-11-23T01:32:32.0169463Z 
2022-11-23T01:32:32.0169625Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0169700Z import triton
2022-11-23T01:32:32.0169795Z import triton.language as tl
2022-11-23T01:32:32.0169903Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0170004Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0170140Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0170269Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0170275Z 
2022-11-23T01:32:32.0170636Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0170708Z @triton.jit
2022-11-23T01:32:32.0170841Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0170918Z     xnumel = 4
2022-11-23T01:32:32.0171010Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0171140Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0171227Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0171299Z     x0 = xindex
2022-11-23T01:32:32.0171395Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0171470Z     tmp1 = 0.8
2022-11-23T01:32:32.0171621Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0171703Z ''')
2022-11-23T01:32:32.0171708Z 
2022-11-23T01:32:32.0171713Z 
2022-11-23T01:32:32.0171807Z async_compile.wait(globals())
2022-11-23T01:32:32.0171884Z del async_compile
2022-11-23T01:32:32.0171890Z 
2022-11-23T01:32:32.0171966Z def call(args):
2022-11-23T01:32:32.0172046Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0172122Z     args.clear()
2022-11-23T01:32:32.0172332Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0172423Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0172588Z     triton_fused_scatter0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0172665Z     del arg0_1
2022-11-23T01:32:32.0172829Z     triton_fused_scatter1.run(arg1_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0172904Z     del arg1_1
2022-11-23T01:32:32.0172982Z     return (buf0, )
2022-11-23T01:32:32.0172987Z 
2022-11-23T01:32:32.0173022Z 
2022-11-23T01:32:32.0173105Z if __name__ == "__main__":
2022-11-23T01:32:32.0173244Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0173366Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0173580Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0173782Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0173903Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0173908Z 
2022-11-23T01:32:32.0173912Z 
2022-11-23T01:32:32.0174012Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0174086Z import torch
2022-11-23T01:32:32.0174163Z import random
2022-11-23T01:32:32.0174283Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0174401Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0174406Z 
2022-11-23T01:32:32.0174490Z aten = torch.ops.aten
2022-11-23T01:32:32.0174632Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0174733Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0174739Z 
2022-11-23T01:32:32.0174812Z import triton
2022-11-23T01:32:32.0174907Z import triton.language as tl
2022-11-23T01:32:32.0175035Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0175176Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0175182Z 
2022-11-23T01:32:32.0175186Z 
2022-11-23T01:32:32.0175340Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0175419Z import triton
2022-11-23T01:32:32.0175512Z import triton.language as tl
2022-11-23T01:32:32.0175629Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0175730Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0175864Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0175991Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0175996Z 
2022-11-23T01:32:32.0176363Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0176433Z @triton.jit
2022-11-23T01:32:32.0176570Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0176646Z     xnumel = 1885
2022-11-23T01:32:32.0176744Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0176876Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0176959Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0177033Z     x0 = xindex
2022-11-23T01:32:32.0177146Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0177283Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0177371Z ''')
2022-11-23T01:32:32.0177376Z 
2022-11-23T01:32:32.0177381Z 
2022-11-23T01:32:32.0177544Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0177621Z import triton
2022-11-23T01:32:32.0177718Z import triton.language as tl
2022-11-23T01:32:32.0177832Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0177935Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0178062Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0178189Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0178194Z 
2022-11-23T01:32:32.0178555Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0178633Z @triton.jit
2022-11-23T01:32:32.0178767Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0178968Z     xnumel = 4
2022-11-23T01:32:32.0179074Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0179249Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0179329Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0179427Z     x0 = xindex
2022-11-23T01:32:32.0179525Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0179601Z     tmp1 = 0.8
2022-11-23T01:32:32.0179749Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0179841Z ''')
2022-11-23T01:32:32.0179846Z 
2022-11-23T01:32:32.0179851Z 
2022-11-23T01:32:32.0179945Z async_compile.wait(globals())
2022-11-23T01:32:32.0180016Z del async_compile
2022-11-23T01:32:32.0180022Z 
2022-11-23T01:32:32.0180100Z def call(args):
2022-11-23T01:32:32.0180181Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0180258Z     args.clear()
2022-11-23T01:32:32.0180475Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0180568Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0180714Z     triton_fused_scatter0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0180783Z     del arg0_1
2022-11-23T01:32:32.0180926Z     triton_fused_scatter1.run(arg1_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0181004Z     del arg1_1
2022-11-23T01:32:32.0181082Z     return (buf0, )
2022-11-23T01:32:32.0181088Z 
2022-11-23T01:32:32.0181092Z 
2022-11-23T01:32:32.0181175Z if __name__ == "__main__":
2022-11-23T01:32:32.0181294Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0181424Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0181633Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0181827Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0181949Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0181955Z 
2022-11-23T01:32:32.0182030Z ok (0.206s)
2022-11-23T01:32:32.0182341Z   test_scatter4_cuda (__main__.CudaTests) ... [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0182659Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0182880Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0183137Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0183417Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0183734Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0184066Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0184390Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0184761Z [2022-11-23 01:30:13,466] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719> 
2022-11-23T01:32:32.0184867Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0184973Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:32.0185071Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0185171Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0185271Z                8 LOAD_FAST                1 (ind)
2022-11-23T01:32:32.0185370Z               10 LOAD_FAST                2 (src)
2022-11-23T01:32:32.0185459Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0185542Z               14 RETURN_VALUE
2022-11-23T01:32:32.0185642Z  
2022-11-23T01:32:32.0185648Z 
2022-11-23T01:32:32.0185982Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720
2022-11-23T01:32:32.0186207Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0186581Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0186908Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0187260Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0187640Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0188052Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0188479Z [2022-11-23 01:30:13,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0188731Z [2022-11-23 01:30:13,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0189109Z [2022-11-23 01:30:13,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719>
2022-11-23T01:32:32.0189360Z [2022-11-23 01:30:13,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0189602Z [2022-11-23 01:30:13,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0189859Z [2022-11-23 01:30:13,469] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0190112Z [2022-11-23 01:30:13,472] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0190379Z [2022-11-23 01:30:13,472] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0190546Z  __compiled_fn_684 <eval_with_key>.4227 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0190645Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0190733Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0190825Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0191087Z call_function, scatter, <built-in method scatter of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T01:32:32.0191199Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0191204Z 
2022-11-23T01:32:32.0191529Z [2022-11-23 01:30:13,472] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0191633Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0191731Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0191830Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0191924Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0192017Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0192113Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0192197Z              12 RETURN_VALUE
2022-11-23T01:32:32.0192203Z 
2022-11-23T01:32:32.0192270Z  
2022-11-23T01:32:32.0192617Z [2022-11-23 01:30:13,472] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0192758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_684)
2022-11-23T01:32:32.0192849Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0192948Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0193030Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0193126Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0193220Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0193304Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0193398Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0193485Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.0193569Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0193665Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0193766Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0193850Z              24 RETURN_VALUE
2022-11-23T01:32:32.0193856Z 
2022-11-23T01:32:32.0193924Z  
2022-11-23T01:32:32.0194115Z [2022-11-23 01:30:13,473] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0194192Z  - 
2022-11-23T01:32:32.0194309Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0194380Z             {
2022-11-23T01:32:32.0194526Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0194715Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.0194840Z                 'obj_weakref': None
2022-11-23T01:32:32.0195066Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0195138Z             }
2022-11-23T01:32:32.0195201Z             
2022-11-23T01:32:32.0195276Z  - 
2022-11-23T01:32:32.0195405Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0195475Z             {
2022-11-23T01:32:32.0195621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0195736Z                 'code': None,
2022-11-23T01:32:32.0195955Z                 'obj_weakref': <weakref at 0x7f1ffad5ebb0; to 'Tensor' at 0x7f1ffad7a750>
2022-11-23T01:32:32.0196200Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0196275Z             }
2022-11-23T01:32:32.0196345Z             
2022-11-23T01:32:32.0196420Z  - 
2022-11-23T01:32:32.0196553Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0196623Z             {
2022-11-23T01:32:32.0196772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0196879Z                 'code': None,
2022-11-23T01:32:32.0197094Z                 'obj_weakref': <weakref at 0x7f1ffad3a390; to 'Tensor' at 0x7f1ffad7b1a0>
2022-11-23T01:32:32.0197343Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0197417Z             }
2022-11-23T01:32:32.0197488Z             
2022-11-23T01:32:32.0197567Z  - 
2022-11-23T01:32:32.0197694Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0197760Z             {
2022-11-23T01:32:32.0197909Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0198024Z                 'code': None,
2022-11-23T01:32:32.0198236Z                 'obj_weakref': <weakref at 0x7f1ffad38400; to 'Tensor' at 0x7f1ffad7a160>
2022-11-23T01:32:32.0198483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0198554Z             }
2022-11-23T01:32:32.0198623Z             
2022-11-23T01:32:32.0198692Z  - 
2022-11-23T01:32:32.0198828Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0198897Z             {
2022-11-23T01:32:32.0199036Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0199208Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0199332Z                 'obj_weakref': None
2022-11-23T01:32:32.0199592Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0199684Z             }
2022-11-23T01:32:32.0199754Z             
2022-11-23T01:32:32.0199833Z  - 
2022-11-23T01:32:32.0199959Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0200029Z             {
2022-11-23T01:32:32.0200168Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0200383Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0200499Z                 'obj_weakref': None
2022-11-23T01:32:32.0200720Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0200789Z             }
2022-11-23T01:32:32.0200859Z             
2022-11-23T01:32:32.0200936Z  - 
2022-11-23T01:32:32.0201072Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0201143Z             {
2022-11-23T01:32:32.0201263Z                 'guard_types': None,
2022-11-23T01:32:32.0201375Z                 'code': None,
2022-11-23T01:32:32.0201499Z                 'obj_weakref': None
2022-11-23T01:32:32.0201627Z                 'guarded_class': None
2022-11-23T01:32:32.0201700Z             }
2022-11-23T01:32:32.0201772Z             
2022-11-23T01:32:32.0202025Z [2022-11-23 01:30:13,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 667
2022-11-23T01:32:32.0202275Z [2022-11-23 01:30:13,486] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0202521Z [2022-11-23 01:30:13,488] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0202904Z [2022-11-23 01:30:13,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yr3bl6oc7gj4vqt7cidc3vfsod2nzjkbgbfaxoangc675zke6a.py
2022-11-23T01:32:32.0203198Z [2022-11-23 01:30:13,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 667
2022-11-23T01:32:32.0203441Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0203753Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0203976Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0204228Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0204504Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0204812Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0205152Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0205472Z [2022-11-23 01:30:13,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0205837Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719> 
2022-11-23T01:32:32.0205942Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0206049Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:32.0206149Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0206247Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0206348Z                8 LOAD_FAST                1 (ind)
2022-11-23T01:32:32.0206440Z               10 LOAD_FAST                2 (src)
2022-11-23T01:32:32.0206574Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0206659Z               14 RETURN_VALUE
2022-11-23T01:32:32.0206748Z  
2022-11-23T01:32:32.0206754Z 
2022-11-23T01:32:32.0207066Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720
2022-11-23T01:32:32.0207289Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0207653Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0207973Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0208318Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0208688Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0209098Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0209534Z [2022-11-23 01:30:13,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0209783Z [2022-11-23 01:30:13,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0210153Z [2022-11-23 01:30:13,591] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719>
2022-11-23T01:32:32.0210404Z [2022-11-23 01:30:13,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0210639Z [2022-11-23 01:30:13,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0210895Z [2022-11-23 01:30:13,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0211147Z [2022-11-23 01:30:13,595] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0211342Z [2022-11-23 01:30:13,595] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0211485Z  __compiled_fn_685 <eval_with_key>.4233 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0211574Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0211668Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0211763Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0212025Z call_function, scatter, <built-in method scatter of type object at 0x7f209c394c60>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T01:32:32.0212143Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:32.0212149Z 
2022-11-23T01:32:32.0212511Z [2022-11-23 01:30:13,595] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0212615Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0212717Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0212804Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0212905Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0212999Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0213094Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0213175Z              12 RETURN_VALUE
2022-11-23T01:32:32.0213180Z 
2022-11-23T01:32:32.0213276Z  
2022-11-23T01:32:32.0213596Z [2022-11-23 01:30:13,595] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0213728Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_685)
2022-11-23T01:32:32.0213826Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0213925Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0214009Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0214107Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0214206Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0214288Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0214382Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0214470Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.0214552Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0214648Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0214748Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0214837Z              24 RETURN_VALUE
2022-11-23T01:32:32.0214842Z 
2022-11-23T01:32:32.0214911Z  
2022-11-23T01:32:32.0215099Z [2022-11-23 01:30:13,596] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0215169Z  - 
2022-11-23T01:32:32.0215296Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0215367Z             {
2022-11-23T01:32:32.0215519Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0215709Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.0215835Z                 'obj_weakref': None
2022-11-23T01:32:32.0216061Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0216125Z             }
2022-11-23T01:32:32.0216196Z             
2022-11-23T01:32:32.0216272Z  - 
2022-11-23T01:32:32.0216400Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0216471Z             {
2022-11-23T01:32:32.0216621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0216736Z                 'code': None,
2022-11-23T01:32:32.0216944Z                 'obj_weakref': <weakref at 0x7f1ffad8d1c0; to 'Tensor' at 0x7f201e34c950>
2022-11-23T01:32:32.0217192Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0217263Z             }
2022-11-23T01:32:32.0217333Z             
2022-11-23T01:32:32.0217411Z  - 
2022-11-23T01:32:32.0217537Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0217606Z             {
2022-11-23T01:32:32.0217746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0217859Z                 'code': None,
2022-11-23T01:32:32.0218074Z                 'obj_weakref': <weakref at 0x7f1ffad3a390; to 'Tensor' at 0x7f1ffad7b1a0>
2022-11-23T01:32:32.0218323Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0218394Z             }
2022-11-23T01:32:32.0218466Z             
2022-11-23T01:32:32.0218542Z  - 
2022-11-23T01:32:32.0218662Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0218732Z             {
2022-11-23T01:32:32.0218992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0219107Z                 'code': None,
2022-11-23T01:32:32.0219320Z                 'obj_weakref': <weakref at 0x7f1ffad8c950; to 'Tensor' at 0x7f1feada9530>
2022-11-23T01:32:32.0219570Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0219639Z             }
2022-11-23T01:32:32.0219700Z             
2022-11-23T01:32:32.0219774Z  - 
2022-11-23T01:32:32.0219909Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0219978Z             {
2022-11-23T01:32:32.0220118Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0220338Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0220463Z                 'obj_weakref': None
2022-11-23T01:32:32.0220707Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0220777Z             }
2022-11-23T01:32:32.0220846Z             
2022-11-23T01:32:32.0220922Z  - 
2022-11-23T01:32:32.0221047Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0221117Z             {
2022-11-23T01:32:32.0221257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0221465Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0221588Z                 'obj_weakref': None
2022-11-23T01:32:32.0221810Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0221880Z             }
2022-11-23T01:32:32.0221948Z             
2022-11-23T01:32:32.0222026Z  - 
2022-11-23T01:32:32.0222163Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0222228Z             {
2022-11-23T01:32:32.0222354Z                 'guard_types': None,
2022-11-23T01:32:32.0222465Z                 'code': None,
2022-11-23T01:32:32.0222586Z                 'obj_weakref': None
2022-11-23T01:32:32.0222710Z                 'guarded_class': None
2022-11-23T01:32:32.0222778Z             }
2022-11-23T01:32:32.0222839Z             
2022-11-23T01:32:32.0223103Z [2022-11-23 01:30:13,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 668
2022-11-23T01:32:32.0223350Z [2022-11-23 01:30:13,606] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0223591Z [2022-11-23 01:30:13,607] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0223954Z [2022-11-23 01:30:13,683] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qc/cqcvqoti7nkehse2gw3ovvzn3mxjrfl33fpb3cnqnxpvjuqqt6ym.py
2022-11-23T01:32:32.0224225Z [2022-11-23 01:30:13,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 668
2022-11-23T01:32:32.0224233Z 
2022-11-23T01:32:32.0224334Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0224408Z import torch
2022-11-23T01:32:32.0224483Z import random
2022-11-23T01:32:32.0224597Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0224724Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0224730Z 
2022-11-23T01:32:32.0224815Z aten = torch.ops.aten
2022-11-23T01:32:32.0224955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0225054Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0225059Z 
2022-11-23T01:32:32.0225134Z import triton
2022-11-23T01:32:32.0225228Z import triton.language as tl
2022-11-23T01:32:32.0225349Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0225494Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0225499Z 
2022-11-23T01:32:32.0225506Z 
2022-11-23T01:32:32.0225667Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0225744Z import triton
2022-11-23T01:32:32.0225838Z import triton.language as tl
2022-11-23T01:32:32.0225954Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0226061Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0226198Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0226320Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0226333Z 
2022-11-23T01:32:32.0226701Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0226776Z @triton.jit
2022-11-23T01:32:32.0226911Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0226987Z     xnumel = 194432
2022-11-23T01:32:32.0227086Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0227251Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0227354Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0227420Z     x0 = xindex
2022-11-23T01:32:32.0227517Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0227654Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0227741Z ''')
2022-11-23T01:32:32.0227746Z 
2022-11-23T01:32:32.0227751Z 
2022-11-23T01:32:32.0227916Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0227991Z import triton
2022-11-23T01:32:32.0228087Z import triton.language as tl
2022-11-23T01:32:32.0228196Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0228301Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0228435Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0228565Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0228570Z 
2022-11-23T01:32:32.0228963Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0229040Z @triton.jit
2022-11-23T01:32:32.0229187Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0229262Z     xnumel = 992
2022-11-23T01:32:32.0229353Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0229490Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0229575Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0229647Z     x0 = xindex
2022-11-23T01:32:32.0229745Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0229843Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.0229990Z     tl.store(out_ptr0 + (x0 + (992*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0230078Z ''')
2022-11-23T01:32:32.0230083Z 
2022-11-23T01:32:32.0230088Z 
2022-11-23T01:32:32.0230178Z async_compile.wait(globals())
2022-11-23T01:32:32.0230319Z del async_compile
2022-11-23T01:32:32.0230326Z 
2022-11-23T01:32:32.0230415Z def call(args):
2022-11-23T01:32:32.0230514Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0230591Z     args.clear()
2022-11-23T01:32:32.0230799Z     buf0 = empty_strided((196, 992), (992, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0230892Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0231034Z     triton_fused_scatter0.run(arg0_1, buf0, 194432, grid=grid(194432), stream=stream0)
2022-11-23T01:32:32.0231107Z     del arg0_1
2022-11-23T01:32:32.0231256Z     triton_fused_scatter1.run(arg1_1, arg2_1, buf0, 992, grid=grid(992), stream=stream0)
2022-11-23T01:32:32.0231330Z     del arg1_1
2022-11-23T01:32:32.0231404Z     del arg2_1
2022-11-23T01:32:32.0231480Z     return (buf0, )
2022-11-23T01:32:32.0231485Z 
2022-11-23T01:32:32.0231490Z 
2022-11-23T01:32:32.0231572Z if __name__ == "__main__":
2022-11-23T01:32:32.0231696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0231821Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0232032Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0232233Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0232435Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0232565Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0232570Z 
2022-11-23T01:32:32.0232575Z 
2022-11-23T01:32:32.0232677Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0232751Z import torch
2022-11-23T01:32:32.0232825Z import random
2022-11-23T01:32:32.0232940Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0233066Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0233072Z 
2022-11-23T01:32:32.0233155Z aten = torch.ops.aten
2022-11-23T01:32:32.0233330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0233446Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0233451Z 
2022-11-23T01:32:32.0233528Z import triton
2022-11-23T01:32:32.0233624Z import triton.language as tl
2022-11-23T01:32:32.0233744Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0233888Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0233894Z 
2022-11-23T01:32:32.0233898Z 
2022-11-23T01:32:32.0234062Z triton_fused_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0234138Z import triton
2022-11-23T01:32:32.0234234Z import triton.language as tl
2022-11-23T01:32:32.0234349Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0234453Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0234592Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0234713Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0234718Z 
2022-11-23T01:32:32.0235094Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0235172Z @triton.jit
2022-11-23T01:32:32.0235308Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0235386Z     xnumel = 194432
2022-11-23T01:32:32.0235485Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0235619Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0235705Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0235771Z     x0 = xindex
2022-11-23T01:32:32.0235891Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0236028Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0236117Z ''')
2022-11-23T01:32:32.0236122Z 
2022-11-23T01:32:32.0236126Z 
2022-11-23T01:32:32.0236292Z triton_fused_scatter1 = async_compile.triton('''
2022-11-23T01:32:32.0236370Z import triton
2022-11-23T01:32:32.0236464Z import triton.language as tl
2022-11-23T01:32:32.0236573Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0236677Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0236811Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0236939Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0236944Z 
2022-11-23T01:32:32.0237326Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0237401Z @triton.jit
2022-11-23T01:32:32.0237547Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0237623Z     xnumel = 992
2022-11-23T01:32:32.0237715Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0237850Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0237939Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0238016Z     x0 = xindex
2022-11-23T01:32:32.0238113Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0238235Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0238383Z     tl.store(out_ptr0 + (x0 + (992*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0238464Z ''')
2022-11-23T01:32:32.0238477Z 
2022-11-23T01:32:32.0238481Z 
2022-11-23T01:32:32.0238570Z async_compile.wait(globals())
2022-11-23T01:32:32.0238649Z del async_compile
2022-11-23T01:32:32.0238655Z 
2022-11-23T01:32:32.0238730Z def call(args):
2022-11-23T01:32:32.0238819Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0238900Z     args.clear()
2022-11-23T01:32:32.0239105Z     buf0 = empty_strided((196, 992), (992, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0239200Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0239380Z     triton_fused_scatter0.run(arg0_1, buf0, 194432, grid=grid(194432), stream=stream0)
2022-11-23T01:32:32.0239477Z     del arg0_1
2022-11-23T01:32:32.0239627Z     triton_fused_scatter1.run(arg1_1, arg2_1, buf0, 992, grid=grid(992), stream=stream0)
2022-11-23T01:32:32.0239702Z     del arg1_1
2022-11-23T01:32:32.0239776Z     del arg2_1
2022-11-23T01:32:32.0239854Z     return (buf0, )
2022-11-23T01:32:32.0239860Z 
2022-11-23T01:32:32.0239864Z 
2022-11-23T01:32:32.0239946Z if __name__ == "__main__":
2022-11-23T01:32:32.0240069Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0240192Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0240405Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0240605Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0240806Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0240941Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0240949Z 
2022-11-23T01:32:32.0241022Z ok (0.224s)
2022-11-23T01:32:32.0241191Z   test_scatter_add1_cuda (__main__.CudaTests) ... skip: Flaky test, needs debugging (0.000s)
2022-11-23T01:32:32.0241505Z   test_scatter_add2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0241812Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0242032Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0242288Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0242580Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0242933Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0243276Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0243598Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0243965Z [2022-11-23 01:30:13,689] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743> 
2022-11-23T01:32:32.0244068Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0244179Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:32.0244274Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0244373Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0244475Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0244574Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0244673Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0244755Z               14 RETURN_VALUE
2022-11-23T01:32:32.0244822Z  
2022-11-23T01:32:32.0244828Z 
2022-11-23T01:32:32.0245132Z [2022-11-23 01:30:13,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744
2022-11-23T01:32:32.0245353Z [2022-11-23 01:30:13,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0245661Z [2022-11-23 01:30:13,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0245973Z [2022-11-23 01:30:13,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:32.0246290Z [2022-11-23 01:30:13,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:32.0246619Z [2022-11-23 01:30:13,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0246965Z [2022-11-23 01:30:13,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0247344Z [2022-11-23 01:30:13,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0247590Z [2022-11-23 01:30:13,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0247961Z [2022-11-23 01:30:13,696] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743>
2022-11-23T01:32:32.0248210Z [2022-11-23 01:30:13,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0248438Z [2022-11-23 01:30:13,697] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0248693Z [2022-11-23 01:30:13,697] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0248943Z [2022-11-23 01:30:13,701] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0249135Z [2022-11-23 01:30:13,702] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0249277Z  __compiled_fn_686 <eval_with_key>.4239 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0249372Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0249467Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0249559Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0249695Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0249808Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:32.0249813Z 
2022-11-23T01:32:32.0250137Z [2022-11-23 01:30:13,702] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0250239Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0250341Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0250435Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0250534Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0250627Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0250714Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0250797Z              12 RETURN_VALUE
2022-11-23T01:32:32.0250807Z 
2022-11-23T01:32:32.0250872Z  
2022-11-23T01:32:32.0251191Z [2022-11-23 01:30:13,702] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0251312Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_686)
2022-11-23T01:32:32.0251409Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0251506Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0251590Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0251677Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0251773Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0251856Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0251950Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0252044Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0252125Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0252253Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0252344Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0252447Z              24 RETURN_VALUE
2022-11-23T01:32:32.0252453Z 
2022-11-23T01:32:32.0252521Z  
2022-11-23T01:32:32.0252733Z [2022-11-23 01:30:13,703] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0252817Z  - 
2022-11-23T01:32:32.0252961Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0253032Z             {
2022-11-23T01:32:32.0253169Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0253358Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0253482Z                 'obj_weakref': None
2022-11-23T01:32:32.0253711Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0253781Z             }
2022-11-23T01:32:32.0253851Z             
2022-11-23T01:32:32.0253928Z  - 
2022-11-23T01:32:32.0254048Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0254120Z             {
2022-11-23T01:32:32.0254267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0254381Z                 'code': None,
2022-11-23T01:32:32.0254596Z                 'obj_weakref': <weakref at 0x7f1ffad7d170; to 'Tensor' at 0x7f1ffad5fa10>
2022-11-23T01:32:32.0254846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0254916Z             }
2022-11-23T01:32:32.0254978Z             
2022-11-23T01:32:32.0255053Z  - 
2022-11-23T01:32:32.0255187Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0255256Z             {
2022-11-23T01:32:32.0255403Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0255594Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:32.0255715Z                 'obj_weakref': None
2022-11-23T01:32:32.0255930Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0255999Z             }
2022-11-23T01:32:32.0256071Z             
2022-11-23T01:32:32.0256149Z  - 
2022-11-23T01:32:32.0256278Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0256346Z             {
2022-11-23T01:32:32.0256493Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0256597Z                 'code': None,
2022-11-23T01:32:32.0256810Z                 'obj_weakref': <weakref at 0x7f2151eedd50; to 'Tensor' at 0x7f1ffad43fb0>
2022-11-23T01:32:32.0257058Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0257128Z             }
2022-11-23T01:32:32.0257197Z             
2022-11-23T01:32:32.0257271Z  - 
2022-11-23T01:32:32.0257398Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0257460Z             {
2022-11-23T01:32:32.0257604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0257718Z                 'code': None,
2022-11-23T01:32:32.0257932Z                 'obj_weakref': <weakref at 0x7f1fd8179940; to 'Tensor' at 0x7f1ffad42020>
2022-11-23T01:32:32.0258184Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0258253Z             }
2022-11-23T01:32:32.0258323Z             
2022-11-23T01:32:32.0258391Z  - 
2022-11-23T01:32:32.0258523Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0258593Z             {
2022-11-23T01:32:32.0258731Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0259116Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0259241Z                 'obj_weakref': None
2022-11-23T01:32:32.0259469Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0259530Z             }
2022-11-23T01:32:32.0259603Z             
2022-11-23T01:32:32.0259679Z  - 
2022-11-23T01:32:32.0259802Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0259923Z             {
2022-11-23T01:32:32.0260088Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0260304Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0260419Z                 'obj_weakref': None
2022-11-23T01:32:32.0260641Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0260709Z             }
2022-11-23T01:32:32.0260778Z             
2022-11-23T01:32:32.0260857Z  - 
2022-11-23T01:32:32.0260992Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0261061Z             {
2022-11-23T01:32:32.0261178Z                 'guard_types': None,
2022-11-23T01:32:32.0261289Z                 'code': None,
2022-11-23T01:32:32.0261410Z                 'obj_weakref': None
2022-11-23T01:32:32.0261538Z                 'guarded_class': None
2022-11-23T01:32:32.0261607Z             }
2022-11-23T01:32:32.0261675Z             
2022-11-23T01:32:32.0261939Z [2022-11-23 01:30:13,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 669
2022-11-23T01:32:32.0262181Z [2022-11-23 01:30:13,715] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0262428Z [2022-11-23 01:30:13,716] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0262790Z [2022-11-23 01:30:13,784] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nf/cnfe7uyag6xy2pgbngou5hwwqehs77zkjcsc6pmvmbpfr2uvuwlh.py
2022-11-23T01:32:32.0263053Z [2022-11-23 01:30:13,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 669
2022-11-23T01:32:32.0263289Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0263607Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0263826Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0264080Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0264354Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0264667Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0264999Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0265318Z [2022-11-23 01:30:13,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0265687Z [2022-11-23 01:30:13,789] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743> 
2022-11-23T01:32:32.0265793Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0265908Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:32.0266008Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0266105Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0266204Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0266294Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0266389Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0266470Z               14 RETURN_VALUE
2022-11-23T01:32:32.0266534Z  
2022-11-23T01:32:32.0266540Z 
2022-11-23T01:32:32.0266883Z [2022-11-23 01:30:13,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744
2022-11-23T01:32:32.0267105Z [2022-11-23 01:30:13,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0267434Z [2022-11-23 01:30:13,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0267696Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:32.0267986Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:32.0268306Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0268654Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0269032Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0269281Z [2022-11-23 01:30:13,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0269648Z [2022-11-23 01:30:13,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743>
2022-11-23T01:32:32.0269894Z [2022-11-23 01:30:13,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0270126Z [2022-11-23 01:30:13,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0270449Z [2022-11-23 01:30:13,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0270708Z [2022-11-23 01:30:13,799] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0270902Z [2022-11-23 01:30:13,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0271036Z  __compiled_fn_687 <eval_with_key>.4245 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0271134Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0271227Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0271322Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0271466Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0271586Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:32.0271591Z 
2022-11-23T01:32:32.0271914Z [2022-11-23 01:30:13,800] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0272013Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0272105Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0272202Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0272301Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0272394Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0272489Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0272571Z              12 RETURN_VALUE
2022-11-23T01:32:32.0272577Z 
2022-11-23T01:32:32.0272644Z  
2022-11-23T01:32:32.0272962Z [2022-11-23 01:30:13,800] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0273073Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_687)
2022-11-23T01:32:32.0273172Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0273270Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0273354Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0273485Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0273582Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0273686Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0273773Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0273868Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0273951Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0274045Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0274143Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0274225Z              24 RETURN_VALUE
2022-11-23T01:32:32.0274231Z 
2022-11-23T01:32:32.0274296Z  
2022-11-23T01:32:32.0274477Z [2022-11-23 01:30:13,801] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0274553Z  - 
2022-11-23T01:32:32.0274677Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0274748Z             {
2022-11-23T01:32:32.0274895Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0275089Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0275215Z                 'obj_weakref': None
2022-11-23T01:32:32.0275430Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0275500Z             }
2022-11-23T01:32:32.0275568Z             
2022-11-23T01:32:32.0275644Z  - 
2022-11-23T01:32:32.0275771Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0275839Z             {
2022-11-23T01:32:32.0275985Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0276089Z                 'code': None,
2022-11-23T01:32:32.0276302Z                 'obj_weakref': <weakref at 0x7f1ffad5cdb0; to 'Tensor' at 0x7f1ffad41710>
2022-11-23T01:32:32.0276548Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0276620Z             }
2022-11-23T01:32:32.0276691Z             
2022-11-23T01:32:32.0276766Z  - 
2022-11-23T01:32:32.0276900Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0276962Z             {
2022-11-23T01:32:32.0277111Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0277300Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:32.0277424Z                 'obj_weakref': None
2022-11-23T01:32:32.0277645Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0277715Z             }
2022-11-23T01:32:32.0277784Z             
2022-11-23T01:32:32.0277852Z  - 
2022-11-23T01:32:32.0277980Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0278050Z             {
2022-11-23T01:32:32.0278196Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0278307Z                 'code': None,
2022-11-23T01:32:32.0278519Z                 'obj_weakref': <weakref at 0x7f2151eedd50; to 'Tensor' at 0x7f1ffad43fb0>
2022-11-23T01:32:32.0278767Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0278839Z             }
2022-11-23T01:32:32.0278901Z             
2022-11-23T01:32:32.0278975Z  - 
2022-11-23T01:32:32.0279102Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0279172Z             {
2022-11-23T01:32:32.0279318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0279428Z                 'code': None,
2022-11-23T01:32:32.0279632Z                 'obj_weakref': <weakref at 0x7f1fd816bb00; to 'Tensor' at 0x7f1ffad7c220>
2022-11-23T01:32:32.0279876Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0279945Z             }
2022-11-23T01:32:32.0280015Z             
2022-11-23T01:32:32.0280090Z  - 
2022-11-23T01:32:32.0280225Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0280298Z             {
2022-11-23T01:32:32.0280429Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0280632Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0280773Z                 'obj_weakref': None
2022-11-23T01:32:32.0280999Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0281071Z             }
2022-11-23T01:32:32.0281140Z             
2022-11-23T01:32:32.0281214Z  - 
2022-11-23T01:32:32.0281332Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0281400Z             {
2022-11-23T01:32:32.0281540Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0281756Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0281879Z                 'obj_weakref': None
2022-11-23T01:32:32.0282098Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0282169Z             }
2022-11-23T01:32:32.0282230Z             
2022-11-23T01:32:32.0282304Z  - 
2022-11-23T01:32:32.0282442Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0282513Z             {
2022-11-23T01:32:32.0282644Z                 'guard_types': None,
2022-11-23T01:32:32.0282775Z                 'code': None,
2022-11-23T01:32:32.0282918Z                 'obj_weakref': None
2022-11-23T01:32:32.0283038Z                 'guarded_class': None
2022-11-23T01:32:32.0283106Z             }
2022-11-23T01:32:32.0283175Z             
2022-11-23T01:32:32.0283433Z [2022-11-23 01:30:13,805] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 670
2022-11-23T01:32:32.0283677Z [2022-11-23 01:30:13,811] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0283918Z [2022-11-23 01:30:13,812] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0284285Z [2022-11-23 01:30:13,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pp/cppl2zj7am4uuj2rxojpybnpwyvsvqs6vbjxhau4hkko2sdidqx3.py
2022-11-23T01:32:32.0284550Z [2022-11-23 01:30:13,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 670
2022-11-23T01:32:32.0284559Z 
2022-11-23T01:32:32.0284659Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0284727Z import torch
2022-11-23T01:32:32.0284802Z import random
2022-11-23T01:32:32.0284925Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0285053Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0285058Z 
2022-11-23T01:32:32.0285142Z aten = torch.ops.aten
2022-11-23T01:32:32.0285282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0285380Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0285385Z 
2022-11-23T01:32:32.0285452Z import triton
2022-11-23T01:32:32.0285549Z import triton.language as tl
2022-11-23T01:32:32.0285678Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0285823Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0285831Z 
2022-11-23T01:32:32.0285836Z 
2022-11-23T01:32:32.0286007Z triton_fused_scatter_add0 = async_compile.triton('''
2022-11-23T01:32:32.0286084Z import triton
2022-11-23T01:32:32.0286177Z import triton.language as tl
2022-11-23T01:32:32.0286297Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0286393Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0286531Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0286658Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0286663Z 
2022-11-23T01:32:32.0287031Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0287105Z @triton.jit
2022-11-23T01:32:32.0287239Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0287316Z     xnumel = 6
2022-11-23T01:32:32.0287443Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0287598Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0287684Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0287755Z     x0 = xindex
2022-11-23T01:32:32.0287854Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0287989Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0288076Z ''')
2022-11-23T01:32:32.0288082Z 
2022-11-23T01:32:32.0288086Z 
2022-11-23T01:32:32.0288253Z triton_fused_scatter_add1 = async_compile.triton('''
2022-11-23T01:32:32.0288322Z import triton
2022-11-23T01:32:32.0288416Z import triton.language as tl
2022-11-23T01:32:32.0288530Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0288633Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0288767Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0288894Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0288899Z 
2022-11-23T01:32:32.0289277Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0289355Z @triton.jit
2022-11-23T01:32:32.0289491Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0289565Z     xnumel = 6
2022-11-23T01:32:32.0289662Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0289793Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0289877Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0289949Z     x2 = xindex
2022-11-23T01:32:32.0290024Z     x0 = xindex % 3
2022-11-23T01:32:32.0290117Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0290214Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:32.0290364Z     tl.atomic_add(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0290452Z ''')
2022-11-23T01:32:32.0290458Z 
2022-11-23T01:32:32.0290464Z 
2022-11-23T01:32:32.0290558Z async_compile.wait(globals())
2022-11-23T01:32:32.0290639Z del async_compile
2022-11-23T01:32:32.0290645Z 
2022-11-23T01:32:32.0290721Z def call(args):
2022-11-23T01:32:32.0290808Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0290878Z     args.clear()
2022-11-23T01:32:32.0291079Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0291171Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0291322Z     triton_fused_scatter_add0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0291396Z     del arg0_1
2022-11-23T01:32:32.0291547Z     triton_fused_scatter_add1.run(arg1_1, arg2_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0291620Z     del arg1_1
2022-11-23T01:32:32.0291686Z     del arg2_1
2022-11-23T01:32:32.0291763Z     return (buf0, )
2022-11-23T01:32:32.0291768Z 
2022-11-23T01:32:32.0291773Z 
2022-11-23T01:32:32.0291857Z if __name__ == "__main__":
2022-11-23T01:32:32.0291977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0292125Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0292354Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0292548Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0292734Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0292865Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0292870Z 
2022-11-23T01:32:32.0292874Z 
2022-11-23T01:32:32.0292974Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0293048Z import torch
2022-11-23T01:32:32.0293125Z import random
2022-11-23T01:32:32.0293247Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0293374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0293379Z 
2022-11-23T01:32:32.0293492Z aten = torch.ops.aten
2022-11-23T01:32:32.0293653Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0293753Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0293758Z 
2022-11-23T01:32:32.0293833Z import triton
2022-11-23T01:32:32.0293926Z import triton.language as tl
2022-11-23T01:32:32.0294053Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0294195Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0294200Z 
2022-11-23T01:32:32.0294205Z 
2022-11-23T01:32:32.0294371Z triton_fused_scatter_add0 = async_compile.triton('''
2022-11-23T01:32:32.0294447Z import triton
2022-11-23T01:32:32.0294533Z import triton.language as tl
2022-11-23T01:32:32.0294649Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0294754Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0294888Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0295019Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0295026Z 
2022-11-23T01:32:32.0295386Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0295460Z @triton.jit
2022-11-23T01:32:32.0295594Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0295660Z     xnumel = 6
2022-11-23T01:32:32.0295760Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0295893Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0295977Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0296049Z     x0 = xindex
2022-11-23T01:32:32.0296168Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0296304Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0296383Z ''')
2022-11-23T01:32:32.0296388Z 
2022-11-23T01:32:32.0296399Z 
2022-11-23T01:32:32.0296559Z triton_fused_scatter_add1 = async_compile.triton('''
2022-11-23T01:32:32.0296638Z import triton
2022-11-23T01:32:32.0296731Z import triton.language as tl
2022-11-23T01:32:32.0296845Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0296947Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0297079Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0297205Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0297210Z 
2022-11-23T01:32:32.0297575Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0297647Z @triton.jit
2022-11-23T01:32:32.0297789Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0297862Z     xnumel = 6
2022-11-23T01:32:32.0297959Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0298095Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0298182Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0298253Z     x2 = xindex
2022-11-23T01:32:32.0298320Z     x0 = xindex % 3
2022-11-23T01:32:32.0298418Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0298533Z     tmp1 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:32.0298683Z     tl.atomic_add(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0298769Z ''')
2022-11-23T01:32:32.0298775Z 
2022-11-23T01:32:32.0298779Z 
2022-11-23T01:32:32.0299000Z async_compile.wait(globals())
2022-11-23T01:32:32.0299076Z del async_compile
2022-11-23T01:32:32.0299082Z 
2022-11-23T01:32:32.0299150Z def call(args):
2022-11-23T01:32:32.0299235Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0299310Z     args.clear()
2022-11-23T01:32:32.0299509Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0299647Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0299819Z     triton_fused_scatter_add0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0299891Z     del arg0_1
2022-11-23T01:32:32.0300035Z     triton_fused_scatter_add1.run(arg1_1, arg2_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0300108Z     del arg1_1
2022-11-23T01:32:32.0300183Z     del arg2_1
2022-11-23T01:32:32.0300260Z     return (buf0, )
2022-11-23T01:32:32.0300265Z 
2022-11-23T01:32:32.0300269Z 
2022-11-23T01:32:32.0300349Z if __name__ == "__main__":
2022-11-23T01:32:32.0300470Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0300599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0300797Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0300984Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0301177Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0301306Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0301311Z 
2022-11-23T01:32:32.0301382Z ok (0.192s)
2022-11-23T01:32:32.0301694Z   test_scatter_add3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:13,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0302008Z [2022-11-23 01:30:13,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0302228Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0302482Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0302759Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0303069Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0303408Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0303726Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0304096Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757> 
2022-11-23T01:32:32.0304196Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0304309Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:32.0304410Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0304510Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0304612Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0304700Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0304795Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0304878Z               14 RETURN_VALUE
2022-11-23T01:32:32.0304943Z  
2022-11-23T01:32:32.0304949Z 
2022-11-23T01:32:32.0305259Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758
2022-11-23T01:32:32.0305477Z [2022-11-23 01:30:13,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0305784Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0306043Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:32.0306358Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:32.0306700Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0307045Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0307422Z [2022-11-23 01:30:13,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0307670Z [2022-11-23 01:30:13,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0308047Z [2022-11-23 01:30:13,889] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757>
2022-11-23T01:32:32.0308298Z [2022-11-23 01:30:13,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0308531Z [2022-11-23 01:30:13,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0308786Z [2022-11-23 01:30:13,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0309034Z [2022-11-23 01:30:13,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0309225Z [2022-11-23 01:30:13,893] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0309359Z  __compiled_fn_688 <eval_with_key>.4251 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0309457Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0309547Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0309640Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0309784Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0309896Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:32.0309902Z 
2022-11-23T01:32:32.0310223Z [2022-11-23 01:30:13,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0310409Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0310512Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0310620Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0310733Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0310840Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0310934Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0311017Z              12 RETURN_VALUE
2022-11-23T01:32:32.0311022Z 
2022-11-23T01:32:32.0311088Z  
2022-11-23T01:32:32.0311399Z [2022-11-23 01:30:13,894] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0311521Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_688)
2022-11-23T01:32:32.0311617Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0311712Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0311793Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0311889Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0311982Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0312063Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0312148Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0312245Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0312325Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0312418Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0312548Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0312649Z              24 RETURN_VALUE
2022-11-23T01:32:32.0312654Z 
2022-11-23T01:32:32.0312719Z  
2022-11-23T01:32:32.0312901Z [2022-11-23 01:30:13,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0312977Z  - 
2022-11-23T01:32:32.0313101Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0313172Z             {
2022-11-23T01:32:32.0313317Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0313510Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0313635Z                 'obj_weakref': None
2022-11-23T01:32:32.0313852Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0313919Z             }
2022-11-23T01:32:32.0313987Z             
2022-11-23T01:32:32.0314060Z  - 
2022-11-23T01:32:32.0314189Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0314258Z             {
2022-11-23T01:32:32.0314408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0314514Z                 'code': None,
2022-11-23T01:32:32.0314724Z                 'obj_weakref': <weakref at 0x7f1ffad8e1b0; to 'Tensor' at 0x7f21284a8cc0>
2022-11-23T01:32:32.0314974Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0315040Z             }
2022-11-23T01:32:32.0315108Z             
2022-11-23T01:32:32.0315183Z  - 
2022-11-23T01:32:32.0315316Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0315378Z             {
2022-11-23T01:32:32.0315524Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0315718Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0315840Z                 'obj_weakref': None
2022-11-23T01:32:32.0316058Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0316126Z             }
2022-11-23T01:32:32.0316196Z             
2022-11-23T01:32:32.0316266Z  - 
2022-11-23T01:32:32.0316394Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0316461Z             {
2022-11-23T01:32:32.0316606Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0316717Z                 'code': None,
2022-11-23T01:32:32.0316924Z                 'obj_weakref': <weakref at 0x7f201e3c2ac0; to 'Tensor' at 0x7f21284a8ea0>
2022-11-23T01:32:32.0317172Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0317234Z             }
2022-11-23T01:32:32.0317300Z             
2022-11-23T01:32:32.0317378Z  - 
2022-11-23T01:32:32.0317504Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0317572Z             {
2022-11-23T01:32:32.0317717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0317827Z                 'code': None,
2022-11-23T01:32:32.0318032Z                 'obj_weakref': <weakref at 0x7f1ffad336f0; to 'Tensor' at 0x7f2151eee660>
2022-11-23T01:32:32.0318280Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0318351Z             }
2022-11-23T01:32:32.0318418Z             
2022-11-23T01:32:32.0318493Z  - 
2022-11-23T01:32:32.0318626Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0318694Z             {
2022-11-23T01:32:32.0318824Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0318998Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0319119Z                 'obj_weakref': None
2022-11-23T01:32:32.0319348Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0319418Z             }
2022-11-23T01:32:32.0319483Z             
2022-11-23T01:32:32.0319558Z  - 
2022-11-23T01:32:32.0319675Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0319742Z             {
2022-11-23T01:32:32.0319913Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0320148Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0320269Z                 'obj_weakref': None
2022-11-23T01:32:32.0320490Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0320558Z             }
2022-11-23T01:32:32.0320618Z             
2022-11-23T01:32:32.0320692Z  - 
2022-11-23T01:32:32.0320827Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0320895Z             {
2022-11-23T01:32:32.0321020Z                 'guard_types': None,
2022-11-23T01:32:32.0321131Z                 'code': None,
2022-11-23T01:32:32.0321252Z                 'obj_weakref': None
2022-11-23T01:32:32.0321369Z                 'guarded_class': None
2022-11-23T01:32:32.0321438Z             }
2022-11-23T01:32:32.0321505Z             
2022-11-23T01:32:32.0321768Z [2022-11-23 01:30:13,899] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 671
2022-11-23T01:32:32.0322018Z [2022-11-23 01:30:13,905] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0322264Z [2022-11-23 01:30:13,906] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0322650Z [2022-11-23 01:30:14,064] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v5/cv5d45nd7vzznrwkbabhokgjrmuhcodntj2pl6vuws5loihakz5s.py
2022-11-23T01:32:32.0322937Z [2022-11-23 01:30:14,065] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 671
2022-11-23T01:32:32.0323164Z [2022-11-23 01:30:14,068] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0323475Z [2022-11-23 01:30:14,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0323694Z [2022-11-23 01:30:14,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0323946Z [2022-11-23 01:30:14,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0324219Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0324534Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0324874Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0325192Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0325562Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757> 
2022-11-23T01:32:32.0325665Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0325766Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:32.0325863Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0325961Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0326060Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0326156Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0326251Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0326333Z               14 RETURN_VALUE
2022-11-23T01:32:32.0326391Z  
2022-11-23T01:32:32.0326397Z 
2022-11-23T01:32:32.0326707Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758
2022-11-23T01:32:32.0326954Z [2022-11-23 01:30:14,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0327279Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0327539Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:32.0327828Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:32.0328154Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0328497Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0328878Z [2022-11-23 01:30:14,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0329124Z [2022-11-23 01:30:14,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0329495Z [2022-11-23 01:30:14,076] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757>
2022-11-23T01:32:32.0329732Z [2022-11-23 01:30:14,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0329964Z [2022-11-23 01:30:14,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0330215Z [2022-11-23 01:30:14,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0330466Z [2022-11-23 01:30:14,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0330661Z [2022-11-23 01:30:14,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0330800Z  __compiled_fn_689 <eval_with_key>.4257 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0330893Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0330986Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0331069Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0331211Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T01:32:32.0331322Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:32.0331327Z 
2022-11-23T01:32:32.0331649Z [2022-11-23 01:30:14,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0331747Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0331846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0331940Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0332045Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0332129Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0332223Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0332304Z              12 RETURN_VALUE
2022-11-23T01:32:32.0332309Z 
2022-11-23T01:32:32.0332374Z  
2022-11-23T01:32:32.0332737Z [2022-11-23 01:30:14,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0332854Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_689)
2022-11-23T01:32:32.0332951Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0333052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0333127Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0333221Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0333344Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0333446Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0333541Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0333633Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0333716Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0333802Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0333899Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0333978Z              24 RETURN_VALUE
2022-11-23T01:32:32.0333983Z 
2022-11-23T01:32:32.0334049Z  
2022-11-23T01:32:32.0334238Z [2022-11-23 01:30:14,081] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0334313Z  - 
2022-11-23T01:32:32.0334439Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0334502Z             {
2022-11-23T01:32:32.0334645Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0334835Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0334964Z                 'obj_weakref': None
2022-11-23T01:32:32.0335189Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0335259Z             }
2022-11-23T01:32:32.0335326Z             
2022-11-23T01:32:32.0335394Z  - 
2022-11-23T01:32:32.0335522Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0335590Z             {
2022-11-23T01:32:32.0335733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0335844Z                 'code': None,
2022-11-23T01:32:32.0336059Z                 'obj_weakref': <weakref at 0x7f1fd9a6d6c0; to 'Tensor' at 0x7f1ffad7b0b0>
2022-11-23T01:32:32.0336305Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0336367Z             }
2022-11-23T01:32:32.0336435Z             
2022-11-23T01:32:32.0336510Z  - 
2022-11-23T01:32:32.0336643Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0336714Z             {
2022-11-23T01:32:32.0336861Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0337053Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0337168Z                 'obj_weakref': None
2022-11-23T01:32:32.0337384Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0337452Z             }
2022-11-23T01:32:32.0337521Z             
2022-11-23T01:32:32.0337595Z  - 
2022-11-23T01:32:32.0337721Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0337789Z             {
2022-11-23T01:32:32.0337926Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0338036Z                 'code': None,
2022-11-23T01:32:32.0338245Z                 'obj_weakref': <weakref at 0x7f201e3c2ac0; to 'Tensor' at 0x7f21284a8ea0>
2022-11-23T01:32:32.0338492Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0338562Z             }
2022-11-23T01:32:32.0338632Z             
2022-11-23T01:32:32.0338709Z  - 
2022-11-23T01:32:32.0338935Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0339005Z             {
2022-11-23T01:32:32.0339152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0339261Z                 'code': None,
2022-11-23T01:32:32.0339474Z                 'obj_weakref': <weakref at 0x7f1fd9b74a90; to 'Tensor' at 0x7f1ffad7e700>
2022-11-23T01:32:32.0339720Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0339790Z             }
2022-11-23T01:32:32.0339851Z             
2022-11-23T01:32:32.0339924Z  - 
2022-11-23T01:32:32.0340055Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0340123Z             {
2022-11-23T01:32:32.0340261Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0340437Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0340603Z                 'obj_weakref': None
2022-11-23T01:32:32.0340857Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0340926Z             }
2022-11-23T01:32:32.0340994Z             
2022-11-23T01:32:32.0341068Z  - 
2022-11-23T01:32:32.0341192Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0341257Z             {
2022-11-23T01:32:32.0341396Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0341603Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0341725Z                 'obj_weakref': None
2022-11-23T01:32:32.0341944Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0342014Z             }
2022-11-23T01:32:32.0342082Z             
2022-11-23T01:32:32.0342157Z  - 
2022-11-23T01:32:32.0342290Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0342355Z             {
2022-11-23T01:32:32.0342480Z                 'guard_types': None,
2022-11-23T01:32:32.0342593Z                 'code': None,
2022-11-23T01:32:32.0342714Z                 'obj_weakref': None
2022-11-23T01:32:32.0342838Z                 'guarded_class': None
2022-11-23T01:32:32.0342905Z             }
2022-11-23T01:32:32.0342970Z             
2022-11-23T01:32:32.0343221Z [2022-11-23 01:30:14,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 672
2022-11-23T01:32:32.0343467Z [2022-11-23 01:30:14,091] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0343710Z [2022-11-23 01:30:14,092] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0344070Z [2022-11-23 01:30:14,154] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilkcrfug5d2rh5dv7awdob5cnu3guncftgnlwqve4irotng3nwy.py
2022-11-23T01:32:32.0344336Z [2022-11-23 01:30:14,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 672
2022-11-23T01:32:32.0344344Z 
2022-11-23T01:32:32.0344443Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0344518Z import torch
2022-11-23T01:32:32.0344592Z import random
2022-11-23T01:32:32.0344706Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0344831Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0344836Z 
2022-11-23T01:32:32.0344919Z aten = torch.ops.aten
2022-11-23T01:32:32.0345059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0345156Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0345161Z 
2022-11-23T01:32:32.0345237Z import triton
2022-11-23T01:32:32.0345329Z import triton.language as tl
2022-11-23T01:32:32.0345458Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0345593Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0345598Z 
2022-11-23T01:32:32.0345610Z 
2022-11-23T01:32:32.0345773Z triton_fused_scatter_add0 = async_compile.triton('''
2022-11-23T01:32:32.0345849Z import triton
2022-11-23T01:32:32.0345942Z import triton.language as tl
2022-11-23T01:32:32.0346056Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0346159Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0346293Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0346419Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0346424Z 
2022-11-23T01:32:32.0346786Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0346860Z @triton.jit
2022-11-23T01:32:32.0346994Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0347069Z     xnumel = 1885
2022-11-23T01:32:32.0347166Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0347330Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0347458Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0347523Z     x0 = xindex
2022-11-23T01:32:32.0347619Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0347755Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0347843Z ''')
2022-11-23T01:32:32.0347848Z 
2022-11-23T01:32:32.0347853Z 
2022-11-23T01:32:32.0348019Z triton_fused_scatter_add1 = async_compile.triton('''
2022-11-23T01:32:32.0348094Z import triton
2022-11-23T01:32:32.0348189Z import triton.language as tl
2022-11-23T01:32:32.0348304Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0348399Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0348532Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0348660Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0348665Z 
2022-11-23T01:32:32.0349045Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0349122Z @triton.jit
2022-11-23T01:32:32.0349265Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0349338Z     xnumel = 4
2022-11-23T01:32:32.0349434Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0349558Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0349644Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0349715Z     x0 = xindex
2022-11-23T01:32:32.0349811Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0349909Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.0350056Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0350140Z ''')
2022-11-23T01:32:32.0350145Z 
2022-11-23T01:32:32.0350150Z 
2022-11-23T01:32:32.0350238Z async_compile.wait(globals())
2022-11-23T01:32:32.0350389Z del async_compile
2022-11-23T01:32:32.0350394Z 
2022-11-23T01:32:32.0350469Z def call(args):
2022-11-23T01:32:32.0350559Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0350635Z     args.clear()
2022-11-23T01:32:32.0350846Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0350938Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0351086Z     triton_fused_scatter_add0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0351151Z     del arg0_1
2022-11-23T01:32:32.0351301Z     triton_fused_scatter_add1.run(arg1_1, arg2_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0351375Z     del arg1_1
2022-11-23T01:32:32.0351447Z     del arg2_1
2022-11-23T01:32:32.0351523Z     return (buf0, )
2022-11-23T01:32:32.0351528Z 
2022-11-23T01:32:32.0351533Z 
2022-11-23T01:32:32.0351611Z if __name__ == "__main__":
2022-11-23T01:32:32.0351735Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0351860Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0352071Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0352273Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0352482Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0352610Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0352615Z 
2022-11-23T01:32:32.0352619Z 
2022-11-23T01:32:32.0352718Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0352795Z import torch
2022-11-23T01:32:32.0352870Z import random
2022-11-23T01:32:32.0352982Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0353107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0353112Z 
2022-11-23T01:32:32.0353194Z aten = torch.ops.aten
2022-11-23T01:32:32.0353367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0353483Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0353489Z 
2022-11-23T01:32:32.0353561Z import triton
2022-11-23T01:32:32.0353654Z import triton.language as tl
2022-11-23T01:32:32.0353779Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0353913Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0353919Z 
2022-11-23T01:32:32.0353923Z 
2022-11-23T01:32:32.0354090Z triton_fused_scatter_add0 = async_compile.triton('''
2022-11-23T01:32:32.0354165Z import triton
2022-11-23T01:32:32.0354257Z import triton.language as tl
2022-11-23T01:32:32.0354370Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0354475Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0354610Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0354729Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0354743Z 
2022-11-23T01:32:32.0355107Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0355183Z @triton.jit
2022-11-23T01:32:32.0355315Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0355388Z     xnumel = 1885
2022-11-23T01:32:32.0355486Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0355613Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0355697Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0355761Z     x0 = xindex
2022-11-23T01:32:32.0355883Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0356020Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0356106Z ''')
2022-11-23T01:32:32.0356112Z 
2022-11-23T01:32:32.0356116Z 
2022-11-23T01:32:32.0356283Z triton_fused_scatter_add1 = async_compile.triton('''
2022-11-23T01:32:32.0356359Z import triton
2022-11-23T01:32:32.0356454Z import triton.language as tl
2022-11-23T01:32:32.0356568Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0356662Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0356795Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0356923Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0356928Z 
2022-11-23T01:32:32.0357301Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0357373Z @triton.jit
2022-11-23T01:32:32.0357514Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0357589Z     xnumel = 4
2022-11-23T01:32:32.0357685Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0357812Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0357898Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0357970Z     x0 = xindex
2022-11-23T01:32:32.0358066Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0358182Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0358328Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0358413Z ''')
2022-11-23T01:32:32.0358418Z 
2022-11-23T01:32:32.0358423Z 
2022-11-23T01:32:32.0358509Z async_compile.wait(globals())
2022-11-23T01:32:32.0358586Z del async_compile
2022-11-23T01:32:32.0358592Z 
2022-11-23T01:32:32.0358666Z def call(args):
2022-11-23T01:32:32.0358752Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0358827Z     args.clear()
2022-11-23T01:32:32.0359037Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0359125Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0359299Z     triton_fused_scatter_add0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0359386Z     del arg0_1
2022-11-23T01:32:32.0359535Z     triton_fused_scatter_add1.run(arg1_1, arg2_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0359606Z     del arg1_1
2022-11-23T01:32:32.0359676Z     del arg2_1
2022-11-23T01:32:32.0359750Z     return (buf0, )
2022-11-23T01:32:32.0359756Z 
2022-11-23T01:32:32.0359760Z 
2022-11-23T01:32:32.0359841Z if __name__ == "__main__":
2022-11-23T01:32:32.0359961Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0360082Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0360292Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0360493Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0360697Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0360827Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0360834Z 
2022-11-23T01:32:32.0360905Z ok (0.278s)
2022-11-23T01:32:32.0361223Z   test_scatter_reduce1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0361538Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0361755Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0362002Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0362277Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0362594Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0362986Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0363303Z [2022-11-23 01:30:14,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0363667Z [2022-11-23 01:30:14,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771> 
2022-11-23T01:32:32.0363770Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0363882Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T01:32:32.0363982Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0364073Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0364172Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0364272Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0364416Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:32.0364510Z               14 CALL_METHOD              5
2022-11-23T01:32:32.0364594Z               16 RETURN_VALUE
2022-11-23T01:32:32.0364659Z  
2022-11-23T01:32:32.0364665Z 
2022-11-23T01:32:32.0364973Z [2022-11-23 01:30:14,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772
2022-11-23T01:32:32.0365187Z [2022-11-23 01:30:14,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0365503Z [2022-11-23 01:30:14,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0365800Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:32.0366094Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:32.0366458Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0366811Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0367196Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0367626Z [2022-11-23 01:30:14,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.0367879Z [2022-11-23 01:30:14,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0368253Z [2022-11-23 01:30:14,167] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771>
2022-11-23T01:32:32.0368500Z [2022-11-23 01:30:14,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0368725Z [2022-11-23 01:30:14,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0368977Z [2022-11-23 01:30:14,168] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0369225Z [2022-11-23 01:30:14,172] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0369417Z [2022-11-23 01:30:14,172] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0369559Z  __compiled_fn_690 <eval_with_key>.4263 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0369654Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0369748Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0369840Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0370049Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T01:32:32.0370165Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:32.0370170Z 
2022-11-23T01:32:32.0370491Z [2022-11-23 01:30:14,172] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0370591Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0370688Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0370782Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0370885Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0370978Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0371065Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0371147Z              12 RETURN_VALUE
2022-11-23T01:32:32.0371153Z 
2022-11-23T01:32:32.0371218Z  
2022-11-23T01:32:32.0371531Z [2022-11-23 01:30:14,172] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0371648Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_690)
2022-11-23T01:32:32.0371746Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0371843Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0371925Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0372012Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0372109Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0372190Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0372308Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0372424Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0372506Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0372624Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0372719Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0372820Z              24 RETURN_VALUE
2022-11-23T01:32:32.0372826Z 
2022-11-23T01:32:32.0372891Z  
2022-11-23T01:32:32.0373076Z [2022-11-23 01:30:14,173] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0373152Z  - 
2022-11-23T01:32:32.0373277Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0373344Z             {
2022-11-23T01:32:32.0373482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0373672Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0373794Z                 'obj_weakref': None
2022-11-23T01:32:32.0374019Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0374093Z             }
2022-11-23T01:32:32.0374162Z             
2022-11-23T01:32:32.0374237Z  - 
2022-11-23T01:32:32.0374358Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0374426Z             {
2022-11-23T01:32:32.0374572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0374683Z                 'code': None,
2022-11-23T01:32:32.0374898Z                 'obj_weakref': <weakref at 0x7f1ffad32ac0; to 'Tensor' at 0x7f1ffad7b0b0>
2022-11-23T01:32:32.0375148Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0375215Z             }
2022-11-23T01:32:32.0375276Z             
2022-11-23T01:32:32.0375352Z  - 
2022-11-23T01:32:32.0375483Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0375552Z             {
2022-11-23T01:32:32.0375699Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0375889Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0376015Z                 'obj_weakref': None
2022-11-23T01:32:32.0376226Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0376293Z             }
2022-11-23T01:32:32.0376361Z             
2022-11-23T01:32:32.0376439Z  - 
2022-11-23T01:32:32.0376565Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0376634Z             {
2022-11-23T01:32:32.0376776Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0376880Z                 'code': None,
2022-11-23T01:32:32.0377094Z                 'obj_weakref': <weakref at 0x7f1ffad30ae0; to 'Tensor' at 0x7f1ffad7e700>
2022-11-23T01:32:32.0377338Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0377406Z             }
2022-11-23T01:32:32.0377471Z             
2022-11-23T01:32:32.0377547Z  - 
2022-11-23T01:32:32.0377674Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0377737Z             {
2022-11-23T01:32:32.0377881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0377993Z                 'code': None,
2022-11-23T01:32:32.0378208Z                 'obj_weakref': <weakref at 0x7f1ffad2c950; to 'Tensor' at 0x7f1fd9a6f970>
2022-11-23T01:32:32.0378455Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0378522Z             }
2022-11-23T01:32:32.0378589Z             
2022-11-23T01:32:32.0378657Z  - 
2022-11-23T01:32:32.0378904Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0378976Z             {
2022-11-23T01:32:32.0379115Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0379287Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0379409Z                 'obj_weakref': None
2022-11-23T01:32:32.0379690Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0379775Z             }
2022-11-23T01:32:32.0379844Z             
2022-11-23T01:32:32.0379921Z  - 
2022-11-23T01:32:32.0380046Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0380114Z             {
2022-11-23T01:32:32.0380254Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0380468Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0380583Z                 'obj_weakref': None
2022-11-23T01:32:32.0380800Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0380869Z             }
2022-11-23T01:32:32.0380936Z             
2022-11-23T01:32:32.0381009Z  - 
2022-11-23T01:32:32.0381145Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0381213Z             {
2022-11-23T01:32:32.0381329Z                 'guard_types': None,
2022-11-23T01:32:32.0381442Z                 'code': None,
2022-11-23T01:32:32.0381565Z                 'obj_weakref': None
2022-11-23T01:32:32.0381688Z                 'guarded_class': None
2022-11-23T01:32:32.0381754Z             }
2022-11-23T01:32:32.0381821Z             
2022-11-23T01:32:32.0382079Z [2022-11-23 01:30:14,177] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 673
2022-11-23T01:32:32.0382318Z [2022-11-23 01:30:14,183] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0382560Z [2022-11-23 01:30:14,185] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0382923Z [2022-11-23 01:30:14,192] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wc/cwcuj7fwh3jszxgfc22iu2iwgfxxqcpbvvrddetxpep4j2tomfgd.py
2022-11-23T01:32:32.0383184Z [2022-11-23 01:30:14,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 673
2022-11-23T01:32:32.0383422Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0383735Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0383953Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0384204Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0384477Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0384793Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0385126Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0385445Z [2022-11-23 01:30:14,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0385809Z [2022-11-23 01:30:14,197] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771> 
2022-11-23T01:32:32.0385912Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0386027Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T01:32:32.0386123Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0386220Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0386318Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0386406Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0386549Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:32.0386670Z               14 CALL_METHOD              5
2022-11-23T01:32:32.0386777Z               16 RETURN_VALUE
2022-11-23T01:32:32.0386846Z  
2022-11-23T01:32:32.0386852Z 
2022-11-23T01:32:32.0387162Z [2022-11-23 01:30:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772
2022-11-23T01:32:32.0387381Z [2022-11-23 01:30:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0387754Z [2022-11-23 01:30:14,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0388071Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:32.0388392Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:32.0388850Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0389226Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0389604Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0390022Z [2022-11-23 01:30:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.0390342Z [2022-11-23 01:30:14,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0390739Z [2022-11-23 01:30:14,204] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771>
2022-11-23T01:32:32.0390986Z [2022-11-23 01:30:14,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0391220Z [2022-11-23 01:30:14,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0391475Z [2022-11-23 01:30:14,205] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0391725Z [2022-11-23 01:30:14,207] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0391911Z [2022-11-23 01:30:14,207] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0397954Z  __compiled_fn_691 <eval_with_key>.4269 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0398064Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0398166Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0398263Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0398526Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T01:32:32.0398653Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:32.0398659Z 
2022-11-23T01:32:32.0399038Z [2022-11-23 01:30:14,208] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0399137Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0399239Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0399336Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0399441Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0399535Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0399632Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0399780Z              12 RETURN_VALUE
2022-11-23T01:32:32.0399786Z 
2022-11-23T01:32:32.0399867Z  
2022-11-23T01:32:32.0400186Z [2022-11-23 01:30:14,208] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0400306Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_691)
2022-11-23T01:32:32.0400403Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0400501Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0400585Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0400681Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0400776Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0400851Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0400945Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0401038Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0401120Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0401217Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0401315Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0401397Z              24 RETURN_VALUE
2022-11-23T01:32:32.0401403Z 
2022-11-23T01:32:32.0401462Z  
2022-11-23T01:32:32.0401650Z [2022-11-23 01:30:14,209] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0401725Z  - 
2022-11-23T01:32:32.0401850Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0401919Z             {
2022-11-23T01:32:32.0402065Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0402255Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0402390Z                 'obj_weakref': None
2022-11-23T01:32:32.0402651Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0402723Z             }
2022-11-23T01:32:32.0402793Z             
2022-11-23T01:32:32.0402870Z  - 
2022-11-23T01:32:32.0403002Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0403072Z             {
2022-11-23T01:32:32.0403218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0403334Z                 'code': None,
2022-11-23T01:32:32.0403549Z                 'obj_weakref': <weakref at 0x7f1ffad7f510; to 'Tensor' at 0x7f1feacee5c0>
2022-11-23T01:32:32.0403802Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0403871Z             }
2022-11-23T01:32:32.0403940Z             
2022-11-23T01:32:32.0404016Z  - 
2022-11-23T01:32:32.0404143Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0404212Z             {
2022-11-23T01:32:32.0404359Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0404551Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 2'],
2022-11-23T01:32:32.0404673Z                 'obj_weakref': None
2022-11-23T01:32:32.0404898Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0404971Z             }
2022-11-23T01:32:32.0405033Z             
2022-11-23T01:32:32.0405108Z  - 
2022-11-23T01:32:32.0405235Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0405306Z             {
2022-11-23T01:32:32.0405452Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0405563Z                 'code': None,
2022-11-23T01:32:32.0405779Z                 'obj_weakref': <weakref at 0x7f1ffad30ae0; to 'Tensor' at 0x7f1ffad7e700>
2022-11-23T01:32:32.0406021Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0406091Z             }
2022-11-23T01:32:32.0406157Z             
2022-11-23T01:32:32.0406232Z  - 
2022-11-23T01:32:32.0406359Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0406428Z             {
2022-11-23T01:32:32.0406573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0406709Z                 'code': None,
2022-11-23T01:32:32.0406923Z                 'obj_weakref': <weakref at 0x7f1fd81a0400; to 'Tensor' at 0x7f1feaceccc0>
2022-11-23T01:32:32.0407191Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0407261Z             }
2022-11-23T01:32:32.0407330Z             
2022-11-23T01:32:32.0407406Z  - 
2022-11-23T01:32:32.0407542Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0407605Z             {
2022-11-23T01:32:32.0407744Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0407918Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0408041Z                 'obj_weakref': None
2022-11-23T01:32:32.0408270Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0408341Z             }
2022-11-23T01:32:32.0408409Z             
2022-11-23T01:32:32.0408478Z  - 
2022-11-23T01:32:32.0408607Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0408680Z             {
2022-11-23T01:32:32.0408819Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0409042Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0409164Z                 'obj_weakref': None
2022-11-23T01:32:32.0409387Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0409450Z             }
2022-11-23T01:32:32.0409519Z             
2022-11-23T01:32:32.0409594Z  - 
2022-11-23T01:32:32.0409730Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0409798Z             {
2022-11-23T01:32:32.0409921Z                 'guard_types': None,
2022-11-23T01:32:32.0410034Z                 'code': None,
2022-11-23T01:32:32.0410150Z                 'obj_weakref': None
2022-11-23T01:32:32.0410278Z                 'guarded_class': None
2022-11-23T01:32:32.0410347Z             }
2022-11-23T01:32:32.0410418Z             
2022-11-23T01:32:32.0410679Z [2022-11-23 01:30:14,213] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 674
2022-11-23T01:32:32.0410931Z [2022-11-23 01:30:14,219] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0411175Z [2022-11-23 01:30:14,220] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0411533Z [2022-11-23 01:30:14,226] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cezu6d2ibvhwdhkyhokeakaj57a2wnhdmkvameryr6x7ijaplmz4.py
2022-11-23T01:32:32.0411802Z [2022-11-23 01:30:14,226] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 674
2022-11-23T01:32:32.0411808Z 
2022-11-23T01:32:32.0411908Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0411983Z import torch
2022-11-23T01:32:32.0412060Z import random
2022-11-23T01:32:32.0412206Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0412351Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0412361Z 
2022-11-23T01:32:32.0412453Z aten = torch.ops.aten
2022-11-23T01:32:32.0412585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0412688Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0412693Z 
2022-11-23T01:32:32.0412770Z import triton
2022-11-23T01:32:32.0412863Z import triton.language as tl
2022-11-23T01:32:32.0412991Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0413135Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0413141Z 
2022-11-23T01:32:32.0413146Z 
2022-11-23T01:32:32.0413321Z triton_fused_scatter_reduce0 = async_compile.triton('''
2022-11-23T01:32:32.0413398Z import triton
2022-11-23T01:32:32.0413484Z import triton.language as tl
2022-11-23T01:32:32.0413600Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0413703Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0413869Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0414017Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0414022Z 
2022-11-23T01:32:32.0414393Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0414468Z @triton.jit
2022-11-23T01:32:32.0414604Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0414675Z     xnumel = 1885
2022-11-23T01:32:32.0414771Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0414904Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0414987Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0415060Z     x0 = xindex
2022-11-23T01:32:32.0415159Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0415297Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0415378Z ''')
2022-11-23T01:32:32.0415386Z 
2022-11-23T01:32:32.0415398Z 
2022-11-23T01:32:32.0415564Z triton_fused_scatter_reduce1 = async_compile.triton('''
2022-11-23T01:32:32.0415639Z import triton
2022-11-23T01:32:32.0415733Z import triton.language as tl
2022-11-23T01:32:32.0415848Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0415950Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0416087Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0416213Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0416218Z 
2022-11-23T01:32:32.0416591Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0416666Z @triton.jit
2022-11-23T01:32:32.0416810Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0416887Z     xnumel = 4
2022-11-23T01:32:32.0416987Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0417118Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0417202Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0417278Z     x0 = xindex
2022-11-23T01:32:32.0417369Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0417468Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.0417618Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0417705Z ''')
2022-11-23T01:32:32.0417710Z 
2022-11-23T01:32:32.0417715Z 
2022-11-23T01:32:32.0417810Z async_compile.wait(globals())
2022-11-23T01:32:32.0417888Z del async_compile
2022-11-23T01:32:32.0417894Z 
2022-11-23T01:32:32.0417969Z def call(args):
2022-11-23T01:32:32.0418050Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0418127Z     args.clear()
2022-11-23T01:32:32.0418342Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0418437Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0418588Z     triton_fused_scatter_reduce0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0418663Z     del arg0_1
2022-11-23T01:32:32.0419055Z     triton_fused_scatter_reduce1.run(arg1_1, arg2_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0419131Z     del arg1_1
2022-11-23T01:32:32.0419195Z     del arg2_1
2022-11-23T01:32:32.0419271Z     return (buf0, )
2022-11-23T01:32:32.0419277Z 
2022-11-23T01:32:32.0419281Z 
2022-11-23T01:32:32.0419362Z if __name__ == "__main__":
2022-11-23T01:32:32.0419481Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0419610Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0419829Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0420087Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0420290Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0420445Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0420450Z 
2022-11-23T01:32:32.0420455Z 
2022-11-23T01:32:32.0420556Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0420628Z import torch
2022-11-23T01:32:32.0420702Z import random
2022-11-23T01:32:32.0420821Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0420946Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0420951Z 
2022-11-23T01:32:32.0421035Z aten = torch.ops.aten
2022-11-23T01:32:32.0421166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0421263Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0421268Z 
2022-11-23T01:32:32.0421341Z import triton
2022-11-23T01:32:32.0421434Z import triton.language as tl
2022-11-23T01:32:32.0421563Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0421704Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0421712Z 
2022-11-23T01:32:32.0421717Z 
2022-11-23T01:32:32.0421888Z triton_fused_scatter_reduce0 = async_compile.triton('''
2022-11-23T01:32:32.0421965Z import triton
2022-11-23T01:32:32.0422050Z import triton.language as tl
2022-11-23T01:32:32.0422165Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0422268Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0422403Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0422529Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0422534Z 
2022-11-23T01:32:32.0422901Z @pointwise(size_hints=[2048], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0422975Z @triton.jit
2022-11-23T01:32:32.0423111Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0423182Z     xnumel = 1885
2022-11-23T01:32:32.0423284Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0423416Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0423499Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0423568Z     x0 = xindex
2022-11-23T01:32:32.0423688Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0423822Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0423902Z ''')
2022-11-23T01:32:32.0423907Z 
2022-11-23T01:32:32.0423918Z 
2022-11-23T01:32:32.0424082Z triton_fused_scatter_reduce1 = async_compile.triton('''
2022-11-23T01:32:32.0424155Z import triton
2022-11-23T01:32:32.0424248Z import triton.language as tl
2022-11-23T01:32:32.0424366Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0424470Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0424606Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0424735Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0424740Z 
2022-11-23T01:32:32.0425107Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0425180Z @triton.jit
2022-11-23T01:32:32.0425321Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0425394Z     xnumel = 4
2022-11-23T01:32:32.0425493Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0425625Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0425713Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0425783Z     x0 = xindex
2022-11-23T01:32:32.0425874Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0425992Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0426178Z     tl.atomic_add(out_ptr0 + (tmp0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0426283Z ''')
2022-11-23T01:32:32.0426289Z 
2022-11-23T01:32:32.0426293Z 
2022-11-23T01:32:32.0426385Z async_compile.wait(globals())
2022-11-23T01:32:32.0426464Z del async_compile
2022-11-23T01:32:32.0426469Z 
2022-11-23T01:32:32.0426545Z def call(args):
2022-11-23T01:32:32.0426624Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0426700Z     args.clear()
2022-11-23T01:32:32.0426911Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0427002Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0427152Z     triton_fused_scatter_reduce0.run(arg0_1, buf0, 1885, grid=grid(1885), stream=stream0)
2022-11-23T01:32:32.0427228Z     del arg0_1
2022-11-23T01:32:32.0427382Z     triton_fused_scatter_reduce1.run(arg1_1, arg2_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0427453Z     del arg1_1
2022-11-23T01:32:32.0427519Z     del arg2_1
2022-11-23T01:32:32.0427598Z     return (buf0, )
2022-11-23T01:32:32.0427605Z 
2022-11-23T01:32:32.0427610Z 
2022-11-23T01:32:32.0427689Z if __name__ == "__main__":
2022-11-23T01:32:32.0427807Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0427934Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0428146Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0428347Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0428547Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0428675Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0428680Z 
2022-11-23T01:32:32.0428756Z ok (0.072s)
2022-11-23T01:32:32.0429073Z   test_scatter_reduce2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0429389Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0429612Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0429866Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0430144Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0430560Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0430898Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0431213Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0431583Z [2022-11-23 01:30:14,231] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785> 
2022-11-23T01:32:32.0431684Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0431799Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T01:32:32.0431899Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0431997Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0432096Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0432192Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0432331Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:32.0432429Z               14 LOAD_CONST               2 (False)
2022-11-23T01:32:32.0432620Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T01:32:32.0432741Z               18 CALL_FUNCTION_KW         6
2022-11-23T01:32:32.0432822Z               20 RETURN_VALUE
2022-11-23T01:32:32.0432887Z  
2022-11-23T01:32:32.0432893Z 
2022-11-23T01:32:32.0433208Z [2022-11-23 01:30:14,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786
2022-11-23T01:32:32.0433425Z [2022-11-23 01:30:14,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0433734Z [2022-11-23 01:30:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0433999Z [2022-11-23 01:30:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:32.0434295Z [2022-11-23 01:30:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:32.0434625Z [2022-11-23 01:30:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0434971Z [2022-11-23 01:30:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0435353Z [2022-11-23 01:30:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0435775Z [2022-11-23 01:30:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.0436249Z [2022-11-23 01:30:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T01:32:32.0436748Z [2022-11-23 01:30:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.0436997Z [2022-11-23 01:30:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0437366Z [2022-11-23 01:30:14,239] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785>
2022-11-23T01:32:32.0437611Z [2022-11-23 01:30:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0437847Z [2022-11-23 01:30:14,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0438095Z [2022-11-23 01:30:14,240] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0438344Z [2022-11-23 01:30:14,242] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0438535Z [2022-11-23 01:30:14,242] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0438676Z  __compiled_fn_692 <eval_with_key>.4275 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0438768Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0438861Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0438952Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0439198Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T01:32:32.0439308Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:32.0439340Z 
2022-11-23T01:32:32.0439665Z [2022-11-23 01:30:14,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0439795Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0439893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0439986Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0440085Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0440179Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0440271Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0440346Z              12 RETURN_VALUE
2022-11-23T01:32:32.0440351Z 
2022-11-23T01:32:32.0440415Z  
2022-11-23T01:32:32.0440733Z [2022-11-23 01:30:14,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0440851Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_692)
2022-11-23T01:32:32.0440949Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0441046Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0441129Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0441222Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0441309Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0441391Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0441484Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0441577Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0441657Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0441749Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0441844Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0441918Z              24 RETURN_VALUE
2022-11-23T01:32:32.0441923Z 
2022-11-23T01:32:32.0441986Z  
2022-11-23T01:32:32.0442178Z [2022-11-23 01:30:14,244] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0442258Z  - 
2022-11-23T01:32:32.0442410Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0442485Z             {
2022-11-23T01:32:32.0442649Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0442831Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0442953Z                 'obj_weakref': None
2022-11-23T01:32:32.0443178Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0443249Z             }
2022-11-23T01:32:32.0443316Z             
2022-11-23T01:32:32.0443393Z  - 
2022-11-23T01:32:32.0443520Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0443582Z             {
2022-11-23T01:32:32.0443728Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0443838Z                 'code': None,
2022-11-23T01:32:32.0444050Z                 'obj_weakref': <weakref at 0x7f1ffad8f920; to 'Tensor' at 0x7f1ff815aac0>
2022-11-23T01:32:32.0444301Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0444370Z             }
2022-11-23T01:32:32.0444437Z             
2022-11-23T01:32:32.0444505Z  - 
2022-11-23T01:32:32.0444639Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0444707Z             {
2022-11-23T01:32:32.0444851Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0445041Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:32.0445162Z                 'obj_weakref': None
2022-11-23T01:32:32.0445384Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0445445Z             }
2022-11-23T01:32:32.0445512Z             
2022-11-23T01:32:32.0445588Z  - 
2022-11-23T01:32:32.0445716Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0445785Z             {
2022-11-23T01:32:32.0445963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0446074Z                 'code': None,
2022-11-23T01:32:32.0446296Z                 'obj_weakref': <weakref at 0x7f1ffad7e700; to 'Tensor' at 0x7f2151eee8e0>
2022-11-23T01:32:32.0446544Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0446612Z             }
2022-11-23T01:32:32.0446680Z             
2022-11-23T01:32:32.0446755Z  - 
2022-11-23T01:32:32.0446879Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0446948Z             {
2022-11-23T01:32:32.0447086Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0447197Z                 'code': None,
2022-11-23T01:32:32.0447410Z                 'obj_weakref': <weakref at 0x7f1ffad2ca90; to 'Tensor' at 0x7f1feacee5c0>
2022-11-23T01:32:32.0447660Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0447729Z             }
2022-11-23T01:32:32.0447797Z             
2022-11-23T01:32:32.0447876Z  - 
2022-11-23T01:32:32.0448003Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0448070Z             {
2022-11-23T01:32:32.0448209Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0448382Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0448507Z                 'obj_weakref': None
2022-11-23T01:32:32.0448740Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0448810Z             }
2022-11-23T01:32:32.0448870Z             
2022-11-23T01:32:32.0448949Z  - 
2022-11-23T01:32:32.0449074Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0449143Z             {
2022-11-23T01:32:32.0449284Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0449501Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0449627Z                 'obj_weakref': None
2022-11-23T01:32:32.0449843Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0449914Z             }
2022-11-23T01:32:32.0449981Z             
2022-11-23T01:32:32.0450056Z  - 
2022-11-23T01:32:32.0450192Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0450259Z             {
2022-11-23T01:32:32.0450384Z                 'guard_types': None,
2022-11-23T01:32:32.0450488Z                 'code': None,
2022-11-23T01:32:32.0450610Z                 'obj_weakref': None
2022-11-23T01:32:32.0450735Z                 'guarded_class': None
2022-11-23T01:32:32.0450804Z             }
2022-11-23T01:32:32.0450870Z             
2022-11-23T01:32:32.0451135Z [2022-11-23 01:30:14,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 675
2022-11-23T01:32:32.0451381Z [2022-11-23 01:30:14,255] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0451621Z [2022-11-23 01:30:14,257] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0451865Z [2022-11-23 01:30:14,259] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.0452225Z [2022-11-23 01:30:14,325] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ns/cnswj4ac5qewu42iu2xumkk63gubltzzizpd7qsgm7ivbghwym2w.py
2022-11-23T01:32:32.0452500Z [2022-11-23 01:30:14,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 675
2022-11-23T01:32:32.0452777Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0453088Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0453307Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0453592Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0453887Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0454196Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0454534Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0454852Z [2022-11-23 01:30:14,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0455218Z [2022-11-23 01:30:14,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785> 
2022-11-23T01:32:32.0455320Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0455435Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T01:32:32.0455532Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0455630Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.0455729Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:32.0455817Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:32.0455964Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:32.0456060Z               14 LOAD_CONST               2 (False)
2022-11-23T01:32:32.0456224Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T01:32:32.0456321Z               18 CALL_FUNCTION_KW         6
2022-11-23T01:32:32.0456404Z               20 RETURN_VALUE
2022-11-23T01:32:32.0456472Z  
2022-11-23T01:32:32.0456477Z 
2022-11-23T01:32:32.0456791Z [2022-11-23 01:30:14,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786
2022-11-23T01:32:32.0457005Z [2022-11-23 01:30:14,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0457322Z [2022-11-23 01:30:14,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0457588Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:32.0457883Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:32.0458211Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0458561Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.0459066Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0459488Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.0459957Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T01:32:32.0460522Z [2022-11-23 01:30:14,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.0460794Z [2022-11-23 01:30:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0461161Z [2022-11-23 01:30:14,337] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785>
2022-11-23T01:32:32.0461406Z [2022-11-23 01:30:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0461631Z [2022-11-23 01:30:14,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0461884Z [2022-11-23 01:30:14,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0462135Z [2022-11-23 01:30:14,340] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0462329Z [2022-11-23 01:30:14,340] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0462469Z  __compiled_fn_693 <eval_with_key>.4281 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0462564Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0462656Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0462747Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.0462985Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T01:32:32.0463101Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:32.0463106Z 
2022-11-23T01:32:32.0463427Z [2022-11-23 01:30:14,341] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0463530Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0463631Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0463726Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0463826Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0463919Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0464006Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0464088Z              12 RETURN_VALUE
2022-11-23T01:32:32.0464093Z 
2022-11-23T01:32:32.0464156Z  
2022-11-23T01:32:32.0464477Z [2022-11-23 01:30:14,341] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0464595Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_693)
2022-11-23T01:32:32.0464691Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0464788Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0464863Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0464958Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0465054Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.0465138Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0465230Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0465323Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:32.0465406Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0465498Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0465586Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0465666Z              24 RETURN_VALUE
2022-11-23T01:32:32.0465672Z 
2022-11-23T01:32:32.0465736Z  
2022-11-23T01:32:32.0465924Z [2022-11-23 01:30:14,342] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0466000Z  - 
2022-11-23T01:32:32.0466123Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0466191Z             {
2022-11-23T01:32:32.0466328Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0466522Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.0466675Z                 'obj_weakref': None
2022-11-23T01:32:32.0466920Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0466988Z             }
2022-11-23T01:32:32.0467055Z             
2022-11-23T01:32:32.0467131Z  - 
2022-11-23T01:32:32.0467252Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0467319Z             {
2022-11-23T01:32:32.0467466Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0467575Z                 'code': None,
2022-11-23T01:32:32.0467783Z                 'obj_weakref': <weakref at 0x7f20233caa70; to 'Tensor' at 0x7f201e34dd00>
2022-11-23T01:32:32.0468032Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0468100Z             }
2022-11-23T01:32:32.0468162Z             
2022-11-23T01:32:32.0468238Z  - 
2022-11-23T01:32:32.0468371Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:32.0468443Z             {
2022-11-23T01:32:32.0468590Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.0468779Z                 'code': ['___check_type_id(ex[1], 94768292480384)', 'ex[1] == 0'],
2022-11-23T01:32:32.0468902Z                 'obj_weakref': None
2022-11-23T01:32:32.0469116Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.0469189Z             }
2022-11-23T01:32:32.0469258Z             
2022-11-23T01:32:32.0469332Z  - 
2022-11-23T01:32:32.0469461Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0469528Z             {
2022-11-23T01:32:32.0469675Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0469780Z                 'code': None,
2022-11-23T01:32:32.0469993Z                 'obj_weakref': <weakref at 0x7f1ffad7e700; to 'Tensor' at 0x7f2151eee8e0>
2022-11-23T01:32:32.0470241Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0470390Z             }
2022-11-23T01:32:32.0470476Z             
2022-11-23T01:32:32.0470567Z  - 
2022-11-23T01:32:32.0470712Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.0470774Z             {
2022-11-23T01:32:32.0470920Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0471032Z                 'code': None,
2022-11-23T01:32:32.0471242Z                 'obj_weakref': <weakref at 0x7f20233cbe70; to 'Tensor' at 0x7f1feaceccc0>
2022-11-23T01:32:32.0471487Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0471556Z             }
2022-11-23T01:32:32.0471623Z             
2022-11-23T01:32:32.0471692Z  - 
2022-11-23T01:32:32.0471825Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0471892Z             {
2022-11-23T01:32:32.0472034Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0472214Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0472338Z                 'obj_weakref': None
2022-11-23T01:32:32.0472568Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0472629Z             }
2022-11-23T01:32:32.0472695Z             
2022-11-23T01:32:32.0472770Z  - 
2022-11-23T01:32:32.0472896Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0472963Z             {
2022-11-23T01:32:32.0473101Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0473319Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0473436Z                 'obj_weakref': None
2022-11-23T01:32:32.0473660Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0473728Z             }
2022-11-23T01:32:32.0473796Z             
2022-11-23T01:32:32.0473874Z  - 
2022-11-23T01:32:32.0474038Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0474109Z             {
2022-11-23T01:32:32.0474248Z                 'guard_types': None,
2022-11-23T01:32:32.0474357Z                 'code': None,
2022-11-23T01:32:32.0474482Z                 'obj_weakref': None
2022-11-23T01:32:32.0474607Z                 'guarded_class': None
2022-11-23T01:32:32.0474675Z             }
2022-11-23T01:32:32.0474744Z             
2022-11-23T01:32:32.0475001Z [2022-11-23 01:30:14,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 676
2022-11-23T01:32:32.0475247Z [2022-11-23 01:30:14,355] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0475489Z [2022-11-23 01:30:14,356] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0475730Z [2022-11-23 01:30:14,358] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.0475736Z 
2022-11-23T01:32:32.0475836Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0475912Z import torch
2022-11-23T01:32:32.0475992Z import random
2022-11-23T01:32:32.0476112Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0476231Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0476242Z 
2022-11-23T01:32:32.0476319Z aten = torch.ops.aten
2022-11-23T01:32:32.0476459Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0476557Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0476562Z 
2022-11-23T01:32:32.0476633Z import triton
2022-11-23T01:32:32.0476725Z import triton.language as tl
2022-11-23T01:32:32.0476852Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0476995Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0477000Z 
2022-11-23T01:32:32.0477005Z 
2022-11-23T01:32:32.0477178Z triton_fused_scatter_reduce0 = async_compile.triton('''
2022-11-23T01:32:32.0477246Z import triton
2022-11-23T01:32:32.0477341Z import triton.language as tl
2022-11-23T01:32:32.0477456Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0477561Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0477699Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0477827Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0477832Z 
2022-11-23T01:32:32.0478202Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0478270Z @triton.jit
2022-11-23T01:32:32.0478405Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0478478Z     xnumel = 6
2022-11-23T01:32:32.0478576Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0478708Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0478792Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0478868Z     x0 = xindex
2022-11-23T01:32:32.0478958Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0479096Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0479181Z ''')
2022-11-23T01:32:32.0479187Z 
2022-11-23T01:32:32.0479191Z 
2022-11-23T01:32:32.0479367Z triton_fused_scatter_reduce1 = async_compile.triton('''
2022-11-23T01:32:32.0479442Z import triton
2022-11-23T01:32:32.0479535Z import triton.language as tl
2022-11-23T01:32:32.0479649Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0479750Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0479876Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0480002Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0480007Z 
2022-11-23T01:32:32.0480397Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0480472Z @triton.jit
2022-11-23T01:32:32.0480623Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0480694Z     xnumel = 6
2022-11-23T01:32:32.0480793Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0480924Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0481001Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0481072Z     x2 = xindex
2022-11-23T01:32:32.0481148Z     x0 = xindex % 3
2022-11-23T01:32:32.0481246Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0481317Z     tmp1 = 0
2022-11-23T01:32:32.0481462Z     tl.store(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0481551Z ''')
2022-11-23T01:32:32.0481556Z 
2022-11-23T01:32:32.0481561Z 
2022-11-23T01:32:32.0481724Z triton_fused_scatter_reduce2 = async_compile.triton('''
2022-11-23T01:32:32.0481799Z import triton
2022-11-23T01:32:32.0481893Z import triton.language as tl
2022-11-23T01:32:32.0482010Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0482115Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0482272Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0482413Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0482420Z 
2022-11-23T01:32:32.0482804Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0482870Z @triton.jit
2022-11-23T01:32:32.0483014Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0483086Z     xnumel = 6
2022-11-23T01:32:32.0483183Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0483311Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0483394Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0483468Z     x2 = xindex
2022-11-23T01:32:32.0483534Z     x0 = xindex % 3
2022-11-23T01:32:32.0483635Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0483731Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:32.0483882Z     tl.atomic_add(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0483968Z ''')
2022-11-23T01:32:32.0483973Z 
2022-11-23T01:32:32.0483978Z 
2022-11-23T01:32:32.0484071Z async_compile.wait(globals())
2022-11-23T01:32:32.0484149Z del async_compile
2022-11-23T01:32:32.0484154Z 
2022-11-23T01:32:32.0484233Z def call(args):
2022-11-23T01:32:32.0484314Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0484389Z     args.clear()
2022-11-23T01:32:32.0484586Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0484677Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0484830Z     triton_fused_scatter_reduce0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0484905Z     del arg0_1
2022-11-23T01:32:32.0485057Z     triton_fused_scatter_reduce1.run(arg1_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0485204Z     triton_fused_scatter_reduce2.run(arg1_1, arg2_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0485277Z     del arg1_1
2022-11-23T01:32:32.0485349Z     del arg2_1
2022-11-23T01:32:32.0485424Z     return (buf0, )
2022-11-23T01:32:32.0485429Z 
2022-11-23T01:32:32.0485433Z 
2022-11-23T01:32:32.0485514Z if __name__ == "__main__":
2022-11-23T01:32:32.0485632Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0485759Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0485958Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0486144Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0486337Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0486497Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0486531Z 
2022-11-23T01:32:32.0486892Z [2022-11-23 01:30:14,421] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vy/cvyzr46bauydgxteofgsg5ve57z6ob2wh6sfwgzabqkl7l4bih7q.py
2022-11-23T01:32:32.0487158Z [2022-11-23 01:30:14,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 676
2022-11-23T01:32:32.0487164Z 
2022-11-23T01:32:32.0487263Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0487339Z import torch
2022-11-23T01:32:32.0487415Z import random
2022-11-23T01:32:32.0487529Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0487653Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0487658Z 
2022-11-23T01:32:32.0487744Z aten = torch.ops.aten
2022-11-23T01:32:32.0487882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0487976Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0487981Z 
2022-11-23T01:32:32.0488059Z import triton
2022-11-23T01:32:32.0488151Z import triton.language as tl
2022-11-23T01:32:32.0488280Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0488416Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0488421Z 
2022-11-23T01:32:32.0488426Z 
2022-11-23T01:32:32.0488597Z triton_fused_scatter_reduce0 = async_compile.triton('''
2022-11-23T01:32:32.0488672Z import triton
2022-11-23T01:32:32.0488765Z import triton.language as tl
2022-11-23T01:32:32.0488880Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0488982Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0489116Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0489235Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0489248Z 
2022-11-23T01:32:32.0489606Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0489683Z @triton.jit
2022-11-23T01:32:32.0489816Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0489888Z     xnumel = 6
2022-11-23T01:32:32.0489987Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0490116Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0490201Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0490267Z     x0 = xindex
2022-11-23T01:32:32.0490388Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0490523Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.0490609Z ''')
2022-11-23T01:32:32.0490614Z 
2022-11-23T01:32:32.0490619Z 
2022-11-23T01:32:32.0490790Z triton_fused_scatter_reduce1 = async_compile.triton('''
2022-11-23T01:32:32.0490864Z import triton
2022-11-23T01:32:32.0490957Z import triton.language as tl
2022-11-23T01:32:32.0491074Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0491169Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0491306Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0491433Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0491438Z 
2022-11-23T01:32:32.0491796Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0491871Z @triton.jit
2022-11-23T01:32:32.0492008Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0492082Z     xnumel = 6
2022-11-23T01:32:32.0492180Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0492303Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0492394Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0492480Z     x2 = xindex
2022-11-23T01:32:32.0492556Z     x0 = xindex % 3
2022-11-23T01:32:32.0492702Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0492794Z     tmp1 = 0
2022-11-23T01:32:32.0492938Z     tl.store(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0493019Z ''')
2022-11-23T01:32:32.0493024Z 
2022-11-23T01:32:32.0493028Z 
2022-11-23T01:32:32.0493199Z triton_fused_scatter_reduce2 = async_compile.triton('''
2022-11-23T01:32:32.0493275Z import triton
2022-11-23T01:32:32.0493365Z import triton.language as tl
2022-11-23T01:32:32.0493479Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0493580Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0493711Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0493829Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0493834Z 
2022-11-23T01:32:32.0494208Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0494284Z @triton.jit
2022-11-23T01:32:32.0494424Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0494497Z     xnumel = 6
2022-11-23T01:32:32.0494592Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0494724Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0494807Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0494871Z     x2 = xindex
2022-11-23T01:32:32.0494945Z     x0 = xindex % 3
2022-11-23T01:32:32.0495042Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.0495158Z     tmp1 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:32.0495308Z     tl.atomic_add(out_ptr0 + (x0 + (3*tmp0) + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0495397Z ''')
2022-11-23T01:32:32.0495403Z 
2022-11-23T01:32:32.0495407Z 
2022-11-23T01:32:32.0495500Z async_compile.wait(globals())
2022-11-23T01:32:32.0495582Z del async_compile
2022-11-23T01:32:32.0495587Z 
2022-11-23T01:32:32.0495658Z def call(args):
2022-11-23T01:32:32.0495746Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0495823Z     args.clear()
2022-11-23T01:32:32.0496019Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0496109Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0496260Z     triton_fused_scatter_reduce0.run(arg0_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0496332Z     del arg0_1
2022-11-23T01:32:32.0496473Z     triton_fused_scatter_reduce1.run(arg1_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0496624Z     triton_fused_scatter_reduce2.run(arg1_1, arg2_1, buf0, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.0496696Z     del arg1_1
2022-11-23T01:32:32.0496772Z     del arg2_1
2022-11-23T01:32:32.0496847Z     return (buf0, )
2022-11-23T01:32:32.0496852Z 
2022-11-23T01:32:32.0496857Z 
2022-11-23T01:32:32.0496938Z if __name__ == "__main__":
2022-11-23T01:32:32.0497057Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0497180Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0497377Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0497567Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0497762Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0497890Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0497895Z 
2022-11-23T01:32:32.0497964Z ok (0.195s)
2022-11-23T01:32:32.0498280Z   test_select_scatter_cuda (__main__.CudaTests) ... [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0498598Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0498976Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0499254Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0499532Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0499847Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0500187Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0500506Z [2022-11-23 01:30:14,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0500874Z [2022-11-23 01:30:14,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626> 
2022-11-23T01:32:32.0500978Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0501092Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:32.0501191Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0501287Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:32.0501375Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0501471Z               10 LOAD_CONST               2 (0)
2022-11-23T01:32:32.0501566Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0501571Z 
2022-11-23T01:32:32.0501671Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0501779Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:32.0501873Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0501968Z               20 LOAD_FAST                2 (b)
2022-11-23T01:32:32.0502057Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:32.0502151Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0502241Z               26 CALL_METHOD              4
2022-11-23T01:32:32.0502246Z 
2022-11-23T01:32:32.0502340Z 3627          28 BUILD_TUPLE              2
2022-11-23T01:32:32.0502424Z               30 RETURN_VALUE
2022-11-23T01:32:32.0502490Z  
2022-11-23T01:32:32.0502495Z 
2022-11-23T01:32:32.0502808Z [2022-11-23 01:30:14,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628
2022-11-23T01:32:32.0503024Z [2022-11-23 01:30:14,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0503331Z [2022-11-23 01:30:14,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0503595Z [2022-11-23 01:30:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:32.0503890Z [2022-11-23 01:30:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:32.0504205Z [2022-11-23 01:30:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0504554Z [2022-11-23 01:30:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0504944Z [2022-11-23 01:30:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0505303Z [2022-11-23 01:30:14,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629
2022-11-23T01:32:32.0505565Z [2022-11-23 01:30:14,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.0505907Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0506193Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T01:32:32.0506506Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:32.0506848Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0507221Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0507644Z [2022-11-23 01:30:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0507953Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627
2022-11-23T01:32:32.0508220Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0508468Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0508838Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626>
2022-11-23T01:32:32.0509083Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0509316Z [2022-11-23 01:30:14,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0509567Z [2022-11-23 01:30:14,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0509818Z [2022-11-23 01:30:14,444] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0510007Z [2022-11-23 01:30:14,444] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0510143Z  __compiled_fn_694 <eval_with_key>.4287 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0510237Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0510408Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0510516Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0510689Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T01:32:32.0510844Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T01:32:32.0510984Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T01:32:32.0510990Z 
2022-11-23T01:32:32.0511314Z [2022-11-23 01:30:14,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0511406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0511504Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0511598Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0511696Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0511787Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0511879Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0511989Z              12 RETURN_VALUE
2022-11-23T01:32:32.0511995Z 
2022-11-23T01:32:32.0512076Z  
2022-11-23T01:32:32.0512394Z [2022-11-23 01:30:14,445] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0512512Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_694)
2022-11-23T01:32:32.0512609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0512705Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0512786Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0512879Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0512973Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0513047Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0513142Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0513235Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.0513315Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0513410Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0513525Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0513634Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0513722Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0513805Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.0513913Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0514008Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0514090Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.0514179Z              36 BUILD_TUPLE              2
2022-11-23T01:32:32.0514260Z              38 RETURN_VALUE
2022-11-23T01:32:32.0514265Z 
2022-11-23T01:32:32.0514323Z  
2022-11-23T01:32:32.0514511Z [2022-11-23 01:30:14,446] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0514585Z  - 
2022-11-23T01:32:32.0514707Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0514780Z             {
2022-11-23T01:32:32.0514925Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0515120Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.0515236Z                 'obj_weakref': None
2022-11-23T01:32:32.0515457Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0515526Z             }
2022-11-23T01:32:32.0515592Z             
2022-11-23T01:32:32.0515669Z  - 
2022-11-23T01:32:32.0515797Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0515864Z             {
2022-11-23T01:32:32.0516002Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0516113Z                 'code': None,
2022-11-23T01:32:32.0516326Z                 'obj_weakref': <weakref at 0x7f1feaced260; to 'Tensor' at 0x7f20233cb8d0>
2022-11-23T01:32:32.0516575Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0516646Z             }
2022-11-23T01:32:32.0516713Z             
2022-11-23T01:32:32.0516792Z  - 
2022-11-23T01:32:32.0516910Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0516978Z             {
2022-11-23T01:32:32.0517123Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0517233Z                 'code': None,
2022-11-23T01:32:32.0517440Z                 'obj_weakref': <weakref at 0x7f1ffad5ce00; to 'Tensor' at 0x7f20233cb290>
2022-11-23T01:32:32.0517686Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0517755Z             }
2022-11-23T01:32:32.0517817Z             
2022-11-23T01:32:32.0517893Z  - 
2022-11-23T01:32:32.0518019Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0518088Z             {
2022-11-23T01:32:32.0518233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0518343Z                 'code': None,
2022-11-23T01:32:32.0518582Z                 'obj_weakref': <weakref at 0x7f1fd81a11c0; to 'Tensor' at 0x7f20233c9cb0>
2022-11-23T01:32:32.0518841Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0518911Z             }
2022-11-23T01:32:32.0518978Z             
2022-11-23T01:32:32.0519052Z  - 
2022-11-23T01:32:32.0519190Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0519258Z             {
2022-11-23T01:32:32.0519398Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0519564Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0519686Z                 'obj_weakref': None
2022-11-23T01:32:32.0519918Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0519987Z             }
2022-11-23T01:32:32.0520054Z             
2022-11-23T01:32:32.0520130Z  - 
2022-11-23T01:32:32.0520254Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0520316Z             {
2022-11-23T01:32:32.0520458Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0520676Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0520801Z                 'obj_weakref': None
2022-11-23T01:32:32.0521023Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0521094Z             }
2022-11-23T01:32:32.0521162Z             
2022-11-23T01:32:32.0521230Z  - 
2022-11-23T01:32:32.0521365Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0521433Z             {
2022-11-23T01:32:32.0521557Z                 'guard_types': None,
2022-11-23T01:32:32.0521668Z                 'code': None,
2022-11-23T01:32:32.0521793Z                 'obj_weakref': None
2022-11-23T01:32:32.0521916Z                 'guarded_class': None
2022-11-23T01:32:32.0521977Z             }
2022-11-23T01:32:32.0522055Z             
2022-11-23T01:32:32.0522356Z [2022-11-23 01:30:14,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 677
2022-11-23T01:32:32.0522651Z [2022-11-23 01:30:14,468] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0523008Z [2022-11-23 01:30:14,551] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ye/cyefrfh67rnppm5lz24e7ynpw6mdqyi4phrldvikoztdvu7qkqhj.py
2022-11-23T01:32:32.0523270Z [2022-11-23 01:30:14,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 677
2022-11-23T01:32:32.0523505Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0523816Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0524028Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0524281Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0524558Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0524872Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0525211Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0525529Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0525921Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626> 
2022-11-23T01:32:32.0526043Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0526161Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:32.0526260Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0526349Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:32.0526443Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0526539Z               10 LOAD_CONST               2 (0)
2022-11-23T01:32:32.0526634Z               12 CALL_METHOD              4
2022-11-23T01:32:32.0526640Z 
2022-11-23T01:32:32.0526738Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0526847Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:32.0526942Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0527036Z               20 LOAD_FAST                2 (b)
2022-11-23T01:32:32.0527122Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:32.0527222Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0527317Z               26 CALL_METHOD              4
2022-11-23T01:32:32.0527323Z 
2022-11-23T01:32:32.0527416Z 3627          28 BUILD_TUPLE              2
2022-11-23T01:32:32.0527496Z               30 RETURN_VALUE
2022-11-23T01:32:32.0527561Z  
2022-11-23T01:32:32.0527566Z 
2022-11-23T01:32:32.0527881Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628
2022-11-23T01:32:32.0528098Z [2022-11-23 01:30:14,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0528404Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0528667Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:32.0528961Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:32.0529281Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0529631Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0530023Z [2022-11-23 01:30:14,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0530331Z [2022-11-23 01:30:14,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629
2022-11-23T01:32:32.0530579Z [2022-11-23 01:30:14,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.0530925Z [2022-11-23 01:30:14,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0531212Z [2022-11-23 01:30:14,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T01:32:32.0531524Z [2022-11-23 01:30:14,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:32.0531858Z [2022-11-23 01:30:14,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0532259Z [2022-11-23 01:30:14,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0532754Z [2022-11-23 01:30:14,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0533062Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627
2022-11-23T01:32:32.0533328Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0533572Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0533940Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626>
2022-11-23T01:32:32.0534186Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0534420Z [2022-11-23 01:30:14,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0534671Z [2022-11-23 01:30:14,571] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0534923Z [2022-11-23 01:30:14,574] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0535106Z [2022-11-23 01:30:14,574] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0535250Z  __compiled_fn_695 <eval_with_key>.4293 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0535343Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0535436Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0535525Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.0535672Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T01:32:32.0535819Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T01:32:32.0535950Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T01:32:32.0535963Z 
2022-11-23T01:32:32.0536279Z [2022-11-23 01:30:14,575] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0536380Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0536477Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0536569Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0536669Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0536760Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0536854Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0536929Z              12 RETURN_VALUE
2022-11-23T01:32:32.0536940Z 
2022-11-23T01:32:32.0536999Z  
2022-11-23T01:32:32.0537315Z [2022-11-23 01:30:14,575] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0537433Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_695)
2022-11-23T01:32:32.0537528Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0537625Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0537706Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0537799Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0537886Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0537967Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0538060Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0538152Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.0538230Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.0538324Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.0538461Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0538564Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0538680Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0538759Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.0538996Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0539091Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0539173Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.0539265Z              36 BUILD_TUPLE              2
2022-11-23T01:32:32.0539338Z              38 RETURN_VALUE
2022-11-23T01:32:32.0539350Z 
2022-11-23T01:32:32.0539408Z  
2022-11-23T01:32:32.0539597Z [2022-11-23 01:30:14,575] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0539674Z  - 
2022-11-23T01:32:32.0539796Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0539865Z             {
2022-11-23T01:32:32.0540009Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0540195Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.0540320Z                 'obj_weakref': None
2022-11-23T01:32:32.0540543Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0540612Z             }
2022-11-23T01:32:32.0540679Z             
2022-11-23T01:32:32.0540753Z  - 
2022-11-23T01:32:32.0540880Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0540942Z             {
2022-11-23T01:32:32.0541087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0541198Z                 'code': None,
2022-11-23T01:32:32.0541414Z                 'obj_weakref': <weakref at 0x7f1ff814f420; to 'Tensor' at 0x7f201e3c3f10>
2022-11-23T01:32:32.0541658Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0541727Z             }
2022-11-23T01:32:32.0541799Z             
2022-11-23T01:32:32.0541866Z  - 
2022-11-23T01:32:32.0541993Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0542064Z             {
2022-11-23T01:32:32.0542209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0542319Z                 'code': None,
2022-11-23T01:32:32.0542529Z                 'obj_weakref': <weakref at 0x7f1ff814d120; to 'Tensor' at 0x7f20233c8270>
2022-11-23T01:32:32.0542777Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0542845Z             }
2022-11-23T01:32:32.0542905Z             
2022-11-23T01:32:32.0542979Z  - 
2022-11-23T01:32:32.0543107Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.0543174Z             {
2022-11-23T01:32:32.0543321Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0543432Z                 'code': None,
2022-11-23T01:32:32.0543634Z                 'obj_weakref': <weakref at 0x7f201e3e6340; to 'Tensor' at 0x7f20233c8b30>
2022-11-23T01:32:32.0543882Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0543952Z             }
2022-11-23T01:32:32.0544018Z             
2022-11-23T01:32:32.0544094Z  - 
2022-11-23T01:32:32.0544228Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0544295Z             {
2022-11-23T01:32:32.0544428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0544602Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0544727Z                 'obj_weakref': None
2022-11-23T01:32:32.0544957Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0545026Z             }
2022-11-23T01:32:32.0545094Z             
2022-11-23T01:32:32.0545168Z  - 
2022-11-23T01:32:32.0545285Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0545351Z             {
2022-11-23T01:32:32.0545489Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0545756Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0545906Z                 'obj_weakref': None
2022-11-23T01:32:32.0546137Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0546207Z             }
2022-11-23T01:32:32.0546274Z             
2022-11-23T01:32:32.0546343Z  - 
2022-11-23T01:32:32.0546476Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0546545Z             {
2022-11-23T01:32:32.0546668Z                 'guard_types': None,
2022-11-23T01:32:32.0546777Z                 'code': None,
2022-11-23T01:32:32.0546900Z                 'obj_weakref': None
2022-11-23T01:32:32.0547018Z                 'guarded_class': None
2022-11-23T01:32:32.0547087Z             }
2022-11-23T01:32:32.0547152Z             
2022-11-23T01:32:32.0547412Z [2022-11-23 01:30:14,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 678
2022-11-23T01:32:32.0547704Z [2022-11-23 01:30:14,591] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0548058Z [2022-11-23 01:30:14,684] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q7/cq7q6ij74gv3s5qka4mdfkdo2ate7ziets5a4qikdnwpyxh6bsq6.py
2022-11-23T01:32:32.0548320Z [2022-11-23 01:30:14,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 678
2022-11-23T01:32:32.0548326Z 
2022-11-23T01:32:32.0548423Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0548491Z import torch
2022-11-23T01:32:32.0548566Z import random
2022-11-23T01:32:32.0548686Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0548811Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0548816Z 
2022-11-23T01:32:32.0548897Z aten = torch.ops.aten
2022-11-23T01:32:32.0549036Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0549134Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0549140Z 
2022-11-23T01:32:32.0549216Z import triton
2022-11-23T01:32:32.0549301Z import triton.language as tl
2022-11-23T01:32:32.0549429Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0549570Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0549576Z 
2022-11-23T01:32:32.0549580Z 
2022-11-23T01:32:32.0549782Z triton_fused_select_scatter_select_scatter_10 = async_compile.triton('''
2022-11-23T01:32:32.0549857Z import triton
2022-11-23T01:32:32.0549950Z import triton.language as tl
2022-11-23T01:32:32.0550066Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0550170Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0550390Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0550522Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0550527Z 
2022-11-23T01:32:32.0550949Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:32.0551026Z @triton.jit
2022-11-23T01:32:32.0551188Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0551265Z     xnumel = 59888
2022-11-23T01:32:32.0551362Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0551496Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0551573Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0551657Z     x1 = (xindex // 38) % 197
2022-11-23T01:32:32.0551732Z     x0 = xindex % 38
2022-11-23T01:32:32.0551812Z     x2 = (xindex // 7486)
2022-11-23T01:32:32.0551883Z     x3 = xindex
2022-11-23T01:32:32.0551960Z     x4 = xindex % 7486
2022-11-23T01:32:32.0552067Z     tmp3 = tl.load(in_ptr0 + (x0 + (38*x2)), xmask)
2022-11-23T01:32:32.0552189Z     tmp4 = tl.load(in_ptr1 + (x3), xmask)
2022-11-23T01:32:32.0552290Z     tmp9 = tl.load(in_ptr2 + (x4), xmask)
2022-11-23T01:32:32.0552383Z     tmp0 = x1
2022-11-23T01:32:32.0552459Z     tmp1 = 0
2022-11-23T01:32:32.0552539Z     tmp2 = tmp0 == tmp1
2022-11-23T01:32:32.0552635Z     tmp5 = tl.where(tmp2, tmp3, tmp4)
2022-11-23T01:32:32.0552699Z     tmp6 = x2
2022-11-23T01:32:32.0552769Z     tmp7 = 1
2022-11-23T01:32:32.0552846Z     tmp8 = tmp6 == tmp7
2022-11-23T01:32:32.0552944Z     tmp10 = tl.where(tmp8, tmp9, tmp4)
2022-11-23T01:32:32.0553079Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.0553216Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.0553305Z ''')
2022-11-23T01:32:32.0553310Z 
2022-11-23T01:32:32.0553315Z 
2022-11-23T01:32:32.0553409Z async_compile.wait(globals())
2022-11-23T01:32:32.0553479Z del async_compile
2022-11-23T01:32:32.0553484Z 
2022-11-23T01:32:32.0553560Z def call(args):
2022-11-23T01:32:32.0553648Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0553725Z     args.clear()
2022-11-23T01:32:32.0553940Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0554150Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0554240Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0554423Z     triton_fused_select_scatter_select_scatter_10.run(arg1_1, arg0_1, arg2_1, buf0, buf1, 59888, grid=grid(59888), stream=stream0)
2022-11-23T01:32:32.0554495Z     del arg0_1
2022-11-23T01:32:32.0554567Z     del arg1_1
2022-11-23T01:32:32.0554637Z     del arg2_1
2022-11-23T01:32:32.0554718Z     return (buf0, buf1, )
2022-11-23T01:32:32.0554723Z 
2022-11-23T01:32:32.0554728Z 
2022-11-23T01:32:32.0554809Z if __name__ == "__main__":
2022-11-23T01:32:32.0554926Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0555055Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0555264Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0555470Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0555669Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0555797Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0555802Z 
2022-11-23T01:32:32.0555807Z 
2022-11-23T01:32:32.0555904Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0555979Z import torch
2022-11-23T01:32:32.0556052Z import random
2022-11-23T01:32:32.0556173Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0556291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0556296Z 
2022-11-23T01:32:32.0556379Z aten = torch.ops.aten
2022-11-23T01:32:32.0556519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0556615Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0556622Z 
2022-11-23T01:32:32.0556698Z import triton
2022-11-23T01:32:32.0556795Z import triton.language as tl
2022-11-23T01:32:32.0556924Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0557060Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0557074Z 
2022-11-23T01:32:32.0557078Z 
2022-11-23T01:32:32.0557274Z triton_fused_select_scatter_1_select_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.0557351Z import triton
2022-11-23T01:32:32.0557444Z import triton.language as tl
2022-11-23T01:32:32.0557559Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0557662Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0557798Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0557927Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0557932Z 
2022-11-23T01:32:32.0558382Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:32.0558488Z @triton.jit
2022-11-23T01:32:32.0558653Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0558731Z     xnumel = 59888
2022-11-23T01:32:32.0558831Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0558963Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0559049Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0559135Z     x1 = (xindex // 38) % 197
2022-11-23T01:32:32.0559205Z     x0 = xindex % 38
2022-11-23T01:32:32.0559287Z     x2 = (xindex // 7486)
2022-11-23T01:32:32.0559360Z     x3 = xindex
2022-11-23T01:32:32.0559439Z     x4 = xindex % 7486
2022-11-23T01:32:32.0559565Z     tmp3 = tl.load(in_ptr0 + (x0 + (38*x2)), xmask).to(tl.float32)
2022-11-23T01:32:32.0559685Z     tmp4 = tl.load(in_ptr1 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:32.0559804Z     tmp9 = tl.load(in_ptr2 + (x4), xmask).to(tl.float32)
2022-11-23T01:32:32.0559873Z     tmp0 = x1
2022-11-23T01:32:32.0559946Z     tmp1 = 0
2022-11-23T01:32:32.0560027Z     tmp2 = tmp0 == tmp1
2022-11-23T01:32:32.0560124Z     tmp5 = tl.where(tmp2, tmp3, tmp4)
2022-11-23T01:32:32.0560197Z     tmp6 = x2
2022-11-23T01:32:32.0560270Z     tmp7 = 1
2022-11-23T01:32:32.0560350Z     tmp8 = tmp6 == tmp7
2022-11-23T01:32:32.0560442Z     tmp10 = tl.where(tmp8, tmp9, tmp4)
2022-11-23T01:32:32.0560579Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.0560717Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.0560808Z ''')
2022-11-23T01:32:32.0560813Z 
2022-11-23T01:32:32.0560818Z 
2022-11-23T01:32:32.0560912Z async_compile.wait(globals())
2022-11-23T01:32:32.0560989Z del async_compile
2022-11-23T01:32:32.0560994Z 
2022-11-23T01:32:32.0561071Z def call(args):
2022-11-23T01:32:32.0561165Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.0561235Z     args.clear()
2022-11-23T01:32:32.0561449Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0561660Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0561754Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0561946Z     triton_fused_select_scatter_1_select_scatter0.run(arg1_1, arg0_1, arg2_1, buf0, buf1, 59888, grid=grid(59888), stream=stream0)
2022-11-23T01:32:32.0562022Z     del arg0_1
2022-11-23T01:32:32.0562093Z     del arg1_1
2022-11-23T01:32:32.0562159Z     del arg2_1
2022-11-23T01:32:32.0562243Z     return (buf0, buf1, )
2022-11-23T01:32:32.0562248Z 
2022-11-23T01:32:32.0562253Z 
2022-11-23T01:32:32.0562335Z if __name__ == "__main__":
2022-11-23T01:32:32.0562457Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0562586Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0562803Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0563002Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0563206Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0563328Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.0563333Z 
2022-11-23T01:32:32.0563411Z ok (0.263s)
2022-11-23T01:32:32.0563712Z   test_sgn_cuda (__main__.CudaTests) ... [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0564030Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0564254Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0564538Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0564835Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0565155Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0565497Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0565815Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0566175Z [2022-11-23 01:30:14,689] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670> 
2022-11-23T01:32:32.0566285Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0566387Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0566486Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0566582Z               6 CALL_METHOD              1
2022-11-23T01:32:32.0566685Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0566780Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0566875Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0566964Z              14 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0567045Z              16 BINARY_ADD
2022-11-23T01:32:32.0567139Z              18 CALL_METHOD              1
2022-11-23T01:32:32.0567235Z              20 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0567319Z              22 BINARY_SUBTRACT
2022-11-23T01:32:32.0567415Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0567498Z              26 RETURN_VALUE
2022-11-23T01:32:32.0567559Z  
2022-11-23T01:32:32.0567567Z 
2022-11-23T01:32:32.0567886Z [2022-11-23 01:30:14,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671
2022-11-23T01:32:32.0568107Z [2022-11-23 01:30:14,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0568467Z [2022-11-23 01:30:14,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0568783Z [2022-11-23 01:30:14,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0569126Z [2022-11-23 01:30:14,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0569378Z [2022-11-23 01:30:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0569771Z [2022-11-23 01:30:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0570111Z [2022-11-23 01:30:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0570477Z [2022-11-23 01:30:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0570880Z [2022-11-23 01:30:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0571271Z [2022-11-23 01:30:14,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0571552Z [2022-11-23 01:30:14,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0571867Z [2022-11-23 01:30:14,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0572134Z [2022-11-23 01:30:14,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0572381Z [2022-11-23 01:30:14,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0572749Z [2022-11-23 01:30:14,694] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670>
2022-11-23T01:32:32.0572996Z [2022-11-23 01:30:14,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0573237Z [2022-11-23 01:30:14,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0573492Z [2022-11-23 01:30:14,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0573744Z [2022-11-23 01:30:14,698] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0573929Z [2022-11-23 01:30:14,699] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0574072Z  __compiled_fn_696 <eval_with_key>.4299 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0574170Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0574393Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0574568Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0574793Z call_function, sgn_1, <built-in method sgn of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0574969Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T01:32:32.0575079Z output, output, output, ((sgn, sub),), {}
2022-11-23T01:32:32.0575084Z 
2022-11-23T01:32:32.0575402Z [2022-11-23 01:30:14,699] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0575503Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0575600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0575696Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0575796Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0575888Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0575985Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0576068Z              12 RETURN_VALUE
2022-11-23T01:32:32.0576074Z 
2022-11-23T01:32:32.0576135Z  
2022-11-23T01:32:32.0576454Z [2022-11-23 01:30:14,699] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0576572Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_696)
2022-11-23T01:32:32.0576669Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0576767Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0576850Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0576943Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0577049Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0577160Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0577257Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0577340Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0577449Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0577575Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0577686Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0577780Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0577856Z              26 RETURN_VALUE
2022-11-23T01:32:32.0577861Z 
2022-11-23T01:32:32.0577927Z  
2022-11-23T01:32:32.0578117Z [2022-11-23 01:30:14,700] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0578194Z  - 
2022-11-23T01:32:32.0578319Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0578390Z             {
2022-11-23T01:32:32.0578537Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0578722Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0579211Z                 'obj_weakref': None
2022-11-23T01:32:32.0579491Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0579562Z             }
2022-11-23T01:32:32.0579709Z             
2022-11-23T01:32:32.0579791Z  - 
2022-11-23T01:32:32.0579920Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0579986Z             {
2022-11-23T01:32:32.0580136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0580248Z                 'code': None,
2022-11-23T01:32:32.0580461Z                 'obj_weakref': <weakref at 0x7f201e3e46d0; to 'Tensor' at 0x7f2151eec9f0>
2022-11-23T01:32:32.0580710Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0580779Z             }
2022-11-23T01:32:32.0580848Z             
2022-11-23T01:32:32.0580916Z  - 
2022-11-23T01:32:32.0581050Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0581118Z             {
2022-11-23T01:32:32.0581259Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0581432Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0581554Z                 'obj_weakref': None
2022-11-23T01:32:32.0581783Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0581847Z             }
2022-11-23T01:32:32.0581913Z             
2022-11-23T01:32:32.0581988Z  - 
2022-11-23T01:32:32.0582113Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0582181Z             {
2022-11-23T01:32:32.0582319Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0582535Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0582650Z                 'obj_weakref': None
2022-11-23T01:32:32.0582871Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0582941Z             }
2022-11-23T01:32:32.0583009Z             
2022-11-23T01:32:32.0583083Z  - 
2022-11-23T01:32:32.0583219Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0583288Z             {
2022-11-23T01:32:32.0583406Z                 'guard_types': None,
2022-11-23T01:32:32.0583520Z                 'code': None,
2022-11-23T01:32:32.0583642Z                 'obj_weakref': None
2022-11-23T01:32:32.0583764Z                 'guarded_class': None
2022-11-23T01:32:32.0583832Z             }
2022-11-23T01:32:32.0583900Z             
2022-11-23T01:32:32.0584160Z [2022-11-23 01:30:14,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 679
2022-11-23T01:32:32.0584444Z [2022-11-23 01:30:14,714] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0584797Z [2022-11-23 01:30:14,787] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rg/crgyge2mkme62h45am3e7j6ganzxgdlws24mqr52mlyfuot5jx4d.py
2022-11-23T01:32:32.0585068Z [2022-11-23 01:30:14,787] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 679
2022-11-23T01:32:32.0585363Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0585676Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0585919Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0586173Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0586446Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0586761Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0587098Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0587409Z [2022-11-23 01:30:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0587773Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670> 
2022-11-23T01:32:32.0587874Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0587974Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0588072Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0588168Z               6 CALL_METHOD              1
2022-11-23T01:32:32.0588266Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0588361Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0588449Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0588544Z              14 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0588625Z              16 BINARY_ADD
2022-11-23T01:32:32.0588718Z              18 CALL_METHOD              1
2022-11-23T01:32:32.0588817Z              20 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0588902Z              22 BINARY_SUBTRACT
2022-11-23T01:32:32.0588993Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0589068Z              26 RETURN_VALUE
2022-11-23T01:32:32.0589133Z  
2022-11-23T01:32:32.0589139Z 
2022-11-23T01:32:32.0589450Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671
2022-11-23T01:32:32.0589670Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0590029Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0590423Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0590770Z [2022-11-23 01:30:14,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0591017Z [2022-11-23 01:30:14,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0591397Z [2022-11-23 01:30:14,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0591733Z [2022-11-23 01:30:14,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0592116Z [2022-11-23 01:30:14,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0592541Z [2022-11-23 01:30:14,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0592909Z [2022-11-23 01:30:14,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0593173Z [2022-11-23 01:30:14,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0593486Z [2022-11-23 01:30:14,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0593752Z [2022-11-23 01:30:14,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0594000Z [2022-11-23 01:30:14,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0594371Z [2022-11-23 01:30:14,795] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670>
2022-11-23T01:32:32.0594617Z [2022-11-23 01:30:14,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0594853Z [2022-11-23 01:30:14,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0595107Z [2022-11-23 01:30:14,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0595348Z [2022-11-23 01:30:14,799] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0595539Z [2022-11-23 01:30:14,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0595682Z  __compiled_fn_697 <eval_with_key>.4305 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0595780Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0596002Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0596178Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0596397Z call_function, sgn_1, <built-in method sgn of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0596571Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T01:32:32.0596670Z output, output, output, ((sgn, sub),), {}
2022-11-23T01:32:32.0596681Z 
2022-11-23T01:32:32.0596995Z [2022-11-23 01:30:14,800] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0597095Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0597191Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0597288Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0597388Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0597480Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0597574Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0597649Z              12 RETURN_VALUE
2022-11-23T01:32:32.0597654Z 
2022-11-23T01:32:32.0597720Z  
2022-11-23T01:32:32.0598030Z [2022-11-23 01:30:14,800] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0598145Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_697)
2022-11-23T01:32:32.0598242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0598337Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0598419Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0598512Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0598648Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0598776Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0598871Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0598955Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0599064Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0599162Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0599243Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0599329Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0599412Z              26 RETURN_VALUE
2022-11-23T01:32:32.0599417Z 
2022-11-23T01:32:32.0599483Z  
2022-11-23T01:32:32.0599669Z [2022-11-23 01:30:14,800] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0599746Z  - 
2022-11-23T01:32:32.0599870Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0599940Z             {
2022-11-23T01:32:32.0600077Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0600271Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0600401Z                 'obj_weakref': None
2022-11-23T01:32:32.0600624Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0600694Z             }
2022-11-23T01:32:32.0600761Z             
2022-11-23T01:32:32.0600837Z  - 
2022-11-23T01:32:32.0600958Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0601029Z             {
2022-11-23T01:32:32.0601172Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0601284Z                 'code': None,
2022-11-23T01:32:32.0601500Z                 'obj_weakref': <weakref at 0x7f1ffad5dd50; to 'Tensor' at 0x7f1ffad3b420>
2022-11-23T01:32:32.0601746Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0601814Z             }
2022-11-23T01:32:32.0601875Z             
2022-11-23T01:32:32.0601951Z  - 
2022-11-23T01:32:32.0602089Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0602159Z             {
2022-11-23T01:32:32.0602299Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0602475Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0602598Z                 'obj_weakref': None
2022-11-23T01:32:32.0602819Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0602886Z             }
2022-11-23T01:32:32.0602953Z             
2022-11-23T01:32:32.0603027Z  - 
2022-11-23T01:32:32.0603152Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0603221Z             {
2022-11-23T01:32:32.0603360Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0603569Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0603692Z                 'obj_weakref': None
2022-11-23T01:32:32.0603917Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0603990Z             }
2022-11-23T01:32:32.0604059Z             
2022-11-23T01:32:32.0604133Z  - 
2022-11-23T01:32:32.0604271Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0604332Z             {
2022-11-23T01:32:32.0604455Z                 'guard_types': None,
2022-11-23T01:32:32.0604568Z                 'code': None,
2022-11-23T01:32:32.0604690Z                 'obj_weakref': None
2022-11-23T01:32:32.0604819Z                 'guarded_class': None
2022-11-23T01:32:32.0604887Z             }
2022-11-23T01:32:32.0604953Z             
2022-11-23T01:32:32.0605205Z [2022-11-23 01:30:14,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 680
2022-11-23T01:32:32.0605493Z [2022-11-23 01:30:14,817] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0605880Z [2022-11-23 01:30:14,890] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eu/ceuwi5yy33n5uk7w5zvliswrwb7pgxldesij5bdu5wc74vlh5tpf.py
2022-11-23T01:32:32.0606160Z [2022-11-23 01:30:14,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 680
2022-11-23T01:32:32.0606166Z 
2022-11-23T01:32:32.0606265Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0606338Z import torch
2022-11-23T01:32:32.0606414Z import random
2022-11-23T01:32:32.0606534Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0606652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0606657Z 
2022-11-23T01:32:32.0606740Z aten = torch.ops.aten
2022-11-23T01:32:32.0606879Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0606976Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0606981Z 
2022-11-23T01:32:32.0607054Z import triton
2022-11-23T01:32:32.0607147Z import triton.language as tl
2022-11-23T01:32:32.0607275Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0607418Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0607427Z 
2022-11-23T01:32:32.0607431Z 
2022-11-23T01:32:32.0607607Z triton_fused_add_sign_1_sign_sub0 = async_compile.triton('''
2022-11-23T01:32:32.0607682Z import triton
2022-11-23T01:32:32.0607774Z import triton.language as tl
2022-11-23T01:32:32.0607888Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0607992Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0608129Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0608256Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0608261Z 
2022-11-23T01:32:32.0608646Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0608714Z @triton.jit
2022-11-23T01:32:32.0608860Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0608937Z     xnumel = 41
2022-11-23T01:32:32.0609034Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0609166Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0609251Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0609321Z     x0 = xindex
2022-11-23T01:32:32.0609412Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0609486Z     tmp1 = 0 < tmp0
2022-11-23T01:32:32.0609577Z     tmp2 = tl.where(tmp1, 1, 0)
2022-11-23T01:32:32.0609653Z     tmp3 = tmp0 < 0
2022-11-23T01:32:32.0609744Z     tmp4 = tl.where(tmp3, 1, 0)
2022-11-23T01:32:32.0609854Z     tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.0609925Z     tmp6 = 1
2022-11-23T01:32:32.0609997Z     tmp7 = tmp0 + tmp6
2022-11-23T01:32:32.0610072Z     tmp8 = 0 < tmp7
2022-11-23T01:32:32.0610161Z     tmp9 = tl.where(tmp8, 1, 0)
2022-11-23T01:32:32.0610237Z     tmp10 = tmp7 < 0
2022-11-23T01:32:32.0610334Z     tmp11 = tl.where(tmp10, 1, 0)
2022-11-23T01:32:32.0610447Z     tmp12 = tmp9 - tmp11
2022-11-23T01:32:32.0610553Z     tmp13 = tmp12 - tmp6
2022-11-23T01:32:32.0610695Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.0610835Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.0610922Z ''')
2022-11-23T01:32:32.0610927Z 
2022-11-23T01:32:32.0610932Z 
2022-11-23T01:32:32.0611026Z async_compile.wait(globals())
2022-11-23T01:32:32.0611103Z del async_compile
2022-11-23T01:32:32.0611108Z 
2022-11-23T01:32:32.0611185Z def call(args):
2022-11-23T01:32:32.0611260Z     arg0_1, = args
2022-11-23T01:32:32.0611329Z     args.clear()
2022-11-23T01:32:32.0611526Z     buf0 = empty_strided((41, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0611723Z     buf1 = empty_strided((41, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0611815Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0612004Z     triton_fused_add_sign_1_sign_sub0.run(arg0_1, buf0, buf1, 41, grid=grid(41), stream=stream0)
2022-11-23T01:32:32.0612099Z     del arg0_1
2022-11-23T01:32:32.0612181Z     return (buf0, buf1, )
2022-11-23T01:32:32.0612186Z 
2022-11-23T01:32:32.0612191Z 
2022-11-23T01:32:32.0612272Z if __name__ == "__main__":
2022-11-23T01:32:32.0612386Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0612515Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0612711Z     arg0_1 = rand_strided((41, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0612824Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0612829Z 
2022-11-23T01:32:32.0612833Z 
2022-11-23T01:32:32.0612933Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0613010Z import torch
2022-11-23T01:32:32.0613082Z import random
2022-11-23T01:32:32.0613200Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0613318Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0613325Z 
2022-11-23T01:32:32.0613408Z aten = torch.ops.aten
2022-11-23T01:32:32.0613547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0613640Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0613645Z 
2022-11-23T01:32:32.0613718Z import triton
2022-11-23T01:32:32.0613810Z import triton.language as tl
2022-11-23T01:32:32.0613938Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0614072Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0614085Z 
2022-11-23T01:32:32.0614090Z 
2022-11-23T01:32:32.0614405Z triton_fused_sub_sign_1_convert_element_type_3_convert_element_type_1_convert_element_type_2_convert_element_type_add_sign0 = async_compile.triton('''
2022-11-23T01:32:32.0614480Z import triton
2022-11-23T01:32:32.0614572Z import triton.language as tl
2022-11-23T01:32:32.0614685Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0614787Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0614925Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0615053Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0615058Z 
2022-11-23T01:32:32.0615439Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0615506Z @triton.jit
2022-11-23T01:32:32.0615653Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0615727Z     xnumel = 41
2022-11-23T01:32:32.0615825Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0615957Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0616041Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0616114Z     x0 = xindex
2022-11-23T01:32:32.0616226Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0616319Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.0616394Z     tmp2 = 0 < tmp1
2022-11-23T01:32:32.0616483Z     tmp3 = tl.where(tmp2, 1, 0)
2022-11-23T01:32:32.0616558Z     tmp4 = tmp1 < 0
2022-11-23T01:32:32.0616648Z     tmp5 = tl.where(tmp4, 1, 0)
2022-11-23T01:32:32.0616759Z     tmp6 = tmp3 - tmp5
2022-11-23T01:32:32.0616841Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:32.0616912Z     tmp8 = 1
2022-11-23T01:32:32.0616992Z     tmp9 = tmp0 + tmp8
2022-11-23T01:32:32.0617082Z     tmp10 = tmp9.to(tl.float32)
2022-11-23T01:32:32.0617158Z     tmp11 = 0 < tmp10
2022-11-23T01:32:32.0617252Z     tmp12 = tl.where(tmp11, 1, 0)
2022-11-23T01:32:32.0617328Z     tmp13 = tmp10 < 0
2022-11-23T01:32:32.0617411Z     tmp14 = tl.where(tmp13, 1, 0)
2022-11-23T01:32:32.0617526Z     tmp15 = tmp12 - tmp14
2022-11-23T01:32:32.0617615Z     tmp16 = tmp15.to(tl.float32)
2022-11-23T01:32:32.0617726Z     tmp17 = tmp16 - tmp8
2022-11-23T01:32:32.0617861Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.0618027Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.0618133Z ''')
2022-11-23T01:32:32.0618138Z 
2022-11-23T01:32:32.0618142Z 
2022-11-23T01:32:32.0618230Z async_compile.wait(globals())
2022-11-23T01:32:32.0618308Z del async_compile
2022-11-23T01:32:32.0618313Z 
2022-11-23T01:32:32.0618391Z def call(args):
2022-11-23T01:32:32.0618465Z     arg0_1, = args
2022-11-23T01:32:32.0618543Z     args.clear()
2022-11-23T01:32:32.0618739Z     buf0 = empty_strided((41, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0619119Z     buf1 = empty_strided((41, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0619203Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0619452Z     triton_fused_sub_sign_1_convert_element_type_3_convert_element_type_1_convert_element_type_2_convert_element_type_add_sign0.run(arg0_1, buf0, buf1, 41, grid=grid(41), stream=stream0)
2022-11-23T01:32:32.0619526Z     del arg0_1
2022-11-23T01:32:32.0619614Z     return (buf0, buf1, )
2022-11-23T01:32:32.0619619Z 
2022-11-23T01:32:32.0619627Z 
2022-11-23T01:32:32.0619708Z if __name__ == "__main__":
2022-11-23T01:32:32.0619829Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0619957Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0620154Z     arg0_1 = rand_strided((41, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0620260Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0620271Z 
2022-11-23T01:32:32.0620336Z ok (0.206s)
2022-11-23T01:32:32.0620649Z   test_sgn_extremal_cuda (__main__.CudaTests) ... [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0620966Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0621187Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0621441Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0621718Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0622033Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0622409Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0622744Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0623113Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676> 
2022-11-23T01:32:32.0623211Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0623310Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0623412Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0623508Z               6 CALL_METHOD              1
2022-11-23T01:32:32.0623603Z               8 BUILD_TUPLE              1
2022-11-23T01:32:32.0623689Z              10 RETURN_VALUE
2022-11-23T01:32:32.0623757Z  
2022-11-23T01:32:32.0623763Z 
2022-11-23T01:32:32.0624065Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677
2022-11-23T01:32:32.0624285Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0624686Z [2022-11-23 01:30:14,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0625036Z [2022-11-23 01:30:14,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0625377Z [2022-11-23 01:30:14,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0625620Z [2022-11-23 01:30:14,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0625866Z [2022-11-23 01:30:14,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0626234Z [2022-11-23 01:30:14,897] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676>
2022-11-23T01:32:32.0626482Z [2022-11-23 01:30:14,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0626724Z [2022-11-23 01:30:14,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0626982Z [2022-11-23 01:30:14,898] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0627224Z [2022-11-23 01:30:14,899] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0627416Z [2022-11-23 01:30:14,900] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0627555Z  __compiled_fn_698 <eval_with_key>.4311 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0627649Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0627870Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0627970Z output, output, output, ((sgn,),), {}
2022-11-23T01:32:32.0627976Z 
2022-11-23T01:32:32.0628300Z [2022-11-23 01:30:14,900] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0628403Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0628494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0628587Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0628686Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0628780Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0628877Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0628959Z              12 RETURN_VALUE
2022-11-23T01:32:32.0628964Z 
2022-11-23T01:32:32.0629028Z  
2022-11-23T01:32:32.0629343Z [2022-11-23 01:30:14,900] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0629452Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_698)
2022-11-23T01:32:32.0629554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0629651Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0629736Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0629828Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0629941Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0630049Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0630139Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0630221Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0630392Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0630488Z              20 RETURN_VALUE
2022-11-23T01:32:32.0630494Z 
2022-11-23T01:32:32.0630561Z  
2022-11-23T01:32:32.0630749Z [2022-11-23 01:30:14,901] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0630825Z  - 
2022-11-23T01:32:32.0630942Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0631011Z             {
2022-11-23T01:32:32.0631187Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0631377Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0631527Z                 'obj_weakref': None
2022-11-23T01:32:32.0631752Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0631822Z             }
2022-11-23T01:32:32.0631884Z             
2022-11-23T01:32:32.0631961Z  - 
2022-11-23T01:32:32.0632090Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0632160Z             {
2022-11-23T01:32:32.0632309Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0632444Z                 'code': None,
2022-11-23T01:32:32.0632686Z                 'obj_weakref': <weakref at 0x7f1fd8355bc0; to 'Tensor' at 0x7f201e3c3f10>
2022-11-23T01:32:32.0632928Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0632999Z             }
2022-11-23T01:32:32.0633070Z             
2022-11-23T01:32:32.0633146Z  - 
2022-11-23T01:32:32.0633284Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0633355Z             {
2022-11-23T01:32:32.0633495Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0633661Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0633784Z                 'obj_weakref': None
2022-11-23T01:32:32.0634014Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0634083Z             }
2022-11-23T01:32:32.0634151Z             
2022-11-23T01:32:32.0634227Z  - 
2022-11-23T01:32:32.0634353Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0634416Z             {
2022-11-23T01:32:32.0634554Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0634769Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0634892Z                 'obj_weakref': None
2022-11-23T01:32:32.0635116Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0635190Z             }
2022-11-23T01:32:32.0635259Z             
2022-11-23T01:32:32.0635328Z  - 
2022-11-23T01:32:32.0635462Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0635531Z             {
2022-11-23T01:32:32.0635654Z                 'guard_types': None,
2022-11-23T01:32:32.0635765Z                 'code': None,
2022-11-23T01:32:32.0635885Z                 'obj_weakref': None
2022-11-23T01:32:32.0636010Z                 'guarded_class': None
2022-11-23T01:32:32.0636072Z             }
2022-11-23T01:32:32.0636142Z             
2022-11-23T01:32:32.0636405Z [2022-11-23 01:30:14,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 681
2022-11-23T01:32:32.0636655Z [2022-11-23 01:30:14,907] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0637016Z [2022-11-23 01:30:14,969] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czw4yntfjm2ytaoggh5bkh7hw7dfr5fewsnwp6i5bwejdnbjfeox.py
2022-11-23T01:32:32.0637284Z [2022-11-23 01:30:14,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 681
2022-11-23T01:32:32.0637520Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0637832Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0638049Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0638295Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0638569Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0638920Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0639279Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0639598Z [2022-11-23 01:30:14,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0639968Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676> 
2022-11-23T01:32:32.0640076Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0640179Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:32.0640278Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0640367Z               6 CALL_METHOD              1
2022-11-23T01:32:32.0640462Z               8 BUILD_TUPLE              1
2022-11-23T01:32:32.0640545Z              10 RETURN_VALUE
2022-11-23T01:32:32.0640612Z  
2022-11-23T01:32:32.0640617Z 
2022-11-23T01:32:32.0640926Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677
2022-11-23T01:32:32.0641146Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0641504Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0641813Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0642160Z [2022-11-23 01:30:14,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0642430Z [2022-11-23 01:30:14,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0642691Z [2022-11-23 01:30:14,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0643060Z [2022-11-23 01:30:14,974] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f40c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676>
2022-11-23T01:32:32.0643304Z [2022-11-23 01:30:14,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0643541Z [2022-11-23 01:30:14,974] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0643799Z [2022-11-23 01:30:14,975] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0644050Z [2022-11-23 01:30:14,977] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0644243Z [2022-11-23 01:30:14,978] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0644383Z  __compiled_fn_699 <eval_with_key>.4317 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0644471Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0644694Z call_function, sgn, <built-in method sgn of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0644797Z output, output, output, ((sgn,),), {}
2022-11-23T01:32:32.0644803Z 
2022-11-23T01:32:32.0645123Z [2022-11-23 01:30:14,978] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0645224Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0645323Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0645442Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0645545Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0645652Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0645748Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0645830Z              12 RETURN_VALUE
2022-11-23T01:32:32.0645835Z 
2022-11-23T01:32:32.0645901Z  
2022-11-23T01:32:32.0646217Z [2022-11-23 01:30:14,978] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0646333Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_699)
2022-11-23T01:32:32.0646431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0646528Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0646604Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0646698Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0646810Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0646922Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0647019Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0647102Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0647196Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0647270Z              20 RETURN_VALUE
2022-11-23T01:32:32.0647275Z 
2022-11-23T01:32:32.0647340Z  
2022-11-23T01:32:32.0647527Z [2022-11-23 01:30:14,979] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0647603Z  - 
2022-11-23T01:32:32.0647727Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0647796Z             {
2022-11-23T01:32:32.0647940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0648122Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0648245Z                 'obj_weakref': None
2022-11-23T01:32:32.0648470Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0648546Z             }
2022-11-23T01:32:32.0648617Z             
2022-11-23T01:32:32.0648692Z  - 
2022-11-23T01:32:32.0648819Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0648881Z             {
2022-11-23T01:32:32.0649028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0649140Z                 'code': None,
2022-11-23T01:32:32.0649353Z                 'obj_weakref': <weakref at 0x7f1ff818dd00; to 'Tensor' at 0x7f1ffad3a3e0>
2022-11-23T01:32:32.0649603Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0649672Z             }
2022-11-23T01:32:32.0649740Z             
2022-11-23T01:32:32.0649809Z  - 
2022-11-23T01:32:32.0649944Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0650012Z             {
2022-11-23T01:32:32.0650152Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0650327Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0650448Z                 'obj_weakref': None
2022-11-23T01:32:32.0650682Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0650744Z             }
2022-11-23T01:32:32.0650812Z             
2022-11-23T01:32:32.0650887Z  - 
2022-11-23T01:32:32.0651012Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0651084Z             {
2022-11-23T01:32:32.0651222Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0651438Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0651553Z                 'obj_weakref': None
2022-11-23T01:32:32.0651773Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0651842Z             }
2022-11-23T01:32:32.0651910Z             
2022-11-23T01:32:32.0651986Z  - 
2022-11-23T01:32:32.0652141Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0652252Z             {
2022-11-23T01:32:32.0652408Z                 'guard_types': None,
2022-11-23T01:32:32.0652519Z                 'code': None,
2022-11-23T01:32:32.0652638Z                 'obj_weakref': None
2022-11-23T01:32:32.0652760Z                 'guarded_class': None
2022-11-23T01:32:32.0652827Z             }
2022-11-23T01:32:32.0652896Z             
2022-11-23T01:32:32.0653157Z [2022-11-23 01:30:14,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 682
2022-11-23T01:32:32.0653399Z [2022-11-23 01:30:14,987] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0653749Z [2022-11-23 01:30:15,050] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5nhwgo44vaq5i24uhtj2q7s7ii7fyfazcwm4w4q3po3a4xfpj2.py
2022-11-23T01:32:32.0654013Z [2022-11-23 01:30:15,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 682
2022-11-23T01:32:32.0654019Z 
2022-11-23T01:32:32.0654121Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0654200Z import torch
2022-11-23T01:32:32.0654276Z import random
2022-11-23T01:32:32.0654398Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0654522Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0654527Z 
2022-11-23T01:32:32.0654604Z aten = torch.ops.aten
2022-11-23T01:32:32.0654743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0654841Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0654846Z 
2022-11-23T01:32:32.0654921Z import triton
2022-11-23T01:32:32.0655013Z import triton.language as tl
2022-11-23T01:32:32.0655140Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0655284Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0655290Z 
2022-11-23T01:32:32.0655295Z 
2022-11-23T01:32:32.0655448Z triton_fused_sign0 = async_compile.triton('''
2022-11-23T01:32:32.0655517Z import triton
2022-11-23T01:32:32.0655613Z import triton.language as tl
2022-11-23T01:32:32.0655729Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0655833Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0655967Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0656096Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0656101Z 
2022-11-23T01:32:32.0656467Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0656544Z @triton.jit
2022-11-23T01:32:32.0656671Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0656746Z     xnumel = 4
2022-11-23T01:32:32.0656846Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0656980Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0657064Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0657138Z     x0 = xindex
2022-11-23T01:32:32.0657238Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0657308Z     tmp1 = 0 < tmp0
2022-11-23T01:32:32.0657398Z     tmp2 = tl.where(tmp1, 1, 0)
2022-11-23T01:32:32.0657477Z     tmp3 = tmp0 < 0
2022-11-23T01:32:32.0657565Z     tmp4 = tl.where(tmp3, 1, 0)
2022-11-23T01:32:32.0657673Z     tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.0657809Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.0657896Z ''')
2022-11-23T01:32:32.0657901Z 
2022-11-23T01:32:32.0657906Z 
2022-11-23T01:32:32.0657993Z async_compile.wait(globals())
2022-11-23T01:32:32.0658071Z del async_compile
2022-11-23T01:32:32.0658076Z 
2022-11-23T01:32:32.0658151Z def call(args):
2022-11-23T01:32:32.0658223Z     arg0_1, = args
2022-11-23T01:32:32.0658299Z     args.clear()
2022-11-23T01:32:32.0658493Z     buf0 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0658585Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0658743Z     triton_fused_sign0.run(arg0_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0659649Z     del arg0_1
2022-11-23T01:32:32.0659751Z     return (buf0, )
2022-11-23T01:32:32.0659758Z 
2022-11-23T01:32:32.0659762Z 
2022-11-23T01:32:32.0659845Z if __name__ == "__main__":
2022-11-23T01:32:32.0659970Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0660095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0660319Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0660432Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0660437Z 
2022-11-23T01:32:32.0660442Z 
2022-11-23T01:32:32.0660540Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0660607Z import torch
2022-11-23T01:32:32.0660683Z import random
2022-11-23T01:32:32.0660802Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0660931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0660936Z 
2022-11-23T01:32:32.0661023Z aten = torch.ops.aten
2022-11-23T01:32:32.0661161Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0661257Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0661262Z 
2022-11-23T01:32:32.0661329Z import triton
2022-11-23T01:32:32.0661423Z import triton.language as tl
2022-11-23T01:32:32.0661548Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0661692Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0661697Z 
2022-11-23T01:32:32.0661701Z 
2022-11-23T01:32:32.0661930Z triton_fused_sign_convert_element_type_1_convert_element_type0 = async_compile.triton('''
2022-11-23T01:32:32.0662005Z import triton
2022-11-23T01:32:32.0662097Z import triton.language as tl
2022-11-23T01:32:32.0662210Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0662306Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0662440Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0662566Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0662572Z 
2022-11-23T01:32:32.0662932Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.0663006Z @triton.jit
2022-11-23T01:32:32.0663139Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0663212Z     xnumel = 4
2022-11-23T01:32:32.0663387Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0663511Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0663596Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0663665Z     x0 = xindex
2022-11-23T01:32:32.0663786Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0663876Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.0663951Z     tmp2 = 0 < tmp1
2022-11-23T01:32:32.0664044Z     tmp3 = tl.where(tmp2, 1, 0)
2022-11-23T01:32:32.0664115Z     tmp4 = tmp1 < 0
2022-11-23T01:32:32.0664204Z     tmp5 = tl.where(tmp4, 1, 0)
2022-11-23T01:32:32.0664317Z     tmp6 = tmp3 - tmp5
2022-11-23T01:32:32.0664406Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:32.0664542Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.0664626Z ''')
2022-11-23T01:32:32.0664631Z 
2022-11-23T01:32:32.0664636Z 
2022-11-23T01:32:32.0664729Z async_compile.wait(globals())
2022-11-23T01:32:32.0664799Z del async_compile
2022-11-23T01:32:32.0664804Z 
2022-11-23T01:32:32.0664879Z def call(args):
2022-11-23T01:32:32.0664959Z     arg0_1, = args
2022-11-23T01:32:32.0665064Z     args.clear()
2022-11-23T01:32:32.0665277Z     buf0 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0665370Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0665666Z     triton_fused_sign_convert_element_type_1_convert_element_type0.run(arg0_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.0665769Z     del arg0_1
2022-11-23T01:32:32.0665849Z     return (buf0, )
2022-11-23T01:32:32.0665855Z 
2022-11-23T01:32:32.0665859Z 
2022-11-23T01:32:32.0665940Z if __name__ == "__main__":
2022-11-23T01:32:32.0666062Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0666190Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0666384Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0666498Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0666503Z 
2022-11-23T01:32:32.0666574Z ok (0.159s)
2022-11-23T01:32:32.0666873Z   test_sigmoid_cuda (__main__.CudaTests) ... [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0667190Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0667412Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0667668Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0667945Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0668262Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0668605Z [2022-11-23 01:30:15,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0668929Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0669307Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006> 
2022-11-23T01:32:32.0669414Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0669510Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:32.0669608Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0669705Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0669806Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0669905Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:32.0669998Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0670092Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:32.0670170Z               16 BINARY_ADD
2022-11-23T01:32:32.0670357Z               18 CALL_METHOD              1
2022-11-23T01:32:32.0670453Z               20 BUILD_TUPLE              2
2022-11-23T01:32:32.0670538Z               22 RETURN_VALUE
2022-11-23T01:32:32.0670608Z  
2022-11-23T01:32:32.0670613Z 
2022-11-23T01:32:32.0670925Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007
2022-11-23T01:32:32.0671146Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0671514Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0671835Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0672207Z [2022-11-23 01:30:15,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0672509Z [2022-11-23 01:30:15,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0672922Z [2022-11-23 01:30:15,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0673266Z [2022-11-23 01:30:15,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0673631Z [2022-11-23 01:30:15,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0674030Z [2022-11-23 01:30:15,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0674405Z [2022-11-23 01:30:15,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0674675Z [2022-11-23 01:30:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0674920Z [2022-11-23 01:30:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0675298Z [2022-11-23 01:30:15,059] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006>
2022-11-23T01:32:32.0675543Z [2022-11-23 01:30:15,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0675779Z [2022-11-23 01:30:15,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0676025Z [2022-11-23 01:30:15,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0676278Z [2022-11-23 01:30:15,063] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0676471Z [2022-11-23 01:30:15,064] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0676613Z  __compiled_fn_700 <eval_with_key>.4323 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0676708Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0676804Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0677043Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0677226Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.0677456Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0677579Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T01:32:32.0677586Z 
2022-11-23T01:32:32.0677916Z [2022-11-23 01:30:15,064] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0678018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0678116Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0678211Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0678311Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0678403Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0678490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0678572Z              12 RETURN_VALUE
2022-11-23T01:32:32.0678578Z 
2022-11-23T01:32:32.0678642Z  
2022-11-23T01:32:32.0679012Z [2022-11-23 01:30:15,064] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0679172Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_700)
2022-11-23T01:32:32.0679291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0679388Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0679471Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0679559Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0679653Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0679734Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0679829Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0679940Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0680047Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0680142Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0680215Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0680324Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0680421Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0680505Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.0680596Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.0680676Z              32 RETURN_VALUE
2022-11-23T01:32:32.0680681Z 
2022-11-23T01:32:32.0680747Z  
2022-11-23T01:32:32.0680928Z [2022-11-23 01:30:15,065] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0681005Z  - 
2022-11-23T01:32:32.0681130Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0681197Z             {
2022-11-23T01:32:32.0681342Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0681532Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.0681656Z                 'obj_weakref': None
2022-11-23T01:32:32.0681879Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0681941Z             }
2022-11-23T01:32:32.0682010Z             
2022-11-23T01:32:32.0682085Z  - 
2022-11-23T01:32:32.0682215Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0682286Z             {
2022-11-23T01:32:32.0682431Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0682536Z                 'code': None,
2022-11-23T01:32:32.0682746Z                 'obj_weakref': <weakref at 0x7f1fe819c220; to 'Tensor' at 0x7f2127a0c5e0>
2022-11-23T01:32:32.0682996Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0683065Z             }
2022-11-23T01:32:32.0683131Z             
2022-11-23T01:32:32.0683207Z  - 
2022-11-23T01:32:32.0683339Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0683400Z             {
2022-11-23T01:32:32.0683547Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0683660Z                 'code': None,
2022-11-23T01:32:32.0683872Z                 'obj_weakref': <weakref at 0x7f1fe819c950; to 'Tensor' at 0x7f201e3c3f10>
2022-11-23T01:32:32.0684121Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0684193Z             }
2022-11-23T01:32:32.0684260Z             
2022-11-23T01:32:32.0684328Z  - 
2022-11-23T01:32:32.0684461Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0684530Z             {
2022-11-23T01:32:32.0684669Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0684848Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0684972Z                 'obj_weakref': None
2022-11-23T01:32:32.0685205Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0685274Z             }
2022-11-23T01:32:32.0685336Z             
2022-11-23T01:32:32.0685411Z  - 
2022-11-23T01:32:32.0685537Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0685605Z             {
2022-11-23T01:32:32.0685746Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0685996Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0686133Z                 'obj_weakref': None
2022-11-23T01:32:32.0686361Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0686429Z             }
2022-11-23T01:32:32.0686494Z             
2022-11-23T01:32:32.0686568Z  - 
2022-11-23T01:32:32.0686706Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0686774Z             {
2022-11-23T01:32:32.0686892Z                 'guard_types': None,
2022-11-23T01:32:32.0687003Z                 'code': None,
2022-11-23T01:32:32.0687129Z                 'obj_weakref': None
2022-11-23T01:32:32.0687255Z                 'guarded_class': None
2022-11-23T01:32:32.0687323Z             }
2022-11-23T01:32:32.0687391Z             
2022-11-23T01:32:32.0687654Z [2022-11-23 01:30:15,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 683
2022-11-23T01:32:32.0687943Z [2022-11-23 01:30:15,078] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0688304Z [2022-11-23 01:30:15,148] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/di/cdi64e7mq2mhbye5oydlbqkk54ccuz7bv5u2ek6mvwlkaweerkya.py
2022-11-23T01:32:32.0688565Z [2022-11-23 01:30:15,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 683
2022-11-23T01:32:32.0688801Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0689111Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0689329Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0689581Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0689858Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0690176Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0690516Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0690831Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0691190Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006> 
2022-11-23T01:32:32.0691297Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0691403Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:32.0691500Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0691597Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0691699Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0691799Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:32.0691895Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0691982Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:32.0692061Z               16 BINARY_ADD
2022-11-23T01:32:32.0692152Z               18 CALL_METHOD              1
2022-11-23T01:32:32.0692251Z               20 BUILD_TUPLE              2
2022-11-23T01:32:32.0692332Z               22 RETURN_VALUE
2022-11-23T01:32:32.0692397Z  
2022-11-23T01:32:32.0692403Z 
2022-11-23T01:32:32.0692767Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007
2022-11-23T01:32:32.0693047Z [2022-11-23 01:30:15,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0693408Z [2022-11-23 01:30:15,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0693728Z [2022-11-23 01:30:15,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0694076Z [2022-11-23 01:30:15,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0694322Z [2022-11-23 01:30:15,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0694715Z [2022-11-23 01:30:15,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0695062Z [2022-11-23 01:30:15,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0695429Z [2022-11-23 01:30:15,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0695828Z [2022-11-23 01:30:15,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0696203Z [2022-11-23 01:30:15,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0696470Z [2022-11-23 01:30:15,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0696720Z [2022-11-23 01:30:15,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0697081Z [2022-11-23 01:30:15,156] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006>
2022-11-23T01:32:32.0697325Z [2022-11-23 01:30:15,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0697557Z [2022-11-23 01:30:15,156] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0697811Z [2022-11-23 01:30:15,158] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0698064Z [2022-11-23 01:30:15,161] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0698259Z [2022-11-23 01:30:15,162] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0698402Z  __compiled_fn_701 <eval_with_key>.4329 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0698497Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0698590Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0698960Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0699146Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.0699390Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7f209c394c60>, (add,), {}
2022-11-23T01:32:32.0699508Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T01:32:32.0699513Z 
2022-11-23T01:32:32.0699886Z [2022-11-23 01:30:15,162] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0700014Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0700112Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0700205Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0700298Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0700390Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0700485Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0700567Z              12 RETURN_VALUE
2022-11-23T01:32:32.0700573Z 
2022-11-23T01:32:32.0700638Z  
2022-11-23T01:32:32.0700957Z [2022-11-23 01:30:15,162] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0701074Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_701)
2022-11-23T01:32:32.0701170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0701261Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0701344Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0701442Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0701539Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0701619Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0701712Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0701824Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0701926Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0702022Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0702104Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0702211Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0702305Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0702385Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.0702478Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.0702552Z              32 RETURN_VALUE
2022-11-23T01:32:32.0702560Z 
2022-11-23T01:32:32.0702625Z  
2022-11-23T01:32:32.0702814Z [2022-11-23 01:30:15,163] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0702889Z  - 
2022-11-23T01:32:32.0703014Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0703083Z             {
2022-11-23T01:32:32.0703228Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0703413Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.0703537Z                 'obj_weakref': None
2022-11-23T01:32:32.0703763Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0703832Z             }
2022-11-23T01:32:32.0703899Z             
2022-11-23T01:32:32.0703979Z  - 
2022-11-23T01:32:32.0704109Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0704170Z             {
2022-11-23T01:32:32.0704317Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0704434Z                 'code': None,
2022-11-23T01:32:32.0704650Z                 'obj_weakref': <weakref at 0x7f1fd8c24360; to 'Tensor' at 0x7f1fe819d8f0>
2022-11-23T01:32:32.0704904Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0704972Z             }
2022-11-23T01:32:32.0705040Z             
2022-11-23T01:32:32.0705107Z  - 
2022-11-23T01:32:32.0705234Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0705302Z             {
2022-11-23T01:32:32.0705451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0705563Z                 'code': None,
2022-11-23T01:32:32.0705774Z                 'obj_weakref': <weakref at 0x7f2151f03470; to 'Tensor' at 0x7f1fe819fe70>
2022-11-23T01:32:32.0706025Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0706092Z             }
2022-11-23T01:32:32.0706153Z             
2022-11-23T01:32:32.0706272Z  - 
2022-11-23T01:32:32.0706417Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0706515Z             {
2022-11-23T01:32:32.0706655Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0706829Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0706946Z                 'obj_weakref': None
2022-11-23T01:32:32.0707179Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0707248Z             }
2022-11-23T01:32:32.0707316Z             
2022-11-23T01:32:32.0707392Z  - 
2022-11-23T01:32:32.0707518Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0707589Z             {
2022-11-23T01:32:32.0707723Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0707945Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0708067Z                 'obj_weakref': None
2022-11-23T01:32:32.0708294Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0708364Z             }
2022-11-23T01:32:32.0708433Z             
2022-11-23T01:32:32.0708507Z  - 
2022-11-23T01:32:32.0708639Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0708707Z             {
2022-11-23T01:32:32.0708832Z                 'guard_types': None,
2022-11-23T01:32:32.0708944Z                 'code': None,
2022-11-23T01:32:32.0709067Z                 'obj_weakref': None
2022-11-23T01:32:32.0709193Z                 'guarded_class': None
2022-11-23T01:32:32.0709261Z             }
2022-11-23T01:32:32.0709322Z             
2022-11-23T01:32:32.0709584Z [2022-11-23 01:30:15,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 684
2022-11-23T01:32:32.0709876Z [2022-11-23 01:30:15,175] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0710239Z [2022-11-23 01:30:15,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jx/cjxo3ng3nafbj7pigwweg4snq26zwaxmpxgsxlc32uy2nlsnszhv.py
2022-11-23T01:32:32.0710612Z [2022-11-23 01:30:15,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 684
2022-11-23T01:32:32.0710619Z 
2022-11-23T01:32:32.0710740Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0710829Z import torch
2022-11-23T01:32:32.0710918Z import random
2022-11-23T01:32:32.0711048Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0711613Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0711619Z 
2022-11-23T01:32:32.0711702Z aten = torch.ops.aten
2022-11-23T01:32:32.0711844Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0711942Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0711947Z 
2022-11-23T01:32:32.0712021Z import triton
2022-11-23T01:32:32.0712114Z import triton.language as tl
2022-11-23T01:32:32.0712243Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0712381Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0712387Z 
2022-11-23T01:32:32.0712399Z 
2022-11-23T01:32:32.0712580Z triton_fused_sigmoid_add_sigmoid_10 = async_compile.triton('''
2022-11-23T01:32:32.0712656Z import triton
2022-11-23T01:32:32.0712749Z import triton.language as tl
2022-11-23T01:32:32.0712865Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0712968Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0713101Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0713229Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0713234Z 
2022-11-23T01:32:32.0713631Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.0713739Z @triton.jit
2022-11-23T01:32:32.0713893Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0713989Z     xnumel = 64
2022-11-23T01:32:32.0714088Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0714219Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0714305Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0714370Z     x0 = xindex
2022-11-23T01:32:32.0714470Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0714566Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.0714652Z     tmp1 = tl.sigmoid(tmp0)
2022-11-23T01:32:32.0714732Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.0714817Z     tmp4 = tl.sigmoid(tmp3)
2022-11-23T01:32:32.0714954Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0715088Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.0715167Z ''')
2022-11-23T01:32:32.0715172Z 
2022-11-23T01:32:32.0715179Z 
2022-11-23T01:32:32.0715273Z async_compile.wait(globals())
2022-11-23T01:32:32.0715351Z del async_compile
2022-11-23T01:32:32.0715356Z 
2022-11-23T01:32:32.0715432Z def call(args):
2022-11-23T01:32:32.0715512Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0715587Z     args.clear()
2022-11-23T01:32:32.0715786Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0715973Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0716065Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0716237Z     triton_fused_sigmoid_add_sigmoid_10.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0716310Z     del arg0_1
2022-11-23T01:32:32.0716383Z     del arg1_1
2022-11-23T01:32:32.0716465Z     return (buf0, buf1, )
2022-11-23T01:32:32.0716470Z 
2022-11-23T01:32:32.0716474Z 
2022-11-23T01:32:32.0716554Z if __name__ == "__main__":
2022-11-23T01:32:32.0716678Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0716800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0717002Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0717197Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0717317Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0717322Z 
2022-11-23T01:32:32.0717327Z 
2022-11-23T01:32:32.0717426Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0717501Z import torch
2022-11-23T01:32:32.0717577Z import random
2022-11-23T01:32:32.0717698Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0717815Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0717820Z 
2022-11-23T01:32:32.0717901Z aten = torch.ops.aten
2022-11-23T01:32:32.0718040Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0718137Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0718145Z 
2022-11-23T01:32:32.0718221Z import triton
2022-11-23T01:32:32.0718319Z import triton.language as tl
2022-11-23T01:32:32.0718446Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0718580Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0718593Z 
2022-11-23T01:32:32.0718597Z 
2022-11-23T01:32:32.0718776Z triton_fused_sigmoid_1_add_sigmoid0 = async_compile.triton('''
2022-11-23T01:32:32.0718850Z import triton
2022-11-23T01:32:32.0718942Z import triton.language as tl
2022-11-23T01:32:32.0719057Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0719162Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0719295Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0719419Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0719425Z 
2022-11-23T01:32:32.0719849Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.0719938Z @triton.jit
2022-11-23T01:32:32.0720092Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0720165Z     xnumel = 64
2022-11-23T01:32:32.0720263Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0720393Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0720477Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0720548Z     x0 = xindex
2022-11-23T01:32:32.0720660Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0720777Z     tmp2 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0720864Z     tmp1 = tl.sigmoid(tmp0)
2022-11-23T01:32:32.0720941Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.0721028Z     tmp4 = tl.sigmoid(tmp3)
2022-11-23T01:32:32.0721168Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0721304Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.0721386Z ''')
2022-11-23T01:32:32.0721391Z 
2022-11-23T01:32:32.0721405Z 
2022-11-23T01:32:32.0721490Z async_compile.wait(globals())
2022-11-23T01:32:32.0721567Z del async_compile
2022-11-23T01:32:32.0721573Z 
2022-11-23T01:32:32.0721647Z def call(args):
2022-11-23T01:32:32.0721727Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0721802Z     args.clear()
2022-11-23T01:32:32.0721997Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0722189Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0722273Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0722442Z     triton_fused_sigmoid_1_add_sigmoid0.run(arg0_1, arg1_1, buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0722515Z     del arg0_1
2022-11-23T01:32:32.0722588Z     del arg1_1
2022-11-23T01:32:32.0722673Z     return (buf0, buf1, )
2022-11-23T01:32:32.0722679Z 
2022-11-23T01:32:32.0722686Z 
2022-11-23T01:32:32.0722769Z if __name__ == "__main__":
2022-11-23T01:32:32.0722913Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0723051Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0723256Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0723450Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0723573Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0723578Z 
2022-11-23T01:32:32.0723649Z ok (0.196s)
2022-11-23T01:32:32.0723955Z   test_signbit_cuda (__main__.CudaTests) ... [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0724268Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0724489Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0724745Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0725013Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0725328Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0725666Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0725982Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0726383Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656> 
2022-11-23T01:32:32.0726509Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0726613Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:32.0726713Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0726809Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0726902Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0727003Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:32.0727101Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0727186Z               14 UNARY_NEGATIVE
2022-11-23T01:32:32.0727279Z               16 CALL_METHOD              1
2022-11-23T01:32:32.0727361Z               18 UNARY_INVERT
2022-11-23T01:32:32.0727457Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0727530Z               22 BINARY_AND
2022-11-23T01:32:32.0727630Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0727713Z               26 RETURN_VALUE
2022-11-23T01:32:32.0727781Z  
2022-11-23T01:32:32.0727786Z 
2022-11-23T01:32:32.0728102Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657
2022-11-23T01:32:32.0728322Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0728683Z [2022-11-23 01:30:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0729000Z [2022-11-23 01:30:15,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0729350Z [2022-11-23 01:30:15,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0729599Z [2022-11-23 01:30:15,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0729978Z [2022-11-23 01:30:15,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0730319Z [2022-11-23 01:30:15,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0730700Z [2022-11-23 01:30:15,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0731075Z [2022-11-23 01:30:15,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0731348Z [2022-11-23 01:30:15,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0731611Z [2022-11-23 01:30:15,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0731914Z [2022-11-23 01:30:15,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0732178Z [2022-11-23 01:30:15,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0732422Z [2022-11-23 01:30:15,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0732819Z [2022-11-23 01:30:15,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656>
2022-11-23T01:32:32.0733083Z [2022-11-23 01:30:15,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0733309Z [2022-11-23 01:30:15,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0733565Z [2022-11-23 01:30:15,256] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0733817Z [2022-11-23 01:30:15,260] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0734007Z [2022-11-23 01:30:15,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0734148Z  __compiled_fn_702 <eval_with_key>.4335 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0734244Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0734480Z call_function, signbit, <built-in method signbit of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0734653Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T01:32:32.0734874Z call_function, signbit_1, <built-in method signbit of type object at 0x7f209c394c60>, (neg,), {}
2022-11-23T01:32:32.0735067Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T01:32:32.0735246Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T01:32:32.0735360Z output, output, output, ((signbit, and_),), {}
2022-11-23T01:32:32.0735366Z 
2022-11-23T01:32:32.0735688Z [2022-11-23 01:30:15,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0735789Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0735885Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0735978Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0736080Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0736165Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0736261Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0736343Z              12 RETURN_VALUE
2022-11-23T01:32:32.0736348Z 
2022-11-23T01:32:32.0736413Z  
2022-11-23T01:32:32.0736729Z [2022-11-23 01:30:15,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0736846Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_702)
2022-11-23T01:32:32.0736943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0737033Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0737116Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0737208Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0737318Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0737426Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0737524Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0737609Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0737711Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0737808Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0737891Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0737984Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0738067Z              26 RETURN_VALUE
2022-11-23T01:32:32.0738072Z 
2022-11-23T01:32:32.0738138Z  
2022-11-23T01:32:32.0738326Z [2022-11-23 01:30:15,261] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0738403Z  - 
2022-11-23T01:32:32.0738520Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0738592Z             {
2022-11-23T01:32:32.0738736Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0739125Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0739302Z                 'obj_weakref': None
2022-11-23T01:32:32.0739530Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0739632Z             }
2022-11-23T01:32:32.0739693Z             
2022-11-23T01:32:32.0739769Z  - 
2022-11-23T01:32:32.0739899Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0739967Z             {
2022-11-23T01:32:32.0740116Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0740234Z                 'code': None,
2022-11-23T01:32:32.0740439Z                 'obj_weakref': <weakref at 0x7f201e3e54e0; to 'Tensor' at 0x7f1fd9b778d0>
2022-11-23T01:32:32.0740690Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0740758Z             }
2022-11-23T01:32:32.0740827Z             
2022-11-23T01:32:32.0740902Z  - 
2022-11-23T01:32:32.0741038Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0741107Z             {
2022-11-23T01:32:32.0741242Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0741419Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0741543Z                 'obj_weakref': None
2022-11-23T01:32:32.0741774Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0741843Z             }
2022-11-23T01:32:32.0741911Z             
2022-11-23T01:32:32.0741989Z  - 
2022-11-23T01:32:32.0742108Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0742176Z             {
2022-11-23T01:32:32.0742317Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0742535Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0742657Z                 'obj_weakref': None
2022-11-23T01:32:32.0742878Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0749261Z             }
2022-11-23T01:32:32.0749352Z             
2022-11-23T01:32:32.0749437Z  - 
2022-11-23T01:32:32.0749579Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0749650Z             {
2022-11-23T01:32:32.0749778Z                 'guard_types': None,
2022-11-23T01:32:32.0749892Z                 'code': None,
2022-11-23T01:32:32.0750014Z                 'obj_weakref': None
2022-11-23T01:32:32.0750133Z                 'guarded_class': None
2022-11-23T01:32:32.0750204Z             }
2022-11-23T01:32:32.0750389Z             
2022-11-23T01:32:32.0750690Z [2022-11-23 01:30:15,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 685
2022-11-23T01:32:32.0751020Z [2022-11-23 01:30:15,277] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0751380Z [2022-11-23 01:30:15,410] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pp/cppb6kxa57s5johuc5s3yc2k7hfxcxgw43dn3zs5q4cvui4i3ctv.py
2022-11-23T01:32:32.0751653Z [2022-11-23 01:30:15,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 685
2022-11-23T01:32:32.0751895Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0752207Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0752422Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0752677Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0752981Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0753381Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0753724Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0754069Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0754440Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656> 
2022-11-23T01:32:32.0754546Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0754653Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:32.0754752Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0754841Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0754944Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0755052Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:32.0755154Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0755237Z               14 UNARY_NEGATIVE
2022-11-23T01:32:32.0755331Z               16 CALL_METHOD              1
2022-11-23T01:32:32.0755413Z               18 UNARY_INVERT
2022-11-23T01:32:32.0755502Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0755581Z               22 BINARY_AND
2022-11-23T01:32:32.0755679Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0755761Z               26 RETURN_VALUE
2022-11-23T01:32:32.0755827Z  
2022-11-23T01:32:32.0755832Z 
2022-11-23T01:32:32.0756147Z [2022-11-23 01:30:15,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657
2022-11-23T01:32:32.0756370Z [2022-11-23 01:30:15,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0756741Z [2022-11-23 01:30:15,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0757060Z [2022-11-23 01:30:15,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0757410Z [2022-11-23 01:30:15,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0757658Z [2022-11-23 01:30:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.0758045Z [2022-11-23 01:30:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0758392Z [2022-11-23 01:30:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.0758776Z [2022-11-23 01:30:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0759150Z [2022-11-23 01:30:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.0759425Z [2022-11-23 01:30:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0759690Z [2022-11-23 01:30:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0760037Z [2022-11-23 01:30:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0760328Z [2022-11-23 01:30:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0760569Z [2022-11-23 01:30:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0760949Z [2022-11-23 01:30:15,418] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eae4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656>
2022-11-23T01:32:32.0761195Z [2022-11-23 01:30:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0761435Z [2022-11-23 01:30:15,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0761690Z [2022-11-23 01:30:15,419] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0761947Z [2022-11-23 01:30:15,423] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0762145Z [2022-11-23 01:30:15,423] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0762287Z  __compiled_fn_703 <eval_with_key>.4341 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0762383Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0762619Z call_function, signbit, <built-in method signbit of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.0762791Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T01:32:32.0763024Z call_function, signbit_1, <built-in method signbit of type object at 0x7f209c394c60>, (neg,), {}
2022-11-23T01:32:32.0763216Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T01:32:32.0763397Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T01:32:32.0763511Z output, output, output, ((signbit, and_),), {}
2022-11-23T01:32:32.0763517Z 
2022-11-23T01:32:32.0763848Z [2022-11-23 01:30:15,424] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0763952Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0764050Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0764138Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0764239Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0764331Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0764425Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0764509Z              12 RETURN_VALUE
2022-11-23T01:32:32.0764514Z 
2022-11-23T01:32:32.0764581Z  
2022-11-23T01:32:32.0764904Z [2022-11-23 01:30:15,424] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0765014Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_703)
2022-11-23T01:32:32.0765115Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0765215Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0765298Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0765392Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0765504Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0765616Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0765712Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0765787Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0765895Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0765990Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0766072Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0766167Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0766247Z              26 RETURN_VALUE
2022-11-23T01:32:32.0766253Z 
2022-11-23T01:32:32.0766318Z  
2022-11-23T01:32:32.0766528Z [2022-11-23 01:30:15,424] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0766641Z  - 
2022-11-23T01:32:32.0766766Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0766835Z             {
2022-11-23T01:32:32.0766982Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0767183Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0767310Z                 'obj_weakref': None
2022-11-23T01:32:32.0767530Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0767598Z             }
2022-11-23T01:32:32.0767667Z             
2022-11-23T01:32:32.0767745Z  - 
2022-11-23T01:32:32.0767875Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0767946Z             {
2022-11-23T01:32:32.0768094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0768198Z                 'code': None,
2022-11-23T01:32:32.0768415Z                 'obj_weakref': <weakref at 0x7f20682ff880; to 'Tensor' at 0x7f20606e4db0>
2022-11-23T01:32:32.0768666Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0768736Z             }
2022-11-23T01:32:32.0768805Z             
2022-11-23T01:32:32.0768880Z  - 
2022-11-23T01:32:32.0769015Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0769076Z             {
2022-11-23T01:32:32.0769216Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0769391Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.0769516Z                 'obj_weakref': None
2022-11-23T01:32:32.0769749Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0769819Z             }
2022-11-23T01:32:32.0769887Z             
2022-11-23T01:32:32.0769955Z  - 
2022-11-23T01:32:32.0770081Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0770150Z             {
2022-11-23T01:32:32.0770295Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0770518Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0770640Z                 'obj_weakref': None
2022-11-23T01:32:32.0770862Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0770922Z             }
2022-11-23T01:32:32.0770992Z             
2022-11-23T01:32:32.0771067Z  - 
2022-11-23T01:32:32.0771206Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0771273Z             {
2022-11-23T01:32:32.0771400Z                 'guard_types': None,
2022-11-23T01:32:32.0771516Z                 'code': None,
2022-11-23T01:32:32.0771632Z                 'obj_weakref': None
2022-11-23T01:32:32.0771760Z                 'guarded_class': None
2022-11-23T01:32:32.0771828Z             }
2022-11-23T01:32:32.0771896Z             
2022-11-23T01:32:32.0772159Z [2022-11-23 01:30:15,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 686
2022-11-23T01:32:32.0772452Z [2022-11-23 01:30:15,439] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0772815Z [2022-11-23 01:30:15,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mk/cmkpajxrp43drzveqow5stjcvpp4vhofaksjfniv6tip3otlj6mh.py
2022-11-23T01:32:32.0773073Z [2022-11-23 01:30:15,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 686
2022-11-23T01:32:32.0773087Z 
2022-11-23T01:32:32.0773180Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0773253Z import torch
2022-11-23T01:32:32.0773330Z import random
2022-11-23T01:32:32.0773451Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0773577Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0773583Z 
2022-11-23T01:32:32.0773666Z aten = torch.ops.aten
2022-11-23T01:32:32.0773838Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0773952Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0773957Z 
2022-11-23T01:32:32.0774032Z import triton
2022-11-23T01:32:32.0774124Z import triton.language as tl
2022-11-23T01:32:32.0774253Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0774397Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0774403Z 
2022-11-23T01:32:32.0774408Z 
2022-11-23T01:32:32.0774635Z triton_fused_signbit_1_bitwise_not_signbit_neg_bitwise_and0 = async_compile.triton('''
2022-11-23T01:32:32.0774710Z import triton
2022-11-23T01:32:32.0774803Z import triton.language as tl
2022-11-23T01:32:32.0774911Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0775014Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0775150Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0775280Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0775288Z 
2022-11-23T01:32:32.0775669Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i1', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0775746Z @triton.jit
2022-11-23T01:32:32.0775893Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0775968Z     xnumel = 72
2022-11-23T01:32:32.0776061Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0776194Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0776277Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0776349Z     x0 = xindex
2022-11-23T01:32:32.0776447Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0776605Z     tmp1 = tl.libdevice.signbit(tmp0) if (tmp0).dtype is tl.float32 else tmp0 < 0
2022-11-23T01:32:32.0776707Z     tmp2 = -tmp0
2022-11-23T01:32:32.0776857Z     tmp3 = tl.libdevice.signbit(tmp2) if (tmp2).dtype is tl.float32 else tmp2 < 0
2022-11-23T01:32:32.0776941Z     tmp4 = tmp3 == 0
2022-11-23T01:32:32.0777028Z     tmp5 = tmp4.to(tl.int64)
2022-11-23T01:32:32.0777099Z     tmp6 = 1
2022-11-23T01:32:32.0777179Z     tmp7 = tmp5 & tmp6
2022-11-23T01:32:32.0777316Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0777453Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.0777532Z ''')
2022-11-23T01:32:32.0777537Z 
2022-11-23T01:32:32.0777549Z 
2022-11-23T01:32:32.0777636Z async_compile.wait(globals())
2022-11-23T01:32:32.0777714Z del async_compile
2022-11-23T01:32:32.0777719Z 
2022-11-23T01:32:32.0777794Z def call(args):
2022-11-23T01:32:32.0777868Z     arg0_1, = args
2022-11-23T01:32:32.0777947Z     args.clear()
2022-11-23T01:32:32.0778156Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.0778367Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0778451Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0778640Z     triton_fused_signbit_1_bitwise_not_signbit_neg_bitwise_and0.run(arg0_1, buf0, buf1, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:32.0778717Z     del arg0_1
2022-11-23T01:32:32.0779004Z     return (buf0, buf1, )
2022-11-23T01:32:32.0779011Z 
2022-11-23T01:32:32.0779015Z 
2022-11-23T01:32:32.0779099Z if __name__ == "__main__":
2022-11-23T01:32:32.0779218Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0779349Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0779570Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0779677Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0779682Z 
2022-11-23T01:32:32.0779693Z 
2022-11-23T01:32:32.0779785Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0779860Z import torch
2022-11-23T01:32:32.0779935Z import random
2022-11-23T01:32:32.0780105Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0780255Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0780261Z 
2022-11-23T01:32:32.0780342Z aten = torch.ops.aten
2022-11-23T01:32:32.0780482Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0780572Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0780577Z 
2022-11-23T01:32:32.0780652Z import triton
2022-11-23T01:32:32.0780745Z import triton.language as tl
2022-11-23T01:32:32.0780871Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0781012Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0781017Z 
2022-11-23T01:32:32.0781022Z 
2022-11-23T01:32:32.0781247Z triton_fused_signbit_1_neg_bitwise_not_signbit_bitwise_and0 = async_compile.triton('''
2022-11-23T01:32:32.0781322Z import triton
2022-11-23T01:32:32.0781415Z import triton.language as tl
2022-11-23T01:32:32.0781525Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0781631Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0781765Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0781891Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0781896Z 
2022-11-23T01:32:32.0782274Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp16', 1: '*i1', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0782348Z @triton.jit
2022-11-23T01:32:32.0782491Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0782565Z     xnumel = 72
2022-11-23T01:32:32.0782655Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0782788Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0782873Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0782945Z     x0 = xindex
2022-11-23T01:32:32.0783064Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0783222Z     tmp1 = tl.libdevice.signbit(tmp0) if (tmp0).dtype is tl.float32 else tmp0 < 0
2022-11-23T01:32:32.0783325Z     tmp2 = -tmp0
2022-11-23T01:32:32.0783469Z     tmp3 = tl.libdevice.signbit(tmp2) if (tmp2).dtype is tl.float32 else tmp2 < 0
2022-11-23T01:32:32.0783546Z     tmp4 = tmp3 == 0
2022-11-23T01:32:32.0783632Z     tmp5 = tmp4.to(tl.int64)
2022-11-23T01:32:32.0783703Z     tmp6 = 1
2022-11-23T01:32:32.0783781Z     tmp7 = tmp5 & tmp6
2022-11-23T01:32:32.0783917Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.0784055Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.0784133Z ''')
2022-11-23T01:32:32.0784139Z 
2022-11-23T01:32:32.0784144Z 
2022-11-23T01:32:32.0784238Z async_compile.wait(globals())
2022-11-23T01:32:32.0784315Z del async_compile
2022-11-23T01:32:32.0784320Z 
2022-11-23T01:32:32.0784394Z def call(args):
2022-11-23T01:32:32.0784471Z     arg0_1, = args
2022-11-23T01:32:32.0784549Z     args.clear()
2022-11-23T01:32:32.0784756Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.0784957Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.0785049Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0785233Z     triton_fused_signbit_1_neg_bitwise_not_signbit_bitwise_and0.run(arg0_1, buf0, buf1, 72, grid=grid(72), stream=stream0)
2022-11-23T01:32:32.0785305Z     del arg0_1
2022-11-23T01:32:32.0785387Z     return (buf0, buf1, )
2022-11-23T01:32:32.0785392Z 
2022-11-23T01:32:32.0785396Z 
2022-11-23T01:32:32.0785480Z if __name__ == "__main__":
2022-11-23T01:32:32.0785597Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0785726Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0785961Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0786074Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0786099Z 
2022-11-23T01:32:32.0786172Z ok (0.331s)
2022-11-23T01:32:32.0786473Z   test_silu_cuda (__main__.CudaTests) ... [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0786791Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0787011Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0787263Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0787544Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0787858Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0788199Z [2022-11-23 01:30:15,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0788513Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0788889Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036> 
2022-11-23T01:32:32.0788993Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0789092Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:32.0789203Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:32.0789305Z                6 LOAD_METHOD              3 (silu)
2022-11-23T01:32:32.0789403Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0789500Z               10 CALL_METHOD              1
2022-11-23T01:32:32.0789590Z               12 BUILD_TUPLE              1
2022-11-23T01:32:32.0789671Z               14 RETURN_VALUE
2022-11-23T01:32:32.0789738Z  
2022-11-23T01:32:32.0789743Z 
2022-11-23T01:32:32.0790053Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037
2022-11-23T01:32:32.0790348Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0790746Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0791122Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:32.0791514Z [2022-11-23 01:30:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:32.0791795Z [2022-11-23 01:30:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7f2073d57640>)]
2022-11-23T01:32:32.0792133Z [2022-11-23 01:30:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7f2073d57640>), TensorVariable()]
2022-11-23T01:32:32.0792390Z [2022-11-23 01:30:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0792634Z [2022-11-23 01:30:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0793028Z [2022-11-23 01:30:15,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036>
2022-11-23T01:32:32.0793292Z [2022-11-23 01:30:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0793525Z [2022-11-23 01:30:15,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0793778Z [2022-11-23 01:30:15,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0794032Z [2022-11-23 01:30:15,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0794223Z [2022-11-23 01:30:15,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0794363Z  __compiled_fn_704 <eval_with_key>.4347 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0794450Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0794584Z call_function, silu, <function silu at 0x7f2073d57640>, (ex_0_,), {}
2022-11-23T01:32:32.0794688Z output, output, output, ((silu,),), {}
2022-11-23T01:32:32.0794695Z 
2022-11-23T01:32:32.0795016Z [2022-11-23 01:30:15,589] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0795117Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0795213Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0795307Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0795406Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0795490Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0795583Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0795664Z              12 RETURN_VALUE
2022-11-23T01:32:32.0795669Z 
2022-11-23T01:32:32.0795734Z  
2022-11-23T01:32:32.0796050Z [2022-11-23 01:30:15,589] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0796167Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_704)
2022-11-23T01:32:32.0796266Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0796362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0796437Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0796530Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0796639Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0796749Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0796845Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0796929Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0797022Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0797097Z              20 RETURN_VALUE
2022-11-23T01:32:32.0797102Z 
2022-11-23T01:32:32.0797166Z  
2022-11-23T01:32:32.0797349Z [2022-11-23 01:30:15,590] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0797428Z  - 
2022-11-23T01:32:32.0797551Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0797622Z             {
2022-11-23T01:32:32.0797767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0797951Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0798074Z                 'obj_weakref': None
2022-11-23T01:32:32.0798297Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0798366Z             }
2022-11-23T01:32:32.0798434Z             
2022-11-23T01:32:32.0798509Z  - 
2022-11-23T01:32:32.0798638Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0798699Z             {
2022-11-23T01:32:32.0798845Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0798958Z                 'code': None,
2022-11-23T01:32:32.0799170Z                 'obj_weakref': <weakref at 0x7f1fd81a0f40; to 'Tensor' at 0x7f20682fe250>
2022-11-23T01:32:32.0799448Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0799545Z             }
2022-11-23T01:32:32.0799613Z             
2022-11-23T01:32:32.0799681Z  - 
2022-11-23T01:32:32.0799816Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0799884Z             {
2022-11-23T01:32:32.0800025Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0800199Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0800324Z                 'obj_weakref': None
2022-11-23T01:32:32.0800557Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0800618Z             }
2022-11-23T01:32:32.0800688Z             
2022-11-23T01:32:32.0800763Z  - 
2022-11-23T01:32:32.0800889Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0800959Z             {
2022-11-23T01:32:32.0801099Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0801319Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0801439Z                 'obj_weakref': None
2022-11-23T01:32:32.0801664Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0801732Z             }
2022-11-23T01:32:32.0801800Z             
2022-11-23T01:32:32.0801875Z  - 
2022-11-23T01:32:32.0802014Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0802082Z             {
2022-11-23T01:32:32.0802199Z                 'guard_types': None,
2022-11-23T01:32:32.0802311Z                 'code': None,
2022-11-23T01:32:32.0802432Z                 'obj_weakref': None
2022-11-23T01:32:32.0802559Z                 'guarded_class': None
2022-11-23T01:32:32.0802627Z             }
2022-11-23T01:32:32.0802694Z             
2022-11-23T01:32:32.0802958Z [2022-11-23 01:30:15,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 687
2022-11-23T01:32:32.0803203Z [2022-11-23 01:30:15,599] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0803562Z [2022-11-23 01:30:15,667] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d2/cd2mktx4k76y33mbeob5emxbeuxnbl6qy3kefqd37xejkw4ayebu.py
2022-11-23T01:32:32.0803830Z [2022-11-23 01:30:15,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 687
2022-11-23T01:32:32.0804071Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0804382Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0804605Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0804864Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0805146Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0805469Z [2022-11-23 01:30:15,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0805815Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0806130Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0806500Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036> 
2022-11-23T01:32:32.0806604Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0806742Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:32.0806870Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:32.0806970Z                6 LOAD_METHOD              3 (silu)
2022-11-23T01:32:32.0807067Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0807164Z               10 CALL_METHOD              1
2022-11-23T01:32:32.0807252Z               12 BUILD_TUPLE              1
2022-11-23T01:32:32.0807335Z               14 RETURN_VALUE
2022-11-23T01:32:32.0807399Z  
2022-11-23T01:32:32.0807404Z 
2022-11-23T01:32:32.0807722Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037
2022-11-23T01:32:32.0807945Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0808309Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0808686Z [2022-11-23 01:30:15,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:32.0809076Z [2022-11-23 01:30:15,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:32.0809361Z [2022-11-23 01:30:15,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7f2073d57640>)]
2022-11-23T01:32:32.0809674Z [2022-11-23 01:30:15,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7f2073d57640>), TensorVariable()]
2022-11-23T01:32:32.0809911Z [2022-11-23 01:30:15,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0810161Z [2022-11-23 01:30:15,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0810541Z [2022-11-23 01:30:15,675] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f203a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036>
2022-11-23T01:32:32.0810792Z [2022-11-23 01:30:15,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0811030Z [2022-11-23 01:30:15,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0811286Z [2022-11-23 01:30:15,676] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0811539Z [2022-11-23 01:30:15,680] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0811730Z [2022-11-23 01:30:15,680] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0811873Z  __compiled_fn_705 <eval_with_key>.4353 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0811963Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0812099Z call_function, silu, <function silu at 0x7f2073d57640>, (ex_0_,), {}
2022-11-23T01:32:32.0812200Z output, output, output, ((silu,),), {}
2022-11-23T01:32:32.0812205Z 
2022-11-23T01:32:32.0812524Z [2022-11-23 01:30:15,680] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0812625Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0812722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0812815Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0812918Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0813003Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0813097Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0813206Z              12 RETURN_VALUE
2022-11-23T01:32:32.0813230Z 
2022-11-23T01:32:32.0813296Z  
2022-11-23T01:32:32.0813611Z [2022-11-23 01:30:15,680] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0813727Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_705)
2022-11-23T01:32:32.0813824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0813922Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0813997Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0814091Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0814200Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0814308Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0814404Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0814485Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0814579Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0814654Z              20 RETURN_VALUE
2022-11-23T01:32:32.0814661Z 
2022-11-23T01:32:32.0814727Z  
2022-11-23T01:32:32.0814913Z [2022-11-23 01:30:15,681] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0814989Z  - 
2022-11-23T01:32:32.0815110Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0815179Z             {
2022-11-23T01:32:32.0815324Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0815506Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0815631Z                 'obj_weakref': None
2022-11-23T01:32:32.0815856Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0815925Z             }
2022-11-23T01:32:32.0815992Z             
2022-11-23T01:32:32.0816067Z  - 
2022-11-23T01:32:32.0816194Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0816255Z             {
2022-11-23T01:32:32.0816406Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0816518Z                 'code': None,
2022-11-23T01:32:32.0816728Z                 'obj_weakref': <weakref at 0x7f2151f01940; to 'Tensor' at 0x7f201e3d4310>
2022-11-23T01:32:32.0816976Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0817045Z             }
2022-11-23T01:32:32.0817113Z             
2022-11-23T01:32:32.0817180Z  - 
2022-11-23T01:32:32.0817315Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0817384Z             {
2022-11-23T01:32:32.0817521Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0817696Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0817818Z                 'obj_weakref': None
2022-11-23T01:32:32.0818044Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0818106Z             }
2022-11-23T01:32:32.0818177Z             
2022-11-23T01:32:32.0818253Z  - 
2022-11-23T01:32:32.0818382Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0818450Z             {
2022-11-23T01:32:32.0818589Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0818990Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0819109Z                 'obj_weakref': None
2022-11-23T01:32:32.0819330Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0819400Z             }
2022-11-23T01:32:32.0819468Z             
2022-11-23T01:32:32.0819543Z  - 
2022-11-23T01:32:32.0819680Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0819749Z             {
2022-11-23T01:32:32.0819865Z                 'guard_types': None,
2022-11-23T01:32:32.0819976Z                 'code': None,
2022-11-23T01:32:32.0820097Z                 'obj_weakref': None
2022-11-23T01:32:32.0820272Z                 'guarded_class': None
2022-11-23T01:32:32.0820341Z             }
2022-11-23T01:32:32.0820437Z             
2022-11-23T01:32:32.0820697Z [2022-11-23 01:30:15,688] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 688
2022-11-23T01:32:32.0820937Z [2022-11-23 01:30:15,693] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0821293Z [2022-11-23 01:30:15,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f2/cf2geaba7k5p53eli2gxwbz4lnnkbklcymwpidclvhgrsw342tk6.py
2022-11-23T01:32:32.0821556Z [2022-11-23 01:30:15,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 688
2022-11-23T01:32:32.0821562Z 
2022-11-23T01:32:32.0821659Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0821732Z import torch
2022-11-23T01:32:32.0821806Z import random
2022-11-23T01:32:32.0821926Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0822058Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0822063Z 
2022-11-23T01:32:32.0822140Z aten = torch.ops.aten
2022-11-23T01:32:32.0822279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0822376Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0822381Z 
2022-11-23T01:32:32.0822455Z import triton
2022-11-23T01:32:32.0822547Z import triton.language as tl
2022-11-23T01:32:32.0822675Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0822817Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0822822Z 
2022-11-23T01:32:32.0822826Z 
2022-11-23T01:32:32.0822993Z triton_fused_mul_sigmoid0 = async_compile.triton('''
2022-11-23T01:32:32.0823060Z import triton
2022-11-23T01:32:32.0823153Z import triton.language as tl
2022-11-23T01:32:32.0823268Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0823369Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0823508Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0823635Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0823643Z 
2022-11-23T01:32:32.0824014Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0824088Z @triton.jit
2022-11-23T01:32:32.0824217Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0824294Z     xnumel = 64
2022-11-23T01:32:32.0824394Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0824526Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0824610Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0824682Z     x0 = xindex
2022-11-23T01:32:32.0824779Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0824857Z     tmp1 = tl.sigmoid(tmp0)
2022-11-23T01:32:32.0824936Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.0825073Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0825160Z ''')
2022-11-23T01:32:32.0825166Z 
2022-11-23T01:32:32.0825170Z 
2022-11-23T01:32:32.0825263Z async_compile.wait(globals())
2022-11-23T01:32:32.0825339Z del async_compile
2022-11-23T01:32:32.0825344Z 
2022-11-23T01:32:32.0825419Z def call(args):
2022-11-23T01:32:32.0825492Z     arg0_1, = args
2022-11-23T01:32:32.0825561Z     args.clear()
2022-11-23T01:32:32.0825759Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0825850Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0825999Z     triton_fused_mul_sigmoid0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0826072Z     del arg0_1
2022-11-23T01:32:32.0826149Z     return (buf0, )
2022-11-23T01:32:32.0826154Z 
2022-11-23T01:32:32.0826159Z 
2022-11-23T01:32:32.0826239Z if __name__ == "__main__":
2022-11-23T01:32:32.0826350Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0826508Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0826727Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0826839Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0826844Z 
2022-11-23T01:32:32.0826849Z 
2022-11-23T01:32:32.0826947Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0827021Z import torch
2022-11-23T01:32:32.0827096Z import random
2022-11-23T01:32:32.0827216Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0827334Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0827339Z 
2022-11-23T01:32:32.0827422Z aten = torch.ops.aten
2022-11-23T01:32:32.0827561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0827657Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0827662Z 
2022-11-23T01:32:32.0827735Z import triton
2022-11-23T01:32:32.0827828Z import triton.language as tl
2022-11-23T01:32:32.0827956Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0828093Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0828106Z 
2022-11-23T01:32:32.0828111Z 
2022-11-23T01:32:32.0828302Z triton_fused__to_copy_1__to_copy_sigmoid_mul0 = async_compile.triton('''
2022-11-23T01:32:32.0828377Z import triton
2022-11-23T01:32:32.0828471Z import triton.language as tl
2022-11-23T01:32:32.0828586Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0828689Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0828822Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0828948Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0828953Z 
2022-11-23T01:32:32.0829316Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0829382Z @triton.jit
2022-11-23T01:32:32.0829518Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0829597Z     xnumel = 64
2022-11-23T01:32:32.0829694Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0829823Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0829907Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0829978Z     x0 = xindex
2022-11-23T01:32:32.0830088Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0830178Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.0830329Z     tmp2 = tl.sigmoid(tmp1)
2022-11-23T01:32:32.0830423Z     tmp3 = tmp1 * tmp2
2022-11-23T01:32:32.0830520Z     tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:32.0830654Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.0830741Z ''')
2022-11-23T01:32:32.0830746Z 
2022-11-23T01:32:32.0830751Z 
2022-11-23T01:32:32.0830836Z async_compile.wait(globals())
2022-11-23T01:32:32.0830916Z del async_compile
2022-11-23T01:32:32.0830923Z 
2022-11-23T01:32:32.0830998Z def call(args):
2022-11-23T01:32:32.0831075Z     arg0_1, = args
2022-11-23T01:32:32.0831151Z     args.clear()
2022-11-23T01:32:32.0831346Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0831439Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0831606Z     triton_fused__to_copy_1__to_copy_sigmoid_mul0.run(arg0_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.0831671Z     del arg0_1
2022-11-23T01:32:32.0831749Z     return (buf0, )
2022-11-23T01:32:32.0831754Z 
2022-11-23T01:32:32.0831758Z 
2022-11-23T01:32:32.0831839Z if __name__ == "__main__":
2022-11-23T01:32:32.0831959Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0832088Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0832284Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0832395Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0832448Z 
2022-11-23T01:32:32.0832525Z ok (0.190s)
2022-11-23T01:32:32.0832844Z   test_simplify_dims (__main__.CudaTests) ... [2022-11-23 01:30:15,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0833156Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0833377Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0833630Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0833908Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0834223Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0834566Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0834887Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0835255Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e6afa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4983> 
2022-11-23T01:32:32.0835354Z  4984           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0835445Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0835524Z                4 BINARY_ADD
2022-11-23T01:32:32.0835620Z                6 BUILD_TUPLE              1
2022-11-23T01:32:32.0835702Z                8 RETURN_VALUE
2022-11-23T01:32:32.0835768Z  
2022-11-23T01:32:32.0835773Z 
2022-11-23T01:32:32.0836085Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4984
2022-11-23T01:32:32.0836302Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.0836541Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.0836813Z [2022-11-23 01:30:15,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0837052Z [2022-11-23 01:30:15,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0837297Z [2022-11-23 01:30:15,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0837670Z [2022-11-23 01:30:15,774] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e6afa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4983>
2022-11-23T01:32:32.0837917Z [2022-11-23 01:30:15,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0838151Z [2022-11-23 01:30:15,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0838403Z [2022-11-23 01:30:15,774] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0838651Z [2022-11-23 01:30:15,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0838845Z [2022-11-23 01:30:15,777] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0838979Z  __compiled_fn_706 <eval_with_key>.4359 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0839073Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0839249Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0839350Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.0839381Z 
2022-11-23T01:32:32.0839711Z [2022-11-23 01:30:15,777] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0839834Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0839931Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0840024Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0840116Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0840210Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0840303Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0840385Z              12 RETURN_VALUE
2022-11-23T01:32:32.0840390Z 
2022-11-23T01:32:32.0840460Z  
2022-11-23T01:32:32.0840777Z [2022-11-23 01:30:15,778] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0840896Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_706)
2022-11-23T01:32:32.0840994Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0841083Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0841165Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0841259Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0841373Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0841483Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0841580Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0841661Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0841747Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0841828Z              20 RETURN_VALUE
2022-11-23T01:32:32.0841834Z 
2022-11-23T01:32:32.0841899Z  
2022-11-23T01:32:32.0842085Z [2022-11-23 01:30:15,778] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0842160Z  - 
2022-11-23T01:32:32.0842282Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0842355Z             {
2022-11-23T01:32:32.0842494Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0842685Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0842808Z                 'obj_weakref': None
2022-11-23T01:32:32.0843033Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0843102Z             }
2022-11-23T01:32:32.0843170Z             
2022-11-23T01:32:32.0843245Z  - 
2022-11-23T01:32:32.0843365Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0843434Z             {
2022-11-23T01:32:32.0843579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0843691Z                 'code': None,
2022-11-23T01:32:32.0843903Z                 'obj_weakref': <weakref at 0x7f20233b00e0; to 'Tensor' at 0x7f20606e4db0>
2022-11-23T01:32:32.0844153Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0844221Z             }
2022-11-23T01:32:32.0844285Z             
2022-11-23T01:32:32.0844359Z  - 
2022-11-23T01:32:32.0844493Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0844564Z             {
2022-11-23T01:32:32.0844703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0844877Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0845002Z                 'obj_weakref': None
2022-11-23T01:32:32.0845225Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0845294Z             }
2022-11-23T01:32:32.0845361Z             
2022-11-23T01:32:32.0845436Z  - 
2022-11-23T01:32:32.0845561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0845629Z             {
2022-11-23T01:32:32.0845768Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0846007Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0846148Z                 'obj_weakref': None
2022-11-23T01:32:32.0846371Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0846439Z             }
2022-11-23T01:32:32.0846506Z             
2022-11-23T01:32:32.0846764Z [2022-11-23 01:30:15,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 689
2022-11-23T01:32:32.0847012Z [2022-11-23 01:30:15,798] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0847368Z [2022-11-23 01:30:15,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vy/cvyvxm7lv6y5m5ntymjbdhcwu7jtsr4ksbj3as3dwpbbe3rcqevo.py
2022-11-23T01:32:32.0847624Z [2022-11-23 01:30:15,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 689
2022-11-23T01:32:32.0847862Z [2022-11-23 01:30:15,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0848174Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0848395Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0848646Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0848923Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0849237Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0849577Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0849896Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0850270Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e6afa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4983> 
2022-11-23T01:32:32.0850363Z  4984           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0850463Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.0850545Z                4 BINARY_ADD
2022-11-23T01:32:32.0850640Z                6 BUILD_TUPLE              1
2022-11-23T01:32:32.0850723Z                8 RETURN_VALUE
2022-11-23T01:32:32.0850789Z  
2022-11-23T01:32:32.0850794Z 
2022-11-23T01:32:32.0851104Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4984
2022-11-23T01:32:32.0851319Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.0851558Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.0851843Z [2022-11-23 01:30:15,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0852090Z [2022-11-23 01:30:15,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.0852362Z [2022-11-23 01:30:15,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0852752Z [2022-11-23 01:30:15,881] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e6afa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4983>
2022-11-23T01:32:32.0852999Z [2022-11-23 01:30:15,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0853270Z [2022-11-23 01:30:15,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0853545Z [2022-11-23 01:30:15,882] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0853797Z [2022-11-23 01:30:15,884] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0853979Z [2022-11-23 01:30:15,884] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0854122Z  __compiled_fn_707 <eval_with_key>.4365 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0854217Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0854393Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0854493Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.0854498Z 
2022-11-23T01:32:32.0854818Z [2022-11-23 01:30:15,885] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0854921Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0855020Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0855105Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0855204Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0855295Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0855389Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0855471Z              12 RETURN_VALUE
2022-11-23T01:32:32.0855476Z 
2022-11-23T01:32:32.0855541Z  
2022-11-23T01:32:32.0855854Z [2022-11-23 01:30:15,885] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0855970Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_707)
2022-11-23T01:32:32.0856059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0856155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0856240Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0856335Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0856452Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0856563Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0856659Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0856733Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0856827Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.0856907Z              20 RETURN_VALUE
2022-11-23T01:32:32.0856913Z 
2022-11-23T01:32:32.0856977Z  
2022-11-23T01:32:32.0857164Z [2022-11-23 01:30:15,885] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0857239Z  - 
2022-11-23T01:32:32.0857363Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0857424Z             {
2022-11-23T01:32:32.0857568Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0857759Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0857881Z                 'obj_weakref': None
2022-11-23T01:32:32.0858107Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0858176Z             }
2022-11-23T01:32:32.0858243Z             
2022-11-23T01:32:32.0858311Z  - 
2022-11-23T01:32:32.0858438Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0858506Z             {
2022-11-23T01:32:32.0858654Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0858765Z                 'code': None,
2022-11-23T01:32:32.0859171Z                 'obj_weakref': <weakref at 0x7f2068051c60; to 'Tensor' at 0x7f1fead73010>
2022-11-23T01:32:32.0859420Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0859490Z             }
2022-11-23T01:32:32.0859552Z             
2022-11-23T01:32:32.0859629Z  - 
2022-11-23T01:32:32.0859764Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0859885Z             {
2022-11-23T01:32:32.0860050Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0860223Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0860340Z                 'obj_weakref': None
2022-11-23T01:32:32.0860569Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0860637Z             }
2022-11-23T01:32:32.0860706Z             
2022-11-23T01:32:32.0860780Z  - 
2022-11-23T01:32:32.0860905Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0860974Z             {
2022-11-23T01:32:32.0861107Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0861326Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0861449Z                 'obj_weakref': None
2022-11-23T01:32:32.0861670Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0861740Z             }
2022-11-23T01:32:32.0861809Z             
2022-11-23T01:32:32.0862067Z [2022-11-23 01:30:15,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 690
2022-11-23T01:32:32.0862315Z [2022-11-23 01:30:15,895] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0862664Z [2022-11-23 01:30:15,965] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zt/czt42c5wyqndvmnc65ipjh44uqjc3grtqlmjgkejuduntkaihcd3.py
2022-11-23T01:32:32.0862928Z [2022-11-23 01:30:15,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 690
2022-11-23T01:32:32.0862935Z 
2022-11-23T01:32:32.0863035Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0863109Z import torch
2022-11-23T01:32:32.0863183Z import random
2022-11-23T01:32:32.0863304Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0863431Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0863437Z 
2022-11-23T01:32:32.0863525Z aten = torch.ops.aten
2022-11-23T01:32:32.0863657Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0863755Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0863760Z 
2022-11-23T01:32:32.0863834Z import triton
2022-11-23T01:32:32.0863927Z import triton.language as tl
2022-11-23T01:32:32.0864056Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0864201Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0864206Z 
2022-11-23T01:32:32.0864211Z 
2022-11-23T01:32:32.0864365Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.0864439Z import triton
2022-11-23T01:32:32.0864524Z import triton.language as tl
2022-11-23T01:32:32.0864638Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0864740Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0864875Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0865003Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0865010Z 
2022-11-23T01:32:32.0865384Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0865456Z @triton.jit
2022-11-23T01:32:32.0865593Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0865661Z     xnumel = 720
2022-11-23T01:32:32.0865758Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0865888Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0865973Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0866049Z     x0 = xindex % 30
2022-11-23T01:32:32.0866131Z     x1 = (xindex // 30) % 4
2022-11-23T01:32:32.0866213Z     x2 = (xindex // 120)
2022-11-23T01:32:32.0866277Z     x3 = xindex
2022-11-23T01:32:32.0866425Z     tmp0 = tl.load(in_ptr0 + (x0 + (60*x1) + (300*x2)), xmask)
2022-11-23T01:32:32.0866498Z     tmp1 = 1
2022-11-23T01:32:32.0866600Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.0866743Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0866831Z ''')
2022-11-23T01:32:32.0866836Z 
2022-11-23T01:32:32.0866840Z 
2022-11-23T01:32:32.0866934Z async_compile.wait(globals())
2022-11-23T01:32:32.0867004Z del async_compile
2022-11-23T01:32:32.0867009Z 
2022-11-23T01:32:32.0867083Z def call(args):
2022-11-23T01:32:32.0867158Z     arg0_1, = args
2022-11-23T01:32:32.0867234Z     args.clear()
2022-11-23T01:32:32.0867458Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0867549Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0867687Z     triton_fused_add0.run(arg0_1, buf0, 720, grid=grid(720), stream=stream0)
2022-11-23T01:32:32.0867753Z     del arg0_1
2022-11-23T01:32:32.0867828Z     return (buf0, )
2022-11-23T01:32:32.0867833Z 
2022-11-23T01:32:32.0867840Z 
2022-11-23T01:32:32.0867920Z if __name__ == "__main__":
2022-11-23T01:32:32.0868042Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0868169Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0868394Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (900, 300, 60, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0868507Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0868512Z 
2022-11-23T01:32:32.0868516Z 
2022-11-23T01:32:32.0868615Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0868689Z import torch
2022-11-23T01:32:32.0868757Z import random
2022-11-23T01:32:32.0868880Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0869005Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0869010Z 
2022-11-23T01:32:32.0869095Z aten = torch.ops.aten
2022-11-23T01:32:32.0869233Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0869332Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0869338Z 
2022-11-23T01:32:32.0869417Z import triton
2022-11-23T01:32:32.0869503Z import triton.language as tl
2022-11-23T01:32:32.0869629Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0869770Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0869776Z 
2022-11-23T01:32:32.0869780Z 
2022-11-23T01:32:32.0869933Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.0870007Z import triton
2022-11-23T01:32:32.0870099Z import triton.language as tl
2022-11-23T01:32:32.0870214Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0870402Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0870547Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0870677Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0870682Z 
2022-11-23T01:32:32.0871059Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.0871136Z @triton.jit
2022-11-23T01:32:32.0871270Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0871343Z     xnumel = 720
2022-11-23T01:32:32.0871440Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0871571Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0871648Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0871725Z     x0 = xindex % 30
2022-11-23T01:32:32.0871808Z     x1 = (xindex // 30) % 4
2022-11-23T01:32:32.0871888Z     x2 = (xindex // 120)
2022-11-23T01:32:32.0871963Z     x3 = xindex
2022-11-23T01:32:32.0872096Z     tmp0 = tl.load(in_ptr0 + (x0 + (60*x1) + (300*x2)), xmask).to(tl.float32)
2022-11-23T01:32:32.0872160Z     tmp1 = 1
2022-11-23T01:32:32.0872239Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.0872374Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0872512Z ''')
2022-11-23T01:32:32.0872537Z 
2022-11-23T01:32:32.0872541Z 
2022-11-23T01:32:32.0872639Z async_compile.wait(globals())
2022-11-23T01:32:32.0872717Z del async_compile
2022-11-23T01:32:32.0872722Z 
2022-11-23T01:32:32.0872797Z def call(args):
2022-11-23T01:32:32.0872873Z     arg0_1, = args
2022-11-23T01:32:32.0872941Z     args.clear()
2022-11-23T01:32:32.0873165Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0873257Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0873393Z     triton_fused_add0.run(arg0_1, buf0, 720, grid=grid(720), stream=stream0)
2022-11-23T01:32:32.0873466Z     del arg0_1
2022-11-23T01:32:32.0873542Z     return (buf0, )
2022-11-23T01:32:32.0873547Z 
2022-11-23T01:32:32.0873552Z 
2022-11-23T01:32:32.0873633Z if __name__ == "__main__":
2022-11-23T01:32:32.0873753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0873876Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0874096Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (900, 300, 60, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0874211Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0874216Z 
2022-11-23T01:32:32.0874287Z ok (0.198s)
2022-11-23T01:32:32.0874602Z   test_simplify_loops_cuda (__main__.CudaTests) ... [2022-11-23 01:30:15,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0874917Z [2022-11-23 01:30:15,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0875137Z [2022-11-23 01:30:15,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0875391Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0875662Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0875979Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0876315Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0876631Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0876996Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281> 
2022-11-23T01:32:32.0877098Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0877195Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.0877278Z                4 BINARY_ADD
2022-11-23T01:32:32.0877360Z                6 RETURN_VALUE
2022-11-23T01:32:32.0877421Z  
2022-11-23T01:32:32.0877435Z 
2022-11-23T01:32:32.0877739Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282
2022-11-23T01:32:32.0877953Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.0878191Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.0878462Z [2022-11-23 01:30:15,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0878710Z [2022-11-23 01:30:15,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0879107Z [2022-11-23 01:30:15,971] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281>
2022-11-23T01:32:32.0879376Z [2022-11-23 01:30:15,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0879610Z [2022-11-23 01:30:15,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0879863Z [2022-11-23 01:30:15,972] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0880103Z [2022-11-23 01:30:15,974] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0880294Z [2022-11-23 01:30:15,975] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0880434Z  __compiled_fn_708 <eval_with_key>.4371 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0880529Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0880622Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0880802Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.0880903Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.0880910Z 
2022-11-23T01:32:32.0881234Z [2022-11-23 01:30:15,975] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0881327Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0881425Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0881518Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0881617Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0881711Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0881805Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0881886Z              12 RETURN_VALUE
2022-11-23T01:32:32.0881891Z 
2022-11-23T01:32:32.0881957Z  
2022-11-23T01:32:32.0882268Z [2022-11-23 01:30:15,975] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0882388Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_708)
2022-11-23T01:32:32.0882485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0882580Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0882661Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0882755Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0882849Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0882922Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0883017Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0883113Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0883194Z              18 RETURN_VALUE
2022-11-23T01:32:32.0883199Z 
2022-11-23T01:32:32.0883263Z  
2022-11-23T01:32:32.0883449Z [2022-11-23 01:30:15,976] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0883525Z  - 
2022-11-23T01:32:32.0883641Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0883712Z             {
2022-11-23T01:32:32.0883861Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0884050Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.0884174Z                 'obj_weakref': None
2022-11-23T01:32:32.0884398Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0884467Z             }
2022-11-23T01:32:32.0884528Z             
2022-11-23T01:32:32.0884606Z  - 
2022-11-23T01:32:32.0884734Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0884802Z             {
2022-11-23T01:32:32.0884949Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0885061Z                 'code': None,
2022-11-23T01:32:32.0885274Z                 'obj_weakref': <weakref at 0x7f1fd81a0f40; to 'Tensor' at 0x7f201e6e2110>
2022-11-23T01:32:32.0885548Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0885618Z             }
2022-11-23T01:32:32.0885707Z             
2022-11-23T01:32:32.0885784Z  - 
2022-11-23T01:32:32.0885911Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0885980Z             {
2022-11-23T01:32:32.0886128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0886231Z                 'code': None,
2022-11-23T01:32:32.0886444Z                 'obj_weakref': <weakref at 0x7f1ff8152b60; to 'Tensor' at 0x7f1fead73010>
2022-11-23T01:32:32.0886690Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0886759Z             }
2022-11-23T01:32:32.0886831Z             
2022-11-23T01:32:32.0886905Z  - 
2022-11-23T01:32:32.0887037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0887098Z             {
2022-11-23T01:32:32.0887239Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0887415Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0887539Z                 'obj_weakref': None
2022-11-23T01:32:32.0887772Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0887842Z             }
2022-11-23T01:32:32.0887910Z             
2022-11-23T01:32:32.0887978Z  - 
2022-11-23T01:32:32.0888105Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0888173Z             {
2022-11-23T01:32:32.0888315Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0888532Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0888656Z                 'obj_weakref': None
2022-11-23T01:32:32.0888881Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0888942Z             }
2022-11-23T01:32:32.0889011Z             
2022-11-23T01:32:32.0889273Z [2022-11-23 01:30:15,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 691
2022-11-23T01:32:32.0889523Z [2022-11-23 01:30:15,993] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0889876Z [2022-11-23 01:30:16,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jo/cjod3rgihy24l4u2f7rh7afxandyjxi7bk3h4jjoh52rfi6ox4rq.py
2022-11-23T01:32:32.0890137Z [2022-11-23 01:30:16,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 691
2022-11-23T01:32:32.0890375Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0890688Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0890909Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0891155Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0891437Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0891751Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0892089Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0892406Z [2022-11-23 01:30:16,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0892770Z [2022-11-23 01:30:16,070] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281> 
2022-11-23T01:32:32.0892899Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.0893017Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.0893097Z                4 BINARY_ADD
2022-11-23T01:32:32.0893171Z                6 RETURN_VALUE
2022-11-23T01:32:32.0893237Z  
2022-11-23T01:32:32.0893243Z 
2022-11-23T01:32:32.0893555Z [2022-11-23 01:30:16,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282
2022-11-23T01:32:32.0893768Z [2022-11-23 01:30:16,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.0894007Z [2022-11-23 01:30:16,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.0894277Z [2022-11-23 01:30:16,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0894522Z [2022-11-23 01:30:16,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0894890Z [2022-11-23 01:30:16,071] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281>
2022-11-23T01:32:32.0895137Z [2022-11-23 01:30:16,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0895371Z [2022-11-23 01:30:16,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0895617Z [2022-11-23 01:30:16,072] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0895871Z [2022-11-23 01:30:16,074] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0896062Z [2022-11-23 01:30:16,074] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0896203Z  __compiled_fn_709 <eval_with_key>.4377 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0896298Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0896391Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.0896574Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.0896675Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.0896680Z 
2022-11-23T01:32:32.0896995Z [2022-11-23 01:30:16,075] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0897095Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0897191Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0897284Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0897383Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0897474Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0897568Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0897650Z              12 RETURN_VALUE
2022-11-23T01:32:32.0897655Z 
2022-11-23T01:32:32.0897717Z  
2022-11-23T01:32:32.0898032Z [2022-11-23 01:30:16,075] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0898150Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_709)
2022-11-23T01:32:32.0898246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0898342Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0898424Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0898519Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0898605Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0898686Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.0898779Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.0899075Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0899155Z              18 RETURN_VALUE
2022-11-23T01:32:32.0899160Z 
2022-11-23T01:32:32.0899225Z  
2022-11-23T01:32:32.0899473Z [2022-11-23 01:30:16,075] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0899566Z  - 
2022-11-23T01:32:32.0899691Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0899761Z             {
2022-11-23T01:32:32.0899906Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0900098Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.0900221Z                 'obj_weakref': None
2022-11-23T01:32:32.0900444Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0900513Z             }
2022-11-23T01:32:32.0900574Z             
2022-11-23T01:32:32.0900649Z  - 
2022-11-23T01:32:32.0900776Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0900846Z             {
2022-11-23T01:32:32.0900991Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0901103Z                 'code': None,
2022-11-23T01:32:32.0901309Z                 'obj_weakref': <weakref at 0x7f2068207970; to 'Tensor' at 0x7f1ff81446d0>
2022-11-23T01:32:32.0901559Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0901629Z             }
2022-11-23T01:32:32.0901697Z             
2022-11-23T01:32:32.0901773Z  - 
2022-11-23T01:32:32.0901902Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.0901970Z             {
2022-11-23T01:32:32.0902111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0902223Z                 'code': None,
2022-11-23T01:32:32.0902431Z                 'obj_weakref': <weakref at 0x7f20682079c0; to 'Tensor' at 0x7f2068052d40>
2022-11-23T01:32:32.0902678Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0902747Z             }
2022-11-23T01:32:32.0902814Z             
2022-11-23T01:32:32.0902889Z  - 
2022-11-23T01:32:32.0903018Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0903089Z             {
2022-11-23T01:32:32.0903228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0903406Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0903528Z                 'obj_weakref': None
2022-11-23T01:32:32.0903754Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0903823Z             }
2022-11-23T01:32:32.0903884Z             
2022-11-23T01:32:32.0903958Z  - 
2022-11-23T01:32:32.0904085Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0904153Z             {
2022-11-23T01:32:32.0904292Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0904506Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0904627Z                 'obj_weakref': None
2022-11-23T01:32:32.0904849Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0904913Z             }
2022-11-23T01:32:32.0904981Z             
2022-11-23T01:32:32.0905244Z [2022-11-23 01:30:16,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 692
2022-11-23T01:32:32.0905493Z [2022-11-23 01:30:16,085] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0905848Z [2022-11-23 01:30:16,158] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7ermfae4sj53pe5qpim5d56ntn4tl2q7d2g3mypvgu2cji4okc.py
2022-11-23T01:32:32.0906113Z [2022-11-23 01:30:16,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 692
2022-11-23T01:32:32.0906118Z 
2022-11-23T01:32:32.0906217Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0906292Z import torch
2022-11-23T01:32:32.0906359Z import random
2022-11-23T01:32:32.0906482Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0906607Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0906642Z 
2022-11-23T01:32:32.0906726Z aten = torch.ops.aten
2022-11-23T01:32:32.0906885Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0906983Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0906988Z 
2022-11-23T01:32:32.0907062Z import triton
2022-11-23T01:32:32.0907148Z import triton.language as tl
2022-11-23T01:32:32.0907275Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0907418Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0907423Z 
2022-11-23T01:32:32.0907428Z 
2022-11-23T01:32:32.0907582Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.0907659Z import triton
2022-11-23T01:32:32.0907751Z import triton.language as tl
2022-11-23T01:32:32.0907864Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0907967Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0908094Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0908225Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0908232Z 
2022-11-23T01:32:32.0908621Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0908694Z @triton.jit
2022-11-23T01:32:32.0908838Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0908912Z     xnumel = 720
2022-11-23T01:32:32.0909011Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0909142Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0909218Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0909290Z     x3 = xindex
2022-11-23T01:32:32.0909366Z     x0 = xindex % 30
2022-11-23T01:32:32.0909449Z     x1 = (xindex // 30) % 4
2022-11-23T01:32:32.0909530Z     x2 = (xindex // 120)
2022-11-23T01:32:32.0909629Z     tmp0 = tl.load(in_ptr0 + (x3), xmask)
2022-11-23T01:32:32.0909747Z     tmp1 = tl.load(in_ptr1 + (x0 + (30*x2) + (180*x1)), xmask)
2022-11-23T01:32:32.0909822Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.0909956Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0910042Z ''')
2022-11-23T01:32:32.0910047Z 
2022-11-23T01:32:32.0910052Z 
2022-11-23T01:32:32.0910145Z async_compile.wait(globals())
2022-11-23T01:32:32.0910225Z del async_compile
2022-11-23T01:32:32.0910230Z 
2022-11-23T01:32:32.0910392Z def call(args):
2022-11-23T01:32:32.0910490Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0910558Z     args.clear()
2022-11-23T01:32:32.0910787Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0910880Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0911025Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 720, grid=grid(720), stream=stream0)
2022-11-23T01:32:32.0911098Z     del arg0_1
2022-11-23T01:32:32.0911170Z     del arg1_1
2022-11-23T01:32:32.0911249Z     return (buf0, )
2022-11-23T01:32:32.0911256Z 
2022-11-23T01:32:32.0911261Z 
2022-11-23T01:32:32.0911341Z if __name__ == "__main__":
2022-11-23T01:32:32.0911452Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0911584Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0911809Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0912027Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0912161Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0912168Z 
2022-11-23T01:32:32.0912173Z 
2022-11-23T01:32:32.0912286Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0912376Z import torch
2022-11-23T01:32:32.0912462Z import random
2022-11-23T01:32:32.0912574Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0912699Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0912735Z 
2022-11-23T01:32:32.0912837Z aten = torch.ops.aten
2022-11-23T01:32:32.0912976Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0913071Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0913076Z 
2022-11-23T01:32:32.0913150Z import triton
2022-11-23T01:32:32.0913243Z import triton.language as tl
2022-11-23T01:32:32.0913362Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0913505Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0913511Z 
2022-11-23T01:32:32.0913515Z 
2022-11-23T01:32:32.0913668Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.0913748Z import triton
2022-11-23T01:32:32.0913840Z import triton.language as tl
2022-11-23T01:32:32.0913952Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0914054Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0914188Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0914309Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0914317Z 
2022-11-23T01:32:32.0914706Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0914780Z @triton.jit
2022-11-23T01:32:32.0914926Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0915001Z     xnumel = 720
2022-11-23T01:32:32.0915098Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0915229Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0915314Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0915379Z     x3 = xindex
2022-11-23T01:32:32.0915454Z     x0 = xindex % 30
2022-11-23T01:32:32.0915538Z     x1 = (xindex // 30) % 4
2022-11-23T01:32:32.0915619Z     x2 = (xindex // 120)
2022-11-23T01:32:32.0915742Z     tmp0 = tl.load(in_ptr0 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:32.0915876Z     tmp1 = tl.load(in_ptr1 + (x0 + (30*x2) + (180*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.0915955Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.0916085Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.0916173Z ''')
2022-11-23T01:32:32.0916178Z 
2022-11-23T01:32:32.0916183Z 
2022-11-23T01:32:32.0916276Z async_compile.wait(globals())
2022-11-23T01:32:32.0916352Z del async_compile
2022-11-23T01:32:32.0916358Z 
2022-11-23T01:32:32.0916432Z def call(args):
2022-11-23T01:32:32.0916510Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.0916585Z     args.clear()
2022-11-23T01:32:32.0916805Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0916889Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0917033Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 720, grid=grid(720), stream=stream0)
2022-11-23T01:32:32.0917106Z     del arg0_1
2022-11-23T01:32:32.0917179Z     del arg1_1
2022-11-23T01:32:32.0917258Z     return (buf0, )
2022-11-23T01:32:32.0917263Z 
2022-11-23T01:32:32.0917268Z 
2022-11-23T01:32:32.0917350Z if __name__ == "__main__":
2022-11-23T01:32:32.0917468Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0917589Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0917810Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0918028Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0918147Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.0918152Z 
2022-11-23T01:32:32.0918223Z ok (0.193s)
2022-11-23T01:32:32.0918523Z   test_sin_cuda (__main__.CudaTests) ... [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0918875Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0919115Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0919369Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0919636Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0919949Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0920290Z [2022-11-23 01:30:16,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0920608Z [2022-11-23 01:30:16,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0920978Z [2022-11-23 01:30:16,163] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143> 
2022-11-23T01:32:32.0921080Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0921183Z                2 LOAD_METHOD              1 (sin)
2022-11-23T01:32:32.0921281Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0921374Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0921462Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.0921540Z               10 BINARY_ADD
2022-11-23T01:32:32.0921640Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0921738Z               14 LOAD_METHOD              1 (sin)
2022-11-23T01:32:32.0921832Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0921928Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0922005Z               20 BINARY_ADD
2022-11-23T01:32:32.0922097Z               22 CALL_METHOD              1
2022-11-23T01:32:32.0922191Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0922273Z               26 RETURN_VALUE
2022-11-23T01:32:32.0922339Z  
2022-11-23T01:32:32.0922344Z 
2022-11-23T01:32:32.0922658Z [2022-11-23 01:30:16,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144
2022-11-23T01:32:32.0922876Z [2022-11-23 01:30:16,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0923173Z [2022-11-23 01:30:16,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0923426Z [2022-11-23 01:30:16,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T01:32:32.0923709Z [2022-11-23 01:30:16,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0923941Z [2022-11-23 01:30:16,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.0924219Z [2022-11-23 01:30:16,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0924464Z [2022-11-23 01:30:16,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.0924788Z [2022-11-23 01:30:16,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0925059Z [2022-11-23 01:30:16,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T01:32:32.0925390Z [2022-11-23 01:30:16,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0925737Z [2022-11-23 01:30:16,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0926060Z [2022-11-23 01:30:16,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0926325Z [2022-11-23 01:30:16,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0926571Z [2022-11-23 01:30:16,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0926932Z [2022-11-23 01:30:16,178] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143>
2022-11-23T01:32:32.0927182Z [2022-11-23 01:30:16,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0927421Z [2022-11-23 01:30:16,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0927677Z [2022-11-23 01:30:16,179] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0927929Z [2022-11-23 01:30:16,182] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0928121Z [2022-11-23 01:30:16,182] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0928261Z  __compiled_fn_710 <eval_with_key>.4383 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0928355Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0928461Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T01:32:32.0928628Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T01:32:32.0928808Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0928919Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T01:32:32.0929032Z output, output, output, ((add, sin_1),), {}
2022-11-23T01:32:32.0929041Z 
2022-11-23T01:32:32.0929363Z [2022-11-23 01:30:16,182] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0929463Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0929560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0929651Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0929743Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0929834Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0929930Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0930012Z              12 RETURN_VALUE
2022-11-23T01:32:32.0930017Z 
2022-11-23T01:32:32.0930082Z  
2022-11-23T01:32:32.0930399Z [2022-11-23 01:30:16,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0930519Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_710)
2022-11-23T01:32:32.0930607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0930704Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0930786Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0930880Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0930990Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0931098Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0931193Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0931276Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0931377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0931473Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0931555Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0931648Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0931757Z              26 RETURN_VALUE
2022-11-23T01:32:32.0931780Z 
2022-11-23T01:32:32.0931850Z  
2022-11-23T01:32:32.0932037Z [2022-11-23 01:30:16,183] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0932105Z  - 
2022-11-23T01:32:32.0932229Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0932299Z             {
2022-11-23T01:32:32.0932444Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0932632Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0932755Z                 'obj_weakref': None
2022-11-23T01:32:32.0932981Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0933043Z             }
2022-11-23T01:32:32.0933112Z             
2022-11-23T01:32:32.0933188Z  - 
2022-11-23T01:32:32.0933319Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0933388Z             {
2022-11-23T01:32:32.0933539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0933650Z                 'code': None,
2022-11-23T01:32:32.0933858Z                 'obj_weakref': <weakref at 0x7f1fead93420; to 'Tensor' at 0x7f1ffad32ed0>
2022-11-23T01:32:32.0934108Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0934179Z             }
2022-11-23T01:32:32.0934250Z             
2022-11-23T01:32:32.0934326Z  - 
2022-11-23T01:32:32.0934461Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0934530Z             {
2022-11-23T01:32:32.0934661Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0934835Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0934959Z                 'obj_weakref': None
2022-11-23T01:32:32.0935187Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0935257Z             }
2022-11-23T01:32:32.0935328Z             
2022-11-23T01:32:32.0935404Z  - 
2022-11-23T01:32:32.0935524Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0935593Z             {
2022-11-23T01:32:32.0935732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0935946Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0936070Z                 'obj_weakref': None
2022-11-23T01:32:32.0936292Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0936360Z             }
2022-11-23T01:32:32.0936420Z             
2022-11-23T01:32:32.0936496Z  - 
2022-11-23T01:32:32.0936629Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0936697Z             {
2022-11-23T01:32:32.0936820Z                 'guard_types': None,
2022-11-23T01:32:32.0936930Z                 'code': None,
2022-11-23T01:32:32.0937051Z                 'obj_weakref': None
2022-11-23T01:32:32.0937171Z                 'guarded_class': None
2022-11-23T01:32:32.0937240Z             }
2022-11-23T01:32:32.0937310Z             
2022-11-23T01:32:32.0937569Z [2022-11-23 01:30:16,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 693
2022-11-23T01:32:32.0937860Z [2022-11-23 01:30:16,196] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0938220Z [2022-11-23 01:30:16,263] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/we/cweite6qxujys7izlknw4z2opgt5pupr65vunved4y2etb5o2qpr.py
2022-11-23T01:32:32.0938485Z [2022-11-23 01:30:16,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 693
2022-11-23T01:32:32.0938723Z [2022-11-23 01:30:16,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0939267Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0939492Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0939772Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0940051Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0940363Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0940699Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0941022Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0941392Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143> 
2022-11-23T01:32:32.0941499Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0941599Z                2 LOAD_METHOD              1 (sin)
2022-11-23T01:32:32.0941690Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0941785Z                6 CALL_METHOD              1
2022-11-23T01:32:32.0941881Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.0941960Z               10 BINARY_ADD
2022-11-23T01:32:32.0942060Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.0942158Z               14 LOAD_METHOD              1 (sin)
2022-11-23T01:32:32.0942256Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0942343Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0942420Z               20 BINARY_ADD
2022-11-23T01:32:32.0942516Z               22 CALL_METHOD              1
2022-11-23T01:32:32.0942613Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.0942699Z               26 RETURN_VALUE
2022-11-23T01:32:32.0942781Z  
2022-11-23T01:32:32.0942788Z 
2022-11-23T01:32:32.0943128Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144
2022-11-23T01:32:32.0943349Z [2022-11-23 01:30:16,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.0943640Z [2022-11-23 01:30:16,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0943888Z [2022-11-23 01:30:16,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T01:32:32.0944167Z [2022-11-23 01:30:16,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0944406Z [2022-11-23 01:30:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.0944686Z [2022-11-23 01:30:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0944928Z [2022-11-23 01:30:16,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.0945250Z [2022-11-23 01:30:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.0945522Z [2022-11-23 01:30:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T01:32:32.0945821Z [2022-11-23 01:30:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0946201Z [2022-11-23 01:30:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0946522Z [2022-11-23 01:30:16,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:32.0946789Z [2022-11-23 01:30:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.0947034Z [2022-11-23 01:30:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0947407Z [2022-11-23 01:30:16,282] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143>
2022-11-23T01:32:32.0947652Z [2022-11-23 01:30:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.0947887Z [2022-11-23 01:30:16,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0948143Z [2022-11-23 01:30:16,283] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0948397Z [2022-11-23 01:30:16,287] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0948591Z [2022-11-23 01:30:16,287] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0948724Z  __compiled_fn_711 <eval_with_key>.4389 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0948818Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0948925Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T01:32:32.0949100Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T01:32:32.0949279Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.0949407Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T01:32:32.0949551Z output, output, output, ((add, sin_1),), {}
2022-11-23T01:32:32.0949563Z 
2022-11-23T01:32:32.0949978Z [2022-11-23 01:30:16,287] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0950079Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0950183Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0950346Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0950459Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0950551Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0950646Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0950728Z              12 RETURN_VALUE
2022-11-23T01:32:32.0950734Z 
2022-11-23T01:32:32.0950799Z  
2022-11-23T01:32:32.0951110Z [2022-11-23 01:30:16,287] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0951230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_711)
2022-11-23T01:32:32.0951328Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0951426Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0951508Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0951601Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0951711Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.0951813Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0951909Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0951992Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.0952101Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.0952194Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0952277Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.0952369Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.0952442Z              26 RETURN_VALUE
2022-11-23T01:32:32.0952456Z 
2022-11-23T01:32:32.0952557Z  
2022-11-23T01:32:32.0952745Z [2022-11-23 01:30:16,288] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0952840Z  - 
2022-11-23T01:32:32.0952965Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0953034Z             {
2022-11-23T01:32:32.0953181Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0953363Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0953487Z                 'obj_weakref': None
2022-11-23T01:32:32.0953713Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0953782Z             }
2022-11-23T01:32:32.0953850Z             
2022-11-23T01:32:32.0953929Z  - 
2022-11-23T01:32:32.0954055Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0954117Z             {
2022-11-23T01:32:32.0954264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0954374Z                 'code': None,
2022-11-23T01:32:32.0954590Z                 'obj_weakref': <weakref at 0x7f1fd9b16890; to 'Tensor' at 0x7f20231434c0>
2022-11-23T01:32:32.0954841Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0954911Z             }
2022-11-23T01:32:32.0954980Z             
2022-11-23T01:32:32.0955056Z  - 
2022-11-23T01:32:32.0955183Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0955251Z             {
2022-11-23T01:32:32.0955388Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0955563Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0955686Z                 'obj_weakref': None
2022-11-23T01:32:32.0955917Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0955986Z             }
2022-11-23T01:32:32.0956047Z             
2022-11-23T01:32:32.0956120Z  - 
2022-11-23T01:32:32.0956252Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0956321Z             {
2022-11-23T01:32:32.0956466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0956683Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0956807Z                 'obj_weakref': None
2022-11-23T01:32:32.0957021Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0957091Z             }
2022-11-23T01:32:32.0957158Z             
2022-11-23T01:32:32.0957233Z  - 
2022-11-23T01:32:32.0957371Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.0957438Z             {
2022-11-23T01:32:32.0957556Z                 'guard_types': None,
2022-11-23T01:32:32.0957667Z                 'code': None,
2022-11-23T01:32:32.0957790Z                 'obj_weakref': None
2022-11-23T01:32:32.0957918Z                 'guarded_class': None
2022-11-23T01:32:32.0957989Z             }
2022-11-23T01:32:32.0958057Z             
2022-11-23T01:32:32.0958322Z [2022-11-23 01:30:16,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 694
2022-11-23T01:32:32.0958603Z [2022-11-23 01:30:16,301] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.0958966Z [2022-11-23 01:30:16,369] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ja/cjazwry5rgdynvohlxwektw6zggtembosmtuq3bsz6upbvzsobfh.py
2022-11-23T01:32:32.0959228Z [2022-11-23 01:30:16,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 694
2022-11-23T01:32:32.0959234Z 
2022-11-23T01:32:32.0959333Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0959408Z import torch
2022-11-23T01:32:32.0959483Z import random
2022-11-23T01:32:32.0959603Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0959730Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0959735Z 
2022-11-23T01:32:32.0959849Z aten = torch.ops.aten
2022-11-23T01:32:32.0959982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0960115Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0960120Z 
2022-11-23T01:32:32.0960195Z import triton
2022-11-23T01:32:32.0960289Z import triton.language as tl
2022-11-23T01:32:32.0960414Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0960556Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0960562Z 
2022-11-23T01:32:32.0960566Z 
2022-11-23T01:32:32.0960749Z triton_fused_sin_1_add_1_sin_add0 = async_compile.triton('''
2022-11-23T01:32:32.0960824Z import triton
2022-11-23T01:32:32.0960909Z import triton.language as tl
2022-11-23T01:32:32.0961027Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0961131Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0961265Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0961394Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0961400Z 
2022-11-23T01:32:32.0961788Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0961862Z @triton.jit
2022-11-23T01:32:32.0962007Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0962076Z     xnumel = 256
2022-11-23T01:32:32.0962174Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0962307Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0962391Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0962463Z     x0 = xindex
2022-11-23T01:32:32.0962561Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.0962641Z     tmp1 = tl.sin(tmp0)
2022-11-23T01:32:32.0962705Z     tmp2 = 2
2022-11-23T01:32:32.0962785Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.0962855Z     tmp4 = 1
2022-11-23T01:32:32.0962937Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:32.0963019Z     tmp6 = tl.sin(tmp5)
2022-11-23T01:32:32.0963160Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.0963289Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.0963375Z ''')
2022-11-23T01:32:32.0963380Z 
2022-11-23T01:32:32.0963385Z 
2022-11-23T01:32:32.0963478Z async_compile.wait(globals())
2022-11-23T01:32:32.0963555Z del async_compile
2022-11-23T01:32:32.0963560Z 
2022-11-23T01:32:32.0963635Z def call(args):
2022-11-23T01:32:32.0963707Z     arg0_1, = args
2022-11-23T01:32:32.0963784Z     args.clear()
2022-11-23T01:32:32.0963986Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0964177Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0964268Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0964430Z     triton_fused_sin_1_add_1_sin_add0.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:32.0964506Z     del arg0_1
2022-11-23T01:32:32.0964590Z     return (buf0, buf1, )
2022-11-23T01:32:32.0964596Z 
2022-11-23T01:32:32.0964600Z 
2022-11-23T01:32:32.0964681Z if __name__ == "__main__":
2022-11-23T01:32:32.0964801Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0964928Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0965122Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.0965234Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0965239Z 
2022-11-23T01:32:32.0965244Z 
2022-11-23T01:32:32.0965345Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.0965420Z import torch
2022-11-23T01:32:32.0965495Z import random
2022-11-23T01:32:32.0965615Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.0965739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.0965774Z 
2022-11-23T01:32:32.0965859Z aten = torch.ops.aten
2022-11-23T01:32:32.0966011Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.0966112Z async_compile = AsyncCompile()
2022-11-23T01:32:32.0966117Z 
2022-11-23T01:32:32.0966195Z import triton
2022-11-23T01:32:32.0966288Z import triton.language as tl
2022-11-23T01:32:32.0966413Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.0966560Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.0966565Z 
2022-11-23T01:32:32.0966570Z 
2022-11-23T01:32:32.0966752Z triton_fused_add_1_sin_add_sin_10 = async_compile.triton('''
2022-11-23T01:32:32.0966827Z import triton
2022-11-23T01:32:32.0966912Z import triton.language as tl
2022-11-23T01:32:32.0967026Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.0967132Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.0967266Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.0967395Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.0967402Z 
2022-11-23T01:32:32.0967783Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.0967856Z @triton.jit
2022-11-23T01:32:32.0967998Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.0968067Z     xnumel = 256
2022-11-23T01:32:32.0968164Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.0968296Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.0968380Z     xmask = xindex < xnumel
2022-11-23T01:32:32.0968452Z     x0 = xindex
2022-11-23T01:32:32.0968571Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.0968651Z     tmp1 = tl.sin(tmp0)
2022-11-23T01:32:32.0968716Z     tmp2 = 2
2022-11-23T01:32:32.0968795Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.0968868Z     tmp4 = 1
2022-11-23T01:32:32.0968950Z     tmp5 = tmp0 + tmp4
2022-11-23T01:32:32.0969029Z     tmp6 = tl.sin(tmp5)
2022-11-23T01:32:32.0969166Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.0969294Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.0969382Z ''')
2022-11-23T01:32:32.0969387Z 
2022-11-23T01:32:32.0969392Z 
2022-11-23T01:32:32.0969486Z async_compile.wait(globals())
2022-11-23T01:32:32.0969563Z del async_compile
2022-11-23T01:32:32.0969568Z 
2022-11-23T01:32:32.0969645Z def call(args):
2022-11-23T01:32:32.0969718Z     arg0_1, = args
2022-11-23T01:32:32.0969797Z     args.clear()
2022-11-23T01:32:32.0969996Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0970187Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0970280Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.0970439Z     triton_fused_add_1_sin_add_sin_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:32.0970516Z     del arg0_1
2022-11-23T01:32:32.0970599Z     return (buf0, buf1, )
2022-11-23T01:32:32.0970604Z 
2022-11-23T01:32:32.0970608Z 
2022-11-23T01:32:32.0970688Z if __name__ == "__main__":
2022-11-23T01:32:32.0970810Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.0970936Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.0971129Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.0971243Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.0971248Z 
2022-11-23T01:32:32.0971318Z ok (0.210s)
2022-11-23T01:32:32.0971633Z   test_sizehint_issue1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0971977Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0972236Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0972490Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0972766Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0973084Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0973414Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0973735Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0974114Z [2022-11-23 01:30:16,374] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498> 
2022-11-23T01:32:32.0974219Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0974318Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:32.0974426Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:32.0974525Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T01:32:32.0974530Z 
2022-11-23T01:32:32.0974628Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0974724Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0974812Z               12 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0974908Z               14 BUILD_LIST               2
2022-11-23T01:32:32.0975002Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0975098Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:32.0975193Z               20 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0975286Z               22 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0975379Z               24 BUILD_LIST               2
2022-11-23T01:32:32.0975384Z 
2022-11-23T01:32:32.0975591Z 4499          26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T01:32:32.0975690Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:32.0975772Z               30 RETURN_VALUE
2022-11-23T01:32:32.0975838Z  
2022-11-23T01:32:32.0975843Z 
2022-11-23T01:32:32.0976154Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:32.0976374Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0976730Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0977104Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:32.0977494Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:32.0977800Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500
2022-11-23T01:32:32.0978079Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7f2073bc5120>)]
2022-11-23T01:32:32.0978416Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable()]
2022-11-23T01:32:32.0978914Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0979297Z [2022-11-23 01:30:16,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0979628Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.0979992Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.0980390Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0980823Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0981288Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.0981597Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:32.0982096Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:32.0982611Z [2022-11-23 01:30:16,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.0982858Z [2022-11-23 01:30:16,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0983234Z [2022-11-23 01:30:16,384] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498>
2022-11-23T01:32:32.0983480Z [2022-11-23 01:30:16,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.0983708Z [2022-11-23 01:30:16,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.0983962Z [2022-11-23 01:30:16,385] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.0984211Z [2022-11-23 01:30:16,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.0984402Z [2022-11-23 01:30:16,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.0984542Z  __compiled_fn_712 <eval_with_key>.4395 opcode, name, target, args, kwargs
2022-11-23T01:32:32.0984636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.0984920Z call_function, unfold, <function unfold at 0x7f2073bc5120>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T01:32:32.0985026Z output, output, output, ((unfold,),), {}
2022-11-23T01:32:32.0985031Z 
2022-11-23T01:32:32.0985401Z [2022-11-23 01:30:16,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0985523Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.0985621Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0985715Z               4 BUILD_MAP                0
2022-11-23T01:32:32.0985817Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.0985911Z               8 DICT_MERGE               1
2022-11-23T01:32:32.0986004Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.0986089Z              12 RETURN_VALUE
2022-11-23T01:32:32.0986094Z 
2022-11-23T01:32:32.0986152Z  
2022-11-23T01:32:32.0986468Z [2022-11-23 01:30:16,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.0986585Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_712)
2022-11-23T01:32:32.0986684Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.0986782Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.0986868Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.0986961Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.0987056Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.0987129Z              12 RETURN_VALUE
2022-11-23T01:32:32.0987134Z 
2022-11-23T01:32:32.0987199Z  
2022-11-23T01:32:32.0987388Z [2022-11-23 01:30:16,394] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.0987465Z  - 
2022-11-23T01:32:32.0987588Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.0987656Z             {
2022-11-23T01:32:32.0987802Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.0987983Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.0988107Z                 'obj_weakref': None
2022-11-23T01:32:32.0988331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.0988403Z             }
2022-11-23T01:32:32.0988474Z             
2022-11-23T01:32:32.0988552Z  - 
2022-11-23T01:32:32.0988679Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.0988741Z             {
2022-11-23T01:32:32.0988890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.0989000Z                 'code': None,
2022-11-23T01:32:32.0989209Z                 'obj_weakref': <weakref at 0x7f1ff81527a0; to 'Tensor' at 0x7f2151f03c90>
2022-11-23T01:32:32.0989458Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.0989528Z             }
2022-11-23T01:32:32.0989598Z             
2022-11-23T01:32:32.0989666Z  - 
2022-11-23T01:32:32.0989803Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.0989870Z             {
2022-11-23T01:32:32.0990010Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.0990186Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.0990423Z                 'obj_weakref': None
2022-11-23T01:32:32.0990657Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.0990718Z             }
2022-11-23T01:32:32.0990787Z             
2022-11-23T01:32:32.0990864Z  - 
2022-11-23T01:32:32.0990990Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.0991058Z             {
2022-11-23T01:32:32.0991200Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.0991413Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.0991527Z                 'obj_weakref': None
2022-11-23T01:32:32.0991749Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.0991817Z             }
2022-11-23T01:32:32.0991885Z             
2022-11-23T01:32:32.0991959Z  - 
2022-11-23T01:32:32.0992100Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.0992211Z             {
2022-11-23T01:32:32.0992347Z                 'guard_types': None,
2022-11-23T01:32:32.0992459Z                 'code': None,
2022-11-23T01:32:32.0992584Z                 'obj_weakref': None
2022-11-23T01:32:32.0992710Z                 'guarded_class': None
2022-11-23T01:32:32.0992779Z             }
2022-11-23T01:32:32.0992849Z             
2022-11-23T01:32:32.0993107Z [2022-11-23 01:30:16,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 695
2022-11-23T01:32:32.0993347Z [2022-11-23 01:30:16,447] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.0993707Z [2022-11-23 01:30:16,540] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7q/c7qahmox3nhkfitroiukq6wnb4keguenclz4e5hesscqfpltnp32.py
2022-11-23T01:32:32.0993968Z [2022-11-23 01:30:16,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 695
2022-11-23T01:32:32.0994206Z [2022-11-23 01:30:16,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.0994520Z [2022-11-23 01:30:16,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.0994738Z [2022-11-23 01:30:16,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.0994989Z [2022-11-23 01:30:16,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.0995264Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.0995580Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0995920Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0996234Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.0996611Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498> 
2022-11-23T01:32:32.0996714Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.0996813Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:32.0996922Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:32.0997023Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T01:32:32.0997028Z 
2022-11-23T01:32:32.0997124Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.0997221Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0997311Z               12 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0997405Z               14 BUILD_LIST               2
2022-11-23T01:32:32.0997502Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:32.0997596Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:32.0997692Z               20 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0997785Z               22 LOAD_CONST               1 (4)
2022-11-23T01:32:32.0997877Z               24 BUILD_LIST               2
2022-11-23T01:32:32.0997882Z 
2022-11-23T01:32:32.0998099Z 4499          26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T01:32:32.0998191Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:32.0998273Z               30 RETURN_VALUE
2022-11-23T01:32:32.0998339Z  
2022-11-23T01:32:32.0998344Z 
2022-11-23T01:32:32.0998653Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:32.0998903Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.0999278Z [2022-11-23 01:30:16,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.0999651Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:32.1000042Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:32.1000350Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500
2022-11-23T01:32:32.1000637Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7f2073bc5120>)]
2022-11-23T01:32:32.1000943Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable()]
2022-11-23T01:32:32.1001285Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1001658Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1001988Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.1002356Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1002754Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1003188Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1003652Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1003964Z [2022-11-23 01:30:16,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:32:32.1004456Z [2022-11-23 01:30:16,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:32.1004923Z [2022-11-23 01:30:16,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7f2073bc5120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.1005168Z [2022-11-23 01:30:16,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1005566Z [2022-11-23 01:30:16,554] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e689d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498>
2022-11-23T01:32:32.1005833Z [2022-11-23 01:30:16,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1006069Z [2022-11-23 01:30:16,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1006315Z [2022-11-23 01:30:16,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1006563Z [2022-11-23 01:30:16,564] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1006757Z [2022-11-23 01:30:16,564] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1006898Z  __compiled_fn_713 <eval_with_key>.4401 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1006993Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1007279Z call_function, unfold, <function unfold at 0x7f2073bc5120>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T01:32:32.1007388Z output, output, output, ((unfold,),), {}
2022-11-23T01:32:32.1007396Z 
2022-11-23T01:32:32.1007721Z [2022-11-23 01:30:16,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1007822Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1007914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1008010Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1008113Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1008205Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1008299Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1008380Z              12 RETURN_VALUE
2022-11-23T01:32:32.1008386Z 
2022-11-23T01:32:32.1008452Z  
2022-11-23T01:32:32.1008766Z [2022-11-23 01:30:16,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1008886Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_713)
2022-11-23T01:32:32.1008986Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1009082Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1009166Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1009262Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1009357Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.1009431Z              12 RETURN_VALUE
2022-11-23T01:32:32.1009444Z 
2022-11-23T01:32:32.1009502Z  
2022-11-23T01:32:32.1009690Z [2022-11-23 01:30:16,565] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1009765Z  - 
2022-11-23T01:32:32.1009892Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1009963Z             {
2022-11-23T01:32:32.1010111Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1010295Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1010422Z                 'obj_weakref': None
2022-11-23T01:32:32.1010652Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1010723Z             }
2022-11-23T01:32:32.1010793Z             
2022-11-23T01:32:32.1010869Z  - 
2022-11-23T01:32:32.1010997Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1011058Z             {
2022-11-23T01:32:32.1011204Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1011320Z                 'code': None,
2022-11-23T01:32:32.1011534Z                 'obj_weakref': <weakref at 0x7f1ff8153650; to 'Tensor' at 0x7f1ff81dac50>
2022-11-23T01:32:32.1011782Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1011851Z             }
2022-11-23T01:32:32.1011919Z             
2022-11-23T01:32:32.1011986Z  - 
2022-11-23T01:32:32.1012120Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1012218Z             {
2022-11-23T01:32:32.1012364Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1012571Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1012716Z                 'obj_weakref': None
2022-11-23T01:32:32.1012971Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1013040Z             }
2022-11-23T01:32:32.1013101Z             
2022-11-23T01:32:32.1013175Z  - 
2022-11-23T01:32:32.1013301Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1013369Z             {
2022-11-23T01:32:32.1013509Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1013726Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1013841Z                 'obj_weakref': None
2022-11-23T01:32:32.1014066Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1014138Z             }
2022-11-23T01:32:32.1014209Z             
2022-11-23T01:32:32.1014284Z  - 
2022-11-23T01:32:32.1014421Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1014489Z             {
2022-11-23T01:32:32.1014606Z                 'guard_types': None,
2022-11-23T01:32:32.1014717Z                 'code': None,
2022-11-23T01:32:32.1014838Z                 'obj_weakref': None
2022-11-23T01:32:32.1014963Z                 'guarded_class': None
2022-11-23T01:32:32.1015030Z             }
2022-11-23T01:32:32.1015098Z             
2022-11-23T01:32:32.1015357Z [2022-11-23 01:30:16,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 696
2022-11-23T01:32:32.1015599Z [2022-11-23 01:30:16,637] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.1015954Z [2022-11-23 01:30:16,739] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e4/ce4xqmdz6hp3mlkupi5cnl3qun4kwgp4jdjbpi2umo25r544cvs2.py
2022-11-23T01:32:32.1016221Z [2022-11-23 01:30:16,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 696
2022-11-23T01:32:32.1016229Z 
2022-11-23T01:32:32.1016328Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1016401Z import torch
2022-11-23T01:32:32.1016476Z import random
2022-11-23T01:32:32.1016598Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1016724Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1016730Z 
2022-11-23T01:32:32.1016813Z aten = torch.ops.aten
2022-11-23T01:32:32.1016945Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1017043Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1017049Z 
2022-11-23T01:32:32.1017124Z import triton
2022-11-23T01:32:32.1017218Z import triton.language as tl
2022-11-23T01:32:32.1017344Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1017487Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1017495Z 
2022-11-23T01:32:32.1017501Z 
2022-11-23T01:32:32.1017711Z triton_fused_index_slice_1_clone_permute_slice_20 = async_compile.triton('''
2022-11-23T01:32:32.1017786Z import triton
2022-11-23T01:32:32.1017872Z import triton.language as tl
2022-11-23T01:32:32.1017987Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1018091Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1018225Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1018353Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1018358Z 
2022-11-23T01:32:32.1018736Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1018924Z @triton.jit
2022-11-23T01:32:32.1019054Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1019174Z     xnumel = 150528
2022-11-23T01:32:32.1019275Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1019433Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1019517Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1019602Z     x1 = (xindex // 14) % 14
2022-11-23T01:32:32.1019684Z     x3 = (xindex // 784) % 4
2022-11-23T01:32:32.1019754Z     x0 = xindex % 14
2022-11-23T01:32:32.1019834Z     x2 = (xindex // 196) % 4
2022-11-23T01:32:32.1019911Z     x4 = (xindex // 3136)
2022-11-23T01:32:32.1019982Z     x8 = xindex
2022-11-23T01:32:32.1020058Z     tmp0 = 4*x1
2022-11-23T01:32:32.1020129Z     tmp1 = x3
2022-11-23T01:32:32.1020211Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1020277Z     tmp3 = 4*x0
2022-11-23T01:32:32.1020349Z     tmp4 = x2
2022-11-23T01:32:32.1020428Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.1020584Z     tmp6 = tl.load(in_ptr0 + (tmp5 + (56*tmp2) + (3136*x4) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.1020724Z     tl.store(out_ptr0 + (x8 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.1020816Z ''')
2022-11-23T01:32:32.1020821Z 
2022-11-23T01:32:32.1020826Z 
2022-11-23T01:32:32.1020921Z async_compile.wait(globals())
2022-11-23T01:32:32.1020991Z del async_compile
2022-11-23T01:32:32.1021006Z 
2022-11-23T01:32:32.1021075Z def call(args):
2022-11-23T01:32:32.1021149Z     arg0_1, = args
2022-11-23T01:32:32.1021228Z     args.clear()
2022-11-23T01:32:32.1021471Z     buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1021562Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1021736Z     triton_fused_index_slice_1_clone_permute_slice_20.run(arg0_1, buf0, 150528, grid=grid(150528), stream=stream0)
2022-11-23T01:32:32.1021809Z     del arg0_1
2022-11-23T01:32:32.1021915Z     return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), )
2022-11-23T01:32:32.1021920Z 
2022-11-23T01:32:32.1021931Z 
2022-11-23T01:32:32.1022005Z if __name__ == "__main__":
2022-11-23T01:32:32.1022125Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1022258Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1022483Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1022597Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1022602Z 
2022-11-23T01:32:32.1022606Z 
2022-11-23T01:32:32.1022706Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1022784Z import torch
2022-11-23T01:32:32.1022853Z import random
2022-11-23T01:32:32.1022973Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1023103Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1023108Z 
2022-11-23T01:32:32.1023192Z aten = torch.ops.aten
2022-11-23T01:32:32.1023336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1023434Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1023439Z 
2022-11-23T01:32:32.1023517Z import triton
2022-11-23T01:32:32.1023610Z import triton.language as tl
2022-11-23T01:32:32.1023732Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1023872Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1023878Z 
2022-11-23T01:32:32.1023882Z 
2022-11-23T01:32:32.1024141Z triton_fused__unsafe_view_permute__to_copy_1_slice_1_index_slice_2_clone__to_copy0 = async_compile.triton('''
2022-11-23T01:32:32.1024217Z import triton
2022-11-23T01:32:32.1024313Z import triton.language as tl
2022-11-23T01:32:32.1024430Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1024534Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1024667Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1024787Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1024792Z 
2022-11-23T01:32:32.1025187Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1025281Z @triton.jit
2022-11-23T01:32:32.1025418Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1025495Z     xnumel = 150528
2022-11-23T01:32:32.1025594Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1025726Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1025811Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1025883Z     x0 = xindex % 196
2022-11-23T01:32:32.1025967Z     x1 = (xindex // 196) % 384
2022-11-23T01:32:32.1026051Z     x2 = (xindex // 75264)
2022-11-23T01:32:32.1026123Z     x4 = xindex
2022-11-23T01:32:32.1026201Z     tmp0 = 4*(x0 // 14)
2022-11-23T01:32:32.1026281Z     tmp1 = (x1 // 4) % 4
2022-11-23T01:32:32.1026355Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1026432Z     tmp3 = 4*(x0 % 14)
2022-11-23T01:32:32.1026506Z     tmp4 = x1 % 4
2022-11-23T01:32:32.1026592Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.1026771Z     tmp6 = tl.load(in_ptr0 + (tmp5 + (56*tmp2) + (3136*(x1 // 16)) + (75264*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.1026862Z     tmp7 = tmp6.to(tl.float32)
2022-11-23T01:32:32.1026949Z     tmp8 = tmp7.to(tl.float32)
2022-11-23T01:32:32.1027080Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.1027171Z ''')
2022-11-23T01:32:32.1027176Z 
2022-11-23T01:32:32.1027180Z 
2022-11-23T01:32:32.1027275Z async_compile.wait(globals())
2022-11-23T01:32:32.1027353Z del async_compile
2022-11-23T01:32:32.1027358Z 
2022-11-23T01:32:32.1027433Z def call(args):
2022-11-23T01:32:32.1027507Z     arg0_1, = args
2022-11-23T01:32:32.1027586Z     args.clear()
2022-11-23T01:32:32.1027804Z     buf0 = empty_strided((2, 384, 196), (75264, 196, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1027889Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1028093Z     triton_fused__unsafe_view_permute__to_copy_1_slice_1_index_slice_2_clone__to_copy0.run(arg0_1, buf0, 150528, grid=grid(150528), stream=stream0)
2022-11-23T01:32:32.1028171Z     del arg0_1
2022-11-23T01:32:32.1028247Z     return (buf0, )
2022-11-23T01:32:32.1028252Z 
2022-11-23T01:32:32.1028256Z 
2022-11-23T01:32:32.1028337Z if __name__ == "__main__":
2022-11-23T01:32:32.1028457Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1028585Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1028812Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1028919Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1028924Z 
2022-11-23T01:32:32.1028999Z ok (0.370s)
2022-11-23T01:32:32.1029306Z   test_slice1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1029630Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1029859Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1030117Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1030487Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1030846Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1031226Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1031582Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1031967Z [2022-11-23 01:30:16,743] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673> 
2022-11-23T01:32:32.1032071Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1032172Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1032268Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1032365Z                6 BUILD_SLICE              2
2022-11-23T01:32:32.1032465Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1032561Z               10 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1032654Z               12 BUILD_SLICE              2
2022-11-23T01:32:32.1032743Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1032839Z               16 BUILD_TUPLE              3
2022-11-23T01:32:32.1032922Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.1033024Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1033123Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1033217Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1033310Z               26 BUILD_SLICE              2
2022-11-23T01:32:32.1033399Z               28 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1033494Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1033586Z               32 BUILD_SLICE              2
2022-11-23T01:32:32.1033681Z               34 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1033778Z               36 BUILD_TUPLE              3
2022-11-23T01:32:32.1033863Z               38 BINARY_SUBSCR
2022-11-23T01:32:32.1033940Z               40 BINARY_ADD
2022-11-23T01:32:32.1033946Z 
2022-11-23T01:32:32.1034032Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1034127Z               44 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1034208Z               46 BINARY_ADD
2022-11-23T01:32:32.1034305Z               48 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1034402Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1034493Z               52 BUILD_SLICE              2
2022-11-23T01:32:32.1034588Z               54 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1034676Z               56 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1034769Z               58 BUILD_SLICE              2
2022-11-23T01:32:32.1034864Z               60 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1034956Z               62 BUILD_TUPLE              3
2022-11-23T01:32:32.1035040Z               64 BINARY_SUBSCR
2022-11-23T01:32:32.1035136Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1035229Z               68 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1035300Z               70 BINARY_ADD
2022-11-23T01:32:32.1035396Z               72 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1035501Z               74 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1035596Z               76 BUILD_SLICE              2
2022-11-23T01:32:32.1035691Z               78 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1035788Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1035880Z               82 BUILD_SLICE              2
2022-11-23T01:32:32.1035974Z               84 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1036059Z               86 BUILD_TUPLE              3
2022-11-23T01:32:32.1036141Z               88 BINARY_SUBSCR
2022-11-23T01:32:32.1036220Z               90 BINARY_ADD
2022-11-23T01:32:32.1036225Z 
2022-11-23T01:32:32.1036318Z 1674          92 BUILD_TUPLE              2
2022-11-23T01:32:32.1036402Z               94 RETURN_VALUE
2022-11-23T01:32:32.1036466Z  
2022-11-23T01:32:32.1036471Z 
2022-11-23T01:32:32.1036791Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675
2022-11-23T01:32:32.1037038Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1037309Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1037600Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1037933Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1038202Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1038513Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1038866Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1039159Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1039485Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1039763Z [2022-11-23 01:30:16,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1040003Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1040266Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1040582Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1040943Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1041237Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1041570Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1041940Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1042256Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1042612Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1042963Z [2022-11-23 01:30:16,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1043230Z [2022-11-23 01:30:16,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1043545Z [2022-11-23 01:30:16,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676
2022-11-23T01:32:32.1043778Z [2022-11-23 01:30:16,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1044050Z [2022-11-23 01:30:16,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1044386Z [2022-11-23 01:30:16,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1044672Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1044984Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1045338Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1045633Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1045969Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1046340Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1046655Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1047007Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1047309Z [2022-11-23 01:30:16,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1047568Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1047864Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1048202Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1048500Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1048841Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1049218Z [2022-11-23 01:30:16,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1049531Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1049880Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1050273Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1050604Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1050971Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1051316Z [2022-11-23 01:30:16,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1051624Z [2022-11-23 01:30:16,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1051940Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674
2022-11-23T01:32:32.1052209Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1052457Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1052836Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673>
2022-11-23T01:32:32.1053087Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1053328Z [2022-11-23 01:30:16,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1053586Z [2022-11-23 01:30:16,757] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1053838Z [2022-11-23 01:30:16,764] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1054034Z [2022-11-23 01:30:16,764] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1054167Z  __compiled_fn_714 <eval_with_key>.4407 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1054260Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1054525Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:32.1054791Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:32.1054989Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:32.1055165Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1055433Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:32.1055608Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1055864Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:32.1056066Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:32.1056175Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:32.1056180Z 
2022-11-23T01:32:32.1056511Z [2022-11-23 01:30:16,764] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1056612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1056714Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1056808Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1056910Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1056994Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1057090Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1057172Z              12 RETURN_VALUE
2022-11-23T01:32:32.1057177Z 
2022-11-23T01:32:32.1057244Z  
2022-11-23T01:32:32.1057570Z [2022-11-23 01:30:16,765] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1057684Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_714)
2022-11-23T01:32:32.1057779Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1057908Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1057985Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1058101Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1058213Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1058322Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1058420Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1058502Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1058609Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1058697Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1058779Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1059013Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.1059096Z              26 RETURN_VALUE
2022-11-23T01:32:32.1059101Z 
2022-11-23T01:32:32.1059167Z  
2022-11-23T01:32:32.1059358Z [2022-11-23 01:30:16,765] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1059439Z  - 
2022-11-23T01:32:32.1059559Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1059631Z             {
2022-11-23T01:32:32.1059778Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1059972Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1060096Z                 'obj_weakref': None
2022-11-23T01:32:32.1060327Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1060397Z             }
2022-11-23T01:32:32.1060466Z             
2022-11-23T01:32:32.1060534Z  - 
2022-11-23T01:32:32.1060664Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1060733Z             {
2022-11-23T01:32:32.1060881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1060995Z                 'code': None,
2022-11-23T01:32:32.1061208Z                 'obj_weakref': <weakref at 0x7f201e6e88b0; to 'Tensor' at 0x7f20233c8270>
2022-11-23T01:32:32.1061464Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1061530Z             }
2022-11-23T01:32:32.1061599Z             
2022-11-23T01:32:32.1061673Z  - 
2022-11-23T01:32:32.1061808Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1061878Z             {
2022-11-23T01:32:32.1062019Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1062186Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1062315Z                 'obj_weakref': None
2022-11-23T01:32:32.1062546Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1062615Z             }
2022-11-23T01:32:32.1062683Z             
2022-11-23T01:32:32.1062761Z  - 
2022-11-23T01:32:32.1062888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1062950Z             {
2022-11-23T01:32:32.1063090Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1063308Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1063434Z                 'obj_weakref': None
2022-11-23T01:32:32.1063654Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1063724Z             }
2022-11-23T01:32:32.1063792Z             
2022-11-23T01:32:32.1064051Z [2022-11-23 01:30:16,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 697
2022-11-23T01:32:32.1064334Z [2022-11-23 01:30:16,796] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1064692Z [2022-11-23 01:30:16,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5ygfp5u6ugvtnaxh4ttzcdagswiohrlxsdyq642udwmoluu6jwf.py
2022-11-23T01:32:32.1064956Z [2022-11-23 01:30:16,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 697
2022-11-23T01:32:32.1065242Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1065581Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1065802Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1066056Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1066333Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1066649Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1066989Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1067301Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1067666Z [2022-11-23 01:30:16,870] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673> 
2022-11-23T01:32:32.1067769Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1067869Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1067967Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1068062Z                6 BUILD_SLICE              2
2022-11-23T01:32:32.1068158Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1068255Z               10 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1068342Z               12 BUILD_SLICE              2
2022-11-23T01:32:32.1068441Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1068539Z               16 BUILD_TUPLE              3
2022-11-23T01:32:32.1068625Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.1068721Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1068817Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1068912Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1068997Z               26 BUILD_SLICE              2
2022-11-23T01:32:32.1069096Z               28 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1069192Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1069286Z               32 BUILD_SLICE              2
2022-11-23T01:32:32.1069382Z               34 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1069476Z               36 BUILD_TUPLE              3
2022-11-23T01:32:32.1069559Z               38 BINARY_SUBSCR
2022-11-23T01:32:32.1069631Z               40 BINARY_ADD
2022-11-23T01:32:32.1069636Z 
2022-11-23T01:32:32.1069736Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1069832Z               44 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1069912Z               46 BINARY_ADD
2022-11-23T01:32:32.1070010Z               48 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1070106Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1070199Z               52 BUILD_SLICE              2
2022-11-23T01:32:32.1070398Z               54 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1070502Z               56 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1070599Z               58 BUILD_SLICE              2
2022-11-23T01:32:32.1070697Z               60 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1070791Z               62 BUILD_TUPLE              3
2022-11-23T01:32:32.1070874Z               64 BINARY_SUBSCR
2022-11-23T01:32:32.1070969Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1071063Z               68 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1071174Z               70 BINARY_ADD
2022-11-23T01:32:32.1071291Z               72 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1071386Z               74 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1071478Z               76 BUILD_SLICE              2
2022-11-23T01:32:32.1071574Z               78 LOAD_CONST               1 (10)
2022-11-23T01:32:32.1071671Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1071765Z               82 BUILD_SLICE              2
2022-11-23T01:32:32.1071852Z               84 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1071944Z               86 BUILD_TUPLE              3
2022-11-23T01:32:32.1072030Z               88 BINARY_SUBSCR
2022-11-23T01:32:32.1072109Z               90 BINARY_ADD
2022-11-23T01:32:32.1072114Z 
2022-11-23T01:32:32.1072208Z 1674          92 BUILD_TUPLE              2
2022-11-23T01:32:32.1072290Z               94 RETURN_VALUE
2022-11-23T01:32:32.1072358Z  
2022-11-23T01:32:32.1072363Z 
2022-11-23T01:32:32.1072681Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675
2022-11-23T01:32:32.1072902Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1073153Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1073449Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1073782Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1074053Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1074369Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1074721Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1075014Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1075339Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1075620Z [2022-11-23 01:30:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1075855Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1076131Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1076453Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1076813Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1077110Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1077442Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1077864Z [2022-11-23 01:30:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1078190Z [2022-11-23 01:30:16,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1078563Z [2022-11-23 01:30:16,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1078868Z [2022-11-23 01:30:16,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1079144Z [2022-11-23 01:30:16,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1079455Z [2022-11-23 01:30:16,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676
2022-11-23T01:32:32.1079697Z [2022-11-23 01:30:16,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1079963Z [2022-11-23 01:30:16,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1080273Z [2022-11-23 01:30:16,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1080546Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1080864Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1081217Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1081516Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1081854Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1082226Z [2022-11-23 01:30:16,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1082542Z [2022-11-23 01:30:16,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1082887Z [2022-11-23 01:30:16,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1083190Z [2022-11-23 01:30:16,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1083458Z [2022-11-23 01:30:16,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1083753Z [2022-11-23 01:30:16,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1084087Z [2022-11-23 01:30:16,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1084386Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1084729Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1085142Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1085482Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1085839Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1086239Z [2022-11-23 01:30:16,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1086581Z [2022-11-23 01:30:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1086963Z [2022-11-23 01:30:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1087282Z [2022-11-23 01:30:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1087579Z [2022-11-23 01:30:16,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1087894Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674
2022-11-23T01:32:32.1088165Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1088413Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1088794Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f239f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673>
2022-11-23T01:32:32.1089046Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1089284Z [2022-11-23 01:30:16,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1089543Z [2022-11-23 01:30:16,885] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1089798Z [2022-11-23 01:30:16,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1089985Z [2022-11-23 01:30:16,893] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1090130Z  __compiled_fn_715 <eval_with_key>.4413 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1090226Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1090494Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:32.1090761Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:32.1090963Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:32.1091145Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1091415Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:32.1091585Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1091849Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:32.1092050Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:32.1092159Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:32.1092201Z 
2022-11-23T01:32:32.1092534Z [2022-11-23 01:30:16,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1092663Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1092762Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1092857Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1092962Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1093047Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1093142Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1093224Z              12 RETURN_VALUE
2022-11-23T01:32:32.1093229Z 
2022-11-23T01:32:32.1093295Z  
2022-11-23T01:32:32.1093619Z [2022-11-23 01:30:16,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1093739Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_715)
2022-11-23T01:32:32.1093839Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1093930Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1094015Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1094109Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1094224Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1094334Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1094430Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1094513Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1094615Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1094710Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1094792Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1094887Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.1094968Z              26 RETURN_VALUE
2022-11-23T01:32:32.1094973Z 
2022-11-23T01:32:32.1095039Z  
2022-11-23T01:32:32.1095229Z [2022-11-23 01:30:16,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1095308Z  - 
2022-11-23T01:32:32.1095428Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1095497Z             {
2022-11-23T01:32:32.1095645Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1095841Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1095968Z                 'obj_weakref': None
2022-11-23T01:32:32.1096195Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1096265Z             }
2022-11-23T01:32:32.1096327Z             
2022-11-23T01:32:32.1096404Z  - 
2022-11-23T01:32:32.1096536Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1096606Z             {
2022-11-23T01:32:32.1096753Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1096867Z                 'code': None,
2022-11-23T01:32:32.1097086Z                 'obj_weakref': <weakref at 0x7f1ffad4e8e0; to 'Tensor' at 0x7f1ff81da980>
2022-11-23T01:32:32.1097332Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1097402Z             }
2022-11-23T01:32:32.1097472Z             
2022-11-23T01:32:32.1097549Z  - 
2022-11-23T01:32:32.1097684Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1097754Z             {
2022-11-23T01:32:32.1097896Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1098065Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1098193Z                 'obj_weakref': None
2022-11-23T01:32:32.1098422Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1098492Z             }
2022-11-23T01:32:32.1098561Z             
2022-11-23T01:32:32.1098637Z  - 
2022-11-23T01:32:32.1098764Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1099122Z             {
2022-11-23T01:32:32.1099377Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1099698Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1099881Z                 'obj_weakref': None
2022-11-23T01:32:32.1100202Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1100305Z             }
2022-11-23T01:32:32.1100405Z             
2022-11-23T01:32:32.1100779Z [2022-11-23 01:30:16,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 698
2022-11-23T01:32:32.1101208Z [2022-11-23 01:30:16,923] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1101739Z [2022-11-23 01:30:16,997] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vx/cvxoh7cxopctzaeuq3xgew4wa57kcdmpsjsotv5gyqz5mdndn7zq.py
2022-11-23T01:32:32.1102132Z [2022-11-23 01:30:16,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 698
2022-11-23T01:32:32.1102144Z 
2022-11-23T01:32:32.1102289Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1102403Z import torch
2022-11-23T01:32:32.1102521Z import random
2022-11-23T01:32:32.1102726Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1102912Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1102920Z 
2022-11-23T01:32:32.1103043Z aten = torch.ops.aten
2022-11-23T01:32:32.1103247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1103388Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1103396Z 
2022-11-23T01:32:32.1103507Z import triton
2022-11-23T01:32:32.1103645Z import triton.language as tl
2022-11-23T01:32:32.1103830Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1104040Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1104052Z 
2022-11-23T01:32:32.1104059Z 
2022-11-23T01:32:32.1104444Z triton_fused_select_slice_3_add_1_select_3_add_3_slice_4_add_select_1_slice_2_slice_50 = async_compile.triton('''
2022-11-23T01:32:32.1104556Z import triton
2022-11-23T01:32:32.1104693Z import triton.language as tl
2022-11-23T01:32:32.1104862Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1105015Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1105212Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1105397Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1105405Z 
2022-11-23T01:32:32.1105968Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1106069Z @triton.jit
2022-11-23T01:32:32.1106280Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1106390Z     xnumel = 20
2022-11-23T01:32:32.1106537Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1106727Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1106849Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1106962Z     x0 = xindex % 10
2022-11-23T01:32:32.1107071Z     x1 = (xindex // 10)
2022-11-23T01:32:32.1107176Z     x2 = xindex
2022-11-23T01:32:32.1107334Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (40*x1)), xmask)
2022-11-23T01:32:32.1107501Z     tmp1 = tl.load(in_ptr0 + (20 + (2*x0) + (40*x1)), xmask)
2022-11-23T01:32:32.1107617Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1107722Z     tmp3 = 1
2022-11-23T01:32:32.1107836Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.1107943Z     tmp5 = tmp1 + tmp3
2022-11-23T01:32:32.1108057Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.1108255Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1108495Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.1108654Z ''')
2022-11-23T01:32:32.1108662Z 
2022-11-23T01:32:32.1108669Z 
2022-11-23T01:32:32.1108808Z async_compile.wait(globals())
2022-11-23T01:32:32.1108922Z del async_compile
2022-11-23T01:32:32.1108930Z 
2022-11-23T01:32:32.1109041Z def call(args):
2022-11-23T01:32:32.1109141Z     arg0_1, = args
2022-11-23T01:32:32.1109252Z     args.clear()
2022-11-23T01:32:32.1109547Z     buf0 = empty_strided((2, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1109840Z     buf1 = empty_strided((2, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1109973Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1110359Z     triton_fused_select_slice_3_add_1_select_3_add_3_slice_4_add_select_1_slice_2_slice_50.run(arg0_1, buf0, buf1, 20, grid=grid(20), stream=stream0)
2022-11-23T01:32:32.1110471Z     del arg0_1
2022-11-23T01:32:32.1110582Z     return (buf0, buf1, )
2022-11-23T01:32:32.1110601Z 
2022-11-23T01:32:32.1110608Z 
2022-11-23T01:32:32.1110721Z if __name__ == "__main__":
2022-11-23T01:32:32.1110897Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1111086Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1111395Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1111563Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1111571Z 
2022-11-23T01:32:32.1111578Z 
2022-11-23T01:32:32.1111722Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1111832Z import torch
2022-11-23T01:32:32.1111933Z import random
2022-11-23T01:32:32.1112110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1112292Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1112299Z 
2022-11-23T01:32:32.1112422Z aten = torch.ops.aten
2022-11-23T01:32:32.1112624Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1112770Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1112781Z 
2022-11-23T01:32:32.1112892Z import triton
2022-11-23T01:32:32.1113032Z import triton.language as tl
2022-11-23T01:32:32.1113209Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1113419Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1113427Z 
2022-11-23T01:32:32.1113434Z 
2022-11-23T01:32:32.1113820Z triton_fused_slice_8_slice_3_slice_4_add_3_add_2_slice_5_add_1_select_2_slice_6_slice_70 = async_compile.triton('''
2022-11-23T01:32:32.1113932Z import triton
2022-11-23T01:32:32.1114071Z import triton.language as tl
2022-11-23T01:32:32.1114238Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1114390Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1114587Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1114762Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1114770Z 
2022-11-23T01:32:32.1115335Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1115446Z @triton.jit
2022-11-23T01:32:32.1115652Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1115760Z     xnumel = 20
2022-11-23T01:32:32.1115903Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1116092Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1124781Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1124909Z     x0 = xindex % 10
2022-11-23T01:32:32.1125031Z     x1 = (xindex // 10)
2022-11-23T01:32:32.1125138Z     x2 = xindex
2022-11-23T01:32:32.1125327Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (40*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.1125522Z     tmp1 = tl.load(in_ptr0 + (20 + (2*x0) + (40*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.1125640Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1125747Z     tmp3 = 1
2022-11-23T01:32:32.1125924Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.1126070Z     tmp5 = tmp1 + tmp3
2022-11-23T01:32:32.1126186Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.1126385Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1126582Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.1126732Z ''')
2022-11-23T01:32:32.1126741Z 
2022-11-23T01:32:32.1126748Z 
2022-11-23T01:32:32.1126886Z async_compile.wait(globals())
2022-11-23T01:32:32.1126992Z del async_compile
2022-11-23T01:32:32.1126999Z 
2022-11-23T01:32:32.1127112Z def call(args):
2022-11-23T01:32:32.1127224Z     arg0_1, = args
2022-11-23T01:32:32.1127337Z     args.clear()
2022-11-23T01:32:32.1127635Z     buf0 = empty_strided((2, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1127924Z     buf1 = empty_strided((2, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1128058Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1128355Z     triton_fused_slice_8_slice_3_slice_4_add_3_add_2_slice_5_add_1_select_2_slice_6_slice_70.run(arg0_1, buf0, buf1, 20, grid=grid(20), stream=stream0)
2022-11-23T01:32:32.1128458Z     del arg0_1
2022-11-23T01:32:32.1128581Z     return (buf0, buf1, )
2022-11-23T01:32:32.1128589Z 
2022-11-23T01:32:32.1128596Z 
2022-11-23T01:32:32.1128715Z if __name__ == "__main__":
2022-11-23T01:32:32.1128892Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1129083Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1129385Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1129549Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1129557Z 
2022-11-23T01:32:32.1129663Z ok (0.259s)
2022-11-23T01:32:32.1130103Z   test_slice2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1130569Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1130899Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1131275Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1131684Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1132156Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1132661Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1133137Z [2022-11-23 01:30:17,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1133683Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685> 
2022-11-23T01:32:32.1133827Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1133961Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1134169Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1134306Z                6 BUILD_SLICE              2
2022-11-23T01:32:32.1134448Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1134586Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1134725Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1134862Z               14 BUILD_SLICE              3
2022-11-23T01:32:32.1135061Z               16 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1135236Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.1135385Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.1135526Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1135730Z               24 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1135871Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1136006Z               28 BUILD_SLICE              2
2022-11-23T01:32:32.1136134Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1136273Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1136410Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1136545Z               36 BUILD_SLICE              3
2022-11-23T01:32:32.1136750Z               38 LOAD_CONST               4 (-2)
2022-11-23T01:32:32.1136886Z               40 BUILD_TUPLE              3
2022-11-23T01:32:32.1137008Z               42 BINARY_SUBSCR
2022-11-23T01:32:32.1137115Z               44 BINARY_ADD
2022-11-23T01:32:32.1137135Z 
2022-11-23T01:32:32.1137265Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1137404Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1137518Z               50 BINARY_ADD
2022-11-23T01:32:32.1137662Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1137868Z               54 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1138006Z               56 BUILD_SLICE              2
2022-11-23T01:32:32.1138142Z               58 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1138270Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1138403Z               62 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1138537Z               64 BUILD_SLICE              3
2022-11-23T01:32:32.1138743Z               66 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1139058Z               68 BUILD_TUPLE              3
2022-11-23T01:32:32.1139182Z               70 BINARY_SUBSCR
2022-11-23T01:32:32.1139324Z               72 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1139450Z               74 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1139573Z               76 BINARY_ADD
2022-11-23T01:32:32.1139783Z               78 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1139920Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1140054Z               82 BUILD_SLICE              2
2022-11-23T01:32:32.1140191Z               84 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1140331Z               86 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1140457Z               88 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1140590Z               90 BUILD_SLICE              3
2022-11-23T01:32:32.1140795Z               92 LOAD_CONST               4 (-2)
2022-11-23T01:32:32.1140931Z               94 BUILD_TUPLE              3
2022-11-23T01:32:32.1141051Z               96 BINARY_SUBSCR
2022-11-23T01:32:32.1141164Z               98 BINARY_ADD
2022-11-23T01:32:32.1141172Z 
2022-11-23T01:32:32.1141309Z 1686         100 BUILD_TUPLE              2
2022-11-23T01:32:32.1141423Z              102 RETURN_VALUE
2022-11-23T01:32:32.1141521Z  
2022-11-23T01:32:32.1141528Z 
2022-11-23T01:32:32.1141991Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687
2022-11-23T01:32:32.1142304Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1142667Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1143094Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1143567Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1144028Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1144526Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1145042Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1145605Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1146034Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1146517Z [2022-11-23 01:30:17,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1146927Z [2022-11-23 01:30:17,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1147285Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1147676Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1148126Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1148631Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1149056Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1149543Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1150084Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1150804Z [2022-11-23 01:30:17,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1151261Z [2022-11-23 01:30:17,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1151779Z [2022-11-23 01:30:17,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1152221Z [2022-11-23 01:30:17,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1152623Z [2022-11-23 01:30:17,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1153083Z [2022-11-23 01:30:17,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688
2022-11-23T01:32:32.1153432Z [2022-11-23 01:30:17,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1153823Z [2022-11-23 01:30:17,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1154274Z [2022-11-23 01:30:17,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1154720Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1155203Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1155710Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1156135Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1156632Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1157185Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1157800Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1158264Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1158778Z [2022-11-23 01:30:17,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1159223Z [2022-11-23 01:30:17,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1159616Z [2022-11-23 01:30:17,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1160047Z [2022-11-23 01:30:17,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1160539Z [2022-11-23 01:30:17,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1160972Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1161456Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1161997Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1162461Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1162989Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1163574Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1164212Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1164755Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1165311Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1165819Z [2022-11-23 01:30:17,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1166258Z [2022-11-23 01:30:17,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1166719Z [2022-11-23 01:30:17,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686
2022-11-23T01:32:32.1167112Z [2022-11-23 01:30:17,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1167476Z [2022-11-23 01:30:17,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1168020Z [2022-11-23 01:30:17,016] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685>
2022-11-23T01:32:32.1168384Z [2022-11-23 01:30:17,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1168734Z [2022-11-23 01:30:17,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1169115Z [2022-11-23 01:30:17,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1169482Z [2022-11-23 01:30:17,024] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1169770Z [2022-11-23 01:30:17,025] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1169975Z  __compiled_fn_716 <eval_with_key>.4419 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1170113Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1170501Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:32.1170865Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:32.1171153Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:32.1171413Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1171796Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:32.1172062Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:32.1172427Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:32.1172722Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:32.1172883Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:32.1172895Z 
2022-11-23T01:32:32.1173376Z [2022-11-23 01:30:17,025] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1173511Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1173651Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1173786Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1173928Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1174061Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1174202Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1174325Z              12 RETURN_VALUE
2022-11-23T01:32:32.1174332Z 
2022-11-23T01:32:32.1174421Z  
2022-11-23T01:32:32.1174925Z [2022-11-23 01:30:17,025] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1175122Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_716)
2022-11-23T01:32:32.1175263Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1175402Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1175522Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1175659Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1175818Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1175966Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1176104Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1176223Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1176377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1176515Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1176635Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1176770Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.1176882Z              26 RETURN_VALUE
2022-11-23T01:32:32.1176892Z 
2022-11-23T01:32:32.1176990Z  
2022-11-23T01:32:32.1177266Z [2022-11-23 01:30:17,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1177378Z  - 
2022-11-23T01:32:32.1177562Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1177664Z             {
2022-11-23T01:32:32.1177881Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1178151Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1178332Z                 'obj_weakref': None
2022-11-23T01:32:32.1178658Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1178765Z             }
2022-11-23T01:32:32.1179008Z             
2022-11-23T01:32:32.1179126Z  - 
2022-11-23T01:32:32.1179321Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1179414Z             {
2022-11-23T01:32:32.1179633Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1179803Z                 'code': None,
2022-11-23T01:32:32.1180121Z                 'obj_weakref': <weakref at 0x7f1ffad4dc10; to 'Tensor' at 0x7f1fead3c2c0>
2022-11-23T01:32:32.1180483Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1180584Z             }
2022-11-23T01:32:32.1180684Z             
2022-11-23T01:32:32.1180786Z  - 
2022-11-23T01:32:32.1180984Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1181085Z             {
2022-11-23T01:32:32.1181289Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1181544Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1181728Z                 'obj_weakref': None
2022-11-23T01:32:32.1182061Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1182153Z             }
2022-11-23T01:32:32.1182253Z             
2022-11-23T01:32:32.1182366Z  - 
2022-11-23T01:32:32.1182555Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1182656Z             {
2022-11-23T01:32:32.1182861Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1183178Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1183350Z                 'obj_weakref': None
2022-11-23T01:32:32.1183673Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1183776Z             }
2022-11-23T01:32:32.1183878Z             
2022-11-23T01:32:32.1184260Z [2022-11-23 01:30:17,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 699
2022-11-23T01:32:32.1184686Z [2022-11-23 01:30:17,054] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1185280Z [2022-11-23 01:30:17,120] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/cearhyqsynw6wpored6yoy5flmxe2sh6ckrptutm6dwxf4v2buwi.py
2022-11-23T01:32:32.1185706Z [2022-11-23 01:30:17,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 699
2022-11-23T01:32:32.1186058Z [2022-11-23 01:30:17,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1186510Z [2022-11-23 01:30:17,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1186835Z [2022-11-23 01:30:17,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1187209Z [2022-11-23 01:30:17,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1187617Z [2022-11-23 01:30:17,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1188090Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1188600Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1189072Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1189611Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685> 
2022-11-23T01:32:32.1189755Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1189897Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1190094Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1190233Z                6 BUILD_SLICE              2
2022-11-23T01:32:32.1190460Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1190605Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1190746Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1190880Z               14 BUILD_SLICE              3
2022-11-23T01:32:32.1191089Z               16 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1191216Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.1191339Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.1191479Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1191685Z               24 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1191825Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1191961Z               28 BUILD_SLICE              2
2022-11-23T01:32:32.1192097Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1192226Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1192367Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1192504Z               36 BUILD_SLICE              3
2022-11-23T01:32:32.1192708Z               38 LOAD_CONST               4 (-2)
2022-11-23T01:32:32.1192844Z               40 BUILD_TUPLE              3
2022-11-23T01:32:32.1192964Z               42 BINARY_SUBSCR
2022-11-23T01:32:32.1193079Z               44 BINARY_ADD
2022-11-23T01:32:32.1193087Z 
2022-11-23T01:32:32.1193215Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1193351Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1193466Z               50 BINARY_ADD
2022-11-23T01:32:32.1193603Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1193812Z               54 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1193947Z               56 BUILD_SLICE              2
2022-11-23T01:32:32.1194084Z               58 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1194211Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1194384Z               62 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1194543Z               64 BUILD_SLICE              3
2022-11-23T01:32:32.1194745Z               66 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1194881Z               68 BUILD_TUPLE              3
2022-11-23T01:32:32.1195005Z               70 BINARY_SUBSCR
2022-11-23T01:32:32.1195140Z               72 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1195267Z               74 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1195383Z               76 BINARY_ADD
2022-11-23T01:32:32.1195586Z               78 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1195723Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1195856Z               82 BUILD_SLICE              2
2022-11-23T01:32:32.1195992Z               84 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1196131Z               86 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1196265Z               88 LOAD_CONST               2 (2)
2022-11-23T01:32:32.1196394Z               90 BUILD_SLICE              3
2022-11-23T01:32:32.1196604Z               92 LOAD_CONST               4 (-2)
2022-11-23T01:32:32.1196739Z               94 BUILD_TUPLE              3
2022-11-23T01:32:32.1196860Z               96 BINARY_SUBSCR
2022-11-23T01:32:32.1196976Z               98 BINARY_ADD
2022-11-23T01:32:32.1196984Z 
2022-11-23T01:32:32.1197118Z 1686         100 BUILD_TUPLE              2
2022-11-23T01:32:32.1197242Z              102 RETURN_VALUE
2022-11-23T01:32:32.1197330Z  
2022-11-23T01:32:32.1197338Z 
2022-11-23T01:32:32.1197802Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687
2022-11-23T01:32:32.1198118Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1198479Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1198904Z [2022-11-23 01:30:17,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1199377Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1199772Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1200222Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1200741Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1201317Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1201741Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1202273Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1202678Z [2022-11-23 01:30:17,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1203032Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1203424Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1203911Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1204417Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1204872Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1205355Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1205895Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1206499Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1206963Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1207473Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1207918Z [2022-11-23 01:30:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1208320Z [2022-11-23 01:30:17,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1208781Z [2022-11-23 01:30:17,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688
2022-11-23T01:32:32.1209138Z [2022-11-23 01:30:17,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1209530Z [2022-11-23 01:30:17,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1209978Z [2022-11-23 01:30:17,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1210375Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1210834Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1211343Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1211780Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1212270Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1212828Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1213452Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1213921Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1214470Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1214940Z [2022-11-23 01:30:17,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1215330Z [2022-11-23 01:30:17,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1215762Z [2022-11-23 01:30:17,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1216251Z [2022-11-23 01:30:17,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1216683Z [2022-11-23 01:30:17,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1217173Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1217720Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1218174Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1218696Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1219421Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1220066Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1220574Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1221126Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1221606Z [2022-11-23 01:30:17,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1222042Z [2022-11-23 01:30:17,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1222507Z [2022-11-23 01:30:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686
2022-11-23T01:32:32.1222904Z [2022-11-23 01:30:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1223269Z [2022-11-23 01:30:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1223819Z [2022-11-23 01:30:17,136] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685>
2022-11-23T01:32:32.1224172Z [2022-11-23 01:30:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1224522Z [2022-11-23 01:30:17,137] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1224971Z [2022-11-23 01:30:17,138] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1225396Z [2022-11-23 01:30:17,145] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1225678Z [2022-11-23 01:30:17,146] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1225883Z  __compiled_fn_717 <eval_with_key>.4425 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1226028Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1226408Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:32.1226780Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:32.1227057Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:32.1227315Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1227698Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:32.1227960Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:32.1228327Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:32.1228618Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:32.1228777Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:32.1228785Z 
2022-11-23T01:32:32.1229266Z [2022-11-23 01:30:17,146] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1229412Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1229543Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1229678Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1229823Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1229958Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1230098Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1230218Z              12 RETURN_VALUE
2022-11-23T01:32:32.1230226Z 
2022-11-23T01:32:32.1230397Z  
2022-11-23T01:32:32.1230865Z [2022-11-23 01:30:17,146] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1231034Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_717)
2022-11-23T01:32:32.1231175Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1231313Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1231434Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1231569Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1231729Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1231884Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1232018Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1232141Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1232297Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1232433Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1232556Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1232691Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.1232808Z              26 RETURN_VALUE
2022-11-23T01:32:32.1232816Z 
2022-11-23T01:32:32.1232905Z  
2022-11-23T01:32:32.1233181Z [2022-11-23 01:30:17,147] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1233293Z  - 
2022-11-23T01:32:32.1233476Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1233577Z             {
2022-11-23T01:32:32.1233791Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1234066Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1234239Z                 'obj_weakref': None
2022-11-23T01:32:32.1234611Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1234745Z             }
2022-11-23T01:32:32.1234847Z             
2022-11-23T01:32:32.1234961Z  - 
2022-11-23T01:32:32.1235149Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1235253Z             {
2022-11-23T01:32:32.1235459Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1235626Z                 'code': None,
2022-11-23T01:32:32.1235938Z                 'obj_weakref': <weakref at 0x7f1ffad482c0; to 'Tensor' at 0x7f1fe03adda0>
2022-11-23T01:32:32.1236303Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1236406Z             }
2022-11-23T01:32:32.1236506Z             
2022-11-23T01:32:32.1236616Z  - 
2022-11-23T01:32:32.1236807Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1236908Z             {
2022-11-23T01:32:32.1237122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1237377Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1237560Z                 'obj_weakref': None
2022-11-23T01:32:32.1237895Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1237998Z             }
2022-11-23T01:32:32.1238090Z             
2022-11-23T01:32:32.1238200Z  - 
2022-11-23T01:32:32.1238387Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1238489Z             {
2022-11-23T01:32:32.1238693Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1239010Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1239191Z                 'obj_weakref': None
2022-11-23T01:32:32.1239502Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1239606Z             }
2022-11-23T01:32:32.1239706Z             
2022-11-23T01:32:32.1240090Z [2022-11-23 01:30:17,161] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 700
2022-11-23T01:32:32.1240521Z [2022-11-23 01:30:17,172] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1241049Z [2022-11-23 01:30:17,238] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z6/cz6aavgazrtiz7h4zkerpv2oguca53gzta7whl3lqxc3uxocls2f.py
2022-11-23T01:32:32.1241441Z [2022-11-23 01:30:17,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 700
2022-11-23T01:32:32.1241451Z 
2022-11-23T01:32:32.1241596Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1241696Z import torch
2022-11-23T01:32:32.1241805Z import random
2022-11-23T01:32:32.1241981Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1242165Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1242173Z 
2022-11-23T01:32:32.1242302Z aten = torch.ops.aten
2022-11-23T01:32:32.1242509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1242651Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1242659Z 
2022-11-23T01:32:32.1242768Z import triton
2022-11-23T01:32:32.1242897Z import triton.language as tl
2022-11-23T01:32:32.1243083Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1243293Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1243302Z 
2022-11-23T01:32:32.1243309Z 
2022-11-23T01:32:32.1243700Z triton_fused_slice_3_slice_4_slice_6_slice_5_add_3_select_2_select_slice_8_add_1_select_30 = async_compile.triton('''
2022-11-23T01:32:32.1243813Z import triton
2022-11-23T01:32:32.1243952Z import triton.language as tl
2022-11-23T01:32:32.1244123Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1244273Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1244499Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1244688Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1244721Z 
2022-11-23T01:32:32.1245288Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1245397Z @triton.jit
2022-11-23T01:32:32.1245606Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1245714Z     xnumel = 10
2022-11-23T01:32:32.1245859Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1246048Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1246162Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1246267Z     x0 = xindex
2022-11-23T01:32:32.1246416Z     tmp0 = tl.load(in_ptr0 + (1 + (4*x0)), xmask)
2022-11-23T01:32:32.1246571Z     tmp1 = tl.load(in_ptr0 + (42 + (4*x0)), xmask)
2022-11-23T01:32:32.1246690Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1246795Z     tmp3 = 1
2022-11-23T01:32:32.1246905Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.1247010Z     tmp5 = 2
2022-11-23T01:32:32.1247124Z     tmp6 = tmp1 + tmp5
2022-11-23T01:32:32.1247238Z     tmp7 = tmp4 + tmp6
2022-11-23T01:32:32.1247441Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1247638Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.1247768Z ''')
2022-11-23T01:32:32.1247776Z 
2022-11-23T01:32:32.1247783Z 
2022-11-23T01:32:32.1247921Z async_compile.wait(globals())
2022-11-23T01:32:32.1248026Z del async_compile
2022-11-23T01:32:32.1248034Z 
2022-11-23T01:32:32.1248145Z def call(args):
2022-11-23T01:32:32.1248252Z     arg0_1, = args
2022-11-23T01:32:32.1248364Z     args.clear()
2022-11-23T01:32:32.1248660Z     buf0 = empty_strided((1, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1248957Z     buf1 = empty_strided((1, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1249091Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1249385Z     triton_fused_slice_3_slice_4_slice_6_slice_5_add_3_select_2_select_slice_8_add_1_select_30.run(arg0_1, buf0, buf1, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.1249494Z     del arg0_1
2022-11-23T01:32:32.1249615Z     return (buf0, buf1, )
2022-11-23T01:32:32.1249623Z 
2022-11-23T01:32:32.1249630Z 
2022-11-23T01:32:32.1249747Z if __name__ == "__main__":
2022-11-23T01:32:32.1249924Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1250112Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1250418Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1250583Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1250591Z 
2022-11-23T01:32:32.1250597Z 
2022-11-23T01:32:32.1250744Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1250845Z import torch
2022-11-23T01:32:32.1250965Z import random
2022-11-23T01:32:32.1251142Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1251328Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1251336Z 
2022-11-23T01:32:32.1251457Z aten = torch.ops.aten
2022-11-23T01:32:32.1251661Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1251803Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1251811Z 
2022-11-23T01:32:32.1251913Z import triton
2022-11-23T01:32:32.1252053Z import triton.language as tl
2022-11-23T01:32:32.1252240Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1252448Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1252456Z 
2022-11-23T01:32:32.1252462Z 
2022-11-23T01:32:32.1252846Z triton_fused_slice_4_add_1_slice_8_select_2_select_slice_5_add_slice_6_add_2_slice_10 = async_compile.triton('''
2022-11-23T01:32:32.1252956Z import triton
2022-11-23T01:32:32.1253098Z import triton.language as tl
2022-11-23T01:32:32.1253299Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1253474Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1253671Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1253855Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1253863Z 
2022-11-23T01:32:32.1254429Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1254538Z @triton.jit
2022-11-23T01:32:32.1254744Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1254852Z     xnumel = 10
2022-11-23T01:32:32.1254995Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1255176Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1255299Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1255406Z     x0 = xindex
2022-11-23T01:32:32.1255582Z     tmp0 = tl.load(in_ptr0 + (1 + (4*x0)), xmask).to(tl.float32)
2022-11-23T01:32:32.1255761Z     tmp1 = tl.load(in_ptr0 + (42 + (4*x0)), xmask).to(tl.float32)
2022-11-23T01:32:32.1255877Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1255981Z     tmp3 = 1
2022-11-23T01:32:32.1256088Z     tmp4 = tmp0 + tmp3
2022-11-23T01:32:32.1256192Z     tmp5 = 2
2022-11-23T01:32:32.1256308Z     tmp6 = tmp1 + tmp5
2022-11-23T01:32:32.1256423Z     tmp7 = tmp4 + tmp6
2022-11-23T01:32:32.1256622Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1256816Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.1256944Z ''')
2022-11-23T01:32:32.1256952Z 
2022-11-23T01:32:32.1256959Z 
2022-11-23T01:32:32.1257088Z async_compile.wait(globals())
2022-11-23T01:32:32.1257204Z del async_compile
2022-11-23T01:32:32.1257212Z 
2022-11-23T01:32:32.1257323Z def call(args):
2022-11-23T01:32:32.1257433Z     arg0_1, = args
2022-11-23T01:32:32.1257545Z     args.clear()
2022-11-23T01:32:32.1257841Z     buf0 = empty_strided((1, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1258132Z     buf1 = empty_strided((1, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1258267Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1258552Z     triton_fused_slice_4_add_1_slice_8_select_2_select_slice_5_add_slice_6_add_2_slice_10.run(arg0_1, buf0, buf1, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.1258661Z     del arg0_1
2022-11-23T01:32:32.1258780Z     return (buf0, buf1, )
2022-11-23T01:32:32.1258788Z 
2022-11-23T01:32:32.1258933Z 
2022-11-23T01:32:32.1259058Z if __name__ == "__main__":
2022-11-23T01:32:32.1259236Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1259424Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1259734Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1259905Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1259918Z 
2022-11-23T01:32:32.1260014Z ok (0.241s)
2022-11-23T01:32:32.1260481Z   test_slice_mutation1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1260946Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1261273Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1261647Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1262057Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1262583Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1263123Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1263596Z [2022-11-23 01:30:17,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1264139Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290> 
2022-11-23T01:32:32.1264279Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1264433Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:32.1264575Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1264714Z                6 CALL_METHOD              1
2022-11-23T01:32:32.1264858Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:32.1264869Z 
2022-11-23T01:32:32.1265003Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1265142Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1265257Z               14 BINARY_ADD
2022-11-23T01:32:32.1265385Z               16 STORE_FAST               2 (b)
2022-11-23T01:32:32.1265393Z 
2022-11-23T01:32:32.1265538Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T01:32:32.1265674Z               20 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1265816Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1265954Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1266090Z               26 BUILD_SLICE              2
2022-11-23T01:32:32.1266225Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:32.1266354Z               30 BUILD_TUPLE              2
2022-11-23T01:32:32.1266473Z               32 STORE_SUBSCR
2022-11-23T01:32:32.1266481Z 
2022-11-23T01:32:32.1266625Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1266768Z               36 LOAD_METHOD              2 (clone)
2022-11-23T01:32:32.1266903Z               38 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1267040Z               40 CALL_METHOD              1
2022-11-23T01:32:32.1267178Z               42 STORE_FAST               3 (c)
2022-11-23T01:32:32.1267185Z 
2022-11-23T01:32:32.1267322Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T01:32:32.1267449Z               46 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1267582Z               48 LOAD_CONST               5 (4)
2022-11-23T01:32:32.1267727Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1267869Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1268006Z               54 BUILD_SLICE              2
2022-11-23T01:32:32.1268144Z               56 BUILD_TUPLE              2
2022-11-23T01:32:32.1268264Z               58 STORE_SUBSCR
2022-11-23T01:32:32.1268275Z 
2022-11-23T01:32:32.1268402Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1268539Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1268653Z               64 BINARY_ADD
2022-11-23T01:32:32.1268788Z               66 STORE_FAST               4 (d)
2022-11-23T01:32:32.1268795Z 
2022-11-23T01:32:32.1268928Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1269063Z               70 LOAD_FAST                2 (b)
2022-11-23T01:32:32.1269198Z               72 LOAD_FAST                3 (c)
2022-11-23T01:32:32.1269334Z               74 LOAD_FAST                4 (d)
2022-11-23T01:32:32.1269462Z               76 BUILD_TUPLE              4
2022-11-23T01:32:32.1269579Z               78 RETURN_VALUE
2022-11-23T01:32:32.1269676Z  
2022-11-23T01:32:32.1269684Z 
2022-11-23T01:32:32.1270153Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291
2022-11-23T01:32:32.1270590Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1271167Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1271649Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1272171Z [2022-11-23 01:30:17,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1272524Z [2022-11-23 01:30:17,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:32.1272973Z [2022-11-23 01:30:17,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292
2022-11-23T01:32:32.1273283Z [2022-11-23 01:30:17,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1273639Z [2022-11-23 01:30:17,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.1274052Z [2022-11-23 01:30:17,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1274400Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.1274861Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293
2022-11-23T01:32:32.1275183Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T01:32:32.1275553Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:32.1275968Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.1276447Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1276977Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1277416Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1277916Z [2022-11-23 01:30:17,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1278374Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1278835Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294
2022-11-23T01:32:32.1279159Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1279695Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1280159Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1280666Z [2022-11-23 01:30:17,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1281050Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.1281540Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295
2022-11-23T01:32:32.1281848Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T01:32:32.1282215Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:32.1282625Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.1283089Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1283621Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1284217Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1284714Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T01:32:32.1285177Z [2022-11-23 01:30:17,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1285632Z [2022-11-23 01:30:17,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296
2022-11-23T01:32:32.1285942Z [2022-11-23 01:30:17,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1286295Z [2022-11-23 01:30:17,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.1286701Z [2022-11-23 01:30:17,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1287052Z [2022-11-23 01:30:17,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.1287501Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297
2022-11-23T01:32:32.1287805Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1288155Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.1288551Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1288977Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1289454Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1289818Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1290368Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290>
2022-11-23T01:32:32.1290721Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1291066Z [2022-11-23 01:30:17,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1291491Z [2022-11-23 01:30:17,251] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1291899Z [2022-11-23 01:30:17,256] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1292184Z [2022-11-23 01:30:17,257] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1292388Z  __compiled_fn_718 <eval_with_key>.4431 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1292525Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1292885Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.1293140Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:32.1293499Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T01:32:32.1293846Z call_function, clone, <built-in method clone of type object at 0x7f209c394c60>, (zeros_like,), {}
2022-11-23T01:32:32.1294210Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T01:32:32.1294490Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:32.1294683Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T01:32:32.1294691Z 
2022-11-23T01:32:32.1295167Z [2022-11-23 01:30:17,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1295309Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1295447Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1295572Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1295714Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1295845Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1295985Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1296105Z              12 RETURN_VALUE
2022-11-23T01:32:32.1296113Z 
2022-11-23T01:32:32.1296212Z  
2022-11-23T01:32:32.1296678Z [2022-11-23 01:30:17,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1296848Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_718)
2022-11-23T01:32:32.1296978Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1297116Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1297239Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1297373Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1297531Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1297687Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1297823Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1297934Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1298089Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1298230Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1298351Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1298506Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1298644Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1298762Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1299031Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1299170Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.1299288Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1299424Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.1299542Z              38 RETURN_VALUE
2022-11-23T01:32:32.1299550Z 
2022-11-23T01:32:32.1299646Z  
2022-11-23T01:32:32.1299924Z [2022-11-23 01:30:17,258] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1300027Z  - 
2022-11-23T01:32:32.1300209Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1300312Z             {
2022-11-23T01:32:32.1300585Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1300865Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1301083Z                 'obj_weakref': None
2022-11-23T01:32:32.1301412Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1301505Z             }
2022-11-23T01:32:32.1301606Z             
2022-11-23T01:32:32.1301715Z  - 
2022-11-23T01:32:32.1301903Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1302007Z             {
2022-11-23T01:32:32.1302224Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1302389Z                 'code': None,
2022-11-23T01:32:32.1302691Z                 'obj_weakref': <weakref at 0x7f1ffadb2a20; to 'Tensor' at 0x7f2151f03d80>
2022-11-23T01:32:32.1303053Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1303156Z             }
2022-11-23T01:32:32.1303262Z             
2022-11-23T01:32:32.1303373Z  - 
2022-11-23T01:32:32.1303574Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1303674Z             {
2022-11-23T01:32:32.1303868Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1304119Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1304300Z                 'obj_weakref': None
2022-11-23T01:32:32.1304629Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1304730Z             }
2022-11-23T01:32:32.1304833Z             
2022-11-23T01:32:32.1304944Z  - 
2022-11-23T01:32:32.1305120Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1305222Z             {
2022-11-23T01:32:32.1305427Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1305750Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1305931Z                 'obj_weakref': None
2022-11-23T01:32:32.1306258Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1306363Z             }
2022-11-23T01:32:32.1306454Z             
2022-11-23T01:32:32.1306566Z  - 
2022-11-23T01:32:32.1306769Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1306870Z             {
2022-11-23T01:32:32.1307053Z                 'guard_types': None,
2022-11-23T01:32:32.1307222Z                 'code': None,
2022-11-23T01:32:32.1307404Z                 'obj_weakref': None
2022-11-23T01:32:32.1307579Z                 'guarded_class': None
2022-11-23T01:32:32.1307680Z             }
2022-11-23T01:32:32.1307778Z             
2022-11-23T01:32:32.1308163Z [2022-11-23 01:30:17,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 701
2022-11-23T01:32:32.1308589Z [2022-11-23 01:30:17,286] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1308956Z [2022-11-23 01:30:17,288] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.1309316Z [2022-11-23 01:30:17,289] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.1309673Z [2022-11-23 01:30:17,290] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:32.1310022Z [2022-11-23 01:30:17,291] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:32.1310643Z [2022-11-23 01:30:17,373] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c57obpwbt32uyxvvh7smwpjacuwxlecnysmgd6nwqr7loppxjyxu.py
2022-11-23T01:32:32.1311036Z [2022-11-23 01:30:17,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 701
2022-11-23T01:32:32.1311385Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1311887Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1312238Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1312617Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1313031Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1313505Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1314013Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1314480Z [2022-11-23 01:30:17,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1315025Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290> 
2022-11-23T01:32:32.1315174Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1315331Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:32.1315471Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1315606Z                6 CALL_METHOD              1
2022-11-23T01:32:32.1315747Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:32.1315755Z 
2022-11-23T01:32:32.1315889Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1316026Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1316132Z               14 BINARY_ADD
2022-11-23T01:32:32.1316269Z               16 STORE_FAST               2 (b)
2022-11-23T01:32:32.1316281Z 
2022-11-23T01:32:32.1316420Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T01:32:32.1316560Z               20 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1316702Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1316843Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1316978Z               26 BUILD_SLICE              2
2022-11-23T01:32:32.1317105Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:32.1317244Z               30 BUILD_TUPLE              2
2022-11-23T01:32:32.1317366Z               32 STORE_SUBSCR
2022-11-23T01:32:32.1317374Z 
2022-11-23T01:32:32.1317516Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1317656Z               36 LOAD_METHOD              2 (clone)
2022-11-23T01:32:32.1317791Z               38 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1317927Z               40 CALL_METHOD              1
2022-11-23T01:32:32.1318058Z               42 STORE_FAST               3 (c)
2022-11-23T01:32:32.1318074Z 
2022-11-23T01:32:32.1318207Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T01:32:32.1318343Z               46 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1318478Z               48 LOAD_CONST               5 (4)
2022-11-23T01:32:32.1318617Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1318755Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1318889Z               54 BUILD_SLICE              2
2022-11-23T01:32:32.1319022Z               56 BUILD_TUPLE              2
2022-11-23T01:32:32.1319132Z               58 STORE_SUBSCR
2022-11-23T01:32:32.1319140Z 
2022-11-23T01:32:32.1319276Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1319411Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1319525Z               64 BINARY_ADD
2022-11-23T01:32:32.1319662Z               66 STORE_FAST               4 (d)
2022-11-23T01:32:32.1319669Z 
2022-11-23T01:32:32.1319839Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T01:32:32.1319995Z               70 LOAD_FAST                2 (b)
2022-11-23T01:32:32.1320129Z               72 LOAD_FAST                3 (c)
2022-11-23T01:32:32.1320255Z               74 LOAD_FAST                4 (d)
2022-11-23T01:32:32.1320390Z               76 BUILD_TUPLE              4
2022-11-23T01:32:32.1320512Z               78 RETURN_VALUE
2022-11-23T01:32:32.1320614Z  
2022-11-23T01:32:32.1320621Z 
2022-11-23T01:32:32.1321090Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291
2022-11-23T01:32:32.1321419Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1321963Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1322448Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1322969Z [2022-11-23 01:30:17,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1323315Z [2022-11-23 01:30:17,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:32.1323773Z [2022-11-23 01:30:17,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292
2022-11-23T01:32:32.1324084Z [2022-11-23 01:30:17,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1324434Z [2022-11-23 01:30:17,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.1324850Z [2022-11-23 01:30:17,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1325198Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.1325656Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293
2022-11-23T01:32:32.1325975Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T01:32:32.1326340Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:32.1326748Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.1327226Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1327765Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1328211Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1328708Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1329167Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1329624Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294
2022-11-23T01:32:32.1329982Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1330519Z [2022-11-23 01:30:17,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1331012Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1331522Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1331872Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.1332314Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295
2022-11-23T01:32:32.1332637Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T01:32:32.1333005Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:32.1333415Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.1333883Z [2022-11-23 01:30:17,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1334416Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1335005Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1335510Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T01:32:32.1335970Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1336428Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296
2022-11-23T01:32:32.1336741Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1337087Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.1337499Z [2022-11-23 01:30:17,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1337851Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.1338310Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297
2022-11-23T01:32:32.1338626Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.1339211Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.1339613Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1340049Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1340523Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1340933Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1341518Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e9a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290>
2022-11-23T01:32:32.1341882Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1342227Z [2022-11-23 01:30:17,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1342600Z [2022-11-23 01:30:17,386] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1342970Z [2022-11-23 01:30:17,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1343251Z [2022-11-23 01:30:17,391] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1343459Z  __compiled_fn_719 <eval_with_key>.4437 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1343597Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1343951Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.1344226Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:32.1344584Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T01:32:32.1344933Z call_function, clone, <built-in method clone of type object at 0x7f209c394c60>, (zeros_like,), {}
2022-11-23T01:32:32.1345293Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T01:32:32.1345571Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:32.1345760Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T01:32:32.1345768Z 
2022-11-23T01:32:32.1346251Z [2022-11-23 01:30:17,392] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1346402Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1346533Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1346669Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1346812Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1346946Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1347083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1347201Z              12 RETURN_VALUE
2022-11-23T01:32:32.1347209Z 
2022-11-23T01:32:32.1347308Z  
2022-11-23T01:32:32.1347768Z [2022-11-23 01:30:17,392] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1347940Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_719)
2022-11-23T01:32:32.1348081Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1348224Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1348348Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1348484Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1348646Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1348805Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1348934Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1349055Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1349214Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1349350Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1349469Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1349620Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1349754Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1349864Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1350060Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1350199Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.1350463Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1350601Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.1350720Z              38 RETURN_VALUE
2022-11-23T01:32:32.1350728Z 
2022-11-23T01:32:32.1350825Z  
2022-11-23T01:32:32.1351094Z [2022-11-23 01:30:17,392] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1351208Z  - 
2022-11-23T01:32:32.1351389Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1351492Z             {
2022-11-23T01:32:32.1351706Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1351986Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1352172Z                 'obj_weakref': None
2022-11-23T01:32:32.1352514Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1352627Z             }
2022-11-23T01:32:32.1352749Z             
2022-11-23T01:32:32.1352868Z  - 
2022-11-23T01:32:32.1353057Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1353158Z             {
2022-11-23T01:32:32.1353373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1353529Z                 'code': None,
2022-11-23T01:32:32.1353843Z                 'obj_weakref': <weakref at 0x7f1ffad70db0; to 'Tensor' at 0x7f2151f03d30>
2022-11-23T01:32:32.1354204Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1354309Z             }
2022-11-23T01:32:32.1354411Z             
2022-11-23T01:32:32.1354523Z  - 
2022-11-23T01:32:32.1354720Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1354813Z             {
2022-11-23T01:32:32.1355017Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1355270Z                 'code': ['___check_obj_id(model, 139780375598352)'],
2022-11-23T01:32:32.1355456Z                 'obj_weakref': None
2022-11-23T01:32:32.1355791Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1355897Z             }
2022-11-23T01:32:32.1355997Z             
2022-11-23T01:32:32.1356099Z  - 
2022-11-23T01:32:32.1356287Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1356391Z             {
2022-11-23T01:32:32.1356600Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1356926Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1357109Z                 'obj_weakref': None
2022-11-23T01:32:32.1357433Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1357525Z             }
2022-11-23T01:32:32.1357626Z             
2022-11-23T01:32:32.1357737Z  - 
2022-11-23T01:32:32.1357940Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1358043Z             {
2022-11-23T01:32:32.1358229Z                 'guard_types': None,
2022-11-23T01:32:32.1358397Z                 'code': None,
2022-11-23T01:32:32.1358568Z                 'obj_weakref': None
2022-11-23T01:32:32.1358754Z                 'guarded_class': None
2022-11-23T01:32:32.1358855Z             }
2022-11-23T01:32:32.1358955Z             
2022-11-23T01:32:32.1359343Z [2022-11-23 01:30:17,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 702
2022-11-23T01:32:32.1359770Z [2022-11-23 01:30:17,418] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1360131Z [2022-11-23 01:30:17,419] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.1360489Z [2022-11-23 01:30:17,421] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.1360838Z [2022-11-23 01:30:17,422] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:32.1361246Z [2022-11-23 01:30:17,422] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:32.1361278Z 
2022-11-23T01:32:32.1361425Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1361534Z import torch
2022-11-23T01:32:32.1361644Z import random
2022-11-23T01:32:32.1361822Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1362005Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1362013Z 
2022-11-23T01:32:32.1362134Z aten = torch.ops.aten
2022-11-23T01:32:32.1362327Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1362471Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1362479Z 
2022-11-23T01:32:32.1362590Z import triton
2022-11-23T01:32:32.1362727Z import triton.language as tl
2022-11-23T01:32:32.1362912Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1363119Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1363131Z 
2022-11-23T01:32:32.1363139Z 
2022-11-23T01:32:32.1363402Z triton_fused_add_zeros_like0 = async_compile.triton('''
2022-11-23T01:32:32.1363512Z import triton
2022-11-23T01:32:32.1363641Z import triton.language as tl
2022-11-23T01:32:32.1363808Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1363959Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1364156Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1364340Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1364348Z 
2022-11-23T01:32:32.1364896Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1365008Z @triton.jit
2022-11-23T01:32:32.1365196Z def kernel(out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1365306Z     xnumel = 64
2022-11-23T01:32:32.1365457Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1365650Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1365774Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1365879Z     x0 = xindex
2022-11-23T01:32:32.1365984Z     tmp0 = 0
2022-11-23T01:32:32.1366081Z     tmp1 = 1
2022-11-23T01:32:32.1366197Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1366398Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1366593Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1366722Z ''')
2022-11-23T01:32:32.1366730Z 
2022-11-23T01:32:32.1366737Z 
2022-11-23T01:32:32.1367072Z triton_fused_zeros_like_fill__select_lift_fresh_copy_slice_11 = async_compile.triton('''
2022-11-23T01:32:32.1367184Z import triton
2022-11-23T01:32:32.1367324Z import triton.language as tl
2022-11-23T01:32:32.1367484Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1367639Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1367835Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1368023Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1368031Z 
2022-11-23T01:32:32.1368549Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.1368656Z @triton.jit
2022-11-23T01:32:32.1368834Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1368941Z     xnumel = 8
2022-11-23T01:32:32.1369076Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1369270Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1369394Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1369502Z     x0 = xindex
2022-11-23T01:32:32.1369609Z     tmp0 = 3.0
2022-11-23T01:32:32.1369810Z     tl.store(out_ptr0 + (3 + (8*x0) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1369973Z ''')
2022-11-23T01:32:32.1370007Z 
2022-11-23T01:32:32.1370014Z 
2022-11-23T01:32:32.1370266Z triton_fused_clone_zeros_like2 = async_compile.triton('''
2022-11-23T01:32:32.1370376Z import triton
2022-11-23T01:32:32.1370514Z import triton.language as tl
2022-11-23T01:32:32.1370682Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1370835Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1371032Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1371216Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1371224Z 
2022-11-23T01:32:32.1371767Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1371866Z @triton.jit
2022-11-23T01:32:32.1372062Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1372173Z     xnumel = 64
2022-11-23T01:32:32.1372317Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1372512Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1372637Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1372741Z     x0 = xindex
2022-11-23T01:32:32.1372875Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.1373072Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1373201Z ''')
2022-11-23T01:32:32.1373209Z 
2022-11-23T01:32:32.1373216Z 
2022-11-23T01:32:32.1373561Z triton_fused_slice_2_select_1_zeros_like_fill__1_lift_fresh_copy_13 = async_compile.triton('''
2022-11-23T01:32:32.1373671Z import triton
2022-11-23T01:32:32.1373808Z import triton.language as tl
2022-11-23T01:32:32.1373975Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1374125Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1374311Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1374499Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1374510Z 
2022-11-23T01:32:32.1375018Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.1375127Z @triton.jit
2022-11-23T01:32:32.1375304Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1375411Z     xnumel = 8
2022-11-23T01:32:32.1375555Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1375744Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1375858Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1375963Z     x0 = xindex
2022-11-23T01:32:32.1376071Z     tmp0 = 4.0
2022-11-23T01:32:32.1376272Z     tl.store(out_ptr0 + (32 + x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1376399Z ''')
2022-11-23T01:32:32.1376407Z 
2022-11-23T01:32:32.1376414Z 
2022-11-23T01:32:32.1376674Z triton_fused_add_1_zeros_like4 = async_compile.triton('''
2022-11-23T01:32:32.1376790Z import triton
2022-11-23T01:32:32.1376920Z import triton.language as tl
2022-11-23T01:32:32.1377085Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1377235Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1377428Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1377613Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1377621Z 
2022-11-23T01:32:32.1378153Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1378261Z @triton.jit
2022-11-23T01:32:32.1378454Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1378554Z     xnumel = 64
2022-11-23T01:32:32.1378696Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1379108Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1379271Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1379378Z     x0 = xindex
2022-11-23T01:32:32.1379521Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.1379628Z     tmp1 = 1
2022-11-23T01:32:32.1379737Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1379935Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1380069Z ''')
2022-11-23T01:32:32.1380077Z 
2022-11-23T01:32:32.1380084Z 
2022-11-23T01:32:32.1380221Z async_compile.wait(globals())
2022-11-23T01:32:32.1380336Z del async_compile
2022-11-23T01:32:32.1380344Z 
2022-11-23T01:32:32.1380459Z def call(args):
2022-11-23T01:32:32.1380570Z     arg0_1, = args
2022-11-23T01:32:32.1380673Z     args.clear()
2022-11-23T01:32:32.1380966Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1381258Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1381399Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1381619Z     triton_fused_add_zeros_like0.run(buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1381873Z     triton_fused_zeros_like_fill__select_lift_fresh_copy_slice_11.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1382163Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1382378Z     triton_fused_clone_zeros_like2.run(buf0, buf3, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1382626Z     triton_fused_slice_2_select_1_zeros_like_fill__1_lift_fresh_copy_13.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1382913Z     buf5 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1383124Z     triton_fused_add_1_zeros_like4.run(buf0, buf5, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1383261Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T01:32:32.1383269Z 
2022-11-23T01:32:32.1383275Z 
2022-11-23T01:32:32.1383396Z if __name__ == "__main__":
2022-11-23T01:32:32.1383572Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1383760Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1384051Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1384207Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1384223Z 
2022-11-23T01:32:32.1384747Z [2022-11-23 01:30:17,510] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6p/c6ppxdhsxz3bifzbw6z224g3fvesawoxhp5xlyf5gzo3phiqrmdu.py
2022-11-23T01:32:32.1385140Z [2022-11-23 01:30:17,511] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 702
2022-11-23T01:32:32.1385148Z 
2022-11-23T01:32:32.1385295Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1385405Z import torch
2022-11-23T01:32:32.1385517Z import random
2022-11-23T01:32:32.1385695Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1385882Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1385892Z 
2022-11-23T01:32:32.1386016Z aten = torch.ops.aten
2022-11-23T01:32:32.1386210Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1386356Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1386364Z 
2022-11-23T01:32:32.1386475Z import triton
2022-11-23T01:32:32.1386612Z import triton.language as tl
2022-11-23T01:32:32.1386799Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1387005Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1387014Z 
2022-11-23T01:32:32.1387020Z 
2022-11-23T01:32:32.1387275Z triton_fused_add_zeros_like0 = async_compile.triton('''
2022-11-23T01:32:32.1387388Z import triton
2022-11-23T01:32:32.1387516Z import triton.language as tl
2022-11-23T01:32:32.1387685Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1387838Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1388067Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1388278Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1388286Z 
2022-11-23T01:32:32.1388835Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1388947Z @triton.jit
2022-11-23T01:32:32.1389143Z def kernel(out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1389243Z     xnumel = 64
2022-11-23T01:32:32.1389388Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1389579Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1389702Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1389807Z     x0 = xindex
2022-11-23T01:32:32.1389915Z     tmp0 = 0
2022-11-23T01:32:32.1390012Z     tmp1 = 1
2022-11-23T01:32:32.1390132Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1390412Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1390613Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1390748Z ''')
2022-11-23T01:32:32.1390756Z 
2022-11-23T01:32:32.1390762Z 
2022-11-23T01:32:32.1391102Z triton_fused_slice_1_fill__zeros_like_lift_fresh_copy_select1 = async_compile.triton('''
2022-11-23T01:32:32.1391218Z import triton
2022-11-23T01:32:32.1391354Z import triton.language as tl
2022-11-23T01:32:32.1391513Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1391666Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1391862Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1392046Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1392053Z 
2022-11-23T01:32:32.1392573Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.1392682Z @triton.jit
2022-11-23T01:32:32.1392864Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1392972Z     xnumel = 8
2022-11-23T01:32:32.1393108Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1393298Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1393422Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1393526Z     x0 = xindex
2022-11-23T01:32:32.1393633Z     tmp0 = 3.0
2022-11-23T01:32:32.1393834Z     tl.store(out_ptr0 + (3 + (8*x0) + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1393962Z ''')
2022-11-23T01:32:32.1393970Z 
2022-11-23T01:32:32.1393977Z 
2022-11-23T01:32:32.1394226Z triton_fused_clone_zeros_like2 = async_compile.triton('''
2022-11-23T01:32:32.1394338Z import triton
2022-11-23T01:32:32.1394477Z import triton.language as tl
2022-11-23T01:32:32.1394645Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1394799Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1394990Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1395178Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1395187Z 
2022-11-23T01:32:32.1395724Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1395823Z @triton.jit
2022-11-23T01:32:32.1396015Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1396129Z     xnumel = 64
2022-11-23T01:32:32.1396276Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1396466Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1396590Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1396697Z     x0 = xindex
2022-11-23T01:32:32.1396859Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.1397094Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1397252Z ''')
2022-11-23T01:32:32.1397260Z 
2022-11-23T01:32:32.1397267Z 
2022-11-23T01:32:32.1397608Z triton_fused_lift_fresh_copy_1_select_1_fill__1_slice_2_zeros_like3 = async_compile.triton('''
2022-11-23T01:32:32.1397719Z import triton
2022-11-23T01:32:32.1397856Z import triton.language as tl
2022-11-23T01:32:32.1398022Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1398173Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1398357Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1398540Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1398548Z 
2022-11-23T01:32:32.1399059Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.1399169Z @triton.jit
2022-11-23T01:32:32.1399351Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1399462Z     xnumel = 8
2022-11-23T01:32:32.1399604Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1399791Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1399905Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1400009Z     x0 = xindex
2022-11-23T01:32:32.1400116Z     tmp0 = 4.0
2022-11-23T01:32:32.1400315Z     tl.store(out_ptr0 + (32 + x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1400441Z ''')
2022-11-23T01:32:32.1400448Z 
2022-11-23T01:32:32.1400455Z 
2022-11-23T01:32:32.1400712Z triton_fused_add_1_zeros_like4 = async_compile.triton('''
2022-11-23T01:32:32.1400822Z import triton
2022-11-23T01:32:32.1400951Z import triton.language as tl
2022-11-23T01:32:32.1401119Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1401270Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1401461Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1401650Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1401662Z 
2022-11-23T01:32:32.1402205Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1402313Z @triton.jit
2022-11-23T01:32:32.1402506Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1402605Z     xnumel = 64
2022-11-23T01:32:32.1402748Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1402937Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1403059Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1403162Z     x0 = xindex
2022-11-23T01:32:32.1403332Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.1403438Z     tmp1 = 1
2022-11-23T01:32:32.1403546Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1403745Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.1403876Z ''')
2022-11-23T01:32:32.1403884Z 
2022-11-23T01:32:32.1403891Z 
2022-11-23T01:32:32.1404029Z async_compile.wait(globals())
2022-11-23T01:32:32.1404141Z del async_compile
2022-11-23T01:32:32.1404149Z 
2022-11-23T01:32:32.1404257Z def call(args):
2022-11-23T01:32:32.1404364Z     arg0_1, = args
2022-11-23T01:32:32.1404474Z     args.clear()
2022-11-23T01:32:32.1404755Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1405042Z     buf1 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1405175Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1405392Z     triton_fused_add_zeros_like0.run(buf0, buf1, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1405649Z     triton_fused_slice_1_fill__zeros_like_lift_fresh_copy_select1.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1405978Z     buf3 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1406194Z     triton_fused_clone_zeros_like2.run(buf0, buf3, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1406473Z     triton_fused_lift_fresh_copy_1_select_1_fill__1_slice_2_zeros_like3.run(buf0, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1406763Z     buf5 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1406977Z     triton_fused_add_1_zeros_like4.run(buf0, buf5, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.1407112Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T01:32:32.1407120Z 
2022-11-23T01:32:32.1407127Z 
2022-11-23T01:32:32.1407243Z if __name__ == "__main__":
2022-11-23T01:32:32.1407416Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1407602Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1407890Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1408053Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1408064Z 
2022-11-23T01:32:32.1408163Z ok (0.272s)
2022-11-23T01:32:32.1408625Z   test_slice_mutation2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.1409092Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3304
2022-11-23T01:32:32.1409409Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1409770Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1410196Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1410686Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1411073Z [2022-11-23 01:30:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1411518Z [2022-11-23 01:30:17,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1412010Z [2022-11-23 01:30:17,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1412431Z [2022-11-23 01:30:17,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1412839Z [2022-11-23 01:30:17,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1413187Z [2022-11-23 01:30:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.1413604Z [2022-11-23 01:30:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1413958Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1414358Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1414822Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1415341Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1415770Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1416283Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1416830Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1417299Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1417741Z [2022-11-23 01:30:17,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1418199Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3305
2022-11-23T01:32:32.1418510Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.1419009Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:32.1419445Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1419930Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1420317Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1420763Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1421257Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1421681Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1422089Z [2022-11-23 01:30:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1422438Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.1422854Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1423201Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.1423602Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1424073Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1424600Z [2022-11-23 01:30:17,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1425027Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1425502Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1426033Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1426491Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1426994Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1427350Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
2022-11-23T01:32:32.1427741Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
2022-11-23T01:32:32.1428091Z [2022-11-23 01:30:17,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.1428449Z [2022-11-23 01:30:17,523] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.1428880Z [2022-11-23 01:30:17,528] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:32.1429267Z [2022-11-23 01:30:17,528] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:32.1429620Z [2022-11-23 01:30:17,528] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.1429899Z [2022-11-23 01:30:17,528] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1430108Z  __compiled_fn_720 <eval_with_key>.4440 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1430235Z placeholder, a, a, (), {}
2022-11-23T01:32:32.1430667Z call_function, getitem, <built-in function getitem>, (a, (slice(None, None, None), slice(20, 40, None))), {}
2022-11-23T01:32:32.1430935Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:32.1431299Z call_function, setitem, <built-in function setitem>, (a, (slice(None, None, None), slice(20, 40, None)), add), {}
2022-11-23T01:32:32.1431665Z call_function, getitem_1, <built-in function getitem>, (a, (slice(None, None, None), slice(1, 10, None))), {}
2022-11-23T01:32:32.1431935Z call_function, add_1, <built-in function add>, (getitem_1, 2), {}
2022-11-23T01:32:32.1432310Z call_function, setitem_1, <built-in function setitem>, (a, (slice(None, None, None), slice(2, 11, None)), add_1), {}
2022-11-23T01:32:32.1432447Z output, output, output, ((),), {}
2022-11-23T01:32:32.1432456Z 
2022-11-23T01:32:32.1432933Z [2022-11-23 01:30:17,529] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:32.1433075Z 3304           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1433220Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1433359Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1433496Z                6 BUILD_SLICE              2
2022-11-23T01:32:32.1433637Z                8 LOAD_CONST               1 (20)
2022-11-23T01:32:32.1433776Z               10 LOAD_CONST               2 (40)
2022-11-23T01:32:32.1433902Z               12 BUILD_SLICE              2
2022-11-23T01:32:32.1434039Z               14 BUILD_TUPLE              2
2022-11-23T01:32:32.1434164Z               16 BINARY_SUBSCR
2022-11-23T01:32:32.1434308Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1434427Z               20 BINARY_ADD
2022-11-23T01:32:32.1434568Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1434710Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1434839Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1434973Z               28 BUILD_SLICE              2
2022-11-23T01:32:32.1435107Z               30 LOAD_CONST               1 (20)
2022-11-23T01:32:32.1435245Z               32 LOAD_CONST               2 (40)
2022-11-23T01:32:32.1435377Z               34 BUILD_SLICE              2
2022-11-23T01:32:32.1435512Z               36 BUILD_TUPLE              2
2022-11-23T01:32:32.1435631Z               38 STORE_SUBSCR
2022-11-23T01:32:32.1435639Z 
2022-11-23T01:32:32.1435767Z 3305          40 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1435910Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1436087Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1436245Z               46 BUILD_SLICE              2
2022-11-23T01:32:32.1436384Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1436524Z               50 LOAD_CONST               4 (10)
2022-11-23T01:32:32.1436657Z               52 BUILD_SLICE              2
2022-11-23T01:32:32.1436783Z               54 BUILD_TUPLE              2
2022-11-23T01:32:32.1436904Z               56 BINARY_SUBSCR
2022-11-23T01:32:32.1437043Z               58 LOAD_CONST               5 (2)
2022-11-23T01:32:32.1437158Z               60 BINARY_ADD
2022-11-23T01:32:32.1437295Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1437435Z               64 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1437573Z               66 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1437694Z               68 BUILD_SLICE              2
2022-11-23T01:32:32.1437824Z               70 LOAD_CONST               5 (2)
2022-11-23T01:32:32.1437945Z               72 LOAD_CONST               6 (11)
2022-11-23T01:32:32.1438083Z               74 BUILD_SLICE              2
2022-11-23T01:32:32.1438218Z               76 BUILD_TUPLE              2
2022-11-23T01:32:32.1438337Z               78 STORE_SUBSCR
2022-11-23T01:32:32.1438475Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1438585Z               82 RETURN_VALUE
2022-11-23T01:32:32.1438603Z 
2022-11-23T01:32:32.1438691Z  
2022-11-23T01:32:32.1439178Z [2022-11-23 01:30:17,529] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:32.1439349Z 3303           0 LOAD_GLOBAL              0 (__compiled_fn_720)
2022-11-23T01:32:32.1439488Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1439625Z                4 CALL_FUNCTION            1
2022-11-23T01:32:32.1439739Z                6 POP_TOP
2022-11-23T01:32:32.1439882Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1439994Z               10 RETURN_VALUE
2022-11-23T01:32:32.1440002Z 
2022-11-23T01:32:32.1440099Z  
2022-11-23T01:32:32.1440370Z [2022-11-23 01:30:17,529] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1440482Z  - 
2022-11-23T01:32:32.1440665Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:32.1440765Z             {
2022-11-23T01:32:32.1440979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1441134Z                 'code': None,
2022-11-23T01:32:32.1441450Z                 'obj_weakref': <weakref at 0x7f1fd81b9170; to 'Tensor' at 0x7f1ff8150cc0>
2022-11-23T01:32:32.1441811Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1441914Z             }
2022-11-23T01:32:32.1442016Z             
2022-11-23T01:32:32.1442122Z ok (0.017s)
2022-11-23T01:32:32.1442590Z   test_slice_scatter2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1443056Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1443371Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1443748Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1444157Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1444631Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1445178Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1445656Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1446223Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657> 
2022-11-23T01:32:32.1446370Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1446531Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1446671Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1446799Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1446934Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1447070Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1447224Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:32.1447362Z               14 CALL_METHOD              5
2022-11-23T01:32:32.1447483Z               16 RETURN_VALUE
2022-11-23T01:32:32.1447581Z  
2022-11-23T01:32:32.1447589Z 
2022-11-23T01:32:32.1448041Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658
2022-11-23T01:32:32.1448362Z [2022-11-23 01:30:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.1448828Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1449216Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1449641Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1450112Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1450632Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1451229Z [2022-11-23 01:30:17,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1451866Z [2022-11-23 01:30:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1452229Z [2022-11-23 01:30:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1452777Z [2022-11-23 01:30:17,547] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657>
2022-11-23T01:32:32.1453133Z [2022-11-23 01:30:17,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1453480Z [2022-11-23 01:30:17,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1453858Z [2022-11-23 01:30:17,548] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1454228Z [2022-11-23 01:30:17,551] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1454511Z [2022-11-23 01:30:17,551] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1454716Z  __compiled_fn_721 <eval_with_key>.4446 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1454857Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1455028Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1455275Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:32.1455433Z output, output, output, ((slice_scatter,),), {}
2022-11-23T01:32:32.1455441Z 
2022-11-23T01:32:32.1455918Z [2022-11-23 01:30:17,551] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1456064Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1456203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1456338Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1456480Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1456612Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1456748Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1456857Z              12 RETURN_VALUE
2022-11-23T01:32:32.1456865Z 
2022-11-23T01:32:32.1456964Z  
2022-11-23T01:32:32.1457435Z [2022-11-23 01:30:17,551] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1457607Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_721)
2022-11-23T01:32:32.1457743Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1457880Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1457999Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1458125Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1458261Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1458379Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1458515Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1458656Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.1458773Z              18 RETURN_VALUE
2022-11-23T01:32:32.1458781Z 
2022-11-23T01:32:32.1459006Z  
2022-11-23T01:32:32.1459285Z [2022-11-23 01:30:17,552] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1459400Z  - 
2022-11-23T01:32:32.1459582Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1459685Z             {
2022-11-23T01:32:32.1459901Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1460178Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1460361Z                 'obj_weakref': None
2022-11-23T01:32:32.1460687Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1460781Z             }
2022-11-23T01:32:32.1460881Z             
2022-11-23T01:32:32.1460993Z  - 
2022-11-23T01:32:32.1461183Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1461286Z             {
2022-11-23T01:32:32.1461506Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1461663Z                 'code': None,
2022-11-23T01:32:32.1461978Z                 'obj_weakref': <weakref at 0x7f1fd81b8770; to 'Tensor' at 0x7f1ffadb0360>
2022-11-23T01:32:32.1462343Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1462450Z             }
2022-11-23T01:32:32.1462552Z             
2022-11-23T01:32:32.1462663Z  - 
2022-11-23T01:32:32.1462849Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1462941Z             {
2022-11-23T01:32:32.1463154Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1463321Z                 'code': None,
2022-11-23T01:32:32.1463633Z                 'obj_weakref': <weakref at 0x7f1fd81ba610; to 'Tensor' at 0x7f1ffadb31f0>
2022-11-23T01:32:32.1463993Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1464093Z             }
2022-11-23T01:32:32.1464192Z             
2022-11-23T01:32:32.1464293Z  - 
2022-11-23T01:32:32.1464491Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1464654Z             {
2022-11-23T01:32:32.1464860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1465150Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1465333Z                 'obj_weakref': None
2022-11-23T01:32:32.1465668Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1465769Z             }
2022-11-23T01:32:32.1465860Z             
2022-11-23T01:32:32.1465971Z  - 
2022-11-23T01:32:32.1466157Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1466258Z             {
2022-11-23T01:32:32.1466463Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1466783Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1466955Z                 'obj_weakref': None
2022-11-23T01:32:32.1467280Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1467384Z             }
2022-11-23T01:32:32.1467488Z             
2022-11-23T01:32:32.1467601Z  - 
2022-11-23T01:32:32.1467802Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.1467904Z             {
2022-11-23T01:32:32.1468079Z                 'guard_types': None,
2022-11-23T01:32:32.1468244Z                 'code': None,
2022-11-23T01:32:32.1468427Z                 'obj_weakref': None
2022-11-23T01:32:32.1468613Z                 'guarded_class': None
2022-11-23T01:32:32.1468713Z             }
2022-11-23T01:32:32.1468813Z             
2022-11-23T01:32:32.1469193Z [2022-11-23 01:30:17,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 703
2022-11-23T01:32:32.1469549Z [2022-11-23 01:30:17,562] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.1470077Z [2022-11-23 01:30:17,624] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y6/cy6gnpc6xr2nrkv75k6uqpfh6zfrastfo4g5kfnypwqsfbjujwvq.py
2022-11-23T01:32:32.1470561Z [2022-11-23 01:30:17,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 703
2022-11-23T01:32:32.1470922Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1471383Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1471706Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1472076Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1472486Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1472960Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1473462Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1473926Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1474466Z [2022-11-23 01:30:17,628] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657> 
2022-11-23T01:32:32.1474614Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1474777Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1474918Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1475055Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1475246Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1475384Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1475557Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:32.1475698Z               14 CALL_METHOD              5
2022-11-23T01:32:32.1475816Z               16 RETURN_VALUE
2022-11-23T01:32:32.1475914Z  
2022-11-23T01:32:32.1475921Z 
2022-11-23T01:32:32.1476386Z [2022-11-23 01:30:17,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658
2022-11-23T01:32:32.1476707Z [2022-11-23 01:30:17,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.1477170Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1477555Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1477989Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1478449Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1478961Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1479555Z [2022-11-23 01:30:17,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1480195Z [2022-11-23 01:30:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1480562Z [2022-11-23 01:30:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1481107Z [2022-11-23 01:30:17,635] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657>
2022-11-23T01:32:32.1481471Z [2022-11-23 01:30:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1481814Z [2022-11-23 01:30:17,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1482188Z [2022-11-23 01:30:17,636] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1482558Z [2022-11-23 01:30:17,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1482840Z [2022-11-23 01:30:17,639] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1483035Z  __compiled_fn_722 <eval_with_key>.4452 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1483178Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1483312Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1483531Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:32.1483694Z output, output, output, ((slice_scatter,),), {}
2022-11-23T01:32:32.1483702Z 
2022-11-23T01:32:32.1484179Z [2022-11-23 01:30:17,639] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1484323Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1484464Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1484588Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1484733Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1484903Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1485068Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1485189Z              12 RETURN_VALUE
2022-11-23T01:32:32.1485197Z 
2022-11-23T01:32:32.1485293Z  
2022-11-23T01:32:32.1485765Z [2022-11-23 01:30:17,639] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1485934Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_722)
2022-11-23T01:32:32.1486062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1486199Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1486324Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1486462Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1486595Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1486713Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1486848Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1486983Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.1487106Z              18 RETURN_VALUE
2022-11-23T01:32:32.1487114Z 
2022-11-23T01:32:32.1487209Z  
2022-11-23T01:32:32.1487484Z [2022-11-23 01:30:17,640] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1487594Z  - 
2022-11-23T01:32:32.1487773Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1487874Z             {
2022-11-23T01:32:32.1488077Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1488354Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1488535Z                 'obj_weakref': None
2022-11-23T01:32:32.1488858Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1488960Z             }
2022-11-23T01:32:32.1489059Z             
2022-11-23T01:32:32.1489169Z  - 
2022-11-23T01:32:32.1489348Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1489451Z             {
2022-11-23T01:32:32.1489670Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1489840Z                 'code': None,
2022-11-23T01:32:32.1490147Z                 'obj_weakref': <weakref at 0x7f1fead2af70; to 'Tensor' at 0x7f2151f03d80>
2022-11-23T01:32:32.1490509Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1490609Z             }
2022-11-23T01:32:32.1490700Z             
2022-11-23T01:32:32.1490809Z  - 
2022-11-23T01:32:32.1490995Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1491096Z             {
2022-11-23T01:32:32.1491306Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1491471Z                 'code': None,
2022-11-23T01:32:32.1491785Z                 'obj_weakref': <weakref at 0x7f1fd81bbfb0; to 'Tensor' at 0x7f1ffadc34c0>
2022-11-23T01:32:32.1492138Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1492243Z             }
2022-11-23T01:32:32.1492344Z             
2022-11-23T01:32:32.1492454Z  - 
2022-11-23T01:32:32.1492656Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1492759Z             {
2022-11-23T01:32:32.1492961Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1493206Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1493387Z                 'obj_weakref': None
2022-11-23T01:32:32.1493721Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1493824Z             }
2022-11-23T01:32:32.1493924Z             
2022-11-23T01:32:32.1494034Z  - 
2022-11-23T01:32:32.1494222Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1494313Z             {
2022-11-23T01:32:32.1494517Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1494835Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1495073Z                 'obj_weakref': None
2022-11-23T01:32:32.1495424Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1495526Z             }
2022-11-23T01:32:32.1495626Z             
2022-11-23T01:32:32.1495725Z  - 
2022-11-23T01:32:32.1495923Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.1496025Z             {
2022-11-23T01:32:32.1496208Z                 'guard_types': None,
2022-11-23T01:32:32.1496370Z                 'code': None,
2022-11-23T01:32:32.1496552Z                 'obj_weakref': None
2022-11-23T01:32:32.1496738Z                 'guarded_class': None
2022-11-23T01:32:32.1496827Z             }
2022-11-23T01:32:32.1496928Z             
2022-11-23T01:32:32.1497312Z [2022-11-23 01:30:17,643] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 704
2022-11-23T01:32:32.1497681Z [2022-11-23 01:30:17,648] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.1498198Z [2022-11-23 01:30:17,709] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jl/cjlv6dv3d4m5mn7cwy62yn7ue7nhe4kz24mdjiq2ns5ollnnrpbl.py
2022-11-23T01:32:32.1498593Z [2022-11-23 01:30:17,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 704
2022-11-23T01:32:32.1498602Z 
2022-11-23T01:32:32.1498747Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1498974Z import torch
2022-11-23T01:32:32.1499080Z import random
2022-11-23T01:32:32.1499257Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1499441Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1499449Z 
2022-11-23T01:32:32.1499572Z aten = torch.ops.aten
2022-11-23T01:32:32.1499775Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1499918Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1499926Z 
2022-11-23T01:32:32.1500040Z import triton
2022-11-23T01:32:32.1500185Z import triton.language as tl
2022-11-23T01:32:32.1500362Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1500575Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1500583Z 
2022-11-23T01:32:32.1500590Z 
2022-11-23T01:32:32.1500851Z triton_fused_slice_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.1500963Z import triton
2022-11-23T01:32:32.1501100Z import triton.language as tl
2022-11-23T01:32:32.1501267Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1501419Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1501606Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1501793Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1501801Z 
2022-11-23T01:32:32.1502360Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1502469Z @triton.jit
2022-11-23T01:32:32.1502666Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1502778Z     xnumel = 605184
2022-11-23T01:32:32.1502921Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1503114Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1503231Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1503335Z     x0 = xindex
2022-11-23T01:32:32.1503481Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.1503678Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1503805Z ''')
2022-11-23T01:32:32.1503813Z 
2022-11-23T01:32:32.1503820Z 
2022-11-23T01:32:32.1503957Z async_compile.wait(globals())
2022-11-23T01:32:32.1504069Z del async_compile
2022-11-23T01:32:32.1504077Z 
2022-11-23T01:32:32.1504188Z def call(args):
2022-11-23T01:32:32.1504296Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1504407Z     args.clear()
2022-11-23T01:32:32.1504787Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1504958Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1505179Z     triton_fused_slice_scatter0.run(arg1_1, buf0, 605184, grid=grid(605184), stream=stream0)
2022-11-23T01:32:32.1505287Z     del arg1_1
2022-11-23T01:32:32.1505399Z     return (buf0, )
2022-11-23T01:32:32.1505407Z 
2022-11-23T01:32:32.1505414Z 
2022-11-23T01:32:32.1505522Z if __name__ == "__main__":
2022-11-23T01:32:32.1505696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1505885Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1506206Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1506518Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1506692Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1506700Z 
2022-11-23T01:32:32.1506710Z 
2022-11-23T01:32:32.1506854Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1506965Z import torch
2022-11-23T01:32:32.1507067Z import random
2022-11-23T01:32:32.1507243Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1507425Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1507433Z 
2022-11-23T01:32:32.1507553Z aten = torch.ops.aten
2022-11-23T01:32:32.1507756Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1507896Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1507904Z 
2022-11-23T01:32:32.1508014Z import triton
2022-11-23T01:32:32.1508151Z import triton.language as tl
2022-11-23T01:32:32.1508329Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1508533Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1508541Z 
2022-11-23T01:32:32.1508549Z 
2022-11-23T01:32:32.1508807Z triton_fused_slice_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.1508920Z import triton
2022-11-23T01:32:32.1509055Z import triton.language as tl
2022-11-23T01:32:32.1509222Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1509374Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1509570Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1509745Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1509754Z 
2022-11-23T01:32:32.1510379Z @pointwise(size_hints=[1048576], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1510489Z @triton.jit
2022-11-23T01:32:32.1510681Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1510793Z     xnumel = 605184
2022-11-23T01:32:32.1510937Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1511131Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1511253Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1511352Z     x0 = xindex
2022-11-23T01:32:32.1511525Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.1511720Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.1511851Z ''')
2022-11-23T01:32:32.1511859Z 
2022-11-23T01:32:32.1511866Z 
2022-11-23T01:32:32.1512004Z async_compile.wait(globals())
2022-11-23T01:32:32.1512118Z del async_compile
2022-11-23T01:32:32.1512125Z 
2022-11-23T01:32:32.1512237Z def call(args):
2022-11-23T01:32:32.1512345Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1512459Z     args.clear()
2022-11-23T01:32:32.1512779Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1512911Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1513133Z     triton_fused_slice_scatter0.run(arg1_1, buf0, 605184, grid=grid(605184), stream=stream0)
2022-11-23T01:32:32.1513241Z     del arg1_1
2022-11-23T01:32:32.1513400Z     return (buf0, )
2022-11-23T01:32:32.1513432Z 
2022-11-23T01:32:32.1513439Z 
2022-11-23T01:32:32.1513561Z if __name__ == "__main__":
2022-11-23T01:32:32.1513726Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1513914Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1514230Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1514540Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1514714Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1514722Z 
2022-11-23T01:32:32.1514826Z ok (0.180s)
2022-11-23T01:32:32.1515288Z   test_slice_scatter_cuda (__main__.CudaTests) ... [2022-11-23 01:30:17,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1515765Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1516084Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1516458Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1516870Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1517342Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1517853Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1518328Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1518884Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642> 
2022-11-23T01:32:32.1519029Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1519190Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1519331Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1519462Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:32.1519600Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1519744Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:32.1519952Z               12 LOAD_CONST               3 (-10)
2022-11-23T01:32:32.1520088Z               14 CALL_METHOD              5
2022-11-23T01:32:32.1520096Z 
2022-11-23T01:32:32.1520239Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1520402Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1520533Z               20 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1520669Z               22 LOAD_FAST                1 (a)
2022-11-23T01:32:32.1520816Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1520954Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1521090Z               28 BUILD_SLICE              2
2022-11-23T01:32:32.1521229Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1521372Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1521507Z               34 BUILD_SLICE              2
2022-11-23T01:32:32.1521635Z               36 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1521776Z               38 LOAD_CONST               4 (40)
2022-11-23T01:32:32.1521911Z               40 BUILD_SLICE              2
2022-11-23T01:32:32.1522047Z               42 BUILD_TUPLE              3
2022-11-23T01:32:32.1522204Z               44 BINARY_SUBSCR
2022-11-23T01:32:32.1522347Z               46 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1522550Z               48 LOAD_CONST               2 (10)
2022-11-23T01:32:32.1522755Z               50 LOAD_CONST               3 (-10)
2022-11-23T01:32:32.1522895Z               52 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1523032Z               54 CALL_METHOD              6
2022-11-23T01:32:32.1523040Z 
2022-11-23T01:32:32.1523174Z 3643          56 BUILD_TUPLE              2
2022-11-23T01:32:32.1523294Z               58 RETURN_VALUE
2022-11-23T01:32:32.1523391Z  
2022-11-23T01:32:32.1523399Z 
2022-11-23T01:32:32.1523853Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644
2022-11-23T01:32:32.1524180Z [2022-11-23 01:30:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.1524646Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1525037Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1525460Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1525931Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1526454Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1527031Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1527671Z [2022-11-23 01:30:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1528133Z [2022-11-23 01:30:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645
2022-11-23T01:32:32.1528495Z [2022-11-23 01:30:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.1528999Z [2022-11-23 01:30:17,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1529426Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1529898Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1530400Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1530978Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1531619Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1532208Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1532828Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1533530Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1534119Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1534770Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1535476Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1536100Z [2022-11-23 01:30:17,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1536660Z [2022-11-23 01:30:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1537163Z [2022-11-23 01:30:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1537724Z [2022-11-23 01:30:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1538350Z [2022-11-23 01:30:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1539113Z [2022-11-23 01:30:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1539854Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1540312Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643
2022-11-23T01:32:32.1540705Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1541070Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1541619Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642>
2022-11-23T01:32:32.1541982Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1542326Z [2022-11-23 01:30:17,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1542761Z [2022-11-23 01:30:17,732] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1543169Z [2022-11-23 01:30:17,735] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1543451Z [2022-11-23 01:30:17,736] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1543646Z  __compiled_fn_723 <eval_with_key>.4458 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1543775Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1543909Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1544212Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T01:32:32.1544648Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T01:32:32.1544969Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T01:32:32.1545168Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T01:32:32.1545180Z 
2022-11-23T01:32:32.1545657Z [2022-11-23 01:30:17,736] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1545801Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1545940Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1546065Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1546206Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1546338Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1546477Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1546593Z              12 RETURN_VALUE
2022-11-23T01:32:32.1546602Z 
2022-11-23T01:32:32.1546697Z  
2022-11-23T01:32:32.1547165Z [2022-11-23 01:30:17,736] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1547330Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_723)
2022-11-23T01:32:32.1547473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1547612Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1547734Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1547871Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1548004Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1548125Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1548260Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1548413Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1548569Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1548712Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1548831Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1548987Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1549128Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1549248Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1549379Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.1549496Z              32 RETURN_VALUE
2022-11-23T01:32:32.1549503Z 
2022-11-23T01:32:32.1549599Z  
2022-11-23T01:32:32.1549873Z [2022-11-23 01:30:17,737] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1549986Z  - 
2022-11-23T01:32:32.1550169Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1550368Z             {
2022-11-23T01:32:32.1550577Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1550857Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1551041Z                 'obj_weakref': None
2022-11-23T01:32:32.1551370Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1551472Z             }
2022-11-23T01:32:32.1551571Z             
2022-11-23T01:32:32.1551681Z  - 
2022-11-23T01:32:32.1551902Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1552029Z             {
2022-11-23T01:32:32.1552244Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1552411Z                 'code': None,
2022-11-23T01:32:32.1552720Z                 'obj_weakref': <weakref at 0x7f1ffad4fd30; to 'Tensor' at 0x7f20682077e0>
2022-11-23T01:32:32.1553084Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1553185Z             }
2022-11-23T01:32:32.1553277Z             
2022-11-23T01:32:32.1553387Z  - 
2022-11-23T01:32:32.1553575Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1553676Z             {
2022-11-23T01:32:32.1553891Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1554055Z                 'code': None,
2022-11-23T01:32:32.1554364Z                 'obj_weakref': <weakref at 0x7f1ffad4c9f0; to 'Tensor' at 0x7f20232a79c0>
2022-11-23T01:32:32.1554718Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1554821Z             }
2022-11-23T01:32:32.1554921Z             
2022-11-23T01:32:32.1555031Z  - 
2022-11-23T01:32:32.1555227Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1555327Z             {
2022-11-23T01:32:32.1555528Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1555774Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1555956Z                 'obj_weakref': None
2022-11-23T01:32:32.1556293Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1556394Z             }
2022-11-23T01:32:32.1556494Z             
2022-11-23T01:32:32.1556604Z  - 
2022-11-23T01:32:32.1556787Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1556880Z             {
2022-11-23T01:32:32.1557087Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1557412Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1557593Z                 'obj_weakref': None
2022-11-23T01:32:32.1557920Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1558022Z             }
2022-11-23T01:32:32.1558120Z             
2022-11-23T01:32:32.1558221Z  - 
2022-11-23T01:32:32.1558420Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.1558520Z             {
2022-11-23T01:32:32.1558702Z                 'guard_types': None,
2022-11-23T01:32:32.1558865Z                 'code': None,
2022-11-23T01:32:32.1559045Z                 'obj_weakref': None
2022-11-23T01:32:32.1559228Z                 'guarded_class': None
2022-11-23T01:32:32.1559320Z             }
2022-11-23T01:32:32.1559418Z             
2022-11-23T01:32:32.1559797Z [2022-11-23 01:30:17,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 705
2022-11-23T01:32:32.1560229Z [2022-11-23 01:30:17,768] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1560767Z [2022-11-23 01:30:17,859] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhpjdjeqjavtj2jsbjt4cdftn3brlm4em3d3cdu3f7wtwz65z4d.py
2022-11-23T01:32:32.1561156Z [2022-11-23 01:30:17,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 705
2022-11-23T01:32:32.1561505Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1561963Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1562276Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1562715Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1563118Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1563620Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1564123Z [2022-11-23 01:30:17,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1564597Z [2022-11-23 01:30:17,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1565141Z [2022-11-23 01:30:17,864] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642> 
2022-11-23T01:32:32.1565289Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1565446Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1565592Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1565722Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:32.1565859Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1566000Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:32.1566213Z               12 LOAD_CONST               3 (-10)
2022-11-23T01:32:32.1566352Z               14 CALL_METHOD              5
2022-11-23T01:32:32.1566360Z 
2022-11-23T01:32:32.1566503Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.1566663Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:32.1566802Z               20 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1566928Z               22 LOAD_FAST                1 (a)
2022-11-23T01:32:32.1567068Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1567207Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1567346Z               28 BUILD_SLICE              2
2022-11-23T01:32:32.1567486Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1567621Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1567754Z               34 BUILD_SLICE              2
2022-11-23T01:32:32.1567882Z               36 LOAD_CONST               0 (None)
2022-11-23T01:32:32.1568020Z               38 LOAD_CONST               4 (40)
2022-11-23T01:32:32.1568154Z               40 BUILD_SLICE              2
2022-11-23T01:32:32.1568291Z               42 BUILD_TUPLE              3
2022-11-23T01:32:32.1568418Z               44 BINARY_SUBSCR
2022-11-23T01:32:32.1568556Z               46 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1568695Z               48 LOAD_CONST               2 (10)
2022-11-23T01:32:32.1568896Z               50 LOAD_CONST               3 (-10)
2022-11-23T01:32:32.1569038Z               52 LOAD_CONST               1 (2)
2022-11-23T01:32:32.1569171Z               54 CALL_METHOD              6
2022-11-23T01:32:32.1569182Z 
2022-11-23T01:32:32.1569316Z 3643          56 BUILD_TUPLE              2
2022-11-23T01:32:32.1569434Z               58 RETURN_VALUE
2022-11-23T01:32:32.1569535Z  
2022-11-23T01:32:32.1569543Z 
2022-11-23T01:32:32.1570002Z [2022-11-23 01:30:17,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644
2022-11-23T01:32:32.1570334Z [2022-11-23 01:30:17,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.1570792Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1571179Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1571646Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1572141Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1572666Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1573249Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1573885Z [2022-11-23 01:30:17,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1574348Z [2022-11-23 01:30:17,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645
2022-11-23T01:32:32.1574713Z [2022-11-23 01:30:17,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.1575216Z [2022-11-23 01:30:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.1575643Z [2022-11-23 01:30:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:32.1576111Z [2022-11-23 01:30:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:32.1576619Z [2022-11-23 01:30:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1577197Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1577842Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1578393Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:32.1579140Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1579831Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1580423Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1581070Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.1581831Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:32.1582456Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:32.1583051Z [2022-11-23 01:30:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1583558Z [2022-11-23 01:30:17,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1584115Z [2022-11-23 01:30:17,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1584738Z [2022-11-23 01:30:17,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1585404Z [2022-11-23 01:30:17,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1586128Z [2022-11-23 01:30:17,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1586587Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643
2022-11-23T01:32:32.1586977Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1587345Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1587893Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642>
2022-11-23T01:32:32.1588255Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1588601Z [2022-11-23 01:30:17,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1588975Z [2022-11-23 01:30:17,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1589343Z [2022-11-23 01:30:17,885] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1589630Z [2022-11-23 01:30:17,885] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1589838Z  __compiled_fn_724 <eval_with_key>.4464 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1589967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1590105Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1590474Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T01:32:32.1590909Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T01:32:32.1591228Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T01:32:32.1591426Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T01:32:32.1591434Z 
2022-11-23T01:32:32.1591914Z [2022-11-23 01:30:17,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1592097Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1592237Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1592391Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1592533Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1592665Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1592802Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1592920Z              12 RETURN_VALUE
2022-11-23T01:32:32.1592928Z 
2022-11-23T01:32:32.1593025Z  
2022-11-23T01:32:32.1593494Z [2022-11-23 01:30:17,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1593662Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_724)
2022-11-23T01:32:32.1593793Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1593930Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1594050Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1594189Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1594328Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1594447Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1594586Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1594737Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1594895Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1595032Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1595152Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1595309Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1595443Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1595563Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1595690Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.1595806Z              32 RETURN_VALUE
2022-11-23T01:32:32.1595814Z 
2022-11-23T01:32:32.1595910Z  
2022-11-23T01:32:32.1596187Z [2022-11-23 01:30:17,887] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1596302Z  - 
2022-11-23T01:32:32.1596484Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1596584Z             {
2022-11-23T01:32:32.1596788Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1597067Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1597249Z                 'obj_weakref': None
2022-11-23T01:32:32.1597579Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1597681Z             }
2022-11-23T01:32:32.1597781Z             
2022-11-23T01:32:32.1597894Z  - 
2022-11-23T01:32:32.1598075Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1598176Z             {
2022-11-23T01:32:32.1598390Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1598555Z                 'code': None,
2022-11-23T01:32:32.1598864Z                 'obj_weakref': <weakref at 0x7f1fd8198040; to 'Tensor' at 0x7f2151f03d80>
2022-11-23T01:32:32.1599233Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1599335Z             }
2022-11-23T01:32:32.1599427Z             
2022-11-23T01:32:32.1599538Z  - 
2022-11-23T01:32:32.1599725Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1599824Z             {
2022-11-23T01:32:32.1600037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1600202Z                 'code': None,
2022-11-23T01:32:32.1600516Z                 'obj_weakref': <weakref at 0x7f1fd819b880; to 'Tensor' at 0x7f1fead28680>
2022-11-23T01:32:32.1600870Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1600972Z             }
2022-11-23T01:32:32.1601071Z             
2022-11-23T01:32:32.1601181Z  - 
2022-11-23T01:32:32.1601381Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1601518Z             {
2022-11-23T01:32:32.1601747Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1601993Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1602177Z                 'obj_weakref': None
2022-11-23T01:32:32.1602515Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1602618Z             }
2022-11-23T01:32:32.1602719Z             
2022-11-23T01:32:32.1602829Z  - 
2022-11-23T01:32:32.1603015Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1603108Z             {
2022-11-23T01:32:32.1603314Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1603631Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1603812Z                 'obj_weakref': None
2022-11-23T01:32:32.1604137Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1604243Z             }
2022-11-23T01:32:32.1604347Z             
2022-11-23T01:32:32.1604449Z  - 
2022-11-23T01:32:32.1604648Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.1604749Z             {
2022-11-23T01:32:32.1604933Z                 'guard_types': None,
2022-11-23T01:32:32.1605099Z                 'code': None,
2022-11-23T01:32:32.1605278Z                 'obj_weakref': None
2022-11-23T01:32:32.1605466Z                 'guarded_class': None
2022-11-23T01:32:32.1605557Z             }
2022-11-23T01:32:32.1605658Z             
2022-11-23T01:32:32.1606039Z [2022-11-23 01:30:17,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 706
2022-11-23T01:32:32.1606465Z [2022-11-23 01:30:17,909] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.1607006Z [2022-11-23 01:30:18,002] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gd/cgd3dnna4eyomee4ndrpagxmtdkmlxludcgi5baga55gbwoozt37.py
2022-11-23T01:32:32.1607399Z [2022-11-23 01:30:18,002] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 706
2022-11-23T01:32:32.1607408Z 
2022-11-23T01:32:32.1607554Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1607662Z import torch
2022-11-23T01:32:32.1607763Z import random
2022-11-23T01:32:32.1607938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1608119Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1608127Z 
2022-11-23T01:32:32.1608249Z aten = torch.ops.aten
2022-11-23T01:32:32.1608450Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1608594Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1608602Z 
2022-11-23T01:32:32.1608713Z import triton
2022-11-23T01:32:32.1608842Z import triton.language as tl
2022-11-23T01:32:32.1609030Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1609237Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1609248Z 
2022-11-23T01:32:32.1609256Z 
2022-11-23T01:32:32.1609606Z triton_fused_slice_2_slice_1_slice_scatter_1_slice_scatter_slice_30 = async_compile.triton('''
2022-11-23T01:32:32.1609716Z import triton
2022-11-23T01:32:32.1609853Z import triton.language as tl
2022-11-23T01:32:32.1610020Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1610171Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1610359Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1610545Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1610553Z 
2022-11-23T01:32:32.1611141Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.1611251Z @triton.jit
2022-11-23T01:32:32.1611514Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1611652Z     xnumel = 3200
2022-11-23T01:32:32.1611798Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1611992Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1612128Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1612263Z     x0 = xindex % 100
2022-11-23T01:32:32.1612387Z     x1 = (xindex // 100)
2022-11-23T01:32:32.1612494Z     x2 = xindex
2022-11-23T01:32:32.1612640Z     tmp8 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:32.1612745Z     tmp0 = x0
2022-11-23T01:32:32.1612849Z     tmp1 = 10
2022-11-23T01:32:32.1612958Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:32.1613063Z     tmp3 = 90
2022-11-23T01:32:32.1613180Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.1613296Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:32.1613642Z     tmp6 = tl.load(in_ptr0 + ((-10) + x0 + (80*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0)
2022-11-23T01:32:32.1613786Z     tmp7 = tl.where(tmp5, tmp6, 0.0)
2022-11-23T01:32:32.1613930Z     tmp9 = tl.where(tmp5, tmp7, tmp8)
2022-11-23T01:32:32.1614035Z     tmp10 = x0 % 2
2022-11-23T01:32:32.1614141Z     tmp11 = 0
2022-11-23T01:32:32.1614263Z     tmp12 = tmp10 == tmp11
2022-11-23T01:32:32.1614382Z     tmp13 = tmp5 & tmp12
2022-11-23T01:32:32.1614736Z     tmp14 = tl.load(in_ptr0 + ((-5) + (80*x1) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0)
2022-11-23T01:32:32.1614882Z     tmp15 = tl.where(tmp13, tmp14, 0.0)
2022-11-23T01:32:32.1615026Z     tmp16 = tl.where(tmp13, tmp15, tmp8)
2022-11-23T01:32:32.1615211Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:32.1615407Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:32.1615534Z ''')
2022-11-23T01:32:32.1615542Z 
2022-11-23T01:32:32.1615550Z 
2022-11-23T01:32:32.1615687Z async_compile.wait(globals())
2022-11-23T01:32:32.1615800Z del async_compile
2022-11-23T01:32:32.1615808Z 
2022-11-23T01:32:32.1615923Z def call(args):
2022-11-23T01:32:32.1616040Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1616153Z     args.clear()
2022-11-23T01:32:32.1616454Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1616760Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1616892Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1617177Z     triton_fused_slice_2_slice_1_slice_scatter_1_slice_scatter_slice_30.run(arg1_1, arg0_1, buf0, buf1, 3200, grid=grid(3200), stream=stream0)
2022-11-23T01:32:32.1617285Z     del arg0_1
2022-11-23T01:32:32.1617392Z     del arg1_1
2022-11-23T01:32:32.1617514Z     return (buf0, buf1, )
2022-11-23T01:32:32.1617521Z 
2022-11-23T01:32:32.1617528Z 
2022-11-23T01:32:32.1617645Z if __name__ == "__main__":
2022-11-23T01:32:32.1617809Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1618000Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1618312Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1618621Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1618922Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1618930Z 
2022-11-23T01:32:32.1618936Z 
2022-11-23T01:32:32.1619074Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1619184Z import torch
2022-11-23T01:32:32.1619294Z import random
2022-11-23T01:32:32.1619462Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1619645Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1619653Z 
2022-11-23T01:32:32.1619776Z aten = torch.ops.aten
2022-11-23T01:32:32.1619977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1620118Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1620126Z 
2022-11-23T01:32:32.1620236Z import triton
2022-11-23T01:32:32.1620431Z import triton.language as tl
2022-11-23T01:32:32.1620609Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1620854Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1620862Z 
2022-11-23T01:32:32.1620869Z 
2022-11-23T01:32:32.1621222Z triton_fused_slice_2_slice_scatter_1_slice_1_slice_3_slice_scatter0 = async_compile.triton('''
2022-11-23T01:32:32.1621335Z import triton
2022-11-23T01:32:32.1621472Z import triton.language as tl
2022-11-23T01:32:32.1621640Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1621791Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1621986Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.1622161Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1622169Z 
2022-11-23T01:32:32.1622764Z @pointwise(size_hints=[4096], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.1622874Z @triton.jit
2022-11-23T01:32:32.1623095Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.1623206Z     xnumel = 3200
2022-11-23T01:32:32.1623353Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1623542Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.1623664Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1623768Z     x0 = xindex % 100
2022-11-23T01:32:32.1623885Z     x1 = (xindex // 100)
2022-11-23T01:32:32.1623990Z     x2 = xindex
2022-11-23T01:32:32.1624160Z     tmp8 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:32.1624265Z     tmp0 = x0
2022-11-23T01:32:32.1624369Z     tmp1 = 10
2022-11-23T01:32:32.1624486Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:32.1624582Z     tmp3 = 90
2022-11-23T01:32:32.1624696Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.1624817Z     tmp5 = tmp2 & tmp4
2022-11-23T01:32:32.1625198Z     tmp6 = tl.load(in_ptr0 + ((-10) + x0 + (80*x1) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp5, other=0).to(tl.float32)
2022-11-23T01:32:32.1625343Z     tmp7 = tl.where(tmp5, tmp6, 0.0)
2022-11-23T01:32:32.1625485Z     tmp9 = tl.where(tmp5, tmp7, tmp8)
2022-11-23T01:32:32.1625595Z     tmp10 = x0 % 2
2022-11-23T01:32:32.1625692Z     tmp11 = 0
2022-11-23T01:32:32.1625814Z     tmp12 = tmp10 == tmp11
2022-11-23T01:32:32.1625933Z     tmp13 = tmp5 & tmp12
2022-11-23T01:32:32.1626321Z     tmp14 = tl.load(in_ptr0 + ((-5) + (80*x1) + (x0 // 2) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp13, other=0).to(tl.float32)
2022-11-23T01:32:32.1626462Z     tmp15 = tl.where(tmp13, tmp14, 0.0)
2022-11-23T01:32:32.1626606Z     tmp16 = tl.where(tmp13, tmp15, tmp8)
2022-11-23T01:32:32.1626802Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp9, xmask)
2022-11-23T01:32:32.1626988Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp16, xmask)
2022-11-23T01:32:32.1627114Z ''')
2022-11-23T01:32:32.1627127Z 
2022-11-23T01:32:32.1627134Z 
2022-11-23T01:32:32.1627274Z async_compile.wait(globals())
2022-11-23T01:32:32.1627389Z del async_compile
2022-11-23T01:32:32.1627397Z 
2022-11-23T01:32:32.1627507Z def call(args):
2022-11-23T01:32:32.1627622Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1627733Z     args.clear()
2022-11-23T01:32:32.1628038Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1628337Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1628469Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1628757Z     triton_fused_slice_2_slice_scatter_1_slice_1_slice_3_slice_scatter0.run(arg1_1, arg0_1, buf0, buf1, 3200, grid=grid(3200), stream=stream0)
2022-11-23T01:32:32.1628864Z     del arg0_1
2022-11-23T01:32:32.1628968Z     del arg1_1
2022-11-23T01:32:32.1629088Z     return (buf0, buf1, )
2022-11-23T01:32:32.1629096Z 
2022-11-23T01:32:32.1629102Z 
2022-11-23T01:32:32.1629264Z if __name__ == "__main__":
2022-11-23T01:32:32.1629464Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1629642Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1629953Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1630362Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1630539Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1630547Z 
2022-11-23T01:32:32.1630654Z ok (0.293s)
2022-11-23T01:32:32.1631105Z   test_softmax_cuda (__main__.CudaTests) ... [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1631568Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1631896Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1632267Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1632677Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1633145Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1633647Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1634119Z [2022-11-23 01:30:18,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1634663Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230> 
2022-11-23T01:32:32.1634814Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1634961Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1635098Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1635235Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1635341Z                8 BINARY_ADD
2022-11-23T01:32:32.1635546Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1635683Z               12 CALL_METHOD              2
2022-11-23T01:32:32.1635828Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1635973Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1636109Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1636244Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1636369Z               22 CALL_METHOD              2
2022-11-23T01:32:32.1636514Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1636661Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1636795Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1636930Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1637065Z               32 CALL_METHOD              2
2022-11-23T01:32:32.1637202Z               34 BUILD_TUPLE              3
2022-11-23T01:32:32.1637311Z               36 RETURN_VALUE
2022-11-23T01:32:32.1637408Z  
2022-11-23T01:32:32.1637415Z 
2022-11-23T01:32:32.1637879Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231
2022-11-23T01:32:32.1638203Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1638779Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1639270Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1639773Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1640326Z [2022-11-23 01:30:18,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1640838Z [2022-11-23 01:30:18,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1641411Z [2022-11-23 01:30:18,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1641782Z [2022-11-23 01:30:18,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.1642348Z [2022-11-23 01:30:18,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1642855Z [2022-11-23 01:30:18,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1643402Z [2022-11-23 01:30:18,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1644016Z [2022-11-23 01:30:18,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1644422Z [2022-11-23 01:30:18,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1645035Z [2022-11-23 01:30:18,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1645580Z [2022-11-23 01:30:18,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1646168Z [2022-11-23 01:30:18,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1646817Z [2022-11-23 01:30:18,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1647254Z [2022-11-23 01:30:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1647613Z [2022-11-23 01:30:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1648154Z [2022-11-23 01:30:18,018] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230>
2022-11-23T01:32:32.1648510Z [2022-11-23 01:30:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1648886Z [2022-11-23 01:30:18,018] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1649288Z [2022-11-23 01:30:18,019] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1649656Z [2022-11-23 01:30:18,028] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1649931Z [2022-11-23 01:30:18,028] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1650137Z  __compiled_fn_725 <eval_with_key>.4470 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1650276Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1650412Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1650679Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.1651014Z call_function, softmax, <built-in method softmax of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:32.1651368Z call_function, softmax_1, <built-in method softmax of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:32.1651713Z call_function, softmax_2, <built-in method softmax of type object at 0x7f209c394c60>, (ex_1_, 1), {}
2022-11-23T01:32:32.1651910Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T01:32:32.1651919Z 
2022-11-23T01:32:32.1652396Z [2022-11-23 01:30:18,028] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1652537Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1652677Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1652814Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1652958Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1653082Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1653218Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1653337Z              12 RETURN_VALUE
2022-11-23T01:32:32.1653345Z 
2022-11-23T01:32:32.1653442Z  
2022-11-23T01:32:32.1653915Z [2022-11-23 01:30:18,028] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1654087Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_725)
2022-11-23T01:32:32.1654225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1654355Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1654475Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1654613Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1654748Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1654870Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1655009Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1655169Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1655317Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1655457Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1655579Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1655735Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1655871Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1655989Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1656142Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1656278Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1656388Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1656523Z              36 BUILD_TUPLE              3
2022-11-23T01:32:32.1656644Z              38 RETURN_VALUE
2022-11-23T01:32:32.1656652Z 
2022-11-23T01:32:32.1656751Z  
2022-11-23T01:32:32.1657025Z [2022-11-23 01:30:18,029] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1657137Z  - 
2022-11-23T01:32:32.1657317Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1657409Z             {
2022-11-23T01:32:32.1657621Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1657936Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1658159Z                 'obj_weakref': None
2022-11-23T01:32:32.1658482Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1658584Z             }
2022-11-23T01:32:32.1658685Z             
2022-11-23T01:32:32.1658789Z  - 
2022-11-23T01:32:32.1659133Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1659237Z             {
2022-11-23T01:32:32.1659454Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1659620Z                 'code': None,
2022-11-23T01:32:32.1659929Z                 'obj_weakref': <weakref at 0x7f1f680ae0c0; to 'Tensor' at 0x7f2151f03e70>
2022-11-23T01:32:32.1660288Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1660380Z             }
2022-11-23T01:32:32.1660480Z             
2022-11-23T01:32:32.1660596Z  - 
2022-11-23T01:32:32.1660784Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1660890Z             {
2022-11-23T01:32:32.1661103Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1661269Z                 'code': None,
2022-11-23T01:32:32.1661563Z                 'obj_weakref': <weakref at 0x7f1f680ad0d0; to 'Tensor' at 0x7f2151f03d80>
2022-11-23T01:32:32.1661927Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1662029Z             }
2022-11-23T01:32:32.1662131Z             
2022-11-23T01:32:32.1662242Z  - 
2022-11-23T01:32:32.1662439Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1662538Z             {
2022-11-23T01:32:32.1662734Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1662992Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1663174Z                 'obj_weakref': None
2022-11-23T01:32:32.1663508Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1663613Z             }
2022-11-23T01:32:32.1663713Z             
2022-11-23T01:32:32.1663822Z  - 
2022-11-23T01:32:32.1664000Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1664099Z             {
2022-11-23T01:32:32.1664301Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1664617Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1664803Z                 'obj_weakref': None
2022-11-23T01:32:32.1665127Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1665228Z             }
2022-11-23T01:32:32.1665318Z             
2022-11-23T01:32:32.1665432Z  - 
2022-11-23T01:32:32.1665634Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1665734Z             {
2022-11-23T01:32:32.1665917Z                 'guard_types': None,
2022-11-23T01:32:32.1666084Z                 'code': None,
2022-11-23T01:32:32.1666268Z                 'obj_weakref': None
2022-11-23T01:32:32.1666441Z                 'guarded_class': None
2022-11-23T01:32:32.1666542Z             }
2022-11-23T01:32:32.1666644Z             
2022-11-23T01:32:32.1667028Z [2022-11-23 01:30:18,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 707
2022-11-23T01:32:32.1667768Z [2022-11-23 01:30:18,084] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:32.1669488Z [2022-11-23 01:30:18,087] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf8')]
2022-11-23T01:32:32.1669835Z [2022-11-23 01:30:18,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:32.1670136Z [2022-11-23 01:30:18,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.1670503Z [2022-11-23 01:30:18,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:32.1670805Z [2022-11-23 01:30:18,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.1671322Z [2022-11-23 01:30:18,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g2/cg2mpb5fw6a3jawa2p5ftwmzp2velkp5af6nuslisjcyrviq7fyj.py
2022-11-23T01:32:32.1671717Z [2022-11-23 01:30:18,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 707
2022-11-23T01:32:32.1672069Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1672529Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1672880Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1673267Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1673674Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1674142Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1674651Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1675124Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1675655Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230> 
2022-11-23T01:32:32.1675805Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1675955Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1676095Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1676233Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1676349Z                8 BINARY_ADD
2022-11-23T01:32:32.1676556Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.1676692Z               12 CALL_METHOD              2
2022-11-23T01:32:32.1676831Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1676978Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1677113Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1677250Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1677385Z               22 CALL_METHOD              2
2022-11-23T01:32:32.1677526Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1677669Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:32.1677795Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:32.1677928Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1678063Z               32 CALL_METHOD              2
2022-11-23T01:32:32.1678199Z               34 BUILD_TUPLE              3
2022-11-23T01:32:32.1678319Z               36 RETURN_VALUE
2022-11-23T01:32:32.1678417Z  
2022-11-23T01:32:32.1678483Z 
2022-11-23T01:32:32.1678955Z [2022-11-23 01:30:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231
2022-11-23T01:32:32.1679309Z [2022-11-23 01:30:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1679838Z [2022-11-23 01:30:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1680310Z [2022-11-23 01:30:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1680812Z [2022-11-23 01:30:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1681373Z [2022-11-23 01:30:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1681883Z [2022-11-23 01:30:18,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1682449Z [2022-11-23 01:30:18,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1682811Z [2022-11-23 01:30:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.1683379Z [2022-11-23 01:30:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1683888Z [2022-11-23 01:30:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1684436Z [2022-11-23 01:30:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1685041Z [2022-11-23 01:30:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1685446Z [2022-11-23 01:30:18,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1686059Z [2022-11-23 01:30:18,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1686601Z [2022-11-23 01:30:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1687191Z [2022-11-23 01:30:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1687834Z [2022-11-23 01:30:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1688269Z [2022-11-23 01:30:18,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1688672Z [2022-11-23 01:30:18,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1689222Z [2022-11-23 01:30:18,232] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230>
2022-11-23T01:32:32.1689610Z [2022-11-23 01:30:18,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1689960Z [2022-11-23 01:30:18,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1690336Z [2022-11-23 01:30:18,234] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1699371Z [2022-11-23 01:30:18,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1699722Z [2022-11-23 01:30:18,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1699923Z  __compiled_fn_726 <eval_with_key>.4476 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1700067Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1700207Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.1700480Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.1700833Z call_function, softmax, <built-in method softmax of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:32.1701185Z call_function, softmax_1, <built-in method softmax of type object at 0x7f209c394c60>, (ex_0_, 0), {}
2022-11-23T01:32:32.1701525Z call_function, softmax_2, <built-in method softmax of type object at 0x7f209c394c60>, (ex_1_, 1), {}
2022-11-23T01:32:32.1701718Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T01:32:32.1701726Z 
2022-11-23T01:32:32.1702206Z [2022-11-23 01:30:18,245] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1702343Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1702486Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1702624Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1702770Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1702901Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1703043Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1703162Z              12 RETURN_VALUE
2022-11-23T01:32:32.1703170Z 
2022-11-23T01:32:32.1703258Z  
2022-11-23T01:32:32.1703732Z [2022-11-23 01:30:18,245] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1703899Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_726)
2022-11-23T01:32:32.1704036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1704175Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1704296Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1704432Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1704570Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1704683Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.1704821Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.1704980Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1705137Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1705275Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1705394Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1705548Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1705675Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1705793Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1705947Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1706085Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1706204Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1706336Z              36 BUILD_TUPLE              3
2022-11-23T01:32:32.1706559Z              38 RETURN_VALUE
2022-11-23T01:32:32.1706600Z 
2022-11-23T01:32:32.1706692Z  
2022-11-23T01:32:32.1706974Z [2022-11-23 01:30:18,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1707087Z  - 
2022-11-23T01:32:32.1707266Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1707369Z             {
2022-11-23T01:32:32.1707581Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1707857Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.1708031Z                 'obj_weakref': None
2022-11-23T01:32:32.1708356Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1708459Z             }
2022-11-23T01:32:32.1708561Z             
2022-11-23T01:32:32.1708674Z  - 
2022-11-23T01:32:32.1708863Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1708962Z             {
2022-11-23T01:32:32.1709171Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1709336Z                 'code': None,
2022-11-23T01:32:32.1709647Z                 'obj_weakref': <weakref at 0x7f1f361053f0; to 'Tensor' at 0x7f1f680ae7f0>
2022-11-23T01:32:32.1710006Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1710108Z             }
2022-11-23T01:32:32.1710209Z             
2022-11-23T01:32:32.1710400Z  - 
2022-11-23T01:32:32.1710583Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.1710686Z             {
2022-11-23T01:32:32.1710900Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1711067Z                 'code': None,
2022-11-23T01:32:32.1711374Z                 'obj_weakref': <weakref at 0x7f1f36105710; to 'Tensor' at 0x7f1f680aeac0>
2022-11-23T01:32:32.1711735Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1711836Z             }
2022-11-23T01:32:32.1711932Z             
2022-11-23T01:32:32.1712048Z  - 
2022-11-23T01:32:32.1712246Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1712348Z             {
2022-11-23T01:32:32.1712551Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1712806Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1712989Z                 'obj_weakref': None
2022-11-23T01:32:32.1713312Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1713414Z             }
2022-11-23T01:32:32.1713515Z             
2022-11-23T01:32:32.1713629Z  - 
2022-11-23T01:32:32.1713819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1713924Z             {
2022-11-23T01:32:32.1714129Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1714436Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1714621Z                 'obj_weakref': None
2022-11-23T01:32:32.1714942Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1715047Z             }
2022-11-23T01:32:32.1715150Z             
2022-11-23T01:32:32.1715260Z  - 
2022-11-23T01:32:32.1715461Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1715552Z             {
2022-11-23T01:32:32.1715736Z                 'guard_types': None,
2022-11-23T01:32:32.1715901Z                 'code': None,
2022-11-23T01:32:32.1716081Z                 'obj_weakref': None
2022-11-23T01:32:32.1716264Z                 'guarded_class': None
2022-11-23T01:32:32.1716364Z             }
2022-11-23T01:32:32.1716463Z             
2022-11-23T01:32:32.1716835Z [2022-11-23 01:30:18,268] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 708
2022-11-23T01:32:32.1717621Z [2022-11-23 01:30:18,306] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3')]
2022-11-23T01:32:32.1719296Z [2022-11-23 01:30:18,309] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf8')]
2022-11-23T01:32:32.1719606Z [2022-11-23 01:30:18,315] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:32.1719906Z [2022-11-23 01:30:18,315] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.1720207Z [2022-11-23 01:30:18,315] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:32.1720506Z [2022-11-23 01:30:18,315] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.1720514Z 
2022-11-23T01:32:32.1720660Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1720773Z import torch
2022-11-23T01:32:32.1720885Z import random
2022-11-23T01:32:32.1721054Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1721237Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1721245Z 
2022-11-23T01:32:32.1721367Z aten = torch.ops.aten
2022-11-23T01:32:32.1721569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1721711Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1721719Z 
2022-11-23T01:32:32.1721830Z import triton
2022-11-23T01:32:32.1721969Z import triton.language as tl
2022-11-23T01:32:32.1722154Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1722356Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1722367Z 
2022-11-23T01:32:32.1722384Z 
2022-11-23T01:32:32.1722648Z triton_fused_sum_2_exp_1_amax_1_sub_10 = async_compile.triton('''
2022-11-23T01:32:32.1722758Z import triton
2022-11-23T01:32:32.1722895Z import triton.language as tl
2022-11-23T01:32:32.1723062Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1723214Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1723407Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.1723592Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1723600Z 
2022-11-23T01:32:32.1723722Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.1723894Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.1724022Z               filename=__file__,
2022-11-23T01:32:32.1724519Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1724630Z @triton.jit
2022-11-23T01:32:32.1724888Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.1724995Z     xnumel = 8
2022-11-23T01:32:32.1725093Z     rnumel = 8
2022-11-23T01:32:32.1725237Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1725435Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.1725559Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1725734Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.1725839Z     x0 = xindex
2022-11-23T01:32:32.1726108Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1726263Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1726386Z         rindex = roffset + rbase
2022-11-23T01:32:32.1726511Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1726619Z         r1 = rindex
2022-11-23T01:32:32.1726976Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1727197Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:32.1727363Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1727508Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:32.1727672Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1727827Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1727958Z         rindex = roffset + rbase
2022-11-23T01:32:32.1728084Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1728190Z         r1 = rindex
2022-11-23T01:32:32.1728508Z         tmp2 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1728677Z         tmp3 = tmp2 - tmp1
2022-11-23T01:32:32.1728791Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:32.1728965Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:32.1729134Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1729280Z     tl.store(out_ptr1 + x0, tmp5, xmask)
2022-11-23T01:32:32.1729408Z ''')
2022-11-23T01:32:32.1729416Z 
2022-11-23T01:32:32.1729423Z 
2022-11-23T01:32:32.1729772Z triton_fused_div_1_amax_1_exp_sum_2_amax_2_sub_1_sum_1_sub_exp_2_sum_31 = async_compile.triton('''
2022-11-23T01:32:32.1729884Z import triton
2022-11-23T01:32:32.1730014Z import triton.language as tl
2022-11-23T01:32:32.1730180Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1730331Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1730526Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.1730711Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1730719Z 
2022-11-23T01:32:32.1730849Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.1731017Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.1731142Z               filename=__file__,
2022-11-23T01:32:32.1731720Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: 'i32', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:32.1731831Z @triton.jit
2022-11-23T01:32:32.1732132Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.1732240Z     xnumel = 8
2022-11-23T01:32:32.1732350Z     rnumel = 8
2022-11-23T01:32:32.1732492Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1732693Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.1732816Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1732984Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.1733088Z     x0 = xindex
2022-11-23T01:32:32.1733361Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1733517Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1733650Z         rindex = roffset + rbase
2022-11-23T01:32:32.1733775Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1733881Z         r1 = rindex
2022-11-23T01:32:32.1734192Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1734510Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1734629Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1734815Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp2), tmp2, _tmp3)
2022-11-23T01:32:32.1734979Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1735150Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1735423Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1735568Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1735734Z         rindex = roffset + rbase
2022-11-23T01:32:32.1735861Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1735992Z         r1 = rindex
2022-11-23T01:32:32.1736307Z         tmp4 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1736622Z         tmp5 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1736743Z         tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.1736903Z         tmp7 = tmp6 - tmp3
2022-11-23T01:32:32.1737025Z         tmp8 = tl.exp(tmp7)
2022-11-23T01:32:32.1737202Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.1737391Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp5), tmp5, _tmp10)
2022-11-23T01:32:32.1737559Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1737727Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1737904Z     _tmp14 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1738062Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1738187Z         rindex = roffset + rbase
2022-11-23T01:32:32.1738311Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1738418Z         r1 = rindex
2022-11-23T01:32:32.1738739Z         tmp11 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1739203Z         tmp15 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1739494Z         tmp20 = tl.load(in_ptr2 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1739784Z         tmp23 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1739951Z         tmp12 = tmp11 - tmp10
2022-11-23T01:32:32.1740074Z         tmp13 = tl.exp(tmp12)
2022-11-23T01:32:32.1740251Z         _tmp14 = tl.where(xmask & rmask, _tmp14 + tmp13, _tmp14)
2022-11-23T01:32:32.1740373Z         tmp16 = tmp15 + tmp11
2022-11-23T01:32:32.1740545Z         tmp17 = tmp16 - tmp3
2022-11-23T01:32:32.1740675Z         tmp18 = tl.exp(tmp17)
2022-11-23T01:32:32.1740797Z         tmp19 = tmp18 / tmp9
2022-11-23T01:32:32.1740965Z         tmp21 = tmp15 - tmp20
2022-11-23T01:32:32.1741088Z         tmp22 = tl.exp(tmp21)
2022-11-23T01:32:32.1741207Z         tmp24 = tmp22 / tmp23
2022-11-23T01:32:32.1741436Z         tl.store(out_ptr4 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp19, xmask & rmask)
2022-11-23T01:32:32.1741658Z         tl.store(out_ptr5 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp24, xmask & rmask)
2022-11-23T01:32:32.1741829Z     tmp14 = tl.reshape(tl.sum(_tmp14, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1741985Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1742114Z         rindex = roffset + rbase
2022-11-23T01:32:32.1742230Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1742335Z         r1 = rindex
2022-11-23T01:32:32.1742654Z         tmp25 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1742830Z         tmp26 = tmp25 - tmp10
2022-11-23T01:32:32.1742953Z         tmp27 = tl.exp(tmp26)
2022-11-23T01:32:32.1743078Z         tmp28 = tmp27 / tmp14
2022-11-23T01:32:32.1743306Z         tl.store(out_ptr6 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp28, xmask & rmask)
2022-11-23T01:32:32.1743424Z ''')
2022-11-23T01:32:32.1743432Z 
2022-11-23T01:32:32.1743439Z 
2022-11-23T01:32:32.1743574Z async_compile.wait(globals())
2022-11-23T01:32:32.1743689Z del async_compile
2022-11-23T01:32:32.1743697Z 
2022-11-23T01:32:32.1743809Z def call(args):
2022-11-23T01:32:32.1743927Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1744039Z     args.clear()
2022-11-23T01:32:32.1744326Z     buf2 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1744605Z     buf3 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1744736Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1745025Z     triton_fused_sum_2_exp_1_amax_1_sub_10.run(arg0_1, buf2, buf3, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1745313Z     buf6 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1745632Z     buf7 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1745914Z     buf8 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1746204Z     triton_fused_div_1_amax_1_exp_sum_2_amax_2_sub_1_sum_1_sub_exp_2_sum_31.run(arg0_1, arg1_1, buf2, buf3, buf6, buf7, buf8, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1746311Z     del arg0_1
2022-11-23T01:32:32.1746409Z     del arg1_1
2022-11-23T01:32:32.1746536Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:32.1746544Z 
2022-11-23T01:32:32.1746552Z 
2022-11-23T01:32:32.1746670Z if __name__ == "__main__":
2022-11-23T01:32:32.1746846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1747034Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1747327Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1747619Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1747795Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1747803Z 
2022-11-23T01:32:32.1748330Z [2022-11-23 01:30:18,435] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6enwjov5hj6l72j342tzddbr3qseqpp5dvblmjc4mpjnxpcfw3.py
2022-11-23T01:32:32.1748711Z [2022-11-23 01:30:18,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 708
2022-11-23T01:32:32.1748729Z 
2022-11-23T01:32:32.1748867Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1748977Z import torch
2022-11-23T01:32:32.1749089Z import random
2022-11-23T01:32:32.1749265Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1749448Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1749456Z 
2022-11-23T01:32:32.1749577Z aten = torch.ops.aten
2022-11-23T01:32:32.1749783Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1749919Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1749927Z 
2022-11-23T01:32:32.1750036Z import triton
2022-11-23T01:32:32.1750175Z import triton.language as tl
2022-11-23T01:32:32.1750442Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1750652Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1750660Z 
2022-11-23T01:32:32.1750667Z 
2022-11-23T01:32:32.1750965Z triton_fused__to_copy_2_exp_1_sub_1_amax_1_sum_20 = async_compile.triton('''
2022-11-23T01:32:32.1751079Z import triton
2022-11-23T01:32:32.1751220Z import triton.language as tl
2022-11-23T01:32:32.1751378Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1751527Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1751722Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.1751910Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1751917Z 
2022-11-23T01:32:32.1752055Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.1752227Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.1752353Z               filename=__file__,
2022-11-23T01:32:32.1752842Z               meta={'signature': {0: '*fp16', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.1752954Z @triton.jit
2022-11-23T01:32:32.1753214Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.1753321Z     xnumel = 8
2022-11-23T01:32:32.1753429Z     rnumel = 8
2022-11-23T01:32:32.1753574Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1753774Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.1753897Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1754102Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.1754208Z     x0 = xindex
2022-11-23T01:32:32.1754505Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1754661Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1754791Z         rindex = roffset + rbase
2022-11-23T01:32:32.1754917Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1755013Z         r1 = rindex
2022-11-23T01:32:32.1755365Z         tmp0 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1755499Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.1755686Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 < tmp1), tmp1, _tmp2)
2022-11-23T01:32:32.1755852Z     tmp2 = tl.reshape(tl.max(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1755995Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:32.1756167Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1756321Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1756445Z         rindex = roffset + rbase
2022-11-23T01:32:32.1756581Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1756687Z         r1 = rindex
2022-11-23T01:32:32.1757034Z         tmp3 = tl.load(in_ptr0 + (x0 + (8*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1757166Z         tmp4 = tmp3.to(tl.float32)
2022-11-23T01:32:32.1757335Z         tmp5 = tmp4 - tmp2
2022-11-23T01:32:32.1757457Z         tmp6 = tl.exp(tmp5)
2022-11-23T01:32:32.1757624Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.1757794Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1757936Z     tl.store(out_ptr1 + x0, tmp7, xmask)
2022-11-23T01:32:32.1758063Z ''')
2022-11-23T01:32:32.1758071Z 
2022-11-23T01:32:32.1758078Z 
2022-11-23T01:32:32.1758439Z triton_fused__to_copy_2_exp_2__to_copy_exp_exp_1_div_2_amax_2_amax_div_1_sub1 = async_compile.triton('''
2022-11-23T01:32:32.1758550Z import triton
2022-11-23T01:32:32.1758693Z import triton.language as tl
2022-11-23T01:32:32.1758863Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1759009Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1759204Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.1759388Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1759396Z 
2022-11-23T01:32:32.1759528Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.1759695Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.1759823Z               filename=__file__,
2022-11-23T01:32:32.1760403Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp32', 3: '*fp32', 4: '*fp16', 5: '*fp16', 6: '*fp16', 7: 'i32', 8: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6), equal_to_1=())]})
2022-11-23T01:32:32.1760512Z @triton.jit
2022-11-23T01:32:32.1760807Z def kernel(in_ptr0, in_ptr1, in_ptr2, in_ptr3, out_ptr4, out_ptr5, out_ptr6, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.1760919Z     xnumel = 8
2022-11-23T01:32:32.1761028Z     rnumel = 8
2022-11-23T01:32:32.1761175Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1761372Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.1761500Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1761679Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.1761776Z     x0 = xindex
2022-11-23T01:32:32.1762047Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1762203Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1762334Z         rindex = roffset + rbase
2022-11-23T01:32:32.1762460Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1762567Z         r1 = rindex
2022-11-23T01:32:32.1762920Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1763293Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1763441Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.1763574Z         tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:32.1763760Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp3), tmp3, _tmp4)
2022-11-23T01:32:32.1763925Z     tmp4 = tl.reshape(tl.max(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1764097Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1764370Z     _tmp13 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1764526Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1764647Z         rindex = roffset + rbase
2022-11-23T01:32:32.1764773Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1764878Z         r1 = rindex
2022-11-23T01:32:32.1765225Z         tmp5 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1765576Z         tmp6 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1765699Z         tmp7 = tmp5 + tmp6
2022-11-23T01:32:32.1765829Z         tmp8 = tmp7.to(tl.float32)
2022-11-23T01:32:32.1765989Z         tmp9 = tmp8 - tmp4
2022-11-23T01:32:32.1766113Z         tmp10 = tl.exp(tmp9)
2022-11-23T01:32:32.1766291Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.1766423Z         tmp12 = tmp6.to(tl.float32)
2022-11-23T01:32:32.1766613Z         _tmp13 = tl.where(xmask & rmask & (_tmp13 < tmp12), tmp12, _tmp13)
2022-11-23T01:32:32.1766782Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1766950Z     tmp13 = tl.reshape(tl.max(_tmp13, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1767113Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1767267Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1767398Z         rindex = roffset + rbase
2022-11-23T01:32:32.1767523Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1767634Z         r1 = rindex
2022-11-23T01:32:32.1767986Z         tmp14 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1768337Z         tmp19 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1768616Z         tmp27 = tl.load(in_ptr2 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1768903Z         tmp30 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1769039Z         tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:32.1769219Z         tmp16 = tmp15 - tmp13
2022-11-23T01:32:32.1769343Z         tmp17 = tl.exp(tmp16)
2022-11-23T01:32:32.1769519Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp17, _tmp18)
2022-11-23T01:32:32.1769642Z         tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.1769775Z         tmp21 = tmp20.to(tl.float32)
2022-11-23T01:32:32.1769939Z         tmp22 = tmp21 - tmp4
2022-11-23T01:32:32.1770067Z         tmp23 = tl.exp(tmp22)
2022-11-23T01:32:32.1770187Z         tmp24 = tmp23 / tmp11
2022-11-23T01:32:32.1770324Z         tmp25 = tmp24.to(tl.float32)
2022-11-23T01:32:32.1770456Z         tmp26 = tmp19.to(tl.float32)
2022-11-23T01:32:32.1770628Z         tmp28 = tmp26 - tmp27
2022-11-23T01:32:32.1770742Z         tmp29 = tl.exp(tmp28)
2022-11-23T01:32:32.1770861Z         tmp31 = tmp29 / tmp30
2022-11-23T01:32:32.1770992Z         tmp32 = tmp31.to(tl.float32)
2022-11-23T01:32:32.1771223Z         tl.store(out_ptr4 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp25, xmask & rmask)
2022-11-23T01:32:32.1771452Z         tl.store(out_ptr5 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp32, xmask & rmask)
2022-11-23T01:32:32.1771620Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1771774Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1771904Z         rindex = roffset + rbase
2022-11-23T01:32:32.1772021Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1772178Z         r1 = rindex
2022-11-23T01:32:32.1772527Z         tmp33 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.1772689Z         tmp34 = tmp33.to(tl.float32)
2022-11-23T01:32:32.1772865Z         tmp35 = tmp34 - tmp13
2022-11-23T01:32:32.1772988Z         tmp36 = tl.exp(tmp35)
2022-11-23T01:32:32.1773108Z         tmp37 = tmp36 / tmp18
2022-11-23T01:32:32.1773231Z         tmp38 = tmp37.to(tl.float32)
2022-11-23T01:32:32.1773459Z         tl.store(out_ptr6 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp38, xmask & rmask)
2022-11-23T01:32:32.1773590Z ''')
2022-11-23T01:32:32.1773599Z 
2022-11-23T01:32:32.1773606Z 
2022-11-23T01:32:32.1773743Z async_compile.wait(globals())
2022-11-23T01:32:32.1773857Z del async_compile
2022-11-23T01:32:32.1773864Z 
2022-11-23T01:32:32.1773976Z def call(args):
2022-11-23T01:32:32.1774092Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.1774202Z     args.clear()
2022-11-23T01:32:32.1774488Z     buf2 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1774781Z     buf3 = empty_strided((1, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1774914Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1775159Z     triton_fused__to_copy_2_exp_1_sub_1_amax_1_sum_20.run(arg0_1, buf2, buf3, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1775444Z     buf6 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1775727Z     buf7 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1776008Z     buf8 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1776317Z     triton_fused__to_copy_2_exp_2__to_copy_exp_exp_1_div_2_amax_2_amax_div_1_sub1.run(arg0_1, arg1_1, buf2, buf3, buf6, buf7, buf8, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.1776417Z     del arg0_1
2022-11-23T01:32:32.1776525Z     del arg1_1
2022-11-23T01:32:32.1776657Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:32.1776666Z 
2022-11-23T01:32:32.1776677Z 
2022-11-23T01:32:32.1776795Z if __name__ == "__main__":
2022-11-23T01:32:32.1776972Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1777160Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1777450Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1777738Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1777902Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.1777911Z 
2022-11-23T01:32:32.1778017Z ok (0.433s)
2022-11-23T01:32:32.1778486Z   test_softmax_one_kernel_cuda (__main__.CudaTests) ... [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1779092Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1779429Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1779812Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1780221Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1780687Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1781191Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1781651Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1782253Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345> 
2022-11-23T01:32:32.1782430Z  2346           0 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1782573Z                2 STORE_FAST               1 (dim)
2022-11-23T01:32:32.1782581Z 
2022-11-23T01:32:32.1782724Z 2347           4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1782865Z                6 LOAD_ATTR                1 (amax)
2022-11-23T01:32:32.1783004Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1783143Z               10 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.1783284Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:32.1783507Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:32.1783651Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.1783793Z               18 STORE_FAST               2 (x_max)
2022-11-23T01:32:32.1783804Z 
2022-11-23T01:32:32.1783944Z 2348          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1784092Z               22 LOAD_METHOD              2 (exp)
2022-11-23T01:32:32.1784233Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:32.1784371Z               26 LOAD_FAST                2 (x_max)
2022-11-23T01:32:32.1784488Z               28 BINARY_MULTIPLY
2022-11-23T01:32:32.1784624Z               30 CALL_METHOD              1
2022-11-23T01:32:32.1784783Z               32 STORE_FAST               3 (unnormalized)
2022-11-23T01:32:32.1784791Z 
2022-11-23T01:32:32.1784947Z 2349          34 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:32.1785089Z               36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1785226Z               38 LOAD_ATTR                3 (sum)
2022-11-23T01:32:32.1785381Z               40 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:32.1785516Z               42 LOAD_FAST                1 (dim)
2022-11-23T01:32:32.1785651Z               44 LOAD_CONST               2 (True)
2022-11-23T01:32:32.1785885Z               46 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:32.1786029Z               48 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.1786157Z               50 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.1786302Z               52 STORE_FAST               4 (result)
2022-11-23T01:32:32.1786310Z 
2022-11-23T01:32:32.1786449Z 2350          54 LOAD_FAST                4 (result)
2022-11-23T01:32:32.1786567Z               56 RETURN_VALUE
2022-11-23T01:32:32.1786656Z  
2022-11-23T01:32:32.1786663Z 
2022-11-23T01:32:32.1787126Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2346
2022-11-23T01:32:32.1787443Z [2022-11-23 01:30:18,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 []
2022-11-23T01:32:32.1787816Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)]
2022-11-23T01:32:32.1788278Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2347
2022-11-23T01:32:32.1788605Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1789136Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1789598Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1790105Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1790778Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1791446Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.1792126Z [2022-11-23 01:30:18,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method amax of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.1792479Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()]
2022-11-23T01:32:32.1792936Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2348
2022-11-23T01:32:32.1793268Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1793798Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1794255Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1794755Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1795319Z [2022-11-23 01:30:18,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1795817Z [2022-11-23 01:30:18,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1796201Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()]
2022-11-23T01:32:32.1796658Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2349
2022-11-23T01:32:32.1796994Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized []
2022-11-23T01:32:32.1797352Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.1797917Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1798446Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1798984Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1799580Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1800250Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.1801000Z [2022-11-23 01:30:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.1801445Z [2022-11-23 01:30:18,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1801808Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()]
2022-11-23T01:32:32.1802319Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2350
2022-11-23T01:32:32.1802643Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result []
2022-11-23T01:32:32.1803005Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1803561Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345>
2022-11-23T01:32:32.1803919Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.1804266Z [2022-11-23 01:30:18,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1804641Z [2022-11-23 01:30:18,447] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1805007Z [2022-11-23 01:30:18,451] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1805293Z [2022-11-23 01:30:18,451] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1805497Z  __compiled_fn_727 <eval_with_key>.4482 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1805635Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1806004Z call_function, amax, <built-in method amax of type object at 0x7f209c394c60>, (ex_0_, 1), {'keepdim': True}
2022-11-23T01:32:32.1806259Z call_function, mul, <built-in function mul>, (ex_0_, amax), {}
2022-11-23T01:32:32.1806585Z call_function, exp, <built-in method exp of type object at 0x7f209c394c60>, (mul,), {}
2022-11-23T01:32:32.1806943Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (exp, 1), {'keepdim': True}
2022-11-23T01:32:32.1807230Z call_function, truediv, <built-in function truediv>, (exp, sum_1), {}
2022-11-23T01:32:32.1807388Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:32.1807396Z 
2022-11-23T01:32:32.1807875Z [2022-11-23 01:30:18,451] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1808018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1808156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1808290Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1808426Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1808563Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1808698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1808816Z              12 RETURN_VALUE
2022-11-23T01:32:32.1808824Z 
2022-11-23T01:32:32.1808921Z  
2022-11-23T01:32:32.1809395Z [2022-11-23 01:30:18,452] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1809567Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_727)
2022-11-23T01:32:32.1809696Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1809834Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1809953Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1810089Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1810226Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.1810344Z              12 RETURN_VALUE
2022-11-23T01:32:32.1810352Z 
2022-11-23T01:32:32.1810481Z  
2022-11-23T01:32:32.1810756Z [2022-11-23 01:30:18,452] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1810886Z  - 
2022-11-23T01:32:32.1811067Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1811172Z             {
2022-11-23T01:32:32.1811386Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1811664Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1811848Z                 'obj_weakref': None
2022-11-23T01:32:32.1812176Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1812270Z             }
2022-11-23T01:32:32.1812370Z             
2022-11-23T01:32:32.1812483Z  - 
2022-11-23T01:32:32.1812671Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1812773Z             {
2022-11-23T01:32:32.1812989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1813145Z                 'code': None,
2022-11-23T01:32:32.1813458Z                 'obj_weakref': <weakref at 0x7f1f29a902c0; to 'Tensor' at 0x7f20682419e0>
2022-11-23T01:32:32.1813824Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1813927Z             }
2022-11-23T01:32:32.1814027Z             
2022-11-23T01:32:32.1814138Z  - 
2022-11-23T01:32:32.1814337Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1814437Z             {
2022-11-23T01:32:32.1814632Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1814883Z                 'code': ['___check_obj_id(model, 139774746354464)'],
2022-11-23T01:32:32.1815067Z                 'obj_weakref': None
2022-11-23T01:32:32.1815399Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1815500Z             }
2022-11-23T01:32:32.1815601Z             
2022-11-23T01:32:32.1815711Z  - 
2022-11-23T01:32:32.1815888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1815990Z             {
2022-11-23T01:32:32.1816203Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1816517Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1816699Z                 'obj_weakref': None
2022-11-23T01:32:32.1817020Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1817124Z             }
2022-11-23T01:32:32.1817216Z             
2022-11-23T01:32:32.1817326Z  - 
2022-11-23T01:32:32.1817528Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1817628Z             {
2022-11-23T01:32:32.1817816Z                 'guard_types': None,
2022-11-23T01:32:32.1817981Z                 'code': None,
2022-11-23T01:32:32.1818157Z                 'obj_weakref': None
2022-11-23T01:32:32.1818347Z                 'guarded_class': None
2022-11-23T01:32:32.1818450Z             }
2022-11-23T01:32:32.1818552Z             
2022-11-23T01:32:32.1819069Z [2022-11-23 01:30:18,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 709
2022-11-23T01:32:32.1820196Z [2022-11-23 01:30:18,625] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf2')]
2022-11-23T01:32:32.1820504Z [2022-11-23 01:30:18,627] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.1820809Z [2022-11-23 01:30:18,627] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.1821345Z [2022-11-23 01:30:18,816] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ci/ccivnotquyaabreo7retymm6ahw6nsrz4imlu5tkwlb2j3wzzlsf.py
2022-11-23T01:32:32.1821799Z [2022-11-23 01:30:18,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 709
2022-11-23T01:32:32.1821839Z 
2022-11-23T01:32:32.1821977Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1822090Z import torch
2022-11-23T01:32:32.1822200Z import random
2022-11-23T01:32:32.1822375Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1822557Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1822565Z 
2022-11-23T01:32:32.1822688Z aten = torch.ops.aten
2022-11-23T01:32:32.1822891Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1823024Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1823031Z 
2022-11-23T01:32:32.1823145Z import triton
2022-11-23T01:32:32.1823285Z import triton.language as tl
2022-11-23T01:32:32.1823470Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1823680Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1823689Z 
2022-11-23T01:32:32.1823699Z 
2022-11-23T01:32:32.1823975Z triton_fused_div_sum_1_exp_mul_amax0 = async_compile.triton('''
2022-11-23T01:32:32.1824090Z import triton
2022-11-23T01:32:32.1824227Z import triton.language as tl
2022-11-23T01:32:32.1824385Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.1824539Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.1824736Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.1824921Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.1824928Z 
2022-11-23T01:32:32.1825063Z @reduction(size_hints=[16, 32],
2022-11-23T01:32:32.1825235Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.1825365Z               filename=__file__,
2022-11-23T01:32:32.1825849Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.1825949Z @triton.jit
2022-11-23T01:32:32.1826199Z def kernel(in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.1826313Z     xnumel = 16
2022-11-23T01:32:32.1826421Z     rnumel = 32
2022-11-23T01:32:32.1826567Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.1826770Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.1826894Z     xmask = xindex < xnumel
2022-11-23T01:32:32.1827062Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.1827169Z     x0 = xindex
2022-11-23T01:32:32.1827440Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.1827594Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1827724Z         rindex = roffset + rbase
2022-11-23T01:32:32.1827850Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1827955Z         r1 = rindex
2022-11-23T01:32:32.1828266Z         tmp0 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1828455Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 < tmp0), tmp0, _tmp1)
2022-11-23T01:32:32.1828624Z     tmp1 = tl.reshape(tl.max(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1828796Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.1828953Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1829084Z         rindex = roffset + rbase
2022-11-23T01:32:32.1829211Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1829308Z         r1 = rindex
2022-11-23T01:32:32.1829632Z         tmp2 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1829755Z         tmp3 = tmp2 * tmp1
2022-11-23T01:32:32.1829876Z         tmp4 = tl.exp(tmp3)
2022-11-23T01:32:32.1830054Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp4, _tmp5)
2022-11-23T01:32:32.1830221Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:32.1830451Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.1830611Z         rindex = roffset + rbase
2022-11-23T01:32:32.1830738Z         rmask = rindex < rnumel
2022-11-23T01:32:32.1830892Z         r1 = rindex
2022-11-23T01:32:32.1831212Z         tmp6 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.1831334Z         tmp7 = tmp6 * tmp1
2022-11-23T01:32:32.1831456Z         tmp8 = tl.exp(tmp7)
2022-11-23T01:32:32.1831574Z         tmp9 = tmp8 / tmp5
2022-11-23T01:32:32.1831797Z         tl.store(out_ptr2 + (r1 + (32*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp9, xmask & rmask)
2022-11-23T01:32:32.1831925Z ''')
2022-11-23T01:32:32.1831933Z 
2022-11-23T01:32:32.1831940Z 
2022-11-23T01:32:32.1832077Z async_compile.wait(globals())
2022-11-23T01:32:32.1832194Z del async_compile
2022-11-23T01:32:32.1832201Z 
2022-11-23T01:32:32.1832311Z def call(args):
2022-11-23T01:32:32.1832432Z     arg0_1, = args
2022-11-23T01:32:32.1832559Z     args.clear()
2022-11-23T01:32:32.1832880Z     buf2 = empty_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1833005Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.1833238Z     triton_fused_div_sum_1_exp_mul_amax0.run(arg0_1, buf2, 16, 32, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.1833343Z     del arg0_1
2022-11-23T01:32:32.1833458Z     return (buf2, )
2022-11-23T01:32:32.1833466Z 
2022-11-23T01:32:32.1833473Z 
2022-11-23T01:32:32.1833590Z if __name__ == "__main__":
2022-11-23T01:32:32.1833765Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1833953Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1834249Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1834404Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1834412Z 
2022-11-23T01:32:32.1834516Z ok (0.380s)
2022-11-23T01:32:32.1834957Z   test_sort_cuda (__main__.CudaTests) ... [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1835426Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1835754Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1836128Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1836536Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1837003Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1837510Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1837991Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1838527Z [2022-11-23 01:30:18,820] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091> 
2022-11-23T01:32:32.1838676Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1838819Z                2 LOAD_METHOD              1 (sort)
2022-11-23T01:32:32.1838960Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1839098Z                6 CALL_METHOD              1
2022-11-23T01:32:32.1839222Z                8 RETURN_VALUE
2022-11-23T01:32:32.1839322Z  
2022-11-23T01:32:32.1839330Z 
2022-11-23T01:32:32.1839788Z [2022-11-23 01:30:18,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092
2022-11-23T01:32:32.1840153Z [2022-11-23 01:30:18,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1840707Z [2022-11-23 01:30:18,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1841172Z [2022-11-23 01:30:18,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1841683Z [2022-11-23 01:30:18,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1842062Z [2022-11-23 01:30:18,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.1842611Z [2022-11-23 01:30:18,822] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091>
2022-11-23T01:32:32.1842990Z [2022-11-23 01:30:18,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.1843343Z [2022-11-23 01:30:18,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1843720Z [2022-11-23 01:30:18,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1844088Z [2022-11-23 01:30:18,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1844362Z [2022-11-23 01:30:18,826] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1844569Z  __compiled_fn_728 <eval_with_key>.4488 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1844709Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1845041Z call_function, sort, <built-in method sort of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.1845324Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:32:32.1845610Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T01:32:32.1845788Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:32.1845796Z 
2022-11-23T01:32:32.1846274Z [2022-11-23 01:30:18,826] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1846419Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1846550Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1846684Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1846828Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1846960Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1847100Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1847219Z              12 RETURN_VALUE
2022-11-23T01:32:32.1847227Z 
2022-11-23T01:32:32.1847324Z  
2022-11-23T01:32:32.1847790Z [2022-11-23 01:30:18,826] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1847950Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_728)
2022-11-23T01:32:32.1848077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1848214Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1848335Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1848470Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1848629Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1848907Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T01:32:32.1849067Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1849206Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1849326Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.1849522Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1849658Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1849805Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.1849943Z              26 BUILD_TUPLE              2
2022-11-23T01:32:32.1850072Z              28 CALL_FUNCTION            1
2022-11-23T01:32:32.1850190Z              30 RETURN_VALUE
2022-11-23T01:32:32.1850198Z 
2022-11-23T01:32:32.1850296Z  
2022-11-23T01:32:32.1850572Z [2022-11-23 01:30:18,827] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1850685Z  - 
2022-11-23T01:32:32.1850870Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1850975Z             {
2022-11-23T01:32:32.1851179Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1851464Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1851648Z                 'obj_weakref': None
2022-11-23T01:32:32.1851974Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1852078Z             }
2022-11-23T01:32:32.1852183Z             
2022-11-23T01:32:32.1852295Z  - 
2022-11-23T01:32:32.1852476Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1852577Z             {
2022-11-23T01:32:32.1852795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1852963Z                 'code': None,
2022-11-23T01:32:32.1853276Z                 'obj_weakref': <weakref at 0x7f201e718bd0; to 'Tensor' at 0x7f1ffad708b0>
2022-11-23T01:32:32.1853636Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1853740Z             }
2022-11-23T01:32:32.1853832Z             
2022-11-23T01:32:32.1853944Z  - 
2022-11-23T01:32:32.1854142Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1854243Z             {
2022-11-23T01:32:32.1854449Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1854708Z                 'code': ['___check_obj_id(model, 139780073966032)'],
2022-11-23T01:32:32.1854890Z                 'obj_weakref': None
2022-11-23T01:32:32.1855221Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1855323Z             }
2022-11-23T01:32:32.1855425Z             
2022-11-23T01:32:32.1855535Z  - 
2022-11-23T01:32:32.1855722Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1855823Z             {
2022-11-23T01:32:32.1856029Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1856338Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1856520Z                 'obj_weakref': None
2022-11-23T01:32:32.1856846Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1856948Z             }
2022-11-23T01:32:32.1857048Z             
2022-11-23T01:32:32.1857159Z  - 
2022-11-23T01:32:32.1857360Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1857456Z             {
2022-11-23T01:32:32.1857645Z                 'guard_types': None,
2022-11-23T01:32:32.1857811Z                 'code': None,
2022-11-23T01:32:32.1857994Z                 'obj_weakref': None
2022-11-23T01:32:32.1858180Z                 'guarded_class': None
2022-11-23T01:32:32.1858280Z             }
2022-11-23T01:32:32.1858371Z             
2022-11-23T01:32:32.1858753Z [2022-11-23 01:30:18,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 710
2022-11-23T01:32:32.1859238Z [2022-11-23 01:30:18,832] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:32:32.1859772Z [2022-11-23 01:30:18,834] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iw/ciwrrng2546krpbpkua5ewbuwew5rcuhvtdyy2g3cslmxvwh6d77.py
2022-11-23T01:32:32.1860164Z [2022-11-23 01:30:18,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 710
2022-11-23T01:32:32.1860592Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1861087Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1861412Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1861788Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1862217Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1862710Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1863217Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1863691Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1864234Z [2022-11-23 01:30:18,837] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091> 
2022-11-23T01:32:32.1864383Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1864528Z                2 LOAD_METHOD              1 (sort)
2022-11-23T01:32:32.1864667Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1864804Z                6 CALL_METHOD              1
2022-11-23T01:32:32.1864922Z                8 RETURN_VALUE
2022-11-23T01:32:32.1865011Z  
2022-11-23T01:32:32.1865019Z 
2022-11-23T01:32:32.1865477Z [2022-11-23 01:30:18,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092
2022-11-23T01:32:32.1865800Z [2022-11-23 01:30:18,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1866327Z [2022-11-23 01:30:18,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1866793Z [2022-11-23 01:30:18,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.1867304Z [2022-11-23 01:30:18,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.1867683Z [2022-11-23 01:30:18,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.1868231Z [2022-11-23 01:30:18,839] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091>
2022-11-23T01:32:32.1868611Z [2022-11-23 01:30:18,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.1868959Z [2022-11-23 01:30:18,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1869326Z [2022-11-23 01:30:18,840] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1869692Z [2022-11-23 01:30:18,842] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1869977Z [2022-11-23 01:30:18,842] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1870181Z  __compiled_fn_729 <eval_with_key>.4494 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1870407Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1870780Z call_function, sort, <built-in method sort of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.1871061Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:32:32.1871373Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T01:32:32.1871538Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:32.1871559Z 
2022-11-23T01:32:32.1872028Z [2022-11-23 01:30:18,843] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1872171Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1872311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1872445Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1872589Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1872722Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1872859Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1872969Z              12 RETURN_VALUE
2022-11-23T01:32:32.1872981Z 
2022-11-23T01:32:32.1873080Z  
2022-11-23T01:32:32.1873553Z [2022-11-23 01:30:18,843] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1873724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_729)
2022-11-23T01:32:32.1873865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1874006Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1874126Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1874261Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1874410Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1874695Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T01:32:32.1874852Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1874990Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.1875114Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.1875267Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1875409Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:32.1875518Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.1875655Z              26 BUILD_TUPLE              2
2022-11-23T01:32:32.1875791Z              28 CALL_FUNCTION            1
2022-11-23T01:32:32.1875909Z              30 RETURN_VALUE
2022-11-23T01:32:32.1875918Z 
2022-11-23T01:32:32.1876016Z  
2022-11-23T01:32:32.1876290Z [2022-11-23 01:30:18,844] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1876402Z  - 
2022-11-23T01:32:32.1876575Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1876678Z             {
2022-11-23T01:32:32.1876894Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1877171Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1877355Z                 'obj_weakref': None
2022-11-23T01:32:32.1877683Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1877789Z             }
2022-11-23T01:32:32.1877880Z             
2022-11-23T01:32:32.1877994Z  - 
2022-11-23T01:32:32.1878184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1878284Z             {
2022-11-23T01:32:32.1878501Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1878667Z                 'code': None,
2022-11-23T01:32:32.1878981Z                 'obj_weakref': <weakref at 0x7f1ffad4ce50; to 'Tensor' at 0x7f1fd8310540>
2022-11-23T01:32:32.1879333Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1879434Z             }
2022-11-23T01:32:32.1879537Z             
2022-11-23T01:32:32.1879647Z  - 
2022-11-23T01:32:32.1879846Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1879947Z             {
2022-11-23T01:32:32.1880151Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1880433Z                 'code': ['___check_obj_id(model, 139780073966032)'],
2022-11-23T01:32:32.1880649Z                 'obj_weakref': None
2022-11-23T01:32:32.1880985Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1881087Z             }
2022-11-23T01:32:32.1881190Z             
2022-11-23T01:32:32.1881301Z  - 
2022-11-23T01:32:32.1881487Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1881579Z             {
2022-11-23T01:32:32.1881785Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1882102Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1882285Z                 'obj_weakref': None
2022-11-23T01:32:32.1882609Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1882709Z             }
2022-11-23T01:32:32.1882809Z             
2022-11-23T01:32:32.1882917Z  - 
2022-11-23T01:32:32.1883117Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1883220Z             {
2022-11-23T01:32:32.1883409Z                 'guard_types': None,
2022-11-23T01:32:32.1883575Z                 'code': None,
2022-11-23T01:32:32.1883755Z                 'obj_weakref': None
2022-11-23T01:32:32.1883940Z                 'guarded_class': None
2022-11-23T01:32:32.1884032Z             }
2022-11-23T01:32:32.1884132Z             
2022-11-23T01:32:32.1884519Z [2022-11-23 01:30:18,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 711
2022-11-23T01:32:32.1884839Z [2022-11-23 01:30:18,848] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:32:32.1885364Z [2022-11-23 01:30:18,851] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ka/ckagyo7ravk7xexgu6w34rry6j6b4aiih3akb2mrqw6t3hr6zuc6.py
2022-11-23T01:32:32.1885758Z [2022-11-23 01:30:18,851] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 711
2022-11-23T01:32:32.1885770Z 
2022-11-23T01:32:32.1885917Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1886025Z import torch
2022-11-23T01:32:32.1886126Z import random
2022-11-23T01:32:32.1886305Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1886485Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1886493Z 
2022-11-23T01:32:32.1886615Z aten = torch.ops.aten
2022-11-23T01:32:32.1886819Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1886963Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1886971Z 
2022-11-23T01:32:32.1887080Z import triton
2022-11-23T01:32:32.1887207Z import triton.language as tl
2022-11-23T01:32:32.1887387Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1887595Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1887604Z 
2022-11-23T01:32:32.1887611Z 
2022-11-23T01:32:32.1887750Z async_compile.wait(globals())
2022-11-23T01:32:32.1887865Z del async_compile
2022-11-23T01:32:32.1887877Z 
2022-11-23T01:32:32.1887988Z def call(args):
2022-11-23T01:32:32.1888095Z     arg0_1, = args
2022-11-23T01:32:32.1888206Z     args.clear()
2022-11-23T01:32:32.1888322Z     buf0 = aten.sort(arg0_1)
2022-11-23T01:32:32.1888429Z     del arg0_1
2022-11-23T01:32:32.1888537Z     buf1 = buf0[0]
2022-11-23T01:32:32.1888700Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:32.1888808Z     buf2 = buf0[1]
2022-11-23T01:32:32.1888966Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:32.1889073Z     del buf0
2022-11-23T01:32:32.1889184Z     return (buf1, buf2, )
2022-11-23T01:32:32.1889192Z 
2022-11-23T01:32:32.1889208Z 
2022-11-23T01:32:32.1889316Z if __name__ == "__main__":
2022-11-23T01:32:32.1889485Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1889673Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1890033Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.1890227Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1890235Z 
2022-11-23T01:32:32.1890242Z 
2022-11-23T01:32:32.1890385Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.1890494Z import torch
2022-11-23T01:32:32.1890595Z import random
2022-11-23T01:32:32.1890771Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.1890953Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.1890961Z 
2022-11-23T01:32:32.1891082Z aten = torch.ops.aten
2022-11-23T01:32:32.1891283Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.1891425Z async_compile = AsyncCompile()
2022-11-23T01:32:32.1891434Z 
2022-11-23T01:32:32.1891543Z import triton
2022-11-23T01:32:32.1891683Z import triton.language as tl
2022-11-23T01:32:32.1891859Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.1892068Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.1892078Z 
2022-11-23T01:32:32.1892086Z 
2022-11-23T01:32:32.1892223Z async_compile.wait(globals())
2022-11-23T01:32:32.1892338Z del async_compile
2022-11-23T01:32:32.1892345Z 
2022-11-23T01:32:32.1892456Z def call(args):
2022-11-23T01:32:32.1892568Z     arg0_1, = args
2022-11-23T01:32:32.1892679Z     args.clear()
2022-11-23T01:32:32.1892795Z     buf0 = aten.sort(arg0_1)
2022-11-23T01:32:32.1892906Z     del arg0_1
2022-11-23T01:32:32.1893012Z     buf1 = buf0[0]
2022-11-23T01:32:32.1893174Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:32.1893282Z     buf2 = buf0[1]
2022-11-23T01:32:32.1893441Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:32.1893545Z     del buf0
2022-11-23T01:32:32.1893656Z     return (buf1, buf2, )
2022-11-23T01:32:32.1893664Z 
2022-11-23T01:32:32.1893679Z 
2022-11-23T01:32:32.1893789Z if __name__ == "__main__":
2022-11-23T01:32:32.1893963Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.1894150Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.1894472Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.1894637Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.1894645Z 
2022-11-23T01:32:32.1894750Z ok (0.035s)
2022-11-23T01:32:32.1895193Z   test_split_cuda (__main__.CudaTests) ... [2022-11-23 01:30:18,854] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1895659Z [2022-11-23 01:30:18,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1895974Z [2022-11-23 01:30:18,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1896351Z [2022-11-23 01:30:18,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1896764Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1897236Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1897739Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1898214Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1898759Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:32.1899047Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1899253Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.1899417Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1899557Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1899772Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.1899908Z               10 CALL_METHOD              3
2022-11-23T01:32:32.1900046Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:32.1900054Z 
2022-11-23T01:32:32.1900191Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1900326Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:32.1900447Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.1900571Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1900711Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:32.1900831Z               24 BINARY_SUBSCR
2022-11-23T01:32:32.1900972Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1901111Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:32.1901232Z               30 BINARY_SUBSCR
2022-11-23T01:32:32.1901370Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1901494Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1901615Z               36 BINARY_SUBSCR
2022-11-23T01:32:32.1901753Z               38 BUILD_TUPLE              4
2022-11-23T01:32:32.1901871Z               40 RETURN_VALUE
2022-11-23T01:32:32.1901969Z  
2022-11-23T01:32:32.1901976Z 
2022-11-23T01:32:32.1902439Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:32.1902766Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1903300Z [2022-11-23 01:30:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1903714Z [2022-11-23 01:30:18,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.1904174Z [2022-11-23 01:30:18,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.1904684Z [2022-11-23 01:30:18,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1905251Z [2022-11-23 01:30:18,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1905603Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:32.1906062Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:32.1906372Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:32.1906728Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:32.1907147Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1907494Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:32.1907889Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1908337Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1908771Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1909233Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1909729Z [2022-11-23 01:30:18,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1910160Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1910720Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1911254Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1911730Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1912098Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1912648Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:32.1913011Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1913348Z [2022-11-23 01:30:18,860] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1913720Z [2022-11-23 01:30:18,861] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1914093Z [2022-11-23 01:30:18,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1914377Z [2022-11-23 01:30:18,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1914586Z  __compiled_fn_730 <eval_with_key>.4500 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1914727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1915021Z call_function, split, <function split at 0x7f2073b11000>, (ex_0_, 3, -1), {}
2022-11-23T01:32:32.1915302Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.1915577Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.1915854Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.1916136Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.1916342Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.1916351Z 
2022-11-23T01:32:32.1916833Z [2022-11-23 01:30:18,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1916982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1917124Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1917259Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1917393Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1917533Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1917670Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1917788Z              12 RETURN_VALUE
2022-11-23T01:32:32.1917796Z 
2022-11-23T01:32:32.1917892Z  
2022-11-23T01:32:32.1918363Z [2022-11-23 01:30:18,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1918533Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_730)
2022-11-23T01:32:32.1918672Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1918840Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1919000Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1919135Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1919294Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1919449Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1919587Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1919707Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1919854Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1919993Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1920113Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1920266Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1920403Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1920525Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1920686Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1920818Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.1920937Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1921073Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.1921190Z              38 RETURN_VALUE
2022-11-23T01:32:32.1921198Z 
2022-11-23T01:32:32.1921294Z  
2022-11-23T01:32:32.1921570Z [2022-11-23 01:30:18,866] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1921681Z  - 
2022-11-23T01:32:32.1921855Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1921957Z             {
2022-11-23T01:32:32.1922194Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1922496Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1922680Z                 'obj_weakref': None
2022-11-23T01:32:32.1923008Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1923110Z             }
2022-11-23T01:32:32.1923206Z             
2022-11-23T01:32:32.1923327Z  - 
2022-11-23T01:32:32.1923516Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1923616Z             {
2022-11-23T01:32:32.1923830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1923998Z                 'code': None,
2022-11-23T01:32:32.1924312Z                 'obj_weakref': <weakref at 0x7f1ffadb0c70; to 'Tensor' at 0x7f1ffad4b0b0>
2022-11-23T01:32:32.1924676Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1924769Z             }
2022-11-23T01:32:32.1924869Z             
2022-11-23T01:32:32.1924980Z  - 
2022-11-23T01:32:32.1925179Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1925282Z             {
2022-11-23T01:32:32.1925486Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1925731Z                 'code': ['___check_obj_id(model, 139780073966032)'],
2022-11-23T01:32:32.1925915Z                 'obj_weakref': None
2022-11-23T01:32:32.1926252Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1926353Z             }
2022-11-23T01:32:32.1926454Z             
2022-11-23T01:32:32.1926567Z  - 
2022-11-23T01:32:32.1926753Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1926845Z             {
2022-11-23T01:32:32.1927049Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1927367Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1927550Z                 'obj_weakref': None
2022-11-23T01:32:32.1927870Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1927972Z             }
2022-11-23T01:32:32.1928074Z             
2022-11-23T01:32:32.1928174Z  - 
2022-11-23T01:32:32.1928381Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1928483Z             {
2022-11-23T01:32:32.1928700Z                 'guard_types': None,
2022-11-23T01:32:32.1928895Z                 'code': None,
2022-11-23T01:32:32.1929075Z                 'obj_weakref': None
2022-11-23T01:32:32.1929260Z                 'guarded_class': None
2022-11-23T01:32:32.1929352Z             }
2022-11-23T01:32:32.1929451Z             
2022-11-23T01:32:32.1929830Z [2022-11-23 01:30:18,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 712
2022-11-23T01:32:32.1930368Z [2022-11-23 01:30:18,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4tkywqrwegl2kmtafbz6fbfopsamf5x2kmmudzflgmxbhdfewe.py
2022-11-23T01:32:32.1930759Z [2022-11-23 01:30:18,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 712
2022-11-23T01:32:32.1931108Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1931573Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1931900Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1932273Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1932672Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1933143Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1933644Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1934120Z [2022-11-23 01:30:18,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1934667Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:32.1934816Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1934965Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.1935106Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1935246Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1935445Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.1935584Z               10 CALL_METHOD              3
2022-11-23T01:32:32.1935722Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:32.1935730Z 
2022-11-23T01:32:32.1935868Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1936003Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:32.1936126Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.1936266Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1936392Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:32.1936513Z               24 BINARY_SUBSCR
2022-11-23T01:32:32.1936649Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1936785Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:32.1936906Z               30 BINARY_SUBSCR
2022-11-23T01:32:32.1937039Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1937175Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1937294Z               36 BINARY_SUBSCR
2022-11-23T01:32:32.1937421Z               38 BUILD_TUPLE              4
2022-11-23T01:32:32.1937540Z               40 RETURN_VALUE
2022-11-23T01:32:32.1937639Z  
2022-11-23T01:32:32.1937646Z 
2022-11-23T01:32:32.1938152Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:32.1938482Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1939192Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1939628Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.1940085Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.1940592Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1941153Z [2022-11-23 01:30:18,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1941508Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:32.1941967Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:32.1942281Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:32.1942637Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:32.1943101Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1943449Z [2022-11-23 01:30:18,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:32.1943846Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1944305Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1944694Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1945113Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1945610Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1946029Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1946500Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1947037Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1947510Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1947870Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1948417Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:32.1948830Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1949190Z [2022-11-23 01:30:18,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1949603Z [2022-11-23 01:30:18,885] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1949964Z [2022-11-23 01:30:18,889] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1950317Z [2022-11-23 01:30:18,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1950525Z  __compiled_fn_731 <eval_with_key>.4506 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1950665Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1950962Z call_function, split, <function split at 0x7f2073b11000>, (ex_0_, 3, -1), {}
2022-11-23T01:32:32.1951251Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.1951537Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.1951821Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.1952091Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.1952299Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.1952308Z 
2022-11-23T01:32:32.1952787Z [2022-11-23 01:30:18,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1952933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1953072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1953206Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1953348Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1953485Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1953614Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1953733Z              12 RETURN_VALUE
2022-11-23T01:32:32.1953744Z 
2022-11-23T01:32:32.1953842Z  
2022-11-23T01:32:32.1954323Z [2022-11-23 01:30:18,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1954490Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_731)
2022-11-23T01:32:32.1954627Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1954764Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1954875Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1955012Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1955174Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1955329Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1955466Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1955586Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.1955742Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1955885Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1955999Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.1956156Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1956293Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1956416Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.1956572Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1956708Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.1956830Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.1956955Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.1957071Z              38 RETURN_VALUE
2022-11-23T01:32:32.1957079Z 
2022-11-23T01:32:32.1957178Z  
2022-11-23T01:32:32.1957452Z [2022-11-23 01:30:18,890] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.1957562Z  - 
2022-11-23T01:32:32.1957748Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.1957853Z             {
2022-11-23T01:32:32.1958099Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.1958404Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.1958587Z                 'obj_weakref': None
2022-11-23T01:32:32.1958917Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.1959021Z             }
2022-11-23T01:32:32.1959123Z             
2022-11-23T01:32:32.1959234Z  - 
2022-11-23T01:32:32.1959414Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.1959516Z             {
2022-11-23T01:32:32.1959730Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.1959896Z                 'code': None,
2022-11-23T01:32:32.1960208Z                 'obj_weakref': <weakref at 0x7f1fead34fe0; to 'Tensor' at 0x7f1ffadb18a0>
2022-11-23T01:32:32.1960572Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.1960675Z             }
2022-11-23T01:32:32.1960770Z             
2022-11-23T01:32:32.1960883Z  - 
2022-11-23T01:32:32.1961080Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.1961182Z             {
2022-11-23T01:32:32.1961388Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.1961642Z                 'code': ['___check_obj_id(model, 139780073966032)'],
2022-11-23T01:32:32.1961824Z                 'obj_weakref': None
2022-11-23T01:32:32.1962145Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.1962246Z             }
2022-11-23T01:32:32.1962365Z             
2022-11-23T01:32:32.1962492Z  - 
2022-11-23T01:32:32.1962695Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.1962797Z             {
2022-11-23T01:32:32.1963006Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.1963312Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.1963498Z                 'obj_weakref': None
2022-11-23T01:32:32.1963820Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.1963922Z             }
2022-11-23T01:32:32.1964023Z             
2022-11-23T01:32:32.1964132Z  - 
2022-11-23T01:32:32.1964335Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.1964427Z             {
2022-11-23T01:32:32.1964611Z                 'guard_types': None,
2022-11-23T01:32:32.1964777Z                 'code': None,
2022-11-23T01:32:32.1964957Z                 'obj_weakref': None
2022-11-23T01:32:32.1965141Z                 'guarded_class': None
2022-11-23T01:32:32.1965243Z             }
2022-11-23T01:32:32.1965345Z             
2022-11-23T01:32:32.1965715Z [2022-11-23 01:30:18,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 713
2022-11-23T01:32:32.1966245Z [2022-11-23 01:30:18,898] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gi/cgimkq2ekl7ph5njdawsl3br66okv767jzecqbbvg6etev37tpwr.py
2022-11-23T01:32:32.1966635Z [2022-11-23 01:30:18,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 713
2022-11-23T01:32:32.1966989Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.1967452Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.1967776Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.1968151Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.1968563Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.1969068Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1969589Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1970061Z [2022-11-23 01:30:18,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.1970603Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709> 
2022-11-23T01:32:32.1970750Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:32.1970893Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1971035Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:32.1971150Z                6 BINARY_ADD
2022-11-23T01:32:32.1971288Z                8 CALL_FUNCTION            1
2022-11-23T01:32:32.1971411Z               10 RETURN_VALUE
2022-11-23T01:32:32.1971503Z  
2022-11-23T01:32:32.1971511Z 
2022-11-23T01:32:32.1971970Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710
2022-11-23T01:32:32.1972287Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:32.1972660Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T01:32:32.1973071Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:32.1973544Z [2022-11-23 01:30:18,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1973966Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:32.1974512Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:32.1974664Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.1974799Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.1974939Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.1975079Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1975287Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.1975425Z               10 CALL_METHOD              3
2022-11-23T01:32:32.1975564Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:32.1975572Z 
2022-11-23T01:32:32.1975708Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1975844Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:32.1975960Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.1976097Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1976235Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:32.1976355Z               24 BINARY_SUBSCR
2022-11-23T01:32:32.1976489Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1976621Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:32.1976740Z               30 BINARY_SUBSCR
2022-11-23T01:32:32.1976865Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:32.1976997Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:32.1977118Z               36 BINARY_SUBSCR
2022-11-23T01:32:32.1977255Z               38 BUILD_TUPLE              4
2022-11-23T01:32:32.1977374Z               40 RETURN_VALUE
2022-11-23T01:32:32.1977472Z  
2022-11-23T01:32:32.1977480Z 
2022-11-23T01:32:32.1977990Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:32.1978307Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.1978985Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.1979420Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.1979880Z [2022-11-23 01:30:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.1980391Z [2022-11-23 01:30:18,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1980961Z [2022-11-23 01:30:18,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.1981319Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:32.1981778Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:32.1982093Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:32.1982493Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:32.1982916Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1983255Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:32.1983650Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1984117Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1984507Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1984935Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1985432Z [2022-11-23 01:30:18,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1985861Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1986332Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.1986872Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.1987345Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.1987707Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1988246Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:32.1988612Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1989237Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709>
2022-11-23T01:32:32.1989632Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.1989982Z [2022-11-23 01:30:18,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.1990431Z [2022-11-23 01:30:18,910] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.1990803Z [2022-11-23 01:30:18,915] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.1991087Z [2022-11-23 01:30:18,915] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.1991292Z  __compiled_fn_732 <eval_with_key>.4512 opcode, name, target, args, kwargs
2022-11-23T01:32:32.1991425Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.1991685Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.1991983Z call_function, split, <function split at 0x7f2073b11000>, (add, 3, -1), {}
2022-11-23T01:32:32.1992265Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.1992548Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.1992858Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.1993155Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.1993365Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.1993373Z 
2022-11-23T01:32:32.1993838Z [2022-11-23 01:30:18,915] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1993982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1994129Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1994269Z               4 BUILD_MAP                0
2022-11-23T01:32:32.1994413Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.1994544Z               8 DICT_MERGE               1
2022-11-23T01:32:32.1994684Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.1994802Z              12 RETURN_VALUE
2022-11-23T01:32:32.1994809Z 
2022-11-23T01:32:32.1994897Z  
2022-11-23T01:32:32.1995365Z [2022-11-23 01:30:18,916] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.1995532Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_732)
2022-11-23T01:32:32.1995669Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.1995806Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1995928Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.1996065Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.1996215Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.1996416Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.1996563Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.1996701Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.1996846Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.1997000Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1997140Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1997262Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.1997410Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1997546Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:32.1997667Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.1997822Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1997998Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:32.1998146Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.1998299Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.1998426Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:32.1998546Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.1998680Z              44 BUILD_TUPLE              4
2022-11-23T01:32:32.1998822Z              46 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1998974Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.1999109Z              50 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1999227Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.1999374Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.1999514Z              56 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.1999666Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.1999805Z              60 LOAD_CONST               1 (0)
2022-11-23T01:32:32.1999927Z              62 BINARY_SUBSCR
2022-11-23T01:32:32.2000085Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.2000203Z              66 RETURN_VALUE
2022-11-23T01:32:32.2000211Z 
2022-11-23T01:32:32.2000308Z  
2022-11-23T01:32:32.2000575Z [2022-11-23 01:30:18,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2000685Z  - 
2022-11-23T01:32:32.2000867Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2000969Z             {
2022-11-23T01:32:32.2001180Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2001460Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2001645Z                 'obj_weakref': None
2022-11-23T01:32:32.2001961Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2002066Z             }
2022-11-23T01:32:32.2002168Z             
2022-11-23T01:32:32.2002276Z  - 
2022-11-23T01:32:32.2002496Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2002607Z             {
2022-11-23T01:32:32.2002828Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2002993Z                 'code': None,
2022-11-23T01:32:32.2003303Z                 'obj_weakref': <weakref at 0x7f2068206340; to 'Tensor' at 0x7f1ffad4f790>
2022-11-23T01:32:32.2003665Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2003769Z             }
2022-11-23T01:32:32.2003870Z             
2022-11-23T01:32:32.2003981Z  - 
2022-11-23T01:32:32.2004169Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2004271Z             {
2022-11-23T01:32:32.2004476Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2004730Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2004913Z                 'obj_weakref': None
2022-11-23T01:32:32.2005249Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2005353Z             }
2022-11-23T01:32:32.2005453Z             
2022-11-23T01:32:32.2005555Z  - 
2022-11-23T01:32:32.2005742Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2005845Z             {
2022-11-23T01:32:32.2006054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2006373Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2006555Z                 'obj_weakref': None
2022-11-23T01:32:32.2006880Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2006971Z             }
2022-11-23T01:32:32.2007072Z             
2022-11-23T01:32:32.2007182Z  - 
2022-11-23T01:32:32.2007452Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:32.2007554Z             {
2022-11-23T01:32:32.2007759Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2008108Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139780073966032)'],
2022-11-23T01:32:32.2008309Z                 'obj_weakref': None
2022-11-23T01:32:32.2008648Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2008755Z             }
2022-11-23T01:32:32.2008860Z             
2022-11-23T01:32:32.2008970Z  - 
2022-11-23T01:32:32.2009172Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2009265Z             {
2022-11-23T01:32:32.2009454Z                 'guard_types': None,
2022-11-23T01:32:32.2009625Z                 'code': None,
2022-11-23T01:32:32.2009809Z                 'obj_weakref': None
2022-11-23T01:32:32.2009995Z                 'guarded_class': None
2022-11-23T01:32:32.2010096Z             }
2022-11-23T01:32:32.2010197Z             
2022-11-23T01:32:32.2010577Z [2022-11-23 01:30:18,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 714
2022-11-23T01:32:32.2010943Z [2022-11-23 01:30:18,933] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2011479Z [2022-11-23 01:30:18,995] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lt/cltcaeurz6yasjeux3rro7qoyjcqvkr33tfco7fm7ee5yyks76hp.py
2022-11-23T01:32:32.2011867Z [2022-11-23 01:30:18,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 714
2022-11-23T01:32:32.2012217Z [2022-11-23 01:30:18,998] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2012678Z [2022-11-23 01:30:18,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2012998Z [2022-11-23 01:30:18,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2013374Z [2022-11-23 01:30:18,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2013780Z [2022-11-23 01:30:18,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2014249Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2014748Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2015215Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2015754Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709> 
2022-11-23T01:32:32.2015901Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:32.2016043Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2016186Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2016301Z                6 BINARY_ADD
2022-11-23T01:32:32.2016441Z                8 CALL_FUNCTION            1
2022-11-23T01:32:32.2016551Z               10 RETURN_VALUE
2022-11-23T01:32:32.2016650Z  
2022-11-23T01:32:32.2016658Z 
2022-11-23T01:32:32.2017114Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710
2022-11-23T01:32:32.2017432Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:32.2017805Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T01:32:32.2018215Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:32.2018719Z [2022-11-23 01:30:18,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2019296Z [2022-11-23 01:30:19,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:32.2019839Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:32.2019987Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2020124Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2020262Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2020399Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.2020609Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.2020749Z               10 CALL_METHOD              3
2022-11-23T01:32:32.2020894Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:32.2020905Z 
2022-11-23T01:32:32.2021041Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2021167Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:32.2021289Z               18 BINARY_SUBSCR
2022-11-23T01:32:32.2021423Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2021557Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:32.2021677Z               24 BINARY_SUBSCR
2022-11-23T01:32:32.2021813Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2021945Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:32.2022064Z               30 BINARY_SUBSCR
2022-11-23T01:32:32.2022188Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2022321Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:32.2022462Z               36 BINARY_SUBSCR
2022-11-23T01:32:32.2022622Z               38 BUILD_TUPLE              4
2022-11-23T01:32:32.2022754Z               40 RETURN_VALUE
2022-11-23T01:32:32.2022853Z  
2022-11-23T01:32:32.2022861Z 
2022-11-23T01:32:32.2023323Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:32:32.2023639Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2024169Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2024590Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2025045Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2025559Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2026131Z [2022-11-23 01:30:19,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2026482Z [2022-11-23 01:30:19,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:32.2026941Z [2022-11-23 01:30:19,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:32:32.2027254Z [2022-11-23 01:30:19,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:32.2027604Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:32.2028083Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2028453Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:32.2028847Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.2029304Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2029694Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2030124Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.2030712Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2031145Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2031612Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.2032142Z [2022-11-23 01:30:19,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2032617Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2032979Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2033522Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:32.2033886Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2034433Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157ec8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709>
2022-11-23T01:32:32.2034792Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2035140Z [2022-11-23 01:30:19,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2035513Z [2022-11-23 01:30:19,007] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2035884Z [2022-11-23 01:30:19,012] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2036169Z [2022-11-23 01:30:19,012] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2036377Z  __compiled_fn_733 <eval_with_key>.4518 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2036507Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2036764Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2037058Z call_function, split, <function split at 0x7f2073b11000>, (add, 3, -1), {}
2022-11-23T01:32:32.2037340Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2037623Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2037902Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2038180Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.2038387Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.2038433Z 
2022-11-23T01:32:32.2038903Z [2022-11-23 01:30:19,012] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2039083Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2039223Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2039358Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2039501Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2039633Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2039770Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2039889Z              12 RETURN_VALUE
2022-11-23T01:32:32.2039897Z 
2022-11-23T01:32:32.2039984Z  
2022-11-23T01:32:32.2040458Z [2022-11-23 01:30:19,013] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2040630Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_733)
2022-11-23T01:32:32.2040775Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2040914Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2041033Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2041168Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2041317Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2041513Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.2041664Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.2041799Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.2041943Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.2042097Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2042234Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2042358Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.2042534Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2042703Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2042822Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.2042978Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2043115Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2043235Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.2043392Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2043519Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2043636Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.2043770Z              44 BUILD_TUPLE              4
2022-11-23T01:32:32.2043910Z              46 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2044062Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.2044198Z              50 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2044316Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.2044467Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.2044610Z              56 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2044757Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.2044893Z              60 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2045011Z              62 BINARY_SUBSCR
2022-11-23T01:32:32.2045167Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.2045289Z              66 RETURN_VALUE
2022-11-23T01:32:32.2045296Z 
2022-11-23T01:32:32.2045384Z  
2022-11-23T01:32:32.2045661Z [2022-11-23 01:30:19,013] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2045772Z  - 
2022-11-23T01:32:32.2045954Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2046058Z             {
2022-11-23T01:32:32.2046269Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2046543Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2046767Z                 'obj_weakref': None
2022-11-23T01:32:32.2047136Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2047238Z             }
2022-11-23T01:32:32.2047339Z             
2022-11-23T01:32:32.2047451Z  - 
2022-11-23T01:32:32.2047641Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2047741Z             {
2022-11-23T01:32:32.2047949Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2048113Z                 'code': None,
2022-11-23T01:32:32.2048422Z                 'obj_weakref': <weakref at 0x7f1ff8153650; to 'Tensor' at 0x7f20607883b0>
2022-11-23T01:32:32.2048786Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2048889Z             }
2022-11-23T01:32:32.2048990Z             
2022-11-23T01:32:32.2049102Z  - 
2022-11-23T01:32:32.2049291Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2049397Z             {
2022-11-23T01:32:32.2049602Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2049861Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2050042Z                 'obj_weakref': None
2022-11-23T01:32:32.2050377Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2050485Z             }
2022-11-23T01:32:32.2050586Z             
2022-11-23T01:32:32.2050689Z  - 
2022-11-23T01:32:32.2050875Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2050977Z             {
2022-11-23T01:32:32.2051183Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2051505Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2051688Z                 'obj_weakref': None
2022-11-23T01:32:32.2052013Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2052109Z             }
2022-11-23T01:32:32.2052211Z             
2022-11-23T01:32:32.2052330Z  - 
2022-11-23T01:32:32.2052602Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:32.2052702Z             {
2022-11-23T01:32:32.2052904Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2053219Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139780073966032)'],
2022-11-23T01:32:32.2053392Z                 'obj_weakref': None
2022-11-23T01:32:32.2053721Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2053823Z             }
2022-11-23T01:32:32.2053924Z             
2022-11-23T01:32:32.2054034Z  - 
2022-11-23T01:32:32.2054236Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2054336Z             {
2022-11-23T01:32:32.2054511Z                 'guard_types': None,
2022-11-23T01:32:32.2054678Z                 'code': None,
2022-11-23T01:32:32.2054863Z                 'obj_weakref': None
2022-11-23T01:32:32.2055052Z                 'guarded_class': None
2022-11-23T01:32:32.2055154Z             }
2022-11-23T01:32:32.2055254Z             
2022-11-23T01:32:32.2055627Z [2022-11-23 01:30:19,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 715
2022-11-23T01:32:32.2055990Z [2022-11-23 01:30:19,026] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2056517Z [2022-11-23 01:30:19,088] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccn3ileed3jj42dwspstrowb3jmj35wpy2yldwccp2c7w7o6zui3.py
2022-11-23T01:32:32.2056906Z [2022-11-23 01:30:19,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 715
2022-11-23T01:32:32.2056915Z 
2022-11-23T01:32:32.2057060Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2057172Z import torch
2022-11-23T01:32:32.2057283Z import random
2022-11-23T01:32:32.2057498Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2057683Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2057716Z 
2022-11-23T01:32:32.2057830Z aten = torch.ops.aten
2022-11-23T01:32:32.2058037Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2058179Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2058187Z 
2022-11-23T01:32:32.2058288Z import triton
2022-11-23T01:32:32.2058415Z import triton.language as tl
2022-11-23T01:32:32.2058548Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2058691Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2058697Z 
2022-11-23T01:32:32.2058701Z 
2022-11-23T01:32:32.2058795Z async_compile.wait(globals())
2022-11-23T01:32:32.2059020Z del async_compile
2022-11-23T01:32:32.2059026Z 
2022-11-23T01:32:32.2059104Z def call(args):
2022-11-23T01:32:32.2059180Z     arg0_1, = args
2022-11-23T01:32:32.2059257Z     args.clear()
2022-11-23T01:32:32.2059462Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T01:32:32.2059471Z 
2022-11-23T01:32:32.2059476Z 
2022-11-23T01:32:32.2059557Z if __name__ == "__main__":
2022-11-23T01:32:32.2059680Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2059810Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2060026Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2060140Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2060145Z 
2022-11-23T01:32:32.2060150Z 
2022-11-23T01:32:32.2060248Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2060324Z import torch
2022-11-23T01:32:32.2060401Z import random
2022-11-23T01:32:32.2060520Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2060644Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2060652Z 
2022-11-23T01:32:32.2060739Z aten = torch.ops.aten
2022-11-23T01:32:32.2060870Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2060968Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2060973Z 
2022-11-23T01:32:32.2061048Z import triton
2022-11-23T01:32:32.2061142Z import triton.language as tl
2022-11-23T01:32:32.2061270Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2061411Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2061417Z 
2022-11-23T01:32:32.2061421Z 
2022-11-23T01:32:32.2061514Z async_compile.wait(globals())
2022-11-23T01:32:32.2061591Z del async_compile
2022-11-23T01:32:32.2061596Z 
2022-11-23T01:32:32.2061665Z def call(args):
2022-11-23T01:32:32.2061741Z     arg0_1, = args
2022-11-23T01:32:32.2061818Z     args.clear()
2022-11-23T01:32:32.2062017Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T01:32:32.2062025Z 
2022-11-23T01:32:32.2062030Z 
2022-11-23T01:32:32.2062114Z if __name__ == "__main__":
2022-11-23T01:32:32.2062233Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2062373Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2062618Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2062727Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2062741Z 
2022-11-23T01:32:32.2062745Z 
2022-11-23T01:32:32.2062836Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2062915Z import torch
2022-11-23T01:32:32.2062990Z import random
2022-11-23T01:32:32.2063110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2063235Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2063241Z 
2022-11-23T01:32:32.2063323Z aten = torch.ops.aten
2022-11-23T01:32:32.2063517Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2063632Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2063637Z 
2022-11-23T01:32:32.2063712Z import triton
2022-11-23T01:32:32.2063804Z import triton.language as tl
2022-11-23T01:32:32.2063932Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2064075Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2064081Z 
2022-11-23T01:32:32.2064085Z 
2022-11-23T01:32:32.2064242Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.2064318Z import triton
2022-11-23T01:32:32.2064410Z import triton.language as tl
2022-11-23T01:32:32.2064517Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2064622Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2064756Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2064884Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2064889Z 
2022-11-23T01:32:32.2065260Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2065337Z @triton.jit
2022-11-23T01:32:32.2065471Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2065547Z     xnumel = 40
2022-11-23T01:32:32.2065639Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2065771Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2065855Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2065929Z     x0 = xindex
2022-11-23T01:32:32.2066043Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.2066121Z     tmp1 = 1
2022-11-23T01:32:32.2066202Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2066341Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.2066425Z ''')
2022-11-23T01:32:32.2066439Z 
2022-11-23T01:32:32.2066446Z 
2022-11-23T01:32:32.2066533Z async_compile.wait(globals())
2022-11-23T01:32:32.2066617Z del async_compile
2022-11-23T01:32:32.2066622Z 
2022-11-23T01:32:32.2066698Z def call(args):
2022-11-23T01:32:32.2066773Z     arg0_1, = args
2022-11-23T01:32:32.2066850Z     args.clear()
2022-11-23T01:32:32.2067056Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2067149Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2067280Z     triton_fused_add0.run(arg0_1, buf0, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.2067354Z     del arg0_1
2022-11-23T01:32:32.2067548Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T01:32:32.2067554Z 
2022-11-23T01:32:32.2067558Z 
2022-11-23T01:32:32.2067640Z if __name__ == "__main__":
2022-11-23T01:32:32.2067761Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2067889Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2068103Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2068216Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2068221Z 
2022-11-23T01:32:32.2068226Z 
2022-11-23T01:32:32.2068325Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2068393Z import torch
2022-11-23T01:32:32.2068468Z import random
2022-11-23T01:32:32.2068589Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2068713Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2068718Z 
2022-11-23T01:32:32.2068801Z aten = torch.ops.aten
2022-11-23T01:32:32.2068940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2069036Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2069042Z 
2022-11-23T01:32:32.2069117Z import triton
2022-11-23T01:32:32.2069202Z import triton.language as tl
2022-11-23T01:32:32.2069361Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2069522Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2069527Z 
2022-11-23T01:32:32.2069532Z 
2022-11-23T01:32:32.2069686Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.2069762Z import triton
2022-11-23T01:32:32.2069855Z import triton.language as tl
2022-11-23T01:32:32.2069969Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2070065Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2070200Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2070421Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2070428Z 
2022-11-23T01:32:32.2070835Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2070911Z @triton.jit
2022-11-23T01:32:32.2071048Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2071125Z     xnumel = 40
2022-11-23T01:32:32.2071224Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2071349Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2071434Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2071505Z     x0 = xindex
2022-11-23T01:32:32.2071624Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2071696Z     tmp1 = 1
2022-11-23T01:32:32.2071775Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2071910Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.2071990Z ''')
2022-11-23T01:32:32.2071995Z 
2022-11-23T01:32:32.2072008Z 
2022-11-23T01:32:32.2072095Z async_compile.wait(globals())
2022-11-23T01:32:32.2072172Z del async_compile
2022-11-23T01:32:32.2072177Z 
2022-11-23T01:32:32.2072253Z def call(args):
2022-11-23T01:32:32.2072328Z     arg0_1, = args
2022-11-23T01:32:32.2072407Z     args.clear()
2022-11-23T01:32:32.2072626Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2072730Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2072886Z     triton_fused_add0.run(arg0_1, buf0, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.2072959Z     del arg0_1
2022-11-23T01:32:32.2073149Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T01:32:32.2073155Z 
2022-11-23T01:32:32.2073159Z 
2022-11-23T01:32:32.2073240Z if __name__ == "__main__":
2022-11-23T01:32:32.2073357Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2073489Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2073695Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2073811Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2073817Z 
2022-11-23T01:32:32.2073884Z ok (0.238s)
2022-11-23T01:32:32.2074205Z   test_split_with_sizes_cuda (__main__.CudaTests) ... [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2074522Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2074742Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2074998Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2075274Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2075624Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2075989Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2076307Z [2022-11-23 01:30:19,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2076676Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2076897Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2077140Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2077240Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2077345Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2077444Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2077541Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2077642Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2077729Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2077821Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2077967Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2078061Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2078138Z               22 GET_ITER
2022-11-23T01:32:32.2078234Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2078319Z               26 RETURN_VALUE
2022-11-23T01:32:32.2078387Z  
2022-11-23T01:32:32.2078392Z 
2022-11-23T01:32:32.2078713Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2079104Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2079459Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2079752Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2080030Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2080456Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2080802Z [2022-11-23 01:30:19,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2081164Z [2022-11-23 01:30:19,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2081585Z [2022-11-23 01:30:19,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2081947Z [2022-11-23 01:30:19,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2082366Z [2022-11-23 01:30:19,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2082804Z [2022-11-23 01:30:19,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2083095Z [2022-11-23 01:30:19,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2083404Z [2022-11-23 01:30:19,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2083772Z [2022-11-23 01:30:19,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2083870Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2083971Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2084073Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2084172Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2084268Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2084367Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2084445Z               12 BINARY_ADD
2022-11-23T01:32:32.2084535Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2084638Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2084720Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2084786Z  
2022-11-23T01:32:32.2084791Z 
2022-11-23T01:32:32.2085007Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2085244Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2085520Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2085825Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2086091Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2086393Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2086738Z [2022-11-23 01:30:19,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2087039Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2087324Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2087601Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2087905Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2088178Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2088484Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2088831Z [2022-11-23 01:30:19,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2089162Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2089459Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2089735Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2090042Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2090314Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2090618Z [2022-11-23 01:30:19,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2090964Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2091273Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2091552Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2091826Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2092079Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2092463Z [2022-11-23 01:30:19,102] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2092707Z [2022-11-23 01:30:19,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2093082Z [2022-11-23 01:30:19,103] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2093329Z [2022-11-23 01:30:19,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2093570Z [2022-11-23 01:30:19,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2093829Z [2022-11-23 01:30:19,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2094080Z [2022-11-23 01:30:19,109] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2094279Z [2022-11-23 01:30:19,110] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2094421Z  __compiled_fn_734 <eval_with_key>.4524 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2094515Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2094691Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2094902Z call_function, split, <function split at 0x7f2073b11000>, (mul, [3, 3, 4], -1), {}
2022-11-23T01:32:32.2095095Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2095291Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2095480Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2095665Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2095859Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2096035Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2096153Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:32.2096158Z 
2022-11-23T01:32:32.2096524Z [2022-11-23 01:30:19,110] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2096647Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2096750Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2096843Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2096944Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2097036Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2097123Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2097205Z              12 RETURN_VALUE
2022-11-23T01:32:32.2097210Z 
2022-11-23T01:32:32.2097277Z  
2022-11-23T01:32:32.2097600Z [2022-11-23 01:30:19,110] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2097718Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_734)
2022-11-23T01:32:32.2097818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2097919Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2098001Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2098087Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2098198Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2098309Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2098405Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2098488Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2098598Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2098692Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2098767Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2098993Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2099089Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2099169Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2099265Z              30 BUILD_LIST               3
2022-11-23T01:32:32.2099348Z              32 RETURN_VALUE
2022-11-23T01:32:32.2099354Z 
2022-11-23T01:32:32.2099419Z  
2022-11-23T01:32:32.2099605Z [2022-11-23 01:30:19,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2099680Z  - 
2022-11-23T01:32:32.2099803Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2099873Z             {
2022-11-23T01:32:32.2100019Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2100208Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2100332Z                 'obj_weakref': None
2022-11-23T01:32:32.2100550Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2100620Z             }
2022-11-23T01:32:32.2100690Z             
2022-11-23T01:32:32.2100765Z  - 
2022-11-23T01:32:32.2100893Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2100961Z             {
2022-11-23T01:32:32.2101110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2101217Z                 'code': None,
2022-11-23T01:32:32.2101434Z                 'obj_weakref': <weakref at 0x7f1ffadb0b30; to 'Tensor' at 0x7f1fead93420>
2022-11-23T01:32:32.2101683Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2101753Z             }
2022-11-23T01:32:32.2101821Z             
2022-11-23T01:32:32.2101896Z  - 
2022-11-23T01:32:32.2102023Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2102084Z             {
2022-11-23T01:32:32.2102255Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2102630Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [3, 3, 4]'],
2022-11-23T01:32:32.2102800Z                 'obj_weakref': None
2022-11-23T01:32:32.2103050Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2103118Z             }
2022-11-23T01:32:32.2103186Z             
2022-11-23T01:32:32.2103261Z  - 
2022-11-23T01:32:32.2103390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2103458Z             {
2022-11-23T01:32:32.2103598Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2103771Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2103893Z                 'obj_weakref': None
2022-11-23T01:32:32.2104121Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2104190Z             }
2022-11-23T01:32:32.2104251Z             
2022-11-23T01:32:32.2104326Z  - 
2022-11-23T01:32:32.2104450Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2104518Z             {
2022-11-23T01:32:32.2104661Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2104879Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2105003Z                 'obj_weakref': None
2022-11-23T01:32:32.2105214Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2105286Z             }
2022-11-23T01:32:32.2105354Z             
2022-11-23T01:32:32.2105430Z  - 
2022-11-23T01:32:32.2105569Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2105638Z             {
2022-11-23T01:32:32.2105784Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2105972Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 3'],
2022-11-23T01:32:32.2106095Z                 'obj_weakref': None
2022-11-23T01:32:32.2106314Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2106386Z             }
2022-11-23T01:32:32.2106455Z             
2022-11-23T01:32:32.2106534Z  - 
2022-11-23T01:32:32.2106671Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2106733Z             {
2022-11-23T01:32:32.2106877Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2107073Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:32.2107195Z                 'obj_weakref': None
2022-11-23T01:32:32.2107413Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2107486Z             }
2022-11-23T01:32:32.2107554Z             
2022-11-23T01:32:32.2107623Z  - 
2022-11-23T01:32:32.2107761Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2107831Z             {
2022-11-23T01:32:32.2107976Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2108170Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 4'],
2022-11-23T01:32:32.2108296Z                 'obj_weakref': None
2022-11-23T01:32:32.2108517Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2108579Z             }
2022-11-23T01:32:32.2108651Z             
2022-11-23T01:32:32.2108727Z  - 
2022-11-23T01:32:32.2108863Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2108932Z             {
2022-11-23T01:32:32.2109058Z                 'guard_types': None,
2022-11-23T01:32:32.2109170Z                 'code': None,
2022-11-23T01:32:32.2109284Z                 'obj_weakref': None
2022-11-23T01:32:32.2109408Z                 'guarded_class': None
2022-11-23T01:32:32.2109477Z             }
2022-11-23T01:32:32.2109546Z             
2022-11-23T01:32:32.2109807Z [2022-11-23 01:30:19,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 716
2022-11-23T01:32:32.2110055Z [2022-11-23 01:30:19,140] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2110404Z [2022-11-23 01:30:19,143] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2110709Z [2022-11-23 01:30:19,145] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2111072Z [2022-11-23 01:30:19,238] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/coftngxfkpepyj3t473ie32jkdnrafozxauulcgma3mr6j6xcoqs.py
2022-11-23T01:32:32.2111336Z [2022-11-23 01:30:19,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 716
2022-11-23T01:32:32.2111574Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2111883Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2112108Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2112365Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2112643Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2112958Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2113303Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2113620Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2113991Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2114217Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2114468Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2114568Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2114671Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2114770Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2114867Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2114967Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2115047Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2115146Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2115286Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2115383Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2115463Z               22 GET_ITER
2022-11-23T01:32:32.2115558Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2115641Z               26 RETURN_VALUE
2022-11-23T01:32:32.2115701Z  
2022-11-23T01:32:32.2115706Z 
2022-11-23T01:32:32.2116017Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2116405Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2116753Z [2022-11-23 01:30:19,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2117066Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2117360Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2117774Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2118111Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2118474Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2118891Z [2022-11-23 01:30:19,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2119261Z [2022-11-23 01:30:19,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2119647Z [2022-11-23 01:30:19,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2120064Z [2022-11-23 01:30:19,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2120348Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2120656Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2121033Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2121132Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2121231Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2121331Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2121429Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2121525Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2121617Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2121697Z               12 BINARY_ADD
2022-11-23T01:32:32.2121794Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2121902Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2121985Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2122053Z  
2022-11-23T01:32:32.2122059Z 
2022-11-23T01:32:32.2122274Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2122530Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2122822Z [2022-11-23 01:30:19,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2123122Z [2022-11-23 01:30:19,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2123395Z [2022-11-23 01:30:19,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2123720Z [2022-11-23 01:30:19,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2124065Z [2022-11-23 01:30:19,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2124391Z [2022-11-23 01:30:19,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2124669Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2124943Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2125246Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2125519Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2125820Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2126169Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2126475Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2126758Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2127029Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2127334Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2127609Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2127917Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2128261Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2128566Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2128849Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2129116Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2129362Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2129752Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2129998Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2130370Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2130617Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2130853Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2131135Z [2022-11-23 01:30:19,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2131409Z [2022-11-23 01:30:19,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2131603Z [2022-11-23 01:30:19,258] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2131738Z  __compiled_fn_735 <eval_with_key>.4530 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2131831Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2132012Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2132223Z call_function, split, <function split at 0x7f2073b11000>, (mul, [3, 3, 4], -1), {}
2022-11-23T01:32:32.2132418Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2132613Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2132805Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2132987Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2133171Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2133355Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2133470Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:32.2133476Z 
2022-11-23T01:32:32.2133805Z [2022-11-23 01:30:19,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2133906Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2134008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2134102Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2134201Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2134286Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2134382Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2134463Z              12 RETURN_VALUE
2022-11-23T01:32:32.2134470Z 
2022-11-23T01:32:32.2134536Z  
2022-11-23T01:32:32.2134859Z [2022-11-23 01:30:19,259] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2134979Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_735)
2022-11-23T01:32:32.2135074Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2135171Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2135246Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2135338Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2135450Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2135561Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2135657Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2135739Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2135850Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2135941Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2136021Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2136127Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2136222Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2136302Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2136396Z              30 BUILD_LIST               3
2022-11-23T01:32:32.2136476Z              32 RETURN_VALUE
2022-11-23T01:32:32.2136481Z 
2022-11-23T01:32:32.2136540Z  
2022-11-23T01:32:32.2136729Z [2022-11-23 01:30:19,260] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2136805Z  - 
2022-11-23T01:32:32.2136930Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2136999Z             {
2022-11-23T01:32:32.2137146Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2137375Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2137512Z                 'obj_weakref': None
2022-11-23T01:32:32.2137739Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2137808Z             }
2022-11-23T01:32:32.2137877Z             
2022-11-23T01:32:32.2137953Z  - 
2022-11-23T01:32:32.2138083Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2138152Z             {
2022-11-23T01:32:32.2138293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2138410Z                 'code': None,
2022-11-23T01:32:32.2138627Z                 'obj_weakref': <weakref at 0x7f1ffad30f40; to 'Tensor' at 0x7f1ff8168810>
2022-11-23T01:32:32.2138988Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2139060Z             }
2022-11-23T01:32:32.2139129Z             
2022-11-23T01:32:32.2139205Z  - 
2022-11-23T01:32:32.2139331Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2139400Z             {
2022-11-23T01:32:32.2139578Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2139960Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [3, 3, 4]'],
2022-11-23T01:32:32.2140086Z                 'obj_weakref': None
2022-11-23T01:32:32.2140313Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2140382Z             }
2022-11-23T01:32:32.2140451Z             
2022-11-23T01:32:32.2140519Z  - 
2022-11-23T01:32:32.2140655Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2140729Z             {
2022-11-23T01:32:32.2140875Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2141051Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2141176Z                 'obj_weakref': None
2022-11-23T01:32:32.2141412Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2141474Z             }
2022-11-23T01:32:32.2141542Z             
2022-11-23T01:32:32.2141619Z  - 
2022-11-23T01:32:32.2141746Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2141815Z             {
2022-11-23T01:32:32.2141956Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2142194Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2142343Z                 'obj_weakref': None
2022-11-23T01:32:32.2142565Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2142634Z             }
2022-11-23T01:32:32.2142701Z             
2022-11-23T01:32:32.2142778Z  - 
2022-11-23T01:32:32.2142922Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2142987Z             {
2022-11-23T01:32:32.2143136Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2143340Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 3'],
2022-11-23T01:32:32.2143463Z                 'obj_weakref': None
2022-11-23T01:32:32.2143684Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2143754Z             }
2022-11-23T01:32:32.2143822Z             
2022-11-23T01:32:32.2143890Z  - 
2022-11-23T01:32:32.2144030Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2144100Z             {
2022-11-23T01:32:32.2144247Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2144445Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:32.2144572Z                 'obj_weakref': None
2022-11-23T01:32:32.2144854Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2144926Z             }
2022-11-23T01:32:32.2145013Z             
2022-11-23T01:32:32.2145089Z  - 
2022-11-23T01:32:32.2145229Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2145298Z             {
2022-11-23T01:32:32.2145445Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2145642Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 4'],
2022-11-23T01:32:32.2145758Z                 'obj_weakref': None
2022-11-23T01:32:32.2145976Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2146045Z             }
2022-11-23T01:32:32.2146113Z             
2022-11-23T01:32:32.2146189Z  - 
2022-11-23T01:32:32.2146327Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2146398Z             {
2022-11-23T01:32:32.2146516Z                 'guard_types': None,
2022-11-23T01:32:32.2146629Z                 'code': None,
2022-11-23T01:32:32.2146754Z                 'obj_weakref': None
2022-11-23T01:32:32.2146880Z                 'guarded_class': None
2022-11-23T01:32:32.2146957Z             }
2022-11-23T01:32:32.2147026Z             
2022-11-23T01:32:32.2147287Z [2022-11-23 01:30:19,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 717
2022-11-23T01:32:32.2147529Z [2022-11-23 01:30:19,282] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2147772Z [2022-11-23 01:30:19,284] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2148015Z [2022-11-23 01:30:19,286] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2148020Z 
2022-11-23T01:32:32.2148120Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2148194Z import torch
2022-11-23T01:32:32.2148269Z import random
2022-11-23T01:32:32.2148391Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2148521Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2148531Z 
2022-11-23T01:32:32.2148607Z aten = torch.ops.aten
2022-11-23T01:32:32.2148746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2148844Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2148849Z 
2022-11-23T01:32:32.2148924Z import triton
2022-11-23T01:32:32.2149016Z import triton.language as tl
2022-11-23T01:32:32.2149143Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2149292Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2149297Z 
2022-11-23T01:32:32.2149302Z 
2022-11-23T01:32:32.2149492Z triton_fused_mul_add_split_with_sizes0 = async_compile.triton('''
2022-11-23T01:32:32.2149560Z import triton
2022-11-23T01:32:32.2149654Z import triton.language as tl
2022-11-23T01:32:32.2149769Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2149872Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2150011Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2150140Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2150146Z 
2022-11-23T01:32:32.2150601Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2150675Z @triton.jit
2022-11-23T01:32:32.2150802Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2150877Z     xnumel = 12
2022-11-23T01:32:32.2150978Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2151110Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2151194Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2151273Z     x0 = xindex % 3
2022-11-23T01:32:32.2151353Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2151418Z     x2 = xindex
2022-11-23T01:32:32.2151526Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2151640Z     tmp1 = 2.0
2022-11-23T01:32:32.2151748Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2151822Z     tmp3 = 1.0
2022-11-23T01:32:32.2151902Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2152043Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2152126Z ''')
2022-11-23T01:32:32.2152132Z 
2022-11-23T01:32:32.2152136Z 
2022-11-23T01:32:32.2152328Z triton_fused_mul_split_with_sizes_add_11 = async_compile.triton('''
2022-11-23T01:32:32.2152403Z import triton
2022-11-23T01:32:32.2152496Z import triton.language as tl
2022-11-23T01:32:32.2152614Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2152717Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2152851Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2152970Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2152984Z 
2022-11-23T01:32:32.2153337Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2153413Z @triton.jit
2022-11-23T01:32:32.2153545Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2153620Z     xnumel = 12
2022-11-23T01:32:32.2153719Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2153850Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2153934Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2154002Z     x0 = xindex % 3
2022-11-23T01:32:32.2154080Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2154151Z     x2 = xindex
2022-11-23T01:32:32.2154265Z     tmp0 = tl.load(in_ptr0 + (3 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2154339Z     tmp1 = 2.0
2022-11-23T01:32:32.2154419Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2154493Z     tmp3 = 1.0
2022-11-23T01:32:32.2154564Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2154703Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2154792Z ''')
2022-11-23T01:32:32.2154797Z 
2022-11-23T01:32:32.2154802Z 
2022-11-23T01:32:32.2154993Z triton_fused_mul_split_with_sizes_add_22 = async_compile.triton('''
2022-11-23T01:32:32.2155070Z import triton
2022-11-23T01:32:32.2155164Z import triton.language as tl
2022-11-23T01:32:32.2155278Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2155374Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2155509Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2155636Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2155641Z 
2022-11-23T01:32:32.2156008Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2156081Z @triton.jit
2022-11-23T01:32:32.2156216Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2156290Z     xnumel = 16
2022-11-23T01:32:32.2156392Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2156515Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2156599Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2156674Z     x0 = xindex % 4
2022-11-23T01:32:32.2156754Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2156824Z     x2 = xindex
2022-11-23T01:32:32.2156934Z     tmp0 = tl.load(in_ptr0 + (6 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2157007Z     tmp1 = 2.0
2022-11-23T01:32:32.2157079Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2157151Z     tmp3 = 1.0
2022-11-23T01:32:32.2157229Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2157366Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2157453Z ''')
2022-11-23T01:32:32.2157458Z 
2022-11-23T01:32:32.2157462Z 
2022-11-23T01:32:32.2157558Z async_compile.wait(globals())
2022-11-23T01:32:32.2157637Z del async_compile
2022-11-23T01:32:32.2157672Z 
2022-11-23T01:32:32.2157749Z def call(args):
2022-11-23T01:32:32.2157837Z     arg0_1, = args
2022-11-23T01:32:32.2157913Z     args.clear()
2022-11-23T01:32:32.2158119Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2158212Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2158372Z     triton_fused_mul_add_split_with_sizes0.run(arg0_1, buf0, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2158578Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2158738Z     triton_fused_mul_split_with_sizes_add_11.run(arg0_1, buf1, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2158934Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2159092Z     triton_fused_mul_split_with_sizes_add_22.run(arg0_1, buf2, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2159166Z     del arg0_1
2022-11-23T01:32:32.2159257Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2159263Z 
2022-11-23T01:32:32.2159270Z 
2022-11-23T01:32:32.2159352Z if __name__ == "__main__":
2022-11-23T01:32:32.2159473Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2159600Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2159808Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2159915Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2159928Z 
2022-11-23T01:32:32.2160280Z [2022-11-23 01:30:19,365] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/un/cunk63qtj2aoy67f6owpuehpmuogtko6rh63kossvousji3upn3b.py
2022-11-23T01:32:32.2160545Z [2022-11-23 01:30:19,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 717
2022-11-23T01:32:32.2160782Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2161099Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2161320Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2161575Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2161850Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2162170Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2162509Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2162833Z [2022-11-23 01:30:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2163203Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2163421Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2163676Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2163774Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2163875Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2163973Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2164069Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2164197Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2164279Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2164399Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2164543Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2164637Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2164714Z               22 GET_ITER
2022-11-23T01:32:32.2164811Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2164892Z               26 RETURN_VALUE
2022-11-23T01:32:32.2164952Z  
2022-11-23T01:32:32.2164957Z 
2022-11-23T01:32:32.2165275Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2165669Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2166023Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2166313Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2166591Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2167011Z [2022-11-23 01:30:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2167353Z [2022-11-23 01:30:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2167718Z [2022-11-23 01:30:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2168139Z [2022-11-23 01:30:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2168500Z [2022-11-23 01:30:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2168883Z [2022-11-23 01:30:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2169305Z [2022-11-23 01:30:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2169591Z [2022-11-23 01:30:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2169899Z [2022-11-23 01:30:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2170275Z [2022-11-23 01:30:19,374] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2170371Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2170469Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2170567Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2170664Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2170759Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2170886Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2170979Z               12 BINARY_ADD
2022-11-23T01:32:32.2171076Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2171179Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2171261Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2171327Z  
2022-11-23T01:32:32.2171332Z 
2022-11-23T01:32:32.2171551Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2171790Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2172060Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2172367Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2172646Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2180745Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2181153Z [2022-11-23 01:30:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2181473Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2181754Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2182041Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2182391Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2182681Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2182984Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2183338Z [2022-11-23 01:30:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2183648Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2183933Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2184214Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2184522Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2184789Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2185097Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2185443Z [2022-11-23 01:30:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2185754Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2186113Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2186417Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2186668Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2187062Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2187309Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2187686Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2187934Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2188170Z [2022-11-23 01:30:19,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2188431Z [2022-11-23 01:30:19,380] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2188685Z [2022-11-23 01:30:19,385] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2188881Z [2022-11-23 01:30:19,385] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2189023Z  __compiled_fn_736 <eval_with_key>.4536 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2189120Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2189303Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2189514Z call_function, split, <function split at 0x7f2073b11000>, (mul, [4, 3, 3], -1), {}
2022-11-23T01:32:32.2189702Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2189900Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2190092Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2190351Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2190559Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2190743Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2190860Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:32.2190866Z 
2022-11-23T01:32:32.2191193Z [2022-11-23 01:30:19,386] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2191295Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2191387Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2191485Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2191590Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2191684Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2191781Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2191864Z              12 RETURN_VALUE
2022-11-23T01:32:32.2191870Z 
2022-11-23T01:32:32.2191937Z  
2022-11-23T01:32:32.2192245Z [2022-11-23 01:30:19,386] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2192364Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_736)
2022-11-23T01:32:32.2192462Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2192560Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2192645Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2192739Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2192899Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2193004Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2193128Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2193210Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2193319Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2193416Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2193500Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2193608Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2193704Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2193779Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2193875Z              30 BUILD_LIST               3
2022-11-23T01:32:32.2193957Z              32 RETURN_VALUE
2022-11-23T01:32:32.2193962Z 
2022-11-23T01:32:32.2194029Z  
2022-11-23T01:32:32.2194218Z [2022-11-23 01:30:19,387] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2194295Z  - 
2022-11-23T01:32:32.2194422Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2194488Z             {
2022-11-23T01:32:32.2194635Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2194833Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2194958Z                 'obj_weakref': None
2022-11-23T01:32:32.2195185Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2195258Z             }
2022-11-23T01:32:32.2195328Z             
2022-11-23T01:32:32.2195397Z  - 
2022-11-23T01:32:32.2195527Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2195597Z             {
2022-11-23T01:32:32.2195746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2195857Z                 'code': None,
2022-11-23T01:32:32.2196069Z                 'obj_weakref': <weakref at 0x7f20682049f0; to 'Tensor' at 0x7f1fe8169030>
2022-11-23T01:32:32.2196324Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2196390Z             }
2022-11-23T01:32:32.2196459Z             
2022-11-23T01:32:32.2196536Z  - 
2022-11-23T01:32:32.2196664Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2196734Z             {
2022-11-23T01:32:32.2196905Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2197276Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [4, 3, 3]'],
2022-11-23T01:32:32.2197394Z                 'obj_weakref': None
2022-11-23T01:32:32.2197615Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2197684Z             }
2022-11-23T01:32:32.2197754Z             
2022-11-23T01:32:32.2197829Z  - 
2022-11-23T01:32:32.2197968Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2198037Z             {
2022-11-23T01:32:32.2198173Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2198346Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2198472Z                 'obj_weakref': None
2022-11-23T01:32:32.2198703Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2198772Z             }
2022-11-23T01:32:32.2198841Z             
2022-11-23T01:32:32.2198918Z  - 
2022-11-23T01:32:32.2199038Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2199107Z             {
2022-11-23T01:32:32.2199249Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2199471Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2199598Z                 'obj_weakref': None
2022-11-23T01:32:32.2199860Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2199952Z             }
2022-11-23T01:32:32.2200014Z             
2022-11-23T01:32:32.2200091Z  - 
2022-11-23T01:32:32.2200233Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2200307Z             {
2022-11-23T01:32:32.2200456Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2200653Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 4'],
2022-11-23T01:32:32.2200778Z                 'obj_weakref': None
2022-11-23T01:32:32.2200995Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2201066Z             }
2022-11-23T01:32:32.2201135Z             
2022-11-23T01:32:32.2201212Z  - 
2022-11-23T01:32:32.2201358Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2201428Z             {
2022-11-23T01:32:32.2201574Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2201768Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:32.2201895Z                 'obj_weakref': None
2022-11-23T01:32:32.2202116Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2202186Z             }
2022-11-23T01:32:32.2202255Z             
2022-11-23T01:32:32.2202332Z  - 
2022-11-23T01:32:32.2202472Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2202534Z             {
2022-11-23T01:32:32.2202682Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2202877Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:32.2203002Z                 'obj_weakref': None
2022-11-23T01:32:32.2203222Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2203296Z             }
2022-11-23T01:32:32.2203365Z             
2022-11-23T01:32:32.2203434Z  - 
2022-11-23T01:32:32.2203575Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2203647Z             {
2022-11-23T01:32:32.2203773Z                 'guard_types': None,
2022-11-23T01:32:32.2203890Z                 'code': None,
2022-11-23T01:32:32.2204014Z                 'obj_weakref': None
2022-11-23T01:32:32.2204141Z                 'guarded_class': None
2022-11-23T01:32:32.2204203Z             }
2022-11-23T01:32:32.2204272Z             
2022-11-23T01:32:32.2204539Z [2022-11-23 01:30:19,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 718
2022-11-23T01:32:32.2204795Z [2022-11-23 01:30:19,411] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2205041Z [2022-11-23 01:30:19,413] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2205284Z [2022-11-23 01:30:19,416] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2205290Z 
2022-11-23T01:32:32.2205394Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2205471Z import torch
2022-11-23T01:32:32.2205540Z import random
2022-11-23T01:32:32.2205663Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2205790Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2205796Z 
2022-11-23T01:32:32.2205879Z aten = torch.ops.aten
2022-11-23T01:32:32.2206021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2206119Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2206124Z 
2022-11-23T01:32:32.2206200Z import triton
2022-11-23T01:32:32.2206287Z import triton.language as tl
2022-11-23T01:32:32.2206415Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2206559Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2206565Z 
2022-11-23T01:32:32.2206570Z 
2022-11-23T01:32:32.2206760Z triton_fused_split_with_sizes_add_mul0 = async_compile.triton('''
2022-11-23T01:32:32.2206837Z import triton
2022-11-23T01:32:32.2206962Z import triton.language as tl
2022-11-23T01:32:32.2207101Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2207204Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2207333Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2207462Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2207468Z 
2022-11-23T01:32:32.2207839Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2207918Z @triton.jit
2022-11-23T01:32:32.2208054Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2208130Z     xnumel = 12
2022-11-23T01:32:32.2208230Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2208362Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2208440Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2208518Z     x0 = xindex % 3
2022-11-23T01:32:32.2208601Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2208673Z     x2 = xindex
2022-11-23T01:32:32.2208801Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2208876Z     tmp1 = 2.0
2022-11-23T01:32:32.2208957Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2209024Z     tmp3 = 1.0
2022-11-23T01:32:32.2209105Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2209243Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2209331Z ''')
2022-11-23T01:32:32.2209337Z 
2022-11-23T01:32:32.2209341Z 
2022-11-23T01:32:32.2209536Z triton_fused_split_with_sizes_add_1_mul1 = async_compile.triton('''
2022-11-23T01:32:32.2209612Z import triton
2022-11-23T01:32:32.2209708Z import triton.language as tl
2022-11-23T01:32:32.2209817Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2209923Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2210060Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2210190Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2210195Z 
2022-11-23T01:32:32.2210553Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2210627Z @triton.jit
2022-11-23T01:32:32.2210762Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2210837Z     xnumel = 12
2022-11-23T01:32:32.2210929Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2211061Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2211146Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2211221Z     x0 = xindex % 3
2022-11-23T01:32:32.2211300Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2211372Z     x2 = xindex
2022-11-23T01:32:32.2211504Z     tmp0 = tl.load(in_ptr0 + (3 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2211574Z     tmp1 = 2.0
2022-11-23T01:32:32.2211656Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2211728Z     tmp3 = 1.0
2022-11-23T01:32:32.2211810Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2211948Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2212035Z ''')
2022-11-23T01:32:32.2212040Z 
2022-11-23T01:32:32.2212045Z 
2022-11-23T01:32:32.2212236Z triton_fused_split_with_sizes_add_2_mul2 = async_compile.triton('''
2022-11-23T01:32:32.2212305Z import triton
2022-11-23T01:32:32.2212413Z import triton.language as tl
2022-11-23T01:32:32.2212542Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2212669Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2212803Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2212930Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2212935Z 
2022-11-23T01:32:32.2213334Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2213430Z @triton.jit
2022-11-23T01:32:32.2213559Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2213636Z     xnumel = 16
2022-11-23T01:32:32.2213735Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2213870Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2213955Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2214029Z     x0 = xindex % 4
2022-11-23T01:32:32.2214110Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2214174Z     x2 = xindex
2022-11-23T01:32:32.2214306Z     tmp0 = tl.load(in_ptr0 + (6 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2214380Z     tmp1 = 2.0
2022-11-23T01:32:32.2214464Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2214536Z     tmp3 = 1.0
2022-11-23T01:32:32.2214614Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2214754Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2214838Z ''')
2022-11-23T01:32:32.2214844Z 
2022-11-23T01:32:32.2214857Z 
2022-11-23T01:32:32.2214944Z async_compile.wait(globals())
2022-11-23T01:32:32.2215023Z del async_compile
2022-11-23T01:32:32.2215028Z 
2022-11-23T01:32:32.2215103Z def call(args):
2022-11-23T01:32:32.2215178Z     arg0_1, = args
2022-11-23T01:32:32.2215254Z     args.clear()
2022-11-23T01:32:32.2215460Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2215553Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2215708Z     triton_fused_split_with_sizes_add_mul0.run(arg0_1, buf0, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2215911Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2216072Z     triton_fused_split_with_sizes_add_1_mul1.run(arg0_1, buf1, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2216276Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2216436Z     triton_fused_split_with_sizes_add_2_mul2.run(arg0_1, buf2, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2216516Z     del arg0_1
2022-11-23T01:32:32.2216605Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2216610Z 
2022-11-23T01:32:32.2216615Z 
2022-11-23T01:32:32.2216697Z if __name__ == "__main__":
2022-11-23T01:32:32.2216811Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2216940Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2217149Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2217263Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2217269Z 
2022-11-23T01:32:32.2217636Z [2022-11-23 01:30:19,493] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/et/cet4qtxiytvwbtegtqjyhwkh47heqgljvnon2dydjozvxervxkmb.py
2022-11-23T01:32:32.2217909Z [2022-11-23 01:30:19,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 718
2022-11-23T01:32:32.2218150Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2218465Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2218686Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2219148Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2219431Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2219749Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2220152Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2220514Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2220892Z [2022-11-23 01:30:19,497] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2221116Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2221373Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2221472Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2221577Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2221673Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2221770Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2221870Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2221959Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2222061Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2222206Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2222301Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2222372Z               22 GET_ITER
2022-11-23T01:32:32.2222468Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2222551Z               26 RETURN_VALUE
2022-11-23T01:32:32.2222619Z  
2022-11-23T01:32:32.2222624Z 
2022-11-23T01:32:32.2222940Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2223331Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2223684Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2223974Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2224250Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2224668Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2225005Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2225373Z [2022-11-23 01:30:19,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2225790Z [2022-11-23 01:30:19,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2226156Z [2022-11-23 01:30:19,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2226604Z [2022-11-23 01:30:19,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2227051Z [2022-11-23 01:30:19,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2227347Z [2022-11-23 01:30:19,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2227659Z [2022-11-23 01:30:19,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2228046Z [2022-11-23 01:30:19,502] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2228149Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2228254Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2228355Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2228448Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2228548Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2228649Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2228732Z               12 BINARY_ADD
2022-11-23T01:32:32.2228831Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2228933Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2229017Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2229077Z  
2022-11-23T01:32:32.2229089Z 
2022-11-23T01:32:32.2229298Z [2022-11-23 01:30:19,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2229536Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2229816Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2230127Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2230503Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2230835Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2231178Z [2022-11-23 01:30:19,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2231488Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2231773Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2232053Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2232358Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2232625Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2232937Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2233287Z [2022-11-23 01:30:19,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2233631Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2233939Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2234216Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2234522Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2234798Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2235107Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2235457Z [2022-11-23 01:30:19,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2235767Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2236040Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2236316Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2236568Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2236961Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2237209Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2237586Z [2022-11-23 01:30:19,506] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2237837Z [2022-11-23 01:30:19,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2238075Z [2022-11-23 01:30:19,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2238337Z [2022-11-23 01:30:19,508] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2238591Z [2022-11-23 01:30:19,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2238780Z [2022-11-23 01:30:19,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2238924Z  __compiled_fn_737 <eval_with_key>.4542 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2239023Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2239207Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2239425Z call_function, split, <function split at 0x7f2073b11000>, (mul, [4, 3, 3], -1), {}
2022-11-23T01:32:32.2239618Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2239815Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2240007Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2240185Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2240375Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2240560Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2240675Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:32.2240681Z 
2022-11-23T01:32:32.2241039Z [2022-11-23 01:30:19,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2241159Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2241259Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2241354Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2241449Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2241543Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2241640Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2241725Z              12 RETURN_VALUE
2022-11-23T01:32:32.2241731Z 
2022-11-23T01:32:32.2241798Z  
2022-11-23T01:32:32.2242122Z [2022-11-23 01:30:19,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2242244Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_737)
2022-11-23T01:32:32.2242342Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2242436Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2242527Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2242625Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2242738Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2242866Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2242970Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2243072Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2243177Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2243279Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2243363Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2243470Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2243566Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2243650Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2243746Z              30 BUILD_LIST               3
2022-11-23T01:32:32.2243820Z              32 RETURN_VALUE
2022-11-23T01:32:32.2243830Z 
2022-11-23T01:32:32.2243896Z  
2022-11-23T01:32:32.2244086Z [2022-11-23 01:30:19,515] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2244165Z  - 
2022-11-23T01:32:32.2244290Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2244360Z             {
2022-11-23T01:32:32.2244508Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2244690Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2244814Z                 'obj_weakref': None
2022-11-23T01:32:32.2245043Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2245113Z             }
2022-11-23T01:32:32.2245182Z             
2022-11-23T01:32:32.2245258Z  - 
2022-11-23T01:32:32.2245386Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2245449Z             {
2022-11-23T01:32:32.2245600Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2245714Z                 'code': None,
2022-11-23T01:32:32.2245929Z                 'obj_weakref': <weakref at 0x7f1feadc0090; to 'Tensor' at 0x7f1fd97daf20>
2022-11-23T01:32:32.2246180Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2246250Z             }
2022-11-23T01:32:32.2246319Z             
2022-11-23T01:32:32.2246388Z  - 
2022-11-23T01:32:32.2246519Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2246588Z             {
2022-11-23T01:32:32.2246765Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2247141Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', 'ex[1] == [4, 3, 3]'],
2022-11-23T01:32:32.2247266Z                 'obj_weakref': None
2022-11-23T01:32:32.2247544Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2247635Z             }
2022-11-23T01:32:32.2247697Z             
2022-11-23T01:32:32.2247775Z  - 
2022-11-23T01:32:32.2247913Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2247984Z             {
2022-11-23T01:32:32.2248125Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2248298Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2248424Z                 'obj_weakref': None
2022-11-23T01:32:32.2248645Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2248716Z             }
2022-11-23T01:32:32.2248784Z             
2022-11-23T01:32:32.2248861Z  - 
2022-11-23T01:32:32.2248989Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2249059Z             {
2022-11-23T01:32:32.2249199Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2249410Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2249536Z                 'obj_weakref': None
2022-11-23T01:32:32.2249756Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2249827Z             }
2022-11-23T01:32:32.2249898Z             
2022-11-23T01:32:32.2249974Z  - 
2022-11-23T01:32:32.2250116Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2250178Z             {
2022-11-23T01:32:32.2250326Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2250522Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 4'],
2022-11-23T01:32:32.2250645Z                 'obj_weakref': None
2022-11-23T01:32:32.2250867Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2250935Z             }
2022-11-23T01:32:32.2251003Z             
2022-11-23T01:32:32.2251074Z  - 
2022-11-23T01:32:32.2251222Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2251290Z             {
2022-11-23T01:32:32.2251437Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2251632Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 3'],
2022-11-23T01:32:32.2251757Z                 'obj_weakref': None
2022-11-23T01:32:32.2251974Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2252037Z             }
2022-11-23T01:32:32.2252104Z             
2022-11-23T01:32:32.2252182Z  - 
2022-11-23T01:32:32.2252322Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2252393Z             {
2022-11-23T01:32:32.2252540Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2252733Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:32.2252849Z                 'obj_weakref': None
2022-11-23T01:32:32.2253072Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2253147Z             }
2022-11-23T01:32:32.2253218Z             
2022-11-23T01:32:32.2253296Z  - 
2022-11-23T01:32:32.2253437Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2253506Z             {
2022-11-23T01:32:32.2253624Z                 'guard_types': None,
2022-11-23T01:32:32.2253737Z                 'code': None,
2022-11-23T01:32:32.2253860Z                 'obj_weakref': None
2022-11-23T01:32:32.2253987Z                 'guarded_class': None
2022-11-23T01:32:32.2254057Z             }
2022-11-23T01:32:32.2254126Z             
2022-11-23T01:32:32.2254383Z [2022-11-23 01:30:19,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 719
2022-11-23T01:32:32.2254633Z [2022-11-23 01:30:19,537] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2254913Z [2022-11-23 01:30:19,539] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2255181Z [2022-11-23 01:30:19,542] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2255187Z 
2022-11-23T01:32:32.2255289Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2255368Z import torch
2022-11-23T01:32:32.2255443Z import random
2022-11-23T01:32:32.2255567Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2255687Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2255699Z 
2022-11-23T01:32:32.2255776Z aten = torch.ops.aten
2022-11-23T01:32:32.2255917Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2256015Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2256020Z 
2022-11-23T01:32:32.2256095Z import triton
2022-11-23T01:32:32.2256188Z import triton.language as tl
2022-11-23T01:32:32.2256317Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2256466Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2256473Z 
2022-11-23T01:32:32.2256478Z 
2022-11-23T01:32:32.2256666Z triton_fused_add_split_with_sizes_mul0 = async_compile.triton('''
2022-11-23T01:32:32.2256736Z import triton
2022-11-23T01:32:32.2256831Z import triton.language as tl
2022-11-23T01:32:32.2256949Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2257053Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2257191Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2257319Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2257324Z 
2022-11-23T01:32:32.2257698Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2257765Z @triton.jit
2022-11-23T01:32:32.2257905Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2257980Z     xnumel = 16
2022-11-23T01:32:32.2258081Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2258218Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2258302Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2258379Z     x0 = xindex % 4
2022-11-23T01:32:32.2258453Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2258526Z     x2 = xindex
2022-11-23T01:32:32.2258635Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2258710Z     tmp1 = 2.0
2022-11-23T01:32:32.2259050Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2259160Z     tmp3 = 1.0
2022-11-23T01:32:32.2259266Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2259422Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2259527Z ''')
2022-11-23T01:32:32.2259533Z 
2022-11-23T01:32:32.2259538Z 
2022-11-23T01:32:32.2259736Z triton_fused_add_1_split_with_sizes_mul1 = async_compile.triton('''
2022-11-23T01:32:32.2259816Z import triton
2022-11-23T01:32:32.2259912Z import triton.language as tl
2022-11-23T01:32:32.2260037Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2260142Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2260278Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2260398Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2260403Z 
2022-11-23T01:32:32.2260772Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2260846Z @triton.jit
2022-11-23T01:32:32.2260981Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2261058Z     xnumel = 12
2022-11-23T01:32:32.2261160Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2261293Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2261478Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2261577Z     x0 = xindex % 3
2022-11-23T01:32:32.2261661Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2261733Z     x2 = xindex
2022-11-23T01:32:32.2261845Z     tmp0 = tl.load(in_ptr0 + (4 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2261920Z     tmp1 = 2.0
2022-11-23T01:32:32.2261998Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2262064Z     tmp3 = 1.0
2022-11-23T01:32:32.2262144Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2262279Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2262370Z ''')
2022-11-23T01:32:32.2262375Z 
2022-11-23T01:32:32.2262380Z 
2022-11-23T01:32:32.2262570Z triton_fused_add_2_split_with_sizes_mul2 = async_compile.triton('''
2022-11-23T01:32:32.2262649Z import triton
2022-11-23T01:32:32.2262744Z import triton.language as tl
2022-11-23T01:32:32.2262861Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2262958Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2263094Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2263227Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2263233Z 
2022-11-23T01:32:32.2263589Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2263665Z @triton.jit
2022-11-23T01:32:32.2263799Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2263872Z     xnumel = 12
2022-11-23T01:32:32.2263971Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2264095Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2264179Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2264254Z     x0 = xindex % 3
2022-11-23T01:32:32.2264333Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2264404Z     x2 = xindex
2022-11-23T01:32:32.2264517Z     tmp0 = tl.load(in_ptr0 + (7 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2264584Z     tmp1 = 2.0
2022-11-23T01:32:32.2264666Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2264740Z     tmp3 = 1.0
2022-11-23T01:32:32.2264818Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2264955Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2265041Z ''')
2022-11-23T01:32:32.2265046Z 
2022-11-23T01:32:32.2265051Z 
2022-11-23T01:32:32.2265145Z async_compile.wait(globals())
2022-11-23T01:32:32.2265222Z del async_compile
2022-11-23T01:32:32.2265227Z 
2022-11-23T01:32:32.2265295Z def call(args):
2022-11-23T01:32:32.2265372Z     arg0_1, = args
2022-11-23T01:32:32.2265448Z     args.clear()
2022-11-23T01:32:32.2265651Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2265743Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2265904Z     triton_fused_add_split_with_sizes_mul0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2266110Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2266266Z     triton_fused_add_1_split_with_sizes_mul1.run(arg0_1, buf1, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2266470Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2266629Z     triton_fused_add_2_split_with_sizes_mul2.run(arg0_1, buf2, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2266705Z     del arg0_1
2022-11-23T01:32:32.2266794Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2266800Z 
2022-11-23T01:32:32.2266804Z 
2022-11-23T01:32:32.2266886Z if __name__ == "__main__":
2022-11-23T01:32:32.2267011Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2267139Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2267339Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2267454Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2267492Z 
2022-11-23T01:32:32.2267863Z [2022-11-23 01:30:19,619] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vp/cvpcyymsskc6fptg54nlcovwmotfh3jadfnmbhfba5djh3ghnjsj.py
2022-11-23T01:32:32.2268162Z [2022-11-23 01:30:19,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 719
2022-11-23T01:32:32.2268405Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2268717Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2268938Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2269197Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2269475Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2269798Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2270189Z [2022-11-23 01:30:19,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2270665Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2271087Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2271833Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2272190Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2272328Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2272469Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2272584Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2272683Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2272774Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2272861Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2272959Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2273103Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2273196Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2273272Z               22 GET_ITER
2022-11-23T01:32:32.2273371Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2273453Z               26 RETURN_VALUE
2022-11-23T01:32:32.2273544Z  
2022-11-23T01:32:32.2273551Z 
2022-11-23T01:32:32.2273986Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2274443Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2274890Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2275279Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2275564Z [2022-11-23 01:30:19,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2276194Z [2022-11-23 01:30:19,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2276605Z [2022-11-23 01:30:19,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2276975Z [2022-11-23 01:30:19,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2277398Z [2022-11-23 01:30:19,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2277771Z [2022-11-23 01:30:19,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2278167Z [2022-11-23 01:30:19,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2278586Z [2022-11-23 01:30:19,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2278883Z [2022-11-23 01:30:19,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2279191Z [2022-11-23 01:30:19,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2279569Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2279673Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2279774Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2279876Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2279974Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2280069Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2280161Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2280243Z               12 BINARY_ADD
2022-11-23T01:32:32.2280340Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2280444Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2280529Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2280594Z  
2022-11-23T01:32:32.2280600Z 
2022-11-23T01:32:32.2280816Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2281047Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2281323Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2281623Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2281897Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2282198Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2282537Z [2022-11-23 01:30:19,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2282924Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2283229Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2283502Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2283807Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2284084Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2284382Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2284728Z [2022-11-23 01:30:19,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2285033Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2285318Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2285592Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2285892Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2286167Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2286476Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2286828Z [2022-11-23 01:30:19,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2287136Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2287419Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2287682Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2287983Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2288259Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2288567Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2288915Z [2022-11-23 01:30:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2289221Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2289503Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2289775Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2290052Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2290463Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2290699Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2291073Z [2022-11-23 01:30:19,634] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2291319Z [2022-11-23 01:30:19,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2291556Z [2022-11-23 01:30:19,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2291819Z [2022-11-23 01:30:19,636] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2292075Z [2022-11-23 01:30:19,642] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2292272Z [2022-11-23 01:30:19,643] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2292415Z  __compiled_fn_738 <eval_with_key>.4548 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2292510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2292684Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2292901Z call_function, split, <function split at 0x7f2073b11000>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T01:32:32.2293096Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2293292Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2293482Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2293672Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.2293858Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2294050Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2294225Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2294408Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T01:32:32.2294533Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T01:32:32.2294539Z 
2022-11-23T01:32:32.2294869Z [2022-11-23 01:30:19,643] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2294972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2295070Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2295165Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2295265Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2295352Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2295449Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2295530Z              12 RETURN_VALUE
2022-11-23T01:32:32.2295535Z 
2022-11-23T01:32:32.2295602Z  
2022-11-23T01:32:32.2295927Z [2022-11-23 01:30:19,643] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2296044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_738)
2022-11-23T01:32:32.2296142Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2296241Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2296317Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2296413Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2296525Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2296636Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2296774Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2296879Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2296987Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2297075Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2297159Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2297269Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2297366Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2297448Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2297555Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2297651Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2297725Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2297817Z              36 BUILD_LIST               4
2022-11-23T01:32:32.2297898Z              38 RETURN_VALUE
2022-11-23T01:32:32.2297903Z 
2022-11-23T01:32:32.2297970Z  
2022-11-23T01:32:32.2298164Z [2022-11-23 01:30:19,644] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2298243Z  - 
2022-11-23T01:32:32.2298368Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2298431Z             {
2022-11-23T01:32:32.2298576Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2298768Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2299135Z                 'obj_weakref': None
2022-11-23T01:32:32.2299365Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2299436Z             }
2022-11-23T01:32:32.2299505Z             
2022-11-23T01:32:32.2299574Z  - 
2022-11-23T01:32:32.2299708Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2299777Z             {
2022-11-23T01:32:32.2299926Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2300042Z                 'code': None,
2022-11-23T01:32:32.2300262Z                 'obj_weakref': <weakref at 0x7f1fd97efab0; to 'Tensor' at 0x7f20230b67f0>
2022-11-23T01:32:32.2300516Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2300585Z             }
2022-11-23T01:32:32.2300654Z             
2022-11-23T01:32:32.2300751Z  - 
2022-11-23T01:32:32.2300937Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2301039Z             {
2022-11-23T01:32:32.2301284Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2301823Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', '___check_type_id(ex[1][3], 94768292480384)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T01:32:32.2301958Z                 'obj_weakref': None
2022-11-23T01:32:32.2302211Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2302339Z             }
2022-11-23T01:32:32.2302431Z             
2022-11-23T01:32:32.2302530Z  - 
2022-11-23T01:32:32.2302670Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2302740Z             {
2022-11-23T01:32:32.2302882Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2303053Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2303183Z                 'obj_weakref': None
2022-11-23T01:32:32.2303485Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2303585Z             }
2022-11-23T01:32:32.2303680Z             
2022-11-23T01:32:32.2303787Z  - 
2022-11-23T01:32:32.2303954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2304018Z             {
2022-11-23T01:32:32.2304162Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2304383Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2304614Z                 'obj_weakref': None
2022-11-23T01:32:32.2304972Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2305073Z             }
2022-11-23T01:32:32.2305167Z             
2022-11-23T01:32:32.2305266Z  - 
2022-11-23T01:32:32.2305421Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2305491Z             {
2022-11-23T01:32:32.2305641Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2305876Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 1'],
2022-11-23T01:32:32.2306046Z                 'obj_weakref': None
2022-11-23T01:32:32.2306274Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2306336Z             }
2022-11-23T01:32:32.2306405Z             
2022-11-23T01:32:32.2306482Z  - 
2022-11-23T01:32:32.2306623Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2306692Z             {
2022-11-23T01:32:32.2306844Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2307045Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 2'],
2022-11-23T01:32:32.2307166Z                 'obj_weakref': None
2022-11-23T01:32:32.2307453Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2307527Z             }
2022-11-23T01:32:32.2307596Z             
2022-11-23T01:32:32.2307675Z  - 
2022-11-23T01:32:32.2307819Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2307888Z             {
2022-11-23T01:32:32.2308028Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2308227Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:32.2308352Z                 'obj_weakref': None
2022-11-23T01:32:32.2308572Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2308644Z             }
2022-11-23T01:32:32.2308716Z             
2022-11-23T01:32:32.2308791Z  - 
2022-11-23T01:32:32.2308923Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T01:32:32.2308993Z             {
2022-11-23T01:32:32.2309139Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2309337Z                 'code': ['___check_type_id(ex[1][3], 94768292480384)', 'ex[1][3] == 4'],
2022-11-23T01:32:32.2309460Z                 'obj_weakref': None
2022-11-23T01:32:32.2309680Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2309748Z             }
2022-11-23T01:32:32.2309809Z             
2022-11-23T01:32:32.2309884Z  - 
2022-11-23T01:32:32.2310023Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2310092Z             {
2022-11-23T01:32:32.2310220Z                 'guard_types': None,
2022-11-23T01:32:32.2310438Z                 'code': None,
2022-11-23T01:32:32.2310578Z                 'obj_weakref': None
2022-11-23T01:32:32.2310702Z                 'guarded_class': None
2022-11-23T01:32:32.2310774Z             }
2022-11-23T01:32:32.2310846Z             
2022-11-23T01:32:32.2311116Z [2022-11-23 01:30:19,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 720
2022-11-23T01:32:32.2311369Z [2022-11-23 01:30:19,674] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2311617Z [2022-11-23 01:30:19,676] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2311860Z [2022-11-23 01:30:19,679] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2312091Z [2022-11-23 01:30:19,681] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.2312105Z 
2022-11-23T01:32:32.2312199Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2312278Z import torch
2022-11-23T01:32:32.2312353Z import random
2022-11-23T01:32:32.2312522Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2312681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2312687Z 
2022-11-23T01:32:32.2312771Z aten = torch.ops.aten
2022-11-23T01:32:32.2312913Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2313003Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2313008Z 
2022-11-23T01:32:32.2313083Z import triton
2022-11-23T01:32:32.2313177Z import triton.language as tl
2022-11-23T01:32:32.2313302Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2313445Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2313451Z 
2022-11-23T01:32:32.2313455Z 
2022-11-23T01:32:32.2313647Z triton_fused_mul_add_split_with_sizes0 = async_compile.triton('''
2022-11-23T01:32:32.2313722Z import triton
2022-11-23T01:32:32.2313815Z import triton.language as tl
2022-11-23T01:32:32.2313923Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2314029Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2314169Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2314296Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2314301Z 
2022-11-23T01:32:32.2314671Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2314745Z @triton.jit
2022-11-23T01:32:32.2314881Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2314959Z     xnumel = 16
2022-11-23T01:32:32.2315051Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2315185Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2315271Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2315346Z     x0 = xindex % 4
2022-11-23T01:32:32.2315425Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2315500Z     x2 = xindex
2022-11-23T01:32:32.2315627Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2315696Z     tmp1 = 2.0
2022-11-23T01:32:32.2315778Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2315852Z     tmp3 = 1.0
2022-11-23T01:32:32.2315931Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2316069Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2316157Z ''')
2022-11-23T01:32:32.2316162Z 
2022-11-23T01:32:32.2316167Z 
2022-11-23T01:32:32.2316361Z triton_fused_add_1_mul_split_with_sizes1 = async_compile.triton('''
2022-11-23T01:32:32.2316429Z import triton
2022-11-23T01:32:32.2316522Z import triton.language as tl
2022-11-23T01:32:32.2316638Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2316741Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2316877Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2317006Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2317014Z 
2022-11-23T01:32:32.2317382Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2317459Z @triton.jit
2022-11-23T01:32:32.2317585Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2317658Z     xnumel = 12
2022-11-23T01:32:32.2317757Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2317887Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2317970Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2318045Z     x0 = xindex % 3
2022-11-23T01:32:32.2318124Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2318188Z     x2 = xindex
2022-11-23T01:32:32.2318317Z     tmp0 = tl.load(in_ptr0 + (4 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2318391Z     tmp1 = 2.0
2022-11-23T01:32:32.2318470Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2318597Z     tmp3 = 1.0
2022-11-23T01:32:32.2318677Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2318843Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2318924Z ''')
2022-11-23T01:32:32.2318930Z 
2022-11-23T01:32:32.2318934Z 
2022-11-23T01:32:32.2319126Z triton_fused_mul_add_2_split_with_sizes2 = async_compile.triton('''
2022-11-23T01:32:32.2319202Z import triton
2022-11-23T01:32:32.2319298Z import triton.language as tl
2022-11-23T01:32:32.2319415Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2319517Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2319652Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2319772Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2319784Z 
2022-11-23T01:32:32.2320147Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2320221Z @triton.jit
2022-11-23T01:32:32.2320357Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2320431Z     xnumel = 12
2022-11-23T01:32:32.2320530Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2320665Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2320748Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2320816Z     x0 = xindex % 3
2022-11-23T01:32:32.2320895Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2320967Z     x2 = xindex
2022-11-23T01:32:32.2321093Z     tmp0 = tl.load(in_ptr0 + (7 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2321166Z     tmp1 = 2.0
2022-11-23T01:32:32.2321248Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2321320Z     tmp3 = 1.0
2022-11-23T01:32:32.2321391Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2321530Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2321616Z ''')
2022-11-23T01:32:32.2321621Z 
2022-11-23T01:32:32.2321629Z 
2022-11-23T01:32:32.2321729Z async_compile.wait(globals())
2022-11-23T01:32:32.2321807Z del async_compile
2022-11-23T01:32:32.2321812Z 
2022-11-23T01:32:32.2321888Z def call(args):
2022-11-23T01:32:32.2321964Z     arg0_1, = args
2022-11-23T01:32:32.2322033Z     args.clear()
2022-11-23T01:32:32.2322236Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2322329Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2322492Z     triton_fused_mul_add_split_with_sizes0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2322695Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2322860Z     triton_fused_add_1_mul_split_with_sizes1.run(arg0_1, buf1, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2323064Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2323224Z     triton_fused_mul_add_2_split_with_sizes2.run(arg0_1, buf2, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2323292Z     del arg0_1
2022-11-23T01:32:32.2323381Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2323387Z 
2022-11-23T01:32:32.2323391Z 
2022-11-23T01:32:32.2323472Z if __name__ == "__main__":
2022-11-23T01:32:32.2323592Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2323725Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2323936Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2324049Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2324055Z 
2022-11-23T01:32:32.2324421Z [2022-11-23 01:30:19,753] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/df/cdfues3gkfqy4uawwr4fxivt4hl3cgyhzxo7ulzxkl7ruv7fharv.py
2022-11-23T01:32:32.2324686Z [2022-11-23 01:30:19,753] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 720
2022-11-23T01:32:32.2324947Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2325285Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2325505Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2325758Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2326035Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2326350Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2326692Z [2022-11-23 01:30:19,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2327013Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2327380Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:32.2327601Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:32.2327855Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:32.2327946Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:32.2328051Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2328153Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:32.2328254Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2328357Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:32.2328444Z               14 BINARY_MULTIPLY
2022-11-23T01:32:32.2328543Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:32.2328677Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:32.2328773Z               20 CALL_METHOD              3
2022-11-23T01:32:32.2328851Z               22 GET_ITER
2022-11-23T01:32:32.2328952Z               24 CALL_FUNCTION            1
2022-11-23T01:32:32.2329035Z               26 RETURN_VALUE
2022-11-23T01:32:32.2329102Z  
2022-11-23T01:32:32.2329108Z 
2022-11-23T01:32:32.2329419Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:32:32.2329811Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:32.2330154Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:32.2330444Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:32.2330717Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:32.2331141Z [2022-11-23 01:30:19,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2331514Z [2022-11-23 01:30:19,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>)]
2022-11-23T01:32:32.2331944Z [2022-11-23 01:30:19,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2332507Z [2022-11-23 01:30:19,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2332883Z [2022-11-23 01:30:19,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable()]
2022-11-23T01:32:32.2333269Z [2022-11-23 01:30:19,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2333693Z [2022-11-23 01:30:19,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f2073b11000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2333988Z [2022-11-23 01:30:19,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2334297Z [2022-11-23 01:30:19,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2334673Z [2022-11-23 01:30:19,763] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:32.2334764Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:32.2334864Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:32.2334963Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:32:32.2335062Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:32.2335161Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:32.2335260Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:32.2335341Z               12 BINARY_ADD
2022-11-23T01:32:32.2335431Z               14 LIST_APPEND              2
2022-11-23T01:32:32.2335535Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:32:32.2335618Z          >>   18 RETURN_VALUE
2022-11-23T01:32:32.2335684Z  
2022-11-23T01:32:32.2335689Z 
2022-11-23T01:32:32.2335905Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.2336141Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:32.2336416Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2336722Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2336998Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2337292Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2337641Z [2022-11-23 01:30:19,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2337951Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2338236Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2338559Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2339139Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2339422Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2339726Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2340072Z [2022-11-23 01:30:19,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2340379Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2340665Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2340934Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2341238Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2341512Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2341819Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2342165Z [2022-11-23 01:30:19,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2342473Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2342757Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2343031Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2343333Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2343606Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2343907Z [2022-11-23 01:30:19,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2344256Z [2022-11-23 01:30:19,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.2344564Z [2022-11-23 01:30:19,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:32.2344846Z [2022-11-23 01:30:19,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2345119Z [2022-11-23 01:30:19,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:32.2345367Z [2022-11-23 01:30:19,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2345757Z [2022-11-23 01:30:19,769] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f2157f23d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:32.2346063Z [2022-11-23 01:30:19,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2346467Z [2022-11-23 01:30:19,769] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f23e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:32.2346715Z [2022-11-23 01:30:19,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:32.2346953Z [2022-11-23 01:30:19,769] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2347205Z [2022-11-23 01:30:19,770] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2347460Z [2022-11-23 01:30:19,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2347655Z [2022-11-23 01:30:19,777] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2347798Z  __compiled_fn_739 <eval_with_key>.4554 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2347897Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2348081Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:32.2348297Z call_function, split, <function split at 0x7f2073b11000>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T01:32:32.2348492Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:32.2348679Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:32.2348870Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:32.2349059Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:32.2349243Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:32.2349430Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:32.2349612Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:32.2349795Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T01:32:32.2349922Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T01:32:32.2349928Z 
2022-11-23T01:32:32.2350318Z [2022-11-23 01:30:19,777] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2350437Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2350548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2350644Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2350743Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2350836Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2350930Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2351013Z              12 RETURN_VALUE
2022-11-23T01:32:32.2351018Z 
2022-11-23T01:32:32.2351078Z  
2022-11-23T01:32:32.2351405Z [2022-11-23 01:30:19,777] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2351526Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_739)
2022-11-23T01:32:32.2351624Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2351720Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2351802Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2351897Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2352001Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2352111Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2352212Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2352295Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2352404Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2352500Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2352581Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2352717Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2352833Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2352915Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2353024Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2353119Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2353201Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2353296Z              36 BUILD_LIST               4
2022-11-23T01:32:32.2353379Z              38 RETURN_VALUE
2022-11-23T01:32:32.2353384Z 
2022-11-23T01:32:32.2353443Z  
2022-11-23T01:32:32.2353634Z [2022-11-23 01:30:19,779] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2353710Z  - 
2022-11-23T01:32:32.2353836Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2353905Z             {
2022-11-23T01:32:32.2354054Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2354247Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2354366Z                 'obj_weakref': None
2022-11-23T01:32:32.2354595Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2354666Z             }
2022-11-23T01:32:32.2354734Z             
2022-11-23T01:32:32.2354810Z  - 
2022-11-23T01:32:32.2354942Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2355012Z             {
2022-11-23T01:32:32.2355152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2355267Z                 'code': None,
2022-11-23T01:32:32.2355488Z                 'obj_weakref': <weakref at 0x7f1fe0334720; to 'Tensor' at 0x7f1fd97ed9e0>
2022-11-23T01:32:32.2355735Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2355806Z             }
2022-11-23T01:32:32.2355875Z             
2022-11-23T01:32:32.2355951Z  - 
2022-11-23T01:32:32.2356070Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:32.2356142Z             {
2022-11-23T01:32:32.2356313Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.2356739Z                 'code': ['___check_type_id(ex[1], 94768292482624)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94768292480384)', '___check_type_id(ex[1][1], 94768292480384)', '___check_type_id(ex[1][2], 94768292480384)', '___check_type_id(ex[1][3], 94768292480384)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T01:32:32.2356866Z                 'obj_weakref': None
2022-11-23T01:32:32.2357095Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.2357165Z             }
2022-11-23T01:32:32.2357234Z             
2022-11-23T01:32:32.2357302Z  - 
2022-11-23T01:32:32.2357438Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2357506Z             {
2022-11-23T01:32:32.2357648Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2357824Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2357976Z                 'obj_weakref': None
2022-11-23T01:32:32.2358300Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2358367Z             }
2022-11-23T01:32:32.2358439Z             
2022-11-23T01:32:32.2358520Z  - 
2022-11-23T01:32:32.2358647Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2358716Z             {
2022-11-23T01:32:32.2358857Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2359066Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2359192Z                 'obj_weakref': None
2022-11-23T01:32:32.2359412Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2359481Z             }
2022-11-23T01:32:32.2359549Z             
2022-11-23T01:32:32.2359625Z  - 
2022-11-23T01:32:32.2359765Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:32.2359882Z             {
2022-11-23T01:32:32.2360055Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2360250Z                 'code': ['___check_type_id(ex[1][0], 94768292480384)', 'ex[1][0] == 1'],
2022-11-23T01:32:32.2360372Z                 'obj_weakref': None
2022-11-23T01:32:32.2360591Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2360660Z             }
2022-11-23T01:32:32.2360729Z             
2022-11-23T01:32:32.2360798Z  - 
2022-11-23T01:32:32.2360938Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:32.2361008Z             {
2022-11-23T01:32:32.2361153Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2361351Z                 'code': ['___check_type_id(ex[1][1], 94768292480384)', 'ex[1][1] == 2'],
2022-11-23T01:32:32.2361476Z                 'obj_weakref': None
2022-11-23T01:32:32.2361700Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2361770Z             }
2022-11-23T01:32:32.2361833Z             
2022-11-23T01:32:32.2361911Z  - 
2022-11-23T01:32:32.2362051Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:32.2362137Z             {
2022-11-23T01:32:32.2362301Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2362509Z                 'code': ['___check_type_id(ex[1][2], 94768292480384)', 'ex[1][2] == 3'],
2022-11-23T01:32:32.2362625Z                 'obj_weakref': None
2022-11-23T01:32:32.2362844Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2362913Z             }
2022-11-23T01:32:32.2362981Z             
2022-11-23T01:32:32.2363059Z  - 
2022-11-23T01:32:32.2363198Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T01:32:32.2363267Z             {
2022-11-23T01:32:32.2363404Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.2363598Z                 'code': ['___check_type_id(ex[1][3], 94768292480384)', 'ex[1][3] == 4'],
2022-11-23T01:32:32.2363723Z                 'obj_weakref': None
2022-11-23T01:32:32.2363940Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.2364007Z             }
2022-11-23T01:32:32.2364076Z             
2022-11-23T01:32:32.2364151Z  - 
2022-11-23T01:32:32.2364282Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2364350Z             {
2022-11-23T01:32:32.2364478Z                 'guard_types': None,
2022-11-23T01:32:32.2364595Z                 'code': None,
2022-11-23T01:32:32.2364718Z                 'obj_weakref': None
2022-11-23T01:32:32.2364846Z                 'guarded_class': None
2022-11-23T01:32:32.2364917Z             }
2022-11-23T01:32:32.2364978Z             
2022-11-23T01:32:32.2365242Z [2022-11-23 01:30:19,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 721
2022-11-23T01:32:32.2365497Z [2022-11-23 01:30:19,806] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2365747Z [2022-11-23 01:30:19,807] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2365989Z [2022-11-23 01:30:19,809] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2366226Z [2022-11-23 01:30:19,811] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.2366232Z 
2022-11-23T01:32:32.2366332Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2366409Z import torch
2022-11-23T01:32:32.2366477Z import random
2022-11-23T01:32:32.2366599Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2366727Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2366733Z 
2022-11-23T01:32:32.2366825Z aten = torch.ops.aten
2022-11-23T01:32:32.2366968Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2367107Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2367113Z 
2022-11-23T01:32:32.2367211Z import triton
2022-11-23T01:32:32.2367306Z import triton.language as tl
2022-11-23T01:32:32.2367425Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2367570Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2367576Z 
2022-11-23T01:32:32.2367580Z 
2022-11-23T01:32:32.2367772Z triton_fused_add_mul_split_with_sizes0 = async_compile.triton('''
2022-11-23T01:32:32.2367848Z import triton
2022-11-23T01:32:32.2367941Z import triton.language as tl
2022-11-23T01:32:32.2368059Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2368162Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2368290Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2368419Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2368424Z 
2022-11-23T01:32:32.2368794Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2368872Z @triton.jit
2022-11-23T01:32:32.2369008Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2369081Z     xnumel = 4
2022-11-23T01:32:32.2369182Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2369313Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2369391Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2369464Z     x0 = xindex
2022-11-23T01:32:32.2369568Z     tmp0 = tl.load(in_ptr0 + (10*x0), xmask)
2022-11-23T01:32:32.2369640Z     tmp1 = 2.0
2022-11-23T01:32:32.2369720Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2369793Z     tmp3 = 1.0
2022-11-23T01:32:32.2369871Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2370001Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2370089Z ''')
2022-11-23T01:32:32.2370094Z 
2022-11-23T01:32:32.2370102Z 
2022-11-23T01:32:32.2370298Z triton_fused_add_1_mul_split_with_sizes1 = async_compile.triton('''
2022-11-23T01:32:32.2370375Z import triton
2022-11-23T01:32:32.2370472Z import triton.language as tl
2022-11-23T01:32:32.2370587Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2370691Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2370828Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2370951Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2370956Z 
2022-11-23T01:32:32.2371330Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2371404Z @triton.jit
2022-11-23T01:32:32.2371539Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2371614Z     xnumel = 8
2022-11-23T01:32:32.2371716Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2371848Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2371936Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2372005Z     x0 = xindex % 2
2022-11-23T01:32:32.2372087Z     x1 = (xindex // 2)
2022-11-23T01:32:32.2372159Z     x2 = xindex
2022-11-23T01:32:32.2372269Z     tmp0 = tl.load(in_ptr0 + (1 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2372344Z     tmp1 = 2.0
2022-11-23T01:32:32.2372423Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2372489Z     tmp3 = 1.0
2022-11-23T01:32:32.2372575Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2372711Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2372801Z ''')
2022-11-23T01:32:32.2372807Z 
2022-11-23T01:32:32.2372811Z 
2022-11-23T01:32:32.2373003Z triton_fused_add_2_mul_split_with_sizes2 = async_compile.triton('''
2022-11-23T01:32:32.2373080Z import triton
2022-11-23T01:32:32.2373173Z import triton.language as tl
2022-11-23T01:32:32.2373320Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2373418Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2373588Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2373715Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2373720Z 
2022-11-23T01:32:32.2374096Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2374171Z @triton.jit
2022-11-23T01:32:32.2374301Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2374373Z     xnumel = 12
2022-11-23T01:32:32.2374471Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2374594Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2374678Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2374752Z     x0 = xindex % 3
2022-11-23T01:32:32.2374832Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2374903Z     x2 = xindex
2022-11-23T01:32:32.2375017Z     tmp0 = tl.load(in_ptr0 + (3 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2375083Z     tmp1 = 2.0
2022-11-23T01:32:32.2375162Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2375235Z     tmp3 = 1.0
2022-11-23T01:32:32.2375314Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2375451Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2375538Z ''')
2022-11-23T01:32:32.2375544Z 
2022-11-23T01:32:32.2375548Z 
2022-11-23T01:32:32.2375741Z triton_fused_mul_add_3_split_with_sizes3 = async_compile.triton('''
2022-11-23T01:32:32.2375816Z import triton
2022-11-23T01:32:32.2375901Z import triton.language as tl
2022-11-23T01:32:32.2376016Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2376118Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2376253Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2376381Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2376386Z 
2022-11-23T01:32:32.2376757Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2376828Z @triton.jit
2022-11-23T01:32:32.2376962Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2377028Z     xnumel = 16
2022-11-23T01:32:32.2377126Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2377259Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2377342Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2377417Z     x0 = xindex % 4
2022-11-23T01:32:32.2377494Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2377565Z     x2 = xindex
2022-11-23T01:32:32.2377667Z     tmp0 = tl.load(in_ptr0 + (6 + x0 + (10*x1)), xmask)
2022-11-23T01:32:32.2377743Z     tmp1 = 2.0
2022-11-23T01:32:32.2377822Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2377897Z     tmp3 = 1.0
2022-11-23T01:32:32.2377975Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2378115Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2378194Z ''')
2022-11-23T01:32:32.2378208Z 
2022-11-23T01:32:32.2378213Z 
2022-11-23T01:32:32.2378300Z async_compile.wait(globals())
2022-11-23T01:32:32.2378376Z del async_compile
2022-11-23T01:32:32.2378381Z 
2022-11-23T01:32:32.2378457Z def call(args):
2022-11-23T01:32:32.2378530Z     arg0_1, = args
2022-11-23T01:32:32.2378606Z     args.clear()
2022-11-23T01:32:32.2379038Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2379136Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2379289Z     triton_fused_add_mul_split_with_sizes0.run(arg0_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.2379495Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2379713Z     triton_fused_add_1_mul_split_with_sizes1.run(arg0_1, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2379949Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2380115Z     triton_fused_add_2_mul_split_with_sizes2.run(arg0_1, buf2, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2380317Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2380475Z     triton_fused_mul_add_3_split_with_sizes3.run(arg0_1, buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2380553Z     del arg0_1
2022-11-23T01:32:32.2380640Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.2380645Z 
2022-11-23T01:32:32.2380659Z 
2022-11-23T01:32:32.2380734Z if __name__ == "__main__":
2022-11-23T01:32:32.2380854Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2380982Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2381193Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2381310Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2381318Z 
2022-11-23T01:32:32.2381678Z [2022-11-23 01:30:19,884] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mw/cmwiez5nqcy7bmhw3libft27yvv5plwso6sm7q7szgcqfqox67oc.py
2022-11-23T01:32:32.2381942Z [2022-11-23 01:30:19,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 721
2022-11-23T01:32:32.2381948Z 
2022-11-23T01:32:32.2382046Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2382114Z import torch
2022-11-23T01:32:32.2382191Z import random
2022-11-23T01:32:32.2382311Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2382435Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2382440Z 
2022-11-23T01:32:32.2382524Z aten = torch.ops.aten
2022-11-23T01:32:32.2382661Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2382760Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2382765Z 
2022-11-23T01:32:32.2382846Z import triton
2022-11-23T01:32:32.2382932Z import triton.language as tl
2022-11-23T01:32:32.2383061Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2383206Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2383211Z 
2022-11-23T01:32:32.2383216Z 
2022-11-23T01:32:32.2383404Z triton_fused_mul_split_with_sizes_add0 = async_compile.triton('''
2022-11-23T01:32:32.2383479Z import triton
2022-11-23T01:32:32.2383570Z import triton.language as tl
2022-11-23T01:32:32.2383685Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2383781Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2383915Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2384043Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2384048Z 
2022-11-23T01:32:32.2384413Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2384490Z @triton.jit
2022-11-23T01:32:32.2384626Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2384699Z     xnumel = 4
2022-11-23T01:32:32.2384799Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2384922Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2385008Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2385080Z     x0 = xindex
2022-11-23T01:32:32.2385202Z     tmp0 = tl.load(in_ptr0 + (10*x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2385278Z     tmp1 = 2.0
2022-11-23T01:32:32.2385357Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2385430Z     tmp3 = 1.0
2022-11-23T01:32:32.2385502Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2385639Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2385728Z ''')
2022-11-23T01:32:32.2385733Z 
2022-11-23T01:32:32.2385768Z 
2022-11-23T01:32:32.2385960Z triton_fused_mul_split_with_sizes_add_11 = async_compile.triton('''
2022-11-23T01:32:32.2386060Z import triton
2022-11-23T01:32:32.2386153Z import triton.language as tl
2022-11-23T01:32:32.2386268Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2386364Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2386498Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2386627Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2386632Z 
2022-11-23T01:32:32.2386997Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2387072Z @triton.jit
2022-11-23T01:32:32.2387206Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2387280Z     xnumel = 8
2022-11-23T01:32:32.2387381Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2387505Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2387593Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2387668Z     x0 = xindex % 2
2022-11-23T01:32:32.2387746Z     x1 = (xindex // 2)
2022-11-23T01:32:32.2387817Z     x2 = xindex
2022-11-23T01:32:32.2387946Z     tmp0 = tl.load(in_ptr0 + (1 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2388020Z     tmp1 = 2.0
2022-11-23T01:32:32.2388091Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2388167Z     tmp3 = 1.0
2022-11-23T01:32:32.2388245Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2388383Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2388470Z ''')
2022-11-23T01:32:32.2388475Z 
2022-11-23T01:32:32.2388480Z 
2022-11-23T01:32:32.2388674Z triton_fused_add_2_split_with_sizes_mul2 = async_compile.triton('''
2022-11-23T01:32:32.2388748Z import triton
2022-11-23T01:32:32.2388841Z import triton.language as tl
2022-11-23T01:32:32.2388952Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2389059Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2389194Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2389321Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2389326Z 
2022-11-23T01:32:32.2389691Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2389766Z @triton.jit
2022-11-23T01:32:32.2389897Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2389963Z     xnumel = 12
2022-11-23T01:32:32.2390061Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2390195Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2390358Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2390448Z     x0 = xindex % 3
2022-11-23T01:32:32.2390543Z     x1 = (xindex // 3)
2022-11-23T01:32:32.2390637Z     x2 = xindex
2022-11-23T01:32:32.2390762Z     tmp0 = tl.load(in_ptr0 + (3 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2390836Z     tmp1 = 2.0
2022-11-23T01:32:32.2390914Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2390988Z     tmp3 = 1.0
2022-11-23T01:32:32.2391068Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2391204Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2391292Z ''')
2022-11-23T01:32:32.2391297Z 
2022-11-23T01:32:32.2391302Z 
2022-11-23T01:32:32.2391494Z triton_fused_add_3_mul_split_with_sizes3 = async_compile.triton('''
2022-11-23T01:32:32.2391561Z import triton
2022-11-23T01:32:32.2391655Z import triton.language as tl
2022-11-23T01:32:32.2391770Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2391872Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2392005Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2392184Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2392213Z 
2022-11-23T01:32:32.2392581Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2392653Z @triton.jit
2022-11-23T01:32:32.2392776Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2392850Z     xnumel = 16
2022-11-23T01:32:32.2392948Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2393077Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2393162Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2393238Z     x0 = xindex % 4
2022-11-23T01:32:32.2393317Z     x1 = (xindex // 4)
2022-11-23T01:32:32.2393381Z     x2 = xindex
2022-11-23T01:32:32.2393510Z     tmp0 = tl.load(in_ptr0 + (6 + x0 + (10*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2393583Z     tmp1 = 2.0
2022-11-23T01:32:32.2393665Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.2393740Z     tmp3 = 1.0
2022-11-23T01:32:32.2393819Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2393945Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2394037Z ''')
2022-11-23T01:32:32.2394042Z 
2022-11-23T01:32:32.2394047Z 
2022-11-23T01:32:32.2394141Z async_compile.wait(globals())
2022-11-23T01:32:32.2394217Z del async_compile
2022-11-23T01:32:32.2394222Z 
2022-11-23T01:32:32.2394300Z def call(args):
2022-11-23T01:32:32.2394375Z     arg0_1, = args
2022-11-23T01:32:32.2394450Z     args.clear()
2022-11-23T01:32:32.2394653Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2394737Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2394899Z     triton_fused_mul_split_with_sizes_add0.run(arg0_1, buf0, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.2395101Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2395263Z     triton_fused_mul_split_with_sizes_add_11.run(arg0_1, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2395469Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2395628Z     triton_fused_add_2_split_with_sizes_mul2.run(arg0_1, buf2, 12, grid=grid(12), stream=stream0)
2022-11-23T01:32:32.2395828Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2395986Z     triton_fused_add_3_mul_split_with_sizes3.run(arg0_1, buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2396052Z     del arg0_1
2022-11-23T01:32:32.2396146Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.2396151Z 
2022-11-23T01:32:32.2396156Z 
2022-11-23T01:32:32.2396238Z if __name__ == "__main__":
2022-11-23T01:32:32.2396356Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2396485Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2396695Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2396811Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2396816Z 
2022-11-23T01:32:32.2396892Z ok (0.796s)
2022-11-23T01:32:32.2397194Z   test_squeeze1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2397509Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2397729Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2397982Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2398257Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2398606Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2398968Z [2022-11-23 01:30:19,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2399287Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2399657Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269> 
2022-11-23T01:32:32.2399755Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2399846Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2399924Z                4 BINARY_ADD
2022-11-23T01:32:32.2400030Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2400126Z                8 CALL_METHOD              0
2022-11-23T01:32:32.2400228Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2400307Z               12 BINARY_ADD
2022-11-23T01:32:32.2400407Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2400502Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2400594Z               18 CALL_METHOD              0
2022-11-23T01:32:32.2400689Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2400769Z               22 BINARY_ADD
2022-11-23T01:32:32.2400864Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.2400946Z               26 RETURN_VALUE
2022-11-23T01:32:32.2401011Z  
2022-11-23T01:32:32.2401017Z 
2022-11-23T01:32:32.2401328Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270
2022-11-23T01:32:32.2401541Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2401782Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.2402062Z [2022-11-23 01:30:19,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2402308Z [2022-11-23 01:30:19,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2402589Z [2022-11-23 01:30:19,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2402825Z [2022-11-23 01:30:19,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.2403108Z [2022-11-23 01:30:19,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2403345Z [2022-11-23 01:30:19,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2403618Z [2022-11-23 01:30:19,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2403917Z [2022-11-23 01:30:19,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2404180Z [2022-11-23 01:30:19,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2404488Z [2022-11-23 01:30:19,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2404757Z [2022-11-23 01:30:19,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2405003Z [2022-11-23 01:30:19,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2405413Z [2022-11-23 01:30:19,894] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269>
2022-11-23T01:32:32.2405688Z [2022-11-23 01:30:19,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2405922Z [2022-11-23 01:30:19,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2406182Z [2022-11-23 01:30:19,895] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2406437Z [2022-11-23 01:30:19,899] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2406622Z [2022-11-23 01:30:19,899] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2406765Z  __compiled_fn_740 <eval_with_key>.4560 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2406861Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2407041Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2407150Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T01:32:32.2407335Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T01:32:32.2407444Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T01:32:32.2407629Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:32.2407731Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:32.2407736Z 
2022-11-23T01:32:32.2408065Z [2022-11-23 01:30:19,900] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2408166Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2408264Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2408357Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2408461Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2408556Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2408651Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2408725Z              12 RETURN_VALUE
2022-11-23T01:32:32.2408730Z 
2022-11-23T01:32:32.2408795Z  
2022-11-23T01:32:32.2409120Z [2022-11-23 01:30:19,900] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2409236Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_740)
2022-11-23T01:32:32.2409331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2409429Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2409513Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2409598Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2409709Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2409816Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2409915Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2410001Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2410110Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2410204Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2410286Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2410372Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.2410452Z              26 RETURN_VALUE
2022-11-23T01:32:32.2410457Z 
2022-11-23T01:32:32.2410523Z  
2022-11-23T01:32:32.2410712Z [2022-11-23 01:30:19,900] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2410790Z  - 
2022-11-23T01:32:32.2410918Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2410988Z             {
2022-11-23T01:32:32.2411128Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2411319Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2411477Z                 'obj_weakref': None
2022-11-23T01:32:32.2411707Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2411801Z             }
2022-11-23T01:32:32.2411869Z             
2022-11-23T01:32:32.2411946Z  - 
2022-11-23T01:32:32.2412068Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2412138Z             {
2022-11-23T01:32:32.2412292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2412405Z                 'code': None,
2022-11-23T01:32:32.2412621Z                 'obj_weakref': <weakref at 0x7f1ffade4720; to 'Tensor' at 0x7f201e6f8680>
2022-11-23T01:32:32.2412873Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2412942Z             }
2022-11-23T01:32:32.2413003Z             
2022-11-23T01:32:32.2413079Z  - 
2022-11-23T01:32:32.2413216Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2413286Z             {
2022-11-23T01:32:32.2413428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2413605Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2413731Z                 'obj_weakref': None
2022-11-23T01:32:32.2413954Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2414023Z             }
2022-11-23T01:32:32.2414093Z             
2022-11-23T01:32:32.2414168Z  - 
2022-11-23T01:32:32.2414296Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2414367Z             {
2022-11-23T01:32:32.2414508Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2414719Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2414848Z                 'obj_weakref': None
2022-11-23T01:32:32.2415072Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2415142Z             }
2022-11-23T01:32:32.2415213Z             
2022-11-23T01:32:32.2415477Z [2022-11-23 01:30:19,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 722
2022-11-23T01:32:32.2415775Z [2022-11-23 01:30:19,915] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2416139Z [2022-11-23 01:30:19,978] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g2/cg2m3r3vpejlmaevp2zuuvyizuospp5v7ibvel7w7gf2rci43x63.py
2022-11-23T01:32:32.2416398Z [2022-11-23 01:30:19,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 722
2022-11-23T01:32:32.2416634Z [2022-11-23 01:30:19,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2416947Z [2022-11-23 01:30:19,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2417168Z [2022-11-23 01:30:19,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2417421Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2417701Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2418016Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2418356Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2418672Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2419282Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269> 
2022-11-23T01:32:32.2419406Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2419507Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2419587Z                4 BINARY_ADD
2022-11-23T01:32:32.2419693Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2419789Z                8 CALL_METHOD              0
2022-11-23T01:32:32.2419885Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2419965Z               12 BINARY_ADD
2022-11-23T01:32:32.2420054Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2420156Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2420250Z               18 CALL_METHOD              0
2022-11-23T01:32:32.2420344Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2420423Z               22 BINARY_ADD
2022-11-23T01:32:32.2420523Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.2420606Z               26 RETURN_VALUE
2022-11-23T01:32:32.2420665Z  
2022-11-23T01:32:32.2420671Z 
2022-11-23T01:32:32.2420984Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270
2022-11-23T01:32:32.2421197Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2421435Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.2421714Z [2022-11-23 01:30:19,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2421959Z [2022-11-23 01:30:19,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2422243Z [2022-11-23 01:30:19,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2422479Z [2022-11-23 01:30:19,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.2422758Z [2022-11-23 01:30:19,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2422992Z [2022-11-23 01:30:19,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2423255Z [2022-11-23 01:30:19,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2423560Z [2022-11-23 01:30:19,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2423829Z [2022-11-23 01:30:19,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2424139Z [2022-11-23 01:30:19,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2424411Z [2022-11-23 01:30:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2424660Z [2022-11-23 01:30:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2425035Z [2022-11-23 01:30:19,987] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269>
2022-11-23T01:32:32.2425284Z [2022-11-23 01:30:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2425520Z [2022-11-23 01:30:19,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2425779Z [2022-11-23 01:30:19,988] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2426056Z [2022-11-23 01:30:19,992] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2426272Z [2022-11-23 01:30:19,992] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2426414Z  __compiled_fn_741 <eval_with_key>.4566 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2426510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2426689Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2426793Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T01:32:32.2426977Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T01:32:32.2427078Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T01:32:32.2427264Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:32.2427375Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:32.2427380Z 
2022-11-23T01:32:32.2427710Z [2022-11-23 01:30:19,992] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2427814Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2427910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2428004Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2428104Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2428187Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2428281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2428362Z              12 RETURN_VALUE
2022-11-23T01:32:32.2428367Z 
2022-11-23T01:32:32.2428435Z  
2022-11-23T01:32:32.2428751Z [2022-11-23 01:30:19,992] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2428869Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_741)
2022-11-23T01:32:32.2428966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2429064Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2429143Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2429237Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2429349Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2429458Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2429556Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2429637Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2429743Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2429828Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2429910Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2430004Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.2430085Z              26 RETURN_VALUE
2022-11-23T01:32:32.2430091Z 
2022-11-23T01:32:32.2430156Z  
2022-11-23T01:32:32.2430438Z [2022-11-23 01:30:19,993] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2430534Z  - 
2022-11-23T01:32:32.2430672Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2430756Z             {
2022-11-23T01:32:32.2430924Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2431118Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2431241Z                 'obj_weakref': None
2022-11-23T01:32:32.2431464Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2431533Z             }
2022-11-23T01:32:32.2431600Z             
2022-11-23T01:32:32.2431668Z  - 
2022-11-23T01:32:32.2431798Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2431869Z             {
2022-11-23T01:32:32.2432018Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2432130Z                 'code': None,
2022-11-23T01:32:32.2432341Z                 'obj_weakref': <weakref at 0x7f2127a1f560; to 'Tensor' at 0x7f1fd9ba6700>
2022-11-23T01:32:32.2432629Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2432712Z             }
2022-11-23T01:32:32.2432780Z             
2022-11-23T01:32:32.2432856Z  - 
2022-11-23T01:32:32.2432992Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2433060Z             {
2022-11-23T01:32:32.2433198Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2433365Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2433492Z                 'obj_weakref': None
2022-11-23T01:32:32.2433725Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2433793Z             }
2022-11-23T01:32:32.2433861Z             
2022-11-23T01:32:32.2433937Z  - 
2022-11-23T01:32:32.2434064Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2434125Z             {
2022-11-23T01:32:32.2434265Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2434484Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2434609Z                 'obj_weakref': None
2022-11-23T01:32:32.2434831Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2434899Z             }
2022-11-23T01:32:32.2434967Z             
2022-11-23T01:32:32.2435225Z [2022-11-23 01:30:19,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 723
2022-11-23T01:32:32.2435509Z [2022-11-23 01:30:20,006] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2435869Z [2022-11-23 01:30:20,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wn/cwn4izdj7onryquo4ln3uhlmbx3qtlwuxu4ijtlv52ymhcmhtpju.py
2022-11-23T01:32:32.2436137Z [2022-11-23 01:30:20,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 723
2022-11-23T01:32:32.2436143Z 
2022-11-23T01:32:32.2436245Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2436319Z import torch
2022-11-23T01:32:32.2436392Z import random
2022-11-23T01:32:32.2436513Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2436638Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2436644Z 
2022-11-23T01:32:32.2436719Z aten = torch.ops.aten
2022-11-23T01:32:32.2436860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2436955Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2436960Z 
2022-11-23T01:32:32.2437036Z import triton
2022-11-23T01:32:32.2437128Z import triton.language as tl
2022-11-23T01:32:32.2437259Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2437404Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2437409Z 
2022-11-23T01:32:32.2437414Z 
2022-11-23T01:32:32.2437620Z triton_fused_squeeze_add_add_2_add_1_squeeze_10 = async_compile.triton('''
2022-11-23T01:32:32.2437689Z import triton
2022-11-23T01:32:32.2437784Z import triton.language as tl
2022-11-23T01:32:32.2437899Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2438003Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2438137Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2438266Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2438271Z 
2022-11-23T01:32:32.2438653Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2438727Z @triton.jit
2022-11-23T01:32:32.2438865Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2438939Z     xnumel = 8
2022-11-23T01:32:32.2439042Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2439258Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2439366Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2439438Z     x0 = xindex
2022-11-23T01:32:32.2439536Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.2439600Z     tmp1 = 1
2022-11-23T01:32:32.2439681Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2439752Z     tmp3 = 2
2022-11-23T01:32:32.2439831Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2439909Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.2440047Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2440184Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.2440266Z ''')
2022-11-23T01:32:32.2440271Z 
2022-11-23T01:32:32.2440275Z 
2022-11-23T01:32:32.2440371Z async_compile.wait(globals())
2022-11-23T01:32:32.2440446Z del async_compile
2022-11-23T01:32:32.2440451Z 
2022-11-23T01:32:32.2440525Z def call(args):
2022-11-23T01:32:32.2440599Z     arg0_1, = args
2022-11-23T01:32:32.2440676Z     args.clear()
2022-11-23T01:32:32.2440880Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2441081Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2441165Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2441338Z     triton_fused_squeeze_add_add_2_add_1_squeeze_10.run(arg0_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2441412Z     del arg0_1
2022-11-23T01:32:32.2441493Z     return (buf0, buf1, )
2022-11-23T01:32:32.2441499Z 
2022-11-23T01:32:32.2441503Z 
2022-11-23T01:32:32.2441584Z if __name__ == "__main__":
2022-11-23T01:32:32.2441705Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2441832Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2442055Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2442170Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2442175Z 
2022-11-23T01:32:32.2442182Z 
2022-11-23T01:32:32.2442280Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2442354Z import torch
2022-11-23T01:32:32.2442430Z import random
2022-11-23T01:32:32.2442549Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2442676Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2442681Z 
2022-11-23T01:32:32.2442764Z aten = torch.ops.aten
2022-11-23T01:32:32.2442895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2442991Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2442996Z 
2022-11-23T01:32:32.2443069Z import triton
2022-11-23T01:32:32.2443163Z import triton.language as tl
2022-11-23T01:32:32.2443291Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2443432Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2443438Z 
2022-11-23T01:32:32.2443442Z 
2022-11-23T01:32:32.2443649Z triton_fused_squeeze_1_add_add_2_add_1_squeeze0 = async_compile.triton('''
2022-11-23T01:32:32.2443728Z import triton
2022-11-23T01:32:32.2443813Z import triton.language as tl
2022-11-23T01:32:32.2443930Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2444031Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2444166Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2444292Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2444297Z 
2022-11-23T01:32:32.2444679Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2444754Z @triton.jit
2022-11-23T01:32:32.2444897Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2444964Z     xnumel = 8
2022-11-23T01:32:32.2445061Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2445227Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2445331Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2445402Z     x0 = xindex
2022-11-23T01:32:32.2445524Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2445595Z     tmp1 = 1
2022-11-23T01:32:32.2445667Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2445738Z     tmp3 = 2
2022-11-23T01:32:32.2445816Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2445894Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.2446027Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2446161Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.2446248Z ''')
2022-11-23T01:32:32.2446253Z 
2022-11-23T01:32:32.2446258Z 
2022-11-23T01:32:32.2446351Z async_compile.wait(globals())
2022-11-23T01:32:32.2446421Z del async_compile
2022-11-23T01:32:32.2446426Z 
2022-11-23T01:32:32.2446502Z def call(args):
2022-11-23T01:32:32.2446577Z     arg0_1, = args
2022-11-23T01:32:32.2446652Z     args.clear()
2022-11-23T01:32:32.2446858Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2447056Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2447146Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2447312Z     triton_fused_squeeze_1_add_add_2_add_1_squeeze0.run(arg0_1, buf0, buf1, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2447386Z     del arg0_1
2022-11-23T01:32:32.2447469Z     return (buf0, buf1, )
2022-11-23T01:32:32.2447474Z 
2022-11-23T01:32:32.2447478Z 
2022-11-23T01:32:32.2447559Z if __name__ == "__main__":
2022-11-23T01:32:32.2447679Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2447805Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2448035Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2448151Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2448158Z 
2022-11-23T01:32:32.2448222Z ok (0.185s)
2022-11-23T01:32:32.2448531Z   test_squeeze2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:20,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2448847Z [2022-11-23 01:30:20,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2449067Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2449320Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2449595Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2449914Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2450256Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2450573Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2450942Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275> 
2022-11-23T01:32:32.2451034Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2451132Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2451212Z                4 BINARY_ADD
2022-11-23T01:32:32.2451314Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2451485Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.2451582Z               10 CALL_METHOD              1
2022-11-23T01:32:32.2451707Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2451795Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2451891Z               16 CALL_METHOD              1
2022-11-23T01:32:32.2451987Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2452067Z               20 BINARY_ADD
2022-11-23T01:32:32.2452166Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2452267Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2452361Z               26 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2452454Z               28 CALL_METHOD              1
2022-11-23T01:32:32.2452541Z               30 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2452619Z               32 BINARY_ADD
2022-11-23T01:32:32.2452716Z               34 BUILD_TUPLE              2
2022-11-23T01:32:32.2452797Z               36 RETURN_VALUE
2022-11-23T01:32:32.2452864Z  
2022-11-23T01:32:32.2452872Z 
2022-11-23T01:32:32.2453188Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276
2022-11-23T01:32:32.2453400Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2453636Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.2453914Z [2022-11-23 01:30:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2454162Z [2022-11-23 01:30:20,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2454441Z [2022-11-23 01:30:20,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2454761Z [2022-11-23 01:30:20,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2455008Z [2022-11-23 01:30:20,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2455284Z [2022-11-23 01:30:20,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2455598Z [2022-11-23 01:30:20,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2455836Z [2022-11-23 01:30:20,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.2456114Z [2022-11-23 01:30:20,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2456342Z [2022-11-23 01:30:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2456618Z [2022-11-23 01:30:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2456921Z [2022-11-23 01:30:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2457262Z [2022-11-23 01:30:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2457526Z [2022-11-23 01:30:20,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2457831Z [2022-11-23 01:30:20,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2458101Z [2022-11-23 01:30:20,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2458383Z [2022-11-23 01:30:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2458990Z [2022-11-23 01:30:20,082] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275>
2022-11-23T01:32:32.2459248Z [2022-11-23 01:30:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2459487Z [2022-11-23 01:30:20,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2459738Z [2022-11-23 01:30:20,083] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2459991Z [2022-11-23 01:30:20,087] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2460184Z [2022-11-23 01:30:20,087] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2460328Z  __compiled_fn_742 <eval_with_key>.4572 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2460428Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2460608Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2460759Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T01:32:32.2460867Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T01:32:32.2461051Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:32.2461161Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T01:32:32.2461344Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T01:32:32.2461454Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:32.2461460Z 
2022-11-23T01:32:32.2461791Z [2022-11-23 01:30:20,087] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2461891Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2461993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2462088Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2462180Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2462270Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2462365Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2462449Z              12 RETURN_VALUE
2022-11-23T01:32:32.2462454Z 
2022-11-23T01:32:32.2462519Z  
2022-11-23T01:32:32.2462842Z [2022-11-23 01:30:20,087] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2462959Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_742)
2022-11-23T01:32:32.2463047Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2463148Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2463229Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2463325Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2463439Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2463547Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2463644Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2463719Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2463828Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2463926Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2464006Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2464097Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.2464180Z              26 RETURN_VALUE
2022-11-23T01:32:32.2464185Z 
2022-11-23T01:32:32.2464252Z  
2022-11-23T01:32:32.2464441Z [2022-11-23 01:30:20,088] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2464509Z  - 
2022-11-23T01:32:32.2464635Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2464705Z             {
2022-11-23T01:32:32.2464910Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2465133Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2465260Z                 'obj_weakref': None
2022-11-23T01:32:32.2465488Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2465553Z             }
2022-11-23T01:32:32.2465621Z             
2022-11-23T01:32:32.2465696Z  - 
2022-11-23T01:32:32.2465824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2465892Z             {
2022-11-23T01:32:32.2466040Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2466146Z                 'code': None,
2022-11-23T01:32:32.2466364Z                 'obj_weakref': <weakref at 0x7f1fd810c2c0; to 'Tensor' at 0x7f1feadc3470>
2022-11-23T01:32:32.2466615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2466684Z             }
2022-11-23T01:32:32.2466754Z             
2022-11-23T01:32:32.2466833Z  - 
2022-11-23T01:32:32.2466969Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2467039Z             {
2022-11-23T01:32:32.2467172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2467347Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2467470Z                 'obj_weakref': None
2022-11-23T01:32:32.2467704Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2467773Z             }
2022-11-23T01:32:32.2467842Z             
2022-11-23T01:32:32.2467919Z  - 
2022-11-23T01:32:32.2468037Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2468105Z             {
2022-11-23T01:32:32.2468246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2468467Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2468594Z                 'obj_weakref': None
2022-11-23T01:32:32.2468825Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2468893Z             }
2022-11-23T01:32:32.2468954Z             
2022-11-23T01:32:32.2469219Z [2022-11-23 01:30:20,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 724
2022-11-23T01:32:32.2469518Z [2022-11-23 01:30:20,107] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2469877Z [2022-11-23 01:30:20,170] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g6/cg6whyx6dvn3kdi6bra25l6zv5ykvqiedmt6raoxgg7vrv2hpciq.py
2022-11-23T01:32:32.2470144Z [2022-11-23 01:30:20,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 724
2022-11-23T01:32:32.2470482Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2470800Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2471026Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2471286Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2471559Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2471880Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2472226Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2472579Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2472978Z [2022-11-23 01:30:20,174] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275> 
2022-11-23T01:32:32.2473080Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2473181Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2473261Z                4 BINARY_ADD
2022-11-23T01:32:32.2473364Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2473498Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.2473593Z               10 CALL_METHOD              1
2022-11-23T01:32:32.2473695Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2473791Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2473884Z               16 CALL_METHOD              1
2022-11-23T01:32:32.2473982Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2474063Z               20 BINARY_ADD
2022-11-23T01:32:32.2474151Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2474257Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:32.2474351Z               26 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2474445Z               28 CALL_METHOD              1
2022-11-23T01:32:32.2474538Z               30 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2474615Z               32 BINARY_ADD
2022-11-23T01:32:32.2474709Z               34 BUILD_TUPLE              2
2022-11-23T01:32:32.2474783Z               36 RETURN_VALUE
2022-11-23T01:32:32.2474849Z  
2022-11-23T01:32:32.2474854Z 
2022-11-23T01:32:32.2475175Z [2022-11-23 01:30:20,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276
2022-11-23T01:32:32.2475397Z [2022-11-23 01:30:20,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2475644Z [2022-11-23 01:30:20,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.2475928Z [2022-11-23 01:30:20,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2476181Z [2022-11-23 01:30:20,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2476463Z [2022-11-23 01:30:20,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2476780Z [2022-11-23 01:30:20,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2477017Z [2022-11-23 01:30:20,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:32.2477297Z [2022-11-23 01:30:20,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2477623Z [2022-11-23 01:30:20,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2477866Z [2022-11-23 01:30:20,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.2478146Z [2022-11-23 01:30:20,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2478385Z [2022-11-23 01:30:20,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2478659Z [2022-11-23 01:30:20,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2478966Z [2022-11-23 01:30:20,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:32.2479338Z [2022-11-23 01:30:20,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:32.2479627Z [2022-11-23 01:30:20,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2479935Z [2022-11-23 01:30:20,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2480195Z [2022-11-23 01:30:20,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2480446Z [2022-11-23 01:30:20,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2480826Z [2022-11-23 01:30:20,180] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275>
2022-11-23T01:32:32.2481074Z [2022-11-23 01:30:20,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2481315Z [2022-11-23 01:30:20,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2481572Z [2022-11-23 01:30:20,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2481825Z [2022-11-23 01:30:20,186] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2482020Z [2022-11-23 01:30:20,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2482162Z  __compiled_fn_743 <eval_with_key>.4578 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2482249Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2482427Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2482579Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T01:32:32.2482695Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T01:32:32.2482884Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:32.2482998Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T01:32:32.2483183Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T01:32:32.2483285Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:32.2483298Z 
2022-11-23T01:32:32.2483617Z [2022-11-23 01:30:20,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2483717Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2483813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2483905Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2484005Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2484096Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2484193Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2484269Z              12 RETURN_VALUE
2022-11-23T01:32:32.2484281Z 
2022-11-23T01:32:32.2484339Z  
2022-11-23T01:32:32.2484661Z [2022-11-23 01:30:20,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2484777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_743)
2022-11-23T01:32:32.2484873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2484969Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2485051Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2485145Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2485248Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2485356Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2485451Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2485592Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2485703Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2485828Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2485909Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2485995Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.2486075Z              26 RETURN_VALUE
2022-11-23T01:32:32.2486081Z 
2022-11-23T01:32:32.2486146Z  
2022-11-23T01:32:32.2486333Z [2022-11-23 01:30:20,187] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2486410Z  - 
2022-11-23T01:32:32.2486534Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2486604Z             {
2022-11-23T01:32:32.2486741Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2486934Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2487060Z                 'obj_weakref': None
2022-11-23T01:32:32.2487287Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2487361Z             }
2022-11-23T01:32:32.2487431Z             
2022-11-23T01:32:32.2487506Z  - 
2022-11-23T01:32:32.2487625Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2487693Z             {
2022-11-23T01:32:32.2487844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2487956Z                 'code': None,
2022-11-23T01:32:32.2488170Z                 'obj_weakref': <weakref at 0x7f1ffade4720; to 'Tensor' at 0x7f201e6f8a40>
2022-11-23T01:32:32.2488420Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2488492Z             }
2022-11-23T01:32:32.2488553Z             
2022-11-23T01:32:32.2488628Z  - 
2022-11-23T01:32:32.2488766Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2488833Z             {
2022-11-23T01:32:32.2488972Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2489150Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2489277Z                 'obj_weakref': None
2022-11-23T01:32:32.2489497Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2489565Z             }
2022-11-23T01:32:32.2489634Z             
2022-11-23T01:32:32.2489709Z  - 
2022-11-23T01:32:32.2489833Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2489901Z             {
2022-11-23T01:32:32.2490041Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2490248Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2490370Z                 'obj_weakref': None
2022-11-23T01:32:32.2490589Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2490661Z             }
2022-11-23T01:32:32.2490729Z             
2022-11-23T01:32:32.2490991Z [2022-11-23 01:30:20,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 725
2022-11-23T01:32:32.2491287Z [2022-11-23 01:30:20,203] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2491644Z [2022-11-23 01:30:20,267] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/ceye3hbc2x7ej7pxzbqax2ujcdtr2xxlquf424slriex4hineayt.py
2022-11-23T01:32:32.2491900Z [2022-11-23 01:30:20,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 725
2022-11-23T01:32:32.2491914Z 
2022-11-23T01:32:32.2492006Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2492081Z import torch
2022-11-23T01:32:32.2492157Z import random
2022-11-23T01:32:32.2492277Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2492401Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2492406Z 
2022-11-23T01:32:32.2492489Z aten = torch.ops.aten
2022-11-23T01:32:32.2492659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2492770Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2492775Z 
2022-11-23T01:32:32.2492849Z import triton
2022-11-23T01:32:32.2492942Z import triton.language as tl
2022-11-23T01:32:32.2493068Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2493210Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2493215Z 
2022-11-23T01:32:32.2493220Z 
2022-11-23T01:32:32.2493441Z triton_fused_add_2_add_squeeze_2_squeeze_squeeze_1_add_10 = async_compile.triton('''
2022-11-23T01:32:32.2493520Z import triton
2022-11-23T01:32:32.2493612Z import triton.language as tl
2022-11-23T01:32:32.2493719Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2493825Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2493960Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2494086Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2494091Z 
2022-11-23T01:32:32.2494481Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2494557Z @triton.jit
2022-11-23T01:32:32.2494702Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2494777Z     xnumel = 16
2022-11-23T01:32:32.2494868Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2494999Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2495083Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2495155Z     x0 = xindex
2022-11-23T01:32:32.2495254Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.2495325Z     tmp1 = 1
2022-11-23T01:32:32.2495407Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2495470Z     tmp3 = 2
2022-11-23T01:32:32.2495549Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2495626Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.2495767Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2495905Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.2495992Z ''')
2022-11-23T01:32:32.2495998Z 
2022-11-23T01:32:32.2496002Z 
2022-11-23T01:32:32.2496097Z async_compile.wait(globals())
2022-11-23T01:32:32.2496167Z del async_compile
2022-11-23T01:32:32.2496171Z 
2022-11-23T01:32:32.2496247Z def call(args):
2022-11-23T01:32:32.2496321Z     arg0_1, = args
2022-11-23T01:32:32.2496395Z     args.clear()
2022-11-23T01:32:32.2496614Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2496840Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2496933Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2497116Z     triton_fused_add_2_add_squeeze_2_squeeze_squeeze_1_add_10.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2497183Z     del arg0_1
2022-11-23T01:32:32.2497268Z     return (buf0, buf1, )
2022-11-23T01:32:32.2497273Z 
2022-11-23T01:32:32.2497278Z 
2022-11-23T01:32:32.2497359Z if __name__ == "__main__":
2022-11-23T01:32:32.2497477Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2497607Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2497838Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2497953Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2497958Z 
2022-11-23T01:32:32.2497962Z 
2022-11-23T01:32:32.2498060Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2498128Z import torch
2022-11-23T01:32:32.2498204Z import random
2022-11-23T01:32:32.2498325Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2498449Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2498454Z 
2022-11-23T01:32:32.2498572Z aten = torch.ops.aten
2022-11-23T01:32:32.2498735Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2498945Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2498950Z 
2022-11-23T01:32:32.2499026Z import triton
2022-11-23T01:32:32.2499111Z import triton.language as tl
2022-11-23T01:32:32.2499238Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2499379Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2499385Z 
2022-11-23T01:32:32.2499389Z 
2022-11-23T01:32:32.2499611Z triton_fused_add_2_squeeze_2_add_1_squeeze_1_add_squeeze0 = async_compile.triton('''
2022-11-23T01:32:32.2499687Z import triton
2022-11-23T01:32:32.2499779Z import triton.language as tl
2022-11-23T01:32:32.2499892Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2499988Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2500122Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2500252Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2500260Z 
2022-11-23T01:32:32.2500647Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2500720Z @triton.jit
2022-11-23T01:32:32.2500868Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2500941Z     xnumel = 16
2022-11-23T01:32:32.2501041Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2501164Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2501248Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2501320Z     x0 = xindex
2022-11-23T01:32:32.2501438Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2501510Z     tmp1 = 1
2022-11-23T01:32:32.2501589Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2501659Z     tmp3 = 2
2022-11-23T01:32:32.2501734Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2501814Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.2501950Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.2502084Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.2502169Z ''')
2022-11-23T01:32:32.2502175Z 
2022-11-23T01:32:32.2502180Z 
2022-11-23T01:32:32.2502273Z async_compile.wait(globals())
2022-11-23T01:32:32.2502350Z del async_compile
2022-11-23T01:32:32.2502355Z 
2022-11-23T01:32:32.2502430Z def call(args):
2022-11-23T01:32:32.2502497Z     arg0_1, = args
2022-11-23T01:32:32.2502572Z     args.clear()
2022-11-23T01:32:32.2502789Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2503014Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2503104Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2503287Z     triton_fused_add_2_squeeze_2_add_1_squeeze_1_add_squeeze0.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.2503362Z     del arg0_1
2022-11-23T01:32:32.2503436Z     return (buf0, buf1, )
2022-11-23T01:32:32.2503447Z 
2022-11-23T01:32:32.2503452Z 
2022-11-23T01:32:32.2503525Z if __name__ == "__main__":
2022-11-23T01:32:32.2503646Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2503775Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2504006Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2504119Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2504124Z 
2022-11-23T01:32:32.2504196Z ok (0.197s)
2022-11-23T01:32:32.2504501Z   test_stack_cuda (__main__.CudaTests) ... [2022-11-23 01:30:20,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2504884Z [2022-11-23 01:30:20,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2505123Z [2022-11-23 01:30:20,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2505375Z [2022-11-23 01:30:20,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2505651Z [2022-11-23 01:30:20,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2505969Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2506311Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2506630Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2507004Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599> 
2022-11-23T01:32:32.2507108Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2507208Z                2 LOAD_METHOD              1 (stack)
2022-11-23T01:32:32.2507214Z 
2022-11-23T01:32:32.2507310Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2507406Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:32.2507505Z                8 LOAD_CONST               1 (12)
2022-11-23T01:32:32.2507604Z               10 LOAD_CONST               2 (16)
2022-11-23T01:32:32.2507702Z               12 CALL_METHOD              2
2022-11-23T01:32:32.2507708Z 
2022-11-23T01:32:32.2507806Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2507909Z               16 LOAD_METHOD              2 (expand)
2022-11-23T01:32:32.2508008Z               18 LOAD_CONST               1 (12)
2022-11-23T01:32:32.2508097Z               20 LOAD_CONST               2 (16)
2022-11-23T01:32:32.2508192Z               22 CALL_METHOD              2
2022-11-23T01:32:32.2508198Z 
2022-11-23T01:32:32.2508289Z 2601          24 BUILD_LIST               2
2022-11-23T01:32:32.2508294Z 
2022-11-23T01:32:32.2508389Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2508394Z 
2022-11-23T01:32:32.2508487Z 2600          28 CALL_METHOD              2
2022-11-23T01:32:32.2508569Z               30 RETURN_VALUE
2022-11-23T01:32:32.2508635Z  
2022-11-23T01:32:32.2508640Z 
2022-11-23T01:32:32.2508952Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:32.2509177Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2509534Z [2022-11-23 01:30:20,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2509842Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602
2022-11-23T01:32:32.2510160Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2510615Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2511028Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:32.2511476Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:32.2511953Z [2022-11-23 01:30:20,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2512263Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603
2022-11-23T01:32:32.2512599Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2512972Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2513379Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:32.2513817Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:32.2514295Z [2022-11-23 01:30:20,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2514606Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601
2022-11-23T01:32:32.2514974Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2515273Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605
2022-11-23T01:32:32.2515610Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.2515913Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:32.2516291Z [2022-11-23 01:30:20,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2516542Z [2022-11-23 01:30:20,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.2516912Z [2022-11-23 01:30:20,277] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599>
2022-11-23T01:32:32.2517159Z [2022-11-23 01:30:20,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.2517393Z [2022-11-23 01:30:20,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2517647Z [2022-11-23 01:30:20,279] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2517895Z [2022-11-23 01:30:20,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2518121Z [2022-11-23 01:30:20,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2518279Z  __compiled_fn_744 <eval_with_key>.4584 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2518378Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2518469Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2518582Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T01:32:32.2518695Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T01:32:32.2518950Z call_function, stack, <built-in method stack of type object at 0x7f209c394c60>, ([expand, expand_1], 2), {}
2022-11-23T01:32:32.2519055Z output, output, output, ((stack,),), {}
2022-11-23T01:32:32.2519061Z 
2022-11-23T01:32:32.2519382Z [2022-11-23 01:30:20,282] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2519475Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2519575Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2519669Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2519771Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2519863Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2519963Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2520044Z              12 RETURN_VALUE
2022-11-23T01:32:32.2520049Z 
2022-11-23T01:32:32.2520109Z  
2022-11-23T01:32:32.2520423Z [2022-11-23 01:30:20,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2520540Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_744)
2022-11-23T01:32:32.2520635Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2520732Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2520815Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2520910Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2521006Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2521083Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2521176Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2521276Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.2521356Z              18 RETURN_VALUE
2022-11-23T01:32:32.2521361Z 
2022-11-23T01:32:32.2521428Z  
2022-11-23T01:32:32.2521615Z [2022-11-23 01:30:20,283] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2521692Z  - 
2022-11-23T01:32:32.2521808Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2521879Z             {
2022-11-23T01:32:32.2522023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2522213Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2522336Z                 'obj_weakref': None
2022-11-23T01:32:32.2522558Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2522633Z             }
2022-11-23T01:32:32.2522695Z             
2022-11-23T01:32:32.2522774Z  - 
2022-11-23T01:32:32.2522901Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2522969Z             {
2022-11-23T01:32:32.2523116Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2523227Z                 'code': None,
2022-11-23T01:32:32.2523441Z                 'obj_weakref': <weakref at 0x7f1fd9a46cf0; to 'Tensor' at 0x7f20728450d0>
2022-11-23T01:32:32.2523685Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2523754Z             }
2022-11-23T01:32:32.2523824Z             
2022-11-23T01:32:32.2523901Z  - 
2022-11-23T01:32:32.2524030Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2524098Z             {
2022-11-23T01:32:32.2524244Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2524349Z                 'code': None,
2022-11-23T01:32:32.2524590Z                 'obj_weakref': <weakref at 0x7f1fd9a47600; to 'Tensor' at 0x7f2151f180e0>
2022-11-23T01:32:32.2524855Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2524926Z             }
2022-11-23T01:32:32.2524995Z             
2022-11-23T01:32:32.2525071Z  - 
2022-11-23T01:32:32.2525206Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2525268Z             {
2022-11-23T01:32:32.2525407Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2525582Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2525705Z                 'obj_weakref': None
2022-11-23T01:32:32.2525930Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2526003Z             }
2022-11-23T01:32:32.2526075Z             
2022-11-23T01:32:32.2526143Z  - 
2022-11-23T01:32:32.2526267Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2526337Z             {
2022-11-23T01:32:32.2526480Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2526704Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2526828Z                 'obj_weakref': None
2022-11-23T01:32:32.2527052Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2527114Z             }
2022-11-23T01:32:32.2527183Z             
2022-11-23T01:32:32.2527259Z  - 
2022-11-23T01:32:32.2527397Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2527467Z             {
2022-11-23T01:32:32.2527592Z                 'guard_types': None,
2022-11-23T01:32:32.2527705Z                 'code': None,
2022-11-23T01:32:32.2527821Z                 'obj_weakref': None
2022-11-23T01:32:32.2527947Z                 'guarded_class': None
2022-11-23T01:32:32.2528017Z             }
2022-11-23T01:32:32.2528085Z             
2022-11-23T01:32:32.2528348Z [2022-11-23 01:30:20,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 726
2022-11-23T01:32:32.2528599Z [2022-11-23 01:30:20,299] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2528844Z [2022-11-23 01:30:20,302] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2529199Z [2022-11-23 01:30:20,384] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fx/cfxvvrbevcqwyr6ua6iwr4lau2aprc3rtfe7baenspriq32hxcyf.py
2022-11-23T01:32:32.2529465Z [2022-11-23 01:30:20,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 726
2022-11-23T01:32:32.2529707Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2530016Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2530238Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2530491Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2530766Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2531083Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2531421Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2531737Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2532148Z [2022-11-23 01:30:20,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599> 
2022-11-23T01:32:32.2532271Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2532372Z                2 LOAD_METHOD              1 (stack)
2022-11-23T01:32:32.2532378Z 
2022-11-23T01:32:32.2532477Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2532581Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:32.2532680Z                8 LOAD_CONST               1 (12)
2022-11-23T01:32:32.2532780Z               10 LOAD_CONST               2 (16)
2022-11-23T01:32:32.2532875Z               12 CALL_METHOD              2
2022-11-23T01:32:32.2532880Z 
2022-11-23T01:32:32.2532976Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2533072Z               16 LOAD_METHOD              2 (expand)
2022-11-23T01:32:32.2533169Z               18 LOAD_CONST               1 (12)
2022-11-23T01:32:32.2533266Z               20 LOAD_CONST               2 (16)
2022-11-23T01:32:32.2533362Z               22 CALL_METHOD              2
2022-11-23T01:32:32.2533367Z 
2022-11-23T01:32:32.2533463Z 2601          24 BUILD_LIST               2
2022-11-23T01:32:32.2533468Z 
2022-11-23T01:32:32.2533563Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2533567Z 
2022-11-23T01:32:32.2533661Z 2600          28 CALL_METHOD              2
2022-11-23T01:32:32.2533743Z               30 RETURN_VALUE
2022-11-23T01:32:32.2533802Z  
2022-11-23T01:32:32.2533807Z 
2022-11-23T01:32:32.2534121Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:32.2534345Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2534712Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2535027Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602
2022-11-23T01:32:32.2535346Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2535694Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2536075Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:32.2536491Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:32.2536942Z [2022-11-23 01:30:20,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2537251Z [2022-11-23 01:30:20,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603
2022-11-23T01:32:32.2537585Z [2022-11-23 01:30:20,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2537950Z [2022-11-23 01:30:20,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2538384Z [2022-11-23 01:30:20,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:32.2539066Z [2022-11-23 01:30:20,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:32.2539548Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2539855Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601
2022-11-23T01:32:32.2540227Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2540537Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605
2022-11-23T01:32:32.2540874Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.2541175Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:32:32.2541550Z [2022-11-23 01:30:20,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2541799Z [2022-11-23 01:30:20,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.2542175Z [2022-11-23 01:30:20,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eadc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599>
2022-11-23T01:32:32.2542418Z [2022-11-23 01:30:20,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.2542644Z [2022-11-23 01:30:20,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2542898Z [2022-11-23 01:30:20,393] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2543150Z [2022-11-23 01:30:20,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2543342Z [2022-11-23 01:30:20,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2543485Z  __compiled_fn_745 <eval_with_key>.4590 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2543582Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2543677Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2543789Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T01:32:32.2543893Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T01:32:32.2544143Z call_function, stack, <built-in method stack of type object at 0x7f209c394c60>, ([expand, expand_1], 2), {}
2022-11-23T01:32:32.2544246Z output, output, output, ((stack,),), {}
2022-11-23T01:32:32.2544252Z 
2022-11-23T01:32:32.2544576Z [2022-11-23 01:30:20,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2544676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2544776Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2544870Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2545023Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2545109Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2545233Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2545314Z              12 RETURN_VALUE
2022-11-23T01:32:32.2545320Z 
2022-11-23T01:32:32.2545386Z  
2022-11-23T01:32:32.2545707Z [2022-11-23 01:30:20,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2545826Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_745)
2022-11-23T01:32:32.2545923Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2546021Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2546097Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2546192Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2546287Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2554750Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2554878Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2554983Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.2555067Z              18 RETURN_VALUE
2022-11-23T01:32:32.2555073Z 
2022-11-23T01:32:32.2555133Z  
2022-11-23T01:32:32.2555353Z [2022-11-23 01:30:20,399] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2555432Z  - 
2022-11-23T01:32:32.2555558Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2555629Z             {
2022-11-23T01:32:32.2555775Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2555965Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2556084Z                 'obj_weakref': None
2022-11-23T01:32:32.2556309Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2556380Z             }
2022-11-23T01:32:32.2556450Z             
2022-11-23T01:32:32.2556527Z  - 
2022-11-23T01:32:32.2556661Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2556732Z             {
2022-11-23T01:32:32.2556875Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2556988Z                 'code': None,
2022-11-23T01:32:32.2557201Z                 'obj_weakref': <weakref at 0x7f1fd9be3650; to 'Tensor' at 0x7f2151f18130>
2022-11-23T01:32:32.2557451Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2557524Z             }
2022-11-23T01:32:32.2557596Z             
2022-11-23T01:32:32.2557673Z  - 
2022-11-23T01:32:32.2557793Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2557861Z             {
2022-11-23T01:32:32.2558007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2558121Z                 'code': None,
2022-11-23T01:32:32.2558336Z                 'obj_weakref': <weakref at 0x7f1fd810dd50; to 'Tensor' at 0x7f1ff81a7b00>
2022-11-23T01:32:32.2558588Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2558658Z             }
2022-11-23T01:32:32.2558720Z             
2022-11-23T01:32:32.2558798Z  - 
2022-11-23T01:32:32.2558934Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2559003Z             {
2022-11-23T01:32:32.2559144Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2559321Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2559444Z                 'obj_weakref': None
2022-11-23T01:32:32.2559668Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2559739Z             }
2022-11-23T01:32:32.2559807Z             
2022-11-23T01:32:32.2559883Z  - 
2022-11-23T01:32:32.2560008Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2560077Z             {
2022-11-23T01:32:32.2560219Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2560493Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2560640Z                 'obj_weakref': None
2022-11-23T01:32:32.2560862Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2560932Z             }
2022-11-23T01:32:32.2561001Z             
2022-11-23T01:32:32.2561076Z  - 
2022-11-23T01:32:32.2561212Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2561274Z             {
2022-11-23T01:32:32.2561398Z                 'guard_types': None,
2022-11-23T01:32:32.2561509Z                 'code': None,
2022-11-23T01:32:32.2561631Z                 'obj_weakref': None
2022-11-23T01:32:32.2561756Z                 'guarded_class': None
2022-11-23T01:32:32.2561825Z             }
2022-11-23T01:32:32.2561893Z             
2022-11-23T01:32:32.2562149Z [2022-11-23 01:30:20,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 727
2022-11-23T01:32:32.2562400Z [2022-11-23 01:30:20,411] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2562648Z [2022-11-23 01:30:20,413] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2563012Z [2022-11-23 01:30:20,489] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/de/cdex2wxaurupm2qursdbwj2xo7hwru2h7damloaqzpgfd7b7w6k3.py
2022-11-23T01:32:32.2563276Z [2022-11-23 01:30:20,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 727
2022-11-23T01:32:32.2563282Z 
2022-11-23T01:32:32.2563383Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2563458Z import torch
2022-11-23T01:32:32.2563532Z import random
2022-11-23T01:32:32.2563647Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2563775Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2563781Z 
2022-11-23T01:32:32.2563863Z aten = torch.ops.aten
2022-11-23T01:32:32.2564006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2564107Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2564112Z 
2022-11-23T01:32:32.2564190Z import triton
2022-11-23T01:32:32.2564285Z import triton.language as tl
2022-11-23T01:32:32.2564412Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2564548Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2564554Z 
2022-11-23T01:32:32.2564565Z 
2022-11-23T01:32:32.2564712Z triton_fused_cat0 = async_compile.triton('''
2022-11-23T01:32:32.2564787Z import triton
2022-11-23T01:32:32.2564881Z import triton.language as tl
2022-11-23T01:32:32.2564996Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2565100Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2565237Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2565367Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2565372Z 
2022-11-23T01:32:32.2565738Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2565816Z @triton.jit
2022-11-23T01:32:32.2565951Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2566032Z     xnumel = 192
2022-11-23T01:32:32.2566133Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2566266Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2566351Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2566420Z     x0 = xindex % 16
2022-11-23T01:32:32.2566492Z     x2 = xindex
2022-11-23T01:32:32.2566596Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.2566735Z     tl.store(out_ptr0 + (2*x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.2566823Z ''')
2022-11-23T01:32:32.2566828Z 
2022-11-23T01:32:32.2566832Z 
2022-11-23T01:32:32.2567019Z triton_fused_cat1 = async_compile.triton('''
2022-11-23T01:32:32.2567096Z import triton
2022-11-23T01:32:32.2567214Z import triton.language as tl
2022-11-23T01:32:32.2567322Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2567425Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2567559Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2567687Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2567692Z 
2022-11-23T01:32:32.2568060Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 2), equal_to_1=())]})
2022-11-23T01:32:32.2568134Z @triton.jit
2022-11-23T01:32:32.2568268Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2568343Z     xnumel = 192
2022-11-23T01:32:32.2568434Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2568567Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2568654Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2568738Z     x1 = (xindex // 16)
2022-11-23T01:32:32.2568811Z     x2 = xindex
2022-11-23T01:32:32.2568909Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:32.2569045Z     tl.store(out_ptr0 + (2*x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.2569125Z ''')
2022-11-23T01:32:32.2569130Z 
2022-11-23T01:32:32.2569135Z 
2022-11-23T01:32:32.2569230Z async_compile.wait(globals())
2022-11-23T01:32:32.2569308Z del async_compile
2022-11-23T01:32:32.2569313Z 
2022-11-23T01:32:32.2569389Z def call(args):
2022-11-23T01:32:32.2569470Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2569546Z     args.clear()
2022-11-23T01:32:32.2569756Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2569860Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T01:32:32.2569952Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2570094Z     triton_fused_cat0.run(arg0_1, buf0, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:32.2570171Z     del arg0_1
2022-11-23T01:32:32.2570285Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T01:32:32.2570428Z     triton_fused_cat1.run(arg1_1, buf1, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:32.2570502Z     del arg1_1
2022-11-23T01:32:32.2570579Z     return (buf2, )
2022-11-23T01:32:32.2570584Z 
2022-11-23T01:32:32.2570588Z 
2022-11-23T01:32:32.2570662Z if __name__ == "__main__":
2022-11-23T01:32:32.2570781Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2570912Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2571118Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2571315Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2571440Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2571445Z 
2022-11-23T01:32:32.2571452Z 
2022-11-23T01:32:32.2571553Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2571634Z import torch
2022-11-23T01:32:32.2571702Z import random
2022-11-23T01:32:32.2571824Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2571949Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2571954Z 
2022-11-23T01:32:32.2572041Z aten = torch.ops.aten
2022-11-23T01:32:32.2572181Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2572276Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2572282Z 
2022-11-23T01:32:32.2572358Z import triton
2022-11-23T01:32:32.2572444Z import triton.language as tl
2022-11-23T01:32:32.2572585Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2572750Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2572757Z 
2022-11-23T01:32:32.2572763Z 
2022-11-23T01:32:32.2572970Z triton_fused_cat0 = async_compile.triton('''
2022-11-23T01:32:32.2573100Z import triton
2022-11-23T01:32:32.2573197Z import triton.language as tl
2022-11-23T01:32:32.2573336Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2573439Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2573566Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2573694Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2573700Z 
2022-11-23T01:32:32.2574078Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2574152Z @triton.jit
2022-11-23T01:32:32.2574287Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2574365Z     xnumel = 192
2022-11-23T01:32:32.2574463Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2574594Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2574674Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2574757Z     x0 = xindex % 16
2022-11-23T01:32:32.2574829Z     x2 = xindex
2022-11-23T01:32:32.2574949Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2575086Z     tl.store(out_ptr0 + (2*x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.2575177Z ''')
2022-11-23T01:32:32.2575183Z 
2022-11-23T01:32:32.2575187Z 
2022-11-23T01:32:32.2575341Z triton_fused_cat1 = async_compile.triton('''
2022-11-23T01:32:32.2575410Z import triton
2022-11-23T01:32:32.2575503Z import triton.language as tl
2022-11-23T01:32:32.2575617Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2575717Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2575856Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2575982Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2575988Z 
2022-11-23T01:32:32.2576351Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 2), equal_to_1=())]})
2022-11-23T01:32:32.2576429Z @triton.jit
2022-11-23T01:32:32.2576554Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2576631Z     xnumel = 192
2022-11-23T01:32:32.2576729Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2576858Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2576945Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2577028Z     x1 = (xindex // 16)
2022-11-23T01:32:32.2577100Z     x2 = xindex
2022-11-23T01:32:32.2577214Z     tmp0 = tl.load(in_ptr0 + (x1), xmask).to(tl.float32)
2022-11-23T01:32:32.2577352Z     tl.store(out_ptr0 + (2*x2 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.2577438Z ''')
2022-11-23T01:32:32.2577443Z 
2022-11-23T01:32:32.2577448Z 
2022-11-23T01:32:32.2577544Z async_compile.wait(globals())
2022-11-23T01:32:32.2577624Z del async_compile
2022-11-23T01:32:32.2577630Z 
2022-11-23T01:32:32.2577709Z def call(args):
2022-11-23T01:32:32.2577792Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2577870Z     args.clear()
2022-11-23T01:32:32.2578070Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2578182Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T01:32:32.2578273Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2578412Z     triton_fused_cat0.run(arg0_1, buf0, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:32.2578486Z     del arg0_1
2022-11-23T01:32:32.2578602Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T01:32:32.2578736Z     triton_fused_cat1.run(arg1_1, buf1, 192, grid=grid(192), stream=stream0)
2022-11-23T01:32:32.2579021Z     del arg1_1
2022-11-23T01:32:32.2579105Z     return (buf2, )
2022-11-23T01:32:32.2579110Z 
2022-11-23T01:32:32.2579114Z 
2022-11-23T01:32:32.2579199Z if __name__ == "__main__":
2022-11-23T01:32:32.2579387Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2579548Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2579755Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2579952Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2580072Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2580077Z 
2022-11-23T01:32:32.2580142Z ok (0.222s)
2022-11-23T01:32:32.2580447Z   test_std_cuda (__main__.CudaTests) ... [2022-11-23 01:30:20,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2580762Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2580984Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2581242Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2581525Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2581839Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2582178Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2582501Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2582874Z [2022-11-23 01:30:20,494] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285> 
2022-11-23T01:32:32.2582982Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2583074Z                2 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2583175Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2583274Z                6 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2583369Z                8 CALL_METHOD              2
2022-11-23T01:32:32.2583375Z 
2022-11-23T01:32:32.2583475Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2583572Z               12 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2583671Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2583763Z               16 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2583858Z               18 CALL_METHOD              2
2022-11-23T01:32:32.2583863Z 
2022-11-23T01:32:32.2583962Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2584063Z               22 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2584162Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2584311Z               26 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2584412Z               28 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2584505Z               30 CALL_METHOD              3
2022-11-23T01:32:32.2584510Z 
2022-11-23T01:32:32.2584602Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2584701Z               34 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2584798Z               36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2584940Z               38 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2585038Z               40 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2585133Z               42 CALL_METHOD              3
2022-11-23T01:32:32.2585139Z 
2022-11-23T01:32:32.2585236Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2585327Z               46 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2585465Z               48 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2585591Z               50 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2585686Z               52 CALL_METHOD              2
2022-11-23T01:32:32.2585691Z 
2022-11-23T01:32:32.2585788Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2585884Z               56 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2585979Z               58 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2586075Z               60 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2586163Z               62 LOAD_CONST               5 (1)
2022-11-23T01:32:32.2586257Z               64 BUILD_LIST               2
2022-11-23T01:32:32.2586357Z               66 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2586450Z               68 CALL_METHOD              3
2022-11-23T01:32:32.2586455Z 
2022-11-23T01:32:32.2586552Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2586650Z               72 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2586746Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2586837Z               76 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2586932Z               78 LOAD_CONST               5 (1)
2022-11-23T01:32:32.2587025Z               80 BUILD_LIST               2
2022-11-23T01:32:32.2587121Z               82 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2587213Z               84 CALL_METHOD              3
2022-11-23T01:32:32.2587218Z 
2022-11-23T01:32:32.2587317Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2587412Z               88 LOAD_ATTR                2 (std)
2022-11-23T01:32:32.2587507Z               90 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2587643Z               92 LOAD_CONST               6 (-2)
2022-11-23T01:32:32.2587743Z               94 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2587844Z               96 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2588006Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T01:32:32.2588107Z              100 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.2588112Z 
2022-11-23T01:32:32.2588209Z 2286         102 BUILD_TUPLE              8
2022-11-23T01:32:32.2588291Z              104 RETURN_VALUE
2022-11-23T01:32:32.2588351Z  
2022-11-23T01:32:32.2588364Z 
2022-11-23T01:32:32.2588668Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287
2022-11-23T01:32:32.2588892Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2589252Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2589567Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2589909Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2590364Z [2022-11-23 01:30:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2590688Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288
2022-11-23T01:32:32.2590939Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.2591321Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2591690Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2592103Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2592534Z [2022-11-23 01:30:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2592837Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289
2022-11-23T01:32:32.2593110Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2593521Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2593884Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2594277Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2594707Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2595176Z [2022-11-23 01:30:20,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2595485Z [2022-11-23 01:30:20,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290
2022-11-23T01:32:32.2595790Z [2022-11-23 01:30:20,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2596225Z [2022-11-23 01:30:20,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2596617Z [2022-11-23 01:30:20,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2597038Z [2022-11-23 01:30:20,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2597497Z [2022-11-23 01:30:20,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2597990Z [2022-11-23 01:30:20,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2598322Z [2022-11-23 01:30:20,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291
2022-11-23T01:32:32.2598674Z [2022-11-23 01:30:20,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2599129Z [2022-11-23 01:30:20,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2599546Z [2022-11-23 01:30:20,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2599996Z [2022-11-23 01:30:20,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2600480Z [2022-11-23 01:30:20,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2600790Z [2022-11-23 01:30:20,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292
2022-11-23T01:32:32.2601145Z [2022-11-23 01:30:20,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2601641Z [2022-11-23 01:30:20,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2602079Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2602546Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2603054Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2603590Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2604084Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2604613Z [2022-11-23 01:30:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2604943Z [2022-11-23 01:30:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293
2022-11-23T01:32:32.2605338Z [2022-11-23 01:30:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2605849Z [2022-11-23 01:30:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2606313Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2606808Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2607336Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2607897Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2608419Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2608972Z [2022-11-23 01:30:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2609278Z [2022-11-23 01:30:20,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294
2022-11-23T01:32:32.2609677Z [2022-11-23 01:30:20,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2610212Z [2022-11-23 01:30:20,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2610701Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2611221Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2611800Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2612412Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2613052Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:32.2613722Z [2022-11-23 01:30:20,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.2614033Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286
2022-11-23T01:32:32.2614447Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2614699Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2615072Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285>
2022-11-23T01:32:32.2615324Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2615559Z [2022-11-23 01:30:20,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2615815Z [2022-11-23 01:30:20,509] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2616069Z [2022-11-23 01:30:20,516] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2616262Z [2022-11-23 01:30:20,516] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2616407Z  __compiled_fn_746 <eval_with_key>.4596 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2616506Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2616729Z call_function, var, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, True), {}
2022-11-23T01:32:32.2616964Z call_function, var_1, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:32.2617201Z call_function, var_2, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, True), {}
2022-11-23T01:32:32.2617436Z call_function, var_3, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, False), {}
2022-11-23T01:32:32.2617667Z call_function, std, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:32.2617903Z call_function, std_1, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], True), {}
2022-11-23T01:32:32.2618139Z call_function, std_2, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], False), {}
2022-11-23T01:32:32.2618416Z call_function, std_3, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T01:32:32.2618574Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T01:32:32.2618588Z 
2022-11-23T01:32:32.2619022Z [2022-11-23 01:30:20,517] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2619128Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2619227Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2619324Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2619425Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2619519Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2619615Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2619692Z              12 RETURN_VALUE
2022-11-23T01:32:32.2619705Z 
2022-11-23T01:32:32.2619766Z  
2022-11-23T01:32:32.2620089Z [2022-11-23 01:30:20,517] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2620216Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_746)
2022-11-23T01:32:32.2620315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2620413Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2620498Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2620597Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2620702Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2620813Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2620911Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2620994Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2621103Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2621199Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2621281Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2621384Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2621484Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2621566Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2621675Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2621771Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2621857Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2621968Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2622056Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.2622143Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.2622250Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2622345Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.2622428Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.2622535Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2622632Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.2622718Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.2622817Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2622912Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.2622995Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.2623089Z              60 BUILD_TUPLE              8
2022-11-23T01:32:32.2623171Z              62 RETURN_VALUE
2022-11-23T01:32:32.2623176Z 
2022-11-23T01:32:32.2623245Z  
2022-11-23T01:32:32.2623435Z [2022-11-23 01:30:20,518] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2623506Z  - 
2022-11-23T01:32:32.2623634Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2623709Z             {
2022-11-23T01:32:32.2623856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2624052Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2624178Z                 'obj_weakref': None
2022-11-23T01:32:32.2624459Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2624552Z             }
2022-11-23T01:32:32.2624624Z             
2022-11-23T01:32:32.2624704Z  - 
2022-11-23T01:32:32.2624836Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2624907Z             {
2022-11-23T01:32:32.2625056Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2625171Z                 'code': None,
2022-11-23T01:32:32.2625380Z                 'obj_weakref': <weakref at 0x7f1fe0335da0; to 'Tensor' at 0x7f206819dee0>
2022-11-23T01:32:32.2625629Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2625700Z             }
2022-11-23T01:32:32.2625772Z             
2022-11-23T01:32:32.2625849Z  - 
2022-11-23T01:32:32.2625986Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2626056Z             {
2022-11-23T01:32:32.2626194Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2626372Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2626501Z                 'obj_weakref': None
2022-11-23T01:32:32.2626735Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2626806Z             }
2022-11-23T01:32:32.2626880Z             
2022-11-23T01:32:32.2626957Z  - 
2022-11-23T01:32:32.2627078Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2627148Z             {
2022-11-23T01:32:32.2627292Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2627514Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2627639Z                 'obj_weakref': None
2022-11-23T01:32:32.2627866Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2627936Z             }
2022-11-23T01:32:32.2627999Z             
2022-11-23T01:32:32.2628078Z  - 
2022-11-23T01:32:32.2628217Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2628291Z             {
2022-11-23T01:32:32.2628419Z                 'guard_types': None,
2022-11-23T01:32:32.2628533Z                 'code': None,
2022-11-23T01:32:32.2628659Z                 'obj_weakref': None
2022-11-23T01:32:32.2628780Z                 'guarded_class': None
2022-11-23T01:32:32.2628850Z             }
2022-11-23T01:32:32.2628919Z             
2022-11-23T01:32:32.2629184Z [2022-11-23 01:30:20,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 728
2022-11-23T01:32:32.2630701Z [2022-11-23 01:30:20,624] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), SchedulerNode(name='buf8'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf9'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf18'), SchedulerNode(name='buf15'), SchedulerNode(name='buf14'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2630924Z [2022-11-23 01:30:20,628] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8')
2022-11-23T01:32:32.2631132Z [2022-11-23 01:30:20,628] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:32.2631337Z [2022-11-23 01:30:20,628] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.2632468Z [2022-11-23 01:30:20,629] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf17'), SchedulerNode(name='buf16'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2632702Z [2022-11-23 01:30:20,633] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:32.2632905Z [2022-11-23 01:30:20,633] torch._inductor.scheduler: [DEBUG] remove_buffer('buf6')
2022-11-23T01:32:32.2633973Z [2022-11-23 01:30:20,634] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf10'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf11'), SchedulerNode(name='buf12'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf13'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf20'), SchedulerNode(name='buf19'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2634186Z [2022-11-23 01:30:20,637] torch._inductor.scheduler: [DEBUG] remove_buffer('buf12')
2022-11-23T01:32:32.2634389Z [2022-11-23 01:30:20,637] torch._inductor.scheduler: [DEBUG] remove_buffer('buf10')
2022-11-23T01:32:32.2634630Z [2022-11-23 01:30:20,638] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf21')]
2022-11-23T01:32:32.2634644Z 
2022-11-23T01:32:32.2634740Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2634818Z import torch
2022-11-23T01:32:32.2634898Z import random
2022-11-23T01:32:32.2635021Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2635149Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2635155Z 
2022-11-23T01:32:32.2635240Z aten = torch.ops.aten
2022-11-23T01:32:32.2635384Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2635479Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2635484Z 
2022-11-23T01:32:32.2635561Z import triton
2022-11-23T01:32:32.2635655Z import triton.language as tl
2022-11-23T01:32:32.2635783Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2635927Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2635933Z 
2022-11-23T01:32:32.2635937Z 
2022-11-23T01:32:32.2636110Z triton_fused_std_var_1_var0 = async_compile.triton('''
2022-11-23T01:32:32.2636187Z import triton
2022-11-23T01:32:32.2636282Z import triton.language as tl
2022-11-23T01:32:32.2636391Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2636494Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2636631Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2636759Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2636765Z 
2022-11-23T01:32:32.2636861Z @reduction(size_hints=[1, 256],
2022-11-23T01:32:32.2636985Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2637073Z               filename=__file__,
2022-11-23T01:32:32.2637427Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 5), equal_to_1=())]})
2022-11-23T01:32:32.2637503Z @triton.jit
2022-11-23T01:32:32.2637700Z def kernel(in_out_ptr0, in_out_ptr1, in_out_ptr2, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2637777Z     xnumel = 1
2022-11-23T01:32:32.2637853Z     rnumel = 256
2022-11-23T01:32:32.2637954Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2638095Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2638179Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2638296Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2638451Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2638581Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2638672Z         rindex = roffset + rbase
2022-11-23T01:32:32.2638760Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2638835Z         r0 = rindex
2022-11-23T01:32:32.2639037Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2639156Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.2639279Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2639400Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2639518Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2639626Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2639717Z         rindex = roffset + rbase
2022-11-23T01:32:32.2639804Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2639871Z         r0 = rindex
2022-11-23T01:32:32.2640073Z         tmp2 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2640151Z         tmp3 = 256
2022-11-23T01:32:32.2640236Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.2640350Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.2640432Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.2640559Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.2640674Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:32.2640791Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2640905Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2641029Z     _tmp14 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2641149Z     _tmp15 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2641257Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2641347Z         rindex = roffset + rbase
2022-11-23T01:32:32.2641428Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2641503Z         r0 = rindex
2022-11-23T01:32:32.2641700Z         tmp9 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2641777Z         tmp10 = 256
2022-11-23T01:32:32.2641868Z         tmp11 = tmp8 / tmp10
2022-11-23T01:32:32.2641985Z         tmp12 = tmp9 - tmp11
2022-11-23T01:32:32.2642071Z         tmp13 = tmp12 * tmp12
2022-11-23T01:32:32.2642189Z         _tmp14 = tl.where(xmask & rmask, _tmp14 + tmp13, _tmp14)
2022-11-23T01:32:32.2642314Z         _tmp15 = tl.where(xmask & rmask, _tmp15 + tmp9, _tmp15)
2022-11-23T01:32:32.2642432Z     tmp14 = tl.reshape(tl.sum(_tmp14, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2642548Z     tmp15 = tl.reshape(tl.sum(_tmp15, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2642668Z     _tmp21 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2642774Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2642864Z         rindex = roffset + rbase
2022-11-23T01:32:32.2642944Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2643021Z         r0 = rindex
2022-11-23T01:32:32.2643223Z         tmp16 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2643300Z         tmp17 = 256
2022-11-23T01:32:32.2643389Z         tmp18 = tmp15 / tmp17
2022-11-23T01:32:32.2643508Z         tmp19 = tmp16 - tmp18
2022-11-23T01:32:32.2643592Z         tmp20 = tmp19 * tmp19
2022-11-23T01:32:32.2643709Z         _tmp21 = tl.where(xmask & rmask, _tmp21 + tmp20, _tmp21)
2022-11-23T01:32:32.2643826Z     tmp21 = tl.reshape(tl.sum(_tmp21, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2643902Z     tmp22 = 256
2022-11-23T01:32:32.2643989Z     tmp23 = tmp21 / tmp22
2022-11-23T01:32:32.2644075Z     tmp24 = tl.sqrt(tmp23)
2022-11-23T01:32:32.2644161Z     tmp25 = tmp14 / tmp22
2022-11-23T01:32:32.2644236Z     tmp26 = 255
2022-11-23T01:32:32.2644311Z     tmp27 = tmp7 / tmp26
2022-11-23T01:32:32.2644453Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp24, None)
2022-11-23T01:32:32.2644624Z     tl.store(in_out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp25, None)
2022-11-23T01:32:32.2644783Z     tl.store(in_out_ptr2 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp27, None)
2022-11-23T01:32:32.2644873Z ''')
2022-11-23T01:32:32.2644878Z 
2022-11-23T01:32:32.2644883Z 
2022-11-23T01:32:32.2645050Z triton_fused_var_3_var_21 = async_compile.triton('''
2022-11-23T01:32:32.2645128Z import triton
2022-11-23T01:32:32.2645224Z import triton.language as tl
2022-11-23T01:32:32.2645333Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2645439Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2645573Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2645701Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2645706Z 
2022-11-23T01:32:32.2645799Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.2645918Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2646005Z               filename=__file__,
2022-11-23T01:32:32.2646346Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2646425Z @triton.jit
2022-11-23T01:32:32.2646612Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2646688Z     xnumel = 32
2022-11-23T01:32:32.2646762Z     rnumel = 8
2022-11-23T01:32:32.2646862Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2647003Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2647090Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2647204Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2647277Z     x0 = xindex
2022-11-23T01:32:32.2647396Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2647505Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2647600Z         rindex = roffset + rbase
2022-11-23T01:32:32.2647689Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2647770Z         r1 = rindex
2022-11-23T01:32:32.2647980Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2648104Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.2648219Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2648338Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2648459Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2648567Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2648657Z         rindex = roffset + rbase
2022-11-23T01:32:32.2648738Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2648811Z         r1 = rindex
2022-11-23T01:32:32.2649028Z         tmp2 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2649105Z         tmp3 = 8
2022-11-23T01:32:32.2649191Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.2649305Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.2649388Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.2649504Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.2649624Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:32.2649736Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2649849Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2649966Z     _tmp14 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2650071Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2650159Z         rindex = roffset + rbase
2022-11-23T01:32:32.2650240Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2650313Z         r1 = rindex
2022-11-23T01:32:32.2650525Z         tmp9 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2650602Z         tmp10 = 8
2022-11-23T01:32:32.2650734Z         tmp11 = tmp8 / tmp10
2022-11-23T01:32:32.2650854Z         tmp12 = tmp9 - tmp11
2022-11-23T01:32:32.2650966Z         tmp13 = tmp12 * tmp12
2022-11-23T01:32:32.2651086Z         _tmp14 = tl.where(xmask & rmask, _tmp14 + tmp13, _tmp14)
2022-11-23T01:32:32.2651203Z     tmp14 = tl.reshape(tl.sum(_tmp14, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2651278Z     tmp15 = 8
2022-11-23T01:32:32.2651361Z     tmp16 = tmp14 / tmp15
2022-11-23T01:32:32.2651434Z     tmp17 = 7
2022-11-23T01:32:32.2651519Z     tmp18 = tmp7 / tmp17
2022-11-23T01:32:32.2651664Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp16, xmask)
2022-11-23T01:32:32.2651798Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp18, xmask)
2022-11-23T01:32:32.2651885Z ''')
2022-11-23T01:32:32.2651892Z 
2022-11-23T01:32:32.2651897Z 
2022-11-23T01:32:32.2652090Z triton_fused_std_2_std_12 = async_compile.triton('''
2022-11-23T01:32:32.2652184Z import triton
2022-11-23T01:32:32.2652284Z import triton.language as tl
2022-11-23T01:32:32.2652403Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2652510Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2652647Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2652768Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2652773Z 
2022-11-23T01:32:32.2652865Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.2652988Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.2653074Z               filename=__file__,
2022-11-23T01:32:32.2653421Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2653497Z @triton.jit
2022-11-23T01:32:32.2653684Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2653760Z     xnumel = 32
2022-11-23T01:32:32.2653828Z     rnumel = 8
2022-11-23T01:32:32.2653932Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2654073Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2654159Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2654282Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2654355Z     x0 = xindex
2022-11-23T01:32:32.2654477Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2654576Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2654666Z         rindex = roffset + rbase
2022-11-23T01:32:32.2654753Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2654828Z         r1 = rindex
2022-11-23T01:32:32.2655048Z         tmp0 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2655172Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.2655288Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2655403Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2655526Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2655632Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2655723Z         rindex = roffset + rbase
2022-11-23T01:32:32.2655812Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2655886Z         r1 = rindex
2022-11-23T01:32:32.2656103Z         tmp2 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2656171Z         tmp3 = 8
2022-11-23T01:32:32.2656254Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.2656369Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.2656451Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.2656575Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.2656698Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:32.2656817Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2656951Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2657075Z     _tmp14 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2657205Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2657295Z         rindex = roffset + rbase
2022-11-23T01:32:32.2657382Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2657456Z         r1 = rindex
2022-11-23T01:32:32.2657671Z         tmp9 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2657739Z         tmp10 = 8
2022-11-23T01:32:32.2657824Z         tmp11 = tmp8 / tmp10
2022-11-23T01:32:32.2657943Z         tmp12 = tmp9 - tmp11
2022-11-23T01:32:32.2658028Z         tmp13 = tmp12 * tmp12
2022-11-23T01:32:32.2658153Z         _tmp14 = tl.where(xmask & rmask, _tmp14 + tmp13, _tmp14)
2022-11-23T01:32:32.2658271Z     tmp14 = tl.reshape(tl.sum(_tmp14, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2658344Z     tmp15 = 8
2022-11-23T01:32:32.2658419Z     tmp16 = tmp14 / tmp15
2022-11-23T01:32:32.2658508Z     tmp17 = tl.sqrt(tmp16)
2022-11-23T01:32:32.2658582Z     tmp18 = 7
2022-11-23T01:32:32.2658666Z     tmp19 = tmp7 / tmp18
2022-11-23T01:32:32.2658750Z     tmp20 = tl.sqrt(tmp19)
2022-11-23T01:32:32.2659195Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.2659342Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp20, xmask)
2022-11-23T01:32:32.2659426Z ''')
2022-11-23T01:32:32.2659431Z 
2022-11-23T01:32:32.2659436Z 
2022-11-23T01:32:32.2659597Z triton_fused_std_33 = async_compile.triton('''
2022-11-23T01:32:32.2659675Z import triton
2022-11-23T01:32:32.2659771Z import triton.language as tl
2022-11-23T01:32:32.2659890Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2659995Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2660133Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2660255Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2660267Z 
2022-11-23T01:32:32.2660636Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2660716Z @triton.jit
2022-11-23T01:32:32.2660854Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2660930Z     xnumel = 64
2022-11-23T01:32:32.2661031Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2661168Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2661254Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2661323Z     x0 = xindex % 8
2022-11-23T01:32:32.2661405Z     x1 = (xindex // 8)
2022-11-23T01:32:32.2661478Z     x2 = xindex
2022-11-23T01:32:32.2661588Z     tmp0 = tl.load(in_ptr0 + (x0 + (32*x1)), xmask)
2022-11-23T01:32:32.2661699Z     tmp1 = tl.load(in_ptr0 + (8 + x0 + (32*x1)), xmask)
2022-11-23T01:32:32.2661815Z     tmp3 = tl.load(in_ptr0 + (16 + x0 + (32*x1)), xmask)
2022-11-23T01:32:32.2661930Z     tmp5 = tl.load(in_ptr0 + (24 + x0 + (32*x1)), xmask)
2022-11-23T01:32:32.2662007Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2662087Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.2662167Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.2662239Z     tmp7 = 4
2022-11-23T01:32:32.2662318Z     tmp8 = tmp6 / tmp7
2022-11-23T01:32:32.2662428Z     tmp9 = tmp0 - tmp8
2022-11-23T01:32:32.2662515Z     tmp10 = tmp9 * tmp9
2022-11-23T01:32:32.2662619Z     tmp11 = tmp1 - tmp8
2022-11-23T01:32:32.2662702Z     tmp12 = tmp11 * tmp11
2022-11-23T01:32:32.2662786Z     tmp13 = tmp10 + tmp12
2022-11-23T01:32:32.2662896Z     tmp14 = tmp3 - tmp8
2022-11-23T01:32:32.2662979Z     tmp15 = tmp14 * tmp14
2022-11-23T01:32:32.2663063Z     tmp16 = tmp13 + tmp15
2022-11-23T01:32:32.2663174Z     tmp17 = tmp5 - tmp8
2022-11-23T01:32:32.2663248Z     tmp18 = tmp17 * tmp17
2022-11-23T01:32:32.2663332Z     tmp19 = tmp16 + tmp18
2022-11-23T01:32:32.2663405Z     tmp20 = 3
2022-11-23T01:32:32.2663486Z     tmp21 = tmp19 / tmp20
2022-11-23T01:32:32.2663624Z     tmp22 = tl.sqrt(tmp21)
2022-11-23T01:32:32.2663794Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp22, xmask)
2022-11-23T01:32:32.2663875Z ''')
2022-11-23T01:32:32.2663889Z 
2022-11-23T01:32:32.2663894Z 
2022-11-23T01:32:32.2663982Z async_compile.wait(globals())
2022-11-23T01:32:32.2664061Z del async_compile
2022-11-23T01:32:32.2664066Z 
2022-11-23T01:32:32.2664141Z def call(args):
2022-11-23T01:32:32.2664219Z     arg0_1, = args
2022-11-23T01:32:32.2664297Z     args.clear()
2022-11-23T01:32:32.2664490Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2664676Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2664850Z     buf9 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2664945Z     buf18 = buf9; del buf9  # reuse
2022-11-23T01:32:32.2665036Z     buf15 = buf3; del buf3  # reuse
2022-11-23T01:32:32.2665125Z     buf14 = buf1; del buf1  # reuse
2022-11-23T01:32:32.2665220Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2665389Z     triton_fused_std_var_1_var0.run(buf18, buf15, buf14, arg0_1, 1, 256, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.2665599Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2665793Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2665885Z     buf17 = buf7; del buf7  # reuse
2022-11-23T01:32:32.2665973Z     buf16 = buf5; del buf5  # reuse
2022-11-23T01:32:32.2666123Z     triton_fused_var_3_var_21.run(buf17, buf16, arg0_1, 32, 8, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.2666321Z     buf11 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2666516Z     buf13 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2666611Z     buf20 = buf13; del buf13  # reuse
2022-11-23T01:32:32.2666701Z     buf19 = buf11; del buf11  # reuse
2022-11-23T01:32:32.2666846Z     triton_fused_std_2_std_12.run(buf20, buf19, arg0_1, 32, 8, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.2667062Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2667199Z     triton_fused_std_33.run(arg0_1, buf21, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.2667275Z     del arg0_1
2022-11-23T01:32:32.2667404Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T01:32:32.2667409Z 
2022-11-23T01:32:32.2667414Z 
2022-11-23T01:32:32.2667497Z if __name__ == "__main__":
2022-11-23T01:32:32.2667620Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2667754Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2667960Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2668076Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2668443Z [2022-11-23 01:30:20,950] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b7/cb7n4n3pspko4bgjhl65n4fkvwxqie5dlz7anjsbzncjmzlkkdew.py
2022-11-23T01:32:32.2668714Z [2022-11-23 01:30:20,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 728
2022-11-23T01:32:32.2668957Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2669274Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2669496Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2669751Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2670030Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2670485Z [2022-11-23 01:30:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2670844Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2671164Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2671537Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285> 
2022-11-23T01:32:32.2671642Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2671741Z                2 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2671840Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2671942Z                6 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2672040Z                8 CALL_METHOD              2
2022-11-23T01:32:32.2672046Z 
2022-11-23T01:32:32.2672146Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2672236Z               12 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2672332Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2672432Z               16 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2672527Z               18 CALL_METHOD              2
2022-11-23T01:32:32.2672532Z 
2022-11-23T01:32:32.2672632Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2672728Z               22 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2672823Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2672958Z               26 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2673059Z               28 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2673153Z               30 CALL_METHOD              3
2022-11-23T01:32:32.2673158Z 
2022-11-23T01:32:32.2673260Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2673357Z               34 LOAD_METHOD              1 (var)
2022-11-23T01:32:32.2673452Z               36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2673592Z               38 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2673689Z               40 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2673774Z               42 CALL_METHOD              3
2022-11-23T01:32:32.2673779Z 
2022-11-23T01:32:32.2673876Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2673972Z               46 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2674066Z               48 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2674162Z               50 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2674258Z               52 CALL_METHOD              2
2022-11-23T01:32:32.2674263Z 
2022-11-23T01:32:32.2674361Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2674450Z               56 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2674547Z               58 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2674642Z               60 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2674737Z               62 LOAD_CONST               5 (1)
2022-11-23T01:32:32.2674831Z               64 BUILD_LIST               2
2022-11-23T01:32:32.2674929Z               66 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2675021Z               68 CALL_METHOD              3
2022-11-23T01:32:32.2675026Z 
2022-11-23T01:32:32.2675123Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2675211Z               72 LOAD_METHOD              2 (std)
2022-11-23T01:32:32.2675306Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2675401Z               76 LOAD_CONST               4 (0)
2022-11-23T01:32:32.2675495Z               78 LOAD_CONST               5 (1)
2022-11-23T01:32:32.2675627Z               80 BUILD_LIST               2
2022-11-23T01:32:32.2675726Z               82 LOAD_CONST               2 (False)
2022-11-23T01:32:32.2675839Z               84 CALL_METHOD              3
2022-11-23T01:32:32.2675844Z 
2022-11-23T01:32:32.2675933Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.2676028Z               88 LOAD_ATTR                2 (std)
2022-11-23T01:32:32.2676121Z               90 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2676264Z               92 LOAD_CONST               6 (-2)
2022-11-23T01:32:32.2676364Z               94 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2676461Z               96 LOAD_CONST               1 (True)
2022-11-23T01:32:32.2676620Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T01:32:32.2676718Z              100 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.2676723Z 
2022-11-23T01:32:32.2676810Z 2286         102 BUILD_TUPLE              8
2022-11-23T01:32:32.2676891Z              104 RETURN_VALUE
2022-11-23T01:32:32.2676960Z  
2022-11-23T01:32:32.2676965Z 
2022-11-23T01:32:32.2677284Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287
2022-11-23T01:32:32.2677510Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2677870Z [2022-11-23 01:30:20,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2678184Z [2022-11-23 01:30:20,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2678528Z [2022-11-23 01:30:20,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2678914Z [2022-11-23 01:30:20,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2679228Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288
2022-11-23T01:32:32.2679470Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.2679855Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2680196Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2680578Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2680997Z [2022-11-23 01:30:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2681314Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289
2022-11-23T01:32:32.2681592Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2682013Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2682419Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2682841Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2683285Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2683757Z [2022-11-23 01:30:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2684069Z [2022-11-23 01:30:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290
2022-11-23T01:32:32.2684377Z [2022-11-23 01:30:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2684813Z [2022-11-23 01:30:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2685211Z [2022-11-23 01:30:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2685641Z [2022-11-23 01:30:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2686101Z [2022-11-23 01:30:20,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2686599Z [2022-11-23 01:30:20,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2686910Z [2022-11-23 01:30:20,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291
2022-11-23T01:32:32.2687237Z [2022-11-23 01:30:20,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2687704Z [2022-11-23 01:30:20,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2688121Z [2022-11-23 01:30:20,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2688568Z [2022-11-23 01:30:20,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2689078Z [2022-11-23 01:30:20,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2689413Z [2022-11-23 01:30:20,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292
2022-11-23T01:32:32.2689761Z [2022-11-23 01:30:20,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2690247Z [2022-11-23 01:30:20,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2690689Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2691161Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2691670Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2692208Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2692710Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2693244Z [2022-11-23 01:30:20,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2693557Z [2022-11-23 01:30:20,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293
2022-11-23T01:32:32.2693942Z [2022-11-23 01:30:20,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2694452Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2694920Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2695413Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2695965Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2696557Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2697079Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.2697637Z [2022-11-23 01:30:20,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.2697949Z [2022-11-23 01:30:20,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294
2022-11-23T01:32:32.2698348Z [2022-11-23 01:30:20,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2699005Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2699504Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2700035Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2700594Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2701192Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.2701836Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:32.2702554Z [2022-11-23 01:30:20,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.2702893Z [2022-11-23 01:30:20,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286
2022-11-23T01:32:32.2703317Z [2022-11-23 01:30:20,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2703569Z [2022-11-23 01:30:20,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2703951Z [2022-11-23 01:30:20,973] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285>
2022-11-23T01:32:32.2704199Z [2022-11-23 01:30:20,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2704437Z [2022-11-23 01:30:20,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2704693Z [2022-11-23 01:30:20,974] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2704945Z [2022-11-23 01:30:20,986] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2705132Z [2022-11-23 01:30:20,986] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2705276Z  __compiled_fn_747 <eval_with_key>.4602 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2705372Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2705609Z call_function, var, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, True), {}
2022-11-23T01:32:32.2705845Z call_function, var_1, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:32.2706094Z call_function, var_2, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, True), {}
2022-11-23T01:32:32.2706334Z call_function, var_3, <built-in method var of type object at 0x7f209c394c60>, (ex_0_, -1, False), {}
2022-11-23T01:32:32.2706561Z call_function, std, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, False), {}
2022-11-23T01:32:32.2706790Z call_function, std_1, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], True), {}
2022-11-23T01:32:32.2707027Z call_function, std_2, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, [0, 1], False), {}
2022-11-23T01:32:32.2707281Z call_function, std_3, <built-in method std of type object at 0x7f209c394c60>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T01:32:32.2707427Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T01:32:32.2707433Z 
2022-11-23T01:32:32.2707760Z [2022-11-23 01:30:20,987] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2707864Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2707962Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2708057Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2708157Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2708242Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2708336Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2708419Z              12 RETURN_VALUE
2022-11-23T01:32:32.2708424Z 
2022-11-23T01:32:32.2708491Z  
2022-11-23T01:32:32.2708810Z [2022-11-23 01:30:20,987] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2708932Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_747)
2022-11-23T01:32:32.2709029Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2709156Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2709252Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2709346Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2709457Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2709569Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2709665Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2709747Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2709856Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2709944Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2710025Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2710133Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2710228Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2710391Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2710511Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2710607Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2710683Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2710792Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2710887Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.2710972Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.2711083Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2711177Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.2711259Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.2711359Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2711454Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.2711534Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.2711644Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2711739Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.2711821Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.2711917Z              60 BUILD_TUPLE              8
2022-11-23T01:32:32.2711993Z              62 RETURN_VALUE
2022-11-23T01:32:32.2711998Z 
2022-11-23T01:32:32.2712064Z  
2022-11-23T01:32:32.2712257Z [2022-11-23 01:30:20,988] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2712335Z  - 
2022-11-23T01:32:32.2712461Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2712533Z             {
2022-11-23T01:32:32.2712703Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2712912Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.2713036Z                 'obj_weakref': None
2022-11-23T01:32:32.2713264Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2713335Z             }
2022-11-23T01:32:32.2713404Z             
2022-11-23T01:32:32.2713481Z  - 
2022-11-23T01:32:32.2713609Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2713674Z             {
2022-11-23T01:32:32.2713821Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2713936Z                 'code': None,
2022-11-23T01:32:32.2714152Z                 'obj_weakref': <weakref at 0x7f2022f32c50; to 'Tensor' at 0x7f1fe0335030>
2022-11-23T01:32:32.2714403Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2714473Z             }
2022-11-23T01:32:32.2714542Z             
2022-11-23T01:32:32.2714611Z  - 
2022-11-23T01:32:32.2714747Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2714816Z             {
2022-11-23T01:32:32.2714959Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2715132Z                 'code': ['___check_obj_id(model, 139780075794304)'],
2022-11-23T01:32:32.2715257Z                 'obj_weakref': None
2022-11-23T01:32:32.2715491Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2715597Z             }
2022-11-23T01:32:32.2715686Z             
2022-11-23T01:32:32.2715763Z  - 
2022-11-23T01:32:32.2715891Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2715960Z             {
2022-11-23T01:32:32.2716103Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2716329Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2716445Z                 'obj_weakref': None
2022-11-23T01:32:32.2716672Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2716744Z             }
2022-11-23T01:32:32.2716811Z             
2022-11-23T01:32:32.2716890Z  - 
2022-11-23T01:32:32.2717030Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2717099Z             {
2022-11-23T01:32:32.2717218Z                 'guard_types': None,
2022-11-23T01:32:32.2717331Z                 'code': None,
2022-11-23T01:32:32.2717458Z                 'obj_weakref': None
2022-11-23T01:32:32.2717586Z                 'guarded_class': None
2022-11-23T01:32:32.2717658Z             }
2022-11-23T01:32:32.2717726Z             
2022-11-23T01:32:32.2717990Z [2022-11-23 01:30:21,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 729
2022-11-23T01:32:32.2719431Z [2022-11-23 01:30:21,089] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), SchedulerNode(name='buf8'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf9'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf18'), SchedulerNode(name='buf15'), SchedulerNode(name='buf14'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2719653Z [2022-11-23 01:30:21,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8')
2022-11-23T01:32:32.2719859Z [2022-11-23 01:30:21,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:32.2720056Z [2022-11-23 01:30:21,093] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.2721154Z [2022-11-23 01:30:21,094] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf17'), SchedulerNode(name='buf16'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2721363Z [2022-11-23 01:30:21,098] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:32.2721567Z [2022-11-23 01:30:21,098] torch._inductor.scheduler: [DEBUG] remove_buffer('buf6')
2022-11-23T01:32:32.2722706Z [2022-11-23 01:30:21,099] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf10'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf11'), SchedulerNode(name='buf12'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf13'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf20'), SchedulerNode(name='buf19'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.2722920Z [2022-11-23 01:30:21,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf12')
2022-11-23T01:32:32.2723166Z [2022-11-23 01:30:21,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf10')
2022-11-23T01:32:32.2723443Z [2022-11-23 01:30:21,103] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf21')]
2022-11-23T01:32:32.2723449Z 
2022-11-23T01:32:32.2723454Z 
2022-11-23T01:32:32.2723556Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2723632Z import torch
2022-11-23T01:32:32.2723707Z import random
2022-11-23T01:32:32.2723832Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2723952Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2723966Z 
2022-11-23T01:32:32.2724043Z aten = torch.ops.aten
2022-11-23T01:32:32.2724183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2724281Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2724287Z 
2022-11-23T01:32:32.2724363Z import triton
2022-11-23T01:32:32.2724457Z import triton.language as tl
2022-11-23T01:32:32.2724587Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2724734Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2724739Z 
2022-11-23T01:32:32.2724744Z 
2022-11-23T01:32:32.2724907Z triton_fused_var_1_std_var0 = async_compile.triton('''
2022-11-23T01:32:32.2724986Z import triton
2022-11-23T01:32:32.2725080Z import triton.language as tl
2022-11-23T01:32:32.2725194Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2725298Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2725432Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2725560Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2725565Z 
2022-11-23T01:32:32.2725657Z @reduction(size_hints=[1, 256],
2022-11-23T01:32:32.2725767Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2725855Z               filename=__file__,
2022-11-23T01:32:32.2726223Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 5), equal_to_1=())]})
2022-11-23T01:32:32.2726302Z @triton.jit
2022-11-23T01:32:32.2726502Z def kernel(in_out_ptr0, in_out_ptr1, in_out_ptr2, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2726578Z     xnumel = 1
2022-11-23T01:32:32.2726655Z     rnumel = 256
2022-11-23T01:32:32.2726748Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2726887Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2726974Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2727096Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2727217Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2727326Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2727416Z         rindex = roffset + rbase
2022-11-23T01:32:32.2727503Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2727571Z         r0 = rindex
2022-11-23T01:32:32.2727798Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2727892Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.2728017Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.2728134Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2728254Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2728375Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2728475Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2728565Z         rindex = roffset + rbase
2022-11-23T01:32:32.2728652Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2728727Z         r0 = rindex
2022-11-23T01:32:32.2728951Z         tmp3 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2729026Z         tmp4 = 256
2022-11-23T01:32:32.2729138Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.2729224Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.2729366Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.2729449Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.2729574Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.2729665Z         tmp10 = tmp3.to(tl.float32)
2022-11-23T01:32:32.2729789Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.2729906Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2730015Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2730134Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2730255Z     _tmp20 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2730364Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2730453Z         rindex = roffset + rbase
2022-11-23T01:32:32.2730539Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2730610Z         r0 = rindex
2022-11-23T01:32:32.2730828Z         tmp12 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2730906Z         tmp13 = 256
2022-11-23T01:32:32.2730990Z         tmp14 = tmp11 / tmp13
2022-11-23T01:32:32.2731083Z         tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:32.2731202Z         tmp16 = tmp12 - tmp15
2022-11-23T01:32:32.2731286Z         tmp17 = tmp16 * tmp16
2022-11-23T01:32:32.2731410Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp17, _tmp18)
2022-11-23T01:32:32.2731495Z         tmp19 = tmp12.to(tl.float32)
2022-11-23T01:32:32.2731617Z         _tmp20 = tl.where(xmask & rmask, _tmp20 + tmp19, _tmp20)
2022-11-23T01:32:32.2731737Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2731852Z     tmp20 = tl.reshape(tl.sum(_tmp20, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2731971Z     _tmp27 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2732078Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2732171Z         rindex = roffset + rbase
2022-11-23T01:32:32.2732253Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2732328Z         r0 = rindex
2022-11-23T01:32:32.2732549Z         tmp21 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2732624Z         tmp22 = 256
2022-11-23T01:32:32.2732707Z         tmp23 = tmp20 / tmp22
2022-11-23T01:32:32.2732799Z         tmp24 = tmp23.to(tl.float32)
2022-11-23T01:32:32.2732917Z         tmp25 = tmp21 - tmp24
2022-11-23T01:32:32.2732993Z         tmp26 = tmp25 * tmp25
2022-11-23T01:32:32.2733117Z         _tmp27 = tl.where(xmask & rmask, _tmp27 + tmp26, _tmp27)
2022-11-23T01:32:32.2733232Z     tmp27 = tl.reshape(tl.sum(_tmp27, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2733307Z     tmp28 = 256
2022-11-23T01:32:32.2733389Z     tmp29 = tmp27 / tmp28
2022-11-23T01:32:32.2733474Z     tmp30 = tl.sqrt(tmp29)
2022-11-23T01:32:32.2733555Z     tmp31 = tmp18 / tmp28
2022-11-23T01:32:32.2733622Z     tmp32 = 255
2022-11-23T01:32:32.2733709Z     tmp33 = tmp9 / tmp32
2022-11-23T01:32:32.2733851Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp30, None)
2022-11-23T01:32:32.2733994Z     tl.store(in_out_ptr1 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp31, None)
2022-11-23T01:32:32.2734132Z     tl.store(in_out_ptr2 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp33, None)
2022-11-23T01:32:32.2734220Z ''')
2022-11-23T01:32:32.2734226Z 
2022-11-23T01:32:32.2734230Z 
2022-11-23T01:32:32.2734397Z triton_fused_var_2_var_31 = async_compile.triton('''
2022-11-23T01:32:32.2734472Z import triton
2022-11-23T01:32:32.2734559Z import triton.language as tl
2022-11-23T01:32:32.2734676Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2734782Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2734920Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2735047Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2735052Z 
2022-11-23T01:32:32.2735144Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.2735291Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2735393Z               filename=__file__,
2022-11-23T01:32:32.2735742Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2735817Z @triton.jit
2022-11-23T01:32:32.2736003Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2736080Z     xnumel = 32
2022-11-23T01:32:32.2736154Z     rnumel = 8
2022-11-23T01:32:32.2736254Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2736393Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2736471Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2736594Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2736666Z     x0 = xindex
2022-11-23T01:32:32.2736791Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2736902Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2736992Z         rindex = roffset + rbase
2022-11-23T01:32:32.2737079Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2737144Z         r1 = rindex
2022-11-23T01:32:32.2737386Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2737481Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.2737604Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.2737720Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2737839Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2737956Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2738057Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2738146Z         rindex = roffset + rbase
2022-11-23T01:32:32.2738235Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2738307Z         r1 = rindex
2022-11-23T01:32:32.2738551Z         tmp3 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2738625Z         tmp4 = 8
2022-11-23T01:32:32.2738711Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.2738980Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.2739099Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.2739181Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.2739306Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.2739398Z         tmp10 = tmp3.to(tl.float32)
2022-11-23T01:32:32.2739522Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.2739639Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2739748Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2739868Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2739978Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2740070Z         rindex = roffset + rbase
2022-11-23T01:32:32.2740160Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2740237Z         r1 = rindex
2022-11-23T01:32:32.2740475Z         tmp12 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2740543Z         tmp13 = 8
2022-11-23T01:32:32.2740627Z         tmp14 = tmp11 / tmp13
2022-11-23T01:32:32.2740718Z         tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:32.2740836Z         tmp16 = tmp12 - tmp15
2022-11-23T01:32:32.2740920Z         tmp17 = tmp16 * tmp16
2022-11-23T01:32:32.2741041Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp17, _tmp18)
2022-11-23T01:32:32.2741156Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2741222Z     tmp19 = 8
2022-11-23T01:32:32.2741307Z     tmp20 = tmp18 / tmp19
2022-11-23T01:32:32.2741378Z     tmp21 = 7
2022-11-23T01:32:32.2741460Z     tmp22 = tmp9 / tmp21
2022-11-23T01:32:32.2741649Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp20, xmask)
2022-11-23T01:32:32.2741819Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp22, xmask)
2022-11-23T01:32:32.2741907Z ''')
2022-11-23T01:32:32.2741913Z 
2022-11-23T01:32:32.2741917Z 
2022-11-23T01:32:32.2742085Z triton_fused_std_2_std_12 = async_compile.triton('''
2022-11-23T01:32:32.2742153Z import triton
2022-11-23T01:32:32.2742248Z import triton.language as tl
2022-11-23T01:32:32.2742365Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2742485Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2742636Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2742782Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2742787Z 
2022-11-23T01:32:32.2742879Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.2742993Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.2743080Z               filename=__file__,
2022-11-23T01:32:32.2743426Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2743503Z @triton.jit
2022-11-23T01:32:32.2743687Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2743761Z     xnumel = 32
2022-11-23T01:32:32.2743834Z     rnumel = 8
2022-11-23T01:32:32.2743933Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2744063Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2744152Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2744271Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2744344Z     x0 = xindex
2022-11-23T01:32:32.2744464Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2744574Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2744667Z         rindex = roffset + rbase
2022-11-23T01:32:32.2744749Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2744823Z         r1 = rindex
2022-11-23T01:32:32.2745060Z         tmp0 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2745154Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.2745280Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.2745394Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2745512Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2745623Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2745732Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2745821Z         rindex = roffset + rbase
2022-11-23T01:32:32.2745909Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2745982Z         r1 = rindex
2022-11-23T01:32:32.2746225Z         tmp3 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2746302Z         tmp4 = 8
2022-11-23T01:32:32.2746378Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.2746471Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.2746586Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.2746667Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.2746790Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.2746881Z         tmp10 = tmp3.to(tl.float32)
2022-11-23T01:32:32.2747004Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.2747111Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2747229Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2747347Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2747452Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2747543Z         rindex = roffset + rbase
2022-11-23T01:32:32.2747658Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2747732Z         r1 = rindex
2022-11-23T01:32:32.2748003Z         tmp12 = tl.load(in_ptr0 + (x0 + (32*r1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2748079Z         tmp13 = 8
2022-11-23T01:32:32.2748164Z         tmp14 = tmp11 / tmp13
2022-11-23T01:32:32.2748255Z         tmp15 = tmp14.to(tl.float32)
2022-11-23T01:32:32.2748373Z         tmp16 = tmp12 - tmp15
2022-11-23T01:32:32.2748456Z         tmp17 = tmp16 * tmp16
2022-11-23T01:32:32.2748576Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp17, _tmp18)
2022-11-23T01:32:32.2748684Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2748757Z     tmp19 = 8
2022-11-23T01:32:32.2748839Z     tmp20 = tmp18 / tmp19
2022-11-23T01:32:32.2748922Z     tmp21 = tl.sqrt(tmp20)
2022-11-23T01:32:32.2748995Z     tmp22 = 7
2022-11-23T01:32:32.2749079Z     tmp23 = tmp9 / tmp22
2022-11-23T01:32:32.2749165Z     tmp24 = tl.sqrt(tmp23)
2022-11-23T01:32:32.2749303Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp21, xmask)
2022-11-23T01:32:32.2749446Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp24, xmask)
2022-11-23T01:32:32.2749533Z ''')
2022-11-23T01:32:32.2749538Z 
2022-11-23T01:32:32.2749543Z 
2022-11-23T01:32:32.2749702Z triton_fused_std_33 = async_compile.triton('''
2022-11-23T01:32:32.2749779Z import triton
2022-11-23T01:32:32.2749875Z import triton.language as tl
2022-11-23T01:32:32.2749991Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2750096Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2750225Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2750463Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2750469Z 
2022-11-23T01:32:32.2750844Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2750921Z @triton.jit
2022-11-23T01:32:32.2751062Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2751137Z     xnumel = 64
2022-11-23T01:32:32.2751237Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2751370Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2751448Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2751525Z     x0 = xindex % 8
2022-11-23T01:32:32.2751609Z     x1 = (xindex // 8)
2022-11-23T01:32:32.2751681Z     x2 = xindex
2022-11-23T01:32:32.2751807Z     tmp0 = tl.load(in_ptr0 + (x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2751940Z     tmp2 = tl.load(in_ptr0 + (8 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2752068Z     tmp5 = tl.load(in_ptr0 + (16 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2752187Z     tmp8 = tl.load(in_ptr0 + (24 + x0 + (32*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.2752275Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.2752366Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:32.2752450Z     tmp4 = tmp1 + tmp3
2022-11-23T01:32:32.2752536Z     tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.2752615Z     tmp7 = tmp4 + tmp6
2022-11-23T01:32:32.2752702Z     tmp9 = tmp8.to(tl.float32)
2022-11-23T01:32:32.2752775Z     tmp10 = tmp7 + tmp9
2022-11-23T01:32:32.2752847Z     tmp11 = 4
2022-11-23T01:32:32.2752934Z     tmp12 = tmp10 / tmp11
2022-11-23T01:32:32.2753024Z     tmp13 = tmp12.to(tl.float32)
2022-11-23T01:32:32.2753140Z     tmp14 = tmp0 - tmp13
2022-11-23T01:32:32.2753221Z     tmp15 = tmp14 * tmp14
2022-11-23T01:32:32.2753327Z     tmp16 = tmp2 - tmp13
2022-11-23T01:32:32.2753407Z     tmp17 = tmp16 * tmp16
2022-11-23T01:32:32.2753487Z     tmp18 = tmp15 + tmp17
2022-11-23T01:32:32.2753600Z     tmp19 = tmp5 - tmp13
2022-11-23T01:32:32.2753679Z     tmp20 = tmp19 * tmp19
2022-11-23T01:32:32.2753759Z     tmp21 = tmp18 + tmp20
2022-11-23T01:32:32.2753871Z     tmp22 = tmp8 - tmp13
2022-11-23T01:32:32.2753944Z     tmp23 = tmp22 * tmp22
2022-11-23T01:32:32.2754060Z     tmp24 = tmp21 + tmp23
2022-11-23T01:32:32.2754153Z     tmp25 = 3
2022-11-23T01:32:32.2754233Z     tmp26 = tmp24 / tmp25
2022-11-23T01:32:32.2754316Z     tmp27 = tl.sqrt(tmp26)
2022-11-23T01:32:32.2754456Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp27, xmask)
2022-11-23T01:32:32.2754543Z ''')
2022-11-23T01:32:32.2754549Z 
2022-11-23T01:32:32.2754553Z 
2022-11-23T01:32:32.2754641Z async_compile.wait(globals())
2022-11-23T01:32:32.2754719Z del async_compile
2022-11-23T01:32:32.2754724Z 
2022-11-23T01:32:32.2754799Z def call(args):
2022-11-23T01:32:32.2754873Z     arg0_1, = args
2022-11-23T01:32:32.2754951Z     args.clear()
2022-11-23T01:32:32.2755142Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2755326Z     buf3 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2755498Z     buf9 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2755595Z     buf18 = buf9; del buf9  # reuse
2022-11-23T01:32:32.2755685Z     buf15 = buf3; del buf3  # reuse
2022-11-23T01:32:32.2755775Z     buf14 = buf1; del buf1  # reuse
2022-11-23T01:32:32.2755866Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2756029Z     triton_fused_var_1_std_var0.run(buf18, buf15, buf14, arg0_1, 1, 256, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.2756236Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2756435Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2756516Z     buf17 = buf7; del buf7  # reuse
2022-11-23T01:32:32.2756605Z     buf16 = buf5; del buf5  # reuse
2022-11-23T01:32:32.2756757Z     triton_fused_var_2_var_31.run(buf17, buf16, arg0_1, 32, 8, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.2756957Z     buf11 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2757153Z     buf13 = empty_strided((4, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2757248Z     buf20 = buf13; del buf13  # reuse
2022-11-23T01:32:32.2757341Z     buf19 = buf11; del buf11  # reuse
2022-11-23T01:32:32.2757484Z     triton_fused_std_2_std_12.run(buf20, buf19, arg0_1, 32, 8, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.2757698Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2757837Z     triton_fused_std_33.run(arg0_1, buf21, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.2757911Z     del arg0_1
2022-11-23T01:32:32.2758038Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T01:32:32.2758044Z 
2022-11-23T01:32:32.2758049Z 
2022-11-23T01:32:32.2758132Z if __name__ == "__main__":
2022-11-23T01:32:32.2758254Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2758384Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2758600Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2758708Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.2759082Z [2022-11-23 01:30:21,271] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dj/cdjiwx6msjgs25n5pf5dfsagotxpaitlpnzdw5oitrqu2ra4meh6.py
2022-11-23T01:32:32.2759350Z [2022-11-23 01:30:21,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 729
2022-11-23T01:32:32.2759356Z 
2022-11-23T01:32:32.2759428Z ok (0.783s)
2022-11-23T01:32:32.2759948Z   test_strided_inputs_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.2760031Z   warnings.warn(
2022-11-23T01:32:32.2760269Z [2022-11-23 01:30:21,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.2760613Z [2022-11-23 01:30:21,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3204
2022-11-23T01:32:32.2760849Z [2022-11-23 01:30:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.2761083Z [2022-11-23 01:30:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.2761356Z [2022-11-23 01:30:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2761605Z [2022-11-23 01:30:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.2761839Z [2022-11-23 01:30:21,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.2762083Z [2022-11-23 01:30:21,279] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.2762326Z [2022-11-23 01:30:21,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.2762521Z [2022-11-23 01:30:21,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2762662Z  __compiled_fn_748 <eval_with_key>.4608 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2762751Z placeholder, x, x, (), {}
2022-11-23T01:32:32.2762831Z placeholder, y, y, (), {}
2022-11-23T01:32:32.2763003Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.2763106Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.2763111Z 
2022-11-23T01:32:32.2763436Z [2022-11-23 01:30:21,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:32.2763536Z 3204           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2763634Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.2763715Z                4 BINARY_ADD
2022-11-23T01:32:32.2763790Z                6 RETURN_VALUE
2022-11-23T01:32:32.2763805Z 
2022-11-23T01:32:32.2763864Z  
2022-11-23T01:32:32.2764192Z [2022-11-23 01:30:21,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:32.2764310Z 3202           0 LOAD_GLOBAL              0 (__compiled_fn_748)
2022-11-23T01:32:32.2764406Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.2764504Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.2764601Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.2764701Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.2764775Z               10 RETURN_VALUE
2022-11-23T01:32:32.2764780Z 
2022-11-23T01:32:32.2764849Z  
2022-11-23T01:32:32.2765037Z [2022-11-23 01:30:21,283] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2765114Z  - 
2022-11-23T01:32:32.2765239Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.2765309Z             {
2022-11-23T01:32:32.2765461Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2765568Z                 'code': None,
2022-11-23T01:32:32.2765783Z                 'obj_weakref': <weakref at 0x7f1ffad75440; to 'Tensor' at 0x7f20682079c0>
2022-11-23T01:32:32.2766040Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2766113Z             }
2022-11-23T01:32:32.2766182Z             
2022-11-23T01:32:32.2766258Z  - 
2022-11-23T01:32:32.2766384Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.2766446Z             {
2022-11-23T01:32:32.2766597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2766709Z                 'code': None,
2022-11-23T01:32:32.2766918Z                 'obj_weakref': <weakref at 0x7f1ffad77ce0; to 'Tensor' at 0x7f206819dee0>
2022-11-23T01:32:32.2767164Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2767235Z             }
2022-11-23T01:32:32.2767345Z             
2022-11-23T01:32:32.2767633Z [2022-11-23 01:30:21,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 730
2022-11-23T01:32:32.2767878Z [2022-11-23 01:30:21,292] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2768238Z [2022-11-23 01:30:21,355] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mf/cmfi7f5zh67lqnu4p5usnenm4u763zsnsgtc6pzmctdxg2s2a7tr.py
2022-11-23T01:32:32.2768504Z [2022-11-23 01:30:21,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 730
2022-11-23T01:32:32.2768510Z 
2022-11-23T01:32:32.2768613Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2768688Z import torch
2022-11-23T01:32:32.2768763Z import random
2022-11-23T01:32:32.2768886Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2769014Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2769019Z 
2022-11-23T01:32:32.2769099Z aten = torch.ops.aten
2022-11-23T01:32:32.2769243Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2769342Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2769347Z 
2022-11-23T01:32:32.2769424Z import triton
2022-11-23T01:32:32.2769519Z import triton.language as tl
2022-11-23T01:32:32.2769647Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2769792Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2769797Z 
2022-11-23T01:32:32.2769802Z 
2022-11-23T01:32:32.2769959Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.2770027Z import triton
2022-11-23T01:32:32.2770120Z import triton.language as tl
2022-11-23T01:32:32.2770236Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2770339Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2770477Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2770607Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2770612Z 
2022-11-23T01:32:32.2771017Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2771093Z @triton.jit
2022-11-23T01:32:32.2771232Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2771309Z     xnumel = 128
2022-11-23T01:32:32.2771408Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2771540Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2771625Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2771698Z     x0 = xindex
2022-11-23T01:32:32.2771803Z     tmp0 = tl.load(in_ptr0 + (2*x0), xmask)
2022-11-23T01:32:32.2771896Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.2771976Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2772118Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.2772208Z ''')
2022-11-23T01:32:32.2772213Z 
2022-11-23T01:32:32.2772218Z 
2022-11-23T01:32:32.2772312Z async_compile.wait(globals())
2022-11-23T01:32:32.2772391Z del async_compile
2022-11-23T01:32:32.2772396Z 
2022-11-23T01:32:32.2772471Z def call(args):
2022-11-23T01:32:32.2772545Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2772621Z     args.clear()
2022-11-23T01:32:32.2772829Z     buf0 = empty_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2772920Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2773068Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 128, grid=grid(128), stream=stream0)
2022-11-23T01:32:32.2773144Z     del arg0_1
2022-11-23T01:32:32.2773220Z     del arg1_1
2022-11-23T01:32:32.2773290Z     return (buf0, )
2022-11-23T01:32:32.2773303Z 
2022-11-23T01:32:32.2773307Z 
2022-11-23T01:32:32.2773381Z if __name__ == "__main__":
2022-11-23T01:32:32.2773539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2773672Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2773899Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2774104Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2774226Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2774232Z 
2022-11-23T01:32:32.2774304Z ok (0.232s)
2022-11-23T01:32:32.2774612Z   test_sum1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2774928Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2775153Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2775414Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2775700Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2776024Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2776371Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2776698Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2777074Z [2022-11-23 01:30:21,509] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725> 
2022-11-23T01:32:32.2777174Z  726           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2777276Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2777348Z               4 BINARY_ADD
2022-11-23T01:32:32.2777453Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2777595Z               8 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.2777689Z              10 CALL_METHOD              1
2022-11-23T01:32:32.2777784Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.2777868Z              14 RETURN_VALUE
2022-11-23T01:32:32.2777934Z  
2022-11-23T01:32:32.2777940Z 
2022-11-23T01:32:32.2778250Z [2022-11-23 01:30:21,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726
2022-11-23T01:32:32.2778466Z [2022-11-23 01:30:21,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2778714Z [2022-11-23 01:30:21,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2779180Z [2022-11-23 01:30:21,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2779427Z [2022-11-23 01:30:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2779704Z [2022-11-23 01:30:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2780017Z [2022-11-23 01:30:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2780265Z [2022-11-23 01:30:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.2780514Z [2022-11-23 01:30:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2780942Z [2022-11-23 01:30:21,512] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725>
2022-11-23T01:32:32.2781211Z [2022-11-23 01:30:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2781450Z [2022-11-23 01:30:21,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2781710Z [2022-11-23 01:30:21,513] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2781969Z [2022-11-23 01:30:21,515] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2782163Z [2022-11-23 01:30:21,516] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2782306Z  __compiled_fn_749 <eval_with_key>.4614 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2782402Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2782495Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2782674Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2782815Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.2782918Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:32.2782923Z 
2022-11-23T01:32:32.2783256Z [2022-11-23 01:30:21,516] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2783355Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2783453Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2783548Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2783648Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2783733Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2783828Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2783910Z              12 RETURN_VALUE
2022-11-23T01:32:32.2783915Z 
2022-11-23T01:32:32.2783980Z  
2022-11-23T01:32:32.2784307Z [2022-11-23 01:30:21,516] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2784428Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_749)
2022-11-23T01:32:32.2784529Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2784626Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2784701Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2784796Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2784891Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2784973Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2785067Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2785179Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2785288Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2785377Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2785461Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2785555Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.2785642Z              26 RETURN_VALUE
2022-11-23T01:32:32.2785648Z 
2022-11-23T01:32:32.2785714Z  
2022-11-23T01:32:32.2785903Z [2022-11-23 01:30:21,517] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2785979Z  - 
2022-11-23T01:32:32.2786098Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2786170Z             {
2022-11-23T01:32:32.2786316Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2786514Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2786641Z                 'obj_weakref': None
2022-11-23T01:32:32.2786873Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2786946Z             }
2022-11-23T01:32:32.2787007Z             
2022-11-23T01:32:32.2787084Z  - 
2022-11-23T01:32:32.2787216Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2787319Z             {
2022-11-23T01:32:32.2787490Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2787604Z                 'code': None,
2022-11-23T01:32:32.2787820Z                 'obj_weakref': <weakref at 0x7f1fd97e76f0; to 'Tensor' at 0x7f2068082570>
2022-11-23T01:32:32.2788065Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2788136Z             }
2022-11-23T01:32:32.2788206Z             
2022-11-23T01:32:32.2788282Z  - 
2022-11-23T01:32:32.2788411Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2788480Z             {
2022-11-23T01:32:32.2788628Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2788734Z                 'code': None,
2022-11-23T01:32:32.2788951Z                 'obj_weakref': <weakref at 0x7f1fd97e7dd0; to 'Tensor' at 0x7f1fd9a8e930>
2022-11-23T01:32:32.2789208Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2789282Z             }
2022-11-23T01:32:32.2789351Z             
2022-11-23T01:32:32.2789428Z  - 
2022-11-23T01:32:32.2789564Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2789626Z             {
2022-11-23T01:32:32.2789767Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2789945Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:32.2790071Z                 'obj_weakref': None
2022-11-23T01:32:32.2790393Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2790478Z             }
2022-11-23T01:32:32.2790560Z             
2022-11-23T01:32:32.2790643Z  - 
2022-11-23T01:32:32.2790793Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2790874Z             {
2022-11-23T01:32:32.2791017Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2791241Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2791369Z                 'obj_weakref': None
2022-11-23T01:32:32.2791596Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2791658Z             }
2022-11-23T01:32:32.2791727Z             
2022-11-23T01:32:32.2791996Z [2022-11-23 01:30:21,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 731
2022-11-23T01:32:32.2792248Z [2022-11-23 01:30:21,525] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2792619Z [2022-11-23 01:30:21,603] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/cangy37wkedxvtu26goldpntqjehemwvregzuucerhueq6psj5oq.py
2022-11-23T01:32:32.2792886Z [2022-11-23 01:30:21,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 731
2022-11-23T01:32:32.2793125Z [2022-11-23 01:30:21,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2793443Z [2022-11-23 01:30:21,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2793661Z [2022-11-23 01:30:21,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2793907Z [2022-11-23 01:30:21,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2794189Z [2022-11-23 01:30:21,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2794507Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2794847Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2795198Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2795587Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725> 
2022-11-23T01:32:32.2795687Z  726           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2795786Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2795866Z               4 BINARY_ADD
2022-11-23T01:32:32.2795959Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2796103Z               8 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.2796197Z              10 CALL_METHOD              1
2022-11-23T01:32:32.2796290Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.2796371Z              14 RETURN_VALUE
2022-11-23T01:32:32.2796438Z  
2022-11-23T01:32:32.2796443Z 
2022-11-23T01:32:32.2796762Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726
2022-11-23T01:32:32.2796981Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2797218Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2797495Z [2022-11-23 01:30:21,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2797741Z [2022-11-23 01:30:21,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2798020Z [2022-11-23 01:30:21,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2798337Z [2022-11-23 01:30:21,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2798582Z [2022-11-23 01:30:21,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.2798833Z [2022-11-23 01:30:21,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2799209Z [2022-11-23 01:30:21,609] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725>
2022-11-23T01:32:32.2799456Z [2022-11-23 01:30:21,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2799694Z [2022-11-23 01:30:21,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2799944Z [2022-11-23 01:30:21,610] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2800201Z [2022-11-23 01:30:21,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2800398Z [2022-11-23 01:30:21,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2800540Z  __compiled_fn_750 <eval_with_key>.4620 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2800636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2800730Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2800913Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2801052Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.2801146Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:32.2801151Z 
2022-11-23T01:32:32.2801481Z [2022-11-23 01:30:21,614] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2801583Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2801682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2801803Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2801906Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2802029Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2802133Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2802231Z              12 RETURN_VALUE
2022-11-23T01:32:32.2802237Z 
2022-11-23T01:32:32.2802316Z  
2022-11-23T01:32:32.2802638Z [2022-11-23 01:30:21,614] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2802757Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_750)
2022-11-23T01:32:32.2802854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2802952Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2803034Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2803122Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2803217Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2803301Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2803399Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2803511Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2803622Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2803717Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2803791Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2803883Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.2803963Z              26 RETURN_VALUE
2022-11-23T01:32:32.2803969Z 
2022-11-23T01:32:32.2804036Z  
2022-11-23T01:32:32.2804223Z [2022-11-23 01:30:21,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2804300Z  - 
2022-11-23T01:32:32.2804423Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2804486Z             {
2022-11-23T01:32:32.2804632Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2804824Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2804947Z                 'obj_weakref': None
2022-11-23T01:32:32.2805176Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2805248Z             }
2022-11-23T01:32:32.2805316Z             
2022-11-23T01:32:32.2805385Z  - 
2022-11-23T01:32:32.2805516Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2805585Z             {
2022-11-23T01:32:32.2805733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2805846Z                 'code': None,
2022-11-23T01:32:32.2806063Z                 'obj_weakref': <weakref at 0x7f1fe80fbf60; to 'Tensor' at 0x7f21279db560>
2022-11-23T01:32:32.2806312Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2806383Z             }
2022-11-23T01:32:32.2806445Z             
2022-11-23T01:32:32.2806521Z  - 
2022-11-23T01:32:32.2806651Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2806719Z             {
2022-11-23T01:32:32.2806869Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2806982Z                 'code': None,
2022-11-23T01:32:32.2807187Z                 'obj_weakref': <weakref at 0x7f1fd9be3830; to 'Tensor' at 0x7f2115c42660>
2022-11-23T01:32:32.2807437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2807506Z             }
2022-11-23T01:32:32.2807575Z             
2022-11-23T01:32:32.2807652Z  - 
2022-11-23T01:32:32.2807789Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2807858Z             {
2022-11-23T01:32:32.2807992Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2808169Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:32.2808295Z                 'obj_weakref': None
2022-11-23T01:32:32.2808560Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2808631Z             }
2022-11-23T01:32:32.2808723Z             
2022-11-23T01:32:32.2808799Z  - 
2022-11-23T01:32:32.2808920Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2808992Z             {
2022-11-23T01:32:32.2809134Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2809357Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2809481Z                 'obj_weakref': None
2022-11-23T01:32:32.2809706Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2809776Z             }
2022-11-23T01:32:32.2809837Z             
2022-11-23T01:32:32.2810099Z [2022-11-23 01:30:21,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 732
2022-11-23T01:32:32.2810349Z [2022-11-23 01:30:21,623] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2810720Z [2022-11-23 01:30:21,694] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wz/cwzktpfc7ulnwyurrlfgjbyw7norjryz2qlzjudn63whsjbx2jbh.py
2022-11-23T01:32:32.2810988Z [2022-11-23 01:30:21,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 732
2022-11-23T01:32:32.2810993Z 
2022-11-23T01:32:32.2811093Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2811167Z import torch
2022-11-23T01:32:32.2811245Z import random
2022-11-23T01:32:32.2811367Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2811487Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2811492Z 
2022-11-23T01:32:32.2811577Z aten = torch.ops.aten
2022-11-23T01:32:32.2811717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2811818Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2811823Z 
2022-11-23T01:32:32.2811899Z import triton
2022-11-23T01:32:32.2811992Z import triton.language as tl
2022-11-23T01:32:32.2812124Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2812261Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2812275Z 
2022-11-23T01:32:32.2812279Z 
2022-11-23T01:32:32.2812434Z triton_fused_sum_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.2812510Z import triton
2022-11-23T01:32:32.2812604Z import triton.language as tl
2022-11-23T01:32:32.2812719Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2812824Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2812956Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2813084Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2813089Z 
2022-11-23T01:32:32.2813172Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.2813288Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2813374Z               filename=__file__,
2022-11-23T01:32:32.2813719Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2813797Z @triton.jit
2022-11-23T01:32:32.2813978Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2814055Z     xnumel = 8
2022-11-23T01:32:32.2814127Z     rnumel = 8
2022-11-23T01:32:32.2814220Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2814359Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2814444Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2814566Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2814638Z     x0 = xindex
2022-11-23T01:32:32.2814759Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2814865Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2814948Z         rindex = roffset + rbase
2022-11-23T01:32:32.2815073Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2815168Z         r1 = rindex
2022-11-23T01:32:32.2815391Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2815610Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2815693Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2815815Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2815924Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2816023Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.2816109Z ''')
2022-11-23T01:32:32.2816114Z 
2022-11-23T01:32:32.2816118Z 
2022-11-23T01:32:32.2816214Z async_compile.wait(globals())
2022-11-23T01:32:32.2816293Z del async_compile
2022-11-23T01:32:32.2816298Z 
2022-11-23T01:32:32.2816375Z def call(args):
2022-11-23T01:32:32.2816455Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2816533Z     args.clear()
2022-11-23T01:32:32.2816724Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2816820Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2816971Z     triton_fused_sum_1_add0.run(arg0_1, arg1_1, buf0, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2817046Z     del arg0_1
2022-11-23T01:32:32.2817119Z     del arg1_1
2022-11-23T01:32:32.2817196Z     return (buf0, )
2022-11-23T01:32:32.2817201Z 
2022-11-23T01:32:32.2817206Z 
2022-11-23T01:32:32.2817288Z if __name__ == "__main__":
2022-11-23T01:32:32.2817399Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2817529Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2817734Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2817932Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2818053Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2818059Z 
2022-11-23T01:32:32.2818066Z 
2022-11-23T01:32:32.2818164Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2818243Z import torch
2022-11-23T01:32:32.2818318Z import random
2022-11-23T01:32:32.2818432Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2818558Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2818563Z 
2022-11-23T01:32:32.2818648Z aten = torch.ops.aten
2022-11-23T01:32:32.2819030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2819171Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2819178Z 
2022-11-23T01:32:32.2819285Z import triton
2022-11-23T01:32:32.2819392Z import triton.language as tl
2022-11-23T01:32:32.2819523Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2819662Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2819667Z 
2022-11-23T01:32:32.2819672Z 
2022-11-23T01:32:32.2819853Z triton_fused_sum_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.2819937Z import triton
2022-11-23T01:32:32.2820030Z import triton.language as tl
2022-11-23T01:32:32.2820150Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2820257Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2820393Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2820514Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2820527Z 
2022-11-23T01:32:32.2820608Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.2820727Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2820813Z               filename=__file__,
2022-11-23T01:32:32.2821156Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2821230Z @triton.jit
2022-11-23T01:32:32.2821414Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2821555Z     xnumel = 8
2022-11-23T01:32:32.2821648Z     rnumel = 8
2022-11-23T01:32:32.2821750Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2821891Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2821976Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2822102Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2822174Z     x0 = xindex
2022-11-23T01:32:32.2822295Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2822396Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2822486Z         rindex = roffset + rbase
2022-11-23T01:32:32.2822573Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2822652Z         r1 = rindex
2022-11-23T01:32:32.2822896Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2823138Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2823222Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2823348Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2823459Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2823559Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.2823644Z ''')
2022-11-23T01:32:32.2823649Z 
2022-11-23T01:32:32.2823654Z 
2022-11-23T01:32:32.2823748Z async_compile.wait(globals())
2022-11-23T01:32:32.2823825Z del async_compile
2022-11-23T01:32:32.2823830Z 
2022-11-23T01:32:32.2823906Z def call(args):
2022-11-23T01:32:32.2823990Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2824060Z     args.clear()
2022-11-23T01:32:32.2824260Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2824352Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2824502Z     triton_fused_sum_1_add0.run(arg0_1, arg1_1, buf0, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.2824576Z     del arg0_1
2022-11-23T01:32:32.2824651Z     del arg1_1
2022-11-23T01:32:32.2824734Z     return (buf0, )
2022-11-23T01:32:32.2824739Z 
2022-11-23T01:32:32.2824744Z 
2022-11-23T01:32:32.2824824Z if __name__ == "__main__":
2022-11-23T01:32:32.2824938Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2825069Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2825268Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2825470Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2825591Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2825597Z 
2022-11-23T01:32:32.2825670Z ok (0.190s)
2022-11-23T01:32:32.2825977Z   test_sum2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2826298Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2826514Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2826773Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2827051Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2827369Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2827714Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2828063Z [2022-11-23 01:30:21,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2828439Z [2022-11-23 01:30:21,700] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731> 
2022-11-23T01:32:32.2828567Z  732           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2828667Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2828740Z               4 BINARY_ADD
2022-11-23T01:32:32.2828840Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2828938Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2829033Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2829129Z              12 BUILD_LIST               2
2022-11-23T01:32:32.2829224Z              14 CALL_METHOD              1
2022-11-23T01:32:32.2829321Z              16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2829415Z              18 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2829489Z              20 BINARY_ADD
2022-11-23T01:32:32.2829590Z              22 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2829736Z              24 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2829829Z              26 CALL_METHOD              1
2022-11-23T01:32:32.2829922Z              28 BUILD_TUPLE              2
2022-11-23T01:32:32.2830006Z              30 RETURN_VALUE
2022-11-23T01:32:32.2830073Z  
2022-11-23T01:32:32.2830079Z 
2022-11-23T01:32:32.2830478Z [2022-11-23 01:30:21,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732
2022-11-23T01:32:32.2830695Z [2022-11-23 01:30:21,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2830938Z [2022-11-23 01:30:21,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2831211Z [2022-11-23 01:30:21,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2831456Z [2022-11-23 01:30:21,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2831730Z [2022-11-23 01:30:21,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2832035Z [2022-11-23 01:30:21,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2832375Z [2022-11-23 01:30:21,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2832674Z [2022-11-23 01:30:21,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T01:32:32.2832912Z [2022-11-23 01:30:21,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2833171Z [2022-11-23 01:30:21,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2833472Z [2022-11-23 01:30:21,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2833738Z [2022-11-23 01:30:21,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2834045Z [2022-11-23 01:30:21,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2834387Z [2022-11-23 01:30:21,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2834656Z [2022-11-23 01:30:21,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2834937Z [2022-11-23 01:30:21,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2835340Z [2022-11-23 01:30:21,704] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731>
2022-11-23T01:32:32.2835586Z [2022-11-23 01:30:21,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2835825Z [2022-11-23 01:30:21,704] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2836076Z [2022-11-23 01:30:21,705] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2836333Z [2022-11-23 01:30:21,708] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2836530Z [2022-11-23 01:30:21,709] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2836674Z  __compiled_fn_751 <eval_with_key>.4626 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2836773Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2836874Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2837062Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2837163Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T01:32:32.2837340Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2837480Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.2837590Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T01:32:32.2837595Z 
2022-11-23T01:32:32.2837925Z [2022-11-23 01:30:21,709] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2838025Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2838125Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2838217Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2838320Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2838407Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2838502Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2838584Z              12 RETURN_VALUE
2022-11-23T01:32:32.2838590Z 
2022-11-23T01:32:32.2838657Z  
2022-11-23T01:32:32.2838981Z [2022-11-23 01:30:21,709] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2839098Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_751)
2022-11-23T01:32:32.2839195Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2839284Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2839368Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2839463Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2839558Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2839639Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2839735Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2839851Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2839960Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2840048Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2840129Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2840237Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2840331Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2840414Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2840510Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.2840592Z              32 RETURN_VALUE
2022-11-23T01:32:32.2840597Z 
2022-11-23T01:32:32.2840656Z  
2022-11-23T01:32:32.2840850Z [2022-11-23 01:30:21,710] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2840929Z  - 
2022-11-23T01:32:32.2841058Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2841128Z             {
2022-11-23T01:32:32.2841309Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2841529Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2841648Z                 'obj_weakref': None
2022-11-23T01:32:32.2841877Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2841951Z             }
2022-11-23T01:32:32.2842027Z             
2022-11-23T01:32:32.2842121Z  - 
2022-11-23T01:32:32.2842269Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2842347Z             {
2022-11-23T01:32:32.2842488Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2842603Z                 'code': None,
2022-11-23T01:32:32.2842816Z                 'obj_weakref': <weakref at 0x7f2023416e30; to 'Tensor' at 0x7f2151f18270>
2022-11-23T01:32:32.2843063Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2843135Z             }
2022-11-23T01:32:32.2843205Z             
2022-11-23T01:32:32.2843285Z  - 
2022-11-23T01:32:32.2843404Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2843473Z             {
2022-11-23T01:32:32.2843620Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2843732Z                 'code': None,
2022-11-23T01:32:32.2843942Z                 'obj_weakref': <weakref at 0x7f20232a6ed0; to 'Tensor' at 0x7f21279db560>
2022-11-23T01:32:32.2844190Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2844262Z             }
2022-11-23T01:32:32.2844324Z             
2022-11-23T01:32:32.2844400Z  - 
2022-11-23T01:32:32.2844537Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2844605Z             {
2022-11-23T01:32:32.2844745Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2844918Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:32.2845044Z                 'obj_weakref': None
2022-11-23T01:32:32.2845270Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2845341Z             }
2022-11-23T01:32:32.2845409Z             
2022-11-23T01:32:32.2845483Z  - 
2022-11-23T01:32:32.2845609Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2845679Z             {
2022-11-23T01:32:32.2845824Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2846032Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2846157Z                 'obj_weakref': None
2022-11-23T01:32:32.2846380Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2846449Z             }
2022-11-23T01:32:32.2846517Z             
2022-11-23T01:32:32.2846780Z [2022-11-23 01:30:21,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 733
2022-11-23T01:32:32.2847029Z [2022-11-23 01:30:21,736] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2847269Z [2022-11-23 01:30:21,740] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2847628Z [2022-11-23 01:30:22,107] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u4/cu4ispjpmxmp6z544tomdtgwlerste26pyfyl6x445vapz2xwidw.py
2022-11-23T01:32:32.2847895Z [2022-11-23 01:30:22,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 733
2022-11-23T01:32:32.2848131Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2848443Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2848701Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2848957Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2849253Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2849569Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2849910Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2850229Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2850589Z [2022-11-23 01:30:22,111] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731> 
2022-11-23T01:32:32.2850691Z  732           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2850790Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2850869Z               4 BINARY_ADD
2022-11-23T01:32:32.2850970Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2851067Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2851161Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:32.2851248Z              12 BUILD_LIST               2
2022-11-23T01:32:32.2851340Z              14 CALL_METHOD              1
2022-11-23T01:32:32.2851436Z              16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2851531Z              18 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2851609Z              20 BINARY_ADD
2022-11-23T01:32:32.2851709Z              22 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2851851Z              24 LOAD_CONST               3 (-1)
2022-11-23T01:32:32.2851939Z              26 CALL_METHOD              1
2022-11-23T01:32:32.2852036Z              28 BUILD_TUPLE              2
2022-11-23T01:32:32.2852117Z              30 RETURN_VALUE
2022-11-23T01:32:32.2852184Z  
2022-11-23T01:32:32.2852190Z 
2022-11-23T01:32:32.2852501Z [2022-11-23 01:30:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732
2022-11-23T01:32:32.2852715Z [2022-11-23 01:30:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2852952Z [2022-11-23 01:30:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2853230Z [2022-11-23 01:30:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2853478Z [2022-11-23 01:30:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2853743Z [2022-11-23 01:30:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2854055Z [2022-11-23 01:30:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2854399Z [2022-11-23 01:30:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.2854700Z [2022-11-23 01:30:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T01:32:32.2854937Z [2022-11-23 01:30:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.2855201Z [2022-11-23 01:30:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2855547Z [2022-11-23 01:30:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2855841Z [2022-11-23 01:30:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2856148Z [2022-11-23 01:30:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2856491Z [2022-11-23 01:30:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2856755Z [2022-11-23 01:30:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2857006Z [2022-11-23 01:30:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2857384Z [2022-11-23 01:30:22,116] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f414d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731>
2022-11-23T01:32:32.2857635Z [2022-11-23 01:30:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2857869Z [2022-11-23 01:30:22,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2858128Z [2022-11-23 01:30:22,117] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2858384Z [2022-11-23 01:30:22,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2858579Z [2022-11-23 01:30:22,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2858721Z  __compiled_fn_752 <eval_with_key>.4632 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2859009Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2859098Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2859288Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2859395Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T01:32:32.2859584Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2859727Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.2859836Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T01:32:32.2859841Z 
2022-11-23T01:32:32.2860172Z [2022-11-23 01:30:22,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2860265Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2860364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2860457Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2860558Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2860650Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2860750Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2860831Z              12 RETURN_VALUE
2022-11-23T01:32:32.2860839Z 
2022-11-23T01:32:32.2860905Z  
2022-11-23T01:32:32.2861218Z [2022-11-23 01:30:22,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2861339Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_752)
2022-11-23T01:32:32.2861437Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2861536Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2861619Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2861714Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2861808Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2861883Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2861992Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2862119Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2862309Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2862440Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2862522Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2862633Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2862720Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2862804Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2862898Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.2862979Z              32 RETURN_VALUE
2022-11-23T01:32:32.2862985Z 
2022-11-23T01:32:32.2863050Z  
2022-11-23T01:32:32.2863242Z [2022-11-23 01:30:22,122] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2863318Z  - 
2022-11-23T01:32:32.2863449Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2863512Z             {
2022-11-23T01:32:32.2863660Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2863856Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2863982Z                 'obj_weakref': None
2022-11-23T01:32:32.2864214Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2864283Z             }
2022-11-23T01:32:32.2864353Z             
2022-11-23T01:32:32.2864422Z  - 
2022-11-23T01:32:32.2864553Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2864623Z             {
2022-11-23T01:32:32.2864771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2864886Z                 'code': None,
2022-11-23T01:32:32.2865104Z                 'obj_weakref': <weakref at 0x7f201e6fb8d0; to 'Tensor' at 0x7f201e37a1b0>
2022-11-23T01:32:32.2865356Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2865419Z             }
2022-11-23T01:32:32.2865490Z             
2022-11-23T01:32:32.2865567Z  - 
2022-11-23T01:32:32.2865699Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2865770Z             {
2022-11-23T01:32:32.2865924Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2866029Z                 'code': None,
2022-11-23T01:32:32.2866244Z                 'obj_weakref': <weakref at 0x7f201e6fbb00; to 'Tensor' at 0x7f1ffade6430>
2022-11-23T01:32:32.2866493Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2866564Z             }
2022-11-23T01:32:32.2866635Z             
2022-11-23T01:32:32.2866711Z  - 
2022-11-23T01:32:32.2866850Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2866922Z             {
2022-11-23T01:32:32.2867056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2867232Z                 'code': ['___check_obj_id(model, 139777028258208)'],
2022-11-23T01:32:32.2867357Z                 'obj_weakref': None
2022-11-23T01:32:32.2867591Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2867660Z             }
2022-11-23T01:32:32.2867730Z             
2022-11-23T01:32:32.2867810Z  - 
2022-11-23T01:32:32.2867930Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2868000Z             {
2022-11-23T01:32:32.2868143Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2868359Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2868481Z                 'obj_weakref': None
2022-11-23T01:32:32.2868701Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2868770Z             }
2022-11-23T01:32:32.2868831Z             
2022-11-23T01:32:32.2869093Z [2022-11-23 01:30:22,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 734
2022-11-23T01:32:32.2869342Z [2022-11-23 01:30:22,140] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.2869620Z [2022-11-23 01:30:22,143] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2869649Z 
2022-11-23T01:32:32.2869752Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2869827Z import torch
2022-11-23T01:32:32.2869902Z import random
2022-11-23T01:32:32.2870017Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2870147Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2870152Z 
2022-11-23T01:32:32.2870235Z aten = torch.ops.aten
2022-11-23T01:32:32.2870451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2870560Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2870565Z 
2022-11-23T01:32:32.2870644Z import triton
2022-11-23T01:32:32.2870738Z import triton.language as tl
2022-11-23T01:32:32.2870867Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2871004Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2871009Z 
2022-11-23T01:32:32.2871024Z 
2022-11-23T01:32:32.2871182Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.2871260Z import triton
2022-11-23T01:32:32.2871353Z import triton.language as tl
2022-11-23T01:32:32.2871475Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2871580Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2871715Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2871846Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2871851Z 
2022-11-23T01:32:32.2871941Z @reduction(size_hints=[256, 32],
2022-11-23T01:32:32.2872081Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.2872181Z               filename=__file__,
2022-11-23T01:32:32.2872533Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2872608Z @triton.jit
2022-11-23T01:32:32.2872791Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2872871Z     xnumel = 168
2022-11-23T01:32:32.2872945Z     rnumel = 27
2022-11-23T01:32:32.2873038Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2873177Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2873261Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2873382Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2873459Z     x0 = xindex % 21
2022-11-23T01:32:32.2873540Z     x1 = (xindex // 21)
2022-11-23T01:32:32.2873663Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2873728Z     x3 = xindex
2022-11-23T01:32:32.2873835Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2873924Z         rindex = roffset + rbase
2022-11-23T01:32:32.2874011Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2874083Z         r2 = rindex
2022-11-23T01:32:32.2874317Z         tmp0 = tl.load(in_ptr0 + (x0 + (21*r2) + (567*x1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2874551Z         tmp1 = tl.load(in_ptr1 + (x0 + (21*r2) + (567*x1)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2874627Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2874748Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2874863Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2874962Z     tl.store(out_ptr0 + x3, tmp3, xmask)
2022-11-23T01:32:32.2875049Z ''')
2022-11-23T01:32:32.2875054Z 
2022-11-23T01:32:32.2875059Z 
2022-11-23T01:32:32.2875226Z triton_fused_add_1_sum_21 = async_compile.triton('''
2022-11-23T01:32:32.2875302Z import triton
2022-11-23T01:32:32.2875388Z import triton.language as tl
2022-11-23T01:32:32.2875506Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2875611Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2875779Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2875928Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2875933Z 
2022-11-23T01:32:32.2876025Z @reduction(size_hints=[256, 32],
2022-11-23T01:32:32.2876142Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2876227Z               filename=__file__,
2022-11-23T01:32:32.2876561Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2876636Z @triton.jit
2022-11-23T01:32:32.2876816Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2876894Z     xnumel = 216
2022-11-23T01:32:32.2876968Z     rnumel = 21
2022-11-23T01:32:32.2877067Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2877207Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2877287Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2877413Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2877487Z     x0 = xindex
2022-11-23T01:32:32.2877606Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2877713Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2877803Z         rindex = roffset + rbase
2022-11-23T01:32:32.2877890Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2877955Z         r1 = rindex
2022-11-23T01:32:32.2878174Z         tmp0 = tl.load(in_ptr0 + (r1 + (21*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2878392Z         tmp1 = tl.load(in_ptr1 + (r1 + (21*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2878474Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2878596Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2878713Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2878815Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.2878901Z ''')
2022-11-23T01:32:32.2878910Z 
2022-11-23T01:32:32.2878914Z 
2022-11-23T01:32:32.2879002Z async_compile.wait(globals())
2022-11-23T01:32:32.2879079Z del async_compile
2022-11-23T01:32:32.2879084Z 
2022-11-23T01:32:32.2879162Z def call(args):
2022-11-23T01:32:32.2879243Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2879319Z     args.clear()
2022-11-23T01:32:32.2879524Z     buf0 = empty_strided((8, 21), (21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2879615Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2879761Z     triton_fused_add_sum_10.run(arg0_1, arg1_1, buf0, 168, 27, grid=grid(168), stream=stream0)
2022-11-23T01:32:32.2879969Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2880124Z     triton_fused_add_1_sum_21.run(arg0_1, arg1_1, buf1, 216, 21, grid=grid(216), stream=stream0)
2022-11-23T01:32:32.2880199Z     del arg0_1
2022-11-23T01:32:32.2880272Z     del arg1_1
2022-11-23T01:32:32.2880359Z     return (buf0, buf1, )
2022-11-23T01:32:32.2880369Z 
2022-11-23T01:32:32.2880373Z 
2022-11-23T01:32:32.2880455Z if __name__ == "__main__":
2022-11-23T01:32:32.2880576Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2880698Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2880915Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2881130Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2881252Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2881257Z 
2022-11-23T01:32:32.2881618Z [2022-11-23 01:30:22,489] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkmb2qy3cs2pms2qqnbgkv7o2sg2p5u4xua23zi7owkzldctp4q.py
2022-11-23T01:32:32.2881884Z [2022-11-23 01:30:22,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 734
2022-11-23T01:32:32.2881921Z 
2022-11-23T01:32:32.2882024Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2882123Z import torch
2022-11-23T01:32:32.2882199Z import random
2022-11-23T01:32:32.2882313Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2882440Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2882445Z 
2022-11-23T01:32:32.2882529Z aten = torch.ops.aten
2022-11-23T01:32:32.2882671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2882771Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2882776Z 
2022-11-23T01:32:32.2882852Z import triton
2022-11-23T01:32:32.2882946Z import triton.language as tl
2022-11-23T01:32:32.2883066Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2883210Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2883215Z 
2022-11-23T01:32:32.2883219Z 
2022-11-23T01:32:32.2883384Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.2883463Z import triton
2022-11-23T01:32:32.2883562Z import triton.language as tl
2022-11-23T01:32:32.2883676Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2883782Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2883917Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2884037Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2884042Z 
2022-11-23T01:32:32.2884135Z @reduction(size_hints=[256, 32],
2022-11-23T01:32:32.2884253Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.2884338Z               filename=__file__,
2022-11-23T01:32:32.2884677Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2884756Z @triton.jit
2022-11-23T01:32:32.2884938Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2885014Z     xnumel = 168
2022-11-23T01:32:32.2885085Z     rnumel = 27
2022-11-23T01:32:32.2885182Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2885321Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2885406Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2885527Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2885605Z     x0 = xindex % 21
2022-11-23T01:32:32.2885687Z     x1 = (xindex // 21)
2022-11-23T01:32:32.2885800Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2885875Z     x3 = xindex
2022-11-23T01:32:32.2885982Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2886071Z         rindex = roffset + rbase
2022-11-23T01:32:32.2886158Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2886231Z         r2 = rindex
2022-11-23T01:32:32.2886495Z         tmp0 = tl.load(in_ptr0 + (x0 + (21*r2) + (567*x1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2886744Z         tmp1 = tl.load(in_ptr1 + (x0 + (21*r2) + (567*x1)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2886832Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2886956Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2887074Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2887175Z     tl.store(out_ptr0 + x3, tmp3, xmask)
2022-11-23T01:32:32.2887261Z ''')
2022-11-23T01:32:32.2887266Z 
2022-11-23T01:32:32.2887271Z 
2022-11-23T01:32:32.2887443Z triton_fused_sum_2_add_11 = async_compile.triton('''
2022-11-23T01:32:32.2887518Z import triton
2022-11-23T01:32:32.2887604Z import triton.language as tl
2022-11-23T01:32:32.2887721Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2887826Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2887964Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2888123Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2888150Z 
2022-11-23T01:32:32.2888244Z @reduction(size_hints=[256, 32],
2022-11-23T01:32:32.2888364Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2888443Z               filename=__file__,
2022-11-23T01:32:32.2888784Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.2888861Z @triton.jit
2022-11-23T01:32:32.2889041Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2889117Z     xnumel = 216
2022-11-23T01:32:32.2889191Z     rnumel = 21
2022-11-23T01:32:32.2889291Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2889422Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2889506Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2889633Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2889705Z     x0 = xindex
2022-11-23T01:32:32.2889824Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2889930Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2890021Z         rindex = roffset + rbase
2022-11-23T01:32:32.2890101Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2890175Z         r1 = rindex
2022-11-23T01:32:32.2890422Z         tmp0 = tl.load(in_ptr0 + (r1 + (21*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2890663Z         tmp1 = tl.load(in_ptr1 + (r1 + (21*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2890747Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2890870Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.2890991Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2891091Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.2891169Z ''')
2022-11-23T01:32:32.2891176Z 
2022-11-23T01:32:32.2891184Z 
2022-11-23T01:32:32.2891278Z async_compile.wait(globals())
2022-11-23T01:32:32.2891357Z del async_compile
2022-11-23T01:32:32.2891362Z 
2022-11-23T01:32:32.2891442Z def call(args):
2022-11-23T01:32:32.2891524Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2891601Z     args.clear()
2022-11-23T01:32:32.2891804Z     buf0 = empty_strided((8, 21), (21, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2891895Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2892039Z     triton_fused_add_sum_10.run(arg0_1, arg1_1, buf0, 168, 27, grid=grid(168), stream=stream0)
2022-11-23T01:32:32.2892244Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2892398Z     triton_fused_sum_2_add_11.run(arg0_1, arg1_1, buf1, 216, 21, grid=grid(216), stream=stream0)
2022-11-23T01:32:32.2892472Z     del arg0_1
2022-11-23T01:32:32.2892547Z     del arg1_1
2022-11-23T01:32:32.2892629Z     return (buf0, buf1, )
2022-11-23T01:32:32.2892637Z 
2022-11-23T01:32:32.2892643Z 
2022-11-23T01:32:32.2892725Z if __name__ == "__main__":
2022-11-23T01:32:32.2892838Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2892970Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2893188Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2893406Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2893529Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2893534Z 
2022-11-23T01:32:32.2893609Z ok (0.795s)
2022-11-23T01:32:32.2893915Z   test_sum3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2894265Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2894488Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2894762Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2895043Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2895366Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2895715Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2896040Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2896417Z [2022-11-23 01:30:22,494] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737> 
2022-11-23T01:32:32.2896519Z  738           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2896617Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2896696Z               4 BINARY_ADD
2022-11-23T01:32:32.2896785Z               6 STORE_FAST               2 (r1)
2022-11-23T01:32:32.2896798Z 
2022-11-23T01:32:32.2896886Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T01:32:32.2896986Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2897128Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.2897221Z              14 CALL_METHOD              1
2022-11-23T01:32:32.2897319Z              16 STORE_FAST               3 (r2)
2022-11-23T01:32:32.2897324Z 
2022-11-23T01:32:32.2897425Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.2897531Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T01:32:32.2897621Z              22 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2897714Z              24 CALL_METHOD              1
2022-11-23T01:32:32.2897810Z              26 LOAD_CONST               2 (10)
2022-11-23T01:32:32.2897889Z              28 BINARY_ADD
2022-11-23T01:32:32.2897984Z              30 STORE_FAST               4 (r3)
2022-11-23T01:32:32.2897989Z 
2022-11-23T01:32:32.2898083Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T01:32:32.2898178Z              34 LOAD_FAST                3 (r2)
2022-11-23T01:32:32.2898274Z              36 LOAD_FAST                4 (r3)
2022-11-23T01:32:32.2898361Z              38 BUILD_TUPLE              3
2022-11-23T01:32:32.2898443Z              40 RETURN_VALUE
2022-11-23T01:32:32.2898510Z  
2022-11-23T01:32:32.2898515Z 
2022-11-23T01:32:32.2898949Z [2022-11-23 01:30:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738
2022-11-23T01:32:32.2899170Z [2022-11-23 01:30:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2899419Z [2022-11-23 01:30:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2899699Z [2022-11-23 01:30:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2899946Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T01:32:32.2900253Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739
2022-11-23T01:32:32.2900472Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:32.2900721Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2901047Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2901388Z [2022-11-23 01:30:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2901629Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T01:32:32.2901938Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740
2022-11-23T01:32:32.2902164Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2902536Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2902914Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2903259Z [2022-11-23 01:30:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2903502Z [2022-11-23 01:30:22,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:32.2903782Z [2022-11-23 01:30:22,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2904024Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T01:32:32.2904334Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741
2022-11-23T01:32:32.2904552Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:32.2904795Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T01:32:32.2905069Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2905369Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2905619Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2905989Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737>
2022-11-23T01:32:32.2906239Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2906482Z [2022-11-23 01:30:22,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2906745Z [2022-11-23 01:30:22,500] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2907000Z [2022-11-23 01:30:22,504] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2907196Z [2022-11-23 01:30:22,504] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2907338Z  __compiled_fn_753 <eval_with_key>.4638 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2907434Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2907528Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2907703Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2907840Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.2908082Z call_function, squeeze, <built-in method squeeze of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:32.2908304Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T01:32:32.2908442Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T01:32:32.2908447Z 
2022-11-23T01:32:32.2908780Z [2022-11-23 01:30:22,504] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2908881Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2908977Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2909063Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2909163Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2909255Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2909350Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2909432Z              12 RETURN_VALUE
2022-11-23T01:32:32.2909437Z 
2022-11-23T01:32:32.2909504Z  
2022-11-23T01:32:32.2909830Z [2022-11-23 01:30:22,504] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2909942Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_753)
2022-11-23T01:32:32.2910040Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2910140Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2910223Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2910392Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2910502Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2910600Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2910709Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2910816Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2910929Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2911026Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2911109Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2911221Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2911320Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2911402Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2911503Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2911600Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2911685Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2911782Z              36 BUILD_TUPLE              3
2022-11-23T01:32:32.2911866Z              38 RETURN_VALUE
2022-11-23T01:32:32.2911871Z 
2022-11-23T01:32:32.2911938Z  
2022-11-23T01:32:32.2912128Z [2022-11-23 01:30:22,505] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2912197Z  - 
2022-11-23T01:32:32.2912323Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2912395Z             {
2022-11-23T01:32:32.2912555Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2912779Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2912904Z                 'obj_weakref': None
2022-11-23T01:32:32.2913134Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2913198Z             }
2022-11-23T01:32:32.2913267Z             
2022-11-23T01:32:32.2913345Z  - 
2022-11-23T01:32:32.2913476Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2913545Z             {
2022-11-23T01:32:32.2913693Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2913807Z                 'code': None,
2022-11-23T01:32:32.2914015Z                 'obj_weakref': <weakref at 0x7f1ffade4860; to 'Tensor' at 0x7f201e6f8860>
2022-11-23T01:32:32.2914265Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2914337Z             }
2022-11-23T01:32:32.2914406Z             
2022-11-23T01:32:32.2914482Z  - 
2022-11-23T01:32:32.2914612Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2914718Z             {
2022-11-23T01:32:32.2914881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2914995Z                 'code': None,
2022-11-23T01:32:32.2915210Z                 'obj_weakref': <weakref at 0x7f1ffade6ca0; to 'Tensor' at 0x7f201e6f9080>
2022-11-23T01:32:32.2915458Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2922593Z             }
2022-11-23T01:32:32.2922684Z             
2022-11-23T01:32:32.2922776Z  - 
2022-11-23T01:32:32.2922915Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2922987Z             {
2022-11-23T01:32:32.2923133Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2923312Z                 'code': ['___check_obj_id(model, 139775060958880)'],
2022-11-23T01:32:32.2923442Z                 'obj_weakref': None
2022-11-23T01:32:32.2923684Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2923755Z             }
2022-11-23T01:32:32.2923821Z             
2022-11-23T01:32:32.2923900Z  - 
2022-11-23T01:32:32.2924030Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2924099Z             {
2022-11-23T01:32:32.2924246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2924469Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2924594Z                 'obj_weakref': None
2022-11-23T01:32:32.2924815Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2924884Z             }
2022-11-23T01:32:32.2924953Z             
2022-11-23T01:32:32.2925029Z  - 
2022-11-23T01:32:32.2925169Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2925238Z             {
2022-11-23T01:32:32.2925366Z                 'guard_types': None,
2022-11-23T01:32:32.2925473Z                 'code': None,
2022-11-23T01:32:32.2925598Z                 'obj_weakref': None
2022-11-23T01:32:32.2925728Z                 'guarded_class': None
2022-11-23T01:32:32.2925798Z             }
2022-11-23T01:32:32.2925867Z             
2022-11-23T01:32:32.2926136Z [2022-11-23 01:30:22,511] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 735
2022-11-23T01:32:32.2926651Z [2022-11-23 01:30:22,521] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2926902Z [2022-11-23 01:30:22,524] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2927258Z [2022-11-23 01:30:22,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chafh3h2daswpliv6et7hro6ntfulnrwmsttsbsldliowqyoim2k.py
2022-11-23T01:32:32.2927527Z [2022-11-23 01:30:22,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 735
2022-11-23T01:32:32.2927768Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2928083Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2928303Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2928564Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2928847Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2929163Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2929569Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2929918Z [2022-11-23 01:30:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2930287Z [2022-11-23 01:30:22,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737> 
2022-11-23T01:32:32.2930389Z  738           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2930488Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2930568Z               4 BINARY_ADD
2022-11-23T01:32:32.2930666Z               6 STORE_FAST               2 (r1)
2022-11-23T01:32:32.2930671Z 
2022-11-23T01:32:32.2930771Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T01:32:32.2930875Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2931021Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.2931112Z              14 CALL_METHOD              1
2022-11-23T01:32:32.2931212Z              16 STORE_FAST               3 (r2)
2022-11-23T01:32:32.2931217Z 
2022-11-23T01:32:32.2931319Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.2931421Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T01:32:32.2931520Z              22 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2931612Z              24 CALL_METHOD              1
2022-11-23T01:32:32.2931708Z              26 LOAD_CONST               2 (10)
2022-11-23T01:32:32.2931779Z              28 BINARY_ADD
2022-11-23T01:32:32.2931878Z              30 STORE_FAST               4 (r3)
2022-11-23T01:32:32.2931883Z 
2022-11-23T01:32:32.2931980Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T01:32:32.2932097Z              34 LOAD_FAST                3 (r2)
2022-11-23T01:32:32.2932200Z              36 LOAD_FAST                4 (r3)
2022-11-23T01:32:32.2932311Z              38 BUILD_TUPLE              3
2022-11-23T01:32:32.2932400Z              40 RETURN_VALUE
2022-11-23T01:32:32.2932468Z  
2022-11-23T01:32:32.2932474Z 
2022-11-23T01:32:32.2932781Z [2022-11-23 01:30:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738
2022-11-23T01:32:32.2932999Z [2022-11-23 01:30:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2933242Z [2022-11-23 01:30:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.2933520Z [2022-11-23 01:30:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2933767Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T01:32:32.2934084Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739
2022-11-23T01:32:32.2934302Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:32.2934548Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2934829Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2935137Z [2022-11-23 01:30:22,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2935381Z [2022-11-23 01:30:22,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T01:32:32.2935693Z [2022-11-23 01:30:22,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740
2022-11-23T01:32:32.2935947Z [2022-11-23 01:30:22,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.2936341Z [2022-11-23 01:30:22,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.2936669Z [2022-11-23 01:30:22,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.2937025Z [2022-11-23 01:30:22,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.2937270Z [2022-11-23 01:30:22,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:32.2937556Z [2022-11-23 01:30:22,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2937799Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T01:32:32.2938124Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741
2022-11-23T01:32:32.2938334Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:32.2938578Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T01:32:32.2939000Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2939307Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2939561Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2939943Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737>
2022-11-23T01:32:32.2940199Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2940439Z [2022-11-23 01:30:22,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2940701Z [2022-11-23 01:30:22,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2940957Z [2022-11-23 01:30:22,740] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2941147Z [2022-11-23 01:30:22,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2941290Z  __compiled_fn_754 <eval_with_key>.4644 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2941386Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2941481Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.2941666Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.2941809Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.2942051Z call_function, squeeze, <built-in method squeeze of type object at 0x7f209c394c60>, (ex_1_,), {}
2022-11-23T01:32:32.2942231Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T01:32:32.2942349Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T01:32:32.2942354Z 
2022-11-23T01:32:32.2942702Z [2022-11-23 01:30:22,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2942815Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2942937Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2943034Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2943135Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2943294Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2943411Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2943495Z              12 RETURN_VALUE
2022-11-23T01:32:32.2943501Z 
2022-11-23T01:32:32.2943569Z  
2022-11-23T01:32:32.2943897Z [2022-11-23 01:30:22,741] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2944016Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_754)
2022-11-23T01:32:32.2944114Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2944215Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2944300Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2944389Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2944487Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2944569Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.2944666Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.2944784Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2944898Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2944995Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2945070Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2945182Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2945279Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2945363Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2945473Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2945569Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2945653Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2945741Z              36 BUILD_TUPLE              3
2022-11-23T01:32:32.2945825Z              38 RETURN_VALUE
2022-11-23T01:32:32.2945830Z 
2022-11-23T01:32:32.2945896Z  
2022-11-23T01:32:32.2946086Z [2022-11-23 01:30:22,742] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2946162Z  - 
2022-11-23T01:32:32.2946292Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2946362Z             {
2022-11-23T01:32:32.2946500Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.2946691Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.2946815Z                 'obj_weakref': None
2022-11-23T01:32:32.2947042Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.2947115Z             }
2022-11-23T01:32:32.2947185Z             
2022-11-23T01:32:32.2947261Z  - 
2022-11-23T01:32:32.2947383Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.2947458Z             {
2022-11-23T01:32:32.2947609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2947721Z                 'code': None,
2022-11-23T01:32:32.2947938Z                 'obj_weakref': <weakref at 0x7f1ff818e1b0; to 'Tensor' at 0x7f2023096840>
2022-11-23T01:32:32.2948193Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2948268Z             }
2022-11-23T01:32:32.2948330Z             
2022-11-23T01:32:32.2948406Z  - 
2022-11-23T01:32:32.2948534Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.2948604Z             {
2022-11-23T01:32:32.2948752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.2948862Z                 'code': None,
2022-11-23T01:32:32.2949076Z                 'obj_weakref': <weakref at 0x7f1ff818dad0; to 'Tensor' at 0x7f2023389850>
2022-11-23T01:32:32.2949317Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.2949388Z             }
2022-11-23T01:32:32.2949459Z             
2022-11-23T01:32:32.2949538Z  - 
2022-11-23T01:32:32.2949673Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.2949744Z             {
2022-11-23T01:32:32.2949916Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.2950106Z                 'code': ['___check_obj_id(model, 139775060958880)'],
2022-11-23T01:32:32.2950233Z                 'obj_weakref': None
2022-11-23T01:32:32.2950563Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.2950646Z             }
2022-11-23T01:32:32.2950717Z             
2022-11-23T01:32:32.2950793Z  - 
2022-11-23T01:32:32.2950922Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.2950986Z             {
2022-11-23T01:32:32.2951128Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.2951351Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.2951478Z                 'obj_weakref': None
2022-11-23T01:32:32.2951705Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.2951776Z             }
2022-11-23T01:32:32.2951849Z             
2022-11-23T01:32:32.2951920Z  - 
2022-11-23T01:32:32.2952061Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.2952130Z             {
2022-11-23T01:32:32.2952257Z                 'guard_types': None,
2022-11-23T01:32:32.2952372Z                 'code': None,
2022-11-23T01:32:32.2952499Z                 'obj_weakref': None
2022-11-23T01:32:32.2952627Z                 'guarded_class': None
2022-11-23T01:32:32.2952689Z             }
2022-11-23T01:32:32.2952761Z             
2022-11-23T01:32:32.2953027Z [2022-11-23 01:30:22,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 736
2022-11-23T01:32:32.2953551Z [2022-11-23 01:30:22,758] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1')]
2022-11-23T01:32:32.2953806Z [2022-11-23 01:30:22,761] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.2953814Z 
2022-11-23T01:32:32.2953916Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2953991Z import torch
2022-11-23T01:32:32.2954068Z import random
2022-11-23T01:32:32.2954185Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2954316Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2954321Z 
2022-11-23T01:32:32.2954406Z aten = torch.ops.aten
2022-11-23T01:32:32.2954550Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2954651Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2954656Z 
2022-11-23T01:32:32.2954733Z import triton
2022-11-23T01:32:32.2954828Z import triton.language as tl
2022-11-23T01:32:32.2954958Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2955097Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2955102Z 
2022-11-23T01:32:32.2955107Z 
2022-11-23T01:32:32.2955275Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.2955353Z import triton
2022-11-23T01:32:32.2955447Z import triton.language as tl
2022-11-23T01:32:32.2955564Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2955669Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2955805Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2955927Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2955943Z 
2022-11-23T01:32:32.2956029Z @reduction(size_hints=[16, 16],
2022-11-23T01:32:32.2956147Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2956236Z               filename=__file__,
2022-11-23T01:32:32.2956596Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2956671Z @triton.jit
2022-11-23T01:32:32.2956898Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2957002Z     xnumel = 10
2022-11-23T01:32:32.2957070Z     rnumel = 10
2022-11-23T01:32:32.2957171Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2957313Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2957400Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2957522Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2957597Z     x0 = xindex
2022-11-23T01:32:32.2957707Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2957790Z         rindex = roffset + rbase
2022-11-23T01:32:32.2957879Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2957953Z         r1 = rindex
2022-11-23T01:32:32.2958176Z         tmp0 = tl.load(in_ptr0 + (r1 + (10*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2958374Z         tmp1 = tl.load(in_ptr1 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2958462Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2958631Z         tl.store(out_ptr0 + (r1 + (10*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp2, xmask & rmask)
2022-11-23T01:32:32.2958754Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2958855Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2958948Z         rindex = roffset + rbase
2022-11-23T01:32:32.2959038Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2959111Z         r1 = rindex
2022-11-23T01:32:32.2959334Z         tmp3 = tl.load(out_ptr0 + (r1 + (10*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.2959462Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:32.2959582Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2959676Z     tl.store(out_ptr1 + x0, tmp4, xmask)
2022-11-23T01:32:32.2959761Z ''')
2022-11-23T01:32:32.2959767Z 
2022-11-23T01:32:32.2959771Z 
2022-11-23T01:32:32.2959946Z triton_fused_add_1_squeeze1 = async_compile.triton('''
2022-11-23T01:32:32.2960026Z import triton
2022-11-23T01:32:32.2960123Z import triton.language as tl
2022-11-23T01:32:32.2960243Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2960350Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2960479Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2960610Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2960615Z 
2022-11-23T01:32:32.2960988Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2961064Z @triton.jit
2022-11-23T01:32:32.2961202Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2961280Z     xnumel = 10
2022-11-23T01:32:32.2961381Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2961521Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2961600Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2961676Z     x0 = xindex
2022-11-23T01:32:32.2961775Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.2961850Z     tmp1 = 10
2022-11-23T01:32:32.2961931Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2962071Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.2962159Z ''')
2022-11-23T01:32:32.2962165Z 
2022-11-23T01:32:32.2962169Z 
2022-11-23T01:32:32.2962266Z async_compile.wait(globals())
2022-11-23T01:32:32.2962338Z del async_compile
2022-11-23T01:32:32.2962343Z 
2022-11-23T01:32:32.2962419Z def call(args):
2022-11-23T01:32:32.2962514Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2962602Z     args.clear()
2022-11-23T01:32:32.2962831Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2963029Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2963175Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2963331Z     triton_fused_add_sum_10.run(arg0_1, arg1_1, buf0, buf1, 10, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.2963463Z     del arg0_1
2022-11-23T01:32:32.2963658Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2963810Z     triton_fused_add_1_squeeze1.run(arg1_1, buf2, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.2963886Z     del arg1_1
2022-11-23T01:32:32.2963976Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2963981Z 
2022-11-23T01:32:32.2963985Z 
2022-11-23T01:32:32.2964068Z if __name__ == "__main__":
2022-11-23T01:32:32.2964188Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2964311Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2964516Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2964718Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.2964844Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2964852Z 
2022-11-23T01:32:32.2965215Z [2022-11-23 01:30:22,847] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n4/cn4s3m73rb5f2iksghpdmknpdzxrxqrwinjb3pyupewfx35zypey.py
2022-11-23T01:32:32.2965485Z [2022-11-23 01:30:22,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 736
2022-11-23T01:32:32.2965491Z 
2022-11-23T01:32:32.2965592Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.2965667Z import torch
2022-11-23T01:32:32.2965737Z import random
2022-11-23T01:32:32.2965861Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.2965988Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.2965994Z 
2022-11-23T01:32:32.2966079Z aten = torch.ops.aten
2022-11-23T01:32:32.2966225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.2966323Z async_compile = AsyncCompile()
2022-11-23T01:32:32.2966331Z 
2022-11-23T01:32:32.2966407Z import triton
2022-11-23T01:32:32.2966508Z import triton.language as tl
2022-11-23T01:32:32.2966630Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.2966776Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.2966781Z 
2022-11-23T01:32:32.2966786Z 
2022-11-23T01:32:32.2966957Z triton_fused_sum_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.2967034Z import triton
2022-11-23T01:32:32.2967129Z import triton.language as tl
2022-11-23T01:32:32.2967247Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2967354Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2967481Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.2967611Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2967616Z 
2022-11-23T01:32:32.2967710Z @reduction(size_hints=[16, 16],
2022-11-23T01:32:32.2967830Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.2967919Z               filename=__file__,
2022-11-23T01:32:32.2968278Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.2968354Z @triton.jit
2022-11-23T01:32:32.2968546Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.2968614Z     xnumel = 10
2022-11-23T01:32:32.2968691Z     rnumel = 10
2022-11-23T01:32:32.2968793Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2968935Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.2969022Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2969145Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.2969219Z     x0 = xindex
2022-11-23T01:32:32.2969319Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2969442Z         rindex = roffset + rbase
2022-11-23T01:32:32.2969550Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2969625Z         r1 = rindex
2022-11-23T01:32:32.2969870Z         tmp0 = tl.load(in_ptr0 + (r1 + (10*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2970091Z         tmp1 = tl.load(in_ptr1 + (r1), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2970179Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2970342Z         tl.store(out_ptr0 + (r1 + (10*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp2, xmask & rmask)
2022-11-23T01:32:32.2970457Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.2970565Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.2970657Z         rindex = roffset + rbase
2022-11-23T01:32:32.2970744Z         rmask = rindex < rnumel
2022-11-23T01:32:32.2970820Z         r1 = rindex
2022-11-23T01:32:32.2971068Z         tmp3 = tl.load(out_ptr0 + (r1 + (10*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.2971196Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:32.2971306Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:32.2971408Z     tl.store(out_ptr1 + x0, tmp4, xmask)
2022-11-23T01:32:32.2971497Z ''')
2022-11-23T01:32:32.2971502Z 
2022-11-23T01:32:32.2971507Z 
2022-11-23T01:32:32.2971681Z triton_fused_squeeze_add_11 = async_compile.triton('''
2022-11-23T01:32:32.2971761Z import triton
2022-11-23T01:32:32.2971856Z import triton.language as tl
2022-11-23T01:32:32.2971977Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.2972083Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.2972213Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.2972340Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.2972345Z 
2022-11-23T01:32:32.2972719Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.2972797Z @triton.jit
2022-11-23T01:32:32.2972934Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.2973010Z     xnumel = 10
2022-11-23T01:32:32.2973111Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.2973238Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.2973330Z     xmask = xindex < xnumel
2022-11-23T01:32:32.2973403Z     x0 = xindex
2022-11-23T01:32:32.2973522Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.2973597Z     tmp1 = 10
2022-11-23T01:32:32.2973679Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.2973815Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.2973894Z ''')
2022-11-23T01:32:32.2973909Z 
2022-11-23T01:32:32.2973914Z 
2022-11-23T01:32:32.2974000Z async_compile.wait(globals())
2022-11-23T01:32:32.2974083Z del async_compile
2022-11-23T01:32:32.2974088Z 
2022-11-23T01:32:32.2974166Z def call(args):
2022-11-23T01:32:32.2974247Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.2974329Z     args.clear()
2022-11-23T01:32:32.2974534Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2974731Z     buf1 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2974816Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.2974979Z     triton_fused_sum_1_add0.run(arg0_1, arg1_1, buf0, buf1, 10, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.2975054Z     del arg0_1
2022-11-23T01:32:32.2975248Z     buf2 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2975399Z     triton_fused_squeeze_add_11.run(arg1_1, buf2, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.2975475Z     del arg1_1
2022-11-23T01:32:32.2975565Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.2975570Z 
2022-11-23T01:32:32.2975607Z 
2022-11-23T01:32:32.2975690Z if __name__ == "__main__":
2022-11-23T01:32:32.2975828Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.2975960Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.2976165Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2976367Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.2976490Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.2976495Z 
2022-11-23T01:32:32.2976567Z ok (0.358s)
2022-11-23T01:32:32.2976874Z   test_sum4_cuda (__main__.CudaTests) ... [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.2977188Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.2977403Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.2977664Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.2977942Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.2978262Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2978604Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2979248Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.2979629Z [2022-11-23 01:30:22,852] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749> 
2022-11-23T01:32:32.2979735Z  750           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.2979834Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.2979913Z               4 BINARY_ADD
2022-11-23T01:32:32.2980005Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:32.2980010Z 
2022-11-23T01:32:32.2980105Z 751           8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2980208Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2980352Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.2980449Z              14 CALL_METHOD              1
2022-11-23T01:32:32.2980546Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:32.2980551Z 
2022-11-23T01:32:32.2980645Z 752          18 LOAD_FAST                2 (c)
2022-11-23T01:32:32.2980743Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:32.2980818Z              22 BINARY_ADD
2022-11-23T01:32:32.2980914Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:32.2980921Z 
2022-11-23T01:32:32.2981014Z 753          26 LOAD_FAST                3 (d)
2022-11-23T01:32:32.2981114Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.2981254Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.2981348Z              32 CALL_METHOD              1
2022-11-23T01:32:32.2981447Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:32.2981452Z 
2022-11-23T01:32:32.2981539Z 754          36 LOAD_FAST                4 (e)
2022-11-23T01:32:32.2981633Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:32.2981714Z              40 BINARY_ADD
2022-11-23T01:32:32.2981807Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:32.2981812Z 
2022-11-23T01:32:32.2981905Z 755          44 LOAD_FAST                5 (f)
2022-11-23T01:32:32.2981999Z              46 LOAD_FAST                4 (e)
2022-11-23T01:32:32.2982190Z              48 LOAD_FAST                3 (d)
2022-11-23T01:32:32.2982311Z              50 LOAD_FAST                2 (c)
2022-11-23T01:32:32.2982397Z              52 LOAD_FAST                1 (b)
2022-11-23T01:32:32.2982493Z              54 BUILD_TUPLE              5
2022-11-23T01:32:32.2982575Z              56 RETURN_VALUE
2022-11-23T01:32:32.2982644Z  
2022-11-23T01:32:32.2982649Z 
2022-11-23T01:32:32.2982974Z [2022-11-23 01:30:22,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750
2022-11-23T01:32:32.2983193Z [2022-11-23 01:30:22,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.2983444Z [2022-11-23 01:30:22,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.2983732Z [2022-11-23 01:30:22,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2983967Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.2984287Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751
2022-11-23T01:32:32.2984502Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:32.2984754Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2985034Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2985352Z [2022-11-23 01:30:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2985591Z [2022-11-23 01:30:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.2985910Z [2022-11-23 01:30:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752
2022-11-23T01:32:32.2986130Z [2022-11-23 01:30:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:32.2986366Z [2022-11-23 01:30:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:32.2986652Z [2022-11-23 01:30:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2986891Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.2987210Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753
2022-11-23T01:32:32.2987426Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:32.2987676Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.2987961Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.2988278Z [2022-11-23 01:30:22,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.2988518Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:32.2988827Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754
2022-11-23T01:32:32.2989032Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:32.2989277Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:32.2989588Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.2989846Z [2022-11-23 01:30:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:32.2990162Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755
2022-11-23T01:32:32.2990549Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:32.2990825Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T01:32:32.2991522Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2991819Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2992150Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2992500Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.2992753Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2993129Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749>
2022-11-23T01:32:32.2993378Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.2993617Z [2022-11-23 01:30:22,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.2993881Z [2022-11-23 01:30:22,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.2994142Z [2022-11-23 01:30:22,863] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.2994336Z [2022-11-23 01:30:22,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.2994481Z  __compiled_fn_755 <eval_with_key>.4650 opcode, name, target, args, kwargs
2022-11-23T01:32:32.2994571Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.2994748Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.2994885Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.2995065Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:32.2995204Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.2995383Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:32.2995515Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T01:32:32.2995520Z 
2022-11-23T01:32:32.2995849Z [2022-11-23 01:30:22,864] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2995944Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.2996043Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2996137Z               4 BUILD_MAP                0
2022-11-23T01:32:32.2996238Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.2996330Z               8 DICT_MERGE               1
2022-11-23T01:32:32.2996430Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.2996512Z              12 RETURN_VALUE
2022-11-23T01:32:32.2996517Z 
2022-11-23T01:32:32.2996585Z  
2022-11-23T01:32:32.2996898Z [2022-11-23 01:30:22,864] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.2997056Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_755)
2022-11-23T01:32:32.2997183Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.2997282Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2997367Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.2997461Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.2997573Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.2997675Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2997773Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.2997857Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.2997967Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2998064Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.2998148Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.2998259Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2998350Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.2998434Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.2998547Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2998643Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.2998726Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.2998833Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.2998927Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.2999002Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.2999099Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.2999183Z              44 RETURN_VALUE
2022-11-23T01:32:32.2999188Z 
2022-11-23T01:32:32.2999256Z  
2022-11-23T01:32:32.2999446Z [2022-11-23 01:30:22,864] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.2999524Z  - 
2022-11-23T01:32:32.2999650Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.2999722Z             {
2022-11-23T01:32:32.2999862Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3000056Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3000185Z                 'obj_weakref': None
2022-11-23T01:32:32.3000410Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3000481Z             }
2022-11-23T01:32:32.3000552Z             
2022-11-23T01:32:32.3000630Z  - 
2022-11-23T01:32:32.3000751Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3000822Z             {
2022-11-23T01:32:32.3000968Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3001084Z                 'code': None,
2022-11-23T01:32:32.3001300Z                 'obj_weakref': <weakref at 0x7f1ffad319e0; to 'Tensor' at 0x7f2068176660>
2022-11-23T01:32:32.3001551Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3001621Z             }
2022-11-23T01:32:32.3001683Z             
2022-11-23T01:32:32.3001767Z  - 
2022-11-23T01:32:32.3001907Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3001986Z             {
2022-11-23T01:32:32.3002149Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3002351Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3002477Z                 'obj_weakref': None
2022-11-23T01:32:32.3002706Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3002780Z             }
2022-11-23T01:32:32.3002849Z             
2022-11-23T01:32:32.3002926Z  - 
2022-11-23T01:32:32.3003055Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3003129Z             {
2022-11-23T01:32:32.3003265Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3003492Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3003617Z                 'obj_weakref': None
2022-11-23T01:32:32.3003881Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3003973Z             }
2022-11-23T01:32:32.3004043Z             
2022-11-23T01:32:32.3004308Z [2022-11-23 01:30:22,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 737
2022-11-23T01:32:32.3005084Z [2022-11-23 01:30:22,888] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3005589Z [2022-11-23 01:30:22,891] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3005955Z [2022-11-23 01:30:23,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fy/cfyptcz6o6ehkozoxa7cungk2a3zhgtgztrqh65npxbw52l2zr3p.py
2022-11-23T01:32:32.3006218Z [2022-11-23 01:30:23,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 737
2022-11-23T01:32:32.3006459Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3006777Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3007003Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3007262Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3007545Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3007874Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3008222Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3008551Z [2022-11-23 01:30:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3008925Z [2022-11-23 01:30:23,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749> 
2022-11-23T01:32:32.3009029Z  750           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.3009121Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.3009203Z               4 BINARY_ADD
2022-11-23T01:32:32.3009301Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:32.3009310Z 
2022-11-23T01:32:32.3009409Z 751           8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3009513Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3009657Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3009752Z              14 CALL_METHOD              1
2022-11-23T01:32:32.3009842Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:32.3009847Z 
2022-11-23T01:32:32.3009946Z 752          18 LOAD_FAST                2 (c)
2022-11-23T01:32:32.3010042Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:32.3010123Z              22 BINARY_ADD
2022-11-23T01:32:32.3010218Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:32.3010223Z 
2022-11-23T01:32:32.3010318Z 753          26 LOAD_FAST                3 (d)
2022-11-23T01:32:32.3010419Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3010610Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3010718Z              32 CALL_METHOD              1
2022-11-23T01:32:32.3010814Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:32.3010818Z 
2022-11-23T01:32:32.3010912Z 754          36 LOAD_FAST                4 (e)
2022-11-23T01:32:32.3011006Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:32.3011087Z              40 BINARY_ADD
2022-11-23T01:32:32.3011182Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:32.3011187Z 
2022-11-23T01:32:32.3011284Z 755          44 LOAD_FAST                5 (f)
2022-11-23T01:32:32.3011370Z              46 LOAD_FAST                4 (e)
2022-11-23T01:32:32.3011463Z              48 LOAD_FAST                3 (d)
2022-11-23T01:32:32.3011561Z              50 LOAD_FAST                2 (c)
2022-11-23T01:32:32.3011654Z              52 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3011750Z              54 BUILD_TUPLE              5
2022-11-23T01:32:32.3011836Z              56 RETURN_VALUE
2022-11-23T01:32:32.3011908Z  
2022-11-23T01:32:32.3011915Z 
2022-11-23T01:32:32.3012231Z [2022-11-23 01:30:23,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750
2022-11-23T01:32:32.3012439Z [2022-11-23 01:30:23,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.3012700Z [2022-11-23 01:30:23,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.3013014Z [2022-11-23 01:30:23,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3013252Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.3013570Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751
2022-11-23T01:32:32.3013787Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:32.3014036Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3014317Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3014633Z [2022-11-23 01:30:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3014864Z [2022-11-23 01:30:23,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.3015177Z [2022-11-23 01:30:23,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752
2022-11-23T01:32:32.3015389Z [2022-11-23 01:30:23,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:32.3015635Z [2022-11-23 01:30:23,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:32.3015922Z [2022-11-23 01:30:23,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3016159Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.3016479Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753
2022-11-23T01:32:32.3016694Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:32.3016942Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3017221Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3017562Z [2022-11-23 01:30:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3017828Z [2022-11-23 01:30:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:32.3018138Z [2022-11-23 01:30:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754
2022-11-23T01:32:32.3018352Z [2022-11-23 01:30:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:32.3018596Z [2022-11-23 01:30:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:32.3019164Z [2022-11-23 01:30:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3019408Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:32.3019728Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755
2022-11-23T01:32:32.3019945Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:32.3020179Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T01:32:32.3020449Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3020745Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3021068Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3021425Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3021678Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3022085Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749>
2022-11-23T01:32:32.3022356Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3022598Z [2022-11-23 01:30:23,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3022855Z [2022-11-23 01:30:23,105] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3023110Z [2022-11-23 01:30:23,109] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3023300Z [2022-11-23 01:30:23,109] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3023446Z  __compiled_fn_756 <eval_with_key>.4656 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3023541Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3023719Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.3023857Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.3024040Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:32.3024182Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.3024353Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:32.3024485Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T01:32:32.3024491Z 
2022-11-23T01:32:32.3024824Z [2022-11-23 01:30:23,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3024930Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3025134Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3025274Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3025376Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3025472Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3025560Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3025643Z              12 RETURN_VALUE
2022-11-23T01:32:32.3025648Z 
2022-11-23T01:32:32.3025715Z  
2022-11-23T01:32:32.3026044Z [2022-11-23 01:30:23,109] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3026163Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_756)
2022-11-23T01:32:32.3026261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3026360Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3026445Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3026534Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3026651Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3026762Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3026859Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3026945Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3027055Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3027151Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3027227Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3027336Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3027434Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3027518Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.3027626Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3027723Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.3027808Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.3027910Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3028011Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.3028094Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.3028190Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.3028272Z              44 RETURN_VALUE
2022-11-23T01:32:32.3028277Z 
2022-11-23T01:32:32.3028343Z  
2022-11-23T01:32:32.3028532Z [2022-11-23 01:30:23,110] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3028602Z  - 
2022-11-23T01:32:32.3028728Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3028799Z             {
2022-11-23T01:32:32.3028942Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3029134Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3029258Z                 'obj_weakref': None
2022-11-23T01:32:32.3029487Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3029559Z             }
2022-11-23T01:32:32.3029625Z             
2022-11-23T01:32:32.3029701Z  - 
2022-11-23T01:32:32.3029833Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3029902Z             {
2022-11-23T01:32:32.3030049Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3030162Z                 'code': None,
2022-11-23T01:32:32.3030476Z                 'obj_weakref': <weakref at 0x7f1fe81deb60; to 'Tensor' at 0x7f2022f32c50>
2022-11-23T01:32:32.3030758Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3030842Z             }
2022-11-23T01:32:32.3030926Z             
2022-11-23T01:32:32.3031016Z  - 
2022-11-23T01:32:32.3031834Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3031909Z             {
2022-11-23T01:32:32.3032070Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3032320Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3032448Z                 'obj_weakref': None
2022-11-23T01:32:32.3032721Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3032794Z             }
2022-11-23T01:32:32.3032863Z             
2022-11-23T01:32:32.3032938Z  - 
2022-11-23T01:32:32.3033060Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3033131Z             {
2022-11-23T01:32:32.3033276Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3033496Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3033622Z                 'obj_weakref': None
2022-11-23T01:32:32.3033850Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3033920Z             }
2022-11-23T01:32:32.3033982Z             
2022-11-23T01:32:32.3034252Z [2022-11-23 01:30:23,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 738
2022-11-23T01:32:32.3035026Z [2022-11-23 01:30:23,131] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3035525Z [2022-11-23 01:30:23,134] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf4'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3035532Z 
2022-11-23T01:32:32.3035634Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3035708Z import torch
2022-11-23T01:32:32.3035787Z import random
2022-11-23T01:32:32.3035912Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3036045Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3036053Z 
2022-11-23T01:32:32.3036140Z aten = torch.ops.aten
2022-11-23T01:32:32.3036275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3036375Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3036380Z 
2022-11-23T01:32:32.3036456Z import triton
2022-11-23T01:32:32.3036552Z import triton.language as tl
2022-11-23T01:32:32.3036686Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3036831Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3036837Z 
2022-11-23T01:32:32.3036841Z 
2022-11-23T01:32:32.3037020Z triton_fused_add_sum_1_add_10 = async_compile.triton('''
2022-11-23T01:32:32.3037096Z import triton
2022-11-23T01:32:32.3037183Z import triton.language as tl
2022-11-23T01:32:32.3037299Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3037405Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3037542Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3037674Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3037679Z 
2022-11-23T01:32:32.3037771Z @reduction(size_hints=[128, 8],
2022-11-23T01:32:32.3037888Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3037969Z               filename=__file__,
2022-11-23T01:32:32.3038328Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.3038404Z @triton.jit
2022-11-23T01:32:32.3038597Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3038675Z     xnumel = 128
2022-11-23T01:32:32.3038750Z     rnumel = 8
2022-11-23T01:32:32.3038850Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3039017Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3039098Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3039247Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3039321Z     x0 = xindex
2022-11-23T01:32:32.3039429Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3039520Z         rindex = roffset + rbase
2022-11-23T01:32:32.3039607Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3039680Z         r1 = rindex
2022-11-23T01:32:32.3039895Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3039972Z         tmp1 = 1
2022-11-23T01:32:32.3040055Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3040217Z         tl.store(out_ptr0 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp2, xmask & rmask)
2022-11-23T01:32:32.3040338Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3040451Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3040545Z         rindex = roffset + rbase
2022-11-23T01:32:32.3040625Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3040702Z         r1 = rindex
2022-11-23T01:32:32.3040926Z         tmp3 = tl.load(out_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3041052Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:32.3041172Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3041273Z     tl.store(out_ptr1 + x0, tmp4, xmask)
2022-11-23T01:32:32.3041345Z     tmp5 = 3
2022-11-23T01:32:32.3041420Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.3041559Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.3041647Z ''')
2022-11-23T01:32:32.3041652Z 
2022-11-23T01:32:32.3041657Z 
2022-11-23T01:32:32.3041854Z triton_fused_add_sum_1_add_2_add_1_sum_21 = async_compile.triton('''
2022-11-23T01:32:32.3041932Z import triton
2022-11-23T01:32:32.3042027Z import triton.language as tl
2022-11-23T01:32:32.3042146Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3042250Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3042381Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3042509Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3042514Z 
2022-11-23T01:32:32.3042605Z @reduction(size_hints=[16, 8],
2022-11-23T01:32:32.3042724Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3042812Z               filename=__file__,
2022-11-23T01:32:32.3043166Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3043243Z @triton.jit
2022-11-23T01:32:32.3043423Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3043492Z     xnumel = 16
2022-11-23T01:32:32.3043567Z     rnumel = 8
2022-11-23T01:32:32.3043671Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3043811Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3043896Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3044020Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3044092Z     x0 = xindex
2022-11-23T01:32:32.3044206Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3044320Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3044411Z         rindex = roffset + rbase
2022-11-23T01:32:32.3044499Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3044573Z         r1 = rindex
2022-11-23T01:32:32.3044796Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3044921Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.3045030Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3045131Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:32.3045237Z     tmp2 = 5
2022-11-23T01:32:32.3045342Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3045482Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3045570Z ''')
2022-11-23T01:32:32.3045575Z 
2022-11-23T01:32:32.3045580Z 
2022-11-23T01:32:32.3045676Z async_compile.wait(globals())
2022-11-23T01:32:32.3045747Z del async_compile
2022-11-23T01:32:32.3045762Z 
2022-11-23T01:32:32.3045831Z def call(args):
2022-11-23T01:32:32.3045907Z     arg0_1, = args
2022-11-23T01:32:32.3045985Z     args.clear()
2022-11-23T01:32:32.3046206Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3046414Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3046616Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3046708Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3046868Z     triton_fused_add_sum_1_add_10.run(arg0_1, buf0, buf1, buf2, 128, 8, grid=grid(128), stream=stream0)
2022-11-23T01:32:32.3046945Z     del arg0_1
2022-11-23T01:32:32.3047147Z     buf3 = empty_strided((1, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3047348Z     buf4 = empty_strided((1, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3047515Z     triton_fused_add_sum_1_add_2_add_1_sum_21.run(buf2, buf3, buf4, 16, 8, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.3047619Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T01:32:32.3047625Z 
2022-11-23T01:32:32.3047630Z 
2022-11-23T01:32:32.3047712Z if __name__ == "__main__":
2022-11-23T01:32:32.3047834Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3047957Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3048176Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3048292Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3048297Z 
2022-11-23T01:32:32.3048660Z [2022-11-23 01:30:23,241] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2k/c2k2ly2js3d2eknrpkagpjnbh3wrk35l5reog5pbgl3ezyvzyqv3.py
2022-11-23T01:32:32.3048927Z [2022-11-23 01:30:23,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 738
2022-11-23T01:32:32.3048933Z 
2022-11-23T01:32:32.3049033Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3049109Z import torch
2022-11-23T01:32:32.3049185Z import random
2022-11-23T01:32:32.3049300Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3049427Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3049432Z 
2022-11-23T01:32:32.3049515Z aten = torch.ops.aten
2022-11-23T01:32:32.3049655Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3049755Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3049760Z 
2022-11-23T01:32:32.3049836Z import triton
2022-11-23T01:32:32.3049933Z import triton.language as tl
2022-11-23T01:32:32.3050065Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3050202Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3050207Z 
2022-11-23T01:32:32.3050219Z 
2022-11-23T01:32:32.3050386Z triton_fused_add_sum_1_add_10 = async_compile.triton('''
2022-11-23T01:32:32.3050466Z import triton
2022-11-23T01:32:32.3050560Z import triton.language as tl
2022-11-23T01:32:32.3050677Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3050780Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3050915Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3051045Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3051049Z 
2022-11-23T01:32:32.3051135Z @reduction(size_hints=[128, 8],
2022-11-23T01:32:32.3051253Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3051340Z               filename=__file__,
2022-11-23T01:32:32.3051730Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.3051824Z @triton.jit
2022-11-23T01:32:32.3052015Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3052091Z     xnumel = 128
2022-11-23T01:32:32.3052164Z     rnumel = 8
2022-11-23T01:32:32.3052257Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3052399Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3052489Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3052614Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3052687Z     x0 = xindex
2022-11-23T01:32:32.3052794Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3052886Z         rindex = roffset + rbase
2022-11-23T01:32:32.3052969Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3053045Z         r1 = rindex
2022-11-23T01:32:32.3053285Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3053359Z         tmp1 = 1
2022-11-23T01:32:32.3053441Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3053604Z         tl.store(out_ptr0 + (r1 + (8*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp2, xmask & rmask)
2022-11-23T01:32:32.3053725Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3053829Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3053923Z         rindex = roffset + rbase
2022-11-23T01:32:32.3054011Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3054084Z         r1 = rindex
2022-11-23T01:32:32.3054328Z         tmp3 = tl.load(out_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3054454Z         _tmp4 = tl.where(xmask & rmask, _tmp4 + tmp3, _tmp4)
2022-11-23T01:32:32.3054574Z     tmp4 = tl.reshape(tl.sum(_tmp4, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3054669Z     tl.store(out_ptr1 + x0, tmp4, xmask)
2022-11-23T01:32:32.3054742Z     tmp5 = 3
2022-11-23T01:32:32.3054823Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.3054962Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, xmask)
2022-11-23T01:32:32.3055050Z ''')
2022-11-23T01:32:32.3055056Z 
2022-11-23T01:32:32.3055060Z 
2022-11-23T01:32:32.3055254Z triton_fused_add_2_add_sum_1_sum_2_add_11 = async_compile.triton('''
2022-11-23T01:32:32.3055331Z import triton
2022-11-23T01:32:32.3055418Z import triton.language as tl
2022-11-23T01:32:32.3055534Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3055640Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3055774Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3055903Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3055909Z 
2022-11-23T01:32:32.3056004Z @reduction(size_hints=[16, 8],
2022-11-23T01:32:32.3056123Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3056215Z               filename=__file__,
2022-11-23T01:32:32.3056551Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3056628Z @triton.jit
2022-11-23T01:32:32.3056814Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3056889Z     xnumel = 16
2022-11-23T01:32:32.3056963Z     rnumel = 8
2022-11-23T01:32:32.3057063Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3057200Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3057278Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3057402Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3057475Z     x0 = xindex
2022-11-23T01:32:32.3057644Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3057774Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3057864Z         rindex = roffset + rbase
2022-11-23T01:32:32.3057955Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3058022Z         r1 = rindex
2022-11-23T01:32:32.3058260Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3058383Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.3058501Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3058600Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:32.3058674Z     tmp2 = 5
2022-11-23T01:32:32.3058756Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3059126Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3059211Z ''')
2022-11-23T01:32:32.3059216Z 
2022-11-23T01:32:32.3059220Z 
2022-11-23T01:32:32.3059320Z async_compile.wait(globals())
2022-11-23T01:32:32.3059398Z del async_compile
2022-11-23T01:32:32.3059406Z 
2022-11-23T01:32:32.3059484Z def call(args):
2022-11-23T01:32:32.3059559Z     arg0_1, = args
2022-11-23T01:32:32.3059639Z     args.clear()
2022-11-23T01:32:32.3059861Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3060063Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3060265Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3060357Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3060520Z     triton_fused_add_sum_1_add_10.run(arg0_1, buf0, buf1, buf2, 128, 8, grid=grid(128), stream=stream0)
2022-11-23T01:32:32.3060594Z     del arg0_1
2022-11-23T01:32:32.3060792Z     buf3 = empty_strided((1, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3060995Z     buf4 = empty_strided((1, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3061160Z     triton_fused_add_2_add_sum_1_sum_2_add_11.run(buf2, buf3, buf4, 16, 8, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.3061260Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T01:32:32.3061273Z 
2022-11-23T01:32:32.3061277Z 
2022-11-23T01:32:32.3061353Z if __name__ == "__main__":
2022-11-23T01:32:32.3061475Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3061606Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3061824Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3061943Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3061948Z 
2022-11-23T01:32:32.3062024Z ok (0.394s)
2022-11-23T01:32:32.3062376Z   test_sum5_cuda (__main__.CudaTests) ... [2022-11-23 01:30:23,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3062695Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3062915Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3063171Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3063450Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3063771Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3064113Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3064506Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3064903Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760> 
2022-11-23T01:32:32.3065004Z  761           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.3065101Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.3065175Z               4 BINARY_ADD
2022-11-23T01:32:32.3065273Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:32.3065278Z 
2022-11-23T01:32:32.3065373Z 762           8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3065478Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3065622Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3065717Z              14 CALL_METHOD              1
2022-11-23T01:32:32.3065816Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:32.3065821Z 
2022-11-23T01:32:32.3065920Z 763          18 LOAD_FAST                2 (c)
2022-11-23T01:32:32.3066011Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:32.3066093Z              22 BINARY_ADD
2022-11-23T01:32:32.3066189Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:32.3066194Z 
2022-11-23T01:32:32.3066286Z 764          26 LOAD_FAST                3 (d)
2022-11-23T01:32:32.3066387Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3066531Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3066627Z              32 CALL_METHOD              1
2022-11-23T01:32:32.3066723Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:32.3066728Z 
2022-11-23T01:32:32.3066815Z 765          36 LOAD_FAST                4 (e)
2022-11-23T01:32:32.3066912Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:32.3066993Z              40 BINARY_ADD
2022-11-23T01:32:32.3067087Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:32.3067092Z 
2022-11-23T01:32:32.3067187Z 766          44 LOAD_FAST                5 (f)
2022-11-23T01:32:32.3067289Z              46 BUILD_TUPLE              1
2022-11-23T01:32:32.3067373Z              48 RETURN_VALUE
2022-11-23T01:32:32.3067434Z  
2022-11-23T01:32:32.3067447Z 
2022-11-23T01:32:32.3067754Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761
2022-11-23T01:32:32.3067970Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.3068211Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.3068499Z [2022-11-23 01:30:23,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3068739Z [2022-11-23 01:30:23,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.3069059Z [2022-11-23 01:30:23,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762
2022-11-23T01:32:32.3069274Z [2022-11-23 01:30:23,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:32.3069522Z [2022-11-23 01:30:23,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3069804Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3070113Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3070427Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.3070835Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763
2022-11-23T01:32:32.3071452Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:32.3071736Z [2022-11-23 01:30:23,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:32.3072023Z [2022-11-23 01:30:23,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3072262Z [2022-11-23 01:30:23,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.3072578Z [2022-11-23 01:30:23,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764
2022-11-23T01:32:32.3072793Z [2022-11-23 01:30:23,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:32.3073031Z [2022-11-23 01:30:23,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3073314Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3073633Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3073871Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:32.3074184Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765
2022-11-23T01:32:32.3074395Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:32.3074637Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:32.3074924Z [2022-11-23 01:30:23,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3075163Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:32.3075480Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766
2022-11-23T01:32:32.3075687Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:32.3075934Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.3076184Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3076562Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760>
2022-11-23T01:32:32.3076814Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3077057Z [2022-11-23 01:30:23,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3077319Z [2022-11-23 01:30:23,252] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3077575Z [2022-11-23 01:30:23,256] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3077770Z [2022-11-23 01:30:23,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3077906Z  __compiled_fn_757 <eval_with_key>.4662 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3078003Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3078181Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.3078319Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.3078501Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:32.3078668Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.3078846Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:32.3078972Z output, output, output, ((add_2,),), {}
2022-11-23T01:32:32.3078977Z 
2022-11-23T01:32:32.3079303Z [2022-11-23 01:30:23,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3079406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3079505Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3079601Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3079701Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3079794Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3079891Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3079966Z              12 RETURN_VALUE
2022-11-23T01:32:32.3079979Z 
2022-11-23T01:32:32.3080038Z  
2022-11-23T01:32:32.3080368Z [2022-11-23 01:30:23,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3080490Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_757)
2022-11-23T01:32:32.3080588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3080687Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3080774Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3080869Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3080974Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3081086Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3081184Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3081268Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3081363Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.3081446Z              20 RETURN_VALUE
2022-11-23T01:32:32.3081451Z 
2022-11-23T01:32:32.3081518Z  
2022-11-23T01:32:32.3081703Z [2022-11-23 01:30:23,257] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3081783Z  - 
2022-11-23T01:32:32.3081913Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3081983Z             {
2022-11-23T01:32:32.3082131Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3082325Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3082452Z                 'obj_weakref': None
2022-11-23T01:32:32.3082679Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3082743Z             }
2022-11-23T01:32:32.3082811Z             
2022-11-23T01:32:32.3082887Z  - 
2022-11-23T01:32:32.3083018Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3083089Z             {
2022-11-23T01:32:32.3083240Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3083347Z                 'code': None,
2022-11-23T01:32:32.3083569Z                 'obj_weakref': <weakref at 0x7f1fd9bcee30; to 'Tensor' at 0x7f2151f18360>
2022-11-23T01:32:32.3083826Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3083897Z             }
2022-11-23T01:32:32.3083966Z             
2022-11-23T01:32:32.3084044Z  - 
2022-11-23T01:32:32.3084182Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3084245Z             {
2022-11-23T01:32:32.3084387Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3084569Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3084698Z                 'obj_weakref': None
2022-11-23T01:32:32.3084937Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3085008Z             }
2022-11-23T01:32:32.3085078Z             
2022-11-23T01:32:32.3085147Z  - 
2022-11-23T01:32:32.3085275Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3085375Z             {
2022-11-23T01:32:32.3085520Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3085767Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3085892Z                 'obj_weakref': None
2022-11-23T01:32:32.3086119Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3086190Z             }
2022-11-23T01:32:32.3086252Z             
2022-11-23T01:32:32.3086517Z [2022-11-23 01:30:23,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 739
2022-11-23T01:32:32.3086771Z [2022-11-23 01:30:23,277] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3087282Z [2022-11-23 01:30:23,279] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3087644Z [2022-11-23 01:30:23,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/62/c625rvnh2dmhdmarsrsgifrhxy7orcra4lxwnf63enbczgvgkbgm.py
2022-11-23T01:32:32.3087915Z [2022-11-23 01:30:23,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 739
2022-11-23T01:32:32.3088160Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3088471Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3088694Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3088939Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3089221Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3089541Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3089884Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3090211Z [2022-11-23 01:30:23,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3090585Z [2022-11-23 01:30:23,471] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760> 
2022-11-23T01:32:32.3090687Z  761           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.3090785Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.3090869Z               4 BINARY_ADD
2022-11-23T01:32:32.3090960Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:32.3090979Z 
2022-11-23T01:32:32.3091067Z 762           8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3091169Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3091312Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3091407Z              14 CALL_METHOD              1
2022-11-23T01:32:32.3091506Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:32.3091512Z 
2022-11-23T01:32:32.3091608Z 763          18 LOAD_FAST                2 (c)
2022-11-23T01:32:32.3091703Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:32.3091775Z              22 BINARY_ADD
2022-11-23T01:32:32.3091872Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:32.3091877Z 
2022-11-23T01:32:32.3091971Z 764          26 LOAD_FAST                3 (d)
2022-11-23T01:32:32.3092074Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3092247Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3092366Z              32 CALL_METHOD              1
2022-11-23T01:32:32.3092461Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:32.3092466Z 
2022-11-23T01:32:32.3092561Z 765          36 LOAD_FAST                4 (e)
2022-11-23T01:32:32.3092648Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:32.3092727Z              40 BINARY_ADD
2022-11-23T01:32:32.3092821Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:32.3092826Z 
2022-11-23T01:32:32.3092920Z 766          44 LOAD_FAST                5 (f)
2022-11-23T01:32:32.3093016Z              46 BUILD_TUPLE              1
2022-11-23T01:32:32.3093100Z              48 RETURN_VALUE
2022-11-23T01:32:32.3093168Z  
2022-11-23T01:32:32.3093173Z 
2022-11-23T01:32:32.3093486Z [2022-11-23 01:30:23,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761
2022-11-23T01:32:32.3093705Z [2022-11-23 01:30:23,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.3093955Z [2022-11-23 01:30:23,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.3094246Z [2022-11-23 01:30:23,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3094485Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:32.3094805Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762
2022-11-23T01:32:32.3095023Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:32.3095271Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3095554Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3095872Z [2022-11-23 01:30:23,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3096104Z [2022-11-23 01:30:23,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:32.3096415Z [2022-11-23 01:30:23,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763
2022-11-23T01:32:32.3096627Z [2022-11-23 01:30:23,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:32.3096872Z [2022-11-23 01:30:23,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:32.3097158Z [2022-11-23 01:30:23,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3097401Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:32.3097719Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764
2022-11-23T01:32:32.3097935Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:32.3098183Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:32.3098455Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3098772Z [2022-11-23 01:30:23,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3099126Z [2022-11-23 01:30:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:32.3099492Z [2022-11-23 01:30:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765
2022-11-23T01:32:32.3099748Z [2022-11-23 01:30:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:32.3099991Z [2022-11-23 01:30:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:32.3100277Z [2022-11-23 01:30:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3100515Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:32.3100834Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766
2022-11-23T01:32:32.3101049Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:32.3101291Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.3101543Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3101922Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f418f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760>
2022-11-23T01:32:32.3102168Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3102406Z [2022-11-23 01:30:23,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3102666Z [2022-11-23 01:30:23,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3102923Z [2022-11-23 01:30:23,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3103125Z [2022-11-23 01:30:23,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3103271Z  __compiled_fn_758 <eval_with_key>.4668 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3103360Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3103539Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.3103677Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:32.3103857Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:32.3103998Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:32.3104175Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:32.3104279Z output, output, output, ((add_2,),), {}
2022-11-23T01:32:32.3104284Z 
2022-11-23T01:32:32.3104616Z [2022-11-23 01:30:23,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3104711Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3104811Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3104910Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3105010Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3105103Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3105200Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3105282Z              12 RETURN_VALUE
2022-11-23T01:32:32.3105287Z 
2022-11-23T01:32:32.3105346Z  
2022-11-23T01:32:32.3105670Z [2022-11-23 01:30:23,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3105790Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_758)
2022-11-23T01:32:32.3105889Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3105988Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3106071Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3106206Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3106319Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3106443Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3106539Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3106623Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3106719Z              18 BUILD_TUPLE              1
2022-11-23T01:32:32.3106801Z              20 RETURN_VALUE
2022-11-23T01:32:32.3106807Z 
2022-11-23T01:32:32.3106873Z  
2022-11-23T01:32:32.3107062Z [2022-11-23 01:30:23,482] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3107132Z  - 
2022-11-23T01:32:32.3107258Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3107329Z             {
2022-11-23T01:32:32.3107475Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3107667Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3107795Z                 'obj_weakref': None
2022-11-23T01:32:32.3108021Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3108086Z             }
2022-11-23T01:32:32.3108157Z             
2022-11-23T01:32:32.3108234Z  - 
2022-11-23T01:32:32.3108367Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3108436Z             {
2022-11-23T01:32:32.3108584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3108698Z                 'code': None,
2022-11-23T01:32:32.3108906Z                 'obj_weakref': <weakref at 0x7f1f680ac360; to 'Tensor' at 0x7f1fe81de3e0>
2022-11-23T01:32:32.3109158Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3109230Z             }
2022-11-23T01:32:32.3109299Z             
2022-11-23T01:32:32.3109376Z  - 
2022-11-23T01:32:32.3109516Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3109586Z             {
2022-11-23T01:32:32.3109721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3109902Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3110028Z                 'obj_weakref': None
2022-11-23T01:32:32.3110350Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3110435Z             }
2022-11-23T01:32:32.3110517Z             
2022-11-23T01:32:32.3110609Z  - 
2022-11-23T01:32:32.3110742Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3110812Z             {
2022-11-23T01:32:32.3110954Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3111175Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3111298Z                 'obj_weakref': None
2022-11-23T01:32:32.3111521Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3111590Z             }
2022-11-23T01:32:32.3111654Z             
2022-11-23T01:32:32.3111914Z [2022-11-23 01:30:23,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 740
2022-11-23T01:32:32.3112169Z [2022-11-23 01:30:23,499] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3112669Z [2022-11-23 01:30:23,500] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3112675Z 
2022-11-23T01:32:32.3112778Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3112854Z import torch
2022-11-23T01:32:32.3112930Z import random
2022-11-23T01:32:32.3113052Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3113179Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3113184Z 
2022-11-23T01:32:32.3113262Z aten = torch.ops.aten
2022-11-23T01:32:32.3113443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3113562Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3113567Z 
2022-11-23T01:32:32.3113643Z import triton
2022-11-23T01:32:32.3113737Z import triton.language as tl
2022-11-23T01:32:32.3113866Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3114011Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3114017Z 
2022-11-23T01:32:32.3114021Z 
2022-11-23T01:32:32.3114187Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3114255Z import triton
2022-11-23T01:32:32.3114348Z import triton.language as tl
2022-11-23T01:32:32.3114463Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3114567Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3114702Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3114830Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3114835Z 
2022-11-23T01:32:32.3114932Z @reduction(size_hints=[256, 16],
2022-11-23T01:32:32.3115046Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3115133Z               filename=__file__,
2022-11-23T01:32:32.3115465Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3115540Z @triton.jit
2022-11-23T01:32:32.3115712Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3115789Z     xnumel = 136
2022-11-23T01:32:32.3115865Z     rnumel = 9
2022-11-23T01:32:32.3115964Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3116096Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3116184Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3116306Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3116382Z     x0 = xindex
2022-11-23T01:32:32.3116504Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3116614Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3116704Z         rindex = roffset + rbase
2022-11-23T01:32:32.3116784Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3116858Z         r1 = rindex
2022-11-23T01:32:32.3117077Z         tmp0 = tl.load(in_ptr0 + (r1 + (9*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3117151Z         tmp1 = 1
2022-11-23T01:32:32.3117236Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3117361Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3117479Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3117572Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.3117658Z ''')
2022-11-23T01:32:32.3117664Z 
2022-11-23T01:32:32.3117669Z 
2022-11-23T01:32:32.3117863Z triton_fused_add_2_add_1_sum_1_add_sum_21 = async_compile.triton('''
2022-11-23T01:32:32.3117939Z import triton
2022-11-23T01:32:32.3118036Z import triton.language as tl
2022-11-23T01:32:32.3118155Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3118262Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3118389Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3118520Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3118525Z 
2022-11-23T01:32:32.3118618Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.3118735Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3118822Z               filename=__file__,
2022-11-23T01:32:32.3119149Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3119224Z @triton.jit
2022-11-23T01:32:32.3119398Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3119467Z     xnumel = 17
2022-11-23T01:32:32.3119583Z     rnumel = 8
2022-11-23T01:32:32.3119704Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3119843Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3119928Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3120050Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3120124Z     x0 = xindex
2022-11-23T01:32:32.3120236Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3120345Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3120434Z         rindex = roffset + rbase
2022-11-23T01:32:32.3120526Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3120601Z         r1 = rindex
2022-11-23T01:32:32.3120825Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3120899Z         tmp1 = 3
2022-11-23T01:32:32.3120975Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3121102Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3121221Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3121297Z     tmp4 = 5
2022-11-23T01:32:32.3121380Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.3121526Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.3121615Z ''')
2022-11-23T01:32:32.3121621Z 
2022-11-23T01:32:32.3121625Z 
2022-11-23T01:32:32.3121713Z async_compile.wait(globals())
2022-11-23T01:32:32.3121792Z del async_compile
2022-11-23T01:32:32.3121797Z 
2022-11-23T01:32:32.3121878Z def call(args):
2022-11-23T01:32:32.3121954Z     arg0_1, = args
2022-11-23T01:32:32.3122032Z     args.clear()
2022-11-23T01:32:32.3122241Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3122334Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3122483Z     triton_fused_add_sum_10.run(arg0_1, buf0, 136, 9, grid=grid(136), stream=stream0)
2022-11-23T01:32:32.3122551Z     del arg0_1
2022-11-23T01:32:32.3122756Z     buf1 = empty_strided((1, 17), (17, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3122851Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:32.3123011Z     triton_fused_add_2_add_1_sum_1_add_sum_21.run(buf2, buf0, 17, 8, grid=grid(17), stream=stream0)
2022-11-23T01:32:32.3123093Z     return (buf2, )
2022-11-23T01:32:32.3123098Z 
2022-11-23T01:32:32.3123102Z 
2022-11-23T01:32:32.3123185Z if __name__ == "__main__":
2022-11-23T01:32:32.3123309Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3123441Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3123653Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3123768Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3123773Z 
2022-11-23T01:32:32.3124136Z [2022-11-23 01:30:23,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uz/cuzk3uj74fkrkzillvriolks4brk7kku2pwlkcodqp2tb3swa3jy.py
2022-11-23T01:32:32.3124408Z [2022-11-23 01:30:23,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 740
2022-11-23T01:32:32.3124415Z 
2022-11-23T01:32:32.3124515Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3124591Z import torch
2022-11-23T01:32:32.3124670Z import random
2022-11-23T01:32:32.3124793Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3124913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3124918Z 
2022-11-23T01:32:32.3125003Z aten = torch.ops.aten
2022-11-23T01:32:32.3125144Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3125244Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3125249Z 
2022-11-23T01:32:32.3125325Z import triton
2022-11-23T01:32:32.3125420Z import triton.language as tl
2022-11-23T01:32:32.3125548Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3125685Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3125724Z 
2022-11-23T01:32:32.3125748Z 
2022-11-23T01:32:32.3125905Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3125982Z import triton
2022-11-23T01:32:32.3126077Z import triton.language as tl
2022-11-23T01:32:32.3126193Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3126300Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3126439Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3126568Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3126573Z 
2022-11-23T01:32:32.3126660Z @reduction(size_hints=[256, 16],
2022-11-23T01:32:32.3126779Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3126866Z               filename=__file__,
2022-11-23T01:32:32.3127193Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3127271Z @triton.jit
2022-11-23T01:32:32.3127444Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3127526Z     xnumel = 136
2022-11-23T01:32:32.3127600Z     rnumel = 9
2022-11-23T01:32:32.3127693Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3127831Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3127917Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3128038Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3128112Z     x0 = xindex
2022-11-23T01:32:32.3128232Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3128341Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3128425Z         rindex = roffset + rbase
2022-11-23T01:32:32.3128514Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3128588Z         r1 = rindex
2022-11-23T01:32:32.3128835Z         tmp0 = tl.load(in_ptr0 + (r1 + (9*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3128912Z         tmp1 = 1
2022-11-23T01:32:32.3128995Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3129120Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3129229Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3129330Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.3129417Z ''')
2022-11-23T01:32:32.3129422Z 
2022-11-23T01:32:32.3129427Z 
2022-11-23T01:32:32.3129622Z triton_fused_sum_1_add_add_2_sum_2_add_11 = async_compile.triton('''
2022-11-23T01:32:32.3129700Z import triton
2022-11-23T01:32:32.3129795Z import triton.language as tl
2022-11-23T01:32:32.3129912Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3130009Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3130143Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3130272Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3130277Z 
2022-11-23T01:32:32.3130372Z @reduction(size_hints=[32, 8],
2022-11-23T01:32:32.3130491Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3130578Z               filename=__file__,
2022-11-23T01:32:32.3130903Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3130977Z @triton.jit
2022-11-23T01:32:32.3131144Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3131222Z     xnumel = 17
2022-11-23T01:32:32.3131300Z     rnumel = 8
2022-11-23T01:32:32.3131400Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3131539Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3131626Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3131749Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3131815Z     x0 = xindex
2022-11-23T01:32:32.3131966Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3132095Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3132187Z         rindex = roffset + rbase
2022-11-23T01:32:32.3132277Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3132351Z         r1 = rindex
2022-11-23T01:32:32.3132595Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3132662Z         tmp1 = 3
2022-11-23T01:32:32.3132747Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3132870Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3132987Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3133059Z     tmp4 = 5
2022-11-23T01:32:32.3133139Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.3133281Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.3133361Z ''')
2022-11-23T01:32:32.3133375Z 
2022-11-23T01:32:32.3133380Z 
2022-11-23T01:32:32.3133470Z async_compile.wait(globals())
2022-11-23T01:32:32.3133553Z del async_compile
2022-11-23T01:32:32.3133558Z 
2022-11-23T01:32:32.3133637Z def call(args):
2022-11-23T01:32:32.3133715Z     arg0_1, = args
2022-11-23T01:32:32.3133792Z     args.clear()
2022-11-23T01:32:32.3134002Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3134094Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3134233Z     triton_fused_add_sum_10.run(arg0_1, buf0, 136, 9, grid=grid(136), stream=stream0)
2022-11-23T01:32:32.3134309Z     del arg0_1
2022-11-23T01:32:32.3134509Z     buf1 = empty_strided((1, 17), (17, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3134602Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:32.3134767Z     triton_fused_sum_1_add_add_2_sum_2_add_11.run(buf2, buf0, 17, 8, grid=grid(17), stream=stream0)
2022-11-23T01:32:32.3134845Z     return (buf2, )
2022-11-23T01:32:32.3134850Z 
2022-11-23T01:32:32.3134855Z 
2022-11-23T01:32:32.3134940Z if __name__ == "__main__":
2022-11-23T01:32:32.3135064Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3135192Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3135413Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3135528Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3135533Z 
2022-11-23T01:32:32.3135606Z ok (0.367s)
2022-11-23T01:32:32.3135918Z   test_sum_dtype_cuda (__main__.CudaTests) ... [2022-11-23 01:30:23,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3136235Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3136461Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3136719Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3137003Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3137313Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3137655Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3137974Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3138342Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866> 
2022-11-23T01:32:32.3138475Z  867           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3138599Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3138699Z               4 LOAD_ATTR                0 (sum)
2022-11-23T01:32:32.3138961Z               6 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.3139065Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.3139157Z              10 LOAD_ATTR                2 (double)
2022-11-23T01:32:32.3139312Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.3139416Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3139505Z              16 BINARY_MULTIPLY
2022-11-23T01:32:32.3139602Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3139701Z              20 LOAD_ATTR                0 (sum)
2022-11-23T01:32:32.3139802Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.3139892Z              24 LOAD_ATTR                2 (double)
2022-11-23T01:32:32.3140046Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.3140148Z              28 CALL_FUNCTION_KW         1
2022-11-23T01:32:32.3140229Z              30 BINARY_ADD
2022-11-23T01:32:32.3140312Z              32 RETURN_VALUE
2022-11-23T01:32:32.3140380Z  
2022-11-23T01:32:32.3140388Z 
2022-11-23T01:32:32.3140702Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867
2022-11-23T01:32:32.3140920Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.3141156Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3141428Z [2022-11-23 01:30:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3141731Z [2022-11-23 01:30:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3142073Z [2022-11-23 01:30:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3142561Z [2022-11-23 01:30:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3142944Z [2022-11-23 01:30:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:32.3143365Z [2022-11-23 01:30:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:32.3143648Z [2022-11-23 01:30:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3143892Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3144160Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3144470Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3144913Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3145298Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T01:32:32.3145715Z [2022-11-23 01:30:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:32.3145986Z [2022-11-23 01:30:23,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3146235Z [2022-11-23 01:30:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3146606Z [2022-11-23 01:30:23,618] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866>
2022-11-23T01:32:32.3146854Z [2022-11-23 01:30:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3147096Z [2022-11-23 01:30:23,618] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3147353Z [2022-11-23 01:30:23,619] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3147610Z [2022-11-23 01:30:23,622] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3147803Z [2022-11-23 01:30:23,623] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3147940Z  __compiled_fn_759 <eval_with_key>.4674 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3148037Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3148220Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T01:32:32.3148403Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T01:32:32.3148582Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T01:32:32.3148763Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:32.3148868Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3148874Z 
2022-11-23T01:32:32.3149203Z [2022-11-23 01:30:23,623] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3149297Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3149397Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3149491Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3149593Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3149689Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3149785Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3149869Z              12 RETURN_VALUE
2022-11-23T01:32:32.3149874Z 
2022-11-23T01:32:32.3149934Z  
2022-11-23T01:32:32.3150312Z [2022-11-23 01:30:23,623] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3150448Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_759)
2022-11-23T01:32:32.3150564Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3150675Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3150771Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3150878Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3150981Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3151055Z              12 RETURN_VALUE
2022-11-23T01:32:32.3151061Z 
2022-11-23T01:32:32.3151127Z  
2022-11-23T01:32:32.3151315Z [2022-11-23 01:30:23,624] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3151393Z  - 
2022-11-23T01:32:32.3151519Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3151593Z             {
2022-11-23T01:32:32.3151737Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3151925Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3152095Z                 'obj_weakref': None
2022-11-23T01:32:32.3152324Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3152419Z             }
2022-11-23T01:32:32.3152487Z             
2022-11-23T01:32:32.3152566Z  - 
2022-11-23T01:32:32.3152695Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3152757Z             {
2022-11-23T01:32:32.3152905Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3153017Z                 'code': None,
2022-11-23T01:32:32.3153231Z                 'obj_weakref': <weakref at 0x7f1ffad50a40; to 'Tensor' at 0x7f2023389850>
2022-11-23T01:32:32.3153486Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3153555Z             }
2022-11-23T01:32:32.3153623Z             
2022-11-23T01:32:32.3153692Z  - 
2022-11-23T01:32:32.3153828Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3153897Z             {
2022-11-23T01:32:32.3154043Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3154222Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3154347Z                 'obj_weakref': None
2022-11-23T01:32:32.3154582Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3154644Z             }
2022-11-23T01:32:32.3154713Z             
2022-11-23T01:32:32.3154789Z  - 
2022-11-23T01:32:32.3154919Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3154988Z             {
2022-11-23T01:32:32.3155131Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3155353Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3155470Z                 'obj_weakref': None
2022-11-23T01:32:32.3155698Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3155766Z             }
2022-11-23T01:32:32.3155839Z             
2022-11-23T01:32:32.3155915Z  - 
2022-11-23T01:32:32.3156058Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3156126Z             {
2022-11-23T01:32:32.3156246Z                 'guard_types': None,
2022-11-23T01:32:32.3156360Z                 'code': None,
2022-11-23T01:32:32.3156482Z                 'obj_weakref': None
2022-11-23T01:32:32.3156609Z                 'guarded_class': None
2022-11-23T01:32:32.3156677Z             }
2022-11-23T01:32:32.3156748Z             
2022-11-23T01:32:32.3156823Z  - 
2022-11-23T01:32:32.3156970Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T01:32:32.3157039Z             {
2022-11-23T01:32:32.3157186Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.3157366Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T01:32:32.3157491Z                 'obj_weakref': None
2022-11-23T01:32:32.3157722Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.3157794Z             }
2022-11-23T01:32:32.3157858Z             
2022-11-23T01:32:32.3158127Z [2022-11-23 01:30:23,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 741
2022-11-23T01:32:32.3158384Z [2022-11-23 01:30:23,648] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3158900Z [2022-11-23 01:30:23,651] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf2')]
2022-11-23T01:32:32.3159114Z [2022-11-23 01:30:23,655] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.3159486Z [2022-11-23 01:30:23,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zs/czs2dcemv6tl5j6axdowkldfzsa3fcqz2zqtqrxjhzfskuo6d55p.py
2022-11-23T01:32:32.3159787Z [2022-11-23 01:30:23,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 741
2022-11-23T01:32:32.3160060Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3160384Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3160600Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3160858Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3161140Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3161462Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3161812Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3162138Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3162512Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866> 
2022-11-23T01:32:32.3162612Z  867           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3162711Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3162812Z               4 LOAD_ATTR                0 (sum)
2022-11-23T01:32:32.3162948Z               6 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.3163048Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.3163146Z              10 LOAD_ATTR                2 (double)
2022-11-23T01:32:32.3163300Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.3163400Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3163487Z              16 BINARY_MULTIPLY
2022-11-23T01:32:32.3163584Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3163675Z              20 LOAD_ATTR                0 (sum)
2022-11-23T01:32:32.3163778Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:32.3163876Z              24 LOAD_ATTR                2 (double)
2022-11-23T01:32:32.3164026Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.3164123Z              28 CALL_FUNCTION_KW         1
2022-11-23T01:32:32.3164203Z              30 BINARY_ADD
2022-11-23T01:32:32.3164288Z              32 RETURN_VALUE
2022-11-23T01:32:32.3164347Z  
2022-11-23T01:32:32.3164352Z 
2022-11-23T01:32:32.3164673Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867
2022-11-23T01:32:32.3164892Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.3165137Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3165413Z [2022-11-23 01:30:23,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3165716Z [2022-11-23 01:30:23,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3166062Z [2022-11-23 01:30:23,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3166586Z [2022-11-23 01:30:23,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3167031Z [2022-11-23 01:30:23,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:32.3167465Z [2022-11-23 01:30:23,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:32.3167750Z [2022-11-23 01:30:23,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3167982Z [2022-11-23 01:30:23,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3168253Z [2022-11-23 01:30:23,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3168570Z [2022-11-23 01:30:23,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3169029Z [2022-11-23 01:30:23,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3169378Z [2022-11-23 01:30:23,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T01:32:32.3169771Z [2022-11-23 01:30:23,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:32.3170047Z [2022-11-23 01:30:23,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3170301Z [2022-11-23 01:30:23,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3170679Z [2022-11-23 01:30:23,769] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866>
2022-11-23T01:32:32.3170925Z [2022-11-23 01:30:23,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3171163Z [2022-11-23 01:30:23,769] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3171423Z [2022-11-23 01:30:23,770] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3171671Z [2022-11-23 01:30:23,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3171864Z [2022-11-23 01:30:23,774] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3172009Z  __compiled_fn_760 <eval_with_key>.4680 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3172109Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3172292Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T01:32:32.3172476Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T01:32:32.3172653Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T01:32:32.3172828Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:32.3172930Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3172936Z 
2022-11-23T01:32:32.3173268Z [2022-11-23 01:30:23,774] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3173369Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3173467Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3173561Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3173693Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3173825Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3173912Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3173995Z              12 RETURN_VALUE
2022-11-23T01:32:32.3174001Z 
2022-11-23T01:32:32.3174067Z  
2022-11-23T01:32:32.3174394Z [2022-11-23 01:30:23,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3174511Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_760)
2022-11-23T01:32:32.3174608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3174706Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3174790Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3174876Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3174972Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3175055Z              12 RETURN_VALUE
2022-11-23T01:32:32.3175060Z 
2022-11-23T01:32:32.3175132Z  
2022-11-23T01:32:32.3175323Z [2022-11-23 01:30:23,775] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3175399Z  - 
2022-11-23T01:32:32.3175526Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3175589Z             {
2022-11-23T01:32:32.3175737Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3175933Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3176060Z                 'obj_weakref': None
2022-11-23T01:32:32.3176290Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3176361Z             }
2022-11-23T01:32:32.3176432Z             
2022-11-23T01:32:32.3176500Z  - 
2022-11-23T01:32:32.3176631Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3176702Z             {
2022-11-23T01:32:32.3176851Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3176968Z                 'code': None,
2022-11-23T01:32:32.3177193Z                 'obj_weakref': <weakref at 0x7f1fe80f9ad0; to 'Tensor' at 0x7f1fe81defc0>
2022-11-23T01:32:32.3177446Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3177509Z             }
2022-11-23T01:32:32.3177579Z             
2022-11-23T01:32:32.3177654Z  - 
2022-11-23T01:32:32.3177791Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3177861Z             {
2022-11-23T01:32:32.3178003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3178180Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3178296Z                 'obj_weakref': None
2022-11-23T01:32:32.3178533Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3178602Z             }
2022-11-23T01:32:32.3178672Z             
2022-11-23T01:32:32.3178748Z  - 
2022-11-23T01:32:32.3179078Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3179154Z             {
2022-11-23T01:32:32.3179291Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3179515Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3179640Z                 'obj_weakref': None
2022-11-23T01:32:32.3179870Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3179942Z             }
2022-11-23T01:32:32.3180011Z             
2022-11-23T01:32:32.3180086Z  - 
2022-11-23T01:32:32.3180217Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3180286Z             {
2022-11-23T01:32:32.3180414Z                 'guard_types': None,
2022-11-23T01:32:32.3180527Z                 'code': None,
2022-11-23T01:32:32.3180651Z                 'obj_weakref': None
2022-11-23T01:32:32.3180777Z                 'guarded_class': None
2022-11-23T01:32:32.3180847Z             }
2022-11-23T01:32:32.3180961Z             
2022-11-23T01:32:32.3181066Z  - 
2022-11-23T01:32:32.3181222Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T01:32:32.3181292Z             {
2022-11-23T01:32:32.3181440Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.3181623Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T01:32:32.3181749Z                 'obj_weakref': None
2022-11-23T01:32:32.3181970Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.3182040Z             }
2022-11-23T01:32:32.3182108Z             
2022-11-23T01:32:32.3182376Z [2022-11-23 01:30:23,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 742
2022-11-23T01:32:32.3182631Z [2022-11-23 01:30:23,792] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3183145Z [2022-11-23 01:30:23,794] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf2')]
2022-11-23T01:32:32.3183362Z [2022-11-23 01:30:23,796] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.3183368Z 
2022-11-23T01:32:32.3183469Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3183537Z import torch
2022-11-23T01:32:32.3183613Z import random
2022-11-23T01:32:32.3183737Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3183862Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3183868Z 
2022-11-23T01:32:32.3183951Z aten = torch.ops.aten
2022-11-23T01:32:32.3184092Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3184191Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3184196Z 
2022-11-23T01:32:32.3184270Z import triton
2022-11-23T01:32:32.3184357Z import triton.language as tl
2022-11-23T01:32:32.3184488Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3184633Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3184638Z 
2022-11-23T01:32:32.3184643Z 
2022-11-23T01:32:32.3184802Z triton_fused_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3184878Z import triton
2022-11-23T01:32:32.3184971Z import triton.language as tl
2022-11-23T01:32:32.3185089Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3185185Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3185321Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3185451Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3185456Z 
2022-11-23T01:32:32.3185549Z @reduction(size_hints=[32, 32],
2022-11-23T01:32:32.3185666Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3185754Z               filename=__file__,
2022-11-23T01:32:32.3186092Z               meta={'signature': {0: '*fp32', 1: '*fp64', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3186168Z @triton.jit
2022-11-23T01:32:32.3186332Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3186407Z     xnumel = 32
2022-11-23T01:32:32.3186481Z     rnumel = 32
2022-11-23T01:32:32.3186584Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3186723Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3186808Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3186929Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3186994Z     x0 = xindex
2022-11-23T01:32:32.3187117Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float64) + 0
2022-11-23T01:32:32.3187226Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3187316Z         rindex = roffset + rbase
2022-11-23T01:32:32.3187403Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3187504Z         r1 = rindex
2022-11-23T01:32:32.3187752Z         tmp0 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3187838Z         tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:32.3187962Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3188084Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3188184Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:32.3188269Z ''')
2022-11-23T01:32:32.3188275Z 
2022-11-23T01:32:32.3188279Z 
2022-11-23T01:32:32.3188461Z triton_fused_sum_1_add_sum_2_mul1 = async_compile.triton('''
2022-11-23T01:32:32.3188536Z import triton
2022-11-23T01:32:32.3188631Z import triton.language as tl
2022-11-23T01:32:32.3188739Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3188847Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3188982Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3189115Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3189123Z 
2022-11-23T01:32:32.3189215Z @reduction(size_hints=[1, 1024],
2022-11-23T01:32:32.3189340Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3189425Z               filename=__file__,
2022-11-23T01:32:32.3189760Z               meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:32.3189836Z @triton.jit
2022-11-23T01:32:32.3190018Z def kernel(in_ptr0, in_ptr1, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3190092Z     xnumel = 1
2022-11-23T01:32:32.3190169Z     rnumel = 1024
2022-11-23T01:32:32.3190351Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3190507Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3190608Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3190740Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3190879Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float64) + 0
2022-11-23T01:32:32.3191001Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3191257Z         rindex = roffset + rbase
2022-11-23T01:32:32.3191356Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3191429Z         r0 = rindex
2022-11-23T01:32:32.3191630Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3191716Z         tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:32.3191840Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3191958Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3192063Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3192152Z         rindex = roffset + rbase
2022-11-23T01:32:32.3192239Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3192312Z         r0 = rindex
2022-11-23T01:32:32.3192387Z         r1 = rindex % 32
2022-11-23T01:32:32.3192623Z         tmp3 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3192837Z         tmp5 = tl.load(in_ptr1 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3192931Z         tmp4 = tmp3.to(tl.float64)
2022-11-23T01:32:32.3193015Z         tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.3193097Z         tmp7 = tmp6 + tmp2
2022-11-23T01:32:32.3193253Z         tl.store(out_ptr1 + (r0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp7, xmask & rmask)
2022-11-23T01:32:32.3193331Z ''')
2022-11-23T01:32:32.3193337Z 
2022-11-23T01:32:32.3193348Z 
2022-11-23T01:32:32.3193436Z async_compile.wait(globals())
2022-11-23T01:32:32.3193514Z del async_compile
2022-11-23T01:32:32.3193519Z 
2022-11-23T01:32:32.3193595Z def call(args):
2022-11-23T01:32:32.3193671Z     arg0_1, = args
2022-11-23T01:32:32.3193748Z     args.clear()
2022-11-23T01:32:32.3193948Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.3194074Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3194209Z     triton_fused_sum_10.run(arg0_1, buf0, 32, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.3194434Z     buf2 = empty_strided((32, 32), (32, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.3194596Z     triton_fused_sum_1_add_sum_2_mul1.run(arg0_1, buf0, buf2, 1, 1024, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3194672Z     del arg0_1
2022-11-23T01:32:32.3194750Z     return (buf2, )
2022-11-23T01:32:32.3194755Z 
2022-11-23T01:32:32.3194759Z 
2022-11-23T01:32:32.3194840Z if __name__ == "__main__":
2022-11-23T01:32:32.3194962Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3195094Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3195288Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3195403Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3195408Z 
2022-11-23T01:32:32.3195775Z [2022-11-23 01:30:23,894] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e3/ce3c3ajlj34yb7l2kpttmokqp5blzzncgnhg7wytwxbxj6vwxnno.py
2022-11-23T01:32:32.3196046Z [2022-11-23 01:30:23,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 742
2022-11-23T01:32:32.3196052Z 
2022-11-23T01:32:32.3196153Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3196228Z import torch
2022-11-23T01:32:32.3196308Z import random
2022-11-23T01:32:32.3196429Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3196548Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3196553Z 
2022-11-23T01:32:32.3196637Z aten = torch.ops.aten
2022-11-23T01:32:32.3196780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3196879Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3196884Z 
2022-11-23T01:32:32.3196959Z import triton
2022-11-23T01:32:32.3197054Z import triton.language as tl
2022-11-23T01:32:32.3197186Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3197325Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3197338Z 
2022-11-23T01:32:32.3197342Z 
2022-11-23T01:32:32.3197493Z triton_fused_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3197569Z import triton
2022-11-23T01:32:32.3197663Z import triton.language as tl
2022-11-23T01:32:32.3197782Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3197886Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3198022Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3198151Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3198156Z 
2022-11-23T01:32:32.3198240Z @reduction(size_hints=[32, 32],
2022-11-23T01:32:32.3198358Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3198445Z               filename=__file__,
2022-11-23T01:32:32.3198780Z               meta={'signature': {0: '*fp16', 1: '*fp64', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3198855Z @triton.jit
2022-11-23T01:32:32.3199024Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3199099Z     xnumel = 32
2022-11-23T01:32:32.3199173Z     rnumel = 32
2022-11-23T01:32:32.3199265Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3199406Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3199491Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3199614Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3199687Z     x0 = xindex
2022-11-23T01:32:32.3199808Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float64) + 0
2022-11-23T01:32:32.3199914Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3199997Z         rindex = roffset + rbase
2022-11-23T01:32:32.3200085Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3200198Z         r1 = rindex
2022-11-23T01:32:32.3200443Z         tmp0 = tl.load(in_ptr0 + (r1 + (32*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3200558Z         tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:32.3200683Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3200798Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3200890Z     tl.store(out_ptr0 + x0, tmp2, xmask)
2022-11-23T01:32:32.3200978Z ''')
2022-11-23T01:32:32.3200983Z 
2022-11-23T01:32:32.3200988Z 
2022-11-23T01:32:32.3201167Z triton_fused_mul_sum_1_sum_2_add1 = async_compile.triton('''
2022-11-23T01:32:32.3201242Z import triton
2022-11-23T01:32:32.3201337Z import triton.language as tl
2022-11-23T01:32:32.3201454Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3201557Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3201690Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3201813Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3201820Z 
2022-11-23T01:32:32.3201913Z @reduction(size_hints=[1, 1024],
2022-11-23T01:32:32.3202033Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3202119Z               filename=__file__,
2022-11-23T01:32:32.3202461Z               meta={'signature': {0: '*fp16', 1: '*fp64', 2: '*fp64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:32.3202535Z @triton.jit
2022-11-23T01:32:32.3202714Z def kernel(in_ptr0, in_ptr1, out_ptr1, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3202790Z     xnumel = 1
2022-11-23T01:32:32.3202859Z     rnumel = 1024
2022-11-23T01:32:32.3202958Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3203097Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3203183Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3203308Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3203431Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float64) + 0
2022-11-23T01:32:32.3203538Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3203620Z         rindex = roffset + rbase
2022-11-23T01:32:32.3203707Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3203784Z         r0 = rindex
2022-11-23T01:32:32.3204004Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3204097Z         tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:32.3204222Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3204340Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3204438Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3204528Z         rindex = roffset + rbase
2022-11-23T01:32:32.3204614Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3204687Z         r0 = rindex
2022-11-23T01:32:32.3204769Z         r1 = rindex % 32
2022-11-23T01:32:32.3204991Z         tmp3 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3205196Z         tmp5 = tl.load(in_ptr1 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3205280Z         tmp4 = tmp3.to(tl.float64)
2022-11-23T01:32:32.3205366Z         tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.3205448Z         tmp7 = tmp6 + tmp2
2022-11-23T01:32:32.3205604Z         tl.store(out_ptr1 + (r0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp7, xmask & rmask)
2022-11-23T01:32:32.3205691Z ''')
2022-11-23T01:32:32.3205696Z 
2022-11-23T01:32:32.3205700Z 
2022-11-23T01:32:32.3205798Z async_compile.wait(globals())
2022-11-23T01:32:32.3205876Z del async_compile
2022-11-23T01:32:32.3205881Z 
2022-11-23T01:32:32.3205956Z def call(args):
2022-11-23T01:32:32.3206024Z     arg0_1, = args
2022-11-23T01:32:32.3206101Z     args.clear()
2022-11-23T01:32:32.3206298Z     buf0 = empty_strided((32, ), (1, ), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.3206420Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3206583Z     triton_fused_sum_10.run(arg0_1, buf0, 32, 32, grid=grid(32), stream=stream0)
2022-11-23T01:32:32.3206787Z     buf2 = empty_strided((32, 32), (32, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.3206952Z     triton_fused_mul_sum_1_sum_2_add1.run(arg0_1, buf0, buf2, 1, 1024, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3207019Z     del arg0_1
2022-11-23T01:32:32.3207096Z     return (buf2, )
2022-11-23T01:32:32.3207102Z 
2022-11-23T01:32:32.3207106Z 
2022-11-23T01:32:32.3207188Z if __name__ == "__main__":
2022-11-23T01:32:32.3207308Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3207441Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3207643Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3207757Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3207762Z 
2022-11-23T01:32:32.3207833Z ok (0.285s)
2022-11-23T01:32:32.3208134Z   test_sum_int_cuda (__main__.CudaTests) ... [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3208461Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3208688Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3208945Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3209228Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3209550Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3209899Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3210227Z [2022-11-23 01:30:23,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3210601Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:32.3210700Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3210791Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3210892Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3211035Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3211130Z               8 CALL_METHOD              1
2022-11-23T01:32:32.3211215Z              10 BINARY_MULTIPLY
2022-11-23T01:32:32.3211312Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3211411Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3211500Z              16 CALL_METHOD              0
2022-11-23T01:32:32.3211581Z              18 BINARY_ADD
2022-11-23T01:32:32.3211665Z              20 RETURN_VALUE
2022-11-23T01:32:32.3211732Z  
2022-11-23T01:32:32.3211737Z 
2022-11-23T01:32:32.3212056Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:32.3212275Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:32.3212529Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:32.3212809Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3213152Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3213525Z [2022-11-23 01:30:23,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3213819Z [2022-11-23 01:30:23,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3214059Z [2022-11-23 01:30:23,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3214327Z [2022-11-23 01:30:23,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3214882Z [2022-11-23 01:30:23,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3215392Z [2022-11-23 01:30:23,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3215851Z [2022-11-23 01:30:23,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3216430Z [2022-11-23 01:30:23,902] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:32.3216946Z [2022-11-23 01:30:23,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3217388Z [2022-11-23 01:30:23,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3217830Z [2022-11-23 01:30:23,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3218289Z [2022-11-23 01:30:23,907] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3218687Z [2022-11-23 01:30:23,907] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3219227Z  __compiled_fn_761 <eval_with_key>.4686 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3219488Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3219769Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.3220087Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:32.3220335Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:32.3220654Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:32.3220916Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3221062Z 
2022-11-23T01:32:32.3221394Z [2022-11-23 01:30:23,907] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3221737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3221972Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3222198Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3222421Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3222647Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3222873Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3223074Z              12 RETURN_VALUE
2022-11-23T01:32:32.3223199Z 
2022-11-23T01:32:32.3223266Z  
2022-11-23T01:32:32.3223683Z [2022-11-23 01:30:23,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3224042Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_761)
2022-11-23T01:32:32.3224280Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3224505Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3224716Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3224924Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3225147Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3225408Z              12 RETURN_VALUE
2022-11-23T01:32:32.3225563Z 
2022-11-23T01:32:32.3225623Z  
2022-11-23T01:32:32.3225910Z [2022-11-23 01:30:23,908] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3226146Z  - 
2022-11-23T01:32:32.3226369Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3226555Z             {
2022-11-23T01:32:32.3226806Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3227138Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3227414Z                 'obj_weakref': None
2022-11-23T01:32:32.3227772Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3228019Z             }
2022-11-23T01:32:32.3228185Z             
2022-11-23T01:32:32.3228366Z  - 
2022-11-23T01:32:32.3228593Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3228784Z             {
2022-11-23T01:32:32.3229038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3229291Z                 'code': None,
2022-11-23T01:32:32.3229630Z                 'obj_weakref': <weakref at 0x7f1ffad4bdd0; to 'Tensor' at 0x7f1fe80f8720>
2022-11-23T01:32:32.3230063Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3230414Z             }
2022-11-23T01:32:32.3230604Z             
2022-11-23T01:32:32.3230810Z  - 
2022-11-23T01:32:32.3231059Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3231254Z             {
2022-11-23T01:32:32.3231498Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3231814Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3232089Z                 'obj_weakref': None
2022-11-23T01:32:32.3232444Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3232690Z             }
2022-11-23T01:32:32.3232862Z             
2022-11-23T01:32:32.3233035Z  - 
2022-11-23T01:32:32.3233259Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3233465Z             {
2022-11-23T01:32:32.3233703Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3234059Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3234357Z                 'obj_weakref': None
2022-11-23T01:32:32.3234702Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3234947Z             }
2022-11-23T01:32:32.3235119Z             
2022-11-23T01:32:32.3235483Z [2022-11-23 01:30:23,914] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 743
2022-11-23T01:32:32.3236251Z [2022-11-23 01:30:23,921] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3236871Z [2022-11-23 01:30:23,924] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.3237422Z [2022-11-23 01:30:24,006] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gun6hik6c32pulnxsoyy75xxwmslhgmokfjvfcoz7h2lvbsleq.py
2022-11-23T01:32:32.3237961Z [2022-11-23 01:30:24,006] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 743
2022-11-23T01:32:32.3238401Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3238912Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3239373Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3239842Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3240328Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3240891Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3241481Z [2022-11-23 01:30:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3242060Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3242665Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:32.3243028Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3243261Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3243486Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3243763Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3243985Z               8 CALL_METHOD              1
2022-11-23T01:32:32.3244201Z              10 BINARY_MULTIPLY
2022-11-23T01:32:32.3244413Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3244641Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3244863Z              16 CALL_METHOD              0
2022-11-23T01:32:32.3245061Z              18 BINARY_ADD
2022-11-23T01:32:32.3245260Z              20 RETURN_VALUE
2022-11-23T01:32:32.3245445Z  
2022-11-23T01:32:32.3245537Z 
2022-11-23T01:32:32.3245860Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:32.3246318Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:32.3246753Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:32.3247229Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3247752Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3248336Z [2022-11-23 01:30:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3248892Z [2022-11-23 01:30:24,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3249361Z [2022-11-23 01:30:24,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3249823Z [2022-11-23 01:30:24,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3250343Z [2022-11-23 01:30:24,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3250842Z [2022-11-23 01:30:24,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3251302Z [2022-11-23 01:30:24,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3251864Z [2022-11-23 01:30:24,014] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:32.3252386Z [2022-11-23 01:30:24,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3252905Z [2022-11-23 01:30:24,014] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3253376Z [2022-11-23 01:30:24,015] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3253823Z [2022-11-23 01:30:24,018] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3254217Z [2022-11-23 01:30:24,018] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3254522Z  __compiled_fn_762 <eval_with_key>.4692 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3254781Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3255051Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.3255363Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:32.3255616Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:32.3255923Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:32.3256183Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3256328Z 
2022-11-23T01:32:32.3256662Z [2022-11-23 01:30:24,019] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3257003Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3257235Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3257458Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3257681Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3257903Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3258127Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3258337Z              12 RETURN_VALUE
2022-11-23T01:32:32.3258453Z 
2022-11-23T01:32:32.3258521Z  
2022-11-23T01:32:32.3259046Z [2022-11-23 01:30:24,019] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3259414Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_762)
2022-11-23T01:32:32.3259652Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3259876Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3260092Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3260300Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3260528Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3260736Z              12 RETURN_VALUE
2022-11-23T01:32:32.3260859Z 
2022-11-23T01:32:32.3260920Z  
2022-11-23T01:32:32.3261203Z [2022-11-23 01:30:24,019] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3261441Z  - 
2022-11-23T01:32:32.3261662Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3261849Z             {
2022-11-23T01:32:32.3262100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3262428Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3262704Z                 'obj_weakref': None
2022-11-23T01:32:32.3263054Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3263303Z             }
2022-11-23T01:32:32.3263469Z             
2022-11-23T01:32:32.3263648Z  - 
2022-11-23T01:32:32.3263873Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3264064Z             {
2022-11-23T01:32:32.3264312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3264562Z                 'code': None,
2022-11-23T01:32:32.3264891Z                 'obj_weakref': <weakref at 0x7f1fd9ba5e90; to 'Tensor' at 0x7f1f680aca90>
2022-11-23T01:32:32.3265316Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3265579Z             }
2022-11-23T01:32:32.3265744Z             
2022-11-23T01:32:32.3265922Z  - 
2022-11-23T01:32:32.3266152Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3266356Z             {
2022-11-23T01:32:32.3266655Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3266971Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3267275Z                 'obj_weakref': None
2022-11-23T01:32:32.3267630Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3267883Z             }
2022-11-23T01:32:32.3268057Z             
2022-11-23T01:32:32.3268229Z  - 
2022-11-23T01:32:32.3268452Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3268651Z             {
2022-11-23T01:32:32.3268891Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3269247Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3269551Z                 'obj_weakref': None
2022-11-23T01:32:32.3269897Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3270143Z             }
2022-11-23T01:32:32.3270426Z             
2022-11-23T01:32:32.3270837Z [2022-11-23 01:30:24,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 744
2022-11-23T01:32:32.3271795Z [2022-11-23 01:30:24,032] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3272414Z [2022-11-23 01:30:24,034] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.3272952Z [2022-11-23 01:30:24,115] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eh/cehiyfq6akodh5cc4ovfk2hm3uoho62av54vpd4rb4kkl3yjobpc.py
2022-11-23T01:32:32.3273495Z [2022-11-23 01:30:24,115] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 744
2022-11-23T01:32:32.3273937Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3274449Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3274916Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3275355Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3275830Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3276371Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3276963Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3277543Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3278158Z [2022-11-23 01:30:24,118] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:32.3278522Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3278753Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3278982Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3279257Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.3279481Z               8 CALL_METHOD              1
2022-11-23T01:32:32.3279697Z              10 BINARY_MULTIPLY
2022-11-23T01:32:32.3279912Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3280143Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:32.3280366Z              16 CALL_METHOD              0
2022-11-23T01:32:32.3280612Z              18 BINARY_ADD
2022-11-23T01:32:32.3280836Z              20 RETURN_VALUE
2022-11-23T01:32:32.3281019Z  
2022-11-23T01:32:32.3281111Z 
2022-11-23T01:32:32.3289387Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:32:32.3289883Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:32.3290316Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:32.3290797Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3291330Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3291906Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.3292465Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3292928Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3293388Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3293899Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.3294407Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3294873Z [2022-11-23 01:30:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3295452Z [2022-11-23 01:30:24,122] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:32.3295963Z [2022-11-23 01:30:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3296402Z [2022-11-23 01:30:24,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3296855Z [2022-11-23 01:30:24,123] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3297311Z [2022-11-23 01:30:24,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3297697Z [2022-11-23 01:30:24,127] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3298005Z  __compiled_fn_763 <eval_with_key>.4698 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3298275Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3298539Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.3299043Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:32.3299304Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:32.3299615Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:32.3299874Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3300016Z 
2022-11-23T01:32:32.3300346Z [2022-11-23 01:30:24,127] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3300698Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3300921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3301146Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3301375Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3301596Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3301916Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3302157Z              12 RETURN_VALUE
2022-11-23T01:32:32.3302280Z 
2022-11-23T01:32:32.3302340Z  
2022-11-23T01:32:32.3302761Z [2022-11-23 01:30:24,127] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3303123Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_763)
2022-11-23T01:32:32.3303364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3303583Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3303793Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3304008Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3304223Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3304434Z              12 RETURN_VALUE
2022-11-23T01:32:32.3304555Z 
2022-11-23T01:32:32.3304623Z  
2022-11-23T01:32:32.3304898Z [2022-11-23 01:30:24,128] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3305138Z  - 
2022-11-23T01:32:32.3305366Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3305553Z             {
2022-11-23T01:32:32.3305803Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3306133Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3306417Z                 'obj_weakref': None
2022-11-23T01:32:32.3306764Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3307009Z             }
2022-11-23T01:32:32.3307182Z             
2022-11-23T01:32:32.3307353Z  - 
2022-11-23T01:32:32.3307580Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3307776Z             {
2022-11-23T01:32:32.3308022Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3308273Z                 'code': None,
2022-11-23T01:32:32.3308611Z                 'obj_weakref': <weakref at 0x7f1fead93880; to 'Tensor' at 0x7f1f680aca90>
2022-11-23T01:32:32.3309033Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3309291Z             }
2022-11-23T01:32:32.3309462Z             
2022-11-23T01:32:32.3309631Z  - 
2022-11-23T01:32:32.3309866Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3310068Z             {
2022-11-23T01:32:32.3310387Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3310730Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3311007Z                 'obj_weakref': None
2022-11-23T01:32:32.3311368Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3311610Z             }
2022-11-23T01:32:32.3311782Z             
2022-11-23T01:32:32.3311963Z  - 
2022-11-23T01:32:32.3312209Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3312432Z             {
2022-11-23T01:32:32.3312676Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3313027Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3313330Z                 'obj_weakref': None
2022-11-23T01:32:32.3313685Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3313920Z             }
2022-11-23T01:32:32.3314093Z             
2022-11-23T01:32:32.3314466Z [2022-11-23 01:30:24,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 745
2022-11-23T01:32:32.3315224Z [2022-11-23 01:30:24,140] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3315832Z [2022-11-23 01:30:24,142] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.3316423Z [2022-11-23 01:30:24,216] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yc/cycjmlg7w6uqlutb4robfn7yyfreakf5zpzegeotjfpmcpb2bm22.py
2022-11-23T01:32:32.3317000Z [2022-11-23 01:30:24,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 745
2022-11-23T01:32:32.3317212Z 
2022-11-23T01:32:32.3317315Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3317520Z import torch
2022-11-23T01:32:32.3317703Z import random
2022-11-23T01:32:32.3317938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3318214Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3318379Z 
2022-11-23T01:32:32.3318463Z aten = torch.ops.aten
2022-11-23T01:32:32.3318725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3318987Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3319125Z 
2022-11-23T01:32:32.3319200Z import triton
2022-11-23T01:32:32.3319404Z import triton.language as tl
2022-11-23T01:32:32.3319659Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3319968Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3320147Z 
2022-11-23T01:32:32.3320151Z 
2022-11-23T01:32:32.3320338Z triton_fused_sum_2_mul_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3320575Z import triton
2022-11-23T01:32:32.3320769Z import triton.language as tl
2022-11-23T01:32:32.3321017Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3321270Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3321537Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3321831Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3321994Z 
2022-11-23T01:32:32.3322086Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:32.3322327Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3322566Z               filename=__file__,
2022-11-23T01:32:32.3323024Z               meta={'signature': {0: '*i64', 1: '*i1', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:32.3323335Z @triton.jit
2022-11-23T01:32:32.3323611Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3323885Z     xnumel = 1
2022-11-23T01:32:32.3324067Z     rnumel = 64
2022-11-23T01:32:32.3324268Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3324542Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3324796Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3325032Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3325305Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int64) + 0
2022-11-23T01:32:32.3325562Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3325784Z         rindex = roffset + rbase
2022-11-23T01:32:32.3325997Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3326191Z         r0 = rindex
2022-11-23T01:32:32.3326496Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3326760Z         tmp1 = tmp0.to(tl.int64)
2022-11-23T01:32:32.3327007Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3327275Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3327490Z     tmp3 = tmp2
2022-11-23T01:32:32.3327671Z     tmp4 = 2
2022-11-23T01:32:32.3327854Z     tmp5 = tmp2 * tmp4
2022-11-23T01:32:32.3328040Z     tmp6 = tmp5 + tmp3
2022-11-23T01:32:32.3328298Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, None)
2022-11-23T01:32:32.3328551Z ''')
2022-11-23T01:32:32.3328654Z 
2022-11-23T01:32:32.3328659Z 
2022-11-23T01:32:32.3328748Z async_compile.wait(globals())
2022-11-23T01:32:32.3328958Z del async_compile
2022-11-23T01:32:32.3329073Z 
2022-11-23T01:32:32.3329154Z def call(args):
2022-11-23T01:32:32.3329330Z     arg0_1, = args
2022-11-23T01:32:32.3329516Z     args.clear()
2022-11-23T01:32:32.3329853Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3330123Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:32.3330339Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3330622Z     triton_fused_sum_2_mul_add_sum_10.run(buf2, arg0_1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3330873Z     del arg0_1
2022-11-23T01:32:32.3331048Z     return (buf2, )
2022-11-23T01:32:32.3331166Z 
2022-11-23T01:32:32.3331171Z 
2022-11-23T01:32:32.3331254Z if __name__ == "__main__":
2022-11-23T01:32:32.3331495Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3331768Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3332125Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.3332404Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3332553Z 
2022-11-23T01:32:32.3332558Z 
2022-11-23T01:32:32.3332659Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3332866Z import torch
2022-11-23T01:32:32.3333050Z import random
2022-11-23T01:32:32.3333287Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3333558Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3333722Z 
2022-11-23T01:32:32.3333807Z aten = torch.ops.aten
2022-11-23T01:32:32.3334070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3334327Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3334464Z 
2022-11-23T01:32:32.3334541Z import triton
2022-11-23T01:32:32.3334742Z import triton.language as tl
2022-11-23T01:32:32.3334993Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3335296Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3335472Z 
2022-11-23T01:32:32.3335477Z 
2022-11-23T01:32:32.3335661Z triton_fused_add_mul_sum_2_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3335895Z import triton
2022-11-23T01:32:32.3336090Z import triton.language as tl
2022-11-23T01:32:32.3336338Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3336595Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3336863Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3337154Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3337318Z 
2022-11-23T01:32:32.3337411Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:32.3337652Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3337888Z               filename=__file__,
2022-11-23T01:32:32.3338335Z               meta={'signature': {0: '*i64', 1: '*u8', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:32.3338641Z @triton.jit
2022-11-23T01:32:32.3339114Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3339395Z     xnumel = 1
2022-11-23T01:32:32.3339581Z     rnumel = 64
2022-11-23T01:32:32.3339789Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3340070Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3340324Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3340562Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3340833Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int64) + 0
2022-11-23T01:32:32.3341093Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3341314Z         rindex = roffset + rbase
2022-11-23T01:32:32.3341527Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3341724Z         r0 = rindex
2022-11-23T01:32:32.3342027Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3342313Z         tmp1 = tmp0.to(tl.int64)
2022-11-23T01:32:32.3342583Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3342853Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3343068Z     tmp3 = tmp2
2022-11-23T01:32:32.3343298Z     tmp4 = 2
2022-11-23T01:32:32.3343486Z     tmp5 = tmp2 * tmp4
2022-11-23T01:32:32.3343718Z     tmp6 = tmp5 + tmp3
2022-11-23T01:32:32.3343977Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, None)
2022-11-23T01:32:32.3344234Z ''')
2022-11-23T01:32:32.3344328Z 
2022-11-23T01:32:32.3344332Z 
2022-11-23T01:32:32.3344428Z async_compile.wait(globals())
2022-11-23T01:32:32.3344636Z del async_compile
2022-11-23T01:32:32.3344751Z 
2022-11-23T01:32:32.3344829Z def call(args):
2022-11-23T01:32:32.3345009Z     arg0_1, = args
2022-11-23T01:32:32.3345192Z     args.clear()
2022-11-23T01:32:32.3345488Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3345735Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:32.3345949Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3346227Z     triton_fused_add_mul_sum_2_sum_10.run(buf2, arg0_1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3346482Z     del arg0_1
2022-11-23T01:32:32.3346659Z     return (buf2, )
2022-11-23T01:32:32.3346781Z 
2022-11-23T01:32:32.3346788Z 
2022-11-23T01:32:32.3346871Z if __name__ == "__main__":
2022-11-23T01:32:32.3347114Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3347387Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3347742Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.uint8)
2022-11-23T01:32:32.3348020Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3348169Z 
2022-11-23T01:32:32.3348174Z 
2022-11-23T01:32:32.3348267Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3348478Z import torch
2022-11-23T01:32:32.3348662Z import random
2022-11-23T01:32:32.3348893Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3349173Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3349335Z 
2022-11-23T01:32:32.3349420Z aten = torch.ops.aten
2022-11-23T01:32:32.3349681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3349943Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3350083Z 
2022-11-23T01:32:32.3350161Z import triton
2022-11-23T01:32:32.3350439Z import triton.language as tl
2022-11-23T01:32:32.3350721Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3351057Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3351444Z 
2022-11-23T01:32:32.3351448Z 
2022-11-23T01:32:32.3351637Z triton_fused_mul_sum_2_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3351871Z import triton
2022-11-23T01:32:32.3352066Z import triton.language as tl
2022-11-23T01:32:32.3352349Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3352610Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3352877Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3353167Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3353329Z 
2022-11-23T01:32:32.3353422Z @reduction(size_hints=[1, 64],
2022-11-23T01:32:32.3353662Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3353899Z               filename=__file__,
2022-11-23T01:32:32.3354349Z               meta={'signature': {0: '*i64', 1: '*i32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:32.3354644Z @triton.jit
2022-11-23T01:32:32.3354929Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3355198Z     xnumel = 1
2022-11-23T01:32:32.3355379Z     rnumel = 64
2022-11-23T01:32:32.3355579Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3355855Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3356106Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3356344Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3356613Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.int64) + 0
2022-11-23T01:32:32.3356922Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3357167Z         rindex = roffset + rbase
2022-11-23T01:32:32.3357378Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3357572Z         r0 = rindex
2022-11-23T01:32:32.3357873Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3358132Z         tmp1 = tmp0.to(tl.int64)
2022-11-23T01:32:32.3358381Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3358640Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3358862Z     tmp3 = tmp2
2022-11-23T01:32:32.3359044Z     tmp4 = 2
2022-11-23T01:32:32.3359220Z     tmp5 = tmp2 * tmp4
2022-11-23T01:32:32.3359415Z     tmp6 = tmp5 + tmp3
2022-11-23T01:32:32.3359673Z     tl.store(in_out_ptr0 + (0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp6, None)
2022-11-23T01:32:32.3359928Z ''')
2022-11-23T01:32:32.3360022Z 
2022-11-23T01:32:32.3360027Z 
2022-11-23T01:32:32.3360123Z async_compile.wait(globals())
2022-11-23T01:32:32.3360335Z del async_compile
2022-11-23T01:32:32.3360453Z 
2022-11-23T01:32:32.3360533Z def call(args):
2022-11-23T01:32:32.3360709Z     arg0_1, = args
2022-11-23T01:32:32.3360894Z     args.clear()
2022-11-23T01:32:32.3361190Z     buf0 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3361435Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:32.3361652Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3361929Z     triton_fused_mul_sum_2_add_sum_10.run(buf2, arg0_1, 1, 64, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3362170Z     del arg0_1
2022-11-23T01:32:32.3362353Z     return (buf2, )
2022-11-23T01:32:32.3362471Z 
2022-11-23T01:32:32.3362476Z 
2022-11-23T01:32:32.3362560Z if __name__ == "__main__":
2022-11-23T01:32:32.3362804Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3363078Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3363435Z     arg0_1 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:32.3363723Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3363877Z 
2022-11-23T01:32:32.3363942Z ok (0.322s)
2022-11-23T01:32:32.3364368Z   test_sum_keepdims_cuda (__main__.CudaTests) ... [2022-11-23 01:30:24,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3364924Z [2022-11-23 01:30:24,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3365386Z [2022-11-23 01:30:24,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3365817Z [2022-11-23 01:30:24,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3366299Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3366837Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3367423Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3367992Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3368609Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224> 
2022-11-23T01:32:32.3368980Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3369216Z                2 LOAD_ATTR                1 (sum)
2022-11-23T01:32:32.3369439Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.3369664Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3369910Z                8 BINARY_ADD
2022-11-23T01:32:32.3370167Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.3370420Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:32.3370710Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:32.3370940Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3371165Z               18 BUILD_TUPLE              1
2022-11-23T01:32:32.3371373Z               20 RETURN_VALUE
2022-11-23T01:32:32.3371550Z  
2022-11-23T01:32:32.3371648Z 
2022-11-23T01:32:32.3371975Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225
2022-11-23T01:32:32.3372436Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3372990Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3373575Z [2022-11-23 01:30:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3374163Z [2022-11-23 01:30:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.3374546Z [2022-11-23 01:30:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3374896Z [2022-11-23 01:30:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.3375287Z [2022-11-23 01:30:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3375730Z [2022-11-23 01:30:24,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.3376197Z [2022-11-23 01:30:24,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.3376447Z [2022-11-23 01:30:24,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.3376700Z [2022-11-23 01:30:24,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3377084Z [2022-11-23 01:30:24,224] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224>
2022-11-23T01:32:32.3377339Z [2022-11-23 01:30:24,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3377574Z [2022-11-23 01:30:24,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3377838Z [2022-11-23 01:30:24,225] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3378095Z [2022-11-23 01:30:24,227] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3378291Z [2022-11-23 01:30:24,228] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3378436Z  __compiled_fn_764 <eval_with_key>.4704 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3378532Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3378627Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3379145Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.3379473Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (add, -1), {'keepdim': True}
2022-11-23T01:32:32.3379620Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:32.3379626Z 
2022-11-23T01:32:32.3379964Z [2022-11-23 01:30:24,228] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3380067Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3380167Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3380263Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3380367Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3380463Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3380552Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3380635Z              12 RETURN_VALUE
2022-11-23T01:32:32.3380641Z 
2022-11-23T01:32:32.3380711Z  
2022-11-23T01:32:32.3381041Z [2022-11-23 01:30:24,228] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3381164Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_764)
2022-11-23T01:32:32.3381266Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3381365Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3381448Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3381538Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3381635Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3381719Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3381815Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.3381934Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3382047Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3382146Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3382224Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3382323Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.3382407Z              26 RETURN_VALUE
2022-11-23T01:32:32.3382413Z 
2022-11-23T01:32:32.3382482Z  
2022-11-23T01:32:32.3382675Z [2022-11-23 01:30:24,229] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3382753Z  - 
2022-11-23T01:32:32.3382880Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3382943Z             {
2022-11-23T01:32:32.3383093Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3383290Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.3383416Z                 'obj_weakref': None
2022-11-23T01:32:32.3383648Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3383724Z             }
2022-11-23T01:32:32.3383794Z             
2022-11-23T01:32:32.3383864Z  - 
2022-11-23T01:32:32.3383998Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3384067Z             {
2022-11-23T01:32:32.3384221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3384337Z                 'code': None,
2022-11-23T01:32:32.3384552Z                 'obj_weakref': <weakref at 0x7f1fd9a47600; to 'Tensor' at 0x7f206070cd60>
2022-11-23T01:32:32.3384811Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3384874Z             }
2022-11-23T01:32:32.3384946Z             
2022-11-23T01:32:32.3385023Z  - 
2022-11-23T01:32:32.3385154Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3385224Z             {
2022-11-23T01:32:32.3385373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3385487Z                 'code': None,
2022-11-23T01:32:32.3385693Z                 'obj_weakref': <weakref at 0x7f1fd9a44950; to 'Tensor' at 0x7f2023389850>
2022-11-23T01:32:32.3385979Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3386069Z             }
2022-11-23T01:32:32.3386141Z             
2022-11-23T01:32:32.3386221Z  - 
2022-11-23T01:32:32.3386361Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3386432Z             {
2022-11-23T01:32:32.3386566Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3386745Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3386872Z                 'obj_weakref': None
2022-11-23T01:32:32.3387111Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3387181Z             }
2022-11-23T01:32:32.3387250Z             
2022-11-23T01:32:32.3387327Z  - 
2022-11-23T01:32:32.3387449Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3387519Z             {
2022-11-23T01:32:32.3387663Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3387896Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3388024Z                 'obj_weakref': None
2022-11-23T01:32:32.3388253Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3388322Z             }
2022-11-23T01:32:32.3388384Z             
2022-11-23T01:32:32.3388461Z  - 
2022-11-23T01:32:32.3388603Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3388673Z             {
2022-11-23T01:32:32.3388800Z                 'guard_types': None,
2022-11-23T01:32:32.3388915Z                 'code': None,
2022-11-23T01:32:32.3389039Z                 'obj_weakref': None
2022-11-23T01:32:32.3389159Z                 'guarded_class': None
2022-11-23T01:32:32.3389230Z             }
2022-11-23T01:32:32.3389299Z             
2022-11-23T01:32:32.3389566Z [2022-11-23 01:30:24,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 746
2022-11-23T01:32:32.3389825Z [2022-11-23 01:30:24,237] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3390197Z [2022-11-23 01:30:24,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctc5za2ukdszab5gl2dhz5hioh36ujtkmp4avkbmwyzxtqrd3pug.py
2022-11-23T01:32:32.3390579Z [2022-11-23 01:30:24,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 746
2022-11-23T01:32:32.3390825Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3391136Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3391362Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3391625Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3391911Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3392238Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3392587Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3392914Z [2022-11-23 01:30:24,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3393291Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224> 
2022-11-23T01:32:32.3393396Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3393531Z                2 LOAD_ATTR                1 (sum)
2022-11-23T01:32:32.3393646Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.3393744Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.3393825Z                8 BINARY_ADD
2022-11-23T01:32:32.3393973Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.3394074Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:32.3394236Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:32.3394336Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3394426Z               18 BUILD_TUPLE              1
2022-11-23T01:32:32.3394510Z               20 RETURN_VALUE
2022-11-23T01:32:32.3394579Z  
2022-11-23T01:32:32.3394585Z 
2022-11-23T01:32:32.3394907Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225
2022-11-23T01:32:32.3395136Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3395507Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3395828Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3396168Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.3396543Z [2022-11-23 01:30:24,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3396888Z [2022-11-23 01:30:24,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.3397271Z [2022-11-23 01:30:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3397692Z [2022-11-23 01:30:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:32.3398155Z [2022-11-23 01:30:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:32.3398404Z [2022-11-23 01:30:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.3398659Z [2022-11-23 01:30:24,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3399039Z [2022-11-23 01:30:24,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224>
2022-11-23T01:32:32.3399287Z [2022-11-23 01:30:24,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3399526Z [2022-11-23 01:30:24,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3399786Z [2022-11-23 01:30:24,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3400042Z [2022-11-23 01:30:24,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3400236Z [2022-11-23 01:30:24,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3400401Z  __compiled_fn_765 <eval_with_key>.4710 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3400518Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3400614Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3400798Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.3401057Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (add, -1), {'keepdim': True}
2022-11-23T01:32:32.3401160Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:32.3401166Z 
2022-11-23T01:32:32.3401501Z [2022-11-23 01:30:24,256] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3401605Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3401696Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3401792Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3401894Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3401992Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3402096Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3402180Z              12 RETURN_VALUE
2022-11-23T01:32:32.3402185Z 
2022-11-23T01:32:32.3402253Z  
2022-11-23T01:32:32.3402580Z [2022-11-23 01:30:24,256] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3402692Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_765)
2022-11-23T01:32:32.3402791Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3402889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3402972Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3403071Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3403165Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3403247Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3403334Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.3403454Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3403566Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3403663Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3403745Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3403841Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.3403924Z              26 RETURN_VALUE
2022-11-23T01:32:32.3403929Z 
2022-11-23T01:32:32.3403990Z  
2022-11-23T01:32:32.3404180Z [2022-11-23 01:30:24,257] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3404260Z  - 
2022-11-23T01:32:32.3404388Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3404460Z             {
2022-11-23T01:32:32.3404607Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3404803Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.3404922Z                 'obj_weakref': None
2022-11-23T01:32:32.3405155Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3405230Z             }
2022-11-23T01:32:32.3405301Z             
2022-11-23T01:32:32.3405379Z  - 
2022-11-23T01:32:32.3405510Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3405579Z             {
2022-11-23T01:32:32.3405719Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3405833Z                 'code': None,
2022-11-23T01:32:32.3406050Z                 'obj_weakref': <weakref at 0x7f1fd9b14720; to 'Tensor' at 0x7f1fead93420>
2022-11-23T01:32:32.3406302Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3406373Z             }
2022-11-23T01:32:32.3406443Z             
2022-11-23T01:32:32.3406522Z  - 
2022-11-23T01:32:32.3406642Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3406713Z             {
2022-11-23T01:32:32.3406861Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3407004Z                 'code': None,
2022-11-23T01:32:32.3407237Z                 'obj_weakref': <weakref at 0x7f1fd9b17880; to 'Tensor' at 0x7f1ffad71440>
2022-11-23T01:32:32.3407488Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3407560Z             }
2022-11-23T01:32:32.3407630Z             
2022-11-23T01:32:32.3407700Z  - 
2022-11-23T01:32:32.3407836Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3407906Z             {
2022-11-23T01:32:32.3408048Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3408222Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3408347Z                 'obj_weakref': None
2022-11-23T01:32:32.3408575Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3408638Z             }
2022-11-23T01:32:32.3408709Z             
2022-11-23T01:32:32.3408787Z  - 
2022-11-23T01:32:32.3408916Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3408988Z             {
2022-11-23T01:32:32.3409128Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3409339Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3409462Z                 'obj_weakref': None
2022-11-23T01:32:32.3409687Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3409756Z             }
2022-11-23T01:32:32.3409827Z             
2022-11-23T01:32:32.3409905Z  - 
2022-11-23T01:32:32.3410042Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3410105Z             {
2022-11-23T01:32:32.3410231Z                 'guard_types': None,
2022-11-23T01:32:32.3410345Z                 'code': None,
2022-11-23T01:32:32.3410468Z                 'obj_weakref': None
2022-11-23T01:32:32.3410596Z                 'guarded_class': None
2022-11-23T01:32:32.3410669Z             }
2022-11-23T01:32:32.3410739Z             
2022-11-23T01:32:32.3410995Z [2022-11-23 01:30:24,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 747
2022-11-23T01:32:32.3411245Z [2022-11-23 01:30:24,267] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3411602Z [2022-11-23 01:30:24,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ab/cabf565vmzv5rybc55y5hctjqcfoxhy4p4ebazct44ffrkzarkp2.py
2022-11-23T01:32:32.3411871Z [2022-11-23 01:30:24,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 747
2022-11-23T01:32:32.3411878Z 
2022-11-23T01:32:32.3411980Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3412056Z import torch
2022-11-23T01:32:32.3412133Z import random
2022-11-23T01:32:32.3412258Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3412378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3412392Z 
2022-11-23T01:32:32.3412472Z aten = torch.ops.aten
2022-11-23T01:32:32.3412615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3412713Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3412718Z 
2022-11-23T01:32:32.3412794Z import triton
2022-11-23T01:32:32.3412892Z import triton.language as tl
2022-11-23T01:32:32.3413019Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3413164Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3413170Z 
2022-11-23T01:32:32.3413175Z 
2022-11-23T01:32:32.3413340Z triton_fused_add_sum_10 = async_compile.triton('''
2022-11-23T01:32:32.3413408Z import triton
2022-11-23T01:32:32.3413505Z import triton.language as tl
2022-11-23T01:32:32.3413622Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3413727Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3413864Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3414027Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3414050Z 
2022-11-23T01:32:32.3414142Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.3414253Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3414341Z               filename=__file__,
2022-11-23T01:32:32.3414686Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.3414761Z @triton.jit
2022-11-23T01:32:32.3414945Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3415020Z     xnumel = 8
2022-11-23T01:32:32.3415093Z     rnumel = 8
2022-11-23T01:32:32.3415187Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3415326Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3415415Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3415538Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3415612Z     x0 = xindex
2022-11-23T01:32:32.3415736Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3415844Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3415928Z         rindex = roffset + rbase
2022-11-23T01:32:32.3416015Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3416088Z         r1 = rindex
2022-11-23T01:32:32.3416310Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3416529Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3416614Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3416739Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3416858Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3416951Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.3417038Z ''')
2022-11-23T01:32:32.3417046Z 
2022-11-23T01:32:32.3417050Z 
2022-11-23T01:32:32.3417148Z async_compile.wait(globals())
2022-11-23T01:32:32.3417229Z del async_compile
2022-11-23T01:32:32.3417234Z 
2022-11-23T01:32:32.3417311Z def call(args):
2022-11-23T01:32:32.3417394Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.3417473Z     args.clear()
2022-11-23T01:32:32.3417667Z     buf0 = empty_strided((8, 1), (1, 8), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3417760Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3417911Z     triton_fused_add_sum_10.run(arg0_1, arg1_1, buf0, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.3417986Z     del arg0_1
2022-11-23T01:32:32.3418062Z     del arg1_1
2022-11-23T01:32:32.3418139Z     return (buf0, )
2022-11-23T01:32:32.3418145Z 
2022-11-23T01:32:32.3418149Z 
2022-11-23T01:32:32.3418232Z if __name__ == "__main__":
2022-11-23T01:32:32.3418353Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3418475Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3418680Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3419086Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3419212Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.3419217Z 
2022-11-23T01:32:32.3419222Z 
2022-11-23T01:32:32.3419323Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3419400Z import torch
2022-11-23T01:32:32.3419477Z import random
2022-11-23T01:32:32.3419601Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3419722Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3419727Z 
2022-11-23T01:32:32.3419812Z aten = torch.ops.aten
2022-11-23T01:32:32.3419955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3420053Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3420058Z 
2022-11-23T01:32:32.3420135Z import triton
2022-11-23T01:32:32.3420276Z import triton.language as tl
2022-11-23T01:32:32.3420408Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3420575Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3420588Z 
2022-11-23T01:32:32.3420592Z 
2022-11-23T01:32:32.3420753Z triton_fused_sum_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.3420830Z import triton
2022-11-23T01:32:32.3420923Z import triton.language as tl
2022-11-23T01:32:32.3421039Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3421144Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3421279Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3421407Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3421412Z 
2022-11-23T01:32:32.3421496Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.3421612Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3421700Z               filename=__file__,
2022-11-23T01:32:32.3422046Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.3422127Z @triton.jit
2022-11-23T01:32:32.3422309Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3422383Z     xnumel = 8
2022-11-23T01:32:32.3422456Z     rnumel = 8
2022-11-23T01:32:32.3422550Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3422688Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3422777Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3422899Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3422973Z     x0 = xindex
2022-11-23T01:32:32.3423092Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3423201Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3423285Z         rindex = roffset + rbase
2022-11-23T01:32:32.3423376Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3423453Z         r1 = rindex
2022-11-23T01:32:32.3423696Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3423940Z         tmp1 = tl.load(in_ptr1 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3424025Z         tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.3424149Z         _tmp3 = tl.where(xmask & rmask, _tmp3 + tmp2, _tmp3)
2022-11-23T01:32:32.3424259Z     tmp3 = tl.reshape(tl.sum(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3424360Z     tl.store(out_ptr0 + x0, tmp3, xmask)
2022-11-23T01:32:32.3424447Z ''')
2022-11-23T01:32:32.3424452Z 
2022-11-23T01:32:32.3424457Z 
2022-11-23T01:32:32.3424552Z async_compile.wait(globals())
2022-11-23T01:32:32.3424631Z del async_compile
2022-11-23T01:32:32.3424636Z 
2022-11-23T01:32:32.3424712Z def call(args):
2022-11-23T01:32:32.3424793Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.3424873Z     args.clear()
2022-11-23T01:32:32.3425065Z     buf0 = empty_strided((8, 1), (1, 8), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3425161Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3425311Z     triton_fused_sum_1_add0.run(arg0_1, arg1_1, buf0, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.3425385Z     del arg0_1
2022-11-23T01:32:32.3425459Z     del arg1_1
2022-11-23T01:32:32.3425538Z     return (buf0, )
2022-11-23T01:32:32.3425543Z 
2022-11-23T01:32:32.3425548Z 
2022-11-23T01:32:32.3425631Z if __name__ == "__main__":
2022-11-23T01:32:32.3425745Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3425876Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3426078Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3426276Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3426398Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.3426454Z 
2022-11-23T01:32:32.3426530Z ok (0.058s)
2022-11-23T01:32:32.3426858Z   test_tanh_cuda (__main__.CudaTests) ... [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3427178Z [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3427401Z [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3427647Z [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3427927Z [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3428247Z [2022-11-23 01:30:24,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3428593Z [2022-11-23 01:30:24,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3428914Z [2022-11-23 01:30:24,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3429288Z [2022-11-23 01:30:24,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116> 
2022-11-23T01:32:32.3429395Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.3429494Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:32.3429592Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3429681Z                6 CALL_METHOD              1
2022-11-23T01:32:32.3429779Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3429861Z               10 BINARY_ADD
2022-11-23T01:32:32.3429961Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.3430061Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:32.3430157Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3430321Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3430405Z               20 BINARY_ADD
2022-11-23T01:32:32.3430508Z               22 CALL_METHOD              1
2022-11-23T01:32:32.3430606Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.3430690Z               26 RETURN_VALUE
2022-11-23T01:32:32.3430757Z  
2022-11-23T01:32:32.3430762Z 
2022-11-23T01:32:32.3431081Z [2022-11-23 01:30:24,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117
2022-11-23T01:32:32.3431299Z [2022-11-23 01:30:24,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.3431606Z [2022-11-23 01:30:24,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3431852Z [2022-11-23 01:30:24,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T01:32:32.3432140Z [2022-11-23 01:30:24,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3432381Z [2022-11-23 01:30:24,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.3432660Z [2022-11-23 01:30:24,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3432906Z [2022-11-23 01:30:24,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.3433267Z [2022-11-23 01:30:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3433546Z [2022-11-23 01:30:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T01:32:32.3433879Z [2022-11-23 01:30:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3434229Z [2022-11-23 01:30:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3434537Z [2022-11-23 01:30:24,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3434807Z [2022-11-23 01:30:24,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3435047Z [2022-11-23 01:30:24,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3435424Z [2022-11-23 01:30:24,294] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116>
2022-11-23T01:32:32.3435672Z [2022-11-23 01:30:24,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3435909Z [2022-11-23 01:30:24,294] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3436169Z [2022-11-23 01:30:24,295] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3436422Z [2022-11-23 01:30:24,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3436616Z [2022-11-23 01:30:24,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3436757Z  __compiled_fn_766 <eval_with_key>.4716 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3436856Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3436960Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T01:32:32.3437140Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T01:32:32.3437320Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.3437433Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T01:32:32.3437545Z output, output, output, ((add, tanh_1),), {}
2022-11-23T01:32:32.3437551Z 
2022-11-23T01:32:32.3437874Z [2022-11-23 01:30:24,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3437976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3438073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3438160Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3438262Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3438354Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3438452Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3438540Z              12 RETURN_VALUE
2022-11-23T01:32:32.3438545Z 
2022-11-23T01:32:32.3438618Z  
2022-11-23T01:32:32.3438934Z [2022-11-23 01:30:24,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3439045Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_766)
2022-11-23T01:32:32.3439143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3439241Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3439323Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3439418Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3439530Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3439640Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3439738Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3439842Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3439976Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3440072Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3440156Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3440251Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.3440333Z              26 RETURN_VALUE
2022-11-23T01:32:32.3440339Z 
2022-11-23T01:32:32.3440406Z  
2022-11-23T01:32:32.3440587Z [2022-11-23 01:30:24,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3440664Z  - 
2022-11-23T01:32:32.3440790Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3440862Z             {
2022-11-23T01:32:32.3441010Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3441203Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3441328Z                 'obj_weakref': None
2022-11-23T01:32:32.3441547Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3441622Z             }
2022-11-23T01:32:32.3441691Z             
2022-11-23T01:32:32.3441769Z  - 
2022-11-23T01:32:32.3441907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3441977Z             {
2022-11-23T01:32:32.3442125Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3442231Z                 'code': None,
2022-11-23T01:32:32.3442445Z                 'obj_weakref': <weakref at 0x7f1ffad767a0; to 'Tensor' at 0x7f2151f18400>
2022-11-23T01:32:32.3442699Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3442770Z             }
2022-11-23T01:32:32.3442840Z             
2022-11-23T01:32:32.3442917Z  - 
2022-11-23T01:32:32.3443057Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3443120Z             {
2022-11-23T01:32:32.3443261Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3443441Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3443569Z                 'obj_weakref': None
2022-11-23T01:32:32.3443806Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3443876Z             }
2022-11-23T01:32:32.3443946Z             
2022-11-23T01:32:32.3444015Z  - 
2022-11-23T01:32:32.3444143Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3444212Z             {
2022-11-23T01:32:32.3444356Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3444578Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3444705Z                 'obj_weakref': None
2022-11-23T01:32:32.3444935Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3444999Z             }
2022-11-23T01:32:32.3445069Z             
2022-11-23T01:32:32.3445145Z  - 
2022-11-23T01:32:32.3445285Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.3445357Z             {
2022-11-23T01:32:32.3445485Z                 'guard_types': None,
2022-11-23T01:32:32.3445598Z                 'code': None,
2022-11-23T01:32:32.3445714Z                 'obj_weakref': None
2022-11-23T01:32:32.3445841Z                 'guarded_class': None
2022-11-23T01:32:32.3445911Z             }
2022-11-23T01:32:32.3445980Z             
2022-11-23T01:32:32.3446248Z [2022-11-23 01:30:24,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 748
2022-11-23T01:32:32.3446546Z [2022-11-23 01:30:24,325] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3446918Z [2022-11-23 01:30:24,409] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cm/ccmtqkcg7yk2syc5jwlvcomkammvb6uryjnvpfq4z3wpra736pjn.py
2022-11-23T01:32:32.3447220Z [2022-11-23 01:30:24,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 748
2022-11-23T01:32:32.3447458Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3447803Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3448026Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3448284Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3448565Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3448888Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3449239Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3449567Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3449944Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116> 
2022-11-23T01:32:32.3450048Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.3450142Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:32.3450241Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3450340Z                6 CALL_METHOD              1
2022-11-23T01:32:32.3450439Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3450520Z               10 BINARY_ADD
2022-11-23T01:32:32.3450623Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.3450721Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:32.3450813Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3450910Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3450988Z               20 BINARY_ADD
2022-11-23T01:32:32.3451083Z               22 CALL_METHOD              1
2022-11-23T01:32:32.3451179Z               24 BUILD_TUPLE              2
2022-11-23T01:32:32.3451265Z               26 RETURN_VALUE
2022-11-23T01:32:32.3451333Z  
2022-11-23T01:32:32.3451339Z 
2022-11-23T01:32:32.3451648Z [2022-11-23 01:30:24,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117
2022-11-23T01:32:32.3451867Z [2022-11-23 01:30:24,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.3452176Z [2022-11-23 01:30:24,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3452429Z [2022-11-23 01:30:24,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T01:32:32.3452724Z [2022-11-23 01:30:24,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3452964Z [2022-11-23 01:30:24,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.3453247Z [2022-11-23 01:30:24,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3453494Z [2022-11-23 01:30:24,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.3453827Z [2022-11-23 01:30:24,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3454128Z [2022-11-23 01:30:24,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T01:32:32.3454445Z [2022-11-23 01:30:24,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3454794Z [2022-11-23 01:30:24,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3455103Z [2022-11-23 01:30:24,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:32.3455372Z [2022-11-23 01:30:24,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3455621Z [2022-11-23 01:30:24,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3455998Z [2022-11-23 01:30:24,428] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eca760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116>
2022-11-23T01:32:32.3456246Z [2022-11-23 01:30:24,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3456483Z [2022-11-23 01:30:24,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3456745Z [2022-11-23 01:30:24,429] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3456999Z [2022-11-23 01:30:24,433] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3457187Z [2022-11-23 01:30:24,433] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3457331Z  __compiled_fn_767 <eval_with_key>.4722 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3457427Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3457544Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T01:32:32.3457724Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T01:32:32.3457907Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.3458020Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T01:32:32.3458131Z output, output, output, ((add, tanh_1),), {}
2022-11-23T01:32:32.3458136Z 
2022-11-23T01:32:32.3458456Z [2022-11-23 01:30:24,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3458559Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3458656Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3458751Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3459043Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3459142Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3459242Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3459328Z              12 RETURN_VALUE
2022-11-23T01:32:32.3459336Z 
2022-11-23T01:32:32.3459397Z  
2022-11-23T01:32:32.3459723Z [2022-11-23 01:30:24,434] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3459845Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_767)
2022-11-23T01:32:32.3459943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3460041Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3460124Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3460219Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3460324Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3460434Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3460533Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3460615Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3460772Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3460894Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3460976Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3461063Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.3461144Z              26 RETURN_VALUE
2022-11-23T01:32:32.3461149Z 
2022-11-23T01:32:32.3461216Z  
2022-11-23T01:32:32.3461408Z [2022-11-23 01:30:24,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3461486Z  - 
2022-11-23T01:32:32.3461613Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3461683Z             {
2022-11-23T01:32:32.3461824Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3462020Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3462147Z                 'obj_weakref': None
2022-11-23T01:32:32.3462374Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3462445Z             }
2022-11-23T01:32:32.3462517Z             
2022-11-23T01:32:32.3462597Z  - 
2022-11-23T01:32:32.3462726Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3462788Z             {
2022-11-23T01:32:32.3462936Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3463050Z                 'code': None,
2022-11-23T01:32:32.3463268Z                 'obj_weakref': <weakref at 0x7f1fe03af5b0; to 'Tensor' at 0x7f1ffade7060>
2022-11-23T01:32:32.3463522Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3463591Z             }
2022-11-23T01:32:32.3463662Z             
2022-11-23T01:32:32.3463730Z  - 
2022-11-23T01:32:32.3463867Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3463936Z             {
2022-11-23T01:32:32.3464079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3464255Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3464381Z                 'obj_weakref': None
2022-11-23T01:32:32.3464620Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3464682Z             }
2022-11-23T01:32:32.3464750Z             
2022-11-23T01:32:32.3464825Z  - 
2022-11-23T01:32:32.3464954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3465025Z             {
2022-11-23T01:32:32.3465170Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3465392Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3465510Z                 'obj_weakref': None
2022-11-23T01:32:32.3465736Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3465805Z             }
2022-11-23T01:32:32.3465875Z             
2022-11-23T01:32:32.3465951Z  - 
2022-11-23T01:32:32.3466088Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.3466150Z             {
2022-11-23T01:32:32.3466282Z                 'guard_types': None,
2022-11-23T01:32:32.3466399Z                 'code': None,
2022-11-23T01:32:32.3466526Z                 'obj_weakref': None
2022-11-23T01:32:32.3466654Z                 'guarded_class': None
2022-11-23T01:32:32.3466724Z             }
2022-11-23T01:32:32.3466793Z             
2022-11-23T01:32:32.3467050Z [2022-11-23 01:30:24,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 749
2022-11-23T01:32:32.3467347Z [2022-11-23 01:30:24,460] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3467712Z [2022-11-23 01:30:24,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nf/cnfjwxliof62zslhsnbbfzo6sk6d2hvbjwu26dtwr242qzyktap7.py
2022-11-23T01:32:32.3467978Z [2022-11-23 01:30:24,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 749
2022-11-23T01:32:32.3467984Z 
2022-11-23T01:32:32.3468126Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3468243Z import torch
2022-11-23T01:32:32.3468319Z import random
2022-11-23T01:32:32.3468441Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3468567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3468573Z 
2022-11-23T01:32:32.3468649Z aten = torch.ops.aten
2022-11-23T01:32:32.3468790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3468888Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3468893Z 
2022-11-23T01:32:32.3468968Z import triton
2022-11-23T01:32:32.3469063Z import triton.language as tl
2022-11-23T01:32:32.3469197Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3469341Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3469347Z 
2022-11-23T01:32:32.3469352Z 
2022-11-23T01:32:32.3469615Z triton_fused_reciprocal_1_exp_add_add_3_mul_1_mul_3_sub_1_mul_2_reciprocal_exp_10 = async_compile.triton('''
2022-11-23T01:32:32.3469686Z import triton
2022-11-23T01:32:32.3469783Z import triton.language as tl
2022-11-23T01:32:32.3469899Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3470006Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3470142Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3470337Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3470343Z 
2022-11-23T01:32:32.3470772Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3470852Z @triton.jit
2022-11-23T01:32:32.3470990Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3471068Z     xnumel = 256
2022-11-23T01:32:32.3471171Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3471308Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3471393Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3471468Z     x0 = xindex
2022-11-23T01:32:32.3471568Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.3471663Z     tmp1 = -2.0
2022-11-23T01:32:32.3471744Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.3471829Z     tmp3 = tl.exp(tmp2)
2022-11-23T01:32:32.3471903Z     tmp4 = 1.0
2022-11-23T01:32:32.3471982Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.3472058Z     tmp6 = 1 / tmp5
2022-11-23T01:32:32.3472125Z     tmp7 = 2.0
2022-11-23T01:32:32.3472204Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:32.3472312Z     tmp9 = tmp8 - tmp4
2022-11-23T01:32:32.3472388Z     tmp10 = 2
2022-11-23T01:32:32.3472487Z     tmp11 = tmp9 + tmp10
2022-11-23T01:32:32.3472568Z     tmp12 = 1
2022-11-23T01:32:32.3472663Z     tmp13 = tmp0 + tmp12
2022-11-23T01:32:32.3472746Z     tmp14 = tmp13 * tmp1
2022-11-23T01:32:32.3472832Z     tmp15 = tl.exp(tmp14)
2022-11-23T01:32:32.3472911Z     tmp16 = tmp15 + tmp4
2022-11-23T01:32:32.3472997Z     tmp17 = 1 / tmp16
2022-11-23T01:32:32.3473076Z     tmp18 = tmp17 * tmp7
2022-11-23T01:32:32.3473189Z     tmp19 = tmp18 - tmp4
2022-11-23T01:32:32.3473333Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.3473463Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:32.3473552Z ''')
2022-11-23T01:32:32.3473558Z 
2022-11-23T01:32:32.3473562Z 
2022-11-23T01:32:32.3473658Z async_compile.wait(globals())
2022-11-23T01:32:32.3473738Z del async_compile
2022-11-23T01:32:32.3473743Z 
2022-11-23T01:32:32.3473820Z def call(args):
2022-11-23T01:32:32.3473895Z     arg0_1, = args
2022-11-23T01:32:32.3473972Z     args.clear()
2022-11-23T01:32:32.3474171Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3474376Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3474469Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3474724Z     triton_fused_reciprocal_1_exp_add_add_3_mul_1_mul_3_sub_1_mul_2_reciprocal_exp_10.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:32.3474819Z     del arg0_1
2022-11-23T01:32:32.3474902Z     return (buf0, buf1, )
2022-11-23T01:32:32.3474908Z 
2022-11-23T01:32:32.3474912Z 
2022-11-23T01:32:32.3474996Z if __name__ == "__main__":
2022-11-23T01:32:32.3475120Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3475243Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3475450Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3475566Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3475571Z 
2022-11-23T01:32:32.3475576Z 
2022-11-23T01:32:32.3475676Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3475752Z import torch
2022-11-23T01:32:32.3475828Z import random
2022-11-23T01:32:32.3475951Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3476081Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3476088Z 
2022-11-23T01:32:32.3476166Z aten = torch.ops.aten
2022-11-23T01:32:32.3476308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3476405Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3476410Z 
2022-11-23T01:32:32.3476487Z import triton
2022-11-23T01:32:32.3476583Z import triton.language as tl
2022-11-23T01:32:32.3476712Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3476855Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3476860Z 
2022-11-23T01:32:32.3476865Z 
2022-11-23T01:32:32.3477128Z triton_fused_sub_1_sub_add_3_mul_3_exp_1_reciprocal_mul_1_exp_reciprocal_1_mul_20 = async_compile.triton('''
2022-11-23T01:32:32.3477198Z import triton
2022-11-23T01:32:32.3477296Z import triton.language as tl
2022-11-23T01:32:32.3477413Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3477519Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3477656Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3477788Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3477793Z 
2022-11-23T01:32:32.3478188Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3478264Z @triton.jit
2022-11-23T01:32:32.3478405Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3478484Z     xnumel = 256
2022-11-23T01:32:32.3478584Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3478719Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3478805Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3478879Z     x0 = xindex
2022-11-23T01:32:32.3479000Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.3479097Z     tmp1 = -2.0
2022-11-23T01:32:32.3479181Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.3479265Z     tmp3 = tl.exp(tmp2)
2022-11-23T01:32:32.3479341Z     tmp4 = 1.0
2022-11-23T01:32:32.3479426Z     tmp5 = tmp3 + tmp4
2022-11-23T01:32:32.3479503Z     tmp6 = 1 / tmp5
2022-11-23T01:32:32.3479577Z     tmp7 = 2.0
2022-11-23T01:32:32.3479649Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:32.3479761Z     tmp9 = tmp8 - tmp4
2022-11-23T01:32:32.3479834Z     tmp10 = 2
2022-11-23T01:32:32.3479918Z     tmp11 = tmp9 + tmp10
2022-11-23T01:32:32.3479991Z     tmp12 = 1
2022-11-23T01:32:32.3480073Z     tmp13 = tmp0 + tmp12
2022-11-23T01:32:32.3480146Z     tmp14 = tmp13 * tmp1
2022-11-23T01:32:32.3480231Z     tmp15 = tl.exp(tmp14)
2022-11-23T01:32:32.3480312Z     tmp16 = tmp15 + tmp4
2022-11-23T01:32:32.3480390Z     tmp17 = 1 / tmp16
2022-11-23T01:32:32.3480470Z     tmp18 = tmp17 * tmp7
2022-11-23T01:32:32.3480583Z     tmp19 = tmp18 - tmp4
2022-11-23T01:32:32.3480774Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.3480906Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:32.3481020Z ''')
2022-11-23T01:32:32.3481025Z 
2022-11-23T01:32:32.3481030Z 
2022-11-23T01:32:32.3481128Z async_compile.wait(globals())
2022-11-23T01:32:32.3481207Z del async_compile
2022-11-23T01:32:32.3481212Z 
2022-11-23T01:32:32.3481289Z def call(args):
2022-11-23T01:32:32.3481366Z     arg0_1, = args
2022-11-23T01:32:32.3481442Z     args.clear()
2022-11-23T01:32:32.3481646Z     buf0 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3481840Z     buf1 = empty_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3481934Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3482138Z     triton_fused_sub_1_sub_add_3_mul_3_exp_1_reciprocal_mul_1_exp_reciprocal_1_mul_20.run(arg0_1, buf0, buf1, 256, grid=grid(256), stream=stream0)
2022-11-23T01:32:32.3482214Z     del arg0_1
2022-11-23T01:32:32.3482299Z     return (buf0, buf1, )
2022-11-23T01:32:32.3482306Z 
2022-11-23T01:32:32.3482310Z 
2022-11-23T01:32:32.3482393Z if __name__ == "__main__":
2022-11-23T01:32:32.3482514Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3482643Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3482840Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3482954Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3482959Z 
2022-11-23T01:32:32.3483033Z ok (0.269s)
2022-11-23T01:32:32.3483343Z   test_tensor1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3483664Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3483890Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3484150Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3484437Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3484758Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3485101Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3485430Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3485812Z [2022-11-23 01:30:24,548] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914> 
2022-11-23T01:32:32.3485918Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3486020Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3486118Z               4 LOAD_CONST               1 (1)
2022-11-23T01:32:32.3486213Z               6 BUILD_LIST               1
2022-11-23T01:32:32.3486310Z               8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3486407Z              10 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3486555Z              12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:32.3486654Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3486750Z              16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3486830Z              18 BINARY_ADD
2022-11-23T01:32:32.3486933Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3487030Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3487036Z 
2022-11-23T01:32:32.3487165Z 916          24 LOAD_CONST               3 (5)
2022-11-23T01:32:32.3487272Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3487371Z              28 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3487377Z 
2022-11-23T01:32:32.3487535Z 915          30 LOAD_CONST               2 (('device',))
2022-11-23T01:32:32.3487633Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3487730Z              34 BUILD_TUPLE              2
2022-11-23T01:32:32.3487813Z              36 RETURN_VALUE
2022-11-23T01:32:32.3487881Z  
2022-11-23T01:32:32.3487886Z 
2022-11-23T01:32:32.3488203Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:32.3488417Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3488783Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3489109Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3489464Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3489800Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3490172Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3490560Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3490981Z [2022-11-23 01:30:24,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3491221Z [2022-11-23 01:30:24,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3491495Z [2022-11-23 01:30:24,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3491744Z [2022-11-23 01:30:24,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.3492139Z [2022-11-23 01:30:24,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3492446Z [2022-11-23 01:30:24,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916
2022-11-23T01:32:32.3492791Z [2022-11-23 01:30:24,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3493167Z [2022-11-23 01:30:24,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3493577Z [2022-11-23 01:30:24,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3493912Z [2022-11-23 01:30:24,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:32.3494367Z [2022-11-23 01:30:24,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3494830Z [2022-11-23 01:30:24,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3495099Z [2022-11-23 01:30:24,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3495346Z [2022-11-23 01:30:24,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3495717Z [2022-11-23 01:30:24,554] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914>
2022-11-23T01:32:32.3495967Z [2022-11-23 01:30:24,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3496202Z [2022-11-23 01:30:24,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3496459Z [2022-11-23 01:30:24,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3496704Z [2022-11-23 01:30:24,558] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3496900Z [2022-11-23 01:30:24,559] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3497043Z  __compiled_fn_768 <eval_with_key>.4728 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3497139Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3497427Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3497615Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:32.3497902Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, (5,), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3498017Z output, output, output, ((add, tensor_1),), {}
2022-11-23T01:32:32.3498022Z 
2022-11-23T01:32:32.3498350Z [2022-11-23 01:30:24,559] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3498444Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3498542Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3498636Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3498739Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3499025Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3499127Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3499214Z              12 RETURN_VALUE
2022-11-23T01:32:32.3499219Z 
2022-11-23T01:32:32.3499279Z  
2022-11-23T01:32:32.3499602Z [2022-11-23 01:30:24,559] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3499721Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_768)
2022-11-23T01:32:32.3499818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3499916Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3500004Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3500099Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3500211Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3500315Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3500413Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3500551Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3500664Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3500786Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3500869Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3500966Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.3501040Z              26 RETURN_VALUE
2022-11-23T01:32:32.3501046Z 
2022-11-23T01:32:32.3501116Z  
2022-11-23T01:32:32.3501306Z [2022-11-23 01:30:24,560] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3501385Z  - 
2022-11-23T01:32:32.3501510Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3501581Z             {
2022-11-23T01:32:32.3501727Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3501912Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3502044Z                 'obj_weakref': None
2022-11-23T01:32:32.3502312Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3502389Z             }
2022-11-23T01:32:32.3502461Z             
2022-11-23T01:32:32.3502538Z  - 
2022-11-23T01:32:32.3502665Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3502728Z             {
2022-11-23T01:32:32.3502872Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3503045Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3503263Z                 'obj_weakref': <weakref at 0x7f1fd833b380; to 'Tensor' at 0x7f1fd9a46660>
2022-11-23T01:32:32.3503517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3503592Z             }
2022-11-23T01:32:32.3503661Z             
2022-11-23T01:32:32.3503731Z  - 
2022-11-23T01:32:32.3503860Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3503932Z             {
2022-11-23T01:32:32.3504081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3504199Z                 'code': None,
2022-11-23T01:32:32.3504416Z                 'obj_weakref': <weakref at 0x7f1fd833b380; to 'Tensor' at 0x7f1fd9a46660>
2022-11-23T01:32:32.3504677Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3504739Z             }
2022-11-23T01:32:32.3504809Z             
2022-11-23T01:32:32.3504887Z  - 
2022-11-23T01:32:32.3505026Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3505095Z             {
2022-11-23T01:32:32.3505237Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3505412Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3505530Z                 'obj_weakref': None
2022-11-23T01:32:32.3505765Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3505838Z             }
2022-11-23T01:32:32.3505908Z             
2022-11-23T01:32:32.3505985Z  - 
2022-11-23T01:32:32.3506119Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3506192Z             {
2022-11-23T01:32:32.3506327Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3506552Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3506677Z                 'obj_weakref': None
2022-11-23T01:32:32.3506903Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3506972Z             }
2022-11-23T01:32:32.3507041Z             
2022-11-23T01:32:32.3507118Z  - 
2022-11-23T01:32:32.3507250Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3507321Z             {
2022-11-23T01:32:32.3507448Z                 'guard_types': None,
2022-11-23T01:32:32.3507562Z                 'code': None,
2022-11-23T01:32:32.3507689Z                 'obj_weakref': None
2022-11-23T01:32:32.3507818Z                 'guarded_class': None
2022-11-23T01:32:32.3507888Z             }
2022-11-23T01:32:32.3507981Z             
2022-11-23T01:32:32.3508267Z [2022-11-23 01:30:24,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 750
2022-11-23T01:32:32.3508522Z [2022-11-23 01:30:24,570] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3508774Z [2022-11-23 01:30:24,571] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3509144Z [2022-11-23 01:30:24,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/et/cetdnf73pmo7vocqzqvs3q2zixzexfiqgixu7vkbzjplhofk4xj3.py
2022-11-23T01:32:32.3509413Z [2022-11-23 01:30:24,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 750
2022-11-23T01:32:32.3509655Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3509981Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3510206Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3510577Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3510858Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3511179Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3511521Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3511849Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3512226Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914> 
2022-11-23T01:32:32.3512334Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3512439Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3512537Z               4 LOAD_CONST               1 (1)
2022-11-23T01:32:32.3513831Z               6 BUILD_LIST               1
2022-11-23T01:32:32.3513930Z               8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3514019Z              10 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3514186Z              12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:32.3514284Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3514380Z              16 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3514460Z              18 BINARY_ADD
2022-11-23T01:32:32.3514563Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3514660Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3514665Z 
2022-11-23T01:32:32.3514762Z 916          24 LOAD_CONST               3 (5)
2022-11-23T01:32:32.3514849Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3514948Z              28 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3514953Z 
2022-11-23T01:32:32.3515106Z 915          30 LOAD_CONST               2 (('device',))
2022-11-23T01:32:32.3515246Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3515340Z              34 BUILD_TUPLE              2
2022-11-23T01:32:32.3515415Z              36 RETURN_VALUE
2022-11-23T01:32:32.3515483Z  
2022-11-23T01:32:32.3515488Z 
2022-11-23T01:32:32.3515808Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:32.3516067Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3516432Z [2022-11-23 01:30:24,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3516757Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3517110Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3517451Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3517834Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3518230Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3518656Z [2022-11-23 01:30:24,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3518897Z [2022-11-23 01:30:24,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3519175Z [2022-11-23 01:30:24,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3519429Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.3519828Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3520149Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916
2022-11-23T01:32:32.3520501Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3520944Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3521361Z [2022-11-23 01:30:24,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.3521670Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:32:32.3522099Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3522574Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3522848Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3523129Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3523498Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f431b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914>
2022-11-23T01:32:32.3523747Z [2022-11-23 01:30:24,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3523990Z [2022-11-23 01:30:24,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3524257Z [2022-11-23 01:30:24,650] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3524509Z [2022-11-23 01:30:24,653] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3524704Z [2022-11-23 01:30:24,653] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3524849Z  __compiled_fn_769 <eval_with_key>.4734 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3524948Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3525235Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([1],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3525414Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:32.3525698Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, (5,), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3525816Z output, output, output, ((add, tensor_1),), {}
2022-11-23T01:32:32.3525821Z 
2022-11-23T01:32:32.3526150Z [2022-11-23 01:30:24,653] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3526254Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3526354Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3526447Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3526551Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3526637Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3526732Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3526813Z              12 RETURN_VALUE
2022-11-23T01:32:32.3526819Z 
2022-11-23T01:32:32.3526885Z  
2022-11-23T01:32:32.3527205Z [2022-11-23 01:30:24,653] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3527369Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_769)
2022-11-23T01:32:32.3527468Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3527566Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3527643Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3527739Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3527852Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3527965Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3528062Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3528145Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3528261Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3528350Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3528432Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3528528Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.3528610Z              26 RETURN_VALUE
2022-11-23T01:32:32.3528618Z 
2022-11-23T01:32:32.3528683Z  
2022-11-23T01:32:32.3528874Z [2022-11-23 01:30:24,654] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3528951Z  - 
2022-11-23T01:32:32.3529069Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3529141Z             {
2022-11-23T01:32:32.3529290Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3529484Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3529643Z                 'obj_weakref': None
2022-11-23T01:32:32.3529875Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3529945Z             }
2022-11-23T01:32:32.3530007Z             
2022-11-23T01:32:32.3530084Z  - 
2022-11-23T01:32:32.3530215Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3530285Z             {
2022-11-23T01:32:32.3530429Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3530610Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3530826Z                 'obj_weakref': <weakref at 0x7f1fead908b0; to 'Tensor' at 0x7f1fd9b74d60>
2022-11-23T01:32:32.3531077Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3531140Z             }
2022-11-23T01:32:32.3531208Z             
2022-11-23T01:32:32.3531284Z  - 
2022-11-23T01:32:32.3531411Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3531481Z             {
2022-11-23T01:32:32.3531631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3531736Z                 'code': None,
2022-11-23T01:32:32.3531951Z                 'obj_weakref': <weakref at 0x7f1fead908b0; to 'Tensor' at 0x7f1fd9b74d60>
2022-11-23T01:32:32.3532203Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3532272Z             }
2022-11-23T01:32:32.3532343Z             
2022-11-23T01:32:32.3532421Z  - 
2022-11-23T01:32:32.3532559Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3532621Z             {
2022-11-23T01:32:32.3532763Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3532944Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3533069Z                 'obj_weakref': None
2022-11-23T01:32:32.3533305Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3533373Z             }
2022-11-23T01:32:32.3533444Z             
2022-11-23T01:32:32.3533513Z  - 
2022-11-23T01:32:32.3533641Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3533715Z             {
2022-11-23T01:32:32.3533859Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3534082Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3534206Z                 'obj_weakref': None
2022-11-23T01:32:32.3534465Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3534536Z             }
2022-11-23T01:32:32.3534598Z             
2022-11-23T01:32:32.3534675Z  - 
2022-11-23T01:32:32.3534814Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3534884Z             {
2022-11-23T01:32:32.3535011Z                 'guard_types': None,
2022-11-23T01:32:32.3535131Z                 'code': None,
2022-11-23T01:32:32.3535249Z                 'obj_weakref': None
2022-11-23T01:32:32.3535375Z                 'guarded_class': None
2022-11-23T01:32:32.3535443Z             }
2022-11-23T01:32:32.3535510Z             
2022-11-23T01:32:32.3535776Z [2022-11-23 01:30:24,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 751
2022-11-23T01:32:32.3536031Z [2022-11-23 01:30:24,664] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3536278Z [2022-11-23 01:30:24,666] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3536645Z [2022-11-23 01:30:24,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cu/ccucwndk7c4oswm362tuy3dpn3brfz63b2paitvrqm7ldzfqb65p.py
2022-11-23T01:32:32.3536906Z [2022-11-23 01:30:24,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 751
2022-11-23T01:32:32.3536920Z 
2022-11-23T01:32:32.3537013Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3537112Z import torch
2022-11-23T01:32:32.3537190Z import random
2022-11-23T01:32:32.3537316Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3537445Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3537450Z 
2022-11-23T01:32:32.3537533Z aten = torch.ops.aten
2022-11-23T01:32:32.3537677Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3537768Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3537777Z 
2022-11-23T01:32:32.3537851Z import triton
2022-11-23T01:32:32.3537944Z import triton.language as tl
2022-11-23T01:32:32.3538074Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3538223Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3538228Z 
2022-11-23T01:32:32.3538233Z 
2022-11-23T01:32:32.3538419Z triton_fused_lift_fresh_copy_add0 = async_compile.triton('''
2022-11-23T01:32:32.3538494Z import triton
2022-11-23T01:32:32.3538591Z import triton.language as tl
2022-11-23T01:32:32.3538700Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3539013Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3539152Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3539280Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3539286Z 
2022-11-23T01:32:32.3539662Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3539742Z @triton.jit
2022-11-23T01:32:32.3539878Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3539953Z     xnumel = 10
2022-11-23T01:32:32.3540046Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3540180Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3540266Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3540342Z     x0 = xindex
2022-11-23T01:32:32.3540443Z     tmp2 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.3540514Z     tmp0 = 1
2022-11-23T01:32:32.3540597Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.3540679Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3540820Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3540907Z ''')
2022-11-23T01:32:32.3540912Z 
2022-11-23T01:32:32.3540917Z 
2022-11-23T01:32:32.3541096Z triton_fused_lift_fresh_copy_11 = async_compile.triton('''
2022-11-23T01:32:32.3541228Z import triton
2022-11-23T01:32:32.3541322Z import triton.language as tl
2022-11-23T01:32:32.3541443Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3541540Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3541676Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3541806Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3541811Z 
2022-11-23T01:32:32.3542167Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3542245Z @triton.jit
2022-11-23T01:32:32.3542371Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3542445Z     xnumel = 1
2022-11-23T01:32:32.3542546Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3542672Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3542764Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3542835Z     tmp0 = 5
2022-11-23T01:32:32.3542972Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:32.3543059Z ''')
2022-11-23T01:32:32.3543064Z 
2022-11-23T01:32:32.3543069Z 
2022-11-23T01:32:32.3543164Z async_compile.wait(globals())
2022-11-23T01:32:32.3543244Z del async_compile
2022-11-23T01:32:32.3543250Z 
2022-11-23T01:32:32.3543318Z def call(args):
2022-11-23T01:32:32.3543393Z     arg0_1, = args
2022-11-23T01:32:32.3543505Z     args.clear()
2022-11-23T01:32:32.3543706Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3543801Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3543960Z     triton_fused_lift_fresh_copy_add0.run(arg0_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.3544034Z     del arg0_1
2022-11-23T01:32:32.3544212Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3544360Z     triton_fused_lift_fresh_copy_11.run(buf1, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3544446Z     return (buf0, buf1, )
2022-11-23T01:32:32.3544452Z 
2022-11-23T01:32:32.3544457Z 
2022-11-23T01:32:32.3544538Z if __name__ == "__main__":
2022-11-23T01:32:32.3544659Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3544789Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3544989Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3545109Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3545115Z 
2022-11-23T01:32:32.3545119Z 
2022-11-23T01:32:32.3545222Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3545290Z import torch
2022-11-23T01:32:32.3545365Z import random
2022-11-23T01:32:32.3545486Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3545614Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3545619Z 
2022-11-23T01:32:32.3545703Z aten = torch.ops.aten
2022-11-23T01:32:32.3545846Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3545943Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3545948Z 
2022-11-23T01:32:32.3546016Z import triton
2022-11-23T01:32:32.3546113Z import triton.language as tl
2022-11-23T01:32:32.3546245Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3546388Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3546394Z 
2022-11-23T01:32:32.3546400Z 
2022-11-23T01:32:32.3546586Z triton_fused_lift_fresh_copy_add0 = async_compile.triton('''
2022-11-23T01:32:32.3546662Z import triton
2022-11-23T01:32:32.3546758Z import triton.language as tl
2022-11-23T01:32:32.3546876Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3546973Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3547109Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3547238Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3547274Z 
2022-11-23T01:32:32.3547651Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3547725Z @triton.jit
2022-11-23T01:32:32.3547862Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3547937Z     xnumel = 10
2022-11-23T01:32:32.3548042Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3548170Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3548257Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3548331Z     x0 = xindex
2022-11-23T01:32:32.3548453Z     tmp2 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.3548524Z     tmp0 = 1
2022-11-23T01:32:32.3548614Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.3548695Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3548825Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3548915Z ''')
2022-11-23T01:32:32.3548920Z 
2022-11-23T01:32:32.3548924Z 
2022-11-23T01:32:32.3549104Z triton_fused_lift_fresh_copy_11 = async_compile.triton('''
2022-11-23T01:32:32.3549179Z import triton
2022-11-23T01:32:32.3549274Z import triton.language as tl
2022-11-23T01:32:32.3549390Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3549494Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3549656Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3549788Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3549793Z 
2022-11-23T01:32:32.3550143Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3550216Z @triton.jit
2022-11-23T01:32:32.3550425Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3550518Z     xnumel = 1
2022-11-23T01:32:32.3550637Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3550769Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3550847Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3550919Z     tmp0 = 5
2022-11-23T01:32:32.3551056Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp0, None)
2022-11-23T01:32:32.3551144Z ''')
2022-11-23T01:32:32.3551149Z 
2022-11-23T01:32:32.3551154Z 
2022-11-23T01:32:32.3551252Z async_compile.wait(globals())
2022-11-23T01:32:32.3551331Z del async_compile
2022-11-23T01:32:32.3551336Z 
2022-11-23T01:32:32.3551414Z def call(args):
2022-11-23T01:32:32.3551488Z     arg0_1, = args
2022-11-23T01:32:32.3551558Z     args.clear()
2022-11-23T01:32:32.3551759Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3551851Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3552008Z     triton_fused_lift_fresh_copy_add0.run(arg0_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.3552084Z     del arg0_1
2022-11-23T01:32:32.3552269Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3552417Z     triton_fused_lift_fresh_copy_11.run(buf1, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.3552493Z     return (buf0, buf1, )
2022-11-23T01:32:32.3552498Z 
2022-11-23T01:32:32.3552511Z 
2022-11-23T01:32:32.3552585Z if __name__ == "__main__":
2022-11-23T01:32:32.3552707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3552836Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3553038Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3553152Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3553157Z 
2022-11-23T01:32:32.3553229Z ok (0.183s)
2022-11-23T01:32:32.3553541Z   test_tensor2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3553893Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3554118Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3554377Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3554661Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3554986Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3555339Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3555668Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3556041Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922> 
2022-11-23T01:32:32.3556146Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3556269Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3556364Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T01:32:32.3556467Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T01:32:32.3556565Z               8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3556665Z              10 LOAD_CONST               2 (40)
2022-11-23T01:32:32.3556762Z              12 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3556858Z              14 CALL_FUNCTION            3
2022-11-23T01:32:32.3556957Z              16 CALL_FUNCTION            1
2022-11-23T01:32:32.3557046Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3557148Z              20 LOAD_ATTR                4 (device)
2022-11-23T01:32:32.3557305Z              22 LOAD_CONST               3 (('device',))
2022-11-23T01:32:32.3557403Z              24 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3557499Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3557578Z              28 BINARY_ADD
2022-11-23T01:32:32.3557664Z              30 RETURN_VALUE
2022-11-23T01:32:32.3557724Z  
2022-11-23T01:32:32.3557737Z 
2022-11-23T01:32:32.3558052Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923
2022-11-23T01:32:32.3558281Z [2022-11-23 01:30:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3558654Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3558997Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3559367Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:32.3559766Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:32.3560201Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:32.3560703Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3561204Z [2022-11-23 01:30:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3561586Z [2022-11-23 01:30:24,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:32.3561925Z [2022-11-23 01:30:24,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3562302Z [2022-11-23 01:30:24,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3562692Z [2022-11-23 01:30:24,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3563139Z [2022-11-23 01:30:24,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3563375Z [2022-11-23 01:30:24,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3563653Z [2022-11-23 01:30:24,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3563908Z [2022-11-23 01:30:24,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3564281Z [2022-11-23 01:30:24,735] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922>
2022-11-23T01:32:32.3564531Z [2022-11-23 01:30:24,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3564773Z [2022-11-23 01:30:24,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3565031Z [2022-11-23 01:30:24,736] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3565287Z [2022-11-23 01:30:24,739] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3565481Z [2022-11-23 01:30:24,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3565626Z  __compiled_fn_770 <eval_with_key>.4740 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3565719Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3566062Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3566249Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:32.3566353Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3566362Z 
2022-11-23T01:32:32.3566688Z [2022-11-23 01:30:24,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3566792Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3566894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3566989Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3567083Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3567220Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3567317Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3567403Z              12 RETURN_VALUE
2022-11-23T01:32:32.3567409Z 
2022-11-23T01:32:32.3567477Z  
2022-11-23T01:32:32.3567798Z [2022-11-23 01:30:24,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3567921Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_770)
2022-11-23T01:32:32.3568020Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3568112Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3568197Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3568292Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3568389Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3568473Z              12 RETURN_VALUE
2022-11-23T01:32:32.3568478Z 
2022-11-23T01:32:32.3568550Z  
2022-11-23T01:32:32.3568738Z [2022-11-23 01:30:24,740] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3568808Z  - 
2022-11-23T01:32:32.3568933Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3569006Z             {
2022-11-23T01:32:32.3569152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3569344Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3569470Z                 'obj_weakref': None
2022-11-23T01:32:32.3569723Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3569788Z             }
2022-11-23T01:32:32.3569858Z             
2022-11-23T01:32:32.3569939Z  - 
2022-11-23T01:32:32.3570067Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3570138Z             {
2022-11-23T01:32:32.3570284Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3570459Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3570673Z                 'obj_weakref': <weakref at 0x7f1ffad8b920; to 'Tensor' at 0x7f1ffade5b70>
2022-11-23T01:32:32.3570925Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3570997Z             }
2022-11-23T01:32:32.3571065Z             
2022-11-23T01:32:32.3571142Z  - 
2022-11-23T01:32:32.3571272Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3571344Z             {
2022-11-23T01:32:32.3571490Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3571604Z                 'code': None,
2022-11-23T01:32:32.3571819Z                 'obj_weakref': <weakref at 0x7f1ffad8b920; to 'Tensor' at 0x7f1ffade5b70>
2022-11-23T01:32:32.3572075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3572147Z             }
2022-11-23T01:32:32.3572218Z             
2022-11-23T01:32:32.3572294Z  - 
2022-11-23T01:32:32.3572428Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3572496Z             {
2022-11-23T01:32:32.3572640Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3572817Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3572940Z                 'obj_weakref': None
2022-11-23T01:32:32.3573170Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3573240Z             }
2022-11-23T01:32:32.3573304Z             
2022-11-23T01:32:32.3573381Z  - 
2022-11-23T01:32:32.3573508Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3573578Z             {
2022-11-23T01:32:32.3573719Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3573938Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3574061Z                 'obj_weakref': None
2022-11-23T01:32:32.3574277Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3574397Z             }
2022-11-23T01:32:32.3574468Z             
2022-11-23T01:32:32.3574546Z  - 
2022-11-23T01:32:32.3574681Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:32.3574750Z             {
2022-11-23T01:32:32.3574875Z                 'guard_types': None,
2022-11-23T01:32:32.3574981Z                 'code': None,
2022-11-23T01:32:32.3575102Z                 'obj_weakref': None
2022-11-23T01:32:32.3575231Z                 'guarded_class': None
2022-11-23T01:32:32.3575300Z             }
2022-11-23T01:32:32.3575367Z             
2022-11-23T01:32:32.3575444Z  - 
2022-11-23T01:32:32.3575579Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:32.3575641Z             {
2022-11-23T01:32:32.3575764Z                 'guard_types': None,
2022-11-23T01:32:32.3575877Z                 'code': None,
2022-11-23T01:32:32.3575999Z                 'obj_weakref': None
2022-11-23T01:32:32.3576125Z                 'guarded_class': None
2022-11-23T01:32:32.3576196Z             }
2022-11-23T01:32:32.3576258Z             
2022-11-23T01:32:32.3576334Z  - 
2022-11-23T01:32:32.3576472Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3576541Z             {
2022-11-23T01:32:32.3576668Z                 'guard_types': None,
2022-11-23T01:32:32.3576780Z                 'code': None,
2022-11-23T01:32:32.3576903Z                 'obj_weakref': None
2022-11-23T01:32:32.3577021Z                 'guarded_class': None
2022-11-23T01:32:32.3577116Z             }
2022-11-23T01:32:32.3577185Z             
2022-11-23T01:32:32.3577449Z [2022-11-23 01:30:24,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 752
2022-11-23T01:32:32.3577702Z [2022-11-23 01:30:24,748] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3578067Z [2022-11-23 01:30:24,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/js/cjsozdmbwuikqd5wilmlcaf4rsl6naeufwg6bqu64uim76jbqgxm.py
2022-11-23T01:32:32.3578339Z [2022-11-23 01:30:24,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 752
2022-11-23T01:32:32.3578580Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3579075Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3579304Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3579561Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3579839Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3580158Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3580514Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3580842Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3581221Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922> 
2022-11-23T01:32:32.3581329Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3581430Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3581525Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T01:32:32.3581627Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T01:32:32.3581726Z               8 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3581875Z              10 LOAD_CONST               2 (40)
2022-11-23T01:32:32.3581976Z              12 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3582073Z              14 CALL_FUNCTION            3
2022-11-23T01:32:32.3582170Z              16 CALL_FUNCTION            1
2022-11-23T01:32:32.3582260Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3582363Z              20 LOAD_ATTR                4 (device)
2022-11-23T01:32:32.3582522Z              22 LOAD_CONST               3 (('device',))
2022-11-23T01:32:32.3582619Z              24 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3582716Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3582795Z              28 BINARY_ADD
2022-11-23T01:32:32.3582879Z              30 RETURN_VALUE
2022-11-23T01:32:32.3582939Z  
2022-11-23T01:32:32.3582951Z 
2022-11-23T01:32:32.3583260Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923
2022-11-23T01:32:32.3583496Z [2022-11-23 01:30:24,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3583868Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3584236Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3584604Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:32.3584993Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:32.3585423Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:32.3585882Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3586377Z [2022-11-23 01:30:24,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3586756Z [2022-11-23 01:30:24,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:32.3587095Z [2022-11-23 01:30:24,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3587466Z [2022-11-23 01:30:24,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3587854Z [2022-11-23 01:30:24,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3588274Z [2022-11-23 01:30:24,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3588535Z [2022-11-23 01:30:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.3588811Z [2022-11-23 01:30:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3589062Z [2022-11-23 01:30:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3589436Z [2022-11-23 01:30:24,820] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922>
2022-11-23T01:32:32.3589689Z [2022-11-23 01:30:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.3589930Z [2022-11-23 01:30:24,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3590188Z [2022-11-23 01:30:24,821] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3590530Z [2022-11-23 01:30:24,824] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3590733Z [2022-11-23 01:30:24,824] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3590869Z  __compiled_fn_771 <eval_with_key>.4746 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3590967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3591339Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3591526Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:32.3591629Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.3591634Z 
2022-11-23T01:32:32.3591963Z [2022-11-23 01:30:24,824] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3592071Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3592170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3592267Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3592362Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3592456Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3592553Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3592635Z              12 RETURN_VALUE
2022-11-23T01:32:32.3592642Z 
2022-11-23T01:32:32.3592709Z  
2022-11-23T01:32:32.3593030Z [2022-11-23 01:30:24,824] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3593152Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_771)
2022-11-23T01:32:32.3593251Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3593343Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3593430Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3593525Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3593624Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.3593705Z              12 RETURN_VALUE
2022-11-23T01:32:32.3593710Z 
2022-11-23T01:32:32.3593776Z  
2022-11-23T01:32:32.3593969Z [2022-11-23 01:30:24,825] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3594039Z  - 
2022-11-23T01:32:32.3594166Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3594241Z             {
2022-11-23T01:32:32.3594390Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3594584Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3594711Z                 'obj_weakref': None
2022-11-23T01:32:32.3594939Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3595003Z             }
2022-11-23T01:32:32.3595072Z             
2022-11-23T01:32:32.3595182Z  - 
2022-11-23T01:32:32.3595314Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3595383Z             {
2022-11-23T01:32:32.3595529Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3595707Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3595916Z                 'obj_weakref': <weakref at 0x7f1fd83c0400; to 'Tensor' at 0x7f2022eb8540>
2022-11-23T01:32:32.3596174Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3596245Z             }
2022-11-23T01:32:32.3596315Z             
2022-11-23T01:32:32.3596392Z  - 
2022-11-23T01:32:32.3596521Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3596591Z             {
2022-11-23T01:32:32.3596734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3596847Z                 'code': None,
2022-11-23T01:32:32.3597062Z                 'obj_weakref': <weakref at 0x7f1fd83c0400; to 'Tensor' at 0x7f2022eb8540>
2022-11-23T01:32:32.3597321Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3597392Z             }
2022-11-23T01:32:32.3597462Z             
2022-11-23T01:32:32.3597539Z  - 
2022-11-23T01:32:32.3597670Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3597741Z             {
2022-11-23T01:32:32.3597882Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3598087Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3598215Z                 'obj_weakref': None
2022-11-23T01:32:32.3598450Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3598519Z             }
2022-11-23T01:32:32.3598582Z             
2022-11-23T01:32:32.3598659Z  - 
2022-11-23T01:32:32.3598788Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3598858Z             {
2022-11-23T01:32:32.3599003Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3599225Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3599350Z                 'obj_weakref': None
2022-11-23T01:32:32.3599569Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3599639Z             }
2022-11-23T01:32:32.3599708Z             
2022-11-23T01:32:32.3599784Z  - 
2022-11-23T01:32:32.3599925Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:32.3599996Z             {
2022-11-23T01:32:32.3600123Z                 'guard_types': None,
2022-11-23T01:32:32.3600229Z                 'code': None,
2022-11-23T01:32:32.3600354Z                 'obj_weakref': None
2022-11-23T01:32:32.3600480Z                 'guarded_class': None
2022-11-23T01:32:32.3600550Z             }
2022-11-23T01:32:32.3600619Z             
2022-11-23T01:32:32.3600696Z  - 
2022-11-23T01:32:32.3600826Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:32.3600899Z             {
2022-11-23T01:32:32.3601024Z                 'guard_types': None,
2022-11-23T01:32:32.3601138Z                 'code': None,
2022-11-23T01:32:32.3601263Z                 'obj_weakref': None
2022-11-23T01:32:32.3601391Z                 'guarded_class': None
2022-11-23T01:32:32.3601460Z             }
2022-11-23T01:32:32.3601522Z             
2022-11-23T01:32:32.3601597Z  - 
2022-11-23T01:32:32.3601736Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3601808Z             {
2022-11-23T01:32:32.3601934Z                 'guard_types': None,
2022-11-23T01:32:32.3602046Z                 'code': None,
2022-11-23T01:32:32.3602171Z                 'obj_weakref': None
2022-11-23T01:32:32.3602290Z                 'guarded_class': None
2022-11-23T01:32:32.3602360Z             }
2022-11-23T01:32:32.3602430Z             
2022-11-23T01:32:32.3602700Z [2022-11-23 01:30:24,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 753
2022-11-23T01:32:32.3602990Z [2022-11-23 01:30:24,836] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3603358Z [2022-11-23 01:30:24,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gx/cgxslbgxyo3gm4ezx4gwtq24phf57rviwg4euye4chuezqeglin2.py
2022-11-23T01:32:32.3603631Z [2022-11-23 01:30:24,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 753
2022-11-23T01:32:32.3603637Z 
2022-11-23T01:32:32.3603743Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3603812Z import torch
2022-11-23T01:32:32.3603888Z import random
2022-11-23T01:32:32.3604012Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3604144Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3604149Z 
2022-11-23T01:32:32.3604232Z aten = torch.ops.aten
2022-11-23T01:32:32.3604375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3604479Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3604484Z 
2022-11-23T01:32:32.3604553Z import triton
2022-11-23T01:32:32.3604653Z import triton.language as tl
2022-11-23T01:32:32.3604783Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3604929Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3605094Z constant0 = None  # 00601f3c4f47596913f89a8bc54b1f5991da93d930cde1b0ac60c4341d62906d
2022-11-23T01:32:32.3605100Z 
2022-11-23T01:32:32.3605104Z 
2022-11-23T01:32:32.3605316Z triton_fused_lift_fresh_copy_add0 = async_compile.triton('''
2022-11-23T01:32:32.3605395Z import triton
2022-11-23T01:32:32.3605489Z import triton.language as tl
2022-11-23T01:32:32.3605600Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3605711Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3605849Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3605980Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3605990Z 
2022-11-23T01:32:32.3606379Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.3606455Z @triton.jit
2022-11-23T01:32:32.3606602Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3606678Z     xnumel = 19
2022-11-23T01:32:32.3606774Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3606911Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3606997Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3607070Z     x0 = xindex
2022-11-23T01:32:32.3607171Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.3607313Z     tmp2 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:32.3607406Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.3607480Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3607622Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3607709Z ''')
2022-11-23T01:32:32.3607715Z 
2022-11-23T01:32:32.3607720Z 
2022-11-23T01:32:32.3607814Z async_compile.wait(globals())
2022-11-23T01:32:32.3607894Z del async_compile
2022-11-23T01:32:32.3607899Z 
2022-11-23T01:32:32.3607978Z def call(args):
2022-11-23T01:32:32.3608054Z     arg0_1, = args
2022-11-23T01:32:32.3608132Z     args.clear()
2022-11-23T01:32:32.3608327Z     buf0 = empty_strided((19, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3608421Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3608597Z     triton_fused_lift_fresh_copy_add0.run(constant0, arg0_1, buf0, 19, grid=grid(19), stream=stream0)
2022-11-23T01:32:32.3608672Z     del arg0_1
2022-11-23T01:32:32.3608751Z     return (buf0, )
2022-11-23T01:32:32.3608756Z 
2022-11-23T01:32:32.3608761Z 
2022-11-23T01:32:32.3608842Z if __name__ == "__main__":
2022-11-23T01:32:32.3608967Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3609124Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3609331Z     constant0 = rand_strided((19, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3609530Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3609647Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3609652Z 
2022-11-23T01:32:32.3609656Z 
2022-11-23T01:32:32.3609757Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3609836Z import torch
2022-11-23T01:32:32.3609913Z import random
2022-11-23T01:32:32.3610037Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3610157Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3610171Z 
2022-11-23T01:32:32.3610248Z aten = torch.ops.aten
2022-11-23T01:32:32.3610392Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3610490Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3610498Z 
2022-11-23T01:32:32.3610576Z import triton
2022-11-23T01:32:32.3610670Z import triton.language as tl
2022-11-23T01:32:32.3610800Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3610947Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3611103Z constant0 = None  # 00601f3c4f47596913f89a8bc54b1f5991da93d930cde1b0ac60c4341d62906d
2022-11-23T01:32:32.3611108Z 
2022-11-23T01:32:32.3611119Z 
2022-11-23T01:32:32.3611323Z triton_fused_add_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:32.3611401Z import triton
2022-11-23T01:32:32.3611496Z import triton.language as tl
2022-11-23T01:32:32.3611617Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3611725Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3611866Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3611998Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3612003Z 
2022-11-23T01:32:32.3612388Z @pointwise(size_hints=[32], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.3612468Z @triton.jit
2022-11-23T01:32:32.3612616Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3612692Z     xnumel = 19
2022-11-23T01:32:32.3612793Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3612933Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3613019Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3613092Z     x0 = xindex
2022-11-23T01:32:32.3613185Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.3613337Z     tmp2 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:32.3613428Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.3613512Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.3613651Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.3613742Z ''')
2022-11-23T01:32:32.3613747Z 
2022-11-23T01:32:32.3613752Z 
2022-11-23T01:32:32.3613845Z async_compile.wait(globals())
2022-11-23T01:32:32.3613918Z del async_compile
2022-11-23T01:32:32.3613923Z 
2022-11-23T01:32:32.3614001Z def call(args):
2022-11-23T01:32:32.3614077Z     arg0_1, = args
2022-11-23T01:32:32.3614155Z     args.clear()
2022-11-23T01:32:32.3614352Z     buf0 = empty_strided((19, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3614450Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3614623Z     triton_fused_add_lift_fresh_copy0.run(constant0, arg0_1, buf0, 19, grid=grid(19), stream=stream0)
2022-11-23T01:32:32.3614691Z     del arg0_1
2022-11-23T01:32:32.3614769Z     return (buf0, )
2022-11-23T01:32:32.3614774Z 
2022-11-23T01:32:32.3614779Z 
2022-11-23T01:32:32.3614859Z if __name__ == "__main__":
2022-11-23T01:32:32.3614981Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3615156Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3615358Z     constant0 = rand_strided((19, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3615555Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3615674Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3615679Z 
2022-11-23T01:32:32.3615745Z ok (0.180s)
2022-11-23T01:32:32.3616061Z   test_tensor3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:24,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3616379Z [2022-11-23 01:30:24,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3616607Z [2022-11-23 01:30:24,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3616870Z [2022-11-23 01:30:24,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3617153Z [2022-11-23 01:30:24,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3617472Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3617841Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3618165Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3618537Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928> 
2022-11-23T01:32:32.3618642Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3618739Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3618965Z               4 BUILD_LIST               0
2022-11-23T01:32:32.3619066Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3619166Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3619324Z              10 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3619424Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3619429Z 
2022-11-23T01:32:32.3619534Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3619624Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3619720Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3619817Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3619909Z              22 BUILD_LIST               2
2022-11-23T01:32:32.3620004Z              24 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3620103Z              26 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3620258Z              28 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3620348Z              30 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3620445Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3620525Z              34 BINARY_ADD
2022-11-23T01:32:32.3620530Z 
2022-11-23T01:32:32.3620630Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3620728Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3620824Z              40 BUILD_LIST               0
2022-11-23T01:32:32.3620927Z              42 LOAD_CONST               4 ((1, 2, 3))
2022-11-23T01:32:32.3621024Z              44 LIST_EXTEND              1
2022-11-23T01:32:32.3621112Z              46 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3621211Z              48 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3621366Z              50 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3621465Z              52 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3621611Z              54 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3621690Z              56 BINARY_ADD
2022-11-23T01:32:32.3621695Z 
2022-11-23T01:32:32.3621794Z 933          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3621884Z              60 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3621978Z              62 BUILD_LIST               0
2022-11-23T01:32:32.3622084Z              64 LOAD_CONST               5 ((1, 2, 3, 4))
2022-11-23T01:32:32.3622179Z              66 LIST_EXTEND              1
2022-11-23T01:32:32.3622276Z              68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3622373Z              70 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3622525Z              72 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3622623Z              74 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3622712Z              76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3622791Z              78 BINARY_ADD
2022-11-23T01:32:32.3622799Z 
2022-11-23T01:32:32.3622900Z 929          80 BUILD_TUPLE              4
2022-11-23T01:32:32.3622981Z              82 RETURN_VALUE
2022-11-23T01:32:32.3623049Z  
2022-11-23T01:32:32.3623054Z 
2022-11-23T01:32:32.3623369Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930
2022-11-23T01:32:32.3623595Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3623995Z [2022-11-23 01:30:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3624315Z [2022-11-23 01:30:24,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3624656Z [2022-11-23 01:30:24,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3625034Z [2022-11-23 01:30:24,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3625426Z [2022-11-23 01:30:24,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3625850Z [2022-11-23 01:30:24,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3626162Z [2022-11-23 01:30:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931
2022-11-23T01:32:32.3626416Z [2022-11-23 01:30:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.3626812Z [2022-11-23 01:30:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3627163Z [2022-11-23 01:30:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3627541Z [2022-11-23 01:30:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3627954Z [2022-11-23 01:30:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3628363Z [2022-11-23 01:30:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3628765Z [2022-11-23 01:30:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3629184Z [2022-11-23 01:30:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3629637Z [2022-11-23 01:30:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3629901Z [2022-11-23 01:30:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3630212Z [2022-11-23 01:30:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3630620Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932
2022-11-23T01:32:32.3630930Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3631360Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3631741Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3632156Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3632605Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3633004Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3633429Z [2022-11-23 01:30:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3633876Z [2022-11-23 01:30:24,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3634353Z [2022-11-23 01:30:24,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3634651Z [2022-11-23 01:30:24,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3634987Z [2022-11-23 01:30:24,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3635332Z [2022-11-23 01:30:24,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933
2022-11-23T01:32:32.3635634Z [2022-11-23 01:30:24,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3636092Z [2022-11-23 01:30:24,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3636497Z [2022-11-23 01:30:24,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3636941Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3637418Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3637875Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3638335Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3638812Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3639331Z [2022-11-23 01:30:24,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3639653Z [2022-11-23 01:30:24,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3640013Z [2022-11-23 01:30:24,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3640333Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929
2022-11-23T01:32:32.3640664Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3640923Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3641310Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928>
2022-11-23T01:32:32.3641556Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3641799Z [2022-11-23 01:30:24,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3642065Z [2022-11-23 01:30:24,923] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3642349Z [2022-11-23 01:30:24,928] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3642548Z [2022-11-23 01:30:24,928] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3642696Z  __compiled_fn_772 <eval_with_key>.4752 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3642794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3643087Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3643385Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3643565Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T01:32:32.3643861Z call_function, tensor_2, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3644051Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T01:32:32.3644348Z call_function, tensor_3, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3, 4],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3644543Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T01:32:32.3644674Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T01:32:32.3644680Z 
2022-11-23T01:32:32.3645038Z [2022-11-23 01:30:24,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3645144Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3645245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3645334Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3645438Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3645532Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3645633Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3645716Z              12 RETURN_VALUE
2022-11-23T01:32:32.3645721Z 
2022-11-23T01:32:32.3645789Z  
2022-11-23T01:32:32.3646120Z [2022-11-23 01:30:24,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3646241Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_772)
2022-11-23T01:32:32.3646335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3646435Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3646520Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3646616Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3646730Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3646848Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3646946Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3647025Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3647138Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3647237Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3647322Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3647433Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3647530Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3647614Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.3647722Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3647819Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.3647904Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.3648000Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.3648084Z              38 RETURN_VALUE
2022-11-23T01:32:32.3648089Z 
2022-11-23T01:32:32.3648157Z  
2022-11-23T01:32:32.3648348Z [2022-11-23 01:30:24,929] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3648446Z  - 
2022-11-23T01:32:32.3648572Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3648643Z             {
2022-11-23T01:32:32.3648791Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3648986Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3649112Z                 'obj_weakref': None
2022-11-23T01:32:32.3649338Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3649405Z             }
2022-11-23T01:32:32.3649474Z             
2022-11-23T01:32:32.3649552Z  - 
2022-11-23T01:32:32.3649682Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3649752Z             {
2022-11-23T01:32:32.3649898Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3650080Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3650293Z                 'obj_weakref': <weakref at 0x7f1ffadc2020; to 'Tensor' at 0x7f2151f18540>
2022-11-23T01:32:32.3650552Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3650622Z             }
2022-11-23T01:32:32.3650691Z             
2022-11-23T01:32:32.3650768Z  - 
2022-11-23T01:32:32.3650899Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3650969Z             {
2022-11-23T01:32:32.3651113Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3651255Z                 'code': None,
2022-11-23T01:32:32.3651474Z                 'obj_weakref': <weakref at 0x7f1ffadc2020; to 'Tensor' at 0x7f2151f18540>
2022-11-23T01:32:32.3651730Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3651801Z             }
2022-11-23T01:32:32.3651870Z             
2022-11-23T01:32:32.3651951Z  - 
2022-11-23T01:32:32.3652082Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3652151Z             {
2022-11-23T01:32:32.3652297Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3652476Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3652604Z                 'obj_weakref': None
2022-11-23T01:32:32.3652839Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3652908Z             }
2022-11-23T01:32:32.3652970Z             
2022-11-23T01:32:32.3653052Z  - 
2022-11-23T01:32:32.3653184Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3653255Z             {
2022-11-23T01:32:32.3653399Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3653624Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3653751Z                 'obj_weakref': None
2022-11-23T01:32:32.3653971Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3654043Z             }
2022-11-23T01:32:32.3654114Z             
2022-11-23T01:32:32.3654189Z  - 
2022-11-23T01:32:32.3654330Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3662775Z             {
2022-11-23T01:32:32.3662952Z                 'guard_types': None,
2022-11-23T01:32:32.3663066Z                 'code': None,
2022-11-23T01:32:32.3663183Z                 'obj_weakref': None
2022-11-23T01:32:32.3663310Z                 'guarded_class': None
2022-11-23T01:32:32.3663380Z             }
2022-11-23T01:32:32.3663455Z             
2022-11-23T01:32:32.3663722Z [2022-11-23 01:30:24,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 754
2022-11-23T01:32:32.3663976Z [2022-11-23 01:30:24,951] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3664220Z [2022-11-23 01:30:24,952] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.3664464Z [2022-11-23 01:30:24,954] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.3664914Z [2022-11-23 01:30:25,117] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4w/c4wzysvmcwichnm4rsmszk5k2egnddicesdcen3kacbiuoiitdb5.py
2022-11-23T01:32:32.3665183Z [2022-11-23 01:30:25,117] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 754
2022-11-23T01:32:32.3665423Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3665741Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3665962Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3666218Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3666500Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3666826Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3667175Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3667544Z [2022-11-23 01:30:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3667917Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928> 
2022-11-23T01:32:32.3668025Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3668124Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3668223Z               4 BUILD_LIST               0
2022-11-23T01:32:32.3668322Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3668420Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3668576Z              10 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3668674Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3668680Z 
2022-11-23T01:32:32.3668772Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3668871Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3668966Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3669060Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3669153Z              22 BUILD_LIST               2
2022-11-23T01:32:32.3669247Z              24 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3669345Z              26 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3669494Z              28 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3669593Z              30 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3669688Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3669766Z              34 BINARY_ADD
2022-11-23T01:32:32.3669772Z 
2022-11-23T01:32:32.3669870Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3669965Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3670057Z              40 BUILD_LIST               0
2022-11-23T01:32:32.3670160Z              42 LOAD_CONST               4 ((1, 2, 3))
2022-11-23T01:32:32.3670359Z              44 LIST_EXTEND              1
2022-11-23T01:32:32.3670468Z              46 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3670576Z              48 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3670751Z              50 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3670859Z              52 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3670966Z              54 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3671631Z              56 BINARY_ADD
2022-11-23T01:32:32.3671638Z 
2022-11-23T01:32:32.3671739Z 933          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3671837Z              60 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:32.3671930Z              62 BUILD_LIST               0
2022-11-23T01:32:32.3672034Z              64 LOAD_CONST               5 ((1, 2, 3, 4))
2022-11-23T01:32:32.3672129Z              66 LIST_EXTEND              1
2022-11-23T01:32:32.3672225Z              68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3672318Z              70 LOAD_ATTR                2 (device)
2022-11-23T01:32:32.3672471Z              72 LOAD_CONST               1 (('device',))
2022-11-23T01:32:32.3672559Z              74 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.3672653Z              76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.3672730Z              78 BINARY_ADD
2022-11-23T01:32:32.3672735Z 
2022-11-23T01:32:32.3672827Z 929          80 BUILD_TUPLE              4
2022-11-23T01:32:32.3672911Z              82 RETURN_VALUE
2022-11-23T01:32:32.3672977Z  
2022-11-23T01:32:32.3672983Z 
2022-11-23T01:32:32.3673296Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930
2022-11-23T01:32:32.3673518Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3673915Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3674246Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3674587Z [2022-11-23 01:30:25,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3674964Z [2022-11-23 01:30:25,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3675352Z [2022-11-23 01:30:25,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3675779Z [2022-11-23 01:30:25,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3676093Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931
2022-11-23T01:32:32.3676343Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.3676735Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3677079Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3677456Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.3677873Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3678234Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3678650Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3679065Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3679513Z [2022-11-23 01:30:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3679782Z [2022-11-23 01:30:25,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3680092Z [2022-11-23 01:30:25,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3680401Z [2022-11-23 01:30:25,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932
2022-11-23T01:32:32.3680698Z [2022-11-23 01:30:25,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3681118Z [2022-11-23 01:30:25,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3681492Z [2022-11-23 01:30:25,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3681895Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3682332Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3682726Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3683149Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3683588Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3684064Z [2022-11-23 01:30:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3684358Z [2022-11-23 01:30:25,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3684682Z [2022-11-23 01:30:25,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3684993Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933
2022-11-23T01:32:32.3685320Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3685765Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3686161Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.3686590Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3687050Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3687503Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.3687953Z [2022-11-23 01:30:25,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TensorVariable()]
2022-11-23T01:32:32.3688417Z [2022-11-23 01:30:25,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0)]
2022-11-23T01:32:32.3688922Z [2022-11-23 01:30:25,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f209c394c60>), ListVariable(), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.3689239Z [2022-11-23 01:30:25,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3689587Z [2022-11-23 01:30:25,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3689895Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929
2022-11-23T01:32:32.3690216Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3690464Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3690831Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f43470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928>
2022-11-23T01:32:32.3691077Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3691315Z [2022-11-23 01:30:25,130] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3691572Z [2022-11-23 01:30:25,132] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3691825Z [2022-11-23 01:30:25,137] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3692044Z [2022-11-23 01:30:25,137] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3692185Z  __compiled_fn_773 <eval_with_key>.4758 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3692281Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3692570Z call_function, tensor, <built-in method tensor of type object at 0x7f209c394c60>, ([],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3692854Z call_function, tensor_1, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3693040Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T01:32:32.3693327Z call_function, tensor_2, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3693514Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T01:32:32.3693808Z call_function, tensor_3, <built-in method tensor of type object at 0x7f209c394c60>, ([1, 2, 3, 4],), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.3694000Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T01:32:32.3694127Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T01:32:32.3694133Z 
2022-11-23T01:32:32.3694486Z [2022-11-23 01:30:25,137] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3694589Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3694680Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3694775Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3694875Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3694968Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3695063Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3695147Z              12 RETURN_VALUE
2022-11-23T01:32:32.3695152Z 
2022-11-23T01:32:32.3695217Z  
2022-11-23T01:32:32.3695531Z [2022-11-23 01:30:25,137] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3695649Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_773)
2022-11-23T01:32:32.3695745Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3695845Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3695928Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3696021Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.3696133Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3696243Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3696332Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3696416Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.3696528Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3696626Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3696708Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.3696814Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3696909Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3696983Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.3697095Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3697190Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.3697271Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.3697365Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.3697445Z              38 RETURN_VALUE
2022-11-23T01:32:32.3697450Z 
2022-11-23T01:32:32.3697515Z  
2022-11-23T01:32:32.3697696Z [2022-11-23 01:30:25,138] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3697772Z  - 
2022-11-23T01:32:32.3697896Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3697993Z             {
2022-11-23T01:32:32.3698139Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3698330Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.3698453Z                 'obj_weakref': None
2022-11-23T01:32:32.3698673Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3698744Z             }
2022-11-23T01:32:32.3698958Z             
2022-11-23T01:32:32.3699040Z  - 
2022-11-23T01:32:32.3699168Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.3699238Z             {
2022-11-23T01:32:32.3699380Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.3699547Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.3699760Z                 'obj_weakref': <weakref at 0x7f1fe0304720; to 'Tensor' at 0x7f201e6eb6f0>
2022-11-23T01:32:32.3700009Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3700084Z             }
2022-11-23T01:32:32.3700151Z             
2022-11-23T01:32:32.3700227Z  - 
2022-11-23T01:32:32.3700354Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3700416Z             {
2022-11-23T01:32:32.3700564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3700674Z                 'code': None,
2022-11-23T01:32:32.3700927Z                 'obj_weakref': <weakref at 0x7f1fe0304720; to 'Tensor' at 0x7f201e6eb6f0>
2022-11-23T01:32:32.3701179Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3701248Z             }
2022-11-23T01:32:32.3701318Z             
2022-11-23T01:32:32.3701387Z  - 
2022-11-23T01:32:32.3701521Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3701590Z             {
2022-11-23T01:32:32.3701729Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3701908Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3702032Z                 'obj_weakref': None
2022-11-23T01:32:32.3702293Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3702363Z             }
2022-11-23T01:32:32.3702448Z             
2022-11-23T01:32:32.3702525Z  - 
2022-11-23T01:32:32.3702649Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3702719Z             {
2022-11-23T01:32:32.3702861Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3703082Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3703198Z                 'obj_weakref': None
2022-11-23T01:32:32.3703422Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3703494Z             }
2022-11-23T01:32:32.3703562Z             
2022-11-23T01:32:32.3703641Z  - 
2022-11-23T01:32:32.3703782Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3703850Z             {
2022-11-23T01:32:32.3703969Z                 'guard_types': None,
2022-11-23T01:32:32.3704080Z                 'code': None,
2022-11-23T01:32:32.3704201Z                 'obj_weakref': None
2022-11-23T01:32:32.3704325Z                 'guarded_class': None
2022-11-23T01:32:32.3704393Z             }
2022-11-23T01:32:32.3704460Z             
2022-11-23T01:32:32.3704725Z [2022-11-23 01:30:25,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 755
2022-11-23T01:32:32.3704973Z [2022-11-23 01:30:25,159] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3705222Z [2022-11-23 01:30:25,161] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.3705470Z [2022-11-23 01:30:25,162] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.3705524Z 
2022-11-23T01:32:32.3705627Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3705700Z import torch
2022-11-23T01:32:32.3705775Z import random
2022-11-23T01:32:32.3705897Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3706024Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3706029Z 
2022-11-23T01:32:32.3706106Z aten = torch.ops.aten
2022-11-23T01:32:32.3706247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3706348Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3706353Z 
2022-11-23T01:32:32.3706427Z import triton
2022-11-23T01:32:32.3706521Z import triton.language as tl
2022-11-23T01:32:32.3706649Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3706791Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3706797Z 
2022-11-23T01:32:32.3706801Z 
2022-11-23T01:32:32.3706990Z triton_fused_lift_fresh_copy_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.3707061Z import triton
2022-11-23T01:32:32.3707157Z import triton.language as tl
2022-11-23T01:32:32.3707273Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3707377Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3707513Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3707640Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3707646Z 
2022-11-23T01:32:32.3708027Z @pointwise(size_hints=[2], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3708103Z @triton.jit
2022-11-23T01:32:32.3708222Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3708295Z     xnumel = 2
2022-11-23T01:32:32.3708394Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3708525Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3708608Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3708682Z     x0 = xindex
2022-11-23T01:32:32.3708753Z     tmp0 = x0
2022-11-23T01:32:32.3708818Z     tmp1 = 1
2022-11-23T01:32:32.3708898Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3708970Z     tmp3 = 2
2022-11-23T01:32:32.3709068Z     tmp4 = tl.where(tmp2, tmp1, tmp3)
2022-11-23T01:32:32.3709147Z     tmp5 = tmp4 + tmp1
2022-11-23T01:32:32.3709284Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.3709365Z ''')
2022-11-23T01:32:32.3709380Z 
2022-11-23T01:32:32.3709385Z 
2022-11-23T01:32:32.3709566Z triton_fused_lift_fresh_copy_2_add_11 = async_compile.triton('''
2022-11-23T01:32:32.3709643Z import triton
2022-11-23T01:32:32.3709737Z import triton.language as tl
2022-11-23T01:32:32.3709852Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3709954Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3710088Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3710214Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3710222Z 
2022-11-23T01:32:32.3710674Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3710741Z @triton.jit
2022-11-23T01:32:32.3710864Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3710940Z     xnumel = 3
2022-11-23T01:32:32.3711041Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3711171Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3711256Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3711327Z     x0 = xindex
2022-11-23T01:32:32.3711392Z     tmp0 = x0
2022-11-23T01:32:32.3711462Z     tmp1 = 1
2022-11-23T01:32:32.3711542Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3711613Z     tmp3 = 2
2022-11-23T01:32:32.3711691Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.3711762Z     tmp5 = 3
2022-11-23T01:32:32.3711883Z     tmp6 = tl.where(tmp4, tmp3, tmp5)
2022-11-23T01:32:32.3711979Z     tmp7 = tl.where(tmp2, tmp1, tmp6)
2022-11-23T01:32:32.3712057Z     tmp8 = tmp7 + tmp3
2022-11-23T01:32:32.3712196Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.3712284Z ''')
2022-11-23T01:32:32.3712290Z 
2022-11-23T01:32:32.3712294Z 
2022-11-23T01:32:32.3712484Z triton_fused_add_2_lift_fresh_copy_32 = async_compile.triton('''
2022-11-23T01:32:32.3712558Z import triton
2022-11-23T01:32:32.3712653Z import triton.language as tl
2022-11-23T01:32:32.3712772Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3712891Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3713049Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3713176Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3713182Z 
2022-11-23T01:32:32.3713550Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3713626Z @triton.jit
2022-11-23T01:32:32.3713761Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3713833Z     xnumel = 4
2022-11-23T01:32:32.3713925Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3714056Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3714141Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3714244Z     x0 = xindex
2022-11-23T01:32:32.3714348Z     tmp12 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.3714421Z     tmp0 = x0
2022-11-23T01:32:32.3714485Z     tmp1 = 2
2022-11-23T01:32:32.3714564Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3714635Z     tmp3 = 1
2022-11-23T01:32:32.3714713Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.3714809Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:32.3714879Z     tmp6 = 3
2022-11-23T01:32:32.3714955Z     tmp7 = tmp0 < tmp6
2022-11-23T01:32:32.3715023Z     tmp8 = 4
2022-11-23T01:32:32.3715118Z     tmp9 = tl.where(tmp7, tmp6, tmp8)
2022-11-23T01:32:32.3715215Z     tmp10 = tl.where(tmp2, tmp5, tmp9)
2022-11-23T01:32:32.3715307Z     tmp11 = tmp10.to(tl.float32)
2022-11-23T01:32:32.3715389Z     tmp13 = tmp11 + tmp12
2022-11-23T01:32:32.3715529Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.3715618Z ''')
2022-11-23T01:32:32.3715623Z 
2022-11-23T01:32:32.3715628Z 
2022-11-23T01:32:32.3715717Z async_compile.wait(globals())
2022-11-23T01:32:32.3715794Z del async_compile
2022-11-23T01:32:32.3715799Z 
2022-11-23T01:32:32.3715874Z def call(args):
2022-11-23T01:32:32.3715948Z     arg0_1, = args
2022-11-23T01:32:32.3716024Z     args.clear()
2022-11-23T01:32:32.3716224Z     buf0 = empty_strided((0, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3716415Z     buf1 = empty_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3716505Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3716653Z     triton_fused_lift_fresh_copy_1_add0.run(buf1, 2, grid=grid(2), stream=stream0)
2022-11-23T01:32:32.3716844Z     buf2 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3716995Z     triton_fused_lift_fresh_copy_2_add_11.run(buf2, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:32.3717188Z     buf3 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3717347Z     triton_fused_add_2_lift_fresh_copy_32.run(arg0_1, buf3, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.3717421Z     del arg0_1
2022-11-23T01:32:32.3717514Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.3717519Z 
2022-11-23T01:32:32.3717524Z 
2022-11-23T01:32:32.3717604Z if __name__ == "__main__":
2022-11-23T01:32:32.3717717Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3717848Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3718049Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3718198Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3718204Z 
2022-11-23T01:32:32.3718578Z [2022-11-23 01:30:25,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/si/csirmnow3kqj4opc5wtb5lozdomy7yxpfbux63sxktbia5ktsf5v.py
2022-11-23T01:32:32.3718851Z [2022-11-23 01:30:25,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 755
2022-11-23T01:32:32.3718857Z 
2022-11-23T01:32:32.3718959Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3719035Z import torch
2022-11-23T01:32:32.3719104Z import random
2022-11-23T01:32:32.3719225Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3719352Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3719357Z 
2022-11-23T01:32:32.3719439Z aten = torch.ops.aten
2022-11-23T01:32:32.3719579Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3719677Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3719684Z 
2022-11-23T01:32:32.3719758Z import triton
2022-11-23T01:32:32.3719851Z import triton.language as tl
2022-11-23T01:32:32.3719973Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3720117Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3720122Z 
2022-11-23T01:32:32.3720127Z 
2022-11-23T01:32:32.3720317Z triton_fused_lift_fresh_copy_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.3720391Z import triton
2022-11-23T01:32:32.3720511Z import triton.language as tl
2022-11-23T01:32:32.3720629Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3720736Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3720867Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3720994Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3720999Z 
2022-11-23T01:32:32.3721359Z @pointwise(size_hints=[2], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3721436Z @triton.jit
2022-11-23T01:32:32.3721559Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3721631Z     xnumel = 2
2022-11-23T01:32:32.3721730Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3721864Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3721942Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3722016Z     x0 = xindex
2022-11-23T01:32:32.3722088Z     tmp0 = x0
2022-11-23T01:32:32.3722161Z     tmp1 = 1
2022-11-23T01:32:32.3722240Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3722311Z     tmp3 = 2
2022-11-23T01:32:32.3722408Z     tmp4 = tl.where(tmp2, tmp1, tmp3)
2022-11-23T01:32:32.3722481Z     tmp5 = tmp4 + tmp1
2022-11-23T01:32:32.3722617Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.3722703Z ''')
2022-11-23T01:32:32.3722708Z 
2022-11-23T01:32:32.3722715Z 
2022-11-23T01:32:32.3722904Z triton_fused_add_1_lift_fresh_copy_21 = async_compile.triton('''
2022-11-23T01:32:32.3722979Z import triton
2022-11-23T01:32:32.3723073Z import triton.language as tl
2022-11-23T01:32:32.3723193Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3723291Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3723425Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3723552Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3723560Z 
2022-11-23T01:32:32.3723904Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*i64', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.3723977Z @triton.jit
2022-11-23T01:32:32.3724100Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3724174Z     xnumel = 3
2022-11-23T01:32:32.3724274Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3724428Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3724511Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3724583Z     x0 = xindex
2022-11-23T01:32:32.3724654Z     tmp0 = x0
2022-11-23T01:32:32.3724726Z     tmp1 = 1
2022-11-23T01:32:32.3724805Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3724876Z     tmp3 = 2
2022-11-23T01:32:32.3724949Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.3725020Z     tmp5 = 3
2022-11-23T01:32:32.3725116Z     tmp6 = tl.where(tmp4, tmp3, tmp5)
2022-11-23T01:32:32.3725214Z     tmp7 = tl.where(tmp2, tmp1, tmp6)
2022-11-23T01:32:32.3725293Z     tmp8 = tmp7 + tmp3
2022-11-23T01:32:32.3725428Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.3725514Z ''')
2022-11-23T01:32:32.3725520Z 
2022-11-23T01:32:32.3725524Z 
2022-11-23T01:32:32.3725707Z triton_fused_add_2_lift_fresh_copy_32 = async_compile.triton('''
2022-11-23T01:32:32.3725782Z import triton
2022-11-23T01:32:32.3725876Z import triton.language as tl
2022-11-23T01:32:32.3725995Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3726097Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3726231Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.3726357Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3726362Z 
2022-11-23T01:32:32.3726756Z @pointwise(size_hints=[4], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.3726825Z @triton.jit
2022-11-23T01:32:32.3726958Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.3727031Z     xnumel = 4
2022-11-23T01:32:32.3727130Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3727262Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.3727347Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3727417Z     x0 = xindex
2022-11-23T01:32:32.3727533Z     tmp12 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.3727607Z     tmp0 = x0
2022-11-23T01:32:32.3727678Z     tmp1 = 2
2022-11-23T01:32:32.3727757Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.3727829Z     tmp3 = 1
2022-11-23T01:32:32.3727907Z     tmp4 = tmp0 < tmp3
2022-11-23T01:32:32.3728003Z     tmp5 = tl.where(tmp4, tmp3, tmp1)
2022-11-23T01:32:32.3728067Z     tmp6 = 3
2022-11-23T01:32:32.3728146Z     tmp7 = tmp0 < tmp6
2022-11-23T01:32:32.3728217Z     tmp8 = 4
2022-11-23T01:32:32.3728315Z     tmp9 = tl.where(tmp7, tmp6, tmp8)
2022-11-23T01:32:32.3728414Z     tmp10 = tl.where(tmp2, tmp5, tmp9)
2022-11-23T01:32:32.3728506Z     tmp11 = tmp10.to(tl.float32)
2022-11-23T01:32:32.3728581Z     tmp13 = tmp11 + tmp12
2022-11-23T01:32:32.3728718Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.3728807Z ''')
2022-11-23T01:32:32.3728813Z 
2022-11-23T01:32:32.3728817Z 
2022-11-23T01:32:32.3728911Z async_compile.wait(globals())
2022-11-23T01:32:32.3728992Z del async_compile
2022-11-23T01:32:32.3728997Z 
2022-11-23T01:32:32.3729072Z def call(args):
2022-11-23T01:32:32.3729145Z     arg0_1, = args
2022-11-23T01:32:32.3729220Z     args.clear()
2022-11-23T01:32:32.3729411Z     buf0 = empty_strided((0, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3729600Z     buf1 = empty_strided((2, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3729691Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3729844Z     triton_fused_lift_fresh_copy_1_add0.run(buf1, 2, grid=grid(2), stream=stream0)
2022-11-23T01:32:32.3730030Z     buf2 = empty_strided((3, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.3730184Z     triton_fused_add_1_lift_fresh_copy_21.run(buf2, 3, grid=grid(3), stream=stream0)
2022-11-23T01:32:32.3730373Z     buf3 = empty_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3730529Z     triton_fused_add_2_lift_fresh_copy_32.run(arg0_1, buf3, 4, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.3730622Z     del arg0_1
2022-11-23T01:32:32.3730717Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.3730722Z 
2022-11-23T01:32:32.3730726Z 
2022-11-23T01:32:32.3730808Z if __name__ == "__main__":
2022-11-23T01:32:32.3730928Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3731056Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3731253Z     arg0_1 = rand_strided((4, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3731369Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.3731375Z 
2022-11-23T01:32:32.3731446Z ok (0.321s)
2022-11-23T01:32:32.3731772Z   test_tmp_not_defined_issue1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3732092Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3732316Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3732572Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3732849Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3733191Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3733536Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3733855Z [2022-11-23 01:30:25,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3734235Z [2022-11-23 01:30:25,244] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382> 
2022-11-23T01:32:32.3734342Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3734435Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3734536Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3734632Z                6 LOAD_ATTR                3 (var)
2022-11-23T01:32:32.3734735Z                8 LOAD_ATTR                4 (default)
2022-11-23T01:32:32.3734740Z 
2022-11-23T01:32:32.3734866Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T01:32:32.3734963Z               12 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3735057Z               14 BUILD_LIST               1
2022-11-23T01:32:32.3735153Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3735159Z 
2022-11-23T01:32:32.3735316Z 4390          18 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:32.3735418Z               20 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3735524Z               22 STORE_FAST               6 (var_default)
2022-11-23T01:32:32.3735530Z 
2022-11-23T01:32:32.3735631Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3735731Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3735828Z               28 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3735927Z               30 LOAD_ATTR                6 (sub)
2022-11-23T01:32:32.3736029Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3736129Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T01:32:32.3736235Z               36 LOAD_FAST                4 (div_default)
2022-11-23T01:32:32.3736329Z               38 CALL_METHOD              2
2022-11-23T01:32:32.3736438Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T01:32:32.3736443Z 
2022-11-23T01:32:32.3736574Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3736671Z               44 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3736767Z               46 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3736856Z               48 LOAD_ATTR                8 (mul)
2022-11-23T01:32:32.3736959Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3737063Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T01:32:32.3737182Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T01:32:32.3737276Z               56 CALL_METHOD              2
2022-11-23T01:32:32.3737386Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T01:32:32.3737392Z 
2022-11-23T01:32:32.3737492Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3737587Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3737679Z               64 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3737777Z               66 LOAD_ATTR                8 (mul)
2022-11-23T01:32:32.3737878Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3737985Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T01:32:32.3738091Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T01:32:32.3738185Z               74 CALL_METHOD              2
2022-11-23T01:32:32.3738294Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T01:32:32.3738300Z 
2022-11-23T01:32:32.3738416Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3738511Z               80 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3738609Z               82 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3738704Z               84 LOAD_ATTR                9 (add)
2022-11-23T01:32:32.3738998Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3739109Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T01:32:32.3739213Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T01:32:32.3739313Z               92 CALL_METHOD              2
2022-11-23T01:32:32.3739415Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T01:32:32.3739420Z 
2022-11-23T01:32:32.3739520Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3739615Z               98 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3739714Z              100 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3739835Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:32.3739937Z              104 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3739942Z 
2022-11-23T01:32:32.3740047Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T01:32:32.3740149Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3740244Z              110 LOAD_ATTR               11 (float32)
2022-11-23T01:32:32.3740249Z 
2022-11-23T01:32:32.3740342Z 4398         112 CALL_METHOD              2
2022-11-23T01:32:32.3740352Z 
2022-11-23T01:32:32.3740482Z 4397         114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T01:32:32.3740488Z 
2022-11-23T01:32:32.3740586Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3740683Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3740781Z              120 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3740900Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:32.3741005Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3741010Z 
2022-11-23T01:32:32.3741142Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T01:32:32.3741235Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3741337Z              130 LOAD_ATTR               11 (float32)
2022-11-23T01:32:32.3741343Z 
2022-11-23T01:32:32.3741439Z 4403         132 CALL_METHOD              2
2022-11-23T01:32:32.3741490Z 
2022-11-23T01:32:32.3741622Z 4402         134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T01:32:32.3741628Z 
2022-11-23T01:32:32.3741728Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3741826Z              138 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3741924Z              140 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3742020Z              142 LOAD_ATTR                3 (var)
2022-11-23T01:32:32.3742117Z              144 LOAD_ATTR                4 (default)
2022-11-23T01:32:32.3742122Z 
2022-11-23T01:32:32.3742248Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:32.3742345Z              148 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3742438Z              150 BUILD_LIST               1
2022-11-23T01:32:32.3742534Z              152 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3742539Z 
2022-11-23T01:32:32.3742710Z 4407         154 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:32.3742812Z              156 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3742925Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T01:32:32.3742930Z 
2022-11-23T01:32:32.3743024Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3743121Z              162 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3743221Z              164 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3743362Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T01:32:32.3743467Z              168 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3743472Z 
2022-11-23T01:32:32.3743581Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T01:32:32.3743675Z              172 BUILD_LIST               0
2022-11-23T01:32:32.3743780Z              174 LOAD_CONST               4 ((1, 512, 1))
2022-11-23T01:32:32.3743868Z              176 LIST_EXTEND              1
2022-11-23T01:32:32.3743964Z              178 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3744065Z              180 LOAD_CONST               5 (1)
2022-11-23T01:32:32.3744160Z              182 BUILD_LIST               2
2022-11-23T01:32:32.3744165Z 
2022-11-23T01:32:32.3744257Z 4410         184 CALL_METHOD              3
2022-11-23T01:32:32.3744383Z              186 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T01:32:32.3744389Z 
2022-11-23T01:32:32.3744488Z 4413         188 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3744588Z              190 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3744680Z              192 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3744775Z              194 LOAD_ATTR               13 (sum)
2022-11-23T01:32:32.3744878Z              196 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3744883Z 
2022-11-23T01:32:32.3745015Z 4414         198 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:32.3745110Z              200 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3745206Z              202 BUILD_LIST               1
2022-11-23T01:32:32.3745211Z 
2022-11-23T01:32:32.3745304Z 4413         204 CALL_METHOD              2
2022-11-23T01:32:32.3745415Z              206 STORE_FAST              15 (sum_default_1)
2022-11-23T01:32:32.3745421Z 
2022-11-23T01:32:32.3745514Z 4416         208 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3745610Z              210 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3745709Z              212 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3745806Z              214 LOAD_ATTR                9 (add)
2022-11-23T01:32:32.3745908Z              216 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3746033Z              218 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T01:32:32.3746180Z              220 LOAD_CONST               6 (1e-05)
2022-11-23T01:32:32.3746267Z              222 CALL_METHOD              2
2022-11-23T01:32:32.3746376Z              224 STORE_FAST              16 (add_tensor_3)
2022-11-23T01:32:32.3746407Z 
2022-11-23T01:32:32.3746515Z 4417         226 LOAD_FAST                6 (var_default)
2022-11-23T01:32:32.3746630Z              228 LOAD_FAST               15 (sum_default_1)
2022-11-23T01:32:32.3746738Z              230 LOAD_FAST               16 (add_tensor_3)
2022-11-23T01:32:32.3746834Z              232 BUILD_TUPLE              3
2022-11-23T01:32:32.3746919Z              234 RETURN_VALUE
2022-11-23T01:32:32.3746987Z  
2022-11-23T01:32:32.3746991Z 
2022-11-23T01:32:32.3747308Z [2022-11-23 01:30:25,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:32.3747533Z [2022-11-23 01:30:25,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3747895Z [2022-11-23 01:30:25,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3748198Z [2022-11-23 01:30:25,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3748507Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3748771Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:32.3749108Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391
2022-11-23T01:32:32.3749417Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T01:32:32.3749712Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:32.3750045Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3750474Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3750784Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:32.3751160Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3751560Z [2022-11-23 01:30:25,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.3751822Z [2022-11-23 01:30:25,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T01:32:32.3752137Z [2022-11-23 01:30:25,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393
2022-11-23T01:32:32.3752356Z [2022-11-23 01:30:25,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3752727Z [2022-11-23 01:30:25,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3753020Z [2022-11-23 01:30:25,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3753319Z [2022-11-23 01:30:25,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3753579Z [2022-11-23 01:30:25,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:32:32.3753883Z [2022-11-23 01:30:25,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:32:32.3754179Z [2022-11-23 01:30:25,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:32:32.3754500Z [2022-11-23 01:30:25,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3754755Z [2022-11-23 01:30:25,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T01:32:32.3755067Z [2022-11-23 01:30:25,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394
2022-11-23T01:32:32.3755286Z [2022-11-23 01:30:25,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3755645Z [2022-11-23 01:30:25,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3755941Z [2022-11-23 01:30:25,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3756261Z [2022-11-23 01:30:25,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3756520Z [2022-11-23 01:30:25,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3756792Z [2022-11-23 01:30:25,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3757104Z [2022-11-23 01:30:25,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3757420Z [2022-11-23 01:30:25,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3757675Z [2022-11-23 01:30:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T01:32:32.3757989Z [2022-11-23 01:30:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395
2022-11-23T01:32:32.3758213Z [2022-11-23 01:30:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3758578Z [2022-11-23 01:30:25,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3758870Z [2022-11-23 01:30:25,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3759178Z [2022-11-23 01:30:25,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3759439Z [2022-11-23 01:30:25,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3759719Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3760026Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3760342Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3760596Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T01:32:32.3760949Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396
2022-11-23T01:32:32.3761174Z [2022-11-23 01:30:25,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3761541Z [2022-11-23 01:30:25,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3761840Z [2022-11-23 01:30:25,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3762145Z [2022-11-23 01:30:25,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3762408Z [2022-11-23 01:30:25,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:32.3762691Z [2022-11-23 01:30:25,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:32.3762994Z [2022-11-23 01:30:25,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:32.3763321Z [2022-11-23 01:30:25,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3763594Z [2022-11-23 01:30:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T01:32:32.3763915Z [2022-11-23 01:30:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:32.3764138Z [2022-11-23 01:30:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3764499Z [2022-11-23 01:30:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3764805Z [2022-11-23 01:30:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3765137Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3765430Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:32.3765747Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399
2022-11-23T01:32:32.3766058Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:32.3766391Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:32.3766871Z [2022-11-23 01:30:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3767184Z [2022-11-23 01:30:25,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:32.3767552Z [2022-11-23 01:30:25,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.3767866Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397
2022-11-23T01:32:32.3768178Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T01:32:32.3768493Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:32.3768714Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3769077Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3769376Z [2022-11-23 01:30:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3769701Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3769987Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:32.3770295Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404
2022-11-23T01:32:32.3770651Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:32.3770981Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:32.3771443Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3771758Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:32.3772119Z [2022-11-23 01:30:25,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.3772428Z [2022-11-23 01:30:25,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402
2022-11-23T01:32:32.3772711Z [2022-11-23 01:30:25,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T01:32:32.3773021Z [2022-11-23 01:30:25,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:32.3773242Z [2022-11-23 01:30:25,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3773594Z [2022-11-23 01:30:25,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3773894Z [2022-11-23 01:30:25,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3774201Z [2022-11-23 01:30:25,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3774456Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:32.3774769Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408
2022-11-23T01:32:32.3775081Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T01:32:32.3775406Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:32.3775741Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3776061Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3776378Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:32.3776758Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3777170Z [2022-11-23 01:30:25,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.3777430Z [2022-11-23 01:30:25,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T01:32:32.3777770Z [2022-11-23 01:30:25,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:32.3777996Z [2022-11-23 01:30:25,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3778354Z [2022-11-23 01:30:25,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3778658Z [2022-11-23 01:30:25,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3779185Z [2022-11-23 01:30:25,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3779476Z [2022-11-23 01:30:25,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T01:32:32.3779791Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411
2022-11-23T01:32:32.3780098Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T01:32:32.3780413Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T01:32:32.3780763Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3781152Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3781492Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3781868Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3782281Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3782590Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:32.3783002Z [2022-11-23 01:30:25,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.3783286Z [2022-11-23 01:30:25,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T01:32:32.3783603Z [2022-11-23 01:30:25,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:32.3783826Z [2022-11-23 01:30:25,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3784191Z [2022-11-23 01:30:25,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3784488Z [2022-11-23 01:30:25,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3784793Z [2022-11-23 01:30:25,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3785061Z [2022-11-23 01:30:25,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T01:32:32.3785407Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414
2022-11-23T01:32:32.3785722Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T01:32:32.3786015Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T01:32:32.3786353Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3786671Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:32.3786999Z [2022-11-23 01:30:25,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3787262Z [2022-11-23 01:30:25,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:32.3787575Z [2022-11-23 01:30:25,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416
2022-11-23T01:32:32.3787797Z [2022-11-23 01:30:25,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3788161Z [2022-11-23 01:30:25,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3788458Z [2022-11-23 01:30:25,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3788767Z [2022-11-23 01:30:25,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3789022Z [2022-11-23 01:30:25,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:32.3789326Z [2022-11-23 01:30:25,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:32.3789619Z [2022-11-23 01:30:25,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:32.3789991Z [2022-11-23 01:30:25,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.3790305Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T01:32:32.3790657Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417
2022-11-23T01:32:32.3790908Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T01:32:32.3791162Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:32.3791447Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3791749Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3792004Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3792386Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382>
2022-11-23T01:32:32.3792670Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3792914Z [2022-11-23 01:30:25,328] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3793174Z [2022-11-23 01:30:25,330] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3793429Z [2022-11-23 01:30:25,340] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3793627Z [2022-11-23 01:30:25,341] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3793770Z  __compiled_fn_774 <eval_with_key>.4764 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3793867Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3793954Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3794046Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.3794138Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.3794228Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:32.3794319Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:32.3794535Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T01:32:32.3794672Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T01:32:32.3794818Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T01:32:32.3794954Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T01:32:32.3795092Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T01:32:32.3795293Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T01:32:32.3795512Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T01:32:32.3795773Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T01:32:32.3795959Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T01:32:32.3797256Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T01:32:32.3797500Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T01:32:32.3797644Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T01:32:32.3797650Z 
2022-11-23T01:32:32.3797983Z [2022-11-23 01:30:25,341] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3798126Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3798218Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3798313Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3798417Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3798510Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3798605Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3798688Z              12 RETURN_VALUE
2022-11-23T01:32:32.3798693Z 
2022-11-23T01:32:32.3798759Z  
2022-11-23T01:32:32.3799120Z [2022-11-23 01:30:25,341] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3799241Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_774)
2022-11-23T01:32:32.3799343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3799434Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3799517Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3799612Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3799705Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3799785Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3799878Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3799971Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3800051Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.3800138Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3800234Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:32.3800315Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.3800407Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3800500Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:32.3800579Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.3800675Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3800761Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:32.3800841Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.3800936Z              38 CALL_FUNCTION            6
2022-11-23T01:32:32.3801050Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3801160Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3801254Z              44 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3801335Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.3801438Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3801536Z              50 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3801617Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.3801725Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3801819Z              56 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3801902Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.3801996Z              60 BUILD_TUPLE              3
2022-11-23T01:32:32.3802071Z              62 RETURN_VALUE
2022-11-23T01:32:32.3802076Z 
2022-11-23T01:32:32.3802140Z  
2022-11-23T01:32:32.3802329Z [2022-11-23 01:30:25,342] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3802406Z  - 
2022-11-23T01:32:32.3802529Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3802598Z             {
2022-11-23T01:32:32.3802743Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3802929Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:32.3803051Z                 'obj_weakref': None
2022-11-23T01:32:32.3803329Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3803402Z             }
2022-11-23T01:32:32.3803470Z             
2022-11-23T01:32:32.3803546Z  - 
2022-11-23T01:32:32.3803675Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3803760Z             {
2022-11-23T01:32:32.3803908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3804022Z                 'code': None,
2022-11-23T01:32:32.3804239Z                 'obj_weakref': <weakref at 0x7f1ffadc9490; to 'Tensor' at 0x7f1ff8147ba0>
2022-11-23T01:32:32.3804490Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3804559Z             }
2022-11-23T01:32:32.3804628Z             
2022-11-23T01:32:32.3804698Z  - 
2022-11-23T01:32:32.3804824Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3804892Z             {
2022-11-23T01:32:32.3805043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3805153Z                 'code': None,
2022-11-23T01:32:32.3805368Z                 'obj_weakref': <weakref at 0x7f1ffadc9620; to 'Tensor' at 0x7f1feadab0b0>
2022-11-23T01:32:32.3805620Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3805684Z             }
2022-11-23T01:32:32.3805751Z             
2022-11-23T01:32:32.3805827Z  - 
2022-11-23T01:32:32.3805953Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.3806022Z             {
2022-11-23T01:32:32.3806169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3806279Z                 'code': None,
2022-11-23T01:32:32.3806486Z                 'obj_weakref': <weakref at 0x7f1ffadca2f0; to 'Tensor' at 0x7f2151f18540>
2022-11-23T01:32:32.3806738Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3806807Z             }
2022-11-23T01:32:32.3806877Z             
2022-11-23T01:32:32.3806954Z  - 
2022-11-23T01:32:32.3807080Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.3807147Z             {
2022-11-23T01:32:32.3807287Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3807398Z                 'code': None,
2022-11-23T01:32:32.3807610Z                 'obj_weakref': <weakref at 0x7f2022eac9f0; to 'Tensor' at 0x7f2000fe53a0>
2022-11-23T01:32:32.3807859Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3807928Z             }
2022-11-23T01:32:32.3807996Z             
2022-11-23T01:32:32.3808071Z  - 
2022-11-23T01:32:32.3808192Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:32.3808261Z             {
2022-11-23T01:32:32.3808408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3808519Z                 'code': None,
2022-11-23T01:32:32.3808736Z                 'obj_weakref': <weakref at 0x7f1fd97ecb80; to 'Tensor' at 0x7f2000fe6e80>
2022-11-23T01:32:32.3808981Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3809051Z             }
2022-11-23T01:32:32.3809112Z             
2022-11-23T01:32:32.3809190Z  - 
2022-11-23T01:32:32.3809316Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:32.3809384Z             {
2022-11-23T01:32:32.3809529Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3809639Z                 'code': None,
2022-11-23T01:32:32.3809848Z                 'obj_weakref': <weakref at 0x7f1fe8134f40; to 'Tensor' at 0x7f2000fe7380>
2022-11-23T01:32:32.3810087Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3810157Z             }
2022-11-23T01:32:32.3810224Z             
2022-11-23T01:32:32.3810298Z  - 
2022-11-23T01:32:32.3810434Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3810562Z             {
2022-11-23T01:32:32.3810705Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3810875Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3810999Z                 'obj_weakref': None
2022-11-23T01:32:32.3811229Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3811320Z             }
2022-11-23T01:32:32.3811387Z             
2022-11-23T01:32:32.3811463Z  - 
2022-11-23T01:32:32.3811592Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3811654Z             {
2022-11-23T01:32:32.3811796Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3812015Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3812138Z                 'obj_weakref': None
2022-11-23T01:32:32.3812361Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3812432Z             }
2022-11-23T01:32:32.3812499Z             
2022-11-23T01:32:32.3812568Z  - 
2022-11-23T01:32:32.3812705Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3812773Z             {
2022-11-23T01:32:32.3812897Z                 'guard_types': None,
2022-11-23T01:32:32.3813012Z                 'code': None,
2022-11-23T01:32:32.3813132Z                 'obj_weakref': None
2022-11-23T01:32:32.3813257Z                 'guarded_class': None
2022-11-23T01:32:32.3813318Z             }
2022-11-23T01:32:32.3813384Z             
2022-11-23T01:32:32.3813459Z  - 
2022-11-23T01:32:32.3813613Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:32.3813681Z             {
2022-11-23T01:32:32.3813827Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.3814006Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:32.3814122Z                 'obj_weakref': None
2022-11-23T01:32:32.3814351Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.3814419Z             }
2022-11-23T01:32:32.3814487Z             
2022-11-23T01:32:32.3814753Z [2022-11-23 01:30:25,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 756
2022-11-23T01:32:32.3815513Z [2022-11-23 01:30:25,388] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf6'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3815728Z [2022-11-23 01:30:25,390] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.3816768Z [2022-11-23 01:30:25,391] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3816984Z [2022-11-23 01:30:25,395] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:32.3817349Z [2022-11-23 01:30:25,619] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ob/cobey7ct6i4jtqfx6see4uphrvq4epugmnexeitaznleg6z5k2n5.py
2022-11-23T01:32:32.3817614Z [2022-11-23 01:30:25,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 756
2022-11-23T01:32:32.3817846Z [2022-11-23 01:30:25,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3818195Z [2022-11-23 01:30:25,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3818418Z [2022-11-23 01:30:25,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3818673Z [2022-11-23 01:30:25,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3819180Z [2022-11-23 01:30:25,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3819506Z [2022-11-23 01:30:25,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3819849Z [2022-11-23 01:30:25,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3820173Z [2022-11-23 01:30:25,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3820553Z [2022-11-23 01:30:25,627] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382> 
2022-11-23T01:32:32.3820661Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3820756Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3820857Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3820953Z                6 LOAD_ATTR                3 (var)
2022-11-23T01:32:32.3821057Z                8 LOAD_ATTR                4 (default)
2022-11-23T01:32:32.3821063Z 
2022-11-23T01:32:32.3821193Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T01:32:32.3821290Z               12 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3821384Z               14 BUILD_LIST               1
2022-11-23T01:32:32.3821482Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3821487Z 
2022-11-23T01:32:32.3821646Z 4390          18 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:32.3821744Z               20 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3821853Z               22 STORE_FAST               6 (var_default)
2022-11-23T01:32:32.3821861Z 
2022-11-23T01:32:32.3821965Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3822068Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3822169Z               28 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3822265Z               30 LOAD_ATTR                6 (sub)
2022-11-23T01:32:32.3822369Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3822469Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T01:32:32.3822580Z               36 LOAD_FAST                4 (div_default)
2022-11-23T01:32:32.3822675Z               38 CALL_METHOD              2
2022-11-23T01:32:32.3822783Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T01:32:32.3822788Z 
2022-11-23T01:32:32.3822891Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3822988Z               44 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3823085Z               46 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3823177Z               48 LOAD_ATTR                8 (mul)
2022-11-23T01:32:32.3823280Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3823384Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T01:32:32.3823502Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T01:32:32.3823597Z               56 CALL_METHOD              2
2022-11-23T01:32:32.3823708Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T01:32:32.3823713Z 
2022-11-23T01:32:32.3823812Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3823911Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3824060Z               64 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3824158Z               66 LOAD_ATTR                8 (mul)
2022-11-23T01:32:32.3824261Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3824368Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T01:32:32.3824500Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T01:32:32.3824595Z               74 CALL_METHOD              2
2022-11-23T01:32:32.3824703Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T01:32:32.3824708Z 
2022-11-23T01:32:32.3824808Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3824899Z               80 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3824998Z               82 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3825094Z               84 LOAD_ATTR                9 (add)
2022-11-23T01:32:32.3825196Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3825308Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T01:32:32.3825412Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T01:32:32.3825508Z               92 CALL_METHOD              2
2022-11-23T01:32:32.3825610Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T01:32:32.3825618Z 
2022-11-23T01:32:32.3825718Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3825816Z               98 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3825915Z              100 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3826033Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:32.3826137Z              104 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3826142Z 
2022-11-23T01:32:32.3826247Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T01:32:32.3826347Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3826444Z              110 LOAD_ATTR               11 (float32)
2022-11-23T01:32:32.3826449Z 
2022-11-23T01:32:32.3826543Z 4398         112 CALL_METHOD              2
2022-11-23T01:32:32.3826548Z 
2022-11-23T01:32:32.3826680Z 4397         114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T01:32:32.3826688Z 
2022-11-23T01:32:32.3826787Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3826883Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3826983Z              120 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3827101Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:32.3827205Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3827211Z 
2022-11-23T01:32:32.3827343Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T01:32:32.3827437Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3827537Z              130 LOAD_ATTR               11 (float32)
2022-11-23T01:32:32.3827545Z 
2022-11-23T01:32:32.3827639Z 4403         132 CALL_METHOD              2
2022-11-23T01:32:32.3827644Z 
2022-11-23T01:32:32.3827776Z 4402         134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T01:32:32.3827781Z 
2022-11-23T01:32:32.3827882Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3827984Z              138 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3828082Z              140 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3828177Z              142 LOAD_ATTR                3 (var)
2022-11-23T01:32:32.3828272Z              144 LOAD_ATTR                4 (default)
2022-11-23T01:32:32.3828277Z 
2022-11-23T01:32:32.3828405Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:32.3828502Z              148 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3828596Z              150 BUILD_LIST               1
2022-11-23T01:32:32.3828695Z              152 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3828727Z 
2022-11-23T01:32:32.3828901Z 4407         154 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:32.3829002Z              156 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.3829113Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T01:32:32.3829140Z 
2022-11-23T01:32:32.3829235Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3829335Z              162 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3829434Z              164 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3829548Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T01:32:32.3829650Z              168 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3829655Z 
2022-11-23T01:32:32.3829764Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T01:32:32.3829858Z              172 BUILD_LIST               0
2022-11-23T01:32:32.3829963Z              174 LOAD_CONST               4 ((1, 512, 1))
2022-11-23T01:32:32.3830054Z              176 LIST_EXTEND              1
2022-11-23T01:32:32.3830151Z              178 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3830328Z              180 LOAD_CONST               5 (1)
2022-11-23T01:32:32.3830435Z              182 BUILD_LIST               2
2022-11-23T01:32:32.3830444Z 
2022-11-23T01:32:32.3830549Z 4410         184 CALL_METHOD              3
2022-11-23T01:32:32.3830675Z              186 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T01:32:32.3830681Z 
2022-11-23T01:32:32.3830782Z 4413         188 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3830879Z              190 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3830970Z              192 LOAD_ATTR                2 (prims)
2022-11-23T01:32:32.3831064Z              194 LOAD_ATTR               13 (sum)
2022-11-23T01:32:32.3831168Z              196 LOAD_METHOD              4 (default)
2022-11-23T01:32:32.3831173Z 
2022-11-23T01:32:32.3831305Z 4414         198 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:32.3831399Z              200 LOAD_CONST               1 (2)
2022-11-23T01:32:32.3831491Z              202 BUILD_LIST               1
2022-11-23T01:32:32.3831496Z 
2022-11-23T01:32:32.3831586Z 4413         204 CALL_METHOD              2
2022-11-23T01:32:32.3831698Z              206 STORE_FAST              15 (sum_default_1)
2022-11-23T01:32:32.3831703Z 
2022-11-23T01:32:32.3831794Z 4416         208 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3831888Z              210 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3831983Z              212 LOAD_ATTR                5 (aten)
2022-11-23T01:32:32.3832078Z              214 LOAD_ATTR                9 (add)
2022-11-23T01:32:32.3832178Z              216 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:32.3832299Z              218 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T01:32:32.3832446Z              220 LOAD_CONST               6 (1e-05)
2022-11-23T01:32:32.3832541Z              222 CALL_METHOD              2
2022-11-23T01:32:32.3832642Z              224 STORE_FAST              16 (add_tensor_3)
2022-11-23T01:32:32.3832648Z 
2022-11-23T01:32:32.3832753Z 4417         226 LOAD_FAST                6 (var_default)
2022-11-23T01:32:32.3832863Z              228 LOAD_FAST               15 (sum_default_1)
2022-11-23T01:32:32.3832973Z              230 LOAD_FAST               16 (add_tensor_3)
2022-11-23T01:32:32.3833067Z              232 BUILD_TUPLE              3
2022-11-23T01:32:32.3833150Z              234 RETURN_VALUE
2022-11-23T01:32:32.3833216Z  
2022-11-23T01:32:32.3833221Z 
2022-11-23T01:32:32.3833533Z [2022-11-23 01:30:25,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:32.3833756Z [2022-11-23 01:30:25,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3834153Z [2022-11-23 01:30:25,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3834456Z [2022-11-23 01:30:25,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3834790Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3835055Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:32.3835373Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391
2022-11-23T01:32:32.3835683Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T01:32:32.3835986Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:32.3836314Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3836630Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3836936Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:32:32.3837317Z [2022-11-23 01:30:25,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3837726Z [2022-11-23 01:30:25,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.3837987Z [2022-11-23 01:30:25,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T01:32:32.3838307Z [2022-11-23 01:30:25,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393
2022-11-23T01:32:32.3838536Z [2022-11-23 01:30:25,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3838902Z [2022-11-23 01:30:25,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3839199Z [2022-11-23 01:30:25,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3839508Z [2022-11-23 01:30:25,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3839771Z [2022-11-23 01:30:25,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:32:32.3840051Z [2022-11-23 01:30:25,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:32:32.3840356Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:32:32.3840684Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3840942Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T01:32:32.3841292Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394
2022-11-23T01:32:32.3841519Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3841882Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3842198Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3842501Z [2022-11-23 01:30:25,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3842759Z [2022-11-23 01:30:25,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3843032Z [2022-11-23 01:30:25,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3843354Z [2022-11-23 01:30:25,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3843674Z [2022-11-23 01:30:25,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3843936Z [2022-11-23 01:30:25,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T01:32:32.3844251Z [2022-11-23 01:30:25,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395
2022-11-23T01:32:32.3844473Z [2022-11-23 01:30:25,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3844836Z [2022-11-23 01:30:25,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3845136Z [2022-11-23 01:30:25,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3845441Z [2022-11-23 01:30:25,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3845704Z [2022-11-23 01:30:25,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3845983Z [2022-11-23 01:30:25,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3846289Z [2022-11-23 01:30:25,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3846600Z [2022-11-23 01:30:25,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3846852Z [2022-11-23 01:30:25,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T01:32:32.3847162Z [2022-11-23 01:30:25,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396
2022-11-23T01:32:32.3847385Z [2022-11-23 01:30:25,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3847749Z [2022-11-23 01:30:25,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3848044Z [2022-11-23 01:30:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3848350Z [2022-11-23 01:30:25,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3848638Z [2022-11-23 01:30:25,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:32.3848921Z [2022-11-23 01:30:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:32.3849224Z [2022-11-23 01:30:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:32.3849577Z [2022-11-23 01:30:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3849828Z [2022-11-23 01:30:25,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T01:32:32.3850142Z [2022-11-23 01:30:25,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:32.3850369Z [2022-11-23 01:30:25,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3850731Z [2022-11-23 01:30:25,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3851029Z [2022-11-23 01:30:25,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3851359Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3851647Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:32.3851965Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399
2022-11-23T01:32:32.3852277Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:32.3852609Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:32.3853083Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3853402Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:32:32.3853757Z [2022-11-23 01:30:25,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.3854071Z [2022-11-23 01:30:25,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397
2022-11-23T01:32:32.3854360Z [2022-11-23 01:30:25,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T01:32:32.3854669Z [2022-11-23 01:30:25,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:32.3854890Z [2022-11-23 01:30:25,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3855243Z [2022-11-23 01:30:25,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3855536Z [2022-11-23 01:30:25,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3855902Z [2022-11-23 01:30:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3856187Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:32.3856521Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404
2022-11-23T01:32:32.3856853Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:32.3857171Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:32.3857637Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3857949Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:32:32.3858310Z [2022-11-23 01:30:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.3858619Z [2022-11-23 01:30:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402
2022-11-23T01:32:32.3859086Z [2022-11-23 01:30:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T01:32:32.3859403Z [2022-11-23 01:30:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:32.3859625Z [2022-11-23 01:30:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3859988Z [2022-11-23 01:30:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3860285Z [2022-11-23 01:30:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3860598Z [2022-11-23 01:30:25,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3860861Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:32.3861181Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408
2022-11-23T01:32:32.3861498Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T01:32:32.3861798Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:32.3862134Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3862452Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3862766Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:32:32.3863197Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3863609Z [2022-11-23 01:30:25,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.3863903Z [2022-11-23 01:30:25,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T01:32:32.3864219Z [2022-11-23 01:30:25,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:32.3864444Z [2022-11-23 01:30:25,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3864803Z [2022-11-23 01:30:25,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3865106Z [2022-11-23 01:30:25,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3865430Z [2022-11-23 01:30:25,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3865714Z [2022-11-23 01:30:25,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T01:32:32.3866024Z [2022-11-23 01:30:25,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411
2022-11-23T01:32:32.3866326Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T01:32:32.3866635Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T01:32:32.3866983Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3867359Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.3867696Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3868063Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3868472Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.3868778Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:32:32.3869145Z [2022-11-23 01:30:25,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.3869424Z [2022-11-23 01:30:25,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T01:32:32.3869737Z [2022-11-23 01:30:25,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:32.3869955Z [2022-11-23 01:30:25,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3870418Z [2022-11-23 01:30:25,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3870743Z [2022-11-23 01:30:25,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3871072Z [2022-11-23 01:30:25,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:32.3871341Z [2022-11-23 01:30:25,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T01:32:32.3871658Z [2022-11-23 01:30:25,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414
2022-11-23T01:32:32.3871972Z [2022-11-23 01:30:25,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T01:32:32.3872268Z [2022-11-23 01:30:25,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T01:32:32.3872602Z [2022-11-23 01:30:25,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.3872914Z [2022-11-23 01:30:25,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:32:32.3873237Z [2022-11-23 01:30:25,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.3873495Z [2022-11-23 01:30:25,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:32.3873802Z [2022-11-23 01:30:25,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416
2022-11-23T01:32:32.3874024Z [2022-11-23 01:30:25,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3874378Z [2022-11-23 01:30:25,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3874673Z [2022-11-23 01:30:25,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3874976Z [2022-11-23 01:30:25,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3875239Z [2022-11-23 01:30:25,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:32.3875530Z [2022-11-23 01:30:25,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:32.3875827Z [2022-11-23 01:30:25,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:32.3876158Z [2022-11-23 01:30:25,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.3876414Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T01:32:32.3876724Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417
2022-11-23T01:32:32.3876953Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T01:32:32.3877203Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:32.3877510Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3877808Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3878060Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3878466Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382>
2022-11-23T01:32:32.3878721Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3878966Z [2022-11-23 01:30:25,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3879231Z [2022-11-23 01:30:25,716] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3879490Z [2022-11-23 01:30:25,727] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3879688Z [2022-11-23 01:30:25,727] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3879831Z  __compiled_fn_775 <eval_with_key>.4770 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3879930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3880024Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3880110Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.3880201Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:32.3880292Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:32.3880382Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:32.3880598Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T01:32:32.3880735Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T01:32:32.3880879Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T01:32:32.3881018Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T01:32:32.3881157Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T01:32:32.3881358Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T01:32:32.3881579Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T01:32:32.3881838Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T01:32:32.3882022Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T01:32:32.3882192Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T01:32:32.3882422Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T01:32:32.3882591Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T01:32:32.3882598Z 
2022-11-23T01:32:32.3882950Z [2022-11-23 01:30:25,727] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3883054Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3883155Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3883249Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3883349Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3883443Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3883538Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3883615Z              12 RETURN_VALUE
2022-11-23T01:32:32.3883625Z 
2022-11-23T01:32:32.3883686Z  
2022-11-23T01:32:32.3884015Z [2022-11-23 01:30:25,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3884164Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_775)
2022-11-23T01:32:32.3884268Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3884366Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3884450Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3884567Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3884657Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3884740Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3884835Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3884931Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3885012Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.3885108Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3885203Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:32.3885277Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.3885370Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3885468Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:32.3885551Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.3885645Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3885739Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:32.3885821Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.3885910Z              38 CALL_FUNCTION            6
2022-11-23T01:32:32.3886024Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3886134Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3886229Z              44 LOAD_CONST               1 (0)
2022-11-23T01:32:32.3886310Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.3886421Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3886516Z              50 LOAD_CONST               2 (1)
2022-11-23T01:32:32.3886591Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.3886701Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3886799Z              56 LOAD_CONST               3 (2)
2022-11-23T01:32:32.3886882Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.3886977Z              60 BUILD_TUPLE              3
2022-11-23T01:32:32.3887058Z              62 RETURN_VALUE
2022-11-23T01:32:32.3887068Z 
2022-11-23T01:32:32.3887133Z  
2022-11-23T01:32:32.3887327Z [2022-11-23 01:30:25,728] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3887397Z  - 
2022-11-23T01:32:32.3887523Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3887593Z             {
2022-11-23T01:32:32.3887741Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3887935Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 6'],
2022-11-23T01:32:32.3888062Z                 'obj_weakref': None
2022-11-23T01:32:32.3888292Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3888356Z             }
2022-11-23T01:32:32.3888426Z             
2022-11-23T01:32:32.3888502Z  - 
2022-11-23T01:32:32.3888633Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3888702Z             {
2022-11-23T01:32:32.3888850Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3888956Z                 'code': None,
2022-11-23T01:32:32.3889179Z                 'obj_weakref': <weakref at 0x7f2151f00db0; to 'Tensor' at 0x7f1ffad88c20>
2022-11-23T01:32:32.3889435Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3889503Z             }
2022-11-23T01:32:32.3889571Z             
2022-11-23T01:32:32.3889647Z  - 
2022-11-23T01:32:32.3889776Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3889846Z             {
2022-11-23T01:32:32.3889989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3890101Z                 'code': None,
2022-11-23T01:32:32.3890350Z                 'obj_weakref': <weakref at 0x7f1fd9a6cae0; to 'Tensor' at 0x7f1ffad89710>
2022-11-23T01:32:32.3890604Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3890673Z             }
2022-11-23T01:32:32.3890743Z             
2022-11-23T01:32:32.3890823Z  - 
2022-11-23T01:32:32.3890985Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.3891058Z             {
2022-11-23T01:32:32.3891206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3891319Z                 'code': None,
2022-11-23T01:32:32.3891534Z                 'obj_weakref': <weakref at 0x7f1ffad2d530; to 'Tensor' at 0x7f2151f185e0>
2022-11-23T01:32:32.3891788Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3891857Z             }
2022-11-23T01:32:32.3891919Z             
2022-11-23T01:32:32.3891997Z  - 
2022-11-23T01:32:32.3892126Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.3892197Z             {
2022-11-23T01:32:32.3892349Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3892462Z                 'code': None,
2022-11-23T01:32:32.3892679Z                 'obj_weakref': <weakref at 0x7f1ffad2eb10; to 'Tensor' at 0x7f2023395620>
2022-11-23T01:32:32.3892927Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3892999Z             }
2022-11-23T01:32:32.3893067Z             
2022-11-23T01:32:32.3893142Z  - 
2022-11-23T01:32:32.3893271Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:32.3893340Z             {
2022-11-23T01:32:32.3893488Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3893593Z                 'code': None,
2022-11-23T01:32:32.3893806Z                 'obj_weakref': <weakref at 0x7f1ffad2e020; to 'Tensor' at 0x7f2023396660>
2022-11-23T01:32:32.3894054Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3894126Z             }
2022-11-23T01:32:32.3894195Z             
2022-11-23T01:32:32.3894271Z  - 
2022-11-23T01:32:32.3894398Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:32.3894460Z             {
2022-11-23T01:32:32.3894608Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3894723Z                 'code': None,
2022-11-23T01:32:32.3894937Z                 'obj_weakref': <weakref at 0x7f1ffad2f7e0; to 'Tensor' at 0x7f1fe03045e0>
2022-11-23T01:32:32.3895186Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3895257Z             }
2022-11-23T01:32:32.3895325Z             
2022-11-23T01:32:32.3895395Z  - 
2022-11-23T01:32:32.3895536Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3895605Z             {
2022-11-23T01:32:32.3895747Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3895922Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3896050Z                 'obj_weakref': None
2022-11-23T01:32:32.3896284Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3896346Z             }
2022-11-23T01:32:32.3896415Z             
2022-11-23T01:32:32.3896494Z  - 
2022-11-23T01:32:32.3896624Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3896693Z             {
2022-11-23T01:32:32.3896835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3897054Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3897172Z                 'obj_weakref': None
2022-11-23T01:32:32.3897398Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3897469Z             }
2022-11-23T01:32:32.3897538Z             
2022-11-23T01:32:32.3897614Z  - 
2022-11-23T01:32:32.3897754Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3897858Z             {
2022-11-23T01:32:32.3897979Z                 'guard_types': None,
2022-11-23T01:32:32.3898093Z                 'code': None,
2022-11-23T01:32:32.3898215Z                 'obj_weakref': None
2022-11-23T01:32:32.3898341Z                 'guarded_class': None
2022-11-23T01:32:32.3898433Z             }
2022-11-23T01:32:32.3898503Z             
2022-11-23T01:32:32.3898572Z  - 
2022-11-23T01:32:32.3898728Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:32.3898997Z             {
2022-11-23T01:32:32.3899155Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.3899334Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:32.3899456Z                 'obj_weakref': None
2022-11-23T01:32:32.3899679Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.3899749Z             }
2022-11-23T01:32:32.3899812Z             
2022-11-23T01:32:32.3900079Z [2022-11-23 01:30:25,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 757
2022-11-23T01:32:32.3900835Z [2022-11-23 01:30:25,773] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf6'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3901053Z [2022-11-23 01:30:25,775] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.3902094Z [2022-11-23 01:30:25,776] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.3902307Z [2022-11-23 01:30:25,779] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:32.3902316Z 
2022-11-23T01:32:32.3902419Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3902495Z import torch
2022-11-23T01:32:32.3902571Z import random
2022-11-23T01:32:32.3902695Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3902816Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3902832Z 
2022-11-23T01:32:32.3902910Z aten = torch.ops.aten
2022-11-23T01:32:32.3903052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3903151Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3903156Z 
2022-11-23T01:32:32.3903229Z import triton
2022-11-23T01:32:32.3903324Z import triton.language as tl
2022-11-23T01:32:32.3903455Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3903600Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3903605Z 
2022-11-23T01:32:32.3903610Z 
2022-11-23T01:32:32.3903758Z triton_fused_var0 = async_compile.triton('''
2022-11-23T01:32:32.3903838Z import triton
2022-11-23T01:32:32.3903932Z import triton.language as tl
2022-11-23T01:32:32.3904049Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3904153Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3904290Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3904418Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3904424Z 
2022-11-23T01:32:32.3904519Z @reduction(size_hints=[512, 1024],
2022-11-23T01:32:32.3904631Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3904718Z               filename=__file__,
2022-11-23T01:32:32.3905121Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3905198Z @triton.jit
2022-11-23T01:32:32.3905376Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3905480Z     xnumel = 512
2022-11-23T01:32:32.3905557Z     rnumel = 1024
2022-11-23T01:32:32.3905651Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3905794Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3905879Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3906002Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3906075Z     x0 = xindex
2022-11-23T01:32:32.3906197Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3906305Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3906390Z         rindex = roffset + rbase
2022-11-23T01:32:32.3906482Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3906555Z         r1 = rindex
2022-11-23T01:32:32.3906782Z         tmp0 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3906908Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.3907029Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3907149Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3907250Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3907340Z         rindex = roffset + rbase
2022-11-23T01:32:32.3907427Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3907499Z         r1 = rindex
2022-11-23T01:32:32.3907723Z         tmp2 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3907798Z         tmp3 = 1024
2022-11-23T01:32:32.3907880Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.3907989Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.3908073Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.3908197Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.3908313Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3908387Z     tmp8 = 1024
2022-11-23T01:32:32.3908467Z     tmp9 = tmp7 / tmp8
2022-11-23T01:32:32.3908614Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp9, xmask)
2022-11-23T01:32:32.3908694Z ''')
2022-11-23T01:32:32.3908706Z 
2022-11-23T01:32:32.3908711Z 
2022-11-23T01:32:32.3908939Z triton_fused_broadcast_in_dim_mul_1_sub_var_1_mul_add_1_sum_1_add1 = async_compile.triton('''
2022-11-23T01:32:32.3909016Z import triton
2022-11-23T01:32:32.3909111Z import triton.language as tl
2022-11-23T01:32:32.3909227Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3909332Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3909467Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3909595Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3909604Z 
2022-11-23T01:32:32.3909692Z @reduction(size_hints=[512, 1024],
2022-11-23T01:32:32.3909810Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3909899Z               filename=__file__,
2022-11-23T01:32:32.3910405Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: '*fp32', 6: '*fp32', 7: '*fp32', 8: 'i32', 9: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), equal_to_1=())]})
2022-11-23T01:32:32.3910483Z @triton.jit
2022-11-23T01:32:32.3910707Z def kernel(in_out_ptr0, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3910782Z     xnumel = 512
2022-11-23T01:32:32.3910858Z     rnumel = 1024
2022-11-23T01:32:32.3910951Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3911092Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3911221Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3911347Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3911419Z     x0 = xindex
2022-11-23T01:32:32.3911518Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.3911641Z     tmp3 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:32.3911743Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3911833Z         rindex = roffset + rbase
2022-11-23T01:32:32.3911921Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3911995Z         r1 = rindex
2022-11-23T01:32:32.3912225Z         tmp0 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3912424Z         tmp5 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3912627Z         tmp7 = tl.load(in_ptr4 + (r1), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3912766Z         tmp2 = tmp0 - tmp1
2022-11-23T01:32:32.3912847Z         tmp4 = tmp2 * tmp3
2022-11-23T01:32:32.3912950Z         tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.3913032Z         tmp8 = tmp6 + tmp7
2022-11-23T01:32:32.3913196Z         tl.store(out_ptr0 + (r1 + (1024*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp8, xmask & rmask)
2022-11-23T01:32:32.3913320Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3913430Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3913520Z         rindex = roffset + rbase
2022-11-23T01:32:32.3913600Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3913673Z         r1 = rindex
2022-11-23T01:32:32.3913899Z         tmp9 = tl.load(out_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3914026Z         _tmp10 = tl.where(xmask & rmask, _tmp10 + tmp9, _tmp10)
2022-11-23T01:32:32.3914146Z     tmp10 = tl.reshape(tl.sum(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3914269Z     _tmp16 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3914392Z     _tmp17 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3914493Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3914583Z         rindex = roffset + rbase
2022-11-23T01:32:32.3914669Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3914743Z         r1 = rindex
2022-11-23T01:32:32.3914971Z         tmp11 = tl.load(out_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3915049Z         tmp12 = 1024
2022-11-23T01:32:32.3915133Z         tmp13 = tmp10 / tmp12
2022-11-23T01:32:32.3915245Z         tmp14 = tmp11 - tmp13
2022-11-23T01:32:32.3915330Z         tmp15 = tmp14 * tmp14
2022-11-23T01:32:32.3915457Z         _tmp16 = tl.where(xmask & rmask, _tmp16 + tmp15, _tmp16)
2022-11-23T01:32:32.3915581Z         _tmp17 = tl.where(xmask & rmask, _tmp17 + tmp11, _tmp17)
2022-11-23T01:32:32.3915699Z     tmp16 = tl.reshape(tl.sum(_tmp16, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3915816Z     tmp17 = tl.reshape(tl.sum(_tmp17, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3915919Z     tl.store(out_ptr2 + x0, tmp17, xmask)
2022-11-23T01:32:32.3915987Z     tmp18 = 1024
2022-11-23T01:32:32.3916069Z     tmp19 = tmp16 / tmp18
2022-11-23T01:32:32.3916172Z     tmp20 = 1e-05
2022-11-23T01:32:32.3916255Z     tmp21 = tmp19 + tmp20
2022-11-23T01:32:32.3916401Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp21, xmask)
2022-11-23T01:32:32.3916493Z ''')
2022-11-23T01:32:32.3916498Z 
2022-11-23T01:32:32.3916503Z 
2022-11-23T01:32:32.3916597Z async_compile.wait(globals())
2022-11-23T01:32:32.3916674Z del async_compile
2022-11-23T01:32:32.3916680Z 
2022-11-23T01:32:32.3916749Z def call(args):
2022-11-23T01:32:32.3916860Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T01:32:32.3916937Z     args.clear()
2022-11-23T01:32:32.3917145Z     buf1 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3917237Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:32.3917328Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3917501Z     triton_fused_var0.run(buf6, arg3_1, 512, 1024, grid=grid(512), stream=stream0)
2022-11-23T01:32:32.3917571Z     del arg3_1
2022-11-23T01:32:32.3917794Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3917993Z     buf4 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3918222Z     buf5 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3918346Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T01:32:32.3918566Z     triton_fused_broadcast_in_dim_mul_1_sub_var_1_mul_add_1_sum_1_add1.run(buf7, arg2_1, arg4_1, arg5_1, arg0_1, arg1_1, buf2, buf5, 512, 1024, grid=grid(512), stream=stream0)
2022-11-23T01:32:32.3918641Z     del arg0_1
2022-11-23T01:32:32.3918715Z     del arg1_1
2022-11-23T01:32:32.3918781Z     del arg2_1
2022-11-23T01:32:32.3918852Z     del arg4_1
2022-11-23T01:32:32.3918924Z     del arg5_1
2022-11-23T01:32:32.3919015Z     return (buf6, buf5, buf7, )
2022-11-23T01:32:32.3919020Z 
2022-11-23T01:32:32.3919025Z 
2022-11-23T01:32:32.3919107Z if __name__ == "__main__":
2022-11-23T01:32:32.3919229Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3919359Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3919556Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3919755Z     arg1_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3919976Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3920195Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3920406Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3920612Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3920765Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T01:32:32.3920771Z 
2022-11-23T01:32:32.3921140Z [2022-11-23 01:30:25,892] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwps2wrprxwe3z34qnkaafmaege6g6m7qflq62opselirrqp26a.py
2022-11-23T01:32:32.3921411Z [2022-11-23 01:30:25,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 757
2022-11-23T01:32:32.3921417Z 
2022-11-23T01:32:32.3921516Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.3921585Z import torch
2022-11-23T01:32:32.3921660Z import random
2022-11-23T01:32:32.3921784Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.3921909Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.3921914Z 
2022-11-23T01:32:32.3921997Z aten = torch.ops.aten
2022-11-23T01:32:32.3922163Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.3922281Z async_compile = AsyncCompile()
2022-11-23T01:32:32.3922288Z 
2022-11-23T01:32:32.3922360Z import triton
2022-11-23T01:32:32.3922454Z import triton.language as tl
2022-11-23T01:32:32.3922582Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.3922726Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.3922734Z 
2022-11-23T01:32:32.3922738Z 
2022-11-23T01:32:32.3922893Z triton_fused_var0 = async_compile.triton('''
2022-11-23T01:32:32.3922970Z import triton
2022-11-23T01:32:32.3923063Z import triton.language as tl
2022-11-23T01:32:32.3923180Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3923278Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3923412Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3923543Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3923548Z 
2022-11-23T01:32:32.3923642Z @reduction(size_hints=[512, 1024],
2022-11-23T01:32:32.3923786Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3923875Z               filename=__file__,
2022-11-23T01:32:32.3924212Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.3924305Z @triton.jit
2022-11-23T01:32:32.3924482Z def kernel(in_out_ptr0, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3924559Z     xnumel = 512
2022-11-23T01:32:32.3924634Z     rnumel = 1024
2022-11-23T01:32:32.3924735Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3924873Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3924959Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3925081Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3925147Z     x0 = xindex
2022-11-23T01:32:32.3925268Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3925378Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3925468Z         rindex = roffset + rbase
2022-11-23T01:32:32.3925556Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3925627Z         r1 = rindex
2022-11-23T01:32:32.3925877Z         tmp0 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3925966Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.3926091Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.3926206Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3926324Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3926430Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3926520Z         rindex = roffset + rbase
2022-11-23T01:32:32.3926606Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3926672Z         r1 = rindex
2022-11-23T01:32:32.3926925Z         tmp3 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3926998Z         tmp4 = 1024
2022-11-23T01:32:32.3927079Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.3927170Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.3927284Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.3927368Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.3927485Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.3927600Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3927675Z     tmp10 = 1024
2022-11-23T01:32:32.3927755Z     tmp11 = tmp9 / tmp10
2022-11-23T01:32:32.3927897Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.3927984Z ''')
2022-11-23T01:32:32.3927990Z 
2022-11-23T01:32:32.3927994Z 
2022-11-23T01:32:32.3928264Z triton_fused_var_1_convert_element_type_sum_1_mul_1_add_1_mul_sub_add_broadcast_in_dim1 = async_compile.triton('''
2022-11-23T01:32:32.3928339Z import triton
2022-11-23T01:32:32.3928429Z import triton.language as tl
2022-11-23T01:32:32.3928548Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.3928653Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.3928788Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.3928916Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.3928924Z 
2022-11-23T01:32:32.3929018Z @reduction(size_hints=[512, 1024],
2022-11-23T01:32:32.3929135Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.3929215Z               filename=__file__,
2022-11-23T01:32:32.3929632Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: '*fp16', 6: '*fp32', 7: '*fp32', 8: 'i32', 9: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), equal_to_1=())]})
2022-11-23T01:32:32.3929712Z @triton.jit
2022-11-23T01:32:32.3929960Z def kernel(in_out_ptr0, in_ptr0, in_ptr1, in_ptr2, in_ptr3, in_ptr4, out_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.3930040Z     xnumel = 512
2022-11-23T01:32:32.3930115Z     rnumel = 1024
2022-11-23T01:32:32.3930216Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.3930356Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.3930455Z     xmask = xindex < xnumel
2022-11-23T01:32:32.3930578Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.3930648Z     x0 = xindex
2022-11-23T01:32:32.3930768Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.3930890Z     tmp3 = tl.load(in_ptr2 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.3930998Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3931087Z         rindex = roffset + rbase
2022-11-23T01:32:32.3931168Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3931240Z         r1 = rindex
2022-11-23T01:32:32.3931490Z         tmp0 = tl.load(in_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3931706Z         tmp5 = tl.load(in_ptr3 + (r1), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3931923Z         tmp7 = tl.load(in_ptr4 + (r1), rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.3932039Z         tmp2 = tmp0 - tmp1
2022-11-23T01:32:32.3932124Z         tmp4 = tmp2 * tmp3
2022-11-23T01:32:32.3932199Z         tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.3932279Z         tmp8 = tmp6 + tmp7
2022-11-23T01:32:32.3932370Z         tmp9 = tmp8.to(tl.float32)
2022-11-23T01:32:32.3932533Z         tl.store(out_ptr0 + (r1 + (1024*x0) + tl.zeros([XBLOCK, RBLOCK], tl.int32)), tmp9, xmask & rmask)
2022-11-23T01:32:32.3932655Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3932762Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3932852Z         rindex = roffset + rbase
2022-11-23T01:32:32.3932936Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3933004Z         r1 = rindex
2022-11-23T01:32:32.3933229Z         tmp10 = tl.load(out_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3933356Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.3933475Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3933598Z     _tmp17 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3933715Z     _tmp18 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.3933823Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.3933906Z         rindex = roffset + rbase
2022-11-23T01:32:32.3933990Z         rmask = rindex < rnumel
2022-11-23T01:32:32.3934064Z         r1 = rindex
2022-11-23T01:32:32.3934289Z         tmp12 = tl.load(out_ptr0 + (r1 + (1024*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.3934364Z         tmp13 = 1024
2022-11-23T01:32:32.3934448Z         tmp14 = tmp11 / tmp13
2022-11-23T01:32:32.3934568Z         tmp15 = tmp12 - tmp14
2022-11-23T01:32:32.3934644Z         tmp16 = tmp15 * tmp15
2022-11-23T01:32:32.3934770Z         _tmp17 = tl.where(xmask & rmask, _tmp17 + tmp16, _tmp17)
2022-11-23T01:32:32.3934896Z         _tmp18 = tl.where(xmask & rmask, _tmp18 + tmp12, _tmp18)
2022-11-23T01:32:32.3935017Z     tmp17 = tl.reshape(tl.sum(_tmp17, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3935132Z     tmp18 = tl.reshape(tl.sum(_tmp18, 1), [XBLOCK, 1])
2022-11-23T01:32:32.3935233Z     tl.store(out_ptr2 + x0, tmp18, xmask)
2022-11-23T01:32:32.3935308Z     tmp19 = 1024
2022-11-23T01:32:32.3935383Z     tmp20 = tmp17 / tmp19
2022-11-23T01:32:32.3935487Z     tmp21 = 1e-05
2022-11-23T01:32:32.3935569Z     tmp22 = tmp20 + tmp21
2022-11-23T01:32:32.3935712Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp22, xmask)
2022-11-23T01:32:32.3935800Z ''')
2022-11-23T01:32:32.3935805Z 
2022-11-23T01:32:32.3935810Z 
2022-11-23T01:32:32.3935902Z async_compile.wait(globals())
2022-11-23T01:32:32.3935983Z del async_compile
2022-11-23T01:32:32.3936018Z 
2022-11-23T01:32:32.3936094Z def call(args):
2022-11-23T01:32:32.3936200Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T01:32:32.3936278Z     args.clear()
2022-11-23T01:32:32.3936484Z     buf1 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3936600Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:32.3936690Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.3936832Z     triton_fused_var0.run(buf6, arg3_1, 512, 1024, grid=grid(512), stream=stream0)
2022-11-23T01:32:32.3936906Z     del arg3_1
2022-11-23T01:32:32.3937119Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3937318Z     buf4 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3937519Z     buf5 = empty_strided((1, 512), (512, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.3937648Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T01:32:32.3937886Z     triton_fused_var_1_convert_element_type_sum_1_mul_1_add_1_mul_sub_add_broadcast_in_dim1.run(buf7, arg2_1, arg4_1, arg5_1, arg0_1, arg1_1, buf2, buf5, 512, 1024, grid=grid(512), stream=stream0)
2022-11-23T01:32:32.3937960Z     del arg0_1
2022-11-23T01:32:32.3938036Z     del arg1_1
2022-11-23T01:32:32.3938109Z     del arg2_1
2022-11-23T01:32:32.3938175Z     del arg4_1
2022-11-23T01:32:32.3938247Z     del arg5_1
2022-11-23T01:32:32.3938335Z     return (buf6, buf5, buf7, )
2022-11-23T01:32:32.3938340Z 
2022-11-23T01:32:32.3938345Z 
2022-11-23T01:32:32.3938427Z if __name__ == "__main__":
2022-11-23T01:32:32.3938546Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.3938678Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.3939337Z     arg0_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3939598Z     arg1_1 = rand_strided((1024, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3939829Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3940050Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3940259Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3940472Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.3940625Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T01:32:32.3940631Z 
2022-11-23T01:32:32.3940703Z ok (0.664s)
2022-11-23T01:32:32.3941037Z   test_tmp_not_defined_issue2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3941361Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3941575Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3941830Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3942115Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3942431Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3942772Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3943094Z [2022-11-23 01:30:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3943553Z [2022-11-23 01:30:25,901] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436> 
2022-11-23T01:32:32.3943662Z  4437           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3943790Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3943888Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3943978Z                6 LOAD_ATTR                3 (div)
2022-11-23T01:32:32.3944084Z                8 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:32.3944192Z               10 LOAD_FAST                2 (getitem_17)
2022-11-23T01:32:32.3944294Z               12 LOAD_FAST                1 (arg81_1)
2022-11-23T01:32:32.3944388Z               14 CALL_METHOD              2
2022-11-23T01:32:32.3944498Z               16 STORE_FAST               4 (div_tensor_7)
2022-11-23T01:32:32.3944503Z 
2022-11-23T01:32:32.3944607Z 4438          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3944697Z               20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3944797Z               22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3944893Z               24 LOAD_ATTR                5 (mul)
2022-11-23T01:32:32.3944998Z               26 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:32.3945106Z               28 LOAD_FAST                4 (div_tensor_7)
2022-11-23T01:32:32.3945207Z               30 LOAD_FAST                0 (arg38_1)
2022-11-23T01:32:32.3945304Z               32 CALL_METHOD              2
2022-11-23T01:32:32.3945419Z               34 STORE_FAST               5 (mul_tensor_24)
2022-11-23T01:32:32.3945424Z 
2022-11-23T01:32:32.3945517Z 4439          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3945612Z               38 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3945707Z               40 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3945803Z               42 LOAD_ATTR                6 (sum)
2022-11-23T01:32:32.3945908Z               44 LOAD_METHOD              7 (default)
2022-11-23T01:32:32.3946016Z               46 LOAD_FAST                5 (mul_tensor_24)
2022-11-23T01:32:32.3946110Z               48 CALL_METHOD              1
2022-11-23T01:32:32.3946211Z               50 STORE_FAST               6 (sum_default_7)
2022-11-23T01:32:32.3946229Z 
2022-11-23T01:32:32.3946339Z 4440          52 LOAD_FAST                3 (new_zeros_default_4)
2022-11-23T01:32:32.3946449Z               54 LOAD_FAST                6 (sum_default_7)
2022-11-23T01:32:32.3946544Z               56 BUILD_TUPLE              2
2022-11-23T01:32:32.3946627Z               58 RETURN_VALUE
2022-11-23T01:32:32.3946693Z  
2022-11-23T01:32:32.3946698Z 
2022-11-23T01:32:32.3947018Z [2022-11-23 01:30:25,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437
2022-11-23T01:32:32.3947244Z [2022-11-23 01:30:25,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3947608Z [2022-11-23 01:30:25,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3947895Z [2022-11-23 01:30:25,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3948201Z [2022-11-23 01:30:25,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3948461Z [2022-11-23 01:30:25,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)]
2022-11-23T01:32:32.3948737Z [2022-11-23 01:30:25,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)]
2022-11-23T01:32:32.3949072Z [2022-11-23 01:30:25,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()]
2022-11-23T01:32:32.3949402Z [2022-11-23 01:30:25,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3949664Z [2022-11-23 01:30:25,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()]
2022-11-23T01:32:32.3950004Z [2022-11-23 01:30:25,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438
2022-11-23T01:32:32.3950230Z [2022-11-23 01:30:25,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3950715Z [2022-11-23 01:30:25,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3951010Z [2022-11-23 01:30:25,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3951304Z [2022-11-23 01:30:25,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3951560Z [2022-11-23 01:30:25,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3951839Z [2022-11-23 01:30:25,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3952134Z [2022-11-23 01:30:25,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3952451Z [2022-11-23 01:30:25,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3952712Z [2022-11-23 01:30:25,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()]
2022-11-23T01:32:32.3953027Z [2022-11-23 01:30:25,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439
2022-11-23T01:32:32.3953251Z [2022-11-23 01:30:25,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3953613Z [2022-11-23 01:30:25,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3953903Z [2022-11-23 01:30:25,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3954194Z [2022-11-23 01:30:25,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3954456Z [2022-11-23 01:30:25,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)]
2022-11-23T01:32:32.3954736Z [2022-11-23 01:30:25,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)]
2022-11-23T01:32:32.3955029Z [2022-11-23 01:30:25,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()]
2022-11-23T01:32:32.3955290Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:32.3955604Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440
2022-11-23T01:32:32.3955846Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 []
2022-11-23T01:32:32.3956101Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:32.3956397Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3956652Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3957038Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436>
2022-11-23T01:32:32.3957325Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3957567Z [2022-11-23 01:30:25,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3957827Z [2022-11-23 01:30:25,926] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3958081Z [2022-11-23 01:30:25,929] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3958279Z [2022-11-23 01:30:25,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3958428Z  __compiled_fn_776 <eval_with_key>.4776 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3958526Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3958620Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3958705Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.3958844Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {}
2022-11-23T01:32:32.3958988Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {}
2022-11-23T01:32:32.3959128Z call_function, sum_default, aten.sum.default, (mul_tensor,), {}
2022-11-23T01:32:32.3959243Z output, output, output, ((sum_default,),), {}
2022-11-23T01:32:32.3959248Z 
2022-11-23T01:32:32.3959575Z [2022-11-23 01:30:25,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3959677Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3959775Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3959865Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3959964Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3960057Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3960151Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3960236Z              12 RETURN_VALUE
2022-11-23T01:32:32.3960241Z 
2022-11-23T01:32:32.3960307Z  
2022-11-23T01:32:32.3960626Z [2022-11-23 01:30:25,930] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3960738Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_776)
2022-11-23T01:32:32.3960837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3960934Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3961017Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3961112Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3961208Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:32.3961289Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3961383Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3961470Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:32.3961550Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.3961647Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.3961760Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3961855Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3961947Z              26 LOAD_CONST               1 (3)
2022-11-23T01:32:32.3962028Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.3962132Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3962228Z              32 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3962309Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.3962402Z              36 BUILD_TUPLE              2
2022-11-23T01:32:32.3962510Z              38 RETURN_VALUE
2022-11-23T01:32:32.3962515Z 
2022-11-23T01:32:32.3962586Z  
2022-11-23T01:32:32.3962773Z [2022-11-23 01:30:25,930] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3962843Z  - 
2022-11-23T01:32:32.3962968Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3963063Z             {
2022-11-23T01:32:32.3963208Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3963398Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.3963521Z                 'obj_weakref': None
2022-11-23T01:32:32.3963748Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3963811Z             }
2022-11-23T01:32:32.3963879Z             
2022-11-23T01:32:32.3963956Z  - 
2022-11-23T01:32:32.3964085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3964154Z             {
2022-11-23T01:32:32.3964301Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3964415Z                 'code': None,
2022-11-23T01:32:32.3964621Z                 'obj_weakref': <weakref at 0x7f2151f03ce0; to 'Tensor' at 0x7f2000fe53a0>
2022-11-23T01:32:32.3964872Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3964946Z             }
2022-11-23T01:32:32.3965013Z             
2022-11-23T01:32:32.3965090Z  - 
2022-11-23T01:32:32.3965220Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3965287Z             {
2022-11-23T01:32:32.3965428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3965539Z                 'code': None,
2022-11-23T01:32:32.3965753Z                 'obj_weakref': <weakref at 0x7f1ff8143fb0; to 'Tensor' at 0x7f1ffad88c20>
2022-11-23T01:32:32.3966003Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3966071Z             }
2022-11-23T01:32:32.3966138Z             
2022-11-23T01:32:32.3966216Z  - 
2022-11-23T01:32:32.3966338Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.3966406Z             {
2022-11-23T01:32:32.3966555Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3966667Z                 'code': None,
2022-11-23T01:32:32.3966885Z                 'obj_weakref': <weakref at 0x7f1fe03ea250; to 'Tensor' at 0x7f1ffad89710>
2022-11-23T01:32:32.3967138Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3967208Z             }
2022-11-23T01:32:32.3967269Z             
2022-11-23T01:32:32.3967347Z  - 
2022-11-23T01:32:32.3967475Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.3967542Z             {
2022-11-23T01:32:32.3967689Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3967801Z                 'code': None,
2022-11-23T01:32:32.3968017Z                 'obj_weakref': <weakref at 0x7f1fe03e8f40; to 'Tensor' at 0x7f1fead2b560>
2022-11-23T01:32:32.3968266Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3968335Z             }
2022-11-23T01:32:32.3968402Z             
2022-11-23T01:32:32.3968479Z  - 
2022-11-23T01:32:32.3968618Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.3968685Z             {
2022-11-23T01:32:32.3968826Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.3968996Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.3969120Z                 'obj_weakref': None
2022-11-23T01:32:32.3969353Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.3969425Z             }
2022-11-23T01:32:32.3969492Z             
2022-11-23T01:32:32.3969567Z  - 
2022-11-23T01:32:32.3969694Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.3969756Z             {
2022-11-23T01:32:32.3969927Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.3970153Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.3970276Z                 'obj_weakref': None
2022-11-23T01:32:32.3970505Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.3970595Z             }
2022-11-23T01:32:32.3970663Z             
2022-11-23T01:32:32.3970733Z  - 
2022-11-23T01:32:32.3970872Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.3970941Z             {
2022-11-23T01:32:32.3971065Z                 'guard_types': None,
2022-11-23T01:32:32.3971177Z                 'code': None,
2022-11-23T01:32:32.3971298Z                 'obj_weakref': None
2022-11-23T01:32:32.3971426Z                 'guarded_class': None
2022-11-23T01:32:32.3971488Z             }
2022-11-23T01:32:32.3971555Z             
2022-11-23T01:32:32.3971826Z [2022-11-23 01:30:25,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 758
2022-11-23T01:32:32.3972080Z [2022-11-23 01:30:25,976] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.3972331Z [2022-11-23 01:30:25,981] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.3972698Z [2022-11-23 01:30:26,147] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c4/cc4ditdpt6nuf2hho3a4w23efrrratpbi2kmnyrtapmd3tmcz6k6.py
2022-11-23T01:32:32.3972962Z [2022-11-23 01:30:26,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 758
2022-11-23T01:32:32.3973199Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.3973507Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.3973729Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.3973988Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.3974272Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.3974599Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3974950Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3975267Z [2022-11-23 01:30:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.3975649Z [2022-11-23 01:30:26,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436> 
2022-11-23T01:32:32.3975753Z  4437           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3975854Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3975946Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3976045Z                6 LOAD_ATTR                3 (div)
2022-11-23T01:32:32.3976151Z                8 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:32.3976261Z               10 LOAD_FAST                2 (getitem_17)
2022-11-23T01:32:32.3976362Z               12 LOAD_FAST                1 (arg81_1)
2022-11-23T01:32:32.3976457Z               14 CALL_METHOD              2
2022-11-23T01:32:32.3976568Z               16 STORE_FAST               4 (div_tensor_7)
2022-11-23T01:32:32.3976574Z 
2022-11-23T01:32:32.3976675Z 4438          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3976766Z               20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3976896Z               22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3976994Z               24 LOAD_ATTR                5 (mul)
2022-11-23T01:32:32.3977096Z               26 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:32.3977204Z               28 LOAD_FAST                4 (div_tensor_7)
2022-11-23T01:32:32.3977329Z               30 LOAD_FAST                0 (arg38_1)
2022-11-23T01:32:32.3977423Z               32 CALL_METHOD              2
2022-11-23T01:32:32.3977528Z               34 STORE_FAST               5 (mul_tensor_24)
2022-11-23T01:32:32.3977533Z 
2022-11-23T01:32:32.3977635Z 4439          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.3977732Z               38 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.3977829Z               40 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.3977926Z               42 LOAD_ATTR                6 (sum)
2022-11-23T01:32:32.3978030Z               44 LOAD_METHOD              7 (default)
2022-11-23T01:32:32.3978141Z               46 LOAD_FAST                5 (mul_tensor_24)
2022-11-23T01:32:32.3978235Z               48 CALL_METHOD              1
2022-11-23T01:32:32.3978336Z               50 STORE_FAST               6 (sum_default_7)
2022-11-23T01:32:32.3978341Z 
2022-11-23T01:32:32.3978459Z 4440          52 LOAD_FAST                3 (new_zeros_default_4)
2022-11-23T01:32:32.3978573Z               54 LOAD_FAST                6 (sum_default_7)
2022-11-23T01:32:32.3978672Z               56 BUILD_TUPLE              2
2022-11-23T01:32:32.3978753Z               58 RETURN_VALUE
2022-11-23T01:32:32.3978969Z  
2022-11-23T01:32:32.3978975Z 
2022-11-23T01:32:32.3979298Z [2022-11-23 01:30:26,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437
2022-11-23T01:32:32.3979520Z [2022-11-23 01:30:26,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3979879Z [2022-11-23 01:30:26,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3980173Z [2022-11-23 01:30:26,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3980479Z [2022-11-23 01:30:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3980739Z [2022-11-23 01:30:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)]
2022-11-23T01:32:32.3981016Z [2022-11-23 01:30:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)]
2022-11-23T01:32:32.3981315Z [2022-11-23 01:30:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()]
2022-11-23T01:32:32.3981636Z [2022-11-23 01:30:26,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3981897Z [2022-11-23 01:30:26,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()]
2022-11-23T01:32:32.3982215Z [2022-11-23 01:30:26,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438
2022-11-23T01:32:32.3982442Z [2022-11-23 01:30:26,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3982800Z [2022-11-23 01:30:26,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3983092Z [2022-11-23 01:30:26,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3983436Z [2022-11-23 01:30:26,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3983700Z [2022-11-23 01:30:26,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:32.3983975Z [2022-11-23 01:30:26,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:32.3984306Z [2022-11-23 01:30:26,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:32.3984625Z [2022-11-23 01:30:26,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3984889Z [2022-11-23 01:30:26,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()]
2022-11-23T01:32:32.3985210Z [2022-11-23 01:30:26,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439
2022-11-23T01:32:32.3985433Z [2022-11-23 01:30:26,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.3985793Z [2022-11-23 01:30:26,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.3986080Z [2022-11-23 01:30:26,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.3986379Z [2022-11-23 01:30:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.3986637Z [2022-11-23 01:30:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)]
2022-11-23T01:32:32.3986917Z [2022-11-23 01:30:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)]
2022-11-23T01:32:32.3987211Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()]
2022-11-23T01:32:32.3987470Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:32.3987782Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440
2022-11-23T01:32:32.3988023Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 []
2022-11-23T01:32:32.3988283Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:32:32.3988557Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.3988801Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3989190Z [2022-11-23 01:30:26,175] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157e682f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436>
2022-11-23T01:32:32.3989439Z [2022-11-23 01:30:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.3989675Z [2022-11-23 01:30:26,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.3989931Z [2022-11-23 01:30:26,177] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.3990184Z [2022-11-23 01:30:26,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.3990515Z [2022-11-23 01:30:26,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.3990662Z  __compiled_fn_777 <eval_with_key>.4782 opcode, name, target, args, kwargs
2022-11-23T01:32:32.3990788Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.3990877Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.3990969Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.3991106Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {}
2022-11-23T01:32:32.3991275Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {}
2022-11-23T01:32:32.3991417Z call_function, sum_default, aten.sum.default, (mul_tensor,), {}
2022-11-23T01:32:32.3991532Z output, output, output, ((sum_default,),), {}
2022-11-23T01:32:32.3991537Z 
2022-11-23T01:32:32.3991866Z [2022-11-23 01:30:26,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3991967Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.3992059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3992154Z               4 BUILD_MAP                0
2022-11-23T01:32:32.3992258Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.3992351Z               8 DICT_MERGE               1
2022-11-23T01:32:32.3992446Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.3992530Z              12 RETURN_VALUE
2022-11-23T01:32:32.3992535Z 
2022-11-23T01:32:32.3992605Z  
2022-11-23T01:32:32.3992917Z [2022-11-23 01:30:26,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.3993034Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_777)
2022-11-23T01:32:32.3993131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3993227Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3993310Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.3993406Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3993502Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:32.3993582Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.3993673Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3993767Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:32.3993847Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.3993943Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.3994061Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.3994156Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.3994247Z              26 LOAD_CONST               1 (3)
2022-11-23T01:32:32.3994321Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.3994431Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.3994527Z              32 LOAD_CONST               2 (0)
2022-11-23T01:32:32.3994608Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.3994701Z              36 BUILD_TUPLE              2
2022-11-23T01:32:32.3994781Z              38 RETURN_VALUE
2022-11-23T01:32:32.3994786Z 
2022-11-23T01:32:32.3994851Z  
2022-11-23T01:32:32.3995035Z [2022-11-23 01:30:26,182] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.3995111Z  - 
2022-11-23T01:32:32.3995234Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.3995303Z             {
2022-11-23T01:32:32.3995446Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.3995640Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 4'],
2022-11-23T01:32:32.3995764Z                 'obj_weakref': None
2022-11-23T01:32:32.3995984Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.3996052Z             }
2022-11-23T01:32:32.3996120Z             
2022-11-23T01:32:32.3996196Z  - 
2022-11-23T01:32:32.3996325Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.3996392Z             {
2022-11-23T01:32:32.3996539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3996643Z                 'code': None,
2022-11-23T01:32:32.3996912Z                 'obj_weakref': <weakref at 0x7f2151eec810; to 'Tensor' at 0x7f2151f18630>
2022-11-23T01:32:32.3997163Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3997233Z             }
2022-11-23T01:32:32.3997300Z             
2022-11-23T01:32:32.3997398Z  - 
2022-11-23T01:32:32.3997526Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.3997588Z             {
2022-11-23T01:32:32.3997737Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3997850Z                 'code': None,
2022-11-23T01:32:32.3998067Z                 'obj_weakref': <weakref at 0x7f1ffad38cc0; to 'Tensor' at 0x7f1fead71b20>
2022-11-23T01:32:32.3998316Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3998384Z             }
2022-11-23T01:32:32.3998452Z             
2022-11-23T01:32:32.3998522Z  - 
2022-11-23T01:32:32.3998649Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.3998720Z             {
2022-11-23T01:32:32.3998869Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.3998980Z                 'code': None,
2022-11-23T01:32:32.3999194Z                 'obj_weakref': <weakref at 0x7f201e3a4ae0; to 'Tensor' at 0x7f201e6e0450>
2022-11-23T01:32:32.3999448Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.3999516Z             }
2022-11-23T01:32:32.3999578Z             
2022-11-23T01:32:32.3999658Z  - 
2022-11-23T01:32:32.3999785Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:32.3999854Z             {
2022-11-23T01:32:32.4000000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4000111Z                 'code': None,
2022-11-23T01:32:32.4000318Z                 'obj_weakref': <weakref at 0x7f1ffad79d50; to 'Tensor' at 0x7f201e6e11c0>
2022-11-23T01:32:32.4000568Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4000637Z             }
2022-11-23T01:32:32.4000705Z             
2022-11-23T01:32:32.4000781Z  - 
2022-11-23T01:32:32.4000916Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4000985Z             {
2022-11-23T01:32:32.4001123Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4001298Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4001420Z                 'obj_weakref': None
2022-11-23T01:32:32.4001649Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4001718Z             }
2022-11-23T01:32:32.4001785Z             
2022-11-23T01:32:32.4001859Z  - 
2022-11-23T01:32:32.4001981Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4002049Z             {
2022-11-23T01:32:32.4002190Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4002413Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4002535Z                 'obj_weakref': None
2022-11-23T01:32:32.4002760Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4002827Z             }
2022-11-23T01:32:32.4002891Z             
2022-11-23T01:32:32.4002968Z  - 
2022-11-23T01:32:32.4003107Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4003175Z             {
2022-11-23T01:32:32.4003301Z                 'guard_types': None,
2022-11-23T01:32:32.4003412Z                 'code': None,
2022-11-23T01:32:32.4003535Z                 'obj_weakref': None
2022-11-23T01:32:32.4003654Z                 'guarded_class': None
2022-11-23T01:32:32.4003723Z             }
2022-11-23T01:32:32.4003791Z             
2022-11-23T01:32:32.4004057Z [2022-11-23 01:30:26,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 759
2022-11-23T01:32:32.4004346Z [2022-11-23 01:30:26,200] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4004594Z [2022-11-23 01:30:26,204] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.4004599Z 
2022-11-23T01:32:32.4004701Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4004803Z import torch
2022-11-23T01:32:32.4004870Z import random
2022-11-23T01:32:32.4004993Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4005121Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4005126Z 
2022-11-23T01:32:32.4005209Z aten = torch.ops.aten
2022-11-23T01:32:32.4005349Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4005447Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4005452Z 
2022-11-23T01:32:32.4005526Z import triton
2022-11-23T01:32:32.4005612Z import triton.language as tl
2022-11-23T01:32:32.4005740Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4005887Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4005893Z 
2022-11-23T01:32:32.4005897Z 
2022-11-23T01:32:32.4006070Z triton_fused_sum_1_div_mul0 = async_compile.triton('''
2022-11-23T01:32:32.4006145Z import triton
2022-11-23T01:32:32.4006238Z import triton.language as tl
2022-11-23T01:32:32.4006356Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4006459Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4006589Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4006717Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4006722Z 
2022-11-23T01:32:32.4006815Z @reduction(size_hints=[32, 8192],
2022-11-23T01:32:32.4006933Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4007020Z               filename=__file__,
2022-11-23T01:32:32.4007383Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4007456Z @triton.jit
2022-11-23T01:32:32.4007650Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4007717Z     xnumel = 18
2022-11-23T01:32:32.4007795Z     rnumel = 7823
2022-11-23T01:32:32.4007894Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4008035Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4008121Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4008244Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4008315Z     x0 = xindex
2022-11-23T01:32:32.4008454Z     tmp4 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None)
2022-11-23T01:32:32.4008574Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4008683Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4008774Z         rindex = roffset + rbase
2022-11-23T01:32:32.4008863Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4008936Z         r1 = rindex
2022-11-23T01:32:32.4009016Z         tmp0 = r1 + (7823*x0)
2022-11-23T01:32:32.4009085Z         tmp1 = 140800
2022-11-23T01:32:32.4009168Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.4009490Z         tmp3 = tl.load(in_ptr0 + ((r1 + (7823*x0)) % 140800 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0)
2022-11-23T01:32:32.4009574Z         tmp5 = tmp3 / tmp4
2022-11-23T01:32:32.4009891Z         tmp6 = tl.load(in_ptr2 + ((r1 + (7823*x0)) % 140800 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0)
2022-11-23T01:32:32.4009974Z         tmp7 = tmp5 * tmp6
2022-11-23T01:32:32.4010069Z         tmp8 = tl.where(tmp2, tmp7, 0)
2022-11-23T01:32:32.4010194Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.4010305Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4010434Z     tl.store(out_ptr0 + x0, tmp9, xmask)
2022-11-23T01:32:32.4010520Z ''')
2022-11-23T01:32:32.4010525Z 
2022-11-23T01:32:32.4010530Z 
2022-11-23T01:32:32.4010703Z triton_fused_sum_1_div_mul1 = async_compile.triton('''
2022-11-23T01:32:32.4010778Z import triton
2022-11-23T01:32:32.4010899Z import triton.language as tl
2022-11-23T01:32:32.4011016Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4011114Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4011248Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4011377Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4011382Z 
2022-11-23T01:32:32.4011477Z @reduction(size_hints=[1, 32],
2022-11-23T01:32:32.4011596Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4011682Z               filename=__file__,
2022-11-23T01:32:32.4012022Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4012097Z @triton.jit
2022-11-23T01:32:32.4012264Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4012338Z     xnumel = 1
2022-11-23T01:32:32.4012415Z     rnumel = 18
2022-11-23T01:32:32.4012515Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4012654Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4012739Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4012860Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4012974Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4013081Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4013172Z         rindex = roffset + rbase
2022-11-23T01:32:32.4013259Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4013334Z         r0 = rindex
2022-11-23T01:32:32.4013539Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.4013663Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.4013774Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4013912Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:32.4014000Z ''')
2022-11-23T01:32:32.4014005Z 
2022-11-23T01:32:32.4014010Z 
2022-11-23T01:32:32.4014103Z async_compile.wait(globals())
2022-11-23T01:32:32.4014181Z del async_compile
2022-11-23T01:32:32.4014186Z 
2022-11-23T01:32:32.4014261Z def call(args):
2022-11-23T01:32:32.4014349Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.4014426Z     args.clear()
2022-11-23T01:32:32.4014618Z     buf0 = empty_strided((18, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4014710Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4014875Z     triton_fused_sum_1_div_mul0.run(arg2_1, arg1_1, arg0_1, buf0, 18, 7823, grid=grid(18), stream=stream0)
2022-11-23T01:32:32.4014948Z     del arg0_1
2022-11-23T01:32:32.4015024Z     del arg1_1
2022-11-23T01:32:32.4015096Z     del arg2_1
2022-11-23T01:32:32.4015285Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4015426Z     triton_fused_sum_1_div_mul1.run(buf0, buf1, 1, 18, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.4015507Z     return (buf1, )
2022-11-23T01:32:32.4015512Z 
2022-11-23T01:32:32.4015516Z 
2022-11-23T01:32:32.4015597Z if __name__ == "__main__":
2022-11-23T01:32:32.4015717Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4015847Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4016076Z     arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4016266Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4016489Z     arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4016646Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.4016660Z 
2022-11-23T01:32:32.4017026Z [2022-11-23 01:30:26,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/55/c55denz5uw3nrpbjqijdr7zyhtx6xdp4ly4iqprw7np2kd6webeh.py
2022-11-23T01:32:32.4017318Z [2022-11-23 01:30:26,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 759
2022-11-23T01:32:32.4017323Z 
2022-11-23T01:32:32.4017424Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4017501Z import torch
2022-11-23T01:32:32.4017579Z import random
2022-11-23T01:32:32.4017702Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4017829Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4017835Z 
2022-11-23T01:32:32.4017918Z aten = torch.ops.aten
2022-11-23T01:32:32.4018054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4018152Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4018157Z 
2022-11-23T01:32:32.4018233Z import triton
2022-11-23T01:32:32.4018327Z import triton.language as tl
2022-11-23T01:32:32.4018456Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4018602Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4018610Z 
2022-11-23T01:32:32.4018614Z 
2022-11-23T01:32:32.4019069Z triton_fused_mul_sum_1_div0 = async_compile.triton('''
2022-11-23T01:32:32.4019154Z import triton
2022-11-23T01:32:32.4019242Z import triton.language as tl
2022-11-23T01:32:32.4019359Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4019465Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4019601Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4019731Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4019736Z 
2022-11-23T01:32:32.4019829Z @reduction(size_hints=[32, 8192],
2022-11-23T01:32:32.4019947Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4020031Z               filename=__file__,
2022-11-23T01:32:32.4020396Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4020474Z @triton.jit
2022-11-23T01:32:32.4020666Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4020742Z     xnumel = 18
2022-11-23T01:32:32.4020817Z     rnumel = 7823
2022-11-23T01:32:32.4020917Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4021058Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4021137Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4021258Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4021331Z     x0 = xindex
2022-11-23T01:32:32.4021494Z     tmp4 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), None).to(tl.float32)
2022-11-23T01:32:32.4021615Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4021723Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4021813Z         rindex = roffset + rbase
2022-11-23T01:32:32.4021894Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4021971Z         r1 = rindex
2022-11-23T01:32:32.4022053Z         tmp0 = r1 + (7823*x0)
2022-11-23T01:32:32.4022128Z         tmp1 = 140800
2022-11-23T01:32:32.4022215Z         tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.4022567Z         tmp3 = tl.load(in_ptr0 + ((r1 + (7823*x0)) % 140800 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:32.4022650Z         tmp5 = tmp3 / tmp4
2022-11-23T01:32:32.4022987Z         tmp6 = tl.load(in_ptr2 + ((r1 + (7823*x0)) % 140800 + tl.zeros([XBLOCK, RBLOCK], tl.int32)), xmask & rmask & tmp2, eviction_policy='evict_last', other=0).to(tl.float32)
2022-11-23T01:32:32.4023119Z         tmp7 = tmp5 * tmp6
2022-11-23T01:32:32.4023222Z         tmp8 = tl.where(tmp2, tmp7, 0)
2022-11-23T01:32:32.4023347Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.4023465Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4023593Z     tl.store(out_ptr0 + x0, tmp9, xmask)
2022-11-23T01:32:32.4023684Z ''')
2022-11-23T01:32:32.4023690Z 
2022-11-23T01:32:32.4023694Z 
2022-11-23T01:32:32.4023868Z triton_fused_mul_sum_1_div1 = async_compile.triton('''
2022-11-23T01:32:32.4023938Z import triton
2022-11-23T01:32:32.4024034Z import triton.language as tl
2022-11-23T01:32:32.4024151Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4024257Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4024393Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4024522Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4024527Z 
2022-11-23T01:32:32.4024619Z @reduction(size_hints=[1, 32],
2022-11-23T01:32:32.4024734Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4024821Z               filename=__file__,
2022-11-23T01:32:32.4025151Z               meta={'signature': {0: '*fp32', 1: '*fp16', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4025232Z @triton.jit
2022-11-23T01:32:32.4025405Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4025479Z     xnumel = 1
2022-11-23T01:32:32.4025553Z     rnumel = 18
2022-11-23T01:32:32.4025651Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4025785Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4025870Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4025992Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4026112Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4026222Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4026312Z         rindex = roffset + rbase
2022-11-23T01:32:32.4026399Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4026466Z         r0 = rindex
2022-11-23T01:32:32.4026667Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.4026795Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.4026912Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4027050Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:32.4027137Z ''')
2022-11-23T01:32:32.4027142Z 
2022-11-23T01:32:32.4027147Z 
2022-11-23T01:32:32.4027242Z async_compile.wait(globals())
2022-11-23T01:32:32.4027320Z del async_compile
2022-11-23T01:32:32.4027325Z 
2022-11-23T01:32:32.4027395Z def call(args):
2022-11-23T01:32:32.4027484Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.4027561Z     args.clear()
2022-11-23T01:32:32.4027762Z     buf0 = empty_strided((18, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4027853Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4028019Z     triton_fused_mul_sum_1_div0.run(arg2_1, arg1_1, arg0_1, buf0, 18, 7823, grid=grid(18), stream=stream0)
2022-11-23T01:32:32.4028094Z     del arg0_1
2022-11-23T01:32:32.4028163Z     del arg1_1
2022-11-23T01:32:32.4028236Z     del arg2_1
2022-11-23T01:32:32.4028425Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4028588Z     triton_fused_mul_sum_1_div1.run(buf0, buf1, 1, 18, grid=grid(1), stream=stream0)
2022-11-23T01:32:32.4028666Z     return (buf1, )
2022-11-23T01:32:32.4028671Z 
2022-11-23T01:32:32.4028676Z 
2022-11-23T01:32:32.4028756Z if __name__ == "__main__":
2022-11-23T01:32:32.4028878Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4029009Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4029264Z     arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4029456Z     arg1_1 = rand_strided((), (), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4029678Z     arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4029840Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.4029846Z 
2022-11-23T01:32:32.4029918Z ok (0.418s)
2022-11-23T01:32:32.4030334Z   test_to_device_constant_cuda (__main__.CudaTests) ... [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4030683Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4030905Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4031167Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4031439Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4031758Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4032102Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4032427Z [2022-11-23 01:30:26,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4032809Z [2022-11-23 01:30:26,316] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754> 
2022-11-23T01:32:32.4032913Z  1755           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4033019Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:32.4033118Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:32.4033214Z                6 STORE_FAST               1 (d1)
2022-11-23T01:32:32.4033222Z 
2022-11-23T01:32:32.4033320Z 1756           8 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4033459Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4033558Z               12 COMPARE_OP               2 (==)
2022-11-23T01:32:32.4033666Z               14 POP_JUMP_IF_FALSE       11 (to 22)
2022-11-23T01:32:32.4033671Z 
2022-11-23T01:32:32.4033817Z 1757          16 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:32.4033913Z               18 STORE_FAST               2 (d2)
2022-11-23T01:32:32.4034014Z               20 JUMP_FORWARD             2 (to 26)
2022-11-23T01:32:32.4034019Z 
2022-11-23T01:32:32.4034161Z 1759     >>   22 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4034259Z               24 STORE_FAST               2 (d2)
2022-11-23T01:32:32.4034264Z 
2022-11-23T01:32:32.4034359Z 1761     >>   26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:32.4034463Z               28 LOAD_ATTR                3 (as_tensor)
2022-11-23T01:32:32.4034561Z               30 LOAD_GLOBAL              4 (list)
2022-11-23T01:32:32.4034661Z               32 LOAD_GLOBAL              5 (range)
2022-11-23T01:32:32.4034755Z               34 LOAD_CONST               3 (64)
2022-11-23T01:32:32.4034853Z               36 CALL_FUNCTION            1
2022-11-23T01:32:32.4034950Z               38 CALL_FUNCTION            1
2022-11-23T01:32:32.4035042Z               40 LOAD_FAST                2 (d2)
2022-11-23T01:32:32.4035198Z               42 LOAD_CONST               4 (('device',))
2022-11-23T01:32:32.4035295Z               44 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4035396Z               46 STORE_FAST               3 (const1)
2022-11-23T01:32:32.4035402Z 
2022-11-23T01:32:32.4035534Z 1763          48 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:32.4035633Z               50 LOAD_ATTR                6 (arange)
2022-11-23T01:32:32.4035732Z               52 LOAD_CONST               5 (10)
2022-11-23T01:32:32.4035829Z               54 LOAD_FAST                2 (d2)
2022-11-23T01:32:32.4035999Z               56 LOAD_CONST               4 (('device',))
2022-11-23T01:32:32.4036098Z               58 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4036197Z               60 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4036292Z               62 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4036386Z               64 CALL_METHOD              1
2022-11-23T01:32:32.4036482Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4036561Z               68 BINARY_ADD
2022-11-23T01:32:32.4036567Z 
2022-11-23T01:32:32.4036661Z 1764          70 LOAD_FAST                3 (const1)
2022-11-23T01:32:32.4036759Z               72 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4036857Z               74 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4036951Z               76 CALL_METHOD              1
2022-11-23T01:32:32.4036956Z 
2022-11-23T01:32:32.4037054Z 1765          78 LOAD_FAST                3 (const1)
2022-11-23T01:32:32.4037150Z               80 LOAD_CONST               6 (1)
2022-11-23T01:32:32.4037231Z               82 BINARY_ADD
2022-11-23T01:32:32.4037321Z               84 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4037416Z               86 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4037510Z               88 CALL_METHOD              1
2022-11-23T01:32:32.4037515Z 
2022-11-23T01:32:32.4037608Z 1762          90 BUILD_TUPLE              3
2022-11-23T01:32:32.4037690Z               92 RETURN_VALUE
2022-11-23T01:32:32.4037757Z  
2022-11-23T01:32:32.4037762Z 
2022-11-23T01:32:32.4038080Z [2022-11-23 01:30:26,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1755
2022-11-23T01:32:32.4038299Z [2022-11-23 01:30:26,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.4038553Z [2022-11-23 01:30:26,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:32.4038803Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cuda:0)]
2022-11-23T01:32:32.4039056Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d1 [ConstantVariable(str)]
2022-11-23T01:32:32.4039370Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1756
2022-11-23T01:32:32.4039584Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 []
2022-11-23T01:32:32.4039836Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:32.4040129Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:32.4040394Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 22 [ConstantVariable(bool)]
2022-11-23T01:32:32.4040704Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1759
2022-11-23T01:32:32.4040926Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu []
2022-11-23T01:32:32.4041171Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d2 [ConstantVariable(str)]
2022-11-23T01:32:32.4041481Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1761
2022-11-23T01:32:32.4041703Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4042114Z [2022-11-23 01:30:26,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4042454Z [2022-11-23 01:30:26,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4042842Z [2022-11-23 01:30:26,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:32.4043246Z [2022-11-23 01:30:26,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:32.4043682Z [2022-11-23 01:30:26,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:32.4044068Z [2022-11-23 01:30:26,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:32.4044415Z [2022-11-23 01:30:26,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.4044806Z [2022-11-23 01:30:26,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.4045233Z [2022-11-23 01:30:26,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.4045484Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST const1 [TensorVariable()]
2022-11-23T01:32:32.4045789Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1763
2022-11-23T01:32:32.4046013Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4046386Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4046713Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4047068Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.4047466Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:32.4047905Z [2022-11-23 01:30:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.4048145Z [2022-11-23 01:30:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:32.4048420Z [2022-11-23 01:30:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4048737Z [2022-11-23 01:30:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4049002Z [2022-11-23 01:30:26,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.4049278Z [2022-11-23 01:30:26,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4049588Z [2022-11-23 01:30:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1764
2022-11-23T01:32:32.4049856Z [2022-11-23 01:30:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable()]
2022-11-23T01:32:32.4057697Z [2022-11-23 01:30:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4058056Z [2022-11-23 01:30:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4058408Z [2022-11-23 01:30:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4058721Z [2022-11-23 01:30:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1765
2022-11-23T01:32:32.4059233Z [2022-11-23 01:30:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4059530Z [2022-11-23 01:30:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4059862Z [2022-11-23 01:30:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4060156Z [2022-11-23 01:30:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4060483Z [2022-11-23 01:30:26,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4060849Z [2022-11-23 01:30:26,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4061164Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1762
2022-11-23T01:32:32.4061461Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4061712Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4062098Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754>
2022-11-23T01:32:32.4062339Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4062575Z [2022-11-23 01:30:26,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4062835Z [2022-11-23 01:30:26,332] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4063089Z [2022-11-23 01:30:26,339] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4063283Z [2022-11-23 01:30:26,339] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4063430Z  __compiled_fn_778 <eval_with_key>.4788 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4063527Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4064062Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63],), {'device': 'cpu'}
2022-11-23T01:32:32.4064320Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (10,), {'device': 'cpu'}
2022-11-23T01:32:32.4064496Z call_method, to, to, (arange, 'cuda'), {}
2022-11-23T01:32:32.4064667Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:32.4064820Z call_method, to_1, to, (as_tensor, 'cuda'), {}
2022-11-23T01:32:32.4065005Z call_function, add_1, <built-in function add>, (as_tensor, 1), {}
2022-11-23T01:32:32.4065147Z call_method, to_2, to, (add_1, 'cuda'), {}
2022-11-23T01:32:32.4065266Z output, output, output, ((add, to_1, to_2),), {}
2022-11-23T01:32:32.4065272Z 
2022-11-23T01:32:32.4065602Z [2022-11-23 01:30:26,339] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4065705Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4065804Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4065891Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4065992Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4066086Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4066183Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4066268Z              12 RETURN_VALUE
2022-11-23T01:32:32.4066273Z 
2022-11-23T01:32:32.4066340Z  
2022-11-23T01:32:32.4066661Z [2022-11-23 01:30:26,339] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4066772Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_778)
2022-11-23T01:32:32.4066871Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4066971Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4067057Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4067154Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4067266Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4067378Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4067480Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4067556Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4067667Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4067763Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4067846Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4067954Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4068051Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4068134Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4068222Z              30 BUILD_TUPLE              3
2022-11-23T01:32:32.4068306Z              32 RETURN_VALUE
2022-11-23T01:32:32.4068313Z 
2022-11-23T01:32:32.4068380Z  
2022-11-23T01:32:32.4068569Z [2022-11-23 01:30:26,340] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4068646Z  - 
2022-11-23T01:32:32.4068772Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4068842Z             {
2022-11-23T01:32:32.4068985Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4069176Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4069302Z                 'obj_weakref': None
2022-11-23T01:32:32.4069529Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4069600Z             }
2022-11-23T01:32:32.4069669Z             
2022-11-23T01:32:32.4069747Z  - 
2022-11-23T01:32:32.4069868Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.4069938Z             {
2022-11-23T01:32:32.4070084Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.4070374Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.4070631Z                 'obj_weakref': <weakref at 0x7f1ffad796c0; to 'Tensor' at 0x7f1ffade5b70>
2022-11-23T01:32:32.4070883Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4070980Z             }
2022-11-23T01:32:32.4071042Z             
2022-11-23T01:32:32.4071120Z  - 
2022-11-23T01:32:32.4071251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4071320Z             {
2022-11-23T01:32:32.4071471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4071583Z                 'code': None,
2022-11-23T01:32:32.4071798Z                 'obj_weakref': <weakref at 0x7f1ffad796c0; to 'Tensor' at 0x7f1ffade5b70>
2022-11-23T01:32:32.4072040Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4072109Z             }
2022-11-23T01:32:32.4072181Z             
2022-11-23T01:32:32.4072260Z  - 
2022-11-23T01:32:32.4072398Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4072469Z             {
2022-11-23T01:32:32.4072611Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4072780Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4072909Z                 'obj_weakref': None
2022-11-23T01:32:32.4073146Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4073216Z             }
2022-11-23T01:32:32.4073286Z             
2022-11-23T01:32:32.4073362Z  - 
2022-11-23T01:32:32.4073490Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4073553Z             {
2022-11-23T01:32:32.4073699Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4073922Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4074047Z                 'obj_weakref': None
2022-11-23T01:32:32.4074276Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4074346Z             }
2022-11-23T01:32:32.4074415Z             
2022-11-23T01:32:32.4074485Z  - 
2022-11-23T01:32:32.4074618Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:32.4074690Z             {
2022-11-23T01:32:32.4074816Z                 'guard_types': None,
2022-11-23T01:32:32.4074931Z                 'code': None,
2022-11-23T01:32:32.4075055Z                 'obj_weakref': None
2022-11-23T01:32:32.4075182Z                 'guarded_class': None
2022-11-23T01:32:32.4075243Z             }
2022-11-23T01:32:32.4075313Z             
2022-11-23T01:32:32.4075390Z  - 
2022-11-23T01:32:32.4075527Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:32.4075597Z             {
2022-11-23T01:32:32.4075722Z                 'guard_types': None,
2022-11-23T01:32:32.4075827Z                 'code': None,
2022-11-23T01:32:32.4075953Z                 'obj_weakref': None
2022-11-23T01:32:32.4076083Z                 'guarded_class': None
2022-11-23T01:32:32.4076153Z             }
2022-11-23T01:32:32.4076224Z             
2022-11-23T01:32:32.4076301Z  - 
2022-11-23T01:32:32.4076440Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4076502Z             {
2022-11-23T01:32:32.4076629Z                 'guard_types': None,
2022-11-23T01:32:32.4076744Z                 'code': None,
2022-11-23T01:32:32.4076869Z                 'obj_weakref': None
2022-11-23T01:32:32.4076997Z                 'guarded_class': None
2022-11-23T01:32:32.4077067Z             }
2022-11-23T01:32:32.4077135Z             
2022-11-23T01:32:32.4077396Z [2022-11-23 01:30:26,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 760
2022-11-23T01:32:32.4077652Z [2022-11-23 01:30:26,362] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4077977Z [2022-11-23 01:30:26,363] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4078340Z [2022-11-23 01:30:26,434] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7x/c7xg7hk7axmihdwc6rjknrrtd55hlj2oy77h64bpqyr5veeozseq.py
2022-11-23T01:32:32.4078607Z [2022-11-23 01:30:26,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 760
2022-11-23T01:32:32.4078873Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4079188Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4079411Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4079665Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4079938Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4080259Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4080606Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4080932Z [2022-11-23 01:30:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4081306Z [2022-11-23 01:30:26,438] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754> 
2022-11-23T01:32:32.4081408Z  1755           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4081513Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:32.4081616Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:32.4081716Z                6 STORE_FAST               1 (d1)
2022-11-23T01:32:32.4081721Z 
2022-11-23T01:32:32.4081820Z 1756           8 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4081961Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4082064Z               12 COMPARE_OP               2 (==)
2022-11-23T01:32:32.4082173Z               14 POP_JUMP_IF_FALSE       11 (to 22)
2022-11-23T01:32:32.4082178Z 
2022-11-23T01:32:32.4082326Z 1757          16 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:32.4082423Z               18 STORE_FAST               2 (d2)
2022-11-23T01:32:32.4082526Z               20 JUMP_FORWARD             2 (to 26)
2022-11-23T01:32:32.4082531Z 
2022-11-23T01:32:32.4082674Z 1759     >>   22 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4082772Z               24 STORE_FAST               2 (d2)
2022-11-23T01:32:32.4082777Z 
2022-11-23T01:32:32.4082874Z 1761     >>   26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:32.4082978Z               28 LOAD_ATTR                3 (as_tensor)
2022-11-23T01:32:32.4083078Z               30 LOAD_GLOBAL              4 (list)
2022-11-23T01:32:32.4083176Z               32 LOAD_GLOBAL              5 (range)
2022-11-23T01:32:32.4083274Z               34 LOAD_CONST               3 (64)
2022-11-23T01:32:32.4083373Z               36 CALL_FUNCTION            1
2022-11-23T01:32:32.4083470Z               38 CALL_FUNCTION            1
2022-11-23T01:32:32.4083560Z               40 LOAD_FAST                2 (d2)
2022-11-23T01:32:32.4083717Z               42 LOAD_CONST               4 (('device',))
2022-11-23T01:32:32.4083816Z               44 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4083922Z               46 STORE_FAST               3 (const1)
2022-11-23T01:32:32.4083927Z 
2022-11-23T01:32:32.4084029Z 1763          48 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:32.4084129Z               50 LOAD_ATTR                6 (arange)
2022-11-23T01:32:32.4084249Z               52 LOAD_CONST               5 (10)
2022-11-23T01:32:32.4084347Z               54 LOAD_FAST                2 (d2)
2022-11-23T01:32:32.4084494Z               56 LOAD_CONST               4 (('device',))
2022-11-23T01:32:32.4084594Z               58 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4084717Z               60 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4084814Z               62 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4084912Z               64 CALL_METHOD              1
2022-11-23T01:32:32.4085011Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4085092Z               68 BINARY_ADD
2022-11-23T01:32:32.4085097Z 
2022-11-23T01:32:32.4085191Z 1764          70 LOAD_FAST                3 (const1)
2022-11-23T01:32:32.4085291Z               72 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4085387Z               74 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4085483Z               76 CALL_METHOD              1
2022-11-23T01:32:32.4085491Z 
2022-11-23T01:32:32.4085589Z 1765          78 LOAD_FAST                3 (const1)
2022-11-23T01:32:32.4085690Z               80 LOAD_CONST               6 (1)
2022-11-23T01:32:32.4085770Z               82 BINARY_ADD
2022-11-23T01:32:32.4085871Z               84 LOAD_METHOD              7 (to)
2022-11-23T01:32:32.4085962Z               86 LOAD_FAST                1 (d1)
2022-11-23T01:32:32.4086059Z               88 CALL_METHOD              1
2022-11-23T01:32:32.4086064Z 
2022-11-23T01:32:32.4086159Z 1762          90 BUILD_TUPLE              3
2022-11-23T01:32:32.4086242Z               92 RETURN_VALUE
2022-11-23T01:32:32.4086310Z  
2022-11-23T01:32:32.4086315Z 
2022-11-23T01:32:32.4086636Z [2022-11-23 01:30:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1755
2022-11-23T01:32:32.4086853Z [2022-11-23 01:30:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.4087105Z [2022-11-23 01:30:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:32.4087351Z [2022-11-23 01:30:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cuda:0)]
2022-11-23T01:32:32.4087606Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d1 [ConstantVariable(str)]
2022-11-23T01:32:32.4087923Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1756
2022-11-23T01:32:32.4088136Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 []
2022-11-23T01:32:32.4088391Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:32.4088678Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:32.4088946Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 22 [ConstantVariable(bool)]
2022-11-23T01:32:32.4089257Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1759
2022-11-23T01:32:32.4089480Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu []
2022-11-23T01:32:32.4089725Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d2 [ConstantVariable(str)]
2022-11-23T01:32:32.4090038Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1761
2022-11-23T01:32:32.4090264Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4090671Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4091008Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4091381Z [2022-11-23 01:30:26,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list)]
2022-11-23T01:32:32.4091802Z [2022-11-23 01:30:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:32.4092233Z [2022-11-23 01:30:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:32.4092623Z [2022-11-23 01:30:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:32.4092968Z [2022-11-23 01:30:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable()]
2022-11-23T01:32:32.4093364Z [2022-11-23 01:30:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:32.4093792Z [2022-11-23 01:30:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7f209c394c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.4094044Z [2022-11-23 01:30:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST const1 [TensorVariable()]
2022-11-23T01:32:32.4094370Z [2022-11-23 01:30:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1763
2022-11-23T01:32:32.4094588Z [2022-11-23 01:30:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4094964Z [2022-11-23 01:30:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4095292Z [2022-11-23 01:30:26,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4095650Z [2022-11-23 01:30:26,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.4096053Z [2022-11-23 01:30:26,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:32.4096494Z [2022-11-23 01:30:26,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:32.4096739Z [2022-11-23 01:30:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:32.4097016Z [2022-11-23 01:30:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4097327Z [2022-11-23 01:30:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4097567Z [2022-11-23 01:30:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:32.4097874Z [2022-11-23 01:30:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4098183Z [2022-11-23 01:30:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1764
2022-11-23T01:32:32.4098454Z [2022-11-23 01:30:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable()]
2022-11-23T01:32:32.4098723Z [2022-11-23 01:30:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4099214Z [2022-11-23 01:30:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4099561Z [2022-11-23 01:30:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4099878Z [2022-11-23 01:30:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1765
2022-11-23T01:32:32.4100159Z [2022-11-23 01:30:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST const1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4100458Z [2022-11-23 01:30:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4100796Z [2022-11-23 01:30:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4101093Z [2022-11-23 01:30:26,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4101428Z [2022-11-23 01:30:26,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:32.4101791Z [2022-11-23 01:30:26,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), to), ConstantVariable(str)]
2022-11-23T01:32:32.4102106Z [2022-11-23 01:30:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1762
2022-11-23T01:32:32.4102410Z [2022-11-23 01:30:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4102663Z [2022-11-23 01:30:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4103049Z [2022-11-23 01:30:26,451] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec85b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1754>
2022-11-23T01:32:32.4103304Z [2022-11-23 01:30:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4103546Z [2022-11-23 01:30:26,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4103809Z [2022-11-23 01:30:26,453] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4104067Z [2022-11-23 01:30:26,460] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4104267Z [2022-11-23 01:30:26,460] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4104404Z  __compiled_fn_779 <eval_with_key>.4794 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4104502Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4105014Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f209c394c60>, ([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63],), {'device': 'cpu'}
2022-11-23T01:32:32.4105274Z call_function, arange, <built-in method arange of type object at 0x7f209c394c60>, (10,), {'device': 'cpu'}
2022-11-23T01:32:32.4105419Z call_method, to, to, (arange, 'cuda'), {}
2022-11-23T01:32:32.4105646Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:32.4105800Z call_method, to_1, to, (as_tensor, 'cuda'), {}
2022-11-23T01:32:32.4105990Z call_function, add_1, <built-in function add>, (as_tensor, 1), {}
2022-11-23T01:32:32.4106135Z call_method, to_2, to, (add_1, 'cuda'), {}
2022-11-23T01:32:32.4106243Z output, output, output, ((add, to_1, to_2),), {}
2022-11-23T01:32:32.4106248Z 
2022-11-23T01:32:32.4106583Z [2022-11-23 01:30:26,461] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4106687Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4106790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4106886Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4106989Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4107086Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4107176Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4107261Z              12 RETURN_VALUE
2022-11-23T01:32:32.4107267Z 
2022-11-23T01:32:32.4107334Z  
2022-11-23T01:32:32.4107660Z [2022-11-23 01:30:26,461] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4107783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_779)
2022-11-23T01:32:32.4107884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4107983Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4108067Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4108155Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4108271Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4108382Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4108482Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4108570Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4108681Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4108778Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4108854Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4108965Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4109062Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4109148Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4109247Z              30 BUILD_TUPLE              3
2022-11-23T01:32:32.4109330Z              32 RETURN_VALUE
2022-11-23T01:32:32.4109335Z 
2022-11-23T01:32:32.4109403Z  
2022-11-23T01:32:32.4109596Z [2022-11-23 01:30:26,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4109667Z  - 
2022-11-23T01:32:32.4109796Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4109867Z             {
2022-11-23T01:32:32.4110016Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4110209Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4110415Z                 'obj_weakref': None
2022-11-23T01:32:32.4110661Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4110726Z             }
2022-11-23T01:32:32.4110798Z             
2022-11-23T01:32:32.4110876Z  - 
2022-11-23T01:32:32.4111007Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.4111077Z             {
2022-11-23T01:32:32.4111221Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.4111390Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.4111643Z                 'obj_weakref': <weakref at 0x7f1ff815a660; to 'Tensor' at 0x7f1fd9a6f8d0>
2022-11-23T01:32:32.4111905Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4111976Z             }
2022-11-23T01:32:32.4112046Z             
2022-11-23T01:32:32.4112146Z  - 
2022-11-23T01:32:32.4112280Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4112351Z             {
2022-11-23T01:32:32.4112493Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4112610Z                 'code': None,
2022-11-23T01:32:32.4112827Z                 'obj_weakref': <weakref at 0x7f1ff815a660; to 'Tensor' at 0x7f1fd9a6f8d0>
2022-11-23T01:32:32.4113078Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4113152Z             }
2022-11-23T01:32:32.4113223Z             
2022-11-23T01:32:32.4113301Z  - 
2022-11-23T01:32:32.4113431Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4113503Z             {
2022-11-23T01:32:32.4113644Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4113821Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4113946Z                 'obj_weakref': None
2022-11-23T01:32:32.4114187Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4114263Z             }
2022-11-23T01:32:32.4114325Z             
2022-11-23T01:32:32.4114403Z  - 
2022-11-23T01:32:32.4114535Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4114605Z             {
2022-11-23T01:32:32.4114749Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4114973Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4115097Z                 'obj_weakref': None
2022-11-23T01:32:32.4115318Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4115392Z             }
2022-11-23T01:32:32.4115463Z             
2022-11-23T01:32:32.4115541Z  - 
2022-11-23T01:32:32.4115676Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:32.4115751Z             {
2022-11-23T01:32:32.4115871Z                 'guard_types': None,
2022-11-23T01:32:32.4115988Z                 'code': None,
2022-11-23T01:32:32.4116112Z                 'obj_weakref': None
2022-11-23T01:32:32.4116241Z                 'guarded_class': None
2022-11-23T01:32:32.4116315Z             }
2022-11-23T01:32:32.4116386Z             
2022-11-23T01:32:32.4116466Z  - 
2022-11-23T01:32:32.4116596Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:32.4116668Z             {
2022-11-23T01:32:32.4116796Z                 'guard_types': None,
2022-11-23T01:32:32.4116910Z                 'code': None,
2022-11-23T01:32:32.4117035Z                 'obj_weakref': None
2022-11-23T01:32:32.4117167Z                 'guarded_class': None
2022-11-23T01:32:32.4117237Z             }
2022-11-23T01:32:32.4117302Z             
2022-11-23T01:32:32.4117381Z  - 
2022-11-23T01:32:32.4117522Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4117593Z             {
2022-11-23T01:32:32.4117718Z                 'guard_types': None,
2022-11-23T01:32:32.4117830Z                 'code': None,
2022-11-23T01:32:32.4117963Z                 'obj_weakref': None
2022-11-23T01:32:32.4118083Z                 'guarded_class': None
2022-11-23T01:32:32.4118152Z             }
2022-11-23T01:32:32.4118222Z             
2022-11-23T01:32:32.4118492Z [2022-11-23 01:30:26,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 761
2022-11-23T01:32:32.4118749Z [2022-11-23 01:30:26,482] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4119046Z [2022-11-23 01:30:26,483] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4119448Z [2022-11-23 01:30:26,545] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/42/c42p4jabsdv32bc6gsmjxikyy2cnjrnbtz5vykjtvi7vltsrtl3u.py
2022-11-23T01:32:32.4119723Z [2022-11-23 01:30:26,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 761
2022-11-23T01:32:32.4119750Z 
2022-11-23T01:32:32.4119846Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4119922Z import torch
2022-11-23T01:32:32.4120000Z import random
2022-11-23T01:32:32.4120125Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4120256Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4120262Z 
2022-11-23T01:32:32.4120347Z aten = torch.ops.aten
2022-11-23T01:32:32.4120492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4120586Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4120599Z 
2022-11-23T01:32:32.4120668Z import triton
2022-11-23T01:32:32.4120763Z import triton.language as tl
2022-11-23T01:32:32.4120899Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4121044Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4121217Z constant0 = None  # 001ba0e61f337f449db2ca901dfd67b1df5cf0825674994be1be485b60aabc98
2022-11-23T01:32:32.4121381Z constant0_cuda0 = None  # beb02a6268c3f406824d31228875474e7116cf8e770246a5eb85f5795315f9cc
2022-11-23T01:32:32.4121391Z 
2022-11-23T01:32:32.4121395Z 
2022-11-23T01:32:32.4121584Z triton_fused_add_arange__to_copy0 = async_compile.triton('''
2022-11-23T01:32:32.4121654Z import triton
2022-11-23T01:32:32.4121752Z import triton.language as tl
2022-11-23T01:32:32.4121869Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4121979Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4122116Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4122246Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4122252Z 
2022-11-23T01:32:32.4122630Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4122706Z @triton.jit
2022-11-23T01:32:32.4122836Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4122917Z     xnumel = 10
2022-11-23T01:32:32.4123021Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4123159Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4123246Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4123323Z     x0 = xindex
2022-11-23T01:32:32.4123423Z     tmp2 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4123490Z     tmp0 = x0
2022-11-23T01:32:32.4123584Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.4123666Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.4123806Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4123894Z ''')
2022-11-23T01:32:32.4123899Z 
2022-11-23T01:32:32.4123904Z 
2022-11-23T01:32:32.4124127Z triton_fused_add_1__to_copy_1_lift_fresh_copy__to_copy_21 = async_compile.triton('''
2022-11-23T01:32:32.4124206Z import triton
2022-11-23T01:32:32.4124301Z import triton.language as tl
2022-11-23T01:32:32.4124411Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4124519Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4124656Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4124785Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4124790Z 
2022-11-23T01:32:32.4125172Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4125247Z @triton.jit
2022-11-23T01:32:32.4125395Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4125470Z     xnumel = 64
2022-11-23T01:32:32.4125593Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4125728Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4125817Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4125890Z     x0 = xindex
2022-11-23T01:32:32.4125992Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4126088Z     tmp1 = 1
2022-11-23T01:32:32.4126172Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4126303Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.4126438Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.4126528Z ''')
2022-11-23T01:32:32.4126533Z 
2022-11-23T01:32:32.4126538Z 
2022-11-23T01:32:32.4126632Z async_compile.wait(globals())
2022-11-23T01:32:32.4126713Z del async_compile
2022-11-23T01:32:32.4126718Z 
2022-11-23T01:32:32.4126798Z def call(args):
2022-11-23T01:32:32.4126872Z     arg0_1, = args
2022-11-23T01:32:32.4126942Z     args.clear()
2022-11-23T01:32:32.4127142Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4127235Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4127396Z     triton_fused_add_arange__to_copy0.run(arg0_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.4127471Z     del arg0_1
2022-11-23T01:32:32.4127667Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4127860Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4128064Z     triton_fused_add_1__to_copy_1_lift_fresh_copy__to_copy_21.run(constant0_cuda0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.4128148Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4128153Z 
2022-11-23T01:32:32.4128165Z 
2022-11-23T01:32:32.4128240Z if __name__ == "__main__":
2022-11-23T01:32:32.4128362Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4128495Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4128700Z     constant0 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:32.4128913Z     constant0_cuda0 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4129112Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4129236Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4129241Z 
2022-11-23T01:32:32.4129245Z 
2022-11-23T01:32:32.4129349Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4129418Z import torch
2022-11-23T01:32:32.4129496Z import random
2022-11-23T01:32:32.4129621Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4129749Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4129754Z 
2022-11-23T01:32:32.4129839Z aten = torch.ops.aten
2022-11-23T01:32:32.4129984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4130082Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4130087Z 
2022-11-23T01:32:32.4130159Z import triton
2022-11-23T01:32:32.4130254Z import triton.language as tl
2022-11-23T01:32:32.4130383Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4130528Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4130702Z constant0 = None  # 001ba0e61f337f449db2ca901dfd67b1df5cf0825674994be1be485b60aabc98
2022-11-23T01:32:32.4130869Z constant0_cuda0 = None  # beb02a6268c3f406824d31228875474e7116cf8e770246a5eb85f5795315f9cc
2022-11-23T01:32:32.4130875Z 
2022-11-23T01:32:32.4130879Z 
2022-11-23T01:32:32.4131067Z triton_fused_add__to_copy_arange0 = async_compile.triton('''
2022-11-23T01:32:32.4131146Z import triton
2022-11-23T01:32:32.4131234Z import triton.language as tl
2022-11-23T01:32:32.4131353Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4131460Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4131599Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4131781Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4131788Z 
2022-11-23T01:32:32.4132160Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4132265Z @triton.jit
2022-11-23T01:32:32.4132404Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4132473Z     xnumel = 10
2022-11-23T01:32:32.4132576Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4132709Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4132797Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4132870Z     x0 = xindex
2022-11-23T01:32:32.4132993Z     tmp2 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.4133066Z     tmp0 = x0
2022-11-23T01:32:32.4133150Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.4133236Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.4133382Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4133472Z ''')
2022-11-23T01:32:32.4133477Z 
2022-11-23T01:32:32.4133482Z 
2022-11-23T01:32:32.4133703Z triton_fused__to_copy_2_lift_fresh_copy__to_copy_1_add_11 = async_compile.triton('''
2022-11-23T01:32:32.4133784Z import triton
2022-11-23T01:32:32.4133879Z import triton.language as tl
2022-11-23T01:32:32.4133988Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4134093Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4134228Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4134358Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4134363Z 
2022-11-23T01:32:32.4134742Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*i64', 1: '*i64', 2: '*i64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4134819Z @triton.jit
2022-11-23T01:32:32.4134969Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4135046Z     xnumel = 64
2022-11-23T01:32:32.4135138Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4135272Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4135362Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4135437Z     x0 = xindex
2022-11-23T01:32:32.4135541Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4135616Z     tmp1 = 1
2022-11-23T01:32:32.4135698Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4135828Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.4135965Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.4136053Z ''')
2022-11-23T01:32:32.4136058Z 
2022-11-23T01:32:32.4136063Z 
2022-11-23T01:32:32.4136159Z async_compile.wait(globals())
2022-11-23T01:32:32.4136238Z del async_compile
2022-11-23T01:32:32.4136243Z 
2022-11-23T01:32:32.4136321Z def call(args):
2022-11-23T01:32:32.4136399Z     arg0_1, = args
2022-11-23T01:32:32.4136477Z     args.clear()
2022-11-23T01:32:32.4136668Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4136761Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4136923Z     triton_fused_add__to_copy_arange0.run(arg0_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.4137000Z     del arg0_1
2022-11-23T01:32:32.4137192Z     buf1 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4137384Z     buf2 = empty_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4137580Z     triton_fused__to_copy_2_lift_fresh_copy__to_copy_1_add_11.run(constant0_cuda0, buf1, buf2, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.4137670Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4137675Z 
2022-11-23T01:32:32.4137680Z 
2022-11-23T01:32:32.4137754Z if __name__ == "__main__":
2022-11-23T01:32:32.4137906Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4138039Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4138241Z     constant0 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:32.4138453Z     constant0_cuda0 = rand_strided((64, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4138677Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4138979Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4138985Z 
2022-11-23T01:32:32.4139063Z ok (0.235s)
2022-11-23T01:32:32.4139371Z   test_to_device_cuda (__main__.CudaTests) ... [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4139687Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4139915Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4140175Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4140455Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4140777Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4141124Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4141447Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4141821Z [2022-11-23 01:30:26,550] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741> 
2022-11-23T01:32:32.4141923Z  1742           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4142019Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:32.4142121Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:32.4142269Z                6 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4142373Z                8 COMPARE_OP               2 (==)
2022-11-23T01:32:32.4142482Z               10 POP_JUMP_IF_FALSE       18 (to 36)
2022-11-23T01:32:32.4142487Z 
2022-11-23T01:32:32.4142589Z 1743          12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:32.4142694Z               14 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:32.4142797Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4142891Z               18 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:32.4142994Z               20 LOAD_METHOD              0 (device)
2022-11-23T01:32:32.4143142Z               22 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:32.4143240Z               24 CALL_METHOD              1
2022-11-23T01:32:32.4143339Z               26 LOAD_CONST               3 (6)
2022-11-23T01:32:32.4143436Z               28 LOAD_CONST               4 (0)
2022-11-23T01:32:32.4143625Z               30 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:32.4143718Z               32 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.4143800Z               34 RETURN_VALUE
2022-11-23T01:32:32.4143806Z 
2022-11-23T01:32:32.4143905Z 1745     >>   36 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:32.4144011Z               38 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:32.4144109Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4144211Z               42 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:32.4144314Z               44 LOAD_METHOD              0 (device)
2022-11-23T01:32:32.4144511Z               46 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4144609Z               48 CALL_METHOD              1
2022-11-23T01:32:32.4144708Z               50 LOAD_CONST               3 (6)
2022-11-23T01:32:32.4144805Z               52 LOAD_CONST               4 (0)
2022-11-23T01:32:32.4144988Z               54 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:32.4145118Z               56 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.4145200Z               58 RETURN_VALUE
2022-11-23T01:32:32.4145269Z  
2022-11-23T01:32:32.4145274Z 
2022-11-23T01:32:32.4145588Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1742
2022-11-23T01:32:32.4145804Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.4146056Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:32.4146312Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cuda:0)]
2022-11-23T01:32:32.4146568Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:32.4146857Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:32.4147127Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 36 [ConstantVariable(bool)]
2022-11-23T01:32:32.4147442Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1745
2022-11-23T01:32:32.4147661Z [2022-11-23 01:30:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4147962Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4148224Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4148517Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4148959Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4149307Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>)]
2022-11-23T01:32:32.4149686Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>), ConstantVariable(str)]
2022-11-23T01:32:32.4150010Z [2022-11-23 01:30:26,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device)]
2022-11-23T01:32:32.4150460Z [2022-11-23 01:30:26,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int)]
2022-11-23T01:32:32.4150901Z [2022-11-23 01:30:26,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout') [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4151347Z [2022-11-23 01:30:26,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4151630Z [2022-11-23 01:30:26,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4152006Z [2022-11-23 01:30:26,559] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741>
2022-11-23T01:32:32.4152279Z [2022-11-23 01:30:26,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4152508Z [2022-11-23 01:30:26,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4152765Z [2022-11-23 01:30:26,560] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4153023Z [2022-11-23 01:30:26,563] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4153218Z [2022-11-23 01:30:26,563] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4153362Z  __compiled_fn_780 <eval_with_key>.4800 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4153461Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4153705Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0}
2022-11-23T01:32:32.4153816Z output, output, output, ((_to_copy,),), {}
2022-11-23T01:32:32.4153824Z 
2022-11-23T01:32:32.4154151Z [2022-11-23 01:30:26,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4154246Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4154347Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4154443Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4154547Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4154641Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4154738Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4154821Z              12 RETURN_VALUE
2022-11-23T01:32:32.4154827Z 
2022-11-23T01:32:32.4154890Z  
2022-11-23T01:32:32.4155211Z [2022-11-23 01:30:26,564] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4155332Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_780)
2022-11-23T01:32:32.4155434Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4155534Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4155619Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4155716Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4155815Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4155891Z              12 RETURN_VALUE
2022-11-23T01:32:32.4155896Z 
2022-11-23T01:32:32.4155963Z  
2022-11-23T01:32:32.4156159Z [2022-11-23 01:30:26,564] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4156237Z  - 
2022-11-23T01:32:32.4156363Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4156435Z             {
2022-11-23T01:32:32.4156585Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4156770Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4156897Z                 'obj_weakref': None
2022-11-23T01:32:32.4157128Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4157202Z             }
2022-11-23T01:32:32.4157271Z             
2022-11-23T01:32:32.4157351Z  - 
2022-11-23T01:32:32.4157478Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.4157541Z             {
2022-11-23T01:32:32.4157687Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.4157867Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.4158087Z                 'obj_weakref': <weakref at 0x7f1ffad7af70; to 'Tensor' at 0x7f1fd8c26160>
2022-11-23T01:32:32.4158371Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4158442Z             }
2022-11-23T01:32:32.4158513Z             
2022-11-23T01:32:32.4158584Z  - 
2022-11-23T01:32:32.4158713Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4158783Z             {
2022-11-23T01:32:32.4158933Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4159073Z                 'code': None,
2022-11-23T01:32:32.4159290Z                 'obj_weakref': <weakref at 0x7f1ffad7af70; to 'Tensor' at 0x7f1fd8c26160>
2022-11-23T01:32:32.4159546Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4159609Z             }
2022-11-23T01:32:32.4159680Z             
2022-11-23T01:32:32.4159763Z  - 
2022-11-23T01:32:32.4159902Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4159976Z             {
2022-11-23T01:32:32.4160119Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4160298Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4160415Z                 'obj_weakref': None
2022-11-23T01:32:32.4160647Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4160719Z             }
2022-11-23T01:32:32.4160792Z             
2022-11-23T01:32:32.4160871Z  - 
2022-11-23T01:32:32.4160999Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4161070Z             {
2022-11-23T01:32:32.4161206Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4161426Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4161550Z                 'obj_weakref': None
2022-11-23T01:32:32.4161774Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4161843Z             }
2022-11-23T01:32:32.4161913Z             
2022-11-23T01:32:32.4161993Z  - 
2022-11-23T01:32:32.4162126Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4162197Z             {
2022-11-23T01:32:32.4162324Z                 'guard_types': None,
2022-11-23T01:32:32.4162439Z                 'code': None,
2022-11-23T01:32:32.4162564Z                 'obj_weakref': None
2022-11-23T01:32:32.4162691Z                 'guarded_class': None
2022-11-23T01:32:32.4162768Z             }
2022-11-23T01:32:32.4162830Z             
2022-11-23T01:32:32.4162907Z  - 
2022-11-23T01:32:32.4163045Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4163115Z             {
2022-11-23T01:32:32.4163242Z                 'guard_types': None,
2022-11-23T01:32:32.4163354Z                 'code': None,
2022-11-23T01:32:32.4163471Z                 'obj_weakref': None
2022-11-23T01:32:32.4163598Z                 'guarded_class': None
2022-11-23T01:32:32.4163670Z             }
2022-11-23T01:32:32.4163741Z             
2022-11-23T01:32:32.4164003Z [2022-11-23 01:30:26,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 762
2022-11-23T01:32:32.4164194Z [2022-11-23 01:30:26,569] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:32.4164555Z [2022-11-23 01:30:26,571] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/74/c74vtayhfzhe6mmudcpga5zawsse3ofs5vli53lcw4d7ark7wi6d.py
2022-11-23T01:32:32.4164826Z [2022-11-23 01:30:26,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 762
2022-11-23T01:32:32.4165058Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4165379Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4165602Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4165858Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4166165Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4166489Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4166863Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4167188Z [2022-11-23 01:30:26,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4167567Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741> 
2022-11-23T01:32:32.4167670Z  1742           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4167770Z                2 LOAD_ATTR                0 (device)
2022-11-23T01:32:32.4167872Z                4 LOAD_ATTR                1 (type)
2022-11-23T01:32:32.4168021Z                6 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4168125Z                8 COMPARE_OP               2 (==)
2022-11-23T01:32:32.4168237Z               10 POP_JUMP_IF_FALSE       18 (to 36)
2022-11-23T01:32:32.4168243Z 
2022-11-23T01:32:32.4168343Z 1743          12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:32.4168448Z               14 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:32.4168546Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4168639Z               18 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:32.4168742Z               20 LOAD_METHOD              0 (device)
2022-11-23T01:32:32.4168889Z               22 LOAD_CONST               2 ('cuda')
2022-11-23T01:32:32.4168986Z               24 CALL_METHOD              1
2022-11-23T01:32:32.4169085Z               26 LOAD_CONST               3 (6)
2022-11-23T01:32:32.4169183Z               28 LOAD_CONST               4 (0)
2022-11-23T01:32:32.4169370Z               30 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:32.4169463Z               32 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.4169549Z               34 RETURN_VALUE
2022-11-23T01:32:32.4169554Z 
2022-11-23T01:32:32.4169655Z 1745     >>   36 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:32.4169759Z               38 LOAD_ATTR                3 (_to_copy)
2022-11-23T01:32:32.4169859Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4169962Z               42 LOAD_GLOBAL              4 (torch)
2022-11-23T01:32:32.4170066Z               44 LOAD_METHOD              0 (device)
2022-11-23T01:32:32.4170212Z               46 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:32.4170300Z               48 CALL_METHOD              1
2022-11-23T01:32:32.4170399Z               50 LOAD_CONST               3 (6)
2022-11-23T01:32:32.4170497Z               52 LOAD_CONST               4 (0)
2022-11-23T01:32:32.4170677Z               54 LOAD_CONST               5 (('device', 'dtype', 'layout'))
2022-11-23T01:32:32.4170779Z               56 CALL_FUNCTION_KW         4
2022-11-23T01:32:32.4170864Z               58 RETURN_VALUE
2022-11-23T01:32:32.4170937Z  
2022-11-23T01:32:32.4170942Z 
2022-11-23T01:32:32.4171252Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1742
2022-11-23T01:32:32.4171468Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.4171721Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable()]
2022-11-23T01:32:32.4171974Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR type [TorchVariable(cuda:0)]
2022-11-23T01:32:32.4172256Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [ConstantVariable(str)]
2022-11-23T01:32:32.4172546Z [2022-11-23 01:30:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(str), ConstantVariable(str)]
2022-11-23T01:32:32.4172813Z [2022-11-23 01:30:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 36 [ConstantVariable(bool)]
2022-11-23T01:32:32.4173148Z [2022-11-23 01:30:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1745
2022-11-23T01:32:32.4173368Z [2022-11-23 01:30:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4173682Z [2022-11-23 01:30:26,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4173937Z [2022-11-23 01:30:26,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4174238Z [2022-11-23 01:30:26,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4174680Z [2022-11-23 01:30:26,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4175031Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>)]
2022-11-23T01:32:32.4175410Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten._to_copy), TensorVariable(), TorchVariable(<class 'torch.device'>), ConstantVariable(str)]
2022-11-23T01:32:32.4175734Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device)]
2022-11-23T01:32:32.4176091Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int)]
2022-11-23T01:32:32.4176524Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout') [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4176973Z [2022-11-23 01:30:26,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(device), ConstantVariable(int), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4177224Z [2022-11-23 01:30:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4177603Z [2022-11-23 01:30:26,583] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1741>
2022-11-23T01:32:32.4177851Z [2022-11-23 01:30:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4178088Z [2022-11-23 01:30:26,583] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4178340Z [2022-11-23 01:30:26,584] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4178595Z [2022-11-23 01:30:26,586] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4178976Z [2022-11-23 01:30:26,586] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4179127Z  __compiled_fn_781 <eval_with_key>.4806 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4179225Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4179473Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0}
2022-11-23T01:32:32.4179639Z output, output, output, ((_to_copy,),), {}
2022-11-23T01:32:32.4179645Z 
2022-11-23T01:32:32.4179975Z [2022-11-23 01:30:26,587] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4180099Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4180198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4180294Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4180396Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4180490Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4180587Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4180670Z              12 RETURN_VALUE
2022-11-23T01:32:32.4180676Z 
2022-11-23T01:32:32.4180745Z  
2022-11-23T01:32:32.4181063Z [2022-11-23 01:30:26,587] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4181184Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_781)
2022-11-23T01:32:32.4181282Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4181380Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4181465Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4181563Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4181661Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4181736Z              12 RETURN_VALUE
2022-11-23T01:32:32.4181741Z 
2022-11-23T01:32:32.4181811Z  
2022-11-23T01:32:32.4181999Z [2022-11-23 01:30:26,587] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4182078Z  - 
2022-11-23T01:32:32.4182203Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4182276Z             {
2022-11-23T01:32:32.4182424Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4182607Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4182735Z                 'obj_weakref': None
2022-11-23T01:32:32.4182963Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4183035Z             }
2022-11-23T01:32:32.4183106Z             
2022-11-23T01:32:32.4183186Z  - 
2022-11-23T01:32:32.4183317Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.4183380Z             {
2022-11-23T01:32:32.4183525Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.4183698Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.4183916Z                 'obj_weakref': <weakref at 0x7f1fd8c4ab10; to 'Tensor' at 0x7f2023394fe0>
2022-11-23T01:32:32.4184169Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4184239Z             }
2022-11-23T01:32:32.4184309Z             
2022-11-23T01:32:32.4184379Z  - 
2022-11-23T01:32:32.4184509Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4184581Z             {
2022-11-23T01:32:32.4184731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4184847Z                 'code': None,
2022-11-23T01:32:32.4185059Z                 'obj_weakref': <weakref at 0x7f1fd8c4ab10; to 'Tensor' at 0x7f2023394fe0>
2022-11-23T01:32:32.4185320Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4185390Z             }
2022-11-23T01:32:32.4185452Z             
2022-11-23T01:32:32.4185528Z  - 
2022-11-23T01:32:32.4185668Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4185740Z             {
2022-11-23T01:32:32.4185882Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4186060Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4186177Z                 'obj_weakref': None
2022-11-23T01:32:32.4186443Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4186521Z             }
2022-11-23T01:32:32.4186591Z             
2022-11-23T01:32:32.4186670Z  - 
2022-11-23T01:32:32.4186799Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4186873Z             {
2022-11-23T01:32:32.4187008Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4187253Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4187377Z                 'obj_weakref': None
2022-11-23T01:32:32.4187606Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4187678Z             }
2022-11-23T01:32:32.4187748Z             
2022-11-23T01:32:32.4187825Z  - 
2022-11-23T01:32:32.4187956Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4188028Z             {
2022-11-23T01:32:32.4188154Z                 'guard_types': None,
2022-11-23T01:32:32.4188270Z                 'code': None,
2022-11-23T01:32:32.4188397Z                 'obj_weakref': None
2022-11-23T01:32:32.4188525Z                 'guarded_class': None
2022-11-23T01:32:32.4188595Z             }
2022-11-23T01:32:32.4188657Z             
2022-11-23T01:32:32.4188735Z  - 
2022-11-23T01:32:32.4188872Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4188946Z             {
2022-11-23T01:32:32.4189073Z                 'guard_types': None,
2022-11-23T01:32:32.4189186Z                 'code': None,
2022-11-23T01:32:32.4189311Z                 'obj_weakref': None
2022-11-23T01:32:32.4189431Z                 'guarded_class': None
2022-11-23T01:32:32.4189502Z             }
2022-11-23T01:32:32.4189571Z             
2022-11-23T01:32:32.4189841Z [2022-11-23 01:30:26,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 763
2022-11-23T01:32:32.4190025Z [2022-11-23 01:30:26,592] torch._inductor.ir: [WARNING] DeviceCopy
2022-11-23T01:32:32.4190356Z [2022-11-23 01:30:26,596] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4190740Z [2022-11-23 01:30:26,658] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bq/cbqaool336udhffbtys6r5jmudl22bjyxa7zq44f5usclt2xx3sv.py
2022-11-23T01:32:32.4191010Z [2022-11-23 01:30:26,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 763
2022-11-23T01:32:32.4191020Z 
2022-11-23T01:32:32.4191115Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4191191Z import torch
2022-11-23T01:32:32.4191269Z import random
2022-11-23T01:32:32.4191393Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4191520Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4191526Z 
2022-11-23T01:32:32.4191611Z aten = torch.ops.aten
2022-11-23T01:32:32.4191753Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4191844Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4191859Z 
2022-11-23T01:32:32.4191928Z import triton
2022-11-23T01:32:32.4192027Z import triton.language as tl
2022-11-23T01:32:32.4192159Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4192305Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4192310Z 
2022-11-23T01:32:32.4192315Z 
2022-11-23T01:32:32.4192417Z async_compile.wait(globals())
2022-11-23T01:32:32.4192501Z del async_compile
2022-11-23T01:32:32.4192506Z 
2022-11-23T01:32:32.4192584Z def call(args):
2022-11-23T01:32:32.4192653Z     arg0_1, = args
2022-11-23T01:32:32.4192735Z     args.clear()
2022-11-23T01:32:32.4192949Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.4193032Z     buf0.copy_(arg0_1)
2022-11-23T01:32:32.4193108Z     del arg0_1
2022-11-23T01:32:32.4193186Z     return (buf0, )
2022-11-23T01:32:32.4193191Z 
2022-11-23T01:32:32.4193196Z 
2022-11-23T01:32:32.4193279Z if __name__ == "__main__":
2022-11-23T01:32:32.4193401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4193573Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4193788Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4193909Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4193915Z 
2022-11-23T01:32:32.4193942Z 
2022-11-23T01:32:32.4194045Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4194122Z import torch
2022-11-23T01:32:32.4194199Z import random
2022-11-23T01:32:32.4194324Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4194444Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4194456Z 
2022-11-23T01:32:32.4194533Z aten = torch.ops.aten
2022-11-23T01:32:32.4194676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4194776Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4194781Z 
2022-11-23T01:32:32.4194859Z import triton
2022-11-23T01:32:32.4194956Z import triton.language as tl
2022-11-23T01:32:32.4195089Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4195234Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4195239Z 
2022-11-23T01:32:32.4195244Z 
2022-11-23T01:32:32.4195408Z triton_fused__to_copy0 = async_compile.triton('''
2022-11-23T01:32:32.4195480Z import triton
2022-11-23T01:32:32.4195573Z import triton.language as tl
2022-11-23T01:32:32.4195691Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4195798Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4195936Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4196065Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4196070Z 
2022-11-23T01:32:32.4196447Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4196515Z @triton.jit
2022-11-23T01:32:32.4196656Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4196739Z     xnumel = 40
2022-11-23T01:32:32.4196843Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4196979Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4197069Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4197143Z     x0 = xindex
2022-11-23T01:32:32.4197257Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.4197349Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.4197488Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.4197578Z ''')
2022-11-23T01:32:32.4197583Z 
2022-11-23T01:32:32.4197588Z 
2022-11-23T01:32:32.4197684Z async_compile.wait(globals())
2022-11-23T01:32:32.4197763Z del async_compile
2022-11-23T01:32:32.4197768Z 
2022-11-23T01:32:32.4197846Z def call(args):
2022-11-23T01:32:32.4197922Z     arg0_1, = args
2022-11-23T01:32:32.4197993Z     args.clear()
2022-11-23T01:32:32.4198209Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4198302Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4198451Z     triton_fused__to_copy0.run(arg0_1, buf0, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.4198529Z     del arg0_1
2022-11-23T01:32:32.4198737Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.4198820Z     buf1.copy_(buf0)
2022-11-23T01:32:32.4198891Z     return (buf1, )
2022-11-23T01:32:32.4198896Z 
2022-11-23T01:32:32.4198908Z 
2022-11-23T01:32:32.4198983Z if __name__ == "__main__":
2022-11-23T01:32:32.4199104Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4199236Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4199446Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4199561Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4199566Z 
2022-11-23T01:32:32.4199671Z ok (0.112s)
2022-11-23T01:32:32.4199982Z   test_to_dtype_cuda (__main__.CudaTests) ... [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4200301Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4200540Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4200799Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4201081Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4201402Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4201749Z [2022-11-23 01:30:26,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4202071Z [2022-11-23 01:30:26,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4202448Z [2022-11-23 01:30:26,663] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723> 
2022-11-23T01:32:32.4202552Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4202658Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:32.4202751Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4202850Z                6 LOAD_CONST               1 (6)
2022-11-23T01:32:32.4203006Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.4203112Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4203118Z 
2022-11-23T01:32:32.4203220Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4203326Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:32.4203427Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4203528Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4203602Z               20 BINARY_ADD
2022-11-23T01:32:32.4203701Z               22 LOAD_CONST               1 (6)
2022-11-23T01:32:32.4203857Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.4203960Z               26 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4203965Z 
2022-11-23T01:32:32.4204066Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4204167Z               30 LOAD_METHOD              2 (to)
2022-11-23T01:32:32.4204264Z               32 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4204358Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:32.4204465Z               36 LOAD_ATTR                4 (float64)
2022-11-23T01:32:32.4204561Z               38 CALL_METHOD              2
2022-11-23T01:32:32.4204566Z 
2022-11-23T01:32:32.4204667Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4204765Z               42 LOAD_METHOD              2 (to)
2022-11-23T01:32:32.4204864Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4204965Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:32.4205062Z               48 LOAD_ATTR                5 (bool)
2022-11-23T01:32:32.4205149Z               50 CALL_METHOD              2
2022-11-23T01:32:32.4205154Z 
2022-11-23T01:32:32.4205254Z 1724          52 BUILD_TUPLE              4
2022-11-23T01:32:32.4205337Z               54 RETURN_VALUE
2022-11-23T01:32:32.4205406Z  
2022-11-23T01:32:32.4205411Z 
2022-11-23T01:32:32.4205760Z [2022-11-23 01:30:26,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725
2022-11-23T01:32:32.4205983Z [2022-11-23 01:30:26,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4206292Z [2022-11-23 01:30:26,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4206578Z [2022-11-23 01:30:26,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4206864Z [2022-11-23 01:30:26,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4207185Z [2022-11-23 01:30:26,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4207551Z [2022-11-23 01:30:26,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4207866Z [2022-11-23 01:30:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726
2022-11-23T01:32:32.4208116Z [2022-11-23 01:30:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.4208452Z [2022-11-23 01:30:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4208737Z [2022-11-23 01:30:26,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4209044Z [2022-11-23 01:30:26,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4209396Z [2022-11-23 01:30:26,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4209699Z [2022-11-23 01:30:26,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4210055Z [2022-11-23 01:30:26,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4210450Z [2022-11-23 01:30:26,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4210755Z [2022-11-23 01:30:26,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727
2022-11-23T01:32:32.4211019Z [2022-11-23 01:30:26,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4211371Z [2022-11-23 01:30:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4211673Z [2022-11-23 01:30:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:32.4212015Z [2022-11-23 01:30:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:32.4212498Z [2022-11-23 01:30:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4212914Z [2022-11-23 01:30:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.4213225Z [2022-11-23 01:30:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728
2022-11-23T01:32:32.4213527Z [2022-11-23 01:30:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4213930Z [2022-11-23 01:30:26,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4214261Z [2022-11-23 01:30:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:32.4214621Z [2022-11-23 01:30:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:32.4215126Z [2022-11-23 01:30:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4215536Z [2022-11-23 01:30:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.4215856Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724
2022-11-23T01:32:32.4216179Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4216435Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4216823Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723>
2022-11-23T01:32:32.4217076Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4217317Z [2022-11-23 01:30:26,691] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4217578Z [2022-11-23 01:30:26,693] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4217835Z [2022-11-23 01:30:26,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4218035Z [2022-11-23 01:30:26,697] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4218185Z  __compiled_fn_782 <eval_with_key>.4812 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4218274Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4218369Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.4218553Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T01:32:32.4218732Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:32.4219116Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T01:32:32.4219247Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T01:32:32.4219369Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T01:32:32.4219503Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T01:32:32.4219509Z 
2022-11-23T01:32:32.4219829Z [2022-11-23 01:30:26,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4219932Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4220073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4220170Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4220273Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4220367Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4220494Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4220571Z              12 RETURN_VALUE
2022-11-23T01:32:32.4220583Z 
2022-11-23T01:32:32.4220644Z  
2022-11-23T01:32:32.4220970Z [2022-11-23 01:30:26,698] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4221090Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_782)
2022-11-23T01:32:32.4221189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4221289Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4221374Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4221470Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4221561Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4221644Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.4221739Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.4221854Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4221968Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4222067Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4222150Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4222253Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4222349Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4222432Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4222539Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4222636Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4222719Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4222835Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4222931Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4223006Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4223101Z              42 BUILD_TUPLE              4
2022-11-23T01:32:32.4223185Z              44 RETURN_VALUE
2022-11-23T01:32:32.4223193Z 
2022-11-23T01:32:32.4223261Z  
2022-11-23T01:32:32.4223451Z [2022-11-23 01:30:26,699] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4223530Z  - 
2022-11-23T01:32:32.4223657Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4223721Z             {
2022-11-23T01:32:32.4223868Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4224060Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.4224187Z                 'obj_weakref': None
2022-11-23T01:32:32.4224415Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4224486Z             }
2022-11-23T01:32:32.4224557Z             
2022-11-23T01:32:32.4224628Z  - 
2022-11-23T01:32:32.4224759Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4224830Z             {
2022-11-23T01:32:32.4224980Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4225098Z                 'code': None,
2022-11-23T01:32:32.4225316Z                 'obj_weakref': <weakref at 0x7f1ffad38680; to 'Tensor' at 0x7f1feadab0b0>
2022-11-23T01:32:32.4225568Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4225632Z             }
2022-11-23T01:32:32.4225701Z             
2022-11-23T01:32:32.4225778Z  - 
2022-11-23T01:32:32.4225908Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.4225977Z             {
2022-11-23T01:32:32.4226126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4226239Z                 'code': None,
2022-11-23T01:32:32.4226475Z                 'obj_weakref': <weakref at 0x7f1ffad3b5b0; to 'Tensor' at 0x7f2023394fe0>
2022-11-23T01:32:32.4226728Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4226798Z             }
2022-11-23T01:32:32.4226868Z             
2022-11-23T01:32:32.4226972Z  - 
2022-11-23T01:32:32.4227109Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4227181Z             {
2022-11-23T01:32:32.4227314Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4227490Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4227618Z                 'obj_weakref': None
2022-11-23T01:32:32.4227854Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4227925Z             }
2022-11-23T01:32:32.4227995Z             
2022-11-23T01:32:32.4228073Z  - 
2022-11-23T01:32:32.4228192Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4228263Z             {
2022-11-23T01:32:32.4228407Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4228628Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4228753Z                 'obj_weakref': None
2022-11-23T01:32:32.4228982Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4229052Z             }
2022-11-23T01:32:32.4229114Z             
2022-11-23T01:32:32.4229191Z  - 
2022-11-23T01:32:32.4229328Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4229398Z             {
2022-11-23T01:32:32.4229524Z                 'guard_types': None,
2022-11-23T01:32:32.4229639Z                 'code': None,
2022-11-23T01:32:32.4229754Z                 'obj_weakref': None
2022-11-23T01:32:32.4229882Z                 'guarded_class': None
2022-11-23T01:32:32.4229952Z             }
2022-11-23T01:32:32.4230025Z             
2022-11-23T01:32:32.4230105Z  - 
2022-11-23T01:32:32.4230308Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4230393Z             {
2022-11-23T01:32:32.4230530Z                 'guard_types': None,
2022-11-23T01:32:32.4230656Z                 'code': None,
2022-11-23T01:32:32.4230784Z                 'obj_weakref': None
2022-11-23T01:32:32.4230914Z                 'guarded_class': None
2022-11-23T01:32:32.4230988Z             }
2022-11-23T01:32:32.4231059Z             
2022-11-23T01:32:32.4231137Z  - 
2022-11-23T01:32:32.4231278Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:32.4231349Z             {
2022-11-23T01:32:32.4231497Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4231667Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:32.4231790Z                 'obj_weakref': None
2022-11-23T01:32:32.4232019Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.4232091Z             }
2022-11-23T01:32:32.4232153Z             
2022-11-23T01:32:32.4232234Z  - 
2022-11-23T01:32:32.4232391Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T01:32:32.4232461Z             {
2022-11-23T01:32:32.4232608Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4232789Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T01:32:32.4232916Z                 'obj_weakref': None
2022-11-23T01:32:32.4233132Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.4233203Z             }
2022-11-23T01:32:32.4233271Z             
2022-11-23T01:32:32.4233535Z [2022-11-23 01:30:26,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 764
2022-11-23T01:32:32.4233836Z [2022-11-23 01:30:26,714] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.4234248Z [2022-11-23 01:30:26,778] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xf/cxfi7adyqdwc6g3ixbez6cpplwpsqurzxcj6265kkfdafr3vtg52.py
2022-11-23T01:32:32.4234524Z [2022-11-23 01:30:26,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 764
2022-11-23T01:32:32.4234770Z [2022-11-23 01:30:26,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4235105Z [2022-11-23 01:30:26,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4235334Z [2022-11-23 01:30:26,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4235595Z [2022-11-23 01:30:26,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4235878Z [2022-11-23 01:30:26,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4236206Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4236556Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4236887Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4237268Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723> 
2022-11-23T01:32:32.4237375Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4237482Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:32.4237575Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4237674Z                6 LOAD_CONST               1 (6)
2022-11-23T01:32:32.4237834Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.4237936Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4237941Z 
2022-11-23T01:32:32.4238043Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4238149Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:32.4238247Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4238349Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4238422Z               20 BINARY_ADD
2022-11-23T01:32:32.4238520Z               22 LOAD_CONST               1 (6)
2022-11-23T01:32:32.4238679Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:32.4238779Z               26 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.4238784Z 
2022-11-23T01:32:32.4238884Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4238984Z               30 LOAD_METHOD              2 (to)
2022-11-23T01:32:32.4239083Z               32 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4239178Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:32.4239280Z               36 LOAD_ATTR                4 (float64)
2022-11-23T01:32:32.4239375Z               38 CALL_METHOD              2
2022-11-23T01:32:32.4239382Z 
2022-11-23T01:32:32.4239482Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4239581Z               42 LOAD_METHOD              2 (to)
2022-11-23T01:32:32.4239684Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4239788Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:32.4239888Z               48 LOAD_ATTR                5 (bool)
2022-11-23T01:32:32.4239975Z               50 CALL_METHOD              2
2022-11-23T01:32:32.4239980Z 
2022-11-23T01:32:32.4240075Z 1724          52 BUILD_TUPLE              4
2022-11-23T01:32:32.4240160Z               54 RETURN_VALUE
2022-11-23T01:32:32.4240228Z  
2022-11-23T01:32:32.4240233Z 
2022-11-23T01:32:32.4240602Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725
2022-11-23T01:32:32.4240825Z [2022-11-23 01:30:26,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4241156Z [2022-11-23 01:30:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4241415Z [2022-11-23 01:30:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4241692Z [2022-11-23 01:30:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4242026Z [2022-11-23 01:30:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4242396Z [2022-11-23 01:30:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4242711Z [2022-11-23 01:30:26,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726
2022-11-23T01:32:32.4242963Z [2022-11-23 01:30:26,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.4243298Z [2022-11-23 01:30:26,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4243583Z [2022-11-23 01:30:26,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T01:32:32.4243890Z [2022-11-23 01:30:26,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4244246Z [2022-11-23 01:30:26,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4244549Z [2022-11-23 01:30:26,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:32.4244907Z [2022-11-23 01:30:26,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4245299Z [2022-11-23 01:30:26,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:32.4245598Z [2022-11-23 01:30:26,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727
2022-11-23T01:32:32.4245875Z [2022-11-23 01:30:26,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4246224Z [2022-11-23 01:30:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4246526Z [2022-11-23 01:30:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:32.4246862Z [2022-11-23 01:30:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:32.4247346Z [2022-11-23 01:30:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4247742Z [2022-11-23 01:30:26,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.4248052Z [2022-11-23 01:30:26,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728
2022-11-23T01:32:32.4248382Z [2022-11-23 01:30:26,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4248767Z [2022-11-23 01:30:26,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4249100Z [2022-11-23 01:30:26,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:32.4249468Z [2022-11-23 01:30:26,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:32.4249984Z [2022-11-23 01:30:26,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4250394Z [2022-11-23 01:30:26,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:32.4250706Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724
2022-11-23T01:32:32.4251036Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4251290Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4251672Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723>
2022-11-23T01:32:32.4251930Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4252171Z [2022-11-23 01:30:26,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4252432Z [2022-11-23 01:30:26,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4252690Z [2022-11-23 01:30:26,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4252887Z [2022-11-23 01:30:26,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4253033Z  __compiled_fn_783 <eval_with_key>.4818 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4253122Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4253217Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.4253405Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T01:32:32.4253585Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:32.4253766Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T01:32:32.4253892Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T01:32:32.4254014Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T01:32:32.4254137Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T01:32:32.4254150Z 
2022-11-23T01:32:32.4254495Z [2022-11-23 01:30:26,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4254600Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4254699Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4254795Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4254896Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4255012Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4255110Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4255186Z              12 RETURN_VALUE
2022-11-23T01:32:32.4255192Z 
2022-11-23T01:32:32.4255261Z  
2022-11-23T01:32:32.4255583Z [2022-11-23 01:30:26,818] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4255707Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_783)
2022-11-23T01:32:32.4255807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4255906Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4255992Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4256090Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4256179Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4256264Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.4256365Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.4256478Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4256590Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4256688Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4256772Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4256876Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4256977Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4257059Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4257172Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4257274Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4257357Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4257469Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4257558Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4257642Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4257741Z              42 BUILD_TUPLE              4
2022-11-23T01:32:32.4257826Z              44 RETURN_VALUE
2022-11-23T01:32:32.4257831Z 
2022-11-23T01:32:32.4257899Z  
2022-11-23T01:32:32.4258090Z [2022-11-23 01:30:26,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4258168Z  - 
2022-11-23T01:32:32.4258288Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4258360Z             {
2022-11-23T01:32:32.4258507Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4258702Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.4259014Z                 'obj_weakref': None
2022-11-23T01:32:32.4259250Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4259322Z             }
2022-11-23T01:32:32.4259385Z             
2022-11-23T01:32:32.4259463Z  - 
2022-11-23T01:32:32.4259600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4259673Z             {
2022-11-23T01:32:32.4259822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4259936Z                 'code': None,
2022-11-23T01:32:32.4260150Z                 'obj_weakref': <weakref at 0x7f1ffad43f60; to 'Tensor' at 0x7f2023102520>
2022-11-23T01:32:32.4260395Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4260467Z             }
2022-11-23T01:32:32.4260537Z             
2022-11-23T01:32:32.4260615Z  - 
2022-11-23T01:32:32.4260745Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.4260815Z             {
2022-11-23T01:32:32.4260963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4261116Z                 'code': None,
2022-11-23T01:32:32.4261335Z                 'obj_weakref': <weakref at 0x7f1ffad3b5b0; to 'Tensor' at 0x7f2023394fe0>
2022-11-23T01:32:32.4261588Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4261691Z             }
2022-11-23T01:32:32.4261763Z             
2022-11-23T01:32:32.4261843Z  - 
2022-11-23T01:32:32.4261980Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4262043Z             {
2022-11-23T01:32:32.4262185Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4262361Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4262485Z                 'obj_weakref': None
2022-11-23T01:32:32.4262721Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4262792Z             }
2022-11-23T01:32:32.4262860Z             
2022-11-23T01:32:32.4262931Z  - 
2022-11-23T01:32:32.4263064Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4263135Z             {
2022-11-23T01:32:32.4263278Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4263501Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4263630Z                 'obj_weakref': None
2022-11-23T01:32:32.4263854Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4263925Z             }
2022-11-23T01:32:32.4263988Z             
2022-11-23T01:32:32.4264065Z  - 
2022-11-23T01:32:32.4264203Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4264273Z             {
2022-11-23T01:32:32.4264406Z                 'guard_types': None,
2022-11-23T01:32:32.4264520Z                 'code': None,
2022-11-23T01:32:32.4264638Z                 'obj_weakref': None
2022-11-23T01:32:32.4264767Z                 'guarded_class': None
2022-11-23T01:32:32.4264842Z             }
2022-11-23T01:32:32.4264912Z             
2022-11-23T01:32:32.4264990Z  - 
2022-11-23T01:32:32.4265129Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4265201Z             {
2022-11-23T01:32:32.4265320Z                 'guard_types': None,
2022-11-23T01:32:32.4265439Z                 'code': None,
2022-11-23T01:32:32.4265562Z                 'obj_weakref': None
2022-11-23T01:32:32.4265689Z                 'guarded_class': None
2022-11-23T01:32:32.4265759Z             }
2022-11-23T01:32:32.4265831Z             
2022-11-23T01:32:32.4265901Z  - 
2022-11-23T01:32:32.4266053Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:32.4266122Z             {
2022-11-23T01:32:32.4266274Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4266443Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:32.4266566Z                 'obj_weakref': None
2022-11-23T01:32:32.4266796Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.4266866Z             }
2022-11-23T01:32:32.4266929Z             
2022-11-23T01:32:32.4267008Z  - 
2022-11-23T01:32:32.4267166Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T01:32:32.4267237Z             {
2022-11-23T01:32:32.4267389Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4267571Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T01:32:32.4267687Z                 'obj_weakref': None
2022-11-23T01:32:32.4267915Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.4267986Z             }
2022-11-23T01:32:32.4268056Z             
2022-11-23T01:32:32.4268319Z [2022-11-23 01:30:26,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 765
2022-11-23T01:32:32.4268570Z [2022-11-23 01:30:26,835] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4268895Z [2022-11-23 01:30:26,836] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4269257Z [2022-11-23 01:30:26,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/52/c52bzbr5xr6apudxobdn7jpiak6m6szoq2p63wqtgcn4hqqfgr4d.py
2022-11-23T01:32:32.4269549Z [2022-11-23 01:30:26,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 765
2022-11-23T01:32:32.4269556Z 
2022-11-23T01:32:32.4269650Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4269727Z import torch
2022-11-23T01:32:32.4269804Z import random
2022-11-23T01:32:32.4269930Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4270065Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4270070Z 
2022-11-23T01:32:32.4270154Z aten = torch.ops.aten
2022-11-23T01:32:32.4270364Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4270464Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4270478Z 
2022-11-23T01:32:32.4270547Z import triton
2022-11-23T01:32:32.4270643Z import triton.language as tl
2022-11-23T01:32:32.4270775Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4270920Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4270928Z 
2022-11-23T01:32:32.4270932Z 
2022-11-23T01:32:32.4271128Z triton_fused__to_copy_1_add__to_copy_20 = async_compile.triton('''
2022-11-23T01:32:32.4271205Z import triton
2022-11-23T01:32:32.4271302Z import triton.language as tl
2022-11-23T01:32:32.4271413Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4271519Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4271662Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4271792Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4271798Z 
2022-11-23T01:32:32.4272188Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.4272266Z @triton.jit
2022-11-23T01:32:32.4272413Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4272494Z     xnumel = 40
2022-11-23T01:32:32.4272587Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4272723Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4272811Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4272885Z     x0 = xindex
2022-11-23T01:32:32.4272988Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4273063Z     tmp1 = 1
2022-11-23T01:32:32.4273145Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4273229Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:32.4273309Z     tmp4 = (tmp0 != 0)
2022-11-23T01:32:32.4273449Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4273592Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4273681Z ''')
2022-11-23T01:32:32.4273686Z 
2022-11-23T01:32:32.4273691Z 
2022-11-23T01:32:32.4273787Z async_compile.wait(globals())
2022-11-23T01:32:32.4273868Z del async_compile
2022-11-23T01:32:32.4273876Z 
2022-11-23T01:32:32.4273954Z def call(args):
2022-11-23T01:32:32.4274028Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4274106Z     args.clear()
2022-11-23T01:32:32.4274317Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4274524Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4274617Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4274788Z     triton_fused__to_copy_1_add__to_copy_20.run(arg1_1, buf0, buf1, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.4274886Z     return (arg0_1, buf0, arg1_1, buf1, )
2022-11-23T01:32:32.4274892Z 
2022-11-23T01:32:32.4274896Z 
2022-11-23T01:32:32.4275012Z if __name__ == "__main__":
2022-11-23T01:32:32.4275128Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4275260Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4275472Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4275705Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.4275831Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4275837Z 
2022-11-23T01:32:32.4275841Z 
2022-11-23T01:32:32.4275941Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4276019Z import torch
2022-11-23T01:32:32.4276096Z import random
2022-11-23T01:32:32.4276211Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4276339Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4276344Z 
2022-11-23T01:32:32.4276432Z aten = torch.ops.aten
2022-11-23T01:32:32.4276578Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4276678Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4276684Z 
2022-11-23T01:32:32.4276760Z import triton
2022-11-23T01:32:32.4276856Z import triton.language as tl
2022-11-23T01:32:32.4276978Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4277123Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4277128Z 
2022-11-23T01:32:32.4277133Z 
2022-11-23T01:32:32.4277298Z triton_fused__to_copy0 = async_compile.triton('''
2022-11-23T01:32:32.4277376Z import triton
2022-11-23T01:32:32.4277471Z import triton.language as tl
2022-11-23T01:32:32.4277588Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4277694Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4277832Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4277954Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4277959Z 
2022-11-23T01:32:32.4278334Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.4278410Z @triton.jit
2022-11-23T01:32:32.4278548Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4278628Z     xnumel = 40
2022-11-23T01:32:32.4278730Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4278864Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4278950Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4279017Z     x0 = xindex
2022-11-23T01:32:32.4279146Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.4279237Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.4279373Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.4279463Z ''')
2022-11-23T01:32:32.4279468Z 
2022-11-23T01:32:32.4279473Z 
2022-11-23T01:32:32.4279668Z triton_fused__to_copy_2_add__to_copy_11 = async_compile.triton('''
2022-11-23T01:32:32.4279745Z import triton
2022-11-23T01:32:32.4279832Z import triton.language as tl
2022-11-23T01:32:32.4279949Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4280054Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4280193Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4280322Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4280327Z 
2022-11-23T01:32:32.4280707Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.4280783Z @triton.jit
2022-11-23T01:32:32.4280930Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4280999Z     xnumel = 40
2022-11-23T01:32:32.4281099Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4281267Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4281356Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4281429Z     x0 = xindex
2022-11-23T01:32:32.4281528Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4281602Z     tmp1 = 1
2022-11-23T01:32:32.4281697Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4281788Z     tmp3 = tmp2.to(tl.float32)
2022-11-23T01:32:32.4281868Z     tmp4 = (tmp0 != 0)
2022-11-23T01:32:32.4282009Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4282146Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4282234Z ''')
2022-11-23T01:32:32.4282239Z 
2022-11-23T01:32:32.4282244Z 
2022-11-23T01:32:32.4282340Z async_compile.wait(globals())
2022-11-23T01:32:32.4282420Z del async_compile
2022-11-23T01:32:32.4282426Z 
2022-11-23T01:32:32.4282496Z def call(args):
2022-11-23T01:32:32.4282577Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4282657Z     args.clear()
2022-11-23T01:32:32.4282872Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4282967Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4283115Z     triton_fused__to_copy0.run(arg0_1, buf0, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.4283192Z     del arg0_1
2022-11-23T01:32:32.4283392Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4283599Z     buf2 = empty_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4283768Z     triton_fused__to_copy_2_add__to_copy_11.run(arg1_1, buf1, buf2, 40, grid=grid(40), stream=stream0)
2022-11-23T01:32:32.4283865Z     return (buf0, buf1, arg1_1, buf2, )
2022-11-23T01:32:32.4283870Z 
2022-11-23T01:32:32.4283875Z 
2022-11-23T01:32:32.4283958Z if __name__ == "__main__":
2022-11-23T01:32:32.4284080Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4284214Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4284428Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4284629Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:32.4284753Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4284761Z 
2022-11-23T01:32:32.4284836Z ok (0.186s)
2022-11-23T01:32:32.4285141Z   test_topk_cuda (__main__.CudaTests) ... [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4285459Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4285681Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4285937Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4286217Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4286535Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4286883Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4287197Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4287571Z [2022-11-23 01:30:26,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099> 
2022-11-23T01:32:32.4287678Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4287819Z                2 LOAD_METHOD              1 (topk)
2022-11-23T01:32:32.4287921Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4288020Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:32.4288164Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.4288306Z               10 CALL_METHOD              3
2022-11-23T01:32:32.4288383Z               12 RETURN_VALUE
2022-11-23T01:32:32.4288451Z  
2022-11-23T01:32:32.4288456Z 
2022-11-23T01:32:32.4288772Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100
2022-11-23T01:32:32.4288996Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4289358Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4289681Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4290025Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4290409Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4290827Z [2022-11-23 01:30:26,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4291086Z [2022-11-23 01:30:26,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.4291463Z [2022-11-23 01:30:26,850] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099>
2022-11-23T01:32:32.4291715Z [2022-11-23 01:30:26,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.4291959Z [2022-11-23 01:30:26,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4292217Z [2022-11-23 01:30:26,851] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4292470Z [2022-11-23 01:30:26,854] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4292665Z [2022-11-23 01:30:26,854] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4292811Z  __compiled_fn_784 <eval_with_key>.4824 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4292909Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4293150Z call_function, topk, <built-in method topk of type object at 0x7f209c394c60>, (ex_0_, 2, -1), {}
2022-11-23T01:32:32.4293335Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T01:32:32.4293531Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T01:32:32.4293655Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:32.4293660Z 
2022-11-23T01:32:32.4293985Z [2022-11-23 01:30:26,854] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4294088Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4294188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4294283Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4294387Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4294474Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4294600Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4294690Z              12 RETURN_VALUE
2022-11-23T01:32:32.4294695Z 
2022-11-23T01:32:32.4294764Z  
2022-11-23T01:32:32.4295083Z [2022-11-23 01:30:26,854] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4295223Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_784)
2022-11-23T01:32:32.4295321Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4295420Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4295497Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4295591Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4295704Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4295900Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T01:32:32.4296014Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4296115Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4296199Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.4296302Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4296399Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4296485Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.4296581Z              26 BUILD_TUPLE              2
2022-11-23T01:32:32.4296679Z              28 CALL_FUNCTION            1
2022-11-23T01:32:32.4296768Z              30 RETURN_VALUE
2022-11-23T01:32:32.4296773Z 
2022-11-23T01:32:32.4296840Z  
2022-11-23T01:32:32.4297029Z [2022-11-23 01:30:26,855] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4297099Z  - 
2022-11-23T01:32:32.4297225Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4297298Z             {
2022-11-23T01:32:32.4297445Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4297640Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4297767Z                 'obj_weakref': None
2022-11-23T01:32:32.4297997Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4298061Z             }
2022-11-23T01:32:32.4298135Z             
2022-11-23T01:32:32.4298213Z  - 
2022-11-23T01:32:32.4298345Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4298415Z             {
2022-11-23T01:32:32.4298565Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4298670Z                 'code': None,
2022-11-23T01:32:32.4299001Z                 'obj_weakref': <weakref at 0x7f2151f18680; to 'Tensor' at 0x7f2023394fe0>
2022-11-23T01:32:32.4299257Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4299328Z             }
2022-11-23T01:32:32.4299398Z             
2022-11-23T01:32:32.4299475Z  - 
2022-11-23T01:32:32.4299612Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4299678Z             {
2022-11-23T01:32:32.4299820Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4299997Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4300123Z                 'obj_weakref': None
2022-11-23T01:32:32.4300358Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4300433Z             }
2022-11-23T01:32:32.4300502Z             
2022-11-23T01:32:32.4300572Z  - 
2022-11-23T01:32:32.4300700Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4300770Z             {
2022-11-23T01:32:32.4300910Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4301131Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4301255Z                 'obj_weakref': None
2022-11-23T01:32:32.4301530Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4301601Z             }
2022-11-23T01:32:32.4301664Z             
2022-11-23T01:32:32.4301741Z  - 
2022-11-23T01:32:32.4301880Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4301951Z             {
2022-11-23T01:32:32.4302078Z                 'guard_types': None,
2022-11-23T01:32:32.4302218Z                 'code': None,
2022-11-23T01:32:32.4302335Z                 'obj_weakref': None
2022-11-23T01:32:32.4302462Z                 'guarded_class': None
2022-11-23T01:32:32.4302532Z             }
2022-11-23T01:32:32.4302604Z             
2022-11-23T01:32:32.4302916Z [2022-11-23 01:30:26,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 766
2022-11-23T01:32:32.4303137Z [2022-11-23 01:30:26,860] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T01:32:32.4303502Z [2022-11-23 01:30:26,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ou/cou42ssaspv44zct2hennceuwuq6rfwp3a77cicym5o7l7bqjvx2.py
2022-11-23T01:32:32.4303772Z [2022-11-23 01:30:26,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 766
2022-11-23T01:32:32.4304005Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4304325Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4304548Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4304801Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4305079Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4305400Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4305743Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4306064Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4306439Z [2022-11-23 01:30:26,865] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099> 
2022-11-23T01:32:32.4306544Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4306640Z                2 LOAD_METHOD              1 (topk)
2022-11-23T01:32:32.4306740Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4306838Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:32.4306983Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.4307082Z               10 CALL_METHOD              3
2022-11-23T01:32:32.4307165Z               12 RETURN_VALUE
2022-11-23T01:32:32.4307234Z  
2022-11-23T01:32:32.4307239Z 
2022-11-23T01:32:32.4307555Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100
2022-11-23T01:32:32.4307775Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4308139Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4308456Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4308825Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4309213Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4309650Z [2022-11-23 01:30:26,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4309909Z [2022-11-23 01:30:26,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.4310351Z [2022-11-23 01:30:26,867] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099>
2022-11-23T01:32:32.4310648Z [2022-11-23 01:30:26,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:32.4310926Z [2022-11-23 01:30:26,867] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4311184Z [2022-11-23 01:30:26,868] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4311431Z [2022-11-23 01:30:26,870] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4311625Z [2022-11-23 01:30:26,871] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4311769Z  __compiled_fn_785 <eval_with_key>.4830 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4311865Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4312105Z call_function, topk, <built-in method topk of type object at 0x7f209c394c60>, (ex_0_, 2, -1), {}
2022-11-23T01:32:32.4312297Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T01:32:32.4312493Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T01:32:32.4312614Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:32.4312620Z 
2022-11-23T01:32:32.4312972Z [2022-11-23 01:30:26,871] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4313091Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4313189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4313286Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4313387Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4313481Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4313579Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4313662Z              12 RETURN_VALUE
2022-11-23T01:32:32.4313667Z 
2022-11-23T01:32:32.4313728Z  
2022-11-23T01:32:32.4314050Z [2022-11-23 01:30:26,871] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4314170Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_785)
2022-11-23T01:32:32.4314270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4314366Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4314453Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4314548Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4314662Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4314850Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T01:32:32.4314963Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4315060Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4315146Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.4315257Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4315387Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4315473Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.4315561Z              26 BUILD_TUPLE              2
2022-11-23T01:32:32.4315657Z              28 CALL_FUNCTION            1
2022-11-23T01:32:32.4315742Z              30 RETURN_VALUE
2022-11-23T01:32:32.4315792Z 
2022-11-23T01:32:32.4315861Z  
2022-11-23T01:32:32.4316052Z [2022-11-23 01:30:26,872] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4316131Z  - 
2022-11-23T01:32:32.4316258Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4316322Z             {
2022-11-23T01:32:32.4316469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4316662Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4316788Z                 'obj_weakref': None
2022-11-23T01:32:32.4317017Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4317088Z             }
2022-11-23T01:32:32.4317160Z             
2022-11-23T01:32:32.4317231Z  - 
2022-11-23T01:32:32.4317360Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4317430Z             {
2022-11-23T01:32:32.4317581Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4317695Z                 'code': None,
2022-11-23T01:32:32.4317917Z                 'obj_weakref': <weakref at 0x7f201e2898a0; to 'Tensor' at 0x7f1fd81a1d00>
2022-11-23T01:32:32.4318168Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4318231Z             }
2022-11-23T01:32:32.4318302Z             
2022-11-23T01:32:32.4318380Z  - 
2022-11-23T01:32:32.4318516Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4318586Z             {
2022-11-23T01:32:32.4318727Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4318902Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4319022Z                 'obj_weakref': None
2022-11-23T01:32:32.4319256Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4319326Z             }
2022-11-23T01:32:32.4319396Z             
2022-11-23T01:32:32.4319473Z  - 
2022-11-23T01:32:32.4319602Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4319676Z             {
2022-11-23T01:32:32.4319812Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4320029Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4320154Z                 'obj_weakref': None
2022-11-23T01:32:32.4320378Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4320447Z             }
2022-11-23T01:32:32.4320517Z             
2022-11-23T01:32:32.4320594Z  - 
2022-11-23T01:32:32.4320726Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4320796Z             {
2022-11-23T01:32:32.4320924Z                 'guard_types': None,
2022-11-23T01:32:32.4321037Z                 'code': None,
2022-11-23T01:32:32.4321159Z                 'obj_weakref': None
2022-11-23T01:32:32.4321285Z                 'guarded_class': None
2022-11-23T01:32:32.4321359Z             }
2022-11-23T01:32:32.4321424Z             
2022-11-23T01:32:32.4321686Z [2022-11-23 01:30:26,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 767
2022-11-23T01:32:32.4321907Z [2022-11-23 01:30:26,877] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T01:32:32.4322267Z [2022-11-23 01:30:26,879] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6s/c6sj4q27a3ra3mhgue7takxgarghj7iw5uq6tkve2fnbs6n7vnpw.py
2022-11-23T01:32:32.4322535Z [2022-11-23 01:30:26,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 767
2022-11-23T01:32:32.4322542Z 
2022-11-23T01:32:32.4322643Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4322719Z import torch
2022-11-23T01:32:32.4322831Z import random
2022-11-23T01:32:32.4322950Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4323080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4323085Z 
2022-11-23T01:32:32.4323171Z aten = torch.ops.aten
2022-11-23T01:32:32.4323333Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4323433Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4323438Z 
2022-11-23T01:32:32.4323516Z import triton
2022-11-23T01:32:32.4323611Z import triton.language as tl
2022-11-23T01:32:32.4323733Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4323878Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4323884Z 
2022-11-23T01:32:32.4323888Z 
2022-11-23T01:32:32.4323985Z async_compile.wait(globals())
2022-11-23T01:32:32.4324066Z del async_compile
2022-11-23T01:32:32.4324071Z 
2022-11-23T01:32:32.4324148Z def call(args):
2022-11-23T01:32:32.4324226Z     arg0_1, = args
2022-11-23T01:32:32.4324304Z     args.clear()
2022-11-23T01:32:32.4324400Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T01:32:32.4324467Z     del arg0_1
2022-11-23T01:32:32.4324543Z     buf1 = buf0[0]
2022-11-23T01:32:32.4324659Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:32.4324737Z     buf2 = buf0[1]
2022-11-23T01:32:32.4324850Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:32.4324922Z     del buf0
2022-11-23T01:32:32.4325005Z     return (buf1, buf2, )
2022-11-23T01:32:32.4325010Z 
2022-11-23T01:32:32.4325014Z 
2022-11-23T01:32:32.4325090Z if __name__ == "__main__":
2022-11-23T01:32:32.4325212Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4325347Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4325567Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4325683Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4325691Z 
2022-11-23T01:32:32.4325695Z 
2022-11-23T01:32:32.4325796Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4325872Z import torch
2022-11-23T01:32:32.4325950Z import random
2022-11-23T01:32:32.4326065Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4326196Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4326201Z 
2022-11-23T01:32:32.4326286Z aten = torch.ops.aten
2022-11-23T01:32:32.4326428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4326528Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4326533Z 
2022-11-23T01:32:32.4326609Z import triton
2022-11-23T01:32:32.4326708Z import triton.language as tl
2022-11-23T01:32:32.4326837Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4326974Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4326979Z 
2022-11-23T01:32:32.4326984Z 
2022-11-23T01:32:32.4327079Z async_compile.wait(globals())
2022-11-23T01:32:32.4327164Z del async_compile
2022-11-23T01:32:32.4327169Z 
2022-11-23T01:32:32.4327246Z def call(args):
2022-11-23T01:32:32.4327322Z     arg0_1, = args
2022-11-23T01:32:32.4327400Z     args.clear()
2022-11-23T01:32:32.4327491Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T01:32:32.4327561Z     del arg0_1
2022-11-23T01:32:32.4327636Z     buf1 = buf0[0]
2022-11-23T01:32:32.4327748Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:32.4327825Z     buf2 = buf0[1]
2022-11-23T01:32:32.4327937Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:32.4328009Z     del buf0
2022-11-23T01:32:32.4328094Z     return (buf1, buf2, )
2022-11-23T01:32:32.4328099Z 
2022-11-23T01:32:32.4328103Z 
2022-11-23T01:32:32.4328185Z if __name__ == "__main__":
2022-11-23T01:32:32.4328299Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4328431Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4328676Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4328797Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4328802Z 
2022-11-23T01:32:32.4328877Z ok (0.035s)
2022-11-23T01:32:32.4329197Z   test_transpose_add_cuda (__main__.CudaTests) ... [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4329539Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4329759Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4330007Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4330286Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4330609Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4330952Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4331276Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4331649Z [2022-11-23 01:30:26,883] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335> 
2022-11-23T01:32:32.4331755Z  2336           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4331860Z                2 LOAD_METHOD              0 (t)
2022-11-23T01:32:32.4331961Z                4 CALL_METHOD              0
2022-11-23T01:32:32.4332055Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4332135Z                8 BINARY_ADD
2022-11-23T01:32:32.4332219Z               10 RETURN_VALUE
2022-11-23T01:32:32.4332287Z  
2022-11-23T01:32:32.4332292Z 
2022-11-23T01:32:32.4332629Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2336
2022-11-23T01:32:32.4332874Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.4333115Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()]
2022-11-23T01:32:32.4333395Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)]
2022-11-23T01:32:32.4333631Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.4333899Z [2022-11-23 01:30:26,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4334152Z [2022-11-23 01:30:26,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4334529Z [2022-11-23 01:30:26,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335>
2022-11-23T01:32:32.4334783Z [2022-11-23 01:30:26,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4335021Z [2022-11-23 01:30:26,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4335278Z [2022-11-23 01:30:26,886] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4335532Z [2022-11-23 01:30:26,889] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4335765Z [2022-11-23 01:30:26,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4335912Z  __compiled_fn_786 <eval_with_key>.4836 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4336002Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4336097Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.4336211Z call_method, t, t, (ex_0_,), {}
2022-11-23T01:32:32.4336391Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:32.4336493Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.4336499Z 
2022-11-23T01:32:32.4336826Z [2022-11-23 01:30:26,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4336929Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4337027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4337116Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4337219Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4337317Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4337416Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4337499Z              12 RETURN_VALUE
2022-11-23T01:32:32.4337504Z 
2022-11-23T01:32:32.4337572Z  
2022-11-23T01:32:32.4337895Z [2022-11-23 01:30:26,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4338008Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_786)
2022-11-23T01:32:32.4338107Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4338205Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4338289Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4338384Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4338482Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4338565Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.4338655Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.4338756Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4339023Z              18 RETURN_VALUE
2022-11-23T01:32:32.4339029Z 
2022-11-23T01:32:32.4339098Z  
2022-11-23T01:32:32.4339293Z [2022-11-23 01:30:26,890] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4339374Z  - 
2022-11-23T01:32:32.4339501Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4339572Z             {
2022-11-23T01:32:32.4339713Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4339911Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.4340039Z                 'obj_weakref': None
2022-11-23T01:32:32.4340266Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4340337Z             }
2022-11-23T01:32:32.4340407Z             
2022-11-23T01:32:32.4340485Z  - 
2022-11-23T01:32:32.4340608Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4340681Z             {
2022-11-23T01:32:32.4340829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4340943Z                 'code': None,
2022-11-23T01:32:32.4341158Z                 'obj_weakref': <weakref at 0x7f1fd81694e0; to 'Tensor' at 0x7f1fd81a2d90>
2022-11-23T01:32:32.4341416Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4341487Z             }
2022-11-23T01:32:32.4341550Z             
2022-11-23T01:32:32.4341627Z  - 
2022-11-23T01:32:32.4341759Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.4341828Z             {
2022-11-23T01:32:32.4341979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4342094Z                 'code': None,
2022-11-23T01:32:32.4342310Z                 'obj_weakref': <weakref at 0x7f1fd816b920; to 'Tensor' at 0x7f1fd81a3880>
2022-11-23T01:32:32.4342602Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4342676Z             }
2022-11-23T01:32:32.4342755Z             
2022-11-23T01:32:32.4342850Z  - 
2022-11-23T01:32:32.4343006Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4343083Z             {
2022-11-23T01:32:32.4343255Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4343425Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4343551Z                 'obj_weakref': None
2022-11-23T01:32:32.4343785Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4343855Z             }
2022-11-23T01:32:32.4343925Z             
2022-11-23T01:32:32.4344004Z  - 
2022-11-23T01:32:32.4344132Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4344195Z             {
2022-11-23T01:32:32.4344338Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4344561Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4344685Z                 'obj_weakref': None
2022-11-23T01:32:32.4344910Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4344981Z             }
2022-11-23T01:32:32.4345055Z             
2022-11-23T01:32:32.4345310Z [2022-11-23 01:30:26,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 768
2022-11-23T01:32:32.4345565Z [2022-11-23 01:30:26,900] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4345924Z [2022-11-23 01:30:27,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yywo7lqp3hk7puifhqw65dw6q2rd3jlx7g5l2vaxla7n3acubt.py
2022-11-23T01:32:32.4346191Z [2022-11-23 01:30:27,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 768
2022-11-23T01:32:32.4346197Z 
2022-11-23T01:32:32.4346297Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4346378Z import torch
2022-11-23T01:32:32.4346455Z import random
2022-11-23T01:32:32.4346580Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4346701Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4346707Z 
2022-11-23T01:32:32.4346796Z aten = torch.ops.aten
2022-11-23T01:32:32.4346938Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4347037Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4347042Z 
2022-11-23T01:32:32.4347118Z import triton
2022-11-23T01:32:32.4347213Z import triton.language as tl
2022-11-23T01:32:32.4347344Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4347489Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4347495Z 
2022-11-23T01:32:32.4347499Z 
2022-11-23T01:32:32.4347664Z triton_fused_permute_add0 = async_compile.triton('''
2022-11-23T01:32:32.4347743Z import triton
2022-11-23T01:32:32.4347839Z import triton.language as tl
2022-11-23T01:32:32.4347959Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4348067Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4348205Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4348335Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4348343Z 
2022-11-23T01:32:32.4348796Z @pointwise(size_hints=[32, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.4348865Z @triton.jit
2022-11-23T01:32:32.4349047Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:32.4349124Z     xnumel = 32
2022-11-23T01:32:32.4349199Z     ynumel = 16
2022-11-23T01:32:32.4349300Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4349478Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4349565Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4349657Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:32.4349795Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4349906Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4349980Z     x0 = xindex
2022-11-23T01:32:32.4350055Z     y1 = yindex
2022-11-23T01:32:32.4350178Z     tmp0 = tl.load(in_ptr0 + (x0 + (32*y1)), xmask & ymask)
2022-11-23T01:32:32.4350376Z     tmp1 = tl.load(in_ptr1 + (y1 + (16*x0)), xmask & ymask)
2022-11-23T01:32:32.4350462Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4350642Z     tl.store(out_ptr0 + (y1 + (16*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:32.4350751Z ''')
2022-11-23T01:32:32.4350757Z 
2022-11-23T01:32:32.4350764Z 
2022-11-23T01:32:32.4350879Z async_compile.wait(globals())
2022-11-23T01:32:32.4350971Z del async_compile
2022-11-23T01:32:32.4350976Z 
2022-11-23T01:32:32.4351055Z def call(args):
2022-11-23T01:32:32.4351137Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4351216Z     args.clear()
2022-11-23T01:32:32.4351413Z     buf0 = empty_strided((32, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4351508Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4351672Z     triton_fused_permute_add0.run(arg0_1, arg1_1, buf0, 32, 16, grid=grid(32, 16), stream=stream0)
2022-11-23T01:32:32.4351748Z     del arg0_1
2022-11-23T01:32:32.4351822Z     del arg1_1
2022-11-23T01:32:32.4351900Z     return (buf0, )
2022-11-23T01:32:32.4351905Z 
2022-11-23T01:32:32.4351910Z 
2022-11-23T01:32:32.4351992Z if __name__ == "__main__":
2022-11-23T01:32:32.4352118Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4352242Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4352448Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4352653Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4352775Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4352781Z 
2022-11-23T01:32:32.4352855Z ok (0.709s)
2022-11-23T01:32:32.4353169Z   test_transpose_cuda (__main__.CudaTests) ... [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4353491Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4353713Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4353962Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4354241Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4354561Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4354904Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4355227Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4355599Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242> 
2022-11-23T01:32:32.4355704Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4355806Z                2 LOAD_METHOD              1 (t)
2022-11-23T01:32:32.4355905Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4356005Z                6 CALL_METHOD              1
2022-11-23T01:32:32.4356125Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4356207Z               10 BINARY_ADD
2022-11-23T01:32:32.4356213Z 
2022-11-23T01:32:32.4356315Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4356425Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T01:32:32.4356550Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4356647Z               18 LOAD_CONST               1 (2)
2022-11-23T01:32:32.4356737Z               20 BINARY_MULTIPLY
2022-11-23T01:32:32.4356827Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4356921Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4357018Z               26 CALL_METHOD              3
2022-11-23T01:32:32.4357117Z               28 LOAD_CONST               4 (10)
2022-11-23T01:32:32.4357198Z               30 BINARY_ADD
2022-11-23T01:32:32.4357204Z 
2022-11-23T01:32:32.4357301Z 1243          32 BUILD_TUPLE              2
2022-11-23T01:32:32.4357387Z               34 RETURN_VALUE
2022-11-23T01:32:32.4357448Z  
2022-11-23T01:32:32.4357454Z 
2022-11-23T01:32:32.4357777Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244
2022-11-23T01:32:32.4358002Z [2022-11-23 01:30:27,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4358361Z [2022-11-23 01:30:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4358677Z [2022-11-23 01:30:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4359021Z [2022-11-23 01:30:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4359264Z [2022-11-23 01:30:27,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.4359538Z [2022-11-23 01:30:27,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4359854Z [2022-11-23 01:30:27,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245
2022-11-23T01:32:32.4360106Z [2022-11-23 01:30:27,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.4360508Z [2022-11-23 01:30:27,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4360854Z [2022-11-23 01:30:27,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4361231Z [2022-11-23 01:30:27,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4361666Z [2022-11-23 01:30:27,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4362051Z [2022-11-23 01:30:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4362466Z [2022-11-23 01:30:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4362950Z [2022-11-23 01:30:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4363226Z [2022-11-23 01:30:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4363559Z [2022-11-23 01:30:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4363874Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243
2022-11-23T01:32:32.4364148Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4364399Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4364772Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242>
2022-11-23T01:32:32.4365019Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4365251Z [2022-11-23 01:30:27,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4365511Z [2022-11-23 01:30:27,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4365770Z [2022-11-23 01:30:27,604] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4365964Z [2022-11-23 01:30:27,604] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4366108Z  __compiled_fn_787 <eval_with_key>.4842 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4366207Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4366301Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.4366519Z call_function, t, <built-in method t of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.4366690Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:32.4366869Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:32.4367119Z call_function, transpose, <built-in method transpose of type object at 0x7f209c394c60>, (mul, 0, 1), {}
2022-11-23T01:32:32.4367310Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T01:32:32.4367420Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:32.4367425Z 
2022-11-23T01:32:32.4367758Z [2022-11-23 01:30:27,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4367861Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4367963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4368052Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4368154Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4368249Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4368350Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4368434Z              12 RETURN_VALUE
2022-11-23T01:32:32.4368439Z 
2022-11-23T01:32:32.4368506Z  
2022-11-23T01:32:32.4368826Z [2022-11-23 01:30:27,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4368945Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_787)
2022-11-23T01:32:32.4369036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4369135Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4369218Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4369314Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4369440Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4369528Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.4369625Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.4369732Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4369864Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4369962Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4370046Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4370159Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4370255Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4370338Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4370426Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.4370511Z              32 RETURN_VALUE
2022-11-23T01:32:32.4370516Z 
2022-11-23T01:32:32.4370584Z  
2022-11-23T01:32:32.4370779Z [2022-11-23 01:30:27,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4370861Z  - 
2022-11-23T01:32:32.4370990Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4371063Z             {
2022-11-23T01:32:32.4371204Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4371401Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.4371529Z                 'obj_weakref': None
2022-11-23T01:32:32.4371758Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4371830Z             }
2022-11-23T01:32:32.4371901Z             
2022-11-23T01:32:32.4371980Z  - 
2022-11-23T01:32:32.4372105Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4372177Z             {
2022-11-23T01:32:32.4372331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4372445Z                 'code': None,
2022-11-23T01:32:32.4372664Z                 'obj_weakref': <weakref at 0x7f201e28b010; to 'Tensor' at 0x7f1ff81637e0>
2022-11-23T01:32:32.4372922Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4372993Z             }
2022-11-23T01:32:32.4373056Z             
2022-11-23T01:32:32.4373136Z  - 
2022-11-23T01:32:32.4373266Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.4373339Z             {
2022-11-23T01:32:32.4373491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4373607Z                 'code': None,
2022-11-23T01:32:32.4373823Z                 'obj_weakref': <weakref at 0x7f1ffad88c20; to 'Tensor' at 0x7f1ff8160590>
2022-11-23T01:32:32.4374075Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4374138Z             }
2022-11-23T01:32:32.4374209Z             
2022-11-23T01:32:32.4374288Z  - 
2022-11-23T01:32:32.4374426Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4374496Z             {
2022-11-23T01:32:32.4374640Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4374809Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4374933Z                 'obj_weakref': None
2022-11-23T01:32:32.4375164Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4375237Z             }
2022-11-23T01:32:32.4375310Z             
2022-11-23T01:32:32.4375387Z  - 
2022-11-23T01:32:32.4375513Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4375576Z             {
2022-11-23T01:32:32.4375719Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4375938Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4376062Z                 'obj_weakref': None
2022-11-23T01:32:32.4376285Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4376356Z             }
2022-11-23T01:32:32.4376454Z             
2022-11-23T01:32:32.4376525Z  - 
2022-11-23T01:32:32.4376665Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4376735Z             {
2022-11-23T01:32:32.4376861Z                 'guard_types': None,
2022-11-23T01:32:32.4376972Z                 'code': None,
2022-11-23T01:32:32.4377115Z                 'obj_weakref': None
2022-11-23T01:32:32.4377241Z                 'guarded_class': None
2022-11-23T01:32:32.4377304Z             }
2022-11-23T01:32:32.4377372Z             
2022-11-23T01:32:32.4377636Z [2022-11-23 01:30:27,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 769
2022-11-23T01:32:32.4377930Z [2022-11-23 01:30:27,622] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.4378301Z [2022-11-23 01:30:27,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnu3gejknbujjfiteodf2rmhpf5uzqdkox4yeacjzliwm7il2bcs.py
2022-11-23T01:32:32.4378573Z [2022-11-23 01:30:27,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 769
2022-11-23T01:32:32.4378957Z [2022-11-23 01:30:27,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4379279Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4379508Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4379757Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4380036Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4380361Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4380715Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4381043Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4381423Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242> 
2022-11-23T01:32:32.4381531Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4381632Z                2 LOAD_METHOD              1 (t)
2022-11-23T01:32:32.4381731Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4381821Z                6 CALL_METHOD              1
2022-11-23T01:32:32.4381918Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4382003Z               10 BINARY_ADD
2022-11-23T01:32:32.4382009Z 
2022-11-23T01:32:32.4382114Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4382224Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T01:32:32.4382324Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:32.4382423Z               18 LOAD_CONST               1 (2)
2022-11-23T01:32:32.4382511Z               20 BINARY_MULTIPLY
2022-11-23T01:32:32.4382600Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4382694Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:32.4382790Z               26 CALL_METHOD              3
2022-11-23T01:32:32.4382892Z               28 LOAD_CONST               4 (10)
2022-11-23T01:32:32.4382972Z               30 BINARY_ADD
2022-11-23T01:32:32.4382977Z 
2022-11-23T01:32:32.4383074Z 1243          32 BUILD_TUPLE              2
2022-11-23T01:32:32.4383156Z               34 RETURN_VALUE
2022-11-23T01:32:32.4383218Z  
2022-11-23T01:32:32.4383223Z 
2022-11-23T01:32:32.4383597Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244
2022-11-23T01:32:32.4383824Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4384212Z [2022-11-23 01:30:27,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4384527Z [2022-11-23 01:30:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4384872Z [2022-11-23 01:30:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4385115Z [2022-11-23 01:30:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.4385391Z [2022-11-23 01:30:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4385703Z [2022-11-23 01:30:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245
2022-11-23T01:32:32.4385957Z [2022-11-23 01:30:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.4386358Z [2022-11-23 01:30:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4386705Z [2022-11-23 01:30:27,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4387086Z [2022-11-23 01:30:27,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4387518Z [2022-11-23 01:30:27,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4387896Z [2022-11-23 01:30:27,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4388312Z [2022-11-23 01:30:27,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4388771Z [2022-11-23 01:30:27,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.4389042Z [2022-11-23 01:30:27,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4389354Z [2022-11-23 01:30:27,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4389667Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243
2022-11-23T01:32:32.4389943Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4390199Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4390699Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f21a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242>
2022-11-23T01:32:32.4390955Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4391212Z [2022-11-23 01:30:27,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4391475Z [2022-11-23 01:30:27,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4391735Z [2022-11-23 01:30:27,809] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4391933Z [2022-11-23 01:30:27,809] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4392081Z  __compiled_fn_788 <eval_with_key>.4848 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4392179Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4392274Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.4392523Z call_function, t, <built-in method t of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.4392721Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:32.4392899Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:32.4393155Z call_function, transpose, <built-in method transpose of type object at 0x7f209c394c60>, (mul, 0, 1), {}
2022-11-23T01:32:32.4393347Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T01:32:32.4393458Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:32.4393464Z 
2022-11-23T01:32:32.4393797Z [2022-11-23 01:30:27,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4393902Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4394000Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4394088Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4394192Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4394286Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4394384Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4394468Z              12 RETURN_VALUE
2022-11-23T01:32:32.4394475Z 
2022-11-23T01:32:32.4394543Z  
2022-11-23T01:32:32.4394872Z [2022-11-23 01:30:27,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4394994Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_788)
2022-11-23T01:32:32.4395085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4395185Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4395270Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4395368Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4395465Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4395549Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.4395646Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.4395752Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4395862Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4395964Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4396046Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4396161Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4396259Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4396343Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4396431Z              30 BUILD_TUPLE              2
2022-11-23T01:32:32.4396517Z              32 RETURN_VALUE
2022-11-23T01:32:32.4396523Z 
2022-11-23T01:32:32.4396589Z  
2022-11-23T01:32:32.4396782Z [2022-11-23 01:30:27,810] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4396862Z  - 
2022-11-23T01:32:32.4396991Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4397096Z             {
2022-11-23T01:32:32.4397243Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4397437Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.4397567Z                 'obj_weakref': None
2022-11-23T01:32:32.4397835Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4397908Z             }
2022-11-23T01:32:32.4397977Z             
2022-11-23T01:32:32.4398057Z  - 
2022-11-23T01:32:32.4398182Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4398252Z             {
2022-11-23T01:32:32.4398407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4398524Z                 'code': None,
2022-11-23T01:32:32.4398745Z                 'obj_weakref': <weakref at 0x7f1ffad5db70; to 'Tensor' at 0x7f1ffad2d3a0>
2022-11-23T01:32:32.4399003Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4399078Z             }
2022-11-23T01:32:32.4399141Z             
2022-11-23T01:32:32.4399220Z  - 
2022-11-23T01:32:32.4399354Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.4399425Z             {
2022-11-23T01:32:32.4399575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4399693Z                 'code': None,
2022-11-23T01:32:32.4399912Z                 'obj_weakref': <weakref at 0x7f1ffad5c040; to 'Tensor' at 0x7f201e20e750>
2022-11-23T01:32:32.4400159Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4400229Z             }
2022-11-23T01:32:32.4400298Z             
2022-11-23T01:32:32.4400375Z  - 
2022-11-23T01:32:32.4400514Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4400584Z             {
2022-11-23T01:32:32.4400726Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4400902Z                 'code': ['___check_obj_id(model, 139780371942128)'],
2022-11-23T01:32:32.4401028Z                 'obj_weakref': None
2022-11-23T01:32:32.4401266Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4401336Z             }
2022-11-23T01:32:32.4401410Z             
2022-11-23T01:32:32.4401488Z  - 
2022-11-23T01:32:32.4401617Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4401680Z             {
2022-11-23T01:32:32.4401826Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4402050Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4402175Z                 'obj_weakref': None
2022-11-23T01:32:32.4402404Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4402478Z             }
2022-11-23T01:32:32.4402548Z             
2022-11-23T01:32:32.4402619Z  - 
2022-11-23T01:32:32.4402762Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4402832Z             {
2022-11-23T01:32:32.4402960Z                 'guard_types': None,
2022-11-23T01:32:32.4403074Z                 'code': None,
2022-11-23T01:32:32.4403200Z                 'obj_weakref': None
2022-11-23T01:32:32.4403327Z                 'guarded_class': None
2022-11-23T01:32:32.4403392Z             }
2022-11-23T01:32:32.4403461Z             
2022-11-23T01:32:32.4403730Z [2022-11-23 01:30:27,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 770
2022-11-23T01:32:32.4404028Z [2022-11-23 01:30:27,826] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.4404394Z [2022-11-23 01:30:27,900] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uu/cuujkfq2rizj5u3mndpik5u5p5gg7ar5jj5p5pehnzw6y2y6paks.py
2022-11-23T01:32:32.4404671Z [2022-11-23 01:30:27,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 770
2022-11-23T01:32:32.4404707Z 
2022-11-23T01:32:32.4404816Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4404892Z import torch
2022-11-23T01:32:32.4404961Z import random
2022-11-23T01:32:32.4405085Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4405240Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4405246Z 
2022-11-23T01:32:32.4405330Z aten = torch.ops.aten
2022-11-23T01:32:32.4405472Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4405572Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4405578Z 
2022-11-23T01:32:32.4405654Z import triton
2022-11-23T01:32:32.4405749Z import triton.language as tl
2022-11-23T01:32:32.4405872Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4406016Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4406022Z 
2022-11-23T01:32:32.4406026Z 
2022-11-23T01:32:32.4406236Z triton_fused_permute_1_add_1_mul_permute_add0 = async_compile.triton('''
2022-11-23T01:32:32.4406318Z import triton
2022-11-23T01:32:32.4406411Z import triton.language as tl
2022-11-23T01:32:32.4406529Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4406639Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4406774Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4406906Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4406912Z 
2022-11-23T01:32:32.4407374Z @pointwise(size_hints=[8, 8], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4407450Z @triton.jit
2022-11-23T01:32:32.4407641Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:32.4407717Z     xnumel = 8
2022-11-23T01:32:32.4407798Z     ynumel = 8
2022-11-23T01:32:32.4407900Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4408042Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4408121Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4408221Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:32.4408364Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4408449Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4408524Z     x0 = xindex
2022-11-23T01:32:32.4408596Z     y1 = yindex
2022-11-23T01:32:32.4408717Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*y1)), xmask & ymask)
2022-11-23T01:32:32.4408829Z     tmp1 = tl.load(in_ptr1 + (y1 + (8*x0)), xmask & ymask)
2022-11-23T01:32:32.4408912Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4408985Z     tmp3 = 2
2022-11-23T01:32:32.4409066Z     tmp4 = tmp1 * tmp3
2022-11-23T01:32:32.4409139Z     tmp5 = 10
2022-11-23T01:32:32.4409218Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.4409375Z     tl.store(out_ptr0 + (y1 + (8*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:32.4409532Z     tl.store(out_ptr1 + (y1 + (8*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp6, xmask & ymask)
2022-11-23T01:32:32.4409621Z ''')
2022-11-23T01:32:32.4409626Z 
2022-11-23T01:32:32.4409633Z 
2022-11-23T01:32:32.4409731Z async_compile.wait(globals())
2022-11-23T01:32:32.4409810Z del async_compile
2022-11-23T01:32:32.4409816Z 
2022-11-23T01:32:32.4409896Z def call(args):
2022-11-23T01:32:32.4409977Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4410056Z     args.clear()
2022-11-23T01:32:32.4410250Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4410452Z     buf1 = empty_strided((8, 8), (1, 8), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4410546Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4410732Z     triton_fused_permute_1_add_1_mul_permute_add0.run(arg0_1, arg1_1, buf0, buf1, 8, 8, grid=grid(8, 8), stream=stream0)
2022-11-23T01:32:32.4410837Z     del arg0_1
2022-11-23T01:32:32.4410914Z     del arg1_1
2022-11-23T01:32:32.4410998Z     return (buf0, buf1, )
2022-11-23T01:32:32.4411004Z 
2022-11-23T01:32:32.4411008Z 
2022-11-23T01:32:32.4411091Z if __name__ == "__main__":
2022-11-23T01:32:32.4411206Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4411360Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4411565Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4411768Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4411891Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4411897Z 
2022-11-23T01:32:32.4411901Z 
2022-11-23T01:32:32.4412002Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4412079Z import torch
2022-11-23T01:32:32.4412156Z import random
2022-11-23T01:32:32.4412271Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4412402Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4412407Z 
2022-11-23T01:32:32.4412492Z aten = torch.ops.aten
2022-11-23T01:32:32.4412631Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4412730Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4412737Z 
2022-11-23T01:32:32.4412815Z import triton
2022-11-23T01:32:32.4412910Z import triton.language as tl
2022-11-23T01:32:32.4413032Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4413177Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4413183Z 
2022-11-23T01:32:32.4413187Z 
2022-11-23T01:32:32.4413393Z triton_fused_mul_permute_1_add_permute_add_10 = async_compile.triton('''
2022-11-23T01:32:32.4413470Z import triton
2022-11-23T01:32:32.4413565Z import triton.language as tl
2022-11-23T01:32:32.4413684Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4413789Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4413934Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4414056Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4414068Z 
2022-11-23T01:32:32.4414520Z @pointwise(size_hints=[8, 8], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4414600Z @triton.jit
2022-11-23T01:32:32.4414791Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:32.4414868Z     xnumel = 8
2022-11-23T01:32:32.4414942Z     ynumel = 8
2022-11-23T01:32:32.4415042Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4415182Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4415261Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4415362Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:32.4415501Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4415586Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4415664Z     x0 = xindex
2022-11-23T01:32:32.4415737Z     y1 = yindex
2022-11-23T01:32:32.4415879Z     tmp0 = tl.load(in_ptr0 + (x0 + (8*y1)), xmask & ymask).to(tl.float32)
2022-11-23T01:32:32.4416005Z     tmp1 = tl.load(in_ptr1 + (y1 + (8*x0)), xmask & ymask).to(tl.float32)
2022-11-23T01:32:32.4416088Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4416161Z     tmp3 = 2
2022-11-23T01:32:32.4416242Z     tmp4 = tmp1 * tmp3
2022-11-23T01:32:32.4416315Z     tmp5 = 10
2022-11-23T01:32:32.4416395Z     tmp6 = tmp4 + tmp5
2022-11-23T01:32:32.4416556Z     tl.store(out_ptr0 + (y1 + (8*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:32.4416701Z     tl.store(out_ptr1 + (y1 + (8*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp6, xmask & ymask)
2022-11-23T01:32:32.4416791Z ''')
2022-11-23T01:32:32.4416827Z 
2022-11-23T01:32:32.4416832Z 
2022-11-23T01:32:32.4416930Z async_compile.wait(globals())
2022-11-23T01:32:32.4417009Z del async_compile
2022-11-23T01:32:32.4417014Z 
2022-11-23T01:32:32.4417092Z def call(args):
2022-11-23T01:32:32.4417174Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4417275Z     args.clear()
2022-11-23T01:32:32.4417478Z     buf0 = empty_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4417667Z     buf1 = empty_strided((8, 8), (1, 8), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4417761Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4417946Z     triton_fused_mul_permute_1_add_permute_add_10.run(arg0_1, arg1_1, buf0, buf1, 8, 8, grid=grid(8, 8), stream=stream0)
2022-11-23T01:32:32.4418022Z     del arg0_1
2022-11-23T01:32:32.4418096Z     del arg1_1
2022-11-23T01:32:32.4418183Z     return (buf0, buf1, )
2022-11-23T01:32:32.4418188Z 
2022-11-23T01:32:32.4418193Z 
2022-11-23T01:32:32.4418276Z if __name__ == "__main__":
2022-11-23T01:32:32.4418401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4418524Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4418722Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4419138Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4419271Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4419276Z 
2022-11-23T01:32:32.4419350Z ok (0.312s)
2022-11-23T01:32:32.4419892Z   test_transposed_propagates_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.4419975Z   warnings.warn(
2022-11-23T01:32:32.4420218Z [2022-11-23 01:30:27,905] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4420537Z [2022-11-23 01:30:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2206
2022-11-23T01:32:32.4420744Z [2022-11-23 01:30:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4420989Z [2022-11-23 01:30:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4421264Z [2022-11-23 01:30:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4421520Z [2022-11-23 01:30:27,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4421754Z [2022-11-23 01:30:27,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4422004Z [2022-11-23 01:30:27,907] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4422289Z [2022-11-23 01:30:27,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4422489Z [2022-11-23 01:30:27,910] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4422634Z  __compiled_fn_789 <eval_with_key>.4854 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4422719Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4422809Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4422984Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4423087Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.4423093Z 
2022-11-23T01:32:32.4423418Z [2022-11-23 01:30:27,910] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:32.4423519Z 2206           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4423618Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4423692Z                4 BINARY_ADD
2022-11-23T01:32:32.4423846Z                6 RETURN_VALUE
2022-11-23T01:32:32.4423852Z 
2022-11-23T01:32:32.4423922Z  
2022-11-23T01:32:32.4424253Z [2022-11-23 01:30:27,910] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:32.4424402Z 2204           0 LOAD_GLOBAL              0 (__compiled_fn_789)
2022-11-23T01:32:32.4424502Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4424600Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4424699Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4424792Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4424876Z               10 RETURN_VALUE
2022-11-23T01:32:32.4424881Z 
2022-11-23T01:32:32.4424949Z  
2022-11-23T01:32:32.4434423Z [2022-11-23 01:30:27,911] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4434533Z  - 
2022-11-23T01:32:32.4434664Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4434736Z             {
2022-11-23T01:32:32.4434887Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4435002Z                 'code': None,
2022-11-23T01:32:32.4435221Z                 'obj_weakref': <weakref at 0x7f2000fe7ba0; to 'Tensor' at 0x7f1fd9a6fce0>
2022-11-23T01:32:32.4435477Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4435552Z             }
2022-11-23T01:32:32.4435623Z             
2022-11-23T01:32:32.4435702Z  - 
2022-11-23T01:32:32.4435822Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4435893Z             {
2022-11-23T01:32:32.4436042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4436155Z                 'code': None,
2022-11-23T01:32:32.4436366Z                 'obj_weakref': <weakref at 0x7f207277d170; to 'Tensor' at 0x7f1ffad7d6c0>
2022-11-23T01:32:32.4436616Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4436689Z             }
2022-11-23T01:32:32.4436751Z             
2022-11-23T01:32:32.4437019Z [2022-11-23 01:30:27,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 771
2022-11-23T01:32:32.4437275Z [2022-11-23 01:30:27,922] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4437634Z [2022-11-23 01:30:27,984] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/75/c75rpzppbo7q6uki7o3ai256bq3th2rxwseylsix2whnlhy3gv42.py
2022-11-23T01:32:32.4437902Z [2022-11-23 01:30:27,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 771
2022-11-23T01:32:32.4437908Z 
2022-11-23T01:32:32.4438011Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4438088Z import torch
2022-11-23T01:32:32.4438164Z import random
2022-11-23T01:32:32.4438289Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4438410Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4438418Z 
2022-11-23T01:32:32.4438504Z aten = torch.ops.aten
2022-11-23T01:32:32.4438649Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4438747Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4438752Z 
2022-11-23T01:32:32.4438832Z import triton
2022-11-23T01:32:32.4438928Z import triton.language as tl
2022-11-23T01:32:32.4439059Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4439197Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4439210Z 
2022-11-23T01:32:32.4439214Z 
2022-11-23T01:32:32.4439363Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:32.4439441Z import triton
2022-11-23T01:32:32.4439535Z import triton.language as tl
2022-11-23T01:32:32.4439655Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4439762Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4439900Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4440100Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4440107Z 
2022-11-23T01:32:32.4440493Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4440594Z @triton.jit
2022-11-23T01:32:32.4440746Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4440823Z     xnumel = 64
2022-11-23T01:32:32.4440924Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4441060Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4441146Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4441220Z     x0 = xindex
2022-11-23T01:32:32.4441314Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4441413Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.4441497Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.4441643Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.4441732Z ''')
2022-11-23T01:32:32.4441737Z 
2022-11-23T01:32:32.4441742Z 
2022-11-23T01:32:32.4441839Z async_compile.wait(globals())
2022-11-23T01:32:32.4441918Z del async_compile
2022-11-23T01:32:32.4441926Z 
2022-11-23T01:32:32.4441996Z def call(args):
2022-11-23T01:32:32.4442078Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4442158Z     args.clear()
2022-11-23T01:32:32.4442374Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4442471Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4442619Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 64, grid=grid(64), stream=stream0)
2022-11-23T01:32:32.4442694Z     del arg0_1
2022-11-23T01:32:32.4442761Z     del arg1_1
2022-11-23T01:32:32.4442839Z     return (buf0, )
2022-11-23T01:32:32.4442845Z 
2022-11-23T01:32:32.4442849Z 
2022-11-23T01:32:32.4442931Z if __name__ == "__main__":
2022-11-23T01:32:32.4443054Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4443185Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4443402Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4443611Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4443738Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4443744Z 
2022-11-23T01:32:32.4443809Z ok (0.228s)
2022-11-23T01:32:32.4444331Z   test_triton_conv_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.4444413Z   warnings.warn(
2022-11-23T01:32:32.4444672Z [2022-11-23 01:30:28,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing triton_conv
2022-11-23T01:32:32.4444993Z [2022-11-23 01:30:28,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2228
2022-11-23T01:32:32.4445219Z [2022-11-23 01:30:28,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4445590Z [2022-11-23 01:30:28,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4445915Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4446262Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4446664Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST bias [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4447073Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4447528Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:32.4447983Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dilation [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:32.4448458Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST groups [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:32.4448968Z [2022-11-23 01:30:28,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4449217Z [2022-11-23 01:30:28,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:32.4449534Z [2022-11-23 01:30:28,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2229
2022-11-23T01:32:32.4449752Z [2022-11-23 01:30:28,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y []
2022-11-23T01:32:32.4450007Z [2022-11-23 01:30:28,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4450260Z [2022-11-23 01:30:28,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing triton_conv
2022-11-23T01:32:32.4450509Z [2022-11-23 01:30:28,137] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4450755Z [2022-11-23 01:30:28,140] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4450953Z [2022-11-23 01:30:28,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4451091Z  __compiled_fn_790 <eval_with_key>.4860 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4451182Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4451271Z placeholder, w, w, (), {}
2022-11-23T01:32:32.4451368Z placeholder, bias, bias, (), {}
2022-11-23T01:32:32.4451640Z call_function, conv2d, <built-in method conv2d of type object at 0x7f209c394c60>, (x, w, bias, (1, 1), (0, 0), (1, 1), 1), {}
2022-11-23T01:32:32.4451749Z output, output, output, ((conv2d,),), {}
2022-11-23T01:32:32.4451755Z 
2022-11-23T01:32:32.4452102Z [2022-11-23 01:30:28,141] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2218 
2022-11-23T01:32:32.4452212Z 2228           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4452316Z                2 LOAD_METHOD              1 (conv2d)
2022-11-23T01:32:32.4452407Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4452509Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:32.4452608Z                8 LOAD_FAST                2 (bias)
2022-11-23T01:32:32.4452710Z               10 LOAD_FAST                3 (stride)
2022-11-23T01:32:32.4452816Z               12 LOAD_FAST                4 (padding)
2022-11-23T01:32:32.4452921Z               14 LOAD_FAST                5 (dilation)
2022-11-23T01:32:32.4453023Z               16 LOAD_FAST                6 (groups)
2022-11-23T01:32:32.4453139Z               18 CALL_METHOD              7
2022-11-23T01:32:32.4453242Z               20 STORE_FAST               7 (y)
2022-11-23T01:32:32.4453248Z 
2022-11-23T01:32:32.4453346Z 2229          22 LOAD_FAST                7 (y)
2022-11-23T01:32:32.4453430Z               24 RETURN_VALUE
2022-11-23T01:32:32.4453454Z 
2022-11-23T01:32:32.4453524Z  
2022-11-23T01:32:32.4453867Z [2022-11-23 01:30:28,141] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE triton_conv /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2218 
2022-11-23T01:32:32.4453988Z 2218           0 LOAD_GLOBAL              2 (__compiled_fn_790)
2022-11-23T01:32:32.4454090Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4454181Z                4 LOAD_FAST                1 (w)
2022-11-23T01:32:32.4454284Z                6 LOAD_FAST                2 (bias)
2022-11-23T01:32:32.4454384Z                8 CALL_FUNCTION            3
2022-11-23T01:32:32.4454486Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4454571Z               12 RETURN_VALUE
2022-11-23T01:32:32.4454576Z 
2022-11-23T01:32:32.4454646Z  
2022-11-23T01:32:32.4454836Z [2022-11-23 01:30:28,142] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4454906Z  - 
2022-11-23T01:32:32.4455033Z             local 'w' TENSOR_MATCH
2022-11-23T01:32:32.4455106Z             {
2022-11-23T01:32:32.4455260Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4455374Z                 'code': None,
2022-11-23T01:32:32.4455592Z                 'obj_weakref': <weakref at 0x7f1fd9a5aed0; to 'Tensor' at 0x7f2023228cc0>
2022-11-23T01:32:32.4455846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4455908Z             }
2022-11-23T01:32:32.4455982Z             
2022-11-23T01:32:32.4456060Z  - 
2022-11-23T01:32:32.4456185Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4456256Z             {
2022-11-23T01:32:32.4456409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4456522Z                 'code': None,
2022-11-23T01:32:32.4456731Z                 'obj_weakref': <weakref at 0x7f1fd9a5a4d0; to 'Tensor' at 0x7f1fd8372c00>
2022-11-23T01:32:32.4456976Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4457051Z             }
2022-11-23T01:32:32.4457124Z             
2022-11-23T01:32:32.4457201Z  - 
2022-11-23T01:32:32.4457331Z             local 'bias' TENSOR_MATCH
2022-11-23T01:32:32.4457400Z             {
2022-11-23T01:32:32.4457540Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4457652Z                 'code': None,
2022-11-23T01:32:32.4457863Z                 'obj_weakref': <weakref at 0x7f1fd9a5ae80; to 'Tensor' at 0x7f202322b650>
2022-11-23T01:32:32.4458107Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4458178Z             }
2022-11-23T01:32:32.4458250Z             
2022-11-23T01:32:32.4458329Z  - 
2022-11-23T01:32:32.4458461Z             local 'groups' CONSTANT_MATCH
2022-11-23T01:32:32.4458530Z             {
2022-11-23T01:32:32.4458680Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4459106Z                 'code': ['___check_type_id(groups, 94768292480384)', 'groups == 1'],
2022-11-23T01:32:32.4459236Z                 'obj_weakref': None
2022-11-23T01:32:32.4459460Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4459530Z             }
2022-11-23T01:32:32.4459591Z             
2022-11-23T01:32:32.4459668Z  - 
2022-11-23T01:32:32.4459802Z             local 'stride' EQUALS_MATCH
2022-11-23T01:32:32.4459871Z             {
2022-11-23T01:32:32.4460046Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.4460453Z                 'code': ['___check_type_id(stride, 94768292458112)', 'len(stride) == 2', '___check_type_id(stride[0], 94768292480384)', '___check_type_id(stride[1], 94768292480384)', 'stride == (1, 1)'],
2022-11-23T01:32:32.4460582Z                 'obj_weakref': None
2022-11-23T01:32:32.4460813Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4460907Z             }
2022-11-23T01:32:32.4460977Z             
2022-11-23T01:32:32.4461055Z  - 
2022-11-23T01:32:32.4461195Z             local 'padding' EQUALS_MATCH
2022-11-23T01:32:32.4461266Z             {
2022-11-23T01:32:32.4461444Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.4461812Z                 'code': ['___check_type_id(padding, 94768292458112)', 'len(padding) == 2', '___check_type_id(padding[0], 94768292480384)', '___check_type_id(padding[1], 94768292480384)', 'padding == (0, 0)'],
2022-11-23T01:32:32.4461930Z                 'obj_weakref': None
2022-11-23T01:32:32.4462160Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4462232Z             }
2022-11-23T01:32:32.4462302Z             
2022-11-23T01:32:32.4462380Z  - 
2022-11-23T01:32:32.4462523Z             local 'dilation' EQUALS_MATCH
2022-11-23T01:32:32.4462595Z             {
2022-11-23T01:32:32.4462761Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.4463128Z                 'code': ['___check_type_id(dilation, 94768292458112)', 'len(dilation) == 2', '___check_type_id(dilation[0], 94768292480384)', '___check_type_id(dilation[1], 94768292480384)', 'dilation == (1, 1)'],
2022-11-23T01:32:32.4463255Z                 'obj_weakref': None
2022-11-23T01:32:32.4463481Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4463554Z             }
2022-11-23T01:32:32.4463624Z             
2022-11-23T01:32:32.4463702Z  - 
2022-11-23T01:32:32.4463851Z             local 'stride[0]' CONSTANT_MATCH
2022-11-23T01:32:32.4463914Z             {
2022-11-23T01:32:32.4464070Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4464277Z                 'code': ['___check_type_id(stride[0], 94768292480384)', 'stride[0] == 1'],
2022-11-23T01:32:32.4464401Z                 'obj_weakref': None
2022-11-23T01:32:32.4464623Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4464697Z             }
2022-11-23T01:32:32.4464768Z             
2022-11-23T01:32:32.4464839Z  - 
2022-11-23T01:32:32.4464987Z             local 'stride[1]' CONSTANT_MATCH
2022-11-23T01:32:32.4465056Z             {
2022-11-23T01:32:32.4465205Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4465406Z                 'code': ['___check_type_id(stride[1], 94768292480384)', 'stride[1] == 1'],
2022-11-23T01:32:32.4465531Z                 'obj_weakref': None
2022-11-23T01:32:32.4465751Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4465817Z             }
2022-11-23T01:32:32.4465886Z             
2022-11-23T01:32:32.4465964Z  - 
2022-11-23T01:32:32.4466116Z             local 'padding[0]' CONSTANT_MATCH
2022-11-23T01:32:32.4466187Z             {
2022-11-23T01:32:32.4466336Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4466549Z                 'code': ['___check_type_id(padding[0], 94768292480384)', 'padding[0] == 0'],
2022-11-23T01:32:32.4466665Z                 'obj_weakref': None
2022-11-23T01:32:32.4466882Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4466954Z             }
2022-11-23T01:32:32.4467026Z             
2022-11-23T01:32:32.4467103Z  - 
2022-11-23T01:32:32.4467254Z             local 'padding[1]' CONSTANT_MATCH
2022-11-23T01:32:32.4467323Z             {
2022-11-23T01:32:32.4467463Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4467705Z                 'code': ['___check_type_id(padding[1], 94768292480384)', 'padding[1] == 0'],
2022-11-23T01:32:32.4467830Z                 'obj_weakref': None
2022-11-23T01:32:32.4468050Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4468122Z             }
2022-11-23T01:32:32.4468193Z             
2022-11-23T01:32:32.4468294Z  - 
2022-11-23T01:32:32.4468438Z             local 'dilation[0]' CONSTANT_MATCH
2022-11-23T01:32:32.4468508Z             {
2022-11-23T01:32:32.4468658Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4468872Z                 'code': ['___check_type_id(dilation[0], 94768292480384)', 'dilation[0] == 1'],
2022-11-23T01:32:32.4468997Z                 'obj_weakref': None
2022-11-23T01:32:32.4469220Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4469290Z             }
2022-11-23T01:32:32.4469352Z             
2022-11-23T01:32:32.4469429Z  - 
2022-11-23T01:32:32.4469579Z             local 'dilation[1]' CONSTANT_MATCH
2022-11-23T01:32:32.4469653Z             {
2022-11-23T01:32:32.4469801Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.4470015Z                 'code': ['___check_type_id(dilation[1], 94768292480384)', 'dilation[1] == 1'],
2022-11-23T01:32:32.4470139Z                 'obj_weakref': None
2022-11-23T01:32:32.4470433Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.4470517Z             }
2022-11-23T01:32:32.4470598Z             
2022-11-23T01:32:32.4470691Z  - 
2022-11-23T01:32:32.4470851Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4470920Z             {
2022-11-23T01:32:32.4471051Z                 'guard_types': None,
2022-11-23T01:32:32.4471159Z                 'code': None,
2022-11-23T01:32:32.4471282Z                 'obj_weakref': None
2022-11-23T01:32:32.4471409Z                 'guarded_class': None
2022-11-23T01:32:32.4471479Z             }
2022-11-23T01:32:32.4471548Z             
2022-11-23T01:32:32.4471822Z [2022-11-23 01:30:28,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 772
2022-11-23T01:32:32.4472078Z [2022-11-23 01:30:28,171] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.4472423Z [2022-11-23 01:30:28,176] torch._inductor.codegen.triton_template: [DEBUG] template_codegen: TemplateSchedulerNode(name='buf1') -- [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4472637Z [2022-11-23 01:30:28,215] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:32.4473008Z [2022-11-23 01:30:28,296] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q4/cq4ijrtegp6pnciydijcykfsw32jf32rg4kaweaolg22faw5m4ep.py
2022-11-23T01:32:32.4473282Z [2022-11-23 01:30:28,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 772
2022-11-23T01:32:32.4473288Z 
2022-11-23T01:32:32.4473390Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4473466Z import torch
2022-11-23T01:32:32.4473544Z import random
2022-11-23T01:32:32.4473668Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4473790Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4473803Z 
2022-11-23T01:32:32.4473880Z aten = torch.ops.aten
2022-11-23T01:32:32.4474028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4474127Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4474132Z 
2022-11-23T01:32:32.4474207Z import triton
2022-11-23T01:32:32.4474302Z import triton.language as tl
2022-11-23T01:32:32.4474435Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4474583Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4474588Z 
2022-11-23T01:32:32.4474738Z from torch._inductor.triton_ops.conv_perf_model import early_config_prune
2022-11-23T01:32:32.4474895Z from torch._inductor.triton_ops.conv_perf_model import estimate_conv_time
2022-11-23T01:32:32.4475076Z from torch._inductor.triton_ops.autotune import conv_heuristics
2022-11-23T01:32:32.4475083Z 
2022-11-23T01:32:32.4475088Z 
2022-11-23T01:32:32.4475264Z triton_fused_convolution0 = async_compile.triton('''
2022-11-23T01:32:32.4475341Z import triton
2022-11-23T01:32:32.4475436Z import triton.language as tl
2022-11-23T01:32:32.4475577Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4475683Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4475814Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4475945Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4475950Z 
2022-11-23T01:32:32.4476394Z @pointwise(size_hints=[4096, 1024], tile_hint=TileHint.SQUARE,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4476469Z @triton.jit
2022-11-23T01:32:32.4476647Z def kernel(in_ptr0, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:32.4476726Z     xnumel = 4096
2022-11-23T01:32:32.4476804Z     ynumel = 1024
2022-11-23T01:32:32.4476905Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4477040Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4477130Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4477232Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:32.4477373Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4477460Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4477533Z     x3 = xindex
2022-11-23T01:32:32.4477606Z     y2 = yindex
2022-11-23T01:32:32.4477677Z     x0 = xindex % 128
2022-11-23T01:32:32.4477761Z     x1 = (xindex // 128)
2022-11-23T01:32:32.4477926Z     tmp0 = tl.load(in_ptr0 + (y2 + (1024*x3) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), xmask & ymask)
2022-11-23T01:32:32.4478099Z     tl.store(out_ptr0 + (x0 + (128*y2) + (131072*x1) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp0, xmask & ymask)
2022-11-23T01:32:32.4478188Z ''')
2022-11-23T01:32:32.4478193Z 
2022-11-23T01:32:32.4478275Z @conv_heuristics()
2022-11-23T01:32:32.4478351Z @triton.jit
2022-11-23T01:32:32.4478430Z def triton_template_1(
2022-11-23T01:32:32.4478503Z     x,
2022-11-23T01:32:32.4478571Z     w,
2022-11-23T01:32:32.4478651Z     # stride of tensor
2022-11-23T01:32:32.4478724Z     stride_xn,
2022-11-23T01:32:32.4478797Z     stride_xc,
2022-11-23T01:32:32.4478870Z     stride_xh,
2022-11-23T01:32:32.4478935Z     stride_xw,
2022-11-23T01:32:32.4479010Z     stride_wn,
2022-11-23T01:32:32.4479082Z     stride_wc,
2022-11-23T01:32:32.4479153Z     stride_wh,
2022-11-23T01:32:32.4479225Z     stride_ww,
2022-11-23T01:32:32.4479297Z     stride_yn,
2022-11-23T01:32:32.4479362Z     stride_yc,
2022-11-23T01:32:32.4479435Z     stride_yh,
2022-11-23T01:32:32.4479507Z     stride_yw,
2022-11-23T01:32:32.4479583Z     stride_biasn,
2022-11-23T01:32:32.4479667Z     # Tensor dimensions
2022-11-23T01:32:32.4479739Z     BATCH,
2022-11-23T01:32:32.4479810Z     IN_C,
2022-11-23T01:32:32.4479872Z     IN_H,
2022-11-23T01:32:32.4479946Z     IN_W,
2022-11-23T01:32:32.4480019Z     KERNEL_N,
2022-11-23T01:32:32.4480092Z     KERNEL_H,
2022-11-23T01:32:32.4480164Z     KERNEL_W,
2022-11-23T01:32:32.4480240Z     OUT_H,
2022-11-23T01:32:32.4480302Z     OUT_W,
2022-11-23T01:32:32.4480390Z     # parameters of conv
2022-11-23T01:32:32.4480461Z     stride_h,
2022-11-23T01:32:32.4480533Z     stride_w,
2022-11-23T01:32:32.4480607Z     padding_h,
2022-11-23T01:32:32.4480681Z     padding_w,
2022-11-23T01:32:32.4480755Z     dilation_h,
2022-11-23T01:32:32.4480822Z     dilation_w,
2022-11-23T01:32:32.4480904Z     output_padding_h,
2022-11-23T01:32:32.4480992Z     output_padding_w,
2022-11-23T01:32:32.4481080Z     groups: tl.constexpr,
2022-11-23T01:32:32.4481168Z     # pointer inc for x
2022-11-23T01:32:32.4481245Z     delta_x_ptr,
2022-11-23T01:32:32.4481325Z     # fusable kernels args
2022-11-23T01:32:32.4481402Z     in_ptr0,
2022-11-23T01:32:32.4481506Z     out_ptr3,
2022-11-23T01:32:32.4481589Z     # Metaparameters
2022-11-23T01:32:32.4481680Z     ACC_TYPE: tl.constexpr,
2022-11-23T01:32:32.4481774Z     CONV1X1_NHWC: tl.constexpr,
2022-11-23T01:32:32.4481871Z     # blocks in different dimension
2022-11-23T01:32:32.4481977Z     BLOCK_M: tl.constexpr,
2022-11-23T01:32:32.4482068Z     BLOCK_N: tl.constexpr,
2022-11-23T01:32:32.4482184Z     # reduction tiling parameter for matmul
2022-11-23T01:32:32.4482273Z     BLOCK_K: tl.constexpr,
2022-11-23T01:32:32.4482342Z ):
2022-11-23T01:32:32.4482411Z     """
2022-11-23T01:32:32.4482578Z     each program instance computes a [BLOCK_BATCH, BLOCK_N, BLOCK_H, BLOCK_W] block of y
2022-11-23T01:32:32.4482641Z     """
2022-11-23T01:32:32.4482834Z     # -----------------------------------------------------------
2022-11-23T01:32:32.4482975Z     # Map program ids `pid` to the block of y it should compute.
2022-11-23T01:32:32.4483068Z     pid_nhw = tl.program_id(0)
2022-11-23T01:32:32.4483162Z     pid_k = tl.program_id(1)
2022-11-23T01:32:32.4483167Z 
2022-11-23T01:32:32.4483253Z     # offset for output y
2022-11-23T01:32:32.4483377Z     off_y_k = pid_k * BLOCK_N + tl.arange(0, BLOCK_N)
2022-11-23T01:32:32.4483495Z     off_y_nhw = pid_nhw * BLOCK_M + tl.arange(0, BLOCK_M)
2022-11-23T01:32:32.4483602Z     off_y_n = off_y_nhw // (OUT_H * OUT_W)
2022-11-23T01:32:32.4483706Z     off_y_hw = off_y_nhw % (OUT_H * OUT_W)
2022-11-23T01:32:32.4483797Z     off_y_h = off_y_hw // OUT_W
2022-11-23T01:32:32.4483884Z     off_y_w = off_y_hw % OUT_W
2022-11-23T01:32:32.4483889Z 
2022-11-23T01:32:32.4483990Z     # offset for the initial ptr for x
2022-11-23T01:32:32.4484069Z     off_x_n = off_y_n
2022-11-23T01:32:32.4484211Z     off_x_h = off_y_h * stride_h - padding_h
2022-11-23T01:32:32.4484358Z     off_x_w = off_y_w * stride_w - padding_w
2022-11-23T01:32:32.4484502Z     off_x_nhw = off_x_n * stride_xn + off_x_h * stride_xh + off_x_w * stride_xw
2022-11-23T01:32:32.4484600Z     off_x_crs = tl.arange(0, BLOCK_K)
2022-11-23T01:32:32.4484609Z 
2022-11-23T01:32:32.4484702Z     CRS = IN_C * KERNEL_H * KERNEL_W
2022-11-23T01:32:32.4484802Z     # load inc ptr of x, upade x_ptrs
2022-11-23T01:32:32.4484889Z     if not CONV1X1_NHWC:
2022-11-23T01:32:32.4485000Z         delta_x_ptrs = delta_x_ptr + off_x_crs
2022-11-23T01:32:32.4485148Z         off_x_crs_unpacked = tl.load(delta_x_ptrs, mask=off_x_crs < CRS, other=0)
2022-11-23T01:32:32.4485287Z         x_ptrs = x + off_x_nhw[:, None] + off_x_crs_unpacked[None, :]
2022-11-23T01:32:32.4485359Z     else:
2022-11-23T01:32:32.4485486Z         x_ptrs = x + off_x_nhw[:, None] + off_x_crs[None, :]
2022-11-23T01:32:32.4485491Z 
2022-11-23T01:32:32.4485566Z     mask_x = (
2022-11-23T01:32:32.4485647Z         (off_x_n < BATCH)
2022-11-23T01:32:32.4485727Z         & (off_x_h >= 0)
2022-11-23T01:32:32.4485801Z         & (off_x_h < IN_H)
2022-11-23T01:32:32.4485881Z         & (off_x_w >= 0)
2022-11-23T01:32:32.4485960Z         & (off_x_w < IN_W)
2022-11-23T01:32:32.4486067Z     )[:, None] & (off_x_crs < CRS)[None, :]
2022-11-23T01:32:32.4486073Z 
2022-11-23T01:32:32.4486173Z     # offset for the inital ptr for w
2022-11-23T01:32:32.4486273Z     off_w_crs = tl.arange(0, BLOCK_K)
2022-11-23T01:32:32.4486350Z     off_w_k = off_y_k
2022-11-23T01:32:32.4486473Z     w_ptrs = w + off_w_crs[:, None] + off_w_k[None, :] * stride_wn
2022-11-23T01:32:32.4486611Z     mask_w = (off_x_crs < CRS)[:, None] & (off_w_k < KERNEL_N)[None, :]
2022-11-23T01:32:32.4486617Z 
2022-11-23T01:32:32.4486737Z     # ------ load x ------
2022-11-23T01:32:32.4486861Z     matrix_x = tl.load(x_ptrs, mask=mask_x, other=0.0)
2022-11-23T01:32:32.4486976Z     # ------ load w ------
2022-11-23T01:32:32.4487097Z     matrix_w = tl.load(w_ptrs, mask=mask_w, other=0.0)
2022-11-23T01:32:32.4487102Z 
2022-11-23T01:32:32.4487288Z     # -----------------------------------------------------------
2022-11-23T01:32:32.4487377Z     # allocate accumulator
2022-11-23T01:32:32.4487492Z     acc = tl.zeros((BLOCK_M, BLOCK_N), dtype=ACC_TYPE)
2022-11-23T01:32:32.4487634Z     for crs in range(0, CRS, BLOCK_K):
2022-11-23T01:32:32.4487640Z 
2022-11-23T01:32:32.4487796Z         # ------ matrix multiplication ------
2022-11-23T01:32:32.4487897Z         acc += tl.dot(matrix_x, matrix_w)
2022-11-23T01:32:32.4488028Z         # ------ update ptrs ------
2022-11-23T01:32:32.4488132Z         w_ptrs += BLOCK_K
2022-11-23T01:32:32.4488235Z         # load inc ptr of x, upade x_ptrs
2022-11-23T01:32:32.4488315Z         if not CONV1X1_NHWC:
2022-11-23T01:32:32.4488405Z             delta_x_ptrs += BLOCK_K
2022-11-23T01:32:32.4488528Z             off_x_crs = crs + BLOCK_K + tl.arange(0, BLOCK_K)
2022-11-23T01:32:32.4488680Z             off_x_crs_unpacked = tl.load(delta_x_ptrs, mask=off_x_crs < CRS, other=0)
2022-11-23T01:32:32.4488816Z             x_ptrs = x + off_x_nhw[:, None] + off_x_crs_unpacked[None, :]
2022-11-23T01:32:32.4488888Z         else:
2022-11-23T01:32:32.4489010Z             off_x_crs = crs + BLOCK_K + tl.arange(0, BLOCK_K)
2022-11-23T01:32:32.4489099Z             x_ptrs += BLOCK_K
2022-11-23T01:32:32.4489105Z 
2022-11-23T01:32:32.4489172Z         mask_x = (
2022-11-23T01:32:32.4489255Z             (off_x_n < BATCH)
2022-11-23T01:32:32.4489336Z             & (off_x_h >= 0)
2022-11-23T01:32:32.4489420Z             & (off_x_h < IN_H)
2022-11-23T01:32:32.4489503Z             & (off_x_w >= 0)
2022-11-23T01:32:32.4489586Z             & (off_x_w < IN_W)
2022-11-23T01:32:32.4489693Z         )[:, None] & (off_x_crs < CRS)[None, :]
2022-11-23T01:32:32.4489822Z         mask_w = (off_x_crs < CRS)[:, None] & (off_w_k < KERNEL_N)[None, :]
2022-11-23T01:32:32.4489951Z         # ------ prefetch ------
2022-11-23T01:32:32.4490070Z         # ------ load x ------
2022-11-23T01:32:32.4490197Z         matrix_x = tl.load(x_ptrs, mask=mask_x, other=0.0)
2022-11-23T01:32:32.4490315Z         # ------ load w ------
2022-11-23T01:32:32.4490440Z         matrix_w = tl.load(w_ptrs, mask=mask_w, other=0.0)
2022-11-23T01:32:32.4490445Z 
2022-11-23T01:32:32.4490563Z     acc = acc.to(out_ptr3.dtype.element_ty)
2022-11-23T01:32:32.4490568Z 
2022-11-23T01:32:32.4490572Z 
2022-11-23T01:32:32.4490670Z     XBLOCK: tl.constexpr = BLOCK_M
2022-11-23T01:32:32.4490760Z     YBLOCK: tl.constexpr = BLOCK_N
2022-11-23T01:32:32.4490913Z     xnumel = BATCH * (OUT_H + 2 * output_padding_h) * (OUT_W + 2 * output_padding_w)
2022-11-23T01:32:32.4490998Z     ynumel = KERNEL_N
2022-11-23T01:32:32.4491090Z     xoffset = pid_nhw * XBLOCK
2022-11-23T01:32:32.4491231Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4491317Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4491408Z     yoffset = pid_k * YBLOCK
2022-11-23T01:32:32.4491535Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4491620Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4491695Z     y1 = yindex
2022-11-23T01:32:32.4491766Z     x0 = xindex
2022-11-23T01:32:32.4491921Z     tmp0 = tl.load(in_ptr0 + (y1 + tl.zeros([XBLOCK, YBLOCK], tl.int32)), xmask & ymask)
2022-11-23T01:32:32.4492004Z     tmp1 = acc + tmp0
2022-11-23T01:32:32.4492167Z     tl.store(out_ptr3 + (y1 + (32*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp1, xmask & ymask)
2022-11-23T01:32:32.4492173Z 
2022-11-23T01:32:32.4492177Z 
2022-11-23T01:32:32.4492246Z     return
2022-11-23T01:32:32.4492254Z 
2022-11-23T01:32:32.4492259Z 
2022-11-23T01:32:32.4492347Z async_compile.wait(globals())
2022-11-23T01:32:32.4492427Z del async_compile
2022-11-23T01:32:32.4492432Z 
2022-11-23T01:32:32.4492509Z def call(args):
2022-11-23T01:32:32.4492599Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.4492677Z     args.clear()
2022-11-23T01:32:32.4492916Z     buf0 = empty_strided((32, 128, 32, 32), (131072, 1, 4096, 128), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4493011Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4493167Z     triton_fused_convolution0.run(arg0_1, buf0, 4096, 1024, grid=grid(4096, 1024), stream=stream0)
2022-11-23T01:32:32.4493242Z     del arg0_1
2022-11-23T01:32:32.4493506Z     buf2 = empty_strided((32, 32, 32, 32), (32768, 1, 1024, 32), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4493576Z     
2022-11-23T01:32:32.4493679Z     def grid_triton_template_1(META):
2022-11-23T01:32:32.4493752Z         return (
2022-11-23T01:32:32.4493867Z             triton.cdiv(32 * 32 * 32, META["BLOCK_M"]),
2022-11-23T01:32:32.4493989Z             triton.cdiv(32, META["BLOCK_N"]),
2022-11-23T01:32:32.4494059Z         )
2022-11-23T01:32:32.4494065Z 
2022-11-23T01:32:32.4494290Z     triton_template_1[grid_triton_template_1](buf0, arg1_1, 131072, 1, 4096, 128, 128, 1, 1, 1, 32768, 1, 1024, 32, None, 32, 128, 32, 32, 32, 1, 1, 32, 32, 1, 1, 0, 0, 1, 1, 0, 0, 1, None, arg2_1, buf2, ACC_TYPE=tl.float32, CONV1X1_NHWC=True)
2022-11-23T01:32:32.4494366Z     del arg1_1
2022-11-23T01:32:32.4494442Z     del arg2_1
2022-11-23T01:32:32.4494520Z     return (buf2, )
2022-11-23T01:32:32.4494525Z 
2022-11-23T01:32:32.4494530Z 
2022-11-23T01:32:32.4494614Z if __name__ == "__main__":
2022-11-23T01:32:32.4494740Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4494876Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4495102Z     arg0_1 = rand_strided((32, 128, 32, 32), (131072, 1024, 32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4495326Z     arg1_1 = rand_strided((32, 128, 1, 1), (128, 1, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4495525Z     arg2_1 = rand_strided((32, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4495659Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.4495664Z 
2022-11-23T01:32:32.4495739Z ok (9.279s)
2022-11-23T01:32:32.4496258Z   test_triton_mm2_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.4496338Z   warnings.warn(
2022-11-23T01:32:32.4496585Z [2022-11-23 01:30:37,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4496905Z [2022-11-23 01:30:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2272
2022-11-23T01:32:32.4497125Z [2022-11-23 01:30:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4497488Z [2022-11-23 01:30:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4497818Z [2022-11-23 01:30:37,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4498279Z [2022-11-23 01:30:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4498699Z [2022-11-23 01:30:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4499484Z [2022-11-23 01:30:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4499960Z [2022-11-23 01:30:37,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TorchVariable(<built-in method mm of type object at 0x7f209c394c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4500373Z [2022-11-23 01:30:37,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4500627Z [2022-11-23 01:30:37,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.4500867Z [2022-11-23 01:30:37,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4501141Z [2022-11-23 01:30:37,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4501386Z [2022-11-23 01:30:37,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4501572Z [2022-11-23 01:30:37,419] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4501717Z  __compiled_fn_791 <eval_with_key>.4866 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4501806Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4501894Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4502114Z call_function, mm, <built-in method mm of type object at 0x7f209c394c60>, (x, y), {}
2022-11-23T01:32:32.4502334Z call_function, relu, <built-in method relu of type object at 0x7f209c394c60>, (mm,), {}
2022-11-23T01:32:32.4502438Z output, output, output, ((relu,),), {}
2022-11-23T01:32:32.4502443Z 
2022-11-23T01:32:32.4502771Z [2022-11-23 01:30:37,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:32.4502872Z 2272           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4502973Z                2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:32.4503073Z                4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4503173Z                6 LOAD_METHOD              2 (mm)
2022-11-23T01:32:32.4503272Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4503370Z               10 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4503466Z               12 CALL_METHOD              2
2022-11-23T01:32:32.4503564Z               14 CALL_METHOD              1
2022-11-23T01:32:32.4503639Z               16 RETURN_VALUE
2022-11-23T01:32:32.4503644Z 
2022-11-23T01:32:32.4503712Z  
2022-11-23T01:32:32.4504035Z [2022-11-23 01:30:37,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:32.4504161Z 2270           0 LOAD_GLOBAL              3 (__compiled_fn_791)
2022-11-23T01:32:32.4504260Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4504356Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4504455Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4504546Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.4504629Z               10 RETURN_VALUE
2022-11-23T01:32:32.4504633Z 
2022-11-23T01:32:32.4504700Z  
2022-11-23T01:32:32.4504890Z [2022-11-23 01:30:37,420] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4504969Z  - 
2022-11-23T01:32:32.4505099Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4505171Z             {
2022-11-23T01:32:32.4505312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4505429Z                 'code': None,
2022-11-23T01:32:32.4505643Z                 'obj_weakref': <weakref at 0x7f1fead3e750; to 'Tensor' at 0x7f2072845850>
2022-11-23T01:32:32.4505899Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4505971Z             }
2022-11-23T01:32:32.4506041Z             
2022-11-23T01:32:32.4506120Z  - 
2022-11-23T01:32:32.4506245Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4506308Z             {
2022-11-23T01:32:32.4506457Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4506573Z                 'code': None,
2022-11-23T01:32:32.4506782Z                 'obj_weakref': <weakref at 0x7f20601c24d0; to 'Tensor' at 0x7f2072828590>
2022-11-23T01:32:32.4507064Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4507138Z             }
2022-11-23T01:32:32.4507207Z             
2022-11-23T01:32:32.4507278Z  - 
2022-11-23T01:32:32.4507418Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4507510Z             {
2022-11-23T01:32:32.4507639Z                 'guard_types': None,
2022-11-23T01:32:32.4507753Z                 'code': None,
2022-11-23T01:32:32.4507879Z                 'obj_weakref': None
2022-11-23T01:32:32.4507999Z                 'guarded_class': None
2022-11-23T01:32:32.4508069Z             }
2022-11-23T01:32:32.4508141Z             
2022-11-23T01:32:32.4508404Z [2022-11-23 01:30:37,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 773
2022-11-23T01:32:32.4508749Z [2022-11-23 01:30:37,430] torch._inductor.codegen.triton_template: [DEBUG] template_codegen: TemplateSchedulerNode(name='buf0') -- [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.4508968Z [2022-11-23 01:30:37,434] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.4509335Z [2022-11-23 01:30:37,440] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ll/cllhfgbjjzi7rbnph6hl425u7pd4cbwetmastu6k7j3wyfwglutt.py
2022-11-23T01:32:32.4509604Z [2022-11-23 01:30:37,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 773
2022-11-23T01:32:32.4509614Z 
2022-11-23T01:32:32.4509717Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4509786Z import torch
2022-11-23T01:32:32.4509861Z import random
2022-11-23T01:32:32.4509987Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4510116Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4510121Z 
2022-11-23T01:32:32.4510207Z aten = torch.ops.aten
2022-11-23T01:32:32.4510434Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4510545Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4510550Z 
2022-11-23T01:32:32.4510624Z import triton
2022-11-23T01:32:32.4510720Z import triton.language as tl
2022-11-23T01:32:32.4510850Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4510995Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4511001Z 
2022-11-23T01:32:32.4511146Z from torch._inductor.triton_ops.autotune import mm_heuristics
2022-11-23T01:32:32.4511284Z from torch._inductor.triton_ops.autotune import mm_autotune
2022-11-23T01:32:32.4511361Z import torch
2022-11-23T01:32:32.4511438Z import triton
2022-11-23T01:32:32.4511524Z import triton.language as tl
2022-11-23T01:32:32.4511529Z 
2022-11-23T01:32:32.4511606Z @mm_autotune()
2022-11-23T01:32:32.4511684Z @mm_heuristics()
2022-11-23T01:32:32.4511758Z @triton.jit
2022-11-23T01:32:32.4511843Z def triton_template_0(
2022-11-23T01:32:32.4511912Z     A,
2022-11-23T01:32:32.4511984Z     B,
2022-11-23T01:32:32.4512044Z     M,
2022-11-23T01:32:32.4512112Z     N,
2022-11-23T01:32:32.4512180Z     K,
2022-11-23T01:32:32.4512257Z     stride_am,
2022-11-23T01:32:32.4512332Z     stride_ak,
2022-11-23T01:32:32.4512405Z     stride_bk,
2022-11-23T01:32:32.4512471Z     stride_bn,
2022-11-23T01:32:32.4512542Z     stride_cm,
2022-11-23T01:32:32.4512617Z     stride_cn,
2022-11-23T01:32:32.4512704Z     # fusable kernels args
2022-11-23T01:32:32.4512780Z     out_ptr3,
2022-11-23T01:32:32.4512869Z     allow_tf32: tl.constexpr,
2022-11-23T01:32:32.4512949Z     BLOCK_M: tl.constexpr,
2022-11-23T01:32:32.4513035Z     BLOCK_N: tl.constexpr,
2022-11-23T01:32:32.4513120Z     BLOCK_K: tl.constexpr,
2022-11-23T01:32:32.4513208Z     GROUP_M: tl.constexpr,
2022-11-23T01:32:32.4513293Z     SPLIT_K: tl.constexpr,
2022-11-23T01:32:32.4513377Z     EVEN_K: tl.constexpr,
2022-11-23T01:32:32.4513465Z     ACC_TYPE: tl.constexpr,
2022-11-23T01:32:32.4513526Z ):
2022-11-23T01:32:32.4513615Z     # matrix multiplication
2022-11-23T01:32:32.4513703Z     pid = tl.program_id(0)
2022-11-23T01:32:32.4513792Z     pid_z = tl.program_id(1)
2022-11-23T01:32:32.4513973Z     grid_m = (M + BLOCK_M - 1) // BLOCK_M
2022-11-23T01:32:32.4514117Z     grid_n = (N + BLOCK_N - 1) // BLOCK_N
2022-11-23T01:32:32.4514282Z     # re-order program ID for better L2 performance
2022-11-23T01:32:32.4514362Z     width = GROUP_M * grid_n
2022-11-23T01:32:32.4514451Z     group_id = pid // width
2022-11-23T01:32:32.4514647Z     group_size = min(grid_m - group_id * GROUP_M, GROUP_M)
2022-11-23T01:32:32.4514765Z     pid_m = group_id * GROUP_M + (pid % group_size)
2022-11-23T01:32:32.4514869Z     pid_n = (pid % width) // (group_size)
2022-11-23T01:32:32.4514960Z     # do matrix multiplication
2022-11-23T01:32:32.4515072Z     rm = pid_m * BLOCK_M + tl.arange(0, BLOCK_M)
2022-11-23T01:32:32.4515176Z     rn = pid_n * BLOCK_N + tl.arange(0, BLOCK_N)
2022-11-23T01:32:32.4515324Z     ram = tl.max_contiguous(tl.multiple_of(rm % M, BLOCK_M), BLOCK_M)
2022-11-23T01:32:32.4515460Z     rbn = tl.max_contiguous(tl.multiple_of(rn % N, BLOCK_N), BLOCK_N)
2022-11-23T01:32:32.4515573Z     rk = pid_z * BLOCK_K + tl.arange(0, BLOCK_K)
2022-11-23T01:32:32.4515649Z     # pointers
2022-11-23T01:32:32.4515779Z     A_ptrs = A + (ram[:, None] * stride_am + rk[None, :] * stride_ak)
2022-11-23T01:32:32.4515905Z     B_ptrs = B + (rk[:, None] * stride_bk + rbn[None, :] * stride_bn)
2022-11-23T01:32:32.4516019Z     acc = tl.zeros((BLOCK_M, BLOCK_N), dtype=ACC_TYPE)
2022-11-23T01:32:32.4516172Z     for k in range(K, 0, -BLOCK_K * SPLIT_K):
2022-11-23T01:32:32.4516251Z         if EVEN_K:
2022-11-23T01:32:32.4516338Z             a = tl.load(A_ptrs)
2022-11-23T01:32:32.4516425Z             b = tl.load(B_ptrs)
2022-11-23T01:32:32.4516498Z         else:
2022-11-23T01:32:32.4516626Z             a = tl.load(A_ptrs, mask=rk[None, :] < k, other=0.0)
2022-11-23T01:32:32.4516742Z             b = tl.load(B_ptrs, mask=rk[:, None] < k, other=0.0)
2022-11-23T01:32:32.4516854Z         acc += tl.dot(a, b, allow_tf32=allow_tf32)
2022-11-23T01:32:32.4516962Z         A_ptrs += BLOCK_K * SPLIT_K * stride_ak
2022-11-23T01:32:32.4517072Z         B_ptrs += BLOCK_K * SPLIT_K * stride_bk
2022-11-23T01:32:32.4517186Z     acc = acc.to(out_ptr3.dtype.element_ty)
2022-11-23T01:32:32.4517191Z 
2022-11-23T01:32:32.4517196Z 
2022-11-23T01:32:32.4517294Z     XBLOCK: tl.constexpr = BLOCK_M
2022-11-23T01:32:32.4517392Z     YBLOCK: tl.constexpr = BLOCK_N
2022-11-23T01:32:32.4517471Z     xnumel = M
2022-11-23T01:32:32.4517537Z     ynumel = N
2022-11-23T01:32:32.4517627Z     xoffset = pid_m * XBLOCK
2022-11-23T01:32:32.4517768Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4517853Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4517941Z     yoffset = pid_n * YBLOCK
2022-11-23T01:32:32.4518074Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:32.4518160Z     ymask = yindex < ynumel
2022-11-23T01:32:32.4518225Z     x0 = xindex
2022-11-23T01:32:32.4518297Z     y1 = yindex
2022-11-23T01:32:32.4518391Z     tmp0 = tl.maximum(0, acc)
2022-11-23T01:32:32.4518557Z     tl.store(out_ptr3 + (y1 + (1024*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp0, xmask & ymask)
2022-11-23T01:32:32.4518563Z 
2022-11-23T01:32:32.4518567Z 
2022-11-23T01:32:32.4518662Z async_compile.wait(globals())
2022-11-23T01:32:32.4518742Z del async_compile
2022-11-23T01:32:32.4518747Z 
2022-11-23T01:32:32.4518824Z def call(args):
2022-11-23T01:32:32.4518908Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4518978Z     args.clear()
2022-11-23T01:32:32.4519191Z     buf1 = empty_strided((1024, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4519260Z     
2022-11-23T01:32:32.4519362Z     def grid_triton_template_0(META):
2022-11-23T01:32:32.4519436Z         return (
2022-11-23T01:32:32.4519585Z             triton.cdiv(1024, META["BLOCK_M"]) * triton.cdiv(1024, META["BLOCK_N"]),
2022-11-23T01:32:32.4519669Z             META["SPLIT_K"],
2022-11-23T01:32:32.4519732Z         )
2022-11-23T01:32:32.4519737Z 
2022-11-23T01:32:32.4519971Z     triton_template_0[grid_triton_template_0](arg0_1, arg1_1, 1024, 1024, 1024, 1024, 1, 1024, 1, 1024, 1, buf1, GROUP_M=8, ACC_TYPE=tl.float32, allow_tf32=False)
2022-11-23T01:32:32.4520049Z     del arg0_1
2022-11-23T01:32:32.4520123Z     del arg1_1
2022-11-23T01:32:32.4520204Z     return (buf1, )
2022-11-23T01:32:32.4520210Z 
2022-11-23T01:32:32.4520214Z 
2022-11-23T01:32:32.4520323Z if __name__ == "__main__":
2022-11-23T01:32:32.4520445Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4520578Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4520786Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4520998Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4521123Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4521128Z 
2022-11-23T01:32:32.4521201Z ok (5.177s)
2022-11-23T01:32:32.4521510Z   test_triu_cuda (__main__.CudaTests) ... [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4521829Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4522053Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4522311Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4522593Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4522910Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4523260Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4523588Z [2022-11-23 01:30:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4523965Z [2022-11-23 01:30:42,590] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160> 
2022-11-23T01:32:32.4524072Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4524174Z                2 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4524272Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4524370Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:32.4524467Z                8 CALL_METHOD              2
2022-11-23T01:32:32.4524559Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4524656Z               12 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4524752Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4524851Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4524946Z               18 CALL_METHOD              2
2022-11-23T01:32:32.4525044Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4525140Z               22 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4525230Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4525325Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4525419Z               28 CALL_METHOD              2
2022-11-23T01:32:32.4525515Z               30 BUILD_TUPLE              3
2022-11-23T01:32:32.4525598Z               32 RETURN_VALUE
2022-11-23T01:32:32.4525666Z  
2022-11-23T01:32:32.4525672Z 
2022-11-23T01:32:32.4525992Z [2022-11-23 01:30:42,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161
2022-11-23T01:32:32.4526216Z [2022-11-23 01:30:42,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4526549Z [2022-11-23 01:30:42,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4526807Z [2022-11-23 01:30:42,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T01:32:32.4527109Z [2022-11-23 01:30:42,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4527428Z [2022-11-23 01:30:42,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4527674Z [2022-11-23 01:30:42,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.4528001Z [2022-11-23 01:30:42,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4528282Z [2022-11-23 01:30:42,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:32.4528591Z [2022-11-23 01:30:42,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4528942Z [2022-11-23 01:30:42,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4529219Z [2022-11-23 01:30:42,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4529573Z [2022-11-23 01:30:42,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4529879Z [2022-11-23 01:30:42,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:32.4530217Z [2022-11-23 01:30:42,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4530590Z [2022-11-23 01:30:42,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4530894Z [2022-11-23 01:30:42,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4531149Z [2022-11-23 01:30:42,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4531532Z [2022-11-23 01:30:42,612] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160>
2022-11-23T01:32:32.4531787Z [2022-11-23 01:30:42,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4532031Z [2022-11-23 01:30:42,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4532292Z [2022-11-23 01:30:42,613] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4532548Z [2022-11-23 01:30:42,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4532738Z [2022-11-23 01:30:42,618] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4532881Z  __compiled_fn_792 <eval_with_key>.4872 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4532979Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4533093Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T01:32:32.4533210Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T01:32:32.4533323Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T01:32:32.4533484Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T01:32:32.4533490Z 
2022-11-23T01:32:32.4533816Z [2022-11-23 01:30:42,618] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4533952Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4534049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4534147Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4534249Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4534342Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4534439Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4534522Z              12 RETURN_VALUE
2022-11-23T01:32:32.4534528Z 
2022-11-23T01:32:32.4534588Z  
2022-11-23T01:32:32.4534905Z [2022-11-23 01:30:42,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4535029Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_792)
2022-11-23T01:32:32.4535128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4535228Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4535314Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4535412Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4535528Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4535632Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4535737Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4535823Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4535937Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4536036Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4536119Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4536228Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4536321Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4536404Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4536500Z              30 BUILD_TUPLE              3
2022-11-23T01:32:32.4536583Z              32 RETURN_VALUE
2022-11-23T01:32:32.4536588Z 
2022-11-23T01:32:32.4536658Z  
2022-11-23T01:32:32.4536846Z [2022-11-23 01:30:42,619] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4536924Z  - 
2022-11-23T01:32:32.4537042Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4537115Z             {
2022-11-23T01:32:32.4537263Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4537455Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4537580Z                 'obj_weakref': None
2022-11-23T01:32:32.4537808Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4537879Z             }
2022-11-23T01:32:32.4537941Z             
2022-11-23T01:32:32.4538022Z  - 
2022-11-23T01:32:32.4538153Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4538224Z             {
2022-11-23T01:32:32.4538372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4538485Z                 'code': None,
2022-11-23T01:32:32.4538700Z                 'obj_weakref': <weakref at 0x7f206070e5c0; to 'Tensor' at 0x7f1fead37970>
2022-11-23T01:32:32.4539144Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4539216Z             }
2022-11-23T01:32:32.4539286Z             
2022-11-23T01:32:32.4539366Z  - 
2022-11-23T01:32:32.4539504Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4539579Z             {
2022-11-23T01:32:32.4539724Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4539893Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4540019Z                 'obj_weakref': None
2022-11-23T01:32:32.4540304Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4540377Z             }
2022-11-23T01:32:32.4540447Z             
2022-11-23T01:32:32.4540524Z  - 
2022-11-23T01:32:32.4540653Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4540746Z             {
2022-11-23T01:32:32.4540893Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4541115Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4541241Z                 'obj_weakref': None
2022-11-23T01:32:32.4541470Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4541539Z             }
2022-11-23T01:32:32.4541608Z             
2022-11-23T01:32:32.4541677Z  - 
2022-11-23T01:32:32.4541815Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4541885Z             {
2022-11-23T01:32:32.4542015Z                 'guard_types': None,
2022-11-23T01:32:32.4542133Z                 'code': None,
2022-11-23T01:32:32.4542257Z                 'obj_weakref': None
2022-11-23T01:32:32.4542385Z                 'guarded_class': None
2022-11-23T01:32:32.4542447Z             }
2022-11-23T01:32:32.4542516Z             
2022-11-23T01:32:32.4542780Z [2022-11-23 01:30:42,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 774
2022-11-23T01:32:32.4543112Z [2022-11-23 01:30:42,644] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4543475Z [2022-11-23 01:30:42,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cimdnpkd3fnz6yt3p6zyvoti6qotnqnuunuzjfkkc3i2mq3bxbne.py
2022-11-23T01:32:32.4543744Z [2022-11-23 01:30:42,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 774
2022-11-23T01:32:32.4543988Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4544306Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4544527Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4544776Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4545053Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4545376Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4545720Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4546042Z [2022-11-23 01:30:42,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4546412Z [2022-11-23 01:30:42,735] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160> 
2022-11-23T01:32:32.4546519Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4546621Z                2 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4546719Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4546811Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:32.4546909Z                8 CALL_METHOD              2
2022-11-23T01:32:32.4547010Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4547107Z               12 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4547203Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4547333Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:32.4547431Z               18 CALL_METHOD              2
2022-11-23T01:32:32.4547521Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.4547620Z               22 LOAD_METHOD              1 (triu)
2022-11-23T01:32:32.4547737Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4547834Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4547929Z               28 CALL_METHOD              2
2022-11-23T01:32:32.4548025Z               30 BUILD_TUPLE              3
2022-11-23T01:32:32.4548112Z               32 RETURN_VALUE
2022-11-23T01:32:32.4548172Z  
2022-11-23T01:32:32.4548187Z 
2022-11-23T01:32:32.4548501Z [2022-11-23 01:30:42,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161
2022-11-23T01:32:32.4548720Z [2022-11-23 01:30:42,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.4549027Z [2022-11-23 01:30:42,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4549282Z [2022-11-23 01:30:42,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T01:32:32.4549565Z [2022-11-23 01:30:42,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4549885Z [2022-11-23 01:30:42,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4550133Z [2022-11-23 01:30:42,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.4550564Z [2022-11-23 01:30:42,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4550848Z [2022-11-23 01:30:42,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:32.4551153Z [2022-11-23 01:30:42,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4551493Z [2022-11-23 01:30:42,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4551766Z [2022-11-23 01:30:42,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4552120Z [2022-11-23 01:30:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.4552427Z [2022-11-23 01:30:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:32.4552754Z [2022-11-23 01:30:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:32.4553123Z [2022-11-23 01:30:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4553421Z [2022-11-23 01:30:42,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4553674Z [2022-11-23 01:30:42,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4554048Z [2022-11-23 01:30:42,756] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e99630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160>
2022-11-23T01:32:32.4554332Z [2022-11-23 01:30:42,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4554580Z [2022-11-23 01:30:42,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4554833Z [2022-11-23 01:30:42,757] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4555111Z [2022-11-23 01:30:42,762] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4555310Z [2022-11-23 01:30:42,762] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4555454Z  __compiled_fn_793 <eval_with_key>.4878 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4555551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4555664Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T01:32:32.4555778Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T01:32:32.4555891Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T01:32:32.4556007Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T01:32:32.4556013Z 
2022-11-23T01:32:32.4556346Z [2022-11-23 01:30:42,762] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4556451Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4556550Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4556645Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4556748Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4556843Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4556940Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4557016Z              12 RETURN_VALUE
2022-11-23T01:32:32.4557022Z 
2022-11-23T01:32:32.4557090Z  
2022-11-23T01:32:32.4557418Z [2022-11-23 01:30:42,762] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4557537Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_793)
2022-11-23T01:32:32.4557637Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4557736Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4557824Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4557912Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4558027Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4558140Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4558238Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4558322Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4558431Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4558528Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4558611Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4558713Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4558814Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4558898Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4558993Z              30 BUILD_TUPLE              3
2022-11-23T01:32:32.4559078Z              32 RETURN_VALUE
2022-11-23T01:32:32.4559087Z 
2022-11-23T01:32:32.4559154Z  
2022-11-23T01:32:32.4559342Z [2022-11-23 01:30:42,763] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4559412Z  - 
2022-11-23T01:32:32.4559539Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4559610Z             {
2022-11-23T01:32:32.4559758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4559948Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4560073Z                 'obj_weakref': None
2022-11-23T01:32:32.4560298Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4560362Z             }
2022-11-23T01:32:32.4560432Z             
2022-11-23T01:32:32.4560539Z  - 
2022-11-23T01:32:32.4560672Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4560742Z             {
2022-11-23T01:32:32.4560891Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4561005Z                 'code': None,
2022-11-23T01:32:32.4561231Z                 'obj_weakref': <weakref at 0x7f2115e4ddf0; to 'Tensor' at 0x7f2023229170>
2022-11-23T01:32:32.4561486Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4561559Z             }
2022-11-23T01:32:32.4561630Z             
2022-11-23T01:32:32.4561707Z  - 
2022-11-23T01:32:32.4561845Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4561918Z             {
2022-11-23T01:32:32.4562053Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4562231Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4562357Z                 'obj_weakref': None
2022-11-23T01:32:32.4562592Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4562664Z             }
2022-11-23T01:32:32.4562733Z             
2022-11-23T01:32:32.4562811Z  - 
2022-11-23T01:32:32.4562932Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4563009Z             {
2022-11-23T01:32:32.4563156Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4563375Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4563500Z                 'obj_weakref': None
2022-11-23T01:32:32.4563722Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4563793Z             }
2022-11-23T01:32:32.4563854Z             
2022-11-23T01:32:32.4563934Z  - 
2022-11-23T01:32:32.4564071Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.4564141Z             {
2022-11-23T01:32:32.4564272Z                 'guard_types': None,
2022-11-23T01:32:32.4564383Z                 'code': None,
2022-11-23T01:32:32.4564507Z                 'obj_weakref': None
2022-11-23T01:32:32.4564626Z                 'guarded_class': None
2022-11-23T01:32:32.4564695Z             }
2022-11-23T01:32:32.4564765Z             
2022-11-23T01:32:32.4565029Z [2022-11-23 01:30:42,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 775
2022-11-23T01:32:32.4565366Z [2022-11-23 01:30:42,782] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4565732Z [2022-11-23 01:30:42,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/np/cnpx4dnfuivemgv2qcgu6stntprubab2b4ycimvsioyx6gy6uihf.py
2022-11-23T01:32:32.4565997Z [2022-11-23 01:30:42,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 775
2022-11-23T01:32:32.4566003Z 
2022-11-23T01:32:32.4566109Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4566178Z import torch
2022-11-23T01:32:32.4566255Z import random
2022-11-23T01:32:32.4566379Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4566510Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4566518Z 
2022-11-23T01:32:32.4566604Z aten = torch.ops.aten
2022-11-23T01:32:32.4566746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4566847Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4566852Z 
2022-11-23T01:32:32.4566920Z import triton
2022-11-23T01:32:32.4567016Z import triton.language as tl
2022-11-23T01:32:32.4567150Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4567296Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4567302Z 
2022-11-23T01:32:32.4567306Z 
2022-11-23T01:32:32.4567488Z triton_fused_triu_2_triu_1_triu0 = async_compile.triton('''
2022-11-23T01:32:32.4567566Z import triton
2022-11-23T01:32:32.4567690Z import triton.language as tl
2022-11-23T01:32:32.4567810Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4567908Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4568045Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4568202Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4568207Z 
2022-11-23T01:32:32.4568614Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4568689Z @triton.jit
2022-11-23T01:32:32.4568847Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4568925Z     xnumel = 200
2022-11-23T01:32:32.4569025Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4569152Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4569242Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4569320Z     x0 = xindex % 10
2022-11-23T01:32:32.4569406Z     x1 = (xindex // 10) % 10
2022-11-23T01:32:32.4569480Z     x3 = xindex
2022-11-23T01:32:32.4569582Z     tmp3 = tl.load(in_ptr0 + (x3), xmask)
2022-11-23T01:32:32.4569713Z     tmp0 = (-1) + x0 + ((-1)*x1)
2022-11-23T01:32:32.4569778Z     tmp1 = 0
2022-11-23T01:32:32.4569860Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:32.4569960Z     tmp4 = tl.where(tmp2, tmp3, tmp1)
2022-11-23T01:32:32.4570072Z     tmp5 = x0 + ((-1)*x1)
2022-11-23T01:32:32.4570155Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:32.4570253Z     tmp7 = tl.where(tmp6, tmp3, tmp1)
2022-11-23T01:32:32.4570373Z     tmp8 = (-2) + x0 + ((-1)*x1)
2022-11-23T01:32:32.4570447Z     tmp9 = tmp8 >= tmp1
2022-11-23T01:32:32.4570547Z     tmp10 = tl.where(tmp9, tmp3, tmp1)
2022-11-23T01:32:32.4570685Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4570831Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.4570971Z     tl.store(out_ptr2 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.4571059Z ''')
2022-11-23T01:32:32.4571064Z 
2022-11-23T01:32:32.4571069Z 
2022-11-23T01:32:32.4571166Z async_compile.wait(globals())
2022-11-23T01:32:32.4571241Z del async_compile
2022-11-23T01:32:32.4571253Z 
2022-11-23T01:32:32.4571323Z def call(args):
2022-11-23T01:32:32.4571399Z     arg0_1, = args
2022-11-23T01:32:32.4571477Z     args.clear()
2022-11-23T01:32:32.4571691Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4571906Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4572143Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4572242Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4572420Z     triton_fused_triu_2_triu_1_triu0.run(arg0_1, buf0, buf1, buf2, 200, grid=grid(200), stream=stream0)
2022-11-23T01:32:32.4572497Z     del arg0_1
2022-11-23T01:32:32.4572587Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4572592Z 
2022-11-23T01:32:32.4572597Z 
2022-11-23T01:32:32.4572679Z if __name__ == "__main__":
2022-11-23T01:32:32.4572800Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4572935Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4573153Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4573268Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4573274Z 
2022-11-23T01:32:32.4573278Z 
2022-11-23T01:32:32.4573371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4573449Z import torch
2022-11-23T01:32:32.4573525Z import random
2022-11-23T01:32:32.4573650Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4573779Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4573784Z 
2022-11-23T01:32:32.4573926Z aten = torch.ops.aten
2022-11-23T01:32:32.4574070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4574168Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4574173Z 
2022-11-23T01:32:32.4574241Z import triton
2022-11-23T01:32:32.4574339Z import triton.language as tl
2022-11-23T01:32:32.4574492Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4574637Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4574642Z 
2022-11-23T01:32:32.4574646Z 
2022-11-23T01:32:32.4574830Z triton_fused_triu_triu_2_triu_10 = async_compile.triton('''
2022-11-23T01:32:32.4574908Z import triton
2022-11-23T01:32:32.4575002Z import triton.language as tl
2022-11-23T01:32:32.4575112Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4575221Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4575359Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4575492Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4575498Z 
2022-11-23T01:32:32.4575895Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.4575974Z @triton.jit
2022-11-23T01:32:32.4576129Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4576206Z     xnumel = 200
2022-11-23T01:32:32.4576298Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4576433Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4576520Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4576597Z     x0 = xindex % 10
2022-11-23T01:32:32.4576683Z     x1 = (xindex // 10) % 10
2022-11-23T01:32:32.4576757Z     x3 = xindex
2022-11-23T01:32:32.4576878Z     tmp3 = tl.load(in_ptr0 + (x3), xmask).to(tl.float32)
2022-11-23T01:32:32.4576994Z     tmp0 = (-1) + x0 + ((-1)*x1)
2022-11-23T01:32:32.4577069Z     tmp1 = 0
2022-11-23T01:32:32.4577151Z     tmp2 = tmp0 >= tmp1
2022-11-23T01:32:32.4577248Z     tmp4 = tl.where(tmp2, tmp3, tmp1)
2022-11-23T01:32:32.4577360Z     tmp5 = x0 + ((-1)*x1)
2022-11-23T01:32:32.4577444Z     tmp6 = tmp5 >= tmp1
2022-11-23T01:32:32.4577547Z     tmp7 = tl.where(tmp6, tmp3, tmp1)
2022-11-23T01:32:32.4577660Z     tmp8 = (-2) + x0 + ((-1)*x1)
2022-11-23T01:32:32.4577739Z     tmp9 = tmp8 >= tmp1
2022-11-23T01:32:32.4577839Z     tmp10 = tl.where(tmp9, tmp3, tmp1)
2022-11-23T01:32:32.4577977Z     tl.store(out_ptr0 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4578119Z     tl.store(out_ptr1 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.4578257Z     tl.store(out_ptr2 + (x3 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.4578346Z ''')
2022-11-23T01:32:32.4578351Z 
2022-11-23T01:32:32.4578356Z 
2022-11-23T01:32:32.4578451Z async_compile.wait(globals())
2022-11-23T01:32:32.4578525Z del async_compile
2022-11-23T01:32:32.4578530Z 
2022-11-23T01:32:32.4578608Z def call(args):
2022-11-23T01:32:32.4578683Z     arg0_1, = args
2022-11-23T01:32:32.4578761Z     args.clear()
2022-11-23T01:32:32.4579094Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4579306Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4579514Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4579600Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4579763Z     triton_fused_triu_triu_2_triu_10.run(arg0_1, buf0, buf1, buf2, 200, grid=grid(200), stream=stream0)
2022-11-23T01:32:32.4579839Z     del arg0_1
2022-11-23T01:32:32.4579931Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4579936Z 
2022-11-23T01:32:32.4579941Z 
2022-11-23T01:32:32.4580025Z if __name__ == "__main__":
2022-11-23T01:32:32.4580201Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4580333Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4580549Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4580657Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4580698Z 
2022-11-23T01:32:32.4580765Z ok (0.282s)
2022-11-23T01:32:32.4581073Z   test_unbind_cuda (__main__.CudaTests) ... [2022-11-23 01:30:42,870] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4581390Z [2022-11-23 01:30:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4581616Z [2022-11-23 01:30:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4581876Z [2022-11-23 01:30:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4582159Z [2022-11-23 01:30:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4582479Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4582824Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4583148Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4583518Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799> 
2022-11-23T01:32:32.4583624Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4583730Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:32.4583831Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4583933Z                6 CALL_METHOD              1
2022-11-23T01:32:32.4584036Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4584142Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:32.4584241Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4584380Z               14 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4584478Z               16 CALL_METHOD              2
2022-11-23T01:32:32.4584576Z               18 BUILD_TUPLE              2
2022-11-23T01:32:32.4584660Z               20 RETURN_VALUE
2022-11-23T01:32:32.4584729Z  
2022-11-23T01:32:32.4584735Z 
2022-11-23T01:32:32.4585057Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800
2022-11-23T01:32:32.4585285Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4585658Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4585982Z [2022-11-23 01:30:42,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4586342Z [2022-11-23 01:30:42,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4586592Z [2022-11-23 01:30:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:32:32.4587013Z [2022-11-23 01:30:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4587361Z [2022-11-23 01:30:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4587734Z [2022-11-23 01:30:42,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4588167Z [2022-11-23 01:30:42,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4588438Z [2022-11-23 01:30:42,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:32.4588690Z [2022-11-23 01:30:42,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4589075Z [2022-11-23 01:30:42,875] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799>
2022-11-23T01:32:32.4589325Z [2022-11-23 01:30:42,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4589571Z [2022-11-23 01:30:42,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4589825Z [2022-11-23 01:30:42,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4590079Z [2022-11-23 01:30:42,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4590332Z [2022-11-23 01:30:42,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4590492Z  __compiled_fn_794 <eval_with_key>.4884 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4590589Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4590829Z call_function, unbind, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.4591027Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T01:32:32.4591224Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T01:32:32.4591415Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T01:32:32.4591610Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T01:32:32.4591852Z call_function, unbind_1, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:32.4592051Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T01:32:32.4592249Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T01:32:32.4592447Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T01:32:32.4592646Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T01:32:32.4592834Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T01:32:32.4592840Z 
2022-11-23T01:32:32.4593171Z [2022-11-23 01:30:42,881] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4593269Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4593371Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4593466Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4593570Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4593663Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4593758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4593840Z              12 RETURN_VALUE
2022-11-23T01:32:32.4593845Z 
2022-11-23T01:32:32.4593905Z  
2022-11-23T01:32:32.4594264Z [2022-11-23 01:30:42,881] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4594383Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_794)
2022-11-23T01:32:32.4594480Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4594604Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4594688Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4594783Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4594896Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4594999Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4595096Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4595179Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4595290Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4595387Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4595468Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4595578Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4595667Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4595751Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4595859Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4595959Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4596042Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4596136Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.4596243Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4596330Z              40 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4596413Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.4596520Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4596615Z              46 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4596695Z              48 BINARY_SUBSCR
2022-11-23T01:32:32.4596805Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4596900Z              52 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4596974Z              54 BINARY_SUBSCR
2022-11-23T01:32:32.4597082Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4597181Z              58 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4597261Z              60 BINARY_SUBSCR
2022-11-23T01:32:32.4597355Z              62 BUILD_TUPLE              4
2022-11-23T01:32:32.4597448Z              64 BUILD_TUPLE              2
2022-11-23T01:32:32.4597528Z              66 RETURN_VALUE
2022-11-23T01:32:32.4597533Z 
2022-11-23T01:32:32.4597593Z  
2022-11-23T01:32:32.4597786Z [2022-11-23 01:30:42,882] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4597864Z  - 
2022-11-23T01:32:32.4597991Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4598062Z             {
2022-11-23T01:32:32.4598211Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4598408Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4598527Z                 'obj_weakref': None
2022-11-23T01:32:32.4598758Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4598827Z             }
2022-11-23T01:32:32.4598900Z             
2022-11-23T01:32:32.4598978Z  - 
2022-11-23T01:32:32.4599109Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4599179Z             {
2022-11-23T01:32:32.4599321Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4599435Z                 'code': None,
2022-11-23T01:32:32.4599652Z                 'obj_weakref': <weakref at 0x7f1f680af2e0; to 'Tensor' at 0x7f2151f18950>
2022-11-23T01:32:32.4599908Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4599978Z             }
2022-11-23T01:32:32.4600046Z             
2022-11-23T01:32:32.4600123Z  - 
2022-11-23T01:32:32.4600285Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4600355Z             {
2022-11-23T01:32:32.4600497Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4600676Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4600821Z                 'obj_weakref': None
2022-11-23T01:32:32.4601054Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4601123Z             }
2022-11-23T01:32:32.4601184Z             
2022-11-23T01:32:32.4601262Z  - 
2022-11-23T01:32:32.4601391Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4601460Z             {
2022-11-23T01:32:32.4601604Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4601824Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4601949Z                 'obj_weakref': None
2022-11-23T01:32:32.4602179Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4602242Z             }
2022-11-23T01:32:32.4602310Z             
2022-11-23T01:32:32.4602386Z  - 
2022-11-23T01:32:32.4602525Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4602594Z             {
2022-11-23T01:32:32.4602724Z                 'guard_types': None,
2022-11-23T01:32:32.4602829Z                 'code': None,
2022-11-23T01:32:32.4602953Z                 'obj_weakref': None
2022-11-23T01:32:32.4603080Z                 'guarded_class': None
2022-11-23T01:32:32.4603154Z             }
2022-11-23T01:32:32.4603226Z             
2022-11-23T01:32:32.4603493Z [2022-11-23 01:30:42,890] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 776
2022-11-23T01:32:32.4603862Z [2022-11-23 01:30:42,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5v3rjxhvwtbrqsx3lry2sqz5haqylcjylihfbg65mpxj3ycrn7.py
2022-11-23T01:32:32.4604141Z [2022-11-23 01:30:42,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 776
2022-11-23T01:32:32.4604376Z [2022-11-23 01:30:42,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4604696Z [2022-11-23 01:30:42,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4604925Z [2022-11-23 01:30:42,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4605183Z [2022-11-23 01:30:42,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4605466Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4605790Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4606140Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4606466Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4606846Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799> 
2022-11-23T01:32:32.4606952Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4607047Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:32.4607146Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4607243Z                6 CALL_METHOD              1
2022-11-23T01:32:32.4607348Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.4607477Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:32.4607576Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:32.4607724Z               14 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4607811Z               16 CALL_METHOD              2
2022-11-23T01:32:32.4607907Z               18 BUILD_TUPLE              2
2022-11-23T01:32:32.4608011Z               20 RETURN_VALUE
2022-11-23T01:32:32.4608077Z  
2022-11-23T01:32:32.4608083Z 
2022-11-23T01:32:32.4608404Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800
2022-11-23T01:32:32.4608629Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.4609001Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4609328Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4609688Z [2022-11-23 01:30:42,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4609934Z [2022-11-23 01:30:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:32:32.4610333Z [2022-11-23 01:30:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.4610683Z [2022-11-23 01:30:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.4611063Z [2022-11-23 01:30:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.4611480Z [2022-11-23 01:30:42,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4611750Z [2022-11-23 01:30:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:32.4612003Z [2022-11-23 01:30:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4612386Z [2022-11-23 01:30:42,906] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ec8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799>
2022-11-23T01:32:32.4612667Z [2022-11-23 01:30:42,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4612934Z [2022-11-23 01:30:42,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4613194Z [2022-11-23 01:30:42,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4613449Z [2022-11-23 01:30:42,912] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4613642Z [2022-11-23 01:30:42,912] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4613785Z  __compiled_fn_795 <eval_with_key>.4890 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4613880Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4614116Z call_function, unbind, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_,), {}
2022-11-23T01:32:32.4614313Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T01:32:32.4614512Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T01:32:32.4614737Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T01:32:32.4614934Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T01:32:32.4615170Z call_function, unbind_1, <built-in method unbind of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:32.4615391Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T01:32:32.4615588Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T01:32:32.4615787Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T01:32:32.4615984Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T01:32:32.4616171Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T01:32:32.4616177Z 
2022-11-23T01:32:32.4616512Z [2022-11-23 01:30:42,912] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4616615Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4616707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4616803Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4616906Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4617004Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4617099Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4617181Z              12 RETURN_VALUE
2022-11-23T01:32:32.4617186Z 
2022-11-23T01:32:32.4617254Z  
2022-11-23T01:32:32.4617580Z [2022-11-23 01:30:42,913] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4617692Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_795)
2022-11-23T01:32:32.4617790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4617892Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4617977Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4618071Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4618187Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4618298Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4618391Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4618478Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4618589Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4618687Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4618770Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4618998Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4619096Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4619171Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4619278Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4619377Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4619459Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4619555Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.4619663Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4619761Z              40 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4619835Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.4619943Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4620038Z              46 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4620121Z              48 BINARY_SUBSCR
2022-11-23T01:32:32.4620228Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4620323Z              52 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4620408Z              54 BINARY_SUBSCR
2022-11-23T01:32:32.4620517Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4620605Z              58 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4620730Z              60 BINARY_SUBSCR
2022-11-23T01:32:32.4620826Z              62 BUILD_TUPLE              4
2022-11-23T01:32:32.4620919Z              64 BUILD_TUPLE              2
2022-11-23T01:32:32.4621001Z              66 RETURN_VALUE
2022-11-23T01:32:32.4621032Z 
2022-11-23T01:32:32.4621100Z  
2022-11-23T01:32:32.4621299Z [2022-11-23 01:30:42,913] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4621367Z  - 
2022-11-23T01:32:32.4621493Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4621564Z             {
2022-11-23T01:32:32.4621718Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4621911Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4622037Z                 'obj_weakref': None
2022-11-23T01:32:32.4622265Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4622328Z             }
2022-11-23T01:32:32.4622399Z             
2022-11-23T01:32:32.4622478Z  - 
2022-11-23T01:32:32.4622611Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4622680Z             {
2022-11-23T01:32:32.4622830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4622942Z                 'code': None,
2022-11-23T01:32:32.4623152Z                 'obj_weakref': <weakref at 0x7f1ff8150220; to 'Tensor' at 0x7f2151f189a0>
2022-11-23T01:32:32.4623405Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4623474Z             }
2022-11-23T01:32:32.4623543Z             
2022-11-23T01:32:32.4623620Z  - 
2022-11-23T01:32:32.4623760Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4623833Z             {
2022-11-23T01:32:32.4623966Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4624141Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4624266Z                 'obj_weakref': None
2022-11-23T01:32:32.4624501Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4624571Z             }
2022-11-23T01:32:32.4624640Z             
2022-11-23T01:32:32.4624717Z  - 
2022-11-23T01:32:32.4624837Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4624910Z             {
2022-11-23T01:32:32.4625051Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4625274Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4625397Z                 'obj_weakref': None
2022-11-23T01:32:32.4625623Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4625693Z             }
2022-11-23T01:32:32.4625754Z             
2022-11-23T01:32:32.4625829Z  - 
2022-11-23T01:32:32.4625968Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.4626043Z             {
2022-11-23T01:32:32.4626171Z                 'guard_types': None,
2022-11-23T01:32:32.4626284Z                 'code': None,
2022-11-23T01:32:32.4626406Z                 'obj_weakref': None
2022-11-23T01:32:32.4626525Z                 'guarded_class': None
2022-11-23T01:32:32.4626601Z             }
2022-11-23T01:32:32.4626673Z             
2022-11-23T01:32:32.4626941Z [2022-11-23 01:30:42,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 777
2022-11-23T01:32:32.4627313Z [2022-11-23 01:30:42,925] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqe4jcuvyrdbq3uteukrxzyezsb4sd3x4yrcr3d3hnxjlfqqglf.py
2022-11-23T01:32:32.4627588Z [2022-11-23 01:30:42,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 777
2022-11-23T01:32:32.4627594Z 
2022-11-23T01:32:32.4627695Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4627763Z import torch
2022-11-23T01:32:32.4627838Z import random
2022-11-23T01:32:32.4627960Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4628136Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4628142Z 
2022-11-23T01:32:32.4628230Z aten = torch.ops.aten
2022-11-23T01:32:32.4628373Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4628474Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4628500Z 
2022-11-23T01:32:32.4628575Z import triton
2022-11-23T01:32:32.4628662Z import triton.language as tl
2022-11-23T01:32:32.4628794Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4628938Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4628944Z 
2022-11-23T01:32:32.4628949Z 
2022-11-23T01:32:32.4629042Z async_compile.wait(globals())
2022-11-23T01:32:32.4629122Z del async_compile
2022-11-23T01:32:32.4629127Z 
2022-11-23T01:32:32.4629202Z def call(args):
2022-11-23T01:32:32.4629277Z     arg0_1, = args
2022-11-23T01:32:32.4629355Z     args.clear()
2022-11-23T01:32:32.4629627Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T01:32:32.4629647Z 
2022-11-23T01:32:32.4629651Z 
2022-11-23T01:32:32.4629727Z if __name__ == "__main__":
2022-11-23T01:32:32.4629848Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4629979Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4630195Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4630381Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4630387Z 
2022-11-23T01:32:32.4630393Z 
2022-11-23T01:32:32.4630506Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4630594Z import torch
2022-11-23T01:32:32.4630670Z import random
2022-11-23T01:32:32.4630788Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4630915Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4630920Z 
2022-11-23T01:32:32.4631006Z aten = torch.ops.aten
2022-11-23T01:32:32.4631147Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4631252Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4631257Z 
2022-11-23T01:32:32.4631337Z import triton
2022-11-23T01:32:32.4631430Z import triton.language as tl
2022-11-23T01:32:32.4631552Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4631696Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4631702Z 
2022-11-23T01:32:32.4631706Z 
2022-11-23T01:32:32.4631799Z async_compile.wait(globals())
2022-11-23T01:32:32.4631877Z del async_compile
2022-11-23T01:32:32.4631882Z 
2022-11-23T01:32:32.4631959Z def call(args):
2022-11-23T01:32:32.4632033Z     arg0_1, = args
2022-11-23T01:32:32.4632111Z     args.clear()
2022-11-23T01:32:32.4632387Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T01:32:32.4632396Z 
2022-11-23T01:32:32.4632400Z 
2022-11-23T01:32:32.4632484Z if __name__ == "__main__":
2022-11-23T01:32:32.4632605Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4632727Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4632940Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4633056Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4633061Z 
2022-11-23T01:32:32.4633132Z ok (0.060s)
2022-11-23T01:32:32.4633495Z   test_unroll_small_reduction_cuda (__main__.CudaTests) ... [2022-11-23 01:30:42,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4633815Z [2022-11-23 01:30:42,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4634039Z [2022-11-23 01:30:42,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4634317Z [2022-11-23 01:30:42,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4634586Z [2022-11-23 01:30:42,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4634902Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4635246Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4635570Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4635938Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:32.4636042Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4636143Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:32.4636286Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4636382Z               6 CALL_METHOD              1
2022-11-23T01:32:32.4636474Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4636575Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:32.4636677Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:32.4636683Z 
2022-11-23T01:32:32.4636781Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4636881Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:32.4637021Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4637113Z              20 CALL_METHOD              1
2022-11-23T01:32:32.4637210Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4637303Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:32.4637403Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:32.4637408Z 
2022-11-23T01:32:32.4637505Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:32.4637510Z 
2022-11-23T01:32:32.4637609Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:32.4637614Z 
2022-11-23T01:32:32.4637712Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:32.4637717Z 
2022-11-23T01:32:32.4637819Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:32.4637824Z 
2022-11-23T01:32:32.4637919Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4638020Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:32.4638159Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4638245Z              42 CALL_METHOD              1
2022-11-23T01:32:32.4638250Z 
2022-11-23T01:32:32.4638347Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4638446Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4638544Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4638642Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:32.4638780Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4638873Z              54 CALL_METHOD              1
2022-11-23T01:32:32.4638878Z 
2022-11-23T01:32:32.4638965Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4639061Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:32.4639158Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4639257Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:32.4639442Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4639538Z              66 CALL_METHOD              1
2022-11-23T01:32:32.4639543Z 
2022-11-23T01:32:32.4639638Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4639739Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:32.4639890Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4639984Z              74 CALL_METHOD              1
2022-11-23T01:32:32.4639989Z 
2022-11-23T01:32:32.4640083Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4640180Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:32.4640317Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4640411Z              82 CALL_METHOD              1
2022-11-23T01:32:32.4640416Z 
2022-11-23T01:32:32.4640510Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4640611Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:32.4640745Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4640839Z              90 CALL_METHOD              1
2022-11-23T01:32:32.4640844Z 
2022-11-23T01:32:32.4640939Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4641038Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:32.4641179Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4641274Z              98 CALL_METHOD              1
2022-11-23T01:32:32.4641280Z 
2022-11-23T01:32:32.4641372Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:32.4641447Z             102 RETURN_VALUE
2022-11-23T01:32:32.4641518Z  
2022-11-23T01:32:32.4641523Z 
2022-11-23T01:32:32.4641840Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:32.4642062Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4642313Z [2022-11-23 01:30:42,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:32.4642617Z [2022-11-23 01:30:42,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:32.4642952Z [2022-11-23 01:30:42,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:32.4643217Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4643488Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4643736Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4644041Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:32.4644256Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4644498Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:32.4644779Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:32.4645096Z [2022-11-23 01:30:42,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:32.4645359Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4645633Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4645909Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:32.4646225Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:32.4646439Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:32.4646775Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:32.4647027Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4647346Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:32.4647619Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4647932Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:32.4648236Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4648543Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:32.4648867Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4649222Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4649613Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.4650041Z [2022-11-23 01:30:42,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.4650351Z [2022-11-23 01:30:42,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:32.4650697Z [2022-11-23 01:30:42,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4651068Z [2022-11-23 01:30:42,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4651491Z [2022-11-23 01:30:42,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4651865Z [2022-11-23 01:30:42,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4652274Z [2022-11-23 01:30:42,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:32.4652727Z [2022-11-23 01:30:42,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:32.4653064Z [2022-11-23 01:30:42,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:32.4653442Z [2022-11-23 01:30:42,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4653868Z [2022-11-23 01:30:42,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4654309Z [2022-11-23 01:30:42,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4654716Z [2022-11-23 01:30:42,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4655149Z [2022-11-23 01:30:42,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:32.4655619Z [2022-11-23 01:30:42,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:32.4655925Z [2022-11-23 01:30:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:32.4656321Z [2022-11-23 01:30:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4656742Z [2022-11-23 01:30:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4657201Z [2022-11-23 01:30:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:32.4657704Z [2022-11-23 01:30:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:32.4658014Z [2022-11-23 01:30:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:32.4658443Z [2022-11-23 01:30:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4659025Z [2022-11-23 01:30:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4659526Z [2022-11-23 01:30:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:32.4660101Z [2022-11-23 01:30:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:32.4660416Z [2022-11-23 01:30:42,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:32.4660898Z [2022-11-23 01:30:42,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4661380Z [2022-11-23 01:30:42,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4661900Z [2022-11-23 01:30:42,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:32.4662458Z [2022-11-23 01:30:42,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:32.4662802Z [2022-11-23 01:30:42,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:32.4663306Z [2022-11-23 01:30:42,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4663822Z [2022-11-23 01:30:42,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4664374Z [2022-11-23 01:30:42,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:32.4664954Z [2022-11-23 01:30:42,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:32.4665272Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:32.4665782Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4666036Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4666416Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:32.4666659Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4666923Z [2022-11-23 01:30:42,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4667186Z [2022-11-23 01:30:42,947] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4667444Z [2022-11-23 01:30:42,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4667661Z [2022-11-23 01:30:42,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4667807Z  __compiled_fn_796 <eval_with_key>.4896 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4667903Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4668045Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:32.4668231Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:32.4668426Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:32.4668565Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:32.4668761Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:32.4668953Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:32.4669090Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.4669265Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:32.4669400Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:32.4669571Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:32.4669709Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:32.4669859Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:32.4670008Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:32.4670147Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:32.4670383Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:32.4670598Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:32.4670605Z 
2022-11-23T01:32:32.4670963Z [2022-11-23 01:30:42,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4671059Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4671160Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4671258Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4671358Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4671451Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4671546Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4671628Z              12 RETURN_VALUE
2022-11-23T01:32:32.4671633Z 
2022-11-23T01:32:32.4671693Z  
2022-11-23T01:32:32.4672022Z [2022-11-23 01:30:42,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4672141Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_796)
2022-11-23T01:32:32.4672242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4672341Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4672425Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4672520Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4672633Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4672740Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4672844Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4672948Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4673070Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4673182Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4673264Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4673372Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4673461Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4673544Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4673698Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4673796Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4673878Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4673986Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4674104Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4674178Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4674287Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4674383Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4674463Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.4674572Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4674666Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4674747Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.4674848Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4674943Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4675028Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.4675135Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4675230Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:32.4675312Z              64 BINARY_SUBSCR
2022-11-23T01:32:32.4675426Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4675521Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:32.4675595Z              70 BINARY_SUBSCR
2022-11-23T01:32:32.4675701Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4675799Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:32.4675883Z              76 BINARY_SUBSCR
2022-11-23T01:32:32.4675980Z              78 BUILD_TUPLE             11
2022-11-23T01:32:32.4676060Z              80 RETURN_VALUE
2022-11-23T01:32:32.4676065Z 
2022-11-23T01:32:32.4676133Z  
2022-11-23T01:32:32.4676319Z [2022-11-23 01:30:42,956] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4676400Z  - 
2022-11-23T01:32:32.4676526Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4676598Z             {
2022-11-23T01:32:32.4676749Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4676944Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4677073Z                 'obj_weakref': None
2022-11-23T01:32:32.4677294Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4677365Z             }
2022-11-23T01:32:32.4677436Z             
2022-11-23T01:32:32.4677517Z  - 
2022-11-23T01:32:32.4677648Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4677720Z             {
2022-11-23T01:32:32.4677871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4677976Z                 'code': None,
2022-11-23T01:32:32.4678191Z                 'obj_weakref': <weakref at 0x7f20607898f0; to 'Tensor' at 0x7f207277c0e0>
2022-11-23T01:32:32.4678447Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4678519Z             }
2022-11-23T01:32:32.4678588Z             
2022-11-23T01:32:32.4678666Z  - 
2022-11-23T01:32:32.4678804Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4678868Z             {
2022-11-23T01:32:32.4679009Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4679187Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4679313Z                 'obj_weakref': None
2022-11-23T01:32:32.4679550Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4679619Z             }
2022-11-23T01:32:32.4679689Z             
2022-11-23T01:32:32.4679758Z  - 
2022-11-23T01:32:32.4679886Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4679956Z             {
2022-11-23T01:32:32.4680100Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4680363Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4680490Z                 'obj_weakref': None
2022-11-23T01:32:32.4680719Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4680805Z             }
2022-11-23T01:32:32.4680875Z             
2022-11-23T01:32:32.4681144Z [2022-11-23 01:30:42,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 778
2022-11-23T01:32:32.4681802Z [2022-11-23 01:30:43,023] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10')]
2022-11-23T01:32:32.4682173Z [2022-11-23 01:30:43,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ej/cejhweufwdv2x3ixz623preypg6kfuqbalrer6f7w75a2ca622wz.py
2022-11-23T01:32:32.4682442Z [2022-11-23 01:30:43,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 778
2022-11-23T01:32:32.4682686Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4683009Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4683231Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4683488Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4683762Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4684091Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4684440Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4684769Z [2022-11-23 01:30:43,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4685142Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:32.4685245Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4685347Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:32.4685493Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4685591Z               6 CALL_METHOD              1
2022-11-23T01:32:32.4685681Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4685783Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:32.4685886Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:32.4685895Z 
2022-11-23T01:32:32.4685993Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4686092Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:32.4686235Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4686328Z              20 CALL_METHOD              1
2022-11-23T01:32:32.4686417Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4686517Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:32.4686617Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:32.4686622Z 
2022-11-23T01:32:32.4686721Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:32.4686726Z 
2022-11-23T01:32:32.4686857Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:32.4686863Z 
2022-11-23T01:32:32.4686962Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:32.4686967Z 
2022-11-23T01:32:32.4687066Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:32.4687072Z 
2022-11-23T01:32:32.4687190Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4687290Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:32.4687423Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4687517Z              42 CALL_METHOD              1
2022-11-23T01:32:32.4687523Z 
2022-11-23T01:32:32.4687620Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4687718Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4687818Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4687920Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:32.4688061Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4688157Z              54 CALL_METHOD              1
2022-11-23T01:32:32.4688162Z 
2022-11-23T01:32:32.4688249Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4688346Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:32.4688442Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4688544Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:32.4688684Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4688778Z              66 CALL_METHOD              1
2022-11-23T01:32:32.4688783Z 
2022-11-23T01:32:32.4688882Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4688974Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:32.4689115Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4689209Z              74 CALL_METHOD              1
2022-11-23T01:32:32.4689214Z 
2022-11-23T01:32:32.4689313Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4689413Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:32.4689551Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4689644Z              82 CALL_METHOD              1
2022-11-23T01:32:32.4689649Z 
2022-11-23T01:32:32.4689744Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4689839Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:32.4689979Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4690072Z              90 CALL_METHOD              1
2022-11-23T01:32:32.4690077Z 
2022-11-23T01:32:32.4690172Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4690270Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:32.4690410Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4690502Z              98 CALL_METHOD              1
2022-11-23T01:32:32.4690507Z 
2022-11-23T01:32:32.4690599Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:32.4690674Z             102 RETURN_VALUE
2022-11-23T01:32:32.4690745Z  
2022-11-23T01:32:32.4690752Z 
2022-11-23T01:32:32.4691074Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:32.4691295Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4691548Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:32.4691828Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:32.4692147Z [2022-11-23 01:30:43,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:32.4692412Z [2022-11-23 01:30:43,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4692715Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4692961Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4693277Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:32.4693514Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4693761Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:32.4694041Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:32.4694358Z [2022-11-23 01:30:43,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:32.4694622Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4694898Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4695149Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:32.4695464Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:32.4695676Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:32.4695989Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:32.4696242Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4696562Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:32.4696834Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4697147Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:32.4697450Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4697756Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:32.4698079Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4698435Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4698932Z [2022-11-23 01:30:43,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.4699355Z [2022-11-23 01:30:43,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.4699666Z [2022-11-23 01:30:43,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:32.4700060Z [2022-11-23 01:30:43,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4700435Z [2022-11-23 01:30:43,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4700879Z [2022-11-23 01:30:43,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4701253Z [2022-11-23 01:30:43,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4701662Z [2022-11-23 01:30:43,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:32.4702118Z [2022-11-23 01:30:43,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:32.4702429Z [2022-11-23 01:30:43,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:32.4702807Z [2022-11-23 01:30:43,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4703207Z [2022-11-23 01:30:43,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4703647Z [2022-11-23 01:30:43,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4704051Z [2022-11-23 01:30:43,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4704490Z [2022-11-23 01:30:43,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:32.4704963Z [2022-11-23 01:30:43,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:32.4705277Z [2022-11-23 01:30:43,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:32.4705669Z [2022-11-23 01:30:43,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4706106Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4706574Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:32.4707103Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:32.4707419Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:32.4707866Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4708328Z [2022-11-23 01:30:43,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4708826Z [2022-11-23 01:30:43,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:32.4709356Z [2022-11-23 01:30:43,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:32.4709672Z [2022-11-23 01:30:43,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:32.4710127Z [2022-11-23 01:30:43,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4710699Z [2022-11-23 01:30:43,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4711215Z [2022-11-23 01:30:43,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:32.4711770Z [2022-11-23 01:30:43,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:32.4712088Z [2022-11-23 01:30:43,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:32.4712564Z [2022-11-23 01:30:43,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4713075Z [2022-11-23 01:30:43,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4713624Z [2022-11-23 01:30:43,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:32.4714230Z [2022-11-23 01:30:43,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:32.4714565Z [2022-11-23 01:30:43,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:32.4715076Z [2022-11-23 01:30:43,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4715329Z [2022-11-23 01:30:43,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4715708Z [2022-11-23 01:30:43,264] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:32.4715951Z [2022-11-23 01:30:43,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4716193Z [2022-11-23 01:30:43,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4716452Z [2022-11-23 01:30:43,266] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4716710Z [2022-11-23 01:30:43,273] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4716906Z [2022-11-23 01:30:43,273] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4717050Z  __compiled_fn_797 <eval_with_key>.4902 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4717150Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4717291Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:32.4717478Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:32.4717674Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:32.4717813Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:32.4718013Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:32.4718200Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:32.4718340Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.4718517Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:32.4718653Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:32.4718821Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:32.4718958Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:32.4719110Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:32.4719260Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:32.4719400Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:32.4719538Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:32.4719731Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:32.4719739Z 
2022-11-23T01:32:32.4720066Z [2022-11-23 01:30:43,274] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4720168Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4720267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4720361Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4720462Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4720557Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4720652Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4720736Z              12 RETURN_VALUE
2022-11-23T01:32:32.4720741Z 
2022-11-23T01:32:32.4720836Z  
2022-11-23T01:32:32.4721164Z [2022-11-23 01:30:43,274] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4721285Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_797)
2022-11-23T01:32:32.4721408Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4721506Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4721589Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4721684Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4721788Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4721897Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4721995Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4722078Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4722189Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4722289Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4722374Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4722482Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4722570Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4722657Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4722767Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4722863Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4722943Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4723051Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4723147Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4723221Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4723330Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4723428Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4723510Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.4723621Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4723717Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4723798Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.4723899Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4723997Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4724082Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.4724188Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4724284Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:32.4724368Z              64 BINARY_SUBSCR
2022-11-23T01:32:32.4724479Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4724566Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:32.4724647Z              70 BINARY_SUBSCR
2022-11-23T01:32:32.4724755Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4724858Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:32.4724940Z              76 BINARY_SUBSCR
2022-11-23T01:32:32.4725036Z              78 BUILD_TUPLE             11
2022-11-23T01:32:32.4725117Z              80 RETURN_VALUE
2022-11-23T01:32:32.4725122Z 
2022-11-23T01:32:32.4725181Z  
2022-11-23T01:32:32.4725374Z [2022-11-23 01:30:43,274] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4725450Z  - 
2022-11-23T01:32:32.4725574Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4725645Z             {
2022-11-23T01:32:32.4725793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4725985Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4726103Z                 'obj_weakref': None
2022-11-23T01:32:32.4726328Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4726399Z             }
2022-11-23T01:32:32.4726471Z             
2022-11-23T01:32:32.4726549Z  - 
2022-11-23T01:32:32.4726713Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4726786Z             {
2022-11-23T01:32:32.4726929Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4727042Z                 'code': None,
2022-11-23T01:32:32.4727264Z                 'obj_weakref': <weakref at 0x7f1ffad51ee0; to 'Tensor' at 0x7f1fd8c49210>
2022-11-23T01:32:32.4727539Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4727609Z             }
2022-11-23T01:32:32.4727679Z             
2022-11-23T01:32:32.4727757Z  - 
2022-11-23T01:32:32.4727886Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4727955Z             {
2022-11-23T01:32:32.4728096Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4728272Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4728399Z                 'obj_weakref': None
2022-11-23T01:32:32.4728638Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4728708Z             }
2022-11-23T01:32:32.4728769Z             
2022-11-23T01:32:32.4728847Z  - 
2022-11-23T01:32:32.4728977Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4729047Z             {
2022-11-23T01:32:32.4729192Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4729416Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4729540Z                 'obj_weakref': None
2022-11-23T01:32:32.4729760Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4729830Z             }
2022-11-23T01:32:32.4729898Z             
2022-11-23T01:32:32.4730165Z [2022-11-23 01:30:43,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 779
2022-11-23T01:32:32.4730832Z [2022-11-23 01:30:43,340] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10')]
2022-11-23T01:32:32.4730840Z 
2022-11-23T01:32:32.4730943Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4731018Z import torch
2022-11-23T01:32:32.4731094Z import random
2022-11-23T01:32:32.4731221Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4731341Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4731346Z 
2022-11-23T01:32:32.4731430Z aten = torch.ops.aten
2022-11-23T01:32:32.4731570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4731669Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4731675Z 
2022-11-23T01:32:32.4731750Z import triton
2022-11-23T01:32:32.4731845Z import triton.language as tl
2022-11-23T01:32:32.4731977Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4732121Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4732126Z 
2022-11-23T01:32:32.4732131Z 
2022-11-23T01:32:32.4732387Z triton_fused_max_1_gt_1_any_1_gt_logical_not_logical_not_1_min_1_amax_argmin_argmax0 = async_compile.triton('''
2022-11-23T01:32:32.4732466Z import triton
2022-11-23T01:32:32.4732560Z import triton.language as tl
2022-11-23T01:32:32.4732677Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4732782Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4732917Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4733046Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4733051Z 
2022-11-23T01:32:32.4733587Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i64', 3: '*fp32', 4: '*i64', 5: '*fp32', 6: '*i1', 7: '*i1', 8: '*i64', 9: '*i64', 10: '*fp32', 11: '*fp32', 12: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11), equal_to_1=())]})
2022-11-23T01:32:32.4733664Z @triton.jit
2022-11-23T01:32:32.4733879Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, out_ptr10, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4733976Z     xnumel = 8
2022-11-23T01:32:32.4734075Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4734210Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4734297Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4734370Z     x0 = xindex
2022-11-23T01:32:32.4734472Z     tmp0 = tl.load(in_ptr0 + (3*x0), xmask)
2022-11-23T01:32:32.4734573Z     tmp1 = tl.load(in_ptr0 + (1 + (3*x0)), xmask)
2022-11-23T01:32:32.4734678Z     tmp3 = tl.load(in_ptr0 + (2 + (3*x0)), xmask)
2022-11-23T01:32:32.4734775Z     tmp2 = tl.minimum(tmp0, tmp1)
2022-11-23T01:32:32.4734871Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:32.4734944Z     tmp5 = 0
2022-11-23T01:32:32.4735015Z     tmp6 = 1
2022-11-23T01:32:32.4735097Z     tmp7 = tmp1 < tmp0
2022-11-23T01:32:32.4735187Z     tmp8 = tl.where(tmp7, tmp6, tmp5)
2022-11-23T01:32:32.4735259Z     tmp9 = 2
2022-11-23T01:32:32.4735343Z     tmp10 = tmp3 < tmp2
2022-11-23T01:32:32.4735442Z     tmp11 = tl.where(tmp10, tmp9, tmp8)
2022-11-23T01:32:32.4735536Z     tmp12 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:32.4735633Z     tmp13 = tl.maximum(tmp12, tmp3)
2022-11-23T01:32:32.4735713Z     tmp14 = tmp1 > tmp0
2022-11-23T01:32:32.4735803Z     tmp15 = tl.where(tmp14, tmp6, tmp5)
2022-11-23T01:32:32.4735884Z     tmp16 = tmp3 > tmp12
2022-11-23T01:32:32.4735985Z     tmp17 = tl.where(tmp16, tmp9, tmp15)
2022-11-23T01:32:32.4736064Z     tmp18 = tmp0 + tmp1
2022-11-23T01:32:32.4736144Z     tmp19 = tmp18 + tmp3
2022-11-23T01:32:32.4736224Z     tmp20 = tmp0 > tmp6
2022-11-23T01:32:32.4736306Z     tmp21 = tmp20.to(tl.int64)
2022-11-23T01:32:32.4736389Z     tmp22 = (tmp21 != 0)
2022-11-23T01:32:32.4736469Z     tmp23 = tmp1 > tmp6
2022-11-23T01:32:32.4736559Z     tmp24 = tmp23.to(tl.int64)
2022-11-23T01:32:32.4736638Z     tmp25 = (tmp24 != 0)
2022-11-23T01:32:32.4736721Z     tmp26 = tmp22 | tmp25
2022-11-23T01:32:32.4736804Z     tmp27 = tmp3 > tmp6
2022-11-23T01:32:32.4736884Z     tmp28 = tmp27.to(tl.int64)
2022-11-23T01:32:32.4736963Z     tmp29 = (tmp28 != 0)
2022-11-23T01:32:32.4737046Z     tmp30 = tmp26 | tmp29
2022-11-23T01:32:32.4737126Z     tmp31 = tmp0 > tmp5
2022-11-23T01:32:32.4737206Z     tmp32 = tmp31 == 0
2022-11-23T01:32:32.4737292Z     tmp33 = tmp32.to(tl.int64)
2022-11-23T01:32:32.4737372Z     tmp34 = (tmp33 != 0)
2022-11-23T01:32:32.4737444Z     tmp35 = tmp1 > tmp5
2022-11-23T01:32:32.4737522Z     tmp36 = tmp35 == 0
2022-11-23T01:32:32.4737611Z     tmp37 = tmp36.to(tl.int64)
2022-11-23T01:32:32.4737691Z     tmp38 = (tmp37 != 0)
2022-11-23T01:32:32.4737772Z     tmp39 = tmp34 | tmp38
2022-11-23T01:32:32.4737853Z     tmp40 = tmp3 > tmp5
2022-11-23T01:32:32.4737926Z     tmp41 = tmp40 == 0
2022-11-23T01:32:32.4738012Z     tmp42 = tmp41.to(tl.int64)
2022-11-23T01:32:32.4738092Z     tmp43 = (tmp42 != 0)
2022-11-23T01:32:32.4738173Z     tmp44 = tmp39 | tmp43
2022-11-23T01:32:32.4738251Z     tmp45 = tmp44 == 0
2022-11-23T01:32:32.4738395Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4738535Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.4738666Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.4738911Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.4739046Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:32.4739177Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp30, xmask)
2022-11-23T01:32:32.4739306Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp45, xmask)
2022-11-23T01:32:32.4739479Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.4739611Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.4739743Z     tl.store(out_ptr9 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4739916Z     tl.store(out_ptr10 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.4740006Z ''')
2022-11-23T01:32:32.4740012Z 
2022-11-23T01:32:32.4740017Z 
2022-11-23T01:32:32.4740112Z async_compile.wait(globals())
2022-11-23T01:32:32.4740191Z del async_compile
2022-11-23T01:32:32.4740196Z 
2022-11-23T01:32:32.4740272Z def call(args):
2022-11-23T01:32:32.4740347Z     arg0_1, = args
2022-11-23T01:32:32.4740422Z     args.clear()
2022-11-23T01:32:32.4740617Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4740801Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4740996Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4741185Z     buf3 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4741374Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4741561Z     buf5 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4741746Z     buf6 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4741937Z     buf7 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4742126Z     buf8 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4742306Z     buf9 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4742499Z     buf10 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4742592Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4742837Z     triton_fused_max_1_gt_1_any_1_gt_logical_not_logical_not_1_min_1_amax_argmin_argmax0.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.4742913Z     del arg0_1
2022-11-23T01:32:32.4743051Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:32.4743059Z 
2022-11-23T01:32:32.4743064Z 
2022-11-23T01:32:32.4743146Z if __name__ == "__main__":
2022-11-23T01:32:32.4743270Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4743394Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4743594Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4743710Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4743715Z 
2022-11-23T01:32:32.4744078Z [2022-11-23 01:30:43,441] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k4/ck4m7pcbtljdkl6bk5vqoln7yx7qjrv2dwze6ras36kzzn77bf2p.py
2022-11-23T01:32:32.4744348Z [2022-11-23 01:30:43,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 779
2022-11-23T01:32:32.4744588Z [2022-11-23 01:30:43,445] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4744902Z [2022-11-23 01:30:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4745123Z [2022-11-23 01:30:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4745378Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4745657Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4745967Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4746337Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4746657Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4747053Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:32.4747154Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4747257Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:32.4747399Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4747494Z               6 CALL_METHOD              1
2022-11-23T01:32:32.4747592Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4747686Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:32.4747789Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:32.4747795Z 
2022-11-23T01:32:32.4747891Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4747991Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:32.4748133Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4748228Z              20 CALL_METHOD              1
2022-11-23T01:32:32.4748326Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4748418Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:32.4748516Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:32.4748522Z 
2022-11-23T01:32:32.4748619Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:32.4748624Z 
2022-11-23T01:32:32.4748723Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:32.4748728Z 
2022-11-23T01:32:32.4748823Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:32.4748829Z 
2022-11-23T01:32:32.4748929Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:32.4748934Z 
2022-11-23T01:32:32.4749031Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4749131Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:32.4749269Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4749357Z              42 CALL_METHOD              1
2022-11-23T01:32:32.4749362Z 
2022-11-23T01:32:32.4749457Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4749555Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4749653Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4749752Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:32.4749891Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4749983Z              54 CALL_METHOD              1
2022-11-23T01:32:32.4749988Z 
2022-11-23T01:32:32.4750083Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4750173Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:32.4750359Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4750472Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:32.4750621Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4750718Z              66 CALL_METHOD              1
2022-11-23T01:32:32.4750723Z 
2022-11-23T01:32:32.4750817Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4750918Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:32.4751046Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4751143Z              74 CALL_METHOD              1
2022-11-23T01:32:32.4751148Z 
2022-11-23T01:32:32.4751243Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4751343Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:32.4751478Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4751570Z              82 CALL_METHOD              1
2022-11-23T01:32:32.4751610Z 
2022-11-23T01:32:32.4751706Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4751806Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:32.4751937Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4752057Z              90 CALL_METHOD              1
2022-11-23T01:32:32.4752062Z 
2022-11-23T01:32:32.4752157Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4752256Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:32.4752392Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4752488Z              98 CALL_METHOD              1
2022-11-23T01:32:32.4752493Z 
2022-11-23T01:32:32.4752585Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:32.4752668Z             102 RETURN_VALUE
2022-11-23T01:32:32.4752728Z  
2022-11-23T01:32:32.4752733Z 
2022-11-23T01:32:32.4753053Z [2022-11-23 01:30:43,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:32.4753270Z [2022-11-23 01:30:43,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4753516Z [2022-11-23 01:30:43,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:32.4753796Z [2022-11-23 01:30:43,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:32.4754113Z [2022-11-23 01:30:43,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:32.4754380Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4754649Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4754906Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4755209Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:32.4755422Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4755670Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:32.4755947Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:32.4756263Z [2022-11-23 01:30:43,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:32.4756526Z [2022-11-23 01:30:43,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4756800Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4757056Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:32.4757370Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:32.4757595Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:32.4757900Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:32.4758153Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4758470Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:32.4758767Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4759079Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:32.4759403Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4759710Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:32.4760034Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4760390Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4760777Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.4761205Z [2022-11-23 01:30:43,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.4761518Z [2022-11-23 01:30:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:32.4761859Z [2022-11-23 01:30:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4762232Z [2022-11-23 01:30:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4762647Z [2022-11-23 01:30:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4763025Z [2022-11-23 01:30:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4763435Z [2022-11-23 01:30:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:32.4763887Z [2022-11-23 01:30:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:32.4764200Z [2022-11-23 01:30:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:32.4764574Z [2022-11-23 01:30:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4764974Z [2022-11-23 01:30:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4765413Z [2022-11-23 01:30:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4765849Z [2022-11-23 01:30:43,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4766276Z [2022-11-23 01:30:43,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:32.4766761Z [2022-11-23 01:30:43,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:32.4767067Z [2022-11-23 01:30:43,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:32.4767460Z [2022-11-23 01:30:43,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4767885Z [2022-11-23 01:30:43,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4768338Z [2022-11-23 01:30:43,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:32.4768835Z [2022-11-23 01:30:43,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:32.4769145Z [2022-11-23 01:30:43,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:32.4769561Z [2022-11-23 01:30:43,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4770025Z [2022-11-23 01:30:43,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4770521Z [2022-11-23 01:30:43,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:32.4771050Z [2022-11-23 01:30:43,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:32.4771364Z [2022-11-23 01:30:43,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:32.4771816Z [2022-11-23 01:30:43,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4772323Z [2022-11-23 01:30:43,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4772835Z [2022-11-23 01:30:43,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:32.4773410Z [2022-11-23 01:30:43,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:32.4773730Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:32.4774208Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4774718Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4775265Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:32.4775845Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:32.4776163Z [2022-11-23 01:30:43,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:32.4776678Z [2022-11-23 01:30:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4776931Z [2022-11-23 01:30:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4777309Z [2022-11-23 01:30:43,459] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:32.4777561Z [2022-11-23 01:30:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4777793Z [2022-11-23 01:30:43,459] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4778056Z [2022-11-23 01:30:43,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4778318Z [2022-11-23 01:30:43,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4778513Z [2022-11-23 01:30:43,468] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4778659Z  __compiled_fn_798 <eval_with_key>.4908 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4778755Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4779035Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:32.4779229Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:32.4779461Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:32.4779605Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:32.4779801Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:32.4779990Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:32.4780160Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.4780333Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:32.4780473Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:32.4780640Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:32.4780778Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:32.4780929Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:32.4781079Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:32.4781217Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:32.4781355Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:32.4781549Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:32.4781556Z 
2022-11-23T01:32:32.4781890Z [2022-11-23 01:30:43,468] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4781988Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4782088Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4782182Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4782285Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4782378Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4782474Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4782558Z              12 RETURN_VALUE
2022-11-23T01:32:32.4782564Z 
2022-11-23T01:32:32.4782630Z  
2022-11-23T01:32:32.4782951Z [2022-11-23 01:30:43,468] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4783071Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_798)
2022-11-23T01:32:32.4783170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4783267Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4783354Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4783449Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4783562Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4783668Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4783766Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4783851Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4783963Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4784060Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4784146Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4784258Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4784347Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4784433Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4784544Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4784641Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4784727Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4784836Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4784933Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4785008Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4785118Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4785215Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4785299Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.4785414Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4785510Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4785625Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.4785736Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4785825Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4785906Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.4786014Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4786135Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:32.4786218Z              64 BINARY_SUBSCR
2022-11-23T01:32:32.4786330Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4786426Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:32.4786502Z              70 BINARY_SUBSCR
2022-11-23T01:32:32.4786611Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4786711Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:32.4786794Z              76 BINARY_SUBSCR
2022-11-23T01:32:32.4786891Z              78 BUILD_TUPLE             11
2022-11-23T01:32:32.4786976Z              80 RETURN_VALUE
2022-11-23T01:32:32.4786982Z 
2022-11-23T01:32:32.4787049Z  
2022-11-23T01:32:32.4787233Z [2022-11-23 01:30:43,469] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4787310Z  - 
2022-11-23T01:32:32.4787438Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4787516Z             {
2022-11-23T01:32:32.4787667Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4787862Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4787987Z                 'obj_weakref': None
2022-11-23T01:32:32.4788206Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4788281Z             }
2022-11-23T01:32:32.4788353Z             
2022-11-23T01:32:32.4788431Z  - 
2022-11-23T01:32:32.4788563Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4788634Z             {
2022-11-23T01:32:32.4788783Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4788891Z                 'code': None,
2022-11-23T01:32:32.4789112Z                 'obj_weakref': <weakref at 0x7f1fd8bf82c0; to 'Tensor' at 0x7f1fd8c49210>
2022-11-23T01:32:32.4789362Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4789437Z             }
2022-11-23T01:32:32.4789506Z             
2022-11-23T01:32:32.4789586Z  - 
2022-11-23T01:32:32.4789722Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4789785Z             {
2022-11-23T01:32:32.4789926Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4790103Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4790231Z                 'obj_weakref': None
2022-11-23T01:32:32.4790567Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4790638Z             }
2022-11-23T01:32:32.4790707Z             
2022-11-23T01:32:32.4790780Z  - 
2022-11-23T01:32:32.4790909Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4790979Z             {
2022-11-23T01:32:32.4791123Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4791344Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4791471Z                 'obj_weakref': None
2022-11-23T01:32:32.4791697Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4791759Z             }
2022-11-23T01:32:32.4791830Z             
2022-11-23T01:32:32.4792099Z [2022-11-23 01:30:43,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 780
2022-11-23T01:32:32.4793045Z [2022-11-23 01:30:43,510] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf11'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.4793072Z 
2022-11-23T01:32:32.4793176Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4793253Z import torch
2022-11-23T01:32:32.4793328Z import random
2022-11-23T01:32:32.4793454Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4793581Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4793587Z 
2022-11-23T01:32:32.4793663Z aten = torch.ops.aten
2022-11-23T01:32:32.4793805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4793904Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4793909Z 
2022-11-23T01:32:32.4793985Z import triton
2022-11-23T01:32:32.4794080Z import triton.language as tl
2022-11-23T01:32:32.4794213Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4794361Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4794367Z 
2022-11-23T01:32:32.4794372Z 
2022-11-23T01:32:32.4794639Z triton_fused_any_1_logical_not_1_argmin_logical_not_argmax_amax_min_1_max_1_gt_gt_10 = async_compile.triton('''
2022-11-23T01:32:32.4794718Z import triton
2022-11-23T01:32:32.4794804Z import triton.language as tl
2022-11-23T01:32:32.4794921Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4795026Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4795165Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4795294Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4795300Z 
2022-11-23T01:32:32.4795807Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i64', 3: '*fp16', 4: '*i64', 5: '*fp16', 6: '*i1', 7: '*i1', 8: '*i64', 9: '*i64', 10: '*fp16', 11: '*fp16', 12: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11), equal_to_1=())]})
2022-11-23T01:32:32.4795886Z @triton.jit
2022-11-23T01:32:32.4796107Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, out_ptr10, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4796178Z     xnumel = 8
2022-11-23T01:32:32.4796277Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4796411Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4796496Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4796569Z     x0 = xindex
2022-11-23T01:32:32.4796692Z     tmp0 = tl.load(in_ptr0 + (3*x0), xmask).to(tl.float32)
2022-11-23T01:32:32.4796816Z     tmp1 = tl.load(in_ptr0 + (1 + (3*x0)), xmask).to(tl.float32)
2022-11-23T01:32:32.4796933Z     tmp3 = tl.load(in_ptr0 + (2 + (3*x0)), xmask).to(tl.float32)
2022-11-23T01:32:32.4797028Z     tmp2 = tl.minimum(tmp0, tmp1)
2022-11-23T01:32:32.4797124Z     tmp4 = tl.minimum(tmp2, tmp3)
2022-11-23T01:32:32.4797196Z     tmp5 = 0
2022-11-23T01:32:32.4797268Z     tmp6 = 1
2022-11-23T01:32:32.4797351Z     tmp7 = tmp1 < tmp0
2022-11-23T01:32:32.4797448Z     tmp8 = tl.where(tmp7, tmp6, tmp5)
2022-11-23T01:32:32.4797515Z     tmp9 = 2
2022-11-23T01:32:32.4797598Z     tmp10 = tmp3 < tmp2
2022-11-23T01:32:32.4797697Z     tmp11 = tl.where(tmp10, tmp9, tmp8)
2022-11-23T01:32:32.4797790Z     tmp12 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:32.4797885Z     tmp13 = tl.maximum(tmp12, tmp3)
2022-11-23T01:32:32.4797965Z     tmp14 = tmp1 > tmp0
2022-11-23T01:32:32.4798062Z     tmp15 = tl.where(tmp14, tmp6, tmp5)
2022-11-23T01:32:32.4798136Z     tmp16 = tmp3 > tmp12
2022-11-23T01:32:32.4798237Z     tmp17 = tl.where(tmp16, tmp9, tmp15)
2022-11-23T01:32:32.4798318Z     tmp18 = tmp0 + tmp1
2022-11-23T01:32:32.4798401Z     tmp19 = tmp18 + tmp3
2022-11-23T01:32:32.4798481Z     tmp20 = tmp0 > tmp6
2022-11-23T01:32:32.4798574Z     tmp21 = tmp20.to(tl.int64)
2022-11-23T01:32:32.4798684Z     tmp22 = (tmp21 != 0)
2022-11-23T01:32:32.4798757Z     tmp23 = tmp1 > tmp6
2022-11-23T01:32:32.4798846Z     tmp24 = tmp23.to(tl.int64)
2022-11-23T01:32:32.4798926Z     tmp25 = (tmp24 != 0)
2022-11-23T01:32:32.4799009Z     tmp26 = tmp22 | tmp25
2022-11-23T01:32:32.4799110Z     tmp27 = tmp3 > tmp6
2022-11-23T01:32:32.4799197Z     tmp28 = tmp27.to(tl.int64)
2022-11-23T01:32:32.4799270Z     tmp29 = (tmp28 != 0)
2022-11-23T01:32:32.4799350Z     tmp30 = tmp26 | tmp29
2022-11-23T01:32:32.4799431Z     tmp31 = tmp0 > tmp5
2022-11-23T01:32:32.4799510Z     tmp32 = tmp31 == 0
2022-11-23T01:32:32.4799601Z     tmp33 = tmp32.to(tl.int64)
2022-11-23T01:32:32.4799680Z     tmp34 = (tmp33 != 0)
2022-11-23T01:32:32.4799761Z     tmp35 = tmp1 > tmp5
2022-11-23T01:32:32.4799832Z     tmp36 = tmp35 == 0
2022-11-23T01:32:32.4799918Z     tmp37 = tmp36.to(tl.int64)
2022-11-23T01:32:32.4799998Z     tmp38 = (tmp37 != 0)
2022-11-23T01:32:32.4800080Z     tmp39 = tmp34 | tmp38
2022-11-23T01:32:32.4800162Z     tmp40 = tmp3 > tmp5
2022-11-23T01:32:32.4800240Z     tmp41 = tmp40 == 0
2022-11-23T01:32:32.4800324Z     tmp42 = tmp41.to(tl.int64)
2022-11-23T01:32:32.4800396Z     tmp43 = (tmp42 != 0)
2022-11-23T01:32:32.4800477Z     tmp44 = tmp39 | tmp43
2022-11-23T01:32:32.4800556Z     tmp45 = tmp44 == 0
2022-11-23T01:32:32.4800703Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4800843Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.4800980Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.4801112Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.4801235Z     tl.store(out_ptr4 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp19, xmask)
2022-11-23T01:32:32.4801364Z     tl.store(out_ptr5 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp30, xmask)
2022-11-23T01:32:32.4801493Z     tl.store(out_ptr6 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp45, xmask)
2022-11-23T01:32:32.4801625Z     tl.store(out_ptr7 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp11, xmask)
2022-11-23T01:32:32.4801755Z     tl.store(out_ptr8 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.4801889Z     tl.store(out_ptr9 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4802030Z     tl.store(out_ptr10 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp13, xmask)
2022-11-23T01:32:32.4802120Z ''')
2022-11-23T01:32:32.4802126Z 
2022-11-23T01:32:32.4802130Z 
2022-11-23T01:32:32.4802220Z async_compile.wait(globals())
2022-11-23T01:32:32.4802299Z del async_compile
2022-11-23T01:32:32.4802304Z 
2022-11-23T01:32:32.4802380Z def call(args):
2022-11-23T01:32:32.4802456Z     arg0_1, = args
2022-11-23T01:32:32.4802532Z     args.clear()
2022-11-23T01:32:32.4802754Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4802968Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4803166Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4803349Z     buf3 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4803541Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4803730Z     buf5 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4803915Z     buf6 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4804105Z     buf7 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4804294Z     buf8 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4804481Z     buf9 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4804667Z     buf10 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4804760Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4805030Z     triton_fused_any_1_logical_not_1_argmin_logical_not_argmax_amax_min_1_max_1_gt_gt_10.run(arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.4805108Z     del arg0_1
2022-11-23T01:32:32.4805245Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:32.4805271Z 
2022-11-23T01:32:32.4805276Z 
2022-11-23T01:32:32.4805359Z if __name__ == "__main__":
2022-11-23T01:32:32.4805484Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4805615Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4805817Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4805925Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4805930Z 
2022-11-23T01:32:32.4806292Z [2022-11-23 01:30:43,765] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dy/cdyiaijpsynyft25ycw45taf626twblda57hsdqyvcmirn6uym3w.py
2022-11-23T01:32:32.4806567Z [2022-11-23 01:30:43,765] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 780
2022-11-23T01:32:32.4813137Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.4813497Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.4813728Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.4813990Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.4814272Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.4814596Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4814943Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4815259Z [2022-11-23 01:30:43,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.4815630Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:32.4815731Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4815835Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:32.4815976Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4816072Z               6 CALL_METHOD              1
2022-11-23T01:32:32.4816170Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4816276Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:32.4816372Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:32.4816377Z 
2022-11-23T01:32:32.4816475Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4816576Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:32.4816721Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4816813Z              20 CALL_METHOD              1
2022-11-23T01:32:32.4816910Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:32.4817009Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:32.4817110Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:32.4817116Z 
2022-11-23T01:32:32.4817206Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:32.4817211Z 
2022-11-23T01:32:32.4817311Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:32.4817316Z 
2022-11-23T01:32:32.4817413Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:32.4817418Z 
2022-11-23T01:32:32.4817586Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:32.4817592Z 
2022-11-23T01:32:32.4817691Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4817791Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:32.4817958Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4818053Z              42 CALL_METHOD              1
2022-11-23T01:32:32.4818058Z 
2022-11-23T01:32:32.4818154Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4818245Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4818348Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4818448Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:32.4818588Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4818681Z              54 CALL_METHOD              1
2022-11-23T01:32:32.4818686Z 
2022-11-23T01:32:32.4818782Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4819101Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:32.4819192Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:32.4819292Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:32.4819435Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4819532Z              66 CALL_METHOD              1
2022-11-23T01:32:32.4819537Z 
2022-11-23T01:32:32.4819634Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4819735Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:32.4819874Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4819970Z              74 CALL_METHOD              1
2022-11-23T01:32:32.4819976Z 
2022-11-23T01:32:32.4820063Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4820164Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:32.4820301Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4820398Z              82 CALL_METHOD              1
2022-11-23T01:32:32.4820403Z 
2022-11-23T01:32:32.4820504Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4820605Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:32.4820745Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4820834Z              90 CALL_METHOD              1
2022-11-23T01:32:32.4820847Z 
2022-11-23T01:32:32.4820936Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4821035Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:32.4821174Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.4821267Z              98 CALL_METHOD              1
2022-11-23T01:32:32.4821272Z 
2022-11-23T01:32:32.4821365Z 806         100 BUILD_TUPLE             11
2022-11-23T01:32:32.4821451Z             102 RETURN_VALUE
2022-11-23T01:32:32.4821519Z  
2022-11-23T01:32:32.4821525Z 
2022-11-23T01:32:32.4821838Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:32:32.4822056Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4822304Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:32.4822589Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:32.4822907Z [2022-11-23 01:30:43,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:32.4823171Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4823447Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4823768Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4824091Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:32:32.4824308Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4824577Z [2022-11-23 01:30:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:32.4824860Z [2022-11-23 01:30:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:32.4825178Z [2022-11-23 01:30:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:32.4825441Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:32.4825718Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4825969Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:32.4826285Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:32:32.4826512Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:32.4826822Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:32:32.4827070Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:32.4827374Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:32:32.4827648Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4827962Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:32:32.4828269Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4828578Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:32:32.4828902Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4829257Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4829642Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:32.4830070Z [2022-11-23 01:30:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:32.4830506Z [2022-11-23 01:30:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:32:32.4830899Z [2022-11-23 01:30:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4831318Z [2022-11-23 01:30:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4831727Z [2022-11-23 01:30:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4832121Z [2022-11-23 01:30:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4832532Z [2022-11-23 01:30:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:32.4832981Z [2022-11-23 01:30:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:32.4833291Z [2022-11-23 01:30:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:32:32.4833668Z [2022-11-23 01:30:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4834063Z [2022-11-23 01:30:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4834499Z [2022-11-23 01:30:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.4834897Z [2022-11-23 01:30:43,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4835327Z [2022-11-23 01:30:43,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:32.4835798Z [2022-11-23 01:30:43,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:32.4836106Z [2022-11-23 01:30:43,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:32:32.4836498Z [2022-11-23 01:30:43,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4836925Z [2022-11-23 01:30:43,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4837392Z [2022-11-23 01:30:43,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:32.4837886Z [2022-11-23 01:30:43,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:32.4838221Z [2022-11-23 01:30:43,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:32:32.4838647Z [2022-11-23 01:30:43,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4839126Z [2022-11-23 01:30:43,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4839618Z [2022-11-23 01:30:43,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:32.4840151Z [2022-11-23 01:30:43,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:32.4840468Z [2022-11-23 01:30:43,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:32:32.4840918Z [2022-11-23 01:30:43,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4841407Z [2022-11-23 01:30:43,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4841927Z [2022-11-23 01:30:43,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:32.4842532Z [2022-11-23 01:30:43,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:32.4842848Z [2022-11-23 01:30:43,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:32:32.4843331Z [2022-11-23 01:30:43,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4843840Z [2022-11-23 01:30:43,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4844386Z [2022-11-23 01:30:43,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:32.4844990Z [2022-11-23 01:30:43,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:32.4845307Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:32:32.4845845Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4846100Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4846480Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f42080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:32.4846734Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4846975Z [2022-11-23 01:30:43,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.4847229Z [2022-11-23 01:30:43,785] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.4847486Z [2022-11-23 01:30:43,792] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.4847681Z [2022-11-23 01:30:43,793] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4847828Z  __compiled_fn_799 <eval_with_key>.4914 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4847929Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.4848072Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:32.4848266Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:32.4848462Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:32.4848593Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:32.4848790Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:32.4848979Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:32.4849121Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:32.4849295Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:32.4849431Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:32.4849607Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:32.4849745Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:32.4849888Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:32.4850036Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:32.4850177Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:32.4850316Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:32.4850507Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:32.4850513Z 
2022-11-23T01:32:32.4850845Z [2022-11-23 01:30:43,793] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4850951Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.4851051Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4851138Z               4 BUILD_MAP                0
2022-11-23T01:32:32.4851241Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.4851336Z               8 DICT_MERGE               1
2022-11-23T01:32:32.4851432Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.4851515Z              12 RETURN_VALUE
2022-11-23T01:32:32.4851521Z 
2022-11-23T01:32:32.4851587Z  
2022-11-23T01:32:32.4851955Z [2022-11-23 01:30:43,793] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.4852068Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_799)
2022-11-23T01:32:32.4852168Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.4852265Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4852371Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.4852466Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.4852580Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4852695Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4852791Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4852868Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.4852979Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4853078Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4853160Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.4853271Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4853368Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4853451Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.4853553Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4853652Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.4853734Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.4853843Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4853940Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.4854023Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.4854133Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4854221Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.4854305Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.4854412Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4854511Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:32.4854596Z              52 BINARY_SUBSCR
2022-11-23T01:32:32.4854703Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4854798Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:32.4854872Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.4854984Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4855079Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:32.4855164Z              64 BINARY_SUBSCR
2022-11-23T01:32:32.4855270Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4855365Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:32.4855446Z              70 BINARY_SUBSCR
2022-11-23T01:32:32.4855546Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4855644Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:32.4855729Z              76 BINARY_SUBSCR
2022-11-23T01:32:32.4855825Z              78 BUILD_TUPLE             11
2022-11-23T01:32:32.4855911Z              80 RETURN_VALUE
2022-11-23T01:32:32.4855916Z 
2022-11-23T01:32:32.4855984Z  
2022-11-23T01:32:32.4856179Z [2022-11-23 01:30:43,794] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4856248Z  - 
2022-11-23T01:32:32.4856375Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.4856450Z             {
2022-11-23T01:32:32.4856599Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.4856792Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.4856918Z                 'obj_weakref': None
2022-11-23T01:32:32.4857148Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.4857219Z             }
2022-11-23T01:32:32.4857281Z             
2022-11-23T01:32:32.4857358Z  - 
2022-11-23T01:32:32.4857489Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.4857559Z             {
2022-11-23T01:32:32.4857739Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4857856Z                 'code': None,
2022-11-23T01:32:32.4858066Z                 'obj_weakref': <weakref at 0x7f1fd9a8e980; to 'Tensor' at 0x7f1fd97d8f90>
2022-11-23T01:32:32.4858324Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4858415Z             }
2022-11-23T01:32:32.4858484Z             
2022-11-23T01:32:32.4858564Z  - 
2022-11-23T01:32:32.4858702Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.4858775Z             {
2022-11-23T01:32:32.4859107Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.4859288Z                 'code': ['___check_obj_id(model, 139775926397264)'],
2022-11-23T01:32:32.4859414Z                 'obj_weakref': None
2022-11-23T01:32:32.4859650Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.4859719Z             }
2022-11-23T01:32:32.4859789Z             
2022-11-23T01:32:32.4859869Z  - 
2022-11-23T01:32:32.4859990Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.4860061Z             {
2022-11-23T01:32:32.4860205Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.4860426Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.4860555Z                 'obj_weakref': None
2022-11-23T01:32:32.4860785Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.4860853Z             }
2022-11-23T01:32:32.4860915Z             
2022-11-23T01:32:32.4861183Z [2022-11-23 01:30:43,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 781
2022-11-23T01:32:32.4862091Z [2022-11-23 01:30:43,835] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3'), SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), SchedulerNode(name='buf10'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf11'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.4862107Z 
2022-11-23T01:32:32.4862200Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4862274Z import torch
2022-11-23T01:32:32.4862356Z import random
2022-11-23T01:32:32.4862479Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4862608Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4862613Z 
2022-11-23T01:32:32.4862699Z aten = torch.ops.aten
2022-11-23T01:32:32.4862839Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4862931Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4862936Z 
2022-11-23T01:32:32.4863012Z import triton
2022-11-23T01:32:32.4863106Z import triton.language as tl
2022-11-23T01:32:32.4863238Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4863383Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4863388Z 
2022-11-23T01:32:32.4863393Z 
2022-11-23T01:32:32.4863653Z triton_fused_logical_not_1_sum_1_gt_1_argmin_argmax_any_1_logical_not_max_1_amax_gt0 = async_compile.triton('''
2022-11-23T01:32:32.4863733Z import triton
2022-11-23T01:32:32.4863827Z import triton.language as tl
2022-11-23T01:32:32.4863937Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4864042Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4864179Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4864309Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4864314Z 
2022-11-23T01:32:32.4864408Z @reduction(size_hints=[8, 4],
2022-11-23T01:32:32.4864526Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4864616Z               filename=__file__,
2022-11-23T01:32:32.4865144Z               meta={'signature': {0: '*i1', 1: '*fp32', 2: '*fp32', 3: '*i64', 4: '*fp32', 5: '*i64', 6: '*fp32', 7: '*i1', 8: '*i64', 9: '*i64', 10: '*fp32', 11: '*fp32', 12: 'i32', 13: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11), equal_to_1=())]})
2022-11-23T01:32:32.4865243Z @triton.jit
2022-11-23T01:32:32.4865498Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4865575Z     xnumel = 8
2022-11-23T01:32:32.4865651Z     rnumel = 3
2022-11-23T01:32:32.4865751Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4865890Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4865979Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4866105Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4866174Z     x0 = xindex
2022-11-23T01:32:32.4866306Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:32.4866437Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:32.4866559Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:32.4866749Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.4866927Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.4867045Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:32.4867158Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4867274Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:32.4867386Z     _tmp16 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:32.4867499Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4867590Z         rindex = roffset + rbase
2022-11-23T01:32:32.4867680Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4867757Z         r1 = rindex
2022-11-23T01:32:32.4867972Z         tmp0 = tl.load(in_ptr0 + (r1 + (3*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.4868103Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 > tmp0), tmp0, _tmp1)
2022-11-23T01:32:32.4868254Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:32.4868383Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:32.4868510Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp0), tmp0, _tmp3)
2022-11-23T01:32:32.4868652Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:32.4868775Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:32.4868896Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp0, _tmp5)
2022-11-23T01:32:32.4868964Z         tmp6 = 1
2022-11-23T01:32:32.4869048Z         tmp7 = tmp0 > tmp6
2022-11-23T01:32:32.4869141Z         tmp8 = tmp7.to(tl.int64)
2022-11-23T01:32:32.4869225Z         tmp9 = (tmp8 != 0)
2022-11-23T01:32:32.4869362Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp9), tmp9, _tmp10)
2022-11-23T01:32:32.4869437Z         tmp11 = 0
2022-11-23T01:32:32.4869523Z         tmp12 = tmp0 > tmp11
2022-11-23T01:32:32.4869600Z         tmp13 = tmp12 == 0
2022-11-23T01:32:32.4869694Z         tmp14 = tmp13.to(tl.int64)
2022-11-23T01:32:32.4869778Z         tmp15 = (tmp14 != 0)
2022-11-23T01:32:32.4869911Z         _tmp16 = tl.where(xmask & rmask & (_tmp16 < tmp15), tmp15, _tmp16)
2022-11-23T01:32:32.4870030Z     tmp1 = tl.reshape(tl.min(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4870132Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:32.4870233Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:32.4870431Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:32.4870574Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:32.4870686Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:32.4870825Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:32.4870959Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:32.4871061Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:32.4871177Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4871290Z     tl.store(out_ptr2 + x0, tmp3, xmask)
2022-11-23T01:32:32.4871387Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:32.4871499Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:32.4871624Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:32.4871722Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:32.4871812Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:32.4871939Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:32.4872031Z     tl.store(out_ptr3 + x0, tmp4, xmask)
2022-11-23T01:32:32.4872145Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4872247Z     tl.store(out_ptr4 + x0, tmp5, xmask)
2022-11-23T01:32:32.4872365Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4872467Z     tl.store(out_ptr5 + x0, tmp10, xmask)
2022-11-23T01:32:32.4872586Z     tmp16 = tl.reshape(tl.max(_tmp16, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4872665Z     tmp17 = tmp2
2022-11-23T01:32:32.4872758Z     tl.store(out_ptr6 + x0, tmp17, xmask)
2022-11-23T01:32:32.4872833Z     tmp18 = tmp4
2022-11-23T01:32:32.4872931Z     tl.store(out_ptr7 + x0, tmp18, xmask)
2022-11-23T01:32:32.4873006Z     tmp19 = tmp1
2022-11-23T01:32:32.4873105Z     tl.store(out_ptr8 + x0, tmp19, xmask)
2022-11-23T01:32:32.4873181Z     tmp20 = tmp3
2022-11-23T01:32:32.4873278Z     tl.store(out_ptr9 + x0, tmp20, xmask)
2022-11-23T01:32:32.4873352Z     tmp21 = tmp16 == 0
2022-11-23T01:32:32.4873497Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp21, xmask)
2022-11-23T01:32:32.4873589Z ''')
2022-11-23T01:32:32.4873594Z 
2022-11-23T01:32:32.4873599Z 
2022-11-23T01:32:32.4873700Z async_compile.wait(globals())
2022-11-23T01:32:32.4873782Z del async_compile
2022-11-23T01:32:32.4873787Z 
2022-11-23T01:32:32.4873864Z def call(args):
2022-11-23T01:32:32.4873940Z     arg0_1, = args
2022-11-23T01:32:32.4874017Z     args.clear()
2022-11-23T01:32:32.4874210Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4874405Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4874600Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4874789Z     buf3 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4874982Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4875171Z     buf5 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4875356Z     buf6 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4875538Z     buf7 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4875726Z     buf8 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4875917Z     buf9 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4876115Z     buf10 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4876212Z     buf11 = buf6; del buf6  # reuse
2022-11-23T01:32:32.4876305Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4876547Z     triton_fused_logical_not_1_sum_1_gt_1_argmin_argmax_any_1_logical_not_max_1_amax_gt0.run(buf11, arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf7, buf8, buf9, buf10, 8, 3, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.4876622Z     del arg0_1
2022-11-23T01:32:32.4876754Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:32.4876768Z 
2022-11-23T01:32:32.4876773Z 
2022-11-23T01:32:32.4876848Z if __name__ == "__main__":
2022-11-23T01:32:32.4877002Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4877137Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4877338Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4877455Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4877481Z 
2022-11-23T01:32:32.4877849Z [2022-11-23 01:30:43,968] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bqytfmpxmag4txtsnna5vjosilwjelcdsbyuni35vxladlvol.py
2022-11-23T01:32:32.4878118Z [2022-11-23 01:30:43,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 781
2022-11-23T01:32:32.4878123Z 
2022-11-23T01:32:32.4878225Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4878294Z import torch
2022-11-23T01:32:32.4878372Z import random
2022-11-23T01:32:32.4878496Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4878623Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4878629Z 
2022-11-23T01:32:32.4878717Z aten = torch.ops.aten
2022-11-23T01:32:32.4878859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4878959Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4878964Z 
2022-11-23T01:32:32.4879040Z import triton
2022-11-23T01:32:32.4879130Z import triton.language as tl
2022-11-23T01:32:32.4879260Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4879408Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4879413Z 
2022-11-23T01:32:32.4879418Z 
2022-11-23T01:32:32.4879680Z triton_fused_logical_not_1_any_1_any_2_gt_1_sum_1_logical_not_argmax_amin_gt_argmin0 = async_compile.triton('''
2022-11-23T01:32:32.4879758Z import triton
2022-11-23T01:32:32.4879854Z import triton.language as tl
2022-11-23T01:32:32.4879970Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4880076Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4880209Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.4880338Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4880343Z 
2022-11-23T01:32:32.4880437Z @reduction(size_hints=[8, 4],
2022-11-23T01:32:32.4880556Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.4880649Z               filename=__file__,
2022-11-23T01:32:32.4881117Z               meta={'signature': {0: '*i1', 1: '*fp16', 2: '*fp16', 3: '*i64', 4: '*fp16', 5: '*i64', 6: '*fp16', 7: '*i1', 8: '*i64', 9: '*i64', 10: '*fp16', 11: '*fp16', 12: 'i32', 13: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11), equal_to_1=())]})
2022-11-23T01:32:32.4881193Z @triton.jit
2022-11-23T01:32:32.4881444Z def kernel(in_out_ptr0, in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, out_ptr4, out_ptr5, out_ptr6, out_ptr7, out_ptr8, out_ptr9, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.4881512Z     xnumel = 8
2022-11-23T01:32:32.4881590Z     rnumel = 3
2022-11-23T01:32:32.4881691Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4881831Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.4881919Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4882040Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.4882117Z     x0 = xindex
2022-11-23T01:32:32.4882238Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:32.4882368Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("inf")
2022-11-23T01:32:32.4882488Z     _tmp2_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:32.4882672Z     _tmp3 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.4882851Z     _tmp4 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + float("-inf")
2022-11-23T01:32:32.4882971Z     _tmp4_index = tl.zeros([XBLOCK, RBLOCK], tl.int64)
2022-11-23T01:32:32.4883093Z     _tmp5 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.4883242Z     _tmp10 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:32.4883351Z     _tmp16 = tl.zeros([XBLOCK, RBLOCK], tl.int1) + 0
2022-11-23T01:32:32.4883462Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.4883555Z         rindex = roffset + rbase
2022-11-23T01:32:32.4883665Z         rmask = rindex < rnumel
2022-11-23T01:32:32.4883742Z         r1 = rindex
2022-11-23T01:32:32.4883988Z         tmp0 = tl.load(in_ptr0 + (r1 + (3*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.4884121Z         _tmp1 = tl.where(xmask & rmask & (_tmp1 > tmp0), tmp0, _tmp1)
2022-11-23T01:32:32.4884262Z         _tmp2_index = tl.where(xmask & rmask & (_tmp2 > tmp0),  rindex, _tmp2_index)
2022-11-23T01:32:32.4884392Z         _tmp2 = tl.where(xmask & rmask & (_tmp2 > tmp0), tmp0, _tmp2)
2022-11-23T01:32:32.4884518Z         _tmp3 = tl.where(xmask & rmask & (_tmp3 < tmp0), tmp0, _tmp3)
2022-11-23T01:32:32.4884664Z         _tmp4_index = tl.where(xmask & rmask & (_tmp4 < tmp0),  rindex, _tmp4_index)
2022-11-23T01:32:32.4884792Z         _tmp4 = tl.where(xmask & rmask & (_tmp4 < tmp0), tmp0, _tmp4)
2022-11-23T01:32:32.4884917Z         _tmp5 = tl.where(xmask & rmask, _tmp5 + tmp0, _tmp5)
2022-11-23T01:32:32.4884994Z         tmp6 = 1
2022-11-23T01:32:32.4885080Z         tmp7 = tmp0 > tmp6
2022-11-23T01:32:32.4885164Z         tmp8 = tmp7.to(tl.int64)
2022-11-23T01:32:32.4885246Z         tmp9 = (tmp8 != 0)
2022-11-23T01:32:32.4885379Z         _tmp10 = tl.where(xmask & rmask & (_tmp10 < tmp9), tmp9, _tmp10)
2022-11-23T01:32:32.4885455Z         tmp11 = 0
2022-11-23T01:32:32.4885543Z         tmp12 = tmp0 > tmp11
2022-11-23T01:32:32.4885625Z         tmp13 = tmp12 == 0
2022-11-23T01:32:32.4885718Z         tmp14 = tmp13.to(tl.int64)
2022-11-23T01:32:32.4885795Z         tmp15 = (tmp14 != 0)
2022-11-23T01:32:32.4885930Z         _tmp16 = tl.where(xmask & rmask & (_tmp16 < tmp15), tmp15, _tmp16)
2022-11-23T01:32:32.4886048Z     tmp1 = tl.reshape(tl.min(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4886153Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:32.4886252Z     _tmp2_index_reduce = tl.reshape(
2022-11-23T01:32:32.4886365Z     	tl.argmin(_tmp2, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:32.4886492Z     _tmp2_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:32.4886586Z     	[1, RBLOCK]) == _tmp2_index_reduce)
2022-11-23T01:32:32.4886675Z     tmp2 = tl.reshape(tl.sum(
2022-11-23T01:32:32.4886802Z     	tl.where(_tmp2_index_mask, _tmp2_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:32.4886902Z     tl.store(out_ptr1 + x0, tmp2, xmask)
2022-11-23T01:32:32.4887018Z     tmp3 = tl.reshape(tl.max(_tmp3, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4887118Z     tl.store(out_ptr2 + x0, tmp3, xmask)
2022-11-23T01:32:32.4887215Z     _tmp4_index_reduce = tl.reshape(
2022-11-23T01:32:32.4887320Z     	tl.argmax(_tmp4, 1), [XBLOCK, 1]).to(tl.int32)
2022-11-23T01:32:32.4887446Z     _tmp4_index_mask = (tl.reshape(tl.arange(0, RBLOCK),
2022-11-23T01:32:32.4887546Z     	[1, RBLOCK]) == _tmp4_index_reduce)
2022-11-23T01:32:32.4887637Z     tmp4 = tl.reshape(tl.sum(
2022-11-23T01:32:32.4887767Z     	tl.where(_tmp4_index_mask, _tmp4_index, 0), 1), [XBLOCK, 1])
2022-11-23T01:32:32.4887866Z     tl.store(out_ptr3 + x0, tmp4, xmask)
2022-11-23T01:32:32.4887982Z     tmp5 = tl.reshape(tl.sum(_tmp5, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4888077Z     tl.store(out_ptr4 + x0, tmp5, xmask)
2022-11-23T01:32:32.4888195Z     tmp10 = tl.reshape(tl.max(_tmp10, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4888300Z     tl.store(out_ptr5 + x0, tmp10, xmask)
2022-11-23T01:32:32.4888417Z     tmp16 = tl.reshape(tl.max(_tmp16, 1), [XBLOCK, 1])
2022-11-23T01:32:32.4888494Z     tmp17 = tmp2
2022-11-23T01:32:32.4888595Z     tl.store(out_ptr6 + x0, tmp17, xmask)
2022-11-23T01:32:32.4888672Z     tmp18 = tmp4
2022-11-23T01:32:32.4888763Z     tl.store(out_ptr7 + x0, tmp18, xmask)
2022-11-23T01:32:32.4888838Z     tmp19 = tmp1
2022-11-23T01:32:32.4888935Z     tl.store(out_ptr8 + x0, tmp19, xmask)
2022-11-23T01:32:32.4889046Z     tmp20 = tmp3
2022-11-23T01:32:32.4889144Z     tl.store(out_ptr9 + x0, tmp20, xmask)
2022-11-23T01:32:32.4889226Z     tmp21 = tmp16 == 0
2022-11-23T01:32:32.4889371Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp21, xmask)
2022-11-23T01:32:32.4889452Z ''')
2022-11-23T01:32:32.4889479Z 
2022-11-23T01:32:32.4889492Z 
2022-11-23T01:32:32.4889582Z async_compile.wait(globals())
2022-11-23T01:32:32.4889662Z del async_compile
2022-11-23T01:32:32.4889667Z 
2022-11-23T01:32:32.4889744Z def call(args):
2022-11-23T01:32:32.4889821Z     arg0_1, = args
2022-11-23T01:32:32.4889899Z     args.clear()
2022-11-23T01:32:32.4890098Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4890289Z     buf1 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4890476Z     buf2 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4890665Z     buf3 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4890859Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4891046Z     buf5 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4891235Z     buf6 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.4891425Z     buf7 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4891615Z     buf8 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.4891806Z     buf9 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4891994Z     buf10 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4892087Z     buf11 = buf6; del buf6  # reuse
2022-11-23T01:32:32.4892186Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4892434Z     triton_fused_logical_not_1_any_1_any_2_gt_1_sum_1_logical_not_argmax_amin_gt_argmin0.run(buf11, arg0_1, buf0, buf1, buf2, buf3, buf4, buf5, buf7, buf8, buf9, buf10, 8, 3, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.4892510Z     del arg0_1
2022-11-23T01:32:32.4892649Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:32.4892654Z 
2022-11-23T01:32:32.4892659Z 
2022-11-23T01:32:32.4892747Z if __name__ == "__main__":
2022-11-23T01:32:32.4892870Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4892994Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4893197Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.4893313Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.4893318Z 
2022-11-23T01:32:32.4893392Z ok (1.043s)
2022-11-23T01:32:32.4893921Z   test_unspec_inputs_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.4894004Z   warnings.warn(
2022-11-23T01:32:32.4894246Z [2022-11-23 01:30:43,975] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4894566Z [2022-11-23 01:30:43,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4894786Z [2022-11-23 01:30:43,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4895023Z [2022-11-23 01:30:43,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4895299Z [2022-11-23 01:30:43,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4895542Z [2022-11-23 01:30:43,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4895837Z [2022-11-23 01:30:43,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4896152Z [2022-11-23 01:30:43,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4896420Z [2022-11-23 01:30:43,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4896739Z [2022-11-23 01:30:43,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4897083Z [2022-11-23 01:30:43,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4897384Z [2022-11-23 01:30:43,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4897637Z [2022-11-23 01:30:43,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4897868Z [2022-11-23 01:30:43,979] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4898113Z [2022-11-23 01:30:43,980] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4898361Z [2022-11-23 01:30:43,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4898558Z [2022-11-23 01:30:43,984] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4898702Z  __compiled_fn_800 <eval_with_key>.4920 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4898984Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4899074Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4899252Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4899414Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4899602Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4899726Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4899731Z 
2022-11-23T01:32:32.4900060Z [2022-11-23 01:30:43,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4900165Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4900264Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4900347Z                4 BINARY_ADD
2022-11-23T01:32:32.4900442Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4900529Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4900623Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4900720Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4900813Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4900902Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4901000Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4901085Z               20 RETURN_VALUE
2022-11-23T01:32:32.4901090Z 
2022-11-23T01:32:32.4901149Z  
2022-11-23T01:32:32.4901473Z [2022-11-23 01:30:43,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4901594Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_800)
2022-11-23T01:32:32.4901691Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4901786Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4901884Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4901997Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4902102Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4902198Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4902282Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4902389Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4902534Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4902620Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4902727Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4902822Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4902925Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4903023Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4903105Z               30 RETURN_VALUE
2022-11-23T01:32:32.4903110Z 
2022-11-23T01:32:32.4903176Z  
2022-11-23T01:32:32.4903369Z [2022-11-23 01:30:43,985] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4903447Z  - 
2022-11-23T01:32:32.4903576Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4903639Z             {
2022-11-23T01:32:32.4903791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4903905Z                 'code': None,
2022-11-23T01:32:32.4904131Z                 'obj_weakref': <weakref at 0x7f1fd97ecb80; to 'Tensor' at 0x7f1ffad53ba0>
2022-11-23T01:32:32.4904387Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4904457Z             }
2022-11-23T01:32:32.4904528Z             
2022-11-23T01:32:32.4904598Z  - 
2022-11-23T01:32:32.4904730Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4904802Z             {
2022-11-23T01:32:32.4904952Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4905066Z                 'code': None,
2022-11-23T01:32:32.4905283Z                 'obj_weakref': <weakref at 0x7f1fd97eee30; to 'Tensor' at 0x7f1fe0358f40>
2022-11-23T01:32:32.4905532Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4905595Z             }
2022-11-23T01:32:32.4905667Z             
2022-11-23T01:32:32.4905933Z [2022-11-23 01:30:43,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 782
2022-11-23T01:32:32.4906276Z [2022-11-23 01:30:44,005] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4906643Z [2022-11-23 01:30:44,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ih/cihvcd3y4lsgnhg6reinh2eraq2lrnnj3r5qk2r2v3pd3gwdygpg.py
2022-11-23T01:32:32.4906900Z [2022-11-23 01:30:44,013] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4907169Z [2022-11-23 01:30:44,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 782
2022-11-23T01:32:32.4907410Z [2022-11-23 01:30:44,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4907729Z [2022-11-23 01:30:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4907941Z [2022-11-23 01:30:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4908185Z [2022-11-23 01:30:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4908466Z [2022-11-23 01:30:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4908713Z [2022-11-23 01:30:44,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4908983Z [2022-11-23 01:30:44,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4909299Z [2022-11-23 01:30:44,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4909567Z [2022-11-23 01:30:44,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4909907Z [2022-11-23 01:30:44,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4910321Z [2022-11-23 01:30:44,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4910664Z [2022-11-23 01:30:44,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4910910Z [2022-11-23 01:30:44,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4911150Z [2022-11-23 01:30:44,020] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4911398Z [2022-11-23 01:30:44,021] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4911641Z [2022-11-23 01:30:44,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4911843Z [2022-11-23 01:30:44,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4911985Z  __compiled_fn_801 <eval_with_key>.4926 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4912076Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4912167Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4912335Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4912506Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4912697Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4912819Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4912825Z 
2022-11-23T01:32:32.4913156Z [2022-11-23 01:30:44,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4913256Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4913354Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4913435Z                4 BINARY_ADD
2022-11-23T01:32:32.4913524Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4913621Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4913713Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4913809Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4913906Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4914000Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4914096Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4914171Z               20 RETURN_VALUE
2022-11-23T01:32:32.4914176Z 
2022-11-23T01:32:32.4914244Z  
2022-11-23T01:32:32.4914566Z [2022-11-23 01:30:44,026] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4914686Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_801)
2022-11-23T01:32:32.4914782Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4914883Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4914981Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4915094Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4915198Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4915299Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4915384Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4915492Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4915587Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4915671Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4915783Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4915871Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4915954Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4916051Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4916163Z               30 RETURN_VALUE
2022-11-23T01:32:32.4916169Z 
2022-11-23T01:32:32.4916237Z  
2022-11-23T01:32:32.4916429Z [2022-11-23 01:30:44,027] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4916507Z  - 
2022-11-23T01:32:32.4916628Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4916726Z             {
2022-11-23T01:32:32.4916881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4916996Z                 'code': None,
2022-11-23T01:32:32.4917219Z                 'obj_weakref': <weakref at 0x7f1fd97eee30; to 'Tensor' at 0x7f1fe0358f40>
2022-11-23T01:32:32.4917476Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4917549Z             }
2022-11-23T01:32:32.4917612Z             
2022-11-23T01:32:32.4917690Z  - 
2022-11-23T01:32:32.4917816Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4917887Z             {
2022-11-23T01:32:32.4918035Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4918153Z                 'code': None,
2022-11-23T01:32:32.4918371Z                 'obj_weakref': <weakref at 0x7f1fd97ecb80; to 'Tensor' at 0x7f1ffad53ba0>
2022-11-23T01:32:32.4918612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4918687Z             }
2022-11-23T01:32:32.4918758Z             
2022-11-23T01:32:32.4919023Z [2022-11-23 01:30:44,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 783
2022-11-23T01:32:32.4919362Z [2022-11-23 01:30:44,045] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4919729Z [2022-11-23 01:30:44,053] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5t/c5tvyslv3hhairnydnw7o7mnw5qrtdeg2qoboh3l3rlrpjabzpud.py
2022-11-23T01:32:32.4919989Z [2022-11-23 01:30:44,053] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4920258Z [2022-11-23 01:30:44,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 783
2022-11-23T01:32:32.4920500Z [2022-11-23 01:30:44,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4920815Z [2022-11-23 01:30:44,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4921031Z [2022-11-23 01:30:44,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4921278Z [2022-11-23 01:30:44,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4921557Z [2022-11-23 01:30:44,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4921799Z [2022-11-23 01:30:44,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4922072Z [2022-11-23 01:30:44,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4922386Z [2022-11-23 01:30:44,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4922662Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4922961Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4923304Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4923596Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4923875Z [2022-11-23 01:30:44,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4924117Z [2022-11-23 01:30:44,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4924366Z [2022-11-23 01:30:44,061] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4924633Z [2022-11-23 01:30:44,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4924829Z [2022-11-23 01:30:44,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4924975Z  __compiled_fn_802 <eval_with_key>.4932 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4925067Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4925155Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4925320Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4925490Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4925681Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4925805Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4925811Z 
2022-11-23T01:32:32.4926136Z [2022-11-23 01:30:44,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4926238Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4926337Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4926410Z                4 BINARY_ADD
2022-11-23T01:32:32.4926511Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4926606Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4926698Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4926793Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4926887Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4926979Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4927072Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4927153Z               20 RETURN_VALUE
2022-11-23T01:32:32.4927158Z 
2022-11-23T01:32:32.4927225Z  
2022-11-23T01:32:32.4927546Z [2022-11-23 01:30:44,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4927670Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_802)
2022-11-23T01:32:32.4927766Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4927862Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4927961Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4928068Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4928181Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4928279Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4928363Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4928475Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4928571Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4928655Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4928755Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4928855Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4928940Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4929038Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4929120Z               30 RETURN_VALUE
2022-11-23T01:32:32.4929126Z 
2022-11-23T01:32:32.4929193Z  
2022-11-23T01:32:32.4929382Z [2022-11-23 01:30:44,066] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4929459Z  - 
2022-11-23T01:32:32.4929577Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4929648Z             {
2022-11-23T01:32:32.4929799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4929914Z                 'code': None,
2022-11-23T01:32:32.4930165Z                 'obj_weakref': <weakref at 0x7f201e3a67a0; to 'Tensor' at 0x7f1fe035a840>
2022-11-23T01:32:32.4930419Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4930490Z             }
2022-11-23T01:32:32.4930573Z             
2022-11-23T01:32:32.4930652Z  - 
2022-11-23T01:32:32.4930777Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4930852Z             {
2022-11-23T01:32:32.4931005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4931120Z                 'code': None,
2022-11-23T01:32:32.4931333Z                 'obj_weakref': <weakref at 0x7f1fe036b060; to 'Tensor' at 0x7f1f680ae250>
2022-11-23T01:32:32.4931572Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4931643Z             }
2022-11-23T01:32:32.4931711Z             
2022-11-23T01:32:32.4931979Z [2022-11-23 01:30:44,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 784
2022-11-23T01:32:32.4932320Z [2022-11-23 01:30:44,083] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4932689Z [2022-11-23 01:30:44,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uc/cucgec4g2jee5g6iqbxgcthi5hyligzhe75prm2pjrr7ywfvbyx2.py
2022-11-23T01:32:32.4932942Z [2022-11-23 01:30:44,091] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4933210Z [2022-11-23 01:30:44,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 784
2022-11-23T01:32:32.4933442Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4933764Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4933984Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4934228Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4934515Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4934759Z [2022-11-23 01:30:44,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4935034Z [2022-11-23 01:30:44,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4935352Z [2022-11-23 01:30:44,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4935619Z [2022-11-23 01:30:44,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4935916Z [2022-11-23 01:30:44,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4936250Z [2022-11-23 01:30:44,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4936553Z [2022-11-23 01:30:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4936809Z [2022-11-23 01:30:44,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4937049Z [2022-11-23 01:30:44,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4937299Z [2022-11-23 01:30:44,098] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4937570Z [2022-11-23 01:30:44,102] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4937769Z [2022-11-23 01:30:44,102] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4937915Z  __compiled_fn_803 <eval_with_key>.4938 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4938027Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4938107Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4938279Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4938451Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4938641Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4938760Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4938765Z 
2022-11-23T01:32:32.4939301Z [2022-11-23 01:30:44,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4939404Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4939502Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4939576Z                4 BINARY_ADD
2022-11-23T01:32:32.4939673Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4939767Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4939859Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4939955Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4940050Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4940141Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4940230Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4940314Z               20 RETURN_VALUE
2022-11-23T01:32:32.4940319Z 
2022-11-23T01:32:32.4940389Z  
2022-11-23T01:32:32.4940713Z [2022-11-23 01:30:44,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4940834Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_803)
2022-11-23T01:32:32.4940931Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4941031Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4941130Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4941236Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4941351Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4941448Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4941533Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4941641Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4941736Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4941821Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4941920Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4942014Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4942098Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4942200Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4942285Z               30 RETURN_VALUE
2022-11-23T01:32:32.4942291Z 
2022-11-23T01:32:32.4942359Z  
2022-11-23T01:32:32.4942550Z [2022-11-23 01:30:44,103] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4942622Z  - 
2022-11-23T01:32:32.4942749Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4942820Z             {
2022-11-23T01:32:32.4942970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4943083Z                 'code': None,
2022-11-23T01:32:32.4943298Z                 'obj_weakref': <weakref at 0x7f1fe036b060; to 'Tensor' at 0x7f1f680ae250>
2022-11-23T01:32:32.4943552Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4943615Z             }
2022-11-23T01:32:32.4943685Z             
2022-11-23T01:32:32.4943763Z  - 
2022-11-23T01:32:32.4943888Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4943959Z             {
2022-11-23T01:32:32.4944159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4944275Z                 'code': None,
2022-11-23T01:32:32.4944479Z                 'obj_weakref': <weakref at 0x7f201e3a67a0; to 'Tensor' at 0x7f1fe035a840>
2022-11-23T01:32:32.4944757Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4944831Z             }
2022-11-23T01:32:32.4944900Z             
2022-11-23T01:32:32.4945165Z [2022-11-23 01:30:44,109] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 785
2022-11-23T01:32:32.4945503Z [2022-11-23 01:30:44,121] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4945509Z 
2022-11-23T01:32:32.4945611Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4945692Z import torch
2022-11-23T01:32:32.4945761Z import random
2022-11-23T01:32:32.4945888Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4946017Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4946022Z 
2022-11-23T01:32:32.4946107Z aten = torch.ops.aten
2022-11-23T01:32:32.4946249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4946350Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4946356Z 
2022-11-23T01:32:32.4946432Z import triton
2022-11-23T01:32:32.4946519Z import triton.language as tl
2022-11-23T01:32:32.4946650Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4946796Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4946801Z 
2022-11-23T01:32:32.4946806Z 
2022-11-23T01:32:32.4946979Z triton_fused_add_div_mul0 = async_compile.triton('''
2022-11-23T01:32:32.4947055Z import triton
2022-11-23T01:32:32.4947152Z import triton.language as tl
2022-11-23T01:32:32.4947270Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4947378Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4947509Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4947640Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4947645Z 
2022-11-23T01:32:32.4948062Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.4948142Z @triton.jit
2022-11-23T01:32:32.4948311Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4948386Z     xnumel = 6
2022-11-23T01:32:32.4948488Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4948625Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4948703Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4948776Z     x0 = xindex
2022-11-23T01:32:32.4948881Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4948956Z     tmp1 = in_ptr1
2022-11-23T01:32:32.4949049Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:32.4949133Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.4949214Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:32.4949286Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:32.4949429Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4949569Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4949709Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.4949798Z ''')
2022-11-23T01:32:32.4949804Z 
2022-11-23T01:32:32.4949808Z 
2022-11-23T01:32:32.4949905Z async_compile.wait(globals())
2022-11-23T01:32:32.4949985Z del async_compile
2022-11-23T01:32:32.4949991Z 
2022-11-23T01:32:32.4950068Z def call(args):
2022-11-23T01:32:32.4950142Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4950221Z     args.clear()
2022-11-23T01:32:32.4950550Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4950754Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4950948Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4951083Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4951256Z     triton_fused_add_div_mul0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.4951323Z     del arg0_1
2022-11-23T01:32:32.4951400Z     del arg1_1
2022-11-23T01:32:32.4951489Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4951495Z 
2022-11-23T01:32:32.4951500Z 
2022-11-23T01:32:32.4951581Z if __name__ == "__main__":
2022-11-23T01:32:32.4951703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4951835Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4952038Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4952235Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float16)
2022-11-23T01:32:32.4952350Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4952355Z 
2022-11-23T01:32:32.4952367Z 
2022-11-23T01:32:32.4952459Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4952537Z import torch
2022-11-23T01:32:32.4952614Z import random
2022-11-23T01:32:32.4952737Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4952864Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4952869Z 
2022-11-23T01:32:32.4952953Z aten = torch.ops.aten
2022-11-23T01:32:32.4953095Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4953185Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4953190Z 
2022-11-23T01:32:32.4953265Z import triton
2022-11-23T01:32:32.4953358Z import triton.language as tl
2022-11-23T01:32:32.4953488Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4953635Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4953640Z 
2022-11-23T01:32:32.4953645Z 
2022-11-23T01:32:32.4953820Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:32.4953896Z import triton
2022-11-23T01:32:32.4953990Z import triton.language as tl
2022-11-23T01:32:32.4954101Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4954205Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4954341Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4954469Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4954474Z 
2022-11-23T01:32:32.4954890Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.4954965Z @triton.jit
2022-11-23T01:32:32.4955133Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4955207Z     xnumel = 6
2022-11-23T01:32:32.4955300Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4955432Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4955520Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4955593Z     x0 = xindex
2022-11-23T01:32:32.4955668Z     tmp0 = in_ptr0
2022-11-23T01:32:32.4955769Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.4955857Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.4955929Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.4956008Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:32.4956086Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:32.4956227Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4956362Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4956499Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.4956623Z ''')
2022-11-23T01:32:32.4956629Z 
2022-11-23T01:32:32.4956633Z 
2022-11-23T01:32:32.4956721Z async_compile.wait(globals())
2022-11-23T01:32:32.4956799Z del async_compile
2022-11-23T01:32:32.4956804Z 
2022-11-23T01:32:32.4956881Z def call(args):
2022-11-23T01:32:32.4956989Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4957067Z     args.clear()
2022-11-23T01:32:32.4957264Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4957460Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4957659Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4957744Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4957916Z     triton_fused_div_add_mul0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.4957991Z     del arg0_1
2022-11-23T01:32:32.4958065Z     del arg1_1
2022-11-23T01:32:32.4958155Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4958160Z 
2022-11-23T01:32:32.4958165Z 
2022-11-23T01:32:32.4958247Z if __name__ == "__main__":
2022-11-23T01:32:32.4958370Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4958493Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4958687Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float16)
2022-11-23T01:32:32.4958885Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4959008Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4959013Z 
2022-11-23T01:32:32.4959018Z 
2022-11-23T01:32:32.4959116Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.4959193Z import torch
2022-11-23T01:32:32.4959272Z import random
2022-11-23T01:32:32.4959394Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.4959514Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.4959519Z 
2022-11-23T01:32:32.4959605Z aten = torch.ops.aten
2022-11-23T01:32:32.4959747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.4959844Z async_compile = AsyncCompile()
2022-11-23T01:32:32.4959849Z 
2022-11-23T01:32:32.4959925Z import triton
2022-11-23T01:32:32.4960019Z import triton.language as tl
2022-11-23T01:32:32.4960154Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.4960298Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.4960304Z 
2022-11-23T01:32:32.4960308Z 
2022-11-23T01:32:32.4960469Z triton_fused_mul_add_div0 = async_compile.triton('''
2022-11-23T01:32:32.4960544Z import triton
2022-11-23T01:32:32.4960640Z import triton.language as tl
2022-11-23T01:32:32.4960756Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.4960860Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.4960998Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.4961125Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.4961132Z 
2022-11-23T01:32:32.4961546Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.4961616Z @triton.jit
2022-11-23T01:32:32.4961781Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.4961856Z     xnumel = 6
2022-11-23T01:32:32.4961955Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.4962088Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.4962172Z     xmask = xindex < xnumel
2022-11-23T01:32:32.4962246Z     x0 = xindex
2022-11-23T01:32:32.4962338Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.4962416Z     tmp1 = in_ptr1
2022-11-23T01:32:32.4962506Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:32.4962586Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.4962693Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:32.4962778Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:32.4962916Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.4963045Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.4963203Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.4963289Z ''')
2022-11-23T01:32:32.4963294Z 
2022-11-23T01:32:32.4963298Z 
2022-11-23T01:32:32.4963394Z async_compile.wait(globals())
2022-11-23T01:32:32.4963472Z del async_compile
2022-11-23T01:32:32.4963477Z 
2022-11-23T01:32:32.4963555Z def call(args):
2022-11-23T01:32:32.4963637Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.4963714Z     args.clear()
2022-11-23T01:32:32.4963908Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4964104Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4964301Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4964396Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.4964568Z     triton_fused_mul_add_div0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.4964644Z     del arg0_1
2022-11-23T01:32:32.4964717Z     del arg1_1
2022-11-23T01:32:32.4964798Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.4964810Z 
2022-11-23T01:32:32.4964815Z 
2022-11-23T01:32:32.4964889Z if __name__ == "__main__":
2022-11-23T01:32:32.4965011Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.4965141Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.4965342Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.4965535Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:32.4965656Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.4965661Z 
2022-11-23T01:32:32.4966025Z [2022-11-23 01:30:44,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/td/ctdkta23gb3clch7qvo7qbfg45s4redy2kn5hysscfyv3d6jgyga.py
2022-11-23T01:32:32.4966280Z [2022-11-23 01:30:44,128] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4966543Z [2022-11-23 01:30:44,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 785
2022-11-23T01:32:32.4966783Z [2022-11-23 01:30:44,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4967105Z [2022-11-23 01:30:44,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4967323Z [2022-11-23 01:30:44,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4967566Z [2022-11-23 01:30:44,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4967848Z [2022-11-23 01:30:44,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4968096Z [2022-11-23 01:30:44,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4968368Z [2022-11-23 01:30:44,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4968686Z [2022-11-23 01:30:44,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4968950Z [2022-11-23 01:30:44,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4969237Z [2022-11-23 01:30:44,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4969607Z [2022-11-23 01:30:44,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4969909Z [2022-11-23 01:30:44,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4970185Z [2022-11-23 01:30:44,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4970423Z [2022-11-23 01:30:44,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4970671Z [2022-11-23 01:30:44,135] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4970915Z [2022-11-23 01:30:44,139] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4971111Z [2022-11-23 01:30:44,139] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4971254Z  __compiled_fn_804 <eval_with_key>.4944 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4971339Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4971427Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4971597Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4971766Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4971957Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4972077Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4972082Z 
2022-11-23T01:32:32.4972409Z [2022-11-23 01:30:44,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4972509Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4972600Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4972680Z                4 BINARY_ADD
2022-11-23T01:32:32.4972777Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4972871Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4972963Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4973060Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4973153Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4973235Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4973336Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4973421Z               20 RETURN_VALUE
2022-11-23T01:32:32.4973427Z 
2022-11-23T01:32:32.4973493Z  
2022-11-23T01:32:32.4973813Z [2022-11-23 01:30:44,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4973932Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_804)
2022-11-23T01:32:32.4974028Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4974124Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4974215Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4974335Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4974446Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4974541Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4974624Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4974734Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4974828Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4974903Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4975009Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4975104Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4975186Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4975282Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4975363Z               30 RETURN_VALUE
2022-11-23T01:32:32.4975368Z 
2022-11-23T01:32:32.4975435Z  
2022-11-23T01:32:32.4975618Z [2022-11-23 01:30:44,140] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4975722Z  - 
2022-11-23T01:32:32.4975850Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4975920Z             {
2022-11-23T01:32:32.4976068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4976181Z                 'code': None,
2022-11-23T01:32:32.4976423Z                 'obj_weakref': <weakref at 0x7f1fd80ecd60; to 'Tensor' at 0x7f1fd81a0220>
2022-11-23T01:32:32.4976668Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4976738Z             }
2022-11-23T01:32:32.4976806Z             
2022-11-23T01:32:32.4976884Z  - 
2022-11-23T01:32:32.4977009Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4977078Z             {
2022-11-23T01:32:32.4977226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4977331Z                 'code': None,
2022-11-23T01:32:32.4977541Z                 'obj_weakref': <weakref at 0x7f1fd810c720; to 'Tensor' at 0x7f1fd81a3e70>
2022-11-23T01:32:32.4977789Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4977859Z             }
2022-11-23T01:32:32.4977928Z             
2022-11-23T01:32:32.4978189Z [2022-11-23 01:30:44,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 786
2022-11-23T01:32:32.4978523Z [2022-11-23 01:30:44,156] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4979080Z [2022-11-23 01:30:44,163] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tf/ctfqyzpdllvdy7i7qb2dxdqigt5e5gg4dgnheyg4fdgrcvisblwj.py
2022-11-23T01:32:32.4979327Z [2022-11-23 01:30:44,164] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4979595Z [2022-11-23 01:30:44,164] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 786
2022-11-23T01:32:32.4979839Z [2022-11-23 01:30:44,166] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4980156Z [2022-11-23 01:30:44,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4980373Z [2022-11-23 01:30:44,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4980611Z [2022-11-23 01:30:44,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4980888Z [2022-11-23 01:30:44,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4981131Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4981400Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4981714Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4981975Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4982272Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4982613Z [2022-11-23 01:30:44,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4982914Z [2022-11-23 01:30:44,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4983165Z [2022-11-23 01:30:44,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4983459Z [2022-11-23 01:30:44,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4983711Z [2022-11-23 01:30:44,170] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4983955Z [2022-11-23 01:30:44,174] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4984181Z [2022-11-23 01:30:44,174] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4984319Z  __compiled_fn_805 <eval_with_key>.4950 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4984409Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4984494Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4984668Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4984839Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4985027Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4985145Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4985151Z 
2022-11-23T01:32:32.4985479Z [2022-11-23 01:30:44,175] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4985571Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4985672Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4985752Z                4 BINARY_ADD
2022-11-23T01:32:32.4985849Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4985942Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4986029Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4986126Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4986212Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4986302Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4986399Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4986480Z               20 RETURN_VALUE
2022-11-23T01:32:32.4986485Z 
2022-11-23T01:32:32.4986553Z  
2022-11-23T01:32:32.4986873Z [2022-11-23 01:30:44,175] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4986999Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_805)
2022-11-23T01:32:32.4987097Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4987185Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4987283Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.4987398Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.4987508Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4987603Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.4987688Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.4987795Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4987881Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.4987967Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.4988074Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.4988168Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.4988254Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.4988352Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.4988434Z               30 RETURN_VALUE
2022-11-23T01:32:32.4988439Z 
2022-11-23T01:32:32.4988505Z  
2022-11-23T01:32:32.4988686Z [2022-11-23 01:30:44,175] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.4988763Z  - 
2022-11-23T01:32:32.4988891Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.4988964Z             {
2022-11-23T01:32:32.4989112Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4989224Z                 'code': None,
2022-11-23T01:32:32.4989434Z                 'obj_weakref': <weakref at 0x7f1fd810c720; to 'Tensor' at 0x7f1fd81a3e70>
2022-11-23T01:32:32.4989714Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4989787Z             }
2022-11-23T01:32:32.4989858Z             
2022-11-23T01:32:32.4989936Z  - 
2022-11-23T01:32:32.4990060Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.4990131Z             {
2022-11-23T01:32:32.4990359Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.4990489Z                 'code': None,
2022-11-23T01:32:32.4990708Z                 'obj_weakref': <weakref at 0x7f1fd80ecd60; to 'Tensor' at 0x7f1fd81a0220>
2022-11-23T01:32:32.4990954Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.4991026Z             }
2022-11-23T01:32:32.4991096Z             
2022-11-23T01:32:32.4991361Z [2022-11-23 01:30:44,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 787
2022-11-23T01:32:32.4991701Z [2022-11-23 01:30:44,191] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.4992069Z [2022-11-23 01:30:44,198] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xf/cxfmaj47m7russwo6kmowlytnpizzys2owqwjky3kjsnadl3y7lt.py
2022-11-23T01:32:32.4992318Z [2022-11-23 01:30:44,199] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.4992584Z [2022-11-23 01:30:44,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 787
2022-11-23T01:32:32.4992820Z [2022-11-23 01:30:44,202] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.4993140Z [2022-11-23 01:30:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.4993359Z [2022-11-23 01:30:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.4993604Z [2022-11-23 01:30:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.4993883Z [2022-11-23 01:30:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4994126Z [2022-11-23 01:30:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.4994396Z [2022-11-23 01:30:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4994703Z [2022-11-23 01:30:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4994969Z [2022-11-23 01:30:44,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4995263Z [2022-11-23 01:30:44,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4995606Z [2022-11-23 01:30:44,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4995906Z [2022-11-23 01:30:44,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.4996161Z [2022-11-23 01:30:44,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.4996399Z [2022-11-23 01:30:44,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.4996647Z [2022-11-23 01:30:44,206] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.4996888Z [2022-11-23 01:30:44,210] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.4997085Z [2022-11-23 01:30:44,210] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.4997250Z  __compiled_fn_806 <eval_with_key>.4956 opcode, name, target, args, kwargs
2022-11-23T01:32:32.4997341Z placeholder, x, x, (), {}
2022-11-23T01:32:32.4997432Z placeholder, y, y, (), {}
2022-11-23T01:32:32.4997604Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.4997797Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.4997986Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.4998105Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.4998111Z 
2022-11-23T01:32:32.4998433Z [2022-11-23 01:30:44,210] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4998533Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4998631Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4998712Z                4 BINARY_ADD
2022-11-23T01:32:32.4998810Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4998903Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4998992Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.4999087Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.4999172Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.4999263Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.4999360Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.4999442Z               20 RETURN_VALUE
2022-11-23T01:32:32.4999447Z 
2022-11-23T01:32:32.4999515Z  
2022-11-23T01:32:32.4999834Z [2022-11-23 01:30:44,211] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.4999953Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_806)
2022-11-23T01:32:32.5000040Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5000136Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5000235Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5000349Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5000459Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5000553Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5000639Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5000745Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5000831Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5000913Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5001019Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5001113Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5001194Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5001289Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5001371Z               30 RETURN_VALUE
2022-11-23T01:32:32.5001376Z 
2022-11-23T01:32:32.5001435Z  
2022-11-23T01:32:32.5001629Z [2022-11-23 01:30:44,211] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5001707Z  - 
2022-11-23T01:32:32.5001834Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5001905Z             {
2022-11-23T01:32:32.5002054Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5002168Z                 'code': None,
2022-11-23T01:32:32.5002377Z                 'obj_weakref': <weakref at 0x7f1fd80ecf90; to 'Tensor' at 0x7f1fd8bfbec0>
2022-11-23T01:32:32.5002632Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5002701Z             }
2022-11-23T01:32:32.5002770Z             
2022-11-23T01:32:32.5002845Z  - 
2022-11-23T01:32:32.5002970Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5003039Z             {
2022-11-23T01:32:32.5003179Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5003292Z                 'code': None,
2022-11-23T01:32:32.5003547Z                 'obj_weakref': <weakref at 0x7f1ffad85850; to 'Tensor' at 0x7f1ffad87f10>
2022-11-23T01:32:32.5003797Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5003865Z             }
2022-11-23T01:32:32.5003956Z             
2022-11-23T01:32:32.5004222Z [2022-11-23 01:30:44,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 788
2022-11-23T01:32:32.5004564Z [2022-11-23 01:30:44,229] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5004570Z 
2022-11-23T01:32:32.5004664Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5004739Z import torch
2022-11-23T01:32:32.5004814Z import random
2022-11-23T01:32:32.5004937Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5005064Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5005069Z 
2022-11-23T01:32:32.5005156Z aten = torch.ops.aten
2022-11-23T01:32:32.5005299Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5005390Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5005402Z 
2022-11-23T01:32:32.5005470Z import triton
2022-11-23T01:32:32.5005567Z import triton.language as tl
2022-11-23T01:32:32.5005698Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5005844Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5005849Z 
2022-11-23T01:32:32.5005854Z 
2022-11-23T01:32:32.5006023Z triton_fused_add_div_mul0 = async_compile.triton('''
2022-11-23T01:32:32.5006098Z import triton
2022-11-23T01:32:32.5006191Z import triton.language as tl
2022-11-23T01:32:32.5006299Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5006405Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5006542Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5006676Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5006681Z 
2022-11-23T01:32:32.5007093Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5007172Z @triton.jit
2022-11-23T01:32:32.5007336Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5007411Z     xnumel = 6
2022-11-23T01:32:32.5007504Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5007640Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5007728Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5007801Z     x0 = xindex
2022-11-23T01:32:32.5007877Z     tmp0 = in_ptr0
2022-11-23T01:32:32.5007979Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.5008068Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.5008143Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.5008224Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:32.5008302Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:32.5008441Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5008578Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5008717Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5008805Z ''')
2022-11-23T01:32:32.5008811Z 
2022-11-23T01:32:32.5008815Z 
2022-11-23T01:32:32.5008909Z async_compile.wait(globals())
2022-11-23T01:32:32.5008980Z del async_compile
2022-11-23T01:32:32.5008985Z 
2022-11-23T01:32:32.5009062Z def call(args):
2022-11-23T01:32:32.5009142Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5009219Z     args.clear()
2022-11-23T01:32:32.5009424Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5009625Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5009849Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5009936Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5010107Z     triton_fused_add_div_mul0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5010203Z     del arg0_1
2022-11-23T01:32:32.5010277Z     del arg1_1
2022-11-23T01:32:32.5010366Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5010371Z 
2022-11-23T01:32:32.5010376Z 
2022-11-23T01:32:32.5010457Z if __name__ == "__main__":
2022-11-23T01:32:32.5010580Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5010709Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5010897Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:32.5011098Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5011219Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5011229Z 
2022-11-23T01:32:32.5011233Z 
2022-11-23T01:32:32.5011334Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5011412Z import torch
2022-11-23T01:32:32.5011487Z import random
2022-11-23T01:32:32.5011609Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5011732Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5011745Z 
2022-11-23T01:32:32.5011821Z aten = torch.ops.aten
2022-11-23T01:32:32.5011961Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5012058Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5012063Z 
2022-11-23T01:32:32.5012138Z import triton
2022-11-23T01:32:32.5012234Z import triton.language as tl
2022-11-23T01:32:32.5012364Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5012506Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5012512Z 
2022-11-23T01:32:32.5012516Z 
2022-11-23T01:32:32.5012687Z triton_fused_mul_add_div0 = async_compile.triton('''
2022-11-23T01:32:32.5012755Z import triton
2022-11-23T01:32:32.5012848Z import triton.language as tl
2022-11-23T01:32:32.5012966Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5013071Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5013210Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5013338Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5013343Z 
2022-11-23T01:32:32.5013756Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5013830Z @triton.jit
2022-11-23T01:32:32.5013986Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5014060Z     xnumel = 6
2022-11-23T01:32:32.5014163Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5014297Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5014382Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5014453Z     x0 = xindex
2022-11-23T01:32:32.5014552Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5014623Z     tmp1 = in_ptr1
2022-11-23T01:32:32.5014702Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5014782Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:32.5014860Z     tmp4 = tmp0 / tmp1
2022-11-23T01:32:32.5014996Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.5015131Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5015264Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5015343Z ''')
2022-11-23T01:32:32.5015349Z 
2022-11-23T01:32:32.5015353Z 
2022-11-23T01:32:32.5015449Z async_compile.wait(globals())
2022-11-23T01:32:32.5015527Z del async_compile
2022-11-23T01:32:32.5015532Z 
2022-11-23T01:32:32.5015639Z def call(args):
2022-11-23T01:32:32.5015721Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5015799Z     args.clear()
2022-11-23T01:32:32.5016000Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5016187Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5016402Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5016495Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5016665Z     triton_fused_mul_add_div0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5016741Z     del arg0_1
2022-11-23T01:32:32.5016814Z     del arg1_1
2022-11-23T01:32:32.5016903Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5016908Z 
2022-11-23T01:32:32.5016912Z 
2022-11-23T01:32:32.5016993Z if __name__ == "__main__":
2022-11-23T01:32:32.5017107Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5017239Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5017438Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5017626Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.5017749Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5017754Z 
2022-11-23T01:32:32.5017759Z 
2022-11-23T01:32:32.5017858Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5017935Z import torch
2022-11-23T01:32:32.5018012Z import random
2022-11-23T01:32:32.5018126Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5018251Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5018257Z 
2022-11-23T01:32:32.5018341Z aten = torch.ops.aten
2022-11-23T01:32:32.5018481Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5018579Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5018584Z 
2022-11-23T01:32:32.5018661Z import triton
2022-11-23T01:32:32.5018757Z import triton.language as tl
2022-11-23T01:32:32.5019063Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5019201Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5019207Z 
2022-11-23T01:32:32.5019215Z 
2022-11-23T01:32:32.5019386Z triton_fused_add_mul_div0 = async_compile.triton('''
2022-11-23T01:32:32.5019463Z import triton
2022-11-23T01:32:32.5019555Z import triton.language as tl
2022-11-23T01:32:32.5019671Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5019775Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5019911Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5020032Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5020046Z 
2022-11-23T01:32:32.5020453Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5020527Z @triton.jit
2022-11-23T01:32:32.5020689Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5020764Z     xnumel = 6
2022-11-23T01:32:32.5020867Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5020998Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5021083Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5021148Z     x0 = xindex
2022-11-23T01:32:32.5021223Z     tmp0 = in_ptr0
2022-11-23T01:32:32.5021322Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.5021405Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5021484Z     tmp3 = tmp0 * tmp1
2022-11-23T01:32:32.5021562Z     tmp4 = tmp0 / tmp1
2022-11-23T01:32:32.5021696Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.5021825Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5022006Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5022094Z ''')
2022-11-23T01:32:32.5022099Z 
2022-11-23T01:32:32.5022104Z 
2022-11-23T01:32:32.5022198Z async_compile.wait(globals())
2022-11-23T01:32:32.5022277Z del async_compile
2022-11-23T01:32:32.5022309Z 
2022-11-23T01:32:32.5022387Z def call(args):
2022-11-23T01:32:32.5022468Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5022547Z     args.clear()
2022-11-23T01:32:32.5022738Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5022933Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5023125Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5023217Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5023387Z     triton_fused_add_mul_div0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5023465Z     del arg0_1
2022-11-23T01:32:32.5023539Z     del arg1_1
2022-11-23T01:32:32.5023620Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5023635Z 
2022-11-23T01:32:32.5023640Z 
2022-11-23T01:32:32.5023714Z if __name__ == "__main__":
2022-11-23T01:32:32.5023834Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5023966Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5024157Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.5024354Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5024475Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5024480Z 
2022-11-23T01:32:32.5024847Z [2022-11-23 01:30:44,232] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zf/czffvve2zp3jytksvld2eacsexryaahgdbgnlufy6h32ujq4i2rs.py
2022-11-23T01:32:32.5025101Z [2022-11-23 01:30:44,232] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5025357Z [2022-11-23 01:30:44,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 788
2022-11-23T01:32:32.5025593Z [2022-11-23 01:30:44,235] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.5025907Z [2022-11-23 01:30:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.5026123Z [2022-11-23 01:30:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.5026361Z [2022-11-23 01:30:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.5026635Z [2022-11-23 01:30:44,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5026874Z [2022-11-23 01:30:44,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.5027140Z [2022-11-23 01:30:44,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5027450Z [2022-11-23 01:30:44,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5027716Z [2022-11-23 01:30:44,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5027998Z [2022-11-23 01:30:44,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5028332Z [2022-11-23 01:30:44,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5028629Z [2022-11-23 01:30:44,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5028909Z [2022-11-23 01:30:44,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5029146Z [2022-11-23 01:30:44,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.5029393Z [2022-11-23 01:30:44,239] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.5029655Z [2022-11-23 01:30:44,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.5029850Z [2022-11-23 01:30:44,244] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5029994Z  __compiled_fn_807 <eval_with_key>.4962 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5030077Z placeholder, x, x, (), {}
2022-11-23T01:32:32.5030164Z placeholder, y, y, (), {}
2022-11-23T01:32:32.5030414Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.5030610Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.5030823Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.5030956Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.5030962Z 
2022-11-23T01:32:32.5031318Z [2022-11-23 01:30:44,244] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5031420Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5031510Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5031589Z                4 BINARY_ADD
2022-11-23T01:32:32.5031685Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5031781Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5031871Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.5031967Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5032061Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5032143Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.5032244Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.5032327Z               20 RETURN_VALUE
2022-11-23T01:32:32.5032332Z 
2022-11-23T01:32:32.5032399Z  
2022-11-23T01:32:32.5032725Z [2022-11-23 01:30:44,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5032847Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_807)
2022-11-23T01:32:32.5032941Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5033036Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5033126Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5033239Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5033352Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5033448Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5033532Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5033642Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5033738Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5033813Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5033922Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5034019Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5034101Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5034197Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5034278Z               30 RETURN_VALUE
2022-11-23T01:32:32.5034283Z 
2022-11-23T01:32:32.5034349Z  
2022-11-23T01:32:32.5034531Z [2022-11-23 01:30:44,245] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5034608Z  - 
2022-11-23T01:32:32.5034736Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5034806Z             {
2022-11-23T01:32:32.5034955Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5035069Z                 'code': None,
2022-11-23T01:32:32.5035327Z                 'obj_weakref': <weakref at 0x7f1ffad85850; to 'Tensor' at 0x7f1ffad87f10>
2022-11-23T01:32:32.5035574Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5035644Z             }
2022-11-23T01:32:32.5035741Z             
2022-11-23T01:32:32.5035817Z  - 
2022-11-23T01:32:32.5035941Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5036011Z             {
2022-11-23T01:32:32.5036157Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5036261Z                 'code': None,
2022-11-23T01:32:32.5036471Z                 'obj_weakref': <weakref at 0x7f1fd80ecf90; to 'Tensor' at 0x7f1fd8bfbec0>
2022-11-23T01:32:32.5036714Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5036784Z             }
2022-11-23T01:32:32.5036853Z             
2022-11-23T01:32:32.5037117Z [2022-11-23 01:30:44,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 789
2022-11-23T01:32:32.5037447Z [2022-11-23 01:30:44,261] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5037814Z [2022-11-23 01:30:44,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zo/czodsbuvqopxlhfgkgiwyf5qxqion24pich7irjnbi3j22jl5uxz.py
2022-11-23T01:32:32.5038065Z [2022-11-23 01:30:44,269] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5038334Z [2022-11-23 01:30:44,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 789
2022-11-23T01:32:32.5038579Z [2022-11-23 01:30:44,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.5038899Z [2022-11-23 01:30:44,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.5039118Z [2022-11-23 01:30:44,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.5039363Z [2022-11-23 01:30:44,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.5039643Z [2022-11-23 01:30:44,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5039888Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.5040158Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5040471Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5040729Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5041027Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5041370Z [2022-11-23 01:30:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5041669Z [2022-11-23 01:30:44,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5041920Z [2022-11-23 01:30:44,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5042158Z [2022-11-23 01:30:44,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.5042407Z [2022-11-23 01:30:44,276] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.5042677Z [2022-11-23 01:30:44,280] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.5042876Z [2022-11-23 01:30:44,281] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5043014Z  __compiled_fn_808 <eval_with_key>.4968 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5043103Z placeholder, x, x, (), {}
2022-11-23T01:32:32.5043214Z placeholder, y, y, (), {}
2022-11-23T01:32:32.5043387Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.5043557Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.5043744Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.5043862Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.5043868Z 
2022-11-23T01:32:32.5044199Z [2022-11-23 01:30:44,281] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5044291Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5044392Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5044472Z                4 BINARY_ADD
2022-11-23T01:32:32.5044566Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5044659Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5044748Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.5044846Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5044932Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5045021Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.5045119Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.5045200Z               20 RETURN_VALUE
2022-11-23T01:32:32.5045205Z 
2022-11-23T01:32:32.5045270Z  
2022-11-23T01:32:32.5045594Z [2022-11-23 01:30:44,281] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5045712Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_808)
2022-11-23T01:32:32.5045810Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5045899Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5045998Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5046113Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5046227Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5046322Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5046406Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5046515Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5046602Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5046685Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5046791Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5046885Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5046967Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5047065Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5047146Z               30 RETURN_VALUE
2022-11-23T01:32:32.5047152Z 
2022-11-23T01:32:32.5047211Z  
2022-11-23T01:32:32.5047401Z [2022-11-23 01:30:44,281] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5047478Z  - 
2022-11-23T01:32:32.5047605Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5047679Z             {
2022-11-23T01:32:32.5047828Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5047941Z                 'code': None,
2022-11-23T01:32:32.5048156Z                 'obj_weakref': <weakref at 0x7f1fd8374bd0; to 'Tensor' at 0x7f1fd9a8f150>
2022-11-23T01:32:32.5048410Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5048482Z             }
2022-11-23T01:32:32.5048550Z             
2022-11-23T01:32:32.5048629Z  - 
2022-11-23T01:32:32.5048754Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5048823Z             {
2022-11-23T01:32:32.5049005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5049123Z                 'code': None,
2022-11-23T01:32:32.5049334Z                 'obj_weakref': <weakref at 0x7f2060184cc0; to 'Tensor' at 0x7f20682c4cc0>
2022-11-23T01:32:32.5049582Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5049674Z             }
2022-11-23T01:32:32.5049744Z             
2022-11-23T01:32:32.5050007Z [2022-11-23 01:30:44,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 790
2022-11-23T01:32:32.5050347Z [2022-11-23 01:30:44,298] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5050702Z [2022-11-23 01:30:44,305] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vv/cvvpjjn24ml6idrl65ng5h22dmgqcdlno2wvxnaz7hqgwwma5232.py
2022-11-23T01:32:32.5050958Z [2022-11-23 01:30:44,306] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5051230Z [2022-11-23 01:30:44,306] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 790
2022-11-23T01:32:32.5051472Z [2022-11-23 01:30:44,308] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.5051793Z [2022-11-23 01:30:44,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.5052009Z [2022-11-23 01:30:44,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.5052251Z [2022-11-23 01:30:44,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.5052529Z [2022-11-23 01:30:44,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5052774Z [2022-11-23 01:30:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.5053043Z [2022-11-23 01:30:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5053349Z [2022-11-23 01:30:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5053621Z [2022-11-23 01:30:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5053916Z [2022-11-23 01:30:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5054255Z [2022-11-23 01:30:44,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5054555Z [2022-11-23 01:30:44,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5054808Z [2022-11-23 01:30:44,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5055047Z [2022-11-23 01:30:44,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.5055298Z [2022-11-23 01:30:44,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.5055542Z [2022-11-23 01:30:44,316] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.5055736Z [2022-11-23 01:30:44,317] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5055872Z  __compiled_fn_809 <eval_with_key>.4974 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5055962Z placeholder, x, x, (), {}
2022-11-23T01:32:32.5056051Z placeholder, y, y, (), {}
2022-11-23T01:32:32.5056221Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.5056437Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.5056627Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.5056746Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.5056752Z 
2022-11-23T01:32:32.5057098Z [2022-11-23 01:30:44,317] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5057198Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5057294Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5057374Z                4 BINARY_ADD
2022-11-23T01:32:32.5057469Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5057562Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5057649Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.5057744Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5057830Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5057924Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.5058023Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.5058104Z               20 RETURN_VALUE
2022-11-23T01:32:32.5058109Z 
2022-11-23T01:32:32.5058177Z  
2022-11-23T01:32:32.5058503Z [2022-11-23 01:30:44,317] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5058621Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_809)
2022-11-23T01:32:32.5058718Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5059068Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5059207Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5059356Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5059475Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5059571Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5059662Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5059771Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5059857Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5059944Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5060054Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5060148Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5060231Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5060327Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5060408Z               30 RETURN_VALUE
2022-11-23T01:32:32.5060414Z 
2022-11-23T01:32:32.5060473Z  
2022-11-23T01:32:32.5060673Z [2022-11-23 01:30:44,317] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5060749Z  - 
2022-11-23T01:32:32.5060874Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5060943Z             {
2022-11-23T01:32:32.5061090Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5061205Z                 'code': None,
2022-11-23T01:32:32.5061412Z                 'obj_weakref': <weakref at 0x7f2060184cc0; to 'Tensor' at 0x7f20682c4cc0>
2022-11-23T01:32:32.5061668Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5061741Z             }
2022-11-23T01:32:32.5061809Z             
2022-11-23T01:32:32.5061885Z  - 
2022-11-23T01:32:32.5062011Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5062082Z             {
2022-11-23T01:32:32.5062222Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5062334Z                 'code': None,
2022-11-23T01:32:32.5062544Z                 'obj_weakref': <weakref at 0x7f1fd8374bd0; to 'Tensor' at 0x7f1fd9a8f150>
2022-11-23T01:32:32.5062793Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5062862Z             }
2022-11-23T01:32:32.5062929Z             
2022-11-23T01:32:32.5063259Z [2022-11-23 01:30:44,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 791
2022-11-23T01:32:32.5063595Z [2022-11-23 01:30:44,335] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5063637Z 
2022-11-23T01:32:32.5063733Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5063808Z import torch
2022-11-23T01:32:32.5063884Z import random
2022-11-23T01:32:32.5064008Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5064137Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5064142Z 
2022-11-23T01:32:32.5064227Z aten = torch.ops.aten
2022-11-23T01:32:32.5064369Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5064459Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5064464Z 
2022-11-23T01:32:32.5064538Z import triton
2022-11-23T01:32:32.5064633Z import triton.language as tl
2022-11-23T01:32:32.5064762Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5064906Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5064912Z 
2022-11-23T01:32:32.5064916Z 
2022-11-23T01:32:32.5065093Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:32.5065169Z import triton
2022-11-23T01:32:32.5065261Z import triton.language as tl
2022-11-23T01:32:32.5065370Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5065476Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5065615Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5065743Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5065749Z 
2022-11-23T01:32:32.5066173Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'fp64', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5066248Z @triton.jit
2022-11-23T01:32:32.5066414Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5066487Z     xnumel = 6
2022-11-23T01:32:32.5066579Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5066715Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5066803Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5066874Z     x0 = xindex
2022-11-23T01:32:32.5066973Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5067051Z     tmp1 = in_ptr1
2022-11-23T01:32:32.5067142Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:32.5067215Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.5067295Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:32.5067373Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:32.5067513Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5067651Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5067787Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5067874Z ''')
2022-11-23T01:32:32.5067879Z 
2022-11-23T01:32:32.5067884Z 
2022-11-23T01:32:32.5067978Z async_compile.wait(globals())
2022-11-23T01:32:32.5068052Z del async_compile
2022-11-23T01:32:32.5068057Z 
2022-11-23T01:32:32.5068132Z def call(args):
2022-11-23T01:32:32.5068213Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5068289Z     args.clear()
2022-11-23T01:32:32.5068496Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5068698Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5068895Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5068979Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5069150Z     triton_fused_div_mul_add0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5069253Z     del arg0_1
2022-11-23T01:32:32.5069331Z     del arg1_1
2022-11-23T01:32:32.5069421Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5069426Z 
2022-11-23T01:32:32.5069430Z 
2022-11-23T01:32:32.5069511Z if __name__ == "__main__":
2022-11-23T01:32:32.5069661Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5069793Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5069990Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5070182Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.5070388Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5070394Z 
2022-11-23T01:32:32.5070399Z 
2022-11-23T01:32:32.5070502Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5070577Z import torch
2022-11-23T01:32:32.5070652Z import random
2022-11-23T01:32:32.5070773Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5070895Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5070907Z 
2022-11-23T01:32:32.5070983Z aten = torch.ops.aten
2022-11-23T01:32:32.5071123Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5071221Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5071229Z 
2022-11-23T01:32:32.5071302Z import triton
2022-11-23T01:32:32.5071396Z import triton.language as tl
2022-11-23T01:32:32.5071526Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5071671Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5071676Z 
2022-11-23T01:32:32.5071680Z 
2022-11-23T01:32:32.5071849Z triton_fused_mul_div_add0 = async_compile.triton('''
2022-11-23T01:32:32.5071917Z import triton
2022-11-23T01:32:32.5072010Z import triton.language as tl
2022-11-23T01:32:32.5072127Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5072231Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5072373Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5072504Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5072509Z 
2022-11-23T01:32:32.5072923Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'fp64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5073002Z @triton.jit
2022-11-23T01:32:32.5073158Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5073231Z     xnumel = 6
2022-11-23T01:32:32.5073331Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5073465Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5073550Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5073622Z     x0 = xindex
2022-11-23T01:32:32.5073701Z     tmp0 = in_ptr0
2022-11-23T01:32:32.5073795Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.5073886Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.5073964Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.5074043Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:32.5074122Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:32.5074261Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5074399Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5074527Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5074614Z ''')
2022-11-23T01:32:32.5074619Z 
2022-11-23T01:32:32.5074624Z 
2022-11-23T01:32:32.5074721Z async_compile.wait(globals())
2022-11-23T01:32:32.5074801Z del async_compile
2022-11-23T01:32:32.5074806Z 
2022-11-23T01:32:32.5074882Z def call(args):
2022-11-23T01:32:32.5074965Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5075042Z     args.clear()
2022-11-23T01:32:32.5075231Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5075465Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5075659Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5075752Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5075950Z     triton_fused_mul_div_add0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5076024Z     del arg0_1
2022-11-23T01:32:32.5076098Z     del arg1_1
2022-11-23T01:32:32.5076187Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5076193Z 
2022-11-23T01:32:32.5076197Z 
2022-11-23T01:32:32.5076271Z if __name__ == "__main__":
2022-11-23T01:32:32.5076391Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5076525Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5076717Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.5076917Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5077040Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5077045Z 
2022-11-23T01:32:32.5077049Z 
2022-11-23T01:32:32.5077149Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5077225Z import torch
2022-11-23T01:32:32.5077296Z import random
2022-11-23T01:32:32.5077416Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5077543Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5077548Z 
2022-11-23T01:32:32.5077635Z aten = torch.ops.aten
2022-11-23T01:32:32.5077776Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5077873Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5077878Z 
2022-11-23T01:32:32.5077954Z import triton
2022-11-23T01:32:32.5078039Z import triton.language as tl
2022-11-23T01:32:32.5078168Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5078311Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5078319Z 
2022-11-23T01:32:32.5078323Z 
2022-11-23T01:32:32.5078491Z triton_fused_mul_add_div0 = async_compile.triton('''
2022-11-23T01:32:32.5078569Z import triton
2022-11-23T01:32:32.5078662Z import triton.language as tl
2022-11-23T01:32:32.5078779Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5078886Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5079015Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5079143Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5079148Z 
2022-11-23T01:32:32.5079558Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5079635Z @triton.jit
2022-11-23T01:32:32.5079802Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5079880Z     xnumel = 6
2022-11-23T01:32:32.5079978Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5080111Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5080188Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5080260Z     x0 = xindex
2022-11-23T01:32:32.5080362Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5080441Z     tmp1 = in_ptr1
2022-11-23T01:32:32.5080531Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:32.5080611Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.5080691Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:32.5080762Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:32.5080898Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5081034Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5081169Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5081256Z ''')
2022-11-23T01:32:32.5081261Z 
2022-11-23T01:32:32.5081295Z 
2022-11-23T01:32:32.5081391Z async_compile.wait(globals())
2022-11-23T01:32:32.5081470Z del async_compile
2022-11-23T01:32:32.5081475Z 
2022-11-23T01:32:32.5081552Z def call(args):
2022-11-23T01:32:32.5081625Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5081701Z     args.clear()
2022-11-23T01:32:32.5081923Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5082119Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5082312Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5082403Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5082574Z     triton_fused_mul_add_div0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5082641Z     del arg0_1
2022-11-23T01:32:32.5082714Z     del arg1_1
2022-11-23T01:32:32.5082801Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5082806Z 
2022-11-23T01:32:32.5082811Z 
2022-11-23T01:32:32.5082895Z if __name__ == "__main__":
2022-11-23T01:32:32.5083018Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5083148Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5083346Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5083533Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.5083647Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5083652Z 
2022-11-23T01:32:32.5084013Z [2022-11-23 01:30:44,343] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s5/cs5mgj55wylojngut4qfqqi5hcrvqg2vsdbkm45auxyocny4z4sz.py
2022-11-23T01:32:32.5084264Z [2022-11-23 01:30:44,343] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5084528Z [2022-11-23 01:30:44,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 791
2022-11-23T01:32:32.5084768Z [2022-11-23 01:30:44,346] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.5085078Z [2022-11-23 01:30:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.5085294Z [2022-11-23 01:30:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.5085533Z [2022-11-23 01:30:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.5085807Z [2022-11-23 01:30:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5086048Z [2022-11-23 01:30:44,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.5086304Z [2022-11-23 01:30:44,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5086616Z [2022-11-23 01:30:44,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5086879Z [2022-11-23 01:30:44,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5087172Z [2022-11-23 01:30:44,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5087506Z [2022-11-23 01:30:44,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5087803Z [2022-11-23 01:30:44,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5088052Z [2022-11-23 01:30:44,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5088317Z [2022-11-23 01:30:44,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.5088566Z [2022-11-23 01:30:44,350] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.5088800Z [2022-11-23 01:30:44,354] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.5089020Z [2022-11-23 01:30:44,354] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5089162Z  __compiled_fn_810 <eval_with_key>.4980 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5089251Z placeholder, x, x, (), {}
2022-11-23T01:32:32.5089339Z placeholder, y, y, (), {}
2022-11-23T01:32:32.5089509Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.5089678Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.5089865Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.5089976Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.5089981Z 
2022-11-23T01:32:32.5090316Z [2022-11-23 01:30:44,354] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5090417Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5090514Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5090596Z                4 BINARY_ADD
2022-11-23T01:32:32.5090693Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5090785Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5090873Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.5090961Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5091056Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5091146Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.5091243Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.5091325Z               20 RETURN_VALUE
2022-11-23T01:32:32.5091330Z 
2022-11-23T01:32:32.5091397Z  
2022-11-23T01:32:32.5091722Z [2022-11-23 01:30:44,354] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5091834Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_810)
2022-11-23T01:32:32.5091931Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5092029Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5092126Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5092239Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5092348Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5092446Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5092535Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5092634Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5092731Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5092816Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5092922Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5093016Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5093099Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5093195Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5093272Z               30 RETURN_VALUE
2022-11-23T01:32:32.5093278Z 
2022-11-23T01:32:32.5093345Z  
2022-11-23T01:32:32.5093535Z [2022-11-23 01:30:44,355] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5093612Z  - 
2022-11-23T01:32:32.5093737Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5093807Z             {
2022-11-23T01:32:32.5093956Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5094060Z                 'code': None,
2022-11-23T01:32:32.5094276Z                 'obj_weakref': <weakref at 0x7f1fd97b9d00; to 'Tensor' at 0x7f1fd80ee570>
2022-11-23T01:32:32.5094575Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5094648Z             }
2022-11-23T01:32:32.5094717Z             
2022-11-23T01:32:32.5094795Z  - 
2022-11-23T01:32:32.5094920Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5094982Z             {
2022-11-23T01:32:32.5095149Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5095263Z                 'code': None,
2022-11-23T01:32:32.5095477Z                 'obj_weakref': <weakref at 0x7f1fd97b8770; to 'Tensor' at 0x7f1fd97b8fe0>
2022-11-23T01:32:32.5095723Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5095794Z             }
2022-11-23T01:32:32.5095863Z             
2022-11-23T01:32:32.5096118Z [2022-11-23 01:30:44,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 792
2022-11-23T01:32:32.5096450Z [2022-11-23 01:30:44,371] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5096808Z [2022-11-23 01:30:44,379] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfevu4jgwqsl2rha54ar55ehiimfhehf632jhwizbrewazk5oi3h.py
2022-11-23T01:32:32.5097060Z [2022-11-23 01:30:44,379] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5097328Z [2022-11-23 01:30:44,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 792
2022-11-23T01:32:32.5097565Z [2022-11-23 01:30:44,382] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:32.5097879Z [2022-11-23 01:30:44,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4533
2022-11-23T01:32:32.5098096Z [2022-11-23 01:30:44,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.5098341Z [2022-11-23 01:30:44,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.5098622Z [2022-11-23 01:30:44,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5099060Z [2022-11-23 01:30:44,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:32.5099338Z [2022-11-23 01:30:44,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5099652Z [2022-11-23 01:30:44,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5099917Z [2022-11-23 01:30:44,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5100212Z [2022-11-23 01:30:44,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5100556Z [2022-11-23 01:30:44,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5100853Z [2022-11-23 01:30:44,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5101106Z [2022-11-23 01:30:44,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5101341Z [2022-11-23 01:30:44,385] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:32.5101587Z [2022-11-23 01:30:44,386] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.5101823Z [2022-11-23 01:30:44,390] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.5102017Z [2022-11-23 01:30:44,390] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5102209Z  __compiled_fn_811 <eval_with_key>.4986 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5102304Z placeholder, x, x, (), {}
2022-11-23T01:32:32.5102396Z placeholder, y, y, (), {}
2022-11-23T01:32:32.5102575Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:32.5102745Z call_function, mul, <built-in function mul>, (x, y), {}
2022-11-23T01:32:32.5102953Z call_function, truediv, <built-in function truediv>, (x, y), {}
2022-11-23T01:32:32.5103073Z output, output, output, ((add, mul, truediv),), {}
2022-11-23T01:32:32.5103079Z 
2022-11-23T01:32:32.5103407Z [2022-11-23 01:30:44,390] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5103505Z 4533           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5103603Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5103682Z                4 BINARY_ADD
2022-11-23T01:32:32.5103774Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5103870Z                8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5103950Z               10 BINARY_MULTIPLY
2022-11-23T01:32:32.5104045Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5104139Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5104231Z               16 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.5104327Z               18 BUILD_TUPLE              3
2022-11-23T01:32:32.5104409Z               20 RETURN_VALUE
2022-11-23T01:32:32.5104414Z 
2022-11-23T01:32:32.5104481Z  
2022-11-23T01:32:32.5104802Z [2022-11-23 01:30:44,390] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4532 
2022-11-23T01:32:32.5104913Z 4532           0 LOAD_GLOBAL              0 (__compiled_fn_811)
2022-11-23T01:32:32.5105008Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.5105104Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:32.5105208Z                6 CALL_FUNCTION            2
2022-11-23T01:32:32.5105322Z                8 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5105433Z               10 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5105528Z               12 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5105607Z               14 BINARY_SUBSCR
2022-11-23T01:32:32.5105720Z               16 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5105814Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5105897Z               20 BINARY_SUBSCR
2022-11-23T01:32:32.5106003Z               22 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5106097Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5106179Z               26 BINARY_SUBSCR
2022-11-23T01:32:32.5106268Z               28 BUILD_TUPLE              3
2022-11-23T01:32:32.5106349Z               30 RETURN_VALUE
2022-11-23T01:32:32.5106354Z 
2022-11-23T01:32:32.5106422Z  
2022-11-23T01:32:32.5106615Z [2022-11-23 01:30:44,391] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5106693Z  - 
2022-11-23T01:32:32.5106818Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:32.5106888Z             {
2022-11-23T01:32:32.5107029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5107149Z                 'code': None,
2022-11-23T01:32:32.5107371Z                 'obj_weakref': <weakref at 0x7f1fd97b8770; to 'Tensor' at 0x7f1fd97b8fe0>
2022-11-23T01:32:32.5107628Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5107697Z             }
2022-11-23T01:32:32.5107766Z             
2022-11-23T01:32:32.5107843Z  - 
2022-11-23T01:32:32.5107960Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:32.5108030Z             {
2022-11-23T01:32:32.5108176Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5108290Z                 'code': None,
2022-11-23T01:32:32.5108545Z                 'obj_weakref': <weakref at 0x7f1fd97b9d00; to 'Tensor' at 0x7f1fd80ee570>
2022-11-23T01:32:32.5108791Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5108863Z             }
2022-11-23T01:32:32.5108932Z             
2022-11-23T01:32:32.5109210Z [2022-11-23 01:30:44,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 793
2022-11-23T01:32:32.5109545Z [2022-11-23 01:30:44,407] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5109922Z [2022-11-23 01:30:44,415] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pd/cpdporxarmwmpffbmmswwfw6dr5yyi33ioqvgy5fiovqmwxpiw3b.py
2022-11-23T01:32:32.5110176Z [2022-11-23 01:30:44,415] torch._inductor.compile_fx: [WARNING] skipping cudagraphs due to multiple devices
2022-11-23T01:32:32.5110533Z [2022-11-23 01:30:44,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 793
2022-11-23T01:32:32.5110540Z 
2022-11-23T01:32:32.5110656Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5110745Z import torch
2022-11-23T01:32:32.5110834Z import random
2022-11-23T01:32:32.5110965Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5111876Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5111882Z 
2022-11-23T01:32:32.5111966Z aten = torch.ops.aten
2022-11-23T01:32:32.5112105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5112202Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5112207Z 
2022-11-23T01:32:32.5112282Z import triton
2022-11-23T01:32:32.5112375Z import triton.language as tl
2022-11-23T01:32:32.5112503Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5112640Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5112646Z 
2022-11-23T01:32:32.5112650Z 
2022-11-23T01:32:32.5112823Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:32.5112900Z import triton
2022-11-23T01:32:32.5112992Z import triton.language as tl
2022-11-23T01:32:32.5113108Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5113211Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5113351Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5113471Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5113484Z 
2022-11-23T01:32:32.5113885Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'i32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5113959Z @triton.jit
2022-11-23T01:32:32.5114126Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5114199Z     xnumel = 6
2022-11-23T01:32:32.5114302Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5114434Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5114518Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5114582Z     x0 = xindex
2022-11-23T01:32:32.5114656Z     tmp0 = in_ptr0
2022-11-23T01:32:32.5114757Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.5114846Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.5114926Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.5115004Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:32.5115082Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:32.5115213Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5115348Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5115483Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5115574Z ''')
2022-11-23T01:32:32.5115579Z 
2022-11-23T01:32:32.5115583Z 
2022-11-23T01:32:32.5115678Z async_compile.wait(globals())
2022-11-23T01:32:32.5115787Z del async_compile
2022-11-23T01:32:32.5115792Z 
2022-11-23T01:32:32.5115870Z def call(args):
2022-11-23T01:32:32.5115951Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5116020Z     args.clear()
2022-11-23T01:32:32.5116223Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5116450Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5116645Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5116738Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5116912Z     triton_fused_div_add_mul0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5116986Z     del arg0_1
2022-11-23T01:32:32.5117051Z     del arg1_1
2022-11-23T01:32:32.5117142Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5117147Z 
2022-11-23T01:32:32.5117152Z 
2022-11-23T01:32:32.5117233Z if __name__ == "__main__":
2022-11-23T01:32:32.5117355Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5117483Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5117677Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.5117877Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5118004Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5118009Z 
2022-11-23T01:32:32.5118014Z 
2022-11-23T01:32:32.5118114Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5118181Z import torch
2022-11-23T01:32:32.5118255Z import random
2022-11-23T01:32:32.5118377Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5118504Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5118509Z 
2022-11-23T01:32:32.5118591Z aten = torch.ops.aten
2022-11-23T01:32:32.5118731Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5118830Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5118835Z 
2022-11-23T01:32:32.5118903Z import triton
2022-11-23T01:32:32.5118995Z import triton.language as tl
2022-11-23T01:32:32.5119124Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5119267Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5119274Z 
2022-11-23T01:32:32.5119279Z 
2022-11-23T01:32:32.5119448Z triton_fused_div_mul_add0 = async_compile.triton('''
2022-11-23T01:32:32.5119522Z import triton
2022-11-23T01:32:32.5119615Z import triton.language as tl
2022-11-23T01:32:32.5119732Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5119828Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5119963Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5120091Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5120097Z 
2022-11-23T01:32:32.5120504Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i64', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5120578Z @triton.jit
2022-11-23T01:32:32.5120742Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5120821Z     xnumel = 6
2022-11-23T01:32:32.5120922Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5121046Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5121130Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5121204Z     x0 = xindex
2022-11-23T01:32:32.5121303Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5121379Z     tmp1 = in_ptr1
2022-11-23T01:32:32.5121467Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:32.5121548Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:32.5121619Z     tmp4 = tmp0 * tmp2
2022-11-23T01:32:32.5121697Z     tmp5 = tmp0 / tmp2
2022-11-23T01:32:32.5121862Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5122000Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5122134Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5122241Z ''')
2022-11-23T01:32:32.5122247Z 
2022-11-23T01:32:32.5122251Z 
2022-11-23T01:32:32.5122345Z async_compile.wait(globals())
2022-11-23T01:32:32.5122414Z del async_compile
2022-11-23T01:32:32.5122427Z 
2022-11-23T01:32:32.5122496Z def call(args):
2022-11-23T01:32:32.5122575Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5122651Z     args.clear()
2022-11-23T01:32:32.5122852Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5123047Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5123239Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5123330Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5123495Z     triton_fused_div_mul_add0.run(arg0_1, arg1_1.item(), buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5123569Z     del arg0_1
2022-11-23T01:32:32.5123641Z     del arg1_1
2022-11-23T01:32:32.5123728Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5123735Z 
2022-11-23T01:32:32.5123740Z 
2022-11-23T01:32:32.5123821Z if __name__ == "__main__":
2022-11-23T01:32:32.5123943Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5124072Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5124269Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5124446Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:32.5124566Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5124572Z 
2022-11-23T01:32:32.5124576Z 
2022-11-23T01:32:32.5124677Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5124750Z import torch
2022-11-23T01:32:32.5124828Z import random
2022-11-23T01:32:32.5124949Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5125074Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5125079Z 
2022-11-23T01:32:32.5125161Z aten = torch.ops.aten
2022-11-23T01:32:32.5125296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5125394Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5125399Z 
2022-11-23T01:32:32.5125474Z import triton
2022-11-23T01:32:32.5125568Z import triton.language as tl
2022-11-23T01:32:32.5125694Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5125836Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5125841Z 
2022-11-23T01:32:32.5125846Z 
2022-11-23T01:32:32.5126010Z triton_fused_div_add_mul0 = async_compile.triton('''
2022-11-23T01:32:32.5126078Z import triton
2022-11-23T01:32:32.5126172Z import triton.language as tl
2022-11-23T01:32:32.5126289Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5126395Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5126531Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5126658Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5126666Z 
2022-11-23T01:32:32.5127077Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: 'i64', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.5127151Z @triton.jit
2022-11-23T01:32:32.5127312Z def kernel(in_ptr0, in_ptr1, out_ptr0, out_ptr1, out_ptr2, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5127378Z     xnumel = 6
2022-11-23T01:32:32.5127477Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5127609Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5127694Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5127796Z     x0 = xindex
2022-11-23T01:32:32.5127875Z     tmp0 = in_ptr0
2022-11-23T01:32:32.5127966Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.5128058Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.5128141Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:32.5128221Z     tmp4 = tmp1 * tmp2
2022-11-23T01:32:32.5128324Z     tmp5 = tmp1 / tmp2
2022-11-23T01:32:32.5128462Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:32.5128596Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5128729Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5128808Z ''')
2022-11-23T01:32:32.5128813Z 
2022-11-23T01:32:32.5128818Z 
2022-11-23T01:32:32.5128912Z async_compile.wait(globals())
2022-11-23T01:32:32.5128989Z del async_compile
2022-11-23T01:32:32.5128994Z 
2022-11-23T01:32:32.5129069Z def call(args):
2022-11-23T01:32:32.5129148Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.5129226Z     args.clear()
2022-11-23T01:32:32.5129422Z     buf0 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5129609Z     buf1 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5129803Z     buf2 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5129900Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5130072Z     triton_fused_div_add_mul0.run(arg0_1.item(), arg1_1, buf0, buf1, buf2, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.5130145Z     del arg0_1
2022-11-23T01:32:32.5130223Z     del arg1_1
2022-11-23T01:32:32.5130310Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:32.5130316Z 
2022-11-23T01:32:32.5130320Z 
2022-11-23T01:32:32.5130401Z if __name__ == "__main__":
2022-11-23T01:32:32.5130514Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5130643Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5130832Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:32.5131030Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5131151Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.5131156Z 
2022-11-23T01:32:32.5131228Z ok (0.445s)
2022-11-23T01:32:32.5131547Z   test_unsqueeze_cuda (__main__.CudaTests) ... [2022-11-23 01:30:44,419] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5131864Z [2022-11-23 01:30:44,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5132077Z [2022-11-23 01:30:44,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5132332Z [2022-11-23 01:30:44,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5132616Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5132989Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5133336Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5133664Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5134039Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293> 
2022-11-23T01:32:32.5134144Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5134251Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5134378Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5134468Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5134550Z                8 BINARY_ADD
2022-11-23T01:32:32.5134697Z               10 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.5134815Z               12 CALL_METHOD              2
2022-11-23T01:32:32.5134911Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5134989Z               16 BINARY_ADD
2022-11-23T01:32:32.5134994Z 
2022-11-23T01:32:32.5135096Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5135195Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5135289Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5135384Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5135477Z               26 CALL_METHOD              2
2022-11-23T01:32:32.5135574Z               28 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5135651Z               30 BINARY_ADD
2022-11-23T01:32:32.5135659Z 
2022-11-23T01:32:32.5135759Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5135864Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5135952Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5136049Z               38 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5136125Z               40 BINARY_ADD
2022-11-23T01:32:32.5136218Z               42 LOAD_CONST               4 (0)
2022-11-23T01:32:32.5136311Z               44 CALL_METHOD              2
2022-11-23T01:32:32.5136405Z               46 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5136482Z               48 BINARY_ADD
2022-11-23T01:32:32.5136487Z 
2022-11-23T01:32:32.5136579Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5136682Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5136779Z               54 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5136926Z               56 LOAD_CONST               5 (-2)
2022-11-23T01:32:32.5137020Z               58 CALL_METHOD              2
2022-11-23T01:32:32.5137113Z               60 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5137193Z               62 BINARY_ADD
2022-11-23T01:32:32.5137198Z 
2022-11-23T01:32:32.5137293Z 1294          64 BUILD_TUPLE              4
2022-11-23T01:32:32.5137370Z               66 RETURN_VALUE
2022-11-23T01:32:32.5137437Z  
2022-11-23T01:32:32.5137442Z 
2022-11-23T01:32:32.5137757Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295
2022-11-23T01:32:32.5137979Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.5138350Z [2022-11-23 01:30:44,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5138681Z [2022-11-23 01:30:44,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5139231Z [2022-11-23 01:30:44,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5139627Z [2022-11-23 01:30:44,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5139977Z [2022-11-23 01:30:44,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5140365Z [2022-11-23 01:30:44,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5140662Z [2022-11-23 01:30:44,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.5140945Z [2022-11-23 01:30:44,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5141288Z [2022-11-23 01:30:44,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296
2022-11-23T01:32:32.5141543Z [2022-11-23 01:30:44,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.5141941Z [2022-11-23 01:30:44,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5142295Z [2022-11-23 01:30:44,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5142667Z [2022-11-23 01:30:44,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5143087Z [2022-11-23 01:30:44,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5143350Z [2022-11-23 01:30:44,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5143657Z [2022-11-23 01:30:44,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5143967Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297
2022-11-23T01:32:32.5144242Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5144656Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5145035Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5145437Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5145882Z [2022-11-23 01:30:44,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5146283Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5146725Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5147018Z [2022-11-23 01:30:44,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5147349Z [2022-11-23 01:30:44,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5147682Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298
2022-11-23T01:32:32.5147984Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5148452Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5148853Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5149288Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5149760Z [2022-11-23 01:30:44,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5150079Z [2022-11-23 01:30:44,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5150524Z [2022-11-23 01:30:44,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5150865Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294
2022-11-23T01:32:32.5151189Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5151439Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5151817Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293>
2022-11-23T01:32:32.5152066Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5152308Z [2022-11-23 01:30:44,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5152566Z [2022-11-23 01:30:44,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5152820Z [2022-11-23 01:30:44,437] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5153015Z [2022-11-23 01:30:44,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5153160Z  __compiled_fn_812 <eval_with_key>.4992 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5153249Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5153432Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5153683Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:32.5153871Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T01:32:32.5154120Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, 2), {}
2022-11-23T01:32:32.5154310Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T01:32:32.5154489Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5154768Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add_3, 0), {}
2022-11-23T01:32:32.5154952Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T01:32:32.5155200Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, -2), {}
2022-11-23T01:32:32.5155452Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T01:32:32.5155579Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T01:32:32.5155585Z 
2022-11-23T01:32:32.5155914Z [2022-11-23 01:30:44,438] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5156018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5156117Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5156216Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5156310Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5156406Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5156503Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5156585Z              12 RETURN_VALUE
2022-11-23T01:32:32.5156590Z 
2022-11-23T01:32:32.5156656Z  
2022-11-23T01:32:32.5156979Z [2022-11-23 01:30:44,438] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5157104Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_812)
2022-11-23T01:32:32.5157203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5157296Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5157380Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5157475Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5157589Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5157701Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5157803Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5157888Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5157992Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5158090Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5158172Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5158286Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5158382Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5158465Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5158574Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5158665Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5158747Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5158843Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.5158927Z              38 RETURN_VALUE
2022-11-23T01:32:32.5158932Z 
2022-11-23T01:32:32.5159003Z  
2022-11-23T01:32:32.5159195Z [2022-11-23 01:30:44,438] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5159273Z  - 
2022-11-23T01:32:32.5159391Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5159464Z             {
2022-11-23T01:32:32.5159614Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5159807Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5159936Z                 'obj_weakref': None
2022-11-23T01:32:32.5160165Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5160238Z             }
2022-11-23T01:32:32.5160300Z             
2022-11-23T01:32:32.5160377Z  - 
2022-11-23T01:32:32.5160508Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5160577Z             {
2022-11-23T01:32:32.5160727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5160839Z                 'code': None,
2022-11-23T01:32:32.5161055Z                 'obj_weakref': <weakref at 0x7f1fd813be20; to 'Tensor' at 0x7f2151f18a90>
2022-11-23T01:32:32.5161334Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5161405Z             }
2022-11-23T01:32:32.5161475Z             
2022-11-23T01:32:32.5161551Z  - 
2022-11-23T01:32:32.5161711Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5161780Z             {
2022-11-23T01:32:32.5161920Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5162088Z                 'code': ['___check_obj_id(model, 139772027428512)'],
2022-11-23T01:32:32.5162214Z                 'obj_weakref': None
2022-11-23T01:32:32.5162445Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5162515Z             }
2022-11-23T01:32:32.5162585Z             
2022-11-23T01:32:32.5162663Z  - 
2022-11-23T01:32:32.5162790Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5162852Z             {
2022-11-23T01:32:32.5163019Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5163262Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5163386Z                 'obj_weakref': None
2022-11-23T01:32:32.5163609Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5163681Z             }
2022-11-23T01:32:32.5163749Z             
2022-11-23T01:32:32.5163818Z  - 
2022-11-23T01:32:32.5163957Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.5164026Z             {
2022-11-23T01:32:32.5164150Z                 'guard_types': None,
2022-11-23T01:32:32.5164263Z                 'code': None,
2022-11-23T01:32:32.5164385Z                 'obj_weakref': None
2022-11-23T01:32:32.5164512Z                 'guarded_class': None
2022-11-23T01:32:32.5164574Z             }
2022-11-23T01:32:32.5164644Z             
2022-11-23T01:32:32.5164910Z [2022-11-23 01:30:44,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 794
2022-11-23T01:32:32.5165289Z [2022-11-23 01:30:44,467] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5165662Z [2022-11-23 01:30:44,635] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ho/chonzdzu6lv2cwstzjqohelctruqs5bjuwl4yiwkznsryowzoaor.py
2022-11-23T01:32:32.5165934Z [2022-11-23 01:30:44,635] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 794
2022-11-23T01:32:32.5166178Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5166494Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5166717Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5166971Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5167257Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5167585Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5167933Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5168260Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5168665Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293> 
2022-11-23T01:32:32.5168772Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5168884Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5168985Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5169098Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5169178Z                8 BINARY_ADD
2022-11-23T01:32:32.5169323Z               10 LOAD_CONST               2 (-1)
2022-11-23T01:32:32.5169418Z               12 CALL_METHOD              2
2022-11-23T01:32:32.5169515Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5169595Z               16 BINARY_ADD
2022-11-23T01:32:32.5169600Z 
2022-11-23T01:32:32.5169705Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5169811Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5169901Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5170001Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5170099Z               26 CALL_METHOD              2
2022-11-23T01:32:32.5170194Z               28 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5170273Z               30 BINARY_ADD
2022-11-23T01:32:32.5170278Z 
2022-11-23T01:32:32.5170384Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5170494Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5170583Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5170680Z               38 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5170760Z               40 BINARY_ADD
2022-11-23T01:32:32.5170854Z               42 LOAD_CONST               4 (0)
2022-11-23T01:32:32.5170949Z               44 CALL_METHOD              2
2022-11-23T01:32:32.5171044Z               46 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5171122Z               48 BINARY_ADD
2022-11-23T01:32:32.5171127Z 
2022-11-23T01:32:32.5171231Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.5171330Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:32.5171426Z               54 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5171569Z               56 LOAD_CONST               5 (-2)
2022-11-23T01:32:32.5171668Z               58 CALL_METHOD              2
2022-11-23T01:32:32.5171762Z               60 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5171839Z               62 BINARY_ADD
2022-11-23T01:32:32.5171844Z 
2022-11-23T01:32:32.5171941Z 1294          64 BUILD_TUPLE              4
2022-11-23T01:32:32.5172016Z               66 RETURN_VALUE
2022-11-23T01:32:32.5172083Z  
2022-11-23T01:32:32.5172088Z 
2022-11-23T01:32:32.5172410Z [2022-11-23 01:30:44,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295
2022-11-23T01:32:32.5172635Z [2022-11-23 01:30:44,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.5173059Z [2022-11-23 01:30:44,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5173386Z [2022-11-23 01:30:44,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5180316Z [2022-11-23 01:30:44,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5180774Z [2022-11-23 01:30:44,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5181223Z [2022-11-23 01:30:44,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5181618Z [2022-11-23 01:30:44,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5181862Z [2022-11-23 01:30:44,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.5182169Z [2022-11-23 01:30:44,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5182483Z [2022-11-23 01:30:44,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296
2022-11-23T01:32:32.5182734Z [2022-11-23 01:30:44,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.5183187Z [2022-11-23 01:30:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5183541Z [2022-11-23 01:30:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5183922Z [2022-11-23 01:30:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5184343Z [2022-11-23 01:30:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5184611Z [2022-11-23 01:30:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5184922Z [2022-11-23 01:30:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5185235Z [2022-11-23 01:30:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297
2022-11-23T01:32:32.5185511Z [2022-11-23 01:30:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5185936Z [2022-11-23 01:30:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5186306Z [2022-11-23 01:30:44,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5186710Z [2022-11-23 01:30:44,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5187155Z [2022-11-23 01:30:44,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5187561Z [2022-11-23 01:30:44,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5188002Z [2022-11-23 01:30:44,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5188319Z [2022-11-23 01:30:44,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5188654Z [2022-11-23 01:30:44,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5188965Z [2022-11-23 01:30:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298
2022-11-23T01:32:32.5189290Z [2022-11-23 01:30:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5189737Z [2022-11-23 01:30:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.5190141Z [2022-11-23 01:30:44,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.5190697Z [2022-11-23 01:30:44,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.5191172Z [2022-11-23 01:30:44,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5191492Z [2022-11-23 01:30:44,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5191854Z [2022-11-23 01:30:44,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5192169Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294
2022-11-23T01:32:32.5192486Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5192740Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5193112Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f22290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293>
2022-11-23T01:32:32.5193363Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5193603Z [2022-11-23 01:30:44,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5193864Z [2022-11-23 01:30:44,651] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5194119Z [2022-11-23 01:30:44,657] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5194313Z [2022-11-23 01:30:44,657] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5194458Z  __compiled_fn_813 <eval_with_key>.4998 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5194547Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5194723Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5194970Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add, -1), {}
2022-11-23T01:32:32.5195157Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T01:32:32.5195405Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, 2), {}
2022-11-23T01:32:32.5195635Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T01:32:32.5195813Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5196062Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7f209c394c60>, (add_3, 0), {}
2022-11-23T01:32:32.5196265Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T01:32:32.5196516Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7f209c394c60>, (ex_0_, -2), {}
2022-11-23T01:32:32.5196700Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T01:32:32.5196826Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T01:32:32.5196832Z 
2022-11-23T01:32:32.5197160Z [2022-11-23 01:30:44,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5197263Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5197365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5197460Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5197554Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5197649Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5197750Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5197833Z              12 RETURN_VALUE
2022-11-23T01:32:32.5197839Z 
2022-11-23T01:32:32.5197906Z  
2022-11-23T01:32:32.5198224Z [2022-11-23 01:30:44,658] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5198342Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_813)
2022-11-23T01:32:32.5198440Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5198531Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5198614Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5198712Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5198826Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5198944Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5199043Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5199131Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5199234Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5199331Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5199413Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5199522Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5199618Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5199699Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5199807Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5199895Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5199977Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5200073Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.5200156Z              38 RETURN_VALUE
2022-11-23T01:32:32.5200161Z 
2022-11-23T01:32:32.5200227Z  
2022-11-23T01:32:32.5200415Z [2022-11-23 01:30:44,658] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5200494Z  - 
2022-11-23T01:32:32.5200618Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5200681Z             {
2022-11-23T01:32:32.5200825Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5201017Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5201143Z                 'obj_weakref': None
2022-11-23T01:32:32.5201367Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5201437Z             }
2022-11-23T01:32:32.5201507Z             
2022-11-23T01:32:32.5201578Z  - 
2022-11-23T01:32:32.5201708Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5201778Z             {
2022-11-23T01:32:32.5201959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5202072Z                 'code': None,
2022-11-23T01:32:32.5202288Z                 'obj_weakref': <weakref at 0x7f1f29a93b00; to 'Tensor' at 0x7f1fd81a3e70>
2022-11-23T01:32:32.5202540Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5202626Z             }
2022-11-23T01:32:32.5202695Z             
2022-11-23T01:32:32.5202772Z  - 
2022-11-23T01:32:32.5202910Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5202980Z             {
2022-11-23T01:32:32.5203123Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5203293Z                 'code': ['___check_obj_id(model, 139772027428512)'],
2022-11-23T01:32:32.5203417Z                 'obj_weakref': None
2022-11-23T01:32:32.5203649Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5203722Z             }
2022-11-23T01:32:32.5203793Z             
2022-11-23T01:32:32.5203870Z  - 
2022-11-23T01:32:32.5203995Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5204058Z             {
2022-11-23T01:32:32.5204199Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5204421Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5204544Z                 'obj_weakref': None
2022-11-23T01:32:32.5204769Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5204838Z             }
2022-11-23T01:32:32.5204907Z             
2022-11-23T01:32:32.5204978Z  - 
2022-11-23T01:32:32.5205115Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.5205184Z             {
2022-11-23T01:32:32.5205309Z                 'guard_types': None,
2022-11-23T01:32:32.5205422Z                 'code': None,
2022-11-23T01:32:32.5205545Z                 'obj_weakref': None
2022-11-23T01:32:32.5205673Z                 'guarded_class': None
2022-11-23T01:32:32.5205735Z             }
2022-11-23T01:32:32.5205804Z             
2022-11-23T01:32:32.5206068Z [2022-11-23 01:30:44,668] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 795
2022-11-23T01:32:32.5206447Z [2022-11-23 01:30:44,683] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5206814Z [2022-11-23 01:30:44,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hm/chmqkqzvdqvqqmoi3v4z3e3bj6a5unxnozldsfbktwvvrkmh5cd2.py
2022-11-23T01:32:32.5207081Z [2022-11-23 01:30:44,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 795
2022-11-23T01:32:32.5207088Z 
2022-11-23T01:32:32.5207189Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5207269Z import torch
2022-11-23T01:32:32.5207346Z import random
2022-11-23T01:32:32.5207465Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5207593Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5207598Z 
2022-11-23T01:32:32.5207684Z aten = torch.ops.aten
2022-11-23T01:32:32.5207825Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5207928Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5207933Z 
2022-11-23T01:32:32.5208009Z import triton
2022-11-23T01:32:32.5208104Z import triton.language as tl
2022-11-23T01:32:32.5208226Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5208371Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5208376Z 
2022-11-23T01:32:32.5208381Z 
2022-11-23T01:32:32.5208662Z triton_fused_add_4_add_1_unsqueeze_1_unsqueeze_3_unsqueeze_2_unsqueeze_add_add_5_add_3_add_20 = async_compile.triton('''
2022-11-23T01:32:32.5208740Z import triton
2022-11-23T01:32:32.5208834Z import triton.language as tl
2022-11-23T01:32:32.5208980Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5209087Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5209226Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5209349Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5209384Z 
2022-11-23T01:32:32.5209800Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: '*fp32', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:32.5209876Z @triton.jit
2022-11-23T01:32:32.5210040Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5210116Z     xnumel = 16
2022-11-23T01:32:32.5210217Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5210353Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5210443Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5210510Z     x0 = xindex
2022-11-23T01:32:32.5210609Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5210681Z     tmp1 = 1
2022-11-23T01:32:32.5210762Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5210834Z     tmp3 = 2
2022-11-23T01:32:32.5210918Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.5210997Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.5211130Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5211271Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5211407Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5211542Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5211629Z ''')
2022-11-23T01:32:32.5211635Z 
2022-11-23T01:32:32.5211639Z 
2022-11-23T01:32:32.5211735Z async_compile.wait(globals())
2022-11-23T01:32:32.5211812Z del async_compile
2022-11-23T01:32:32.5211817Z 
2022-11-23T01:32:32.5211897Z def call(args):
2022-11-23T01:32:32.5211966Z     arg0_1, = args
2022-11-23T01:32:32.5212042Z     args.clear()
2022-11-23T01:32:32.5212270Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5212493Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5212754Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5212978Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5213071Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5213296Z     triton_fused_add_4_add_1_unsqueeze_1_unsqueeze_3_unsqueeze_2_unsqueeze_add_add_5_add_3_add_20.run(arg0_1, buf0, buf1, buf2, buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.5213365Z     del arg0_1
2022-11-23T01:32:32.5213461Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.5213467Z 
2022-11-23T01:32:32.5213474Z 
2022-11-23T01:32:32.5213556Z if __name__ == "__main__":
2022-11-23T01:32:32.5213679Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5213811Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5214024Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5214143Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5214148Z 
2022-11-23T01:32:32.5214153Z 
2022-11-23T01:32:32.5214254Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5214323Z import torch
2022-11-23T01:32:32.5214399Z import random
2022-11-23T01:32:32.5214522Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5214648Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5214653Z 
2022-11-23T01:32:32.5214738Z aten = torch.ops.aten
2022-11-23T01:32:32.5214881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5215011Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5215017Z 
2022-11-23T01:32:32.5215097Z import triton
2022-11-23T01:32:32.5215185Z import triton.language as tl
2022-11-23T01:32:32.5215314Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5215460Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5215486Z 
2022-11-23T01:32:32.5215490Z 
2022-11-23T01:32:32.5215771Z triton_fused_unsqueeze_1_unsqueeze_3_add_2_unsqueeze_2_add_3_add_add_4_add_5_add_1_unsqueeze0 = async_compile.triton('''
2022-11-23T01:32:32.5215848Z import triton
2022-11-23T01:32:32.5215944Z import triton.language as tl
2022-11-23T01:32:32.5216061Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5216166Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5216298Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5216427Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5216432Z 
2022-11-23T01:32:32.5216849Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: '*fp16', 5: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]})
2022-11-23T01:32:32.5216926Z @triton.jit
2022-11-23T01:32:32.5217095Z def kernel(in_ptr0, out_ptr0, out_ptr1, out_ptr2, out_ptr3, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5217171Z     xnumel = 16
2022-11-23T01:32:32.5217272Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5217406Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5217485Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5217560Z     x0 = xindex
2022-11-23T01:32:32.5217681Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.5217753Z     tmp1 = 1
2022-11-23T01:32:32.5217833Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5217906Z     tmp3 = 2
2022-11-23T01:32:32.5217980Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.5218063Z     tmp5 = tmp0 + tmp3
2022-11-23T01:32:32.5218201Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5218341Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5218476Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5218614Z     tl.store(out_ptr3 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp5, xmask)
2022-11-23T01:32:32.5218702Z ''')
2022-11-23T01:32:32.5218707Z 
2022-11-23T01:32:32.5218711Z 
2022-11-23T01:32:32.5219395Z async_compile.wait(globals())
2022-11-23T01:32:32.5219474Z del async_compile
2022-11-23T01:32:32.5219486Z 
2022-11-23T01:32:32.5219556Z def call(args):
2022-11-23T01:32:32.5219632Z     arg0_1, = args
2022-11-23T01:32:32.5219708Z     args.clear()
2022-11-23T01:32:32.5219930Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5220151Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5220365Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5220577Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5220666Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5220893Z     triton_fused_unsqueeze_1_unsqueeze_3_add_2_unsqueeze_2_add_3_add_add_4_add_5_add_1_unsqueeze0.run(arg0_1, buf0, buf1, buf2, buf3, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.5220968Z     del arg0_1
2022-11-23T01:32:32.5221062Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:32.5221068Z 
2022-11-23T01:32:32.5221072Z 
2022-11-23T01:32:32.5221154Z if __name__ == "__main__":
2022-11-23T01:32:32.5221277Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5221407Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5221694Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5221803Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5221815Z 
2022-11-23T01:32:32.5221880Z ok (0.337s)
2022-11-23T01:32:32.5222206Z   test_unsqueeze_inplace_cuda (__main__.CudaTests) ... [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5222553Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5222775Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5223031Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5223312Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5223635Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5223976Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5224301Z [2022-11-23 01:30:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5224666Z [2022-11-23 01:30:44,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314> 
2022-11-23T01:32:32.5224768Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5224867Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5224946Z                4 BINARY_ADD
2022-11-23T01:32:32.5225048Z                6 STORE_FAST               1 (tmp1)
2022-11-23T01:32:32.5225057Z 
2022-11-23T01:32:32.5225157Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5225267Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:32.5225368Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:32.5225461Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:32.5225556Z               16 CALL_METHOD              2
2022-11-23T01:32:32.5225634Z               18 POP_TOP
2022-11-23T01:32:32.5225640Z 
2022-11-23T01:32:32.5225741Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5225850Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:32.5225948Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5226044Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5226123Z               28 BINARY_ADD
2022-11-23T01:32:32.5226212Z               30 LOAD_CONST               3 (0)
2022-11-23T01:32:32.5226307Z               32 CALL_METHOD              2
2022-11-23T01:32:32.5226406Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:32.5226484Z               36 BINARY_ADD
2022-11-23T01:32:32.5226584Z               38 STORE_FAST               2 (tmp2)
2022-11-23T01:32:32.5226589Z 
2022-11-23T01:32:32.5226688Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:32.5226788Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T01:32:32.5226877Z               44 BUILD_TUPLE              2
2022-11-23T01:32:32.5226959Z               46 RETURN_VALUE
2022-11-23T01:32:32.5227026Z  
2022-11-23T01:32:32.5227031Z 
2022-11-23T01:32:32.5227353Z [2022-11-23 01:30:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315
2022-11-23T01:32:32.5227572Z [2022-11-23 01:30:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.5227817Z [2022-11-23 01:30:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.5228137Z [2022-11-23 01:30:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5228387Z [2022-11-23 01:30:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T01:32:32.5228717Z [2022-11-23 01:30:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316
2022-11-23T01:32:32.5228935Z [2022-11-23 01:30:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5229254Z [2022-11-23 01:30:44,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5229524Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:32.5229825Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5230160Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5230574Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:32.5230929Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317
2022-11-23T01:32:32.5231705Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5232027Z [2022-11-23 01:30:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5232324Z [2022-11-23 01:30:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:32.5232629Z [2022-11-23 01:30:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5232963Z [2022-11-23 01:30:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5233252Z [2022-11-23 01:30:44,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5233579Z [2022-11-23 01:30:44,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5233827Z [2022-11-23 01:30:44,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.5234112Z [2022-11-23 01:30:44,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5234363Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:32.5234676Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318
2022-11-23T01:32:32.5234899Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T01:32:32.5235145Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:32.5235412Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5235665Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5236081Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314>
2022-11-23T01:32:32.5236336Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5236576Z [2022-11-23 01:30:44,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5236861Z [2022-11-23 01:30:44,773] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5237117Z [2022-11-23 01:30:44,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5237315Z [2022-11-23 01:30:44,777] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5237461Z  __compiled_fn_814 <eval_with_key>.5004 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5237549Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5237729Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5237863Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T01:32:32.5238045Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5238177Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T01:32:32.5238370Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T01:32:32.5238483Z output, output, output, ((add, add_2),), {}
2022-11-23T01:32:32.5238488Z 
2022-11-23T01:32:32.5238819Z [2022-11-23 01:30:44,778] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5238914Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5239012Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5239107Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5239208Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5239301Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5239397Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5239482Z              12 RETURN_VALUE
2022-11-23T01:32:32.5239487Z 
2022-11-23T01:32:32.5239547Z  
2022-11-23T01:32:32.5239870Z [2022-11-23 01:30:44,778] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5239991Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_814)
2022-11-23T01:32:32.5240090Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5240190Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5240273Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5240372Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5240485Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5240590Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5240687Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5240770Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5240884Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5240983Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5241064Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5241161Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5241239Z              26 RETURN_VALUE
2022-11-23T01:32:32.5241244Z 
2022-11-23T01:32:32.5241314Z  
2022-11-23T01:32:32.5241503Z [2022-11-23 01:30:44,778] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5241581Z  - 
2022-11-23T01:32:32.5241707Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5241779Z             {
2022-11-23T01:32:32.5241928Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5242116Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5242244Z                 'obj_weakref': None
2022-11-23T01:32:32.5242473Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5242594Z             }
2022-11-23T01:32:32.5242666Z             
2022-11-23T01:32:32.5242747Z  - 
2022-11-23T01:32:32.5242900Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5242976Z             {
2022-11-23T01:32:32.5243137Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5243274Z                 'code': None,
2022-11-23T01:32:32.5243496Z                 'obj_weakref': <weakref at 0x7f1ffad458f0; to 'Tensor' at 0x7f1fe819fec0>
2022-11-23T01:32:32.5243757Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5243828Z             }
2022-11-23T01:32:32.5243897Z             
2022-11-23T01:32:32.5243967Z  - 
2022-11-23T01:32:32.5244104Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5244173Z             {
2022-11-23T01:32:32.5244315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5244492Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5244621Z                 'obj_weakref': None
2022-11-23T01:32:32.5244860Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5244922Z             }
2022-11-23T01:32:32.5244993Z             
2022-11-23T01:32:32.5245075Z  - 
2022-11-23T01:32:32.5245204Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5245271Z             {
2022-11-23T01:32:32.5245414Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5245637Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5245753Z                 'obj_weakref': None
2022-11-23T01:32:32.5245979Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5246049Z             }
2022-11-23T01:32:32.5246116Z             
2022-11-23T01:32:32.5246194Z  - 
2022-11-23T01:32:32.5246332Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5246403Z             {
2022-11-23T01:32:32.5246522Z                 'guard_types': None,
2022-11-23T01:32:32.5246635Z                 'code': None,
2022-11-23T01:32:32.5246758Z                 'obj_weakref': None
2022-11-23T01:32:32.5246885Z                 'guarded_class': None
2022-11-23T01:32:32.5246957Z             }
2022-11-23T01:32:32.5247025Z             
2022-11-23T01:32:32.5247291Z [2022-11-23 01:30:44,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 796
2022-11-23T01:32:32.5247582Z [2022-11-23 01:30:44,793] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5247941Z [2022-11-23 01:30:44,856] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/43/c43fi44x7ypaavmw22q6pm33wpf6yojzcrqbmok7edpu5mmtas3z.py
2022-11-23T01:32:32.5248211Z [2022-11-23 01:30:44,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 796
2022-11-23T01:32:32.5248456Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5248779Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5249004Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5249261Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5249549Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5249873Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5250250Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5250568Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5250946Z [2022-11-23 01:30:44,859] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314> 
2022-11-23T01:32:32.5251073Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5251177Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5251257Z                4 BINARY_ADD
2022-11-23T01:32:32.5251359Z                6 STORE_FAST               1 (tmp1)
2022-11-23T01:32:32.5251364Z 
2022-11-23T01:32:32.5251464Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5251576Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:32.5251677Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:32.5251771Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:32.5251866Z               16 CALL_METHOD              2
2022-11-23T01:32:32.5251946Z               18 POP_TOP
2022-11-23T01:32:32.5251952Z 
2022-11-23T01:32:32.5252056Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5252169Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:32.5252270Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5252367Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:32.5252439Z               28 BINARY_ADD
2022-11-23T01:32:32.5252542Z               30 LOAD_CONST               3 (0)
2022-11-23T01:32:32.5252654Z               32 CALL_METHOD              2
2022-11-23T01:32:32.5252764Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:32.5252854Z               36 BINARY_ADD
2022-11-23T01:32:32.5252953Z               38 STORE_FAST               2 (tmp2)
2022-11-23T01:32:32.5252958Z 
2022-11-23T01:32:32.5253057Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:32.5253145Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T01:32:32.5253242Z               44 BUILD_TUPLE              2
2022-11-23T01:32:32.5253323Z               46 RETURN_VALUE
2022-11-23T01:32:32.5253392Z  
2022-11-23T01:32:32.5253397Z 
2022-11-23T01:32:32.5253715Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315
2022-11-23T01:32:32.5253930Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.5254175Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.5254456Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5254713Z [2022-11-23 01:30:44,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T01:32:32.5255015Z [2022-11-23 01:30:44,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316
2022-11-23T01:32:32.5255238Z [2022-11-23 01:30:44,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5255552Z [2022-11-23 01:30:44,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5255818Z [2022-11-23 01:30:44,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:32.5256106Z [2022-11-23 01:30:44,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5256435Z [2022-11-23 01:30:44,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5256706Z [2022-11-23 01:30:44,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:32.5257019Z [2022-11-23 01:30:44,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317
2022-11-23T01:32:32.5257260Z [2022-11-23 01:30:44,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5257570Z [2022-11-23 01:30:44,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5257825Z [2022-11-23 01:30:44,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:32.5258112Z [2022-11-23 01:30:44,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5258439Z [2022-11-23 01:30:44,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5258721Z [2022-11-23 01:30:44,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:32.5259502Z [2022-11-23 01:30:44,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5259744Z [2022-11-23 01:30:44,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.5260024Z [2022-11-23 01:30:44,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5260273Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:32.5260586Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318
2022-11-23T01:32:32.5260804Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T01:32:32.5261043Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:32.5261316Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5261564Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5261937Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f223f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314>
2022-11-23T01:32:32.5262185Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5262423Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5262678Z [2022-11-23 01:30:44,876] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5262931Z [2022-11-23 01:30:44,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5263125Z [2022-11-23 01:30:44,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5263268Z  __compiled_fn_815 <eval_with_key>.5010 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5263357Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5263533Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5263662Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T01:32:32.5263841Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.5263975Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T01:32:32.5264259Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T01:32:32.5264373Z output, output, output, ((add, add_2),), {}
2022-11-23T01:32:32.5264379Z 
2022-11-23T01:32:32.5264706Z [2022-11-23 01:30:44,882] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5264844Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5264942Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5265037Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5265137Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5265229Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5265325Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5265408Z              12 RETURN_VALUE
2022-11-23T01:32:32.5265413Z 
2022-11-23T01:32:32.5265472Z  
2022-11-23T01:32:32.5265795Z [2022-11-23 01:30:44,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5265916Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_815)
2022-11-23T01:32:32.5266013Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5266110Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5266197Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5266291Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5266396Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5266506Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5266604Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5266688Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5266799Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5266895Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5266975Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5267071Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5267146Z              26 RETURN_VALUE
2022-11-23T01:32:32.5267151Z 
2022-11-23T01:32:32.5267218Z  
2022-11-23T01:32:32.5267408Z [2022-11-23 01:30:44,882] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5267485Z  - 
2022-11-23T01:32:32.5267614Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5267684Z             {
2022-11-23T01:32:32.5267831Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5268014Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5268137Z                 'obj_weakref': None
2022-11-23T01:32:32.5268364Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5268435Z             }
2022-11-23T01:32:32.5268505Z             
2022-11-23T01:32:32.5268581Z  - 
2022-11-23T01:32:32.5268712Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5268775Z             {
2022-11-23T01:32:32.5268925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5269038Z                 'code': None,
2022-11-23T01:32:32.5269250Z                 'obj_weakref': <weakref at 0x7f1fd81982c0; to 'Tensor' at 0x7f1f29a91710>
2022-11-23T01:32:32.5269501Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5269574Z             }
2022-11-23T01:32:32.5269643Z             
2022-11-23T01:32:32.5269712Z  - 
2022-11-23T01:32:32.5269848Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5269917Z             {
2022-11-23T01:32:32.5270057Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5270230Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5270517Z                 'obj_weakref': None
2022-11-23T01:32:32.5270780Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5270855Z             }
2022-11-23T01:32:32.5271008Z             
2022-11-23T01:32:32.5271798Z  - 
2022-11-23T01:32:32.5271940Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5272010Z             {
2022-11-23T01:32:32.5272155Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5272375Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5272561Z                 'obj_weakref': None
2022-11-23T01:32:32.5272784Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5272853Z             }
2022-11-23T01:32:32.5272921Z             
2022-11-23T01:32:32.5272997Z  - 
2022-11-23T01:32:32.5273132Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5273202Z             {
2022-11-23T01:32:32.5273320Z                 'guard_types': None,
2022-11-23T01:32:32.5273432Z                 'code': None,
2022-11-23T01:32:32.5273554Z                 'obj_weakref': None
2022-11-23T01:32:32.5273682Z                 'guarded_class': None
2022-11-23T01:32:32.5273751Z             }
2022-11-23T01:32:32.5273820Z             
2022-11-23T01:32:32.5274080Z [2022-11-23 01:30:44,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 797
2022-11-23T01:32:32.5274365Z [2022-11-23 01:30:44,897] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5274733Z [2022-11-23 01:30:44,961] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pb/cpbgwgplxvb4a3qfgyye7wl5sqrzxadxfh3lh43k43x4re6a43rx.py
2022-11-23T01:32:32.5275001Z [2022-11-23 01:30:44,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 797
2022-11-23T01:32:32.5275007Z 
2022-11-23T01:32:32.5275112Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5275188Z import torch
2022-11-23T01:32:32.5275263Z import random
2022-11-23T01:32:32.5275389Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5275520Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5275525Z 
2022-11-23T01:32:32.5275603Z aten = torch.ops.aten
2022-11-23T01:32:32.5275745Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5275844Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5275853Z 
2022-11-23T01:32:32.5275927Z import triton
2022-11-23T01:32:32.5276022Z import triton.language as tl
2022-11-23T01:32:32.5276151Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5276296Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5276301Z 
2022-11-23T01:32:32.5276306Z 
2022-11-23T01:32:32.5276480Z triton_fused_add_1_add_add_20 = async_compile.triton('''
2022-11-23T01:32:32.5276549Z import triton
2022-11-23T01:32:32.5276643Z import triton.language as tl
2022-11-23T01:32:32.5276760Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5276866Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5277005Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5277134Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5277140Z 
2022-11-23T01:32:32.5277527Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5277607Z @triton.jit
2022-11-23T01:32:32.5277747Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5277823Z     xnumel = 16
2022-11-23T01:32:32.5277923Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5278057Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5278142Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5278214Z     x0 = xindex
2022-11-23T01:32:32.5278315Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.5278380Z     tmp1 = 1
2022-11-23T01:32:32.5278495Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5278571Z     tmp3 = 2
2022-11-23T01:32:32.5278650Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.5278793Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.5278932Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5279040Z ''')
2022-11-23T01:32:32.5279045Z 
2022-11-23T01:32:32.5279050Z 
2022-11-23T01:32:32.5279138Z async_compile.wait(globals())
2022-11-23T01:32:32.5279217Z del async_compile
2022-11-23T01:32:32.5279222Z 
2022-11-23T01:32:32.5279298Z def call(args):
2022-11-23T01:32:32.5279372Z     arg0_1, = args
2022-11-23T01:32:32.5279449Z     args.clear()
2022-11-23T01:32:32.5279661Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5279880Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5279973Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5280125Z     triton_fused_add_1_add_add_20.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.5280199Z     del arg0_1
2022-11-23T01:32:32.5280320Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T01:32:32.5280326Z 
2022-11-23T01:32:32.5280332Z 
2022-11-23T01:32:32.5280415Z if __name__ == "__main__":
2022-11-23T01:32:32.5280536Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5280664Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5280875Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5280990Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5280995Z 
2022-11-23T01:32:32.5281000Z 
2022-11-23T01:32:32.5281092Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5281171Z import torch
2022-11-23T01:32:32.5281246Z import random
2022-11-23T01:32:32.5281367Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5281499Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5281504Z 
2022-11-23T01:32:32.5281588Z aten = torch.ops.aten
2022-11-23T01:32:32.5281727Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5281818Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5281833Z 
2022-11-23T01:32:32.5281902Z import triton
2022-11-23T01:32:32.5281995Z import triton.language as tl
2022-11-23T01:32:32.5282127Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5282269Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5282274Z 
2022-11-23T01:32:32.5282279Z 
2022-11-23T01:32:32.5282456Z triton_fused_add_1_add_add_20 = async_compile.triton('''
2022-11-23T01:32:32.5282532Z import triton
2022-11-23T01:32:32.5282626Z import triton.language as tl
2022-11-23T01:32:32.5282740Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5282864Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5283026Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5283156Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5283161Z 
2022-11-23T01:32:32.5283549Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5283627Z @triton.jit
2022-11-23T01:32:32.5283774Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5283849Z     xnumel = 16
2022-11-23T01:32:32.5283941Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5284074Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5284162Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5284235Z     x0 = xindex
2022-11-23T01:32:32.5284357Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.5284430Z     tmp1 = 1
2022-11-23T01:32:32.5284556Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.5284622Z     tmp3 = 2
2022-11-23T01:32:32.5284702Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.5284842Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.5284978Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5285090Z ''')
2022-11-23T01:32:32.5285095Z 
2022-11-23T01:32:32.5285099Z 
2022-11-23T01:32:32.5285195Z async_compile.wait(globals())
2022-11-23T01:32:32.5285276Z del async_compile
2022-11-23T01:32:32.5285281Z 
2022-11-23T01:32:32.5285357Z def call(args):
2022-11-23T01:32:32.5285425Z     arg0_1, = args
2022-11-23T01:32:32.5285502Z     args.clear()
2022-11-23T01:32:32.5285714Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5285935Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5286026Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5286184Z     triton_fused_add_1_add_add_20.run(arg0_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.5286261Z     del arg0_1
2022-11-23T01:32:32.5286375Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T01:32:32.5286380Z 
2022-11-23T01:32:32.5286397Z 
2022-11-23T01:32:32.5286472Z if __name__ == "__main__":
2022-11-23T01:32:32.5286592Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5286722Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5286933Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5287050Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5287055Z 
2022-11-23T01:32:32.5287133Z ok (0.209s)
2022-11-23T01:32:32.5287460Z   test_upsample_bicubic2d_cuda (__main__.CudaTests) ... [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5287783Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5287998Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5288255Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5288536Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5288857Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5289200Z [2022-11-23 01:30:44,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5289526Z [2022-11-23 01:30:44,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5289895Z [2022-11-23 01:30:44,966] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074> 
2022-11-23T01:32:32.5290002Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5290129Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:32.5290229Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5290328Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T01:32:32.5290428Z                8 LOAD_CONST               2 (True)
2022-11-23T01:32:32.5290523Z               10 CALL_METHOD              3
2022-11-23T01:32:32.5290528Z 
2022-11-23T01:32:32.5290628Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5290748Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:32.5290890Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5290997Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T01:32:32.5291090Z               20 LOAD_CONST               4 (False)
2022-11-23T01:32:32.5291185Z               22 CALL_METHOD              3
2022-11-23T01:32:32.5291210Z 
2022-11-23T01:32:32.5291310Z 3075          24 BUILD_TUPLE              2
2022-11-23T01:32:32.5291392Z               26 RETURN_VALUE
2022-11-23T01:32:32.5291459Z  
2022-11-23T01:32:32.5291464Z 
2022-11-23T01:32:32.5291781Z [2022-11-23 01:30:44,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076
2022-11-23T01:32:32.5292007Z [2022-11-23 01:30:44,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5292336Z [2022-11-23 01:30:44,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5292613Z [2022-11-23 01:30:44,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:32.5292918Z [2022-11-23 01:30:44,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:32.5293268Z [2022-11-23 01:30:44,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5293651Z [2022-11-23 01:30:44,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:32.5293964Z [2022-11-23 01:30:45,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077
2022-11-23T01:32:32.5294214Z [2022-11-23 01:30:45,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5294572Z [2022-11-23 01:30:45,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5294880Z [2022-11-23 01:30:45,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:32.5295225Z [2022-11-23 01:30:45,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:32.5295604Z [2022-11-23 01:30:45,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5296022Z [2022-11-23 01:30:45,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:32.5296339Z [2022-11-23 01:30:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075
2022-11-23T01:32:32.5296613Z [2022-11-23 01:30:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5296861Z [2022-11-23 01:30:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5297241Z [2022-11-23 01:30:45,207] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074>
2022-11-23T01:32:32.5297492Z [2022-11-23 01:30:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5297736Z [2022-11-23 01:30:45,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5298022Z [2022-11-23 01:30:45,209] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5298280Z [2022-11-23 01:30:45,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5298509Z [2022-11-23 01:30:45,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5298652Z  __compiled_fn_816 <eval_with_key>.5016 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5298749Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5299313Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T01:32:32.5299477Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T01:32:32.5299627Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T01:32:32.5299632Z 
2022-11-23T01:32:32.5299973Z [2022-11-23 01:30:45,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5300076Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5300175Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5300273Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5300379Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5300465Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5300561Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5300643Z              12 RETURN_VALUE
2022-11-23T01:32:32.5300649Z 
2022-11-23T01:32:32.5300715Z  
2022-11-23T01:32:32.5301042Z [2022-11-23 01:30:45,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5301163Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_816)
2022-11-23T01:32:32.5301260Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5301362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5301438Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5301535Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5301647Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5301760Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5301858Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5301941Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5302051Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5302141Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5302223Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5302319Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5302402Z              26 RETURN_VALUE
2022-11-23T01:32:32.5302408Z 
2022-11-23T01:32:32.5302474Z  
2022-11-23T01:32:32.5302691Z [2022-11-23 01:30:45,413] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5302784Z  - 
2022-11-23T01:32:32.5302912Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5302983Z             {
2022-11-23T01:32:32.5303131Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5303325Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5303452Z                 'obj_weakref': None
2022-11-23T01:32:32.5303679Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5303749Z             }
2022-11-23T01:32:32.5303811Z             
2022-11-23T01:32:32.5303888Z  - 
2022-11-23T01:32:32.5304017Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5304087Z             {
2022-11-23T01:32:32.5304235Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5304348Z                 'code': None,
2022-11-23T01:32:32.5304564Z                 'obj_weakref': <weakref at 0x7f1fd819b330; to 'Tensor' at 0x7f1fd81a3e70>
2022-11-23T01:32:32.5304910Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5304982Z             }
2022-11-23T01:32:32.5305051Z             
2022-11-23T01:32:32.5305127Z  - 
2022-11-23T01:32:32.5305266Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5305366Z             {
2022-11-23T01:32:32.5305508Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5305676Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5305801Z                 'obj_weakref': None
2022-11-23T01:32:32.5306034Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5306106Z             }
2022-11-23T01:32:32.5306175Z             
2022-11-23T01:32:32.5306251Z  - 
2022-11-23T01:32:32.5306379Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5306441Z             {
2022-11-23T01:32:32.5306582Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5306805Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5306929Z                 'obj_weakref': None
2022-11-23T01:32:32.5307155Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5307228Z             }
2022-11-23T01:32:32.5307297Z             
2022-11-23T01:32:32.5307366Z  - 
2022-11-23T01:32:32.5307503Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5307572Z             {
2022-11-23T01:32:32.5307702Z                 'guard_types': None,
2022-11-23T01:32:32.5307814Z                 'code': None,
2022-11-23T01:32:32.5307938Z                 'obj_weakref': None
2022-11-23T01:32:32.5308064Z                 'guarded_class': None
2022-11-23T01:32:32.5308126Z             }
2022-11-23T01:32:32.5308195Z             
2022-11-23T01:32:32.5308463Z [2022-11-23 01:30:45,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 798
2022-11-23T01:32:32.5308718Z [2022-11-23 01:30:45,782] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.5308968Z [2022-11-23 01:30:45,819] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5308977Z 
2022-11-23T01:32:32.5309080Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5309159Z import torch
2022-11-23T01:32:32.5309235Z import random
2022-11-23T01:32:32.5309351Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5309480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5309486Z 
2022-11-23T01:32:32.5309570Z aten = torch.ops.aten
2022-11-23T01:32:32.5309711Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5309809Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5309814Z 
2022-11-23T01:32:32.5309889Z import triton
2022-11-23T01:32:32.5309981Z import triton.language as tl
2022-11-23T01:32:32.5310106Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5310386Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5310392Z 
2022-11-23T01:32:32.5310398Z 
2022-11-23T01:32:32.5310610Z triton_fused_upsample_bicubic2d0 = async_compile.triton('''
2022-11-23T01:32:32.5310702Z import triton
2022-11-23T01:32:32.5310811Z import triton.language as tl
2022-11-23T01:32:32.5310943Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5311061Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5311754Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5311879Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5311884Z 
2022-11-23T01:32:32.5312264Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5312336Z @triton.jit
2022-11-23T01:32:32.5312511Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5312588Z     xnumel = 196608
2022-11-23T01:32:32.5312688Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5312821Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5312927Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5312996Z     x0 = xindex % 128
2022-11-23T01:32:32.5313080Z     x1 = (xindex // 128) % 128
2022-11-23T01:32:32.5313164Z     x2 = (xindex // 16384)
2022-11-23T01:32:32.5313235Z     x4 = xindex
2022-11-23T01:32:32.5313306Z     tmp0 = x0
2022-11-23T01:32:32.5313391Z     tmp1 = 0.2440944881889764 * tmp0
2022-11-23T01:32:32.5313483Z     tmp2 = tl.libdevice.floor(tmp1)
2022-11-23T01:32:32.5313596Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:32.5313670Z     tmp4 = x1
2022-11-23T01:32:32.5313755Z     tmp5 = 0.49606299212598426 * tmp4
2022-11-23T01:32:32.5313853Z     tmp6 = tl.libdevice.floor(tmp5)
2022-11-23T01:32:32.5313961Z     tmp7 = tmp5 - tmp6
2022-11-23T01:32:32.5314049Z     tmp8 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5314128Z     tmp9 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5314221Z     tmp10 = tmp8 + -1
2022-11-23T01:32:32.5314298Z     tmp11 = tmp8 + 0
2022-11-23T01:32:32.5314373Z     tmp12 = tmp8 + 1
2022-11-23T01:32:32.5314451Z     tmp13 = tmp8 + 2
2022-11-23T01:32:32.5314543Z     tmp14 = tmp9 + -1
2022-11-23T01:32:32.5314619Z     tmp15 = tmp9 + 0
2022-11-23T01:32:32.5314686Z     tmp16 = tmp9 + 1
2022-11-23T01:32:32.5314759Z     tmp17 = tmp9 + 2
2022-11-23T01:32:32.5314850Z     tmp18 = tl.minimum(63, tmp10)
2022-11-23T01:32:32.5314943Z     tmp19 = tl.maximum(0, tmp18)
2022-11-23T01:32:32.5315032Z     tmp20 = tl.minimum(31, tmp14)
2022-11-23T01:32:32.5315125Z     tmp21 = tl.maximum(0, tmp20)
2022-11-23T01:32:32.5315282Z     tmp22 = tl.load(in_ptr0 + (tmp21 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5315363Z     tmp23 = tl.minimum(31, tmp15)
2022-11-23T01:32:32.5315452Z     tmp24 = tl.maximum(0, tmp23)
2022-11-23T01:32:32.5315610Z     tmp25 = tl.load(in_ptr0 + (tmp24 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5315698Z     tmp26 = tl.minimum(31, tmp16)
2022-11-23T01:32:32.5315785Z     tmp27 = tl.maximum(0, tmp26)
2022-11-23T01:32:32.5315931Z     tmp28 = tl.load(in_ptr0 + (tmp27 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5316023Z     tmp29 = tl.minimum(31, tmp17)
2022-11-23T01:32:32.5316103Z     tmp30 = tl.maximum(0, tmp29)
2022-11-23T01:32:32.5316250Z     tmp31 = tl.load(in_ptr0 + (tmp30 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5316329Z     tmp32 = tmp3 + 1.0
2022-11-23T01:32:32.5316442Z     tmp33 = -0.75 * tmp32
2022-11-23T01:32:32.5316556Z     tmp34 = tmp33 - -3.75
2022-11-23T01:32:32.5316638Z     tmp35 = tmp34 * tmp32
2022-11-23T01:32:32.5316751Z     tmp36 = tmp35 + -6.0
2022-11-23T01:32:32.5316824Z     tmp37 = tmp36 * tmp32
2022-11-23T01:32:32.5316934Z     tmp38 = tmp37 - -3.0
2022-11-23T01:32:32.5317015Z     tmp39 = 1.25 * tmp3
2022-11-23T01:32:32.5317124Z     tmp40 = tmp39 - 2.25
2022-11-23T01:32:32.5317203Z     tmp41 = tmp40 * tmp3
2022-11-23T01:32:32.5317282Z     tmp42 = tmp41 * tmp3
2022-11-23T01:32:32.5317360Z     tmp43 = tmp42 + 1.0
2022-11-23T01:32:32.5317461Z     tmp44 = 1.0 - tmp3
2022-11-23T01:32:32.5317537Z     tmp45 = 1.25 * tmp44
2022-11-23T01:32:32.5317646Z     tmp46 = tmp45 - 2.25
2022-11-23T01:32:32.5317726Z     tmp47 = tmp46 * tmp44
2022-11-23T01:32:32.5317806Z     tmp48 = tmp47 * tmp44
2022-11-23T01:32:32.5317888Z     tmp49 = tmp48 + 1.0
2022-11-23T01:32:32.5317958Z     tmp50 = tmp44 + 1.0
2022-11-23T01:32:32.5318068Z     tmp51 = -0.75 * tmp50
2022-11-23T01:32:32.5318179Z     tmp52 = tmp51 - -3.75
2022-11-23T01:32:32.5318259Z     tmp53 = tmp52 * tmp50
2022-11-23T01:32:32.5318372Z     tmp54 = tmp53 + -6.0
2022-11-23T01:32:32.5318451Z     tmp55 = tmp54 * tmp50
2022-11-23T01:32:32.5318560Z     tmp56 = tmp55 - -3.0
2022-11-23T01:32:32.5318632Z     tmp57 = tmp22 * tmp38
2022-11-23T01:32:32.5318744Z     tmp58 = tmp25 * tmp43
2022-11-23T01:32:32.5318825Z     tmp59 = tmp28 * tmp49
2022-11-23T01:32:32.5318904Z     tmp60 = tmp31 * tmp56
2022-11-23T01:32:32.5318982Z     tmp61 = tmp59 + tmp60
2022-11-23T01:32:32.5319061Z     tmp62 = tmp58 + tmp61
2022-11-23T01:32:32.5319172Z     tmp63 = tmp57 + tmp62
2022-11-23T01:32:32.5319253Z     tmp64 = tl.minimum(63, tmp11)
2022-11-23T01:32:32.5319341Z     tmp65 = tl.maximum(0, tmp64)
2022-11-23T01:32:32.5319492Z     tmp66 = tl.load(in_ptr0 + (tmp21 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5319637Z     tmp67 = tl.load(in_ptr0 + (tmp24 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5319784Z     tmp68 = tl.load(in_ptr0 + (tmp27 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5319928Z     tmp69 = tl.load(in_ptr0 + (tmp30 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5320007Z     tmp70 = tmp66 * tmp38
2022-11-23T01:32:32.5320081Z     tmp71 = tmp67 * tmp43
2022-11-23T01:32:32.5320161Z     tmp72 = tmp68 * tmp49
2022-11-23T01:32:32.5320240Z     tmp73 = tmp69 * tmp56
2022-11-23T01:32:32.5320317Z     tmp74 = tmp72 + tmp73
2022-11-23T01:32:32.5320394Z     tmp75 = tmp71 + tmp74
2022-11-23T01:32:32.5320475Z     tmp76 = tmp70 + tmp75
2022-11-23T01:32:32.5320564Z     tmp77 = tl.minimum(63, tmp12)
2022-11-23T01:32:32.5320647Z     tmp78 = tl.maximum(0, tmp77)
2022-11-23T01:32:32.5320799Z     tmp79 = tl.load(in_ptr0 + (tmp21 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5320946Z     tmp80 = tl.load(in_ptr0 + (tmp24 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5321092Z     tmp81 = tl.load(in_ptr0 + (tmp27 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5321240Z     tmp82 = tl.load(in_ptr0 + (tmp30 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5321322Z     tmp83 = tmp79 * tmp38
2022-11-23T01:32:32.5321406Z     tmp84 = tmp80 * tmp43
2022-11-23T01:32:32.5321484Z     tmp85 = tmp81 * tmp49
2022-11-23T01:32:32.5321556Z     tmp86 = tmp82 * tmp56
2022-11-23T01:32:32.5321633Z     tmp87 = tmp85 + tmp86
2022-11-23T01:32:32.5321710Z     tmp88 = tmp84 + tmp87
2022-11-23T01:32:32.5321789Z     tmp89 = tmp83 + tmp88
2022-11-23T01:32:32.5321879Z     tmp90 = tl.minimum(63, tmp13)
2022-11-23T01:32:32.5321970Z     tmp91 = tl.maximum(0, tmp90)
2022-11-23T01:32:32.5322114Z     tmp92 = tl.load(in_ptr0 + (tmp21 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5322250Z     tmp93 = tl.load(in_ptr0 + (tmp24 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5322410Z     tmp94 = tl.load(in_ptr0 + (tmp27 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5322571Z     tmp95 = tl.load(in_ptr0 + (tmp30 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5322664Z     tmp96 = tmp92 * tmp38
2022-11-23T01:32:32.5322744Z     tmp97 = tmp93 * tmp43
2022-11-23T01:32:32.5322822Z     tmp98 = tmp94 * tmp49
2022-11-23T01:32:32.5322899Z     tmp99 = tmp95 * tmp56
2022-11-23T01:32:32.5322972Z     tmp100 = tmp98 + tmp99
2022-11-23T01:32:32.5323054Z     tmp101 = tmp97 + tmp100
2022-11-23T01:32:32.5323135Z     tmp102 = tmp96 + tmp101
2022-11-23T01:32:32.5323216Z     tmp103 = tmp7 + 1.0
2022-11-23T01:32:32.5323333Z     tmp104 = -0.75 * tmp103
2022-11-23T01:32:32.5323449Z     tmp105 = tmp104 - -3.75
2022-11-23T01:32:32.5323531Z     tmp106 = tmp105 * tmp103
2022-11-23T01:32:32.5323638Z     tmp107 = tmp106 + -6.0
2022-11-23T01:32:32.5323719Z     tmp108 = tmp107 * tmp103
2022-11-23T01:32:32.5323833Z     tmp109 = tmp108 - -3.0
2022-11-23T01:32:32.5323911Z     tmp110 = 1.25 * tmp7
2022-11-23T01:32:32.5324027Z     tmp111 = tmp110 - 2.25
2022-11-23T01:32:32.5324106Z     tmp112 = tmp111 * tmp7
2022-11-23T01:32:32.5324185Z     tmp113 = tmp112 * tmp7
2022-11-23T01:32:32.5324257Z     tmp114 = tmp113 + 1.0
2022-11-23T01:32:32.5324399Z     tmp115 = 1.0 - tmp7
2022-11-23T01:32:32.5324479Z     tmp116 = 1.25 * tmp115
2022-11-23T01:32:32.5324592Z     tmp117 = tmp116 - 2.25
2022-11-23T01:32:32.5324675Z     tmp118 = tmp117 * tmp115
2022-11-23T01:32:32.5324755Z     tmp119 = tmp118 * tmp115
2022-11-23T01:32:32.5324860Z     tmp120 = tmp119 + 1.0
2022-11-23T01:32:32.5324931Z     tmp121 = tmp115 + 1.0
2022-11-23T01:32:32.5325044Z     tmp122 = -0.75 * tmp121
2022-11-23T01:32:32.5325158Z     tmp123 = tmp122 - -3.75
2022-11-23T01:32:32.5325240Z     tmp124 = tmp123 * tmp121
2022-11-23T01:32:32.5325353Z     tmp125 = tmp124 + -6.0
2022-11-23T01:32:32.5325433Z     tmp126 = tmp125 * tmp121
2022-11-23T01:32:32.5325538Z     tmp127 = tmp126 - -3.0
2022-11-23T01:32:32.5325619Z     tmp128 = tmp63 * tmp109
2022-11-23T01:32:32.5325702Z     tmp129 = tmp76 * tmp114
2022-11-23T01:32:32.5325781Z     tmp130 = tmp89 * tmp120
2022-11-23T01:32:32.5325860Z     tmp131 = tmp102 * tmp127
2022-11-23T01:32:32.5325942Z     tmp132 = tmp130 + tmp131
2022-11-23T01:32:32.5326023Z     tmp133 = tmp129 + tmp132
2022-11-23T01:32:32.5326095Z     tmp134 = tmp128 + tmp133
2022-11-23T01:32:32.5326235Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp134, xmask)
2022-11-23T01:32:32.5326322Z ''')
2022-11-23T01:32:32.5326331Z 
2022-11-23T01:32:32.5326335Z 
2022-11-23T01:32:32.5326525Z triton_fused_upsample_bicubic2d_11 = async_compile.triton('''
2022-11-23T01:32:32.5326603Z import triton
2022-11-23T01:32:32.5326695Z import triton.language as tl
2022-11-23T01:32:32.5326811Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5326913Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5327044Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5327174Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5327179Z 
2022-11-23T01:32:32.5327559Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5327633Z @triton.jit
2022-11-23T01:32:32.5327766Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5327841Z     xnumel = 393216
2022-11-23T01:32:32.5327939Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5328068Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5328152Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5328227Z     x0 = xindex % 256
2022-11-23T01:32:32.5328311Z     x1 = (xindex // 256) % 128
2022-11-23T01:32:32.5328393Z     x2 = (xindex // 32768)
2022-11-23T01:32:32.5328466Z     x4 = xindex
2022-11-23T01:32:32.5328538Z     tmp0 = x0
2022-11-23T01:32:32.5328610Z     tmp1 = tmp0 + 0.5
2022-11-23T01:32:32.5328685Z     tmp2 = 0.125 * tmp1
2022-11-23T01:32:32.5328793Z     tmp3 = tmp2 - 0.5
2022-11-23T01:32:32.5328892Z     tmp4 = tl.libdevice.floor(tmp3)
2022-11-23T01:32:32.5329000Z     tmp5 = tmp3 - tmp4
2022-11-23T01:32:32.5329075Z     tmp6 = x1
2022-11-23T01:32:32.5329155Z     tmp7 = tmp6 + 0.5
2022-11-23T01:32:32.5329223Z     tmp8 = 0.5 * tmp7
2022-11-23T01:32:32.5329329Z     tmp9 = tmp8 - 0.5
2022-11-23T01:32:32.5329430Z     tmp10 = tl.libdevice.floor(tmp9)
2022-11-23T01:32:32.5329544Z     tmp11 = tmp9 - tmp10
2022-11-23T01:32:32.5329638Z     tmp12 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5329724Z     tmp13 = tmp4.to(tl.int32)
2022-11-23T01:32:32.5329816Z     tmp14 = tmp12 + -1
2022-11-23T01:32:32.5329886Z     tmp15 = tmp12 + 0
2022-11-23T01:32:32.5329963Z     tmp16 = tmp12 + 1
2022-11-23T01:32:32.5330037Z     tmp17 = tmp12 + 2
2022-11-23T01:32:32.5330129Z     tmp18 = tmp13 + -1
2022-11-23T01:32:32.5330205Z     tmp19 = tmp13 + 0
2022-11-23T01:32:32.5330279Z     tmp20 = tmp13 + 1
2022-11-23T01:32:32.5330347Z     tmp21 = tmp13 + 2
2022-11-23T01:32:32.5330437Z     tmp22 = tl.minimum(63, tmp14)
2022-11-23T01:32:32.5330526Z     tmp23 = tl.maximum(0, tmp22)
2022-11-23T01:32:32.5330615Z     tmp24 = tl.minimum(31, tmp18)
2022-11-23T01:32:32.5330734Z     tmp25 = tl.maximum(0, tmp24)
2022-11-23T01:32:32.5330885Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5330974Z     tmp27 = tl.minimum(31, tmp19)
2022-11-23T01:32:32.5331055Z     tmp28 = tl.maximum(0, tmp27)
2022-11-23T01:32:32.5331224Z     tmp29 = tl.load(in_ptr0 + (tmp28 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5331312Z     tmp30 = tl.minimum(31, tmp20)
2022-11-23T01:32:32.5331400Z     tmp31 = tl.maximum(0, tmp30)
2022-11-23T01:32:32.5331544Z     tmp32 = tl.load(in_ptr0 + (tmp31 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5331630Z     tmp33 = tl.minimum(31, tmp21)
2022-11-23T01:32:32.5331718Z     tmp34 = tl.maximum(0, tmp33)
2022-11-23T01:32:32.5331865Z     tmp35 = tl.load(in_ptr0 + (tmp34 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5331935Z     tmp36 = tmp5 + 1.0
2022-11-23T01:32:32.5332053Z     tmp37 = -0.75 * tmp36
2022-11-23T01:32:32.5332167Z     tmp38 = tmp37 - -3.75
2022-11-23T01:32:32.5332267Z     tmp39 = tmp38 * tmp36
2022-11-23T01:32:32.5332389Z     tmp40 = tmp39 + -6.0
2022-11-23T01:32:32.5332488Z     tmp41 = tmp40 * tmp36
2022-11-23T01:32:32.5332591Z     tmp42 = tmp41 - -3.0
2022-11-23T01:32:32.5332671Z     tmp43 = 1.25 * tmp5
2022-11-23T01:32:32.5332783Z     tmp44 = tmp43 - 2.25
2022-11-23T01:32:32.5332864Z     tmp45 = tmp44 * tmp5
2022-11-23T01:32:32.5332943Z     tmp46 = tmp45 * tmp5
2022-11-23T01:32:32.5333019Z     tmp47 = tmp46 + 1.0
2022-11-23T01:32:32.5333126Z     tmp48 = 1.0 - tmp5
2022-11-23T01:32:32.5333195Z     tmp49 = 1.25 * tmp48
2022-11-23T01:32:32.5333308Z     tmp50 = tmp49 - 2.25
2022-11-23T01:32:32.5333387Z     tmp51 = tmp50 * tmp48
2022-11-23T01:32:32.5333466Z     tmp52 = tmp51 * tmp48
2022-11-23T01:32:32.5333543Z     tmp53 = tmp52 + 1.0
2022-11-23T01:32:32.5333620Z     tmp54 = tmp48 + 1.0
2022-11-23T01:32:32.5333730Z     tmp55 = -0.75 * tmp54
2022-11-23T01:32:32.5333836Z     tmp56 = tmp55 - -3.75
2022-11-23T01:32:32.5333916Z     tmp57 = tmp56 * tmp54
2022-11-23T01:32:32.5334026Z     tmp58 = tmp57 + -6.0
2022-11-23T01:32:32.5334104Z     tmp59 = tmp58 * tmp54
2022-11-23T01:32:32.5334213Z     tmp60 = tmp59 - -3.0
2022-11-23T01:32:32.5334292Z     tmp61 = tmp26 * tmp42
2022-11-23T01:32:32.5334366Z     tmp62 = tmp29 * tmp47
2022-11-23T01:32:32.5334446Z     tmp63 = tmp32 * tmp53
2022-11-23T01:32:32.5334525Z     tmp64 = tmp35 * tmp60
2022-11-23T01:32:32.5334603Z     tmp65 = tmp63 + tmp64
2022-11-23T01:32:32.5334682Z     tmp66 = tmp62 + tmp65
2022-11-23T01:32:32.5334760Z     tmp67 = tmp61 + tmp66
2022-11-23T01:32:32.5334849Z     tmp68 = tl.minimum(63, tmp15)
2022-11-23T01:32:32.5334929Z     tmp69 = tl.maximum(0, tmp68)
2022-11-23T01:32:32.5335073Z     tmp70 = tl.load(in_ptr0 + (tmp25 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5335220Z     tmp71 = tl.load(in_ptr0 + (tmp28 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5335366Z     tmp72 = tl.load(in_ptr0 + (tmp31 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5335508Z     tmp73 = tl.load(in_ptr0 + (tmp34 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5335589Z     tmp74 = tmp70 * tmp42
2022-11-23T01:32:32.5335668Z     tmp75 = tmp71 * tmp47
2022-11-23T01:32:32.5335747Z     tmp76 = tmp72 * tmp53
2022-11-23T01:32:32.5335818Z     tmp77 = tmp73 * tmp60
2022-11-23T01:32:32.5335897Z     tmp78 = tmp76 + tmp77
2022-11-23T01:32:32.5335974Z     tmp79 = tmp75 + tmp78
2022-11-23T01:32:32.5336051Z     tmp80 = tmp74 + tmp79
2022-11-23T01:32:32.5336141Z     tmp81 = tl.minimum(63, tmp16)
2022-11-23T01:32:32.5336229Z     tmp82 = tl.maximum(0, tmp81)
2022-11-23T01:32:32.5336381Z     tmp83 = tl.load(in_ptr0 + (tmp25 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5336521Z     tmp84 = tl.load(in_ptr0 + (tmp28 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5336723Z     tmp85 = tl.load(in_ptr0 + (tmp31 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5336869Z     tmp86 = tl.load(in_ptr0 + (tmp34 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5336972Z     tmp87 = tmp83 * tmp42
2022-11-23T01:32:32.5337051Z     tmp88 = tmp84 * tmp47
2022-11-23T01:32:32.5337131Z     tmp89 = tmp85 * tmp53
2022-11-23T01:32:32.5337210Z     tmp90 = tmp86 * tmp60
2022-11-23T01:32:32.5337281Z     tmp91 = tmp89 + tmp90
2022-11-23T01:32:32.5337358Z     tmp92 = tmp88 + tmp91
2022-11-23T01:32:32.5337434Z     tmp93 = tmp87 + tmp92
2022-11-23T01:32:32.5337523Z     tmp94 = tl.minimum(63, tmp17)
2022-11-23T01:32:32.5337613Z     tmp95 = tl.maximum(0, tmp94)
2022-11-23T01:32:32.5337758Z     tmp96 = tl.load(in_ptr0 + (tmp25 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5337902Z     tmp97 = tl.load(in_ptr0 + (tmp28 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5338046Z     tmp98 = tl.load(in_ptr0 + (tmp31 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5338179Z     tmp99 = tl.load(in_ptr0 + (tmp34 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5338266Z     tmp100 = tmp96 * tmp42
2022-11-23T01:32:32.5338347Z     tmp101 = tmp97 * tmp47
2022-11-23T01:32:32.5338428Z     tmp102 = tmp98 * tmp53
2022-11-23T01:32:32.5338507Z     tmp103 = tmp99 * tmp60
2022-11-23T01:32:32.5338589Z     tmp104 = tmp102 + tmp103
2022-11-23T01:32:32.5338671Z     tmp105 = tmp101 + tmp104
2022-11-23T01:32:32.5338744Z     tmp106 = tmp100 + tmp105
2022-11-23T01:32:32.5339269Z     tmp107 = tmp11 + 1.0
2022-11-23T01:32:32.5339393Z     tmp108 = -0.75 * tmp107
2022-11-23T01:32:32.5339510Z     tmp109 = tmp108 - -3.75
2022-11-23T01:32:32.5339591Z     tmp110 = tmp109 * tmp107
2022-11-23T01:32:32.5339708Z     tmp111 = tmp110 + -6.0
2022-11-23T01:32:32.5339789Z     tmp112 = tmp111 * tmp107
2022-11-23T01:32:32.5339899Z     tmp113 = tmp112 - -3.0
2022-11-23T01:32:32.5339978Z     tmp114 = 1.25 * tmp11
2022-11-23T01:32:32.5340091Z     tmp115 = tmp114 - 2.25
2022-11-23T01:32:32.5340173Z     tmp116 = tmp115 * tmp11
2022-11-23T01:32:32.5340253Z     tmp117 = tmp116 * tmp11
2022-11-23T01:32:32.5340336Z     tmp118 = tmp117 + 1.0
2022-11-23T01:32:32.5340439Z     tmp119 = 1.0 - tmp11
2022-11-23T01:32:32.5340517Z     tmp120 = 1.25 * tmp119
2022-11-23T01:32:32.5340630Z     tmp121 = tmp120 - 2.25
2022-11-23T01:32:32.5340712Z     tmp122 = tmp121 * tmp119
2022-11-23T01:32:32.5340796Z     tmp123 = tmp122 * tmp119
2022-11-23T01:32:32.5340874Z     tmp124 = tmp123 + 1.0
2022-11-23T01:32:32.5340954Z     tmp125 = tmp119 + 1.0
2022-11-23T01:32:32.5341059Z     tmp126 = -0.75 * tmp125
2022-11-23T01:32:32.5341174Z     tmp127 = tmp126 - -3.75
2022-11-23T01:32:32.5341253Z     tmp128 = tmp127 * tmp125
2022-11-23T01:32:32.5341366Z     tmp129 = tmp128 + -6.0
2022-11-23T01:32:32.5341445Z     tmp130 = tmp129 * tmp125
2022-11-23T01:32:32.5341561Z     tmp131 = tmp130 - -3.0
2022-11-23T01:32:32.5341643Z     tmp132 = tmp67 * tmp113
2022-11-23T01:32:32.5341715Z     tmp133 = tmp80 * tmp118
2022-11-23T01:32:32.5341796Z     tmp134 = tmp93 * tmp124
2022-11-23T01:32:32.5341876Z     tmp135 = tmp106 * tmp131
2022-11-23T01:32:32.5341959Z     tmp136 = tmp134 + tmp135
2022-11-23T01:32:32.5342040Z     tmp137 = tmp133 + tmp136
2022-11-23T01:32:32.5342120Z     tmp138 = tmp132 + tmp137
2022-11-23T01:32:32.5342261Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp138, xmask)
2022-11-23T01:32:32.5342338Z ''')
2022-11-23T01:32:32.5342343Z 
2022-11-23T01:32:32.5342348Z 
2022-11-23T01:32:32.5342442Z async_compile.wait(globals())
2022-11-23T01:32:32.5342518Z del async_compile
2022-11-23T01:32:32.5342523Z 
2022-11-23T01:32:32.5342600Z def call(args):
2022-11-23T01:32:32.5342673Z     arg0_1, = args
2022-11-23T01:32:32.5342747Z     args.clear()
2022-11-23T01:32:32.5343066Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5343152Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5343315Z     triton_fused_upsample_bicubic2d0.run(arg0_1, buf0, 196608, grid=grid(196608), stream=stream0)
2022-11-23T01:32:32.5343543Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5343736Z     triton_fused_upsample_bicubic2d_11.run(arg0_1, buf1, 393216, grid=grid(393216), stream=stream0)
2022-11-23T01:32:32.5343809Z     del arg0_1
2022-11-23T01:32:32.5343891Z     return (buf0, buf1, )
2022-11-23T01:32:32.5343896Z 
2022-11-23T01:32:32.5343900Z 
2022-11-23T01:32:32.5343982Z if __name__ == "__main__":
2022-11-23T01:32:32.5344101Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5344225Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5344447Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5344564Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5344928Z [2022-11-23 01:30:46,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lk/clkgbbosgskbfvybjczzv2rpfzwn5dq46fozj3xx3nyade23rm7d.py
2022-11-23T01:32:32.5345192Z [2022-11-23 01:30:46,226] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 798
2022-11-23T01:32:32.5345431Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5345748Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5345969Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5346222Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5346493Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5346815Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5347155Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5347485Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5347862Z [2022-11-23 01:30:46,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074> 
2022-11-23T01:32:32.5347962Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5348083Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:32.5348183Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5348287Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T01:32:32.5348385Z                8 LOAD_CONST               2 (True)
2022-11-23T01:32:32.5348472Z               10 CALL_METHOD              3
2022-11-23T01:32:32.5348480Z 
2022-11-23T01:32:32.5348580Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5348701Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:32.5348798Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5348908Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T01:32:32.5349007Z               20 LOAD_CONST               4 (False)
2022-11-23T01:32:32.5349100Z               22 CALL_METHOD              3
2022-11-23T01:32:32.5349105Z 
2022-11-23T01:32:32.5349193Z 3075          24 BUILD_TUPLE              2
2022-11-23T01:32:32.5349273Z               26 RETURN_VALUE
2022-11-23T01:32:32.5349338Z  
2022-11-23T01:32:32.5349385Z 
2022-11-23T01:32:32.5349709Z [2022-11-23 01:30:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076
2022-11-23T01:32:32.5349931Z [2022-11-23 01:30:46,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5350466Z [2022-11-23 01:30:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5350784Z [2022-11-23 01:30:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:32.5351783Z [2022-11-23 01:30:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:32.5352137Z [2022-11-23 01:30:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5352516Z [2022-11-23 01:30:46,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:32.5352821Z [2022-11-23 01:30:46,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077
2022-11-23T01:32:32.5353067Z [2022-11-23 01:30:46,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5353418Z [2022-11-23 01:30:46,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5353718Z [2022-11-23 01:30:46,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:32.5354054Z [2022-11-23 01:30:46,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:32.5354424Z [2022-11-23 01:30:46,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5354831Z [2022-11-23 01:30:46,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:32.5355139Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075
2022-11-23T01:32:32.5355405Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5355654Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5356033Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074>
2022-11-23T01:32:32.5356284Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5356516Z [2022-11-23 01:30:46,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5356776Z [2022-11-23 01:30:46,469] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5357030Z [2022-11-23 01:30:46,670] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5357224Z [2022-11-23 01:30:46,670] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5357402Z  __compiled_fn_817 <eval_with_key>.5022 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5357498Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5357661Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T01:32:32.5357825Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T01:32:32.5357994Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T01:32:32.5358010Z 
2022-11-23T01:32:32.5358334Z [2022-11-23 01:30:46,670] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5358435Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5358532Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5358628Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5358730Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5358822Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5358919Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5358992Z              12 RETURN_VALUE
2022-11-23T01:32:32.5358997Z 
2022-11-23T01:32:32.5359063Z  
2022-11-23T01:32:32.5359385Z [2022-11-23 01:30:46,671] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5359504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_817)
2022-11-23T01:32:32.5359601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5359701Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5359783Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5359877Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5359981Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5360090Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5360185Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5360269Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5360377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5360474Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5360556Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5360644Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5360725Z              26 RETURN_VALUE
2022-11-23T01:32:32.5360730Z 
2022-11-23T01:32:32.5360797Z  
2022-11-23T01:32:32.5360988Z [2022-11-23 01:30:46,671] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5361064Z  - 
2022-11-23T01:32:32.5361189Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5361260Z             {
2022-11-23T01:32:32.5361400Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5361592Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5361718Z                 'obj_weakref': None
2022-11-23T01:32:32.5361946Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5362017Z             }
2022-11-23T01:32:32.5362087Z             
2022-11-23T01:32:32.5362166Z  - 
2022-11-23T01:32:32.5362294Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5362377Z             {
2022-11-23T01:32:32.5362551Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5362669Z                 'code': None,
2022-11-23T01:32:32.5362887Z                 'obj_weakref': <weakref at 0x7f1f25e732e0; to 'Tensor' at 0x7f1fd80ee980>
2022-11-23T01:32:32.5363138Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5363207Z             }
2022-11-23T01:32:32.5363268Z             
2022-11-23T01:32:32.5363342Z  - 
2022-11-23T01:32:32.5363480Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5363547Z             {
2022-11-23T01:32:32.5363689Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5363901Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5364031Z                 'obj_weakref': None
2022-11-23T01:32:32.5364255Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5364325Z             }
2022-11-23T01:32:32.5364417Z             
2022-11-23T01:32:32.5364494Z  - 
2022-11-23T01:32:32.5364621Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5364690Z             {
2022-11-23T01:32:32.5364829Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5365038Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5365161Z                 'obj_weakref': None
2022-11-23T01:32:32.5365387Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5365456Z             }
2022-11-23T01:32:32.5365524Z             
2022-11-23T01:32:32.5365600Z  - 
2022-11-23T01:32:32.5365739Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5365800Z             {
2022-11-23T01:32:32.5365924Z                 'guard_types': None,
2022-11-23T01:32:32.5366038Z                 'code': None,
2022-11-23T01:32:32.5366161Z                 'obj_weakref': None
2022-11-23T01:32:32.5366293Z                 'guarded_class': None
2022-11-23T01:32:32.5366361Z             }
2022-11-23T01:32:32.5366432Z             
2022-11-23T01:32:32.5366691Z [2022-11-23 01:30:46,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 799
2022-11-23T01:32:32.5366944Z [2022-11-23 01:30:47,001] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.5367195Z [2022-11-23 01:30:47,032] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5367200Z 
2022-11-23T01:32:32.5367205Z 
2022-11-23T01:32:32.5367305Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5367378Z import torch
2022-11-23T01:32:32.5367455Z import random
2022-11-23T01:32:32.5367576Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5367702Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5367707Z 
2022-11-23T01:32:32.5367783Z aten = torch.ops.aten
2022-11-23T01:32:32.5367922Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5368023Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5368028Z 
2022-11-23T01:32:32.5368102Z import triton
2022-11-23T01:32:32.5368194Z import triton.language as tl
2022-11-23T01:32:32.5368322Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5368467Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5368472Z 
2022-11-23T01:32:32.5368477Z 
2022-11-23T01:32:32.5368662Z triton_fused_upsample_bicubic2d0 = async_compile.triton('''
2022-11-23T01:32:32.5368730Z import triton
2022-11-23T01:32:32.5368822Z import triton.language as tl
2022-11-23T01:32:32.5368940Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5369043Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5369179Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5369308Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5369313Z 
2022-11-23T01:32:32.5369697Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5369772Z @triton.jit
2022-11-23T01:32:32.5369901Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5369977Z     xnumel = 196608
2022-11-23T01:32:32.5370075Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5370207Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5370291Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5370368Z     x0 = xindex % 128
2022-11-23T01:32:32.5370486Z     x1 = (xindex // 128) % 128
2022-11-23T01:32:32.5370561Z     x2 = (xindex // 16384)
2022-11-23T01:32:32.5370632Z     x4 = xindex
2022-11-23T01:32:32.5370704Z     tmp0 = x0
2022-11-23T01:32:32.5370793Z     tmp1 = 0.2440944881889764 * tmp0
2022-11-23T01:32:32.5370893Z     tmp2 = tl.libdevice.floor(tmp1)
2022-11-23T01:32:32.5371058Z     tmp3 = tmp1 - tmp2
2022-11-23T01:32:32.5371129Z     tmp4 = x1
2022-11-23T01:32:32.5371206Z     tmp5 = 0.49606299212598426 * tmp4
2022-11-23T01:32:32.5371304Z     tmp6 = tl.libdevice.floor(tmp5)
2022-11-23T01:32:32.5371412Z     tmp7 = tmp5 - tmp6
2022-11-23T01:32:32.5371499Z     tmp8 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5371584Z     tmp9 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5371677Z     tmp10 = tmp8 + -1
2022-11-23T01:32:32.5371746Z     tmp11 = tmp8 + 0
2022-11-23T01:32:32.5371821Z     tmp12 = tmp8 + 1
2022-11-23T01:32:32.5371896Z     tmp13 = tmp8 + 2
2022-11-23T01:32:32.5371989Z     tmp14 = tmp9 + -1
2022-11-23T01:32:32.5372063Z     tmp15 = tmp9 + 0
2022-11-23T01:32:32.5372140Z     tmp16 = tmp9 + 1
2022-11-23T01:32:32.5372213Z     tmp17 = tmp9 + 2
2022-11-23T01:32:32.5372299Z     tmp18 = tl.minimum(63, tmp10)
2022-11-23T01:32:32.5372390Z     tmp19 = tl.maximum(0, tmp18)
2022-11-23T01:32:32.5372479Z     tmp20 = tl.minimum(31, tmp14)
2022-11-23T01:32:32.5372569Z     tmp21 = tl.maximum(0, tmp20)
2022-11-23T01:32:32.5372748Z     tmp22 = tl.load(in_ptr0 + (tmp21 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5372859Z     tmp23 = tl.minimum(31, tmp15)
2022-11-23T01:32:32.5372952Z     tmp24 = tl.maximum(0, tmp23)
2022-11-23T01:32:32.5373135Z     tmp25 = tl.load(in_ptr0 + (tmp24 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5373224Z     tmp26 = tl.minimum(31, tmp16)
2022-11-23T01:32:32.5373312Z     tmp27 = tl.maximum(0, tmp26)
2022-11-23T01:32:32.5373476Z     tmp28 = tl.load(in_ptr0 + (tmp27 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5373568Z     tmp29 = tl.minimum(31, tmp17)
2022-11-23T01:32:32.5373658Z     tmp30 = tl.maximum(0, tmp29)
2022-11-23T01:32:32.5373820Z     tmp31 = tl.load(in_ptr0 + (tmp30 + (32*tmp19) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5373898Z     tmp32 = tmp3 + 1.0
2022-11-23T01:32:32.5374005Z     tmp33 = -0.75 * tmp32
2022-11-23T01:32:32.5374120Z     tmp34 = tmp33 - -3.75
2022-11-23T01:32:32.5374200Z     tmp35 = tmp34 * tmp32
2022-11-23T01:32:32.5374311Z     tmp36 = tmp35 + -6.0
2022-11-23T01:32:32.5374391Z     tmp37 = tmp36 * tmp32
2022-11-23T01:32:32.5374502Z     tmp38 = tmp37 - -3.0
2022-11-23T01:32:32.5374571Z     tmp39 = 1.25 * tmp3
2022-11-23T01:32:32.5374682Z     tmp40 = tmp39 - 2.25
2022-11-23T01:32:32.5374761Z     tmp41 = tmp40 * tmp3
2022-11-23T01:32:32.5374844Z     tmp42 = tmp41 * tmp3
2022-11-23T01:32:32.5374921Z     tmp43 = tmp42 + 1.0
2022-11-23T01:32:32.5375027Z     tmp44 = 1.0 - tmp3
2022-11-23T01:32:32.5375104Z     tmp45 = 1.25 * tmp44
2022-11-23T01:32:32.5375209Z     tmp46 = tmp45 - 2.25
2022-11-23T01:32:32.5375289Z     tmp47 = tmp46 * tmp44
2022-11-23T01:32:32.5375367Z     tmp48 = tmp47 * tmp44
2022-11-23T01:32:32.5375446Z     tmp49 = tmp48 + 1.0
2022-11-23T01:32:32.5375522Z     tmp50 = tmp44 + 1.0
2022-11-23T01:32:32.5375631Z     tmp51 = -0.75 * tmp50
2022-11-23T01:32:32.5375748Z     tmp52 = tmp51 - -3.75
2022-11-23T01:32:32.5375820Z     tmp53 = tmp52 * tmp50
2022-11-23T01:32:32.5375930Z     tmp54 = tmp53 + -6.0
2022-11-23T01:32:32.5376008Z     tmp55 = tmp54 * tmp50
2022-11-23T01:32:32.5376117Z     tmp56 = tmp55 - -3.0
2022-11-23T01:32:32.5376197Z     tmp57 = tmp22 * tmp38
2022-11-23T01:32:32.5376276Z     tmp58 = tmp25 * tmp43
2022-11-23T01:32:32.5376348Z     tmp59 = tmp28 * tmp49
2022-11-23T01:32:32.5376426Z     tmp60 = tmp31 * tmp56
2022-11-23T01:32:32.5376505Z     tmp61 = tmp59 + tmp60
2022-11-23T01:32:32.5376583Z     tmp62 = tmp58 + tmp61
2022-11-23T01:32:32.5376661Z     tmp63 = tmp57 + tmp62
2022-11-23T01:32:32.5376750Z     tmp64 = tl.minimum(63, tmp11)
2022-11-23T01:32:32.5376872Z     tmp65 = tl.maximum(0, tmp64)
2022-11-23T01:32:32.5377030Z     tmp66 = tl.load(in_ptr0 + (tmp21 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5377190Z     tmp67 = tl.load(in_ptr0 + (tmp24 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5377376Z     tmp68 = tl.load(in_ptr0 + (tmp27 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5377532Z     tmp69 = tl.load(in_ptr0 + (tmp30 + (32*tmp65) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5377613Z     tmp70 = tmp66 * tmp38
2022-11-23T01:32:32.5377693Z     tmp71 = tmp67 * tmp43
2022-11-23T01:32:32.5377772Z     tmp72 = tmp68 * tmp49
2022-11-23T01:32:32.5377849Z     tmp73 = tmp69 * tmp56
2022-11-23T01:32:32.5377920Z     tmp74 = tmp72 + tmp73
2022-11-23T01:32:32.5377999Z     tmp75 = tmp71 + tmp74
2022-11-23T01:32:32.5378077Z     tmp76 = tmp70 + tmp75
2022-11-23T01:32:32.5378172Z     tmp77 = tl.minimum(63, tmp12)
2022-11-23T01:32:32.5378262Z     tmp78 = tl.maximum(0, tmp77)
2022-11-23T01:32:32.5378427Z     tmp79 = tl.load(in_ptr0 + (tmp21 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5378593Z     tmp80 = tl.load(in_ptr0 + (tmp24 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5378744Z     tmp81 = tl.load(in_ptr0 + (tmp27 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5379296Z     tmp82 = tl.load(in_ptr0 + (tmp30 + (32*tmp78) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5379379Z     tmp83 = tmp79 * tmp38
2022-11-23T01:32:32.5379459Z     tmp84 = tmp80 * tmp43
2022-11-23T01:32:32.5379538Z     tmp85 = tmp81 * tmp49
2022-11-23T01:32:32.5379616Z     tmp86 = tmp82 * tmp56
2022-11-23T01:32:32.5379695Z     tmp87 = tmp85 + tmp86
2022-11-23T01:32:32.5379776Z     tmp88 = tmp84 + tmp87
2022-11-23T01:32:32.5379848Z     tmp89 = tmp83 + tmp88
2022-11-23T01:32:32.5379938Z     tmp90 = tl.minimum(63, tmp13)
2022-11-23T01:32:32.5380027Z     tmp91 = tl.maximum(0, tmp90)
2022-11-23T01:32:32.5380193Z     tmp92 = tl.load(in_ptr0 + (tmp21 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5380354Z     tmp93 = tl.load(in_ptr0 + (tmp24 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5380512Z     tmp94 = tl.load(in_ptr0 + (tmp27 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5380667Z     tmp95 = tl.load(in_ptr0 + (tmp30 + (32*tmp91) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5380740Z     tmp96 = tmp92 * tmp38
2022-11-23T01:32:32.5380819Z     tmp97 = tmp93 * tmp43
2022-11-23T01:32:32.5380903Z     tmp98 = tmp94 * tmp49
2022-11-23T01:32:32.5380982Z     tmp99 = tmp95 * tmp56
2022-11-23T01:32:32.5381066Z     tmp100 = tmp98 + tmp99
2022-11-23T01:32:32.5381148Z     tmp101 = tmp97 + tmp100
2022-11-23T01:32:32.5381229Z     tmp102 = tmp96 + tmp101
2022-11-23T01:32:32.5381301Z     tmp103 = tmp7 + 1.0
2022-11-23T01:32:32.5381424Z     tmp104 = -0.75 * tmp103
2022-11-23T01:32:32.5381543Z     tmp105 = tmp104 - -3.75
2022-11-23T01:32:32.5381630Z     tmp106 = tmp105 * tmp103
2022-11-23T01:32:32.5381745Z     tmp107 = tmp106 + -6.0
2022-11-23T01:32:32.5381827Z     tmp108 = tmp107 * tmp103
2022-11-23T01:32:32.5381941Z     tmp109 = tmp108 - -3.0
2022-11-23T01:32:32.5382013Z     tmp110 = 1.25 * tmp7
2022-11-23T01:32:32.5382127Z     tmp111 = tmp110 - 2.25
2022-11-23T01:32:32.5382208Z     tmp112 = tmp111 * tmp7
2022-11-23T01:32:32.5382291Z     tmp113 = tmp112 * tmp7
2022-11-23T01:32:32.5382371Z     tmp114 = tmp113 + 1.0
2022-11-23T01:32:32.5382480Z     tmp115 = 1.0 - tmp7
2022-11-23T01:32:32.5382559Z     tmp116 = 1.25 * tmp115
2022-11-23T01:32:32.5382665Z     tmp117 = tmp116 - 2.25
2022-11-23T01:32:32.5382855Z     tmp118 = tmp117 * tmp115
2022-11-23T01:32:32.5382937Z     tmp119 = tmp118 * tmp115
2022-11-23T01:32:32.5383016Z     tmp120 = tmp119 + 1.0
2022-11-23T01:32:32.5383096Z     tmp121 = tmp115 + 1.0
2022-11-23T01:32:32.5383212Z     tmp122 = -0.75 * tmp121
2022-11-23T01:32:32.5383320Z     tmp123 = tmp122 - -3.75
2022-11-23T01:32:32.5383434Z     tmp124 = tmp123 * tmp121
2022-11-23T01:32:32.5383547Z     tmp125 = tmp124 + -6.0
2022-11-23T01:32:32.5383629Z     tmp126 = tmp125 * tmp121
2022-11-23T01:32:32.5383743Z     tmp127 = tmp126 - -3.0
2022-11-23T01:32:32.5383825Z     tmp128 = tmp63 * tmp109
2022-11-23T01:32:32.5383906Z     tmp129 = tmp76 * tmp114
2022-11-23T01:32:32.5383979Z     tmp130 = tmp89 * tmp120
2022-11-23T01:32:32.5384060Z     tmp131 = tmp102 * tmp127
2022-11-23T01:32:32.5384144Z     tmp132 = tmp130 + tmp131
2022-11-23T01:32:32.5384226Z     tmp133 = tmp129 + tmp132
2022-11-23T01:32:32.5384309Z     tmp134 = tmp128 + tmp133
2022-11-23T01:32:32.5384456Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp134, xmask)
2022-11-23T01:32:32.5384542Z ''')
2022-11-23T01:32:32.5384549Z 
2022-11-23T01:32:32.5384554Z 
2022-11-23T01:32:32.5384735Z triton_fused_upsample_bicubic2d_11 = async_compile.triton('''
2022-11-23T01:32:32.5384810Z import triton
2022-11-23T01:32:32.5384903Z import triton.language as tl
2022-11-23T01:32:32.5385023Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5385130Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5385265Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5385395Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5385400Z 
2022-11-23T01:32:32.5385777Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5385844Z @triton.jit
2022-11-23T01:32:32.5385979Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5386057Z     xnumel = 393216
2022-11-23T01:32:32.5386157Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5386289Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5386373Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5386453Z     x0 = xindex % 256
2022-11-23T01:32:32.5386529Z     x1 = (xindex // 256) % 128
2022-11-23T01:32:32.5386609Z     x2 = (xindex // 32768)
2022-11-23T01:32:32.5386680Z     x4 = xindex
2022-11-23T01:32:32.5386751Z     tmp0 = x0
2022-11-23T01:32:32.5386830Z     tmp1 = tmp0 + 0.5
2022-11-23T01:32:32.5386906Z     tmp2 = 0.125 * tmp1
2022-11-23T01:32:32.5387014Z     tmp3 = tmp2 - 0.5
2022-11-23T01:32:32.5387107Z     tmp4 = tl.libdevice.floor(tmp3)
2022-11-23T01:32:32.5387216Z     tmp5 = tmp3 - tmp4
2022-11-23T01:32:32.5387289Z     tmp6 = x1
2022-11-23T01:32:32.5387367Z     tmp7 = tmp6 + 0.5
2022-11-23T01:32:32.5387442Z     tmp8 = 0.5 * tmp7
2022-11-23T01:32:32.5387547Z     tmp9 = tmp8 - 0.5
2022-11-23T01:32:32.5387652Z     tmp10 = tl.libdevice.floor(tmp9)
2022-11-23T01:32:32.5387758Z     tmp11 = tmp9 - tmp10
2022-11-23T01:32:32.5387847Z     tmp12 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5387935Z     tmp13 = tmp4.to(tl.int32)
2022-11-23T01:32:32.5388028Z     tmp14 = tmp12 + -1
2022-11-23T01:32:32.5388105Z     tmp15 = tmp12 + 0
2022-11-23T01:32:32.5388183Z     tmp16 = tmp12 + 1
2022-11-23T01:32:32.5388252Z     tmp17 = tmp12 + 2
2022-11-23T01:32:32.5388347Z     tmp18 = tmp13 + -1
2022-11-23T01:32:32.5388425Z     tmp19 = tmp13 + 0
2022-11-23T01:32:32.5388501Z     tmp20 = tmp13 + 1
2022-11-23T01:32:32.5388576Z     tmp21 = tmp13 + 2
2022-11-23T01:32:32.5388667Z     tmp22 = tl.minimum(63, tmp14)
2022-11-23T01:32:32.5388757Z     tmp23 = tl.maximum(0, tmp22)
2022-11-23T01:32:32.5388839Z     tmp24 = tl.minimum(31, tmp18)
2022-11-23T01:32:32.5388929Z     tmp25 = tl.maximum(0, tmp24)
2022-11-23T01:32:32.5389096Z     tmp26 = tl.load(in_ptr0 + (tmp25 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5389215Z     tmp27 = tl.minimum(31, tmp19)
2022-11-23T01:32:32.5389305Z     tmp28 = tl.maximum(0, tmp27)
2022-11-23T01:32:32.5389468Z     tmp29 = tl.load(in_ptr0 + (tmp28 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5389580Z     tmp30 = tl.minimum(31, tmp20)
2022-11-23T01:32:32.5389661Z     tmp31 = tl.maximum(0, tmp30)
2022-11-23T01:32:32.5389824Z     tmp32 = tl.load(in_ptr0 + (tmp31 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5389914Z     tmp33 = tl.minimum(31, tmp21)
2022-11-23T01:32:32.5390003Z     tmp34 = tl.maximum(0, tmp33)
2022-11-23T01:32:32.5390163Z     tmp35 = tl.load(in_ptr0 + (tmp34 + (32*tmp23) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5390241Z     tmp36 = tmp5 + 1.0
2022-11-23T01:32:32.5390508Z     tmp37 = -0.75 * tmp36
2022-11-23T01:32:32.5390645Z     tmp38 = tmp37 - -3.75
2022-11-23T01:32:32.5390731Z     tmp39 = tmp38 * tmp36
2022-11-23T01:32:32.5390864Z     tmp40 = tmp39 + -6.0
2022-11-23T01:32:32.5390960Z     tmp41 = tmp40 * tmp36
2022-11-23T01:32:32.5391430Z     tmp42 = tmp41 - -3.0
2022-11-23T01:32:32.5391521Z     tmp43 = 1.25 * tmp5
2022-11-23T01:32:32.5391632Z     tmp44 = tmp43 - 2.25
2022-11-23T01:32:32.5391708Z     tmp45 = tmp44 * tmp5
2022-11-23T01:32:32.5391787Z     tmp46 = tmp45 * tmp5
2022-11-23T01:32:32.5391865Z     tmp47 = tmp46 + 1.0
2022-11-23T01:32:32.5391972Z     tmp48 = 1.0 - tmp5
2022-11-23T01:32:32.5392048Z     tmp49 = 1.25 * tmp48
2022-11-23T01:32:32.5392159Z     tmp50 = tmp49 - 2.25
2022-11-23T01:32:32.5392239Z     tmp51 = tmp50 * tmp48
2022-11-23T01:32:32.5392311Z     tmp52 = tmp51 * tmp48
2022-11-23T01:32:32.5392390Z     tmp53 = tmp52 + 1.0
2022-11-23T01:32:32.5392467Z     tmp54 = tmp48 + 1.0
2022-11-23T01:32:32.5392577Z     tmp55 = -0.75 * tmp54
2022-11-23T01:32:32.5392693Z     tmp56 = tmp55 - -3.75
2022-11-23T01:32:32.5392787Z     tmp57 = tmp56 * tmp54
2022-11-23T01:32:32.5392908Z     tmp58 = tmp57 + -6.0
2022-11-23T01:32:32.5393002Z     tmp59 = tmp58 * tmp54
2022-11-23T01:32:32.5393117Z     tmp60 = tmp59 - -3.0
2022-11-23T01:32:32.5393197Z     tmp61 = tmp26 * tmp42
2022-11-23T01:32:32.5393276Z     tmp62 = tmp29 * tmp47
2022-11-23T01:32:32.5393357Z     tmp63 = tmp32 * tmp53
2022-11-23T01:32:32.5393439Z     tmp64 = tmp35 * tmp60
2022-11-23T01:32:32.5393510Z     tmp65 = tmp63 + tmp64
2022-11-23T01:32:32.5393590Z     tmp66 = tmp62 + tmp65
2022-11-23T01:32:32.5393670Z     tmp67 = tmp61 + tmp66
2022-11-23T01:32:32.5393761Z     tmp68 = tl.minimum(63, tmp15)
2022-11-23T01:32:32.5393850Z     tmp69 = tl.maximum(0, tmp68)
2022-11-23T01:32:32.5394012Z     tmp70 = tl.load(in_ptr0 + (tmp25 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5394169Z     tmp71 = tl.load(in_ptr0 + (tmp28 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5394329Z     tmp72 = tl.load(in_ptr0 + (tmp31 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5394477Z     tmp73 = tl.load(in_ptr0 + (tmp34 + (32*tmp69) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5394558Z     tmp74 = tmp70 * tmp42
2022-11-23T01:32:32.5394638Z     tmp75 = tmp71 * tmp47
2022-11-23T01:32:32.5394721Z     tmp76 = tmp72 * tmp53
2022-11-23T01:32:32.5394802Z     tmp77 = tmp73 * tmp60
2022-11-23T01:32:32.5394882Z     tmp78 = tmp76 + tmp77
2022-11-23T01:32:32.5394960Z     tmp79 = tmp75 + tmp78
2022-11-23T01:32:32.5395031Z     tmp80 = tmp74 + tmp79
2022-11-23T01:32:32.5395120Z     tmp81 = tl.minimum(63, tmp16)
2022-11-23T01:32:32.5395210Z     tmp82 = tl.maximum(0, tmp81)
2022-11-23T01:32:32.5395376Z     tmp83 = tl.load(in_ptr0 + (tmp25 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5395536Z     tmp84 = tl.load(in_ptr0 + (tmp28 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5395733Z     tmp85 = tl.load(in_ptr0 + (tmp31 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5395890Z     tmp86 = tl.load(in_ptr0 + (tmp34 + (32*tmp82) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5395970Z     tmp87 = tmp83 * tmp42
2022-11-23T01:32:32.5396065Z     tmp88 = tmp84 * tmp47
2022-11-23T01:32:32.5396145Z     tmp89 = tmp85 * tmp53
2022-11-23T01:32:32.5396224Z     tmp90 = tmp86 * tmp60
2022-11-23T01:32:32.5396302Z     tmp91 = tmp89 + tmp90
2022-11-23T01:32:32.5396382Z     tmp92 = tmp88 + tmp91
2022-11-23T01:32:32.5396460Z     tmp93 = tmp87 + tmp92
2022-11-23T01:32:32.5396550Z     tmp94 = tl.minimum(63, tmp17)
2022-11-23T01:32:32.5396632Z     tmp95 = tl.maximum(0, tmp94)
2022-11-23T01:32:32.5396793Z     tmp96 = tl.load(in_ptr0 + (tmp25 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5396953Z     tmp97 = tl.load(in_ptr0 + (tmp28 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5397110Z     tmp98 = tl.load(in_ptr0 + (tmp31 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5397269Z     tmp99 = tl.load(in_ptr0 + (tmp34 + (32*tmp95) + (2048*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5397355Z     tmp100 = tmp96 * tmp42
2022-11-23T01:32:32.5397438Z     tmp101 = tmp97 * tmp47
2022-11-23T01:32:32.5397518Z     tmp102 = tmp98 * tmp53
2022-11-23T01:32:32.5397591Z     tmp103 = tmp99 * tmp60
2022-11-23T01:32:32.5397675Z     tmp104 = tmp102 + tmp103
2022-11-23T01:32:32.5397757Z     tmp105 = tmp101 + tmp104
2022-11-23T01:32:32.5397838Z     tmp106 = tmp100 + tmp105
2022-11-23T01:32:32.5397917Z     tmp107 = tmp11 + 1.0
2022-11-23T01:32:32.5398035Z     tmp108 = -0.75 * tmp107
2022-11-23T01:32:32.5398143Z     tmp109 = tmp108 - -3.75
2022-11-23T01:32:32.5398225Z     tmp110 = tmp109 * tmp107
2022-11-23T01:32:32.5398339Z     tmp111 = tmp110 + -6.0
2022-11-23T01:32:32.5398424Z     tmp112 = tmp111 * tmp107
2022-11-23T01:32:32.5398537Z     tmp113 = tmp112 - -3.0
2022-11-23T01:32:32.5398615Z     tmp114 = 1.25 * tmp11
2022-11-23T01:32:32.5398728Z     tmp115 = tmp114 - 2.25
2022-11-23T01:32:32.5398803Z     tmp116 = tmp115 * tmp11
2022-11-23T01:32:32.5398883Z     tmp117 = tmp116 * tmp11
2022-11-23T01:32:32.5398965Z     tmp118 = tmp117 + 1.0
2022-11-23T01:32:32.5399076Z     tmp119 = 1.0 - tmp11
2022-11-23T01:32:32.5399153Z     tmp120 = 1.25 * tmp119
2022-11-23T01:32:32.5399265Z     tmp121 = tmp120 - 2.25
2022-11-23T01:32:32.5399346Z     tmp122 = tmp121 * tmp119
2022-11-23T01:32:32.5399420Z     tmp123 = tmp122 * tmp119
2022-11-23T01:32:32.5399498Z     tmp124 = tmp123 + 1.0
2022-11-23T01:32:32.5399575Z     tmp125 = tmp119 + 1.0
2022-11-23T01:32:32.5399687Z     tmp126 = -0.75 * tmp125
2022-11-23T01:32:32.5399802Z     tmp127 = tmp126 - -3.75
2022-11-23T01:32:32.5399882Z     tmp128 = tmp127 * tmp125
2022-11-23T01:32:32.5399989Z     tmp129 = tmp128 + -6.0
2022-11-23T01:32:32.5400076Z     tmp130 = tmp129 * tmp125
2022-11-23T01:32:32.5400188Z     tmp131 = tmp130 - -3.0
2022-11-23T01:32:32.5400271Z     tmp132 = tmp67 * tmp113
2022-11-23T01:32:32.5400351Z     tmp133 = tmp80 * tmp118
2022-11-23T01:32:32.5400431Z     tmp134 = tmp93 * tmp124
2022-11-23T01:32:32.5400516Z     tmp135 = tmp106 * tmp131
2022-11-23T01:32:32.5400592Z     tmp136 = tmp134 + tmp135
2022-11-23T01:32:32.5400672Z     tmp137 = tmp133 + tmp136
2022-11-23T01:32:32.5400753Z     tmp138 = tmp132 + tmp137
2022-11-23T01:32:32.5400895Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp138, xmask)
2022-11-23T01:32:32.5400980Z ''')
2022-11-23T01:32:32.5400989Z 
2022-11-23T01:32:32.5400993Z 
2022-11-23T01:32:32.5401086Z async_compile.wait(globals())
2022-11-23T01:32:32.5401163Z del async_compile
2022-11-23T01:32:32.5401168Z 
2022-11-23T01:32:32.5401244Z def call(args):
2022-11-23T01:32:32.5401310Z     arg0_1, = args
2022-11-23T01:32:32.5401386Z     args.clear()
2022-11-23T01:32:32.5401650Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5401743Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5401906Z     triton_fused_upsample_bicubic2d0.run(arg0_1, buf0, 196608, grid=grid(196608), stream=stream0)
2022-11-23T01:32:32.5402138Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5402331Z     triton_fused_upsample_bicubic2d_11.run(arg0_1, buf1, 393216, grid=grid(393216), stream=stream0)
2022-11-23T01:32:32.5402397Z     del arg0_1
2022-11-23T01:32:32.5402478Z     return (buf0, buf1, )
2022-11-23T01:32:32.5402484Z 
2022-11-23T01:32:32.5402488Z 
2022-11-23T01:32:32.5402568Z if __name__ == "__main__":
2022-11-23T01:32:32.5402697Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5402847Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5403095Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5403215Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5403576Z [2022-11-23 01:30:47,455] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4r/c4r4cqmjcs7xftc5lgetpokrbazj35d6gcqg65rj3wl4ufiftwjq.py
2022-11-23T01:32:32.5403843Z [2022-11-23 01:30:47,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 799
2022-11-23T01:32:32.5403851Z 
2022-11-23T01:32:32.5403916Z ok (2.494s)
2022-11-23T01:32:32.5404249Z   test_upsample_bilinear2d_a_cuda (__main__.CudaTests) ... [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5404570Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5404791Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5405047Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5405326Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5405644Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5405989Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5406309Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5406679Z [2022-11-23 01:30:47,460] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007> 
2022-11-23T01:32:32.5406778Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5406899Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5406997Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5407095Z                6 LOAD_CONST               1 (45)
2022-11-23T01:32:32.5407193Z                8 LOAD_CONST               1 (45)
2022-11-23T01:32:32.5407288Z               10 BUILD_LIST               2
2022-11-23T01:32:32.5407387Z               12 LOAD_CONST               2 (False)
2022-11-23T01:32:32.5407478Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5407574Z               16 CALL_METHOD              4
2022-11-23T01:32:32.5407579Z 
2022-11-23T01:32:32.5407677Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5407796Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5407891Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5408023Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5408118Z               26 LOAD_CONST               3 (True)
2022-11-23T01:32:32.5408215Z               28 LOAD_CONST               4 (2.0)
2022-11-23T01:32:32.5408304Z               30 LOAD_CONST               4 (2.0)
2022-11-23T01:32:32.5408420Z               32 BUILD_LIST               2
2022-11-23T01:32:32.5408513Z               34 CALL_METHOD              4
2022-11-23T01:32:32.5408518Z 
2022-11-23T01:32:32.5408611Z 3008          36 BUILD_TUPLE              2
2022-11-23T01:32:32.5408693Z               38 RETURN_VALUE
2022-11-23T01:32:32.5408758Z  
2022-11-23T01:32:32.5408763Z 
2022-11-23T01:32:32.5409078Z [2022-11-23 01:30:47,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009
2022-11-23T01:32:32.5409299Z [2022-11-23 01:30:47,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5409622Z [2022-11-23 01:30:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5409901Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5410206Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5410545Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5410915Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5411248Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5411612Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.5412024Z [2022-11-23 01:30:47,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5412339Z [2022-11-23 01:30:47,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010
2022-11-23T01:32:32.5412588Z [2022-11-23 01:30:47,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5412993Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5413309Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5413638Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5414024Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5414433Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:32.5414927Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:32.5415415Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5415877Z [2022-11-23 01:30:47,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:32.5416188Z [2022-11-23 01:30:47,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008
2022-11-23T01:32:32.5416460Z [2022-11-23 01:30:47,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5416711Z [2022-11-23 01:30:47,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5417082Z [2022-11-23 01:30:47,512] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007>
2022-11-23T01:32:32.5417338Z [2022-11-23 01:30:47,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5417577Z [2022-11-23 01:30:47,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5417834Z [2022-11-23 01:30:47,513] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5418083Z [2022-11-23 01:30:47,546] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5418279Z [2022-11-23 01:30:47,546] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5418424Z  __compiled_fn_818 <eval_with_key>.5028 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5418522Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5418692Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T01:32:32.5419298Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:32.5419456Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T01:32:32.5419461Z 
2022-11-23T01:32:32.5419790Z [2022-11-23 01:30:47,546] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5419892Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5419982Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5420080Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5420180Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5420278Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5420377Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5420457Z              12 RETURN_VALUE
2022-11-23T01:32:32.5420463Z 
2022-11-23T01:32:32.5420528Z  
2022-11-23T01:32:32.5420840Z [2022-11-23 01:30:47,546] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5420961Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_818)
2022-11-23T01:32:32.5421056Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5421152Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5421235Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5421327Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5421438Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5421546Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5421718Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5421803Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5421914Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5422009Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5422090Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5422211Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5422293Z              26 RETURN_VALUE
2022-11-23T01:32:32.5422298Z 
2022-11-23T01:32:32.5422357Z  
2022-11-23T01:32:32.5422547Z [2022-11-23 01:30:47,547] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5422623Z  - 
2022-11-23T01:32:32.5422747Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5422817Z             {
2022-11-23T01:32:32.5422962Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5423151Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5423268Z                 'obj_weakref': None
2022-11-23T01:32:32.5423497Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5423566Z             }
2022-11-23T01:32:32.5423634Z             
2022-11-23T01:32:32.5423711Z  - 
2022-11-23T01:32:32.5423841Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5423912Z             {
2022-11-23T01:32:32.5424052Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5424165Z                 'code': None,
2022-11-23T01:32:32.5424378Z                 'obj_weakref': <weakref at 0x7f1f25f082c0; to 'Tensor' at 0x7f1fe819fec0>
2022-11-23T01:32:32.5424630Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5424699Z             }
2022-11-23T01:32:32.5424766Z             
2022-11-23T01:32:32.5424840Z  - 
2022-11-23T01:32:32.5424969Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5425038Z             {
2022-11-23T01:32:32.5425179Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5425356Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5425481Z                 'obj_weakref': None
2022-11-23T01:32:32.5425712Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5425784Z             }
2022-11-23T01:32:32.5425846Z             
2022-11-23T01:32:32.5425922Z  - 
2022-11-23T01:32:32.5426049Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5426121Z             {
2022-11-23T01:32:32.5426260Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5426476Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5426598Z                 'obj_weakref': None
2022-11-23T01:32:32.5426812Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5426879Z             }
2022-11-23T01:32:32.5426950Z             
2022-11-23T01:32:32.5427028Z  - 
2022-11-23T01:32:32.5427165Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5427235Z             {
2022-11-23T01:32:32.5427359Z                 'guard_types': None,
2022-11-23T01:32:32.5427462Z                 'code': None,
2022-11-23T01:32:32.5427585Z                 'obj_weakref': None
2022-11-23T01:32:32.5427709Z                 'guarded_class': None
2022-11-23T01:32:32.5427777Z             }
2022-11-23T01:32:32.5427844Z             
2022-11-23T01:32:32.5428103Z [2022-11-23 01:30:47,582] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 800
2022-11-23T01:32:32.5428386Z [2022-11-23 01:30:47,601] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5428654Z [2022-11-23 01:30:47,616] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5429060Z [2022-11-23 01:30:47,619] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4d/c4d6wysxsz4xzw6bb23xbise4ke52rgpjqcdcrm7vhhf2wxyuagu.py
2022-11-23T01:32:32.5429330Z [2022-11-23 01:30:47,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 800
2022-11-23T01:32:32.5429569Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5429904Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5430124Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5430499Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5430815Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5431593Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5431944Z [2022-11-23 01:30:47,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5432264Z [2022-11-23 01:30:47,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5432663Z [2022-11-23 01:30:47,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007> 
2022-11-23T01:32:32.5432777Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5432918Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5433018Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5433119Z                6 LOAD_CONST               1 (45)
2022-11-23T01:32:32.5433217Z                8 LOAD_CONST               1 (45)
2022-11-23T01:32:32.5433311Z               10 BUILD_LIST               2
2022-11-23T01:32:32.5433404Z               12 LOAD_CONST               2 (False)
2022-11-23T01:32:32.5433505Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5433601Z               16 CALL_METHOD              4
2022-11-23T01:32:32.5433607Z 
2022-11-23T01:32:32.5433705Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5433826Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5433924Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5434022Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5434116Z               26 LOAD_CONST               3 (True)
2022-11-23T01:32:32.5434206Z               28 LOAD_CONST               4 (2.0)
2022-11-23T01:32:32.5434303Z               30 LOAD_CONST               4 (2.0)
2022-11-23T01:32:32.5434401Z               32 BUILD_LIST               2
2022-11-23T01:32:32.5434495Z               34 CALL_METHOD              4
2022-11-23T01:32:32.5434500Z 
2022-11-23T01:32:32.5434593Z 3008          36 BUILD_TUPLE              2
2022-11-23T01:32:32.5434674Z               38 RETURN_VALUE
2022-11-23T01:32:32.5434744Z  
2022-11-23T01:32:32.5434749Z 
2022-11-23T01:32:32.5435070Z [2022-11-23 01:30:47,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009
2022-11-23T01:32:32.5435287Z [2022-11-23 01:30:47,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5435621Z [2022-11-23 01:30:47,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5435901Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5436261Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5436602Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5437004Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5437334Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5437700Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:32.5438111Z [2022-11-23 01:30:47,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5438426Z [2022-11-23 01:30:47,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010
2022-11-23T01:32:32.5438677Z [2022-11-23 01:30:47,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5439020Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5439320Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5439654Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5440026Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5440442Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:32.5440888Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:32.5441377Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5441811Z [2022-11-23 01:30:47,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:32.5442124Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008
2022-11-23T01:32:32.5442396Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5442647Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5443098Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e983a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007>
2022-11-23T01:32:32.5443346Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5443574Z [2022-11-23 01:30:47,674] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5443854Z [2022-11-23 01:30:47,675] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5444108Z [2022-11-23 01:30:47,711] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5444298Z [2022-11-23 01:30:47,711] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5444441Z  __compiled_fn_819 <eval_with_key>.5034 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5444537Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5444710Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T01:32:32.5444884Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:32.5445036Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T01:32:32.5445042Z 
2022-11-23T01:32:32.5445358Z [2022-11-23 01:30:47,711] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5445464Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5445561Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5445654Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5445753Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5445846Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5445941Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5446022Z              12 RETURN_VALUE
2022-11-23T01:32:32.5446027Z 
2022-11-23T01:32:32.5446086Z  
2022-11-23T01:32:32.5446406Z [2022-11-23 01:30:47,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5446525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_819)
2022-11-23T01:32:32.5446622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5446722Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5446805Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5446897Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5447002Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5447111Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5447207Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5447289Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5447400Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5447497Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5447578Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5447674Z              24 BUILD_TUPLE              2
2022-11-23T01:32:32.5447749Z              26 RETURN_VALUE
2022-11-23T01:32:32.5447754Z 
2022-11-23T01:32:32.5447820Z  
2022-11-23T01:32:32.5448011Z [2022-11-23 01:30:47,712] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5448091Z  - 
2022-11-23T01:32:32.5448215Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5448288Z             {
2022-11-23T01:32:32.5448436Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5448618Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5448742Z                 'obj_weakref': None
2022-11-23T01:32:32.5448967Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5449036Z             }
2022-11-23T01:32:32.5449103Z             
2022-11-23T01:32:32.5449179Z  - 
2022-11-23T01:32:32.5449309Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5449403Z             {
2022-11-23T01:32:32.5449552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5449664Z                 'code': None,
2022-11-23T01:32:32.5449878Z                 'obj_weakref': <weakref at 0x7f1f25f09ad0; to 'Tensor' at 0x7f1fd80ee980>
2022-11-23T01:32:32.5450154Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5450223Z             }
2022-11-23T01:32:32.5450291Z             
2022-11-23T01:32:32.5450359Z  - 
2022-11-23T01:32:32.5450495Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5450564Z             {
2022-11-23T01:32:32.5450703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5450876Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5450997Z                 'obj_weakref': None
2022-11-23T01:32:32.5451224Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5451288Z             }
2022-11-23T01:32:32.5451356Z             
2022-11-23T01:32:32.5451433Z  - 
2022-11-23T01:32:32.5451559Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5451627Z             {
2022-11-23T01:32:32.5451768Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5451986Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5452100Z                 'obj_weakref': None
2022-11-23T01:32:32.5452320Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5452388Z             }
2022-11-23T01:32:32.5452455Z             
2022-11-23T01:32:32.5452530Z  - 
2022-11-23T01:32:32.5452664Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5452733Z             {
2022-11-23T01:32:32.5452871Z                 'guard_types': None,
2022-11-23T01:32:32.5452996Z                 'code': None,
2022-11-23T01:32:32.5453135Z                 'obj_weakref': None
2022-11-23T01:32:32.5453263Z                 'guarded_class': None
2022-11-23T01:32:32.5453332Z             }
2022-11-23T01:32:32.5453399Z             
2022-11-23T01:32:32.5453652Z [2022-11-23 01:30:47,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 801
2022-11-23T01:32:32.5453937Z [2022-11-23 01:30:47,768] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5454213Z [2022-11-23 01:30:47,785] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5454577Z [2022-11-23 01:30:47,788] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yzuucipsxmjzdfiazofrvvdx2csuhjfkn3vklhnk5dxcfcp57u.py
2022-11-23T01:32:32.5454840Z [2022-11-23 01:30:47,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 801
2022-11-23T01:32:32.5454846Z 
2022-11-23T01:32:32.5454947Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5455021Z import torch
2022-11-23T01:32:32.5455095Z import random
2022-11-23T01:32:32.5455217Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5455337Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5455342Z 
2022-11-23T01:32:32.5455427Z aten = torch.ops.aten
2022-11-23T01:32:32.5455569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5455667Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5455672Z 
2022-11-23T01:32:32.5455748Z import triton
2022-11-23T01:32:32.5455842Z import triton.language as tl
2022-11-23T01:32:32.5455970Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5456106Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5456119Z 
2022-11-23T01:32:32.5456123Z 
2022-11-23T01:32:32.5456209Z async_compile.wait(globals())
2022-11-23T01:32:32.5456286Z del async_compile
2022-11-23T01:32:32.5456291Z 
2022-11-23T01:32:32.5456401Z def call(args):
2022-11-23T01:32:32.5456477Z     arg0_1, = args
2022-11-23T01:32:32.5456553Z     args.clear()
2022-11-23T01:32:32.5456711Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T01:32:32.5456784Z     buf1 = buf0
2022-11-23T01:32:32.5456915Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T01:32:32.5456989Z     del buf0
2022-11-23T01:32:32.5457154Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T01:32:32.5457227Z     del arg0_1
2022-11-23T01:32:32.5457301Z     buf3 = buf2
2022-11-23T01:32:32.5457418Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T01:32:32.5457490Z     del buf2
2022-11-23T01:32:32.5457565Z     return (buf1, buf3, )
2022-11-23T01:32:32.5457572Z 
2022-11-23T01:32:32.5457583Z 
2022-11-23T01:32:32.5457658Z if __name__ == "__main__":
2022-11-23T01:32:32.5457778Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5457911Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5458141Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5458254Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5458263Z 
2022-11-23T01:32:32.5458268Z 
2022-11-23T01:32:32.5458368Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5458443Z import torch
2022-11-23T01:32:32.5458511Z import random
2022-11-23T01:32:32.5458633Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5458760Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5458766Z 
2022-11-23T01:32:32.5459145Z aten = torch.ops.aten
2022-11-23T01:32:32.5459287Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5459384Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5459389Z 
2022-11-23T01:32:32.5459464Z import triton
2022-11-23T01:32:32.5459558Z import triton.language as tl
2022-11-23T01:32:32.5459682Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5459826Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5459831Z 
2022-11-23T01:32:32.5459835Z 
2022-11-23T01:32:32.5459928Z async_compile.wait(globals())
2022-11-23T01:32:32.5460014Z del async_compile
2022-11-23T01:32:32.5460019Z 
2022-11-23T01:32:32.5460094Z def call(args):
2022-11-23T01:32:32.5460169Z     arg0_1, = args
2022-11-23T01:32:32.5460245Z     args.clear()
2022-11-23T01:32:32.5460401Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T01:32:32.5460468Z     buf1 = buf0
2022-11-23T01:32:32.5460586Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T01:32:32.5460656Z     del buf0
2022-11-23T01:32:32.5460816Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T01:32:32.5460891Z     del arg0_1
2022-11-23T01:32:32.5460965Z     buf3 = buf2
2022-11-23T01:32:32.5461083Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T01:32:32.5461147Z     del buf2
2022-11-23T01:32:32.5461230Z     return (buf1, buf3, )
2022-11-23T01:32:32.5461235Z 
2022-11-23T01:32:32.5461239Z 
2022-11-23T01:32:32.5461321Z if __name__ == "__main__":
2022-11-23T01:32:32.5461442Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5461573Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5461803Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5461916Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5461921Z 
2022-11-23T01:32:32.5461993Z ok (0.333s)
2022-11-23T01:32:32.5462338Z   test_upsample_bilinear2d_b_cuda (__main__.CudaTests) ... [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5462762Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5462986Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5463242Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5463549Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5463869Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5464208Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5464528Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5464909Z [2022-11-23 01:30:47,792] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016> 
2022-11-23T01:32:32.5465012Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5465130Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5465229Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5465329Z                6 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5465425Z                8 LOAD_CONST               1 (True)
2022-11-23T01:32:32.5465524Z               10 LOAD_CONST               2 (2.0)
2022-11-23T01:32:32.5465623Z               12 LOAD_CONST               2 (2.0)
2022-11-23T01:32:32.5465719Z               14 BUILD_LIST               2
2022-11-23T01:32:32.5465807Z               16 CALL_METHOD              4
2022-11-23T01:32:32.5465894Z               18 RETURN_VALUE
2022-11-23T01:32:32.5465961Z  
2022-11-23T01:32:32.5465968Z 
2022-11-23T01:32:32.5466280Z [2022-11-23 01:30:47,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017
2022-11-23T01:32:32.5466507Z [2022-11-23 01:30:47,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5466844Z [2022-11-23 01:30:47,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5467121Z [2022-11-23 01:30:47,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5467427Z [2022-11-23 01:30:47,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5467777Z [2022-11-23 01:30:47,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5468164Z [2022-11-23 01:30:47,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:32.5468580Z [2022-11-23 01:30:47,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:32.5469039Z [2022-11-23 01:30:47,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5469470Z [2022-11-23 01:30:47,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:32.5469724Z [2022-11-23 01:30:47,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.5470097Z [2022-11-23 01:30:47,816] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016>
2022-11-23T01:32:32.5470470Z [2022-11-23 01:30:47,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.5470721Z [2022-11-23 01:30:47,816] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5470979Z [2022-11-23 01:30:47,817] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5471230Z [2022-11-23 01:30:47,833] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5471426Z [2022-11-23 01:30:47,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5471568Z  __compiled_fn_820 <eval_with_key>.5040 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5471655Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5471828Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:32.5471959Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T01:32:32.5471965Z 
2022-11-23T01:32:32.5472293Z [2022-11-23 01:30:47,834] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5472395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5472492Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5472588Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5472689Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5472774Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5472891Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5472978Z              12 RETURN_VALUE
2022-11-23T01:32:32.5472984Z 
2022-11-23T01:32:32.5473065Z  
2022-11-23T01:32:32.5473391Z [2022-11-23 01:30:47,834] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5473511Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_820)
2022-11-23T01:32:32.5473609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5473707Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5473782Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5473879Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5473978Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.5474059Z              12 RETURN_VALUE
2022-11-23T01:32:32.5474064Z 
2022-11-23T01:32:32.5474129Z  
2022-11-23T01:32:32.5474315Z [2022-11-23 01:30:47,834] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5474396Z  - 
2022-11-23T01:32:32.5474513Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5474586Z             {
2022-11-23T01:32:32.5474731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5474922Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5475047Z                 'obj_weakref': None
2022-11-23T01:32:32.5475270Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5475341Z             }
2022-11-23T01:32:32.5475402Z             
2022-11-23T01:32:32.5475477Z  - 
2022-11-23T01:32:32.5475605Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5475675Z             {
2022-11-23T01:32:32.5475820Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5475931Z                 'code': None,
2022-11-23T01:32:32.5476144Z                 'obj_weakref': <weakref at 0x7f1f25b596c0; to 'Tensor' at 0x7f1f25f20590>
2022-11-23T01:32:32.5476442Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5476513Z             }
2022-11-23T01:32:32.5476586Z             
2022-11-23T01:32:32.5476662Z  - 
2022-11-23T01:32:32.5476795Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5476886Z             {
2022-11-23T01:32:32.5477026Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5477192Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5477316Z                 'obj_weakref': None
2022-11-23T01:32:32.5477545Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5477614Z             }
2022-11-23T01:32:32.5477681Z             
2022-11-23T01:32:32.5477756Z  - 
2022-11-23T01:32:32.5477882Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5477943Z             {
2022-11-23T01:32:32.5478086Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5478307Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5478430Z                 'obj_weakref': None
2022-11-23T01:32:32.5478656Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5478728Z             }
2022-11-23T01:32:32.5478794Z             
2022-11-23T01:32:32.5478863Z  - 
2022-11-23T01:32:32.5478999Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5479068Z             {
2022-11-23T01:32:32.5479192Z                 'guard_types': None,
2022-11-23T01:32:32.5479305Z                 'code': None,
2022-11-23T01:32:32.5479427Z                 'obj_weakref': None
2022-11-23T01:32:32.5479560Z                 'guarded_class': None
2022-11-23T01:32:32.5479621Z             }
2022-11-23T01:32:32.5479688Z             
2022-11-23T01:32:32.5479951Z [2022-11-23 01:30:47,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 802
2022-11-23T01:32:32.5480239Z [2022-11-23 01:30:47,868] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5480602Z [2022-11-23 01:30:47,870] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dh/cdhgla6676ubchhifuk3ai5j4yu6zj2dfjodtyjfrfpljk5ti2ch.py
2022-11-23T01:32:32.5480876Z [2022-11-23 01:30:47,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 802
2022-11-23T01:32:32.5481124Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5481439Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5481654Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5481915Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5482197Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5482519Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5482867Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5483190Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5483563Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016> 
2022-11-23T01:32:32.5483703Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5483827Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:32.5483931Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5484023Z                6 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5484145Z                8 LOAD_CONST               1 (True)
2022-11-23T01:32:32.5484242Z               10 LOAD_CONST               2 (2.0)
2022-11-23T01:32:32.5484339Z               12 LOAD_CONST               2 (2.0)
2022-11-23T01:32:32.5484433Z               14 BUILD_LIST               2
2022-11-23T01:32:32.5484528Z               16 CALL_METHOD              4
2022-11-23T01:32:32.5484611Z               18 RETURN_VALUE
2022-11-23T01:32:32.5484669Z  
2022-11-23T01:32:32.5484675Z 
2022-11-23T01:32:32.5484988Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017
2022-11-23T01:32:32.5485210Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5485535Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5485810Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:32.5486120Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:32.5486468Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5486848Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:32.5487278Z [2022-11-23 01:30:47,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:32.5487743Z [2022-11-23 01:30:47,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5488161Z [2022-11-23 01:30:47,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:32.5488415Z [2022-11-23 01:30:47,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.5488785Z [2022-11-23 01:30:47,898] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016>
2022-11-23T01:32:32.5489035Z [2022-11-23 01:30:47,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.5489273Z [2022-11-23 01:30:47,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5489534Z [2022-11-23 01:30:47,899] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5489789Z [2022-11-23 01:30:47,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5489984Z [2022-11-23 01:30:47,916] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5490128Z  __compiled_fn_821 <eval_with_key>.5046 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5490222Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5490424Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:32.5490544Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T01:32:32.5490549Z 
2022-11-23T01:32:32.5490879Z [2022-11-23 01:30:47,917] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5491006Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5491103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5491199Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5491299Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5491391Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5491488Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5491562Z              12 RETURN_VALUE
2022-11-23T01:32:32.5491567Z 
2022-11-23T01:32:32.5491633Z  
2022-11-23T01:32:32.5491957Z [2022-11-23 01:30:47,917] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5492077Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_821)
2022-11-23T01:32:32.5492174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5492270Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5492355Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5492441Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5492536Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.5492618Z              12 RETURN_VALUE
2022-11-23T01:32:32.5492623Z 
2022-11-23T01:32:32.5492690Z  
2022-11-23T01:32:32.5492880Z [2022-11-23 01:30:47,917] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5492955Z  - 
2022-11-23T01:32:32.5493080Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5493142Z             {
2022-11-23T01:32:32.5493295Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5493492Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5493617Z                 'obj_weakref': None
2022-11-23T01:32:32.5493845Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5493915Z             }
2022-11-23T01:32:32.5493989Z             
2022-11-23T01:32:32.5494065Z  - 
2022-11-23T01:32:32.5494188Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5494256Z             {
2022-11-23T01:32:32.5494405Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5494517Z                 'code': None,
2022-11-23T01:32:32.5494733Z                 'obj_weakref': <weakref at 0x7f1f25b5b920; to 'Tensor' at 0x7f1f25eac270>
2022-11-23T01:32:32.5494985Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5495052Z             }
2022-11-23T01:32:32.5495114Z             
2022-11-23T01:32:32.5495192Z  - 
2022-11-23T01:32:32.5496828Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5496898Z             {
2022-11-23T01:32:32.5497040Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5497216Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5497341Z                 'obj_weakref': None
2022-11-23T01:32:32.5497569Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5497637Z             }
2022-11-23T01:32:32.5497707Z             
2022-11-23T01:32:32.5497784Z  - 
2022-11-23T01:32:32.5497911Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5497978Z             {
2022-11-23T01:32:32.5498111Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5498332Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5498456Z                 'obj_weakref': None
2022-11-23T01:32:32.5498716Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5498972Z             }
2022-11-23T01:32:32.5499043Z             
2022-11-23T01:32:32.5499122Z  - 
2022-11-23T01:32:32.5499252Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5499321Z             {
2022-11-23T01:32:32.5499446Z                 'guard_types': None,
2022-11-23T01:32:32.5499602Z                 'code': None,
2022-11-23T01:32:32.5499725Z                 'obj_weakref': None
2022-11-23T01:32:32.5499852Z                 'guarded_class': None
2022-11-23T01:32:32.5499920Z             }
2022-11-23T01:32:32.5499981Z             
2022-11-23T01:32:32.5500254Z [2022-11-23 01:30:47,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 803
2022-11-23T01:32:32.5500537Z [2022-11-23 01:30:47,953] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:32.5500899Z [2022-11-23 01:30:47,955] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dy/cdy7plmyyk4s7cukjin4mozdxxp6ai2g6o3vinnwmlot2j3j6pra.py
2022-11-23T01:32:32.5501166Z [2022-11-23 01:30:47,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 803
2022-11-23T01:32:32.5501172Z 
2022-11-23T01:32:32.5501271Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5501346Z import torch
2022-11-23T01:32:32.5501422Z import random
2022-11-23T01:32:32.5501536Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5501663Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5501668Z 
2022-11-23T01:32:32.5501750Z aten = torch.ops.aten
2022-11-23T01:32:32.5501888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5501985Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5501990Z 
2022-11-23T01:32:32.5502065Z import triton
2022-11-23T01:32:32.5502158Z import triton.language as tl
2022-11-23T01:32:32.5502287Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5502427Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5502432Z 
2022-11-23T01:32:32.5502446Z 
2022-11-23T01:32:32.5502533Z async_compile.wait(globals())
2022-11-23T01:32:32.5502612Z del async_compile
2022-11-23T01:32:32.5502617Z 
2022-11-23T01:32:32.5502692Z def call(args):
2022-11-23T01:32:32.5502770Z     arg0_1, = args
2022-11-23T01:32:32.5502846Z     args.clear()
2022-11-23T01:32:32.5503010Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T01:32:32.5503083Z     del arg0_1
2022-11-23T01:32:32.5503149Z     buf1 = buf0
2022-11-23T01:32:32.5503268Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T01:32:32.5503338Z     del buf0
2022-11-23T01:32:32.5503413Z     return (buf1, )
2022-11-23T01:32:32.5503419Z 
2022-11-23T01:32:32.5503423Z 
2022-11-23T01:32:32.5503506Z if __name__ == "__main__":
2022-11-23T01:32:32.5503626Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5503759Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5503978Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5504091Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5504096Z 
2022-11-23T01:32:32.5504103Z 
2022-11-23T01:32:32.5504201Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5504276Z import torch
2022-11-23T01:32:32.5504350Z import random
2022-11-23T01:32:32.5504470Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5504599Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5504604Z 
2022-11-23T01:32:32.5504685Z aten = torch.ops.aten
2022-11-23T01:32:32.5504817Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5504914Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5504919Z 
2022-11-23T01:32:32.5504992Z import triton
2022-11-23T01:32:32.5505085Z import triton.language as tl
2022-11-23T01:32:32.5505250Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5505395Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5505400Z 
2022-11-23T01:32:32.5505405Z 
2022-11-23T01:32:32.5505499Z async_compile.wait(globals())
2022-11-23T01:32:32.5505577Z del async_compile
2022-11-23T01:32:32.5505603Z 
2022-11-23T01:32:32.5505671Z def call(args):
2022-11-23T01:32:32.5505745Z     arg0_1, = args
2022-11-23T01:32:32.5505820Z     args.clear()
2022-11-23T01:32:32.5505984Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T01:32:32.5506056Z     del arg0_1
2022-11-23T01:32:32.5506129Z     buf1 = buf0
2022-11-23T01:32:32.5506249Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T01:32:32.5506312Z     del buf0
2022-11-23T01:32:32.5506387Z     return (buf1, )
2022-11-23T01:32:32.5506392Z 
2022-11-23T01:32:32.5506397Z 
2022-11-23T01:32:32.5506478Z if __name__ == "__main__":
2022-11-23T01:32:32.5506600Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5506731Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5506957Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5507072Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5507080Z 
2022-11-23T01:32:32.5507152Z ok (0.167s)
2022-11-23T01:32:32.5507469Z   test_upsample_nearest1d_cuda (__main__.CudaTests) ... [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5507785Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5508007Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5508262Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5508544Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5508861Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5509202Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5509519Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5509888Z [2022-11-23 01:30:47,959] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957> 
2022-11-23T01:32:32.5509990Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5510106Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5510205Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5510418Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5510527Z                8 BUILD_LIST               1
2022-11-23T01:32:32.5510642Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5510746Z               12 CALL_METHOD              3
2022-11-23T01:32:32.5510752Z 
2022-11-23T01:32:32.5510849Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5510967Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5511057Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5511154Z               20 LOAD_CONST               2 (70)
2022-11-23T01:32:32.5511248Z               22 BUILD_LIST               1
2022-11-23T01:32:32.5511345Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5511468Z               26 CALL_METHOD              3
2022-11-23T01:32:32.5511474Z 
2022-11-23T01:32:32.5511573Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5511693Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5511789Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5511910Z               34 LOAD_CONST               3 (45)
2022-11-23T01:32:32.5512004Z               36 BUILD_LIST               1
2022-11-23T01:32:32.5512102Z               38 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5512195Z               40 CALL_METHOD              3
2022-11-23T01:32:32.5512200Z 
2022-11-23T01:32:32.5512298Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5512415Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5512511Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5512600Z               48 LOAD_CONST               4 (36)
2022-11-23T01:32:32.5512696Z               50 BUILD_LIST               1
2022-11-23T01:32:32.5512793Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5512885Z               54 CALL_METHOD              3
2022-11-23T01:32:32.5512890Z 
2022-11-23T01:32:32.5512987Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5513109Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5513205Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5513302Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5513391Z               64 LOAD_CONST               5 (2.0)
2022-11-23T01:32:32.5513484Z               66 BUILD_LIST               1
2022-11-23T01:32:32.5513576Z               68 CALL_METHOD              3
2022-11-23T01:32:32.5513581Z 
2022-11-23T01:32:32.5513674Z 2958          70 BUILD_TUPLE              5
2022-11-23T01:32:32.5513756Z               72 RETURN_VALUE
2022-11-23T01:32:32.5513822Z  
2022-11-23T01:32:32.5513827Z 
2022-11-23T01:32:32.5514151Z [2022-11-23 01:30:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959
2022-11-23T01:32:32.5514374Z [2022-11-23 01:30:47,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5514696Z [2022-11-23 01:30:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5514971Z [2022-11-23 01:30:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5515272Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5515613Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5515941Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5516310Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5516624Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960
2022-11-23T01:32:32.5516874Z [2022-11-23 01:30:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5517229Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5517559Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5517895Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5518254Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5518633Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5519035Z [2022-11-23 01:30:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5519352Z [2022-11-23 01:30:47,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961
2022-11-23T01:32:32.5519628Z [2022-11-23 01:30:47,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5520012Z [2022-11-23 01:30:47,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5520337Z [2022-11-23 01:30:47,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5520695Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5521083Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5521461Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5521887Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5522204Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962
2022-11-23T01:32:32.5522507Z [2022-11-23 01:30:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5522912Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5523269Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5523657Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5524076Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5524481Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5524966Z [2022-11-23 01:30:47,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5525302Z [2022-11-23 01:30:47,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963
2022-11-23T01:32:32.5525626Z [2022-11-23 01:30:47,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5526055Z [2022-11-23 01:30:47,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5526432Z [2022-11-23 01:30:47,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5526841Z [2022-11-23 01:30:47,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5527292Z [2022-11-23 01:30:47,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5527780Z [2022-11-23 01:30:47,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:32.5528258Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5528570Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958
2022-11-23T01:32:32.5528917Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5529166Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5529532Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957>
2022-11-23T01:32:32.5529780Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5530019Z [2022-11-23 01:30:47,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5530277Z [2022-11-23 01:30:47,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5530534Z [2022-11-23 01:30:47,997] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5530727Z [2022-11-23 01:30:47,997] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5530871Z  __compiled_fn_822 <eval_with_key>.5052 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5530968Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5531121Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T01:32:32.5531279Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T01:32:32.5531453Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T01:32:32.5531602Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T01:32:32.5531757Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T01:32:32.5532011Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T01:32:32.5532017Z 
2022-11-23T01:32:32.5532348Z [2022-11-23 01:30:47,998] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5532449Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5532546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5532632Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5532732Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5532825Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5532922Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5533004Z              12 RETURN_VALUE
2022-11-23T01:32:32.5533009Z 
2022-11-23T01:32:32.5533074Z  
2022-11-23T01:32:32.5533392Z [2022-11-23 01:30:47,998] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5533513Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_822)
2022-11-23T01:32:32.5533602Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5533699Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5533781Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5533875Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5533987Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5534098Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5534196Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5534271Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5534380Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5534477Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5534558Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5534668Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5534764Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5534846Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5534947Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5535045Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5535126Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5535232Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5535327Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5535411Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5535508Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5535582Z              44 RETURN_VALUE
2022-11-23T01:32:32.5540085Z 
2022-11-23T01:32:32.5540172Z  
2022-11-23T01:32:32.5540395Z [2022-11-23 01:30:47,998] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5540472Z  - 
2022-11-23T01:32:32.5540605Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5540675Z             {
2022-11-23T01:32:32.5540821Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5541005Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5541129Z                 'obj_weakref': None
2022-11-23T01:32:32.5541356Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5541425Z             }
2022-11-23T01:32:32.5541499Z             
2022-11-23T01:32:32.5541574Z  - 
2022-11-23T01:32:32.5541703Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5541765Z             {
2022-11-23T01:32:32.5541989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5542104Z                 'code': None,
2022-11-23T01:32:32.5542321Z                 'obj_weakref': <weakref at 0x7f1f25ef7b50; to 'Tensor' at 0x7f1fe819fec0>
2022-11-23T01:32:32.5542572Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5542678Z             }
2022-11-23T01:32:32.5542744Z             
2022-11-23T01:32:32.5542813Z  - 
2022-11-23T01:32:32.5542947Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5543015Z             {
2022-11-23T01:32:32.5543155Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5543330Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5543452Z                 'obj_weakref': None
2022-11-23T01:32:32.5543682Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5543750Z             }
2022-11-23T01:32:32.5543814Z             
2022-11-23T01:32:32.5543891Z  - 
2022-11-23T01:32:32.5544017Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5544085Z             {
2022-11-23T01:32:32.5544226Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5544442Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5544559Z                 'obj_weakref': None
2022-11-23T01:32:32.5544781Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5544849Z             }
2022-11-23T01:32:32.5544915Z             
2022-11-23T01:32:32.5544992Z  - 
2022-11-23T01:32:32.5545127Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5545196Z             {
2022-11-23T01:32:32.5545312Z                 'guard_types': None,
2022-11-23T01:32:32.5545423Z                 'code': None,
2022-11-23T01:32:32.5545544Z                 'obj_weakref': None
2022-11-23T01:32:32.5545672Z                 'guarded_class': None
2022-11-23T01:32:32.5545740Z             }
2022-11-23T01:32:32.5545807Z             
2022-11-23T01:32:32.5546069Z [2022-11-23 01:30:48,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 804
2022-11-23T01:32:32.5546357Z [2022-11-23 01:30:48,040] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5546604Z [2022-11-23 01:30:48,045] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5546848Z [2022-11-23 01:30:48,049] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5547092Z [2022-11-23 01:30:48,052] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5547464Z [2022-11-23 01:30:48,149] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nv/cnvhnp3mhb5ccoxlv2sdyu5ymahsndltulwmtwxuj2lpiogq3kxv.py
2022-11-23T01:32:32.5547733Z [2022-11-23 01:30:48,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 804
2022-11-23T01:32:32.5547974Z [2022-11-23 01:30:48,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5548290Z [2022-11-23 01:30:48,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5548511Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5548766Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5549037Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5549400Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5549746Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5550069Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5550571Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957> 
2022-11-23T01:32:32.5550689Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5550826Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5550938Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5551058Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5551147Z                8 BUILD_LIST               1
2022-11-23T01:32:32.5551249Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5551344Z               12 CALL_METHOD              3
2022-11-23T01:32:32.5551349Z 
2022-11-23T01:32:32.5551449Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5551574Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5551674Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5551772Z               20 LOAD_CONST               2 (70)
2022-11-23T01:32:32.5551868Z               22 BUILD_LIST               1
2022-11-23T01:32:32.5551960Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5552054Z               26 CALL_METHOD              3
2022-11-23T01:32:32.5552059Z 
2022-11-23T01:32:32.5552157Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5552276Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5552376Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5552476Z               34 LOAD_CONST               3 (45)
2022-11-23T01:32:32.5552569Z               36 BUILD_LIST               1
2022-11-23T01:32:32.5552659Z               38 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5552753Z               40 CALL_METHOD              3
2022-11-23T01:32:32.5552761Z 
2022-11-23T01:32:32.5552859Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5552978Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5553075Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5553172Z               48 LOAD_CONST               4 (36)
2022-11-23T01:32:32.5553266Z               50 BUILD_LIST               1
2022-11-23T01:32:32.5553364Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5553450Z               54 CALL_METHOD              3
2022-11-23T01:32:32.5553455Z 
2022-11-23T01:32:32.5553551Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5553672Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:32.5553768Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5553864Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5553965Z               64 LOAD_CONST               5 (2.0)
2022-11-23T01:32:32.5554059Z               66 BUILD_LIST               1
2022-11-23T01:32:32.5554145Z               68 CALL_METHOD              3
2022-11-23T01:32:32.5554158Z 
2022-11-23T01:32:32.5554244Z 2958          70 BUILD_TUPLE              5
2022-11-23T01:32:32.5554325Z               72 RETURN_VALUE
2022-11-23T01:32:32.5554391Z  
2022-11-23T01:32:32.5554397Z 
2022-11-23T01:32:32.5554713Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959
2022-11-23T01:32:32.5554933Z [2022-11-23 01:30:48,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5555298Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5555576Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5555902Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5556237Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5556557Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5556930Z [2022-11-23 01:30:48,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5557244Z [2022-11-23 01:30:48,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960
2022-11-23T01:32:32.5557491Z [2022-11-23 01:30:48,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5557846Z [2022-11-23 01:30:48,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5558147Z [2022-11-23 01:30:48,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5558475Z [2022-11-23 01:30:48,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5558843Z [2022-11-23 01:30:48,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5559206Z [2022-11-23 01:30:48,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5559610Z [2022-11-23 01:30:48,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5559924Z [2022-11-23 01:30:48,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961
2022-11-23T01:32:32.5560202Z [2022-11-23 01:30:48,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5560578Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5560910Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5561272Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5561664Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5562048Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5562507Z [2022-11-23 01:30:48,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5562827Z [2022-11-23 01:30:48,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962
2022-11-23T01:32:32.5563154Z [2022-11-23 01:30:48,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5563564Z [2022-11-23 01:30:48,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5563924Z [2022-11-23 01:30:48,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5564304Z [2022-11-23 01:30:48,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5564722Z [2022-11-23 01:30:48,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5565130Z [2022-11-23 01:30:48,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5565581Z [2022-11-23 01:30:48,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5565899Z [2022-11-23 01:30:48,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963
2022-11-23T01:32:32.5566221Z [2022-11-23 01:30:48,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5566655Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5567029Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:32.5567451Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:32.5567907Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5568396Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:32.5568870Z [2022-11-23 01:30:48,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5569210Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958
2022-11-23T01:32:32.5569566Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5569841Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5570223Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957>
2022-11-23T01:32:32.5570470Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5570708Z [2022-11-23 01:30:48,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5570962Z [2022-11-23 01:30:48,189] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5571218Z [2022-11-23 01:30:48,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5571411Z [2022-11-23 01:30:48,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5571557Z  __compiled_fn_823 <eval_with_key>.5058 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5571654Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5571817Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T01:32:32.5571974Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T01:32:32.5572126Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T01:32:32.5572276Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T01:32:32.5572426Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T01:32:32.5572654Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T01:32:32.5572661Z 
2022-11-23T01:32:32.5572987Z [2022-11-23 01:30:48,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5573091Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5573189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5573284Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5573387Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5573479Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5573568Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5573651Z              12 RETURN_VALUE
2022-11-23T01:32:32.5573656Z 
2022-11-23T01:32:32.5573725Z  
2022-11-23T01:32:32.5574046Z [2022-11-23 01:30:48,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5574165Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_823)
2022-11-23T01:32:32.5574262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5574365Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5574447Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5574534Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5574648Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5574759Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5574858Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5574941Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5575049Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5575146Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5575221Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5575371Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5575470Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5575553Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5575662Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5575780Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5575864Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5575965Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5576062Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5576149Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5576248Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5576332Z              44 RETURN_VALUE
2022-11-23T01:32:32.5576337Z 
2022-11-23T01:32:32.5576404Z  
2022-11-23T01:32:32.5576595Z [2022-11-23 01:30:48,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5576664Z  - 
2022-11-23T01:32:32.5576793Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5576864Z             {
2022-11-23T01:32:32.5577013Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5577207Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5577331Z                 'obj_weakref': None
2022-11-23T01:32:32.5577562Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5577624Z             }
2022-11-23T01:32:32.5577696Z             
2022-11-23T01:32:32.5577773Z  - 
2022-11-23T01:32:32.5577903Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5577972Z             {
2022-11-23T01:32:32.5578122Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5578233Z                 'code': None,
2022-11-23T01:32:32.5578440Z                 'obj_weakref': <weakref at 0x7f1f25f102c0; to 'Tensor' at 0x7f1fd81ba610>
2022-11-23T01:32:32.5578696Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5578765Z             }
2022-11-23T01:32:32.5579104Z             
2022-11-23T01:32:32.5579186Z  - 
2022-11-23T01:32:32.5579323Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5579392Z             {
2022-11-23T01:32:32.5579529Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5579703Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5579827Z                 'obj_weakref': None
2022-11-23T01:32:32.5580057Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5580127Z             }
2022-11-23T01:32:32.5580195Z             
2022-11-23T01:32:32.5580270Z  - 
2022-11-23T01:32:32.5580390Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5580460Z             {
2022-11-23T01:32:32.5580603Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5580825Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5580951Z                 'obj_weakref': None
2022-11-23T01:32:32.5581177Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5581246Z             }
2022-11-23T01:32:32.5581311Z             
2022-11-23T01:32:32.5581388Z  - 
2022-11-23T01:32:32.5581527Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5581596Z             {
2022-11-23T01:32:32.5581724Z                 'guard_types': None,
2022-11-23T01:32:32.5581837Z                 'code': None,
2022-11-23T01:32:32.5581961Z                 'obj_weakref': None
2022-11-23T01:32:32.5582082Z                 'guarded_class': None
2022-11-23T01:32:32.5582152Z             }
2022-11-23T01:32:32.5582227Z             
2022-11-23T01:32:32.5582491Z [2022-11-23 01:30:48,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 805
2022-11-23T01:32:32.5582837Z [2022-11-23 01:30:48,220] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5583087Z [2022-11-23 01:30:48,223] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5583334Z [2022-11-23 01:30:48,225] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5583628Z [2022-11-23 01:30:48,227] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5583634Z 
2022-11-23T01:32:32.5583728Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5583805Z import torch
2022-11-23T01:32:32.5583881Z import random
2022-11-23T01:32:32.5584004Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5584132Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5584138Z 
2022-11-23T01:32:32.5584222Z aten = torch.ops.aten
2022-11-23T01:32:32.5584363Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5584457Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5584471Z 
2022-11-23T01:32:32.5584538Z import triton
2022-11-23T01:32:32.5584632Z import triton.language as tl
2022-11-23T01:32:32.5584764Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5584914Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5584920Z 
2022-11-23T01:32:32.5584924Z 
2022-11-23T01:32:32.5585146Z triton_fused_upsample_nearest1d_4_upsample_nearest1d0 = async_compile.triton('''
2022-11-23T01:32:32.5585223Z import triton
2022-11-23T01:32:32.5585318Z import triton.language as tl
2022-11-23T01:32:32.5585428Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5585533Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5585669Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5585800Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5585805Z 
2022-11-23T01:32:32.5586199Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5586275Z @triton.jit
2022-11-23T01:32:32.5586425Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5586505Z     xnumel = 592
2022-11-23T01:32:32.5586597Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5586731Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5586816Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5586893Z     x0 = xindex % 74
2022-11-23T01:32:32.5586974Z     x1 = (xindex // 74)
2022-11-23T01:32:32.5587046Z     x2 = xindex
2022-11-23T01:32:32.5587118Z     tmp0 = x0
2022-11-23T01:32:32.5587185Z     tmp1 = 0.5
2022-11-23T01:32:32.5587264Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5587353Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5587505Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5587644Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5587799Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5587893Z ''')
2022-11-23T01:32:32.5587903Z 
2022-11-23T01:32:32.5587909Z 
2022-11-23T01:32:32.5588119Z triton_fused_upsample_nearest1d_11 = async_compile.triton('''
2022-11-23T01:32:32.5588188Z import triton
2022-11-23T01:32:32.5588283Z import triton.language as tl
2022-11-23T01:32:32.5588400Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5588504Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5588644Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5588772Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5588777Z 
2022-11-23T01:32:32.5589178Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5589256Z @triton.jit
2022-11-23T01:32:32.5589384Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5589459Z     xnumel = 560
2022-11-23T01:32:32.5589585Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5589718Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5589804Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5589881Z     x0 = xindex % 70
2022-11-23T01:32:32.5589962Z     x1 = (xindex // 70)
2022-11-23T01:32:32.5590028Z     x2 = xindex
2022-11-23T01:32:32.5590105Z     tmp0 = x0
2022-11-23T01:32:32.5590187Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5590331Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5590434Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5590595Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5590741Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5590824Z ''')
2022-11-23T01:32:32.5590829Z 
2022-11-23T01:32:32.5590833Z 
2022-11-23T01:32:32.5591020Z triton_fused_upsample_nearest1d_22 = async_compile.triton('''
2022-11-23T01:32:32.5591094Z import triton
2022-11-23T01:32:32.5591191Z import triton.language as tl
2022-11-23T01:32:32.5591308Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5591413Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5591551Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5591674Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5591688Z 
2022-11-23T01:32:32.5592055Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5592129Z @triton.jit
2022-11-23T01:32:32.5592271Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5592351Z     xnumel = 360
2022-11-23T01:32:32.5592452Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5592589Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5592673Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5592745Z     x0 = xindex % 45
2022-11-23T01:32:32.5592827Z     x1 = (xindex // 45)
2022-11-23T01:32:32.5592899Z     x2 = xindex
2022-11-23T01:32:32.5592975Z     tmp0 = x0
2022-11-23T01:32:32.5593056Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5593136Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5593224Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5593365Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5593501Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5593590Z ''')
2022-11-23T01:32:32.5593596Z 
2022-11-23T01:32:32.5593600Z 
2022-11-23T01:32:32.5593788Z triton_fused_upsample_nearest1d_33 = async_compile.triton('''
2022-11-23T01:32:32.5593866Z import triton
2022-11-23T01:32:32.5593962Z import triton.language as tl
2022-11-23T01:32:32.5594079Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5594176Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5594317Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5594447Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5594452Z 
2022-11-23T01:32:32.5594822Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5594900Z @triton.jit
2022-11-23T01:32:32.5595040Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5595115Z     xnumel = 288
2022-11-23T01:32:32.5595213Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5595369Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5595457Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5595535Z     x0 = xindex % 36
2022-11-23T01:32:32.5595615Z     x1 = (xindex // 36)
2022-11-23T01:32:32.5595690Z     x2 = xindex
2022-11-23T01:32:32.5595762Z     tmp0 = x0
2022-11-23T01:32:32.5595864Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5595937Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5596024Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5596172Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5596312Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5596400Z ''')
2022-11-23T01:32:32.5596405Z 
2022-11-23T01:32:32.5596410Z 
2022-11-23T01:32:32.5596505Z async_compile.wait(globals())
2022-11-23T01:32:32.5596587Z del async_compile
2022-11-23T01:32:32.5596592Z 
2022-11-23T01:32:32.5596668Z def call(args):
2022-11-23T01:32:32.5596735Z     arg0_1, = args
2022-11-23T01:32:32.5596811Z     args.clear()
2022-11-23T01:32:32.5597029Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5597240Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5597334Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5597529Z     triton_fused_upsample_nearest1d_4_upsample_nearest1d0.run(arg0_1, buf0, buf4, 592, grid=grid(592), stream=stream0)
2022-11-23T01:32:32.5597740Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5597895Z     triton_fused_upsample_nearest1d_11.run(arg0_1, buf1, 560, grid=grid(560), stream=stream0)
2022-11-23T01:32:32.5598101Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5598259Z     triton_fused_upsample_nearest1d_22.run(arg0_1, buf2, 360, grid=grid(360), stream=stream0)
2022-11-23T01:32:32.5598469Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5598627Z     triton_fused_upsample_nearest1d_33.run(arg0_1, buf3, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:32.5598701Z     del arg0_1
2022-11-23T01:32:32.5598811Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5598819Z 
2022-11-23T01:32:32.5598824Z 
2022-11-23T01:32:32.5598905Z if __name__ == "__main__":
2022-11-23T01:32:32.5599030Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5599154Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5599368Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5599485Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5599490Z 
2022-11-23T01:32:32.5599854Z [2022-11-23 01:30:48,325] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3r/c3roarsxjazg53gocok27x2gg4been2zlhupf6dp65z6amqwvwhj.py
2022-11-23T01:32:32.5600128Z [2022-11-23 01:30:48,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 805
2022-11-23T01:32:32.5600134Z 
2022-11-23T01:32:32.5600235Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5600310Z import torch
2022-11-23T01:32:32.5600386Z import random
2022-11-23T01:32:32.5600502Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5600633Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5600638Z 
2022-11-23T01:32:32.5600722Z aten = torch.ops.aten
2022-11-23T01:32:32.5600869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5600969Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5600974Z 
2022-11-23T01:32:32.5601049Z import triton
2022-11-23T01:32:32.5601144Z import triton.language as tl
2022-11-23T01:32:32.5601272Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5601410Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5601416Z 
2022-11-23T01:32:32.5601420Z 
2022-11-23T01:32:32.5601672Z triton_fused_upsample_nearest1d_upsample_nearest1d_40 = async_compile.triton('''
2022-11-23T01:32:32.5601750Z import triton
2022-11-23T01:32:32.5601844Z import triton.language as tl
2022-11-23T01:32:32.5601961Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5602088Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5602244Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5602381Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5602396Z 
2022-11-23T01:32:32.5602791Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5602866Z @triton.jit
2022-11-23T01:32:32.5603014Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5603089Z     xnumel = 592
2022-11-23T01:32:32.5603193Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5603326Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5603410Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5603480Z     x0 = xindex % 74
2022-11-23T01:32:32.5603561Z     x1 = (xindex // 74)
2022-11-23T01:32:32.5603636Z     x2 = xindex
2022-11-23T01:32:32.5603708Z     tmp0 = x0
2022-11-23T01:32:32.5603782Z     tmp1 = 0.5
2022-11-23T01:32:32.5603861Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5603949Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5604105Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5604242Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5604381Z     tl.store(out_ptr1 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5604468Z ''')
2022-11-23T01:32:32.5604474Z 
2022-11-23T01:32:32.5604478Z 
2022-11-23T01:32:32.5604669Z triton_fused_upsample_nearest1d_11 = async_compile.triton('''
2022-11-23T01:32:32.5604747Z import triton
2022-11-23T01:32:32.5604842Z import triton.language as tl
2022-11-23T01:32:32.5604959Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5605056Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5605195Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5605325Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5605331Z 
2022-11-23T01:32:32.5605702Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5605775Z @triton.jit
2022-11-23T01:32:32.5605912Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5605988Z     xnumel = 560
2022-11-23T01:32:32.5606089Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5606218Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5606303Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5606380Z     x0 = xindex % 70
2022-11-23T01:32:32.5606463Z     x1 = (xindex // 70)
2022-11-23T01:32:32.5606536Z     x2 = xindex
2022-11-23T01:32:32.5606608Z     tmp0 = x0
2022-11-23T01:32:32.5606684Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5606764Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5606850Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5607010Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5607147Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5607236Z ''')
2022-11-23T01:32:32.5607241Z 
2022-11-23T01:32:32.5607246Z 
2022-11-23T01:32:32.5607433Z triton_fused_upsample_nearest1d_22 = async_compile.triton('''
2022-11-23T01:32:32.5607509Z import triton
2022-11-23T01:32:32.5607596Z import triton.language as tl
2022-11-23T01:32:32.5607713Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5607846Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5607984Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5608113Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5608118Z 
2022-11-23T01:32:32.5608512Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5608585Z @triton.jit
2022-11-23T01:32:32.5608720Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5608788Z     xnumel = 360
2022-11-23T01:32:32.5608889Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5609022Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5609108Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5609184Z     x0 = xindex % 45
2022-11-23T01:32:32.5609264Z     x1 = (xindex // 45)
2022-11-23T01:32:32.5609338Z     x2 = xindex
2022-11-23T01:32:32.5609403Z     tmp0 = x0
2022-11-23T01:32:32.5609484Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5609564Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5609651Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5609814Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5609955Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5610044Z ''')
2022-11-23T01:32:32.5610049Z 
2022-11-23T01:32:32.5610054Z 
2022-11-23T01:32:32.5610239Z triton_fused_upsample_nearest1d_33 = async_compile.triton('''
2022-11-23T01:32:32.5610316Z import triton
2022-11-23T01:32:32.5610410Z import triton.language as tl
2022-11-23T01:32:32.5610528Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5610633Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5610768Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5610899Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5610905Z 
2022-11-23T01:32:32.5611276Z @pointwise(size_hints=[512], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5611347Z @triton.jit
2022-11-23T01:32:32.5611481Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5611555Z     xnumel = 288
2022-11-23T01:32:32.5611656Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5611790Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5611880Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5611957Z     x0 = xindex % 36
2022-11-23T01:32:32.5612030Z     x1 = (xindex // 36)
2022-11-23T01:32:32.5612103Z     x2 = xindex
2022-11-23T01:32:32.5612175Z     tmp0 = x0
2022-11-23T01:32:32.5612256Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5612335Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5612424Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5612588Z     tmp4 = tl.load(in_ptr0 + (tmp3 + (37*x1) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5612720Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.5612829Z ''')
2022-11-23T01:32:32.5612836Z 
2022-11-23T01:32:32.5612841Z 
2022-11-23T01:32:32.5612942Z async_compile.wait(globals())
2022-11-23T01:32:32.5613039Z del async_compile
2022-11-23T01:32:32.5613044Z 
2022-11-23T01:32:32.5613122Z def call(args):
2022-11-23T01:32:32.5613198Z     arg0_1, = args
2022-11-23T01:32:32.5613276Z     args.clear()
2022-11-23T01:32:32.5613488Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5613690Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5613783Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5614004Z     triton_fused_upsample_nearest1d_upsample_nearest1d_40.run(arg0_1, buf0, buf4, 592, grid=grid(592), stream=stream0)
2022-11-23T01:32:32.5614217Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5614376Z     triton_fused_upsample_nearest1d_11.run(arg0_1, buf1, 560, grid=grid(560), stream=stream0)
2022-11-23T01:32:32.5614603Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5614763Z     triton_fused_upsample_nearest1d_22.run(arg0_1, buf2, 360, grid=grid(360), stream=stream0)
2022-11-23T01:32:32.5614969Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5615119Z     triton_fused_upsample_nearest1d_33.run(arg0_1, buf3, 288, grid=grid(288), stream=stream0)
2022-11-23T01:32:32.5615193Z     del arg0_1
2022-11-23T01:32:32.5615302Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5615307Z 
2022-11-23T01:32:32.5615312Z 
2022-11-23T01:32:32.5615395Z if __name__ == "__main__":
2022-11-23T01:32:32.5615522Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5615653Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5615866Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5615985Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5615990Z 
2022-11-23T01:32:32.5616055Z ok (0.371s)
2022-11-23T01:32:32.5616399Z   test_upsample_nearest2d_backward_cuda (__main__.CudaTests) ... [2022-11-23 01:30:48,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5616718Z [2022-11-23 01:30:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5616940Z [2022-11-23 01:30:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5617200Z [2022-11-23 01:30:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5617480Z [2022-11-23 01:30:48,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5617798Z [2022-11-23 01:30:48,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5618149Z [2022-11-23 01:30:48,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5618470Z [2022-11-23 01:30:48,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5619102Z [2022-11-23 01:30:48,331] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995> 
2022-11-23T01:32:32.5619242Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5619353Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5619453Z                4 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5619553Z                6 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5619654Z                8 BUILD_LIST               2
2022-11-23T01:32:32.5619749Z               10 BUILD_LIST               0
2022-11-23T01:32:32.5619856Z               12 LOAD_CONST               3 ((3, 3, 3, 6))
2022-11-23T01:32:32.5619951Z               14 LIST_EXTEND              1
2022-11-23T01:32:32.5620149Z               16 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5620247Z               18 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5620253Z 
2022-11-23T01:32:32.5620354Z 2998          20 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5620453Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5620549Z               24 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5620729Z               26 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5620827Z               28 BUILD_LIST               2
2022-11-23T01:32:32.5620913Z               30 BUILD_LIST               0
2022-11-23T01:32:32.5621018Z               32 LOAD_CONST               5 ((3, 3, 4, 5))
2022-11-23T01:32:32.5621151Z               34 LIST_EXTEND              1
2022-11-23T01:32:32.5621335Z               36 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5621433Z               38 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5621438Z 
2022-11-23T01:32:32.5621539Z 2999          40 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5621636Z               42 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5621730Z               44 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5621822Z               46 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5621916Z               48 BUILD_LIST               2
2022-11-23T01:32:32.5622012Z               50 BUILD_LIST               0
2022-11-23T01:32:32.5622119Z               52 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:32.5622216Z               54 LIST_EXTEND              1
2022-11-23T01:32:32.5622399Z               56 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5622500Z               58 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5622505Z 
2022-11-23T01:32:32.5622596Z 3000          60 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5622694Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5622791Z               64 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5622888Z               66 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5622982Z               68 BUILD_LIST               2
2022-11-23T01:32:32.5623075Z               70 BUILD_LIST               0
2022-11-23T01:32:32.5623182Z               72 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:32.5623275Z               74 LIST_EXTEND              1
2022-11-23T01:32:32.5623458Z               76 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5623555Z               78 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5623560Z 
2022-11-23T01:32:32.5623660Z 3001          80 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5623759Z               82 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5623855Z               84 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5623954Z               86 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5624046Z               88 BUILD_LIST               2
2022-11-23T01:32:32.5624132Z               90 BUILD_LIST               0
2022-11-23T01:32:32.5624236Z               92 LOAD_CONST               7 ((3, 3, 4, 7))
2022-11-23T01:32:32.5624330Z               94 LIST_EXTEND              1
2022-11-23T01:32:32.5624517Z               96 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5624615Z               98 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5624620Z 
2022-11-23T01:32:32.5624716Z 2996         100 BUILD_TUPLE              5
2022-11-23T01:32:32.5624798Z              102 RETURN_VALUE
2022-11-23T01:32:32.5624864Z  
2022-11-23T01:32:32.5624869Z 
2022-11-23T01:32:32.5625186Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997
2022-11-23T01:32:32.5625412Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T01:32:32.5625708Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5626028Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5626417Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5626809Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5627147Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5627547Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5627946Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5628348Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5628752Z [2022-11-23 01:30:48,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5629070Z [2022-11-23 01:30:48,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998
2022-11-23T01:32:32.5629310Z [2022-11-23 01:30:48,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T01:32:32.5629629Z [2022-11-23 01:30:48,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5629978Z [2022-11-23 01:30:48,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5630440Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5630885Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5631253Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5631650Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5632079Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5632500Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5632938Z [2022-11-23 01:30:48,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5633247Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999
2022-11-23T01:32:32.5633553Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5633893Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5634259Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5634677Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5635115Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5635504Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5635924Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5636384Z [2022-11-23 01:30:48,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5636834Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5637300Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5637615Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000
2022-11-23T01:32:32.5637918Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5638280Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5638671Z [2022-11-23 01:30:48,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5639101Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5639565Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5639978Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5640450Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5640932Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5641426Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5641914Z [2022-11-23 01:30:48,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5642229Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001
2022-11-23T01:32:32.5642545Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5642987Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5643408Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5643865Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5644360Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5644802Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5645280Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5645786Z [2022-11-23 01:30:48,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5646289Z [2022-11-23 01:30:48,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5646803Z [2022-11-23 01:30:48,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5647116Z [2022-11-23 01:30:48,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996
2022-11-23T01:32:32.5647481Z [2022-11-23 01:30:48,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5647733Z [2022-11-23 01:30:48,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5648133Z [2022-11-23 01:30:48,340] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995>
2022-11-23T01:32:32.5648380Z [2022-11-23 01:30:48,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5648621Z [2022-11-23 01:30:48,340] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5648872Z [2022-11-23 01:30:48,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5649126Z [2022-11-23 01:30:48,345] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5649321Z [2022-11-23 01:30:48,345] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5649468Z  __compiled_fn_824 <eval_with_key>.5064 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5649566Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5649869Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T01:32:32.5650178Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T01:32:32.5650482Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:32.5650790Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:32.5651093Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T01:32:32.5651356Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T01:32:32.5651374Z 
2022-11-23T01:32:32.5651697Z [2022-11-23 01:30:48,346] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5651802Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5651900Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5651995Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5652096Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5652188Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5652286Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5652361Z              12 RETURN_VALUE
2022-11-23T01:32:32.5652366Z 
2022-11-23T01:32:32.5652432Z  
2022-11-23T01:32:32.5652761Z [2022-11-23 01:30:48,346] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5652905Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_824)
2022-11-23T01:32:32.5653011Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5653129Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5653212Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5653312Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5653418Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5653556Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.5653661Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.5653783Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.5653888Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.5653999Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5654096Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5654196Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.5654307Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5654404Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5654486Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.5654595Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5654691Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5654775Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.5654876Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5654972Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5655057Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.5655166Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5655263Z              46 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5655346Z              48 BINARY_SUBSCR
2022-11-23T01:32:32.5655443Z              50 BUILD_TUPLE              5
2022-11-23T01:32:32.5655537Z              52 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5655644Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.5655744Z              56 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5655825Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.5655936Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.5656035Z              62 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5656139Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.5656232Z              66 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5656307Z              68 BINARY_SUBSCR
2022-11-23T01:32:32.5656420Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.5656501Z              72 RETURN_VALUE
2022-11-23T01:32:32.5656507Z 
2022-11-23T01:32:32.5656577Z  
2022-11-23T01:32:32.5656767Z [2022-11-23 01:30:48,347] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5656847Z  - 
2022-11-23T01:32:32.5656971Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5657034Z             {
2022-11-23T01:32:32.5657182Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5657376Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5657501Z                 'obj_weakref': None
2022-11-23T01:32:32.5657729Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5657799Z             }
2022-11-23T01:32:32.5657868Z             
2022-11-23T01:32:32.5657938Z  - 
2022-11-23T01:32:32.5658068Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5658142Z             {
2022-11-23T01:32:32.5658294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5658408Z                 'code': None,
2022-11-23T01:32:32.5658629Z                 'obj_weakref': <weakref at 0x7f1f25f10db0; to 'Tensor' at 0x7f1fd81ba610>
2022-11-23T01:32:32.5659158Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5659224Z             }
2022-11-23T01:32:32.5659295Z             
2022-11-23T01:32:32.5659373Z  - 
2022-11-23T01:32:32.5659511Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5659580Z             {
2022-11-23T01:32:32.5659722Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5659901Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5660019Z                 'obj_weakref': None
2022-11-23T01:32:32.5660259Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5660376Z             }
2022-11-23T01:32:32.5660447Z             
2022-11-23T01:32:32.5660524Z  - 
2022-11-23T01:32:32.5660654Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5660722Z             {
2022-11-23T01:32:32.5660859Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5661117Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5661242Z                 'obj_weakref': None
2022-11-23T01:32:32.5661470Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5661539Z             }
2022-11-23T01:32:32.5661609Z             
2022-11-23T01:32:32.5661685Z  - 
2022-11-23T01:32:32.5661868Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:32.5661941Z             {
2022-11-23T01:32:32.5662082Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5662305Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139777176038336)'],
2022-11-23T01:32:32.5662547Z                 'obj_weakref': <weakref at 0x7f1f25f09530; to 'OpOverloadPacket' at 0x7f2068ecebc0>
2022-11-23T01:32:32.5662835Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:32.5662923Z             }
2022-11-23T01:32:32.5662985Z             
2022-11-23T01:32:32.5663252Z [2022-11-23 01:30:48,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 806
2022-11-23T01:32:32.5663506Z [2022-11-23 01:30:48,646] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.5663758Z [2022-11-23 01:30:48,702] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5664053Z [2022-11-23 01:30:48,707] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5664305Z [2022-11-23 01:30:48,762] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5664311Z 
2022-11-23T01:32:32.5664414Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5664490Z import torch
2022-11-23T01:32:32.5664566Z import random
2022-11-23T01:32:32.5664688Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5664817Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5664822Z 
2022-11-23T01:32:32.5664906Z aten = torch.ops.aten
2022-11-23T01:32:32.5665048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5665149Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5665155Z 
2022-11-23T01:32:32.5665231Z import triton
2022-11-23T01:32:32.5665328Z import triton.language as tl
2022-11-23T01:32:32.5665450Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5665597Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5665603Z 
2022-11-23T01:32:32.5665607Z 
2022-11-23T01:32:32.5665817Z triton_fused_upsample_nearest2d_backward_10 = async_compile.triton('''
2022-11-23T01:32:32.5665894Z import triton
2022-11-23T01:32:32.5665987Z import triton.language as tl
2022-11-23T01:32:32.5666105Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5666213Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5666350Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5666473Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5666478Z 
2022-11-23T01:32:32.5666851Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5666926Z @triton.jit
2022-11-23T01:32:32.5667062Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5667139Z     xnumel = 180
2022-11-23T01:32:32.5667283Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5667419Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5667507Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5667583Z     x1 = (xindex // 5) % 4
2022-11-23T01:32:32.5667659Z     x0 = xindex % 5
2022-11-23T01:32:32.5667761Z     x2 = (xindex // 20)
2022-11-23T01:32:32.5667833Z     x4 = xindex
2022-11-23T01:32:32.5667915Z     tmp0 = ((3 + (6*x1)) // 4)
2022-11-23T01:32:32.5667997Z     tmp1 = ((9 + (6*x1)) // 4)
2022-11-23T01:32:32.5668071Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5668154Z     tmp3 = ((4 + (12*x0)) // 5)
2022-11-23T01:32:32.5668239Z     tmp4 = ((16 + (12*x0)) // 5)
2022-11-23T01:32:32.5668320Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5668399Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5668581Z     tmp7 = tl.load(in_ptr0 + ((12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:32.5668681Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5668770Z     tmp9 = 1 + (((4 + (12*x0)) // 5))
2022-11-23T01:32:32.5668844Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5668925Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5669108Z     tmp12 = tl.load(in_ptr0 + (1 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:32.5669212Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5669294Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5669380Z     tmp15 = 2 + (((4 + (12*x0)) // 5))
2022-11-23T01:32:32.5669463Z     tmp16 = tmp15 < tmp4
2022-11-23T01:32:32.5669538Z     tmp17 = tmp2 & tmp16
2022-11-23T01:32:32.5669716Z     tmp18 = tl.load(in_ptr0 + (2 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:32.5669815Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5669899Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5669984Z     tmp21 = 1 + (((3 + (6*x1)) // 4))
2022-11-23T01:32:32.5670071Z     tmp22 = tmp21 < tmp1
2022-11-23T01:32:32.5670151Z     tmp23 = tmp22 & tmp5
2022-11-23T01:32:32.5670404Z     tmp24 = tl.load(in_ptr0 + (12 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0)
2022-11-23T01:32:32.5670520Z     tmp25 = tl.where(tmp23, tmp24, 0.0)
2022-11-23T01:32:32.5670617Z     tmp26 = tmp25 + tmp20
2022-11-23T01:32:32.5670712Z     tmp27 = tmp22 & tmp10
2022-11-23T01:32:32.5670911Z     tmp28 = tl.load(in_ptr0 + (13 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0)
2022-11-23T01:32:32.5671009Z     tmp29 = tl.where(tmp27, tmp28, 0.0)
2022-11-23T01:32:32.5671091Z     tmp30 = tmp29 + tmp26
2022-11-23T01:32:32.5671171Z     tmp31 = tmp22 & tmp16
2022-11-23T01:32:32.5671344Z     tmp32 = tl.load(in_ptr0 + (14 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0)
2022-11-23T01:32:32.5671443Z     tmp33 = tl.where(tmp31, tmp32, 0.0)
2022-11-23T01:32:32.5671524Z     tmp34 = tmp33 + tmp30
2022-11-23T01:32:32.5671662Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp34, xmask)
2022-11-23T01:32:32.5671754Z ''')
2022-11-23T01:32:32.5671760Z 
2022-11-23T01:32:32.5671767Z 
2022-11-23T01:32:32.5671971Z triton_fused_upsample_nearest2d_backward1 = async_compile.triton('''
2022-11-23T01:32:32.5672048Z import triton
2022-11-23T01:32:32.5672143Z import triton.language as tl
2022-11-23T01:32:32.5672253Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5672358Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5672495Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5672624Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5672629Z 
2022-11-23T01:32:32.5673030Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5673107Z @triton.jit
2022-11-23T01:32:32.5673246Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5673315Z     xnumel = 162
2022-11-23T01:32:32.5673416Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5673573Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5673659Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5673735Z     x0 = xindex % 6
2022-11-23T01:32:32.5673816Z     x1 = (xindex // 6)
2022-11-23T01:32:32.5673888Z     x2 = xindex
2022-11-23T01:32:32.5673994Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (24*x1)), xmask)
2022-11-23T01:32:32.5674111Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (24*x1)), xmask)
2022-11-23T01:32:32.5674228Z     tmp3 = tl.load(in_ptr0 + (12 + (2*x0) + (24*x1)), xmask)
2022-11-23T01:32:32.5674342Z     tmp5 = tl.load(in_ptr0 + (13 + (2*x0) + (24*x1)), xmask)
2022-11-23T01:32:32.5674423Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:32.5674506Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:32.5674585Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:32.5674652Z     tmp7 = 1.0
2022-11-23T01:32:32.5674729Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:32.5674867Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5674960Z ''')
2022-11-23T01:32:32.5674965Z 
2022-11-23T01:32:32.5674970Z 
2022-11-23T01:32:32.5675234Z triton_fused_upsample_nearest2d_backward_2_upsample_nearest2d_backward_32 = async_compile.triton('''
2022-11-23T01:32:32.5675311Z import triton
2022-11-23T01:32:32.5675405Z import triton.language as tl
2022-11-23T01:32:32.5675522Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5675618Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5675754Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5675884Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5675889Z 
2022-11-23T01:32:32.5676281Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5676356Z @triton.jit
2022-11-23T01:32:32.5676504Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5676583Z     xnumel = 144
2022-11-23T01:32:32.5676681Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5676808Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5676894Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5676977Z     x1 = (xindex // 8) % 2
2022-11-23T01:32:32.5677055Z     x0 = xindex % 8
2022-11-23T01:32:32.5677134Z     x3 = (xindex // 8)
2022-11-23T01:32:32.5677206Z     x4 = xindex
2022-11-23T01:32:32.5677282Z     tmp0 = 3*x1
2022-11-23T01:32:32.5677353Z     tmp1 = 3 + (3*x1)
2022-11-23T01:32:32.5677432Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5677514Z     tmp3 = ((7 + (12*x0)) // 8)
2022-11-23T01:32:32.5677602Z     tmp4 = ((19 + (12*x0)) // 8)
2022-11-23T01:32:32.5677682Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5677760Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5677918Z     tmp7 = tl.load(in_ptr0 + ((36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:32.5678020Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5678106Z     tmp9 = 1 + (((7 + (12*x0)) // 8))
2022-11-23T01:32:32.5678190Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5678273Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5678442Z     tmp12 = tl.load(in_ptr0 + (1 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:32.5678541Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5678622Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5678692Z     tmp15 = 1 + (3*x1)
2022-11-23T01:32:32.5678774Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:32.5678853Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:32.5679053Z     tmp18 = tl.load(in_ptr0 + (12 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:32.5679153Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5679235Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5679320Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:32.5679499Z     tmp22 = tl.load(in_ptr0 + (13 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:32.5679595Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:32.5679677Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:32.5679753Z     tmp25 = 2 + (3*x1)
2022-11-23T01:32:32.5679835Z     tmp26 = tmp25 < tmp1
2022-11-23T01:32:32.5679916Z     tmp27 = tmp26 & tmp5
2022-11-23T01:32:32.5680074Z     tmp28 = tl.load(in_ptr0 + (24 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0)
2022-11-23T01:32:32.5680164Z     tmp29 = tl.where(tmp27, tmp28, 0.0)
2022-11-23T01:32:32.5680247Z     tmp30 = tmp29 + tmp24
2022-11-23T01:32:32.5680330Z     tmp31 = tmp26 & tmp10
2022-11-23T01:32:32.5680493Z     tmp32 = tl.load(in_ptr0 + (25 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0)
2022-11-23T01:32:32.5680591Z     tmp33 = tl.where(tmp31, tmp32, 0.0)
2022-11-23T01:32:32.5680675Z     tmp34 = tmp33 + tmp30
2022-11-23T01:32:32.5680839Z     tmp35 = tl.load(in_ptr0 + ((36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:32.5680937Z     tmp36 = tl.where(tmp6, tmp35, 0.0)
2022-11-23T01:32:32.5681096Z     tmp37 = tl.load(in_ptr0 + (1 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:32.5681194Z     tmp38 = tl.where(tmp11, tmp37, 0.0)
2022-11-23T01:32:32.5681277Z     tmp39 = tmp38 + tmp36
2022-11-23T01:32:32.5681440Z     tmp40 = tl.load(in_ptr0 + (12 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:32.5681534Z     tmp41 = tl.where(tmp17, tmp40, 0.0)
2022-11-23T01:32:32.5681619Z     tmp42 = tmp41 + tmp39
2022-11-23T01:32:32.5681777Z     tmp43 = tl.load(in_ptr0 + (13 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:32.5681866Z     tmp44 = tl.where(tmp21, tmp43, 0.0)
2022-11-23T01:32:32.5681949Z     tmp45 = tmp44 + tmp42
2022-11-23T01:32:32.5682105Z     tmp46 = tl.load(in_ptr0 + (24 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0)
2022-11-23T01:32:32.5682204Z     tmp47 = tl.where(tmp27, tmp46, 0.0)
2022-11-23T01:32:32.5682285Z     tmp48 = tmp47 + tmp45
2022-11-23T01:32:32.5682440Z     tmp49 = tl.load(in_ptr0 + (25 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0)
2022-11-23T01:32:32.5682534Z     tmp50 = tl.where(tmp31, tmp49, 0.0)
2022-11-23T01:32:32.5682618Z     tmp51 = tmp50 + tmp48
2022-11-23T01:32:32.5682750Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp34, xmask)
2022-11-23T01:32:32.5682919Z     tl.store(out_ptr1 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp51, xmask)
2022-11-23T01:32:32.5683024Z ''')
2022-11-23T01:32:32.5683031Z 
2022-11-23T01:32:32.5683037Z 
2022-11-23T01:32:32.5683248Z triton_fused_upsample_nearest2d_backward_43 = async_compile.triton('''
2022-11-23T01:32:32.5683327Z import triton
2022-11-23T01:32:32.5683423Z import triton.language as tl
2022-11-23T01:32:32.5683543Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5683646Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5683776Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5683905Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5683910Z 
2022-11-23T01:32:32.5684283Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5684358Z @triton.jit
2022-11-23T01:32:32.5684548Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5684627Z     xnumel = 252
2022-11-23T01:32:32.5684724Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5684850Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5684956Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5685038Z     x1 = (xindex // 7) % 4
2022-11-23T01:32:32.5685114Z     x0 = xindex % 7
2022-11-23T01:32:32.5685194Z     x2 = (xindex // 28)
2022-11-23T01:32:32.5685265Z     x4 = xindex
2022-11-23T01:32:32.5685347Z     tmp0 = ((3 + (6*x1)) // 4)
2022-11-23T01:32:32.5685422Z     tmp1 = ((9 + (6*x1)) // 4)
2022-11-23T01:32:32.5685505Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5685589Z     tmp3 = ((6 + (12*x0)) // 7)
2022-11-23T01:32:32.5685675Z     tmp4 = ((18 + (12*x0)) // 7)
2022-11-23T01:32:32.5685755Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5685834Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5686017Z     tmp7 = tl.load(in_ptr0 + ((12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0)
2022-11-23T01:32:32.5686108Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5686194Z     tmp9 = 1 + (((6 + (12*x0)) // 7))
2022-11-23T01:32:32.5686274Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5686359Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5686539Z     tmp12 = tl.load(in_ptr0 + (1 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0)
2022-11-23T01:32:32.5686637Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5686719Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5686806Z     tmp15 = 1 + (((3 + (6*x1)) // 4))
2022-11-23T01:32:32.5686880Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:32.5686962Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:32.5687144Z     tmp18 = tl.load(in_ptr0 + (12 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0)
2022-11-23T01:32:32.5687244Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5687326Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5687407Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:32.5687589Z     tmp22 = tl.load(in_ptr0 + (13 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0)
2022-11-23T01:32:32.5687682Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:32.5687762Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:32.5687898Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp24, xmask)
2022-11-23T01:32:32.5687987Z ''')
2022-11-23T01:32:32.5687994Z 
2022-11-23T01:32:32.5687998Z 
2022-11-23T01:32:32.5688094Z async_compile.wait(globals())
2022-11-23T01:32:32.5688172Z del async_compile
2022-11-23T01:32:32.5688177Z 
2022-11-23T01:32:32.5688254Z def call(args):
2022-11-23T01:32:32.5688330Z     arg0_1, = args
2022-11-23T01:32:32.5688400Z     args.clear()
2022-11-23T01:32:32.5688621Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5688720Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5688893Z     triton_fused_upsample_nearest2d_backward_10.run(arg0_1, buf0, 180, grid=grid(180), stream=stream0)
2022-11-23T01:32:32.5689108Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5689287Z     triton_fused_upsample_nearest2d_backward1.run(arg0_1, buf1, 162, grid=grid(162), stream=stream0)
2022-11-23T01:32:32.5689499Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5689707Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5689909Z     triton_fused_upsample_nearest2d_backward_2_upsample_nearest2d_backward_32.run(arg0_1, buf2, buf3, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:32.5690117Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5690315Z     triton_fused_upsample_nearest2d_backward_43.run(arg0_1, buf4, 252, grid=grid(252), stream=stream0)
2022-11-23T01:32:32.5690392Z     del arg0_1
2022-11-23T01:32:32.5690500Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T01:32:32.5690505Z 
2022-11-23T01:32:32.5690510Z 
2022-11-23T01:32:32.5690616Z if __name__ == "__main__":
2022-11-23T01:32:32.5690737Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5690866Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5691077Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5691192Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5691559Z [2022-11-23 01:30:48,968] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d2/cd2wye7vbwyrxiahbaaumzcnec7d3z5r5rwzto3vgxo55mhg2j7h.py
2022-11-23T01:32:32.5691828Z [2022-11-23 01:30:48,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 806
2022-11-23T01:32:32.5692071Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5692387Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5692619Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5692918Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5693194Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5693506Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5693851Z [2022-11-23 01:30:48,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5694179Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5694561Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995> 
2022-11-23T01:32:32.5694663Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5694762Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5694861Z                4 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5694961Z                6 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5695057Z                8 BUILD_LIST               2
2022-11-23T01:32:32.5695145Z               10 BUILD_LIST               0
2022-11-23T01:32:32.5695252Z               12 LOAD_CONST               3 ((3, 3, 3, 6))
2022-11-23T01:32:32.5695348Z               14 LIST_EXTEND              1
2022-11-23T01:32:32.5695535Z               16 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5695633Z               18 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5695640Z 
2022-11-23T01:32:32.5695740Z 2998          20 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5695837Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5695932Z               24 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5696024Z               26 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5696118Z               28 BUILD_LIST               2
2022-11-23T01:32:32.5696211Z               30 BUILD_LIST               0
2022-11-23T01:32:32.5696321Z               32 LOAD_CONST               5 ((3, 3, 4, 5))
2022-11-23T01:32:32.5696419Z               34 LIST_EXTEND              1
2022-11-23T01:32:32.5696607Z               36 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5696729Z               38 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5696735Z 
2022-11-23T01:32:32.5696827Z 2999          40 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5696923Z               42 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5697051Z               44 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5697150Z               46 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5697244Z               48 BUILD_LIST               2
2022-11-23T01:32:32.5697338Z               50 BUILD_LIST               0
2022-11-23T01:32:32.5697447Z               52 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:32.5697541Z               54 LIST_EXTEND              1
2022-11-23T01:32:32.5697719Z               56 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5697818Z               58 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5697823Z 
2022-11-23T01:32:32.5697921Z 3000          60 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5698020Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5698119Z               64 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5698217Z               66 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5698313Z               68 BUILD_LIST               2
2022-11-23T01:32:32.5698402Z               70 BUILD_LIST               0
2022-11-23T01:32:32.5698507Z               72 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:32:32.5698601Z               74 LIST_EXTEND              1
2022-11-23T01:32:32.5698970Z               76 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5699074Z               78 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5699079Z 
2022-11-23T01:32:32.5699177Z 3001          80 LOAD_DEREF               0 (func)
2022-11-23T01:32:32.5699273Z               82 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5699370Z               84 LOAD_CONST               1 (6)
2022-11-23T01:32:32.5699466Z               86 LOAD_CONST               2 (12)
2022-11-23T01:32:32.5699560Z               88 BUILD_LIST               2
2022-11-23T01:32:32.5699652Z               90 BUILD_LIST               0
2022-11-23T01:32:32.5699756Z               92 LOAD_CONST               7 ((3, 3, 4, 7))
2022-11-23T01:32:32.5699850Z               94 LIST_EXTEND              1
2022-11-23T01:32:32.5700041Z               96 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:32.5700138Z               98 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.5700143Z 
2022-11-23T01:32:32.5700229Z 2996         100 BUILD_TUPLE              5
2022-11-23T01:32:32.5700312Z              102 RETURN_VALUE
2022-11-23T01:32:32.5700379Z  
2022-11-23T01:32:32.5700383Z 
2022-11-23T01:32:32.5700702Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997
2022-11-23T01:32:32.5700925Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T01:32:32.5701219Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5701535Z [2022-11-23 01:30:48,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5701893Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5702281Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5702619Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5703033Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5703436Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5703871Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5704278Z [2022-11-23 01:30:48,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5704592Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998
2022-11-23T01:32:32.5704844Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T01:32:32.5705157Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5705506Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5705880Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5706293Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5706657Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5707053Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5707486Z [2022-11-23 01:30:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5707921Z [2022-11-23 01:30:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5708371Z [2022-11-23 01:30:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5708682Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999
2022-11-23T01:32:32.5708962Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5709307Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5709680Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5710128Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5710660Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5711072Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5711494Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5711954Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5712406Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5712872Z [2022-11-23 01:30:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5713185Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000
2022-11-23T01:32:32.5713485Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5713849Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5714246Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5714674Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5715133Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5715547Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5715996Z [2022-11-23 01:30:48,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5716476Z [2022-11-23 01:30:48,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5716980Z [2022-11-23 01:30:48,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5717473Z [2022-11-23 01:30:48,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5717809Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001
2022-11-23T01:32:32.5718132Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5718525Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:32.5718944Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:32.5719398Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5719887Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5720329Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5720808Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5721319Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5721827Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:32.5722340Z [2022-11-23 01:30:48,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5722662Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996
2022-11-23T01:32:32.5723045Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5723310Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5723703Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995>
2022-11-23T01:32:32.5723954Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5724193Z [2022-11-23 01:30:48,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5724472Z [2022-11-23 01:30:48,983] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5724727Z [2022-11-23 01:30:48,987] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5724919Z [2022-11-23 01:30:48,987] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5725063Z  __compiled_fn_825 <eval_with_key>.5070 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5725160Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5725464Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T01:32:32.5725761Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T01:32:32.5726061Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:32.5726364Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:32.5726667Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T01:32:32.5726934Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T01:32:32.5726940Z 
2022-11-23T01:32:32.5727276Z [2022-11-23 01:30:48,988] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5727381Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5727481Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5727581Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5727684Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5727770Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5727868Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5727952Z              12 RETURN_VALUE
2022-11-23T01:32:32.5727958Z 
2022-11-23T01:32:32.5728026Z  
2022-11-23T01:32:32.5728354Z [2022-11-23 01:30:48,988] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5728475Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_825)
2022-11-23T01:32:32.5728578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5728671Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5728755Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5728851Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5728964Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5729109Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.5729215Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.5729309Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.5729413Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.5729517Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5729616Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5729700Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.5729814Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5729941Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5730027Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.5730136Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5730226Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5730333Z              36 BINARY_SUBSCR
2022-11-23T01:32:32.5730444Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5730542Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5730624Z              42 BINARY_SUBSCR
2022-11-23T01:32:32.5730732Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5730829Z              46 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5730904Z              48 BINARY_SUBSCR
2022-11-23T01:32:32.5731001Z              50 BUILD_TUPLE              5
2022-11-23T01:32:32.5731103Z              52 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5731212Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.5731311Z              56 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5731393Z              58 BINARY_SUBSCR
2022-11-23T01:32:32.5731504Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.5731596Z              62 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5731705Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.5731800Z              66 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5731883Z              68 BINARY_SUBSCR
2022-11-23T01:32:32.5731991Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.5732074Z              72 RETURN_VALUE
2022-11-23T01:32:32.5732079Z 
2022-11-23T01:32:32.5732146Z  
2022-11-23T01:32:32.5732330Z [2022-11-23 01:30:48,989] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5732408Z  - 
2022-11-23T01:32:32.5732533Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5732606Z             {
2022-11-23T01:32:32.5732782Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5732999Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5733125Z                 'obj_weakref': None
2022-11-23T01:32:32.5733354Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5733424Z             }
2022-11-23T01:32:32.5733493Z             
2022-11-23T01:32:32.5733570Z  - 
2022-11-23T01:32:32.5733704Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5733774Z             {
2022-11-23T01:32:32.5733924Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5734030Z                 'code': None,
2022-11-23T01:32:32.5734246Z                 'obj_weakref': <weakref at 0x7f1f25b74770; to 'Tensor' at 0x7f2151f18c20>
2022-11-23T01:32:32.5734500Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5734574Z             }
2022-11-23T01:32:32.5734647Z             
2022-11-23T01:32:32.5734725Z  - 
2022-11-23T01:32:32.5734862Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5734924Z             {
2022-11-23T01:32:32.5735065Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5735244Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5735373Z                 'obj_weakref': None
2022-11-23T01:32:32.5735609Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5735682Z             }
2022-11-23T01:32:32.5735754Z             
2022-11-23T01:32:32.5735824Z  - 
2022-11-23T01:32:32.5735953Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5736022Z             {
2022-11-23T01:32:32.5736165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5736387Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5736512Z                 'obj_weakref': None
2022-11-23T01:32:32.5736770Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5736843Z             }
2022-11-23T01:32:32.5736905Z             
2022-11-23T01:32:32.5736983Z  - 
2022-11-23T01:32:32.5737173Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:32.5737264Z             {
2022-11-23T01:32:32.5737407Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5737627Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 139777176038336)'],
2022-11-23T01:32:32.5737866Z                 'obj_weakref': <weakref at 0x7f1f25f09530; to 'OpOverloadPacket' at 0x7f2068ecebc0>
2022-11-23T01:32:32.5738112Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:32.5738182Z             }
2022-11-23T01:32:32.5738253Z             
2022-11-23T01:32:32.5738525Z [2022-11-23 01:30:48,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 807
2022-11-23T01:32:32.5738959Z [2022-11-23 01:30:49,223] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.5739215Z [2022-11-23 01:30:49,271] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5739514Z [2022-11-23 01:30:49,276] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2'), SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5739764Z [2022-11-23 01:30:49,323] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5739769Z 
2022-11-23T01:32:32.5739774Z 
2022-11-23T01:32:32.5739878Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5739947Z import torch
2022-11-23T01:32:32.5740024Z import random
2022-11-23T01:32:32.5740148Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5740279Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5740284Z 
2022-11-23T01:32:32.5740373Z aten = torch.ops.aten
2022-11-23T01:32:32.5740520Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5740623Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5740628Z 
2022-11-23T01:32:32.5740697Z import triton
2022-11-23T01:32:32.5740797Z import triton.language as tl
2022-11-23T01:32:32.5740927Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5741073Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5741079Z 
2022-11-23T01:32:32.5741083Z 
2022-11-23T01:32:32.5741288Z triton_fused_upsample_nearest2d_backward_10 = async_compile.triton('''
2022-11-23T01:32:32.5741363Z import triton
2022-11-23T01:32:32.5741458Z import triton.language as tl
2022-11-23T01:32:32.5741575Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5741674Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5741812Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5741946Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5741951Z 
2022-11-23T01:32:32.5742327Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5742404Z @triton.jit
2022-11-23T01:32:32.5742543Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5742619Z     xnumel = 180
2022-11-23T01:32:32.5742722Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5742850Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5742935Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5743019Z     x1 = (xindex // 5) % 4
2022-11-23T01:32:32.5743100Z     x0 = xindex % 5
2022-11-23T01:32:32.5743182Z     x2 = (xindex // 20)
2022-11-23T01:32:32.5743254Z     x4 = xindex
2022-11-23T01:32:32.5743330Z     tmp0 = ((3 + (6*x1)) // 4)
2022-11-23T01:32:32.5743456Z     tmp1 = ((9 + (6*x1)) // 4)
2022-11-23T01:32:32.5743539Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5743621Z     tmp3 = ((4 + (12*x0)) // 5)
2022-11-23T01:32:32.5743704Z     tmp4 = ((16 + (12*x0)) // 5)
2022-11-23T01:32:32.5743784Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5743865Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5744086Z     tmp7 = tl.load(in_ptr0 + ((12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:32.5744185Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5744272Z     tmp9 = 1 + (((4 + (12*x0)) // 5))
2022-11-23T01:32:32.5744357Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5744441Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5744638Z     tmp12 = tl.load(in_ptr0 + (1 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0).to(tl.float32)
2022-11-23T01:32:32.5744738Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5744824Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5744904Z     tmp15 = 2 + (((4 + (12*x0)) // 5))
2022-11-23T01:32:32.5744985Z     tmp16 = tmp15 < tmp4
2022-11-23T01:32:32.5745068Z     tmp17 = tmp2 & tmp16
2022-11-23T01:32:32.5745262Z     tmp18 = tl.load(in_ptr0 + (2 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:32.5745364Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5745446Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5745536Z     tmp21 = 1 + (((3 + (6*x1)) // 4))
2022-11-23T01:32:32.5745611Z     tmp22 = tmp21 < tmp1
2022-11-23T01:32:32.5745692Z     tmp23 = tmp22 & tmp5
2022-11-23T01:32:32.5745882Z     tmp24 = tl.load(in_ptr0 + (12 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp23, other=0).to(tl.float32)
2022-11-23T01:32:32.5745983Z     tmp25 = tl.where(tmp23, tmp24, 0.0)
2022-11-23T01:32:32.5746066Z     tmp26 = tmp25 + tmp20
2022-11-23T01:32:32.5746150Z     tmp27 = tmp22 & tmp10
2022-11-23T01:32:32.5746333Z     tmp28 = tl.load(in_ptr0 + (13 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0).to(tl.float32)
2022-11-23T01:32:32.5746435Z     tmp29 = tl.where(tmp27, tmp28, 0.0)
2022-11-23T01:32:32.5746509Z     tmp30 = tmp29 + tmp26
2022-11-23T01:32:32.5746590Z     tmp31 = tmp22 & tmp16
2022-11-23T01:32:32.5746770Z     tmp32 = tl.load(in_ptr0 + (14 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((4 + (12*x0)) // 5)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0).to(tl.float32)
2022-11-23T01:32:32.5746867Z     tmp33 = tl.where(tmp31, tmp32, 0.0)
2022-11-23T01:32:32.5746949Z     tmp34 = tmp33 + tmp30
2022-11-23T01:32:32.5747088Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp34, xmask)
2022-11-23T01:32:32.5747178Z ''')
2022-11-23T01:32:32.5747184Z 
2022-11-23T01:32:32.5747188Z 
2022-11-23T01:32:32.5747395Z triton_fused_upsample_nearest2d_backward1 = async_compile.triton('''
2022-11-23T01:32:32.5747465Z import triton
2022-11-23T01:32:32.5747560Z import triton.language as tl
2022-11-23T01:32:32.5747681Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5747788Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5747930Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5748060Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5748065Z 
2022-11-23T01:32:32.5748433Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5748508Z @triton.jit
2022-11-23T01:32:32.5748638Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5748714Z     xnumel = 162
2022-11-23T01:32:32.5748814Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5748977Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5749064Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5749140Z     x0 = xindex % 6
2022-11-23T01:32:32.5749221Z     x1 = (xindex // 6)
2022-11-23T01:32:32.5749287Z     x2 = xindex
2022-11-23T01:32:32.5749420Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (24*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.5749576Z     tmp1 = tl.load(in_ptr0 + (1 + (2*x0) + (24*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.5749706Z     tmp3 = tl.load(in_ptr0 + (12 + (2*x0) + (24*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.5749836Z     tmp5 = tl.load(in_ptr0 + (13 + (2*x0) + (24*x1)), xmask).to(tl.float32)
2022-11-23T01:32:32.5749918Z     tmp2 = tmp1 + tmp0
2022-11-23T01:32:32.5749998Z     tmp4 = tmp3 + tmp2
2022-11-23T01:32:32.5750071Z     tmp6 = tmp5 + tmp4
2022-11-23T01:32:32.5750146Z     tmp7 = 1.0
2022-11-23T01:32:32.5750226Z     tmp8 = tmp6 * tmp7
2022-11-23T01:32:32.5750442Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5750536Z ''')
2022-11-23T01:32:32.5750541Z 
2022-11-23T01:32:32.5750546Z 
2022-11-23T01:32:32.5750803Z triton_fused_upsample_nearest2d_backward_3_upsample_nearest2d_backward_22 = async_compile.triton('''
2022-11-23T01:32:32.5750881Z import triton
2022-11-23T01:32:32.5750968Z import triton.language as tl
2022-11-23T01:32:32.5751089Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5751194Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5751329Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5751458Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5751464Z 
2022-11-23T01:32:32.5751850Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5751925Z @triton.jit
2022-11-23T01:32:32.5752076Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5752143Z     xnumel = 144
2022-11-23T01:32:32.5752241Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5752375Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5752458Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5752544Z     x1 = (xindex // 8) % 2
2022-11-23T01:32:32.5752620Z     x0 = xindex % 8
2022-11-23T01:32:32.5752696Z     x3 = (xindex // 8)
2022-11-23T01:32:32.5752759Z     x4 = xindex
2022-11-23T01:32:32.5752833Z     tmp0 = 3*x1
2022-11-23T01:32:32.5752908Z     tmp1 = 3 + (3*x1)
2022-11-23T01:32:32.5752986Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5753068Z     tmp3 = ((7 + (12*x0)) // 8)
2022-11-23T01:32:32.5753152Z     tmp4 = ((19 + (12*x0)) // 8)
2022-11-23T01:32:32.5753230Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5753300Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5753480Z     tmp7 = tl.load(in_ptr0 + ((36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:32.5753580Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5753664Z     tmp9 = 1 + (((7 + (12*x0)) // 8))
2022-11-23T01:32:32.5753743Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5753824Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5754006Z     tmp12 = tl.load(in_ptr0 + (1 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0).to(tl.float32)
2022-11-23T01:32:32.5754098Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5754179Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5754254Z     tmp15 = 1 + (3*x1)
2022-11-23T01:32:32.5754335Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:32.5754413Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:32.5754592Z     tmp18 = tl.load(in_ptr0 + (12 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:32.5754689Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5754763Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5754884Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:32.5755064Z     tmp22 = tl.load(in_ptr0 + (13 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:32.5755162Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:32.5755268Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:32.5755344Z     tmp25 = 2 + (3*x1)
2022-11-23T01:32:32.5755424Z     tmp26 = tmp25 < tmp1
2022-11-23T01:32:32.5755496Z     tmp27 = tmp26 & tmp5
2022-11-23T01:32:32.5755670Z     tmp28 = tl.load(in_ptr0 + (24 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0).to(tl.float32)
2022-11-23T01:32:32.5755766Z     tmp29 = tl.where(tmp27, tmp28, 0.0)
2022-11-23T01:32:32.5755846Z     tmp30 = tmp29 + tmp24
2022-11-23T01:32:32.5755925Z     tmp31 = tmp26 & tmp10
2022-11-23T01:32:32.5756097Z     tmp32 = tl.load(in_ptr0 + (25 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0).to(tl.float32)
2022-11-23T01:32:32.5756197Z     tmp33 = tl.where(tmp31, tmp32, 0.0)
2022-11-23T01:32:32.5756277Z     tmp34 = tmp33 + tmp30
2022-11-23T01:32:32.5756447Z     tmp35 = tl.load(in_ptr0 + ((36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:32.5756545Z     tmp36 = tl.where(tmp6, tmp35, 0.0)
2022-11-23T01:32:32.5756723Z     tmp37 = tl.load(in_ptr0 + (1 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0).to(tl.float32)
2022-11-23T01:32:32.5756819Z     tmp38 = tl.where(tmp11, tmp37, 0.0)
2022-11-23T01:32:32.5756898Z     tmp39 = tmp38 + tmp36
2022-11-23T01:32:32.5757072Z     tmp40 = tl.load(in_ptr0 + (12 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:32.5757167Z     tmp41 = tl.where(tmp17, tmp40, 0.0)
2022-11-23T01:32:32.5757247Z     tmp42 = tmp41 + tmp39
2022-11-23T01:32:32.5757411Z     tmp43 = tl.load(in_ptr0 + (13 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:32.5757508Z     tmp44 = tl.where(tmp21, tmp43, 0.0)
2022-11-23T01:32:32.5757587Z     tmp45 = tmp44 + tmp42
2022-11-23T01:32:32.5757755Z     tmp46 = tl.load(in_ptr0 + (24 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp27, other=0).to(tl.float32)
2022-11-23T01:32:32.5757853Z     tmp47 = tl.where(tmp27, tmp46, 0.0)
2022-11-23T01:32:32.5757933Z     tmp48 = tmp47 + tmp45
2022-11-23T01:32:32.5758101Z     tmp49 = tl.load(in_ptr0 + (25 + (36*x3) + (((7 + (12*x0)) // 8)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp31, other=0).to(tl.float32)
2022-11-23T01:32:32.5758194Z     tmp50 = tl.where(tmp31, tmp49, 0.0)
2022-11-23T01:32:32.5758267Z     tmp51 = tmp50 + tmp48
2022-11-23T01:32:32.5758403Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp34, xmask)
2022-11-23T01:32:32.5758539Z     tl.store(out_ptr1 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp51, xmask)
2022-11-23T01:32:32.5758629Z ''')
2022-11-23T01:32:32.5758637Z 
2022-11-23T01:32:32.5758641Z 
2022-11-23T01:32:32.5758845Z triton_fused_upsample_nearest2d_backward_43 = async_compile.triton('''
2022-11-23T01:32:32.5758921Z import triton
2022-11-23T01:32:32.5759015Z import triton.language as tl
2022-11-23T01:32:32.5759127Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5759236Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5759372Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5759502Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5759507Z 
2022-11-23T01:32:32.5759880Z @pointwise(size_hints=[256], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.5759953Z @triton.jit
2022-11-23T01:32:32.5760092Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5760167Z     xnumel = 252
2022-11-23T01:32:32.5760284Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5760418Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5760503Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5760585Z     x1 = (xindex // 7) % 4
2022-11-23T01:32:32.5760687Z     x0 = xindex % 7
2022-11-23T01:32:32.5760767Z     x2 = (xindex // 28)
2022-11-23T01:32:32.5760837Z     x4 = xindex
2022-11-23T01:32:32.5760911Z     tmp0 = ((3 + (6*x1)) // 4)
2022-11-23T01:32:32.5760994Z     tmp1 = ((9 + (6*x1)) // 4)
2022-11-23T01:32:32.5761073Z     tmp2 = tmp0 < tmp1
2022-11-23T01:32:32.5761155Z     tmp3 = ((6 + (12*x0)) // 7)
2022-11-23T01:32:32.5761238Z     tmp4 = ((18 + (12*x0)) // 7)
2022-11-23T01:32:32.5761316Z     tmp5 = tmp3 < tmp4
2022-11-23T01:32:32.5761393Z     tmp6 = tmp2 & tmp5
2022-11-23T01:32:32.5761578Z     tmp7 = tl.load(in_ptr0 + ((12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp6, other=0).to(tl.float32)
2022-11-23T01:32:32.5761678Z     tmp8 = tl.where(tmp6, tmp7, 0.0)
2022-11-23T01:32:32.5761762Z     tmp9 = 1 + (((6 + (12*x0)) // 7))
2022-11-23T01:32:32.5761841Z     tmp10 = tmp9 < tmp4
2022-11-23T01:32:32.5761923Z     tmp11 = tmp2 & tmp10
2022-11-23T01:32:32.5762116Z     tmp12 = tl.load(in_ptr0 + (1 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp11, other=0).to(tl.float32)
2022-11-23T01:32:32.5762215Z     tmp13 = tl.where(tmp11, tmp12, 0.0)
2022-11-23T01:32:32.5762297Z     tmp14 = tmp13 + tmp8
2022-11-23T01:32:32.5762375Z     tmp15 = 1 + (((3 + (6*x1)) // 4))
2022-11-23T01:32:32.5762472Z     tmp16 = tmp15 < tmp1
2022-11-23T01:32:32.5762558Z     tmp17 = tmp16 & tmp5
2022-11-23T01:32:32.5762771Z     tmp18 = tl.load(in_ptr0 + (12 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp17, other=0).to(tl.float32)
2022-11-23T01:32:32.5762866Z     tmp19 = tl.where(tmp17, tmp18, 0.0)
2022-11-23T01:32:32.5762947Z     tmp20 = tmp19 + tmp14
2022-11-23T01:32:32.5763033Z     tmp21 = tmp16 & tmp10
2022-11-23T01:32:32.5763207Z     tmp22 = tl.load(in_ptr0 + (13 + (12*(((3 + (6*x1)) // 4))) + (72*x2) + (((6 + (12*x0)) // 7)) + tl.zeros([XBLOCK], tl.int32)), xmask & tmp21, other=0).to(tl.float32)
2022-11-23T01:32:32.5763306Z     tmp23 = tl.where(tmp21, tmp22, 0.0)
2022-11-23T01:32:32.5763386Z     tmp24 = tmp23 + tmp20
2022-11-23T01:32:32.5763524Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp24, xmask)
2022-11-23T01:32:32.5763613Z ''')
2022-11-23T01:32:32.5763618Z 
2022-11-23T01:32:32.5763623Z 
2022-11-23T01:32:32.5763717Z async_compile.wait(globals())
2022-11-23T01:32:32.5763795Z del async_compile
2022-11-23T01:32:32.5763800Z 
2022-11-23T01:32:32.5763875Z def call(args):
2022-11-23T01:32:32.5763942Z     arg0_1, = args
2022-11-23T01:32:32.5764019Z     args.clear()
2022-11-23T01:32:32.5764232Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5764326Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5764500Z     triton_fused_upsample_nearest2d_backward_10.run(arg0_1, buf0, 180, grid=grid(180), stream=stream0)
2022-11-23T01:32:32.5764715Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5764889Z     triton_fused_upsample_nearest2d_backward1.run(arg0_1, buf1, 162, grid=grid(162), stream=stream0)
2022-11-23T01:32:32.5765097Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5765296Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5765502Z     triton_fused_upsample_nearest2d_backward_3_upsample_nearest2d_backward_22.run(arg0_1, buf2, buf3, 144, grid=grid(144), stream=stream0)
2022-11-23T01:32:32.5765708Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5765902Z     triton_fused_upsample_nearest2d_backward_43.run(arg0_1, buf4, 252, grid=grid(252), stream=stream0)
2022-11-23T01:32:32.5765978Z     del arg0_1
2022-11-23T01:32:32.5766081Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T01:32:32.5766086Z 
2022-11-23T01:32:32.5766091Z 
2022-11-23T01:32:32.5766174Z if __name__ == "__main__":
2022-11-23T01:32:32.5766324Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5766447Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5766665Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5766778Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5767140Z [2022-11-23 01:30:49,545] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l6/cl6ngdw5ohht5qv6yko4edvn27rlwu2oxnaardu2jnlf6dpu43rd.py
2022-11-23T01:32:32.5767405Z [2022-11-23 01:30:49,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 807
2022-11-23T01:32:32.5767411Z 
2022-11-23T01:32:32.5767483Z ok (1.220s)
2022-11-23T01:32:32.5767812Z   test_upsample_nearest2d_cuda (__main__.CudaTests) ... [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5768129Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5768353Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5768600Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5768882Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5769199Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5769542Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5769862Z [2022-11-23 01:30:49,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5770239Z [2022-11-23 01:30:49,551] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969> 
2022-11-23T01:32:32.5770340Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5770464Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5770562Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5770660Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5770750Z                8 LOAD_CONST               2 (76)
2022-11-23T01:32:32.5770845Z               10 BUILD_LIST               2
2022-11-23T01:32:32.5770941Z               12 CALL_METHOD              2
2022-11-23T01:32:32.5770946Z 
2022-11-23T01:32:32.5771046Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5771163Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5771262Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5771357Z               20 LOAD_CONST               3 (70)
2022-11-23T01:32:32.5771444Z               22 LOAD_CONST               4 (75)
2022-11-23T01:32:32.5771538Z               24 BUILD_LIST               2
2022-11-23T01:32:32.5771631Z               26 CALL_METHOD              2
2022-11-23T01:32:32.5771636Z 
2022-11-23T01:32:32.5771735Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5771852Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5771947Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5772042Z               34 LOAD_CONST               5 (45)
2022-11-23T01:32:32.5772164Z               36 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5772254Z               38 BUILD_LIST               2
2022-11-23T01:32:32.5772346Z               40 CALL_METHOD              2
2022-11-23T01:32:32.5772351Z 
2022-11-23T01:32:32.5772464Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5772617Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5772726Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5772820Z               48 LOAD_CONST               6 (36)
2022-11-23T01:32:32.5772914Z               50 LOAD_CONST               7 (39)
2022-11-23T01:32:32.5772998Z               52 BUILD_LIST               2
2022-11-23T01:32:32.5773089Z               54 CALL_METHOD              2
2022-11-23T01:32:32.5773095Z 
2022-11-23T01:32:32.5773195Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5773309Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5773408Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5773507Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5773602Z               64 LOAD_CONST               8 (2.0)
2022-11-23T01:32:32.5773697Z               66 LOAD_CONST               8 (2.0)
2022-11-23T01:32:32.5773785Z               68 BUILD_LIST               2
2022-11-23T01:32:32.5773876Z               70 CALL_METHOD              3
2022-11-23T01:32:32.5773881Z 
2022-11-23T01:32:32.5773973Z 2970          72 BUILD_TUPLE              5
2022-11-23T01:32:32.5774054Z               74 RETURN_VALUE
2022-11-23T01:32:32.5774120Z  
2022-11-23T01:32:32.5774125Z 
2022-11-23T01:32:32.5774447Z [2022-11-23 01:30:49,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971
2022-11-23T01:32:32.5774666Z [2022-11-23 01:30:49,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5774995Z [2022-11-23 01:30:49,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5775265Z [2022-11-23 01:30:49,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5775570Z [2022-11-23 01:30:49,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5775907Z [2022-11-23 01:30:49,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5776278Z [2022-11-23 01:30:49,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5776609Z [2022-11-23 01:30:49,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5776921Z [2022-11-23 01:30:49,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972
2022-11-23T01:32:32.5777167Z [2022-11-23 01:30:49,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5777525Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5777831Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5778158Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5778545Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5779149Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5779573Z [2022-11-23 01:30:49,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5779877Z [2022-11-23 01:30:49,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973
2022-11-23T01:32:32.5780149Z [2022-11-23 01:30:49,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5780527Z [2022-11-23 01:30:49,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5780851Z [2022-11-23 01:30:49,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5781206Z [2022-11-23 01:30:49,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5781594Z [2022-11-23 01:30:49,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5782025Z [2022-11-23 01:30:49,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5782413Z [2022-11-23 01:30:49,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5782728Z [2022-11-23 01:30:49,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974
2022-11-23T01:32:32.5783037Z [2022-11-23 01:30:49,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5783449Z [2022-11-23 01:30:49,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5783805Z [2022-11-23 01:30:49,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5784192Z [2022-11-23 01:30:49,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5784601Z [2022-11-23 01:30:49,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5785055Z [2022-11-23 01:30:49,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5785461Z [2022-11-23 01:30:49,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5785811Z [2022-11-23 01:30:49,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975
2022-11-23T01:32:32.5786143Z [2022-11-23 01:30:49,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5786606Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5786989Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5787409Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5787865Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5788366Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:32.5788896Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5789384Z [2022-11-23 01:30:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5789700Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970
2022-11-23T01:32:32.5790052Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5790394Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5790779Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969>
2022-11-23T01:32:32.5791023Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5791262Z [2022-11-23 01:30:49,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5791520Z [2022-11-23 01:30:49,585] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5791779Z [2022-11-23 01:30:49,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5791969Z [2022-11-23 01:30:49,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5792113Z  __compiled_fn_826 <eval_with_key>.5076 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5792209Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5792364Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T01:32:32.5792521Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T01:32:32.5792690Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T01:32:32.5792838Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T01:32:32.5793000Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T01:32:32.5793249Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T01:32:32.5793255Z 
2022-11-23T01:32:32.5793583Z [2022-11-23 01:30:49,589] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5793684Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5793781Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5793874Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5793968Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5794064Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5794159Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5794241Z              12 RETURN_VALUE
2022-11-23T01:32:32.5794246Z 
2022-11-23T01:32:32.5794312Z  
2022-11-23T01:32:32.5794636Z [2022-11-23 01:30:49,590] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5794756Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_826)
2022-11-23T01:32:32.5794853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5794942Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5795025Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5795118Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5795227Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5795337Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5795436Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5795519Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5795620Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5795719Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5795803Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5795909Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5796004Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5796086Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5796194Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5796282Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5796363Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5796471Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5796565Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5796647Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5796747Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5796828Z              44 RETURN_VALUE
2022-11-23T01:32:32.5796833Z 
2022-11-23T01:32:32.5796898Z  
2022-11-23T01:32:32.5797080Z [2022-11-23 01:30:49,590] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5797155Z  - 
2022-11-23T01:32:32.5797283Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5797351Z             {
2022-11-23T01:32:32.5797498Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5797691Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5797815Z                 'obj_weakref': None
2022-11-23T01:32:32.5798037Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5798107Z             }
2022-11-23T01:32:32.5798174Z             
2022-11-23T01:32:32.5798251Z  - 
2022-11-23T01:32:32.5798380Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5798451Z             {
2022-11-23T01:32:32.5798633Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5798748Z                 'code': None,
2022-11-23T01:32:32.5798965Z                 'obj_weakref': <weakref at 0x7f1f25c218a0; to 'Tensor' at 0x7f1f25f20040>
2022-11-23T01:32:32.5799218Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5799309Z             }
2022-11-23T01:32:32.5799377Z             
2022-11-23T01:32:32.5799455Z  - 
2022-11-23T01:32:32.5799590Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5799651Z             {
2022-11-23T01:32:32.5799792Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5799967Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5800092Z                 'obj_weakref': None
2022-11-23T01:32:32.5800327Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5800397Z             }
2022-11-23T01:32:32.5800466Z             
2022-11-23T01:32:32.5800535Z  - 
2022-11-23T01:32:32.5800663Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5800730Z             {
2022-11-23T01:32:32.5800872Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5801094Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5801218Z                 'obj_weakref': None
2022-11-23T01:32:32.5801444Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5801505Z             }
2022-11-23T01:32:32.5801574Z             
2022-11-23T01:32:32.5801649Z  - 
2022-11-23T01:32:32.5801788Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5801857Z             {
2022-11-23T01:32:32.5801981Z                 'guard_types': None,
2022-11-23T01:32:32.5802086Z                 'code': None,
2022-11-23T01:32:32.5802208Z                 'obj_weakref': None
2022-11-23T01:32:32.5802339Z                 'guarded_class': None
2022-11-23T01:32:32.5802408Z             }
2022-11-23T01:32:32.5802477Z             
2022-11-23T01:32:32.5802769Z [2022-11-23 01:30:49,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 808
2022-11-23T01:32:32.5803090Z [2022-11-23 01:30:49,658] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5803338Z [2022-11-23 01:30:49,835] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5803578Z [2022-11-23 01:30:49,841] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5803825Z [2022-11-23 01:30:49,846] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5804193Z [2022-11-23 01:30:49,958] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3v/c3vgo3a2umwgp5mekr3yzhqdiedzyhacqdqayjmknetlv5zfnnpu.py
2022-11-23T01:32:32.5804464Z [2022-11-23 01:30:49,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 808
2022-11-23T01:32:32.5804706Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5805026Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5805249Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5805506Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5805788Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5806139Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5806481Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5806806Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5807209Z [2022-11-23 01:30:49,962] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969> 
2022-11-23T01:32:32.5807312Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5807435Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5807532Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5807632Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5807731Z                8 LOAD_CONST               2 (76)
2022-11-23T01:32:32.5807820Z               10 BUILD_LIST               2
2022-11-23T01:32:32.5807914Z               12 CALL_METHOD              2
2022-11-23T01:32:32.5807920Z 
2022-11-23T01:32:32.5808019Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5808139Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5808236Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5808332Z               20 LOAD_CONST               3 (70)
2022-11-23T01:32:32.5808426Z               22 LOAD_CONST               4 (75)
2022-11-23T01:32:32.5808520Z               24 BUILD_LIST               2
2022-11-23T01:32:32.5808605Z               26 CALL_METHOD              2
2022-11-23T01:32:32.5808610Z 
2022-11-23T01:32:32.5808709Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5808826Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5808921Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5809020Z               34 LOAD_CONST               5 (45)
2022-11-23T01:32:32.5809114Z               36 LOAD_CONST               1 (74)
2022-11-23T01:32:32.5809207Z               38 BUILD_LIST               2
2022-11-23T01:32:32.5809292Z               40 CALL_METHOD              2
2022-11-23T01:32:32.5809308Z 
2022-11-23T01:32:32.5809398Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5809514Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5809608Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5809703Z               48 LOAD_CONST               6 (36)
2022-11-23T01:32:32.5809798Z               50 LOAD_CONST               7 (39)
2022-11-23T01:32:32.5809890Z               52 BUILD_LIST               2
2022-11-23T01:32:32.5809982Z               54 CALL_METHOD              2
2022-11-23T01:32:32.5809987Z 
2022-11-23T01:32:32.5810077Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5810192Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:32.5810287Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5810387Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5810483Z               64 LOAD_CONST               8 (2.0)
2022-11-23T01:32:32.5810582Z               66 LOAD_CONST               8 (2.0)
2022-11-23T01:32:32.5810674Z               68 BUILD_LIST               2
2022-11-23T01:32:32.5810767Z               70 CALL_METHOD              3
2022-11-23T01:32:32.5810772Z 
2022-11-23T01:32:32.5810857Z 2970          72 BUILD_TUPLE              5
2022-11-23T01:32:32.5810938Z               74 RETURN_VALUE
2022-11-23T01:32:32.5811003Z  
2022-11-23T01:32:32.5811008Z 
2022-11-23T01:32:32.5811326Z [2022-11-23 01:30:49,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971
2022-11-23T01:32:32.5811575Z [2022-11-23 01:30:49,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5811903Z [2022-11-23 01:30:49,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5812177Z [2022-11-23 01:30:49,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5812536Z [2022-11-23 01:30:49,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5812892Z [2022-11-23 01:30:49,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5813260Z [2022-11-23 01:30:49,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5813592Z [2022-11-23 01:30:49,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5813901Z [2022-11-23 01:30:49,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972
2022-11-23T01:32:32.5814154Z [2022-11-23 01:30:49,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5814510Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5814816Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5815148Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5815514Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5815920Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5816278Z [2022-11-23 01:30:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5816594Z [2022-11-23 01:30:49,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973
2022-11-23T01:32:32.5816870Z [2022-11-23 01:30:49,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5817246Z [2022-11-23 01:30:49,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5817575Z [2022-11-23 01:30:49,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5817935Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5818328Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5818964Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5819361Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5819715Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974
2022-11-23T01:32:32.5820021Z [2022-11-23 01:30:49,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5820429Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5820791Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5821178Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5821601Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.5822057Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.5822470Z [2022-11-23 01:30:49,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5822786Z [2022-11-23 01:30:49,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975
2022-11-23T01:32:32.5823107Z [2022-11-23 01:30:49,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5823545Z [2022-11-23 01:30:49,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5823932Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:32.5824343Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:32.5824790Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5825276Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:32.5825804Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:32.5826313Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5826652Z [2022-11-23 01:30:49,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970
2022-11-23T01:32:32.5827004Z [2022-11-23 01:30:49,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5827257Z [2022-11-23 01:30:49,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5827636Z [2022-11-23 01:30:49,996] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eafe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969>
2022-11-23T01:32:32.5827881Z [2022-11-23 01:30:49,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5828115Z [2022-11-23 01:30:49,996] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5828376Z [2022-11-23 01:30:49,997] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5828623Z [2022-11-23 01:30:50,001] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5828817Z [2022-11-23 01:30:50,001] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5828959Z  __compiled_fn_827 <eval_with_key>.5082 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5829056Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5829210Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T01:32:32.5829368Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T01:32:32.5829517Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T01:32:32.5829662Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T01:32:32.5829818Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T01:32:32.5830042Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T01:32:32.5830048Z 
2022-11-23T01:32:32.5830471Z [2022-11-23 01:30:50,001] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5830576Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5830673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5830766Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5830868Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5830960Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5831048Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5831130Z              12 RETURN_VALUE
2022-11-23T01:32:32.5831135Z 
2022-11-23T01:32:32.5831204Z  
2022-11-23T01:32:32.5831530Z [2022-11-23 01:30:50,001] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5831648Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_827)
2022-11-23T01:32:32.5831744Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5831842Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5831924Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5832011Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5832122Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5832264Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5832365Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5832448Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5832557Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5832654Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5832751Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5832858Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5832955Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5833037Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5833145Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5833240Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5833321Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5833420Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5833514Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5833598Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5833695Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5833777Z              44 RETURN_VALUE
2022-11-23T01:32:32.5833782Z 
2022-11-23T01:32:32.5833847Z  
2022-11-23T01:32:32.5834034Z [2022-11-23 01:30:50,002] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5834108Z  - 
2022-11-23T01:32:32.5834231Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5834303Z             {
2022-11-23T01:32:32.5834447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5834638Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5834767Z                 'obj_weakref': None
2022-11-23T01:32:32.5834994Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5835056Z             }
2022-11-23T01:32:32.5835125Z             
2022-11-23T01:32:32.5835202Z  - 
2022-11-23T01:32:32.5835332Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5835405Z             {
2022-11-23T01:32:32.5835552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5835663Z                 'code': None,
2022-11-23T01:32:32.5835869Z                 'obj_weakref': <weakref at 0x7f1f259ca750; to 'Tensor' at 0x7f2022f11300>
2022-11-23T01:32:32.5836120Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5836192Z             }
2022-11-23T01:32:32.5836262Z             
2022-11-23T01:32:32.5836338Z  - 
2022-11-23T01:32:32.5836474Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5836544Z             {
2022-11-23T01:32:32.5836678Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5836852Z                 'code': ['___check_obj_id(model, 139774882124640)'],
2022-11-23T01:32:32.5836977Z                 'obj_weakref': None
2022-11-23T01:32:32.5837207Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5837277Z             }
2022-11-23T01:32:32.5837343Z             
2022-11-23T01:32:32.5837418Z  - 
2022-11-23T01:32:32.5837539Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5837610Z             {
2022-11-23T01:32:32.5837753Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5837976Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5838099Z                 'obj_weakref': None
2022-11-23T01:32:32.5838323Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5838391Z             }
2022-11-23T01:32:32.5838452Z             
2022-11-23T01:32:32.5838527Z  - 
2022-11-23T01:32:32.5838663Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5838733Z             {
2022-11-23T01:32:32.5838858Z                 'guard_types': None,
2022-11-23T01:32:32.5838973Z                 'code': None,
2022-11-23T01:32:32.5839128Z                 'obj_weakref': None
2022-11-23T01:32:32.5839248Z                 'guarded_class': None
2022-11-23T01:32:32.5839318Z             }
2022-11-23T01:32:32.5839388Z             
2022-11-23T01:32:32.5839653Z [2022-11-23 01:30:50,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 809
2022-11-23T01:32:32.5839968Z [2022-11-23 01:30:50,038] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5840216Z [2022-11-23 01:30:50,041] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5840466Z [2022-11-23 01:30:50,044] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5840713Z [2022-11-23 01:30:50,048] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5840719Z 
2022-11-23T01:32:32.5840812Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5840889Z import torch
2022-11-23T01:32:32.5840964Z import random
2022-11-23T01:32:32.5841086Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5841213Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5841219Z 
2022-11-23T01:32:32.5841302Z aten = torch.ops.aten
2022-11-23T01:32:32.5841444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5841542Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5841547Z 
2022-11-23T01:32:32.5841614Z import triton
2022-11-23T01:32:32.5841706Z import triton.language as tl
2022-11-23T01:32:32.5841834Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5841980Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5841986Z 
2022-11-23T01:32:32.5841990Z 
2022-11-23T01:32:32.5842213Z triton_fused_upsample_nearest2d_upsample_nearest2d_40 = async_compile.triton('''
2022-11-23T01:32:32.5842290Z import triton
2022-11-23T01:32:32.5842382Z import triton.language as tl
2022-11-23T01:32:32.5842494Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5842603Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5842739Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5842870Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5842879Z 
2022-11-23T01:32:32.5843323Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5843398Z @triton.jit
2022-11-23T01:32:32.5843545Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5843621Z     xnumel = 44992
2022-11-23T01:32:32.5843713Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5843846Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5843931Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5844015Z     x1 = (xindex // 76) % 74
2022-11-23T01:32:32.5844091Z     x0 = xindex % 76
2022-11-23T01:32:32.5844172Z     x2 = (xindex // 5624)
2022-11-23T01:32:32.5844243Z     x4 = xindex
2022-11-23T01:32:32.5844308Z     tmp0 = x1
2022-11-23T01:32:32.5844382Z     tmp1 = 0.5
2022-11-23T01:32:32.5844464Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5844551Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5844622Z     tmp4 = x0
2022-11-23T01:32:32.5844700Z     tmp5 = tmp4 * tmp1
2022-11-23T01:32:32.5844786Z     tmp6 = tmp5.to(tl.int32)
2022-11-23T01:32:32.5844934Z     tmp7 = tl.load(in_ptr0 + (tmp6 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5845075Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.5845209Z     tl.store(out_ptr1 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.5845296Z ''')
2022-11-23T01:32:32.5845301Z 
2022-11-23T01:32:32.5845306Z 
2022-11-23T01:32:32.5845531Z triton_fused_upsample_nearest2d_11 = async_compile.triton('''
2022-11-23T01:32:32.5845608Z import triton
2022-11-23T01:32:32.5845702Z import triton.language as tl
2022-11-23T01:32:32.5845819Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5845914Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5846072Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5846198Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5846204Z 
2022-11-23T01:32:32.5846578Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5846651Z @triton.jit
2022-11-23T01:32:32.5846786Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5846861Z     xnumel = 42000
2022-11-23T01:32:32.5846962Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5847090Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5847174Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5847256Z     x1 = (xindex // 75) % 70
2022-11-23T01:32:32.5847332Z     x0 = xindex % 75
2022-11-23T01:32:32.5847412Z     x2 = (xindex // 5250)
2022-11-23T01:32:32.5847487Z     x4 = xindex
2022-11-23T01:32:32.5847551Z     tmp0 = x1
2022-11-23T01:32:32.5847629Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5847708Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5847793Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5847864Z     tmp4 = x0
2022-11-23T01:32:32.5847943Z     tmp5 = 0.5066666666666667
2022-11-23T01:32:32.5848021Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5848098Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5848253Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5848389Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5848477Z ''')
2022-11-23T01:32:32.5848483Z 
2022-11-23T01:32:32.5848490Z 
2022-11-23T01:32:32.5848677Z triton_fused_upsample_nearest2d_22 = async_compile.triton('''
2022-11-23T01:32:32.5848752Z import triton
2022-11-23T01:32:32.5848845Z import triton.language as tl
2022-11-23T01:32:32.5848960Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5849059Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5849197Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5849324Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5849329Z 
2022-11-23T01:32:32.5849703Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5849777Z @triton.jit
2022-11-23T01:32:32.5849910Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5849985Z     xnumel = 26640
2022-11-23T01:32:32.5850085Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5850210Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5850294Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5850376Z     x1 = (xindex // 74) % 45
2022-11-23T01:32:32.5850451Z     x0 = xindex % 74
2022-11-23T01:32:32.5850534Z     x2 = (xindex // 3330)
2022-11-23T01:32:32.5850604Z     x4 = xindex
2022-11-23T01:32:32.5850668Z     tmp0 = x1
2022-11-23T01:32:32.5850747Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5850825Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5850910Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5850982Z     tmp4 = x0
2022-11-23T01:32:32.5851061Z     tmp5 = 0.5135135135135135
2022-11-23T01:32:32.5851140Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5851217Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5851370Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5851534Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5851622Z ''')
2022-11-23T01:32:32.5851628Z 
2022-11-23T01:32:32.5851632Z 
2022-11-23T01:32:32.5851819Z triton_fused_upsample_nearest2d_33 = async_compile.triton('''
2022-11-23T01:32:32.5851894Z import triton
2022-11-23T01:32:32.5852008Z import triton.language as tl
2022-11-23T01:32:32.5852123Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5852218Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5852351Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5852479Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5852484Z 
2022-11-23T01:32:32.5852897Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5852985Z @triton.jit
2022-11-23T01:32:32.5853118Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5853197Z     xnumel = 11232
2022-11-23T01:32:32.5853296Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5853420Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5853503Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5853588Z     x1 = (xindex // 39) % 36
2022-11-23T01:32:32.5853664Z     x0 = xindex % 39
2022-11-23T01:32:32.5853743Z     x2 = (xindex // 1404)
2022-11-23T01:32:32.5853816Z     x4 = xindex
2022-11-23T01:32:32.5853886Z     tmp0 = x1
2022-11-23T01:32:32.5853958Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5854037Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5854124Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5854195Z     tmp4 = x0
2022-11-23T01:32:32.5854273Z     tmp5 = 0.9743589743589743
2022-11-23T01:32:32.5854350Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5854428Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5854584Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5854720Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5854808Z ''')
2022-11-23T01:32:32.5854813Z 
2022-11-23T01:32:32.5854818Z 
2022-11-23T01:32:32.5854911Z async_compile.wait(globals())
2022-11-23T01:32:32.5854991Z del async_compile
2022-11-23T01:32:32.5854996Z 
2022-11-23T01:32:32.5855072Z def call(args):
2022-11-23T01:32:32.5855149Z     arg0_1, = args
2022-11-23T01:32:32.5855217Z     args.clear()
2022-11-23T01:32:32.5855439Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5855656Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5855747Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5855935Z     triton_fused_upsample_nearest2d_upsample_nearest2d_40.run(arg0_1, buf0, buf4, 44992, grid=grid(44992), stream=stream0)
2022-11-23T01:32:32.5856162Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5856320Z     triton_fused_upsample_nearest2d_11.run(arg0_1, buf1, 42000, grid=grid(42000), stream=stream0)
2022-11-23T01:32:32.5856538Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5856691Z     triton_fused_upsample_nearest2d_22.run(arg0_1, buf2, 26640, grid=grid(26640), stream=stream0)
2022-11-23T01:32:32.5856910Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5857068Z     triton_fused_upsample_nearest2d_33.run(arg0_1, buf3, 11232, grid=grid(11232), stream=stream0)
2022-11-23T01:32:32.5857142Z     del arg0_1
2022-11-23T01:32:32.5857244Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5857249Z 
2022-11-23T01:32:32.5857253Z 
2022-11-23T01:32:32.5857334Z if __name__ == "__main__":
2022-11-23T01:32:32.5857459Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5857621Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5857837Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5857949Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5857977Z 
2022-11-23T01:32:32.5858350Z [2022-11-23 01:30:50,159] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gz/cgzzhgap77nwm2liozqzpbz4tdvtwtjrbwylhzksuzlrybyi2dcx.py
2022-11-23T01:32:32.5858620Z [2022-11-23 01:30:50,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 809
2022-11-23T01:32:32.5858626Z 
2022-11-23T01:32:32.5858730Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5858986Z import torch
2022-11-23T01:32:32.5859066Z import random
2022-11-23T01:32:32.5859188Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5859313Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5859319Z 
2022-11-23T01:32:32.5859397Z aten = torch.ops.aten
2022-11-23T01:32:32.5859537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5859633Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5859638Z 
2022-11-23T01:32:32.5859712Z import triton
2022-11-23T01:32:32.5859805Z import triton.language as tl
2022-11-23T01:32:32.5859938Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5860079Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5860085Z 
2022-11-23T01:32:32.5860090Z 
2022-11-23T01:32:32.5860314Z triton_fused_upsample_nearest2d_upsample_nearest2d_40 = async_compile.triton('''
2022-11-23T01:32:32.5860382Z import triton
2022-11-23T01:32:32.5860474Z import triton.language as tl
2022-11-23T01:32:32.5860589Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5860690Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5860825Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5860955Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5860960Z 
2022-11-23T01:32:32.5861347Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5861422Z @triton.jit
2022-11-23T01:32:32.5861559Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5861635Z     xnumel = 44992
2022-11-23T01:32:32.5861732Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5861863Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5861949Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5862031Z     x1 = (xindex // 76) % 74
2022-11-23T01:32:32.5862107Z     x0 = xindex % 76
2022-11-23T01:32:32.5862180Z     x2 = (xindex // 5624)
2022-11-23T01:32:32.5862260Z     x4 = xindex
2022-11-23T01:32:32.5862347Z     tmp0 = x1
2022-11-23T01:32:32.5862429Z     tmp1 = 0.5
2022-11-23T01:32:32.5862528Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5862614Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5862677Z     tmp4 = x0
2022-11-23T01:32:32.5862756Z     tmp5 = tmp4 * tmp1
2022-11-23T01:32:32.5862841Z     tmp6 = tmp5.to(tl.int32)
2022-11-23T01:32:32.5863010Z     tmp7 = tl.load(in_ptr0 + (tmp6 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5863148Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.5863283Z     tl.store(out_ptr1 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp7, xmask)
2022-11-23T01:32:32.5863370Z ''')
2022-11-23T01:32:32.5863375Z 
2022-11-23T01:32:32.5863380Z 
2022-11-23T01:32:32.5863565Z triton_fused_upsample_nearest2d_11 = async_compile.triton('''
2022-11-23T01:32:32.5863632Z import triton
2022-11-23T01:32:32.5863725Z import triton.language as tl
2022-11-23T01:32:32.5863841Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5863994Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5864135Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5864262Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5864267Z 
2022-11-23T01:32:32.5864644Z @pointwise(size_hints=[65536], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5864744Z @triton.jit
2022-11-23T01:32:32.5864871Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5864949Z     xnumel = 42000
2022-11-23T01:32:32.5865047Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5865178Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5865267Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5865348Z     x1 = (xindex // 75) % 70
2022-11-23T01:32:32.5865423Z     x0 = xindex % 75
2022-11-23T01:32:32.5865499Z     x2 = (xindex // 5250)
2022-11-23T01:32:32.5865569Z     x4 = xindex
2022-11-23T01:32:32.5865640Z     tmp0 = x1
2022-11-23T01:32:32.5865718Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5865796Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5865882Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5865955Z     tmp4 = x0
2022-11-23T01:32:32.5866026Z     tmp5 = 0.5066666666666667
2022-11-23T01:32:32.5866106Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5866191Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5866361Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5866494Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5866581Z ''')
2022-11-23T01:32:32.5866586Z 
2022-11-23T01:32:32.5866591Z 
2022-11-23T01:32:32.5866776Z triton_fused_upsample_nearest2d_22 = async_compile.triton('''
2022-11-23T01:32:32.5866843Z import triton
2022-11-23T01:32:32.5866937Z import triton.language as tl
2022-11-23T01:32:32.5867056Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5867159Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5867295Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5867422Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5867431Z 
2022-11-23T01:32:32.5867806Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5867879Z @triton.jit
2022-11-23T01:32:32.5868002Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5868078Z     xnumel = 26640
2022-11-23T01:32:32.5868177Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5868306Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5868389Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5868473Z     x1 = (xindex // 74) % 45
2022-11-23T01:32:32.5868549Z     x0 = xindex % 74
2022-11-23T01:32:32.5868622Z     x2 = (xindex // 3330)
2022-11-23T01:32:32.5868694Z     x4 = xindex
2022-11-23T01:32:32.5868765Z     tmp0 = x1
2022-11-23T01:32:32.5868844Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5868928Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5869012Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5869082Z     tmp4 = x0
2022-11-23T01:32:32.5869153Z     tmp5 = 0.5135135135135135
2022-11-23T01:32:32.5869233Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5869317Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5869483Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5869616Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5869702Z ''')
2022-11-23T01:32:32.5869707Z 
2022-11-23T01:32:32.5869712Z 
2022-11-23T01:32:32.5869896Z triton_fused_upsample_nearest2d_33 = async_compile.triton('''
2022-11-23T01:32:32.5870009Z import triton
2022-11-23T01:32:32.5870096Z import triton.language as tl
2022-11-23T01:32:32.5870210Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5870386Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5870540Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5870715Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5870721Z 
2022-11-23T01:32:32.5871128Z @pointwise(size_hints=[16384], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5871201Z @triton.jit
2022-11-23T01:32:32.5871324Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5871401Z     xnumel = 11232
2022-11-23T01:32:32.5871499Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5871629Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5871715Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5871797Z     x1 = (xindex // 39) % 36
2022-11-23T01:32:32.5871876Z     x0 = xindex % 39
2022-11-23T01:32:32.5871948Z     x2 = (xindex // 1404)
2022-11-23T01:32:32.5872019Z     x4 = xindex
2022-11-23T01:32:32.5872096Z     tmp0 = x1
2022-11-23T01:32:32.5872176Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5872255Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5872339Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5872409Z     tmp4 = x0
2022-11-23T01:32:32.5872480Z     tmp5 = 0.9743589743589743
2022-11-23T01:32:32.5872558Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5872643Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5872808Z     tmp8 = tl.load(in_ptr0 + (tmp7 + (38*tmp3) + (1406*x2) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5872941Z     tl.store(out_ptr0 + (x4 + tl.zeros([XBLOCK], tl.int32)), tmp8, xmask)
2022-11-23T01:32:32.5873027Z ''')
2022-11-23T01:32:32.5873032Z 
2022-11-23T01:32:32.5873037Z 
2022-11-23T01:32:32.5873133Z async_compile.wait(globals())
2022-11-23T01:32:32.5873210Z del async_compile
2022-11-23T01:32:32.5873215Z 
2022-11-23T01:32:32.5873283Z def call(args):
2022-11-23T01:32:32.5873356Z     arg0_1, = args
2022-11-23T01:32:32.5873430Z     args.clear()
2022-11-23T01:32:32.5873657Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5873875Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5873967Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5874156Z     triton_fused_upsample_nearest2d_upsample_nearest2d_40.run(arg0_1, buf0, buf4, 44992, grid=grid(44992), stream=stream0)
2022-11-23T01:32:32.5874374Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5874531Z     triton_fused_upsample_nearest2d_11.run(arg0_1, buf1, 42000, grid=grid(42000), stream=stream0)
2022-11-23T01:32:32.5874752Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5874907Z     triton_fused_upsample_nearest2d_22.run(arg0_1, buf2, 26640, grid=grid(26640), stream=stream0)
2022-11-23T01:32:32.5875129Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5875288Z     triton_fused_upsample_nearest2d_33.run(arg0_1, buf3, 11232, grid=grid(11232), stream=stream0)
2022-11-23T01:32:32.5875360Z     del arg0_1
2022-11-23T01:32:32.5875463Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5875468Z 
2022-11-23T01:32:32.5875473Z 
2022-11-23T01:32:32.5875554Z if __name__ == "__main__":
2022-11-23T01:32:32.5875665Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5875793Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5876014Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5876160Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5876166Z 
2022-11-23T01:32:32.5876239Z ok (0.615s)
2022-11-23T01:32:32.5876571Z   test_upsample_nearest3d_cuda (__main__.CudaTests) ... [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5876913Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5877137Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5877398Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5877670Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5877993Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5878337Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5878662Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5879037Z [2022-11-23 01:30:50,168] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981> 
2022-11-23T01:32:32.5879138Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5879259Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5879358Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5879454Z                6 BUILD_LIST               0
2022-11-23T01:32:32.5879555Z                8 LOAD_CONST               1 ((74, 76, 78))
2022-11-23T01:32:32.5879650Z               10 LIST_EXTEND              1
2022-11-23T01:32:32.5879749Z               12 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5879842Z               14 CALL_METHOD              3
2022-11-23T01:32:32.5879852Z 
2022-11-23T01:32:32.5879950Z 2984          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5880069Z               18 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5880167Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5880260Z               22 BUILD_LIST               0
2022-11-23T01:32:32.5880357Z               24 LOAD_CONST               2 ((70, 75, 80))
2022-11-23T01:32:32.5880449Z               26 LIST_EXTEND              1
2022-11-23T01:32:32.5880545Z               28 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5880638Z               30 CALL_METHOD              3
2022-11-23T01:32:32.5880643Z 
2022-11-23T01:32:32.5880744Z 2985          32 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5880861Z               34 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5880961Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5881046Z               38 BUILD_LIST               0
2022-11-23T01:32:32.5881155Z               40 LOAD_CONST               3 ((45, 74, 103))
2022-11-23T01:32:32.5881246Z               42 LIST_EXTEND              1
2022-11-23T01:32:32.5881341Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5881432Z               46 CALL_METHOD              3
2022-11-23T01:32:32.5881437Z 
2022-11-23T01:32:32.5881533Z 2986          48 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5881649Z               50 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5881744Z               52 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5881829Z               54 BUILD_LIST               0
2022-11-23T01:32:32.5881977Z               56 LOAD_CONST               4 ((36, 39, 40))
2022-11-23T01:32:32.5882070Z               58 LIST_EXTEND              1
2022-11-23T01:32:32.5882166Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5882258Z               62 CALL_METHOD              3
2022-11-23T01:32:32.5882263Z 
2022-11-23T01:32:32.5882387Z 2987          64 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5882503Z               66 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5882591Z               68 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5882686Z               70 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5882777Z               72 BUILD_LIST               0
2022-11-23T01:32:32.5882904Z               74 LOAD_CONST               5 ((2.0, 2.0, 2.0))
2022-11-23T01:32:32.5883003Z               76 LIST_EXTEND              1
2022-11-23T01:32:32.5883118Z               78 CALL_METHOD              3
2022-11-23T01:32:32.5883124Z 
2022-11-23T01:32:32.5883215Z 2982          80 BUILD_TUPLE              5
2022-11-23T01:32:32.5883302Z               82 RETURN_VALUE
2022-11-23T01:32:32.5883361Z  
2022-11-23T01:32:32.5883366Z 
2022-11-23T01:32:32.5883682Z [2022-11-23 01:30:50,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983
2022-11-23T01:32:32.5883909Z [2022-11-23 01:30:50,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5884242Z [2022-11-23 01:30:50,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5884521Z [2022-11-23 01:30:50,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5884824Z [2022-11-23 01:30:50,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5885164Z [2022-11-23 01:30:50,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5885534Z [2022-11-23 01:30:50,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5885870Z [2022-11-23 01:30:50,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5886244Z [2022-11-23 01:30:50,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5886558Z [2022-11-23 01:30:50,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984
2022-11-23T01:32:32.5886802Z [2022-11-23 01:30:50,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5887157Z [2022-11-23 01:30:50,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5887463Z [2022-11-23 01:30:50,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5887796Z [2022-11-23 01:30:50,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5888161Z [2022-11-23 01:30:50,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5888596Z [2022-11-23 01:30:50,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5888955Z [2022-11-23 01:30:50,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5889357Z [2022-11-23 01:30:50,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5889692Z [2022-11-23 01:30:50,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985
2022-11-23T01:32:32.5889966Z [2022-11-23 01:30:50,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5890349Z [2022-11-23 01:30:50,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5890680Z [2022-11-23 01:30:50,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5891030Z [2022-11-23 01:30:50,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5891425Z [2022-11-23 01:30:50,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5891847Z [2022-11-23 01:30:50,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5892231Z [2022-11-23 01:30:50,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5892663Z [2022-11-23 01:30:50,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5893011Z [2022-11-23 01:30:50,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986
2022-11-23T01:32:32.5893333Z [2022-11-23 01:30:50,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5893744Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5894103Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5894478Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5894890Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5895336Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5895767Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5896217Z [2022-11-23 01:30:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5896548Z [2022-11-23 01:30:50,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987
2022-11-23T01:32:32.5896860Z [2022-11-23 01:30:50,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5897287Z [2022-11-23 01:30:50,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5897667Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5898076Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5898525Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5899201Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5899718Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5900195Z [2022-11-23 01:30:50,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5900506Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982
2022-11-23T01:32:32.5900856Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5901109Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5901487Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981>
2022-11-23T01:32:32.5901739Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5901979Z [2022-11-23 01:30:50,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5902240Z [2022-11-23 01:30:50,205] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5902490Z [2022-11-23 01:30:50,209] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5902683Z [2022-11-23 01:30:50,209] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5902878Z  __compiled_fn_828 <eval_with_key>.5088 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5902976Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5903139Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T01:32:32.5903326Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T01:32:32.5903486Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T01:32:32.5903647Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T01:32:32.5903804Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T01:32:32.5904023Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T01:32:32.5904029Z 
2022-11-23T01:32:32.5904362Z [2022-11-23 01:30:50,210] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5904463Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5904560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5904658Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5904758Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5904850Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5904946Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5905020Z              12 RETURN_VALUE
2022-11-23T01:32:32.5905025Z 
2022-11-23T01:32:32.5905090Z  
2022-11-23T01:32:32.5905416Z [2022-11-23 01:30:50,210] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5905532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_828)
2022-11-23T01:32:32.5905634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5905735Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5905816Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5905902Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5906012Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5906126Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5906228Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5906309Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5906418Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5906514Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5906588Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5906695Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5906790Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5906871Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5906981Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5907075Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5907156Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5907263Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5907353Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5907434Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5907528Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5907607Z              44 RETURN_VALUE
2022-11-23T01:32:32.5907612Z 
2022-11-23T01:32:32.5907677Z  
2022-11-23T01:32:32.5907865Z [2022-11-23 01:30:50,210] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5907943Z  - 
2022-11-23T01:32:32.5908062Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5908131Z             {
2022-11-23T01:32:32.5908276Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5908498Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5908626Z                 'obj_weakref': None
2022-11-23T01:32:32.5908856Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5908927Z             }
2022-11-23T01:32:32.5909020Z             
2022-11-23T01:32:32.5909098Z  - 
2022-11-23T01:32:32.5909229Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5909299Z             {
2022-11-23T01:32:32.5909446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5909560Z                 'code': None,
2022-11-23T01:32:32.5909773Z                 'obj_weakref': <weakref at 0x7f1f25a4f330; to 'Tensor' at 0x7f1f25942ed0>
2022-11-23T01:32:32.5910016Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5910086Z             }
2022-11-23T01:32:32.5910158Z             
2022-11-23T01:32:32.5910234Z  - 
2022-11-23T01:32:32.5910462Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5910531Z             {
2022-11-23T01:32:32.5910673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5910840Z                 'code': ['___check_obj_id(model, 139771751797888)'],
2022-11-23T01:32:32.5910967Z                 'obj_weakref': None
2022-11-23T01:32:32.5911198Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5911266Z             }
2022-11-23T01:32:32.5911334Z             
2022-11-23T01:32:32.5911409Z  - 
2022-11-23T01:32:32.5911536Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5911597Z             {
2022-11-23T01:32:32.5911739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5911958Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5912081Z                 'obj_weakref': None
2022-11-23T01:32:32.5912305Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5912373Z             }
2022-11-23T01:32:32.5912441Z             
2022-11-23T01:32:32.5912509Z  - 
2022-11-23T01:32:32.5912647Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5912715Z             {
2022-11-23T01:32:32.5912843Z                 'guard_types': None,
2022-11-23T01:32:32.5912958Z                 'code': None,
2022-11-23T01:32:32.5913080Z                 'obj_weakref': None
2022-11-23T01:32:32.5913198Z                 'guarded_class': None
2022-11-23T01:32:32.5913268Z             }
2022-11-23T01:32:32.5913336Z             
2022-11-23T01:32:32.5913601Z [2022-11-23 01:30:50,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 810
2022-11-23T01:32:32.5913898Z [2022-11-23 01:30:50,300] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5914146Z [2022-11-23 01:30:50,309] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5914395Z [2022-11-23 01:30:50,317] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5914641Z [2022-11-23 01:30:50,324] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5915013Z [2022-11-23 01:30:50,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rz/crzcuh46yqqyx6ntennsunfgcuttcyukw4krl7m2ha46ffhtruvj.py
2022-11-23T01:32:32.5915273Z [2022-11-23 01:30:50,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 810
2022-11-23T01:32:32.5915510Z [2022-11-23 01:30:50,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.5915829Z [2022-11-23 01:30:50,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.5922512Z [2022-11-23 01:30:50,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.5922822Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.5923158Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.5923505Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5923853Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5924178Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.5924555Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981> 
2022-11-23T01:32:32.5924653Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5924778Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5924881Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5924987Z                6 BUILD_LIST               0
2022-11-23T01:32:32.5925094Z                8 LOAD_CONST               1 ((74, 76, 78))
2022-11-23T01:32:32.5925191Z               10 LIST_EXTEND              1
2022-11-23T01:32:32.5925291Z               12 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5925386Z               14 CALL_METHOD              3
2022-11-23T01:32:32.5925391Z 
2022-11-23T01:32:32.5925484Z 2984          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5925604Z               18 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5925705Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5925803Z               22 BUILD_LIST               0
2022-11-23T01:32:32.5925907Z               24 LOAD_CONST               2 ((70, 75, 80))
2022-11-23T01:32:32.5926004Z               26 LIST_EXTEND              1
2022-11-23T01:32:32.5926102Z               28 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5926191Z               30 CALL_METHOD              3
2022-11-23T01:32:32.5926196Z 
2022-11-23T01:32:32.5926294Z 2985          32 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5926412Z               34 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5926509Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5926602Z               38 BUILD_LIST               0
2022-11-23T01:32:32.5926707Z               40 LOAD_CONST               3 ((45, 74, 103))
2022-11-23T01:32:32.5926802Z               42 LIST_EXTEND              1
2022-11-23T01:32:32.5926899Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5926985Z               46 CALL_METHOD              3
2022-11-23T01:32:32.5926992Z 
2022-11-23T01:32:32.5927089Z 2986          48 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5927211Z               50 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5927308Z               52 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5927406Z               54 BUILD_LIST               0
2022-11-23T01:32:32.5927512Z               56 LOAD_CONST               4 ((36, 39, 40))
2022-11-23T01:32:32.5927609Z               58 LIST_EXTEND              1
2022-11-23T01:32:32.5927700Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5927796Z               62 CALL_METHOD              3
2022-11-23T01:32:32.5927801Z 
2022-11-23T01:32:32.5927900Z 2987          64 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:32.5928019Z               66 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:32.5928118Z               68 LOAD_FAST                0 (a)
2022-11-23T01:32:32.5928216Z               70 LOAD_CONST               0 (None)
2022-11-23T01:32:32.5928346Z               72 BUILD_LIST               0
2022-11-23T01:32:32.5928456Z               74 LOAD_CONST               5 ((2.0, 2.0, 2.0))
2022-11-23T01:32:32.5928543Z               76 LIST_EXTEND              1
2022-11-23T01:32:32.5928638Z               78 CALL_METHOD              3
2022-11-23T01:32:32.5928667Z 
2022-11-23T01:32:32.5928763Z 2982          80 BUILD_TUPLE              5
2022-11-23T01:32:32.5928847Z               82 RETURN_VALUE
2022-11-23T01:32:32.5928914Z  
2022-11-23T01:32:32.5928919Z 
2022-11-23T01:32:32.5929237Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983
2022-11-23T01:32:32.5929460Z [2022-11-23 01:30:50,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:32.5929790Z [2022-11-23 01:30:50,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5930061Z [2022-11-23 01:30:50,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5930363Z [2022-11-23 01:30:50,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5930701Z [2022-11-23 01:30:50,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5931066Z [2022-11-23 01:30:50,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5931393Z [2022-11-23 01:30:50,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5931763Z [2022-11-23 01:30:50,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5932075Z [2022-11-23 01:30:50,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984
2022-11-23T01:32:32.5932323Z [2022-11-23 01:30:50,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:32.5932675Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5933014Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5933350Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5933709Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5934099Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5934446Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5934841Z [2022-11-23 01:30:50,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5935176Z [2022-11-23 01:30:50,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985
2022-11-23T01:32:32.5935452Z [2022-11-23 01:30:50,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5935834Z [2022-11-23 01:30:50,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5936192Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5936550Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5936948Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5937371Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5937758Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5938190Z [2022-11-23 01:30:50,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5938506Z [2022-11-23 01:30:50,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986
2022-11-23T01:32:32.5939053Z [2022-11-23 01:30:50,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5939462Z [2022-11-23 01:30:50,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5939824Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5940215Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5940630Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5941081Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5941501Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.5941961Z [2022-11-23 01:30:50,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5942309Z [2022-11-23 01:30:50,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987
2022-11-23T01:32:32.5942735Z [2022-11-23 01:30:50,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5943177Z [2022-11-23 01:30:50,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.5943591Z [2022-11-23 01:30:50,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:32.5944010Z [2022-11-23 01:30:50,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:32.5944474Z [2022-11-23 01:30:50,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:32.5944970Z [2022-11-23 01:30:50,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5945497Z [2022-11-23 01:30:50,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.5945988Z [2022-11-23 01:30:50,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:32.5946308Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982
2022-11-23T01:32:32.5946664Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.5946913Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5947292Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e98030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981>
2022-11-23T01:32:32.5947540Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.5947782Z [2022-11-23 01:30:50,479] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.5948039Z [2022-11-23 01:30:50,480] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.5948297Z [2022-11-23 01:30:50,484] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.5948499Z [2022-11-23 01:30:50,484] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.5948644Z  __compiled_fn_829 <eval_with_key>.5094 opcode, name, target, args, kwargs
2022-11-23T01:32:32.5948741Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.5948899Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T01:32:32.5949062Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T01:32:32.5949225Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T01:32:32.5949412Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T01:32:32.5949581Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T01:32:32.5949802Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T01:32:32.5949830Z 
2022-11-23T01:32:32.5950167Z [2022-11-23 01:30:50,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5950354Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.5950469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5950570Z               4 BUILD_MAP                0
2022-11-23T01:32:32.5950687Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.5950793Z               8 DICT_MERGE               1
2022-11-23T01:32:32.5950903Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.5951002Z              12 RETURN_VALUE
2022-11-23T01:32:32.5951009Z 
2022-11-23T01:32:32.5951760Z  
2022-11-23T01:32:32.5952099Z [2022-11-23 01:30:50,485] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.5952222Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_829)
2022-11-23T01:32:32.5952315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.5952414Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5952497Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.5952591Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.5952704Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.5952815Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5952912Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.5952989Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.5953102Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5953199Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.5953281Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.5953392Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5953495Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.5953577Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.5953680Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5953777Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.5953859Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.5953966Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.5954060Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.5954142Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.5954238Z              42 BUILD_TUPLE              5
2022-11-23T01:32:32.5954313Z              44 RETURN_VALUE
2022-11-23T01:32:32.5954319Z 
2022-11-23T01:32:32.5954386Z  
2022-11-23T01:32:32.5954579Z [2022-11-23 01:30:50,485] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.5954656Z  - 
2022-11-23T01:32:32.5954782Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.5954853Z             {
2022-11-23T01:32:32.5955001Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.5955192Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.5955321Z                 'obj_weakref': None
2022-11-23T01:32:32.5955555Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.5955626Z             }
2022-11-23T01:32:32.5955697Z             
2022-11-23T01:32:32.5955774Z  - 
2022-11-23T01:32:32.5955907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.5955969Z             {
2022-11-23T01:32:32.5956120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.5956233Z                 'code': None,
2022-11-23T01:32:32.5956486Z                 'obj_weakref': <weakref at 0x7f1f25b76bb0; to 'Tensor' at 0x7f20231426b0>
2022-11-23T01:32:32.5956743Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.5956814Z             }
2022-11-23T01:32:32.5956909Z             
2022-11-23T01:32:32.5956979Z  - 
2022-11-23T01:32:32.5957123Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.5957193Z             {
2022-11-23T01:32:32.5957337Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.5957515Z                 'code': ['___check_obj_id(model, 139771751797888)'],
2022-11-23T01:32:32.5957640Z                 'obj_weakref': None
2022-11-23T01:32:32.5957875Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.5957936Z             }
2022-11-23T01:32:32.5958005Z             
2022-11-23T01:32:32.5958081Z  - 
2022-11-23T01:32:32.5958210Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.5958281Z             {
2022-11-23T01:32:32.5958424Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.5958647Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.5958764Z                 'obj_weakref': None
2022-11-23T01:32:32.5958997Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.5959066Z             }
2022-11-23T01:32:32.5959135Z             
2022-11-23T01:32:32.5959210Z  - 
2022-11-23T01:32:32.5959349Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:32.5959418Z             {
2022-11-23T01:32:32.5959538Z                 'guard_types': None,
2022-11-23T01:32:32.5959650Z                 'code': None,
2022-11-23T01:32:32.5959774Z                 'obj_weakref': None
2022-11-23T01:32:32.5959902Z                 'guarded_class': None
2022-11-23T01:32:32.5959970Z             }
2022-11-23T01:32:32.5960038Z             
2022-11-23T01:32:32.5960308Z [2022-11-23 01:30:50,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 811
2022-11-23T01:32:32.5960599Z [2022-11-23 01:30:50,535] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.5960858Z [2022-11-23 01:30:50,540] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.5961107Z [2022-11-23 01:30:50,544] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.5961356Z [2022-11-23 01:30:50,548] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3')]
2022-11-23T01:32:32.5961361Z 
2022-11-23T01:32:32.5961464Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5961539Z import torch
2022-11-23T01:32:32.5961615Z import random
2022-11-23T01:32:32.5961739Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5961860Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5961875Z 
2022-11-23T01:32:32.5961952Z aten = torch.ops.aten
2022-11-23T01:32:32.5962095Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5962195Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5962200Z 
2022-11-23T01:32:32.5962278Z import triton
2022-11-23T01:32:32.5962373Z import triton.language as tl
2022-11-23T01:32:32.5962507Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5962652Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5962658Z 
2022-11-23T01:32:32.5962662Z 
2022-11-23T01:32:32.5962877Z triton_fused_upsample_nearest3d_upsample_nearest3d_40 = async_compile.triton('''
2022-11-23T01:32:32.5962961Z import triton
2022-11-23T01:32:32.5963073Z import triton.language as tl
2022-11-23T01:32:32.5963208Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5963319Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5963489Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5963620Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5963626Z 
2022-11-23T01:32:32.5964022Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5964112Z @triton.jit
2022-11-23T01:32:32.5964260Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5964340Z     xnumel = 3509376
2022-11-23T01:32:32.5964442Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5964576Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5964661Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5964748Z     x2 = (xindex // 5928) % 74
2022-11-23T01:32:32.5964824Z     x1 = (xindex // 78) % 76
2022-11-23T01:32:32.5964902Z     x0 = xindex % 78
2022-11-23T01:32:32.5964982Z     x3 = (xindex // 438672)
2022-11-23T01:32:32.5965057Z     x5 = xindex
2022-11-23T01:32:32.5965130Z     tmp0 = x2
2022-11-23T01:32:32.5965204Z     tmp1 = 0.5
2022-11-23T01:32:32.5965284Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5965365Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5965438Z     tmp4 = x1
2022-11-23T01:32:32.5965522Z     tmp5 = tmp4 * tmp1
2022-11-23T01:32:32.5965608Z     tmp6 = tmp5.to(tl.int32)
2022-11-23T01:32:32.5965679Z     tmp7 = x0
2022-11-23T01:32:32.5965759Z     tmp8 = tmp7 * tmp1
2022-11-23T01:32:32.5965843Z     tmp9 = tmp8.to(tl.int32)
2022-11-23T01:32:32.5966006Z     tmp10 = tl.load(in_ptr0 + (tmp9 + (39*tmp6) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5966146Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.5966288Z     tl.store(out_ptr1 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.5966377Z ''')
2022-11-23T01:32:32.5966382Z 
2022-11-23T01:32:32.5966386Z 
2022-11-23T01:32:32.5966575Z triton_fused_upsample_nearest3d_11 = async_compile.triton('''
2022-11-23T01:32:32.5966650Z import triton
2022-11-23T01:32:32.5966745Z import triton.language as tl
2022-11-23T01:32:32.5966855Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5966960Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5967101Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5967229Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5967235Z 
2022-11-23T01:32:32.5967610Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5967685Z @triton.jit
2022-11-23T01:32:32.5967820Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5967896Z     xnumel = 3360000
2022-11-23T01:32:32.5967990Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5968125Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5968211Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5968296Z     x2 = (xindex // 6000) % 70
2022-11-23T01:32:32.5968378Z     x1 = (xindex // 80) % 75
2022-11-23T01:32:32.5968453Z     x0 = xindex % 80
2022-11-23T01:32:32.5968541Z     x3 = (xindex // 420000)
2022-11-23T01:32:32.5968606Z     x5 = xindex
2022-11-23T01:32:32.5968678Z     tmp0 = x2
2022-11-23T01:32:32.5968758Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5968838Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5968926Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5968998Z     tmp4 = x1
2022-11-23T01:32:32.5969077Z     tmp5 = 0.5066666666666667
2022-11-23T01:32:32.5969149Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5969235Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5969306Z     tmp8 = x0
2022-11-23T01:32:32.5969379Z     tmp9 = 0.4875
2022-11-23T01:32:32.5969460Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5969549Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5969766Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5969900Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5969991Z ''')
2022-11-23T01:32:32.5970023Z 
2022-11-23T01:32:32.5970028Z 
2022-11-23T01:32:32.5970218Z triton_fused_upsample_nearest3d_22 = async_compile.triton('''
2022-11-23T01:32:32.5970293Z import triton
2022-11-23T01:32:32.5970387Z import triton.language as tl
2022-11-23T01:32:32.5970504Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5970610Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5970740Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5970869Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5970875Z 
2022-11-23T01:32:32.5971253Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5971326Z @triton.jit
2022-11-23T01:32:32.5971461Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5971539Z     xnumel = 2743920
2022-11-23T01:32:32.5971642Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5971783Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5971861Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5971945Z     x2 = (xindex // 7622) % 45
2022-11-23T01:32:32.5972029Z     x1 = (xindex // 103) % 74
2022-11-23T01:32:32.5972107Z     x0 = xindex % 103
2022-11-23T01:32:32.5972189Z     x3 = (xindex // 342990)
2022-11-23T01:32:32.5972260Z     x5 = xindex
2022-11-23T01:32:32.5972333Z     tmp0 = x2
2022-11-23T01:32:32.5972406Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5972485Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5972573Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5972649Z     tmp4 = x1
2022-11-23T01:32:32.5972731Z     tmp5 = 0.5135135135135135
2022-11-23T01:32:32.5972822Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5972924Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5972997Z     tmp8 = x0
2022-11-23T01:32:32.5973091Z     tmp9 = 0.3786407766990291
2022-11-23T01:32:32.5973176Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5973264Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5973430Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5973570Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5973657Z ''')
2022-11-23T01:32:32.5973663Z 
2022-11-23T01:32:32.5973667Z 
2022-11-23T01:32:32.5973846Z triton_fused_upsample_nearest3d_33 = async_compile.triton('''
2022-11-23T01:32:32.5973922Z import triton
2022-11-23T01:32:32.5974016Z import triton.language as tl
2022-11-23T01:32:32.5974132Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5974237Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5974373Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5974501Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5974506Z 
2022-11-23T01:32:32.5974878Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5974952Z @triton.jit
2022-11-23T01:32:32.5975087Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5975163Z     xnumel = 449280
2022-11-23T01:32:32.5975263Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5975400Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5975484Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5975568Z     x2 = (xindex // 1560) % 36
2022-11-23T01:32:32.5975643Z     x1 = (xindex // 40) % 39
2022-11-23T01:32:32.5975750Z     x0 = xindex % 40
2022-11-23T01:32:32.5975834Z     x3 = (xindex // 56160)
2022-11-23T01:32:32.5975907Z     x5 = xindex
2022-11-23T01:32:32.5975979Z     tmp0 = x2
2022-11-23T01:32:32.5976060Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5976143Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5976245Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5976317Z     tmp4 = x1
2022-11-23T01:32:32.5976397Z     tmp5 = 0.9743589743589743
2022-11-23T01:32:32.5976480Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5976566Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5976638Z     tmp8 = x0
2022-11-23T01:32:32.5976705Z     tmp9 = 0.975
2022-11-23T01:32:32.5976786Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5976875Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5977037Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.5977175Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5977267Z ''')
2022-11-23T01:32:32.5977272Z 
2022-11-23T01:32:32.5977277Z 
2022-11-23T01:32:32.5977373Z async_compile.wait(globals())
2022-11-23T01:32:32.5977451Z del async_compile
2022-11-23T01:32:32.5977456Z 
2022-11-23T01:32:32.5977525Z def call(args):
2022-11-23T01:32:32.5977604Z     arg0_1, = args
2022-11-23T01:32:32.5977680Z     args.clear()
2022-11-23T01:32:32.5977923Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5978162Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5978255Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5978447Z     triton_fused_upsample_nearest3d_upsample_nearest3d_40.run(arg0_1, buf0, buf4, 3509376, grid=grid(3509376), stream=stream0)
2022-11-23T01:32:32.5978682Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5978955Z     triton_fused_upsample_nearest3d_11.run(arg0_1, buf1, 3360000, grid=grid(3360000), stream=stream0)
2022-11-23T01:32:32.5979198Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5979355Z     triton_fused_upsample_nearest3d_22.run(arg0_1, buf2, 2743920, grid=grid(2743920), stream=stream0)
2022-11-23T01:32:32.5979595Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5979764Z     triton_fused_upsample_nearest3d_33.run(arg0_1, buf3, 449280, grid=grid(449280), stream=stream0)
2022-11-23T01:32:32.5979840Z     del arg0_1
2022-11-23T01:32:32.5979944Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5979949Z 
2022-11-23T01:32:32.5979954Z 
2022-11-23T01:32:32.5980036Z if __name__ == "__main__":
2022-11-23T01:32:32.5980161Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.5980286Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.5980524Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.5980637Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.5980643Z 
2022-11-23T01:32:32.5981004Z [2022-11-23 01:30:50,657] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vp/cvpquem2x7nmtb5bu7ryfmf4dey2352y74jz7j6zx5g3dg5dw6ho.py
2022-11-23T01:32:32.5981270Z [2022-11-23 01:30:50,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 811
2022-11-23T01:32:32.5981276Z 
2022-11-23T01:32:32.5981377Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.5981456Z import torch
2022-11-23T01:32:32.5981532Z import random
2022-11-23T01:32:32.5981645Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.5981770Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.5981775Z 
2022-11-23T01:32:32.5981859Z aten = torch.ops.aten
2022-11-23T01:32:32.5982052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.5982154Z async_compile = AsyncCompile()
2022-11-23T01:32:32.5982159Z 
2022-11-23T01:32:32.5982236Z import triton
2022-11-23T01:32:32.5982330Z import triton.language as tl
2022-11-23T01:32:32.5982493Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.5982629Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.5982634Z 
2022-11-23T01:32:32.5982645Z 
2022-11-23T01:32:32.5982861Z triton_fused_upsample_nearest3d_upsample_nearest3d_40 = async_compile.triton('''
2022-11-23T01:32:32.5982937Z import triton
2022-11-23T01:32:32.5983030Z import triton.language as tl
2022-11-23T01:32:32.5983150Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5983257Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5983393Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5983524Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5983529Z 
2022-11-23T01:32:32.5983911Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.5983989Z @triton.jit
2022-11-23T01:32:32.5984134Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5984213Z     xnumel = 3509376
2022-11-23T01:32:32.5984317Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5984449Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5984536Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5984621Z     x2 = (xindex // 5928) % 74
2022-11-23T01:32:32.5984696Z     x1 = (xindex // 78) % 76
2022-11-23T01:32:32.5984773Z     x0 = xindex % 78
2022-11-23T01:32:32.5984854Z     x3 = (xindex // 438672)
2022-11-23T01:32:32.5984925Z     x5 = xindex
2022-11-23T01:32:32.5985000Z     tmp0 = x2
2022-11-23T01:32:32.5985075Z     tmp1 = 0.5
2022-11-23T01:32:32.5985148Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5985235Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5985308Z     tmp4 = x1
2022-11-23T01:32:32.5985388Z     tmp5 = tmp4 * tmp1
2022-11-23T01:32:32.5985476Z     tmp6 = tmp5.to(tl.int32)
2022-11-23T01:32:32.5985549Z     tmp7 = x0
2022-11-23T01:32:32.5985627Z     tmp8 = tmp7 * tmp1
2022-11-23T01:32:32.5985706Z     tmp9 = tmp8.to(tl.int32)
2022-11-23T01:32:32.5985884Z     tmp10 = tl.load(in_ptr0 + (tmp9 + (39*tmp6) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5986022Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.5986158Z     tl.store(out_ptr1 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.5986245Z ''')
2022-11-23T01:32:32.5986251Z 
2022-11-23T01:32:32.5986255Z 
2022-11-23T01:32:32.5986439Z triton_fused_upsample_nearest3d_11 = async_compile.triton('''
2022-11-23T01:32:32.5986518Z import triton
2022-11-23T01:32:32.5986610Z import triton.language as tl
2022-11-23T01:32:32.5986719Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5986821Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5986955Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5987090Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5987095Z 
2022-11-23T01:32:32.5987464Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5987539Z @triton.jit
2022-11-23T01:32:32.5987672Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5987749Z     xnumel = 3360000
2022-11-23T01:32:32.5987841Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5987976Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5988099Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5988184Z     x2 = (xindex // 6000) % 70
2022-11-23T01:32:32.5988266Z     x1 = (xindex // 80) % 75
2022-11-23T01:32:32.5988342Z     x0 = xindex % 80
2022-11-23T01:32:32.5988416Z     x3 = (xindex // 420000)
2022-11-23T01:32:32.5988528Z     x5 = xindex
2022-11-23T01:32:32.5988601Z     tmp0 = x2
2022-11-23T01:32:32.5988681Z     tmp1 = 0.5285714285714286
2022-11-23T01:32:32.5988761Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5988848Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5988922Z     tmp4 = x1
2022-11-23T01:32:32.5988994Z     tmp5 = 0.5066666666666667
2022-11-23T01:32:32.5989073Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5989162Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5989235Z     tmp8 = x0
2022-11-23T01:32:32.5989309Z     tmp9 = 0.4875
2022-11-23T01:32:32.5989390Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5989479Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5989654Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5989791Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5989879Z ''')
2022-11-23T01:32:32.5989884Z 
2022-11-23T01:32:32.5989891Z 
2022-11-23T01:32:32.5990077Z triton_fused_upsample_nearest3d_22 = async_compile.triton('''
2022-11-23T01:32:32.5990153Z import triton
2022-11-23T01:32:32.5990317Z import triton.language as tl
2022-11-23T01:32:32.5990453Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5990557Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5990684Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5990811Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5990816Z 
2022-11-23T01:32:32.5991192Z @pointwise(size_hints=[4194304], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5991267Z @triton.jit
2022-11-23T01:32:32.5991398Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5991474Z     xnumel = 2743920
2022-11-23T01:32:32.5991574Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5991708Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5991786Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5991868Z     x2 = (xindex // 7622) % 45
2022-11-23T01:32:32.5991950Z     x1 = (xindex // 103) % 74
2022-11-23T01:32:32.5992027Z     x0 = xindex % 103
2022-11-23T01:32:32.5992108Z     x3 = (xindex // 342990)
2022-11-23T01:32:32.5992180Z     x5 = xindex
2022-11-23T01:32:32.5992245Z     tmp0 = x2
2022-11-23T01:32:32.5992323Z     tmp1 = 0.8222222222222222
2022-11-23T01:32:32.5992403Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5992490Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5992562Z     tmp4 = x1
2022-11-23T01:32:32.5992642Z     tmp5 = 0.5135135135135135
2022-11-23T01:32:32.5992721Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5992800Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5992872Z     tmp8 = x0
2022-11-23T01:32:32.5992949Z     tmp9 = 0.3786407766990291
2022-11-23T01:32:32.5993039Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5993146Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5993356Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5993497Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5993577Z ''')
2022-11-23T01:32:32.5993582Z 
2022-11-23T01:32:32.5993595Z 
2022-11-23T01:32:32.5993774Z triton_fused_upsample_nearest3d_33 = async_compile.triton('''
2022-11-23T01:32:32.5993849Z import triton
2022-11-23T01:32:32.5993941Z import triton.language as tl
2022-11-23T01:32:32.5994057Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.5994160Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.5994337Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.5994468Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.5994473Z 
2022-11-23T01:32:32.5994839Z @pointwise(size_hints=[524288], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.5994934Z @triton.jit
2022-11-23T01:32:32.5995068Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.5995145Z     xnumel = 449280
2022-11-23T01:32:32.5995244Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.5995376Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.5995460Z     xmask = xindex < xnumel
2022-11-23T01:32:32.5995543Z     x2 = (xindex // 1560) % 36
2022-11-23T01:32:32.5995618Z     x1 = (xindex // 40) % 39
2022-11-23T01:32:32.5995695Z     x0 = xindex % 40
2022-11-23T01:32:32.5995779Z     x3 = (xindex // 56160)
2022-11-23T01:32:32.5995850Z     x5 = xindex
2022-11-23T01:32:32.5995925Z     tmp0 = x2
2022-11-23T01:32:32.5996004Z     tmp1 = 1.0277777777777777
2022-11-23T01:32:32.5996076Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.5996163Z     tmp3 = tmp2.to(tl.int32)
2022-11-23T01:32:32.5996237Z     tmp4 = x1
2022-11-23T01:32:32.5996315Z     tmp5 = 0.9743589743589743
2022-11-23T01:32:32.5996394Z     tmp6 = tmp4 * tmp5
2022-11-23T01:32:32.5996479Z     tmp7 = tmp6.to(tl.int32)
2022-11-23T01:32:32.5996551Z     tmp8 = x0
2022-11-23T01:32:32.5996617Z     tmp9 = 0.975
2022-11-23T01:32:32.5996698Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.5996786Z     tmp11 = tmp10.to(tl.int32)
2022-11-23T01:32:32.5996966Z     tmp12 = tl.load(in_ptr0 + (tmp11 + (39*tmp7) + (1482*tmp3) + (54834*x3) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.5997104Z     tl.store(out_ptr0 + (x5 + tl.zeros([XBLOCK], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.5997191Z ''')
2022-11-23T01:32:32.5997200Z 
2022-11-23T01:32:32.5997204Z 
2022-11-23T01:32:32.5997299Z async_compile.wait(globals())
2022-11-23T01:32:32.5997370Z del async_compile
2022-11-23T01:32:32.5997381Z 
2022-11-23T01:32:32.5997450Z def call(args):
2022-11-23T01:32:32.5997524Z     arg0_1, = args
2022-11-23T01:32:32.5997602Z     args.clear()
2022-11-23T01:32:32.5997843Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5998080Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5998172Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.5998361Z     triton_fused_upsample_nearest3d_upsample_nearest3d_40.run(arg0_1, buf0, buf4, 3509376, grid=grid(3509376), stream=stream0)
2022-11-23T01:32:32.5998586Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5998753Z     triton_fused_upsample_nearest3d_11.run(arg0_1, buf1, 3360000, grid=grid(3360000), stream=stream0)
2022-11-23T01:32:32.5998992Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5999148Z     triton_fused_upsample_nearest3d_22.run(arg0_1, buf2, 2743920, grid=grid(2743920), stream=stream0)
2022-11-23T01:32:32.5999385Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.5999547Z     triton_fused_upsample_nearest3d_33.run(arg0_1, buf3, 449280, grid=grid(449280), stream=stream0)
2022-11-23T01:32:32.5999623Z     del arg0_1
2022-11-23T01:32:32.5999726Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:32.5999731Z 
2022-11-23T01:32:32.5999736Z 
2022-11-23T01:32:32.5999817Z if __name__ == "__main__":
2022-11-23T01:32:32.5999930Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6000058Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6000321Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6000436Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.6000442Z 
2022-11-23T01:32:32.6000514Z ok (0.503s)
2022-11-23T01:32:32.6000844Z   test_var_mean_cuda (__main__.CudaTests) ... [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6001160Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6001382Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6001638Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6001913Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6002258Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6002625Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6002948Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6003319Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191> 
2022-11-23T01:32:32.6003417Z  2192           0 BUILD_LIST               0
2022-11-23T01:32:32.6003422Z 
2022-11-23T01:32:32.6003524Z 2193           2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6003632Z                4 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:32.6003730Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6003865Z                8 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.6003963Z               10 CALL_METHOD              2
2022-11-23T01:32:32.6003970Z 
2022-11-23T01:32:32.6004064Z 2192          12 LIST_EXTEND              1
2022-11-23T01:32:32.6004070Z 
2022-11-23T01:32:32.6004170Z 2194          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6004275Z               16 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:32.6004372Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6004467Z               20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6004562Z               22 LOAD_CONST               3 (3)
2022-11-23T01:32:32.6004649Z               24 BUILD_LIST               2
2022-11-23T01:32:32.6004743Z               26 CALL_METHOD              2
2022-11-23T01:32:32.6004748Z 
2022-11-23T01:32:32.6004841Z 2192          28 LIST_EXTEND              1
2022-11-23T01:32:32.6004926Z               30 LIST_TO_TUPLE
2022-11-23T01:32:32.6005008Z               32 RETURN_VALUE
2022-11-23T01:32:32.6005074Z  
2022-11-23T01:32:32.6005079Z 
2022-11-23T01:32:32.6005394Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6005613Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.6005919Z [2022-11-23 01:30:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193
2022-11-23T01:32:32.6006168Z [2022-11-23 01:30:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:32.6006584Z [2022-11-23 01:30:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6006931Z [2022-11-23 01:30:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6007327Z [2022-11-23 01:30:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6007738Z [2022-11-23 01:30:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6008049Z [2022-11-23 01:30:50,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6008320Z [2022-11-23 01:30:50,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:32.6008633Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194
2022-11-23T01:32:32.6008881Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:32.6009271Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6009617Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6009977Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6010386Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6010825Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.6011226Z [2022-11-23 01:30:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.6011536Z [2022-11-23 01:30:50,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6011800Z [2022-11-23 01:30:50,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:32.6012048Z [2022-11-23 01:30:50,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()]
2022-11-23T01:32:32.6012297Z [2022-11-23 01:30:50,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6012701Z [2022-11-23 01:30:50,673] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191>
2022-11-23T01:32:32.6012976Z [2022-11-23 01:30:50,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6013215Z [2022-11-23 01:30:50,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6013475Z [2022-11-23 01:30:50,674] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6013749Z [2022-11-23 01:30:50,678] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6013944Z [2022-11-23 01:30:50,678] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6014089Z  __compiled_fn_830 <eval_with_key>.5100 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6014207Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6014453Z call_function, var_mean, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:32.6014654Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T01:32:32.6014854Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T01:32:32.6015101Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, [1, 3]), {}
2022-11-23T01:32:32.6015295Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T01:32:32.6015498Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T01:32:32.6015642Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.6015647Z 
2022-11-23T01:32:32.6015981Z [2022-11-23 01:30:50,678] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6016086Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6016183Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6016277Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6016378Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6016463Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6016558Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6016641Z              12 RETURN_VALUE
2022-11-23T01:32:32.6016646Z 
2022-11-23T01:32:32.6016712Z  
2022-11-23T01:32:32.6017036Z [2022-11-23 01:30:50,678] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6017155Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_830)
2022-11-23T01:32:32.6017254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6017354Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6017433Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6017528Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.6017641Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6017752Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6017849Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6017934Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.6018042Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6018132Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6018215Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.6018324Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6018420Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.6018502Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.6018610Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6018710Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.6018785Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.6019075Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.6019160Z              38 RETURN_VALUE
2022-11-23T01:32:32.6019166Z 
2022-11-23T01:32:32.6019233Z  
2022-11-23T01:32:32.6019423Z [2022-11-23 01:30:50,679] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6019502Z  - 
2022-11-23T01:32:32.6019630Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6019694Z             {
2022-11-23T01:32:32.6019841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6020036Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.6020215Z                 'obj_weakref': None
2022-11-23T01:32:32.6020447Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6020517Z             }
2022-11-23T01:32:32.6020587Z             
2022-11-23T01:32:32.6020695Z  - 
2022-11-23T01:32:32.6020817Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6020888Z             {
2022-11-23T01:32:32.6021036Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6021148Z                 'code': None,
2022-11-23T01:32:32.6021362Z                 'obj_weakref': <weakref at 0x7f1f25bb8db0; to 'Tensor' at 0x7f1f25bc4770>
2022-11-23T01:32:32.6021612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6021681Z             }
2022-11-23T01:32:32.6021743Z             
2022-11-23T01:32:32.6021819Z  - 
2022-11-23T01:32:32.6021953Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6022024Z             {
2022-11-23T01:32:32.6022164Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6022338Z                 'code': ['___check_obj_id(model, 139771752905264)'],
2022-11-23T01:32:32.6022462Z                 'obj_weakref': None
2022-11-23T01:32:32.6022685Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6022755Z             }
2022-11-23T01:32:32.6022823Z             
2022-11-23T01:32:32.6022899Z  - 
2022-11-23T01:32:32.6023023Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6023096Z             {
2022-11-23T01:32:32.6023229Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6023445Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6023568Z                 'obj_weakref': None
2022-11-23T01:32:32.6023790Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6023861Z             }
2022-11-23T01:32:32.6023930Z             
2022-11-23T01:32:32.6024007Z  - 
2022-11-23T01:32:32.6024137Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.6024206Z             {
2022-11-23T01:32:32.6024331Z                 'guard_types': None,
2022-11-23T01:32:32.6024446Z                 'code': None,
2022-11-23T01:32:32.6024566Z                 'obj_weakref': None
2022-11-23T01:32:32.6024691Z                 'guarded_class': None
2022-11-23T01:32:32.6024759Z             }
2022-11-23T01:32:32.6024820Z             
2022-11-23T01:32:32.6025082Z [2022-11-23 01:30:50,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 812
2022-11-23T01:32:32.6025914Z [2022-11-23 01:30:50,721] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf6'), SchedulerNode(name='buf7'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.6026127Z [2022-11-23 01:30:50,724] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.6026950Z [2022-11-23 01:30:50,725] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf8'), SchedulerNode(name='buf9'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.6027163Z [2022-11-23 01:30:50,730] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:32.6027558Z [2022-11-23 01:30:50,922] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qj/cqjjrsno6i2pyjsugevfhp5q6s5tcijmay7mlnl572wvvr32ulio.py
2022-11-23T01:32:32.6027827Z [2022-11-23 01:30:50,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 812
2022-11-23T01:32:32.6028067Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6028404Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6028624Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6028879Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6029149Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6029468Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6029810Z [2022-11-23 01:30:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6030131Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6030611Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191> 
2022-11-23T01:32:32.6030710Z  2192           0 BUILD_LIST               0
2022-11-23T01:32:32.6030715Z 
2022-11-23T01:32:32.6030819Z 2193           2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6030928Z                4 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:32.6031027Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6031172Z                8 LOAD_CONST               1 (-1)
2022-11-23T01:32:32.6031261Z               10 CALL_METHOD              2
2022-11-23T01:32:32.6031266Z 
2022-11-23T01:32:32.6031360Z 2192          12 LIST_EXTEND              1
2022-11-23T01:32:32.6031365Z 
2022-11-23T01:32:32.6031468Z 2194          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6031573Z               16 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:32.6031670Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6031766Z               20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6031862Z               22 LOAD_CONST               3 (3)
2022-11-23T01:32:32.6031948Z               24 BUILD_LIST               2
2022-11-23T01:32:32.6032040Z               26 CALL_METHOD              2
2022-11-23T01:32:32.6032046Z 
2022-11-23T01:32:32.6032138Z 2192          28 LIST_EXTEND              1
2022-11-23T01:32:32.6032225Z               30 LIST_TO_TUPLE
2022-11-23T01:32:32.6032310Z               32 RETURN_VALUE
2022-11-23T01:32:32.6032377Z  
2022-11-23T01:32:32.6032382Z 
2022-11-23T01:32:32.6032696Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6032913Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:32.6033229Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193
2022-11-23T01:32:32.6033467Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:32.6033855Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6034242Z [2022-11-23 01:30:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6034616Z [2022-11-23 01:30:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6035046Z [2022-11-23 01:30:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6035353Z [2022-11-23 01:30:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6035618Z [2022-11-23 01:30:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:32.6035927Z [2022-11-23 01:30:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194
2022-11-23T01:32:32.6036170Z [2022-11-23 01:30:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:32:32.6036552Z [2022-11-23 01:30:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6036893Z [2022-11-23 01:30:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6037261Z [2022-11-23 01:30:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6037658Z [2022-11-23 01:30:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6038097Z [2022-11-23 01:30:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.6038497Z [2022-11-23 01:30:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f209c394c60>), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.6038804Z [2022-11-23 01:30:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:32:32.6039070Z [2022-11-23 01:30:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:32:32.6039318Z [2022-11-23 01:30:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()]
2022-11-23T01:32:32.6039564Z [2022-11-23 01:30:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6039937Z [2022-11-23 01:30:50,932] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157ecb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191>
2022-11-23T01:32:32.6040180Z [2022-11-23 01:30:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6040419Z [2022-11-23 01:30:50,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6040675Z [2022-11-23 01:30:50,933] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6040926Z [2022-11-23 01:30:50,937] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6041146Z [2022-11-23 01:30:50,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6041292Z  __compiled_fn_831 <eval_with_key>.5106 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6041389Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6041632Z call_function, var_mean, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, -1), {}
2022-11-23T01:32:32.6041852Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T01:32:32.6042054Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T01:32:32.6042297Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7f209c394c60>, (ex_0_, [1, 3]), {}
2022-11-23T01:32:32.6042494Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T01:32:32.6042684Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T01:32:32.6042830Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:32.6042837Z 
2022-11-23T01:32:32.6043216Z [2022-11-23 01:30:50,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6043320Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6043423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6043517Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6043617Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6043710Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6043799Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6043882Z              12 RETURN_VALUE
2022-11-23T01:32:32.6043887Z 
2022-11-23T01:32:32.6043953Z  
2022-11-23T01:32:32.6044286Z [2022-11-23 01:30:50,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6044411Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_831)
2022-11-23T01:32:32.6044514Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6044612Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6044689Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6044784Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.6044898Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6045009Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6045106Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6045190Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.6045300Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6045397Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6045473Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.6045581Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6045678Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.6045763Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.6045873Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6045970Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.6046055Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.6046145Z              36 BUILD_TUPLE              4
2022-11-23T01:32:32.6046228Z              38 RETURN_VALUE
2022-11-23T01:32:32.6046233Z 
2022-11-23T01:32:32.6046300Z  
2022-11-23T01:32:32.6046489Z [2022-11-23 01:30:50,938] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6046567Z  - 
2022-11-23T01:32:32.6046694Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6046764Z             {
2022-11-23T01:32:32.6046905Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6047095Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.6047220Z                 'obj_weakref': None
2022-11-23T01:32:32.6047480Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6047554Z             }
2022-11-23T01:32:32.6047623Z             
2022-11-23T01:32:32.6047702Z  - 
2022-11-23T01:32:32.6047825Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6047898Z             {
2022-11-23T01:32:32.6048070Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6048183Z                 'code': None,
2022-11-23T01:32:32.6048396Z                 'obj_weakref': <weakref at 0x7f1f25e8c7c0; to 'Tensor' at 0x7f1f25b45b70>
2022-11-23T01:32:32.6048650Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6048720Z             }
2022-11-23T01:32:32.6048783Z             
2022-11-23T01:32:32.6048859Z  - 
2022-11-23T01:32:32.6048996Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6049065Z             {
2022-11-23T01:32:32.6049204Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6049387Z                 'code': ['___check_obj_id(model, 139771752905264)'],
2022-11-23T01:32:32.6049515Z                 'obj_weakref': None
2022-11-23T01:32:32.6049738Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6049808Z             }
2022-11-23T01:32:32.6049879Z             
2022-11-23T01:32:32.6049956Z  - 
2022-11-23T01:32:32.6050081Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6050151Z             {
2022-11-23T01:32:32.6050291Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6050501Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6050625Z                 'obj_weakref': None
2022-11-23T01:32:32.6050848Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6050919Z             }
2022-11-23T01:32:32.6050989Z             
2022-11-23T01:32:32.6051065Z  - 
2022-11-23T01:32:32.6051209Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.6051272Z             {
2022-11-23T01:32:32.6051397Z                 'guard_types': None,
2022-11-23T01:32:32.6051510Z                 'code': None,
2022-11-23T01:32:32.6051632Z                 'obj_weakref': None
2022-11-23T01:32:32.6051761Z                 'guarded_class': None
2022-11-23T01:32:32.6051830Z             }
2022-11-23T01:32:32.6051892Z             
2022-11-23T01:32:32.6052156Z [2022-11-23 01:30:50,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 813
2022-11-23T01:32:32.6053044Z [2022-11-23 01:30:50,974] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf1'), SchedulerNode(name='buf2'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf7'), SchedulerNode(name='buf6'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.6053258Z [2022-11-23 01:30:50,977] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T01:32:32.6053464Z [2022-11-23 01:30:50,977] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:32.6054288Z [2022-11-23 01:30:50,978] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf3'), <class 'torch._inductor.codegen.triton.DisableReduction'>, <class 'torch._inductor.codegen.triton.EnableReduction'>, SchedulerNode(name='buf4'), SchedulerNode(name='buf5'), <class 'torch._inductor.codegen.triton.DisableReduction'>, SchedulerNode(name='buf9'), SchedulerNode(name='buf8'), <class 'torch._inductor.codegen.triton.EnableReduction'>]
2022-11-23T01:32:32.6054505Z [2022-11-23 01:30:50,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2022-11-23T01:32:32.6054709Z [2022-11-23 01:30:50,982] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:32.6054714Z 
2022-11-23T01:32:32.6054849Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6054926Z import torch
2022-11-23T01:32:32.6055002Z import random
2022-11-23T01:32:32.6055118Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6055246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6055272Z 
2022-11-23T01:32:32.6055359Z aten = torch.ops.aten
2022-11-23T01:32:32.6055503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6055601Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6055606Z 
2022-11-23T01:32:32.6055681Z import triton
2022-11-23T01:32:32.6055779Z import triton.language as tl
2022-11-23T01:32:32.6055908Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6056046Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6056052Z 
2022-11-23T01:32:32.6056063Z 
2022-11-23T01:32:32.6056221Z triton_fused_var_mean0 = async_compile.triton('''
2022-11-23T01:32:32.6056297Z import triton
2022-11-23T01:32:32.6056394Z import triton.language as tl
2022-11-23T01:32:32.6056512Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6056616Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6056750Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.6056872Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6056887Z 
2022-11-23T01:32:32.6056971Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.6057088Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.6057174Z               filename=__file__,
2022-11-23T01:32:32.6057517Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6057591Z @triton.jit
2022-11-23T01:32:32.6057779Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.6057854Z     xnumel = 8
2022-11-23T01:32:32.6057922Z     rnumel = 8
2022-11-23T01:32:32.6058021Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6058160Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.6058245Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6058370Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.6058442Z     x0 = xindex
2022-11-23T01:32:32.6058563Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6058665Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6058755Z         rindex = roffset + rbase
2022-11-23T01:32:32.6058959Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6059036Z         r1 = rindex
2022-11-23T01:32:32.6059258Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.6059384Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.6059501Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6059625Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6059736Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6059844Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6059936Z         rindex = roffset + rbase
2022-11-23T01:32:32.6060028Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6060101Z         r1 = rindex
2022-11-23T01:32:32.6060322Z         tmp2 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.6060395Z         tmp3 = 8
2022-11-23T01:32:32.6060470Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.6060584Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.6060664Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.6060790Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.6060909Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:32.6061026Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6061194Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6061259Z     tmp9 = 7
2022-11-23T01:32:32.6061341Z     tmp10 = tmp7 / tmp9
2022-11-23T01:32:32.6061416Z     tmp11 = 8
2022-11-23T01:32:32.6061497Z     tmp12 = tmp8 / tmp11
2022-11-23T01:32:32.6061640Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.6061810Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.6061896Z ''')
2022-11-23T01:32:32.6061902Z 
2022-11-23T01:32:32.6061906Z 
2022-11-23T01:32:32.6062063Z triton_fused_var_mean_11 = async_compile.triton('''
2022-11-23T01:32:32.6062141Z import triton
2022-11-23T01:32:32.6062235Z import triton.language as tl
2022-11-23T01:32:32.6062354Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6062459Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6062604Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.6062754Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6062760Z 
2022-11-23T01:32:32.6062872Z @reduction(size_hints=[4, 16],
2022-11-23T01:32:32.6062989Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.6063075Z               filename=__file__,
2022-11-23T01:32:32.6063422Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:32.6063496Z @triton.jit
2022-11-23T01:32:32.6063682Z def kernel(in_out_ptr0, in_out_ptr1, in_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.6063755Z     xnumel = 4
2022-11-23T01:32:32.6063828Z     rnumel = 16
2022-11-23T01:32:32.6063920Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6064059Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.6064144Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6064270Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.6064342Z     x0 = xindex
2022-11-23T01:32:32.6064458Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6064565Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6064653Z         rindex = roffset + rbase
2022-11-23T01:32:32.6064738Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6064816Z         r1 = rindex % 8
2022-11-23T01:32:32.6064898Z         r2 = (rindex // 8)
2022-11-23T01:32:32.6065128Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0) + (32*r2)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.6065252Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:32.6065368Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6065478Z     _tmp7 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6065594Z     _tmp8 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6065702Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6065791Z         rindex = roffset + rbase
2022-11-23T01:32:32.6065878Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6065955Z         r1 = rindex % 8
2022-11-23T01:32:32.6066038Z         r2 = (rindex // 8)
2022-11-23T01:32:32.6066255Z         tmp2 = tl.load(in_ptr0 + (r1 + (8*x0) + (32*r2)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:32.6066332Z         tmp3 = 16
2022-11-23T01:32:32.6066415Z         tmp4 = tmp1 / tmp3
2022-11-23T01:32:32.6066528Z         tmp5 = tmp2 - tmp4
2022-11-23T01:32:32.6066609Z         tmp6 = tmp5 * tmp5
2022-11-23T01:32:32.6066731Z         _tmp7 = tl.where(xmask & rmask, _tmp7 + tmp6, _tmp7)
2022-11-23T01:32:32.6066851Z         _tmp8 = tl.where(xmask & rmask, _tmp8 + tmp2, _tmp8)
2022-11-23T01:32:32.6066959Z     tmp7 = tl.reshape(tl.sum(_tmp7, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6067071Z     tmp8 = tl.reshape(tl.sum(_tmp8, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6067144Z     tmp9 = 15
2022-11-23T01:32:32.6067226Z     tmp10 = tmp7 / tmp9
2022-11-23T01:32:32.6067332Z     tmp11 = 16
2022-11-23T01:32:32.6067415Z     tmp12 = tmp8 / tmp11
2022-11-23T01:32:32.6067558Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp10, xmask)
2022-11-23T01:32:32.6067691Z     tl.store(in_out_ptr1 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp12, xmask)
2022-11-23T01:32:32.6067800Z ''')
2022-11-23T01:32:32.6067805Z 
2022-11-23T01:32:32.6067810Z 
2022-11-23T01:32:32.6067905Z async_compile.wait(globals())
2022-11-23T01:32:32.6067983Z del async_compile
2022-11-23T01:32:32.6067988Z 
2022-11-23T01:32:32.6068063Z def call(args):
2022-11-23T01:32:32.6068137Z     arg0_1, = args
2022-11-23T01:32:32.6068213Z     args.clear()
2022-11-23T01:32:32.6068419Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6068612Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6068707Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:32.6068800Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:32:32.6068891Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6069042Z     triton_fused_var_mean0.run(buf6, buf7, arg0_1, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.6069240Z     buf4 = empty_strided((1, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6069438Z     buf5 = empty_strided((1, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6069528Z     buf8 = buf4; del buf4  # reuse
2022-11-23T01:32:32.6069609Z     buf9 = buf5; del buf5  # reuse
2022-11-23T01:32:32.6069759Z     triton_fused_var_mean_11.run(buf8, buf9, arg0_1, 4, 16, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.6069831Z     del arg0_1
2022-11-23T01:32:32.6069924Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T01:32:32.6069930Z 
2022-11-23T01:32:32.6069934Z 
2022-11-23T01:32:32.6070016Z if __name__ == "__main__":
2022-11-23T01:32:32.6070136Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6070377Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6070607Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6070727Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.6070732Z 
2022-11-23T01:32:32.6071101Z [2022-11-23 01:30:51,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7t/c7toc5pzvcirzjnumxejsjk6cur2nxourustyoeblchfgex2fv27.py
2022-11-23T01:32:32.6071372Z [2022-11-23 01:30:51,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 813
2022-11-23T01:32:32.6071377Z 
2022-11-23T01:32:32.6071478Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6071553Z import torch
2022-11-23T01:32:32.6071629Z import random
2022-11-23T01:32:32.6071751Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6071879Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6071884Z 
2022-11-23T01:32:32.6071961Z aten = torch.ops.aten
2022-11-23T01:32:32.6072105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6072204Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6072209Z 
2022-11-23T01:32:32.6072285Z import triton
2022-11-23T01:32:32.6072379Z import triton.language as tl
2022-11-23T01:32:32.6072510Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6072655Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6072661Z 
2022-11-23T01:32:32.6072665Z 
2022-11-23T01:32:32.6072827Z triton_fused_var_mean0 = async_compile.triton('''
2022-11-23T01:32:32.6072896Z import triton
2022-11-23T01:32:32.6072991Z import triton.language as tl
2022-11-23T01:32:32.6073109Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6073213Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6073349Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.6073478Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6073484Z 
2022-11-23T01:32:32.6073609Z @reduction(size_hints=[8, 8],
2022-11-23T01:32:32.6073721Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:32.6073813Z               filename=__file__,
2022-11-23T01:32:32.6074153Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6074249Z @triton.jit
2022-11-23T01:32:32.6074434Z def kernel(in_out_ptr0, in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.6074508Z     xnumel = 8
2022-11-23T01:32:32.6074581Z     rnumel = 8
2022-11-23T01:32:32.6074681Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6074813Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.6074900Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6075022Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.6075099Z     x0 = xindex
2022-11-23T01:32:32.6075221Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6075329Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6075420Z         rindex = roffset + rbase
2022-11-23T01:32:32.6075501Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6075576Z         r1 = rindex
2022-11-23T01:32:32.6075820Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.6075912Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.6076035Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.6076152Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6076270Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6076384Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6076493Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6076582Z         rindex = roffset + rbase
2022-11-23T01:32:32.6076672Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6076744Z         r1 = rindex
2022-11-23T01:32:32.6076985Z         tmp3 = tl.load(in_ptr0 + (r1 + (8*x0)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.6077064Z         tmp4 = 8
2022-11-23T01:32:32.6077143Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.6077235Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.6077350Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.6077431Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.6077555Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.6077647Z         tmp10 = tmp3.to(tl.float32)
2022-11-23T01:32:32.6077774Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.6077884Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6078001Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6078075Z     tmp12 = 8
2022-11-23T01:32:32.6078159Z     tmp13 = tmp11 / tmp12
2022-11-23T01:32:32.6078250Z     tmp14 = tmp13.to(tl.float32)
2022-11-23T01:32:32.6078322Z     tmp15 = 7
2022-11-23T01:32:32.6078403Z     tmp16 = tmp9 / tmp15
2022-11-23T01:32:32.6078536Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp14, xmask)
2022-11-23T01:32:32.6078680Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp16, xmask)
2022-11-23T01:32:32.6078768Z ''')
2022-11-23T01:32:32.6078773Z 
2022-11-23T01:32:32.6078778Z 
2022-11-23T01:32:32.6078943Z triton_fused_var_mean_11 = async_compile.triton('''
2022-11-23T01:32:32.6079019Z import triton
2022-11-23T01:32:32.6079113Z import triton.language as tl
2022-11-23T01:32:32.6079230Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6079335Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6079463Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:32.6079591Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6079597Z 
2022-11-23T01:32:32.6079730Z @reduction(size_hints=[4, 16],
2022-11-23T01:32:32.6079856Z               reduction_hint=ReductionHint.DEFAULT,
2022-11-23T01:32:32.6079944Z               filename=__file__,
2022-11-23T01:32:32.6080288Z               meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 4), equal_to_1=())]})
2022-11-23T01:32:32.6080386Z @triton.jit
2022-11-23T01:32:32.6080569Z def kernel(in_out_ptr0, in_ptr0, out_ptr2, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:32.6080637Z     xnumel = 4
2022-11-23T01:32:32.6080711Z     rnumel = 16
2022-11-23T01:32:32.6080811Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6080952Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:32.6081038Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6081160Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:32.6081235Z     x0 = xindex
2022-11-23T01:32:32.6081347Z     _tmp2 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6081455Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6081546Z         rindex = roffset + rbase
2022-11-23T01:32:32.6081633Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6081715Z         r1 = rindex % 8
2022-11-23T01:32:32.6081797Z         r2 = (rindex // 8)
2022-11-23T01:32:32.6082051Z         tmp0 = tl.load(in_ptr0 + (r1 + (8*x0) + (32*r2)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.6082138Z         tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:32.6082261Z         _tmp2 = tl.where(xmask & rmask, _tmp2 + tmp1, _tmp2)
2022-11-23T01:32:32.6082376Z     tmp2 = tl.reshape(tl.sum(_tmp2, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6082495Z     _tmp9 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6082616Z     _tmp11 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:32.6082726Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:32.6082821Z         rindex = roffset + rbase
2022-11-23T01:32:32.6082919Z         rmask = rindex < rnumel
2022-11-23T01:32:32.6083005Z         r1 = rindex % 8
2022-11-23T01:32:32.6083105Z         r2 = (rindex // 8)
2022-11-23T01:32:32.6083356Z         tmp3 = tl.load(in_ptr0 + (r1 + (8*x0) + (32*r2)), xmask & rmask, eviction_policy='evict_last').to(tl.float32)
2022-11-23T01:32:32.6083434Z         tmp4 = 16
2022-11-23T01:32:32.6083516Z         tmp5 = tmp2 / tmp4
2022-11-23T01:32:32.6083611Z         tmp6 = tmp5.to(tl.float32)
2022-11-23T01:32:32.6083719Z         tmp7 = tmp3 - tmp6
2022-11-23T01:32:32.6083800Z         tmp8 = tmp7 * tmp7
2022-11-23T01:32:32.6083921Z         _tmp9 = tl.where(xmask & rmask, _tmp9 + tmp8, _tmp9)
2022-11-23T01:32:32.6084014Z         tmp10 = tmp3.to(tl.float32)
2022-11-23T01:32:32.6084143Z         _tmp11 = tl.where(xmask & rmask, _tmp11 + tmp10, _tmp11)
2022-11-23T01:32:32.6084260Z     tmp9 = tl.reshape(tl.sum(_tmp9, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6084379Z     tmp11 = tl.reshape(tl.sum(_tmp11, 1), [XBLOCK, 1])
2022-11-23T01:32:32.6084446Z     tmp12 = 16
2022-11-23T01:32:32.6084529Z     tmp13 = tmp11 / tmp12
2022-11-23T01:32:32.6084618Z     tmp14 = tmp13.to(tl.float32)
2022-11-23T01:32:32.6084691Z     tmp15 = 15
2022-11-23T01:32:32.6084776Z     tmp16 = tmp9 / tmp15
2022-11-23T01:32:32.6084916Z     tl.store(out_ptr2 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp14, xmask)
2022-11-23T01:32:32.6085060Z     tl.store(in_out_ptr0 + (x0 + tl.zeros([XBLOCK, 1], tl.int32)), tmp16, xmask)
2022-11-23T01:32:32.6085140Z ''')
2022-11-23T01:32:32.6085145Z 
2022-11-23T01:32:32.6085156Z 
2022-11-23T01:32:32.6085244Z async_compile.wait(globals())
2022-11-23T01:32:32.6085322Z del async_compile
2022-11-23T01:32:32.6085327Z 
2022-11-23T01:32:32.6085404Z def call(args):
2022-11-23T01:32:32.6085478Z     arg0_1, = args
2022-11-23T01:32:32.6085555Z     args.clear()
2022-11-23T01:32:32.6085764Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6085997Z     buf7 = empty_strided((1, 2, 4), (8, 4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6086083Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:32.6086175Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6086326Z     triton_fused_var_mean0.run(buf6, arg0_1, buf7, 8, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.6086545Z     buf4 = empty_strided((1, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6086742Z     buf9 = empty_strided((1, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6086833Z     buf8 = buf4; del buf4  # reuse
2022-11-23T01:32:32.6086982Z     triton_fused_var_mean_11.run(buf8, arg0_1, buf9, 4, 16, grid=grid(4), stream=stream0)
2022-11-23T01:32:32.6087049Z     del arg0_1
2022-11-23T01:32:32.6087145Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T01:32:32.6087150Z 
2022-11-23T01:32:32.6087154Z 
2022-11-23T01:32:32.6087236Z if __name__ == "__main__":
2022-11-23T01:32:32.6087363Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6087495Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6087709Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6087825Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.6087833Z 
2022-11-23T01:32:32.6087905Z ok (0.414s)
2022-11-23T01:32:32.6088208Z   test_vdd_clamp_cuda (__main__.CudaTests) ... [2022-11-23 01:30:51,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6088525Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6088748Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6089005Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6089287Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6089607Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6089952Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6090273Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6090647Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371> 
2022-11-23T01:32:32.6090754Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6090863Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T01:32:32.6090956Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6091054Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.6091152Z                8 CALL_METHOD              2
2022-11-23T01:32:32.6091241Z               10 RETURN_VALUE
2022-11-23T01:32:32.6091308Z  
2022-11-23T01:32:32.6091313Z 
2022-11-23T01:32:32.6091625Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372
2022-11-23T01:32:32.6091844Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.6092211Z [2022-11-23 01:30:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6092578Z [2022-11-23 01:30:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6092927Z [2022-11-23 01:30:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6093342Z [2022-11-23 01:30:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6093592Z [2022-11-23 01:30:51,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6093967Z [2022-11-23 01:30:51,084] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371>
2022-11-23T01:32:32.6094218Z [2022-11-23 01:30:51,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6094453Z [2022-11-23 01:30:51,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6094709Z [2022-11-23 01:30:51,085] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6094962Z [2022-11-23 01:30:51,088] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6095156Z [2022-11-23 01:30:51,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6095291Z  __compiled_fn_832 <eval_with_key>.5112 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6095388Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6095636Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7f209c394c60>, (ex_0_, 3), {}
2022-11-23T01:32:32.6095748Z output, output, output, ((clamp_min,),), {}
2022-11-23T01:32:32.6095754Z 
2022-11-23T01:32:32.6096080Z [2022-11-23 01:30:51,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6096182Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6096281Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6096375Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6096472Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6096566Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6096661Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6096745Z              12 RETURN_VALUE
2022-11-23T01:32:32.6096750Z 
2022-11-23T01:32:32.6096817Z  
2022-11-23T01:32:32.6097134Z [2022-11-23 01:30:51,088] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6097251Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_832)
2022-11-23T01:32:32.6097349Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6097445Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6097528Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6097622Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.6097719Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.6097805Z              12 RETURN_VALUE
2022-11-23T01:32:32.6097810Z 
2022-11-23T01:32:32.6097878Z  
2022-11-23T01:32:32.6098065Z [2022-11-23 01:30:51,089] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6098135Z  - 
2022-11-23T01:32:32.6098260Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6098331Z             {
2022-11-23T01:32:32.6098476Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6098666Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.6098979Z                 'obj_weakref': None
2022-11-23T01:32:32.6099212Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6099329Z             }
2022-11-23T01:32:32.6099402Z             
2022-11-23T01:32:32.6099480Z  - 
2022-11-23T01:32:32.6099610Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6099679Z             {
2022-11-23T01:32:32.6099827Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6099969Z                 'code': None,
2022-11-23T01:32:32.6100178Z                 'obj_weakref': <weakref at 0x7f1fd81b6fc0; to 'Tensor' at 0x7f1f25f1afc0>
2022-11-23T01:32:32.6100426Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6100496Z             }
2022-11-23T01:32:32.6100566Z             
2022-11-23T01:32:32.6100643Z  - 
2022-11-23T01:32:32.6100780Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6100850Z             {
2022-11-23T01:32:32.6100985Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6101160Z                 'code': ['___check_obj_id(model, 139771751796304)'],
2022-11-23T01:32:32.6101285Z                 'obj_weakref': None
2022-11-23T01:32:32.6101519Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6101589Z             }
2022-11-23T01:32:32.6101658Z             
2022-11-23T01:32:32.6101737Z  - 
2022-11-23T01:32:32.6101857Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6101926Z             {
2022-11-23T01:32:32.6102066Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6102285Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6102409Z                 'obj_weakref': None
2022-11-23T01:32:32.6102635Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6102721Z             }
2022-11-23T01:32:32.6102792Z             
2022-11-23T01:32:32.6102877Z  - 
2022-11-23T01:32:32.6103034Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.6103106Z             {
2022-11-23T01:32:32.6103235Z                 'guard_types': None,
2022-11-23T01:32:32.6103348Z                 'code': None,
2022-11-23T01:32:32.6103470Z                 'obj_weakref': None
2022-11-23T01:32:32.6103590Z                 'guarded_class': None
2022-11-23T01:32:32.6103663Z             }
2022-11-23T01:32:32.6103732Z             
2022-11-23T01:32:32.6103997Z [2022-11-23 01:30:51,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 814
2022-11-23T01:32:32.6104294Z [2022-11-23 01:30:51,110] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.6104656Z [2022-11-23 01:30:51,173] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/42/c42dvpldcspi6b3pxow6wd2txoa6hhc5sj5pt7x6gqqri27qxr27.py
2022-11-23T01:32:32.6104924Z [2022-11-23 01:30:51,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 814
2022-11-23T01:32:32.6105167Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6105480Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6105704Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6105962Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6106243Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6106566Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6106946Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6107274Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6107654Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371> 
2022-11-23T01:32:32.6107782Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.6107890Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T01:32:32.6107983Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6108080Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:32.6108176Z                8 CALL_METHOD              2
2022-11-23T01:32:32.6108259Z               10 RETURN_VALUE
2022-11-23T01:32:32.6108326Z  
2022-11-23T01:32:32.6108331Z 
2022-11-23T01:32:32.6108651Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372
2022-11-23T01:32:32.6108877Z [2022-11-23 01:30:51,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.6109255Z [2022-11-23 01:30:51,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.6109583Z [2022-11-23 01:30:51,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.6109932Z [2022-11-23 01:30:51,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:32.6110394Z [2022-11-23 01:30:51,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7f209c394c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6110680Z [2022-11-23 01:30:51,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6111058Z [2022-11-23 01:30:51,179] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157e8bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371>
2022-11-23T01:32:32.6111312Z [2022-11-23 01:30:51,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6111547Z [2022-11-23 01:30:51,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6111802Z [2022-11-23 01:30:51,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6112057Z [2022-11-23 01:30:51,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6112251Z [2022-11-23 01:30:51,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6112394Z  __compiled_fn_833 <eval_with_key>.5123 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6112482Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6112730Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7f209c394c60>, (ex_0_, 3), {}
2022-11-23T01:32:32.6112844Z output, output, output, ((clamp_min,),), {}
2022-11-23T01:32:32.6112850Z 
2022-11-23T01:32:32.6113182Z [2022-11-23 01:30:51,183] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6113284Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6113382Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6113476Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6113577Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6113694Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6113794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6113876Z              12 RETURN_VALUE
2022-11-23T01:32:32.6113882Z 
2022-11-23T01:32:32.6113948Z  
2022-11-23T01:32:32.6114268Z [2022-11-23 01:30:51,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6114410Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_833)
2022-11-23T01:32:32.6114508Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6114608Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6114684Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6114778Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.6114875Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.6114956Z              12 RETURN_VALUE
2022-11-23T01:32:32.6114962Z 
2022-11-23T01:32:32.6115027Z  
2022-11-23T01:32:32.6115219Z [2022-11-23 01:30:51,184] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6115296Z  - 
2022-11-23T01:32:32.6115414Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6115485Z             {
2022-11-23T01:32:32.6115631Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6115823Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.6115947Z                 'obj_weakref': None
2022-11-23T01:32:32.6116173Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6116246Z             }
2022-11-23T01:32:32.6116308Z             
2022-11-23T01:32:32.6116385Z  - 
2022-11-23T01:32:32.6116514Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6116584Z             {
2022-11-23T01:32:32.6116732Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6116845Z                 'code': None,
2022-11-23T01:32:32.6117058Z                 'obj_weakref': <weakref at 0x7f1f25e7fc90; to 'Tensor' at 0x7f1f25e8ea70>
2022-11-23T01:32:32.6117304Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6117374Z             }
2022-11-23T01:32:32.6117442Z             
2022-11-23T01:32:32.6117525Z  - 
2022-11-23T01:32:32.6117662Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6117731Z             {
2022-11-23T01:32:32.6117871Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6118037Z                 'code': ['___check_obj_id(model, 139771751796304)'],
2022-11-23T01:32:32.6118163Z                 'obj_weakref': None
2022-11-23T01:32:32.6118395Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6118465Z             }
2022-11-23T01:32:32.6118534Z             
2022-11-23T01:32:32.6118610Z  - 
2022-11-23T01:32:32.6118740Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6118803Z             {
2022-11-23T01:32:32.6118951Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6119171Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6119297Z                 'obj_weakref': None
2022-11-23T01:32:32.6119522Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6119594Z             }
2022-11-23T01:32:32.6119663Z             
2022-11-23T01:32:32.6119733Z  - 
2022-11-23T01:32:32.6119872Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.6119943Z             {
2022-11-23T01:32:32.6120071Z                 'guard_types': None,
2022-11-23T01:32:32.6120185Z                 'code': None,
2022-11-23T01:32:32.6120310Z                 'obj_weakref': None
2022-11-23T01:32:32.6120429Z                 'guarded_class': None
2022-11-23T01:32:32.6120499Z             }
2022-11-23T01:32:32.6120568Z             
2022-11-23T01:32:32.6120861Z [2022-11-23 01:30:51,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 815
2022-11-23T01:32:32.6121156Z [2022-11-23 01:30:51,205] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf1')]
2022-11-23T01:32:32.6121532Z [2022-11-23 01:30:51,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ru/crugpu4apxil6goqoukvgvfmcqmvuleroxziopzv2wdcdtodisim.py
2022-11-23T01:32:32.6121873Z [2022-11-23 01:30:51,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 815
2022-11-23T01:32:32.6121879Z 
2022-11-23T01:32:32.6121979Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6122059Z import torch
2022-11-23T01:32:32.6122128Z import random
2022-11-23T01:32:32.6122251Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6122384Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6122389Z 
2022-11-23T01:32:32.6122483Z aten = torch.ops.aten
2022-11-23T01:32:32.6122647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6122766Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6122772Z 
2022-11-23T01:32:32.6122846Z import triton
2022-11-23T01:32:32.6122934Z import triton.language as tl
2022-11-23T01:32:32.6123063Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6123214Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6123219Z 
2022-11-23T01:32:32.6123224Z 
2022-11-23T01:32:32.6123422Z triton_fused_maximum_ge_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:32.6123498Z import triton
2022-11-23T01:32:32.6123591Z import triton.language as tl
2022-11-23T01:32:32.6123708Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6123814Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6123944Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6124075Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6124080Z 
2022-11-23T01:32:32.6124473Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6124551Z @triton.jit
2022-11-23T01:32:32.6124700Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6124775Z     xnumel = 16
2022-11-23T01:32:32.6124875Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6125008Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6125086Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6125158Z     x0 = xindex
2022-11-23T01:32:32.6125257Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6125333Z     tmp1 = 3.0
2022-11-23T01:32:32.6125428Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:32.6125500Z     tmp3 = 3
2022-11-23T01:32:32.6125583Z     tmp4 = tmp0 >= tmp3
2022-11-23T01:32:32.6125716Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6125852Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6125939Z ''')
2022-11-23T01:32:32.6125944Z 
2022-11-23T01:32:32.6125949Z 
2022-11-23T01:32:32.6126044Z async_compile.wait(globals())
2022-11-23T01:32:32.6126126Z del async_compile
2022-11-23T01:32:32.6126131Z 
2022-11-23T01:32:32.6126209Z def call(args):
2022-11-23T01:32:32.6126290Z     primals_1, = args
2022-11-23T01:32:32.6126360Z     args.clear()
2022-11-23T01:32:32.6126557Z     buf0 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6126747Z     buf1 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.6126840Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6127017Z     triton_fused_maximum_ge_lift_fresh_copy0.run(primals_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.6127096Z     del primals_1
2022-11-23T01:32:32.6127179Z     return (buf0, buf1, )
2022-11-23T01:32:32.6127223Z 
2022-11-23T01:32:32.6127229Z 
2022-11-23T01:32:32.6127312Z if __name__ == "__main__":
2022-11-23T01:32:32.6127426Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6127557Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6127787Z     primals_1 = rand_strided((16, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6127908Z     print_performance(lambda: call([primals_1]))
2022-11-23T01:32:32.6127913Z 
2022-11-23T01:32:32.6127917Z 
2022-11-23T01:32:32.6128018Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6128094Z import torch
2022-11-23T01:32:32.6128169Z import random
2022-11-23T01:32:32.6128293Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6128413Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6128418Z 
2022-11-23T01:32:32.6128502Z aten = torch.ops.aten
2022-11-23T01:32:32.6128642Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6128743Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6128748Z 
2022-11-23T01:32:32.6128827Z import triton
2022-11-23T01:32:32.6128922Z import triton.language as tl
2022-11-23T01:32:32.6129051Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6129191Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6129204Z 
2022-11-23T01:32:32.6129208Z 
2022-11-23T01:32:32.6129397Z triton_fused_maximum_ge_lift_fresh_copy0 = async_compile.triton('''
2022-11-23T01:32:32.6129474Z import triton
2022-11-23T01:32:32.6129567Z import triton.language as tl
2022-11-23T01:32:32.6129682Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6129786Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6129923Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6130054Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6130059Z 
2022-11-23T01:32:32.6130444Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*i1', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6130512Z @triton.jit
2022-11-23T01:32:32.6130656Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6130734Z     xnumel = 16
2022-11-23T01:32:32.6130833Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6130965Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6131052Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6131124Z     x0 = xindex
2022-11-23T01:32:32.6131238Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6131315Z     tmp1 = 3.0
2022-11-23T01:32:32.6131410Z     tmp2 = tl.maximum(tmp0, tmp1)
2022-11-23T01:32:32.6131483Z     tmp3 = 3
2022-11-23T01:32:32.6131565Z     tmp4 = tmp0 >= tmp3
2022-11-23T01:32:32.6131705Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6131844Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6131925Z ''')
2022-11-23T01:32:32.6131930Z 
2022-11-23T01:32:32.6131941Z 
2022-11-23T01:32:32.6132029Z async_compile.wait(globals())
2022-11-23T01:32:32.6132111Z del async_compile
2022-11-23T01:32:32.6132116Z 
2022-11-23T01:32:32.6132197Z def call(args):
2022-11-23T01:32:32.6132296Z     primals_1, = args
2022-11-23T01:32:32.6132375Z     args.clear()
2022-11-23T01:32:32.6132598Z     buf0 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6132789Z     buf1 = empty_strided((16, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.6132875Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6133052Z     triton_fused_maximum_ge_lift_fresh_copy0.run(primals_1, buf0, buf1, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.6133131Z     del primals_1
2022-11-23T01:32:32.6133214Z     return (buf0, buf1, )
2022-11-23T01:32:32.6133219Z 
2022-11-23T01:32:32.6133255Z 
2022-11-23T01:32:32.6133338Z if __name__ == "__main__":
2022-11-23T01:32:32.6133458Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6133587Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6133786Z     primals_1 = rand_strided((16, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6133934Z     print_performance(lambda: call([primals_1]))
2022-11-23T01:32:32.6133939Z 
2022-11-23T01:32:32.6134012Z ok (0.192s)
2022-11-23T01:32:32.6134335Z   test_vertical_fusion1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6134654Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6134875Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6135134Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6135411Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6135730Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6136076Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6136396Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6136776Z [2022-11-23 01:30:51,288] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702> 
2022-11-23T01:32:32.6136951Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T01:32:32.6137051Z               2 STORE_FAST               3 (v17)
2022-11-23T01:32:32.6137056Z 
2022-11-23T01:32:32.6137230Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T01:32:32.6137333Z               6 STORE_FAST               4 (v18)
2022-11-23T01:32:32.6137339Z 
2022-11-23T01:32:32.6137510Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T01:32:32.6137608Z              10 STORE_FAST               5 (v19)
2022-11-23T01:32:32.6137613Z 
2022-11-23T01:32:32.6137781Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T01:32:32.6137871Z              14 STORE_FAST               6 (v20)
2022-11-23T01:32:32.6137883Z 
2022-11-23T01:32:32.6137974Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T01:32:32.6138072Z              18 LOAD_FAST                1 (ct)
2022-11-23T01:32:32.6138165Z              20 BINARY_MULTIPLY
2022-11-23T01:32:32.6138262Z              22 STORE_FAST               7 (t15)
2022-11-23T01:32:32.6138266Z 
2022-11-23T01:32:32.6138361Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T01:32:32.6138457Z              26 LOAD_FAST                1 (ct)
2022-11-23T01:32:32.6138557Z              28 LOAD_FAST                4 (v18)
2022-11-23T01:32:32.6138644Z              30 LOAD_FAST                7 (t15)
2022-11-23T01:32:32.6138723Z              32 BINARY_ADD
2022-11-23T01:32:32.6138931Z              34 BINARY_MULTIPLY
2022-11-23T01:32:32.6139013Z              36 BINARY_ADD
2022-11-23T01:32:32.6139108Z              38 LOAD_FAST                6 (v20)
2022-11-23T01:32:32.6139205Z              40 LOAD_FAST                0 (sa)
2022-11-23T01:32:32.6139289Z              42 BINARY_MULTIPLY
2022-11-23T01:32:32.6139360Z              44 BINARY_ADD
2022-11-23T01:32:32.6139456Z              46 STORE_FAST               8 (t19)
2022-11-23T01:32:32.6139461Z 
2022-11-23T01:32:32.6139610Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T01:32:32.6139707Z              50 LOAD_FAST                8 (t19)
2022-11-23T01:32:32.6139798Z              52 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.6139893Z              54 STORE_FAST               9 (t20)
2022-11-23T01:32:32.6139927Z 
2022-11-23T01:32:32.6140023Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T01:32:32.6140124Z              58 LOAD_FAST                2 (p)
2022-11-23T01:32:32.6140203Z              60 BINARY_MULTIPLY
2022-11-23T01:32:32.6140301Z              62 STORE_FAST              10 (t128)
2022-11-23T01:32:32.6140306Z 
2022-11-23T01:32:32.6140400Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T01:32:32.6140500Z              66 LOAD_FAST               10 (t128)
2022-11-23T01:32:32.6140578Z              68 BINARY_ADD
2022-11-23T01:32:32.6140660Z              70 RETURN_VALUE
2022-11-23T01:32:32.6140728Z  
2022-11-23T01:32:32.6140733Z 
2022-11-23T01:32:32.6141050Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704
2022-11-23T01:32:32.6141295Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T01:32:32.6141554Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T01:32:32.6141864Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705
2022-11-23T01:32:32.6142104Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T01:32:32.6142356Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T01:32:32.6142664Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706
2022-11-23T01:32:32.6142900Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T01:32:32.6143153Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T01:32:32.6143462Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707
2022-11-23T01:32:32.6143693Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T01:32:32.6143942Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T01:32:32.6144243Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708
2022-11-23T01:32:32.6144466Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T01:32:32.6144722Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:32.6145020Z [2022-11-23 01:30:51,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6145268Z [2022-11-23 01:30:51,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T01:32:32.6145584Z [2022-11-23 01:30:51,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709
2022-11-23T01:32:32.6145802Z [2022-11-23 01:30:51,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T01:32:32.6146055Z [2022-11-23 01:30:51,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:32.6146357Z [2022-11-23 01:30:51,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6146678Z [2022-11-23 01:30:51,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.6147031Z [2022-11-23 01:30:51,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6147381Z [2022-11-23 01:30:51,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6147669Z [2022-11-23 01:30:51,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6147914Z [2022-11-23 01:30:51,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T01:32:32.6148200Z [2022-11-23 01:30:51,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.6148526Z [2022-11-23 01:30:51,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6148801Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6149048Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T01:32:32.6149357Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710
2022-11-23T01:32:32.6149577Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T01:32:32.6149833Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T01:32:32.6150133Z [2022-11-23 01:30:51,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6150455Z [2022-11-23 01:30:51,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T01:32:32.6150805Z [2022-11-23 01:30:51,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711
2022-11-23T01:32:32.6151030Z [2022-11-23 01:30:51,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T01:32:32.6151282Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T01:32:32.6151566Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6151814Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T01:32:32.6152120Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712
2022-11-23T01:32:32.6152335Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T01:32:32.6152585Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T01:32:32.6152864Z [2022-11-23 01:30:51,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6153117Z [2022-11-23 01:30:51,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6153493Z [2022-11-23 01:30:51,297] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702>
2022-11-23T01:32:32.6153746Z [2022-11-23 01:30:51,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6154016Z [2022-11-23 01:30:51,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6154279Z [2022-11-23 01:30:51,299] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6154550Z [2022-11-23 01:30:51,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6154747Z [2022-11-23 01:30:51,305] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6154892Z  __compiled_fn_834 <eval_with_key>.5134 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6154988Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6155080Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6155171Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.6155379Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T01:32:32.6155585Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T01:32:32.6155764Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T01:32:32.6155975Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T01:32:32.6156180Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T01:32:32.6156368Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T01:32:32.6156563Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T01:32:32.6156743Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T01:32:32.6156931Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T01:32:32.6157033Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:32.6157038Z 
2022-11-23T01:32:32.6157363Z [2022-11-23 01:30:51,305] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6157469Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6157568Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6157663Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6157764Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6157859Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6157953Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6158034Z              12 RETURN_VALUE
2022-11-23T01:32:32.6158039Z 
2022-11-23T01:32:32.6158098Z  
2022-11-23T01:32:32.6158421Z [2022-11-23 01:30:51,305] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6158542Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_834)
2022-11-23T01:32:32.6158639Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6158736Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6158821Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6158916Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6159005Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6159090Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6159184Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6159281Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.6159363Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.6159457Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.6159555Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.6159629Z              24 RETURN_VALUE
2022-11-23T01:32:32.6159641Z 
2022-11-23T01:32:32.6159700Z  
2022-11-23T01:32:32.6159889Z [2022-11-23 01:30:51,306] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6159964Z  - 
2022-11-23T01:32:32.6160089Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6160159Z             {
2022-11-23T01:32:32.6160304Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6160519Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.6160644Z                 'obj_weakref': None
2022-11-23T01:32:32.6160873Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6160970Z             }
2022-11-23T01:32:32.6161039Z             
2022-11-23T01:32:32.6161115Z  - 
2022-11-23T01:32:32.6161244Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6161306Z             {
2022-11-23T01:32:32.6161454Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6161567Z                 'code': None,
2022-11-23T01:32:32.6161779Z                 'obj_weakref': <weakref at 0x7f1f25f23920; to 'Tensor' at 0x7f1f25e8f600>
2022-11-23T01:32:32.6162032Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6162101Z             }
2022-11-23T01:32:32.6162169Z             
2022-11-23T01:32:32.6162247Z  - 
2022-11-23T01:32:32.6162369Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6162438Z             {
2022-11-23T01:32:32.6162588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6162702Z                 'code': None,
2022-11-23T01:32:32.6162948Z                 'obj_weakref': <weakref at 0x7f1f25be22f0; to 'Tensor' at 0x7f1f25b2fa60>
2022-11-23T01:32:32.6163220Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6163288Z             }
2022-11-23T01:32:32.6163350Z             
2022-11-23T01:32:32.6163430Z  - 
2022-11-23T01:32:32.6163557Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.6163626Z             {
2022-11-23T01:32:32.6163772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6163884Z                 'code': None,
2022-11-23T01:32:32.6164094Z                 'obj_weakref': <weakref at 0x7f1f25ecc860; to 'Tensor' at 0x7f1f25e8ea70>
2022-11-23T01:32:32.6164341Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6164411Z             }
2022-11-23T01:32:32.6164478Z             
2022-11-23T01:32:32.6164554Z  - 
2022-11-23T01:32:32.6164695Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6164766Z             {
2022-11-23T01:32:32.6164901Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6165078Z                 'code': ['___check_obj_id(model, 139771757044080)'],
2022-11-23T01:32:32.6165203Z                 'obj_weakref': None
2022-11-23T01:32:32.6165435Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6165504Z             }
2022-11-23T01:32:32.6165571Z             
2022-11-23T01:32:32.6165648Z  - 
2022-11-23T01:32:32.6165768Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6165837Z             {
2022-11-23T01:32:32.6165978Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6166201Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6166325Z                 'obj_weakref': None
2022-11-23T01:32:32.6166550Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6166620Z             }
2022-11-23T01:32:32.6166688Z             
2022-11-23T01:32:32.6166949Z [2022-11-23 01:30:51,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 816
2022-11-23T01:32:32.6167204Z [2022-11-23 01:30:51,336] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6167571Z [2022-11-23 01:30:51,416] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckurg4hlhomstb7k3obbiqk4lvaqp55xwlaf3og5v6xhzszjrlv2.py
2022-11-23T01:32:32.6167844Z [2022-11-23 01:30:51,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 816
2022-11-23T01:32:32.6168116Z [2022-11-23 01:30:51,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6168436Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6168682Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6168943Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6169225Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6169544Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6169896Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6170222Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6170601Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702> 
2022-11-23T01:32:32.6170778Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T01:32:32.6170879Z               2 STORE_FAST               3 (v17)
2022-11-23T01:32:32.6170884Z 
2022-11-23T01:32:32.6171058Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T01:32:32.6171158Z               6 STORE_FAST               4 (v18)
2022-11-23T01:32:32.6171163Z 
2022-11-23T01:32:32.6171332Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T01:32:32.6171433Z              10 STORE_FAST               5 (v19)
2022-11-23T01:32:32.6171438Z 
2022-11-23T01:32:32.6171599Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T01:32:32.6171698Z              14 STORE_FAST               6 (v20)
2022-11-23T01:32:32.6171703Z 
2022-11-23T01:32:32.6171802Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T01:32:32.6171900Z              18 LOAD_FAST                1 (ct)
2022-11-23T01:32:32.6171986Z              20 BINARY_MULTIPLY
2022-11-23T01:32:32.6172082Z              22 STORE_FAST               7 (t15)
2022-11-23T01:32:32.6172087Z 
2022-11-23T01:32:32.6172181Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T01:32:32.6172280Z              26 LOAD_FAST                1 (ct)
2022-11-23T01:32:32.6172369Z              28 LOAD_FAST                4 (v18)
2022-11-23T01:32:32.6172464Z              30 LOAD_FAST                7 (t15)
2022-11-23T01:32:32.6172542Z              32 BINARY_ADD
2022-11-23T01:32:32.6172626Z              34 BINARY_MULTIPLY
2022-11-23T01:32:32.6172706Z              36 BINARY_ADD
2022-11-23T01:32:32.6172818Z              38 LOAD_FAST                6 (v20)
2022-11-23T01:32:32.6172922Z              40 LOAD_FAST                0 (sa)
2022-11-23T01:32:32.6173018Z              42 BINARY_MULTIPLY
2022-11-23T01:32:32.6173104Z              44 BINARY_ADD
2022-11-23T01:32:32.6173200Z              46 STORE_FAST               8 (t19)
2022-11-23T01:32:32.6173205Z 
2022-11-23T01:32:32.6173301Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T01:32:32.6173394Z              50 LOAD_FAST                8 (t19)
2022-11-23T01:32:32.6173483Z              52 BINARY_TRUE_DIVIDE
2022-11-23T01:32:32.6173579Z              54 STORE_FAST               9 (t20)
2022-11-23T01:32:32.6173583Z 
2022-11-23T01:32:32.6173670Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T01:32:32.6173774Z              58 LOAD_FAST                2 (p)
2022-11-23T01:32:32.6173857Z              60 BINARY_MULTIPLY
2022-11-23T01:32:32.6173995Z              62 STORE_FAST              10 (t128)
2022-11-23T01:32:32.6174001Z 
2022-11-23T01:32:32.6174096Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T01:32:32.6174193Z              66 LOAD_FAST               10 (t128)
2022-11-23T01:32:32.6174272Z              68 BINARY_ADD
2022-11-23T01:32:32.6174375Z              70 RETURN_VALUE
2022-11-23T01:32:32.6174435Z  
2022-11-23T01:32:32.6174440Z 
2022-11-23T01:32:32.6174759Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704
2022-11-23T01:32:32.6175009Z [2022-11-23 01:30:51,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T01:32:32.6175265Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T01:32:32.6175589Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705
2022-11-23T01:32:32.6175831Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T01:32:32.6176090Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T01:32:32.6176406Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706
2022-11-23T01:32:32.6176647Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T01:32:32.6176895Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T01:32:32.6177208Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707
2022-11-23T01:32:32.6177452Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T01:32:32.6177706Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T01:32:32.6178016Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708
2022-11-23T01:32:32.6178237Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T01:32:32.6178494Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:32.6179053Z [2022-11-23 01:30:51,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6179390Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T01:32:32.6179735Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709
2022-11-23T01:32:32.6179947Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T01:32:32.6180199Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:32.6180486Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6180809Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.6181161Z [2022-11-23 01:30:51,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6181548Z [2022-11-23 01:30:51,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6181840Z [2022-11-23 01:30:51,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6182083Z [2022-11-23 01:30:51,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T01:32:32.6182395Z [2022-11-23 01:30:51,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:32.6182719Z [2022-11-23 01:30:51,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6182987Z [2022-11-23 01:30:51,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6183233Z [2022-11-23 01:30:51,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T01:32:32.6183547Z [2022-11-23 01:30:51,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710
2022-11-23T01:32:32.6183769Z [2022-11-23 01:30:51,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T01:32:32.6184021Z [2022-11-23 01:30:51,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T01:32:32.6184324Z [2022-11-23 01:30:51,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.6184565Z [2022-11-23 01:30:51,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T01:32:32.6184873Z [2022-11-23 01:30:51,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711
2022-11-23T01:32:32.6185090Z [2022-11-23 01:30:51,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T01:32:32.6185338Z [2022-11-23 01:30:51,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T01:32:32.6185615Z [2022-11-23 01:30:51,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6185864Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T01:32:32.6186171Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712
2022-11-23T01:32:32.6186385Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T01:32:32.6186629Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T01:32:32.6186904Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6187157Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6187535Z [2022-11-23 01:30:51,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157f41210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702>
2022-11-23T01:32:32.6187788Z [2022-11-23 01:30:51,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.6188026Z [2022-11-23 01:30:51,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6188279Z [2022-11-23 01:30:51,432] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6188533Z [2022-11-23 01:30:51,438] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6188729Z [2022-11-23 01:30:51,439] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6188901Z  __compiled_fn_835 <eval_with_key>.5140 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6188999Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6189094Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6189184Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:32.6189396Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T01:32:32.6189618Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T01:32:32.6189800Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T01:32:32.6190010Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T01:32:32.6190211Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T01:32:32.6190513Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T01:32:32.6190729Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T01:32:32.6190913Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T01:32:32.6191103Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T01:32:32.6191198Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:32.6191203Z 
2022-11-23T01:32:32.6191532Z [2022-11-23 01:30:51,439] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6191636Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6191739Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6191833Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6191934Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6192029Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6192116Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6192200Z              12 RETURN_VALUE
2022-11-23T01:32:32.6192206Z 
2022-11-23T01:32:32.6192271Z  
2022-11-23T01:32:32.6192593Z [2022-11-23 01:30:51,439] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6192712Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_835)
2022-11-23T01:32:32.6192810Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6192910Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6192992Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6193081Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6193178Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6193261Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6193355Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6193447Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:32.6193527Z              18 BINARY_SUBSCR
2022-11-23T01:32:32.6193621Z              20 CALL_FUNCTION            3
2022-11-23T01:32:32.6193711Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.6193793Z              24 RETURN_VALUE
2022-11-23T01:32:32.6193799Z 
2022-11-23T01:32:32.6193864Z  
2022-11-23T01:32:32.6194052Z [2022-11-23 01:30:51,440] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6194128Z  - 
2022-11-23T01:32:32.6194253Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6194322Z             {
2022-11-23T01:32:32.6194460Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6194655Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 3'],
2022-11-23T01:32:32.6194778Z                 'obj_weakref': None
2022-11-23T01:32:32.6195003Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6195075Z             }
2022-11-23T01:32:32.6195145Z             
2022-11-23T01:32:32.6195220Z  - 
2022-11-23T01:32:32.6195341Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6195410Z             {
2022-11-23T01:32:32.6195590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6195703Z                 'code': None,
2022-11-23T01:32:32.6195917Z                 'obj_weakref': <weakref at 0x7f1f25eaa660; to 'Tensor' at 0x7f1f25f22610>
2022-11-23T01:32:32.6196166Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6196280Z             }
2022-11-23T01:32:32.6196342Z             
2022-11-23T01:32:32.6196418Z  - 
2022-11-23T01:32:32.6196545Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6196614Z             {
2022-11-23T01:32:32.6196761Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6196873Z                 'code': None,
2022-11-23T01:32:32.6197082Z                 'obj_weakref': <weakref at 0x7f1f25eac0e0; to 'Tensor' at 0x7f1f25c004f0>
2022-11-23T01:32:32.6197328Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6197396Z             }
2022-11-23T01:32:32.6197466Z             
2022-11-23T01:32:32.6197542Z  - 
2022-11-23T01:32:32.6197669Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:32.6197737Z             {
2022-11-23T01:32:32.6197886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6197994Z                 'code': None,
2022-11-23T01:32:32.6198208Z                 'obj_weakref': <weakref at 0x7f1f360e5490; to 'Tensor' at 0x7f1fd81b6bb0>
2022-11-23T01:32:32.6198459Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6198528Z             }
2022-11-23T01:32:32.6198597Z             
2022-11-23T01:32:32.6198672Z  - 
2022-11-23T01:32:32.6198807Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6198869Z             {
2022-11-23T01:32:32.6199009Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6199186Z                 'code': ['___check_obj_id(model, 139771757044080)'],
2022-11-23T01:32:32.6199313Z                 'obj_weakref': None
2022-11-23T01:32:32.6199548Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6199617Z             }
2022-11-23T01:32:32.6199685Z             
2022-11-23T01:32:32.6199754Z  - 
2022-11-23T01:32:32.6199886Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6199954Z             {
2022-11-23T01:32:32.6200096Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6200318Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6200443Z                 'obj_weakref': None
2022-11-23T01:32:32.6200670Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6200739Z             }
2022-11-23T01:32:32.6200800Z             
2022-11-23T01:32:32.6201066Z [2022-11-23 01:30:51,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 817
2022-11-23T01:32:32.6201321Z [2022-11-23 01:30:51,466] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6201691Z [2022-11-23 01:30:51,546] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v2/cv2ejbdmuocjp7yxyaotgcoy34gjbbxmbiv7pzoumjj3henscavx.py
2022-11-23T01:32:32.6201964Z [2022-11-23 01:30:51,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 817
2022-11-23T01:32:32.6201970Z 
2022-11-23T01:32:32.6202069Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6202143Z import torch
2022-11-23T01:32:32.6202220Z import random
2022-11-23T01:32:32.6202336Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6202462Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6202468Z 
2022-11-23T01:32:32.6202550Z aten = torch.ops.aten
2022-11-23T01:32:32.6202696Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6202802Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6202844Z 
2022-11-23T01:32:32.6202930Z import triton
2022-11-23T01:32:32.6203040Z import triton.language as tl
2022-11-23T01:32:32.6203169Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6203313Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6203340Z 
2022-11-23T01:32:32.6203344Z 
2022-11-23T01:32:32.6203593Z triton_fused_reciprocal_mul_4_add_3_mul_2_mul_3_add_1_add_add_2_mul_1_mul0 = async_compile.triton('''
2022-11-23T01:32:32.6203669Z import triton
2022-11-23T01:32:32.6203762Z import triton.language as tl
2022-11-23T01:32:32.6203880Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6203983Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6204119Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6204241Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6204246Z 
2022-11-23T01:32:32.6204657Z @pointwise(size_hints=[2097152], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: '*fp32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.6204732Z @triton.jit
2022-11-23T01:32:32.6204887Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6204967Z     xnumel = 1082016
2022-11-23T01:32:32.6205068Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6205205Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6205290Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6205355Z     x2 = xindex
2022-11-23T01:32:32.6205431Z     x0 = xindex % 26
2022-11-23T01:32:32.6205531Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:32.6205629Z     tmp8 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:32.6205729Z     tmp15 = tl.load(in_ptr2 + (x0), xmask)
2022-11-23T01:32:32.6205852Z     tmp1 = -1.061519070296458e-11
2022-11-23T01:32:32.6205938Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.6206053Z     tmp3 = -1.988366587925593e-08
2022-11-23T01:32:32.6206135Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6206214Z     tmp5 = tmp0 * tmp4
2022-11-23T01:32:32.6206334Z     tmp6 = -3.087032500374211e-07
2022-11-23T01:32:32.6206413Z     tmp7 = tmp5 + tmp6
2022-11-23T01:32:32.6206536Z     tmp9 = 1.55093272922008e-10
2022-11-23T01:32:32.6206615Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.6206690Z     tmp11 = tmp7 + tmp10
2022-11-23T01:32:32.6206767Z     tmp12 = 1 / tmp11
2022-11-23T01:32:32.6206840Z     tmp13 = 1.0
2022-11-23T01:32:32.6206922Z     tmp14 = tmp12 * tmp13
2022-11-23T01:32:32.6207003Z     tmp16 = tmp11 * tmp15
2022-11-23T01:32:32.6207082Z     tmp17 = tmp14 + tmp16
2022-11-23T01:32:32.6207218Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.6207303Z ''')
2022-11-23T01:32:32.6207308Z 
2022-11-23T01:32:32.6207313Z 
2022-11-23T01:32:32.6207408Z async_compile.wait(globals())
2022-11-23T01:32:32.6207487Z del async_compile
2022-11-23T01:32:32.6207494Z 
2022-11-23T01:32:32.6207570Z def call(args):
2022-11-23T01:32:32.6207658Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.6207736Z     args.clear()
2022-11-23T01:32:32.6207955Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6208042Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6208249Z     triton_fused_reciprocal_mul_4_add_3_mul_2_mul_3_add_1_add_add_2_mul_1_mul0.run(arg1_1, arg0_1, arg2_1, buf0, 1082016, grid=grid(1082016), stream=stream0)
2022-11-23T01:32:32.6208324Z     del arg0_1
2022-11-23T01:32:32.6208397Z     del arg1_1
2022-11-23T01:32:32.6208470Z     del arg2_1
2022-11-23T01:32:32.6208545Z     return (buf0, )
2022-11-23T01:32:32.6208550Z 
2022-11-23T01:32:32.6208555Z 
2022-11-23T01:32:32.6208636Z if __name__ == "__main__":
2022-11-23T01:32:32.6208756Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6208879Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6209132Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6209350Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6209547Z     arg2_1 = rand_strided((26, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6209701Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.6209706Z 
2022-11-23T01:32:32.6209710Z 
2022-11-23T01:32:32.6209813Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6209888Z import torch
2022-11-23T01:32:32.6209963Z import random
2022-11-23T01:32:32.6210078Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6210204Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6210209Z 
2022-11-23T01:32:32.6210292Z aten = torch.ops.aten
2022-11-23T01:32:32.6210433Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6210531Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6210537Z 
2022-11-23T01:32:32.6210612Z import triton
2022-11-23T01:32:32.6210705Z import triton.language as tl
2022-11-23T01:32:32.6210827Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6210971Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6210978Z 
2022-11-23T01:32:32.6210983Z 
2022-11-23T01:32:32.6211227Z triton_fused_mul_3_mul_mul_1_add_add_1_add_3_mul_4_add_2_mul_2_reciprocal0 = async_compile.triton('''
2022-11-23T01:32:32.6211303Z import triton
2022-11-23T01:32:32.6211395Z import triton.language as tl
2022-11-23T01:32:32.6211511Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6211614Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6211751Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6211873Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6211885Z 
2022-11-23T01:32:32.6212289Z @pointwise(size_hints=[2097152], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: '*fp16', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3, 4), equal_to_1=())]})
2022-11-23T01:32:32.6212363Z @triton.jit
2022-11-23T01:32:32.6212516Z def kernel(in_ptr0, in_ptr1, in_ptr2, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6212595Z     xnumel = 1082016
2022-11-23T01:32:32.6212698Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6212853Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6212944Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6213026Z     x2 = xindex
2022-11-23T01:32:32.6213102Z     x0 = xindex % 26
2022-11-23T01:32:32.6213222Z     tmp0 = tl.load(in_ptr0 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:32.6213342Z     tmp8 = tl.load(in_ptr1 + (x2), xmask).to(tl.float32)
2022-11-23T01:32:32.6213460Z     tmp15 = tl.load(in_ptr2 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6213585Z     tmp1 = -1.061519070296458e-11
2022-11-23T01:32:32.6213664Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.6213778Z     tmp3 = -1.988366587925593e-08
2022-11-23T01:32:32.6213858Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6213936Z     tmp5 = tmp0 * tmp4
2022-11-23T01:32:32.6214057Z     tmp6 = -3.087032500374211e-07
2022-11-23T01:32:32.6214143Z     tmp7 = tmp5 + tmp6
2022-11-23T01:32:32.6214262Z     tmp9 = 1.55093272922008e-10
2022-11-23T01:32:32.6214343Z     tmp10 = tmp8 * tmp9
2022-11-23T01:32:32.6214418Z     tmp11 = tmp7 + tmp10
2022-11-23T01:32:32.6214494Z     tmp12 = 1 / tmp11
2022-11-23T01:32:32.6214566Z     tmp13 = 1.0
2022-11-23T01:32:32.6214646Z     tmp14 = tmp12 * tmp13
2022-11-23T01:32:32.6214726Z     tmp16 = tmp11 * tmp15
2022-11-23T01:32:32.6214805Z     tmp17 = tmp14 + tmp16
2022-11-23T01:32:32.6214945Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp17, xmask)
2022-11-23T01:32:32.6215025Z ''')
2022-11-23T01:32:32.6215030Z 
2022-11-23T01:32:32.6215035Z 
2022-11-23T01:32:32.6215159Z async_compile.wait(globals())
2022-11-23T01:32:32.6215238Z del async_compile
2022-11-23T01:32:32.6215243Z 
2022-11-23T01:32:32.6215321Z def call(args):
2022-11-23T01:32:32.6215409Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:32.6215485Z     args.clear()
2022-11-23T01:32:32.6215702Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6215811Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6216018Z     triton_fused_mul_3_mul_mul_1_add_add_1_add_3_mul_4_add_2_mul_2_reciprocal0.run(arg1_1, arg0_1, arg2_1, buf0, 1082016, grid=grid(1082016), stream=stream0)
2022-11-23T01:32:32.6216091Z     del arg0_1
2022-11-23T01:32:32.6216163Z     del arg1_1
2022-11-23T01:32:32.6216236Z     del arg2_1
2022-11-23T01:32:32.6216312Z     return (buf0, )
2022-11-23T01:32:32.6216317Z 
2022-11-23T01:32:32.6216322Z 
2022-11-23T01:32:32.6216403Z if __name__ == "__main__":
2022-11-23T01:32:32.6216524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6216648Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6216865Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6217078Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6217276Z     arg2_1 = rand_strided((26, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6217406Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:32.6217411Z 
2022-11-23T01:32:32.6217482Z ok (0.278s)
2022-11-23T01:32:32.6217786Z   test_views1_cuda (__main__.CudaTests) ... [2022-11-23 01:30:51,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6218099Z [2022-11-23 01:30:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6218326Z [2022-11-23 01:30:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6218575Z [2022-11-23 01:30:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6219048Z [2022-11-23 01:30:51,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6219376Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6219718Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6220044Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6220424Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6220523Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6220624Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6220724Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6220814Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6220911Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6220990Z              10 BINARY_ADD
2022-11-23T01:32:32.6221085Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6221166Z              14 RETURN_VALUE
2022-11-23T01:32:32.6221232Z  
2022-11-23T01:32:32.6221238Z 
2022-11-23T01:32:32.6221549Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6221762Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6222062Z [2022-11-23 01:30:51,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6222345Z [2022-11-23 01:30:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6222680Z [2022-11-23 01:30:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6222918Z [2022-11-23 01:30:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6223193Z [2022-11-23 01:30:51,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6223440Z [2022-11-23 01:30:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6223689Z [2022-11-23 01:30:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6224070Z [2022-11-23 01:30:51,557] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6224322Z [2022-11-23 01:30:51,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6224563Z [2022-11-23 01:30:51,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6224816Z [2022-11-23 01:30:51,558] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6225070Z [2022-11-23 01:30:51,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6225265Z [2022-11-23 01:30:51,561] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6225408Z  __compiled_fn_836 <eval_with_key>.5146 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6225502Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6225598Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6225703Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T01:32:32.6225879Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6225980Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6225988Z 
2022-11-23T01:32:32.6226318Z [2022-11-23 01:30:51,561] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6226420Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6226518Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6226611Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6226710Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6226803Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6226890Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6226973Z              12 RETURN_VALUE
2022-11-23T01:32:32.6226983Z 
2022-11-23T01:32:32.6227049Z  
2022-11-23T01:32:32.6227372Z [2022-11-23 01:30:51,561] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6227492Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_836)
2022-11-23T01:32:32.6227594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6227691Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6227774Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6227862Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6227957Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6228038Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6228132Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6228245Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6228412Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6228519Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6228605Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6228709Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6228816Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6228934Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6229016Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6229111Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6229211Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6229318Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6229406Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6229486Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6229596Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6229695Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6229803Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6229898Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6229978Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6230079Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6230164Z              54 RETURN_VALUE
2022-11-23T01:32:32.6230169Z 
2022-11-23T01:32:32.6230234Z  
2022-11-23T01:32:32.6230539Z [2022-11-23 01:30:51,563] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6230619Z  - 
2022-11-23T01:32:32.6230744Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6230814Z             {
2022-11-23T01:32:32.6230956Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6231148Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6231273Z                 'obj_weakref': None
2022-11-23T01:32:32.6231501Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6231573Z             }
2022-11-23T01:32:32.6231642Z             
2022-11-23T01:32:32.6231717Z  - 
2022-11-23T01:32:32.6231839Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6231909Z             {
2022-11-23T01:32:32.6232055Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6232170Z                 'code': None,
2022-11-23T01:32:32.6232385Z                 'obj_weakref': <weakref at 0x7f1ffadbcbd0; to 'Tensor' at 0x7f1f25e74680>
2022-11-23T01:32:32.6232635Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6232704Z             }
2022-11-23T01:32:32.6232765Z             
2022-11-23T01:32:32.6232841Z  - 
2022-11-23T01:32:32.6232968Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6233037Z             {
2022-11-23T01:32:32.6233186Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6233298Z                 'code': None,
2022-11-23T01:32:32.6233515Z                 'obj_weakref': <weakref at 0x7f1ffadbfe20; to 'Tensor' at 0x7f1f36106250>
2022-11-23T01:32:32.6233762Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6233831Z             }
2022-11-23T01:32:32.6233902Z             
2022-11-23T01:32:32.6233978Z  - 
2022-11-23T01:32:32.6234116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6234185Z             {
2022-11-23T01:32:32.6234324Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6234492Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6234616Z                 'obj_weakref': None
2022-11-23T01:32:32.6234847Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6234915Z             }
2022-11-23T01:32:32.6234984Z             
2022-11-23T01:32:32.6235060Z  - 
2022-11-23T01:32:32.6235228Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6235291Z             {
2022-11-23T01:32:32.6235434Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6235656Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6235801Z                 'obj_weakref': None
2022-11-23T01:32:32.6236028Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6236097Z             }
2022-11-23T01:32:32.6236164Z             
2022-11-23T01:32:32.6236233Z  - 
2022-11-23T01:32:32.6236418Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6236487Z             {
2022-11-23T01:32:32.6236662Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6237193Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:32.6237318Z                 'obj_weakref': None
2022-11-23T01:32:32.6237544Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6237617Z             }
2022-11-23T01:32:32.6237677Z             
2022-11-23T01:32:32.6237752Z  - 
2022-11-23T01:32:32.6237942Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6238015Z             {
2022-11-23T01:32:32.6238162Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6238446Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:32.6238570Z                 'obj_weakref': None
2022-11-23T01:32:32.6238786Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6238856Z             }
2022-11-23T01:32:32.6238924Z             
2022-11-23T01:32:32.6239000Z  - 
2022-11-23T01:32:32.6239192Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6239260Z             {
2022-11-23T01:32:32.6239412Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6239690Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:32.6239815Z                 'obj_weakref': None
2022-11-23T01:32:32.6240037Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6240106Z             }
2022-11-23T01:32:32.6240174Z             
2022-11-23T01:32:32.6240442Z [2022-11-23 01:30:51,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 818
2022-11-23T01:32:32.6240696Z [2022-11-23 01:30:51,572] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6241059Z [2022-11-23 01:30:51,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n4/cn4w5rxhkhdag4yjt377j73mjnuirxfriogwa73afjfp5ofixqk3.py
2022-11-23T01:32:32.6241327Z [2022-11-23 01:30:51,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 818
2022-11-23T01:32:32.6241564Z [2022-11-23 01:30:51,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6241882Z [2022-11-23 01:30:51,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6242107Z [2022-11-23 01:30:51,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6242366Z [2022-11-23 01:30:51,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6242679Z [2022-11-23 01:30:51,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6243043Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6243427Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6243753Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6244131Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6244230Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6244326Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6244428Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6244522Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6244618Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6244697Z              10 BINARY_ADD
2022-11-23T01:32:32.6244794Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6244875Z              14 RETURN_VALUE
2022-11-23T01:32:32.6244934Z  
2022-11-23T01:32:32.6244939Z 
2022-11-23T01:32:32.6245257Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6245475Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6245723Z [2022-11-23 01:30:51,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6246011Z [2022-11-23 01:30:51,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6246315Z [2022-11-23 01:30:51,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6246555Z [2022-11-23 01:30:51,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6246834Z [2022-11-23 01:30:51,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6247081Z [2022-11-23 01:30:51,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6247324Z [2022-11-23 01:30:51,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6247700Z [2022-11-23 01:30:51,642] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6247953Z [2022-11-23 01:30:51,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6248191Z [2022-11-23 01:30:51,642] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6248452Z [2022-11-23 01:30:51,644] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6248708Z [2022-11-23 01:30:51,646] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6248903Z [2022-11-23 01:30:51,647] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6249047Z  __compiled_fn_837 <eval_with_key>.5152 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6249143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6249229Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6249336Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T01:32:32.6249548Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6249650Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6249655Z 
2022-11-23T01:32:32.6249984Z [2022-11-23 01:30:51,647] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6250106Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6250203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6250295Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6250388Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6250480Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6250575Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6250656Z              12 RETURN_VALUE
2022-11-23T01:32:32.6250662Z 
2022-11-23T01:32:32.6250727Z  
2022-11-23T01:32:32.6251053Z [2022-11-23 01:30:51,647] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6251172Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_837)
2022-11-23T01:32:32.6251269Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6251359Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6251446Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6251541Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6251636Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6251717Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6251811Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6251923Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6252056Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6252160Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6252253Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6252358Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6252468Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6252563Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6252645Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6252735Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6252854Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6252971Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6253085Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6253165Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6253274Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6253371Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6253467Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6253562Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6253642Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6253752Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6253833Z              54 RETURN_VALUE
2022-11-23T01:32:32.6253839Z 
2022-11-23T01:32:32.6253905Z  
2022-11-23T01:32:32.6254097Z [2022-11-23 01:30:51,648] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6254176Z  - 
2022-11-23T01:32:32.6254292Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6254361Z             {
2022-11-23T01:32:32.6254507Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6254697Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6254820Z                 'obj_weakref': None
2022-11-23T01:32:32.6255045Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6255114Z             }
2022-11-23T01:32:32.6255176Z             
2022-11-23T01:32:32.6255252Z  - 
2022-11-23T01:32:32.6255380Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6255481Z             {
2022-11-23T01:32:32.6255629Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6255741Z                 'code': None,
2022-11-23T01:32:32.6255954Z                 'obj_weakref': <weakref at 0x7f1f25aa8f40; to 'Tensor' at 0x7f1ffad47100>
2022-11-23T01:32:32.6256220Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6256289Z             }
2022-11-23T01:32:32.6256358Z             
2022-11-23T01:32:32.6256433Z  - 
2022-11-23T01:32:32.6256560Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6256630Z             {
2022-11-23T01:32:32.6256772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6256884Z                 'code': None,
2022-11-23T01:32:32.6257099Z                 'obj_weakref': <weakref at 0x7f1f25ef7740; to 'Tensor' at 0x7f21279b8ae0>
2022-11-23T01:32:32.6257356Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6257424Z             }
2022-11-23T01:32:32.6257492Z             
2022-11-23T01:32:32.6257571Z  - 
2022-11-23T01:32:32.6257707Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6257769Z             {
2022-11-23T01:32:32.6257911Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6258087Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6258213Z                 'obj_weakref': None
2022-11-23T01:32:32.6258445Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6258513Z             }
2022-11-23T01:32:32.6258581Z             
2022-11-23T01:32:32.6258650Z  - 
2022-11-23T01:32:32.6258963Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6259038Z             {
2022-11-23T01:32:32.6259183Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6259410Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6259534Z                 'obj_weakref': None
2022-11-23T01:32:32.6259760Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6259822Z             }
2022-11-23T01:32:32.6259893Z             
2022-11-23T01:32:32.6259972Z  - 
2022-11-23T01:32:32.6260157Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6260228Z             {
2022-11-23T01:32:32.6260403Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6260932Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:32.6261057Z                 'obj_weakref': None
2022-11-23T01:32:32.6261278Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6261350Z             }
2022-11-23T01:32:32.6261419Z             
2022-11-23T01:32:32.6261495Z  - 
2022-11-23T01:32:32.6261685Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6261757Z             {
2022-11-23T01:32:32.6261906Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6262185Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:32.6262309Z                 'obj_weakref': None
2022-11-23T01:32:32.6262534Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6262604Z             }
2022-11-23T01:32:32.6262672Z             
2022-11-23T01:32:32.6262749Z  - 
2022-11-23T01:32:32.6262987Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6263051Z             {
2022-11-23T01:32:32.6263199Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6263480Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:32.6263631Z                 'obj_weakref': None
2022-11-23T01:32:32.6263852Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6263922Z             }
2022-11-23T01:32:32.6263991Z             
2022-11-23T01:32:32.6264249Z [2022-11-23 01:30:51,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 819
2022-11-23T01:32:32.6264502Z [2022-11-23 01:30:51,657] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6264870Z [2022-11-23 01:30:51,720] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bo/cbopxy5qg6z27ha5jbua3smqgijpbqqmwqrdaflrsoaz4hxwjqwf.py
2022-11-23T01:32:32.6265140Z [2022-11-23 01:30:51,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 819
2022-11-23T01:32:32.6265382Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6265703Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6265930Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6266189Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6266473Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6266797Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6267137Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6267466Z [2022-11-23 01:30:51,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6267841Z [2022-11-23 01:30:51,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6267940Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6268039Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6268118Z               4 BINARY_ADD
2022-11-23T01:32:32.6268217Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6268319Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6268411Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6268501Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6268578Z              14 BINARY_ADD
2022-11-23T01:32:32.6268673Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6268758Z              18 RETURN_VALUE
2022-11-23T01:32:32.6268824Z  
2022-11-23T01:32:32.6268829Z 
2022-11-23T01:32:32.6269146Z [2022-11-23 01:30:51,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6269362Z [2022-11-23 01:30:51,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6269598Z [2022-11-23 01:30:51,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6269884Z [2022-11-23 01:30:51,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6270169Z [2022-11-23 01:30:51,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6270552Z [2022-11-23 01:30:51,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6270931Z [2022-11-23 01:30:51,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6271177Z [2022-11-23 01:30:51,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6271453Z [2022-11-23 01:30:51,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6271700Z [2022-11-23 01:30:51,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6271949Z [2022-11-23 01:30:51,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6272333Z [2022-11-23 01:30:51,728] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6272575Z [2022-11-23 01:30:51,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6272816Z [2022-11-23 01:30:51,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6273077Z [2022-11-23 01:30:51,729] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6273331Z [2022-11-23 01:30:51,732] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6273526Z [2022-11-23 01:30:51,732] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6273668Z  __compiled_fn_838 <eval_with_key>.5158 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6273762Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6273858Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6274029Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6274132Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T01:32:32.6274317Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6274422Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6274427Z 
2022-11-23T01:32:32.6274757Z [2022-11-23 01:30:51,733] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6274859Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6274957Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6275049Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6275143Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6275236Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6275335Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6275416Z              12 RETURN_VALUE
2022-11-23T01:32:32.6275421Z 
2022-11-23T01:32:32.6275486Z  
2022-11-23T01:32:32.6275808Z [2022-11-23 01:30:51,733] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6275929Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_838)
2022-11-23T01:32:32.6276026Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6276115Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6276197Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6276292Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6276386Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6276467Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6276562Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6276675Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6276842Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6276947Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6277042Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6277144Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6277278Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6277374Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6277456Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6277542Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6277640Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6277745Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6277841Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6277922Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6278031Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6278131Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6278235Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6278323Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6278403Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6278514Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6278595Z              54 RETURN_VALUE
2022-11-23T01:32:32.6278601Z 
2022-11-23T01:32:32.6278666Z  
2022-11-23T01:32:32.6278857Z [2022-11-23 01:30:51,734] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6278933Z  - 
2022-11-23T01:32:32.6279049Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6279119Z             {
2022-11-23T01:32:32.6279265Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6279455Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6279578Z                 'obj_weakref': None
2022-11-23T01:32:32.6279806Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6279877Z             }
2022-11-23T01:32:32.6279938Z             
2022-11-23T01:32:32.6280014Z  - 
2022-11-23T01:32:32.6280142Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6286561Z             {
2022-11-23T01:32:32.6286755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6286871Z                 'code': None,
2022-11-23T01:32:32.6287091Z                 'obj_weakref': <weakref at 0x7f1fd8c82520; to 'Tensor' at 0x7f21279b8ae0>
2022-11-23T01:32:32.6287339Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6287410Z             }
2022-11-23T01:32:32.6287479Z             
2022-11-23T01:32:32.6287556Z  - 
2022-11-23T01:32:32.6287685Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6287755Z             {
2022-11-23T01:32:32.6287908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6288014Z                 'code': None,
2022-11-23T01:32:32.6288229Z                 'obj_weakref': <weakref at 0x7f1fd8c832e0; to 'Tensor' at 0x7f1f25ef7b50>
2022-11-23T01:32:32.6288479Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6288553Z             }
2022-11-23T01:32:32.6288621Z             
2022-11-23T01:32:32.6288699Z  - 
2022-11-23T01:32:32.6288836Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6288899Z             {
2022-11-23T01:32:32.6289039Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6289215Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6289339Z                 'obj_weakref': None
2022-11-23T01:32:32.6289570Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6289639Z             }
2022-11-23T01:32:32.6289708Z             
2022-11-23T01:32:32.6289834Z  - 
2022-11-23T01:32:32.6289962Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6290032Z             {
2022-11-23T01:32:32.6290173Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6290393Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6290543Z                 'obj_weakref': None
2022-11-23T01:32:32.6290769Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6290831Z             }
2022-11-23T01:32:32.6290900Z             
2022-11-23T01:32:32.6290978Z  - 
2022-11-23T01:32:32.6291161Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6291231Z             {
2022-11-23T01:32:32.6291403Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6291920Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:32.6292045Z                 'obj_weakref': None
2022-11-23T01:32:32.6292262Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6292332Z             }
2022-11-23T01:32:32.6292403Z             
2022-11-23T01:32:32.6292480Z  - 
2022-11-23T01:32:32.6292666Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6292747Z             {
2022-11-23T01:32:32.6292916Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6293207Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:32.6293332Z                 'obj_weakref': None
2022-11-23T01:32:32.6293555Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6293624Z             }
2022-11-23T01:32:32.6293694Z             
2022-11-23T01:32:32.6293771Z  - 
2022-11-23T01:32:32.6293958Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6294024Z             {
2022-11-23T01:32:32.6294171Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6294448Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:32.6294571Z                 'obj_weakref': None
2022-11-23T01:32:32.6294788Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6294857Z             }
2022-11-23T01:32:32.6294926Z             
2022-11-23T01:32:32.6295193Z [2022-11-23 01:30:51,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 820
2022-11-23T01:32:32.6295438Z [2022-11-23 01:30:51,744] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6295799Z [2022-11-23 01:30:51,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm26h3bb2xvhkrxshnymqsd2buao53k2i2t7k4zyeyeritlegewj.py
2022-11-23T01:32:32.6296077Z [2022-11-23 01:30:51,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 820
2022-11-23T01:32:32.6296321Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6296641Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6296864Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6297157Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6297443Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6297766Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6298136Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6298456Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6299047Z [2022-11-23 01:30:51,811] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6299155Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6299255Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6299335Z               4 BINARY_ADD
2022-11-23T01:32:32.6299438Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6299537Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6299637Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6299728Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6299807Z              14 BINARY_ADD
2022-11-23T01:32:32.6299904Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6299987Z              18 RETURN_VALUE
2022-11-23T01:32:32.6300054Z  
2022-11-23T01:32:32.6300060Z 
2022-11-23T01:32:32.6300376Z [2022-11-23 01:30:51,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6300591Z [2022-11-23 01:30:51,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6300838Z [2022-11-23 01:30:51,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6301113Z [2022-11-23 01:30:51,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6301356Z [2022-11-23 01:30:51,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6301636Z [2022-11-23 01:30:51,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6301937Z [2022-11-23 01:30:51,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6302177Z [2022-11-23 01:30:51,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6302451Z [2022-11-23 01:30:51,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6302698Z [2022-11-23 01:30:51,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6302946Z [2022-11-23 01:30:51,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6303320Z [2022-11-23 01:30:51,814] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6303566Z [2022-11-23 01:30:51,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6303795Z [2022-11-23 01:30:51,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6304059Z [2022-11-23 01:30:51,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6304361Z [2022-11-23 01:30:51,819] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6304557Z [2022-11-23 01:30:51,819] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6304700Z  __compiled_fn_839 <eval_with_key>.5164 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6304796Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6304918Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6305094Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6305191Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T01:32:32.6305376Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6305478Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6305484Z 
2022-11-23T01:32:32.6305811Z [2022-11-23 01:30:51,820] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6305912Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6306013Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6306108Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6306209Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6306296Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6306395Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6306481Z              12 RETURN_VALUE
2022-11-23T01:32:32.6306486Z 
2022-11-23T01:32:32.6306552Z  
2022-11-23T01:32:32.6306869Z [2022-11-23 01:30:51,820] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6306986Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_839)
2022-11-23T01:32:32.6307085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6307176Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6307259Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6307355Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6307453Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6307536Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6307631Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6307743Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6307877Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6307982Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6308076Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6308178Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6308286Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6308383Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6308465Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6308561Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6308653Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6308761Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6308857Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6308938Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6309048Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6309149Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6309252Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6309341Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6309423Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6309532Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6309614Z              54 RETURN_VALUE
2022-11-23T01:32:32.6309619Z 
2022-11-23T01:32:32.6309686Z  
2022-11-23T01:32:32.6309875Z [2022-11-23 01:30:51,821] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6309952Z  - 
2022-11-23T01:32:32.6310070Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6310193Z             {
2022-11-23T01:32:32.6310442Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6310663Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6310812Z                 'obj_weakref': None
2022-11-23T01:32:32.6311646Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6311726Z             }
2022-11-23T01:32:32.6311790Z             
2022-11-23T01:32:32.6311868Z  - 
2022-11-23T01:32:32.6311999Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6312070Z             {
2022-11-23T01:32:32.6312218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6312332Z                 'code': None,
2022-11-23T01:32:32.6312548Z                 'obj_weakref': <weakref at 0x7f1fe812e660; to 'Tensor' at 0x7f1f25eab3d0>
2022-11-23T01:32:32.6312792Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6312866Z             }
2022-11-23T01:32:32.6312936Z             
2022-11-23T01:32:32.6313013Z  - 
2022-11-23T01:32:32.6313148Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6313218Z             {
2022-11-23T01:32:32.6313367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6313476Z                 'code': None,
2022-11-23T01:32:32.6313690Z                 'obj_weakref': <weakref at 0x7f1fe812dad0; to 'Tensor' at 0x7f1ffadbf9c0>
2022-11-23T01:32:32.6313941Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6314010Z             }
2022-11-23T01:32:32.6314083Z             
2022-11-23T01:32:32.6314159Z  - 
2022-11-23T01:32:32.6314293Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6314356Z             {
2022-11-23T01:32:32.6314495Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6314672Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6314797Z                 'obj_weakref': None
2022-11-23T01:32:32.6315033Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6315102Z             }
2022-11-23T01:32:32.6315171Z             
2022-11-23T01:32:32.6315243Z  - 
2022-11-23T01:32:32.6315368Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6315439Z             {
2022-11-23T01:32:32.6315580Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6315798Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6315921Z                 'obj_weakref': None
2022-11-23T01:32:32.6316144Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6316207Z             }
2022-11-23T01:32:32.6316275Z             
2022-11-23T01:32:32.6316352Z  - 
2022-11-23T01:32:32.6316535Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6316604Z             {
2022-11-23T01:32:32.6316776Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6317297Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:32.6317424Z                 'obj_weakref': None
2022-11-23T01:32:32.6317640Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6317710Z             }
2022-11-23T01:32:32.6317777Z             
2022-11-23T01:32:32.6317854Z  - 
2022-11-23T01:32:32.6318042Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6318112Z             {
2022-11-23T01:32:32.6318296Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6318570Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:32.6318696Z                 'obj_weakref': None
2022-11-23T01:32:32.6318940Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6319009Z             }
2022-11-23T01:32:32.6319081Z             
2022-11-23T01:32:32.6319158Z  - 
2022-11-23T01:32:32.6319344Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6319406Z             {
2022-11-23T01:32:32.6319553Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6319831Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:32.6319954Z                 'obj_weakref': None
2022-11-23T01:32:32.6320178Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6320248Z             }
2022-11-23T01:32:32.6320317Z             
2022-11-23T01:32:32.6320581Z [2022-11-23 01:30:51,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 821
2022-11-23T01:32:32.6320827Z [2022-11-23 01:30:51,831] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6320843Z 
2022-11-23T01:32:32.6320938Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6321013Z import torch
2022-11-23T01:32:32.6321088Z import random
2022-11-23T01:32:32.6321210Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6321337Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6321342Z 
2022-11-23T01:32:32.6321427Z aten = torch.ops.aten
2022-11-23T01:32:32.6321568Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6321659Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6321667Z 
2022-11-23T01:32:32.6321741Z import triton
2022-11-23T01:32:32.6321834Z import triton.language as tl
2022-11-23T01:32:32.6321961Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6322106Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6322114Z 
2022-11-23T01:32:32.6322118Z 
2022-11-23T01:32:32.6322281Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6322356Z import triton
2022-11-23T01:32:32.6322449Z import triton.language as tl
2022-11-23T01:32:32.6322558Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6322662Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6322803Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6322954Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6322961Z 
2022-11-23T01:32:32.6323376Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6323450Z @triton.jit
2022-11-23T01:32:32.6323595Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6323669Z     xnumel = 35
2022-11-23T01:32:32.6323763Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6323896Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6323980Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6324052Z     x0 = xindex
2022-11-23T01:32:32.6324151Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6324249Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6324322Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6324461Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6324549Z ''')
2022-11-23T01:32:32.6324555Z 
2022-11-23T01:32:32.6324559Z 
2022-11-23T01:32:32.6324654Z async_compile.wait(globals())
2022-11-23T01:32:32.6324778Z del async_compile
2022-11-23T01:32:32.6324784Z 
2022-11-23T01:32:32.6324861Z def call(args):
2022-11-23T01:32:32.6324942Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6325020Z     args.clear()
2022-11-23T01:32:32.6325213Z     buf0 = empty_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6325325Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6325475Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.6325548Z     del arg0_1
2022-11-23T01:32:32.6325621Z     del arg1_1
2022-11-23T01:32:32.6325698Z     return (buf0, )
2022-11-23T01:32:32.6325703Z 
2022-11-23T01:32:32.6325707Z 
2022-11-23T01:32:32.6325787Z if __name__ == "__main__":
2022-11-23T01:32:32.6325908Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6326032Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6326232Z     arg0_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6326434Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6326556Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6326561Z 
2022-11-23T01:32:32.6326566Z 
2022-11-23T01:32:32.6326665Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6326741Z import torch
2022-11-23T01:32:32.6326817Z import random
2022-11-23T01:32:32.6326931Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6327055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6327060Z 
2022-11-23T01:32:32.6327143Z aten = torch.ops.aten
2022-11-23T01:32:32.6327285Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6327383Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6327388Z 
2022-11-23T01:32:32.6327462Z import triton
2022-11-23T01:32:32.6327556Z import triton.language as tl
2022-11-23T01:32:32.6327685Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6327824Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6327830Z 
2022-11-23T01:32:32.6327842Z 
2022-11-23T01:32:32.6327998Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6328074Z import triton
2022-11-23T01:32:32.6328171Z import triton.language as tl
2022-11-23T01:32:32.6328286Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6328390Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6328526Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6328652Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6328658Z 
2022-11-23T01:32:32.6329033Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6329108Z @triton.jit
2022-11-23T01:32:32.6329256Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6329331Z     xnumel = 35
2022-11-23T01:32:32.6329429Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6329564Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6329650Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6329725Z     x0 = xindex
2022-11-23T01:32:32.6329839Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6329959Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6330042Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6330179Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6330267Z ''')
2022-11-23T01:32:32.6330272Z 
2022-11-23T01:32:32.6330277Z 
2022-11-23T01:32:32.6330371Z async_compile.wait(globals())
2022-11-23T01:32:32.6330451Z del async_compile
2022-11-23T01:32:32.6330456Z 
2022-11-23T01:32:32.6330526Z def call(args):
2022-11-23T01:32:32.6330606Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6330714Z     args.clear()
2022-11-23T01:32:32.6330914Z     buf0 = empty_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6331006Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6331159Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.6331255Z     del arg0_1
2022-11-23T01:32:32.6331322Z     del arg1_1
2022-11-23T01:32:32.6331401Z     return (buf0, )
2022-11-23T01:32:32.6331406Z 
2022-11-23T01:32:32.6331410Z 
2022-11-23T01:32:32.6331491Z if __name__ == "__main__":
2022-11-23T01:32:32.6331613Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6331742Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6331946Z     arg0_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6332143Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6332264Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6332272Z 
2022-11-23T01:32:32.6332276Z 
2022-11-23T01:32:32.6332376Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6332444Z import torch
2022-11-23T01:32:32.6332520Z import random
2022-11-23T01:32:32.6332642Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6332787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6332793Z 
2022-11-23T01:32:32.6332885Z aten = torch.ops.aten
2022-11-23T01:32:32.6333048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6333145Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6333150Z 
2022-11-23T01:32:32.6333218Z import triton
2022-11-23T01:32:32.6333311Z import triton.language as tl
2022-11-23T01:32:32.6333439Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6333581Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6333586Z 
2022-11-23T01:32:32.6333591Z 
2022-11-23T01:32:32.6333767Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.6333843Z import triton
2022-11-23T01:32:32.6333936Z import triton.language as tl
2022-11-23T01:32:32.6334052Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6334149Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6334287Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6334414Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6334419Z 
2022-11-23T01:32:32.6334802Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6334875Z @triton.jit
2022-11-23T01:32:32.6335019Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6335093Z     xnumel = 35
2022-11-23T01:32:32.6335190Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6335319Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6335404Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6335477Z     x0 = xindex
2022-11-23T01:32:32.6335577Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6335675Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6335748Z     tmp1 = 1
2022-11-23T01:32:32.6335828Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6335901Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6336047Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6336133Z ''')
2022-11-23T01:32:32.6336138Z 
2022-11-23T01:32:32.6336143Z 
2022-11-23T01:32:32.6336235Z async_compile.wait(globals())
2022-11-23T01:32:32.6336312Z del async_compile
2022-11-23T01:32:32.6336317Z 
2022-11-23T01:32:32.6336393Z def call(args):
2022-11-23T01:32:32.6336473Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6336542Z     args.clear()
2022-11-23T01:32:32.6336741Z     buf0 = empty_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6336861Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6337016Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.6337089Z     del arg0_1
2022-11-23T01:32:32.6337162Z     del arg1_1
2022-11-23T01:32:32.6337268Z     return (buf0, )
2022-11-23T01:32:32.6337273Z 
2022-11-23T01:32:32.6337278Z 
2022-11-23T01:32:32.6337358Z if __name__ == "__main__":
2022-11-23T01:32:32.6337472Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6337600Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6337797Z     arg0_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6337993Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6338113Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6338119Z 
2022-11-23T01:32:32.6338480Z [2022-11-23 01:30:51,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ru/cru56sxnwb2vt36y7cj4zs4p4bmsgoahpoj3qvbxbmy2esg2ce4n.py
2022-11-23T01:32:32.6338745Z [2022-11-23 01:30:51,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 821
2022-11-23T01:32:32.6339190Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6339505Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6339725Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6339979Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6340258Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6340580Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6340924Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6341246Z [2022-11-23 01:30:51,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6341620Z [2022-11-23 01:30:51,912] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6341719Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6341821Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6341914Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6342007Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6342109Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6342188Z              10 BINARY_ADD
2022-11-23T01:32:32.6342284Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6342365Z              14 RETURN_VALUE
2022-11-23T01:32:32.6342434Z  
2022-11-23T01:32:32.6342440Z 
2022-11-23T01:32:32.6342744Z [2022-11-23 01:30:51,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6342958Z [2022-11-23 01:30:51,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6343202Z [2022-11-23 01:30:51,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6343484Z [2022-11-23 01:30:51,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6343841Z [2022-11-23 01:30:51,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6344081Z [2022-11-23 01:30:51,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6344358Z [2022-11-23 01:30:51,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6344630Z [2022-11-23 01:30:51,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6344881Z [2022-11-23 01:30:51,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6345261Z [2022-11-23 01:30:51,915] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6345504Z [2022-11-23 01:30:51,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6345746Z [2022-11-23 01:30:51,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6346004Z [2022-11-23 01:30:51,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6346259Z [2022-11-23 01:30:51,921] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6346461Z [2022-11-23 01:30:51,921] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6346602Z  __compiled_fn_840 <eval_with_key>.5170 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6346698Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6346792Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6346898Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6347083Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6347183Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6347189Z 
2022-11-23T01:32:32.6347519Z [2022-11-23 01:30:51,921] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6347620Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6347718Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6347814Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6347914Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6347999Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6348095Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6348176Z              12 RETURN_VALUE
2022-11-23T01:32:32.6348181Z 
2022-11-23T01:32:32.6348251Z  
2022-11-23T01:32:32.6348574Z [2022-11-23 01:30:51,922] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6348692Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_840)
2022-11-23T01:32:32.6348791Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6348888Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6348963Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6349059Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6349160Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6349243Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6349335Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6349448Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6349585Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6349682Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6349774Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6349877Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6349985Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6350114Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6350198Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6350371Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6350476Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6350624Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6350733Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6350815Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6350923Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6351021Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6351125Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6351221Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6351295Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6351403Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6351484Z              54 RETURN_VALUE
2022-11-23T01:32:32.6351492Z 
2022-11-23T01:32:32.6351559Z  
2022-11-23T01:32:32.6351750Z [2022-11-23 01:30:51,923] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6351826Z  - 
2022-11-23T01:32:32.6351950Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6352013Z             {
2022-11-23T01:32:32.6352165Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6352355Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6352479Z                 'obj_weakref': None
2022-11-23T01:32:32.6352703Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6352773Z             }
2022-11-23T01:32:32.6352841Z             
2022-11-23T01:32:32.6352909Z  - 
2022-11-23T01:32:32.6353038Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6353106Z             {
2022-11-23T01:32:32.6353254Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6353369Z                 'code': None,
2022-11-23T01:32:32.6353583Z                 'obj_weakref': <weakref at 0x7f20230668e0; to 'Tensor' at 0x7f1f25eab3d0>
2022-11-23T01:32:32.6353833Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6353898Z             }
2022-11-23T01:32:32.6353969Z             
2022-11-23T01:32:32.6354044Z  - 
2022-11-23T01:32:32.6354173Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6354241Z             {
2022-11-23T01:32:32.6354388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6354500Z                 'code': None,
2022-11-23T01:32:32.6354704Z                 'obj_weakref': <weakref at 0x7f2060204220; to 'Tensor' at 0x7f1ffadbf9c0>
2022-11-23T01:32:32.6354952Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6355021Z             }
2022-11-23T01:32:32.6355090Z             
2022-11-23T01:32:32.6355166Z  - 
2022-11-23T01:32:32.6355301Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6355370Z             {
2022-11-23T01:32:32.6355503Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6355679Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6355804Z                 'obj_weakref': None
2022-11-23T01:32:32.6356036Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6356106Z             }
2022-11-23T01:32:32.6356173Z             
2022-11-23T01:32:32.6356250Z  - 
2022-11-23T01:32:32.6356368Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6356437Z             {
2022-11-23T01:32:32.6356577Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6356796Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6356918Z                 'obj_weakref': None
2022-11-23T01:32:32.6357176Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6357246Z             }
2022-11-23T01:32:32.6357308Z             
2022-11-23T01:32:32.6357383Z  - 
2022-11-23T01:32:32.6357564Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6357659Z             {
2022-11-23T01:32:32.6357834Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6358721Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6358850Z                 'obj_weakref': None
2022-11-23T01:32:32.6359075Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6359147Z             }
2022-11-23T01:32:32.6359208Z             
2022-11-23T01:32:32.6359284Z  - 
2022-11-23T01:32:32.6359474Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6359544Z             {
2022-11-23T01:32:32.6359689Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6359966Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6360088Z                 'obj_weakref': None
2022-11-23T01:32:32.6360300Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6360373Z             }
2022-11-23T01:32:32.6360440Z             
2022-11-23T01:32:32.6360517Z  - 
2022-11-23T01:32:32.6360705Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6360774Z             {
2022-11-23T01:32:32.6360920Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6361195Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6361318Z                 'obj_weakref': None
2022-11-23T01:32:32.6361537Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6361605Z             }
2022-11-23T01:32:32.6361674Z             
2022-11-23T01:32:32.6361749Z  - 
2022-11-23T01:32:32.6361934Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6362003Z             {
2022-11-23T01:32:32.6362142Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6362426Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6362548Z                 'obj_weakref': None
2022-11-23T01:32:32.6362770Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6362842Z             }
2022-11-23T01:32:32.6362926Z             
2022-11-23T01:32:32.6363011Z  - 
2022-11-23T01:32:32.6363215Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6363283Z             {
2022-11-23T01:32:32.6363428Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6363707Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6363831Z                 'obj_weakref': None
2022-11-23T01:32:32.6364089Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6364159Z             }
2022-11-23T01:32:32.6364220Z             
2022-11-23T01:32:32.6364296Z  - 
2022-11-23T01:32:32.6364483Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6364577Z             {
2022-11-23T01:32:32.6364722Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6364997Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6365120Z                 'obj_weakref': None
2022-11-23T01:32:32.6365339Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6365401Z             }
2022-11-23T01:32:32.6365469Z             
2022-11-23T01:32:32.6365546Z  - 
2022-11-23T01:32:32.6365732Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6365801Z             {
2022-11-23T01:32:32.6365949Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6366224Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6366339Z                 'obj_weakref': None
2022-11-23T01:32:32.6366556Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6366625Z             }
2022-11-23T01:32:32.6366694Z             
2022-11-23T01:32:32.6366958Z [2022-11-23 01:30:51,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 822
2022-11-23T01:32:32.6367207Z [2022-11-23 01:30:51,943] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6367573Z [2022-11-23 01:30:52,015] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ys/cysyfsqgpp3ncbxmcqjegg4euu676i7gok6lyambkn3a6eehkz5o.py
2022-11-23T01:32:32.6367842Z [2022-11-23 01:30:52,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 822
2022-11-23T01:32:32.6368075Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6368388Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6368612Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6368867Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6369144Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6369462Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6369812Z [2022-11-23 01:30:52,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6370137Z [2022-11-23 01:30:52,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6370518Z [2022-11-23 01:30:52,019] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6370617Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6370712Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6370811Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6370904Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6371002Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6371080Z              10 BINARY_ADD
2022-11-23T01:32:32.6371215Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6371299Z              14 RETURN_VALUE
2022-11-23T01:32:32.6371359Z  
2022-11-23T01:32:32.6371364Z 
2022-11-23T01:32:32.6371677Z [2022-11-23 01:30:52,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6371912Z [2022-11-23 01:30:52,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6372156Z [2022-11-23 01:30:52,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6372441Z [2022-11-23 01:30:52,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6372759Z [2022-11-23 01:30:52,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6373042Z [2022-11-23 01:30:52,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6373318Z [2022-11-23 01:30:52,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6373564Z [2022-11-23 01:30:52,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6373816Z [2022-11-23 01:30:52,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6374189Z [2022-11-23 01:30:52,022] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6374441Z [2022-11-23 01:30:52,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6374680Z [2022-11-23 01:30:52,022] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6374941Z [2022-11-23 01:30:52,023] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6375194Z [2022-11-23 01:30:52,026] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6375391Z [2022-11-23 01:30:52,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6375533Z  __compiled_fn_841 <eval_with_key>.5176 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6375628Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6375715Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6375827Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6376012Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6376112Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6376118Z 
2022-11-23T01:32:32.6376449Z [2022-11-23 01:30:52,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6376550Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6376647Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6376741Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6376833Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6376930Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6377025Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6377110Z              12 RETURN_VALUE
2022-11-23T01:32:32.6377116Z 
2022-11-23T01:32:32.6377182Z  
2022-11-23T01:32:32.6377509Z [2022-11-23 01:30:52,027] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6377625Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_841)
2022-11-23T01:32:32.6377722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6377811Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6377920Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6378018Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6378112Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6378192Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6378307Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6378420Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6378550Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6378654Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6378749Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6379044Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6379154Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6379250Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6379334Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6379424Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6379524Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6379632Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6379730Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6379813Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6379924Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6380022Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6380125Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6380212Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6380293Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6380402Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6380484Z              54 RETURN_VALUE
2022-11-23T01:32:32.6380489Z 
2022-11-23T01:32:32.6380555Z  
2022-11-23T01:32:32.6380757Z [2022-11-23 01:30:52,028] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6380835Z  - 
2022-11-23T01:32:32.6380954Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6381025Z             {
2022-11-23T01:32:32.6381176Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6381370Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6381496Z                 'obj_weakref': None
2022-11-23T01:32:32.6381720Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6381789Z             }
2022-11-23T01:32:32.6381852Z             
2022-11-23T01:32:32.6381929Z  - 
2022-11-23T01:32:32.6382059Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6382128Z             {
2022-11-23T01:32:32.6382275Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6382387Z                 'code': None,
2022-11-23T01:32:32.6382603Z                 'obj_weakref': <weakref at 0x7f1f25ecc360; to 'Tensor' at 0x7f1fe812e8e0>
2022-11-23T01:32:32.6382847Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6382917Z             }
2022-11-23T01:32:32.6382986Z             
2022-11-23T01:32:32.6383063Z  - 
2022-11-23T01:32:32.6383195Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6383265Z             {
2022-11-23T01:32:32.6383414Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6383521Z                 'code': None,
2022-11-23T01:32:32.6383736Z                 'obj_weakref': <weakref at 0x7f1f25e75080; to 'Tensor' at 0x7f206814f970>
2022-11-23T01:32:32.6383992Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6384063Z             }
2022-11-23T01:32:32.6384131Z             
2022-11-23T01:32:32.6384207Z  - 
2022-11-23T01:32:32.6384344Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6384407Z             {
2022-11-23T01:32:32.6384596Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6384774Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6384899Z                 'obj_weakref': None
2022-11-23T01:32:32.6385132Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6385237Z             }
2022-11-23T01:32:32.6385307Z             
2022-11-23T01:32:32.6385377Z  - 
2022-11-23T01:32:32.6385505Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6385574Z             {
2022-11-23T01:32:32.6385716Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6385936Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6386062Z                 'obj_weakref': None
2022-11-23T01:32:32.6386287Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6386349Z             }
2022-11-23T01:32:32.6386421Z             
2022-11-23T01:32:32.6386497Z  - 
2022-11-23T01:32:32.6386681Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6386751Z             {
2022-11-23T01:32:32.6386926Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6387825Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6387954Z                 'obj_weakref': None
2022-11-23T01:32:32.6388181Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6388244Z             }
2022-11-23T01:32:32.6388312Z             
2022-11-23T01:32:32.6388388Z  - 
2022-11-23T01:32:32.6388583Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6388652Z             {
2022-11-23T01:32:32.6388801Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6389078Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6389195Z                 'obj_weakref': None
2022-11-23T01:32:32.6389415Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6389485Z             }
2022-11-23T01:32:32.6389553Z             
2022-11-23T01:32:32.6389631Z  - 
2022-11-23T01:32:32.6389821Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6389889Z             {
2022-11-23T01:32:32.6390028Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6390383Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6390531Z                 'obj_weakref': None
2022-11-23T01:32:32.6390782Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6390852Z             }
2022-11-23T01:32:32.6390920Z             
2022-11-23T01:32:32.6390997Z  - 
2022-11-23T01:32:32.6391184Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6391247Z             {
2022-11-23T01:32:32.6391394Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6391708Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6391833Z                 'obj_weakref': None
2022-11-23T01:32:32.6392052Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6392121Z             }
2022-11-23T01:32:32.6392226Z             
2022-11-23T01:32:32.6392297Z  - 
2022-11-23T01:32:32.6392485Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6392556Z             {
2022-11-23T01:32:32.6392703Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6392983Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6393106Z                 'obj_weakref': None
2022-11-23T01:32:32.6393323Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6393386Z             }
2022-11-23T01:32:32.6393456Z             
2022-11-23T01:32:32.6393536Z  - 
2022-11-23T01:32:32.6393724Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6393793Z             {
2022-11-23T01:32:32.6393940Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6394215Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6394334Z                 'obj_weakref': None
2022-11-23T01:32:32.6394553Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6394622Z             }
2022-11-23T01:32:32.6394691Z             
2022-11-23T01:32:32.6394770Z  - 
2022-11-23T01:32:32.6394956Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6395026Z             {
2022-11-23T01:32:32.6395165Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6395442Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6395567Z                 'obj_weakref': None
2022-11-23T01:32:32.6395786Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6395863Z             }
2022-11-23T01:32:32.6395933Z             
2022-11-23T01:32:32.6396197Z [2022-11-23 01:30:52,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 823
2022-11-23T01:32:32.6396448Z [2022-11-23 01:30:52,039] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6396804Z [2022-11-23 01:30:52,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hb/chbm7xet7bxgkrw4e2cwerrbpevcymhe6snee4mv37ejfq5daiyh.py
2022-11-23T01:32:32.6397073Z [2022-11-23 01:30:52,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 823
2022-11-23T01:32:32.6397314Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6397629Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6397852Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6398107Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6398384Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6398703Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6399077Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6399404Z [2022-11-23 01:30:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6399781Z [2022-11-23 01:30:52,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6399897Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6400001Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6400082Z               4 BINARY_ADD
2022-11-23T01:32:32.6400184Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6400289Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6400383Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6400480Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6400553Z              14 BINARY_ADD
2022-11-23T01:32:32.6400653Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6400737Z              18 RETURN_VALUE
2022-11-23T01:32:32.6400805Z  
2022-11-23T01:32:32.6400812Z 
2022-11-23T01:32:32.6401138Z [2022-11-23 01:30:52,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6401359Z [2022-11-23 01:30:52,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6401605Z [2022-11-23 01:30:52,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6401891Z [2022-11-23 01:30:52,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6402131Z [2022-11-23 01:30:52,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6402444Z [2022-11-23 01:30:52,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6402773Z [2022-11-23 01:30:52,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6403015Z [2022-11-23 01:30:52,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6403297Z [2022-11-23 01:30:52,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6403544Z [2022-11-23 01:30:52,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6403795Z [2022-11-23 01:30:52,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6404174Z [2022-11-23 01:30:52,118] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6404426Z [2022-11-23 01:30:52,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6404665Z [2022-11-23 01:30:52,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6404918Z [2022-11-23 01:30:52,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6405176Z [2022-11-23 01:30:52,123] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6405374Z [2022-11-23 01:30:52,123] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6405519Z  __compiled_fn_842 <eval_with_key>.5182 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6405615Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6405709Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6405889Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6406039Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6406222Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6406328Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6406333Z 
2022-11-23T01:32:32.6406664Z [2022-11-23 01:30:52,123] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6406786Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6406885Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6406980Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6407082Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6407175Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6407265Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6407348Z              12 RETURN_VALUE
2022-11-23T01:32:32.6407353Z 
2022-11-23T01:32:32.6407420Z  
2022-11-23T01:32:32.6407747Z [2022-11-23 01:30:52,124] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6407871Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_842)
2022-11-23T01:32:32.6407969Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6408071Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6408154Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6408244Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6408339Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6408421Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6408518Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6408631Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6408770Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6408875Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6408966Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6409071Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6409180Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6409277Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6409363Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6409458Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6409559Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6409659Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6409755Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6409837Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6409951Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6410051Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6410160Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6410258Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6410333Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6410443Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6410525Z              54 RETURN_VALUE
2022-11-23T01:32:32.6410530Z 
2022-11-23T01:32:32.6410600Z  
2022-11-23T01:32:32.6410791Z [2022-11-23 01:30:52,125] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6410867Z  - 
2022-11-23T01:32:32.6410993Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6411056Z             {
2022-11-23T01:32:32.6411205Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6411401Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6411527Z                 'obj_weakref': None
2022-11-23T01:32:32.6411757Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6411827Z             }
2022-11-23T01:32:32.6411896Z             
2022-11-23T01:32:32.6411996Z  - 
2022-11-23T01:32:32.6412127Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6412197Z             {
2022-11-23T01:32:32.6412353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6412488Z                 'code': None,
2022-11-23T01:32:32.6412778Z                 'obj_weakref': <weakref at 0x7f1f25ee3240; to 'Tensor' at 0x7f1f25ecc130>
2022-11-23T01:32:32.6413031Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6413101Z             }
2022-11-23T01:32:32.6413164Z             
2022-11-23T01:32:32.6413240Z  - 
2022-11-23T01:32:32.6413369Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6413438Z             {
2022-11-23T01:32:32.6413585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6413700Z                 'code': None,
2022-11-23T01:32:32.6413908Z                 'obj_weakref': <weakref at 0x7f1fd8377fb0; to 'Tensor' at 0x7f1f25ecd170>
2022-11-23T01:32:32.6414161Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6414230Z             }
2022-11-23T01:32:32.6414300Z             
2022-11-23T01:32:32.6414377Z  - 
2022-11-23T01:32:32.6414514Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6414585Z             {
2022-11-23T01:32:32.6414718Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6414892Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6415015Z                 'obj_weakref': None
2022-11-23T01:32:32.6415249Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6415320Z             }
2022-11-23T01:32:32.6415388Z             
2022-11-23T01:32:32.6415464Z  - 
2022-11-23T01:32:32.6415584Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6415654Z             {
2022-11-23T01:32:32.6415795Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6416019Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6416144Z                 'obj_weakref': None
2022-11-23T01:32:32.6416370Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6416444Z             }
2022-11-23T01:32:32.6416513Z             
2022-11-23T01:32:32.6416584Z  - 
2022-11-23T01:32:32.6416766Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6416835Z             {
2022-11-23T01:32:32.6417011Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6417906Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6418035Z                 'obj_weakref': None
2022-11-23T01:32:32.6418260Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6418329Z             }
2022-11-23T01:32:32.6418399Z             
2022-11-23T01:32:32.6418469Z  - 
2022-11-23T01:32:32.6418658Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6418729Z             {
2022-11-23T01:32:32.6419067Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6419405Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6419532Z                 'obj_weakref': None
2022-11-23T01:32:32.6419753Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6419816Z             }
2022-11-23T01:32:32.6419885Z             
2022-11-23T01:32:32.6419991Z  - 
2022-11-23T01:32:32.6420182Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6420252Z             {
2022-11-23T01:32:32.6420398Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6420679Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6420796Z                 'obj_weakref': None
2022-11-23T01:32:32.6421015Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6421084Z             }
2022-11-23T01:32:32.6421155Z             
2022-11-23T01:32:32.6421233Z  - 
2022-11-23T01:32:32.6421426Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6421494Z             {
2022-11-23T01:32:32.6421635Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6421916Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6422045Z                 'obj_weakref': None
2022-11-23T01:32:32.6422263Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6422333Z             }
2022-11-23T01:32:32.6422405Z             
2022-11-23T01:32:32.6422481Z  - 
2022-11-23T01:32:32.6422662Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6422733Z             {
2022-11-23T01:32:32.6422880Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6423163Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6423287Z                 'obj_weakref': None
2022-11-23T01:32:32.6423505Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6423580Z             }
2022-11-23T01:32:32.6423648Z             
2022-11-23T01:32:32.6423718Z  - 
2022-11-23T01:32:32.6423905Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6423976Z             {
2022-11-23T01:32:32.6424123Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6424397Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6424519Z                 'obj_weakref': None
2022-11-23T01:32:32.6424738Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6424801Z             }
2022-11-23T01:32:32.6424873Z             
2022-11-23T01:32:32.6424950Z  - 
2022-11-23T01:32:32.6425137Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6425207Z             {
2022-11-23T01:32:32.6425354Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6425632Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6425748Z                 'obj_weakref': None
2022-11-23T01:32:32.6425964Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6426033Z             }
2022-11-23T01:32:32.6426102Z             
2022-11-23T01:32:32.6426372Z [2022-11-23 01:30:52,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 824
2022-11-23T01:32:32.6426627Z [2022-11-23 01:30:52,138] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6426662Z 
2022-11-23T01:32:32.6426767Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6426842Z import torch
2022-11-23T01:32:32.6426911Z import random
2022-11-23T01:32:32.6427035Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6427190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6427195Z 
2022-11-23T01:32:32.6427282Z aten = torch.ops.aten
2022-11-23T01:32:32.6427425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6427524Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6427529Z 
2022-11-23T01:32:32.6427604Z import triton
2022-11-23T01:32:32.6427692Z import triton.language as tl
2022-11-23T01:32:32.6427822Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6427967Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6427973Z 
2022-11-23T01:32:32.6427978Z 
2022-11-23T01:32:32.6428156Z triton_fused_add_view_add_10 = async_compile.triton('''
2022-11-23T01:32:32.6428231Z import triton
2022-11-23T01:32:32.6428325Z import triton.language as tl
2022-11-23T01:32:32.6428446Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6428553Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6428684Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6428817Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6428822Z 
2022-11-23T01:32:32.6429215Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6429290Z @triton.jit
2022-11-23T01:32:32.6429439Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6429514Z     xnumel = 35
2022-11-23T01:32:32.6429615Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6429753Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6429831Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6429904Z     x0 = xindex
2022-11-23T01:32:32.6430025Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6430145Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6430220Z     tmp1 = 1
2022-11-23T01:32:32.6430365Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6430459Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6430604Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6430710Z ''')
2022-11-23T01:32:32.6430715Z 
2022-11-23T01:32:32.6430720Z 
2022-11-23T01:32:32.6430818Z async_compile.wait(globals())
2022-11-23T01:32:32.6430896Z del async_compile
2022-11-23T01:32:32.6430901Z 
2022-11-23T01:32:32.6430977Z def call(args):
2022-11-23T01:32:32.6431059Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6431135Z     args.clear()
2022-11-23T01:32:32.6431337Z     buf0 = empty_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6431422Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6431578Z     triton_fused_add_view_add_10.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.6431652Z     del arg0_1
2022-11-23T01:32:32.6431725Z     del arg1_1
2022-11-23T01:32:32.6431805Z     return (buf0, )
2022-11-23T01:32:32.6431811Z 
2022-11-23T01:32:32.6431815Z 
2022-11-23T01:32:32.6431896Z if __name__ == "__main__":
2022-11-23T01:32:32.6432017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6432139Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6432336Z     arg0_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6432536Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6432656Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6432661Z 
2022-11-23T01:32:32.6432666Z 
2022-11-23T01:32:32.6432796Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6432872Z import torch
2022-11-23T01:32:32.6432947Z import random
2022-11-23T01:32:32.6433073Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6433192Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6433218Z 
2022-11-23T01:32:32.6433302Z aten = torch.ops.aten
2022-11-23T01:32:32.6433443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6433541Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6433546Z 
2022-11-23T01:32:32.6433621Z import triton
2022-11-23T01:32:32.6433714Z import triton.language as tl
2022-11-23T01:32:32.6433841Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6433985Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6433990Z 
2022-11-23T01:32:32.6433995Z 
2022-11-23T01:32:32.6434151Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6434226Z import triton
2022-11-23T01:32:32.6434324Z import triton.language as tl
2022-11-23T01:32:32.6434441Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6434545Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6434679Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6434806Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6434814Z 
2022-11-23T01:32:32.6435203Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6435271Z @triton.jit
2022-11-23T01:32:32.6435416Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6435493Z     xnumel = 5040
2022-11-23T01:32:32.6435591Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6435722Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6435806Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6435880Z     x0 = xindex
2022-11-23T01:32:32.6435971Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6436069Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6436151Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6436290Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6436379Z ''')
2022-11-23T01:32:32.6436385Z 
2022-11-23T01:32:32.6436389Z 
2022-11-23T01:32:32.6436482Z async_compile.wait(globals())
2022-11-23T01:32:32.6436559Z del async_compile
2022-11-23T01:32:32.6436565Z 
2022-11-23T01:32:32.6436640Z def call(args):
2022-11-23T01:32:32.6436713Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6436788Z     args.clear()
2022-11-23T01:32:32.6437023Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6437117Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6437272Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6437347Z     del arg0_1
2022-11-23T01:32:32.6437420Z     del arg1_1
2022-11-23T01:32:32.6437490Z     return (buf0, )
2022-11-23T01:32:32.6437495Z 
2022-11-23T01:32:32.6437500Z 
2022-11-23T01:32:32.6437580Z if __name__ == "__main__":
2022-11-23T01:32:32.6437703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6437833Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6438035Z     arg0_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6438268Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6438389Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6438394Z 
2022-11-23T01:32:32.6438399Z 
2022-11-23T01:32:32.6438502Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6438569Z import torch
2022-11-23T01:32:32.6438644Z import random
2022-11-23T01:32:32.6438794Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6438923Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6438928Z 
2022-11-23T01:32:32.6439010Z aten = torch.ops.aten
2022-11-23T01:32:32.6439150Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6439271Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6439276Z 
2022-11-23T01:32:32.6439351Z import triton
2022-11-23T01:32:32.6439437Z import triton.language as tl
2022-11-23T01:32:32.6439565Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6439707Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6439713Z 
2022-11-23T01:32:32.6439717Z 
2022-11-23T01:32:32.6439881Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6439960Z import triton
2022-11-23T01:32:32.6440053Z import triton.language as tl
2022-11-23T01:32:32.6440169Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6440269Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6440404Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6440531Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6440536Z 
2022-11-23T01:32:32.6440927Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6441005Z @triton.jit
2022-11-23T01:32:32.6441149Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6441225Z     xnumel = 5040
2022-11-23T01:32:32.6441324Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6441449Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6441533Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6441605Z     x0 = xindex
2022-11-23T01:32:32.6441724Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6441844Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6441925Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6442059Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6442145Z ''')
2022-11-23T01:32:32.6442151Z 
2022-11-23T01:32:32.6442157Z 
2022-11-23T01:32:32.6442244Z async_compile.wait(globals())
2022-11-23T01:32:32.6442322Z del async_compile
2022-11-23T01:32:32.6442327Z 
2022-11-23T01:32:32.6442404Z def call(args):
2022-11-23T01:32:32.6442483Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6442559Z     args.clear()
2022-11-23T01:32:32.6442798Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6442890Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6443060Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6443143Z     del arg0_1
2022-11-23T01:32:32.6443231Z     del arg1_1
2022-11-23T01:32:32.6443310Z     return (buf0, )
2022-11-23T01:32:32.6443315Z 
2022-11-23T01:32:32.6443320Z 
2022-11-23T01:32:32.6443401Z if __name__ == "__main__":
2022-11-23T01:32:32.6443522Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6443650Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6443852Z     arg0_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6444078Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6444198Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6444203Z 
2022-11-23T01:32:32.6444556Z [2022-11-23 01:30:52,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ud/cudc7oozmsh26uunw466mjo6gekh4yc72gpy2523jw36o7jqvrmz.py
2022-11-23T01:32:32.6444821Z [2022-11-23 01:30:52,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 824
2022-11-23T01:32:32.6445087Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6445405Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6445643Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6445896Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6446172Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6446490Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6446827Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6447147Z [2022-11-23 01:30:52,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6447514Z [2022-11-23 01:30:52,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6447616Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6447713Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6447793Z               4 BINARY_ADD
2022-11-23T01:32:32.6447892Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6447991Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6448077Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6448173Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6448254Z              14 BINARY_ADD
2022-11-23T01:32:32.6448348Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6448430Z              18 RETURN_VALUE
2022-11-23T01:32:32.6448495Z  
2022-11-23T01:32:32.6448500Z 
2022-11-23T01:32:32.6448813Z [2022-11-23 01:30:52,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6449028Z [2022-11-23 01:30:52,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6449263Z [2022-11-23 01:30:52,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6449542Z [2022-11-23 01:30:52,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6449783Z [2022-11-23 01:30:52,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6450063Z [2022-11-23 01:30:52,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6450363Z [2022-11-23 01:30:52,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6450599Z [2022-11-23 01:30:52,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6450877Z [2022-11-23 01:30:52,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6451124Z [2022-11-23 01:30:52,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6451373Z [2022-11-23 01:30:52,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6451750Z [2022-11-23 01:30:52,212] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6452022Z [2022-11-23 01:30:52,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6452265Z [2022-11-23 01:30:52,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6452546Z [2022-11-23 01:30:52,214] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6452799Z [2022-11-23 01:30:52,217] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6452995Z [2022-11-23 01:30:52,217] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6453137Z  __compiled_fn_843 <eval_with_key>.5188 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6453232Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6453326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6453497Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6453615Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6453804Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6453905Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6453911Z 
2022-11-23T01:32:32.6454242Z [2022-11-23 01:30:52,218] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6454345Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6454443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6454536Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6454629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6454721Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6454815Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6454898Z              12 RETURN_VALUE
2022-11-23T01:32:32.6454903Z 
2022-11-23T01:32:32.6454971Z  
2022-11-23T01:32:32.6455299Z [2022-11-23 01:30:52,218] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6455416Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_843)
2022-11-23T01:32:32.6455513Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6455607Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6455689Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6455783Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6455878Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6455959Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6456053Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6456164Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6456294Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6456397Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6456494Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6456596Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6456704Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6456800Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6456883Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6456970Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6457069Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6457173Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6457269Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6457355Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6457464Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6457562Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6457659Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6457780Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6457863Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6457970Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6458055Z              54 RETURN_VALUE
2022-11-23T01:32:32.6458060Z 
2022-11-23T01:32:32.6458146Z  
2022-11-23T01:32:32.6458337Z [2022-11-23 01:30:52,219] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6458412Z  - 
2022-11-23T01:32:32.6458530Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6458599Z             {
2022-11-23T01:32:32.6458747Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6459128Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6459257Z                 'obj_weakref': None
2022-11-23T01:32:32.6459486Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6459555Z             }
2022-11-23T01:32:32.6459616Z             
2022-11-23T01:32:32.6459699Z  - 
2022-11-23T01:32:32.6459829Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6459899Z             {
2022-11-23T01:32:32.6460048Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6460161Z                 'code': None,
2022-11-23T01:32:32.6460384Z                 'obj_weakref': <weakref at 0x7f1fe81dd800; to 'Tensor' at 0x7f1fd9aabec0>
2022-11-23T01:32:32.6460633Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6460704Z             }
2022-11-23T01:32:32.6460772Z             
2022-11-23T01:32:32.6460849Z  - 
2022-11-23T01:32:32.6460976Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6461044Z             {
2022-11-23T01:32:32.6461193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6461298Z                 'code': None,
2022-11-23T01:32:32.6461511Z                 'obj_weakref': <weakref at 0x7f1fe81dfce0; to 'Tensor' at 0x7f2115ad9b20>
2022-11-23T01:32:32.6461767Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6461838Z             }
2022-11-23T01:32:32.6461908Z             
2022-11-23T01:32:32.6461984Z  - 
2022-11-23T01:32:32.6462123Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6462185Z             {
2022-11-23T01:32:32.6462325Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6462501Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6462624Z                 'obj_weakref': None
2022-11-23T01:32:32.6462857Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6462926Z             }
2022-11-23T01:32:32.6462993Z             
2022-11-23T01:32:32.6463062Z  - 
2022-11-23T01:32:32.6463190Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6463259Z             {
2022-11-23T01:32:32.6463404Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6463628Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6463752Z                 'obj_weakref': None
2022-11-23T01:32:32.6463977Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6464042Z             }
2022-11-23T01:32:32.6464110Z             
2022-11-23T01:32:32.6464186Z  - 
2022-11-23T01:32:32.6464372Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6464443Z             {
2022-11-23T01:32:32.6464618Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6465584Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6465738Z                 'obj_weakref': None
2022-11-23T01:32:32.6465965Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6466026Z             }
2022-11-23T01:32:32.6466094Z             
2022-11-23T01:32:32.6466170Z  - 
2022-11-23T01:32:32.6466363Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6466434Z             {
2022-11-23T01:32:32.6466581Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6466866Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6466983Z                 'obj_weakref': None
2022-11-23T01:32:32.6467205Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6467273Z             }
2022-11-23T01:32:32.6467345Z             
2022-11-23T01:32:32.6467421Z  - 
2022-11-23T01:32:32.6467611Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6467679Z             {
2022-11-23T01:32:32.6467820Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6468103Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6468226Z                 'obj_weakref': None
2022-11-23T01:32:32.6468451Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6468519Z             }
2022-11-23T01:32:32.6468587Z             
2022-11-23T01:32:32.6468668Z  - 
2022-11-23T01:32:32.6468850Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6468918Z             {
2022-11-23T01:32:32.6469066Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6469347Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6469475Z                 'obj_weakref': None
2022-11-23T01:32:32.6469694Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6469763Z             }
2022-11-23T01:32:32.6469830Z             
2022-11-23T01:32:32.6469899Z  - 
2022-11-23T01:32:32.6470086Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6470155Z             {
2022-11-23T01:32:32.6470373Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6470696Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6470833Z                 'obj_weakref': None
2022-11-23T01:32:32.6471054Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6471120Z             }
2022-11-23T01:32:32.6471190Z             
2022-11-23T01:32:32.6471266Z  - 
2022-11-23T01:32:32.6471451Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6471522Z             {
2022-11-23T01:32:32.6471667Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6471939Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6472055Z                 'obj_weakref': None
2022-11-23T01:32:32.6472274Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6472389Z             }
2022-11-23T01:32:32.6472469Z             
2022-11-23T01:32:32.6472555Z  - 
2022-11-23T01:32:32.6472751Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6472821Z             {
2022-11-23T01:32:32.6472961Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6473255Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6473378Z                 'obj_weakref': None
2022-11-23T01:32:32.6473599Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6473669Z             }
2022-11-23T01:32:32.6473737Z             
2022-11-23T01:32:32.6474003Z [2022-11-23 01:30:52,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 825
2022-11-23T01:32:32.6474257Z [2022-11-23 01:30:52,232] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6474614Z [2022-11-23 01:30:52,298] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctco3k7jvww3tklixwnwxatitjrw7bsttjo2j7otcvz54o2nwohq.py
2022-11-23T01:32:32.6474880Z [2022-11-23 01:30:52,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 825
2022-11-23T01:32:32.6475124Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6475437Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6475658Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6475916Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6476197Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6476513Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6476854Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6477179Z [2022-11-23 01:30:52,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6477555Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6477649Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6477753Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6477856Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6477953Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6478055Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6478135Z              10 BINARY_ADD
2022-11-23T01:32:32.6478237Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6478312Z              14 RETURN_VALUE
2022-11-23T01:32:32.6478379Z  
2022-11-23T01:32:32.6478384Z 
2022-11-23T01:32:32.6478695Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6478909Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6479154Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6479466Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6479769Z [2022-11-23 01:30:52,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6480007Z [2022-11-23 01:30:52,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6480303Z [2022-11-23 01:30:52,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6480541Z [2022-11-23 01:30:52,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6480788Z [2022-11-23 01:30:52,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6481160Z [2022-11-23 01:30:52,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6481414Z [2022-11-23 01:30:52,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6481650Z [2022-11-23 01:30:52,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6481906Z [2022-11-23 01:30:52,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6482162Z [2022-11-23 01:30:52,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6482355Z [2022-11-23 01:30:52,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6482498Z  __compiled_fn_844 <eval_with_key>.5194 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6482586Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6482679Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6482793Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6483000Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6483122Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6483129Z 
2022-11-23T01:32:32.6483457Z [2022-11-23 01:30:52,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6483561Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6483661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6483748Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6483848Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6483940Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6484035Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6484118Z              12 RETURN_VALUE
2022-11-23T01:32:32.6484123Z 
2022-11-23T01:32:32.6484190Z  
2022-11-23T01:32:32.6484509Z [2022-11-23 01:30:52,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6484629Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_844)
2022-11-23T01:32:32.6484720Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6484817Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6484899Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6484997Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6485091Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6485172Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6485267Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6485372Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6485513Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6485618Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6485711Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6485844Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6485953Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6486050Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6486126Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6486221Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6486342Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6486449Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6486545Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6486627Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6486738Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6486831Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6486937Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6487032Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6487115Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6487230Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6487313Z              54 RETURN_VALUE
2022-11-23T01:32:32.6487318Z 
2022-11-23T01:32:32.6487385Z  
2022-11-23T01:32:32.6487576Z [2022-11-23 01:30:52,313] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6487648Z  - 
2022-11-23T01:32:32.6487771Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6487842Z             {
2022-11-23T01:32:32.6487988Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6488180Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6488303Z                 'obj_weakref': None
2022-11-23T01:32:32.6488526Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6488589Z             }
2022-11-23T01:32:32.6488657Z             
2022-11-23T01:32:32.6488735Z  - 
2022-11-23T01:32:32.6488865Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6488933Z             {
2022-11-23T01:32:32.6489083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6489195Z                 'code': None,
2022-11-23T01:32:32.6489401Z                 'obj_weakref': <weakref at 0x7f1fe8168590; to 'Tensor' at 0x7f1fd9aabec0>
2022-11-23T01:32:32.6489655Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6489728Z             }
2022-11-23T01:32:32.6489797Z             
2022-11-23T01:32:32.6489875Z  - 
2022-11-23T01:32:32.6490002Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6490070Z             {
2022-11-23T01:32:32.6490210Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6490320Z                 'code': None,
2022-11-23T01:32:32.6490530Z                 'obj_weakref': <weakref at 0x7f206826dd50; to 'Tensor' at 0x7f2023417c90>
2022-11-23T01:32:32.6490783Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6490855Z             }
2022-11-23T01:32:32.6490923Z             
2022-11-23T01:32:32.6491000Z  - 
2022-11-23T01:32:32.6491129Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6491199Z             {
2022-11-23T01:32:32.6491336Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6491510Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6491634Z                 'obj_weakref': None
2022-11-23T01:32:32.6491861Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6491929Z             }
2022-11-23T01:32:32.6491991Z             
2022-11-23T01:32:32.6492067Z  - 
2022-11-23T01:32:32.6492192Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6492262Z             {
2022-11-23T01:32:32.6492402Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6492649Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6492774Z                 'obj_weakref': None
2022-11-23T01:32:32.6492988Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6493058Z             }
2022-11-23T01:32:32.6493129Z             
2022-11-23T01:32:32.6493228Z  - 
2022-11-23T01:32:32.6493409Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6493479Z             {
2022-11-23T01:32:32.6493651Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6494522Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6494648Z                 'obj_weakref': None
2022-11-23T01:32:32.6494866Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6494936Z             }
2022-11-23T01:32:32.6495005Z             
2022-11-23T01:32:32.6495082Z  - 
2022-11-23T01:32:32.6495269Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6495340Z             {
2022-11-23T01:32:32.6495485Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6495754Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6495877Z                 'obj_weakref': None
2022-11-23T01:32:32.6496098Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6496168Z             }
2022-11-23T01:32:32.6496236Z             
2022-11-23T01:32:32.6496312Z  - 
2022-11-23T01:32:32.6496499Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6496564Z             {
2022-11-23T01:32:32.6498178Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6498456Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6498581Z                 'obj_weakref': None
2022-11-23T01:32:32.6499111Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6499184Z             }
2022-11-23T01:32:32.6499255Z             
2022-11-23T01:32:32.6499328Z  - 
2022-11-23T01:32:32.6499515Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6499586Z             {
2022-11-23T01:32:32.6499733Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6500010Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6500138Z                 'obj_weakref': None
2022-11-23T01:32:32.6500355Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6500424Z             }
2022-11-23T01:32:32.6500486Z             
2022-11-23T01:32:32.6500562Z  - 
2022-11-23T01:32:32.6500747Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6500815Z             {
2022-11-23T01:32:32.6500960Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6501236Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6501408Z                 'obj_weakref': None
2022-11-23T01:32:32.6501620Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6501690Z             }
2022-11-23T01:32:32.6501758Z             
2022-11-23T01:32:32.6501835Z  - 
2022-11-23T01:32:32.6502046Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6502116Z             {
2022-11-23T01:32:32.6502261Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6502529Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6502673Z                 'obj_weakref': None
2022-11-23T01:32:32.6502917Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6502986Z             }
2022-11-23T01:32:32.6503055Z             
2022-11-23T01:32:32.6503132Z  - 
2022-11-23T01:32:32.6503322Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6503385Z             {
2022-11-23T01:32:32.6503530Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6503804Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6503930Z                 'obj_weakref': None
2022-11-23T01:32:32.6504146Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6504215Z             }
2022-11-23T01:32:32.6504284Z             
2022-11-23T01:32:32.6504548Z [2022-11-23 01:30:52,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 826
2022-11-23T01:32:32.6504792Z [2022-11-23 01:30:52,324] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6505158Z [2022-11-23 01:30:52,331] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rp/crp6zx4v7lbpctvnh3cu2dwpjripedwbl62h6flhkdz4ln4ujgko.py
2022-11-23T01:32:32.6505426Z [2022-11-23 01:30:52,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 826
2022-11-23T01:32:32.6505663Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6505983Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6506204Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6506462Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6506747Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6507073Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6507421Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6507744Z [2022-11-23 01:30:52,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6508121Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6508221Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6508324Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6508426Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6508520Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6508647Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6508728Z              10 BINARY_ADD
2022-11-23T01:32:32.6508817Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6508901Z              14 RETURN_VALUE
2022-11-23T01:32:32.6508968Z  
2022-11-23T01:32:32.6508996Z 
2022-11-23T01:32:32.6509320Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6509539Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6509789Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6510077Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6510470Z [2022-11-23 01:30:52,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6510727Z [2022-11-23 01:30:52,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6510993Z [2022-11-23 01:30:52,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6511243Z [2022-11-23 01:30:52,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6511490Z [2022-11-23 01:30:52,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6511864Z [2022-11-23 01:30:52,337] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6512112Z [2022-11-23 01:30:52,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6512351Z [2022-11-23 01:30:52,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6512607Z [2022-11-23 01:30:52,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6512860Z [2022-11-23 01:30:52,342] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6513056Z [2022-11-23 01:30:52,342] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6513194Z  __compiled_fn_845 <eval_with_key>.5200 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6513291Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6513385Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6513501Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6513687Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6513789Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6513795Z 
2022-11-23T01:32:32.6514121Z [2022-11-23 01:30:52,342] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6514223Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6514315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6514413Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6514513Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6514607Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6514702Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6514784Z              12 RETURN_VALUE
2022-11-23T01:32:32.6514789Z 
2022-11-23T01:32:32.6514855Z  
2022-11-23T01:32:32.6515166Z [2022-11-23 01:30:52,342] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6515284Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_845)
2022-11-23T01:32:32.6515421Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6515521Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6515606Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6515701Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6515796Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6515903Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6515993Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6516106Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6516248Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6516353Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6516447Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6516551Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6516661Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6516754Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6516837Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6516931Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6517031Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6517138Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6517240Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6517323Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6517427Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6517525Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6517629Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6517724Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6517807Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6517916Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6517997Z              54 RETURN_VALUE
2022-11-23T01:32:32.6518005Z 
2022-11-23T01:32:32.6518076Z  
2022-11-23T01:32:32.6518261Z [2022-11-23 01:30:52,344] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6518339Z  - 
2022-11-23T01:32:32.6518464Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6518534Z             {
2022-11-23T01:32:32.6518686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6518876Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6519003Z                 'obj_weakref': None
2022-11-23T01:32:32.6519221Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6519296Z             }
2022-11-23T01:32:32.6519365Z             
2022-11-23T01:32:32.6519442Z  - 
2022-11-23T01:32:32.6519571Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6519641Z             {
2022-11-23T01:32:32.6519789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6519896Z                 'code': None,
2022-11-23T01:32:32.6520114Z                 'obj_weakref': <weakref at 0x7f1ffadbf9c0; to 'Tensor' at 0x7f206826f2e0>
2022-11-23T01:32:32.6520365Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6520438Z             }
2022-11-23T01:32:32.6520506Z             
2022-11-23T01:32:32.6520586Z  - 
2022-11-23T01:32:32.6520714Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6520777Z             {
2022-11-23T01:32:32.6520923Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6521038Z                 'code': None,
2022-11-23T01:32:32.6521251Z                 'obj_weakref': <weakref at 0x7f1f25e74040; to 'Tensor' at 0x7f1f259cbc90>
2022-11-23T01:32:32.6521500Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6521570Z             }
2022-11-23T01:32:32.6521639Z             
2022-11-23T01:32:32.6521709Z  - 
2022-11-23T01:32:32.6521893Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6521964Z             {
2022-11-23T01:32:32.6522105Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6522279Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6522425Z                 'obj_weakref': None
2022-11-23T01:32:32.6522654Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6522717Z             }
2022-11-23T01:32:32.6522787Z             
2022-11-23T01:32:32.6522865Z  - 
2022-11-23T01:32:32.6523018Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6523097Z             {
2022-11-23T01:32:32.6523253Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6523472Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6523589Z                 'obj_weakref': None
2022-11-23T01:32:32.6523816Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6523888Z             }
2022-11-23T01:32:32.6523958Z             
2022-11-23T01:32:32.6524034Z  - 
2022-11-23T01:32:32.6524215Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6524288Z             {
2022-11-23T01:32:32.6524453Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6525325Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6525451Z                 'obj_weakref': None
2022-11-23T01:32:32.6525678Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6525749Z             }
2022-11-23T01:32:32.6525818Z             
2022-11-23T01:32:32.6525897Z  - 
2022-11-23T01:32:32.6526089Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6526158Z             {
2022-11-23T01:32:32.6526298Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6526577Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6526702Z                 'obj_weakref': None
2022-11-23T01:32:32.6526920Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6526989Z             }
2022-11-23T01:32:32.6527062Z             
2022-11-23T01:32:32.6527138Z  - 
2022-11-23T01:32:32.6527318Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6527388Z             {
2022-11-23T01:32:32.6527536Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6527817Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6527941Z                 'obj_weakref': None
2022-11-23T01:32:32.6528160Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6528230Z             }
2022-11-23T01:32:32.6528293Z             
2022-11-23T01:32:32.6528369Z  - 
2022-11-23T01:32:32.6528555Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6528624Z             {
2022-11-23T01:32:32.6528770Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6529082Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6529208Z                 'obj_weakref': None
2022-11-23T01:32:32.6529429Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6529513Z             }
2022-11-23T01:32:32.6529583Z             
2022-11-23T01:32:32.6529661Z  - 
2022-11-23T01:32:32.6529847Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6529916Z             {
2022-11-23T01:32:32.6530061Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6530334Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6530450Z                 'obj_weakref': None
2022-11-23T01:32:32.6530669Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6530738Z             }
2022-11-23T01:32:32.6530808Z             
2022-11-23T01:32:32.6530885Z  - 
2022-11-23T01:32:32.6531072Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6531145Z             {
2022-11-23T01:32:32.6531288Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6531562Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6531684Z                 'obj_weakref': None
2022-11-23T01:32:32.6531899Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6531969Z             }
2022-11-23T01:32:32.6532038Z             
2022-11-23T01:32:32.6532115Z  - 
2022-11-23T01:32:32.6532295Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6532367Z             {
2022-11-23T01:32:32.6532515Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6532817Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6532962Z                 'obj_weakref': None
2022-11-23T01:32:32.6533186Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6533256Z             }
2022-11-23T01:32:32.6533329Z             
2022-11-23T01:32:32.6533585Z [2022-11-23 01:30:52,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 827
2022-11-23T01:32:32.6533840Z [2022-11-23 01:30:52,355] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6533846Z 
2022-11-23T01:32:32.6533947Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6534023Z import torch
2022-11-23T01:32:32.6534099Z import random
2022-11-23T01:32:32.6534224Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6534351Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6534356Z 
2022-11-23T01:32:32.6534434Z aten = torch.ops.aten
2022-11-23T01:32:32.6534575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6534675Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6534681Z 
2022-11-23T01:32:32.6534755Z import triton
2022-11-23T01:32:32.6534851Z import triton.language as tl
2022-11-23T01:32:32.6534983Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6535130Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6535135Z 
2022-11-23T01:32:32.6535140Z 
2022-11-23T01:32:32.6535313Z triton_fused_view_add_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.6535382Z import triton
2022-11-23T01:32:32.6535477Z import triton.language as tl
2022-11-23T01:32:32.6535596Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6535701Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6535870Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6536002Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6536007Z 
2022-11-23T01:32:32.6536401Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6536498Z @triton.jit
2022-11-23T01:32:32.6536638Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6536717Z     xnumel = 5040
2022-11-23T01:32:32.6536816Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6536950Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6537035Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6537107Z     x0 = xindex
2022-11-23T01:32:32.6537207Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6537301Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6537373Z     tmp1 = 1
2022-11-23T01:32:32.6537453Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6537533Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6537674Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6537764Z ''')
2022-11-23T01:32:32.6537770Z 
2022-11-23T01:32:32.6537774Z 
2022-11-23T01:32:32.6537869Z async_compile.wait(globals())
2022-11-23T01:32:32.6537947Z del async_compile
2022-11-23T01:32:32.6537952Z 
2022-11-23T01:32:32.6538022Z def call(args):
2022-11-23T01:32:32.6538102Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6538179Z     args.clear()
2022-11-23T01:32:32.6538421Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6538512Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6538673Z     triton_fused_view_add_1_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6538751Z     del arg0_1
2022-11-23T01:32:32.6539010Z     del arg1_1
2022-11-23T01:32:32.6539090Z     return (buf0, )
2022-11-23T01:32:32.6539096Z 
2022-11-23T01:32:32.6539100Z 
2022-11-23T01:32:32.6539184Z if __name__ == "__main__":
2022-11-23T01:32:32.6539305Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6539439Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6539648Z     arg0_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6539883Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6540005Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6540010Z 
2022-11-23T01:32:32.6540015Z 
2022-11-23T01:32:32.6540114Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6540182Z import torch
2022-11-23T01:32:32.6540257Z import random
2022-11-23T01:32:32.6540383Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6540509Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6540515Z 
2022-11-23T01:32:32.6540598Z aten = torch.ops.aten
2022-11-23T01:32:32.6540737Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6540834Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6540842Z 
2022-11-23T01:32:32.6540910Z import triton
2022-11-23T01:32:32.6541004Z import triton.language as tl
2022-11-23T01:32:32.6541134Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6541281Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6541287Z 
2022-11-23T01:32:32.6541291Z 
2022-11-23T01:32:32.6541468Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.6541545Z import triton
2022-11-23T01:32:32.6541639Z import triton.language as tl
2022-11-23T01:32:32.6541756Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6541853Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6542038Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6542169Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6542175Z 
2022-11-23T01:32:32.6542569Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6542675Z @triton.jit
2022-11-23T01:32:32.6542822Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6542898Z     xnumel = 5040
2022-11-23T01:32:32.6543001Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6543127Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6543212Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6543285Z     x0 = xindex
2022-11-23T01:32:32.6543404Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6543529Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6543601Z     tmp1 = 1
2022-11-23T01:32:32.6543675Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6543756Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6543893Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6543984Z ''')
2022-11-23T01:32:32.6543989Z 
2022-11-23T01:32:32.6543994Z 
2022-11-23T01:32:32.6544087Z async_compile.wait(globals())
2022-11-23T01:32:32.6544166Z del async_compile
2022-11-23T01:32:32.6544171Z 
2022-11-23T01:32:32.6544247Z def call(args):
2022-11-23T01:32:32.6544328Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6544398Z     args.clear()
2022-11-23T01:32:32.6544635Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6544728Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6544887Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6544960Z     del arg0_1
2022-11-23T01:32:32.6545036Z     del arg1_1
2022-11-23T01:32:32.6545113Z     return (buf0, )
2022-11-23T01:32:32.6545118Z 
2022-11-23T01:32:32.6545123Z 
2022-11-23T01:32:32.6545204Z if __name__ == "__main__":
2022-11-23T01:32:32.6545317Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6545449Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6545652Z     arg0_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6545890Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6546012Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6546017Z 
2022-11-23T01:32:32.6546021Z 
2022-11-23T01:32:32.6546122Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6546196Z import torch
2022-11-23T01:32:32.6546271Z import random
2022-11-23T01:32:32.6546387Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6546514Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6546520Z 
2022-11-23T01:32:32.6546603Z aten = torch.ops.aten
2022-11-23T01:32:32.6546744Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6546841Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6546849Z 
2022-11-23T01:32:32.6546924Z import triton
2022-11-23T01:32:32.6547019Z import triton.language as tl
2022-11-23T01:32:32.6547141Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6547285Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6547290Z 
2022-11-23T01:32:32.6547295Z 
2022-11-23T01:32:32.6547457Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6547532Z import triton
2022-11-23T01:32:32.6547628Z import triton.language as tl
2022-11-23T01:32:32.6547745Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6547849Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6548015Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6548138Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6548143Z 
2022-11-23T01:32:32.6548529Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6548626Z @triton.jit
2022-11-23T01:32:32.6548773Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6548849Z     xnumel = 5040
2022-11-23T01:32:32.6548947Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6549079Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6549163Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6549228Z     x0 = xindex
2022-11-23T01:32:32.6549327Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6549426Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6549507Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6549647Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6549734Z ''')
2022-11-23T01:32:32.6549740Z 
2022-11-23T01:32:32.6549744Z 
2022-11-23T01:32:32.6549838Z async_compile.wait(globals())
2022-11-23T01:32:32.6549912Z del async_compile
2022-11-23T01:32:32.6549924Z 
2022-11-23T01:32:32.6549993Z def call(args):
2022-11-23T01:32:32.6550073Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6550149Z     args.clear()
2022-11-23T01:32:32.6550475Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6550583Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6550752Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6550826Z     del arg0_1
2022-11-23T01:32:32.6550893Z     del arg1_1
2022-11-23T01:32:32.6550971Z     return (buf0, )
2022-11-23T01:32:32.6550976Z 
2022-11-23T01:32:32.6550981Z 
2022-11-23T01:32:32.6551064Z if __name__ == "__main__":
2022-11-23T01:32:32.6551185Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6551313Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6551535Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6551771Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6551892Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6551897Z 
2022-11-23T01:32:32.6552259Z [2022-11-23 01:30:52,361] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cpsuhcw6syddm2kyrhnsgxfr7aamm4pkrpowcfhze37gm26kpytz.py
2022-11-23T01:32:32.6552526Z [2022-11-23 01:30:52,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 827
2022-11-23T01:32:32.6552772Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6553087Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6553305Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6553559Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6553833Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6554149Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6554492Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6554852Z [2022-11-23 01:30:52,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6555215Z [2022-11-23 01:30:52,366] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6555337Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6555435Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6555516Z               4 BINARY_ADD
2022-11-23T01:32:32.6555615Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6555716Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6555810Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6555908Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6555980Z              14 BINARY_ADD
2022-11-23T01:32:32.6556075Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6556160Z              18 RETURN_VALUE
2022-11-23T01:32:32.6556227Z  
2022-11-23T01:32:32.6556233Z 
2022-11-23T01:32:32.6556547Z [2022-11-23 01:30:52,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6556763Z [2022-11-23 01:30:52,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6557006Z [2022-11-23 01:30:52,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6557285Z [2022-11-23 01:30:52,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6557521Z [2022-11-23 01:30:52,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6557799Z [2022-11-23 01:30:52,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6558100Z [2022-11-23 01:30:52,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6558339Z [2022-11-23 01:30:52,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6558611Z [2022-11-23 01:30:52,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6558853Z [2022-11-23 01:30:52,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6559103Z [2022-11-23 01:30:52,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6559482Z [2022-11-23 01:30:52,369] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6559737Z [2022-11-23 01:30:52,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6559977Z [2022-11-23 01:30:52,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6560229Z [2022-11-23 01:30:52,370] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6560486Z [2022-11-23 01:30:52,374] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6560685Z [2022-11-23 01:30:52,374] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6560827Z  __compiled_fn_846 <eval_with_key>.5206 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6560922Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6561014Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6561191Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6561303Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6561524Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6561627Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6561633Z 
2022-11-23T01:32:32.6561970Z [2022-11-23 01:30:52,374] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6562096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6562194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6562288Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6562389Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6562482Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6562571Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6562651Z              12 RETURN_VALUE
2022-11-23T01:32:32.6562657Z 
2022-11-23T01:32:32.6562723Z  
2022-11-23T01:32:32.6563077Z [2022-11-23 01:30:52,374] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6563219Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_846)
2022-11-23T01:32:32.6563315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6563413Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6563492Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6563587Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6563683Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6563765Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6563858Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6563970Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6564106Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6564203Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6564297Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6564402Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6564510Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6564605Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6564688Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6564786Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6564884Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6564984Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6565079Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6565161Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6565271Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6565368Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6565473Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6565567Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6565644Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6565752Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6565833Z              54 RETURN_VALUE
2022-11-23T01:32:32.6565838Z 
2022-11-23T01:32:32.6565904Z  
2022-11-23T01:32:32.6566096Z [2022-11-23 01:30:52,376] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6566175Z  - 
2022-11-23T01:32:32.6566301Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6566364Z             {
2022-11-23T01:32:32.6566512Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6566706Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6566833Z                 'obj_weakref': None
2022-11-23T01:32:32.6567060Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6567130Z             }
2022-11-23T01:32:32.6567198Z             
2022-11-23T01:32:32.6567268Z  - 
2022-11-23T01:32:32.6567429Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6567500Z             {
2022-11-23T01:32:32.6567649Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6567763Z                 'code': None,
2022-11-23T01:32:32.6567982Z                 'obj_weakref': <weakref at 0x7f1fe812db70; to 'Tensor' at 0x7f1ffadbfc40>
2022-11-23T01:32:32.6568257Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6568320Z             }
2022-11-23T01:32:32.6568389Z             
2022-11-23T01:32:32.6568465Z  - 
2022-11-23T01:32:32.6568593Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6568662Z             {
2022-11-23T01:32:32.6568811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6568924Z                 'code': None,
2022-11-23T01:32:32.6569132Z                 'obj_weakref': <weakref at 0x7f1fe81b65c0; to 'Tensor' at 0x7f1ffadbcae0>
2022-11-23T01:32:32.6569389Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6569458Z             }
2022-11-23T01:32:32.6569527Z             
2022-11-23T01:32:32.6569604Z  - 
2022-11-23T01:32:32.6569740Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6569810Z             {
2022-11-23T01:32:32.6569948Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6570123Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6570247Z                 'obj_weakref': None
2022-11-23T01:32:32.6570480Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6570550Z             }
2022-11-23T01:32:32.6570619Z             
2022-11-23T01:32:32.6570695Z  - 
2022-11-23T01:32:32.6570816Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6570888Z             {
2022-11-23T01:32:32.6571031Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6571255Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6571379Z                 'obj_weakref': None
2022-11-23T01:32:32.6571605Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6571678Z             }
2022-11-23T01:32:32.6571740Z             
2022-11-23T01:32:32.6571818Z  - 
2022-11-23T01:32:32.6572006Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6572077Z             {
2022-11-23T01:32:32.6572253Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6573213Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6573342Z                 'obj_weakref': None
2022-11-23T01:32:32.6573564Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6573633Z             }
2022-11-23T01:32:32.6573696Z             
2022-11-23T01:32:32.6573773Z  - 
2022-11-23T01:32:32.6573965Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6574035Z             {
2022-11-23T01:32:32.6574187Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6574470Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6574627Z                 'obj_weakref': None
2022-11-23T01:32:32.6574852Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6574915Z             }
2022-11-23T01:32:32.6574983Z             
2022-11-23T01:32:32.6575061Z  - 
2022-11-23T01:32:32.6575278Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6575348Z             {
2022-11-23T01:32:32.6575497Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6575781Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6575899Z                 'obj_weakref': None
2022-11-23T01:32:32.6576119Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6576188Z             }
2022-11-23T01:32:32.6576257Z             
2022-11-23T01:32:32.6576334Z  - 
2022-11-23T01:32:32.6576525Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6576596Z             {
2022-11-23T01:32:32.6576735Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6577013Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6577139Z                 'obj_weakref': None
2022-11-23T01:32:32.6577356Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6577426Z             }
2022-11-23T01:32:32.6577495Z             
2022-11-23T01:32:32.6577572Z  - 
2022-11-23T01:32:32.6577752Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6577821Z             {
2022-11-23T01:32:32.6577969Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6578248Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6578370Z                 'obj_weakref': None
2022-11-23T01:32:32.6578586Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6578656Z             }
2022-11-23T01:32:32.6578721Z             
2022-11-23T01:32:32.6578996Z  - 
2022-11-23T01:32:32.6579190Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6579259Z             {
2022-11-23T01:32:32.6579407Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6579680Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6579805Z                 'obj_weakref': None
2022-11-23T01:32:32.6580022Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6580084Z             }
2022-11-23T01:32:32.6580152Z             
2022-11-23T01:32:32.6580234Z  - 
2022-11-23T01:32:32.6580420Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6580488Z             {
2022-11-23T01:32:32.6580632Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6580905Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6581023Z                 'obj_weakref': None
2022-11-23T01:32:32.6581239Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6581308Z             }
2022-11-23T01:32:32.6581376Z             
2022-11-23T01:32:32.6581640Z [2022-11-23 01:30:52,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 828
2022-11-23T01:32:32.6581892Z [2022-11-23 01:30:52,390] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6582309Z [2022-11-23 01:30:52,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzvly6tp4wtauaphqdhr22qskglm3xmmlojf7knnx3vp2h3kbdl.py
2022-11-23T01:32:32.6582581Z [2022-11-23 01:30:52,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 828
2022-11-23T01:32:32.6582844Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6583158Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6583379Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6583633Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6583912Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6584233Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6584574Z [2022-11-23 01:30:52,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6584905Z [2022-11-23 01:30:52,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6585284Z [2022-11-23 01:30:52,401] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6585385Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6585477Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6585556Z               4 BINARY_ADD
2022-11-23T01:32:32.6585659Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6585758Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6585852Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6585948Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6586026Z              14 BINARY_ADD
2022-11-23T01:32:32.6586117Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6586200Z              18 RETURN_VALUE
2022-11-23T01:32:32.6586266Z  
2022-11-23T01:32:32.6586272Z 
2022-11-23T01:32:32.6586589Z [2022-11-23 01:30:52,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6586805Z [2022-11-23 01:30:52,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6587049Z [2022-11-23 01:30:52,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6587335Z [2022-11-23 01:30:52,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6587581Z [2022-11-23 01:30:52,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6587866Z [2022-11-23 01:30:52,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6588169Z [2022-11-23 01:30:52,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6588410Z [2022-11-23 01:30:52,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6588687Z [2022-11-23 01:30:52,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6588935Z [2022-11-23 01:30:52,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6589213Z [2022-11-23 01:30:52,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6589589Z [2022-11-23 01:30:52,404] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6589860Z [2022-11-23 01:30:52,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6590097Z [2022-11-23 01:30:52,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6590469Z [2022-11-23 01:30:52,406] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6590729Z [2022-11-23 01:30:52,409] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6590918Z [2022-11-23 01:30:52,410] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6591065Z  __compiled_fn_847 <eval_with_key>.5212 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6591161Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6591254Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6591433Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6591547Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:32.6591737Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6591832Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6591844Z 
2022-11-23T01:32:32.6592169Z [2022-11-23 01:30:52,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6592270Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6592370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6592465Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6592566Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6592663Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6592759Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6592835Z              12 RETURN_VALUE
2022-11-23T01:32:32.6592840Z 
2022-11-23T01:32:32.6592907Z  
2022-11-23T01:32:32.6593255Z [2022-11-23 01:30:52,410] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6593400Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_847)
2022-11-23T01:32:32.6593499Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6593597Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6593680Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6593776Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6593864Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6593946Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6594041Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6594157Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6594298Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6594403Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6594500Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6594597Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6594707Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6594804Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6594886Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6594980Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6595079Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6595185Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6595275Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6595390Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6595502Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6595601Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6595707Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6595826Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6595908Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6596011Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6596092Z              54 RETURN_VALUE
2022-11-23T01:32:32.6596097Z 
2022-11-23T01:32:32.6596164Z  
2022-11-23T01:32:32.6596355Z [2022-11-23 01:30:52,412] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6596433Z  - 
2022-11-23T01:32:32.6596558Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6596627Z             {
2022-11-23T01:32:32.6596774Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6596960Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6597087Z                 'obj_weakref': None
2022-11-23T01:32:32.6597313Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6597383Z             }
2022-11-23T01:32:32.6597453Z             
2022-11-23T01:32:32.6597534Z  - 
2022-11-23T01:32:32.6597664Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6597727Z             {
2022-11-23T01:32:32.6597879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6597991Z                 'code': None,
2022-11-23T01:32:32.6598208Z                 'obj_weakref': <weakref at 0x7f1feadc2f70; to 'Tensor' at 0x7f1f36112ed0>
2022-11-23T01:32:32.6598460Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6598532Z             }
2022-11-23T01:32:32.6598603Z             
2022-11-23T01:32:32.6598673Z  - 
2022-11-23T01:32:32.6598801Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6598872Z             {
2022-11-23T01:32:32.6599020Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6599135Z                 'code': None,
2022-11-23T01:32:32.6599355Z                 'obj_weakref': <weakref at 0x7f1feadc1e40; to 'Tensor' at 0x7f1f25e746d0>
2022-11-23T01:32:32.6599615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6599678Z             }
2022-11-23T01:32:32.6599747Z             
2022-11-23T01:32:32.6599824Z  - 
2022-11-23T01:32:32.6599961Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6600030Z             {
2022-11-23T01:32:32.6600172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6600349Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6600468Z                 'obj_weakref': None
2022-11-23T01:32:32.6600705Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6600774Z             }
2022-11-23T01:32:32.6600842Z             
2022-11-23T01:32:32.6600919Z  - 
2022-11-23T01:32:32.6601046Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6601115Z             {
2022-11-23T01:32:32.6601252Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6601477Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6601604Z                 'obj_weakref': None
2022-11-23T01:32:32.6601834Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6601903Z             }
2022-11-23T01:32:32.6601972Z             
2022-11-23T01:32:32.6602051Z  - 
2022-11-23T01:32:32.6602229Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6602298Z             {
2022-11-23T01:32:32.6602473Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6603405Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:32.6603561Z                 'obj_weakref': None
2022-11-23T01:32:32.6603789Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6603858Z             }
2022-11-23T01:32:32.6603927Z             
2022-11-23T01:32:32.6604004Z  - 
2022-11-23T01:32:32.6604191Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6604261Z             {
2022-11-23T01:32:32.6604409Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6604693Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.6604824Z                 'obj_weakref': None
2022-11-23T01:32:32.6605052Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6605121Z             }
2022-11-23T01:32:32.6605183Z             
2022-11-23T01:32:32.6605259Z  - 
2022-11-23T01:32:32.6605450Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6605520Z             {
2022-11-23T01:32:32.6605669Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6605951Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:32.6606075Z                 'obj_weakref': None
2022-11-23T01:32:32.6606289Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6606358Z             }
2022-11-23T01:32:32.6606427Z             
2022-11-23T01:32:32.6606511Z  - 
2022-11-23T01:32:32.6606701Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6606770Z             {
2022-11-23T01:32:32.6606918Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6607195Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:32.6607320Z                 'obj_weakref': None
2022-11-23T01:32:32.6607541Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6607612Z             }
2022-11-23T01:32:32.6607680Z             
2022-11-23T01:32:32.6607758Z  - 
2022-11-23T01:32:32.6607950Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.6608020Z             {
2022-11-23T01:32:32.6608162Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6608444Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:32.6608571Z                 'obj_weakref': None
2022-11-23T01:32:32.6608791Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6608862Z             }
2022-11-23T01:32:32.6608931Z             
2022-11-23T01:32:32.6609009Z  - 
2022-11-23T01:32:32.6609192Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.6609261Z             {
2022-11-23T01:32:32.6609409Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6609728Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:32.6609857Z                 'obj_weakref': None
2022-11-23T01:32:32.6610075Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6610168Z             }
2022-11-23T01:32:32.6610230Z             
2022-11-23T01:32:32.6610307Z  - 
2022-11-23T01:32:32.6610497Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:32.6610567Z             {
2022-11-23T01:32:32.6610718Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6610997Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94768292480384)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:32.6611125Z                 'obj_weakref': None
2022-11-23T01:32:32.6611344Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6611407Z             }
2022-11-23T01:32:32.6611479Z             
2022-11-23T01:32:32.6611748Z [2022-11-23 01:30:52,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 829
2022-11-23T01:32:32.6612003Z [2022-11-23 01:30:52,424] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6612367Z [2022-11-23 01:30:52,431] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/65/c6533jwotbssdvh66aum4fjrnviovfvdeg7z7t2x5fllzcescb5i.py
2022-11-23T01:32:32.6612638Z [2022-11-23 01:30:52,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 829
2022-11-23T01:32:32.6612906Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6613249Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6613469Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6613728Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6614011Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6614338Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6614685Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6615011Z [2022-11-23 01:30:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6615389Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6615489Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6615591Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6615695Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6615782Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6615880Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6615958Z              10 BINARY_ADD
2022-11-23T01:32:32.6616054Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6616135Z              14 RETURN_VALUE
2022-11-23T01:32:32.6616202Z  
2022-11-23T01:32:32.6616207Z 
2022-11-23T01:32:32.6616521Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6616758Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6617009Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6617294Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6617628Z [2022-11-23 01:30:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6617868Z [2022-11-23 01:30:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6618143Z [2022-11-23 01:30:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6618389Z [2022-11-23 01:30:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6618642Z [2022-11-23 01:30:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6619172Z [2022-11-23 01:30:52,437] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6619429Z [2022-11-23 01:30:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6619667Z [2022-11-23 01:30:52,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6619929Z [2022-11-23 01:30:52,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6620184Z [2022-11-23 01:30:52,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6620382Z [2022-11-23 01:30:52,443] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6620525Z  __compiled_fn_848 <eval_with_key>.5218 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6620625Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6620720Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6620829Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T01:32:32.6621010Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6621115Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6621120Z 
2022-11-23T01:32:32.6621450Z [2022-11-23 01:30:52,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6621551Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6621649Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6621743Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6621845Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6621938Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6622027Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6622113Z              12 RETURN_VALUE
2022-11-23T01:32:32.6622118Z 
2022-11-23T01:32:32.6622186Z  
2022-11-23T01:32:32.6622510Z [2022-11-23 01:30:52,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6622630Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_848)
2022-11-23T01:32:32.6622728Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6622828Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6622911Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6623000Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6623095Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6623177Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6623274Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6623388Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6623580Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6623687Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6623775Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6623879Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6624038Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6624136Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6624222Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6624316Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6624417Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6624518Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6624612Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6624694Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6624805Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6624907Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6625013Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6625107Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6625182Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6625296Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6625379Z              54 RETURN_VALUE
2022-11-23T01:32:32.6625385Z 
2022-11-23T01:32:32.6625452Z  
2022-11-23T01:32:32.6625655Z [2022-11-23 01:30:52,444] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6625732Z  - 
2022-11-23T01:32:32.6625857Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6625928Z             {
2022-11-23T01:32:32.6626069Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6626262Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6626388Z                 'obj_weakref': None
2022-11-23T01:32:32.6626620Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6626691Z             }
2022-11-23T01:32:32.6626761Z             
2022-11-23T01:32:32.6626838Z  - 
2022-11-23T01:32:32.6626962Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6627032Z             {
2022-11-23T01:32:32.6627187Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6627300Z                 'code': None,
2022-11-23T01:32:32.6627519Z                 'obj_weakref': <weakref at 0x7f1fead37560; to 'Tensor' at 0x7f1fe81dda30>
2022-11-23T01:32:32.6627774Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6627846Z             }
2022-11-23T01:32:32.6627909Z             
2022-11-23T01:32:32.6627985Z  - 
2022-11-23T01:32:32.6628117Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6628187Z             {
2022-11-23T01:32:32.6628338Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6628455Z                 'code': None,
2022-11-23T01:32:32.6628671Z                 'obj_weakref': <weakref at 0x7f1fead371f0; to 'Tensor' at 0x7f1f25e746d0>
2022-11-23T01:32:32.6628919Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6628993Z             }
2022-11-23T01:32:32.6629061Z             
2022-11-23T01:32:32.6629138Z  - 
2022-11-23T01:32:32.6629274Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6629345Z             {
2022-11-23T01:32:32.6629487Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6629654Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6629778Z                 'obj_weakref': None
2022-11-23T01:32:32.6630009Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6630080Z             }
2022-11-23T01:32:32.6630149Z             
2022-11-23T01:32:32.6630226Z  - 
2022-11-23T01:32:32.6630476Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6630552Z             {
2022-11-23T01:32:32.6630717Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6630960Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6631113Z                 'obj_weakref': None
2022-11-23T01:32:32.6631341Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6631411Z             }
2022-11-23T01:32:32.6631480Z             
2022-11-23T01:32:32.6631550Z  - 
2022-11-23T01:32:32.6631736Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6631806Z             {
2022-11-23T01:32:32.6631982Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6632620Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:32.6632767Z                 'obj_weakref': None
2022-11-23T01:32:32.6633017Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6633087Z             }
2022-11-23T01:32:32.6633149Z             
2022-11-23T01:32:32.6633226Z  - 
2022-11-23T01:32:32.6633416Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6633486Z             {
2022-11-23T01:32:32.6639940Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6640260Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6640393Z                 'obj_weakref': None
2022-11-23T01:32:32.6640607Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6640678Z             }
2022-11-23T01:32:32.6640747Z             
2022-11-23T01:32:32.6640824Z  - 
2022-11-23T01:32:32.6641017Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6641086Z             {
2022-11-23T01:32:32.6641234Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6641509Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:32.6641634Z                 'obj_weakref': None
2022-11-23T01:32:32.6641853Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6641922Z             }
2022-11-23T01:32:32.6641991Z             
2022-11-23T01:32:32.6642067Z  - 
2022-11-23T01:32:32.6642257Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6642319Z             {
2022-11-23T01:32:32.6642467Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6642743Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.6642868Z                 'obj_weakref': None
2022-11-23T01:32:32.6643112Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6643197Z             }
2022-11-23T01:32:32.6643274Z             
2022-11-23T01:32:32.6643538Z [2022-11-23 01:30:52,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 830
2022-11-23T01:32:32.6643782Z [2022-11-23 01:30:52,456] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6643795Z 
2022-11-23T01:32:32.6643889Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6644022Z import torch
2022-11-23T01:32:32.6644102Z import random
2022-11-23T01:32:32.6644225Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6644357Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6644362Z 
2022-11-23T01:32:32.6644447Z aten = torch.ops.aten
2022-11-23T01:32:32.6644616Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6644708Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6644713Z 
2022-11-23T01:32:32.6644787Z import triton
2022-11-23T01:32:32.6644881Z import triton.language as tl
2022-11-23T01:32:32.6645010Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6645155Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6645160Z 
2022-11-23T01:32:32.6645165Z 
2022-11-23T01:32:32.6645329Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6645404Z import triton
2022-11-23T01:32:32.6645496Z import triton.language as tl
2022-11-23T01:32:32.6645609Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6645717Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6645857Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6645986Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6645995Z 
2022-11-23T01:32:32.6646392Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6646467Z @triton.jit
2022-11-23T01:32:32.6646614Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6646691Z     xnumel = 5040
2022-11-23T01:32:32.6646783Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6646916Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6647002Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6647076Z     x0 = xindex
2022-11-23T01:32:32.6647203Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6647324Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6647406Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6647538Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6647629Z ''')
2022-11-23T01:32:32.6647635Z 
2022-11-23T01:32:32.6647640Z 
2022-11-23T01:32:32.6647736Z async_compile.wait(globals())
2022-11-23T01:32:32.6647814Z del async_compile
2022-11-23T01:32:32.6647820Z 
2022-11-23T01:32:32.6647896Z def call(args):
2022-11-23T01:32:32.6647981Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6648059Z     args.clear()
2022-11-23T01:32:32.6648291Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6648383Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6648535Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6648612Z     del arg0_1
2022-11-23T01:32:32.6648687Z     del arg1_1
2022-11-23T01:32:32.6648765Z     return (buf0, )
2022-11-23T01:32:32.6648770Z 
2022-11-23T01:32:32.6648775Z 
2022-11-23T01:32:32.6648856Z if __name__ == "__main__":
2022-11-23T01:32:32.6648977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6649104Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6649326Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6649560Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6649686Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6649691Z 
2022-11-23T01:32:32.6649695Z 
2022-11-23T01:32:32.6649795Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6649870Z import torch
2022-11-23T01:32:32.6649946Z import random
2022-11-23T01:32:32.6650099Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6650220Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6650226Z 
2022-11-23T01:32:32.6650310Z aten = torch.ops.aten
2022-11-23T01:32:32.6650449Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6650569Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6650574Z 
2022-11-23T01:32:32.6650650Z import triton
2022-11-23T01:32:32.6650744Z import triton.language as tl
2022-11-23T01:32:32.6650873Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6651010Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6651022Z 
2022-11-23T01:32:32.6651027Z 
2022-11-23T01:32:32.6651195Z triton_fused_add_1_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6651271Z import triton
2022-11-23T01:32:32.6651364Z import triton.language as tl
2022-11-23T01:32:32.6651480Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6651588Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6651724Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6651852Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6651857Z 
2022-11-23T01:32:32.6652245Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6652315Z @triton.jit
2022-11-23T01:32:32.6652461Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6652537Z     xnumel = 5040
2022-11-23T01:32:32.6652636Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6652777Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6652877Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6652956Z     x0 = xindex
2022-11-23T01:32:32.6653065Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6653166Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6653239Z     tmp1 = 1
2022-11-23T01:32:32.6653319Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6653398Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6653535Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6653624Z ''')
2022-11-23T01:32:32.6653629Z 
2022-11-23T01:32:32.6653634Z 
2022-11-23T01:32:32.6653720Z async_compile.wait(globals())
2022-11-23T01:32:32.6653799Z del async_compile
2022-11-23T01:32:32.6653804Z 
2022-11-23T01:32:32.6653880Z def call(args):
2022-11-23T01:32:32.6653960Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6654036Z     args.clear()
2022-11-23T01:32:32.6654272Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6654366Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6654524Z     triton_fused_add_1_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6654593Z     del arg0_1
2022-11-23T01:32:32.6654667Z     del arg1_1
2022-11-23T01:32:32.6654744Z     return (buf0, )
2022-11-23T01:32:32.6654749Z 
2022-11-23T01:32:32.6654754Z 
2022-11-23T01:32:32.6654835Z if __name__ == "__main__":
2022-11-23T01:32:32.6654955Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6655087Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6655306Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6655535Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6655656Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6655661Z 
2022-11-23T01:32:32.6655666Z 
2022-11-23T01:32:32.6655766Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6655841Z import torch
2022-11-23T01:32:32.6655917Z import random
2022-11-23T01:32:32.6656039Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6656199Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6656205Z 
2022-11-23T01:32:32.6656288Z aten = torch.ops.aten
2022-11-23T01:32:32.6656421Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6656539Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6656544Z 
2022-11-23T01:32:32.6656619Z import triton
2022-11-23T01:32:32.6656713Z import triton.language as tl
2022-11-23T01:32:32.6656844Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6656994Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6656999Z 
2022-11-23T01:32:32.6657004Z 
2022-11-23T01:32:32.6657177Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.6657255Z import triton
2022-11-23T01:32:32.6657341Z import triton.language as tl
2022-11-23T01:32:32.6657456Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6657560Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6657698Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6657827Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6657832Z 
2022-11-23T01:32:32.6658222Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.6658299Z @triton.jit
2022-11-23T01:32:32.6658444Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6658513Z     xnumel = 5040
2022-11-23T01:32:32.6658612Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6658747Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6659048Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6659123Z     x0 = xindex
2022-11-23T01:32:32.6659249Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6659373Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6659438Z     tmp1 = 1
2022-11-23T01:32:32.6659519Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6659598Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6659736Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6659830Z ''')
2022-11-23T01:32:32.6659835Z 
2022-11-23T01:32:32.6659840Z 
2022-11-23T01:32:32.6659933Z async_compile.wait(globals())
2022-11-23T01:32:32.6660010Z del async_compile
2022-11-23T01:32:32.6660015Z 
2022-11-23T01:32:32.6660090Z def call(args):
2022-11-23T01:32:32.6660164Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6660239Z     args.clear()
2022-11-23T01:32:32.6660476Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6660568Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6660728Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.6660804Z     del arg0_1
2022-11-23T01:32:32.6660878Z     del arg1_1
2022-11-23T01:32:32.6660948Z     return (buf0, )
2022-11-23T01:32:32.6660953Z 
2022-11-23T01:32:32.6660964Z 
2022-11-23T01:32:32.6661038Z if __name__ == "__main__":
2022-11-23T01:32:32.6661162Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6661295Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6661516Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6661747Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6661867Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6661872Z 
2022-11-23T01:32:32.6662232Z [2022-11-23 01:30:52,521] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/62/c624qtxfybhqd5m33hijh4ifjppafsf52lm3c2lapdguofke47v4.py
2022-11-23T01:32:32.6662564Z [2022-11-23 01:30:52,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 830
2022-11-23T01:32:32.6662800Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6663115Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6663369Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6663622Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6663900Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6664219Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6664565Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6664887Z [2022-11-23 01:30:52,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6665260Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6665360Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6665456Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6665560Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6665654Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6665752Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6665831Z              10 BINARY_ADD
2022-11-23T01:32:32.6665929Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6666011Z              14 RETURN_VALUE
2022-11-23T01:32:32.6666071Z  
2022-11-23T01:32:32.6666076Z 
2022-11-23T01:32:32.6666386Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6666605Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6666848Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6667129Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6667429Z [2022-11-23 01:30:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6667669Z [2022-11-23 01:30:52,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6667943Z [2022-11-23 01:30:52,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6668186Z [2022-11-23 01:30:52,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6668436Z [2022-11-23 01:30:52,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6668800Z [2022-11-23 01:30:52,527] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6669045Z [2022-11-23 01:30:52,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6669280Z [2022-11-23 01:30:52,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6669565Z [2022-11-23 01:30:52,529] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6669822Z [2022-11-23 01:30:52,531] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6670016Z [2022-11-23 01:30:52,532] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6670181Z  __compiled_fn_849 <eval_with_key>.5224 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6670347Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6670447Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6670568Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T01:32:32.6670754Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6670856Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6670862Z 
2022-11-23T01:32:32.6671193Z [2022-11-23 01:30:52,532] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6671296Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6671393Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6671489Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6671581Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6671676Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6671770Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6671852Z              12 RETURN_VALUE
2022-11-23T01:32:32.6671857Z 
2022-11-23T01:32:32.6671922Z  
2022-11-23T01:32:32.6672247Z [2022-11-23 01:30:52,532] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6672365Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_849)
2022-11-23T01:32:32.6672461Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6672551Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6672642Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6672737Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6672833Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6672913Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6673006Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6673122Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6673252Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6673359Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6673453Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6673555Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6673663Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6673761Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6673841Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6673931Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6674032Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6674138Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6674232Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6674316Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6674426Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6674522Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6674627Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6674714Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6674795Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6674904Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6674984Z              54 RETURN_VALUE
2022-11-23T01:32:32.6674989Z 
2022-11-23T01:32:32.6675054Z  
2022-11-23T01:32:32.6675245Z [2022-11-23 01:30:52,533] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6675352Z  - 
2022-11-23T01:32:32.6675471Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6675541Z             {
2022-11-23T01:32:32.6675689Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6675881Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6676027Z                 'obj_weakref': None
2022-11-23T01:32:32.6676255Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6676325Z             }
2022-11-23T01:32:32.6676386Z             
2022-11-23T01:32:32.6676461Z  - 
2022-11-23T01:32:32.6676591Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6676660Z             {
2022-11-23T01:32:32.6676809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6676921Z                 'code': None,
2022-11-23T01:32:32.6677140Z                 'obj_weakref': <weakref at 0x7f1fd97dafc0; to 'Tensor' at 0x7f1f25e71a80>
2022-11-23T01:32:32.6677390Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6677459Z             }
2022-11-23T01:32:32.6677527Z             
2022-11-23T01:32:32.6677603Z  - 
2022-11-23T01:32:32.6677731Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6677804Z             {
2022-11-23T01:32:32.6677954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6678059Z                 'code': None,
2022-11-23T01:32:32.6678273Z                 'obj_weakref': <weakref at 0x7f1f25eae840; to 'Tensor' at 0x7f2022f7a660>
2022-11-23T01:32:32.6678527Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6678598Z             }
2022-11-23T01:32:32.6678667Z             
2022-11-23T01:32:32.6678744Z  - 
2022-11-23T01:32:32.6678880Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6678941Z             {
2022-11-23T01:32:32.6679084Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6679260Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6679384Z                 'obj_weakref': None
2022-11-23T01:32:32.6679615Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6679686Z             }
2022-11-23T01:32:32.6679754Z             
2022-11-23T01:32:32.6679822Z  - 
2022-11-23T01:32:32.6679947Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6680019Z             {
2022-11-23T01:32:32.6680161Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6680381Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6680503Z                 'obj_weakref': None
2022-11-23T01:32:32.6680728Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6680789Z             }
2022-11-23T01:32:32.6680855Z             
2022-11-23T01:32:32.6680933Z  - 
2022-11-23T01:32:32.6681118Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6681185Z             {
2022-11-23T01:32:32.6681359Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6681984Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:32.6682108Z                 'obj_weakref': None
2022-11-23T01:32:32.6682325Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6682393Z             }
2022-11-23T01:32:32.6682460Z             
2022-11-23T01:32:32.6682567Z  - 
2022-11-23T01:32:32.6682775Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6682851Z             {
2022-11-23T01:32:32.6683024Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6683300Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6683445Z                 'obj_weakref': None
2022-11-23T01:32:32.6683666Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6683734Z             }
2022-11-23T01:32:32.6683802Z             
2022-11-23T01:32:32.6683878Z  - 
2022-11-23T01:32:32.6684067Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6684128Z             {
2022-11-23T01:32:32.6684275Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6684559Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:32.6684682Z                 'obj_weakref': None
2022-11-23T01:32:32.6684903Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6684975Z             }
2022-11-23T01:32:32.6685043Z             
2022-11-23T01:32:32.6685119Z  - 
2022-11-23T01:32:32.6685301Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6685372Z             {
2022-11-23T01:32:32.6685523Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6685808Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.6685932Z                 'obj_weakref': None
2022-11-23T01:32:32.6686151Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6686222Z             }
2022-11-23T01:32:32.6686283Z             
2022-11-23T01:32:32.6686549Z [2022-11-23 01:30:52,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 831
2022-11-23T01:32:32.6686803Z [2022-11-23 01:30:52,542] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6687178Z [2022-11-23 01:30:52,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jv/cjvl2ifcsdvbafnm3wox56ipkglvug3hxghl3ck5dyqfl3qkstxq.py
2022-11-23T01:32:32.6687449Z [2022-11-23 01:30:52,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 831
2022-11-23T01:32:32.6687695Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6688012Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6688236Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6688497Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6688767Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6689088Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6689433Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6689758Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6690171Z [2022-11-23 01:30:52,612] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6690274Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6690372Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6690479Z               4 BINARY_ADD
2022-11-23T01:32:32.6690580Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6690672Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6690767Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6690865Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6690943Z              14 BINARY_ADD
2022-11-23T01:32:32.6691041Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6691123Z              18 RETURN_VALUE
2022-11-23T01:32:32.6691188Z  
2022-11-23T01:32:32.6691194Z 
2022-11-23T01:32:32.6691516Z [2022-11-23 01:30:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6691727Z [2022-11-23 01:30:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6691969Z [2022-11-23 01:30:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6692261Z [2022-11-23 01:30:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6692506Z [2022-11-23 01:30:52,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6692805Z [2022-11-23 01:30:52,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6693142Z [2022-11-23 01:30:52,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6693384Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6693659Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6693906Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6694151Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6694528Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6694777Z [2022-11-23 01:30:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6695014Z [2022-11-23 01:30:52,616] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6695274Z [2022-11-23 01:30:52,617] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6695531Z [2022-11-23 01:30:52,620] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6695726Z [2022-11-23 01:30:52,620] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6695870Z  __compiled_fn_850 <eval_with_key>.5230 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6695965Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6696050Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6696230Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6696337Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T01:32:32.6696523Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6696624Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6696629Z 
2022-11-23T01:32:32.6696985Z [2022-11-23 01:30:52,621] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6697088Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6697184Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6697270Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6697394Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6697485Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6697580Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6697661Z              12 RETURN_VALUE
2022-11-23T01:32:32.6697667Z 
2022-11-23T01:32:32.6697735Z  
2022-11-23T01:32:32.6698058Z [2022-11-23 01:30:52,621] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6698174Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_850)
2022-11-23T01:32:32.6698262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6698361Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6698443Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6698538Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6698631Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6698713Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6698999Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6699104Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6699241Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6699345Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6699439Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6699541Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6699649Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6699746Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6699824Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6699918Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6700016Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6700123Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6700220Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6700300Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6700407Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6700498Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6700601Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6700700Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6700781Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6700888Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6700968Z              54 RETURN_VALUE
2022-11-23T01:32:32.6700974Z 
2022-11-23T01:32:32.6701039Z  
2022-11-23T01:32:32.6701231Z [2022-11-23 01:30:52,622] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6701299Z  - 
2022-11-23T01:32:32.6701423Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6701492Z             {
2022-11-23T01:32:32.6701637Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6701829Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6701952Z                 'obj_weakref': None
2022-11-23T01:32:32.6702175Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6702237Z             }
2022-11-23T01:32:32.6702305Z             
2022-11-23T01:32:32.6702379Z  - 
2022-11-23T01:32:32.6702510Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6702577Z             {
2022-11-23T01:32:32.6702727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6702841Z                 'code': None,
2022-11-23T01:32:32.6703092Z                 'obj_weakref': <weakref at 0x7f2072845850; to 'Tensor' at 0x7f1f25ecd170>
2022-11-23T01:32:32.6703349Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6703418Z             }
2022-11-23T01:32:32.6703488Z             
2022-11-23T01:32:32.6703594Z  - 
2022-11-23T01:32:32.6703723Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6703792Z             {
2022-11-23T01:32:32.6703933Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6704046Z                 'code': None,
2022-11-23T01:32:32.6704261Z                 'obj_weakref': <weakref at 0x7f1f25b96070; to 'Tensor' at 0x7f1f25ecc130>
2022-11-23T01:32:32.6704514Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6704582Z             }
2022-11-23T01:32:32.6704651Z             
2022-11-23T01:32:32.6704725Z  - 
2022-11-23T01:32:32.6704853Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6704923Z             {
2022-11-23T01:32:32.6705064Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6705240Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6705363Z                 'obj_weakref': None
2022-11-23T01:32:32.6705601Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6705668Z             }
2022-11-23T01:32:32.6705729Z             
2022-11-23T01:32:32.6705803Z  - 
2022-11-23T01:32:32.6705929Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6705996Z             {
2022-11-23T01:32:32.6706140Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6706361Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6706485Z                 'obj_weakref': None
2022-11-23T01:32:32.6706703Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6706774Z             }
2022-11-23T01:32:32.6706844Z             
2022-11-23T01:32:32.6706921Z  - 
2022-11-23T01:32:32.6707105Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6707177Z             {
2022-11-23T01:32:32.6707352Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6707971Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:32.6708096Z                 'obj_weakref': None
2022-11-23T01:32:32.6708320Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6708388Z             }
2022-11-23T01:32:32.6708458Z             
2022-11-23T01:32:32.6708533Z  - 
2022-11-23T01:32:32.6708723Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6708791Z             {
2022-11-23T01:32:32.6708931Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6709220Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6709344Z                 'obj_weakref': None
2022-11-23T01:32:32.6709565Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6709633Z             }
2022-11-23T01:32:32.6709701Z             
2022-11-23T01:32:32.6709781Z  - 
2022-11-23T01:32:32.6709963Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6710031Z             {
2022-11-23T01:32:32.6710179Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6710598Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:32.6710725Z                 'obj_weakref': None
2022-11-23T01:32:32.6710946Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6711040Z             }
2022-11-23T01:32:32.6711108Z             
2022-11-23T01:32:32.6711176Z  - 
2022-11-23T01:32:32.6711367Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6711435Z             {
2022-11-23T01:32:32.6711583Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6711874Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.6711998Z                 'obj_weakref': None
2022-11-23T01:32:32.6712220Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6712282Z             }
2022-11-23T01:32:32.6712351Z             
2022-11-23T01:32:32.6712616Z [2022-11-23 01:30:52,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 832
2022-11-23T01:32:32.6712874Z [2022-11-23 01:30:52,633] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6713244Z [2022-11-23 01:30:52,699] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zi/czio2orfj4wtgy3oqddqussehtnloffdtpa4fmals4srxpncr3sp.py
2022-11-23T01:32:32.6713516Z [2022-11-23 01:30:52,699] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 832
2022-11-23T01:32:32.6713759Z [2022-11-23 01:30:52,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6714081Z [2022-11-23 01:30:52,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6714304Z [2022-11-23 01:30:52,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6714554Z [2022-11-23 01:30:52,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6714838Z [2022-11-23 01:30:52,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6715161Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6715508Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6715834Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6716213Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6716313Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6716416Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6716496Z               4 BINARY_ADD
2022-11-23T01:32:32.6716589Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6716689Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6716782Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6716880Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6716959Z              14 BINARY_ADD
2022-11-23T01:32:32.6717054Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6717135Z              18 RETURN_VALUE
2022-11-23T01:32:32.6717195Z  
2022-11-23T01:32:32.6717200Z 
2022-11-23T01:32:32.6717552Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6717771Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6718014Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6718321Z [2022-11-23 01:30:52,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6718568Z [2022-11-23 01:30:52,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6718851Z [2022-11-23 01:30:52,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6719156Z [2022-11-23 01:30:52,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6719401Z [2022-11-23 01:30:52,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6719676Z [2022-11-23 01:30:52,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6719916Z [2022-11-23 01:30:52,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6720169Z [2022-11-23 01:30:52,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6720547Z [2022-11-23 01:30:52,706] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6720799Z [2022-11-23 01:30:52,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6721040Z [2022-11-23 01:30:52,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6721302Z [2022-11-23 01:30:52,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6721555Z [2022-11-23 01:30:52,711] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6721757Z [2022-11-23 01:30:52,711] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6721898Z  __compiled_fn_851 <eval_with_key>.5236 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6721986Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6722078Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6722256Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6722364Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T01:32:32.6722551Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6722653Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6722658Z 
2022-11-23T01:32:32.6723017Z [2022-11-23 01:30:52,712] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6723136Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6723235Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6723333Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6723433Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6723526Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6723620Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6723701Z              12 RETURN_VALUE
2022-11-23T01:32:32.6723706Z 
2022-11-23T01:32:32.6723772Z  
2022-11-23T01:32:32.6724089Z [2022-11-23 01:30:52,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6724207Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_851)
2022-11-23T01:32:32.6724334Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6724436Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6724519Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6724614Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6724710Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6724814Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6724901Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6725012Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6725151Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6725256Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6725348Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6725451Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6725558Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6725650Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6725732Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6725826Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6725925Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6726031Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6726130Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6726210Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6726314Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6726413Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6726518Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6726612Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6726693Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6726800Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6726880Z              54 RETURN_VALUE
2022-11-23T01:32:32.6726885Z 
2022-11-23T01:32:32.6726953Z  
2022-11-23T01:32:32.6727136Z [2022-11-23 01:30:52,713] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6727213Z  - 
2022-11-23T01:32:32.6727337Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6727407Z             {
2022-11-23T01:32:32.6727556Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6727747Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6727869Z                 'obj_weakref': None
2022-11-23T01:32:32.6728086Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6728156Z             }
2022-11-23T01:32:32.6728225Z             
2022-11-23T01:32:32.6728301Z  - 
2022-11-23T01:32:32.6728431Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6728500Z             {
2022-11-23T01:32:32.6728641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6728753Z                 'code': None,
2022-11-23T01:32:32.6728967Z                 'obj_weakref': <weakref at 0x7f2060788f40; to 'Tensor' at 0x7f2115ad99e0>
2022-11-23T01:32:32.6729217Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6729287Z             }
2022-11-23T01:32:32.6729358Z             
2022-11-23T01:32:32.6729434Z  - 
2022-11-23T01:32:32.6729561Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6729623Z             {
2022-11-23T01:32:32.6729771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6729882Z                 'code': None,
2022-11-23T01:32:32.6730093Z                 'obj_weakref': <weakref at 0x7f1ff8163740; to 'Tensor' at 0x7f1fd97d9d00>
2022-11-23T01:32:32.6730344Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6730413Z             }
2022-11-23T01:32:32.6730481Z             
2022-11-23T01:32:32.6730550Z  - 
2022-11-23T01:32:32.6730718Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6730789Z             {
2022-11-23T01:32:32.6730930Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6731104Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6731246Z                 'obj_weakref': None
2022-11-23T01:32:32.6731473Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6731535Z             }
2022-11-23T01:32:32.6731603Z             
2022-11-23T01:32:32.6731679Z  - 
2022-11-23T01:32:32.6731803Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6731871Z             {
2022-11-23T01:32:32.6732013Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6732229Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6732344Z                 'obj_weakref': None
2022-11-23T01:32:32.6732567Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6732636Z             }
2022-11-23T01:32:32.6732704Z             
2022-11-23T01:32:32.6732788Z  - 
2022-11-23T01:32:32.6732997Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6733080Z             {
2022-11-23T01:32:32.6733246Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6733853Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:32.6733979Z                 'obj_weakref': None
2022-11-23T01:32:32.6734202Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6734271Z             }
2022-11-23T01:32:32.6734339Z             
2022-11-23T01:32:32.6734416Z  - 
2022-11-23T01:32:32.6734605Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6734667Z             {
2022-11-23T01:32:32.6734821Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6735105Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6735233Z                 'obj_weakref': None
2022-11-23T01:32:32.6735455Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6735522Z             }
2022-11-23T01:32:32.6735592Z             
2022-11-23T01:32:32.6735661Z  - 
2022-11-23T01:32:32.6735850Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6735918Z             {
2022-11-23T01:32:32.6736068Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6736350Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:32.6736474Z                 'obj_weakref': None
2022-11-23T01:32:32.6736697Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6736766Z             }
2022-11-23T01:32:32.6736827Z             
2022-11-23T01:32:32.6736903Z  - 
2022-11-23T01:32:32.6737093Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.6737161Z             {
2022-11-23T01:32:32.6737309Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6737592Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.6737716Z                 'obj_weakref': None
2022-11-23T01:32:32.6737976Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6738047Z             }
2022-11-23T01:32:32.6738119Z             
2022-11-23T01:32:32.6738385Z [2022-11-23 01:30:52,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 833
2022-11-23T01:32:32.6738666Z [2022-11-23 01:30:52,724] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6738672Z 
2022-11-23T01:32:32.6738913Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6739016Z import torch
2022-11-23T01:32:32.6739110Z import random
2022-11-23T01:32:32.6739272Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6739443Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6739451Z 
2022-11-23T01:32:32.6739540Z aten = torch.ops.aten
2022-11-23T01:32:32.6739683Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6739784Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6739789Z 
2022-11-23T01:32:32.6739864Z import triton
2022-11-23T01:32:32.6739958Z import triton.language as tl
2022-11-23T01:32:32.6740078Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6740225Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6740233Z 
2022-11-23T01:32:32.6740237Z 
2022-11-23T01:32:32.6740411Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6740485Z import triton
2022-11-23T01:32:32.6740579Z import triton.language as tl
2022-11-23T01:32:32.6740694Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6740798Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6740935Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6741056Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6741061Z 
2022-11-23T01:32:32.6741456Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6741530Z @triton.jit
2022-11-23T01:32:32.6741673Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6741751Z     xnumel = 1000
2022-11-23T01:32:32.6741849Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6741982Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6742065Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6742130Z     x0 = xindex
2022-11-23T01:32:32.6742230Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6742328Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6742408Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6742546Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6742633Z ''')
2022-11-23T01:32:32.6742638Z 
2022-11-23T01:32:32.6742643Z 
2022-11-23T01:32:32.6742738Z async_compile.wait(globals())
2022-11-23T01:32:32.6742809Z del async_compile
2022-11-23T01:32:32.6742814Z 
2022-11-23T01:32:32.6742889Z def call(args):
2022-11-23T01:32:32.6742968Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6743044Z     args.clear()
2022-11-23T01:32:32.6743257Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6743350Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6743502Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.6743568Z     del arg0_1
2022-11-23T01:32:32.6743643Z     del arg1_1
2022-11-23T01:32:32.6743719Z     return (buf0, )
2022-11-23T01:32:32.6743724Z 
2022-11-23T01:32:32.6743729Z 
2022-11-23T01:32:32.6743809Z if __name__ == "__main__":
2022-11-23T01:32:32.6743929Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6744058Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6744335Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6744549Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6744663Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6744675Z 
2022-11-23T01:32:32.6744710Z 
2022-11-23T01:32:32.6744802Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6744877Z import torch
2022-11-23T01:32:32.6744951Z import random
2022-11-23T01:32:32.6745072Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6745200Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6745205Z 
2022-11-23T01:32:32.6745286Z aten = torch.ops.aten
2022-11-23T01:32:32.6745426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6745516Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6745521Z 
2022-11-23T01:32:32.6745596Z import triton
2022-11-23T01:32:32.6745690Z import triton.language as tl
2022-11-23T01:32:32.6745820Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6745965Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6745970Z 
2022-11-23T01:32:32.6745975Z 
2022-11-23T01:32:32.6746140Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6746218Z import triton
2022-11-23T01:32:32.6746312Z import triton.language as tl
2022-11-23T01:32:32.6746421Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6746524Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6746660Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6746786Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6746791Z 
2022-11-23T01:32:32.6747179Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6747253Z @triton.jit
2022-11-23T01:32:32.6747401Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6747475Z     xnumel = 1000
2022-11-23T01:32:32.6747566Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6747697Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6747783Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6747860Z     x0 = xindex
2022-11-23T01:32:32.6747980Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6748098Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6748177Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6748308Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6748394Z ''')
2022-11-23T01:32:32.6748400Z 
2022-11-23T01:32:32.6748404Z 
2022-11-23T01:32:32.6748501Z async_compile.wait(globals())
2022-11-23T01:32:32.6748580Z del async_compile
2022-11-23T01:32:32.6748585Z 
2022-11-23T01:32:32.6748661Z def call(args):
2022-11-23T01:32:32.6748745Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6748823Z     args.clear()
2022-11-23T01:32:32.6749025Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6749117Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6749266Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.6749344Z     del arg0_1
2022-11-23T01:32:32.6749419Z     del arg1_1
2022-11-23T01:32:32.6749495Z     return (buf0, )
2022-11-23T01:32:32.6749500Z 
2022-11-23T01:32:32.6749504Z 
2022-11-23T01:32:32.6749584Z if __name__ == "__main__":
2022-11-23T01:32:32.6749703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6749825Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6750026Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6750236Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6750503Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6750510Z 
2022-11-23T01:32:32.6750515Z 
2022-11-23T01:32:32.6750631Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6750723Z import torch
2022-11-23T01:32:32.6750798Z import random
2022-11-23T01:32:32.6750947Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6751066Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6751071Z 
2022-11-23T01:32:32.6751153Z aten = torch.ops.aten
2022-11-23T01:32:32.6751293Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6751390Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6751396Z 
2022-11-23T01:32:32.6751470Z import triton
2022-11-23T01:32:32.6751561Z import triton.language as tl
2022-11-23T01:32:32.6751688Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6751825Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6751837Z 
2022-11-23T01:32:32.6751844Z 
2022-11-23T01:32:32.6752013Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.6752087Z import triton
2022-11-23T01:32:32.6752180Z import triton.language as tl
2022-11-23T01:32:32.6752295Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6752401Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6752538Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6752664Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6752669Z 
2022-11-23T01:32:32.6753049Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6753115Z @triton.jit
2022-11-23T01:32:32.6753258Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6753334Z     xnumel = 1000
2022-11-23T01:32:32.6753436Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6753568Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6753655Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6753726Z     x0 = xindex
2022-11-23T01:32:32.6753816Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6753917Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6753990Z     tmp1 = 1
2022-11-23T01:32:32.6754070Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6754147Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6754285Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6754373Z ''')
2022-11-23T01:32:32.6754378Z 
2022-11-23T01:32:32.6754383Z 
2022-11-23T01:32:32.6754468Z async_compile.wait(globals())
2022-11-23T01:32:32.6754546Z del async_compile
2022-11-23T01:32:32.6754551Z 
2022-11-23T01:32:32.6754627Z def call(args):
2022-11-23T01:32:32.6754706Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6754780Z     args.clear()
2022-11-23T01:32:32.6754994Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6755085Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6755241Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.6755310Z     del arg0_1
2022-11-23T01:32:32.6755383Z     del arg1_1
2022-11-23T01:32:32.6755459Z     return (buf0, )
2022-11-23T01:32:32.6755464Z 
2022-11-23T01:32:32.6755469Z 
2022-11-23T01:32:32.6755550Z if __name__ == "__main__":
2022-11-23T01:32:32.6755670Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6755802Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6756003Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6756206Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6756327Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6756377Z 
2022-11-23T01:32:32.6756738Z [2022-11-23 01:30:52,789] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nx/cnxgbrn3q7i5cfcmnx3yejn2e4ruvb2u2jtxbi4vvnzcrxyrdui5.py
2022-11-23T01:32:32.6757004Z [2022-11-23 01:30:52,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 833
2022-11-23T01:32:32.6757266Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6757581Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6757802Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6758055Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6758337Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6758653Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6758995Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6759317Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6759689Z [2022-11-23 01:30:52,793] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6759789Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6759890Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6759992Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6760085Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6760183Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6760261Z              10 BINARY_ADD
2022-11-23T01:32:32.6760350Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6760437Z              14 RETURN_VALUE
2022-11-23T01:32:32.6760503Z  
2022-11-23T01:32:32.6760508Z 
2022-11-23T01:32:32.6760821Z [2022-11-23 01:30:52,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6761036Z [2022-11-23 01:30:52,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6761280Z [2022-11-23 01:30:52,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6761564Z [2022-11-23 01:30:52,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6761874Z [2022-11-23 01:30:52,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6762108Z [2022-11-23 01:30:52,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6762389Z [2022-11-23 01:30:52,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6762635Z [2022-11-23 01:30:52,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6762883Z [2022-11-23 01:30:52,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6763312Z [2022-11-23 01:30:52,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6763582Z [2022-11-23 01:30:52,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6763817Z [2022-11-23 01:30:52,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6764075Z [2022-11-23 01:30:52,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6764355Z [2022-11-23 01:30:52,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6764548Z [2022-11-23 01:30:52,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6764684Z  __compiled_fn_852 <eval_with_key>.5242 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6764778Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6764872Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6764973Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T01:32:32.6765159Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6765262Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6765268Z 
2022-11-23T01:32:32.6765597Z [2022-11-23 01:30:52,801] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6765697Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6765789Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6765884Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6765984Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6766077Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6766171Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6766251Z              12 RETURN_VALUE
2022-11-23T01:32:32.6766256Z 
2022-11-23T01:32:32.6766322Z  
2022-11-23T01:32:32.6766638Z [2022-11-23 01:30:52,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6766757Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_852)
2022-11-23T01:32:32.6766854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6766950Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6767031Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6767128Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6767222Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6767296Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6767390Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6767505Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6767642Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6767746Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6767839Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6767940Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6768051Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6768139Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6768220Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6768314Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6768416Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6768522Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6768617Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6768696Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6768798Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6768893Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6768995Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6769088Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6769168Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6769304Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6769386Z              54 RETURN_VALUE
2022-11-23T01:32:32.6769391Z 
2022-11-23T01:32:32.6769450Z  
2022-11-23T01:32:32.6769640Z [2022-11-23 01:30:52,802] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6769736Z  - 
2022-11-23T01:32:32.6769861Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6769930Z             {
2022-11-23T01:32:32.6770077Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6770266Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6770382Z                 'obj_weakref': None
2022-11-23T01:32:32.6770607Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6770678Z             }
2022-11-23T01:32:32.6770748Z             
2022-11-23T01:32:32.6770826Z  - 
2022-11-23T01:32:32.6770954Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6771021Z             {
2022-11-23T01:32:32.6771165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6771276Z                 'code': None,
2022-11-23T01:32:32.6771492Z                 'obj_weakref': <weakref at 0x7f1ffad31ad0; to 'Tensor' at 0x7f2115ad99e0>
2022-11-23T01:32:32.6771743Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6771815Z             }
2022-11-23T01:32:32.6771883Z             
2022-11-23T01:32:32.6771959Z  - 
2022-11-23T01:32:32.6772079Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6772148Z             {
2022-11-23T01:32:32.6772296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6772407Z                 'code': None,
2022-11-23T01:32:32.6772619Z                 'obj_weakref': <weakref at 0x7f207277d8f0; to 'Tensor' at 0x7f1feadc1ad0>
2022-11-23T01:32:32.6772894Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6772978Z             }
2022-11-23T01:32:32.6773062Z             
2022-11-23T01:32:32.6773130Z  - 
2022-11-23T01:32:32.6773268Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6773336Z             {
2022-11-23T01:32:32.6773476Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6773657Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6773780Z                 'obj_weakref': None
2022-11-23T01:32:32.6774007Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6774075Z             }
2022-11-23T01:32:32.6774142Z             
2022-11-23T01:32:32.6774223Z  - 
2022-11-23T01:32:32.6774349Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6774417Z             {
2022-11-23T01:32:32.6774559Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6774773Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6774898Z                 'obj_weakref': None
2022-11-23T01:32:32.6775124Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6775192Z             }
2022-11-23T01:32:32.6775261Z             
2022-11-23T01:32:32.6775338Z  - 
2022-11-23T01:32:32.6775525Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6775586Z             {
2022-11-23T01:32:32.6775759Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6776194Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:32.6776321Z                 'obj_weakref': None
2022-11-23T01:32:32.6776546Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6776645Z             }
2022-11-23T01:32:32.6776715Z             
2022-11-23T01:32:32.6776791Z  - 
2022-11-23T01:32:32.6776973Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6777043Z             {
2022-11-23T01:32:32.6777213Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6777497Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6777621Z                 'obj_weakref': None
2022-11-23T01:32:32.6777842Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6777910Z             }
2022-11-23T01:32:32.6777971Z             
2022-11-23T01:32:32.6778236Z [2022-11-23 01:30:52,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 834
2022-11-23T01:32:32.6778492Z [2022-11-23 01:30:52,810] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6779061Z [2022-11-23 01:30:52,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cnyij4mezyg5c4fmik2a7daarmj4qyjzigiprwzly4dxptnz2y2h.py
2022-11-23T01:32:32.6779336Z [2022-11-23 01:30:52,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 834
2022-11-23T01:32:32.6779578Z [2022-11-23 01:30:52,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6779890Z [2022-11-23 01:30:52,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6780110Z [2022-11-23 01:30:52,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6780363Z [2022-11-23 01:30:52,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6780642Z [2022-11-23 01:30:52,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6780952Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6781301Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6781627Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6782001Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6782101Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6782203Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6782306Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6782400Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6782497Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6782568Z              10 BINARY_ADD
2022-11-23T01:32:32.6782665Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6782747Z              14 RETURN_VALUE
2022-11-23T01:32:32.6782813Z  
2022-11-23T01:32:32.6782819Z 
2022-11-23T01:32:32.6783129Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6783341Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6783584Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6783914Z [2022-11-23 01:30:52,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6784210Z [2022-11-23 01:30:52,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6784451Z [2022-11-23 01:30:52,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6784756Z [2022-11-23 01:30:52,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6785001Z [2022-11-23 01:30:52,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6785252Z [2022-11-23 01:30:52,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6785635Z [2022-11-23 01:30:52,878] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6785888Z [2022-11-23 01:30:52,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6786126Z [2022-11-23 01:30:52,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6786385Z [2022-11-23 01:30:52,880] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6786641Z [2022-11-23 01:30:52,882] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6786828Z [2022-11-23 01:30:52,883] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6786975Z  __compiled_fn_853 <eval_with_key>.5248 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6787070Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6787164Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6787264Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T01:32:32.6787449Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6787554Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6787560Z 
2022-11-23T01:32:32.6787890Z [2022-11-23 01:30:52,883] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6787987Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6788085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6788178Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6788279Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6788372Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6788467Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6788550Z              12 RETURN_VALUE
2022-11-23T01:32:32.6788555Z 
2022-11-23T01:32:32.6788614Z  
2022-11-23T01:32:32.6788940Z [2022-11-23 01:30:52,883] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6789059Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_853)
2022-11-23T01:32:32.6789157Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6789255Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6789342Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6789436Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6789530Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6789604Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6789698Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6789810Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6789948Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6790054Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6790151Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6790358Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6790476Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6790586Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6790678Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6790773Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6790896Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6791007Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6791101Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6791174Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6791284Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6791382Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6791486Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6791580Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6791661Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6791773Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6791845Z              54 RETURN_VALUE
2022-11-23T01:32:32.6791858Z 
2022-11-23T01:32:32.6791916Z  
2022-11-23T01:32:32.6792109Z [2022-11-23 01:30:52,884] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6792188Z  - 
2022-11-23T01:32:32.6792314Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6792382Z             {
2022-11-23T01:32:32.6792529Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6792712Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6792836Z                 'obj_weakref': None
2022-11-23T01:32:32.6793059Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6793128Z             }
2022-11-23T01:32:32.6793197Z             
2022-11-23T01:32:32.6793273Z  - 
2022-11-23T01:32:32.6793402Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6793463Z             {
2022-11-23T01:32:32.6793612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6793725Z                 'code': None,
2022-11-23T01:32:32.6793941Z                 'obj_weakref': <weakref at 0x7f1fd97dab60; to 'Tensor' at 0x7f2060789350>
2022-11-23T01:32:32.6794197Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6794266Z             }
2022-11-23T01:32:32.6794334Z             
2022-11-23T01:32:32.6794402Z  - 
2022-11-23T01:32:32.6794529Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6794598Z             {
2022-11-23T01:32:32.6794746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6794859Z                 'code': None,
2022-11-23T01:32:32.6795077Z                 'obj_weakref': <weakref at 0x7f1fe81b6660; to 'Tensor' at 0x7f207274fdd0>
2022-11-23T01:32:32.6795328Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6795396Z             }
2022-11-23T01:32:32.6795457Z             
2022-11-23T01:32:32.6795531Z  - 
2022-11-23T01:32:32.6795668Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6795737Z             {
2022-11-23T01:32:32.6795880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6796057Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6796175Z                 'obj_weakref': None
2022-11-23T01:32:32.6796406Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6796477Z             }
2022-11-23T01:32:32.6796544Z             
2022-11-23T01:32:32.6796619Z  - 
2022-11-23T01:32:32.6796747Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6796815Z             {
2022-11-23T01:32:32.6796950Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6797209Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6797335Z                 'obj_weakref': None
2022-11-23T01:32:32.6797559Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6797628Z             }
2022-11-23T01:32:32.6797695Z             
2022-11-23T01:32:32.6797794Z  - 
2022-11-23T01:32:32.6797970Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6798038Z             {
2022-11-23T01:32:32.6798211Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6798642Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:32.6798766Z                 'obj_weakref': None
2022-11-23T01:32:32.6798991Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6799060Z             }
2022-11-23T01:32:32.6799128Z             
2022-11-23T01:32:32.6799196Z  - 
2022-11-23T01:32:32.6799385Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6799454Z             {
2022-11-23T01:32:32.6799605Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6799892Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6800015Z                 'obj_weakref': None
2022-11-23T01:32:32.6800235Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6800303Z             }
2022-11-23T01:32:32.6800364Z             
2022-11-23T01:32:32.6800631Z [2022-11-23 01:30:52,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 835
2022-11-23T01:32:32.6800889Z [2022-11-23 01:30:52,892] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6801259Z [2022-11-23 01:30:52,954] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mc/cmcvwkqqlgy5zpbcslgyfthartro3wijmvvipkioxzpupsns5m7o.py
2022-11-23T01:32:32.6801530Z [2022-11-23 01:30:52,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 835
2022-11-23T01:32:32.6801770Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6802084Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6802303Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6802560Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6802837Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6803201Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6803555Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6803881Z [2022-11-23 01:30:52,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6804255Z [2022-11-23 01:30:52,959] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6804355Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6804491Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6804572Z               4 BINARY_ADD
2022-11-23T01:32:32.6804673Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6804764Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6804857Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6804983Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6805061Z              14 BINARY_ADD
2022-11-23T01:32:32.6805157Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6805242Z              18 RETURN_VALUE
2022-11-23T01:32:32.6805309Z  
2022-11-23T01:32:32.6805314Z 
2022-11-23T01:32:32.6805619Z [2022-11-23 01:30:52,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6805832Z [2022-11-23 01:30:52,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6806077Z [2022-11-23 01:30:52,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6806357Z [2022-11-23 01:30:52,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6806599Z [2022-11-23 01:30:52,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6806884Z [2022-11-23 01:30:52,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6807181Z [2022-11-23 01:30:52,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6807419Z [2022-11-23 01:30:52,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6807689Z [2022-11-23 01:30:52,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6807936Z [2022-11-23 01:30:52,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6808179Z [2022-11-23 01:30:52,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6808559Z [2022-11-23 01:30:52,962] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6808814Z [2022-11-23 01:30:52,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6809053Z [2022-11-23 01:30:52,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6809313Z [2022-11-23 01:30:52,963] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6809566Z [2022-11-23 01:30:52,966] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6809763Z [2022-11-23 01:30:52,966] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6809905Z  __compiled_fn_854 <eval_with_key>.5254 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6809999Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6810085Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6810267Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6810368Z call_method, view, view, (add, [10]), {}
2022-11-23T01:32:32.6810557Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6810658Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6810664Z 
2022-11-23T01:32:32.6810996Z [2022-11-23 01:30:52,967] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6811096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6811186Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6811310Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6811412Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6811507Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6811603Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6811685Z              12 RETURN_VALUE
2022-11-23T01:32:32.6811719Z 
2022-11-23T01:32:32.6811791Z  
2022-11-23T01:32:32.6812115Z [2022-11-23 01:30:52,967] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6812226Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_854)
2022-11-23T01:32:32.6812322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6812420Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6812501Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6812595Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6812693Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6812777Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6812885Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6813007Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6813160Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6813268Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6813361Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6813463Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6813570Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6813665Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6813739Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6813834Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6813932Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6814038Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6814134Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6814215Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6814326Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6814416Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6814527Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6814622Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6814703Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6814811Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6814892Z              54 RETURN_VALUE
2022-11-23T01:32:32.6814897Z 
2022-11-23T01:32:32.6814963Z  
2022-11-23T01:32:32.6815143Z [2022-11-23 01:30:52,968] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6815219Z  - 
2022-11-23T01:32:32.6815343Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6815411Z             {
2022-11-23T01:32:32.6815559Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6815750Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6815873Z                 'obj_weakref': None
2022-11-23T01:32:32.6816087Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6816160Z             }
2022-11-23T01:32:32.6816228Z             
2022-11-23T01:32:32.6816303Z  - 
2022-11-23T01:32:32.6816431Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6816499Z             {
2022-11-23T01:32:32.6816646Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6816750Z                 'code': None,
2022-11-23T01:32:32.6816962Z                 'obj_weakref': <weakref at 0x7f201e6fb920; to 'Tensor' at 0x7f207274fdd0>
2022-11-23T01:32:32.6817210Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6817279Z             }
2022-11-23T01:32:32.6817347Z             
2022-11-23T01:32:32.6817452Z  - 
2022-11-23T01:32:32.6817578Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6817640Z             {
2022-11-23T01:32:32.6817785Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6817897Z                 'code': None,
2022-11-23T01:32:32.6818132Z                 'obj_weakref': <weakref at 0x7f1f360e4810; to 'Tensor' at 0x7f1f25b75c60>
2022-11-23T01:32:32.6818384Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6818453Z             }
2022-11-23T01:32:32.6818521Z             
2022-11-23T01:32:32.6818590Z  - 
2022-11-23T01:32:32.6818728Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6818984Z             {
2022-11-23T01:32:32.6819130Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6819306Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6819430Z                 'obj_weakref': None
2022-11-23T01:32:32.6819669Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6819730Z             }
2022-11-23T01:32:32.6819798Z             
2022-11-23T01:32:32.6819872Z  - 
2022-11-23T01:32:32.6819999Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6820072Z             {
2022-11-23T01:32:32.6820216Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6820435Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6820551Z                 'obj_weakref': None
2022-11-23T01:32:32.6820775Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6820844Z             }
2022-11-23T01:32:32.6820913Z             
2022-11-23T01:32:32.6820987Z  - 
2022-11-23T01:32:32.6821169Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6821238Z             {
2022-11-23T01:32:32.6821409Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6821847Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:32.6821976Z                 'obj_weakref': None
2022-11-23T01:32:32.6822201Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6822270Z             }
2022-11-23T01:32:32.6822337Z             
2022-11-23T01:32:32.6822413Z  - 
2022-11-23T01:32:32.6822603Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6822665Z             {
2022-11-23T01:32:32.6822816Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6823106Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6823230Z                 'obj_weakref': None
2022-11-23T01:32:32.6823454Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6823523Z             }
2022-11-23T01:32:32.6823594Z             
2022-11-23T01:32:32.6823852Z [2022-11-23 01:30:52,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 836
2022-11-23T01:32:32.6824105Z [2022-11-23 01:30:52,977] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6824111Z 
2022-11-23T01:32:32.6824214Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6824291Z import torch
2022-11-23T01:32:32.6824367Z import random
2022-11-23T01:32:32.6824488Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6824619Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6824624Z 
2022-11-23T01:32:32.6824707Z aten = torch.ops.aten
2022-11-23T01:32:32.6824891Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6824994Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6824999Z 
2022-11-23T01:32:32.6825072Z import triton
2022-11-23T01:32:32.6825166Z import triton.language as tl
2022-11-23T01:32:32.6825321Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6825466Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6825471Z 
2022-11-23T01:32:32.6825476Z 
2022-11-23T01:32:32.6825653Z triton_fused_add_1_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6825728Z import triton
2022-11-23T01:32:32.6825813Z import triton.language as tl
2022-11-23T01:32:32.6825929Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6826035Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6826171Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6826299Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6826307Z 
2022-11-23T01:32:32.6826697Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6826774Z @triton.jit
2022-11-23T01:32:32.6826924Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6826999Z     xnumel = 1000
2022-11-23T01:32:32.6827109Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6827244Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6827330Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6827403Z     x0 = xindex
2022-11-23T01:32:32.6827523Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6827642Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6827713Z     tmp1 = 1
2022-11-23T01:32:32.6827787Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6827868Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6828009Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6828095Z ''')
2022-11-23T01:32:32.6828101Z 
2022-11-23T01:32:32.6828105Z 
2022-11-23T01:32:32.6828200Z async_compile.wait(globals())
2022-11-23T01:32:32.6828280Z del async_compile
2022-11-23T01:32:32.6828285Z 
2022-11-23T01:32:32.6828360Z def call(args):
2022-11-23T01:32:32.6828440Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6828509Z     args.clear()
2022-11-23T01:32:32.6828722Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6828814Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6828975Z     triton_fused_add_1_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.6829048Z     del arg0_1
2022-11-23T01:32:32.6829120Z     del arg1_1
2022-11-23T01:32:32.6829198Z     return (buf0, )
2022-11-23T01:32:32.6829203Z 
2022-11-23T01:32:32.6829207Z 
2022-11-23T01:32:32.6829283Z if __name__ == "__main__":
2022-11-23T01:32:32.6829403Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6829533Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6829736Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6829950Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6830072Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6830077Z 
2022-11-23T01:32:32.6830081Z 
2022-11-23T01:32:32.6830179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6830317Z import torch
2022-11-23T01:32:32.6830399Z import random
2022-11-23T01:32:32.6830538Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6830681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6830687Z 
2022-11-23T01:32:32.6830784Z aten = torch.ops.aten
2022-11-23T01:32:32.6830962Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6831060Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6831066Z 
2022-11-23T01:32:32.6831140Z import triton
2022-11-23T01:32:32.6831235Z import triton.language as tl
2022-11-23T01:32:32.6831355Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6831520Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6831525Z 
2022-11-23T01:32:32.6831530Z 
2022-11-23T01:32:32.6831693Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.6831769Z import triton
2022-11-23T01:32:32.6831860Z import triton.language as tl
2022-11-23T01:32:32.6831976Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6832079Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6832206Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6832333Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6832338Z 
2022-11-23T01:32:32.6832731Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6832805Z @triton.jit
2022-11-23T01:32:32.6832952Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6833040Z     xnumel = 10
2022-11-23T01:32:32.6833150Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6833306Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6833382Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6833454Z     x0 = xindex
2022-11-23T01:32:32.6833550Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6833648Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6833727Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6833869Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6833955Z ''')
2022-11-23T01:32:32.6833960Z 
2022-11-23T01:32:32.6833968Z 
2022-11-23T01:32:32.6834061Z async_compile.wait(globals())
2022-11-23T01:32:32.6834131Z del async_compile
2022-11-23T01:32:32.6834136Z 
2022-11-23T01:32:32.6834211Z def call(args):
2022-11-23T01:32:32.6834290Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6834367Z     args.clear()
2022-11-23T01:32:32.6834564Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6834655Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6834805Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.6834871Z     del arg0_1
2022-11-23T01:32:32.6834943Z     del arg1_1
2022-11-23T01:32:32.6835019Z     return (buf0, )
2022-11-23T01:32:32.6835024Z 
2022-11-23T01:32:32.6835028Z 
2022-11-23T01:32:32.6835108Z if __name__ == "__main__":
2022-11-23T01:32:32.6835227Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6835355Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6835567Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6835764Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6835878Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6835886Z 
2022-11-23T01:32:32.6835890Z 
2022-11-23T01:32:32.6835991Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6836065Z import torch
2022-11-23T01:32:32.6836141Z import random
2022-11-23T01:32:32.6836262Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6836389Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6836393Z 
2022-11-23T01:32:32.6836476Z aten = torch.ops.aten
2022-11-23T01:32:32.6836614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6836703Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6836708Z 
2022-11-23T01:32:32.6836783Z import triton
2022-11-23T01:32:32.6836908Z import triton.language as tl
2022-11-23T01:32:32.6837038Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6837181Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6837186Z 
2022-11-23T01:32:32.6837191Z 
2022-11-23T01:32:32.6837353Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6837476Z import triton
2022-11-23T01:32:32.6837560Z import triton.language as tl
2022-11-23T01:32:32.6837678Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6837781Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6837917Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6838044Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6838049Z 
2022-11-23T01:32:32.6838435Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6838511Z @triton.jit
2022-11-23T01:32:32.6838658Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6838724Z     xnumel = 10
2022-11-23T01:32:32.6838824Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6838957Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6839043Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6839116Z     x0 = xindex
2022-11-23T01:32:32.6839235Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6839353Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6839425Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6839564Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6839649Z ''')
2022-11-23T01:32:32.6839654Z 
2022-11-23T01:32:32.6839658Z 
2022-11-23T01:32:32.6839752Z async_compile.wait(globals())
2022-11-23T01:32:32.6839831Z del async_compile
2022-11-23T01:32:32.6839836Z 
2022-11-23T01:32:32.6839914Z def call(args):
2022-11-23T01:32:32.6839994Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6840069Z     args.clear()
2022-11-23T01:32:32.6840257Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6840350Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6840505Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.6840578Z     del arg0_1
2022-11-23T01:32:32.6840651Z     del arg1_1
2022-11-23T01:32:32.6840728Z     return (buf0, )
2022-11-23T01:32:32.6840733Z 
2022-11-23T01:32:32.6840738Z 
2022-11-23T01:32:32.6840818Z if __name__ == "__main__":
2022-11-23T01:32:32.6840939Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6841059Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6841268Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6841467Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6841589Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6841595Z 
2022-11-23T01:32:32.6841962Z [2022-11-23 01:30:53,043] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wo/cwowrjmvr6qcu24yxoakms5qdxk3zuspg7nvl7cjeftedmcdspjv.py
2022-11-23T01:32:32.6842233Z [2022-11-23 01:30:53,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 836
2022-11-23T01:32:32.6842478Z [2022-11-23 01:30:53,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6842791Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6843013Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6843298Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6843579Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6843902Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6844277Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6844604Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6844982Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6845083Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6845180Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6845258Z               4 BINARY_ADD
2022-11-23T01:32:32.6845351Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6845450Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6845547Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6845644Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6845727Z              14 BINARY_ADD
2022-11-23T01:32:32.6845824Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6845908Z              18 RETURN_VALUE
2022-11-23T01:32:32.6845967Z  
2022-11-23T01:32:32.6845972Z 
2022-11-23T01:32:32.6846283Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6846497Z [2022-11-23 01:30:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6846747Z [2022-11-23 01:30:53,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6847032Z [2022-11-23 01:30:53,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6847282Z [2022-11-23 01:30:53,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6847566Z [2022-11-23 01:30:53,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6847872Z [2022-11-23 01:30:53,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6848112Z [2022-11-23 01:30:53,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6848388Z [2022-11-23 01:30:53,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6848631Z [2022-11-23 01:30:53,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6848880Z [2022-11-23 01:30:53,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6849259Z [2022-11-23 01:30:53,051] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6849507Z [2022-11-23 01:30:53,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6849745Z [2022-11-23 01:30:53,051] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6850005Z [2022-11-23 01:30:53,052] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6850303Z [2022-11-23 01:30:53,056] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6850499Z [2022-11-23 01:30:53,056] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6850640Z  __compiled_fn_855 <eval_with_key>.5260 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6850726Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6850842Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6851022Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6851127Z call_method, view, view, (add, [10]), {}
2022-11-23T01:32:32.6851313Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6851414Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6851420Z 
2022-11-23T01:32:32.6851753Z [2022-11-23 01:30:53,056] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6851853Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6851947Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6852042Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6852711Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6852812Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6852909Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6852996Z              12 RETURN_VALUE
2022-11-23T01:32:32.6853001Z 
2022-11-23T01:32:32.6853069Z  
2022-11-23T01:32:32.6853398Z [2022-11-23 01:30:53,056] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6853516Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_855)
2022-11-23T01:32:32.6853611Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6853708Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6853790Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6853886Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6853988Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6854071Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6854158Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6854271Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6854411Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6854517Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6854611Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6854715Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6854827Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6854915Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6854998Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6855092Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6855190Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6855297Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6855395Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6855475Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6855576Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6855677Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6855781Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6855875Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6855956Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6856065Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6856146Z              54 RETURN_VALUE
2022-11-23T01:32:32.6856152Z 
2022-11-23T01:32:32.6856211Z  
2022-11-23T01:32:32.6856403Z [2022-11-23 01:30:53,058] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6856480Z  - 
2022-11-23T01:32:32.6856606Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6856675Z             {
2022-11-23T01:32:32.6856868Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6857063Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6857182Z                 'obj_weakref': None
2022-11-23T01:32:32.6857436Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6857507Z             }
2022-11-23T01:32:32.6857575Z             
2022-11-23T01:32:32.6857652Z  - 
2022-11-23T01:32:32.6857782Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6857854Z             {
2022-11-23T01:32:32.6857996Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6858107Z                 'code': None,
2022-11-23T01:32:32.6858330Z                 'obj_weakref': <weakref at 0x7f1fd81a0040; to 'Tensor' at 0x7f1fe81dfce0>
2022-11-23T01:32:32.6858584Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6858657Z             }
2022-11-23T01:32:32.6858727Z             
2022-11-23T01:32:32.6858917Z  - 
2022-11-23T01:32:32.6859041Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6859112Z             {
2022-11-23T01:32:32.6859262Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6859377Z                 'code': None,
2022-11-23T01:32:32.6859597Z                 'obj_weakref': <weakref at 0x7f1fd81a0090; to 'Tensor' at 0x7f1ffadb1ad0>
2022-11-23T01:32:32.6859853Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6859923Z             }
2022-11-23T01:32:32.6859992Z             
2022-11-23T01:32:32.6860060Z  - 
2022-11-23T01:32:32.6860196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6860264Z             {
2022-11-23T01:32:32.6860408Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6860584Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6860713Z                 'obj_weakref': None
2022-11-23T01:32:32.6860950Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6861011Z             }
2022-11-23T01:32:32.6861080Z             
2022-11-23T01:32:32.6861159Z  - 
2022-11-23T01:32:32.6861287Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6861358Z             {
2022-11-23T01:32:32.6861501Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6861717Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6861842Z                 'obj_weakref': None
2022-11-23T01:32:32.6862068Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6862137Z             }
2022-11-23T01:32:32.6862207Z             
2022-11-23T01:32:32.6862283Z  - 
2022-11-23T01:32:32.6862469Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6862540Z             {
2022-11-23T01:32:32.6862742Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6863194Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:32.6863321Z                 'obj_weakref': None
2022-11-23T01:32:32.6863548Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6863616Z             }
2022-11-23T01:32:32.6863683Z             
2022-11-23T01:32:32.6863759Z  - 
2022-11-23T01:32:32.6863940Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6864011Z             {
2022-11-23T01:32:32.6864159Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6864496Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6864623Z                 'obj_weakref': None
2022-11-23T01:32:32.6864846Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6864941Z             }
2022-11-23T01:32:32.6865010Z             
2022-11-23T01:32:32.6865270Z [2022-11-23 01:30:53,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 837
2022-11-23T01:32:32.6865523Z [2022-11-23 01:30:53,068] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6865896Z [2022-11-23 01:30:53,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jd/cjdi5rt3ushhmgxj2k4wlhz5zqkb7uofpcb7tnc3cssmpkcnh7r3.py
2022-11-23T01:32:32.6866167Z [2022-11-23 01:30:53,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 837
2022-11-23T01:32:32.6866413Z [2022-11-23 01:30:53,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6866731Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6866960Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6867219Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6867505Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6867822Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6868170Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6868495Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6868872Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6868975Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6869077Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6869177Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6869271Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6869369Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6869440Z              10 BINARY_ADD
2022-11-23T01:32:32.6869535Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6869621Z              14 RETURN_VALUE
2022-11-23T01:32:32.6869690Z  
2022-11-23T01:32:32.6869695Z 
2022-11-23T01:32:32.6870017Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6870236Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6870694Z [2022-11-23 01:30:53,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6870986Z [2022-11-23 01:30:53,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6871285Z [2022-11-23 01:30:53,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6871528Z [2022-11-23 01:30:53,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6871838Z [2022-11-23 01:30:53,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6872090Z [2022-11-23 01:30:53,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6872341Z [2022-11-23 01:30:53,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6872750Z [2022-11-23 01:30:53,142] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6873001Z [2022-11-23 01:30:53,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6873244Z [2022-11-23 01:30:53,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6873505Z [2022-11-23 01:30:53,144] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6873766Z [2022-11-23 01:30:53,146] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6873954Z [2022-11-23 01:30:53,147] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6874096Z  __compiled_fn_856 <eval_with_key>.5266 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6874197Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6874293Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6874402Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T01:32:32.6874588Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6874690Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6874696Z 
2022-11-23T01:32:32.6875025Z [2022-11-23 01:30:53,147] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6875119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6875221Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6875315Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6875417Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6875509Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6875607Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6875688Z              12 RETURN_VALUE
2022-11-23T01:32:32.6875693Z 
2022-11-23T01:32:32.6875751Z  
2022-11-23T01:32:32.6876076Z [2022-11-23 01:30:53,147] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6876193Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_856)
2022-11-23T01:32:32.6876291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6876389Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6876473Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6876567Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6876670Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6876744Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6876838Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6876951Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6877091Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6877196Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6877290Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6877391Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6877493Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6877590Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6877670Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6877763Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6877862Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6877996Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6878095Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6878168Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6878279Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6878399Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6878505Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6878603Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6878685Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6878793Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6878867Z              54 RETURN_VALUE
2022-11-23T01:32:32.6878880Z 
2022-11-23T01:32:32.6878938Z  
2022-11-23T01:32:32.6879127Z [2022-11-23 01:30:53,148] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6879202Z  - 
2022-11-23T01:32:32.6879325Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6879397Z             {
2022-11-23T01:32:32.6879542Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6879733Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6879849Z                 'obj_weakref': None
2022-11-23T01:32:32.6880079Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6880149Z             }
2022-11-23T01:32:32.6880218Z             
2022-11-23T01:32:32.6880293Z  - 
2022-11-23T01:32:32.6880422Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6880483Z             {
2022-11-23T01:32:32.6880631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6880744Z                 'code': None,
2022-11-23T01:32:32.6880962Z                 'obj_weakref': <weakref at 0x7f201e6fb8d0; to 'Tensor' at 0x7f1fe81dfce0>
2022-11-23T01:32:32.6881218Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6881292Z             }
2022-11-23T01:32:32.6881360Z             
2022-11-23T01:32:32.6881435Z  - 
2022-11-23T01:32:32.6881556Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6881624Z             {
2022-11-23T01:32:32.6881773Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6881892Z                 'code': None,
2022-11-23T01:32:32.6882108Z                 'obj_weakref': <weakref at 0x7f1ffad78f40; to 'Tensor' at 0x7f2023071710>
2022-11-23T01:32:32.6882362Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6882430Z             }
2022-11-23T01:32:32.6882491Z             
2022-11-23T01:32:32.6882566Z  - 
2022-11-23T01:32:32.6882701Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6882774Z             {
2022-11-23T01:32:32.6882916Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6883389Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6883522Z                 'obj_weakref': None
2022-11-23T01:32:32.6883750Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6883818Z             }
2022-11-23T01:32:32.6883888Z             
2022-11-23T01:32:32.6883965Z  - 
2022-11-23T01:32:32.6884091Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6884163Z             {
2022-11-23T01:32:32.6884299Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6884523Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6884645Z                 'obj_weakref': None
2022-11-23T01:32:32.6884875Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6884943Z             }
2022-11-23T01:32:32.6885011Z             
2022-11-23T01:32:32.6885089Z  - 
2022-11-23T01:32:32.6885313Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6885375Z             {
2022-11-23T01:32:32.6885550Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6886085Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:32.6886234Z                 'obj_weakref': None
2022-11-23T01:32:32.6886459Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6886526Z             }
2022-11-23T01:32:32.6886594Z             
2022-11-23T01:32:32.6886669Z  - 
2022-11-23T01:32:32.6886851Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6886919Z             {
2022-11-23T01:32:32.6887073Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6887359Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6887483Z                 'obj_weakref': None
2022-11-23T01:32:32.6887707Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6887776Z             }
2022-11-23T01:32:32.6887836Z             
2022-11-23T01:32:32.6887912Z  - 
2022-11-23T01:32:32.6888105Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6888173Z             {
2022-11-23T01:32:32.6888321Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6888608Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.6888739Z                 'obj_weakref': None
2022-11-23T01:32:32.6889006Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6889100Z             }
2022-11-23T01:32:32.6889198Z             
2022-11-23T01:32:32.6889494Z [2022-11-23 01:30:53,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 838
2022-11-23T01:32:32.6889755Z [2022-11-23 01:30:53,158] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6890141Z [2022-11-23 01:30:53,165] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccjodftiefjkqknlz5tbxev2r7aafigzefhcdkwkklkjgegsriaz.py
2022-11-23T01:32:32.6890501Z [2022-11-23 01:30:53,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 838
2022-11-23T01:32:32.6890841Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6891210Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6891438Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6891690Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6891975Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6892299Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6892662Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6893078Z [2022-11-23 01:30:53,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6893459Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6893605Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6893708Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6893813Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6893905Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6894001Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6894072Z              10 BINARY_ADD
2022-11-23T01:32:32.6894168Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6894249Z              14 RETURN_VALUE
2022-11-23T01:32:32.6894315Z  
2022-11-23T01:32:32.6894321Z 
2022-11-23T01:32:32.6894641Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6894859Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6895107Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6895396Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6895701Z [2022-11-23 01:30:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6895934Z [2022-11-23 01:30:53,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6896208Z [2022-11-23 01:30:53,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6896455Z [2022-11-23 01:30:53,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6896705Z [2022-11-23 01:30:53,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6897082Z [2022-11-23 01:30:53,171] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6897333Z [2022-11-23 01:30:53,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6897572Z [2022-11-23 01:30:53,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6897829Z [2022-11-23 01:30:53,172] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6898084Z [2022-11-23 01:30:53,175] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6898273Z [2022-11-23 01:30:53,176] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6898417Z  __compiled_fn_857 <eval_with_key>.5272 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6898516Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6898608Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6898714Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T01:32:32.6899135Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6899238Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6899244Z 
2022-11-23T01:32:32.6899580Z [2022-11-23 01:30:53,176] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6899673Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6899772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6899865Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6899967Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6900119Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6900216Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6900297Z              12 RETURN_VALUE
2022-11-23T01:32:32.6900302Z 
2022-11-23T01:32:32.6900369Z  
2022-11-23T01:32:32.6900681Z [2022-11-23 01:30:53,176] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6900830Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_857)
2022-11-23T01:32:32.6900929Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6901026Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6901110Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6901205Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6901300Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6901374Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6901468Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6901586Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6901723Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6901827Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6901923Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6902026Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6902135Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6902224Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6902305Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6902399Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6902498Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6902605Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6902701Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6902786Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6902889Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6902988Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6903091Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6903188Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6903268Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6903376Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6903459Z              54 RETURN_VALUE
2022-11-23T01:32:32.6903465Z 
2022-11-23T01:32:32.6903524Z  
2022-11-23T01:32:32.6903713Z [2022-11-23 01:30:53,177] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6903790Z  - 
2022-11-23T01:32:32.6903913Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6903984Z             {
2022-11-23T01:32:32.6904134Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6904329Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6904445Z                 'obj_weakref': None
2022-11-23T01:32:32.6904669Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6904741Z             }
2022-11-23T01:32:32.6904810Z             
2022-11-23T01:32:32.6904891Z  - 
2022-11-23T01:32:32.6905020Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6905088Z             {
2022-11-23T01:32:32.6905227Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6905339Z                 'code': None,
2022-11-23T01:32:32.6905549Z                 'obj_weakref': <weakref at 0x7f2060788f40; to 'Tensor' at 0x7f2151eee430>
2022-11-23T01:32:32.6905797Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6905868Z             }
2022-11-23T01:32:32.6905936Z             
2022-11-23T01:32:32.6906011Z  - 
2022-11-23T01:32:32.6906131Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6906233Z             {
2022-11-23T01:32:32.6906383Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6906495Z                 'code': None,
2022-11-23T01:32:32.6906711Z                 'obj_weakref': <weakref at 0x7f20606cf650; to 'Tensor' at 0x7f1ffad784f0>
2022-11-23T01:32:32.6907004Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6907073Z             }
2022-11-23T01:32:32.6907135Z             
2022-11-23T01:32:32.6907211Z  - 
2022-11-23T01:32:32.6907347Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6907416Z             {
2022-11-23T01:32:32.6907557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6907733Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.6907859Z                 'obj_weakref': None
2022-11-23T01:32:32.6908087Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6908157Z             }
2022-11-23T01:32:32.6908226Z             
2022-11-23T01:32:32.6908302Z  - 
2022-11-23T01:32:32.6908429Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6908498Z             {
2022-11-23T01:32:32.6908639Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6908857Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6908981Z                 'obj_weakref': None
2022-11-23T01:32:32.6909208Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6909278Z             }
2022-11-23T01:32:32.6909346Z             
2022-11-23T01:32:32.6909422Z  - 
2022-11-23T01:32:32.6909607Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6909669Z             {
2022-11-23T01:32:32.6909843Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6910505Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:32.6910639Z                 'obj_weakref': None
2022-11-23T01:32:32.6910864Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6910932Z             }
2022-11-23T01:32:32.6911001Z             
2022-11-23T01:32:32.6911077Z  - 
2022-11-23T01:32:32.6911260Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6911328Z             {
2022-11-23T01:32:32.6911477Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6911766Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6911890Z                 'obj_weakref': None
2022-11-23T01:32:32.6912114Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6912183Z             }
2022-11-23T01:32:32.6912254Z             
2022-11-23T01:32:32.6912323Z  - 
2022-11-23T01:32:32.6912512Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6912580Z             {
2022-11-23T01:32:32.6912729Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6913012Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.6913138Z                 'obj_weakref': None
2022-11-23T01:32:32.6913360Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6913422Z             }
2022-11-23T01:32:32.6913491Z             
2022-11-23T01:32:32.6913789Z [2022-11-23 01:30:53,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 839
2022-11-23T01:32:32.6914045Z [2022-11-23 01:30:53,186] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6914073Z 
2022-11-23T01:32:32.6914174Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6914248Z import torch
2022-11-23T01:32:32.6914322Z import random
2022-11-23T01:32:32.6914438Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6914567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6914572Z 
2022-11-23T01:32:32.6914655Z aten = torch.ops.aten
2022-11-23T01:32:32.6914796Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6914894Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6914899Z 
2022-11-23T01:32:32.6914973Z import triton
2022-11-23T01:32:32.6915067Z import triton.language as tl
2022-11-23T01:32:32.6915199Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6915336Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6915342Z 
2022-11-23T01:32:32.6915353Z 
2022-11-23T01:32:32.6915520Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.6915598Z import triton
2022-11-23T01:32:32.6915691Z import triton.language as tl
2022-11-23T01:32:32.6915808Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6915915Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6916051Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6916179Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6916184Z 
2022-11-23T01:32:32.6916567Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6916641Z @triton.jit
2022-11-23T01:32:32.6916791Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6916867Z     xnumel = 10
2022-11-23T01:32:32.6916966Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6917098Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6917184Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6917257Z     x0 = xindex
2022-11-23T01:32:32.6917348Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6917445Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6917516Z     tmp1 = 1
2022-11-23T01:32:32.6917598Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6917676Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6917815Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6917894Z ''')
2022-11-23T01:32:32.6917906Z 
2022-11-23T01:32:32.6917911Z 
2022-11-23T01:32:32.6917997Z async_compile.wait(globals())
2022-11-23T01:32:32.6918074Z del async_compile
2022-11-23T01:32:32.6918079Z 
2022-11-23T01:32:32.6918155Z def call(args):
2022-11-23T01:32:32.6918236Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6918311Z     args.clear()
2022-11-23T01:32:32.6918511Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6918603Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6918755Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.6918827Z     del arg0_1
2022-11-23T01:32:32.6918899Z     del arg1_1
2022-11-23T01:32:32.6918974Z     return (buf0, )
2022-11-23T01:32:32.6918980Z 
2022-11-23T01:32:32.6918984Z 
2022-11-23T01:32:32.6919064Z if __name__ == "__main__":
2022-11-23T01:32:32.6919183Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6919311Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6919523Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6919741Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6919865Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6919871Z 
2022-11-23T01:32:32.6919876Z 
2022-11-23T01:32:32.6919975Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6920047Z import torch
2022-11-23T01:32:32.6920146Z import random
2022-11-23T01:32:32.6920268Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6920393Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6920398Z 
2022-11-23T01:32:32.6920481Z aten = torch.ops.aten
2022-11-23T01:32:32.6920614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6920709Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6920714Z 
2022-11-23T01:32:32.6920788Z import triton
2022-11-23T01:32:32.6920881Z import triton.language as tl
2022-11-23T01:32:32.6921007Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6921151Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6921159Z 
2022-11-23T01:32:32.6921164Z 
2022-11-23T01:32:32.6921335Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.6921409Z import triton
2022-11-23T01:32:32.6921493Z import triton.language as tl
2022-11-23T01:32:32.6921609Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6921714Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6921852Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6921980Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6921985Z 
2022-11-23T01:32:32.6922364Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6922437Z @triton.jit
2022-11-23T01:32:32.6922581Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6922648Z     xnumel = 10
2022-11-23T01:32:32.6922749Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6922881Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6922966Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6923037Z     x0 = xindex
2022-11-23T01:32:32.6923160Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6923279Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.6923343Z     tmp1 = 1
2022-11-23T01:32:32.6923426Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6923505Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.6923649Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.6923737Z ''')
2022-11-23T01:32:32.6923742Z 
2022-11-23T01:32:32.6923747Z 
2022-11-23T01:32:32.6923841Z async_compile.wait(globals())
2022-11-23T01:32:32.6923920Z del async_compile
2022-11-23T01:32:32.6923925Z 
2022-11-23T01:32:32.6923994Z def call(args):
2022-11-23T01:32:32.6924073Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6924152Z     args.clear()
2022-11-23T01:32:32.6924350Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6924441Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6924595Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.6924670Z     del arg0_1
2022-11-23T01:32:32.6924736Z     del arg1_1
2022-11-23T01:32:32.6924813Z     return (buf0, )
2022-11-23T01:32:32.6924818Z 
2022-11-23T01:32:32.6924823Z 
2022-11-23T01:32:32.6924904Z if __name__ == "__main__":
2022-11-23T01:32:32.6925025Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6925153Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6925361Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6925559Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.6925709Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6925715Z 
2022-11-23T01:32:32.6925719Z 
2022-11-23T01:32:32.6925819Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.6925887Z import torch
2022-11-23T01:32:32.6925962Z import random
2022-11-23T01:32:32.6926082Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.6926231Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.6926236Z 
2022-11-23T01:32:32.6926322Z aten = torch.ops.aten
2022-11-23T01:32:32.6926461Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.6926558Z async_compile = AsyncCompile()
2022-11-23T01:32:32.6926563Z 
2022-11-23T01:32:32.6926631Z import triton
2022-11-23T01:32:32.6926723Z import triton.language as tl
2022-11-23T01:32:32.6926850Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.6926993Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.6926998Z 
2022-11-23T01:32:32.6927003Z 
2022-11-23T01:32:32.6927166Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.6927241Z import triton
2022-11-23T01:32:32.6927334Z import triton.language as tl
2022-11-23T01:32:32.6927450Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.6927547Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.6927686Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.6927815Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.6927820Z 
2022-11-23T01:32:32.6928205Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.6928281Z @triton.jit
2022-11-23T01:32:32.6928427Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.6928502Z     xnumel = 1000
2022-11-23T01:32:32.6928604Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.6928731Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.6928816Z     xmask = xindex < xnumel
2022-11-23T01:32:32.6928889Z     x0 = xindex
2022-11-23T01:32:32.6928988Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.6929088Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.6929169Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.6929307Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.6929386Z ''')
2022-11-23T01:32:32.6929392Z 
2022-11-23T01:32:32.6929396Z 
2022-11-23T01:32:32.6929490Z async_compile.wait(globals())
2022-11-23T01:32:32.6929567Z del async_compile
2022-11-23T01:32:32.6929572Z 
2022-11-23T01:32:32.6929647Z def call(args):
2022-11-23T01:32:32.6929725Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.6929801Z     args.clear()
2022-11-23T01:32:32.6930005Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6930092Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.6930244Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.6930317Z     del arg0_1
2022-11-23T01:32:32.6930390Z     del arg1_1
2022-11-23T01:32:32.6930467Z     return (buf0, )
2022-11-23T01:32:32.6930476Z 
2022-11-23T01:32:32.6930480Z 
2022-11-23T01:32:32.6930560Z if __name__ == "__main__":
2022-11-23T01:32:32.6930680Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.6930809Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.6931032Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6931238Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.6931358Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.6931363Z 
2022-11-23T01:32:32.6931763Z [2022-11-23 01:30:53,192] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zy/czyonyz4kxnskhojpjfovqedxhq2pg6ygcaklaxz6iqggoezcpvr.py
2022-11-23T01:32:32.6932034Z [2022-11-23 01:30:53,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 839
2022-11-23T01:32:32.6932275Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6932616Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6932841Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6933100Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6933375Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6933701Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6934050Z [2022-11-23 01:30:53,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6934378Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6934752Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6934851Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6934952Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6935036Z               4 BINARY_ADD
2022-11-23T01:32:32.6935137Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6935231Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6935327Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6935424Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6935508Z              14 BINARY_ADD
2022-11-23T01:32:32.6935603Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6935688Z              18 RETURN_VALUE
2022-11-23T01:32:32.6935755Z  
2022-11-23T01:32:32.6935761Z 
2022-11-23T01:32:32.6936073Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6936280Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6936525Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6936811Z [2022-11-23 01:30:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6937062Z [2022-11-23 01:30:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6937349Z [2022-11-23 01:30:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6937656Z [2022-11-23 01:30:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6937896Z [2022-11-23 01:30:53,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6938178Z [2022-11-23 01:30:53,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6938426Z [2022-11-23 01:30:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6938668Z [2022-11-23 01:30:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6939338Z [2022-11-23 01:30:53,199] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6939591Z [2022-11-23 01:30:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6939855Z [2022-11-23 01:30:53,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6940113Z [2022-11-23 01:30:53,200] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6940367Z [2022-11-23 01:30:53,203] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6940565Z [2022-11-23 01:30:53,204] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6940709Z  __compiled_fn_858 <eval_with_key>.5278 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6940807Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6940892Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6941075Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6941182Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T01:32:32.6941373Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6941474Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6941480Z 
2022-11-23T01:32:32.6941809Z [2022-11-23 01:30:53,204] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6941911Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6942009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6942096Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6942195Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6942288Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6942386Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6942469Z              12 RETURN_VALUE
2022-11-23T01:32:32.6942475Z 
2022-11-23T01:32:32.6942542Z  
2022-11-23T01:32:32.6942860Z [2022-11-23 01:30:53,204] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6942981Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_858)
2022-11-23T01:32:32.6943072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6943170Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6943252Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6943349Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6943444Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6943525Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6943624Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6943731Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6943868Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6943973Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6944066Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6944170Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6944279Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6944374Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6944449Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6944543Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6944642Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6944748Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6944842Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6944923Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6945086Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6945179Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6945284Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6945378Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6945484Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6945592Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6945674Z              54 RETURN_VALUE
2022-11-23T01:32:32.6945680Z 
2022-11-23T01:32:32.6945745Z  
2022-11-23T01:32:32.6945935Z [2022-11-23 01:30:53,205] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6946005Z  - 
2022-11-23T01:32:32.6946129Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6946199Z             {
2022-11-23T01:32:32.6946346Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6946537Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6946662Z                 'obj_weakref': None
2022-11-23T01:32:32.6946886Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6946949Z             }
2022-11-23T01:32:32.6947020Z             
2022-11-23T01:32:32.6947096Z  - 
2022-11-23T01:32:32.6947228Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6947297Z             {
2022-11-23T01:32:32.6947447Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6947560Z                 'code': None,
2022-11-23T01:32:32.6947767Z                 'obj_weakref': <weakref at 0x7f1fe812efc0; to 'Tensor' at 0x7f2151eee430>
2022-11-23T01:32:32.6948016Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6948086Z             }
2022-11-23T01:32:32.6948156Z             
2022-11-23T01:32:32.6948233Z  - 
2022-11-23T01:32:32.6948360Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6948429Z             {
2022-11-23T01:32:32.6948572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6948683Z                 'code': None,
2022-11-23T01:32:32.6948900Z                 'obj_weakref': <weakref at 0x7f1ffadb2fc0; to 'Tensor' at 0x7f1ffad32020>
2022-11-23T01:32:32.6949150Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6949224Z             }
2022-11-23T01:32:32.6949292Z             
2022-11-23T01:32:32.6949368Z  - 
2022-11-23T01:32:32.6949496Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6949565Z             {
2022-11-23T01:32:32.6949707Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6949881Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6950003Z                 'obj_weakref': None
2022-11-23T01:32:32.6950231Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6950374Z             }
2022-11-23T01:32:32.6950451Z             
2022-11-23T01:32:32.6950543Z  - 
2022-11-23T01:32:32.6950692Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6950775Z             {
2022-11-23T01:32:32.6950941Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6951162Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6951287Z                 'obj_weakref': None
2022-11-23T01:32:32.6951502Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6951570Z             }
2022-11-23T01:32:32.6951640Z             
2022-11-23T01:32:32.6951715Z  - 
2022-11-23T01:32:32.6951897Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6951966Z             {
2022-11-23T01:32:32.6952137Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6952687Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:32.6952837Z                 'obj_weakref': None
2022-11-23T01:32:32.6953061Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6953130Z             }
2022-11-23T01:32:32.6953200Z             
2022-11-23T01:32:32.6953275Z  - 
2022-11-23T01:32:32.6953463Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6953531Z             {
2022-11-23T01:32:32.6953671Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6953951Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6954080Z                 'obj_weakref': None
2022-11-23T01:32:32.6954298Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6954367Z             }
2022-11-23T01:32:32.6954436Z             
2022-11-23T01:32:32.6954511Z  - 
2022-11-23T01:32:32.6954694Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6954764Z             {
2022-11-23T01:32:32.6954911Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6955191Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.6955313Z                 'obj_weakref': None
2022-11-23T01:32:32.6955532Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6955600Z             }
2022-11-23T01:32:32.6955662Z             
2022-11-23T01:32:32.6955927Z [2022-11-23 01:30:53,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 840
2022-11-23T01:32:32.6956177Z [2022-11-23 01:30:53,218] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6956544Z [2022-11-23 01:30:53,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kn/cknzwfnthvyyidhx4uh4ttlfcsxznrmgdoxtx4d3yxpb74523ygg.py
2022-11-23T01:32:32.6956819Z [2022-11-23 01:30:53,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 840
2022-11-23T01:32:32.6957063Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6957379Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6957603Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6958024Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6958310Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6958627Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6958977Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6959306Z [2022-11-23 01:30:53,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6959681Z [2022-11-23 01:30:53,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.6959820Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6959920Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.6960000Z               4 BINARY_ADD
2022-11-23T01:32:32.6960101Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6960222Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6960309Z              10 CALL_METHOD              1
2022-11-23T01:32:32.6960406Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6960485Z              14 BINARY_ADD
2022-11-23T01:32:32.6960580Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.6960661Z              18 RETURN_VALUE
2022-11-23T01:32:32.6960728Z  
2022-11-23T01:32:32.6960733Z 
2022-11-23T01:32:32.6961045Z [2022-11-23 01:30:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.6961257Z [2022-11-23 01:30:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6961500Z [2022-11-23 01:30:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.6961786Z [2022-11-23 01:30:53,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.6962034Z [2022-11-23 01:30:53,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6962319Z [2022-11-23 01:30:53,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6962623Z [2022-11-23 01:30:53,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6962865Z [2022-11-23 01:30:53,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6963144Z [2022-11-23 01:30:53,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6963391Z [2022-11-23 01:30:53,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6963641Z [2022-11-23 01:30:53,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6964013Z [2022-11-23 01:30:53,232] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.6964263Z [2022-11-23 01:30:53,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6964501Z [2022-11-23 01:30:53,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6964760Z [2022-11-23 01:30:53,233] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6965016Z [2022-11-23 01:30:53,237] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6965209Z [2022-11-23 01:30:53,237] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6965356Z  __compiled_fn_859 <eval_with_key>.5284 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6965454Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6965540Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6965718Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.6965826Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T01:32:32.6966013Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6966115Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.6966121Z 
2022-11-23T01:32:32.6966450Z [2022-11-23 01:30:53,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6966553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6966679Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6966767Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6966867Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6966960Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6967077Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6967159Z              12 RETURN_VALUE
2022-11-23T01:32:32.6967164Z 
2022-11-23T01:32:32.6967232Z  
2022-11-23T01:32:32.6967556Z [2022-11-23 01:30:53,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6967674Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_859)
2022-11-23T01:32:32.6967764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6967862Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6967944Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.6968042Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6968137Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.6968220Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.6968314Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.6968419Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.6968557Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.6968663Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.6968756Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.6968858Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.6968965Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.6969062Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6969144Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.6969232Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.6969334Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6969442Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6969540Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6969621Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.6969731Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.6969835Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6969932Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.6970025Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.6970106Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.6970217Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.6970299Z              54 RETURN_VALUE
2022-11-23T01:32:32.6970305Z 
2022-11-23T01:32:32.6970370Z  
2022-11-23T01:32:32.6970561Z [2022-11-23 01:30:53,238] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.6970630Z  - 
2022-11-23T01:32:32.6970978Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.6971054Z             {
2022-11-23T01:32:32.6971209Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.6971404Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.6971529Z                 'obj_weakref': None
2022-11-23T01:32:32.6971756Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.6971819Z             }
2022-11-23T01:32:32.6971888Z             
2022-11-23T01:32:32.6971964Z  - 
2022-11-23T01:32:32.6972095Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.6972163Z             {
2022-11-23T01:32:32.6972312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6972425Z                 'code': None,
2022-11-23T01:32:32.6972635Z                 'obj_weakref': <weakref at 0x7f1ffad5e8e0; to 'Tensor' at 0x7f206070f470>
2022-11-23T01:32:32.6972972Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6973042Z             }
2022-11-23T01:32:32.6973111Z             
2022-11-23T01:32:32.6973188Z  - 
2022-11-23T01:32:32.6973318Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.6973386Z             {
2022-11-23T01:32:32.6973552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.6973667Z                 'code': None,
2022-11-23T01:32:32.6973885Z                 'obj_weakref': <weakref at 0x7f1fd9b758a0; to 'Tensor' at 0x7f1ffad784f0>
2022-11-23T01:32:32.6974139Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.6974211Z             }
2022-11-23T01:32:32.6974280Z             
2022-11-23T01:32:32.6974357Z  - 
2022-11-23T01:32:32.6974487Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.6974555Z             {
2022-11-23T01:32:32.6974695Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.6974873Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.6974998Z                 'obj_weakref': None
2022-11-23T01:32:32.6975228Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.6975298Z             }
2022-11-23T01:32:32.6975362Z             
2022-11-23T01:32:32.6975437Z  - 
2022-11-23T01:32:32.6975565Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.6975634Z             {
2022-11-23T01:32:32.6975775Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.6975995Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.6976118Z                 'obj_weakref': None
2022-11-23T01:32:32.6976336Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.6976406Z             }
2022-11-23T01:32:32.6976475Z             
2022-11-23T01:32:32.6976551Z  - 
2022-11-23T01:32:32.6976738Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.6976808Z             {
2022-11-23T01:32:32.6976984Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.6977510Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:32.6977632Z                 'obj_weakref': None
2022-11-23T01:32:32.6977856Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.6977926Z             }
2022-11-23T01:32:32.6986052Z             
2022-11-23T01:32:32.6986166Z  - 
2022-11-23T01:32:32.6986376Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.6986452Z             {
2022-11-23T01:32:32.6986606Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6986895Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.6987023Z                 'obj_weakref': None
2022-11-23T01:32:32.6987244Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6987306Z             }
2022-11-23T01:32:32.6987375Z             
2022-11-23T01:32:32.6987452Z  - 
2022-11-23T01:32:32.6987639Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.6987709Z             {
2022-11-23T01:32:32.6987856Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.6988138Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.6988342Z                 'obj_weakref': None
2022-11-23T01:32:32.6988565Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.6988634Z             }
2022-11-23T01:32:32.6988703Z             
2022-11-23T01:32:32.6988969Z [2022-11-23 01:30:53,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 841
2022-11-23T01:32:32.6989253Z [2022-11-23 01:30:53,250] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.6989616Z [2022-11-23 01:30:53,256] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e3/ce3msngmjs2dc7sqn4xzs3tff5bty56urqmpytulsw6gk3ftn5c3.py
2022-11-23T01:32:32.6989882Z [2022-11-23 01:30:53,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 841
2022-11-23T01:32:32.6990116Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.6990538Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.6990791Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.6991049Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.6991335Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.6991659Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6992010Z [2022-11-23 01:30:53,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6992339Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.6992736Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.6992851Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.6992965Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.6993067Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.6993162Z               6 CALL_METHOD              1
2022-11-23T01:32:32.6993264Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.6993345Z              10 BINARY_ADD
2022-11-23T01:32:32.6993441Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.6993525Z              14 RETURN_VALUE
2022-11-23T01:32:32.6993585Z  
2022-11-23T01:32:32.6993598Z 
2022-11-23T01:32:32.6993907Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.6994124Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.6994377Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.6994667Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.6994973Z [2022-11-23 01:30:53,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.6995217Z [2022-11-23 01:30:53,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.6995493Z [2022-11-23 01:30:53,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.6995772Z [2022-11-23 01:30:53,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.6996025Z [2022-11-23 01:30:53,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6996402Z [2022-11-23 01:30:53,262] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.6996678Z [2022-11-23 01:30:53,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.6996919Z [2022-11-23 01:30:53,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.6997178Z [2022-11-23 01:30:53,264] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.6997433Z [2022-11-23 01:30:53,266] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.6997632Z [2022-11-23 01:30:53,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.6997775Z  __compiled_fn_860 <eval_with_key>.5290 opcode, name, target, args, kwargs
2022-11-23T01:32:32.6997874Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.6997968Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.6998069Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T01:32:32.6998255Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.6998356Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.6998362Z 
2022-11-23T01:32:32.6998695Z [2022-11-23 01:30:53,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6998797Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.6998895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.6998990Z               4 BUILD_MAP                0
2022-11-23T01:32:32.6999095Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.6999181Z               8 DICT_MERGE               1
2022-11-23T01:32:32.6999277Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.6999360Z              12 RETURN_VALUE
2022-11-23T01:32:32.6999366Z 
2022-11-23T01:32:32.6999433Z  
2022-11-23T01:32:32.6999763Z [2022-11-23 01:30:53,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.6999884Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_860)
2022-11-23T01:32:32.6999981Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7000071Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7000154Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7000254Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7000350Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7000432Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7000532Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7000645Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7000783Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7000882Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7000978Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7001081Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7001189Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7001285Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7001368Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7001462Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7001555Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7001662Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7001758Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7001884Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7001998Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7002097Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7002201Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7002310Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7002392Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7002500Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7002581Z              54 RETURN_VALUE
2022-11-23T01:32:32.7002587Z 
2022-11-23T01:32:32.7002653Z  
2022-11-23T01:32:32.7002868Z [2022-11-23 01:30:53,268] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7002950Z  - 
2022-11-23T01:32:32.7003093Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7003164Z             {
2022-11-23T01:32:32.7003311Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7003508Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7003634Z                 'obj_weakref': None
2022-11-23T01:32:32.7003862Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7003932Z             }
2022-11-23T01:32:32.7004000Z             
2022-11-23T01:32:32.7004081Z  - 
2022-11-23T01:32:32.7004212Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7004281Z             {
2022-11-23T01:32:32.7004432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7004545Z                 'code': None,
2022-11-23T01:32:32.7004764Z                 'obj_weakref': <weakref at 0x7f1ffad5cb30; to 'Tensor' at 0x7f206070f470>
2022-11-23T01:32:32.7005011Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7005080Z             }
2022-11-23T01:32:32.7005149Z             
2022-11-23T01:32:32.7005226Z  - 
2022-11-23T01:32:32.7005357Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7005426Z             {
2022-11-23T01:32:32.7005576Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7005681Z                 'code': None,
2022-11-23T01:32:32.7005896Z                 'obj_weakref': <weakref at 0x7f201e6b6a20; to 'Tensor' at 0x7f1f25e72f20>
2022-11-23T01:32:32.7006153Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7006223Z             }
2022-11-23T01:32:32.7006292Z             
2022-11-23T01:32:32.7006369Z  - 
2022-11-23T01:32:32.7006508Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7006570Z             {
2022-11-23T01:32:32.7006710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7006889Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7007014Z                 'obj_weakref': None
2022-11-23T01:32:32.7007248Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7007317Z             }
2022-11-23T01:32:32.7007386Z             
2022-11-23T01:32:32.7007455Z  - 
2022-11-23T01:32:32.7007583Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7007653Z             {
2022-11-23T01:32:32.7007797Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7008018Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7008143Z                 'obj_weakref': None
2022-11-23T01:32:32.7008369Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7008431Z             }
2022-11-23T01:32:32.7008501Z             
2022-11-23T01:32:32.7008577Z  - 
2022-11-23T01:32:32.7008764Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7008833Z             {
2022-11-23T01:32:32.7009010Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7009567Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:32.7009725Z                 'obj_weakref': None
2022-11-23T01:32:32.7009945Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7010014Z             }
2022-11-23T01:32:32.7010083Z             
2022-11-23T01:32:32.7010159Z  - 
2022-11-23T01:32:32.7010349Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7010418Z             {
2022-11-23T01:32:32.7010568Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7010848Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.7010973Z                 'obj_weakref': None
2022-11-23T01:32:32.7011197Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7011268Z             }
2022-11-23T01:32:32.7011343Z             
2022-11-23T01:32:32.7011419Z  - 
2022-11-23T01:32:32.7011612Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7011681Z             {
2022-11-23T01:32:32.7011822Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7012107Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7012231Z                 'obj_weakref': None
2022-11-23T01:32:32.7012455Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7012524Z             }
2022-11-23T01:32:32.7012592Z             
2022-11-23T01:32:32.7012861Z [2022-11-23 01:30:53,272] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 842
2022-11-23T01:32:32.7013109Z [2022-11-23 01:30:53,276] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7013125Z 
2022-11-23T01:32:32.7013219Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7013294Z import torch
2022-11-23T01:32:32.7013368Z import random
2022-11-23T01:32:32.7013491Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7013619Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7013624Z 
2022-11-23T01:32:32.7013708Z aten = torch.ops.aten
2022-11-23T01:32:32.7013853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7013945Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7013950Z 
2022-11-23T01:32:32.7014026Z import triton
2022-11-23T01:32:32.7014124Z import triton.language as tl
2022-11-23T01:32:32.7014255Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7014399Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7014405Z 
2022-11-23T01:32:32.7014409Z 
2022-11-23T01:32:32.7014573Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7014650Z import triton
2022-11-23T01:32:32.7014745Z import triton.language as tl
2022-11-23T01:32:32.7014855Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7014959Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7015097Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7015228Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7015233Z 
2022-11-23T01:32:32.7015622Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7015700Z @triton.jit
2022-11-23T01:32:32.7015885Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7015965Z     xnumel = 1000
2022-11-23T01:32:32.7016057Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7016193Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7016305Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7016379Z     x0 = xindex
2022-11-23T01:32:32.7016502Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7016622Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7016705Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7016839Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7016926Z ''')
2022-11-23T01:32:32.7016932Z 
2022-11-23T01:32:32.7016936Z 
2022-11-23T01:32:32.7017032Z async_compile.wait(globals())
2022-11-23T01:32:32.7017114Z del async_compile
2022-11-23T01:32:32.7017119Z 
2022-11-23T01:32:32.7017194Z def call(args):
2022-11-23T01:32:32.7017277Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7017355Z     args.clear()
2022-11-23T01:32:32.7017553Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7017646Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7017801Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7017875Z     del arg0_1
2022-11-23T01:32:32.7017948Z     del arg1_1
2022-11-23T01:32:32.7018025Z     return (buf0, )
2022-11-23T01:32:32.7018031Z 
2022-11-23T01:32:32.7018035Z 
2022-11-23T01:32:32.7018117Z if __name__ == "__main__":
2022-11-23T01:32:32.7018239Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7018361Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7018594Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7019013Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7019138Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7019143Z 
2022-11-23T01:32:32.7019148Z 
2022-11-23T01:32:32.7019247Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7019322Z import torch
2022-11-23T01:32:32.7019400Z import random
2022-11-23T01:32:32.7019521Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7019640Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7019645Z 
2022-11-23T01:32:32.7019728Z aten = torch.ops.aten
2022-11-23T01:32:32.7019870Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7019968Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7019974Z 
2022-11-23T01:32:32.7020049Z import triton
2022-11-23T01:32:32.7020145Z import triton.language as tl
2022-11-23T01:32:32.7020273Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7020408Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7020424Z 
2022-11-23T01:32:32.7020428Z 
2022-11-23T01:32:32.7020597Z triton_fused_add_1_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7020672Z import triton
2022-11-23T01:32:32.7020764Z import triton.language as tl
2022-11-23T01:32:32.7020881Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7020987Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7021123Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7021250Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7021255Z 
2022-11-23T01:32:32.7021641Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7021708Z @triton.jit
2022-11-23T01:32:32.7021853Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7021931Z     xnumel = 1000
2022-11-23T01:32:32.7022079Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7022213Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7022298Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7022371Z     x0 = xindex
2022-11-23T01:32:32.7022503Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7022620Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7022704Z     tmp1 = 1
2022-11-23T01:32:32.7022800Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7022888Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7023024Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7023113Z ''')
2022-11-23T01:32:32.7023118Z 
2022-11-23T01:32:32.7023122Z 
2022-11-23T01:32:32.7023209Z async_compile.wait(globals())
2022-11-23T01:32:32.7023288Z del async_compile
2022-11-23T01:32:32.7023293Z 
2022-11-23T01:32:32.7023369Z def call(args):
2022-11-23T01:32:32.7023449Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7023526Z     args.clear()
2022-11-23T01:32:32.7023735Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7023828Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7023988Z     triton_fused_add_1_view_add0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7024059Z     del arg0_1
2022-11-23T01:32:32.7024131Z     del arg1_1
2022-11-23T01:32:32.7024207Z     return (buf0, )
2022-11-23T01:32:32.7024212Z 
2022-11-23T01:32:32.7024217Z 
2022-11-23T01:32:32.7024297Z if __name__ == "__main__":
2022-11-23T01:32:32.7024417Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7024547Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7024778Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7024976Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7025098Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7025103Z 
2022-11-23T01:32:32.7025108Z 
2022-11-23T01:32:32.7025207Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7025282Z import torch
2022-11-23T01:32:32.7025360Z import random
2022-11-23T01:32:32.7025480Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7025608Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7025613Z 
2022-11-23T01:32:32.7025696Z aten = torch.ops.aten
2022-11-23T01:32:32.7025827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7025924Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7025929Z 
2022-11-23T01:32:32.7026003Z import triton
2022-11-23T01:32:32.7026098Z import triton.language as tl
2022-11-23T01:32:32.7026225Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7026367Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7026373Z 
2022-11-23T01:32:32.7026377Z 
2022-11-23T01:32:32.7026553Z triton_fused_add_1_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7026629Z import triton
2022-11-23T01:32:32.7026714Z import triton.language as tl
2022-11-23T01:32:32.7026831Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7026936Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7027074Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7027204Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7027209Z 
2022-11-23T01:32:32.7027591Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7027666Z @triton.jit
2022-11-23T01:32:32.7027812Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7027881Z     xnumel = 1000
2022-11-23T01:32:32.7027979Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7028142Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7028228Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7028299Z     x0 = xindex
2022-11-23T01:32:32.7028419Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7028561Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7028625Z     tmp1 = 1
2022-11-23T01:32:32.7028705Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7028785Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7028921Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7029009Z ''')
2022-11-23T01:32:32.7029014Z 
2022-11-23T01:32:32.7029018Z 
2022-11-23T01:32:32.7029112Z async_compile.wait(globals())
2022-11-23T01:32:32.7029189Z del async_compile
2022-11-23T01:32:32.7029194Z 
2022-11-23T01:32:32.7029270Z def call(args):
2022-11-23T01:32:32.7029343Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7029420Z     args.clear()
2022-11-23T01:32:32.7029625Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7029716Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7029876Z     triton_fused_add_1_view_add0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7029953Z     del arg0_1
2022-11-23T01:32:32.7030025Z     del arg1_1
2022-11-23T01:32:32.7030094Z     return (buf0, )
2022-11-23T01:32:32.7030099Z 
2022-11-23T01:32:32.7030104Z 
2022-11-23T01:32:32.7030184Z if __name__ == "__main__":
2022-11-23T01:32:32.7030374Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7030520Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7030789Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7030993Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7031114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7031123Z 
2022-11-23T01:32:32.7031487Z [2022-11-23 01:30:53,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ge/cgeqolwkfsfr36hk3usauiww45ozbe3xqvpxtx35thgs3k7a5wv4.py
2022-11-23T01:32:32.7031755Z [2022-11-23 01:30:53,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 842
2022-11-23T01:32:32.7031990Z [2022-11-23 01:30:53,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7032308Z [2022-11-23 01:30:53,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7032527Z [2022-11-23 01:30:53,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7032781Z [2022-11-23 01:30:53,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7033066Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7033391Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7033739Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7034068Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7034448Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7034547Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7034643Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7034779Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7034878Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7034979Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7035058Z              10 BINARY_ADD
2022-11-23T01:32:32.7035155Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7035264Z              14 RETURN_VALUE
2022-11-23T01:32:32.7035323Z  
2022-11-23T01:32:32.7035328Z 
2022-11-23T01:32:32.7035647Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7035869Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7036118Z [2022-11-23 01:30:53,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7036405Z [2022-11-23 01:30:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7036715Z [2022-11-23 01:30:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7036958Z [2022-11-23 01:30:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7037236Z [2022-11-23 01:30:53,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7037483Z [2022-11-23 01:30:53,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7037725Z [2022-11-23 01:30:53,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7038103Z [2022-11-23 01:30:53,346] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7038358Z [2022-11-23 01:30:53,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7038598Z [2022-11-23 01:30:53,346] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7038858Z [2022-11-23 01:30:53,347] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7039117Z [2022-11-23 01:30:53,350] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7039308Z [2022-11-23 01:30:53,350] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7039450Z  __compiled_fn_861 <eval_with_key>.5296 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7039547Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7039633Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7039739Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T01:32:32.7039921Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7040024Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7040030Z 
2022-11-23T01:32:32.7040354Z [2022-11-23 01:30:53,350] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7040457Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7040557Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7040652Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7040746Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7040838Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7040934Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7041016Z              12 RETURN_VALUE
2022-11-23T01:32:32.7041022Z 
2022-11-23T01:32:32.7041089Z  
2022-11-23T01:32:32.7041406Z [2022-11-23 01:30:53,351] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7041558Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_861)
2022-11-23T01:32:32.7041657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7041748Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7041830Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7041957Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7042052Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7042136Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7042236Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7042367Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7042522Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7042625Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7042720Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7042825Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7042938Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7043035Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7043117Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7043204Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7043305Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7043411Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7043507Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7043588Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7043698Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7043796Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7043893Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7043989Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7044073Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7044184Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7044266Z              54 RETURN_VALUE
2022-11-23T01:32:32.7044271Z 
2022-11-23T01:32:32.7044337Z  
2022-11-23T01:32:32.7044526Z [2022-11-23 01:30:53,352] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7044601Z  - 
2022-11-23T01:32:32.7044720Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7044791Z             {
2022-11-23T01:32:32.7044936Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7045127Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7045252Z                 'obj_weakref': None
2022-11-23T01:32:32.7045484Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7045553Z             }
2022-11-23T01:32:32.7045614Z             
2022-11-23T01:32:32.7045690Z  - 
2022-11-23T01:32:32.7045821Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7045891Z             {
2022-11-23T01:32:32.7046043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7046156Z                 'code': None,
2022-11-23T01:32:32.7046365Z                 'obj_weakref': <weakref at 0x7f2151f03ab0; to 'Tensor' at 0x7f1fead2b740>
2022-11-23T01:32:32.7046620Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7046693Z             }
2022-11-23T01:32:32.7046761Z             
2022-11-23T01:32:32.7046837Z  - 
2022-11-23T01:32:32.7046966Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7047035Z             {
2022-11-23T01:32:32.7047177Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7047291Z                 'code': None,
2022-11-23T01:32:32.7047505Z                 'obj_weakref': <weakref at 0x7f2151f00220; to 'Tensor' at 0x7f1fe812d940>
2022-11-23T01:32:32.7047759Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7047871Z             }
2022-11-23T01:32:32.7047941Z             
2022-11-23T01:32:32.7048018Z  - 
2022-11-23T01:32:32.7048155Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7048217Z             {
2022-11-23T01:32:32.7048360Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7048563Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7048688Z                 'obj_weakref': None
2022-11-23T01:32:32.7048924Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7048995Z             }
2022-11-23T01:32:32.7049064Z             
2022-11-23T01:32:32.7049133Z  - 
2022-11-23T01:32:32.7049259Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7049330Z             {
2022-11-23T01:32:32.7049472Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7049693Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7049819Z                 'obj_weakref': None
2022-11-23T01:32:32.7050046Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7050108Z             }
2022-11-23T01:32:32.7050176Z             
2022-11-23T01:32:32.7050257Z  - 
2022-11-23T01:32:32.7050441Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7050511Z             {
2022-11-23T01:32:32.7050684Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7051218Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:32.7051344Z                 'obj_weakref': None
2022-11-23T01:32:32.7051566Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7051635Z             }
2022-11-23T01:32:32.7051704Z             
2022-11-23T01:32:32.7051781Z  - 
2022-11-23T01:32:32.7051972Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7052045Z             {
2022-11-23T01:32:32.7052195Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7052471Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.7052594Z                 'obj_weakref': None
2022-11-23T01:32:32.7052814Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7052883Z             }
2022-11-23T01:32:32.7052952Z             
2022-11-23T01:32:32.7053027Z  - 
2022-11-23T01:32:32.7053214Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7053279Z             {
2022-11-23T01:32:32.7053429Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7053705Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7053830Z                 'obj_weakref': None
2022-11-23T01:32:32.7054049Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7054116Z             }
2022-11-23T01:32:32.7054184Z             
2022-11-23T01:32:32.7054440Z [2022-11-23 01:30:53,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 843
2022-11-23T01:32:32.7054689Z [2022-11-23 01:30:53,360] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7055044Z [2022-11-23 01:30:53,422] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjq6sq47bv5yvc63n6f4pxcython5gkz5zey2tcj7oagtrbitboe.py
2022-11-23T01:32:32.7055339Z [2022-11-23 01:30:53,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 843
2022-11-23T01:32:32.7055584Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7055957Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7056181Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7056438Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7056721Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7057046Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7057385Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7057708Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7058086Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7058187Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7058285Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7058365Z               4 BINARY_ADD
2022-11-23T01:32:32.7058466Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7058564Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7058652Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7058748Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7058936Z              14 BINARY_ADD
2022-11-23T01:32:32.7059033Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7059116Z              18 RETURN_VALUE
2022-11-23T01:32:32.7059189Z  
2022-11-23T01:32:32.7059195Z 
2022-11-23T01:32:32.7059516Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7059733Z [2022-11-23 01:30:53,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7059970Z [2022-11-23 01:30:53,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7060257Z [2022-11-23 01:30:53,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7060505Z [2022-11-23 01:30:53,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7060789Z [2022-11-23 01:30:53,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7061094Z [2022-11-23 01:30:53,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7061342Z [2022-11-23 01:30:53,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7061618Z [2022-11-23 01:30:53,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7061868Z [2022-11-23 01:30:53,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7062122Z [2022-11-23 01:30:53,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7062597Z [2022-11-23 01:30:53,429] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7062842Z [2022-11-23 01:30:53,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7063109Z [2022-11-23 01:30:53,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7063371Z [2022-11-23 01:30:53,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7063629Z [2022-11-23 01:30:53,434] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7063826Z [2022-11-23 01:30:53,434] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7063968Z  __compiled_fn_862 <eval_with_key>.5302 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7064064Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7064158Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7064334Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7064440Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T01:32:32.7064626Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7064736Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7064742Z 
2022-11-23T01:32:32.7065073Z [2022-11-23 01:30:53,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7065173Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7065272Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7065366Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7065458Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7065552Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7065647Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7065731Z              12 RETURN_VALUE
2022-11-23T01:32:32.7065737Z 
2022-11-23T01:32:32.7065802Z  
2022-11-23T01:32:32.7066127Z [2022-11-23 01:30:53,435] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7066250Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_862)
2022-11-23T01:32:32.7066348Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7066438Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7066521Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7066618Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7066714Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7066796Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7066893Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7067006Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7067138Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7067244Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7067338Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7067440Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7067552Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7067650Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7067732Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7067820Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7067919Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7068031Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7068129Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7068210Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7068319Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7068450Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7068557Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7068646Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7068728Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7068839Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7068944Z              54 RETURN_VALUE
2022-11-23T01:32:32.7068949Z 
2022-11-23T01:32:32.7069015Z  
2022-11-23T01:32:32.7069206Z [2022-11-23 01:30:53,436] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7069283Z  - 
2022-11-23T01:32:32.7069400Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7069469Z             {
2022-11-23T01:32:32.7069618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7069812Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7069940Z                 'obj_weakref': None
2022-11-23T01:32:32.7070172Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7070242Z             }
2022-11-23T01:32:32.7070374Z             
2022-11-23T01:32:32.7070466Z  - 
2022-11-23T01:32:32.7070611Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7070681Z             {
2022-11-23T01:32:32.7070834Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7070951Z                 'code': None,
2022-11-23T01:32:32.7071172Z                 'obj_weakref': <weakref at 0x7f1ffad5e8e0; to 'Tensor' at 0x7f1fead2b740>
2022-11-23T01:32:32.7071418Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7071487Z             }
2022-11-23T01:32:32.7071555Z             
2022-11-23T01:32:32.7071631Z  - 
2022-11-23T01:32:32.7071763Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7071831Z             {
2022-11-23T01:32:32.7071980Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7072088Z                 'code': None,
2022-11-23T01:32:32.7072303Z                 'obj_weakref': <weakref at 0x7f20233c8040; to 'Tensor' at 0x7f1fd9a6e250>
2022-11-23T01:32:32.7072555Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7072625Z             }
2022-11-23T01:32:32.7072693Z             
2022-11-23T01:32:32.7072767Z  - 
2022-11-23T01:32:32.7072902Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7072963Z             {
2022-11-23T01:32:32.7073102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7073279Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7073402Z                 'obj_weakref': None
2022-11-23T01:32:32.7073635Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7073702Z             }
2022-11-23T01:32:32.7073770Z             
2022-11-23T01:32:32.7073839Z  - 
2022-11-23T01:32:32.7073969Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7074039Z             {
2022-11-23T01:32:32.7074180Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7074400Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7074526Z                 'obj_weakref': None
2022-11-23T01:32:32.7074750Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7074811Z             }
2022-11-23T01:32:32.7074879Z             
2022-11-23T01:32:32.7074954Z  - 
2022-11-23T01:32:32.7075137Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7075208Z             {
2022-11-23T01:32:32.7075381Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7075944Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:32.7076070Z                 'obj_weakref': None
2022-11-23T01:32:32.7076288Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7076377Z             }
2022-11-23T01:32:32.7076445Z             
2022-11-23T01:32:32.7076520Z  - 
2022-11-23T01:32:32.7076709Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7076777Z             {
2022-11-23T01:32:32.7076925Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7077201Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.7077326Z                 'obj_weakref': None
2022-11-23T01:32:32.7077549Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7077617Z             }
2022-11-23T01:32:32.7077686Z             
2022-11-23T01:32:32.7077762Z  - 
2022-11-23T01:32:32.7077956Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7078020Z             {
2022-11-23T01:32:32.7078167Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7078450Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7078580Z                 'obj_weakref': None
2022-11-23T01:32:32.7078801Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7078869Z             }
2022-11-23T01:32:32.7078939Z             
2022-11-23T01:32:32.7079205Z [2022-11-23 01:30:53,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 844
2022-11-23T01:32:32.7079452Z [2022-11-23 01:30:53,451] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7079823Z [2022-11-23 01:30:53,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t7/ct7y5zxlnizmdawdlksmvtjr5kg3u6wqfsjy4vbnslhuvxat4svv.py
2022-11-23T01:32:32.7080097Z [2022-11-23 01:30:53,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 844
2022-11-23T01:32:32.7080340Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7080661Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7080883Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7081144Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7081427Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7081751Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7082100Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7082418Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7082793Z [2022-11-23 01:30:53,516] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7082893Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7083024Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7083105Z               4 BINARY_ADD
2022-11-23T01:32:32.7083207Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7083310Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7083402Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7083514Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7083593Z              14 BINARY_ADD
2022-11-23T01:32:32.7083701Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7083795Z              18 RETURN_VALUE
2022-11-23T01:32:32.7083869Z  
2022-11-23T01:32:32.7083875Z 
2022-11-23T01:32:32.7084213Z [2022-11-23 01:30:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7084429Z [2022-11-23 01:30:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7084678Z [2022-11-23 01:30:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7084956Z [2022-11-23 01:30:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7085204Z [2022-11-23 01:30:53,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7085489Z [2022-11-23 01:30:53,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7085795Z [2022-11-23 01:30:53,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7086036Z [2022-11-23 01:30:53,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7086309Z [2022-11-23 01:30:53,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7086636Z [2022-11-23 01:30:53,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7086957Z [2022-11-23 01:30:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7087346Z [2022-11-23 01:30:53,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7087606Z [2022-11-23 01:30:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7087840Z [2022-11-23 01:30:53,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7088102Z [2022-11-23 01:30:53,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7088360Z [2022-11-23 01:30:53,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7088560Z [2022-11-23 01:30:53,525] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7088703Z  __compiled_fn_863 <eval_with_key>.5308 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7088800Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7088894Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7089076Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7089174Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T01:32:32.7089362Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7089478Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7089483Z 
2022-11-23T01:32:32.7089818Z [2022-11-23 01:30:53,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7089925Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7090024Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7090169Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7090272Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7090365Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7090464Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7090561Z              12 RETURN_VALUE
2022-11-23T01:32:32.7090566Z 
2022-11-23T01:32:32.7090633Z  
2022-11-23T01:32:32.7090959Z [2022-11-23 01:30:53,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7091078Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_863)
2022-11-23T01:32:32.7091177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7091275Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7091357Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7091446Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7091544Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7091625Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7091720Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7091834Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7091976Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7092082Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7092176Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7092273Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7092382Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7092478Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7092559Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7092652Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7092750Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7092860Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7092949Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7093029Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7093139Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7093238Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7093348Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7093442Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7093523Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7093624Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7093705Z              54 RETURN_VALUE
2022-11-23T01:32:32.7093711Z 
2022-11-23T01:32:32.7093776Z  
2022-11-23T01:32:32.7093966Z [2022-11-23 01:30:53,526] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7094041Z  - 
2022-11-23T01:32:32.7094166Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7094235Z             {
2022-11-23T01:32:32.7094375Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7094567Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7094691Z                 'obj_weakref': None
2022-11-23T01:32:32.7094916Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7094988Z             }
2022-11-23T01:32:32.7095055Z             
2022-11-23T01:32:32.7095130Z  - 
2022-11-23T01:32:32.7095252Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7095320Z             {
2022-11-23T01:32:32.7095470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7095581Z                 'code': None,
2022-11-23T01:32:32.7095796Z                 'obj_weakref': <weakref at 0x7f1feadc3e20; to 'Tensor' at 0x7f2151eee430>
2022-11-23T01:32:32.7096049Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7096117Z             }
2022-11-23T01:32:32.7096221Z             
2022-11-23T01:32:32.7096298Z  - 
2022-11-23T01:32:32.7096425Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7096494Z             {
2022-11-23T01:32:32.7096640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7096772Z                 'code': None,
2022-11-23T01:32:32.7096989Z                 'obj_weakref': <weakref at 0x7f201e2394e0; to 'Tensor' at 0x7f1ffad8c090>
2022-11-23T01:32:32.7097231Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7097300Z             }
2022-11-23T01:32:32.7097369Z             
2022-11-23T01:32:32.7097444Z  - 
2022-11-23T01:32:32.7097580Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7097648Z             {
2022-11-23T01:32:32.7097788Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7097959Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7098086Z                 'obj_weakref': None
2022-11-23T01:32:32.7098321Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7098392Z             }
2022-11-23T01:32:32.7098459Z             
2022-11-23T01:32:32.7098534Z  - 
2022-11-23T01:32:32.7098665Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7098726Z             {
2022-11-23T01:32:32.7099080Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7099312Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7099436Z                 'obj_weakref': None
2022-11-23T01:32:32.7099662Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7099734Z             }
2022-11-23T01:32:32.7099802Z             
2022-11-23T01:32:32.7099871Z  - 
2022-11-23T01:32:32.7100056Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7100128Z             {
2022-11-23T01:32:32.7100305Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7100837Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:32.7100966Z                 'obj_weakref': None
2022-11-23T01:32:32.7101188Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7101257Z             }
2022-11-23T01:32:32.7101318Z             
2022-11-23T01:32:32.7101394Z  - 
2022-11-23T01:32:32.7101580Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7101651Z             {
2022-11-23T01:32:32.7101797Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7102081Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.7102204Z                 'obj_weakref': None
2022-11-23T01:32:32.7102425Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7102489Z             }
2022-11-23T01:32:32.7102557Z             
2022-11-23T01:32:32.7102648Z  - 
2022-11-23T01:32:32.7102864Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7102939Z             {
2022-11-23T01:32:32.7103086Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7103365Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7103479Z                 'obj_weakref': None
2022-11-23T01:32:32.7103756Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7103826Z             }
2022-11-23T01:32:32.7103894Z             
2022-11-23T01:32:32.7104158Z [2022-11-23 01:30:53,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 845
2022-11-23T01:32:32.7104437Z [2022-11-23 01:30:53,538] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7104443Z 
2022-11-23T01:32:32.7104542Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7104608Z import torch
2022-11-23T01:32:32.7104684Z import random
2022-11-23T01:32:32.7104805Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7104931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7104937Z 
2022-11-23T01:32:32.7105019Z aten = torch.ops.aten
2022-11-23T01:32:32.7105159Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7105256Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7105262Z 
2022-11-23T01:32:32.7105340Z import triton
2022-11-23T01:32:32.7105427Z import triton.language as tl
2022-11-23T01:32:32.7105555Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7105699Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7105705Z 
2022-11-23T01:32:32.7105714Z 
2022-11-23T01:32:32.7105879Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7105954Z import triton
2022-11-23T01:32:32.7106046Z import triton.language as tl
2022-11-23T01:32:32.7106164Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7106269Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7106398Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7106526Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7106531Z 
2022-11-23T01:32:32.7106924Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7107000Z @triton.jit
2022-11-23T01:32:32.7107145Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7107219Z     xnumel = 16
2022-11-23T01:32:32.7107318Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7107455Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7107532Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7107603Z     x0 = xindex
2022-11-23T01:32:32.7107705Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7107802Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7107882Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7108019Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7108105Z ''')
2022-11-23T01:32:32.7108110Z 
2022-11-23T01:32:32.7108115Z 
2022-11-23T01:32:32.7108202Z async_compile.wait(globals())
2022-11-23T01:32:32.7108280Z del async_compile
2022-11-23T01:32:32.7108287Z 
2022-11-23T01:32:32.7108361Z def call(args):
2022-11-23T01:32:32.7108441Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7108517Z     args.clear()
2022-11-23T01:32:32.7108719Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7108813Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7108957Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7109030Z     del arg0_1
2022-11-23T01:32:32.7109102Z     del arg1_1
2022-11-23T01:32:32.7109181Z     return (buf0, )
2022-11-23T01:32:32.7109187Z 
2022-11-23T01:32:32.7109191Z 
2022-11-23T01:32:32.7109270Z if __name__ == "__main__":
2022-11-23T01:32:32.7109391Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7109520Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7109741Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7109978Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7110106Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7110112Z 
2022-11-23T01:32:32.7110116Z 
2022-11-23T01:32:32.7110216Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7110432Z import torch
2022-11-23T01:32:32.7110527Z import random
2022-11-23T01:32:32.7110649Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7110774Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7110780Z 
2022-11-23T01:32:32.7110861Z aten = torch.ops.aten
2022-11-23T01:32:32.7110995Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7111092Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7111097Z 
2022-11-23T01:32:32.7111175Z import triton
2022-11-23T01:32:32.7111267Z import triton.language as tl
2022-11-23T01:32:32.7111396Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7111547Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7111552Z 
2022-11-23T01:32:32.7111557Z 
2022-11-23T01:32:32.7111723Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7111800Z import triton
2022-11-23T01:32:32.7111885Z import triton.language as tl
2022-11-23T01:32:32.7112004Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7112107Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7112244Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7112370Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7112375Z 
2022-11-23T01:32:32.7112757Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7112831Z @triton.jit
2022-11-23T01:32:32.7112975Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7113045Z     xnumel = 16
2022-11-23T01:32:32.7113143Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7113275Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7113360Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7113434Z     x0 = xindex
2022-11-23T01:32:32.7113552Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7113669Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7113741Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7113881Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7113967Z ''')
2022-11-23T01:32:32.7113973Z 
2022-11-23T01:32:32.7113977Z 
2022-11-23T01:32:32.7114070Z async_compile.wait(globals())
2022-11-23T01:32:32.7114148Z del async_compile
2022-11-23T01:32:32.7114153Z 
2022-11-23T01:32:32.7114229Z def call(args):
2022-11-23T01:32:32.7114309Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7114377Z     args.clear()
2022-11-23T01:32:32.7114581Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7114672Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7114820Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7114895Z     del arg0_1
2022-11-23T01:32:32.7114966Z     del arg1_1
2022-11-23T01:32:32.7115044Z     return (buf0, )
2022-11-23T01:32:32.7115049Z 
2022-11-23T01:32:32.7115054Z 
2022-11-23T01:32:32.7115133Z if __name__ == "__main__":
2022-11-23T01:32:32.7115245Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7115374Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7115586Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7115786Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7115905Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7115911Z 
2022-11-23T01:32:32.7115950Z 
2022-11-23T01:32:32.7116052Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7116125Z import torch
2022-11-23T01:32:32.7116200Z import random
2022-11-23T01:32:32.7116313Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7116467Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7116472Z 
2022-11-23T01:32:32.7116557Z aten = torch.ops.aten
2022-11-23T01:32:32.7116697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7116795Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7116800Z 
2022-11-23T01:32:32.7116872Z import triton
2022-11-23T01:32:32.7116964Z import triton.language as tl
2022-11-23T01:32:32.7117084Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7117230Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7117236Z 
2022-11-23T01:32:32.7117240Z 
2022-11-23T01:32:32.7117413Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.7117493Z import triton
2022-11-23T01:32:32.7117587Z import triton.language as tl
2022-11-23T01:32:32.7117702Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7117805Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7117939Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7118063Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7118068Z 
2022-11-23T01:32:32.7118454Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7118527Z @triton.jit
2022-11-23T01:32:32.7118670Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7118743Z     xnumel = 16
2022-11-23T01:32:32.7118843Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7118980Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7119063Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7119128Z     x0 = xindex
2022-11-23T01:32:32.7119226Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7119323Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7119397Z     tmp1 = 1
2022-11-23T01:32:32.7119476Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7119555Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7119693Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7119772Z ''')
2022-11-23T01:32:32.7119778Z 
2022-11-23T01:32:32.7119782Z 
2022-11-23T01:32:32.7119876Z async_compile.wait(globals())
2022-11-23T01:32:32.7119953Z del async_compile
2022-11-23T01:32:32.7119958Z 
2022-11-23T01:32:32.7120032Z def call(args):
2022-11-23T01:32:32.7120111Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7120186Z     args.clear()
2022-11-23T01:32:32.7120384Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7120469Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7120625Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7120698Z     del arg0_1
2022-11-23T01:32:32.7120770Z     del arg1_1
2022-11-23T01:32:32.7120846Z     return (buf0, )
2022-11-23T01:32:32.7120855Z 
2022-11-23T01:32:32.7120859Z 
2022-11-23T01:32:32.7120939Z if __name__ == "__main__":
2022-11-23T01:32:32.7121059Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7121186Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7121388Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7121587Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7121707Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7121713Z 
2022-11-23T01:32:32.7122111Z [2022-11-23 01:30:53,600] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3z/c3zxprxtg42qagwdn37vomhlqv2oj2vgm33xa7qgjtfp4zpruc7d.py
2022-11-23T01:32:32.7122384Z [2022-11-23 01:30:53,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 845
2022-11-23T01:32:32.7122623Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7122958Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7123178Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7123432Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7123702Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7124022Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7124362Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7124685Z [2022-11-23 01:30:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7125056Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7125156Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7125255Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7125355Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7125448Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7125540Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7125618Z              10 BINARY_ADD
2022-11-23T01:32:32.7125713Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7125796Z              14 RETURN_VALUE
2022-11-23T01:32:32.7125865Z  
2022-11-23T01:32:32.7125871Z 
2022-11-23T01:32:32.7126182Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7126399Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7126644Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7126925Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7127226Z [2022-11-23 01:30:53,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7127468Z [2022-11-23 01:30:53,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7127744Z [2022-11-23 01:30:53,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7127991Z [2022-11-23 01:30:53,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7128242Z [2022-11-23 01:30:53,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7128619Z [2022-11-23 01:30:53,607] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7128868Z [2022-11-23 01:30:53,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7129143Z [2022-11-23 01:30:53,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7129404Z [2022-11-23 01:30:53,608] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7129650Z [2022-11-23 01:30:53,611] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7129872Z [2022-11-23 01:30:53,611] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7130014Z  __compiled_fn_864 <eval_with_key>.5314 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7130110Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7130203Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7130305Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T01:32:32.7130488Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7130589Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7130595Z 
2022-11-23T01:32:32.7130922Z [2022-11-23 01:30:53,611] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7131024Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7131122Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7131220Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7131325Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7131416Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7131511Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7131590Z              12 RETURN_VALUE
2022-11-23T01:32:32.7131595Z 
2022-11-23T01:32:32.7131653Z  
2022-11-23T01:32:32.7131977Z [2022-11-23 01:30:53,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7132094Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_864)
2022-11-23T01:32:32.7132197Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7132295Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7132377Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7132475Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7132563Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7132649Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7132741Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7132866Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7133021Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7133145Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7133237Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7133339Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7133440Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7133541Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7133622Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7133715Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7133814Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7133921Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7134018Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7134092Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7134202Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7134301Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7134405Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7134499Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7134580Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7134688Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7134761Z              54 RETURN_VALUE
2022-11-23T01:32:32.7134766Z 
2022-11-23T01:32:32.7134858Z  
2022-11-23T01:32:32.7135050Z [2022-11-23 01:30:53,612] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7135126Z  - 
2022-11-23T01:32:32.7135250Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7135320Z             {
2022-11-23T01:32:32.7135489Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7135674Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7135800Z                 'obj_weakref': None
2022-11-23T01:32:32.7136026Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7136095Z             }
2022-11-23T01:32:32.7136164Z             
2022-11-23T01:32:32.7136240Z  - 
2022-11-23T01:32:32.7136368Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7136429Z             {
2022-11-23T01:32:32.7136577Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7136687Z                 'code': None,
2022-11-23T01:32:32.7136905Z                 'obj_weakref': <weakref at 0x7f201e3e46d0; to 'Tensor' at 0x7f1ffad30f40>
2022-11-23T01:32:32.7137154Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7137224Z             }
2022-11-23T01:32:32.7137291Z             
2022-11-23T01:32:32.7137360Z  - 
2022-11-23T01:32:32.7137487Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7137556Z             {
2022-11-23T01:32:32.7137704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7137816Z                 'code': None,
2022-11-23T01:32:32.7138029Z                 'obj_weakref': <weakref at 0x7f1ff81d8130; to 'Tensor' at 0x7f2151eee430>
2022-11-23T01:32:32.7138286Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7138347Z             }
2022-11-23T01:32:32.7138416Z             
2022-11-23T01:32:32.7138490Z  - 
2022-11-23T01:32:32.7138628Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7138696Z             {
2022-11-23T01:32:32.7138954Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7139132Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7139253Z                 'obj_weakref': None
2022-11-23T01:32:32.7139486Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7139554Z             }
2022-11-23T01:32:32.7139622Z             
2022-11-23T01:32:32.7139701Z  - 
2022-11-23T01:32:32.7139826Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7139894Z             {
2022-11-23T01:32:32.7140028Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7140249Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7140371Z                 'obj_weakref': None
2022-11-23T01:32:32.7140599Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7140668Z             }
2022-11-23T01:32:32.7140735Z             
2022-11-23T01:32:32.7140810Z  - 
2022-11-23T01:32:32.7140986Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7141057Z             {
2022-11-23T01:32:32.7141230Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7141668Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:32.7141792Z                 'obj_weakref': None
2022-11-23T01:32:32.7142015Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7142085Z             }
2022-11-23T01:32:32.7142152Z             
2022-11-23T01:32:32.7142220Z  - 
2022-11-23T01:32:32.7142467Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7142536Z             {
2022-11-23T01:32:32.7142685Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7142972Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:32.7143127Z                 'obj_weakref': None
2022-11-23T01:32:32.7143348Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7143409Z             }
2022-11-23T01:32:32.7143480Z             
2022-11-23T01:32:32.7143746Z [2022-11-23 01:30:53,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 846
2022-11-23T01:32:32.7143998Z [2022-11-23 01:30:53,620] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7144377Z [2022-11-23 01:30:53,626] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbnrrqpjfhct6uqpjhvfgewfmhnammwprvdpmpgednqjdbxrnr3.py
2022-11-23T01:32:32.7144645Z [2022-11-23 01:30:53,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 846
2022-11-23T01:32:32.7144887Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7145209Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7145430Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7145680Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7145961Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7146288Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7146634Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7146959Z [2022-11-23 01:30:53,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7147340Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7147439Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7147541Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7147641Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7147729Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7147825Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7147903Z              10 BINARY_ADD
2022-11-23T01:32:32.7147997Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7148078Z              14 RETURN_VALUE
2022-11-23T01:32:32.7148146Z  
2022-11-23T01:32:32.7148152Z 
2022-11-23T01:32:32.7148469Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7148686Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7148926Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7149213Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7149552Z [2022-11-23 01:30:53,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7149794Z [2022-11-23 01:30:53,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7150072Z [2022-11-23 01:30:53,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7150418Z [2022-11-23 01:30:53,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7150698Z [2022-11-23 01:30:53,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7151081Z [2022-11-23 01:30:53,632] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7151333Z [2022-11-23 01:30:53,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7151574Z [2022-11-23 01:30:53,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7151827Z [2022-11-23 01:30:53,633] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7152089Z [2022-11-23 01:30:53,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7152282Z [2022-11-23 01:30:53,636] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7152425Z  __compiled_fn_865 <eval_with_key>.5320 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7152519Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7152611Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7152717Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T01:32:32.7152903Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7152998Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7153003Z 
2022-11-23T01:32:32.7153336Z [2022-11-23 01:30:53,637] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7153439Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7153536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7153632Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7153734Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7153825Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7153919Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7153995Z              12 RETURN_VALUE
2022-11-23T01:32:32.7154000Z 
2022-11-23T01:32:32.7154065Z  
2022-11-23T01:32:32.7154390Z [2022-11-23 01:30:53,637] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7154510Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_865)
2022-11-23T01:32:32.7154612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7154709Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7154791Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7154879Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7154976Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7155056Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7155150Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7155264Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7155402Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7155506Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7155601Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7155697Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7155809Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7155941Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7156024Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7156118Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7156218Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7156348Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7156437Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7156518Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7156629Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7156727Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7156832Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7156930Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7157011Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7157112Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7157192Z              54 RETURN_VALUE
2022-11-23T01:32:32.7157199Z 
2022-11-23T01:32:32.7157270Z  
2022-11-23T01:32:32.7157464Z [2022-11-23 01:30:53,638] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7157540Z  - 
2022-11-23T01:32:32.7157663Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7157732Z             {
2022-11-23T01:32:32.7157875Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7158066Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7158189Z                 'obj_weakref': None
2022-11-23T01:32:32.7158416Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7158485Z             }
2022-11-23T01:32:32.7158553Z             
2022-11-23T01:32:32.7158628Z  - 
2022-11-23T01:32:32.7158749Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7158816Z             {
2022-11-23T01:32:32.7158963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7159078Z                 'code': None,
2022-11-23T01:32:32.7159294Z                 'obj_weakref': <weakref at 0x7f1fd810da80; to 'Tensor' at 0x7f1f25e72f20>
2022-11-23T01:32:32.7159549Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7159620Z             }
2022-11-23T01:32:32.7159681Z             
2022-11-23T01:32:32.7159757Z  - 
2022-11-23T01:32:32.7159886Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7159954Z             {
2022-11-23T01:32:32.7160106Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7160216Z                 'code': None,
2022-11-23T01:32:32.7160431Z                 'obj_weakref': <weakref at 0x7f1fd810f510; to 'Tensor' at 0x7f2151f01260>
2022-11-23T01:32:32.7160674Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7160743Z             }
2022-11-23T01:32:32.7160810Z             
2022-11-23T01:32:32.7160884Z  - 
2022-11-23T01:32:32.7161022Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7161090Z             {
2022-11-23T01:32:32.7161231Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7161401Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7161529Z                 'obj_weakref': None
2022-11-23T01:32:32.7161764Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7161832Z             }
2022-11-23T01:32:32.7161899Z             
2022-11-23T01:32:32.7161974Z  - 
2022-11-23T01:32:32.7162103Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7162181Z             {
2022-11-23T01:32:32.7162342Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7162581Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7162704Z                 'obj_weakref': None
2022-11-23T01:32:32.7163004Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7163074Z             }
2022-11-23T01:32:32.7163141Z             
2022-11-23T01:32:32.7163210Z  - 
2022-11-23T01:32:32.7163395Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7163487Z             {
2022-11-23T01:32:32.7163663Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7164106Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:32.7164232Z                 'obj_weakref': None
2022-11-23T01:32:32.7164459Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7164527Z             }
2022-11-23T01:32:32.7164588Z             
2022-11-23T01:32:32.7164666Z  - 
2022-11-23T01:32:32.7164856Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7164924Z             {
2022-11-23T01:32:32.7165073Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7165359Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:32.7165485Z                 'obj_weakref': None
2022-11-23T01:32:32.7165700Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7165767Z             }
2022-11-23T01:32:32.7165834Z             
2022-11-23T01:32:32.7166104Z [2022-11-23 01:30:53,643] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 847
2022-11-23T01:32:32.7166359Z [2022-11-23 01:30:53,647] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7166731Z [2022-11-23 01:30:53,652] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qj/cqj6mussrrqsqec4bzi2vifmgwgtymlnppu3ohvcrqnlfrjudnuz.py
2022-11-23T01:32:32.7166999Z [2022-11-23 01:30:53,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 847
2022-11-23T01:32:32.7167245Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7167563Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7167780Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7168038Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7168316Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7168644Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7168993Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7169323Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7169699Z [2022-11-23 01:30:53,656] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7169803Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7169901Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7169981Z               4 BINARY_ADD
2022-11-23T01:32:32.7170106Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7170207Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7170301Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7170403Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7170480Z              14 BINARY_ADD
2022-11-23T01:32:32.7170599Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7170685Z              18 RETURN_VALUE
2022-11-23T01:32:32.7170743Z  
2022-11-23T01:32:32.7170748Z 
2022-11-23T01:32:32.7171064Z [2022-11-23 01:30:53,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7171282Z [2022-11-23 01:30:53,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7171528Z [2022-11-23 01:30:53,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7171820Z [2022-11-23 01:30:53,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7172069Z [2022-11-23 01:30:53,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7172354Z [2022-11-23 01:30:53,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7172662Z [2022-11-23 01:30:53,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7172929Z [2022-11-23 01:30:53,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7173223Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7173472Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7173726Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7174103Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7174357Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7174596Z [2022-11-23 01:30:53,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7174856Z [2022-11-23 01:30:53,661] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7175113Z [2022-11-23 01:30:53,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7175308Z [2022-11-23 01:30:53,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7175447Z  __compiled_fn_866 <eval_with_key>.5326 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7175541Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7175634Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7175814Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7175915Z call_method, view, view, (add, [35]), {}
2022-11-23T01:32:32.7176106Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7176208Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7176213Z 
2022-11-23T01:32:32.7176544Z [2022-11-23 01:30:53,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7176638Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7176735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7176829Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7176931Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7177084Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7177181Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7177262Z              12 RETURN_VALUE
2022-11-23T01:32:32.7177267Z 
2022-11-23T01:32:32.7177332Z  
2022-11-23T01:32:32.7177650Z [2022-11-23 01:30:53,665] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7177791Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_866)
2022-11-23T01:32:32.7177887Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7177985Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7178067Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7178162Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7178256Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7178331Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7178425Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7178542Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7178685Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7178972Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7179071Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7179176Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7179278Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7179374Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7179455Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7179549Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7179646Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7179752Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7179846Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7179928Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7180033Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7180133Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7180237Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7180332Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7180415Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7180522Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7180602Z              54 RETURN_VALUE
2022-11-23T01:32:32.7180607Z 
2022-11-23T01:32:32.7180665Z  
2022-11-23T01:32:32.7180857Z [2022-11-23 01:30:53,665] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7180933Z  - 
2022-11-23T01:32:32.7181058Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7181126Z             {
2022-11-23T01:32:32.7181274Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7181466Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7181584Z                 'obj_weakref': None
2022-11-23T01:32:32.7181810Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7181879Z             }
2022-11-23T01:32:32.7181949Z             
2022-11-23T01:32:32.7182027Z  - 
2022-11-23T01:32:32.7182157Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7182225Z             {
2022-11-23T01:32:32.7182366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7182478Z                 'code': None,
2022-11-23T01:32:32.7182695Z                 'obj_weakref': <weakref at 0x7f1ff81db920; to 'Tensor' at 0x7f2151eee430>
2022-11-23T01:32:32.7182964Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7183044Z             }
2022-11-23T01:32:32.7183118Z             
2022-11-23T01:32:32.7183211Z  - 
2022-11-23T01:32:32.7183333Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7183451Z             {
2022-11-23T01:32:32.7183602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7183715Z                 'code': None,
2022-11-23T01:32:32.7183933Z                 'obj_weakref': <weakref at 0x7f1ffadbcdb0; to 'Tensor' at 0x7f2022f30ae0>
2022-11-23T01:32:32.7184212Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7184280Z             }
2022-11-23T01:32:32.7184341Z             
2022-11-23T01:32:32.7184419Z  - 
2022-11-23T01:32:32.7184553Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7184623Z             {
2022-11-23T01:32:32.7184763Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7184942Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7185067Z                 'obj_weakref': None
2022-11-23T01:32:32.7185294Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7185366Z             }
2022-11-23T01:32:32.7185433Z             
2022-11-23T01:32:32.7185508Z  - 
2022-11-23T01:32:32.7185638Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7185706Z             {
2022-11-23T01:32:32.7185851Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7186070Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7186193Z                 'obj_weakref': None
2022-11-23T01:32:32.7186419Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7186488Z             }
2022-11-23T01:32:32.7186555Z             
2022-11-23T01:32:32.7186629Z  - 
2022-11-23T01:32:32.7186813Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7186875Z             {
2022-11-23T01:32:32.7187047Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7187490Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:32.7187615Z                 'obj_weakref': None
2022-11-23T01:32:32.7187844Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7187912Z             }
2022-11-23T01:32:32.7187979Z             
2022-11-23T01:32:32.7188054Z  - 
2022-11-23T01:32:32.7188236Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7188305Z             {
2022-11-23T01:32:32.7188453Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7188739Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:32.7188864Z                 'obj_weakref': None
2022-11-23T01:32:32.7189087Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7189155Z             }
2022-11-23T01:32:32.7189216Z             
2022-11-23T01:32:32.7189484Z [2022-11-23 01:30:53,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 848
2022-11-23T01:32:32.7189743Z [2022-11-23 01:30:53,677] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7189749Z 
2022-11-23T01:32:32.7189848Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7189923Z import torch
2022-11-23T01:32:32.7189997Z import random
2022-11-23T01:32:32.7190118Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7190303Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7190310Z 
2022-11-23T01:32:32.7190400Z aten = torch.ops.aten
2022-11-23T01:32:32.7190558Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7190710Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7190717Z 
2022-11-23T01:32:32.7190797Z import triton
2022-11-23T01:32:32.7190892Z import triton.language as tl
2022-11-23T01:32:32.7191021Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7191165Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7191193Z 
2022-11-23T01:32:32.7191197Z 
2022-11-23T01:32:32.7191375Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.7191444Z import triton
2022-11-23T01:32:32.7191537Z import triton.language as tl
2022-11-23T01:32:32.7191653Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7191757Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7191894Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7192025Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7192030Z 
2022-11-23T01:32:32.7192450Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7192543Z @triton.jit
2022-11-23T01:32:32.7192682Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7192763Z     xnumel = 16
2022-11-23T01:32:32.7192862Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7192995Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7193082Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7193158Z     x0 = xindex
2022-11-23T01:32:32.7193280Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7193392Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7193464Z     tmp1 = 1
2022-11-23T01:32:32.7193545Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7193625Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7193764Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7193857Z ''')
2022-11-23T01:32:32.7193863Z 
2022-11-23T01:32:32.7193868Z 
2022-11-23T01:32:32.7193962Z async_compile.wait(globals())
2022-11-23T01:32:32.7194033Z del async_compile
2022-11-23T01:32:32.7194038Z 
2022-11-23T01:32:32.7194116Z def call(args):
2022-11-23T01:32:32.7194200Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7194278Z     args.clear()
2022-11-23T01:32:32.7194481Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7194573Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7194730Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7194797Z     del arg0_1
2022-11-23T01:32:32.7194871Z     del arg1_1
2022-11-23T01:32:32.7194948Z     return (buf0, )
2022-11-23T01:32:32.7194953Z 
2022-11-23T01:32:32.7194958Z 
2022-11-23T01:32:32.7195040Z if __name__ == "__main__":
2022-11-23T01:32:32.7195161Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7195294Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7195509Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7195711Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7195829Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7195840Z 
2022-11-23T01:32:32.7195844Z 
2022-11-23T01:32:32.7195937Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7196012Z import torch
2022-11-23T01:32:32.7196087Z import random
2022-11-23T01:32:32.7196208Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7196334Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7196339Z 
2022-11-23T01:32:32.7196421Z aten = torch.ops.aten
2022-11-23T01:32:32.7196560Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7196650Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7196655Z 
2022-11-23T01:32:32.7196755Z import triton
2022-11-23T01:32:32.7196852Z import triton.language as tl
2022-11-23T01:32:32.7196981Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7197124Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7197152Z 
2022-11-23T01:32:32.7197157Z 
2022-11-23T01:32:32.7197321Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7197398Z import triton
2022-11-23T01:32:32.7197492Z import triton.language as tl
2022-11-23T01:32:32.7197600Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7197705Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7197840Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7197966Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7197971Z 
2022-11-23T01:32:32.7198356Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7198430Z @triton.jit
2022-11-23T01:32:32.7198576Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7198651Z     xnumel = 35
2022-11-23T01:32:32.7198746Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7198878Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7198961Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7199036Z     x0 = xindex
2022-11-23T01:32:32.7199135Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7199232Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7199312Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7199443Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7199532Z ''')
2022-11-23T01:32:32.7199537Z 
2022-11-23T01:32:32.7199542Z 
2022-11-23T01:32:32.7199636Z async_compile.wait(globals())
2022-11-23T01:32:32.7199714Z del async_compile
2022-11-23T01:32:32.7199722Z 
2022-11-23T01:32:32.7199802Z def call(args):
2022-11-23T01:32:32.7199884Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7199961Z     args.clear()
2022-11-23T01:32:32.7200150Z     buf0 = empty_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7200249Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7200401Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.7200478Z     del arg0_1
2022-11-23T01:32:32.7200552Z     del arg1_1
2022-11-23T01:32:32.7200630Z     return (buf0, )
2022-11-23T01:32:32.7200635Z 
2022-11-23T01:32:32.7200639Z 
2022-11-23T01:32:32.7200722Z if __name__ == "__main__":
2022-11-23T01:32:32.7200843Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7200964Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7201164Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7201361Z     arg1_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7201484Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7201489Z 
2022-11-23T01:32:32.7201494Z 
2022-11-23T01:32:32.7201594Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7201673Z import torch
2022-11-23T01:32:32.7201748Z import random
2022-11-23T01:32:32.7201868Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7201987Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7201992Z 
2022-11-23T01:32:32.7202075Z aten = torch.ops.aten
2022-11-23T01:32:32.7202212Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7202309Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7202314Z 
2022-11-23T01:32:32.7202389Z import triton
2022-11-23T01:32:32.7202483Z import triton.language as tl
2022-11-23T01:32:32.7202610Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7202778Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7202790Z 
2022-11-23T01:32:32.7202794Z 
2022-11-23T01:32:32.7202950Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7203027Z import triton
2022-11-23T01:32:32.7203120Z import triton.language as tl
2022-11-23T01:32:32.7203258Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7203362Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7203497Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7203626Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7203631Z 
2022-11-23T01:32:32.7204010Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7204076Z @triton.jit
2022-11-23T01:32:32.7204221Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7204297Z     xnumel = 35
2022-11-23T01:32:32.7204396Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7204528Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7204612Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7204685Z     x0 = xindex
2022-11-23T01:32:32.7204800Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7204919Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7204999Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7205135Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7205221Z ''')
2022-11-23T01:32:32.7205226Z 
2022-11-23T01:32:32.7205230Z 
2022-11-23T01:32:32.7205324Z async_compile.wait(globals())
2022-11-23T01:32:32.7205402Z del async_compile
2022-11-23T01:32:32.7205408Z 
2022-11-23T01:32:32.7205484Z def call(args):
2022-11-23T01:32:32.7205557Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7205633Z     args.clear()
2022-11-23T01:32:32.7205833Z     buf0 = empty_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7205925Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7206073Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.7206150Z     del arg0_1
2022-11-23T01:32:32.7206224Z     del arg1_1
2022-11-23T01:32:32.7206294Z     return (buf0, )
2022-11-23T01:32:32.7206300Z 
2022-11-23T01:32:32.7206304Z 
2022-11-23T01:32:32.7206384Z if __name__ == "__main__":
2022-11-23T01:32:32.7206503Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7206630Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7206826Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7207022Z     arg1_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7207143Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7207148Z 
2022-11-23T01:32:32.7207520Z [2022-11-23 01:30:53,683] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wk/cwk6dpdziqkqr4yveqdmc3xajcwjauuefna4gcjrnrotx2agxs3s.py
2022-11-23T01:32:32.7207781Z [2022-11-23 01:30:53,683] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 848
2022-11-23T01:32:32.7208024Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7208337Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7208557Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7208810Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7209122Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7209442Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7209784Z [2022-11-23 01:30:53,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7210129Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7210502Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7210595Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7210695Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7210775Z               4 BINARY_ADD
2022-11-23T01:32:32.7210878Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7210977Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7211071Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7211173Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7211253Z              14 BINARY_ADD
2022-11-23T01:32:32.7211343Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7211424Z              18 RETURN_VALUE
2022-11-23T01:32:32.7211490Z  
2022-11-23T01:32:32.7211496Z 
2022-11-23T01:32:32.7211805Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7212018Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7212264Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7212545Z [2022-11-23 01:30:53,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7212789Z [2022-11-23 01:30:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7213062Z [2022-11-23 01:30:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7213366Z [2022-11-23 01:30:53,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7213607Z [2022-11-23 01:30:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7213884Z [2022-11-23 01:30:53,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7214130Z [2022-11-23 01:30:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7214382Z [2022-11-23 01:30:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7214758Z [2022-11-23 01:30:53,690] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7215006Z [2022-11-23 01:30:53,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7215245Z [2022-11-23 01:30:53,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7215505Z [2022-11-23 01:30:53,691] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7215752Z [2022-11-23 01:30:53,694] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7215950Z [2022-11-23 01:30:53,695] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7216121Z  __compiled_fn_867 <eval_with_key>.5332 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7216218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7216310Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7216490Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7216614Z call_method, view, view, (add, [35]), {}
2022-11-23T01:32:32.7216793Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7216898Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7216903Z 
2022-11-23T01:32:32.7217232Z [2022-11-23 01:30:53,695] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7217334Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7217431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7217525Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7217629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7217724Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7217811Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7217895Z              12 RETURN_VALUE
2022-11-23T01:32:32.7217900Z 
2022-11-23T01:32:32.7217966Z  
2022-11-23T01:32:32.7218291Z [2022-11-23 01:30:53,695] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7218409Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_867)
2022-11-23T01:32:32.7218507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7218604Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7218689Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7218884Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7218982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7219064Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7219162Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7219275Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7219412Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7219516Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7219606Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7219708Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7219817Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7219912Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7219995Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7220090Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7220188Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7220287Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7220383Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7220467Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7220576Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7220674Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7220779Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7220875Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7220956Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7221057Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7221139Z              54 RETURN_VALUE
2022-11-23T01:32:32.7221145Z 
2022-11-23T01:32:32.7221210Z  
2022-11-23T01:32:32.7221401Z [2022-11-23 01:30:53,696] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7221477Z  - 
2022-11-23T01:32:32.7221601Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7221670Z             {
2022-11-23T01:32:32.7221810Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7222052Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7222179Z                 'obj_weakref': None
2022-11-23T01:32:32.7222403Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7222474Z             }
2022-11-23T01:32:32.7222571Z             
2022-11-23T01:32:32.7222648Z  - 
2022-11-23T01:32:32.7222771Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7222840Z             {
2022-11-23T01:32:32.7222988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7223101Z                 'code': None,
2022-11-23T01:32:32.7223314Z                 'obj_weakref': <weakref at 0x7f1fd810e160; to 'Tensor' at 0x7f2022f30400>
2022-11-23T01:32:32.7223566Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7223636Z             }
2022-11-23T01:32:32.7223697Z             
2022-11-23T01:32:32.7223774Z  - 
2022-11-23T01:32:32.7223905Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7223977Z             {
2022-11-23T01:32:32.7224127Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7224240Z                 'code': None,
2022-11-23T01:32:32.7224457Z                 'obj_weakref': <weakref at 0x7f1fd810c540; to 'Tensor' at 0x7f1f25e74040>
2022-11-23T01:32:32.7224701Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7224771Z             }
2022-11-23T01:32:32.7224839Z             
2022-11-23T01:32:32.7224916Z  - 
2022-11-23T01:32:32.7225049Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7225119Z             {
2022-11-23T01:32:32.7225257Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7225425Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7225548Z                 'obj_weakref': None
2022-11-23T01:32:32.7225786Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7225856Z             }
2022-11-23T01:32:32.7225925Z             
2022-11-23T01:32:32.7226000Z  - 
2022-11-23T01:32:32.7226130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7226192Z             {
2022-11-23T01:32:32.7226337Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7226560Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7226684Z                 'obj_weakref': None
2022-11-23T01:32:32.7226912Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7226981Z             }
2022-11-23T01:32:32.7227050Z             
2022-11-23T01:32:32.7227119Z  - 
2022-11-23T01:32:32.7227302Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7227371Z             {
2022-11-23T01:32:32.7227544Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7227984Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:32.7228111Z                 'obj_weakref': None
2022-11-23T01:32:32.7228334Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7228403Z             }
2022-11-23T01:32:32.7228463Z             
2022-11-23T01:32:32.7228538Z  - 
2022-11-23T01:32:32.7228722Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7228790Z             {
2022-11-23T01:32:32.7228935Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7229215Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:32.7229370Z                 'obj_weakref': None
2022-11-23T01:32:32.7229581Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7229652Z             }
2022-11-23T01:32:32.7229720Z             
2022-11-23T01:32:32.7229984Z [2022-11-23 01:30:53,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 849
2022-11-23T01:32:32.7230314Z [2022-11-23 01:30:53,706] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7230710Z [2022-11-23 01:30:53,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fq/cfqxlsdqdk2mi6ev6osf5rgwcnpwi3726cbacfiisazerjpvzqus.py
2022-11-23T01:32:32.7230977Z [2022-11-23 01:30:53,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 849
2022-11-23T01:32:32.7231217Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7231523Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7231747Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7232008Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7232293Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7232620Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7232969Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7233296Z [2022-11-23 01:30:53,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7233673Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7233776Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7233879Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7233973Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7234068Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7234165Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7234247Z              10 BINARY_ADD
2022-11-23T01:32:32.7234347Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7234432Z              14 RETURN_VALUE
2022-11-23T01:32:32.7234500Z  
2022-11-23T01:32:32.7234505Z 
2022-11-23T01:32:32.7234826Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7235035Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7235286Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7235573Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7235878Z [2022-11-23 01:30:53,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7236120Z [2022-11-23 01:30:53,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7236396Z [2022-11-23 01:30:53,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7236686Z [2022-11-23 01:30:53,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7236940Z [2022-11-23 01:30:53,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7237325Z [2022-11-23 01:30:53,719] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7237592Z [2022-11-23 01:30:53,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7237834Z [2022-11-23 01:30:53,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7238095Z [2022-11-23 01:30:53,720] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7238350Z [2022-11-23 01:30:53,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7238550Z [2022-11-23 01:30:53,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7238692Z  __compiled_fn_868 <eval_with_key>.5338 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7238787Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7238881Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7238988Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T01:32:32.7239165Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7239265Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7239271Z 
2022-11-23T01:32:32.7239601Z [2022-11-23 01:30:53,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7239705Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7239805Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7239899Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7240002Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7240087Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7240184Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7240265Z              12 RETURN_VALUE
2022-11-23T01:32:32.7240270Z 
2022-11-23T01:32:32.7240340Z  
2022-11-23T01:32:32.7240663Z [2022-11-23 01:30:53,723] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7240784Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_868)
2022-11-23T01:32:32.7240884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7240983Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7241058Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7241152Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7241245Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7241325Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7241421Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7241533Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7241669Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7241766Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7241862Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7241965Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7242074Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7242169Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7242253Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7242348Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7242447Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7242546Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7242641Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7242759Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7242873Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7242971Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7243078Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7243200Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7243274Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7243382Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7243463Z              54 RETURN_VALUE
2022-11-23T01:32:32.7243468Z 
2022-11-23T01:32:32.7243536Z  
2022-11-23T01:32:32.7243724Z [2022-11-23 01:30:53,724] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7243800Z  - 
2022-11-23T01:32:32.7243925Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7243987Z             {
2022-11-23T01:32:32.7244134Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7244328Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7244455Z                 'obj_weakref': None
2022-11-23T01:32:32.7244680Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7244750Z             }
2022-11-23T01:32:32.7244822Z             
2022-11-23T01:32:32.7244891Z  - 
2022-11-23T01:32:32.7245019Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7245088Z             {
2022-11-23T01:32:32.7245236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7245349Z                 'code': None,
2022-11-23T01:32:32.7245562Z                 'obj_weakref': <weakref at 0x7f20726e6520; to 'Tensor' at 0x7f1f25e74040>
2022-11-23T01:32:32.7245813Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7245876Z             }
2022-11-23T01:32:32.7245947Z             
2022-11-23T01:32:32.7246024Z  - 
2022-11-23T01:32:32.7246155Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7246225Z             {
2022-11-23T01:32:32.7246372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7246485Z                 'code': None,
2022-11-23T01:32:32.7246690Z                 'obj_weakref': <weakref at 0x7f20726e5c60; to 'Tensor' at 0x7f1ffad8d620>
2022-11-23T01:32:32.7246944Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7247014Z             }
2022-11-23T01:32:32.7247084Z             
2022-11-23T01:32:32.7247160Z  - 
2022-11-23T01:32:32.7247296Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7247364Z             {
2022-11-23T01:32:32.7247498Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7247674Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7247799Z                 'obj_weakref': None
2022-11-23T01:32:32.7248032Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7248102Z             }
2022-11-23T01:32:32.7248170Z             
2022-11-23T01:32:32.7248247Z  - 
2022-11-23T01:32:32.7248365Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7248435Z             {
2022-11-23T01:32:32.7248578Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7248798Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7248920Z                 'obj_weakref': None
2022-11-23T01:32:32.7249143Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7249211Z             }
2022-11-23T01:32:32.7249273Z             
2022-11-23T01:32:32.7249348Z  - 
2022-11-23T01:32:32.7249532Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7249600Z             {
2022-11-23T01:32:32.7249807Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7250250Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:32.7250399Z                 'obj_weakref': None
2022-11-23T01:32:32.7250627Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7250689Z             }
2022-11-23T01:32:32.7250759Z             
2022-11-23T01:32:32.7250835Z  - 
2022-11-23T01:32:32.7251026Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7251095Z             {
2022-11-23T01:32:32.7251244Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7251531Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:32.7251649Z                 'obj_weakref': None
2022-11-23T01:32:32.7251868Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7251937Z             }
2022-11-23T01:32:32.7252005Z             
2022-11-23T01:32:32.7252274Z [2022-11-23 01:30:53,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 850
2022-11-23T01:32:32.7252528Z [2022-11-23 01:30:53,732] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7252900Z [2022-11-23 01:30:53,738] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqo3o4ms55zhz6mandxpeokwnoeesna6fahhi6xt3d5ipjj4ukj.py
2022-11-23T01:32:32.7253170Z [2022-11-23 01:30:53,738] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 850
2022-11-23T01:32:32.7253404Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7253726Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7253947Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7254208Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7254488Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7254810Z [2022-11-23 01:30:53,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7255158Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7255483Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7255859Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7255962Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7256057Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7256157Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7256250Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7256350Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7256429Z              10 BINARY_ADD
2022-11-23T01:32:32.7256524Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7256606Z              14 RETURN_VALUE
2022-11-23T01:32:32.7256665Z  
2022-11-23T01:32:32.7256678Z 
2022-11-23T01:32:32.7257014Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7257232Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7257478Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7257785Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7258091Z [2022-11-23 01:30:53,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7258331Z [2022-11-23 01:30:53,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7258608Z [2022-11-23 01:30:53,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7259065Z [2022-11-23 01:30:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7259321Z [2022-11-23 01:30:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7259690Z [2022-11-23 01:30:53,744] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7259937Z [2022-11-23 01:30:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7260173Z [2022-11-23 01:30:53,744] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7260428Z [2022-11-23 01:30:53,745] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7260683Z [2022-11-23 01:30:53,748] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7260879Z [2022-11-23 01:30:53,748] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7261022Z  __compiled_fn_869 <eval_with_key>.5344 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7261118Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7261213Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7261311Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T01:32:32.7261496Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7261598Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7261604Z 
2022-11-23T01:32:32.7261931Z [2022-11-23 01:30:53,749] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7262034Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7262138Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7262231Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7262334Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7262419Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7262514Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7262596Z              12 RETURN_VALUE
2022-11-23T01:32:32.7262604Z 
2022-11-23T01:32:32.7262671Z  
2022-11-23T01:32:32.7262993Z [2022-11-23 01:30:53,749] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7263109Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_869)
2022-11-23T01:32:32.7263205Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7263295Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7263378Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7263473Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7263566Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7263647Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7263791Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7263906Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7264039Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7264212Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7264306Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7264409Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7264524Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7264619Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7264703Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7264797Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7264890Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7264995Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7265094Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7265174Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7265284Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7265381Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7265488Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7265576Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7265657Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7265765Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7265846Z              54 RETURN_VALUE
2022-11-23T01:32:32.7265851Z 
2022-11-23T01:32:32.7265917Z  
2022-11-23T01:32:32.7266107Z [2022-11-23 01:30:53,750] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7266186Z  - 
2022-11-23T01:32:32.7266302Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7266373Z             {
2022-11-23T01:32:32.7266518Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7266710Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7266833Z                 'obj_weakref': None
2022-11-23T01:32:32.7267058Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7267129Z             }
2022-11-23T01:32:32.7267191Z             
2022-11-23T01:32:32.7267267Z  - 
2022-11-23T01:32:32.7267395Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7267465Z             {
2022-11-23T01:32:32.7267612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7267724Z                 'code': None,
2022-11-23T01:32:32.7267940Z                 'obj_weakref': <weakref at 0x7f1fe03ac900; to 'Tensor' at 0x7f1fd97e57b0>
2022-11-23T01:32:32.7268187Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7268256Z             }
2022-11-23T01:32:32.7268325Z             
2022-11-23T01:32:32.7268402Z  - 
2022-11-23T01:32:32.7268531Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7268601Z             {
2022-11-23T01:32:32.7268749Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7268853Z                 'code': None,
2022-11-23T01:32:32.7269071Z                 'obj_weakref': <weakref at 0x7f1fe03ae480; to 'Tensor' at 0x7f1ffad8eed0>
2022-11-23T01:32:32.7269330Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7269398Z             }
2022-11-23T01:32:32.7269465Z             
2022-11-23T01:32:32.7269544Z  - 
2022-11-23T01:32:32.7269681Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7269742Z             {
2022-11-23T01:32:32.7269884Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7270059Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7270184Z                 'obj_weakref': None
2022-11-23T01:32:32.7270542Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7270626Z             }
2022-11-23T01:32:32.7270707Z             
2022-11-23T01:32:32.7270791Z  - 
2022-11-23T01:32:32.7270941Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7271034Z             {
2022-11-23T01:32:32.7271177Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7271398Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7271521Z                 'obj_weakref': None
2022-11-23T01:32:32.7271747Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7271808Z             }
2022-11-23T01:32:32.7271875Z             
2022-11-23T01:32:32.7271948Z  - 
2022-11-23T01:32:32.7272130Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7272204Z             {
2022-11-23T01:32:32.7272380Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7272825Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:32.7272952Z                 'obj_weakref': None
2022-11-23T01:32:32.7273171Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7273240Z             }
2022-11-23T01:32:32.7273307Z             
2022-11-23T01:32:32.7273382Z  - 
2022-11-23T01:32:32.7273574Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7273644Z             {
2022-11-23T01:32:32.7273792Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7274075Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:32.7274198Z                 'obj_weakref': None
2022-11-23T01:32:32.7274418Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7274486Z             }
2022-11-23T01:32:32.7274557Z             
2022-11-23T01:32:32.7274818Z [2022-11-23 01:30:53,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 851
2022-11-23T01:32:32.7275066Z [2022-11-23 01:30:53,758] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7275072Z 
2022-11-23T01:32:32.7275171Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7275237Z import torch
2022-11-23T01:32:32.7275312Z import random
2022-11-23T01:32:32.7275434Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7275561Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7275566Z 
2022-11-23T01:32:32.7275649Z aten = torch.ops.aten
2022-11-23T01:32:32.7275793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7275896Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7275901Z 
2022-11-23T01:32:32.7275968Z import triton
2022-11-23T01:32:32.7276062Z import triton.language as tl
2022-11-23T01:32:32.7276190Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7276334Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7276339Z 
2022-11-23T01:32:32.7276344Z 
2022-11-23T01:32:32.7276517Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.7276591Z import triton
2022-11-23T01:32:32.7276682Z import triton.language as tl
2022-11-23T01:32:32.7276797Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7276893Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7277028Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7277155Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7277161Z 
2022-11-23T01:32:32.7277575Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7277650Z @triton.jit
2022-11-23T01:32:32.7277824Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7277897Z     xnumel = 35
2022-11-23T01:32:32.7277998Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7278124Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7278207Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7278278Z     x0 = xindex
2022-11-23T01:32:32.7278377Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7278473Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7278550Z     tmp1 = 1
2022-11-23T01:32:32.7278629Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7278700Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7278840Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7278927Z ''')
2022-11-23T01:32:32.7278932Z 
2022-11-23T01:32:32.7278936Z 
2022-11-23T01:32:32.7279028Z async_compile.wait(globals())
2022-11-23T01:32:32.7279107Z del async_compile
2022-11-23T01:32:32.7279115Z 
2022-11-23T01:32:32.7279191Z def call(args):
2022-11-23T01:32:32.7279270Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7279339Z     args.clear()
2022-11-23T01:32:32.7279539Z     buf0 = empty_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7279631Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7279785Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.7279857Z     del arg0_1
2022-11-23T01:32:32.7279928Z     del arg1_1
2022-11-23T01:32:32.7280003Z     return (buf0, )
2022-11-23T01:32:32.7280009Z 
2022-11-23T01:32:32.7280014Z 
2022-11-23T01:32:32.7280095Z if __name__ == "__main__":
2022-11-23T01:32:32.7280211Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7280341Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7280539Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7280736Z     arg1_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7280859Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7280864Z 
2022-11-23T01:32:32.7280869Z 
2022-11-23T01:32:32.7280967Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7281041Z import torch
2022-11-23T01:32:32.7281115Z import random
2022-11-23T01:32:32.7281229Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7281352Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7281357Z 
2022-11-23T01:32:32.7281440Z aten = torch.ops.aten
2022-11-23T01:32:32.7281581Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7281676Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7281683Z 
2022-11-23T01:32:32.7281757Z import triton
2022-11-23T01:32:32.7281850Z import triton.language as tl
2022-11-23T01:32:32.7281969Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7282112Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7282119Z 
2022-11-23T01:32:32.7282124Z 
2022-11-23T01:32:32.7282295Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.7282369Z import triton
2022-11-23T01:32:32.7282461Z import triton.language as tl
2022-11-23T01:32:32.7282577Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7282683Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7282817Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7282937Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7282942Z 
2022-11-23T01:32:32.7283377Z @pointwise(size_hints=[64], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7283453Z @triton.jit
2022-11-23T01:32:32.7283597Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7283694Z     xnumel = 35
2022-11-23T01:32:32.7283794Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7283926Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7284009Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7284074Z     x0 = xindex
2022-11-23T01:32:32.7284193Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7284309Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7284379Z     tmp1 = 1
2022-11-23T01:32:32.7284459Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7284538Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7284673Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7284756Z ''')
2022-11-23T01:32:32.7284762Z 
2022-11-23T01:32:32.7284766Z 
2022-11-23T01:32:32.7284859Z async_compile.wait(globals())
2022-11-23T01:32:32.7284936Z del async_compile
2022-11-23T01:32:32.7284941Z 
2022-11-23T01:32:32.7285016Z def call(args):
2022-11-23T01:32:32.7285096Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7285175Z     args.clear()
2022-11-23T01:32:32.7285370Z     buf0 = empty_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7285454Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7285608Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 35, grid=grid(35), stream=stream0)
2022-11-23T01:32:32.7285683Z     del arg0_1
2022-11-23T01:32:32.7285756Z     del arg1_1
2022-11-23T01:32:32.7285832Z     return (buf0, )
2022-11-23T01:32:32.7285837Z 
2022-11-23T01:32:32.7285841Z 
2022-11-23T01:32:32.7285921Z if __name__ == "__main__":
2022-11-23T01:32:32.7286041Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7286171Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7286361Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7286555Z     arg1_1 = rand_strided((35, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7286677Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7286685Z 
2022-11-23T01:32:32.7286690Z 
2022-11-23T01:32:32.7286789Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7286863Z import torch
2022-11-23T01:32:32.7286937Z import random
2022-11-23T01:32:32.7287056Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7287180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7287185Z 
2022-11-23T01:32:32.7287260Z aten = torch.ops.aten
2022-11-23T01:32:32.7287400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7287497Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7287502Z 
2022-11-23T01:32:32.7287580Z import triton
2022-11-23T01:32:32.7287675Z import triton.language as tl
2022-11-23T01:32:32.7287802Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7287944Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7287949Z 
2022-11-23T01:32:32.7287953Z 
2022-11-23T01:32:32.7288117Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7288185Z import triton
2022-11-23T01:32:32.7288282Z import triton.language as tl
2022-11-23T01:32:32.7288396Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7288498Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7288633Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7288759Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7288764Z 
2022-11-23T01:32:32.7289183Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7289259Z @triton.jit
2022-11-23T01:32:32.7289395Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7289476Z     xnumel = 5040
2022-11-23T01:32:32.7289576Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7289732Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7289815Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7289886Z     x0 = xindex
2022-11-23T01:32:32.7289984Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7290075Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7290154Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7290290Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7290381Z ''')
2022-11-23T01:32:32.7290386Z 
2022-11-23T01:32:32.7290391Z 
2022-11-23T01:32:32.7290485Z async_compile.wait(globals())
2022-11-23T01:32:32.7290565Z del async_compile
2022-11-23T01:32:32.7290570Z 
2022-11-23T01:32:32.7290649Z def call(args):
2022-11-23T01:32:32.7290728Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7290797Z     args.clear()
2022-11-23T01:32:32.7290993Z     buf0 = empty_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7291083Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7291240Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7291315Z     del arg0_1
2022-11-23T01:32:32.7291387Z     del arg1_1
2022-11-23T01:32:32.7291462Z     return (buf0, )
2022-11-23T01:32:32.7291467Z 
2022-11-23T01:32:32.7291472Z 
2022-11-23T01:32:32.7291545Z if __name__ == "__main__":
2022-11-23T01:32:32.7291662Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7291790Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7292024Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7292225Z     arg1_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7292345Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7292350Z 
2022-11-23T01:32:32.7292712Z [2022-11-23 01:30:53,765] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3r/c3rpe5mf3qatkokbccq22actbnhyf37uszd4eov62v4ll5hbs2g5.py
2022-11-23T01:32:32.7292978Z [2022-11-23 01:30:53,765] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 851
2022-11-23T01:32:32.7293214Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7293521Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7293738Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7293996Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7294274Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7294592Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7294942Z [2022-11-23 01:30:53,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7295267Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7295642Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7295773Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7295873Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7295945Z               4 BINARY_ADD
2022-11-23T01:32:32.7296044Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7296169Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7296262Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7296359Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7296436Z              14 BINARY_ADD
2022-11-23T01:32:32.7296531Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7296605Z              18 RETURN_VALUE
2022-11-23T01:32:32.7296672Z  
2022-11-23T01:32:32.7296677Z 
2022-11-23T01:32:32.7296996Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7297218Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7297465Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7297751Z [2022-11-23 01:30:53,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7298001Z [2022-11-23 01:30:53,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7298283Z [2022-11-23 01:30:53,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7298586Z [2022-11-23 01:30:53,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7299059Z [2022-11-23 01:30:53,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7299425Z [2022-11-23 01:30:53,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7299676Z [2022-11-23 01:30:53,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7299928Z [2022-11-23 01:30:53,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7300315Z [2022-11-23 01:30:53,772] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7300568Z [2022-11-23 01:30:53,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7300805Z [2022-11-23 01:30:53,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7301063Z [2022-11-23 01:30:53,773] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7301318Z [2022-11-23 01:30:53,776] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7301506Z [2022-11-23 01:30:53,777] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7301648Z  __compiled_fn_870 <eval_with_key>.5350 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7301744Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7301838Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7302016Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7302119Z call_method, view, view, (add, [5040]), {}
2022-11-23T01:32:32.7302304Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7302405Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7302410Z 
2022-11-23T01:32:32.7302733Z [2022-11-23 01:30:53,777] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7302834Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7303002Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7303101Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7303200Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7303293Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7303416Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7303491Z              12 RETURN_VALUE
2022-11-23T01:32:32.7303503Z 
2022-11-23T01:32:32.7303561Z  
2022-11-23T01:32:32.7303889Z [2022-11-23 01:30:53,777] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7304005Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_870)
2022-11-23T01:32:32.7304103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7304200Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7304282Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7304380Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7304467Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7304547Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7304639Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7304751Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7304892Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7304995Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7305088Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7305184Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7305293Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7305388Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7305467Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7305561Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7305662Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7305767Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7305863Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7305936Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7306046Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7306145Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7306248Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7306341Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7306421Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7306528Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7306601Z              54 RETURN_VALUE
2022-11-23T01:32:32.7306606Z 
2022-11-23T01:32:32.7306671Z  
2022-11-23T01:32:32.7306860Z [2022-11-23 01:30:53,778] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7306934Z  - 
2022-11-23T01:32:32.7307061Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7307135Z             {
2022-11-23T01:32:32.7307282Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7307467Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7307591Z                 'obj_weakref': None
2022-11-23T01:32:32.7307823Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7307893Z             }
2022-11-23T01:32:32.7307963Z             
2022-11-23T01:32:32.7308038Z  - 
2022-11-23T01:32:32.7308167Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7308229Z             {
2022-11-23T01:32:32.7308379Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7308490Z                 'code': None,
2022-11-23T01:32:32.7308707Z                 'obj_weakref': <weakref at 0x7f1f361118f0; to 'Tensor' at 0x7f1fe03ac180>
2022-11-23T01:32:32.7308996Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7309068Z             }
2022-11-23T01:32:32.7309136Z             
2022-11-23T01:32:32.7309206Z  - 
2022-11-23T01:32:32.7309334Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7309402Z             {
2022-11-23T01:32:32.7309576Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7309689Z                 'code': None,
2022-11-23T01:32:32.7309905Z                 'obj_weakref': <weakref at 0x7f1fe81373d0; to 'Tensor' at 0x7f1fe03aca40>
2022-11-23T01:32:32.7310158Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7310219Z             }
2022-11-23T01:32:32.7310395Z             
2022-11-23T01:32:32.7310484Z  - 
2022-11-23T01:32:32.7310624Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7310693Z             {
2022-11-23T01:32:32.7310833Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7311015Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7311132Z                 'obj_weakref': None
2022-11-23T01:32:32.7311366Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7311434Z             }
2022-11-23T01:32:32.7311504Z             
2022-11-23T01:32:32.7311580Z  - 
2022-11-23T01:32:32.7311706Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7311774Z             {
2022-11-23T01:32:32.7311908Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7312131Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7312255Z                 'obj_weakref': None
2022-11-23T01:32:32.7312480Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7312549Z             }
2022-11-23T01:32:32.7312616Z             
2022-11-23T01:32:32.7312692Z  - 
2022-11-23T01:32:32.7312872Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7312942Z             {
2022-11-23T01:32:32.7313115Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7313557Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:32.7313685Z                 'obj_weakref': None
2022-11-23T01:32:32.7313911Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7313980Z             }
2022-11-23T01:32:32.7314047Z             
2022-11-23T01:32:32.7314116Z  - 
2022-11-23T01:32:32.7314306Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7314375Z             {
2022-11-23T01:32:32.7314525Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7314816Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:32.7314939Z                 'obj_weakref': None
2022-11-23T01:32:32.7315163Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7315227Z             }
2022-11-23T01:32:32.7315294Z             
2022-11-23T01:32:32.7315563Z [2022-11-23 01:30:53,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 852
2022-11-23T01:32:32.7315815Z [2022-11-23 01:30:53,793] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7316182Z [2022-11-23 01:30:53,800] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nt/cntlzvgm3nj42kjxudroaxy6usdil5wklkcbg43alion24vp3a5u.py
2022-11-23T01:32:32.7316490Z [2022-11-23 01:30:53,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 852
2022-11-23T01:32:32.7316734Z [2022-11-23 01:30:53,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7317053Z [2022-11-23 01:30:53,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7317298Z [2022-11-23 01:30:53,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7317549Z [2022-11-23 01:30:53,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7317830Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7318153Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7318500Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7318823Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7319199Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7319300Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7319398Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7319477Z               4 BINARY_ADD
2022-11-23T01:32:32.7319571Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7319669Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7319761Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7319861Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7319939Z              14 BINARY_ADD
2022-11-23T01:32:32.7320035Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7320116Z              18 RETURN_VALUE
2022-11-23T01:32:32.7320175Z  
2022-11-23T01:32:32.7320188Z 
2022-11-23T01:32:32.7320502Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7320720Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7320965Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7321250Z [2022-11-23 01:30:53,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7321496Z [2022-11-23 01:30:53,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7321783Z [2022-11-23 01:30:53,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7322088Z [2022-11-23 01:30:53,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7322330Z [2022-11-23 01:30:53,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7322606Z [2022-11-23 01:30:53,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7322844Z [2022-11-23 01:30:53,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7323092Z [2022-11-23 01:30:53,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7323496Z [2022-11-23 01:30:53,807] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7323747Z [2022-11-23 01:30:53,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7323984Z [2022-11-23 01:30:53,807] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7324266Z [2022-11-23 01:30:53,809] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7324523Z [2022-11-23 01:30:53,812] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7324723Z [2022-11-23 01:30:53,812] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7324868Z  __compiled_fn_871 <eval_with_key>.5356 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7324956Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7325047Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7325225Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7325334Z call_method, view, view, (add, [5040]), {}
2022-11-23T01:32:32.7325522Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7325622Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7325628Z 
2022-11-23T01:32:32.7325962Z [2022-11-23 01:30:53,812] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7326064Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7326155Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7326247Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7326346Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7326438Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7326532Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7326614Z              12 RETURN_VALUE
2022-11-23T01:32:32.7326619Z 
2022-11-23T01:32:32.7326686Z  
2022-11-23T01:32:32.7327011Z [2022-11-23 01:30:53,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7327121Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_871)
2022-11-23T01:32:32.7327220Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7327318Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7327399Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7327495Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7335034Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7335141Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7335231Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7335348Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7335491Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7335602Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7335697Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7335801Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7335911Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7336003Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7336089Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7336185Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7336286Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7336395Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7336490Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7336573Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7336676Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7336777Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7336948Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7337045Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7337128Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7337238Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7337320Z              54 RETURN_VALUE
2022-11-23T01:32:32.7337351Z 
2022-11-23T01:32:32.7337418Z  
2022-11-23T01:32:32.7337625Z [2022-11-23 01:30:53,814] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7337701Z  - 
2022-11-23T01:32:32.7337826Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7337898Z             {
2022-11-23T01:32:32.7338044Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7338235Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7338359Z                 'obj_weakref': None
2022-11-23T01:32:32.7338578Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7338649Z             }
2022-11-23T01:32:32.7338722Z             
2022-11-23T01:32:32.7339018Z  - 
2022-11-23T01:32:32.7339155Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7339225Z             {
2022-11-23T01:32:32.7339374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7339482Z                 'code': None,
2022-11-23T01:32:32.7339697Z                 'obj_weakref': <weakref at 0x7f20233c8040; to 'Tensor' at 0x7f1ffad2c900>
2022-11-23T01:32:32.7339950Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7340025Z             }
2022-11-23T01:32:32.7340094Z             
2022-11-23T01:32:32.7340171Z  - 
2022-11-23T01:32:32.7340301Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7340364Z             {
2022-11-23T01:32:32.7340512Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7340624Z                 'code': None,
2022-11-23T01:32:32.7340840Z                 'obj_weakref': <weakref at 0x7f1fd81a24d0; to 'Tensor' at 0x7f1fe03adfd0>
2022-11-23T01:32:32.7341091Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7341160Z             }
2022-11-23T01:32:32.7341228Z             
2022-11-23T01:32:32.7341303Z  - 
2022-11-23T01:32:32.7341439Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7341512Z             {
2022-11-23T01:32:32.7341652Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7341827Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7341950Z                 'obj_weakref': None
2022-11-23T01:32:32.7342181Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7342243Z             }
2022-11-23T01:32:32.7342312Z             
2022-11-23T01:32:32.7342388Z  - 
2022-11-23T01:32:32.7342517Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7342586Z             {
2022-11-23T01:32:32.7342729Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7342945Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7343061Z                 'obj_weakref': None
2022-11-23T01:32:32.7343288Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7343359Z             }
2022-11-23T01:32:32.7343427Z             
2022-11-23T01:32:32.7343503Z  - 
2022-11-23T01:32:32.7343685Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7343755Z             {
2022-11-23T01:32:32.7343921Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7344349Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:32.7344533Z                 'obj_weakref': None
2022-11-23T01:32:32.7344759Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7344829Z             }
2022-11-23T01:32:32.7344898Z             
2022-11-23T01:32:32.7345003Z  - 
2022-11-23T01:32:32.7345185Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7345255Z             {
2022-11-23T01:32:32.7345403Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7345686Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:32.7345809Z                 'obj_weakref': None
2022-11-23T01:32:32.7346030Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7346101Z             }
2022-11-23T01:32:32.7346170Z             
2022-11-23T01:32:32.7346428Z [2022-11-23 01:30:53,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 853
2022-11-23T01:32:32.7346682Z [2022-11-23 01:30:53,825] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7347045Z [2022-11-23 01:30:53,831] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zv/czvxnfj5t445fzegk2zy3il2ier7fbc66gcm77z24ghc56o2st57.py
2022-11-23T01:32:32.7347317Z [2022-11-23 01:30:53,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 853
2022-11-23T01:32:32.7347561Z [2022-11-23 01:30:53,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7347880Z [2022-11-23 01:30:53,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7348102Z [2022-11-23 01:30:53,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7348362Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7348639Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7348954Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7349295Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7349616Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7349989Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7350089Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7350192Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7350364Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7350474Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7350572Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7350644Z              10 BINARY_ADD
2022-11-23T01:32:32.7350742Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7350825Z              14 RETURN_VALUE
2022-11-23T01:32:32.7350893Z  
2022-11-23T01:32:32.7350898Z 
2022-11-23T01:32:32.7351212Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7351428Z [2022-11-23 01:30:53,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7351708Z [2022-11-23 01:30:53,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7351995Z [2022-11-23 01:30:53,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7352298Z [2022-11-23 01:30:53,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7352556Z [2022-11-23 01:30:53,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7352831Z [2022-11-23 01:30:53,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7353075Z [2022-11-23 01:30:53,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7353326Z [2022-11-23 01:30:53,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7353708Z [2022-11-23 01:30:53,838] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7353954Z [2022-11-23 01:30:53,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7354191Z [2022-11-23 01:30:53,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7354447Z [2022-11-23 01:30:53,839] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7354700Z [2022-11-23 01:30:53,842] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7354887Z [2022-11-23 01:30:53,842] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7355030Z  __compiled_fn_872 <eval_with_key>.5362 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7355125Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7355222Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7355331Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T01:32:32.7355511Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7355611Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7355620Z 
2022-11-23T01:32:32.7355944Z [2022-11-23 01:30:53,842] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7356037Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7356140Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7356234Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7356335Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7356427Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7356522Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7356605Z              12 RETURN_VALUE
2022-11-23T01:32:32.7356610Z 
2022-11-23T01:32:32.7356679Z  
2022-11-23T01:32:32.7356988Z [2022-11-23 01:30:53,842] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7357106Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_872)
2022-11-23T01:32:32.7357207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7357306Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7357390Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7357485Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7357582Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7357656Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7357750Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7357865Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7358004Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7358143Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7358238Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7358342Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7358446Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7358565Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7358648Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7358743Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7358843Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7358952Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7359049Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7359130Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7359233Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7359332Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7359440Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7359535Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7359617Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7359726Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7359810Z              54 RETURN_VALUE
2022-11-23T01:32:32.7359815Z 
2022-11-23T01:32:32.7359875Z  
2022-11-23T01:32:32.7360064Z [2022-11-23 01:30:53,844] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7360140Z  - 
2022-11-23T01:32:32.7360265Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7360335Z             {
2022-11-23T01:32:32.7360483Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7360672Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7360790Z                 'obj_weakref': None
2022-11-23T01:32:32.7361017Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7361094Z             }
2022-11-23T01:32:32.7361163Z             
2022-11-23T01:32:32.7361240Z  - 
2022-11-23T01:32:32.7361373Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7361443Z             {
2022-11-23T01:32:32.7361585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7361702Z                 'code': None,
2022-11-23T01:32:32.7361916Z                 'obj_weakref': <weakref at 0x7f2000fe7ba0; to 'Tensor' at 0x7f1ffad2c900>
2022-11-23T01:32:32.7362170Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7362240Z             }
2022-11-23T01:32:32.7362312Z             
2022-11-23T01:32:32.7362389Z  - 
2022-11-23T01:32:32.7362510Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7362580Z             {
2022-11-23T01:32:32.7362733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7362846Z                 'code': None,
2022-11-23T01:32:32.7363064Z                 'obj_weakref': <weakref at 0x7f20727f8ea0; to 'Tensor' at 0x7f201e3c2f20>
2022-11-23T01:32:32.7363313Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7363383Z             }
2022-11-23T01:32:32.7363447Z             
2022-11-23T01:32:32.7363524Z  - 
2022-11-23T01:32:32.7363663Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7363732Z             {
2022-11-23T01:32:32.7363873Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7364048Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7364174Z                 'obj_weakref': None
2022-11-23T01:32:32.7364398Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7364468Z             }
2022-11-23T01:32:32.7364536Z             
2022-11-23T01:32:32.7364613Z  - 
2022-11-23T01:32:32.7364739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7364848Z             {
2022-11-23T01:32:32.7364992Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7365204Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7365328Z                 'obj_weakref': None
2022-11-23T01:32:32.7365581Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7365650Z             }
2022-11-23T01:32:32.7365718Z             
2022-11-23T01:32:32.7365794Z  - 
2022-11-23T01:32:32.7365976Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7366038Z             {
2022-11-23T01:32:32.7366214Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7366915Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:32.7367043Z                 'obj_weakref': None
2022-11-23T01:32:32.7367266Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7367335Z             }
2022-11-23T01:32:32.7367403Z             
2022-11-23T01:32:32.7367479Z  - 
2022-11-23T01:32:32.7367660Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7367730Z             {
2022-11-23T01:32:32.7367879Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7368159Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:32.7368286Z                 'obj_weakref': None
2022-11-23T01:32:32.7368507Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7368577Z             }
2022-11-23T01:32:32.7368646Z             
2022-11-23T01:32:32.7368715Z  - 
2022-11-23T01:32:32.7368906Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7368975Z             {
2022-11-23T01:32:32.7369123Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7369403Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7369528Z                 'obj_weakref': None
2022-11-23T01:32:32.7369751Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7369812Z             }
2022-11-23T01:32:32.7369881Z             
2022-11-23T01:32:32.7369959Z  - 
2022-11-23T01:32:32.7370150Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7370219Z             {
2022-11-23T01:32:32.7370367Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7370645Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:32.7370763Z                 'obj_weakref': None
2022-11-23T01:32:32.7370980Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7371050Z             }
2022-11-23T01:32:32.7371119Z             
2022-11-23T01:32:32.7371196Z  - 
2022-11-23T01:32:32.7371383Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7371450Z             {
2022-11-23T01:32:32.7371589Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7371901Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:32.7372025Z                 'obj_weakref': None
2022-11-23T01:32:32.7372244Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7372313Z             }
2022-11-23T01:32:32.7372402Z             
2022-11-23T01:32:32.7372667Z [2022-11-23 01:30:53,848] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 854
2022-11-23T01:32:32.7372920Z [2022-11-23 01:30:53,856] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7372926Z 
2022-11-23T01:32:32.7373019Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7373094Z import torch
2022-11-23T01:32:32.7373169Z import random
2022-11-23T01:32:32.7373295Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7373424Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7373429Z 
2022-11-23T01:32:32.7373514Z aten = torch.ops.aten
2022-11-23T01:32:32.7373660Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7373762Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7373767Z 
2022-11-23T01:32:32.7373835Z import triton
2022-11-23T01:32:32.7373930Z import triton.language as tl
2022-11-23T01:32:32.7374062Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7374206Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7374212Z 
2022-11-23T01:32:32.7374217Z 
2022-11-23T01:32:32.7374383Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7374459Z import triton
2022-11-23T01:32:32.7374552Z import triton.language as tl
2022-11-23T01:32:32.7374662Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7374766Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7374904Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7375034Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7375040Z 
2022-11-23T01:32:32.7375436Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7375511Z @triton.jit
2022-11-23T01:32:32.7375661Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7375737Z     xnumel = 5040
2022-11-23T01:32:32.7375830Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7375963Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7376047Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7376121Z     x0 = xindex
2022-11-23T01:32:32.7376245Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7376365Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7376446Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7376589Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7376670Z ''')
2022-11-23T01:32:32.7376675Z 
2022-11-23T01:32:32.7376680Z 
2022-11-23T01:32:32.7376774Z async_compile.wait(globals())
2022-11-23T01:32:32.7376855Z del async_compile
2022-11-23T01:32:32.7376860Z 
2022-11-23T01:32:32.7376936Z def call(args):
2022-11-23T01:32:32.7377021Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7377098Z     args.clear()
2022-11-23T01:32:32.7377299Z     buf0 = empty_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7377385Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7377539Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7377614Z     del arg0_1
2022-11-23T01:32:32.7377688Z     del arg1_1
2022-11-23T01:32:32.7377768Z     return (buf0, )
2022-11-23T01:32:32.7377773Z 
2022-11-23T01:32:32.7377777Z 
2022-11-23T01:32:32.7377858Z if __name__ == "__main__":
2022-11-23T01:32:32.7377984Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7378182Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7378413Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7378615Z     arg1_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7378766Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7378771Z 
2022-11-23T01:32:32.7378888Z 
2022-11-23T01:32:32.7378992Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7379069Z import torch
2022-11-23T01:32:32.7379146Z import random
2022-11-23T01:32:32.7379269Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7379397Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7379402Z 
2022-11-23T01:32:32.7379478Z aten = torch.ops.aten
2022-11-23T01:32:32.7379620Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7379720Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7379727Z 
2022-11-23T01:32:32.7379803Z import triton
2022-11-23T01:32:32.7379896Z import triton.language as tl
2022-11-23T01:32:32.7380026Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7380170Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7380179Z 
2022-11-23T01:32:32.7380183Z 
2022-11-23T01:32:32.7380358Z triton_fused_add_1_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7380427Z import triton
2022-11-23T01:32:32.7380522Z import triton.language as tl
2022-11-23T01:32:32.7380639Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7380745Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7380884Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7381012Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7381017Z 
2022-11-23T01:32:32.7381410Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7381488Z @triton.jit
2022-11-23T01:32:32.7381628Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7381706Z     xnumel = 5040
2022-11-23T01:32:32.7381807Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7381940Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7382029Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7382101Z     x0 = xindex
2022-11-23T01:32:32.7382202Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7382294Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7382367Z     tmp1 = 1
2022-11-23T01:32:32.7382448Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7382527Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7382669Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7382757Z ''')
2022-11-23T01:32:32.7382762Z 
2022-11-23T01:32:32.7382768Z 
2022-11-23T01:32:32.7382863Z async_compile.wait(globals())
2022-11-23T01:32:32.7382934Z del async_compile
2022-11-23T01:32:32.7382939Z 
2022-11-23T01:32:32.7383016Z def call(args):
2022-11-23T01:32:32.7383098Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7383178Z     args.clear()
2022-11-23T01:32:32.7383381Z     buf0 = empty_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7383474Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7383639Z     triton_fused_add_1_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7383706Z     del arg0_1
2022-11-23T01:32:32.7383780Z     del arg1_1
2022-11-23T01:32:32.7383857Z     return (buf0, )
2022-11-23T01:32:32.7383863Z 
2022-11-23T01:32:32.7383867Z 
2022-11-23T01:32:32.7383949Z if __name__ == "__main__":
2022-11-23T01:32:32.7384068Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7384198Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7384501Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7384707Z     arg1_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7384821Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7384860Z 
2022-11-23T01:32:32.7384865Z 
2022-11-23T01:32:32.7384958Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7385033Z import torch
2022-11-23T01:32:32.7385109Z import random
2022-11-23T01:32:32.7385230Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7385359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7385364Z 
2022-11-23T01:32:32.7385447Z aten = torch.ops.aten
2022-11-23T01:32:32.7385588Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7385678Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7385683Z 
2022-11-23T01:32:32.7385761Z import triton
2022-11-23T01:32:32.7385860Z import triton.language as tl
2022-11-23T01:32:32.7385988Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7386129Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7386134Z 
2022-11-23T01:32:32.7386139Z 
2022-11-23T01:32:32.7386315Z triton_fused_add_1_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7386391Z import triton
2022-11-23T01:32:32.7386484Z import triton.language as tl
2022-11-23T01:32:32.7386593Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7386698Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7386836Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7386963Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7386968Z 
2022-11-23T01:32:32.7387360Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7387435Z @triton.jit
2022-11-23T01:32:32.7387585Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7387662Z     xnumel = 5040
2022-11-23T01:32:32.7387754Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7387889Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7387974Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7388047Z     x0 = xindex
2022-11-23T01:32:32.7388170Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7388290Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7388361Z     tmp1 = 1
2022-11-23T01:32:32.7388434Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7388514Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7388651Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7388738Z ''')
2022-11-23T01:32:32.7388743Z 
2022-11-23T01:32:32.7388748Z 
2022-11-23T01:32:32.7388844Z async_compile.wait(globals())
2022-11-23T01:32:32.7388923Z del async_compile
2022-11-23T01:32:32.7388928Z 
2022-11-23T01:32:32.7389006Z def call(args):
2022-11-23T01:32:32.7389079Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7389156Z     args.clear()
2022-11-23T01:32:32.7389360Z     buf0 = empty_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7389452Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7389611Z     triton_fused_add_1_add_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7389685Z     del arg0_1
2022-11-23T01:32:32.7389758Z     del arg1_1
2022-11-23T01:32:32.7389827Z     return (buf0, )
2022-11-23T01:32:32.7389841Z 
2022-11-23T01:32:32.7389845Z 
2022-11-23T01:32:32.7389920Z if __name__ == "__main__":
2022-11-23T01:32:32.7390039Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7390166Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7390543Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7390763Z     arg1_1 = rand_strided((5040, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7390887Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7390931Z 
2022-11-23T01:32:32.7391297Z [2022-11-23 01:30:53,860] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbo25o5xxiwgzt3wteod5cof7xv3oy3rslvpyamz6pqcl4iaqkv.py
2022-11-23T01:32:32.7391569Z [2022-11-23 01:30:53,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 854
2022-11-23T01:32:32.7391810Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7392116Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7392342Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7392599Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7392881Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7393202Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7393546Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7393872Z [2022-11-23 01:30:53,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7394253Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7394354Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7394456Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7394552Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7394647Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7394746Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7394827Z              10 BINARY_ADD
2022-11-23T01:32:32.7394925Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7395006Z              14 RETURN_VALUE
2022-11-23T01:32:32.7395073Z  
2022-11-23T01:32:32.7395079Z 
2022-11-23T01:32:32.7395385Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7395603Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7395854Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7396145Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7396456Z [2022-11-23 01:30:53,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7396697Z [2022-11-23 01:30:53,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7396973Z [2022-11-23 01:30:53,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7397220Z [2022-11-23 01:30:53,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7397500Z [2022-11-23 01:30:53,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7397878Z [2022-11-23 01:30:53,866] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7398129Z [2022-11-23 01:30:53,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7398393Z [2022-11-23 01:30:53,866] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7398652Z [2022-11-23 01:30:53,867] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7398907Z [2022-11-23 01:30:53,870] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7399104Z [2022-11-23 01:30:53,870] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7399247Z  __compiled_fn_873 <eval_with_key>.5368 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7399344Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7399438Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7399539Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T01:32:32.7399722Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7399825Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7399831Z 
2022-11-23T01:32:32.7400159Z [2022-11-23 01:30:53,871] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7400260Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7400358Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7400452Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7400553Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7400638Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7400734Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7400818Z              12 RETURN_VALUE
2022-11-23T01:32:32.7400823Z 
2022-11-23T01:32:32.7400889Z  
2022-11-23T01:32:32.7401214Z [2022-11-23 01:30:53,871] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7401334Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_873)
2022-11-23T01:32:32.7401431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7401521Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7401603Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7401698Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7401793Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7401872Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7401970Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7402082Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7402222Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7402319Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7402412Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7402514Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7402625Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7402721Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7402802Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7402898Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7402989Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7403096Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7403191Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7403273Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7403383Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7403511Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7403618Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7403705Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7403788Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7403897Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7404000Z              54 RETURN_VALUE
2022-11-23T01:32:32.7404007Z 
2022-11-23T01:32:32.7404072Z  
2022-11-23T01:32:32.7404263Z [2022-11-23 01:30:53,872] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7404342Z  - 
2022-11-23T01:32:32.7404460Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7404530Z             {
2022-11-23T01:32:32.7404677Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7404870Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7404996Z                 'obj_weakref': None
2022-11-23T01:32:32.7405226Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7405296Z             }
2022-11-23T01:32:32.7405357Z             
2022-11-23T01:32:32.7405433Z  - 
2022-11-23T01:32:32.7405564Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7405633Z             {
2022-11-23T01:32:32.7405784Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7405897Z                 'code': None,
2022-11-23T01:32:32.7406111Z                 'obj_weakref': <weakref at 0x7f1f25f10b80; to 'Tensor' at 0x7f2151f02f20>
2022-11-23T01:32:32.7406364Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7406426Z             }
2022-11-23T01:32:32.7406495Z             
2022-11-23T01:32:32.7406571Z  - 
2022-11-23T01:32:32.7406698Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7406767Z             {
2022-11-23T01:32:32.7406916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7407024Z                 'code': None,
2022-11-23T01:32:32.7407236Z                 'obj_weakref': <weakref at 0x7f1f25f10220; to 'Tensor' at 0x7f1ffad40630>
2022-11-23T01:32:32.7407491Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7407563Z             }
2022-11-23T01:32:32.7407635Z             
2022-11-23T01:32:32.7407710Z  - 
2022-11-23T01:32:32.7407845Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7407906Z             {
2022-11-23T01:32:32.7408050Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7408225Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7408349Z                 'obj_weakref': None
2022-11-23T01:32:32.7408582Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7408652Z             }
2022-11-23T01:32:32.7408720Z             
2022-11-23T01:32:32.7408788Z  - 
2022-11-23T01:32:32.7408917Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7408987Z             {
2022-11-23T01:32:32.7409130Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7409349Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7409477Z                 'obj_weakref': None
2022-11-23T01:32:32.7409702Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7409770Z             }
2022-11-23T01:32:32.7409832Z             
2022-11-23T01:32:32.7409911Z  - 
2022-11-23T01:32:32.7410094Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7410164Z             {
2022-11-23T01:32:32.7410339Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7411087Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:32.7411231Z                 'obj_weakref': None
2022-11-23T01:32:32.7411452Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7411513Z             }
2022-11-23T01:32:32.7411582Z             
2022-11-23T01:32:32.7411658Z  - 
2022-11-23T01:32:32.7411848Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7411917Z             {
2022-11-23T01:32:32.7412066Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7412351Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:32.7412467Z                 'obj_weakref': None
2022-11-23T01:32:32.7412690Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7412759Z             }
2022-11-23T01:32:32.7412830Z             
2022-11-23T01:32:32.7412905Z  - 
2022-11-23T01:32:32.7413093Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7413163Z             {
2022-11-23T01:32:32.7413303Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7413583Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7413706Z                 'obj_weakref': None
2022-11-23T01:32:32.7413926Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7413996Z             }
2022-11-23T01:32:32.7414064Z             
2022-11-23T01:32:32.7414144Z  - 
2022-11-23T01:32:32.7414325Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7414395Z             {
2022-11-23T01:32:32.7414542Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7414823Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:32.7414949Z                 'obj_weakref': None
2022-11-23T01:32:32.7415170Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7415238Z             }
2022-11-23T01:32:32.7415305Z             
2022-11-23T01:32:32.7415373Z  - 
2022-11-23T01:32:32.7415561Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7415629Z             {
2022-11-23T01:32:32.7415776Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7416060Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:32.7416183Z                 'obj_weakref': None
2022-11-23T01:32:32.7416401Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7416465Z             }
2022-11-23T01:32:32.7416534Z             
2022-11-23T01:32:32.7416802Z [2022-11-23 01:30:53,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 855
2022-11-23T01:32:32.7417055Z [2022-11-23 01:30:53,881] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7417422Z [2022-11-23 01:30:53,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ra/craqtfcrsh34muqxg2vw7opw6zwdjevv7xrcsufcvjxchq35ertt.py
2022-11-23T01:32:32.7417696Z [2022-11-23 01:30:53,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 855
2022-11-23T01:32:32.7417970Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7418290Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7418535Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7419243Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7419541Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7419863Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7420211Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7420539Z [2022-11-23 01:30:53,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7420918Z [2022-11-23 01:30:53,891] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7421023Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7421123Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7421203Z               4 BINARY_ADD
2022-11-23T01:32:32.7421297Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7421397Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7421490Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7421587Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7421669Z              14 BINARY_ADD
2022-11-23T01:32:32.7421769Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7421851Z              18 RETURN_VALUE
2022-11-23T01:32:32.7421910Z  
2022-11-23T01:32:32.7421923Z 
2022-11-23T01:32:32.7422235Z [2022-11-23 01:30:53,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7422456Z [2022-11-23 01:30:53,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7422701Z [2022-11-23 01:30:53,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7422987Z [2022-11-23 01:30:53,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7423233Z [2022-11-23 01:30:53,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7423518Z [2022-11-23 01:30:53,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7423823Z [2022-11-23 01:30:53,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7424065Z [2022-11-23 01:30:53,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7424342Z [2022-11-23 01:30:53,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7424581Z [2022-11-23 01:30:53,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7424831Z [2022-11-23 01:30:53,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7425207Z [2022-11-23 01:30:53,894] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7425512Z [2022-11-23 01:30:53,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7425752Z [2022-11-23 01:30:53,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7426011Z [2022-11-23 01:30:53,896] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7426302Z [2022-11-23 01:30:53,899] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7426497Z [2022-11-23 01:30:53,899] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7426643Z  __compiled_fn_874 <eval_with_key>.5374 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7426730Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7426827Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7427007Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7427116Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T01:32:32.7427306Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7427408Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7427413Z 
2022-11-23T01:32:32.7427743Z [2022-11-23 01:30:53,900] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7427850Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7427940Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7428036Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7428136Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7428230Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7428327Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7428408Z              12 RETURN_VALUE
2022-11-23T01:32:32.7428413Z 
2022-11-23T01:32:32.7428479Z  
2022-11-23T01:32:32.7428804Z [2022-11-23 01:30:53,900] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7428912Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_874)
2022-11-23T01:32:32.7429010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7429109Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7429191Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7429286Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7429379Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7429460Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7429546Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7429658Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7429795Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7429898Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7429993Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7430096Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7430205Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7430358Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7430457Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7430565Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7430678Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7430796Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7430912Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7431001Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7431103Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7431199Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7431304Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7431445Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7431528Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7431637Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7431719Z              54 RETURN_VALUE
2022-11-23T01:32:32.7431724Z 
2022-11-23T01:32:32.7431816Z  
2022-11-23T01:32:32.7432001Z [2022-11-23 01:30:53,901] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7432077Z  - 
2022-11-23T01:32:32.7432202Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7432270Z             {
2022-11-23T01:32:32.7432417Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7432604Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7432729Z                 'obj_weakref': None
2022-11-23T01:32:32.7432945Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7433015Z             }
2022-11-23T01:32:32.7433083Z             
2022-11-23T01:32:32.7433158Z  - 
2022-11-23T01:32:32.7433292Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7433358Z             {
2022-11-23T01:32:32.7433508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7433613Z                 'code': None,
2022-11-23T01:32:32.7433828Z                 'obj_weakref': <weakref at 0x7f20233b02c0; to 'Tensor' at 0x7f1ffad40630>
2022-11-23T01:32:32.7434083Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7434153Z             }
2022-11-23T01:32:32.7434223Z             
2022-11-23T01:32:32.7434299Z  - 
2022-11-23T01:32:32.7434426Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7434487Z             {
2022-11-23T01:32:32.7434637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7434750Z                 'code': None,
2022-11-23T01:32:32.7434965Z                 'obj_weakref': <weakref at 0x7f1fd810c130; to 'Tensor' at 0x7f1fe81b4bd0>
2022-11-23T01:32:32.7435220Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7435289Z             }
2022-11-23T01:32:32.7435356Z             
2022-11-23T01:32:32.7435424Z  - 
2022-11-23T01:32:32.7435560Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7435630Z             {
2022-11-23T01:32:32.7435770Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7435946Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7436070Z                 'obj_weakref': None
2022-11-23T01:32:32.7436304Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7436365Z             }
2022-11-23T01:32:32.7436433Z             
2022-11-23T01:32:32.7436510Z  - 
2022-11-23T01:32:32.7436636Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7436704Z             {
2022-11-23T01:32:32.7436846Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7437070Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7437185Z                 'obj_weakref': None
2022-11-23T01:32:32.7437411Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7437482Z             }
2022-11-23T01:32:32.7437550Z             
2022-11-23T01:32:32.7437625Z  - 
2022-11-23T01:32:32.7437809Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7437878Z             {
2022-11-23T01:32:32.7438044Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7438798Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:32.7438926Z                 'obj_weakref': None
2022-11-23T01:32:32.7439151Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7439244Z             }
2022-11-23T01:32:32.7439312Z             
2022-11-23T01:32:32.7439389Z  - 
2022-11-23T01:32:32.7439581Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7439642Z             {
2022-11-23T01:32:32.7439792Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7440074Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:32.7440198Z                 'obj_weakref': None
2022-11-23T01:32:32.7440422Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7440490Z             }
2022-11-23T01:32:32.7440558Z             
2022-11-23T01:32:32.7440633Z  - 
2022-11-23T01:32:32.7440816Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7440886Z             {
2022-11-23T01:32:32.7441035Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7441317Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7441440Z                 'obj_weakref': None
2022-11-23T01:32:32.7441662Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7441733Z             }
2022-11-23T01:32:32.7441793Z             
2022-11-23T01:32:32.7441867Z  - 
2022-11-23T01:32:32.7442055Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7442124Z             {
2022-11-23T01:32:32.7442274Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7442558Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:32.7442681Z                 'obj_weakref': None
2022-11-23T01:32:32.7442895Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7442965Z             }
2022-11-23T01:32:32.7443033Z             
2022-11-23T01:32:32.7443108Z  - 
2022-11-23T01:32:32.7443297Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7443366Z             {
2022-11-23T01:32:32.7443513Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7443788Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:32.7443912Z                 'obj_weakref': None
2022-11-23T01:32:32.7444134Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7444202Z             }
2022-11-23T01:32:32.7444270Z             
2022-11-23T01:32:32.7444535Z [2022-11-23 01:30:53,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 856
2022-11-23T01:32:32.7444792Z [2022-11-23 01:30:53,918] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7445158Z [2022-11-23 01:30:53,923] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pd/cpdjx6kc6smo35oewj36ttnk6lrgohcoldxxaxdaajwhsjv7vnh3.py
2022-11-23T01:32:32.7445430Z [2022-11-23 01:30:53,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 856
2022-11-23T01:32:32.7445665Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7446019Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7446243Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7446503Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7446813Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7447136Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7447485Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7447810Z [2022-11-23 01:30:53,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7448186Z [2022-11-23 01:30:53,927] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7448287Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7448378Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7448457Z               4 BINARY_ADD
2022-11-23T01:32:32.7448556Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7448655Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7448747Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7448844Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7448922Z              14 BINARY_ADD
2022-11-23T01:32:32.7449009Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7449091Z              18 RETURN_VALUE
2022-11-23T01:32:32.7449158Z  
2022-11-23T01:32:32.7449166Z 
2022-11-23T01:32:32.7449485Z [2022-11-23 01:30:53,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7449701Z [2022-11-23 01:30:53,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7449950Z [2022-11-23 01:30:53,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7450233Z [2022-11-23 01:30:53,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7450479Z [2022-11-23 01:30:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7450752Z [2022-11-23 01:30:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7451058Z [2022-11-23 01:30:53,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7451302Z [2022-11-23 01:30:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7451576Z [2022-11-23 01:30:53,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7451824Z [2022-11-23 01:30:53,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7452074Z [2022-11-23 01:30:53,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7452453Z [2022-11-23 01:30:53,930] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7452704Z [2022-11-23 01:30:53,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7452973Z [2022-11-23 01:30:53,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7453237Z [2022-11-23 01:30:53,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7453484Z [2022-11-23 01:30:53,935] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7453702Z [2022-11-23 01:30:53,935] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7453845Z  __compiled_fn_875 <eval_with_key>.5380 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7453940Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7454037Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7454214Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7454322Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T01:32:32.7454511Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7454605Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7454613Z 
2022-11-23T01:32:32.7454948Z [2022-11-23 01:30:53,935] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7455049Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7455149Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7455242Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7455342Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7455434Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7455533Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7455608Z              12 RETURN_VALUE
2022-11-23T01:32:32.7455613Z 
2022-11-23T01:32:32.7455679Z  
2022-11-23T01:32:32.7456001Z [2022-11-23 01:30:53,936] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7456125Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_875)
2022-11-23T01:32:32.7456223Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7456320Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7456401Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7456488Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7456586Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7456668Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7456763Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7456873Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7457009Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7457113Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7457207Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7457302Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7457411Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7457507Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7457590Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7457684Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7457784Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7457892Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7457979Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7458059Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7458169Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7458267Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7458370Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7458466Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7458548Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7458649Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7458758Z              54 RETURN_VALUE
2022-11-23T01:32:32.7458764Z 
2022-11-23T01:32:32.7458952Z  
2022-11-23T01:32:32.7459146Z [2022-11-23 01:30:53,937] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7459224Z  - 
2022-11-23T01:32:32.7459348Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7459466Z             {
2022-11-23T01:32:32.7459606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7459798Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7459923Z                 'obj_weakref': None
2022-11-23T01:32:32.7460147Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7460217Z             }
2022-11-23T01:32:32.7460286Z             
2022-11-23T01:32:32.7460363Z  - 
2022-11-23T01:32:32.7460485Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7460553Z             {
2022-11-23T01:32:32.7460703Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7460816Z                 'code': None,
2022-11-23T01:32:32.7461031Z                 'obj_weakref': <weakref at 0x7f1ffad8eed0; to 'Tensor' at 0x7f2068241a30>
2022-11-23T01:32:32.7461279Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7461352Z             }
2022-11-23T01:32:32.7461413Z             
2022-11-23T01:32:32.7461490Z  - 
2022-11-23T01:32:32.7461620Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7461688Z             {
2022-11-23T01:32:32.7461838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7461951Z                 'code': None,
2022-11-23T01:32:32.7462190Z                 'obj_weakref': <weakref at 0x7f1fd81a13a0; to 'Tensor' at 0x7f1ff8144040>
2022-11-23T01:32:32.7462458Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7462527Z             }
2022-11-23T01:32:32.7462599Z             
2022-11-23T01:32:32.7462675Z  - 
2022-11-23T01:32:32.7462811Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7462881Z             {
2022-11-23T01:32:32.7463022Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7463186Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7463312Z                 'obj_weakref': None
2022-11-23T01:32:32.7463538Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7463609Z             }
2022-11-23T01:32:32.7463678Z             
2022-11-23T01:32:32.7463755Z  - 
2022-11-23T01:32:32.7463882Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7463944Z             {
2022-11-23T01:32:32.7464084Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7464298Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7464426Z                 'obj_weakref': None
2022-11-23T01:32:32.7464651Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7464720Z             }
2022-11-23T01:32:32.7464789Z             
2022-11-23T01:32:32.7464858Z  - 
2022-11-23T01:32:32.7465047Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7465116Z             {
2022-11-23T01:32:32.7465290Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7465992Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:32.7466160Z                 'obj_weakref': None
2022-11-23T01:32:32.7466379Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7466448Z             }
2022-11-23T01:32:32.7466516Z             
2022-11-23T01:32:32.7466607Z  - 
2022-11-23T01:32:32.7466796Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7466865Z             {
2022-11-23T01:32:32.7467012Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7467290Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:32.7467414Z                 'obj_weakref': None
2022-11-23T01:32:32.7467632Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7467694Z             }
2022-11-23T01:32:32.7467763Z             
2022-11-23T01:32:32.7467840Z  - 
2022-11-23T01:32:32.7468030Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7468100Z             {
2022-11-23T01:32:32.7468247Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7468526Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:32.7468643Z                 'obj_weakref': None
2022-11-23T01:32:32.7468860Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7468928Z             }
2022-11-23T01:32:32.7468998Z             
2022-11-23T01:32:32.7469075Z  - 
2022-11-23T01:32:32.7469264Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7469335Z             {
2022-11-23T01:32:32.7469473Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7469756Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:32.7469879Z                 'obj_weakref': None
2022-11-23T01:32:32.7470097Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7470170Z             }
2022-11-23T01:32:32.7470239Z             
2022-11-23T01:32:32.7470415Z  - 
2022-11-23T01:32:32.7470629Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7470691Z             {
2022-11-23T01:32:32.7470838Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7471116Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:32.7471237Z                 'obj_weakref': None
2022-11-23T01:32:32.7471455Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7471525Z             }
2022-11-23T01:32:32.7471595Z             
2022-11-23T01:32:32.7471853Z [2022-11-23 01:30:53,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 857
2022-11-23T01:32:32.7472105Z [2022-11-23 01:30:53,950] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7472114Z 
2022-11-23T01:32:32.7472217Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7472291Z import torch
2022-11-23T01:32:32.7472364Z import random
2022-11-23T01:32:32.7472486Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7472614Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7472619Z 
2022-11-23T01:32:32.7472702Z aten = torch.ops.aten
2022-11-23T01:32:32.7472834Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7472933Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7472938Z 
2022-11-23T01:32:32.7473012Z import triton
2022-11-23T01:32:32.7473106Z import triton.language as tl
2022-11-23T01:32:32.7473269Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7473417Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7473422Z 
2022-11-23T01:32:32.7473427Z 
2022-11-23T01:32:32.7473593Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7473694Z import triton
2022-11-23T01:32:32.7473780Z import triton.language as tl
2022-11-23T01:32:32.7473897Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7474000Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7474138Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7474268Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7474273Z 
2022-11-23T01:32:32.7474666Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7474743Z @triton.jit
2022-11-23T01:32:32.7474889Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7474958Z     xnumel = 5040
2022-11-23T01:32:32.7475058Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7475194Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7475282Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7475357Z     x0 = xindex
2022-11-23T01:32:32.7475455Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7475553Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7475625Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7475763Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7475851Z ''')
2022-11-23T01:32:32.7475856Z 
2022-11-23T01:32:32.7475861Z 
2022-11-23T01:32:32.7475955Z async_compile.wait(globals())
2022-11-23T01:32:32.7476034Z del async_compile
2022-11-23T01:32:32.7476039Z 
2022-11-23T01:32:32.7476115Z def call(args):
2022-11-23T01:32:32.7476197Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7476266Z     args.clear()
2022-11-23T01:32:32.7476487Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7476579Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7476733Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7476809Z     del arg0_1
2022-11-23T01:32:32.7476881Z     del arg1_1
2022-11-23T01:32:32.7476958Z     return (buf0, )
2022-11-23T01:32:32.7476963Z 
2022-11-23T01:32:32.7476967Z 
2022-11-23T01:32:32.7477048Z if __name__ == "__main__":
2022-11-23T01:32:32.7477160Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7477289Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7477526Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7477745Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7477868Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7477873Z 
2022-11-23T01:32:32.7477878Z 
2022-11-23T01:32:32.7477978Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7478056Z import torch
2022-11-23T01:32:32.7478133Z import random
2022-11-23T01:32:32.7478246Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7478373Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7478378Z 
2022-11-23T01:32:32.7478465Z aten = torch.ops.aten
2022-11-23T01:32:32.7478606Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7478703Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7478708Z 
2022-11-23T01:32:32.7478786Z import triton
2022-11-23T01:32:32.7478878Z import triton.language as tl
2022-11-23T01:32:32.7478998Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7479178Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7479184Z 
2022-11-23T01:32:32.7479189Z 
2022-11-23T01:32:32.7479352Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7479430Z import triton
2022-11-23T01:32:32.7479523Z import triton.language as tl
2022-11-23T01:32:32.7479708Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7479811Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7479949Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7480069Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7480081Z 
2022-11-23T01:32:32.7480459Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7480535Z @triton.jit
2022-11-23T01:32:32.7480680Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7480759Z     xnumel = 5040
2022-11-23T01:32:32.7480858Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7480989Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7481072Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7481137Z     x0 = xindex
2022-11-23T01:32:32.7481260Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7481378Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7481459Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7481596Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7481683Z ''')
2022-11-23T01:32:32.7481689Z 
2022-11-23T01:32:32.7481693Z 
2022-11-23T01:32:32.7481791Z async_compile.wait(globals())
2022-11-23T01:32:32.7481869Z del async_compile
2022-11-23T01:32:32.7481874Z 
2022-11-23T01:32:32.7481943Z def call(args):
2022-11-23T01:32:32.7482027Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7482104Z     args.clear()
2022-11-23T01:32:32.7482338Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7482444Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7482620Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7482700Z     del arg0_1
2022-11-23T01:32:32.7482766Z     del arg1_1
2022-11-23T01:32:32.7482843Z     return (buf0, )
2022-11-23T01:32:32.7482848Z 
2022-11-23T01:32:32.7482853Z 
2022-11-23T01:32:32.7482934Z if __name__ == "__main__":
2022-11-23T01:32:32.7483054Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7483182Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7483415Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7483631Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7483752Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7483757Z 
2022-11-23T01:32:32.7483762Z 
2022-11-23T01:32:32.7483854Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7483930Z import torch
2022-11-23T01:32:32.7484006Z import random
2022-11-23T01:32:32.7484129Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7484262Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7484267Z 
2022-11-23T01:32:32.7484352Z aten = torch.ops.aten
2022-11-23T01:32:32.7484492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7484588Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7484593Z 
2022-11-23T01:32:32.7484661Z import triton
2022-11-23T01:32:32.7484754Z import triton.language as tl
2022-11-23T01:32:32.7484883Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7485025Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7485031Z 
2022-11-23T01:32:32.7485035Z 
2022-11-23T01:32:32.7485239Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.7485316Z import triton
2022-11-23T01:32:32.7485412Z import triton.language as tl
2022-11-23T01:32:32.7485530Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7485627Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7485788Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7485916Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7485921Z 
2022-11-23T01:32:32.7486310Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7486385Z @triton.jit
2022-11-23T01:32:32.7486531Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7486607Z     xnumel = 5040
2022-11-23T01:32:32.7486704Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7486832Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7486917Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7486989Z     x0 = xindex
2022-11-23T01:32:32.7487088Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7487186Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7487260Z     tmp1 = 1
2022-11-23T01:32:32.7487332Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7487412Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7487552Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7487639Z ''')
2022-11-23T01:32:32.7487644Z 
2022-11-23T01:32:32.7487649Z 
2022-11-23T01:32:32.7487745Z async_compile.wait(globals())
2022-11-23T01:32:32.7487824Z del async_compile
2022-11-23T01:32:32.7487829Z 
2022-11-23T01:32:32.7487908Z def call(args):
2022-11-23T01:32:32.7487988Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7488057Z     args.clear()
2022-11-23T01:32:32.7488279Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7488372Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7488533Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7488607Z     del arg0_1
2022-11-23T01:32:32.7488684Z     del arg1_1
2022-11-23T01:32:32.7488761Z     return (buf0, )
2022-11-23T01:32:32.7488767Z 
2022-11-23T01:32:32.7488771Z 
2022-11-23T01:32:32.7488853Z if __name__ == "__main__":
2022-11-23T01:32:32.7488966Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7489095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7489329Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7489544Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7489665Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7489670Z 
2022-11-23T01:32:32.7490035Z [2022-11-23 01:30:53,955] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r6/cr6mrwwqmth22ggj5plbnncfejpbvc6abu45jtagb3v7ttniztdc.py
2022-11-23T01:32:32.7490305Z [2022-11-23 01:30:53,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 857
2022-11-23T01:32:32.7490552Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7490866Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7491079Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7491335Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7491645Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7491974Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7492320Z [2022-11-23 01:30:53,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7492667Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7493044Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7493146Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7493250Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7493346Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7493440Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7493540Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7493621Z              10 BINARY_ADD
2022-11-23T01:32:32.7493716Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7493802Z              14 RETURN_VALUE
2022-11-23T01:32:32.7493869Z  
2022-11-23T01:32:32.7493875Z 
2022-11-23T01:32:32.7494191Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7494401Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7494651Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7494938Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7495251Z [2022-11-23 01:30:53,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7495494Z [2022-11-23 01:30:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7495773Z [2022-11-23 01:30:53,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7496020Z [2022-11-23 01:30:53,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7496270Z [2022-11-23 01:30:53,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7496653Z [2022-11-23 01:30:53,961] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7496899Z [2022-11-23 01:30:53,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7497139Z [2022-11-23 01:30:53,961] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7497400Z [2022-11-23 01:30:53,962] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7497656Z [2022-11-23 01:30:53,965] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7497854Z [2022-11-23 01:30:53,965] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7497995Z  __compiled_fn_876 <eval_with_key>.5386 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7498091Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7498183Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7498290Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T01:32:32.7498468Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7498594Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7498600Z 
2022-11-23T01:32:32.7499112Z [2022-11-23 01:30:53,966] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7499216Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7499364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7499459Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7499563Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7499648Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7499744Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7499827Z              12 RETURN_VALUE
2022-11-23T01:32:32.7499832Z 
2022-11-23T01:32:32.7499897Z  
2022-11-23T01:32:32.7500229Z [2022-11-23 01:30:53,966] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7500350Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_876)
2022-11-23T01:32:32.7500450Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7500548Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7500623Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7500724Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7500819Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7500903Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7500998Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7501112Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7501248Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7501344Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7501437Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7501539Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7501652Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7501748Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7501834Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7501930Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7502030Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7502129Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7502226Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7502308Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7502418Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7502515Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7502619Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7502718Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7502791Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7502903Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7502987Z              54 RETURN_VALUE
2022-11-23T01:32:32.7502992Z 
2022-11-23T01:32:32.7503059Z  
2022-11-23T01:32:32.7503250Z [2022-11-23 01:30:53,967] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7503327Z  - 
2022-11-23T01:32:32.7503456Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7503518Z             {
2022-11-23T01:32:32.7503667Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7503858Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7503983Z                 'obj_weakref': None
2022-11-23T01:32:32.7504208Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7504278Z             }
2022-11-23T01:32:32.7504347Z             
2022-11-23T01:32:32.7504416Z  - 
2022-11-23T01:32:32.7504548Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7504617Z             {
2022-11-23T01:32:32.7504807Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7504922Z                 'code': None,
2022-11-23T01:32:32.7505135Z                 'obj_weakref': <weakref at 0x7f1f25b4f470; to 'Tensor' at 0x7f2068241760>
2022-11-23T01:32:32.7505388Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7505473Z             }
2022-11-23T01:32:32.7505543Z             
2022-11-23T01:32:32.7505621Z  - 
2022-11-23T01:32:32.7505752Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7505820Z             {
2022-11-23T01:32:32.7505970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7506083Z                 'code': None,
2022-11-23T01:32:32.7506292Z                 'obj_weakref': <weakref at 0x7f1f25b4ffb0; to 'Tensor' at 0x7f1ff8144040>
2022-11-23T01:32:32.7506545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7506620Z             }
2022-11-23T01:32:32.7506690Z             
2022-11-23T01:32:32.7506767Z  - 
2022-11-23T01:32:32.7506903Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7506970Z             {
2022-11-23T01:32:32.7507104Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7507282Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7507406Z                 'obj_weakref': None
2022-11-23T01:32:32.7507640Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7507709Z             }
2022-11-23T01:32:32.7507776Z             
2022-11-23T01:32:32.7507853Z  - 
2022-11-23T01:32:32.7507972Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7508041Z             {
2022-11-23T01:32:32.7508183Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7508405Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7508533Z                 'obj_weakref': None
2022-11-23T01:32:32.7508760Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7508830Z             }
2022-11-23T01:32:32.7508891Z             
2022-11-23T01:32:32.7508970Z  - 
2022-11-23T01:32:32.7509152Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7509222Z             {
2022-11-23T01:32:32.7509397Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7509924Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:32.7510052Z                 'obj_weakref': None
2022-11-23T01:32:32.7510352Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7510427Z             }
2022-11-23T01:32:32.7510509Z             
2022-11-23T01:32:32.7510594Z  - 
2022-11-23T01:32:32.7510786Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7510859Z             {
2022-11-23T01:32:32.7511008Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7511295Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:32.7511412Z                 'obj_weakref': None
2022-11-23T01:32:32.7511634Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7511704Z             }
2022-11-23T01:32:32.7511773Z             
2022-11-23T01:32:32.7511848Z  - 
2022-11-23T01:32:32.7512038Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7512142Z             {
2022-11-23T01:32:32.7512285Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7512570Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:32.7512717Z                 'obj_weakref': None
2022-11-23T01:32:32.7512939Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7513009Z             }
2022-11-23T01:32:32.7513077Z             
2022-11-23T01:32:32.7513342Z [2022-11-23 01:30:53,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 858
2022-11-23T01:32:32.7513603Z [2022-11-23 01:30:53,976] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7513954Z [2022-11-23 01:30:53,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/26/c26n6nti42fxl4b24yunuay57l5me5iuadzejfsflyjg552t5l43.py
2022-11-23T01:32:32.7514228Z [2022-11-23 01:30:53,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 858
2022-11-23T01:32:32.7514471Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7514797Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7515022Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7515280Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7515562Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7515889Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7516235Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7516564Z [2022-11-23 01:30:53,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7516943Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7517036Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7517140Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7517242Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7517337Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7517440Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7517521Z              10 BINARY_ADD
2022-11-23T01:32:32.7517616Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7517691Z              14 RETURN_VALUE
2022-11-23T01:32:32.7517757Z  
2022-11-23T01:32:32.7517763Z 
2022-11-23T01:32:32.7518109Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7518352Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7518600Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7518887Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7519195Z [2022-11-23 01:30:53,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7519465Z [2022-11-23 01:30:53,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7519743Z [2022-11-23 01:30:53,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7519982Z [2022-11-23 01:30:53,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7520255Z [2022-11-23 01:30:53,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7520635Z [2022-11-23 01:30:53,989] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7520886Z [2022-11-23 01:30:53,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7521125Z [2022-11-23 01:30:53,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7521388Z [2022-11-23 01:30:53,990] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7521643Z [2022-11-23 01:30:53,993] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7521841Z [2022-11-23 01:30:53,993] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7521984Z  __compiled_fn_877 <eval_with_key>.5392 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7522072Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7522163Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7522269Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T01:32:32.7522453Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7522553Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7522558Z 
2022-11-23T01:32:32.7522888Z [2022-11-23 01:30:53,993] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7522989Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7523087Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7523174Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7523282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7523375Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7523471Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7523552Z              12 RETURN_VALUE
2022-11-23T01:32:32.7523557Z 
2022-11-23T01:32:32.7523628Z  
2022-11-23T01:32:32.7523951Z [2022-11-23 01:30:53,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7524068Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_877)
2022-11-23T01:32:32.7524158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7524258Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7524342Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7524436Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7524534Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7524614Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7524711Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7524817Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7524954Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7525059Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7525153Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7525256Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7525366Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7525463Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7525538Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7525671Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7525774Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7525881Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7525980Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7526091Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7526200Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7526290Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7526396Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7526492Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7526573Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7526682Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7526763Z              54 RETURN_VALUE
2022-11-23T01:32:32.7526769Z 
2022-11-23T01:32:32.7526834Z  
2022-11-23T01:32:32.7527024Z [2022-11-23 01:30:53,995] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7527093Z  - 
2022-11-23T01:32:32.7527218Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7527286Z             {
2022-11-23T01:32:32.7527434Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7527628Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7527753Z                 'obj_weakref': None
2022-11-23T01:32:32.7527979Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7528042Z             }
2022-11-23T01:32:32.7528111Z             
2022-11-23T01:32:32.7528188Z  - 
2022-11-23T01:32:32.7528322Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7528390Z             {
2022-11-23T01:32:32.7528540Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7528653Z                 'code': None,
2022-11-23T01:32:32.7528860Z                 'obj_weakref': <weakref at 0x7f1f25e865c0; to 'Tensor' at 0x7f2000fe5d50>
2022-11-23T01:32:32.7529108Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7529179Z             }
2022-11-23T01:32:32.7529248Z             
2022-11-23T01:32:32.7529325Z  - 
2022-11-23T01:32:32.7529459Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7529528Z             {
2022-11-23T01:32:32.7529668Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7529782Z                 'code': None,
2022-11-23T01:32:32.7529995Z                 'obj_weakref': <weakref at 0x7f1f25e861b0; to 'Tensor' at 0x7f1ffad4d710>
2022-11-23T01:32:32.7530243Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7530314Z             }
2022-11-23T01:32:32.7530381Z             
2022-11-23T01:32:32.7530459Z  - 
2022-11-23T01:32:32.7530585Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7530655Z             {
2022-11-23T01:32:32.7530799Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7530973Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7531097Z                 'obj_weakref': None
2022-11-23T01:32:32.7531328Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7531401Z             }
2022-11-23T01:32:32.7531462Z             
2022-11-23T01:32:32.7531539Z  - 
2022-11-23T01:32:32.7531664Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7531733Z             {
2022-11-23T01:32:32.7531874Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7532095Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7532220Z                 'obj_weakref': None
2022-11-23T01:32:32.7532435Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7532536Z             }
2022-11-23T01:32:32.7532606Z             
2022-11-23T01:32:32.7532682Z  - 
2022-11-23T01:32:32.7532864Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7532933Z             {
2022-11-23T01:32:32.7533104Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7533633Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:32.7533757Z                 'obj_weakref': None
2022-11-23T01:32:32.7533979Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7534050Z             }
2022-11-23T01:32:32.7534120Z             
2022-11-23T01:32:32.7534196Z  - 
2022-11-23T01:32:32.7534387Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7534459Z             {
2022-11-23T01:32:32.7534599Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7534882Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:32.7535010Z                 'obj_weakref': None
2022-11-23T01:32:32.7535229Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7535299Z             }
2022-11-23T01:32:32.7535367Z             
2022-11-23T01:32:32.7535444Z  - 
2022-11-23T01:32:32.7535623Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7535693Z             {
2022-11-23T01:32:32.7535840Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7536122Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:32.7536244Z                 'obj_weakref': None
2022-11-23T01:32:32.7536460Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7536531Z             }
2022-11-23T01:32:32.7536595Z             
2022-11-23T01:32:32.7536856Z [2022-11-23 01:30:53,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 859
2022-11-23T01:32:32.7537108Z [2022-11-23 01:30:54,003] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7537480Z [2022-11-23 01:30:54,010] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ga/cgajomahqb5k56xjbtjkc3ypeui6pjrkwswwqutougivrkwhwqya.py
2022-11-23T01:32:32.7537750Z [2022-11-23 01:30:54,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 859
2022-11-23T01:32:32.7537991Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7538307Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7538531Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7538980Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7539268Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7539583Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7539925Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7540296Z [2022-11-23 01:30:54,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7540675Z [2022-11-23 01:30:54,014] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7540805Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7540904Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7540988Z               4 BINARY_ADD
2022-11-23T01:32:32.7541094Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7541193Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7541279Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7541376Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7541454Z              14 BINARY_ADD
2022-11-23T01:32:32.7541552Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7541635Z              18 RETURN_VALUE
2022-11-23T01:32:32.7541702Z  
2022-11-23T01:32:32.7541708Z 
2022-11-23T01:32:32.7542027Z [2022-11-23 01:30:54,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7542239Z [2022-11-23 01:30:54,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7542482Z [2022-11-23 01:30:54,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7542768Z [2022-11-23 01:30:54,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7543017Z [2022-11-23 01:30:54,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7543301Z [2022-11-23 01:30:54,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7543610Z [2022-11-23 01:30:54,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7543852Z [2022-11-23 01:30:54,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7544131Z [2022-11-23 01:30:54,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7544378Z [2022-11-23 01:30:54,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7544629Z [2022-11-23 01:30:54,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7544997Z [2022-11-23 01:30:54,017] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7545248Z [2022-11-23 01:30:54,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7545487Z [2022-11-23 01:30:54,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7545747Z [2022-11-23 01:30:54,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7546010Z [2022-11-23 01:30:54,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7546204Z [2022-11-23 01:30:54,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7546348Z  __compiled_fn_878 <eval_with_key>.5398 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7546443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7546528Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7546707Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7546815Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T01:32:32.7547031Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7547134Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7547139Z 
2022-11-23T01:32:32.7547473Z [2022-11-23 01:30:54,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7547603Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7547702Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7547788Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7547888Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7547981Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7548077Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7548158Z              12 RETURN_VALUE
2022-11-23T01:32:32.7548163Z 
2022-11-23T01:32:32.7548230Z  
2022-11-23T01:32:32.7548557Z [2022-11-23 01:30:54,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7548675Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_878)
2022-11-23T01:32:32.7548764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7548862Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7548947Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7549043Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7549142Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7549223Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7549319Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7549423Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7549559Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7549664Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7549757Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7549861Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7549969Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7550063Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7550145Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7550235Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7550406Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7550532Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7550636Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7550719Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7550831Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7550929Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7551027Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7551123Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7551207Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7551316Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7551402Z              54 RETURN_VALUE
2022-11-23T01:32:32.7551407Z 
2022-11-23T01:32:32.7551473Z  
2022-11-23T01:32:32.7551664Z [2022-11-23 01:30:54,024] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7551736Z  - 
2022-11-23T01:32:32.7551861Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7551931Z             {
2022-11-23T01:32:32.7552079Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7552272Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7552398Z                 'obj_weakref': None
2022-11-23T01:32:32.7552625Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7552687Z             }
2022-11-23T01:32:32.7552758Z             
2022-11-23T01:32:32.7552836Z  - 
2022-11-23T01:32:32.7552997Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7553067Z             {
2022-11-23T01:32:32.7553214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7553327Z                 'code': None,
2022-11-23T01:32:32.7553535Z                 'obj_weakref': <weakref at 0x7f1f29a90b80; to 'Tensor' at 0x7f1fd81b9170>
2022-11-23T01:32:32.7553819Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7553890Z             }
2022-11-23T01:32:32.7553958Z             
2022-11-23T01:32:32.7554035Z  - 
2022-11-23T01:32:32.7554162Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7554234Z             {
2022-11-23T01:32:32.7554374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7554485Z                 'code': None,
2022-11-23T01:32:32.7554692Z                 'obj_weakref': <weakref at 0x7f1f29a91210; to 'Tensor' at 0x7f2068241760>
2022-11-23T01:32:32.7554946Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7555017Z             }
2022-11-23T01:32:32.7555086Z             
2022-11-23T01:32:32.7555163Z  - 
2022-11-23T01:32:32.7555292Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7555367Z             {
2022-11-23T01:32:32.7555509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7555686Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7555811Z                 'obj_weakref': None
2022-11-23T01:32:32.7556047Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7556118Z             }
2022-11-23T01:32:32.7556179Z             
2022-11-23T01:32:32.7556255Z  - 
2022-11-23T01:32:32.7556383Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7556453Z             {
2022-11-23T01:32:32.7556594Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7556820Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7556944Z                 'obj_weakref': None
2022-11-23T01:32:32.7557161Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7557234Z             }
2022-11-23T01:32:32.7557306Z             
2022-11-23T01:32:32.7557384Z  - 
2022-11-23T01:32:32.7557569Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7557639Z             {
2022-11-23T01:32:32.7557819Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7558346Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:32.7558466Z                 'obj_weakref': None
2022-11-23T01:32:32.7558692Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7558762Z             }
2022-11-23T01:32:32.7558830Z             
2022-11-23T01:32:32.7558906Z  - 
2022-11-23T01:32:32.7559098Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7559168Z             {
2022-11-23T01:32:32.7559310Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7559595Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:32.7559719Z                 'obj_weakref': None
2022-11-23T01:32:32.7559940Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7560008Z             }
2022-11-23T01:32:32.7560078Z             
2022-11-23T01:32:32.7560153Z  - 
2022-11-23T01:32:32.7560372Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7560443Z             {
2022-11-23T01:32:32.7560592Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7560881Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:32.7561028Z                 'obj_weakref': None
2022-11-23T01:32:32.7561248Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7561317Z             }
2022-11-23T01:32:32.7561386Z             
2022-11-23T01:32:32.7561644Z [2022-11-23 01:30:54,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 860
2022-11-23T01:32:32.7561898Z [2022-11-23 01:30:54,038] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7561904Z 
2022-11-23T01:32:32.7562003Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7562080Z import torch
2022-11-23T01:32:32.7562155Z import random
2022-11-23T01:32:32.7562276Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7562403Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7562408Z 
2022-11-23T01:32:32.7562495Z aten = torch.ops.aten
2022-11-23T01:32:32.7562628Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7562727Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7562732Z 
2022-11-23T01:32:32.7562805Z import triton
2022-11-23T01:32:32.7562900Z import triton.language as tl
2022-11-23T01:32:32.7563026Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7563172Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7563177Z 
2022-11-23T01:32:32.7563181Z 
2022-11-23T01:32:32.7563356Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.7563432Z import triton
2022-11-23T01:32:32.7563518Z import triton.language as tl
2022-11-23T01:32:32.7563636Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7563742Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7563878Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7564006Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7564013Z 
2022-11-23T01:32:32.7564404Z @pointwise(size_hints=[8192], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7564479Z @triton.jit
2022-11-23T01:32:32.7564618Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7564696Z     xnumel = 5040
2022-11-23T01:32:32.7564796Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7564930Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7565016Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7565090Z     x0 = xindex
2022-11-23T01:32:32.7565210Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7565322Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7565397Z     tmp1 = 1
2022-11-23T01:32:32.7565477Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7565560Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7565699Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7565787Z ''')
2022-11-23T01:32:32.7565792Z 
2022-11-23T01:32:32.7565797Z 
2022-11-23T01:32:32.7565895Z async_compile.wait(globals())
2022-11-23T01:32:32.7565973Z del async_compile
2022-11-23T01:32:32.7565978Z 
2022-11-23T01:32:32.7566046Z def call(args):
2022-11-23T01:32:32.7566125Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7566202Z     args.clear()
2022-11-23T01:32:32.7566420Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7566512Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7566700Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 5040, grid=grid(5040), stream=stream0)
2022-11-23T01:32:32.7566775Z     del arg0_1
2022-11-23T01:32:32.7566841Z     del arg1_1
2022-11-23T01:32:32.7566919Z     return (buf0, )
2022-11-23T01:32:32.7566925Z 
2022-11-23T01:32:32.7566956Z 
2022-11-23T01:32:32.7567038Z if __name__ == "__main__":
2022-11-23T01:32:32.7567159Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7567289Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7567526Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7567743Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7567867Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7567872Z 
2022-11-23T01:32:32.7567877Z 
2022-11-23T01:32:32.7567977Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7568046Z import torch
2022-11-23T01:32:32.7568121Z import random
2022-11-23T01:32:32.7568242Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7568369Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7568374Z 
2022-11-23T01:32:32.7568457Z aten = torch.ops.aten
2022-11-23T01:32:32.7568600Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7568699Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7568704Z 
2022-11-23T01:32:32.7568771Z import triton
2022-11-23T01:32:32.7568865Z import triton.language as tl
2022-11-23T01:32:32.7568992Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7569135Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7569141Z 
2022-11-23T01:32:32.7569146Z 
2022-11-23T01:32:32.7569314Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7569389Z import triton
2022-11-23T01:32:32.7569482Z import triton.language as tl
2022-11-23T01:32:32.7569599Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7569695Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7569832Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7569959Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7569967Z 
2022-11-23T01:32:32.7570355Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7570429Z @triton.jit
2022-11-23T01:32:32.7570574Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7570654Z     xnumel = 1000
2022-11-23T01:32:32.7570753Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7570876Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7570961Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7571033Z     x0 = xindex
2022-11-23T01:32:32.7571133Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7571232Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7571313Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7571450Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7571533Z ''')
2022-11-23T01:32:32.7571538Z 
2022-11-23T01:32:32.7571543Z 
2022-11-23T01:32:32.7571637Z async_compile.wait(globals())
2022-11-23T01:32:32.7571715Z del async_compile
2022-11-23T01:32:32.7571720Z 
2022-11-23T01:32:32.7571797Z def call(args):
2022-11-23T01:32:32.7571877Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7571954Z     args.clear()
2022-11-23T01:32:32.7572157Z     buf0 = empty_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7572241Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7572392Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7572466Z     del arg0_1
2022-11-23T01:32:32.7572579Z     del arg1_1
2022-11-23T01:32:32.7572658Z     return (buf0, )
2022-11-23T01:32:32.7572663Z 
2022-11-23T01:32:32.7572667Z 
2022-11-23T01:32:32.7572749Z if __name__ == "__main__":
2022-11-23T01:32:32.7572882Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7573054Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7573275Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7573477Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7573598Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7573603Z 
2022-11-23T01:32:32.7573607Z 
2022-11-23T01:32:32.7573708Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7573782Z import torch
2022-11-23T01:32:32.7573858Z import random
2022-11-23T01:32:32.7573979Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7574108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7574113Z 
2022-11-23T01:32:32.7574189Z aten = torch.ops.aten
2022-11-23T01:32:32.7574329Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7574429Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7574434Z 
2022-11-23T01:32:32.7574512Z import triton
2022-11-23T01:32:32.7574606Z import triton.language as tl
2022-11-23T01:32:32.7574733Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7574877Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7574883Z 
2022-11-23T01:32:32.7574887Z 
2022-11-23T01:32:32.7575048Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7575117Z import triton
2022-11-23T01:32:32.7575209Z import triton.language as tl
2022-11-23T01:32:32.7575329Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7575433Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7575572Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7575700Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7575705Z 
2022-11-23T01:32:32.7576090Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7576168Z @triton.jit
2022-11-23T01:32:32.7576305Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7576382Z     xnumel = 1000
2022-11-23T01:32:32.7576480Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7576613Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7576699Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7576771Z     x0 = xindex
2022-11-23T01:32:32.7576890Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7577001Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7577083Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7577219Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7577306Z ''')
2022-11-23T01:32:32.7577312Z 
2022-11-23T01:32:32.7577316Z 
2022-11-23T01:32:32.7577410Z async_compile.wait(globals())
2022-11-23T01:32:32.7577492Z del async_compile
2022-11-23T01:32:32.7577497Z 
2022-11-23T01:32:32.7577574Z def call(args):
2022-11-23T01:32:32.7577659Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7577729Z     args.clear()
2022-11-23T01:32:32.7577930Z     buf0 = empty_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7578022Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7578174Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7578248Z     del arg0_1
2022-11-23T01:32:32.7578321Z     del arg1_1
2022-11-23T01:32:32.7578398Z     return (buf0, )
2022-11-23T01:32:32.7578403Z 
2022-11-23T01:32:32.7578408Z 
2022-11-23T01:32:32.7578510Z if __name__ == "__main__":
2022-11-23T01:32:32.7578632Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7578762Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7579157Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7579406Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7579526Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7579532Z 
2022-11-23T01:32:32.7579891Z [2022-11-23 01:30:54,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yr/cyrditt723sx7d5hfhhfj4452ecoklgmn4ongr4ja5mgqbape7jh.py
2022-11-23T01:32:32.7580156Z [2022-11-23 01:30:54,045] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 860
2022-11-23T01:32:32.7580397Z [2022-11-23 01:30:54,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7580706Z [2022-11-23 01:30:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7580926Z [2022-11-23 01:30:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7581181Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7581455Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7581772Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7582115Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7582435Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7582804Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7582906Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7583006Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7583077Z               4 BINARY_ADD
2022-11-23T01:32:32.7583177Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7583279Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7583374Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7583470Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7583549Z              14 BINARY_ADD
2022-11-23T01:32:32.7583644Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7583717Z              18 RETURN_VALUE
2022-11-23T01:32:32.7583788Z  
2022-11-23T01:32:32.7583793Z 
2022-11-23T01:32:32.7584108Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7584322Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7584566Z [2022-11-23 01:30:54,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7584846Z [2022-11-23 01:30:54,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7585090Z [2022-11-23 01:30:54,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7585369Z [2022-11-23 01:30:54,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7585749Z [2022-11-23 01:30:54,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7585983Z [2022-11-23 01:30:54,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7586256Z [2022-11-23 01:30:54,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7586526Z [2022-11-23 01:30:54,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7586775Z [2022-11-23 01:30:54,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7587151Z [2022-11-23 01:30:54,052] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7587398Z [2022-11-23 01:30:54,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7587638Z [2022-11-23 01:30:54,052] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7587895Z [2022-11-23 01:30:54,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7588147Z [2022-11-23 01:30:54,057] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7588332Z [2022-11-23 01:30:54,057] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7588475Z  __compiled_fn_879 <eval_with_key>.5404 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7588569Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7588664Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7588843Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7588949Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T01:32:32.7589136Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7589239Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7589245Z 
2022-11-23T01:32:32.7589561Z [2022-11-23 01:30:54,058] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7589664Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7589763Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7589857Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7589957Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7590050Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7590147Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7590222Z              12 RETURN_VALUE
2022-11-23T01:32:32.7590235Z 
2022-11-23T01:32:32.7590365Z  
2022-11-23T01:32:32.7590735Z [2022-11-23 01:30:54,058] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7590865Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_879)
2022-11-23T01:32:32.7590963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7591060Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7591144Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7591243Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7591330Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7591412Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7591505Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7591619Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7591758Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7591861Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7591953Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7592047Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7592188Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7592286Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7592370Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7592465Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7592588Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7592693Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7592791Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7592864Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7592975Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7593072Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7593176Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7593271Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7593351Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7593461Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7593533Z              54 RETURN_VALUE
2022-11-23T01:32:32.7593538Z 
2022-11-23T01:32:32.7593604Z  
2022-11-23T01:32:32.7593795Z [2022-11-23 01:30:54,059] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7593876Z  - 
2022-11-23T01:32:32.7594002Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7594071Z             {
2022-11-23T01:32:32.7594218Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7594401Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7594526Z                 'obj_weakref': None
2022-11-23T01:32:32.7594750Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7594819Z             }
2022-11-23T01:32:32.7594887Z             
2022-11-23T01:32:32.7594962Z  - 
2022-11-23T01:32:32.7595091Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7595153Z             {
2022-11-23T01:32:32.7595302Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7595413Z                 'code': None,
2022-11-23T01:32:32.7595631Z                 'obj_weakref': <weakref at 0x7f1ffad2d9e0; to 'Tensor' at 0x7f1fd8310c70>
2022-11-23T01:32:32.7595885Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7595958Z             }
2022-11-23T01:32:32.7596026Z             
2022-11-23T01:32:32.7596094Z  - 
2022-11-23T01:32:32.7596221Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7596290Z             {
2022-11-23T01:32:32.7596437Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7596547Z                 'code': None,
2022-11-23T01:32:32.7596760Z                 'obj_weakref': <weakref at 0x7f1ffad2d5d0; to 'Tensor' at 0x7f20601ec040>
2022-11-23T01:32:32.7597013Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7597076Z             }
2022-11-23T01:32:32.7597144Z             
2022-11-23T01:32:32.7597220Z  - 
2022-11-23T01:32:32.7597355Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7597424Z             {
2022-11-23T01:32:32.7597564Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7597741Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7597857Z                 'obj_weakref': None
2022-11-23T01:32:32.7598087Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7598155Z             }
2022-11-23T01:32:32.7598223Z             
2022-11-23T01:32:32.7598299Z  - 
2022-11-23T01:32:32.7598426Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7598495Z             {
2022-11-23T01:32:32.7598630Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7598849Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7599003Z                 'obj_weakref': None
2022-11-23T01:32:32.7599229Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7599299Z             }
2022-11-23T01:32:32.7599369Z             
2022-11-23T01:32:32.7599464Z  - 
2022-11-23T01:32:32.7599639Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7599709Z             {
2022-11-23T01:32:32.7599882Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7600398Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:32.7600521Z                 'obj_weakref': None
2022-11-23T01:32:32.7600745Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7600814Z             }
2022-11-23T01:32:32.7600882Z             
2022-11-23T01:32:32.7600950Z  - 
2022-11-23T01:32:32.7601138Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7601210Z             {
2022-11-23T01:32:32.7601356Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7601638Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:32.7601759Z                 'obj_weakref': None
2022-11-23T01:32:32.7601980Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7602040Z             }
2022-11-23T01:32:32.7602109Z             
2022-11-23T01:32:32.7602188Z  - 
2022-11-23T01:32:32.7602376Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7602450Z             {
2022-11-23T01:32:32.7602597Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7602882Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:32.7603029Z                 'obj_weakref': None
2022-11-23T01:32:32.7603264Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7603333Z             }
2022-11-23T01:32:32.7603402Z             
2022-11-23T01:32:32.7603664Z [2022-11-23 01:30:54,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 861
2022-11-23T01:32:32.7603915Z [2022-11-23 01:30:54,070] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7604277Z [2022-11-23 01:30:54,077] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cieygy522vgpaumu3f7g75rwdjkvb5k2hkt3yekmacrghkshmmca.py
2022-11-23T01:32:32.7604547Z [2022-11-23 01:30:54,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 861
2022-11-23T01:32:32.7604788Z [2022-11-23 01:30:54,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7605097Z [2022-11-23 01:30:54,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7605319Z [2022-11-23 01:30:54,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7605578Z [2022-11-23 01:30:54,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7605857Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7606213Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7606558Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7606884Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7607286Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7607387Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7607488Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7607581Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7607675Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7607772Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7607852Z              10 BINARY_ADD
2022-11-23T01:32:32.7607946Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7608028Z              14 RETURN_VALUE
2022-11-23T01:32:32.7608093Z  
2022-11-23T01:32:32.7608098Z 
2022-11-23T01:32:32.7608404Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7608621Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7608866Z [2022-11-23 01:30:54,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7609147Z [2022-11-23 01:30:54,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7609449Z [2022-11-23 01:30:54,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7609694Z [2022-11-23 01:30:54,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7609965Z [2022-11-23 01:30:54,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7610213Z [2022-11-23 01:30:54,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7610465Z [2022-11-23 01:30:54,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7610846Z [2022-11-23 01:30:54,083] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7611089Z [2022-11-23 01:30:54,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7611329Z [2022-11-23 01:30:54,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7611592Z [2022-11-23 01:30:54,085] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7611847Z [2022-11-23 01:30:54,088] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7612047Z [2022-11-23 01:30:54,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7612189Z  __compiled_fn_880 <eval_with_key>.5410 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7612283Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7612376Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7612475Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T01:32:32.7612661Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7612786Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7612791Z 
2022-11-23T01:32:32.7613170Z [2022-11-23 01:30:54,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7613275Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7613373Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7613465Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7613590Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7613675Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7613771Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7613854Z              12 RETURN_VALUE
2022-11-23T01:32:32.7613859Z 
2022-11-23T01:32:32.7613926Z  
2022-11-23T01:32:32.7614252Z [2022-11-23 01:30:54,088] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7614371Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_880)
2022-11-23T01:32:32.7614466Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7614566Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7614641Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7614735Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7614830Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7614911Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7615009Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7615122Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7615261Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7615357Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7615451Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7615555Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7615664Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7615760Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7615845Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7615940Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7616032Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7616137Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7616233Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7616317Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7616427Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7616524Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7616629Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7616716Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7616800Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7616909Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7616989Z              54 RETURN_VALUE
2022-11-23T01:32:32.7616994Z 
2022-11-23T01:32:32.7617060Z  
2022-11-23T01:32:32.7617250Z [2022-11-23 01:30:54,090] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7617331Z  - 
2022-11-23T01:32:32.7617454Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7617515Z             {
2022-11-23T01:32:32.7617660Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7617852Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7617976Z                 'obj_weakref': None
2022-11-23T01:32:32.7618200Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7618270Z             }
2022-11-23T01:32:32.7618337Z             
2022-11-23T01:32:32.7618405Z  - 
2022-11-23T01:32:32.7618536Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7618604Z             {
2022-11-23T01:32:32.7618754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7619068Z                 'code': None,
2022-11-23T01:32:32.7619341Z                 'obj_weakref': <weakref at 0x7f1fd83723e0; to 'Tensor' at 0x7f1fd8310c70>
2022-11-23T01:32:32.7619596Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7619658Z             }
2022-11-23T01:32:32.7619726Z             
2022-11-23T01:32:32.7619832Z  - 
2022-11-23T01:32:32.7619962Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7620030Z             {
2022-11-23T01:32:32.7620177Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7620287Z                 'code': None,
2022-11-23T01:32:32.7620491Z                 'obj_weakref': <weakref at 0x7f201e3e5670; to 'Tensor' at 0x7f2068240f40>
2022-11-23T01:32:32.7620742Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7620810Z             }
2022-11-23T01:32:32.7620878Z             
2022-11-23T01:32:32.7620954Z  - 
2022-11-23T01:32:32.7621088Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7621160Z             {
2022-11-23T01:32:32.7621291Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7621467Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7621589Z                 'obj_weakref': None
2022-11-23T01:32:32.7621821Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7621890Z             }
2022-11-23T01:32:32.7621958Z             
2022-11-23T01:32:32.7622035Z  - 
2022-11-23T01:32:32.7622155Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7622223Z             {
2022-11-23T01:32:32.7622365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7622584Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7622707Z                 'obj_weakref': None
2022-11-23T01:32:32.7622934Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7623007Z             }
2022-11-23T01:32:32.7623067Z             
2022-11-23T01:32:32.7623143Z  - 
2022-11-23T01:32:32.7623330Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7623399Z             {
2022-11-23T01:32:32.7623577Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7624196Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:32.7624322Z                 'obj_weakref': None
2022-11-23T01:32:32.7624546Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7624607Z             }
2022-11-23T01:32:32.7624677Z             
2022-11-23T01:32:32.7624753Z  - 
2022-11-23T01:32:32.7624942Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7625009Z             {
2022-11-23T01:32:32.7625157Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7625444Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:32.7625560Z                 'obj_weakref': None
2022-11-23T01:32:32.7625784Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7625852Z             }
2022-11-23T01:32:32.7625920Z             
2022-11-23T01:32:32.7625999Z  - 
2022-11-23T01:32:32.7626188Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7626257Z             {
2022-11-23T01:32:32.7626397Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7626715Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:32.7626839Z                 'obj_weakref': None
2022-11-23T01:32:32.7627061Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7627154Z             }
2022-11-23T01:32:32.7627223Z             
2022-11-23T01:32:32.7627300Z  - 
2022-11-23T01:32:32.7627491Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7627552Z             {
2022-11-23T01:32:32.7627702Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7627986Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:32.7628113Z                 'obj_weakref': None
2022-11-23T01:32:32.7628339Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7628407Z             }
2022-11-23T01:32:32.7628475Z             
2022-11-23T01:32:32.7628732Z [2022-11-23 01:30:54,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 862
2022-11-23T01:32:32.7628986Z [2022-11-23 01:30:54,097] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7629356Z [2022-11-23 01:30:54,103] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vl/cvlfgs3pce3ygjtfrkhi7q32dwfiaiqeqnbyp626s3lyt3yzz55c.py
2022-11-23T01:32:32.7629626Z [2022-11-23 01:30:54,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 862
2022-11-23T01:32:32.7629867Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7630187Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7630491Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7630779Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7631084Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7631410Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7631749Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7632074Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7632455Z [2022-11-23 01:30:54,107] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7632554Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7632660Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7632761Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7632854Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7632951Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7633023Z              10 BINARY_ADD
2022-11-23T01:32:32.7633119Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7633201Z              14 RETURN_VALUE
2022-11-23T01:32:32.7633268Z  
2022-11-23T01:32:32.7633274Z 
2022-11-23T01:32:32.7633590Z [2022-11-23 01:30:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7633838Z [2022-11-23 01:30:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7634087Z [2022-11-23 01:30:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7634375Z [2022-11-23 01:30:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7634710Z [2022-11-23 01:30:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7634942Z [2022-11-23 01:30:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7635223Z [2022-11-23 01:30:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7635471Z [2022-11-23 01:30:54,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7635723Z [2022-11-23 01:30:54,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7636102Z [2022-11-23 01:30:54,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7636353Z [2022-11-23 01:30:54,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7636588Z [2022-11-23 01:30:54,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7636847Z [2022-11-23 01:30:54,111] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7637101Z [2022-11-23 01:30:54,114] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7637287Z [2022-11-23 01:30:54,114] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7637434Z  __compiled_fn_881 <eval_with_key>.5416 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7637528Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7637622Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7637728Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T01:32:32.7637912Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7638015Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7638021Z 
2022-11-23T01:32:32.7638354Z [2022-11-23 01:30:54,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7638446Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7638545Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7638639Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7638739Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7638831Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7638929Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7639011Z              12 RETURN_VALUE
2022-11-23T01:32:32.7639017Z 
2022-11-23T01:32:32.7639082Z  
2022-11-23T01:32:32.7639399Z [2022-11-23 01:30:54,115] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7639520Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_881)
2022-11-23T01:32:32.7639617Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7639716Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7639801Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7639897Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7639994Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7640068Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7640162Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7640298Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7640437Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7640543Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7640638Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7640765Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7640867Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7640963Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7641046Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7641141Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7641242Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7641349Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7641445Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7641531Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7641638Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7641737Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7641842Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7641938Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7642023Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7642133Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7642214Z              54 RETURN_VALUE
2022-11-23T01:32:32.7642219Z 
2022-11-23T01:32:32.7642278Z  
2022-11-23T01:32:32.7642469Z [2022-11-23 01:30:54,116] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7642547Z  - 
2022-11-23T01:32:32.7642674Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7642744Z             {
2022-11-23T01:32:32.7642898Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7643124Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7643250Z                 'obj_weakref': None
2022-11-23T01:32:32.7643483Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7643553Z             }
2022-11-23T01:32:32.7643622Z             
2022-11-23T01:32:32.7643700Z  - 
2022-11-23T01:32:32.7643830Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7643902Z             {
2022-11-23T01:32:32.7644043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7644157Z                 'code': None,
2022-11-23T01:32:32.7644372Z                 'obj_weakref': <weakref at 0x7f1f25f13c90; to 'Tensor' at 0x7f1f25e865c0>
2022-11-23T01:32:32.7644627Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7644697Z             }
2022-11-23T01:32:32.7644766Z             
2022-11-23T01:32:32.7644841Z  - 
2022-11-23T01:32:32.7644961Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7645030Z             {
2022-11-23T01:32:32.7645181Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7645295Z                 'code': None,
2022-11-23T01:32:32.7645509Z                 'obj_weakref': <weakref at 0x7f20682af240; to 'Tensor' at 0x7f1ffad8cc70>
2022-11-23T01:32:32.7645766Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7645837Z             }
2022-11-23T01:32:32.7645899Z             
2022-11-23T01:32:32.7645975Z  - 
2022-11-23T01:32:32.7646111Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7646179Z             {
2022-11-23T01:32:32.7646320Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7646494Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7646620Z                 'obj_weakref': None
2022-11-23T01:32:32.7646842Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7646912Z             }
2022-11-23T01:32:32.7647013Z             
2022-11-23T01:32:32.7647091Z  - 
2022-11-23T01:32:32.7647217Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7647286Z             {
2022-11-23T01:32:32.7647428Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7647642Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7647786Z                 'obj_weakref': None
2022-11-23T01:32:32.7648013Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7648081Z             }
2022-11-23T01:32:32.7648149Z             
2022-11-23T01:32:32.7648224Z  - 
2022-11-23T01:32:32.7648407Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7648469Z             {
2022-11-23T01:32:32.7648646Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7649275Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:32.7649404Z                 'obj_weakref': None
2022-11-23T01:32:32.7649630Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7649698Z             }
2022-11-23T01:32:32.7649767Z             
2022-11-23T01:32:32.7649844Z  - 
2022-11-23T01:32:32.7650025Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7650094Z             {
2022-11-23T01:32:32.7650242Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7650527Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:32.7650650Z                 'obj_weakref': None
2022-11-23T01:32:32.7650873Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7650941Z             }
2022-11-23T01:32:32.7651010Z             
2022-11-23T01:32:32.7651081Z  - 
2022-11-23T01:32:32.7651270Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7651340Z             {
2022-11-23T01:32:32.7651488Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7651770Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:32.7651895Z                 'obj_weakref': None
2022-11-23T01:32:32.7652116Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7652177Z             }
2022-11-23T01:32:32.7652246Z             
2022-11-23T01:32:32.7652322Z  - 
2022-11-23T01:32:32.7652512Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7652581Z             {
2022-11-23T01:32:32.7652729Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7653060Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:32.7653179Z                 'obj_weakref': None
2022-11-23T01:32:32.7653400Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7653469Z             }
2022-11-23T01:32:32.7653540Z             
2022-11-23T01:32:32.7653805Z [2022-11-23 01:30:54,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 863
2022-11-23T01:32:32.7654056Z [2022-11-23 01:30:54,124] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7654063Z 
2022-11-23T01:32:32.7654188Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7654264Z import torch
2022-11-23T01:32:32.7654332Z import random
2022-11-23T01:32:32.7654454Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7654583Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7654611Z 
2022-11-23T01:32:32.7654695Z aten = torch.ops.aten
2022-11-23T01:32:32.7654835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7654931Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7654936Z 
2022-11-23T01:32:32.7655011Z import triton
2022-11-23T01:32:32.7655096Z import triton.language as tl
2022-11-23T01:32:32.7655224Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7655367Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7655372Z 
2022-11-23T01:32:32.7655377Z 
2022-11-23T01:32:32.7655552Z triton_fused_add_1_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7655628Z import triton
2022-11-23T01:32:32.7655723Z import triton.language as tl
2022-11-23T01:32:32.7655838Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7655942Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7656070Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7656200Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7656205Z 
2022-11-23T01:32:32.7656597Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7656673Z @triton.jit
2022-11-23T01:32:32.7656817Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7656893Z     xnumel = 1000
2022-11-23T01:32:32.7656992Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7657124Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7657204Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7657276Z     x0 = xindex
2022-11-23T01:32:32.7657375Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7657474Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7657545Z     tmp1 = 1
2022-11-23T01:32:32.7657624Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7657710Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7657843Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7657929Z ''')
2022-11-23T01:32:32.7657935Z 
2022-11-23T01:32:32.7657939Z 
2022-11-23T01:32:32.7658033Z async_compile.wait(globals())
2022-11-23T01:32:32.7658110Z del async_compile
2022-11-23T01:32:32.7658116Z 
2022-11-23T01:32:32.7658192Z def call(args):
2022-11-23T01:32:32.7658275Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7658352Z     args.clear()
2022-11-23T01:32:32.7658549Z     buf0 = empty_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7658641Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7658985Z     triton_fused_add_1_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7659061Z     del arg0_1
2022-11-23T01:32:32.7659136Z     del arg1_1
2022-11-23T01:32:32.7659214Z     return (buf0, )
2022-11-23T01:32:32.7659219Z 
2022-11-23T01:32:32.7659227Z 
2022-11-23T01:32:32.7659307Z if __name__ == "__main__":
2022-11-23T01:32:32.7659429Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7659551Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7659771Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7659978Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7660099Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7660104Z 
2022-11-23T01:32:32.7660109Z 
2022-11-23T01:32:32.7660207Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7660281Z import torch
2022-11-23T01:32:32.7660403Z import random
2022-11-23T01:32:32.7660527Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7660647Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7660652Z 
2022-11-23T01:32:32.7660735Z aten = torch.ops.aten
2022-11-23T01:32:32.7660902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7660999Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7661004Z 
2022-11-23T01:32:32.7661079Z import triton
2022-11-23T01:32:32.7661173Z import triton.language as tl
2022-11-23T01:32:32.7661301Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7661436Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7661448Z 
2022-11-23T01:32:32.7661452Z 
2022-11-23T01:32:32.7661619Z triton_fused_add_view_add_10 = async_compile.triton('''
2022-11-23T01:32:32.7661694Z import triton
2022-11-23T01:32:32.7661787Z import triton.language as tl
2022-11-23T01:32:32.7661906Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7662009Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7662146Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7662272Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7662279Z 
2022-11-23T01:32:32.7662675Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7662742Z @triton.jit
2022-11-23T01:32:32.7662888Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7662964Z     xnumel = 1000
2022-11-23T01:32:32.7663063Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7663197Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7663281Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7663352Z     x0 = xindex
2022-11-23T01:32:32.7663466Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7663584Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7663655Z     tmp1 = 1
2022-11-23T01:32:32.7663735Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7663817Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7663956Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7664042Z ''')
2022-11-23T01:32:32.7664048Z 
2022-11-23T01:32:32.7664052Z 
2022-11-23T01:32:32.7664138Z async_compile.wait(globals())
2022-11-23T01:32:32.7664218Z del async_compile
2022-11-23T01:32:32.7664223Z 
2022-11-23T01:32:32.7664298Z def call(args):
2022-11-23T01:32:32.7664380Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7664456Z     args.clear()
2022-11-23T01:32:32.7664659Z     buf0 = empty_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7664751Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7664912Z     triton_fused_add_view_add_10.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7664979Z     del arg0_1
2022-11-23T01:32:32.7665053Z     del arg1_1
2022-11-23T01:32:32.7665131Z     return (buf0, )
2022-11-23T01:32:32.7665136Z 
2022-11-23T01:32:32.7665140Z 
2022-11-23T01:32:32.7665221Z if __name__ == "__main__":
2022-11-23T01:32:32.7665344Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7665472Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7665685Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7665881Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7666002Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7666007Z 
2022-11-23T01:32:32.7666012Z 
2022-11-23T01:32:32.7666111Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7666185Z import torch
2022-11-23T01:32:32.7666259Z import random
2022-11-23T01:32:32.7666421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7666549Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7666554Z 
2022-11-23T01:32:32.7666637Z aten = torch.ops.aten
2022-11-23T01:32:32.7666770Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7666892Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7666897Z 
2022-11-23T01:32:32.7666971Z import triton
2022-11-23T01:32:32.7667068Z import triton.language as tl
2022-11-23T01:32:32.7667197Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7667341Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7667346Z 
2022-11-23T01:32:32.7667351Z 
2022-11-23T01:32:32.7667516Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7667591Z import triton
2022-11-23T01:32:32.7667676Z import triton.language as tl
2022-11-23T01:32:32.7667791Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7667899Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7668034Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7668161Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7668166Z 
2022-11-23T01:32:32.7668553Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7668630Z @triton.jit
2022-11-23T01:32:32.7668776Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7668842Z     xnumel = 10
2022-11-23T01:32:32.7668941Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7669077Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7669161Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7669233Z     x0 = xindex
2022-11-23T01:32:32.7669331Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7669432Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7669504Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7669641Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7669726Z ''')
2022-11-23T01:32:32.7669732Z 
2022-11-23T01:32:32.7669740Z 
2022-11-23T01:32:32.7669833Z async_compile.wait(globals())
2022-11-23T01:32:32.7669911Z del async_compile
2022-11-23T01:32:32.7669916Z 
2022-11-23T01:32:32.7669991Z def call(args):
2022-11-23T01:32:32.7670071Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7670147Z     args.clear()
2022-11-23T01:32:32.7670420Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7670526Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7670693Z     triton_fused_view_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.7670780Z     del arg0_1
2022-11-23T01:32:32.7670867Z     del arg1_1
2022-11-23T01:32:32.7670958Z     return (buf0, )
2022-11-23T01:32:32.7670969Z 
2022-11-23T01:32:32.7670977Z 
2022-11-23T01:32:32.7671059Z if __name__ == "__main__":
2022-11-23T01:32:32.7671172Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7671299Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7671503Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7671711Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7671831Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7671836Z 
2022-11-23T01:32:32.7672204Z [2022-11-23 01:30:54,130] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgmfxlxsezhcr6evuk2d35e7crnm2bhtlzbecwatvyv4z2o555w.py
2022-11-23T01:32:32.7672473Z [2022-11-23 01:30:54,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 863
2022-11-23T01:32:32.7672748Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7673064Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7673277Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7673559Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7673837Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7674155Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7681416Z [2022-11-23 01:30:54,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7681790Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7682166Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7682270Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7682372Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7682453Z               4 BINARY_ADD
2022-11-23T01:32:32.7682548Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7682652Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7682748Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7682847Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7682935Z              14 BINARY_ADD
2022-11-23T01:32:32.7683051Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7683147Z              18 RETURN_VALUE
2022-11-23T01:32:32.7683221Z  
2022-11-23T01:32:32.7683226Z 
2022-11-23T01:32:32.7683543Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7683762Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7684005Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7684289Z [2022-11-23 01:30:54,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7684535Z [2022-11-23 01:30:54,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7684819Z [2022-11-23 01:30:54,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7685124Z [2022-11-23 01:30:54,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7685360Z [2022-11-23 01:30:54,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7685628Z [2022-11-23 01:30:54,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7685873Z [2022-11-23 01:30:54,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7686120Z [2022-11-23 01:30:54,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7686491Z [2022-11-23 01:30:54,138] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7686798Z [2022-11-23 01:30:54,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7687039Z [2022-11-23 01:30:54,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7687294Z [2022-11-23 01:30:54,140] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7687572Z [2022-11-23 01:30:54,144] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7687765Z [2022-11-23 01:30:54,145] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7687902Z  __compiled_fn_882 <eval_with_key>.5422 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7687997Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7688092Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7688269Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7688379Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T01:32:32.7688566Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7688670Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7688676Z 
2022-11-23T01:32:32.7689006Z [2022-11-23 01:30:54,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7689104Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7689204Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7689297Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7689399Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7689495Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7689591Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7689673Z              12 RETURN_VALUE
2022-11-23T01:32:32.7689678Z 
2022-11-23T01:32:32.7689745Z  
2022-11-23T01:32:32.7690058Z [2022-11-23 01:30:54,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7690180Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_882)
2022-11-23T01:32:32.7690278Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7690376Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7690463Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7690563Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7690658Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7690733Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7690827Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7690941Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7691081Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7691185Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7691280Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7691387Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7691490Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7691589Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7691670Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7691769Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7691871Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7691980Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7692077Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7692160Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7692264Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7692363Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7692469Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7692568Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7692679Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7692791Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7692874Z              54 RETURN_VALUE
2022-11-23T01:32:32.7692879Z 
2022-11-23T01:32:32.7692939Z  
2022-11-23T01:32:32.7693133Z [2022-11-23 01:30:54,147] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7693264Z  - 
2022-11-23T01:32:32.7693392Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7693464Z             {
2022-11-23T01:32:32.7693611Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7693804Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7693921Z                 'obj_weakref': None
2022-11-23T01:32:32.7694151Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7694223Z             }
2022-11-23T01:32:32.7694292Z             
2022-11-23T01:32:32.7694368Z  - 
2022-11-23T01:32:32.7694503Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7694572Z             {
2022-11-23T01:32:32.7694714Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7694825Z                 'code': None,
2022-11-23T01:32:32.7695040Z                 'obj_weakref': <weakref at 0x7f1fd82ef9c0; to 'Tensor' at 0x7f202337a4d0>
2022-11-23T01:32:32.7695299Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7695371Z             }
2022-11-23T01:32:32.7695441Z             
2022-11-23T01:32:32.7695518Z  - 
2022-11-23T01:32:32.7695640Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7695709Z             {
2022-11-23T01:32:32.7695859Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7695973Z                 'code': None,
2022-11-23T01:32:32.7696192Z                 'obj_weakref': <weakref at 0x7f1fd82ee0c0; to 'Tensor' at 0x7f1f25b58310>
2022-11-23T01:32:32.7696447Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7696521Z             }
2022-11-23T01:32:32.7696582Z             
2022-11-23T01:32:32.7696660Z  - 
2022-11-23T01:32:32.7696798Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7696868Z             {
2022-11-23T01:32:32.7697014Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7697192Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7697317Z                 'obj_weakref': None
2022-11-23T01:32:32.7697541Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7697612Z             }
2022-11-23T01:32:32.7697684Z             
2022-11-23T01:32:32.7697761Z  - 
2022-11-23T01:32:32.7697888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7697956Z             {
2022-11-23T01:32:32.7698098Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7698312Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7698437Z                 'obj_weakref': None
2022-11-23T01:32:32.7698666Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7698740Z             }
2022-11-23T01:32:32.7699030Z             
2022-11-23T01:32:32.7699111Z  - 
2022-11-23T01:32:32.7699298Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7699362Z             {
2022-11-23T01:32:32.7699536Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7700216Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:32.7700346Z                 'obj_weakref': None
2022-11-23T01:32:32.7700574Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7700644Z             }
2022-11-23T01:32:32.7700742Z             
2022-11-23T01:32:32.7700820Z  - 
2022-11-23T01:32:32.7701003Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7701074Z             {
2022-11-23T01:32:32.7701222Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7701508Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:32.7701633Z                 'obj_weakref': None
2022-11-23T01:32:32.7701860Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7701931Z             }
2022-11-23T01:32:32.7702001Z             
2022-11-23T01:32:32.7702074Z  - 
2022-11-23T01:32:32.7702266Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7702337Z             {
2022-11-23T01:32:32.7702485Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7702800Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:32.7702951Z                 'obj_weakref': None
2022-11-23T01:32:32.7703172Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7703235Z             }
2022-11-23T01:32:32.7703310Z             
2022-11-23T01:32:32.7703387Z  - 
2022-11-23T01:32:32.7703575Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7703645Z             {
2022-11-23T01:32:32.7703792Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7704077Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:32.7704195Z                 'obj_weakref': None
2022-11-23T01:32:32.7704419Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7704493Z             }
2022-11-23T01:32:32.7704563Z             
2022-11-23T01:32:32.7704833Z [2022-11-23 01:30:54,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 864
2022-11-23T01:32:32.7705089Z [2022-11-23 01:30:54,157] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7705465Z [2022-11-23 01:30:54,164] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ip/cipbm22iduldsydj2yi5yuega3jsszjwlzpticv4jowf3kc63eun.py
2022-11-23T01:32:32.7705734Z [2022-11-23 01:30:54,164] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 864
2022-11-23T01:32:32.7705969Z [2022-11-23 01:30:54,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7706286Z [2022-11-23 01:30:54,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7706509Z [2022-11-23 01:30:54,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7706765Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7707042Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7707364Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7707739Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7708061Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7708435Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7708557Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7708649Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7708731Z               4 BINARY_ADD
2022-11-23T01:32:32.7708833Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7708934Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7709028Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7709128Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7709208Z              14 BINARY_ADD
2022-11-23T01:32:32.7709300Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7709384Z              18 RETURN_VALUE
2022-11-23T01:32:32.7709452Z  
2022-11-23T01:32:32.7709458Z 
2022-11-23T01:32:32.7709774Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7709992Z [2022-11-23 01:30:54,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7710236Z [2022-11-23 01:30:54,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7710622Z [2022-11-23 01:30:54,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7710868Z [2022-11-23 01:30:54,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7711151Z [2022-11-23 01:30:54,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7711445Z [2022-11-23 01:30:54,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7711689Z [2022-11-23 01:30:54,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7711970Z [2022-11-23 01:30:54,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7712220Z [2022-11-23 01:30:54,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7712473Z [2022-11-23 01:30:54,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7712853Z [2022-11-23 01:30:54,172] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7713108Z [2022-11-23 01:30:54,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7713351Z [2022-11-23 01:30:54,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7713611Z [2022-11-23 01:30:54,173] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7713874Z [2022-11-23 01:30:54,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7714063Z [2022-11-23 01:30:54,177] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7714206Z  __compiled_fn_883 <eval_with_key>.5428 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7714302Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7714398Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7714578Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7714721Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T01:32:32.7714911Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7715006Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7715020Z 
2022-11-23T01:32:32.7715346Z [2022-11-23 01:30:54,177] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7715471Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7715572Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7715666Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7715767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7715862Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7715958Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7716032Z              12 RETURN_VALUE
2022-11-23T01:32:32.7716047Z 
2022-11-23T01:32:32.7716107Z  
2022-11-23T01:32:32.7716430Z [2022-11-23 01:30:54,178] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7716549Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_883)
2022-11-23T01:32:32.7716647Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7716747Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7716831Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7716928Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7717017Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7717100Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7717195Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7717309Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7717449Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7717555Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7717657Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7717754Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7717864Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7717961Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7718045Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7718141Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7718242Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7718349Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7718438Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7718520Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7718631Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7718730Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7718837Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7718937Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7719020Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7719133Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7719207Z              54 RETURN_VALUE
2022-11-23T01:32:32.7719213Z 
2022-11-23T01:32:32.7719284Z  
2022-11-23T01:32:32.7719474Z [2022-11-23 01:30:54,179] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7719552Z  - 
2022-11-23T01:32:32.7719680Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7719751Z             {
2022-11-23T01:32:32.7719897Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7720081Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7720207Z                 'obj_weakref': None
2022-11-23T01:32:32.7720435Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7720507Z             }
2022-11-23T01:32:32.7720576Z             
2022-11-23T01:32:32.7720693Z  - 
2022-11-23T01:32:32.7720824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7720886Z             {
2022-11-23T01:32:32.7721034Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7721147Z                 'code': None,
2022-11-23T01:32:32.7721386Z                 'obj_weakref': <weakref at 0x7f1f36112520; to 'Tensor' at 0x7f2151f03fb0>
2022-11-23T01:32:32.7721643Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7721714Z             }
2022-11-23T01:32:32.7721787Z             
2022-11-23T01:32:32.7721856Z  - 
2022-11-23T01:32:32.7721983Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7722057Z             {
2022-11-23T01:32:32.7722209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7722323Z                 'code': None,
2022-11-23T01:32:32.7722539Z                 'obj_weakref': <weakref at 0x7f20682aed90; to 'Tensor' at 0x7f201e6f8810>
2022-11-23T01:32:32.7722796Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7722859Z             }
2022-11-23T01:32:32.7722929Z             
2022-11-23T01:32:32.7723022Z  - 
2022-11-23T01:32:32.7723179Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7723266Z             {
2022-11-23T01:32:32.7723409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7723586Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7723704Z                 'obj_weakref': None
2022-11-23T01:32:32.7723938Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7724008Z             }
2022-11-23T01:32:32.7724078Z             
2022-11-23T01:32:32.7724156Z  - 
2022-11-23T01:32:32.7724286Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7724358Z             {
2022-11-23T01:32:32.7724493Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7724718Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7724842Z                 'obj_weakref': None
2022-11-23T01:32:32.7725069Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7725141Z             }
2022-11-23T01:32:32.7725210Z             
2022-11-23T01:32:32.7725288Z  - 
2022-11-23T01:32:32.7725465Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7725537Z             {
2022-11-23T01:32:32.7725714Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7726338Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:32.7726467Z                 'obj_weakref': None
2022-11-23T01:32:32.7726696Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7726767Z             }
2022-11-23T01:32:32.7726837Z             
2022-11-23T01:32:32.7726906Z  - 
2022-11-23T01:32:32.7727095Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7727167Z             {
2022-11-23T01:32:32.7727320Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7727605Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:32.7727731Z                 'obj_weakref': None
2022-11-23T01:32:32.7727951Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7728068Z             }
2022-11-23T01:32:32.7728132Z             
2022-11-23T01:32:32.7728209Z  - 
2022-11-23T01:32:32.7728400Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7728469Z             {
2022-11-23T01:32:32.7728625Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7728938Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:32.7729065Z                 'obj_weakref': None
2022-11-23T01:32:32.7729279Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7729350Z             }
2022-11-23T01:32:32.7729421Z             
2022-11-23T01:32:32.7729501Z  - 
2022-11-23T01:32:32.7729693Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7729763Z             {
2022-11-23T01:32:32.7729912Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7730190Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:32.7730318Z                 'obj_weakref': None
2022-11-23T01:32:32.7730544Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7730620Z             }
2022-11-23T01:32:32.7730689Z             
2022-11-23T01:32:32.7730957Z [2022-11-23 01:30:54,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 865
2022-11-23T01:32:32.7731213Z [2022-11-23 01:30:54,190] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7731583Z [2022-11-23 01:30:54,196] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bn/cbnqqmuzskpyzetzau6yrivbqxtl4e7u3t3xf3vd3h4hjzh4uxgk.py
2022-11-23T01:32:32.7731852Z [2022-11-23 01:30:54,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 865
2022-11-23T01:32:32.7732097Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7732417Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7732648Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7732932Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7733239Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7733563Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7733912Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7734240Z [2022-11-23 01:30:54,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7734622Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7734716Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7734819Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7734923Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7735019Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7735117Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7735197Z              10 BINARY_ADD
2022-11-23T01:32:32.7735295Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7735401Z              14 RETURN_VALUE
2022-11-23T01:32:32.7735472Z  
2022-11-23T01:32:32.7735478Z 
2022-11-23T01:32:32.7735799Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7736040Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7736292Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7736579Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7736883Z [2022-11-23 01:30:54,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7737128Z [2022-11-23 01:30:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7737408Z [2022-11-23 01:30:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7737656Z [2022-11-23 01:30:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7737905Z [2022-11-23 01:30:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7738290Z [2022-11-23 01:30:54,203] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7738547Z [2022-11-23 01:30:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7738982Z [2022-11-23 01:30:54,203] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7739254Z [2022-11-23 01:30:54,205] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7739511Z [2022-11-23 01:30:54,208] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7739707Z [2022-11-23 01:30:54,208] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7739856Z  __compiled_fn_884 <eval_with_key>.5434 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7739954Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7740040Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7740156Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:32.7740346Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7740451Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7740456Z 
2022-11-23T01:32:32.7740787Z [2022-11-23 01:30:54,209] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7740891Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7740989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7741076Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7741179Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7741277Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7741374Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7741461Z              12 RETURN_VALUE
2022-11-23T01:32:32.7741466Z 
2022-11-23T01:32:32.7741537Z  
2022-11-23T01:32:32.7741855Z [2022-11-23 01:30:54,209] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7741975Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_884)
2022-11-23T01:32:32.7742066Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7742164Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7742247Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7742391Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7742488Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7742573Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7742670Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7742804Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7742944Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7743050Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7743147Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7743252Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7743369Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7743467Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7743551Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7743639Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7743741Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7743848Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7743946Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7744032Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7744148Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7744248Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7744345Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7744442Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7744525Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7744634Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7744716Z              54 RETURN_VALUE
2022-11-23T01:32:32.7744721Z 
2022-11-23T01:32:32.7744787Z  
2022-11-23T01:32:32.7744979Z [2022-11-23 01:30:54,210] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7745048Z  - 
2022-11-23T01:32:32.7745180Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7745250Z             {
2022-11-23T01:32:32.7745398Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7745589Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7745718Z                 'obj_weakref': None
2022-11-23T01:32:32.7745943Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7746007Z             }
2022-11-23T01:32:32.7746077Z             
2022-11-23T01:32:32.7746158Z  - 
2022-11-23T01:32:32.7746289Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7746358Z             {
2022-11-23T01:32:32.7746507Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7746621Z                 'code': None,
2022-11-23T01:32:32.7746829Z                 'obj_weakref': <weakref at 0x7f1f25b4ce00; to 'Tensor' at 0x7f1ffad2db20>
2022-11-23T01:32:32.7747088Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7747161Z             }
2022-11-23T01:32:32.7747231Z             
2022-11-23T01:32:32.7747311Z  - 
2022-11-23T01:32:32.7747441Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7747514Z             {
2022-11-23T01:32:32.7747655Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7747768Z                 'code': None,
2022-11-23T01:32:32.7747984Z                 'obj_weakref': <weakref at 0x7f1f29a92840; to 'Tensor' at 0x7f1feacef6a0>
2022-11-23T01:32:32.7748237Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7748308Z             }
2022-11-23T01:32:32.7748378Z             
2022-11-23T01:32:32.7748455Z  - 
2022-11-23T01:32:32.7748583Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7748654Z             {
2022-11-23T01:32:32.7748796Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7749006Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7749131Z                 'obj_weakref': None
2022-11-23T01:32:32.7749362Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7749459Z             }
2022-11-23T01:32:32.7749520Z             
2022-11-23T01:32:32.7749600Z  - 
2022-11-23T01:32:32.7749728Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7749799Z             {
2022-11-23T01:32:32.7749943Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7750164Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7750361Z                 'obj_weakref': None
2022-11-23T01:32:32.7750599Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7750670Z             }
2022-11-23T01:32:32.7750737Z             
2022-11-23T01:32:32.7750813Z  - 
2022-11-23T01:32:32.7750998Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7751068Z             {
2022-11-23T01:32:32.7751239Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7752029Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:32.7752156Z                 'obj_weakref': None
2022-11-23T01:32:32.7752369Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7752441Z             }
2022-11-23T01:32:32.7752512Z             
2022-11-23T01:32:32.7752589Z  - 
2022-11-23T01:32:32.7752777Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7752847Z             {
2022-11-23T01:32:32.7752998Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7753271Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.7753393Z                 'obj_weakref': None
2022-11-23T01:32:32.7753612Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7753681Z             }
2022-11-23T01:32:32.7753748Z             
2022-11-23T01:32:32.7753824Z  - 
2022-11-23T01:32:32.7754013Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7754074Z             {
2022-11-23T01:32:32.7754224Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7754504Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:32.7754628Z                 'obj_weakref': None
2022-11-23T01:32:32.7754850Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7754919Z             }
2022-11-23T01:32:32.7754989Z             
2022-11-23T01:32:32.7755056Z  - 
2022-11-23T01:32:32.7755242Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7755311Z             {
2022-11-23T01:32:32.7755457Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7755738Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:32.7755861Z                 'obj_weakref': None
2022-11-23T01:32:32.7756118Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7756189Z             }
2022-11-23T01:32:32.7756250Z             
2022-11-23T01:32:32.7756328Z  - 
2022-11-23T01:32:32.7756515Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7756608Z             {
2022-11-23T01:32:32.7756754Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7757033Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:32.7757161Z                 'obj_weakref': None
2022-11-23T01:32:32.7757369Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7757439Z             }
2022-11-23T01:32:32.7757508Z             
2022-11-23T01:32:32.7757582Z  - 
2022-11-23T01:32:32.7757769Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.7757843Z             {
2022-11-23T01:32:32.7757988Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7758256Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:32.7758381Z                 'obj_weakref': None
2022-11-23T01:32:32.7758598Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7758667Z             }
2022-11-23T01:32:32.7758736Z             
2022-11-23T01:32:32.7759005Z [2022-11-23 01:30:54,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 866
2022-11-23T01:32:32.7759258Z [2022-11-23 01:30:54,222] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7759264Z 
2022-11-23T01:32:32.7759363Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7759429Z import torch
2022-11-23T01:32:32.7759506Z import random
2022-11-23T01:32:32.7759632Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7759763Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7759769Z 
2022-11-23T01:32:32.7759851Z aten = torch.ops.aten
2022-11-23T01:32:32.7759993Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7760093Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7760099Z 
2022-11-23T01:32:32.7760171Z import triton
2022-11-23T01:32:32.7760257Z import triton.language as tl
2022-11-23T01:32:32.7760387Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7760533Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7760539Z 
2022-11-23T01:32:32.7760543Z 
2022-11-23T01:32:32.7760707Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7760782Z import triton
2022-11-23T01:32:32.7760875Z import triton.language as tl
2022-11-23T01:32:32.7760991Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7761088Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7761226Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7761357Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7761362Z 
2022-11-23T01:32:32.7761750Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7761830Z @triton.jit
2022-11-23T01:32:32.7761976Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7762052Z     xnumel = 10
2022-11-23T01:32:32.7762151Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7762276Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7762361Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7762432Z     x0 = xindex
2022-11-23T01:32:32.7762584Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7762706Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7762789Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7762936Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7763056Z ''')
2022-11-23T01:32:32.7763074Z 
2022-11-23T01:32:32.7763079Z 
2022-11-23T01:32:32.7763183Z async_compile.wait(globals())
2022-11-23T01:32:32.7763267Z del async_compile
2022-11-23T01:32:32.7763272Z 
2022-11-23T01:32:32.7763348Z def call(args):
2022-11-23T01:32:32.7763427Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7763504Z     args.clear()
2022-11-23T01:32:32.7763715Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7763808Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7763951Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.7764026Z     del arg0_1
2022-11-23T01:32:32.7764099Z     del arg1_1
2022-11-23T01:32:32.7764179Z     return (buf0, )
2022-11-23T01:32:32.7764185Z 
2022-11-23T01:32:32.7764189Z 
2022-11-23T01:32:32.7764275Z if __name__ == "__main__":
2022-11-23T01:32:32.7764395Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7764527Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7764730Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7764931Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7765055Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7765061Z 
2022-11-23T01:32:32.7765066Z 
2022-11-23T01:32:32.7765163Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7765238Z import torch
2022-11-23T01:32:32.7765313Z import random
2022-11-23T01:32:32.7765433Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7765561Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7765566Z 
2022-11-23T01:32:32.7765652Z aten = torch.ops.aten
2022-11-23T01:32:32.7765784Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7765880Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7765885Z 
2022-11-23T01:32:32.7765963Z import triton
2022-11-23T01:32:32.7766059Z import triton.language as tl
2022-11-23T01:32:32.7766187Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7766331Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7766337Z 
2022-11-23T01:32:32.7766341Z 
2022-11-23T01:32:32.7766513Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.7766581Z import triton
2022-11-23T01:32:32.7766675Z import triton.language as tl
2022-11-23T01:32:32.7766795Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7766899Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7767035Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7767164Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7767170Z 
2022-11-23T01:32:32.7767557Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7767634Z @triton.jit
2022-11-23T01:32:32.7767771Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7767846Z     xnumel = 10
2022-11-23T01:32:32.7767944Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7768078Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7768164Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7768241Z     x0 = xindex
2022-11-23T01:32:32.7768341Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7768430Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7768502Z     tmp1 = 1
2022-11-23T01:32:32.7768582Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7768699Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7768840Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7768927Z ''')
2022-11-23T01:32:32.7768932Z 
2022-11-23T01:32:32.7768937Z 
2022-11-23T01:32:32.7769032Z async_compile.wait(globals())
2022-11-23T01:32:32.7769132Z del async_compile
2022-11-23T01:32:32.7769137Z 
2022-11-23T01:32:32.7769204Z def call(args):
2022-11-23T01:32:32.7769287Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7769363Z     args.clear()
2022-11-23T01:32:32.7769574Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7769668Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7769822Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.7769895Z     del arg0_1
2022-11-23T01:32:32.7769960Z     del arg1_1
2022-11-23T01:32:32.7770038Z     return (buf0, )
2022-11-23T01:32:32.7770043Z 
2022-11-23T01:32:32.7770047Z 
2022-11-23T01:32:32.7770134Z if __name__ == "__main__":
2022-11-23T01:32:32.7770256Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7770385Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7770585Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7770791Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7770913Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7770918Z 
2022-11-23T01:32:32.7770922Z 
2022-11-23T01:32:32.7771014Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7771089Z import torch
2022-11-23T01:32:32.7771165Z import random
2022-11-23T01:32:32.7771368Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7771496Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7771501Z 
2022-11-23T01:32:32.7771583Z aten = torch.ops.aten
2022-11-23T01:32:32.7771727Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7771823Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7771829Z 
2022-11-23T01:32:32.7771896Z import triton
2022-11-23T01:32:32.7771988Z import triton.language as tl
2022-11-23T01:32:32.7772116Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7772263Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7772268Z 
2022-11-23T01:32:32.7772273Z 
2022-11-23T01:32:32.7772444Z triton_fused_add_add_1_view0 = async_compile.triton('''
2022-11-23T01:32:32.7772520Z import triton
2022-11-23T01:32:32.7772613Z import triton.language as tl
2022-11-23T01:32:32.7772722Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7772826Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7772982Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7773127Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7773133Z 
2022-11-23T01:32:32.7773528Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7773603Z @triton.jit
2022-11-23T01:32:32.7773751Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7773825Z     xnumel = 10
2022-11-23T01:32:32.7773930Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7774101Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7774228Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7774303Z     x0 = xindex
2022-11-23T01:32:32.7774425Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7774544Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7774617Z     tmp1 = 1
2022-11-23T01:32:32.7774689Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7774770Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7774945Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7775057Z ''')
2022-11-23T01:32:32.7775062Z 
2022-11-23T01:32:32.7775067Z 
2022-11-23T01:32:32.7775161Z async_compile.wait(globals())
2022-11-23T01:32:32.7775239Z del async_compile
2022-11-23T01:32:32.7775268Z 
2022-11-23T01:32:32.7775344Z def call(args):
2022-11-23T01:32:32.7775425Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7775493Z     args.clear()
2022-11-23T01:32:32.7775704Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7775796Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7775952Z     triton_fused_add_add_1_view0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:32.7776024Z     del arg0_1
2022-11-23T01:32:32.7776098Z     del arg1_1
2022-11-23T01:32:32.7776175Z     return (buf0, )
2022-11-23T01:32:32.7776181Z 
2022-11-23T01:32:32.7776185Z 
2022-11-23T01:32:32.7776258Z if __name__ == "__main__":
2022-11-23T01:32:32.7776381Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7776507Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7776705Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7776912Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7777034Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7777039Z 
2022-11-23T01:32:32.7777413Z [2022-11-23 01:30:54,229] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gs/cgsazxgkatdvgd5djyxpesagcbamdcvs3jgbwwuvokcv4rf3yv6m.py
2022-11-23T01:32:32.7777681Z [2022-11-23 01:30:54,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 866
2022-11-23T01:32:32.7777921Z [2022-11-23 01:30:54,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7778227Z [2022-11-23 01:30:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7778448Z [2022-11-23 01:30:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7778702Z [2022-11-23 01:30:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7779338Z [2022-11-23 01:30:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7779658Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7779997Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7780320Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7780692Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7780802Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7780904Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7780996Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7781091Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7781187Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7781266Z              10 BINARY_ADD
2022-11-23T01:32:32.7781363Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7781445Z              14 RETURN_VALUE
2022-11-23T01:32:32.7781513Z  
2022-11-23T01:32:32.7781519Z 
2022-11-23T01:32:32.7781877Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7782095Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7782341Z [2022-11-23 01:30:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7782653Z [2022-11-23 01:30:54,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7782952Z [2022-11-23 01:30:54,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7783222Z [2022-11-23 01:30:54,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7783513Z [2022-11-23 01:30:54,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7783762Z [2022-11-23 01:30:54,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7784012Z [2022-11-23 01:30:54,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7784385Z [2022-11-23 01:30:54,236] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7784631Z [2022-11-23 01:30:54,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7784873Z [2022-11-23 01:30:54,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7785133Z [2022-11-23 01:30:54,237] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7785384Z [2022-11-23 01:30:54,240] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7785585Z [2022-11-23 01:30:54,241] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7785730Z  __compiled_fn_885 <eval_with_key>.5440 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7785829Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7785923Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7786032Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:32.7786219Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7786318Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7786324Z 
2022-11-23T01:32:32.7786655Z [2022-11-23 01:30:54,241] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7786755Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7786854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7786949Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7787051Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7787136Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7787232Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7787315Z              12 RETURN_VALUE
2022-11-23T01:32:32.7787320Z 
2022-11-23T01:32:32.7787387Z  
2022-11-23T01:32:32.7787715Z [2022-11-23 01:30:54,241] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7787834Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_885)
2022-11-23T01:32:32.7787932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7788029Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7788104Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7788199Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7788291Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7788378Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7788501Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7788616Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7788754Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7788851Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7788968Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7789072Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7789186Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7789282Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7789364Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7789457Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7789548Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7789653Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7789749Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7789831Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7789945Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7790041Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7790146Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7790243Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7790399Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7790526Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7790616Z              54 RETURN_VALUE
2022-11-23T01:32:32.7790622Z 
2022-11-23T01:32:32.7790688Z  
2022-11-23T01:32:32.7790880Z [2022-11-23 01:30:54,243] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7790957Z  - 
2022-11-23T01:32:32.7791082Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7791144Z             {
2022-11-23T01:32:32.7791292Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7791488Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7791614Z                 'obj_weakref': None
2022-11-23T01:32:32.7791840Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7791910Z             }
2022-11-23T01:32:32.7791982Z             
2022-11-23T01:32:32.7792051Z  - 
2022-11-23T01:32:32.7792181Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7792248Z             {
2022-11-23T01:32:32.7792398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7792510Z                 'code': None,
2022-11-23T01:32:32.7792726Z                 'obj_weakref': <weakref at 0x7f1fd8ccd530; to 'Tensor' at 0x7f20727a5990>
2022-11-23T01:32:32.7793028Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7793090Z             }
2022-11-23T01:32:32.7793158Z             
2022-11-23T01:32:32.7793234Z  - 
2022-11-23T01:32:32.7793363Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7793432Z             {
2022-11-23T01:32:32.7793579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7793692Z                 'code': None,
2022-11-23T01:32:32.7793901Z                 'obj_weakref': <weakref at 0x7f1fd97b9440; to 'Tensor' at 0x7f1fead93e70>
2022-11-23T01:32:32.7794155Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7794226Z             }
2022-11-23T01:32:32.7794295Z             
2022-11-23T01:32:32.7794373Z  - 
2022-11-23T01:32:32.7794512Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7794583Z             {
2022-11-23T01:32:32.7794717Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7794896Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7795023Z                 'obj_weakref': None
2022-11-23T01:32:32.7795299Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7795371Z             }
2022-11-23T01:32:32.7795441Z             
2022-11-23T01:32:32.7795520Z  - 
2022-11-23T01:32:32.7795641Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7795711Z             {
2022-11-23T01:32:32.7795879Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7796109Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7796234Z                 'obj_weakref': None
2022-11-23T01:32:32.7796465Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7796537Z             }
2022-11-23T01:32:32.7796599Z             
2022-11-23T01:32:32.7796676Z  - 
2022-11-23T01:32:32.7796865Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7796936Z             {
2022-11-23T01:32:32.7797113Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7797927Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:32.7798062Z                 'obj_weakref': None
2022-11-23T01:32:32.7798284Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7798356Z             }
2022-11-23T01:32:32.7798418Z             
2022-11-23T01:32:32.7798497Z  - 
2022-11-23T01:32:32.7798687Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7798762Z             {
2022-11-23T01:32:32.7798912Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7799193Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.7799321Z                 'obj_weakref': None
2022-11-23T01:32:32.7799534Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7799604Z             }
2022-11-23T01:32:32.7799675Z             
2022-11-23T01:32:32.7799754Z  - 
2022-11-23T01:32:32.7799944Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7800017Z             {
2022-11-23T01:32:32.7800165Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7800441Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:32.7800569Z                 'obj_weakref': None
2022-11-23T01:32:32.7800790Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7800859Z             }
2022-11-23T01:32:32.7800930Z             
2022-11-23T01:32:32.7801009Z  - 
2022-11-23T01:32:32.7801200Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7801263Z             {
2022-11-23T01:32:32.7801410Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7801695Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:32.7801820Z                 'obj_weakref': None
2022-11-23T01:32:32.7802040Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7802112Z             }
2022-11-23T01:32:32.7802182Z             
2022-11-23T01:32:32.7802252Z  - 
2022-11-23T01:32:32.7802492Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7802564Z             {
2022-11-23T01:32:32.7802727Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7803041Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:32.7803187Z                 'obj_weakref': None
2022-11-23T01:32:32.7803407Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7803479Z             }
2022-11-23T01:32:32.7803541Z             
2022-11-23T01:32:32.7803617Z  - 
2022-11-23T01:32:32.7803806Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.7803877Z             {
2022-11-23T01:32:32.7804024Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7804306Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:32.7804429Z                 'obj_weakref': None
2022-11-23T01:32:32.7804637Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7804708Z             }
2022-11-23T01:32:32.7804780Z             
2022-11-23T01:32:32.7805044Z [2022-11-23 01:30:54,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 867
2022-11-23T01:32:32.7805298Z [2022-11-23 01:30:54,252] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7805667Z [2022-11-23 01:30:54,258] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/co/ccozw5xvsk77sda43vgkznsjyiyrj3tbtptgo4kfxhfgeqqnr36n.py
2022-11-23T01:32:32.7805939Z [2022-11-23 01:30:54,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 867
2022-11-23T01:32:32.7806186Z [2022-11-23 01:30:54,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7806504Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7806721Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7806986Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7807272Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7807598Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7807945Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7808277Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7808654Z [2022-11-23 01:30:54,262] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7808758Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7808859Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7808933Z               4 BINARY_ADD
2022-11-23T01:32:32.7809036Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7809139Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7809235Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7809334Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7809415Z              14 BINARY_ADD
2022-11-23T01:32:32.7809514Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7809615Z              18 RETURN_VALUE
2022-11-23T01:32:32.7809683Z  
2022-11-23T01:32:32.7809689Z 
2022-11-23T01:32:32.7810011Z [2022-11-23 01:30:54,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7810250Z [2022-11-23 01:30:54,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7810496Z [2022-11-23 01:30:54,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7810784Z [2022-11-23 01:30:54,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7811033Z [2022-11-23 01:30:54,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7811319Z [2022-11-23 01:30:54,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7811630Z [2022-11-23 01:30:54,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7811871Z [2022-11-23 01:30:54,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7812142Z [2022-11-23 01:30:54,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7812391Z [2022-11-23 01:30:54,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7812641Z [2022-11-23 01:30:54,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7813021Z [2022-11-23 01:30:54,265] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7813280Z [2022-11-23 01:30:54,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7813520Z [2022-11-23 01:30:54,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7813782Z [2022-11-23 01:30:54,268] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7814043Z [2022-11-23 01:30:54,271] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7814236Z [2022-11-23 01:30:54,271] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7814373Z  __compiled_fn_886 <eval_with_key>.5446 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7814473Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7814568Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7814748Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7814864Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:32.7815051Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7815154Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7815159Z 
2022-11-23T01:32:32.7815484Z [2022-11-23 01:30:54,272] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7815580Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7815681Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7815776Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7815880Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7815974Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7816070Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7816155Z              12 RETURN_VALUE
2022-11-23T01:32:32.7816161Z 
2022-11-23T01:32:32.7816220Z  
2022-11-23T01:32:32.7816572Z [2022-11-23 01:30:54,272] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7816696Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_886)
2022-11-23T01:32:32.7816795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7816895Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7817001Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7817098Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7817196Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7817271Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7817367Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7817485Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7817625Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7817731Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7817826Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7817931Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7818035Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7818133Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7818216Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7818315Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7818415Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7818522Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7818619Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7818693Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7818925Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7819025Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7819129Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7819227Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7819312Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7819424Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7819506Z              54 RETURN_VALUE
2022-11-23T01:32:32.7819512Z 
2022-11-23T01:32:32.7819571Z  
2022-11-23T01:32:32.7819765Z [2022-11-23 01:30:54,273] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7819848Z  - 
2022-11-23T01:32:32.7819975Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7820045Z             {
2022-11-23T01:32:32.7820192Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7820384Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7820501Z                 'obj_weakref': None
2022-11-23T01:32:32.7820731Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7820802Z             }
2022-11-23T01:32:32.7820872Z             
2022-11-23T01:32:32.7820950Z  - 
2022-11-23T01:32:32.7821084Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7821158Z             {
2022-11-23T01:32:32.7821299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7821415Z                 'code': None,
2022-11-23T01:32:32.7821634Z                 'obj_weakref': <weakref at 0x7f1fd80ee8e0; to 'Tensor' at 0x7f1f29a91210>
2022-11-23T01:32:32.7821893Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7821965Z             }
2022-11-23T01:32:32.7822036Z             
2022-11-23T01:32:32.7822114Z  - 
2022-11-23T01:32:32.7822236Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7822307Z             {
2022-11-23T01:32:32.7822456Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7822569Z                 'code': None,
2022-11-23T01:32:32.7822786Z                 'obj_weakref': <weakref at 0x7f1fd80ec7c0; to 'Tensor' at 0x7f20727a5990>
2022-11-23T01:32:32.7823083Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7823156Z             }
2022-11-23T01:32:32.7823219Z             
2022-11-23T01:32:32.7823297Z  - 
2022-11-23T01:32:32.7823435Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7823510Z             {
2022-11-23T01:32:32.7823682Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7823859Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7823987Z                 'obj_weakref': None
2022-11-23T01:32:32.7824214Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7824287Z             }
2022-11-23T01:32:32.7824356Z             
2022-11-23T01:32:32.7824435Z  - 
2022-11-23T01:32:32.7824565Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7824636Z             {
2022-11-23T01:32:32.7824780Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7824999Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7825124Z                 'obj_weakref': None
2022-11-23T01:32:32.7825355Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7825428Z             }
2022-11-23T01:32:32.7825499Z             
2022-11-23T01:32:32.7825576Z  - 
2022-11-23T01:32:32.7825764Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7825827Z             {
2022-11-23T01:32:32.7826005Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7826812Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:32.7826940Z                 'obj_weakref': None
2022-11-23T01:32:32.7827167Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7827239Z             }
2022-11-23T01:32:32.7827310Z             
2022-11-23T01:32:32.7827390Z  - 
2022-11-23T01:32:32.7827583Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7827646Z             {
2022-11-23T01:32:32.7827797Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7828079Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.7828204Z                 'obj_weakref': None
2022-11-23T01:32:32.7828425Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7828497Z             }
2022-11-23T01:32:32.7828566Z             
2022-11-23T01:32:32.7828636Z  - 
2022-11-23T01:32:32.7828826Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7828903Z             {
2022-11-23T01:32:32.7829055Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7829336Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:32.7829462Z                 'obj_weakref': None
2022-11-23T01:32:32.7829682Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7829745Z             }
2022-11-23T01:32:32.7829817Z             
2022-11-23T01:32:32.7829894Z  - 
2022-11-23T01:32:32.7830084Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7830181Z             {
2022-11-23T01:32:32.7830401Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7830695Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:32.7830851Z                 'obj_weakref': None
2022-11-23T01:32:32.7831063Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7831134Z             }
2022-11-23T01:32:32.7831205Z             
2022-11-23T01:32:32.7831282Z  - 
2022-11-23T01:32:32.7831472Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7831544Z             {
2022-11-23T01:32:32.7831683Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7831964Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:32.7832092Z                 'obj_weakref': None
2022-11-23T01:32:32.7832341Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7832427Z             }
2022-11-23T01:32:32.7832504Z             
2022-11-23T01:32:32.7832583Z  - 
2022-11-23T01:32:32.7832775Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.7832839Z             {
2022-11-23T01:32:32.7832986Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7833265Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:32.7833389Z                 'obj_weakref': None
2022-11-23T01:32:32.7833610Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7833682Z             }
2022-11-23T01:32:32.7833752Z             
2022-11-23T01:32:32.7834011Z [2022-11-23 01:30:54,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 868
2022-11-23T01:32:32.7834266Z [2022-11-23 01:30:54,285] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7834634Z [2022-11-23 01:30:54,291] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbpjke4ozdtbn4fe23tnrrgy34kujytlji4oi2k2ix4winxw6p5.py
2022-11-23T01:32:32.7834909Z [2022-11-23 01:30:54,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 868
2022-11-23T01:32:32.7835154Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7835474Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7835700Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7835963Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7836246Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7836569Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7836911Z [2022-11-23 01:30:54,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7837238Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7837612Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7837742Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7837845Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7837925Z               4 BINARY_ADD
2022-11-23T01:32:32.7838028Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7838150Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7838237Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7838337Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7838415Z              14 BINARY_ADD
2022-11-23T01:32:32.7838513Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7838601Z              18 RETURN_VALUE
2022-11-23T01:32:32.7838669Z  
2022-11-23T01:32:32.7838674Z 
2022-11-23T01:32:32.7838995Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7839216Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7839454Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7839742Z [2022-11-23 01:30:54,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7839993Z [2022-11-23 01:30:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7840280Z [2022-11-23 01:30:54,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7840587Z [2022-11-23 01:30:54,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7840830Z [2022-11-23 01:30:54,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7841110Z [2022-11-23 01:30:54,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7841360Z [2022-11-23 01:30:54,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7841612Z [2022-11-23 01:30:54,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7841994Z [2022-11-23 01:30:54,298] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7842239Z [2022-11-23 01:30:54,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7842479Z [2022-11-23 01:30:54,298] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7842740Z [2022-11-23 01:30:54,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7843002Z [2022-11-23 01:30:54,303] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7843202Z [2022-11-23 01:30:54,303] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7843347Z  __compiled_fn_887 <eval_with_key>.5452 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7843446Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7843539Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7843712Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7843826Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:32.7844014Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7844115Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7844120Z 
2022-11-23T01:32:32.7844450Z [2022-11-23 01:30:54,304] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7844553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7844676Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7844774Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7844868Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7844965Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7845087Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7845169Z              12 RETURN_VALUE
2022-11-23T01:32:32.7845174Z 
2022-11-23T01:32:32.7845241Z  
2022-11-23T01:32:32.7845566Z [2022-11-23 01:30:54,304] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7845684Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_887)
2022-11-23T01:32:32.7845789Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7845882Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7845966Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7846067Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7846164Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7846247Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7846345Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7846460Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7846594Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7846702Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7846798Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7846902Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7847012Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7847109Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7847195Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7847282Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7847384Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7847490Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7847588Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7847669Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7847783Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7847880Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7847986Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7848075Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7848157Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7848267Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7848350Z              54 RETURN_VALUE
2022-11-23T01:32:32.7848355Z 
2022-11-23T01:32:32.7848424Z  
2022-11-23T01:32:32.7848614Z [2022-11-23 01:30:54,305] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7848692Z  - 
2022-11-23T01:32:32.7848812Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7848882Z             {
2022-11-23T01:32:32.7849032Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7849223Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7849349Z                 'obj_weakref': None
2022-11-23T01:32:32.7849578Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7849651Z             }
2022-11-23T01:32:32.7849713Z             
2022-11-23T01:32:32.7849792Z  - 
2022-11-23T01:32:32.7849922Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7849992Z             {
2022-11-23T01:32:32.7850140Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7850255Z                 'code': None,
2022-11-23T01:32:32.7850474Z                 'obj_weakref': <weakref at 0x7f1fd97ba7f0; to 'Tensor' at 0x7f1fead93e70>
2022-11-23T01:32:32.7850749Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7850824Z             }
2022-11-23T01:32:32.7850897Z             
2022-11-23T01:32:32.7850974Z  - 
2022-11-23T01:32:32.7851104Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7851175Z             {
2022-11-23T01:32:32.7851345Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7851450Z                 'code': None,
2022-11-23T01:32:32.7851669Z                 'obj_weakref': <weakref at 0x7f1fd97b9cb0; to 'Tensor' at 0x7f1fd83727a0>
2022-11-23T01:32:32.7851922Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7851992Z             }
2022-11-23T01:32:32.7852063Z             
2022-11-23T01:32:32.7852139Z  - 
2022-11-23T01:32:32.7852276Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7852338Z             {
2022-11-23T01:32:32.7852480Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7852664Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7852792Z                 'obj_weakref': None
2022-11-23T01:32:32.7853030Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7853102Z             }
2022-11-23T01:32:32.7853171Z             
2022-11-23T01:32:32.7853241Z  - 
2022-11-23T01:32:32.7853369Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7853438Z             {
2022-11-23T01:32:32.7853582Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7853807Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7853934Z                 'obj_weakref': None
2022-11-23T01:32:32.7854162Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7854224Z             }
2022-11-23T01:32:32.7854297Z             
2022-11-23T01:32:32.7854375Z  - 
2022-11-23T01:32:32.7854564Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7854635Z             {
2022-11-23T01:32:32.7854811Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7855633Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:32.7855763Z                 'obj_weakref': None
2022-11-23T01:32:32.7855988Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7856053Z             }
2022-11-23T01:32:32.7856127Z             
2022-11-23T01:32:32.7856206Z  - 
2022-11-23T01:32:32.7856398Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7856468Z             {
2022-11-23T01:32:32.7856617Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7856910Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.7857028Z                 'obj_weakref': None
2022-11-23T01:32:32.7857251Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7857321Z             }
2022-11-23T01:32:32.7857390Z             
2022-11-23T01:32:32.7857468Z  - 
2022-11-23T01:32:32.7857660Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7857730Z             {
2022-11-23T01:32:32.7857872Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7858192Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:32.7858319Z                 'obj_weakref': None
2022-11-23T01:32:32.7858545Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7858637Z             }
2022-11-23T01:32:32.7858719Z             
2022-11-23T01:32:32.7858949Z  - 
2022-11-23T01:32:32.7859197Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7859290Z             {
2022-11-23T01:32:32.7859444Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7859734Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:32.7859860Z                 'obj_weakref': None
2022-11-23T01:32:32.7860085Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7860156Z             }
2022-11-23T01:32:32.7860224Z             
2022-11-23T01:32:32.7860294Z  - 
2022-11-23T01:32:32.7860484Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7860560Z             {
2022-11-23T01:32:32.7860710Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7860991Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:32.7861117Z                 'obj_weakref': None
2022-11-23T01:32:32.7861338Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7861400Z             }
2022-11-23T01:32:32.7861471Z             
2022-11-23T01:32:32.7861549Z  - 
2022-11-23T01:32:32.7861739Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:32.7861808Z             {
2022-11-23T01:32:32.7861958Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7862237Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94768292480384)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:32.7862356Z                 'obj_weakref': None
2022-11-23T01:32:32.7862573Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7862643Z             }
2022-11-23T01:32:32.7862722Z             
2022-11-23T01:32:32.7863026Z [2022-11-23 01:30:54,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 869
2022-11-23T01:32:32.7863282Z [2022-11-23 01:30:54,316] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7863288Z 
2022-11-23T01:32:32.7863391Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7863467Z import torch
2022-11-23T01:32:32.7863535Z import random
2022-11-23T01:32:32.7863662Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7863792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7863798Z 
2022-11-23T01:32:32.7863882Z aten = torch.ops.aten
2022-11-23T01:32:32.7864026Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7864128Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7864133Z 
2022-11-23T01:32:32.7864209Z import triton
2022-11-23T01:32:32.7864296Z import triton.language as tl
2022-11-23T01:32:32.7864425Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7864571Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7864576Z 
2022-11-23T01:32:32.7864581Z 
2022-11-23T01:32:32.7864747Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7864824Z import triton
2022-11-23T01:32:32.7864918Z import triton.language as tl
2022-11-23T01:32:32.7865036Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7865221Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7865354Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7865483Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7865488Z 
2022-11-23T01:32:32.7865883Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7865988Z @triton.jit
2022-11-23T01:32:32.7866135Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7866213Z     xnumel = 1000
2022-11-23T01:32:32.7866313Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7866450Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7866528Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7866601Z     x0 = xindex
2022-11-23T01:32:32.7866702Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7866804Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7866885Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7867025Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7867113Z ''')
2022-11-23T01:32:32.7867119Z 
2022-11-23T01:32:32.7867126Z 
2022-11-23T01:32:32.7867214Z async_compile.wait(globals())
2022-11-23T01:32:32.7867295Z del async_compile
2022-11-23T01:32:32.7867300Z 
2022-11-23T01:32:32.7867377Z def call(args):
2022-11-23T01:32:32.7867459Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7867537Z     args.clear()
2022-11-23T01:32:32.7867776Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7867869Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7868024Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7868092Z     del arg0_1
2022-11-23T01:32:32.7868169Z     del arg1_1
2022-11-23T01:32:32.7868249Z     return (buf0, )
2022-11-23T01:32:32.7868254Z 
2022-11-23T01:32:32.7868259Z 
2022-11-23T01:32:32.7868340Z if __name__ == "__main__":
2022-11-23T01:32:32.7868468Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7868599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7868811Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7869034Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7869159Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7869165Z 
2022-11-23T01:32:32.7869169Z 
2022-11-23T01:32:32.7869270Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7869346Z import torch
2022-11-23T01:32:32.7869423Z import random
2022-11-23T01:32:32.7869546Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7869674Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7869679Z 
2022-11-23T01:32:32.7869765Z aten = torch.ops.aten
2022-11-23T01:32:32.7869899Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7869999Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7870004Z 
2022-11-23T01:32:32.7870082Z import triton
2022-11-23T01:32:32.7870178Z import triton.language as tl
2022-11-23T01:32:32.7870390Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7870536Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7870542Z 
2022-11-23T01:32:32.7870546Z 
2022-11-23T01:32:32.7870721Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7870798Z import triton
2022-11-23T01:32:32.7870884Z import triton.language as tl
2022-11-23T01:32:32.7871001Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7871105Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7871243Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7871405Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7871410Z 
2022-11-23T01:32:32.7871801Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7871899Z @triton.jit
2022-11-23T01:32:32.7872048Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7872118Z     xnumel = 1000
2022-11-23T01:32:32.7872223Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7872358Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7872444Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7872519Z     x0 = xindex
2022-11-23T01:32:32.7872640Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7872761Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7872836Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7872977Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7873064Z ''')
2022-11-23T01:32:32.7873069Z 
2022-11-23T01:32:32.7873074Z 
2022-11-23T01:32:32.7873169Z async_compile.wait(globals())
2022-11-23T01:32:32.7873248Z del async_compile
2022-11-23T01:32:32.7873256Z 
2022-11-23T01:32:32.7873334Z def call(args):
2022-11-23T01:32:32.7873416Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7873495Z     args.clear()
2022-11-23T01:32:32.7873723Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7873817Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7873972Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7874048Z     del arg0_1
2022-11-23T01:32:32.7874123Z     del arg1_1
2022-11-23T01:32:32.7874202Z     return (buf0, )
2022-11-23T01:32:32.7874207Z 
2022-11-23T01:32:32.7874212Z 
2022-11-23T01:32:32.7874298Z if __name__ == "__main__":
2022-11-23T01:32:32.7874414Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7874545Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7874752Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7874985Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7875109Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7875114Z 
2022-11-23T01:32:32.7875118Z 
2022-11-23T01:32:32.7875218Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7875294Z import torch
2022-11-23T01:32:32.7875371Z import random
2022-11-23T01:32:32.7875487Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7875616Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7875621Z 
2022-11-23T01:32:32.7875708Z aten = torch.ops.aten
2022-11-23T01:32:32.7875850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7875950Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7875956Z 
2022-11-23T01:32:32.7876031Z import triton
2022-11-23T01:32:32.7876126Z import triton.language as tl
2022-11-23T01:32:32.7876256Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7876395Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7876400Z 
2022-11-23T01:32:32.7876412Z 
2022-11-23T01:32:32.7876580Z triton_fused_add_1_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7876657Z import triton
2022-11-23T01:32:32.7876751Z import triton.language as tl
2022-11-23T01:32:32.7876870Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7876975Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7877111Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7877240Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7877245Z 
2022-11-23T01:32:32.7877654Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7877732Z @triton.jit
2022-11-23T01:32:32.7877879Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7877975Z     xnumel = 1000
2022-11-23T01:32:32.7878076Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7878211Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7878298Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7878371Z     x0 = xindex
2022-11-23T01:32:32.7878463Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7878561Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7878635Z     tmp1 = 1
2022-11-23T01:32:32.7878719Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7878798Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7878941Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7879021Z ''')
2022-11-23T01:32:32.7879035Z 
2022-11-23T01:32:32.7879039Z 
2022-11-23T01:32:32.7879127Z async_compile.wait(globals())
2022-11-23T01:32:32.7879206Z del async_compile
2022-11-23T01:32:32.7879212Z 
2022-11-23T01:32:32.7879290Z def call(args):
2022-11-23T01:32:32.7879374Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7879454Z     args.clear()
2022-11-23T01:32:32.7879691Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7879787Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7879941Z     triton_fused_add_1_add_view0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7880015Z     del arg0_1
2022-11-23T01:32:32.7880089Z     del arg1_1
2022-11-23T01:32:32.7880166Z     return (buf0, )
2022-11-23T01:32:32.7880171Z 
2022-11-23T01:32:32.7880176Z 
2022-11-23T01:32:32.7880258Z if __name__ == "__main__":
2022-11-23T01:32:32.7880381Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7880511Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7880724Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7880949Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7881074Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7881079Z 
2022-11-23T01:32:32.7881441Z [2022-11-23 01:30:54,322] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lt/cltauo66y5zv7326bl3fde64zy5qnwedywod7aolslz6mex2euwu.py
2022-11-23T01:32:32.7881712Z [2022-11-23 01:30:54,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 869
2022-11-23T01:32:32.7881957Z [2022-11-23 01:30:54,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7882274Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7882496Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7882754Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7883035Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7883354Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7883689Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7884042Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7884419Z [2022-11-23 01:30:54,326] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7884560Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7884664Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7884768Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7884867Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7884967Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7885040Z              10 BINARY_ADD
2022-11-23T01:32:32.7885138Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7885221Z              14 RETURN_VALUE
2022-11-23T01:32:32.7885289Z  
2022-11-23T01:32:32.7885295Z 
2022-11-23T01:32:32.7885611Z [2022-11-23 01:30:54,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7885826Z [2022-11-23 01:30:54,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7886075Z [2022-11-23 01:30:54,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7886363Z [2022-11-23 01:30:54,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7886665Z [2022-11-23 01:30:54,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7886895Z [2022-11-23 01:30:54,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7887169Z [2022-11-23 01:30:54,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7887418Z [2022-11-23 01:30:54,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7887668Z [2022-11-23 01:30:54,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7888048Z [2022-11-23 01:30:54,329] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7888296Z [2022-11-23 01:30:54,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7888531Z [2022-11-23 01:30:54,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7888787Z [2022-11-23 01:30:54,330] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7889042Z [2022-11-23 01:30:54,333] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7889228Z [2022-11-23 01:30:54,333] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7889373Z  __compiled_fn_888 <eval_with_key>.5458 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7889469Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7889564Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7889677Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T01:32:32.7889859Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7889961Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7889967Z 
2022-11-23T01:32:32.7890293Z [2022-11-23 01:30:54,333] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7890386Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7890487Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7890583Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7890683Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7890807Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7890904Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7890990Z              12 RETURN_VALUE
2022-11-23T01:32:32.7890995Z 
2022-11-23T01:32:32.7891062Z  
2022-11-23T01:32:32.7891396Z [2022-11-23 01:30:54,333] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7891515Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_888)
2022-11-23T01:32:32.7891615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7891714Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7891799Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7891897Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7891997Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7892071Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7892169Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7892283Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7892422Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7892532Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7892630Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7892734Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7892850Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7892963Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7893052Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7893169Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7893274Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7893384Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7893482Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7893568Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7893673Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7893772Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7893877Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7893982Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7894065Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7894176Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7894257Z              54 RETURN_VALUE
2022-11-23T01:32:32.7894262Z 
2022-11-23T01:32:32.7894322Z  
2022-11-23T01:32:32.7894516Z [2022-11-23 01:30:54,335] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7894594Z  - 
2022-11-23T01:32:32.7894719Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7894790Z             {
2022-11-23T01:32:32.7894938Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7895132Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7895250Z                 'obj_weakref': None
2022-11-23T01:32:32.7895476Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7895548Z             }
2022-11-23T01:32:32.7895621Z             
2022-11-23T01:32:32.7895697Z  - 
2022-11-23T01:32:32.7895828Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7895898Z             {
2022-11-23T01:32:32.7896039Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7896153Z                 'code': None,
2022-11-23T01:32:32.7896370Z                 'obj_weakref': <weakref at 0x7f1f25b4f100; to 'Tensor' at 0x7f1ff814cc20>
2022-11-23T01:32:32.7896623Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7896696Z             }
2022-11-23T01:32:32.7896766Z             
2022-11-23T01:32:32.7896844Z  - 
2022-11-23T01:32:32.7896994Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7897065Z             {
2022-11-23T01:32:32.7897213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7897330Z                 'code': None,
2022-11-23T01:32:32.7897545Z                 'obj_weakref': <weakref at 0x7f1f25b4c0e0; to 'Tensor' at 0x7f1fead93e70>
2022-11-23T01:32:32.7897825Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7897896Z             }
2022-11-23T01:32:32.7897958Z             
2022-11-23T01:32:32.7898034Z  - 
2022-11-23T01:32:32.7898171Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7898242Z             {
2022-11-23T01:32:32.7898388Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7898565Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7898690Z                 'obj_weakref': None
2022-11-23T01:32:32.7899122Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7899195Z             }
2022-11-23T01:32:32.7899263Z             
2022-11-23T01:32:32.7899344Z  - 
2022-11-23T01:32:32.7899473Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7899544Z             {
2022-11-23T01:32:32.7899696Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7899914Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7900039Z                 'obj_weakref': None
2022-11-23T01:32:32.7900269Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7900340Z             }
2022-11-23T01:32:32.7900411Z             
2022-11-23T01:32:32.7900490Z  - 
2022-11-23T01:32:32.7900675Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7900738Z             {
2022-11-23T01:32:32.7900914Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7901644Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:32.7901773Z                 'obj_weakref': None
2022-11-23T01:32:32.7901997Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7902068Z             }
2022-11-23T01:32:32.7902137Z             
2022-11-23T01:32:32.7902219Z  - 
2022-11-23T01:32:32.7902411Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7902475Z             {
2022-11-23T01:32:32.7902629Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7902916Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.7903042Z                 'obj_weakref': None
2022-11-23T01:32:32.7903270Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7903340Z             }
2022-11-23T01:32:32.7903412Z             
2022-11-23T01:32:32.7903482Z  - 
2022-11-23T01:32:32.7903672Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7903742Z             {
2022-11-23T01:32:32.7903891Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7904173Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:32.7904297Z                 'obj_weakref': None
2022-11-23T01:32:32.7904570Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7904635Z             }
2022-11-23T01:32:32.7904706Z             
2022-11-23T01:32:32.7904784Z  - 
2022-11-23T01:32:32.7904976Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7905095Z             {
2022-11-23T01:32:32.7905245Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7905527Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:32.7905652Z                 'obj_weakref': None
2022-11-23T01:32:32.7905865Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7905936Z             }
2022-11-23T01:32:32.7906005Z             
2022-11-23T01:32:32.7906083Z  - 
2022-11-23T01:32:32.7906273Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7906346Z             {
2022-11-23T01:32:32.7906486Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7906771Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:32.7906898Z                 'obj_weakref': None
2022-11-23T01:32:32.7907120Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7907192Z             }
2022-11-23T01:32:32.7907263Z             
2022-11-23T01:32:32.7907533Z [2022-11-23 01:30:54,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 870
2022-11-23T01:32:32.7907790Z [2022-11-23 01:30:54,347] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7908152Z [2022-11-23 01:30:54,353] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4j/c4jdmhatlrivfxmzo3wv7grkwp6qrrzivhmxkykskxwtakprs7nb.py
2022-11-23T01:32:32.7908424Z [2022-11-23 01:30:54,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 870
2022-11-23T01:32:32.7908666Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7908983Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7909208Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7909468Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7909748Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7910070Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7910498Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7910863Z [2022-11-23 01:30:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7911257Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:32.7911353Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7911457Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7911561Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7911657Z               6 CALL_METHOD              1
2022-11-23T01:32:32.7911757Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7911882Z              10 BINARY_ADD
2022-11-23T01:32:32.7911986Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.7912063Z              14 RETURN_VALUE
2022-11-23T01:32:32.7912130Z  
2022-11-23T01:32:32.7912136Z 
2022-11-23T01:32:32.7912459Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:32:32.7912700Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7912951Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7913235Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7913541Z [2022-11-23 01:30:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7913783Z [2022-11-23 01:30:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7914056Z [2022-11-23 01:30:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7914299Z [2022-11-23 01:30:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7914554Z [2022-11-23 01:30:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7914928Z [2022-11-23 01:30:54,359] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f435d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:32.7915184Z [2022-11-23 01:30:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7915425Z [2022-11-23 01:30:54,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7915688Z [2022-11-23 01:30:54,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7915943Z [2022-11-23 01:30:54,363] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7916141Z [2022-11-23 01:30:54,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7916286Z  __compiled_fn_889 <eval_with_key>.5464 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7916376Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7916471Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7916583Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T01:32:32.7916766Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7916870Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.7916875Z 
2022-11-23T01:32:32.7917204Z [2022-11-23 01:30:54,364] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7917306Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7917406Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7917493Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7917598Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7917693Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7917791Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7917875Z              12 RETURN_VALUE
2022-11-23T01:32:32.7917880Z 
2022-11-23T01:32:32.7917949Z  
2022-11-23T01:32:32.7918270Z [2022-11-23 01:30:54,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7918391Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_889)
2022-11-23T01:32:32.7918483Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7918617Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7918706Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7918803Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7918900Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7918987Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7919106Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7919213Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7919355Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7919461Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7919558Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7919666Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7919778Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7919878Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7919954Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7920052Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7920153Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7920264Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7920363Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7920449Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7920560Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7920659Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7920757Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7920854Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7920937Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7921049Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7921135Z              54 RETURN_VALUE
2022-11-23T01:32:32.7921141Z 
2022-11-23T01:32:32.7921210Z  
2022-11-23T01:32:32.7921406Z [2022-11-23 01:30:54,365] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7921476Z  - 
2022-11-23T01:32:32.7921602Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7921672Z             {
2022-11-23T01:32:32.7921819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7922010Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7922139Z                 'obj_weakref': None
2022-11-23T01:32:32.7922369Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7922433Z             }
2022-11-23T01:32:32.7922504Z             
2022-11-23T01:32:32.7922581Z  - 
2022-11-23T01:32:32.7922712Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7922782Z             {
2022-11-23T01:32:32.7922954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7923079Z                 'code': None,
2022-11-23T01:32:32.7923304Z                 'obj_weakref': <weakref at 0x7f201e6f02c0; to 'Tensor' at 0x7f1fd810d9e0>
2022-11-23T01:32:32.7923560Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7923631Z             }
2022-11-23T01:32:32.7923701Z             
2022-11-23T01:32:32.7923778Z  - 
2022-11-23T01:32:32.7923911Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7923982Z             {
2022-11-23T01:32:32.7924122Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7924235Z                 'code': None,
2022-11-23T01:32:32.7924449Z                 'obj_weakref': <weakref at 0x7f201e6f1760; to 'Tensor' at 0x7f20682403b0>
2022-11-23T01:32:32.7924703Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7924773Z             }
2022-11-23T01:32:32.7924843Z             
2022-11-23T01:32:32.7924920Z  - 
2022-11-23T01:32:32.7925050Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7925120Z             {
2022-11-23T01:32:32.7925296Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7925475Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.7925600Z                 'obj_weakref': None
2022-11-23T01:32:32.7925833Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7925926Z             }
2022-11-23T01:32:32.7925989Z             
2022-11-23T01:32:32.7926066Z  - 
2022-11-23T01:32:32.7926196Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7926267Z             {
2022-11-23T01:32:32.7926412Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7926639Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7926764Z                 'obj_weakref': None
2022-11-23T01:32:32.7926985Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7927058Z             }
2022-11-23T01:32:32.7927131Z             
2022-11-23T01:32:32.7927210Z  - 
2022-11-23T01:32:32.7927399Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7927471Z             {
2022-11-23T01:32:32.7927648Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7928376Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:32.7928495Z                 'obj_weakref': None
2022-11-23T01:32:32.7928724Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7928795Z             }
2022-11-23T01:32:32.7928864Z             
2022-11-23T01:32:32.7928946Z  - 
2022-11-23T01:32:32.7929140Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7929211Z             {
2022-11-23T01:32:32.7929357Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7929646Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.7929773Z                 'obj_weakref': None
2022-11-23T01:32:32.7929998Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7930072Z             }
2022-11-23T01:32:32.7930141Z             
2022-11-23T01:32:32.7930220Z  - 
2022-11-23T01:32:32.7930413Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7930476Z             {
2022-11-23T01:32:32.7930630Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7930918Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:32.7931044Z                 'obj_weakref': None
2022-11-23T01:32:32.7931272Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7931343Z             }
2022-11-23T01:32:32.7931416Z             
2022-11-23T01:32:32.7931486Z  - 
2022-11-23T01:32:32.7931680Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7931752Z             {
2022-11-23T01:32:32.7931903Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7932189Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:32.7932315Z                 'obj_weakref': None
2022-11-23T01:32:32.7932567Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7932632Z             }
2022-11-23T01:32:32.7932701Z             
2022-11-23T01:32:32.7932790Z  - 
2022-11-23T01:32:32.7933014Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7933117Z             {
2022-11-23T01:32:32.7933267Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7933554Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:32.7933680Z                 'obj_weakref': None
2022-11-23T01:32:32.7933896Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7933966Z             }
2022-11-23T01:32:32.7934037Z             
2022-11-23T01:32:32.7934307Z [2022-11-23 01:30:54,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 871
2022-11-23T01:32:32.7934569Z [2022-11-23 01:30:54,375] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7934935Z [2022-11-23 01:30:54,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhdy6s2eowj3mrsjho4qm2g33cdaghzvyyc2gb5q7m4uw4l3w6w.py
2022-11-23T01:32:32.7935212Z [2022-11-23 01:30:54,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 871
2022-11-23T01:32:32.7935457Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7935767Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7935992Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7936250Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7936530Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7936852Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7937198Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7937520Z [2022-11-23 01:30:54,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7937892Z [2022-11-23 01:30:54,385] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7937995Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7938097Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7938170Z               4 BINARY_ADD
2022-11-23T01:32:32.7938274Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7938377Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7938474Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7938574Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7938654Z              14 BINARY_ADD
2022-11-23T01:32:32.7938750Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7939012Z              18 RETURN_VALUE
2022-11-23T01:32:32.7939082Z  
2022-11-23T01:32:32.7939088Z 
2022-11-23T01:32:32.7939408Z [2022-11-23 01:30:54,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7939621Z [2022-11-23 01:30:54,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7939922Z [2022-11-23 01:30:54,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7940209Z [2022-11-23 01:30:54,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7940458Z [2022-11-23 01:30:54,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7940770Z [2022-11-23 01:30:54,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7941081Z [2022-11-23 01:30:54,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7941318Z [2022-11-23 01:30:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7941593Z [2022-11-23 01:30:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7941845Z [2022-11-23 01:30:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7942098Z [2022-11-23 01:30:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7942481Z [2022-11-23 01:30:54,388] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7942735Z [2022-11-23 01:30:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7942976Z [2022-11-23 01:30:54,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7943237Z [2022-11-23 01:30:54,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7943496Z [2022-11-23 01:30:54,394] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7943699Z [2022-11-23 01:30:54,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7943836Z  __compiled_fn_890 <eval_with_key>.5470 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7943933Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7944031Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7944211Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7944320Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T01:32:32.7944510Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7944613Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7944619Z 
2022-11-23T01:32:32.7944940Z [2022-11-23 01:30:54,394] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7945045Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7945148Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7945244Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7945348Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7945442Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7945543Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7945630Z              12 RETURN_VALUE
2022-11-23T01:32:32.7945635Z 
2022-11-23T01:32:32.7945696Z  
2022-11-23T01:32:32.7946023Z [2022-11-23 01:30:54,394] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7946144Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_890)
2022-11-23T01:32:32.7946241Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7946341Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7946423Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7946520Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7946638Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7946723Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7946818Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7946932Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7947098Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7947205Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7947300Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7947406Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7947508Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7947606Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7947690Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7947788Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7947889Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7948001Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7948099Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7948174Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7948287Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7948389Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7948500Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7948598Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7948682Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7948792Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7948867Z              54 RETURN_VALUE
2022-11-23T01:32:32.7948872Z 
2022-11-23T01:32:32.7948942Z  
2022-11-23T01:32:32.7949136Z [2022-11-23 01:30:54,396] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7949216Z  - 
2022-11-23T01:32:32.7949343Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7949415Z             {
2022-11-23T01:32:32.7949568Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7949755Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7949883Z                 'obj_weakref': None
2022-11-23T01:32:32.7950112Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7950189Z             }
2022-11-23T01:32:32.7950325Z             
2022-11-23T01:32:32.7950419Z  - 
2022-11-23T01:32:32.7950571Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7950645Z             {
2022-11-23T01:32:32.7950821Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7950936Z                 'code': None,
2022-11-23T01:32:32.7951157Z                 'obj_weakref': <weakref at 0x7f1fd8cc5210; to 'Tensor' at 0x7f1ffad4efc0>
2022-11-23T01:32:32.7951409Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7951483Z             }
2022-11-23T01:32:32.7951553Z             
2022-11-23T01:32:32.7951623Z  - 
2022-11-23T01:32:32.7951751Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7951823Z             {
2022-11-23T01:32:32.7951972Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7952092Z                 'code': None,
2022-11-23T01:32:32.7952308Z                 'obj_weakref': <weakref at 0x7f1fd8cc4900; to 'Tensor' at 0x7f1fd810d9e0>
2022-11-23T01:32:32.7952560Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7952631Z             }
2022-11-23T01:32:32.7952693Z             
2022-11-23T01:32:32.7952771Z  - 
2022-11-23T01:32:32.7952909Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7952979Z             {
2022-11-23T01:32:32.7953122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7953298Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7953459Z                 'obj_weakref': None
2022-11-23T01:32:32.7953696Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7953767Z             }
2022-11-23T01:32:32.7953837Z             
2022-11-23T01:32:32.7953939Z  - 
2022-11-23T01:32:32.7954067Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7954136Z             {
2022-11-23T01:32:32.7954272Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7954493Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7954618Z                 'obj_weakref': None
2022-11-23T01:32:32.7954845Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.7954914Z             }
2022-11-23T01:32:32.7954984Z             
2022-11-23T01:32:32.7955060Z  - 
2022-11-23T01:32:32.7955238Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.7955311Z             {
2022-11-23T01:32:32.7955488Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.7956201Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:32.7956334Z                 'obj_weakref': None
2022-11-23T01:32:32.7956558Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.7956628Z             }
2022-11-23T01:32:32.7956698Z             
2022-11-23T01:32:32.7956775Z  - 
2022-11-23T01:32:32.7956963Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.7957034Z             {
2022-11-23T01:32:32.7957184Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7957472Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.7957601Z                 'obj_weakref': None
2022-11-23T01:32:32.7957823Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7957893Z             }
2022-11-23T01:32:32.7957955Z             
2022-11-23T01:32:32.7958030Z  - 
2022-11-23T01:32:32.7958217Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.7958286Z             {
2022-11-23T01:32:32.7958434Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7958714Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:32.7958837Z                 'obj_weakref': None
2022-11-23T01:32:32.7959054Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7959117Z             }
2022-11-23T01:32:32.7959189Z             
2022-11-23T01:32:32.7959267Z  - 
2022-11-23T01:32:32.7959456Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.7959525Z             {
2022-11-23T01:32:32.7959671Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7959950Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:32.7960065Z                 'obj_weakref': None
2022-11-23T01:32:32.7960283Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7960353Z             }
2022-11-23T01:32:32.7960422Z             
2022-11-23T01:32:32.7960537Z  - 
2022-11-23T01:32:32.7960726Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.7960796Z             {
2022-11-23T01:32:32.7960934Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.7961215Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:32.7961358Z                 'obj_weakref': None
2022-11-23T01:32:32.7961575Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.7961646Z             }
2022-11-23T01:32:32.7961714Z             
2022-11-23T01:32:32.7961980Z [2022-11-23 01:30:54,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 872
2022-11-23T01:32:32.7962223Z [2022-11-23 01:30:54,408] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.7962237Z 
2022-11-23T01:32:32.7962334Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7962409Z import torch
2022-11-23T01:32:32.7962487Z import random
2022-11-23T01:32:32.7962610Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7962739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7962747Z 
2022-11-23T01:32:32.7962832Z aten = torch.ops.aten
2022-11-23T01:32:32.7962990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7963090Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7963095Z 
2022-11-23T01:32:32.7963188Z import triton
2022-11-23T01:32:32.7963289Z import triton.language as tl
2022-11-23T01:32:32.7963418Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7963563Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7963569Z 
2022-11-23T01:32:32.7963574Z 
2022-11-23T01:32:32.7963748Z triton_fused_add_1_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.7963826Z import triton
2022-11-23T01:32:32.7963922Z import triton.language as tl
2022-11-23T01:32:32.7964032Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7964137Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7964273Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7964411Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7964416Z 
2022-11-23T01:32:32.7964806Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.7964881Z @triton.jit
2022-11-23T01:32:32.7965028Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7965106Z     xnumel = 1000
2022-11-23T01:32:32.7965198Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7965331Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7965424Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7965497Z     x0 = xindex
2022-11-23T01:32:32.7965620Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7965741Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7965813Z     tmp1 = 1
2022-11-23T01:32:32.7965889Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7965969Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.7966108Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.7966195Z ''')
2022-11-23T01:32:32.7966200Z 
2022-11-23T01:32:32.7966205Z 
2022-11-23T01:32:32.7966301Z async_compile.wait(globals())
2022-11-23T01:32:32.7966380Z del async_compile
2022-11-23T01:32:32.7966385Z 
2022-11-23T01:32:32.7966462Z def call(args):
2022-11-23T01:32:32.7966536Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7966616Z     args.clear()
2022-11-23T01:32:32.7966854Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7966974Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7967135Z     triton_fused_add_1_view_add0.run(arg0_1, arg1_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.7967209Z     del arg0_1
2022-11-23T01:32:32.7967283Z     del arg1_1
2022-11-23T01:32:32.7967373Z     return (buf0, )
2022-11-23T01:32:32.7967386Z 
2022-11-23T01:32:32.7967391Z 
2022-11-23T01:32:32.7967466Z if __name__ == "__main__":
2022-11-23T01:32:32.7967588Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7967720Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7967930Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7968159Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7968283Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7968288Z 
2022-11-23T01:32:32.7968293Z 
2022-11-23T01:32:32.7968397Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7968474Z import torch
2022-11-23T01:32:32.7968542Z import random
2022-11-23T01:32:32.7968667Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7968797Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7968805Z 
2022-11-23T01:32:32.7968889Z aten = torch.ops.aten
2022-11-23T01:32:32.7969033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7969131Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7969137Z 
2022-11-23T01:32:32.7969212Z import triton
2022-11-23T01:32:32.7969298Z import triton.language as tl
2022-11-23T01:32:32.7969425Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7969569Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7969574Z 
2022-11-23T01:32:32.7969579Z 
2022-11-23T01:32:32.7969743Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7969818Z import triton
2022-11-23T01:32:32.7969916Z import triton.language as tl
2022-11-23T01:32:32.7970034Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7970142Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7970272Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7970403Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7970408Z 
2022-11-23T01:32:32.7970796Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7970874Z @triton.jit
2022-11-23T01:32:32.7971022Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7971098Z     xnumel = 16
2022-11-23T01:32:32.7971198Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7971332Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7971412Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7971485Z     x0 = xindex
2022-11-23T01:32:32.7971586Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.7971686Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.7971766Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7971905Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7971994Z ''')
2022-11-23T01:32:32.7972000Z 
2022-11-23T01:32:32.7972004Z 
2022-11-23T01:32:32.7972099Z async_compile.wait(globals())
2022-11-23T01:32:32.7972170Z del async_compile
2022-11-23T01:32:32.7972175Z 
2022-11-23T01:32:32.7972256Z def call(args):
2022-11-23T01:32:32.7972336Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7972414Z     args.clear()
2022-11-23T01:32:32.7972626Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7972720Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7972870Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7972967Z     del arg0_1
2022-11-23T01:32:32.7973043Z     del arg1_1
2022-11-23T01:32:32.7973121Z     return (buf0, )
2022-11-23T01:32:32.7973126Z 
2022-11-23T01:32:32.7973130Z 
2022-11-23T01:32:32.7973213Z if __name__ == "__main__":
2022-11-23T01:32:32.7973336Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7973490Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7973692Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7973896Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.7974020Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7974025Z 
2022-11-23T01:32:32.7974030Z 
2022-11-23T01:32:32.7974131Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.7974207Z import torch
2022-11-23T01:32:32.7974284Z import random
2022-11-23T01:32:32.7974409Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.7974541Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.7974546Z 
2022-11-23T01:32:32.7974630Z aten = torch.ops.aten
2022-11-23T01:32:32.7974763Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.7974865Z async_compile = AsyncCompile()
2022-11-23T01:32:32.7974873Z 
2022-11-23T01:32:32.7974951Z import triton
2022-11-23T01:32:32.7975048Z import triton.language as tl
2022-11-23T01:32:32.7975178Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.7975323Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.7975328Z 
2022-11-23T01:32:32.7975333Z 
2022-11-23T01:32:32.7975497Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.7975574Z import triton
2022-11-23T01:32:32.7975661Z import triton.language as tl
2022-11-23T01:32:32.7975779Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.7975885Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.7976025Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.7976155Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.7976160Z 
2022-11-23T01:32:32.7976547Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.7976627Z @triton.jit
2022-11-23T01:32:32.7976773Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.7976841Z     xnumel = 16
2022-11-23T01:32:32.7976942Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.7977077Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.7977164Z     xmask = xindex < xnumel
2022-11-23T01:32:32.7977238Z     x0 = xindex
2022-11-23T01:32:32.7977359Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7977481Z     tmp1 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.7977555Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.7977692Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.7977783Z ''')
2022-11-23T01:32:32.7977788Z 
2022-11-23T01:32:32.7977793Z 
2022-11-23T01:32:32.7977894Z async_compile.wait(globals())
2022-11-23T01:32:32.7977972Z del async_compile
2022-11-23T01:32:32.7977978Z 
2022-11-23T01:32:32.7978055Z def call(args):
2022-11-23T01:32:32.7978137Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.7978217Z     args.clear()
2022-11-23T01:32:32.7978421Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7978517Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.7978670Z     triton_fused_add_view0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.7978748Z     del arg0_1
2022-11-23T01:32:32.7979021Z     del arg1_1
2022-11-23T01:32:32.7979100Z     return (buf0, )
2022-11-23T01:32:32.7979106Z 
2022-11-23T01:32:32.7979170Z 
2022-11-23T01:32:32.7979255Z if __name__ == "__main__":
2022-11-23T01:32:32.7979370Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.7979502Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.7979707Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7979945Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.7980067Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.7980072Z 
2022-11-23T01:32:32.7980443Z [2022-11-23 01:30:54,414] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h3/ch35mjoztvysvlcwncweulrhtsmjaneh3ppeutbvhntp3npnppoz.py
2022-11-23T01:32:32.7980710Z [2022-11-23 01:30:54,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 872
2022-11-23T01:32:32.7980955Z [2022-11-23 01:30:54,417] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.7981271Z [2022-11-23 01:30:54,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.7981483Z [2022-11-23 01:30:54,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.7981740Z [2022-11-23 01:30:54,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.7982020Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.7982339Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7982683Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7983007Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.7983380Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:32.7983483Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.7983584Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.7983668Z               4 BINARY_ADD
2022-11-23T01:32:32.7983763Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.7983865Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.7983960Z              10 CALL_METHOD              1
2022-11-23T01:32:32.7984060Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:32.7984140Z              14 BINARY_ADD
2022-11-23T01:32:32.7984237Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.7984322Z              18 RETURN_VALUE
2022-11-23T01:32:32.7984382Z  
2022-11-23T01:32:32.7984388Z 
2022-11-23T01:32:32.7984703Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:32:32.7984921Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.7985168Z [2022-11-23 01:30:54,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.7985448Z [2022-11-23 01:30:54,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.7985693Z [2022-11-23 01:30:54,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.7985972Z [2022-11-23 01:30:54,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.7986301Z [2022-11-23 01:30:54,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.7986541Z [2022-11-23 01:30:54,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:32.7986832Z [2022-11-23 01:30:54,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.7987075Z [2022-11-23 01:30:54,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.7987324Z [2022-11-23 01:30:54,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7987698Z [2022-11-23 01:30:54,421] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:32.7987951Z [2022-11-23 01:30:54,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.7988187Z [2022-11-23 01:30:54,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.7988445Z [2022-11-23 01:30:54,423] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.7988724Z [2022-11-23 01:30:54,426] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.7988943Z [2022-11-23 01:30:54,426] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.7989091Z  __compiled_fn_891 <eval_with_key>.5476 opcode, name, target, args, kwargs
2022-11-23T01:32:32.7989180Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.7989275Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.7989452Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.7989563Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T01:32:32.7989754Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:32.7989857Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:32.7989863Z 
2022-11-23T01:32:32.7990192Z [2022-11-23 01:30:54,427] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7990387Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7990491Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7990597Z               4 BUILD_MAP                0
2022-11-23T01:32:32.7990712Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.7990808Z               8 DICT_MERGE               1
2022-11-23T01:32:32.7990904Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.7990986Z              12 RETURN_VALUE
2022-11-23T01:32:32.7990991Z 
2022-11-23T01:32:32.7991058Z  
2022-11-23T01:32:32.7991376Z [2022-11-23 01:30:54,427] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.7991494Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_891)
2022-11-23T01:32:32.7991596Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7991698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7991784Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.7991881Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.7991982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.7992057Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.7992152Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.7992268Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.7992409Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.7992514Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.7992608Z              22 CALL_FUNCTION            0
2022-11-23T01:32:32.7992750Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.7992860Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.7992950Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7993033Z              30 BINARY_SUBSCR
2022-11-23T01:32:32.7993152Z              32 BUILD_TUPLE              1
2022-11-23T01:32:32.7993256Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7993363Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7993461Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7993546Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.7993650Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.7993749Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.7993858Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.7993954Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:32.7994039Z              50 BINARY_SUBSCR
2022-11-23T01:32:32.7994148Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.7994230Z              54 RETURN_VALUE
2022-11-23T01:32:32.7994236Z 
2022-11-23T01:32:32.7994296Z  
2022-11-23T01:32:32.7994510Z [2022-11-23 01:30:54,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.7994600Z  - 
2022-11-23T01:32:32.7994750Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.7994820Z             {
2022-11-23T01:32:32.7994969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.7995165Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.7995286Z                 'obj_weakref': None
2022-11-23T01:32:32.7995513Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.7995585Z             }
2022-11-23T01:32:32.7995654Z             
2022-11-23T01:32:32.7995732Z  - 
2022-11-23T01:32:32.7995866Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.7995936Z             {
2022-11-23T01:32:32.7996078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7996192Z                 'code': None,
2022-11-23T01:32:32.7996409Z                 'obj_weakref': <weakref at 0x7f206814d350; to 'Tensor' at 0x7f1f25b4db20>
2022-11-23T01:32:32.7996669Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7996740Z             }
2022-11-23T01:32:32.7996810Z             
2022-11-23T01:32:32.7996889Z  - 
2022-11-23T01:32:32.7997012Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.7997083Z             {
2022-11-23T01:32:32.7997233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.7997346Z                 'code': None,
2022-11-23T01:32:32.7997562Z                 'obj_weakref': <weakref at 0x7f1fd80ed030; to 'Tensor' at 0x7f2068175da0>
2022-11-23T01:32:32.7997817Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.7997888Z             }
2022-11-23T01:32:32.7997957Z             
2022-11-23T01:32:32.7998027Z  - 
2022-11-23T01:32:32.7998167Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.7998240Z             {
2022-11-23T01:32:32.7998384Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.7998559Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.7998688Z                 'obj_weakref': None
2022-11-23T01:32:32.7998913Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.7998984Z             }
2022-11-23T01:32:32.7999054Z             
2022-11-23T01:32:32.7999131Z  - 
2022-11-23T01:32:32.7999259Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.7999330Z             {
2022-11-23T01:32:32.7999476Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.7999720Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.7999848Z                 'obj_weakref': None
2022-11-23T01:32:32.8000076Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8000146Z             }
2022-11-23T01:32:32.8000237Z             
2022-11-23T01:32:32.8000313Z  - 
2022-11-23T01:32:32.8000499Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8000562Z             {
2022-11-23T01:32:32.8000738Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8001453Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:32.8001581Z                 'obj_weakref': None
2022-11-23T01:32:32.8001804Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8001877Z             }
2022-11-23T01:32:32.8001947Z             
2022-11-23T01:32:32.8002025Z  - 
2022-11-23T01:32:32.8002217Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8002279Z             {
2022-11-23T01:32:32.8002429Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8002713Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:32.8002837Z                 'obj_weakref': None
2022-11-23T01:32:32.8003057Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8003128Z             }
2022-11-23T01:32:32.8003199Z             
2022-11-23T01:32:32.8003268Z  - 
2022-11-23T01:32:32.8003455Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8003526Z             {
2022-11-23T01:32:32.8003674Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8003956Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:32.8004081Z                 'obj_weakref': None
2022-11-23T01:32:32.8004299Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8004372Z             }
2022-11-23T01:32:32.8004434Z             
2022-11-23T01:32:32.8004512Z  - 
2022-11-23T01:32:32.8004700Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8004770Z             {
2022-11-23T01:32:32.8004918Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8005198Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:32.8005322Z                 'obj_weakref': None
2022-11-23T01:32:32.8005534Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8005606Z             }
2022-11-23T01:32:32.8005676Z             
2022-11-23T01:32:32.8005753Z  - 
2022-11-23T01:32:32.8005944Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:32.8006014Z             {
2022-11-23T01:32:32.8006163Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8006436Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94768292480384)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:32.8006560Z                 'obj_weakref': None
2022-11-23T01:32:32.8006818Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8006890Z             }
2022-11-23T01:32:32.8006960Z             
2022-11-23T01:32:32.8007229Z [2022-11-23 01:30:54,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 873
2022-11-23T01:32:32.8007507Z [2022-11-23 01:30:54,440] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8007876Z [2022-11-23 01:30:54,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckuhfup64l6smey4zrm6axteuzsc6tlvtnyxjpr4n5y5khcuvguq.py
2022-11-23T01:32:32.8008140Z [2022-11-23 01:30:54,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 873
2022-11-23T01:32:32.8008156Z 
2022-11-23T01:32:32.8008250Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8008326Z import torch
2022-11-23T01:32:32.8008403Z import random
2022-11-23T01:32:32.8008530Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8008662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8008667Z 
2022-11-23T01:32:32.8008753Z aten = torch.ops.aten
2022-11-23T01:32:32.8008895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8008988Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8008995Z 
2022-11-23T01:32:32.8009071Z import triton
2022-11-23T01:32:32.8009172Z import triton.language as tl
2022-11-23T01:32:32.8009301Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8009446Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8009452Z 
2022-11-23T01:32:32.8009457Z 
2022-11-23T01:32:32.8009634Z triton_fused_view_add_1_add0 = async_compile.triton('''
2022-11-23T01:32:32.8009710Z import triton
2022-11-23T01:32:32.8009805Z import triton.language as tl
2022-11-23T01:32:32.8009915Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8010019Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8010157Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8010288Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8010293Z 
2022-11-23T01:32:32.8010696Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.8010775Z @triton.jit
2022-11-23T01:32:32.8010922Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8010998Z     xnumel = 16
2022-11-23T01:32:32.8011090Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8011226Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8011313Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8011388Z     x0 = xindex
2022-11-23T01:32:32.8011490Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8011593Z     tmp3 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:32.8011660Z     tmp1 = 1
2022-11-23T01:32:32.8011742Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8011826Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8011968Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8012056Z ''')
2022-11-23T01:32:32.8012064Z 
2022-11-23T01:32:32.8012069Z 
2022-11-23T01:32:32.8012165Z async_compile.wait(globals())
2022-11-23T01:32:32.8012245Z del async_compile
2022-11-23T01:32:32.8012250Z 
2022-11-23T01:32:32.8012330Z def call(args):
2022-11-23T01:32:32.8012405Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8012484Z     args.clear()
2022-11-23T01:32:32.8012699Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8012810Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8012990Z     triton_fused_view_add_1_add0.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8013076Z     del arg0_1
2022-11-23T01:32:32.8013151Z     del arg1_1
2022-11-23T01:32:32.8013270Z     return (buf0, )
2022-11-23T01:32:32.8013277Z 
2022-11-23T01:32:32.8013288Z 
2022-11-23T01:32:32.8013364Z if __name__ == "__main__":
2022-11-23T01:32:32.8013486Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8013617Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8013844Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8014059Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8014183Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8014189Z 
2022-11-23T01:32:32.8014193Z 
2022-11-23T01:32:32.8014294Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8014362Z import torch
2022-11-23T01:32:32.8014438Z import random
2022-11-23T01:32:32.8014564Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8014691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8014696Z 
2022-11-23T01:32:32.8014785Z aten = torch.ops.aten
2022-11-23T01:32:32.8014925Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8015022Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8015028Z 
2022-11-23T01:32:32.8015103Z import triton
2022-11-23T01:32:32.8015193Z import triton.language as tl
2022-11-23T01:32:32.8015323Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8015468Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8015473Z 
2022-11-23T01:32:32.8015478Z 
2022-11-23T01:32:32.8015653Z triton_fused_view_add_add_10 = async_compile.triton('''
2022-11-23T01:32:32.8015729Z import triton
2022-11-23T01:32:32.8015823Z import triton.language as tl
2022-11-23T01:32:32.8015938Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8016042Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8016171Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8016304Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8016309Z 
2022-11-23T01:32:32.8016700Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.8016779Z @triton.jit
2022-11-23T01:32:32.8016927Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8017003Z     xnumel = 16
2022-11-23T01:32:32.8017104Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8017239Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8017318Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8017391Z     x0 = xindex
2022-11-23T01:32:32.8017516Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8017637Z     tmp3 = tl.load(in_ptr1 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8017709Z     tmp1 = 1
2022-11-23T01:32:32.8017797Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8017871Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8018011Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8018103Z ''')
2022-11-23T01:32:32.8018109Z 
2022-11-23T01:32:32.8018113Z 
2022-11-23T01:32:32.8018210Z async_compile.wait(globals())
2022-11-23T01:32:32.8018289Z del async_compile
2022-11-23T01:32:32.8018294Z 
2022-11-23T01:32:32.8018370Z def call(args):
2022-11-23T01:32:32.8018452Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8018532Z     args.clear()
2022-11-23T01:32:32.8018736Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8018944Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8019103Z     triton_fused_view_add_add_10.run(arg0_1, arg1_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8019178Z     del arg0_1
2022-11-23T01:32:32.8019254Z     del arg1_1
2022-11-23T01:32:32.8019333Z     return (buf0, )
2022-11-23T01:32:32.8019339Z 
2022-11-23T01:32:32.8019398Z 
2022-11-23T01:32:32.8019481Z if __name__ == "__main__":
2022-11-23T01:32:32.8019604Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8019727Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8019930Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8020174Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8020296Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8020302Z 
2022-11-23T01:32:32.8020377Z ok (2.899s)
2022-11-23T01:32:32.8020684Z   test_views2_cuda (__main__.CudaTests) ... [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8021004Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8021230Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8021483Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8021764Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8022090Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8022433Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8022754Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8023128Z [2022-11-23 01:30:54,451] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8023229Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8023332Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8023436Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8023533Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8023624Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8023705Z              10 BINARY_ADD
2022-11-23T01:32:32.8023802Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8023885Z              14 RETURN_VALUE
2022-11-23T01:32:32.8023953Z  
2022-11-23T01:32:32.8023958Z 
2022-11-23T01:32:32.8024274Z [2022-11-23 01:30:54,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8024491Z [2022-11-23 01:30:54,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8024727Z [2022-11-23 01:30:54,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8025010Z [2022-11-23 01:30:54,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8025318Z [2022-11-23 01:30:54,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8025558Z [2022-11-23 01:30:54,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8025841Z [2022-11-23 01:30:54,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8026086Z [2022-11-23 01:30:54,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8026364Z [2022-11-23 01:30:54,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8026741Z [2022-11-23 01:30:54,454] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8027010Z [2022-11-23 01:30:54,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8027248Z [2022-11-23 01:30:54,454] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8027498Z [2022-11-23 01:30:54,455] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8027753Z [2022-11-23 01:30:54,457] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8027946Z [2022-11-23 01:30:54,458] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8035116Z  __compiled_fn_892 <eval_with_key>.5482 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8035241Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8035417Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T01:32:32.8035596Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8035698Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8035706Z 
2022-11-23T01:32:32.8036028Z [2022-11-23 01:30:54,458] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8036133Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8036232Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8036327Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8036428Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8036523Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8036618Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8036703Z              12 RETURN_VALUE
2022-11-23T01:32:32.8036708Z 
2022-11-23T01:32:32.8036768Z  
2022-11-23T01:32:32.8037087Z [2022-11-23 01:30:54,458] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8037208Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_892)
2022-11-23T01:32:32.8037304Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8037403Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8037486Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8037579Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8037684Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8037821Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8037924Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8038016Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8038121Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8038231Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8038327Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8038408Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8038498Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8038602Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8038708Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8038803Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8038886Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8038997Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8039097Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8039194Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8039289Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8039428Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8039543Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8039625Z              48 RETURN_VALUE
2022-11-23T01:32:32.8039631Z 
2022-11-23T01:32:32.8039697Z  
2022-11-23T01:32:32.8039887Z [2022-11-23 01:30:54,459] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8039978Z  - 
2022-11-23T01:32:32.8040104Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8040175Z             {
2022-11-23T01:32:32.8040327Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8040519Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8040645Z                 'obj_weakref': None
2022-11-23T01:32:32.8040873Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8040943Z             }
2022-11-23T01:32:32.8041005Z             
2022-11-23T01:32:32.8041082Z  - 
2022-11-23T01:32:32.8041210Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8041282Z             {
2022-11-23T01:32:32.8041432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8041544Z                 'code': None,
2022-11-23T01:32:32.8041753Z                 'obj_weakref': <weakref at 0x7f1fd82eca40; to 'Tensor' at 0x7f201e6f2110>
2022-11-23T01:32:32.8042009Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8042083Z             }
2022-11-23T01:32:32.8042153Z             
2022-11-23T01:32:32.8042230Z  - 
2022-11-23T01:32:32.8042369Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8042438Z             {
2022-11-23T01:32:32.8042572Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8042747Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8042872Z                 'obj_weakref': None
2022-11-23T01:32:32.8043148Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8043228Z             }
2022-11-23T01:32:32.8043296Z             
2022-11-23T01:32:32.8043373Z  - 
2022-11-23T01:32:32.8043493Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8043563Z             {
2022-11-23T01:32:32.8043706Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8043928Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8044052Z                 'obj_weakref': None
2022-11-23T01:32:32.8044279Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8044349Z             }
2022-11-23T01:32:32.8044410Z             
2022-11-23T01:32:32.8044486Z  - 
2022-11-23T01:32:32.8044672Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8044742Z             {
2022-11-23T01:32:32.8044917Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8045447Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:32.8045575Z                 'obj_weakref': None
2022-11-23T01:32:32.8045802Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8045864Z             }
2022-11-23T01:32:32.8045933Z             
2022-11-23T01:32:32.8046010Z  - 
2022-11-23T01:32:32.8046201Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8046271Z             {
2022-11-23T01:32:32.8046421Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8046738Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.8046863Z                 'obj_weakref': None
2022-11-23T01:32:32.8047081Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8047150Z             }
2022-11-23T01:32:32.8047222Z             
2022-11-23T01:32:32.8047319Z  - 
2022-11-23T01:32:32.8047508Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8047578Z             {
2022-11-23T01:32:32.8047728Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8048007Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8048130Z                 'obj_weakref': None
2022-11-23T01:32:32.8048354Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8048424Z             }
2022-11-23T01:32:32.8048494Z             
2022-11-23T01:32:32.8048766Z [2022-11-23 01:30:54,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 874
2022-11-23T01:32:32.8049022Z [2022-11-23 01:30:54,467] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8049388Z [2022-11-23 01:30:54,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7c/c7cv2gwn76ikgzb3h3vly4xoh5seckffbpctmanssp5ok52w2lsx.py
2022-11-23T01:32:32.8049653Z [2022-11-23 01:30:54,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 874
2022-11-23T01:32:32.8049900Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8050218Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8050443Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8050708Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8050993Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8051323Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8051672Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8051999Z [2022-11-23 01:30:54,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8052380Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8052474Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8052577Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8052680Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8052796Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8052903Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8053001Z              10 BINARY_ADD
2022-11-23T01:32:32.8053098Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8053173Z              14 RETURN_VALUE
2022-11-23T01:32:32.8053240Z  
2022-11-23T01:32:32.8053245Z 
2022-11-23T01:32:32.8053561Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8053775Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8054052Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8054337Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8054639Z [2022-11-23 01:30:54,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8054904Z [2022-11-23 01:30:54,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8055190Z [2022-11-23 01:30:54,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8055428Z [2022-11-23 01:30:54,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8055679Z [2022-11-23 01:30:54,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8056060Z [2022-11-23 01:30:54,533] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8056311Z [2022-11-23 01:30:54,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8056553Z [2022-11-23 01:30:54,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8056814Z [2022-11-23 01:30:54,534] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8057069Z [2022-11-23 01:30:54,537] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8057265Z [2022-11-23 01:30:54,537] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8057409Z  __compiled_fn_893 <eval_with_key>.5488 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8057504Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8057649Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T01:32:32.8057828Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8057930Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8057936Z 
2022-11-23T01:32:32.8058267Z [2022-11-23 01:30:54,537] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8058370Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8058473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8058568Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8058661Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8058755Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8059079Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8059166Z              12 RETURN_VALUE
2022-11-23T01:32:32.8059172Z 
2022-11-23T01:32:32.8059239Z  
2022-11-23T01:32:32.8059570Z [2022-11-23 01:30:54,538] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8059689Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_893)
2022-11-23T01:32:32.8059791Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8059881Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8059965Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8060060Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8060174Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8060318Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8060425Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8060519Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8060616Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8060789Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8060890Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8060973Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8061067Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8061166Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8061300Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8061396Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8061471Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8061581Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8061678Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8061782Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8061878Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8061960Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8062070Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8062147Z              48 RETURN_VALUE
2022-11-23T01:32:32.8062153Z 
2022-11-23T01:32:32.8062220Z  
2022-11-23T01:32:32.8062416Z [2022-11-23 01:30:54,539] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8062493Z  - 
2022-11-23T01:32:32.8062619Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8062689Z             {
2022-11-23T01:32:32.8062837Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8063020Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8063145Z                 'obj_weakref': None
2022-11-23T01:32:32.8063372Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8063443Z             }
2022-11-23T01:32:32.8063511Z             
2022-11-23T01:32:32.8063588Z  - 
2022-11-23T01:32:32.8063717Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8063779Z             {
2022-11-23T01:32:32.8063929Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8064041Z                 'code': None,
2022-11-23T01:32:32.8064255Z                 'obj_weakref': <weakref at 0x7f20726c1da0; to 'Tensor' at 0x7f2022f30180>
2022-11-23T01:32:32.8064508Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8064580Z             }
2022-11-23T01:32:32.8064651Z             
2022-11-23T01:32:32.8064720Z  - 
2022-11-23T01:32:32.8064855Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8064926Z             {
2022-11-23T01:32:32.8065066Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8065241Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8065363Z                 'obj_weakref': None
2022-11-23T01:32:32.8065592Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8065655Z             }
2022-11-23T01:32:32.8065728Z             
2022-11-23T01:32:32.8065808Z  - 
2022-11-23T01:32:32.8065937Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8066007Z             {
2022-11-23T01:32:32.8066149Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8066369Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8066487Z                 'obj_weakref': None
2022-11-23T01:32:32.8066708Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8066776Z             }
2022-11-23T01:32:32.8066846Z             
2022-11-23T01:32:32.8066921Z  - 
2022-11-23T01:32:32.8067104Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8067174Z             {
2022-11-23T01:32:32.8067340Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8067892Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:32.8068019Z                 'obj_weakref': None
2022-11-23T01:32:32.8068270Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8068339Z             }
2022-11-23T01:32:32.8068408Z             
2022-11-23T01:32:32.8068492Z  - 
2022-11-23T01:32:32.8068681Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8068743Z             {
2022-11-23T01:32:32.8068891Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8069179Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.8069303Z                 'obj_weakref': None
2022-11-23T01:32:32.8069530Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8069600Z             }
2022-11-23T01:32:32.8069669Z             
2022-11-23T01:32:32.8069738Z  - 
2022-11-23T01:32:32.8069926Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8070000Z             {
2022-11-23T01:32:32.8070147Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8070540Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8070688Z                 'obj_weakref': None
2022-11-23T01:32:32.8070910Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8070980Z             }
2022-11-23T01:32:32.8071041Z             
2022-11-23T01:32:32.8071306Z [2022-11-23 01:30:54,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 875
2022-11-23T01:32:32.8071556Z [2022-11-23 01:30:54,546] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8071921Z [2022-11-23 01:30:54,606] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5vm2jkjuuw5zspgl3bel3vkfbrsdgs32q4uyyuc4ts2efxmzrc.py
2022-11-23T01:32:32.8072194Z [2022-11-23 01:30:54,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 875
2022-11-23T01:32:32.8072452Z [2022-11-23 01:30:54,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8072796Z [2022-11-23 01:30:54,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8073014Z [2022-11-23 01:30:54,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8073269Z [2022-11-23 01:30:54,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8073539Z [2022-11-23 01:30:54,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8073863Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8074215Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8074542Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8074918Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8075054Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8075157Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8075246Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8075346Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8075439Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8075556Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8075656Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8075735Z              14 BINARY_ADD
2022-11-23T01:32:32.8075831Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8075913Z              18 RETURN_VALUE
2022-11-23T01:32:32.8075980Z  
2022-11-23T01:32:32.8075985Z 
2022-11-23T01:32:32.8076292Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8076510Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8076758Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8077056Z [2022-11-23 01:30:54,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8077310Z [2022-11-23 01:30:54,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8077597Z [2022-11-23 01:30:54,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8077902Z [2022-11-23 01:30:54,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8078144Z [2022-11-23 01:30:54,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8078431Z [2022-11-23 01:30:54,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8078675Z [2022-11-23 01:30:54,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8078918Z [2022-11-23 01:30:54,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8079299Z [2022-11-23 01:30:54,613] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8079554Z [2022-11-23 01:30:54,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8079795Z [2022-11-23 01:30:54,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8080055Z [2022-11-23 01:30:54,615] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8080312Z [2022-11-23 01:30:54,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8080509Z [2022-11-23 01:30:54,618] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8080655Z  __compiled_fn_894 <eval_with_key>.5494 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8080755Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8080927Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8081075Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T01:32:32.8081252Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8081353Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8081358Z 
2022-11-23T01:32:32.8081690Z [2022-11-23 01:30:54,618] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8081793Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8081893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8082016Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8082111Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8082204Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8082301Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8082409Z              12 RETURN_VALUE
2022-11-23T01:32:32.8082415Z 
2022-11-23T01:32:32.8082480Z  
2022-11-23T01:32:32.8082809Z [2022-11-23 01:30:54,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8082929Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_894)
2022-11-23T01:32:32.8083019Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8083116Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8083199Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8083296Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8083410Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8083550Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8083658Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8083753Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8083852Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8083962Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8084059Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8084143Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8084238Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8084338Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8084445Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8084534Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8084615Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8084728Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8084826Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8084931Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8085026Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8085110Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8085211Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8085292Z              48 RETURN_VALUE
2022-11-23T01:32:32.8085297Z 
2022-11-23T01:32:32.8085366Z  
2022-11-23T01:32:32.8085557Z [2022-11-23 01:30:54,619] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8085633Z  - 
2022-11-23T01:32:32.8085757Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8085827Z             {
2022-11-23T01:32:32.8085969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8086162Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8086291Z                 'obj_weakref': None
2022-11-23T01:32:32.8086520Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8086591Z             }
2022-11-23T01:32:32.8086660Z             
2022-11-23T01:32:32.8086737Z  - 
2022-11-23T01:32:32.8086863Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8086932Z             {
2022-11-23T01:32:32.8087085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8087199Z                 'code': None,
2022-11-23T01:32:32.8087418Z                 'obj_weakref': <weakref at 0x7f1fd8bf8590; to 'Tensor' at 0x7f1f25b4db20>
2022-11-23T01:32:32.8087670Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8087740Z             }
2022-11-23T01:32:32.8087801Z             
2022-11-23T01:32:32.8087882Z  - 
2022-11-23T01:32:32.8088024Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8088093Z             {
2022-11-23T01:32:32.8088270Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8088448Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8088572Z                 'obj_weakref': None
2022-11-23T01:32:32.8088800Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8088893Z             }
2022-11-23T01:32:32.8088961Z             
2022-11-23T01:32:32.8089038Z  - 
2022-11-23T01:32:32.8089169Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8089237Z             {
2022-11-23T01:32:32.8089380Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8089594Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8089720Z                 'obj_weakref': None
2022-11-23T01:32:32.8089949Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8090019Z             }
2022-11-23T01:32:32.8090090Z             
2022-11-23T01:32:32.8090166Z  - 
2022-11-23T01:32:32.8090351Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8090413Z             {
2022-11-23T01:32:32.8090587Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8091116Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:32.8091241Z                 'obj_weakref': None
2022-11-23T01:32:32.8091465Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8091534Z             }
2022-11-23T01:32:32.8091603Z             
2022-11-23T01:32:32.8091678Z  - 
2022-11-23T01:32:32.8091864Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8091934Z             {
2022-11-23T01:32:32.8092085Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8092369Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.8092495Z                 'obj_weakref': None
2022-11-23T01:32:32.8092719Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8092789Z             }
2022-11-23T01:32:32.8092858Z             
2022-11-23T01:32:32.8092927Z  - 
2022-11-23T01:32:32.8093118Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8093187Z             {
2022-11-23T01:32:32.8093336Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8093624Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8093748Z                 'obj_weakref': None
2022-11-23T01:32:32.8093968Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8094030Z             }
2022-11-23T01:32:32.8094101Z             
2022-11-23T01:32:32.8094368Z [2022-11-23 01:30:54,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 876
2022-11-23T01:32:32.8094623Z [2022-11-23 01:30:54,631] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8094990Z [2022-11-23 01:30:54,691] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/db/cdb3jnuy7kuwkdqpnouyowil52bm2i3uwi2rmawhjm43gfm7ngrg.py
2022-11-23T01:32:32.8095262Z [2022-11-23 01:30:54,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 876
2022-11-23T01:32:32.8095540Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8095862Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8096088Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8096363Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8096647Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8096972Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8097322Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8097653Z [2022-11-23 01:30:54,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8098032Z [2022-11-23 01:30:54,695] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8098138Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8098237Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8098324Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8098418Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8098518Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8098612Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8098711Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8098912Z              14 BINARY_ADD
2022-11-23T01:32:32.8099014Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8099097Z              18 RETURN_VALUE
2022-11-23T01:32:32.8099156Z  
2022-11-23T01:32:32.8099162Z 
2022-11-23T01:32:32.8099480Z [2022-11-23 01:30:54,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8099700Z [2022-11-23 01:30:54,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8099946Z [2022-11-23 01:30:54,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8100243Z [2022-11-23 01:30:54,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8100492Z [2022-11-23 01:30:54,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8100776Z [2022-11-23 01:30:54,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8101082Z [2022-11-23 01:30:54,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8101324Z [2022-11-23 01:30:54,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8101610Z [2022-11-23 01:30:54,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8101848Z [2022-11-23 01:30:54,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8102098Z [2022-11-23 01:30:54,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8102478Z [2022-11-23 01:30:54,698] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8102771Z [2022-11-23 01:30:54,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8103008Z [2022-11-23 01:30:54,698] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8103268Z [2022-11-23 01:30:54,699] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8103560Z [2022-11-23 01:30:54,702] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8103755Z [2022-11-23 01:30:54,703] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8103897Z  __compiled_fn_895 <eval_with_key>.5500 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8103985Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8104163Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8104312Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T01:32:32.8104488Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8104592Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8104598Z 
2022-11-23T01:32:32.8104930Z [2022-11-23 01:30:54,703] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8105034Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8105135Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8105223Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8105323Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8105417Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8105515Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8105598Z              12 RETURN_VALUE
2022-11-23T01:32:32.8105604Z 
2022-11-23T01:32:32.8105670Z  
2022-11-23T01:32:32.8105994Z [2022-11-23 01:30:54,703] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8106114Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_895)
2022-11-23T01:32:32.8106205Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8106302Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8106387Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8106488Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8106600Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8106737Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8106843Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8106930Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8107037Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8107146Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8107245Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8107331Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8107426Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8107525Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8107625Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8107722Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8107807Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8107917Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8108015Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8108120Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8108219Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8108294Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8108403Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8108484Z              48 RETURN_VALUE
2022-11-23T01:32:32.8108489Z 
2022-11-23T01:32:32.8108561Z  
2022-11-23T01:32:32.8108794Z [2022-11-23 01:30:54,704] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8108871Z  - 
2022-11-23T01:32:32.8108999Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8109061Z             {
2022-11-23T01:32:32.8109208Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8109422Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8109547Z                 'obj_weakref': None
2022-11-23T01:32:32.8109774Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8109845Z             }
2022-11-23T01:32:32.8109914Z             
2022-11-23T01:32:32.8109984Z  - 
2022-11-23T01:32:32.8110114Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8110184Z             {
2022-11-23T01:32:32.8110411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8110527Z                 'code': None,
2022-11-23T01:32:32.8110748Z                 'obj_weakref': <weakref at 0x7f1fd8138f40; to 'Tensor' at 0x7f1f25ba49a0>
2022-11-23T01:32:32.8111002Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8111071Z             }
2022-11-23T01:32:32.8111133Z             
2022-11-23T01:32:32.8111212Z  - 
2022-11-23T01:32:32.8111348Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8111418Z             {
2022-11-23T01:32:32.8111559Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8111734Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8111851Z                 'obj_weakref': None
2022-11-23T01:32:32.8112081Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8112153Z             }
2022-11-23T01:32:32.8112225Z             
2022-11-23T01:32:32.8112300Z  - 
2022-11-23T01:32:32.8112428Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8112497Z             {
2022-11-23T01:32:32.8112635Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8112857Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8112983Z                 'obj_weakref': None
2022-11-23T01:32:32.8113208Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8113280Z             }
2022-11-23T01:32:32.8113350Z             
2022-11-23T01:32:32.8113425Z  - 
2022-11-23T01:32:32.8113601Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8113671Z             {
2022-11-23T01:32:32.8113847Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8114377Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:32.8114502Z                 'obj_weakref': None
2022-11-23T01:32:32.8114730Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8114801Z             }
2022-11-23T01:32:32.8114871Z             
2022-11-23T01:32:32.8114939Z  - 
2022-11-23T01:32:32.8115131Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8115200Z             {
2022-11-23T01:32:32.8115353Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8115634Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:32.8115760Z                 'obj_weakref': None
2022-11-23T01:32:32.8115986Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8116056Z             }
2022-11-23T01:32:32.8116151Z             
2022-11-23T01:32:32.8116229Z  - 
2022-11-23T01:32:32.8116421Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8116491Z             {
2022-11-23T01:32:32.8116640Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8116947Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8117072Z                 'obj_weakref': None
2022-11-23T01:32:32.8117286Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8117356Z             }
2022-11-23T01:32:32.8117423Z             
2022-11-23T01:32:32.8117690Z [2022-11-23 01:30:54,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 877
2022-11-23T01:32:32.8117942Z [2022-11-23 01:30:54,715] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8118305Z [2022-11-23 01:30:54,776] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca26fj6cx2fermcsu4uygi2zmbvnlinrpi6ca4qvsz65eo7yfbtd.py
2022-11-23T01:32:32.8118574Z [2022-11-23 01:30:54,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 877
2022-11-23T01:32:32.8118817Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8119132Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8119347Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8119605Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8119887Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8120211Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8120558Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8120890Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8121267Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8121373Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8121478Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8121575Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8121671Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8121768Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8121847Z              10 BINARY_ADD
2022-11-23T01:32:32.8121944Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8122030Z              14 RETURN_VALUE
2022-11-23T01:32:32.8122099Z  
2022-11-23T01:32:32.8122104Z 
2022-11-23T01:32:32.8122423Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8122633Z [2022-11-23 01:30:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8122881Z [2022-11-23 01:30:54,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8123170Z [2022-11-23 01:30:54,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8123504Z [2022-11-23 01:30:54,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8123751Z [2022-11-23 01:30:54,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8124078Z [2022-11-23 01:30:54,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8124324Z [2022-11-23 01:30:54,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8124575Z [2022-11-23 01:30:54,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8124954Z [2022-11-23 01:30:54,783] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8125207Z [2022-11-23 01:30:54,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8125439Z [2022-11-23 01:30:54,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8125700Z [2022-11-23 01:30:54,784] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8125958Z [2022-11-23 01:30:54,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8126154Z [2022-11-23 01:30:54,786] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8126297Z  __compiled_fn_896 <eval_with_key>.5506 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8126392Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8126549Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T01:32:32.8126727Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8126821Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8126826Z 
2022-11-23T01:32:32.8127159Z [2022-11-23 01:30:54,787] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8127262Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8127364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8127466Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8127566Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8127659Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8127756Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8127830Z              12 RETURN_VALUE
2022-11-23T01:32:32.8127835Z 
2022-11-23T01:32:32.8127902Z  
2022-11-23T01:32:32.8128226Z [2022-11-23 01:30:54,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8128343Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_896)
2022-11-23T01:32:32.8128443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8128541Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8128623Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8128709Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8128823Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8128960Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8129065Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8129158Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8129261Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8129370Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8129467Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8129542Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8129636Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8129761Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8129870Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8129964Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8130046Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8130176Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8130265Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8130370Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8130464Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8130546Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8130653Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8130733Z              48 RETURN_VALUE
2022-11-23T01:32:32.8130738Z 
2022-11-23T01:32:32.8130804Z  
2022-11-23T01:32:32.8130989Z [2022-11-23 01:30:54,788] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8131064Z  - 
2022-11-23T01:32:32.8131191Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8131261Z             {
2022-11-23T01:32:32.8131410Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8131602Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8131732Z                 'obj_weakref': None
2022-11-23T01:32:32.8131951Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8132023Z             }
2022-11-23T01:32:32.8132091Z             
2022-11-23T01:32:32.8132168Z  - 
2022-11-23T01:32:32.8132298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8132366Z             {
2022-11-23T01:32:32.8132518Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8132624Z                 'code': None,
2022-11-23T01:32:32.8132840Z                 'obj_weakref': <weakref at 0x7f1fd8cc7470; to 'Tensor' at 0x7f1f25ba49a0>
2022-11-23T01:32:32.8133095Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8133167Z             }
2022-11-23T01:32:32.8133236Z             
2022-11-23T01:32:32.8133311Z  - 
2022-11-23T01:32:32.8133448Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8133511Z             {
2022-11-23T01:32:32.8133652Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8133827Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8133949Z                 'obj_weakref': None
2022-11-23T01:32:32.8134182Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8134250Z             }
2022-11-23T01:32:32.8134319Z             
2022-11-23T01:32:32.8134387Z  - 
2022-11-23T01:32:32.8134513Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8134581Z             {
2022-11-23T01:32:32.8134725Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8134947Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8135071Z                 'obj_weakref': None
2022-11-23T01:32:32.8135295Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8135358Z             }
2022-11-23T01:32:32.8135426Z             
2022-11-23T01:32:32.8135502Z  - 
2022-11-23T01:32:32.8135685Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8135753Z             {
2022-11-23T01:32:32.8135928Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8136454Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:32.8136610Z                 'obj_weakref': None
2022-11-23T01:32:32.8136828Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8136898Z             }
2022-11-23T01:32:32.8136967Z             
2022-11-23T01:32:32.8137068Z  - 
2022-11-23T01:32:32.8137258Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8137327Z             {
2022-11-23T01:32:32.8137475Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8137754Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:32.8137879Z                 'obj_weakref': None
2022-11-23T01:32:32.8138099Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8138168Z             }
2022-11-23T01:32:32.8138236Z             
2022-11-23T01:32:32.8138311Z  - 
2022-11-23T01:32:32.8138502Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8138564Z             {
2022-11-23T01:32:32.8138711Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8139183Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.8139314Z                 'obj_weakref': None
2022-11-23T01:32:32.8139535Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8139604Z             }
2022-11-23T01:32:32.8139674Z             
2022-11-23T01:32:32.8139938Z [2022-11-23 01:30:54,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 878
2022-11-23T01:32:32.8140183Z [2022-11-23 01:30:54,796] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8140197Z 
2022-11-23T01:32:32.8140289Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8140365Z import torch
2022-11-23T01:32:32.8140440Z import random
2022-11-23T01:32:32.8140566Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8140692Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8140698Z 
2022-11-23T01:32:32.8140786Z aten = torch.ops.aten
2022-11-23T01:32:32.8140931Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8141023Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8141028Z 
2022-11-23T01:32:32.8141104Z import triton
2022-11-23T01:32:32.8141198Z import triton.language as tl
2022-11-23T01:32:32.8141326Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8141470Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8141476Z 
2022-11-23T01:32:32.8141480Z 
2022-11-23T01:32:32.8141643Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8141720Z import triton
2022-11-23T01:32:32.8141814Z import triton.language as tl
2022-11-23T01:32:32.8141923Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8142025Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8142163Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8142291Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8142299Z 
2022-11-23T01:32:32.8142671Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8142744Z @triton.jit
2022-11-23T01:32:32.8142879Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8142946Z     xnumel = 16
2022-11-23T01:32:32.8143044Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8143177Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8143265Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8143395Z     x0 = xindex
2022-11-23T01:32:32.8143496Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8143568Z     tmp1 = 1
2022-11-23T01:32:32.8143640Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8143778Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8143895Z ''')
2022-11-23T01:32:32.8143900Z 
2022-11-23T01:32:32.8143905Z 
2022-11-23T01:32:32.8143998Z async_compile.wait(globals())
2022-11-23T01:32:32.8144076Z del async_compile
2022-11-23T01:32:32.8144081Z 
2022-11-23T01:32:32.8144156Z def call(args):
2022-11-23T01:32:32.8144229Z     arg0_1, = args
2022-11-23T01:32:32.8144306Z     args.clear()
2022-11-23T01:32:32.8144500Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8144592Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8144735Z     triton_fused_view_add0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8144810Z     del arg0_1
2022-11-23T01:32:32.8144889Z     return (buf0, )
2022-11-23T01:32:32.8144898Z 
2022-11-23T01:32:32.8144903Z 
2022-11-23T01:32:32.8144983Z if __name__ == "__main__":
2022-11-23T01:32:32.8145103Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8145226Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8145443Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8145559Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8145564Z 
2022-11-23T01:32:32.8145568Z 
2022-11-23T01:32:32.8145667Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8145742Z import torch
2022-11-23T01:32:32.8145817Z import random
2022-11-23T01:32:32.8145940Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8146066Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8146071Z 
2022-11-23T01:32:32.8146147Z aten = torch.ops.aten
2022-11-23T01:32:32.8146288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8146389Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8146395Z 
2022-11-23T01:32:32.8146470Z import triton
2022-11-23T01:32:32.8146563Z import triton.language as tl
2022-11-23T01:32:32.8146691Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8146839Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8146845Z 
2022-11-23T01:32:32.8146849Z 
2022-11-23T01:32:32.8147016Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8147085Z import triton
2022-11-23T01:32:32.8147178Z import triton.language as tl
2022-11-23T01:32:32.8147296Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8147400Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8147534Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8147662Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8147667Z 
2022-11-23T01:32:32.8148037Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8148118Z @triton.jit
2022-11-23T01:32:32.8148245Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8148324Z     xnumel = 16
2022-11-23T01:32:32.8148423Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8148555Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8148640Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8148712Z     x0 = xindex
2022-11-23T01:32:32.8148833Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8148897Z     tmp1 = 1
2022-11-23T01:32:32.8148977Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8149114Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8149202Z ''')
2022-11-23T01:32:32.8149207Z 
2022-11-23T01:32:32.8149211Z 
2022-11-23T01:32:32.8149336Z async_compile.wait(globals())
2022-11-23T01:32:32.8149417Z del async_compile
2022-11-23T01:32:32.8149422Z 
2022-11-23T01:32:32.8149500Z def call(args):
2022-11-23T01:32:32.8149577Z     arg0_1, = args
2022-11-23T01:32:32.8149646Z     args.clear()
2022-11-23T01:32:32.8149844Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8149959Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8150103Z     triton_fused_view_add0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8150178Z     del arg0_1
2022-11-23T01:32:32.8150321Z     return (buf0, )
2022-11-23T01:32:32.8150327Z 
2022-11-23T01:32:32.8150332Z 
2022-11-23T01:32:32.8150436Z if __name__ == "__main__":
2022-11-23T01:32:32.8150549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8150682Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8150894Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8151011Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8151016Z 
2022-11-23T01:32:32.8151021Z 
2022-11-23T01:32:32.8151120Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8151195Z import torch
2022-11-23T01:32:32.8151271Z import random
2022-11-23T01:32:32.8151394Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8151513Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8151518Z 
2022-11-23T01:32:32.8151606Z aten = torch.ops.aten
2022-11-23T01:32:32.8151751Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8151848Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8151854Z 
2022-11-23T01:32:32.8151929Z import triton
2022-11-23T01:32:32.8152025Z import triton.language as tl
2022-11-23T01:32:32.8152153Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8152295Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8152300Z 
2022-11-23T01:32:32.8152304Z 
2022-11-23T01:32:32.8152470Z triton_fused_add_view_mul0 = async_compile.triton('''
2022-11-23T01:32:32.8152545Z import triton
2022-11-23T01:32:32.8152639Z import triton.language as tl
2022-11-23T01:32:32.8152754Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8152859Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8152999Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8153125Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8153130Z 
2022-11-23T01:32:32.8153503Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8153570Z @triton.jit
2022-11-23T01:32:32.8153706Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8153781Z     xnumel = 16
2022-11-23T01:32:32.8153879Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8154019Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8154103Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8154176Z     x0 = xindex
2022-11-23T01:32:32.8154267Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8154339Z     tmp1 = 2
2022-11-23T01:32:32.8154421Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8154492Z     tmp3 = 1
2022-11-23T01:32:32.8154571Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8154707Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8154794Z ''')
2022-11-23T01:32:32.8154800Z 
2022-11-23T01:32:32.8154804Z 
2022-11-23T01:32:32.8154891Z async_compile.wait(globals())
2022-11-23T01:32:32.8154969Z del async_compile
2022-11-23T01:32:32.8154974Z 
2022-11-23T01:32:32.8155050Z def call(args):
2022-11-23T01:32:32.8155124Z     arg0_1, = args
2022-11-23T01:32:32.8155201Z     args.clear()
2022-11-23T01:32:32.8155395Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8155532Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8155676Z     triton_fused_add_view_mul0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8155750Z     del arg0_1
2022-11-23T01:32:32.8155828Z     return (buf0, )
2022-11-23T01:32:32.8155854Z 
2022-11-23T01:32:32.8155858Z 
2022-11-23T01:32:32.8155941Z if __name__ == "__main__":
2022-11-23T01:32:32.8156061Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8156192Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8156405Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8156519Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8156524Z 
2022-11-23T01:32:32.8156529Z 
2022-11-23T01:32:32.8156629Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8156697Z import torch
2022-11-23T01:32:32.8156772Z import random
2022-11-23T01:32:32.8156894Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8157023Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8157028Z 
2022-11-23T01:32:32.8157111Z aten = torch.ops.aten
2022-11-23T01:32:32.8157249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8157350Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8157355Z 
2022-11-23T01:32:32.8157422Z import triton
2022-11-23T01:32:32.8157515Z import triton.language as tl
2022-11-23T01:32:32.8157643Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8157788Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8157793Z 
2022-11-23T01:32:32.8157798Z 
2022-11-23T01:32:32.8157969Z triton_fused_mul_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8158045Z import triton
2022-11-23T01:32:32.8158138Z import triton.language as tl
2022-11-23T01:32:32.8158254Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8158351Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8158489Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8158616Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8158621Z 
2022-11-23T01:32:32.8158995Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8159071Z @triton.jit
2022-11-23T01:32:32.8159206Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8159281Z     xnumel = 16
2022-11-23T01:32:32.8159379Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8159504Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8159591Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8159663Z     x0 = xindex
2022-11-23T01:32:32.8159783Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8159855Z     tmp1 = 2
2022-11-23T01:32:32.8159938Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8160002Z     tmp3 = 1
2022-11-23T01:32:32.8160083Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8160223Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8160309Z ''')
2022-11-23T01:32:32.8160315Z 
2022-11-23T01:32:32.8160322Z 
2022-11-23T01:32:32.8160415Z async_compile.wait(globals())
2022-11-23T01:32:32.8160493Z del async_compile
2022-11-23T01:32:32.8160498Z 
2022-11-23T01:32:32.8160575Z def call(args):
2022-11-23T01:32:32.8160648Z     arg0_1, = args
2022-11-23T01:32:32.8160717Z     args.clear()
2022-11-23T01:32:32.8160916Z     buf0 = empty_strided((4, 4), (4, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8161007Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8161155Z     triton_fused_mul_view_add0.run(arg0_1, buf0, 16, grid=grid(16), stream=stream0)
2022-11-23T01:32:32.8161230Z     del arg0_1
2022-11-23T01:32:32.8161307Z     return (buf0, )
2022-11-23T01:32:32.8161312Z 
2022-11-23T01:32:32.8161316Z 
2022-11-23T01:32:32.8161426Z if __name__ == "__main__":
2022-11-23T01:32:32.8161549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8161671Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8161882Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8162026Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8162031Z 
2022-11-23T01:32:32.8162403Z [2022-11-23 01:30:54,859] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nf/cnfxotvnbrlq5fywcxuqeefzbqm6zzk6agdbv4uqszvusi6pyijf.py
2022-11-23T01:32:32.8162673Z [2022-11-23 01:30:54,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 878
2022-11-23T01:32:32.8162914Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8163232Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8163454Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8163708Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8163982Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8164300Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8164649Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8164977Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8165348Z [2022-11-23 01:30:54,862] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8165447Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8165549Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8165649Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8165743Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8165834Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8165913Z              10 BINARY_ADD
2022-11-23T01:32:32.8166010Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8166091Z              14 RETURN_VALUE
2022-11-23T01:32:32.8166156Z  
2022-11-23T01:32:32.8166161Z 
2022-11-23T01:32:32.8166476Z [2022-11-23 01:30:54,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8166689Z [2022-11-23 01:30:54,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8166937Z [2022-11-23 01:30:54,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8167213Z [2022-11-23 01:30:54,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8167518Z [2022-11-23 01:30:54,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8167758Z [2022-11-23 01:30:54,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8168034Z [2022-11-23 01:30:54,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8168318Z [2022-11-23 01:30:54,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8168565Z [2022-11-23 01:30:54,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8168936Z [2022-11-23 01:30:54,865] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8169204Z [2022-11-23 01:30:54,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8169439Z [2022-11-23 01:30:54,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8169693Z [2022-11-23 01:30:54,866] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8169941Z [2022-11-23 01:30:54,868] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8170135Z [2022-11-23 01:30:54,869] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8170280Z  __compiled_fn_897 <eval_with_key>.5512 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8170374Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8170527Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T01:32:32.8170703Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8170808Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8170813Z 
2022-11-23T01:32:32.8171144Z [2022-11-23 01:30:54,869] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8171237Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8171335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8171431Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8171531Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8171623Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8171722Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8171803Z              12 RETURN_VALUE
2022-11-23T01:32:32.8171808Z 
2022-11-23T01:32:32.8171866Z  
2022-11-23T01:32:32.8172189Z [2022-11-23 01:30:54,869] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8172316Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_897)
2022-11-23T01:32:32.8172412Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8172509Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8172591Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8172685Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8172796Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8172924Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8173028Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8173124Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8173226Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8173334Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8173431Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8173517Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8173605Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8173705Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8173811Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8173907Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8173987Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8174098Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8174198Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8174303Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8174419Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8174503Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8174611Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8174691Z              48 RETURN_VALUE
2022-11-23T01:32:32.8174696Z 
2022-11-23T01:32:32.8174784Z  
2022-11-23T01:32:32.8174978Z [2022-11-23 01:30:54,870] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8175055Z  - 
2022-11-23T01:32:32.8175173Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8175241Z             {
2022-11-23T01:32:32.8175390Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8175583Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8175708Z                 'obj_weakref': None
2022-11-23T01:32:32.8175937Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8176006Z             }
2022-11-23T01:32:32.8176066Z             
2022-11-23T01:32:32.8176148Z  - 
2022-11-23T01:32:32.8176277Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8176347Z             {
2022-11-23T01:32:32.8176494Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8176607Z                 'code': None,
2022-11-23T01:32:32.8176828Z                 'obj_weakref': <weakref at 0x7f1fd9a8ca40; to 'Tensor' at 0x7f1fd80ed4e0>
2022-11-23T01:32:32.8177074Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8177144Z             }
2022-11-23T01:32:32.8177213Z             
2022-11-23T01:32:32.8177289Z  - 
2022-11-23T01:32:32.8177424Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8177493Z             {
2022-11-23T01:32:32.8177635Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8177802Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8177925Z                 'obj_weakref': None
2022-11-23T01:32:32.8178164Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8178238Z             }
2022-11-23T01:32:32.8178307Z             
2022-11-23T01:32:32.8178383Z  - 
2022-11-23T01:32:32.8178510Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8178575Z             {
2022-11-23T01:32:32.8178715Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8179057Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8179182Z                 'obj_weakref': None
2022-11-23T01:32:32.8179410Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8179478Z             }
2022-11-23T01:32:32.8179546Z             
2022-11-23T01:32:32.8179614Z  - 
2022-11-23T01:32:32.8179800Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8179869Z             {
2022-11-23T01:32:32.8180045Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8180576Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:32.8180705Z                 'obj_weakref': None
2022-11-23T01:32:32.8180931Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8180998Z             }
2022-11-23T01:32:32.8181059Z             
2022-11-23T01:32:32.8181135Z  - 
2022-11-23T01:32:32.8181325Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8181394Z             {
2022-11-23T01:32:32.8181544Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8181870Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:32.8181996Z                 'obj_weakref': None
2022-11-23T01:32:32.8182210Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8182306Z             }
2022-11-23T01:32:32.8182374Z             
2022-11-23T01:32:32.8182450Z  - 
2022-11-23T01:32:32.8182640Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8182708Z             {
2022-11-23T01:32:32.8182856Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8183132Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.8183255Z                 'obj_weakref': None
2022-11-23T01:32:32.8183475Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8183546Z             }
2022-11-23T01:32:32.8183616Z             
2022-11-23T01:32:32.8183883Z [2022-11-23 01:30:54,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 879
2022-11-23T01:32:32.8184137Z [2022-11-23 01:30:54,878] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8184510Z [2022-11-23 01:30:54,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rc/crcdzxnwhtrp6wjrymh6s4ne6bei27ieuxvkvikkqach2wnxeorv.py
2022-11-23T01:32:32.8184770Z [2022-11-23 01:30:54,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 879
2022-11-23T01:32:32.8185011Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8185324Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8185548Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8185802Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8186077Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8186396Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8186737Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8187056Z [2022-11-23 01:30:54,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8187428Z [2022-11-23 01:30:54,944] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8187527Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8187618Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8187706Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8187806Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8187905Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8187998Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8188093Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8188171Z              14 BINARY_ADD
2022-11-23T01:32:32.8188259Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8188341Z              18 RETURN_VALUE
2022-11-23T01:32:32.8188407Z  
2022-11-23T01:32:32.8188413Z 
2022-11-23T01:32:32.8188751Z [2022-11-23 01:30:54,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8188968Z [2022-11-23 01:30:54,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8189209Z [2022-11-23 01:30:54,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8189523Z [2022-11-23 01:30:54,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8189765Z [2022-11-23 01:30:54,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8190038Z [2022-11-23 01:30:54,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8190418Z [2022-11-23 01:30:54,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8190668Z [2022-11-23 01:30:54,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8190951Z [2022-11-23 01:30:54,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8191195Z [2022-11-23 01:30:54,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8191448Z [2022-11-23 01:30:54,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8191827Z [2022-11-23 01:30:54,947] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8192076Z [2022-11-23 01:30:54,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8192316Z [2022-11-23 01:30:54,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8192579Z [2022-11-23 01:30:54,948] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8192827Z [2022-11-23 01:30:54,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8193020Z [2022-11-23 01:30:54,951] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8193165Z  __compiled_fn_898 <eval_with_key>.5518 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8193261Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8193440Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8193589Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T01:32:32.8193764Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8193865Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8193871Z 
2022-11-23T01:32:32.8194197Z [2022-11-23 01:30:54,952] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8194299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8194396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8194488Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8194591Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8194684Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8194778Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8194852Z              12 RETURN_VALUE
2022-11-23T01:32:32.8194864Z 
2022-11-23T01:32:32.8194922Z  
2022-11-23T01:32:32.8195248Z [2022-11-23 01:30:54,952] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8195367Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_898)
2022-11-23T01:32:32.8195464Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8195593Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8195677Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8195771Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8195874Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8196011Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8196137Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8196231Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8196333Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8196441Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8196536Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8196619Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8196706Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8196805Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8196914Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8197009Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8197090Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8197200Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8197297Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8197398Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8197493Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8197574Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8197681Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8197762Z              48 RETURN_VALUE
2022-11-23T01:32:32.8197768Z 
2022-11-23T01:32:32.8197833Z  
2022-11-23T01:32:32.8198022Z [2022-11-23 01:30:54,953] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8198091Z  - 
2022-11-23T01:32:32.8198215Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8198283Z             {
2022-11-23T01:32:32.8198432Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8198623Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8198746Z                 'obj_weakref': None
2022-11-23T01:32:32.8198968Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8199034Z             }
2022-11-23T01:32:32.8199101Z             
2022-11-23T01:32:32.8199177Z  - 
2022-11-23T01:32:32.8199305Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8199374Z             {
2022-11-23T01:32:32.8199522Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8199633Z                 'code': None,
2022-11-23T01:32:32.8199839Z                 'obj_weakref': <weakref at 0x7f1fe80f98f0; to 'Tensor' at 0x7f1fd80ed4e0>
2022-11-23T01:32:32.8200088Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8200157Z             }
2022-11-23T01:32:32.8200227Z             
2022-11-23T01:32:32.8200303Z  - 
2022-11-23T01:32:32.8200441Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8200510Z             {
2022-11-23T01:32:32.8200643Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8200822Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8200945Z                 'obj_weakref': None
2022-11-23T01:32:32.8201180Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8201249Z             }
2022-11-23T01:32:32.8201317Z             
2022-11-23T01:32:32.8201393Z  - 
2022-11-23T01:32:32.8201512Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8201580Z             {
2022-11-23T01:32:32.8201722Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8201944Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8202107Z                 'obj_weakref': None
2022-11-23T01:32:32.8202337Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8202407Z             }
2022-11-23T01:32:32.8202468Z             
2022-11-23T01:32:32.8202543Z  - 
2022-11-23T01:32:32.8202750Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8202820Z             {
2022-11-23T01:32:32.8202994Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8203529Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:32.8203654Z                 'obj_weakref': None
2022-11-23T01:32:32.8203882Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8203944Z             }
2022-11-23T01:32:32.8204011Z             
2022-11-23T01:32:32.8204088Z  - 
2022-11-23T01:32:32.8204277Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8204354Z             {
2022-11-23T01:32:32.8204505Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8204789Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:32.8204905Z                 'obj_weakref': None
2022-11-23T01:32:32.8205128Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8205199Z             }
2022-11-23T01:32:32.8205266Z             
2022-11-23T01:32:32.8205341Z  - 
2022-11-23T01:32:32.8205531Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8205600Z             {
2022-11-23T01:32:32.8205743Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8206028Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.8206150Z                 'obj_weakref': None
2022-11-23T01:32:32.8206377Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8206446Z             }
2022-11-23T01:32:32.8206514Z             
2022-11-23T01:32:32.8206779Z [2022-11-23 01:30:54,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 880
2022-11-23T01:32:32.8207031Z [2022-11-23 01:30:54,963] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8207382Z [2022-11-23 01:30:55,032] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/cey4vn4jb4qisehiluo4fgnqqzk72u55msqu4ic3zmumjxkmffpe.py
2022-11-23T01:32:32.8207655Z [2022-11-23 01:30:55,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 880
2022-11-23T01:32:32.8207897Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8208216Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8208442Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8208699Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8208979Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8209302Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8209681Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8210004Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8210406Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8210499Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8210598Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8210684Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8210785Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8210885Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8210978Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8211076Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8211148Z              14 BINARY_ADD
2022-11-23T01:32:32.8211242Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8211324Z              18 RETURN_VALUE
2022-11-23T01:32:32.8211391Z  
2022-11-23T01:32:32.8211397Z 
2022-11-23T01:32:32.8211715Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8211933Z [2022-11-23 01:30:55,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8212176Z [2022-11-23 01:30:55,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8212475Z [2022-11-23 01:30:55,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8212717Z [2022-11-23 01:30:55,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8213003Z [2022-11-23 01:30:55,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8213310Z [2022-11-23 01:30:55,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8213556Z [2022-11-23 01:30:55,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8213839Z [2022-11-23 01:30:55,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8214085Z [2022-11-23 01:30:55,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8214334Z [2022-11-23 01:30:55,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8214712Z [2022-11-23 01:30:55,038] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8214962Z [2022-11-23 01:30:55,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8215206Z [2022-11-23 01:30:55,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8215458Z [2022-11-23 01:30:55,040] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8215713Z [2022-11-23 01:30:55,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8215910Z [2022-11-23 01:30:55,044] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8216052Z  __compiled_fn_899 <eval_with_key>.5524 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8216148Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8216357Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8216509Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T01:32:32.8216687Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8216780Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8216785Z 
2022-11-23T01:32:32.8217138Z [2022-11-23 01:30:55,044] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8217238Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8217336Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8217430Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8217533Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8217625Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8217721Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8217795Z              12 RETURN_VALUE
2022-11-23T01:32:32.8217800Z 
2022-11-23T01:32:32.8217870Z  
2022-11-23T01:32:32.8218195Z [2022-11-23 01:30:55,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8218314Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_899)
2022-11-23T01:32:32.8218413Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8218510Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8218592Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8218678Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8218970Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8219110Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8219216Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8219310Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8219417Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8219531Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8219627Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8219702Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8219799Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8219903Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8220010Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8220106Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8220187Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8220297Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8220389Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8220495Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8220590Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8220670Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8220781Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8220862Z              48 RETURN_VALUE
2022-11-23T01:32:32.8220867Z 
2022-11-23T01:32:32.8220933Z  
2022-11-23T01:32:32.8221123Z [2022-11-23 01:30:55,046] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8221202Z  - 
2022-11-23T01:32:32.8221329Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8221398Z             {
2022-11-23T01:32:32.8221546Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8221741Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8221867Z                 'obj_weakref': None
2022-11-23T01:32:32.8222087Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8222157Z             }
2022-11-23T01:32:32.8222228Z             
2022-11-23T01:32:32.8222306Z  - 
2022-11-23T01:32:32.8222437Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8222506Z             {
2022-11-23T01:32:32.8222709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8222817Z                 'code': None,
2022-11-23T01:32:32.8223037Z                 'obj_weakref': <weakref at 0x7f201e6e0db0; to 'Tensor' at 0x7f1fd8cc4900>
2022-11-23T01:32:32.8223290Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8223388Z             }
2022-11-23T01:32:32.8223458Z             
2022-11-23T01:32:32.8223535Z  - 
2022-11-23T01:32:32.8223672Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8223734Z             {
2022-11-23T01:32:32.8223879Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8224056Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8224180Z                 'obj_weakref': None
2022-11-23T01:32:32.8224415Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8224484Z             }
2022-11-23T01:32:32.8224555Z             
2022-11-23T01:32:32.8224624Z  - 
2022-11-23T01:32:32.8224751Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8224821Z             {
2022-11-23T01:32:32.8224963Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8225189Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8225313Z                 'obj_weakref': None
2022-11-23T01:32:32.8225543Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8225605Z             }
2022-11-23T01:32:32.8225674Z             
2022-11-23T01:32:32.8225751Z  - 
2022-11-23T01:32:32.8225935Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8226005Z             {
2022-11-23T01:32:32.8226180Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8226711Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:32.8226840Z                 'obj_weakref': None
2022-11-23T01:32:32.8227060Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8227131Z             }
2022-11-23T01:32:32.8227202Z             
2022-11-23T01:32:32.8227278Z  - 
2022-11-23T01:32:32.8227467Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8227537Z             {
2022-11-23T01:32:32.8227688Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8227965Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:32.8228093Z                 'obj_weakref': None
2022-11-23T01:32:32.8228314Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8228383Z             }
2022-11-23T01:32:32.8228452Z             
2022-11-23T01:32:32.8228528Z  - 
2022-11-23T01:32:32.8228720Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8228789Z             {
2022-11-23T01:32:32.8228929Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8229212Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:32.8229336Z                 'obj_weakref': None
2022-11-23T01:32:32.8229557Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8229626Z             }
2022-11-23T01:32:32.8229698Z             
2022-11-23T01:32:32.8230011Z [2022-11-23 01:30:55,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 881
2022-11-23T01:32:32.8230326Z [2022-11-23 01:30:55,056] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8230713Z [2022-11-23 01:30:55,119] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xf/cxfo6xc6k6mxpgetosfmqq3wld2575n66zkw6vdrgny72mz5fujk.py
2022-11-23T01:32:32.8231013Z [2022-11-23 01:30:55,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 881
2022-11-23T01:32:32.8231254Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8231572Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8231795Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8232055Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8232333Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8232649Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8232996Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8233307Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8233676Z [2022-11-23 01:30:55,123] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8233779Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8233882Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8233981Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8234074Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8234182Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8234263Z              10 BINARY_ADD
2022-11-23T01:32:32.8234352Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8234435Z              14 RETURN_VALUE
2022-11-23T01:32:32.8234501Z  
2022-11-23T01:32:32.8234641Z 
2022-11-23T01:32:32.8234953Z [2022-11-23 01:30:55,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8235405Z [2022-11-23 01:30:55,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8235817Z [2022-11-23 01:30:55,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8236298Z [2022-11-23 01:30:55,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8236822Z [2022-11-23 01:30:55,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8237300Z [2022-11-23 01:30:55,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8237766Z [2022-11-23 01:30:55,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8238228Z [2022-11-23 01:30:55,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8238674Z [2022-11-23 01:30:55,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8239283Z [2022-11-23 01:30:55,126] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8239796Z [2022-11-23 01:30:55,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8240257Z [2022-11-23 01:30:55,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8240705Z [2022-11-23 01:30:55,127] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8241161Z [2022-11-23 01:30:55,129] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8241547Z [2022-11-23 01:30:55,130] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8241859Z  __compiled_fn_900 <eval_with_key>.5530 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8242123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8242405Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T01:32:32.8242725Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8242999Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8243159Z 
2022-11-23T01:32:32.8243510Z [2022-11-23 01:30:55,130] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8243854Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8244088Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8244315Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8244540Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8244765Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8244987Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8245200Z              12 RETURN_VALUE
2022-11-23T01:32:32.8245317Z 
2022-11-23T01:32:32.8245385Z  
2022-11-23T01:32:32.8245815Z [2022-11-23 01:30:55,130] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8246179Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_900)
2022-11-23T01:32:32.8246417Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8246649Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8246861Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8247071Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8247313Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8247590Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8247860Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8248083Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8248316Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8248567Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8248799Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8249015Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8249231Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8249453Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8249696Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8249935Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8250139Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8250371Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8250608Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8250839Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8251072Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8251282Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8251515Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8251771Z              48 RETURN_VALUE
2022-11-23T01:32:32.8251898Z 
2022-11-23T01:32:32.8251966Z  
2022-11-23T01:32:32.8252262Z [2022-11-23 01:30:55,131] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8252492Z  - 
2022-11-23T01:32:32.8252719Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8252936Z             {
2022-11-23T01:32:32.8253180Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8253515Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8253796Z                 'obj_weakref': None
2022-11-23T01:32:32.8254145Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8254391Z             }
2022-11-23T01:32:32.8254565Z             
2022-11-23T01:32:32.8254738Z  - 
2022-11-23T01:32:32.8254970Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8255168Z             {
2022-11-23T01:32:32.8255416Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8255673Z                 'code': None,
2022-11-23T01:32:32.8256008Z                 'obj_weakref': <weakref at 0x7f2060185b70; to 'Tensor' at 0x7f201e6e0630>
2022-11-23T01:32:32.8256440Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8256696Z             }
2022-11-23T01:32:32.8256867Z             
2022-11-23T01:32:32.8257045Z  - 
2022-11-23T01:32:32.8257271Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8257473Z             {
2022-11-23T01:32:32.8257721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8258025Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8258299Z                 'obj_weakref': None
2022-11-23T01:32:32.8258661Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8259094Z             }
2022-11-23T01:32:32.8259265Z             
2022-11-23T01:32:32.8259445Z  - 
2022-11-23T01:32:32.8259663Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8259860Z             {
2022-11-23T01:32:32.8260109Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8260457Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8260755Z                 'obj_weakref': None
2022-11-23T01:32:32.8261108Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8261353Z             }
2022-11-23T01:32:32.8261514Z             
2022-11-23T01:32:32.8261690Z  - 
2022-11-23T01:32:32.8261967Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8262186Z             {
2022-11-23T01:32:32.8262461Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8263249Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:32.8263758Z                 'obj_weakref': None
2022-11-23T01:32:32.8264104Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8264346Z             }
2022-11-23T01:32:32.8264516Z             
2022-11-23T01:32:32.8264686Z  - 
2022-11-23T01:32:32.8264975Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8265205Z             {
2022-11-23T01:32:32.8265447Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8265871Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.8266282Z                 'obj_weakref': None
2022-11-23T01:32:32.8266635Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8266868Z             }
2022-11-23T01:32:32.8267038Z             
2022-11-23T01:32:32.8267214Z  - 
2022-11-23T01:32:32.8267525Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8267754Z             {
2022-11-23T01:32:32.8268005Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8268418Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8268742Z                 'obj_weakref': None
2022-11-23T01:32:32.8269088Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8269315Z             }
2022-11-23T01:32:32.8269483Z             
2022-11-23T01:32:32.8269660Z  - 
2022-11-23T01:32:32.8269943Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8270176Z             {
2022-11-23T01:32:32.8270534Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8270986Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.8271312Z                 'obj_weakref': None
2022-11-23T01:32:32.8271657Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8271893Z             }
2022-11-23T01:32:32.8272054Z             
2022-11-23T01:32:32.8272442Z [2022-11-23 01:30:55,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 882
2022-11-23T01:32:32.8272934Z [2022-11-23 01:30:55,139] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8273138Z 
2022-11-23T01:32:32.8273232Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8273444Z import torch
2022-11-23T01:32:32.8273626Z import random
2022-11-23T01:32:32.8273854Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8274123Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8274288Z 
2022-11-23T01:32:32.8274372Z aten = torch.ops.aten
2022-11-23T01:32:32.8274635Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8274891Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8275029Z 
2022-11-23T01:32:32.8275103Z import triton
2022-11-23T01:32:32.8275302Z import triton.language as tl
2022-11-23T01:32:32.8275550Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8275857Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8276037Z 
2022-11-23T01:32:32.8276042Z 
2022-11-23T01:32:32.8276210Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.8276455Z import triton
2022-11-23T01:32:32.8276660Z import triton.language as tl
2022-11-23T01:32:32.8276915Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8277171Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8277451Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8277740Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8277905Z 
2022-11-23T01:32:32.8278284Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8278619Z @triton.jit
2022-11-23T01:32:32.8278854Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8279090Z     xnumel = 1000
2022-11-23T01:32:32.8279303Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8279565Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8279812Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8280007Z     x0 = xindex
2022-11-23T01:32:32.8280254Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8280457Z     tmp1 = 1
2022-11-23T01:32:32.8280646Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8280903Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8281149Z ''')
2022-11-23T01:32:32.8281278Z 
2022-11-23T01:32:32.8281282Z 
2022-11-23T01:32:32.8281381Z async_compile.wait(globals())
2022-11-23T01:32:32.8281591Z del async_compile
2022-11-23T01:32:32.8281708Z 
2022-11-23T01:32:32.8281778Z def call(args):
2022-11-23T01:32:32.8281965Z     arg0_1, = args
2022-11-23T01:32:32.8282150Z     args.clear()
2022-11-23T01:32:32.8282464Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8282725Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8283005Z     triton_fused_add_view0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8283242Z     del arg0_1
2022-11-23T01:32:32.8283432Z     return (buf0, )
2022-11-23T01:32:32.8283549Z 
2022-11-23T01:32:32.8283556Z 
2022-11-23T01:32:32.8283639Z if __name__ == "__main__":
2022-11-23T01:32:32.8283878Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8284151Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8284547Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8284837Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8284987Z 
2022-11-23T01:32:32.8284992Z 
2022-11-23T01:32:32.8285086Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8285296Z import torch
2022-11-23T01:32:32.8285479Z import random
2022-11-23T01:32:32.8285703Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8285978Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8286142Z 
2022-11-23T01:32:32.8286226Z aten = torch.ops.aten
2022-11-23T01:32:32.8286485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8286744Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8286878Z 
2022-11-23T01:32:32.8286956Z import triton
2022-11-23T01:32:32.8287157Z import triton.language as tl
2022-11-23T01:32:32.8287406Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8287712Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8287887Z 
2022-11-23T01:32:32.8287892Z 
2022-11-23T01:32:32.8288056Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8288281Z import triton
2022-11-23T01:32:32.8288477Z import triton.language as tl
2022-11-23T01:32:32.8288723Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8288972Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8289239Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8289528Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8289691Z 
2022-11-23T01:32:32.8290065Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8290383Z @triton.jit
2022-11-23T01:32:32.8290622Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8290863Z     xnumel = 1000
2022-11-23T01:32:32.8291064Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8291332Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8291576Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8291768Z     x0 = xindex
2022-11-23T01:32:32.8291987Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8292203Z     tmp1 = 1
2022-11-23T01:32:32.8292390Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8292636Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8292887Z ''')
2022-11-23T01:32:32.8292990Z 
2022-11-23T01:32:32.8292995Z 
2022-11-23T01:32:32.8293092Z async_compile.wait(globals())
2022-11-23T01:32:32.8293329Z del async_compile
2022-11-23T01:32:32.8293449Z 
2022-11-23T01:32:32.8293525Z def call(args):
2022-11-23T01:32:32.8293710Z     arg0_1, = args
2022-11-23T01:32:32.8293886Z     args.clear()
2022-11-23T01:32:32.8294203Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8294487Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8294754Z     triton_fused_view_add0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8294996Z     del arg0_1
2022-11-23T01:32:32.8295176Z     return (buf0, )
2022-11-23T01:32:32.8295292Z 
2022-11-23T01:32:32.8295297Z 
2022-11-23T01:32:32.8295379Z if __name__ == "__main__":
2022-11-23T01:32:32.8295608Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8295891Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8296283Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8296567Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8296717Z 
2022-11-23T01:32:32.8296722Z 
2022-11-23T01:32:32.8296822Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8297030Z import torch
2022-11-23T01:32:32.8297213Z import random
2022-11-23T01:32:32.8297438Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8297717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8297880Z 
2022-11-23T01:32:32.8297966Z aten = torch.ops.aten
2022-11-23T01:32:32.8298216Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8298481Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8298617Z 
2022-11-23T01:32:32.8298692Z import triton
2022-11-23T01:32:32.8299103Z import triton.language as tl
2022-11-23T01:32:32.8299365Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8299667Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8299843Z 
2022-11-23T01:32:32.8299851Z 
2022-11-23T01:32:32.8300029Z triton_fused_mul_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8300250Z import triton
2022-11-23T01:32:32.8300452Z import triton.language as tl
2022-11-23T01:32:32.8300699Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8300946Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8301228Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8301523Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8301682Z 
2022-11-23T01:32:32.8302049Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8302381Z @triton.jit
2022-11-23T01:32:32.8302624Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8302874Z     xnumel = 1000
2022-11-23T01:32:32.8303110Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8303386Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8303633Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8303817Z     x0 = xindex
2022-11-23T01:32:32.8304026Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8304230Z     tmp1 = 2
2022-11-23T01:32:32.8304405Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8304591Z     tmp3 = 1
2022-11-23T01:32:32.8304773Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8305021Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8305268Z ''')
2022-11-23T01:32:32.8305370Z 
2022-11-23T01:32:32.8305374Z 
2022-11-23T01:32:32.8305469Z async_compile.wait(globals())
2022-11-23T01:32:32.8305670Z del async_compile
2022-11-23T01:32:32.8305788Z 
2022-11-23T01:32:32.8305863Z def call(args):
2022-11-23T01:32:32.8306049Z     arg0_1, = args
2022-11-23T01:32:32.8306228Z     args.clear()
2022-11-23T01:32:32.8306611Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8306883Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8307162Z     triton_fused_mul_view_add0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8307403Z     del arg0_1
2022-11-23T01:32:32.8307586Z     return (buf0, )
2022-11-23T01:32:32.8307730Z 
2022-11-23T01:32:32.8307734Z 
2022-11-23T01:32:32.8307816Z if __name__ == "__main__":
2022-11-23T01:32:32.8308048Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8308331Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8308726Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8309006Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8309156Z 
2022-11-23T01:32:32.8309160Z 
2022-11-23T01:32:32.8309261Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8309468Z import torch
2022-11-23T01:32:32.8309649Z import random
2022-11-23T01:32:32.8309873Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8310154Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8310399Z 
2022-11-23T01:32:32.8310492Z aten = torch.ops.aten
2022-11-23T01:32:32.8310745Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8311011Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8311147Z 
2022-11-23T01:32:32.8311221Z import triton
2022-11-23T01:32:32.8311413Z import triton.language as tl
2022-11-23T01:32:32.8311671Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8311978Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8312151Z 
2022-11-23T01:32:32.8312156Z 
2022-11-23T01:32:32.8312333Z triton_fused_add_mul_view0 = async_compile.triton('''
2022-11-23T01:32:32.8312552Z import triton
2022-11-23T01:32:32.8312753Z import triton.language as tl
2022-11-23T01:32:32.8313000Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8313293Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8313570Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8313861Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8314019Z 
2022-11-23T01:32:32.8314392Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8314725Z @triton.jit
2022-11-23T01:32:32.8314967Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8315203Z     xnumel = 1000
2022-11-23T01:32:32.8315403Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8315669Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8315914Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8316098Z     x0 = xindex
2022-11-23T01:32:32.8316327Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8316548Z     tmp1 = 2
2022-11-23T01:32:32.8316724Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8316910Z     tmp3 = 1
2022-11-23T01:32:32.8317093Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8317337Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8317591Z ''')
2022-11-23T01:32:32.8317692Z 
2022-11-23T01:32:32.8317696Z 
2022-11-23T01:32:32.8317792Z async_compile.wait(globals())
2022-11-23T01:32:32.8317992Z del async_compile
2022-11-23T01:32:32.8318106Z 
2022-11-23T01:32:32.8318183Z def call(args):
2022-11-23T01:32:32.8318364Z     arg0_1, = args
2022-11-23T01:32:32.8318546Z     args.clear()
2022-11-23T01:32:32.8318854Z     buf0 = empty_strided((10, 100), (100, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8319113Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8319388Z     triton_fused_add_mul_view0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8319628Z     del arg0_1
2022-11-23T01:32:32.8319810Z     return (buf0, )
2022-11-23T01:32:32.8319966Z 
2022-11-23T01:32:32.8319972Z 
2022-11-23T01:32:32.8320054Z if __name__ == "__main__":
2022-11-23T01:32:32.8320283Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8320562Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8320981Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8321268Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8321412Z 
2022-11-23T01:32:32.8321794Z [2022-11-23 01:30:55,145] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mf/cmf6iqp2rwpfcuktndvvpjmivczruqqpprlfs3zkrza5db7byy65.py
2022-11-23T01:32:32.8322356Z [2022-11-23 01:30:55,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 882
2022-11-23T01:32:32.8322809Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8323319Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8323777Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8324220Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8324700Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8325232Z [2022-11-23 01:30:55,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8325824Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8326406Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8327028Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:32.8327392Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8327615Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8327847Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8328070Z               6 CALL_METHOD              1
2022-11-23T01:32:32.8328286Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8328492Z              10 BINARY_ADD
2022-11-23T01:32:32.8328700Z              12 BUILD_TUPLE              1
2022-11-23T01:32:32.8328897Z              14 RETURN_VALUE
2022-11-23T01:32:32.8329082Z  
2022-11-23T01:32:32.8329182Z 
2022-11-23T01:32:32.8329501Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:32:32.8329955Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8330367Z [2022-11-23 01:30:55,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8330851Z [2022-11-23 01:30:55,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8331379Z [2022-11-23 01:30:55,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8331846Z [2022-11-23 01:30:55,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8332324Z [2022-11-23 01:30:55,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8332817Z [2022-11-23 01:30:55,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8333268Z [2022-11-23 01:30:55,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8333840Z [2022-11-23 01:30:55,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f2157f437e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:32.8334388Z [2022-11-23 01:30:55,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8334824Z [2022-11-23 01:30:55,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8335271Z [2022-11-23 01:30:55,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8335718Z [2022-11-23 01:30:55,154] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8336118Z [2022-11-23 01:30:55,154] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8336424Z  __compiled_fn_901 <eval_with_key>.5536 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8336694Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8336972Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T01:32:32.8337298Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8337556Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8337698Z 
2022-11-23T01:32:32.8338026Z [2022-11-23 01:30:55,155] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8338372Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8338601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8339013Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8339237Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8339464Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8339686Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8339885Z              12 RETURN_VALUE
2022-11-23T01:32:32.8340009Z 
2022-11-23T01:32:32.8340076Z  
2022-11-23T01:32:32.8340502Z [2022-11-23 01:30:55,155] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8340859Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_901)
2022-11-23T01:32:32.8341101Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8341327Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8341532Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8341744Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8341988Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8342265Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8342528Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8342757Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8342985Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8343218Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8343456Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8343666Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8343871Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8344099Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8344337Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8344559Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8344768Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8344994Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8345226Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8345504Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8345735Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8345943Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8346167Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8346413Z              48 RETURN_VALUE
2022-11-23T01:32:32.8346534Z 
2022-11-23T01:32:32.8346602Z  
2022-11-23T01:32:32.8346881Z [2022-11-23 01:30:55,156] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8347115Z  - 
2022-11-23T01:32:32.8347332Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8347517Z             {
2022-11-23T01:32:32.8347765Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8348089Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8348360Z                 'obj_weakref': None
2022-11-23T01:32:32.8348714Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8348960Z             }
2022-11-23T01:32:32.8349131Z             
2022-11-23T01:32:32.8349301Z  - 
2022-11-23T01:32:32.8349528Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8349723Z             {
2022-11-23T01:32:32.8349965Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8350222Z                 'code': None,
2022-11-23T01:32:32.8350683Z                 'obj_weakref': <weakref at 0x7f1fd9a8c130; to 'Tensor' at 0x7f201e6e2110>
2022-11-23T01:32:32.8351103Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8351361Z             }
2022-11-23T01:32:32.8351532Z             
2022-11-23T01:32:32.8351701Z  - 
2022-11-23T01:32:32.8351930Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8352135Z             {
2022-11-23T01:32:32.8352368Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8352681Z                 'code': ['___check_obj_id(model, 139771752386992)'],
2022-11-23T01:32:32.8352961Z                 'obj_weakref': None
2022-11-23T01:32:32.8353314Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8353561Z             }
2022-11-23T01:32:32.8353729Z             
2022-11-23T01:32:32.8353910Z  - 
2022-11-23T01:32:32.8354125Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8354323Z             {
2022-11-23T01:32:32.8354570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8354917Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8355214Z                 'obj_weakref': None
2022-11-23T01:32:32.8355570Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8355808Z             }
2022-11-23T01:32:32.8355981Z             
2022-11-23T01:32:32.8356158Z  - 
2022-11-23T01:32:32.8356429Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8356658Z             {
2022-11-23T01:32:32.8356933Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8357710Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:32.8358226Z                 'obj_weakref': None
2022-11-23T01:32:32.8358579Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8358821Z             }
2022-11-23T01:32:32.8358985Z             
2022-11-23T01:32:32.8359161Z  - 
2022-11-23T01:32:32.8359448Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8359726Z             {
2022-11-23T01:32:32.8359980Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8360404Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.8360762Z                 'obj_weakref': None
2022-11-23T01:32:32.8361104Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8361345Z             }
2022-11-23T01:32:32.8361514Z             
2022-11-23T01:32:32.8361688Z  - 
2022-11-23T01:32:32.8361976Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8362204Z             {
2022-11-23T01:32:32.8362448Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8362868Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8363236Z                 'obj_weakref': None
2022-11-23T01:32:32.8363580Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8363825Z             }
2022-11-23T01:32:32.8363997Z             
2022-11-23T01:32:32.8364180Z  - 
2022-11-23T01:32:32.8364465Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8364691Z             {
2022-11-23T01:32:32.8364942Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8365359Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.8365681Z                 'obj_weakref': None
2022-11-23T01:32:32.8366025Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8366255Z             }
2022-11-23T01:32:32.8366428Z             
2022-11-23T01:32:32.8366801Z [2022-11-23 01:30:55,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 883
2022-11-23T01:32:32.8367252Z [2022-11-23 01:30:55,164] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8367815Z [2022-11-23 01:30:55,169] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ec/cecohy4sj47eghgadkpzumb64d54k4tos6hqbpjmlejyy7yw3lz5.py
2022-11-23T01:32:32.8368366Z [2022-11-23 01:30:55,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 883
2022-11-23T01:32:32.8376914Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8377428Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8377883Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8378321Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8379034Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8379570Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8380163Z [2022-11-23 01:30:55,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8380744Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8381365Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8381819Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8382045Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8382260Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8382486Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8382743Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8382968Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8383188Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8383384Z              14 BINARY_ADD
2022-11-23T01:32:32.8383590Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8383795Z              18 RETURN_VALUE
2022-11-23T01:32:32.8383972Z  
2022-11-23T01:32:32.8384069Z 
2022-11-23T01:32:32.8384386Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8384840Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8385256Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8385734Z [2022-11-23 01:30:55,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8386203Z [2022-11-23 01:30:55,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8386487Z [2022-11-23 01:30:55,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8386787Z [2022-11-23 01:30:55,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8387025Z [2022-11-23 01:30:55,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8387305Z [2022-11-23 01:30:55,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8387546Z [2022-11-23 01:30:55,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8387786Z [2022-11-23 01:30:55,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8388166Z [2022-11-23 01:30:55,176] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8388413Z [2022-11-23 01:30:55,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8388651Z [2022-11-23 01:30:55,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8388911Z [2022-11-23 01:30:55,177] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8389168Z [2022-11-23 01:30:55,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8389363Z [2022-11-23 01:30:55,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8389506Z  __compiled_fn_902 <eval_with_key>.5542 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8389604Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8389775Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8389929Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T01:32:32.8390104Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8390205Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8390211Z 
2022-11-23T01:32:32.8390641Z [2022-11-23 01:30:55,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8390746Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8390879Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8390976Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8391069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8391162Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8391256Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8391362Z              12 RETURN_VALUE
2022-11-23T01:32:32.8391368Z 
2022-11-23T01:32:32.8391433Z  
2022-11-23T01:32:32.8391754Z [2022-11-23 01:30:55,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8391872Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_902)
2022-11-23T01:32:32.8391970Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8392060Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8392145Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8392238Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8392352Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8392489Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8392591Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8392687Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8392784Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8392894Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8392988Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8393070Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8393167Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8393265Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8393370Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8393458Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8393540Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8393650Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8393746Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8393850Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8393943Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8394027Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8394133Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8394207Z              48 RETURN_VALUE
2022-11-23T01:32:32.8394212Z 
2022-11-23T01:32:32.8394279Z  
2022-11-23T01:32:32.8394469Z [2022-11-23 01:30:55,182] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8394546Z  - 
2022-11-23T01:32:32.8394671Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8394741Z             {
2022-11-23T01:32:32.8394886Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8395069Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8395197Z                 'obj_weakref': None
2022-11-23T01:32:32.8395425Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8395495Z             }
2022-11-23T01:32:32.8395563Z             
2022-11-23T01:32:32.8395644Z  - 
2022-11-23T01:32:32.8395772Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8395835Z             {
2022-11-23T01:32:32.8395983Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8396096Z                 'code': None,
2022-11-23T01:32:32.8396311Z                 'obj_weakref': <weakref at 0x7f1f680ad2b0; to 'Tensor' at 0x7f2115e4ddf0>
2022-11-23T01:32:32.8396565Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8396634Z             }
2022-11-23T01:32:32.8396703Z             
2022-11-23T01:32:32.8396772Z  - 
2022-11-23T01:32:32.8396908Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8397008Z             {
2022-11-23T01:32:32.8397151Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8397325Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8397450Z                 'obj_weakref': None
2022-11-23T01:32:32.8397705Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8397767Z             }
2022-11-23T01:32:32.8397835Z             
2022-11-23T01:32:32.8397910Z  - 
2022-11-23T01:32:32.8398037Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8398110Z             {
2022-11-23T01:32:32.8398251Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8398469Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8398585Z                 'obj_weakref': None
2022-11-23T01:32:32.8398810Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8398880Z             }
2022-11-23T01:32:32.8398949Z             
2022-11-23T01:32:32.8399024Z  - 
2022-11-23T01:32:32.8399209Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8399277Z             {
2022-11-23T01:32:32.8399445Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8400074Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:32.8400200Z                 'obj_weakref': None
2022-11-23T01:32:32.8400426Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8400493Z             }
2022-11-23T01:32:32.8400564Z             
2022-11-23T01:32:32.8400640Z  - 
2022-11-23T01:32:32.8400829Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8400891Z             {
2022-11-23T01:32:32.8401041Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8401328Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.8401453Z                 'obj_weakref': None
2022-11-23T01:32:32.8401674Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8401742Z             }
2022-11-23T01:32:32.8401811Z             
2022-11-23T01:32:32.8401880Z  - 
2022-11-23T01:32:32.8402072Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8402140Z             {
2022-11-23T01:32:32.8402287Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8402574Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8402696Z                 'obj_weakref': None
2022-11-23T01:32:32.8402917Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8402989Z             }
2022-11-23T01:32:32.8403065Z             
2022-11-23T01:32:32.8403149Z  - 
2022-11-23T01:32:32.8403362Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8403430Z             {
2022-11-23T01:32:32.8403578Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8403860Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.8403987Z                 'obj_weakref': None
2022-11-23T01:32:32.8404235Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8404306Z             }
2022-11-23T01:32:32.8404374Z             
2022-11-23T01:32:32.8404642Z [2022-11-23 01:30:55,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 884
2022-11-23T01:32:32.8404929Z [2022-11-23 01:30:55,191] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8405297Z [2022-11-23 01:30:55,197] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd33ykdggpgvqyj3zt33rbfa5rhiy7h6aqqotzcvpn3vh4p4kwn7.py
2022-11-23T01:32:32.8405569Z [2022-11-23 01:30:55,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 884
2022-11-23T01:32:32.8405813Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8406127Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8406351Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8406609Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8406897Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8407222Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8407569Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8407894Z [2022-11-23 01:30:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8408271Z [2022-11-23 01:30:55,201] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:32.8408371Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8408472Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:32.8408552Z               4 BINARY_MULTIPLY
2022-11-23T01:32:32.8408654Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:32.8408754Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:32.8408848Z              10 CALL_METHOD              1
2022-11-23T01:32:32.8408944Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8409021Z              14 BINARY_ADD
2022-11-23T01:32:32.8409116Z              16 BUILD_TUPLE              1
2022-11-23T01:32:32.8409191Z              18 RETURN_VALUE
2022-11-23T01:32:32.8409261Z  
2022-11-23T01:32:32.8409266Z 
2022-11-23T01:32:32.8409582Z [2022-11-23 01:30:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:32:32.8409798Z [2022-11-23 01:30:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:32.8410039Z [2022-11-23 01:30:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:32.8410338Z [2022-11-23 01:30:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8410584Z [2022-11-23 01:30:55,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:32.8410868Z [2022-11-23 01:30:55,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:32.8411172Z [2022-11-23 01:30:55,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:32.8411435Z [2022-11-23 01:30:55,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8411720Z [2022-11-23 01:30:55,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8412011Z [2022-11-23 01:30:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8412260Z [2022-11-23 01:30:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8412637Z [2022-11-23 01:30:55,204] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f2157f43890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:32.8412899Z [2022-11-23 01:30:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8413171Z [2022-11-23 01:30:55,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8413433Z [2022-11-23 01:30:55,205] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8413687Z [2022-11-23 01:30:55,208] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8413884Z [2022-11-23 01:30:55,208] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8414020Z  __compiled_fn_903 <eval_with_key>.5548 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8414115Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8414291Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:32.8414445Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T01:32:32.8414620Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:32.8414721Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8414727Z 
2022-11-23T01:32:32.8415056Z [2022-11-23 01:30:55,209] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8415156Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8415246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8415339Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8415444Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8415534Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8415630Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8415710Z              12 RETURN_VALUE
2022-11-23T01:32:32.8415716Z 
2022-11-23T01:32:32.8415781Z  
2022-11-23T01:32:32.8416098Z [2022-11-23 01:30:55,209] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8416217Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_903)
2022-11-23T01:32:32.8416314Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8416413Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8416496Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8416590Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8416704Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8416845Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:32.8416943Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:32.8417037Z              16 CALL_FUNCTION            0
2022-11-23T01:32:32.8417139Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:32.8417249Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8417343Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8417425Z              24 BINARY_SUBSCR
2022-11-23T01:32:32.8417518Z              26 BUILD_TUPLE              1
2022-11-23T01:32:32.8417611Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8417745Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8417844Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8417925Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8418034Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:32.8418160Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8418266Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:32.8418355Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8418437Z              44 BINARY_SUBSCR
2022-11-23T01:32:32.8418546Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:32.8418625Z              48 RETURN_VALUE
2022-11-23T01:32:32.8418631Z 
2022-11-23T01:32:32.8418704Z  
2022-11-23T01:32:32.8419162Z [2022-11-23 01:30:55,210] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8419272Z  - 
2022-11-23T01:32:32.8419435Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8419516Z             {
2022-11-23T01:32:32.8419670Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8419860Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8419984Z                 'obj_weakref': None
2022-11-23T01:32:32.8420213Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8420284Z             }
2022-11-23T01:32:32.8420352Z             
2022-11-23T01:32:32.8420421Z  - 
2022-11-23T01:32:32.8420549Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8420617Z             {
2022-11-23T01:32:32.8420763Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8420875Z                 'code': None,
2022-11-23T01:32:32.8421091Z                 'obj_weakref': <weakref at 0x7f1fd9a5bab0; to 'Tensor' at 0x7f201e6e0630>
2022-11-23T01:32:32.8421341Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8421408Z             }
2022-11-23T01:32:32.8421476Z             
2022-11-23T01:32:32.8421552Z  - 
2022-11-23T01:32:32.8421685Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8421754Z             {
2022-11-23T01:32:32.8421893Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8422062Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8422187Z                 'obj_weakref': None
2022-11-23T01:32:32.8422443Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8422522Z             }
2022-11-23T01:32:32.8422602Z             
2022-11-23T01:32:32.8422679Z  - 
2022-11-23T01:32:32.8422804Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8422866Z             {
2022-11-23T01:32:32.8423010Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8423231Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8423356Z                 'obj_weakref': None
2022-11-23T01:32:32.8423580Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8423651Z             }
2022-11-23T01:32:32.8423718Z             
2022-11-23T01:32:32.8423789Z  - 
2022-11-23T01:32:32.8423971Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:32.8424041Z             {
2022-11-23T01:32:32.8424212Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:32.8424823Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94768292482624)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', '___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:32.8425017Z                 'obj_weakref': None
2022-11-23T01:32:32.8425243Z                 'guarded_class': <weakref at 0x7f2158fc5c60; to 'type' at 0x5630f668ce40 (list)>
2022-11-23T01:32:32.8425312Z             }
2022-11-23T01:32:32.8425380Z             
2022-11-23T01:32:32.8425449Z  - 
2022-11-23T01:32:32.8425666Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:32.8425738Z             {
2022-11-23T01:32:32.8425890Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8426178Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94768292480384)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:32.8426303Z                 'obj_weakref': None
2022-11-23T01:32:32.8426528Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8426589Z             }
2022-11-23T01:32:32.8426658Z             
2022-11-23T01:32:32.8426732Z  - 
2022-11-23T01:32:32.8426923Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8426991Z             {
2022-11-23T01:32:32.8427139Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8427420Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94768292480384)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:32.8427538Z                 'obj_weakref': None
2022-11-23T01:32:32.8427757Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8427826Z             }
2022-11-23T01:32:32.8427895Z             
2022-11-23T01:32:32.8427970Z  - 
2022-11-23T01:32:32.8428160Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8428228Z             {
2022-11-23T01:32:32.8428368Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8428653Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94768292480384)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:32.8428776Z                 'obj_weakref': None
2022-11-23T01:32:32.8428994Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8429061Z             }
2022-11-23T01:32:32.8429134Z             
2022-11-23T01:32:32.8429398Z [2022-11-23 01:30:55,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 885
2022-11-23T01:32:32.8429652Z [2022-11-23 01:30:55,221] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8430012Z [2022-11-23 01:30:55,226] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xn/cxnfx2dnr66ielavtj6usze6kqm4sll345rbdnonrvp5gsgmlqut.py
2022-11-23T01:32:32.8430365Z [2022-11-23 01:30:55,226] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 885
2022-11-23T01:32:32.8430373Z 
2022-11-23T01:32:32.8430488Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8430580Z import torch
2022-11-23T01:32:32.8430670Z import random
2022-11-23T01:32:32.8430807Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8430940Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8430945Z 
2022-11-23T01:32:32.8431032Z aten = torch.ops.aten
2022-11-23T01:32:32.8431166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8431266Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8431271Z 
2022-11-23T01:32:32.8431346Z import triton
2022-11-23T01:32:32.8431440Z import triton.language as tl
2022-11-23T01:32:32.8431569Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8431712Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8431718Z 
2022-11-23T01:32:32.8431722Z 
2022-11-23T01:32:32.8431892Z triton_fused_view_add0 = async_compile.triton('''
2022-11-23T01:32:32.8431967Z import triton
2022-11-23T01:32:32.8432054Z import triton.language as tl
2022-11-23T01:32:32.8432206Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8432313Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8432452Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8432581Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8432610Z 
2022-11-23T01:32:32.8432985Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8433060Z @triton.jit
2022-11-23T01:32:32.8433197Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8433266Z     xnumel = 1000
2022-11-23T01:32:32.8433364Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8433496Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8433581Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8433652Z     x0 = xindex
2022-11-23T01:32:32.8433754Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8433826Z     tmp1 = 1
2022-11-23T01:32:32.8433900Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8434037Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8434128Z ''')
2022-11-23T01:32:32.8434133Z 
2022-11-23T01:32:32.8434138Z 
2022-11-23T01:32:32.8434231Z async_compile.wait(globals())
2022-11-23T01:32:32.8434308Z del async_compile
2022-11-23T01:32:32.8434313Z 
2022-11-23T01:32:32.8434388Z def call(args):
2022-11-23T01:32:32.8434461Z     arg0_1, = args
2022-11-23T01:32:32.8434531Z     args.clear()
2022-11-23T01:32:32.8434746Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8434838Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8434982Z     triton_fused_view_add0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8435056Z     del arg0_1
2022-11-23T01:32:32.8435133Z     return (buf0, )
2022-11-23T01:32:32.8435140Z 
2022-11-23T01:32:32.8435145Z 
2022-11-23T01:32:32.8435225Z if __name__ == "__main__":
2022-11-23T01:32:32.8435345Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8435467Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8435675Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8435788Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8435793Z 
2022-11-23T01:32:32.8435797Z 
2022-11-23T01:32:32.8435896Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8435970Z import torch
2022-11-23T01:32:32.8436047Z import random
2022-11-23T01:32:32.8436168Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8436294Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8436299Z 
2022-11-23T01:32:32.8436375Z aten = torch.ops.aten
2022-11-23T01:32:32.8436515Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8436614Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8436619Z 
2022-11-23T01:32:32.8436694Z import triton
2022-11-23T01:32:32.8436788Z import triton.language as tl
2022-11-23T01:32:32.8436915Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8437061Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8437066Z 
2022-11-23T01:32:32.8437071Z 
2022-11-23T01:32:32.8437236Z triton_fused_add_view0 = async_compile.triton('''
2022-11-23T01:32:32.8437305Z import triton
2022-11-23T01:32:32.8437400Z import triton.language as tl
2022-11-23T01:32:32.8437516Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8437619Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8437755Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8437883Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8437888Z 
2022-11-23T01:32:32.8438286Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8438364Z @triton.jit
2022-11-23T01:32:32.8438493Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8438592Z     xnumel = 1000
2022-11-23T01:32:32.8438691Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8438825Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8438909Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8438981Z     x0 = xindex
2022-11-23T01:32:32.8439101Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8439167Z     tmp1 = 1
2022-11-23T01:32:32.8439247Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8439384Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8439472Z ''')
2022-11-23T01:32:32.8439477Z 
2022-11-23T01:32:32.8439482Z 
2022-11-23T01:32:32.8439575Z async_compile.wait(globals())
2022-11-23T01:32:32.8439657Z del async_compile
2022-11-23T01:32:32.8439662Z 
2022-11-23T01:32:32.8439739Z def call(args):
2022-11-23T01:32:32.8439807Z     arg0_1, = args
2022-11-23T01:32:32.8439884Z     args.clear()
2022-11-23T01:32:32.8440096Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8440190Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8440336Z     triton_fused_add_view0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8440409Z     del arg0_1
2022-11-23T01:32:32.8440488Z     return (buf0, )
2022-11-23T01:32:32.8440493Z 
2022-11-23T01:32:32.8440497Z 
2022-11-23T01:32:32.8440580Z if __name__ == "__main__":
2022-11-23T01:32:32.8440693Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8440820Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8441024Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8441140Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8441145Z 
2022-11-23T01:32:32.8441149Z 
2022-11-23T01:32:32.8441254Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8441328Z import torch
2022-11-23T01:32:32.8441404Z import random
2022-11-23T01:32:32.8441533Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8441652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8441657Z 
2022-11-23T01:32:32.8441740Z aten = torch.ops.aten
2022-11-23T01:32:32.8441880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8441975Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8441980Z 
2022-11-23T01:32:32.8442055Z import triton
2022-11-23T01:32:32.8442147Z import triton.language as tl
2022-11-23T01:32:32.8442274Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8442410Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8442421Z 
2022-11-23T01:32:32.8442426Z 
2022-11-23T01:32:32.8442592Z triton_fused_add_mul_view0 = async_compile.triton('''
2022-11-23T01:32:32.8442669Z import triton
2022-11-23T01:32:32.8442762Z import triton.language as tl
2022-11-23T01:32:32.8442878Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8442982Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8443122Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8443274Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8443279Z 
2022-11-23T01:32:32.8443667Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8443743Z @triton.jit
2022-11-23T01:32:32.8443880Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8443955Z     xnumel = 1000
2022-11-23T01:32:32.8444054Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8444228Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8444317Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8444389Z     x0 = xindex
2022-11-23T01:32:32.8444481Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8444553Z     tmp1 = 2
2022-11-23T01:32:32.8444659Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8444732Z     tmp3 = 1
2022-11-23T01:32:32.8444812Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8444950Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8445032Z ''')
2022-11-23T01:32:32.8445047Z 
2022-11-23T01:32:32.8445051Z 
2022-11-23T01:32:32.8445138Z async_compile.wait(globals())
2022-11-23T01:32:32.8445219Z del async_compile
2022-11-23T01:32:32.8445224Z 
2022-11-23T01:32:32.8445301Z def call(args):
2022-11-23T01:32:32.8445375Z     arg0_1, = args
2022-11-23T01:32:32.8445456Z     args.clear()
2022-11-23T01:32:32.8445668Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8445763Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8445904Z     triton_fused_add_mul_view0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8445979Z     del arg0_1
2022-11-23T01:32:32.8446059Z     return (buf0, )
2022-11-23T01:32:32.8446066Z 
2022-11-23T01:32:32.8446070Z 
2022-11-23T01:32:32.8446152Z if __name__ == "__main__":
2022-11-23T01:32:32.8446273Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8446403Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8446608Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8446721Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8446726Z 
2022-11-23T01:32:32.8446730Z 
2022-11-23T01:32:32.8446823Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8446899Z import torch
2022-11-23T01:32:32.8446974Z import random
2022-11-23T01:32:32.8447098Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8447225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8447230Z 
2022-11-23T01:32:32.8447312Z aten = torch.ops.aten
2022-11-23T01:32:32.8447451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8447550Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8447555Z 
2022-11-23T01:32:32.8447624Z import triton
2022-11-23T01:32:32.8447716Z import triton.language as tl
2022-11-23T01:32:32.8447844Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8447987Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8447993Z 
2022-11-23T01:32:32.8447997Z 
2022-11-23T01:32:32.8448167Z triton_fused_view_mul_add0 = async_compile.triton('''
2022-11-23T01:32:32.8448242Z import triton
2022-11-23T01:32:32.8448336Z import triton.language as tl
2022-11-23T01:32:32.8448445Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8448549Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8448687Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8448814Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8448819Z 
2022-11-23T01:32:32.8449189Z @pointwise(size_hints=[1024], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8449266Z @triton.jit
2022-11-23T01:32:32.8449402Z def kernel(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8449477Z     xnumel = 1000
2022-11-23T01:32:32.8449569Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8449702Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8449786Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8449859Z     x0 = xindex
2022-11-23T01:32:32.8449978Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8450050Z     tmp1 = 2
2022-11-23T01:32:32.8450159Z     tmp2 = tmp0 * tmp1
2022-11-23T01:32:32.8450225Z     tmp3 = 1
2022-11-23T01:32:32.8450307Z     tmp4 = tmp2 + tmp3
2022-11-23T01:32:32.8450443Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8450534Z ''')
2022-11-23T01:32:32.8450562Z 
2022-11-23T01:32:32.8450566Z 
2022-11-23T01:32:32.8450661Z async_compile.wait(globals())
2022-11-23T01:32:32.8450739Z del async_compile
2022-11-23T01:32:32.8450744Z 
2022-11-23T01:32:32.8450821Z def call(args):
2022-11-23T01:32:32.8450894Z     arg0_1, = args
2022-11-23T01:32:32.8450964Z     args.clear()
2022-11-23T01:32:32.8451177Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8451269Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8451418Z     triton_fused_view_mul_add0.run(arg0_1, buf0, 1000, grid=grid(1000), stream=stream0)
2022-11-23T01:32:32.8451491Z     del arg0_1
2022-11-23T01:32:32.8451569Z     return (buf0, )
2022-11-23T01:32:32.8451574Z 
2022-11-23T01:32:32.8451581Z 
2022-11-23T01:32:32.8451663Z if __name__ == "__main__":
2022-11-23T01:32:32.8451777Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8451905Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8452112Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8452228Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8452234Z 
2022-11-23T01:32:32.8452306Z ok (0.780s)
2022-11-23T01:32:32.8452612Z   test_views3_cuda (__main__.CudaTests) ... [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8452929Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8453156Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8453421Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8453698Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8454022Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8454375Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8454700Z [2022-11-23 01:30:55,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8455088Z [2022-11-23 01:30:55,232] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979> 
2022-11-23T01:32:32.8455190Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8455292Z               2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8455392Z               4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8455492Z               6 LOAD_METHOD              3 (index)
2022-11-23T01:32:32.8455588Z               8 LOAD_FAST                0 (arg1)
2022-11-23T01:32:32.8455685Z              10 LOAD_FAST                1 (arg2)
2022-11-23T01:32:32.8455779Z              12 BUILD_LIST               1
2022-11-23T01:32:32.8455872Z              14 CALL_METHOD              2
2022-11-23T01:32:32.8455972Z              16 STORE_FAST               2 (index)
2022-11-23T01:32:32.8455977Z 
2022-11-23T01:32:32.8456074Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8456172Z              20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8456267Z              22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8456388Z              24 LOAD_METHOD              4 (view)
2022-11-23T01:32:32.8456489Z              26 LOAD_FAST                2 (index)
2022-11-23T01:32:32.8456583Z              28 BUILD_LIST               0
2022-11-23T01:32:32.8456688Z              30 LOAD_CONST               1 ((1, 2232, 64))
2022-11-23T01:32:32.8456803Z              32 LIST_EXTEND              1
2022-11-23T01:32:32.8456897Z              34 CALL_METHOD              2
2022-11-23T01:32:32.8456997Z              36 STORE_FAST               3 (view_1)
2022-11-23T01:32:32.8457002Z 
2022-11-23T01:32:32.8457093Z 982          38 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8457191Z              40 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8457288Z              42 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8457385Z              44 LOAD_METHOD              4 (view)
2022-11-23T01:32:32.8457483Z              46 LOAD_FAST                3 (view_1)
2022-11-23T01:32:32.8457576Z              48 BUILD_LIST               0
2022-11-23T01:32:32.8457685Z              50 LOAD_CONST               2 ((1, 12, 62, 192))
2022-11-23T01:32:32.8457777Z              52 LIST_EXTEND              1
2022-11-23T01:32:32.8457862Z              54 CALL_METHOD              2
2022-11-23T01:32:32.8457962Z              56 STORE_FAST               4 (view_2)
2022-11-23T01:32:32.8457970Z 
2022-11-23T01:32:32.8458064Z 983          58 LOAD_FAST                4 (view_2)
2022-11-23T01:32:32.8458145Z              60 RETURN_VALUE
2022-11-23T01:32:32.8458215Z  
2022-11-23T01:32:32.8458220Z 
2022-11-23T01:32:32.8458564Z [2022-11-23 01:30:55,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980
2022-11-23T01:32:32.8459020Z [2022-11-23 01:30:55,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8459393Z [2022-11-23 01:30:55,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8459681Z [2022-11-23 01:30:55,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8459987Z [2022-11-23 01:30:55,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8460248Z [2022-11-23 01:30:55,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T01:32:32.8460536Z [2022-11-23 01:30:55,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:32.8460848Z [2022-11-23 01:30:55,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8461161Z [2022-11-23 01:30:55,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8461413Z [2022-11-23 01:30:55,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T01:32:32.8461728Z [2022-11-23 01:30:55,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981
2022-11-23T01:32:32.8461951Z [2022-11-23 01:30:55,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8462310Z [2022-11-23 01:30:55,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8462607Z [2022-11-23 01:30:55,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8462908Z [2022-11-23 01:30:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8463215Z [2022-11-23 01:30:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T01:32:32.8463496Z [2022-11-23 01:30:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:32.8463839Z [2022-11-23 01:30:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8464179Z [2022-11-23 01:30:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.8464487Z [2022-11-23 01:30:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8464738Z [2022-11-23 01:30:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T01:32:32.8465055Z [2022-11-23 01:30:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982
2022-11-23T01:32:32.8465280Z [2022-11-23 01:30:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8465649Z [2022-11-23 01:30:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8465939Z [2022-11-23 01:30:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8466243Z [2022-11-23 01:30:55,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8466503Z [2022-11-23 01:30:55,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T01:32:32.8466786Z [2022-11-23 01:30:55,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:32.8467108Z [2022-11-23 01:30:55,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8467453Z [2022-11-23 01:30:55,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.8467762Z [2022-11-23 01:30:55,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8468011Z [2022-11-23 01:30:55,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T01:32:32.8468324Z [2022-11-23 01:30:55,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983
2022-11-23T01:32:32.8468550Z [2022-11-23 01:30:55,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T01:32:32.8468804Z [2022-11-23 01:30:55,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8469184Z [2022-11-23 01:30:55,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979>
2022-11-23T01:32:32.8469433Z [2022-11-23 01:30:55,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8469673Z [2022-11-23 01:30:55,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8469931Z [2022-11-23 01:30:55,256] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8470186Z [2022-11-23 01:30:55,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8470511Z [2022-11-23 01:30:55,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8470672Z  __compiled_fn_904 <eval_with_key>.5554 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8470780Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8470866Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8471011Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:32.8471134Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T01:32:32.8471260Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T01:32:32.8471363Z output, output, output, ((view_1,),), {}
2022-11-23T01:32:32.8471369Z 
2022-11-23T01:32:32.8471696Z [2022-11-23 01:30:55,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8471797Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8471895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8471985Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8472091Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8472183Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8472281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8472365Z              12 RETURN_VALUE
2022-11-23T01:32:32.8472370Z 
2022-11-23T01:32:32.8472435Z  
2022-11-23T01:32:32.8472753Z [2022-11-23 01:30:55,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8472870Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_904)
2022-11-23T01:32:32.8472961Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8473058Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8473139Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8473237Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8473333Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8473415Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8473509Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8473599Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.8473681Z              18 RETURN_VALUE
2022-11-23T01:32:32.8473689Z 
2022-11-23T01:32:32.8473754Z  
2022-11-23T01:32:32.8473941Z [2022-11-23 01:30:55,261] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8474029Z  - 
2022-11-23T01:32:32.8474167Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8474253Z             {
2022-11-23T01:32:32.8474397Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8474588Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8474711Z                 'obj_weakref': None
2022-11-23T01:32:32.8474937Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8475007Z             }
2022-11-23T01:32:32.8475079Z             
2022-11-23T01:32:32.8475156Z  - 
2022-11-23T01:32:32.8475278Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8475348Z             {
2022-11-23T01:32:32.8475495Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8475606Z                 'code': None,
2022-11-23T01:32:32.8475829Z                 'obj_weakref': <weakref at 0x7f1fd8bfbf60; to 'Tensor' at 0x7f1fead3f920>
2022-11-23T01:32:32.8476081Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8476149Z             }
2022-11-23T01:32:32.8476211Z             
2022-11-23T01:32:32.8476287Z  - 
2022-11-23T01:32:32.8476417Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8476486Z             {
2022-11-23T01:32:32.8476632Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8476743Z                 'code': None,
2022-11-23T01:32:32.8476991Z                 'obj_weakref': <weakref at 0x7f1fd8355d00; to 'Tensor' at 0x7f201e20c450>
2022-11-23T01:32:32.8477252Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8477314Z             }
2022-11-23T01:32:32.8477383Z             
2022-11-23T01:32:32.8477486Z  - 
2022-11-23T01:32:32.8477624Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8477693Z             {
2022-11-23T01:32:32.8477836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8478006Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8478131Z                 'obj_weakref': None
2022-11-23T01:32:32.8478362Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8478431Z             }
2022-11-23T01:32:32.8478499Z             
2022-11-23T01:32:32.8478576Z  - 
2022-11-23T01:32:32.8478703Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8478766Z             {
2022-11-23T01:32:32.8478910Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8479130Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8479251Z                 'obj_weakref': None
2022-11-23T01:32:32.8479475Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8479546Z             }
2022-11-23T01:32:32.8479615Z             
2022-11-23T01:32:32.8479684Z  - 
2022-11-23T01:32:32.8479820Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.8479889Z             {
2022-11-23T01:32:32.8480013Z                 'guard_types': None,
2022-11-23T01:32:32.8480125Z                 'code': None,
2022-11-23T01:32:32.8480246Z                 'obj_weakref': None
2022-11-23T01:32:32.8480371Z                 'guarded_class': None
2022-11-23T01:32:32.8480432Z             }
2022-11-23T01:32:32.8480501Z             
2022-11-23T01:32:32.8480765Z [2022-11-23 01:30:55,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 886
2022-11-23T01:32:32.8481015Z [2022-11-23 01:30:55,284] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8481378Z [2022-11-23 01:30:55,373] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cld4omzxtraug5culfvusgoytuwnde36nhrn4la4tcols6tkatmj.py
2022-11-23T01:32:32.8481646Z [2022-11-23 01:30:55,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 886
2022-11-23T01:32:32.8481884Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8482196Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8482415Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8482664Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8482939Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8483255Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8483600Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8483917Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8484292Z [2022-11-23 01:30:55,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979> 
2022-11-23T01:32:32.8484429Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8484530Z               2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8484629Z               4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8484722Z               6 LOAD_METHOD              3 (index)
2022-11-23T01:32:32.8484841Z               8 LOAD_FAST                0 (arg1)
2022-11-23T01:32:32.8484938Z              10 LOAD_FAST                1 (arg2)
2022-11-23T01:32:32.8485032Z              12 BUILD_LIST               1
2022-11-23T01:32:32.8485124Z              14 CALL_METHOD              2
2022-11-23T01:32:32.8485227Z              16 STORE_FAST               2 (index)
2022-11-23T01:32:32.8485232Z 
2022-11-23T01:32:32.8485333Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8485430Z              20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8485518Z              22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8485618Z              24 LOAD_METHOD              4 (view)
2022-11-23T01:32:32.8485715Z              26 LOAD_FAST                2 (index)
2022-11-23T01:32:32.8485807Z              28 BUILD_LIST               0
2022-11-23T01:32:32.8485913Z              30 LOAD_CONST               1 ((1, 2232, 64))
2022-11-23T01:32:32.8486006Z              32 LIST_EXTEND              1
2022-11-23T01:32:32.8486098Z              34 CALL_METHOD              2
2022-11-23T01:32:32.8486191Z              36 STORE_FAST               3 (view_1)
2022-11-23T01:32:32.8486196Z 
2022-11-23T01:32:32.8486294Z 982          38 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8486393Z              40 LOAD_ATTR                1 (ops)
2022-11-23T01:32:32.8486490Z              42 LOAD_ATTR                2 (aten)
2022-11-23T01:32:32.8486587Z              44 LOAD_METHOD              4 (view)
2022-11-23T01:32:32.8486686Z              46 LOAD_FAST                3 (view_1)
2022-11-23T01:32:32.8486777Z              48 BUILD_LIST               0
2022-11-23T01:32:32.8486886Z              50 LOAD_CONST               2 ((1, 12, 62, 192))
2022-11-23T01:32:32.8486971Z              52 LIST_EXTEND              1
2022-11-23T01:32:32.8487063Z              54 CALL_METHOD              2
2022-11-23T01:32:32.8487161Z              56 STORE_FAST               4 (view_2)
2022-11-23T01:32:32.8487169Z 
2022-11-23T01:32:32.8487265Z 983          58 LOAD_FAST                4 (view_2)
2022-11-23T01:32:32.8487347Z              60 RETURN_VALUE
2022-11-23T01:32:32.8487415Z  
2022-11-23T01:32:32.8487420Z 
2022-11-23T01:32:32.8487741Z [2022-11-23 01:30:55,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980
2022-11-23T01:32:32.8487964Z [2022-11-23 01:30:55,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8488320Z [2022-11-23 01:30:55,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8488615Z [2022-11-23 01:30:55,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8488918Z [2022-11-23 01:30:55,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8489179Z [2022-11-23 01:30:55,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T01:32:32.8489462Z [2022-11-23 01:30:55,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:32.8489767Z [2022-11-23 01:30:55,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8490069Z [2022-11-23 01:30:55,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8490343Z [2022-11-23 01:30:55,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T01:32:32.8490659Z [2022-11-23 01:30:55,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981
2022-11-23T01:32:32.8490908Z [2022-11-23 01:30:55,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8491261Z [2022-11-23 01:30:55,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8491555Z [2022-11-23 01:30:55,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8491861Z [2022-11-23 01:30:55,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8492121Z [2022-11-23 01:30:55,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T01:32:32.8492402Z [2022-11-23 01:30:55,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:32.8492724Z [2022-11-23 01:30:55,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8493105Z [2022-11-23 01:30:55,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.8493430Z [2022-11-23 01:30:55,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8493681Z [2022-11-23 01:30:55,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T01:32:32.8494001Z [2022-11-23 01:30:55,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982
2022-11-23T01:32:32.8494223Z [2022-11-23 01:30:55,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:32.8494579Z [2022-11-23 01:30:55,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8494878Z [2022-11-23 01:30:55,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:32.8495184Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:32.8495446Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T01:32:32.8495728Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:32.8496046Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8496396Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:32.8496703Z [2022-11-23 01:30:55,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:32.8496953Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T01:32:32.8497268Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983
2022-11-23T01:32:32.8497524Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T01:32:32.8497767Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8498155Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f2157f43aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979>
2022-11-23T01:32:32.8498420Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8498658Z [2022-11-23 01:30:55,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8499223Z [2022-11-23 01:30:55,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8499480Z [2022-11-23 01:30:55,404] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8499678Z [2022-11-23 01:30:55,405] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8499821Z  __compiled_fn_905 <eval_with_key>.5560 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8499919Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8500007Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8500130Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:32.8500253Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T01:32:32.8500378Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T01:32:32.8500483Z output, output, output, ((view_1,),), {}
2022-11-23T01:32:32.8500489Z 
2022-11-23T01:32:32.8500815Z [2022-11-23 01:30:55,405] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8500915Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8501012Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8501102Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8501202Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8501293Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8501389Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8501476Z              12 RETURN_VALUE
2022-11-23T01:32:32.8501481Z 
2022-11-23T01:32:32.8501547Z  
2022-11-23T01:32:32.8501864Z [2022-11-23 01:30:55,405] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8501975Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_905)
2022-11-23T01:32:32.8502074Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8502171Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8502252Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8502347Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8502442Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8502523Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8502610Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8502706Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.8502787Z              18 RETURN_VALUE
2022-11-23T01:32:32.8502795Z 
2022-11-23T01:32:32.8502859Z  
2022-11-23T01:32:32.8503047Z [2022-11-23 01:30:55,406] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8503122Z  - 
2022-11-23T01:32:32.8503245Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8503308Z             {
2022-11-23T01:32:32.8503454Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8503645Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8503770Z                 'obj_weakref': None
2022-11-23T01:32:32.8503998Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8504067Z             }
2022-11-23T01:32:32.8504213Z             
2022-11-23T01:32:32.8504285Z  - 
2022-11-23T01:32:32.8504414Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8504484Z             {
2022-11-23T01:32:32.8504630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8504741Z                 'code': None,
2022-11-23T01:32:32.8504985Z                 'obj_weakref': <weakref at 0x7f1fd9a59120; to 'Tensor' at 0x7f1ffad5ff60>
2022-11-23T01:32:32.8505237Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8505307Z             }
2022-11-23T01:32:32.8505368Z             
2022-11-23T01:32:32.8505448Z  - 
2022-11-23T01:32:32.8505574Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8505643Z             {
2022-11-23T01:32:32.8505789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8505902Z                 'code': None,
2022-11-23T01:32:32.8506112Z                 'obj_weakref': <weakref at 0x7f1fd8355d00; to 'Tensor' at 0x7f201e20c450>
2022-11-23T01:32:32.8506362Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8506431Z             }
2022-11-23T01:32:32.8506500Z             
2022-11-23T01:32:32.8506577Z  - 
2022-11-23T01:32:32.8506715Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8506782Z             {
2022-11-23T01:32:32.8506917Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8507096Z                 'code': ['___check_obj_id(model, 139771752897920)'],
2022-11-23T01:32:32.8507221Z                 'obj_weakref': None
2022-11-23T01:32:32.8507457Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8507526Z             }
2022-11-23T01:32:32.8507593Z             
2022-11-23T01:32:32.8507670Z  - 
2022-11-23T01:32:32.8507791Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8507861Z             {
2022-11-23T01:32:32.8508006Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8508229Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8508354Z                 'obj_weakref': None
2022-11-23T01:32:32.8508580Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8508654Z             }
2022-11-23T01:32:32.8508722Z             
2022-11-23T01:32:32.8508792Z  - 
2022-11-23T01:32:32.8508934Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.8509005Z             {
2022-11-23T01:32:32.8509129Z                 'guard_types': None,
2022-11-23T01:32:32.8509243Z                 'code': None,
2022-11-23T01:32:32.8509367Z                 'obj_weakref': None
2022-11-23T01:32:32.8509487Z                 'guarded_class': None
2022-11-23T01:32:32.8509558Z             }
2022-11-23T01:32:32.8509627Z             
2022-11-23T01:32:32.8509897Z [2022-11-23 01:30:55,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 887
2022-11-23T01:32:32.8510151Z [2022-11-23 01:30:55,420] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8510629Z [2022-11-23 01:30:55,498] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwh7ucmv3auamip7eovk7fmrbi4nkfellj5c6dwik4atho7tct7k.py
2022-11-23T01:32:32.8510906Z [2022-11-23 01:30:55,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 887
2022-11-23T01:32:32.8510913Z 
2022-11-23T01:32:32.8511015Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8511084Z import torch
2022-11-23T01:32:32.8511161Z import random
2022-11-23T01:32:32.8511284Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8511410Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8511415Z 
2022-11-23T01:32:32.8511498Z aten = torch.ops.aten
2022-11-23T01:32:32.8511639Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8511777Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8511783Z 
2022-11-23T01:32:32.8511860Z import triton
2022-11-23T01:32:32.8511947Z import triton.language as tl
2022-11-23T01:32:32.8512077Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8512255Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8512261Z 
2022-11-23T01:32:32.8512265Z 
2022-11-23T01:32:32.8512429Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:32.8512505Z import triton
2022-11-23T01:32:32.8512598Z import triton.language as tl
2022-11-23T01:32:32.8512716Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8512820Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8512950Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8513079Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8513084Z 
2022-11-23T01:32:32.8513480Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.8513556Z @triton.jit
2022-11-23T01:32:32.8513705Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8513785Z     xnumel = 142848
2022-11-23T01:32:32.8513884Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8514018Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8514098Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8514180Z     x1 = (xindex // 64)
2022-11-23T01:32:32.8514256Z     x0 = xindex % 64
2022-11-23T01:32:32.8514327Z     x2 = xindex
2022-11-23T01:32:32.8514431Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:32.8514577Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask)
2022-11-23T01:32:32.8514714Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.8514798Z ''')
2022-11-23T01:32:32.8514803Z 
2022-11-23T01:32:32.8514808Z 
2022-11-23T01:32:32.8514904Z async_compile.wait(globals())
2022-11-23T01:32:32.8514982Z del async_compile
2022-11-23T01:32:32.8514987Z 
2022-11-23T01:32:32.8515063Z def call(args):
2022-11-23T01:32:32.8515147Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8515224Z     args.clear()
2022-11-23T01:32:32.8515432Z     buf0 = empty_strided((2232, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8515517Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8515667Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 142848, grid=grid(142848), stream=stream0)
2022-11-23T01:32:32.8515743Z     del arg0_1
2022-11-23T01:32:32.8515817Z     del arg1_1
2022-11-23T01:32:32.8515936Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T01:32:32.8515941Z 
2022-11-23T01:32:32.8515945Z 
2022-11-23T01:32:32.8516026Z if __name__ == "__main__":
2022-11-23T01:32:32.8516147Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8516276Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8516475Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8516675Z     arg1_1 = rand_strided((2232, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.8516800Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8516805Z 
2022-11-23T01:32:32.8516809Z 
2022-11-23T01:32:32.8516912Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8516991Z import torch
2022-11-23T01:32:32.8517067Z import random
2022-11-23T01:32:32.8517193Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8517319Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8517324Z 
2022-11-23T01:32:32.8517401Z aten = torch.ops.aten
2022-11-23T01:32:32.8517539Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8517640Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8517721Z 
2022-11-23T01:32:32.8517798Z import triton
2022-11-23T01:32:32.8517892Z import triton.language as tl
2022-11-23T01:32:32.8518021Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8518165Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8518191Z 
2022-11-23T01:32:32.8518196Z 
2022-11-23T01:32:32.8518357Z triton_fused_index0 = async_compile.triton('''
2022-11-23T01:32:32.8518426Z import triton
2022-11-23T01:32:32.8518519Z import triton.language as tl
2022-11-23T01:32:32.8518636Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8518740Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8518877Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8519004Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8519008Z 
2022-11-23T01:32:32.8519400Z @pointwise(size_hints=[262144], filename=__file__, meta={'signature': {0: '*i64', 1: '*fp16', 2: '*fp16', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2, 3), equal_to_1=())]})
2022-11-23T01:32:32.8519475Z @triton.jit
2022-11-23T01:32:32.8519612Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8519692Z     xnumel = 142848
2022-11-23T01:32:32.8519791Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8519926Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8520014Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8520096Z     x1 = (xindex // 64)
2022-11-23T01:32:32.8520172Z     x0 = xindex % 64
2022-11-23T01:32:32.8520237Z     x2 = xindex
2022-11-23T01:32:32.8520339Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:32.8520500Z     tmp1 = tl.load(in_ptr1 + (x0 + (64*tmp0) + tl.zeros([XBLOCK], tl.int32)), xmask).to(tl.float32)
2022-11-23T01:32:32.8520636Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.8520723Z ''')
2022-11-23T01:32:32.8520731Z 
2022-11-23T01:32:32.8520736Z 
2022-11-23T01:32:32.8520829Z async_compile.wait(globals())
2022-11-23T01:32:32.8520908Z del async_compile
2022-11-23T01:32:32.8520913Z 
2022-11-23T01:32:32.8520991Z def call(args):
2022-11-23T01:32:32.8521065Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8521148Z     args.clear()
2022-11-23T01:32:32.8521356Z     buf0 = empty_strided((2232, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8521447Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8521598Z     triton_fused_index0.run(arg1_1, arg0_1, buf0, 142848, grid=grid(142848), stream=stream0)
2022-11-23T01:32:32.8521674Z     del arg0_1
2022-11-23T01:32:32.8521748Z     del arg1_1
2022-11-23T01:32:32.8521861Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T01:32:32.8521867Z 
2022-11-23T01:32:32.8521871Z 
2022-11-23T01:32:32.8521954Z if __name__ == "__main__":
2022-11-23T01:32:32.8522075Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8522206Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8522414Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8522614Z     arg1_1 = rand_strided((2232, ), (1, ), device='cuda', dtype=torch.int64)
2022-11-23T01:32:32.8522745Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8522751Z 
2022-11-23T01:32:32.8522840Z ok (0.271s)
2022-11-23T01:32:32.8523390Z   test_zero_dim_reductions_cuda (__main__.CudaTests) ... /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py:381: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled.Consider setting `torch.set_float32_matmul_precision('high')`
2022-11-23T01:32:32.8523472Z   warnings.warn(
2022-11-23T01:32:32.8523719Z [2022-11-23 01:30:55,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:32.8523967Z [2022-11-23 01:30:55,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:32.8524221Z [2022-11-23 01:30:55,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:32.8524509Z [2022-11-23 01:30:55,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:32.8524787Z [2022-11-23 01:30:55,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8525031Z [2022-11-23 01:30:55,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:32.8525275Z [2022-11-23 01:30:55,537] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.8525507Z [2022-11-23 01:30:55,539] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.8525700Z [2022-11-23 01:30:55,539] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8525845Z  __compiled_fn_906 <eval_with_key>.5566 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8525937Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:32.8526052Z call_function, all_1, aten.all, (x_0_, 1, True), {}
2022-11-23T01:32:32.8526153Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:32.8526161Z 
2022-11-23T01:32:32.8526496Z [2022-11-23 01:30:55,539] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:32.8526597Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:32.8526695Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8526787Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:32.8526870Z                6 RETURN_VALUE
2022-11-23T01:32:32.8526875Z 
2022-11-23T01:32:32.8526943Z  
2022-11-23T01:32:32.8527280Z [2022-11-23 01:30:55,540] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:32.8527398Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_906)
2022-11-23T01:32:32.8527495Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8527591Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8527671Z                6 BINARY_SUBSCR
2022-11-23T01:32:32.8527769Z                8 CALL_FUNCTION            1
2022-11-23T01:32:32.8527869Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.8527950Z               12 RETURN_VALUE
2022-11-23T01:32:32.8527955Z 
2022-11-23T01:32:32.8528021Z  
2022-11-23T01:32:32.8528209Z [2022-11-23 01:30:55,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8528286Z  - 
2022-11-23T01:32:32.8528402Z             local 'x' LIST_LENGTH
2022-11-23T01:32:32.8528473Z             {
2022-11-23T01:32:32.8528620Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8528807Z                 'code': ['___check_type_id(x, 94768292458112)', 'len(x) == 3'],
2022-11-23T01:32:32.8528933Z                 'obj_weakref': None
2022-11-23T01:32:32.8529160Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8529230Z             }
2022-11-23T01:32:32.8529300Z             
2022-11-23T01:32:32.8529374Z  - 
2022-11-23T01:32:32.8529506Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:32.8529575Z             {
2022-11-23T01:32:32.8529714Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8529881Z                 'code': ['___check_obj_id(fn, 139777346329504)'],
2022-11-23T01:32:32.8530116Z                 'obj_weakref': <weakref at 0x7f201e6c0040; to 'OpOverloadPacket' at 0x7f2073135ba0>
2022-11-23T01:32:32.8530364Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:32.8530428Z             }
2022-11-23T01:32:32.8530497Z             
2022-11-23T01:32:32.8530574Z  - 
2022-11-23T01:32:32.8530702Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:32.8530803Z             {
2022-11-23T01:32:32.8530957Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8531062Z                 'code': None,
2022-11-23T01:32:32.8531280Z                 'obj_weakref': <weakref at 0x7f1ffad8a5c0; to 'Tensor' at 0x7f201e20c450>
2022-11-23T01:32:32.8531555Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8531626Z             }
2022-11-23T01:32:32.8531696Z             
2022-11-23T01:32:32.8531774Z  - 
2022-11-23T01:32:32.8531904Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8531973Z             {
2022-11-23T01:32:32.8532115Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8532303Z                 'code': ['___check_type_id(x[1], 94768292480384)', 'x[1] == 1'],
2022-11-23T01:32:32.8532430Z                 'obj_weakref': None
2022-11-23T01:32:32.8532652Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8532726Z             }
2022-11-23T01:32:32.8532795Z             
2022-11-23T01:32:32.8532872Z  - 
2022-11-23T01:32:32.8532995Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8533063Z             {
2022-11-23T01:32:32.8533206Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8533373Z                 'code': ['___check_obj_id(x[2], 94768292517600)'],
2022-11-23T01:32:32.8533495Z                 'obj_weakref': None
2022-11-23T01:32:32.8533717Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:32.8533786Z             }
2022-11-23T01:32:32.8533848Z             
2022-11-23T01:32:32.8534110Z [2022-11-23 01:30:55,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 888
2022-11-23T01:32:32.8534359Z [2022-11-23 01:30:55,548] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8534724Z [2022-11-23 01:30:55,609] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3s/c3s6ixoajoobnyfucpxpmutiio7aplgatbwhy2es3rkxebdpo7fd.py
2022-11-23T01:32:32.8534990Z [2022-11-23 01:30:55,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 888
2022-11-23T01:32:32.8535243Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:32.8535460Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:32.8535712Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:32.8535992Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:32.8536240Z [2022-11-23 01:30:55,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:32.8536484Z [2022-11-23 01:30:55,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:32.8536726Z [2022-11-23 01:30:55,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:32.8536968Z [2022-11-23 01:30:55,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:32.8537163Z [2022-11-23 01:30:55,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8537308Z  __compiled_fn_907 <eval_with_key>.5572 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8537402Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:32.8537520Z call_function, all_1, aten.all, (x_0_, 1, False), {}
2022-11-23T01:32:32.8537615Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:32.8537620Z 
2022-11-23T01:32:32.8537952Z [2022-11-23 01:30:55,819] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:32.8538085Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:32.8538185Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8538286Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:32.8538369Z                6 RETURN_VALUE
2022-11-23T01:32:32.8538400Z 
2022-11-23T01:32:32.8538468Z  
2022-11-23T01:32:32.8539037Z [2022-11-23 01:30:55,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:32.8539150Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_907)
2022-11-23T01:32:32.8539247Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:32.8539342Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8539427Z                6 BINARY_SUBSCR
2022-11-23T01:32:32.8539523Z                8 CALL_FUNCTION            1
2022-11-23T01:32:32.8539622Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:32.8539707Z               12 RETURN_VALUE
2022-11-23T01:32:32.8539712Z 
2022-11-23T01:32:32.8539771Z  
2022-11-23T01:32:32.8539964Z [2022-11-23 01:30:55,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8540041Z  - 
2022-11-23T01:32:32.8540164Z             local 'x' LIST_LENGTH
2022-11-23T01:32:32.8540236Z             {
2022-11-23T01:32:32.8540379Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8540566Z                 'code': ['___check_type_id(x, 94768292458112)', 'len(x) == 3'],
2022-11-23T01:32:32.8540682Z                 'obj_weakref': None
2022-11-23T01:32:32.8540907Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8540977Z             }
2022-11-23T01:32:32.8541046Z             
2022-11-23T01:32:32.8541122Z  - 
2022-11-23T01:32:32.8541251Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:32.8541319Z             {
2022-11-23T01:32:32.8541451Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8541620Z                 'code': ['___check_obj_id(fn, 139777346329504)'],
2022-11-23T01:32:32.8541858Z                 'obj_weakref': <weakref at 0x7f201e6c0040; to 'OpOverloadPacket' at 0x7f2073135ba0>
2022-11-23T01:32:32.8542101Z                 'guarded_class': <weakref at 0x7f207395c630; to 'type' at 0x5630fbc23420 (OpOverloadPacket)>
2022-11-23T01:32:32.8542173Z             }
2022-11-23T01:32:32.8542244Z             
2022-11-23T01:32:32.8542340Z  - 
2022-11-23T01:32:32.8542482Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:32.8542557Z             {
2022-11-23T01:32:32.8542704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8542816Z                 'code': None,
2022-11-23T01:32:32.8543029Z                 'obj_weakref': <weakref at 0x7f20726c1b20; to 'Tensor' at 0x7f21159a6a70>
2022-11-23T01:32:32.8543278Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8543347Z             }
2022-11-23T01:32:32.8543418Z             
2022-11-23T01:32:32.8543487Z  - 
2022-11-23T01:32:32.8543618Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:32.8543686Z             {
2022-11-23T01:32:32.8543834Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8544021Z                 'code': ['___check_type_id(x[1], 94768292480384)', 'x[1] == 1'],
2022-11-23T01:32:32.8544149Z                 'obj_weakref': None
2022-11-23T01:32:32.8544372Z                 'guarded_class': <weakref at 0x7f2158f864d0; to 'type' at 0x5630f668c580 (int)>
2022-11-23T01:32:32.8544434Z             }
2022-11-23T01:32:32.8544502Z             
2022-11-23T01:32:32.8544578Z  - 
2022-11-23T01:32:32.8544709Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:32.8544778Z             {
2022-11-23T01:32:32.8544917Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8545080Z                 'code': ['___check_obj_id(x[2], 94768292517568)'],
2022-11-23T01:32:32.8545203Z                 'obj_weakref': None
2022-11-23T01:32:32.8545511Z                 'guarded_class': <weakref at 0x7f2158f867a0; to 'type' at 0x5630f6695700 (bool)>
2022-11-23T01:32:32.8545586Z             }
2022-11-23T01:32:32.8545655Z             
2022-11-23T01:32:32.8545925Z [2022-11-23 01:30:55,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 889
2022-11-23T01:32:32.8546214Z [2022-11-23 01:30:55,827] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:32.8546585Z [2022-11-23 01:30:55,833] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m3/cm3nndmmleby3nvufexoeql5mdakt57w3s3pqwtasa4sudlv3ns6.py
2022-11-23T01:32:32.8546856Z [2022-11-23 01:30:55,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 889
2022-11-23T01:32:32.8546862Z 
2022-11-23T01:32:32.8546955Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8547030Z import torch
2022-11-23T01:32:32.8547104Z import random
2022-11-23T01:32:32.8547227Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8547354Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8547359Z 
2022-11-23T01:32:32.8547442Z aten = torch.ops.aten
2022-11-23T01:32:32.8547582Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8547677Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8547682Z 
2022-11-23T01:32:32.8547757Z import triton
2022-11-23T01:32:32.8547850Z import triton.language as tl
2022-11-23T01:32:32.8547981Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8548124Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8548129Z 
2022-11-23T01:32:32.8548134Z 
2022-11-23T01:32:32.8548337Z triton_fused_logical_not_any_1_logical_not_10 = async_compile.triton('''
2022-11-23T01:32:32.8548413Z import triton
2022-11-23T01:32:32.8548505Z import triton.language as tl
2022-11-23T01:32:32.8548614Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8548721Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8548859Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8548987Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8548992Z 
2022-11-23T01:32:32.8549348Z @pointwise(size_hints=[2], filename=__file__, meta={'signature': {0: '*i1', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.8549425Z @triton.jit
2022-11-23T01:32:32.8549548Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8549622Z     xnumel = 2
2022-11-23T01:32:32.8549714Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8549844Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8549928Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8550001Z     x0 = xindex
2022-11-23T01:32:32.8550076Z     tmp0 = False
2022-11-23T01:32:32.8550153Z     tmp1 = tmp0 == 0
2022-11-23T01:32:32.8550424Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.8550520Z ''')
2022-11-23T01:32:32.8550526Z 
2022-11-23T01:32:32.8550531Z 
2022-11-23T01:32:32.8550641Z async_compile.wait(globals())
2022-11-23T01:32:32.8550733Z del async_compile
2022-11-23T01:32:32.8550743Z 
2022-11-23T01:32:32.8550835Z def call(args):
2022-11-23T01:32:32.8550923Z     arg0_1, = args
2022-11-23T01:32:32.8551013Z     args.clear()
2022-11-23T01:32:32.8551392Z     buf0 = empty_strided((2, 1), (1, 1), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.8551477Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8551639Z     triton_fused_logical_not_any_1_logical_not_10.run(buf0, 2, grid=grid(2), stream=stream0)
2022-11-23T01:32:32.8551715Z     return (buf0, )
2022-11-23T01:32:32.8551720Z 
2022-11-23T01:32:32.8551725Z 
2022-11-23T01:32:32.8551806Z if __name__ == "__main__":
2022-11-23T01:32:32.8551925Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8552094Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8552297Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8552411Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8552416Z 
2022-11-23T01:32:32.8552421Z 
2022-11-23T01:32:32.8552546Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8552615Z import torch
2022-11-23T01:32:32.8552692Z import random
2022-11-23T01:32:32.8552812Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8552937Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8552942Z 
2022-11-23T01:32:32.8553025Z aten = torch.ops.aten
2022-11-23T01:32:32.8553165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8553261Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8553266Z 
2022-11-23T01:32:32.8553334Z import triton
2022-11-23T01:32:32.8553427Z import triton.language as tl
2022-11-23T01:32:32.8553555Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8553700Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8553706Z 
2022-11-23T01:32:32.8553710Z 
2022-11-23T01:32:32.8553912Z triton_fused_logical_not_1_any_1_logical_not0 = async_compile.triton('''
2022-11-23T01:32:32.8553989Z import triton
2022-11-23T01:32:32.8554082Z import triton.language as tl
2022-11-23T01:32:32.8554196Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8554293Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8554430Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8554556Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8554561Z 
2022-11-23T01:32:32.8554909Z @pointwise(size_hints=[2], filename=__file__, meta={'signature': {0: '*i1', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.8554982Z @triton.jit
2022-11-23T01:32:32.8555108Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8555181Z     xnumel = 2
2022-11-23T01:32:32.8555281Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8555405Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8555493Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8555569Z     x0 = xindex
2022-11-23T01:32:32.8555643Z     tmp0 = False
2022-11-23T01:32:32.8555723Z     tmp1 = tmp0 == 0
2022-11-23T01:32:32.8555861Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp1, xmask)
2022-11-23T01:32:32.8555941Z ''')
2022-11-23T01:32:32.8555954Z 
2022-11-23T01:32:32.8555958Z 
2022-11-23T01:32:32.8556046Z async_compile.wait(globals())
2022-11-23T01:32:32.8556122Z del async_compile
2022-11-23T01:32:32.8556127Z 
2022-11-23T01:32:32.8556203Z def call(args):
2022-11-23T01:32:32.8556276Z     arg0_1, = args
2022-11-23T01:32:32.8556354Z     args.clear()
2022-11-23T01:32:32.8556544Z     buf0 = empty_strided((2, ), (1, ), device='cuda', dtype=torch.bool)
2022-11-23T01:32:32.8556639Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8556794Z     triton_fused_logical_not_1_any_1_logical_not0.run(buf0, 2, grid=grid(2), stream=stream0)
2022-11-23T01:32:32.8556871Z     return (buf0, )
2022-11-23T01:32:32.8556876Z 
2022-11-23T01:32:32.8556881Z 
2022-11-23T01:32:32.8556965Z if __name__ == "__main__":
2022-11-23T01:32:32.8557083Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8557215Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8557413Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8557525Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8557530Z 
2022-11-23T01:32:32.8557600Z ok (0.474s)
2022-11-23T01:32:32.8557897Z   test_zeros_cuda (__main__.CudaTests) ... [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8558244Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8558467Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8558721Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8559023Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8559342Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8559685Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8560013Z [2022-11-23 01:30:55,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8560393Z [2022-11-23 01:30:55,977] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769> 
2022-11-23T01:32:32.8560494Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8560589Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8560670Z                4 BINARY_ADD
2022-11-23T01:32:32.8560675Z 
2022-11-23T01:32:32.8560778Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8560877Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8560882Z 
2022-11-23T01:32:32.8560990Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T01:32:32.8560995Z 
2022-11-23T01:32:32.8561094Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8561196Z               14 LOAD_ATTR                2 (float32)
2022-11-23T01:32:32.8561202Z 
2022-11-23T01:32:32.8561302Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8561406Z               18 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8561412Z 
2022-11-23T01:32:32.8561574Z 2772          20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:32.8561675Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8561682Z 
2022-11-23T01:32:32.8561782Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8561879Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8561884Z 
2022-11-23T01:32:32.8561979Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8561984Z 
2022-11-23T01:32:32.8562081Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T01:32:32.8562086Z 
2022-11-23T01:32:32.8562183Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T01:32:32.8562188Z 
2022-11-23T01:32:32.8562286Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T01:32:32.8562291Z 
2022-11-23T01:32:32.8562393Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8562488Z               38 LOAD_ATTR                2 (float32)
2022-11-23T01:32:32.8562498Z 
2022-11-23T01:32:32.8562586Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8562687Z               42 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8562695Z 
2022-11-23T01:32:32.8562882Z 2777          44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:32.8562990Z               46 CALL_FUNCTION_KW         6
2022-11-23T01:32:32.8562996Z 
2022-11-23T01:32:32.8563112Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8563208Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8563301Z               52 LOAD_CONST               6 (2)
2022-11-23T01:32:32.8563397Z               54 LOAD_CONST               7 (3)
2022-11-23T01:32:32.8563489Z               56 LOAD_CONST               0 (None)
2022-11-23T01:32:32.8563643Z               58 LOAD_CONST               8 (('names',))
2022-11-23T01:32:32.8563795Z               60 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8563801Z 
2022-11-23T01:32:32.8563899Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8563998Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8564094Z               66 LOAD_ATTR                4 (ones)
2022-11-23T01:32:32.8564214Z               68 LOAD_CONST               4 (8)
2022-11-23T01:32:32.8564304Z               70 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8564408Z               72 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8564562Z               74 LOAD_CONST               9 (('device',))
2022-11-23T01:32:32.8564660Z               76 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.8564740Z               78 BINARY_ADD
2022-11-23T01:32:32.8564746Z 
2022-11-23T01:32:32.8564845Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8564942Z               82 LOAD_ATTR                5 (full)
2022-11-23T01:32:32.8565044Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T01:32:32.8565135Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T01:32:32.8565230Z               88 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8565328Z               90 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8565482Z               92 LOAD_CONST               9 (('device',))
2022-11-23T01:32:32.8565580Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8565586Z 
2022-11-23T01:32:32.8565682Z 2770          96 BUILD_TUPLE              6
2022-11-23T01:32:32.8565766Z               98 RETURN_VALUE
2022-11-23T01:32:32.8565827Z  
2022-11-23T01:32:32.8565832Z 
2022-11-23T01:32:32.8566146Z [2022-11-23 01:30:55,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771
2022-11-23T01:32:32.8566364Z [2022-11-23 01:30:55,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8566612Z [2022-11-23 01:30:55,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8566894Z [2022-11-23 01:30:55,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8567214Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:32.8567470Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.8567863Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8568177Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773
2022-11-23T01:32:32.8568535Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8568841Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774
2022-11-23T01:32:32.8569228Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:32.8569767Z [2022-11-23 01:30:55,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8570108Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775
2022-11-23T01:32:32.8570525Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T01:32:32.8571002Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:32.8571309Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:32.8571795Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8572295Z [2022-11-23 01:30:55,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8572601Z [2022-11-23 01:30:55,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:32.8572885Z [2022-11-23 01:30:55,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8573341Z [2022-11-23 01:30:55,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8573652Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778
2022-11-23T01:32:32.8574021Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8574329Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779
2022-11-23T01:32:32.8574738Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8575042Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780
2022-11-23T01:32:32.8575486Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8575788Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781
2022-11-23T01:32:32.8576272Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8576577Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782
2022-11-23T01:32:32.8577125Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8577779Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8578114Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783
2022-11-23T01:32:32.8578660Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:32.8579651Z [2022-11-23 01:30:55,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:32.8579966Z [2022-11-23 01:30:55,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:32.8580574Z [2022-11-23 01:30:55,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8581206Z [2022-11-23 01:30:55,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8581520Z [2022-11-23 01:30:55,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785
2022-11-23T01:32:32.8581822Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8582285Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8582726Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8583156Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8583633Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8584229Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.8584792Z [2022-11-23 01:30:55,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:32.8585132Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786
2022-11-23T01:32:32.8585452Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8585796Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8586293Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8586744Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8587226Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8587747Z [2022-11-23 01:30:55,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.8588280Z [2022-11-23 01:30:55,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8588850Z [2022-11-23 01:30:55,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8589228Z [2022-11-23 01:30:55,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8589541Z [2022-11-23 01:30:55,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787
2022-11-23T01:32:32.8589893Z [2022-11-23 01:30:55,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8590527Z [2022-11-23 01:30:55,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8591048Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8591792Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:32.8592352Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T01:32:32.8592906Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.8593479Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8594083Z [2022-11-23 01:30:55,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8594392Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770
2022-11-23T01:32:32.8594766Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8595016Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8595396Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769>
2022-11-23T01:32:32.8595648Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8595879Z [2022-11-23 01:30:55,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8596137Z [2022-11-23 01:30:55,990] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8596391Z [2022-11-23 01:30:55,995] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8596591Z [2022-11-23 01:30:55,995] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8596734Z  __compiled_fn_908 <eval_with_key>.5578 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8596830Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8597010Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.8597342Z call_function, zeros, <built-in method zeros of type object at 0x7f209c394c60>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8597669Z call_function, zeros_1, <built-in method zeros of type object at 0x7f209c394c60>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8597909Z call_function, zeros_2, <built-in method zeros of type object at 0x7f209c394c60>, (2, 3), {'names': None}
2022-11-23T01:32:32.8598186Z call_function, ones, <built-in method ones of type object at 0x7f209c394c60>, (8,), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8598399Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T01:32:32.8598691Z call_function, full, <built-in method full of type object at 0x7f209c394c60>, ((2, 3), 3.1416), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8598841Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T01:32:32.8598878Z 
2022-11-23T01:32:32.8599209Z [2022-11-23 01:30:55,996] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8599310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8599408Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8599504Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8599600Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8599694Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8599790Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8599876Z              12 RETURN_VALUE
2022-11-23T01:32:32.8599881Z 
2022-11-23T01:32:32.8599949Z  
2022-11-23T01:32:32.8600274Z [2022-11-23 01:30:55,996] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8600393Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_908)
2022-11-23T01:32:32.8600484Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8600581Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8600665Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8600760Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8600873Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8600984Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8601079Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8601156Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.8601268Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8601364Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8601449Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8601558Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8601654Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.8601738Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.8601846Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8601935Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.8602016Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8602125Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8602221Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.8602304Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.8602412Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8602506Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.8602584Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.8602685Z              48 BUILD_TUPLE              6
2022-11-23T01:32:32.8602787Z              50 RETURN_VALUE
2022-11-23T01:32:32.8602793Z 
2022-11-23T01:32:32.8602861Z  
2022-11-23T01:32:32.8603074Z [2022-11-23 01:30:55,997] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8603157Z  - 
2022-11-23T01:32:32.8603284Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8603347Z             {
2022-11-23T01:32:32.8603494Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8603691Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8603819Z                 'obj_weakref': None
2022-11-23T01:32:32.8604048Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8604118Z             }
2022-11-23T01:32:32.8604190Z             
2022-11-23T01:32:32.8604260Z  - 
2022-11-23T01:32:32.8604388Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.8604491Z             {
2022-11-23T01:32:32.8604638Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.8604816Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.8605038Z                 'obj_weakref': <weakref at 0x7f1ffad4ecf0; to 'Tensor' at 0x7f1fd9a8f290>
2022-11-23T01:32:32.8605320Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8605384Z             }
2022-11-23T01:32:32.8605454Z             
2022-11-23T01:32:32.8605531Z  - 
2022-11-23T01:32:32.8605663Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8605734Z             {
2022-11-23T01:32:32.8605885Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8605999Z                 'code': None,
2022-11-23T01:32:32.8606211Z                 'obj_weakref': <weakref at 0x7f1ffad4ecf0; to 'Tensor' at 0x7f1fd9a8f290>
2022-11-23T01:32:32.8606473Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8606545Z             }
2022-11-23T01:32:32.8606614Z             
2022-11-23T01:32:32.8606691Z  - 
2022-11-23T01:32:32.8606830Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8606901Z             {
2022-11-23T01:32:32.8607035Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8607211Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:32.8607335Z                 'obj_weakref': None
2022-11-23T01:32:32.8607570Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8607639Z             }
2022-11-23T01:32:32.8607708Z             
2022-11-23T01:32:32.8607784Z  - 
2022-11-23T01:32:32.8607905Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8607978Z             {
2022-11-23T01:32:32.8608121Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8608348Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8608473Z                 'obj_weakref': None
2022-11-23T01:32:32.8608699Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8608772Z             }
2022-11-23T01:32:32.8608834Z             
2022-11-23T01:32:32.8608911Z  - 
2022-11-23T01:32:32.8609051Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.8609120Z             {
2022-11-23T01:32:32.8609247Z                 'guard_types': None,
2022-11-23T01:32:32.8609361Z                 'code': None,
2022-11-23T01:32:32.8609487Z                 'obj_weakref': None
2022-11-23T01:32:32.8609608Z                 'guarded_class': None
2022-11-23T01:32:32.8609678Z             }
2022-11-23T01:32:32.8609745Z             
2022-11-23T01:32:32.8609821Z  - 
2022-11-23T01:32:32.8609979Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:32.8610048Z             {
2022-11-23T01:32:32.8610199Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8610375Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:32.8610500Z                 'obj_weakref': None
2022-11-23T01:32:32.8610728Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.8610800Z             }
2022-11-23T01:32:32.8610869Z             
2022-11-23T01:32:32.8611136Z [2022-11-23 01:30:56,006] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 890
2022-11-23T01:32:32.8611439Z [2022-11-23 01:30:56,021] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.8611683Z [2022-11-23 01:30:56,022] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.8611932Z [2022-11-23 01:30:56,023] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.8612228Z [2022-11-23 01:30:56,026] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:32.8612602Z [2022-11-23 01:30:57,578] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3z/c3zjdrzhnrvxg6dfrb3lzbgykep5vpibrxv67dn4pwcxthhdsjig.py
2022-11-23T01:32:32.8612895Z [2022-11-23 01:30:57,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 890
2022-11-23T01:32:32.8613138Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8613459Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8613683Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8613941Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8614224Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8614540Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8614894Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8615221Z [2022-11-23 01:30:57,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8615598Z [2022-11-23 01:30:57,583] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769> 
2022-11-23T01:32:32.8615700Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8615801Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8615881Z                4 BINARY_ADD
2022-11-23T01:32:32.8615887Z 
2022-11-23T01:32:32.8615988Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8616085Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8616093Z 
2022-11-23T01:32:32.8616193Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T01:32:32.8616207Z 
2022-11-23T01:32:32.8616300Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8616406Z               14 LOAD_ATTR                2 (float32)
2022-11-23T01:32:32.8616411Z 
2022-11-23T01:32:32.8616507Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8616609Z               18 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8616614Z 
2022-11-23T01:32:32.8616784Z 2772          20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:32.8616883Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8616891Z 
2022-11-23T01:32:32.8616988Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8617086Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8617091Z 
2022-11-23T01:32:32.8617180Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T01:32:32.8617194Z 
2022-11-23T01:32:32.8617284Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T01:32:32.8617289Z 
2022-11-23T01:32:32.8617388Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T01:32:32.8617394Z 
2022-11-23T01:32:32.8617491Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T01:32:32.8617496Z 
2022-11-23T01:32:32.8617593Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8617693Z               38 LOAD_ATTR                2 (float32)
2022-11-23T01:32:32.8617698Z 
2022-11-23T01:32:32.8617791Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8617891Z               42 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8617896Z 
2022-11-23T01:32:32.8618093Z 2777          44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:32.8618188Z               46 CALL_FUNCTION_KW         6
2022-11-23T01:32:32.8618200Z 
2022-11-23T01:32:32.8618291Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8618448Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:32.8618544Z               52 LOAD_CONST               6 (2)
2022-11-23T01:32:32.8618641Z               54 LOAD_CONST               7 (3)
2022-11-23T01:32:32.8618744Z               56 LOAD_CONST               0 (None)
2022-11-23T01:32:32.8619188Z               58 LOAD_CONST               8 (('names',))
2022-11-23T01:32:32.8619289Z               60 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8619294Z 
2022-11-23T01:32:32.8619386Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8619485Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8619582Z               66 LOAD_ATTR                4 (ones)
2022-11-23T01:32:32.8619678Z               68 LOAD_CONST               4 (8)
2022-11-23T01:32:32.8619774Z               70 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8619875Z               72 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8620031Z               74 LOAD_CONST               9 (('device',))
2022-11-23T01:32:32.8620126Z               76 CALL_FUNCTION_KW         2
2022-11-23T01:32:32.8620207Z               78 BINARY_ADD
2022-11-23T01:32:32.8620212Z 
2022-11-23T01:32:32.8620311Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:32.8620410Z               82 LOAD_ATTR                5 (full)
2022-11-23T01:32:32.8620509Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T01:32:32.8620605Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T01:32:32.8620700Z               88 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8620798Z               90 LOAD_ATTR                3 (device)
2022-11-23T01:32:32.8620945Z               92 LOAD_CONST               9 (('device',))
2022-11-23T01:32:32.8621045Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:32:32.8621050Z 
2022-11-23T01:32:32.8621146Z 2770          96 BUILD_TUPLE              6
2022-11-23T01:32:32.8621226Z               98 RETURN_VALUE
2022-11-23T01:32:32.8621295Z  
2022-11-23T01:32:32.8621300Z 
2022-11-23T01:32:32.8621617Z [2022-11-23 01:30:57,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771
2022-11-23T01:32:32.8621834Z [2022-11-23 01:30:57,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8622077Z [2022-11-23 01:30:57,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:32.8622355Z [2022-11-23 01:30:57,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:32.8622669Z [2022-11-23 01:30:57,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:32.8622922Z [2022-11-23 01:30:57,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:32.8623313Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8623628Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773
2022-11-23T01:32:32.8623994Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8624305Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774
2022-11-23T01:32:32.8624793Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:32.8625340Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8625685Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775
2022-11-23T01:32:32.8626106Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T01:32:32.8626565Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:32.8626875Z [2022-11-23 01:30:57,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:32:32.8627360Z [2022-11-23 01:30:57,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8627866Z [2022-11-23 01:30:57,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8628165Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:32.8628442Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8628859Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8629172Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778
2022-11-23T01:32:32.8629543Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8629849Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779
2022-11-23T01:32:32.8630351Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8630708Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780
2022-11-23T01:32:32.8631606Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8631945Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781
2022-11-23T01:32:32.8632442Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8632807Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782
2022-11-23T01:32:32.8633321Z [2022-11-23 01:30:57,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8633981Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8634292Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783
2022-11-23T01:32:32.8634834Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:32.8635415Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:32.8635723Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:32:32.8636326Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8636947Z [2022-11-23 01:30:57,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8637258Z [2022-11-23 01:30:57,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785
2022-11-23T01:32:32.8637560Z [2022-11-23 01:30:57,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8638005Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8638403Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8638855Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8639328Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:32.8639871Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:32.8640428Z [2022-11-23 01:30:57,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f209c394c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:32.8640739Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786
2022-11-23T01:32:32.8641054Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8641405Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8641893Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8642348Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8642870Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int)]
2022-11-23T01:32:32.8643386Z [2022-11-23 01:30:57,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:32.8643918Z [2022-11-23 01:30:57,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8644481Z [2022-11-23 01:30:57,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f209c394c60>), ConstantVariable(int), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8644854Z [2022-11-23 01:30:57,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8645162Z [2022-11-23 01:30:57,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787
2022-11-23T01:32:32.8645541Z [2022-11-23 01:30:57,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8646025Z [2022-11-23 01:30:57,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:32.8646502Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>)]
2022-11-23T01:32:32.8646991Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple)]
2022-11-23T01:32:32.8647511Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T01:32:32.8648070Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:32.8648640Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cuda:0)]
2022-11-23T01:32:32.8649242Z [2022-11-23 01:30:57,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f209c394c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cuda:0), ConstantVariable(tuple)]
2022-11-23T01:32:32.8649554Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770
2022-11-23T01:32:32.8649925Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8650172Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8650557Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f2157eaf310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769>
2022-11-23T01:32:32.8650807Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8651047Z [2022-11-23 01:30:57,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8651310Z [2022-11-23 01:30:57,597] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8651566Z [2022-11-23 01:30:57,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8651763Z [2022-11-23 01:30:57,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8651900Z  __compiled_fn_909 <eval_with_key>.5584 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8651996Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8652175Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:32.8652571Z call_function, zeros, <built-in method zeros of type object at 0x7f209c394c60>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8652919Z call_function, zeros_1, <built-in method zeros of type object at 0x7f209c394c60>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8653190Z call_function, zeros_2, <built-in method zeros of type object at 0x7f209c394c60>, (2, 3), {'names': None}
2022-11-23T01:32:32.8653468Z call_function, ones, <built-in method ones of type object at 0x7f209c394c60>, (8,), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8653653Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T01:32:32.8653944Z call_function, full, <built-in method full of type object at 0x7f209c394c60>, ((2, 3), 3.1416), {'device': device(type='cuda', index=0)}
2022-11-23T01:32:32.8654081Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T01:32:32.8654087Z 
2022-11-23T01:32:32.8654421Z [2022-11-23 01:30:57,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8654524Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8654626Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8654720Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8654823Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8654916Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8655011Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8655088Z              12 RETURN_VALUE
2022-11-23T01:32:32.8655093Z 
2022-11-23T01:32:32.8655160Z  
2022-11-23T01:32:32.8655484Z [2022-11-23 01:30:57,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8655604Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_909)
2022-11-23T01:32:32.8655702Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8655799Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8655882Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8655977Z               8 CALL_FUNCTION            1
2022-11-23T01:32:32.8656085Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8656196Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8656293Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8656381Z              16 BINARY_SUBSCR
2022-11-23T01:32:32.8656490Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8656587Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8656669Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8656770Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8656865Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:32.8656949Z              28 BINARY_SUBSCR
2022-11-23T01:32:32.8657057Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8657156Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:32.8657237Z              34 BINARY_SUBSCR
2022-11-23T01:32:32.8657347Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8657437Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:32.8657519Z              40 BINARY_SUBSCR
2022-11-23T01:32:32.8657626Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8657721Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:32.8657801Z              46 BINARY_SUBSCR
2022-11-23T01:32:32.8657895Z              48 BUILD_TUPLE              6
2022-11-23T01:32:32.8657977Z              50 RETURN_VALUE
2022-11-23T01:32:32.8657983Z 
2022-11-23T01:32:32.8658042Z  
2022-11-23T01:32:32.8658234Z [2022-11-23 01:30:57,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8658362Z  - 
2022-11-23T01:32:32.8658489Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8658561Z             {
2022-11-23T01:32:32.8658710Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8659325Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 1'],
2022-11-23T01:32:32.8659527Z                 'obj_weakref': None
2022-11-23T01:32:32.8659757Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8659829Z             }
2022-11-23T01:32:32.8659898Z             
2022-11-23T01:32:32.8659975Z  - 
2022-11-23T01:32:32.8660103Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:32.8660177Z             {
2022-11-23T01:32:32.8660315Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:32.8660491Z                 'code': ['___check_type_id(ex[0], 94768375983968)'],
2022-11-23T01:32:32.8660707Z                 'obj_weakref': <weakref at 0x7f1fd9b77650; to 'Tensor' at 0x7f1fd97e5530>
2022-11-23T01:32:32.8660964Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8661035Z             }
2022-11-23T01:32:32.8661104Z             
2022-11-23T01:32:32.8661181Z  - 
2022-11-23T01:32:32.8661307Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8661377Z             {
2022-11-23T01:32:32.8661525Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8661639Z                 'code': None,
2022-11-23T01:32:32.8661854Z                 'obj_weakref': <weakref at 0x7f1fd9b77650; to 'Tensor' at 0x7f1fd97e5530>
2022-11-23T01:32:32.8662107Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8662177Z             }
2022-11-23T01:32:32.8662239Z             
2022-11-23T01:32:32.8662316Z  - 
2022-11-23T01:32:32.8662453Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8662523Z             {
2022-11-23T01:32:32.8662667Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8662845Z                 'code': ['___check_obj_id(model, 139780386450320)'],
2022-11-23T01:32:32.8662969Z                 'obj_weakref': None
2022-11-23T01:32:32.8663197Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8663273Z             }
2022-11-23T01:32:32.8663342Z             
2022-11-23T01:32:32.8663418Z  - 
2022-11-23T01:32:32.8663545Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8663613Z             {
2022-11-23T01:32:32.8663755Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8663970Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8664094Z                 'obj_weakref': None
2022-11-23T01:32:32.8664321Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8664389Z             }
2022-11-23T01:32:32.8664461Z             
2022-11-23T01:32:32.8664536Z  - 
2022-11-23T01:32:32.8664675Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:32.8664739Z             {
2022-11-23T01:32:32.8664864Z                 'guard_types': None,
2022-11-23T01:32:32.8664977Z                 'code': None,
2022-11-23T01:32:32.8665102Z                 'obj_weakref': None
2022-11-23T01:32:32.8665229Z                 'guarded_class': None
2022-11-23T01:32:32.8665298Z             }
2022-11-23T01:32:32.8665367Z             
2022-11-23T01:32:32.8665436Z  - 
2022-11-23T01:32:32.8665594Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:32.8665664Z             {
2022-11-23T01:32:32.8665812Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:32.8665993Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:32.8666117Z                 'obj_weakref': None
2022-11-23T01:32:32.8666392Z                 'guarded_class': <weakref at 0x7f20d33b5b70; to 'type' at 0x7f209c390c80 (dtype)>
2022-11-23T01:32:32.8666457Z             }
2022-11-23T01:32:32.8666527Z             
2022-11-23T01:32:32.8666797Z [2022-11-23 01:30:57,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 891
2022-11-23T01:32:32.8667098Z [2022-11-23 01:30:57,629] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0'), SchedulerNode(name='buf4')]
2022-11-23T01:32:32.8667372Z [2022-11-23 01:30:57,631] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:32.8667621Z [2022-11-23 01:30:57,632] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf2')]
2022-11-23T01:32:32.8667871Z [2022-11-23 01:30:57,634] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf5')]
2022-11-23T01:32:32.8667877Z 
2022-11-23T01:32:32.8667979Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8668048Z import torch
2022-11-23T01:32:32.8668124Z import random
2022-11-23T01:32:32.8668251Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8668380Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8668386Z 
2022-11-23T01:32:32.8668469Z aten = torch.ops.aten
2022-11-23T01:32:32.8668614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8668714Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8668719Z 
2022-11-23T01:32:32.8668796Z import triton
2022-11-23T01:32:32.8668883Z import triton.language as tl
2022-11-23T01:32:32.8669012Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8669157Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8669162Z 
2022-11-23T01:32:32.8669167Z 
2022-11-23T01:32:32.8669341Z triton_fused_add_1_ones_add0 = async_compile.triton('''
2022-11-23T01:32:32.8669416Z import triton
2022-11-23T01:32:32.8669509Z import triton.language as tl
2022-11-23T01:32:32.8669626Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8669725Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8669863Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8669990Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8669996Z 
2022-11-23T01:32:32.8670513Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8670604Z @triton.jit
2022-11-23T01:32:32.8670766Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8670853Z     xnumel = 8
2022-11-23T01:32:32.8670966Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8671388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8671486Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8671563Z     x0 = xindex
2022-11-23T01:32:32.8671664Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:32.8671738Z     tmp1 = 1
2022-11-23T01:32:32.8671818Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8671958Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8672087Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8672183Z ''')
2022-11-23T01:32:32.8672188Z 
2022-11-23T01:32:32.8672193Z 
2022-11-23T01:32:32.8672356Z triton_fused_zeros1 = async_compile.triton('''
2022-11-23T01:32:32.8672431Z import triton
2022-11-23T01:32:32.8672525Z import triton.language as tl
2022-11-23T01:32:32.8672642Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8672747Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8672884Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8673006Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8673011Z 
2022-11-23T01:32:32.8673406Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8673485Z @triton.jit
2022-11-23T01:32:32.8673612Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8673688Z     xnumel = 32768
2022-11-23T01:32:32.8673811Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8673943Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8674028Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8674095Z     x0 = xindex
2022-11-23T01:32:32.8674167Z     tmp0 = 0
2022-11-23T01:32:32.8674304Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.8674396Z ''')
2022-11-23T01:32:32.8674401Z 
2022-11-23T01:32:32.8674405Z 
2022-11-23T01:32:32.8674547Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:32:32.8674761Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8674885Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8674945Z {
2022-11-23T01:32:32.8675027Z     #pragma GCC ivdep
2022-11-23T01:32:32.8675115Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:32.8675183Z     {
2022-11-23T01:32:32.8675251Z         {
2022-11-23T01:32:32.8675321Z             {
2022-11-23T01:32:32.8675433Z                 auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:32.8675516Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:32.8675586Z             }
2022-11-23T01:32:32.8675653Z         }
2022-11-23T01:32:32.8675720Z     }
2022-11-23T01:32:32.8675788Z }
2022-11-23T01:32:32.8675874Z ''')
2022-11-23T01:32:32.8675880Z 
2022-11-23T01:32:32.8675884Z 
2022-11-23T01:32:32.8676040Z triton_fused_full3 = async_compile.triton('''
2022-11-23T01:32:32.8676110Z import triton
2022-11-23T01:32:32.8676204Z import triton.language as tl
2022-11-23T01:32:32.8676322Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8676430Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8676570Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8676698Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8676704Z 
2022-11-23T01:32:32.8677056Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.8677137Z @triton.jit
2022-11-23T01:32:32.8677255Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8677330Z     xnumel = 6
2022-11-23T01:32:32.8677429Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8677559Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8677644Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8677716Z     x0 = xindex
2022-11-23T01:32:32.8677790Z     tmp0 = 3.1416
2022-11-23T01:32:32.8677920Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.8678006Z ''')
2022-11-23T01:32:32.8678011Z 
2022-11-23T01:32:32.8678018Z 
2022-11-23T01:32:32.8678113Z async_compile.wait(globals())
2022-11-23T01:32:32.8678192Z del async_compile
2022-11-23T01:32:32.8678197Z 
2022-11-23T01:32:32.8678274Z def call(args):
2022-11-23T01:32:32.8678351Z     arg0_1, = args
2022-11-23T01:32:32.8678430Z     args.clear()
2022-11-23T01:32:32.8678617Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8678814Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8678906Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8679059Z     triton_fused_add_1_ones_add0.run(arg0_1, buf0, buf4, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.8679133Z     del arg0_1
2022-11-23T01:32:32.8679358Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8679497Z     triton_fused_zeros1.run(buf1, 32768, grid=grid(32768), stream=stream0)
2022-11-23T01:32:32.8679765Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8679895Z     triton_fused_zeros1.run(buf2, 32768, grid=grid(32768), stream=stream0)
2022-11-23T01:32:32.8680096Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8680229Z     kernel_cpp_2(c_void_p(buf3.data_ptr()))
2022-11-23T01:32:32.8680427Z     buf5 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8680556Z     triton_fused_full3.run(buf5, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.8680664Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:32.8680670Z 
2022-11-23T01:32:32.8680674Z 
2022-11-23T01:32:32.8680756Z if __name__ == "__main__":
2022-11-23T01:32:32.8680880Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8681004Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8681199Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8681314Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8681319Z 
2022-11-23T01:32:32.8681682Z [2022-11-23 01:30:57,702] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/43/c43vq3e2xvmk5hnhi7wzvjphenus7mdwqggxuz2wamc6ibnb52sc.py
2022-11-23T01:32:32.8681955Z [2022-11-23 01:30:57,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 891
2022-11-23T01:32:32.8681961Z 
2022-11-23T01:32:32.8682062Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8682137Z import torch
2022-11-23T01:32:32.8682215Z import random
2022-11-23T01:32:32.8682330Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8682481Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8682486Z 
2022-11-23T01:32:32.8682578Z aten = torch.ops.aten
2022-11-23T01:32:32.8682735Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8682832Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8682841Z 
2022-11-23T01:32:32.8682915Z import triton
2022-11-23T01:32:32.8683008Z import triton.language as tl
2022-11-23T01:32:32.8683136Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8683273Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8683282Z 
2022-11-23T01:32:32.8683294Z 
2022-11-23T01:32:32.8683461Z triton_fused_add_add_1_ones0 = async_compile.triton('''
2022-11-23T01:32:32.8683539Z import triton
2022-11-23T01:32:32.8683632Z import triton.language as tl
2022-11-23T01:32:32.8683747Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8683851Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8683987Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8684116Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8684121Z 
2022-11-23T01:32:32.8684498Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp16', 1: '*fp16', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:32.8684573Z @triton.jit
2022-11-23T01:32:32.8684719Z def kernel(in_ptr0, out_ptr0, out_ptr1, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8684794Z     xnumel = 8
2022-11-23T01:32:32.8684895Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8685029Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8685114Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8685179Z     x0 = xindex
2022-11-23T01:32:32.8685300Z     tmp0 = tl.load(in_ptr0 + (x0), xmask).to(tl.float32)
2022-11-23T01:32:32.8685373Z     tmp1 = 1
2022-11-23T01:32:32.8685453Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:32.8685545Z     tmp3 = tmp0.to(tl.float32)
2022-11-23T01:32:32.8685624Z     tmp4 = tmp3 + tmp1
2022-11-23T01:32:32.8685762Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:32.8685922Z     tl.store(out_ptr1 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp4, xmask)
2022-11-23T01:32:32.8686010Z ''')
2022-11-23T01:32:32.8686016Z 
2022-11-23T01:32:32.8686021Z 
2022-11-23T01:32:32.8686183Z triton_fused_zeros1 = async_compile.triton('''
2022-11-23T01:32:32.8686261Z import triton
2022-11-23T01:32:32.8686354Z import triton.language as tl
2022-11-23T01:32:32.8686499Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8686605Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8686741Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8686862Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8686867Z 
2022-11-23T01:32:32.8687230Z @pointwise(size_hints=[32768], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:32.8687305Z @triton.jit
2022-11-23T01:32:32.8687429Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8687509Z     xnumel = 32768
2022-11-23T01:32:32.8687608Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8687740Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8687825Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8687890Z     x0 = xindex
2022-11-23T01:32:32.8687965Z     tmp0 = 0
2022-11-23T01:32:32.8688103Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.8688189Z ''')
2022-11-23T01:32:32.8688194Z 
2022-11-23T01:32:32.8688198Z 
2022-11-23T01:32:32.8688335Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:32:32.8688546Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8688666Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8688725Z {
2022-11-23T01:32:32.8688808Z     #pragma GCC ivdep
2022-11-23T01:32:32.8688894Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:32.8688961Z     {
2022-11-23T01:32:32.8689030Z         {
2022-11-23T01:32:32.8689102Z             {
2022-11-23T01:32:32.8689210Z                 auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:32.8689293Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:32.8689362Z             }
2022-11-23T01:32:32.8689429Z         }
2022-11-23T01:32:32.8689501Z     }
2022-11-23T01:32:32.8689566Z }
2022-11-23T01:32:32.8689652Z ''')
2022-11-23T01:32:32.8689657Z 
2022-11-23T01:32:32.8689662Z 
2022-11-23T01:32:32.8689820Z triton_fused_full3 = async_compile.triton('''
2022-11-23T01:32:32.8689889Z import triton
2022-11-23T01:32:32.8689983Z import triton.language as tl
2022-11-23T01:32:32.8690099Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:32.8690203Z from torch._inductor.ir import TileHint
2022-11-23T01:32:32.8690338Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:32.8690466Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:32.8690471Z 
2022-11-23T01:32:32.8690822Z @pointwise(size_hints=[8], filename=__file__, meta={'signature': {0: '*fp32', 1: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0,), equal_to_1=())]})
2022-11-23T01:32:32.8690901Z @triton.jit
2022-11-23T01:32:32.8691020Z def kernel(out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:32.8691097Z     xnumel = 6
2022-11-23T01:32:32.8691196Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:32.8691325Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:32.8691410Z     xmask = xindex < xnumel
2022-11-23T01:32:32.8691483Z     x0 = xindex
2022-11-23T01:32:32.8691560Z     tmp0 = 3.1416
2022-11-23T01:32:32.8691689Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp0, xmask)
2022-11-23T01:32:32.8691775Z ''')
2022-11-23T01:32:32.8691780Z 
2022-11-23T01:32:32.8691785Z 
2022-11-23T01:32:32.8691882Z async_compile.wait(globals())
2022-11-23T01:32:32.8691960Z del async_compile
2022-11-23T01:32:32.8691966Z 
2022-11-23T01:32:32.8692043Z def call(args):
2022-11-23T01:32:32.8692148Z     arg0_1, = args
2022-11-23T01:32:32.8692230Z     args.clear()
2022-11-23T01:32:32.8692418Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8692610Z     buf4 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8692727Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:32.8692909Z     triton_fused_add_add_1_ones0.run(arg0_1, buf0, buf4, 8, grid=grid(8), stream=stream0)
2022-11-23T01:32:32.8692989Z     del arg0_1
2022-11-23T01:32:32.8693231Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8693365Z     triton_fused_zeros1.run(buf1, 32768, grid=grid(32768), stream=stream0)
2022-11-23T01:32:32.8693588Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8693717Z     triton_fused_zeros1.run(buf2, 32768, grid=grid(32768), stream=stream0)
2022-11-23T01:32:32.8693916Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8694028Z     kernel_cpp_2(c_void_p(buf3.data_ptr()))
2022-11-23T01:32:32.8694224Z     buf5 = empty_strided((2, 3), (3, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:32.8694353Z     triton_fused_full3.run(buf5, 6, grid=grid(6), stream=stream0)
2022-11-23T01:32:32.8694463Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:32.8694469Z 
2022-11-23T01:32:32.8694473Z 
2022-11-23T01:32:32.8694555Z if __name__ == "__main__":
2022-11-23T01:32:32.8694674Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8694797Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8694992Z     arg0_1 = rand_strided((8, ), (1, ), device='cuda', dtype=torch.float16)
2022-11-23T01:32:32.8695105Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:32.8695110Z 
2022-11-23T01:32:32.8695182Z ok (1.731s)
2022-11-23T01:32:32.8695536Z   test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8695852Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8696077Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8696334Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8696609Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8696920Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8697264Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8697586Z [2022-11-23 01:30:57,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8697964Z [2022-11-23 01:30:57,708] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8698067Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8698165Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8698244Z               4 BINARY_ADD
2022-11-23T01:32:32.8698341Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8698423Z               8 RETURN_VALUE
2022-11-23T01:32:32.8698484Z  
2022-11-23T01:32:32.8698489Z 
2022-11-23T01:32:32.8699302Z [2022-11-23 01:30:57,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8699533Z [2022-11-23 01:30:57,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8699775Z [2022-11-23 01:30:57,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8700087Z [2022-11-23 01:30:57,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8700333Z [2022-11-23 01:30:57,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8700583Z [2022-11-23 01:30:57,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8700969Z [2022-11-23 01:30:57,709] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8701219Z [2022-11-23 01:30:57,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8701449Z [2022-11-23 01:30:57,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8701707Z [2022-11-23 01:30:57,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8701961Z [2022-11-23 01:30:57,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8702155Z [2022-11-23 01:30:57,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8702296Z  __compiled_fn_910 <eval_with_key>.5590 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8702392Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8702486Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8702667Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8702762Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8702774Z 
2022-11-23T01:32:32.8703097Z [2022-11-23 01:30:57,712] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8703199Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8703298Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8703395Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8703495Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8703588Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8703685Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8703761Z              12 RETURN_VALUE
2022-11-23T01:32:32.8703766Z 
2022-11-23T01:32:32.8703832Z  
2022-11-23T01:32:32.8704150Z [2022-11-23 01:30:57,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8704269Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_910)
2022-11-23T01:32:32.8704368Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8704466Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8704548Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8704645Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8704734Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8704817Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8704912Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8705024Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8705133Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8705229Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8705309Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8705398Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8705479Z              26 RETURN_VALUE
2022-11-23T01:32:32.8705484Z 
2022-11-23T01:32:32.8705550Z  
2022-11-23T01:32:32.8705793Z [2022-11-23 01:30:57,713] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8705871Z  - 
2022-11-23T01:32:32.8706000Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8706072Z             {
2022-11-23T01:32:32.8706213Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8706408Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8706561Z                 'obj_weakref': None
2022-11-23T01:32:32.8706791Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8706860Z             }
2022-11-23T01:32:32.8706929Z             
2022-11-23T01:32:32.8707007Z  - 
2022-11-23T01:32:32.8707132Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8707200Z             {
2022-11-23T01:32:32.8707348Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8707464Z                 'code': None,
2022-11-23T01:32:32.8707683Z                 'obj_weakref': <weakref at 0x7f2000fe68e0; to 'Tensor' at 0x7f2069bfe6b0>
2022-11-23T01:32:32.8707936Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8708006Z             }
2022-11-23T01:32:32.8708069Z             
2022-11-23T01:32:32.8708149Z  - 
2022-11-23T01:32:32.8708282Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8708351Z             {
2022-11-23T01:32:32.8708502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8708615Z                 'code': None,
2022-11-23T01:32:32.8708828Z                 'obj_weakref': <weakref at 0x7f20726c03b0; to 'Tensor' at 0x7f2023208b30>
2022-11-23T01:32:32.8709071Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8709142Z             }
2022-11-23T01:32:32.8709211Z             
2022-11-23T01:32:32.8709288Z  - 
2022-11-23T01:32:32.8709426Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8709495Z             {
2022-11-23T01:32:32.8709640Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8709810Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8709935Z                 'obj_weakref': None
2022-11-23T01:32:32.8710168Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8710242Z             }
2022-11-23T01:32:32.8710447Z             
2022-11-23T01:32:32.8710539Z  - 
2022-11-23T01:32:32.8710686Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8710759Z             {
2022-11-23T01:32:32.8710921Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8711512Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8711640Z                 'obj_weakref': None
2022-11-23T01:32:32.8711868Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8711937Z             }
2022-11-23T01:32:32.8712010Z             
2022-11-23T01:32:32.8712270Z [2022-11-23 01:30:57,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 892
2022-11-23T01:32:32.8712630Z [2022-11-23 01:30:57,723] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z3/cz3ew4t6v2tc6a3vlak4yi6ok5iktt3d5z6inej7ute2k6wexdu2.py
2022-11-23T01:32:32.8712939Z [2022-11-23 01:30:57,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 892
2022-11-23T01:32:32.8712947Z 
2022-11-23T01:32:32.8713058Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8713133Z import torch
2022-11-23T01:32:32.8713207Z import random
2022-11-23T01:32:32.8713329Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8713456Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8713461Z 
2022-11-23T01:32:32.8713538Z aten = torch.ops.aten
2022-11-23T01:32:32.8713678Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8713825Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8713831Z 
2022-11-23T01:32:32.8713908Z import triton
2022-11-23T01:32:32.8714001Z import triton.language as tl
2022-11-23T01:32:32.8714130Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8714299Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8714305Z 
2022-11-23T01:32:32.8714309Z 
2022-11-23T01:32:32.8714450Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8714656Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8714785Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8714901Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8715007Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8715075Z {
2022-11-23T01:32:32.8715179Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8715245Z     {
2022-11-23T01:32:32.8715325Z         #pragma omp for 
2022-11-23T01:32:32.8715415Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.8715485Z         {
2022-11-23T01:32:32.8715663Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.8715805Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.8715900Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8715998Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.8716067Z         }
2022-11-23T01:32:32.8716162Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.8716250Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.8716319Z         {
2022-11-23T01:32:32.8716408Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8716499Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.8716588Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8716668Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.8716738Z         }
2022-11-23T01:32:32.8716808Z     }
2022-11-23T01:32:32.8716876Z }
2022-11-23T01:32:32.8716963Z ''')
2022-11-23T01:32:32.8716969Z 
2022-11-23T01:32:32.8716973Z 
2022-11-23T01:32:32.8717067Z async_compile.wait(globals())
2022-11-23T01:32:32.8717145Z del async_compile
2022-11-23T01:32:32.8717151Z 
2022-11-23T01:32:32.8717230Z def call(args):
2022-11-23T01:32:32.8717305Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8717382Z     args.clear()
2022-11-23T01:32:32.8717584Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8717756Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8717830Z     del arg0_1
2022-11-23T01:32:32.8717902Z     del arg1_1
2022-11-23T01:32:32.8717979Z     return (buf0, )
2022-11-23T01:32:32.8717984Z 
2022-11-23T01:32:32.8717989Z 
2022-11-23T01:32:32.8718064Z if __name__ == "__main__":
2022-11-23T01:32:32.8718185Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8718316Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8718515Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8718710Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8718836Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8718841Z 
2022-11-23T01:32:32.8718913Z ok (0.020s)
2022-11-23T01:32:32.8719260Z   test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8719570Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8719791Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8720083Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8720362Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8720679Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8721049Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8721367Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8721745Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8721848Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8721947Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8722020Z               4 BINARY_ADD
2022-11-23T01:32:32.8722117Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8722198Z               8 RETURN_VALUE
2022-11-23T01:32:32.8722268Z  
2022-11-23T01:32:32.8722273Z 
2022-11-23T01:32:32.8722612Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8722847Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8723087Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8723359Z [2022-11-23 01:30:57,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8723604Z [2022-11-23 01:30:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8723854Z [2022-11-23 01:30:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8724237Z [2022-11-23 01:30:57,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8724492Z [2022-11-23 01:30:57,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8724732Z [2022-11-23 01:30:57,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8724992Z [2022-11-23 01:30:57,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8725247Z [2022-11-23 01:30:57,733] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8725445Z [2022-11-23 01:30:57,733] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8725586Z  __compiled_fn_911 <eval_with_key>.5596 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8725685Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8725772Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8725958Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8726059Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8726064Z 
2022-11-23T01:32:32.8726396Z [2022-11-23 01:30:57,733] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8726497Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8726594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8726689Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8726783Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8726876Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8727025Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8727109Z              12 RETURN_VALUE
2022-11-23T01:32:32.8727115Z 
2022-11-23T01:32:32.8727181Z  
2022-11-23T01:32:32.8727507Z [2022-11-23 01:30:57,734] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8727650Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_911)
2022-11-23T01:32:32.8727748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8727839Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8727924Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8728019Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8728113Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8728195Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8728290Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8728404Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8728507Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8728604Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8728686Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8728780Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8728865Z              26 RETURN_VALUE
2022-11-23T01:32:32.8728870Z 
2022-11-23T01:32:32.8728935Z  
2022-11-23T01:32:32.8729126Z [2022-11-23 01:30:57,734] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8729196Z  - 
2022-11-23T01:32:32.8729323Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8729394Z             {
2022-11-23T01:32:32.8729545Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8729738Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8729869Z                 'obj_weakref': None
2022-11-23T01:32:32.8730102Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8730174Z             }
2022-11-23T01:32:32.8730236Z             
2022-11-23T01:32:32.8730313Z  - 
2022-11-23T01:32:32.8730442Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8730512Z             {
2022-11-23T01:32:32.8730662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8730774Z                 'code': None,
2022-11-23T01:32:32.8730981Z                 'obj_weakref': <weakref at 0x7f1ffad31170; to 'Tensor' at 0x7f2068241170>
2022-11-23T01:32:32.8731229Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8731303Z             }
2022-11-23T01:32:32.8731375Z             
2022-11-23T01:32:32.8731452Z  - 
2022-11-23T01:32:32.8731579Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8731647Z             {
2022-11-23T01:32:32.8731788Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8731904Z                 'code': None,
2022-11-23T01:32:32.8732113Z                 'obj_weakref': <weakref at 0x7f20728286d0; to 'Tensor' at 0x7f2069bfe6b0>
2022-11-23T01:32:32.8732364Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8732451Z             }
2022-11-23T01:32:32.8732529Z             
2022-11-23T01:32:32.8732616Z  - 
2022-11-23T01:32:32.8732760Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8732829Z             {
2022-11-23T01:32:32.8732971Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8733148Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8733276Z                 'obj_weakref': None
2022-11-23T01:32:32.8733506Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8733575Z             }
2022-11-23T01:32:32.8733637Z             
2022-11-23T01:32:32.8733714Z  - 
2022-11-23T01:32:32.8733877Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8733948Z             {
2022-11-23T01:32:32.8734092Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8734312Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8734465Z                 'obj_weakref': None
2022-11-23T01:32:32.8734690Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8734753Z             }
2022-11-23T01:32:32.8734820Z             
2022-11-23T01:32:32.8735085Z [2022-11-23 01:30:57,738] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 893
2022-11-23T01:32:32.8735459Z [2022-11-23 01:30:59,273] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yz/cyzilu4bt6nnzzsmadtfapcr46mhuecborhnkaig22wkqttifkkn.py
2022-11-23T01:32:32.8735728Z [2022-11-23 01:30:59,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 893
2022-11-23T01:32:32.8735737Z 
2022-11-23T01:32:32.8735839Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8735914Z import torch
2022-11-23T01:32:32.8735983Z import random
2022-11-23T01:32:32.8736104Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8736234Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8736239Z 
2022-11-23T01:32:32.8736326Z aten = torch.ops.aten
2022-11-23T01:32:32.8736466Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8736564Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8736569Z 
2022-11-23T01:32:32.8736643Z import triton
2022-11-23T01:32:32.8736737Z import triton.language as tl
2022-11-23T01:32:32.8736858Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8737001Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8737006Z 
2022-11-23T01:32:32.8737011Z 
2022-11-23T01:32:32.8737150Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8737364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8737495Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8737610Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8737718Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8737785Z {
2022-11-23T01:32:32.8737883Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8737951Z     {
2022-11-23T01:32:32.8738035Z         #pragma omp for 
2022-11-23T01:32:32.8738124Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8738193Z         {
2022-11-23T01:32:32.8738287Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.8738357Z             {
2022-11-23T01:32:32.8738503Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:32:32.8738640Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:32.8738737Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8739272Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8739343Z             }
2022-11-23T01:32:32.8739442Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.8739534Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.8739600Z             {
2022-11-23T01:32:32.8739693Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.8739785Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.8739878Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8739979Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8740048Z             }
2022-11-23T01:32:32.8740117Z         }
2022-11-23T01:32:32.8740177Z     }
2022-11-23T01:32:32.8740242Z }
2022-11-23T01:32:32.8740331Z ''')
2022-11-23T01:32:32.8740336Z 
2022-11-23T01:32:32.8740341Z 
2022-11-23T01:32:32.8740435Z async_compile.wait(globals())
2022-11-23T01:32:32.8740513Z del async_compile
2022-11-23T01:32:32.8740518Z 
2022-11-23T01:32:32.8740683Z def call(args):
2022-11-23T01:32:32.8740766Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8740837Z     args.clear()
2022-11-23T01:32:32.8741052Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8741224Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8741340Z     del arg0_1
2022-11-23T01:32:32.8741412Z     del arg1_1
2022-11-23T01:32:32.8741488Z     return (buf0, )
2022-11-23T01:32:32.8741493Z 
2022-11-23T01:32:32.8741498Z 
2022-11-23T01:32:32.8741579Z if __name__ == "__main__":
2022-11-23T01:32:32.8741700Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8741823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8742021Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8742227Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8742353Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8742358Z 
2022-11-23T01:32:32.8742435Z ok (1.550s)
2022-11-23T01:32:32.8742778Z   test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8743095Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8743316Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8743566Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8743849Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8744174Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8744523Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8744855Z [2022-11-23 01:30:59,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8745237Z [2022-11-23 01:30:59,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8745335Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8745433Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8745512Z               4 BINARY_ADD
2022-11-23T01:32:32.8745608Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8745686Z               8 RETURN_VALUE
2022-11-23T01:32:32.8745752Z  
2022-11-23T01:32:32.8745757Z 
2022-11-23T01:32:32.8746074Z [2022-11-23 01:30:59,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8746290Z [2022-11-23 01:30:59,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8746534Z [2022-11-23 01:30:59,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8746810Z [2022-11-23 01:30:59,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8747056Z [2022-11-23 01:30:59,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8747304Z [2022-11-23 01:30:59,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8747712Z [2022-11-23 01:30:59,280] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8747954Z [2022-11-23 01:30:59,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8748215Z [2022-11-23 01:30:59,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8748471Z [2022-11-23 01:30:59,281] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8748722Z [2022-11-23 01:30:59,283] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8748917Z [2022-11-23 01:30:59,284] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8749061Z  __compiled_fn_912 <eval_with_key>.5602 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8749157Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8749249Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8749428Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8749527Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8749533Z 
2022-11-23T01:32:32.8749864Z [2022-11-23 01:30:59,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8749967Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8750064Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8750157Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8750382Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8750490Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8750590Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8750686Z              12 RETURN_VALUE
2022-11-23T01:32:32.8750692Z 
2022-11-23T01:32:32.8750771Z  
2022-11-23T01:32:32.8751460Z [2022-11-23 01:30:59,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8751595Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_912)
2022-11-23T01:32:32.8751693Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8751794Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8751877Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8751964Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8752058Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8752140Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8752233Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8752348Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8752457Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8752551Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8752627Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8752722Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8752803Z              26 RETURN_VALUE
2022-11-23T01:32:32.8752808Z 
2022-11-23T01:32:32.8752874Z  
2022-11-23T01:32:32.8753063Z [2022-11-23 01:30:59,285] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8753147Z  - 
2022-11-23T01:32:32.8753271Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8753334Z             {
2022-11-23T01:32:32.8753482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8753673Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8753797Z                 'obj_weakref': None
2022-11-23T01:32:32.8754021Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8754090Z             }
2022-11-23T01:32:32.8754157Z             
2022-11-23T01:32:32.8754226Z  - 
2022-11-23T01:32:32.8754354Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8754422Z             {
2022-11-23T01:32:32.8754630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8754745Z                 'code': None,
2022-11-23T01:32:32.8754957Z                 'obj_weakref': <weakref at 0x7f2151f01170; to 'Tensor' at 0x7f2023072750>
2022-11-23T01:32:32.8762594Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8762750Z             }
2022-11-23T01:32:32.8762821Z             
2022-11-23T01:32:32.8762924Z  - 
2022-11-23T01:32:32.8763063Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8763137Z             {
2022-11-23T01:32:32.8763288Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8763400Z                 'code': None,
2022-11-23T01:32:32.8763608Z                 'obj_weakref': <weakref at 0x7f202333be70; to 'Tensor' at 0x7f1fd8312bb0>
2022-11-23T01:32:32.8763860Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8763938Z             }
2022-11-23T01:32:32.8764007Z             
2022-11-23T01:32:32.8764083Z  - 
2022-11-23T01:32:32.8764221Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8764290Z             {
2022-11-23T01:32:32.8764426Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8764605Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8764731Z                 'obj_weakref': None
2022-11-23T01:32:32.8764960Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8765030Z             }
2022-11-23T01:32:32.8765098Z             
2022-11-23T01:32:32.8765175Z  - 
2022-11-23T01:32:32.8765294Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8765362Z             {
2022-11-23T01:32:32.8765503Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8765723Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8765850Z                 'obj_weakref': None
2022-11-23T01:32:32.8766078Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8766146Z             }
2022-11-23T01:32:32.8766208Z             
2022-11-23T01:32:32.8766479Z [2022-11-23 01:30:59,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 894
2022-11-23T01:32:32.8766855Z [2022-11-23 01:31:00,833] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lh/clhr7svpffvj2xgisvmuzom2rdxwgnv2qlnh32urvqvlb7ntvdaw.py
2022-11-23T01:32:32.8767125Z [2022-11-23 01:31:00,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 894
2022-11-23T01:32:32.8767131Z 
2022-11-23T01:32:32.8767232Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8767309Z import torch
2022-11-23T01:32:32.8767385Z import random
2022-11-23T01:32:32.8767507Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8767629Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8767635Z 
2022-11-23T01:32:32.8767719Z aten = torch.ops.aten
2022-11-23T01:32:32.8767860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8767958Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8767966Z 
2022-11-23T01:32:32.8768041Z import triton
2022-11-23T01:32:32.8768135Z import triton.language as tl
2022-11-23T01:32:32.8768263Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8768400Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8768413Z 
2022-11-23T01:32:32.8768418Z 
2022-11-23T01:32:32.8768550Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8768763Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8768891Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8769038Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8769146Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8769218Z {
2022-11-23T01:32:32.8769324Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8769384Z     {
2022-11-23T01:32:32.8769466Z         #pragma omp for 
2022-11-23T01:32:32.8769578Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.8769647Z         {
2022-11-23T01:32:32.8769804Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.8769935Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:32.8770029Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8770120Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.8770187Z         }
2022-11-23T01:32:32.8770290Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.8770378Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.8770447Z         {
2022-11-23T01:32:32.8770543Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8770635Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.8770718Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8770806Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.8770875Z         }
2022-11-23T01:32:32.8770947Z     }
2022-11-23T01:32:32.8771014Z }
2022-11-23T01:32:32.8771108Z ''')
2022-11-23T01:32:32.8771113Z 
2022-11-23T01:32:32.8771118Z 
2022-11-23T01:32:32.8771213Z async_compile.wait(globals())
2022-11-23T01:32:32.8771283Z del async_compile
2022-11-23T01:32:32.8771296Z 
2022-11-23T01:32:32.8771365Z def call(args):
2022-11-23T01:32:32.8771448Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8771525Z     args.clear()
2022-11-23T01:32:32.8771726Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8771899Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8771975Z     del arg0_1
2022-11-23T01:32:32.8772049Z     del arg1_1
2022-11-23T01:32:32.8772119Z     return (buf0, )
2022-11-23T01:32:32.8772127Z 
2022-11-23T01:32:32.8772131Z 
2022-11-23T01:32:32.8772216Z if __name__ == "__main__":
2022-11-23T01:32:32.8772337Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8772470Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8772704Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8772914Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8773036Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8773042Z 
2022-11-23T01:32:32.8773114Z ok (1.560s)
2022-11-23T01:32:32.8773448Z   test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8773766Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8773989Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8774246Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8774526Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8774851Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8775193Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8775513Z [2022-11-23 01:31:00,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8775921Z [2022-11-23 01:31:00,839] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8776024Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8776116Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8776223Z               4 BINARY_ADD
2022-11-23T01:32:32.8776318Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8776404Z               8 RETURN_VALUE
2022-11-23T01:32:32.8776473Z  
2022-11-23T01:32:32.8776478Z 
2022-11-23T01:32:32.8776792Z [2022-11-23 01:31:00,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8777008Z [2022-11-23 01:31:00,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8777251Z [2022-11-23 01:31:00,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8777521Z [2022-11-23 01:31:00,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8777769Z [2022-11-23 01:31:00,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8778022Z [2022-11-23 01:31:00,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8778405Z [2022-11-23 01:31:00,840] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8778654Z [2022-11-23 01:31:00,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8779413Z [2022-11-23 01:31:00,840] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8779684Z [2022-11-23 01:31:00,841] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8779940Z [2022-11-23 01:31:00,843] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8780136Z [2022-11-23 01:31:00,844] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8780275Z  __compiled_fn_913 <eval_with_key>.5608 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8780371Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8780464Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8780649Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8780753Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8780760Z 
2022-11-23T01:32:32.8781093Z [2022-11-23 01:31:00,844] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8781196Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8781295Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8781384Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8781484Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8781578Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8781675Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8781761Z              12 RETURN_VALUE
2022-11-23T01:32:32.8781766Z 
2022-11-23T01:32:32.8781833Z  
2022-11-23T01:32:32.8782161Z [2022-11-23 01:31:00,844] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8782299Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_913)
2022-11-23T01:32:32.8782399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8782519Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8782605Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8782703Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8782895Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8782979Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8783076Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8783182Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8783293Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8783424Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8783506Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8783601Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8783682Z              26 RETURN_VALUE
2022-11-23T01:32:32.8783688Z 
2022-11-23T01:32:32.8783755Z  
2022-11-23T01:32:32.8783936Z [2022-11-23 01:31:00,845] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8784013Z  - 
2022-11-23T01:32:32.8784138Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8784209Z             {
2022-11-23T01:32:32.8784354Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8784551Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8784677Z                 'obj_weakref': None
2022-11-23T01:32:32.8784896Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8784970Z             }
2022-11-23T01:32:32.8785040Z             
2022-11-23T01:32:32.8785118Z  - 
2022-11-23T01:32:32.8785250Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8785319Z             {
2022-11-23T01:32:32.8785468Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8785573Z                 'code': None,
2022-11-23T01:32:32.8785789Z                 'obj_weakref': <weakref at 0x7f1f25ec0450; to 'Tensor' at 0x7f1fd8312bb0>
2022-11-23T01:32:32.8786041Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8786114Z             }
2022-11-23T01:32:32.8786185Z             
2022-11-23T01:32:32.8786262Z  - 
2022-11-23T01:32:32.8786393Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8786455Z             {
2022-11-23T01:32:32.8786603Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8786715Z                 'code': None,
2022-11-23T01:32:32.8786927Z                 'obj_weakref': <weakref at 0x7f1fd8c83060; to 'Tensor' at 0x7f2022ee9c60>
2022-11-23T01:32:32.8787182Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8787253Z             }
2022-11-23T01:32:32.8787322Z             
2022-11-23T01:32:32.8787391Z  - 
2022-11-23T01:32:32.8787530Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8787601Z             {
2022-11-23T01:32:32.8787745Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8787920Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8788048Z                 'obj_weakref': None
2022-11-23T01:32:32.8788283Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8788346Z             }
2022-11-23T01:32:32.8788415Z             
2022-11-23T01:32:32.8788492Z  - 
2022-11-23T01:32:32.8788620Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8788690Z             {
2022-11-23T01:32:32.8788835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8789055Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8789171Z                 'obj_weakref': None
2022-11-23T01:32:32.8789399Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8789468Z             }
2022-11-23T01:32:32.8789536Z             
2022-11-23T01:32:32.8789802Z [2022-11-23 01:31:00,848] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 895
2022-11-23T01:32:32.8790204Z [2022-11-23 01:31:02,393] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ly/clylf32midhsnqtywgjaigcgwgrsgssg3wdwz5tqcxcx2zwbflhn.py
2022-11-23T01:32:32.8790600Z [2022-11-23 01:31:02,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 895
2022-11-23T01:32:32.8790607Z 
2022-11-23T01:32:32.8790725Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8790836Z import torch
2022-11-23T01:32:32.8790927Z import random
2022-11-23T01:32:32.8791068Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8791651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8791656Z 
2022-11-23T01:32:32.8791741Z aten = torch.ops.aten
2022-11-23T01:32:32.8791883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8791982Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8791987Z 
2022-11-23T01:32:32.8792061Z import triton
2022-11-23T01:32:32.8792148Z import triton.language as tl
2022-11-23T01:32:32.8792276Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8792423Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8792428Z 
2022-11-23T01:32:32.8792433Z 
2022-11-23T01:32:32.8792577Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8792791Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8792925Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8793040Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8793147Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8793207Z {
2022-11-23T01:32:32.8793312Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8793380Z     {
2022-11-23T01:32:32.8793463Z         #pragma omp for 
2022-11-23T01:32:32.8793553Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8793622Z         {
2022-11-23T01:32:32.8793706Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.8793774Z             {
2022-11-23T01:32:32.8793926Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:32:32.8794081Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8794175Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8794290Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8794363Z             }
2022-11-23T01:32:32.8794463Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.8794547Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.8794617Z             {
2022-11-23T01:32:32.8794709Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.8794816Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.8794910Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8795011Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8795080Z             }
2022-11-23T01:32:32.8795141Z         }
2022-11-23T01:32:32.8795212Z     }
2022-11-23T01:32:32.8795282Z }
2022-11-23T01:32:32.8795372Z ''')
2022-11-23T01:32:32.8795378Z 
2022-11-23T01:32:32.8795382Z 
2022-11-23T01:32:32.8795478Z async_compile.wait(globals())
2022-11-23T01:32:32.8795557Z del async_compile
2022-11-23T01:32:32.8795562Z 
2022-11-23T01:32:32.8795639Z def call(args):
2022-11-23T01:32:32.8795716Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8795792Z     args.clear()
2022-11-23T01:32:32.8795995Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8796167Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8796243Z     del arg0_1
2022-11-23T01:32:32.8796317Z     del arg1_1
2022-11-23T01:32:32.8796394Z     return (buf0, )
2022-11-23T01:32:32.8796399Z 
2022-11-23T01:32:32.8796403Z 
2022-11-23T01:32:32.8796486Z if __name__ == "__main__":
2022-11-23T01:32:32.8796601Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8796767Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8796968Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8797175Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8797300Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8797336Z 
2022-11-23T01:32:32.8797410Z ok (1.560s)
2022-11-23T01:32:32.8797755Z   test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8798072Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8798288Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8798546Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8798834Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8799152Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8799501Z [2022-11-23 01:31:02,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8799822Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8800199Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8800299Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8800403Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8800476Z               4 BINARY_ADD
2022-11-23T01:32:32.8800572Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8800655Z               8 RETURN_VALUE
2022-11-23T01:32:32.8800724Z  
2022-11-23T01:32:32.8800733Z 
2022-11-23T01:32:32.8801049Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8801265Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8801508Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8801786Z [2022-11-23 01:31:02,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8802034Z [2022-11-23 01:31:02,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8802280Z [2022-11-23 01:31:02,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8802669Z [2022-11-23 01:31:02,400] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8802948Z [2022-11-23 01:31:02,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8803212Z [2022-11-23 01:31:02,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8803471Z [2022-11-23 01:31:02,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8803727Z [2022-11-23 01:31:02,404] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8803924Z [2022-11-23 01:31:02,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8804104Z  __compiled_fn_914 <eval_with_key>.5614 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8804203Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8804290Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8804476Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8804605Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8804610Z 
2022-11-23T01:32:32.8804943Z [2022-11-23 01:31:02,404] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8805048Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8805147Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8805243Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8805347Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8805433Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8805533Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8805618Z              12 RETURN_VALUE
2022-11-23T01:32:32.8805623Z 
2022-11-23T01:32:32.8805690Z  
2022-11-23T01:32:32.8806017Z [2022-11-23 01:31:02,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8806140Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_914)
2022-11-23T01:32:32.8806238Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8806330Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8806414Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8806510Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8806605Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8806686Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8806782Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8806896Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8807010Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8807099Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8807185Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8807279Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8807364Z              26 RETURN_VALUE
2022-11-23T01:32:32.8807369Z 
2022-11-23T01:32:32.8807435Z  
2022-11-23T01:32:32.8807624Z [2022-11-23 01:31:02,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8807701Z  - 
2022-11-23T01:32:32.8807820Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8807891Z             {
2022-11-23T01:32:32.8808038Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8808234Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8808359Z                 'obj_weakref': None
2022-11-23T01:32:32.8808588Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8808664Z             }
2022-11-23T01:32:32.8808726Z             
2022-11-23T01:32:32.8808803Z  - 
2022-11-23T01:32:32.8808938Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8809008Z             {
2022-11-23T01:32:32.8809159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8809276Z                 'code': None,
2022-11-23T01:32:32.8809493Z                 'obj_weakref': <weakref at 0x7f1fd9bccbd0; to 'Tensor' at 0x7f207277eac0>
2022-11-23T01:32:32.8809741Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8809812Z             }
2022-11-23T01:32:32.8809881Z             
2022-11-23T01:32:32.8809957Z  - 
2022-11-23T01:32:32.8810088Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8810157Z             {
2022-11-23T01:32:32.8810308Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8810414Z                 'code': None,
2022-11-23T01:32:32.8810691Z                 'obj_weakref': <weakref at 0x7f1ff81510d0; to 'Tensor' at 0x7f2072698040>
2022-11-23T01:32:32.8810952Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8811022Z             }
2022-11-23T01:32:32.8811112Z             
2022-11-23T01:32:32.8811189Z  - 
2022-11-23T01:32:32.8811327Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8811388Z             {
2022-11-23T01:32:32.8811530Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8811709Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8811834Z                 'obj_weakref': None
2022-11-23T01:32:32.8812071Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8812144Z             }
2022-11-23T01:32:32.8812213Z             
2022-11-23T01:32:32.8812282Z  - 
2022-11-23T01:32:32.8812410Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8812483Z             {
2022-11-23T01:32:32.8812625Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8812848Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8812997Z                 'obj_weakref': None
2022-11-23T01:32:32.8813253Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8813315Z             }
2022-11-23T01:32:32.8813385Z             
2022-11-23T01:32:32.8813654Z [2022-11-23 01:31:02,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 896
2022-11-23T01:32:32.8814026Z [2022-11-23 01:31:03,945] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7r/c7rordubsmedg6ebc2aa4dnstvnpk4xgpmtnfqfqy6qstfwo7cqp.py
2022-11-23T01:32:32.8814300Z [2022-11-23 01:31:03,945] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 896
2022-11-23T01:32:32.8814305Z 
2022-11-23T01:32:32.8814410Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8814484Z import torch
2022-11-23T01:32:32.8814561Z import random
2022-11-23T01:32:32.8814678Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8814807Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8814816Z 
2022-11-23T01:32:32.8814900Z aten = torch.ops.aten
2022-11-23T01:32:32.8815043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8815142Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8815147Z 
2022-11-23T01:32:32.8815227Z import triton
2022-11-23T01:32:32.8815320Z import triton.language as tl
2022-11-23T01:32:32.8815443Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8815588Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8815594Z 
2022-11-23T01:32:32.8815599Z 
2022-11-23T01:32:32.8815741Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8815954Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8816083Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8816198Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.8816308Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.8816379Z {
2022-11-23T01:32:32.8816475Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8816543Z     {
2022-11-23T01:32:32.8816641Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.8816730Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8816799Z         {
2022-11-23T01:32:32.8816892Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.8816960Z             {
2022-11-23T01:32:32.8817023Z                 {
2022-11-23T01:32:32.8817097Z                     {
2022-11-23T01:32:32.8817202Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.8817313Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.8817466Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.8817570Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.8817674Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.8817740Z                     }
2022-11-23T01:32:32.8817838Z                 }
2022-11-23T01:32:32.8817908Z             }
2022-11-23T01:32:32.8817976Z         }
2022-11-23T01:32:32.8818043Z     }
2022-11-23T01:32:32.8818108Z }
2022-11-23T01:32:32.8818188Z ''')
2022-11-23T01:32:32.8818201Z 
2022-11-23T01:32:32.8818205Z 
2022-11-23T01:32:32.8818295Z async_compile.wait(globals())
2022-11-23T01:32:32.8818372Z del async_compile
2022-11-23T01:32:32.8818377Z 
2022-11-23T01:32:32.8818452Z def call(args):
2022-11-23T01:32:32.8818533Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8818611Z     args.clear()
2022-11-23T01:32:32.8819246Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.8819426Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8819493Z     del arg0_1
2022-11-23T01:32:32.8819567Z     del arg1_1
2022-11-23T01:32:32.8819643Z     return (buf0, )
2022-11-23T01:32:32.8819648Z 
2022-11-23T01:32:32.8819653Z 
2022-11-23T01:32:32.8819738Z if __name__ == "__main__":
2022-11-23T01:32:32.8819860Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8819989Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8820190Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8820394Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.8820510Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8820515Z 
2022-11-23T01:32:32.8820589Z ok (1.555s)
2022-11-23T01:32:32.8820928Z   test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8821244Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8821465Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8821723Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8822002Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8822325Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8822674Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8822996Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8823369Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8823473Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8823571Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8823652Z               4 BINARY_ADD
2022-11-23T01:32:32.8823749Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8823832Z               8 RETURN_VALUE
2022-11-23T01:32:32.8823898Z  
2022-11-23T01:32:32.8823904Z 
2022-11-23T01:32:32.8824220Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8824521Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8824766Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8825042Z [2022-11-23 01:31:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8825315Z [2022-11-23 01:31:03,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8825563Z [2022-11-23 01:31:03,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8825941Z [2022-11-23 01:31:03,956] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8826191Z [2022-11-23 01:31:03,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8826430Z [2022-11-23 01:31:03,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8826688Z [2022-11-23 01:31:03,957] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8826946Z [2022-11-23 01:31:03,959] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8827139Z [2022-11-23 01:31:03,959] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8827284Z  __compiled_fn_915 <eval_with_key>.5620 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8827382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8827477Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8827662Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8827763Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8827768Z 
2022-11-23T01:32:32.8828105Z [2022-11-23 01:31:03,960] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8828208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8828300Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8828394Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8828498Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8828592Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8828687Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8828770Z              12 RETURN_VALUE
2022-11-23T01:32:32.8828775Z 
2022-11-23T01:32:32.8828843Z  
2022-11-23T01:32:32.8829161Z [2022-11-23 01:31:03,960] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8829281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_915)
2022-11-23T01:32:32.8829380Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8829480Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8829563Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8829659Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8829754Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8829838Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8829928Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8830042Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8830155Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8830382Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8830483Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8830592Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8830687Z              26 RETURN_VALUE
2022-11-23T01:32:32.8830693Z 
2022-11-23T01:32:32.8830764Z  
2022-11-23T01:32:32.8830979Z [2022-11-23 01:31:03,960] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8831072Z  - 
2022-11-23T01:32:32.8831638Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8831710Z             {
2022-11-23T01:32:32.8831858Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8832052Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8832197Z                 'obj_weakref': None
2022-11-23T01:32:32.8832424Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8832495Z             }
2022-11-23T01:32:32.8832564Z             
2022-11-23T01:32:32.8832645Z  - 
2022-11-23T01:32:32.8832801Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8832880Z             {
2022-11-23T01:32:32.8833038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8833152Z                 'code': None,
2022-11-23T01:32:32.8833369Z                 'obj_weakref': <weakref at 0x7f20682fcb30; to 'Tensor' at 0x7f201e34d030>
2022-11-23T01:32:32.8833623Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8833692Z             }
2022-11-23T01:32:32.8833760Z             
2022-11-23T01:32:32.8833837Z  - 
2022-11-23T01:32:32.8833958Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8834030Z             {
2022-11-23T01:32:32.8834178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8834291Z                 'code': None,
2022-11-23T01:32:32.8834507Z                 'obj_weakref': <weakref at 0x7f1ffad2f880; to 'Tensor' at 0x7f207277eac0>
2022-11-23T01:32:32.8834765Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8834835Z             }
2022-11-23T01:32:32.8834896Z             
2022-11-23T01:32:32.8834974Z  - 
2022-11-23T01:32:32.8835111Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8835180Z             {
2022-11-23T01:32:32.8835320Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8835500Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8835625Z                 'obj_weakref': None
2022-11-23T01:32:32.8835849Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8835922Z             }
2022-11-23T01:32:32.8835996Z             
2022-11-23T01:32:32.8836072Z  - 
2022-11-23T01:32:32.8836200Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8836269Z             {
2022-11-23T01:32:32.8836412Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8836626Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8836750Z                 'obj_weakref': None
2022-11-23T01:32:32.8836973Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8837043Z             }
2022-11-23T01:32:32.8837112Z             
2022-11-23T01:32:32.8837382Z [2022-11-23 01:31:03,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 897
2022-11-23T01:32:32.8837748Z [2022-11-23 01:31:05,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gm/cgmnyxmvt3t55d2x3ueqf2tnf7ak5dhsm3x76xqzxxecs6s6wi7n.py
2022-11-23T01:32:32.8838026Z [2022-11-23 01:31:05,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 897
2022-11-23T01:32:32.8838032Z 
2022-11-23T01:32:32.8838126Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8838203Z import torch
2022-11-23T01:32:32.8838278Z import random
2022-11-23T01:32:32.8838403Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8838530Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8838535Z 
2022-11-23T01:32:32.8838622Z aten = torch.ops.aten
2022-11-23T01:32:32.8838763Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8838853Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8838897Z 
2022-11-23T01:32:32.8838967Z import triton
2022-11-23T01:32:32.8839060Z import triton.language as tl
2022-11-23T01:32:32.8839188Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8839331Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8839385Z 
2022-11-23T01:32:32.8839390Z 
2022-11-23T01:32:32.8839530Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8839743Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8839871Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8839974Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.8840082Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8840149Z {
2022-11-23T01:32:32.8840253Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8840319Z     {
2022-11-23T01:32:32.8840402Z         #pragma omp for 
2022-11-23T01:32:32.8840494Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8840556Z         {
2022-11-23T01:32:32.8840624Z             {
2022-11-23T01:32:32.8840694Z                 {
2022-11-23T01:32:32.8840793Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8840894Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.8841010Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:32.8841110Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.8841195Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.8841266Z                 }
2022-11-23T01:32:32.8841341Z             }
2022-11-23T01:32:32.8841410Z         }
2022-11-23T01:32:32.8841476Z     }
2022-11-23T01:32:32.8841544Z }
2022-11-23T01:32:32.8841623Z ''')
2022-11-23T01:32:32.8841635Z 
2022-11-23T01:32:32.8841640Z 
2022-11-23T01:32:32.8841727Z async_compile.wait(globals())
2022-11-23T01:32:32.8841806Z del async_compile
2022-11-23T01:32:32.8841811Z 
2022-11-23T01:32:32.8841888Z def call(args):
2022-11-23T01:32:32.8841971Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8842048Z     args.clear()
2022-11-23T01:32:32.8842245Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8842416Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8842489Z     del arg0_1
2022-11-23T01:32:32.8842567Z     del arg1_1
2022-11-23T01:32:32.8842645Z     return (buf0, )
2022-11-23T01:32:32.8842650Z 
2022-11-23T01:32:32.8842654Z 
2022-11-23T01:32:32.8842737Z if __name__ == "__main__":
2022-11-23T01:32:32.8842867Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8843013Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8843235Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8843434Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.8843551Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8843557Z 
2022-11-23T01:32:32.8843629Z ok (1.595s)
2022-11-23T01:32:32.8843972Z   test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:05,549] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8844295Z [2022-11-23 01:31:05,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8844516Z [2022-11-23 01:31:05,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8844772Z [2022-11-23 01:31:05,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8845049Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8845404Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8845751Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8846070Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8846482Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8846581Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8846683Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8846762Z               4 BINARY_ADD
2022-11-23T01:32:32.8846858Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8846940Z               8 RETURN_VALUE
2022-11-23T01:32:32.8847007Z  
2022-11-23T01:32:32.8847015Z 
2022-11-23T01:32:32.8847329Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8847539Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8847782Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8848061Z [2022-11-23 01:31:05,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8848309Z [2022-11-23 01:31:05,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8848561Z [2022-11-23 01:31:05,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8848948Z [2022-11-23 01:31:05,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8849199Z [2022-11-23 01:31:05,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8849439Z [2022-11-23 01:31:05,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8849702Z [2022-11-23 01:31:05,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8849956Z [2022-11-23 01:31:05,555] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8850144Z [2022-11-23 01:31:05,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8850286Z  __compiled_fn_916 <eval_with_key>.5626 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8850384Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8850477Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8850663Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8850763Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8850769Z 
2022-11-23T01:32:32.8851101Z [2022-11-23 01:31:05,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8851206Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8851297Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8851391Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8851490Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8851583Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8851678Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8851763Z              12 RETURN_VALUE
2022-11-23T01:32:32.8851768Z 
2022-11-23T01:32:32.8851834Z  
2022-11-23T01:32:32.8852181Z [2022-11-23 01:31:05,556] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8852303Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_916)
2022-11-23T01:32:32.8852400Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8852498Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8852604Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8852703Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8852799Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8852873Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8852970Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8853084Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8853195Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8853293Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8853375Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8853473Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8853560Z              26 RETURN_VALUE
2022-11-23T01:32:32.8853565Z 
2022-11-23T01:32:32.8853624Z  
2022-11-23T01:32:32.8853813Z [2022-11-23 01:31:05,556] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8853893Z  - 
2022-11-23T01:32:32.8854018Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8854092Z             {
2022-11-23T01:32:32.8854236Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8854427Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8854543Z                 'obj_weakref': None
2022-11-23T01:32:32.8854766Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8854836Z             }
2022-11-23T01:32:32.8854905Z             
2022-11-23T01:32:32.8854980Z  - 
2022-11-23T01:32:32.8855111Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8855182Z             {
2022-11-23T01:32:32.8855325Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8855437Z                 'code': None,
2022-11-23T01:32:32.8855652Z                 'obj_weakref': <weakref at 0x7f1f25ec1940; to 'Tensor' at 0x7f20682fda30>
2022-11-23T01:32:32.8855900Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8855973Z             }
2022-11-23T01:32:32.8856041Z             
2022-11-23T01:32:32.8856117Z  - 
2022-11-23T01:32:32.8856238Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8856306Z             {
2022-11-23T01:32:32.8856455Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8856571Z                 'code': None,
2022-11-23T01:32:32.8856784Z                 'obj_weakref': <weakref at 0x7f2022eafba0; to 'Tensor' at 0x7f2072698040>
2022-11-23T01:32:32.8857039Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8857110Z             }
2022-11-23T01:32:32.8857174Z             
2022-11-23T01:32:32.8857250Z  - 
2022-11-23T01:32:32.8857387Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8857456Z             {
2022-11-23T01:32:32.8857597Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8857773Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8857900Z                 'obj_weakref': None
2022-11-23T01:32:32.8858125Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8858196Z             }
2022-11-23T01:32:32.8858266Z             
2022-11-23T01:32:32.8858342Z  - 
2022-11-23T01:32:32.8858471Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8858541Z             {
2022-11-23T01:32:32.8858687Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8859044Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8859269Z                 'obj_weakref': None
2022-11-23T01:32:32.8859499Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8859570Z             }
2022-11-23T01:32:32.8859639Z             
2022-11-23T01:32:32.8859908Z [2022-11-23 01:31:05,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 898
2022-11-23T01:32:32.8860324Z [2022-11-23 01:31:07,096] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mm/cmmf4iellamcppzzgwzbrpq6ooyajdle4s3pnyo3fnmdlgi7vxyc.py
2022-11-23T01:32:32.8860594Z [2022-11-23 01:31:07,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 898
2022-11-23T01:32:32.8860600Z 
2022-11-23T01:32:32.8860693Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8860768Z import torch
2022-11-23T01:32:32.8860844Z import random
2022-11-23T01:32:32.8860964Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8861095Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8861100Z 
2022-11-23T01:32:32.8861184Z aten = torch.ops.aten
2022-11-23T01:32:32.8861324Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8861415Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8861427Z 
2022-11-23T01:32:32.8861498Z import triton
2022-11-23T01:32:32.8861590Z import triton.language as tl
2022-11-23T01:32:32.8861719Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8861862Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8861868Z 
2022-11-23T01:32:32.8861873Z 
2022-11-23T01:32:32.8862011Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8862224Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8862352Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8862459Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8862568Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8862635Z {
2022-11-23T01:32:32.8862739Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8862808Z     {
2022-11-23T01:32:32.8862903Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.8862991Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8863056Z         {
2022-11-23T01:32:32.8863148Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.8863217Z             {
2022-11-23T01:32:32.8863288Z                 {
2022-11-23T01:32:32.8863359Z                     {
2022-11-23T01:32:32.8863463Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.8863576Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.8863670Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8863775Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8863847Z                     }
2022-11-23T01:32:32.8863917Z                 }
2022-11-23T01:32:32.8863988Z             }
2022-11-23T01:32:32.8864058Z         }
2022-11-23T01:32:32.8864125Z     }
2022-11-23T01:32:32.8864183Z }
2022-11-23T01:32:32.8864271Z ''')
2022-11-23T01:32:32.8864276Z 
2022-11-23T01:32:32.8864281Z 
2022-11-23T01:32:32.8864375Z async_compile.wait(globals())
2022-11-23T01:32:32.8864456Z del async_compile
2022-11-23T01:32:32.8864461Z 
2022-11-23T01:32:32.8864536Z def call(args):
2022-11-23T01:32:32.8864617Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8864694Z     args.clear()
2022-11-23T01:32:32.8864890Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8865062Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8865135Z     del arg0_1
2022-11-23T01:32:32.8865208Z     del arg1_1
2022-11-23T01:32:32.8865285Z     return (buf0, )
2022-11-23T01:32:32.8865290Z 
2022-11-23T01:32:32.8865294Z 
2022-11-23T01:32:32.8865379Z if __name__ == "__main__":
2022-11-23T01:32:32.8865532Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8865665Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8865859Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8866062Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8866210Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8866216Z 
2022-11-23T01:32:32.8866288Z ok (1.552s)
2022-11-23T01:32:32.8866637Z   test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:07,101] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8866955Z [2022-11-23 01:31:07,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8867178Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8867439Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8867721Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8868034Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8868378Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8868700Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8869082Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8869184Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8869285Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8869365Z               4 BINARY_ADD
2022-11-23T01:32:32.8869463Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8869547Z               8 RETURN_VALUE
2022-11-23T01:32:32.8869606Z  
2022-11-23T01:32:32.8869611Z 
2022-11-23T01:32:32.8869926Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8870141Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8870479Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8870757Z [2022-11-23 01:31:07,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8871009Z [2022-11-23 01:31:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8871262Z [2022-11-23 01:31:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8871651Z [2022-11-23 01:31:07,104] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8871905Z [2022-11-23 01:31:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8872136Z [2022-11-23 01:31:07,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8872396Z [2022-11-23 01:31:07,105] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8872648Z [2022-11-23 01:31:07,107] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8872876Z [2022-11-23 01:31:07,107] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8873022Z  __compiled_fn_917 <eval_with_key>.5632 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8873119Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8873245Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8873431Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8873524Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8873530Z 
2022-11-23T01:32:32.8873854Z [2022-11-23 01:31:07,108] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8873955Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8874053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8874148Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8874250Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8874346Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8874444Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8874520Z              12 RETURN_VALUE
2022-11-23T01:32:32.8874525Z 
2022-11-23T01:32:32.8874592Z  
2022-11-23T01:32:32.8874913Z [2022-11-23 01:31:07,108] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8875032Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_917)
2022-11-23T01:32:32.8875131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8875229Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8875312Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8875400Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8875495Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8875577Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8875675Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8875789Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8875902Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8875998Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8876082Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8876169Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8876250Z              26 RETURN_VALUE
2022-11-23T01:32:32.8876255Z 
2022-11-23T01:32:32.8876321Z  
2022-11-23T01:32:32.8876508Z [2022-11-23 01:31:07,108] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8876584Z  - 
2022-11-23T01:32:32.8876708Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8876778Z             {
2022-11-23T01:32:32.8876916Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8877109Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8877233Z                 'obj_weakref': None
2022-11-23T01:32:32.8877460Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8877532Z             }
2022-11-23T01:32:32.8877601Z             
2022-11-23T01:32:32.8877678Z  - 
2022-11-23T01:32:32.8877799Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8877870Z             {
2022-11-23T01:32:32.8878017Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8878130Z                 'code': None,
2022-11-23T01:32:32.8878342Z                 'obj_weakref': <weakref at 0x7f1ffad48450; to 'Tensor' at 0x7f2068206cf0>
2022-11-23T01:32:32.8878599Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8878669Z             }
2022-11-23T01:32:32.8878731Z             
2022-11-23T01:32:32.8878807Z  - 
2022-11-23T01:32:32.8878934Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8879003Z             {
2022-11-23T01:32:32.8879189Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8879301Z                 'code': None,
2022-11-23T01:32:32.8879515Z                 'obj_weakref': <weakref at 0x7f201e238e50; to 'Tensor' at 0x7f2072698040>
2022-11-23T01:32:32.8879758Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8879852Z             }
2022-11-23T01:32:32.8879920Z             
2022-11-23T01:32:32.8879997Z  - 
2022-11-23T01:32:32.8880134Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8880202Z             {
2022-11-23T01:32:32.8880344Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8880513Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8880641Z                 'obj_weakref': None
2022-11-23T01:32:32.8880876Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8880946Z             }
2022-11-23T01:32:32.8881017Z             
2022-11-23T01:32:32.8881096Z  - 
2022-11-23T01:32:32.8881224Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8881286Z             {
2022-11-23T01:32:32.8881428Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8881652Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8881781Z                 'obj_weakref': None
2022-11-23T01:32:32.8882009Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8882077Z             }
2022-11-23T01:32:32.8882146Z             
2022-11-23T01:32:32.8882440Z [2022-11-23 01:31:07,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 899
2022-11-23T01:32:32.8882826Z [2022-11-23 01:31:08,651] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wf/cwfklgmnqzxik7727spafa5j7omk67aydu2onhagk3zo7losccth.py
2022-11-23T01:32:32.8883100Z [2022-11-23 01:31:08,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 899
2022-11-23T01:32:32.8883106Z 
2022-11-23T01:32:32.8883205Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8883280Z import torch
2022-11-23T01:32:32.8883355Z import random
2022-11-23T01:32:32.8883481Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8883612Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8883617Z 
2022-11-23T01:32:32.8883693Z aten = torch.ops.aten
2022-11-23T01:32:32.8883835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8883934Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8883939Z 
2022-11-23T01:32:32.8884014Z import triton
2022-11-23T01:32:32.8884106Z import triton.language as tl
2022-11-23T01:32:32.8884236Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8884381Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8884386Z 
2022-11-23T01:32:32.8884391Z 
2022-11-23T01:32:32.8884533Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8884739Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8884868Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8884984Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8885093Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8885160Z {
2022-11-23T01:32:32.8885265Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8885333Z     {
2022-11-23T01:32:32.8885409Z         #pragma omp for 
2022-11-23T01:32:32.8885499Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8885568Z         {
2022-11-23T01:32:32.8885659Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.8885727Z             {
2022-11-23T01:32:32.8885883Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:32.8886065Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8886163Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8886269Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8886339Z             }
2022-11-23T01:32:32.8886437Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.8886552Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.8886623Z             {
2022-11-23T01:32:32.8886714Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8886811Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.8886904Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8887004Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8887073Z             }
2022-11-23T01:32:32.8887144Z         }
2022-11-23T01:32:32.8887213Z     }
2022-11-23T01:32:32.8887280Z }
2022-11-23T01:32:32.8887361Z ''')
2022-11-23T01:32:32.8887367Z 
2022-11-23T01:32:32.8887379Z 
2022-11-23T01:32:32.8887467Z async_compile.wait(globals())
2022-11-23T01:32:32.8887549Z del async_compile
2022-11-23T01:32:32.8887554Z 
2022-11-23T01:32:32.8887630Z def call(args):
2022-11-23T01:32:32.8887710Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8887787Z     args.clear()
2022-11-23T01:32:32.8887995Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8888171Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8888238Z     del arg0_1
2022-11-23T01:32:32.8888310Z     del arg1_1
2022-11-23T01:32:32.8888387Z     return (buf0, )
2022-11-23T01:32:32.8888393Z 
2022-11-23T01:32:32.8888397Z 
2022-11-23T01:32:32.8888479Z if __name__ == "__main__":
2022-11-23T01:32:32.8888599Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8888732Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8888929Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8889130Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8889261Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8889267Z 
2022-11-23T01:32:32.8889339Z ok (1.555s)
2022-11-23T01:32:32.8889689Z   test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8890012Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8890233Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8890487Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8890765Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8891084Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8891433Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8891753Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8892139Z [2022-11-23 01:31:08,656] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8892239Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8892338Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8892419Z               4 BINARY_ADD
2022-11-23T01:32:32.8892545Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8892631Z               8 RETURN_VALUE
2022-11-23T01:32:32.8892698Z  
2022-11-23T01:32:32.8892703Z 
2022-11-23T01:32:32.8893017Z [2022-11-23 01:31:08,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8893259Z [2022-11-23 01:31:08,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8893504Z [2022-11-23 01:31:08,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8893779Z [2022-11-23 01:31:08,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8894031Z [2022-11-23 01:31:08,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8894282Z [2022-11-23 01:31:08,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8894672Z [2022-11-23 01:31:08,658] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8894926Z [2022-11-23 01:31:08,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8895169Z [2022-11-23 01:31:08,658] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8895431Z [2022-11-23 01:31:08,659] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8895679Z [2022-11-23 01:31:08,661] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8895877Z [2022-11-23 01:31:08,661] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8896021Z  __compiled_fn_918 <eval_with_key>.5638 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8896119Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8896215Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8896400Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8896502Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8896507Z 
2022-11-23T01:32:32.8896844Z [2022-11-23 01:31:08,662] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8896939Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8897038Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8897134Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8897236Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8897331Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8897428Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8897512Z              12 RETURN_VALUE
2022-11-23T01:32:32.8897517Z 
2022-11-23T01:32:32.8897583Z  
2022-11-23T01:32:32.8897904Z [2022-11-23 01:31:08,662] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8898024Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_918)
2022-11-23T01:32:32.8898128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8898228Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8898311Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8898407Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8898503Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8898578Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8898673Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8899029Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8899144Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8899243Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8899388Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8899487Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8899561Z              26 RETURN_VALUE
2022-11-23T01:32:32.8899574Z 
2022-11-23T01:32:32.8899634Z  
2022-11-23T01:32:32.8899828Z [2022-11-23 01:31:08,662] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8899942Z  - 
2022-11-23T01:32:32.8900069Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8900140Z             {
2022-11-23T01:32:32.8900289Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8900477Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8900604Z                 'obj_weakref': None
2022-11-23T01:32:32.8900836Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8900907Z             }
2022-11-23T01:32:32.8900976Z             
2022-11-23T01:32:32.8901054Z  - 
2022-11-23T01:32:32.8901189Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8901252Z             {
2022-11-23T01:32:32.8901404Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8901519Z                 'code': None,
2022-11-23T01:32:32.8901740Z                 'obj_weakref': <weakref at 0x7f1f25eeaa70; to 'Tensor' at 0x7f20682fda30>
2022-11-23T01:32:32.8902001Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8902072Z             }
2022-11-23T01:32:32.8902142Z             
2022-11-23T01:32:32.8902212Z  - 
2022-11-23T01:32:32.8902342Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8902412Z             {
2022-11-23T01:32:32.8902562Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8902676Z                 'code': None,
2022-11-23T01:32:32.8902911Z                 'obj_weakref': <weakref at 0x7f1f25eebab0; to 'Tensor' at 0x7f2068206cf0>
2022-11-23T01:32:32.8903201Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8903270Z             }
2022-11-23T01:32:32.8903333Z             
2022-11-23T01:32:32.8903410Z  - 
2022-11-23T01:32:32.8903548Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8903620Z             {
2022-11-23T01:32:32.8903762Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8903939Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8904058Z                 'obj_weakref': None
2022-11-23T01:32:32.8904290Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8904360Z             }
2022-11-23T01:32:32.8904429Z             
2022-11-23T01:32:32.8904508Z  - 
2022-11-23T01:32:32.8904636Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8904707Z             {
2022-11-23T01:32:32.8904842Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8905070Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8905196Z                 'obj_weakref': None
2022-11-23T01:32:32.8905420Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8905493Z             }
2022-11-23T01:32:32.8905561Z             
2022-11-23T01:32:32.8905828Z [2022-11-23 01:31:08,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 900
2022-11-23T01:32:32.8906199Z [2022-11-23 01:31:10,219] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xl/cxlmoogts5prf56zovc6qlroko5ih3vmzwtsoq2bfad64yvwma5g.py
2022-11-23T01:32:32.8906463Z [2022-11-23 01:31:10,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 900
2022-11-23T01:32:32.8906476Z 
2022-11-23T01:32:32.8906569Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8906645Z import torch
2022-11-23T01:32:32.8906722Z import random
2022-11-23T01:32:32.8906893Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8907023Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8907028Z 
2022-11-23T01:32:32.8907113Z aten = torch.ops.aten
2022-11-23T01:32:32.8907255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8907368Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8907373Z 
2022-11-23T01:32:32.8907450Z import triton
2022-11-23T01:32:32.8907545Z import triton.language as tl
2022-11-23T01:32:32.8907673Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8907817Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8907823Z 
2022-11-23T01:32:32.8907827Z 
2022-11-23T01:32:32.8907968Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8908183Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8908310Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8908418Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8908527Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8908596Z {
2022-11-23T01:32:32.8908700Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8908770Z     {
2022-11-23T01:32:32.8908855Z         #pragma omp for 
2022-11-23T01:32:32.8908944Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8909007Z         {
2022-11-23T01:32:32.8909097Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.8909166Z             {
2022-11-23T01:32:32.8909308Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:32.8909455Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:32.8909550Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8909664Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8909726Z             }
2022-11-23T01:32:32.8909829Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.8909922Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.8909989Z             {
2022-11-23T01:32:32.8910083Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8910176Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.8910343Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8910449Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8910532Z             }
2022-11-23T01:32:32.8910614Z         }
2022-11-23T01:32:32.8910695Z     }
2022-11-23T01:32:32.8910773Z }
2022-11-23T01:32:32.8910875Z ''')
2022-11-23T01:32:32.8910881Z 
2022-11-23T01:32:32.8910886Z 
2022-11-23T01:32:32.8910985Z async_compile.wait(globals())
2022-11-23T01:32:32.8911057Z del async_compile
2022-11-23T01:32:32.8911062Z 
2022-11-23T01:32:32.8911140Z def call(args):
2022-11-23T01:32:32.8911222Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8911299Z     args.clear()
2022-11-23T01:32:32.8911520Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8911696Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8911772Z     del arg0_1
2022-11-23T01:32:32.8911837Z     del arg1_1
2022-11-23T01:32:32.8911918Z     return (buf0, )
2022-11-23T01:32:32.8911923Z 
2022-11-23T01:32:32.8911928Z 
2022-11-23T01:32:32.8912010Z if __name__ == "__main__":
2022-11-23T01:32:32.8912133Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8912265Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8912477Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8912673Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8912799Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8912804Z 
2022-11-23T01:32:32.8912869Z ok (1.567s)
2022-11-23T01:32:32.8913248Z   test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:10,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8913573Z [2022-11-23 01:31:10,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8913817Z [2022-11-23 01:31:10,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8914076Z [2022-11-23 01:31:10,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8914358Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8914680Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8915025Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8915350Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8915740Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8915840Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8915932Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8916011Z               4 BINARY_ADD
2022-11-23T01:32:32.8916110Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8916195Z               8 RETURN_VALUE
2022-11-23T01:32:32.8916262Z  
2022-11-23T01:32:32.8916268Z 
2022-11-23T01:32:32.8916588Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8916805Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8917040Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8917321Z [2022-11-23 01:31:10,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8917569Z [2022-11-23 01:31:10,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8917815Z [2022-11-23 01:31:10,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8918196Z [2022-11-23 01:31:10,226] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8918451Z [2022-11-23 01:31:10,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8918695Z [2022-11-23 01:31:10,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8918959Z [2022-11-23 01:31:10,227] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8919219Z [2022-11-23 01:31:10,229] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8919415Z [2022-11-23 01:31:10,229] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8919551Z  __compiled_fn_919 <eval_with_key>.5644 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8919647Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8919741Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8919923Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8920024Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8920030Z 
2022-11-23T01:32:32.8920396Z [2022-11-23 01:31:10,229] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8920500Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8920598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8920706Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8920807Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8920900Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8920998Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8921080Z              12 RETURN_VALUE
2022-11-23T01:32:32.8921085Z 
2022-11-23T01:32:32.8921152Z  
2022-11-23T01:32:32.8921479Z [2022-11-23 01:31:10,229] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8921591Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_919)
2022-11-23T01:32:32.8921692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8921792Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8921876Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8921971Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8922070Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8922151Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8922246Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8922353Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8922465Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8922564Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8922646Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8922741Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8922822Z              26 RETURN_VALUE
2022-11-23T01:32:32.8922828Z 
2022-11-23T01:32:32.8922894Z  
2022-11-23T01:32:32.8923078Z [2022-11-23 01:31:10,230] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8923159Z  - 
2022-11-23T01:32:32.8923284Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8923354Z             {
2022-11-23T01:32:32.8923501Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8923698Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8923826Z                 'obj_weakref': None
2022-11-23T01:32:32.8924047Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8924117Z             }
2022-11-23T01:32:32.8924185Z             
2022-11-23T01:32:32.8924262Z  - 
2022-11-23T01:32:32.8924392Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8924462Z             {
2022-11-23T01:32:32.8924607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8924713Z                 'code': None,
2022-11-23T01:32:32.8924931Z                 'obj_weakref': <weakref at 0x7f1fd81a0040; to 'Tensor' at 0x7f201e3c0e50>
2022-11-23T01:32:32.8925183Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8925254Z             }
2022-11-23T01:32:32.8925323Z             
2022-11-23T01:32:32.8925403Z  - 
2022-11-23T01:32:32.8925532Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8925594Z             {
2022-11-23T01:32:32.8925745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8925859Z                 'code': None,
2022-11-23T01:32:32.8926070Z                 'obj_weakref': <weakref at 0x7f20680526b0; to 'Tensor' at 0x7f2068206cf0>
2022-11-23T01:32:32.8926325Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8926397Z             }
2022-11-23T01:32:32.8926466Z             
2022-11-23T01:32:32.8926536Z  - 
2022-11-23T01:32:32.8926674Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8926776Z             {
2022-11-23T01:32:32.8926919Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8927095Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8927220Z                 'obj_weakref': None
2022-11-23T01:32:32.8927482Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8927545Z             }
2022-11-23T01:32:32.8927614Z             
2022-11-23T01:32:32.8927691Z  - 
2022-11-23T01:32:32.8927822Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8927892Z             {
2022-11-23T01:32:32.8928033Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8928256Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8928373Z                 'obj_weakref': None
2022-11-23T01:32:32.8928600Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8928672Z             }
2022-11-23T01:32:32.8928742Z             
2022-11-23T01:32:32.8929005Z [2022-11-23 01:31:10,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 901
2022-11-23T01:32:32.8929370Z [2022-11-23 01:31:10,241] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ht/chtysykhptem47y74nfnssfdlnwnnt7hxwnsh4hyeco7baogaygg.py
2022-11-23T01:32:32.8929639Z [2022-11-23 01:31:10,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 901
2022-11-23T01:32:32.8929645Z 
2022-11-23T01:32:32.8929746Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8929814Z import torch
2022-11-23T01:32:32.8929889Z import random
2022-11-23T01:32:32.8930013Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8930141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8930146Z 
2022-11-23T01:32:32.8930231Z aten = torch.ops.aten
2022-11-23T01:32:32.8930375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8930474Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8930479Z 
2022-11-23T01:32:32.8930554Z import triton
2022-11-23T01:32:32.8930641Z import triton.language as tl
2022-11-23T01:32:32.8930769Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8930915Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8930921Z 
2022-11-23T01:32:32.8930925Z 
2022-11-23T01:32:32.8931064Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8931277Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8931403Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8931516Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8931615Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8931684Z {
2022-11-23T01:32:32.8931790Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8931859Z     {
2022-11-23T01:32:32.8931946Z         #pragma omp for 
2022-11-23T01:32:32.8932036Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.8932104Z         {
2022-11-23T01:32:32.8932242Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.8932386Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.8932481Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8932579Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.8932650Z         }
2022-11-23T01:32:32.8932755Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.8932857Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.8932929Z         {
2022-11-23T01:32:32.8933032Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8933134Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.8933224Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8933314Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.8933413Z         }
2022-11-23T01:32:32.8933483Z     }
2022-11-23T01:32:32.8933543Z }
2022-11-23T01:32:32.8933630Z ''')
2022-11-23T01:32:32.8933636Z 
2022-11-23T01:32:32.8933640Z 
2022-11-23T01:32:32.8933735Z async_compile.wait(globals())
2022-11-23T01:32:32.8933815Z del async_compile
2022-11-23T01:32:32.8933842Z 
2022-11-23T01:32:32.8933921Z def call(args):
2022-11-23T01:32:32.8934005Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8934083Z     args.clear()
2022-11-23T01:32:32.8934299Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8934465Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8934540Z     del arg0_1
2022-11-23T01:32:32.8934612Z     del arg1_1
2022-11-23T01:32:32.8934689Z     return (buf0, )
2022-11-23T01:32:32.8934694Z 
2022-11-23T01:32:32.8934699Z 
2022-11-23T01:32:32.8934781Z if __name__ == "__main__":
2022-11-23T01:32:32.8934905Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8935035Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8935242Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8935442Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8935570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8935575Z 
2022-11-23T01:32:32.8935648Z ok (0.022s)
2022-11-23T01:32:32.8935998Z   test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:10,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8936318Z [2022-11-23 01:31:10,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8936538Z [2022-11-23 01:31:10,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8936795Z [2022-11-23 01:31:10,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8937075Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8937396Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8937731Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8938050Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8938430Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8938531Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8938629Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8938709Z               4 BINARY_ADD
2022-11-23T01:32:32.8938999Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8939088Z               8 RETURN_VALUE
2022-11-23T01:32:32.8939148Z  
2022-11-23T01:32:32.8939153Z 
2022-11-23T01:32:32.8939476Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8939695Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8939939Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8940219Z [2022-11-23 01:31:10,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8940518Z [2022-11-23 01:31:10,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8940770Z [2022-11-23 01:31:10,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8941158Z [2022-11-23 01:31:10,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8941446Z [2022-11-23 01:31:10,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8941684Z [2022-11-23 01:31:10,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8941933Z [2022-11-23 01:31:10,248] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8942184Z [2022-11-23 01:31:10,251] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8942381Z [2022-11-23 01:31:10,251] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8942524Z  __compiled_fn_920 <eval_with_key>.5650 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8942620Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8942717Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8942898Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8943000Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8943006Z 
2022-11-23T01:32:32.8943324Z [2022-11-23 01:31:10,251] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8943426Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8943525Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8943621Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8943722Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8943818Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8943914Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8943989Z              12 RETURN_VALUE
2022-11-23T01:32:32.8944002Z 
2022-11-23T01:32:32.8944062Z  
2022-11-23T01:32:32.8944382Z [2022-11-23 01:31:10,251] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8944502Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_920)
2022-11-23T01:32:32.8944600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8944699Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8944782Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8944878Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8944967Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8945050Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8945147Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8945261Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8945372Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8945469Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8945553Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8945641Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8945723Z              26 RETURN_VALUE
2022-11-23T01:32:32.8945728Z 
2022-11-23T01:32:32.8945794Z  
2022-11-23T01:32:32.8945984Z [2022-11-23 01:31:10,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8946063Z  - 
2022-11-23T01:32:32.8946189Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8946259Z             {
2022-11-23T01:32:32.8946399Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8946595Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8946721Z                 'obj_weakref': None
2022-11-23T01:32:32.8946995Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8947067Z             }
2022-11-23T01:32:32.8947136Z             
2022-11-23T01:32:32.8947216Z  - 
2022-11-23T01:32:32.8947339Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8947432Z             {
2022-11-23T01:32:32.8947581Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8947694Z                 'code': None,
2022-11-23T01:32:32.8947911Z                 'obj_weakref': <weakref at 0x7f2151f03150; to 'Tensor' at 0x7f1fd8312bb0>
2022-11-23T01:32:32.8948159Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8948229Z             }
2022-11-23T01:32:32.8948292Z             
2022-11-23T01:32:32.8948370Z  - 
2022-11-23T01:32:32.8948498Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8948568Z             {
2022-11-23T01:32:32.8948721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8948834Z                 'code': None,
2022-11-23T01:32:32.8949043Z                 'obj_weakref': <weakref at 0x7f2151f036a0; to 'Tensor' at 0x7f2151f19300>
2022-11-23T01:32:32.8949297Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8949362Z             }
2022-11-23T01:32:32.8949433Z             
2022-11-23T01:32:32.8949510Z  - 
2022-11-23T01:32:32.8949650Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8949719Z             {
2022-11-23T01:32:32.8949864Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8950033Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8950160Z                 'obj_weakref': None
2022-11-23T01:32:32.8950482Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8950553Z             }
2022-11-23T01:32:32.8950627Z             
2022-11-23T01:32:32.8950712Z  - 
2022-11-23T01:32:32.8950841Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8950904Z             {
2022-11-23T01:32:32.8951048Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8951273Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8951401Z                 'obj_weakref': None
2022-11-23T01:32:32.8951629Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8951699Z             }
2022-11-23T01:32:32.8951767Z             
2022-11-23T01:32:32.8952035Z [2022-11-23 01:31:10,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 902
2022-11-23T01:32:32.8952396Z [2022-11-23 01:31:10,263] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nc/cncnae7s24ilchskx2tbvy4s45rscokqfgzal6wvp2mxf4cq36r5.py
2022-11-23T01:32:32.8952668Z [2022-11-23 01:31:10,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 902
2022-11-23T01:32:32.8952674Z 
2022-11-23T01:32:32.8952774Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8952850Z import torch
2022-11-23T01:32:32.8952926Z import random
2022-11-23T01:32:32.8953054Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8953183Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8953188Z 
2022-11-23T01:32:32.8953273Z aten = torch.ops.aten
2022-11-23T01:32:32.8953407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8953507Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8953512Z 
2022-11-23T01:32:32.8953586Z import triton
2022-11-23T01:32:32.8953680Z import triton.language as tl
2022-11-23T01:32:32.8953809Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8953952Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8953957Z 
2022-11-23T01:32:32.8953962Z 
2022-11-23T01:32:32.8954146Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8954362Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8954483Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8954617Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8954725Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8954792Z {
2022-11-23T01:32:32.8954896Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8954965Z     {
2022-11-23T01:32:32.8955049Z         #pragma omp for 
2022-11-23T01:32:32.8955132Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.8955201Z         {
2022-11-23T01:32:32.8955347Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.8955478Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:32.8955570Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8955672Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.8955742Z         }
2022-11-23T01:32:32.8955838Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.8955928Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.8955996Z         {
2022-11-23T01:32:32.8956089Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8956177Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.8956268Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8956355Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.8956418Z         }
2022-11-23T01:32:32.8956487Z     }
2022-11-23T01:32:32.8956558Z }
2022-11-23T01:32:32.8956647Z ''')
2022-11-23T01:32:32.8956653Z 
2022-11-23T01:32:32.8956657Z 
2022-11-23T01:32:32.8956753Z async_compile.wait(globals())
2022-11-23T01:32:32.8956832Z del async_compile
2022-11-23T01:32:32.8956837Z 
2022-11-23T01:32:32.8956913Z def call(args):
2022-11-23T01:32:32.8956988Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8957064Z     args.clear()
2022-11-23T01:32:32.8957277Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8957448Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8957522Z     del arg0_1
2022-11-23T01:32:32.8957597Z     del arg1_1
2022-11-23T01:32:32.8957674Z     return (buf0, )
2022-11-23T01:32:32.8957680Z 
2022-11-23T01:32:32.8957684Z 
2022-11-23T01:32:32.8957765Z if __name__ == "__main__":
2022-11-23T01:32:32.8957879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8958009Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8958220Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8958416Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8958538Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8958543Z 
2022-11-23T01:32:32.8958614Z ok (0.021s)
2022-11-23T01:32:32.8958960Z   test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8959275Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8959492Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8959746Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8960024Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8960342Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8960720Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8961041Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8961440Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8961539Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8961640Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8961712Z               4 BINARY_ADD
2022-11-23T01:32:32.8961808Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8961889Z               8 RETURN_VALUE
2022-11-23T01:32:32.8961955Z  
2022-11-23T01:32:32.8961960Z 
2022-11-23T01:32:32.8962276Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8962517Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8962785Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8963065Z [2022-11-23 01:31:10,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8963313Z [2022-11-23 01:31:10,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8963553Z [2022-11-23 01:31:10,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8963935Z [2022-11-23 01:31:10,269] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8964184Z [2022-11-23 01:31:10,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8964419Z [2022-11-23 01:31:10,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8964680Z [2022-11-23 01:31:10,270] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8964938Z [2022-11-23 01:31:10,272] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8965133Z [2022-11-23 01:31:10,272] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8965275Z  __compiled_fn_921 <eval_with_key>.5656 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8965369Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8965456Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8965640Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8965741Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8965748Z 
2022-11-23T01:32:32.8966079Z [2022-11-23 01:31:10,272] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8966182Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8966283Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8966378Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8966478Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8966564Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8966660Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8966745Z              12 RETURN_VALUE
2022-11-23T01:32:32.8966750Z 
2022-11-23T01:32:32.8966816Z  
2022-11-23T01:32:32.8967142Z [2022-11-23 01:31:10,272] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8967294Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_921)
2022-11-23T01:32:32.8967393Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8967484Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8967568Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8967663Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8967782Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8967864Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8967960Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8968073Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8968186Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8968275Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8968356Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8968451Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8968533Z              26 RETURN_VALUE
2022-11-23T01:32:32.8968538Z 
2022-11-23T01:32:32.8968607Z  
2022-11-23T01:32:32.8968797Z [2022-11-23 01:31:10,273] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8968874Z  - 
2022-11-23T01:32:32.8968992Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8969061Z             {
2022-11-23T01:32:32.8969208Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8969405Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8969532Z                 'obj_weakref': None
2022-11-23T01:32:32.8969760Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8969831Z             }
2022-11-23T01:32:32.8969892Z             
2022-11-23T01:32:32.8969969Z  - 
2022-11-23T01:32:32.8970099Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8970170Z             {
2022-11-23T01:32:32.8970318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8970430Z                 'code': None,
2022-11-23T01:32:32.8970649Z                 'obj_weakref': <weakref at 0x7f2151f035b0; to 'Tensor' at 0x7f1ffad85710>
2022-11-23T01:32:32.8970892Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8970965Z             }
2022-11-23T01:32:32.8971036Z             
2022-11-23T01:32:32.8971112Z  - 
2022-11-23T01:32:32.8971241Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8971310Z             {
2022-11-23T01:32:32.8971462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8971567Z                 'code': None,
2022-11-23T01:32:32.8971780Z                 'obj_weakref': <weakref at 0x7f1f25ec0a40; to 'Tensor' at 0x7f2023414d10>
2022-11-23T01:32:32.8972037Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8972106Z             }
2022-11-23T01:32:32.8972174Z             
2022-11-23T01:32:32.8972253Z  - 
2022-11-23T01:32:32.8972393Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8972454Z             {
2022-11-23T01:32:32.8972596Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8972774Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8972909Z                 'obj_weakref': None
2022-11-23T01:32:32.8973184Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8973252Z             }
2022-11-23T01:32:32.8973319Z             
2022-11-23T01:32:32.8973387Z  - 
2022-11-23T01:32:32.8973515Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8973583Z             {
2022-11-23T01:32:32.8973727Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8973951Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8974075Z                 'obj_weakref': None
2022-11-23T01:32:32.8974328Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8974392Z             }
2022-11-23T01:32:32.8974462Z             
2022-11-23T01:32:32.8974731Z [2022-11-23 01:31:10,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 903
2022-11-23T01:32:32.8975129Z [2022-11-23 01:31:10,285] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yu/cyu7rmew5an5lbhvmleojwfrxnixsfphceu4kushbrvhfwbzoldo.py
2022-11-23T01:32:32.8975399Z [2022-11-23 01:31:10,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 903
2022-11-23T01:32:32.8975405Z 
2022-11-23T01:32:32.8975505Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8975581Z import torch
2022-11-23T01:32:32.8975657Z import random
2022-11-23T01:32:32.8975772Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.8975900Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.8975905Z 
2022-11-23T01:32:32.8975993Z aten = torch.ops.aten
2022-11-23T01:32:32.8976138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.8976238Z async_compile = AsyncCompile()
2022-11-23T01:32:32.8976243Z 
2022-11-23T01:32:32.8976319Z import triton
2022-11-23T01:32:32.8976414Z import triton.language as tl
2022-11-23T01:32:32.8976538Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.8976682Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.8976688Z 
2022-11-23T01:32:32.8976692Z 
2022-11-23T01:32:32.8976832Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.8977045Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.8977173Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.8977289Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.8977396Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.8977464Z {
2022-11-23T01:32:32.8977564Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.8977632Z     {
2022-11-23T01:32:32.8977716Z         #pragma omp for 
2022-11-23T01:32:32.8977805Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.8977875Z         {
2022-11-23T01:32:32.8977967Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.8978039Z             {
2022-11-23T01:32:32.8978171Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:32.8978322Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8978418Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8978532Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.8978601Z             }
2022-11-23T01:32:32.8978707Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.8979065Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.8979153Z             {
2022-11-23T01:32:32.8979279Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.8979422Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.8979518Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.8979619Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.8979688Z             }
2022-11-23T01:32:32.8979758Z         }
2022-11-23T01:32:32.8979822Z     }
2022-11-23T01:32:32.8979888Z }
2022-11-23T01:32:32.8979990Z ''')
2022-11-23T01:32:32.8979995Z 
2022-11-23T01:32:32.8980000Z 
2022-11-23T01:32:32.8980095Z async_compile.wait(globals())
2022-11-23T01:32:32.8980174Z del async_compile
2022-11-23T01:32:32.8980179Z 
2022-11-23T01:32:32.8980255Z def call(args):
2022-11-23T01:32:32.8980337Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.8980407Z     args.clear()
2022-11-23T01:32:32.8980622Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8980797Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.8980871Z     del arg0_1
2022-11-23T01:32:32.8981013Z     del arg1_1
2022-11-23T01:32:32.8981092Z     return (buf0, )
2022-11-23T01:32:32.8981097Z 
2022-11-23T01:32:32.8981101Z 
2022-11-23T01:32:32.8981186Z if __name__ == "__main__":
2022-11-23T01:32:32.8981309Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.8981460Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.8981675Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8981881Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.8982004Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.8982009Z 
2022-11-23T01:32:32.8982082Z ok (0.023s)
2022-11-23T01:32:32.8982432Z   test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:10,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.8982759Z [2022-11-23 01:31:10,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.8982985Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.8983245Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.8983524Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.8983845Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8984193Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8984522Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.8984906Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.8985010Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.8985108Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.8985188Z               4 BINARY_ADD
2022-11-23T01:32:32.8985283Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.8985359Z               8 RETURN_VALUE
2022-11-23T01:32:32.8985428Z  
2022-11-23T01:32:32.8985434Z 
2022-11-23T01:32:32.8985753Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.8985972Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.8986217Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.8986495Z [2022-11-23 01:31:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.8986744Z [2022-11-23 01:31:10,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.8986997Z [2022-11-23 01:31:10,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8987381Z [2022-11-23 01:31:10,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.8987625Z [2022-11-23 01:31:10,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.8987866Z [2022-11-23 01:31:10,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.8988156Z [2022-11-23 01:31:10,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.8988413Z [2022-11-23 01:31:10,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.8988632Z [2022-11-23 01:31:10,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.8988775Z  __compiled_fn_922 <eval_with_key>.5662 opcode, name, target, args, kwargs
2022-11-23T01:32:32.8988872Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.8988965Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.8989142Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.8989245Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.8989251Z 
2022-11-23T01:32:32.8989582Z [2022-11-23 01:31:10,295] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8989686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.8989788Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8989883Z               4 BUILD_MAP                0
2022-11-23T01:32:32.8989984Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.8990080Z               8 DICT_MERGE               1
2022-11-23T01:32:32.8990169Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.8990346Z              12 RETURN_VALUE
2022-11-23T01:32:32.8990352Z 
2022-11-23T01:32:32.8990433Z  
2022-11-23T01:32:32.8990799Z [2022-11-23 01:31:10,295] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.8990933Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_922)
2022-11-23T01:32:32.8991044Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8991610Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8991695Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.8991787Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.8991886Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.8991972Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.8992066Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.8992185Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.8992298Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.8992396Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.8992471Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.8992567Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.8992648Z              26 RETURN_VALUE
2022-11-23T01:32:32.8992654Z 
2022-11-23T01:32:32.8992720Z  
2022-11-23T01:32:32.8992910Z [2022-11-23 01:31:10,296] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.8992987Z  - 
2022-11-23T01:32:32.8993113Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.8993177Z             {
2022-11-23T01:32:32.8993327Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.8993523Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.8993650Z                 'obj_weakref': None
2022-11-23T01:32:32.8993877Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.8993951Z             }
2022-11-23T01:32:32.8994020Z             
2022-11-23T01:32:32.8994090Z  - 
2022-11-23T01:32:32.8994222Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.8994291Z             {
2022-11-23T01:32:32.8994441Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8994555Z                 'code': None,
2022-11-23T01:32:32.8994777Z                 'obj_weakref': <weakref at 0x7f1f25eab3d0; to 'Tensor' at 0x7f1fead92ac0>
2022-11-23T01:32:32.8995032Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8995147Z             }
2022-11-23T01:32:32.8995211Z             
2022-11-23T01:32:32.8995291Z  - 
2022-11-23T01:32:32.8995420Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.8995491Z             {
2022-11-23T01:32:32.8995642Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.8995777Z                 'code': None,
2022-11-23T01:32:32.8995986Z                 'obj_weakref': <weakref at 0x7f1f25ea9120; to 'Tensor' at 0x7f1ffad85710>
2022-11-23T01:32:32.8996245Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.8996316Z             }
2022-11-23T01:32:32.8996387Z             
2022-11-23T01:32:32.8996464Z  - 
2022-11-23T01:32:32.8996603Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.8996672Z             {
2022-11-23T01:32:32.8996807Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.8996983Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.8997111Z                 'obj_weakref': None
2022-11-23T01:32:32.8997344Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.8997417Z             }
2022-11-23T01:32:32.8997489Z             
2022-11-23T01:32:32.8997570Z  - 
2022-11-23T01:32:32.8997691Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.8997763Z             {
2022-11-23T01:32:32.8997907Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.8998130Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.8998256Z                 'obj_weakref': None
2022-11-23T01:32:32.8998482Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.8998551Z             }
2022-11-23T01:32:32.8998613Z             
2022-11-23T01:32:32.8998880Z [2022-11-23 01:31:10,300] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 904
2022-11-23T01:32:32.8999252Z [2022-11-23 01:31:11,834] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7rsnlpcdk5vmnig6otqc3c34wkvxtkyv6pt5sw7shaj4lcjpmb.py
2022-11-23T01:32:32.8999522Z [2022-11-23 01:31:11,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 904
2022-11-23T01:32:32.8999531Z 
2022-11-23T01:32:32.8999631Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.8999706Z import torch
2022-11-23T01:32:32.8999786Z import random
2022-11-23T01:32:32.8999909Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9000030Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9000048Z 
2022-11-23T01:32:32.9000125Z aten = torch.ops.aten
2022-11-23T01:32:32.9000267Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9000367Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9000372Z 
2022-11-23T01:32:32.9000446Z import triton
2022-11-23T01:32:32.9000542Z import triton.language as tl
2022-11-23T01:32:32.9000672Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9000816Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9000821Z 
2022-11-23T01:32:32.9000826Z 
2022-11-23T01:32:32.9000968Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9001173Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9001301Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9001419Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9001530Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9001597Z {
2022-11-23T01:32:32.9001702Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9001771Z     {
2022-11-23T01:32:32.9001862Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9001950Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9002019Z         {
2022-11-23T01:32:32.9002151Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9002222Z             {
2022-11-23T01:32:32.9002293Z                 {
2022-11-23T01:32:32.9002360Z                     {
2022-11-23T01:32:32.9002464Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9002596Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9002720Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.9002830Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9002951Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9003038Z                     }
2022-11-23T01:32:32.9003122Z                 }
2022-11-23T01:32:32.9003184Z             }
2022-11-23T01:32:32.9003253Z         }
2022-11-23T01:32:32.9003321Z     }
2022-11-23T01:32:32.9003387Z }
2022-11-23T01:32:32.9003474Z ''')
2022-11-23T01:32:32.9003479Z 
2022-11-23T01:32:32.9003484Z 
2022-11-23T01:32:32.9003579Z async_compile.wait(globals())
2022-11-23T01:32:32.9003660Z del async_compile
2022-11-23T01:32:32.9003665Z 
2022-11-23T01:32:32.9003734Z def call(args):
2022-11-23T01:32:32.9003816Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9003894Z     args.clear()
2022-11-23T01:32:32.9004108Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9004284Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9004358Z     del arg0_1
2022-11-23T01:32:32.9004431Z     del arg1_1
2022-11-23T01:32:32.9004502Z     return (buf0, )
2022-11-23T01:32:32.9004507Z 
2022-11-23T01:32:32.9004511Z 
2022-11-23T01:32:32.9004596Z if __name__ == "__main__":
2022-11-23T01:32:32.9004718Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9004848Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9005059Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9005265Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9005388Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9005394Z 
2022-11-23T01:32:32.9005469Z ok (1.549s)
2022-11-23T01:32:32.9005798Z   test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:11,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9006119Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9006343Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9006603Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9006885Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9007204Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9007547Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9007872Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9008244Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9008344Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9008437Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9008518Z               4 BINARY_ADD
2022-11-23T01:32:32.9008645Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9008734Z               8 RETURN_VALUE
2022-11-23T01:32:32.9008802Z  
2022-11-23T01:32:32.9008808Z 
2022-11-23T01:32:32.9009124Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9009358Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9009602Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9009869Z [2022-11-23 01:31:11,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9010113Z [2022-11-23 01:31:11,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9010361Z [2022-11-23 01:31:11,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9010743Z [2022-11-23 01:31:11,841] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9010989Z [2022-11-23 01:31:11,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9011228Z [2022-11-23 01:31:11,841] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9011485Z [2022-11-23 01:31:11,842] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9011741Z [2022-11-23 01:31:11,844] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9011936Z [2022-11-23 01:31:11,844] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9012080Z  __compiled_fn_923 <eval_with_key>.5668 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9012171Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9012265Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9012454Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9012555Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9012560Z 
2022-11-23T01:32:32.9012922Z [2022-11-23 01:31:11,844] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9013046Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9013154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9013242Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9013343Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9013437Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9013533Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9013617Z              12 RETURN_VALUE
2022-11-23T01:32:32.9013622Z 
2022-11-23T01:32:32.9013688Z  
2022-11-23T01:32:32.9014018Z [2022-11-23 01:31:11,845] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9014140Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_923)
2022-11-23T01:32:32.9014233Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9014331Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9014414Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9014510Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9014605Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9014686Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9014781Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9014887Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9014998Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9015097Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9015206Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9015302Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9015385Z              26 RETURN_VALUE
2022-11-23T01:32:32.9015390Z 
2022-11-23T01:32:32.9015456Z  
2022-11-23T01:32:32.9015659Z [2022-11-23 01:31:11,845] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9015737Z  - 
2022-11-23T01:32:32.9015863Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9015932Z             {
2022-11-23T01:32:32.9016082Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9016275Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9016402Z                 'obj_weakref': None
2022-11-23T01:32:32.9016631Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9016695Z             }
2022-11-23T01:32:32.9016765Z             
2022-11-23T01:32:32.9016844Z  - 
2022-11-23T01:32:32.9016976Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9017046Z             {
2022-11-23T01:32:32.9017197Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9017304Z                 'code': None,
2022-11-23T01:32:32.9017523Z                 'obj_weakref': <weakref at 0x7f1f25e9c720; to 'Tensor' at 0x7f1fd97e63e0>
2022-11-23T01:32:32.9017778Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9017848Z             }
2022-11-23T01:32:32.9017919Z             
2022-11-23T01:32:32.9017999Z  - 
2022-11-23T01:32:32.9018127Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9018190Z             {
2022-11-23T01:32:32.9018339Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9018455Z                 'code': None,
2022-11-23T01:32:32.9018669Z                 'obj_weakref': <weakref at 0x7f1f25e9fec0; to 'Tensor' at 0x7f2151f193f0>
2022-11-23T01:32:32.9019047Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9019118Z             }
2022-11-23T01:32:32.9019187Z             
2022-11-23T01:32:32.9019269Z  - 
2022-11-23T01:32:32.9019399Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9019471Z             {
2022-11-23T01:32:32.9019617Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9019796Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9019921Z                 'obj_weakref': None
2022-11-23T01:32:32.9020155Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9020226Z             }
2022-11-23T01:32:32.9020288Z             
2022-11-23T01:32:32.9020364Z  - 
2022-11-23T01:32:32.9020494Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9020563Z             {
2022-11-23T01:32:32.9020706Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9020932Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9021050Z                 'obj_weakref': None
2022-11-23T01:32:32.9021280Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9021352Z             }
2022-11-23T01:32:32.9021420Z             
2022-11-23T01:32:32.9021689Z [2022-11-23 01:31:11,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 905
2022-11-23T01:32:32.9022060Z [2022-11-23 01:31:13,412] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chde47sokgaftev7wv6aohe3d4tkmr3qyqts4g5jmygva2qrvgyi.py
2022-11-23T01:32:32.9022343Z [2022-11-23 01:31:13,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 905
2022-11-23T01:32:32.9022350Z 
2022-11-23T01:32:32.9022463Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9022555Z import torch
2022-11-23T01:32:32.9022632Z import random
2022-11-23T01:32:32.9022807Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9022939Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9022944Z 
2022-11-23T01:32:32.9023029Z aten = torch.ops.aten
2022-11-23T01:32:32.9023170Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9023297Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9023302Z 
2022-11-23T01:32:32.9023379Z import triton
2022-11-23T01:32:32.9023466Z import triton.language as tl
2022-11-23T01:32:32.9023595Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9023742Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9023748Z 
2022-11-23T01:32:32.9023752Z 
2022-11-23T01:32:32.9023894Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9024106Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9024236Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9024348Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9024459Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9024519Z {
2022-11-23T01:32:32.9024624Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9024694Z     {
2022-11-23T01:32:32.9024792Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9024882Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9024951Z         {
2022-11-23T01:32:32.9025045Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9025108Z             {
2022-11-23T01:32:32.9025179Z                 {
2022-11-23T01:32:32.9025252Z                     {
2022-11-23T01:32:32.9025354Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9025457Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9025578Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:32.9025677Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9025778Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9025852Z                     }
2022-11-23T01:32:32.9025922Z                 }
2022-11-23T01:32:32.9025991Z             }
2022-11-23T01:32:32.9026060Z         }
2022-11-23T01:32:32.9026130Z     }
2022-11-23T01:32:32.9026189Z }
2022-11-23T01:32:32.9026277Z ''')
2022-11-23T01:32:32.9026283Z 
2022-11-23T01:32:32.9026287Z 
2022-11-23T01:32:32.9026383Z async_compile.wait(globals())
2022-11-23T01:32:32.9026461Z del async_compile
2022-11-23T01:32:32.9026466Z 
2022-11-23T01:32:32.9026542Z def call(args):
2022-11-23T01:32:32.9026625Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9026703Z     args.clear()
2022-11-23T01:32:32.9026918Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9027081Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9027157Z     del arg0_1
2022-11-23T01:32:32.9027233Z     del arg1_1
2022-11-23T01:32:32.9027312Z     return (buf0, )
2022-11-23T01:32:32.9027317Z 
2022-11-23T01:32:32.9027321Z 
2022-11-23T01:32:32.9027404Z if __name__ == "__main__":
2022-11-23T01:32:32.9027525Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9027661Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9027872Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9028059Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9028184Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9028189Z 
2022-11-23T01:32:32.9028261Z ok (1.584s)
2022-11-23T01:32:32.9028606Z   test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9028950Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9029173Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9029429Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9029731Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9030047Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9030467Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9030792Z [2022-11-23 01:31:13,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9031170Z [2022-11-23 01:31:13,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9031271Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9031373Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9031454Z               4 BINARY_ADD
2022-11-23T01:32:32.9031550Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9031636Z               8 RETURN_VALUE
2022-11-23T01:32:32.9031696Z  
2022-11-23T01:32:32.9031701Z 
2022-11-23T01:32:32.9032016Z [2022-11-23 01:31:13,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9032230Z [2022-11-23 01:31:13,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9032472Z [2022-11-23 01:31:13,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9032746Z [2022-11-23 01:31:13,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9032996Z [2022-11-23 01:31:13,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9033245Z [2022-11-23 01:31:13,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9033622Z [2022-11-23 01:31:13,426] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9033870Z [2022-11-23 01:31:13,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9034106Z [2022-11-23 01:31:13,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9034358Z [2022-11-23 01:31:13,427] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9034613Z [2022-11-23 01:31:13,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9034811Z [2022-11-23 01:31:13,430] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9034957Z  __compiled_fn_924 <eval_with_key>.5674 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9035054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9035147Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9035331Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9035433Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9035439Z 
2022-11-23T01:32:32.9035764Z [2022-11-23 01:31:13,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9035865Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9035993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9036091Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9036194Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9036288Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9036411Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9036495Z              12 RETURN_VALUE
2022-11-23T01:32:32.9036500Z 
2022-11-23T01:32:32.9036561Z  
2022-11-23T01:32:32.9036886Z [2022-11-23 01:31:13,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9037007Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_924)
2022-11-23T01:32:32.9037105Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9037205Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9037288Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9037387Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9037476Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9037558Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9037654Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9037768Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9037882Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9037979Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9038062Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9038149Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9038232Z              26 RETURN_VALUE
2022-11-23T01:32:32.9038237Z 
2022-11-23T01:32:32.9038303Z  
2022-11-23T01:32:32.9038492Z [2022-11-23 01:31:13,432] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9038568Z  - 
2022-11-23T01:32:32.9038695Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9038765Z             {
2022-11-23T01:32:32.9038907Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9039107Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9039233Z                 'obj_weakref': None
2022-11-23T01:32:32.9039461Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9039537Z             }
2022-11-23T01:32:32.9039606Z             
2022-11-23T01:32:32.9039683Z  - 
2022-11-23T01:32:32.9039808Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9039877Z             {
2022-11-23T01:32:32.9040028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9040142Z                 'code': None,
2022-11-23T01:32:32.9040361Z                 'obj_weakref': <weakref at 0x7f1ffad48450; to 'Tensor' at 0x7f1fd8c80720>
2022-11-23T01:32:32.9040616Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9040687Z             }
2022-11-23T01:32:32.9040759Z             
2022-11-23T01:32:32.9040829Z  - 
2022-11-23T01:32:32.9040964Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9041033Z             {
2022-11-23T01:32:32.9041183Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9041297Z                 'code': None,
2022-11-23T01:32:32.9041512Z                 'obj_weakref': <weakref at 0x7f2115a88540; to 'Tensor' at 0x7f1f25e87560>
2022-11-23T01:32:32.9041769Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9041832Z             }
2022-11-23T01:32:32.9041901Z             
2022-11-23T01:32:32.9041977Z  - 
2022-11-23T01:32:32.9042115Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9042183Z             {
2022-11-23T01:32:32.9042324Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9042505Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9042656Z                 'obj_weakref': None
2022-11-23T01:32:32.9042891Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9042962Z             }
2022-11-23T01:32:32.9043030Z             
2022-11-23T01:32:32.9043112Z  - 
2022-11-23T01:32:32.9043262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9043325Z             {
2022-11-23T01:32:32.9043466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9043689Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9043815Z                 'obj_weakref': None
2022-11-23T01:32:32.9044039Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9044109Z             }
2022-11-23T01:32:32.9044179Z             
2022-11-23T01:32:32.9044443Z [2022-11-23 01:31:13,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 906
2022-11-23T01:32:32.9044804Z [2022-11-23 01:31:14,993] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x4/cx4fsunvuqyavogzbygzi3q2yzz6sjwibp3oglbmdwjf7ipszmmw.py
2022-11-23T01:32:32.9045069Z [2022-11-23 01:31:14,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 906
2022-11-23T01:32:32.9045078Z 
2022-11-23T01:32:32.9045179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9045253Z import torch
2022-11-23T01:32:32.9045329Z import random
2022-11-23T01:32:32.9045452Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9045579Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9045584Z 
2022-11-23T01:32:32.9045673Z aten = torch.ops.aten
2022-11-23T01:32:32.9045807Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9045907Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9045912Z 
2022-11-23T01:32:32.9045986Z import triton
2022-11-23T01:32:32.9046080Z import triton.language as tl
2022-11-23T01:32:32.9046210Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9046356Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9046361Z 
2022-11-23T01:32:32.9046365Z 
2022-11-23T01:32:32.9046505Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9046722Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9046841Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9046955Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9047061Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9047129Z {
2022-11-23T01:32:32.9047233Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9047301Z     {
2022-11-23T01:32:32.9047399Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9047480Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9047550Z         {
2022-11-23T01:32:32.9047646Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9047717Z             {
2022-11-23T01:32:32.9047792Z                 {
2022-11-23T01:32:32.9047865Z                     {
2022-11-23T01:32:32.9047968Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9048075Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9048181Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9048286Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9048358Z                     }
2022-11-23T01:32:32.9048430Z                 }
2022-11-23T01:32:32.9048499Z             }
2022-11-23T01:32:32.9048567Z         }
2022-11-23T01:32:32.9048629Z     }
2022-11-23T01:32:32.9048694Z }
2022-11-23T01:32:32.9048780Z ''')
2022-11-23T01:32:32.9048786Z 
2022-11-23T01:32:32.9048790Z 
2022-11-23T01:32:32.9048887Z async_compile.wait(globals())
2022-11-23T01:32:32.9048965Z del async_compile
2022-11-23T01:32:32.9048971Z 
2022-11-23T01:32:32.9049049Z def call(args):
2022-11-23T01:32:32.9049170Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9049242Z     args.clear()
2022-11-23T01:32:32.9049455Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9049630Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9049744Z     del arg0_1
2022-11-23T01:32:32.9049819Z     del arg1_1
2022-11-23T01:32:32.9049896Z     return (buf0, )
2022-11-23T01:32:32.9049901Z 
2022-11-23T01:32:32.9049906Z 
2022-11-23T01:32:32.9049988Z if __name__ == "__main__":
2022-11-23T01:32:32.9050102Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9050232Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9050442Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9050644Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9050769Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9050774Z 
2022-11-23T01:32:32.9050847Z ok (1.575s)
2022-11-23T01:32:32.9051198Z   test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9051518Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9051740Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9051989Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9052267Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9052588Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9052930Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9053252Z [2022-11-23 01:31:14,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9053627Z [2022-11-23 01:31:15,000] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9053728Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9053830Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9053910Z               4 BINARY_ADD
2022-11-23T01:32:32.9053999Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9054082Z               8 RETURN_VALUE
2022-11-23T01:32:32.9054152Z  
2022-11-23T01:32:32.9054157Z 
2022-11-23T01:32:32.9054470Z [2022-11-23 01:31:15,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9054683Z [2022-11-23 01:31:15,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9054927Z [2022-11-23 01:31:15,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9055200Z [2022-11-23 01:31:15,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9055444Z [2022-11-23 01:31:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9055692Z [2022-11-23 01:31:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9056091Z [2022-11-23 01:31:15,001] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9056338Z [2022-11-23 01:31:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9056576Z [2022-11-23 01:31:15,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9056856Z [2022-11-23 01:31:15,002] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9057110Z [2022-11-23 01:31:15,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9057302Z [2022-11-23 01:31:15,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9057447Z  __compiled_fn_925 <eval_with_key>.5680 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9057543Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9057639Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9057817Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9057919Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9057924Z 
2022-11-23T01:32:32.9058252Z [2022-11-23 01:31:15,005] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9058358Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9058457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9058555Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9058658Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9058753Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9059107Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9059194Z              12 RETURN_VALUE
2022-11-23T01:32:32.9059200Z 
2022-11-23T01:32:32.9059268Z  
2022-11-23T01:32:32.9059596Z [2022-11-23 01:31:15,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9059714Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_925)
2022-11-23T01:32:32.9059815Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9059914Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9059994Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9060091Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9060187Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9060269Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9060364Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9060480Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9060592Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9060682Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9060766Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9060863Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9060947Z              26 RETURN_VALUE
2022-11-23T01:32:32.9060953Z 
2022-11-23T01:32:32.9061021Z  
2022-11-23T01:32:32.9061210Z [2022-11-23 01:31:15,006] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9061286Z  - 
2022-11-23T01:32:32.9061416Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9061479Z             {
2022-11-23T01:32:32.9061631Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9061822Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9061947Z                 'obj_weakref': None
2022-11-23T01:32:32.9062174Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9062245Z             }
2022-11-23T01:32:32.9062315Z             
2022-11-23T01:32:32.9062385Z  - 
2022-11-23T01:32:32.9062514Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9062587Z             {
2022-11-23T01:32:32.9062802Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9062919Z                 'code': None,
2022-11-23T01:32:32.9063134Z                 'obj_weakref': <weakref at 0x7f1f25ec0f40; to 'Tensor' at 0x7f20232bc540>
2022-11-23T01:32:32.9063387Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9063480Z             }
2022-11-23T01:32:32.9063551Z             
2022-11-23T01:32:32.9063628Z  - 
2022-11-23T01:32:32.9063758Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9063827Z             {
2022-11-23T01:32:32.9063976Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9064090Z                 'code': None,
2022-11-23T01:32:32.9064295Z                 'obj_weakref': <weakref at 0x7f1fe03c3920; to 'Tensor' at 0x7f2022eafba0>
2022-11-23T01:32:32.9064547Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9064621Z             }
2022-11-23T01:32:32.9064691Z             
2022-11-23T01:32:32.9064768Z  - 
2022-11-23T01:32:32.9064903Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9064973Z             {
2022-11-23T01:32:32.9065108Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9065287Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9065411Z                 'obj_weakref': None
2022-11-23T01:32:32.9065643Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9065714Z             }
2022-11-23T01:32:32.9065783Z             
2022-11-23T01:32:32.9065859Z  - 
2022-11-23T01:32:32.9065979Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9066049Z             {
2022-11-23T01:32:32.9066190Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9066416Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9066542Z                 'obj_weakref': None
2022-11-23T01:32:32.9066766Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9066839Z             }
2022-11-23T01:32:32.9066901Z             
2022-11-23T01:32:32.9067167Z [2022-11-23 01:31:15,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 907
2022-11-23T01:32:32.9067546Z [2022-11-23 01:31:15,019] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qm/cqmjztdmmflbuz6rmxpy54tdrrbhaetpgdhjjin2nsd5gzvgulln.py
2022-11-23T01:32:32.9067818Z [2022-11-23 01:31:15,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 907
2022-11-23T01:32:32.9067825Z 
2022-11-23T01:32:32.9067927Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9068002Z import torch
2022-11-23T01:32:32.9068077Z import random
2022-11-23T01:32:32.9068204Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9068328Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9068333Z 
2022-11-23T01:32:32.9068418Z aten = torch.ops.aten
2022-11-23T01:32:32.9068561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9068661Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9068671Z 
2022-11-23T01:32:32.9068747Z import triton
2022-11-23T01:32:32.9068843Z import triton.language as tl
2022-11-23T01:32:32.9068972Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9069110Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9069121Z 
2022-11-23T01:32:32.9069126Z 
2022-11-23T01:32:32.9069259Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9069474Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9069603Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9069718Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9069859Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9069930Z {
2022-11-23T01:32:32.9070036Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9070097Z     {
2022-11-23T01:32:32.9070183Z         #pragma omp for 
2022-11-23T01:32:32.9070344Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9070455Z         {
2022-11-23T01:32:32.9070559Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.9070642Z             {
2022-11-23T01:32:32.9070809Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:32:32.9070965Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9071063Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9071177Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9071247Z             }
2022-11-23T01:32:32.9071347Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.9071441Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.9071511Z             {
2022-11-23T01:32:32.9071596Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.9071702Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9071795Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9071899Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9071972Z             }
2022-11-23T01:32:32.9072042Z         }
2022-11-23T01:32:32.9072111Z     }
2022-11-23T01:32:32.9072170Z }
2022-11-23T01:32:32.9072261Z ''')
2022-11-23T01:32:32.9072267Z 
2022-11-23T01:32:32.9072272Z 
2022-11-23T01:32:32.9072367Z async_compile.wait(globals())
2022-11-23T01:32:32.9072449Z del async_compile
2022-11-23T01:32:32.9072454Z 
2022-11-23T01:32:32.9072531Z def call(args):
2022-11-23T01:32:32.9072612Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9072689Z     args.clear()
2022-11-23T01:32:32.9072898Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9073074Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9073148Z     del arg0_1
2022-11-23T01:32:32.9073222Z     del arg1_1
2022-11-23T01:32:32.9073299Z     return (buf0, )
2022-11-23T01:32:32.9073304Z 
2022-11-23T01:32:32.9073312Z 
2022-11-23T01:32:32.9073394Z if __name__ == "__main__":
2022-11-23T01:32:32.9073517Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9073647Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9073851Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9074053Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9074179Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9074184Z 
2022-11-23T01:32:32.9074257Z ok (0.025s)
2022-11-23T01:32:32.9074610Z   test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:15,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9074929Z [2022-11-23 01:31:15,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9075151Z [2022-11-23 01:31:15,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9075411Z [2022-11-23 01:31:15,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9075692Z [2022-11-23 01:31:15,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9076004Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9076377Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9076707Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9077094Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9077221Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9077320Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9077401Z               4 BINARY_ADD
2022-11-23T01:32:32.9077500Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9077584Z               8 RETURN_VALUE
2022-11-23T01:32:32.9077645Z  
2022-11-23T01:32:32.9077650Z 
2022-11-23T01:32:32.9077964Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9078182Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9078424Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9078704Z [2022-11-23 01:31:15,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9078954Z [2022-11-23 01:31:15,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9079208Z [2022-11-23 01:31:15,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9079594Z [2022-11-23 01:31:15,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9079845Z [2022-11-23 01:31:15,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9080087Z [2022-11-23 01:31:15,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9080340Z [2022-11-23 01:31:15,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9080599Z [2022-11-23 01:31:15,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9080794Z [2022-11-23 01:31:15,029] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9080938Z  __compiled_fn_926 <eval_with_key>.5686 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9081034Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9081130Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9081319Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9081414Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9081429Z 
2022-11-23T01:32:32.9081754Z [2022-11-23 01:31:15,029] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9081858Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9081957Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9082053Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9082159Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9082256Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9082352Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9082428Z              12 RETURN_VALUE
2022-11-23T01:32:32.9082440Z 
2022-11-23T01:32:32.9082500Z  
2022-11-23T01:32:32.9082827Z [2022-11-23 01:31:15,029] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9082947Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_926)
2022-11-23T01:32:32.9083046Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9083171Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9083256Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9083353Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9083442Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9083547Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9083642Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9083755Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9083866Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9083964Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9084047Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9084134Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9084216Z              26 RETURN_VALUE
2022-11-23T01:32:32.9084221Z 
2022-11-23T01:32:32.9084287Z  
2022-11-23T01:32:32.9084480Z [2022-11-23 01:31:15,030] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9084559Z  - 
2022-11-23T01:32:32.9084685Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9084756Z             {
2022-11-23T01:32:32.9084896Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9085090Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9085218Z                 'obj_weakref': None
2022-11-23T01:32:32.9085450Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9085521Z             }
2022-11-23T01:32:32.9085591Z             
2022-11-23T01:32:32.9085669Z  - 
2022-11-23T01:32:32.9085793Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9085863Z             {
2022-11-23T01:32:32.9086014Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9086128Z                 'code': None,
2022-11-23T01:32:32.9086344Z                 'obj_weakref': <weakref at 0x7f1fead91300; to 'Tensor' at 0x7f20682ad990>
2022-11-23T01:32:32.9086600Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9086670Z             }
2022-11-23T01:32:32.9086732Z             
2022-11-23T01:32:32.9086809Z  - 
2022-11-23T01:32:32.9086938Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9087010Z             {
2022-11-23T01:32:32.9087158Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9087271Z                 'code': None,
2022-11-23T01:32:32.9087485Z                 'obj_weakref': <weakref at 0x7f206826f1a0; to 'Tensor' at 0x7f1fd9bccbd0>
2022-11-23T01:32:32.9087728Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9087802Z             }
2022-11-23T01:32:32.9087871Z             
2022-11-23T01:32:32.9087948Z  - 
2022-11-23T01:32:32.9088085Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9088155Z             {
2022-11-23T01:32:32.9088299Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9088469Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9088598Z                 'obj_weakref': None
2022-11-23T01:32:32.9088834Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9088908Z             }
2022-11-23T01:32:32.9088977Z             
2022-11-23T01:32:32.9089055Z  - 
2022-11-23T01:32:32.9089182Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9089245Z             {
2022-11-23T01:32:32.9089388Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9089611Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9089737Z                 'obj_weakref': None
2022-11-23T01:32:32.9089964Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9090034Z             }
2022-11-23T01:32:32.9090135Z             
2022-11-23T01:32:32.9090394Z [2022-11-23 01:31:15,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 908
2022-11-23T01:32:32.9090773Z [2022-11-23 01:31:16,586] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fy/cfykmzujuqwk6arliwkgocddfqrdkdoyx6tea5j5ftk5kjajawvc.py
2022-11-23T01:32:32.9091069Z [2022-11-23 01:31:16,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 908
2022-11-23T01:32:32.9091075Z 
2022-11-23T01:32:32.9091176Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9091252Z import torch
2022-11-23T01:32:32.9091328Z import random
2022-11-23T01:32:32.9091452Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9091582Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9091587Z 
2022-11-23T01:32:32.9091671Z aten = torch.ops.aten
2022-11-23T01:32:32.9091807Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9091910Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9091916Z 
2022-11-23T01:32:32.9091992Z import triton
2022-11-23T01:32:32.9092086Z import triton.language as tl
2022-11-23T01:32:32.9092216Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9092363Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9092371Z 
2022-11-23T01:32:32.9092375Z 
2022-11-23T01:32:32.9092517Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9092729Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9092855Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9092989Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9093114Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9093191Z {
2022-11-23T01:32:32.9093298Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9093368Z     {
2022-11-23T01:32:32.9093456Z         #pragma omp for 
2022-11-23T01:32:32.9093539Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.9093608Z         {
2022-11-23T01:32:32.9093741Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:32.9093884Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.9093978Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9094077Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9094147Z         }
2022-11-23T01:32:32.9094242Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9094333Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.9094404Z         {
2022-11-23T01:32:32.9094495Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9094586Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9094675Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9094764Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9094827Z         }
2022-11-23T01:32:32.9094895Z     }
2022-11-23T01:32:32.9094961Z }
2022-11-23T01:32:32.9095050Z ''')
2022-11-23T01:32:32.9095056Z 
2022-11-23T01:32:32.9095060Z 
2022-11-23T01:32:32.9095157Z async_compile.wait(globals())
2022-11-23T01:32:32.9095238Z del async_compile
2022-11-23T01:32:32.9095243Z 
2022-11-23T01:32:32.9095320Z def call(args):
2022-11-23T01:32:32.9095397Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9095478Z     args.clear()
2022-11-23T01:32:32.9095680Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9095857Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9095933Z     del arg0_1
2022-11-23T01:32:32.9096006Z     del arg1_1
2022-11-23T01:32:32.9096085Z     return (buf0, )
2022-11-23T01:32:32.9096091Z 
2022-11-23T01:32:32.9096095Z 
2022-11-23T01:32:32.9096171Z if __name__ == "__main__":
2022-11-23T01:32:32.9104495Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9104626Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9104944Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9105141Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9105264Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9105301Z 
2022-11-23T01:32:32.9105377Z ok (1.567s)
2022-11-23T01:32:32.9105731Z   test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9106054Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9106272Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9106534Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9106821Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9107145Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9107497Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9107824Z [2022-11-23 01:31:16,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9108208Z [2022-11-23 01:31:16,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9108307Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9108408Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9108481Z               4 BINARY_ADD
2022-11-23T01:32:32.9108577Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9108658Z               8 RETURN_VALUE
2022-11-23T01:32:32.9108725Z  
2022-11-23T01:32:32.9108733Z 
2022-11-23T01:32:32.9109052Z [2022-11-23 01:31:16,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9109269Z [2022-11-23 01:31:16,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9109515Z [2022-11-23 01:31:16,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9109792Z [2022-11-23 01:31:16,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9110039Z [2022-11-23 01:31:16,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9110367Z [2022-11-23 01:31:16,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9110791Z [2022-11-23 01:31:16,593] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9111043Z [2022-11-23 01:31:16,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9111285Z [2022-11-23 01:31:16,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9111542Z [2022-11-23 01:31:16,594] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9111792Z [2022-11-23 01:31:16,597] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9111987Z [2022-11-23 01:31:16,597] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9112160Z  __compiled_fn_927 <eval_with_key>.5692 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9112257Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9112343Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9112528Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9112653Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9112659Z 
2022-11-23T01:32:32.9112991Z [2022-11-23 01:31:16,597] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9113094Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9113193Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9113287Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9113388Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9113474Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9113572Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9113656Z              12 RETURN_VALUE
2022-11-23T01:32:32.9113661Z 
2022-11-23T01:32:32.9113729Z  
2022-11-23T01:32:32.9114049Z [2022-11-23 01:31:16,597] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9114174Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_927)
2022-11-23T01:32:32.9114270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9114361Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9114442Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9114539Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9114634Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9114714Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9114807Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9114918Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9115023Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9115121Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9115204Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9115300Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9115386Z              26 RETURN_VALUE
2022-11-23T01:32:32.9115391Z 
2022-11-23T01:32:32.9115456Z  
2022-11-23T01:32:32.9115641Z [2022-11-23 01:31:16,598] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9115717Z  - 
2022-11-23T01:32:32.9115835Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9115904Z             {
2022-11-23T01:32:32.9116052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9116242Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9116365Z                 'obj_weakref': None
2022-11-23T01:32:32.9116589Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9116661Z             }
2022-11-23T01:32:32.9116723Z             
2022-11-23T01:32:32.9116799Z  - 
2022-11-23T01:32:32.9116927Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9116996Z             {
2022-11-23T01:32:32.9117141Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9117255Z                 'code': None,
2022-11-23T01:32:32.9117459Z                 'obj_weakref': <weakref at 0x7f2151f19530; to 'Tensor' at 0x7f202320cea0>
2022-11-23T01:32:32.9117706Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9117775Z             }
2022-11-23T01:32:32.9117843Z             
2022-11-23T01:32:32.9117918Z  - 
2022-11-23T01:32:32.9118045Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9118113Z             {
2022-11-23T01:32:32.9118252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9118363Z                 'code': None,
2022-11-23T01:32:32.9118609Z                 'obj_weakref': <weakref at 0x7f1f259e8040; to 'Tensor' at 0x7f1fead93790>
2022-11-23T01:32:32.9118860Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9118929Z             }
2022-11-23T01:32:32.9119020Z             
2022-11-23T01:32:32.9119096Z  - 
2022-11-23T01:32:32.9119232Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9119294Z             {
2022-11-23T01:32:32.9119434Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9119610Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9119733Z                 'obj_weakref': None
2022-11-23T01:32:32.9119962Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9120031Z             }
2022-11-23T01:32:32.9120099Z             
2022-11-23T01:32:32.9120168Z  - 
2022-11-23T01:32:32.9120293Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9120364Z             {
2022-11-23T01:32:32.9120505Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9120721Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9120845Z                 'obj_weakref': None
2022-11-23T01:32:32.9121071Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9121134Z             }
2022-11-23T01:32:32.9121201Z             
2022-11-23T01:32:32.9121466Z [2022-11-23 01:31:16,602] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 909
2022-11-23T01:32:32.9121834Z [2022-11-23 01:31:16,609] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuy4e37spnbylu4uwoiez4wzhn2jvuvch4vpyqjdeumgptv6expr.py
2022-11-23T01:32:32.9122104Z [2022-11-23 01:31:16,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 909
2022-11-23T01:32:32.9122110Z 
2022-11-23T01:32:32.9122212Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9122287Z import torch
2022-11-23T01:32:32.9122361Z import random
2022-11-23T01:32:32.9122477Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9122604Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9122612Z 
2022-11-23T01:32:32.9122696Z aten = torch.ops.aten
2022-11-23T01:32:32.9122836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9122941Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9122948Z 
2022-11-23T01:32:32.9123039Z import triton
2022-11-23T01:32:32.9123139Z import triton.language as tl
2022-11-23T01:32:32.9123276Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9123419Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9123424Z 
2022-11-23T01:32:32.9123429Z 
2022-11-23T01:32:32.9123567Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9123779Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9123905Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9124017Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9124121Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9124190Z {
2022-11-23T01:32:32.9124287Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9124353Z     {
2022-11-23T01:32:32.9124436Z         #pragma omp for 
2022-11-23T01:32:32.9124523Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:32.9124592Z         {
2022-11-23T01:32:32.9124728Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:32.9124872Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.9124957Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9125056Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9125123Z         }
2022-11-23T01:32:32.9125256Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9125347Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:32:32.9125416Z         {
2022-11-23T01:32:32.9125506Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9125590Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9125707Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9125794Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9125863Z         }
2022-11-23T01:32:32.9125931Z     }
2022-11-23T01:32:32.9125997Z }
2022-11-23T01:32:32.9126086Z ''')
2022-11-23T01:32:32.9126091Z 
2022-11-23T01:32:32.9126096Z 
2022-11-23T01:32:32.9126184Z async_compile.wait(globals())
2022-11-23T01:32:32.9126262Z del async_compile
2022-11-23T01:32:32.9126267Z 
2022-11-23T01:32:32.9126345Z def call(args):
2022-11-23T01:32:32.9126426Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9126501Z     args.clear()
2022-11-23T01:32:32.9126716Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9126888Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9126955Z     del arg0_1
2022-11-23T01:32:32.9127029Z     del arg1_1
2022-11-23T01:32:32.9127107Z     return (buf0, )
2022-11-23T01:32:32.9127112Z 
2022-11-23T01:32:32.9127120Z 
2022-11-23T01:32:32.9127205Z if __name__ == "__main__":
2022-11-23T01:32:32.9127328Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9127457Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9127655Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9127861Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9127976Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9127987Z 
2022-11-23T01:32:32.9128053Z ok (0.023s)
2022-11-23T01:32:32.9128403Z   test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9128719Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9128941Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9129199Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9129478Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9129796Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9130138Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9130459Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9130834Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9130935Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9131032Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9131112Z               4 BINARY_ADD
2022-11-23T01:32:32.9131207Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9131289Z               8 RETURN_VALUE
2022-11-23T01:32:32.9131355Z  
2022-11-23T01:32:32.9131361Z 
2022-11-23T01:32:32.9131672Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9131918Z [2022-11-23 01:31:16,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9132163Z [2022-11-23 01:31:16,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9132440Z [2022-11-23 01:31:16,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9132708Z [2022-11-23 01:31:16,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9132983Z [2022-11-23 01:31:16,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9133395Z [2022-11-23 01:31:16,616] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9133643Z [2022-11-23 01:31:16,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9133884Z [2022-11-23 01:31:16,616] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9134143Z [2022-11-23 01:31:16,617] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9134400Z [2022-11-23 01:31:16,620] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9134588Z [2022-11-23 01:31:16,621] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9134730Z  __compiled_fn_928 <eval_with_key>.5698 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9134824Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9134919Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9135102Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9135202Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9135208Z 
2022-11-23T01:32:32.9135544Z [2022-11-23 01:31:16,621] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9135645Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9135736Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9135830Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9135933Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9136025Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9136120Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9136201Z              12 RETURN_VALUE
2022-11-23T01:32:32.9136206Z 
2022-11-23T01:32:32.9136271Z  
2022-11-23T01:32:32.9136588Z [2022-11-23 01:31:16,621] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9136709Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_928)
2022-11-23T01:32:32.9136807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9136907Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9136990Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9137086Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9137180Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9137265Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9137353Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9137466Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9137575Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9137670Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9137753Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9137846Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9137929Z              26 RETURN_VALUE
2022-11-23T01:32:32.9137934Z 
2022-11-23T01:32:32.9137993Z  
2022-11-23T01:32:32.9138181Z [2022-11-23 01:31:16,622] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9138287Z  - 
2022-11-23T01:32:32.9138413Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9138482Z             {
2022-11-23T01:32:32.9138628Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9138948Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9139117Z                 'obj_weakref': None
2022-11-23T01:32:32.9139348Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9139418Z             }
2022-11-23T01:32:32.9139486Z             
2022-11-23T01:32:32.9139562Z  - 
2022-11-23T01:32:32.9139691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9139763Z             {
2022-11-23T01:32:32.9139904Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9140017Z                 'code': None,
2022-11-23T01:32:32.9140235Z                 'obj_weakref': <weakref at 0x7f1f259eb3d0; to 'Tensor' at 0x7f1fead93790>
2022-11-23T01:32:32.9140489Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9140559Z             }
2022-11-23T01:32:32.9140632Z             
2022-11-23T01:32:32.9140707Z  - 
2022-11-23T01:32:32.9140828Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9140903Z             {
2022-11-23T01:32:32.9141054Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9141165Z                 'code': None,
2022-11-23T01:32:32.9141377Z                 'obj_weakref': <weakref at 0x7f1f259ead40; to 'Tensor' at 0x7f202320cea0>
2022-11-23T01:32:32.9141626Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9141695Z             }
2022-11-23T01:32:32.9141756Z             
2022-11-23T01:32:32.9141831Z  - 
2022-11-23T01:32:32.9141965Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9142032Z             {
2022-11-23T01:32:32.9142175Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9142351Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9142475Z                 'obj_weakref': None
2022-11-23T01:32:32.9142703Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9142776Z             }
2022-11-23T01:32:32.9142844Z             
2022-11-23T01:32:32.9142920Z  - 
2022-11-23T01:32:32.9143046Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9143114Z             {
2022-11-23T01:32:32.9143257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9143470Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9143593Z                 'obj_weakref': None
2022-11-23T01:32:32.9143819Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9143889Z             }
2022-11-23T01:32:32.9143957Z             
2022-11-23T01:32:32.9144222Z [2022-11-23 01:31:16,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 910
2022-11-23T01:32:32.9144598Z [2022-11-23 01:31:18,157] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ay/cayahxopnwapiqtmuzzsu3cscbcv3yiyoqmehd2sjffqx3ikmbde.py
2022-11-23T01:32:32.9144872Z [2022-11-23 01:31:18,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 910
2022-11-23T01:32:32.9144877Z 
2022-11-23T01:32:32.9144971Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9145046Z import torch
2022-11-23T01:32:32.9145121Z import random
2022-11-23T01:32:32.9145243Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9145370Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9145375Z 
2022-11-23T01:32:32.9145457Z aten = torch.ops.aten
2022-11-23T01:32:32.9145596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9145727Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9145740Z 
2022-11-23T01:32:32.9145809Z import triton
2022-11-23T01:32:32.9145903Z import triton.language as tl
2022-11-23T01:32:32.9146033Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9146176Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9146201Z 
2022-11-23T01:32:32.9146206Z 
2022-11-23T01:32:32.9146346Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9146556Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9146683Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9146793Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9146892Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9146958Z {
2022-11-23T01:32:32.9147025Z     {
2022-11-23T01:32:32.9147095Z         {
2022-11-23T01:32:32.9147186Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9147277Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.9147361Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9147444Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:32.9147518Z         }
2022-11-23T01:32:32.9147590Z     }
2022-11-23T01:32:32.9147660Z }
2022-11-23T01:32:32.9147745Z ''')
2022-11-23T01:32:32.9147750Z 
2022-11-23T01:32:32.9147755Z 
2022-11-23T01:32:32.9147849Z async_compile.wait(globals())
2022-11-23T01:32:32.9147921Z del async_compile
2022-11-23T01:32:32.9147931Z 
2022-11-23T01:32:32.9148000Z def call(args):
2022-11-23T01:32:32.9148079Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9148155Z     args.clear()
2022-11-23T01:32:32.9148349Z     buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9148522Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9148595Z     del arg0_1
2022-11-23T01:32:32.9148668Z     del arg1_1
2022-11-23T01:32:32.9148740Z     return (buf0, )
2022-11-23T01:32:32.9148745Z 
2022-11-23T01:32:32.9148750Z 
2022-11-23T01:32:32.9148830Z if __name__ == "__main__":
2022-11-23T01:32:32.9148950Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9149080Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9149278Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9149470Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9149592Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9149597Z 
2022-11-23T01:32:32.9149670Z ok (1.548s)
2022-11-23T01:32:32.9150001Z   test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9150389Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9150652Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9150916Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9151202Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9151524Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9151872Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9152198Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9152618Z [2022-11-23 01:31:18,162] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9152720Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9152832Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9152912Z               4 BINARY_ADD
2022-11-23T01:32:32.9153008Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9153090Z               8 RETURN_VALUE
2022-11-23T01:32:32.9153158Z  
2022-11-23T01:32:32.9153163Z 
2022-11-23T01:32:32.9153482Z [2022-11-23 01:31:18,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9153698Z [2022-11-23 01:31:18,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9153941Z [2022-11-23 01:31:18,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9154211Z [2022-11-23 01:31:18,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9154457Z [2022-11-23 01:31:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9154710Z [2022-11-23 01:31:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9155094Z [2022-11-23 01:31:18,164] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9155341Z [2022-11-23 01:31:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9155579Z [2022-11-23 01:31:18,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9155837Z [2022-11-23 01:31:18,165] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9156092Z [2022-11-23 01:31:18,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9156286Z [2022-11-23 01:31:18,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9156424Z  __compiled_fn_929 <eval_with_key>.5704 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9156520Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9156613Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9156796Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9156895Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9156900Z 
2022-11-23T01:32:32.9157229Z [2022-11-23 01:31:18,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9157331Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9157430Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9157517Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9157619Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9157712Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9157810Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9157895Z              12 RETURN_VALUE
2022-11-23T01:32:32.9157900Z 
2022-11-23T01:32:32.9157966Z  
2022-11-23T01:32:32.9158288Z [2022-11-23 01:31:18,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9158405Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_929)
2022-11-23T01:32:32.9158496Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9158592Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9158673Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9158768Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9158889Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9158971Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9159065Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9159171Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9159299Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9159394Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9159475Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9159570Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9159652Z              26 RETURN_VALUE
2022-11-23T01:32:32.9159657Z 
2022-11-23T01:32:32.9159721Z  
2022-11-23T01:32:32.9159902Z [2022-11-23 01:31:18,168] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9159978Z  - 
2022-11-23T01:32:32.9160101Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9160171Z             {
2022-11-23T01:32:32.9160314Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9160507Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9160630Z                 'obj_weakref': None
2022-11-23T01:32:32.9160847Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9160920Z             }
2022-11-23T01:32:32.9160989Z             
2022-11-23T01:32:32.9161065Z  - 
2022-11-23T01:32:32.9161194Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9161262Z             {
2022-11-23T01:32:32.9161409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9161514Z                 'code': None,
2022-11-23T01:32:32.9161723Z                 'obj_weakref': <weakref at 0x7f21159e9b20; to 'Tensor' at 0x7f20606bbc40>
2022-11-23T01:32:32.9161971Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9162039Z             }
2022-11-23T01:32:32.9162107Z             
2022-11-23T01:32:32.9162182Z  - 
2022-11-23T01:32:32.9162312Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9162373Z             {
2022-11-23T01:32:32.9162520Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9162631Z                 'code': None,
2022-11-23T01:32:32.9162843Z                 'obj_weakref': <weakref at 0x7f20680804f0; to 'Tensor' at 0x7f1fead93790>
2022-11-23T01:32:32.9163118Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9163188Z             }
2022-11-23T01:32:32.9163269Z             
2022-11-23T01:32:32.9163349Z  - 
2022-11-23T01:32:32.9163484Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9163553Z             {
2022-11-23T01:32:32.9163694Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9163868Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9163992Z                 'obj_weakref': None
2022-11-23T01:32:32.9164227Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9164289Z             }
2022-11-23T01:32:32.9164358Z             
2022-11-23T01:32:32.9164433Z  - 
2022-11-23T01:32:32.9164561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9164631Z             {
2022-11-23T01:32:32.9164772Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9164992Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9165108Z                 'obj_weakref': None
2022-11-23T01:32:32.9165333Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9165403Z             }
2022-11-23T01:32:32.9165470Z             
2022-11-23T01:32:32.9165735Z [2022-11-23 01:31:18,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 911
2022-11-23T01:32:32.9166157Z [2022-11-23 01:31:19,718] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ng/cngmj3t3oxq2wuzqj2lxemjubcbd6dk54hjhsocfvaykzlkpgoiv.py
2022-11-23T01:32:32.9166430Z [2022-11-23 01:31:19,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 911
2022-11-23T01:32:32.9166436Z 
2022-11-23T01:32:32.9166558Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9166626Z import torch
2022-11-23T01:32:32.9166700Z import random
2022-11-23T01:32:32.9166823Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9166949Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9166954Z 
2022-11-23T01:32:32.9167037Z aten = torch.ops.aten
2022-11-23T01:32:32.9167177Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9167273Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9167278Z 
2022-11-23T01:32:32.9167353Z import triton
2022-11-23T01:32:32.9167440Z import triton.language as tl
2022-11-23T01:32:32.9167566Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9167711Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9167716Z 
2022-11-23T01:32:32.9167721Z 
2022-11-23T01:32:32.9167860Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9168070Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9168201Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9168317Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9168423Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9168483Z {
2022-11-23T01:32:32.9168589Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9168655Z     {
2022-11-23T01:32:32.9168736Z         #pragma omp for 
2022-11-23T01:32:32.9168825Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:32.9168896Z         {
2022-11-23T01:32:32.9169028Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:32.9169164Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.9169257Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9169356Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9169425Z         }
2022-11-23T01:32:32.9169524Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9169616Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:32.9169684Z         {
2022-11-23T01:32:32.9169767Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9169857Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9169946Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9170031Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9170098Z         }
2022-11-23T01:32:32.9170165Z     }
2022-11-23T01:32:32.9170224Z }
2022-11-23T01:32:32.9170309Z ''')
2022-11-23T01:32:32.9170314Z 
2022-11-23T01:32:32.9170319Z 
2022-11-23T01:32:32.9170411Z async_compile.wait(globals())
2022-11-23T01:32:32.9170488Z del async_compile
2022-11-23T01:32:32.9170493Z 
2022-11-23T01:32:32.9170571Z def call(args):
2022-11-23T01:32:32.9170652Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9170734Z     args.clear()
2022-11-23T01:32:32.9170937Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9171102Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9171180Z     del arg0_1
2022-11-23T01:32:32.9171251Z     del arg1_1
2022-11-23T01:32:32.9171328Z     return (buf0, )
2022-11-23T01:32:32.9171334Z 
2022-11-23T01:32:32.9171338Z 
2022-11-23T01:32:32.9171419Z if __name__ == "__main__":
2022-11-23T01:32:32.9171540Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9171670Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9171862Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9172057Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9172211Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9172217Z 
2022-11-23T01:32:32.9172291Z ok (1.560s)
2022-11-23T01:32:32.9172636Z   test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9172996Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9173241Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9173495Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9173773Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9174093Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9174426Z [2022-11-23 01:31:19,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9174746Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9175121Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9175220Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9175317Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9175397Z               4 BINARY_ADD
2022-11-23T01:32:32.9175491Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9175573Z               8 RETURN_VALUE
2022-11-23T01:32:32.9175635Z  
2022-11-23T01:32:32.9175640Z 
2022-11-23T01:32:32.9175948Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9176163Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9176404Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9176685Z [2022-11-23 01:31:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9176931Z [2022-11-23 01:31:19,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9177184Z [2022-11-23 01:31:19,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9177573Z [2022-11-23 01:31:19,724] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9177818Z [2022-11-23 01:31:19,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9178056Z [2022-11-23 01:31:19,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9178303Z [2022-11-23 01:31:19,725] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9178554Z [2022-11-23 01:31:19,727] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9178747Z [2022-11-23 01:31:19,728] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9179080Z  __compiled_fn_930 <eval_with_key>.5710 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9179178Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9179271Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9179501Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9179604Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9179610Z 
2022-11-23T01:32:32.9179927Z [2022-11-23 01:31:19,728] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9180059Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9180158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9180254Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9180354Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9180449Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9180544Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9180625Z              12 RETURN_VALUE
2022-11-23T01:32:32.9180631Z 
2022-11-23T01:32:32.9180689Z  
2022-11-23T01:32:32.9181011Z [2022-11-23 01:31:19,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9181130Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_930)
2022-11-23T01:32:32.9181226Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9181329Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9181412Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9181507Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9181594Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9181674Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9181767Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9181879Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9181988Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9182086Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9182168Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9182258Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9182339Z              26 RETURN_VALUE
2022-11-23T01:32:32.9182344Z 
2022-11-23T01:32:32.9182410Z  
2022-11-23T01:32:32.9182596Z [2022-11-23 01:31:19,729] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9182676Z  - 
2022-11-23T01:32:32.9182799Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9182869Z             {
2022-11-23T01:32:32.9183006Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9183195Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9183318Z                 'obj_weakref': None
2022-11-23T01:32:32.9183540Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9183609Z             }
2022-11-23T01:32:32.9183677Z             
2022-11-23T01:32:32.9183753Z  - 
2022-11-23T01:32:32.9183875Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9183944Z             {
2022-11-23T01:32:32.9184091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9184202Z                 'code': None,
2022-11-23T01:32:32.9184414Z                 'obj_weakref': <weakref at 0x7f1fd81982c0; to 'Tensor' at 0x7f20606bbc40>
2022-11-23T01:32:32.9184663Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9184734Z             }
2022-11-23T01:32:32.9184801Z             
2022-11-23T01:32:32.9184870Z  - 
2022-11-23T01:32:32.9184996Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9185063Z             {
2022-11-23T01:32:32.9185208Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9185320Z                 'code': None,
2022-11-23T01:32:32.9185528Z                 'obj_weakref': <weakref at 0x7f1f25eaa020; to 'Tensor' at 0x7f2115af4720>
2022-11-23T01:32:32.9185778Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9185872Z             }
2022-11-23T01:32:32.9185942Z             
2022-11-23T01:32:32.9186017Z  - 
2022-11-23T01:32:32.9186158Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9186227Z             {
2022-11-23T01:32:32.9186371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9186565Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9186683Z                 'obj_weakref': None
2022-11-23T01:32:32.9186912Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9186980Z             }
2022-11-23T01:32:32.9187050Z             
2022-11-23T01:32:32.9187125Z  - 
2022-11-23T01:32:32.9187250Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9187312Z             {
2022-11-23T01:32:32.9187452Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9187674Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9187804Z                 'obj_weakref': None
2022-11-23T01:32:32.9188033Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9188104Z             }
2022-11-23T01:32:32.9188172Z             
2022-11-23T01:32:32.9188437Z [2022-11-23 01:31:19,732] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 912
2022-11-23T01:32:32.9188790Z [2022-11-23 01:31:21,321] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xf/cxftdzed6f2nx4e2ifz3ue4fziixazza5k4pgqifyu4b3c5esi7y.py
2022-11-23T01:32:32.9189054Z [2022-11-23 01:31:21,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 912
2022-11-23T01:32:32.9189060Z 
2022-11-23T01:32:32.9189160Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9189233Z import torch
2022-11-23T01:32:32.9189308Z import random
2022-11-23T01:32:32.9189427Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9189556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9189561Z 
2022-11-23T01:32:32.9189648Z aten = torch.ops.aten
2022-11-23T01:32:32.9189781Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9189880Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9189888Z 
2022-11-23T01:32:32.9189963Z import triton
2022-11-23T01:32:32.9190058Z import triton.language as tl
2022-11-23T01:32:32.9190185Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9190407Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9190414Z 
2022-11-23T01:32:32.9190419Z 
2022-11-23T01:32:32.9190578Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9190790Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9190909Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9191028Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9191138Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9191204Z {
2022-11-23T01:32:32.9191306Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9191373Z     {
2022-11-23T01:32:32.9191456Z         #pragma omp for 
2022-11-23T01:32:32.9191541Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:32.9191611Z         {
2022-11-23T01:32:32.9191681Z             {
2022-11-23T01:32:32.9191752Z                 {
2022-11-23T01:32:32.9191851Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9191952Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:32.9192067Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.9192158Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9192250Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9192320Z                 }
2022-11-23T01:32:32.9192389Z             }
2022-11-23T01:32:32.9192456Z         }
2022-11-23T01:32:32.9192523Z     }
2022-11-23T01:32:32.9192616Z }
2022-11-23T01:32:32.9192705Z ''')
2022-11-23T01:32:32.9192710Z 
2022-11-23T01:32:32.9192715Z 
2022-11-23T01:32:32.9192810Z async_compile.wait(globals())
2022-11-23T01:32:32.9192886Z del async_compile
2022-11-23T01:32:32.9192891Z 
2022-11-23T01:32:32.9192969Z def call(args):
2022-11-23T01:32:32.9193078Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9193157Z     args.clear()
2022-11-23T01:32:32.9193360Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9193524Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9193600Z     del arg0_1
2022-11-23T01:32:32.9193672Z     del arg1_1
2022-11-23T01:32:32.9193749Z     return (buf0, )
2022-11-23T01:32:32.9193755Z 
2022-11-23T01:32:32.9193759Z 
2022-11-23T01:32:32.9193840Z if __name__ == "__main__":
2022-11-23T01:32:32.9193960Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9194092Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9194288Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9194482Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9194605Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9194613Z 
2022-11-23T01:32:32.9194686Z ok (1.603s)
2022-11-23T01:32:32.9195021Z   test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:21,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9195335Z [2022-11-23 01:31:21,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9195554Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9195811Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9196092Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9196412Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9196755Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9197082Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9197465Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9197564Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9197665Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9197745Z               4 BINARY_ADD
2022-11-23T01:32:32.9197841Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9197923Z               8 RETURN_VALUE
2022-11-23T01:32:32.9197986Z  
2022-11-23T01:32:32.9197997Z 
2022-11-23T01:32:32.9198307Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9198522Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9198763Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9199038Z [2022-11-23 01:31:21,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9199321Z [2022-11-23 01:31:21,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9199573Z [2022-11-23 01:31:21,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9199958Z [2022-11-23 01:31:21,328] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9200232Z [2022-11-23 01:31:21,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9200476Z [2022-11-23 01:31:21,328] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9200727Z [2022-11-23 01:31:21,329] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9200982Z [2022-11-23 01:31:21,331] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9201179Z [2022-11-23 01:31:21,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9201322Z  __compiled_fn_931 <eval_with_key>.5716 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9201416Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9201511Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9201698Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9201801Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9201807Z 
2022-11-23T01:32:32.9202131Z [2022-11-23 01:31:21,332] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9202232Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9202331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9202427Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9202527Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9202620Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9202717Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9202799Z              12 RETURN_VALUE
2022-11-23T01:32:32.9202804Z 
2022-11-23T01:32:32.9202863Z  
2022-11-23T01:32:32.9203221Z [2022-11-23 01:31:21,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9203354Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_931)
2022-11-23T01:32:32.9203452Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9203548Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9203632Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9203726Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9203814Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9203896Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9203992Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9204106Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9204217Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9204314Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9204394Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9204481Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9204566Z              26 RETURN_VALUE
2022-11-23T01:32:32.9204570Z 
2022-11-23T01:32:32.9204635Z  
2022-11-23T01:32:32.9204823Z [2022-11-23 01:31:21,333] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9204898Z  - 
2022-11-23T01:32:32.9205022Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9205091Z             {
2022-11-23T01:32:32.9205230Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9205425Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9205554Z                 'obj_weakref': None
2022-11-23T01:32:32.9205809Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9205881Z             }
2022-11-23T01:32:32.9205950Z             
2022-11-23T01:32:32.9206027Z  - 
2022-11-23T01:32:32.9206150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9206220Z             {
2022-11-23T01:32:32.9206366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9206502Z                 'code': None,
2022-11-23T01:32:32.9206717Z                 'obj_weakref': <weakref at 0x7f1f25e9d080; to 'Tensor' at 0x7f2000fe5210>
2022-11-23T01:32:32.9206966Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9207038Z             }
2022-11-23T01:32:32.9207106Z             
2022-11-23T01:32:32.9207175Z  - 
2022-11-23T01:32:32.9207303Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9207373Z             {
2022-11-23T01:32:32.9207523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9207637Z                 'code': None,
2022-11-23T01:32:32.9207851Z                 'obj_weakref': <weakref at 0x7f1f25e9dfd0; to 'Tensor' at 0x7f20606bbc40>
2022-11-23T01:32:32.9208108Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9208170Z             }
2022-11-23T01:32:32.9208244Z             
2022-11-23T01:32:32.9208322Z  - 
2022-11-23T01:32:32.9208460Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9208529Z             {
2022-11-23T01:32:32.9208669Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9208843Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9208961Z                 'obj_weakref': None
2022-11-23T01:32:32.9209192Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9209260Z             }
2022-11-23T01:32:32.9209328Z             
2022-11-23T01:32:32.9209404Z  - 
2022-11-23T01:32:32.9209534Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9209596Z             {
2022-11-23T01:32:32.9209737Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9209957Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9210084Z                 'obj_weakref': None
2022-11-23T01:32:32.9210309Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9210377Z             }
2022-11-23T01:32:32.9210446Z             
2022-11-23T01:32:32.9210712Z [2022-11-23 01:31:21,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 913
2022-11-23T01:32:32.9211072Z [2022-11-23 01:31:22,879] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6vorr4ntoccna6miz676qtbsqaj3wrzhw7x3bbpsaprzmcjyyn.py
2022-11-23T01:32:32.9211342Z [2022-11-23 01:31:22,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 913
2022-11-23T01:32:32.9211350Z 
2022-11-23T01:32:32.9211448Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9211526Z import torch
2022-11-23T01:32:32.9211599Z import random
2022-11-23T01:32:32.9211722Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9211850Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9211858Z 
2022-11-23T01:32:32.9211947Z aten = torch.ops.aten
2022-11-23T01:32:32.9212080Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9212179Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9212184Z 
2022-11-23T01:32:32.9212258Z import triton
2022-11-23T01:32:32.9212351Z import triton.language as tl
2022-11-23T01:32:32.9212479Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9212624Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9212629Z 
2022-11-23T01:32:32.9212634Z 
2022-11-23T01:32:32.9212771Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9213040Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9213181Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9213291Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9213417Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9213490Z {
2022-11-23T01:32:32.9213597Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9213667Z     {
2022-11-23T01:32:32.9213749Z         #pragma omp for 
2022-11-23T01:32:32.9213831Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9213903Z         {
2022-11-23T01:32:32.9213971Z             {
2022-11-23T01:32:32.9214040Z                 {
2022-11-23T01:32:32.9214137Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9214236Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9214350Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:32.9214443Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9214534Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9214604Z                 }
2022-11-23T01:32:32.9214671Z             }
2022-11-23T01:32:32.9214739Z         }
2022-11-23T01:32:32.9214807Z     }
2022-11-23T01:32:32.9214865Z }
2022-11-23T01:32:32.9214959Z ''')
2022-11-23T01:32:32.9214964Z 
2022-11-23T01:32:32.9214968Z 
2022-11-23T01:32:32.9215061Z async_compile.wait(globals())
2022-11-23T01:32:32.9215138Z del async_compile
2022-11-23T01:32:32.9215143Z 
2022-11-23T01:32:32.9215219Z def call(args):
2022-11-23T01:32:32.9215299Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9215375Z     args.clear()
2022-11-23T01:32:32.9215573Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9215737Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9215810Z     del arg0_1
2022-11-23T01:32:32.9215883Z     del arg1_1
2022-11-23T01:32:32.9215960Z     return (buf0, )
2022-11-23T01:32:32.9215967Z 
2022-11-23T01:32:32.9215972Z 
2022-11-23T01:32:32.9216056Z if __name__ == "__main__":
2022-11-23T01:32:32.9216174Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9216303Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9216505Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9216694Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9216815Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9216821Z 
2022-11-23T01:32:32.9216893Z ok (1.558s)
2022-11-23T01:32:32.9217237Z   test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9217561Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9217785Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9218043Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9218322Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9218639Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9219097Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9219420Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9219850Z [2022-11-23 01:31:22,885] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9219953Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9220052Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9220161Z               4 BINARY_ADD
2022-11-23T01:32:32.9220258Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9220341Z               8 RETURN_VALUE
2022-11-23T01:32:32.9220401Z  
2022-11-23T01:32:32.9220406Z 
2022-11-23T01:32:32.9220715Z [2022-11-23 01:31:22,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9220930Z [2022-11-23 01:31:22,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9221168Z [2022-11-23 01:31:22,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9221446Z [2022-11-23 01:31:22,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9221688Z [2022-11-23 01:31:22,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9221938Z [2022-11-23 01:31:22,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9222313Z [2022-11-23 01:31:22,887] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9222559Z [2022-11-23 01:31:22,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9222794Z [2022-11-23 01:31:22,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9223046Z [2022-11-23 01:31:22,888] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9223297Z [2022-11-23 01:31:22,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9223489Z [2022-11-23 01:31:22,891] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9223632Z  __compiled_fn_932 <eval_with_key>.5722 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9223728Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9223820Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9224001Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9224103Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9224109Z 
2022-11-23T01:32:32.9224433Z [2022-11-23 01:31:22,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9224536Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9224635Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9224732Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9224833Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9224925Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9225023Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9225108Z              12 RETURN_VALUE
2022-11-23T01:32:32.9225113Z 
2022-11-23T01:32:32.9225173Z  
2022-11-23T01:32:32.9225492Z [2022-11-23 01:31:22,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9225610Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_932)
2022-11-23T01:32:32.9225707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9225804Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9225887Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9225983Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9226097Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9226181Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9226277Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9226391Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9226529Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9226627Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9226709Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9226797Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9226880Z              26 RETURN_VALUE
2022-11-23T01:32:32.9226885Z 
2022-11-23T01:32:32.9226952Z  
2022-11-23T01:32:32.9227140Z [2022-11-23 01:31:22,892] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9227216Z  - 
2022-11-23T01:32:32.9227341Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9227411Z             {
2022-11-23T01:32:32.9227550Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9227745Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9227872Z                 'obj_weakref': None
2022-11-23T01:32:32.9228098Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9228170Z             }
2022-11-23T01:32:32.9228239Z             
2022-11-23T01:32:32.9228317Z  - 
2022-11-23T01:32:32.9228439Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9228509Z             {
2022-11-23T01:32:32.9228657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9228770Z                 'code': None,
2022-11-23T01:32:32.9228984Z                 'obj_weakref': <weakref at 0x7f1f25ee98a0; to 'Tensor' at 0x7f20682feb60>
2022-11-23T01:32:32.9229232Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9229301Z             }
2022-11-23T01:32:32.9229370Z             
2022-11-23T01:32:32.9229440Z  - 
2022-11-23T01:32:32.9229574Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9229646Z             {
2022-11-23T01:32:32.9229794Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9229906Z                 'code': None,
2022-11-23T01:32:32.9230117Z                 'obj_weakref': <weakref at 0x7f1f259cb9c0; to 'Tensor' at 0x7f206826f2e0>
2022-11-23T01:32:32.9230447Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9230522Z             }
2022-11-23T01:32:32.9230607Z             
2022-11-23T01:32:32.9230695Z  - 
2022-11-23T01:32:32.9230832Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9230901Z             {
2022-11-23T01:32:32.9231042Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9231217Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9231335Z                 'obj_weakref': None
2022-11-23T01:32:32.9231570Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9231639Z             }
2022-11-23T01:32:32.9231709Z             
2022-11-23T01:32:32.9231785Z  - 
2022-11-23T01:32:32.9231912Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9231978Z             {
2022-11-23T01:32:32.9232120Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9232339Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9232462Z                 'obj_weakref': None
2022-11-23T01:32:32.9232685Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9232753Z             }
2022-11-23T01:32:32.9232822Z             
2022-11-23T01:32:32.9233088Z [2022-11-23 01:31:22,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 914
2022-11-23T01:32:32.9233481Z [2022-11-23 01:31:24,428] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cviyn4ismv6k4n2jkr7jwuhchegtnwx2o6sb2jvu3rsfrnb5z2wl.py
2022-11-23T01:32:32.9233752Z [2022-11-23 01:31:24,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 914
2022-11-23T01:32:32.9233758Z 
2022-11-23T01:32:32.9233880Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9233957Z import torch
2022-11-23T01:32:32.9234034Z import random
2022-11-23T01:32:32.9234156Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9234283Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9234288Z 
2022-11-23T01:32:32.9234373Z aten = torch.ops.aten
2022-11-23T01:32:32.9234507Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9234605Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9234610Z 
2022-11-23T01:32:32.9234683Z import triton
2022-11-23T01:32:32.9234777Z import triton.language as tl
2022-11-23T01:32:32.9234905Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9235051Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9235056Z 
2022-11-23T01:32:32.9235061Z 
2022-11-23T01:32:32.9235201Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9235415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9235538Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9235651Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9235757Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9235826Z {
2022-11-23T01:32:32.9235930Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9236000Z     {
2022-11-23T01:32:32.9236097Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9236178Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9236246Z         {
2022-11-23T01:32:32.9236338Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9236412Z             {
2022-11-23T01:32:32.9236488Z                 {
2022-11-23T01:32:32.9236560Z                     {
2022-11-23T01:32:32.9236665Z                         auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9236771Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9236876Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9236980Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9237054Z                     }
2022-11-23T01:32:32.9237124Z                 }
2022-11-23T01:32:32.9237192Z             }
2022-11-23T01:32:32.9237260Z         }
2022-11-23T01:32:32.9237322Z     }
2022-11-23T01:32:32.9237387Z }
2022-11-23T01:32:32.9237475Z ''')
2022-11-23T01:32:32.9237481Z 
2022-11-23T01:32:32.9237485Z 
2022-11-23T01:32:32.9237581Z async_compile.wait(globals())
2022-11-23T01:32:32.9237659Z del async_compile
2022-11-23T01:32:32.9237664Z 
2022-11-23T01:32:32.9237741Z def call(args):
2022-11-23T01:32:32.9237822Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9237895Z     args.clear()
2022-11-23T01:32:32.9238098Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9238268Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9238347Z     del arg0_1
2022-11-23T01:32:32.9238419Z     del arg1_1
2022-11-23T01:32:32.9238497Z     return (buf0, )
2022-11-23T01:32:32.9238503Z 
2022-11-23T01:32:32.9238507Z 
2022-11-23T01:32:32.9238588Z if __name__ == "__main__":
2022-11-23T01:32:32.9238702Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9238832Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9239026Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9239227Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9239352Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9239357Z 
2022-11-23T01:32:32.9239457Z ok (1.549s)
2022-11-23T01:32:32.9239808Z   test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9240126Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9240372Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9240620Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9240898Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9241217Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9241568Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9241895Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9242280Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9242380Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9242479Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9242557Z               4 BINARY_ADD
2022-11-23T01:32:32.9242646Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9242728Z               8 RETURN_VALUE
2022-11-23T01:32:32.9242796Z  
2022-11-23T01:32:32.9242801Z 
2022-11-23T01:32:32.9243143Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9243386Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9243630Z [2022-11-23 01:31:24,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9243909Z [2022-11-23 01:31:24,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9244156Z [2022-11-23 01:31:24,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9244408Z [2022-11-23 01:31:24,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9244791Z [2022-11-23 01:31:24,437] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9245041Z [2022-11-23 01:31:24,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9245280Z [2022-11-23 01:31:24,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9245541Z [2022-11-23 01:31:24,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9245799Z [2022-11-23 01:31:24,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9245993Z [2022-11-23 01:31:24,441] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9246137Z  __compiled_fn_933 <eval_with_key>.5728 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9246232Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9246326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9246502Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9246639Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9246646Z 
2022-11-23T01:32:32.9246978Z [2022-11-23 01:31:24,441] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9247079Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9247199Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9247294Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9247395Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9247487Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9247576Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9247659Z              12 RETURN_VALUE
2022-11-23T01:32:32.9247664Z 
2022-11-23T01:32:32.9247732Z  
2022-11-23T01:32:32.9248057Z [2022-11-23 01:31:24,441] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9248177Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_933)
2022-11-23T01:32:32.9248274Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9248371Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9248448Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9248548Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9248646Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9248728Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9248823Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9248935Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9249045Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9249136Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9249219Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9249313Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9249395Z              26 RETURN_VALUE
2022-11-23T01:32:32.9249402Z 
2022-11-23T01:32:32.9249468Z  
2022-11-23T01:32:32.9249658Z [2022-11-23 01:31:24,442] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9249734Z  - 
2022-11-23T01:32:32.9249861Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9249924Z             {
2022-11-23T01:32:32.9250075Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9250268Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9250393Z                 'obj_weakref': None
2022-11-23T01:32:32.9250622Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9250694Z             }
2022-11-23T01:32:32.9250762Z             
2022-11-23T01:32:32.9250832Z  - 
2022-11-23T01:32:32.9250961Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9251030Z             {
2022-11-23T01:32:32.9251177Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9251292Z                 'code': None,
2022-11-23T01:32:32.9251507Z                 'obj_weakref': <weakref at 0x7f2151f196c0; to 'Tensor' at 0x7f20682feb60>
2022-11-23T01:32:32.9251761Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9251827Z             }
2022-11-23T01:32:32.9251896Z             
2022-11-23T01:32:32.9251972Z  - 
2022-11-23T01:32:32.9252100Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9252171Z             {
2022-11-23T01:32:32.9252318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9252424Z                 'code': None,
2022-11-23T01:32:32.9252642Z                 'obj_weakref': <weakref at 0x7f1f25e9eb60; to 'Tensor' at 0x7f1f259ca570>
2022-11-23T01:32:32.9252909Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9252989Z             }
2022-11-23T01:32:32.9253066Z             
2022-11-23T01:32:32.9253158Z  - 
2022-11-23T01:32:32.9253326Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9253397Z             {
2022-11-23T01:32:32.9253532Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9253707Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9253854Z                 'obj_weakref': None
2022-11-23T01:32:32.9254091Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9254162Z             }
2022-11-23T01:32:32.9254232Z             
2022-11-23T01:32:32.9254308Z  - 
2022-11-23T01:32:32.9254429Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9254498Z             {
2022-11-23T01:32:32.9254640Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9254863Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9254987Z                 'obj_weakref': None
2022-11-23T01:32:32.9255218Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9255288Z             }
2022-11-23T01:32:32.9255350Z             
2022-11-23T01:32:32.9255616Z [2022-11-23 01:31:24,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 915
2022-11-23T01:32:32.9255989Z [2022-11-23 01:31:24,454] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5g/c5gf42hcpaaucwxf2isaet2xapstool2iyy26if5dcizggzfvbse.py
2022-11-23T01:32:32.9256262Z [2022-11-23 01:31:24,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 915
2022-11-23T01:32:32.9256268Z 
2022-11-23T01:32:32.9256369Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9256444Z import torch
2022-11-23T01:32:32.9256519Z import random
2022-11-23T01:32:32.9256641Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9256763Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9256768Z 
2022-11-23T01:32:32.9256853Z aten = torch.ops.aten
2022-11-23T01:32:32.9256994Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9257093Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9257098Z 
2022-11-23T01:32:32.9257176Z import triton
2022-11-23T01:32:32.9257271Z import triton.language as tl
2022-11-23T01:32:32.9257404Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9257542Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9257555Z 
2022-11-23T01:32:32.9257559Z 
2022-11-23T01:32:32.9257692Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9257903Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9258030Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9258145Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9258252Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9258319Z {
2022-11-23T01:32:32.9258425Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9258486Z     {
2022-11-23T01:32:32.9258570Z         #pragma omp for 
2022-11-23T01:32:32.9258661Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:32.9258731Z         {
2022-11-23T01:32:32.9259049Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:32.9259192Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.9259283Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9259374Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9259443Z         }
2022-11-23T01:32:32.9259546Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9259635Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:32.9259704Z         {
2022-11-23T01:32:32.9259794Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:32.9259884Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9259966Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9260099Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9260169Z         }
2022-11-23T01:32:32.9260240Z     }
2022-11-23T01:32:32.9260305Z }
2022-11-23T01:32:32.9260395Z ''')
2022-11-23T01:32:32.9260403Z 
2022-11-23T01:32:32.9260408Z 
2022-11-23T01:32:32.9260502Z async_compile.wait(globals())
2022-11-23T01:32:32.9260603Z del async_compile
2022-11-23T01:32:32.9260608Z 
2022-11-23T01:32:32.9260685Z def call(args):
2022-11-23T01:32:32.9260765Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9260842Z     args.clear()
2022-11-23T01:32:32.9261047Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9261220Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9261294Z     del arg0_1
2022-11-23T01:32:32.9261360Z     del arg1_1
2022-11-23T01:32:32.9261438Z     return (buf0, )
2022-11-23T01:32:32.9261444Z 
2022-11-23T01:32:32.9261448Z 
2022-11-23T01:32:32.9261530Z if __name__ == "__main__":
2022-11-23T01:32:32.9261655Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9261787Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9261984Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9262189Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9262311Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9262316Z 
2022-11-23T01:32:32.9262382Z ok (0.025s)
2022-11-23T01:32:32.9262724Z   test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9263040Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9263263Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9263523Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9263805Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9264130Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9264476Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9264801Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9265186Z [2022-11-23 01:31:24,458] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9265289Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9265380Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9265460Z               4 BINARY_ADD
2022-11-23T01:32:32.9265559Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9265642Z               8 RETURN_VALUE
2022-11-23T01:32:32.9265709Z  
2022-11-23T01:32:32.9265714Z 
2022-11-23T01:32:32.9266032Z [2022-11-23 01:31:24,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9266249Z [2022-11-23 01:31:24,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9266485Z [2022-11-23 01:31:24,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9266787Z [2022-11-23 01:31:24,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9267040Z [2022-11-23 01:31:24,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9267289Z [2022-11-23 01:31:24,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9267713Z [2022-11-23 01:31:24,460] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9267966Z [2022-11-23 01:31:24,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9268204Z [2022-11-23 01:31:24,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9268463Z [2022-11-23 01:31:24,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9268720Z [2022-11-23 01:31:24,463] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9268917Z [2022-11-23 01:31:24,463] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9269053Z  __compiled_fn_934 <eval_with_key>.5734 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9269150Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9269245Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9269429Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9269531Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9269536Z 
2022-11-23T01:32:32.9269861Z [2022-11-23 01:31:24,464] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9269963Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9270061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9270149Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9270328Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9270435Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9270530Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9270611Z              12 RETURN_VALUE
2022-11-23T01:32:32.9270617Z 
2022-11-23T01:32:32.9270686Z  
2022-11-23T01:32:32.9271012Z [2022-11-23 01:31:24,464] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9271135Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_934)
2022-11-23T01:32:32.9271226Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9271324Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9271407Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9271503Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9271596Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9271679Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9271776Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9271883Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9271992Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9272087Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9272174Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9272270Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9272351Z              26 RETURN_VALUE
2022-11-23T01:32:32.9272356Z 
2022-11-23T01:32:32.9272422Z  
2022-11-23T01:32:32.9272602Z [2022-11-23 01:31:24,464] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9272679Z  - 
2022-11-23T01:32:32.9272806Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9272878Z             {
2022-11-23T01:32:32.9273023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9273215Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9273372Z                 'obj_weakref': None
2022-11-23T01:32:32.9273595Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9273669Z             }
2022-11-23T01:32:32.9273739Z             
2022-11-23T01:32:32.9273816Z  - 
2022-11-23T01:32:32.9273967Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9274038Z             {
2022-11-23T01:32:32.9274186Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9274293Z                 'code': None,
2022-11-23T01:32:32.9274509Z                 'obj_weakref': <weakref at 0x7f1f25ec36a0; to 'Tensor' at 0x7f20682ad990>
2022-11-23T01:32:32.9274759Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9274828Z             }
2022-11-23T01:32:32.9274897Z             
2022-11-23T01:32:32.9274972Z  - 
2022-11-23T01:32:32.9275100Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9275162Z             {
2022-11-23T01:32:32.9275314Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9275429Z                 'code': None,
2022-11-23T01:32:32.9275645Z                 'obj_weakref': <weakref at 0x7f1f25ec3ce0; to 'Tensor' at 0x7f1fe8135850>
2022-11-23T01:32:32.9275899Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9275973Z             }
2022-11-23T01:32:32.9276041Z             
2022-11-23T01:32:32.9276111Z  - 
2022-11-23T01:32:32.9276249Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9276321Z             {
2022-11-23T01:32:32.9276462Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9276638Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9276761Z                 'obj_weakref': None
2022-11-23T01:32:32.9276993Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9277055Z             }
2022-11-23T01:32:32.9277128Z             
2022-11-23T01:32:32.9277205Z  - 
2022-11-23T01:32:32.9277334Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9277405Z             {
2022-11-23T01:32:32.9277550Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9277772Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9277889Z                 'obj_weakref': None
2022-11-23T01:32:32.9278112Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9278182Z             }
2022-11-23T01:32:32.9278252Z             
2022-11-23T01:32:32.9278511Z [2022-11-23 01:31:24,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 916
2022-11-23T01:32:32.9278880Z [2022-11-23 01:31:26,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxngv6o2crdxijjarltdzagc7xajunvglqqkzjidquujywp6mfq.py
2022-11-23T01:32:32.9279147Z [2022-11-23 01:31:26,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 916
2022-11-23T01:32:32.9279152Z 
2022-11-23T01:32:32.9279252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9279320Z import torch
2022-11-23T01:32:32.9279394Z import random
2022-11-23T01:32:32.9279522Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9279648Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9279653Z 
2022-11-23T01:32:32.9279740Z aten = torch.ops.aten
2022-11-23T01:32:32.9279882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9279980Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9279985Z 
2022-11-23T01:32:32.9280063Z import triton
2022-11-23T01:32:32.9280151Z import triton.language as tl
2022-11-23T01:32:32.9280278Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9280423Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9280428Z 
2022-11-23T01:32:32.9280466Z 
2022-11-23T01:32:32.9280607Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9280820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9280946Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9281079Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9281187Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9281247Z {
2022-11-23T01:32:32.9281351Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9281424Z     {
2022-11-23T01:32:32.9281506Z         #pragma omp for 
2022-11-23T01:32:32.9281599Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9281668Z         {
2022-11-23T01:32:32.9281751Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.9281820Z             {
2022-11-23T01:32:32.9281977Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9282128Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:32.9282223Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9282337Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9282406Z             }
2022-11-23T01:32:32.9282507Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.9282592Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.9282661Z             {
2022-11-23T01:32:32.9282766Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9282857Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9282950Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9283070Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9283144Z             }
2022-11-23T01:32:32.9283222Z         }
2022-11-23T01:32:32.9283299Z     }
2022-11-23T01:32:32.9283366Z }
2022-11-23T01:32:32.9283453Z ''')
2022-11-23T01:32:32.9283459Z 
2022-11-23T01:32:32.9283463Z 
2022-11-23T01:32:32.9283565Z async_compile.wait(globals())
2022-11-23T01:32:32.9283644Z del async_compile
2022-11-23T01:32:32.9283650Z 
2022-11-23T01:32:32.9283724Z def call(args):
2022-11-23T01:32:32.9283799Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9283877Z     args.clear()
2022-11-23T01:32:32.9284088Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9284258Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9284332Z     del arg0_1
2022-11-23T01:32:32.9284404Z     del arg1_1
2022-11-23T01:32:32.9284482Z     return (buf0, )
2022-11-23T01:32:32.9284487Z 
2022-11-23T01:32:32.9284492Z 
2022-11-23T01:32:32.9284567Z if __name__ == "__main__":
2022-11-23T01:32:32.9284689Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9284823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9285032Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9285229Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9285354Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9285359Z 
2022-11-23T01:32:32.9285432Z ok (1.566s)
2022-11-23T01:32:32.9285776Z   test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9286097Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9286315Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9286575Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9286881Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9287208Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9287556Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9287908Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9288289Z [2022-11-23 01:31:26,025] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9288390Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9288489Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9288562Z               4 BINARY_ADD
2022-11-23T01:32:32.9288659Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9288741Z               8 RETURN_VALUE
2022-11-23T01:32:32.9288807Z  
2022-11-23T01:32:32.9288812Z 
2022-11-23T01:32:32.9289128Z [2022-11-23 01:31:26,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9289347Z [2022-11-23 01:31:26,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9289591Z [2022-11-23 01:31:26,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9289867Z [2022-11-23 01:31:26,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9290112Z [2022-11-23 01:31:26,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9290358Z [2022-11-23 01:31:26,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9290741Z [2022-11-23 01:31:26,027] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9290992Z [2022-11-23 01:31:26,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9291233Z [2022-11-23 01:31:26,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9291494Z [2022-11-23 01:31:26,028] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9291748Z [2022-11-23 01:31:26,030] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9291940Z [2022-11-23 01:31:26,030] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9292080Z  __compiled_fn_935 <eval_with_key>.5740 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9292178Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9292265Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9292452Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9292551Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9292560Z 
2022-11-23T01:32:32.9292901Z [2022-11-23 01:31:26,031] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9293012Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9293128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9293222Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9293316Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9293409Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9293504Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9293586Z              12 RETURN_VALUE
2022-11-23T01:32:32.9293630Z 
2022-11-23T01:32:32.9293698Z  
2022-11-23T01:32:32.9294017Z [2022-11-23 01:31:26,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9294133Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_935)
2022-11-23T01:32:32.9294253Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9294343Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9294425Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9294520Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9294615Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9294695Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9294790Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9294902Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9295004Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9295101Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9295182Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9295275Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9295356Z              26 RETURN_VALUE
2022-11-23T01:32:32.9295362Z 
2022-11-23T01:32:32.9295430Z  
2022-11-23T01:32:32.9295617Z [2022-11-23 01:31:26,031] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9295692Z  - 
2022-11-23T01:32:32.9295809Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9295879Z             {
2022-11-23T01:32:32.9296023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9296212Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9296337Z                 'obj_weakref': None
2022-11-23T01:32:32.9296565Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9296636Z             }
2022-11-23T01:32:32.9296699Z             
2022-11-23T01:32:32.9296776Z  - 
2022-11-23T01:32:32.9296909Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9296980Z             {
2022-11-23T01:32:32.9297126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9297238Z                 'code': None,
2022-11-23T01:32:32.9297446Z                 'obj_weakref': <weakref at 0x7f1f25eebd80; to 'Tensor' at 0x7f2060735e40>
2022-11-23T01:32:32.9297699Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9297768Z             }
2022-11-23T01:32:32.9297838Z             
2022-11-23T01:32:32.9297914Z  - 
2022-11-23T01:32:32.9298042Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9298110Z             {
2022-11-23T01:32:32.9298250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9298362Z                 'code': None,
2022-11-23T01:32:32.9298578Z                 'obj_weakref': <weakref at 0x7f1f25e9ed90; to 'Tensor' at 0x7f1ffad9f8d0>
2022-11-23T01:32:32.9298943Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9299013Z             }
2022-11-23T01:32:32.9299082Z             
2022-11-23T01:32:32.9299159Z  - 
2022-11-23T01:32:32.9299297Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9299363Z             {
2022-11-23T01:32:32.9299504Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9299678Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9299800Z                 'obj_weakref': None
2022-11-23T01:32:32.9300032Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9300100Z             }
2022-11-23T01:32:32.9300171Z             
2022-11-23T01:32:32.9300240Z  - 
2022-11-23T01:32:32.9300366Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9300434Z             {
2022-11-23T01:32:32.9300576Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9300842Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9300969Z                 'obj_weakref': None
2022-11-23T01:32:32.9301196Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9301285Z             }
2022-11-23T01:32:32.9301355Z             
2022-11-23T01:32:32.9301623Z [2022-11-23 01:31:26,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 917
2022-11-23T01:32:32.9301993Z [2022-11-23 01:31:27,571] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uz/cuzp4lvd6txjoczwa35qesqgxtcr7eufxdkfk7cfwjkfytcmijfs.py
2022-11-23T01:32:32.9302264Z [2022-11-23 01:31:27,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 917
2022-11-23T01:32:32.9302270Z 
2022-11-23T01:32:32.9302369Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9302444Z import torch
2022-11-23T01:32:32.9302524Z import random
2022-11-23T01:32:32.9302640Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9302770Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9302775Z 
2022-11-23T01:32:32.9302857Z aten = torch.ops.aten
2022-11-23T01:32:32.9303003Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9303101Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9303107Z 
2022-11-23T01:32:32.9303180Z import triton
2022-11-23T01:32:32.9303272Z import triton.language as tl
2022-11-23T01:32:32.9303394Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9303543Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9303549Z 
2022-11-23T01:32:32.9303553Z 
2022-11-23T01:32:32.9303693Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9303904Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9304035Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9304147Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9304253Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9304320Z {
2022-11-23T01:32:32.9304417Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9304484Z     {
2022-11-23T01:32:32.9304567Z         #pragma omp for 
2022-11-23T01:32:32.9304656Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9304728Z         {
2022-11-23T01:32:32.9304818Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:32.9304887Z             {
2022-11-23T01:32:32.9305031Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9305168Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:32.9305263Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9305375Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:32.9305445Z             }
2022-11-23T01:32:32.9305543Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:32.9305634Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:32.9305696Z             {
2022-11-23T01:32:32.9305802Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9305898Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9305994Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9306095Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9306163Z             }
2022-11-23T01:32:32.9306232Z         }
2022-11-23T01:32:32.9306292Z     }
2022-11-23T01:32:32.9306359Z }
2022-11-23T01:32:32.9306446Z ''')
2022-11-23T01:32:32.9306452Z 
2022-11-23T01:32:32.9306456Z 
2022-11-23T01:32:32.9306552Z async_compile.wait(globals())
2022-11-23T01:32:32.9306631Z del async_compile
2022-11-23T01:32:32.9306636Z 
2022-11-23T01:32:32.9306712Z def call(args):
2022-11-23T01:32:32.9306791Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9306861Z     args.clear()
2022-11-23T01:32:32.9307104Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9307279Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9307353Z     del arg0_1
2022-11-23T01:32:32.9307448Z     del arg1_1
2022-11-23T01:32:32.9307525Z     return (buf0, )
2022-11-23T01:32:32.9307531Z 
2022-11-23T01:32:32.9307535Z 
2022-11-23T01:32:32.9307617Z if __name__ == "__main__":
2022-11-23T01:32:32.9307735Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9307859Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9308066Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9308272Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9308394Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9308399Z 
2022-11-23T01:32:32.9308474Z ok (1.551s)
2022-11-23T01:32:32.9308811Z   test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9309121Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9309348Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9309603Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9309876Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9310195Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9310647Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9310997Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9311378Z [2022-11-23 01:31:27,576] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9311477Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9311575Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9311653Z               4 BINARY_ADD
2022-11-23T01:32:32.9311746Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9311821Z               8 RETURN_VALUE
2022-11-23T01:32:32.9311887Z  
2022-11-23T01:32:32.9311892Z 
2022-11-23T01:32:32.9312205Z [2022-11-23 01:31:27,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9312417Z [2022-11-23 01:31:27,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9312661Z [2022-11-23 01:31:27,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9312939Z [2022-11-23 01:31:27,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9313186Z [2022-11-23 01:31:27,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9313436Z [2022-11-23 01:31:27,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9313822Z [2022-11-23 01:31:27,578] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9314091Z [2022-11-23 01:31:27,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9314333Z [2022-11-23 01:31:27,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9314613Z [2022-11-23 01:31:27,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9314873Z [2022-11-23 01:31:27,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9315066Z [2022-11-23 01:31:27,582] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9315210Z  __compiled_fn_936 <eval_with_key>.5746 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9315306Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9315399Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9315575Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9315680Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9315685Z 
2022-11-23T01:32:32.9316018Z [2022-11-23 01:31:27,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9316119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9316219Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9316313Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9316413Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9316506Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9316594Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9316676Z              12 RETURN_VALUE
2022-11-23T01:32:32.9316681Z 
2022-11-23T01:32:32.9316747Z  
2022-11-23T01:32:32.9317070Z [2022-11-23 01:31:27,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9317191Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_936)
2022-11-23T01:32:32.9317288Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9317390Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9317474Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9317566Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9317661Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9317742Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9317839Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9317951Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9318062Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9318161Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9318235Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9318330Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9318411Z              26 RETURN_VALUE
2022-11-23T01:32:32.9318416Z 
2022-11-23T01:32:32.9318483Z  
2022-11-23T01:32:32.9318670Z [2022-11-23 01:31:27,583] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9318746Z  - 
2022-11-23T01:32:32.9318870Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9318932Z             {
2022-11-23T01:32:32.9319080Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9319275Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9319400Z                 'obj_weakref': None
2022-11-23T01:32:32.9319628Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9319697Z             }
2022-11-23T01:32:32.9319765Z             
2022-11-23T01:32:32.9319833Z  - 
2022-11-23T01:32:32.9319962Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9320031Z             {
2022-11-23T01:32:32.9320180Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9320291Z                 'code': None,
2022-11-23T01:32:32.9320531Z                 'obj_weakref': <weakref at 0x7f1f259eb6a0; to 'Tensor' at 0x7f2127a1eca0>
2022-11-23T01:32:32.9320784Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9320871Z             }
2022-11-23T01:32:32.9320943Z             
2022-11-23T01:32:32.9321020Z  - 
2022-11-23T01:32:32.9321148Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9321221Z             {
2022-11-23T01:32:32.9321370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9321483Z                 'code': None,
2022-11-23T01:32:32.9321689Z                 'obj_weakref': <weakref at 0x7f1f259e88b0; to 'Tensor' at 0x7f1ffad2cbd0>
2022-11-23T01:32:32.9321939Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9322009Z             }
2022-11-23T01:32:32.9322077Z             
2022-11-23T01:32:32.9322155Z  - 
2022-11-23T01:32:32.9322294Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9322362Z             {
2022-11-23T01:32:32.9322496Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9322671Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9322799Z                 'obj_weakref': None
2022-11-23T01:32:32.9323048Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9323127Z             }
2022-11-23T01:32:32.9323204Z             
2022-11-23T01:32:32.9323294Z  - 
2022-11-23T01:32:32.9323414Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9323481Z             {
2022-11-23T01:32:32.9323623Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9323844Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9323967Z                 'obj_weakref': None
2022-11-23T01:32:32.9324196Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9324264Z             }
2022-11-23T01:32:32.9324325Z             
2022-11-23T01:32:32.9324588Z [2022-11-23 01:31:27,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 918
2022-11-23T01:32:32.9324969Z [2022-11-23 01:31:29,138] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pe/cpeixt2gpmsdagoulkczmeupvqwrbwxochwia6cm636xgvfp4t7i.py
2022-11-23T01:32:32.9325244Z [2022-11-23 01:31:29,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 918
2022-11-23T01:32:32.9325250Z 
2022-11-23T01:32:32.9325350Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9325424Z import torch
2022-11-23T01:32:32.9325501Z import random
2022-11-23T01:32:32.9325623Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9325745Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9325757Z 
2022-11-23T01:32:32.9325836Z aten = torch.ops.aten
2022-11-23T01:32:32.9325979Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9326078Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9326083Z 
2022-11-23T01:32:32.9326157Z import triton
2022-11-23T01:32:32.9326251Z import triton.language as tl
2022-11-23T01:32:32.9326381Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9326526Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9326531Z 
2022-11-23T01:32:32.9326536Z 
2022-11-23T01:32:32.9326667Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9326880Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9327008Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9327119Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9327226Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9327293Z {
2022-11-23T01:32:32.9327424Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9327493Z     {
2022-11-23T01:32:32.9327569Z         #pragma omp for 
2022-11-23T01:32:32.9327660Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:32.9327729Z         {
2022-11-23T01:32:32.9327899Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.9328029Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:32.9328119Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9328219Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9328280Z         }
2022-11-23T01:32:32.9328380Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9328470Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:32.9328537Z         {
2022-11-23T01:32:32.9328629Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9328718Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.9328808Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9328890Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9328958Z         }
2022-11-23T01:32:32.9329027Z     }
2022-11-23T01:32:32.9329093Z }
2022-11-23T01:32:32.9329181Z ''')
2022-11-23T01:32:32.9329186Z 
2022-11-23T01:32:32.9329190Z 
2022-11-23T01:32:32.9329283Z async_compile.wait(globals())
2022-11-23T01:32:32.9329364Z del async_compile
2022-11-23T01:32:32.9329369Z 
2022-11-23T01:32:32.9329438Z def call(args):
2022-11-23T01:32:32.9329518Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9329594Z     args.clear()
2022-11-23T01:32:32.9329797Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9329969Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9330043Z     del arg0_1
2022-11-23T01:32:32.9330114Z     del arg1_1
2022-11-23T01:32:32.9330183Z     return (buf0, )
2022-11-23T01:32:32.9330189Z 
2022-11-23T01:32:32.9330194Z 
2022-11-23T01:32:32.9330277Z if __name__ == "__main__":
2022-11-23T01:32:32.9330407Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9330537Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9330740Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9330938Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9331061Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9331066Z 
2022-11-23T01:32:32.9331138Z ok (1.567s)
2022-11-23T01:32:32.9331463Z   test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9331779Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9332000Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9332263Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9332541Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9332861Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9333250Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9333576Z [2022-11-23 01:31:29,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9333984Z [2022-11-23 01:31:29,144] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9334084Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9334176Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9334256Z               4 BINARY_ADD
2022-11-23T01:32:32.9334354Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9334462Z               8 RETURN_VALUE
2022-11-23T01:32:32.9334530Z  
2022-11-23T01:32:32.9334535Z 
2022-11-23T01:32:32.9334849Z [2022-11-23 01:31:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9335063Z [2022-11-23 01:31:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9335303Z [2022-11-23 01:31:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9335569Z [2022-11-23 01:31:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9335817Z [2022-11-23 01:31:29,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9336066Z [2022-11-23 01:31:29,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9336446Z [2022-11-23 01:31:29,145] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9336692Z [2022-11-23 01:31:29,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9336930Z [2022-11-23 01:31:29,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9337185Z [2022-11-23 01:31:29,146] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9337444Z [2022-11-23 01:31:29,148] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9337639Z [2022-11-23 01:31:29,148] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9337776Z  __compiled_fn_937 <eval_with_key>.5752 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9337874Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9337970Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9338155Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9338255Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9338260Z 
2022-11-23T01:32:32.9338590Z [2022-11-23 01:31:29,149] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9338691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9338974Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9339063Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9339167Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9339262Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9339359Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9339443Z              12 RETURN_VALUE
2022-11-23T01:32:32.9339448Z 
2022-11-23T01:32:32.9339518Z  
2022-11-23T01:32:32.9339843Z [2022-11-23 01:31:29,149] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9339962Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_937)
2022-11-23T01:32:32.9340053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9340151Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9340233Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9340328Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9340424Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9340508Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9340659Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9340768Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9340878Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9340976Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9341083Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9341178Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9341266Z              26 RETURN_VALUE
2022-11-23T01:32:32.9341271Z 
2022-11-23T01:32:32.9341336Z  
2022-11-23T01:32:32.9341521Z [2022-11-23 01:31:29,150] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9341598Z  - 
2022-11-23T01:32:32.9341723Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9341793Z             {
2022-11-23T01:32:32.9341940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9342133Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9342261Z                 'obj_weakref': None
2022-11-23T01:32:32.9342518Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9342596Z             }
2022-11-23T01:32:32.9342670Z             
2022-11-23T01:32:32.9342746Z  - 
2022-11-23T01:32:32.9342876Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9342946Z             {
2022-11-23T01:32:32.9343096Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9343200Z                 'code': None,
2022-11-23T01:32:32.9343415Z                 'obj_weakref': <weakref at 0x7f1f25ad5580; to 'Tensor' at 0x7f1ffad86e80>
2022-11-23T01:32:32.9343666Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9343735Z             }
2022-11-23T01:32:32.9343805Z             
2022-11-23T01:32:32.9343880Z  - 
2022-11-23T01:32:32.9344007Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9344068Z             {
2022-11-23T01:32:32.9344217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9344331Z                 'code': None,
2022-11-23T01:32:32.9344544Z                 'obj_weakref': <weakref at 0x7f1f25ad4720; to 'Tensor' at 0x7f2151f19850>
2022-11-23T01:32:32.9344797Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9344870Z             }
2022-11-23T01:32:32.9344939Z             
2022-11-23T01:32:32.9345008Z  - 
2022-11-23T01:32:32.9345145Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9345212Z             {
2022-11-23T01:32:32.9345354Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9345532Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9345655Z                 'obj_weakref': None
2022-11-23T01:32:32.9345890Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9345960Z             }
2022-11-23T01:32:32.9346024Z             
2022-11-23T01:32:32.9346102Z  - 
2022-11-23T01:32:32.9346232Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9346299Z             {
2022-11-23T01:32:32.9346444Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9346665Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9346785Z                 'obj_weakref': None
2022-11-23T01:32:32.9347012Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9347082Z             }
2022-11-23T01:32:32.9347149Z             
2022-11-23T01:32:32.9347417Z [2022-11-23 01:31:29,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 919
2022-11-23T01:32:32.9347786Z [2022-11-23 01:31:30,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch52dlsoo6tokv7zepddfc2mpp65oztjxyd4rahv4fc3w7wjnq7n.py
2022-11-23T01:32:32.9348085Z [2022-11-23 01:31:30,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 919
2022-11-23T01:32:32.9348092Z 
2022-11-23T01:32:32.9348193Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9348268Z import torch
2022-11-23T01:32:32.9348336Z import random
2022-11-23T01:32:32.9348480Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9348608Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9348613Z 
2022-11-23T01:32:32.9348696Z aten = torch.ops.aten
2022-11-23T01:32:32.9348838Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9348937Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9348942Z 
2022-11-23T01:32:32.9349015Z import triton
2022-11-23T01:32:32.9349101Z import triton.language as tl
2022-11-23T01:32:32.9349231Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9349377Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9349383Z 
2022-11-23T01:32:32.9349390Z 
2022-11-23T01:32:32.9349531Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9349742Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9349869Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9349983Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9350089Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9350149Z {
2022-11-23T01:32:32.9350321Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9350403Z     {
2022-11-23T01:32:32.9350501Z         #pragma omp for 
2022-11-23T01:32:32.9350603Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:32.9350687Z         {
2022-11-23T01:32:32.9350836Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:32.9350971Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:32.9351069Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9351166Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:32.9351234Z         }
2022-11-23T01:32:32.9351335Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:32.9351424Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:32.9351498Z         {
2022-11-23T01:32:32.9351581Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9351671Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9351760Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9351846Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9351914Z         }
2022-11-23T01:32:32.9351981Z     }
2022-11-23T01:32:32.9352044Z }
2022-11-23T01:32:32.9352128Z ''')
2022-11-23T01:32:32.9352134Z 
2022-11-23T01:32:32.9352138Z 
2022-11-23T01:32:32.9352232Z async_compile.wait(globals())
2022-11-23T01:32:32.9352309Z del async_compile
2022-11-23T01:32:32.9352314Z 
2022-11-23T01:32:32.9352390Z def call(args):
2022-11-23T01:32:32.9352471Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9352549Z     args.clear()
2022-11-23T01:32:32.9352755Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9352919Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9352993Z     del arg0_1
2022-11-23T01:32:32.9353069Z     del arg1_1
2022-11-23T01:32:32.9353145Z     return (buf0, )
2022-11-23T01:32:32.9353150Z 
2022-11-23T01:32:32.9353155Z 
2022-11-23T01:32:32.9353236Z if __name__ == "__main__":
2022-11-23T01:32:32.9353358Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9353488Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9353691Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9353884Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9354007Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9354012Z 
2022-11-23T01:32:32.9354119Z ok (1.558s)
2022-11-23T01:32:32.9354453Z   test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9354769Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9355011Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9355267Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9355547Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9355864Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9356206Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9356525Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9356902Z [2022-11-23 01:31:30,701] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9357002Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9357100Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9357180Z               4 BINARY_ADD
2022-11-23T01:32:32.9357276Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9357359Z               8 RETURN_VALUE
2022-11-23T01:32:32.9357419Z  
2022-11-23T01:32:32.9357430Z 
2022-11-23T01:32:32.9357745Z [2022-11-23 01:31:30,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9357959Z [2022-11-23 01:31:30,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9358204Z [2022-11-23 01:31:30,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9358483Z [2022-11-23 01:31:30,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9358729Z [2022-11-23 01:31:30,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9358980Z [2022-11-23 01:31:30,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9359364Z [2022-11-23 01:31:30,703] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9359613Z [2022-11-23 01:31:30,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9359852Z [2022-11-23 01:31:30,703] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9360105Z [2022-11-23 01:31:30,704] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9360361Z [2022-11-23 01:31:30,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9360556Z [2022-11-23 01:31:30,706] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9360699Z  __compiled_fn_938 <eval_with_key>.5758 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9360795Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9360888Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9361072Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9361202Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9361208Z 
2022-11-23T01:32:32.9361547Z [2022-11-23 01:31:30,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9361642Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9361762Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9361858Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9361961Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9362056Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9362152Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9362234Z              12 RETURN_VALUE
2022-11-23T01:32:32.9362239Z 
2022-11-23T01:32:32.9362299Z  
2022-11-23T01:32:32.9362626Z [2022-11-23 01:31:30,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9362749Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_938)
2022-11-23T01:32:32.9362849Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9362948Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9363030Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9363147Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9363251Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9363344Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9363444Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9363557Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9363667Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9363765Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9363846Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9363943Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9364019Z              26 RETURN_VALUE
2022-11-23T01:32:32.9364023Z 
2022-11-23T01:32:32.9364092Z  
2022-11-23T01:32:32.9364279Z [2022-11-23 01:31:30,708] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9364356Z  - 
2022-11-23T01:32:32.9364481Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9364552Z             {
2022-11-23T01:32:32.9364702Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9364886Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9365012Z                 'obj_weakref': None
2022-11-23T01:32:32.9365237Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9365308Z             }
2022-11-23T01:32:32.9365377Z             
2022-11-23T01:32:32.9365452Z  - 
2022-11-23T01:32:32.9365583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9365646Z             {
2022-11-23T01:32:32.9365796Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9365909Z                 'code': None,
2022-11-23T01:32:32.9366128Z                 'obj_weakref': <weakref at 0x7f20681756c0; to 'Tensor' at 0x7f1fd819ba10>
2022-11-23T01:32:32.9366387Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9366460Z             }
2022-11-23T01:32:32.9366529Z             
2022-11-23T01:32:32.9366598Z  - 
2022-11-23T01:32:32.9366727Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9366795Z             {
2022-11-23T01:32:32.9366946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9367062Z                 'code': None,
2022-11-23T01:32:32.9367278Z                 'obj_weakref': <weakref at 0x7f1fd97e7510; to 'Tensor' at 0x7f2115b20680>
2022-11-23T01:32:32.9367532Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9367595Z             }
2022-11-23T01:32:32.9367664Z             
2022-11-23T01:32:32.9367741Z  - 
2022-11-23T01:32:32.9367906Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9367977Z             {
2022-11-23T01:32:32.9368121Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9368299Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9368437Z                 'obj_weakref': None
2022-11-23T01:32:32.9368673Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9368744Z             }
2022-11-23T01:32:32.9368814Z             
2022-11-23T01:32:32.9368892Z  - 
2022-11-23T01:32:32.9369021Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9369090Z             {
2022-11-23T01:32:32.9369225Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9369448Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9369571Z                 'obj_weakref': None
2022-11-23T01:32:32.9369801Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9369870Z             }
2022-11-23T01:32:32.9369939Z             
2022-11-23T01:32:32.9370203Z [2022-11-23 01:31:30,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 920
2022-11-23T01:32:32.9370562Z [2022-11-23 01:31:32,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i3/ci3j47qnfcvjrm3o6nheix7oj7os5viyqmvll4ationxm4llz64u.py
2022-11-23T01:32:32.9370833Z [2022-11-23 01:31:32,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 920
2022-11-23T01:32:32.9370838Z 
2022-11-23T01:32:32.9370939Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9371014Z import torch
2022-11-23T01:32:32.9371091Z import random
2022-11-23T01:32:32.9371215Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9371340Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9371346Z 
2022-11-23T01:32:32.9371431Z aten = torch.ops.aten
2022-11-23T01:32:32.9371566Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9371669Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9371674Z 
2022-11-23T01:32:32.9371749Z import triton
2022-11-23T01:32:32.9371842Z import triton.language as tl
2022-11-23T01:32:32.9371974Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9372117Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9372123Z 
2022-11-23T01:32:32.9372127Z 
2022-11-23T01:32:32.9372268Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9372484Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9372604Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9372720Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9372828Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9372906Z {
2022-11-23T01:32:32.9373027Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9373106Z     {
2022-11-23T01:32:32.9373202Z         #pragma omp for 
2022-11-23T01:32:32.9373285Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:32.9373355Z         {
2022-11-23T01:32:32.9373426Z             {
2022-11-23T01:32:32.9373497Z                 {
2022-11-23T01:32:32.9373600Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9373700Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:32.9373819Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.9373910Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9374003Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9374073Z                 }
2022-11-23T01:32:32.9374142Z             }
2022-11-23T01:32:32.9374213Z         }
2022-11-23T01:32:32.9374281Z     }
2022-11-23T01:32:32.9374348Z }
2022-11-23T01:32:32.9374428Z ''')
2022-11-23T01:32:32.9374433Z 
2022-11-23T01:32:32.9374437Z 
2022-11-23T01:32:32.9374581Z async_compile.wait(globals())
2022-11-23T01:32:32.9374660Z del async_compile
2022-11-23T01:32:32.9374665Z 
2022-11-23T01:32:32.9374741Z def call(args):
2022-11-23T01:32:32.9374823Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9374901Z     args.clear()
2022-11-23T01:32:32.9375130Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9375294Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9375369Z     del arg0_1
2022-11-23T01:32:32.9375445Z     del arg1_1
2022-11-23T01:32:32.9375523Z     return (buf0, )
2022-11-23T01:32:32.9375528Z 
2022-11-23T01:32:32.9375533Z 
2022-11-23T01:32:32.9375615Z if __name__ == "__main__":
2022-11-23T01:32:32.9375735Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9375865Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9376072Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9376266Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9376390Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9376395Z 
2022-11-23T01:32:32.9376468Z ok (1.548s)
2022-11-23T01:32:32.9376798Z   test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9377116Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9377336Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9377593Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9377876Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9378192Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9378532Z [2022-11-23 01:31:32,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9379069Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9379459Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9379561Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9379660Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9379745Z               4 BINARY_ADD
2022-11-23T01:32:32.9379842Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9379924Z               8 RETURN_VALUE
2022-11-23T01:32:32.9379993Z  
2022-11-23T01:32:32.9379998Z 
2022-11-23T01:32:32.9380302Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9380520Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9380758Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9381032Z [2022-11-23 01:31:32,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9381283Z [2022-11-23 01:31:32,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9381576Z [2022-11-23 01:31:32,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9381964Z [2022-11-23 01:31:32,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9382243Z [2022-11-23 01:31:32,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9382484Z [2022-11-23 01:31:32,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9382736Z [2022-11-23 01:31:32,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9382991Z [2022-11-23 01:31:32,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9383188Z [2022-11-23 01:31:32,255] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9383332Z  __compiled_fn_939 <eval_with_key>.5764 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9383432Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9383527Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9383709Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9383811Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9383821Z 
2022-11-23T01:32:32.9384151Z [2022-11-23 01:31:32,255] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9384245Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9384344Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9384438Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9384538Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9384630Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9384726Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9384808Z              12 RETURN_VALUE
2022-11-23T01:32:32.9384816Z 
2022-11-23T01:32:32.9384875Z  
2022-11-23T01:32:32.9385194Z [2022-11-23 01:31:32,255] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9385313Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_939)
2022-11-23T01:32:32.9385414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9385512Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9385595Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9385690Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9385784Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9385859Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9385953Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9386067Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9386177Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9386279Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9386360Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9386453Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9386528Z              26 RETURN_VALUE
2022-11-23T01:32:32.9386533Z 
2022-11-23T01:32:32.9386602Z  
2022-11-23T01:32:32.9386791Z [2022-11-23 01:31:32,256] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9386867Z  - 
2022-11-23T01:32:32.9386992Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9387061Z             {
2022-11-23T01:32:32.9387206Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9387391Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9387521Z                 'obj_weakref': None
2022-11-23T01:32:32.9387748Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9387819Z             }
2022-11-23T01:32:32.9387888Z             
2022-11-23T01:32:32.9388004Z  - 
2022-11-23T01:32:32.9388135Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9388198Z             {
2022-11-23T01:32:32.9388346Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9388464Z                 'code': None,
2022-11-23T01:32:32.9388699Z                 'obj_weakref': <weakref at 0x7f1f25ad5b20; to 'Tensor' at 0x7f2068175620>
2022-11-23T01:32:32.9388948Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9389022Z             }
2022-11-23T01:32:32.9389094Z             
2022-11-23T01:32:32.9389164Z  - 
2022-11-23T01:32:32.9389291Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9389361Z             {
2022-11-23T01:32:32.9389512Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9389624Z                 'code': None,
2022-11-23T01:32:32.9389835Z                 'obj_weakref': <weakref at 0x7f1f25ad5e40; to 'Tensor' at 0x7f21279db420>
2022-11-23T01:32:32.9390088Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9390151Z             }
2022-11-23T01:32:32.9390218Z             
2022-11-23T01:32:32.9390372Z  - 
2022-11-23T01:32:32.9390529Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9390616Z             {
2022-11-23T01:32:32.9390773Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9390948Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9391066Z                 'obj_weakref': None
2022-11-23T01:32:32.9391298Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9391368Z             }
2022-11-23T01:32:32.9391438Z             
2022-11-23T01:32:32.9391514Z  - 
2022-11-23T01:32:32.9391645Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9391714Z             {
2022-11-23T01:32:32.9391849Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9392072Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9392197Z                 'obj_weakref': None
2022-11-23T01:32:32.9392421Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9392494Z             }
2022-11-23T01:32:32.9392563Z             
2022-11-23T01:32:32.9392830Z [2022-11-23 01:31:32,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 921
2022-11-23T01:32:32.9393198Z [2022-11-23 01:31:33,824] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mh/cmhhbeannguklppjvam52gcrh5roaaztokajdn7gscztcvravcoz.py
2022-11-23T01:32:32.9393470Z [2022-11-23 01:31:33,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 921
2022-11-23T01:32:32.9393476Z 
2022-11-23T01:32:32.9393575Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9393652Z import torch
2022-11-23T01:32:32.9393730Z import random
2022-11-23T01:32:32.9393854Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9393980Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9393985Z 
2022-11-23T01:32:32.9394070Z aten = torch.ops.aten
2022-11-23T01:32:32.9394207Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9394306Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9394311Z 
2022-11-23T01:32:32.9394385Z import triton
2022-11-23T01:32:32.9394481Z import triton.language as tl
2022-11-23T01:32:32.9394609Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9394752Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9394758Z 
2022-11-23T01:32:32.9394762Z 
2022-11-23T01:32:32.9394901Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9395110Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9395262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9395376Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9395482Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9395549Z {
2022-11-23T01:32:32.9395654Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9395747Z     {
2022-11-23T01:32:32.9395844Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9395927Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9395997Z         {
2022-11-23T01:32:32.9396090Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9396159Z             {
2022-11-23T01:32:32.9396229Z                 {
2022-11-23T01:32:32.9396302Z                     {
2022-11-23T01:32:32.9396415Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9396511Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9396632Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:32.9396737Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9396839Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9396911Z                     }
2022-11-23T01:32:32.9396984Z                 }
2022-11-23T01:32:32.9397052Z             }
2022-11-23T01:32:32.9397117Z         }
2022-11-23T01:32:32.9397185Z     }
2022-11-23T01:32:32.9397250Z }
2022-11-23T01:32:32.9397338Z ''')
2022-11-23T01:32:32.9397344Z 
2022-11-23T01:32:32.9397348Z 
2022-11-23T01:32:32.9397444Z async_compile.wait(globals())
2022-11-23T01:32:32.9397525Z del async_compile
2022-11-23T01:32:32.9397530Z 
2022-11-23T01:32:32.9397608Z def call(args):
2022-11-23T01:32:32.9397682Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9397758Z     args.clear()
2022-11-23T01:32:32.9397965Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9398136Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9398214Z     del arg0_1
2022-11-23T01:32:32.9398286Z     del arg1_1
2022-11-23T01:32:32.9398363Z     return (buf0, )
2022-11-23T01:32:32.9398368Z 
2022-11-23T01:32:32.9398373Z 
2022-11-23T01:32:32.9398454Z if __name__ == "__main__":
2022-11-23T01:32:32.9398569Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9398702Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9398907Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9399099Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9399223Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9399228Z 
2022-11-23T01:32:32.9399301Z ok (1.580s)
2022-11-23T01:32:32.9399635Z   test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:33,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9399951Z [2022-11-23 01:31:33,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9400165Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9400424Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9400711Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9401033Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9401379Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9401734Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9402121Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9402252Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9402351Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9402433Z               4 BINARY_ADD
2022-11-23T01:32:32.9402521Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9402603Z               8 RETURN_VALUE
2022-11-23T01:32:32.9402671Z  
2022-11-23T01:32:32.9402676Z 
2022-11-23T01:32:32.9402992Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9403233Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9403502Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9403773Z [2022-11-23 01:31:33,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9404019Z [2022-11-23 01:31:33,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9404261Z [2022-11-23 01:31:33,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9404648Z [2022-11-23 01:31:33,831] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9404900Z [2022-11-23 01:31:33,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9405138Z [2022-11-23 01:31:33,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9405401Z [2022-11-23 01:31:33,832] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9405656Z [2022-11-23 01:31:33,835] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9405851Z [2022-11-23 01:31:33,835] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9405994Z  __compiled_fn_940 <eval_with_key>.5770 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9406089Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9406175Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9406357Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9406459Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9406464Z 
2022-11-23T01:32:32.9406791Z [2022-11-23 01:31:33,836] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9406895Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9406993Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9407087Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9407187Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9407277Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9407373Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9407455Z              12 RETURN_VALUE
2022-11-23T01:32:32.9407460Z 
2022-11-23T01:32:32.9407527Z  
2022-11-23T01:32:32.9407850Z [2022-11-23 01:31:33,836] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9407967Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_940)
2022-11-23T01:32:32.9408064Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9408162Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9408238Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9408363Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9408460Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9408544Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9408639Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9408774Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9408884Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9408974Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9409056Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9409150Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9409232Z              26 RETURN_VALUE
2022-11-23T01:32:32.9409237Z 
2022-11-23T01:32:32.9409303Z  
2022-11-23T01:32:32.9409496Z [2022-11-23 01:31:33,836] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9409575Z  - 
2022-11-23T01:32:32.9409692Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9409762Z             {
2022-11-23T01:32:32.9409912Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9410101Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9410228Z                 'obj_weakref': None
2022-11-23T01:32:32.9410454Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9410525Z             }
2022-11-23T01:32:32.9410587Z             
2022-11-23T01:32:32.9410665Z  - 
2022-11-23T01:32:32.9410796Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9410866Z             {
2022-11-23T01:32:32.9411012Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9411125Z                 'code': None,
2022-11-23T01:32:32.9411336Z                 'obj_weakref': <weakref at 0x7f1f25ea9120; to 'Tensor' at 0x7f2127a1eca0>
2022-11-23T01:32:32.9411580Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9411652Z             }
2022-11-23T01:32:32.9411720Z             
2022-11-23T01:32:32.9411797Z  - 
2022-11-23T01:32:32.9411928Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9411997Z             {
2022-11-23T01:32:32.9412143Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9412251Z                 'code': None,
2022-11-23T01:32:32.9412463Z                 'obj_weakref': <weakref at 0x7f1f25e9d080; to 'Tensor' at 0x7f1f259c9170>
2022-11-23T01:32:32.9412711Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9412780Z             }
2022-11-23T01:32:32.9412848Z             
2022-11-23T01:32:32.9412939Z  - 
2022-11-23T01:32:32.9413094Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9413172Z             {
2022-11-23T01:32:32.9413314Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9413490Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9413617Z                 'obj_weakref': None
2022-11-23T01:32:32.9413851Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9413921Z             }
2022-11-23T01:32:32.9413989Z             
2022-11-23T01:32:32.9414061Z  - 
2022-11-23T01:32:32.9414190Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9414258Z             {
2022-11-23T01:32:32.9414402Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9414622Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9414746Z                 'obj_weakref': None
2022-11-23T01:32:32.9414974Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9415036Z             }
2022-11-23T01:32:32.9415106Z             
2022-11-23T01:32:32.9415372Z [2022-11-23 01:31:33,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 922
2022-11-23T01:32:32.9415778Z [2022-11-23 01:31:35,393] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bq/cbqmlbnzazueokxyzhniwcif77hjwit6umx6wuob6ddvi5epxzx6.py
2022-11-23T01:32:32.9416053Z [2022-11-23 01:31:35,393] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 922
2022-11-23T01:32:32.9416082Z 
2022-11-23T01:32:32.9416184Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9416259Z import torch
2022-11-23T01:32:32.9416336Z import random
2022-11-23T01:32:32.9416452Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9416580Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9416586Z 
2022-11-23T01:32:32.9416669Z aten = torch.ops.aten
2022-11-23T01:32:32.9416811Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9416909Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9416914Z 
2022-11-23T01:32:32.9416990Z import triton
2022-11-23T01:32:32.9417086Z import triton.language as tl
2022-11-23T01:32:32.9417214Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9417352Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9417358Z 
2022-11-23T01:32:32.9417362Z 
2022-11-23T01:32:32.9417501Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9417715Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9417841Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9417951Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9418057Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9418125Z {
2022-11-23T01:32:32.9418221Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9418289Z     {
2022-11-23T01:32:32.9418386Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9418474Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9418543Z         {
2022-11-23T01:32:32.9418639Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9418707Z             {
2022-11-23T01:32:32.9418771Z                 {
2022-11-23T01:32:32.9419037Z                     {
2022-11-23T01:32:32.9419151Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9419269Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9419372Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9419478Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9419551Z                     }
2022-11-23T01:32:32.9419613Z                 }
2022-11-23T01:32:32.9419680Z             }
2022-11-23T01:32:32.9419747Z         }
2022-11-23T01:32:32.9419814Z     }
2022-11-23T01:32:32.9419879Z }
2022-11-23T01:32:32.9419966Z ''')
2022-11-23T01:32:32.9419972Z 
2022-11-23T01:32:32.9419976Z 
2022-11-23T01:32:32.9420071Z async_compile.wait(globals())
2022-11-23T01:32:32.9420142Z del async_compile
2022-11-23T01:32:32.9420147Z 
2022-11-23T01:32:32.9420224Z def call(args):
2022-11-23T01:32:32.9420306Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9420382Z     args.clear()
2022-11-23T01:32:32.9420586Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9420757Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9420835Z     del arg0_1
2022-11-23T01:32:32.9420900Z     del arg1_1
2022-11-23T01:32:32.9420976Z     return (buf0, )
2022-11-23T01:32:32.9420981Z 
2022-11-23T01:32:32.9420986Z 
2022-11-23T01:32:32.9421066Z if __name__ == "__main__":
2022-11-23T01:32:32.9421187Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9421316Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9421520Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9421723Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9421894Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9421900Z 
2022-11-23T01:32:32.9421967Z ok (1.568s)
2022-11-23T01:32:32.9422314Z   test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9422655Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9422883Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9423143Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9423426Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9423744Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9424090Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9424417Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9424798Z [2022-11-23 01:31:35,398] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9424897Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9424989Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9425068Z               4 BINARY_ADD
2022-11-23T01:32:32.9425163Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9425246Z               8 RETURN_VALUE
2022-11-23T01:32:32.9425315Z  
2022-11-23T01:32:32.9425320Z 
2022-11-23T01:32:32.9425636Z [2022-11-23 01:31:35,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9425849Z [2022-11-23 01:31:35,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9426097Z [2022-11-23 01:31:35,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9426364Z [2022-11-23 01:31:35,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9426610Z [2022-11-23 01:31:35,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9426867Z [2022-11-23 01:31:35,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9427254Z [2022-11-23 01:31:35,400] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9427503Z [2022-11-23 01:31:35,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9427742Z [2022-11-23 01:31:35,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9427999Z [2022-11-23 01:31:35,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9428252Z [2022-11-23 01:31:35,403] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9428448Z [2022-11-23 01:31:35,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9428584Z  __compiled_fn_941 <eval_with_key>.5776 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9428681Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9428773Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9428986Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9429088Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9429094Z 
2022-11-23T01:32:32.9429421Z [2022-11-23 01:31:35,404] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9429550Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9429647Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9429733Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9429833Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9429925Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9430019Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9430100Z              12 RETURN_VALUE
2022-11-23T01:32:32.9430105Z 
2022-11-23T01:32:32.9430171Z  
2022-11-23T01:32:32.9430593Z [2022-11-23 01:31:35,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9430724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_941)
2022-11-23T01:32:32.9430825Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9430927Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9431008Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9431103Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9431197Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9431278Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9431372Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9431478Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9431590Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9431685Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9431767Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9431865Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9431945Z              26 RETURN_VALUE
2022-11-23T01:32:32.9431950Z 
2022-11-23T01:32:32.9432015Z  
2022-11-23T01:32:32.9432206Z [2022-11-23 01:31:35,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9432285Z  - 
2022-11-23T01:32:32.9432415Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9432484Z             {
2022-11-23T01:32:32.9432630Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9432823Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9432949Z                 'obj_weakref': None
2022-11-23T01:32:32.9433169Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9433238Z             }
2022-11-23T01:32:32.9433307Z             
2022-11-23T01:32:32.9433382Z  - 
2022-11-23T01:32:32.9433511Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9433580Z             {
2022-11-23T01:32:32.9433731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9433837Z                 'code': None,
2022-11-23T01:32:32.9434050Z                 'obj_weakref': <weakref at 0x7f1f25ad7060; to 'Tensor' at 0x7f1f259c9170>
2022-11-23T01:32:32.9434299Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9434372Z             }
2022-11-23T01:32:32.9434440Z             
2022-11-23T01:32:32.9434516Z  - 
2022-11-23T01:32:32.9434642Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9434704Z             {
2022-11-23T01:32:32.9434853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9434965Z                 'code': None,
2022-11-23T01:32:32.9435182Z                 'obj_weakref': <weakref at 0x7f1f25b0ee30; to 'Tensor' at 0x7f2023064d60>
2022-11-23T01:32:32.9435435Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9435551Z             }
2022-11-23T01:32:32.9435621Z             
2022-11-23T01:32:32.9435690Z  - 
2022-11-23T01:32:32.9435828Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9435896Z             {
2022-11-23T01:32:32.9436037Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9436235Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9436360Z                 'obj_weakref': None
2022-11-23T01:32:32.9436594Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9436655Z             }
2022-11-23T01:32:32.9436722Z             
2022-11-23T01:32:32.9436797Z  - 
2022-11-23T01:32:32.9436927Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9436995Z             {
2022-11-23T01:32:32.9437136Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9437356Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9437475Z                 'obj_weakref': None
2022-11-23T01:32:32.9437699Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9444070Z             }
2022-11-23T01:32:32.9444157Z             
2022-11-23T01:32:32.9444456Z [2022-11-23 01:31:35,409] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 923
2022-11-23T01:32:32.9444821Z [2022-11-23 01:31:36,942] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dr/cdrmqxg67rrg554t2xwaveram4apqsazzcxrychorzpkm7embslk.py
2022-11-23T01:32:32.9445087Z [2022-11-23 01:31:36,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 923
2022-11-23T01:32:32.9445093Z 
2022-11-23T01:32:32.9445193Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9445262Z import torch
2022-11-23T01:32:32.9445338Z import random
2022-11-23T01:32:32.9445461Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9445591Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9445597Z 
2022-11-23T01:32:32.9445680Z aten = torch.ops.aten
2022-11-23T01:32:32.9445820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9445917Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9445924Z 
2022-11-23T01:32:32.9445999Z import triton
2022-11-23T01:32:32.9446085Z import triton.language as tl
2022-11-23T01:32:32.9446212Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9446355Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9446360Z 
2022-11-23T01:32:32.9446365Z 
2022-11-23T01:32:32.9446504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9446715Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9446841Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9446952Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9447059Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9447120Z {
2022-11-23T01:32:32.9447223Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9447289Z     {
2022-11-23T01:32:32.9447384Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9447476Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9447545Z         {
2022-11-23T01:32:32.9447631Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9447700Z             {
2022-11-23T01:32:32.9447770Z                 {
2022-11-23T01:32:32.9447845Z                     {
2022-11-23T01:32:32.9447957Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9448067Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:32.9448168Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9448265Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9448337Z                     }
2022-11-23T01:32:32.9448457Z                 }
2022-11-23T01:32:32.9448528Z             }
2022-11-23T01:32:32.9448596Z         }
2022-11-23T01:32:32.9448664Z     }
2022-11-23T01:32:32.9448731Z }
2022-11-23T01:32:32.9448812Z ''')
2022-11-23T01:32:32.9448817Z 
2022-11-23T01:32:32.9448821Z 
2022-11-23T01:32:32.9448942Z async_compile.wait(globals())
2022-11-23T01:32:32.9449024Z del async_compile
2022-11-23T01:32:32.9449029Z 
2022-11-23T01:32:32.9449104Z def call(args):
2022-11-23T01:32:32.9449185Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9449262Z     args.clear()
2022-11-23T01:32:32.9449467Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9449633Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9449708Z     del arg0_1
2022-11-23T01:32:32.9449779Z     del arg1_1
2022-11-23T01:32:32.9449855Z     return (buf0, )
2022-11-23T01:32:32.9449860Z 
2022-11-23T01:32:32.9449864Z 
2022-11-23T01:32:32.9449950Z if __name__ == "__main__":
2022-11-23T01:32:32.9450069Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9450198Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9450400Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9450597Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9450718Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9450723Z 
2022-11-23T01:32:32.9450795Z ok (1.549s)
2022-11-23T01:32:32.9451139Z   test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9451454Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9451676Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9451931Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9452209Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9452528Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9452870Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9453231Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9453611Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9453709Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9453806Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9453888Z               4 BINARY_ADD
2022-11-23T01:32:32.9453985Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9454067Z               8 RETURN_VALUE
2022-11-23T01:32:32.9454133Z  
2022-11-23T01:32:32.9454139Z 
2022-11-23T01:32:32.9454445Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9454660Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9454901Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9455202Z [2022-11-23 01:31:36,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9455447Z [2022-11-23 01:31:36,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9455693Z [2022-11-23 01:31:36,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9456092Z [2022-11-23 01:31:36,949] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9456344Z [2022-11-23 01:31:36,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9456584Z [2022-11-23 01:31:36,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9456844Z [2022-11-23 01:31:36,950] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9457095Z [2022-11-23 01:31:36,952] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9457291Z [2022-11-23 01:31:36,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9457435Z  __compiled_fn_942 <eval_with_key>.5782 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9457533Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9457626Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9457809Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9457911Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9457916Z 
2022-11-23T01:32:32.9458249Z [2022-11-23 01:31:36,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9458343Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9458441Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9458535Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9458640Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9458732Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9459041Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9459125Z              12 RETURN_VALUE
2022-11-23T01:32:32.9459135Z 
2022-11-23T01:32:32.9459193Z  
2022-11-23T01:32:32.9459522Z [2022-11-23 01:31:36,953] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9459639Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_942)
2022-11-23T01:32:32.9459735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9459834Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9459918Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9460013Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9460108Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9460183Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9460281Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9460394Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9460506Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9460600Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9460684Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9460778Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9460853Z              26 RETURN_VALUE
2022-11-23T01:32:32.9460858Z 
2022-11-23T01:32:32.9460925Z  
2022-11-23T01:32:32.9461112Z [2022-11-23 01:31:36,953] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9461189Z  - 
2022-11-23T01:32:32.9461314Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9461383Z             {
2022-11-23T01:32:32.9461529Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9461716Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9461893Z                 'obj_weakref': None
2022-11-23T01:32:32.9462124Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9462194Z             }
2022-11-23T01:32:32.9462262Z             
2022-11-23T01:32:32.9462339Z  - 
2022-11-23T01:32:32.9462498Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9462560Z             {
2022-11-23T01:32:32.9462709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9462823Z                 'code': None,
2022-11-23T01:32:32.9463040Z                 'obj_weakref': <weakref at 0x7f1f25b0e340; to 'Tensor' at 0x7f1f259e87c0>
2022-11-23T01:32:32.9463294Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9463363Z             }
2022-11-23T01:32:32.9463432Z             
2022-11-23T01:32:32.9463501Z  - 
2022-11-23T01:32:32.9463628Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9463697Z             {
2022-11-23T01:32:32.9463848Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9463960Z                 'code': None,
2022-11-23T01:32:32.9464175Z                 'obj_weakref': <weakref at 0x7f1f25b0d940; to 'Tensor' at 0x7f21279b8ae0>
2022-11-23T01:32:32.9464433Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9464495Z             }
2022-11-23T01:32:32.9464563Z             
2022-11-23T01:32:32.9464639Z  - 
2022-11-23T01:32:32.9464774Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9464842Z             {
2022-11-23T01:32:32.9464984Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9465158Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9465275Z                 'obj_weakref': None
2022-11-23T01:32:32.9465507Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9465578Z             }
2022-11-23T01:32:32.9465647Z             
2022-11-23T01:32:32.9465722Z  - 
2022-11-23T01:32:32.9465850Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9465918Z             {
2022-11-23T01:32:32.9466052Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9466275Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9466399Z                 'obj_weakref': None
2022-11-23T01:32:32.9466625Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9466694Z             }
2022-11-23T01:32:32.9466762Z             
2022-11-23T01:32:32.9467024Z [2022-11-23 01:31:36,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 924
2022-11-23T01:32:32.9467389Z [2022-11-23 01:31:38,498] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2b/c2bmcgsdpxdp7v3iy7qqwvw56y2gnvxukbkyio4rbpnnw4y5rqfh.py
2022-11-23T01:32:32.9467650Z [2022-11-23 01:31:38,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 924
2022-11-23T01:32:32.9467656Z 
2022-11-23T01:32:32.9467756Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9467829Z import torch
2022-11-23T01:32:32.9467905Z import random
2022-11-23T01:32:32.9468026Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9468153Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9468159Z 
2022-11-23T01:32:32.9468242Z aten = torch.ops.aten
2022-11-23T01:32:32.9468375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9468473Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9468478Z 
2022-11-23T01:32:32.9468551Z import triton
2022-11-23T01:32:32.9468643Z import triton.language as tl
2022-11-23T01:32:32.9468773Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9468916Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9468957Z 
2022-11-23T01:32:32.9468962Z 
2022-11-23T01:32:32.9469102Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9469314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9469442Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9469573Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9469682Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9469749Z {
2022-11-23T01:32:32.9469851Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9469917Z     {
2022-11-23T01:32:32.9470015Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9470096Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9470164Z         {
2022-11-23T01:32:32.9470336Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9470420Z             {
2022-11-23T01:32:32.9470502Z                 {
2022-11-23T01:32:32.9470596Z                     {
2022-11-23T01:32:32.9470711Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9470806Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9470927Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9471027Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9471133Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9471203Z                     }
2022-11-23T01:32:32.9471273Z                 }
2022-11-23T01:32:32.9471341Z             }
2022-11-23T01:32:32.9471401Z         }
2022-11-23T01:32:32.9471468Z     }
2022-11-23T01:32:32.9471532Z }
2022-11-23T01:32:32.9471626Z ''')
2022-11-23T01:32:32.9471631Z 
2022-11-23T01:32:32.9471636Z 
2022-11-23T01:32:32.9471730Z async_compile.wait(globals())
2022-11-23T01:32:32.9471809Z del async_compile
2022-11-23T01:32:32.9471814Z 
2022-11-23T01:32:32.9471888Z def call(args):
2022-11-23T01:32:32.9471961Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9472040Z     args.clear()
2022-11-23T01:32:32.9472245Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9472416Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9472490Z     del arg0_1
2022-11-23T01:32:32.9472564Z     del arg1_1
2022-11-23T01:32:32.9472639Z     return (buf0, )
2022-11-23T01:32:32.9472644Z 
2022-11-23T01:32:32.9472649Z 
2022-11-23T01:32:32.9472733Z if __name__ == "__main__":
2022-11-23T01:32:32.9472846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9472976Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9473180Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9473375Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9473498Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9473503Z 
2022-11-23T01:32:32.9473578Z ok (1.556s)
2022-11-23T01:32:32.9473920Z   test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9474231Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9474448Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9474705Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9474985Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9475304Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9475677Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9475999Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9476402Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9476501Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9476600Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9476678Z               4 BINARY_ADD
2022-11-23T01:32:32.9476766Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9476848Z               8 RETURN_VALUE
2022-11-23T01:32:32.9476913Z  
2022-11-23T01:32:32.9476918Z 
2022-11-23T01:32:32.9477233Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9477446Z [2022-11-23 01:31:38,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9477688Z [2022-11-23 01:31:38,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9477962Z [2022-11-23 01:31:38,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9478205Z [2022-11-23 01:31:38,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9478446Z [2022-11-23 01:31:38,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9478822Z [2022-11-23 01:31:38,505] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9479070Z [2022-11-23 01:31:38,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9479305Z [2022-11-23 01:31:38,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9479562Z [2022-11-23 01:31:38,506] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9479813Z [2022-11-23 01:31:38,508] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9480002Z [2022-11-23 01:31:38,509] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9480144Z  __compiled_fn_943 <eval_with_key>.5788 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9480238Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9480324Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9480504Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9480606Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9480611Z 
2022-11-23T01:32:32.9480935Z [2022-11-23 01:31:38,509] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9481035Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9481136Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9481229Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9481330Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9481416Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9481511Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9481593Z              12 RETURN_VALUE
2022-11-23T01:32:32.9481598Z 
2022-11-23T01:32:32.9481664Z  
2022-11-23T01:32:32.9481981Z [2022-11-23 01:31:38,509] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9482129Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_943)
2022-11-23T01:32:32.9482230Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9482326Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9482401Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9482537Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9482631Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9482714Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9482811Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9482924Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9483033Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9483145Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9483230Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9483344Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9483426Z              26 RETURN_VALUE
2022-11-23T01:32:32.9483431Z 
2022-11-23T01:32:32.9483499Z  
2022-11-23T01:32:32.9483688Z [2022-11-23 01:31:38,510] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9483763Z  - 
2022-11-23T01:32:32.9483880Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9483949Z             {
2022-11-23T01:32:32.9484099Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9484289Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9484413Z                 'obj_weakref': None
2022-11-23T01:32:32.9484640Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9484709Z             }
2022-11-23T01:32:32.9484770Z             
2022-11-23T01:32:32.9484847Z  - 
2022-11-23T01:32:32.9484977Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9485046Z             {
2022-11-23T01:32:32.9485193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9485304Z                 'code': None,
2022-11-23T01:32:32.9485517Z                 'obj_weakref': <weakref at 0x7f1ffad30180; to 'Tensor' at 0x7f2022f7a660>
2022-11-23T01:32:32.9485763Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9485835Z             }
2022-11-23T01:32:32.9485902Z             
2022-11-23T01:32:32.9485979Z  - 
2022-11-23T01:32:32.9486106Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9486174Z             {
2022-11-23T01:32:32.9486319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9486423Z                 'code': None,
2022-11-23T01:32:32.9486633Z                 'obj_weakref': <weakref at 0x7f20727c28e0; to 'Tensor' at 0x7f2023254310>
2022-11-23T01:32:32.9486882Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9486951Z             }
2022-11-23T01:32:32.9487018Z             
2022-11-23T01:32:32.9487096Z  - 
2022-11-23T01:32:32.9487234Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9487296Z             {
2022-11-23T01:32:32.9487436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9487612Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9487741Z                 'obj_weakref': None
2022-11-23T01:32:32.9487974Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9488042Z             }
2022-11-23T01:32:32.9488109Z             
2022-11-23T01:32:32.9488178Z  - 
2022-11-23T01:32:32.9488304Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9488372Z             {
2022-11-23T01:32:32.9488512Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9488730Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9488854Z                 'obj_weakref': None
2022-11-23T01:32:32.9489125Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9489188Z             }
2022-11-23T01:32:32.9489255Z             
2022-11-23T01:32:32.9489522Z [2022-11-23 01:31:38,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 925
2022-11-23T01:32:32.9489916Z [2022-11-23 01:31:40,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5yv3qdepjpjb5n24frjmr6qhsvyak5zqyhyccs4nhqlrwezqnyj.py
2022-11-23T01:32:32.9490187Z [2022-11-23 01:31:40,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 925
2022-11-23T01:32:32.9490193Z 
2022-11-23T01:32:32.9490294Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9490369Z import torch
2022-11-23T01:32:32.9490444Z import random
2022-11-23T01:32:32.9490560Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9490686Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9490691Z 
2022-11-23T01:32:32.9490778Z aten = torch.ops.aten
2022-11-23T01:32:32.9490920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9491018Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9491023Z 
2022-11-23T01:32:32.9491097Z import triton
2022-11-23T01:32:32.9491190Z import triton.language as tl
2022-11-23T01:32:32.9491322Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9491460Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9491465Z 
2022-11-23T01:32:32.9491477Z 
2022-11-23T01:32:32.9491611Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9491825Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9491956Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9492068Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9492176Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9492241Z {
2022-11-23T01:32:32.9492347Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9492407Z     {
2022-11-23T01:32:32.9492503Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9492591Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9492659Z         {
2022-11-23T01:32:32.9492754Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9492821Z             {
2022-11-23T01:32:32.9492900Z                 {
2022-11-23T01:32:32.9492981Z                     {
2022-11-23T01:32:32.9493112Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9493217Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9493338Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9493438Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9493542Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9493607Z                     }
2022-11-23T01:32:32.9493677Z                 }
2022-11-23T01:32:32.9493747Z             }
2022-11-23T01:32:32.9493814Z         }
2022-11-23T01:32:32.9493880Z     }
2022-11-23T01:32:32.9493943Z }
2022-11-23T01:32:32.9494029Z ''')
2022-11-23T01:32:32.9494034Z 
2022-11-23T01:32:32.9494039Z 
2022-11-23T01:32:32.9494126Z async_compile.wait(globals())
2022-11-23T01:32:32.9494207Z del async_compile
2022-11-23T01:32:32.9494212Z 
2022-11-23T01:32:32.9494286Z def call(args):
2022-11-23T01:32:32.9494366Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9494443Z     args.clear()
2022-11-23T01:32:32.9494655Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9494827Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9494901Z     del arg0_1
2022-11-23T01:32:32.9494966Z     del arg1_1
2022-11-23T01:32:32.9495043Z     return (buf0, )
2022-11-23T01:32:32.9495048Z 
2022-11-23T01:32:32.9495053Z 
2022-11-23T01:32:32.9495133Z if __name__ == "__main__":
2022-11-23T01:32:32.9495283Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9495417Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9495620Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9495828Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9495973Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9495979Z 
2022-11-23T01:32:32.9496044Z ok (1.554s)
2022-11-23T01:32:32.9496390Z   test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9496707Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9496927Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9497187Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9497463Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9497785Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9498126Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9498444Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9499011Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9499107Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9499204Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9499288Z               4 BINARY_ADD
2022-11-23T01:32:32.9499382Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9499467Z               8 RETURN_VALUE
2022-11-23T01:32:32.9499534Z  
2022-11-23T01:32:32.9499540Z 
2022-11-23T01:32:32.9499853Z [2022-11-23 01:31:40,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9500066Z [2022-11-23 01:31:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9500298Z [2022-11-23 01:31:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9500571Z [2022-11-23 01:31:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9500815Z [2022-11-23 01:31:40,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9501062Z [2022-11-23 01:31:40,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9501441Z [2022-11-23 01:31:40,059] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9501690Z [2022-11-23 01:31:40,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9501927Z [2022-11-23 01:31:40,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9502185Z [2022-11-23 01:31:40,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9502489Z [2022-11-23 01:31:40,062] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9502678Z [2022-11-23 01:31:40,063] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9502819Z  __compiled_fn_944 <eval_with_key>.5794 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9502915Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9503037Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9503217Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9503318Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9503324Z 
2022-11-23T01:32:32.9503651Z [2022-11-23 01:31:40,063] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9503754Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9503846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9503939Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9504044Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9504136Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9504230Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9504311Z              12 RETURN_VALUE
2022-11-23T01:32:32.9504317Z 
2022-11-23T01:32:32.9504385Z  
2022-11-23T01:32:32.9504706Z [2022-11-23 01:31:40,063] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9504819Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_944)
2022-11-23T01:32:32.9504917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9505015Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9505099Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9505195Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9505291Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9505372Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9505462Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9505573Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9505686Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9505783Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9505871Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9505965Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9506047Z              26 RETURN_VALUE
2022-11-23T01:32:32.9506052Z 
2022-11-23T01:32:32.9506112Z  
2022-11-23T01:32:32.9506298Z [2022-11-23 01:31:40,064] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9506374Z  - 
2022-11-23T01:32:32.9506497Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9506565Z             {
2022-11-23T01:32:32.9506709Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9506900Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9507022Z                 'obj_weakref': None
2022-11-23T01:32:32.9507247Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9507317Z             }
2022-11-23T01:32:32.9507391Z             
2022-11-23T01:32:32.9507467Z  - 
2022-11-23T01:32:32.9507595Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9507666Z             {
2022-11-23T01:32:32.9507805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9507916Z                 'code': None,
2022-11-23T01:32:32.9508130Z                 'obj_weakref': <weakref at 0x7f1f25b0fa60; to 'Tensor' at 0x7f2023071120>
2022-11-23T01:32:32.9508377Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9508446Z             }
2022-11-23T01:32:32.9508515Z             
2022-11-23T01:32:32.9508591Z  - 
2022-11-23T01:32:32.9508711Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9508779Z             {
2022-11-23T01:32:32.9508958Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9509071Z                 'code': None,
2022-11-23T01:32:32.9509286Z                 'obj_weakref': <weakref at 0x7f1f25b0f420; to 'Tensor' at 0x7f1ffad49990>
2022-11-23T01:32:32.9509538Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9509631Z             }
2022-11-23T01:32:32.9509693Z             
2022-11-23T01:32:32.9509770Z  - 
2022-11-23T01:32:32.9509905Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9509974Z             {
2022-11-23T01:32:32.9510117Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9510366Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9510512Z                 'obj_weakref': None
2022-11-23T01:32:32.9510749Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9510819Z             }
2022-11-23T01:32:32.9510889Z             
2022-11-23T01:32:32.9510964Z  - 
2022-11-23T01:32:32.9511090Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9511158Z             {
2022-11-23T01:32:32.9511301Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9511515Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9511646Z                 'obj_weakref': None
2022-11-23T01:32:32.9511875Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9511944Z             }
2022-11-23T01:32:32.9512013Z             
2022-11-23T01:32:32.9512281Z [2022-11-23 01:31:40,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 926
2022-11-23T01:32:32.9512644Z [2022-11-23 01:31:41,622] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w7/cw72z4p4ii55cef4sm2pqgajuok4yfwka5aclg2glxdqjtexyhzt.py
2022-11-23T01:32:32.9512915Z [2022-11-23 01:31:41,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 926
2022-11-23T01:32:32.9512920Z 
2022-11-23T01:32:32.9513020Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9513089Z import torch
2022-11-23T01:32:32.9513167Z import random
2022-11-23T01:32:32.9513291Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9513423Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9513428Z 
2022-11-23T01:32:32.9513512Z aten = torch.ops.aten
2022-11-23T01:32:32.9513653Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9513754Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9513759Z 
2022-11-23T01:32:32.9513827Z import triton
2022-11-23T01:32:32.9513920Z import triton.language as tl
2022-11-23T01:32:32.9514048Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9514192Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9514198Z 
2022-11-23T01:32:32.9514205Z 
2022-11-23T01:32:32.9514347Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9514558Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9514690Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9514807Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9514910Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9514977Z {
2022-11-23T01:32:32.9515081Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9515148Z     {
2022-11-23T01:32:32.9515231Z         #pragma omp for 
2022-11-23T01:32:32.9515321Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:32.9515389Z         {
2022-11-23T01:32:32.9515452Z             {
2022-11-23T01:32:32.9515523Z                 {
2022-11-23T01:32:32.9515626Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9515725Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.9515881Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9515987Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9516080Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9516144Z                 }
2022-11-23T01:32:32.9516214Z             }
2022-11-23T01:32:32.9516304Z         }
2022-11-23T01:32:32.9516372Z     }
2022-11-23T01:32:32.9516439Z }
2022-11-23T01:32:32.9516526Z ''')
2022-11-23T01:32:32.9516531Z 
2022-11-23T01:32:32.9516536Z 
2022-11-23T01:32:32.9516633Z async_compile.wait(globals())
2022-11-23T01:32:32.9516705Z del async_compile
2022-11-23T01:32:32.9516710Z 
2022-11-23T01:32:32.9516787Z def call(args):
2022-11-23T01:32:32.9516868Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9516945Z     args.clear()
2022-11-23T01:32:32.9517151Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9517323Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9517403Z     del arg0_1
2022-11-23T01:32:32.9517470Z     del arg1_1
2022-11-23T01:32:32.9517551Z     return (buf0, )
2022-11-23T01:32:32.9517556Z 
2022-11-23T01:32:32.9517561Z 
2022-11-23T01:32:32.9517642Z if __name__ == "__main__":
2022-11-23T01:32:32.9517762Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9517895Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9518101Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9518297Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9518420Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9518425Z 
2022-11-23T01:32:32.9518491Z ok (1.573s)
2022-11-23T01:32:32.9518830Z   test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9519150Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9519373Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9519634Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9519919Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9520238Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9520585Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9520911Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9521292Z [2022-11-23 01:31:41,631] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9521389Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9521486Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9521565Z               4 BINARY_ADD
2022-11-23T01:32:32.9521664Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9521747Z               8 RETURN_VALUE
2022-11-23T01:32:32.9521813Z  
2022-11-23T01:32:32.9521819Z 
2022-11-23T01:32:32.9522136Z [2022-11-23 01:31:41,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9522351Z [2022-11-23 01:31:41,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9522620Z [2022-11-23 01:31:41,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9522899Z [2022-11-23 01:31:41,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9523206Z [2022-11-23 01:31:41,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9523474Z [2022-11-23 01:31:41,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9523860Z [2022-11-23 01:31:41,632] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9524111Z [2022-11-23 01:31:41,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9524350Z [2022-11-23 01:31:41,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9524611Z [2022-11-23 01:31:41,633] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9524866Z [2022-11-23 01:31:41,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9525057Z [2022-11-23 01:31:41,636] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9525199Z  __compiled_fn_945 <eval_with_key>.5800 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9525294Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9525386Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9525570Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9525671Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9525676Z 
2022-11-23T01:32:32.9526007Z [2022-11-23 01:31:41,636] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9526113Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9526203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9526296Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9526398Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9526492Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9526588Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9526673Z              12 RETURN_VALUE
2022-11-23T01:32:32.9526678Z 
2022-11-23T01:32:32.9526744Z  
2022-11-23T01:32:32.9527067Z [2022-11-23 01:31:41,636] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9527178Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_945)
2022-11-23T01:32:32.9527276Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9527372Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9527457Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9527552Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9527647Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9527729Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9527817Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9527933Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9528043Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9528139Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9528220Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9528314Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9528394Z              26 RETURN_VALUE
2022-11-23T01:32:32.9528399Z 
2022-11-23T01:32:32.9528458Z  
2022-11-23T01:32:32.9528644Z [2022-11-23 01:31:41,637] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9528721Z  - 
2022-11-23T01:32:32.9528845Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9528947Z             {
2022-11-23T01:32:32.9529093Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9529283Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9529401Z                 'obj_weakref': None
2022-11-23T01:32:32.9529650Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9529721Z             }
2022-11-23T01:32:32.9529790Z             
2022-11-23T01:32:32.9529866Z  - 
2022-11-23T01:32:32.9529996Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9530065Z             {
2022-11-23T01:32:32.9530206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9530318Z                 'code': None,
2022-11-23T01:32:32.9530529Z                 'obj_weakref': <weakref at 0x7f1f259e9bc0; to 'Tensor' at 0x7f1fd9a8f1f0>
2022-11-23T01:32:32.9530778Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9530850Z             }
2022-11-23T01:32:32.9530918Z             
2022-11-23T01:32:32.9530995Z  - 
2022-11-23T01:32:32.9531116Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9531184Z             {
2022-11-23T01:32:32.9531331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9531449Z                 'code': None,
2022-11-23T01:32:32.9531661Z                 'obj_weakref': <weakref at 0x7f1f259eae80; to 'Tensor' at 0x7f2151f19ad0>
2022-11-23T01:32:32.9531912Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9531981Z             }
2022-11-23T01:32:32.9532050Z             
2022-11-23T01:32:32.9532121Z  - 
2022-11-23T01:32:32.9532256Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9532326Z             {
2022-11-23T01:32:32.9532468Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9532648Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9532774Z                 'obj_weakref': None
2022-11-23T01:32:32.9533003Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9533074Z             }
2022-11-23T01:32:32.9533141Z             
2022-11-23T01:32:32.9533219Z  - 
2022-11-23T01:32:32.9533352Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9533422Z             {
2022-11-23T01:32:32.9533565Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9533781Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9533910Z                 'obj_weakref': None
2022-11-23T01:32:32.9534137Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9534205Z             }
2022-11-23T01:32:32.9534273Z             
2022-11-23T01:32:32.9534541Z [2022-11-23 01:31:41,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 927
2022-11-23T01:32:32.9534914Z [2022-11-23 01:31:43,195] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6r/c6rcsoyjjudew5kntoosxigolnmvb5jrsiayb7g2iardmbtcpjze.py
2022-11-23T01:32:32.9535184Z [2022-11-23 01:31:43,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 927
2022-11-23T01:32:32.9535192Z 
2022-11-23T01:32:32.9535291Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9535359Z import torch
2022-11-23T01:32:32.9535434Z import random
2022-11-23T01:32:32.9535556Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9535685Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9535690Z 
2022-11-23T01:32:32.9535774Z aten = torch.ops.aten
2022-11-23T01:32:32.9535916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9536014Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9536019Z 
2022-11-23T01:32:32.9536088Z import triton
2022-11-23T01:32:32.9536220Z import triton.language as tl
2022-11-23T01:32:32.9536354Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9536498Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9536503Z 
2022-11-23T01:32:32.9536508Z 
2022-11-23T01:32:32.9536673Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9536884Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9537013Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9537125Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9537228Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9537297Z {
2022-11-23T01:32:32.9537402Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9537469Z     {
2022-11-23T01:32:32.9537552Z         #pragma omp for 
2022-11-23T01:32:32.9537642Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:32.9537711Z         {
2022-11-23T01:32:32.9537776Z             {
2022-11-23T01:32:32.9537846Z                 {
2022-11-23T01:32:32.9537946Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9538043Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9538162Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9538260Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9538354Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9538427Z                 }
2022-11-23T01:32:32.9538511Z             }
2022-11-23T01:32:32.9538585Z         }
2022-11-23T01:32:32.9538669Z     }
2022-11-23T01:32:32.9538756Z }
2022-11-23T01:32:32.9539108Z ''')
2022-11-23T01:32:32.9539118Z 
2022-11-23T01:32:32.9539124Z 
2022-11-23T01:32:32.9539255Z async_compile.wait(globals())
2022-11-23T01:32:32.9539354Z del async_compile
2022-11-23T01:32:32.9539361Z 
2022-11-23T01:32:32.9539456Z def call(args):
2022-11-23T01:32:32.9539539Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9539619Z     args.clear()
2022-11-23T01:32:32.9539831Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9540005Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9540080Z     del arg0_1
2022-11-23T01:32:32.9540149Z     del arg1_1
2022-11-23T01:32:32.9540225Z     return (buf0, )
2022-11-23T01:32:32.9540231Z 
2022-11-23T01:32:32.9540235Z 
2022-11-23T01:32:32.9540316Z if __name__ == "__main__":
2022-11-23T01:32:32.9540435Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9540566Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9540769Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9540969Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9541091Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9541096Z 
2022-11-23T01:32:32.9541163Z ok (1.570s)
2022-11-23T01:32:32.9541497Z   test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9541811Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9542034Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9542288Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9542567Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9542883Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9543291Z [2022-11-23 01:31:43,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9543616Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9544025Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9544117Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9544215Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9544296Z               4 BINARY_ADD
2022-11-23T01:32:32.9544391Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9544473Z               8 RETURN_VALUE
2022-11-23T01:32:32.9544538Z  
2022-11-23T01:32:32.9544543Z 
2022-11-23T01:32:32.9544857Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9545071Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9545305Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9545580Z [2022-11-23 01:31:43,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9545822Z [2022-11-23 01:31:43,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9546071Z [2022-11-23 01:31:43,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9546448Z [2022-11-23 01:31:43,202] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9546694Z [2022-11-23 01:31:43,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9546928Z [2022-11-23 01:31:43,202] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9547186Z [2022-11-23 01:31:43,203] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9547440Z [2022-11-23 01:31:43,206] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9547627Z [2022-11-23 01:31:43,206] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9547769Z  __compiled_fn_946 <eval_with_key>.5806 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9547863Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9547956Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9548138Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9548242Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9548247Z 
2022-11-23T01:32:32.9548575Z [2022-11-23 01:31:43,206] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9548676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9548770Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9548863Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9548963Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9549055Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9549149Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9549230Z              12 RETURN_VALUE
2022-11-23T01:32:32.9549235Z 
2022-11-23T01:32:32.9549300Z  
2022-11-23T01:32:32.9549623Z [2022-11-23 01:31:43,206] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9549763Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_946)
2022-11-23T01:32:32.9549862Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9549959Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9550042Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9550158Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9550334Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9550433Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9550531Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9550646Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9550755Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9550851Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9550937Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9551031Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9551113Z              26 RETURN_VALUE
2022-11-23T01:32:32.9551121Z 
2022-11-23T01:32:32.9551180Z  
2022-11-23T01:32:32.9551370Z [2022-11-23 01:31:43,207] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9551446Z  - 
2022-11-23T01:32:32.9551573Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9551643Z             {
2022-11-23T01:32:32.9551792Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9551983Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9552101Z                 'obj_weakref': None
2022-11-23T01:32:32.9552330Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9552401Z             }
2022-11-23T01:32:32.9552470Z             
2022-11-23T01:32:32.9552545Z  - 
2022-11-23T01:32:32.9552673Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9552740Z             {
2022-11-23T01:32:32.9552882Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9552993Z                 'code': None,
2022-11-23T01:32:32.9553212Z                 'obj_weakref': <weakref at 0x7f1f2599e0c0; to 'Tensor' at 0x7f1ffad48d10>
2022-11-23T01:32:32.9553464Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9553536Z             }
2022-11-23T01:32:32.9553604Z             
2022-11-23T01:32:32.9553679Z  - 
2022-11-23T01:32:32.9553799Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9553869Z             {
2022-11-23T01:32:32.9554016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9554128Z                 'code': None,
2022-11-23T01:32:32.9554339Z                 'obj_weakref': <weakref at 0x7f1f2599e430; to 'Tensor' at 0x7f1fd9a8f1f0>
2022-11-23T01:32:32.9554589Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9554656Z             }
2022-11-23T01:32:32.9554724Z             
2022-11-23T01:32:32.9554793Z  - 
2022-11-23T01:32:32.9554932Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9555000Z             {
2022-11-23T01:32:32.9555139Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9555313Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9555443Z                 'obj_weakref': None
2022-11-23T01:32:32.9555669Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9555738Z             }
2022-11-23T01:32:32.9555806Z             
2022-11-23T01:32:32.9555880Z  - 
2022-11-23T01:32:32.9556007Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9556074Z             {
2022-11-23T01:32:32.9556220Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9556434Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9556560Z                 'obj_weakref': None
2022-11-23T01:32:32.9556821Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9556891Z             }
2022-11-23T01:32:32.9556959Z             
2022-11-23T01:32:32.9557227Z [2022-11-23 01:31:43,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 928
2022-11-23T01:32:32.9557620Z [2022-11-23 01:31:44,750] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xl/cxlowq2zdhrswjiel56x7idoeimbzwfg2eaqguxojlnrp6xjfgpc.py
2022-11-23T01:32:32.9557888Z [2022-11-23 01:31:44,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 928
2022-11-23T01:32:32.9557894Z 
2022-11-23T01:32:32.9557993Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9558061Z import torch
2022-11-23T01:32:32.9558135Z import random
2022-11-23T01:32:32.9558257Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9558387Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9558392Z 
2022-11-23T01:32:32.9558478Z aten = torch.ops.aten
2022-11-23T01:32:32.9558617Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9558716Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9558721Z 
2022-11-23T01:32:32.9558788Z import triton
2022-11-23T01:32:32.9558880Z import triton.language as tl
2022-11-23T01:32:32.9559011Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9559155Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9559161Z 
2022-11-23T01:32:32.9559166Z 
2022-11-23T01:32:32.9559305Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9559517Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9559645Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9559759Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9559860Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9559925Z {
2022-11-23T01:32:32.9560032Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9560098Z     {
2022-11-23T01:32:32.9560180Z         #pragma omp for 
2022-11-23T01:32:32.9560269Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:32.9560336Z         {
2022-11-23T01:32:32.9560401Z             {
2022-11-23T01:32:32.9560470Z                 {
2022-11-23T01:32:32.9560568Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9560665Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9560761Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9560852Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9560923Z                 }
2022-11-23T01:32:32.9560985Z             }
2022-11-23T01:32:32.9561053Z         }
2022-11-23T01:32:32.9561121Z     }
2022-11-23T01:32:32.9561191Z }
2022-11-23T01:32:32.9561276Z ''')
2022-11-23T01:32:32.9561282Z 
2022-11-23T01:32:32.9561286Z 
2022-11-23T01:32:32.9561380Z async_compile.wait(globals())
2022-11-23T01:32:32.9561454Z del async_compile
2022-11-23T01:32:32.9561465Z 
2022-11-23T01:32:32.9561535Z def call(args):
2022-11-23T01:32:32.9561615Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9561691Z     args.clear()
2022-11-23T01:32:32.9561903Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9562078Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9562153Z     del arg0_1
2022-11-23T01:32:32.9562224Z     del arg1_1
2022-11-23T01:32:32.9562293Z     return (buf0, )
2022-11-23T01:32:32.9562299Z 
2022-11-23T01:32:32.9562303Z 
2022-11-23T01:32:32.9562383Z if __name__ == "__main__":
2022-11-23T01:32:32.9562504Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9562633Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9562837Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9563084Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9563220Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9563227Z 
2022-11-23T01:32:32.9563314Z ok (1.554s)
2022-11-23T01:32:32.9563640Z   test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9563979Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9564203Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9564458Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9564734Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9565055Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9565395Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9565715Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9566090Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9566188Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9566279Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9566358Z               4 BINARY_ADD
2022-11-23T01:32:32.9566452Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9566536Z               8 RETURN_VALUE
2022-11-23T01:32:32.9566601Z  
2022-11-23T01:32:32.9566606Z 
2022-11-23T01:32:32.9566918Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9567133Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9567371Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9567637Z [2022-11-23 01:31:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9567881Z [2022-11-23 01:31:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9568124Z [2022-11-23 01:31:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9568509Z [2022-11-23 01:31:44,757] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9568760Z [2022-11-23 01:31:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9569000Z [2022-11-23 01:31:44,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9569260Z [2022-11-23 01:31:44,758] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9569514Z [2022-11-23 01:31:44,760] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9569709Z [2022-11-23 01:31:44,760] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9569844Z  __compiled_fn_947 <eval_with_key>.5812 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9569939Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9570064Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9570249Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9570350Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9570355Z 
2022-11-23T01:32:32.9570688Z [2022-11-23 01:31:44,761] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9570813Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9570910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9570997Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9571097Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9571188Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9571283Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9571364Z              12 RETURN_VALUE
2022-11-23T01:32:32.9571369Z 
2022-11-23T01:32:32.9571435Z  
2022-11-23T01:32:32.9571764Z [2022-11-23 01:31:44,761] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9571882Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_947)
2022-11-23T01:32:32.9571973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9572074Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9572157Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9572251Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9572345Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9572427Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9572519Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9572625Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9572732Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9572828Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9572913Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9573022Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9573114Z              26 RETURN_VALUE
2022-11-23T01:32:32.9573120Z 
2022-11-23T01:32:32.9573196Z  
2022-11-23T01:32:32.9573389Z [2022-11-23 01:31:44,761] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9573468Z  - 
2022-11-23T01:32:32.9573594Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9573662Z             {
2022-11-23T01:32:32.9573808Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9574002Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9574127Z                 'obj_weakref': None
2022-11-23T01:32:32.9574350Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9574420Z             }
2022-11-23T01:32:32.9574489Z             
2022-11-23T01:32:32.9574564Z  - 
2022-11-23T01:32:32.9574694Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9574763Z             {
2022-11-23T01:32:32.9574913Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9575019Z                 'code': None,
2022-11-23T01:32:32.9575233Z                 'obj_weakref': <weakref at 0x7f1f259421b0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9575491Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9575559Z             }
2022-11-23T01:32:32.9575628Z             
2022-11-23T01:32:32.9575702Z  - 
2022-11-23T01:32:32.9575830Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9575891Z             {
2022-11-23T01:32:32.9576039Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9576153Z                 'code': None,
2022-11-23T01:32:32.9576364Z                 'obj_weakref': <weakref at 0x7f1f259404f0; to 'Tensor' at 0x7f2151f19080>
2022-11-23T01:32:32.9576652Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9576723Z             }
2022-11-23T01:32:32.9576792Z             
2022-11-23T01:32:32.9576862Z  - 
2022-11-23T01:32:32.9576998Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9577066Z             {
2022-11-23T01:32:32.9577228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9577402Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9577527Z                 'obj_weakref': None
2022-11-23T01:32:32.9577758Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9577829Z             }
2022-11-23T01:32:32.9577891Z             
2022-11-23T01:32:32.9577966Z  - 
2022-11-23T01:32:32.9578094Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9578161Z             {
2022-11-23T01:32:32.9578303Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9578530Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9578649Z                 'obj_weakref': None
2022-11-23T01:32:32.9579076Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9579150Z             }
2022-11-23T01:32:32.9579223Z             
2022-11-23T01:32:32.9579495Z [2022-11-23 01:31:44,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 929
2022-11-23T01:32:32.9579861Z [2022-11-23 01:31:46,323] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v5/cv5p3w7mjvgg5ns22lmsitnddzjujmrhpeefhd5kax5iel6gjhkv.py
2022-11-23T01:32:32.9580129Z [2022-11-23 01:31:46,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 929
2022-11-23T01:32:32.9580135Z 
2022-11-23T01:32:32.9580234Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9580310Z import torch
2022-11-23T01:32:32.9580379Z import random
2022-11-23T01:32:32.9580503Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9580630Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9580635Z 
2022-11-23T01:32:32.9580717Z aten = torch.ops.aten
2022-11-23T01:32:32.9580858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9580957Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9580962Z 
2022-11-23T01:32:32.9581038Z import triton
2022-11-23T01:32:32.9581125Z import triton.language as tl
2022-11-23T01:32:32.9581253Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9581396Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9581401Z 
2022-11-23T01:32:32.9581406Z 
2022-11-23T01:32:32.9581545Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9581757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9581884Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9581996Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9582105Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9582165Z {
2022-11-23T01:32:32.9582268Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9582335Z     {
2022-11-23T01:32:32.9582433Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9582519Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9582588Z         {
2022-11-23T01:32:32.9582680Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9582743Z             {
2022-11-23T01:32:32.9582814Z                 {
2022-11-23T01:32:32.9582886Z                     {
2022-11-23T01:32:32.9582996Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9583100Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9583219Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9583318Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9583473Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9583547Z                     }
2022-11-23T01:32:32.9583616Z                 }
2022-11-23T01:32:32.9583684Z             }
2022-11-23T01:32:32.9583750Z         }
2022-11-23T01:32:32.9583817Z     }
2022-11-23T01:32:32.9583903Z }
2022-11-23T01:32:32.9583990Z ''')
2022-11-23T01:32:32.9583996Z 
2022-11-23T01:32:32.9584000Z 
2022-11-23T01:32:32.9584095Z async_compile.wait(globals())
2022-11-23T01:32:32.9584172Z del async_compile
2022-11-23T01:32:32.9584177Z 
2022-11-23T01:32:32.9584252Z def call(args):
2022-11-23T01:32:32.9584332Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9584407Z     args.clear()
2022-11-23T01:32:32.9584612Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9584777Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9584852Z     del arg0_1
2022-11-23T01:32:32.9584925Z     del arg1_1
2022-11-23T01:32:32.9585003Z     return (buf0, )
2022-11-23T01:32:32.9585009Z 
2022-11-23T01:32:32.9585013Z 
2022-11-23T01:32:32.9585094Z if __name__ == "__main__":
2022-11-23T01:32:32.9585216Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9585345Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9585544Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9585737Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9585859Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9585864Z 
2022-11-23T01:32:32.9585935Z ok (1.573s)
2022-11-23T01:32:32.9586269Z   test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9586588Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9586809Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9587061Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9587339Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9587655Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9587989Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9588306Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9588692Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9588790Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9588890Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9588968Z               4 BINARY_ADD
2022-11-23T01:32:32.9589062Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9589144Z               8 RETURN_VALUE
2022-11-23T01:32:32.9589203Z  
2022-11-23T01:32:32.9589209Z 
2022-11-23T01:32:32.9589524Z [2022-11-23 01:31:46,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9589742Z [2022-11-23 01:31:46,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9589984Z [2022-11-23 01:31:46,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9590386Z [2022-11-23 01:31:46,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9590671Z [2022-11-23 01:31:46,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9590963Z [2022-11-23 01:31:46,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9591345Z [2022-11-23 01:31:46,331] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9591591Z [2022-11-23 01:31:46,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9591828Z [2022-11-23 01:31:46,331] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9592084Z [2022-11-23 01:31:46,332] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9592335Z [2022-11-23 01:31:46,334] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9592527Z [2022-11-23 01:31:46,335] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9592671Z  __compiled_fn_948 <eval_with_key>.5818 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9592767Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9592859Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9593039Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9593144Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9593149Z 
2022-11-23T01:32:32.9593466Z [2022-11-23 01:31:46,335] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9593568Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9593668Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9593760Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9593860Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9593951Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9594047Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9594125Z              12 RETURN_VALUE
2022-11-23T01:32:32.9594137Z 
2022-11-23T01:32:32.9594196Z  
2022-11-23T01:32:32.9594515Z [2022-11-23 01:31:46,335] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9594637Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_948)
2022-11-23T01:32:32.9594734Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9594830Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9594911Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9595006Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9595097Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9595176Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9595269Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9595380Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9595492Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9595588Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9595669Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9595756Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9595837Z              26 RETURN_VALUE
2022-11-23T01:32:32.9595842Z 
2022-11-23T01:32:32.9595908Z  
2022-11-23T01:32:32.9596094Z [2022-11-23 01:31:46,336] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9596169Z  - 
2022-11-23T01:32:32.9596293Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9596360Z             {
2022-11-23T01:32:32.9596497Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9596718Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9596843Z                 'obj_weakref': None
2022-11-23T01:32:32.9597066Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9597157Z             }
2022-11-23T01:32:32.9597224Z             
2022-11-23T01:32:32.9597300Z  - 
2022-11-23T01:32:32.9597422Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9597494Z             {
2022-11-23T01:32:32.9597640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9597751Z                 'code': None,
2022-11-23T01:32:32.9597967Z                 'obj_weakref': <weakref at 0x7f1fd9bcf790; to 'Tensor' at 0x7f2023067ab0>
2022-11-23T01:32:32.9598215Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9598286Z             }
2022-11-23T01:32:32.9598354Z             
2022-11-23T01:32:32.9598426Z  - 
2022-11-23T01:32:32.9598553Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9598622Z             {
2022-11-23T01:32:32.9598769Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9598879Z                 'code': None,
2022-11-23T01:32:32.9599092Z                 'obj_weakref': <weakref at 0x7f1f2599fba0; to 'Tensor' at 0x7f1fd8374ef0>
2022-11-23T01:32:32.9599341Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9599404Z             }
2022-11-23T01:32:32.9599472Z             
2022-11-23T01:32:32.9599547Z  - 
2022-11-23T01:32:32.9599684Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9599752Z             {
2022-11-23T01:32:32.9599894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9600061Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9600185Z                 'obj_weakref': None
2022-11-23T01:32:32.9600415Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9600484Z             }
2022-11-23T01:32:32.9600553Z             
2022-11-23T01:32:32.9600627Z  - 
2022-11-23T01:32:32.9600754Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9600819Z             {
2022-11-23T01:32:32.9600960Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9601178Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9601300Z                 'obj_weakref': None
2022-11-23T01:32:32.9601525Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9601593Z             }
2022-11-23T01:32:32.9601661Z             
2022-11-23T01:32:32.9601927Z [2022-11-23 01:31:46,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 930
2022-11-23T01:32:32.9602293Z [2022-11-23 01:31:47,877] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oh/cohu5asksptpsr64jlrle7wik6ajca2xtno3k3jlrkmctwacjt2b.py
2022-11-23T01:32:32.9602562Z [2022-11-23 01:31:47,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 930
2022-11-23T01:32:32.9602568Z 
2022-11-23T01:32:32.9602670Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9602746Z import torch
2022-11-23T01:32:32.9602820Z import random
2022-11-23T01:32:32.9602941Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9603069Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9603076Z 
2022-11-23T01:32:32.9603179Z aten = torch.ops.aten
2022-11-23T01:32:32.9603330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9603435Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9603440Z 
2022-11-23T01:32:32.9603513Z import triton
2022-11-23T01:32:32.9603605Z import triton.language as tl
2022-11-23T01:32:32.9603766Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9603913Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9603918Z 
2022-11-23T01:32:32.9603923Z 
2022-11-23T01:32:32.9604061Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9604273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9604426Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9604539Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9604648Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9604717Z {
2022-11-23T01:32:32.9604821Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9604886Z     {
2022-11-23T01:32:32.9604982Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9605062Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9605130Z         {
2022-11-23T01:32:32.9605222Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9605294Z             {
2022-11-23T01:32:32.9605366Z                 {
2022-11-23T01:32:32.9605438Z                     {
2022-11-23T01:32:32.9605549Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9605655Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9605778Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9605877Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9605982Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9606054Z                     }
2022-11-23T01:32:32.9606122Z                 }
2022-11-23T01:32:32.9606189Z             }
2022-11-23T01:32:32.9606251Z         }
2022-11-23T01:32:32.9606317Z     }
2022-11-23T01:32:32.9606383Z }
2022-11-23T01:32:32.9606469Z ''')
2022-11-23T01:32:32.9606474Z 
2022-11-23T01:32:32.9606479Z 
2022-11-23T01:32:32.9606579Z async_compile.wait(globals())
2022-11-23T01:32:32.9606657Z del async_compile
2022-11-23T01:32:32.9606662Z 
2022-11-23T01:32:32.9606741Z def call(args):
2022-11-23T01:32:32.9606815Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9606890Z     args.clear()
2022-11-23T01:32:32.9607095Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9607265Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9607341Z     del arg0_1
2022-11-23T01:32:32.9607414Z     del arg1_1
2022-11-23T01:32:32.9607490Z     return (buf0, )
2022-11-23T01:32:32.9607495Z 
2022-11-23T01:32:32.9607499Z 
2022-11-23T01:32:32.9607575Z if __name__ == "__main__":
2022-11-23T01:32:32.9607694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9607823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9608027Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9608225Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9608349Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9608354Z 
2022-11-23T01:32:32.9608427Z ok (1.554s)
2022-11-23T01:32:32.9608769Z   test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9609091Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9609305Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9609558Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9609835Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9610183Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9610527Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9610873Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9611259Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9611358Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9611457Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9611529Z               4 BINARY_ADD
2022-11-23T01:32:32.9611626Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9611713Z               8 RETURN_VALUE
2022-11-23T01:32:32.9611779Z  
2022-11-23T01:32:32.9611784Z 
2022-11-23T01:32:32.9612102Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9612321Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9612564Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9612843Z [2022-11-23 01:31:47,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9613121Z [2022-11-23 01:31:47,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9613383Z [2022-11-23 01:31:47,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9613768Z [2022-11-23 01:31:47,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9614021Z [2022-11-23 01:31:47,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9614263Z [2022-11-23 01:31:47,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9614523Z [2022-11-23 01:31:47,886] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9614776Z [2022-11-23 01:31:47,888] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9614970Z [2022-11-23 01:31:47,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9615113Z  __compiled_fn_949 <eval_with_key>.5824 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9615208Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9615294Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9615479Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9615581Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9615587Z 
2022-11-23T01:32:32.9615918Z [2022-11-23 01:31:47,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9616027Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9616126Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9616223Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9616324Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9616411Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9616506Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9616590Z              12 RETURN_VALUE
2022-11-23T01:32:32.9616595Z 
2022-11-23T01:32:32.9616661Z  
2022-11-23T01:32:32.9617018Z [2022-11-23 01:31:47,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9617138Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_949)
2022-11-23T01:32:32.9617235Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9617348Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9617433Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9617528Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9617622Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9617704Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9617799Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9617912Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9618015Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9618110Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9618191Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9618287Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9618368Z              26 RETURN_VALUE
2022-11-23T01:32:32.9618374Z 
2022-11-23T01:32:32.9618438Z  
2022-11-23T01:32:32.9618628Z [2022-11-23 01:31:47,890] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9618706Z  - 
2022-11-23T01:32:32.9619009Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9619083Z             {
2022-11-23T01:32:32.9619234Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9619427Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9619554Z                 'obj_weakref': None
2022-11-23T01:32:32.9619780Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9619849Z             }
2022-11-23T01:32:32.9619910Z             
2022-11-23T01:32:32.9619986Z  - 
2022-11-23T01:32:32.9620116Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9620187Z             {
2022-11-23T01:32:32.9620343Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9620456Z                 'code': None,
2022-11-23T01:32:32.9620666Z                 'obj_weakref': <weakref at 0x7f2072828e00; to 'Tensor' at 0x7f1fd817b8d0>
2022-11-23T01:32:32.9620921Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9620992Z             }
2022-11-23T01:32:32.9621059Z             
2022-11-23T01:32:32.9621135Z  - 
2022-11-23T01:32:32.9621264Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9621331Z             {
2022-11-23T01:32:32.9621473Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9621585Z                 'code': None,
2022-11-23T01:32:32.9621796Z                 'obj_weakref': <weakref at 0x7f1f25941a30; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9622049Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9622120Z             }
2022-11-23T01:32:32.9622188Z             
2022-11-23T01:32:32.9622264Z  - 
2022-11-23T01:32:32.9622401Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9622463Z             {
2022-11-23T01:32:32.9622604Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9622783Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9622909Z                 'obj_weakref': None
2022-11-23T01:32:32.9623140Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9623209Z             }
2022-11-23T01:32:32.9623275Z             
2022-11-23T01:32:32.9623344Z  - 
2022-11-23T01:32:32.9623470Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9623538Z             {
2022-11-23T01:32:32.9623679Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9623948Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9624075Z                 'obj_weakref': None
2022-11-23T01:32:32.9624300Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9624362Z             }
2022-11-23T01:32:32.9624431Z             
2022-11-23T01:32:32.9624728Z [2022-11-23 01:31:47,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 931
2022-11-23T01:32:32.9625095Z [2022-11-23 01:31:49,436] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cim4hbrgtheyvgpflh4up3tcsy72rv6j3wkoy4fhmgqi27gnjdug.py
2022-11-23T01:32:32.9625365Z [2022-11-23 01:31:49,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 931
2022-11-23T01:32:32.9625371Z 
2022-11-23T01:32:32.9625473Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9625548Z import torch
2022-11-23T01:32:32.9625621Z import random
2022-11-23T01:32:32.9625736Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9625867Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9625872Z 
2022-11-23T01:32:32.9625955Z aten = torch.ops.aten
2022-11-23T01:32:32.9626096Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9626192Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9626200Z 
2022-11-23T01:32:32.9626274Z import triton
2022-11-23T01:32:32.9626366Z import triton.language as tl
2022-11-23T01:32:32.9626487Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9626631Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9626636Z 
2022-11-23T01:32:32.9626641Z 
2022-11-23T01:32:32.9626778Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9626988Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9627117Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:32.9627233Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9627341Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9627407Z {
2022-11-23T01:32:32.9627504Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9627571Z     {
2022-11-23T01:32:32.9627668Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9627758Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9627828Z         {
2022-11-23T01:32:32.9627920Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9627988Z             {
2022-11-23T01:32:32.9628051Z                 {
2022-11-23T01:32:32.9628121Z                     {
2022-11-23T01:32:32.9628230Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:32.9628338Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:32.9628457Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:32.9628560Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9628665Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9628730Z                     }
2022-11-23T01:32:32.9628800Z                 }
2022-11-23T01:32:32.9628867Z             }
2022-11-23T01:32:32.9628934Z         }
2022-11-23T01:32:32.9629000Z     }
2022-11-23T01:32:32.9629066Z }
2022-11-23T01:32:32.9629147Z ''')
2022-11-23T01:32:32.9629159Z 
2022-11-23T01:32:32.9629164Z 
2022-11-23T01:32:32.9629252Z async_compile.wait(globals())
2022-11-23T01:32:32.9629328Z del async_compile
2022-11-23T01:32:32.9629333Z 
2022-11-23T01:32:32.9629408Z def call(args):
2022-11-23T01:32:32.9629489Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9629565Z     args.clear()
2022-11-23T01:32:32.9629767Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9629938Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9630005Z     del arg0_1
2022-11-23T01:32:32.9630077Z     del arg1_1
2022-11-23T01:32:32.9630153Z     return (buf0, )
2022-11-23T01:32:32.9630197Z 
2022-11-23T01:32:32.9630202Z 
2022-11-23T01:32:32.9630351Z if __name__ == "__main__":
2022-11-23T01:32:32.9630487Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9630639Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9630879Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9631078Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9631194Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9631199Z 
2022-11-23T01:32:32.9631272Z ok (1.559s)
2022-11-23T01:32:32.9631609Z   test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:49,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9631924Z [2022-11-23 01:31:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9632149Z [2022-11-23 01:31:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9632405Z [2022-11-23 01:31:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9632686Z [2022-11-23 01:31:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9633003Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9633345Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9633665Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9634035Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9634137Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9634239Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9634319Z               4 BINARY_ADD
2022-11-23T01:32:32.9634414Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9634496Z               8 RETURN_VALUE
2022-11-23T01:32:32.9634562Z  
2022-11-23T01:32:32.9634567Z 
2022-11-23T01:32:32.9634879Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9635086Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9635328Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9635602Z [2022-11-23 01:31:49,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9635844Z [2022-11-23 01:31:49,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9636092Z [2022-11-23 01:31:49,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9636470Z [2022-11-23 01:31:49,443] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9636714Z [2022-11-23 01:31:49,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9636950Z [2022-11-23 01:31:49,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9637235Z [2022-11-23 01:31:49,444] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9637486Z [2022-11-23 01:31:49,447] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9637680Z [2022-11-23 01:31:49,447] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9637846Z  __compiled_fn_950 <eval_with_key>.5830 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9637941Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9638036Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9638221Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9638323Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9638328Z 
2022-11-23T01:32:32.9638652Z [2022-11-23 01:31:49,447] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9638754Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9638846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9638943Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9639047Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9639140Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9639237Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9639323Z              12 RETURN_VALUE
2022-11-23T01:32:32.9639328Z 
2022-11-23T01:32:32.9639397Z  
2022-11-23T01:32:32.9639706Z [2022-11-23 01:31:49,447] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9639823Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_950)
2022-11-23T01:32:32.9639922Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9640018Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9640100Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9640195Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9640294Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9640370Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9640465Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9640581Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9640693Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9640789Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9640871Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9640965Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9641046Z              26 RETURN_VALUE
2022-11-23T01:32:32.9641051Z 
2022-11-23T01:32:32.9641111Z  
2022-11-23T01:32:32.9641299Z [2022-11-23 01:31:49,448] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9641376Z  - 
2022-11-23T01:32:32.9641501Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9641571Z             {
2022-11-23T01:32:32.9641716Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9641909Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9642027Z                 'obj_weakref': None
2022-11-23T01:32:32.9642254Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9642326Z             }
2022-11-23T01:32:32.9642394Z             
2022-11-23T01:32:32.9642470Z  - 
2022-11-23T01:32:32.9642600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9642669Z             {
2022-11-23T01:32:32.9642810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9642921Z                 'code': None,
2022-11-23T01:32:32.9643168Z                 'obj_weakref': <weakref at 0x7f1fd8374ef0; to 'Tensor' at 0x7f1fd9bcda80>
2022-11-23T01:32:32.9643437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9643507Z             }
2022-11-23T01:32:32.9643577Z             
2022-11-23T01:32:32.9643654Z  - 
2022-11-23T01:32:32.9643802Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9643873Z             {
2022-11-23T01:32:32.9644020Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9644133Z                 'code': None,
2022-11-23T01:32:32.9644350Z                 'obj_weakref': <weakref at 0x7f1f25ad49f0; to 'Tensor' at 0x7f1fd817b8d0>
2022-11-23T01:32:32.9644625Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9644697Z             }
2022-11-23T01:32:32.9644759Z             
2022-11-23T01:32:32.9644835Z  - 
2022-11-23T01:32:32.9644971Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9645041Z             {
2022-11-23T01:32:32.9645183Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9645356Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9645479Z                 'obj_weakref': None
2022-11-23T01:32:32.9645705Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9645776Z             }
2022-11-23T01:32:32.9645844Z             
2022-11-23T01:32:32.9645920Z  - 
2022-11-23T01:32:32.9646046Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9646119Z             {
2022-11-23T01:32:32.9646259Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9646470Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9646592Z                 'obj_weakref': None
2022-11-23T01:32:32.9646818Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9646887Z             }
2022-11-23T01:32:32.9646954Z             
2022-11-23T01:32:32.9647217Z [2022-11-23 01:31:49,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 932
2022-11-23T01:32:32.9647582Z [2022-11-23 01:31:50,992] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu7dd37fdgvjotz75oqyossfdvzfdpnboxg5zxzb2efby7yuyo3o.py
2022-11-23T01:32:32.9647854Z [2022-11-23 01:31:50,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 932
2022-11-23T01:32:32.9647860Z 
2022-11-23T01:32:32.9647958Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9648033Z import torch
2022-11-23T01:32:32.9648109Z import random
2022-11-23T01:32:32.9648233Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9648361Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9648366Z 
2022-11-23T01:32:32.9648453Z aten = torch.ops.aten
2022-11-23T01:32:32.9648597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9648689Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9648701Z 
2022-11-23T01:32:32.9648769Z import triton
2022-11-23T01:32:32.9648862Z import triton.language as tl
2022-11-23T01:32:32.9648990Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9649138Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9649143Z 
2022-11-23T01:32:32.9649148Z 
2022-11-23T01:32:32.9649286Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9649499Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9649625Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9649732Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9649840Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9649908Z {
2022-11-23T01:32:32.9650012Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9650080Z     {
2022-11-23T01:32:32.9650166Z         #pragma omp for 
2022-11-23T01:32:32.9650256Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9650318Z         {
2022-11-23T01:32:32.9650387Z             {
2022-11-23T01:32:32.9650461Z                 {
2022-11-23T01:32:32.9650588Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9650688Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:32.9650803Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9650901Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9651011Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9651082Z                 }
2022-11-23T01:32:32.9651150Z             }
2022-11-23T01:32:32.9651217Z         }
2022-11-23T01:32:32.9651285Z     }
2022-11-23T01:32:32.9651350Z }
2022-11-23T01:32:32.9651431Z ''')
2022-11-23T01:32:32.9651442Z 
2022-11-23T01:32:32.9651447Z 
2022-11-23T01:32:32.9651535Z async_compile.wait(globals())
2022-11-23T01:32:32.9651613Z del async_compile
2022-11-23T01:32:32.9651618Z 
2022-11-23T01:32:32.9651694Z def call(args):
2022-11-23T01:32:32.9651775Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9651852Z     args.clear()
2022-11-23T01:32:32.9652049Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9652222Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9652290Z     del arg0_1
2022-11-23T01:32:32.9652362Z     del arg1_1
2022-11-23T01:32:32.9652439Z     return (buf0, )
2022-11-23T01:32:32.9652447Z 
2022-11-23T01:32:32.9652452Z 
2022-11-23T01:32:32.9652533Z if __name__ == "__main__":
2022-11-23T01:32:32.9652654Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9652785Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9653003Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9653223Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9653339Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9653344Z 
2022-11-23T01:32:32.9653417Z ok (1.555s)
2022-11-23T01:32:32.9653754Z   test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9654070Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9654293Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9654553Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9654829Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9655146Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9655488Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9655807Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9656176Z [2022-11-23 01:31:50,997] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9656281Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9656381Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9656461Z               4 BINARY_ADD
2022-11-23T01:32:32.9656556Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9656641Z               8 RETURN_VALUE
2022-11-23T01:32:32.9656710Z  
2022-11-23T01:32:32.9656715Z 
2022-11-23T01:32:32.9657026Z [2022-11-23 01:31:50,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9657267Z [2022-11-23 01:31:50,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9657513Z [2022-11-23 01:31:50,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9657791Z [2022-11-23 01:31:50,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9658063Z [2022-11-23 01:31:50,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9658312Z [2022-11-23 01:31:50,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9658697Z [2022-11-23 01:31:50,999] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9659136Z [2022-11-23 01:31:50,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9659383Z [2022-11-23 01:31:50,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9659642Z [2022-11-23 01:31:51,000] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9659894Z [2022-11-23 01:31:51,002] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9660091Z [2022-11-23 01:31:51,002] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9660233Z  __compiled_fn_951 <eval_with_key>.5836 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9660337Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9660431Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9660615Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9660716Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9660722Z 
2022-11-23T01:32:32.9661055Z [2022-11-23 01:31:51,003] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9661156Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9661249Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9661342Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9661445Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9661538Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9661633Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9661718Z              12 RETURN_VALUE
2022-11-23T01:32:32.9661723Z 
2022-11-23T01:32:32.9661788Z  
2022-11-23T01:32:32.9662107Z [2022-11-23 01:31:51,003] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9662226Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_951)
2022-11-23T01:32:32.9662324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9662423Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9662505Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9662604Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9662703Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9662781Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9662875Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9662988Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9663102Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9663202Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9663284Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9663379Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9663461Z              26 RETURN_VALUE
2022-11-23T01:32:32.9663466Z 
2022-11-23T01:32:32.9663525Z  
2022-11-23T01:32:32.9663716Z [2022-11-23 01:31:51,004] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9663846Z  - 
2022-11-23T01:32:32.9663977Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9664051Z             {
2022-11-23T01:32:32.9664198Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9664392Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9664541Z                 'obj_weakref': None
2022-11-23T01:32:32.9664773Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9664844Z             }
2022-11-23T01:32:32.9664912Z             
2022-11-23T01:32:32.9664989Z  - 
2022-11-23T01:32:32.9665119Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9665188Z             {
2022-11-23T01:32:32.9665330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9665444Z                 'code': None,
2022-11-23T01:32:32.9665659Z                 'obj_weakref': <weakref at 0x7f1f25968f40; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9665914Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9665984Z             }
2022-11-23T01:32:32.9666053Z             
2022-11-23T01:32:32.9666129Z  - 
2022-11-23T01:32:32.9666251Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9666323Z             {
2022-11-23T01:32:32.9666471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9666583Z                 'code': None,
2022-11-23T01:32:32.9666796Z                 'obj_weakref': <weakref at 0x7f1f25969530; to 'Tensor' at 0x7f1fd9bcda80>
2022-11-23T01:32:32.9667052Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9667120Z             }
2022-11-23T01:32:32.9667183Z             
2022-11-23T01:32:32.9667261Z  - 
2022-11-23T01:32:32.9667397Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9667466Z             {
2022-11-23T01:32:32.9667611Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9667790Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9667914Z                 'obj_weakref': None
2022-11-23T01:32:32.9668142Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9668214Z             }
2022-11-23T01:32:32.9668285Z             
2022-11-23T01:32:32.9668360Z  - 
2022-11-23T01:32:32.9668488Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9668557Z             {
2022-11-23T01:32:32.9668699Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9668914Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9669038Z                 'obj_weakref': None
2022-11-23T01:32:32.9669265Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9669334Z             }
2022-11-23T01:32:32.9669406Z             
2022-11-23T01:32:32.9669672Z [2022-11-23 01:31:51,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 933
2022-11-23T01:32:32.9670041Z [2022-11-23 01:31:52,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fo/cfolb6dcwpedlqpnfymvgtr7n5gon6wrlm45w52qq63fgvjuxnaf.py
2022-11-23T01:32:32.9670377Z [2022-11-23 01:31:52,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 933
2022-11-23T01:32:32.9670385Z 
2022-11-23T01:32:32.9670486Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9670565Z import torch
2022-11-23T01:32:32.9670641Z import random
2022-11-23T01:32:32.9670763Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9670891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9670897Z 
2022-11-23T01:32:32.9670980Z aten = torch.ops.aten
2022-11-23T01:32:32.9671122Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9671245Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9671251Z 
2022-11-23T01:32:32.9671326Z import triton
2022-11-23T01:32:32.9671419Z import triton.language as tl
2022-11-23T01:32:32.9671550Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9671693Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9671720Z 
2022-11-23T01:32:32.9671725Z 
2022-11-23T01:32:32.9671867Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9672083Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9672210Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9672320Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9672428Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9672498Z {
2022-11-23T01:32:32.9672604Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9672673Z     {
2022-11-23T01:32:32.9672774Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9672863Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9672925Z         {
2022-11-23T01:32:32.9673019Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9673087Z             {
2022-11-23T01:32:32.9673157Z                 {
2022-11-23T01:32:32.9673235Z                     {
2022-11-23T01:32:32.9673338Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.9673438Z                         auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:32.9673552Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9673652Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9673757Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9673830Z                     }
2022-11-23T01:32:32.9673900Z                 }
2022-11-23T01:32:32.9673968Z             }
2022-11-23T01:32:32.9674036Z         }
2022-11-23T01:32:32.9674098Z     }
2022-11-23T01:32:32.9674164Z }
2022-11-23T01:32:32.9674250Z ''')
2022-11-23T01:32:32.9674259Z 
2022-11-23T01:32:32.9674264Z 
2022-11-23T01:32:32.9674364Z async_compile.wait(globals())
2022-11-23T01:32:32.9674442Z del async_compile
2022-11-23T01:32:32.9674448Z 
2022-11-23T01:32:32.9674524Z def call(args):
2022-11-23T01:32:32.9674606Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9674679Z     args.clear()
2022-11-23T01:32:32.9674891Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9675064Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9675140Z     del arg0_1
2022-11-23T01:32:32.9675212Z     del arg1_1
2022-11-23T01:32:32.9675289Z     return (buf0, )
2022-11-23T01:32:32.9675294Z 
2022-11-23T01:32:32.9675299Z 
2022-11-23T01:32:32.9675380Z if __name__ == "__main__":
2022-11-23T01:32:32.9675501Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9675624Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9675821Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9676033Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9676155Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9676163Z 
2022-11-23T01:32:32.9676235Z ok (1.571s)
2022-11-23T01:32:32.9676570Z   test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:52,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9676885Z [2022-11-23 01:31:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9677107Z [2022-11-23 01:31:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9677355Z [2022-11-23 01:31:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9677682Z [2022-11-23 01:31:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9678003Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9678368Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9678694Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9679081Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9679182Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9679282Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9679362Z               4 BINARY_ADD
2022-11-23T01:32:32.9679459Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9679536Z               8 RETURN_VALUE
2022-11-23T01:32:32.9679603Z  
2022-11-23T01:32:32.9679608Z 
2022-11-23T01:32:32.9679932Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9680152Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9680396Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9680675Z [2022-11-23 01:31:52,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9680924Z [2022-11-23 01:31:52,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9681175Z [2022-11-23 01:31:52,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9681553Z [2022-11-23 01:31:52,570] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9681808Z [2022-11-23 01:31:52,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9682050Z [2022-11-23 01:31:52,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9682314Z [2022-11-23 01:31:52,571] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9682568Z [2022-11-23 01:31:52,575] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9682764Z [2022-11-23 01:31:52,576] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9682908Z  __compiled_fn_952 <eval_with_key>.5842 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9683024Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9683125Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9683325Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9683430Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9683435Z 
2022-11-23T01:32:32.9683767Z [2022-11-23 01:31:52,576] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9683869Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9683968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9684061Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9684167Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9684261Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9684351Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9684461Z              12 RETURN_VALUE
2022-11-23T01:32:32.9684467Z 
2022-11-23T01:32:32.9684533Z  
2022-11-23T01:32:32.9684861Z [2022-11-23 01:31:52,576] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9685004Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_952)
2022-11-23T01:32:32.9685103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9685202Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9685279Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9685377Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9685473Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9685558Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9685651Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9685766Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9685880Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9685978Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9686054Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9686148Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9686232Z              26 RETURN_VALUE
2022-11-23T01:32:32.9686237Z 
2022-11-23T01:32:32.9686303Z  
2022-11-23T01:32:32.9686493Z [2022-11-23 01:31:52,577] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9686570Z  - 
2022-11-23T01:32:32.9686697Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9686761Z             {
2022-11-23T01:32:32.9686911Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9687105Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9687231Z                 'obj_weakref': None
2022-11-23T01:32:32.9687458Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9687533Z             }
2022-11-23T01:32:32.9687601Z             
2022-11-23T01:32:32.9687671Z  - 
2022-11-23T01:32:32.9687803Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9687874Z             {
2022-11-23T01:32:32.9688023Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9688140Z                 'code': None,
2022-11-23T01:32:32.9688355Z                 'obj_weakref': <weakref at 0x7f1f25ab08b0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9688609Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9688672Z             }
2022-11-23T01:32:32.9688742Z             
2022-11-23T01:32:32.9688819Z  - 
2022-11-23T01:32:32.9688946Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9689015Z             {
2022-11-23T01:32:32.9689164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9689277Z                 'code': None,
2022-11-23T01:32:32.9689488Z                 'obj_weakref': <weakref at 0x7f1f25ab2f70; to 'Tensor' at 0x7f1f25ec02c0>
2022-11-23T01:32:32.9689745Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9689815Z             }
2022-11-23T01:32:32.9689885Z             
2022-11-23T01:32:32.9689964Z  - 
2022-11-23T01:32:32.9690102Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9690171Z             {
2022-11-23T01:32:32.9690305Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9690482Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9690606Z                 'obj_weakref': None
2022-11-23T01:32:32.9690839Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9690908Z             }
2022-11-23T01:32:32.9690976Z             
2022-11-23T01:32:32.9691053Z  - 
2022-11-23T01:32:32.9691175Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9691282Z             {
2022-11-23T01:32:32.9691427Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9691652Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9691776Z                 'obj_weakref': None
2022-11-23T01:32:32.9692042Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9692114Z             }
2022-11-23T01:32:32.9692176Z             
2022-11-23T01:32:32.9692449Z [2022-11-23 01:31:52,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 934
2022-11-23T01:32:32.9692823Z [2022-11-23 01:31:54,138] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wf/cwfpw64cqmghjmxj2vunpbce7zsiad3ad3fuda5azlkr34jjcl33.py
2022-11-23T01:32:32.9693135Z [2022-11-23 01:31:54,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 934
2022-11-23T01:32:32.9693142Z 
2022-11-23T01:32:32.9693252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9693328Z import torch
2022-11-23T01:32:32.9693403Z import random
2022-11-23T01:32:32.9693525Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9693647Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9693654Z 
2022-11-23T01:32:32.9693737Z aten = torch.ops.aten
2022-11-23T01:32:32.9693881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9693983Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9693988Z 
2022-11-23T01:32:32.9694063Z import triton
2022-11-23T01:32:32.9694158Z import triton.language as tl
2022-11-23T01:32:32.9694286Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9694424Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9694435Z 
2022-11-23T01:32:32.9694440Z 
2022-11-23T01:32:32.9694572Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9694787Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9694913Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9695026Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9695134Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9695203Z {
2022-11-23T01:32:32.9695311Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9695372Z     {
2022-11-23T01:32:32.9695455Z         #pragma omp for 
2022-11-23T01:32:32.9695548Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9695621Z         {
2022-11-23T01:32:32.9695690Z             {
2022-11-23T01:32:32.9695761Z                 {
2022-11-23T01:32:32.9695860Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9695953Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:32.9696068Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9696167Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9696263Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:32.9696333Z                 }
2022-11-23T01:32:32.9696401Z             }
2022-11-23T01:32:32.9696469Z         }
2022-11-23T01:32:32.9696530Z     }
2022-11-23T01:32:32.9696596Z }
2022-11-23T01:32:32.9696681Z ''')
2022-11-23T01:32:32.9696689Z 
2022-11-23T01:32:32.9696694Z 
2022-11-23T01:32:32.9696787Z async_compile.wait(globals())
2022-11-23T01:32:32.9696867Z del async_compile
2022-11-23T01:32:32.9696872Z 
2022-11-23T01:32:32.9696948Z def call(args):
2022-11-23T01:32:32.9697028Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9697099Z     args.clear()
2022-11-23T01:32:32.9697297Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9697469Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9697542Z     del arg0_1
2022-11-23T01:32:32.9697614Z     del arg1_1
2022-11-23T01:32:32.9697692Z     return (buf0, )
2022-11-23T01:32:32.9697697Z 
2022-11-23T01:32:32.9697730Z 
2022-11-23T01:32:32.9697813Z if __name__ == "__main__":
2022-11-23T01:32:32.9697934Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9698058Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9698254Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9698472Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9698594Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9698600Z 
2022-11-23T01:32:32.9698671Z ok (1.586s)
2022-11-23T01:32:32.9699196Z   test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9699515Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9699741Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9699992Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9700271Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9700592Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9700934Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9701255Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9701630Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9701732Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9701832Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9701915Z               4 BINARY_ADD
2022-11-23T01:32:32.9702004Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9702089Z               8 RETURN_VALUE
2022-11-23T01:32:32.9702154Z  
2022-11-23T01:32:32.9702159Z 
2022-11-23T01:32:32.9702474Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9702715Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9702978Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9703253Z [2022-11-23 01:31:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9703497Z [2022-11-23 01:31:54,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9703744Z [2022-11-23 01:31:54,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9704118Z [2022-11-23 01:31:54,157] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9704364Z [2022-11-23 01:31:54,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9704604Z [2022-11-23 01:31:54,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9704864Z [2022-11-23 01:31:54,158] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9705170Z [2022-11-23 01:31:54,160] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9705369Z [2022-11-23 01:31:54,160] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9705514Z  __compiled_fn_953 <eval_with_key>.5848 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9705639Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9705731Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9705909Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9706011Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9706017Z 
2022-11-23T01:32:32.9706350Z [2022-11-23 01:31:54,161] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9706451Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9706549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9706646Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9706748Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9706843Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9706933Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9707015Z              12 RETURN_VALUE
2022-11-23T01:32:32.9707024Z 
2022-11-23T01:32:32.9707089Z  
2022-11-23T01:32:32.9707417Z [2022-11-23 01:31:54,161] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9707536Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_953)
2022-11-23T01:32:32.9707633Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9707730Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9707807Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9707903Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9707999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9708083Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9708177Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9708290Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9708400Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9708498Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9708573Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9708667Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9708748Z              26 RETURN_VALUE
2022-11-23T01:32:32.9708753Z 
2022-11-23T01:32:32.9708818Z  
2022-11-23T01:32:32.9709009Z [2022-11-23 01:31:54,161] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9709085Z  - 
2022-11-23T01:32:32.9709212Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9709276Z             {
2022-11-23T01:32:32.9709423Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9709619Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9709746Z                 'obj_weakref': None
2022-11-23T01:32:32.9709975Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9710044Z             }
2022-11-23T01:32:32.9710117Z             
2022-11-23T01:32:32.9710187Z  - 
2022-11-23T01:32:32.9710391Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9710473Z             {
2022-11-23T01:32:32.9710644Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9710769Z                 'code': None,
2022-11-23T01:32:32.9710984Z                 'obj_weakref': <weakref at 0x7f2151f03a10; to 'Tensor' at 0x7f1ffad4bbf0>
2022-11-23T01:32:32.9711236Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9711300Z             }
2022-11-23T01:32:32.9711370Z             
2022-11-23T01:32:32.9711449Z  - 
2022-11-23T01:32:32.9711577Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9711684Z             {
2022-11-23T01:32:32.9711838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9711955Z                 'code': None,
2022-11-23T01:32:32.9712167Z                 'obj_weakref': <weakref at 0x7f2127a1d4e0; to 'Tensor' at 0x7f1ffad48d10>
2022-11-23T01:32:32.9712445Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9712516Z             }
2022-11-23T01:32:32.9712584Z             
2022-11-23T01:32:32.9712661Z  - 
2022-11-23T01:32:32.9712797Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9712865Z             {
2022-11-23T01:32:32.9713000Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9713178Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9713303Z                 'obj_weakref': None
2022-11-23T01:32:32.9713542Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9713615Z             }
2022-11-23T01:32:32.9713684Z             
2022-11-23T01:32:32.9713760Z  - 
2022-11-23T01:32:32.9713881Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9713950Z             {
2022-11-23T01:32:32.9714092Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9714318Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9714443Z                 'obj_weakref': None
2022-11-23T01:32:32.9714671Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9714741Z             }
2022-11-23T01:32:32.9714803Z             
2022-11-23T01:32:32.9715071Z [2022-11-23 01:31:54,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 935
2022-11-23T01:32:32.9715452Z [2022-11-23 01:31:55,701] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mp/cmpkoxknprbals6vamy3tdpvbdccaklhfgrz2gtay55lczc3n3ge.py
2022-11-23T01:32:32.9715724Z [2022-11-23 01:31:55,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 935
2022-11-23T01:32:32.9715730Z 
2022-11-23T01:32:32.9715830Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9715907Z import torch
2022-11-23T01:32:32.9715982Z import random
2022-11-23T01:32:32.9716105Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9716226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9716232Z 
2022-11-23T01:32:32.9716316Z aten = torch.ops.aten
2022-11-23T01:32:32.9716459Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9716557Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9716562Z 
2022-11-23T01:32:32.9716637Z import triton
2022-11-23T01:32:32.9716729Z import triton.language as tl
2022-11-23T01:32:32.9716859Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9717000Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9717012Z 
2022-11-23T01:32:32.9717017Z 
2022-11-23T01:32:32.9717149Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9717363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9717493Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9717607Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9717720Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9717787Z {
2022-11-23T01:32:32.9717890Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9717951Z     {
2022-11-23T01:32:32.9718046Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9718135Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9718205Z         {
2022-11-23T01:32:32.9718297Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9718365Z             {
2022-11-23T01:32:32.9718435Z                 {
2022-11-23T01:32:32.9718532Z                     {
2022-11-23T01:32:32.9718639Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.9718753Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9718873Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9718998Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9719104Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9719176Z                     }
2022-11-23T01:32:32.9719240Z                 }
2022-11-23T01:32:32.9719308Z             }
2022-11-23T01:32:32.9719378Z         }
2022-11-23T01:32:32.9719446Z     }
2022-11-23T01:32:32.9719511Z }
2022-11-23T01:32:32.9719599Z ''')
2022-11-23T01:32:32.9719605Z 
2022-11-23T01:32:32.9719610Z 
2022-11-23T01:32:32.9719705Z async_compile.wait(globals())
2022-11-23T01:32:32.9719777Z del async_compile
2022-11-23T01:32:32.9719782Z 
2022-11-23T01:32:32.9719858Z def call(args):
2022-11-23T01:32:32.9719938Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9720021Z     args.clear()
2022-11-23T01:32:32.9720225Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9720397Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9720474Z     del arg0_1
2022-11-23T01:32:32.9720541Z     del arg1_1
2022-11-23T01:32:32.9720618Z     return (buf0, )
2022-11-23T01:32:32.9720623Z 
2022-11-23T01:32:32.9720627Z 
2022-11-23T01:32:32.9720708Z if __name__ == "__main__":
2022-11-23T01:32:32.9720828Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9720961Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9721155Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9721360Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9721483Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9721491Z 
2022-11-23T01:32:32.9721558Z ok (1.557s)
2022-11-23T01:32:32.9721885Z   test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9722201Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9722425Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9722681Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9723008Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9723328Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9723673Z [2022-11-23 01:31:55,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9723997Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9724385Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9724478Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9724576Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9724656Z               4 BINARY_ADD
2022-11-23T01:32:32.9724753Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9724835Z               8 RETURN_VALUE
2022-11-23T01:32:32.9724901Z  
2022-11-23T01:32:32.9724906Z 
2022-11-23T01:32:32.9725254Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9725472Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9725740Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9726015Z [2022-11-23 01:31:55,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9726260Z [2022-11-23 01:31:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9726507Z [2022-11-23 01:31:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9726887Z [2022-11-23 01:31:55,714] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9727137Z [2022-11-23 01:31:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9727378Z [2022-11-23 01:31:55,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9727639Z [2022-11-23 01:31:55,715] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9727893Z [2022-11-23 01:31:55,718] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9728089Z [2022-11-23 01:31:55,718] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9728225Z  __compiled_fn_954 <eval_with_key>.5854 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9728325Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9728418Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9728605Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9728710Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9728715Z 
2022-11-23T01:32:32.9729045Z [2022-11-23 01:31:55,718] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9729151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9729248Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9729336Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9729435Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9729528Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9729623Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9729706Z              12 RETURN_VALUE
2022-11-23T01:32:32.9729711Z 
2022-11-23T01:32:32.9729777Z  
2022-11-23T01:32:32.9730102Z [2022-11-23 01:31:55,718] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9730217Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_954)
2022-11-23T01:32:32.9730317Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9730417Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9730501Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9730601Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9730696Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9730777Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9730865Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9730977Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9731089Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9731186Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9731268Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9731362Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9731444Z              26 RETURN_VALUE
2022-11-23T01:32:32.9731477Z 
2022-11-23T01:32:32.9731546Z  
2022-11-23T01:32:32.9731730Z [2022-11-23 01:31:55,719] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9731809Z  - 
2022-11-23T01:32:32.9731934Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9732026Z             {
2022-11-23T01:32:32.9732175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9732369Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9732495Z                 'obj_weakref': None
2022-11-23T01:32:32.9732716Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9732789Z             }
2022-11-23T01:32:32.9732858Z             
2022-11-23T01:32:32.9732933Z  - 
2022-11-23T01:32:32.9733064Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9733133Z             {
2022-11-23T01:32:32.9733281Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9733391Z                 'code': None,
2022-11-23T01:32:32.9733608Z                 'obj_weakref': <weakref at 0x7f1f25968450; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9733862Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9733934Z             }
2022-11-23T01:32:32.9734003Z             
2022-11-23T01:32:32.9734079Z  - 
2022-11-23T01:32:32.9734208Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9734271Z             {
2022-11-23T01:32:32.9734421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9734534Z                 'code': None,
2022-11-23T01:32:32.9734750Z                 'obj_weakref': <weakref at 0x7f1f259684a0; to 'Tensor' at 0x7f1fead34130>
2022-11-23T01:32:32.9735007Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9735076Z             }
2022-11-23T01:32:32.9735145Z             
2022-11-23T01:32:32.9735218Z  - 
2022-11-23T01:32:32.9735355Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9735424Z             {
2022-11-23T01:32:32.9735566Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9735742Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9735871Z                 'obj_weakref': None
2022-11-23T01:32:32.9736104Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9736167Z             }
2022-11-23T01:32:32.9736235Z             
2022-11-23T01:32:32.9736312Z  - 
2022-11-23T01:32:32.9736439Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9736510Z             {
2022-11-23T01:32:32.9736652Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9736874Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9736992Z                 'obj_weakref': None
2022-11-23T01:32:32.9737221Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9737290Z             }
2022-11-23T01:32:32.9737358Z             
2022-11-23T01:32:32.9737627Z [2022-11-23 01:31:55,723] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 936
2022-11-23T01:32:32.9738001Z [2022-11-23 01:31:57,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2w/c2wayqqmflpfzml6jzubjhb44z4kgqgqzzdiqruhbwcaundqtct5.py
2022-11-23T01:32:32.9738269Z [2022-11-23 01:31:57,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 936
2022-11-23T01:32:32.9738275Z 
2022-11-23T01:32:32.9738375Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9738444Z import torch
2022-11-23T01:32:32.9738520Z import random
2022-11-23T01:32:32.9738643Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9738773Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9738973Z 
2022-11-23T01:32:32.9739110Z aten = torch.ops.aten
2022-11-23T01:32:32.9739256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9739355Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9739360Z 
2022-11-23T01:32:32.9739428Z import triton
2022-11-23T01:32:32.9739554Z import triton.language as tl
2022-11-23T01:32:32.9739684Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9739830Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9739836Z 
2022-11-23T01:32:32.9739841Z 
2022-11-23T01:32:32.9739983Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9740197Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9740324Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9740441Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9740544Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9740615Z {
2022-11-23T01:32:32.9740719Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9740786Z     {
2022-11-23T01:32:32.9740883Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9740970Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9741043Z         {
2022-11-23T01:32:32.9741129Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9741198Z             {
2022-11-23T01:32:32.9741269Z                 {
2022-11-23T01:32:32.9741341Z                     {
2022-11-23T01:32:32.9741443Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.9741554Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9741677Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.9741770Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9741875Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9741948Z                     }
2022-11-23T01:32:32.9742018Z                 }
2022-11-23T01:32:32.9742089Z             }
2022-11-23T01:32:32.9742157Z         }
2022-11-23T01:32:32.9742224Z     }
2022-11-23T01:32:32.9742283Z }
2022-11-23T01:32:32.9742372Z ''')
2022-11-23T01:32:32.9742377Z 
2022-11-23T01:32:32.9742382Z 
2022-11-23T01:32:32.9742478Z async_compile.wait(globals())
2022-11-23T01:32:32.9742559Z del async_compile
2022-11-23T01:32:32.9742564Z 
2022-11-23T01:32:32.9742639Z def call(args):
2022-11-23T01:32:32.9742720Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9742797Z     args.clear()
2022-11-23T01:32:32.9742996Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9743169Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9743242Z     del arg0_1
2022-11-23T01:32:32.9743315Z     del arg1_1
2022-11-23T01:32:32.9743393Z     return (buf0, )
2022-11-23T01:32:32.9743398Z 
2022-11-23T01:32:32.9743402Z 
2022-11-23T01:32:32.9743484Z if __name__ == "__main__":
2022-11-23T01:32:32.9743608Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9743737Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9743927Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9744133Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9744256Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9744261Z 
2022-11-23T01:32:32.9744333Z ok (1.545s)
2022-11-23T01:32:32.9744658Z   test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:57,257] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9744975Z [2022-11-23 01:31:57,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9745195Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9745485Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9745766Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9746098Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9746440Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9746761Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9747139Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9747239Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9747337Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9747417Z               4 BINARY_ADD
2022-11-23T01:32:32.9747512Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9747598Z               8 RETURN_VALUE
2022-11-23T01:32:32.9747658Z  
2022-11-23T01:32:32.9747663Z 
2022-11-23T01:32:32.9747975Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9748191Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9748432Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9748706Z [2022-11-23 01:31:57,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9748955Z [2022-11-23 01:31:57,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9749201Z [2022-11-23 01:31:57,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9749579Z [2022-11-23 01:31:57,260] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9749824Z [2022-11-23 01:31:57,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9750053Z [2022-11-23 01:31:57,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9750387Z [2022-11-23 01:31:57,261] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9750670Z [2022-11-23 01:31:57,263] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9750864Z [2022-11-23 01:31:57,263] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9751006Z  __compiled_fn_955 <eval_with_key>.5860 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9751103Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9751199Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9751379Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9751473Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9751478Z 
2022-11-23T01:32:32.9751804Z [2022-11-23 01:31:57,263] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9751905Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9752005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9752099Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9752232Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9752327Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9752421Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9752517Z              12 RETURN_VALUE
2022-11-23T01:32:32.9752523Z 
2022-11-23T01:32:32.9752619Z  
2022-11-23T01:32:32.9752963Z [2022-11-23 01:31:57,263] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9753083Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_955)
2022-11-23T01:32:32.9753180Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9753278Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9753360Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9753449Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9753544Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9753625Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9753723Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9753835Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9753947Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9754043Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9754126Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9754214Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9754297Z              26 RETURN_VALUE
2022-11-23T01:32:32.9754302Z 
2022-11-23T01:32:32.9754369Z  
2022-11-23T01:32:32.9754554Z [2022-11-23 01:31:57,264] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9754630Z  - 
2022-11-23T01:32:32.9754752Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9754821Z             {
2022-11-23T01:32:32.9754958Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9755149Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9755276Z                 'obj_weakref': None
2022-11-23T01:32:32.9755500Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9755571Z             }
2022-11-23T01:32:32.9755643Z             
2022-11-23T01:32:32.9755720Z  - 
2022-11-23T01:32:32.9755845Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9755913Z             {
2022-11-23T01:32:32.9756059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9756171Z                 'code': None,
2022-11-23T01:32:32.9756386Z                 'obj_weakref': <weakref at 0x7f1f25e9d080; to 'Tensor' at 0x7f2115b20680>
2022-11-23T01:32:32.9756636Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9756706Z             }
2022-11-23T01:32:32.9756768Z             
2022-11-23T01:32:32.9756846Z  - 
2022-11-23T01:32:32.9756974Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9757043Z             {
2022-11-23T01:32:32.9757193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9757307Z                 'code': None,
2022-11-23T01:32:32.9757519Z                 'obj_weakref': <weakref at 0x7f1f25e9c8b0; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9757763Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9757838Z             }
2022-11-23T01:32:32.9757906Z             
2022-11-23T01:32:32.9757981Z  - 
2022-11-23T01:32:32.9758115Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9758183Z             {
2022-11-23T01:32:32.9758323Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9758490Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9758618Z                 'obj_weakref': None
2022-11-23T01:32:32.9758849Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9758919Z             }
2022-11-23T01:32:32.9759021Z             
2022-11-23T01:32:32.9759098Z  - 
2022-11-23T01:32:32.9759223Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9759285Z             {
2022-11-23T01:32:32.9759429Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9759647Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9759792Z                 'obj_weakref': None
2022-11-23T01:32:32.9760015Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9760084Z             }
2022-11-23T01:32:32.9760157Z             
2022-11-23T01:32:32.9760413Z [2022-11-23 01:31:57,268] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 937
2022-11-23T01:32:32.9760778Z [2022-11-23 01:31:58,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xn/cxniyt3sgxleuo3jyjqtzchiu4kqmda7uh54f7rrr3a3x5w7kj3g.py
2022-11-23T01:32:32.9761045Z [2022-11-23 01:31:58,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 937
2022-11-23T01:32:32.9761051Z 
2022-11-23T01:32:32.9761151Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9761226Z import torch
2022-11-23T01:32:32.9761304Z import random
2022-11-23T01:32:32.9761427Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9761555Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9761561Z 
2022-11-23T01:32:32.9761637Z aten = torch.ops.aten
2022-11-23T01:32:32.9761778Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9761881Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9761886Z 
2022-11-23T01:32:32.9761961Z import triton
2022-11-23T01:32:32.9762054Z import triton.language as tl
2022-11-23T01:32:32.9762184Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9762327Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9762332Z 
2022-11-23T01:32:32.9762339Z 
2022-11-23T01:32:32.9762476Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9762682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9762804Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9762919Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9763022Z                        int* __restrict__ out_ptr0)
2022-11-23T01:32:32.9763089Z {
2022-11-23T01:32:32.9763193Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9763260Z     {
2022-11-23T01:32:32.9763337Z         #pragma omp for 
2022-11-23T01:32:32.9763428Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9763497Z         {
2022-11-23T01:32:32.9763567Z             {
2022-11-23T01:32:32.9763637Z                 {
2022-11-23T01:32:32.9763737Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9763838Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9763931Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9764022Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:32.9764092Z                 }
2022-11-23T01:32:32.9764160Z             }
2022-11-23T01:32:32.9764229Z         }
2022-11-23T01:32:32.9764296Z     }
2022-11-23T01:32:32.9764358Z }
2022-11-23T01:32:32.9764444Z ''')
2022-11-23T01:32:32.9764449Z 
2022-11-23T01:32:32.9764454Z 
2022-11-23T01:32:32.9764553Z async_compile.wait(globals())
2022-11-23T01:32:32.9764636Z del async_compile
2022-11-23T01:32:32.9764641Z 
2022-11-23T01:32:32.9764719Z def call(args):
2022-11-23T01:32:32.9764801Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9764878Z     args.clear()
2022-11-23T01:32:32.9765071Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9765236Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9765311Z     del arg0_1
2022-11-23T01:32:32.9765385Z     del arg1_1
2022-11-23T01:32:32.9765492Z     return (buf0, )
2022-11-23T01:32:32.9765498Z 
2022-11-23T01:32:32.9765502Z 
2022-11-23T01:32:32.9765585Z if __name__ == "__main__":
2022-11-23T01:32:32.9765709Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9765841Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9766057Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9766243Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9766367Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9766372Z 
2022-11-23T01:32:32.9766444Z ok (1.574s)
2022-11-23T01:32:32.9766776Z   test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9767094Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9767320Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9767580Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9767862Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9768183Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9768516Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9768836Z [2022-11-23 01:31:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9769213Z [2022-11-23 01:31:58,833] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9769311Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9769412Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9769491Z               4 BINARY_ADD
2022-11-23T01:32:32.9769586Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9769668Z               8 RETURN_VALUE
2022-11-23T01:32:32.9769728Z  
2022-11-23T01:32:32.9769738Z 
2022-11-23T01:32:32.9770043Z [2022-11-23 01:31:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9770255Z [2022-11-23 01:31:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9770496Z [2022-11-23 01:31:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9770769Z [2022-11-23 01:31:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9771013Z [2022-11-23 01:31:58,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9771264Z [2022-11-23 01:31:58,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9771643Z [2022-11-23 01:31:58,834] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9771890Z [2022-11-23 01:31:58,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9772132Z [2022-11-23 01:31:58,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9772423Z [2022-11-23 01:31:58,835] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9772683Z [2022-11-23 01:31:58,838] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9772877Z [2022-11-23 01:31:58,838] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9773044Z  __compiled_fn_956 <eval_with_key>.5866 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9773141Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9773237Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9773424Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9773524Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9773529Z 
2022-11-23T01:32:32.9773847Z [2022-11-23 01:31:58,838] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9773948Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9774047Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9774141Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9774243Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9774336Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9774432Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9774517Z              12 RETURN_VALUE
2022-11-23T01:32:32.9774522Z 
2022-11-23T01:32:32.9774581Z  
2022-11-23T01:32:32.9774897Z [2022-11-23 01:31:58,838] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9775016Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_956)
2022-11-23T01:32:32.9775116Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9775214Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9775299Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9775393Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9775484Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9775568Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9775664Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9775776Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9782467Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9782591Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9782677Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9782767Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9782851Z              26 RETURN_VALUE
2022-11-23T01:32:32.9782856Z 
2022-11-23T01:32:32.9782922Z  
2022-11-23T01:32:32.9783134Z [2022-11-23 01:31:58,839] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9783212Z  - 
2022-11-23T01:32:32.9783336Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9783405Z             {
2022-11-23T01:32:32.9783544Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9783740Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9783865Z                 'obj_weakref': None
2022-11-23T01:32:32.9784087Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9784160Z             }
2022-11-23T01:32:32.9784231Z             
2022-11-23T01:32:32.9784307Z  - 
2022-11-23T01:32:32.9784436Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9784498Z             {
2022-11-23T01:32:32.9784645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9784757Z                 'code': None,
2022-11-23T01:32:32.9784973Z                 'obj_weakref': <weakref at 0x7f1f25ab1260; to 'Tensor' at 0x7f1fead34130>
2022-11-23T01:32:32.9785224Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9785291Z             }
2022-11-23T01:32:32.9785359Z             
2022-11-23T01:32:32.9785507Z  - 
2022-11-23T01:32:32.9785636Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9785704Z             {
2022-11-23T01:32:32.9785852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9785963Z                 'code': None,
2022-11-23T01:32:32.9786208Z                 'obj_weakref': <weakref at 0x7f1fd81a22f0; to 'Tensor' at 0x7f1f259e9da0>
2022-11-23T01:32:32.9786459Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9786521Z             }
2022-11-23T01:32:32.9786589Z             
2022-11-23T01:32:32.9786665Z  - 
2022-11-23T01:32:32.9786798Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9786866Z             {
2022-11-23T01:32:32.9787006Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9787180Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9787297Z                 'obj_weakref': None
2022-11-23T01:32:32.9787533Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9787604Z             }
2022-11-23T01:32:32.9787672Z             
2022-11-23T01:32:32.9787746Z  - 
2022-11-23T01:32:32.9787871Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9787936Z             {
2022-11-23T01:32:32.9788076Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9788296Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9788419Z                 'obj_weakref': None
2022-11-23T01:32:32.9788642Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9788710Z             }
2022-11-23T01:32:32.9788777Z             
2022-11-23T01:32:32.9789040Z [2022-11-23 01:31:58,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 938
2022-11-23T01:32:32.9789397Z [2022-11-23 01:32:00,382] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7m/c7m3nfsvc2z4t4a5qydhgua4k6csrujdwudmkpb7owk2mipewsv2.py
2022-11-23T01:32:32.9789665Z [2022-11-23 01:32:00,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 938
2022-11-23T01:32:32.9789670Z 
2022-11-23T01:32:32.9789774Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9789846Z import torch
2022-11-23T01:32:32.9789920Z import random
2022-11-23T01:32:32.9790043Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9790169Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9790174Z 
2022-11-23T01:32:32.9790336Z aten = torch.ops.aten
2022-11-23T01:32:32.9790488Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9790602Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9790608Z 
2022-11-23T01:32:32.9790696Z import triton
2022-11-23T01:32:32.9790809Z import triton.language as tl
2022-11-23T01:32:32.9790962Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9791117Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9791123Z 
2022-11-23T01:32:32.9791127Z 
2022-11-23T01:32:32.9791267Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9791479Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9791599Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9791712Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9791818Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9791887Z {
2022-11-23T01:32:32.9791992Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9792057Z     {
2022-11-23T01:32:32.9792152Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9792233Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9792302Z         {
2022-11-23T01:32:32.9792394Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9792461Z             {
2022-11-23T01:32:32.9792565Z                 {
2022-11-23T01:32:32.9792639Z                     {
2022-11-23T01:32:32.9792742Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:32.9792849Z                         auto tmp2 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9792994Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9793092Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9793197Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9793269Z                     }
2022-11-23T01:32:32.9793337Z                 }
2022-11-23T01:32:32.9793405Z             }
2022-11-23T01:32:32.9793466Z         }
2022-11-23T01:32:32.9793539Z     }
2022-11-23T01:32:32.9793602Z }
2022-11-23T01:32:32.9793689Z ''')
2022-11-23T01:32:32.9793695Z 
2022-11-23T01:32:32.9793699Z 
2022-11-23T01:32:32.9793794Z async_compile.wait(globals())
2022-11-23T01:32:32.9793871Z del async_compile
2022-11-23T01:32:32.9793876Z 
2022-11-23T01:32:32.9793954Z def call(args):
2022-11-23T01:32:32.9794028Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9794105Z     args.clear()
2022-11-23T01:32:32.9794311Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9794481Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9794558Z     del arg0_1
2022-11-23T01:32:32.9794629Z     del arg1_1
2022-11-23T01:32:32.9794705Z     return (buf0, )
2022-11-23T01:32:32.9794710Z 
2022-11-23T01:32:32.9794715Z 
2022-11-23T01:32:32.9794795Z if __name__ == "__main__":
2022-11-23T01:32:32.9794911Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9795040Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9795235Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9795437Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9795561Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9795566Z 
2022-11-23T01:32:32.9795638Z ok (1.555s)
2022-11-23T01:32:32.9795977Z   test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9796303Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9796517Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9796772Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9797049Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9797368Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9797710Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9798031Z [2022-11-23 01:32:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9798415Z [2022-11-23 01:32:00,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9798515Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9798611Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9798684Z               4 BINARY_ADD
2022-11-23T01:32:32.9798779Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9798860Z               8 RETURN_VALUE
2022-11-23T01:32:32.9798957Z  
2022-11-23T01:32:32.9798963Z 
2022-11-23T01:32:32.9799275Z [2022-11-23 01:32:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9799490Z [2022-11-23 01:32:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9799754Z [2022-11-23 01:32:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9800027Z [2022-11-23 01:32:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9800276Z [2022-11-23 01:32:00,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9800519Z [2022-11-23 01:32:00,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9800906Z [2022-11-23 01:32:00,391] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9801152Z [2022-11-23 01:32:00,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9801387Z [2022-11-23 01:32:00,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9801645Z [2022-11-23 01:32:00,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9801894Z [2022-11-23 01:32:00,394] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9802086Z [2022-11-23 01:32:00,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9802229Z  __compiled_fn_957 <eval_with_key>.5872 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9802325Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9802411Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9802596Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9802696Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9802702Z 
2022-11-23T01:32:32.9803029Z [2022-11-23 01:32:00,395] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9803135Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9803232Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9803330Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9803429Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9803516Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9803610Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9803691Z              12 RETURN_VALUE
2022-11-23T01:32:32.9803696Z 
2022-11-23T01:32:32.9803761Z  
2022-11-23T01:32:32.9804083Z [2022-11-23 01:32:00,395] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9804203Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_957)
2022-11-23T01:32:32.9804301Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9804391Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9804475Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9804570Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9804664Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9804744Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9804838Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9804949Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9805058Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9805147Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9805228Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9805368Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9805452Z              26 RETURN_VALUE
2022-11-23T01:32:32.9805458Z 
2022-11-23T01:32:32.9805522Z  
2022-11-23T01:32:32.9805711Z [2022-11-23 01:32:00,395] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9805788Z  - 
2022-11-23T01:32:32.9805929Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9805997Z             {
2022-11-23T01:32:32.9806142Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9806336Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9806463Z                 'obj_weakref': None
2022-11-23T01:32:32.9806690Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9806758Z             }
2022-11-23T01:32:32.9806820Z             
2022-11-23T01:32:32.9806896Z  - 
2022-11-23T01:32:32.9807027Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9807096Z             {
2022-11-23T01:32:32.9807247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9807359Z                 'code': None,
2022-11-23T01:32:32.9807577Z                 'obj_weakref': <weakref at 0x7f1f25c23790; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9807824Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9807895Z             }
2022-11-23T01:32:32.9807963Z             
2022-11-23T01:32:32.9808038Z  - 
2022-11-23T01:32:32.9808165Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9808233Z             {
2022-11-23T01:32:32.9808382Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9808488Z                 'code': None,
2022-11-23T01:32:32.9808702Z                 'obj_weakref': <weakref at 0x7f2115e07fb0; to 'Tensor' at 0x7f1f25ec0b30>
2022-11-23T01:32:32.9808959Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9809029Z             }
2022-11-23T01:32:32.9809096Z             
2022-11-23T01:32:32.9809172Z  - 
2022-11-23T01:32:32.9809307Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9809369Z             {
2022-11-23T01:32:32.9809509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9809691Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9809815Z                 'obj_weakref': None
2022-11-23T01:32:32.9810046Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9810118Z             }
2022-11-23T01:32:32.9810185Z             
2022-11-23T01:32:32.9810253Z  - 
2022-11-23T01:32:32.9810378Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9810446Z             {
2022-11-23T01:32:32.9810588Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9810808Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9810932Z                 'obj_weakref': None
2022-11-23T01:32:32.9811158Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9811220Z             }
2022-11-23T01:32:32.9811288Z             
2022-11-23T01:32:32.9811556Z [2022-11-23 01:32:00,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 939
2022-11-23T01:32:32.9811923Z [2022-11-23 01:32:01,969] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfuq4vqwr5eo5zqzb56jsxsmuvyae5u35mkpbzs6qiagc2ym3wxk.py
2022-11-23T01:32:32.9812191Z [2022-11-23 01:32:01,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 939
2022-11-23T01:32:32.9812197Z 
2022-11-23T01:32:32.9812297Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9812371Z import torch
2022-11-23T01:32:32.9812448Z import random
2022-11-23T01:32:32.9812563Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9812727Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9812734Z 
2022-11-23T01:32:32.9812830Z aten = torch.ops.aten
2022-11-23T01:32:32.9812998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9813096Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9813124Z 
2022-11-23T01:32:32.9813201Z import triton
2022-11-23T01:32:32.9813293Z import triton.language as tl
2022-11-23T01:32:32.9813414Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9813558Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9813564Z 
2022-11-23T01:32:32.9813568Z 
2022-11-23T01:32:32.9813709Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9813919Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9814043Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:32.9814156Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9814264Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9814329Z {
2022-11-23T01:32:32.9814426Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9814492Z     {
2022-11-23T01:32:32.9814587Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9814677Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9814745Z         {
2022-11-23T01:32:32.9814837Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9814905Z             {
2022-11-23T01:32:32.9814969Z                 {
2022-11-23T01:32:32.9815041Z                     {
2022-11-23T01:32:32.9815144Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:32.9815255Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9815374Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:32.9815476Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9815580Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9815649Z                     }
2022-11-23T01:32:32.9815719Z                 }
2022-11-23T01:32:32.9815788Z             }
2022-11-23T01:32:32.9815855Z         }
2022-11-23T01:32:32.9815921Z     }
2022-11-23T01:32:32.9815986Z }
2022-11-23T01:32:32.9816066Z ''')
2022-11-23T01:32:32.9816080Z 
2022-11-23T01:32:32.9816085Z 
2022-11-23T01:32:32.9816174Z async_compile.wait(globals())
2022-11-23T01:32:32.9816253Z del async_compile
2022-11-23T01:32:32.9816259Z 
2022-11-23T01:32:32.9816334Z def call(args):
2022-11-23T01:32:32.9816415Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9816491Z     args.clear()
2022-11-23T01:32:32.9816695Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9816869Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9816936Z     del arg0_1
2022-11-23T01:32:32.9817009Z     del arg1_1
2022-11-23T01:32:32.9817085Z     return (buf0, )
2022-11-23T01:32:32.9817090Z 
2022-11-23T01:32:32.9817096Z 
2022-11-23T01:32:32.9817178Z if __name__ == "__main__":
2022-11-23T01:32:32.9817299Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9817428Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9817623Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9817829Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9817945Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9817951Z 
2022-11-23T01:32:32.9818023Z ok (1.593s)
2022-11-23T01:32:32.9818366Z   test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9818683Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9819161Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9819427Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9819706Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9820052Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9820393Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9820712Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9821091Z [2022-11-23 01:32:01,981] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9821191Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9821289Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9821370Z               4 BINARY_ADD
2022-11-23T01:32:32.9821465Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9821547Z               8 RETURN_VALUE
2022-11-23T01:32:32.9821615Z  
2022-11-23T01:32:32.9821621Z 
2022-11-23T01:32:32.9821932Z [2022-11-23 01:32:01,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9822142Z [2022-11-23 01:32:01,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9822385Z [2022-11-23 01:32:01,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9822662Z [2022-11-23 01:32:01,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9822905Z [2022-11-23 01:32:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9823151Z [2022-11-23 01:32:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9823533Z [2022-11-23 01:32:01,983] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9823776Z [2022-11-23 01:32:01,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9824010Z [2022-11-23 01:32:01,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9824267Z [2022-11-23 01:32:01,984] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9824523Z [2022-11-23 01:32:01,987] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9824710Z [2022-11-23 01:32:01,987] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9824852Z  __compiled_fn_958 <eval_with_key>.5878 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9824949Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9825043Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9825224Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9825325Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9825330Z 
2022-11-23T01:32:32.9825653Z [2022-11-23 01:32:01,988] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9825753Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9825844Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9825975Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9826078Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9826171Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9826266Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9826370Z              12 RETURN_VALUE
2022-11-23T01:32:32.9826375Z 
2022-11-23T01:32:32.9826444Z  
2022-11-23T01:32:32.9826754Z [2022-11-23 01:32:01,988] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9826871Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_958)
2022-11-23T01:32:32.9826969Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9827068Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9827149Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9827244Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9827337Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9827415Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9827508Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9827619Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9827728Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9827825Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9827906Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9827999Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9828080Z              26 RETURN_VALUE
2022-11-23T01:32:32.9828086Z 
2022-11-23T01:32:32.9828144Z  
2022-11-23T01:32:32.9828333Z [2022-11-23 01:32:01,988] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9828408Z  - 
2022-11-23T01:32:32.9828531Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9828601Z             {
2022-11-23T01:32:32.9828745Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9828940Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9829057Z                 'obj_weakref': None
2022-11-23T01:32:32.9829282Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9829351Z             }
2022-11-23T01:32:32.9829421Z             
2022-11-23T01:32:32.9829497Z  - 
2022-11-23T01:32:32.9829625Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9829692Z             {
2022-11-23T01:32:32.9829833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9829943Z                 'code': None,
2022-11-23T01:32:32.9830159Z                 'obj_weakref': <weakref at 0x7f1f25ab2de0; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9830492Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9830575Z             }
2022-11-23T01:32:32.9830656Z             
2022-11-23T01:32:32.9830748Z  - 
2022-11-23T01:32:32.9830889Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9830958Z             {
2022-11-23T01:32:32.9831104Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9831215Z                 'code': None,
2022-11-23T01:32:32.9831426Z                 'obj_weakref': <weakref at 0x7f1f25ab3e70; to 'Tensor' at 0x7f1f25ec0b30>
2022-11-23T01:32:32.9831679Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9831750Z             }
2022-11-23T01:32:32.9831811Z             
2022-11-23T01:32:32.9831886Z  - 
2022-11-23T01:32:32.9832023Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9832091Z             {
2022-11-23T01:32:32.9832231Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9832407Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9832531Z                 'obj_weakref': None
2022-11-23T01:32:32.9832790Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9832861Z             }
2022-11-23T01:32:32.9832929Z             
2022-11-23T01:32:32.9833005Z  - 
2022-11-23T01:32:32.9833133Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9833200Z             {
2022-11-23T01:32:32.9833364Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9833578Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9833702Z                 'obj_weakref': None
2022-11-23T01:32:32.9833930Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9833998Z             }
2022-11-23T01:32:32.9834065Z             
2022-11-23T01:32:32.9834331Z [2022-11-23 01:32:01,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 940
2022-11-23T01:32:32.9834705Z [2022-11-23 01:32:03,525] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c3/cc37qje5p735mjmbvbmgfoesddbyeozjangxgeepo3thatiurdfq.py
2022-11-23T01:32:32.9834973Z [2022-11-23 01:32:03,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 940
2022-11-23T01:32:32.9834978Z 
2022-11-23T01:32:32.9835072Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9835148Z import torch
2022-11-23T01:32:32.9835223Z import random
2022-11-23T01:32:32.9835345Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9835471Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9835477Z 
2022-11-23T01:32:32.9835562Z aten = torch.ops.aten
2022-11-23T01:32:32.9835701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9835792Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9835803Z 
2022-11-23T01:32:32.9835870Z import triton
2022-11-23T01:32:32.9835964Z import triton.language as tl
2022-11-23T01:32:32.9836092Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9836239Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9836244Z 
2022-11-23T01:32:32.9836249Z 
2022-11-23T01:32:32.9836388Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9836597Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9836725Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9836831Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9836936Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9837001Z {
2022-11-23T01:32:32.9837104Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9837170Z     {
2022-11-23T01:32:32.9837266Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9837352Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9837414Z         {
2022-11-23T01:32:32.9837511Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9837579Z             {
2022-11-23T01:32:32.9837648Z                 {
2022-11-23T01:32:32.9837721Z                     {
2022-11-23T01:32:32.9837835Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9837936Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9838030Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9838141Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9838211Z                     }
2022-11-23T01:32:32.9838279Z                 }
2022-11-23T01:32:32.9838347Z             }
2022-11-23T01:32:32.9838415Z         }
2022-11-23T01:32:32.9838482Z     }
2022-11-23T01:32:32.9838540Z }
2022-11-23T01:32:32.9838625Z ''')
2022-11-23T01:32:32.9838630Z 
2022-11-23T01:32:32.9838635Z 
2022-11-23T01:32:32.9838728Z async_compile.wait(globals())
2022-11-23T01:32:32.9838805Z del async_compile
2022-11-23T01:32:32.9838810Z 
2022-11-23T01:32:32.9838885Z def call(args):
2022-11-23T01:32:32.9838965Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9839042Z     args.clear()
2022-11-23T01:32:32.9839273Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9839445Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9839518Z     del arg0_1
2022-11-23T01:32:32.9839616Z     del arg1_1
2022-11-23T01:32:32.9839693Z     return (buf0, )
2022-11-23T01:32:32.9839698Z 
2022-11-23T01:32:32.9839702Z 
2022-11-23T01:32:32.9839783Z if __name__ == "__main__":
2022-11-23T01:32:32.9839902Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9840032Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9840229Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9840424Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9840547Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9840552Z 
2022-11-23T01:32:32.9840624Z ok (1.553s)
2022-11-23T01:32:32.9840967Z   test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9841283Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9841508Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9841761Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9842041Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9842351Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9842699Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9843023Z [2022-11-23 01:32:03,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9843410Z [2022-11-23 01:32:03,535] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9843508Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9843604Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9843682Z               4 BINARY_ADD
2022-11-23T01:32:32.9843777Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9843859Z               8 RETURN_VALUE
2022-11-23T01:32:32.9843919Z  
2022-11-23T01:32:32.9843924Z 
2022-11-23T01:32:32.9844244Z [2022-11-23 01:32:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9844457Z [2022-11-23 01:32:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9844696Z [2022-11-23 01:32:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9844972Z [2022-11-23 01:32:03,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9845217Z [2022-11-23 01:32:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9845466Z [2022-11-23 01:32:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9845849Z [2022-11-23 01:32:03,536] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9846137Z [2022-11-23 01:32:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9846374Z [2022-11-23 01:32:03,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9846633Z [2022-11-23 01:32:03,537] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9846909Z [2022-11-23 01:32:03,540] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9847105Z [2022-11-23 01:32:03,540] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9847247Z  __compiled_fn_959 <eval_with_key>.5884 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9847340Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9847435Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9847620Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9847714Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9847722Z 
2022-11-23T01:32:32.9848050Z [2022-11-23 01:32:03,540] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9848151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9848251Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9848344Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9848444Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9848537Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9848632Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9848707Z              12 RETURN_VALUE
2022-11-23T01:32:32.9848713Z 
2022-11-23T01:32:32.9848782Z  
2022-11-23T01:32:32.9849106Z [2022-11-23 01:32:03,540] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9849226Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_959)
2022-11-23T01:32:32.9849324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9849421Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9849504Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9849592Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9849689Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9849770Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9849863Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9849976Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9850085Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9850180Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9850262Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9850349Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9850429Z              26 RETURN_VALUE
2022-11-23T01:32:32.9850435Z 
2022-11-23T01:32:32.9850499Z  
2022-11-23T01:32:32.9850692Z [2022-11-23 01:32:03,541] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9850768Z  - 
2022-11-23T01:32:32.9850894Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9850963Z             {
2022-11-23T01:32:32.9851101Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9851298Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9851422Z                 'obj_weakref': None
2022-11-23T01:32:32.9851649Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9851718Z             }
2022-11-23T01:32:32.9851786Z             
2022-11-23T01:32:32.9851860Z  - 
2022-11-23T01:32:32.9851983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9852052Z             {
2022-11-23T01:32:32.9852199Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9852311Z                 'code': None,
2022-11-23T01:32:32.9852559Z                 'obj_weakref': <weakref at 0x7f1f25969ee0; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9852816Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9852885Z             }
2022-11-23T01:32:32.9852972Z             
2022-11-23T01:32:32.9853049Z  - 
2022-11-23T01:32:32.9853177Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9853246Z             {
2022-11-23T01:32:32.9853395Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9853508Z                 'code': None,
2022-11-23T01:32:32.9853725Z                 'obj_weakref': <weakref at 0x7f1f2596a250; to 'Tensor' at 0x7f1ffad48450>
2022-11-23T01:32:32.9853974Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9854043Z             }
2022-11-23T01:32:32.9854109Z             
2022-11-23T01:32:32.9854185Z  - 
2022-11-23T01:32:32.9854323Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9854390Z             {
2022-11-23T01:32:32.9854531Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9854702Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9854826Z                 'obj_weakref': None
2022-11-23T01:32:32.9855060Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9855130Z             }
2022-11-23T01:32:32.9855202Z             
2022-11-23T01:32:32.9855277Z  - 
2022-11-23T01:32:32.9855403Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9855466Z             {
2022-11-23T01:32:32.9855606Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9855825Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9855952Z                 'obj_weakref': None
2022-11-23T01:32:32.9856178Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9856246Z             }
2022-11-23T01:32:32.9856315Z             
2022-11-23T01:32:32.9856574Z [2022-11-23 01:32:03,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 941
2022-11-23T01:32:32.9856946Z [2022-11-23 01:32:05,084] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/do/cdobtofd3um73ue3h6gmt3he46nnev6uelw6cyqplxc6ybylwxo6.py
2022-11-23T01:32:32.9857215Z [2022-11-23 01:32:05,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 941
2022-11-23T01:32:32.9857221Z 
2022-11-23T01:32:32.9857320Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9857394Z import torch
2022-11-23T01:32:32.9857468Z import random
2022-11-23T01:32:32.9857590Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9857718Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9857724Z 
2022-11-23T01:32:32.9857799Z aten = torch.ops.aten
2022-11-23T01:32:32.9857942Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9858039Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9858044Z 
2022-11-23T01:32:32.9858118Z import triton
2022-11-23T01:32:32.9858210Z import triton.language as tl
2022-11-23T01:32:32.9858343Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9858486Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9858492Z 
2022-11-23T01:32:32.9858496Z 
2022-11-23T01:32:32.9858634Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9859048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9859181Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9859296Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9859401Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9859469Z {
2022-11-23T01:32:32.9859624Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9859694Z     {
2022-11-23T01:32:32.9859785Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9859873Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9859942Z         {
2022-11-23T01:32:32.9860035Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9860144Z             {
2022-11-23T01:32:32.9860213Z                 {
2022-11-23T01:32:32.9860286Z                     {
2022-11-23T01:32:32.9860395Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9860497Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:32.9860598Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9860702Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9860773Z                     }
2022-11-23T01:32:32.9860843Z                 }
2022-11-23T01:32:32.9860910Z             }
2022-11-23T01:32:32.9860972Z         }
2022-11-23T01:32:32.9861038Z     }
2022-11-23T01:32:32.9861103Z }
2022-11-23T01:32:32.9861195Z ''')
2022-11-23T01:32:32.9861201Z 
2022-11-23T01:32:32.9861205Z 
2022-11-23T01:32:32.9861302Z async_compile.wait(globals())
2022-11-23T01:32:32.9861381Z del async_compile
2022-11-23T01:32:32.9861386Z 
2022-11-23T01:32:32.9861461Z def call(args):
2022-11-23T01:32:32.9861538Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9861616Z     args.clear()
2022-11-23T01:32:32.9861828Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9862000Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9862073Z     del arg0_1
2022-11-23T01:32:32.9862145Z     del arg1_1
2022-11-23T01:32:32.9862220Z     return (buf0, )
2022-11-23T01:32:32.9862226Z 
2022-11-23T01:32:32.9862230Z 
2022-11-23T01:32:32.9862311Z if __name__ == "__main__":
2022-11-23T01:32:32.9862424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9862558Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9862763Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9862970Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9863092Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9863100Z 
2022-11-23T01:32:32.9863171Z ok (1.555s)
2022-11-23T01:32:32.9863515Z   test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9863828Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9864043Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9864297Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9864578Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9864897Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9865246Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9865565Z [2022-11-23 01:32:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9865937Z [2022-11-23 01:32:05,090] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9866035Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9866187Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9866269Z               4 BINARY_ADD
2022-11-23T01:32:32.9866358Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9866440Z               8 RETURN_VALUE
2022-11-23T01:32:32.9866527Z  
2022-11-23T01:32:32.9866532Z 
2022-11-23T01:32:32.9866845Z [2022-11-23 01:32:05,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9867064Z [2022-11-23 01:32:05,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9867306Z [2022-11-23 01:32:05,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9867582Z [2022-11-23 01:32:05,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9867833Z [2022-11-23 01:32:05,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9868077Z [2022-11-23 01:32:05,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9868466Z [2022-11-23 01:32:05,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9868718Z [2022-11-23 01:32:05,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9868957Z [2022-11-23 01:32:05,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9869215Z [2022-11-23 01:32:05,092] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9869471Z [2022-11-23 01:32:05,095] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9869667Z [2022-11-23 01:32:05,095] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9869811Z  __compiled_fn_960 <eval_with_key>.5890 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9869906Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9869993Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9870178Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9870343Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9870349Z 
2022-11-23T01:32:32.9870720Z [2022-11-23 01:32:05,095] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9870836Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9870938Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9871036Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9871136Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9871223Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9871322Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9871405Z              12 RETURN_VALUE
2022-11-23T01:32:32.9871410Z 
2022-11-23T01:32:32.9871476Z  
2022-11-23T01:32:32.9871799Z [2022-11-23 01:32:05,095] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9871918Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_960)
2022-11-23T01:32:32.9872017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9872117Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9872194Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9872289Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9872382Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9872463Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9872559Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9872672Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9872829Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9872941Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9873031Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9873142Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9873245Z              26 RETURN_VALUE
2022-11-23T01:32:32.9873250Z 
2022-11-23T01:32:32.9873316Z  
2022-11-23T01:32:32.9873505Z [2022-11-23 01:32:05,096] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9873583Z  - 
2022-11-23T01:32:32.9873701Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9873771Z             {
2022-11-23T01:32:32.9873914Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9874104Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9874228Z                 'obj_weakref': None
2022-11-23T01:32:32.9874455Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9874524Z             }
2022-11-23T01:32:32.9874586Z             
2022-11-23T01:32:32.9874662Z  - 
2022-11-23T01:32:32.9874791Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9874862Z             {
2022-11-23T01:32:32.9875013Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9875128Z                 'code': None,
2022-11-23T01:32:32.9875342Z                 'obj_weakref': <weakref at 0x7f1f25969d00; to 'Tensor' at 0x7f1fd97efb00>
2022-11-23T01:32:32.9875588Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9875658Z             }
2022-11-23T01:32:32.9875729Z             
2022-11-23T01:32:32.9875805Z  - 
2022-11-23T01:32:32.9875936Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9876004Z             {
2022-11-23T01:32:32.9876153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9876259Z                 'code': None,
2022-11-23T01:32:32.9876477Z                 'obj_weakref': <weakref at 0x7f1f25942a20; to 'Tensor' at 0x7f1f25eaa750>
2022-11-23T01:32:32.9876732Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9876801Z             }
2022-11-23T01:32:32.9876872Z             
2022-11-23T01:32:32.9876947Z  - 
2022-11-23T01:32:32.9877082Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9877144Z             {
2022-11-23T01:32:32.9877286Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9877461Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9877585Z                 'obj_weakref': None
2022-11-23T01:32:32.9877821Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9877890Z             }
2022-11-23T01:32:32.9877958Z             
2022-11-23T01:32:32.9878026Z  - 
2022-11-23T01:32:32.9878153Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9878224Z             {
2022-11-23T01:32:32.9878365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9878587Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9878713Z                 'obj_weakref': None
2022-11-23T01:32:32.9878939Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9879000Z             }
2022-11-23T01:32:32.9879068Z             
2022-11-23T01:32:32.9879333Z [2022-11-23 01:32:05,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 942
2022-11-23T01:32:32.9879704Z [2022-11-23 01:32:06,648] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pf/cpf27u67dsjzgejems7ydsmie6ihbmfenoa7kmdpndd7hpa4kk7t.py
2022-11-23T01:32:32.9879975Z [2022-11-23 01:32:06,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 942
2022-11-23T01:32:32.9880013Z 
2022-11-23T01:32:32.9880114Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9880192Z import torch
2022-11-23T01:32:32.9880266Z import random
2022-11-23T01:32:32.9880382Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9880512Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9880542Z 
2022-11-23T01:32:32.9880626Z aten = torch.ops.aten
2022-11-23T01:32:32.9880767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9880865Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9880870Z 
2022-11-23T01:32:32.9880944Z import triton
2022-11-23T01:32:32.9881037Z import triton.language as tl
2022-11-23T01:32:32.9881165Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9881303Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9881308Z 
2022-11-23T01:32:32.9881313Z 
2022-11-23T01:32:32.9881453Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9881665Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9881792Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9881903Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9882012Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9882077Z {
2022-11-23T01:32:32.9882174Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9882240Z     {
2022-11-23T01:32:32.9882336Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9882423Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9882491Z         {
2022-11-23T01:32:32.9882582Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9882650Z             {
2022-11-23T01:32:32.9882713Z                 {
2022-11-23T01:32:32.9882784Z                     {
2022-11-23T01:32:32.9882897Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9883004Z                         auto tmp1 = in_ptr1[0];
2022-11-23T01:32:32.9883125Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9883246Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9883324Z                     }
2022-11-23T01:32:32.9883387Z                 }
2022-11-23T01:32:32.9883457Z             }
2022-11-23T01:32:32.9883524Z         }
2022-11-23T01:32:32.9883590Z     }
2022-11-23T01:32:32.9883653Z }
2022-11-23T01:32:32.9883739Z ''')
2022-11-23T01:32:32.9883744Z 
2022-11-23T01:32:32.9883749Z 
2022-11-23T01:32:32.9883846Z async_compile.wait(globals())
2022-11-23T01:32:32.9883917Z del async_compile
2022-11-23T01:32:32.9883922Z 
2022-11-23T01:32:32.9883997Z def call(args):
2022-11-23T01:32:32.9884077Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9884153Z     args.clear()
2022-11-23T01:32:32.9884358Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9884528Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9884603Z     del arg0_1
2022-11-23T01:32:32.9884668Z     del arg1_1
2022-11-23T01:32:32.9884744Z     return (buf0, )
2022-11-23T01:32:32.9884749Z 
2022-11-23T01:32:32.9884753Z 
2022-11-23T01:32:32.9884836Z if __name__ == "__main__":
2022-11-23T01:32:32.9884956Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9885086Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9885290Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9885486Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9885606Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9885611Z 
2022-11-23T01:32:32.9885676Z ok (1.564s)
2022-11-23T01:32:32.9886009Z   test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:06,653] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9886356Z [2022-11-23 01:32:06,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9886576Z [2022-11-23 01:32:06,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9886851Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9887128Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9887447Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9887794Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9888120Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9888505Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9888606Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9888697Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9888775Z               4 BINARY_ADD
2022-11-23T01:32:32.9888871Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9888955Z               8 RETURN_VALUE
2022-11-23T01:32:32.9889020Z  
2022-11-23T01:32:32.9889025Z 
2022-11-23T01:32:32.9889343Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9889560Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9889799Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9890077Z [2022-11-23 01:32:06,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9890329Z [2022-11-23 01:32:06,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9890580Z [2022-11-23 01:32:06,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9890964Z [2022-11-23 01:32:06,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9891215Z [2022-11-23 01:32:06,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9891457Z [2022-11-23 01:32:06,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9891716Z [2022-11-23 01:32:06,657] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9891970Z [2022-11-23 01:32:06,659] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9892169Z [2022-11-23 01:32:06,659] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9892305Z  __compiled_fn_961 <eval_with_key>.5896 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9892400Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9892494Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9892676Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9892777Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9892782Z 
2022-11-23T01:32:32.9893160Z [2022-11-23 01:32:06,660] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9893290Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9893391Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9893479Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9893583Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9893698Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9893794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9893877Z              12 RETURN_VALUE
2022-11-23T01:32:32.9893882Z 
2022-11-23T01:32:32.9893948Z  
2022-11-23T01:32:32.9894275Z [2022-11-23 01:32:06,660] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9894387Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_961)
2022-11-23T01:32:32.9894485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9894585Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9894669Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9894763Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9894858Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9894939Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9895035Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9895144Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9895256Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9895352Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9895433Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9895528Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9895609Z              26 RETURN_VALUE
2022-11-23T01:32:32.9895615Z 
2022-11-23T01:32:32.9895680Z  
2022-11-23T01:32:32.9895860Z [2022-11-23 01:32:06,660] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9895942Z  - 
2022-11-23T01:32:32.9896068Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9896141Z             {
2022-11-23T01:32:32.9896287Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9896480Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9896605Z                 'obj_weakref': None
2022-11-23T01:32:32.9896829Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9896899Z             }
2022-11-23T01:32:32.9896967Z             
2022-11-23T01:32:32.9897044Z  - 
2022-11-23T01:32:32.9897175Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9897244Z             {
2022-11-23T01:32:32.9897393Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9897500Z                 'code': None,
2022-11-23T01:32:32.9897717Z                 'obj_weakref': <weakref at 0x7f1f25c20680; to 'Tensor' at 0x7f1f25ad7830>
2022-11-23T01:32:32.9897974Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9898042Z             }
2022-11-23T01:32:32.9898110Z             
2022-11-23T01:32:32.9898186Z  - 
2022-11-23T01:32:32.9898315Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9898378Z             {
2022-11-23T01:32:32.9898526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9898642Z                 'code': None,
2022-11-23T01:32:32.9899053Z                 'obj_weakref': <weakref at 0x7f1f25c22a70; to 'Tensor' at 0x7f1f25ad7380>
2022-11-23T01:32:32.9899311Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9899381Z             }
2022-11-23T01:32:32.9899449Z             
2022-11-23T01:32:32.9899519Z  - 
2022-11-23T01:32:32.9899656Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9899725Z             {
2022-11-23T01:32:32.9899867Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9900096Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9900223Z                 'obj_weakref': None
2022-11-23T01:32:32.9900455Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9900517Z             }
2022-11-23T01:32:32.9900613Z             
2022-11-23T01:32:32.9900690Z  - 
2022-11-23T01:32:32.9900819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9900887Z             {
2022-11-23T01:32:32.9901030Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9901251Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9901368Z                 'obj_weakref': None
2022-11-23T01:32:32.9901594Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9901664Z             }
2022-11-23T01:32:32.9901732Z             
2022-11-23T01:32:32.9902002Z [2022-11-23 01:32:06,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 943
2022-11-23T01:32:32.9902366Z [2022-11-23 01:32:08,199] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qe/cqe73wmmmpz7nq26dsxgsa6zrzic2d6kgvg62mw3swpua3rrjc7o.py
2022-11-23T01:32:32.9902634Z [2022-11-23 01:32:08,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 943
2022-11-23T01:32:32.9902642Z 
2022-11-23T01:32:32.9902742Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9902810Z import torch
2022-11-23T01:32:32.9902886Z import random
2022-11-23T01:32:32.9903009Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9903136Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9903141Z 
2022-11-23T01:32:32.9903224Z aten = torch.ops.aten
2022-11-23T01:32:32.9903365Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9903464Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9903469Z 
2022-11-23T01:32:32.9903544Z import triton
2022-11-23T01:32:32.9903634Z import triton.language as tl
2022-11-23T01:32:32.9903763Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9903907Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9903913Z 
2022-11-23T01:32:32.9903922Z 
2022-11-23T01:32:32.9904061Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9904272Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9904398Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9904511Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9904617Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9904678Z {
2022-11-23T01:32:32.9904781Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9904848Z     {
2022-11-23T01:32:32.9904945Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9905033Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9905106Z         {
2022-11-23T01:32:32.9905193Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9905264Z             {
2022-11-23T01:32:32.9905334Z                 {
2022-11-23T01:32:32.9905406Z                     {
2022-11-23T01:32:32.9905521Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9905634Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9905737Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9905834Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9905907Z                     }
2022-11-23T01:32:32.9905976Z                 }
2022-11-23T01:32:32.9906044Z             }
2022-11-23T01:32:32.9906115Z         }
2022-11-23T01:32:32.9906182Z     }
2022-11-23T01:32:32.9906248Z }
2022-11-23T01:32:32.9906327Z ''')
2022-11-23T01:32:32.9906333Z 
2022-11-23T01:32:32.9906337Z 
2022-11-23T01:32:32.9906434Z async_compile.wait(globals())
2022-11-23T01:32:32.9906512Z del async_compile
2022-11-23T01:32:32.9906548Z 
2022-11-23T01:32:32.9906625Z def call(args):
2022-11-23T01:32:32.9906707Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9906786Z     args.clear()
2022-11-23T01:32:32.9906991Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9907197Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9907273Z     del arg0_1
2022-11-23T01:32:32.9907345Z     del arg1_1
2022-11-23T01:32:32.9907421Z     return (buf0, )
2022-11-23T01:32:32.9907426Z 
2022-11-23T01:32:32.9907430Z 
2022-11-23T01:32:32.9907512Z if __name__ == "__main__":
2022-11-23T01:32:32.9907632Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9907763Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9907970Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9908168Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9908291Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9908296Z 
2022-11-23T01:32:32.9908368Z ok (1.551s)
2022-11-23T01:32:32.9908704Z   test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:08,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9909024Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9909246Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9909502Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9909782Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9910101Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9910553Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9910909Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9911329Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9911432Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9911533Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9911612Z               4 BINARY_ADD
2022-11-23T01:32:32.9911708Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9911794Z               8 RETURN_VALUE
2022-11-23T01:32:32.9911861Z  
2022-11-23T01:32:32.9911866Z 
2022-11-23T01:32:32.9912172Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9912391Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9912632Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9912912Z [2022-11-23 01:32:08,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9913160Z [2022-11-23 01:32:08,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9913410Z [2022-11-23 01:32:08,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9913827Z [2022-11-23 01:32:08,206] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9914079Z [2022-11-23 01:32:08,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9914341Z [2022-11-23 01:32:08,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9914592Z [2022-11-23 01:32:08,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9914843Z [2022-11-23 01:32:08,210] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9915039Z [2022-11-23 01:32:08,210] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9915181Z  __compiled_fn_962 <eval_with_key>.5902 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9915277Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9915374Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9915560Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9915660Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9915666Z 
2022-11-23T01:32:32.9915997Z [2022-11-23 01:32:08,211] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9916096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9916195Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9916290Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9916392Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9916486Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9916582Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9916663Z              12 RETURN_VALUE
2022-11-23T01:32:32.9916668Z 
2022-11-23T01:32:32.9916728Z  
2022-11-23T01:32:32.9917054Z [2022-11-23 01:32:08,211] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9917174Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_962)
2022-11-23T01:32:32.9917270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9917373Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9917457Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9917551Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9917651Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9917726Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9917824Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9917936Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9918047Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9918143Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9918226Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9918323Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9918399Z              26 RETURN_VALUE
2022-11-23T01:32:32.9918404Z 
2022-11-23T01:32:32.9918470Z  
2022-11-23T01:32:32.9918658Z [2022-11-23 01:32:08,212] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9918739Z  - 
2022-11-23T01:32:32.9918866Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9918935Z             {
2022-11-23T01:32:32.9919082Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9919270Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9919398Z                 'obj_weakref': None
2022-11-23T01:32:32.9919628Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9919698Z             }
2022-11-23T01:32:32.9919766Z             
2022-11-23T01:32:32.9919846Z  - 
2022-11-23T01:32:32.9919976Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9920081Z             {
2022-11-23T01:32:32.9920233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9920347Z                 'code': None,
2022-11-23T01:32:32.9920566Z                 'obj_weakref': <weakref at 0x7f20606cfba0; to 'Tensor' at 0x7f1fd8375530>
2022-11-23T01:32:32.9920845Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9920916Z             }
2022-11-23T01:32:32.9920985Z             
2022-11-23T01:32:32.9921055Z  - 
2022-11-23T01:32:32.9921183Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9921253Z             {
2022-11-23T01:32:32.9921402Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9921517Z                 'code': None,
2022-11-23T01:32:32.9921732Z                 'obj_weakref': <weakref at 0x7f1f25e9db20; to 'Tensor' at 0x7f2151f19c10>
2022-11-23T01:32:32.9921990Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9922053Z             }
2022-11-23T01:32:32.9922121Z             
2022-11-23T01:32:32.9922198Z  - 
2022-11-23T01:32:32.9922334Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9922404Z             {
2022-11-23T01:32:32.9922548Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9922723Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9922841Z                 'obj_weakref': None
2022-11-23T01:32:32.9923099Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9923170Z             }
2022-11-23T01:32:32.9923254Z             
2022-11-23T01:32:32.9923336Z  - 
2022-11-23T01:32:32.9923463Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9923533Z             {
2022-11-23T01:32:32.9923668Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9923893Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9924018Z                 'obj_weakref': None
2022-11-23T01:32:32.9924242Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9924311Z             }
2022-11-23T01:32:32.9924382Z             
2022-11-23T01:32:32.9924651Z [2022-11-23 01:32:08,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 944
2022-11-23T01:32:32.9925012Z [2022-11-23 01:32:09,763] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c2/cc2ds6fry4li7ahltto3dwscbaxljw3zfq2wadbnjxi37kwrjhnv.py
2022-11-23T01:32:32.9925280Z [2022-11-23 01:32:09,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 944
2022-11-23T01:32:32.9925286Z 
2022-11-23T01:32:32.9925388Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9925464Z import torch
2022-11-23T01:32:32.9925539Z import random
2022-11-23T01:32:32.9925663Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9925790Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9925796Z 
2022-11-23T01:32:32.9925880Z aten = torch.ops.aten
2022-11-23T01:32:32.9926014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9926114Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9926119Z 
2022-11-23T01:32:32.9926196Z import triton
2022-11-23T01:32:32.9926291Z import triton.language as tl
2022-11-23T01:32:32.9926419Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9926563Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9926569Z 
2022-11-23T01:32:32.9926573Z 
2022-11-23T01:32:32.9926713Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9926925Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9927045Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9927194Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:32.9927306Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:32.9927374Z {
2022-11-23T01:32:32.9927478Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9927545Z     {
2022-11-23T01:32:32.9927663Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9927745Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9927816Z         {
2022-11-23T01:32:32.9927907Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9927977Z             {
2022-11-23T01:32:32.9928047Z                 {
2022-11-23T01:32:32.9928119Z                     {
2022-11-23T01:32:32.9928232Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9928337Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:32.9928458Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:32.9928560Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:32.9928665Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9928738Z                     }
2022-11-23T01:32:32.9928807Z                 }
2022-11-23T01:32:32.9928876Z             }
2022-11-23T01:32:32.9928938Z         }
2022-11-23T01:32:32.9929007Z     }
2022-11-23T01:32:32.9929077Z }
2022-11-23T01:32:32.9929165Z ''')
2022-11-23T01:32:32.9929171Z 
2022-11-23T01:32:32.9929175Z 
2022-11-23T01:32:32.9929270Z async_compile.wait(globals())
2022-11-23T01:32:32.9929349Z del async_compile
2022-11-23T01:32:32.9929354Z 
2022-11-23T01:32:32.9929430Z def call(args):
2022-11-23T01:32:32.9929504Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9929581Z     args.clear()
2022-11-23T01:32:32.9929785Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9929957Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9930031Z     del arg0_1
2022-11-23T01:32:32.9930107Z     del arg1_1
2022-11-23T01:32:32.9930186Z     return (buf0, )
2022-11-23T01:32:32.9930191Z 
2022-11-23T01:32:32.9930196Z 
2022-11-23T01:32:32.9930277Z if __name__ == "__main__":
2022-11-23T01:32:32.9930391Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9930520Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9930728Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9930928Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:32.9931053Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9931059Z 
2022-11-23T01:32:32.9931131Z ok (1.564s)
2022-11-23T01:32:32.9931461Z   test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:09,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9931778Z [2022-11-23 01:32:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9931996Z [2022-11-23 01:32:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9932253Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9932536Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9932853Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9933243Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9933562Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9933970Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9934072Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9934213Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9934294Z               4 BINARY_ADD
2022-11-23T01:32:32.9934383Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9934466Z               8 RETURN_VALUE
2022-11-23T01:32:32.9934533Z  
2022-11-23T01:32:32.9934538Z 
2022-11-23T01:32:32.9934852Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9935065Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9935304Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9935583Z [2022-11-23 01:32:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9935829Z [2022-11-23 01:32:09,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9936077Z [2022-11-23 01:32:09,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9936464Z [2022-11-23 01:32:09,771] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9936714Z [2022-11-23 01:32:09,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9936953Z [2022-11-23 01:32:09,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9937214Z [2022-11-23 01:32:09,772] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9937470Z [2022-11-23 01:32:09,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9937663Z [2022-11-23 01:32:09,774] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9937808Z  __compiled_fn_963 <eval_with_key>.5908 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9937903Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9937989Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9938173Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9938273Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9938279Z 
2022-11-23T01:32:32.9938610Z [2022-11-23 01:32:09,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9938711Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9939096Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9939194Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9939297Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9939384Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9939479Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9939569Z              12 RETURN_VALUE
2022-11-23T01:32:32.9939575Z 
2022-11-23T01:32:32.9939640Z  
2022-11-23T01:32:32.9939964Z [2022-11-23 01:32:09,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9940083Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_963)
2022-11-23T01:32:32.9940181Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9940277Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9940354Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9940450Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9940617Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9940700Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9940796Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9940910Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9941053Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9941143Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9941225Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9941318Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9941399Z              26 RETURN_VALUE
2022-11-23T01:32:32.9941404Z 
2022-11-23T01:32:32.9941469Z  
2022-11-23T01:32:32.9941666Z [2022-11-23 01:32:09,776] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9941744Z  - 
2022-11-23T01:32:32.9941863Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9941932Z             {
2022-11-23T01:32:32.9942078Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9942273Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9942399Z                 'obj_weakref': None
2022-11-23T01:32:32.9942627Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9942698Z             }
2022-11-23T01:32:32.9942760Z             
2022-11-23T01:32:32.9942837Z  - 
2022-11-23T01:32:32.9942966Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9943036Z             {
2022-11-23T01:32:32.9943183Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9943295Z                 'code': None,
2022-11-23T01:32:32.9943509Z                 'obj_weakref': <weakref at 0x7f1ffad86ca0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9943751Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9943821Z             }
2022-11-23T01:32:32.9943893Z             
2022-11-23T01:32:32.9943972Z  - 
2022-11-23T01:32:32.9944102Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9944170Z             {
2022-11-23T01:32:32.9944319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9944426Z                 'code': None,
2022-11-23T01:32:32.9944643Z                 'obj_weakref': <weakref at 0x7f1f25940db0; to 'Tensor' at 0x7f21159d8090>
2022-11-23T01:32:32.9944900Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9944969Z             }
2022-11-23T01:32:32.9945038Z             
2022-11-23T01:32:32.9945113Z  - 
2022-11-23T01:32:32.9945250Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9945312Z             {
2022-11-23T01:32:32.9945452Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9945629Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9945754Z                 'obj_weakref': None
2022-11-23T01:32:32.9945996Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9946065Z             }
2022-11-23T01:32:32.9946133Z             
2022-11-23T01:32:32.9946203Z  - 
2022-11-23T01:32:32.9946329Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9946401Z             {
2022-11-23T01:32:32.9946543Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9946768Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9946893Z                 'obj_weakref': None
2022-11-23T01:32:32.9947120Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9947183Z             }
2022-11-23T01:32:32.9947250Z             
2022-11-23T01:32:32.9947517Z [2022-11-23 01:32:09,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 945
2022-11-23T01:32:32.9947918Z [2022-11-23 01:32:11,317] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7p/c7pmbg476cowq5mjpnmogkkpaj67e34fjumgjqmuspwmiyvtb5t5.py
2022-11-23T01:32:32.9948191Z [2022-11-23 01:32:11,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 945
2022-11-23T01:32:32.9948221Z 
2022-11-23T01:32:32.9948322Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9948397Z import torch
2022-11-23T01:32:32.9948472Z import random
2022-11-23T01:32:32.9948589Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9948717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9948723Z 
2022-11-23T01:32:32.9948807Z aten = torch.ops.aten
2022-11-23T01:32:32.9948949Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9949045Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9949050Z 
2022-11-23T01:32:32.9949125Z import triton
2022-11-23T01:32:32.9949217Z import triton.language as tl
2022-11-23T01:32:32.9949348Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9949487Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9949493Z 
2022-11-23T01:32:32.9949507Z 
2022-11-23T01:32:32.9949641Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9949855Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9949987Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9950098Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:32.9950206Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9950356Z {
2022-11-23T01:32:32.9950476Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9950551Z     {
2022-11-23T01:32:32.9950650Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9950737Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9950807Z         {
2022-11-23T01:32:32.9950898Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9950971Z             {
2022-11-23T01:32:32.9951035Z                 {
2022-11-23T01:32:32.9951108Z                     {
2022-11-23T01:32:32.9951222Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9951324Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:32.9951449Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:32.9951551Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:32.9951654Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:32.9951720Z                     }
2022-11-23T01:32:32.9951792Z                 }
2022-11-23T01:32:32.9951860Z             }
2022-11-23T01:32:32.9951927Z         }
2022-11-23T01:32:32.9951995Z     }
2022-11-23T01:32:32.9952060Z }
2022-11-23T01:32:32.9952151Z ''')
2022-11-23T01:32:32.9952156Z 
2022-11-23T01:32:32.9952161Z 
2022-11-23T01:32:32.9952250Z async_compile.wait(globals())
2022-11-23T01:32:32.9952327Z del async_compile
2022-11-23T01:32:32.9952332Z 
2022-11-23T01:32:32.9952409Z def call(args):
2022-11-23T01:32:32.9952489Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9952566Z     args.clear()
2022-11-23T01:32:32.9952775Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9952958Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9953046Z     del arg0_1
2022-11-23T01:32:32.9953120Z     del arg1_1
2022-11-23T01:32:32.9953213Z     return (buf0, )
2022-11-23T01:32:32.9953218Z 
2022-11-23T01:32:32.9953222Z 
2022-11-23T01:32:32.9953303Z if __name__ == "__main__":
2022-11-23T01:32:32.9953424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9953552Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9953754Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9953945Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:32.9954096Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9954113Z 
2022-11-23T01:32:32.9954180Z ok (1.554s)
2022-11-23T01:32:32.9954519Z   test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9954858Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9955080Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9955336Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9955612Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9955932Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9956272Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9956593Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9956969Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9957062Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9957160Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9957239Z               4 BINARY_ADD
2022-11-23T01:32:32.9957334Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9957416Z               8 RETURN_VALUE
2022-11-23T01:32:32.9957486Z  
2022-11-23T01:32:32.9957491Z 
2022-11-23T01:32:32.9957801Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9958015Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9958249Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9958522Z [2022-11-23 01:32:11,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9958766Z [2022-11-23 01:32:11,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9959012Z [2022-11-23 01:32:11,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9959397Z [2022-11-23 01:32:11,324] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9959642Z [2022-11-23 01:32:11,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9959882Z [2022-11-23 01:32:11,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9960137Z [2022-11-23 01:32:11,325] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9960389Z [2022-11-23 01:32:11,328] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9960576Z [2022-11-23 01:32:11,329] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9960718Z  __compiled_fn_964 <eval_with_key>.5914 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9960812Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9960906Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9961111Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9961213Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9961219Z 
2022-11-23T01:32:32.9961545Z [2022-11-23 01:32:11,329] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9961673Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9961765Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9961859Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9961960Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9962052Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9962149Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9962233Z              12 RETURN_VALUE
2022-11-23T01:32:32.9962238Z 
2022-11-23T01:32:32.9962303Z  
2022-11-23T01:32:32.9962633Z [2022-11-23 01:32:11,329] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9962747Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_964)
2022-11-23T01:32:32.9962845Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9962944Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9963029Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9963124Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9963218Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9963299Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9963387Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9963499Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9963608Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9963703Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9963785Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9963881Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9963961Z              26 RETURN_VALUE
2022-11-23T01:32:32.9963967Z 
2022-11-23T01:32:32.9964026Z  
2022-11-23T01:32:32.9964215Z [2022-11-23 01:32:11,330] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9964293Z  - 
2022-11-23T01:32:32.9964419Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9964488Z             {
2022-11-23T01:32:32.9964634Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9964827Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9964946Z                 'obj_weakref': None
2022-11-23T01:32:32.9965171Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9965240Z             }
2022-11-23T01:32:32.9965308Z             
2022-11-23T01:32:32.9965384Z  - 
2022-11-23T01:32:32.9965511Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9965580Z             {
2022-11-23T01:32:32.9965724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9965836Z                 'code': None,
2022-11-23T01:32:32.9966046Z                 'obj_weakref': <weakref at 0x7f1f25969ee0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9966294Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9966367Z             }
2022-11-23T01:32:32.9966435Z             
2022-11-23T01:32:32.9966515Z  - 
2022-11-23T01:32:32.9966636Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9966705Z             {
2022-11-23T01:32:32.9966853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9966964Z                 'code': None,
2022-11-23T01:32:32.9967174Z                 'obj_weakref': <weakref at 0x7f1f259e8ae0; to 'Tensor' at 0x7f2115b20680>
2022-11-23T01:32:32.9967425Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9967535Z             }
2022-11-23T01:32:32.9967599Z             
2022-11-23T01:32:32.9967677Z  - 
2022-11-23T01:32:32.9967815Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9967883Z             {
2022-11-23T01:32:32.9968024Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9968224Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9968349Z                 'obj_weakref': None
2022-11-23T01:32:32.9968574Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9968644Z             }
2022-11-23T01:32:32.9968711Z             
2022-11-23T01:32:32.9968786Z  - 
2022-11-23T01:32:32.9968914Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9968982Z             {
2022-11-23T01:32:32.9969125Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9969340Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9969468Z                 'obj_weakref': None
2022-11-23T01:32:32.9969697Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9969766Z             }
2022-11-23T01:32:32.9969832Z             
2022-11-23T01:32:32.9970105Z [2022-11-23 01:32:11,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 946
2022-11-23T01:32:32.9970474Z [2022-11-23 01:32:12,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gq/cgqkqyyfijaap4lm655sokfmr6kh2var5iwo47dw73armiw3qfo5.py
2022-11-23T01:32:32.9970745Z [2022-11-23 01:32:12,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 946
2022-11-23T01:32:32.9970750Z 
2022-11-23T01:32:32.9970844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9970919Z import torch
2022-11-23T01:32:32.9970995Z import random
2022-11-23T01:32:32.9971116Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9971248Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9971253Z 
2022-11-23T01:32:32.9971337Z aten = torch.ops.aten
2022-11-23T01:32:32.9971478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9971576Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9971584Z 
2022-11-23T01:32:32.9971652Z import triton
2022-11-23T01:32:32.9971746Z import triton.language as tl
2022-11-23T01:32:32.9971874Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9972018Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9972024Z 
2022-11-23T01:32:32.9972028Z 
2022-11-23T01:32:32.9972169Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9972379Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9972507Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9972619Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9972721Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9972787Z {
2022-11-23T01:32:32.9972905Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9972981Z     {
2022-11-23T01:32:32.9973091Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9973192Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9973260Z         {
2022-11-23T01:32:32.9973347Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9973415Z             {
2022-11-23T01:32:32.9973484Z                 {
2022-11-23T01:32:32.9973556Z                     {
2022-11-23T01:32:32.9973671Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9973783Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9973879Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9973984Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9974056Z                     }
2022-11-23T01:32:32.9974159Z                 }
2022-11-23T01:32:32.9974229Z             }
2022-11-23T01:32:32.9974296Z         }
2022-11-23T01:32:32.9974363Z     }
2022-11-23T01:32:32.9974422Z }
2022-11-23T01:32:32.9974513Z ''')
2022-11-23T01:32:32.9974518Z 
2022-11-23T01:32:32.9974523Z 
2022-11-23T01:32:32.9974643Z async_compile.wait(globals())
2022-11-23T01:32:32.9974722Z del async_compile
2022-11-23T01:32:32.9974727Z 
2022-11-23T01:32:32.9974802Z def call(args):
2022-11-23T01:32:32.9974883Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9974959Z     args.clear()
2022-11-23T01:32:32.9975166Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9975332Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9975411Z     del arg0_1
2022-11-23T01:32:32.9975484Z     del arg1_1
2022-11-23T01:32:32.9975559Z     return (buf0, )
2022-11-23T01:32:32.9975564Z 
2022-11-23T01:32:32.9975569Z 
2022-11-23T01:32:32.9975652Z if __name__ == "__main__":
2022-11-23T01:32:32.9975772Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9975902Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9976099Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9976301Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9976425Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9976430Z 
2022-11-23T01:32:32.9976503Z ok (1.559s)
2022-11-23T01:32:32.9976848Z   test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:12,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9977168Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:32.9977391Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:32.9977644Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:32.9977922Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:32.9978235Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9978579Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9979016Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:32.9979398Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:32.9979501Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:32.9979598Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:32.9979677Z               4 BINARY_ADD
2022-11-23T01:32:32.9979774Z               6 BUILD_TUPLE              1
2022-11-23T01:32:32.9979854Z               8 RETURN_VALUE
2022-11-23T01:32:32.9979913Z  
2022-11-23T01:32:32.9979918Z 
2022-11-23T01:32:32.9980233Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:32.9980451Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:32.9980694Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:32.9981021Z [2022-11-23 01:32:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:32.9981273Z [2022-11-23 01:32:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:32.9981523Z [2022-11-23 01:32:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9981938Z [2022-11-23 01:32:12,883] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:32.9982189Z [2022-11-23 01:32:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:32.9982430Z [2022-11-23 01:32:12,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:32.9982684Z [2022-11-23 01:32:12,884] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:32.9982941Z [2022-11-23 01:32:12,887] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:32.9983137Z [2022-11-23 01:32:12,888] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:32.9983278Z  __compiled_fn_965 <eval_with_key>.5920 opcode, name, target, args, kwargs
2022-11-23T01:32:32.9983380Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:32.9983474Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:32.9983656Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:32.9983750Z output, output, output, ((add,),), {}
2022-11-23T01:32:32.9983762Z 
2022-11-23T01:32:32.9984088Z [2022-11-23 01:32:12,888] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9984191Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:32.9984289Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9984383Z               4 BUILD_MAP                0
2022-11-23T01:32:32.9984486Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:32.9984580Z               8 DICT_MERGE               1
2022-11-23T01:32:32.9984675Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:32.9984751Z              12 RETURN_VALUE
2022-11-23T01:32:32.9984765Z 
2022-11-23T01:32:32.9984825Z  
2022-11-23T01:32:32.9985145Z [2022-11-23 01:32:12,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:32.9985265Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_965)
2022-11-23T01:32:32.9985362Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9985459Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9985541Z               6 BINARY_SUBSCR
2022-11-23T01:32:32.9985635Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:32.9985724Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:32.9985805Z              12 BINARY_SUBSCR
2022-11-23T01:32:32.9985901Z              14 CALL_FUNCTION            2
2022-11-23T01:32:32.9986014Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:32.9986124Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:32.9986219Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:32.9986303Z              22 BINARY_SUBSCR
2022-11-23T01:32:32.9986391Z              24 BUILD_TUPLE              1
2022-11-23T01:32:32.9986473Z              26 RETURN_VALUE
2022-11-23T01:32:32.9986478Z 
2022-11-23T01:32:32.9986543Z  
2022-11-23T01:32:32.9986730Z [2022-11-23 01:32:12,889] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:32.9986809Z  - 
2022-11-23T01:32:32.9986933Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:32.9987003Z             {
2022-11-23T01:32:32.9987140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:32.9987332Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:32.9987488Z                 'obj_weakref': None
2022-11-23T01:32:32.9987714Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:32.9987788Z             }
2022-11-23T01:32:32.9987857Z             
2022-11-23T01:32:32.9987933Z  - 
2022-11-23T01:32:32.9988082Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:32.9988151Z             {
2022-11-23T01:32:32.9988298Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9988411Z                 'code': None,
2022-11-23T01:32:32.9988624Z                 'obj_weakref': <weakref at 0x7f1f25b0d3a0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:32.9988873Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9988942Z             }
2022-11-23T01:32:32.9989004Z             
2022-11-23T01:32:32.9989080Z  - 
2022-11-23T01:32:32.9989211Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:32.9989279Z             {
2022-11-23T01:32:32.9989430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:32.9989541Z                 'code': None,
2022-11-23T01:32:32.9989754Z                 'obj_weakref': <weakref at 0x7f1f25968c20; to 'Tensor' at 0x7f2115b20680>
2022-11-23T01:32:32.9990001Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:32.9990070Z             }
2022-11-23T01:32:32.9990138Z             
2022-11-23T01:32:32.9990213Z  - 
2022-11-23T01:32:32.9990429Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:32.9990511Z             {
2022-11-23T01:32:32.9990669Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:32.9990839Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:32.9990964Z                 'obj_weakref': None
2022-11-23T01:32:32.9991199Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:32.9991271Z             }
2022-11-23T01:32:32.9991338Z             
2022-11-23T01:32:32.9991413Z  - 
2022-11-23T01:32:32.9991540Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:32.9991603Z             {
2022-11-23T01:32:32.9991745Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:32.9991966Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:32.9992090Z                 'obj_weakref': None
2022-11-23T01:32:32.9992317Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:32.9992384Z             }
2022-11-23T01:32:32.9992453Z             
2022-11-23T01:32:32.9992713Z [2022-11-23 01:32:12,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 947
2022-11-23T01:32:32.9993083Z [2022-11-23 01:32:14,457] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/au/cauyr5karjh2vr44zwmowonneho4kxgp6icytqnx7c6c5humdejm.py
2022-11-23T01:32:32.9993364Z [2022-11-23 01:32:14,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 947
2022-11-23T01:32:32.9993371Z 
2022-11-23T01:32:32.9993486Z from ctypes import c_void_p, c_long
2022-11-23T01:32:32.9993572Z import torch
2022-11-23T01:32:32.9993661Z import random
2022-11-23T01:32:32.9993783Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:32.9993910Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:32.9993915Z 
2022-11-23T01:32:32.9994001Z aten = torch.ops.aten
2022-11-23T01:32:32.9994136Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:32.9994235Z async_compile = AsyncCompile()
2022-11-23T01:32:32.9994240Z 
2022-11-23T01:32:32.9994317Z import triton
2022-11-23T01:32:32.9994410Z import triton.language as tl
2022-11-23T01:32:32.9994539Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:32.9994684Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:32.9994729Z 
2022-11-23T01:32:32.9994734Z 
2022-11-23T01:32:32.9994875Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:32.9995086Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:32.9995207Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:32.9995354Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:32.9995461Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:32.9995529Z {
2022-11-23T01:32:32.9995632Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:32.9995698Z     {
2022-11-23T01:32:32.9995796Z         #pragma omp for  collapse(2)
2022-11-23T01:32:32.9995878Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:32.9995945Z         {
2022-11-23T01:32:32.9996038Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:32.9996109Z             {
2022-11-23T01:32:32.9996179Z                 {
2022-11-23T01:32:32.9996251Z                     {
2022-11-23T01:32:32.9996363Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:32.9996474Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:32.9996576Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:32.9996678Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:32.9996752Z                     }
2022-11-23T01:32:32.9996827Z                 }
2022-11-23T01:32:32.9996895Z             }
2022-11-23T01:32:32.9996957Z         }
2022-11-23T01:32:32.9997024Z     }
2022-11-23T01:32:32.9997089Z }
2022-11-23T01:32:32.9997176Z ''')
2022-11-23T01:32:32.9997182Z 
2022-11-23T01:32:32.9997186Z 
2022-11-23T01:32:32.9997281Z async_compile.wait(globals())
2022-11-23T01:32:32.9997359Z del async_compile
2022-11-23T01:32:32.9997364Z 
2022-11-23T01:32:32.9997443Z def call(args):
2022-11-23T01:32:32.9997523Z     arg0_1, arg1_1 = args
2022-11-23T01:32:32.9997593Z     args.clear()
2022-11-23T01:32:32.9997802Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9997976Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:32.9998050Z     del arg0_1
2022-11-23T01:32:32.9998122Z     del arg1_1
2022-11-23T01:32:32.9998201Z     return (buf0, )
2022-11-23T01:32:32.9998206Z 
2022-11-23T01:32:32.9998211Z 
2022-11-23T01:32:32.9998291Z if __name__ == "__main__":
2022-11-23T01:32:32.9998407Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:32.9998536Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:32.9998742Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9998942Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:32.9999065Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:32.9999070Z 
2022-11-23T01:32:32.9999142Z ok (1.581s)
2022-11-23T01:32:32.9999493Z   test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:32.9999811Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0000035Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0000282Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0000563Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0000880Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0001260Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0001589Z [2022-11-23 01:32:14,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0001994Z [2022-11-23 01:32:14,463] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0002096Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0002194Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0002273Z               4 BINARY_ADD
2022-11-23T01:32:33.0002362Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0002464Z               8 RETURN_VALUE
2022-11-23T01:32:33.0002537Z  
2022-11-23T01:32:33.0002542Z 
2022-11-23T01:32:33.0002884Z [2022-11-23 01:32:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0003097Z [2022-11-23 01:32:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0003342Z [2022-11-23 01:32:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0003622Z [2022-11-23 01:32:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0003869Z [2022-11-23 01:32:14,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0004121Z [2022-11-23 01:32:14,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0004501Z [2022-11-23 01:32:14,464] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0004754Z [2022-11-23 01:32:14,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0004994Z [2022-11-23 01:32:14,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0005254Z [2022-11-23 01:32:14,465] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0005510Z [2022-11-23 01:32:14,469] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0005704Z [2022-11-23 01:32:14,469] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0005846Z  __compiled_fn_966 <eval_with_key>.5926 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0005942Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0006036Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0006213Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0006314Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0006319Z 
2022-11-23T01:32:33.0006645Z [2022-11-23 01:32:14,469] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0006746Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0006844Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0006940Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0007041Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0007127Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0007224Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0007307Z              12 RETURN_VALUE
2022-11-23T01:32:33.0007312Z 
2022-11-23T01:32:33.0007377Z  
2022-11-23T01:32:33.0007696Z [2022-11-23 01:32:14,469] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0007814Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_966)
2022-11-23T01:32:33.0007949Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0008049Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0008126Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0008222Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0008339Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0008422Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0008516Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0008628Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0008737Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0008827Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0008908Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0009002Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0009088Z              26 RETURN_VALUE
2022-11-23T01:32:33.0009093Z 
2022-11-23T01:32:33.0009157Z  
2022-11-23T01:32:33.0009352Z [2022-11-23 01:32:14,470] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0009428Z  - 
2022-11-23T01:32:33.0009546Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0009615Z             {
2022-11-23T01:32:33.0009760Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0009959Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0010083Z                 'obj_weakref': None
2022-11-23T01:32:33.0010308Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0010377Z             }
2022-11-23T01:32:33.0010440Z             
2022-11-23T01:32:33.0010516Z  - 
2022-11-23T01:32:33.0010643Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0010713Z             {
2022-11-23T01:32:33.0010861Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0010972Z                 'code': None,
2022-11-23T01:32:33.0011192Z                 'obj_weakref': <weakref at 0x7f1fd97e4e50; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:33.0011443Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0011506Z             }
2022-11-23T01:32:33.0011574Z             
2022-11-23T01:32:33.0011653Z  - 
2022-11-23T01:32:33.0011780Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0011848Z             {
2022-11-23T01:32:33.0011995Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0012099Z                 'code': None,
2022-11-23T01:32:33.0012319Z                 'obj_weakref': <weakref at 0x7f1f25a4c8b0; to 'Tensor' at 0x7f1f25968180>
2022-11-23T01:32:33.0012592Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0012666Z             }
2022-11-23T01:32:33.0012748Z             
2022-11-23T01:32:33.0012832Z  - 
2022-11-23T01:32:33.0012967Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0013031Z             {
2022-11-23T01:32:33.0013171Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0013346Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0013470Z                 'obj_weakref': None
2022-11-23T01:32:33.0013704Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0013773Z             }
2022-11-23T01:32:33.0013841Z             
2022-11-23T01:32:33.0013910Z  - 
2022-11-23T01:32:33.0014037Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0014105Z             {
2022-11-23T01:32:33.0014246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0014469Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0014591Z                 'obj_weakref': None
2022-11-23T01:32:33.0014819Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0014945Z             }
2022-11-23T01:32:33.0015009Z             
2022-11-23T01:32:33.0015278Z [2022-11-23 01:32:14,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 948
2022-11-23T01:32:33.0015649Z [2022-11-23 01:32:14,482] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/ceb4y3ct5buoplsie6x26uvtqwh5xth4klhzi7kmoi4dt4jajigx.py
2022-11-23T01:32:33.0015941Z [2022-11-23 01:32:14,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 948
2022-11-23T01:32:33.0015947Z 
2022-11-23T01:32:33.0016048Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0016126Z import torch
2022-11-23T01:32:33.0016201Z import random
2022-11-23T01:32:33.0016316Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0016442Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0016447Z 
2022-11-23T01:32:33.0016529Z aten = torch.ops.aten
2022-11-23T01:32:33.0016673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0016776Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0016781Z 
2022-11-23T01:32:33.0016854Z import triton
2022-11-23T01:32:33.0016947Z import triton.language as tl
2022-11-23T01:32:33.0017077Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0017219Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0017224Z 
2022-11-23T01:32:33.0017236Z 
2022-11-23T01:32:33.0017369Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0017580Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0017707Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0017818Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0017925Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0017993Z {
2022-11-23T01:32:33.0018095Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0018158Z     {
2022-11-23T01:32:33.0018241Z         #pragma omp for 
2022-11-23T01:32:33.0018331Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0018400Z         {
2022-11-23T01:32:33.0018490Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:33.0018557Z             {
2022-11-23T01:32:33.0018737Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:33.0018991Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:33.0019089Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0019205Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:33.0019274Z             }
2022-11-23T01:32:33.0019372Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:33.0019463Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:33.0019531Z             {
2022-11-23T01:32:33.0019628Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:33.0019722Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:33.0019814Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0019912Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:33.0019979Z             }
2022-11-23T01:32:33.0020047Z         }
2022-11-23T01:32:33.0020114Z     }
2022-11-23T01:32:33.0020180Z }
2022-11-23T01:32:33.0020269Z ''')
2022-11-23T01:32:33.0020275Z 
2022-11-23T01:32:33.0020279Z 
2022-11-23T01:32:33.0020374Z async_compile.wait(globals())
2022-11-23T01:32:33.0020451Z del async_compile
2022-11-23T01:32:33.0020457Z 
2022-11-23T01:32:33.0020532Z def call(args):
2022-11-23T01:32:33.0020613Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0020690Z     args.clear()
2022-11-23T01:32:33.0020889Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0021061Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0021134Z     del arg0_1
2022-11-23T01:32:33.0021206Z     del arg1_1
2022-11-23T01:32:33.0021324Z     return (buf0, )
2022-11-23T01:32:33.0021331Z 
2022-11-23T01:32:33.0021335Z 
2022-11-23T01:32:33.0021419Z if __name__ == "__main__":
2022-11-23T01:32:33.0021541Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0021670Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0021895Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0022092Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0022215Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0022221Z 
2022-11-23T01:32:33.0022293Z ok (0.025s)
2022-11-23T01:32:33.0022641Z   test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0022989Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0023233Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0023489Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0023770Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0024079Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0024424Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0024748Z [2022-11-23 01:32:14,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0025126Z [2022-11-23 01:32:14,488] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0025225Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0025324Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0025403Z               4 BINARY_ADD
2022-11-23T01:32:33.0025497Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0025578Z               8 RETURN_VALUE
2022-11-23T01:32:33.0025637Z  
2022-11-23T01:32:33.0025642Z 
2022-11-23T01:32:33.0025953Z [2022-11-23 01:32:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0026169Z [2022-11-23 01:32:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0026413Z [2022-11-23 01:32:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0026690Z [2022-11-23 01:32:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0026940Z [2022-11-23 01:32:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0027192Z [2022-11-23 01:32:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0027574Z [2022-11-23 01:32:14,489] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0027825Z [2022-11-23 01:32:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0028056Z [2022-11-23 01:32:14,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0028343Z [2022-11-23 01:32:14,490] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0028599Z [2022-11-23 01:32:14,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0028795Z [2022-11-23 01:32:14,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0028960Z  __compiled_fn_967 <eval_with_key>.5932 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0029054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0029148Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0029332Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0029426Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0029432Z 
2022-11-23T01:32:33.0029767Z [2022-11-23 01:32:14,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0029870Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0029969Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0030065Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0030164Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0030327Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0030439Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0030527Z              12 RETURN_VALUE
2022-11-23T01:32:33.0030533Z 
2022-11-23T01:32:33.0030613Z  
2022-11-23T01:32:33.0030981Z [2022-11-23 01:32:14,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0031107Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_967)
2022-11-23T01:32:33.0031205Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0031302Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0031383Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0031481Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0031571Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0031651Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0031747Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0031859Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0031971Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0032068Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0032149Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0032236Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0032318Z              26 RETURN_VALUE
2022-11-23T01:32:33.0032323Z 
2022-11-23T01:32:33.0032389Z  
2022-11-23T01:32:33.0032578Z [2022-11-23 01:32:14,494] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0032654Z  - 
2022-11-23T01:32:33.0032778Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0032847Z             {
2022-11-23T01:32:33.0032988Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0033183Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0033310Z                 'obj_weakref': None
2022-11-23T01:32:33.0033536Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0033609Z             }
2022-11-23T01:32:33.0033677Z             
2022-11-23T01:32:33.0033754Z  - 
2022-11-23T01:32:33.0033877Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0033947Z             {
2022-11-23T01:32:33.0034096Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0034208Z                 'code': None,
2022-11-23T01:32:33.0034425Z                 'obj_weakref': <weakref at 0x7f1f25e9fba0; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:33.0034672Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0034742Z             }
2022-11-23T01:32:33.0034842Z             
2022-11-23T01:32:33.0034919Z  - 
2022-11-23T01:32:33.0035047Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0035115Z             {
2022-11-23T01:32:33.0035263Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0035373Z                 'code': None,
2022-11-23T01:32:33.0035609Z                 'obj_weakref': <weakref at 0x7f1f2599ddf0; to 'Tensor' at 0x7f1f25942700>
2022-11-23T01:32:33.0035851Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0035922Z             }
2022-11-23T01:32:33.0035989Z             
2022-11-23T01:32:33.0036065Z  - 
2022-11-23T01:32:33.0036200Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0036268Z             {
2022-11-23T01:32:33.0036406Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0036574Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0036698Z                 'obj_weakref': None
2022-11-23T01:32:33.0036928Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0036997Z             }
2022-11-23T01:32:33.0037066Z             
2022-11-23T01:32:33.0037141Z  - 
2022-11-23T01:32:33.0037266Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0037331Z             {
2022-11-23T01:32:33.0037472Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0037689Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0037811Z                 'obj_weakref': None
2022-11-23T01:32:33.0038034Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0038103Z             }
2022-11-23T01:32:33.0038170Z             
2022-11-23T01:32:33.0038424Z [2022-11-23 01:32:14,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 949
2022-11-23T01:32:33.0038789Z [2022-11-23 01:32:14,506] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ns/cns647naidosbwjh3cjfyq7kkz46mpdu6fv4n37gihukmzd6uvbe.py
2022-11-23T01:32:33.0039055Z [2022-11-23 01:32:14,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 949
2022-11-23T01:32:33.0039063Z 
2022-11-23T01:32:33.0039164Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0039238Z import torch
2022-11-23T01:32:33.0039313Z import random
2022-11-23T01:32:33.0039439Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0039568Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0039573Z 
2022-11-23T01:32:33.0039650Z aten = torch.ops.aten
2022-11-23T01:32:33.0039790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0039888Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0039893Z 
2022-11-23T01:32:33.0039970Z import triton
2022-11-23T01:32:33.0040063Z import triton.language as tl
2022-11-23T01:32:33.0040191Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0040335Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0040340Z 
2022-11-23T01:32:33.0040345Z 
2022-11-23T01:32:33.0040486Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0040694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0040820Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0040933Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0041040Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0041106Z {
2022-11-23T01:32:33.0041210Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0041276Z     {
2022-11-23T01:32:33.0041352Z         #pragma omp for 
2022-11-23T01:32:33.0041440Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0041508Z         {
2022-11-23T01:32:33.0041596Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:33.0041694Z             {
2022-11-23T01:32:33.0041850Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:33.0041992Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:32:33.0042108Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0042214Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:32:33.0042281Z             }
2022-11-23T01:32:33.0042379Z             #pragma omp simd simdlen(4) 
2022-11-23T01:32:33.0042470Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:32:33.0042536Z             {
2022-11-23T01:32:33.0042638Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:33.0042729Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:33.0042815Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0042913Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:33.0042980Z             }
2022-11-23T01:32:33.0043047Z         }
2022-11-23T01:32:33.0043116Z     }
2022-11-23T01:32:33.0043182Z }
2022-11-23T01:32:33.0043262Z ''')
2022-11-23T01:32:33.0043267Z 
2022-11-23T01:32:33.0043278Z 
2022-11-23T01:32:33.0043367Z async_compile.wait(globals())
2022-11-23T01:32:33.0043445Z del async_compile
2022-11-23T01:32:33.0043454Z 
2022-11-23T01:32:33.0043529Z def call(args):
2022-11-23T01:32:33.0043609Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0043686Z     args.clear()
2022-11-23T01:32:33.0043898Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0044069Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0044136Z     del arg0_1
2022-11-23T01:32:33.0044207Z     del arg1_1
2022-11-23T01:32:33.0044283Z     return (buf0, )
2022-11-23T01:32:33.0044288Z 
2022-11-23T01:32:33.0044292Z 
2022-11-23T01:32:33.0044373Z if __name__ == "__main__":
2022-11-23T01:32:33.0044493Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0044624Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0044827Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0045035Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0045154Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0045159Z 
2022-11-23T01:32:33.0045231Z ok (0.027s)
2022-11-23T01:32:33.0045577Z   test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0045892Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0046114Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0046369Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0046646Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0046967Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0047310Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0047628Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0047998Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0048129Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0048230Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0048316Z               4 BINARY_ADD
2022-11-23T01:32:33.0048412Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0048521Z               8 RETURN_VALUE
2022-11-23T01:32:33.0048587Z  
2022-11-23T01:32:33.0048592Z 
2022-11-23T01:32:33.0048904Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0049114Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0049358Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0049639Z [2022-11-23 01:32:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0049891Z [2022-11-23 01:32:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0050141Z [2022-11-23 01:32:14,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0050523Z [2022-11-23 01:32:14,516] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0050774Z [2022-11-23 01:32:14,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0051010Z [2022-11-23 01:32:14,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0051271Z [2022-11-23 01:32:14,516] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0051516Z [2022-11-23 01:32:14,519] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0051713Z [2022-11-23 01:32:14,519] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0051856Z  __compiled_fn_968 <eval_with_key>.5938 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0051951Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0052044Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0052229Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0052330Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0052335Z 
2022-11-23T01:32:33.0052666Z [2022-11-23 01:32:14,520] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0052761Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0052859Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0052954Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0053054Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0053149Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0053245Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0053328Z              12 RETURN_VALUE
2022-11-23T01:32:33.0053333Z 
2022-11-23T01:32:33.0053400Z  
2022-11-23T01:32:33.0053712Z [2022-11-23 01:32:14,520] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0053834Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_968)
2022-11-23T01:32:33.0053931Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0054031Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0054114Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0054209Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0054304Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0054379Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0054472Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0054620Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0054733Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0054832Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0054913Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0055033Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0055109Z              26 RETURN_VALUE
2022-11-23T01:32:33.0055122Z 
2022-11-23T01:32:33.0055181Z  
2022-11-23T01:32:33.0055374Z [2022-11-23 01:32:14,520] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0055450Z  - 
2022-11-23T01:32:33.0055577Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0055647Z             {
2022-11-23T01:32:33.0055793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0055986Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0056104Z                 'obj_weakref': None
2022-11-23T01:32:33.0056333Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0056404Z             }
2022-11-23T01:32:33.0056472Z             
2022-11-23T01:32:33.0056550Z  - 
2022-11-23T01:32:33.0056679Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0056744Z             {
2022-11-23T01:32:33.0056892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0057005Z                 'code': None,
2022-11-23T01:32:33.0057221Z                 'obj_weakref': <weakref at 0x7f1f25a4ccc0; to 'Tensor' at 0x7f1f259cb9c0>
2022-11-23T01:32:33.0057471Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0057544Z             }
2022-11-23T01:32:33.0057614Z             
2022-11-23T01:32:33.0057690Z  - 
2022-11-23T01:32:33.0057811Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0057881Z             {
2022-11-23T01:32:33.0058028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0058142Z                 'code': None,
2022-11-23T01:32:33.0058351Z                 'obj_weakref': <weakref at 0x7f2151f19800; to 'Tensor' at 0x7f1fd8375530>
2022-11-23T01:32:33.0058604Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0058677Z             }
2022-11-23T01:32:33.0058739Z             
2022-11-23T01:32:33.0059068Z  - 
2022-11-23T01:32:33.0059213Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0059285Z             {
2022-11-23T01:32:33.0059428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0059604Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0059728Z                 'obj_weakref': None
2022-11-23T01:32:33.0059955Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0060027Z             }
2022-11-23T01:32:33.0060096Z             
2022-11-23T01:32:33.0060172Z  - 
2022-11-23T01:32:33.0060301Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0060370Z             {
2022-11-23T01:32:33.0060505Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0060727Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0060856Z                 'obj_weakref': None
2022-11-23T01:32:33.0061081Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0061151Z             }
2022-11-23T01:32:33.0061220Z             
2022-11-23T01:32:33.0061486Z [2022-11-23 01:32:14,524] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 950
2022-11-23T01:32:33.0061860Z [2022-11-23 01:32:14,532] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ce/ccewy6d43nqbsdjhranndohp7q3nuzpkvdeiwazjl4glcfxg2khh.py
2022-11-23T01:32:33.0062205Z [2022-11-23 01:32:14,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 950
2022-11-23T01:32:33.0062220Z 
2022-11-23T01:32:33.0062315Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0062392Z import torch
2022-11-23T01:32:33.0062471Z import random
2022-11-23T01:32:33.0062594Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0062754Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0062759Z 
2022-11-23T01:32:33.0062842Z aten = torch.ops.aten
2022-11-23T01:32:33.0062984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0063076Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0063081Z 
2022-11-23T01:32:33.0063157Z import triton
2022-11-23T01:32:33.0063251Z import triton.language as tl
2022-11-23T01:32:33.0063379Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0063523Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0063529Z 
2022-11-23T01:32:33.0063534Z 
2022-11-23T01:32:33.0063678Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0063889Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0064016Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0064122Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0064233Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0064300Z {
2022-11-23T01:32:33.0064404Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0064471Z     {
2022-11-23T01:32:33.0064554Z         #pragma omp for 
2022-11-23T01:32:33.0064643Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:33.0064706Z         {
2022-11-23T01:32:33.0064853Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:33.0064982Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:33.0065073Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0065175Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:33.0065244Z         }
2022-11-23T01:32:33.0065345Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:33.0065428Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:33.0065497Z         {
2022-11-23T01:32:33.0065588Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:33.0065681Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:33.0065773Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0065859Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:33.0065929Z         }
2022-11-23T01:32:33.0065990Z     }
2022-11-23T01:32:33.0066056Z }
2022-11-23T01:32:33.0066144Z ''')
2022-11-23T01:32:33.0066150Z 
2022-11-23T01:32:33.0066155Z 
2022-11-23T01:32:33.0066250Z async_compile.wait(globals())
2022-11-23T01:32:33.0066329Z del async_compile
2022-11-23T01:32:33.0066334Z 
2022-11-23T01:32:33.0066410Z def call(args):
2022-11-23T01:32:33.0066490Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0066560Z     args.clear()
2022-11-23T01:32:33.0066774Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0066947Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0067021Z     del arg0_1
2022-11-23T01:32:33.0067093Z     del arg1_1
2022-11-23T01:32:33.0067171Z     return (buf0, )
2022-11-23T01:32:33.0067176Z 
2022-11-23T01:32:33.0067181Z 
2022-11-23T01:32:33.0067262Z if __name__ == "__main__":
2022-11-23T01:32:33.0067383Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0067505Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0067711Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0067912Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0068034Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0068039Z 
2022-11-23T01:32:33.0068114Z ok (0.023s)
2022-11-23T01:32:33.0068498Z   test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0068814Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0069065Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0069319Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0069592Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0069912Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0070368Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0070736Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0071149Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0071249Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0071348Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0071427Z               4 BINARY_ADD
2022-11-23T01:32:33.0071522Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0071598Z               8 RETURN_VALUE
2022-11-23T01:32:33.0071663Z  
2022-11-23T01:32:33.0071668Z 
2022-11-23T01:32:33.0071985Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0072199Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0072440Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0072718Z [2022-11-23 01:32:14,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0072961Z [2022-11-23 01:32:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0073210Z [2022-11-23 01:32:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0073597Z [2022-11-23 01:32:14,539] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0073840Z [2022-11-23 01:32:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0074080Z [2022-11-23 01:32:14,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0074339Z [2022-11-23 01:32:14,540] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0074598Z [2022-11-23 01:32:14,542] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0074790Z [2022-11-23 01:32:14,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0074934Z  __compiled_fn_969 <eval_with_key>.5944 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0075028Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0075123Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0075300Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0075400Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0075405Z 
2022-11-23T01:32:33.0075771Z [2022-11-23 01:32:14,543] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0075874Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0075972Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0076093Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0076196Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0076288Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0076376Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0076458Z              12 RETURN_VALUE
2022-11-23T01:32:33.0076463Z 
2022-11-23T01:32:33.0076529Z  
2022-11-23T01:32:33.0076847Z [2022-11-23 01:32:14,543] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0076964Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_969)
2022-11-23T01:32:33.0077065Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0077162Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0077246Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0077334Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0077432Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0077514Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0077608Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0077725Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0077837Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0077932Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0078007Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0078099Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0078180Z              26 RETURN_VALUE
2022-11-23T01:32:33.0078186Z 
2022-11-23T01:32:33.0078250Z  
2022-11-23T01:32:33.0078442Z [2022-11-23 01:32:14,543] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0078520Z  - 
2022-11-23T01:32:33.0078642Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0078705Z             {
2022-11-23T01:32:33.0078849Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0079044Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0079169Z                 'obj_weakref': None
2022-11-23T01:32:33.0079394Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0079465Z             }
2022-11-23T01:32:33.0079533Z             
2022-11-23T01:32:33.0079602Z  - 
2022-11-23T01:32:33.0079731Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0079804Z             {
2022-11-23T01:32:33.0079952Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0080063Z                 'code': None,
2022-11-23T01:32:33.0080278Z                 'obj_weakref': <weakref at 0x7f1f25ab3e70; to 'Tensor' at 0x7f1f25b0f5b0>
2022-11-23T01:32:33.0080530Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0080592Z             }
2022-11-23T01:32:33.0080660Z             
2022-11-23T01:32:33.0080739Z  - 
2022-11-23T01:32:33.0080867Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0080936Z             {
2022-11-23T01:32:33.0081082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0081193Z                 'code': None,
2022-11-23T01:32:33.0081398Z                 'obj_weakref': <weakref at 0x7f1f25bb9350; to 'Tensor' at 0x7f1f2599c0e0>
2022-11-23T01:32:33.0081648Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0081717Z             }
2022-11-23T01:32:33.0081785Z             
2022-11-23T01:32:33.0081860Z  - 
2022-11-23T01:32:33.0081996Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0082116Z             {
2022-11-23T01:32:33.0082253Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0082430Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0082554Z                 'obj_weakref': None
2022-11-23T01:32:33.0082813Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0082887Z             }
2022-11-23T01:32:33.0082958Z             
2022-11-23T01:32:33.0083034Z  - 
2022-11-23T01:32:33.0083154Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0083227Z             {
2022-11-23T01:32:33.0083369Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0083593Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0083717Z                 'obj_weakref': None
2022-11-23T01:32:33.0083944Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0084016Z             }
2022-11-23T01:32:33.0084078Z             
2022-11-23T01:32:33.0084345Z [2022-11-23 01:32:14,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 951
2022-11-23T01:32:33.0084711Z [2022-11-23 01:32:16,080] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cigtnc6g3vkxgl5ymxl42sh65rkbru53jlvjlgi5h45ueljvttyu.py
2022-11-23T01:32:33.0084987Z [2022-11-23 01:32:16,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 951
2022-11-23T01:32:33.0084993Z 
2022-11-23T01:32:33.0085094Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0085169Z import torch
2022-11-23T01:32:33.0085245Z import random
2022-11-23T01:32:33.0085368Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0085489Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0085494Z 
2022-11-23T01:32:33.0085580Z aten = torch.ops.aten
2022-11-23T01:32:33.0085725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0085824Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0085829Z 
2022-11-23T01:32:33.0085903Z import triton
2022-11-23T01:32:33.0085996Z import triton.language as tl
2022-11-23T01:32:33.0086125Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0086274Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0086279Z 
2022-11-23T01:32:33.0086284Z 
2022-11-23T01:32:33.0086417Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0086630Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0086757Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0086870Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0086976Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0087043Z {
2022-11-23T01:32:33.0087146Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0087209Z     {
2022-11-23T01:32:33.0087305Z         #pragma omp for  collapse(2)
2022-11-23T01:32:33.0087393Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0087460Z         {
2022-11-23T01:32:33.0087552Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:33.0087623Z             {
2022-11-23T01:32:33.0087693Z                 {
2022-11-23T01:32:33.0087759Z                     {
2022-11-23T01:32:33.0087871Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:33.0087983Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:33.0088084Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0088189Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:33.0088262Z                     }
2022-11-23T01:32:33.0088336Z                 }
2022-11-23T01:32:33.0088397Z             }
2022-11-23T01:32:33.0088466Z         }
2022-11-23T01:32:33.0088534Z     }
2022-11-23T01:32:33.0088600Z }
2022-11-23T01:32:33.0088688Z ''')
2022-11-23T01:32:33.0088740Z 
2022-11-23T01:32:33.0088745Z 
2022-11-23T01:32:33.0088843Z async_compile.wait(globals())
2022-11-23T01:32:33.0088922Z del async_compile
2022-11-23T01:32:33.0088927Z 
2022-11-23T01:32:33.0088996Z def call(args):
2022-11-23T01:32:33.0089077Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0089182Z     args.clear()
2022-11-23T01:32:33.0089389Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0089561Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0089633Z     del arg0_1
2022-11-23T01:32:33.0089707Z     del arg1_1
2022-11-23T01:32:33.0089776Z     return (buf0, )
2022-11-23T01:32:33.0089789Z 
2022-11-23T01:32:33.0089793Z 
2022-11-23T01:32:33.0089869Z if __name__ == "__main__":
2022-11-23T01:32:33.0089987Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0090116Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0090325Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0090528Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0090652Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0090660Z 
2022-11-23T01:32:33.0090733Z ok (1.548s)
2022-11-23T01:32:33.0091074Z   test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0091385Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0091608Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0091864Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0092144Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0092463Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0092807Z [2022-11-23 01:32:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0093127Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0093504Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0093604Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0093705Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0093778Z               4 BINARY_ADD
2022-11-23T01:32:33.0093876Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0093958Z               8 RETURN_VALUE
2022-11-23T01:32:33.0094027Z  
2022-11-23T01:32:33.0094032Z 
2022-11-23T01:32:33.0094347Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0094563Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0094803Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0095081Z [2022-11-23 01:32:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0095318Z [2022-11-23 01:32:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0095608Z [2022-11-23 01:32:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0095988Z [2022-11-23 01:32:16,087] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0096263Z [2022-11-23 01:32:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0096502Z [2022-11-23 01:32:16,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0096759Z [2022-11-23 01:32:16,088] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0097012Z [2022-11-23 01:32:16,091] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0097208Z [2022-11-23 01:32:16,091] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0097353Z  __compiled_fn_970 <eval_with_key>.5950 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0097443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0097537Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0097722Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0097825Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0097831Z 
2022-11-23T01:32:33.0098165Z [2022-11-23 01:32:16,091] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0098267Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0098365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0098459Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0098554Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0098648Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0098758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0099289Z              12 RETURN_VALUE
2022-11-23T01:32:33.0099300Z 
2022-11-23T01:32:33.0099394Z  
2022-11-23T01:32:33.0099789Z [2022-11-23 01:32:16,091] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0099917Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_970)
2022-11-23T01:32:33.0100017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0100108Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0100192Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0100288Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0100383Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0100466Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0100561Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0100675Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0100780Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0100877Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0100962Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0101057Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0101142Z              26 RETURN_VALUE
2022-11-23T01:32:33.0101148Z 
2022-11-23T01:32:33.0101214Z  
2022-11-23T01:32:33.0101403Z [2022-11-23 01:32:16,092] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0101473Z  - 
2022-11-23T01:32:33.0101599Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0101669Z             {
2022-11-23T01:32:33.0101815Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0102009Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0102135Z                 'obj_weakref': None
2022-11-23T01:32:33.0102363Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0102572Z             }
2022-11-23T01:32:33.0102647Z             
2022-11-23T01:32:33.0102724Z  - 
2022-11-23T01:32:33.0102855Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0102930Z             {
2022-11-23T01:32:33.0103081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0103238Z                 'code': None,
2022-11-23T01:32:33.0103446Z                 'obj_weakref': <weakref at 0x7f1f25bb9170; to 'Tensor' at 0x7f2151f1a2a0>
2022-11-23T01:32:33.0103699Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0103770Z             }
2022-11-23T01:32:33.0103842Z             
2022-11-23T01:32:33.0103917Z  - 
2022-11-23T01:32:33.0104044Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0104114Z             {
2022-11-23T01:32:33.0104256Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0104371Z                 'code': None,
2022-11-23T01:32:33.0104588Z                 'obj_weakref': <weakref at 0x7f1f25f10d60; to 'Tensor' at 0x7f20682c6b60>
2022-11-23T01:32:33.0104842Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0104911Z             }
2022-11-23T01:32:33.0104978Z             
2022-11-23T01:32:33.0105059Z  - 
2022-11-23T01:32:33.0105189Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0105257Z             {
2022-11-23T01:32:33.0105396Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0105571Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0105700Z                 'obj_weakref': None
2022-11-23T01:32:33.0105930Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0105998Z             }
2022-11-23T01:32:33.0106060Z             
2022-11-23T01:32:33.0106136Z  - 
2022-11-23T01:32:33.0106262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0106330Z             {
2022-11-23T01:32:33.0106475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0106694Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0106817Z                 'obj_weakref': None
2022-11-23T01:32:33.0107039Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0107107Z             }
2022-11-23T01:32:33.0107176Z             
2022-11-23T01:32:33.0107440Z [2022-11-23 01:32:16,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 952
2022-11-23T01:32:33.0107808Z [2022-11-23 01:32:17,630] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnus2n5s7sogrlpdcvbb4dmift2a2pjhv3iao5t5asm6durkjh3t.py
2022-11-23T01:32:33.0108076Z [2022-11-23 01:32:17,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 952
2022-11-23T01:32:33.0108082Z 
2022-11-23T01:32:33.0108184Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0108258Z import torch
2022-11-23T01:32:33.0108326Z import random
2022-11-23T01:32:33.0108449Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0108574Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0108582Z 
2022-11-23T01:32:33.0108665Z aten = torch.ops.aten
2022-11-23T01:32:33.0108805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0108903Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0108908Z 
2022-11-23T01:32:33.0108982Z import triton
2022-11-23T01:32:33.0109075Z import triton.language as tl
2022-11-23T01:32:33.0109196Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0109338Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0109344Z 
2022-11-23T01:32:33.0109349Z 
2022-11-23T01:32:33.0109488Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0109762Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0109890Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0110006Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:33.0110114Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:33.0110208Z {
2022-11-23T01:32:33.0110429Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0110515Z     {
2022-11-23T01:32:33.0110613Z         #pragma omp for  collapse(2)
2022-11-23T01:32:33.0110702Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0110769Z         {
2022-11-23T01:32:33.0110860Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:33.0110922Z             {
2022-11-23T01:32:33.0110991Z                 {
2022-11-23T01:32:33.0111062Z                     {
2022-11-23T01:32:33.0111176Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:33.0111285Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:33.0111406Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:33.0111507Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:33.0111604Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:33.0111675Z                     }
2022-11-23T01:32:33.0111746Z                 }
2022-11-23T01:32:33.0111813Z             }
2022-11-23T01:32:33.0111880Z         }
2022-11-23T01:32:33.0111946Z     }
2022-11-23T01:32:33.0112011Z }
2022-11-23T01:32:33.0112098Z ''')
2022-11-23T01:32:33.0112103Z 
2022-11-23T01:32:33.0112108Z 
2022-11-23T01:32:33.0116806Z async_compile.wait(globals())
2022-11-23T01:32:33.0116897Z del async_compile
2022-11-23T01:32:33.0116902Z 
2022-11-23T01:32:33.0116983Z def call(args):
2022-11-23T01:32:33.0117065Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0117143Z     args.clear()
2022-11-23T01:32:33.0117381Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:33.0117559Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0117626Z     del arg0_1
2022-11-23T01:32:33.0117699Z     del arg1_1
2022-11-23T01:32:33.0117774Z     return (buf0, )
2022-11-23T01:32:33.0117780Z 
2022-11-23T01:32:33.0117784Z 
2022-11-23T01:32:33.0117868Z if __name__ == "__main__":
2022-11-23T01:32:33.0117989Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0118120Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0118324Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0118516Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:33.0118638Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0118644Z 
2022-11-23T01:32:33.0118714Z ok (1.550s)
2022-11-23T01:32:33.0119053Z   test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0119365Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0119585Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0119841Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0120119Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0120434Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0120775Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0121169Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0121545Z [2022-11-23 01:32:17,635] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0121697Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0121796Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0121876Z               4 BINARY_ADD
2022-11-23T01:32:33.0121971Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0122052Z               8 RETURN_VALUE
2022-11-23T01:32:33.0122117Z  
2022-11-23T01:32:33.0122122Z 
2022-11-23T01:32:33.0122428Z [2022-11-23 01:32:17,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0122783Z [2022-11-23 01:32:17,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0123064Z [2022-11-23 01:32:17,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0123360Z [2022-11-23 01:32:17,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0123607Z [2022-11-23 01:32:17,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0123855Z [2022-11-23 01:32:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0124233Z [2022-11-23 01:32:17,639] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0124479Z [2022-11-23 01:32:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0124723Z [2022-11-23 01:32:17,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0124983Z [2022-11-23 01:32:17,640] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0125231Z [2022-11-23 01:32:17,642] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0125429Z [2022-11-23 01:32:17,642] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0125571Z  __compiled_fn_971 <eval_with_key>.5956 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0125665Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0125762Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0125946Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0126046Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0126052Z 
2022-11-23T01:32:33.0126385Z [2022-11-23 01:32:17,643] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0126479Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0126579Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0126673Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0126774Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0126866Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0126960Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0127043Z              12 RETURN_VALUE
2022-11-23T01:32:33.0127048Z 
2022-11-23T01:32:33.0127107Z  
2022-11-23T01:32:33.0127422Z [2022-11-23 01:32:17,643] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0127542Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_971)
2022-11-23T01:32:33.0127638Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0127789Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0127875Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0127969Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0128062Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0128137Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0128255Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0128369Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0128477Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0128573Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0128653Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0128747Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0128821Z              26 RETURN_VALUE
2022-11-23T01:32:33.0128826Z 
2022-11-23T01:32:33.0128893Z  
2022-11-23T01:32:33.0129082Z [2022-11-23 01:32:17,643] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0129157Z  - 
2022-11-23T01:32:33.0129285Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0129354Z             {
2022-11-23T01:32:33.0129500Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0129683Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0129812Z                 'obj_weakref': None
2022-11-23T01:32:33.0130040Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0130108Z             }
2022-11-23T01:32:33.0130177Z             
2022-11-23T01:32:33.0130252Z  - 
2022-11-23T01:32:33.0130380Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0130442Z             {
2022-11-23T01:32:33.0130588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0130700Z                 'code': None,
2022-11-23T01:32:33.0130908Z                 'obj_weakref': <weakref at 0x7f1f25b96200; to 'Tensor' at 0x7f2151f1a2f0>
2022-11-23T01:32:33.0131159Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0131228Z             }
2022-11-23T01:32:33.0131297Z             
2022-11-23T01:32:33.0131366Z  - 
2022-11-23T01:32:33.0131494Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0131565Z             {
2022-11-23T01:32:33.0131713Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0131826Z                 'code': None,
2022-11-23T01:32:33.0132038Z                 'obj_weakref': <weakref at 0x7f1f25b5ade0; to 'Tensor' at 0x7f1f25b0f5b0>
2022-11-23T01:32:33.0132289Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0132351Z             }
2022-11-23T01:32:33.0132419Z             
2022-11-23T01:32:33.0132495Z  - 
2022-11-23T01:32:33.0132630Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0132698Z             {
2022-11-23T01:32:33.0132838Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0133014Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0133132Z                 'obj_weakref': None
2022-11-23T01:32:33.0133363Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0133434Z             }
2022-11-23T01:32:33.0133502Z             
2022-11-23T01:32:33.0133577Z  - 
2022-11-23T01:32:33.0133702Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0133771Z             {
2022-11-23T01:32:33.0133905Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0134126Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0134248Z                 'obj_weakref': None
2022-11-23T01:32:33.0134471Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0134539Z             }
2022-11-23T01:32:33.0134607Z             
2022-11-23T01:32:33.0134908Z [2022-11-23 01:32:17,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 953
2022-11-23T01:32:33.0135283Z [2022-11-23 01:32:19,187] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zj/czjrxioxusn5nh55pqxrlwavncaszkucdf5ptxztvdwwlmydbroq.py
2022-11-23T01:32:33.0135567Z [2022-11-23 01:32:19,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 953
2022-11-23T01:32:33.0135573Z 
2022-11-23T01:32:33.0135678Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0135754Z import torch
2022-11-23T01:32:33.0135828Z import random
2022-11-23T01:32:33.0135950Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0136078Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0136084Z 
2022-11-23T01:32:33.0136167Z aten = torch.ops.aten
2022-11-23T01:32:33.0136307Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0136399Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0136406Z 
2022-11-23T01:32:33.0136480Z import triton
2022-11-23T01:32:33.0136573Z import triton.language as tl
2022-11-23T01:32:33.0136702Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0136845Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0136853Z 
2022-11-23T01:32:33.0136858Z 
2022-11-23T01:32:33.0136995Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0137208Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0137339Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0137441Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:33.0137547Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0137612Z {
2022-11-23T01:32:33.0137716Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0137782Z     {
2022-11-23T01:32:33.0137878Z         #pragma omp for  collapse(2)
2022-11-23T01:32:33.0137967Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0138029Z         {
2022-11-23T01:32:33.0138122Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:33.0138193Z             {
2022-11-23T01:32:33.0138263Z                 {
2022-11-23T01:32:33.0138334Z                     {
2022-11-23T01:32:33.0138449Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:33.0138544Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:33.0138662Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:33.0138762Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:33.0139085Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:33.0139160Z                     }
2022-11-23T01:32:33.0139232Z                 }
2022-11-23T01:32:33.0139300Z             }
2022-11-23T01:32:33.0139361Z         }
2022-11-23T01:32:33.0139427Z     }
2022-11-23T01:32:33.0139492Z }
2022-11-23T01:32:33.0139580Z ''')
2022-11-23T01:32:33.0139586Z 
2022-11-23T01:32:33.0139593Z 
2022-11-23T01:32:33.0139689Z async_compile.wait(globals())
2022-11-23T01:32:33.0139765Z del async_compile
2022-11-23T01:32:33.0139770Z 
2022-11-23T01:32:33.0139847Z def call(args):
2022-11-23T01:32:33.0139921Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0140001Z     args.clear()
2022-11-23T01:32:33.0140204Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0140375Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0140449Z     del arg0_1
2022-11-23T01:32:33.0140520Z     del arg1_1
2022-11-23T01:32:33.0140597Z     return (buf0, )
2022-11-23T01:32:33.0140602Z 
2022-11-23T01:32:33.0140606Z 
2022-11-23T01:32:33.0140687Z if __name__ == "__main__":
2022-11-23T01:32:33.0140800Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0140928Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0141189Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0141387Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:33.0141509Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0141515Z 
2022-11-23T01:32:33.0141617Z ok (1.557s)
2022-11-23T01:32:33.0141961Z   test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0142276Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0142495Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0142742Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0143022Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0143340Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0143682Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0144002Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0144377Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0144474Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0144570Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0144652Z               4 BINARY_ADD
2022-11-23T01:32:33.0144740Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0144821Z               8 RETURN_VALUE
2022-11-23T01:32:33.0144888Z  
2022-11-23T01:32:33.0144893Z 
2022-11-23T01:32:33.0145205Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0145425Z [2022-11-23 01:32:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0145663Z [2022-11-23 01:32:19,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0145936Z [2022-11-23 01:32:19,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0146179Z [2022-11-23 01:32:19,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0146419Z [2022-11-23 01:32:19,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0146795Z [2022-11-23 01:32:19,195] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0147045Z [2022-11-23 01:32:19,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0147280Z [2022-11-23 01:32:19,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0147535Z [2022-11-23 01:32:19,195] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0147783Z [2022-11-23 01:32:19,199] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0147976Z [2022-11-23 01:32:19,199] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0148148Z  __compiled_fn_972 <eval_with_key>.5962 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0148245Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0148332Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0148514Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0148615Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0148642Z 
2022-11-23T01:32:33.0148969Z [2022-11-23 01:32:19,199] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0149070Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0149168Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0149262Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0149362Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0149448Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0149542Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0149625Z              12 RETURN_VALUE
2022-11-23T01:32:33.0149630Z 
2022-11-23T01:32:33.0149697Z  
2022-11-23T01:32:33.0150018Z [2022-11-23 01:32:19,199] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0150139Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_972)
2022-11-23T01:32:33.0150235Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0150449Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0150538Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0150645Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0150752Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0150847Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0150950Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0151061Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0151169Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0151261Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0151342Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0151434Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0151513Z              26 RETURN_VALUE
2022-11-23T01:32:33.0151522Z 
2022-11-23T01:32:33.0151587Z  
2022-11-23T01:32:33.0151774Z [2022-11-23 01:32:19,200] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0151849Z  - 
2022-11-23T01:32:33.0151966Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0152033Z             {
2022-11-23T01:32:33.0152175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0152365Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0152488Z                 'obj_weakref': None
2022-11-23T01:32:33.0152711Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0152779Z             }
2022-11-23T01:32:33.0152842Z             
2022-11-23T01:32:33.0152917Z  - 
2022-11-23T01:32:33.0153045Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0153112Z             {
2022-11-23T01:32:33.0153257Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0153367Z                 'code': None,
2022-11-23T01:32:33.0153583Z                 'obj_weakref': <weakref at 0x7f20606cfba0; to 'Tensor' at 0x7f1f25f13ec0>
2022-11-23T01:32:33.0153824Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0153894Z             }
2022-11-23T01:32:33.0153961Z             
2022-11-23T01:32:33.0154035Z  - 
2022-11-23T01:32:33.0154160Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0154227Z             {
2022-11-23T01:32:33.0154373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0154477Z                 'code': None,
2022-11-23T01:32:33.0154719Z                 'obj_weakref': <weakref at 0x7f1fd9bccae0; to 'Tensor' at 0x7f1f25f124d0>
2022-11-23T01:32:33.0154970Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0155040Z             }
2022-11-23T01:32:33.0155109Z             
2022-11-23T01:32:33.0155183Z  - 
2022-11-23T01:32:33.0155342Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0155403Z             {
2022-11-23T01:32:33.0155542Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0155717Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0155840Z                 'obj_weakref': None
2022-11-23T01:32:33.0156069Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0156136Z             }
2022-11-23T01:32:33.0156204Z             
2022-11-23T01:32:33.0156272Z  - 
2022-11-23T01:32:33.0156397Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0156465Z             {
2022-11-23T01:32:33.0156608Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0156826Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0156947Z                 'obj_weakref': None
2022-11-23T01:32:33.0157165Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0157228Z             }
2022-11-23T01:32:33.0157295Z             
2022-11-23T01:32:33.0157560Z [2022-11-23 01:32:19,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 954
2022-11-23T01:32:33.0157924Z [2022-11-23 01:32:20,735] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qk/cqk2pte6s2pk5o3kbinoxbeuef227pziev6tq5zkbsbkwjn2agom.py
2022-11-23T01:32:33.0158194Z [2022-11-23 01:32:20,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 954
2022-11-23T01:32:33.0158199Z 
2022-11-23T01:32:33.0158297Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0158378Z import torch
2022-11-23T01:32:33.0158452Z import random
2022-11-23T01:32:33.0158567Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0158696Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0158701Z 
2022-11-23T01:32:33.0158787Z aten = torch.ops.aten
2022-11-23T01:32:33.0158926Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0159024Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0159029Z 
2022-11-23T01:32:33.0159102Z import triton
2022-11-23T01:32:33.0159194Z import triton.language as tl
2022-11-23T01:32:33.0159320Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0159457Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0159462Z 
2022-11-23T01:32:33.0159473Z 
2022-11-23T01:32:33.0159606Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0159819Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0159948Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0160062Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0160167Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0160236Z {
2022-11-23T01:32:33.0160338Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0160397Z     {
2022-11-23T01:32:33.0160492Z         #pragma omp for  collapse(2)
2022-11-23T01:32:33.0160581Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:33.0160647Z         {
2022-11-23T01:32:33.0160739Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:33.0160806Z             {
2022-11-23T01:32:33.0160868Z                 {
2022-11-23T01:32:33.0160939Z                     {
2022-11-23T01:32:33.0161051Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:33.0161163Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:33.0161262Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0161406Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:33.0161478Z                     }
2022-11-23T01:32:33.0161540Z                 }
2022-11-23T01:32:33.0161607Z             }
2022-11-23T01:32:33.0161675Z         }
2022-11-23T01:32:33.0161760Z     }
2022-11-23T01:32:33.0161825Z }
2022-11-23T01:32:33.0161911Z ''')
2022-11-23T01:32:33.0161916Z 
2022-11-23T01:32:33.0161921Z 
2022-11-23T01:32:33.0162015Z async_compile.wait(globals())
2022-11-23T01:32:33.0162086Z del async_compile
2022-11-23T01:32:33.0162097Z 
2022-11-23T01:32:33.0162165Z def call(args):
2022-11-23T01:32:33.0162245Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0162321Z     args.clear()
2022-11-23T01:32:33.0162527Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0162697Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0162768Z     del arg0_1
2022-11-23T01:32:33.0162845Z     del arg1_1
2022-11-23T01:32:33.0162914Z     return (buf0, )
2022-11-23T01:32:33.0162919Z 
2022-11-23T01:32:33.0162923Z 
2022-11-23T01:32:33.0163004Z if __name__ == "__main__":
2022-11-23T01:32:33.0163125Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0163258Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0163462Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0163660Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0163780Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0163785Z 
2022-11-23T01:32:33.0163859Z ok (1.548s)
2022-11-23T01:32:33.0164203Z   test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0164524Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0164746Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0165001Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0165283Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0165600Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0165938Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0166259Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0166633Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0166730Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0166823Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0166901Z               4 BINARY_ADD
2022-11-23T01:32:33.0166995Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0167076Z               8 RETURN_VALUE
2022-11-23T01:32:33.0167141Z  
2022-11-23T01:32:33.0167146Z 
2022-11-23T01:32:33.0167459Z [2022-11-23 01:32:20,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0167671Z [2022-11-23 01:32:20,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0167943Z [2022-11-23 01:32:20,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0168210Z [2022-11-23 01:32:20,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0168456Z [2022-11-23 01:32:20,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0168732Z [2022-11-23 01:32:20,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0169114Z [2022-11-23 01:32:20,743] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0169358Z [2022-11-23 01:32:20,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0169593Z [2022-11-23 01:32:20,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0169852Z [2022-11-23 01:32:20,744] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0170102Z [2022-11-23 01:32:20,747] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0170297Z [2022-11-23 01:32:20,747] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0170436Z  __compiled_fn_973 <eval_with_key>.5968 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0170531Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0170622Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0170805Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0170905Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0170910Z 
2022-11-23T01:32:33.0171234Z [2022-11-23 01:32:20,747] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0171334Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0171433Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0171521Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0171623Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0171716Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0171812Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0171892Z              12 RETURN_VALUE
2022-11-23T01:32:33.0171897Z 
2022-11-23T01:32:33.0171961Z  
2022-11-23T01:32:33.0172277Z [2022-11-23 01:32:20,747] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0172394Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_973)
2022-11-23T01:32:33.0172484Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0172580Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0172662Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0172758Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0172851Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0172931Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0173024Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0173130Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0173243Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0173339Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0173419Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0173513Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0173594Z              26 RETURN_VALUE
2022-11-23T01:32:33.0173599Z 
2022-11-23T01:32:33.0173663Z  
2022-11-23T01:32:33.0173843Z [2022-11-23 01:32:20,748] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0173918Z  - 
2022-11-23T01:32:33.0174042Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0174110Z             {
2022-11-23T01:32:33.0174282Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0174473Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0174597Z                 'obj_weakref': None
2022-11-23T01:32:33.0174815Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0174904Z             }
2022-11-23T01:32:33.0174972Z             
2022-11-23T01:32:33.0175048Z  - 
2022-11-23T01:32:33.0175177Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0175246Z             {
2022-11-23T01:32:33.0175393Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0175498Z                 'code': None,
2022-11-23T01:32:33.0175711Z                 'obj_weakref': <weakref at 0x7f2151f19d00; to 'Tensor' at 0x7f1fd97ec900>
2022-11-23T01:32:33.0175959Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0176027Z             }
2022-11-23T01:32:33.0176098Z             
2022-11-23T01:32:33.0176174Z  - 
2022-11-23T01:32:33.0176301Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0176362Z             {
2022-11-23T01:32:33.0176506Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0176620Z                 'code': None,
2022-11-23T01:32:33.0176831Z                 'obj_weakref': <weakref at 0x7f1f25c22e80; to 'Tensor' at 0x7f2151f03a10>
2022-11-23T01:32:33.0177079Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0177147Z             }
2022-11-23T01:32:33.0177214Z             
2022-11-23T01:32:33.0177283Z  - 
2022-11-23T01:32:33.0177419Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0177486Z             {
2022-11-23T01:32:33.0177626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0177801Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0177926Z                 'obj_weakref': None
2022-11-23T01:32:33.0178156Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0178219Z             }
2022-11-23T01:32:33.0178286Z             
2022-11-23T01:32:33.0178364Z  - 
2022-11-23T01:32:33.0178494Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0178563Z             {
2022-11-23T01:32:33.0178705Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0179148Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0179267Z                 'obj_weakref': None
2022-11-23T01:32:33.0179495Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0179563Z             }
2022-11-23T01:32:33.0179631Z             
2022-11-23T01:32:33.0179897Z [2022-11-23 01:32:20,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 955
2022-11-23T01:32:33.0180270Z [2022-11-23 01:32:20,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwipgb73akbyyg27r5qfpgp6hj23gfzkvgaajkzeze7gvjg5spsl.py
2022-11-23T01:32:33.0180539Z [2022-11-23 01:32:20,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 955
2022-11-23T01:32:33.0180549Z 
2022-11-23T01:32:33.0180649Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0180716Z import torch
2022-11-23T01:32:33.0180791Z import random
2022-11-23T01:32:33.0180915Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0181043Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0181048Z 
2022-11-23T01:32:33.0181131Z aten = torch.ops.aten
2022-11-23T01:32:33.0181271Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0181367Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0181372Z 
2022-11-23T01:32:33.0181448Z import triton
2022-11-23T01:32:33.0181534Z import triton.language as tl
2022-11-23T01:32:33.0181706Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0181852Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0181858Z 
2022-11-23T01:32:33.0181862Z 
2022-11-23T01:32:33.0182003Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:33.0182254Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:33.0182381Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:33.0182492Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:33.0182597Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:33.0182657Z {
2022-11-23T01:32:33.0182760Z     #pragma omp parallel num_threads(8)
2022-11-23T01:32:33.0182826Z     {
2022-11-23T01:32:33.0182907Z         #pragma omp for 
2022-11-23T01:32:33.0182995Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:33.0183062Z         {
2022-11-23T01:32:33.0183233Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:32:33.0183368Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:32:33.0183459Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0183553Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:32:33.0183624Z         }
2022-11-23T01:32:33.0183724Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:32:33.0183811Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:33.0183878Z         {
2022-11-23T01:32:33.0183961Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:33.0184050Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:33.0184135Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:33.0184221Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:33.0184288Z         }
2022-11-23T01:32:33.0184353Z     }
2022-11-23T01:32:33.0184411Z }
2022-11-23T01:32:33.0184495Z ''')
2022-11-23T01:32:33.0184501Z 
2022-11-23T01:32:33.0184505Z 
2022-11-23T01:32:33.0184599Z async_compile.wait(globals())
2022-11-23T01:32:33.0184681Z del async_compile
2022-11-23T01:32:33.0184686Z 
2022-11-23T01:32:33.0184761Z def call(args):
2022-11-23T01:32:33.0184840Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0184915Z     args.clear()
2022-11-23T01:32:33.0185119Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0185285Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:33.0185361Z     del arg0_1
2022-11-23T01:32:33.0185431Z     del arg1_1
2022-11-23T01:32:33.0185506Z     return (buf0, )
2022-11-23T01:32:33.0185511Z 
2022-11-23T01:32:33.0185516Z 
2022-11-23T01:32:33.0185594Z if __name__ == "__main__":
2022-11-23T01:32:33.0185714Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0185843Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0186046Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0186239Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:33.0186361Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0186367Z 
2022-11-23T01:32:33.0186437Z ok (0.024s)
2022-11-23T01:32:33.0186787Z   test_cuda_broadcast1_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0187105Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0187324Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0187577Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0187850Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0188199Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0188535Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0188873Z [2022-11-23 01:32:20,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0189248Z [2022-11-23 01:32:20,765] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0189347Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0189444Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0189522Z               4 BINARY_ADD
2022-11-23T01:32:33.0189617Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0189698Z               8 RETURN_VALUE
2022-11-23T01:32:33.0189758Z  
2022-11-23T01:32:33.0189770Z 
2022-11-23T01:32:33.0190073Z [2022-11-23 01:32:20,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0190369Z [2022-11-23 01:32:20,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0190640Z [2022-11-23 01:32:20,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0190912Z [2022-11-23 01:32:20,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0191153Z [2022-11-23 01:32:20,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0191397Z [2022-11-23 01:32:20,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0191775Z [2022-11-23 01:32:20,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0192019Z [2022-11-23 01:32:20,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0192259Z [2022-11-23 01:32:20,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0192507Z [2022-11-23 01:32:20,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0192759Z [2022-11-23 01:32:20,769] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0192952Z [2022-11-23 01:32:20,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0193092Z  __compiled_fn_974 <eval_with_key>.5974 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0193188Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0193281Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0193466Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0193566Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0193571Z 
2022-11-23T01:32:33.0193897Z [2022-11-23 01:32:20,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0193999Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0194097Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0194190Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0194290Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0194381Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0194477Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0194557Z              12 RETURN_VALUE
2022-11-23T01:32:33.0194562Z 
2022-11-23T01:32:33.0194621Z  
2022-11-23T01:32:33.0194973Z [2022-11-23 01:32:20,770] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0195094Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_974)
2022-11-23T01:32:33.0195212Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0195314Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0195395Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0195490Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0195577Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0195657Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0195750Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0195861Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0195969Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0196064Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0196147Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0196240Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0196313Z              26 RETURN_VALUE
2022-11-23T01:32:33.0196318Z 
2022-11-23T01:32:33.0196386Z  
2022-11-23T01:32:33.0196576Z [2022-11-23 01:32:20,770] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0196652Z  - 
2022-11-23T01:32:33.0196776Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0196844Z             {
2022-11-23T01:32:33.0196988Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0197175Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0197302Z                 'obj_weakref': None
2022-11-23T01:32:33.0197528Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0197597Z             }
2022-11-23T01:32:33.0197665Z             
2022-11-23T01:32:33.0197741Z  - 
2022-11-23T01:32:33.0197871Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0197933Z             {
2022-11-23T01:32:33.0198079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0198189Z                 'code': None,
2022-11-23T01:32:33.0198407Z                 'obj_weakref': <weakref at 0x7f1f25bb92b0; to 'Tensor' at 0x7f1fd819b970>
2022-11-23T01:32:33.0198661Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0198730Z             }
2022-11-23T01:32:33.0198799Z             
2022-11-23T01:32:33.0198868Z  - 
2022-11-23T01:32:33.0198995Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0199065Z             {
2022-11-23T01:32:33.0199213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0199326Z                 'code': None,
2022-11-23T01:32:33.0199541Z                 'obj_weakref': <weakref at 0x7f1f25bba930; to 'Tensor' at 0x7f1ffad4bbf0>
2022-11-23T01:32:33.0199797Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0199859Z             }
2022-11-23T01:32:33.0199926Z             
2022-11-23T01:32:33.0200003Z  - 
2022-11-23T01:32:33.0200138Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0200208Z             {
2022-11-23T01:32:33.0200348Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0200523Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0200640Z                 'obj_weakref': None
2022-11-23T01:32:33.0200872Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0200941Z             }
2022-11-23T01:32:33.0201008Z             
2022-11-23T01:32:33.0201082Z  - 
2022-11-23T01:32:33.0201209Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0201277Z             {
2022-11-23T01:32:33.0201411Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0201663Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0201788Z                 'obj_weakref': None
2022-11-23T01:32:33.0202013Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0202103Z             }
2022-11-23T01:32:33.0202170Z             
2022-11-23T01:32:33.0202437Z [2022-11-23 01:32:20,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 956
2022-11-23T01:32:33.0202683Z [2022-11-23 01:32:20,777] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0203056Z [2022-11-23 01:32:20,783] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/no/cno7llnllcln6aghbczrzqtahgbakyxt2mjxye67zunxtuehw4ql.py
2022-11-23T01:32:33.0203325Z [2022-11-23 01:32:20,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 956
2022-11-23T01:32:33.0203331Z 
2022-11-23T01:32:33.0203434Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0203508Z import torch
2022-11-23T01:32:33.0203583Z import random
2022-11-23T01:32:33.0203704Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0203830Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0203838Z 
2022-11-23T01:32:33.0203915Z aten = torch.ops.aten
2022-11-23T01:32:33.0204055Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0204152Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0204157Z 
2022-11-23T01:32:33.0204231Z import triton
2022-11-23T01:32:33.0204323Z import triton.language as tl
2022-11-23T01:32:33.0204449Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0204592Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0204598Z 
2022-11-23T01:32:33.0204602Z 
2022-11-23T01:32:33.0204756Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0204824Z import triton
2022-11-23T01:32:33.0204920Z import triton.language as tl
2022-11-23T01:32:33.0205034Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0205138Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0205275Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0205405Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0205410Z 
2022-11-23T01:32:33.0205808Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0205884Z @triton.jit
2022-11-23T01:32:33.0206023Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0206097Z     xnumel = 10
2022-11-23T01:32:33.0206195Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0206327Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0206413Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0206484Z     x0 = xindex
2022-11-23T01:32:33.0206582Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0206673Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0206751Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0206892Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0206977Z ''')
2022-11-23T01:32:33.0206982Z 
2022-11-23T01:32:33.0206987Z 
2022-11-23T01:32:33.0207079Z async_compile.wait(globals())
2022-11-23T01:32:33.0207155Z del async_compile
2022-11-23T01:32:33.0207161Z 
2022-11-23T01:32:33.0207235Z def call(args):
2022-11-23T01:32:33.0207313Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0207382Z     args.clear()
2022-11-23T01:32:33.0207583Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0207673Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0207818Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0207930Z     del arg0_1
2022-11-23T01:32:33.0208004Z     del arg1_1
2022-11-23T01:32:33.0208079Z     return (buf0, )
2022-11-23T01:32:33.0208084Z 
2022-11-23T01:32:33.0208089Z 
2022-11-23T01:32:33.0208163Z if __name__ == "__main__":
2022-11-23T01:32:33.0208282Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0208435Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0208638Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0208838Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0208958Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0208963Z 
2022-11-23T01:32:33.0209035Z ok (0.023s)
2022-11-23T01:32:33.0209393Z   test_cuda_broadcast1_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0209711Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0209935Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0210191Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0210475Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0210798Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0211144Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0211473Z [2022-11-23 01:32:20,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0211859Z [2022-11-23 01:32:20,788] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0211960Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0212058Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0212131Z               4 BINARY_ADD
2022-11-23T01:32:33.0212226Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0212305Z               8 RETURN_VALUE
2022-11-23T01:32:33.0212371Z  
2022-11-23T01:32:33.0212375Z 
2022-11-23T01:32:33.0212693Z [2022-11-23 01:32:20,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0212935Z [2022-11-23 01:32:20,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0213204Z [2022-11-23 01:32:20,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0213478Z [2022-11-23 01:32:20,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0213721Z [2022-11-23 01:32:20,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0213971Z [2022-11-23 01:32:20,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0214348Z [2022-11-23 01:32:20,789] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0214598Z [2022-11-23 01:32:20,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0214869Z [2022-11-23 01:32:20,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0215131Z [2022-11-23 01:32:20,790] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0215382Z [2022-11-23 01:32:20,792] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0215597Z [2022-11-23 01:32:20,792] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0215740Z  __compiled_fn_975 <eval_with_key>.5980 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0215834Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0215920Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0216104Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0216204Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0216209Z 
2022-11-23T01:32:33.0216540Z [2022-11-23 01:32:20,793] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0216647Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0216748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0216841Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0216934Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0217029Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0217123Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0217203Z              12 RETURN_VALUE
2022-11-23T01:32:33.0217208Z 
2022-11-23T01:32:33.0217273Z  
2022-11-23T01:32:33.0217599Z [2022-11-23 01:32:20,793] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0217718Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_975)
2022-11-23T01:32:33.0217815Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0217905Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0217989Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0218083Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0218175Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0218256Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0218349Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0218462Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0218564Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0218658Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0218738Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0219038Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0219120Z              26 RETURN_VALUE
2022-11-23T01:32:33.0219126Z 
2022-11-23T01:32:33.0219190Z  
2022-11-23T01:32:33.0219383Z [2022-11-23 01:32:20,793] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0219451Z  - 
2022-11-23T01:32:33.0219579Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0219650Z             {
2022-11-23T01:32:33.0219796Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0219989Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0220112Z                 'obj_weakref': None
2022-11-23T01:32:33.0220341Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0220409Z             }
2022-11-23T01:32:33.0220471Z             
2022-11-23T01:32:33.0220546Z  - 
2022-11-23T01:32:33.0220674Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0220742Z             {
2022-11-23T01:32:33.0220890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0221002Z                 'code': None,
2022-11-23T01:32:33.0221213Z                 'obj_weakref': <weakref at 0x7f1f25e9c5e0; to 'Tensor' at 0x7f1fd819b970>
2022-11-23T01:32:33.0221461Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0221608Z             }
2022-11-23T01:32:33.0221697Z             
2022-11-23T01:32:33.0221773Z  - 
2022-11-23T01:32:33.0221901Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0221968Z             {
2022-11-23T01:32:33.0222110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0222250Z                 'code': None,
2022-11-23T01:32:33.0222463Z                 'obj_weakref': <weakref at 0x7f1f25969d00; to 'Tensor' at 0x7f1f2599ea70>
2022-11-23T01:32:33.0222719Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0222787Z             }
2022-11-23T01:32:33.0222854Z             
2022-11-23T01:32:33.0222929Z  - 
2022-11-23T01:32:33.0223059Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0223128Z             {
2022-11-23T01:32:33.0223270Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0223447Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0223570Z                 'obj_weakref': None
2022-11-23T01:32:33.0223802Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0223870Z             }
2022-11-23T01:32:33.0223931Z             
2022-11-23T01:32:33.0224008Z  - 
2022-11-23T01:32:33.0224134Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0224201Z             {
2022-11-23T01:32:33.0224342Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0224562Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0224685Z                 'obj_weakref': None
2022-11-23T01:32:33.0224907Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0224970Z             }
2022-11-23T01:32:33.0225037Z             
2022-11-23T01:32:33.0225311Z [2022-11-23 01:32:20,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 957
2022-11-23T01:32:33.0225564Z [2022-11-23 01:32:20,802] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0225925Z [2022-11-23 01:32:20,874] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkana4nrmmhki6c5lya5emhp2i4x6uzdbd75oufq7w6d5rpb5f3.py
2022-11-23T01:32:33.0226194Z [2022-11-23 01:32:20,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 957
2022-11-23T01:32:33.0226199Z 
2022-11-23T01:32:33.0226299Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0226373Z import torch
2022-11-23T01:32:33.0226441Z import random
2022-11-23T01:32:33.0226561Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0226688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0226693Z 
2022-11-23T01:32:33.0226775Z aten = torch.ops.aten
2022-11-23T01:32:33.0226914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0227015Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0227020Z 
2022-11-23T01:32:33.0227093Z import triton
2022-11-23T01:32:33.0227179Z import triton.language as tl
2022-11-23T01:32:33.0227307Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0227454Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0227459Z 
2022-11-23T01:32:33.0227464Z 
2022-11-23T01:32:33.0227619Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0227693Z import triton
2022-11-23T01:32:33.0227784Z import triton.language as tl
2022-11-23T01:32:33.0227899Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0228004Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0228134Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0228262Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0228267Z 
2022-11-23T01:32:33.0228709Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0228785Z @triton.jit
2022-11-23T01:32:33.0228937Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0229039Z     xnumel = 100
2022-11-23T01:32:33.0229136Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0229271Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0229348Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0229424Z     x0 = xindex % 10
2022-11-23T01:32:33.0229505Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0229577Z     x2 = xindex
2022-11-23T01:32:33.0229675Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0229773Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.0229851Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0229983Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0230076Z ''')
2022-11-23T01:32:33.0230082Z 
2022-11-23T01:32:33.0230087Z 
2022-11-23T01:32:33.0230179Z async_compile.wait(globals())
2022-11-23T01:32:33.0230334Z del async_compile
2022-11-23T01:32:33.0230340Z 
2022-11-23T01:32:33.0230430Z def call(args):
2022-11-23T01:32:33.0230526Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0230615Z     args.clear()
2022-11-23T01:32:33.0230836Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0230931Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0231075Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0231146Z     del arg0_1
2022-11-23T01:32:33.0231217Z     del arg1_1
2022-11-23T01:32:33.0231292Z     return (buf0, )
2022-11-23T01:32:33.0231297Z 
2022-11-23T01:32:33.0231302Z 
2022-11-23T01:32:33.0231381Z if __name__ == "__main__":
2022-11-23T01:32:33.0231498Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0231623Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0231821Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0232029Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0232153Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0232158Z 
2022-11-23T01:32:33.0232228Z ok (0.091s)
2022-11-23T01:32:33.0232577Z   test_cuda_broadcast1_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0232941Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0233161Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0233417Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0233687Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0234002Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0234350Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0234672Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0235052Z [2022-11-23 01:32:20,878] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0235182Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0235281Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0235358Z               4 BINARY_ADD
2022-11-23T01:32:33.0235453Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0235527Z               8 RETURN_VALUE
2022-11-23T01:32:33.0235615Z  
2022-11-23T01:32:33.0235620Z 
2022-11-23T01:32:33.0235937Z [2022-11-23 01:32:20,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0236153Z [2022-11-23 01:32:20,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0236395Z [2022-11-23 01:32:20,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0236668Z [2022-11-23 01:32:20,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0236916Z [2022-11-23 01:32:20,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0237165Z [2022-11-23 01:32:20,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0237551Z [2022-11-23 01:32:20,880] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0237798Z [2022-11-23 01:32:20,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0238037Z [2022-11-23 01:32:20,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0238295Z [2022-11-23 01:32:20,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0238547Z [2022-11-23 01:32:20,883] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0238743Z [2022-11-23 01:32:20,883] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0238885Z  __compiled_fn_976 <eval_with_key>.5986 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0238979Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0239071Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0239248Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0239349Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0239354Z 
2022-11-23T01:32:33.0239683Z [2022-11-23 01:32:20,884] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0239786Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0239883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0239975Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0240074Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0240167Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0240255Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0240335Z              12 RETURN_VALUE
2022-11-23T01:32:33.0240340Z 
2022-11-23T01:32:33.0240406Z  
2022-11-23T01:32:33.0240731Z [2022-11-23 01:32:20,884] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0240853Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_976)
2022-11-23T01:32:33.0240949Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0241044Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0241125Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0241213Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0241307Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0241387Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0241480Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0241620Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0241730Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0241825Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0241899Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0242019Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0242100Z              26 RETURN_VALUE
2022-11-23T01:32:33.0242105Z 
2022-11-23T01:32:33.0242170Z  
2022-11-23T01:32:33.0242360Z [2022-11-23 01:32:20,884] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0242435Z  - 
2022-11-23T01:32:33.0242558Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0242621Z             {
2022-11-23T01:32:33.0242767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0242962Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0243089Z                 'obj_weakref': None
2022-11-23T01:32:33.0243317Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0243386Z             }
2022-11-23T01:32:33.0243453Z             
2022-11-23T01:32:33.0243522Z  - 
2022-11-23T01:32:33.0243651Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0243719Z             {
2022-11-23T01:32:33.0243869Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0243982Z                 'code': None,
2022-11-23T01:32:33.0244200Z                 'obj_weakref': <weakref at 0x7f1f259e8ae0; to 'Tensor' at 0x7f1ffad4f600>
2022-11-23T01:32:33.0244452Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0244514Z             }
2022-11-23T01:32:33.0244582Z             
2022-11-23T01:32:33.0244657Z  - 
2022-11-23T01:32:33.0244783Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0244851Z             {
2022-11-23T01:32:33.0244998Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0245113Z                 'code': None,
2022-11-23T01:32:33.0245319Z                 'obj_weakref': <weakref at 0x7f1f25f10040; to 'Tensor' at 0x7f1f25eab8d0>
2022-11-23T01:32:33.0245574Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0245645Z             }
2022-11-23T01:32:33.0245712Z             
2022-11-23T01:32:33.0245787Z  - 
2022-11-23T01:32:33.0245922Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0245990Z             {
2022-11-23T01:32:33.0246123Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0246298Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0246420Z                 'obj_weakref': None
2022-11-23T01:32:33.0246650Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0246718Z             }
2022-11-23T01:32:33.0246785Z             
2022-11-23T01:32:33.0246859Z  - 
2022-11-23T01:32:33.0246981Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0247051Z             {
2022-11-23T01:32:33.0247194Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0247416Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0247543Z                 'obj_weakref': None
2022-11-23T01:32:33.0247766Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0247835Z             }
2022-11-23T01:32:33.0247896Z             
2022-11-23T01:32:33.0248163Z [2022-11-23 01:32:20,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 958
2022-11-23T01:32:33.0248414Z [2022-11-23 01:32:20,892] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0248770Z [2022-11-23 01:32:20,953] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chi6occo2uwqzi6k35rxr7cubr7g2bds6xykc4z54aj4n66wnadk.py
2022-11-23T01:32:33.0249066Z [2022-11-23 01:32:20,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 958
2022-11-23T01:32:33.0249072Z 
2022-11-23T01:32:33.0249173Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0249247Z import torch
2022-11-23T01:32:33.0249343Z import random
2022-11-23T01:32:33.0249458Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0249587Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0249592Z 
2022-11-23T01:32:33.0249674Z aten = torch.ops.aten
2022-11-23T01:32:33.0249814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0249911Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0249916Z 
2022-11-23T01:32:33.0249989Z import triton
2022-11-23T01:32:33.0250084Z import triton.language as tl
2022-11-23T01:32:33.0250211Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0250351Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0250356Z 
2022-11-23T01:32:33.0250368Z 
2022-11-23T01:32:33.0250516Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0250593Z import triton
2022-11-23T01:32:33.0250686Z import triton.language as tl
2022-11-23T01:32:33.0250801Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0250908Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0251044Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0251166Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0251178Z 
2022-11-23T01:32:33.0251557Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0251632Z @triton.jit
2022-11-23T01:32:33.0251777Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0251851Z     xnumel = 10
2022-11-23T01:32:33.0251951Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0252083Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0252166Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0252231Z     x0 = xindex
2022-11-23T01:32:33.0252338Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0252489Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0252586Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0252729Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0252814Z ''')
2022-11-23T01:32:33.0252819Z 
2022-11-23T01:32:33.0252823Z 
2022-11-23T01:32:33.0252915Z async_compile.wait(globals())
2022-11-23T01:32:33.0252992Z del async_compile
2022-11-23T01:32:33.0252997Z 
2022-11-23T01:32:33.0253066Z def call(args):
2022-11-23T01:32:33.0253146Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0253221Z     args.clear()
2022-11-23T01:32:33.0253418Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0253508Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0253653Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0253725Z     del arg0_1
2022-11-23T01:32:33.0253793Z     del arg1_1
2022-11-23T01:32:33.0253873Z     return (buf0, )
2022-11-23T01:32:33.0253878Z 
2022-11-23T01:32:33.0253883Z 
2022-11-23T01:32:33.0253962Z if __name__ == "__main__":
2022-11-23T01:32:33.0254080Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0254208Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0254406Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0254596Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0254717Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0254723Z 
2022-11-23T01:32:33.0254787Z ok (0.079s)
2022-11-23T01:32:33.0255168Z   test_cuda_broadcast1_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0255486Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0255728Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0255983Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0256261Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0256577Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0256924Z [2022-11-23 01:32:20,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0257241Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0257616Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0257708Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0257805Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0257884Z               4 BINARY_ADD
2022-11-23T01:32:33.0257978Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0258058Z               8 RETURN_VALUE
2022-11-23T01:32:33.0258123Z  
2022-11-23T01:32:33.0258128Z 
2022-11-23T01:32:33.0258442Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0258656Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0259072Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0259352Z [2022-11-23 01:32:20,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0259598Z [2022-11-23 01:32:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0259847Z [2022-11-23 01:32:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0260231Z [2022-11-23 01:32:20,959] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0260480Z [2022-11-23 01:32:20,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0260719Z [2022-11-23 01:32:20,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0260976Z [2022-11-23 01:32:20,960] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0261235Z [2022-11-23 01:32:20,962] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0261425Z [2022-11-23 01:32:20,963] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0261561Z  __compiled_fn_977 <eval_with_key>.5992 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0261653Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0261745Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0261928Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0262027Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0262077Z 
2022-11-23T01:32:33.0262435Z [2022-11-23 01:32:20,963] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0262553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0262680Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0262767Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0262866Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0262958Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0263052Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0263132Z              12 RETURN_VALUE
2022-11-23T01:32:33.0263137Z 
2022-11-23T01:32:33.0263203Z  
2022-11-23T01:32:33.0263524Z [2022-11-23 01:32:20,963] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0263638Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_977)
2022-11-23T01:32:33.0263735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0263831Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0263913Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0264007Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0264103Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0264183Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0264271Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0264382Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0264490Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0264584Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0264666Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0264759Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0264840Z              26 RETURN_VALUE
2022-11-23T01:32:33.0264845Z 
2022-11-23T01:32:33.0264912Z  
2022-11-23T01:32:33.0265095Z [2022-11-23 01:32:20,964] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0265170Z  - 
2022-11-23T01:32:33.0265294Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0265361Z             {
2022-11-23T01:32:33.0265507Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0265701Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0265829Z                 'obj_weakref': None
2022-11-23T01:32:33.0266049Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0266119Z             }
2022-11-23T01:32:33.0266186Z             
2022-11-23T01:32:33.0266261Z  - 
2022-11-23T01:32:33.0266392Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0266459Z             {
2022-11-23T01:32:33.0266605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0266709Z                 'code': None,
2022-11-23T01:32:33.0266925Z                 'obj_weakref': <weakref at 0x7f1f25bb89a0; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0267179Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0267249Z             }
2022-11-23T01:32:33.0267320Z             
2022-11-23T01:32:33.0267395Z  - 
2022-11-23T01:32:33.0267521Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0267583Z             {
2022-11-23T01:32:33.0267728Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0267839Z                 'code': None,
2022-11-23T01:32:33.0268052Z                 'obj_weakref': <weakref at 0x7f1f25bbba10; to 'Tensor' at 0x7f1ffad4f600>
2022-11-23T01:32:33.0268301Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0268369Z             }
2022-11-23T01:32:33.0268436Z             
2022-11-23T01:32:33.0268504Z  - 
2022-11-23T01:32:33.0268668Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0268737Z             {
2022-11-23T01:32:33.0268878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0269054Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0269178Z                 'obj_weakref': None
2022-11-23T01:32:33.0269432Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0269494Z             }
2022-11-23T01:32:33.0269560Z             
2022-11-23T01:32:33.0269634Z  - 
2022-11-23T01:32:33.0269761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0269829Z             {
2022-11-23T01:32:33.0269970Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0270192Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0270386Z                 'obj_weakref': None
2022-11-23T01:32:33.0270644Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0270732Z             }
2022-11-23T01:32:33.0270809Z             
2022-11-23T01:32:33.0271075Z [2022-11-23 01:32:20,967] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 959
2022-11-23T01:32:33.0271331Z [2022-11-23 01:32:20,971] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0271690Z [2022-11-23 01:32:21,038] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ji/cjimoi64u45ztjrade5tq3s64yiketrf7lbeaf6vbh4qbk3kiq3n.py
2022-11-23T01:32:33.0271958Z [2022-11-23 01:32:21,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 959
2022-11-23T01:32:33.0271964Z 
2022-11-23T01:32:33.0272058Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0272134Z import torch
2022-11-23T01:32:33.0272209Z import random
2022-11-23T01:32:33.0272334Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0272463Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0272469Z 
2022-11-23T01:32:33.0272552Z aten = torch.ops.aten
2022-11-23T01:32:33.0272691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0272783Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0272797Z 
2022-11-23T01:32:33.0272866Z import triton
2022-11-23T01:32:33.0272959Z import triton.language as tl
2022-11-23T01:32:33.0273087Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0273232Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0273238Z 
2022-11-23T01:32:33.0273242Z 
2022-11-23T01:32:33.0273397Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0273474Z import triton
2022-11-23T01:32:33.0273568Z import triton.language as tl
2022-11-23T01:32:33.0273678Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0273781Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0273918Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0274046Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0274051Z 
2022-11-23T01:32:33.0274438Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0274515Z @triton.jit
2022-11-23T01:32:33.0274659Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0274734Z     xnumel = 100
2022-11-23T01:32:33.0274827Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0274959Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0275044Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0275121Z     x0 = xindex % 10
2022-11-23T01:32:33.0275193Z     x2 = xindex
2022-11-23T01:32:33.0275292Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0275423Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0275498Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0275638Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0275726Z ''')
2022-11-23T01:32:33.0275731Z 
2022-11-23T01:32:33.0275736Z 
2022-11-23T01:32:33.0275852Z async_compile.wait(globals())
2022-11-23T01:32:33.0275929Z del async_compile
2022-11-23T01:32:33.0275934Z 
2022-11-23T01:32:33.0276011Z def call(args):
2022-11-23T01:32:33.0276092Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0276168Z     args.clear()
2022-11-23T01:32:33.0276371Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0276463Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0276608Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0276682Z     del arg0_1
2022-11-23T01:32:33.0276755Z     del arg1_1
2022-11-23T01:32:33.0276831Z     return (buf0, )
2022-11-23T01:32:33.0276836Z 
2022-11-23T01:32:33.0276840Z 
2022-11-23T01:32:33.0276922Z if __name__ == "__main__":
2022-11-23T01:32:33.0277036Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0277166Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0277364Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0277570Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0277692Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0277697Z 
2022-11-23T01:32:33.0277769Z ok (0.085s)
2022-11-23T01:32:33.0278115Z   test_cuda_broadcast1_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0278434Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0278657Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0278905Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0279184Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0279504Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0279843Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0280169Z [2022-11-23 01:32:21,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0280554Z [2022-11-23 01:32:21,043] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0280653Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0280750Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0280834Z               4 BINARY_ADD
2022-11-23T01:32:33.0280924Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0281004Z               8 RETURN_VALUE
2022-11-23T01:32:33.0281071Z  
2022-11-23T01:32:33.0281076Z 
2022-11-23T01:32:33.0281388Z [2022-11-23 01:32:21,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0281605Z [2022-11-23 01:32:21,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0281847Z [2022-11-23 01:32:21,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0282151Z [2022-11-23 01:32:21,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0282399Z [2022-11-23 01:32:21,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0282649Z [2022-11-23 01:32:21,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0283050Z [2022-11-23 01:32:21,044] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0283302Z [2022-11-23 01:32:21,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0283541Z [2022-11-23 01:32:21,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0283801Z [2022-11-23 01:32:21,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0284059Z [2022-11-23 01:32:21,047] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0284256Z [2022-11-23 01:32:21,047] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0284398Z  __compiled_fn_978 <eval_with_key>.5998 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0284495Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0284582Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0284765Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0284870Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0284875Z 
2022-11-23T01:32:33.0285204Z [2022-11-23 01:32:21,048] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0285306Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0285404Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0285502Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0285606Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0285692Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0285786Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0285867Z              12 RETURN_VALUE
2022-11-23T01:32:33.0285875Z 
2022-11-23T01:32:33.0285942Z  
2022-11-23T01:32:33.0286260Z [2022-11-23 01:32:21,048] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0286379Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_978)
2022-11-23T01:32:33.0286477Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0286576Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0286652Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0286746Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0286841Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0286924Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0287017Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0287135Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0287245Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0287336Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0287418Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0287512Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0287593Z              26 RETURN_VALUE
2022-11-23T01:32:33.0287598Z 
2022-11-23T01:32:33.0287664Z  
2022-11-23T01:32:33.0287852Z [2022-11-23 01:32:21,048] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0287928Z  - 
2022-11-23T01:32:33.0288047Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0288119Z             {
2022-11-23T01:32:33.0288264Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0288486Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0288613Z                 'obj_weakref': None
2022-11-23T01:32:33.0288838Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0288908Z             }
2022-11-23T01:32:33.0289000Z             
2022-11-23T01:32:33.0289078Z  - 
2022-11-23T01:32:33.0289210Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0289280Z             {
2022-11-23T01:32:33.0289428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0289543Z                 'code': None,
2022-11-23T01:32:33.0289758Z                 'obj_weakref': <weakref at 0x7f1f25b94720; to 'Tensor' at 0x7f1f259413f0>
2022-11-23T01:32:33.0290005Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0290076Z             }
2022-11-23T01:32:33.0290148Z             
2022-11-23T01:32:33.0290224Z  - 
2022-11-23T01:32:33.0290353Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0290425Z             {
2022-11-23T01:32:33.0290575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0290681Z                 'code': None,
2022-11-23T01:32:33.0290894Z                 'obj_weakref': <weakref at 0x7f1f25b96200; to 'Tensor' at 0x7f2151f1a520>
2022-11-23T01:32:33.0291149Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0291219Z             }
2022-11-23T01:32:33.0291288Z             
2022-11-23T01:32:33.0291366Z  - 
2022-11-23T01:32:33.0291504Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0291566Z             {
2022-11-23T01:32:33.0291708Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0291884Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0292009Z                 'obj_weakref': None
2022-11-23T01:32:33.0292243Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0292313Z             }
2022-11-23T01:32:33.0292381Z             
2022-11-23T01:32:33.0292450Z  - 
2022-11-23T01:32:33.0292578Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0292647Z             {
2022-11-23T01:32:33.0292796Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0293057Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0293181Z                 'obj_weakref': None
2022-11-23T01:32:33.0293406Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0293469Z             }
2022-11-23T01:32:33.0293538Z             
2022-11-23T01:32:33.0293801Z [2022-11-23 01:32:21,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 960
2022-11-23T01:32:33.0294051Z [2022-11-23 01:32:21,056] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0294421Z [2022-11-23 01:32:21,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpr2jytcohmtn2prqi5e2ejoxlwwtxgadovkkak4ebvwymsj2e2.py
2022-11-23T01:32:33.0294687Z [2022-11-23 01:32:21,129] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 960
2022-11-23T01:32:33.0294696Z 
2022-11-23T01:32:33.0294797Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0294872Z import torch
2022-11-23T01:32:33.0294948Z import random
2022-11-23T01:32:33.0295065Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0295191Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0295196Z 
2022-11-23T01:32:33.0295279Z aten = torch.ops.aten
2022-11-23T01:32:33.0295424Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0295522Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0295527Z 
2022-11-23T01:32:33.0295602Z import triton
2022-11-23T01:32:33.0295696Z import triton.language as tl
2022-11-23T01:32:33.0295848Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0295994Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0296000Z 
2022-11-23T01:32:33.0296004Z 
2022-11-23T01:32:33.0296162Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0296258Z import triton
2022-11-23T01:32:33.0296352Z import triton.language as tl
2022-11-23T01:32:33.0296471Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0296576Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0296713Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0296835Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0296840Z 
2022-11-23T01:32:33.0297229Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0297310Z @triton.jit
2022-11-23T01:32:33.0297457Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0297532Z     xnumel = 100
2022-11-23T01:32:33.0297630Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0297763Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0297852Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0297922Z     x0 = xindex % 10
2022-11-23T01:32:33.0297994Z     x2 = xindex
2022-11-23T01:32:33.0298093Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0298190Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0298279Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.0298359Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.0298499Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0298579Z ''')
2022-11-23T01:32:33.0298585Z 
2022-11-23T01:32:33.0298589Z 
2022-11-23T01:32:33.0298683Z async_compile.wait(globals())
2022-11-23T01:32:33.0298763Z del async_compile
2022-11-23T01:32:33.0298768Z 
2022-11-23T01:32:33.0299029Z def call(args):
2022-11-23T01:32:33.0299115Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0299193Z     args.clear()
2022-11-23T01:32:33.0299400Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0299489Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0299635Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0299712Z     del arg0_1
2022-11-23T01:32:33.0299784Z     del arg1_1
2022-11-23T01:32:33.0299860Z     return (buf0, )
2022-11-23T01:32:33.0299865Z 
2022-11-23T01:32:33.0299870Z 
2022-11-23T01:32:33.0299950Z if __name__ == "__main__":
2022-11-23T01:32:33.0300073Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0300203Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0300397Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0300607Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0300728Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0300733Z 
2022-11-23T01:32:33.0300804Z ok (0.091s)
2022-11-23T01:32:33.0301143Z   test_cuda_broadcast1_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0301459Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0301682Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0301940Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0302217Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0302582Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0302927Z [2022-11-23 01:32:21,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0303276Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0303654Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0303754Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0303854Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0303934Z               4 BINARY_ADD
2022-11-23T01:32:33.0304032Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0304113Z               8 RETURN_VALUE
2022-11-23T01:32:33.0304173Z  
2022-11-23T01:32:33.0304178Z 
2022-11-23T01:32:33.0304490Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0304706Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0304944Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0305217Z [2022-11-23 01:32:21,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0305459Z [2022-11-23 01:32:21,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0305705Z [2022-11-23 01:32:21,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0306084Z [2022-11-23 01:32:21,136] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0306328Z [2022-11-23 01:32:21,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0306562Z [2022-11-23 01:32:21,137] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0306818Z [2022-11-23 01:32:21,138] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0307068Z [2022-11-23 01:32:21,141] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0307260Z [2022-11-23 01:32:21,141] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0307403Z  __compiled_fn_979 <eval_with_key>.6004 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0307499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0307592Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0307773Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0307867Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0307873Z 
2022-11-23T01:32:33.0308199Z [2022-11-23 01:32:21,142] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0308300Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0308398Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0308491Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0308591Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0308683Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0308777Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0308852Z              12 RETURN_VALUE
2022-11-23T01:32:33.0308858Z 
2022-11-23T01:32:33.0308923Z  
2022-11-23T01:32:33.0309266Z [2022-11-23 01:32:21,142] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0309385Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_979)
2022-11-23T01:32:33.0309502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0309600Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0309684Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0309773Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0309868Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0309948Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0310043Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0310156Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0310334Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0310451Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0310546Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0310645Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0310740Z              26 RETURN_VALUE
2022-11-23T01:32:33.0310746Z 
2022-11-23T01:32:33.0310825Z  
2022-11-23T01:32:33.0311018Z [2022-11-23 01:32:21,143] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0311094Z  - 
2022-11-23T01:32:33.0311218Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0311288Z             {
2022-11-23T01:32:33.0311427Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0311617Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0311742Z                 'obj_weakref': None
2022-11-23T01:32:33.0311970Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0312039Z             }
2022-11-23T01:32:33.0312107Z             
2022-11-23T01:32:33.0312184Z  - 
2022-11-23T01:32:33.0312310Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0312380Z             {
2022-11-23T01:32:33.0312527Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0312640Z                 'code': None,
2022-11-23T01:32:33.0312852Z                 'obj_weakref': <weakref at 0x7f1f25b4e8e0; to 'Tensor' at 0x7f1f25eab8d0>
2022-11-23T01:32:33.0313109Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0313178Z             }
2022-11-23T01:32:33.0313240Z             
2022-11-23T01:32:33.0313316Z  - 
2022-11-23T01:32:33.0313442Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0313511Z             {
2022-11-23T01:32:33.0313658Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0313772Z                 'code': None,
2022-11-23T01:32:33.0313984Z                 'obj_weakref': <weakref at 0x7f1f25b4d490; to 'Tensor' at 0x7f1f259eaf20>
2022-11-23T01:32:33.0314228Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0314298Z             }
2022-11-23T01:32:33.0314366Z             
2022-11-23T01:32:33.0314442Z  - 
2022-11-23T01:32:33.0314579Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0314650Z             {
2022-11-23T01:32:33.0314792Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0314961Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0315087Z                 'obj_weakref': None
2022-11-23T01:32:33.0315318Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0315387Z             }
2022-11-23T01:32:33.0315455Z             
2022-11-23T01:32:33.0315530Z  - 
2022-11-23T01:32:33.0315660Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0315723Z             {
2022-11-23T01:32:33.0315865Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0316119Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0316245Z                 'obj_weakref': None
2022-11-23T01:32:33.0316474Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0316571Z             }
2022-11-23T01:32:33.0316639Z             
2022-11-23T01:32:33.0316898Z [2022-11-23 01:32:21,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 961
2022-11-23T01:32:33.0317150Z [2022-11-23 01:32:21,153] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0317514Z [2022-11-23 01:32:21,223] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6zrq6fsjjl7xkg5xnkcmorovdyvllp376vcljcustdtv2cuyfp.py
2022-11-23T01:32:33.0317778Z [2022-11-23 01:32:21,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 961
2022-11-23T01:32:33.0317784Z 
2022-11-23T01:32:33.0317888Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0317963Z import torch
2022-11-23T01:32:33.0318037Z import random
2022-11-23T01:32:33.0318161Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0318281Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0318295Z 
2022-11-23T01:32:33.0318373Z aten = torch.ops.aten
2022-11-23T01:32:33.0318512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0318611Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0318616Z 
2022-11-23T01:32:33.0318693Z import triton
2022-11-23T01:32:33.0318788Z import triton.language as tl
2022-11-23T01:32:33.0318914Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0319057Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0319063Z 
2022-11-23T01:32:33.0319067Z 
2022-11-23T01:32:33.0319216Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0319292Z import triton
2022-11-23T01:32:33.0319388Z import triton.language as tl
2022-11-23T01:32:33.0319503Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0319607Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0319742Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0319871Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0319876Z 
2022-11-23T01:32:33.0320263Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0320331Z @triton.jit
2022-11-23T01:32:33.0320477Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0320553Z     xnumel = 10
2022-11-23T01:32:33.0320652Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0320784Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0320871Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0320943Z     x0 = xindex
2022-11-23T01:32:33.0321035Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0321133Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0321224Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.0321306Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0321443Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0321531Z ''')
2022-11-23T01:32:33.0321536Z 
2022-11-23T01:32:33.0321541Z 
2022-11-23T01:32:33.0321638Z async_compile.wait(globals())
2022-11-23T01:32:33.0321715Z del async_compile
2022-11-23T01:32:33.0321720Z 
2022-11-23T01:32:33.0321790Z def call(args):
2022-11-23T01:32:33.0321871Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0321948Z     args.clear()
2022-11-23T01:32:33.0322147Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0322239Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0322413Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0322488Z     del arg0_1
2022-11-23T01:32:33.0322555Z     del arg1_1
2022-11-23T01:32:33.0322631Z     return (buf0, )
2022-11-23T01:32:33.0322636Z 
2022-11-23T01:32:33.0322640Z 
2022-11-23T01:32:33.0322735Z if __name__ == "__main__":
2022-11-23T01:32:33.0322897Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0323045Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0323245Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0323438Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.0323560Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0323565Z 
2022-11-23T01:32:33.0323631Z ok (0.094s)
2022-11-23T01:32:33.0323978Z   test_cuda_broadcast1_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0324297Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0324518Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0324775Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0325056Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0325372Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0325710Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0326031Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0326405Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0326500Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0326599Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0326678Z               4 BINARY_ADD
2022-11-23T01:32:33.0326773Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0326856Z               8 RETURN_VALUE
2022-11-23T01:32:33.0326922Z  
2022-11-23T01:32:33.0326928Z 
2022-11-23T01:32:33.0327238Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0327453Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0327691Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0327963Z [2022-11-23 01:32:21,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0328211Z [2022-11-23 01:32:21,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0328462Z [2022-11-23 01:32:21,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0328845Z [2022-11-23 01:32:21,230] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0329094Z [2022-11-23 01:32:21,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0329358Z [2022-11-23 01:32:21,230] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0329617Z [2022-11-23 01:32:21,230] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0329872Z [2022-11-23 01:32:21,233] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0330100Z [2022-11-23 01:32:21,233] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0330242Z  __compiled_fn_980 <eval_with_key>.6010 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0330338Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0330431Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0330613Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0330713Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0330718Z 
2022-11-23T01:32:33.0331043Z [2022-11-23 01:32:21,234] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0331148Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0331239Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0331333Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0331435Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0331531Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0331625Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0331706Z              12 RETURN_VALUE
2022-11-23T01:32:33.0331711Z 
2022-11-23T01:32:33.0331777Z  
2022-11-23T01:32:33.0332091Z [2022-11-23 01:32:21,234] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0332203Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_980)
2022-11-23T01:32:33.0332299Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0332400Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0332483Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0332577Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0332673Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0332756Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0332861Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0332984Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0333118Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0333214Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0333296Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0333390Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0333470Z              26 RETURN_VALUE
2022-11-23T01:32:33.0333476Z 
2022-11-23T01:32:33.0333534Z  
2022-11-23T01:32:33.0333724Z [2022-11-23 01:32:21,234] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0333800Z  - 
2022-11-23T01:32:33.0333927Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0333996Z             {
2022-11-23T01:32:33.0334142Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0334336Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0334458Z                 'obj_weakref': None
2022-11-23T01:32:33.0334683Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0334753Z             }
2022-11-23T01:32:33.0334821Z             
2022-11-23T01:32:33.0334898Z  - 
2022-11-23T01:32:33.0335025Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0335094Z             {
2022-11-23T01:32:33.0335235Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0335346Z                 'code': None,
2022-11-23T01:32:33.0335557Z                 'obj_weakref': <weakref at 0x7f201e6f3600; to 'Tensor' at 0x7f1f25b5bf60>
2022-11-23T01:32:33.0335836Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0335907Z             }
2022-11-23T01:32:33.0335975Z             
2022-11-23T01:32:33.0336053Z  - 
2022-11-23T01:32:33.0336173Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0336243Z             {
2022-11-23T01:32:33.0336413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0336526Z                 'code': None,
2022-11-23T01:32:33.0336742Z                 'obj_weakref': <weakref at 0x7f1f25b0fba0; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0336992Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0337061Z             }
2022-11-23T01:32:33.0337129Z             
2022-11-23T01:32:33.0337198Z  - 
2022-11-23T01:32:33.0337335Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0337403Z             {
2022-11-23T01:32:33.0337543Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0337721Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0337843Z                 'obj_weakref': None
2022-11-23T01:32:33.0338073Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0338138Z             }
2022-11-23T01:32:33.0338207Z             
2022-11-23T01:32:33.0338282Z  - 
2022-11-23T01:32:33.0338410Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0338478Z             {
2022-11-23T01:32:33.0338619Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0339098Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0339229Z                 'obj_weakref': None
2022-11-23T01:32:33.0339455Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0339525Z             }
2022-11-23T01:32:33.0339592Z             
2022-11-23T01:32:33.0339862Z [2022-11-23 01:32:21,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 962
2022-11-23T01:32:33.0340114Z [2022-11-23 01:32:21,244] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0340475Z [2022-11-23 01:32:21,316] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/43/c43uwoojcb7iydm5omh53ctvet4ktkes4cpq3kot7yce4j6yeomj.py
2022-11-23T01:32:33.0340740Z [2022-11-23 01:32:21,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 962
2022-11-23T01:32:33.0340752Z 
2022-11-23T01:32:33.0340846Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0340920Z import torch
2022-11-23T01:32:33.0340995Z import random
2022-11-23T01:32:33.0341121Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0341247Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0341252Z 
2022-11-23T01:32:33.0341335Z aten = torch.ops.aten
2022-11-23T01:32:33.0341476Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0341569Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0341574Z 
2022-11-23T01:32:33.0341648Z import triton
2022-11-23T01:32:33.0341742Z import triton.language as tl
2022-11-23T01:32:33.0341868Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0342014Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0342020Z 
2022-11-23T01:32:33.0342024Z 
2022-11-23T01:32:33.0342179Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0342255Z import triton
2022-11-23T01:32:33.0342350Z import triton.language as tl
2022-11-23T01:32:33.0342459Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0342563Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0342697Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0342826Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0342831Z 
2022-11-23T01:32:33.0343272Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0343349Z @triton.jit
2022-11-23T01:32:33.0343522Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0343598Z     xnumel = 100
2022-11-23T01:32:33.0343691Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0343823Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0343908Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0343985Z     x0 = xindex % 10
2022-11-23T01:32:33.0344070Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0344142Z     x2 = xindex
2022-11-23T01:32:33.0344242Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0344347Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.0344428Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0344567Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0344658Z ''')
2022-11-23T01:32:33.0344664Z 
2022-11-23T01:32:33.0344668Z 
2022-11-23T01:32:33.0344763Z async_compile.wait(globals())
2022-11-23T01:32:33.0344842Z del async_compile
2022-11-23T01:32:33.0344850Z 
2022-11-23T01:32:33.0344925Z def call(args):
2022-11-23T01:32:33.0344999Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0345076Z     args.clear()
2022-11-23T01:32:33.0345283Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0345374Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0345520Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0345594Z     del arg0_1
2022-11-23T01:32:33.0345666Z     del arg1_1
2022-11-23T01:32:33.0345737Z     return (buf0, )
2022-11-23T01:32:33.0345748Z 
2022-11-23T01:32:33.0345753Z 
2022-11-23T01:32:33.0345828Z if __name__ == "__main__":
2022-11-23T01:32:33.0345951Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0346083Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0346283Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0346485Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0346610Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0346615Z 
2022-11-23T01:32:33.0346686Z ok (0.093s)
2022-11-23T01:32:33.0347039Z   test_cuda_broadcast1_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,320] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0347347Z [2022-11-23 01:32:21,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0347569Z [2022-11-23 01:32:21,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0347830Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0348107Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0348431Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0348772Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0349090Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0349512Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0349614Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0349711Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0349784Z               4 BINARY_ADD
2022-11-23T01:32:33.0349880Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0349985Z               8 RETURN_VALUE
2022-11-23T01:32:33.0350052Z  
2022-11-23T01:32:33.0350057Z 
2022-11-23T01:32:33.0350457Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0350699Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0350939Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0351214Z [2022-11-23 01:32:21,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0351454Z [2022-11-23 01:32:21,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0351703Z [2022-11-23 01:32:21,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0352079Z [2022-11-23 01:32:21,322] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0352329Z [2022-11-23 01:32:21,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0352565Z [2022-11-23 01:32:21,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0352823Z [2022-11-23 01:32:21,323] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0353073Z [2022-11-23 01:32:21,326] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0353268Z [2022-11-23 01:32:21,326] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0353413Z  __compiled_fn_981 <eval_with_key>.6016 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0353502Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0353601Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0353780Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0353880Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0353886Z 
2022-11-23T01:32:33.0354209Z [2022-11-23 01:32:21,326] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0354310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0354408Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0354501Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0354595Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0354689Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0354784Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0354865Z              12 RETURN_VALUE
2022-11-23T01:32:33.0354870Z 
2022-11-23T01:32:33.0354936Z  
2022-11-23T01:32:33.0355257Z [2022-11-23 01:32:21,326] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0355375Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_981)
2022-11-23T01:32:33.0355473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0355564Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0355647Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0355740Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0355833Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0355915Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0356038Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0356153Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0356257Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0356355Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0356459Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0356554Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0356636Z              26 RETURN_VALUE
2022-11-23T01:32:33.0356641Z 
2022-11-23T01:32:33.0356706Z  
2022-11-23T01:32:33.0356894Z [2022-11-23 01:32:21,327] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0356964Z  - 
2022-11-23T01:32:33.0357088Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0357158Z             {
2022-11-23T01:32:33.0357304Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0357495Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0357620Z                 'obj_weakref': None
2022-11-23T01:32:33.0357850Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0357914Z             }
2022-11-23T01:32:33.0357982Z             
2022-11-23T01:32:33.0358059Z  - 
2022-11-23T01:32:33.0358188Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0358262Z             {
2022-11-23T01:32:33.0358413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0358524Z                 'code': None,
2022-11-23T01:32:33.0358730Z                 'obj_weakref': <weakref at 0x7f1f25f109a0; to 'Tensor' at 0x7f201e6f11c0>
2022-11-23T01:32:33.0358981Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0359052Z             }
2022-11-23T01:32:33.0359121Z             
2022-11-23T01:32:33.0359198Z  - 
2022-11-23T01:32:33.0359326Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0359397Z             {
2022-11-23T01:32:33.0359540Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0359651Z                 'code': None,
2022-11-23T01:32:33.0359859Z                 'obj_weakref': <weakref at 0x7f1f25f13740; to 'Tensor' at 0x7f201e6f3790>
2022-11-23T01:32:33.0360111Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0360186Z             }
2022-11-23T01:32:33.0360254Z             
2022-11-23T01:32:33.0360330Z  - 
2022-11-23T01:32:33.0360460Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0360529Z             {
2022-11-23T01:32:33.0360671Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0360846Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0360971Z                 'obj_weakref': None
2022-11-23T01:32:33.0361201Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0361272Z             }
2022-11-23T01:32:33.0361334Z             
2022-11-23T01:32:33.0361411Z  - 
2022-11-23T01:32:33.0361539Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0361608Z             {
2022-11-23T01:32:33.0361749Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0361970Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0362096Z                 'obj_weakref': None
2022-11-23T01:32:33.0362314Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0362384Z             }
2022-11-23T01:32:33.0362455Z             
2022-11-23T01:32:33.0362723Z [2022-11-23 01:32:21,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 963
2022-11-23T01:32:33.0363002Z [2022-11-23 01:32:21,335] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0363431Z [2022-11-23 01:32:21,406] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpcapdm3zoo65qoouhx5op6uodnqhv6ujugh6biom3mxv5a2ms5.py
2022-11-23T01:32:33.0363704Z [2022-11-23 01:32:21,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 963
2022-11-23T01:32:33.0363709Z 
2022-11-23T01:32:33.0363809Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0363897Z import torch
2022-11-23T01:32:33.0363973Z import random
2022-11-23T01:32:33.0364096Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0364226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0364232Z 
2022-11-23T01:32:33.0364315Z aten = torch.ops.aten
2022-11-23T01:32:33.0364456Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0364555Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0364560Z 
2022-11-23T01:32:33.0364634Z import triton
2022-11-23T01:32:33.0364721Z import triton.language as tl
2022-11-23T01:32:33.0364852Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0364998Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0365004Z 
2022-11-23T01:32:33.0365008Z 
2022-11-23T01:32:33.0365165Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0365243Z import triton
2022-11-23T01:32:33.0365335Z import triton.language as tl
2022-11-23T01:32:33.0365454Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0365551Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0365688Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0365818Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0365823Z 
2022-11-23T01:32:33.0366213Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0366289Z @triton.jit
2022-11-23T01:32:33.0366437Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0366513Z     xnumel = 100
2022-11-23T01:32:33.0366612Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0366740Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0366825Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0366910Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0366982Z     x2 = xindex
2022-11-23T01:32:33.0367082Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0367180Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0367260Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0367394Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0367484Z ''')
2022-11-23T01:32:33.0367489Z 
2022-11-23T01:32:33.0367493Z 
2022-11-23T01:32:33.0367591Z async_compile.wait(globals())
2022-11-23T01:32:33.0367669Z del async_compile
2022-11-23T01:32:33.0367674Z 
2022-11-23T01:32:33.0367749Z def call(args):
2022-11-23T01:32:33.0367830Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0367908Z     args.clear()
2022-11-23T01:32:33.0368115Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0368200Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0368346Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0368423Z     del arg0_1
2022-11-23T01:32:33.0368495Z     del arg1_1
2022-11-23T01:32:33.0368573Z     return (buf0, )
2022-11-23T01:32:33.0368578Z 
2022-11-23T01:32:33.0368582Z 
2022-11-23T01:32:33.0368662Z if __name__ == "__main__":
2022-11-23T01:32:33.0368781Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0368905Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0369104Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0369305Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0369428Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0369461Z 
2022-11-23T01:32:33.0369535Z ok (0.090s)
2022-11-23T01:32:33.0369887Z   test_cuda_broadcast2_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0370225Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0370449Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0370707Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0370978Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0371300Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0371641Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0371963Z [2022-11-23 01:32:21,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0372343Z [2022-11-23 01:32:21,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0372450Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0372567Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0372656Z               4 BINARY_ADD
2022-11-23T01:32:33.0372767Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0372842Z               8 RETURN_VALUE
2022-11-23T01:32:33.0372908Z  
2022-11-23T01:32:33.0372916Z 
2022-11-23T01:32:33.0373228Z [2022-11-23 01:32:21,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0373441Z [2022-11-23 01:32:21,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0373689Z [2022-11-23 01:32:21,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0373966Z [2022-11-23 01:32:21,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0374214Z [2022-11-23 01:32:21,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0374464Z [2022-11-23 01:32:21,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0374855Z [2022-11-23 01:32:21,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0375103Z [2022-11-23 01:32:21,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0375336Z [2022-11-23 01:32:21,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0375598Z [2022-11-23 01:32:21,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0375855Z [2022-11-23 01:32:21,415] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0376050Z [2022-11-23 01:32:21,415] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0376194Z  __compiled_fn_982 <eval_with_key>.6022 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0376289Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0376382Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0376596Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0376692Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0376698Z 
2022-11-23T01:32:33.0377028Z [2022-11-23 01:32:21,416] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0377154Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0377251Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0377345Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0377448Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0377541Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0377637Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0377713Z              12 RETURN_VALUE
2022-11-23T01:32:33.0377718Z 
2022-11-23T01:32:33.0377789Z  
2022-11-23T01:32:33.0378120Z [2022-11-23 01:32:21,416] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0378239Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_982)
2022-11-23T01:32:33.0378337Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0378434Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0378520Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0378609Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0378705Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0378962Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0379059Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0379174Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0379284Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0379380Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0379456Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0379550Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0379634Z              26 RETURN_VALUE
2022-11-23T01:32:33.0379639Z 
2022-11-23T01:32:33.0379705Z  
2022-11-23T01:32:33.0379898Z [2022-11-23 01:32:21,416] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0379974Z  - 
2022-11-23T01:32:33.0380100Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0380166Z             {
2022-11-23T01:32:33.0380314Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0380505Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0380630Z                 'obj_weakref': None
2022-11-23T01:32:33.0380856Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0380924Z             }
2022-11-23T01:32:33.0380992Z             
2022-11-23T01:32:33.0381067Z  - 
2022-11-23T01:32:33.0381188Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0381257Z             {
2022-11-23T01:32:33.0381407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0381518Z                 'code': None,
2022-11-23T01:32:33.0381731Z                 'obj_weakref': <weakref at 0x7f1f25a4d9e0; to 'Tensor' at 0x7f2151f02d40>
2022-11-23T01:32:33.0381980Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0382051Z             }
2022-11-23T01:32:33.0382113Z             
2022-11-23T01:32:33.0382191Z  - 
2022-11-23T01:32:33.0382319Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0382387Z             {
2022-11-23T01:32:33.0382536Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0382648Z                 'code': None,
2022-11-23T01:32:33.0382863Z                 'obj_weakref': <weakref at 0x7f1f25a4c860; to 'Tensor' at 0x7f1f25e9c860>
2022-11-23T01:32:33.0383109Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0383178Z             }
2022-11-23T01:32:33.0383292Z             
2022-11-23T01:32:33.0383369Z  - 
2022-11-23T01:32:33.0383506Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0383575Z             {
2022-11-23T01:32:33.0383716Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0383887Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0384042Z                 'obj_weakref': None
2022-11-23T01:32:33.0384279Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0384348Z             }
2022-11-23T01:32:33.0384417Z             
2022-11-23T01:32:33.0384495Z  - 
2022-11-23T01:32:33.0384616Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0384684Z             {
2022-11-23T01:32:33.0384827Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0385050Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0385175Z                 'obj_weakref': None
2022-11-23T01:32:33.0385403Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0385472Z             }
2022-11-23T01:32:33.0385542Z             
2022-11-23T01:32:33.0385803Z [2022-11-23 01:32:21,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 964
2022-11-23T01:32:33.0386062Z [2022-11-23 01:32:21,424] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0386434Z [2022-11-23 01:32:21,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dv/cdv2bvoapuyqnaqpwrf27wjgg3dbpmtmlztbrvlksbzeaywmrcoz.py
2022-11-23T01:32:33.0386703Z [2022-11-23 01:32:21,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 964
2022-11-23T01:32:33.0386709Z 
2022-11-23T01:32:33.0386809Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0386886Z import torch
2022-11-23T01:32:33.0386962Z import random
2022-11-23T01:32:33.0387087Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0387208Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0387213Z 
2022-11-23T01:32:33.0387297Z aten = torch.ops.aten
2022-11-23T01:32:33.0387437Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0387537Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0387542Z 
2022-11-23T01:32:33.0387617Z import triton
2022-11-23T01:32:33.0387710Z import triton.language as tl
2022-11-23T01:32:33.0387839Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0387977Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0387989Z 
2022-11-23T01:32:33.0387994Z 
2022-11-23T01:32:33.0388145Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0388222Z import triton
2022-11-23T01:32:33.0388314Z import triton.language as tl
2022-11-23T01:32:33.0388430Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0388536Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0388672Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0388801Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0388806Z 
2022-11-23T01:32:33.0389204Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0389276Z @triton.jit
2022-11-23T01:32:33.0389425Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0389501Z     xnumel = 100
2022-11-23T01:32:33.0389600Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0389732Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0389817Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0389898Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0389969Z     x0 = xindex % 10
2022-11-23T01:32:33.0390073Z     x2 = xindex
2022-11-23T01:32:33.0390176Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0390341Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0390432Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0390569Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0390687Z ''')
2022-11-23T01:32:33.0390692Z 
2022-11-23T01:32:33.0390697Z 
2022-11-23T01:32:33.0390785Z async_compile.wait(globals())
2022-11-23T01:32:33.0390865Z del async_compile
2022-11-23T01:32:33.0390871Z 
2022-11-23T01:32:33.0390946Z def call(args):
2022-11-23T01:32:33.0391025Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0391102Z     args.clear()
2022-11-23T01:32:33.0391318Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0391410Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0391555Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0391623Z     del arg0_1
2022-11-23T01:32:33.0391698Z     del arg1_1
2022-11-23T01:32:33.0391774Z     return (buf0, )
2022-11-23T01:32:33.0391779Z 
2022-11-23T01:32:33.0391784Z 
2022-11-23T01:32:33.0391864Z if __name__ == "__main__":
2022-11-23T01:32:33.0391984Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0392118Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0392330Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0392522Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0392643Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0392648Z 
2022-11-23T01:32:33.0392726Z ok (0.085s)
2022-11-23T01:32:33.0393082Z   test_cuda_broadcast2_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0393404Z [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0393628Z [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0393887Z [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0394174Z [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0394498Z [2022-11-23 01:32:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0394843Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0395164Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0395544Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0395646Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0395745Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0395825Z               4 BINARY_ADD
2022-11-23T01:32:33.0395919Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0396003Z               8 RETURN_VALUE
2022-11-23T01:32:33.0396072Z  
2022-11-23T01:32:33.0396077Z 
2022-11-23T01:32:33.0396387Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0396602Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0396884Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0397162Z [2022-11-23 01:32:21,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0397409Z [2022-11-23 01:32:21,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0397685Z [2022-11-23 01:32:21,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0398071Z [2022-11-23 01:32:21,497] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0398320Z [2022-11-23 01:32:21,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0398558Z [2022-11-23 01:32:21,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0398817Z [2022-11-23 01:32:21,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0399067Z [2022-11-23 01:32:21,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0399262Z [2022-11-23 01:32:21,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0399406Z  __compiled_fn_983 <eval_with_key>.6028 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0399502Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0399594Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0399779Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0399879Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0399884Z 
2022-11-23T01:32:33.0400213Z [2022-11-23 01:32:21,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0400310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0400409Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0400502Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0400602Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0400697Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0400792Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0400873Z              12 RETURN_VALUE
2022-11-23T01:32:33.0400878Z 
2022-11-23T01:32:33.0400938Z  
2022-11-23T01:32:33.0401259Z [2022-11-23 01:32:21,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0401378Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_983)
2022-11-23T01:32:33.0401475Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0401571Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0401654Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0401752Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0401848Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0401923Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0402019Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0402134Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0402243Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0402338Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0402427Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0402537Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0402622Z              26 RETURN_VALUE
2022-11-23T01:32:33.0402628Z 
2022-11-23T01:32:33.0402707Z  
2022-11-23T01:32:33.0402896Z [2022-11-23 01:32:21,501] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0402972Z  - 
2022-11-23T01:32:33.0403097Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0403167Z             {
2022-11-23T01:32:33.0403343Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0403530Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0403655Z                 'obj_weakref': None
2022-11-23T01:32:33.0403885Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0403977Z             }
2022-11-23T01:32:33.0404047Z             
2022-11-23T01:32:33.0404124Z  - 
2022-11-23T01:32:33.0404255Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0404318Z             {
2022-11-23T01:32:33.0404466Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0404577Z                 'code': None,
2022-11-23T01:32:33.0404791Z                 'obj_weakref': <weakref at 0x7f1fd97bb7e0; to 'Tensor' at 0x7f1f25e9c860>
2022-11-23T01:32:33.0405041Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0405112Z             }
2022-11-23T01:32:33.0405179Z             
2022-11-23T01:32:33.0405249Z  - 
2022-11-23T01:32:33.0405377Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0405445Z             {
2022-11-23T01:32:33.0405592Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0405708Z                 'code': None,
2022-11-23T01:32:33.0405919Z                 'obj_weakref': <weakref at 0x7f1fd82edd50; to 'Tensor' at 0x7f2151f1a6b0>
2022-11-23T01:32:33.0406169Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0406232Z             }
2022-11-23T01:32:33.0406304Z             
2022-11-23T01:32:33.0406380Z  - 
2022-11-23T01:32:33.0406516Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0406585Z             {
2022-11-23T01:32:33.0406727Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0406903Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0407024Z                 'obj_weakref': None
2022-11-23T01:32:33.0407259Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0407329Z             }
2022-11-23T01:32:33.0407397Z             
2022-11-23T01:32:33.0407476Z  - 
2022-11-23T01:32:33.0407602Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0407670Z             {
2022-11-23T01:32:33.0407807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0408028Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0408151Z                 'obj_weakref': None
2022-11-23T01:32:33.0408376Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0408445Z             }
2022-11-23T01:32:33.0408513Z             
2022-11-23T01:32:33.0408779Z [2022-11-23 01:32:21,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 965
2022-11-23T01:32:33.0409031Z [2022-11-23 01:32:21,509] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0409393Z [2022-11-23 01:32:21,514] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l2/cl2rrxcnvq2txnsjybxdz57bpmtix5mki2dbvpjyz5oe7dxftpf7.py
2022-11-23T01:32:33.0409664Z [2022-11-23 01:32:21,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 965
2022-11-23T01:32:33.0409670Z 
2022-11-23T01:32:33.0409771Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0409846Z import torch
2022-11-23T01:32:33.0409923Z import random
2022-11-23T01:32:33.0410045Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0410170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0410176Z 
2022-11-23T01:32:33.0410263Z aten = torch.ops.aten
2022-11-23T01:32:33.0410397Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0410525Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0410531Z 
2022-11-23T01:32:33.0410608Z import triton
2022-11-23T01:32:33.0410702Z import triton.language as tl
2022-11-23T01:32:33.0410831Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0410978Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0411002Z 
2022-11-23T01:32:33.0411007Z 
2022-11-23T01:32:33.0411164Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0411239Z import triton
2022-11-23T01:32:33.0411326Z import triton.language as tl
2022-11-23T01:32:33.0411441Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0411546Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0411681Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0411808Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0411813Z 
2022-11-23T01:32:33.0412206Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0412283Z @triton.jit
2022-11-23T01:32:33.0412449Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0412525Z     xnumel = 10
2022-11-23T01:32:33.0412645Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0412779Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0412864Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0412936Z     x0 = xindex
2022-11-23T01:32:33.0413035Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0413134Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0413208Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0413347Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0413433Z ''')
2022-11-23T01:32:33.0413438Z 
2022-11-23T01:32:33.0413443Z 
2022-11-23T01:32:33.0413540Z async_compile.wait(globals())
2022-11-23T01:32:33.0413617Z del async_compile
2022-11-23T01:32:33.0413622Z 
2022-11-23T01:32:33.0413699Z def call(args):
2022-11-23T01:32:33.0413779Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0413849Z     args.clear()
2022-11-23T01:32:33.0414062Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0414156Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0414304Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0414376Z     del arg0_1
2022-11-23T01:32:33.0414449Z     del arg1_1
2022-11-23T01:32:33.0414526Z     return (buf0, )
2022-11-23T01:32:33.0414531Z 
2022-11-23T01:32:33.0414535Z 
2022-11-23T01:32:33.0414616Z if __name__ == "__main__":
2022-11-23T01:32:33.0414729Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0414859Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0415071Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0415273Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0415396Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0415401Z 
2022-11-23T01:32:33.0415475Z ok (0.023s)
2022-11-23T01:32:33.0415827Z   test_cuda_broadcast2_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0416143Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0416359Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0416617Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0416932Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0417257Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0417623Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0417948Z [2022-11-23 01:32:21,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0418327Z [2022-11-23 01:32:21,519] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0418426Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0418524Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0418608Z               4 BINARY_ADD
2022-11-23T01:32:33.0418696Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0418893Z               8 RETURN_VALUE
2022-11-23T01:32:33.0418962Z  
2022-11-23T01:32:33.0418968Z 
2022-11-23T01:32:33.0419289Z [2022-11-23 01:32:21,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0419508Z [2022-11-23 01:32:21,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0419750Z [2022-11-23 01:32:21,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0420029Z [2022-11-23 01:32:21,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0420274Z [2022-11-23 01:32:21,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0420521Z [2022-11-23 01:32:21,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0420907Z [2022-11-23 01:32:21,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0421158Z [2022-11-23 01:32:21,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0421395Z [2022-11-23 01:32:21,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0421653Z [2022-11-23 01:32:21,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0421907Z [2022-11-23 01:32:21,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0422099Z [2022-11-23 01:32:21,523] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0422246Z  __compiled_fn_984 <eval_with_key>.6034 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0422341Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0422428Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0422614Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0422714Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0422722Z 
2022-11-23T01:32:33.0423050Z [2022-11-23 01:32:21,524] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0423150Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0423247Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0423341Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0423444Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0423531Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0423627Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0423752Z              12 RETURN_VALUE
2022-11-23T01:32:33.0423758Z 
2022-11-23T01:32:33.0423825Z  
2022-11-23T01:32:33.0424147Z [2022-11-23 01:32:21,524] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0424291Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_984)
2022-11-23T01:32:33.0424389Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0424489Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0424565Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0424662Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0424755Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0424836Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0424932Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0425044Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0425158Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0425247Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0425331Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0425425Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0425505Z              26 RETURN_VALUE
2022-11-23T01:32:33.0425513Z 
2022-11-23T01:32:33.0425578Z  
2022-11-23T01:32:33.0425768Z [2022-11-23 01:32:21,524] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0425844Z  - 
2022-11-23T01:32:33.0425963Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0426033Z             {
2022-11-23T01:32:33.0426179Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0426371Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0426496Z                 'obj_weakref': None
2022-11-23T01:32:33.0426724Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0426793Z             }
2022-11-23T01:32:33.0426859Z             
2022-11-23T01:32:33.0426937Z  - 
2022-11-23T01:32:33.0427069Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0427140Z             {
2022-11-23T01:32:33.0427288Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0427400Z                 'code': None,
2022-11-23T01:32:33.0427620Z                 'obj_weakref': <weakref at 0x7f1fd9a582c0; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0427865Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0427935Z             }
2022-11-23T01:32:33.0428006Z             
2022-11-23T01:32:33.0428081Z  - 
2022-11-23T01:32:33.0428210Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0428278Z             {
2022-11-23T01:32:33.0428427Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0428533Z                 'code': None,
2022-11-23T01:32:33.0428750Z                 'obj_weakref': <weakref at 0x7f1fd9a5afc0; to 'Tensor' at 0x7f1f25e9c860>
2022-11-23T01:32:33.0429005Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0429074Z             }
2022-11-23T01:32:33.0429143Z             
2022-11-23T01:32:33.0429217Z  - 
2022-11-23T01:32:33.0429355Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0429417Z             {
2022-11-23T01:32:33.0429557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0429734Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0429859Z                 'obj_weakref': None
2022-11-23T01:32:33.0430092Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0430162Z             }
2022-11-23T01:32:33.0430232Z             
2022-11-23T01:32:33.0430379Z  - 
2022-11-23T01:32:33.0430527Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0430609Z             {
2022-11-23T01:32:33.0430810Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0431069Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0431194Z                 'obj_weakref': None
2022-11-23T01:32:33.0431421Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0431507Z             }
2022-11-23T01:32:33.0431578Z             
2022-11-23T01:32:33.0431845Z [2022-11-23 01:32:21,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 966
2022-11-23T01:32:33.0432099Z [2022-11-23 01:32:21,532] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0432466Z [2022-11-23 01:32:21,538] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpv3ruufsoeapwmo5euku66fytp67c5z7cfenxluigd4ljhgrfwt.py
2022-11-23T01:32:33.0432738Z [2022-11-23 01:32:21,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 966
2022-11-23T01:32:33.0432743Z 
2022-11-23T01:32:33.0432844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0432918Z import torch
2022-11-23T01:32:33.0432987Z import random
2022-11-23T01:32:33.0433110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0433240Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0433245Z 
2022-11-23T01:32:33.0433329Z aten = torch.ops.aten
2022-11-23T01:32:33.0433468Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0433568Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0433573Z 
2022-11-23T01:32:33.0433648Z import triton
2022-11-23T01:32:33.0433740Z import triton.language as tl
2022-11-23T01:32:33.0433863Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0434006Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0434011Z 
2022-11-23T01:32:33.0434016Z 
2022-11-23T01:32:33.0434175Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0434251Z import triton
2022-11-23T01:32:33.0434345Z import triton.language as tl
2022-11-23T01:32:33.0434461Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0434563Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0434695Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0434831Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0434836Z 
2022-11-23T01:32:33.0435223Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0435297Z @triton.jit
2022-11-23T01:32:33.0435445Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0435521Z     xnumel = 10
2022-11-23T01:32:33.0435622Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0435759Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0435837Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0435909Z     x0 = xindex
2022-11-23T01:32:33.0436008Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0436142Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0436226Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0436365Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0436451Z ''')
2022-11-23T01:32:33.0436456Z 
2022-11-23T01:32:33.0436461Z 
2022-11-23T01:32:33.0436554Z async_compile.wait(globals())
2022-11-23T01:32:33.0436626Z del async_compile
2022-11-23T01:32:33.0436631Z 
2022-11-23T01:32:33.0436707Z def call(args):
2022-11-23T01:32:33.0436787Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0436864Z     args.clear()
2022-11-23T01:32:33.0437073Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0437165Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0437360Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0437429Z     del arg0_1
2022-11-23T01:32:33.0437502Z     del arg1_1
2022-11-23T01:32:33.0437578Z     return (buf0, )
2022-11-23T01:32:33.0437583Z 
2022-11-23T01:32:33.0437608Z 
2022-11-23T01:32:33.0437690Z if __name__ == "__main__":
2022-11-23T01:32:33.0437812Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0437941Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0438147Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0438343Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0438458Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0438463Z 
2022-11-23T01:32:33.0438536Z ok (0.023s)
2022-11-23T01:32:33.0438887Z   test_cuda_broadcast2_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0439205Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0439429Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0439683Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0439961Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0440276Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0440627Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0440952Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0441332Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0441439Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0441535Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0441615Z               4 BINARY_ADD
2022-11-23T01:32:33.0441710Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0441792Z               8 RETURN_VALUE
2022-11-23T01:32:33.0441859Z  
2022-11-23T01:32:33.0441864Z 
2022-11-23T01:32:33.0442181Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0442396Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0442685Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0442961Z [2022-11-23 01:32:21,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0443207Z [2022-11-23 01:32:21,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0443452Z [2022-11-23 01:32:21,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0443831Z [2022-11-23 01:32:21,543] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0444081Z [2022-11-23 01:32:21,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0444366Z [2022-11-23 01:32:21,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0444626Z [2022-11-23 01:32:21,544] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0444901Z [2022-11-23 01:32:21,548] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0445098Z [2022-11-23 01:32:21,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0445241Z  __compiled_fn_985 <eval_with_key>.6040 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0445338Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0445430Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0445612Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0445713Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0445718Z 
2022-11-23T01:32:33.0446054Z [2022-11-23 01:32:21,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0446155Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0446246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0446345Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0446445Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0446537Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0446634Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0446716Z              12 RETURN_VALUE
2022-11-23T01:32:33.0446721Z 
2022-11-23T01:32:33.0446787Z  
2022-11-23T01:32:33.0447106Z [2022-11-23 01:32:21,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0447224Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_985)
2022-11-23T01:32:33.0447323Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0447424Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0447508Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0447603Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0447702Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0447779Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0447872Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0447985Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0448094Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0448193Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0448274Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0448370Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0448451Z              26 RETURN_VALUE
2022-11-23T01:32:33.0448456Z 
2022-11-23T01:32:33.0448516Z  
2022-11-23T01:32:33.0448703Z [2022-11-23 01:32:21,549] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0448783Z  - 
2022-11-23T01:32:33.0448910Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0448980Z             {
2022-11-23T01:32:33.0449126Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0449320Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0449442Z                 'obj_weakref': None
2022-11-23T01:32:33.0449670Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0449741Z             }
2022-11-23T01:32:33.0449810Z             
2022-11-23T01:32:33.0449886Z  - 
2022-11-23T01:32:33.0450017Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0450086Z             {
2022-11-23T01:32:33.0450228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0450342Z                 'code': None,
2022-11-23T01:32:33.0450561Z                 'obj_weakref': <weakref at 0x7f1fd81b8040; to 'Tensor' at 0x7f1fd9b23c90>
2022-11-23T01:32:33.0450846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0450918Z             }
2022-11-23T01:32:33.0450988Z             
2022-11-23T01:32:33.0451064Z  - 
2022-11-23T01:32:33.0451185Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0451277Z             {
2022-11-23T01:32:33.0451426Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0451538Z                 'code': None,
2022-11-23T01:32:33.0451755Z                 'obj_weakref': <weakref at 0x7f1fd81b9800; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0452010Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0452079Z             }
2022-11-23T01:32:33.0452141Z             
2022-11-23T01:32:33.0452217Z  - 
2022-11-23T01:32:33.0452356Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0452442Z             {
2022-11-23T01:32:33.0452604Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0452794Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0452922Z                 'obj_weakref': None
2022-11-23T01:32:33.0453148Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0453220Z             }
2022-11-23T01:32:33.0453288Z             
2022-11-23T01:32:33.0453363Z  - 
2022-11-23T01:32:33.0453491Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0453560Z             {
2022-11-23T01:32:33.0453702Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0453916Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0454040Z                 'obj_weakref': None
2022-11-23T01:32:33.0454264Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0454333Z             }
2022-11-23T01:32:33.0454405Z             
2022-11-23T01:32:33.0454671Z [2022-11-23 01:32:21,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 967
2022-11-23T01:32:33.0454924Z [2022-11-23 01:32:21,557] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0455292Z [2022-11-23 01:32:21,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rp/crpinhw2u4gczrdtkfyqo4twhqcyzytgr3sdcf6fvldwt4nich6b.py
2022-11-23T01:32:33.0455560Z [2022-11-23 01:32:21,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 967
2022-11-23T01:32:33.0455566Z 
2022-11-23T01:32:33.0455667Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0455741Z import torch
2022-11-23T01:32:33.0455816Z import random
2022-11-23T01:32:33.0455938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0456065Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0456070Z 
2022-11-23T01:32:33.0456156Z aten = torch.ops.aten
2022-11-23T01:32:33.0456292Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0456392Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0456397Z 
2022-11-23T01:32:33.0456475Z import triton
2022-11-23T01:32:33.0463137Z import triton.language as tl
2022-11-23T01:32:33.0463297Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0463445Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0463451Z 
2022-11-23T01:32:33.0463456Z 
2022-11-23T01:32:33.0463634Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0463710Z import triton
2022-11-23T01:32:33.0463798Z import triton.language as tl
2022-11-23T01:32:33.0463917Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0464022Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0464161Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0464292Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0464371Z 
2022-11-23T01:32:33.0464765Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0464875Z @triton.jit
2022-11-23T01:32:33.0465023Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0465092Z     xnumel = 100
2022-11-23T01:32:33.0465192Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0465328Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0465413Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0465495Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0465566Z     x2 = xindex
2022-11-23T01:32:33.0465665Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0465757Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0465837Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0465979Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0466068Z ''')
2022-11-23T01:32:33.0466074Z 
2022-11-23T01:32:33.0466078Z 
2022-11-23T01:32:33.0466173Z async_compile.wait(globals())
2022-11-23T01:32:33.0466250Z del async_compile
2022-11-23T01:32:33.0466257Z 
2022-11-23T01:32:33.0466333Z def call(args):
2022-11-23T01:32:33.0466415Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0466485Z     args.clear()
2022-11-23T01:32:33.0466699Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0466791Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0466938Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0467012Z     del arg0_1
2022-11-23T01:32:33.0467086Z     del arg1_1
2022-11-23T01:32:33.0467164Z     return (buf0, )
2022-11-23T01:32:33.0467170Z 
2022-11-23T01:32:33.0467174Z 
2022-11-23T01:32:33.0467249Z if __name__ == "__main__":
2022-11-23T01:32:33.0467371Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0467501Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0467713Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0467914Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0468039Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0468044Z 
2022-11-23T01:32:33.0468116Z ok (0.026s)
2022-11-23T01:32:33.0468464Z   test_cuda_broadcast2_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0468775Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0468994Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0469252Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0469528Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0469846Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0470188Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0470606Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0471017Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0471119Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0471218Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0471290Z               4 BINARY_ADD
2022-11-23T01:32:33.0471387Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0471490Z               8 RETURN_VALUE
2022-11-23T01:32:33.0471556Z  
2022-11-23T01:32:33.0471562Z 
2022-11-23T01:32:33.0471875Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0472090Z [2022-11-23 01:32:21,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0472329Z [2022-11-23 01:32:21,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0472601Z [2022-11-23 01:32:21,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0472839Z [2022-11-23 01:32:21,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0473084Z [2022-11-23 01:32:21,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0473465Z [2022-11-23 01:32:21,570] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0473715Z [2022-11-23 01:32:21,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0473956Z [2022-11-23 01:32:21,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0474210Z [2022-11-23 01:32:21,571] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0474464Z [2022-11-23 01:32:21,573] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0474658Z [2022-11-23 01:32:21,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0474802Z  __compiled_fn_986 <eval_with_key>.6046 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0474891Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0474988Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0475169Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0475270Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0475276Z 
2022-11-23T01:32:33.0475602Z [2022-11-23 01:32:21,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0475704Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0475805Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0475901Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0475996Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0476090Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0476186Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0476267Z              12 RETURN_VALUE
2022-11-23T01:32:33.0476272Z 
2022-11-23T01:32:33.0476342Z  
2022-11-23T01:32:33.0476665Z [2022-11-23 01:32:21,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0476783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_986)
2022-11-23T01:32:33.0476881Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0476971Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0477055Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0477149Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0477245Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0477325Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0477451Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0477570Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0477672Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0477768Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0477874Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0477968Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0478048Z              26 RETURN_VALUE
2022-11-23T01:32:33.0478054Z 
2022-11-23T01:32:33.0478119Z  
2022-11-23T01:32:33.0478305Z [2022-11-23 01:32:21,574] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0478374Z  - 
2022-11-23T01:32:33.0478500Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0478570Z             {
2022-11-23T01:32:33.0478715Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0478908Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0479032Z                 'obj_weakref': None
2022-11-23T01:32:33.0479259Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0479329Z             }
2022-11-23T01:32:33.0479392Z             
2022-11-23T01:32:33.0479470Z  - 
2022-11-23T01:32:33.0479600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0479673Z             {
2022-11-23T01:32:33.0479820Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0479931Z                 'code': None,
2022-11-23T01:32:33.0480140Z                 'obj_weakref': <weakref at 0x7f1fd8cc6e30; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0480390Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0480459Z             }
2022-11-23T01:32:33.0480527Z             
2022-11-23T01:32:33.0480604Z  - 
2022-11-23T01:32:33.0480730Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0480799Z             {
2022-11-23T01:32:33.0480942Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0481052Z                 'code': None,
2022-11-23T01:32:33.0481263Z                 'obj_weakref': <weakref at 0x7f1fd813a430; to 'Tensor' at 0x7f1fd9ba4d10>
2022-11-23T01:32:33.0481515Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0481587Z             }
2022-11-23T01:32:33.0481654Z             
2022-11-23T01:32:33.0481731Z  - 
2022-11-23T01:32:33.0481859Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0481927Z             {
2022-11-23T01:32:33.0482067Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0482241Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0482375Z                 'obj_weakref': None
2022-11-23T01:32:33.0482643Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0482712Z             }
2022-11-23T01:32:33.0482775Z             
2022-11-23T01:32:33.0482851Z  - 
2022-11-23T01:32:33.0482976Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0483046Z             {
2022-11-23T01:32:33.0483184Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0483401Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0483527Z                 'obj_weakref': None
2022-11-23T01:32:33.0483742Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0483811Z             }
2022-11-23T01:32:33.0483878Z             
2022-11-23T01:32:33.0484139Z [2022-11-23 01:32:21,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 968
2022-11-23T01:32:33.0484391Z [2022-11-23 01:32:21,583] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0484780Z [2022-11-23 01:32:21,650] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mc/cmclrrkw573xhutsy44xkki3aefxrjpjuiwz3g422ulj53kzzt3k.py
2022-11-23T01:32:33.0485050Z [2022-11-23 01:32:21,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 968
2022-11-23T01:32:33.0485056Z 
2022-11-23T01:32:33.0485178Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0485253Z import torch
2022-11-23T01:32:33.0485321Z import random
2022-11-23T01:32:33.0485443Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0485570Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0485575Z 
2022-11-23T01:32:33.0485658Z aten = torch.ops.aten
2022-11-23T01:32:33.0485798Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0485896Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0485901Z 
2022-11-23T01:32:33.0485974Z import triton
2022-11-23T01:32:33.0486061Z import triton.language as tl
2022-11-23T01:32:33.0486189Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0486337Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0486342Z 
2022-11-23T01:32:33.0486347Z 
2022-11-23T01:32:33.0486503Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0486578Z import triton
2022-11-23T01:32:33.0486673Z import triton.language as tl
2022-11-23T01:32:33.0486788Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0486891Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0487021Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0487150Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0487155Z 
2022-11-23T01:32:33.0487540Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0487613Z @triton.jit
2022-11-23T01:32:33.0487762Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0487839Z     xnumel = 100
2022-11-23T01:32:33.0487937Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0488070Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0488147Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0488232Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0488304Z     x2 = xindex
2022-11-23T01:32:33.0488404Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0488502Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0488591Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.0488672Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.0488804Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0488891Z ''')
2022-11-23T01:32:33.0488897Z 
2022-11-23T01:32:33.0488901Z 
2022-11-23T01:32:33.0488997Z async_compile.wait(globals())
2022-11-23T01:32:33.0489073Z del async_compile
2022-11-23T01:32:33.0489078Z 
2022-11-23T01:32:33.0489153Z def call(args):
2022-11-23T01:32:33.0489236Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0489313Z     args.clear()
2022-11-23T01:32:33.0489519Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0489612Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0489763Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0489841Z     del arg0_1
2022-11-23T01:32:33.0489914Z     del arg1_1
2022-11-23T01:32:33.0489991Z     return (buf0, )
2022-11-23T01:32:33.0489996Z 
2022-11-23T01:32:33.0490000Z 
2022-11-23T01:32:33.0490080Z if __name__ == "__main__":
2022-11-23T01:32:33.0490202Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0490326Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0490536Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0490771Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0490895Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0490900Z 
2022-11-23T01:32:33.0490971Z ok (0.086s)
2022-11-23T01:32:33.0491320Z   test_cuda_broadcast2_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,654] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0491664Z [2022-11-23 01:32:21,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0491887Z [2022-11-23 01:32:21,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0492148Z [2022-11-23 01:32:21,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0492422Z [2022-11-23 01:32:21,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0492748Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0493144Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0493470Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0493846Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0493944Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0494043Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0494122Z               4 BINARY_ADD
2022-11-23T01:32:33.0494219Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0494298Z               8 RETURN_VALUE
2022-11-23T01:32:33.0494365Z  
2022-11-23T01:32:33.0494370Z 
2022-11-23T01:32:33.0494681Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0494901Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0495143Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0495419Z [2022-11-23 01:32:21,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0495668Z [2022-11-23 01:32:21,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0495921Z [2022-11-23 01:32:21,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0496309Z [2022-11-23 01:32:21,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0496549Z [2022-11-23 01:32:21,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0496789Z [2022-11-23 01:32:21,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0497046Z [2022-11-23 01:32:21,657] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0497296Z [2022-11-23 01:32:21,659] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0497489Z [2022-11-23 01:32:21,660] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0497633Z  __compiled_fn_987 <eval_with_key>.6052 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0497730Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0497861Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0498035Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0498136Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0498142Z 
2022-11-23T01:32:33.0498469Z [2022-11-23 01:32:21,660] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0498624Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0498722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0498997Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0499104Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0499195Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0499284Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0499365Z              12 RETURN_VALUE
2022-11-23T01:32:33.0499370Z 
2022-11-23T01:32:33.0499436Z  
2022-11-23T01:32:33.0499764Z [2022-11-23 01:32:21,660] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0499884Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_987)
2022-11-23T01:32:33.0499982Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0500083Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0500166Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0500255Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0500350Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0500430Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0500525Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0500636Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0500744Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0500839Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0500914Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0501009Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0501091Z              26 RETURN_VALUE
2022-11-23T01:32:33.0501097Z 
2022-11-23T01:32:33.0501162Z  
2022-11-23T01:32:33.0501349Z [2022-11-23 01:32:21,661] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0501426Z  - 
2022-11-23T01:32:33.0501550Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0501613Z             {
2022-11-23T01:32:33.0501758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0501948Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0502071Z                 'obj_weakref': None
2022-11-23T01:32:33.0502297Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0502366Z             }
2022-11-23T01:32:33.0502434Z             
2022-11-23T01:32:33.0502503Z  - 
2022-11-23T01:32:33.0502630Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0502702Z             {
2022-11-23T01:32:33.0502849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0502960Z                 'code': None,
2022-11-23T01:32:33.0503175Z                 'obj_weakref': <weakref at 0x7f1f25ad7830; to 'Tensor' at 0x7f1fd81a2d90>
2022-11-23T01:32:33.0503428Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0503490Z             }
2022-11-23T01:32:33.0503559Z             
2022-11-23T01:32:33.0503634Z  - 
2022-11-23T01:32:33.0503762Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0503833Z             {
2022-11-23T01:32:33.0503980Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0504092Z                 'code': None,
2022-11-23T01:32:33.0504295Z                 'obj_weakref': <weakref at 0x7f1f25940630; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0504594Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0504666Z             }
2022-11-23T01:32:33.0504736Z             
2022-11-23T01:32:33.0504813Z  - 
2022-11-23T01:32:33.0504952Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0505022Z             {
2022-11-23T01:32:33.0505185Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0505361Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0505486Z                 'obj_weakref': None
2022-11-23T01:32:33.0505716Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0505784Z             }
2022-11-23T01:32:33.0505853Z             
2022-11-23T01:32:33.0505928Z  - 
2022-11-23T01:32:33.0506047Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0506117Z             {
2022-11-23T01:32:33.0506257Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0506476Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0506599Z                 'obj_weakref': None
2022-11-23T01:32:33.0506821Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0506894Z             }
2022-11-23T01:32:33.0506957Z             
2022-11-23T01:32:33.0507222Z [2022-11-23 01:32:21,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 969
2022-11-23T01:32:33.0507476Z [2022-11-23 01:32:21,669] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0507833Z [2022-11-23 01:32:21,736] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p6/cp6rjbqzehn7gp7g3axhhgi473ylyvzh7j434h5yhtzxd6tbluou.py
2022-11-23T01:32:33.0508100Z [2022-11-23 01:32:21,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 969
2022-11-23T01:32:33.0508106Z 
2022-11-23T01:32:33.0508207Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0508287Z import torch
2022-11-23T01:32:33.0508361Z import random
2022-11-23T01:32:33.0508477Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0508604Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0508609Z 
2022-11-23T01:32:33.0508696Z aten = torch.ops.aten
2022-11-23T01:32:33.0508837Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0508935Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0508940Z 
2022-11-23T01:32:33.0509015Z import triton
2022-11-23T01:32:33.0509108Z import triton.language as tl
2022-11-23T01:32:33.0509237Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0509373Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0509379Z 
2022-11-23T01:32:33.0509390Z 
2022-11-23T01:32:33.0509539Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0509615Z import triton
2022-11-23T01:32:33.0509708Z import triton.language as tl
2022-11-23T01:32:33.0509826Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0509932Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0510069Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0510201Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0510209Z 
2022-11-23T01:32:33.0510710Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0510802Z @triton.jit
2022-11-23T01:32:33.0510950Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0511026Z     xnumel = 100
2022-11-23T01:32:33.0511125Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0511257Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0511342Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0511446Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0511526Z     x0 = xindex % 10
2022-11-23T01:32:33.0511599Z     x2 = xindex
2022-11-23T01:32:33.0511699Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0511798Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0511887Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.0511991Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0512123Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0512210Z ''')
2022-11-23T01:32:33.0512215Z 
2022-11-23T01:32:33.0512220Z 
2022-11-23T01:32:33.0512315Z async_compile.wait(globals())
2022-11-23T01:32:33.0512391Z del async_compile
2022-11-23T01:32:33.0512397Z 
2022-11-23T01:32:33.0512492Z def call(args):
2022-11-23T01:32:33.0512577Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0512669Z     args.clear()
2022-11-23T01:32:33.0512890Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0512975Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0513128Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0513201Z     del arg0_1
2022-11-23T01:32:33.0513273Z     del arg1_1
2022-11-23T01:32:33.0513349Z     return (buf0, )
2022-11-23T01:32:33.0513354Z 
2022-11-23T01:32:33.0513361Z 
2022-11-23T01:32:33.0513441Z if __name__ == "__main__":
2022-11-23T01:32:33.0513562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0513687Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0513895Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0514089Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.0514211Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0514216Z 
2022-11-23T01:32:33.0514288Z ok (0.086s)
2022-11-23T01:32:33.0514649Z   test_cuda_broadcast2_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,740] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0514967Z [2022-11-23 01:32:21,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0515188Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0515445Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0515717Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0516033Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0516377Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0516696Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0517074Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0517177Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0517275Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0517354Z               4 BINARY_ADD
2022-11-23T01:32:33.0517449Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0517524Z               8 RETURN_VALUE
2022-11-23T01:32:33.0517591Z  
2022-11-23T01:32:33.0517596Z 
2022-11-23T01:32:33.0517908Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0518154Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0518393Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0518665Z [2022-11-23 01:32:21,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0518933Z [2022-11-23 01:32:21,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0519180Z [2022-11-23 01:32:21,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0519555Z [2022-11-23 01:32:21,742] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0519803Z [2022-11-23 01:32:21,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0520034Z [2022-11-23 01:32:21,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0520290Z [2022-11-23 01:32:21,743] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0520542Z [2022-11-23 01:32:21,746] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0520737Z [2022-11-23 01:32:21,746] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0520882Z  __compiled_fn_988 <eval_with_key>.6058 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0520976Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0521067Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0521245Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0521339Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0521345Z 
2022-11-23T01:32:33.0521672Z [2022-11-23 01:32:21,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0521773Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0521871Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0521968Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0522068Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0522159Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0522254Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0522330Z              12 RETURN_VALUE
2022-11-23T01:32:33.0522335Z 
2022-11-23T01:32:33.0522400Z  
2022-11-23T01:32:33.0522722Z [2022-11-23 01:32:21,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0522840Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_988)
2022-11-23T01:32:33.0522939Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0523038Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0523120Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0523209Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0523303Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0523387Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0523482Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0523594Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0523704Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0523799Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0523873Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0523968Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0524047Z              26 RETURN_VALUE
2022-11-23T01:32:33.0524053Z 
2022-11-23T01:32:33.0524118Z  
2022-11-23T01:32:33.0524307Z [2022-11-23 01:32:21,747] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0524416Z  - 
2022-11-23T01:32:33.0524543Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0524606Z             {
2022-11-23T01:32:33.0524753Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0524946Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0525095Z                 'obj_weakref': None
2022-11-23T01:32:33.0525323Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0525391Z             }
2022-11-23T01:32:33.0525461Z             
2022-11-23T01:32:33.0525537Z  - 
2022-11-23T01:32:33.0525661Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0525730Z             {
2022-11-23T01:32:33.0525882Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0525996Z                 'code': None,
2022-11-23T01:32:33.0526212Z                 'obj_weakref': <weakref at 0x7f1fd81b9d50; to 'Tensor' at 0x7f1f25c22ca0>
2022-11-23T01:32:33.0526469Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0526541Z             }
2022-11-23T01:32:33.0526602Z             
2022-11-23T01:32:33.0526678Z  - 
2022-11-23T01:32:33.0526806Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0526881Z             {
2022-11-23T01:32:33.0527035Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0527148Z                 'code': None,
2022-11-23T01:32:33.0527356Z                 'obj_weakref': <weakref at 0x7f1f29a92660; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0527611Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0527682Z             }
2022-11-23T01:32:33.0527750Z             
2022-11-23T01:32:33.0527825Z  - 
2022-11-23T01:32:33.0527966Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0528034Z             {
2022-11-23T01:32:33.0528170Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0528345Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0528470Z                 'obj_weakref': None
2022-11-23T01:32:33.0528702Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0528773Z             }
2022-11-23T01:32:33.0528841Z             
2022-11-23T01:32:33.0528916Z  - 
2022-11-23T01:32:33.0529036Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0529105Z             {
2022-11-23T01:32:33.0529246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0529466Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0529590Z                 'obj_weakref': None
2022-11-23T01:32:33.0529815Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0529883Z             }
2022-11-23T01:32:33.0529953Z             
2022-11-23T01:32:33.0530208Z [2022-11-23 01:32:21,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 970
2022-11-23T01:32:33.0530466Z [2022-11-23 01:32:21,756] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0530833Z [2022-11-23 01:32:21,823] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nm/cnmcm57hw4tifkawaek2yadmwno56bzxvyshpgzozvqsvvodtyk2.py
2022-11-23T01:32:33.0531100Z [2022-11-23 01:32:21,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 970
2022-11-23T01:32:33.0531105Z 
2022-11-23T01:32:33.0531206Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0531280Z import torch
2022-11-23T01:32:33.0531356Z import random
2022-11-23T01:32:33.0531479Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0531600Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0531605Z 
2022-11-23T01:32:33.0531718Z aten = torch.ops.aten
2022-11-23T01:32:33.0531861Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0531960Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0531965Z 
2022-11-23T01:32:33.0532038Z import triton
2022-11-23T01:32:33.0532131Z import triton.language as tl
2022-11-23T01:32:33.0532283Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0532421Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0532434Z 
2022-11-23T01:32:33.0532438Z 
2022-11-23T01:32:33.0532587Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0532662Z import triton
2022-11-23T01:32:33.0532754Z import triton.language as tl
2022-11-23T01:32:33.0532870Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0532974Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0533111Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0533241Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0533248Z 
2022-11-23T01:32:33.0533635Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0533705Z @triton.jit
2022-11-23T01:32:33.0533850Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0533925Z     xnumel = 100
2022-11-23T01:32:33.0534023Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0534156Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0534240Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0534320Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0534390Z     x0 = xindex % 10
2022-11-23T01:32:33.0534462Z     x2 = xindex
2022-11-23T01:32:33.0534561Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.0534672Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.0534754Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0534898Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0534985Z ''')
2022-11-23T01:32:33.0534990Z 
2022-11-23T01:32:33.0534994Z 
2022-11-23T01:32:33.0535081Z async_compile.wait(globals())
2022-11-23T01:32:33.0535161Z del async_compile
2022-11-23T01:32:33.0535166Z 
2022-11-23T01:32:33.0535241Z def call(args):
2022-11-23T01:32:33.0535323Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0535399Z     args.clear()
2022-11-23T01:32:33.0535615Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0535707Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0535851Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0535918Z     del arg0_1
2022-11-23T01:32:33.0535991Z     del arg1_1
2022-11-23T01:32:33.0536067Z     return (buf0, )
2022-11-23T01:32:33.0536072Z 
2022-11-23T01:32:33.0536076Z 
2022-11-23T01:32:33.0536159Z if __name__ == "__main__":
2022-11-23T01:32:33.0536281Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0536408Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0536620Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0536820Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0536941Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0536946Z 
2022-11-23T01:32:33.0537018Z ok (0.087s)
2022-11-23T01:32:33.0537375Z   test_cuda_broadcast2_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0537691Z [2022-11-23 01:32:21,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0537944Z [2022-11-23 01:32:21,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0538199Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0538479Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0538935Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0539280Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0539594Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0539986Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0540086Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0540186Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0540269Z               4 BINARY_ADD
2022-11-23T01:32:33.0540368Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0540452Z               8 RETURN_VALUE
2022-11-23T01:32:33.0540518Z  
2022-11-23T01:32:33.0540523Z 
2022-11-23T01:32:33.0540827Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0541041Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0541287Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0541567Z [2022-11-23 01:32:21,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0541813Z [2022-11-23 01:32:21,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0542064Z [2022-11-23 01:32:21,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0542454Z [2022-11-23 01:32:21,829] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0542703Z [2022-11-23 01:32:21,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0542941Z [2022-11-23 01:32:21,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0543199Z [2022-11-23 01:32:21,830] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0543450Z [2022-11-23 01:32:21,833] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0543641Z [2022-11-23 01:32:21,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0543784Z  __compiled_fn_989 <eval_with_key>.6064 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0543881Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0543973Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0544154Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0544254Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0544260Z 
2022-11-23T01:32:33.0544582Z [2022-11-23 01:32:21,833] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0544678Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0544776Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0544871Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0545022Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0545119Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0545214Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0545297Z              12 RETURN_VALUE
2022-11-23T01:32:33.0545346Z 
2022-11-23T01:32:33.0545407Z  
2022-11-23T01:32:33.0545726Z [2022-11-23 01:32:21,833] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0545847Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_989)
2022-11-23T01:32:33.0545945Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0546042Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0546124Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0546220Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0546314Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0546392Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0546487Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0546599Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0546707Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0546805Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0546888Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0546983Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0547058Z              26 RETURN_VALUE
2022-11-23T01:32:33.0547063Z 
2022-11-23T01:32:33.0547128Z  
2022-11-23T01:32:33.0547318Z [2022-11-23 01:32:21,834] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0547395Z  - 
2022-11-23T01:32:33.0547519Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0547589Z             {
2022-11-23T01:32:33.0547734Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0547917Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0548046Z                 'obj_weakref': None
2022-11-23T01:32:33.0548274Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0548344Z             }
2022-11-23T01:32:33.0548413Z             
2022-11-23T01:32:33.0548493Z  - 
2022-11-23T01:32:33.0548622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0548685Z             {
2022-11-23T01:32:33.0548832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0548943Z                 'code': None,
2022-11-23T01:32:33.0549158Z                 'obj_weakref': <weakref at 0x7f1fd8c264d0; to 'Tensor' at 0x7f1f259ea840>
2022-11-23T01:32:33.0549410Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0549480Z             }
2022-11-23T01:32:33.0549555Z             
2022-11-23T01:32:33.0549625Z  - 
2022-11-23T01:32:33.0549752Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0549824Z             {
2022-11-23T01:32:33.0549970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0550082Z                 'code': None,
2022-11-23T01:32:33.0550366Z                 'obj_weakref': <weakref at 0x7f1f25ab3650; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0550650Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0550714Z             }
2022-11-23T01:32:33.0550785Z             
2022-11-23T01:32:33.0550862Z  - 
2022-11-23T01:32:33.0551001Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0551069Z             {
2022-11-23T01:32:33.0551210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0551388Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0551506Z                 'obj_weakref': None
2022-11-23T01:32:33.0551740Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0551844Z             }
2022-11-23T01:32:33.0551916Z             
2022-11-23T01:32:33.0551993Z  - 
2022-11-23T01:32:33.0552124Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0552194Z             {
2022-11-23T01:32:33.0552330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0552579Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0552706Z                 'obj_weakref': None
2022-11-23T01:32:33.0552933Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0553003Z             }
2022-11-23T01:32:33.0553073Z             
2022-11-23T01:32:33.0553341Z [2022-11-23 01:32:21,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 971
2022-11-23T01:32:33.0553593Z [2022-11-23 01:32:21,843] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0553959Z [2022-11-23 01:32:21,850] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fv/cfvdf7lrvuwtzlt2xzk2yplcbxepd6u4cdftdonbi5ql6vxyeh2k.py
2022-11-23T01:32:33.0554230Z [2022-11-23 01:32:21,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 971
2022-11-23T01:32:33.0554238Z 
2022-11-23T01:32:33.0554339Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0554413Z import torch
2022-11-23T01:32:33.0554489Z import random
2022-11-23T01:32:33.0554609Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0554735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0554741Z 
2022-11-23T01:32:33.0554824Z aten = torch.ops.aten
2022-11-23T01:32:33.0554957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0555058Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0555063Z 
2022-11-23T01:32:33.0555136Z import triton
2022-11-23T01:32:33.0555230Z import triton.language as tl
2022-11-23T01:32:33.0555361Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0555506Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0555511Z 
2022-11-23T01:32:33.0555515Z 
2022-11-23T01:32:33.0555673Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0555750Z import triton
2022-11-23T01:32:33.0555836Z import triton.language as tl
2022-11-23T01:32:33.0555949Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0556052Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0556186Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0556313Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0556318Z 
2022-11-23T01:32:33.0556703Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0556776Z @triton.jit
2022-11-23T01:32:33.0556922Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0556991Z     xnumel = 100
2022-11-23T01:32:33.0557089Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0557221Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0557308Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0557384Z     x0 = xindex % 10
2022-11-23T01:32:33.0557455Z     x2 = xindex
2022-11-23T01:32:33.0557547Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0557645Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.0557726Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0557863Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0557948Z ''')
2022-11-23T01:32:33.0557953Z 
2022-11-23T01:32:33.0557958Z 
2022-11-23T01:32:33.0558051Z async_compile.wait(globals())
2022-11-23T01:32:33.0558127Z del async_compile
2022-11-23T01:32:33.0558132Z 
2022-11-23T01:32:33.0558209Z def call(args):
2022-11-23T01:32:33.0558310Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0558388Z     args.clear()
2022-11-23T01:32:33.0558600Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0558693Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0558859Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0558932Z     del arg0_1
2022-11-23T01:32:33.0559004Z     del arg1_1
2022-11-23T01:32:33.0559074Z     return (buf0, )
2022-11-23T01:32:33.0559079Z 
2022-11-23T01:32:33.0559092Z 
2022-11-23T01:32:33.0559166Z if __name__ == "__main__":
2022-11-23T01:32:33.0559289Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0559418Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0559627Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0559836Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0559956Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0559961Z 
2022-11-23T01:32:33.0560033Z ok (0.027s)
2022-11-23T01:32:33.0560374Z   test_cuda_broadcast3_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0560695Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0560915Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0561172Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0561449Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0561767Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0562109Z [2022-11-23 01:32:21,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0562430Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0562807Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0562906Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0563004Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0563077Z               4 BINARY_ADD
2022-11-23T01:32:33.0563172Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0563256Z               8 RETURN_VALUE
2022-11-23T01:32:33.0563322Z  
2022-11-23T01:32:33.0563327Z 
2022-11-23T01:32:33.0563640Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0563855Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0564094Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0564364Z [2022-11-23 01:32:21,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0564600Z [2022-11-23 01:32:21,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0564848Z [2022-11-23 01:32:21,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0565251Z [2022-11-23 01:32:21,856] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0565499Z [2022-11-23 01:32:21,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0565756Z [2022-11-23 01:32:21,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0566012Z [2022-11-23 01:32:21,857] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0566264Z [2022-11-23 01:32:21,859] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0566455Z [2022-11-23 01:32:21,860] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0566597Z  __compiled_fn_990 <eval_with_key>.6070 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0566685Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0566782Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0566962Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0567063Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0567069Z 
2022-11-23T01:32:33.0567390Z [2022-11-23 01:32:21,860] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0567495Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0567591Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0567686Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0567780Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0567872Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0567966Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0568048Z              12 RETURN_VALUE
2022-11-23T01:32:33.0568053Z 
2022-11-23T01:32:33.0568119Z  
2022-11-23T01:32:33.0568441Z [2022-11-23 01:32:21,860] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0568560Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_990)
2022-11-23T01:32:33.0568651Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0568750Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0568834Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0568929Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0569022Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0569103Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0569196Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0569310Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0569414Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0569511Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0569596Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0569690Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0569772Z              26 RETURN_VALUE
2022-11-23T01:32:33.0569777Z 
2022-11-23T01:32:33.0569842Z  
2022-11-23T01:32:33.0570032Z [2022-11-23 01:32:21,861] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0570105Z  - 
2022-11-23T01:32:33.0570230Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0570299Z             {
2022-11-23T01:32:33.0570444Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0570635Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0570759Z                 'obj_weakref': None
2022-11-23T01:32:33.0570984Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0571047Z             }
2022-11-23T01:32:33.0571115Z             
2022-11-23T01:32:33.0571191Z  - 
2022-11-23T01:32:33.0571321Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0571417Z             {
2022-11-23T01:32:33.0571568Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0571679Z                 'code': None,
2022-11-23T01:32:33.0571887Z                 'obj_weakref': <weakref at 0x7f1f2599c720; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0572160Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0572229Z             }
2022-11-23T01:32:33.0572297Z             
2022-11-23T01:32:33.0572374Z  - 
2022-11-23T01:32:33.0572501Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0572570Z             {
2022-11-23T01:32:33.0572710Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0572834Z                 'code': None,
2022-11-23T01:32:33.0573084Z                 'obj_weakref': <weakref at 0x7f1f25b4e750; to 'Tensor' at 0x7f1f259ea840>
2022-11-23T01:32:33.0573338Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0573407Z             }
2022-11-23T01:32:33.0573477Z             
2022-11-23T01:32:33.0573554Z  - 
2022-11-23T01:32:33.0573684Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0573754Z             {
2022-11-23T01:32:33.0573898Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0574075Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0574199Z                 'obj_weakref': None
2022-11-23T01:32:33.0574431Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0574500Z             }
2022-11-23T01:32:33.0574562Z             
2022-11-23T01:32:33.0574638Z  - 
2022-11-23T01:32:33.0574766Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0574834Z             {
2022-11-23T01:32:33.0574977Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0575200Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0575324Z                 'obj_weakref': None
2022-11-23T01:32:33.0575542Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0575612Z             }
2022-11-23T01:32:33.0575684Z             
2022-11-23T01:32:33.0575945Z [2022-11-23 01:32:21,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 972
2022-11-23T01:32:33.0576195Z [2022-11-23 01:32:21,868] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0576556Z [2022-11-23 01:32:21,928] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck73hsffp5vqm7xrd2gdq5wfbvvsglfrpwyg6ws6ydkf3mu5ddo6.py
2022-11-23T01:32:33.0576820Z [2022-11-23 01:32:21,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 972
2022-11-23T01:32:33.0576826Z 
2022-11-23T01:32:33.0576929Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0577000Z import torch
2022-11-23T01:32:33.0577076Z import random
2022-11-23T01:32:33.0577198Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0577324Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0577330Z 
2022-11-23T01:32:33.0577417Z aten = torch.ops.aten
2022-11-23T01:32:33.0577562Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0577660Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0577665Z 
2022-11-23T01:32:33.0577740Z import triton
2022-11-23T01:32:33.0577827Z import triton.language as tl
2022-11-23T01:32:33.0577954Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0578100Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0578105Z 
2022-11-23T01:32:33.0578110Z 
2022-11-23T01:32:33.0578264Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0578341Z import triton
2022-11-23T01:32:33.0578435Z import triton.language as tl
2022-11-23T01:32:33.0578580Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0578679Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0578950Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0579084Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0579132Z 
2022-11-23T01:32:33.0579526Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0579605Z @triton.jit
2022-11-23T01:32:33.0579750Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0579827Z     xnumel = 10
2022-11-23T01:32:33.0579927Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0580053Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0580138Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0580213Z     x0 = xindex
2022-11-23T01:32:33.0580347Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0580447Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0580527Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0580673Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0580756Z ''')
2022-11-23T01:32:33.0580768Z 
2022-11-23T01:32:33.0580773Z 
2022-11-23T01:32:33.0580861Z async_compile.wait(globals())
2022-11-23T01:32:33.0580941Z del async_compile
2022-11-23T01:32:33.0580947Z 
2022-11-23T01:32:33.0581022Z def call(args):
2022-11-23T01:32:33.0581103Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0581180Z     args.clear()
2022-11-23T01:32:33.0581380Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0581473Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0581614Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0581692Z     del arg0_1
2022-11-23T01:32:33.0581765Z     del arg1_1
2022-11-23T01:32:33.0581844Z     return (buf0, )
2022-11-23T01:32:33.0581850Z 
2022-11-23T01:32:33.0581854Z 
2022-11-23T01:32:33.0581938Z if __name__ == "__main__":
2022-11-23T01:32:33.0582058Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0582194Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0582391Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0582582Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0582704Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0582710Z 
2022-11-23T01:32:33.0582797Z ok (0.078s)
2022-11-23T01:32:33.0583184Z   test_cuda_broadcast3_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0583505Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0583734Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0583990Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0584273Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0584591Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0584923Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0585279Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0585655Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0585775Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0585874Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0585954Z               4 BINARY_ADD
2022-11-23T01:32:33.0586049Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0586131Z               8 RETURN_VALUE
2022-11-23T01:32:33.0586192Z  
2022-11-23T01:32:33.0586204Z 
2022-11-23T01:32:33.0586511Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0586724Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0586966Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0587238Z [2022-11-23 01:32:21,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0587480Z [2022-11-23 01:32:21,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0587731Z [2022-11-23 01:32:21,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0588108Z [2022-11-23 01:32:21,934] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0588353Z [2022-11-23 01:32:21,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0588590Z [2022-11-23 01:32:21,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0588839Z [2022-11-23 01:32:21,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0589092Z [2022-11-23 01:32:21,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0589287Z [2022-11-23 01:32:21,938] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0589431Z  __compiled_fn_991 <eval_with_key>.6076 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0589526Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0589618Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0589800Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0589901Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0589906Z 
2022-11-23T01:32:33.0590221Z [2022-11-23 01:32:21,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0590427Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0590538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0590653Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0590755Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0590853Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0590948Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0591031Z              12 RETURN_VALUE
2022-11-23T01:32:33.0591036Z 
2022-11-23T01:32:33.0591095Z  
2022-11-23T01:32:33.0591413Z [2022-11-23 01:32:21,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0591534Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_991)
2022-11-23T01:32:33.0591631Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0591729Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0591812Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0591952Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0592045Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0592127Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0592222Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0592357Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0592468Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0592564Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0592649Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0592737Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0592819Z              26 RETURN_VALUE
2022-11-23T01:32:33.0592824Z 
2022-11-23T01:32:33.0592889Z  
2022-11-23T01:32:33.0593079Z [2022-11-23 01:32:21,939] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0593155Z  - 
2022-11-23T01:32:33.0593279Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0593350Z             {
2022-11-23T01:32:33.0593492Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0593683Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0593808Z                 'obj_weakref': None
2022-11-23T01:32:33.0594034Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0594111Z             }
2022-11-23T01:32:33.0594179Z             
2022-11-23T01:32:33.0594257Z  - 
2022-11-23T01:32:33.0594380Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0594453Z             {
2022-11-23T01:32:33.0594602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0594715Z                 'code': None,
2022-11-23T01:32:33.0594933Z                 'obj_weakref': <weakref at 0x7f201e6e0e50; to 'Tensor' at 0x7f1fd81b92b0>
2022-11-23T01:32:33.0595181Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0595256Z             }
2022-11-23T01:32:33.0595329Z             
2022-11-23T01:32:33.0595399Z  - 
2022-11-23T01:32:33.0595527Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0595597Z             {
2022-11-23T01:32:33.0595746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0595865Z                 'code': None,
2022-11-23T01:32:33.0596080Z                 'obj_weakref': <weakref at 0x7f201e3e7d30; to 'Tensor' at 0x7f1fd97ec360>
2022-11-23T01:32:33.0596330Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0596393Z             }
2022-11-23T01:32:33.0596467Z             
2022-11-23T01:32:33.0596543Z  - 
2022-11-23T01:32:33.0596681Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0596751Z             {
2022-11-23T01:32:33.0596897Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0597073Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0597193Z                 'obj_weakref': None
2022-11-23T01:32:33.0597427Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0597496Z             }
2022-11-23T01:32:33.0597566Z             
2022-11-23T01:32:33.0597645Z  - 
2022-11-23T01:32:33.0597771Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0597834Z             {
2022-11-23T01:32:33.0597975Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0598195Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0598317Z                 'obj_weakref': None
2022-11-23T01:32:33.0598540Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0598610Z             }
2022-11-23T01:32:33.0598680Z             
2022-11-23T01:32:33.0598972Z [2022-11-23 01:32:21,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 973
2022-11-23T01:32:33.0599218Z [2022-11-23 01:32:21,946] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0599571Z [2022-11-23 01:32:21,952] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3w/c3wnk56652enlfdnseyejtu6ct7uqdow3otmwyzu33dpwnr5ic4m.py
2022-11-23T01:32:33.0599863Z [2022-11-23 01:32:21,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 973
2022-11-23T01:32:33.0599869Z 
2022-11-23T01:32:33.0599970Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0600046Z import torch
2022-11-23T01:32:33.0600121Z import random
2022-11-23T01:32:33.0600244Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0600374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0600379Z 
2022-11-23T01:32:33.0600456Z aten = torch.ops.aten
2022-11-23T01:32:33.0600595Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0600696Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0600701Z 
2022-11-23T01:32:33.0600776Z import triton
2022-11-23T01:32:33.0600870Z import triton.language as tl
2022-11-23T01:32:33.0600999Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0601145Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0601153Z 
2022-11-23T01:32:33.0601157Z 
2022-11-23T01:32:33.0601313Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0601382Z import triton
2022-11-23T01:32:33.0601476Z import triton.language as tl
2022-11-23T01:32:33.0601592Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0601695Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0601831Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0601962Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0601967Z 
2022-11-23T01:32:33.0602358Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0602434Z @triton.jit
2022-11-23T01:32:33.0602574Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0602651Z     xnumel = 10
2022-11-23T01:32:33.0602750Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0602883Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0602968Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0603041Z     x0 = xindex
2022-11-23T01:32:33.0603175Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0603268Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0603350Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0603489Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0603576Z ''')
2022-11-23T01:32:33.0603581Z 
2022-11-23T01:32:33.0603586Z 
2022-11-23T01:32:33.0603683Z async_compile.wait(globals())
2022-11-23T01:32:33.0603763Z del async_compile
2022-11-23T01:32:33.0603768Z 
2022-11-23T01:32:33.0603844Z def call(args):
2022-11-23T01:32:33.0603925Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0603996Z     args.clear()
2022-11-23T01:32:33.0604212Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0604304Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0604451Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0604525Z     del arg0_1
2022-11-23T01:32:33.0604598Z     del arg1_1
2022-11-23T01:32:33.0604676Z     return (buf0, )
2022-11-23T01:32:33.0604681Z 
2022-11-23T01:32:33.0604686Z 
2022-11-23T01:32:33.0604761Z if __name__ == "__main__":
2022-11-23T01:32:33.0604880Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0605013Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0605240Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0605448Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0605570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0605575Z 
2022-11-23T01:32:33.0605679Z ok (0.024s)
2022-11-23T01:32:33.0606029Z   test_cuda_broadcast3_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0606337Z [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0606559Z [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0606814Z [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0607098Z [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0607416Z [2022-11-23 01:32:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0607757Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0608079Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0608457Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0608558Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0608659Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0608733Z               4 BINARY_ADD
2022-11-23T01:32:33.0608827Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0608911Z               8 RETURN_VALUE
2022-11-23T01:32:33.0608978Z  
2022-11-23T01:32:33.0608983Z 
2022-11-23T01:32:33.0609298Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0609510Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0609751Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0610021Z [2022-11-23 01:32:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0610257Z [2022-11-23 01:32:21,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0610505Z [2022-11-23 01:32:21,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0610884Z [2022-11-23 01:32:21,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0611131Z [2022-11-23 01:32:21,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0611366Z [2022-11-23 01:32:21,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0611623Z [2022-11-23 01:32:21,959] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0611876Z [2022-11-23 01:32:21,961] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0612069Z [2022-11-23 01:32:21,961] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0612249Z  __compiled_fn_992 <eval_with_key>.6082 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0612348Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0612436Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0612620Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0612745Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0612751Z 
2022-11-23T01:32:33.0613075Z [2022-11-23 01:32:21,962] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0613178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0613276Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0613372Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0613467Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0613562Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0613658Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0613742Z              12 RETURN_VALUE
2022-11-23T01:32:33.0613747Z 
2022-11-23T01:32:33.0613813Z  
2022-11-23T01:32:33.0614130Z [2022-11-23 01:32:21,962] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0614253Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_992)
2022-11-23T01:32:33.0614351Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0614442Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0614525Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0614624Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0614719Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0614801Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0614895Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0615010Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0615116Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0615213Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0615297Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0615393Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0615476Z              26 RETURN_VALUE
2022-11-23T01:32:33.0615487Z 
2022-11-23T01:32:33.0615554Z  
2022-11-23T01:32:33.0615746Z [2022-11-23 01:32:21,963] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0615816Z  - 
2022-11-23T01:32:33.0615942Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0616016Z             {
2022-11-23T01:32:33.0616165Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0616354Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0616483Z                 'obj_weakref': None
2022-11-23T01:32:33.0616711Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0616783Z             }
2022-11-23T01:32:33.0616848Z             
2022-11-23T01:32:33.0616925Z  - 
2022-11-23T01:32:33.0617056Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0617126Z             {
2022-11-23T01:32:33.0617274Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0617390Z                 'code': None,
2022-11-23T01:32:33.0617595Z                 'obj_weakref': <weakref at 0x7f1f29a908b0; to 'Tensor' at 0x7f2115e4e340>
2022-11-23T01:32:33.0617846Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0617918Z             }
2022-11-23T01:32:33.0617987Z             
2022-11-23T01:32:33.0618063Z  - 
2022-11-23T01:32:33.0618194Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0618263Z             {
2022-11-23T01:32:33.0618404Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0618517Z                 'code': None,
2022-11-23T01:32:33.0618765Z                 'obj_weakref': <weakref at 0x7f1fd9b22ca0; to 'Tensor' at 0x7f2151f1a980>
2022-11-23T01:32:33.0619150Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0619223Z             }
2022-11-23T01:32:33.0619292Z             
2022-11-23T01:32:33.0619419Z  - 
2022-11-23T01:32:33.0619549Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0619620Z             {
2022-11-23T01:32:33.0619764Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0619943Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0620069Z                 'obj_weakref': None
2022-11-23T01:32:33.0620308Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0620380Z             }
2022-11-23T01:32:33.0620442Z             
2022-11-23T01:32:33.0620520Z  - 
2022-11-23T01:32:33.0620647Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0620720Z             {
2022-11-23T01:32:33.0620866Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0621089Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0621214Z                 'obj_weakref': None
2022-11-23T01:32:33.0621444Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0621508Z             }
2022-11-23T01:32:33.0621578Z             
2022-11-23T01:32:33.0622058Z [2022-11-23 01:32:21,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 974
2022-11-23T01:32:33.0622353Z [2022-11-23 01:32:21,969] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0622767Z [2022-11-23 01:32:22,029] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fr/cfrhzm4lmwc5jembsdwi7ob3fuy7yfind4wco7ostwy5gmxn7zen.py
2022-11-23T01:32:33.0623041Z [2022-11-23 01:32:22,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 974
2022-11-23T01:32:33.0623047Z 
2022-11-23T01:32:33.0623148Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0623305Z import torch
2022-11-23T01:32:33.0623382Z import random
2022-11-23T01:32:33.0623506Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0623640Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0623645Z 
2022-11-23T01:32:33.0623745Z aten = torch.ops.aten
2022-11-23T01:32:33.0623902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0624022Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0624029Z 
2022-11-23T01:32:33.0624122Z import triton
2022-11-23T01:32:33.0624210Z import triton.language as tl
2022-11-23T01:32:33.0624339Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0624482Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0624488Z 
2022-11-23T01:32:33.0624493Z 
2022-11-23T01:32:33.0624665Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0624746Z import triton
2022-11-23T01:32:33.0624843Z import triton.language as tl
2022-11-23T01:32:33.0624961Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0625065Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0625201Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0625335Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0625340Z 
2022-11-23T01:32:33.0625729Z @pointwise(size_hints=[1], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0625804Z @triton.jit
2022-11-23T01:32:33.0625951Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0626027Z     xnumel = 1
2022-11-23T01:32:33.0626128Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0626360Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0626441Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0626577Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0626710Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0626814Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0626949Z     tl.store(out_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), tmp2, None)
2022-11-23T01:32:33.0627037Z ''')
2022-11-23T01:32:33.0627042Z 
2022-11-23T01:32:33.0627047Z 
2022-11-23T01:32:33.0627143Z async_compile.wait(globals())
2022-11-23T01:32:33.0627214Z del async_compile
2022-11-23T01:32:33.0627226Z 
2022-11-23T01:32:33.0627297Z def call(args):
2022-11-23T01:32:33.0627378Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0627455Z     args.clear()
2022-11-23T01:32:33.0627654Z     buf0 = empty_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0627745Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0627893Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 1, grid=grid(1), stream=stream0)
2022-11-23T01:32:33.0627969Z     del arg0_1
2022-11-23T01:32:33.0628036Z     del arg1_1
2022-11-23T01:32:33.0628114Z     return (buf0, )
2022-11-23T01:32:33.0628119Z 
2022-11-23T01:32:33.0628126Z 
2022-11-23T01:32:33.0628208Z if __name__ == "__main__":
2022-11-23T01:32:33.0628328Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0628460Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0628657Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0628850Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0628964Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0628979Z 
2022-11-23T01:32:33.0629045Z ok (0.077s)
2022-11-23T01:32:33.0629392Z   test_cuda_broadcast3_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0629709Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0629930Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0630191Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0630584Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0630921Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0631261Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0631581Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0631957Z [2022-11-23 01:32:22,033] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0632053Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0632149Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0632227Z               4 BINARY_ADD
2022-11-23T01:32:33.0632321Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0632404Z               8 RETURN_VALUE
2022-11-23T01:32:33.0632473Z  
2022-11-23T01:32:33.0632478Z 
2022-11-23T01:32:33.0632791Z [2022-11-23 01:32:22,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0633036Z [2022-11-23 01:32:22,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0633273Z [2022-11-23 01:32:22,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0633552Z [2022-11-23 01:32:22,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0633826Z [2022-11-23 01:32:22,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0634079Z [2022-11-23 01:32:22,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0634466Z [2022-11-23 01:32:22,035] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0634714Z [2022-11-23 01:32:22,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0634954Z [2022-11-23 01:32:22,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0635210Z [2022-11-23 01:32:22,036] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0635461Z [2022-11-23 01:32:22,038] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0635652Z [2022-11-23 01:32:22,038] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0635795Z  __compiled_fn_993 <eval_with_key>.6088 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0635892Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0635985Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0636167Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0636267Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0636273Z 
2022-11-23T01:32:33.0636608Z [2022-11-23 01:32:22,039] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0636710Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0636801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0636893Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0636994Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0637088Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0637182Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0637262Z              12 RETURN_VALUE
2022-11-23T01:32:33.0637267Z 
2022-11-23T01:32:33.0637333Z  
2022-11-23T01:32:33.0637654Z [2022-11-23 01:32:22,039] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0637766Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_993)
2022-11-23T01:32:33.0637861Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0637961Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0638044Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0638138Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0638232Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0638315Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0638403Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0638516Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0638627Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0638724Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0638806Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0638900Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0638980Z              26 RETURN_VALUE
2022-11-23T01:32:33.0638985Z 
2022-11-23T01:32:33.0639044Z  
2022-11-23T01:32:33.0639230Z [2022-11-23 01:32:22,039] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0639355Z  - 
2022-11-23T01:32:33.0639481Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0639553Z             {
2022-11-23T01:32:33.0639698Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0639889Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0640027Z                 'obj_weakref': None
2022-11-23T01:32:33.0640250Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0640321Z             }
2022-11-23T01:32:33.0640390Z             
2022-11-23T01:32:33.0640467Z  - 
2022-11-23T01:32:33.0640597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0640668Z             {
2022-11-23T01:32:33.0640807Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0640921Z                 'code': None,
2022-11-23T01:32:33.0641133Z                 'obj_weakref': <weakref at 0x7f1ff8143bf0; to 'Tensor' at 0x7f2115e4e340>
2022-11-23T01:32:33.0641386Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0641456Z             }
2022-11-23T01:32:33.0641526Z             
2022-11-23T01:32:33.0641602Z  - 
2022-11-23T01:32:33.0641721Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0641794Z             {
2022-11-23T01:32:33.0641941Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0642052Z                 'code': None,
2022-11-23T01:32:33.0642265Z                 'obj_weakref': <weakref at 0x7f1ffad8d350; to 'Tensor' at 0x7f2151f1a980>
2022-11-23T01:32:33.0642517Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0642587Z             }
2022-11-23T01:32:33.0642649Z             
2022-11-23T01:32:33.0642726Z  - 
2022-11-23T01:32:33.0642861Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0642932Z             {
2022-11-23T01:32:33.0643076Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0643252Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0643375Z                 'obj_weakref': None
2022-11-23T01:32:33.0643600Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0643673Z             }
2022-11-23T01:32:33.0643744Z             
2022-11-23T01:32:33.0643820Z  - 
2022-11-23T01:32:33.0643952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0644021Z             {
2022-11-23T01:32:33.0644163Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0644377Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0644501Z                 'obj_weakref': None
2022-11-23T01:32:33.0644727Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0644798Z             }
2022-11-23T01:32:33.0644870Z             
2022-11-23T01:32:33.0645140Z [2022-11-23 01:32:22,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 975
2022-11-23T01:32:33.0645393Z [2022-11-23 01:32:22,047] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0645764Z [2022-11-23 01:32:22,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kb/ckbtjywgolbq5pxukb7rxoqa422d4mwfp5mwhrddczwl5f5dotpf.py
2022-11-23T01:32:33.0646028Z [2022-11-23 01:32:22,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 975
2022-11-23T01:32:33.0646041Z 
2022-11-23T01:32:33.0646134Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0646209Z import torch
2022-11-23T01:32:33.0646286Z import random
2022-11-23T01:32:33.0646410Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0646536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0646541Z 
2022-11-23T01:32:33.0646623Z aten = torch.ops.aten
2022-11-23T01:32:33.0646800Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0646892Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0646897Z 
2022-11-23T01:32:33.0646972Z import triton
2022-11-23T01:32:33.0647065Z import triton.language as tl
2022-11-23T01:32:33.0647217Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0647360Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0647365Z 
2022-11-23T01:32:33.0647370Z 
2022-11-23T01:32:33.0647525Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0647602Z import triton
2022-11-23T01:32:33.0647696Z import triton.language as tl
2022-11-23T01:32:33.0647804Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0647907Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0648044Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0648173Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0648181Z 
2022-11-23T01:32:33.0648569Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0648646Z @triton.jit
2022-11-23T01:32:33.0648791Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0648868Z     xnumel = 100
2022-11-23T01:32:33.0648959Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0649093Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0649176Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0649247Z     x0 = xindex
2022-11-23T01:32:33.0649381Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0649479Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0649558Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0649689Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0649777Z ''')
2022-11-23T01:32:33.0649783Z 
2022-11-23T01:32:33.0649787Z 
2022-11-23T01:32:33.0649886Z async_compile.wait(globals())
2022-11-23T01:32:33.0649964Z del async_compile
2022-11-23T01:32:33.0649969Z 
2022-11-23T01:32:33.0650044Z def call(args):
2022-11-23T01:32:33.0650126Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0650203Z     args.clear()
2022-11-23T01:32:33.0650403Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0650496Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0650642Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0650715Z     del arg0_1
2022-11-23T01:32:33.0650787Z     del arg1_1
2022-11-23T01:32:33.0650862Z     return (buf0, )
2022-11-23T01:32:33.0650867Z 
2022-11-23T01:32:33.0650872Z 
2022-11-23T01:32:33.0650951Z if __name__ == "__main__":
2022-11-23T01:32:33.0651071Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0651197Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0651397Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0651601Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0651727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0651732Z 
2022-11-23T01:32:33.0651803Z ok (0.081s)
2022-11-23T01:32:33.0652154Z   test_cuda_broadcast3_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0652477Z [2022-11-23 01:32:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0652703Z [2022-11-23 01:32:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0653075Z [2022-11-23 01:32:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0653348Z [2022-11-23 01:32:22,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0653665Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0654028Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0654349Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0654729Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0654833Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0654932Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0655011Z               4 BINARY_ADD
2022-11-23T01:32:33.0655106Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0655180Z               8 RETURN_VALUE
2022-11-23T01:32:33.0655251Z  
2022-11-23T01:32:33.0655256Z 
2022-11-23T01:32:33.0655569Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0655780Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0656018Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0656288Z [2022-11-23 01:32:22,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0656534Z [2022-11-23 01:32:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0656781Z [2022-11-23 01:32:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0657158Z [2022-11-23 01:32:22,116] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0657399Z [2022-11-23 01:32:22,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0657634Z [2022-11-23 01:32:22,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0657888Z [2022-11-23 01:32:22,117] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0658138Z [2022-11-23 01:32:22,119] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0658329Z [2022-11-23 01:32:22,120] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0658471Z  __compiled_fn_994 <eval_with_key>.6094 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0658564Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0658660Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0659060Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0659204Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0659212Z 
2022-11-23T01:32:33.0659578Z [2022-11-23 01:32:22,120] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0659679Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0659782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0659875Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0659976Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0660140Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0660231Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0660313Z              12 RETURN_VALUE
2022-11-23T01:32:33.0660318Z 
2022-11-23T01:32:33.0660385Z  
2022-11-23T01:32:33.0660709Z [2022-11-23 01:32:22,120] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0660860Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_994)
2022-11-23T01:32:33.0660956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0661054Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0661138Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0661227Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0661321Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0661403Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0661497Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0661613Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0661724Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0661819Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0661893Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0661994Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0662075Z              26 RETURN_VALUE
2022-11-23T01:32:33.0662080Z 
2022-11-23T01:32:33.0662146Z  
2022-11-23T01:32:33.0662337Z [2022-11-23 01:32:22,121] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0662413Z  - 
2022-11-23T01:32:33.0662538Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0662600Z             {
2022-11-23T01:32:33.0662747Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0662941Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0663066Z                 'obj_weakref': None
2022-11-23T01:32:33.0663297Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0663366Z             }
2022-11-23T01:32:33.0663434Z             
2022-11-23T01:32:33.0663504Z  - 
2022-11-23T01:32:33.0663635Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0663704Z             {
2022-11-23T01:32:33.0663853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0663964Z                 'code': None,
2022-11-23T01:32:33.0664179Z                 'obj_weakref': <weakref at 0x7f1fd9be04a0; to 'Tensor' at 0x7f1fd8cc7240>
2022-11-23T01:32:33.0664437Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0664499Z             }
2022-11-23T01:32:33.0664567Z             
2022-11-23T01:32:33.0664643Z  - 
2022-11-23T01:32:33.0664771Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0664839Z             {
2022-11-23T01:32:33.0664986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0665101Z                 'code': None,
2022-11-23T01:32:33.0665306Z                 'obj_weakref': <weakref at 0x7f2151eeea20; to 'Tensor' at 0x7f2115e4e340>
2022-11-23T01:32:33.0665557Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0665631Z             }
2022-11-23T01:32:33.0665701Z             
2022-11-23T01:32:33.0665780Z  - 
2022-11-23T01:32:33.0665917Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0665989Z             {
2022-11-23T01:32:33.0666122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0666300Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0666427Z                 'obj_weakref': None
2022-11-23T01:32:33.0666663Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0666734Z             }
2022-11-23T01:32:33.0666805Z             
2022-11-23T01:32:33.0666881Z  - 
2022-11-23T01:32:33.0667040Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0667111Z             {
2022-11-23T01:32:33.0667255Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0667479Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0667641Z                 'obj_weakref': None
2022-11-23T01:32:33.0667870Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0667941Z             }
2022-11-23T01:32:33.0668003Z             
2022-11-23T01:32:33.0668270Z [2022-11-23 01:32:22,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 976
2022-11-23T01:32:33.0668526Z [2022-11-23 01:32:22,129] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0668898Z [2022-11-23 01:32:22,191] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chipxcs3a4udwdsyi4x6wezwi6diswfbpaeac5njji3gjc6osv5u.py
2022-11-23T01:32:33.0669167Z [2022-11-23 01:32:22,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 976
2022-11-23T01:32:33.0669173Z 
2022-11-23T01:32:33.0669272Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0669346Z import torch
2022-11-23T01:32:33.0669423Z import random
2022-11-23T01:32:33.0669539Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0669665Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0669670Z 
2022-11-23T01:32:33.0669759Z aten = torch.ops.aten
2022-11-23T01:32:33.0669901Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0670000Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0670005Z 
2022-11-23T01:32:33.0670079Z import triton
2022-11-23T01:32:33.0670172Z import triton.language as tl
2022-11-23T01:32:33.0670375Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0670516Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0670521Z 
2022-11-23T01:32:33.0670534Z 
2022-11-23T01:32:33.0670685Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0670761Z import triton
2022-11-23T01:32:33.0670855Z import triton.language as tl
2022-11-23T01:32:33.0670970Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0671075Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0671210Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0671337Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0671343Z 
2022-11-23T01:32:33.0671724Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0671797Z @triton.jit
2022-11-23T01:32:33.0671941Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0672021Z     xnumel = 100
2022-11-23T01:32:33.0672122Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0672257Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0672352Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0672429Z     x0 = xindex
2022-11-23T01:32:33.0672588Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0672690Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0672780Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.0672859Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.0672995Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0673081Z ''')
2022-11-23T01:32:33.0673087Z 
2022-11-23T01:32:33.0673092Z 
2022-11-23T01:32:33.0673186Z async_compile.wait(globals())
2022-11-23T01:32:33.0673256Z del async_compile
2022-11-23T01:32:33.0673262Z 
2022-11-23T01:32:33.0673337Z def call(args):
2022-11-23T01:32:33.0673415Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0673534Z     args.clear()
2022-11-23T01:32:33.0673742Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0673835Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0673986Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0674073Z     del arg0_1
2022-11-23T01:32:33.0674146Z     del arg1_1
2022-11-23T01:32:33.0674221Z     return (buf0, )
2022-11-23T01:32:33.0674226Z 
2022-11-23T01:32:33.0674231Z 
2022-11-23T01:32:33.0674311Z if __name__ == "__main__":
2022-11-23T01:32:33.0674429Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0674559Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0674758Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0674964Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0675079Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0675087Z 
2022-11-23T01:32:33.0675159Z ok (0.081s)
2022-11-23T01:32:33.0675507Z   test_cuda_broadcast3_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0675824Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0676043Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0676298Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0676573Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0676896Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0677237Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0677555Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0677932Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0678032Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0678130Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0678208Z               4 BINARY_ADD
2022-11-23T01:32:33.0678302Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0678382Z               8 RETURN_VALUE
2022-11-23T01:32:33.0678448Z  
2022-11-23T01:32:33.0678453Z 
2022-11-23T01:32:33.0678773Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0678982Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0679227Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0679500Z [2022-11-23 01:32:22,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0679743Z [2022-11-23 01:32:22,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0679988Z [2022-11-23 01:32:22,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0680388Z [2022-11-23 01:32:22,197] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0680638Z [2022-11-23 01:32:22,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0680873Z [2022-11-23 01:32:22,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0681148Z [2022-11-23 01:32:22,198] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0681391Z [2022-11-23 01:32:22,202] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0681586Z [2022-11-23 01:32:22,202] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0681726Z  __compiled_fn_995 <eval_with_key>.6100 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0681820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0681913Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0682094Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0682199Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0682205Z 
2022-11-23T01:32:33.0682531Z [2022-11-23 01:32:22,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0682634Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0682726Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0682841Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0682958Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0683067Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0683160Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0683242Z              12 RETURN_VALUE
2022-11-23T01:32:33.0683247Z 
2022-11-23T01:32:33.0683313Z  
2022-11-23T01:32:33.0683627Z [2022-11-23 01:32:22,203] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0683749Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_995)
2022-11-23T01:32:33.0683848Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0683945Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0684032Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0684125Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0684220Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0684294Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0684392Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0684504Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0684613Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0684708Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0684789Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0684881Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0684964Z              26 RETURN_VALUE
2022-11-23T01:32:33.0684970Z 
2022-11-23T01:32:33.0685028Z  
2022-11-23T01:32:33.0685214Z [2022-11-23 01:32:22,203] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0685288Z  - 
2022-11-23T01:32:33.0685411Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0685485Z             {
2022-11-23T01:32:33.0685628Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0685820Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0685936Z                 'obj_weakref': None
2022-11-23T01:32:33.0686162Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0686231Z             }
2022-11-23T01:32:33.0686298Z             
2022-11-23T01:32:33.0686374Z  - 
2022-11-23T01:32:33.0686504Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0686573Z             {
2022-11-23T01:32:33.0686713Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0686867Z                 'code': None,
2022-11-23T01:32:33.0687086Z                 'obj_weakref': <weakref at 0x7f1ffadb1710; to 'Tensor' at 0x7f1fd80ef0b0>
2022-11-23T01:32:33.0687338Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0687429Z             }
2022-11-23T01:32:33.0687498Z             
2022-11-23T01:32:33.0687574Z  - 
2022-11-23T01:32:33.0687695Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0687763Z             {
2022-11-23T01:32:33.0687912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0688024Z                 'code': None,
2022-11-23T01:32:33.0688233Z                 'obj_weakref': <weakref at 0x7f207274cae0; to 'Tensor' at 0x7f2151f1aa70>
2022-11-23T01:32:33.0688485Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0688555Z             }
2022-11-23T01:32:33.0688617Z             
2022-11-23T01:32:33.0688698Z  - 
2022-11-23T01:32:33.0688839Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0688908Z             {
2022-11-23T01:32:33.0689048Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0689225Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0689352Z                 'obj_weakref': None
2022-11-23T01:32:33.0689578Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0689648Z             }
2022-11-23T01:32:33.0689717Z             
2022-11-23T01:32:33.0689793Z  - 
2022-11-23T01:32:33.0689919Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0689987Z             {
2022-11-23T01:32:33.0690128Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0690342Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0690466Z                 'obj_weakref': None
2022-11-23T01:32:33.0690696Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0690764Z             }
2022-11-23T01:32:33.0690831Z             
2022-11-23T01:32:33.0691097Z [2022-11-23 01:32:22,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 977
2022-11-23T01:32:33.0691352Z [2022-11-23 01:32:22,213] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0691705Z [2022-11-23 01:32:22,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tw/ctwrr6mxq4ooe2gbrwor6fgx46danrxejdl6v5xkkmf76uma6knn.py
2022-11-23T01:32:33.0691972Z [2022-11-23 01:32:22,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 977
2022-11-23T01:32:33.0691977Z 
2022-11-23T01:32:33.0692079Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0692153Z import torch
2022-11-23T01:32:33.0692229Z import random
2022-11-23T01:32:33.0692376Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0692518Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0692525Z 
2022-11-23T01:32:33.0692626Z aten = torch.ops.aten
2022-11-23T01:32:33.0692759Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0692863Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0692868Z 
2022-11-23T01:32:33.0692942Z import triton
2022-11-23T01:32:33.0693035Z import triton.language as tl
2022-11-23T01:32:33.0693162Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0693305Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0693311Z 
2022-11-23T01:32:33.0693316Z 
2022-11-23T01:32:33.0693473Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0693547Z import triton
2022-11-23T01:32:33.0693633Z import triton.language as tl
2022-11-23T01:32:33.0693747Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0693880Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0694021Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0694150Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0694155Z 
2022-11-23T01:32:33.0694541Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0694641Z @triton.jit
2022-11-23T01:32:33.0694788Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0694856Z     xnumel = 10
2022-11-23T01:32:33.0694954Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0695088Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0695172Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0695243Z     x0 = xindex
2022-11-23T01:32:33.0695376Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0695477Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0695560Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.0695641Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0695777Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0695868Z ''')
2022-11-23T01:32:33.0695873Z 
2022-11-23T01:32:33.0695878Z 
2022-11-23T01:32:33.0695970Z async_compile.wait(globals())
2022-11-23T01:32:33.0696047Z del async_compile
2022-11-23T01:32:33.0696052Z 
2022-11-23T01:32:33.0696129Z def call(args):
2022-11-23T01:32:33.0696210Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0696280Z     args.clear()
2022-11-23T01:32:33.0696477Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0696568Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0696714Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.0696787Z     del arg0_1
2022-11-23T01:32:33.0696863Z     del arg1_1
2022-11-23T01:32:33.0696942Z     return (buf0, )
2022-11-23T01:32:33.0696947Z 
2022-11-23T01:32:33.0696952Z 
2022-11-23T01:32:33.0697026Z if __name__ == "__main__":
2022-11-23T01:32:33.0697146Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0697275Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0697474Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0697669Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.0697790Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0697795Z 
2022-11-23T01:32:33.0697866Z ok (0.092s)
2022-11-23T01:32:33.0698214Z   test_cuda_broadcast3_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0698527Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0698749Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0699238Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0699520Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0699837Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0700179Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0700496Z [2022-11-23 01:32:22,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0700931Z [2022-11-23 01:32:22,291] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0701033Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0701161Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0701233Z               4 BINARY_ADD
2022-11-23T01:32:33.0701329Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0701410Z               8 RETURN_VALUE
2022-11-23T01:32:33.0701478Z  
2022-11-23T01:32:33.0701484Z 
2022-11-23T01:32:33.0701799Z [2022-11-23 01:32:22,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0702016Z [2022-11-23 01:32:22,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0702264Z [2022-11-23 01:32:22,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0702592Z [2022-11-23 01:32:22,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0702832Z [2022-11-23 01:32:22,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0703086Z [2022-11-23 01:32:22,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0703470Z [2022-11-23 01:32:22,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0703722Z [2022-11-23 01:32:22,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0703959Z [2022-11-23 01:32:22,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0704220Z [2022-11-23 01:32:22,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0704476Z [2022-11-23 01:32:22,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0704672Z [2022-11-23 01:32:22,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0704818Z  __compiled_fn_996 <eval_with_key>.6106 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0704914Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0705001Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0705186Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0705287Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0705292Z 
2022-11-23T01:32:33.0705625Z [2022-11-23 01:32:22,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0705726Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0705827Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0705921Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0706015Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0706107Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0706207Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0706288Z              12 RETURN_VALUE
2022-11-23T01:32:33.0706293Z 
2022-11-23T01:32:33.0706360Z  
2022-11-23T01:32:33.0706682Z [2022-11-23 01:32:22,298] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0706801Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_996)
2022-11-23T01:32:33.0706898Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0706989Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0707072Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0707198Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0707295Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0707378Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0707473Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0707585Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0707710Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0707807Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0707889Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0707982Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0708062Z              26 RETURN_VALUE
2022-11-23T01:32:33.0708067Z 
2022-11-23T01:32:33.0708133Z  
2022-11-23T01:32:33.0708320Z [2022-11-23 01:32:22,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0708389Z  - 
2022-11-23T01:32:33.0708512Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0708583Z             {
2022-11-23T01:32:33.0708731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0708923Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0709047Z                 'obj_weakref': None
2022-11-23T01:32:33.0709277Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0709351Z             }
2022-11-23T01:32:33.0709412Z             
2022-11-23T01:32:33.0709488Z  - 
2022-11-23T01:32:33.0709614Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0709682Z             {
2022-11-23T01:32:33.0709831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0709941Z                 'code': None,
2022-11-23T01:32:33.0710149Z                 'obj_weakref': <weakref at 0x7f1ffad5e8e0; to 'Tensor' at 0x7f20230d7830>
2022-11-23T01:32:33.0710498Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0710585Z             }
2022-11-23T01:32:33.0710661Z             
2022-11-23T01:32:33.0710744Z  - 
2022-11-23T01:32:33.0710873Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0710947Z             {
2022-11-23T01:32:33.0711089Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0711203Z                 'code': None,
2022-11-23T01:32:33.0711421Z                 'obj_weakref': <weakref at 0x7f1f25a4ca90; to 'Tensor' at 0x7f1ffadb1df0>
2022-11-23T01:32:33.0711672Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0711741Z             }
2022-11-23T01:32:33.0711809Z             
2022-11-23T01:32:33.0711884Z  - 
2022-11-23T01:32:33.0712015Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0712084Z             {
2022-11-23T01:32:33.0712224Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0712401Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0712529Z                 'obj_weakref': None
2022-11-23T01:32:33.0712791Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0712867Z             }
2022-11-23T01:32:33.0712944Z             
2022-11-23T01:32:33.0713024Z  - 
2022-11-23T01:32:33.0713150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0713222Z             {
2022-11-23T01:32:33.0713362Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0713582Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0713706Z                 'obj_weakref': None
2022-11-23T01:32:33.0713931Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0713993Z             }
2022-11-23T01:32:33.0714063Z             
2022-11-23T01:32:33.0714330Z [2022-11-23 01:32:22,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 978
2022-11-23T01:32:33.0714618Z [2022-11-23 01:32:22,310] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0714993Z [2022-11-23 01:32:22,382] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h7/ch7speejvuqdmfbnbgusmwipprelfjzbqwtg5ki5vo3e36nlc5wd.py
2022-11-23T01:32:33.0715291Z [2022-11-23 01:32:22,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 978
2022-11-23T01:32:33.0715296Z 
2022-11-23T01:32:33.0715400Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0715476Z import torch
2022-11-23T01:32:33.0715544Z import random
2022-11-23T01:32:33.0715665Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0715792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0715798Z 
2022-11-23T01:32:33.0715881Z aten = torch.ops.aten
2022-11-23T01:32:33.0716022Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0716119Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0716124Z 
2022-11-23T01:32:33.0716201Z import triton
2022-11-23T01:32:33.0716288Z import triton.language as tl
2022-11-23T01:32:33.0716416Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0716561Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0716568Z 
2022-11-23T01:32:33.0716573Z 
2022-11-23T01:32:33.0716727Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0716802Z import triton
2022-11-23T01:32:33.0716896Z import triton.language as tl
2022-11-23T01:32:33.0717011Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0717115Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0717243Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0717372Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0717377Z 
2022-11-23T01:32:33.0717770Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0717845Z @triton.jit
2022-11-23T01:32:33.0717989Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0718065Z     xnumel = 100
2022-11-23T01:32:33.0718167Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0718300Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0718378Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0718454Z     x0 = xindex % 10
2022-11-23T01:32:33.0718537Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0718612Z     x2 = xindex
2022-11-23T01:32:33.0718747Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0718860Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.0718940Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0719071Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0719158Z ''')
2022-11-23T01:32:33.0719166Z 
2022-11-23T01:32:33.0719171Z 
2022-11-23T01:32:33.0719265Z async_compile.wait(globals())
2022-11-23T01:32:33.0719343Z del async_compile
2022-11-23T01:32:33.0719348Z 
2022-11-23T01:32:33.0719428Z def call(args):
2022-11-23T01:32:33.0719509Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0719590Z     args.clear()
2022-11-23T01:32:33.0719787Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0719879Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0720024Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0720103Z     del arg0_1
2022-11-23T01:32:33.0720175Z     del arg1_1
2022-11-23T01:32:33.0720250Z     return (buf0, )
2022-11-23T01:32:33.0720255Z 
2022-11-23T01:32:33.0720260Z 
2022-11-23T01:32:33.0720342Z if __name__ == "__main__":
2022-11-23T01:32:33.0720462Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0720584Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0720815Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0721024Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0721145Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0721175Z 
2022-11-23T01:32:33.0721249Z ok (0.098s)
2022-11-23T01:32:33.0721602Z   test_cuda_broadcast3_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0721916Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0722138Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0722421Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0722719Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0723040Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0723385Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0723706Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0724082Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0724182Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0724283Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0724363Z               4 BINARY_ADD
2022-11-23T01:32:33.0724458Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0724533Z               8 RETURN_VALUE
2022-11-23T01:32:33.0724601Z  
2022-11-23T01:32:33.0724609Z 
2022-11-23T01:32:33.0724922Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0725136Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0725375Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0725651Z [2022-11-23 01:32:22,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0725894Z [2022-11-23 01:32:22,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0726142Z [2022-11-23 01:32:22,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0726525Z [2022-11-23 01:32:22,388] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0726766Z [2022-11-23 01:32:22,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0727001Z [2022-11-23 01:32:22,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0727255Z [2022-11-23 01:32:22,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0727508Z [2022-11-23 01:32:22,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0727701Z [2022-11-23 01:32:22,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0727874Z  __compiled_fn_997 <eval_with_key>.6112 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0727971Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0728068Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0728244Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0728372Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0728378Z 
2022-11-23T01:32:33.0728704Z [2022-11-23 01:32:22,392] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0728806Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0728904Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0729001Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0729103Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0729198Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0729290Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0729373Z              12 RETURN_VALUE
2022-11-23T01:32:33.0729378Z 
2022-11-23T01:32:33.0729446Z  
2022-11-23T01:32:33.0729764Z [2022-11-23 01:32:22,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0729889Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_997)
2022-11-23T01:32:33.0729986Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0730085Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0730168Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0730256Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0730350Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0730431Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0730527Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0730640Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0730755Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0730851Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0730925Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0731019Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0731104Z              26 RETURN_VALUE
2022-11-23T01:32:33.0731109Z 
2022-11-23T01:32:33.0731175Z  
2022-11-23T01:32:33.0731363Z [2022-11-23 01:32:22,393] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0731440Z  - 
2022-11-23T01:32:33.0731563Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0731625Z             {
2022-11-23T01:32:33.0731769Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0731959Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0732083Z                 'obj_weakref': None
2022-11-23T01:32:33.0732310Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0732384Z             }
2022-11-23T01:32:33.0732458Z             
2022-11-23T01:32:33.0732545Z  - 
2022-11-23T01:32:33.0732688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0732767Z             {
2022-11-23T01:32:33.0732914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0733029Z                 'code': None,
2022-11-23T01:32:33.0733242Z                 'obj_weakref': <weakref at 0x7f1f29a91d50; to 'Tensor' at 0x7f1f25969940>
2022-11-23T01:32:33.0733492Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0733554Z             }
2022-11-23T01:32:33.0733624Z             
2022-11-23T01:32:33.0733700Z  - 
2022-11-23T01:32:33.0733832Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0733902Z             {
2022-11-23T01:32:33.0734050Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0734162Z                 'code': None,
2022-11-23T01:32:33.0734416Z                 'obj_weakref': <weakref at 0x7f1fd8138810; to 'Tensor' at 0x7f1ffad8e840>
2022-11-23T01:32:33.0734672Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0734740Z             }
2022-11-23T01:32:33.0734834Z             
2022-11-23T01:32:33.0734911Z  - 
2022-11-23T01:32:33.0735050Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0735121Z             {
2022-11-23T01:32:33.0735255Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0735434Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0735559Z                 'obj_weakref': None
2022-11-23T01:32:33.0735795Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0735865Z             }
2022-11-23T01:32:33.0735933Z             
2022-11-23T01:32:33.0736010Z  - 
2022-11-23T01:32:33.0736130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0736204Z             {
2022-11-23T01:32:33.0736346Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0736569Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0736693Z                 'obj_weakref': None
2022-11-23T01:32:33.0736922Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0736990Z             }
2022-11-23T01:32:33.0737052Z             
2022-11-23T01:32:33.0737319Z [2022-11-23 01:32:22,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 979
2022-11-23T01:32:33.0737574Z [2022-11-23 01:32:22,401] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0737943Z [2022-11-23 01:32:22,407] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3fnf6uu46wqv3c3dllasqzqqvptbyfoiffvyvhuaazgyzmv3sj.py
2022-11-23T01:32:33.0738217Z [2022-11-23 01:32:22,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 979
2022-11-23T01:32:33.0738224Z 
2022-11-23T01:32:33.0738323Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0738398Z import torch
2022-11-23T01:32:33.0738474Z import random
2022-11-23T01:32:33.0738592Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0738719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0738724Z 
2022-11-23T01:32:33.0739064Z aten = torch.ops.aten
2022-11-23T01:32:33.0739209Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0739307Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0739312Z 
2022-11-23T01:32:33.0739387Z import triton
2022-11-23T01:32:33.0739481Z import triton.language as tl
2022-11-23T01:32:33.0739608Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0739744Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0739750Z 
2022-11-23T01:32:33.0739768Z 
2022-11-23T01:32:33.0739919Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0739997Z import triton
2022-11-23T01:32:33.0740089Z import triton.language as tl
2022-11-23T01:32:33.0740205Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0740312Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0740447Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0740577Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0740583Z 
2022-11-23T01:32:33.0740963Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0741037Z @triton.jit
2022-11-23T01:32:33.0741184Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0741259Z     xnumel = 100
2022-11-23T01:32:33.0741419Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0741554Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0741641Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0741706Z     x0 = xindex
2022-11-23T01:32:33.0741839Z     tmp0 = tl.load(in_ptr0 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0741969Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0742049Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0742187Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0742276Z ''')
2022-11-23T01:32:33.0742282Z 
2022-11-23T01:32:33.0742286Z 
2022-11-23T01:32:33.0742381Z async_compile.wait(globals())
2022-11-23T01:32:33.0742458Z del async_compile
2022-11-23T01:32:33.0742463Z 
2022-11-23T01:32:33.0742532Z def call(args):
2022-11-23T01:32:33.0742612Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0742687Z     args.clear()
2022-11-23T01:32:33.0742908Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0743009Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0743175Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0743249Z     del arg0_1
2022-11-23T01:32:33.0743314Z     del arg1_1
2022-11-23T01:32:33.0743393Z     return (buf0, )
2022-11-23T01:32:33.0743399Z 
2022-11-23T01:32:33.0743403Z 
2022-11-23T01:32:33.0743484Z if __name__ == "__main__":
2022-11-23T01:32:33.0743602Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0743733Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0743931Z     arg0_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0744135Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0744256Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0744261Z 
2022-11-23T01:32:33.0744326Z ok (0.025s)
2022-11-23T01:32:33.0744669Z   test_cuda_dense_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0744986Z [2022-11-23 01:32:22,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0745209Z [2022-11-23 01:32:22,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0745468Z [2022-11-23 01:32:22,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0745744Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0746061Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0746407Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0746726Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0747111Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0747211Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0747302Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0747380Z               4 BINARY_ADD
2022-11-23T01:32:33.0747477Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0747556Z               8 RETURN_VALUE
2022-11-23T01:32:33.0747622Z  
2022-11-23T01:32:33.0747628Z 
2022-11-23T01:32:33.0747977Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0748197Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0748432Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0748732Z [2022-11-23 01:32:22,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0748980Z [2022-11-23 01:32:22,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0749226Z [2022-11-23 01:32:22,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0749611Z [2022-11-23 01:32:22,413] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0749862Z [2022-11-23 01:32:22,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0750098Z [2022-11-23 01:32:22,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0750451Z [2022-11-23 01:32:22,414] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0750737Z [2022-11-23 01:32:22,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0750933Z [2022-11-23 01:32:22,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0751067Z  __compiled_fn_998 <eval_with_key>.6118 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0751161Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0751254Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0751438Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0751538Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0751544Z 
2022-11-23T01:32:33.0751876Z [2022-11-23 01:32:22,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0751979Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0752078Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0752168Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0752269Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0752360Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0752454Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0752537Z              12 RETURN_VALUE
2022-11-23T01:32:33.0752542Z 
2022-11-23T01:32:33.0752609Z  
2022-11-23T01:32:33.0752934Z [2022-11-23 01:32:22,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0753044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_998)
2022-11-23T01:32:33.0753144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0753244Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0753328Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0753421Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0753519Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0753599Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0753686Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0753798Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0753907Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0754002Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0754085Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0754178Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0754258Z              26 RETURN_VALUE
2022-11-23T01:32:33.0754263Z 
2022-11-23T01:32:33.0754329Z  
2022-11-23T01:32:33.0754540Z [2022-11-23 01:32:22,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0754618Z  - 
2022-11-23T01:32:33.0754744Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0754815Z             {
2022-11-23T01:32:33.0754957Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0755191Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0755315Z                 'obj_weakref': None
2022-11-23T01:32:33.0755535Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0755606Z             }
2022-11-23T01:32:33.0755676Z             
2022-11-23T01:32:33.0755753Z  - 
2022-11-23T01:32:33.0755885Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0755955Z             {
2022-11-23T01:32:33.0756101Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0756206Z                 'code': None,
2022-11-23T01:32:33.0756426Z                 'obj_weakref': <weakref at 0x7f1fd813a4d0; to 'Tensor' at 0x7f1ffad8e840>
2022-11-23T01:32:33.0756680Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0756752Z             }
2022-11-23T01:32:33.0756823Z             
2022-11-23T01:32:33.0756903Z  - 
2022-11-23T01:32:33.0757029Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0757091Z             {
2022-11-23T01:32:33.0757238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0757350Z                 'code': None,
2022-11-23T01:32:33.0757561Z                 'obj_weakref': <weakref at 0x7f1f25eadda0; to 'Tensor' at 0x7f1f25969940>
2022-11-23T01:32:33.0757810Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0757879Z             }
2022-11-23T01:32:33.0757946Z             
2022-11-23T01:32:33.0758016Z  - 
2022-11-23T01:32:33.0758153Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0758224Z             {
2022-11-23T01:32:33.0758366Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0758540Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0758665Z                 'obj_weakref': None
2022-11-23T01:32:33.0758900Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0758962Z             }
2022-11-23T01:32:33.0759034Z             
2022-11-23T01:32:33.0759111Z  - 
2022-11-23T01:32:33.0759238Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0759307Z             {
2022-11-23T01:32:33.0759450Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0759671Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0759787Z                 'obj_weakref': None
2022-11-23T01:32:33.0760015Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0760087Z             }
2022-11-23T01:32:33.0760156Z             
2022-11-23T01:32:33.0760421Z [2022-11-23 01:32:22,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 980
2022-11-23T01:32:33.0760673Z [2022-11-23 01:32:22,425] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0761046Z [2022-11-23 01:32:22,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bm/cbmgqkwcwtyj2towlwu6u6zeeylx3mixsa3zxhvfzttsvevoa63u.py
2022-11-23T01:32:33.0761317Z [2022-11-23 01:32:22,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 980
2022-11-23T01:32:33.0761323Z 
2022-11-23T01:32:33.0761417Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0761492Z import torch
2022-11-23T01:32:33.0761568Z import random
2022-11-23T01:32:33.0761692Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0761819Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0761860Z 
2022-11-23T01:32:33.0761946Z aten = torch.ops.aten
2022-11-23T01:32:33.0762089Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0762180Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0762192Z 
2022-11-23T01:32:33.0762284Z import triton
2022-11-23T01:32:33.0762394Z import triton.language as tl
2022-11-23T01:32:33.0762543Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0762703Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0762708Z 
2022-11-23T01:32:33.0762713Z 
2022-11-23T01:32:33.0762870Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0762944Z import triton
2022-11-23T01:32:33.0763038Z import triton.language as tl
2022-11-23T01:32:33.0763146Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0763250Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0763386Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0763517Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0763522Z 
2022-11-23T01:32:33.0763909Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0763986Z @triton.jit
2022-11-23T01:32:33.0764132Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0764208Z     xnumel = 100
2022-11-23T01:32:33.0764300Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0764433Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0764519Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0764593Z     x2 = xindex
2022-11-23T01:32:33.0764670Z     x0 = xindex % 10
2022-11-23T01:32:33.0764768Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0764867Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0764945Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0765085Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0765172Z ''')
2022-11-23T01:32:33.0765178Z 
2022-11-23T01:32:33.0765184Z 
2022-11-23T01:32:33.0765277Z async_compile.wait(globals())
2022-11-23T01:32:33.0765358Z del async_compile
2022-11-23T01:32:33.0765363Z 
2022-11-23T01:32:33.0765438Z def call(args):
2022-11-23T01:32:33.0765518Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0765593Z     args.clear()
2022-11-23T01:32:33.0765791Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0765881Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0766026Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0766100Z     del arg0_1
2022-11-23T01:32:33.0766172Z     del arg1_1
2022-11-23T01:32:33.0766250Z     return (buf0, )
2022-11-23T01:32:33.0766256Z 
2022-11-23T01:32:33.0766260Z 
2022-11-23T01:32:33.0766344Z if __name__ == "__main__":
2022-11-23T01:32:33.0766457Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0766587Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0766793Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0766996Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0767116Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0767122Z 
2022-11-23T01:32:33.0767195Z ok (0.083s)
2022-11-23T01:32:33.0767540Z   test_cuda_dense_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0767855Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0768113Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0768363Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0768642Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0768987Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0769333Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0769654Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0770041Z [2022-11-23 01:32:22,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0770141Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0770242Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0770321Z               4 BINARY_ADD
2022-11-23T01:32:33.0770412Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0770494Z               8 RETURN_VALUE
2022-11-23T01:32:33.0770562Z  
2022-11-23T01:32:33.0770567Z 
2022-11-23T01:32:33.0770881Z [2022-11-23 01:32:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0771097Z [2022-11-23 01:32:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0771339Z [2022-11-23 01:32:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0771616Z [2022-11-23 01:32:22,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0771864Z [2022-11-23 01:32:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0772114Z [2022-11-23 01:32:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0772496Z [2022-11-23 01:32:22,497] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0772745Z [2022-11-23 01:32:22,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0773030Z [2022-11-23 01:32:22,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0773292Z [2022-11-23 01:32:22,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0773549Z [2022-11-23 01:32:22,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0773743Z [2022-11-23 01:32:22,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0773884Z  __compiled_fn_999 <eval_with_key>.6124 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0773981Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0774075Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0774251Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0774351Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0774356Z 
2022-11-23T01:32:33.0774685Z [2022-11-23 01:32:22,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0774785Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0774882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0774974Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0775141Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0775228Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0775327Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0775410Z              12 RETURN_VALUE
2022-11-23T01:32:33.0775438Z 
2022-11-23T01:32:33.0775504Z  
2022-11-23T01:32:33.0775830Z [2022-11-23 01:32:22,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0775948Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_999)
2022-11-23T01:32:33.0776044Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0776143Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0776219Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0776314Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0776408Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0776488Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0776585Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0776701Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0776810Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0776898Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0776987Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0777081Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0777160Z              26 RETURN_VALUE
2022-11-23T01:32:33.0777166Z 
2022-11-23T01:32:33.0777233Z  
2022-11-23T01:32:33.0777422Z [2022-11-23 01:32:22,501] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0777498Z  - 
2022-11-23T01:32:33.0777615Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0777686Z             {
2022-11-23T01:32:33.0777834Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0778027Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0778158Z                 'obj_weakref': None
2022-11-23T01:32:33.0778387Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0778456Z             }
2022-11-23T01:32:33.0778518Z             
2022-11-23T01:32:33.0778595Z  - 
2022-11-23T01:32:33.0778725Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0779099Z             {
2022-11-23T01:32:33.0779252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0779362Z                 'code': None,
2022-11-23T01:32:33.0779578Z                 'obj_weakref': <weakref at 0x7f1fe812c8b0; to 'Tensor' at 0x7f1fd8139760>
2022-11-23T01:32:33.0779829Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0779891Z             }
2022-11-23T01:32:33.0779959Z             
2022-11-23T01:32:33.0780038Z  - 
2022-11-23T01:32:33.0780165Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0780233Z             {
2022-11-23T01:32:33.0780383Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0780488Z                 'code': None,
2022-11-23T01:32:33.0780698Z                 'obj_weakref': <weakref at 0x7f1f25e736f0; to 'Tensor' at 0x7f2151f1abb0>
2022-11-23T01:32:33.0780952Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0781022Z             }
2022-11-23T01:32:33.0781090Z             
2022-11-23T01:32:33.0781166Z  - 
2022-11-23T01:32:33.0781302Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0781364Z             {
2022-11-23T01:32:33.0781506Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0781682Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0781805Z                 'obj_weakref': None
2022-11-23T01:32:33.0782036Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0782201Z             }
2022-11-23T01:32:33.0782272Z             
2022-11-23T01:32:33.0782342Z  - 
2022-11-23T01:32:33.0782470Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0782540Z             {
2022-11-23T01:32:33.0782683Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0782939Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0783063Z                 'obj_weakref': None
2022-11-23T01:32:33.0783291Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0783359Z             }
2022-11-23T01:32:33.0783421Z             
2022-11-23T01:32:33.0783687Z [2022-11-23 01:32:22,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 981
2022-11-23T01:32:33.0783940Z [2022-11-23 01:32:22,509] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0784309Z [2022-11-23 01:32:22,575] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ug/cug3ufaa35edkhswdpxexc4la2dv4wwimes7qsnhpqip5glozcta.py
2022-11-23T01:32:33.0784577Z [2022-11-23 01:32:22,575] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 981
2022-11-23T01:32:33.0784586Z 
2022-11-23T01:32:33.0784687Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0784763Z import torch
2022-11-23T01:32:33.0784839Z import random
2022-11-23T01:32:33.0784954Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0785080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0785085Z 
2022-11-23T01:32:33.0785170Z aten = torch.ops.aten
2022-11-23T01:32:33.0785312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0785410Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0785415Z 
2022-11-23T01:32:33.0785488Z import triton
2022-11-23T01:32:33.0785585Z import triton.language as tl
2022-11-23T01:32:33.0785708Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0785853Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0785858Z 
2022-11-23T01:32:33.0785863Z 
2022-11-23T01:32:33.0786020Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0786095Z import triton
2022-11-23T01:32:33.0786191Z import triton.language as tl
2022-11-23T01:32:33.0786307Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0786409Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0786544Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0786665Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0786670Z 
2022-11-23T01:32:33.0787056Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0787129Z @triton.jit
2022-11-23T01:32:33.0787277Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0787352Z     xnumel = 100
2022-11-23T01:32:33.0787452Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0787584Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0787673Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0787738Z     x2 = xindex
2022-11-23T01:32:33.0787819Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0787922Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0788020Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.0788099Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0788236Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0788323Z ''')
2022-11-23T01:32:33.0788328Z 
2022-11-23T01:32:33.0788333Z 
2022-11-23T01:32:33.0788420Z async_compile.wait(globals())
2022-11-23T01:32:33.0788498Z del async_compile
2022-11-23T01:32:33.0788503Z 
2022-11-23T01:32:33.0788578Z def call(args):
2022-11-23T01:32:33.0788700Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0788778Z     args.clear()
2022-11-23T01:32:33.0788996Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0789089Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0789252Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0789327Z     del arg0_1
2022-11-23T01:32:33.0789401Z     del arg1_1
2022-11-23T01:32:33.0789478Z     return (buf0, )
2022-11-23T01:32:33.0789483Z 
2022-11-23T01:32:33.0789488Z 
2022-11-23T01:32:33.0789568Z if __name__ == "__main__":
2022-11-23T01:32:33.0789688Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0789819Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0790025Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0790225Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0790472Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0790478Z 
2022-11-23T01:32:33.0790550Z ok (0.084s)
2022-11-23T01:32:33.0790897Z   test_cuda_dense_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0791218Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0791438Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0791694Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0791974Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0792295Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0792636Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0792953Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0793328Z [2022-11-23 01:32:22,579] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0793426Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0793524Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0793602Z               4 BINARY_ADD
2022-11-23T01:32:33.0793696Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0793782Z               8 RETURN_VALUE
2022-11-23T01:32:33.0793848Z  
2022-11-23T01:32:33.0793853Z 
2022-11-23T01:32:33.0794157Z [2022-11-23 01:32:22,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0794372Z [2022-11-23 01:32:22,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0794615Z [2022-11-23 01:32:22,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0794890Z [2022-11-23 01:32:22,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0795134Z [2022-11-23 01:32:22,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0795384Z [2022-11-23 01:32:22,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0795808Z [2022-11-23 01:32:22,581] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0796059Z [2022-11-23 01:32:22,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0796320Z [2022-11-23 01:32:22,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0796579Z [2022-11-23 01:32:22,582] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0796823Z [2022-11-23 01:32:22,585] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0797015Z [2022-11-23 01:32:22,585] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0797159Z  __compiled_fn_1000 <eval_with_key>.6130 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0797253Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0797346Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0797531Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0797635Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0797641Z 
2022-11-23T01:32:33.0797965Z [2022-11-23 01:32:22,586] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0798063Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0798161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0798261Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0798360Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0798454Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0798552Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0798633Z              12 RETURN_VALUE
2022-11-23T01:32:33.0798638Z 
2022-11-23T01:32:33.0798697Z  
2022-11-23T01:32:33.0799017Z [2022-11-23 01:32:22,586] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0799136Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1000)
2022-11-23T01:32:33.0799232Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0799335Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0799418Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0799515Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0799609Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0799684Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0799779Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0799895Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0800005Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0800103Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0800186Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0800282Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0800357Z              26 RETURN_VALUE
2022-11-23T01:32:33.0800363Z 
2022-11-23T01:32:33.0800430Z  
2022-11-23T01:32:33.0800618Z [2022-11-23 01:32:22,587] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0800701Z  - 
2022-11-23T01:32:33.0800825Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0800896Z             {
2022-11-23T01:32:33.0801045Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0801227Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0801357Z                 'obj_weakref': None
2022-11-23T01:32:33.0801591Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0801664Z             }
2022-11-23T01:32:33.0801738Z             
2022-11-23T01:32:33.0801818Z  - 
2022-11-23T01:32:33.0801947Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0802009Z             {
2022-11-23T01:32:33.0802292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0802430Z                 'code': None,
2022-11-23T01:32:33.0802670Z                 'obj_weakref': <weakref at 0x7f1f25e70040; to 'Tensor' at 0x7f2151f1ac00>
2022-11-23T01:32:33.0802953Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0803024Z             }
2022-11-23T01:32:33.0803097Z             
2022-11-23T01:32:33.0803167Z  - 
2022-11-23T01:32:33.0803300Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0803371Z             {
2022-11-23T01:32:33.0803522Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0803640Z                 'code': None,
2022-11-23T01:32:33.0803859Z                 'obj_weakref': <weakref at 0x7f1fd9aa9710; to 'Tensor' at 0x7f1ffad8e840>
2022-11-23T01:32:33.0804114Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0804179Z             }
2022-11-23T01:32:33.0804247Z             
2022-11-23T01:32:33.0804328Z  - 
2022-11-23T01:32:33.0804467Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0804538Z             {
2022-11-23T01:32:33.0804682Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0804865Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0804981Z                 'obj_weakref': None
2022-11-23T01:32:33.0805216Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0805290Z             }
2022-11-23T01:32:33.0805363Z             
2022-11-23T01:32:33.0805444Z  - 
2022-11-23T01:32:33.0805575Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0805648Z             {
2022-11-23T01:32:33.0805782Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0806013Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0806142Z                 'obj_weakref': None
2022-11-23T01:32:33.0806369Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0806443Z             }
2022-11-23T01:32:33.0814429Z             
2022-11-23T01:32:33.0814788Z [2022-11-23 01:32:22,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 982
2022-11-23T01:32:33.0815034Z [2022-11-23 01:32:22,594] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0815404Z [2022-11-23 01:32:22,656] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/np/cnpvbcismjeegccxlamcfztz2jczhoyiq2ridwsdhfbjavsbiaex.py
2022-11-23T01:32:33.0815672Z [2022-11-23 01:32:22,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 982
2022-11-23T01:32:33.0815678Z 
2022-11-23T01:32:33.0815781Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0815858Z import torch
2022-11-23T01:32:33.0815936Z import random
2022-11-23T01:32:33.0816062Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0816190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0816195Z 
2022-11-23T01:32:33.0816281Z aten = torch.ops.aten
2022-11-23T01:32:33.0816416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0816517Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0816522Z 
2022-11-23T01:32:33.0816602Z import triton
2022-11-23T01:32:33.0816698Z import triton.language as tl
2022-11-23T01:32:33.0816827Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0816972Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0816978Z 
2022-11-23T01:32:33.0816982Z 
2022-11-23T01:32:33.0817142Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0817221Z import triton
2022-11-23T01:32:33.0817307Z import triton.language as tl
2022-11-23T01:32:33.0817518Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0817627Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0817766Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0817894Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0817938Z 
2022-11-23T01:32:33.0818330Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0818405Z @triton.jit
2022-11-23T01:32:33.0818543Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0818623Z     xnumel = 100
2022-11-23T01:32:33.0818722Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0819261Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0819349Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0819421Z     x0 = xindex
2022-11-23T01:32:33.0819526Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0819654Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.0819736Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0819874Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0819968Z ''')
2022-11-23T01:32:33.0819974Z 
2022-11-23T01:32:33.0819978Z 
2022-11-23T01:32:33.0820075Z async_compile.wait(globals())
2022-11-23T01:32:33.0820155Z del async_compile
2022-11-23T01:32:33.0820160Z 
2022-11-23T01:32:33.0820237Z def call(args):
2022-11-23T01:32:33.0820321Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0820390Z     args.clear()
2022-11-23T01:32:33.0820599Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0820691Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0820838Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0820912Z     del arg0_1
2022-11-23T01:32:33.0820990Z     del arg1_1
2022-11-23T01:32:33.0821068Z     return (buf0, )
2022-11-23T01:32:33.0821073Z 
2022-11-23T01:32:33.0821077Z 
2022-11-23T01:32:33.0821158Z if __name__ == "__main__":
2022-11-23T01:32:33.0821271Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0821405Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0821612Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0821809Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0821930Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0821936Z 
2022-11-23T01:32:33.0822008Z ok (0.081s)
2022-11-23T01:32:33.0822346Z   test_cuda_dense_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0822666Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0822879Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0823135Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0823414Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0823732Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0824071Z [2022-11-23 01:32:22,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0824516Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0824896Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0825032Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0825130Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0825209Z               4 BINARY_ADD
2022-11-23T01:32:33.0825296Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0825379Z               8 RETURN_VALUE
2022-11-23T01:32:33.0825445Z  
2022-11-23T01:32:33.0825450Z 
2022-11-23T01:32:33.0825761Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0825979Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0826231Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0826507Z [2022-11-23 01:32:22,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0826759Z [2022-11-23 01:32:22,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0827003Z [2022-11-23 01:32:22,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0827388Z [2022-11-23 01:32:22,662] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0827637Z [2022-11-23 01:32:22,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0827874Z [2022-11-23 01:32:22,662] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0828132Z [2022-11-23 01:32:22,663] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0828382Z [2022-11-23 01:32:22,665] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0828576Z [2022-11-23 01:32:22,665] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0828723Z  __compiled_fn_1001 <eval_with_key>.6136 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0828819Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0828905Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0829085Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0829187Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0829192Z 
2022-11-23T01:32:33.0829520Z [2022-11-23 01:32:22,666] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0829624Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0829723Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0829818Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0829919Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0830004Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0830102Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0830185Z              12 RETURN_VALUE
2022-11-23T01:32:33.0830190Z 
2022-11-23T01:32:33.0830421Z  
2022-11-23T01:32:33.0830788Z [2022-11-23 01:32:22,666] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0830923Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1001)
2022-11-23T01:32:33.0831034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0831456Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0831550Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0831687Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0831789Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0831870Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0831965Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0832081Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0832225Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0832315Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0832398Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0832496Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0832576Z              26 RETURN_VALUE
2022-11-23T01:32:33.0832581Z 
2022-11-23T01:32:33.0832646Z  
2022-11-23T01:32:33.0832840Z [2022-11-23 01:32:22,667] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0832918Z  - 
2022-11-23T01:32:33.0833035Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0833105Z             {
2022-11-23T01:32:33.0833253Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0833444Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0833571Z                 'obj_weakref': None
2022-11-23T01:32:33.0833795Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0833867Z             }
2022-11-23T01:32:33.0833928Z             
2022-11-23T01:32:33.0834003Z  - 
2022-11-23T01:32:33.0834133Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0834201Z             {
2022-11-23T01:32:33.0834345Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0834457Z                 'code': None,
2022-11-23T01:32:33.0834671Z                 'obj_weakref': <weakref at 0x7f201e6e30b0; to 'Tensor' at 0x7f1fd9aabbf0>
2022-11-23T01:32:33.0834913Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0834982Z             }
2022-11-23T01:32:33.0835057Z             
2022-11-23T01:32:33.0835131Z  - 
2022-11-23T01:32:33.0835258Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0835325Z             {
2022-11-23T01:32:33.0835472Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0835578Z                 'code': None,
2022-11-23T01:32:33.0835792Z                 'obj_weakref': <weakref at 0x7f1fead4fbf0; to 'Tensor' at 0x7f1fd9aa8540>
2022-11-23T01:32:33.0836042Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0836110Z             }
2022-11-23T01:32:33.0836177Z             
2022-11-23T01:32:33.0836252Z  - 
2022-11-23T01:32:33.0836387Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0836448Z             {
2022-11-23T01:32:33.0836590Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0836767Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0836891Z                 'obj_weakref': None
2022-11-23T01:32:33.0837122Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0837189Z             }
2022-11-23T01:32:33.0837256Z             
2022-11-23T01:32:33.0837324Z  - 
2022-11-23T01:32:33.0837452Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0837521Z             {
2022-11-23T01:32:33.0837665Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0837881Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0838003Z                 'obj_weakref': None
2022-11-23T01:32:33.0838226Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0838287Z             }
2022-11-23T01:32:33.0838355Z             
2022-11-23T01:32:33.0838621Z [2022-11-23 01:32:22,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 983
2022-11-23T01:32:33.0838923Z [2022-11-23 01:32:22,674] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0839291Z [2022-11-23 01:32:22,736] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3cgl2xjl5m3uwzzmx6k4qmvnozv2syyrdxige4zhlgxpzvyezo.py
2022-11-23T01:32:33.0839584Z [2022-11-23 01:32:22,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 983
2022-11-23T01:32:33.0839590Z 
2022-11-23T01:32:33.0839691Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0839764Z import torch
2022-11-23T01:32:33.0839832Z import random
2022-11-23T01:32:33.0839955Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0840081Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0840086Z 
2022-11-23T01:32:33.0840168Z aten = torch.ops.aten
2022-11-23T01:32:33.0840307Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0840404Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0840412Z 
2022-11-23T01:32:33.0840485Z import triton
2022-11-23T01:32:33.0840579Z import triton.language as tl
2022-11-23T01:32:33.0840700Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0840843Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0840851Z 
2022-11-23T01:32:33.0840856Z 
2022-11-23T01:32:33.0841013Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0841088Z import triton
2022-11-23T01:32:33.0841180Z import triton.language as tl
2022-11-23T01:32:33.0841295Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0841397Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0841525Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0841652Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0841658Z 
2022-11-23T01:32:33.0842047Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0842121Z @triton.jit
2022-11-23T01:32:33.0842266Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0842341Z     xnumel = 100
2022-11-23T01:32:33.0842446Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0842577Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0842654Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0842726Z     x0 = xindex
2022-11-23T01:32:33.0842827Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0842939Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0843027Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0843190Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0843277Z ''')
2022-11-23T01:32:33.0843282Z 
2022-11-23T01:32:33.0843287Z 
2022-11-23T01:32:33.0843379Z async_compile.wait(globals())
2022-11-23T01:32:33.0843451Z del async_compile
2022-11-23T01:32:33.0843457Z 
2022-11-23T01:32:33.0843531Z def call(args):
2022-11-23T01:32:33.0843611Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0843686Z     args.clear()
2022-11-23T01:32:33.0843890Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0843983Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0844130Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0844197Z     del arg0_1
2022-11-23T01:32:33.0844268Z     del arg1_1
2022-11-23T01:32:33.0844343Z     return (buf0, )
2022-11-23T01:32:33.0844348Z 
2022-11-23T01:32:33.0844353Z 
2022-11-23T01:32:33.0844432Z if __name__ == "__main__":
2022-11-23T01:32:33.0844552Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0844683Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0844887Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0845117Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0845234Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0845239Z 
2022-11-23T01:32:33.0845312Z ok (0.080s)
2022-11-23T01:32:33.0845676Z   test_cuda_dense_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0845990Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0846216Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0846470Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0846750Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0847069Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0847408Z [2022-11-23 01:32:22,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0847721Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0848102Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0848204Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0848302Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0848382Z               4 BINARY_ADD
2022-11-23T01:32:33.0848480Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0848563Z               8 RETURN_VALUE
2022-11-23T01:32:33.0848628Z  
2022-11-23T01:32:33.0848633Z 
2022-11-23T01:32:33.0848946Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0849155Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0849398Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0849670Z [2022-11-23 01:32:22,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0849913Z [2022-11-23 01:32:22,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0850160Z [2022-11-23 01:32:22,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0850538Z [2022-11-23 01:32:22,742] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0850783Z [2022-11-23 01:32:22,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0851020Z [2022-11-23 01:32:22,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0851275Z [2022-11-23 01:32:22,743] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0851521Z [2022-11-23 01:32:22,745] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0851711Z [2022-11-23 01:32:22,746] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0851857Z  __compiled_fn_1002 <eval_with_key>.6142 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0851978Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0852074Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0852255Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0852354Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0852384Z 
2022-11-23T01:32:33.0852710Z [2022-11-23 01:32:22,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0852804Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0852903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0852997Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0853098Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0853190Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0853285Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0853365Z              12 RETURN_VALUE
2022-11-23T01:32:33.0853370Z 
2022-11-23T01:32:33.0853437Z  
2022-11-23T01:32:33.0853745Z [2022-11-23 01:32:22,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0853863Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1002)
2022-11-23T01:32:33.0853963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0854061Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0854144Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0854239Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0854331Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0854405Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0854500Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0854613Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0854720Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0854820Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0854901Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0854996Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0855070Z              26 RETURN_VALUE
2022-11-23T01:32:33.0855082Z 
2022-11-23T01:32:33.0855143Z  
2022-11-23T01:32:33.0855331Z [2022-11-23 01:32:22,747] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0855406Z  - 
2022-11-23T01:32:33.0855531Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0855599Z             {
2022-11-23T01:32:33.0855744Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0855927Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0856050Z                 'obj_weakref': None
2022-11-23T01:32:33.0856275Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0856345Z             }
2022-11-23T01:32:33.0856417Z             
2022-11-23T01:32:33.0856492Z  - 
2022-11-23T01:32:33.0856622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0856684Z             {
2022-11-23T01:32:33.0856833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0856945Z                 'code': None,
2022-11-23T01:32:33.0857157Z                 'obj_weakref': <weakref at 0x7f1f25f10040; to 'Tensor' at 0x7f1f2596a390>
2022-11-23T01:32:33.0857413Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0857481Z             }
2022-11-23T01:32:33.0857550Z             
2022-11-23T01:32:33.0857619Z  - 
2022-11-23T01:32:33.0857746Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0857814Z             {
2022-11-23T01:32:33.0857960Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0858071Z                 'code': None,
2022-11-23T01:32:33.0858283Z                 'obj_weakref': <weakref at 0x7f1f25eafba0; to 'Tensor' at 0x7f2151f1aca0>
2022-11-23T01:32:33.0858561Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0858630Z             }
2022-11-23T01:32:33.0858692Z             
2022-11-23T01:32:33.0858768Z  - 
2022-11-23T01:32:33.0859037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0859170Z             {
2022-11-23T01:32:33.0859317Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0859498Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0859615Z                 'obj_weakref': None
2022-11-23T01:32:33.0859851Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0859919Z             }
2022-11-23T01:32:33.0859987Z             
2022-11-23T01:32:33.0860062Z  - 
2022-11-23T01:32:33.0860190Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0860258Z             {
2022-11-23T01:32:33.0860392Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0860616Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0860741Z                 'obj_weakref': None
2022-11-23T01:32:33.0860970Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0861040Z             }
2022-11-23T01:32:33.0861107Z             
2022-11-23T01:32:33.0861372Z [2022-11-23 01:32:22,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 984
2022-11-23T01:32:33.0861623Z [2022-11-23 01:32:22,754] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0861982Z [2022-11-23 01:32:22,817] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jz/cjz6jnqzmxrw4pb7bnttsn7yuaksi2mz6lg5xpfsuqmjjmymgyhi.py
2022-11-23T01:32:33.0862249Z [2022-11-23 01:32:22,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 984
2022-11-23T01:32:33.0862258Z 
2022-11-23T01:32:33.0862373Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0862457Z import torch
2022-11-23T01:32:33.0862541Z import random
2022-11-23T01:32:33.0862677Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0862802Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0862810Z 
2022-11-23T01:32:33.0862893Z aten = torch.ops.aten
2022-11-23T01:32:33.0863025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0863124Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0863129Z 
2022-11-23T01:32:33.0863203Z import triton
2022-11-23T01:32:33.0863296Z import triton.language as tl
2022-11-23T01:32:33.0863422Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0863566Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0863572Z 
2022-11-23T01:32:33.0863576Z 
2022-11-23T01:32:33.0863731Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0863809Z import triton
2022-11-23T01:32:33.0863894Z import triton.language as tl
2022-11-23T01:32:33.0864009Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0864118Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0864254Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0864389Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0864394Z 
2022-11-23T01:32:33.0864781Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0864855Z @triton.jit
2022-11-23T01:32:33.0865001Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0865068Z     xnumel = 100
2022-11-23T01:32:33.0865165Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0865297Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0865420Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0865496Z     x0 = xindex
2022-11-23T01:32:33.0865596Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.0865694Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0865776Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.0865878Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.0866017Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0866104Z ''')
2022-11-23T01:32:33.0866109Z 
2022-11-23T01:32:33.0866113Z 
2022-11-23T01:32:33.0866207Z async_compile.wait(globals())
2022-11-23T01:32:33.0866283Z del async_compile
2022-11-23T01:32:33.0866289Z 
2022-11-23T01:32:33.0866364Z def call(args):
2022-11-23T01:32:33.0866436Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0866511Z     args.clear()
2022-11-23T01:32:33.0866716Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0866806Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0866957Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0867031Z     del arg0_1
2022-11-23T01:32:33.0867103Z     del arg1_1
2022-11-23T01:32:33.0867171Z     return (buf0, )
2022-11-23T01:32:33.0867184Z 
2022-11-23T01:32:33.0867191Z 
2022-11-23T01:32:33.0867264Z if __name__ == "__main__":
2022-11-23T01:32:33.0867383Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0867514Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0867716Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0867922Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0868042Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0868047Z 
2022-11-23T01:32:33.0868118Z ok (0.081s)
2022-11-23T01:32:33.0868453Z   test_cuda_dense_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0868759Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0868981Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0869237Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0869516Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0869834Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0870172Z [2022-11-23 01:32:22,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0870594Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0870997Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0871098Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0871196Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0871268Z               4 BINARY_ADD
2022-11-23T01:32:33.0871362Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0871442Z               8 RETURN_VALUE
2022-11-23T01:32:33.0871508Z  
2022-11-23T01:32:33.0871513Z 
2022-11-23T01:32:33.0871826Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0872088Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0872333Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0872610Z [2022-11-23 01:32:22,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0872870Z [2022-11-23 01:32:22,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0873120Z [2022-11-23 01:32:22,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0873503Z [2022-11-23 01:32:22,823] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0873749Z [2022-11-23 01:32:22,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0873990Z [2022-11-23 01:32:22,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0874246Z [2022-11-23 01:32:22,824] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0874495Z [2022-11-23 01:32:22,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0874693Z [2022-11-23 01:32:22,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0874836Z  __compiled_fn_1003 <eval_with_key>.6148 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0874923Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0875016Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0875194Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0875294Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0875300Z 
2022-11-23T01:32:33.0875625Z [2022-11-23 01:32:22,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0875726Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0875824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0875917Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0876014Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0876105Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0876203Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0876285Z              12 RETURN_VALUE
2022-11-23T01:32:33.0876290Z 
2022-11-23T01:32:33.0876354Z  
2022-11-23T01:32:33.0876674Z [2022-11-23 01:32:22,827] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0876795Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1003)
2022-11-23T01:32:33.0876891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0876983Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0877064Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0877157Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0877252Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0877334Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0877428Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0877540Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0877642Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0877736Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0877816Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0877909Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0877990Z              26 RETURN_VALUE
2022-11-23T01:32:33.0877995Z 
2022-11-23T01:32:33.0878059Z  
2022-11-23T01:32:33.0878245Z [2022-11-23 01:32:22,828] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0878350Z  - 
2022-11-23T01:32:33.0878476Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0878545Z             {
2022-11-23T01:32:33.0878694Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0878884Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0879030Z                 'obj_weakref': None
2022-11-23T01:32:33.0879254Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0879316Z             }
2022-11-23T01:32:33.0879384Z             
2022-11-23T01:32:33.0879461Z  - 
2022-11-23T01:32:33.0879589Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0879657Z             {
2022-11-23T01:32:33.0879805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0879916Z                 'code': None,
2022-11-23T01:32:33.0880121Z                 'obj_weakref': <weakref at 0x7f1f361068e0; to 'Tensor' at 0x7f1fd83733d0>
2022-11-23T01:32:33.0880372Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0880440Z             }
2022-11-23T01:32:33.0880509Z             
2022-11-23T01:32:33.0880586Z  - 
2022-11-23T01:32:33.0880711Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0880788Z             {
2022-11-23T01:32:33.0880928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0881039Z                 'code': None,
2022-11-23T01:32:33.0881247Z                 'obj_weakref': <weakref at 0x7f1f36107380; to 'Tensor' at 0x7f1f25ef5760>
2022-11-23T01:32:33.0881497Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0881566Z             }
2022-11-23T01:32:33.0881634Z             
2022-11-23T01:32:33.0881708Z  - 
2022-11-23T01:32:33.0881837Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0881905Z             {
2022-11-23T01:32:33.0882047Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0882222Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0882346Z                 'obj_weakref': None
2022-11-23T01:32:33.0882609Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0882696Z             }
2022-11-23T01:32:33.0882758Z             
2022-11-23T01:32:33.0882836Z  - 
2022-11-23T01:32:33.0882961Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0883029Z             {
2022-11-23T01:32:33.0883171Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0883392Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0883515Z                 'obj_weakref': None
2022-11-23T01:32:33.0883732Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0883799Z             }
2022-11-23T01:32:33.0883866Z             
2022-11-23T01:32:33.0884134Z [2022-11-23 01:32:22,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 985
2022-11-23T01:32:33.0884385Z [2022-11-23 01:32:22,836] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0884760Z [2022-11-23 01:32:22,901] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pg/cpgbaebknjwkxtixwjlsumyytfjtolrvuj4b74icdtn6wnoc5h6w.py
2022-11-23T01:32:33.0885031Z [2022-11-23 01:32:22,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 985
2022-11-23T01:32:33.0885036Z 
2022-11-23T01:32:33.0885138Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0885205Z import torch
2022-11-23T01:32:33.0885281Z import random
2022-11-23T01:32:33.0885404Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0885528Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0885533Z 
2022-11-23T01:32:33.0885617Z aten = torch.ops.aten
2022-11-23T01:32:33.0885797Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0885896Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0885901Z 
2022-11-23T01:32:33.0885975Z import triton
2022-11-23T01:32:33.0886060Z import triton.language as tl
2022-11-23T01:32:33.0886212Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0886354Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0886359Z 
2022-11-23T01:32:33.0886364Z 
2022-11-23T01:32:33.0886520Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0886594Z import triton
2022-11-23T01:32:33.0886688Z import triton.language as tl
2022-11-23T01:32:33.0886802Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0886898Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0887035Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0887162Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0887171Z 
2022-11-23T01:32:33.0887556Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0887634Z @triton.jit
2022-11-23T01:32:33.0887779Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0887854Z     xnumel = 100
2022-11-23T01:32:33.0887953Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0888079Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0888165Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0888236Z     x2 = xindex
2022-11-23T01:32:33.0888311Z     x0 = xindex % 10
2022-11-23T01:32:33.0888411Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0888506Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0888596Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.0888668Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0888810Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0888897Z ''')
2022-11-23T01:32:33.0888903Z 
2022-11-23T01:32:33.0888908Z 
2022-11-23T01:32:33.0889001Z async_compile.wait(globals())
2022-11-23T01:32:33.0889077Z del async_compile
2022-11-23T01:32:33.0889086Z 
2022-11-23T01:32:33.0889162Z def call(args):
2022-11-23T01:32:33.0889241Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0889317Z     args.clear()
2022-11-23T01:32:33.0889513Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0889608Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0889755Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0889828Z     del arg0_1
2022-11-23T01:32:33.0889899Z     del arg1_1
2022-11-23T01:32:33.0889975Z     return (buf0, )
2022-11-23T01:32:33.0889980Z 
2022-11-23T01:32:33.0889985Z 
2022-11-23T01:32:33.0890064Z if __name__ == "__main__":
2022-11-23T01:32:33.0890179Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0890308Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0890512Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0890706Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.0890826Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0890832Z 
2022-11-23T01:32:33.0890904Z ok (0.084s)
2022-11-23T01:32:33.0891245Z   test_cuda_dense_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,905] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0891556Z [2022-11-23 01:32:22,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0891778Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0892074Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0892360Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0892748Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0893093Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0893412Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0893791Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0893891Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0893988Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0894067Z               4 BINARY_ADD
2022-11-23T01:32:33.0894157Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0894238Z               8 RETURN_VALUE
2022-11-23T01:32:33.0894304Z  
2022-11-23T01:32:33.0894309Z 
2022-11-23T01:32:33.0894620Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0894832Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0895075Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0895351Z [2022-11-23 01:32:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0895599Z [2022-11-23 01:32:22,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0895848Z [2022-11-23 01:32:22,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0896221Z [2022-11-23 01:32:22,907] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0896465Z [2022-11-23 01:32:22,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0896703Z [2022-11-23 01:32:22,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0896959Z [2022-11-23 01:32:22,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0897217Z [2022-11-23 01:32:22,911] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0897412Z [2022-11-23 01:32:22,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0897555Z  __compiled_fn_1004 <eval_with_key>.6154 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0897650Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0897745Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0897922Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0898021Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0898027Z 
2022-11-23T01:32:33.0898355Z [2022-11-23 01:32:22,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0898456Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0898552Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0898646Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0898775Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0899006Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0899095Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0899177Z              12 RETURN_VALUE
2022-11-23T01:32:33.0899183Z 
2022-11-23T01:32:33.0899297Z  
2022-11-23T01:32:33.0899627Z [2022-11-23 01:32:22,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0899746Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1004)
2022-11-23T01:32:33.0899845Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0899942Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0900017Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0900112Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0900205Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0900286Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0900382Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0900494Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0900603Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0900691Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0900775Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0900869Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0900949Z              26 RETURN_VALUE
2022-11-23T01:32:33.0900954Z 
2022-11-23T01:32:33.0901019Z  
2022-11-23T01:32:33.0901212Z [2022-11-23 01:32:22,912] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0901288Z  - 
2022-11-23T01:32:33.0901414Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0901476Z             {
2022-11-23T01:32:33.0901623Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0901813Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0901941Z                 'obj_weakref': None
2022-11-23T01:32:33.0902167Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0902235Z             }
2022-11-23T01:32:33.0902303Z             
2022-11-23T01:32:33.0902371Z  - 
2022-11-23T01:32:33.0902501Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0902572Z             {
2022-11-23T01:32:33.0902719Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0902830Z                 'code': None,
2022-11-23T01:32:33.0903040Z                 'obj_weakref': <weakref at 0x7f1f36110040; to 'Tensor' at 0x7f1f2596a390>
2022-11-23T01:32:33.0903288Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0903350Z             }
2022-11-23T01:32:33.0903417Z             
2022-11-23T01:32:33.0903492Z  - 
2022-11-23T01:32:33.0903619Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0903688Z             {
2022-11-23T01:32:33.0903838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0903943Z                 'code': None,
2022-11-23T01:32:33.0904156Z                 'obj_weakref': <weakref at 0x7f1f2599fba0; to 'Tensor' at 0x7f1f25eea4d0>
2022-11-23T01:32:33.0904412Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0904484Z             }
2022-11-23T01:32:33.0904551Z             
2022-11-23T01:32:33.0904626Z  - 
2022-11-23T01:32:33.0904761Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0904829Z             {
2022-11-23T01:32:33.0904962Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0905138Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0905264Z                 'obj_weakref': None
2022-11-23T01:32:33.0905500Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0905569Z             }
2022-11-23T01:32:33.0905681Z             
2022-11-23T01:32:33.0905759Z  - 
2022-11-23T01:32:33.0905878Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0905947Z             {
2022-11-23T01:32:33.0906091Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0906315Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0906464Z                 'obj_weakref': None
2022-11-23T01:32:33.0906694Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0906762Z             }
2022-11-23T01:32:33.0906822Z             
2022-11-23T01:32:33.0907090Z [2022-11-23 01:32:22,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 986
2022-11-23T01:32:33.0907342Z [2022-11-23 01:32:22,920] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0907711Z [2022-11-23 01:32:22,987] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oz/cozb4ujdux6p4xsva4vxiccqk2toptn3rmxr4b7cmvigqehxytas.py
2022-11-23T01:32:33.0907983Z [2022-11-23 01:32:22,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 986
2022-11-23T01:32:33.0907989Z 
2022-11-23T01:32:33.0908091Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0908164Z import torch
2022-11-23T01:32:33.0908240Z import random
2022-11-23T01:32:33.0908355Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0908480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0908485Z 
2022-11-23T01:32:33.0908567Z aten = torch.ops.aten
2022-11-23T01:32:33.0908706Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0908804Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0908810Z 
2022-11-23T01:32:33.0908883Z import triton
2022-11-23T01:32:33.0908974Z import triton.language as tl
2022-11-23T01:32:33.0909095Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0909241Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0909247Z 
2022-11-23T01:32:33.0909251Z 
2022-11-23T01:32:33.0909409Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0909484Z import triton
2022-11-23T01:32:33.0909579Z import triton.language as tl
2022-11-23T01:32:33.0909693Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0909797Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0909933Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0910054Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0910060Z 
2022-11-23T01:32:33.0910578Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0910666Z @triton.jit
2022-11-23T01:32:33.0910831Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0910919Z     xnumel = 100
2022-11-23T01:32:33.0911032Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0911491Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0911576Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0911643Z     x2 = xindex
2022-11-23T01:32:33.0911720Z     x0 = xindex % 10
2022-11-23T01:32:33.0911801Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0911899Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0912011Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.0912091Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0912231Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.0912313Z ''')
2022-11-23T01:32:33.0912318Z 
2022-11-23T01:32:33.0912323Z 
2022-11-23T01:32:33.0912437Z async_compile.wait(globals())
2022-11-23T01:32:33.0912520Z del async_compile
2022-11-23T01:32:33.0912525Z 
2022-11-23T01:32:33.0912660Z def call(args):
2022-11-23T01:32:33.0912742Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0912818Z     args.clear()
2022-11-23T01:32:33.0913023Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0913114Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0913277Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0913353Z     del arg0_1
2022-11-23T01:32:33.0913424Z     del arg1_1
2022-11-23T01:32:33.0913503Z     return (buf0, )
2022-11-23T01:32:33.0913508Z 
2022-11-23T01:32:33.0913513Z 
2022-11-23T01:32:33.0913593Z if __name__ == "__main__":
2022-11-23T01:32:33.0913714Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0913844Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0914039Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0914244Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0914366Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0914371Z 
2022-11-23T01:32:33.0914443Z ok (0.086s)
2022-11-23T01:32:33.0914785Z   test_cuda_dense_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:22,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0915105Z [2022-11-23 01:32:22,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0915329Z [2022-11-23 01:32:22,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0915585Z [2022-11-23 01:32:22,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0915863Z [2022-11-23 01:32:22,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0916176Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0916519Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0916844Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0917223Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0917321Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0917420Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0917499Z               4 BINARY_ADD
2022-11-23T01:32:33.0917594Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0917677Z               8 RETURN_VALUE
2022-11-23T01:32:33.0917736Z  
2022-11-23T01:32:33.0917741Z 
2022-11-23T01:32:33.0918055Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0918271Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0918510Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0918783Z [2022-11-23 01:32:22,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0919026Z [2022-11-23 01:32:22,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0919271Z [2022-11-23 01:32:22,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0919674Z [2022-11-23 01:32:22,993] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0919928Z [2022-11-23 01:32:22,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0920185Z [2022-11-23 01:32:22,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0920445Z [2022-11-23 01:32:22,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0920698Z [2022-11-23 01:32:22,998] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0920892Z [2022-11-23 01:32:22,998] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0921035Z  __compiled_fn_1005 <eval_with_key>.6160 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0921128Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0921222Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0921405Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0921498Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0921512Z 
2022-11-23T01:32:33.0921836Z [2022-11-23 01:32:22,998] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0921942Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0922039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0922133Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0922236Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0922328Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0922422Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0922514Z              12 RETURN_VALUE
2022-11-23T01:32:33.0922530Z 
2022-11-23T01:32:33.0922593Z  
2022-11-23T01:32:33.0922943Z [2022-11-23 01:32:22,998] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0923062Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1005)
2022-11-23T01:32:33.0923158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0923257Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0923337Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0923432Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0923519Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0923599Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0923695Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0923813Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0923922Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0924018Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0924100Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0924187Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0924269Z              26 RETURN_VALUE
2022-11-23T01:32:33.0924275Z 
2022-11-23T01:32:33.0924339Z  
2022-11-23T01:32:33.0924527Z [2022-11-23 01:32:22,999] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0924606Z  - 
2022-11-23T01:32:33.0924733Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0924801Z             {
2022-11-23T01:32:33.0924941Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0925135Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0925259Z                 'obj_weakref': None
2022-11-23T01:32:33.0925486Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0925555Z             }
2022-11-23T01:32:33.0925622Z             
2022-11-23T01:32:33.0925698Z  - 
2022-11-23T01:32:33.0925820Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0925919Z             {
2022-11-23T01:32:33.0926071Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0926185Z                 'code': None,
2022-11-23T01:32:33.0926405Z                 'obj_weakref': <weakref at 0x7f1f25f0bbf0; to 'Tensor' at 0x7f1f25b95bc0>
2022-11-23T01:32:33.0926682Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0926752Z             }
2022-11-23T01:32:33.0926813Z             
2022-11-23T01:32:33.0926889Z  - 
2022-11-23T01:32:33.0927019Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0927087Z             {
2022-11-23T01:32:33.0927238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0927350Z                 'code': None,
2022-11-23T01:32:33.0927566Z                 'obj_weakref': <weakref at 0x7f1f25f09d00; to 'Tensor' at 0x7f1fe81b6de0>
2022-11-23T01:32:33.0927818Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0927888Z             }
2022-11-23T01:32:33.0927956Z             
2022-11-23T01:32:33.0928032Z  - 
2022-11-23T01:32:33.0928168Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0928237Z             {
2022-11-23T01:32:33.0928382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0928550Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0928676Z                 'obj_weakref': None
2022-11-23T01:32:33.0928913Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0928981Z             }
2022-11-23T01:32:33.0929049Z             
2022-11-23T01:32:33.0929129Z  - 
2022-11-23T01:32:33.0929257Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0929318Z             {
2022-11-23T01:32:33.0929459Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0929684Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0929810Z                 'obj_weakref': None
2022-11-23T01:32:33.0930034Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0930103Z             }
2022-11-23T01:32:33.0930175Z             
2022-11-23T01:32:33.0930433Z [2022-11-23 01:32:23,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 987
2022-11-23T01:32:33.0930687Z [2022-11-23 01:32:23,007] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0931059Z [2022-11-23 01:32:23,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt4dtwvpxwurldbuhfqfiny6opmg5cl667noddjmgybeypgimy7.py
2022-11-23T01:32:33.0931330Z [2022-11-23 01:32:23,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 987
2022-11-23T01:32:33.0931336Z 
2022-11-23T01:32:33.0931439Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0931520Z import torch
2022-11-23T01:32:33.0931599Z import random
2022-11-23T01:32:33.0931722Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0931842Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0931854Z 
2022-11-23T01:32:33.0931932Z aten = torch.ops.aten
2022-11-23T01:32:33.0932075Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0932179Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0932184Z 
2022-11-23T01:32:33.0932259Z import triton
2022-11-23T01:32:33.0932352Z import triton.language as tl
2022-11-23T01:32:33.0932488Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0932652Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0932659Z 
2022-11-23T01:32:33.0932665Z 
2022-11-23T01:32:33.0932844Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0932911Z import triton
2022-11-23T01:32:33.0933007Z import triton.language as tl
2022-11-23T01:32:33.0933164Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0933268Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0933405Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0933533Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0933559Z 
2022-11-23T01:32:33.0934007Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0934081Z @triton.jit
2022-11-23T01:32:33.0934253Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.0934326Z     xnumel = 10
2022-11-23T01:32:33.0934399Z     ynumel = 10
2022-11-23T01:32:33.0934499Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0934642Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.0934726Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0934825Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.0934952Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.0935035Z     ymask = yindex < ynumel
2022-11-23T01:32:33.0935109Z     x0 = xindex
2022-11-23T01:32:33.0935178Z     y1 = yindex
2022-11-23T01:32:33.0935296Z     tmp0 = tl.load(in_ptr0 + (y1 + (10*x0)), xmask & ymask)
2022-11-23T01:32:33.0935412Z     tmp1 = tl.load(in_ptr1 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.0935491Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.0935645Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:33.0935732Z ''')
2022-11-23T01:32:33.0935738Z 
2022-11-23T01:32:33.0935742Z 
2022-11-23T01:32:33.0935837Z async_compile.wait(globals())
2022-11-23T01:32:33.0935916Z del async_compile
2022-11-23T01:32:33.0935921Z 
2022-11-23T01:32:33.0935998Z def call(args):
2022-11-23T01:32:33.0936077Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0936153Z     args.clear()
2022-11-23T01:32:33.0936348Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0936441Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0936594Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.0936667Z     del arg0_1
2022-11-23T01:32:33.0936743Z     del arg1_1
2022-11-23T01:32:33.0936819Z     return (buf0, )
2022-11-23T01:32:33.0936825Z 
2022-11-23T01:32:33.0936829Z 
2022-11-23T01:32:33.0936910Z if __name__ == "__main__":
2022-11-23T01:32:33.0937029Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0937150Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0937354Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0937561Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0937681Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0937686Z 
2022-11-23T01:32:33.0937758Z ok (0.218s)
2022-11-23T01:32:33.0938102Z   test_cuda_double_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0938421Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0938642Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0939065Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0939343Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0939714Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0940058Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0940405Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0940785Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0940885Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0940982Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0941060Z               4 BINARY_ADD
2022-11-23T01:32:33.0941153Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0941230Z               8 RETURN_VALUE
2022-11-23T01:32:33.0941296Z  
2022-11-23T01:32:33.0941302Z 
2022-11-23T01:32:33.0941615Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0941840Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0942080Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0942358Z [2022-11-23 01:32:23,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0942603Z [2022-11-23 01:32:23,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0942852Z [2022-11-23 01:32:23,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0943239Z [2022-11-23 01:32:23,210] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0943481Z [2022-11-23 01:32:23,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0943723Z [2022-11-23 01:32:23,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0943984Z [2022-11-23 01:32:23,211] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0944236Z [2022-11-23 01:32:23,214] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0944429Z [2022-11-23 01:32:23,214] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0944573Z  __compiled_fn_1006 <eval_with_key>.6166 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0944666Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0944761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0944936Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0945036Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0945042Z 
2022-11-23T01:32:33.0945372Z [2022-11-23 01:32:23,214] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0945476Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0945572Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0945666Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0945767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0945858Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0945945Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0946027Z              12 RETURN_VALUE
2022-11-23T01:32:33.0946032Z 
2022-11-23T01:32:33.0946097Z  
2022-11-23T01:32:33.0946447Z [2022-11-23 01:32:23,214] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0946568Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1006)
2022-11-23T01:32:33.0946665Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0946790Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0946872Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0946960Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0947054Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0947135Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0947228Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0947340Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0947449Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0947545Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0947619Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0947714Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0947799Z              26 RETURN_VALUE
2022-11-23T01:32:33.0947804Z 
2022-11-23T01:32:33.0947869Z  
2022-11-23T01:32:33.0948057Z [2022-11-23 01:32:23,215] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0948135Z  - 
2022-11-23T01:32:33.0948262Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0948324Z             {
2022-11-23T01:32:33.0948469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0948662Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0948788Z                 'obj_weakref': None
2022-11-23T01:32:33.0949017Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0949086Z             }
2022-11-23T01:32:33.0949155Z             
2022-11-23T01:32:33.0949223Z  - 
2022-11-23T01:32:33.0949351Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0949422Z             {
2022-11-23T01:32:33.0949570Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0949683Z                 'code': None,
2022-11-23T01:32:33.0949897Z                 'obj_weakref': <weakref at 0x7f1f25e711c0; to 'Tensor' at 0x7f207274cae0>
2022-11-23T01:32:33.0950151Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0950212Z             }
2022-11-23T01:32:33.0950356Z             
2022-11-23T01:32:33.0950449Z  - 
2022-11-23T01:32:33.0950583Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0950652Z             {
2022-11-23T01:32:33.0950802Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0950916Z                 'code': None,
2022-11-23T01:32:33.0951120Z                 'obj_weakref': <weakref at 0x7f1f25e73f60; to 'Tensor' at 0x7f2151f1ad40>
2022-11-23T01:32:33.0951378Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0951446Z             }
2022-11-23T01:32:33.0951513Z             
2022-11-23T01:32:33.0951588Z  - 
2022-11-23T01:32:33.0951725Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0951793Z             {
2022-11-23T01:32:33.0951929Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0952109Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0952232Z                 'obj_weakref': None
2022-11-23T01:32:33.0952466Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0952539Z             }
2022-11-23T01:32:33.0952623Z             
2022-11-23T01:32:33.0952703Z  - 
2022-11-23T01:32:33.0952846Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0952916Z             {
2022-11-23T01:32:33.0953057Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0953310Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0953435Z                 'obj_weakref': None
2022-11-23T01:32:33.0953659Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0953727Z             }
2022-11-23T01:32:33.0953815Z             
2022-11-23T01:32:33.0954080Z [2022-11-23 01:32:23,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 988
2022-11-23T01:32:33.0954331Z [2022-11-23 01:32:23,223] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0954702Z [2022-11-23 01:32:23,289] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bf/cbfaqsc4qgxup2guucopcvzps36t3ydj63sboquiulpwpdwiclpf.py
2022-11-23T01:32:33.0954972Z [2022-11-23 01:32:23,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 988
2022-11-23T01:32:33.0954978Z 
2022-11-23T01:32:33.0955079Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0955157Z import torch
2022-11-23T01:32:33.0955231Z import random
2022-11-23T01:32:33.0955346Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0955474Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0955479Z 
2022-11-23T01:32:33.0955566Z aten = torch.ops.aten
2022-11-23T01:32:33.0955704Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0955803Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0955808Z 
2022-11-23T01:32:33.0955885Z import triton
2022-11-23T01:32:33.0955978Z import triton.language as tl
2022-11-23T01:32:33.0956105Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0956242Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0956248Z 
2022-11-23T01:32:33.0956259Z 
2022-11-23T01:32:33.0956407Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0956482Z import triton
2022-11-23T01:32:33.0956574Z import triton.language as tl
2022-11-23T01:32:33.0956692Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0956795Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0956931Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0957060Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0957071Z 
2022-11-23T01:32:33.0957449Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0957527Z @triton.jit
2022-11-23T01:32:33.0957674Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0957749Z     xnumel = 100
2022-11-23T01:32:33.0957847Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0957979Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0958063Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0958137Z     x2 = xindex
2022-11-23T01:32:33.0958208Z     x0 = xindex % 10
2022-11-23T01:32:33.0958306Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0958405Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.0958493Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.0958575Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0958714Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0958793Z ''')
2022-11-23T01:32:33.0958806Z 
2022-11-23T01:32:33.0958810Z 
2022-11-23T01:32:33.0958897Z async_compile.wait(globals())
2022-11-23T01:32:33.0958976Z del async_compile
2022-11-23T01:32:33.0958982Z 
2022-11-23T01:32:33.0959057Z def call(args):
2022-11-23T01:32:33.0959135Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0959211Z     args.clear()
2022-11-23T01:32:33.0959418Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0959511Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0959680Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0959757Z     del arg0_1
2022-11-23T01:32:33.0959830Z     del arg1_1
2022-11-23T01:32:33.0959905Z     return (buf0, )
2022-11-23T01:32:33.0959910Z 
2022-11-23T01:32:33.0959915Z 
2022-11-23T01:32:33.0959995Z if __name__ == "__main__":
2022-11-23T01:32:33.0960136Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0960266Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0960474Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0960668Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0960788Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0960794Z 
2022-11-23T01:32:33.0960865Z ok (0.084s)
2022-11-23T01:32:33.0961217Z   test_cuda_double_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0961534Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0961754Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0962011Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0962287Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0962602Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0962981Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0963310Z [2022-11-23 01:32:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0963693Z [2022-11-23 01:32:23,294] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0963793Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0963892Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0963972Z               4 BINARY_ADD
2022-11-23T01:32:33.0964068Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0964150Z               8 RETURN_VALUE
2022-11-23T01:32:33.0964209Z  
2022-11-23T01:32:33.0964222Z 
2022-11-23T01:32:33.0964527Z [2022-11-23 01:32:23,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0964747Z [2022-11-23 01:32:23,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0964991Z [2022-11-23 01:32:23,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0965268Z [2022-11-23 01:32:23,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0965517Z [2022-11-23 01:32:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0965763Z [2022-11-23 01:32:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0966139Z [2022-11-23 01:32:23,295] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0966389Z [2022-11-23 01:32:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0966655Z [2022-11-23 01:32:23,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0966908Z [2022-11-23 01:32:23,296] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0967164Z [2022-11-23 01:32:23,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0967381Z [2022-11-23 01:32:23,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0967523Z  __compiled_fn_1007 <eval_with_key>.6172 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0967617Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0967710Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0967892Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0967992Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0967998Z 
2022-11-23T01:32:33.0968325Z [2022-11-23 01:32:23,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0968426Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0968524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0968618Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0968721Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0968813Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0968906Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0968987Z              12 RETURN_VALUE
2022-11-23T01:32:33.0968992Z 
2022-11-23T01:32:33.0969050Z  
2022-11-23T01:32:33.0969376Z [2022-11-23 01:32:23,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0969495Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1007)
2022-11-23T01:32:33.0969591Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0969689Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0969770Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0969864Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0969952Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0970033Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0970129Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0970241Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0970349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0970443Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0970523Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0970616Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0970689Z              26 RETURN_VALUE
2022-11-23T01:32:33.0970694Z 
2022-11-23T01:32:33.0970760Z  
2022-11-23T01:32:33.0970949Z [2022-11-23 01:32:23,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0971023Z  - 
2022-11-23T01:32:33.0971150Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0971218Z             {
2022-11-23T01:32:33.0971364Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0971549Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0971678Z                 'obj_weakref': None
2022-11-23T01:32:33.0971910Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0971978Z             }
2022-11-23T01:32:33.0972045Z             
2022-11-23T01:32:33.0972121Z  - 
2022-11-23T01:32:33.0972251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0972312Z             {
2022-11-23T01:32:33.0972461Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0972596Z                 'code': None,
2022-11-23T01:32:33.0972840Z                 'obj_weakref': <weakref at 0x7f1f25e727a0; to 'Tensor' at 0x7f1fd8cc4540>
2022-11-23T01:32:33.0973119Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0973190Z             }
2022-11-23T01:32:33.0973258Z             
2022-11-23T01:32:33.0973327Z  - 
2022-11-23T01:32:33.0973453Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0973523Z             {
2022-11-23T01:32:33.0973717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0973830Z                 'code': None,
2022-11-23T01:32:33.0974048Z                 'obj_weakref': <weakref at 0x7f1fe812d0d0; to 'Tensor' at 0x7f207274cae0>
2022-11-23T01:32:33.0974303Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0974365Z             }
2022-11-23T01:32:33.0974439Z             
2022-11-23T01:32:33.0974515Z  - 
2022-11-23T01:32:33.0974653Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0974721Z             {
2022-11-23T01:32:33.0974860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0975039Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0975157Z                 'obj_weakref': None
2022-11-23T01:32:33.0975392Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0975463Z             }
2022-11-23T01:32:33.0975529Z             
2022-11-23T01:32:33.0975604Z  - 
2022-11-23T01:32:33.0975732Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0975800Z             {
2022-11-23T01:32:33.0975935Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0976156Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0976279Z                 'obj_weakref': None
2022-11-23T01:32:33.0976503Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0976570Z             }
2022-11-23T01:32:33.0976637Z             
2022-11-23T01:32:33.0976904Z [2022-11-23 01:32:23,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 989
2022-11-23T01:32:33.0977149Z [2022-11-23 01:32:23,308] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.0977520Z [2022-11-23 01:32:23,387] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5apc3qzqdvkzybdrdnjumwzososphpx3ijc4qcg4cruushdpi7.py
2022-11-23T01:32:33.0977789Z [2022-11-23 01:32:23,387] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 989
2022-11-23T01:32:33.0977795Z 
2022-11-23T01:32:33.0977895Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.0977968Z import torch
2022-11-23T01:32:33.0978043Z import random
2022-11-23T01:32:33.0978164Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.0978290Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.0978295Z 
2022-11-23T01:32:33.0978371Z aten = torch.ops.aten
2022-11-23T01:32:33.0978512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.0978610Z async_compile = AsyncCompile()
2022-11-23T01:32:33.0978615Z 
2022-11-23T01:32:33.0978687Z import triton
2022-11-23T01:32:33.0978781Z import triton.language as tl
2022-11-23T01:32:33.0979031Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.0979183Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.0979189Z 
2022-11-23T01:32:33.0979193Z 
2022-11-23T01:32:33.0979349Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.0979416Z import triton
2022-11-23T01:32:33.0979510Z import triton.language as tl
2022-11-23T01:32:33.0979626Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.0979729Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.0979866Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.0979993Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.0979999Z 
2022-11-23T01:32:33.0980449Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.0980527Z @triton.jit
2022-11-23T01:32:33.0980696Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.0980771Z     xnumel = 100
2022-11-23T01:32:33.0980869Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.0981002Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.0981085Z     xmask = xindex < xnumel
2022-11-23T01:32:33.0981157Z     x2 = xindex
2022-11-23T01:32:33.0981238Z     x1 = (xindex // 10)
2022-11-23T01:32:33.0981330Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.0981429Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.0981518Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.0981598Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.0981739Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.0981829Z ''')
2022-11-23T01:32:33.0981835Z 
2022-11-23T01:32:33.0981839Z 
2022-11-23T01:32:33.0981932Z async_compile.wait(globals())
2022-11-23T01:32:33.0982009Z del async_compile
2022-11-23T01:32:33.0982017Z 
2022-11-23T01:32:33.0982086Z def call(args):
2022-11-23T01:32:33.0982167Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.0982246Z     args.clear()
2022-11-23T01:32:33.0982485Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0982591Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.0982745Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.0982820Z     del arg0_1
2022-11-23T01:32:33.0982885Z     del arg1_1
2022-11-23T01:32:33.0982961Z     return (buf0, )
2022-11-23T01:32:33.0982966Z 
2022-11-23T01:32:33.0982971Z 
2022-11-23T01:32:33.0983052Z if __name__ == "__main__":
2022-11-23T01:32:33.0983174Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.0983305Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.0983510Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.0983717Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.0983843Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.0983848Z 
2022-11-23T01:32:33.0983913Z ok (0.098s)
2022-11-23T01:32:33.0984259Z   test_cuda_double_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.0984573Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.0984795Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.0985053Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.0985331Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.0985652Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0985993Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0986312Z [2022-11-23 01:32:23,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.0986717Z [2022-11-23 01:32:23,392] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.0986810Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.0986909Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.0986988Z               4 BINARY_ADD
2022-11-23T01:32:33.0987082Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.0987187Z               8 RETURN_VALUE
2022-11-23T01:32:33.0987254Z  
2022-11-23T01:32:33.0987259Z 
2022-11-23T01:32:33.0987571Z [2022-11-23 01:32:23,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.0987786Z [2022-11-23 01:32:23,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.0988019Z [2022-11-23 01:32:23,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.0988297Z [2022-11-23 01:32:23,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.0988543Z [2022-11-23 01:32:23,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.0988790Z [2022-11-23 01:32:23,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0989170Z [2022-11-23 01:32:23,393] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.0989414Z [2022-11-23 01:32:23,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.0989655Z [2022-11-23 01:32:23,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.0989911Z [2022-11-23 01:32:23,394] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.0990169Z [2022-11-23 01:32:23,396] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.0990452Z [2022-11-23 01:32:23,397] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.0990596Z  __compiled_fn_1008 <eval_with_key>.6178 opcode, name, target, args, kwargs
2022-11-23T01:32:33.0990693Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.0990789Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.0990974Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.0991076Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.0991081Z 
2022-11-23T01:32:33.0991408Z [2022-11-23 01:32:23,397] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0991509Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.0991599Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0991693Z               4 BUILD_MAP                0
2022-11-23T01:32:33.0991796Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.0991890Z               8 DICT_MERGE               1
2022-11-23T01:32:33.0991984Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.0992067Z              12 RETURN_VALUE
2022-11-23T01:32:33.0992072Z 
2022-11-23T01:32:33.0992140Z  
2022-11-23T01:32:33.0992467Z [2022-11-23 01:32:23,397] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.0992579Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1008)
2022-11-23T01:32:33.0992678Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0992774Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0992858Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.0992953Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.0993047Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.0993127Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.0993249Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.0993364Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.0993474Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.0993570Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.0993675Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.0993768Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.0993852Z              26 RETURN_VALUE
2022-11-23T01:32:33.0993858Z 
2022-11-23T01:32:33.0993916Z  
2022-11-23T01:32:33.0994104Z [2022-11-23 01:32:23,398] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.0994180Z  - 
2022-11-23T01:32:33.0994305Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.0994376Z             {
2022-11-23T01:32:33.0994525Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.0994717Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.0994835Z                 'obj_weakref': None
2022-11-23T01:32:33.0995068Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.0995137Z             }
2022-11-23T01:32:33.0995204Z             
2022-11-23T01:32:33.0995279Z  - 
2022-11-23T01:32:33.0995408Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.0995478Z             {
2022-11-23T01:32:33.0995619Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0995732Z                 'code': None,
2022-11-23T01:32:33.0995950Z                 'obj_weakref': <weakref at 0x7f1ffad45e40; to 'Tensor' at 0x7f1f36104d10>
2022-11-23T01:32:33.0996204Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0996273Z             }
2022-11-23T01:32:33.0996341Z             
2022-11-23T01:32:33.0996415Z  - 
2022-11-23T01:32:33.0996535Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.0996604Z             {
2022-11-23T01:32:33.0996755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.0996867Z                 'code': None,
2022-11-23T01:32:33.0997084Z                 'obj_weakref': <weakref at 0x7f1ffad45800; to 'Tensor' at 0x7f1fd8cc4540>
2022-11-23T01:32:33.0997339Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.0997412Z             }
2022-11-23T01:32:33.0997480Z             
2022-11-23T01:32:33.0997548Z  - 
2022-11-23T01:32:33.0997683Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.0997753Z             {
2022-11-23T01:32:33.0997894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.0998072Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.0998198Z                 'obj_weakref': None
2022-11-23T01:32:33.0998425Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.0998494Z             }
2022-11-23T01:32:33.0998563Z             
2022-11-23T01:32:33.0998639Z  - 
2022-11-23T01:32:33.0998767Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.0998835Z             {
2022-11-23T01:32:33.0998976Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.0999190Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.0999316Z                 'obj_weakref': None
2022-11-23T01:32:33.0999543Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.0999613Z             }
2022-11-23T01:32:33.0999681Z             
2022-11-23T01:32:33.0999945Z [2022-11-23 01:32:23,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 990
2022-11-23T01:32:33.1000196Z [2022-11-23 01:32:23,407] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1000599Z [2022-11-23 01:32:23,485] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xu/cxuyn5uezwafhkbugvpahkzosrjazjtvwegnkgehmt3scivvcv7p.py
2022-11-23T01:32:33.1000861Z [2022-11-23 01:32:23,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 990
2022-11-23T01:32:33.1000874Z 
2022-11-23T01:32:33.1000990Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1001064Z import torch
2022-11-23T01:32:33.1001138Z import random
2022-11-23T01:32:33.1001260Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1001388Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1001393Z 
2022-11-23T01:32:33.1001474Z aten = torch.ops.aten
2022-11-23T01:32:33.1001612Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1001703Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1001708Z 
2022-11-23T01:32:33.1001786Z import triton
2022-11-23T01:32:33.1001878Z import triton.language as tl
2022-11-23T01:32:33.1002005Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1002151Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1002156Z 
2022-11-23T01:32:33.1002161Z 
2022-11-23T01:32:33.1002316Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1002395Z import triton
2022-11-23T01:32:33.1002508Z import triton.language as tl
2022-11-23T01:32:33.1002628Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1002749Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1002884Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1003014Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1003019Z 
2022-11-23T01:32:33.1003406Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1003480Z @triton.jit
2022-11-23T01:32:33.1003628Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1003703Z     xnumel = 100
2022-11-23T01:32:33.1003794Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1003926Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1004009Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1004086Z     x0 = xindex
2022-11-23T01:32:33.1004184Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1004316Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.1004405Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.1004477Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1004612Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1004699Z ''')
2022-11-23T01:32:33.1004704Z 
2022-11-23T01:32:33.1004709Z 
2022-11-23T01:32:33.1004802Z async_compile.wait(globals())
2022-11-23T01:32:33.1004879Z del async_compile
2022-11-23T01:32:33.1004884Z 
2022-11-23T01:32:33.1004960Z def call(args):
2022-11-23T01:32:33.1005045Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1005114Z     args.clear()
2022-11-23T01:32:33.1005319Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1005410Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1005556Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1005632Z     del arg0_1
2022-11-23T01:32:33.1005703Z     del arg1_1
2022-11-23T01:32:33.1005779Z     return (buf0, )
2022-11-23T01:32:33.1005784Z 
2022-11-23T01:32:33.1005789Z 
2022-11-23T01:32:33.1005870Z if __name__ == "__main__":
2022-11-23T01:32:33.1005982Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1006120Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1006326Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1006531Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1006699Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1006705Z 
2022-11-23T01:32:33.1006778Z ok (0.099s)
2022-11-23T01:32:33.1007122Z   test_cuda_double_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1007464Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1007679Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1007938Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1008220Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1008543Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1008892Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1009218Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1009606Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1009704Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1009806Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1009885Z               4 BINARY_ADD
2022-11-23T01:32:33.1009973Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1010055Z               8 RETURN_VALUE
2022-11-23T01:32:33.1010124Z  
2022-11-23T01:32:33.1010129Z 
2022-11-23T01:32:33.1010451Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1010667Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1010917Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1011195Z [2022-11-23 01:32:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1011442Z [2022-11-23 01:32:23,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1011684Z [2022-11-23 01:32:23,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1012071Z [2022-11-23 01:32:23,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1012322Z [2022-11-23 01:32:23,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1012585Z [2022-11-23 01:32:23,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1012874Z [2022-11-23 01:32:23,492] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1013128Z [2022-11-23 01:32:23,496] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1013324Z [2022-11-23 01:32:23,496] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1013465Z  __compiled_fn_1009 <eval_with_key>.6184 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1013560Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1013645Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1013861Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1013963Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1013969Z 
2022-11-23T01:32:33.1014306Z [2022-11-23 01:32:23,496] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1014427Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1014525Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1014618Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1014719Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1014803Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1014899Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1014984Z              12 RETURN_VALUE
2022-11-23T01:32:33.1014989Z 
2022-11-23T01:32:33.1015055Z  
2022-11-23T01:32:33.1015382Z [2022-11-23 01:32:23,496] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1015500Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1009)
2022-11-23T01:32:33.1015596Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1015692Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1015770Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1015865Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1015960Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1016042Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1016135Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1016246Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1016354Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1016443Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1016524Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1016624Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1016704Z              26 RETURN_VALUE
2022-11-23T01:32:33.1016709Z 
2022-11-23T01:32:33.1016775Z  
2022-11-23T01:32:33.1016965Z [2022-11-23 01:32:23,497] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1017042Z  - 
2022-11-23T01:32:33.1017162Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1017233Z             {
2022-11-23T01:32:33.1017380Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1017575Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1017700Z                 'obj_weakref': None
2022-11-23T01:32:33.1017926Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1017994Z             }
2022-11-23T01:32:33.1018055Z             
2022-11-23T01:32:33.1018133Z  - 
2022-11-23T01:32:33.1018263Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1018333Z             {
2022-11-23T01:32:33.1018484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1018597Z                 'code': None,
2022-11-23T01:32:33.1019029Z                 'obj_weakref': <weakref at 0x7f1f25ee3d30; to 'Tensor' at 0x7f1f25f232e0>
2022-11-23T01:32:33.1019278Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1019350Z             }
2022-11-23T01:32:33.1019418Z             
2022-11-23T01:32:33.1019497Z  - 
2022-11-23T01:32:33.1019625Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1019691Z             {
2022-11-23T01:32:33.1019841Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1019946Z                 'code': None,
2022-11-23T01:32:33.1020159Z                 'obj_weakref': <weakref at 0x7f1f25ee3a60; to 'Tensor' at 0x7f2151f1aed0>
2022-11-23T01:32:33.1020413Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1020546Z             }
2022-11-23T01:32:33.1020616Z             
2022-11-23T01:32:33.1020694Z  - 
2022-11-23T01:32:33.1020830Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1020891Z             {
2022-11-23T01:32:33.1021032Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1021238Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1021363Z                 'obj_weakref': None
2022-11-23T01:32:33.1021596Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1021665Z             }
2022-11-23T01:32:33.1021732Z             
2022-11-23T01:32:33.1021801Z  - 
2022-11-23T01:32:33.1021931Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1022000Z             {
2022-11-23T01:32:33.1022141Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1022361Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1022488Z                 'obj_weakref': None
2022-11-23T01:32:33.1022713Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1022774Z             }
2022-11-23T01:32:33.1022842Z             
2022-11-23T01:32:33.1023109Z [2022-11-23 01:32:23,501] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 991
2022-11-23T01:32:33.1023363Z [2022-11-23 01:32:23,505] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1023722Z [2022-11-23 01:32:23,572] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vq/cvqj32svr24jtzqz3kdujztt5pr4sz57avk26lm2j2lq46sgdb5v.py
2022-11-23T01:32:33.1023990Z [2022-11-23 01:32:23,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 991
2022-11-23T01:32:33.1023995Z 
2022-11-23T01:32:33.1024096Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1024169Z import torch
2022-11-23T01:32:33.1024241Z import random
2022-11-23T01:32:33.1024364Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1024489Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1024494Z 
2022-11-23T01:32:33.1024578Z aten = torch.ops.aten
2022-11-23T01:32:33.1024724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1024822Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1024827Z 
2022-11-23T01:32:33.1024900Z import triton
2022-11-23T01:32:33.1024994Z import triton.language as tl
2022-11-23T01:32:33.1025115Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1025261Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1025266Z 
2022-11-23T01:32:33.1025271Z 
2022-11-23T01:32:33.1025425Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1025499Z import triton
2022-11-23T01:32:33.1025591Z import triton.language as tl
2022-11-23T01:32:33.1025709Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1025812Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1025948Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1026070Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1026075Z 
2022-11-23T01:32:33.1026464Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1026539Z @triton.jit
2022-11-23T01:32:33.1026684Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1026758Z     xnumel = 100
2022-11-23T01:32:33.1026857Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1026991Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1027074Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1027139Z     x0 = xindex
2022-11-23T01:32:33.1027280Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1027379Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1027469Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.1027549Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1027688Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1027791Z ''')
2022-11-23T01:32:33.1027803Z 
2022-11-23T01:32:33.1027808Z 
2022-11-23T01:32:33.1027894Z async_compile.wait(globals())
2022-11-23T01:32:33.1027973Z del async_compile
2022-11-23T01:32:33.1027979Z 
2022-11-23T01:32:33.1028054Z def call(args):
2022-11-23T01:32:33.1028134Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1028210Z     args.clear()
2022-11-23T01:32:33.1028417Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1028508Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1028647Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1028720Z     del arg0_1
2022-11-23T01:32:33.1028797Z     del arg1_1
2022-11-23T01:32:33.1028872Z     return (buf0, )
2022-11-23T01:32:33.1028877Z 
2022-11-23T01:32:33.1028882Z 
2022-11-23T01:32:33.1028965Z if __name__ == "__main__":
2022-11-23T01:32:33.1029084Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1029218Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1029427Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1029625Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1029748Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1029754Z 
2022-11-23T01:32:33.1029825Z ok (0.086s)
2022-11-23T01:32:33.1030168Z   test_cuda_double_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1030629Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1030856Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1031109Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1031394Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1031716Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1032056Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1032382Z [2022-11-23 01:32:23,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1032764Z [2022-11-23 01:32:23,577] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1032866Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1032964Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1033042Z               4 BINARY_ADD
2022-11-23T01:32:33.1033137Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1033219Z               8 RETURN_VALUE
2022-11-23T01:32:33.1033277Z  
2022-11-23T01:32:33.1033291Z 
2022-11-23T01:32:33.1033599Z [2022-11-23 01:32:23,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1033817Z [2022-11-23 01:32:23,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1034094Z [2022-11-23 01:32:23,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1034372Z [2022-11-23 01:32:23,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1034620Z [2022-11-23 01:32:23,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1034895Z [2022-11-23 01:32:23,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1035280Z [2022-11-23 01:32:23,578] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1035526Z [2022-11-23 01:32:23,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1035767Z [2022-11-23 01:32:23,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1036020Z [2022-11-23 01:32:23,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1036276Z [2022-11-23 01:32:23,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1036474Z [2022-11-23 01:32:23,581] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1036617Z  __compiled_fn_1010 <eval_with_key>.6190 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1036713Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1036806Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1036989Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1037090Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1037095Z 
2022-11-23T01:32:33.1037412Z [2022-11-23 01:32:23,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1037516Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1037613Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1037707Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1037807Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1037902Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1037998Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1038081Z              12 RETURN_VALUE
2022-11-23T01:32:33.1038086Z 
2022-11-23T01:32:33.1038144Z  
2022-11-23T01:32:33.1038462Z [2022-11-23 01:32:23,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1038583Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1010)
2022-11-23T01:32:33.1038679Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1038775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1038862Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1038959Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1039047Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1039128Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1039222Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1039337Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1039450Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1039544Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1039626Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1039721Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1039794Z              26 RETURN_VALUE
2022-11-23T01:32:33.1039799Z 
2022-11-23T01:32:33.1039864Z  
2022-11-23T01:32:33.1040052Z [2022-11-23 01:32:23,582] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1040127Z  - 
2022-11-23T01:32:33.1040252Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1040322Z             {
2022-11-23T01:32:33.1040501Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1040688Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1040812Z                 'obj_weakref': None
2022-11-23T01:32:33.1041040Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1041134Z             }
2022-11-23T01:32:33.1041205Z             
2022-11-23T01:32:33.1041281Z  - 
2022-11-23T01:32:33.1041411Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1041473Z             {
2022-11-23T01:32:33.1041624Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1041736Z                 'code': None,
2022-11-23T01:32:33.1041957Z                 'obj_weakref': <weakref at 0x7f1f25f0a3e0; to 'Tensor' at 0x7f1fe81dc360>
2022-11-23T01:32:33.1042210Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1042282Z             }
2022-11-23T01:32:33.1042350Z             
2022-11-23T01:32:33.1042422Z  - 
2022-11-23T01:32:33.1042571Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1042648Z             {
2022-11-23T01:32:33.1042818Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1042933Z                 'code': None,
2022-11-23T01:32:33.1043143Z                 'obj_weakref': <weakref at 0x7f1f25f08810; to 'Tensor' at 0x7f1f25eada80>
2022-11-23T01:32:33.1043396Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1043457Z             }
2022-11-23T01:32:33.1043524Z             
2022-11-23T01:32:33.1043602Z  - 
2022-11-23T01:32:33.1043738Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1043806Z             {
2022-11-23T01:32:33.1043949Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1044124Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1044246Z                 'obj_weakref': None
2022-11-23T01:32:33.1044479Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1044549Z             }
2022-11-23T01:32:33.1044618Z             
2022-11-23T01:32:33.1044696Z  - 
2022-11-23T01:32:33.1044823Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1044891Z             {
2022-11-23T01:32:33.1045026Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1045247Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1045370Z                 'obj_weakref': None
2022-11-23T01:32:33.1045596Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1045664Z             }
2022-11-23T01:32:33.1045732Z             
2022-11-23T01:32:33.1045998Z [2022-11-23 01:32:23,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 992
2022-11-23T01:32:33.1046248Z [2022-11-23 01:32:23,590] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1046614Z [2022-11-23 01:32:23,653] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bs/cbso6xiqpuoyxyhb63rroe7xod4y35de7bunme347cgb23ae7qmt.py
2022-11-23T01:32:33.1046889Z [2022-11-23 01:32:23,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 992
2022-11-23T01:32:33.1046895Z 
2022-11-23T01:32:33.1046999Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1047074Z import torch
2022-11-23T01:32:33.1047147Z import random
2022-11-23T01:32:33.1047271Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1047398Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1047404Z 
2022-11-23T01:32:33.1047480Z aten = torch.ops.aten
2022-11-23T01:32:33.1047619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1047749Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1047755Z 
2022-11-23T01:32:33.1047830Z import triton
2022-11-23T01:32:33.1047924Z import triton.language as tl
2022-11-23T01:32:33.1048050Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1048194Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1048238Z 
2022-11-23T01:32:33.1048242Z 
2022-11-23T01:32:33.1048399Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1048467Z import triton
2022-11-23T01:32:33.1048561Z import triton.language as tl
2022-11-23T01:32:33.1048677Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1048780Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1048918Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1049046Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1049052Z 
2022-11-23T01:32:33.1049447Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1049524Z @triton.jit
2022-11-23T01:32:33.1049661Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1049743Z     xnumel = 100
2022-11-23T01:32:33.1049841Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1049975Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1050061Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1050134Z     x0 = xindex
2022-11-23T01:32:33.1050236Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1050327Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1050412Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1050549Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1050636Z ''')
2022-11-23T01:32:33.1050642Z 
2022-11-23T01:32:33.1050646Z 
2022-11-23T01:32:33.1050740Z async_compile.wait(globals())
2022-11-23T01:32:33.1050821Z del async_compile
2022-11-23T01:32:33.1050827Z 
2022-11-23T01:32:33.1050902Z def call(args):
2022-11-23T01:32:33.1050981Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1051050Z     args.clear()
2022-11-23T01:32:33.1051256Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1051351Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1051497Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1051572Z     del arg0_1
2022-11-23T01:32:33.1051645Z     del arg1_1
2022-11-23T01:32:33.1051720Z     return (buf0, )
2022-11-23T01:32:33.1051725Z 
2022-11-23T01:32:33.1051730Z 
2022-11-23T01:32:33.1051803Z if __name__ == "__main__":
2022-11-23T01:32:33.1051922Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1052051Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1052260Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1052474Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1052613Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1052618Z 
2022-11-23T01:32:33.1052706Z ok (0.081s)
2022-11-23T01:32:33.1053055Z   test_cuda_double_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1053369Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1053595Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1053854Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1054171Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1054495Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1054844Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1055191Z [2022-11-23 01:32:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1055576Z [2022-11-23 01:32:23,658] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1055679Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1055775Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1055850Z               4 BINARY_ADD
2022-11-23T01:32:33.1055946Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1056027Z               8 RETURN_VALUE
2022-11-23T01:32:33.1056094Z  
2022-11-23T01:32:33.1056099Z 
2022-11-23T01:32:33.1056409Z [2022-11-23 01:32:23,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1056628Z [2022-11-23 01:32:23,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1056871Z [2022-11-23 01:32:23,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1057149Z [2022-11-23 01:32:23,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1057389Z [2022-11-23 01:32:23,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1057641Z [2022-11-23 01:32:23,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1058023Z [2022-11-23 01:32:23,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1058279Z [2022-11-23 01:32:23,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1058518Z [2022-11-23 01:32:23,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1058777Z [2022-11-23 01:32:23,660] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1059422Z [2022-11-23 01:32:23,662] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1059618Z [2022-11-23 01:32:23,663] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1059761Z  __compiled_fn_1011 <eval_with_key>.6196 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1059851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1059946Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1060127Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1060227Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1060236Z 
2022-11-23T01:32:33.1060567Z [2022-11-23 01:32:23,663] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1060669Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1060766Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1060858Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1060951Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1061043Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1061137Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1061217Z              12 RETURN_VALUE
2022-11-23T01:32:33.1061318Z 
2022-11-23T01:32:33.1061384Z  
2022-11-23T01:32:33.1061709Z [2022-11-23 01:32:23,663] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1061826Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1011)
2022-11-23T01:32:33.1061961Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1062052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1062134Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1062230Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1062323Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1062402Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1062497Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1062611Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1062713Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1062811Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1062890Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1062984Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1063065Z              26 RETURN_VALUE
2022-11-23T01:32:33.1063070Z 
2022-11-23T01:32:33.1063137Z  
2022-11-23T01:32:33.1063323Z [2022-11-23 01:32:23,664] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1063392Z  - 
2022-11-23T01:32:33.1063515Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1063585Z             {
2022-11-23T01:32:33.1063731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1063923Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1064047Z                 'obj_weakref': None
2022-11-23T01:32:33.1064275Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1064345Z             }
2022-11-23T01:32:33.1064406Z             
2022-11-23T01:32:33.1064483Z  - 
2022-11-23T01:32:33.1064617Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1064686Z             {
2022-11-23T01:32:33.1064835Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1064949Z                 'code': None,
2022-11-23T01:32:33.1065165Z                 'obj_weakref': <weakref at 0x7f1ffad47e20; to 'Tensor' at 0x7f1fe81dc360>
2022-11-23T01:32:33.1065419Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1065489Z             }
2022-11-23T01:32:33.1065555Z             
2022-11-23T01:32:33.1065631Z  - 
2022-11-23T01:32:33.1065758Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1065825Z             {
2022-11-23T01:32:33.1065967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1066079Z                 'code': None,
2022-11-23T01:32:33.1066293Z                 'obj_weakref': <weakref at 0x7f1ffad45b70; to 'Tensor' at 0x7f1f25f0a390>
2022-11-23T01:32:33.1066547Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1066615Z             }
2022-11-23T01:32:33.1066682Z             
2022-11-23T01:32:33.1066757Z  - 
2022-11-23T01:32:33.1066886Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1066957Z             {
2022-11-23T01:32:33.1067097Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1067271Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1067395Z                 'obj_weakref': None
2022-11-23T01:32:33.1067627Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1067695Z             }
2022-11-23T01:32:33.1067756Z             
2022-11-23T01:32:33.1067831Z  - 
2022-11-23T01:32:33.1067956Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1068026Z             {
2022-11-23T01:32:33.1068202Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1068424Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1068546Z                 'obj_weakref': None
2022-11-23T01:32:33.1068763Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1068854Z             }
2022-11-23T01:32:33.1068922Z             
2022-11-23T01:32:33.1069189Z [2022-11-23 01:32:23,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 993
2022-11-23T01:32:33.1069442Z [2022-11-23 01:32:23,672] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1069809Z [2022-11-23 01:32:23,737] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfemxegcgxv52lvzorm4ewq3kvsse6hiu2czx5uwclo5qjurbne6.py
2022-11-23T01:32:33.1070076Z [2022-11-23 01:32:23,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 993
2022-11-23T01:32:33.1070084Z 
2022-11-23T01:32:33.1070185Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1070397Z import torch
2022-11-23T01:32:33.1070479Z import random
2022-11-23T01:32:33.1070618Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1070764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1070770Z 
2022-11-23T01:32:33.1070867Z aten = torch.ops.aten
2022-11-23T01:32:33.1071024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1071330Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1071337Z 
2022-11-23T01:32:33.1071430Z import triton
2022-11-23T01:32:33.1071515Z import triton.language as tl
2022-11-23T01:32:33.1071646Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1071788Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1071794Z 
2022-11-23T01:32:33.1071799Z 
2022-11-23T01:32:33.1071960Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1072042Z import triton
2022-11-23T01:32:33.1072135Z import triton.language as tl
2022-11-23T01:32:33.1072252Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1072354Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1072483Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1072616Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1072621Z 
2022-11-23T01:32:33.1073006Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*i32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1073079Z @triton.jit
2022-11-23T01:32:33.1073224Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1073300Z     xnumel = 100
2022-11-23T01:32:33.1073398Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1073532Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1073609Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1073681Z     x2 = xindex
2022-11-23T01:32:33.1073756Z     x0 = xindex % 10
2022-11-23T01:32:33.1073854Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.1073951Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1074044Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.1074123Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1074256Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1074347Z ''')
2022-11-23T01:32:33.1074352Z 
2022-11-23T01:32:33.1074356Z 
2022-11-23T01:32:33.1074451Z async_compile.wait(globals())
2022-11-23T01:32:33.1074529Z del async_compile
2022-11-23T01:32:33.1074534Z 
2022-11-23T01:32:33.1074610Z def call(args):
2022-11-23T01:32:33.1074692Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1074767Z     args.clear()
2022-11-23T01:32:33.1074962Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1075131Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1075282Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1075356Z     del arg0_1
2022-11-23T01:32:33.1075429Z     del arg1_1
2022-11-23T01:32:33.1075506Z     return (buf0, )
2022-11-23T01:32:33.1075541Z 
2022-11-23T01:32:33.1075545Z 
2022-11-23T01:32:33.1075629Z if __name__ == "__main__":
2022-11-23T01:32:33.1075748Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1075869Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1076076Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1076269Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1076392Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1076398Z 
2022-11-23T01:32:33.1076469Z ok (0.084s)
2022-11-23T01:32:33.1076808Z   test_cuda_double_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1077128Z [2022-11-23 01:32:23,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1077359Z [2022-11-23 01:32:23,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1077606Z [2022-11-23 01:32:23,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1077889Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1078208Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1078556Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1078882Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1079259Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1079362Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1079458Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1079538Z               4 BINARY_ADD
2022-11-23T01:32:33.1079632Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1079706Z               8 RETURN_VALUE
2022-11-23T01:32:33.1079771Z  
2022-11-23T01:32:33.1079776Z 
2022-11-23T01:32:33.1080093Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1080307Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1080547Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1080818Z [2022-11-23 01:32:23,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1081064Z [2022-11-23 01:32:23,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1081315Z [2022-11-23 01:32:23,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1081699Z [2022-11-23 01:32:23,743] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1081982Z [2022-11-23 01:32:23,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1082223Z [2022-11-23 01:32:23,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1082481Z [2022-11-23 01:32:23,744] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1082752Z [2022-11-23 01:32:23,747] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1082970Z [2022-11-23 01:32:23,747] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1083135Z  __compiled_fn_1012 <eval_with_key>.6202 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1083230Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1083322Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1083495Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1083594Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1083600Z 
2022-11-23T01:32:33.1083928Z [2022-11-23 01:32:23,747] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1084029Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1084127Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1084223Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1084323Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1084416Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1084503Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1084585Z              12 RETURN_VALUE
2022-11-23T01:32:33.1084590Z 
2022-11-23T01:32:33.1084658Z  
2022-11-23T01:32:33.1084976Z [2022-11-23 01:32:23,747] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1085094Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1012)
2022-11-23T01:32:33.1085195Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1085294Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1085375Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1085464Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1085561Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1085641Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1085734Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1085845Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1085958Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1086053Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1086128Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1086223Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1086304Z              26 RETURN_VALUE
2022-11-23T01:32:33.1086310Z 
2022-11-23T01:32:33.1086377Z  
2022-11-23T01:32:33.1086570Z [2022-11-23 01:32:23,748] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1086646Z  - 
2022-11-23T01:32:33.1086770Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1086832Z             {
2022-11-23T01:32:33.1086976Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1087171Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1087292Z                 'obj_weakref': None
2022-11-23T01:32:33.1087518Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1087586Z             }
2022-11-23T01:32:33.1087654Z             
2022-11-23T01:32:33.1087723Z  - 
2022-11-23T01:32:33.1087850Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1087918Z             {
2022-11-23T01:32:33.1088065Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1088175Z                 'code': None,
2022-11-23T01:32:33.1088419Z                 'obj_weakref': <weakref at 0x7f1f25e943b0; to 'Tensor' at 0x7f1fd810c9a0>
2022-11-23T01:32:33.1088673Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1088735Z             }
2022-11-23T01:32:33.1088808Z             
2022-11-23T01:32:33.1088909Z  - 
2022-11-23T01:32:33.1089036Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1089103Z             {
2022-11-23T01:32:33.1089251Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1089362Z                 'code': None,
2022-11-23T01:32:33.1089570Z                 'obj_weakref': <weakref at 0x7f1f25eafba0; to 'Tensor' at 0x7f1f29a90540>
2022-11-23T01:32:33.1089821Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1089888Z             }
2022-11-23T01:32:33.1089955Z             
2022-11-23T01:32:33.1090031Z  - 
2022-11-23T01:32:33.1090168Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1090239Z             {
2022-11-23T01:32:33.1090376Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1090552Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1090677Z                 'obj_weakref': None
2022-11-23T01:32:33.1090913Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1090983Z             }
2022-11-23T01:32:33.1091050Z             
2022-11-23T01:32:33.1091126Z  - 
2022-11-23T01:32:33.1091246Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1091314Z             {
2022-11-23T01:32:33.1091456Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1091682Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1091805Z                 'obj_weakref': None
2022-11-23T01:32:33.1092032Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1092104Z             }
2022-11-23T01:32:33.1092164Z             
2022-11-23T01:32:33.1092450Z [2022-11-23 01:32:23,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 994
2022-11-23T01:32:33.1092734Z [2022-11-23 01:32:23,756] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1093105Z [2022-11-23 01:32:23,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojxq6zdjhn5k2rwol4igvsvwbr6im2vkelynbl47rmf54phb5ez.py
2022-11-23T01:32:33.1093371Z [2022-11-23 01:32:23,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 994
2022-11-23T01:32:33.1093378Z 
2022-11-23T01:32:33.1093478Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1093552Z import torch
2022-11-23T01:32:33.1093627Z import random
2022-11-23T01:32:33.1093741Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1093866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1093874Z 
2022-11-23T01:32:33.1093959Z aten = torch.ops.aten
2022-11-23T01:32:33.1094097Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1094195Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1094200Z 
2022-11-23T01:32:33.1094275Z import triton
2022-11-23T01:32:33.1094370Z import triton.language as tl
2022-11-23T01:32:33.1094499Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1094635Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1094641Z 
2022-11-23T01:32:33.1094646Z 
2022-11-23T01:32:33.1094801Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1094877Z import triton
2022-11-23T01:32:33.1094968Z import triton.language as tl
2022-11-23T01:32:33.1095083Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1095187Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1095322Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1095476Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1095489Z 
2022-11-23T01:32:33.1095870Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1095968Z @triton.jit
2022-11-23T01:32:33.1096115Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1096189Z     xnumel = 100
2022-11-23T01:32:33.1096287Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1096418Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1096501Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1096566Z     x2 = xindex
2022-11-23T01:32:33.1096642Z     x0 = xindex % 10
2022-11-23T01:32:33.1096722Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1096824Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.1096939Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1097028Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.1097108Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1097240Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1097327Z ''')
2022-11-23T01:32:33.1097335Z 
2022-11-23T01:32:33.1097339Z 
2022-11-23T01:32:33.1097435Z async_compile.wait(globals())
2022-11-23T01:32:33.1097512Z del async_compile
2022-11-23T01:32:33.1097517Z 
2022-11-23T01:32:33.1097591Z def call(args):
2022-11-23T01:32:33.1097671Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1097747Z     args.clear()
2022-11-23T01:32:33.1097951Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1098035Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1098179Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1098254Z     del arg0_1
2022-11-23T01:32:33.1098326Z     del arg1_1
2022-11-23T01:32:33.1098405Z     return (buf0, )
2022-11-23T01:32:33.1098414Z 
2022-11-23T01:32:33.1098418Z 
2022-11-23T01:32:33.1098498Z if __name__ == "__main__":
2022-11-23T01:32:33.1098618Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1098739Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1099216Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1099417Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1099539Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1099544Z 
2022-11-23T01:32:33.1099617Z ok (0.088s)
2022-11-23T01:32:33.1099965Z   test_cuda_double_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1100280Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1100504Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1100761Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1101037Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1101355Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1101695Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1102016Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1102479Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1102579Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1102707Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1102786Z               4 BINARY_ADD
2022-11-23T01:32:33.1102881Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1102955Z               8 RETURN_VALUE
2022-11-23T01:32:33.1103021Z  
2022-11-23T01:32:33.1103027Z 
2022-11-23T01:32:33.1103341Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1103554Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1103798Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1104078Z [2022-11-23 01:32:23,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1104323Z [2022-11-23 01:32:23,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1104575Z [2022-11-23 01:32:23,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1104954Z [2022-11-23 01:32:23,831] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1105192Z [2022-11-23 01:32:23,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1105426Z [2022-11-23 01:32:23,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1105683Z [2022-11-23 01:32:23,832] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1105933Z [2022-11-23 01:32:23,835] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1106125Z [2022-11-23 01:32:23,835] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1106273Z  __compiled_fn_1013 <eval_with_key>.6208 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1106367Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1106460Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1106640Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1106734Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1106740Z 
2022-11-23T01:32:33.1107062Z [2022-11-23 01:32:23,835] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1107163Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1107262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1107355Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1107456Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1107550Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1107637Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1107721Z              12 RETURN_VALUE
2022-11-23T01:32:33.1107727Z 
2022-11-23T01:32:33.1107792Z  
2022-11-23T01:32:33.1108108Z [2022-11-23 01:32:23,835] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1108226Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1013)
2022-11-23T01:32:33.1108323Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1108423Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1108504Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1108592Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1108714Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1108797Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1108891Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1109004Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1109137Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1109231Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1109305Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1109398Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1109479Z              26 RETURN_VALUE
2022-11-23T01:32:33.1109484Z 
2022-11-23T01:32:33.1109547Z  
2022-11-23T01:32:33.1109736Z [2022-11-23 01:32:23,836] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1109812Z  - 
2022-11-23T01:32:33.1109935Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1109997Z             {
2022-11-23T01:32:33.1110142Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1110503Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1110629Z                 'obj_weakref': None
2022-11-23T01:32:33.1110854Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1110926Z             }
2022-11-23T01:32:33.1110994Z             
2022-11-23T01:32:33.1111062Z  - 
2022-11-23T01:32:33.1111190Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1111259Z             {
2022-11-23T01:32:33.1111406Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1111518Z                 'code': None,
2022-11-23T01:32:33.1111727Z                 'obj_weakref': <weakref at 0x7f1f361057b0; to 'Tensor' at 0x7f1f25ecf5b0>
2022-11-23T01:32:33.1111977Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1112046Z             }
2022-11-23T01:32:33.1112107Z             
2022-11-23T01:32:33.1112182Z  - 
2022-11-23T01:32:33.1112315Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1112382Z             {
2022-11-23T01:32:33.1112528Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1112636Z                 'code': None,
2022-11-23T01:32:33.1112843Z                 'obj_weakref': <weakref at 0x7f1f25e7d990; to 'Tensor' at 0x7f1fe81dc360>
2022-11-23T01:32:33.1113094Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1113163Z             }
2022-11-23T01:32:33.1113229Z             
2022-11-23T01:32:33.1113303Z  - 
2022-11-23T01:32:33.1113438Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1113505Z             {
2022-11-23T01:32:33.1113638Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1113813Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1113936Z                 'obj_weakref': None
2022-11-23T01:32:33.1114176Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1114245Z             }
2022-11-23T01:32:33.1114313Z             
2022-11-23T01:32:33.1114387Z  - 
2022-11-23T01:32:33.1114506Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1114577Z             {
2022-11-23T01:32:33.1114718Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1114940Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1115063Z                 'obj_weakref': None
2022-11-23T01:32:33.1115291Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1115361Z             }
2022-11-23T01:32:33.1115428Z             
2022-11-23T01:32:33.1115687Z [2022-11-23 01:32:23,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 995
2022-11-23T01:32:33.1115977Z [2022-11-23 01:32:23,844] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1116350Z [2022-11-23 01:32:24,045] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/up/cupcxcz6oprt56n7tigf7jeygmsp72plpdwysv5lxt7iimzpp3sw.py
2022-11-23T01:32:33.1116618Z [2022-11-23 01:32:24,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 995
2022-11-23T01:32:33.1116644Z 
2022-11-23T01:32:33.1116744Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1116818Z import torch
2022-11-23T01:32:33.1116894Z import random
2022-11-23T01:32:33.1117015Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1117134Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1117139Z 
2022-11-23T01:32:33.1117221Z aten = torch.ops.aten
2022-11-23T01:32:33.1117360Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1117458Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1117463Z 
2022-11-23T01:32:33.1117536Z import triton
2022-11-23T01:32:33.1117632Z import triton.language as tl
2022-11-23T01:32:33.1117760Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1117895Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1117909Z 
2022-11-23T01:32:33.1117917Z 
2022-11-23T01:32:33.1118065Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1118140Z import triton
2022-11-23T01:32:33.1118235Z import triton.language as tl
2022-11-23T01:32:33.1118350Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1118453Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1118587Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1118714Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1118720Z 
2022-11-23T01:32:33.1119167Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp64', 1: '*fp32', 2: '*fp64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1119235Z @triton.jit
2022-11-23T01:32:33.1119415Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.1119490Z     xnumel = 10
2022-11-23T01:32:33.1119566Z     ynumel = 10
2022-11-23T01:32:33.1119664Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1119802Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1119887Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1119978Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.1120113Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.1120196Z     ymask = yindex < ynumel
2022-11-23T01:32:33.1120270Z     x0 = xindex
2022-11-23T01:32:33.1120341Z     y1 = yindex
2022-11-23T01:32:33.1120459Z     tmp0 = tl.load(in_ptr0 + (y1 + (10*x0)), xmask & ymask)
2022-11-23T01:32:33.1120578Z     tmp1 = tl.load(in_ptr1 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.1120662Z     tmp2 = tmp1.to(tl.float64)
2022-11-23T01:32:33.1120744Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1120906Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp3, xmask & ymask)
2022-11-23T01:32:33.1120996Z ''')
2022-11-23T01:32:33.1121002Z 
2022-11-23T01:32:33.1121006Z 
2022-11-23T01:32:33.1121099Z async_compile.wait(globals())
2022-11-23T01:32:33.1121179Z del async_compile
2022-11-23T01:32:33.1121184Z 
2022-11-23T01:32:33.1121258Z def call(args):
2022-11-23T01:32:33.1121338Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1121407Z     args.clear()
2022-11-23T01:32:33.1121610Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1121703Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1121850Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.1121923Z     del arg0_1
2022-11-23T01:32:33.1122037Z     del arg1_1
2022-11-23T01:32:33.1122115Z     return (buf0, )
2022-11-23T01:32:33.1122120Z 
2022-11-23T01:32:33.1122125Z 
2022-11-23T01:32:33.1122199Z if __name__ == "__main__":
2022-11-23T01:32:33.1122318Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1122473Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1122729Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1122932Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1123054Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1123059Z 
2022-11-23T01:32:33.1123130Z ok (0.220s)
2022-11-23T01:32:33.1123467Z   test_cuda_int_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1123775Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1123997Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1124254Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1124535Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1124852Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1125191Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1125511Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1125892Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1125991Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1126092Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1126164Z               4 BINARY_ADD
2022-11-23T01:32:33.1126260Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1126340Z               8 RETURN_VALUE
2022-11-23T01:32:33.1126405Z  
2022-11-23T01:32:33.1126411Z 
2022-11-23T01:32:33.1126725Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1126939Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1127183Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1127453Z [2022-11-23 01:32:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1127687Z [2022-11-23 01:32:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1127937Z [2022-11-23 01:32:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1128315Z [2022-11-23 01:32:24,051] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1128561Z [2022-11-23 01:32:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1128796Z [2022-11-23 01:32:24,052] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1129084Z [2022-11-23 01:32:24,052] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1129342Z [2022-11-23 01:32:24,055] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1129536Z [2022-11-23 01:32:24,055] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1129702Z  __compiled_fn_1014 <eval_with_key>.6214 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1129798Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1129884Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1130067Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1130170Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1130175Z 
2022-11-23T01:32:33.1130498Z [2022-11-23 01:32:24,055] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1130599Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1130700Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1130794Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1130887Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1130981Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1131078Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1131159Z              12 RETURN_VALUE
2022-11-23T01:32:33.1131165Z 
2022-11-23T01:32:33.1131229Z  
2022-11-23T01:32:33.1131545Z [2022-11-23 01:32:24,055] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1131663Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1014)
2022-11-23T01:32:33.1131761Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1131850Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1131931Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1132030Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1132125Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1132206Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1132299Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1132416Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1132543Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1132653Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1132745Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1132838Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1132921Z              26 RETURN_VALUE
2022-11-23T01:32:33.1132927Z 
2022-11-23T01:32:33.1132993Z  
2022-11-23T01:32:33.1133184Z [2022-11-23 01:32:24,056] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1133253Z  - 
2022-11-23T01:32:33.1133375Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1133445Z             {
2022-11-23T01:32:33.1133593Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1133789Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1133913Z                 'obj_weakref': None
2022-11-23T01:32:33.1134139Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1134210Z             }
2022-11-23T01:32:33.1134272Z             
2022-11-23T01:32:33.1134348Z  - 
2022-11-23T01:32:33.1134475Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1134544Z             {
2022-11-23T01:32:33.1134692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1134805Z                 'code': None,
2022-11-23T01:32:33.1135011Z                 'obj_weakref': <weakref at 0x7f1feacec590; to 'Tensor' at 0x7f1f25b2f510>
2022-11-23T01:32:33.1135264Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1135333Z             }
2022-11-23T01:32:33.1135435Z             
2022-11-23T01:32:33.1135512Z  - 
2022-11-23T01:32:33.1135641Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1135711Z             {
2022-11-23T01:32:33.1135853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1135967Z                 'code': None,
2022-11-23T01:32:33.1136209Z                 'obj_weakref': <weakref at 0x7f1f361067a0; to 'Tensor' at 0x7f1f25b2cd60>
2022-11-23T01:32:33.1136464Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1136533Z             }
2022-11-23T01:32:33.1136601Z             
2022-11-23T01:32:33.1136678Z  - 
2022-11-23T01:32:33.1136806Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1136875Z             {
2022-11-23T01:32:33.1137017Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1137194Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1137326Z                 'obj_weakref': None
2022-11-23T01:32:33.1137561Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1137630Z             }
2022-11-23T01:32:33.1137691Z             
2022-11-23T01:32:33.1137768Z  - 
2022-11-23T01:32:33.1137899Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1137969Z             {
2022-11-23T01:32:33.1138111Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1138333Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1138456Z                 'obj_weakref': None
2022-11-23T01:32:33.1138683Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1138745Z             }
2022-11-23T01:32:33.1139057Z             
2022-11-23T01:32:33.1139338Z [2022-11-23 01:32:24,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 996
2022-11-23T01:32:33.1139599Z [2022-11-23 01:32:24,063] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1139961Z [2022-11-23 01:32:24,125] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ux/cuxa26t4mm2ifyt3nj2ny6jqthxkf5cssvu4a2ozbw6thyrqmgzf.py
2022-11-23T01:32:33.1140233Z [2022-11-23 01:32:24,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 996
2022-11-23T01:32:33.1140239Z 
2022-11-23T01:32:33.1140339Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1140414Z import torch
2022-11-23T01:32:33.1140482Z import random
2022-11-23T01:32:33.1140604Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1140729Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1140734Z 
2022-11-23T01:32:33.1140818Z aten = torch.ops.aten
2022-11-23T01:32:33.1140958Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1141061Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1141068Z 
2022-11-23T01:32:33.1141142Z import triton
2022-11-23T01:32:33.1141228Z import triton.language as tl
2022-11-23T01:32:33.1141358Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1141502Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1141510Z 
2022-11-23T01:32:33.1141515Z 
2022-11-23T01:32:33.1141675Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1141751Z import triton
2022-11-23T01:32:33.1141843Z import triton.language as tl
2022-11-23T01:32:33.1141960Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1142062Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1142191Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1142320Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1142325Z 
2022-11-23T01:32:33.1142823Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1142901Z @triton.jit
2022-11-23T01:32:33.1143048Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1143123Z     xnumel = 10
2022-11-23T01:32:33.1143255Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1143388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1143466Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1143538Z     x0 = xindex
2022-11-23T01:32:33.1143637Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1143734Z     tmp2 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1143823Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1143903Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1144041Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1144121Z ''')
2022-11-23T01:32:33.1144126Z 
2022-11-23T01:32:33.1144131Z 
2022-11-23T01:32:33.1144229Z async_compile.wait(globals())
2022-11-23T01:32:33.1144307Z del async_compile
2022-11-23T01:32:33.1144312Z 
2022-11-23T01:32:33.1144387Z def call(args):
2022-11-23T01:32:33.1144467Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1144542Z     args.clear()
2022-11-23T01:32:33.1144744Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1144831Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1144979Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.1145051Z     del arg0_1
2022-11-23T01:32:33.1145125Z     del arg1_1
2022-11-23T01:32:33.1145205Z     return (buf0, )
2022-11-23T01:32:33.1145210Z 
2022-11-23T01:32:33.1145215Z 
2022-11-23T01:32:33.1145295Z if __name__ == "__main__":
2022-11-23T01:32:33.1145414Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1145543Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1145733Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1145931Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1146052Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1146057Z 
2022-11-23T01:32:33.1146128Z ok (0.080s)
2022-11-23T01:32:33.1146472Z   test_cuda_int_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,129] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1146786Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1147006Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1147259Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1147541Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1147852Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1148200Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1148527Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1148913Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1149013Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1149110Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1149224Z               4 BINARY_ADD
2022-11-23T01:32:33.1149324Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1149407Z               8 RETURN_VALUE
2022-11-23T01:32:33.1149467Z  
2022-11-23T01:32:33.1149471Z 
2022-11-23T01:32:33.1149788Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1150028Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1150372Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1150685Z [2022-11-23 01:32:24,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1150927Z [2022-11-23 01:32:24,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1151174Z [2022-11-23 01:32:24,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1151550Z [2022-11-23 01:32:24,131] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1151804Z [2022-11-23 01:32:24,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1152035Z [2022-11-23 01:32:24,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1152296Z [2022-11-23 01:32:24,132] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1152577Z [2022-11-23 01:32:24,135] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1152798Z [2022-11-23 01:32:24,135] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1152949Z  __compiled_fn_1015 <eval_with_key>.6220 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1153043Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1153137Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1153318Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1153412Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1153427Z 
2022-11-23T01:32:33.1153753Z [2022-11-23 01:32:24,135] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1153854Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1153952Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1154047Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1154147Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1154241Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1154335Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1154409Z              12 RETURN_VALUE
2022-11-23T01:32:33.1154416Z 
2022-11-23T01:32:33.1154484Z  
2022-11-23T01:32:33.1154811Z [2022-11-23 01:32:24,135] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1154930Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1015)
2022-11-23T01:32:33.1155032Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1155131Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1155214Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1155308Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1155396Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1155479Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1155573Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1155687Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1155798Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1155929Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1156014Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1156102Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1156187Z              26 RETURN_VALUE
2022-11-23T01:32:33.1156225Z 
2022-11-23T01:32:33.1156295Z  
2022-11-23T01:32:33.1156497Z [2022-11-23 01:32:24,136] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1156575Z  - 
2022-11-23T01:32:33.1156704Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1156775Z             {
2022-11-23T01:32:33.1156914Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1157110Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1157234Z                 'obj_weakref': None
2022-11-23T01:32:33.1157469Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1157540Z             }
2022-11-23T01:32:33.1157613Z             
2022-11-23T01:32:33.1157692Z  - 
2022-11-23T01:32:33.1157814Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1157884Z             {
2022-11-23T01:32:33.1158032Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1158145Z                 'code': None,
2022-11-23T01:32:33.1158364Z                 'obj_weakref': <weakref at 0x7f1f36110040; to 'Tensor' at 0x7f1fe812d0d0>
2022-11-23T01:32:33.1158619Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1165190Z             }
2022-11-23T01:32:33.1165284Z             
2022-11-23T01:32:33.1165386Z  - 
2022-11-23T01:32:33.1165525Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1165598Z             {
2022-11-23T01:32:33.1165752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1165867Z                 'code': None,
2022-11-23T01:32:33.1166083Z                 'obj_weakref': <weakref at 0x7f1f25e7df80; to 'Tensor' at 0x7f2151f1b0b0>
2022-11-23T01:32:33.1166336Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1166409Z             }
2022-11-23T01:32:33.1166478Z             
2022-11-23T01:32:33.1166557Z  - 
2022-11-23T01:32:33.1166696Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1166765Z             {
2022-11-23T01:32:33.1166904Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1167073Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1167199Z                 'obj_weakref': None
2022-11-23T01:32:33.1167432Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1167502Z             }
2022-11-23T01:32:33.1167570Z             
2022-11-23T01:32:33.1167644Z  - 
2022-11-23T01:32:33.1167770Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1167832Z             {
2022-11-23T01:32:33.1167974Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1168193Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1168315Z                 'obj_weakref': None
2022-11-23T01:32:33.1168537Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1168609Z             }
2022-11-23T01:32:33.1168677Z             
2022-11-23T01:32:33.1168933Z [2022-11-23 01:32:24,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 997
2022-11-23T01:32:33.1169184Z [2022-11-23 01:32:24,144] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1169547Z [2022-11-23 01:32:24,211] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yi/cyil6bx743btftdydfosqwmy5fh66rw4pbooq2mu4agrelvixauz.py
2022-11-23T01:32:33.1169879Z [2022-11-23 01:32:24,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 997
2022-11-23T01:32:33.1169886Z 
2022-11-23T01:32:33.1169989Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1170064Z import torch
2022-11-23T01:32:33.1170139Z import random
2022-11-23T01:32:33.1170262Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1170409Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1170422Z 
2022-11-23T01:32:33.1170498Z aten = torch.ops.aten
2022-11-23T01:32:33.1170639Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1170737Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1170742Z 
2022-11-23T01:32:33.1170818Z import triton
2022-11-23T01:32:33.1170914Z import triton.language as tl
2022-11-23T01:32:33.1171044Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1171191Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1171197Z 
2022-11-23T01:32:33.1171201Z 
2022-11-23T01:32:33.1171351Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1171432Z import triton
2022-11-23T01:32:33.1171526Z import triton.language as tl
2022-11-23T01:32:33.1171641Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1171745Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1171883Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1172017Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1172022Z 
2022-11-23T01:32:33.1172410Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1172477Z @triton.jit
2022-11-23T01:32:33.1172624Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1172700Z     xnumel = 100
2022-11-23T01:32:33.1172799Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1172958Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1173048Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1173142Z     x0 = xindex % 10
2022-11-23T01:32:33.1173219Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1173290Z     x2 = xindex
2022-11-23T01:32:33.1173390Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1173492Z     tmp2 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.1173581Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1173661Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1173800Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1173881Z ''')
2022-11-23T01:32:33.1173886Z 
2022-11-23T01:32:33.1173899Z 
2022-11-23T01:32:33.1173986Z async_compile.wait(globals())
2022-11-23T01:32:33.1174063Z del async_compile
2022-11-23T01:32:33.1174068Z 
2022-11-23T01:32:33.1174145Z def call(args):
2022-11-23T01:32:33.1174224Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1174300Z     args.clear()
2022-11-23T01:32:33.1174518Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1174612Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1174751Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1174824Z     del arg0_1
2022-11-23T01:32:33.1174900Z     del arg1_1
2022-11-23T01:32:33.1174977Z     return (buf0, )
2022-11-23T01:32:33.1174982Z 
2022-11-23T01:32:33.1174987Z 
2022-11-23T01:32:33.1175068Z if __name__ == "__main__":
2022-11-23T01:32:33.1175189Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1175320Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1175509Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1175717Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1175839Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1175844Z 
2022-11-23T01:32:33.1175917Z ok (0.086s)
2022-11-23T01:32:33.1176306Z   test_cuda_int_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1176624Z [2022-11-23 01:32:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1176873Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1177133Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1177413Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1177732Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1178070Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1178390Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1179125Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1179233Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1179332Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1179411Z               4 BINARY_ADD
2022-11-23T01:32:33.1179511Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1179593Z               8 RETURN_VALUE
2022-11-23T01:32:33.1179654Z  
2022-11-23T01:32:33.1179659Z 
2022-11-23T01:32:33.1179978Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1180192Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1180434Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1180707Z [2022-11-23 01:32:24,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1180951Z [2022-11-23 01:32:24,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1181197Z [2022-11-23 01:32:24,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1181573Z [2022-11-23 01:32:24,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1181820Z [2022-11-23 01:32:24,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1182056Z [2022-11-23 01:32:24,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1182304Z [2022-11-23 01:32:24,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1182561Z [2022-11-23 01:32:24,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1182762Z [2022-11-23 01:32:24,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1182926Z  __compiled_fn_1016 <eval_with_key>.6226 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1183045Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1183141Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1183325Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1183425Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1183502Z 
2022-11-23T01:32:33.1183821Z [2022-11-23 01:32:24,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1183923Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1184062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1184156Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1184257Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1184351Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1184446Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1184521Z              12 RETURN_VALUE
2022-11-23T01:32:33.1184535Z 
2022-11-23T01:32:33.1184594Z  
2022-11-23T01:32:33.1184912Z [2022-11-23 01:32:24,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1185033Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1016)
2022-11-23T01:32:33.1185131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1185229Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1185311Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1185411Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1185498Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1185581Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1185675Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1185789Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1185899Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1185995Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1186077Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1186164Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1186245Z              26 RETURN_VALUE
2022-11-23T01:32:33.1186250Z 
2022-11-23T01:32:33.1186322Z  
2022-11-23T01:32:33.1186511Z [2022-11-23 01:32:24,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1186587Z  - 
2022-11-23T01:32:33.1186711Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1186781Z             {
2022-11-23T01:32:33.1186922Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1187113Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1187237Z                 'obj_weakref': None
2022-11-23T01:32:33.1187466Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1187536Z             }
2022-11-23T01:32:33.1187605Z             
2022-11-23T01:32:33.1187682Z  - 
2022-11-23T01:32:33.1187803Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1187872Z             {
2022-11-23T01:32:33.1188019Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1188132Z                 'code': None,
2022-11-23T01:32:33.1188351Z                 'obj_weakref': <weakref at 0x7f1f25e7f150; to 'Tensor' at 0x7f1fd97d8f90>
2022-11-23T01:32:33.1188605Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1188676Z             }
2022-11-23T01:32:33.1188748Z             
2022-11-23T01:32:33.1188817Z  - 
2022-11-23T01:32:33.1188944Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1189012Z             {
2022-11-23T01:32:33.1189160Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1189270Z                 'code': None,
2022-11-23T01:32:33.1189480Z                 'obj_weakref': <weakref at 0x7f1f25e7c130; to 'Tensor' at 0x7f2151f1b100>
2022-11-23T01:32:33.1189730Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1189792Z             }
2022-11-23T01:32:33.1189861Z             
2022-11-23T01:32:33.1189941Z  - 
2022-11-23T01:32:33.1190111Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1190182Z             {
2022-11-23T01:32:33.1190447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1190639Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1190838Z                 'obj_weakref': None
2022-11-23T01:32:33.1191076Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1191148Z             }
2022-11-23T01:32:33.1191221Z             
2022-11-23T01:32:33.1191297Z  - 
2022-11-23T01:32:33.1191425Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1191488Z             {
2022-11-23T01:32:33.1191631Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1191855Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1191982Z                 'obj_weakref': None
2022-11-23T01:32:33.1192213Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1192284Z             }
2022-11-23T01:32:33.1192352Z             
2022-11-23T01:32:33.1192622Z [2022-11-23 01:32:24,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 998
2022-11-23T01:32:33.1192872Z [2022-11-23 01:32:24,229] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1193242Z [2022-11-23 01:32:24,290] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kf/ckfw7vpojhcokyt6dzscxuosh53pu7b27kcymbsdfrkj5q6ka5rw.py
2022-11-23T01:32:33.1193509Z [2022-11-23 01:32:24,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 998
2022-11-23T01:32:33.1193515Z 
2022-11-23T01:32:33.1193616Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1193692Z import torch
2022-11-23T01:32:33.1193768Z import random
2022-11-23T01:32:33.1193890Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1194021Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1194026Z 
2022-11-23T01:32:33.1194104Z aten = torch.ops.aten
2022-11-23T01:32:33.1194244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1194343Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1194351Z 
2022-11-23T01:32:33.1194427Z import triton
2022-11-23T01:32:33.1194521Z import triton.language as tl
2022-11-23T01:32:33.1194650Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1194795Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1194800Z 
2022-11-23T01:32:33.1194805Z 
2022-11-23T01:32:33.1194963Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1195031Z import triton
2022-11-23T01:32:33.1195129Z import triton.language as tl
2022-11-23T01:32:33.1195246Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1195350Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1195488Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1195619Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1195624Z 
2022-11-23T01:32:33.1196012Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1196090Z @triton.jit
2022-11-23T01:32:33.1196229Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1196306Z     xnumel = 10
2022-11-23T01:32:33.1196405Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1196541Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1196625Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1196697Z     x0 = xindex
2022-11-23T01:32:33.1196795Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1196923Z     tmp2 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.1197047Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1197129Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1197266Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1197352Z ''')
2022-11-23T01:32:33.1197358Z 
2022-11-23T01:32:33.1197386Z 
2022-11-23T01:32:33.1197480Z async_compile.wait(globals())
2022-11-23T01:32:33.1197557Z del async_compile
2022-11-23T01:32:33.1197562Z 
2022-11-23T01:32:33.1197638Z def call(args):
2022-11-23T01:32:33.1197711Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1197787Z     args.clear()
2022-11-23T01:32:33.1197987Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1198081Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1198231Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.1198305Z     del arg0_1
2022-11-23T01:32:33.1198376Z     del arg1_1
2022-11-23T01:32:33.1198446Z     return (buf0, )
2022-11-23T01:32:33.1198454Z 
2022-11-23T01:32:33.1198458Z 
2022-11-23T01:32:33.1198541Z if __name__ == "__main__":
2022-11-23T01:32:33.1198659Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1198790Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1198989Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1199181Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1199304Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1199309Z 
2022-11-23T01:32:33.1199382Z ok (0.079s)
2022-11-23T01:32:33.1199707Z   test_cuda_int_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1200023Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1200248Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1200507Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1200785Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1201107Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1201446Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1201766Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1202144Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1202246Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1202337Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1202437Z               4 BINARY_ADD
2022-11-23T01:32:33.1202540Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1202642Z               8 RETURN_VALUE
2022-11-23T01:32:33.1202714Z  
2022-11-23T01:32:33.1202719Z 
2022-11-23T01:32:33.1203030Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1203242Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1203486Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1203778Z [2022-11-23 01:32:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1204023Z [2022-11-23 01:32:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1204268Z [2022-11-23 01:32:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1204668Z [2022-11-23 01:32:24,296] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1204914Z [2022-11-23 01:32:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1205152Z [2022-11-23 01:32:24,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1205405Z [2022-11-23 01:32:24,297] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1205665Z [2022-11-23 01:32:24,300] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1205860Z [2022-11-23 01:32:24,300] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1205995Z  __compiled_fn_1017 <eval_with_key>.6232 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1206093Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1206187Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1206369Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1206471Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1206477Z 
2022-11-23T01:32:33.1206810Z [2022-11-23 01:32:24,300] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1206912Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1207010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1207099Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1207199Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1207290Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1207386Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1207472Z              12 RETURN_VALUE
2022-11-23T01:32:33.1207477Z 
2022-11-23T01:32:33.1207544Z  
2022-11-23T01:32:33.1207869Z [2022-11-23 01:32:24,300] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1207988Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1017)
2022-11-23T01:32:33.1208079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1208176Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1208261Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1208357Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1208455Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1208535Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1208630Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1208736Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1208846Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1208945Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1209026Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1209120Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1209201Z              26 RETURN_VALUE
2022-11-23T01:32:33.1209206Z 
2022-11-23T01:32:33.1209273Z  
2022-11-23T01:32:33.1209454Z [2022-11-23 01:32:24,301] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1209531Z  - 
2022-11-23T01:32:33.1209656Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1209726Z             {
2022-11-23T01:32:33.1209872Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1210097Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1210227Z                 'obj_weakref': None
2022-11-23T01:32:33.1210447Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1210518Z             }
2022-11-23T01:32:33.1210613Z             
2022-11-23T01:32:33.1210691Z  - 
2022-11-23T01:32:33.1210821Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1210891Z             {
2022-11-23T01:32:33.1211038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1211143Z                 'code': None,
2022-11-23T01:32:33.1211360Z                 'obj_weakref': <weakref at 0x7f1f25e741d0; to 'Tensor' at 0x7f1fe812d0d0>
2022-11-23T01:32:33.1211610Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1211680Z             }
2022-11-23T01:32:33.1211749Z             
2022-11-23T01:32:33.1211826Z  - 
2022-11-23T01:32:33.1211958Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1212020Z             {
2022-11-23T01:32:33.1212169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1212280Z                 'code': None,
2022-11-23T01:32:33.1212510Z                 'obj_weakref': <weakref at 0x7f1f25e76700; to 'Tensor' at 0x7f1ffad44360>
2022-11-23T01:32:33.1212798Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1212868Z             }
2022-11-23T01:32:33.1212937Z             
2022-11-23T01:32:33.1213006Z  - 
2022-11-23T01:32:33.1213141Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1213211Z             {
2022-11-23T01:32:33.1213353Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1213530Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1213656Z                 'obj_weakref': None
2022-11-23T01:32:33.1213897Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1213959Z             }
2022-11-23T01:32:33.1214028Z             
2022-11-23T01:32:33.1214103Z  - 
2022-11-23T01:32:33.1214231Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1214300Z             {
2022-11-23T01:32:33.1214449Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1214676Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1214793Z                 'obj_weakref': None
2022-11-23T01:32:33.1215021Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1215091Z             }
2022-11-23T01:32:33.1215164Z             
2022-11-23T01:32:33.1215429Z [2022-11-23 01:32:24,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 999
2022-11-23T01:32:33.1215682Z [2022-11-23 01:32:24,309] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1216055Z [2022-11-23 01:32:24,373] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23oqzgspu7mstmnwacexedn6dwxz2vgzbcnb2vwnlukqb7ygph6.py
2022-11-23T01:32:33.1216325Z [2022-11-23 01:32:24,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 999
2022-11-23T01:32:33.1216334Z 
2022-11-23T01:32:33.1216435Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1216503Z import torch
2022-11-23T01:32:33.1216577Z import random
2022-11-23T01:32:33.1216702Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1216828Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1216833Z 
2022-11-23T01:32:33.1216918Z aten = torch.ops.aten
2022-11-23T01:32:33.1217057Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1217156Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1217161Z 
2022-11-23T01:32:33.1217229Z import triton
2022-11-23T01:32:33.1217359Z import triton.language as tl
2022-11-23T01:32:33.1217489Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1217634Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1217640Z 
2022-11-23T01:32:33.1217644Z 
2022-11-23T01:32:33.1217834Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1217909Z import triton
2022-11-23T01:32:33.1218001Z import triton.language as tl
2022-11-23T01:32:33.1218120Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1218217Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1218355Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1218485Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1218491Z 
2022-11-23T01:32:33.1219346Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1219460Z @triton.jit
2022-11-23T01:32:33.1219648Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1219732Z     xnumel = 100
2022-11-23T01:32:33.1219831Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1219961Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1220046Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1220124Z     x0 = xindex % 10
2022-11-23T01:32:33.1220196Z     x2 = xindex
2022-11-23T01:32:33.1220298Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1220395Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.1220477Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1220556Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1220694Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1220798Z ''')
2022-11-23T01:32:33.1220803Z 
2022-11-23T01:32:33.1220808Z 
2022-11-23T01:32:33.1220902Z async_compile.wait(globals())
2022-11-23T01:32:33.1220981Z del async_compile
2022-11-23T01:32:33.1220986Z 
2022-11-23T01:32:33.1221063Z def call(args):
2022-11-23T01:32:33.1221148Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1221217Z     args.clear()
2022-11-23T01:32:33.1221424Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1221518Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1221668Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1221741Z     del arg0_1
2022-11-23T01:32:33.1221816Z     del arg1_1
2022-11-23T01:32:33.1221894Z     return (buf0, )
2022-11-23T01:32:33.1221900Z 
2022-11-23T01:32:33.1221904Z 
2022-11-23T01:32:33.1221985Z if __name__ == "__main__":
2022-11-23T01:32:33.1222097Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1222227Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1222426Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1222631Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1222752Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1222757Z 
2022-11-23T01:32:33.1222834Z ok (0.082s)
2022-11-23T01:32:33.1223179Z   test_cuda_int_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1223499Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1223715Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1223977Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1224378Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1224705Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1225053Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1225411Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1225792Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1225892Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1225989Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1226060Z               4 BINARY_ADD
2022-11-23T01:32:33.1226159Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1226239Z               8 RETURN_VALUE
2022-11-23T01:32:33.1226304Z  
2022-11-23T01:32:33.1226309Z 
2022-11-23T01:32:33.1226627Z [2022-11-23 01:32:24,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1226844Z [2022-11-23 01:32:24,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1227086Z [2022-11-23 01:32:24,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1227361Z [2022-11-23 01:32:24,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1227607Z [2022-11-23 01:32:24,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1227853Z [2022-11-23 01:32:24,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1228237Z [2022-11-23 01:32:24,379] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1228485Z [2022-11-23 01:32:24,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1228729Z [2022-11-23 01:32:24,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1228988Z [2022-11-23 01:32:24,380] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1229242Z [2022-11-23 01:32:24,383] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1229435Z [2022-11-23 01:32:24,383] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1229578Z  __compiled_fn_1018 <eval_with_key>.6238 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1229675Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1229761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1229944Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1230043Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1230051Z 
2022-11-23T01:32:33.1230505Z [2022-11-23 01:32:24,383] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1230609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1230710Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1230804Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1230905Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1230991Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1231085Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1231165Z              12 RETURN_VALUE
2022-11-23T01:32:33.1231170Z 
2022-11-23T01:32:33.1231268Z  
2022-11-23T01:32:33.1231589Z [2022-11-23 01:32:24,383] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1231708Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1018)
2022-11-23T01:32:33.1231827Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1231918Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1232001Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1232098Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1232195Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1232277Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1232372Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1232485Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1232589Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1232688Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1232770Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1232863Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1232943Z              26 RETURN_VALUE
2022-11-23T01:32:33.1232949Z 
2022-11-23T01:32:33.1233014Z  
2022-11-23T01:32:33.1233205Z [2022-11-23 01:32:24,384] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1233280Z  - 
2022-11-23T01:32:33.1233398Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1233468Z             {
2022-11-23T01:32:33.1233612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1233803Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1233927Z                 'obj_weakref': None
2022-11-23T01:32:33.1234153Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1234223Z             }
2022-11-23T01:32:33.1234284Z             
2022-11-23T01:32:33.1234361Z  - 
2022-11-23T01:32:33.1234493Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1234563Z             {
2022-11-23T01:32:33.1234712Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1234823Z                 'code': None,
2022-11-23T01:32:33.1235035Z                 'obj_weakref': <weakref at 0x7f1f25ba4810; to 'Tensor' at 0x7f1f25ecf330>
2022-11-23T01:32:33.1235283Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1235352Z             }
2022-11-23T01:32:33.1235421Z             
2022-11-23T01:32:33.1235497Z  - 
2022-11-23T01:32:33.1235626Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1235695Z             {
2022-11-23T01:32:33.1235845Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1235950Z                 'code': None,
2022-11-23T01:32:33.1236163Z                 'obj_weakref': <weakref at 0x7f1f25ba5170; to 'Tensor' at 0x7f2151f1b1a0>
2022-11-23T01:32:33.1236421Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1236494Z             }
2022-11-23T01:32:33.1236564Z             
2022-11-23T01:32:33.1236638Z  - 
2022-11-23T01:32:33.1236776Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1236841Z             {
2022-11-23T01:32:33.1236982Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1237162Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1237287Z                 'obj_weakref': None
2022-11-23T01:32:33.1237522Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1237590Z             }
2022-11-23T01:32:33.1237659Z             
2022-11-23T01:32:33.1237728Z  - 
2022-11-23T01:32:33.1237855Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1237925Z             {
2022-11-23T01:32:33.1238067Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1238322Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1238448Z                 'obj_weakref': None
2022-11-23T01:32:33.1238675Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1238761Z             }
2022-11-23T01:32:33.1238830Z             
2022-11-23T01:32:33.1239101Z [2022-11-23 01:32:24,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1000
2022-11-23T01:32:33.1239355Z [2022-11-23 01:32:24,392] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1239723Z [2022-11-23 01:32:24,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calom3isb7qhicojawsn5myzbnmpv77rxw3utwkwj6ns7lmtpxda.py
2022-11-23T01:32:33.1239997Z [2022-11-23 01:32:24,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1000
2022-11-23T01:32:33.1240003Z 
2022-11-23T01:32:33.1240109Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1240186Z import torch
2022-11-23T01:32:33.1240254Z import random
2022-11-23T01:32:33.1240377Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1240504Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1240512Z 
2022-11-23T01:32:33.1240595Z aten = torch.ops.aten
2022-11-23T01:32:33.1240735Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1240832Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1240837Z 
2022-11-23T01:32:33.1240913Z import triton
2022-11-23T01:32:33.1241000Z import triton.language as tl
2022-11-23T01:32:33.1241129Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1241274Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1241280Z 
2022-11-23T01:32:33.1241284Z 
2022-11-23T01:32:33.1241442Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1241519Z import triton
2022-11-23T01:32:33.1241614Z import triton.language as tl
2022-11-23T01:32:33.1241731Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1241835Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1241963Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1242097Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1242102Z 
2022-11-23T01:32:33.1242522Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1242599Z @triton.jit
2022-11-23T01:32:33.1242768Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1242844Z     xnumel = 100
2022-11-23T01:32:33.1242943Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1243075Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1243155Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1243232Z     x0 = xindex % 10
2022-11-23T01:32:33.1243303Z     x2 = xindex
2022-11-23T01:32:33.1243403Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1243501Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.1243593Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.1243673Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1243803Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1243891Z ''')
2022-11-23T01:32:33.1243896Z 
2022-11-23T01:32:33.1243901Z 
2022-11-23T01:32:33.1243998Z async_compile.wait(globals())
2022-11-23T01:32:33.1244075Z del async_compile
2022-11-23T01:32:33.1244080Z 
2022-11-23T01:32:33.1244156Z def call(args):
2022-11-23T01:32:33.1244241Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1244317Z     args.clear()
2022-11-23T01:32:33.1244524Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1244641Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1244791Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1244864Z     del arg0_1
2022-11-23T01:32:33.1244936Z     del arg1_1
2022-11-23T01:32:33.1245012Z     return (buf0, )
2022-11-23T01:32:33.1245040Z 
2022-11-23T01:32:33.1245044Z 
2022-11-23T01:32:33.1245126Z if __name__ == "__main__":
2022-11-23T01:32:33.1245247Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1245370Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1245567Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1245773Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1245894Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1245899Z 
2022-11-23T01:32:33.1245972Z ok (0.085s)
2022-11-23T01:32:33.1246309Z   test_cuda_int_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1246631Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1246860Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1247119Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1247393Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1247718Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1248067Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1248392Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1248776Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1248880Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1248978Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1249058Z               4 BINARY_ADD
2022-11-23T01:32:33.1249154Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1249229Z               8 RETURN_VALUE
2022-11-23T01:32:33.1249298Z  
2022-11-23T01:32:33.1249303Z 
2022-11-23T01:32:33.1249623Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1249841Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1250085Z [2022-11-23 01:32:24,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1250363Z [2022-11-23 01:32:24,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1250614Z [2022-11-23 01:32:24,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1250865Z [2022-11-23 01:32:24,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1251249Z [2022-11-23 01:32:24,463] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1251521Z [2022-11-23 01:32:24,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1251761Z [2022-11-23 01:32:24,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1252022Z [2022-11-23 01:32:24,464] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1252298Z [2022-11-23 01:32:24,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1252497Z [2022-11-23 01:32:24,467] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1252664Z  __compiled_fn_1019 <eval_with_key>.6244 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1252772Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1252877Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1253052Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1253155Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1253161Z 
2022-11-23T01:32:33.1253495Z [2022-11-23 01:32:24,467] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1253598Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1253697Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1253794Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1253896Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1253987Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1254075Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1254157Z              12 RETURN_VALUE
2022-11-23T01:32:33.1254162Z 
2022-11-23T01:32:33.1254227Z  
2022-11-23T01:32:33.1254551Z [2022-11-23 01:32:24,467] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1254668Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1019)
2022-11-23T01:32:33.1254769Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1254867Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1254950Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1255038Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1255134Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1255221Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1255315Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1255427Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1255537Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1255632Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1255707Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1255803Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1255885Z              26 RETURN_VALUE
2022-11-23T01:32:33.1255890Z 
2022-11-23T01:32:33.1255955Z  
2022-11-23T01:32:33.1256148Z [2022-11-23 01:32:24,468] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1256224Z  - 
2022-11-23T01:32:33.1256350Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1256413Z             {
2022-11-23T01:32:33.1256557Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1256751Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1256881Z                 'obj_weakref': None
2022-11-23T01:32:33.1257108Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1257178Z             }
2022-11-23T01:32:33.1257247Z             
2022-11-23T01:32:33.1257316Z  - 
2022-11-23T01:32:33.1257447Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1257515Z             {
2022-11-23T01:32:33.1257661Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1257777Z                 'code': None,
2022-11-23T01:32:33.1257995Z                 'obj_weakref': <weakref at 0x7f1f25e744a0; to 'Tensor' at 0x7f1fe81df830>
2022-11-23T01:32:33.1258276Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1258341Z             }
2022-11-23T01:32:33.1258411Z             
2022-11-23T01:32:33.1258488Z  - 
2022-11-23T01:32:33.1258639Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1258709Z             {
2022-11-23T01:32:33.1259294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1259413Z                 'code': None,
2022-11-23T01:32:33.1259615Z                 'obj_weakref': <weakref at 0x7f1f25e77e70; to 'Tensor' at 0x7f2151f1a980>
2022-11-23T01:32:33.1259866Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1259936Z             }
2022-11-23T01:32:33.1260003Z             
2022-11-23T01:32:33.1260081Z  - 
2022-11-23T01:32:33.1260217Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1260286Z             {
2022-11-23T01:32:33.1260423Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1260599Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1260726Z                 'obj_weakref': None
2022-11-23T01:32:33.1260960Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1261032Z             }
2022-11-23T01:32:33.1261101Z             
2022-11-23T01:32:33.1261177Z  - 
2022-11-23T01:32:33.1261297Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1261366Z             {
2022-11-23T01:32:33.1261507Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1261728Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1261853Z                 'obj_weakref': None
2022-11-23T01:32:33.1262080Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1262149Z             }
2022-11-23T01:32:33.1262212Z             
2022-11-23T01:32:33.1262484Z [2022-11-23 01:32:24,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1001
2022-11-23T01:32:33.1262742Z [2022-11-23 01:32:24,475] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1263110Z [2022-11-23 01:32:24,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xl/cxlqgs4pjmoliysnutzxdgx4dyvl4phuvje7qmklhzl2qqryuydf.py
2022-11-23T01:32:33.1263384Z [2022-11-23 01:32:24,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1001
2022-11-23T01:32:33.1263390Z 
2022-11-23T01:32:33.1263489Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1263565Z import torch
2022-11-23T01:32:33.1263641Z import random
2022-11-23T01:32:33.1263757Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1263886Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1263891Z 
2022-11-23T01:32:33.1263975Z aten = torch.ops.aten
2022-11-23T01:32:33.1264116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1264215Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1264220Z 
2022-11-23T01:32:33.1264295Z import triton
2022-11-23T01:32:33.1264391Z import triton.language as tl
2022-11-23T01:32:33.1264519Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1264655Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1264661Z 
2022-11-23T01:32:33.1264673Z 
2022-11-23T01:32:33.1264821Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1264900Z import triton
2022-11-23T01:32:33.1264992Z import triton.language as tl
2022-11-23T01:32:33.1265107Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1265211Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1265346Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1265538Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1265545Z 
2022-11-23T01:32:33.1265920Z @pointwise(size_hints=[16], filename=__file__, meta={'signature': {0: '*i32', 1: '*i32', 2: '*i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1266028Z @triton.jit
2022-11-23T01:32:33.1266178Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1266253Z     xnumel = 10
2022-11-23T01:32:33.1266352Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1266484Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1266568Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1266641Z     x0 = xindex
2022-11-23T01:32:33.1266732Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1266831Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1266912Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1267055Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1267141Z ''')
2022-11-23T01:32:33.1267146Z 
2022-11-23T01:32:33.1267151Z 
2022-11-23T01:32:33.1267245Z async_compile.wait(globals())
2022-11-23T01:32:33.1267322Z del async_compile
2022-11-23T01:32:33.1267327Z 
2022-11-23T01:32:33.1267397Z def call(args):
2022-11-23T01:32:33.1267480Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1267555Z     args.clear()
2022-11-23T01:32:33.1267751Z     buf0 = empty_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1267842Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1267992Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, grid=grid(10), stream=stream0)
2022-11-23T01:32:33.1268067Z     del arg0_1
2022-11-23T01:32:33.1268133Z     del arg1_1
2022-11-23T01:32:33.1268211Z     return (buf0, )
2022-11-23T01:32:33.1268216Z 
2022-11-23T01:32:33.1268221Z 
2022-11-23T01:32:33.1268301Z if __name__ == "__main__":
2022-11-23T01:32:33.1268421Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1268553Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1268750Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1268943Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1269068Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1269073Z 
2022-11-23T01:32:33.1269139Z ok (0.084s)
2022-11-23T01:32:33.1269474Z   test_cuda_int_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1269790Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1270013Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1270393Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1270714Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1271345Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1271703Z [2022-11-23 01:32:24,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1272025Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1272403Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1272545Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1272639Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1272719Z               4 BINARY_ADD
2022-11-23T01:32:33.1272821Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1272918Z               8 RETURN_VALUE
2022-11-23T01:32:33.1273021Z  
2022-11-23T01:32:33.1273027Z 
2022-11-23T01:32:33.1273370Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1273582Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1273816Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1274088Z [2022-11-23 01:32:24,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1274334Z [2022-11-23 01:32:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1274583Z [2022-11-23 01:32:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1274962Z [2022-11-23 01:32:24,548] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1275213Z [2022-11-23 01:32:24,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1275453Z [2022-11-23 01:32:24,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1275714Z [2022-11-23 01:32:24,549] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1275970Z [2022-11-23 01:32:24,552] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1276168Z [2022-11-23 01:32:24,553] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1276305Z  __compiled_fn_1020 <eval_with_key>.6250 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1276401Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1276495Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1276682Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1276783Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1276789Z 
2022-11-23T01:32:33.1277121Z [2022-11-23 01:32:24,553] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1277223Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1277321Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1277409Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1277511Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1277610Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1277708Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1277790Z              12 RETURN_VALUE
2022-11-23T01:32:33.1277795Z 
2022-11-23T01:32:33.1277862Z  
2022-11-23T01:32:33.1278184Z [2022-11-23 01:32:24,553] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1278299Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1020)
2022-11-23T01:32:33.1278398Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1278495Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1278578Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1278674Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1278769Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1278852Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1278941Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1279086Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1279198Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1279295Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1279378Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1279498Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1279579Z              26 RETURN_VALUE
2022-11-23T01:32:33.1279585Z 
2022-11-23T01:32:33.1279651Z  
2022-11-23T01:32:33.1279835Z [2022-11-23 01:32:24,554] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1279914Z  - 
2022-11-23T01:32:33.1280040Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1280110Z             {
2022-11-23T01:32:33.1280258Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1280453Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1280580Z                 'obj_weakref': None
2022-11-23T01:32:33.1280806Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1280876Z             }
2022-11-23T01:32:33.1280944Z             
2022-11-23T01:32:33.1281023Z  - 
2022-11-23T01:32:33.1281152Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1281221Z             {
2022-11-23T01:32:33.1281374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1281480Z                 'code': None,
2022-11-23T01:32:33.1281695Z                 'obj_weakref': <weakref at 0x7f1f25ecc860; to 'Tensor' at 0x7f1fe81df830>
2022-11-23T01:32:33.1281947Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1282018Z             }
2022-11-23T01:32:33.1282086Z             
2022-11-23T01:32:33.1282164Z  - 
2022-11-23T01:32:33.1282293Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1282355Z             {
2022-11-23T01:32:33.1282504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1282619Z                 'code': None,
2022-11-23T01:32:33.1282837Z                 'obj_weakref': <weakref at 0x7f1f25e94180; to 'Tensor' at 0x7f1f25ee0450>
2022-11-23T01:32:33.1283131Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1283214Z             }
2022-11-23T01:32:33.1283283Z             
2022-11-23T01:32:33.1283353Z  - 
2022-11-23T01:32:33.1283490Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1283559Z             {
2022-11-23T01:32:33.1283701Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1283878Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1284005Z                 'obj_weakref': None
2022-11-23T01:32:33.1284239Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1284302Z             }
2022-11-23T01:32:33.1284371Z             
2022-11-23T01:32:33.1284447Z  - 
2022-11-23T01:32:33.1284578Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1284647Z             {
2022-11-23T01:32:33.1284791Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1285015Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1285135Z                 'obj_weakref': None
2022-11-23T01:32:33.1285365Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1285433Z             }
2022-11-23T01:32:33.1285501Z             
2022-11-23T01:32:33.1285769Z [2022-11-23 01:32:24,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1002
2022-11-23T01:32:33.1286024Z [2022-11-23 01:32:24,563] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1286392Z [2022-11-23 01:32:24,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3l/c3ljv25of2yplneazyarbgr2glivwak3fanwzmw3pctcscpllr62.py
2022-11-23T01:32:33.1286695Z [2022-11-23 01:32:24,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1002
2022-11-23T01:32:33.1286701Z 
2022-11-23T01:32:33.1286796Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1286872Z import torch
2022-11-23T01:32:33.1286976Z import random
2022-11-23T01:32:33.1287098Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1287225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1287230Z 
2022-11-23T01:32:33.1287314Z aten = torch.ops.aten
2022-11-23T01:32:33.1287455Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1287546Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1287559Z 
2022-11-23T01:32:33.1287627Z import triton
2022-11-23T01:32:33.1287720Z import triton.language as tl
2022-11-23T01:32:33.1287849Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1287995Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1288004Z 
2022-11-23T01:32:33.1288009Z 
2022-11-23T01:32:33.1288169Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1288244Z import triton
2022-11-23T01:32:33.1288338Z import triton.language as tl
2022-11-23T01:32:33.1288448Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1288557Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1288695Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1288824Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1288830Z 
2022-11-23T01:32:33.1289222Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1289297Z @triton.jit
2022-11-23T01:32:33.1289443Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1289518Z     xnumel = 100
2022-11-23T01:32:33.1289613Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1289748Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1289832Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1289910Z     x0 = xindex % 10
2022-11-23T01:32:33.1289994Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1290067Z     x2 = xindex
2022-11-23T01:32:33.1290169Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1290275Z     tmp2 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1290366Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1290445Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1290585Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1290673Z ''')
2022-11-23T01:32:33.1290678Z 
2022-11-23T01:32:33.1290683Z 
2022-11-23T01:32:33.1290777Z async_compile.wait(globals())
2022-11-23T01:32:33.1290856Z del async_compile
2022-11-23T01:32:33.1290862Z 
2022-11-23T01:32:33.1290942Z def call(args):
2022-11-23T01:32:33.1291019Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1291100Z     args.clear()
2022-11-23T01:32:33.1291306Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1291398Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1291548Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1291621Z     del arg0_1
2022-11-23T01:32:33.1291695Z     del arg1_1
2022-11-23T01:32:33.1291765Z     return (buf0, )
2022-11-23T01:32:33.1291771Z 
2022-11-23T01:32:33.1291775Z 
2022-11-23T01:32:33.1291856Z if __name__ == "__main__":
2022-11-23T01:32:33.1291976Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1292106Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1292304Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1292509Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1292663Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1292669Z 
2022-11-23T01:32:33.1292744Z ok (0.095s)
2022-11-23T01:32:33.1293107Z   test_cuda_int_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1293472Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1293695Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1293952Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1294237Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1294561Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1294906Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1295233Z [2022-11-23 01:32:24,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1295615Z [2022-11-23 01:32:24,642] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1295713Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1295804Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1295885Z               4 BINARY_ADD
2022-11-23T01:32:33.1295980Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1296062Z               8 RETURN_VALUE
2022-11-23T01:32:33.1296130Z  
2022-11-23T01:32:33.1296135Z 
2022-11-23T01:32:33.1296447Z [2022-11-23 01:32:24,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1296663Z [2022-11-23 01:32:24,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1296906Z [2022-11-23 01:32:24,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1297170Z [2022-11-23 01:32:24,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1297418Z [2022-11-23 01:32:24,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1297669Z [2022-11-23 01:32:24,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1298054Z [2022-11-23 01:32:24,643] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1298308Z [2022-11-23 01:32:24,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1298552Z [2022-11-23 01:32:24,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1299051Z [2022-11-23 01:32:24,644] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1299326Z [2022-11-23 01:32:24,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1299527Z [2022-11-23 01:32:24,647] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1299664Z  __compiled_fn_1021 <eval_with_key>.6256 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1299760Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1299851Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1300133Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1300237Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1300242Z 
2022-11-23T01:32:33.1300573Z [2022-11-23 01:32:24,647] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1300719Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1300819Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1300906Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1301011Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1301106Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1301203Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1301288Z              12 RETURN_VALUE
2022-11-23T01:32:33.1301293Z 
2022-11-23T01:32:33.1301361Z  
2022-11-23T01:32:33.1301689Z [2022-11-23 01:32:24,647] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1301809Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1021)
2022-11-23T01:32:33.1301899Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1302002Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1302086Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1302184Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1302280Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1302368Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1302481Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1302599Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1302739Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1302836Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1302919Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1303021Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1303105Z              26 RETURN_VALUE
2022-11-23T01:32:33.1303111Z 
2022-11-23T01:32:33.1303177Z  
2022-11-23T01:32:33.1303366Z [2022-11-23 01:32:24,648] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1303448Z  - 
2022-11-23T01:32:33.1303575Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1303645Z             {
2022-11-23T01:32:33.1303794Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1303987Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1304113Z                 'obj_weakref': None
2022-11-23T01:32:33.1304331Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1304402Z             }
2022-11-23T01:32:33.1304473Z             
2022-11-23T01:32:33.1304549Z  - 
2022-11-23T01:32:33.1304680Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1304748Z             {
2022-11-23T01:32:33.1304899Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1305005Z                 'code': None,
2022-11-23T01:32:33.1305218Z                 'obj_weakref': <weakref at 0x7f1f25e8c0e0; to 'Tensor' at 0x7f1f25e73ab0>
2022-11-23T01:32:33.1305477Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1305550Z             }
2022-11-23T01:32:33.1305618Z             
2022-11-23T01:32:33.1305697Z  - 
2022-11-23T01:32:33.1305826Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1305888Z             {
2022-11-23T01:32:33.1306038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1306152Z                 'code': None,
2022-11-23T01:32:33.1306367Z                 'obj_weakref': <weakref at 0x7f1f25c00680; to 'Tensor' at 0x7f1f25f09990>
2022-11-23T01:32:33.1306622Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1306722Z             }
2022-11-23T01:32:33.1306792Z             
2022-11-23T01:32:33.1306861Z  - 
2022-11-23T01:32:33.1306998Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1307069Z             {
2022-11-23T01:32:33.1307211Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1307410Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1307534Z                 'obj_weakref': None
2022-11-23T01:32:33.1307768Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1307830Z             }
2022-11-23T01:32:33.1307898Z             
2022-11-23T01:32:33.1307974Z  - 
2022-11-23T01:32:33.1308101Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1308170Z             {
2022-11-23T01:32:33.1308316Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1308538Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1308658Z                 'obj_weakref': None
2022-11-23T01:32:33.1308886Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1308958Z             }
2022-11-23T01:32:33.1309028Z             
2022-11-23T01:32:33.1309298Z [2022-11-23 01:32:24,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1003
2022-11-23T01:32:33.1309551Z [2022-11-23 01:32:24,656] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1309915Z [2022-11-23 01:32:24,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fx/cfxxvkfwetzt7ox7cnq76tnje34zkzt6qhoxcudxlp6nzgy5yrcs.py
2022-11-23T01:32:33.1310185Z [2022-11-23 01:32:24,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1003
2022-11-23T01:32:33.1310191Z 
2022-11-23T01:32:33.1310431Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1310511Z import torch
2022-11-23T01:32:33.1310602Z import random
2022-11-23T01:32:33.1310740Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1310881Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1310887Z 
2022-11-23T01:32:33.1310981Z aten = torch.ops.aten
2022-11-23T01:32:33.1311125Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1311221Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1311226Z 
2022-11-23T01:32:33.1311293Z import triton
2022-11-23T01:32:33.1311385Z import triton.language as tl
2022-11-23T01:32:33.1311511Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1311654Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1311659Z 
2022-11-23T01:32:33.1311664Z 
2022-11-23T01:32:33.1311822Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1311896Z import triton
2022-11-23T01:32:33.1311988Z import triton.language as tl
2022-11-23T01:32:33.1312104Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1312200Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1312338Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1312468Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1312476Z 
2022-11-23T01:32:33.1312869Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*i32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1312944Z @triton.jit
2022-11-23T01:32:33.1313090Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1313165Z     xnumel = 100
2022-11-23T01:32:33.1313263Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1313388Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1313471Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1313555Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1313665Z     x2 = xindex
2022-11-23T01:32:33.1313765Z     tmp0 = tl.load(in_ptr0 + (x1), xmask)
2022-11-23T01:32:33.1313862Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.1313953Z     tmp1 = tmp0.to(tl.float32)
2022-11-23T01:32:33.1314026Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1314187Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1314274Z ''')
2022-11-23T01:32:33.1314280Z 
2022-11-23T01:32:33.1314284Z 
2022-11-23T01:32:33.1314378Z async_compile.wait(globals())
2022-11-23T01:32:33.1314456Z del async_compile
2022-11-23T01:32:33.1314461Z 
2022-11-23T01:32:33.1314536Z def call(args):
2022-11-23T01:32:33.1314617Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1314685Z     args.clear()
2022-11-23T01:32:33.1314888Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1314978Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1315129Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1315201Z     del arg0_1
2022-11-23T01:32:33.1315274Z     del arg1_1
2022-11-23T01:32:33.1315352Z     return (buf0, )
2022-11-23T01:32:33.1315358Z 
2022-11-23T01:32:33.1315362Z 
2022-11-23T01:32:33.1315442Z if __name__ == "__main__":
2022-11-23T01:32:33.1315558Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1315688Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1315882Z     arg0_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1316085Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1316205Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1316210Z 
2022-11-23T01:32:33.1316281Z ok (0.089s)
2022-11-23T01:32:33.1316627Z   test_cuda_strided_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1316946Z [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1317157Z [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1317413Z [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1317688Z [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1318004Z [2022-11-23 01:32:24,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1318350Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1318676Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1319058Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1319160Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1319260Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1319338Z               4 BINARY_ADD
2022-11-23T01:32:33.1319426Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1319508Z               8 RETURN_VALUE
2022-11-23T01:32:33.1319574Z  
2022-11-23T01:32:33.1319579Z 
2022-11-23T01:32:33.1319896Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1320151Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1320399Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1320678Z [2022-11-23 01:32:24,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1320948Z [2022-11-23 01:32:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1321190Z [2022-11-23 01:32:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1321573Z [2022-11-23 01:32:24,732] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1321822Z [2022-11-23 01:32:24,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1322065Z [2022-11-23 01:32:24,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1322323Z [2022-11-23 01:32:24,733] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1322576Z [2022-11-23 01:32:24,736] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1322778Z [2022-11-23 01:32:24,736] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1322919Z  __compiled_fn_1022 <eval_with_key>.6262 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1323014Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1323117Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1323329Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1323431Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1323437Z 
2022-11-23T01:32:33.1323767Z [2022-11-23 01:32:24,736] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1323868Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1323964Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1324057Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1324157Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1324245Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1324340Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1324420Z              12 RETURN_VALUE
2022-11-23T01:32:33.1324425Z 
2022-11-23T01:32:33.1324489Z  
2022-11-23T01:32:33.1324815Z [2022-11-23 01:32:24,736] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1324932Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1022)
2022-11-23T01:32:33.1325028Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1325125Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1325202Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1325298Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1325394Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1325476Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1325570Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1325683Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1325791Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1325879Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1325960Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1326054Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1326135Z              26 RETURN_VALUE
2022-11-23T01:32:33.1326140Z 
2022-11-23T01:32:33.1326208Z  
2022-11-23T01:32:33.1326397Z [2022-11-23 01:32:24,737] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1326471Z  - 
2022-11-23T01:32:33.1326621Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1326693Z             {
2022-11-23T01:32:33.1326841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1327034Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1327157Z                 'obj_weakref': None
2022-11-23T01:32:33.1327407Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1327479Z             }
2022-11-23T01:32:33.1327539Z             
2022-11-23T01:32:33.1327615Z  - 
2022-11-23T01:32:33.1327744Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1327815Z             {
2022-11-23T01:32:33.1327964Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1328077Z                 'code': None,
2022-11-23T01:32:33.1328296Z                 'obj_weakref': <weakref at 0x7f1f25aaa610; to 'Tensor' at 0x7f2151f1b290>
2022-11-23T01:32:33.1328544Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1328612Z             }
2022-11-23T01:32:33.1328681Z             
2022-11-23T01:32:33.1328757Z  - 
2022-11-23T01:32:33.1328884Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1328951Z             {
2022-11-23T01:32:33.1329103Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1329208Z                 'code': None,
2022-11-23T01:32:33.1329419Z                 'obj_weakref': <weakref at 0x7f1f25aa8b80; to 'Tensor' at 0x7f2151f1b2e0>
2022-11-23T01:32:33.1329672Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1329740Z             }
2022-11-23T01:32:33.1329807Z             
2022-11-23T01:32:33.1329883Z  - 
2022-11-23T01:32:33.1330019Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1330081Z             {
2022-11-23T01:32:33.1330221Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1330397Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1330522Z                 'obj_weakref': None
2022-11-23T01:32:33.1330753Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1330822Z             }
2022-11-23T01:32:33.1330893Z             
2022-11-23T01:32:33.1330961Z  - 
2022-11-23T01:32:33.1331090Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1331157Z             {
2022-11-23T01:32:33.1331300Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1331521Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1331644Z                 'obj_weakref': None
2022-11-23T01:32:33.1331869Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1331930Z             }
2022-11-23T01:32:33.1332000Z             
2022-11-23T01:32:33.1332268Z [2022-11-23 01:32:24,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1004
2022-11-23T01:32:33.1332519Z [2022-11-23 01:32:24,746] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1332889Z [2022-11-23 01:32:24,814] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yl/cyl4ghtlpwqttybnq2qgqquafjirqqmwvqkendmvu6eg2ijbhbo6.py
2022-11-23T01:32:33.1333160Z [2022-11-23 01:32:24,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1004
2022-11-23T01:32:33.1333166Z 
2022-11-23T01:32:33.1333266Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1333341Z import torch
2022-11-23T01:32:33.1333408Z import random
2022-11-23T01:32:33.1333531Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1333657Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1333662Z 
2022-11-23T01:32:33.1333745Z aten = torch.ops.aten
2022-11-23T01:32:33.1333934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1334032Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1334037Z 
2022-11-23T01:32:33.1334114Z import triton
2022-11-23T01:32:33.1334207Z import triton.language as tl
2022-11-23T01:32:33.1334328Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1334496Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1334502Z 
2022-11-23T01:32:33.1334507Z 
2022-11-23T01:32:33.1334662Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1334736Z import triton
2022-11-23T01:32:33.1334832Z import triton.language as tl
2022-11-23T01:32:33.1334947Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1335049Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1335178Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1335307Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1335313Z 
2022-11-23T01:32:33.1335701Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1335777Z @triton.jit
2022-11-23T01:32:33.1335921Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1336000Z     xnumel = 100
2022-11-23T01:32:33.1336098Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1336231Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1336308Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1336385Z     x0 = xindex % 10
2022-11-23T01:32:33.1336466Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1336538Z     x2 = xindex
2022-11-23T01:32:33.1336649Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1336747Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1336826Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1336959Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1337047Z ''')
2022-11-23T01:32:33.1337052Z 
2022-11-23T01:32:33.1337057Z 
2022-11-23T01:32:33.1337148Z async_compile.wait(globals())
2022-11-23T01:32:33.1337225Z del async_compile
2022-11-23T01:32:33.1337230Z 
2022-11-23T01:32:33.1337309Z def call(args):
2022-11-23T01:32:33.1337389Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1337467Z     args.clear()
2022-11-23T01:32:33.1337669Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1337753Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1337897Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1337971Z     del arg0_1
2022-11-23T01:32:33.1338044Z     del arg1_1
2022-11-23T01:32:33.1338119Z     return (buf0, )
2022-11-23T01:32:33.1338125Z 
2022-11-23T01:32:33.1338129Z 
2022-11-23T01:32:33.1338210Z if __name__ == "__main__":
2022-11-23T01:32:33.1338329Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1338454Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1338657Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1339076Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1339202Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1339207Z 
2022-11-23T01:32:33.1339281Z ok (0.088s)
2022-11-23T01:32:33.1339626Z   test_cuda_strided_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1339945Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1340165Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1340487Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1340761Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1341080Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1341455Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1341773Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1342151Z [2022-11-23 01:32:24,819] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1342258Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1342359Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1342438Z               4 BINARY_ADD
2022-11-23T01:32:33.1342536Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1342613Z               8 RETURN_VALUE
2022-11-23T01:32:33.1342679Z  
2022-11-23T01:32:33.1342685Z 
2022-11-23T01:32:33.1342996Z [2022-11-23 01:32:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1343212Z [2022-11-23 01:32:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1343448Z [2022-11-23 01:32:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1343720Z [2022-11-23 01:32:24,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1343966Z [2022-11-23 01:32:24,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1344212Z [2022-11-23 01:32:24,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1344590Z [2022-11-23 01:32:24,821] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1344845Z [2022-11-23 01:32:24,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1345075Z [2022-11-23 01:32:24,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1345332Z [2022-11-23 01:32:24,822] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1345584Z [2022-11-23 01:32:24,824] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1345781Z [2022-11-23 01:32:24,825] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1345922Z  __compiled_fn_1023 <eval_with_key>.6268 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1346018Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1346108Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1346293Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1346387Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1346392Z 
2022-11-23T01:32:33.1346720Z [2022-11-23 01:32:24,825] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1346820Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1346915Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1347009Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1347110Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1347235Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1347324Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1347407Z              12 RETURN_VALUE
2022-11-23T01:32:33.1347412Z 
2022-11-23T01:32:33.1347477Z  
2022-11-23T01:32:33.1347797Z [2022-11-23 01:32:24,825] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1347941Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1023)
2022-11-23T01:32:33.1348036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1348133Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1348214Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1348300Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1348394Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1348474Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1348570Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1348684Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1348793Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1348886Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1348960Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1349057Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1349138Z              26 RETURN_VALUE
2022-11-23T01:32:33.1349143Z 
2022-11-23T01:32:33.1349208Z  
2022-11-23T01:32:33.1349393Z [2022-11-23 01:32:24,826] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1349468Z  - 
2022-11-23T01:32:33.1349594Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1349656Z             {
2022-11-23T01:32:33.1349800Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1349991Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1350112Z                 'obj_weakref': None
2022-11-23T01:32:33.1350442Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1350526Z             }
2022-11-23T01:32:33.1350607Z             
2022-11-23T01:32:33.1350691Z  - 
2022-11-23T01:32:33.1350843Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1350929Z             {
2022-11-23T01:32:33.1351077Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1351186Z                 'code': None,
2022-11-23T01:32:33.1351402Z                 'obj_weakref': <weakref at 0x7f1f25ba6e80; to 'Tensor' at 0x7f1fd813a020>
2022-11-23T01:32:33.1351649Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1351717Z             }
2022-11-23T01:32:33.1351778Z             
2022-11-23T01:32:33.1351853Z  - 
2022-11-23T01:32:33.1351977Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1352045Z             {
2022-11-23T01:32:33.1352193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1352305Z                 'code': None,
2022-11-23T01:32:33.1352508Z                 'obj_weakref': <weakref at 0x7f1f25ba49f0; to 'Tensor' at 0x7f20231402c0>
2022-11-23T01:32:33.1352758Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1352832Z             }
2022-11-23T01:32:33.1352899Z             
2022-11-23T01:32:33.1352981Z  - 
2022-11-23T01:32:33.1353134Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1353219Z             {
2022-11-23T01:32:33.1353357Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1353532Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1353654Z                 'obj_weakref': None
2022-11-23T01:32:33.1353880Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1353950Z             }
2022-11-23T01:32:33.1354017Z             
2022-11-23T01:32:33.1354127Z  - 
2022-11-23T01:32:33.1354247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1354317Z             {
2022-11-23T01:32:33.1354456Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1354674Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1354820Z                 'obj_weakref': None
2022-11-23T01:32:33.1355041Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1355108Z             }
2022-11-23T01:32:33.1355176Z             
2022-11-23T01:32:33.1355433Z [2022-11-23 01:32:24,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1005
2022-11-23T01:32:33.1355681Z [2022-11-23 01:32:24,834] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1356042Z [2022-11-23 01:32:24,902] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rm/crm4usakak3367n2za4vvvcgj4xiadcys4d3pxty36xaxrnnb77u.py
2022-11-23T01:32:33.1356312Z [2022-11-23 01:32:24,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1005
2022-11-23T01:32:33.1356318Z 
2022-11-23T01:32:33.1356418Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1356495Z import torch
2022-11-23T01:32:33.1356571Z import random
2022-11-23T01:32:33.1356693Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1356812Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1356818Z 
2022-11-23T01:32:33.1356900Z aten = torch.ops.aten
2022-11-23T01:32:33.1357042Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1357139Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1357144Z 
2022-11-23T01:32:33.1357219Z import triton
2022-11-23T01:32:33.1357312Z import triton.language as tl
2022-11-23T01:32:33.1357441Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1357581Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1357594Z 
2022-11-23T01:32:33.1357599Z 
2022-11-23T01:32:33.1357748Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1357825Z import triton
2022-11-23T01:32:33.1357917Z import triton.language as tl
2022-11-23T01:32:33.1358036Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1358140Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1358277Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1358405Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1358411Z 
2022-11-23T01:32:33.1358797Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1358865Z @triton.jit
2022-11-23T01:32:33.1359011Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1359090Z     xnumel = 100
2022-11-23T01:32:33.1359190Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1359323Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1359409Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1359489Z     x0 = xindex % 10
2022-11-23T01:32:33.1359563Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1359636Z     x2 = xindex
2022-11-23T01:32:33.1359749Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1359849Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.1359932Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1360074Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1360165Z ''')
2022-11-23T01:32:33.1360171Z 
2022-11-23T01:32:33.1360175Z 
2022-11-23T01:32:33.1360261Z async_compile.wait(globals())
2022-11-23T01:32:33.1360341Z del async_compile
2022-11-23T01:32:33.1360347Z 
2022-11-23T01:32:33.1360422Z def call(args):
2022-11-23T01:32:33.1360569Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1360654Z     args.clear()
2022-11-23T01:32:33.1360879Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1360971Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1361118Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1361217Z     del arg0_1
2022-11-23T01:32:33.1361291Z     del arg1_1
2022-11-23T01:32:33.1361374Z     return (buf0, )
2022-11-23T01:32:33.1361380Z 
2022-11-23T01:32:33.1361384Z 
2022-11-23T01:32:33.1361472Z if __name__ == "__main__":
2022-11-23T01:32:33.1361593Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1361721Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1361929Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1362129Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1362254Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1362259Z 
2022-11-23T01:32:33.1362331Z ok (0.088s)
2022-11-23T01:32:33.1362674Z   test_cuda_strided_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1363000Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1363259Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1363524Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1363801Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1364116Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1364464Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1364782Z [2022-11-23 01:32:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1365164Z [2022-11-23 01:32:24,908] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1365263Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1365362Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1365443Z               4 BINARY_ADD
2022-11-23T01:32:33.1365538Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1365619Z               8 RETURN_VALUE
2022-11-23T01:32:33.1365687Z  
2022-11-23T01:32:33.1365692Z 
2022-11-23T01:32:33.1366001Z [2022-11-23 01:32:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1366219Z [2022-11-23 01:32:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1366465Z [2022-11-23 01:32:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1366744Z [2022-11-23 01:32:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1366990Z [2022-11-23 01:32:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1367239Z [2022-11-23 01:32:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1367667Z [2022-11-23 01:32:24,909] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1367920Z [2022-11-23 01:32:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1368183Z [2022-11-23 01:32:24,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1368444Z [2022-11-23 01:32:24,910] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1368691Z [2022-11-23 01:32:24,912] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1368886Z [2022-11-23 01:32:24,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1369029Z  __compiled_fn_1024 <eval_with_key>.6274 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1369123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1369216Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1369400Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1369502Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1369507Z 
2022-11-23T01:32:33.1369837Z [2022-11-23 01:32:24,913] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1369934Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1370030Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1370124Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1370224Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1370315Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1370412Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1370492Z              12 RETURN_VALUE
2022-11-23T01:32:33.1370498Z 
2022-11-23T01:32:33.1370556Z  
2022-11-23T01:32:33.1370887Z [2022-11-23 01:32:24,913] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1371006Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1024)
2022-11-23T01:32:33.1371103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1371203Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1371287Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1371382Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1371477Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1371551Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1371645Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1371756Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1371864Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1371960Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1372040Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1372135Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1372209Z              26 RETURN_VALUE
2022-11-23T01:32:33.1372214Z 
2022-11-23T01:32:33.1372280Z  
2022-11-23T01:32:33.1372467Z [2022-11-23 01:32:24,914] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1372546Z  - 
2022-11-23T01:32:33.1372671Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1372741Z             {
2022-11-23T01:32:33.1372887Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1373100Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1373248Z                 'obj_weakref': None
2022-11-23T01:32:33.1373475Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1373546Z             }
2022-11-23T01:32:33.1373615Z             
2022-11-23T01:32:33.1373692Z  - 
2022-11-23T01:32:33.1373822Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1373883Z             {
2022-11-23T01:32:33.1374065Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1374180Z                 'code': None,
2022-11-23T01:32:33.1374399Z                 'obj_weakref': <weakref at 0x7f1f25e733d0; to 'Tensor' at 0x7f1fd813a020>
2022-11-23T01:32:33.1374655Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1374756Z             }
2022-11-23T01:32:33.1374825Z             
2022-11-23T01:32:33.1374894Z  - 
2022-11-23T01:32:33.1375022Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1375090Z             {
2022-11-23T01:32:33.1375242Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1375353Z                 'code': None,
2022-11-23T01:32:33.1375572Z                 'obj_weakref': <weakref at 0x7f1f361118f0; to 'Tensor' at 0x7f1f25ee21b0>
2022-11-23T01:32:33.1375826Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1375891Z             }
2022-11-23T01:32:33.1375961Z             
2022-11-23T01:32:33.1376037Z  - 
2022-11-23T01:32:33.1376174Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1376242Z             {
2022-11-23T01:32:33.1376382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1376559Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1376676Z                 'obj_weakref': None
2022-11-23T01:32:33.1376908Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1376976Z             }
2022-11-23T01:32:33.1377044Z             
2022-11-23T01:32:33.1377120Z  - 
2022-11-23T01:32:33.1377247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1377314Z             {
2022-11-23T01:32:33.1377449Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1377671Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1377798Z                 'obj_weakref': None
2022-11-23T01:32:33.1378024Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1378093Z             }
2022-11-23T01:32:33.1378162Z             
2022-11-23T01:32:33.1378433Z [2022-11-23 01:32:24,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1006
2022-11-23T01:32:33.1378689Z [2022-11-23 01:32:24,922] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1379319Z [2022-11-23 01:32:24,988] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rj/crjsmiuferkatch4lbad4tcxi67uwepjogtb7utqyn4chdnfjiop.py
2022-11-23T01:32:33.1379592Z [2022-11-23 01:32:24,989] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1006
2022-11-23T01:32:33.1379599Z 
2022-11-23T01:32:33.1379702Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1379776Z import torch
2022-11-23T01:32:33.1379854Z import random
2022-11-23T01:32:33.1379977Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1380102Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1380108Z 
2022-11-23T01:32:33.1380189Z aten = torch.ops.aten
2022-11-23T01:32:33.1380325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1380423Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1380428Z 
2022-11-23T01:32:33.1380506Z import triton
2022-11-23T01:32:33.1380598Z import triton.language as tl
2022-11-23T01:32:33.1380726Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1380871Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1380877Z 
2022-11-23T01:32:33.1380882Z 
2022-11-23T01:32:33.1381038Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1381112Z import triton
2022-11-23T01:32:33.1381197Z import triton.language as tl
2022-11-23T01:32:33.1381377Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1381483Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1381618Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1381748Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1381781Z 
2022-11-23T01:32:33.1382172Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1382245Z @triton.jit
2022-11-23T01:32:33.1382388Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1382457Z     xnumel = 100
2022-11-23T01:32:33.1382556Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1382689Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1382773Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1382848Z     x0 = xindex % 10
2022-11-23T01:32:33.1382931Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1382995Z     x2 = xindex
2022-11-23T01:32:33.1383108Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1383243Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.1383323Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1383460Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1383546Z ''')
2022-11-23T01:32:33.1383551Z 
2022-11-23T01:32:33.1383556Z 
2022-11-23T01:32:33.1383650Z async_compile.wait(globals())
2022-11-23T01:32:33.1383726Z del async_compile
2022-11-23T01:32:33.1383732Z 
2022-11-23T01:32:33.1383800Z def call(args):
2022-11-23T01:32:33.1383879Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1383955Z     args.clear()
2022-11-23T01:32:33.1384157Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1384248Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1384397Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1384470Z     del arg0_1
2022-11-23T01:32:33.1384535Z     del arg1_1
2022-11-23T01:32:33.1384612Z     return (buf0, )
2022-11-23T01:32:33.1384617Z 
2022-11-23T01:32:33.1384622Z 
2022-11-23T01:32:33.1384703Z if __name__ == "__main__":
2022-11-23T01:32:33.1384826Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1384955Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1385160Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1385358Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1385481Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1385487Z 
2022-11-23T01:32:33.1385551Z ok (0.086s)
2022-11-23T01:32:33.1385889Z   test_cuda_strided_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1386203Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1386423Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1386684Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1386964Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1387284Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1387628Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1387977Z [2022-11-23 01:32:24,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1388357Z [2022-11-23 01:32:24,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1388479Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1388569Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1388647Z               4 BINARY_ADD
2022-11-23T01:32:33.1388741Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1388823Z               8 RETURN_VALUE
2022-11-23T01:32:33.1388889Z  
2022-11-23T01:32:33.1388894Z 
2022-11-23T01:32:33.1389206Z [2022-11-23 01:32:24,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1389421Z [2022-11-23 01:32:24,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1389654Z [2022-11-23 01:32:24,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1389930Z [2022-11-23 01:32:24,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1390178Z [2022-11-23 01:32:24,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1390549Z [2022-11-23 01:32:24,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1390978Z [2022-11-23 01:32:24,995] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1391791Z [2022-11-23 01:32:24,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1392030Z [2022-11-23 01:32:24,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1392291Z [2022-11-23 01:32:24,996] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1392544Z [2022-11-23 01:32:24,998] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1392738Z [2022-11-23 01:32:24,999] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1392875Z  __compiled_fn_1025 <eval_with_key>.6280 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1392970Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1393064Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1393244Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1393344Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1393349Z 
2022-11-23T01:32:33.1393676Z [2022-11-23 01:32:24,999] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1393777Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1393875Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1393962Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1394064Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1394158Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1394251Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1394333Z              12 RETURN_VALUE
2022-11-23T01:32:33.1394338Z 
2022-11-23T01:32:33.1394403Z  
2022-11-23T01:32:33.1394721Z [2022-11-23 01:32:24,999] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1394831Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1025)
2022-11-23T01:32:33.1394929Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1395067Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1395151Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1395246Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1395343Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1395425Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1395542Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1395653Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1395763Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1395857Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1395939Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1396033Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1396115Z              26 RETURN_VALUE
2022-11-23T01:32:33.1396121Z 
2022-11-23T01:32:33.1396187Z  
2022-11-23T01:32:33.1396367Z [2022-11-23 01:32:25,000] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1396443Z  - 
2022-11-23T01:32:33.1396568Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1396636Z             {
2022-11-23T01:32:33.1396780Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1396969Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1397095Z                 'obj_weakref': None
2022-11-23T01:32:33.1397312Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1397380Z             }
2022-11-23T01:32:33.1397447Z             
2022-11-23T01:32:33.1397522Z  - 
2022-11-23T01:32:33.1397650Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1397717Z             {
2022-11-23T01:32:33.1397863Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1397968Z                 'code': None,
2022-11-23T01:32:33.1398175Z                 'obj_weakref': <weakref at 0x7f1f25e76980; to 'Tensor' at 0x7f2151f1b330>
2022-11-23T01:32:33.1398431Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1398499Z             }
2022-11-23T01:32:33.1398567Z             
2022-11-23T01:32:33.1398642Z  - 
2022-11-23T01:32:33.1398769Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1398830Z             {
2022-11-23T01:32:33.1398977Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1399088Z                 'code': None,
2022-11-23T01:32:33.1399296Z                 'obj_weakref': <weakref at 0x7f1f25a07560; to 'Tensor' at 0x7f2151f1b3d0>
2022-11-23T01:32:33.1399545Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1399614Z             }
2022-11-23T01:32:33.1399680Z             
2022-11-23T01:32:33.1399749Z  - 
2022-11-23T01:32:33.1399885Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1399952Z             {
2022-11-23T01:32:33.1400092Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1400270Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1400395Z                 'obj_weakref': None
2022-11-23T01:32:33.1400628Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1400692Z             }
2022-11-23T01:32:33.1400758Z             
2022-11-23T01:32:33.1400834Z  - 
2022-11-23T01:32:33.1400961Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1401029Z             {
2022-11-23T01:32:33.1401171Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1401393Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1401509Z                 'obj_weakref': None
2022-11-23T01:32:33.1401740Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1401815Z             }
2022-11-23T01:32:33.1401883Z             
2022-11-23T01:32:33.1402185Z [2022-11-23 01:32:25,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1007
2022-11-23T01:32:33.1402441Z [2022-11-23 01:32:25,008] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1402854Z [2022-11-23 01:32:25,075] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eh/cehjvmnj4zmnj75qaofv2t3d6x7dzotftny7xm4bdmr2yi2lvtb3.py
2022-11-23T01:32:33.1403170Z [2022-11-23 01:32:25,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1007
2022-11-23T01:32:33.1403176Z 
2022-11-23T01:32:33.1403270Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1403345Z import torch
2022-11-23T01:32:33.1403424Z import random
2022-11-23T01:32:33.1403550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1403679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1403685Z 
2022-11-23T01:32:33.1403770Z aten = torch.ops.aten
2022-11-23T01:32:33.1403912Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1404003Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1404015Z 
2022-11-23T01:32:33.1404082Z import triton
2022-11-23T01:32:33.1404175Z import triton.language as tl
2022-11-23T01:32:33.1404301Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1404448Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1404453Z 
2022-11-23T01:32:33.1404458Z 
2022-11-23T01:32:33.1404613Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1404689Z import triton
2022-11-23T01:32:33.1404781Z import triton.language as tl
2022-11-23T01:32:33.1404889Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1404993Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1405127Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1405256Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1405261Z 
2022-11-23T01:32:33.1405649Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1405724Z @triton.jit
2022-11-23T01:32:33.1405875Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1405950Z     xnumel = 100
2022-11-23T01:32:33.1406041Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1406174Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1406258Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1406334Z     x0 = xindex % 10
2022-11-23T01:32:33.1406414Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1406483Z     x2 = xindex
2022-11-23T01:32:33.1406600Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1406692Z     tmp1 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.1406771Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1406909Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1406997Z ''')
2022-11-23T01:32:33.1407002Z 
2022-11-23T01:32:33.1407007Z 
2022-11-23T01:32:33.1407098Z async_compile.wait(globals())
2022-11-23T01:32:33.1407175Z del async_compile
2022-11-23T01:32:33.1407182Z 
2022-11-23T01:32:33.1407259Z def call(args):
2022-11-23T01:32:33.1407339Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1407407Z     args.clear()
2022-11-23T01:32:33.1407614Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1407707Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1407853Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1407925Z     del arg0_1
2022-11-23T01:32:33.1407997Z     del arg1_1
2022-11-23T01:32:33.1408074Z     return (buf0, )
2022-11-23T01:32:33.1408079Z 
2022-11-23T01:32:33.1408084Z 
2022-11-23T01:32:33.1408157Z if __name__ == "__main__":
2022-11-23T01:32:33.1408307Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1408442Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1408650Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1408852Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1408998Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1409003Z 
2022-11-23T01:32:33.1409075Z ok (0.086s)
2022-11-23T01:32:33.1409416Z   test_cuda_strided_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,079] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1409722Z [2022-11-23 01:32:25,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1409942Z [2022-11-23 01:32:25,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1410206Z [2022-11-23 01:32:25,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1410484Z [2022-11-23 01:32:25,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1410814Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1411159Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1411482Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1411864Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1411963Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1412062Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1412133Z               4 BINARY_ADD
2022-11-23T01:32:33.1412227Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1412313Z               8 RETURN_VALUE
2022-11-23T01:32:33.1412381Z  
2022-11-23T01:32:33.1412386Z 
2022-11-23T01:32:33.1412737Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1412966Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1413209Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1413484Z [2022-11-23 01:32:25,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1413725Z [2022-11-23 01:32:25,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1413976Z [2022-11-23 01:32:25,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1414364Z [2022-11-23 01:32:25,081] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1414618Z [2022-11-23 01:32:25,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1414856Z [2022-11-23 01:32:25,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1415114Z [2022-11-23 01:32:25,082] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1415407Z [2022-11-23 01:32:25,085] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1415603Z [2022-11-23 01:32:25,085] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1415749Z  __compiled_fn_1026 <eval_with_key>.6286 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1415836Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1415953Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1416135Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1416235Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1416240Z 
2022-11-23T01:32:33.1416571Z [2022-11-23 01:32:25,085] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1416671Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1416769Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1416864Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1416956Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1417056Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1417151Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1417234Z              12 RETURN_VALUE
2022-11-23T01:32:33.1417239Z 
2022-11-23T01:32:33.1417307Z  
2022-11-23T01:32:33.1417633Z [2022-11-23 01:32:25,085] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1417751Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1026)
2022-11-23T01:32:33.1417850Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1417939Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1418021Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1418118Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1418212Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1418293Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1418390Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1418502Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1418604Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1418700Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1419083Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1419181Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1419264Z              26 RETURN_VALUE
2022-11-23T01:32:33.1419269Z 
2022-11-23T01:32:33.1419335Z  
2022-11-23T01:32:33.1419527Z [2022-11-23 01:32:25,086] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1419596Z  - 
2022-11-23T01:32:33.1419720Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1419792Z             {
2022-11-23T01:32:33.1419940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1420135Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1420260Z                 'obj_weakref': None
2022-11-23T01:32:33.1420491Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1420562Z             }
2022-11-23T01:32:33.1420623Z             
2022-11-23T01:32:33.1420698Z  - 
2022-11-23T01:32:33.1420829Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1420902Z             {
2022-11-23T01:32:33.1421049Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1421159Z                 'code': None,
2022-11-23T01:32:33.1421362Z                 'obj_weakref': <weakref at 0x7f20681b4590; to 'Tensor' at 0x7f1f25ecf6f0>
2022-11-23T01:32:33.1421615Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1421690Z             }
2022-11-23T01:32:33.1421759Z             
2022-11-23T01:32:33.1421835Z  - 
2022-11-23T01:32:33.1421964Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1422032Z             {
2022-11-23T01:32:33.1422263Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1422380Z                 'code': None,
2022-11-23T01:32:33.1422596Z                 'obj_weakref': <weakref at 0x7f206814c360; to 'Tensor' at 0x7f1fd813a020>
2022-11-23T01:32:33.1422850Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1422953Z             }
2022-11-23T01:32:33.1423020Z             
2022-11-23T01:32:33.1423097Z  - 
2022-11-23T01:32:33.1423226Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1423295Z             {
2022-11-23T01:32:33.1423436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1423614Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1423740Z                 'obj_weakref': None
2022-11-23T01:32:33.1423974Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1424044Z             }
2022-11-23T01:32:33.1424107Z             
2022-11-23T01:32:33.1424183Z  - 
2022-11-23T01:32:33.1424310Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1424378Z             {
2022-11-23T01:32:33.1424520Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1424741Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1424867Z                 'obj_weakref': None
2022-11-23T01:32:33.1425088Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1425157Z             }
2022-11-23T01:32:33.1425228Z             
2022-11-23T01:32:33.1425493Z [2022-11-23 01:32:25,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1008
2022-11-23T01:32:33.1425745Z [2022-11-23 01:32:25,095] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1426114Z [2022-11-23 01:32:25,163] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ue/cuev2zpuzpf4iuwcf6hn3tm2sjz5xaxa34snesjnzpa62qalnhvu.py
2022-11-23T01:32:33.1426387Z [2022-11-23 01:32:25,163] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1008
2022-11-23T01:32:33.1426393Z 
2022-11-23T01:32:33.1426492Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1426570Z import torch
2022-11-23T01:32:33.1426637Z import random
2022-11-23T01:32:33.1426759Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1426885Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1426890Z 
2022-11-23T01:32:33.1426973Z aten = torch.ops.aten
2022-11-23T01:32:33.1427112Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1427208Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1427213Z 
2022-11-23T01:32:33.1427287Z import triton
2022-11-23T01:32:33.1427372Z import triton.language as tl
2022-11-23T01:32:33.1427500Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1427645Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1427651Z 
2022-11-23T01:32:33.1427656Z 
2022-11-23T01:32:33.1427813Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1427889Z import triton
2022-11-23T01:32:33.1427983Z import triton.language as tl
2022-11-23T01:32:33.1428101Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1428203Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1428332Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1428460Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1428466Z 
2022-11-23T01:32:33.1428850Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1428924Z @triton.jit
2022-11-23T01:32:33.1429105Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1429183Z     xnumel = 100
2022-11-23T01:32:33.1429281Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1429413Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1429490Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1429588Z     x0 = xindex % 10
2022-11-23T01:32:33.1429672Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1429747Z     x2 = xindex
2022-11-23T01:32:33.1429858Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1429956Z     tmp2 = tl.load(in_ptr1 + (x2), xmask)
2022-11-23T01:32:33.1430045Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.1430117Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1430368Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1430475Z ''')
2022-11-23T01:32:33.1430481Z 
2022-11-23T01:32:33.1430486Z 
2022-11-23T01:32:33.1430598Z async_compile.wait(globals())
2022-11-23T01:32:33.1430688Z del async_compile
2022-11-23T01:32:33.1430698Z 
2022-11-23T01:32:33.1430787Z def call(args):
2022-11-23T01:32:33.1430881Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1430963Z     args.clear()
2022-11-23T01:32:33.1431565Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1431660Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1431805Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1431878Z     del arg0_1
2022-11-23T01:32:33.1431950Z     del arg1_1
2022-11-23T01:32:33.1432028Z     return (buf0, )
2022-11-23T01:32:33.1432034Z 
2022-11-23T01:32:33.1432038Z 
2022-11-23T01:32:33.1432123Z if __name__ == "__main__":
2022-11-23T01:32:33.1432235Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1432363Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1432570Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1432774Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1432896Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1432901Z 
2022-11-23T01:32:33.1432974Z ok (0.088s)
2022-11-23T01:32:33.1433314Z   test_cuda_strided_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1433635Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1433850Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1434105Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1434382Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1434701Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1435049Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1435375Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1435757Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1435857Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1435957Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1436036Z               4 BINARY_ADD
2022-11-23T01:32:33.1436162Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1436247Z               8 RETURN_VALUE
2022-11-23T01:32:33.1436313Z  
2022-11-23T01:32:33.1436318Z 
2022-11-23T01:32:33.1436634Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1436870Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1437113Z [2022-11-23 01:32:25,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1437385Z [2022-11-23 01:32:25,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1437633Z [2022-11-23 01:32:25,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1437876Z [2022-11-23 01:32:25,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1438267Z [2022-11-23 01:32:25,170] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1438517Z [2022-11-23 01:32:25,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1438758Z [2022-11-23 01:32:25,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1439021Z [2022-11-23 01:32:25,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1439275Z [2022-11-23 01:32:25,173] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1439468Z [2022-11-23 01:32:25,173] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1439611Z  __compiled_fn_1027 <eval_with_key>.6292 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1439707Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1439794Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1439978Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1440078Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1440083Z 
2022-11-23T01:32:33.1440407Z [2022-11-23 01:32:25,174] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1440512Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1440609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1440703Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1440803Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1440888Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1440983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1441068Z              12 RETURN_VALUE
2022-11-23T01:32:33.1441073Z 
2022-11-23T01:32:33.1441139Z  
2022-11-23T01:32:33.1441459Z [2022-11-23 01:32:25,174] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1441578Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1027)
2022-11-23T01:32:33.1441678Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1441777Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1441851Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1441946Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1442041Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1442120Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1442215Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1442328Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1442438Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1442550Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1442674Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1442786Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1442869Z              26 RETURN_VALUE
2022-11-23T01:32:33.1442874Z 
2022-11-23T01:32:33.1442938Z  
2022-11-23T01:32:33.1443126Z [2022-11-23 01:32:25,174] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1443225Z  - 
2022-11-23T01:32:33.1443340Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1443409Z             {
2022-11-23T01:32:33.1443553Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1443743Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1443866Z                 'obj_weakref': None
2022-11-23T01:32:33.1444091Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1444160Z             }
2022-11-23T01:32:33.1444221Z             
2022-11-23T01:32:33.1444297Z  - 
2022-11-23T01:32:33.1444427Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1444496Z             {
2022-11-23T01:32:33.1444644Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1444755Z                 'code': None,
2022-11-23T01:32:33.1444970Z                 'obj_weakref': <weakref at 0x7f1f25b449f0; to 'Tensor' at 0x7f1f25f0b8d0>
2022-11-23T01:32:33.1445217Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1445293Z             }
2022-11-23T01:32:33.1445361Z             
2022-11-23T01:32:33.1445437Z  - 
2022-11-23T01:32:33.1445565Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1445638Z             {
2022-11-23T01:32:33.1445786Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1445891Z                 'code': None,
2022-11-23T01:32:33.1446107Z                 'obj_weakref': <weakref at 0x7f1f25b45df0; to 'Tensor' at 0x7f1fe81df830>
2022-11-23T01:32:33.1446359Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1446427Z             }
2022-11-23T01:32:33.1446495Z             
2022-11-23T01:32:33.1446572Z  - 
2022-11-23T01:32:33.1446706Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1446767Z             {
2022-11-23T01:32:33.1446911Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1447087Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1447211Z                 'obj_weakref': None
2022-11-23T01:32:33.1447446Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1447516Z             }
2022-11-23T01:32:33.1447585Z             
2022-11-23T01:32:33.1447653Z  - 
2022-11-23T01:32:33.1447780Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1447848Z             {
2022-11-23T01:32:33.1447991Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1448214Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1448337Z                 'obj_weakref': None
2022-11-23T01:32:33.1448565Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1448629Z             }
2022-11-23T01:32:33.1448696Z             
2022-11-23T01:32:33.1448963Z [2022-11-23 01:32:25,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1009
2022-11-23T01:32:33.1449217Z [2022-11-23 01:32:25,183] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1449576Z [2022-11-23 01:32:25,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o3/co3d2kw4hy6afwkwdxmwr765yaixncx47wetrbjevuxdxoudswpx.py
2022-11-23T01:32:33.1449845Z [2022-11-23 01:32:25,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1009
2022-11-23T01:32:33.1449851Z 
2022-11-23T01:32:33.1449985Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1450061Z import torch
2022-11-23T01:32:33.1450128Z import random
2022-11-23T01:32:33.1450252Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1450378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1450405Z 
2022-11-23T01:32:33.1450491Z aten = torch.ops.aten
2022-11-23T01:32:33.1450632Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1450729Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1450734Z 
2022-11-23T01:32:33.1450808Z import triton
2022-11-23T01:32:33.1450904Z import triton.language as tl
2022-11-23T01:32:33.1451024Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1451165Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1451171Z 
2022-11-23T01:32:33.1451175Z 
2022-11-23T01:32:33.1451330Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1451406Z import triton
2022-11-23T01:32:33.1451505Z import triton.language as tl
2022-11-23T01:32:33.1451620Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1451723Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1451851Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1451980Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1451988Z 
2022-11-23T01:32:33.1452376Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1452451Z @triton.jit
2022-11-23T01:32:33.1452595Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1452670Z     xnumel = 100
2022-11-23T01:32:33.1452768Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1452899Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1452990Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1453080Z     x0 = xindex % 10
2022-11-23T01:32:33.1453172Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1453256Z     x2 = xindex
2022-11-23T01:32:33.1453368Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1453466Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1453557Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.1453630Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1453768Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1453854Z ''')
2022-11-23T01:32:33.1453861Z 
2022-11-23T01:32:33.1453865Z 
2022-11-23T01:32:33.1453959Z async_compile.wait(globals())
2022-11-23T01:32:33.1454041Z del async_compile
2022-11-23T01:32:33.1454046Z 
2022-11-23T01:32:33.1454122Z def call(args):
2022-11-23T01:32:33.1454201Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1454276Z     args.clear()
2022-11-23T01:32:33.1454471Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1454565Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1454712Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1454785Z     del arg0_1
2022-11-23T01:32:33.1454856Z     del arg1_1
2022-11-23T01:32:33.1454932Z     return (buf0, )
2022-11-23T01:32:33.1454940Z 
2022-11-23T01:32:33.1454945Z 
2022-11-23T01:32:33.1455025Z if __name__ == "__main__":
2022-11-23T01:32:33.1455137Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1455267Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1455471Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1455664Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1455784Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1455790Z 
2022-11-23T01:32:33.1455864Z ok (0.087s)
2022-11-23T01:32:33.1456240Z   test_cuda_strided_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1456555Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1456798Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1457048Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1457327Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1457643Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1457993Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1458315Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1458690Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1459062Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1459164Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1459245Z               4 BINARY_ADD
2022-11-23T01:32:33.1459333Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1459415Z               8 RETURN_VALUE
2022-11-23T01:32:33.1459481Z  
2022-11-23T01:32:33.1459486Z 
2022-11-23T01:32:33.1459810Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1460028Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1460270Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1460549Z [2022-11-23 01:32:25,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1460795Z [2022-11-23 01:32:25,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1461051Z [2022-11-23 01:32:25,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1461431Z [2022-11-23 01:32:25,257] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1461687Z [2022-11-23 01:32:25,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1461927Z [2022-11-23 01:32:25,257] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1462189Z [2022-11-23 01:32:25,258] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1462448Z [2022-11-23 01:32:25,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1462642Z [2022-11-23 01:32:25,261] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1462784Z  __compiled_fn_1028 <eval_with_key>.6298 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1462879Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1462971Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1463147Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1463248Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1463254Z 
2022-11-23T01:32:33.1463659Z [2022-11-23 01:32:25,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1463763Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1463864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1463991Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1464092Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1464178Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1464273Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1464357Z              12 RETURN_VALUE
2022-11-23T01:32:33.1464362Z 
2022-11-23T01:32:33.1464427Z  
2022-11-23T01:32:33.1464754Z [2022-11-23 01:32:25,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1464877Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1028)
2022-11-23T01:32:33.1464978Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1465076Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1465151Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1465246Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1465342Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1465424Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1465518Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1465632Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1465742Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1465830Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1465913Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1466007Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1466086Z              26 RETURN_VALUE
2022-11-23T01:32:33.1466091Z 
2022-11-23T01:32:33.1466157Z  
2022-11-23T01:32:33.1466346Z [2022-11-23 01:32:25,262] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1466423Z  - 
2022-11-23T01:32:33.1466540Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1466610Z             {
2022-11-23T01:32:33.1466755Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1466949Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1467072Z                 'obj_weakref': None
2022-11-23T01:32:33.1467296Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1467365Z             }
2022-11-23T01:32:33.1467437Z             
2022-11-23T01:32:33.1467506Z  - 
2022-11-23T01:32:33.1467639Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1467708Z             {
2022-11-23T01:32:33.1467856Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1467970Z                 'code': None,
2022-11-23T01:32:33.1468182Z                 'obj_weakref': <weakref at 0x7f1f25b47510; to 'Tensor' at 0x7f1f25f0b8d0>
2022-11-23T01:32:33.1468432Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1468495Z             }
2022-11-23T01:32:33.1468563Z             
2022-11-23T01:32:33.1468642Z  - 
2022-11-23T01:32:33.1468770Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1468837Z             {
2022-11-23T01:32:33.1468986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1469090Z                 'code': None,
2022-11-23T01:32:33.1469308Z                 'obj_weakref': <weakref at 0x7f1f25a04d10; to 'Tensor' at 0x7f206814dd50>
2022-11-23T01:32:33.1469560Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1469629Z             }
2022-11-23T01:32:33.1469698Z             
2022-11-23T01:32:33.1469775Z  - 
2022-11-23T01:32:33.1469909Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1469971Z             {
2022-11-23T01:32:33.1470149Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1470434Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1470582Z                 'obj_weakref': None
2022-11-23T01:32:33.1470841Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1470941Z             }
2022-11-23T01:32:33.1471009Z             
2022-11-23T01:32:33.1471079Z  - 
2022-11-23T01:32:33.1471207Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1471276Z             {
2022-11-23T01:32:33.1471419Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1471643Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1471772Z                 'obj_weakref': None
2022-11-23T01:32:33.1471998Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1472070Z             }
2022-11-23T01:32:33.1472131Z             
2022-11-23T01:32:33.1472397Z [2022-11-23 01:32:25,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1010
2022-11-23T01:32:33.1472651Z [2022-11-23 01:32:25,271] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1473021Z [2022-11-23 01:32:25,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cy/ccyi2o6jtshga7pm67c4dz3p7bv5zvjv2qab6raddpcycjas6pch.py
2022-11-23T01:32:33.1473291Z [2022-11-23 01:32:25,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1010
2022-11-23T01:32:33.1473297Z 
2022-11-23T01:32:33.1473397Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1473477Z import torch
2022-11-23T01:32:33.1473553Z import random
2022-11-23T01:32:33.1473667Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1473792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1473800Z 
2022-11-23T01:32:33.1473884Z aten = torch.ops.aten
2022-11-23T01:32:33.1474023Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1474121Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1474126Z 
2022-11-23T01:32:33.1474200Z import triton
2022-11-23T01:32:33.1474297Z import triton.language as tl
2022-11-23T01:32:33.1474418Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1474561Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1474566Z 
2022-11-23T01:32:33.1474571Z 
2022-11-23T01:32:33.1474727Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1474802Z import triton
2022-11-23T01:32:33.1474894Z import triton.language as tl
2022-11-23T01:32:33.1475011Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1475113Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1475247Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1475370Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1475375Z 
2022-11-23T01:32:33.1475759Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1475839Z @triton.jit
2022-11-23T01:32:33.1475989Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1476066Z     xnumel = 100
2022-11-23T01:32:33.1476163Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1476296Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1476380Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1476449Z     x0 = xindex % 10
2022-11-23T01:32:33.1476530Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1476602Z     x2 = xindex
2022-11-23T01:32:33.1476716Z     tmp0 = tl.load(in_ptr0 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1476855Z     tmp1 = tl.load(in_ptr1 + ((2*x0) + (30*x1)), xmask)
2022-11-23T01:32:33.1476937Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1477074Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1477154Z ''')
2022-11-23T01:32:33.1477159Z 
2022-11-23T01:32:33.1477164Z 
2022-11-23T01:32:33.1477283Z async_compile.wait(globals())
2022-11-23T01:32:33.1477361Z del async_compile
2022-11-23T01:32:33.1477366Z 
2022-11-23T01:32:33.1477443Z def call(args):
2022-11-23T01:32:33.1477522Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1477598Z     args.clear()
2022-11-23T01:32:33.1477800Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1477884Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1478031Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1478103Z     del arg0_1
2022-11-23T01:32:33.1478176Z     del arg1_1
2022-11-23T01:32:33.1478252Z     return (buf0, )
2022-11-23T01:32:33.1478257Z 
2022-11-23T01:32:33.1478264Z 
2022-11-23T01:32:33.1478345Z if __name__ == "__main__":
2022-11-23T01:32:33.1478469Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1478599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1478797Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1479005Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1479129Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1479135Z 
2022-11-23T01:32:33.1479205Z ok (0.094s)
2022-11-23T01:32:33.1479553Z   test_cuda_strided_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1479868Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1480090Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1480344Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1480621Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1480934Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1481282Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1481606Z [2022-11-23 01:32:25,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1481992Z [2022-11-23 01:32:25,351] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1482094Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1482191Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1482272Z               4 BINARY_ADD
2022-11-23T01:32:33.1482365Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1482445Z               8 RETURN_VALUE
2022-11-23T01:32:33.1482504Z  
2022-11-23T01:32:33.1482509Z 
2022-11-23T01:32:33.1482825Z [2022-11-23 01:32:25,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1483070Z [2022-11-23 01:32:25,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1483328Z [2022-11-23 01:32:25,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1483634Z [2022-11-23 01:32:25,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1483879Z [2022-11-23 01:32:25,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1484125Z [2022-11-23 01:32:25,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1484526Z [2022-11-23 01:32:25,352] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1484778Z [2022-11-23 01:32:25,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1485008Z [2022-11-23 01:32:25,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1485266Z [2022-11-23 01:32:25,353] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1485522Z [2022-11-23 01:32:25,356] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1485718Z [2022-11-23 01:32:25,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1485861Z  __compiled_fn_1029 <eval_with_key>.6304 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1485958Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1486050Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1486233Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1486326Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1486341Z 
2022-11-23T01:32:33.1486664Z [2022-11-23 01:32:25,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1486768Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1486865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1486962Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1487064Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1487158Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1487252Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1487328Z              12 RETURN_VALUE
2022-11-23T01:32:33.1487334Z 
2022-11-23T01:32:33.1487400Z  
2022-11-23T01:32:33.1487725Z [2022-11-23 01:32:25,356] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1487844Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1029)
2022-11-23T01:32:33.1487940Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1488036Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1488118Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1488215Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1488304Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1488384Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1488478Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1488591Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1488703Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1488805Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1488885Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1488972Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1489052Z              26 RETURN_VALUE
2022-11-23T01:32:33.1489057Z 
2022-11-23T01:32:33.1489124Z  
2022-11-23T01:32:33.1489312Z [2022-11-23 01:32:25,357] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1489387Z  - 
2022-11-23T01:32:33.1489517Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1489588Z             {
2022-11-23T01:32:33.1489727Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1489956Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1490080Z                 'obj_weakref': None
2022-11-23T01:32:33.1490312Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1490382Z             }
2022-11-23T01:32:33.1490493Z             
2022-11-23T01:32:33.1490569Z  - 
2022-11-23T01:32:33.1490691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1490761Z             {
2022-11-23T01:32:33.1490908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1491021Z                 'code': None,
2022-11-23T01:32:33.1491241Z                 'obj_weakref': <weakref at 0x7f1f25bc4130; to 'Tensor' at 0x7f1f25f0b8d0>
2022-11-23T01:32:33.1491493Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1491561Z             }
2022-11-23T01:32:33.1491622Z             
2022-11-23T01:32:33.1491699Z  - 
2022-11-23T01:32:33.1491828Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1491898Z             {
2022-11-23T01:32:33.1492044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1492156Z                 'code': None,
2022-11-23T01:32:33.1492366Z                 'obj_weakref': <weakref at 0x7f1f25bc4e00; to 'Tensor' at 0x7f206814dd50>
2022-11-23T01:32:33.1492612Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1492682Z             }
2022-11-23T01:32:33.1492751Z             
2022-11-23T01:32:33.1492826Z  - 
2022-11-23T01:32:33.1492982Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1493054Z             {
2022-11-23T01:32:33.1493216Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1493382Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1493505Z                 'obj_weakref': None
2022-11-23T01:32:33.1493739Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1493808Z             }
2022-11-23T01:32:33.1493876Z             
2022-11-23T01:32:33.1493950Z  - 
2022-11-23T01:32:33.1494078Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1494139Z             {
2022-11-23T01:32:33.1494281Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1494500Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1494622Z                 'obj_weakref': None
2022-11-23T01:32:33.1494846Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1494916Z             }
2022-11-23T01:32:33.1494983Z             
2022-11-23T01:32:33.1495238Z [2022-11-23 01:32:25,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1011
2022-11-23T01:32:33.1495485Z [2022-11-23 01:32:25,366] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1495852Z [2022-11-23 01:32:25,565] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/75/c75gb2xj7imfqtprhvhylfalpceca6t36ep4j5rjodhw6a7l2tjn.py
2022-11-23T01:32:33.1496120Z [2022-11-23 01:32:25,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1011
2022-11-23T01:32:33.1496128Z 
2022-11-23T01:32:33.1496229Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1496308Z import torch
2022-11-23T01:32:33.1496382Z import random
2022-11-23T01:32:33.1496504Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1496623Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1496636Z 
2022-11-23T01:32:33.1496712Z aten = torch.ops.aten
2022-11-23T01:32:33.1496855Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1496951Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1496956Z 
2022-11-23T01:32:33.1497031Z import triton
2022-11-23T01:32:33.1497159Z import triton.language as tl
2022-11-23T01:32:33.1497291Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1497434Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1497440Z 
2022-11-23T01:32:33.1497444Z 
2022-11-23T01:32:33.1497624Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1497692Z import triton
2022-11-23T01:32:33.1497785Z import triton.language as tl
2022-11-23T01:32:33.1497901Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1498004Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1498139Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1498270Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1498275Z 
2022-11-23T01:32:33.1498723Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1499106Z @triton.jit
2022-11-23T01:32:33.1499282Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.1499358Z     xnumel = 10
2022-11-23T01:32:33.1499435Z     ynumel = 10
2022-11-23T01:32:33.1499535Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1499675Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1499758Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1499855Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.1499983Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.1500066Z     ymask = yindex < ynumel
2022-11-23T01:32:33.1500138Z     x0 = xindex
2022-11-23T01:32:33.1500210Z     y1 = yindex
2022-11-23T01:32:33.1500329Z     tmp0 = tl.load(in_ptr0 + ((2*y1) + (30*x0)), xmask & ymask)
2022-11-23T01:32:33.1500449Z     tmp1 = tl.load(in_ptr1 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.1500532Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1500684Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:33.1500775Z ''')
2022-11-23T01:32:33.1500781Z 
2022-11-23T01:32:33.1500786Z 
2022-11-23T01:32:33.1500882Z async_compile.wait(globals())
2022-11-23T01:32:33.1500960Z del async_compile
2022-11-23T01:32:33.1500965Z 
2022-11-23T01:32:33.1501039Z def call(args):
2022-11-23T01:32:33.1501118Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1501194Z     args.clear()
2022-11-23T01:32:33.1501392Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1501485Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1501632Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.1501707Z     del arg0_1
2022-11-23T01:32:33.1501780Z     del arg1_1
2022-11-23T01:32:33.1501856Z     return (buf0, )
2022-11-23T01:32:33.1501861Z 
2022-11-23T01:32:33.1501868Z 
2022-11-23T01:32:33.1501952Z if __name__ == "__main__":
2022-11-23T01:32:33.1502070Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1502191Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1502399Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1502607Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1502727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1502733Z 
2022-11-23T01:32:33.1502806Z ok (0.220s)
2022-11-23T01:32:33.1503157Z   test_cuda_transposed_broadcast1 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1503472Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1503762Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1504023Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1504297Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1504664Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1505013Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1505336Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1505724Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1505822Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1505920Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1506002Z               4 BINARY_ADD
2022-11-23T01:32:33.1506097Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1506171Z               8 RETURN_VALUE
2022-11-23T01:32:33.1506237Z  
2022-11-23T01:32:33.1506242Z 
2022-11-23T01:32:33.1506559Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1506774Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1507014Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1507291Z [2022-11-23 01:32:25,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1507541Z [2022-11-23 01:32:25,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1507792Z [2022-11-23 01:32:25,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1508181Z [2022-11-23 01:32:25,571] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1508426Z [2022-11-23 01:32:25,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1508666Z [2022-11-23 01:32:25,571] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1508925Z [2022-11-23 01:32:25,572] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1509180Z [2022-11-23 01:32:25,575] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1509374Z [2022-11-23 01:32:25,575] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1509518Z  __compiled_fn_1030 <eval_with_key>.6310 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1509618Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1509710Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1509885Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1509989Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1509995Z 
2022-11-23T01:32:33.1510459Z [2022-11-23 01:32:25,575] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1510562Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1510660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1510824Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1510926Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1511020Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1511107Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1511212Z              12 RETURN_VALUE
2022-11-23T01:32:33.1511217Z 
2022-11-23T01:32:33.1511284Z  
2022-11-23T01:32:33.1518257Z [2022-11-23 01:32:25,576] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1518403Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1030)
2022-11-23T01:32:33.1518504Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1518606Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1518688Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1518778Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1518881Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1518963Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1519059Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1519172Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1519282Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1519382Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1519457Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1519555Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1519636Z              26 RETURN_VALUE
2022-11-23T01:32:33.1519642Z 
2022-11-23T01:32:33.1519711Z  
2022-11-23T01:32:33.1519918Z [2022-11-23 01:32:25,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1519994Z  - 
2022-11-23T01:32:33.1520119Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1520183Z             {
2022-11-23T01:32:33.1520328Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1520524Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1520649Z                 'obj_weakref': None
2022-11-23T01:32:33.1520876Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1520945Z             }
2022-11-23T01:32:33.1521016Z             
2022-11-23T01:32:33.1521086Z  - 
2022-11-23T01:32:33.1521217Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1521286Z             {
2022-11-23T01:32:33.1521435Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1521547Z                 'code': None,
2022-11-23T01:32:33.1521764Z                 'obj_weakref': <weakref at 0x7f1f25a043b0; to 'Tensor' at 0x7f2151f1b560>
2022-11-23T01:32:33.1522013Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1522075Z             }
2022-11-23T01:32:33.1522146Z             
2022-11-23T01:32:33.1522223Z  - 
2022-11-23T01:32:33.1522352Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1522420Z             {
2022-11-23T01:32:33.1522569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1522686Z                 'code': None,
2022-11-23T01:32:33.1522915Z                 'obj_weakref': <weakref at 0x7f1f25bc4680; to 'Tensor' at 0x7f1fd813a020>
2022-11-23T01:32:33.1523199Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1523270Z             }
2022-11-23T01:32:33.1523338Z             
2022-11-23T01:32:33.1523414Z  - 
2022-11-23T01:32:33.1523550Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1523623Z             {
2022-11-23T01:32:33.1523756Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1523930Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1524055Z                 'obj_weakref': None
2022-11-23T01:32:33.1524349Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1524421Z             }
2022-11-23T01:32:33.1524489Z             
2022-11-23T01:32:33.1524567Z  - 
2022-11-23T01:32:33.1524686Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1524757Z             {
2022-11-23T01:32:33.1524928Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1525146Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1525269Z                 'obj_weakref': None
2022-11-23T01:32:33.1525490Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1525560Z             }
2022-11-23T01:32:33.1525621Z             
2022-11-23T01:32:33.1525888Z [2022-11-23 01:32:25,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1012
2022-11-23T01:32:33.1526143Z [2022-11-23 01:32:25,586] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1526509Z [2022-11-23 01:32:25,592] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjjdqdmkccljhi3ibi37wwrjgbta5atsy74vymotbnt7ifsiipcs.py
2022-11-23T01:32:33.1526778Z [2022-11-23 01:32:25,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1012
2022-11-23T01:32:33.1526787Z 
2022-11-23T01:32:33.1526886Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1526962Z import torch
2022-11-23T01:32:33.1527037Z import random
2022-11-23T01:32:33.1527152Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1527286Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1527291Z 
2022-11-23T01:32:33.1527375Z aten = torch.ops.aten
2022-11-23T01:32:33.1527516Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1527615Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1527620Z 
2022-11-23T01:32:33.1527695Z import triton
2022-11-23T01:32:33.1527791Z import triton.language as tl
2022-11-23T01:32:33.1527920Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1528058Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1528064Z 
2022-11-23T01:32:33.1528076Z 
2022-11-23T01:32:33.1528228Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1528304Z import triton
2022-11-23T01:32:33.1528398Z import triton.language as tl
2022-11-23T01:32:33.1528516Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1528623Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1528759Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1528889Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1528895Z 
2022-11-23T01:32:33.1529274Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1529351Z @triton.jit
2022-11-23T01:32:33.1529499Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1529578Z     xnumel = 100
2022-11-23T01:32:33.1529675Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1529811Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1529895Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1529968Z     x2 = xindex
2022-11-23T01:32:33.1530042Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1530144Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.1530245Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.1530324Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1530463Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1530549Z ''')
2022-11-23T01:32:33.1530554Z 
2022-11-23T01:32:33.1530560Z 
2022-11-23T01:32:33.1530652Z async_compile.wait(globals())
2022-11-23T01:32:33.1530723Z del async_compile
2022-11-23T01:32:33.1530761Z 
2022-11-23T01:32:33.1530843Z def call(args):
2022-11-23T01:32:33.1530924Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1531000Z     args.clear()
2022-11-23T01:32:33.1531205Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1531324Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1531470Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1531537Z     del arg0_1
2022-11-23T01:32:33.1531611Z     del arg1_1
2022-11-23T01:32:33.1531690Z     return (buf0, )
2022-11-23T01:32:33.1531695Z 
2022-11-23T01:32:33.1531700Z 
2022-11-23T01:32:33.1531782Z if __name__ == "__main__":
2022-11-23T01:32:33.1531904Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1532034Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1532241Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1532441Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1532557Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1532562Z 
2022-11-23T01:32:33.1532637Z ok (0.027s)
2022-11-23T01:32:33.1533014Z   test_cuda_transposed_broadcast2 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1533358Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1533580Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1533835Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1534117Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1534438Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1534782Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1535108Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1535477Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1535578Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1535675Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1535755Z               4 BINARY_ADD
2022-11-23T01:32:33.1535854Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1535936Z               8 RETURN_VALUE
2022-11-23T01:32:33.1536004Z  
2022-11-23T01:32:33.1536009Z 
2022-11-23T01:32:33.1536321Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1536530Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1536771Z [2022-11-23 01:32:25,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1537042Z [2022-11-23 01:32:25,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1537286Z [2022-11-23 01:32:25,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1537534Z [2022-11-23 01:32:25,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1537936Z [2022-11-23 01:32:25,599] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1538184Z [2022-11-23 01:32:25,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1538442Z [2022-11-23 01:32:25,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1538700Z [2022-11-23 01:32:25,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1539375Z [2022-11-23 01:32:25,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1539564Z [2022-11-23 01:32:25,602] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1539712Z  __compiled_fn_1031 <eval_with_key>.6316 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1539807Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1539903Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1540086Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1540186Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1540192Z 
2022-11-23T01:32:33.1540521Z [2022-11-23 01:32:25,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1540624Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1540715Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1540808Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1540908Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1541002Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1541097Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1541180Z              12 RETURN_VALUE
2022-11-23T01:32:33.1541185Z 
2022-11-23T01:32:33.1541250Z  
2022-11-23T01:32:33.1541571Z [2022-11-23 01:32:25,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1541690Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1031)
2022-11-23T01:32:33.1541790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1541888Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1541972Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1542070Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1542163Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1542237Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1542332Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1542446Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1542556Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1542653Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1542738Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1542832Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1542919Z              26 RETURN_VALUE
2022-11-23T01:32:33.1542924Z 
2022-11-23T01:32:33.1542983Z  
2022-11-23T01:32:33.1543176Z [2022-11-23 01:32:25,604] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1543254Z  - 
2022-11-23T01:32:33.1543380Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1543448Z             {
2022-11-23T01:32:33.1543595Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1543787Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1543906Z                 'obj_weakref': None
2022-11-23T01:32:33.1544134Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1544204Z             }
2022-11-23T01:32:33.1544273Z             
2022-11-23T01:32:33.1544349Z  - 
2022-11-23T01:32:33.1544560Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1544630Z             {
2022-11-23T01:32:33.1544772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1544884Z                 'code': None,
2022-11-23T01:32:33.1545095Z                 'obj_weakref': <weakref at 0x7f1fd81b5530; to 'Tensor' at 0x7f2151f1b5b0>
2022-11-23T01:32:33.1545372Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1545442Z             }
2022-11-23T01:32:33.1545512Z             
2022-11-23T01:32:33.1545588Z  - 
2022-11-23T01:32:33.1545708Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1545775Z             {
2022-11-23T01:32:33.1545925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1546036Z                 'code': None,
2022-11-23T01:32:33.1546252Z                 'obj_weakref': <weakref at 0x7f1fd81b7d80; to 'Tensor' at 0x7f1f25f0b8d0>
2022-11-23T01:32:33.1546504Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1546573Z             }
2022-11-23T01:32:33.1546634Z             
2022-11-23T01:32:33.1546712Z  - 
2022-11-23T01:32:33.1546847Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1546918Z             {
2022-11-23T01:32:33.1547058Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1547237Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1547362Z                 'obj_weakref': None
2022-11-23T01:32:33.1547591Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1547661Z             }
2022-11-23T01:32:33.1547730Z             
2022-11-23T01:32:33.1547806Z  - 
2022-11-23T01:32:33.1547935Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1548004Z             {
2022-11-23T01:32:33.1548148Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1548367Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1548492Z                 'obj_weakref': None
2022-11-23T01:32:33.1548722Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1548796Z             }
2022-11-23T01:32:33.1548865Z             
2022-11-23T01:32:33.1549136Z [2022-11-23 01:32:25,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1013
2022-11-23T01:32:33.1549391Z [2022-11-23 01:32:25,612] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1549756Z [2022-11-23 01:32:25,619] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rv/crvqussizhqerscxfheu7yco2d7kdkkfnxktcfilejslb4p2bxbz.py
2022-11-23T01:32:33.1550027Z [2022-11-23 01:32:25,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1013
2022-11-23T01:32:33.1550033Z 
2022-11-23T01:32:33.1550137Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1550214Z import torch
2022-11-23T01:32:33.1550388Z import random
2022-11-23T01:32:33.1550530Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1550658Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1550667Z 
2022-11-23T01:32:33.1550753Z aten = torch.ops.aten
2022-11-23T01:32:33.1550886Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1550985Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1550990Z 
2022-11-23T01:32:33.1551064Z import triton
2022-11-23T01:32:33.1551156Z import triton.language as tl
2022-11-23T01:32:33.1551284Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1551425Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1551431Z 
2022-11-23T01:32:33.1551435Z 
2022-11-23T01:32:33.1551594Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1551668Z import triton
2022-11-23T01:32:33.1551789Z import triton.language as tl
2022-11-23T01:32:33.1551909Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1552013Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1552148Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1552310Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1552315Z 
2022-11-23T01:32:33.1552711Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1552785Z @triton.jit
2022-11-23T01:32:33.1552945Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1553026Z     xnumel = 100
2022-11-23T01:32:33.1553138Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1553283Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1553370Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1553443Z     x2 = xindex
2022-11-23T01:32:33.1553519Z     x0 = xindex % 10
2022-11-23T01:32:33.1553619Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.1553711Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1553790Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1553937Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1554024Z ''')
2022-11-23T01:32:33.1554030Z 
2022-11-23T01:32:33.1554034Z 
2022-11-23T01:32:33.1554130Z async_compile.wait(globals())
2022-11-23T01:32:33.1554208Z del async_compile
2022-11-23T01:32:33.1554214Z 
2022-11-23T01:32:33.1554290Z def call(args):
2022-11-23T01:32:33.1554369Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1554439Z     args.clear()
2022-11-23T01:32:33.1554652Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1554745Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1554893Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1554966Z     del arg0_1
2022-11-23T01:32:33.1555040Z     del arg1_1
2022-11-23T01:32:33.1555116Z     return (buf0, )
2022-11-23T01:32:33.1555122Z 
2022-11-23T01:32:33.1555126Z 
2022-11-23T01:32:33.1555200Z if __name__ == "__main__":
2022-11-23T01:32:33.1555321Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1555451Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1555657Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1555863Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1555984Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1555990Z 
2022-11-23T01:32:33.1556060Z ok (0.027s)
2022-11-23T01:32:33.1556411Z   test_cuda_transposed_broadcast3 (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1556720Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1556942Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1557206Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1557485Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1557803Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1558145Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1558499Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1558877Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1559008Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1559112Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1559185Z               4 BINARY_ADD
2022-11-23T01:32:33.1559285Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1559369Z               8 RETURN_VALUE
2022-11-23T01:32:33.1559440Z  
2022-11-23T01:32:33.1559445Z 
2022-11-23T01:32:33.1559768Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1559986Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1560232Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1560505Z [2022-11-23 01:32:25,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1560747Z [2022-11-23 01:32:25,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1560999Z [2022-11-23 01:32:25,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1561383Z [2022-11-23 01:32:25,625] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1561632Z [2022-11-23 01:32:25,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1561874Z [2022-11-23 01:32:25,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1562133Z [2022-11-23 01:32:25,626] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1562393Z [2022-11-23 01:32:25,629] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1562596Z [2022-11-23 01:32:25,630] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1562744Z  __compiled_fn_1032 <eval_with_key>.6322 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1562840Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1562927Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1563112Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1563215Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1563221Z 
2022-11-23T01:32:33.1563549Z [2022-11-23 01:32:25,630] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1563655Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1563753Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1563852Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1563949Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1564049Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1564151Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1564235Z              12 RETURN_VALUE
2022-11-23T01:32:33.1564240Z 
2022-11-23T01:32:33.1564306Z  
2022-11-23T01:32:33.1564625Z [2022-11-23 01:32:25,630] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1564744Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1032)
2022-11-23T01:32:33.1564843Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1564976Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1565062Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1565161Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1565258Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1565340Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1565460Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1565577Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1565680Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1565782Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1565864Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1565960Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1566041Z              26 RETURN_VALUE
2022-11-23T01:32:33.1566047Z 
2022-11-23T01:32:33.1566114Z  
2022-11-23T01:32:33.1566303Z [2022-11-23 01:32:25,631] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1566373Z  - 
2022-11-23T01:32:33.1566500Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1566571Z             {
2022-11-23T01:32:33.1566717Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1566910Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1567037Z                 'obj_weakref': None
2022-11-23T01:32:33.1567263Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1567333Z             }
2022-11-23T01:32:33.1567395Z             
2022-11-23T01:32:33.1567472Z  - 
2022-11-23T01:32:33.1567603Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1567673Z             {
2022-11-23T01:32:33.1567822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1567936Z                 'code': None,
2022-11-23T01:32:33.1568144Z                 'obj_weakref': <weakref at 0x7f1f25bc4bd0; to 'Tensor' at 0x7f2151f1b600>
2022-11-23T01:32:33.1568401Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1568472Z             }
2022-11-23T01:32:33.1568541Z             
2022-11-23T01:32:33.1568617Z  - 
2022-11-23T01:32:33.1568745Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1568818Z             {
2022-11-23T01:32:33.1568958Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1569071Z                 'code': None,
2022-11-23T01:32:33.1569284Z                 'obj_weakref': <weakref at 0x7f1f25b76110; to 'Tensor' at 0x7f2151f1b560>
2022-11-23T01:32:33.1569534Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1569605Z             }
2022-11-23T01:32:33.1569673Z             
2022-11-23T01:32:33.1569750Z  - 
2022-11-23T01:32:33.1569880Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1569950Z             {
2022-11-23T01:32:33.1570092Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1570270Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1570395Z                 'obj_weakref': None
2022-11-23T01:32:33.1570630Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1570702Z             }
2022-11-23T01:32:33.1570770Z             
2022-11-23T01:32:33.1570839Z  - 
2022-11-23T01:32:33.1570966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1571036Z             {
2022-11-23T01:32:33.1571180Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1571401Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1571527Z                 'obj_weakref': None
2022-11-23T01:32:33.1571756Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1571818Z             }
2022-11-23T01:32:33.1571887Z             
2022-11-23T01:32:33.1572193Z [2022-11-23 01:32:25,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1014
2022-11-23T01:32:33.1572448Z [2022-11-23 01:32:25,640] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1572816Z [2022-11-23 01:32:25,644] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fa/cfadwh3ptpn2vb7h6uxwcwmnpo6oyo7yah7mdgtclurnlqewdlsi.py
2022-11-23T01:32:33.1573152Z [2022-11-23 01:32:25,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1014
2022-11-23T01:32:33.1573159Z 
2022-11-23T01:32:33.1573264Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1573339Z import torch
2022-11-23T01:32:33.1573408Z import random
2022-11-23T01:32:33.1573530Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1573659Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1573664Z 
2022-11-23T01:32:33.1573749Z aten = torch.ops.aten
2022-11-23T01:32:33.1573892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1573990Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1573995Z 
2022-11-23T01:32:33.1574070Z import triton
2022-11-23T01:32:33.1574157Z import triton.language as tl
2022-11-23T01:32:33.1574286Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1574431Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1574437Z 
2022-11-23T01:32:33.1574441Z 
2022-11-23T01:32:33.1574597Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1574672Z import triton
2022-11-23T01:32:33.1574766Z import triton.language as tl
2022-11-23T01:32:33.1574883Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1574986Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1575115Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1575246Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1575251Z 
2022-11-23T01:32:33.1575642Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1575718Z @triton.jit
2022-11-23T01:32:33.1575867Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1575944Z     xnumel = 100
2022-11-23T01:32:33.1576044Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1576176Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1576254Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1576327Z     x0 = xindex
2022-11-23T01:32:33.1576427Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1576561Z     tmp1 = tl.load(in_ptr1 + (0 + tl.zeros([XBLOCK], tl.int32)), None)
2022-11-23T01:32:33.1576642Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1576781Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1576872Z ''')
2022-11-23T01:32:33.1576877Z 
2022-11-23T01:32:33.1576882Z 
2022-11-23T01:32:33.1576969Z async_compile.wait(globals())
2022-11-23T01:32:33.1577048Z del async_compile
2022-11-23T01:32:33.1577053Z 
2022-11-23T01:32:33.1577129Z def call(args):
2022-11-23T01:32:33.1577213Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1577289Z     args.clear()
2022-11-23T01:32:33.1577491Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1577582Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1577730Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1577796Z     del arg0_1
2022-11-23T01:32:33.1577869Z     del arg1_1
2022-11-23T01:32:33.1577944Z     return (buf0, )
2022-11-23T01:32:33.1577950Z 
2022-11-23T01:32:33.1577954Z 
2022-11-23T01:32:33.1578035Z if __name__ == "__main__":
2022-11-23T01:32:33.1578156Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1578316Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1578525Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1578714Z     arg1_1 = rand_strided((1, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1579171Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1579178Z 
2022-11-23T01:32:33.1579256Z ok (0.025s)
2022-11-23T01:32:33.1579608Z   test_cuda_transposed_dense (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1579926Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1580145Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1580401Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1580679Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1580994Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1581341Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1581652Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1582028Z [2022-11-23 01:32:25,649] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1582131Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1582228Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1582306Z               4 BINARY_ADD
2022-11-23T01:32:33.1582402Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1582485Z               8 RETURN_VALUE
2022-11-23T01:32:33.1582554Z  
2022-11-23T01:32:33.1582559Z 
2022-11-23T01:32:33.1582865Z [2022-11-23 01:32:25,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1583079Z [2022-11-23 01:32:25,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1583319Z [2022-11-23 01:32:25,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1583595Z [2022-11-23 01:32:25,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1583840Z [2022-11-23 01:32:25,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1584085Z [2022-11-23 01:32:25,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1584462Z [2022-11-23 01:32:25,651] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1584713Z [2022-11-23 01:32:25,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1584955Z [2022-11-23 01:32:25,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1585210Z [2022-11-23 01:32:25,652] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1585456Z [2022-11-23 01:32:25,655] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1585720Z [2022-11-23 01:32:25,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1585864Z  __compiled_fn_1033 <eval_with_key>.6328 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1585960Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1586053Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1586270Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1586372Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1586377Z 
2022-11-23T01:32:33.1586708Z [2022-11-23 01:32:25,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1586802Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1586901Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1586996Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1587099Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1587190Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1587290Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1587371Z              12 RETURN_VALUE
2022-11-23T01:32:33.1587376Z 
2022-11-23T01:32:33.1587435Z  
2022-11-23T01:32:33.1587760Z [2022-11-23 01:32:25,655] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1587881Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1033)
2022-11-23T01:32:33.1587978Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1588075Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1588157Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1588252Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1588348Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1588423Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1588517Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1588638Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1588748Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1588844Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1588926Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1589020Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1589097Z              26 RETURN_VALUE
2022-11-23T01:32:33.1589102Z 
2022-11-23T01:32:33.1589166Z  
2022-11-23T01:32:33.1589355Z [2022-11-23 01:32:25,656] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1589431Z  - 
2022-11-23T01:32:33.1589557Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1589626Z             {
2022-11-23T01:32:33.1589770Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1589954Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1590079Z                 'obj_weakref': None
2022-11-23T01:32:33.1590437Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1590524Z             }
2022-11-23T01:32:33.1590613Z             
2022-11-23T01:32:33.1590713Z  - 
2022-11-23T01:32:33.1590846Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1590908Z             {
2022-11-23T01:32:33.1591058Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1591169Z                 'code': None,
2022-11-23T01:32:33.1591381Z                 'obj_weakref': <weakref at 0x7f1f25a81990; to 'Tensor' at 0x7f1f25bc7ce0>
2022-11-23T01:32:33.1591631Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1591701Z             }
2022-11-23T01:32:33.1591769Z             
2022-11-23T01:32:33.1591839Z  - 
2022-11-23T01:32:33.1591967Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1592036Z             {
2022-11-23T01:32:33.1592183Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1592339Z                 'code': None,
2022-11-23T01:32:33.1592552Z                 'obj_weakref': <weakref at 0x7f1f25a818f0; to 'Tensor' at 0x7f1f25bc7920>
2022-11-23T01:32:33.1592805Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1592890Z             }
2022-11-23T01:32:33.1592960Z             
2022-11-23T01:32:33.1593036Z  - 
2022-11-23T01:32:33.1593173Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1593244Z             {
2022-11-23T01:32:33.1593385Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1593562Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1593679Z                 'obj_weakref': None
2022-11-23T01:32:33.1593907Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1593980Z             }
2022-11-23T01:32:33.1594048Z             
2022-11-23T01:32:33.1594127Z  - 
2022-11-23T01:32:33.1594255Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1594324Z             {
2022-11-23T01:32:33.1594458Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1594676Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1594804Z                 'obj_weakref': None
2022-11-23T01:32:33.1595028Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1595098Z             }
2022-11-23T01:32:33.1595165Z             
2022-11-23T01:32:33.1595429Z [2022-11-23 01:32:25,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1015
2022-11-23T01:32:33.1595679Z [2022-11-23 01:32:25,665] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1596033Z [2022-11-23 01:32:25,871] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sf/csfnmhqoecvejaxzm252q7bd2zt5rmiytqezer6ey26qbjazzpx6.py
2022-11-23T01:32:33.1596309Z [2022-11-23 01:32:25,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1015
2022-11-23T01:32:33.1596315Z 
2022-11-23T01:32:33.1596416Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1596490Z import torch
2022-11-23T01:32:33.1596568Z import random
2022-11-23T01:32:33.1596692Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1596819Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1596825Z 
2022-11-23T01:32:33.1596907Z aten = torch.ops.aten
2022-11-23T01:32:33.1597040Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1597138Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1597143Z 
2022-11-23T01:32:33.1597216Z import triton
2022-11-23T01:32:33.1597311Z import triton.language as tl
2022-11-23T01:32:33.1597438Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1597583Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1597592Z 
2022-11-23T01:32:33.1597596Z 
2022-11-23T01:32:33.1597756Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1597831Z import triton
2022-11-23T01:32:33.1597917Z import triton.language as tl
2022-11-23T01:32:33.1598033Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1598140Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1598278Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1598406Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1598411Z 
2022-11-23T01:32:33.1598854Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1598927Z @triton.jit
2022-11-23T01:32:33.1599141Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.1599210Z     xnumel = 10
2022-11-23T01:32:33.1599283Z     ynumel = 10
2022-11-23T01:32:33.1599386Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1599525Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1599634Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1599732Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.1599867Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.1599943Z     ymask = yindex < ynumel
2022-11-23T01:32:33.1600016Z     x0 = xindex
2022-11-23T01:32:33.1600088Z     y1 = yindex
2022-11-23T01:32:33.1600206Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.1600323Z     tmp1 = tl.load(in_ptr1 + (y1 + (10*x0)), xmask & ymask)
2022-11-23T01:32:33.1600402Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1600564Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:33.1600648Z ''')
2022-11-23T01:32:33.1600654Z 
2022-11-23T01:32:33.1600668Z 
2022-11-23T01:32:33.1600756Z async_compile.wait(globals())
2022-11-23T01:32:33.1600833Z del async_compile
2022-11-23T01:32:33.1600838Z 
2022-11-23T01:32:33.1600914Z def call(args):
2022-11-23T01:32:33.1600994Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1601076Z     args.clear()
2022-11-23T01:32:33.1601280Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1601372Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1601515Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.1601589Z     del arg0_1
2022-11-23T01:32:33.1601662Z     del arg1_1
2022-11-23T01:32:33.1601738Z     return (buf0, )
2022-11-23T01:32:33.1601743Z 
2022-11-23T01:32:33.1601748Z 
2022-11-23T01:32:33.1601829Z if __name__ == "__main__":
2022-11-23T01:32:33.1601949Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1602081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1602277Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1602478Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1602602Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1602608Z 
2022-11-23T01:32:33.1602680Z ok (0.227s)
2022-11-23T01:32:33.1603061Z   test_cuda_transposed_double (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1603390Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1603612Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1603872Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1604148Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1604458Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1604801Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1605121Z [2022-11-23 01:32:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1605507Z [2022-11-23 01:32:25,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1605634Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1605737Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1605816Z               4 BINARY_ADD
2022-11-23T01:32:33.1605912Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1605992Z               8 RETURN_VALUE
2022-11-23T01:32:33.1606078Z  
2022-11-23T01:32:33.1606083Z 
2022-11-23T01:32:33.1606403Z [2022-11-23 01:32:25,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1606622Z [2022-11-23 01:32:25,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1606866Z [2022-11-23 01:32:25,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1607144Z [2022-11-23 01:32:25,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1607395Z [2022-11-23 01:32:25,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1607645Z [2022-11-23 01:32:25,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1608033Z [2022-11-23 01:32:25,878] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1608282Z [2022-11-23 01:32:25,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1608512Z [2022-11-23 01:32:25,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1608771Z [2022-11-23 01:32:25,879] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1609025Z [2022-11-23 01:32:25,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1609221Z [2022-11-23 01:32:25,882] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1609366Z  __compiled_fn_1034 <eval_with_key>.6334 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1609461Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1609554Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1609742Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1609836Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1609849Z 
2022-11-23T01:32:33.1610172Z [2022-11-23 01:32:25,882] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1610274Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1610372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1610469Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1610570Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1610666Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1610764Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1610840Z              12 RETURN_VALUE
2022-11-23T01:32:33.1610853Z 
2022-11-23T01:32:33.1610913Z  
2022-11-23T01:32:33.1611235Z [2022-11-23 01:32:25,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1611357Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1034)
2022-11-23T01:32:33.1611454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1611553Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1611636Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1611732Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1611821Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1611904Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1611999Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1612158Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1612270Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1612365Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1612452Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1612539Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1612648Z              26 RETURN_VALUE
2022-11-23T01:32:33.1612653Z 
2022-11-23T01:32:33.1612720Z  
2022-11-23T01:32:33.1612911Z [2022-11-23 01:32:25,883] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1613006Z  - 
2022-11-23T01:32:33.1613144Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1613229Z             {
2022-11-23T01:32:33.1613365Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1613558Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1613683Z                 'obj_weakref': None
2022-11-23T01:32:33.1613910Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1613979Z             }
2022-11-23T01:32:33.1614048Z             
2022-11-23T01:32:33.1614125Z  - 
2022-11-23T01:32:33.1614247Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1614316Z             {
2022-11-23T01:32:33.1614466Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1614585Z                 'code': None,
2022-11-23T01:32:33.1614802Z                 'obj_weakref': <weakref at 0x7f1f25be2430; to 'Tensor' at 0x7f2151f1b6a0>
2022-11-23T01:32:33.1615052Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1615122Z             }
2022-11-23T01:32:33.1615184Z             
2022-11-23T01:32:33.1615262Z  - 
2022-11-23T01:32:33.1615388Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1615456Z             {
2022-11-23T01:32:33.1615603Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1615713Z                 'code': None,
2022-11-23T01:32:33.1615928Z                 'obj_weakref': <weakref at 0x7f1f25be1620; to 'Tensor' at 0x7f1f25f0b8d0>
2022-11-23T01:32:33.1616174Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1616247Z             }
2022-11-23T01:32:33.1616316Z             
2022-11-23T01:32:33.1616392Z  - 
2022-11-23T01:32:33.1616528Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1616598Z             {
2022-11-23T01:32:33.1616738Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1616905Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1617031Z                 'obj_weakref': None
2022-11-23T01:32:33.1617262Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1617330Z             }
2022-11-23T01:32:33.1617398Z             
2022-11-23T01:32:33.1617472Z  - 
2022-11-23T01:32:33.1617604Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1617666Z             {
2022-11-23T01:32:33.1617811Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1618030Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1618156Z                 'obj_weakref': None
2022-11-23T01:32:33.1618381Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1618458Z             }
2022-11-23T01:32:33.1618529Z             
2022-11-23T01:32:33.1618804Z [2022-11-23 01:32:25,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1016
2022-11-23T01:32:33.1619534Z [2022-11-23 01:32:25,891] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1619905Z [2022-11-23 01:32:26,081] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zd/czd4bykijyjn2ru65um2xbi35uh2k3u3w4afynzllypnjcs7xq3b.py
2022-11-23T01:32:33.1620260Z [2022-11-23 01:32:26,081] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1016
2022-11-23T01:32:33.1620267Z 
2022-11-23T01:32:33.1620371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1620445Z import torch
2022-11-23T01:32:33.1620577Z import random
2022-11-23T01:32:33.1620700Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1620830Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1620835Z 
2022-11-23T01:32:33.1620912Z aten = torch.ops.aten
2022-11-23T01:32:33.1621055Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1621154Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1621159Z 
2022-11-23T01:32:33.1621233Z import triton
2022-11-23T01:32:33.1621326Z import triton.language as tl
2022-11-23T01:32:33.1621454Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1621599Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1621606Z 
2022-11-23T01:32:33.1621611Z 
2022-11-23T01:32:33.1621773Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1621841Z import triton
2022-11-23T01:32:33.1621934Z import triton.language as tl
2022-11-23T01:32:33.1622051Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1622158Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1622294Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1622423Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1622428Z 
2022-11-23T01:32:33.1622874Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp64', 2: '*fp64', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1622948Z @triton.jit
2022-11-23T01:32:33.1623126Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.1623202Z     xnumel = 10
2022-11-23T01:32:33.1623274Z     ynumel = 10
2022-11-23T01:32:33.1623373Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1623516Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1623604Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1623702Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.1623831Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.1623916Z     ymask = yindex < ynumel
2022-11-23T01:32:33.1623987Z     x0 = xindex
2022-11-23T01:32:33.1624060Z     y1 = yindex
2022-11-23T01:32:33.1624180Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.1624296Z     tmp2 = tl.load(in_ptr1 + (y1 + (10*x0)), xmask & ymask)
2022-11-23T01:32:33.1624386Z     tmp1 = tmp0.to(tl.float64)
2022-11-23T01:32:33.1624459Z     tmp3 = tmp1 + tmp2
2022-11-23T01:32:33.1624622Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp3, xmask & ymask)
2022-11-23T01:32:33.1624708Z ''')
2022-11-23T01:32:33.1624714Z 
2022-11-23T01:32:33.1624718Z 
2022-11-23T01:32:33.1624812Z async_compile.wait(globals())
2022-11-23T01:32:33.1624891Z del async_compile
2022-11-23T01:32:33.1624896Z 
2022-11-23T01:32:33.1624978Z def call(args):
2022-11-23T01:32:33.1625058Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1625128Z     args.clear()
2022-11-23T01:32:33.1625333Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1625425Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1625573Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.1625646Z     del arg0_1
2022-11-23T01:32:33.1625719Z     del arg1_1
2022-11-23T01:32:33.1625796Z     return (buf0, )
2022-11-23T01:32:33.1625802Z 
2022-11-23T01:32:33.1625806Z 
2022-11-23T01:32:33.1625888Z if __name__ == "__main__":
2022-11-23T01:32:33.1626031Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1626162Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1626366Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1626572Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cuda', dtype=torch.float64)
2022-11-23T01:32:33.1626728Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1626733Z 
2022-11-23T01:32:33.1626806Z ok (0.210s)
2022-11-23T01:32:33.1627148Z   test_cuda_transposed_int (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1627462Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1627684Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1627935Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1628214Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1628531Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1628876Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1629193Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1629570Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1629674Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1629772Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1629850Z               4 BINARY_ADD
2022-11-23T01:32:33.1629938Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1630022Z               8 RETURN_VALUE
2022-11-23T01:32:33.1630089Z  
2022-11-23T01:32:33.1630094Z 
2022-11-23T01:32:33.1630534Z [2022-11-23 01:32:26,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1630779Z [2022-11-23 01:32:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1631050Z [2022-11-23 01:32:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1631513Z [2022-11-23 01:32:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1631773Z [2022-11-23 01:32:26,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1632015Z [2022-11-23 01:32:26,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1632392Z [2022-11-23 01:32:26,088] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1632641Z [2022-11-23 01:32:26,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1632878Z [2022-11-23 01:32:26,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1633138Z [2022-11-23 01:32:26,089] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1633391Z [2022-11-23 01:32:26,092] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1633617Z [2022-11-23 01:32:26,093] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1633763Z  __compiled_fn_1035 <eval_with_key>.6340 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1633860Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1633946Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1634149Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1634253Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1634259Z 
2022-11-23T01:32:33.1634586Z [2022-11-23 01:32:26,093] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1634686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1634783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1634881Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1634980Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1635068Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1635163Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1635245Z              12 RETURN_VALUE
2022-11-23T01:32:33.1635250Z 
2022-11-23T01:32:33.1635316Z  
2022-11-23T01:32:33.1635634Z [2022-11-23 01:32:26,093] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1635758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1035)
2022-11-23T01:32:33.1635857Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1635955Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1636031Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1636126Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1636221Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1636303Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1636397Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1636514Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1636626Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1636714Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1636796Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1636894Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1636976Z              26 RETURN_VALUE
2022-11-23T01:32:33.1636981Z 
2022-11-23T01:32:33.1637048Z  
2022-11-23T01:32:33.1637236Z [2022-11-23 01:32:26,094] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1637312Z  - 
2022-11-23T01:32:33.1637431Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1637501Z             {
2022-11-23T01:32:33.1637645Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1637837Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1637961Z                 'obj_weakref': None
2022-11-23T01:32:33.1638188Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1638258Z             }
2022-11-23T01:32:33.1638320Z             
2022-11-23T01:32:33.1638396Z  - 
2022-11-23T01:32:33.1638524Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1638594Z             {
2022-11-23T01:32:33.1638743Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1638857Z                 'code': None,
2022-11-23T01:32:33.1639074Z                 'obj_weakref': <weakref at 0x7f1ffadbfba0; to 'Tensor' at 0x7f2072812d90>
2022-11-23T01:32:33.1639316Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1639385Z             }
2022-11-23T01:32:33.1639454Z             
2022-11-23T01:32:33.1639529Z  - 
2022-11-23T01:32:33.1639656Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1639724Z             {
2022-11-23T01:32:33.1639872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1640013Z                 'code': None,
2022-11-23T01:32:33.1640226Z                 'obj_weakref': <weakref at 0x7f1ffadbd030; to 'Tensor' at 0x7f2072813150>
2022-11-23T01:32:33.1640479Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1640573Z             }
2022-11-23T01:32:33.1640642Z             
2022-11-23T01:32:33.1640719Z  - 
2022-11-23T01:32:33.1640858Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1640920Z             {
2022-11-23T01:32:33.1641062Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1641244Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1641373Z                 'obj_weakref': None
2022-11-23T01:32:33.1641604Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1641674Z             }
2022-11-23T01:32:33.1641742Z             
2022-11-23T01:32:33.1641814Z  - 
2022-11-23T01:32:33.1641943Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1642011Z             {
2022-11-23T01:32:33.1642153Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1642375Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1642500Z                 'obj_weakref': None
2022-11-23T01:32:33.1642725Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1642788Z             }
2022-11-23T01:32:33.1642860Z             
2022-11-23T01:32:33.1643150Z [2022-11-23 01:32:26,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1017
2022-11-23T01:32:33.1643428Z [2022-11-23 01:32:26,102] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1643794Z [2022-11-23 01:32:26,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3i/c3iorng5y25l3jyrzsanh3ccku3rqxcp7g3spqbnw5iibka5dmta.py
2022-11-23T01:32:33.1644067Z [2022-11-23 01:32:26,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1017
2022-11-23T01:32:33.1644074Z 
2022-11-23T01:32:33.1644173Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1644250Z import torch
2022-11-23T01:32:33.1644326Z import random
2022-11-23T01:32:33.1644442Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1644571Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1644576Z 
2022-11-23T01:32:33.1644661Z aten = torch.ops.aten
2022-11-23T01:32:33.1644803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1644902Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1644907Z 
2022-11-23T01:32:33.1644984Z import triton
2022-11-23T01:32:33.1645078Z import triton.language as tl
2022-11-23T01:32:33.1645200Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1645348Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1645354Z 
2022-11-23T01:32:33.1645358Z 
2022-11-23T01:32:33.1645517Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1645591Z import triton
2022-11-23T01:32:33.1645685Z import triton.language as tl
2022-11-23T01:32:33.1645804Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1645908Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1646043Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1646166Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1646171Z 
2022-11-23T01:32:33.1646558Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*i32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1646633Z @triton.jit
2022-11-23T01:32:33.1646778Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1646885Z     xnumel = 100
2022-11-23T01:32:33.1646987Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1647123Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1647208Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1647297Z     x2 = xindex
2022-11-23T01:32:33.1647379Z     x1 = (xindex // 10)
2022-11-23T01:32:33.1647480Z     tmp0 = tl.load(in_ptr0 + (x2), xmask)
2022-11-23T01:32:33.1647578Z     tmp1 = tl.load(in_ptr1 + (x1), xmask)
2022-11-23T01:32:33.1647669Z     tmp2 = tmp1.to(tl.float32)
2022-11-23T01:32:33.1647749Z     tmp3 = tmp0 + tmp2
2022-11-23T01:32:33.1647890Z     tl.store(out_ptr0 + (x2 + tl.zeros([XBLOCK], tl.int32)), tmp3, xmask)
2022-11-23T01:32:33.1647971Z ''')
2022-11-23T01:32:33.1647976Z 
2022-11-23T01:32:33.1647981Z 
2022-11-23T01:32:33.1648076Z async_compile.wait(globals())
2022-11-23T01:32:33.1648152Z del async_compile
2022-11-23T01:32:33.1648158Z 
2022-11-23T01:32:33.1648235Z def call(args):
2022-11-23T01:32:33.1648320Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1648396Z     args.clear()
2022-11-23T01:32:33.1648604Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1648689Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1648836Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1648913Z     del arg0_1
2022-11-23T01:32:33.1648985Z     del arg1_1
2022-11-23T01:32:33.1649061Z     return (buf0, )
2022-11-23T01:32:33.1649066Z 
2022-11-23T01:32:33.1649070Z 
2022-11-23T01:32:33.1649156Z if __name__ == "__main__":
2022-11-23T01:32:33.1649276Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1649409Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1649609Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1649806Z     arg1_1 = rand_strided((10, ), (1, ), device='cuda', dtype=torch.int32)
2022-11-23T01:32:33.1649934Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1649940Z 
2022-11-23T01:32:33.1650012Z ok (0.087s)
2022-11-23T01:32:33.1650365Z   test_cuda_transposed_strided (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1650688Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1650911Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1651171Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1651454Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1651774Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1652121Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1652449Z [2022-11-23 01:32:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1652837Z [2022-11-23 01:32:26,174] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1652937Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1653034Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1653113Z               4 BINARY_ADD
2022-11-23T01:32:33.1653210Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1653292Z               8 RETURN_VALUE
2022-11-23T01:32:33.1653380Z  
2022-11-23T01:32:33.1653386Z 
2022-11-23T01:32:33.1653700Z [2022-11-23 01:32:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1653918Z [2022-11-23 01:32:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1654187Z [2022-11-23 01:32:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1654464Z [2022-11-23 01:32:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1654711Z [2022-11-23 01:32:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1654965Z [2022-11-23 01:32:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1655352Z [2022-11-23 01:32:26,175] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1655601Z [2022-11-23 01:32:26,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1655835Z [2022-11-23 01:32:26,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1656096Z [2022-11-23 01:32:26,176] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1656352Z [2022-11-23 01:32:26,179] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1656547Z [2022-11-23 01:32:26,179] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1656691Z  __compiled_fn_1036 <eval_with_key>.6346 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1656787Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1656880Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1657067Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1657162Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1657167Z 
2022-11-23T01:32:33.1657493Z [2022-11-23 01:32:26,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1657598Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1657698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1657794Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1657894Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1657987Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1658083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1658159Z              12 RETURN_VALUE
2022-11-23T01:32:33.1658164Z 
2022-11-23T01:32:33.1658233Z  
2022-11-23T01:32:33.1658554Z [2022-11-23 01:32:26,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1658675Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1036)
2022-11-23T01:32:33.1658772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1659107Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1659201Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1659290Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1659386Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1659467Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1659562Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1659676Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1659790Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1659893Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1659980Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1660199Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1660289Z              26 RETURN_VALUE
2022-11-23T01:32:33.1660294Z 
2022-11-23T01:32:33.1660363Z  
2022-11-23T01:32:33.1660572Z [2022-11-23 01:32:26,180] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1660648Z  - 
2022-11-23T01:32:33.1660805Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1660875Z             {
2022-11-23T01:32:33.1661013Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1661204Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1661328Z                 'obj_weakref': None
2022-11-23T01:32:33.1661554Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1661623Z             }
2022-11-23T01:32:33.1661690Z             
2022-11-23T01:32:33.1661767Z  - 
2022-11-23T01:32:33.1661888Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1661956Z             {
2022-11-23T01:32:33.1662105Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1662216Z                 'code': None,
2022-11-23T01:32:33.1662427Z                 'obj_weakref': <weakref at 0x7f1f25b44630; to 'Tensor' at 0x7f2151f1b6f0>
2022-11-23T01:32:33.1662714Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1662795Z             }
2022-11-23T01:32:33.1662857Z             
2022-11-23T01:32:33.1662933Z  - 
2022-11-23T01:32:33.1663060Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1663129Z             {
2022-11-23T01:32:33.1663275Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1663387Z                 'code': None,
2022-11-23T01:32:33.1663599Z                 'obj_weakref': <weakref at 0x7f1f25f1b830; to 'Tensor' at 0x7f2151f1b5b0>
2022-11-23T01:32:33.1663843Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1663915Z             }
2022-11-23T01:32:33.1663983Z             
2022-11-23T01:32:33.1664058Z  - 
2022-11-23T01:32:33.1664196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1664263Z             {
2022-11-23T01:32:33.1664404Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1664576Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1664700Z                 'obj_weakref': None
2022-11-23T01:32:33.1664932Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1665000Z             }
2022-11-23T01:32:33.1665067Z             
2022-11-23T01:32:33.1665142Z  - 
2022-11-23T01:32:33.1665268Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1665330Z             {
2022-11-23T01:32:33.1665472Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1665693Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1665821Z                 'obj_weakref': None
2022-11-23T01:32:33.1666049Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1666117Z             }
2022-11-23T01:32:33.1666184Z             
2022-11-23T01:32:33.1666442Z [2022-11-23 01:32:26,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1018
2022-11-23T01:32:33.1666699Z [2022-11-23 01:32:26,189] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1667069Z [2022-11-23 01:32:26,388] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciuculualhrsb2re5wplcglhbrxz6tyybhfhlu4jqreva7gc7mo4.py
2022-11-23T01:32:33.1667339Z [2022-11-23 01:32:26,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1018
2022-11-23T01:32:33.1667345Z 
2022-11-23T01:32:33.1667445Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1667519Z import torch
2022-11-23T01:32:33.1667632Z import random
2022-11-23T01:32:33.1667756Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1667875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1667888Z 
2022-11-23T01:32:33.1667965Z aten = torch.ops.aten
2022-11-23T01:32:33.1668128Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1668226Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1668231Z 
2022-11-23T01:32:33.1668305Z import triton
2022-11-23T01:32:33.1668398Z import triton.language as tl
2022-11-23T01:32:33.1668528Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1668674Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1668680Z 
2022-11-23T01:32:33.1668684Z 
2022-11-23T01:32:33.1668835Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1668911Z import triton
2022-11-23T01:32:33.1669003Z import triton.language as tl
2022-11-23T01:32:33.1669118Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1669226Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1669362Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1669490Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1669495Z 
2022-11-23T01:32:33.1669943Z @pointwise(size_hints=[16, 16], tile_hint=TileHint.DEFAULT,filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32', 4: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1670012Z @triton.jit
2022-11-23T01:32:33.1670194Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, ynumel, XBLOCK : tl.constexpr, YBLOCK : tl.constexpr):
2022-11-23T01:32:33.1670360Z     xnumel = 10
2022-11-23T01:32:33.1670450Z     ynumel = 10
2022-11-23T01:32:33.1670550Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1670689Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1670775Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1670867Z     yoffset = tl.program_id(1) * YBLOCK
2022-11-23T01:32:33.1671003Z     yindex = yoffset + tl.reshape(tl.arange(0, YBLOCK), [1, YBLOCK])
2022-11-23T01:32:33.1671087Z     ymask = yindex < ynumel
2022-11-23T01:32:33.1671159Z     x0 = xindex
2022-11-23T01:32:33.1671234Z     y1 = yindex
2022-11-23T01:32:33.1671353Z     tmp0 = tl.load(in_ptr0 + (x0 + (10*y1)), xmask & ymask)
2022-11-23T01:32:33.1671471Z     tmp1 = tl.load(in_ptr1 + ((2*y1) + (30*x0)), xmask & ymask)
2022-11-23T01:32:33.1671544Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1671704Z     tl.store(out_ptr0 + (y1 + (10*x0) + tl.zeros([XBLOCK, YBLOCK], tl.int32)), tmp2, xmask & ymask)
2022-11-23T01:32:33.1671796Z ''')
2022-11-23T01:32:33.1671801Z 
2022-11-23T01:32:33.1671806Z 
2022-11-23T01:32:33.1671901Z async_compile.wait(globals())
2022-11-23T01:32:33.1671980Z del async_compile
2022-11-23T01:32:33.1671985Z 
2022-11-23T01:32:33.1672061Z def call(args):
2022-11-23T01:32:33.1672142Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1672217Z     args.clear()
2022-11-23T01:32:33.1672413Z     buf0 = empty_strided((10, 10), (10, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1672503Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1672653Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 10, 10, grid=grid(10, 10), stream=stream0)
2022-11-23T01:32:33.1672728Z     del arg0_1
2022-11-23T01:32:33.1672800Z     del arg1_1
2022-11-23T01:32:33.1672875Z     return (buf0, )
2022-11-23T01:32:33.1672880Z 
2022-11-23T01:32:33.1672885Z 
2022-11-23T01:32:33.1672964Z if __name__ == "__main__":
2022-11-23T01:32:33.1673083Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1673204Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1673409Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1673609Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1673764Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1673770Z 
2022-11-23T01:32:33.1673843Z ok (0.220s)
2022-11-23T01:32:33.1674201Z   test_cuda_transposed_transposed (__main__.SweepInputsCudaTest) ... [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:33.1674540Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:32:33.1674759Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:33.1675006Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:33.1675285Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:33.1675604Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1675946Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1676270Z [2022-11-23 01:32:26,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:33.1676643Z [2022-11-23 01:32:26,394] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:33.1676740Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1676841Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:33.1676920Z               4 BINARY_ADD
2022-11-23T01:32:33.1677018Z               6 BUILD_TUPLE              1
2022-11-23T01:32:33.1677093Z               8 RETURN_VALUE
2022-11-23T01:32:33.1677161Z  
2022-11-23T01:32:33.1677166Z 
2022-11-23T01:32:33.1677478Z [2022-11-23 01:32:26,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:32:33.1677692Z [2022-11-23 01:32:26,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:33.1677934Z [2022-11-23 01:32:26,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:33.1678206Z [2022-11-23 01:32:26,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:33.1678446Z [2022-11-23 01:32:26,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:33.1678696Z [2022-11-23 01:32:26,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1679083Z [2022-11-23 01:32:26,395] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f2157f97cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:33.1679325Z [2022-11-23 01:32:26,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:33.1679562Z [2022-11-23 01:32:26,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:33.1679823Z [2022-11-23 01:32:26,396] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:33.1680078Z [2022-11-23 01:32:26,399] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:33.1680270Z [2022-11-23 01:32:26,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1680414Z  __compiled_fn_1037 <eval_with_key>.6352 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1680509Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:33.1680601Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:33.1680807Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:33.1680912Z output, output, output, ((add,),), {}
2022-11-23T01:32:33.1680917Z 
2022-11-23T01:32:33.1681247Z [2022-11-23 01:32:26,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1681375Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:33.1681475Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1681570Z               4 BUILD_MAP                0
2022-11-23T01:32:33.1681670Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:33.1681762Z               8 DICT_MERGE               1
2022-11-23T01:32:33.1681850Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:32:33.1681932Z              12 RETURN_VALUE
2022-11-23T01:32:33.1681938Z 
2022-11-23T01:32:33.1682003Z  
2022-11-23T01:32:33.1682323Z [2022-11-23 01:32:26,400] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:32:33.1682442Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_1037)
2022-11-23T01:32:33.1682540Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1682638Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1682723Z               6 BINARY_SUBSCR
2022-11-23T01:32:33.1682812Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:33.1682907Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:33.1683005Z              12 BINARY_SUBSCR
2022-11-23T01:32:33.1683108Z              14 CALL_FUNCTION            2
2022-11-23T01:32:33.1683243Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:33.1683352Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:33.1683452Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:33.1683527Z              22 BINARY_SUBSCR
2022-11-23T01:32:33.1683625Z              24 BUILD_TUPLE              1
2022-11-23T01:32:33.1683705Z              26 RETURN_VALUE
2022-11-23T01:32:33.1683711Z 
2022-11-23T01:32:33.1683775Z  
2022-11-23T01:32:33.1683963Z [2022-11-23 01:32:26,400] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1684038Z  - 
2022-11-23T01:32:33.1684164Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:33.1684226Z             {
2022-11-23T01:32:33.1684371Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:33.1684564Z                 'code': ['___check_type_id(ex, 94768292458112)', 'len(ex) == 2'],
2022-11-23T01:32:33.1684691Z                 'obj_weakref': None
2022-11-23T01:32:33.1684914Z                 'guarded_class': <weakref at 0x7f2158fd77e0; to 'type' at 0x5630f6686e80 (tuple)>
2022-11-23T01:32:33.1684986Z             }
2022-11-23T01:32:33.1685054Z             
2022-11-23T01:32:33.1685124Z  - 
2022-11-23T01:32:33.1685252Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:33.1685321Z             {
2022-11-23T01:32:33.1685470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1685583Z                 'code': None,
2022-11-23T01:32:33.1685792Z                 'obj_weakref': <weakref at 0x7f1fe03596c0; to 'Tensor' at 0x7f2151f1b6f0>
2022-11-23T01:32:33.1686043Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1686107Z             }
2022-11-23T01:32:33.1686175Z             
2022-11-23T01:32:33.1686252Z  - 
2022-11-23T01:32:33.1686378Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:33.1686445Z             {
2022-11-23T01:32:33.1686592Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1686701Z                 'code': None,
2022-11-23T01:32:33.1686906Z                 'obj_weakref': <weakref at 0x7f1f25b45850; to 'Tensor' at 0x7f2151f1b740>
2022-11-23T01:32:33.1687156Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1687254Z             }
2022-11-23T01:32:33.1687323Z             
2022-11-23T01:32:33.1687400Z  - 
2022-11-23T01:32:33.1687536Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:33.1687605Z             {
2022-11-23T01:32:33.1687740Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:33.1687937Z                 'code': ['___check_obj_id(model, 139781086185360)'],
2022-11-23T01:32:33.1688063Z                 'obj_weakref': None
2022-11-23T01:32:33.1688295Z                 'guarded_class': <weakref at 0x7f2158fc43b0; to 'type' at 0x5630f66693c0 (function)>
2022-11-23T01:32:33.1688364Z             }
2022-11-23T01:32:33.1688432Z             
2022-11-23T01:32:33.1688506Z  - 
2022-11-23T01:32:33.1688627Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:33.1688695Z             {
2022-11-23T01:32:33.1688837Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:33.1689058Z                 'code': ['___check_type_id(kwargs, 94768292478688)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:33.1689185Z                 'obj_weakref': None
2022-11-23T01:32:33.1689412Z                 'guarded_class': <weakref at 0x7f2158fba2f0; to 'type' at 0x5630f668bee0 (dict)>
2022-11-23T01:32:33.1689480Z             }
2022-11-23T01:32:33.1689541Z             
2022-11-23T01:32:33.1689810Z [2022-11-23 01:32:26,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1019
2022-11-23T01:32:33.1690063Z [2022-11-23 01:32:26,409] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1690426Z [2022-11-23 01:32:26,414] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/en/cenyvdj5mxhn6keaxqn2s7ylihofd7eqcjglbbc6nrwb4uh4ocrk.py
2022-11-23T01:32:33.1690695Z [2022-11-23 01:32:26,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1019
2022-11-23T01:32:33.1690701Z 
2022-11-23T01:32:33.1690799Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1690876Z import torch
2022-11-23T01:32:33.1690954Z import random
2022-11-23T01:32:33.1691068Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1691195Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1691201Z 
2022-11-23T01:32:33.1691285Z aten = torch.ops.aten
2022-11-23T01:32:33.1691429Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1691528Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1691533Z 
2022-11-23T01:32:33.1691608Z import triton
2022-11-23T01:32:33.1691701Z import triton.language as tl
2022-11-23T01:32:33.1691830Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1691966Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1691972Z 
2022-11-23T01:32:33.1691976Z 
2022-11-23T01:32:33.1692130Z triton_fused_add0 = async_compile.triton('''
2022-11-23T01:32:33.1692205Z import triton
2022-11-23T01:32:33.1692302Z import triton.language as tl
2022-11-23T01:32:33.1692420Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1692522Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1692661Z from torch._inductor.triton_ops.autotune import pointwise
2022-11-23T01:32:33.1692782Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1692794Z 
2022-11-23T01:32:33.1693211Z @pointwise(size_hints=[128], filename=__file__, meta={'signature': {0: '*fp32', 1: '*fp32', 2: '*fp32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 2), equal_to_1=())]})
2022-11-23T01:32:33.1693299Z @triton.jit
2022-11-23T01:32:33.1693444Z def kernel(in_ptr0, in_ptr1, out_ptr0, xnumel, XBLOCK : tl.constexpr):
2022-11-23T01:32:33.1693520Z     xnumel = 100
2022-11-23T01:32:33.1693619Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1693751Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK])
2022-11-23T01:32:33.1693835Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1693900Z     x0 = xindex
2022-11-23T01:32:33.1694032Z     tmp0 = tl.load(in_ptr0 + (x0), xmask)
2022-11-23T01:32:33.1694134Z     tmp1 = tl.load(in_ptr1 + (x0), xmask)
2022-11-23T01:32:33.1694214Z     tmp2 = tmp0 + tmp1
2022-11-23T01:32:33.1694353Z     tl.store(out_ptr0 + (x0 + tl.zeros([XBLOCK], tl.int32)), tmp2, xmask)
2022-11-23T01:32:33.1694465Z ''')
2022-11-23T01:32:33.1694470Z 
2022-11-23T01:32:33.1694475Z 
2022-11-23T01:32:33.1694568Z async_compile.wait(globals())
2022-11-23T01:32:33.1694649Z del async_compile
2022-11-23T01:32:33.1694654Z 
2022-11-23T01:32:33.1694723Z def call(args):
2022-11-23T01:32:33.1694803Z     arg0_1, arg1_1 = args
2022-11-23T01:32:33.1694880Z     args.clear()
2022-11-23T01:32:33.1695081Z     buf0 = empty_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1695173Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1695317Z     triton_fused_add0.run(arg0_1, arg1_1, buf0, 100, grid=grid(100), stream=stream0)
2022-11-23T01:32:33.1695390Z     del arg0_1
2022-11-23T01:32:33.1695456Z     del arg1_1
2022-11-23T01:32:33.1695536Z     return (buf0, )
2022-11-23T01:32:33.1695541Z 
2022-11-23T01:32:33.1695546Z 
2022-11-23T01:32:33.1695625Z if __name__ == "__main__":
2022-11-23T01:32:33.1695744Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1695872Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1696078Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1696280Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1696403Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:33.1696408Z 
2022-11-23T01:32:33.1696473Z ok (0.026s)
2022-11-23T01:32:33.1696629Z   test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.066s)
2022-11-23T01:32:33.1696803Z   test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.066s)
2022-11-23T01:32:33.1697161Z   test_divisibile_by_16_covers_numel_args (__main__.TritonCodeGenTests) ... [2022-11-23 01:32:26,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:33.1697477Z [2022-11-23 01:32:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5459
2022-11-23T01:32:33.1697706Z [2022-11-23 01:32:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:33.1698068Z [2022-11-23 01:32:26,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:33.1698383Z [2022-11-23 01:32:26,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>)]
2022-11-23T01:32:33.1698726Z [2022-11-23 01:32:26,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7f209c394c60>), TensorVariable()]
2022-11-23T01:32:33.1699294Z [2022-11-23 01:32:26,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:33.1699526Z [2022-11-23 01:32:26,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:33.1699776Z [2022-11-23 01:32:26,553] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function noop_backend
2022-11-23T01:32:33.1700024Z [2022-11-23 01:32:26,556] torch._dynamo.output_graph: [INFO] Step 3: done compiler function noop_backend
2022-11-23T01:32:33.1700216Z [2022-11-23 01:32:26,557] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:33.1700360Z  __compiled_fn_1038 <eval_with_key>.6355 opcode, name, target, args, kwargs
2022-11-23T01:32:33.1700448Z placeholder, a, a, (), {}
2022-11-23T01:32:33.1700668Z call_function, sum_1, <built-in method sum of type object at 0x7f209c394c60>, (a,), {}
2022-11-23T01:32:33.1700769Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:33.1700774Z 
2022-11-23T01:32:33.1701165Z [2022-11-23 01:32:26,557] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5458 
2022-11-23T01:32:33.1701270Z 5459           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:33.1701368Z                2 LOAD_METHOD              1 (sum)
2022-11-23T01:32:33.1701503Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1701599Z                6 CALL_METHOD              1
2022-11-23T01:32:33.1701681Z                8 RETURN_VALUE
2022-11-23T01:32:33.1701686Z 
2022-11-23T01:32:33.1701754Z  
2022-11-23T01:32:33.1702080Z [2022-11-23 01:32:26,557] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 5458 
2022-11-23T01:32:33.1702192Z 5458           0 LOAD_GLOBAL              2 (__compiled_fn_1038)
2022-11-23T01:32:33.1702289Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:33.1702387Z                4 CALL_FUNCTION            1
2022-11-23T01:32:33.1702489Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:33.1702571Z                8 RETURN_VALUE
2022-11-23T01:32:33.1702576Z 
2022-11-23T01:32:33.1702642Z  
2022-11-23T01:32:33.1702827Z [2022-11-23 01:32:26,557] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:33.1702908Z  - 
2022-11-23T01:32:33.1703026Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:33.1703095Z             {
2022-11-23T01:32:33.1703243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:33.1703355Z                 'code': None,
2022-11-23T01:32:33.1703569Z                 'obj_weakref': <weakref at 0x7f1f25a04810; to 'Tensor' at 0x7f20726ff4c0>
2022-11-23T01:32:33.1703820Z                 'guarded_class': <weakref at 0x7f207425d260; to 'torch._C._TensorMeta' at 0x5630fb62ef60 (Tensor)>
2022-11-23T01:32:33.1703889Z             }
2022-11-23T01:32:33.1703950Z             
2022-11-23T01:32:33.1704026Z  - 
2022-11-23T01:32:33.1704163Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:33.1704234Z             {
2022-11-23T01:32:33.1704361Z                 'guard_types': None,
2022-11-23T01:32:33.1704473Z                 'code': None,
2022-11-23T01:32:33.1704590Z                 'obj_weakref': None
2022-11-23T01:32:33.1704716Z                 'guarded_class': None
2022-11-23T01:32:33.1704787Z             }
2022-11-23T01:32:33.1704855Z             
2022-11-23T01:32:33.1705105Z [2022-11-23 01:32:26,593] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf0')]
2022-11-23T01:32:33.1705351Z [2022-11-23 01:32:26,595] torch._inductor.codegen.triton: [CODE] schedule: [SchedulerNode(name='buf1')]
2022-11-23T01:32:33.1705715Z [2022-11-23 01:32:26,786] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflnqxoulcl6wa6wy6xf3jwq2fgxqsxehawfzp3y4gbqxpwf6nkr.py
2022-11-23T01:32:33.1705721Z 
2022-11-23T01:32:33.1705823Z from ctypes import c_void_p, c_long
2022-11-23T01:32:33.1705890Z import torch
2022-11-23T01:32:33.1705964Z import random
2022-11-23T01:32:33.1706090Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:33.1706218Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:33.1706223Z 
2022-11-23T01:32:33.1706305Z aten = torch.ops.aten
2022-11-23T01:32:33.1706448Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:33.1706550Z async_compile = AsyncCompile()
2022-11-23T01:32:33.1706555Z 
2022-11-23T01:32:33.1706629Z import triton
2022-11-23T01:32:33.1706715Z import triton.language as tl
2022-11-23T01:32:33.1706844Z from torch._inductor.triton_ops.autotune import grid
2022-11-23T01:32:33.1706988Z from torch._C import _cuda_getCurrentRawStream as get_cuda_stream
2022-11-23T01:32:33.1706994Z 
2022-11-23T01:32:33.1706998Z 
2022-11-23T01:32:33.1707155Z triton_fused_sum_10 = async_compile.triton('''
2022-11-23T01:32:33.1707229Z import triton
2022-11-23T01:32:33.1707322Z import triton.language as tl
2022-11-23T01:32:33.1707441Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1707582Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1707720Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:33.1707849Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1707855Z 
2022-11-23T01:32:33.1707946Z @reduction(size_hints=[8, 8192],
2022-11-23T01:32:33.1708085Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:33.1708170Z               filename=__file__,
2022-11-23T01:32:33.1708501Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1, 3), equal_to_1=())]})
2022-11-23T01:32:33.1708574Z @triton.jit
2022-11-23T01:32:33.1708740Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:33.1708814Z     xnumel = 8
2022-11-23T01:32:33.1708889Z     rnumel = 8192
2022-11-23T01:32:33.1708991Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1709132Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1709216Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1709336Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:33.1709402Z     x0 = xindex
2022-11-23T01:32:33.1709525Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:33.1709634Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:33.1709725Z         rindex = roffset + rbase
2022-11-23T01:32:33.1709811Z         rmask = rindex < rnumel
2022-11-23T01:32:33.1709883Z         r1 = rindex
2022-11-23T01:32:33.1710109Z         tmp0 = tl.load(in_ptr0 + (r1 + (8192*x0)), xmask & rmask, eviction_policy='evict_last')
2022-11-23T01:32:33.1710226Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:33.1710477Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:33.1710591Z     tl.store(out_ptr0 + x0, tmp1, xmask)
2022-11-23T01:32:33.1710695Z ''')
2022-11-23T01:32:33.1710701Z 
2022-11-23T01:32:33.1710706Z 
2022-11-23T01:32:33.1710889Z triton_fused_sum_11 = async_compile.triton('''
2022-11-23T01:32:33.1710979Z import triton
2022-11-23T01:32:33.1711430Z import triton.language as tl
2022-11-23T01:32:33.1711556Z from torch._inductor.ir import ReductionHint
2022-11-23T01:32:33.1711654Z from torch._inductor.ir import TileHint
2022-11-23T01:32:33.1711791Z from torch._inductor.triton_ops.autotune import reduction
2022-11-23T01:32:33.1711918Z from torch._inductor.utils import instance_descriptor
2022-11-23T01:32:33.1711923Z 
2022-11-23T01:32:33.1712014Z @reduction(size_hints=[1, 8],
2022-11-23T01:32:33.1712130Z               reduction_hint=ReductionHint.INNER,
2022-11-23T01:32:33.1712217Z               filename=__file__,
2022-11-23T01:32:33.1712542Z               meta={'signature': {0: '*fp32', 1: '*fp32', 2: 'i32', 3: 'i32'}, 'device': 0, 'constants': {}, 'configs': [instance_descriptor(divisible_by_16=(0, 1), equal_to_1=())]})
2022-11-23T01:32:33.1712615Z @triton.jit
2022-11-23T01:32:33.1712782Z def kernel(in_ptr0, out_ptr0, xnumel, rnumel, XBLOCK : tl.constexpr, RBLOCK : tl.constexpr):
2022-11-23T01:32:33.1712856Z     xnumel = 1
2022-11-23T01:32:33.1712926Z     rnumel = 8
2022-11-23T01:32:33.1713026Z     xoffset = tl.program_id(0) * XBLOCK
2022-11-23T01:32:33.1713164Z     xindex = xoffset + tl.reshape(tl.arange(0, XBLOCK), [XBLOCK, 1])
2022-11-23T01:32:33.1713250Z     xmask = xindex < xnumel
2022-11-23T01:32:33.1713370Z     rbase = tl.reshape(tl.arange(0, RBLOCK), [1, RBLOCK])
2022-11-23T01:32:33.1713484Z     _tmp1 = tl.zeros([XBLOCK, RBLOCK], tl.float32) + 0
2022-11-23T01:32:33.1713591Z     for roffset in range(0, rnumel, RBLOCK):
2022-11-23T01:32:33.1713679Z         rindex = roffset + rbase
2022-11-23T01:32:33.1713766Z         rmask = rindex < rnumel
2022-11-23T01:32:33.1713839Z         r0 = rindex
2022-11-23T01:32:33.1714036Z         tmp0 = tl.load(in_ptr0 + (r0), rmask, eviction_policy='evict_last')
2022-11-23T01:32:33.1714158Z         _tmp1 = tl.where(xmask & rmask, _tmp1 + tmp0, _tmp1)
2022-11-23T01:32:33.1714300Z     tmp1 = tl.reshape(tl.sum(_tmp1, 1), [XBLOCK, 1])
2022-11-23T01:32:33.1714437Z     tl.store(out_ptr0 + 0 + tl.zeros([XBLOCK, 1], tl.int32), tmp1, None)
2022-11-23T01:32:33.1714524Z ''')
2022-11-23T01:32:33.1714529Z 
2022-11-23T01:32:33.1714534Z 
2022-11-23T01:32:33.1714628Z async_compile.wait(globals())
2022-11-23T01:32:33.1714733Z del async_compile
2022-11-23T01:32:33.1714738Z 
2022-11-23T01:32:33.1714814Z def call(args):
2022-11-23T01:32:33.1714891Z     arg0_1, = args
2022-11-23T01:32:33.1714961Z     args.clear()
2022-11-23T01:32:33.1715158Z     buf0 = empty_strided((8, ), (1, ), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1715248Z     stream0 = get_cuda_stream(0)
2022-11-23T01:32:33.1715391Z     triton_fused_sum_10.run(arg0_1, buf0, 8, 8192, grid=grid(8), stream=stream0)
2022-11-23T01:32:33.1715463Z     del arg0_1
2022-11-23T01:32:33.1715650Z     buf1 = empty_strided((), (), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1715792Z     triton_fused_sum_11.run(buf0, buf1, 1, 8, grid=grid(1), stream=stream0)
2022-11-23T01:32:33.1715868Z     return (buf1, )
2022-11-23T01:32:33.1715874Z 
2022-11-23T01:32:33.1715878Z 
2022-11-23T01:32:33.1715953Z if __name__ == "__main__":
2022-11-23T01:32:33.1716071Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:33.1716203Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:33.1716411Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cuda', dtype=torch.float32)
2022-11-23T01:32:33.1716525Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:33.1716530Z 
2022-11-23T01:32:33.1716601Z ok (0.238s)
2022-11-23T01:32:33.1716606Z 
2022-11-23T01:32:33.1716805Z ----------------------------------------------------------------------
2022-11-23T01:32:33.1716889Z Ran 686 tests in 668.151s
2022-11-23T01:32:33.1716895Z 
2022-11-23T01:32:33.1716964Z OK (skipped=27)
2022-11-23T01:32:33.1716975Z 
2022-11-23T01:32:33.1717058Z Generating XML reports...
2022-11-23T01:32:33.1717369Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012118.xml
2022-11-23T01:32:33.1717658Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012118.xml
2022-11-23T01:32:33.1717966Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CudaReproTests-20221123012118.xml
2022-11-23T01:32:33.1718261Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CudaTests-20221123012118.xml
2022-11-23T01:32:33.1718585Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012118.xml
2022-11-23T01:32:33.1718904Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCudaTest-20221123012118.xml
2022-11-23T01:32:33.1719250Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012118.xml
2022-11-23T01:32:33.1719572Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TritonCodeGenTests-20221123012118.xml
2022-11-23T01:32:33.1719578Z 
2022-11-23T01:32:33.1720026Z ##[endgroup]
2022-11-23T01:32:33.1720364Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_ucbqo09d)
2022-11-23T01:32:33.1720373Z 
2022-11-23T01:32:33.1720499Z Ignoring disabled issues:  []
2022-11-23T01:32:33.1720674Z Running test_mkldnn_verbose ... [2022-11-23 01:32:31.605580]
2022-11-23T01:32:33.1721011Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:31.606009]
2022-11-23T01:32:37.1974634Z 
2022-11-23T01:32:37.1975393Z Expand the folded group to see the log file of test_mkldnn_verbose
2022-11-23T01:32:37.1976308Z ##[group]PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_40xpis_m)
2022-11-23T01:32:37.1976611Z 
2022-11-23T01:32:37.1977026Z Running tests...
2022-11-23T01:32:37.1977630Z ----------------------------------------------------------------------
2022-11-23T01:32:37.1978094Z Test results will be stored in test-reports/python-unittest/test_mkldnn_verbose
2022-11-23T01:32:37.1978435Z   test_verbose_off (__main__.TestMKLDNNVerbose) ... ok (2.462s)
2022-11-23T01:32:37.1978988Z   test_verbose_on (__main__.TestMKLDNNVerbose) ... ok (1.373s)
2022-11-23T01:32:37.1979153Z 
2022-11-23T01:32:37.1979358Z ----------------------------------------------------------------------
2022-11-23T01:32:37.1979609Z Ran 2 tests in 3.835s
2022-11-23T01:32:37.1979730Z 
2022-11-23T01:32:37.1979798Z OK
2022-11-23T01:32:37.1979895Z 
2022-11-23T01:32:37.1979989Z Generating XML reports...
2022-11-23T01:32:37.1980418Z Generated XML report: test-reports/python-unittest/test_mkldnn_verbose/TEST-TestMKLDNNVerbose-20221123013232.xml
2022-11-23T01:32:37.1980661Z 
2022-11-23T01:32:37.1980900Z ##[endgroup]
2022-11-23T01:32:37.1981305Z FINISHED PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_40xpis_m)
2022-11-23T01:32:37.1981533Z 
2022-11-23T01:32:39.1212773Z Ignoring disabled issues:  []
2022-11-23T01:32:39.1453337Z Running test_namedtensor ... [2022-11-23 01:32:39.144695]
2022-11-23T01:32:39.1455112Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:39.145022]
2022-11-23T01:32:43.0021668Z 
2022-11-23T01:32:43.0022258Z Expand the folded group to see the log file of test_namedtensor
2022-11-23T01:32:43.0023081Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_anbi7uuz)
2022-11-23T01:32:43.0023344Z 
2022-11-23T01:32:43.0023430Z Running tests...
2022-11-23T01:32:43.0023876Z ----------------------------------------------------------------------
2022-11-23T01:32:43.0024281Z Test results will be stored in test-reports/python-unittest/test_namedtensor
2022-11-23T01:32:43.0024662Z   test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0024989Z   test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0025278Z   test_addmm (__main__.TestNamedTensor) ... ok (0.012s)
2022-11-23T01:32:43.0025559Z   test_addmv (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0025830Z   test_align_as (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0026156Z   test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s)
2022-11-23T01:32:43.0026520Z   test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.003s)
2022-11-23T01:32:43.0026843Z   test_align_to (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:43.0027127Z   test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.010s)
2022-11-23T01:32:43.0027420Z   test_any_all (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0027708Z   test_as_strided (__main__.TestNamedTensor) ... ok (0.000s)
2022-11-23T01:32:43.0027992Z   test_as_strided_cuda (__main__.TestNamedTensor) ... ok (0.000s)
2022-11-23T01:32:43.0028298Z   test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0028607Z   test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0028917Z   test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0029213Z   test_bernoulli (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0029516Z   test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.017s)
2022-11-23T01:32:43.0029820Z   test_binary_ops (__main__.TestNamedTensor) ... ok (0.332s)
2022-11-23T01:32:43.0030104Z   test_bitwise_not (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0030488Z   test_bmm (__main__.TestNamedTensor) ... ok (0.036s)
2022-11-23T01:32:43.0030758Z   test_cat (__main__.TestNamedTensor) ... ok (0.014s)
2022-11-23T01:32:43.0031393Z   test_cdist (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0031682Z   test_comparison_ops (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:43.0031980Z   test_copy_transpose (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0032276Z   test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0032621Z   test_detach (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0032899Z   test_diagonal (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0033174Z   test_dot (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0033441Z   test_equal (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0033706Z   test_expand (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0033998Z   test_factory_coverage (__main__.TestNamedTensor) ... ok (0.006s)
2022-11-23T01:32:43.0034307Z   test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.035s)
2022-11-23T01:32:43.0034596Z   test_flatten (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T01:32:43.0034882Z   test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:43.0035177Z   test_has_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0035501Z   test_index_fill (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0036250Z   test_info_smoke (__main__.TestNamedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:32:43.0036741Z   warnings.warn(message, UserWarning)
2022-11-23T01:32:43.0036961Z ok (0.001s)
2022-11-23T01:32:43.0037207Z   test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0037490Z   test_logical_not (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0037776Z   test_logical_ops (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0038068Z   test_masked_fill (__main__.TestNamedTensor) ... ok (0.014s)
2022-11-23T01:32:43.0038349Z   test_masked_select (__main__.TestNamedTensor) ... ok (0.006s)
2022-11-23T01:32:43.0038635Z   test_matmul (__main__.TestNamedTensor) ... ok (0.038s)
2022-11-23T01:32:43.0038929Z   test_max_pooling (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T01:32:43.0039239Z   test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0039542Z   test_mm (__main__.TestNamedTensor) ... ok (0.011s)
2022-11-23T01:32:43.0039812Z   test_mv (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0040104Z   test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.048s)
2022-11-23T01:32:43.0040410Z   test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:43.0040732Z   test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0041053Z   test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0041349Z   test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0041656Z   test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0041968Z   test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0042274Z   test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0042579Z   test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.020s)
2022-11-23T01:32:43.0042875Z   test_pow_special (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0043166Z   test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0043449Z   test_reduction_fns (__main__.TestNamedTensor) ... ok (0.196s)
2022-11-23T01:32:43.0043737Z   test_refine_names (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:43.0044021Z   test_rename (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:43.0044325Z   test_rename_ (__main__.TestNamedTensor) ... ok (0.006s)
2022-11-23T01:32:43.0044613Z   test_rename_globber (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:43.0044913Z   test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0045202Z   test_repr (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0045501Z   test_resize (__main__.TestNamedTensor) ... ok (0.011s)
2022-11-23T01:32:43.0045774Z   test_select (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:43.0046055Z   test_select_cuda (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:43.0046346Z   test_set_names_property (__main__.TestNamedTensor) ... ok (0.005s)
2022-11-23T01:32:43.0046632Z   test_size (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:43.0046932Z   test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:43.0047230Z   test_squeeze (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0047506Z   test_stride (__main__.TestNamedTensor) ... ok (0.006s)
2022-11-23T01:32:43.0047795Z   test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:43.0048358Z   test_tensor_from_named_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:43.0048843Z   tensor = torch.tensor(x)
2022-11-23T01:32:43.0049301Z /var/lib/jenkins/workspace/test/test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:43.0049749Z   tensor = torch.tensor(x, names=None)
2022-11-23T01:32:43.0050225Z /var/lib/jenkins/workspace/test/test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:43.0050718Z   tensor = torch.tensor(x, names=('N', 'C'))
2022-11-23T01:32:43.0050938Z ok (0.003s)
2022-11-23T01:32:43.0051188Z   test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0051737Z   test_tensor_from_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:43.0052221Z   tensor = torch.tensor(x, names=names)
2022-11-23T01:32:43.0052438Z ok (0.001s)
2022-11-23T01:32:43.0052690Z   test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0053001Z   test_transpose_variants (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0053299Z   test_trivial (__main__.TestNamedTensor) ... ok (0.000s)
2022-11-23T01:32:43.0053607Z   test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.037s)
2022-11-23T01:32:43.0053914Z   test_unflatten (__main__.TestNamedTensor) ... ok (0.015s)
2022-11-23T01:32:43.0054212Z   test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.010s)
2022-11-23T01:32:43.0054569Z   test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0054952Z   test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0055314Z   test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:43.0055510Z 
2022-11-23T01:32:43.0055721Z ----------------------------------------------------------------------
2022-11-23T01:32:43.0055985Z Ran 86 tests in 1.020s
2022-11-23T01:32:43.0056110Z 
2022-11-23T01:32:43.0056191Z OK (skipped=2)
2022-11-23T01:32:43.0056301Z 
2022-11-23T01:32:43.0056430Z Generating XML reports...
2022-11-23T01:32:43.0056859Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123013241.xml
2022-11-23T01:32:43.0057105Z 
2022-11-23T01:32:43.0057351Z ##[endgroup]
2022-11-23T01:32:43.0057752Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_anbi7uuz)
2022-11-23T01:32:43.0058018Z 
2022-11-23T01:32:44.9206675Z Ignoring disabled issues:  []
2022-11-23T01:32:44.9444711Z Running test_nestedtensor ... [2022-11-23 01:32:44.943965]
2022-11-23T01:32:44.9445775Z Executing ['/opt/conda/bin/python', '-bb', 'test_nestedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:44.944288]
2022-11-23T01:32:50.3999764Z 
2022-11-23T01:32:50.4000737Z Expand the folded group to see the log file of test_nestedtensor
2022-11-23T01:32:50.4001772Z ##[group]PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_zcmyfyts)
2022-11-23T01:32:50.4002134Z 
2022-11-23T01:32:50.4002241Z Running tests...
2022-11-23T01:32:50.4002848Z ----------------------------------------------------------------------
2022-11-23T01:32:50.4003420Z Test results will be stored in test-reports/python-unittest/test_nestedtensor
2022-11-23T01:32:50.4004309Z   test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... /var/lib/jenkins/workspace/test/test_nestedtensor.py:113: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:32:50.4005191Z   nested_tensor = torch.nested.nested_tensor(data, dtype=torch.int64)
2022-11-23T01:32:50.4005543Z ok (0.003s)
2022-11-23T01:32:50.4005925Z   test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4006466Z   test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4006997Z   test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4007502Z   test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4008055Z   test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4008570Z   test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4009065Z   test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4009569Z   test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4010056Z   test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4010561Z   test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4011076Z   test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4011544Z   test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4012022Z   test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4012509Z   test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4012992Z   test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4013483Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4014307Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4014879Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4015404Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4015997Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4016524Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4017035Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4017535Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4017972Z   test_copy_ (__main__.TestNestedTensor) ... ok (0.008s)
2022-11-23T01:32:50.4018403Z   test_default_nested_tensor (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4019064Z   test_dim (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4019451Z   test_fill_ (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:50.4019860Z   test_is_contiguous (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4020296Z   test_nested_namespace (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4020706Z   test_nested_tensor (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4021140Z   test_nested_tensor_matching_dim (__main__.TestNestedTensor) ... ok (0.005s)
2022-11-23T01:32:50.4021545Z   test_numel (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4021928Z   test_ones_like (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4022309Z   test_repr_string (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:50.4022683Z   test_size (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4023071Z   test_size_dim (__main__.TestNestedTensor) ... ok (0.005s)
2022-11-23T01:32:50.4023437Z   test_stride (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:50.4023799Z   test_to (__main__.TestNestedTensor) ... ok (0.008s)
2022-11-23T01:32:50.4024220Z   test_to_padded_tensor_on_empty_tensor (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4024656Z   test_unbind_0 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4025045Z   test_unbind_1 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4025446Z   test_unbind_3 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4025805Z   test_unbind_4 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:50.4026162Z   test_unbind_dim (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:50.4026695Z   test_as_nested_tensor_propagates_gradients_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.003s)
2022-11-23T01:32:50.4027268Z   test_backward_for_add_op_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4027767Z   test_dropout_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4028306Z   test_indexing_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4028810Z   test_nested_tensor_bmm_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.648s)
2022-11-23T01:32:50.4030142Z   test_nested_tensor_bmm_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:300: UserWarning: nested_from_padded CUDA kernels only support fp32/fp16; falling back to slower generic kernel (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/nested/cuda/NestedTensorTransformerFunctions.cpp:54.)
2022-11-23T01:32:50.4031198Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T01:32:50.4031578Z ok (0.077s)
2022-11-23T01:32:50.4032063Z   test_nested_tensor_from_list_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.006s)
2022-11-23T01:32:50.4032605Z   test_nested_tensor_from_mask_and_to_padded_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4033123Z   test_nested_tensor_from_padded_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.004s)
2022-11-23T01:32:50.4033692Z   test_nested_tensor_from_padded_fused_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.004s)
2022-11-23T01:32:50.4034218Z   test_nested_tensor_generates_leaf_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4034713Z   test_nested_tensor_linear_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4035198Z   test_nested_tensor_linear_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.014s)
2022-11-23T01:32:50.4035701Z   test_nested_tensor_matmul_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.004s)
2022-11-23T01:32:50.4036259Z   test_nested_tensor_matmul_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.141s)
2022-11-23T01:32:50.4036811Z   test_nested_tensor_reshape_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4038056Z   test_nested_tensor_reshape_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:32:50.4038806Z   warnings.warn(
2022-11-23T01:32:50.4039670Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:32:50.4040290Z   warnings.warn(
2022-11-23T01:32:50.4040532Z ok (0.038s)
2022-11-23T01:32:50.4040914Z   test_nested_tensor_softmax_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.006s)
2022-11-23T01:32:50.4041422Z   test_nested_tensor_squeeze_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4041939Z   test_nested_tensor_squeeze_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.043s)
2022-11-23T01:32:50.4042480Z   test_nested_tensor_to_padded_tensor_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.003s)
2022-11-23T01:32:50.4043022Z   test_nested_tensor_transpose_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4043567Z   test_nested_tensor_transpose_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.029s)
2022-11-23T01:32:50.4044100Z   test_nested_tensor_unsqueeze_backward_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4044647Z   test_nested_tensor_unsqueeze_gradcheck_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.042s)
2022-11-23T01:32:50.4045174Z   test_set_requires_grad_from_list_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4045691Z   test_set_requires_grad_from_mask_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4046233Z   test_to_buffer_series_ops_grad_with_broadcast_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4046769Z   test_unbind_flow_through_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4047298Z   test_values_grad_with_broadcast_cuda (__main__.TestNestedTensorAutogradCUDA) ... ok (0.004s)
2022-11-23T01:32:50.4047800Z   test_activations_gelu__cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:32:50.4048287Z   test_activations_gelu_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:32:50.4048775Z   test_activations_neg_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:32:50.4049358Z   test_activations_relu__cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4049847Z   test_activations_relu_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:32:50.4050354Z   test_activations_tanh__cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4050928Z   test_activations_tanh_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:32:50.4051460Z   test_bmm_cpu_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:32:50.4052011Z   test_bmm_cpu_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:32:50.4052535Z   test_bmm_cuda_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.055s)
2022-11-23T01:32:50.4053040Z   test_bmm_cuda_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.054s)
2022-11-23T01:32:50.4053524Z   test_bmm_cuda_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.053s)
2022-11-23T01:32:50.4054032Z   test_bmm_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4054557Z   test_bmm_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4055072Z   test_clone_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:32:50.4055565Z   test_clone_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:32:50.4056085Z   test_contiguous_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4056618Z   test_contiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4057132Z   test_detach_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4057640Z   test_detach_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4058154Z   test_detach_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4058654Z   test_device_checks_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:32:50.4059301Z   test_dropout_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:32:50.4059833Z   test_dropout_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:32:50.4060354Z   test_dropout_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4060898Z   test_dropout_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4061401Z   test_embedding_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:32:50.4061911Z   test_empty_like_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4062420Z   test_empty_like_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4062907Z   test_empty_like_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4063421Z   test_layer_norm_breaking_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:32:50.4063946Z   test_layer_norm_breaking_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:32:50.4064483Z   test_layer_norm_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.040s)
2022-11-23T01:32:50.4064970Z   test_layer_norm_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.040s)
2022-11-23T01:32:50.4065461Z   test_linear_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T01:32:50.4065961Z   test_linear_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T01:32:50.4066477Z   test_linear_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4067109Z   test_linear_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4068426Z   test_matmul_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82299 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:32:50.4070089Z   test_matmul_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82588 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:32:50.4071152Z   test_matmul_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4071681Z   test_matmul_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4072208Z   test_matmul_with_bmm_path_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4072745Z   test_matmul_with_bmm_path_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4073275Z   test_nested_tensor_add_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4073787Z   test_nested_tensor_add_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4074347Z   test_nested_tensor_add_in_place_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4074903Z   test_nested_tensor_add_in_place_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4075525Z   test_nested_tensor_chunk_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:32:50.4076153Z   test_nested_tensor_chunk_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:32:50.4076794Z   test_nested_tensor_chunk_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:32:50.4077493Z   test_nested_tensor_dense_elementwise_embedding_dim_128_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4078173Z   test_nested_tensor_dense_elementwise_embedding_dim_128_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4078770Z   test_nested_tensor_dense_elementwise_embedding_dim_256_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4079350Z   test_nested_tensor_dense_elementwise_embedding_dim_256_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4079935Z   test_nested_tensor_dense_elementwise_embedding_dim_384_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4080539Z   test_nested_tensor_dense_elementwise_embedding_dim_384_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4081154Z   test_nested_tensor_dense_elementwise_embedding_dim_8_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4081757Z   test_nested_tensor_dense_elementwise_embedding_dim_8_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4082328Z   test_nested_tensor_div_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:32:50.4082826Z   test_nested_tensor_div_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:32:50.4083353Z   test_nested_tensor_indexing_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.052s)
2022-11-23T01:32:50.4083890Z   test_nested_tensor_indexing_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.051s)
2022-11-23T01:32:50.4084462Z   test_nested_tensor_indexing_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.051s)
2022-11-23T01:32:50.4084955Z   test_nested_tensor_indexing_noncontiguous_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4085491Z   test_nested_tensor_indexing_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4086066Z   test_nested_tensor_indexing_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4086556Z   test_nested_tensor_mul_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:32:50.4087001Z   test_nested_tensor_mul_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:32:50.4087502Z   test_nested_tensor_mul_in_place_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:32:50.4088011Z   test_nested_tensor_mul_in_place_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:32:50.4088525Z   test_nested_tensor_sum_dim_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:32:50.4089022Z   test_reshape_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T01:32:50.4089493Z   test_reshape_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4089953Z   test_reshape_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:32:50.4090438Z   test_scaled_dot_product_attention_input_dim_3_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:32:50.4090953Z   test_scaled_dot_product_attention_input_dim_4_cuda (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:32:50.4091442Z   test_softmax_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.033s)
2022-11-23T01:32:50.4091895Z   test_softmax_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.033s)
2022-11-23T01:32:50.4092360Z   test_softmax_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4092861Z   test_softmax_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4093354Z   test_squeeze_unsqueeze_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T01:32:50.4093824Z   test_squeeze_unsqueeze_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T01:32:50.4094310Z   test_squeeze_unsqueeze_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T01:32:50.4094784Z   test_to_padded_tensor_dim2_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4095286Z   test_to_padded_tensor_dim2_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4095773Z   test_to_padded_tensor_dim2_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4096277Z   test_to_padded_tensor_dim3_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4096769Z   test_to_padded_tensor_dim3_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4097257Z   test_to_padded_tensor_dim3_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4097759Z   test_to_padded_tensor_dim4_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4098284Z   test_to_padded_tensor_dim4_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4098784Z   test_to_padded_tensor_dim4_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4099550Z   test_to_padded_tensor_noncontiguous_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4100174Z   test_to_padded_tensor_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4100700Z   test_to_padded_tensor_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:32:50.4101215Z   test_to_padded_tensor_output_size_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4101764Z   test_to_padded_tensor_output_size_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4102275Z   test_to_padded_tensor_simple_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4102777Z   test_to_padded_tensor_simple_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4103297Z   test_to_then_from_padded_tensor_no_transform0213_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4103796Z   test_transpose_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T01:32:50.4104276Z   test_transpose_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.021s)
2022-11-23T01:32:50.4104739Z   test_transpose_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.021s)
2022-11-23T01:32:50.4105246Z   test_transpose_inference_mode_interaction_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4105793Z   test_transpose_inference_mode_interaction_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4106332Z   test_transpose_inference_mode_interaction_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4106855Z   test_unbind_noncontiguous_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4107346Z   test_unbind_noncontiguous_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4107853Z   test_unbind_noncontiguous_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4108336Z   test_view_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.033s)
2022-11-23T01:32:50.4108791Z   test_view_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.033s)
2022-11-23T01:32:50.4109219Z   test_view_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.033s)
2022-11-23T01:32:50.4109723Z   test_view_inference_mode_interaction_cuda_float16 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4110259Z   test_view_inference_mode_interaction_cuda_float32 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4110872Z   test_view_inference_mode_interaction_cuda_float64 (__main__.TestNestedTensorDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:32:50.4111153Z 
2022-11-23T01:32:50.4111477Z ----------------------------------------------------------------------
2022-11-23T01:32:50.4111824Z Ran 191 tests in 2.524s
2022-11-23T01:32:50.4111988Z 
2022-11-23T01:32:50.4112096Z OK (skipped=5)
2022-11-23T01:32:50.4112242Z 
2022-11-23T01:32:50.4112356Z Generating XML reports...
2022-11-23T01:32:50.4112914Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221123013247.xml
2022-11-23T01:32:50.4113650Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorAutogradCUDA-20221123013247.xml
2022-11-23T01:32:50.4114427Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorDeviceTypeCUDA-20221123013247.xml
2022-11-23T01:32:50.4114773Z 
2022-11-23T01:32:50.4115203Z ##[endgroup]
2022-11-23T01:32:50.4115724Z FINISHED PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_zcmyfyts)
2022-11-23T01:32:50.4116019Z 
2022-11-23T01:32:52.3652241Z Ignoring disabled issues:  []
2022-11-23T01:32:52.3891199Z Running test_nvfuser_dynamo ... [2022-11-23 01:32:52.388532]
2022-11-23T01:32:52.3892854Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_dynamo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:52.388865]
2022-11-23T01:32:57.4660819Z 
2022-11-23T01:32:57.4661221Z Expand the folded group to see the log file of test_nvfuser_dynamo
2022-11-23T01:32:57.4670563Z ##[group]PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_o_pnhkrz)
2022-11-23T01:32:57.4671447Z 
2022-11-23T01:32:57.4671564Z Running tests...
2022-11-23T01:32:57.4672084Z ----------------------------------------------------------------------
2022-11-23T01:32:57.4672487Z Test results will be stored in test-reports/python-unittest/test_nvfuser_dynamo
2022-11-23T01:32:57.4672811Z   test_basic (__main__.TestNvFuserDynamo) ... ok (1.421s)
2022-11-23T01:32:57.4673131Z   test_batch_norm_implicit_dtype_promotion (__main__.TestNvFuserDynamo) ... ok (1.284s)
2022-11-23T01:32:57.4673455Z   test_dtype_correctness (__main__.TestNvFuserDynamo) ... ok (0.258s)
2022-11-23T01:32:57.4674375Z   test_min_cut (__main__.TestNvFuserDynamo) ... /opt/conda/lib/python3.10/site-packages/functorch/_src/aot_autograd.py:350: UserWarning: Your compiler for AOTAutograd is returning a a function that doesn't take boxed arguments. Please wrap it with functorch.compile.make_boxed_func or handle the boxed arguments yourself. See https://github.com/pytorch/pytorch/pull/83137#issuecomment-1211320670 for rationale.
2022-11-23T01:32:57.4674953Z   warnings.warn(
2022-11-23T01:32:57.4675716Z /opt/conda/lib/python3.10/site-packages/functorch/_src/aot_autograd.py:350: UserWarning: Your compiler for AOTAutograd is returning a a function that doesn't take boxed arguments. Please wrap it with functorch.compile.make_boxed_func or handle the boxed arguments yourself. See https://github.com/pytorch/pytorch/pull/83137#issuecomment-1211320670 for rationale.
2022-11-23T01:32:57.4676246Z   warnings.warn(
2022-11-23T01:32:57.4676430Z ok (0.074s)
2022-11-23T01:32:57.4676543Z 
2022-11-23T01:32:57.4676748Z ----------------------------------------------------------------------
2022-11-23T01:32:57.4677009Z Ran 4 tests in 3.038s
2022-11-23T01:32:57.4677137Z 
2022-11-23T01:32:57.4677200Z OK
2022-11-23T01:32:57.4677301Z 
2022-11-23T01:32:57.4677393Z Generating XML reports...
2022-11-23T01:32:57.4677826Z Generated XML report: test-reports/python-unittest/test_nvfuser_dynamo/TEST-TestNvFuserDynamo-20221123013253.xml
2022-11-23T01:32:57.4678079Z 
2022-11-23T01:32:57.4678345Z ##[endgroup]
2022-11-23T01:32:57.4678753Z FINISHED PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_o_pnhkrz)
2022-11-23T01:32:57.4678986Z 
2022-11-23T01:32:59.3648228Z Ignoring disabled issues:  []
2022-11-23T01:32:59.3891451Z Running test_proxy_tensor ... [2022-11-23 01:32:59.388528]
2022-11-23T01:32:59.3892341Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:59.388879]
2022-11-23T01:33:07.0757043Z 
2022-11-23T01:33:07.0757547Z Expand the folded group to see the log file of test_proxy_tensor
2022-11-23T01:33:07.0758485Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_v1127r3e)
2022-11-23T01:33:07.0759613Z /var/lib/jenkins/workspace/test/test_proxy_tensor.py:125: UserWarning: Couldn't import torchvision. Some of our tests use it, try to install it with commands from pytorch.org, post-fixed with `--no-deps` to avoid overwriting the pytorch installation
2022-11-23T01:33:07.0760415Z   warnings.warn("Couldn't import torchvision. Some of our tests use it, try "
2022-11-23T01:33:07.0760678Z 
2022-11-23T01:33:07.0760787Z Running tests...
2022-11-23T01:33:07.0761259Z ----------------------------------------------------------------------
2022-11-23T01:33:07.0761842Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor
2022-11-23T01:33:07.0762396Z   test_alias (__main__.TestFakeProxyTensor) ... ok (0.005s)
2022-11-23T01:33:07.0762821Z   test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.004s)
2022-11-23T01:33:07.0763508Z   test_meta (__main__.TestFakeProxyTensor) ... ok (0.005s)
2022-11-23T01:33:07.0763926Z   test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.005s)
2022-11-23T01:33:07.0764381Z   test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0764858Z   test_amp_cache (__main__.TestGenericProxyTensorFake) ... ok (1.647s)
2022-11-23T01:33:07.0765424Z   test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0765956Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:07.0766458Z   test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.003s)
2022-11-23T01:33:07.0766937Z   test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0767393Z   test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0767908Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:33:07.0768430Z   test_has_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.003s)
2022-11-23T01:33:07.0768906Z   test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0769415Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.042s)
2022-11-23T01:33:07.0769935Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:33:07.0770440Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.026s)
2022-11-23T01:33:07.0770941Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.028s)
2022-11-23T01:33:07.0771433Z   test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:07.0771915Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:07.0772398Z   test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.003s)
2022-11-23T01:33:07.0772889Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0773402Z   test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.012s)
2022-11-23T01:33:07.0773912Z   test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2022-11-23T01:33:07.0774348Z   test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.021s)
2022-11-23T01:33:07.0774879Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0775480Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... skip: test requires torchvision (0.001s)
2022-11-23T01:33:07.0775999Z   test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.003s)
2022-11-23T01:33:07.0776447Z   test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:33:07.0776914Z   test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0777387Z   test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:33:07.0777848Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0778316Z   test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:07.0778757Z   test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.002s)
2022-11-23T01:33:07.0779419Z   test_amp_cache (__main__.TestGenericProxyTensorReal) ... ok (0.011s)
2022-11-23T01:33:07.0779868Z   test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0780349Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:07.0780840Z   test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0781300Z   test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0781805Z   test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0782406Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:07.0782881Z   test_has_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0783398Z   test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0783954Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.041s)
2022-11-23T01:33:07.0784463Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:33:07.0784944Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.019s)
2022-11-23T01:33:07.0785446Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.023s)
2022-11-23T01:33:07.0785938Z   test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0786415Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0786902Z   test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0787391Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0787881Z   test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2022-11-23T01:33:07.0788329Z   test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0788786Z   test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.019s)
2022-11-23T01:33:07.0789316Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0789883Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... skip: test requires torchvision (0.001s)
2022-11-23T01:33:07.0790524Z   test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:07.0790992Z   test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.008s)
2022-11-23T01:33:07.0791474Z   test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0791922Z   test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.006s)
2022-11-23T01:33:07.0792403Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0792864Z   test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:07.0793317Z   test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.041s)
2022-11-23T01:33:07.0793785Z   test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2022-11-23T01:33:07.0794255Z   test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2022-11-23T01:33:07.0794774Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.006s)
2022-11-23T01:33:07.0795278Z   test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.003s)
2022-11-23T01:33:07.0795775Z   test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:07.0796282Z   test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:07.0796778Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.026s)
2022-11-23T01:33:07.0797284Z   test_has_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.003s)
2022-11-23T01:33:07.0797764Z   test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:07.0798282Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.041s)
2022-11-23T01:33:07.0798782Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.007s)
2022-11-23T01:33:07.0799297Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.134s)
2022-11-23T01:33:07.0799833Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.125s)
2022-11-23T01:33:07.0800430Z   test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.013s)
2022-11-23T01:33:07.0800944Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:07.0801422Z   test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s)
2022-11-23T01:33:07.0801987Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:07.0802489Z   test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s)
2022-11-23T01:33:07.0802979Z   test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.021s)
2022-11-23T01:33:07.0803491Z   test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.061s)
2022-11-23T01:33:07.0804043Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:07.0804637Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... skip: test requires torchvision (0.001s)
2022-11-23T01:33:07.0805195Z   test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:07.0805668Z   test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s)
2022-11-23T01:33:07.0806141Z   test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:07.0806664Z   test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.006s)
2022-11-23T01:33:07.0807195Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s)
2022-11-23T01:33:07.0807683Z   test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.014s)
2022-11-23T01:33:07.0808138Z   test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.021s)
2022-11-23T01:33:07.0808545Z   test_cat (__main__.TestSymbolicTracing) ... ok (0.044s)
2022-11-23T01:33:07.0809002Z   test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.027s)
2022-11-23T01:33:07.0809458Z   test_expand (__main__.TestSymbolicTracing) ... ok (0.024s)
2022-11-23T01:33:07.0809863Z   test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.570s)
2022-11-23T01:33:07.0810287Z   test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.028s)
2022-11-23T01:33:07.0810684Z   test_metadata (__main__.TestSymbolicTracing) ... ok (0.020s)
2022-11-23T01:33:07.0811137Z   test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.014s)
2022-11-23T01:33:07.0811653Z   test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.010s)
2022-11-23T01:33:07.0812164Z   test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.031s)
2022-11-23T01:33:07.0813614Z   test_new_empty (__main__.TestSymbolicTracing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83408 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:33:07.0814439Z   test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.073s)
2022-11-23T01:33:07.0814878Z   test_return_symint (__main__.TestSymbolicTracing) ... ok (0.026s)
2022-11-23T01:33:07.0815280Z   test_rmethod (__main__.TestSymbolicTracing) ... ok (0.012s)
2022-11-23T01:33:07.0815693Z   test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.038s)
2022-11-23T01:33:07.0816108Z   test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.012s)
2022-11-23T01:33:07.0816529Z   test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.025s)
2022-11-23T01:33:07.0816954Z   test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.023s)
2022-11-23T01:33:07.0817353Z   test_unary (__main__.TestSymbolicTracing) ... ok (0.029s)
2022-11-23T01:33:07.0817572Z 
2022-11-23T01:33:07.0817855Z ----------------------------------------------------------------------
2022-11-23T01:33:07.0818204Z Ran 110 tests in 3.766s
2022-11-23T01:33:07.0818425Z 
2022-11-23T01:33:07.0818556Z OK (skipped=4, expected failures=2)
2022-11-23T01:33:07.0819126Z 
2022-11-23T01:33:07.0819261Z Generating XML reports...
2022-11-23T01:33:07.0819809Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123013302.xml
2022-11-23T01:33:07.0820538Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123013302.xml
2022-11-23T01:33:07.0821384Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123013302.xml
2022-11-23T01:33:07.0822162Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123013302.xml
2022-11-23T01:33:07.0822906Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123013302.xml
2022-11-23T01:33:07.0823230Z 
2022-11-23T01:33:07.0823628Z ##[endgroup]
2022-11-23T01:33:07.0824157Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_v1127r3e)
2022-11-23T01:33:07.0824455Z 
2022-11-23T01:33:08.9785821Z Ignoring disabled issues:  []
2022-11-23T01:33:09.0030245Z Running test_pytree ... [2022-11-23 01:33:09.002327]
2022-11-23T01:33:09.0030951Z Executing ['/opt/conda/bin/python', '-bb', 'test_pytree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:09.002674]
2022-11-23T01:33:11.8205773Z 
2022-11-23T01:33:11.8206252Z Expand the folded group to see the log file of test_pytree
2022-11-23T01:33:11.8206972Z ##[group]PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_j5zd_bvj)
2022-11-23T01:33:11.8207198Z 
2022-11-23T01:33:11.8207282Z Running tests...
2022-11-23T01:33:11.8207733Z ----------------------------------------------------------------------
2022-11-23T01:33:11.8208121Z Test results will be stored in test-reports/python-unittest/test_pytree
2022-11-23T01:33:11.8208524Z   test_broadcast_to_and_flatten (__main__.TestPytree) ... ok (1.093s)
2022-11-23T01:33:11.8208921Z   test_flatten_unflatten_dict (__main__.TestPytree) ... ok (0.004s)
2022-11-23T01:33:11.8209214Z   test_flatten_unflatten_leaf (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:11.8209616Z   test_flatten_unflatten_list (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:11.8209953Z   test_flatten_unflatten_namedtuple (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8210264Z   test_flatten_unflatten_nested (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8210558Z   test_flatten_unflatten_odict (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8210870Z   test_flatten_unflatten_return_type_max (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8211188Z   test_flatten_unflatten_return_type_min (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8211494Z   test_flatten_unflatten_tuple (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:11.8211781Z   test_tree_all_any (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8212051Z   test_tree_only (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8212315Z   test_treemap (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8212584Z   test_treespec_equality (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8212866Z   test_treespec_repr (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:11.8213027Z 
2022-11-23T01:33:11.8213238Z ----------------------------------------------------------------------
2022-11-23T01:33:11.8213493Z Ran 15 tests in 1.113s
2022-11-23T01:33:11.8213616Z 
2022-11-23T01:33:11.8213685Z OK
2022-11-23T01:33:11.8213785Z 
2022-11-23T01:33:11.8213877Z Generating XML reports...
2022-11-23T01:33:11.8214288Z Generated XML report: test-reports/python-unittest/test_pytree/TEST-TestPytree-20221123013310.xml
2022-11-23T01:33:11.8214507Z 
2022-11-23T01:33:11.8214742Z ##[endgroup]
2022-11-23T01:33:11.8215122Z FINISHED PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_j5zd_bvj)
2022-11-23T01:33:11.8215339Z 
2022-11-23T01:33:13.7525382Z Ignoring disabled issues:  []
2022-11-23T01:33:13.7765496Z Running test_schema_check ... [2022-11-23 01:33:13.776044]
2022-11-23T01:33:13.7769306Z Executing ['/opt/conda/bin/python', '-bb', 'test_schema_check.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:13.776377]
2022-11-23T01:40:48.4758583Z 
2022-11-23T01:40:48.4759155Z Expand the folded group to see the log file of test_schema_check
2022-11-23T01:40:48.4760112Z ##[group]PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_z98aduco)
2022-11-23T01:40:48.4768831Z 
2022-11-23T01:40:48.4769169Z Running tests...
2022-11-23T01:40:48.4769688Z ----------------------------------------------------------------------
2022-11-23T01:40:48.4770105Z Test results will be stored in test-reports/python-unittest/test_schema_check
2022-11-23T01:40:48.4770467Z   test_alias_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.023s)
2022-11-23T01:40:48.4770895Z   test_alias_check_fail_multiple_operators_centered (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4774293Z   test_alias_check_fail_outputs_unexpectedly_aliasing (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4774828Z   test_alias_check_fail_simple (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4775276Z   test_is_alias_of_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4775747Z   test_is_alias_of_empty_container (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T01:40:48.4776189Z   test_mutation_check_fail (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4776735Z   test_mutation_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4777291Z   test_overlaps_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4777735Z   test_overlaps_empty_container (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4778195Z   test_schema_check_mode_empty_list_input (__main__.TestSchemaCheck) ... ok (0.009s)
2022-11-23T01:40:48.4780862Z   test_schema_check_mode_functionality (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4781364Z   test_schema_check_mode_functionality_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4781890Z   test_schema_check_mode_functionality_default_replaced (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4782358Z   test_schema_check_mode_functionality_device_input (__main__.TestSchemaCheck) ... ok (0.005s)
2022-11-23T01:40:48.4782772Z   test_schema_check_mode_functionality_kwarg_tensor (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T01:40:48.4783172Z   test_schema_check_mode_functionality_list_input (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4783629Z   test_schema_check_mode_functionality_mutable_inputs (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4784092Z   test_schema_check_mode_functionality_nested_training_op (__main__.TestSchemaCheck) ... ok (0.011s)
2022-11-23T01:40:48.4784472Z   test_schema_check_mode_functionality_training_op (__main__.TestSchemaCheck) ... ok (0.010s)
2022-11-23T01:40:48.4784824Z   test_schema_check_mode_functionality_wildcard_after (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4785257Z   test_schema_check_mode_functionality_with_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4786234Z   test_schema_check_mode_functionality_with_multiple_outputs_aliasing (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:276: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:40:48.4787488Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T01:40:48.4787772Z ok (0.002s)
2022-11-23T01:40:48.4788128Z   test_schema_check_mode_mutated_aliasing_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4788981Z   test_schema_check_mode_mutated_aliasing_aliasing_outputs (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:179: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:40:48.4789799Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T01:40:48.4790011Z ok (0.002s)
2022-11-23T01:40:48.4790391Z   test_schema_check_mode_mutated_aliasing_as_strided (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4790787Z   test_schema_check_mode_mutated_aliasing_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4791172Z   test_schema_check_mode_mutated_aliasing_mutation (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4791511Z   test_schema_check_mode_mutated_aliasing_none (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4791856Z   test_schema_check_mode_mutated_aliasing_resize_ (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:40:48.4792196Z   test_schema_check_mode_operator_order (__main__.TestSchemaCheck) ... ok (0.005s)
2022-11-23T01:40:48.4792540Z   test_schema_check_mode_operator_order_without_grad (__main__.TestSchemaCheck) ... ok (0.005s)
2022-11-23T01:40:48.4792930Z   test_schema_info_bind_basic (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:40:48.4793396Z   test_schema_correctness_H_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4793905Z   test_schema_correctness_H_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4794375Z   test_schema_correctness_H_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4794774Z   test_schema_correctness_H_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4795283Z   test_schema_correctness_H_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4795677Z   test_schema_correctness_H_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4796074Z   test_schema_correctness_H_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4797440Z   test_schema_correctness_H_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4797948Z   test_schema_correctness_H_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4798455Z   test_schema_correctness_H_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4798950Z   test_schema_correctness_H_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4799427Z   test_schema_correctness_H_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4799920Z   test_schema_correctness_H_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4800402Z   test_schema_correctness_T_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.4800952Z   test_schema_correctness_T_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4801472Z   test_schema_correctness_T_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4801963Z   test_schema_correctness_T_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4802517Z   test_schema_correctness_T_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4802943Z   test_schema_correctness_T_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4803455Z   test_schema_correctness_T_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4803938Z   test_schema_correctness_T_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4804417Z   test_schema_correctness_T_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4804885Z   test_schema_correctness_T_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4805348Z   test_schema_correctness_T_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.4805826Z   test_schema_correctness_T_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4806308Z   test_schema_correctness_T_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4806806Z   test_schema_correctness___getitem___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4807309Z   test_schema_correctness___getitem___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4807820Z   test_schema_correctness___getitem___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4808337Z   test_schema_correctness___getitem___cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4808849Z   test_schema_correctness___getitem___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4809364Z   test_schema_correctness___getitem___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4809882Z   test_schema_correctness___getitem___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4810402Z   test_schema_correctness___getitem___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4810914Z   test_schema_correctness___getitem___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4811422Z   test_schema_correctness___getitem___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4811892Z   test_schema_correctness___getitem___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.4812402Z   test_schema_correctness___getitem___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.4812903Z   test_schema_correctness___getitem___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4813400Z   test_schema_correctness___radd___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4813794Z   test_schema_correctness___radd___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4814208Z   test_schema_correctness___radd___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4814597Z   test_schema_correctness___radd___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4815061Z   test_schema_correctness___radd___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4815553Z   test_schema_correctness___radd___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4815996Z   test_schema_correctness___radd___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4816546Z   test_schema_correctness___radd___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4817189Z   test_schema_correctness___radd___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4817759Z   test_schema_correctness___radd___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4818310Z   test_schema_correctness___radd___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4819122Z   test_schema_correctness___radd___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4819703Z   test_schema_correctness___rand___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4820270Z   test_schema_correctness___rand___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4820818Z   test_schema_correctness___rand___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4821378Z   test_schema_correctness___rand___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4821944Z   test_schema_correctness___rand___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4822504Z   test_schema_correctness___rand___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4823065Z   test_schema_correctness___rdiv___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4823642Z   test_schema_correctness___rdiv___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4824545Z   test_schema_correctness___rdiv___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.4825134Z   test_schema_correctness___rdiv___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.4825706Z   test_schema_correctness___rdiv___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4826283Z   test_schema_correctness___rdiv___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4826861Z   test_schema_correctness___rdiv___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4827417Z   test_schema_correctness___rdiv___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4827980Z   test_schema_correctness___rdiv___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.4828546Z   test_schema_correctness___rdiv___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.4829111Z   test_schema_correctness___rdiv___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.4829664Z   test_schema_correctness___rdiv___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.4830323Z   test_schema_correctness___rmatmul___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.758s)
2022-11-23T01:40:48.4830924Z   test_schema_correctness___rmatmul___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.100s)
2022-11-23T01:40:48.4831523Z   test_schema_correctness___rmatmul___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4832099Z   test_schema_correctness___rmatmul___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.4832683Z   test_schema_correctness___rmatmul___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.097s)
2022-11-23T01:40:48.4833263Z   test_schema_correctness___rmatmul___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.097s)
2022-11-23T01:40:48.4833832Z   test_schema_correctness___rmod___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4834395Z   test_schema_correctness___rmod___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4834974Z   test_schema_correctness___rmod___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4835633Z   test_schema_correctness___rmod___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4836199Z   test_schema_correctness___rmod___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4836771Z   test_schema_correctness___rmod___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4837370Z   test_schema_correctness___rmod___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4837931Z   test_schema_correctness___rmod___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4838482Z   test_schema_correctness___rmod___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4839056Z   test_schema_correctness___rmul___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4839623Z   test_schema_correctness___rmul___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4840209Z   test_schema_correctness___rmul___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4840778Z   test_schema_correctness___rmul___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4841353Z   test_schema_correctness___rmul___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4841927Z   test_schema_correctness___rmul___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4842497Z   test_schema_correctness___rmul___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4843052Z   test_schema_correctness___rmul___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4843615Z   test_schema_correctness___rmul___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4844176Z   test_schema_correctness___rmul___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4844730Z   test_schema_correctness___rmul___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4845291Z   test_schema_correctness___rmul___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4845857Z   test_schema_correctness___ror___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4846423Z   test_schema_correctness___ror___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4846970Z   test_schema_correctness___ror___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4847534Z   test_schema_correctness___ror___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4848091Z   test_schema_correctness___ror___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4848658Z   test_schema_correctness___ror___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4850045Z   test_schema_correctness___rpow___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:40:48.4850981Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:40:48.4851379Z ok (0.083s)
2022-11-23T01:40:48.4851812Z   test_schema_correctness___rpow___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T01:40:48.4852398Z   test_schema_correctness___rpow___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T01:40:48.4852981Z   test_schema_correctness___rpow___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T01:40:48.4853622Z   test_schema_correctness___rpow___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T01:40:48.4854194Z   test_schema_correctness___rpow___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T01:40:48.4854757Z   test_schema_correctness___rpow___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T01:40:48.4855354Z   test_schema_correctness___rpow___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T01:40:48.4855916Z   test_schema_correctness___rpow___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T01:40:48.4856483Z   test_schema_correctness___rpow___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T01:40:48.4857041Z   test_schema_correctness___rpow___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T01:40:48.4857618Z   test_schema_correctness___rsub___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4858204Z   test_schema_correctness___rsub___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4858930Z   test_schema_correctness___rsub___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4859468Z   test_schema_correctness___rsub___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4859985Z   test_schema_correctness___rsub___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4860405Z   test_schema_correctness___rsub___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4860788Z   test_schema_correctness___rsub___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4861208Z   test_schema_correctness___rsub___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4861620Z   test_schema_correctness___rsub___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4862008Z   test_schema_correctness___rsub___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4862444Z   test_schema_correctness___rsub___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4862967Z   test_schema_correctness___rxor___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4863473Z   test_schema_correctness___rxor___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4863973Z   test_schema_correctness___rxor___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4864451Z   test_schema_correctness___rxor___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4864955Z   test_schema_correctness___rxor___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4865392Z   test_schema_correctness___rxor___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4865851Z   test_schema_correctness__softmax_backward_data_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4866322Z   test_schema_correctness__softmax_backward_data_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4866749Z   test_schema_correctness__softmax_backward_data_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4867172Z   test_schema_correctness__softmax_backward_data_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4867616Z   test_schema_correctness_abs_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4868126Z   test_schema_correctness_abs_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4868711Z   test_schema_correctness_abs_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4869219Z   test_schema_correctness_abs_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4869711Z   test_schema_correctness_abs_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4870356Z   test_schema_correctness_abs_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4870859Z   test_schema_correctness_abs_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4871342Z   test_schema_correctness_abs_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4871829Z   test_schema_correctness_abs_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4872313Z   test_schema_correctness_abs_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4872802Z   test_schema_correctness_abs_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4873292Z   test_schema_correctness_abs_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4873758Z   test_schema_correctness_abs_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4874258Z   test_schema_correctness_acos_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4874751Z   test_schema_correctness_acos_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4875247Z   test_schema_correctness_acos_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4875761Z   test_schema_correctness_acos_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4876259Z   test_schema_correctness_acos_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4876768Z   test_schema_correctness_acos_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4877252Z   test_schema_correctness_acos_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4877757Z   test_schema_correctness_acos_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4878261Z   test_schema_correctness_acos_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4878754Z   test_schema_correctness_acos_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4879239Z   test_schema_correctness_acos_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4879725Z   test_schema_correctness_acos_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4880214Z   test_schema_correctness_acos_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4880714Z   test_schema_correctness_acosh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4881196Z   test_schema_correctness_acosh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4881698Z   test_schema_correctness_acosh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4882209Z   test_schema_correctness_acosh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4882719Z   test_schema_correctness_acosh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4883201Z   test_schema_correctness_acosh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4883708Z   test_schema_correctness_acosh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4884209Z   test_schema_correctness_acosh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4884744Z   test_schema_correctness_acosh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4885240Z   test_schema_correctness_acosh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4885731Z   test_schema_correctness_acosh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4886268Z   test_schema_correctness_acosh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4886741Z   test_schema_correctness_acosh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4887236Z   test_schema_correctness_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4887739Z   test_schema_correctness_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4888233Z   test_schema_correctness_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.4888726Z   test_schema_correctness_add_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4889228Z   test_schema_correctness_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.4889725Z   test_schema_correctness_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.4890218Z   test_schema_correctness_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4890703Z   test_schema_correctness_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4891195Z   test_schema_correctness_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4891682Z   test_schema_correctness_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4892157Z   test_schema_correctness_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4892635Z   test_schema_correctness_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4893123Z   test_schema_correctness_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4893621Z   test_schema_correctness_addbmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4894153Z   test_schema_correctness_addbmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.4894692Z   test_schema_correctness_addbmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.4895209Z   test_schema_correctness_addbmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4895720Z   test_schema_correctness_addbmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4896191Z   test_schema_correctness_addbmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4896704Z   test_schema_correctness_addcdiv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4897220Z   test_schema_correctness_addcdiv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.4897748Z   test_schema_correctness_addcdiv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.4898256Z   test_schema_correctness_addcdiv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.4898765Z   test_schema_correctness_addcdiv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4899450Z   test_schema_correctness_addcdiv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.4899895Z   test_schema_correctness_addcmul_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.4900365Z   test_schema_correctness_addcmul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.4900772Z   test_schema_correctness_addcmul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.4901191Z   test_schema_correctness_addcmul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.4901695Z   test_schema_correctness_addcmul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.4902084Z   test_schema_correctness_addcmul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.4902481Z   test_schema_correctness_addcmul_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.4902885Z   test_schema_correctness_addcmul_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.4903265Z   test_schema_correctness_addcmul_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.4903660Z   test_schema_correctness_addcmul_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.4904060Z   test_schema_correctness_addcmul_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.4904454Z   test_schema_correctness_addmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4904870Z   test_schema_correctness_addmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.4905301Z   test_schema_correctness_addmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.4905717Z   test_schema_correctness_addmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4906110Z   test_schema_correctness_addmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4906488Z   test_schema_correctness_addmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4906902Z   test_schema_correctness_addmm_decomposed_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4907345Z   test_schema_correctness_addmm_decomposed_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.4907804Z   test_schema_correctness_addmm_decomposed_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.4908229Z   test_schema_correctness_addmm_decomposed_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4908650Z   test_schema_correctness_addmm_decomposed_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4909066Z   test_schema_correctness_addmm_decomposed_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4909480Z   test_schema_correctness_addmv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4909880Z   test_schema_correctness_addmv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4910382Z   test_schema_correctness_addmv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.4910779Z   test_schema_correctness_addmv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4911170Z   test_schema_correctness_addmv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4911557Z   test_schema_correctness_addmv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4911949Z   test_schema_correctness_addr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4912334Z   test_schema_correctness_addr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4912773Z   test_schema_correctness_addr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4913169Z   test_schema_correctness_addr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4913568Z   test_schema_correctness_addr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4913986Z   test_schema_correctness_addr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4914370Z   test_schema_correctness_addr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4914757Z   test_schema_correctness_addr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4915144Z   test_schema_correctness_addr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4915532Z   test_schema_correctness_addr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4915908Z   test_schema_correctness_addr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4916295Z   test_schema_correctness_addr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4916685Z   test_schema_correctness_all_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4917127Z   test_schema_correctness_all_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4918145Z   test_schema_correctness_all_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T01:40:48.4918679Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.4918880Z ok (0.008s)
2022-11-23T01:40:48.4919174Z   test_schema_correctness_all_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4919561Z   test_schema_correctness_all_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4919956Z   test_schema_correctness_all_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4920346Z   test_schema_correctness_all_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4920740Z   test_schema_correctness_all_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4921108Z   test_schema_correctness_all_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4921489Z   test_schema_correctness_all_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4921870Z   test_schema_correctness_all_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4922245Z   test_schema_correctness_all_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4922646Z   test_schema_correctness_allclose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.4923056Z   test_schema_correctness_allclose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.4923470Z   test_schema_correctness_allclose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.4923866Z   test_schema_correctness_allclose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.4924270Z   test_schema_correctness_allclose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.4924734Z   test_schema_correctness_allclose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.4925133Z   test_schema_correctness_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4925556Z   test_schema_correctness_amax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4925951Z   test_schema_correctness_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4926342Z   test_schema_correctness_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4926760Z   test_schema_correctness_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T01:40:48.4927138Z   test_schema_correctness_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4927530Z   test_schema_correctness_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4927917Z   test_schema_correctness_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4928289Z   test_schema_correctness_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4928675Z   test_schema_correctness_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4929061Z   test_schema_correctness_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4929453Z   test_schema_correctness_amin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T01:40:48.4929835Z   test_schema_correctness_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4930225Z   test_schema_correctness_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4930615Z   test_schema_correctness_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4930997Z   test_schema_correctness_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4931371Z   test_schema_correctness_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4931757Z   test_schema_correctness_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4932147Z   test_schema_correctness_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.4932528Z   test_schema_correctness_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.4932911Z   test_schema_correctness_aminmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4933308Z   test_schema_correctness_aminmax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4933698Z   test_schema_correctness_aminmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4934086Z   test_schema_correctness_aminmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4934479Z   test_schema_correctness_aminmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4934876Z   test_schema_correctness_aminmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4935264Z   test_schema_correctness_aminmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4935641Z   test_schema_correctness_aminmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4936031Z   test_schema_correctness_aminmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4936416Z   test_schema_correctness_aminmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4936804Z   test_schema_correctness_angle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4937191Z   test_schema_correctness_angle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4937589Z   test_schema_correctness_angle_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4938016Z   test_schema_correctness_angle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.4938411Z   test_schema_correctness_angle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4938788Z   test_schema_correctness_angle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4939583Z   test_schema_correctness_angle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4939973Z   test_schema_correctness_angle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4940351Z   test_schema_correctness_angle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4940733Z   test_schema_correctness_angle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4941119Z   test_schema_correctness_angle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4941512Z   test_schema_correctness_any_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4941886Z   test_schema_correctness_any_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4942279Z   test_schema_correctness_any_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4942679Z   test_schema_correctness_any_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4943071Z   test_schema_correctness_any_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4943447Z   test_schema_correctness_any_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4943833Z   test_schema_correctness_any_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4944212Z   test_schema_correctness_any_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4944585Z   test_schema_correctness_any_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4944962Z   test_schema_correctness_any_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4945343Z   test_schema_correctness_any_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4945723Z   test_schema_correctness_any_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4946103Z   test_schema_correctness_arange_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4946499Z   test_schema_correctness_arange_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4946891Z   test_schema_correctness_arange_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4947284Z   test_schema_correctness_arange_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4947672Z   test_schema_correctness_arange_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4948065Z   test_schema_correctness_arange_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4948456Z   test_schema_correctness_arange_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.4948837Z   test_schema_correctness_arange_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.095s)
2022-11-23T01:40:48.4949226Z   test_schema_correctness_arange_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.095s)
2022-11-23T01:40:48.4949623Z   test_schema_correctness_argmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4950020Z   test_schema_correctness_argmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4950641Z   test_schema_correctness_argmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4951077Z   test_schema_correctness_argmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4951470Z   test_schema_correctness_argmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4951896Z   test_schema_correctness_argmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4952280Z   test_schema_correctness_argmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4952666Z   test_schema_correctness_argmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4953057Z   test_schema_correctness_argmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4953441Z   test_schema_correctness_argmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4953839Z   test_schema_correctness_argmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4954229Z   test_schema_correctness_argmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4954616Z   test_schema_correctness_argmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4955002Z   test_schema_correctness_argmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4955388Z   test_schema_correctness_argmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4955779Z   test_schema_correctness_argmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4956160Z   test_schema_correctness_argmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4956538Z   test_schema_correctness_argmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4956934Z   test_schema_correctness_argsort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4957335Z   test_schema_correctness_argsort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4957723Z   test_schema_correctness_argsort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4958118Z   test_schema_correctness_argsort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4958513Z   test_schema_correctness_argsort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4958906Z   test_schema_correctness_argsort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4959284Z   test_schema_correctness_argsort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.4959673Z   test_schema_correctness_argsort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4960063Z   test_schema_correctness_argsort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.4960463Z   test_schema_correctness_argwhere_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4960852Z   test_schema_correctness_argwhere_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4961256Z   test_schema_correctness_argwhere_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4961666Z   test_schema_correctness_argwhere_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4962066Z   test_schema_correctness_argwhere_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4962458Z   test_schema_correctness_argwhere_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4962851Z   test_schema_correctness_argwhere_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4963284Z   test_schema_correctness_argwhere_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4963673Z   test_schema_correctness_argwhere_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4964088Z   test_schema_correctness_argwhere_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4964487Z   test_schema_correctness_argwhere_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.4964877Z   test_schema_correctness_argwhere_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4965268Z   test_schema_correctness_as_strided_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4965671Z   test_schema_correctness_as_strided_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4966082Z   test_schema_correctness_as_strided_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4966494Z   test_schema_correctness_as_strided_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4966897Z   test_schema_correctness_as_strided_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.4967307Z   test_schema_correctness_as_strided_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4967709Z   test_schema_correctness_as_strided_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4968103Z   test_schema_correctness_as_strided_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4968486Z   test_schema_correctness_as_strided_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4968880Z   test_schema_correctness_as_strided_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4969278Z   test_schema_correctness_as_strided_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4969672Z   test_schema_correctness_as_strided_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4970064Z   test_schema_correctness_as_strided_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.4970477Z   test_schema_correctness_as_strided_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4970895Z   test_schema_correctness_as_strided_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4971309Z   test_schema_correctness_as_strided_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4971734Z   test_schema_correctness_as_strided_scatter_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4972164Z   test_schema_correctness_as_strided_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.4972587Z   test_schema_correctness_as_strided_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4972998Z   test_schema_correctness_as_strided_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4973419Z   test_schema_correctness_as_strided_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4973840Z   test_schema_correctness_as_strided_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4974250Z   test_schema_correctness_as_strided_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4974648Z   test_schema_correctness_as_strided_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4975085Z   test_schema_correctness_as_strided_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4975491Z   test_schema_correctness_as_strided_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4975890Z   test_schema_correctness_asin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4976307Z   test_schema_correctness_asin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4976706Z   test_schema_correctness_asin_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4977107Z   test_schema_correctness_asin_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4977497Z   test_schema_correctness_asin_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4977890Z   test_schema_correctness_asin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4978281Z   test_schema_correctness_asin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4978671Z   test_schema_correctness_asin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4979413Z   test_schema_correctness_asin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4979809Z   test_schema_correctness_asin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4980193Z   test_schema_correctness_asin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4980572Z   test_schema_correctness_asin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4980953Z   test_schema_correctness_asin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4981342Z   test_schema_correctness_asinh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4981737Z   test_schema_correctness_asinh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4982126Z   test_schema_correctness_asinh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4982529Z   test_schema_correctness_asinh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4982934Z   test_schema_correctness_asinh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4983333Z   test_schema_correctness_asinh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4983717Z   test_schema_correctness_asinh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4984108Z   test_schema_correctness_asinh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4984491Z   test_schema_correctness_asinh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4984882Z   test_schema_correctness_asinh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4985263Z   test_schema_correctness_asinh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4985646Z   test_schema_correctness_asinh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4986037Z   test_schema_correctness_asinh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4986417Z   test_schema_correctness_atan2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4986808Z   test_schema_correctness_atan2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4987197Z   test_schema_correctness_atan2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4987583Z   test_schema_correctness_atan2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4988048Z   test_schema_correctness_atan2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4988436Z   test_schema_correctness_atan2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4988851Z   test_schema_correctness_atan2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4989234Z   test_schema_correctness_atan2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4989609Z   test_schema_correctness_atan2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4989994Z   test_schema_correctness_atan2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.4990479Z   test_schema_correctness_atan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4990853Z   test_schema_correctness_atan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4991245Z   test_schema_correctness_atan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4991641Z   test_schema_correctness_atan_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4992041Z   test_schema_correctness_atan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4992424Z   test_schema_correctness_atan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4992812Z   test_schema_correctness_atan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4993195Z   test_schema_correctness_atan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4993570Z   test_schema_correctness_atan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4993943Z   test_schema_correctness_atan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4994332Z   test_schema_correctness_atan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4994711Z   test_schema_correctness_atan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4995087Z   test_schema_correctness_atan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4995472Z   test_schema_correctness_atanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4995853Z   test_schema_correctness_atanh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4996242Z   test_schema_correctness_atanh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4996630Z   test_schema_correctness_atanh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4997026Z   test_schema_correctness_atanh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4997418Z   test_schema_correctness_atanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4997804Z   test_schema_correctness_atanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4998182Z   test_schema_correctness_atanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4998564Z   test_schema_correctness_atanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4998949Z   test_schema_correctness_atanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4999319Z   test_schema_correctness_atanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.4999696Z   test_schema_correctness_atanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5000115Z   test_schema_correctness_atanh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5000507Z   test_schema_correctness_atleast_1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5000893Z   test_schema_correctness_atleast_1d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5001346Z   test_schema_correctness_atleast_1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5001752Z   test_schema_correctness_atleast_1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5002156Z   test_schema_correctness_atleast_1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5002544Z   test_schema_correctness_atleast_1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5002945Z   test_schema_correctness_atleast_1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5003337Z   test_schema_correctness_atleast_1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5003725Z   test_schema_correctness_atleast_1d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5004114Z   test_schema_correctness_atleast_1d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5004503Z   test_schema_correctness_atleast_1d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5004898Z   test_schema_correctness_atleast_1d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5005278Z   test_schema_correctness_atleast_1d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5005676Z   test_schema_correctness_atleast_2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5006072Z   test_schema_correctness_atleast_2d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5006471Z   test_schema_correctness_atleast_2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5006868Z   test_schema_correctness_atleast_2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5007269Z   test_schema_correctness_atleast_2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5007663Z   test_schema_correctness_atleast_2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5008056Z   test_schema_correctness_atleast_2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5008438Z   test_schema_correctness_atleast_2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5008829Z   test_schema_correctness_atleast_2d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5009221Z   test_schema_correctness_atleast_2d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5009605Z   test_schema_correctness_atleast_2d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5009989Z   test_schema_correctness_atleast_2d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5010374Z   test_schema_correctness_atleast_2d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5010792Z   test_schema_correctness_atleast_3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5011203Z   test_schema_correctness_atleast_3d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5011602Z   test_schema_correctness_atleast_3d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5012034Z   test_schema_correctness_atleast_3d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5012437Z   test_schema_correctness_atleast_3d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5012824Z   test_schema_correctness_atleast_3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5013256Z   test_schema_correctness_atleast_3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5013641Z   test_schema_correctness_atleast_3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5014028Z   test_schema_correctness_atleast_3d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5014408Z   test_schema_correctness_atleast_3d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5014796Z   test_schema_correctness_atleast_3d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5015190Z   test_schema_correctness_atleast_3d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5015575Z   test_schema_correctness_atleast_3d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5015960Z   test_schema_correctness_baddbmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5016375Z   test_schema_correctness_baddbmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5016802Z   test_schema_correctness_baddbmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5017202Z   test_schema_correctness_baddbmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5017593Z   test_schema_correctness_baddbmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5017984Z   test_schema_correctness_baddbmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5018378Z   test_schema_correctness_bernoulli_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5018768Z   test_schema_correctness_bernoulli_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5019596Z   test_schema_correctness_bernoulli_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5019990Z   test_schema_correctness_bernoulli_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5020381Z   test_schema_correctness_bfloat16_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5020765Z   test_schema_correctness_bfloat16_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5021161Z   test_schema_correctness_bfloat16_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5021566Z   test_schema_correctness_bfloat16_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5021957Z   test_schema_correctness_bfloat16_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5022348Z   test_schema_correctness_bfloat16_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5022743Z   test_schema_correctness_bfloat16_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5023129Z   test_schema_correctness_bfloat16_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5023510Z   test_schema_correctness_bfloat16_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5023899Z   test_schema_correctness_bfloat16_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5024279Z   test_schema_correctness_bfloat16_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5024758Z   test_schema_correctness_bfloat16_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5025143Z   test_schema_correctness_bfloat16_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5025563Z   test_schema_correctness_bincount_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5025946Z   test_schema_correctness_bincount_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5026329Z   test_schema_correctness_bincount_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5026712Z   test_schema_correctness_bincount_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5027099Z   test_schema_correctness_bincount_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5027491Z   test_schema_correctness_bitwise_and_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5027877Z   test_schema_correctness_bitwise_and_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5028270Z   test_schema_correctness_bitwise_and_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5028656Z   test_schema_correctness_bitwise_and_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5029047Z   test_schema_correctness_bitwise_and_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5029425Z   test_schema_correctness_bitwise_and_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5029818Z   test_schema_correctness_bitwise_left_shift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5030312Z   test_schema_correctness_bitwise_left_shift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5030721Z   test_schema_correctness_bitwise_left_shift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5031120Z   test_schema_correctness_bitwise_left_shift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5031520Z   test_schema_correctness_bitwise_left_shift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5031927Z   test_schema_correctness_bitwise_not_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5032316Z   test_schema_correctness_bitwise_not_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5032693Z   test_schema_correctness_bitwise_not_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5033071Z   test_schema_correctness_bitwise_not_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5033459Z   test_schema_correctness_bitwise_not_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5033838Z   test_schema_correctness_bitwise_not_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5034224Z   test_schema_correctness_bitwise_or_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5034620Z   test_schema_correctness_bitwise_or_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5035006Z   test_schema_correctness_bitwise_or_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5035382Z   test_schema_correctness_bitwise_or_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5035769Z   test_schema_correctness_bitwise_or_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5036156Z   test_schema_correctness_bitwise_or_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5036624Z   test_schema_correctness_bitwise_right_shift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5037028Z   test_schema_correctness_bitwise_right_shift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5037439Z   test_schema_correctness_bitwise_right_shift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5037871Z   test_schema_correctness_bitwise_right_shift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5038281Z   test_schema_correctness_bitwise_right_shift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5038674Z   test_schema_correctness_bitwise_xor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5039068Z   test_schema_correctness_bitwise_xor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5039462Z   test_schema_correctness_bitwise_xor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5039841Z   test_schema_correctness_bitwise_xor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5040233Z   test_schema_correctness_bitwise_xor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5040624Z   test_schema_correctness_bitwise_xor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5041020Z   test_schema_correctness_block_diag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5041411Z   test_schema_correctness_block_diag_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5041814Z   test_schema_correctness_block_diag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5042221Z   test_schema_correctness_block_diag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5042627Z   test_schema_correctness_block_diag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5043017Z   test_schema_correctness_block_diag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5043414Z   test_schema_correctness_block_diag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5043809Z   test_schema_correctness_block_diag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5044195Z   test_schema_correctness_block_diag_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5044578Z   test_schema_correctness_block_diag_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5044962Z   test_schema_correctness_block_diag_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5045358Z   test_schema_correctness_block_diag_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5045738Z   test_schema_correctness_block_diag_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5046136Z   test_schema_correctness_bmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5046530Z   test_schema_correctness_bmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5046918Z   test_schema_correctness_bmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5047297Z   test_schema_correctness_bmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5047681Z   test_schema_correctness_bmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5048060Z   test_schema_correctness_bmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5048478Z   test_schema_correctness_bool_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5048858Z   test_schema_correctness_bool_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5049247Z   test_schema_correctness_bool_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5049668Z   test_schema_correctness_bool_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5050052Z   test_schema_correctness_bool_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5050439Z   test_schema_correctness_bool_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5050863Z   test_schema_correctness_bool_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5051265Z   test_schema_correctness_bool_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5051639Z   test_schema_correctness_bool_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5052020Z   test_schema_correctness_bool_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5052398Z   test_schema_correctness_bool_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5052773Z   test_schema_correctness_bool_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5053144Z   test_schema_correctness_bool_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5053534Z   test_schema_correctness_broadcast_shapes_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5053947Z   test_schema_correctness_broadcast_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5054362Z   test_schema_correctness_broadcast_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5054773Z   test_schema_correctness_broadcast_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5055196Z   test_schema_correctness_broadcast_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5055618Z   test_schema_correctness_broadcast_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5056017Z   test_schema_correctness_broadcast_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5056421Z   test_schema_correctness_broadcast_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5056832Z   test_schema_correctness_broadcast_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5057241Z   test_schema_correctness_broadcast_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5057637Z   test_schema_correctness_broadcast_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5058036Z   test_schema_correctness_broadcast_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5058440Z   test_schema_correctness_broadcast_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5059215Z   test_schema_correctness_broadcast_to_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5059653Z   test_schema_correctness_broadcast_to_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5060059Z   test_schema_correctness_broadcast_to_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5091918Z   test_schema_correctness_broadcast_to_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5092857Z   test_schema_correctness_broadcast_to_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5093259Z   test_schema_correctness_broadcast_to_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5093661Z   test_schema_correctness_broadcast_to_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5094121Z   test_schema_correctness_broadcast_to_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5094522Z   test_schema_correctness_broadcast_to_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5094910Z   test_schema_correctness_broadcast_to_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5095306Z   test_schema_correctness_broadcast_to_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5095705Z   test_schema_correctness_broadcast_to_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5096961Z   test_schema_correctness_bucketize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5097350Z   test_schema_correctness_bucketize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5097742Z   test_schema_correctness_bucketize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5098141Z   test_schema_correctness_bucketize_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5098536Z   test_schema_correctness_bucketize_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5099203Z   test_schema_correctness_bucketize_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5099603Z   test_schema_correctness_bucketize_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5099998Z   test_schema_correctness_bucketize_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5100387Z   test_schema_correctness_byte_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5100769Z   test_schema_correctness_byte_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5101159Z   test_schema_correctness_byte_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5101549Z   test_schema_correctness_byte_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5101930Z   test_schema_correctness_byte_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5102315Z   test_schema_correctness_byte_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5102696Z   test_schema_correctness_byte_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5103080Z   test_schema_correctness_byte_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5103455Z   test_schema_correctness_byte_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5103837Z   test_schema_correctness_byte_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5104219Z   test_schema_correctness_byte_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5104596Z   test_schema_correctness_byte_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5104983Z   test_schema_correctness_cartesian_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5105395Z   test_schema_correctness_cartesian_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5105808Z   test_schema_correctness_cartesian_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5106288Z   test_schema_correctness_cartesian_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5106704Z   test_schema_correctness_cartesian_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5107111Z   test_schema_correctness_cartesian_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5107551Z   test_schema_correctness_cartesian_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5107951Z   test_schema_correctness_cartesian_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5108355Z   test_schema_correctness_cartesian_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5108757Z   test_schema_correctness_cartesian_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5109162Z   test_schema_correctness_cartesian_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5109555Z   test_schema_correctness_cartesian_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5109955Z   test_schema_correctness_cat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5110464Z   test_schema_correctness_cat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5110858Z   test_schema_correctness_cat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5111249Z   test_schema_correctness_cat_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5111664Z   test_schema_correctness_cat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5112072Z   test_schema_correctness_cat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5112458Z   test_schema_correctness_cat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5112841Z   test_schema_correctness_cat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5113225Z   test_schema_correctness_cat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5113610Z   test_schema_correctness_cat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5113980Z   test_schema_correctness_cat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5114362Z   test_schema_correctness_cat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5114737Z   test_schema_correctness_cat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5115119Z   test_schema_correctness_cdist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.249s)
2022-11-23T01:40:48.5115499Z   test_schema_correctness_cdist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.248s)
2022-11-23T01:40:48.5115892Z   test_schema_correctness_cdouble_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5116286Z   test_schema_correctness_cdouble_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5116679Z   test_schema_correctness_cdouble_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5117079Z   test_schema_correctness_cdouble_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5117477Z   test_schema_correctness_cdouble_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5117873Z   test_schema_correctness_cdouble_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5118262Z   test_schema_correctness_cdouble_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5118692Z   test_schema_correctness_cdouble_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5119085Z   test_schema_correctness_cdouble_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5119473Z   test_schema_correctness_cdouble_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5119867Z   test_schema_correctness_cdouble_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5120253Z   test_schema_correctness_cdouble_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5120644Z   test_schema_correctness_cdouble_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5121022Z   test_schema_correctness_ceil_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5121405Z   test_schema_correctness_ceil_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5121791Z   test_schema_correctness_ceil_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5122177Z   test_schema_correctness_ceil_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5122557Z   test_schema_correctness_ceil_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5122934Z   test_schema_correctness_ceil_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5123310Z   test_schema_correctness_ceil_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5123682Z   test_schema_correctness_ceil_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5124056Z   test_schema_correctness_ceil_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5124441Z   test_schema_correctness_cfloat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5124835Z   test_schema_correctness_cfloat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5125231Z   test_schema_correctness_cfloat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5125628Z   test_schema_correctness_cfloat_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5126027Z   test_schema_correctness_cfloat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5126424Z   test_schema_correctness_cfloat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5126807Z   test_schema_correctness_cfloat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5127198Z   test_schema_correctness_cfloat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5127584Z   test_schema_correctness_cfloat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5127969Z   test_schema_correctness_cfloat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5128345Z   test_schema_correctness_cfloat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5128731Z   test_schema_correctness_cfloat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5129115Z   test_schema_correctness_cfloat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5130164Z   test_schema_correctness_chalf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py:14387: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:40:48.5130799Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2022-11-23T01:40:48.5131032Z ok (0.057s)
2022-11-23T01:40:48.5131320Z   test_schema_correctness_chalf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5131714Z   test_schema_correctness_chalf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5132135Z   test_schema_correctness_chalf_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5132535Z   test_schema_correctness_chalf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5132927Z   test_schema_correctness_chalf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5133304Z   test_schema_correctness_chalf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5133682Z   test_schema_correctness_chalf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5134075Z   test_schema_correctness_chalf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5134453Z   test_schema_correctness_chalf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5134834Z   test_schema_correctness_chalf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5135223Z   test_schema_correctness_chalf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5135610Z   test_schema_correctness_chalf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5135996Z   test_schema_correctness_char_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5136372Z   test_schema_correctness_char_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5136762Z   test_schema_correctness_char_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5137158Z   test_schema_correctness_char_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5137543Z   test_schema_correctness_char_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5137931Z   test_schema_correctness_char_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5138318Z   test_schema_correctness_char_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5138709Z   test_schema_correctness_char_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5139328Z   test_schema_correctness_char_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5139711Z   test_schema_correctness_char_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5140087Z   test_schema_correctness_char_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5140464Z   test_schema_correctness_char_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5140840Z   test_schema_correctness_char_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5141615Z   test_schema_correctness_cholesky_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T01:40:48.5142111Z L = torch.cholesky(A)
2022-11-23T01:40:48.5142319Z should be replaced with
2022-11-23T01:40:48.5142528Z L = torch.linalg.cholesky(A)
2022-11-23T01:40:48.5142727Z and
2022-11-23T01:40:48.5142922Z U = torch.cholesky(A, upper=True)
2022-11-23T01:40:48.5143137Z should be replaced with
2022-11-23T01:40:48.5143360Z U = torch.linalg.cholesky(A).mH().
2022-11-23T01:40:48.5143888Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1729.)
2022-11-23T01:40:48.5144275Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5144480Z ok (0.159s)
2022-11-23T01:40:48.5144818Z   test_schema_correctness_cholesky_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5145218Z   test_schema_correctness_cholesky_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5145618Z   test_schema_correctness_cholesky_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5146029Z   test_schema_correctness_cholesky_inverse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.206s)
2022-11-23T01:40:48.5146452Z   test_schema_correctness_cholesky_inverse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5146863Z   test_schema_correctness_cholesky_inverse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5147272Z   test_schema_correctness_cholesky_inverse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5147680Z   test_schema_correctness_cholesky_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5148093Z   test_schema_correctness_cholesky_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5148493Z   test_schema_correctness_cholesky_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5148899Z   test_schema_correctness_cholesky_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5149301Z   test_schema_correctness_chunk_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5149690Z   test_schema_correctness_chunk_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5150078Z   test_schema_correctness_chunk_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5150592Z   test_schema_correctness_chunk_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5150990Z   test_schema_correctness_chunk_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5151379Z   test_schema_correctness_chunk_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5151762Z   test_schema_correctness_chunk_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5152142Z   test_schema_correctness_chunk_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5152518Z   test_schema_correctness_chunk_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5152893Z   test_schema_correctness_chunk_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5153275Z   test_schema_correctness_chunk_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5153656Z   test_schema_correctness_chunk_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5154037Z   test_schema_correctness_chunk_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5154414Z   test_schema_correctness_clamp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5154804Z   test_schema_correctness_clamp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5155190Z   test_schema_correctness_clamp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5155566Z   test_schema_correctness_clamp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5155966Z   test_schema_correctness_clamp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5156344Z   test_schema_correctness_clamp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5156716Z   test_schema_correctness_clamp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5157110Z   test_schema_correctness_clamp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5157496Z   test_schema_correctness_clamp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5157889Z   test_schema_correctness_clamp_max_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5158286Z   test_schema_correctness_clamp_max_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5158675Z   test_schema_correctness_clamp_max_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5159068Z   test_schema_correctness_clamp_max_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5159461Z   test_schema_correctness_clamp_max_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5159852Z   test_schema_correctness_clamp_max_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5160239Z   test_schema_correctness_clamp_max_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5160629Z   test_schema_correctness_clamp_max_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5161017Z   test_schema_correctness_clamp_max_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5161398Z   test_schema_correctness_clamp_max_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5161792Z   test_schema_correctness_clamp_min_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5162188Z   test_schema_correctness_clamp_min_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5162580Z   test_schema_correctness_clamp_min_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5162968Z   test_schema_correctness_clamp_min_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5163350Z   test_schema_correctness_clamp_min_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5163742Z   test_schema_correctness_clamp_min_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5164131Z   test_schema_correctness_clamp_min_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5164507Z   test_schema_correctness_clamp_min_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5164897Z   test_schema_correctness_clamp_min_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5165287Z   test_schema_correctness_clamp_min_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5165670Z   test_schema_correctness_clone_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5166051Z   test_schema_correctness_clone_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5166445Z   test_schema_correctness_clone_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5166839Z   test_schema_correctness_clone_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5167220Z   test_schema_correctness_clone_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5167607Z   test_schema_correctness_clone_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5168021Z   test_schema_correctness_clone_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5168404Z   test_schema_correctness_clone_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5168772Z   test_schema_correctness_clone_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5169188Z   test_schema_correctness_clone_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5169566Z   test_schema_correctness_clone_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5169942Z   test_schema_correctness_clone_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5170317Z   test_schema_correctness_clone_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5170732Z   test_schema_correctness_column_stack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5171166Z   test_schema_correctness_column_stack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5171558Z   test_schema_correctness_column_stack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5171969Z   test_schema_correctness_column_stack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5172380Z   test_schema_correctness_column_stack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5172781Z   test_schema_correctness_column_stack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5173175Z   test_schema_correctness_column_stack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5173571Z   test_schema_correctness_column_stack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5173968Z   test_schema_correctness_column_stack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5174361Z   test_schema_correctness_column_stack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5174745Z   test_schema_correctness_column_stack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5175146Z   test_schema_correctness_column_stack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5175542Z   test_schema_correctness_column_stack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5175935Z   test_schema_correctness_combinations_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.362s)
2022-11-23T01:40:48.5176330Z   test_schema_correctness_combinations_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.358s)
2022-11-23T01:40:48.5176736Z   test_schema_correctness_combinations_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.363s)
2022-11-23T01:40:48.5177148Z   test_schema_correctness_combinations_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.363s)
2022-11-23T01:40:48.5177555Z   test_schema_correctness_combinations_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.359s)
2022-11-23T01:40:48.5177956Z   test_schema_correctness_combinations_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.359s)
2022-11-23T01:40:48.5178364Z   test_schema_correctness_combinations_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5178761Z   test_schema_correctness_combinations_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.356s)
2022-11-23T01:40:48.5179624Z   test_schema_correctness_combinations_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5180017Z   test_schema_correctness_combinations_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5180498Z   test_schema_correctness_combinations_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.358s)
2022-11-23T01:40:48.5180896Z   test_schema_correctness_combinations_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5181281Z   test_schema_correctness_complex_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5181711Z   test_schema_correctness_complex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5182104Z   test_schema_correctness_complex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5182492Z   test_schema_correctness_conj_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5182871Z   test_schema_correctness_conj_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5183256Z   test_schema_correctness_conj_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5183653Z   test_schema_correctness_conj_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5184039Z   test_schema_correctness_conj_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5184428Z   test_schema_correctness_conj_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5184818Z   test_schema_correctness_conj_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5185206Z   test_schema_correctness_conj_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5185579Z   test_schema_correctness_conj_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5185956Z   test_schema_correctness_conj_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5186329Z   test_schema_correctness_conj_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5186707Z   test_schema_correctness_conj_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5187081Z   test_schema_correctness_conj_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5187474Z   test_schema_correctness_conj_physical_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5187880Z   test_schema_correctness_conj_physical_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5188284Z   test_schema_correctness_conj_physical_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5188699Z   test_schema_correctness_conj_physical_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5189111Z   test_schema_correctness_conj_physical_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5189523Z   test_schema_correctness_conj_physical_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5189923Z   test_schema_correctness_conj_physical_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5190424Z   test_schema_correctness_conj_physical_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5190882Z   test_schema_correctness_conj_physical_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5191281Z   test_schema_correctness_conj_physical_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5191665Z   test_schema_correctness_conj_physical_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5192067Z   test_schema_correctness_conj_physical_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5192470Z   test_schema_correctness_conj_physical_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5192920Z   test_schema_correctness_constant_pad_nd_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5193343Z   test_schema_correctness_constant_pad_nd_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5193799Z   test_schema_correctness_constant_pad_nd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5194290Z   test_schema_correctness_constant_pad_nd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5194747Z   test_schema_correctness_constant_pad_nd_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5195193Z   test_schema_correctness_constant_pad_nd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5195636Z   test_schema_correctness_constant_pad_nd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5196088Z   test_schema_correctness_constant_pad_nd_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5196525Z   test_schema_correctness_constant_pad_nd_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5196965Z   test_schema_correctness_constant_pad_nd_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5197413Z   test_schema_correctness_constant_pad_nd_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5197851Z   test_schema_correctness_constant_pad_nd_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5198287Z   test_schema_correctness_contiguous_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5198722Z   test_schema_correctness_contiguous_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5199164Z   test_schema_correctness_contiguous_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5199608Z   test_schema_correctness_contiguous_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5200051Z   test_schema_correctness_contiguous_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5200503Z   test_schema_correctness_contiguous_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5200993Z   test_schema_correctness_contiguous_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5201425Z   test_schema_correctness_contiguous_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5201854Z   test_schema_correctness_contiguous_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5202290Z   test_schema_correctness_contiguous_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5202723Z   test_schema_correctness_contiguous_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5203153Z   test_schema_correctness_contiguous_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5203591Z   test_schema_correctness_contiguous_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5204029Z   test_schema_correctness_copysign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5204468Z   test_schema_correctness_copysign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5204894Z   test_schema_correctness_copysign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5205332Z   test_schema_correctness_copysign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5205766Z   test_schema_correctness_copysign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5206230Z   test_schema_correctness_copysign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5206652Z   test_schema_correctness_copysign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5207084Z   test_schema_correctness_copysign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5207537Z   test_schema_correctness_copysign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5207963Z   test_schema_correctness_copysign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5208392Z   test_schema_correctness_corrcoef_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5208850Z   test_schema_correctness_corrcoef_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5209334Z   test_schema_correctness_corrcoef_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5209781Z   test_schema_correctness_corrcoef_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5210219Z   test_schema_correctness_corrcoef_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5210655Z   test_schema_correctness_corrcoef_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.161s)
2022-11-23T01:40:48.5211091Z   test_schema_correctness_corrcoef_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5211511Z   test_schema_correctness_corrcoef_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5211943Z   test_schema_correctness_corrcoef_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5212371Z   test_schema_correctness_corrcoef_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5212802Z   test_schema_correctness_corrcoef_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5213223Z   test_schema_correctness_cos_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5213646Z   test_schema_correctness_cos_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5214073Z   test_schema_correctness_cos_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5214489Z   test_schema_correctness_cos_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5214918Z   test_schema_correctness_cos_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5215342Z   test_schema_correctness_cos_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5215764Z   test_schema_correctness_cos_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5216176Z   test_schema_correctness_cos_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5216599Z   test_schema_correctness_cos_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5217018Z   test_schema_correctness_cos_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5217444Z   test_schema_correctness_cos_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5217850Z   test_schema_correctness_cos_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5218269Z   test_schema_correctness_cos_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5218693Z   test_schema_correctness_cosh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5219372Z   test_schema_correctness_cosh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5219834Z   test_schema_correctness_cosh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5220233Z   test_schema_correctness_cosh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5220625Z   test_schema_correctness_cosh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5221037Z   test_schema_correctness_cosh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5221422Z   test_schema_correctness_cosh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5221804Z   test_schema_correctness_cosh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5222181Z   test_schema_correctness_cosh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5222550Z   test_schema_correctness_cosh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5222927Z   test_schema_correctness_cosh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5223303Z   test_schema_correctness_cosh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5223673Z   test_schema_correctness_cosh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5224070Z   test_schema_correctness_count_nonzero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5224474Z   test_schema_correctness_count_nonzero_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5224879Z   test_schema_correctness_count_nonzero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5225283Z   test_schema_correctness_count_nonzero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5225691Z   test_schema_correctness_count_nonzero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5226091Z   test_schema_correctness_count_nonzero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5226490Z   test_schema_correctness_count_nonzero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5226881Z   test_schema_correctness_count_nonzero_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5227285Z   test_schema_correctness_count_nonzero_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5227678Z   test_schema_correctness_count_nonzero_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5228068Z   test_schema_correctness_count_nonzero_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5228452Z   test_schema_correctness_count_nonzero_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5228853Z   test_schema_correctness_cov_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.400s)
2022-11-23T01:40:48.5229258Z   test_schema_correctness_cov_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5229679Z   test_schema_correctness_cov_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5230077Z   test_schema_correctness_cov_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.404s)
2022-11-23T01:40:48.5230554Z   test_schema_correctness_cov_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.414s)
2022-11-23T01:40:48.5230932Z   test_schema_correctness_cov_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.405s)
2022-11-23T01:40:48.5231305Z   test_schema_correctness_cov_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.401s)
2022-11-23T01:40:48.5231739Z   test_schema_correctness_cov_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.403s)
2022-11-23T01:40:48.5232119Z   test_schema_correctness_cov_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.405s)
2022-11-23T01:40:48.5232499Z   test_schema_correctness_cov_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.404s)
2022-11-23T01:40:48.5232890Z   test_schema_correctness_cov_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.405s)
2022-11-23T01:40:48.5233278Z   test_schema_correctness_cross_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5233680Z   test_schema_correctness_cross_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5234074Z   test_schema_correctness_cross_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5234451Z   test_schema_correctness_cross_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5234833Z   test_schema_correctness_cross_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5235218Z   test_schema_correctness_cross_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5235590Z   test_schema_correctness_cross_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5235969Z   test_schema_correctness_cross_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5236352Z   test_schema_correctness_cross_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5236734Z   test_schema_correctness_cross_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5237120Z   test_schema_correctness_cummax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5237510Z   test_schema_correctness_cummax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5237903Z   test_schema_correctness_cummax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5238304Z   test_schema_correctness_cummax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5238690Z   test_schema_correctness_cummax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5239085Z   test_schema_correctness_cummax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5239468Z   test_schema_correctness_cummax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5239847Z   test_schema_correctness_cummax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5240233Z   test_schema_correctness_cummax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5240614Z   test_schema_correctness_cummax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5241015Z   test_schema_correctness_cummin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5241444Z   test_schema_correctness_cummin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5241833Z   test_schema_correctness_cummin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5242227Z   test_schema_correctness_cummin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5242616Z   test_schema_correctness_cummin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5242999Z   test_schema_correctness_cummin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5243385Z   test_schema_correctness_cummin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5243764Z   test_schema_correctness_cummin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5244167Z   test_schema_correctness_cummin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5244552Z   test_schema_correctness_cummin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5244946Z   test_schema_correctness_cumprod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5245380Z   test_schema_correctness_cumprod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5245778Z   test_schema_correctness_cumprod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5246182Z   test_schema_correctness_cumprod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5246580Z   test_schema_correctness_cumprod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5246971Z   test_schema_correctness_cumprod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5247359Z   test_schema_correctness_cumprod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5247746Z   test_schema_correctness_cumprod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5248128Z   test_schema_correctness_cumprod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5248310Z   test_schema_correctness_cumprod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5248497Z   test_schema_correctness_cumprod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5248675Z   test_schema_correctness_cumsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5248867Z   test_schema_correctness_cumsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249059Z   test_schema_correctness_cumsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249249Z   test_schema_correctness_cumsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249428Z   test_schema_correctness_cumsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249617Z   test_schema_correctness_cumsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249800Z   test_schema_correctness_cumsum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5249977Z   test_schema_correctness_cumsum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5250150Z   test_schema_correctness_cumsum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5250327Z   test_schema_correctness_cumsum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5250512Z   test_schema_correctness_cumsum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5250718Z   test_schema_correctness_cumulative_trapezoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5250924Z   test_schema_correctness_cumulative_trapezoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5251139Z   test_schema_correctness_cumulative_trapezoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5251342Z   test_schema_correctness_cumulative_trapezoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5251538Z   test_schema_correctness_cumulative_trapezoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5251734Z   test_schema_correctness_cumulative_trapezoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5251960Z   test_schema_correctness_cumulative_trapezoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5252154Z   test_schema_correctness_cumulative_trapezoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5252349Z   test_schema_correctness_cumulative_trapezoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5252574Z   test_schema_correctness_cumulative_trapezoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5252778Z   test_schema_correctness_cumulative_trapezoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5252968Z   test_schema_correctness_deg2rad_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5253159Z   test_schema_correctness_deg2rad_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5253348Z   test_schema_correctness_deg2rad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5253535Z   test_schema_correctness_deg2rad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5253724Z   test_schema_correctness_deg2rad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5253903Z   test_schema_correctness_deg2rad_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5254083Z   test_schema_correctness_deg2rad_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5254262Z   test_schema_correctness_deg2rad_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5254445Z   test_schema_correctness_deg2rad_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5254622Z   test_schema_correctness_deg2rad_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5254808Z   test_schema_correctness_diag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5254990Z   test_schema_correctness_diag_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5255178Z   test_schema_correctness_diag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5255369Z   test_schema_correctness_diag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5255549Z   test_schema_correctness_diag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5255732Z   test_schema_correctness_diag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5255912Z   test_schema_correctness_diag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256088Z   test_schema_correctness_diag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256273Z   test_schema_correctness_diag_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256450Z   test_schema_correctness_diag_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256631Z   test_schema_correctness_diag_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256811Z   test_schema_correctness_diag_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5256992Z   test_schema_correctness_diag_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5257177Z   test_schema_correctness_diag_embed_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5257364Z   test_schema_correctness_diag_embed_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5257558Z   test_schema_correctness_diag_embed_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5257780Z   test_schema_correctness_diag_embed_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5257974Z   test_schema_correctness_diag_embed_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5258164Z   test_schema_correctness_diag_embed_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5258378Z   test_schema_correctness_diag_embed_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5258567Z   test_schema_correctness_diag_embed_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5258755Z   test_schema_correctness_diag_embed_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5259148Z   test_schema_correctness_diag_embed_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5259344Z   test_schema_correctness_diag_embed_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5259532Z   test_schema_correctness_diag_embed_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5259717Z   test_schema_correctness_diag_embed_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5259910Z   test_schema_correctness_diagflat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5260099Z   test_schema_correctness_diagflat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5260294Z   test_schema_correctness_diagflat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5260486Z   test_schema_correctness_diagflat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5260673Z   test_schema_correctness_diagflat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5260858Z   test_schema_correctness_diagflat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261044Z   test_schema_correctness_diagflat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261231Z   test_schema_correctness_diagflat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261421Z   test_schema_correctness_diagflat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261601Z   test_schema_correctness_diagflat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261784Z   test_schema_correctness_diagflat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5261971Z   test_schema_correctness_diagflat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5262167Z   test_schema_correctness_diagonal_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5262364Z   test_schema_correctness_diagonal_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5262558Z   test_schema_correctness_diagonal_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5262756Z   test_schema_correctness_diagonal_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5262956Z   test_schema_correctness_diagonal_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5263150Z   test_schema_correctness_diagonal_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5263346Z   test_schema_correctness_diagonal_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5263536Z   test_schema_correctness_diagonal_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5263802Z   test_schema_correctness_diagonal_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5263996Z   test_schema_correctness_diagonal_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5264188Z   test_schema_correctness_diagonal_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5264401Z   test_schema_correctness_diagonal_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5264588Z   test_schema_correctness_diagonal_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5264778Z   test_schema_correctness_diagonal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5264965Z   test_schema_correctness_diagonal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5265154Z   test_schema_correctness_diagonal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5265346Z   test_schema_correctness_diagonal_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5265534Z   test_schema_correctness_diagonal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5265726Z   test_schema_correctness_diagonal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5265916Z   test_schema_correctness_diagonal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5266093Z   test_schema_correctness_diagonal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5266277Z   test_schema_correctness_diagonal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5266462Z   test_schema_correctness_diagonal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5266650Z   test_schema_correctness_diagonal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5266835Z   test_schema_correctness_diagonal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5267015Z   test_schema_correctness_diagonal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5267218Z   test_schema_correctness_diagonal_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5267415Z   test_schema_correctness_diagonal_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5267611Z   test_schema_correctness_diagonal_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5267811Z   test_schema_correctness_diagonal_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5268001Z   test_schema_correctness_diagonal_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5268198Z   test_schema_correctness_diagonal_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5268395Z   test_schema_correctness_diagonal_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5268592Z   test_schema_correctness_diagonal_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5268784Z   test_schema_correctness_diagonal_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5268976Z   test_schema_correctness_diagonal_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5269164Z   test_schema_correctness_diff_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.322s)
2022-11-23T01:40:48.5269346Z   test_schema_correctness_diff_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.310s)
2022-11-23T01:40:48.5269560Z   test_schema_correctness_diff_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.342s)
2022-11-23T01:40:48.5269740Z   test_schema_correctness_diff_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.343s)
2022-11-23T01:40:48.5269925Z   test_schema_correctness_diff_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.320s)
2022-11-23T01:40:48.5270207Z   test_schema_correctness_diff_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.320s)
2022-11-23T01:40:48.5270409Z   test_schema_correctness_diff_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.319s)
2022-11-23T01:40:48.5270590Z   test_schema_correctness_diff_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.313s)
2022-11-23T01:40:48.5270768Z   test_schema_correctness_diff_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.310s)
2022-11-23T01:40:48.5270944Z   test_schema_correctness_diff_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.311s)
2022-11-23T01:40:48.5271124Z   test_schema_correctness_diff_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.312s)
2022-11-23T01:40:48.5271303Z   test_schema_correctness_diff_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.313s)
2022-11-23T01:40:48.5271481Z   test_schema_correctness_digamma_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5271674Z   test_schema_correctness_digamma_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5271861Z   test_schema_correctness_digamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5272047Z   test_schema_correctness_digamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5272230Z   test_schema_correctness_digamma_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5272412Z   test_schema_correctness_digamma_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5272594Z   test_schema_correctness_digamma_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5272773Z   test_schema_correctness_digamma_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5272943Z   test_schema_correctness_digamma_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5273124Z   test_schema_correctness_dist_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5273310Z   test_schema_correctness_dist_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5273500Z   test_schema_correctness_dist_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5273682Z   test_schema_correctness_dist_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5273859Z   test_schema_correctness_dist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5274037Z   test_schema_correctness_dist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5274240Z   test_schema_correctness_div_floor_rounding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5274436Z   test_schema_correctness_div_floor_rounding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5274631Z   test_schema_correctness_div_floor_rounding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5274813Z   test_schema_correctness_div_floor_rounding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5275009Z   test_schema_correctness_div_floor_rounding_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5275205Z   test_schema_correctness_div_floor_rounding_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5275431Z   test_schema_correctness_div_floor_rounding_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5275630Z   test_schema_correctness_div_floor_rounding_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5275821Z   test_schema_correctness_div_floor_rounding_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5276044Z   test_schema_correctness_div_no_rounding_mode_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5276241Z   test_schema_correctness_div_no_rounding_mode_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5276444Z   test_schema_correctness_div_no_rounding_mode_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5276640Z   test_schema_correctness_div_no_rounding_mode_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5276838Z   test_schema_correctness_div_no_rounding_mode_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5277038Z   test_schema_correctness_div_no_rounding_mode_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5277230Z   test_schema_correctness_div_no_rounding_mode_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5277433Z   test_schema_correctness_div_no_rounding_mode_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5277625Z   test_schema_correctness_div_no_rounding_mode_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5277814Z   test_schema_correctness_div_no_rounding_mode_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5278000Z   test_schema_correctness_div_no_rounding_mode_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5278198Z   test_schema_correctness_div_no_rounding_mode_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5278388Z   test_schema_correctness_div_no_rounding_mode_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5278587Z   test_schema_correctness_div_trunc_rounding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5278782Z   test_schema_correctness_div_trunc_rounding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5278978Z   test_schema_correctness_div_trunc_rounding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5279167Z   test_schema_correctness_div_trunc_rounding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5279360Z   test_schema_correctness_div_trunc_rounding_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5279560Z   test_schema_correctness_div_trunc_rounding_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5279752Z   test_schema_correctness_div_trunc_rounding_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5279944Z   test_schema_correctness_div_trunc_rounding_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5280140Z   test_schema_correctness_div_trunc_rounding_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5280317Z   test_schema_correctness_dot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5280517Z   test_schema_correctness_dot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5280715Z   test_schema_correctness_dot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5280897Z   test_schema_correctness_dot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5281119Z   test_schema_correctness_dot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5281298Z   test_schema_correctness_dot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5281485Z   test_schema_correctness_double_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5281693Z   test_schema_correctness_double_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5281885Z   test_schema_correctness_double_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5282067Z   test_schema_correctness_double_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5282258Z   test_schema_correctness_double_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5282449Z   test_schema_correctness_double_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5282635Z   test_schema_correctness_double_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5282819Z   test_schema_correctness_double_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5283009Z   test_schema_correctness_double_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5283187Z   test_schema_correctness_double_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5283370Z   test_schema_correctness_double_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5283549Z   test_schema_correctness_double_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5283720Z   test_schema_correctness_double_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5283912Z   test_schema_correctness_dsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5284093Z   test_schema_correctness_dsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5284283Z   test_schema_correctness_dsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5284472Z   test_schema_correctness_dsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5284660Z   test_schema_correctness_dsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5284846Z   test_schema_correctness_dsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285033Z   test_schema_correctness_dsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285215Z   test_schema_correctness_dsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285389Z   test_schema_correctness_dsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285566Z   test_schema_correctness_dsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285744Z   test_schema_correctness_dsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5285926Z   test_schema_correctness_dsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5286105Z   test_schema_correctness_dsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5286294Z   test_schema_correctness_dstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5286476Z   test_schema_correctness_dstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5286670Z   test_schema_correctness_dstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5286871Z   test_schema_correctness_dstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5287065Z   test_schema_correctness_dstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5287251Z   test_schema_correctness_dstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5287456Z   test_schema_correctness_dstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5287642Z   test_schema_correctness_dstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5287826Z   test_schema_correctness_dstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5288003Z   test_schema_correctness_dstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5288177Z   test_schema_correctness_dstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5288358Z   test_schema_correctness_dstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5288526Z   test_schema_correctness_dstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5288713Z   test_schema_correctness_einsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5288901Z   test_schema_correctness_einsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5289089Z   test_schema_correctness_einsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5289274Z   test_schema_correctness_einsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5289460Z   test_schema_correctness_einsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5289645Z   test_schema_correctness_einsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5289823Z   test_schema_correctness_empty_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5290009Z   test_schema_correctness_empty_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5290192Z   test_schema_correctness_empty_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5290385Z   test_schema_correctness_empty_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5290571Z   test_schema_correctness_empty_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5290756Z   test_schema_correctness_empty_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5290939Z   test_schema_correctness_empty_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5291125Z   test_schema_correctness_empty_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5291309Z   test_schema_correctness_empty_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5291485Z   test_schema_correctness_empty_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5291672Z   test_schema_correctness_empty_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5291846Z   test_schema_correctness_empty_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5292025Z   test_schema_correctness_empty_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5292221Z   test_schema_correctness_empty_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5292408Z   test_schema_correctness_empty_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5292633Z   test_schema_correctness_empty_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5292829Z   test_schema_correctness_empty_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5293025Z   test_schema_correctness_empty_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5293239Z   test_schema_correctness_empty_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5293430Z   test_schema_correctness_empty_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5293612Z   test_schema_correctness_empty_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5293804Z   test_schema_correctness_empty_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5293997Z   test_schema_correctness_empty_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5294182Z   test_schema_correctness_empty_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5294373Z   test_schema_correctness_empty_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5294566Z   test_schema_correctness_empty_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5294744Z   test_schema_correctness_eq_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5294924Z   test_schema_correctness_eq_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5295111Z   test_schema_correctness_eq_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5295287Z   test_schema_correctness_eq_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5295472Z   test_schema_correctness_eq_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5295654Z   test_schema_correctness_eq_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5295834Z   test_schema_correctness_eq_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5296012Z   test_schema_correctness_eq_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5296195Z   test_schema_correctness_eq_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5296373Z   test_schema_correctness_eq_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5296552Z   test_schema_correctness_eq_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5296729Z   test_schema_correctness_eq_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5296901Z   test_schema_correctness_eq_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5297087Z   test_schema_correctness_equal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5297267Z   test_schema_correctness_equal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5297459Z   test_schema_correctness_equal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5297647Z   test_schema_correctness_equal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5297835Z   test_schema_correctness_equal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5298014Z   test_schema_correctness_equal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5298198Z   test_schema_correctness_equal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5298405Z   test_schema_correctness_equal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5298575Z   test_schema_correctness_equal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5298751Z   test_schema_correctness_equal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5299089Z   test_schema_correctness_equal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5299270Z   test_schema_correctness_equal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5299456Z   test_schema_correctness_erf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5299635Z   test_schema_correctness_erf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5299819Z   test_schema_correctness_erf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300002Z   test_schema_correctness_erf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300189Z   test_schema_correctness_erf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300357Z   test_schema_correctness_erf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300542Z   test_schema_correctness_erf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300722Z   test_schema_correctness_erf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5300902Z   test_schema_correctness_erf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5301078Z   test_schema_correctness_erf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5301265Z   test_schema_correctness_erfc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5301453Z   test_schema_correctness_erfc_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5301638Z   test_schema_correctness_erfc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5301809Z   test_schema_correctness_erfc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5301997Z   test_schema_correctness_erfc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5302179Z   test_schema_correctness_erfc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5302355Z   test_schema_correctness_erfc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5302530Z   test_schema_correctness_erfc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5302707Z   test_schema_correctness_erfc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5302890Z   test_schema_correctness_erfc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5303072Z   test_schema_correctness_erfinv_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5303261Z   test_schema_correctness_erfinv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5303441Z   test_schema_correctness_erfinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5303629Z   test_schema_correctness_erfinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5303812Z   test_schema_correctness_erfinv_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5303992Z   test_schema_correctness_erfinv_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5304169Z   test_schema_correctness_erfinv_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5304419Z   test_schema_correctness_erfinv_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5304599Z   test_schema_correctness_erfinv_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5304788Z   test_schema_correctness_exp2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5305010Z   test_schema_correctness_exp2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5305185Z   test_schema_correctness_exp2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5305364Z   test_schema_correctness_exp2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5305542Z   test_schema_correctness_exp2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5305723Z   test_schema_correctness_exp2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5305906Z   test_schema_correctness_exp2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306082Z   test_schema_correctness_exp2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306259Z   test_schema_correctness_exp2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306439Z   test_schema_correctness_exp2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306621Z   test_schema_correctness_exp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306792Z   test_schema_correctness_exp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5306980Z   test_schema_correctness_exp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5307167Z   test_schema_correctness_exp_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5307356Z   test_schema_correctness_exp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5307538Z   test_schema_correctness_exp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5307716Z   test_schema_correctness_exp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5307895Z   test_schema_correctness_exp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308076Z   test_schema_correctness_exp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308256Z   test_schema_correctness_exp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308427Z   test_schema_correctness_exp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308607Z   test_schema_correctness_exp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308784Z   test_schema_correctness_exp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5308979Z   test_schema_correctness_expand_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5309167Z   test_schema_correctness_expand_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5309367Z   test_schema_correctness_expand_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5309562Z   test_schema_correctness_expand_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5309752Z   test_schema_correctness_expand_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5309943Z   test_schema_correctness_expand_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5310230Z   test_schema_correctness_expand_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5310440Z   test_schema_correctness_expand_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5310630Z   test_schema_correctness_expand_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5310842Z   test_schema_correctness_expand_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311028Z   test_schema_correctness_expand_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311208Z   test_schema_correctness_expand_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311394Z   test_schema_correctness_expand_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311582Z   test_schema_correctness_expand_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311773Z   test_schema_correctness_expand_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5311957Z   test_schema_correctness_expand_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5312145Z   test_schema_correctness_expand_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5312334Z   test_schema_correctness_expand_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5312522Z   test_schema_correctness_expand_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5312707Z   test_schema_correctness_expand_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5312888Z   test_schema_correctness_expand_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5313075Z   test_schema_correctness_expand_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5313258Z   test_schema_correctness_expand_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5313432Z   test_schema_correctness_expand_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5313616Z   test_schema_correctness_expm1_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5313802Z   test_schema_correctness_expm1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5313986Z   test_schema_correctness_expm1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5314166Z   test_schema_correctness_expm1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5314345Z   test_schema_correctness_expm1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5314526Z   test_schema_correctness_expm1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5314705Z   test_schema_correctness_expm1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5314887Z   test_schema_correctness_expm1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5315058Z   test_schema_correctness_expm1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5315238Z   test_schema_correctness_expm1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5315422Z   test_schema_correctness_eye_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5315605Z   test_schema_correctness_eye_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T01:40:48.5315791Z   test_schema_correctness_eye_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5315977Z   test_schema_correctness_eye_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T01:40:48.5316179Z   test_schema_correctness_eye_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T01:40:48.5316358Z   test_schema_correctness_eye_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T01:40:48.5316532Z   test_schema_correctness_eye_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5316727Z   test_schema_correctness_eye_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5316909Z   test_schema_correctness_eye_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5317085Z   test_schema_correctness_eye_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5317264Z   test_schema_correctness_eye_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5317441Z   test_schema_correctness_eye_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5317628Z   test_schema_correctness_fft_fft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5317825Z   test_schema_correctness_fft_fft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5318017Z   test_schema_correctness_fft_fft2_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5318211Z   test_schema_correctness_fft_fft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5318390Z   test_schema_correctness_fft_fft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5318572Z   test_schema_correctness_fft_fft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5318759Z   test_schema_correctness_fft_fft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5318944Z   test_schema_correctness_fft_fft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5319130Z   test_schema_correctness_fft_fft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5319313Z   test_schema_correctness_fft_fft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5319496Z   test_schema_correctness_fft_fft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5319675Z   test_schema_correctness_fft_fft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5319859Z   test_schema_correctness_fft_fft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5320043Z   test_schema_correctness_fft_fft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5320234Z   test_schema_correctness_fft_fft_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5320421Z   test_schema_correctness_fft_fft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5320608Z   test_schema_correctness_fft_fft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5320794Z   test_schema_correctness_fft_fft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5320988Z   test_schema_correctness_fft_fft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5321170Z   test_schema_correctness_fft_fft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5321347Z   test_schema_correctness_fft_fft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5321523Z   test_schema_correctness_fft_fft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5321696Z   test_schema_correctness_fft_fft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5321918Z   test_schema_correctness_fft_fft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5322105Z   test_schema_correctness_fft_fftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5322297Z   test_schema_correctness_fft_fftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5322511Z   test_schema_correctness_fft_fftn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5322700Z   test_schema_correctness_fft_fftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5322891Z   test_schema_correctness_fft_fftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5323075Z   test_schema_correctness_fft_fftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5323268Z   test_schema_correctness_fft_fftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5323443Z   test_schema_correctness_fft_fftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5323627Z   test_schema_correctness_fft_fftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5323815Z   test_schema_correctness_fft_fftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5323996Z   test_schema_correctness_fft_fftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5324176Z   test_schema_correctness_fft_fftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5324372Z   test_schema_correctness_fft_fftshift_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5324562Z   test_schema_correctness_fft_fftshift_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5324765Z   test_schema_correctness_fft_fftshift_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5324963Z   test_schema_correctness_fft_fftshift_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5325152Z   test_schema_correctness_fft_fftshift_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5325347Z   test_schema_correctness_fft_fftshift_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5325538Z   test_schema_correctness_fft_fftshift_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5325732Z   test_schema_correctness_fft_fftshift_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5325922Z   test_schema_correctness_fft_fftshift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5326115Z   test_schema_correctness_fft_fftshift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5326302Z   test_schema_correctness_fft_fftshift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5326490Z   test_schema_correctness_fft_fftshift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5326681Z   test_schema_correctness_fft_fftshift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5326877Z   test_schema_correctness_fft_hfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5327092Z   test_schema_correctness_fft_hfft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5327302Z   test_schema_correctness_fft_hfft2_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5327502Z   test_schema_correctness_fft_hfft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5327730Z   test_schema_correctness_fft_hfft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5327929Z   test_schema_correctness_fft_hfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5328143Z   test_schema_correctness_fft_hfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5328343Z   test_schema_correctness_fft_hfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5328535Z   test_schema_correctness_fft_hfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5328728Z   test_schema_correctness_fft_hfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5328918Z   test_schema_correctness_fft_hfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5329124Z   test_schema_correctness_fft_hfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5329310Z   test_schema_correctness_fft_hfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5329519Z   test_schema_correctness_fft_hfft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5329715Z   test_schema_correctness_fft_hfft_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5329921Z   test_schema_correctness_fft_hfft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5330113Z   test_schema_correctness_fft_hfft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5330300Z   test_schema_correctness_fft_hfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5330489Z   test_schema_correctness_fft_hfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5330667Z   test_schema_correctness_fft_hfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5330854Z   test_schema_correctness_fft_hfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5331043Z   test_schema_correctness_fft_hfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5331227Z   test_schema_correctness_fft_hfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5331411Z   test_schema_correctness_fft_hfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5331613Z   test_schema_correctness_fft_hfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5331820Z   test_schema_correctness_fft_hfftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5332028Z   test_schema_correctness_fft_hfftn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5332233Z   test_schema_correctness_fft_hfftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5332428Z   test_schema_correctness_fft_hfftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5332626Z   test_schema_correctness_fft_hfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5332817Z   test_schema_correctness_fft_hfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5333012Z   test_schema_correctness_fft_hfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5333210Z   test_schema_correctness_fft_hfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5333427Z   test_schema_correctness_fft_hfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5333626Z   test_schema_correctness_fft_hfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5333849Z   test_schema_correctness_fft_hfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5334038Z   test_schema_correctness_fft_ifft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5334235Z   test_schema_correctness_fft_ifft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5334422Z   test_schema_correctness_fft_ifft2_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5334614Z   test_schema_correctness_fft_ifft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5334804Z   test_schema_correctness_fft_ifft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5334993Z   test_schema_correctness_fft_ifft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5335179Z   test_schema_correctness_fft_ifft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5335371Z   test_schema_correctness_fft_ifft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5335557Z   test_schema_correctness_fft_ifft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5335742Z   test_schema_correctness_fft_ifft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5335930Z   test_schema_correctness_fft_ifft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5336109Z   test_schema_correctness_fft_ifft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5336294Z   test_schema_correctness_fft_ifft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5336489Z   test_schema_correctness_fft_ifft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5336685Z   test_schema_correctness_fft_ifft_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5336877Z   test_schema_correctness_fft_ifft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5337065Z   test_schema_correctness_fft_ifft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5337253Z   test_schema_correctness_fft_ifft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5337440Z   test_schema_correctness_fft_ifft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5337629Z   test_schema_correctness_fft_ifft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5337805Z   test_schema_correctness_fft_ifft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5337992Z   test_schema_correctness_fft_ifft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5338177Z   test_schema_correctness_fft_ifft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5338361Z   test_schema_correctness_fft_ifft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5338540Z   test_schema_correctness_fft_ifftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5338737Z   test_schema_correctness_fft_ifftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5339204Z   test_schema_correctness_fft_ifftn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5339488Z   test_schema_correctness_fft_ifftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5339679Z   test_schema_correctness_fft_ifftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5339857Z   test_schema_correctness_fft_ifftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5340085Z   test_schema_correctness_fft_ifftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5340272Z   test_schema_correctness_fft_ifftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5340457Z   test_schema_correctness_fft_ifftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5340637Z   test_schema_correctness_fft_ifftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5340824Z   test_schema_correctness_fft_ifftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5341010Z   test_schema_correctness_fft_ifftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5341206Z   test_schema_correctness_fft_ifftshift_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5341405Z   test_schema_correctness_fft_ifftshift_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5341596Z   test_schema_correctness_fft_ifftshift_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5341797Z   test_schema_correctness_fft_ifftshift_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5341998Z   test_schema_correctness_fft_ifftshift_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5342193Z   test_schema_correctness_fft_ifftshift_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5342390Z   test_schema_correctness_fft_ifftshift_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5342584Z   test_schema_correctness_fft_ifftshift_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5342775Z   test_schema_correctness_fft_ifftshift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5342969Z   test_schema_correctness_fft_ifftshift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5343156Z   test_schema_correctness_fft_ifftshift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5343337Z   test_schema_correctness_fft_ifftshift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5343530Z   test_schema_correctness_fft_ifftshift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5343719Z   test_schema_correctness_fft_ihfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5343911Z   test_schema_correctness_fft_ihfft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5344103Z   test_schema_correctness_fft_ihfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5344292Z   test_schema_correctness_fft_ihfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5344479Z   test_schema_correctness_fft_ihfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5344665Z   test_schema_correctness_fft_ihfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5344855Z   test_schema_correctness_fft_ihfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5345036Z   test_schema_correctness_fft_ihfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5345246Z   test_schema_correctness_fft_ihfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5345436Z   test_schema_correctness_fft_ihfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5345625Z   test_schema_correctness_fft_ihfft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5345839Z   test_schema_correctness_fft_ihfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5346025Z   test_schema_correctness_fft_ihfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5346210Z   test_schema_correctness_fft_ihfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5346395Z   test_schema_correctness_fft_ihfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5346582Z   test_schema_correctness_fft_ihfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5346762Z   test_schema_correctness_fft_ihfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5346944Z   test_schema_correctness_fft_ihfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5347128Z   test_schema_correctness_fft_ihfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5347320Z   test_schema_correctness_fft_ihfftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5347506Z   test_schema_correctness_fft_ihfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5347691Z   test_schema_correctness_fft_ihfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5347878Z   test_schema_correctness_fft_ihfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5348060Z   test_schema_correctness_fft_ihfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5348243Z   test_schema_correctness_fft_ihfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5348420Z   test_schema_correctness_fft_ihfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5348610Z   test_schema_correctness_fft_ihfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5348797Z   test_schema_correctness_fft_irfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5348993Z   test_schema_correctness_fft_irfft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5349187Z   test_schema_correctness_fft_irfft2_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5349382Z   test_schema_correctness_fft_irfft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5349572Z   test_schema_correctness_fft_irfft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5349759Z   test_schema_correctness_fft_irfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5349946Z   test_schema_correctness_fft_irfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5350208Z   test_schema_correctness_fft_irfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5350413Z   test_schema_correctness_fft_irfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5350617Z   test_schema_correctness_fft_irfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5350826Z   test_schema_correctness_fft_irfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5351040Z   test_schema_correctness_fft_irfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5351229Z   test_schema_correctness_fft_irfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5351426Z   test_schema_correctness_fft_irfft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5351646Z   test_schema_correctness_fft_irfft_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5351837Z   test_schema_correctness_fft_irfft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5352017Z   test_schema_correctness_fft_irfft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5352204Z   test_schema_correctness_fft_irfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5352392Z   test_schema_correctness_fft_irfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5352583Z   test_schema_correctness_fft_irfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5352763Z   test_schema_correctness_fft_irfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5352946Z   test_schema_correctness_fft_irfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5353132Z   test_schema_correctness_fft_irfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5353315Z   test_schema_correctness_fft_irfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5353494Z   test_schema_correctness_fft_irfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5353681Z   test_schema_correctness_fft_irfftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5353876Z   test_schema_correctness_fft_irfftn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5354073Z   test_schema_correctness_fft_irfftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5354266Z   test_schema_correctness_fft_irfftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5354462Z   test_schema_correctness_fft_irfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5354654Z   test_schema_correctness_fft_irfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5354841Z   test_schema_correctness_fft_irfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5355026Z   test_schema_correctness_fft_irfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5355211Z   test_schema_correctness_fft_irfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5355387Z   test_schema_correctness_fft_irfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5355573Z   test_schema_correctness_fft_irfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5355758Z   test_schema_correctness_fft_rfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5355951Z   test_schema_correctness_fft_rfft2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5356139Z   test_schema_correctness_fft_rfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5356325Z   test_schema_correctness_fft_rfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5356512Z   test_schema_correctness_fft_rfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5356697Z   test_schema_correctness_fft_rfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5356904Z   test_schema_correctness_fft_rfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5357082Z   test_schema_correctness_fft_rfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5357263Z   test_schema_correctness_fft_rfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5357473Z   test_schema_correctness_fft_rfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5357661Z   test_schema_correctness_fft_rfft_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5357845Z   test_schema_correctness_fft_rfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5358026Z   test_schema_correctness_fft_rfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5358211Z   test_schema_correctness_fft_rfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5358395Z   test_schema_correctness_fft_rfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5358580Z   test_schema_correctness_fft_rfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5358758Z   test_schema_correctness_fft_rfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5358944Z   test_schema_correctness_fft_rfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5359125Z   test_schema_correctness_fft_rfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5359314Z   test_schema_correctness_fft_rfftn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5359499Z   test_schema_correctness_fft_rfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5359689Z   test_schema_correctness_fft_rfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5359875Z   test_schema_correctness_fft_rfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5360059Z   test_schema_correctness_fft_rfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5360246Z   test_schema_correctness_fft_rfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5360419Z   test_schema_correctness_fft_rfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5360605Z   test_schema_correctness_fft_rfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5360786Z   test_schema_correctness_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5360967Z   test_schema_correctness_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5361153Z   test_schema_correctness_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5361337Z   test_schema_correctness_fill_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5361519Z   test_schema_correctness_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5361706Z   test_schema_correctness_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5361889Z   test_schema_correctness_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5362060Z   test_schema_correctness_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5362247Z   test_schema_correctness_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5362424Z   test_schema_correctness_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5362642Z   test_schema_correctness_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5362823Z   test_schema_correctness_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5363005Z   test_schema_correctness_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5363220Z   test_schema_correctness_flatten_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5363407Z   test_schema_correctness_flatten_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5363603Z   test_schema_correctness_flatten_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5363783Z   test_schema_correctness_flatten_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5363971Z   test_schema_correctness_flatten_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5364160Z   test_schema_correctness_flatten_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5364347Z   test_schema_correctness_flatten_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5364533Z   test_schema_correctness_flatten_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5364720Z   test_schema_correctness_flatten_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5364901Z   test_schema_correctness_flatten_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5365078Z   test_schema_correctness_flatten_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5365262Z   test_schema_correctness_flatten_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5365440Z   test_schema_correctness_flatten_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5365622Z   test_schema_correctness_flip_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5365802Z   test_schema_correctness_flip_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5365995Z   test_schema_correctness_flip_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5366183Z   test_schema_correctness_flip_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5366367Z   test_schema_correctness_flip_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5366545Z   test_schema_correctness_flip_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5366724Z   test_schema_correctness_flip_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5366907Z   test_schema_correctness_flip_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5367074Z   test_schema_correctness_flip_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5367256Z   test_schema_correctness_flip_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5367442Z   test_schema_correctness_flip_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5367620Z   test_schema_correctness_flip_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5367806Z   test_schema_correctness_fliplr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5367991Z   test_schema_correctness_fliplr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5368182Z   test_schema_correctness_fliplr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5368394Z   test_schema_correctness_fliplr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5368581Z   test_schema_correctness_fliplr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5368760Z   test_schema_correctness_fliplr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5368970Z   test_schema_correctness_fliplr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5369154Z   test_schema_correctness_fliplr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5369331Z   test_schema_correctness_fliplr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5369513Z   test_schema_correctness_fliplr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5369693Z   test_schema_correctness_fliplr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5369875Z   test_schema_correctness_fliplr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370062Z   test_schema_correctness_flipud_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370243Z   test_schema_correctness_flipud_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370429Z   test_schema_correctness_flipud_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370618Z   test_schema_correctness_flipud_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370802Z   test_schema_correctness_flipud_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5370983Z   test_schema_correctness_flipud_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5371164Z   test_schema_correctness_flipud_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5371346Z   test_schema_correctness_flipud_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5371524Z   test_schema_correctness_flipud_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5371700Z   test_schema_correctness_flipud_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5371877Z   test_schema_correctness_flipud_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5372057Z   test_schema_correctness_flipud_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5372239Z   test_schema_correctness_float_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5372422Z   test_schema_correctness_float_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5372612Z   test_schema_correctness_float_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5372801Z   test_schema_correctness_float_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5372991Z   test_schema_correctness_float_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5373178Z   test_schema_correctness_float_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5373356Z   test_schema_correctness_float_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5373526Z   test_schema_correctness_float_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5373709Z   test_schema_correctness_float_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5373889Z   test_schema_correctness_float_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5374093Z   test_schema_correctness_float_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5374276Z   test_schema_correctness_float_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5374449Z   test_schema_correctness_float_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5374669Z   test_schema_correctness_float_power_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5374861Z   test_schema_correctness_float_power_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5375059Z   test_schema_correctness_float_power_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5375246Z   test_schema_correctness_float_power_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5375442Z   test_schema_correctness_float_power_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5375636Z   test_schema_correctness_float_power_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5375830Z   test_schema_correctness_float_power_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5376016Z   test_schema_correctness_float_power_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5376208Z   test_schema_correctness_float_power_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5376395Z   test_schema_correctness_float_power_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5376585Z   test_schema_correctness_float_power_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5376774Z   test_schema_correctness_float_power_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5376953Z   test_schema_correctness_floor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5377139Z   test_schema_correctness_floor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5377317Z   test_schema_correctness_floor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5377502Z   test_schema_correctness_floor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5377680Z   test_schema_correctness_floor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5377855Z   test_schema_correctness_floor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5378031Z   test_schema_correctness_floor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5378211Z   test_schema_correctness_floor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5378397Z   test_schema_correctness_floor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5378583Z   test_schema_correctness_floor_divide_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5378902Z   test_schema_correctness_floor_divide_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5379105Z   test_schema_correctness_floor_divide_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5379299Z   test_schema_correctness_floor_divide_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5379490Z   test_schema_correctness_floor_divide_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5379679Z   test_schema_correctness_floor_divide_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5379862Z   test_schema_correctness_floor_divide_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5380096Z   test_schema_correctness_floor_divide_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5380284Z   test_schema_correctness_floor_divide_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5380458Z   test_schema_correctness_fmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5380667Z   test_schema_correctness_fmax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5380854Z   test_schema_correctness_fmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381035Z   test_schema_correctness_fmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381222Z   test_schema_correctness_fmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381405Z   test_schema_correctness_fmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381586Z   test_schema_correctness_fmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381763Z   test_schema_correctness_fmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5381944Z   test_schema_correctness_fmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5382119Z   test_schema_correctness_fmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5382298Z   test_schema_correctness_fmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5382476Z   test_schema_correctness_fmin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5382658Z   test_schema_correctness_fmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5382836Z   test_schema_correctness_fmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5383021Z   test_schema_correctness_fmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5383196Z   test_schema_correctness_fmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5383370Z   test_schema_correctness_fmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5383545Z   test_schema_correctness_fmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5383713Z   test_schema_correctness_fmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5383891Z   test_schema_correctness_fmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5384078Z   test_schema_correctness_fmod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5384256Z   test_schema_correctness_fmod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5384435Z   test_schema_correctness_fmod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5384614Z   test_schema_correctness_fmod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5384791Z   test_schema_correctness_fmod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5384969Z   test_schema_correctness_fmod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5385142Z   test_schema_correctness_fmod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5385309Z   test_schema_correctness_fmod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5385491Z   test_schema_correctness_fmod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5385671Z   test_schema_correctness_frac_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5385897Z   test_schema_correctness_frac_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5386077Z   test_schema_correctness_frac_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5386253Z   test_schema_correctness_frac_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5386460Z   test_schema_correctness_frexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5386641Z   test_schema_correctness_frexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5386819Z   test_schema_correctness_frexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5386989Z   test_schema_correctness_full_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5387170Z   test_schema_correctness_full_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5387361Z   test_schema_correctness_full_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5387548Z   test_schema_correctness_full_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5387733Z   test_schema_correctness_full_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5387910Z   test_schema_correctness_full_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388091Z   test_schema_correctness_full_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388267Z   test_schema_correctness_full_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388444Z   test_schema_correctness_full_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388613Z   test_schema_correctness_full_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388785Z   test_schema_correctness_full_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5388963Z   test_schema_correctness_full_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5389144Z   test_schema_correctness_full_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5389334Z   test_schema_correctness_full_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T01:40:48.5389517Z   test_schema_correctness_full_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5389710Z   test_schema_correctness_full_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5389902Z   test_schema_correctness_full_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5390088Z   test_schema_correctness_full_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5390349Z   test_schema_correctness_full_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5390557Z   test_schema_correctness_full_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5390768Z   test_schema_correctness_full_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5390974Z   test_schema_correctness_full_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5391157Z   test_schema_correctness_full_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5391337Z   test_schema_correctness_full_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5391521Z   test_schema_correctness_full_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5391734Z   test_schema_correctness_gather_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5391922Z   test_schema_correctness_gather_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5392106Z   test_schema_correctness_gather_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5392317Z   test_schema_correctness_gather_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5392502Z   test_schema_correctness_gather_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5392687Z   test_schema_correctness_gather_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5392871Z   test_schema_correctness_gather_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5393054Z   test_schema_correctness_gather_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5393239Z   test_schema_correctness_gather_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5393417Z   test_schema_correctness_gather_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5393594Z   test_schema_correctness_gather_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5393771Z   test_schema_correctness_gather_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5393948Z   test_schema_correctness_gcd_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5394127Z   test_schema_correctness_gcd_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5394304Z   test_schema_correctness_gcd_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5394482Z   test_schema_correctness_gcd_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5394664Z   test_schema_correctness_gcd_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5394846Z   test_schema_correctness_ge_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395028Z   test_schema_correctness_ge_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395200Z   test_schema_correctness_ge_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395375Z   test_schema_correctness_ge_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395550Z   test_schema_correctness_ge_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395724Z   test_schema_correctness_ge_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5395905Z   test_schema_correctness_ge_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5396085Z   test_schema_correctness_ge_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5396260Z   test_schema_correctness_ge_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5396437Z   test_schema_correctness_ge_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5396631Z   test_schema_correctness_geqrf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T01:40:48.5396810Z   test_schema_correctness_geqrf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5396991Z   test_schema_correctness_geqrf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5397170Z   test_schema_correctness_geqrf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5397385Z   test_schema_correctness_gradient_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.238s)
2022-11-23T01:40:48.5397580Z   test_schema_correctness_gradient_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.280s)
2022-11-23T01:40:48.5397770Z   test_schema_correctness_gradient_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.268s)
2022-11-23T01:40:48.5397986Z   test_schema_correctness_gradient_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.256s)
2022-11-23T01:40:48.5398175Z   test_schema_correctness_gradient_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.260s)
2022-11-23T01:40:48.5398362Z   test_schema_correctness_gradient_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T01:40:48.5398538Z   test_schema_correctness_gradient_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T01:40:48.5398726Z   test_schema_correctness_gradient_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.224s)
2022-11-23T01:40:48.5398907Z   test_schema_correctness_gradient_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.231s)
2022-11-23T01:40:48.5399090Z   test_schema_correctness_gradient_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.246s)
2022-11-23T01:40:48.5399284Z   test_schema_correctness_grid_sampler_2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5399482Z   test_schema_correctness_grid_sampler_2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5399677Z   test_schema_correctness_grid_sampler_2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5399859Z   test_schema_correctness_gt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5400037Z   test_schema_correctness_gt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5400211Z   test_schema_correctness_gt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5400392Z   test_schema_correctness_gt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5400568Z   test_schema_correctness_gt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5400745Z   test_schema_correctness_gt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5400924Z   test_schema_correctness_gt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5401099Z   test_schema_correctness_gt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5401275Z   test_schema_correctness_gt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5401446Z   test_schema_correctness_gt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5401631Z   test_schema_correctness_half_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5401807Z   test_schema_correctness_half_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5401994Z   test_schema_correctness_half_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5402178Z   test_schema_correctness_half_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5402362Z   test_schema_correctness_half_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5402540Z   test_schema_correctness_half_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5402716Z   test_schema_correctness_half_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5402894Z   test_schema_correctness_half_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5403071Z   test_schema_correctness_half_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5403280Z   test_schema_correctness_half_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5403454Z   test_schema_correctness_half_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5403635Z   test_schema_correctness_half_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5403851Z   test_schema_correctness_heaviside_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5404039Z   test_schema_correctness_heaviside_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5404228Z   test_schema_correctness_heaviside_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5404418Z   test_schema_correctness_heaviside_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5404609Z   test_schema_correctness_heaviside_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5404798Z   test_schema_correctness_heaviside_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5404979Z   test_schema_correctness_heaviside_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5405160Z   test_schema_correctness_heaviside_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5405347Z   test_schema_correctness_heaviside_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5405532Z   test_schema_correctness_heaviside_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5405716Z   test_schema_correctness_histc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5405899Z   test_schema_correctness_histc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T01:40:48.5406081Z   test_schema_correctness_histc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T01:40:48.5406257Z   test_schema_correctness_histc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T01:40:48.5406428Z   test_schema_correctness_histc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T01:40:48.5406604Z   test_schema_correctness_histc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5406791Z   test_schema_correctness_hsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5406966Z   test_schema_correctness_hsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5407157Z   test_schema_correctness_hsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5407347Z   test_schema_correctness_hsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5407538Z   test_schema_correctness_hsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5407721Z   test_schema_correctness_hsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5407904Z   test_schema_correctness_hsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5408091Z   test_schema_correctness_hsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5408269Z   test_schema_correctness_hsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5408446Z   test_schema_correctness_hsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5408629Z   test_schema_correctness_hsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5408805Z   test_schema_correctness_hsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5409004Z   test_schema_correctness_hsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5409192Z   test_schema_correctness_hstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5409375Z   test_schema_correctness_hstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5409587Z   test_schema_correctness_hstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5409776Z   test_schema_correctness_hstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5409955Z   test_schema_correctness_hstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5410139Z   test_schema_correctness_hstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5410320Z   test_schema_correctness_hstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5410499Z   test_schema_correctness_hstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5410679Z   test_schema_correctness_hstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5410857Z   test_schema_correctness_hstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5411031Z   test_schema_correctness_hstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5411210Z   test_schema_correctness_hstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5411388Z   test_schema_correctness_hstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5411561Z   test_schema_correctness_hypot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5411747Z   test_schema_correctness_hypot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5411929Z   test_schema_correctness_hypot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5412109Z   test_schema_correctness_hypot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5412292Z   test_schema_correctness_i0_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5412468Z   test_schema_correctness_i0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5412649Z   test_schema_correctness_i0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5412824Z   test_schema_correctness_i0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5413000Z   test_schema_correctness_i0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5413173Z   test_schema_correctness_i0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5413348Z   test_schema_correctness_i0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5413526Z   test_schema_correctness_i0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5413704Z   test_schema_correctness_i0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5413878Z   test_schema_correctness_i0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5414062Z   test_schema_correctness_igamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5414245Z   test_schema_correctness_igamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5414431Z   test_schema_correctness_igammac_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5414637Z   test_schema_correctness_igammac_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5414819Z   test_schema_correctness_imag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5415004Z   test_schema_correctness_imag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5415208Z   test_schema_correctness_imag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5415398Z   test_schema_correctness_index_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5415579Z   test_schema_correctness_index_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5415773Z   test_schema_correctness_index_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5415965Z   test_schema_correctness_index_add_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5416161Z   test_schema_correctness_index_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5416349Z   test_schema_correctness_index_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5416529Z   test_schema_correctness_index_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5416718Z   test_schema_correctness_index_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5416900Z   test_schema_correctness_index_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5417084Z   test_schema_correctness_index_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5417266Z   test_schema_correctness_index_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5417451Z   test_schema_correctness_index_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5417634Z   test_schema_correctness_index_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5417824Z   test_schema_correctness_index_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5418009Z   test_schema_correctness_index_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5418198Z   test_schema_correctness_index_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5418391Z   test_schema_correctness_index_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5418579Z   test_schema_correctness_index_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5418768Z   test_schema_correctness_index_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5419071Z   test_schema_correctness_index_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5419264Z   test_schema_correctness_index_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5419452Z   test_schema_correctness_index_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5419638Z   test_schema_correctness_index_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5419821Z   test_schema_correctness_index_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5420002Z   test_schema_correctness_index_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5420192Z   test_schema_correctness_index_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5420372Z   test_schema_correctness_index_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5420614Z   test_schema_correctness_index_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5420808Z   test_schema_correctness_index_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5420993Z   test_schema_correctness_index_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5421210Z   test_schema_correctness_index_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5421393Z   test_schema_correctness_index_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5421575Z   test_schema_correctness_index_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5421752Z   test_schema_correctness_index_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5421940Z   test_schema_correctness_index_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5422121Z   test_schema_correctness_index_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5422303Z   test_schema_correctness_index_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5422496Z   test_schema_correctness_index_put_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5422683Z   test_schema_correctness_index_put_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5422878Z   test_schema_correctness_index_put_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5423072Z   test_schema_correctness_index_put_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5423262Z   test_schema_correctness_index_put_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5423447Z   test_schema_correctness_index_put_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5423634Z   test_schema_correctness_index_put_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5423821Z   test_schema_correctness_index_put_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5424004Z   test_schema_correctness_index_put_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5424187Z   test_schema_correctness_index_put_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5424368Z   test_schema_correctness_index_put_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5424554Z   test_schema_correctness_index_put_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5424737Z   test_schema_correctness_index_put_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5425527Z   test_schema_correctness_index_reduce_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Indexing.cu:1047.)
2022-11-23T01:40:48.5425626Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5425692Z ok (0.036s)
2022-11-23T01:40:48.5425885Z   test_schema_correctness_index_reduce_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5426077Z   test_schema_correctness_index_reduce_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5426266Z   test_schema_correctness_index_reduce_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T01:40:48.5426485Z   test_schema_correctness_index_reduce_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5426679Z   test_schema_correctness_index_reduce_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5426865Z   test_schema_correctness_index_reduce_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5427078Z   test_schema_correctness_index_reduce_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5427257Z   test_schema_correctness_index_reduce_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5427451Z   test_schema_correctness_index_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5427635Z   test_schema_correctness_index_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5427832Z   test_schema_correctness_index_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5428030Z   test_schema_correctness_index_select_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5428224Z   test_schema_correctness_index_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5428414Z   test_schema_correctness_index_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5428608Z   test_schema_correctness_index_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5428794Z   test_schema_correctness_index_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5428979Z   test_schema_correctness_index_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5429160Z   test_schema_correctness_index_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5429347Z   test_schema_correctness_index_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5429534Z   test_schema_correctness_index_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5429718Z   test_schema_correctness_index_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5429906Z   test_schema_correctness_inner_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5430097Z   test_schema_correctness_inner_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5430357Z   test_schema_correctness_inner_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5430543Z   test_schema_correctness_inner_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5430723Z   test_schema_correctness_inner_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5430895Z   test_schema_correctness_inner_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5431081Z   test_schema_correctness_int_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5431262Z   test_schema_correctness_int_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5431448Z   test_schema_correctness_int_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5431632Z   test_schema_correctness_int_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5431813Z   test_schema_correctness_int_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5431987Z   test_schema_correctness_int_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5432167Z   test_schema_correctness_int_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5432380Z   test_schema_correctness_int_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5432554Z   test_schema_correctness_int_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5432734Z   test_schema_correctness_int_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5432938Z   test_schema_correctness_int_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5433114Z   test_schema_correctness_int_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5433304Z   test_schema_correctness_isclose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.106s)
2022-11-23T01:40:48.5433487Z   test_schema_correctness_isclose_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.113s)
2022-11-23T01:40:48.5433678Z   test_schema_correctness_isclose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.119s)
2022-11-23T01:40:48.5433869Z   test_schema_correctness_isclose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.108s)
2022-11-23T01:40:48.5434048Z   test_schema_correctness_isclose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.107s)
2022-11-23T01:40:48.5434233Z   test_schema_correctness_isclose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.114s)
2022-11-23T01:40:48.5434420Z   test_schema_correctness_isclose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T01:40:48.5434604Z   test_schema_correctness_isclose_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.118s)
2022-11-23T01:40:48.5434783Z   test_schema_correctness_isclose_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T01:40:48.5434961Z   test_schema_correctness_isclose_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T01:40:48.5435140Z   test_schema_correctness_isclose_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T01:40:48.5435320Z   test_schema_correctness_isclose_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.119s)
2022-11-23T01:40:48.5435508Z   test_schema_correctness_isfinite_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5435684Z   test_schema_correctness_isfinite_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5435876Z   test_schema_correctness_isfinite_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5436068Z   test_schema_correctness_isfinite_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5436256Z   test_schema_correctness_isfinite_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5436444Z   test_schema_correctness_isfinite_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5436632Z   test_schema_correctness_isfinite_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5436813Z   test_schema_correctness_isfinite_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5436998Z   test_schema_correctness_isfinite_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5437188Z   test_schema_correctness_isfinite_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5437366Z   test_schema_correctness_isfinite_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5437547Z   test_schema_correctness_isfinite_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5437728Z   test_schema_correctness_isfinite_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5437911Z   test_schema_correctness_isin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5438114Z   test_schema_correctness_isin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5438292Z   test_schema_correctness_isin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5438476Z   test_schema_correctness_isin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5438681Z   test_schema_correctness_isin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5438857Z   test_schema_correctness_isin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5439027Z   test_schema_correctness_isin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5439209Z   test_schema_correctness_isin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5439391Z   test_schema_correctness_isinf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5439569Z   test_schema_correctness_isinf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5439759Z   test_schema_correctness_isinf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5439947Z   test_schema_correctness_isinf_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5440136Z   test_schema_correctness_isinf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5440317Z   test_schema_correctness_isinf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5440500Z   test_schema_correctness_isinf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5440671Z   test_schema_correctness_isinf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5440851Z   test_schema_correctness_isinf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441028Z   test_schema_correctness_isinf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441201Z   test_schema_correctness_isinf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441378Z   test_schema_correctness_isinf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441560Z   test_schema_correctness_isinf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441742Z   test_schema_correctness_isnan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5441922Z   test_schema_correctness_isnan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5442109Z   test_schema_correctness_isnan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5442286Z   test_schema_correctness_isnan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5442470Z   test_schema_correctness_isnan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5442646Z   test_schema_correctness_isnan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5442826Z   test_schema_correctness_isnan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443004Z   test_schema_correctness_isnan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443183Z   test_schema_correctness_isnan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443358Z   test_schema_correctness_isnan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443535Z   test_schema_correctness_isnan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443710Z   test_schema_correctness_isnan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5443927Z   test_schema_correctness_isneginf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5444114Z   test_schema_correctness_isneginf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5444381Z   test_schema_correctness_isneginf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5444566Z   test_schema_correctness_isneginf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5444753Z   test_schema_correctness_isneginf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5444937Z   test_schema_correctness_isneginf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5445116Z   test_schema_correctness_isneginf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5445302Z   test_schema_correctness_isneginf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5445484Z   test_schema_correctness_isneginf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5445660Z   test_schema_correctness_isneginf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5445852Z   test_schema_correctness_isposinf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446034Z   test_schema_correctness_isposinf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446219Z   test_schema_correctness_isposinf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446408Z   test_schema_correctness_isposinf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446593Z   test_schema_correctness_isposinf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446777Z   test_schema_correctness_isposinf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5446955Z   test_schema_correctness_isposinf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5447139Z   test_schema_correctness_isposinf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5447319Z   test_schema_correctness_isposinf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5447499Z   test_schema_correctness_isposinf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5447686Z   test_schema_correctness_isreal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5447869Z   test_schema_correctness_isreal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5448059Z   test_schema_correctness_isreal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5448248Z   test_schema_correctness_isreal_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5448434Z   test_schema_correctness_isreal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5448612Z   test_schema_correctness_isreal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5448798Z   test_schema_correctness_isreal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5448971Z   test_schema_correctness_isreal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5449155Z   test_schema_correctness_isreal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5449333Z   test_schema_correctness_isreal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5449539Z   test_schema_correctness_isreal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5449727Z   test_schema_correctness_isreal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5449909Z   test_schema_correctness_isreal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T01:40:48.5450119Z   test_schema_correctness_istft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5450307Z   test_schema_correctness_istft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.331s)
2022-11-23T01:40:48.5450517Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T01:40:48.5450716Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5450928Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.143s)
2022-11-23T01:40:48.5451141Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.143s)
2022-11-23T01:40:48.5451349Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5451558Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5451759Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T01:40:48.5451965Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5452163Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5452368Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5452564Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5452767Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5452986Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5453193Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5453410Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5453624Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5453838Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5454050Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5454264Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5454474Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5454682Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5454882Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5455090Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5455324Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5455523Z   test_schema_correctness_jiterator_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5455741Z   test_schema_correctness_jiterator_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5455943Z   test_schema_correctness_jiterator_binary_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5456143Z   test_schema_correctness_jiterator_binary_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5456341Z   test_schema_correctness_jiterator_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5456539Z   test_schema_correctness_jiterator_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5456731Z   test_schema_correctness_jiterator_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5456927Z   test_schema_correctness_jiterator_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5457123Z   test_schema_correctness_jiterator_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5457311Z   test_schema_correctness_jiterator_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5457505Z   test_schema_correctness_jiterator_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5457698Z   test_schema_correctness_jiterator_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5457906Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5458117Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5458331Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5458544Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5458744Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5459163Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5459373Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5459583Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5459791Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5459997Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5460205Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5460404Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5460601Z   test_schema_correctness_jiterator_unary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5460789Z   test_schema_correctness_jiterator_unary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5461043Z   test_schema_correctness_jiterator_unary_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5461242Z   test_schema_correctness_jiterator_unary_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5461438Z   test_schema_correctness_jiterator_unary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5461671Z   test_schema_correctness_jiterator_unary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5461864Z   test_schema_correctness_jiterator_unary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5462057Z   test_schema_correctness_jiterator_unary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5462246Z   test_schema_correctness_jiterator_unary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5462439Z   test_schema_correctness_jiterator_unary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5462633Z   test_schema_correctness_jiterator_unary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5462815Z   test_schema_correctness_jiterator_unary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5463003Z   test_schema_correctness_kron_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5463184Z   test_schema_correctness_kron_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5463372Z   test_schema_correctness_kron_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5463558Z   test_schema_correctness_kron_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5463743Z   test_schema_correctness_kron_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5463929Z   test_schema_correctness_kron_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464107Z   test_schema_correctness_kron_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464289Z   test_schema_correctness_kron_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464460Z   test_schema_correctness_kron_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464633Z   test_schema_correctness_kron_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464812Z   test_schema_correctness_kron_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5464992Z   test_schema_correctness_kron_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5465181Z   test_schema_correctness_kthvalue_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5465371Z   test_schema_correctness_kthvalue_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5465557Z   test_schema_correctness_kthvalue_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5465740Z   test_schema_correctness_kthvalue_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5465929Z   test_schema_correctness_kthvalue_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5466106Z   test_schema_correctness_kthvalue_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5466295Z   test_schema_correctness_kthvalue_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5466481Z   test_schema_correctness_kthvalue_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5466659Z   test_schema_correctness_lcm_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5466864Z   test_schema_correctness_lcm_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5467045Z   test_schema_correctness_lcm_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5467224Z   test_schema_correctness_lcm_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5467426Z   test_schema_correctness_lcm_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5467605Z   test_schema_correctness_ldexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5467789Z   test_schema_correctness_ldexp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5467980Z   test_schema_correctness_ldexp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5468169Z   test_schema_correctness_ldexp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5468354Z   test_schema_correctness_ldexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5468536Z   test_schema_correctness_ldexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5468716Z   test_schema_correctness_ldexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5468900Z   test_schema_correctness_ldexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5469077Z   test_schema_correctness_ldexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5469245Z   test_schema_correctness_ldexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5469426Z   test_schema_correctness_ldexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5469610Z   test_schema_correctness_ldexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5469790Z   test_schema_correctness_le_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5469968Z   test_schema_correctness_le_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5470259Z   test_schema_correctness_le_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5470462Z   test_schema_correctness_le_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5470656Z   test_schema_correctness_le_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5470850Z   test_schema_correctness_le_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5471035Z   test_schema_correctness_le_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5471212Z   test_schema_correctness_le_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5471393Z   test_schema_correctness_le_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5471568Z   test_schema_correctness_le_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5471755Z   test_schema_correctness_lerp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5471945Z   test_schema_correctness_lerp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5472129Z   test_schema_correctness_lerp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5472315Z   test_schema_correctness_lerp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5472494Z   test_schema_correctness_lerp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5472662Z   test_schema_correctness_lerp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5472881Z   test_schema_correctness_lgamma_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5473066Z   test_schema_correctness_lgamma_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5473250Z   test_schema_correctness_lgamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5473461Z   test_schema_correctness_lgamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5473644Z   test_schema_correctness_lgamma_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5473821Z   test_schema_correctness_lgamma_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5473997Z   test_schema_correctness_lgamma_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5474178Z   test_schema_correctness_lgamma_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5474357Z   test_schema_correctness_lgamma_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5474558Z   test_schema_correctness_linalg_cholesky_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5474759Z   test_schema_correctness_linalg_cholesky_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5474954Z   test_schema_correctness_linalg_cholesky_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5475149Z   test_schema_correctness_linalg_cholesky_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5475352Z   test_schema_correctness_linalg_cholesky_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5475556Z   test_schema_correctness_linalg_cholesky_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5475760Z   test_schema_correctness_linalg_cholesky_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5475959Z   test_schema_correctness_linalg_cholesky_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5476152Z   test_schema_correctness_linalg_cond_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5476347Z   test_schema_correctness_linalg_cond_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5476539Z   test_schema_correctness_linalg_cond_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5476727Z   test_schema_correctness_linalg_cond_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5476926Z   test_schema_correctness_linalg_cross_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5477124Z   test_schema_correctness_linalg_cross_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5477313Z   test_schema_correctness_linalg_cross_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5477503Z   test_schema_correctness_linalg_cross_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5477698Z   test_schema_correctness_linalg_cross_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5477880Z   test_schema_correctness_linalg_cross_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5478069Z   test_schema_correctness_linalg_cross_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5478251Z   test_schema_correctness_linalg_cross_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5478445Z   test_schema_correctness_linalg_cross_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5478658Z   test_schema_correctness_linalg_cross_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5478856Z   test_schema_correctness_linalg_det_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5479072Z   test_schema_correctness_linalg_det_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5479257Z   test_schema_correctness_linalg_det_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5479446Z   test_schema_correctness_linalg_det_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5479645Z   test_schema_correctness_linalg_det_singular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5479848Z   test_schema_correctness_linalg_det_singular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5480051Z   test_schema_correctness_linalg_det_singular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5480252Z   test_schema_correctness_linalg_det_singular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5480447Z   test_schema_correctness_linalg_eig_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5480643Z   test_schema_correctness_linalg_eig_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5480832Z   test_schema_correctness_linalg_eig_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5481017Z   test_schema_correctness_linalg_eig_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5481216Z   test_schema_correctness_linalg_eigh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5481413Z   test_schema_correctness_linalg_eigh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5481596Z   test_schema_correctness_linalg_eigh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5481786Z   test_schema_correctness_linalg_eigh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5481989Z   test_schema_correctness_linalg_eigvals_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5482188Z   test_schema_correctness_linalg_eigvals_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5482382Z   test_schema_correctness_linalg_eigvals_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5482576Z   test_schema_correctness_linalg_eigvals_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5482778Z   test_schema_correctness_linalg_eigvalsh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5482976Z   test_schema_correctness_linalg_eigvalsh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5483171Z   test_schema_correctness_linalg_eigvalsh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5483365Z   test_schema_correctness_linalg_eigvalsh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5483577Z   test_schema_correctness_linalg_householder_product_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5483791Z   test_schema_correctness_linalg_householder_product_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5483999Z   test_schema_correctness_linalg_householder_product_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5484248Z   test_schema_correctness_linalg_householder_product_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5484442Z   test_schema_correctness_linalg_inv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5484633Z   test_schema_correctness_linalg_inv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5484849Z   test_schema_correctness_linalg_inv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5485037Z   test_schema_correctness_linalg_inv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5485228Z   test_schema_correctness_linalg_inv_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5485424Z   test_schema_correctness_linalg_inv_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5485615Z   test_schema_correctness_linalg_inv_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5485807Z   test_schema_correctness_linalg_inv_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5486009Z   test_schema_correctness_linalg_ldl_factor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5486208Z   test_schema_correctness_linalg_ldl_factor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5486410Z   test_schema_correctness_linalg_ldl_factor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5486603Z   test_schema_correctness_linalg_ldl_factor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5486806Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5487009Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5487202Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5487393Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5487590Z   test_schema_correctness_linalg_ldl_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5487791Z   test_schema_correctness_linalg_ldl_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5487987Z   test_schema_correctness_linalg_ldl_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5488182Z   test_schema_correctness_linalg_ldl_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5488377Z   test_schema_correctness_linalg_lstsq_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5488574Z   test_schema_correctness_linalg_lstsq_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5488764Z   test_schema_correctness_linalg_lstsq_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5488949Z   test_schema_correctness_linalg_lstsq_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5489163Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5489370Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5489577Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5489780Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5489998Z   test_schema_correctness_linalg_lu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5490190Z   test_schema_correctness_linalg_lu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5490380Z   test_schema_correctness_linalg_lu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5490608Z   test_schema_correctness_linalg_lu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5490840Z   test_schema_correctness_linalg_lu_factor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T01:40:48.5491037Z   test_schema_correctness_linalg_lu_factor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.5491233Z   test_schema_correctness_linalg_lu_factor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5491429Z   test_schema_correctness_linalg_lu_factor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T01:40:48.5491629Z   test_schema_correctness_linalg_lu_factor_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5491830Z   test_schema_correctness_linalg_lu_factor_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5492029Z   test_schema_correctness_linalg_lu_factor_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5492218Z   test_schema_correctness_linalg_lu_factor_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5492411Z   test_schema_correctness_linalg_lu_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.114s)
2022-11-23T01:40:48.5492607Z   test_schema_correctness_linalg_lu_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5492795Z   test_schema_correctness_linalg_lu_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.097s)
2022-11-23T01:40:48.5492990Z   test_schema_correctness_linalg_lu_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T01:40:48.5493181Z   test_schema_correctness_linalg_matrix_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5493384Z   test_schema_correctness_linalg_matrix_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.121s)
2022-11-23T01:40:48.5493586Z   test_schema_correctness_linalg_matrix_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.101s)
2022-11-23T01:40:48.5493787Z   test_schema_correctness_linalg_matrix_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5493976Z   test_schema_correctness_linalg_matrix_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5494167Z   test_schema_correctness_linalg_matrix_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5494371Z   test_schema_correctness_linalg_matrix_power_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.133s)
2022-11-23T01:40:48.5494575Z   test_schema_correctness_linalg_matrix_power_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.135s)
2022-11-23T01:40:48.5494769Z   test_schema_correctness_linalg_matrix_power_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.129s)
2022-11-23T01:40:48.5494963Z   test_schema_correctness_linalg_matrix_power_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.129s)
2022-11-23T01:40:48.5495163Z   test_schema_correctness_linalg_matrix_rank_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.127s)
2022-11-23T01:40:48.5495362Z   test_schema_correctness_linalg_matrix_rank_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.987s)
2022-11-23T01:40:48.5495584Z   test_schema_correctness_linalg_matrix_rank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.978s)
2022-11-23T01:40:48.5495779Z   test_schema_correctness_linalg_matrix_rank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.993s)
2022-11-23T01:40:48.5495994Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.392s)
2022-11-23T01:40:48.5496232Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.385s)
2022-11-23T01:40:48.5496442Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.385s)
2022-11-23T01:40:48.5496642Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.384s)
2022-11-23T01:40:48.5496842Z   test_schema_correctness_linalg_multi_dot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5497043Z   test_schema_correctness_linalg_multi_dot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5497243Z   test_schema_correctness_linalg_multi_dot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5497436Z   test_schema_correctness_linalg_multi_dot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5497638Z   test_schema_correctness_linalg_multi_dot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5497831Z   test_schema_correctness_linalg_multi_dot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5498024Z   test_schema_correctness_linalg_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T01:40:48.5498220Z   test_schema_correctness_linalg_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.115s)
2022-11-23T01:40:48.5498413Z   test_schema_correctness_linalg_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5498601Z   test_schema_correctness_linalg_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T01:40:48.5499002Z   test_schema_correctness_linalg_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.093s)
2022-11-23T01:40:48.5499197Z   test_schema_correctness_linalg_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.097s)
2022-11-23T01:40:48.5499418Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5499645Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T01:40:48.5499864Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T01:40:48.5500078Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5500292Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T01:40:48.5500503Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T01:40:48.5500696Z   test_schema_correctness_linalg_pinv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T01:40:48.5500891Z   test_schema_correctness_linalg_pinv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.300s)
2022-11-23T01:40:48.5501079Z   test_schema_correctness_linalg_pinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.298s)
2022-11-23T01:40:48.5501269Z   test_schema_correctness_linalg_pinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.303s)
2022-11-23T01:40:48.5501537Z   test_schema_correctness_linalg_pinv_hermitian_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5501744Z   test_schema_correctness_linalg_pinv_hermitian_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5501944Z   test_schema_correctness_linalg_pinv_hermitian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5502182Z   test_schema_correctness_linalg_pinv_hermitian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5502457Z   test_schema_correctness_linalg_pinv_singular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:40:48.5502725Z   test_schema_correctness_linalg_pinv_singular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:40:48.5502983Z   test_schema_correctness_linalg_pinv_singular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:40:48.5503235Z   test_schema_correctness_linalg_pinv_singular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:40:48.5503436Z   test_schema_correctness_linalg_qr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5503633Z   test_schema_correctness_linalg_qr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5503823Z   test_schema_correctness_linalg_qr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5504015Z   test_schema_correctness_linalg_qr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5504217Z   test_schema_correctness_linalg_slogdet_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5504419Z   test_schema_correctness_linalg_slogdet_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5504617Z   test_schema_correctness_linalg_slogdet_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5504814Z   test_schema_correctness_linalg_slogdet_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5505005Z   test_schema_correctness_linalg_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5505202Z   test_schema_correctness_linalg_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5505395Z   test_schema_correctness_linalg_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5505588Z   test_schema_correctness_linalg_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5505791Z   test_schema_correctness_linalg_solve_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5506069Z   test_schema_correctness_linalg_solve_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5506286Z   test_schema_correctness_linalg_solve_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5506503Z   test_schema_correctness_linalg_solve_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5506743Z   test_schema_correctness_linalg_solve_triangular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.121s)
2022-11-23T01:40:48.5506970Z   test_schema_correctness_linalg_solve_triangular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.123s)
2022-11-23T01:40:48.5507171Z   test_schema_correctness_linalg_solve_triangular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.111s)
2022-11-23T01:40:48.5507501Z   test_schema_correctness_linalg_solve_triangular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.105s)
2022-11-23T01:40:48.5507716Z   test_schema_correctness_linalg_svd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.413s)
2022-11-23T01:40:48.5508071Z   test_schema_correctness_linalg_svd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.182s)
2022-11-23T01:40:48.5508307Z   test_schema_correctness_linalg_svd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.165s)
2022-11-23T01:40:48.5508520Z   test_schema_correctness_linalg_svd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.211s)
2022-11-23T01:40:48.5508738Z   test_schema_correctness_linalg_svdvals_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5508953Z   test_schema_correctness_linalg_svdvals_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5509142Z   test_schema_correctness_linalg_svdvals_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5509357Z   test_schema_correctness_linalg_svdvals_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5509573Z   test_schema_correctness_linalg_tensorinv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5509788Z   test_schema_correctness_linalg_tensorinv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5510026Z   test_schema_correctness_linalg_tensorinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5510347Z   test_schema_correctness_linalg_tensorinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5510588Z   test_schema_correctness_linalg_tensorsolve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5510803Z   test_schema_correctness_linalg_tensorsolve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5511016Z   test_schema_correctness_linalg_tensorsolve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5511271Z   test_schema_correctness_linalg_tensorsolve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5511465Z   test_schema_correctness_linalg_vander_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5511680Z   test_schema_correctness_linalg_vander_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5511892Z   test_schema_correctness_linalg_vander_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5512123Z   test_schema_correctness_linalg_vander_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5512334Z   test_schema_correctness_linalg_vander_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5512546Z   test_schema_correctness_linalg_vander_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5512745Z   test_schema_correctness_linalg_vander_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5512956Z   test_schema_correctness_linalg_vander_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5513163Z   test_schema_correctness_linalg_vander_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5513352Z   test_schema_correctness_linalg_vecdot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5513579Z   test_schema_correctness_linalg_vecdot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5513812Z   test_schema_correctness_linalg_vecdot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5514066Z   test_schema_correctness_linalg_vecdot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5514274Z   test_schema_correctness_linalg_vecdot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5514477Z   test_schema_correctness_linalg_vecdot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5514759Z   test_schema_correctness_linalg_vector_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.194s)
2022-11-23T01:40:48.5514974Z   test_schema_correctness_linalg_vector_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.199s)
2022-11-23T01:40:48.5515193Z   test_schema_correctness_linalg_vector_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.199s)
2022-11-23T01:40:48.5515385Z   test_schema_correctness_linalg_vector_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.193s)
2022-11-23T01:40:48.5515600Z   test_schema_correctness_linalg_vector_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.194s)
2022-11-23T01:40:48.5515805Z   test_schema_correctness_linalg_vector_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.194s)
2022-11-23T01:40:48.5516026Z   test_schema_correctness_linspace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5516237Z   test_schema_correctness_linspace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5516449Z   test_schema_correctness_linspace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5516651Z   test_schema_correctness_linspace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5516856Z   test_schema_correctness_linspace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5517058Z   test_schema_correctness_linspace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5517265Z   test_schema_correctness_linspace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5517446Z   test_schema_correctness_linspace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5517650Z   test_schema_correctness_linspace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5517865Z   test_schema_correctness_linspace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T01:40:48.5518062Z   test_schema_correctness_linspace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T01:40:48.5518256Z   test_schema_correctness_log10_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5518520Z   test_schema_correctness_log10_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5518723Z   test_schema_correctness_log10_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5518926Z   test_schema_correctness_log10_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5519125Z   test_schema_correctness_log10_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5519304Z   test_schema_correctness_log10_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5519495Z   test_schema_correctness_log10_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5519700Z   test_schema_correctness_log10_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5519887Z   test_schema_correctness_log10_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5520082Z   test_schema_correctness_log10_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5520302Z   test_schema_correctness_log10_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5520500Z   test_schema_correctness_log10_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5520702Z   test_schema_correctness_log1p_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5520913Z   test_schema_correctness_log1p_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5521109Z   test_schema_correctness_log1p_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5521307Z   test_schema_correctness_log1p_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5521522Z   test_schema_correctness_log1p_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5521761Z   test_schema_correctness_log1p_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5521960Z   test_schema_correctness_log1p_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5522153Z   test_schema_correctness_log1p_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5522357Z   test_schema_correctness_log1p_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5522555Z   test_schema_correctness_log1p_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5522731Z   test_schema_correctness_log2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5522924Z   test_schema_correctness_log2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5523136Z   test_schema_correctness_log2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5523348Z   test_schema_correctness_log2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5523548Z   test_schema_correctness_log2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5523740Z   test_schema_correctness_log2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5523931Z   test_schema_correctness_log2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5524127Z   test_schema_correctness_log2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5524323Z   test_schema_correctness_log2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5524492Z   test_schema_correctness_log2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5524693Z   test_schema_correctness_log2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5524886Z   test_schema_correctness_log2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5525099Z   test_schema_correctness_log_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5525336Z   test_schema_correctness_log_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5525538Z   test_schema_correctness_log_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5525743Z   test_schema_correctness_log_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5525940Z   test_schema_correctness_log_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5526143Z   test_schema_correctness_log_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5526317Z   test_schema_correctness_log_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5526511Z   test_schema_correctness_log_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5526730Z   test_schema_correctness_log_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5526937Z   test_schema_correctness_log_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5527132Z   test_schema_correctness_log_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5527353Z   test_schema_correctness_log_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5527555Z   test_schema_correctness_log_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5527764Z   test_schema_correctness_log_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5527970Z   test_schema_correctness_log_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5528158Z   test_schema_correctness_log_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5528365Z   test_schema_correctness_log_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5528638Z   test_schema_correctness_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5528870Z   test_schema_correctness_log_softmax_with_dtype_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5529094Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5529325Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5529545Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5529763Z   test_schema_correctness_log_softmax_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5529976Z   test_schema_correctness_log_softmax_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5530173Z   test_schema_correctness_log_softmax_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5530391Z   test_schema_correctness_log_softmax_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5530604Z   test_schema_correctness_log_softmax_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5530832Z   test_schema_correctness_log_softmax_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5531055Z   test_schema_correctness_log_softmax_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5531270Z   test_schema_correctness_log_softmax_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5531485Z   test_schema_correctness_logaddexp2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5531691Z   test_schema_correctness_logaddexp2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5531898Z   test_schema_correctness_logaddexp2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5532103Z   test_schema_correctness_logaddexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5532287Z   test_schema_correctness_logaddexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5532532Z   test_schema_correctness_logaddexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5532764Z   test_schema_correctness_logcumsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5533006Z   test_schema_correctness_logcumsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5533218Z   test_schema_correctness_logcumsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5533423Z   test_schema_correctness_logcumsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5533654Z   test_schema_correctness_logdet_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5533859Z   test_schema_correctness_logdet_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5534068Z   test_schema_correctness_logdet_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.089s)
2022-11-23T01:40:48.5534251Z   test_schema_correctness_logdet_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.089s)
2022-11-23T01:40:48.5534457Z   test_schema_correctness_logical_and_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5534683Z   test_schema_correctness_logical_and_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5534895Z   test_schema_correctness_logical_and_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5535104Z   test_schema_correctness_logical_and_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5535315Z   test_schema_correctness_logical_and_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5535518Z   test_schema_correctness_logical_and_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5535770Z   test_schema_correctness_logical_and_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5535980Z   test_schema_correctness_logical_and_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5536162Z   test_schema_correctness_logical_and_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5536366Z   test_schema_correctness_logical_and_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5536585Z   test_schema_correctness_logical_and_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5536787Z   test_schema_correctness_logical_and_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5536994Z   test_schema_correctness_logical_not_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5537197Z   test_schema_correctness_logical_not_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5537419Z   test_schema_correctness_logical_not_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5537632Z   test_schema_correctness_logical_not_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5537840Z   test_schema_correctness_logical_not_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5538019Z   test_schema_correctness_logical_not_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5538227Z   test_schema_correctness_logical_not_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5538445Z   test_schema_correctness_logical_not_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5538648Z   test_schema_correctness_logical_not_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5539117Z   test_schema_correctness_logical_not_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5539332Z   test_schema_correctness_logical_not_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5539697Z   test_schema_correctness_logical_not_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5539900Z   test_schema_correctness_logical_or_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5540101Z   test_schema_correctness_logical_or_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5540323Z   test_schema_correctness_logical_or_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5540533Z   test_schema_correctness_logical_or_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5540760Z   test_schema_correctness_logical_or_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5540974Z   test_schema_correctness_logical_or_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5541180Z   test_schema_correctness_logical_or_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5541386Z   test_schema_correctness_logical_or_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5541592Z   test_schema_correctness_logical_or_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5541796Z   test_schema_correctness_logical_or_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5542004Z   test_schema_correctness_logical_or_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5542182Z   test_schema_correctness_logical_or_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5542392Z   test_schema_correctness_logical_xor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5542617Z   test_schema_correctness_logical_xor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5542829Z   test_schema_correctness_logical_xor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5543039Z   test_schema_correctness_logical_xor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5543285Z   test_schema_correctness_logical_xor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5543495Z   test_schema_correctness_logical_xor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5543697Z   test_schema_correctness_logical_xor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5543897Z   test_schema_correctness_logical_xor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5544077Z   test_schema_correctness_logical_xor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5544286Z   test_schema_correctness_logical_xor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5544498Z   test_schema_correctness_logical_xor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5544702Z   test_schema_correctness_logical_xor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5544901Z   test_schema_correctness_logit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5545108Z   test_schema_correctness_logit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5545309Z   test_schema_correctness_logit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5545508Z   test_schema_correctness_logit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5545709Z   test_schema_correctness_logit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5545884Z   test_schema_correctness_logit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5546106Z   test_schema_correctness_logit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5546310Z   test_schema_correctness_logit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5555287Z   test_schema_correctness_logit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5555600Z   test_schema_correctness_logit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5555796Z   test_schema_correctness_logspace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.494s)
2022-11-23T01:40:48.5555994Z   test_schema_correctness_logspace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.490s)
2022-11-23T01:40:48.5556190Z   test_schema_correctness_logspace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.491s)
2022-11-23T01:40:48.5556383Z   test_schema_correctness_logspace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.488s)
2022-11-23T01:40:48.5556580Z   test_schema_correctness_logspace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.489s)
2022-11-23T01:40:48.5556762Z   test_schema_correctness_logspace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.489s)
2022-11-23T01:40:48.5556956Z   test_schema_correctness_logspace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.396s)
2022-11-23T01:40:48.5557145Z   test_schema_correctness_logspace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.395s)
2022-11-23T01:40:48.5557328Z   test_schema_correctness_logspace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.395s)
2022-11-23T01:40:48.5557515Z   test_schema_correctness_logspace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.561s)
2022-11-23T01:40:48.5557701Z   test_schema_correctness_logspace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.449s)
2022-11-23T01:40:48.5557893Z   test_schema_correctness_logsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5558080Z   test_schema_correctness_logsumexp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5558265Z   test_schema_correctness_logsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5558451Z   test_schema_correctness_logsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5558634Z   test_schema_correctness_logsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5558818Z   test_schema_correctness_logsumexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5558997Z   test_schema_correctness_logsumexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5559179Z   test_schema_correctness_logsumexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5559362Z   test_schema_correctness_logsumexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5559545Z   test_schema_correctness_logsumexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5559730Z   test_schema_correctness_long_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5559914Z   test_schema_correctness_long_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5560094Z   test_schema_correctness_long_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5560279Z   test_schema_correctness_long_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5560464Z   test_schema_correctness_long_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5560649Z   test_schema_correctness_long_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5560866Z   test_schema_correctness_long_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5561046Z   test_schema_correctness_long_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5561228Z   test_schema_correctness_long_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5561425Z   test_schema_correctness_long_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5561599Z   test_schema_correctness_long_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5561769Z   test_schema_correctness_long_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5561951Z   test_schema_correctness_long_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5562135Z   test_schema_correctness_lt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5562317Z   test_schema_correctness_lt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5562499Z   test_schema_correctness_lt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5562683Z   test_schema_correctness_lt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5562865Z   test_schema_correctness_lt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5563046Z   test_schema_correctness_lt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5563217Z   test_schema_correctness_lt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5563399Z   test_schema_correctness_lt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5563575Z   test_schema_correctness_lt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5563753Z   test_schema_correctness_lt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5564465Z   test_schema_correctness_lu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:1727: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2022-11-23T01:40:48.5564581Z LU, pivots = torch.lu(A, compute_pivots)
2022-11-23T01:40:48.5564671Z should be replaced with
2022-11-23T01:40:48.5564802Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2022-11-23T01:40:48.5564871Z and
2022-11-23T01:40:48.5564999Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2022-11-23T01:40:48.5565088Z should be replaced with
2022-11-23T01:40:48.5565345Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
2022-11-23T01:40:48.5565497Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2022-11-23T01:40:48.5565572Z ok (0.093s)
2022-11-23T01:40:48.5565762Z   test_schema_correctness_lu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5565946Z   test_schema_correctness_lu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5566127Z   test_schema_correctness_lu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T01:40:48.5566685Z   test_schema_correctness_lu_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2022-11-23T01:40:48.5566824Z Note that torch.linalg.lu_solve has its arguments reversed.
2022-11-23T01:40:48.5566923Z X = torch.lu_solve(B, LU, pivots)
2022-11-23T01:40:48.5567090Z should be replaced with
2022-11-23T01:40:48.5567327Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.)
2022-11-23T01:40:48.5567422Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5567517Z ok (0.041s)
2022-11-23T01:40:48.5567712Z   test_schema_correctness_lu_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5567896Z   test_schema_correctness_lu_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5568085Z   test_schema_correctness_lu_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5568281Z   test_schema_correctness_lu_unpack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5568476Z   test_schema_correctness_lu_unpack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5568668Z   test_schema_correctness_lu_unpack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5568852Z   test_schema_correctness_lu_unpack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5569037Z   test_schema_correctness_mH_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5569221Z   test_schema_correctness_mH_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5569408Z   test_schema_correctness_mH_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5569586Z   test_schema_correctness_mH_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5569772Z   test_schema_correctness_mH_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5569955Z   test_schema_correctness_mH_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5570136Z   test_schema_correctness_mH_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5570311Z   test_schema_correctness_mH_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5570489Z   test_schema_correctness_mH_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5570670Z   test_schema_correctness_mH_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5570851Z   test_schema_correctness_mH_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571029Z   test_schema_correctness_mH_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571200Z   test_schema_correctness_mH_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571382Z   test_schema_correctness_mT_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571566Z   test_schema_correctness_mT_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571754Z   test_schema_correctness_mT_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5571939Z   test_schema_correctness_mT_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5572122Z   test_schema_correctness_mT_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5572301Z   test_schema_correctness_mT_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5572482Z   test_schema_correctness_mT_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5572661Z   test_schema_correctness_mT_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5572829Z   test_schema_correctness_mT_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5573032Z   test_schema_correctness_mT_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5573211Z   test_schema_correctness_mT_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5573394Z   test_schema_correctness_mT_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5573591Z   test_schema_correctness_mT_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5573786Z   test_schema_correctness_masked_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T01:40:48.5573981Z   test_schema_correctness_masked_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T01:40:48.5574173Z   test_schema_correctness_masked_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.212s)
2022-11-23T01:40:48.5574368Z   test_schema_correctness_masked_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.218s)
2022-11-23T01:40:48.5574553Z   test_schema_correctness_masked_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.193s)
2022-11-23T01:40:48.5574745Z   test_schema_correctness_masked_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.191s)
2022-11-23T01:40:48.5574940Z   test_schema_correctness_masked_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.192s)
2022-11-23T01:40:48.5575131Z   test_schema_correctness_masked_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.193s)
2022-11-23T01:40:48.5575318Z   test_schema_correctness_masked_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.192s)
2022-11-23T01:40:48.5575511Z   test_schema_correctness_masked_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.221s)
2022-11-23T01:40:48.5575701Z   test_schema_correctness_masked_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T01:40:48.5575893Z   test_schema_correctness_masked_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.221s)
2022-11-23T01:40:48.5576077Z   test_schema_correctness_masked_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.221s)
2022-11-23T01:40:48.5576254Z   test_schema_correctness_masked_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.202s)
2022-11-23T01:40:48.5576443Z   test_schema_correctness_masked_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.188s)
2022-11-23T01:40:48.5576634Z   test_schema_correctness_masked_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.187s)
2022-11-23T01:40:48.5576823Z   test_schema_correctness_masked_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.184s)
2022-11-23T01:40:48.5577007Z   test_schema_correctness_masked_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.189s)
2022-11-23T01:40:48.5577206Z   test_schema_correctness_masked_argmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T01:40:48.5577403Z   test_schema_correctness_masked_argmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.135s)
2022-11-23T01:40:48.5577600Z   test_schema_correctness_masked_argmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.135s)
2022-11-23T01:40:48.5577789Z   test_schema_correctness_masked_argmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5577968Z   test_schema_correctness_masked_argmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.113s)
2022-11-23T01:40:48.5578157Z   test_schema_correctness_masked_argmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.112s)
2022-11-23T01:40:48.5578342Z   test_schema_correctness_masked_argmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.085s)
2022-11-23T01:40:48.5578534Z   test_schema_correctness_masked_argmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.110s)
2022-11-23T01:40:48.5578744Z   test_schema_correctness_masked_argmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T01:40:48.5579371Z   test_schema_correctness_masked_argmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.131s)
2022-11-23T01:40:48.5579570Z   test_schema_correctness_masked_argmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.132s)
2022-11-23T01:40:48.5579886Z   test_schema_correctness_masked_argmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.147s)
2022-11-23T01:40:48.5580075Z   test_schema_correctness_masked_argmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T01:40:48.5580254Z   test_schema_correctness_masked_argmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.130s)
2022-11-23T01:40:48.5580445Z   test_schema_correctness_masked_argmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T01:40:48.5580633Z   test_schema_correctness_masked_argmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T01:40:48.5580825Z   test_schema_correctness_masked_argmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T01:40:48.5581012Z   test_schema_correctness_masked_argmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T01:40:48.5581215Z   test_schema_correctness_masked_cumprod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5581416Z   test_schema_correctness_masked_cumprod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5581619Z   test_schema_correctness_masked_cumprod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5581814Z   test_schema_correctness_masked_cumprod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5582002Z   test_schema_correctness_masked_cumprod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5582199Z   test_schema_correctness_masked_cumprod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5582392Z   test_schema_correctness_masked_cumprod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5582586Z   test_schema_correctness_masked_cumprod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5582786Z   test_schema_correctness_masked_cumprod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5582979Z   test_schema_correctness_masked_cumprod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5583168Z   test_schema_correctness_masked_cumprod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5583362Z   test_schema_correctness_masked_cumsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5583565Z   test_schema_correctness_masked_cumsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5583761Z   test_schema_correctness_masked_cumsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5583945Z   test_schema_correctness_masked_cumsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5584141Z   test_schema_correctness_masked_cumsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5584328Z   test_schema_correctness_masked_cumsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5584516Z   test_schema_correctness_masked_cumsum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5584702Z   test_schema_correctness_masked_cumsum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5584890Z   test_schema_correctness_masked_cumsum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5585122Z   test_schema_correctness_masked_cumsum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5585312Z   test_schema_correctness_masked_cumsum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5585532Z   test_schema_correctness_masked_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5585715Z   test_schema_correctness_masked_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5585911Z   test_schema_correctness_masked_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5586103Z   test_schema_correctness_masked_fill_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5586297Z   test_schema_correctness_masked_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5586485Z   test_schema_correctness_masked_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5586670Z   test_schema_correctness_masked_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5586856Z   test_schema_correctness_masked_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5587047Z   test_schema_correctness_masked_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5587237Z   test_schema_correctness_masked_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5587416Z   test_schema_correctness_masked_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5587605Z   test_schema_correctness_masked_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5587796Z   test_schema_correctness_masked_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5587999Z   test_schema_correctness_masked_log_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5588200Z   test_schema_correctness_masked_log_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5588402Z   test_schema_correctness_masked_log_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5588603Z   test_schema_correctness_masked_log_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5588802Z   test_schema_correctness_masked_logaddexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5589001Z   test_schema_correctness_masked_logaddexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5589192Z   test_schema_correctness_masked_logaddexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5589390Z   test_schema_correctness_masked_logsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.226s)
2022-11-23T01:40:48.5589584Z   test_schema_correctness_masked_logsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.226s)
2022-11-23T01:40:48.5589785Z   test_schema_correctness_masked_logsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.227s)
2022-11-23T01:40:48.5589983Z   test_schema_correctness_masked_logsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.212s)
2022-11-23T01:40:48.5590268Z   test_schema_correctness_masked_logsumexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.234s)
2022-11-23T01:40:48.5590494Z   test_schema_correctness_masked_logsumexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.237s)
2022-11-23T01:40:48.5590695Z   test_schema_correctness_masked_logsumexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.237s)
2022-11-23T01:40:48.5590920Z   test_schema_correctness_masked_logsumexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.236s)
2022-11-23T01:40:48.5591113Z   test_schema_correctness_masked_logsumexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T01:40:48.5591300Z   test_schema_correctness_masked_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.925s)
2022-11-23T01:40:48.5591516Z   test_schema_correctness_masked_mean_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.795s)
2022-11-23T01:40:48.5591709Z   test_schema_correctness_masked_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.809s)
2022-11-23T01:40:48.5591904Z   test_schema_correctness_masked_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.798s)
2022-11-23T01:40:48.5592093Z   test_schema_correctness_masked_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.945s)
2022-11-23T01:40:48.5592285Z   test_schema_correctness_masked_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.939s)
2022-11-23T01:40:48.5592477Z   test_schema_correctness_masked_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.937s)
2022-11-23T01:40:48.5592665Z   test_schema_correctness_masked_mean_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.794s)
2022-11-23T01:40:48.5592856Z   test_schema_correctness_masked_mean_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.796s)
2022-11-23T01:40:48.5593035Z   test_schema_correctness_masked_mean_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.797s)
2022-11-23T01:40:48.5593226Z   test_schema_correctness_masked_mean_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.797s)
2022-11-23T01:40:48.5593408Z   test_schema_correctness_masked_mean_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.799s)
2022-11-23T01:40:48.5593600Z   test_schema_correctness_masked_median_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5593795Z   test_schema_correctness_masked_median_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5593982Z   test_schema_correctness_masked_median_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5594174Z   test_schema_correctness_masked_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.183s)
2022-11-23T01:40:48.5594372Z   test_schema_correctness_masked_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.178s)
2022-11-23T01:40:48.5594566Z   test_schema_correctness_masked_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.175s)
2022-11-23T01:40:48.5594747Z   test_schema_correctness_masked_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.169s)
2022-11-23T01:40:48.5594946Z   test_schema_correctness_masked_normalize_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.427s)
2022-11-23T01:40:48.5595151Z   test_schema_correctness_masked_normalize_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.432s)
2022-11-23T01:40:48.5595355Z   test_schema_correctness_masked_normalize_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.430s)
2022-11-23T01:40:48.5595553Z   test_schema_correctness_masked_normalize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.428s)
2022-11-23T01:40:48.5595752Z   test_schema_correctness_masked_normalize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.428s)
2022-11-23T01:40:48.5595948Z   test_schema_correctness_masked_normalize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.433s)
2022-11-23T01:40:48.5596142Z   test_schema_correctness_masked_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T01:40:48.5596334Z   test_schema_correctness_masked_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.221s)
2022-11-23T01:40:48.5596520Z   test_schema_correctness_masked_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.195s)
2022-11-23T01:40:48.5596747Z   test_schema_correctness_masked_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T01:40:48.5596943Z   test_schema_correctness_masked_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T01:40:48.5597156Z   test_schema_correctness_masked_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.219s)
2022-11-23T01:40:48.5597346Z   test_schema_correctness_masked_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T01:40:48.5597536Z   test_schema_correctness_masked_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.228s)
2022-11-23T01:40:48.5597723Z   test_schema_correctness_masked_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.231s)
2022-11-23T01:40:48.5597906Z   test_schema_correctness_masked_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T01:40:48.5598097Z   test_schema_correctness_masked_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.226s)
2022-11-23T01:40:48.5598277Z   test_schema_correctness_masked_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.231s)
2022-11-23T01:40:48.5598477Z   test_schema_correctness_masked_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5598670Z   test_schema_correctness_masked_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5598872Z   test_schema_correctness_masked_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5599069Z   test_schema_correctness_masked_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5599267Z   test_schema_correctness_masked_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5599463Z   test_schema_correctness_masked_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5599654Z   test_schema_correctness_masked_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5599848Z   test_schema_correctness_masked_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5600035Z   test_schema_correctness_masked_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5600222Z   test_schema_correctness_masked_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5600412Z   test_schema_correctness_masked_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5600604Z   test_schema_correctness_masked_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5600795Z   test_schema_correctness_masked_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5600990Z   test_schema_correctness_masked_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5601188Z   test_schema_correctness_masked_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5601390Z   test_schema_correctness_masked_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5601585Z   test_schema_correctness_masked_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5601776Z   test_schema_correctness_masked_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5601956Z   test_schema_correctness_masked_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5602148Z   test_schema_correctness_masked_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5602361Z   test_schema_correctness_masked_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5602555Z   test_schema_correctness_masked_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5602745Z   test_schema_correctness_masked_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5602958Z   test_schema_correctness_masked_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5603155Z   test_schema_correctness_masked_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5603352Z   test_schema_correctness_masked_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5603545Z   test_schema_correctness_masked_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5603732Z   test_schema_correctness_masked_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5603932Z   test_schema_correctness_masked_softmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5604121Z   test_schema_correctness_masked_softmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5604317Z   test_schema_correctness_masked_softmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5604507Z   test_schema_correctness_masked_softmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5604696Z   test_schema_correctness_masked_std_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.117s)
2022-11-23T01:40:48.5604907Z   test_schema_correctness_masked_std_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5605117Z   test_schema_correctness_masked_std_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5605314Z   test_schema_correctness_masked_std_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.121s)
2022-11-23T01:40:48.5605498Z   test_schema_correctness_masked_std_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.063s)
2022-11-23T01:40:48.5605688Z   test_schema_correctness_masked_std_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.975s)
2022-11-23T01:40:48.5605879Z   test_schema_correctness_masked_std_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.256s)
2022-11-23T01:40:48.5606065Z   test_schema_correctness_masked_std_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.306s)
2022-11-23T01:40:48.5606256Z   test_schema_correctness_masked_std_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.283s)
2022-11-23T01:40:48.5606444Z   test_schema_correctness_masked_std_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.280s)
2022-11-23T01:40:48.5606631Z   test_schema_correctness_masked_std_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.280s)
2022-11-23T01:40:48.5606821Z   test_schema_correctness_masked_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.227s)
2022-11-23T01:40:48.5607008Z   test_schema_correctness_masked_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T01:40:48.5607198Z   test_schema_correctness_masked_sum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.203s)
2022-11-23T01:40:48.5607390Z   test_schema_correctness_masked_sum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.208s)
2022-11-23T01:40:48.5607580Z   test_schema_correctness_masked_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.230s)
2022-11-23T01:40:48.5607768Z   test_schema_correctness_masked_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.228s)
2022-11-23T01:40:48.5607951Z   test_schema_correctness_masked_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.228s)
2022-11-23T01:40:48.5608164Z   test_schema_correctness_masked_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.197s)
2022-11-23T01:40:48.5608346Z   test_schema_correctness_masked_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T01:40:48.5608530Z   test_schema_correctness_masked_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.195s)
2022-11-23T01:40:48.5608747Z   test_schema_correctness_masked_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.193s)
2022-11-23T01:40:48.5608927Z   test_schema_correctness_masked_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T01:40:48.5609117Z   test_schema_correctness_masked_var_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.034s)
2022-11-23T01:40:48.5609331Z   test_schema_correctness_masked_var_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5609543Z   test_schema_correctness_masked_var_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5609734Z   test_schema_correctness_masked_var_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.016s)
2022-11-23T01:40:48.5609923Z   test_schema_correctness_masked_var_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.951s)
2022-11-23T01:40:48.5610110Z   test_schema_correctness_masked_var_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.849s)
2022-11-23T01:40:48.5610293Z   test_schema_correctness_masked_var_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.106s)
2022-11-23T01:40:48.5610475Z   test_schema_correctness_masked_var_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.130s)
2022-11-23T01:40:48.5610653Z   test_schema_correctness_masked_var_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.158s)
2022-11-23T01:40:48.5610841Z   test_schema_correctness_masked_var_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.237s)
2022-11-23T01:40:48.5611029Z   test_schema_correctness_masked_var_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.192s)
2022-11-23T01:40:48.5611217Z   test_schema_correctness_matmul_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5611407Z   test_schema_correctness_matmul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.101s)
2022-11-23T01:40:48.5611597Z   test_schema_correctness_matmul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.100s)
2022-11-23T01:40:48.5611782Z   test_schema_correctness_matmul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5611966Z   test_schema_correctness_matmul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5612153Z   test_schema_correctness_matmul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5612338Z   test_schema_correctness_matrix_exp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5612536Z   test_schema_correctness_matrix_exp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5612730Z   test_schema_correctness_matrix_exp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5612919Z   test_schema_correctness_matrix_exp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5613106Z   test_schema_correctness_matrix_exp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5613291Z   test_schema_correctness_matrix_exp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5613483Z   test_schema_correctness_max_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5613671Z   test_schema_correctness_max_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5613884Z   test_schema_correctness_max_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5614071Z   test_schema_correctness_max_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5614247Z   test_schema_correctness_max_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5614458Z   test_schema_correctness_max_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5614644Z   test_schema_correctness_max_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5614827Z   test_schema_correctness_max_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5615015Z   test_schema_correctness_max_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5615201Z   test_schema_correctness_max_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5615421Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (15.360s)
2022-11-23T01:40:48.5615642Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (15.251s)
2022-11-23T01:40:48.5615861Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (15.273s)
2022-11-23T01:40:48.5616069Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (15.248s)
2022-11-23T01:40:48.5616273Z   test_schema_correctness_max_reduction_no_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5616473Z   test_schema_correctness_max_reduction_no_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5616683Z   test_schema_correctness_max_reduction_no_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5616879Z   test_schema_correctness_max_reduction_no_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5617071Z   test_schema_correctness_max_reduction_no_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5617273Z   test_schema_correctness_max_reduction_no_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5617467Z   test_schema_correctness_max_reduction_no_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5617659Z   test_schema_correctness_max_reduction_no_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5617847Z   test_schema_correctness_max_reduction_no_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5618048Z   test_schema_correctness_max_reduction_no_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5618251Z   test_schema_correctness_max_reduction_with_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5618455Z   test_schema_correctness_max_reduction_with_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5618662Z   test_schema_correctness_max_reduction_with_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5619122Z   test_schema_correctness_max_reduction_with_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5619329Z   test_schema_correctness_max_reduction_with_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5619525Z   test_schema_correctness_max_reduction_with_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5619812Z   test_schema_correctness_max_reduction_with_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5620016Z   test_schema_correctness_max_reduction_with_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5620206Z   test_schema_correctness_max_reduction_with_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5620451Z   test_schema_correctness_max_reduction_with_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5620640Z   test_schema_correctness_maximum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5620825Z   test_schema_correctness_maximum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621013Z   test_schema_correctness_maximum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621202Z   test_schema_correctness_maximum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621392Z   test_schema_correctness_maximum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621576Z   test_schema_correctness_maximum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621757Z   test_schema_correctness_maximum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5621929Z   test_schema_correctness_maximum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5622115Z   test_schema_correctness_maximum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5622299Z   test_schema_correctness_maximum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5622482Z   test_schema_correctness_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5622667Z   test_schema_correctness_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5622856Z   test_schema_correctness_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5623043Z   test_schema_correctness_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5623222Z   test_schema_correctness_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5623408Z   test_schema_correctness_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5623583Z   test_schema_correctness_median_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5623770Z   test_schema_correctness_median_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5623958Z   test_schema_correctness_median_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5624143Z   test_schema_correctness_median_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5624327Z   test_schema_correctness_median_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5624506Z   test_schema_correctness_median_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5624691Z   test_schema_correctness_median_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5624870Z   test_schema_correctness_median_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5625079Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5625274Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5625484Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5625720Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5625927Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5626152Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5626361Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5626560Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5626762Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5626962Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5627166Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5627359Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5627570Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5627773Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5627986Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5628196Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5628404Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5628605Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5628813Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5629024Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5629219Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5629418Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5629620Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5629826Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5630020Z   test_schema_correctness_min_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5630305Z   test_schema_correctness_min_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5630528Z   test_schema_correctness_min_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5630741Z   test_schema_correctness_min_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5630953Z   test_schema_correctness_min_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5631142Z   test_schema_correctness_min_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5631317Z   test_schema_correctness_min_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5631541Z   test_schema_correctness_min_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5631731Z   test_schema_correctness_min_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5631919Z   test_schema_correctness_min_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5632154Z   test_schema_correctness_min_reduction_no_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5632351Z   test_schema_correctness_min_reduction_no_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5632551Z   test_schema_correctness_min_reduction_no_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5632745Z   test_schema_correctness_min_reduction_no_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5632939Z   test_schema_correctness_min_reduction_no_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5633129Z   test_schema_correctness_min_reduction_no_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5633320Z   test_schema_correctness_min_reduction_no_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5633512Z   test_schema_correctness_min_reduction_no_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5633706Z   test_schema_correctness_min_reduction_no_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5633905Z   test_schema_correctness_min_reduction_no_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5634108Z   test_schema_correctness_min_reduction_with_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5634312Z   test_schema_correctness_min_reduction_with_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5634515Z   test_schema_correctness_min_reduction_with_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5634715Z   test_schema_correctness_min_reduction_with_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5634911Z   test_schema_correctness_min_reduction_with_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5635104Z   test_schema_correctness_min_reduction_with_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5635296Z   test_schema_correctness_min_reduction_with_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5635494Z   test_schema_correctness_min_reduction_with_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5635696Z   test_schema_correctness_min_reduction_with_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5635890Z   test_schema_correctness_min_reduction_with_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5636077Z   test_schema_correctness_minimum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5636266Z   test_schema_correctness_minimum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5636453Z   test_schema_correctness_minimum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5636639Z   test_schema_correctness_minimum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5636817Z   test_schema_correctness_minimum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637002Z   test_schema_correctness_minimum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637214Z   test_schema_correctness_minimum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637396Z   test_schema_correctness_minimum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637580Z   test_schema_correctness_minimum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637789Z   test_schema_correctness_minimum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5637973Z   test_schema_correctness_mm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5638176Z   test_schema_correctness_mm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5638378Z   test_schema_correctness_mm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5638556Z   test_schema_correctness_mm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5638734Z   test_schema_correctness_mm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5638910Z   test_schema_correctness_mm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5639095Z   test_schema_correctness_mode_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5639276Z   test_schema_correctness_mode_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5639460Z   test_schema_correctness_mode_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5639642Z   test_schema_correctness_mode_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5639820Z   test_schema_correctness_mode_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5639996Z   test_schema_correctness_mode_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5640172Z   test_schema_correctness_mode_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5640348Z   test_schema_correctness_mode_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5640531Z   test_schema_correctness_mode_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5640710Z   test_schema_correctness_mode_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5640901Z   test_schema_correctness_movedim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5641085Z   test_schema_correctness_movedim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5641277Z   test_schema_correctness_movedim_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5641470Z   test_schema_correctness_movedim_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5641652Z   test_schema_correctness_movedim_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5641837Z   test_schema_correctness_movedim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642026Z   test_schema_correctness_movedim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642212Z   test_schema_correctness_movedim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642398Z   test_schema_correctness_movedim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642580Z   test_schema_correctness_movedim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642765Z   test_schema_correctness_movedim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5642987Z   test_schema_correctness_movedim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5643170Z   test_schema_correctness_movedim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5643348Z   test_schema_correctness_msort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5643563Z   test_schema_correctness_msort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5643747Z   test_schema_correctness_msort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5643926Z   test_schema_correctness_msort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5644109Z   test_schema_correctness_msort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5644288Z   test_schema_correctness_msort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5644467Z   test_schema_correctness_msort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5644649Z   test_schema_correctness_msort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5644830Z   test_schema_correctness_msort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5645006Z   test_schema_correctness_mul_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5645184Z   test_schema_correctness_mul_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5645373Z   test_schema_correctness_mul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5645559Z   test_schema_correctness_mul_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5645739Z   test_schema_correctness_mul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5645924Z   test_schema_correctness_mul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646101Z   test_schema_correctness_mul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646274Z   test_schema_correctness_mul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646455Z   test_schema_correctness_mul_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646627Z   test_schema_correctness_mul_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646806Z   test_schema_correctness_mul_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5646987Z   test_schema_correctness_mul_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5647164Z   test_schema_correctness_mul_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5647364Z   test_schema_correctness_multinomial_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5647556Z   test_schema_correctness_multinomial_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5647744Z   test_schema_correctness_multinomial_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5647929Z   test_schema_correctness_mv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5648113Z   test_schema_correctness_mv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5648289Z   test_schema_correctness_mv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5648467Z   test_schema_correctness_mv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5648642Z   test_schema_correctness_mv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5648845Z   test_schema_correctness_mv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5649049Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5649274Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5649468Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5649667Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5649861Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5650052Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5650258Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5650454Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5650674Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5650911Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5651108Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5651307Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5651501Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5651700Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5651897Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5652083Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5652281Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5652480Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5652674Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5652868Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5653060Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5653252Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5653450Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5653641Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5653823Z   test_schema_correctness_nan_to_num_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5654010Z   test_schema_correctness_nan_to_num_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5654200Z   test_schema_correctness_nan_to_num_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5654414Z   test_schema_correctness_nan_to_num_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5654599Z   test_schema_correctness_nan_to_num_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5654784Z   test_schema_correctness_nan_to_num_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5655052Z   test_schema_correctness_nan_to_num_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5655239Z   test_schema_correctness_nan_to_num_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5655420Z   test_schema_correctness_nan_to_num_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5655600Z   test_schema_correctness_nan_to_num_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5655785Z   test_schema_correctness_nanmean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T01:40:48.5655977Z   test_schema_correctness_nanmean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T01:40:48.5656163Z   test_schema_correctness_nanmean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T01:40:48.5656349Z   test_schema_correctness_nanmean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.140s)
2022-11-23T01:40:48.5656541Z   test_schema_correctness_nanmedian_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5656725Z   test_schema_correctness_nanmedian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5656914Z   test_schema_correctness_nanmedian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5657100Z   test_schema_correctness_nanmedian_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5657279Z   test_schema_correctness_nanmedian_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5657466Z   test_schema_correctness_nanmedian_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5657651Z   test_schema_correctness_nanmedian_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5657841Z   test_schema_correctness_nanmedian_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5658032Z   test_schema_correctness_nanquantile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.971s)
2022-11-23T01:40:48.5658223Z   test_schema_correctness_nanquantile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.972s)
2022-11-23T01:40:48.5658405Z   test_schema_correctness_nansum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5658589Z   test_schema_correctness_nansum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5659003Z   test_schema_correctness_nansum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5659187Z   test_schema_correctness_nansum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5659369Z   test_schema_correctness_nansum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5659560Z   test_schema_correctness_nansum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5659743Z   test_schema_correctness_nansum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5659919Z   test_schema_correctness_nansum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5660099Z   test_schema_correctness_nansum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5660274Z   test_schema_correctness_nansum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5660541Z   test_schema_correctness_narrow_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5660733Z   test_schema_correctness_narrow_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5660924Z   test_schema_correctness_narrow_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5661168Z   test_schema_correctness_narrow_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5661362Z   test_schema_correctness_narrow_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5661559Z   test_schema_correctness_narrow_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5661751Z   test_schema_correctness_narrow_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5661939Z   test_schema_correctness_narrow_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5662129Z   test_schema_correctness_narrow_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5662320Z   test_schema_correctness_narrow_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5662504Z   test_schema_correctness_narrow_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5662686Z   test_schema_correctness_narrow_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5662873Z   test_schema_correctness_narrow_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5663061Z   test_schema_correctness_narrow_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5663244Z   test_schema_correctness_narrow_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5663434Z   test_schema_correctness_narrow_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5663623Z   test_schema_correctness_narrow_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5663809Z   test_schema_correctness_narrow_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5663999Z   test_schema_correctness_narrow_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5664185Z   test_schema_correctness_narrow_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5664359Z   test_schema_correctness_narrow_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5664543Z   test_schema_correctness_narrow_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5664721Z   test_schema_correctness_narrow_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5664899Z   test_schema_correctness_narrow_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5665079Z   test_schema_correctness_narrow_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5665262Z   test_schema_correctness_narrow_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5665467Z   test_schema_correctness_native_batch_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5665666Z   test_schema_correctness_native_batch_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5665863Z   test_schema_correctness_native_batch_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5666049Z   test_schema_correctness_native_batch_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5666283Z   test_schema_correctness_native_dropout_backward_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5666499Z   test_schema_correctness_native_dropout_backward_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5666705Z   test_schema_correctness_native_dropout_backward_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5666926Z   test_schema_correctness_native_dropout_backward_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5667126Z   test_schema_correctness_native_layer_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5667320Z   test_schema_correctness_native_layer_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5667519Z   test_schema_correctness_native_layer_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5667717Z   test_schema_correctness_native_layer_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5667899Z   test_schema_correctness_ne_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5668070Z   test_schema_correctness_ne_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5668261Z   test_schema_correctness_ne_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5668448Z   test_schema_correctness_ne_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5668633Z   test_schema_correctness_ne_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5668811Z   test_schema_correctness_ne_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5668989Z   test_schema_correctness_ne_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5669172Z   test_schema_correctness_ne_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5669353Z   test_schema_correctness_ne_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5669523Z   test_schema_correctness_ne_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5669703Z   test_schema_correctness_ne_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5669880Z   test_schema_correctness_ne_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5670067Z   test_schema_correctness_neg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5670332Z   test_schema_correctness_neg_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5670520Z   test_schema_correctness_neg_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5670703Z   test_schema_correctness_neg_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5670888Z   test_schema_correctness_neg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671071Z   test_schema_correctness_neg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671243Z   test_schema_correctness_neg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671422Z   test_schema_correctness_neg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671601Z   test_schema_correctness_neg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671784Z   test_schema_correctness_neg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5671962Z   test_schema_correctness_neg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5672168Z   test_schema_correctness_neg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5672362Z   test_schema_correctness_new_empty_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5672549Z   test_schema_correctness_new_empty_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5672771Z   test_schema_correctness_new_empty_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5672956Z   test_schema_correctness_new_empty_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5673150Z   test_schema_correctness_new_empty_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5673338Z   test_schema_correctness_new_empty_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5673531Z   test_schema_correctness_new_empty_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5673722Z   test_schema_correctness_new_empty_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5673905Z   test_schema_correctness_new_empty_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5674094Z   test_schema_correctness_new_empty_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5674281Z   test_schema_correctness_new_empty_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5674468Z   test_schema_correctness_new_empty_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5674643Z   test_schema_correctness_new_empty_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5674844Z   test_schema_correctness_new_empty_strided_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5675043Z   test_schema_correctness_new_empty_strided_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5675247Z   test_schema_correctness_new_empty_strided_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5675447Z   test_schema_correctness_new_empty_strided_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5675648Z   test_schema_correctness_new_empty_strided_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5675843Z   test_schema_correctness_new_empty_strided_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5676038Z   test_schema_correctness_new_empty_strided_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5676231Z   test_schema_correctness_new_empty_strided_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5676418Z   test_schema_correctness_new_empty_strided_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T01:40:48.5676613Z   test_schema_correctness_new_empty_strided_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5676807Z   test_schema_correctness_new_empty_strided_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5677008Z   test_schema_correctness_new_empty_strided_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5677199Z   test_schema_correctness_new_empty_strided_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T01:40:48.5677391Z   test_schema_correctness_new_full_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5677576Z   test_schema_correctness_new_full_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5677770Z   test_schema_correctness_new_full_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5677987Z   test_schema_correctness_new_full_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5678179Z   test_schema_correctness_new_full_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5678386Z   test_schema_correctness_new_full_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5678575Z   test_schema_correctness_new_full_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5678763Z   test_schema_correctness_new_full_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5678950Z   test_schema_correctness_new_full_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5679131Z   test_schema_correctness_new_full_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5679317Z   test_schema_correctness_new_full_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5679504Z   test_schema_correctness_new_full_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5679687Z   test_schema_correctness_new_full_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5679876Z   test_schema_correctness_new_ones_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5680051Z   test_schema_correctness_new_ones_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5680244Z   test_schema_correctness_new_ones_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5680435Z   test_schema_correctness_new_ones_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5680622Z   test_schema_correctness_new_ones_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5680812Z   test_schema_correctness_new_ones_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5681025Z   test_schema_correctness_new_ones_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T01:40:48.5681235Z   test_schema_correctness_new_ones_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5681420Z   test_schema_correctness_new_ones_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5681604Z   test_schema_correctness_new_ones_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5681774Z   test_schema_correctness_new_ones_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5681959Z   test_schema_correctness_new_ones_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5682142Z   test_schema_correctness_new_ones_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5682335Z   test_schema_correctness_new_zeros_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5682514Z   test_schema_correctness_new_zeros_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5682707Z   test_schema_correctness_new_zeros_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5682899Z   test_schema_correctness_new_zeros_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5683090Z   test_schema_correctness_new_zeros_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5683277Z   test_schema_correctness_new_zeros_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5683458Z   test_schema_correctness_new_zeros_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5683671Z   test_schema_correctness_new_zeros_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5683858Z   test_schema_correctness_new_zeros_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5684049Z   test_schema_correctness_new_zeros_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5684258Z   test_schema_correctness_new_zeros_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5684442Z   test_schema_correctness_new_zeros_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5684633Z   test_schema_correctness_new_zeros_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5684824Z   test_schema_correctness_nextafter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5685011Z   test_schema_correctness_nextafter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5685193Z   test_schema_correctness_nextafter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5685429Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.184s)
2022-11-23T01:40:48.5685660Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.187s)
2022-11-23T01:40:48.5685888Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.207s)
2022-11-23T01:40:48.5686107Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.232s)
2022-11-23T01:40:48.5686329Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5686549Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5686763Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5686978Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5687194Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5687395Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5687603Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5687815Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5688026Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5688233Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5688446Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5688653Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5688865Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5689070Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5689299Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5689497Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5689703Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5689935Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5690139Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5690350Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5690567Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5690772Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5690977Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5691187Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5691399Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.105s)
2022-11-23T01:40:48.5691601Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.108s)
2022-11-23T01:40:48.5691810Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.108s)
2022-11-23T01:40:48.5692016Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.105s)
2022-11-23T01:40:48.5692223Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5692429Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5692636Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5692840Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5693046Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5693248Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5693452Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5693644Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5693853Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5694054Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5694253Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5694453Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5694657Z   test_schema_correctness_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5694881Z   test_schema_correctness_nn_functional_batch_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5695080Z   test_schema_correctness_nn_functional_batch_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.262s)
2022-11-23T01:40:48.5695304Z   test_schema_correctness_nn_functional_batch_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.115s)
2022-11-23T01:40:48.5695524Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.149s)
2022-11-23T01:40:48.5695732Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5695950Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5696168Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5696375Z   test_schema_correctness_nn_functional_bilinear_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5696577Z   test_schema_correctness_nn_functional_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5696788Z   test_schema_correctness_nn_functional_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5696990Z   test_schema_correctness_nn_functional_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5697209Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5697424Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5697636Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5697833Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5698063Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5698290Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5698515Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5698740Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5699101Z   test_schema_correctness_nn_functional_celu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5699300Z   test_schema_correctness_nn_functional_celu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5699493Z   test_schema_correctness_nn_functional_celu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5699687Z   test_schema_correctness_nn_functional_celu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5699890Z   test_schema_correctness_nn_functional_conv1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5700088Z   test_schema_correctness_nn_functional_conv1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.026s)
2022-11-23T01:40:48.5700292Z   test_schema_correctness_nn_functional_conv1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5700540Z   test_schema_correctness_nn_functional_conv1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.124s)
2022-11-23T01:40:48.5700746Z   test_schema_correctness_nn_functional_conv1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5700941Z   test_schema_correctness_nn_functional_conv1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5701176Z   test_schema_correctness_nn_functional_conv1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5702048Z   test_schema_correctness_nn_functional_conv2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:40:48.5702152Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5702225Z ok (0.060s)
2022-11-23T01:40:48.5702432Z   test_schema_correctness_nn_functional_conv2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.406s)
2022-11-23T01:40:48.5702627Z   test_schema_correctness_nn_functional_conv2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5702834Z   test_schema_correctness_nn_functional_conv2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.437s)
2022-11-23T01:40:48.5703038Z   test_schema_correctness_nn_functional_conv2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T01:40:48.5703238Z   test_schema_correctness_nn_functional_conv2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5703431Z   test_schema_correctness_nn_functional_conv2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5703645Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5703861Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.126s)
2022-11-23T01:40:48.5704078Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5704294Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.127s)
2022-11-23T01:40:48.5704509Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5704711Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5704921Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5705135Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5705354Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.150s)
2022-11-23T01:40:48.5705571Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5705786Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.153s)
2022-11-23T01:40:48.5705992Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5706206Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5706438Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5706650Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5706857Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.132s)
2022-11-23T01:40:48.5707093Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5707302Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.136s)
2022-11-23T01:40:48.5707509Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5707714Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5707925Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5708146Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T01:40:48.5708361Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.237s)
2022-11-23T01:40:48.5708581Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T01:40:48.5708792Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T01:40:48.5709002Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.242s)
2022-11-23T01:40:48.5709216Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.233s)
2022-11-23T01:40:48.5709429Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.229s)
2022-11-23T01:40:48.5709642Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.230s)
2022-11-23T01:40:48.5709856Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.232s)
2022-11-23T01:40:48.5710065Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.238s)
2022-11-23T01:40:48.5710353Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5710581Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5710793Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5711003Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.100s)
2022-11-23T01:40:48.5711208Z   test_schema_correctness_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5711417Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5711626Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5711831Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5712061Z   test_schema_correctness_nn_functional_ctc_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T01:40:48.5712268Z   test_schema_correctness_nn_functional_ctc_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T01:40:48.5713246Z   test_schema_correctness_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:40:48.5713528Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:40:48.5713603Z ok (0.040s)
2022-11-23T01:40:48.5713813Z   test_schema_correctness_nn_functional_dropout2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5714023Z   test_schema_correctness_nn_functional_dropout2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5714220Z   test_schema_correctness_nn_functional_dropout2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5714426Z   test_schema_correctness_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5714630Z   test_schema_correctness_nn_functional_dropout3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5714830Z   test_schema_correctness_nn_functional_dropout3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5715031Z   test_schema_correctness_nn_functional_dropout3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.5715241Z   test_schema_correctness_nn_functional_dropout_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5715443Z   test_schema_correctness_nn_functional_dropout_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5715645Z   test_schema_correctness_nn_functional_dropout_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5715840Z   test_schema_correctness_nn_functional_dropout_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T01:40:48.5716039Z   test_schema_correctness_nn_functional_elu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5716227Z   test_schema_correctness_nn_functional_elu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5716425Z   test_schema_correctness_nn_functional_elu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5716622Z   test_schema_correctness_nn_functional_elu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5716834Z   test_schema_correctness_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.400s)
2022-11-23T01:40:48.5717046Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.405s)
2022-11-23T01:40:48.5717251Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.402s)
2022-11-23T01:40:48.5717455Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.396s)
2022-11-23T01:40:48.5717660Z   test_schema_correctness_nn_functional_embedding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5717861Z   test_schema_correctness_nn_functional_embedding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5718086Z   test_schema_correctness_nn_functional_embedding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5718292Z   test_schema_correctness_nn_functional_embedding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5718543Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5718771Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5718998Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5719220Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5719453Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5719677Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5719914Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5720149Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5720377Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5720597Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5720828Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5721055Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5721283Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5721510Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5721740Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5721961Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5722179Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.174s)
2022-11-23T01:40:48.5722388Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.170s)
2022-11-23T01:40:48.5722596Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.170s)
2022-11-23T01:40:48.5722811Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.226s)
2022-11-23T01:40:48.5723010Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.227s)
2022-11-23T01:40:48.5723216Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.235s)
2022-11-23T01:40:48.5723460Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.955s)
2022-11-23T01:40:48.5723674Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.955s)
2022-11-23T01:40:48.5723916Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.948s)
2022-11-23T01:40:48.5724125Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.918s)
2022-11-23T01:40:48.5724328Z   test_schema_correctness_nn_functional_gelu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5724529Z   test_schema_correctness_nn_functional_gelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5724726Z   test_schema_correctness_nn_functional_gelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5724919Z   test_schema_correctness_nn_functional_gelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5725101Z   test_schema_correctness_nn_functional_glu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5725306Z   test_schema_correctness_nn_functional_glu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5725506Z   test_schema_correctness_nn_functional_glu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5725702Z   test_schema_correctness_nn_functional_glu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5725911Z   test_schema_correctness_nn_functional_grid_sample_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5726113Z   test_schema_correctness_nn_functional_grid_sample_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5726323Z   test_schema_correctness_nn_functional_grid_sample_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5726529Z   test_schema_correctness_nn_functional_group_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5726740Z   test_schema_correctness_nn_functional_group_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5726934Z   test_schema_correctness_nn_functional_group_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5727140Z   test_schema_correctness_nn_functional_group_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5727349Z   test_schema_correctness_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5727554Z   test_schema_correctness_nn_functional_hardshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5727752Z   test_schema_correctness_nn_functional_hardshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5727960Z   test_schema_correctness_nn_functional_hardshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5728176Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5728378Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5728576Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5728777Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5729002Z   test_schema_correctness_nn_functional_hardswish_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5729208Z   test_schema_correctness_nn_functional_hardswish_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5729407Z   test_schema_correctness_nn_functional_hardswish_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5729643Z   test_schema_correctness_nn_functional_hardswish_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5729853Z   test_schema_correctness_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5730057Z   test_schema_correctness_nn_functional_hardtanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5730253Z   test_schema_correctness_nn_functional_hardtanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5730461Z   test_schema_correctness_nn_functional_hardtanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5730662Z   test_schema_correctness_nn_functional_hardtanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5730857Z   test_schema_correctness_nn_functional_hardtanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5731054Z   test_schema_correctness_nn_functional_hardtanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5731253Z   test_schema_correctness_nn_functional_hardtanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5731469Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.322s)
2022-11-23T01:40:48.5731683Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T01:40:48.5731904Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.322s)
2022-11-23T01:40:48.5732114Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.322s)
2022-11-23T01:40:48.5732320Z   test_schema_correctness_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5732524Z   test_schema_correctness_nn_functional_huber_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5732724Z   test_schema_correctness_nn_functional_huber_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5732916Z   test_schema_correctness_nn_functional_huber_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5733132Z   test_schema_correctness_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5733342Z   test_schema_correctness_nn_functional_instance_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.167s)
2022-11-23T01:40:48.5733552Z   test_schema_correctness_nn_functional_instance_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.103s)
2022-11-23T01:40:48.5733762Z   test_schema_correctness_nn_functional_instance_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.101s)
2022-11-23T01:40:48.5733976Z   test_schema_correctness_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5734190Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5734402Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5734637Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5734857Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5735063Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5735304Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5735524Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5735736Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5735942Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5736160Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5736375Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5736592Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5736803Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5737018Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5737230Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5737439Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5737657Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5737874Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5738088Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5739003Z   test_schema_correctness_nn_functional_kl_div_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:40:48.5739089Z   warnings.warn(
2022-11-23T01:40:48.5739163Z ok (0.037s)
2022-11-23T01:40:48.5739368Z   test_schema_correctness_nn_functional_kl_div_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5739562Z   test_schema_correctness_nn_functional_kl_div_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5739763Z   test_schema_correctness_nn_functional_kl_div_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T01:40:48.5739956Z   test_schema_correctness_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5740161Z   test_schema_correctness_nn_functional_l1_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5740365Z   test_schema_correctness_nn_functional_l1_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5740625Z   test_schema_correctness_nn_functional_l1_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5740823Z   test_schema_correctness_nn_functional_l1_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5741024Z   test_schema_correctness_nn_functional_l1_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5741300Z   test_schema_correctness_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5741528Z   test_schema_correctness_nn_functional_layer_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5741737Z   test_schema_correctness_nn_functional_layer_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5741934Z   test_schema_correctness_nn_functional_layer_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5742136Z   test_schema_correctness_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5742342Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5742550Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5742746Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5742945Z   test_schema_correctness_nn_functional_linear_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5743151Z   test_schema_correctness_nn_functional_linear_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5743354Z   test_schema_correctness_nn_functional_linear_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5743559Z   test_schema_correctness_nn_functional_linear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5743752Z   test_schema_correctness_nn_functional_linear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5743937Z   test_schema_correctness_nn_functional_linear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5744153Z   test_schema_correctness_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.5744369Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.5744581Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5744797Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.5745002Z   test_schema_correctness_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5745203Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5745411Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5745611Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5745827Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T01:40:48.5746028Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T01:40:48.5746326Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T01:40:48.5746546Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T01:40:48.5746757Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T01:40:48.5746995Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T01:40:48.5747203Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T01:40:48.5747412Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T01:40:48.5747623Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T01:40:48.5747835Z   test_schema_correctness_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.907s)
2022-11-23T01:40:48.5748039Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.959s)
2022-11-23T01:40:48.5748235Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.942s)
2022-11-23T01:40:48.5748435Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.931s)
2022-11-23T01:40:48.5748636Z   test_schema_correctness_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (9.280s)
2022-11-23T01:40:48.5748841Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (9.393s)
2022-11-23T01:40:48.5749044Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (9.265s)
2022-11-23T01:40:48.5749245Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (9.258s)
2022-11-23T01:40:48.5749446Z   test_schema_correctness_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.603s)
2022-11-23T01:40:48.5749647Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.595s)
2022-11-23T01:40:48.5749845Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.594s)
2022-11-23T01:40:48.5750041Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.587s)
2022-11-23T01:40:48.5750320Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.332s)
2022-11-23T01:40:48.5750547Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T01:40:48.5750750Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.323s)
2022-11-23T01:40:48.5750959Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.079s)
2022-11-23T01:40:48.5751171Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.078s)
2022-11-23T01:40:48.5751381Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T01:40:48.5751585Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.290s)
2022-11-23T01:40:48.5751786Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.285s)
2022-11-23T01:40:48.5752022Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.286s)
2022-11-23T01:40:48.5752230Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.093s)
2022-11-23T01:40:48.5752450Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.093s)
2022-11-23T01:40:48.5752659Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.094s)
2022-11-23T01:40:48.5752866Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.121s)
2022-11-23T01:40:48.5753069Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.121s)
2022-11-23T01:40:48.5753272Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.118s)
2022-11-23T01:40:48.5753477Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5753684Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5753891Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5754092Z   test_schema_correctness_nn_functional_mish_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5754283Z   test_schema_correctness_nn_functional_mish_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5754482Z   test_schema_correctness_nn_functional_mish_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5754679Z   test_schema_correctness_nn_functional_mish_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5754886Z   test_schema_correctness_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5755086Z   test_schema_correctness_nn_functional_mse_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5755285Z   test_schema_correctness_nn_functional_mse_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5755486Z   test_schema_correctness_nn_functional_mse_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5755700Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5755903Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5756111Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5756304Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5756525Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5756747Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5756965Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5757176Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5757423Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5757646Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5757860Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5758108Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5758311Z   test_schema_correctness_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.5758503Z   test_schema_correctness_nn_functional_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.061s)
2022-11-23T01:40:48.5758702Z   test_schema_correctness_nn_functional_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5758905Z   test_schema_correctness_nn_functional_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5759112Z   test_schema_correctness_nn_functional_normalize_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5759322Z   test_schema_correctness_nn_functional_normalize_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5759531Z   test_schema_correctness_nn_functional_normalize_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.5759734Z   test_schema_correctness_nn_functional_normalize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5759937Z   test_schema_correctness_nn_functional_normalize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5760136Z   test_schema_correctness_nn_functional_normalize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T01:40:48.5760334Z   test_schema_correctness_nn_functional_one_hot_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5760533Z   test_schema_correctness_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.131s)
2022-11-23T01:40:48.5760741Z   test_schema_correctness_nn_functional_pad_circular_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5760952Z   test_schema_correctness_nn_functional_pad_circular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.130s)
2022-11-23T01:40:48.5761165Z   test_schema_correctness_nn_functional_pad_circular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.130s)
2022-11-23T01:40:48.5761374Z   test_schema_correctness_nn_functional_pad_circular_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.127s)
2022-11-23T01:40:48.5761583Z   test_schema_correctness_nn_functional_pad_circular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.126s)
2022-11-23T01:40:48.5761784Z   test_schema_correctness_nn_functional_pad_circular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.126s)
2022-11-23T01:40:48.5761987Z   test_schema_correctness_nn_functional_pad_circular_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.124s)
2022-11-23T01:40:48.5762196Z   test_schema_correctness_nn_functional_pad_circular_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.125s)
2022-11-23T01:40:48.5762398Z   test_schema_correctness_nn_functional_pad_circular_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.130s)
2022-11-23T01:40:48.5762595Z   test_schema_correctness_nn_functional_pad_circular_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.126s)
2022-11-23T01:40:48.5762799Z   test_schema_correctness_nn_functional_pad_circular_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.126s)
2022-11-23T01:40:48.5763030Z   test_schema_correctness_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5763235Z   test_schema_correctness_nn_functional_pad_constant_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5763445Z   test_schema_correctness_nn_functional_pad_constant_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5763680Z   test_schema_correctness_nn_functional_pad_constant_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5763884Z   test_schema_correctness_nn_functional_pad_constant_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5764089Z   test_schema_correctness_nn_functional_pad_constant_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5764288Z   test_schema_correctness_nn_functional_pad_constant_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5764494Z   test_schema_correctness_nn_functional_pad_constant_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5764688Z   test_schema_correctness_nn_functional_pad_constant_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5764894Z   test_schema_correctness_nn_functional_pad_constant_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5765097Z   test_schema_correctness_nn_functional_pad_constant_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5765300Z   test_schema_correctness_nn_functional_pad_constant_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5765507Z   test_schema_correctness_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5765717Z   test_schema_correctness_nn_functional_pad_reflect_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5765929Z   test_schema_correctness_nn_functional_pad_reflect_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5766133Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5766340Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5766535Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5766750Z   test_schema_correctness_nn_functional_pad_replicate_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5766963Z   test_schema_correctness_nn_functional_pad_replicate_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5767170Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5767380Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5767580Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5767797Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5768020Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5768238Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5768450Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.5768689Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5768901Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5769112Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5769348Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5769557Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5769767Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5769974Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5770177Z   test_schema_correctness_nn_functional_pdist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5770376Z   test_schema_correctness_nn_functional_pdist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5770587Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5770785Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5770995Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5771204Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5771436Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5771669Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5771869Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5772076Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5772279Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5772486Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5772689Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5772885Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5773098Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5773305Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5773523Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5773734Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5773944Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5774149Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5774380Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5774584Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5774812Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5775003Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5775209Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5775415Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5775628Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.353s)
2022-11-23T01:40:48.5775835Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5776044Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.354s)
2022-11-23T01:40:48.5776260Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5776468Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.351s)
2022-11-23T01:40:48.5776673Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.351s)
2022-11-23T01:40:48.5776874Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.354s)
2022-11-23T01:40:48.5777075Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.353s)
2022-11-23T01:40:48.5777284Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.349s)
2022-11-23T01:40:48.5777486Z   test_schema_correctness_nn_functional_prelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5777685Z   test_schema_correctness_nn_functional_prelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5777885Z   test_schema_correctness_nn_functional_prelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5778087Z   test_schema_correctness_nn_functional_relu6_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5778280Z   test_schema_correctness_nn_functional_relu6_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5778472Z   test_schema_correctness_nn_functional_relu6_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5778670Z   test_schema_correctness_nn_functional_relu6_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5779120Z   test_schema_correctness_nn_functional_relu6_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5779323Z   test_schema_correctness_nn_functional_relu6_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5779520Z   test_schema_correctness_nn_functional_relu6_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5779718Z   test_schema_correctness_nn_functional_relu6_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5779911Z   test_schema_correctness_nn_functional_relu6_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5780200Z   test_schema_correctness_nn_functional_relu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5780401Z   test_schema_correctness_nn_functional_relu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5780601Z   test_schema_correctness_nn_functional_relu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5780848Z   test_schema_correctness_nn_functional_relu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5781045Z   test_schema_correctness_nn_functional_relu_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5781231Z   test_schema_correctness_nn_functional_relu_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5781425Z   test_schema_correctness_nn_functional_relu_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5781622Z   test_schema_correctness_nn_functional_relu_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5781814Z   test_schema_correctness_nn_functional_relu_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5782017Z   test_schema_correctness_nn_functional_rrelu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.5782214Z   test_schema_correctness_nn_functional_rrelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5782406Z   test_schema_correctness_nn_functional_rrelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.5782595Z   test_schema_correctness_nn_functional_rrelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5782784Z   test_schema_correctness_nn_functional_selu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5782973Z   test_schema_correctness_nn_functional_selu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5783166Z   test_schema_correctness_nn_functional_selu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5783356Z   test_schema_correctness_nn_functional_selu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5783555Z   test_schema_correctness_nn_functional_silu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5783754Z   test_schema_correctness_nn_functional_silu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5783946Z   test_schema_correctness_nn_functional_silu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5784134Z   test_schema_correctness_nn_functional_silu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5784342Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5784549Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5784756Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5784960Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5785174Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5785385Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5785591Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5785824Z   test_schema_correctness_nn_functional_softmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5786026Z   test_schema_correctness_nn_functional_softmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5786224Z   test_schema_correctness_nn_functional_softmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5786447Z   test_schema_correctness_nn_functional_softmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5786661Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T01:40:48.5786878Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5787087Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5787303Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5787515Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5787729Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5787938Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T01:40:48.5788146Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T01:40:48.5788354Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T01:40:48.5788565Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5788769Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5788973Z   test_schema_correctness_nn_functional_softplus_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5789171Z   test_schema_correctness_nn_functional_softplus_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5789376Z   test_schema_correctness_nn_functional_softplus_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5789574Z   test_schema_correctness_nn_functional_softplus_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5789779Z   test_schema_correctness_nn_functional_softshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5789989Z   test_schema_correctness_nn_functional_softshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5790283Z   test_schema_correctness_nn_functional_softshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5790504Z   test_schema_correctness_nn_functional_softshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5790736Z   test_schema_correctness_nn_functional_softsign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5791146Z   test_schema_correctness_nn_functional_softsign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5791353Z   test_schema_correctness_nn_functional_softsign_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5791559Z   test_schema_correctness_nn_functional_softsign_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5791799Z   test_schema_correctness_nn_functional_softsign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5792003Z   test_schema_correctness_nn_functional_softsign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5792203Z   test_schema_correctness_nn_functional_softsign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5792433Z   test_schema_correctness_nn_functional_softsign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5792627Z   test_schema_correctness_nn_functional_softsign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5792819Z   test_schema_correctness_nn_functional_softsign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5793017Z   test_schema_correctness_nn_functional_softsign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5793220Z   test_schema_correctness_nn_functional_softsign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5793418Z   test_schema_correctness_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5793631Z   test_schema_correctness_nn_functional_tanhshrink_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5793843Z   test_schema_correctness_nn_functional_tanhshrink_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5794046Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5794253Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5794453Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5794658Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5794854Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5795060Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5795260Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5795451Z   test_schema_correctness_nn_functional_tanhshrink_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5795655Z   test_schema_correctness_nn_functional_threshold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5795861Z   test_schema_correctness_nn_functional_threshold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5796068Z   test_schema_correctness_nn_functional_threshold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5796275Z   test_schema_correctness_nn_functional_threshold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5796477Z   test_schema_correctness_nn_functional_threshold_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5796673Z   test_schema_correctness_nn_functional_threshold_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5796865Z   test_schema_correctness_nn_functional_threshold_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5797062Z   test_schema_correctness_nn_functional_threshold_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5797287Z   test_schema_correctness_nn_functional_threshold_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5797505Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5797725Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5797969Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.5798182Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5798394Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5798610Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5798824Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5799036Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T01:40:48.5799247Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5799448Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5799656Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5799887Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5800125Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5800352Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5800580Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5800809Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5801033Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.5801255Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5801479Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5801703Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5801917Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5802138Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.5802340Z   test_schema_correctness_nn_functional_unfold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.363s)
2022-11-23T01:40:48.5802544Z   test_schema_correctness_nn_functional_unfold_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.373s)
2022-11-23T01:40:48.5802746Z   test_schema_correctness_nn_functional_unfold_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.372s)
2022-11-23T01:40:48.5802979Z   test_schema_correctness_nn_functional_unfold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5803177Z   test_schema_correctness_nn_functional_unfold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.357s)
2022-11-23T01:40:48.5803406Z   test_schema_correctness_nn_functional_unfold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.349s)
2022-11-23T01:40:48.5804079Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:40:48.5804285Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:40:48.5804351Z ok (0.004s)
2022-11-23T01:40:48.5804569Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5804782Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5805341Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:40:48.5805545Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:40:48.5805617Z ok (0.008s)
2022-11-23T01:40:48.5805827Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5806037Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5806248Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5806439Z   test_schema_correctness_nonzero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5806620Z   test_schema_correctness_nonzero_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5806814Z   test_schema_correctness_nonzero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5807007Z   test_schema_correctness_nonzero_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5807197Z   test_schema_correctness_nonzero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5807384Z   test_schema_correctness_nonzero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5807573Z   test_schema_correctness_nonzero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5807759Z   test_schema_correctness_nonzero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5807943Z   test_schema_correctness_nonzero_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5808123Z   test_schema_correctness_nonzero_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5808300Z   test_schema_correctness_nonzero_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5808484Z   test_schema_correctness_nonzero_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5808664Z   test_schema_correctness_nonzero_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5808842Z   test_schema_correctness_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5809059Z   test_schema_correctness_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5809248Z   test_schema_correctness_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5809433Z   test_schema_correctness_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5809636Z   test_schema_correctness_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5809816Z   test_schema_correctness_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5809998Z   test_schema_correctness_norm_fro_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5810207Z   test_schema_correctness_norm_fro_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5810417Z   test_schema_correctness_norm_fro_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.5810606Z   test_schema_correctness_norm_fro_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5810791Z   test_schema_correctness_norm_fro_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5810975Z   test_schema_correctness_norm_fro_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5811164Z   test_schema_correctness_norm_inf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5811356Z   test_schema_correctness_norm_inf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5811550Z   test_schema_correctness_norm_inf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5811728Z   test_schema_correctness_norm_inf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5811911Z   test_schema_correctness_norm_inf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5812097Z   test_schema_correctness_norm_inf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5812287Z   test_schema_correctness_norm_nuc_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5812479Z   test_schema_correctness_norm_nuc_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5812662Z   test_schema_correctness_norm_nuc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5812843Z   test_schema_correctness_norm_nuc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5813029Z   test_schema_correctness_normal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5813215Z   test_schema_correctness_normal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5813396Z   test_schema_correctness_normal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5813583Z   test_schema_correctness_normal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5813782Z   test_schema_correctness_normal_number_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5813982Z   test_schema_correctness_normal_number_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5814174Z   test_schema_correctness_normal_number_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5814373Z   test_schema_correctness_normal_number_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5814558Z   test_schema_correctness_ones_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5814769Z   test_schema_correctness_ones_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5814956Z   test_schema_correctness_ones_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5815133Z   test_schema_correctness_ones_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5815344Z   test_schema_correctness_ones_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5815531Z   test_schema_correctness_ones_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5815712Z   test_schema_correctness_ones_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5815889Z   test_schema_correctness_ones_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816070Z   test_schema_correctness_ones_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816249Z   test_schema_correctness_ones_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816432Z   test_schema_correctness_ones_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816608Z   test_schema_correctness_ones_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816784Z   test_schema_correctness_ones_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5816978Z   test_schema_correctness_ones_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5817162Z   test_schema_correctness_ones_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5817356Z   test_schema_correctness_ones_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5817549Z   test_schema_correctness_ones_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5817746Z   test_schema_correctness_ones_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5817937Z   test_schema_correctness_ones_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5818125Z   test_schema_correctness_ones_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5818311Z   test_schema_correctness_ones_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5818490Z   test_schema_correctness_ones_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5818679Z   test_schema_correctness_ones_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5819141Z   test_schema_correctness_ones_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5819332Z   test_schema_correctness_ones_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5819512Z   test_schema_correctness_ones_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5819703Z   test_schema_correctness_ormqr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.148s)
2022-11-23T01:40:48.5819892Z   test_schema_correctness_ormqr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T01:40:48.5820077Z   test_schema_correctness_ormqr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.141s)
2022-11-23T01:40:48.5820261Z   test_schema_correctness_ormqr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T01:40:48.5820436Z   test_schema_correctness_outer_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5820618Z   test_schema_correctness_outer_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5820901Z   test_schema_correctness_outer_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5821090Z   test_schema_correctness_outer_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5821275Z   test_schema_correctness_outer_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5821509Z   test_schema_correctness_outer_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5821686Z   test_schema_correctness_outer_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5821868Z   test_schema_correctness_outer_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5822045Z   test_schema_correctness_outer_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5822218Z   test_schema_correctness_outer_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5822398Z   test_schema_correctness_outer_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5822574Z   test_schema_correctness_outer_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5822767Z   test_schema_correctness_pca_lowrank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.883s)
2022-11-23T01:40:48.5822961Z   test_schema_correctness_pca_lowrank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.893s)
2022-11-23T01:40:48.5823149Z   test_schema_correctness_permute_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5823337Z   test_schema_correctness_permute_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5823530Z   test_schema_correctness_permute_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5823717Z   test_schema_correctness_permute_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5823902Z   test_schema_correctness_permute_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5824085Z   test_schema_correctness_permute_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T01:40:48.5824275Z   test_schema_correctness_permute_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5824460Z   test_schema_correctness_permute_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5824645Z   test_schema_correctness_permute_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5824827Z   test_schema_correctness_permute_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5825007Z   test_schema_correctness_permute_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5825195Z   test_schema_correctness_permute_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5825374Z   test_schema_correctness_permute_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5825561Z   test_schema_correctness_pinverse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.498s)
2022-11-23T01:40:48.5825756Z   test_schema_correctness_pinverse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.484s)
2022-11-23T01:40:48.5825944Z   test_schema_correctness_pinverse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.480s)
2022-11-23T01:40:48.5826134Z   test_schema_correctness_pinverse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.485s)
2022-11-23T01:40:48.5826316Z   test_schema_correctness_polar_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5826494Z   test_schema_correctness_polar_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5826726Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5826934Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5827138Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5827371Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5827574Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5827775Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5827971Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5828175Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5828369Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5828567Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5828771Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5828971Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5829167Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5829359Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5829556Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5829748Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5829944Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5830248Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5830450Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5830651Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5830848Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5831049Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5831236Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5831433Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5831625Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5831820Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5832014Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5832207Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5832434Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5832632Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5832917Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5833120Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5833307Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5833501Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5833700Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5833899Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5834096Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5834296Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5834495Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5834697Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5834896Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5835082Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5835278Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5835477Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5835673Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5835863Z   test_schema_correctness_positive_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836057Z   test_schema_correctness_positive_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836249Z   test_schema_correctness_positive_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836440Z   test_schema_correctness_positive_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836630Z   test_schema_correctness_positive_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836816Z   test_schema_correctness_positive_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5836996Z   test_schema_correctness_positive_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5837188Z   test_schema_correctness_positive_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5837377Z   test_schema_correctness_positive_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5837566Z   test_schema_correctness_positive_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5837751Z   test_schema_correctness_positive_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5837934Z   test_schema_correctness_positive_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5838155Z   test_schema_correctness_pow_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5838346Z   test_schema_correctness_pow_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5838523Z   test_schema_correctness_pow_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5838733Z   test_schema_correctness_pow_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5838915Z   test_schema_correctness_pow_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5839096Z   test_schema_correctness_pow_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5839271Z   test_schema_correctness_pow_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5839449Z   test_schema_correctness_pow_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5839630Z   test_schema_correctness_pow_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.5839811Z   test_schema_correctness_pow_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5839989Z   test_schema_correctness_pow_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5840165Z   test_schema_correctness_pow_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.5840348Z   test_schema_correctness_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5840528Z   test_schema_correctness_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5840717Z   test_schema_correctness_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5840906Z   test_schema_correctness_prod_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5841093Z   test_schema_correctness_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5841283Z   test_schema_correctness_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5841495Z   test_schema_correctness_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5841697Z   test_schema_correctness_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5841870Z   test_schema_correctness_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5842047Z   test_schema_correctness_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5842222Z   test_schema_correctness_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5842400Z   test_schema_correctness_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5842581Z   test_schema_correctness_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5842765Z   test_schema_correctness_put_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5842944Z   test_schema_correctness_put_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5843132Z   test_schema_correctness_put_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5843317Z   test_schema_correctness_put_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5843491Z   test_schema_correctness_put_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5843670Z   test_schema_correctness_put_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5843878Z   test_schema_correctness_put_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5844059Z   test_schema_correctness_put_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5844235Z   test_schema_correctness_put_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5844435Z   test_schema_correctness_put_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5844615Z   test_schema_correctness_put_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5844796Z   test_schema_correctness_put_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5845457Z   test_schema_correctness_qr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:40:48.5845684Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:40:48.5845763Z Q, R = torch.qr(A, some)
2022-11-23T01:40:48.5845850Z should be replaced with
2022-11-23T01:40:48.5846208Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
2022-11-23T01:40:48.5846307Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5846383Z ok (0.041s)
2022-11-23T01:40:48.5846575Z   test_schema_correctness_qr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5846757Z   test_schema_correctness_qr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5846925Z   test_schema_correctness_qr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5847117Z   test_schema_correctness_quantile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.966s)
2022-11-23T01:40:48.5847311Z   test_schema_correctness_quantile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.963s)
2022-11-23T01:40:48.5847503Z   test_schema_correctness_rad2deg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5847688Z   test_schema_correctness_rad2deg_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5847881Z   test_schema_correctness_rad2deg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848069Z   test_schema_correctness_rad2deg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848254Z   test_schema_correctness_rad2deg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848444Z   test_schema_correctness_rad2deg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848619Z   test_schema_correctness_rad2deg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848808Z   test_schema_correctness_rad2deg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5848994Z   test_schema_correctness_rad2deg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5849175Z   test_schema_correctness_rad2deg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5849370Z   test_schema_correctness_rand_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5849566Z   test_schema_correctness_rand_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5849759Z   test_schema_correctness_rand_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5849949Z   test_schema_correctness_rand_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5850172Z   test_schema_correctness_rand_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5850355Z   test_schema_correctness_rand_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5850539Z   test_schema_correctness_rand_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5850754Z   test_schema_correctness_randint_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.078s)
2022-11-23T01:40:48.5850944Z   test_schema_correctness_randint_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T01:40:48.5851131Z   test_schema_correctness_randint_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5851318Z   test_schema_correctness_randint_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5851501Z   test_schema_correctness_randint_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5851683Z   test_schema_correctness_randint_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5851861Z   test_schema_correctness_randint_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5852037Z   test_schema_correctness_randint_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5852219Z   test_schema_correctness_randint_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T01:40:48.5852413Z   test_schema_correctness_randint_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5852604Z   test_schema_correctness_randint_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5852796Z   test_schema_correctness_randint_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5852982Z   test_schema_correctness_randint_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5853174Z   test_schema_correctness_randint_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5853365Z   test_schema_correctness_randint_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5853557Z   test_schema_correctness_randint_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T01:40:48.5853736Z   test_schema_correctness_randint_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T01:40:48.5853922Z   test_schema_correctness_randint_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5854111Z   test_schema_correctness_randn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5854302Z   test_schema_correctness_randn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5854494Z   test_schema_correctness_randn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5854683Z   test_schema_correctness_randn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5854867Z   test_schema_correctness_randn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5855051Z   test_schema_correctness_randn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5855229Z   test_schema_correctness_randn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.5855413Z   test_schema_correctness_randn_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5855612Z   test_schema_correctness_randn_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5855806Z   test_schema_correctness_randn_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5856027Z   test_schema_correctness_randn_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5856217Z   test_schema_correctness_randn_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5856407Z   test_schema_correctness_randn_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5856617Z   test_schema_correctness_randn_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5856803Z   test_schema_correctness_ravel_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5856988Z   test_schema_correctness_ravel_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5857170Z   test_schema_correctness_ravel_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5857362Z   test_schema_correctness_ravel_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5857550Z   test_schema_correctness_ravel_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5857731Z   test_schema_correctness_ravel_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5857916Z   test_schema_correctness_ravel_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5858100Z   test_schema_correctness_ravel_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5858283Z   test_schema_correctness_ravel_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5858459Z   test_schema_correctness_ravel_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5858642Z   test_schema_correctness_ravel_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5859097Z   test_schema_correctness_ravel_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5859281Z   test_schema_correctness_ravel_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5859469Z   test_schema_correctness_real_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5859651Z   test_schema_correctness_real_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5859840Z   test_schema_correctness_real_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5860027Z   test_schema_correctness_real_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5860212Z   test_schema_correctness_real_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5860397Z   test_schema_correctness_real_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5860580Z   test_schema_correctness_real_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5860750Z   test_schema_correctness_real_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5860929Z   test_schema_correctness_real_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5861107Z   test_schema_correctness_real_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5861279Z   test_schema_correctness_real_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5861455Z   test_schema_correctness_real_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5861636Z   test_schema_correctness_real_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5861830Z   test_schema_correctness_reciprocal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5862109Z   test_schema_correctness_reciprocal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5862309Z   test_schema_correctness_reciprocal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5862499Z   test_schema_correctness_reciprocal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5862756Z   test_schema_correctness_reciprocal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5862947Z   test_schema_correctness_reciprocal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5863138Z   test_schema_correctness_reciprocal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5863329Z   test_schema_correctness_reciprocal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5863520Z   test_schema_correctness_reciprocal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5863710Z   test_schema_correctness_reciprocal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5863896Z   test_schema_correctness_reciprocal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5864090Z   test_schema_correctness_reciprocal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5864272Z   test_schema_correctness_remainder_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5864460Z   test_schema_correctness_remainder_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5864649Z   test_schema_correctness_remainder_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5864832Z   test_schema_correctness_remainder_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5865022Z   test_schema_correctness_remainder_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5865209Z   test_schema_correctness_remainder_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5865390Z   test_schema_correctness_remainder_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5865582Z   test_schema_correctness_remainder_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5865769Z   test_schema_correctness_remainder_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5865944Z   test_schema_correctness_renorm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5866135Z   test_schema_correctness_renorm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5866326Z   test_schema_correctness_renorm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5866511Z   test_schema_correctness_renorm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5866692Z   test_schema_correctness_renorm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5866876Z   test_schema_correctness_renorm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5867064Z   test_schema_correctness_repeat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5867249Z   test_schema_correctness_repeat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5867439Z   test_schema_correctness_repeat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.5867617Z   test_schema_correctness_repeat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5867798Z   test_schema_correctness_repeat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868016Z   test_schema_correctness_repeat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868203Z   test_schema_correctness_repeat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868411Z   test_schema_correctness_repeat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868596Z   test_schema_correctness_repeat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868779Z   test_schema_correctness_repeat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5868960Z   test_schema_correctness_repeat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5869141Z   test_schema_correctness_repeat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5869338Z   test_schema_correctness_repeat_interleave_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5869539Z   test_schema_correctness_repeat_interleave_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5869744Z   test_schema_correctness_repeat_interleave_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.5869946Z   test_schema_correctness_repeat_interleave_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5870235Z   test_schema_correctness_repeat_interleave_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5870460Z   test_schema_correctness_repeat_interleave_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5870682Z   test_schema_correctness_repeat_interleave_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5870906Z   test_schema_correctness_repeat_interleave_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5871178Z   test_schema_correctness_repeat_interleave_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5871371Z   test_schema_correctness_repeat_interleave_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5871598Z   test_schema_correctness_repeat_interleave_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5871818Z   test_schema_correctness_repeat_interleave_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5872015Z   test_schema_correctness_repeat_interleave_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T01:40:48.5872208Z   test_schema_correctness_reshape_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5872397Z   test_schema_correctness_reshape_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5872594Z   test_schema_correctness_reshape_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5872788Z   test_schema_correctness_reshape_as_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5872982Z   test_schema_correctness_reshape_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5873176Z   test_schema_correctness_reshape_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5873360Z   test_schema_correctness_reshape_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5873546Z   test_schema_correctness_reshape_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5873736Z   test_schema_correctness_reshape_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5873961Z   test_schema_correctness_reshape_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5874146Z   test_schema_correctness_reshape_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5874334Z   test_schema_correctness_reshape_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5874555Z   test_schema_correctness_reshape_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5874744Z   test_schema_correctness_reshape_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5874930Z   test_schema_correctness_reshape_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5875114Z   test_schema_correctness_reshape_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5875307Z   test_schema_correctness_reshape_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5875502Z   test_schema_correctness_reshape_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5875690Z   test_schema_correctness_reshape_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5875877Z   test_schema_correctness_reshape_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876062Z   test_schema_correctness_reshape_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876248Z   test_schema_correctness_reshape_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876427Z   test_schema_correctness_reshape_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876604Z   test_schema_correctness_reshape_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876782Z   test_schema_correctness_reshape_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5876968Z   test_schema_correctness_reshape_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5877156Z   test_schema_correctness_resize__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5877339Z   test_schema_correctness_resize__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5877532Z   test_schema_correctness_resize__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5877723Z   test_schema_correctness_resize__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5877906Z   test_schema_correctness_resize__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878087Z   test_schema_correctness_resize__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878266Z   test_schema_correctness_resize__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878448Z   test_schema_correctness_resize__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878629Z   test_schema_correctness_resize__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878809Z   test_schema_correctness_resize__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5878988Z   test_schema_correctness_resize__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5879167Z   test_schema_correctness_resize__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.5879358Z   test_schema_correctness_resize_as__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5879541Z   test_schema_correctness_resize_as__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5879765Z   test_schema_correctness_resize_as__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5879951Z   test_schema_correctness_resize_as__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5880141Z   test_schema_correctness_resize_as__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5880354Z   test_schema_correctness_resize_as__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5880540Z   test_schema_correctness_resize_as__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5880725Z   test_schema_correctness_resize_as__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5880908Z   test_schema_correctness_resize_as__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5881094Z   test_schema_correctness_resize_as__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5881282Z   test_schema_correctness_resize_as__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5881465Z   test_schema_correctness_resize_as__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5881663Z   test_schema_correctness_resolve_conj_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5881847Z   test_schema_correctness_resolve_conj_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5882046Z   test_schema_correctness_resolve_conj_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5882243Z   test_schema_correctness_resolve_conj_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5882436Z   test_schema_correctness_resolve_conj_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5882631Z   test_schema_correctness_resolve_conj_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5882819Z   test_schema_correctness_resolve_conj_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883009Z   test_schema_correctness_resolve_conj_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883203Z   test_schema_correctness_resolve_conj_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883390Z   test_schema_correctness_resolve_conj_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883570Z   test_schema_correctness_resolve_conj_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883761Z   test_schema_correctness_resolve_conj_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5883951Z   test_schema_correctness_resolve_neg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5884142Z   test_schema_correctness_resolve_neg_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5884337Z   test_schema_correctness_resolve_neg_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5884537Z   test_schema_correctness_resolve_neg_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5884731Z   test_schema_correctness_resolve_neg_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5884924Z   test_schema_correctness_resolve_neg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5885113Z   test_schema_correctness_resolve_neg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5885295Z   test_schema_correctness_resolve_neg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5885512Z   test_schema_correctness_resolve_neg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5885703Z   test_schema_correctness_resolve_neg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5885891Z   test_schema_correctness_resolve_neg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5886102Z   test_schema_correctness_resolve_neg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5886290Z   test_schema_correctness_resolve_neg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5886475Z   test_schema_correctness_roll_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5886656Z   test_schema_correctness_roll_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5886845Z   test_schema_correctness_roll_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5887028Z   test_schema_correctness_roll_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5887214Z   test_schema_correctness_roll_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5887399Z   test_schema_correctness_roll_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5887582Z   test_schema_correctness_roll_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T01:40:48.5887760Z   test_schema_correctness_roll_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5887940Z   test_schema_correctness_roll_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5888121Z   test_schema_correctness_roll_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5888299Z   test_schema_correctness_roll_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5888484Z   test_schema_correctness_roll_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T01:40:48.5888657Z   test_schema_correctness_roll_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T01:40:48.5888843Z   test_schema_correctness_rot90_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5889024Z   test_schema_correctness_rot90_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5889211Z   test_schema_correctness_rot90_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.5889398Z   test_schema_correctness_rot90_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5889580Z   test_schema_correctness_rot90_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5889762Z   test_schema_correctness_rot90_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.5889945Z   test_schema_correctness_rot90_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5890127Z   test_schema_correctness_rot90_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5890298Z   test_schema_correctness_rot90_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5890472Z   test_schema_correctness_rot90_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5890649Z   test_schema_correctness_rot90_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5890828Z   test_schema_correctness_rot90_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.5891018Z   test_schema_correctness_round_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5891230Z   test_schema_correctness_round_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5891409Z   test_schema_correctness_round_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5891591Z   test_schema_correctness_round_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5891787Z   test_schema_correctness_round_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5891962Z   test_schema_correctness_round_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5892135Z   test_schema_correctness_round_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5892311Z   test_schema_correctness_round_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5892493Z   test_schema_correctness_round_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5892696Z   test_schema_correctness_round_decimals_0_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5892895Z   test_schema_correctness_round_decimals_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5893091Z   test_schema_correctness_round_decimals_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5893289Z   test_schema_correctness_round_decimals_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5893485Z   test_schema_correctness_round_decimals_3_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5893671Z   test_schema_correctness_round_decimals_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5893867Z   test_schema_correctness_round_decimals_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5894060Z   test_schema_correctness_round_decimals_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5894264Z   test_schema_correctness_round_decimals_neg_3_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5894464Z   test_schema_correctness_round_decimals_neg_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5894660Z   test_schema_correctness_round_decimals_neg_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5894862Z   test_schema_correctness_round_decimals_neg_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5895050Z   test_schema_correctness_rsqrt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5895230Z   test_schema_correctness_rsqrt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5895411Z   test_schema_correctness_rsqrt_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5895602Z   test_schema_correctness_rsqrt_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5895785Z   test_schema_correctness_rsqrt_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5895968Z   test_schema_correctness_rsqrt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5896149Z   test_schema_correctness_rsqrt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5896325Z   test_schema_correctness_rsqrt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5896507Z   test_schema_correctness_rsqrt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5896687Z   test_schema_correctness_rsqrt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5896865Z   test_schema_correctness_rsqrt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5897071Z   test_schema_correctness_rsqrt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5897253Z   test_schema_correctness_rsqrt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5897440Z   test_schema_correctness_rsub_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5897655Z   test_schema_correctness_rsub_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5897843Z   test_schema_correctness_rsub_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5898028Z   test_schema_correctness_rsub_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5898211Z   test_schema_correctness_rsub_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5898386Z   test_schema_correctness_rsub_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5898567Z   test_schema_correctness_rsub_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5898733Z   test_schema_correctness_rsub_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5899290Z   test_schema_correctness_rsub_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5899481Z   test_schema_correctness_rsub_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5899659Z   test_schema_correctness_rsub_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5899857Z   test_schema_correctness_scalar_tensor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5900051Z   test_schema_correctness_scalar_tensor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5900252Z   test_schema_correctness_scalar_tensor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5900449Z   test_schema_correctness_scalar_tensor_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5900649Z   test_schema_correctness_scalar_tensor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5900837Z   test_schema_correctness_scalar_tensor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5901045Z   test_schema_correctness_scalar_tensor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5901262Z   test_schema_correctness_scalar_tensor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5901460Z   test_schema_correctness_scalar_tensor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5901652Z   test_schema_correctness_scalar_tensor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.5901846Z   test_schema_correctness_scalar_tensor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5902036Z   test_schema_correctness_scalar_tensor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5902231Z   test_schema_correctness_scalar_tensor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5902427Z   test_schema_correctness_scatter_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5902610Z   test_schema_correctness_scatter_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5902809Z   test_schema_correctness_scatter_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5903004Z   test_schema_correctness_scatter_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.5903293Z   test_schema_correctness_scatter_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5903485Z   test_schema_correctness_scatter_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5903679Z   test_schema_correctness_scatter_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5903936Z   test_schema_correctness_scatter_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5904125Z   test_schema_correctness_scatter_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5904315Z   test_schema_correctness_scatter_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5904493Z   test_schema_correctness_scatter_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5904687Z   test_schema_correctness_scatter_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.5904878Z   test_schema_correctness_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T01:40:48.5905064Z   test_schema_correctness_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5905260Z   test_schema_correctness_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.5905450Z   test_schema_correctness_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.5905636Z   test_schema_correctness_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5905822Z   test_schema_correctness_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5906012Z   test_schema_correctness_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5906190Z   test_schema_correctness_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5906372Z   test_schema_correctness_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5906552Z   test_schema_correctness_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5906738Z   test_schema_correctness_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.5906917Z   test_schema_correctness_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.5907698Z   test_schema_correctness_scatter_reduce_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T01:40:48.5907795Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5907874Z ok (0.025s)
2022-11-23T01:40:48.5908077Z   test_schema_correctness_scatter_reduce_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5908264Z   test_schema_correctness_scatter_reduce_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5908458Z   test_schema_correctness_scatter_reduce_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5908655Z   test_schema_correctness_scatter_reduce_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5908851Z   test_schema_correctness_scatter_reduce_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5909046Z   test_schema_correctness_scatter_reduce_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5909273Z   test_schema_correctness_scatter_reduce_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5909474Z   test_schema_correctness_scatter_reduce_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5909678Z   test_schema_correctness_scatter_reduce_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5909910Z   test_schema_correctness_scatter_reduce_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5910476Z   test_schema_correctness_scatter_reduce_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5910899Z   test_schema_correctness_scatter_reduce_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5911309Z   test_schema_correctness_scatter_reduce_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5911723Z   test_schema_correctness_scatter_reduce_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5912130Z   test_schema_correctness_scatter_reduce_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5912548Z   test_schema_correctness_scatter_reduce_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5912973Z   test_schema_correctness_scatter_reduce_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5913391Z   test_schema_correctness_scatter_reduce_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5913807Z   test_schema_correctness_scatter_reduce_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5914212Z   test_schema_correctness_scatter_reduce_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5914623Z   test_schema_correctness_scatter_reduce_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5915037Z   test_schema_correctness_scatter_reduce_mean_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5915439Z   test_schema_correctness_scatter_reduce_mean_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5915853Z   test_schema_correctness_scatter_reduce_mean_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.5916270Z   test_schema_correctness_scatter_reduce_mean_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5916681Z   test_schema_correctness_scatter_reduce_mean_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5917085Z   test_schema_correctness_scatter_reduce_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5917511Z   test_schema_correctness_scatter_reduce_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5917925Z   test_schema_correctness_scatter_reduce_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5918326Z   test_schema_correctness_scatter_reduce_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5918736Z   test_schema_correctness_scatter_reduce_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5919142Z   test_schema_correctness_scatter_reduce_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5919544Z   test_schema_correctness_scatter_reduce_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5919947Z   test_schema_correctness_scatter_reduce_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5920358Z   test_schema_correctness_scatter_reduce_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5920806Z   test_schema_correctness_scatter_reduce_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5921220Z   test_schema_correctness_scatter_reduce_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5921628Z   test_schema_correctness_scatter_reduce_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5922068Z   test_schema_correctness_scatter_reduce_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5922475Z   test_schema_correctness_scatter_reduce_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5922888Z   test_schema_correctness_scatter_reduce_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5923286Z   test_schema_correctness_scatter_reduce_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5923711Z   test_schema_correctness_scatter_reduce_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5924144Z   test_schema_correctness_scatter_reduce_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.5924551Z   test_schema_correctness_scatter_reduce_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T01:40:48.5925731Z   test_schema_correctness_searchsorted_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2022-11-23T01:40:48.5926517Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5927416Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2022-11-23T01:40:48.5928057Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.5928259Z ok (0.167s)
2022-11-23T01:40:48.5928587Z   test_schema_correctness_searchsorted_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.161s)
2022-11-23T01:40:48.5929032Z   test_schema_correctness_searchsorted_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.163s)
2022-11-23T01:40:48.5929443Z   test_schema_correctness_searchsorted_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.159s)
2022-11-23T01:40:48.5929868Z   test_schema_correctness_searchsorted_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.161s)
2022-11-23T01:40:48.5930294Z   test_schema_correctness_searchsorted_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T01:40:48.5930701Z   test_schema_correctness_searchsorted_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.169s)
2022-11-23T01:40:48.5931113Z   test_schema_correctness_searchsorted_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.160s)
2022-11-23T01:40:48.5931566Z   test_schema_correctness_segment_reduce_lengths_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T01:40:48.5931990Z   test_schema_correctness_segment_reduce_lengths_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.100s)
2022-11-23T01:40:48.5932416Z   test_schema_correctness_segment_reduce_lengths_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.099s)
2022-11-23T01:40:48.5932871Z   test_schema_correctness_segment_reduce_lengths_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.101s)
2022-11-23T01:40:48.5933304Z   test_schema_correctness_segment_reduce_offsets_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T01:40:48.5933729Z   test_schema_correctness_segment_reduce_offsets_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.096s)
2022-11-23T01:40:48.5934178Z   test_schema_correctness_segment_reduce_offsets_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.096s)
2022-11-23T01:40:48.5934592Z   test_schema_correctness_segment_reduce_offsets_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.101s)
2022-11-23T01:40:48.5934997Z   test_schema_correctness_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5935390Z   test_schema_correctness_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5935790Z   test_schema_correctness_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5936184Z   test_schema_correctness_select_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5936584Z   test_schema_correctness_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5936981Z   test_schema_correctness_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5937364Z   test_schema_correctness_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5937761Z   test_schema_correctness_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5938148Z   test_schema_correctness_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5938530Z   test_schema_correctness_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5939061Z   test_schema_correctness_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5939450Z   test_schema_correctness_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5939839Z   test_schema_correctness_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5940251Z   test_schema_correctness_select_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5940665Z   test_schema_correctness_select_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5941073Z   test_schema_correctness_select_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5941479Z   test_schema_correctness_select_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5941891Z   test_schema_correctness_select_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5942313Z   test_schema_correctness_select_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5942723Z   test_schema_correctness_select_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5943128Z   test_schema_correctness_select_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5943517Z   test_schema_correctness_select_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5943923Z   test_schema_correctness_select_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.5944332Z   test_schema_correctness_sgn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5944737Z   test_schema_correctness_sgn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5945284Z   test_schema_correctness_sgn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5945679Z   test_schema_correctness_sgn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5946069Z   test_schema_correctness_sgn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5946490Z   test_schema_correctness_sgn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5946871Z   test_schema_correctness_sgn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5947249Z   test_schema_correctness_sgn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5947630Z   test_schema_correctness_sgn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5948012Z   test_schema_correctness_sgn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5948387Z   test_schema_correctness_sgn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5948765Z   test_schema_correctness_sgn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5949140Z   test_schema_correctness_sgn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5949534Z   test_schema_correctness_short_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5949914Z   test_schema_correctness_short_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5950399Z   test_schema_correctness_short_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5950804Z   test_schema_correctness_short_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5951210Z   test_schema_correctness_short_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5951596Z   test_schema_correctness_short_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5952014Z   test_schema_correctness_short_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T01:40:48.5952434Z   test_schema_correctness_short_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.5952842Z   test_schema_correctness_short_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5953226Z   test_schema_correctness_short_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5953597Z   test_schema_correctness_short_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5953974Z   test_schema_correctness_short_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.5954368Z   test_schema_correctness_sigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5954756Z   test_schema_correctness_sigmoid_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5955156Z   test_schema_correctness_sigmoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5955555Z   test_schema_correctness_sigmoid_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5955957Z   test_schema_correctness_sigmoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5956347Z   test_schema_correctness_sigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5956739Z   test_schema_correctness_sigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5957135Z   test_schema_correctness_sigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5957530Z   test_schema_correctness_sigmoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5957945Z   test_schema_correctness_sigmoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5958370Z   test_schema_correctness_sigmoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5958805Z   test_schema_correctness_sigmoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5959209Z   test_schema_correctness_sigmoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5959599Z   test_schema_correctness_sign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5959985Z   test_schema_correctness_sign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5960393Z   test_schema_correctness_sign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5960786Z   test_schema_correctness_sign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5961207Z   test_schema_correctness_sign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5961644Z   test_schema_correctness_sign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5962044Z   test_schema_correctness_sign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5962435Z   test_schema_correctness_sign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5962827Z   test_schema_correctness_sign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5963263Z   test_schema_correctness_sign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5963677Z   test_schema_correctness_signal_windows_cosine_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5964112Z   test_schema_correctness_signal_windows_cosine_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5964529Z   test_schema_correctness_signal_windows_cosine_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.5964954Z   test_schema_correctness_signal_windows_cosine_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.5965391Z   test_schema_correctness_signal_windows_exponential_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5965832Z   test_schema_correctness_signal_windows_exponential_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T01:40:48.5966258Z   test_schema_correctness_signal_windows_exponential_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T01:40:48.5966689Z   test_schema_correctness_signal_windows_exponential_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5967116Z   test_schema_correctness_signal_windows_gaussian_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.5967550Z   test_schema_correctness_signal_windows_gaussian_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T01:40:48.5967967Z   test_schema_correctness_signal_windows_gaussian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5968396Z   test_schema_correctness_signal_windows_gaussian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T01:40:48.5968825Z   test_schema_correctness_signal_windows_kaiser_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T01:40:48.5969239Z   test_schema_correctness_signal_windows_kaiser_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5969662Z   test_schema_correctness_signal_windows_kaiser_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T01:40:48.5970106Z   test_schema_correctness_signal_windows_kaiser_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T01:40:48.5970516Z   test_schema_correctness_signbit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5970908Z   test_schema_correctness_signbit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5971330Z   test_schema_correctness_signbit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5971722Z   test_schema_correctness_signbit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5972118Z   test_schema_correctness_signbit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5972501Z   test_schema_correctness_signbit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5972886Z   test_schema_correctness_signbit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5973266Z   test_schema_correctness_signbit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5973649Z   test_schema_correctness_signbit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5974036Z   test_schema_correctness_signbit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5974429Z   test_schema_correctness_sin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5974815Z   test_schema_correctness_sin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5975201Z   test_schema_correctness_sin_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5975595Z   test_schema_correctness_sin_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5975990Z   test_schema_correctness_sin_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5976373Z   test_schema_correctness_sin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5976748Z   test_schema_correctness_sin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5977138Z   test_schema_correctness_sin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5977519Z   test_schema_correctness_sin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5977899Z   test_schema_correctness_sin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5978271Z   test_schema_correctness_sin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5978652Z   test_schema_correctness_sin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5979170Z   test_schema_correctness_sin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5979545Z   test_schema_correctness_sinc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5979926Z   test_schema_correctness_sinc_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5980325Z   test_schema_correctness_sinc_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5980719Z   test_schema_correctness_sinc_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5981101Z   test_schema_correctness_sinc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5981486Z   test_schema_correctness_sinc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5981868Z   test_schema_correctness_sinc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5982322Z   test_schema_correctness_sinc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5982693Z   test_schema_correctness_sinc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5983069Z   test_schema_correctness_sinc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5983498Z   test_schema_correctness_sinc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5983872Z   test_schema_correctness_sinc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.5984258Z   test_schema_correctness_sinh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5984640Z   test_schema_correctness_sinh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5985027Z   test_schema_correctness_sinh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5985417Z   test_schema_correctness_sinh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5985809Z   test_schema_correctness_sinh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5986202Z   test_schema_correctness_sinh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5986593Z   test_schema_correctness_sinh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5986968Z   test_schema_correctness_sinh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5987351Z   test_schema_correctness_sinh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5987729Z   test_schema_correctness_sinh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5988098Z   test_schema_correctness_sinh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5988475Z   test_schema_correctness_sinh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5988857Z   test_schema_correctness_sinh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5989240Z   test_schema_correctness_slice_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5989624Z   test_schema_correctness_slice_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5990015Z   test_schema_correctness_slice_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5990528Z   test_schema_correctness_slice_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.5990926Z   test_schema_correctness_slice_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5991310Z   test_schema_correctness_slice_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5991695Z   test_schema_correctness_slice_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5992074Z   test_schema_correctness_slice_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5992449Z   test_schema_correctness_slice_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5992836Z   test_schema_correctness_slice_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5993221Z   test_schema_correctness_slice_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5993604Z   test_schema_correctness_slice_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5993978Z   test_schema_correctness_slice_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.5994382Z   test_schema_correctness_slice_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5994830Z   test_schema_correctness_slice_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5995236Z   test_schema_correctness_slice_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5995634Z   test_schema_correctness_slice_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5996062Z   test_schema_correctness_slice_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5996465Z   test_schema_correctness_slice_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5996865Z   test_schema_correctness_slice_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5997246Z   test_schema_correctness_slice_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5997648Z   test_schema_correctness_slice_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5998045Z   test_schema_correctness_slice_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.5998433Z   test_schema_correctness_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5998834Z   test_schema_correctness_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5999227Z   test_schema_correctness_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.5999618Z   test_schema_correctness_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6000017Z   test_schema_correctness_softmax_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6000475Z   test_schema_correctness_softmax_with_dtype_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6000933Z   test_schema_correctness_softmax_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6001391Z   test_schema_correctness_softmax_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6001834Z   test_schema_correctness_softmax_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.6002389Z   test_schema_correctness_softmax_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6002838Z   test_schema_correctness_softmax_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6012788Z   test_schema_correctness_softmax_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T01:40:48.6013249Z   test_schema_correctness_softmax_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T01:40:48.6013670Z   test_schema_correctness_softmax_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.6014076Z   test_schema_correctness_softmax_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.6014482Z   test_schema_correctness_softmax_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T01:40:48.6014884Z   test_schema_correctness_sort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6015264Z   test_schema_correctness_sort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6015648Z   test_schema_correctness_sort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6016035Z   test_schema_correctness_sort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6016492Z   test_schema_correctness_sort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6016868Z   test_schema_correctness_sort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6017244Z   test_schema_correctness_sort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6017648Z   test_schema_correctness_sort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6018030Z   test_schema_correctness_sort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6019416Z   test_schema_correctness_sparse_sampled_addmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py:952: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:40:48.6020084Z   .to_sparse_csr()
2022-11-23T01:40:48.6020270Z ok (0.010s)
2022-11-23T01:40:48.6020581Z   test_schema_correctness_sparse_sampled_addmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6021004Z   test_schema_correctness_sparse_sampled_addmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6021418Z   test_schema_correctness_sparse_sampled_addmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6021881Z   test_schema_correctness_special_airy_ai_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6022287Z   test_schema_correctness_special_airy_ai_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6022687Z   test_schema_correctness_special_airy_ai_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6023087Z   test_schema_correctness_special_airy_ai_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6023488Z   test_schema_correctness_special_airy_ai_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6023891Z   test_schema_correctness_special_airy_ai_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6024282Z   test_schema_correctness_special_airy_ai_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6024682Z   test_schema_correctness_special_airy_ai_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6025084Z   test_schema_correctness_special_bessel_j0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6025482Z   test_schema_correctness_special_bessel_j0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6025894Z   test_schema_correctness_special_bessel_j0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6026300Z   test_schema_correctness_special_bessel_j0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6026701Z   test_schema_correctness_special_bessel_j0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6027102Z   test_schema_correctness_special_bessel_j0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6027498Z   test_schema_correctness_special_bessel_j0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6027894Z   test_schema_correctness_special_bessel_j0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6028297Z   test_schema_correctness_special_bessel_j1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6028845Z   test_schema_correctness_special_bessel_j1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6029258Z   test_schema_correctness_special_bessel_j1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6029662Z   test_schema_correctness_special_bessel_j1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6030221Z   test_schema_correctness_special_bessel_j1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6030660Z   test_schema_correctness_special_bessel_j1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6031122Z   test_schema_correctness_special_bessel_j1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6031517Z   test_schema_correctness_special_bessel_j1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6031919Z   test_schema_correctness_special_bessel_y0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6032317Z   test_schema_correctness_special_bessel_y0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6032726Z   test_schema_correctness_special_bessel_y0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6033132Z   test_schema_correctness_special_bessel_y0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6033522Z   test_schema_correctness_special_bessel_y0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6033921Z   test_schema_correctness_special_bessel_y0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6034314Z   test_schema_correctness_special_bessel_y0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6034708Z   test_schema_correctness_special_bessel_y0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6035101Z   test_schema_correctness_special_bessel_y1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6035502Z   test_schema_correctness_special_bessel_y1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6035905Z   test_schema_correctness_special_bessel_y1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6036307Z   test_schema_correctness_special_bessel_y1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6036696Z   test_schema_correctness_special_bessel_y1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6037086Z   test_schema_correctness_special_bessel_y1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6037485Z   test_schema_correctness_special_bessel_y1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6037882Z   test_schema_correctness_special_bessel_y1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6038290Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6038728Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6039170Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6039606Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6040034Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6040462Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6040928Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6041362Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6041802Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6042237Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6042671Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6043103Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6043524Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6043947Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6044371Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6044807Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6045467Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6046139Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6046806Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6047459Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6048115Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6048763Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6049416Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6050070Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6050718Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6051371Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6052028Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6052678Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6053354Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6053992Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6054652Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6055300Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6055764Z   test_schema_correctness_special_entr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6056173Z   test_schema_correctness_special_entr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6056568Z   test_schema_correctness_special_entr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6056971Z   test_schema_correctness_special_entr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6057369Z   test_schema_correctness_special_entr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6057763Z   test_schema_correctness_special_entr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6058154Z   test_schema_correctness_special_entr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6058554Z   test_schema_correctness_special_entr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6059127Z   test_schema_correctness_special_entr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6059529Z   test_schema_correctness_special_entr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6059918Z   test_schema_correctness_special_erfcx_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6060324Z   test_schema_correctness_special_erfcx_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6060731Z   test_schema_correctness_special_erfcx_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6061128Z   test_schema_correctness_special_erfcx_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6061553Z   test_schema_correctness_special_erfcx_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6061980Z   test_schema_correctness_special_erfcx_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6062376Z   test_schema_correctness_special_erfcx_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6062765Z   test_schema_correctness_special_erfcx_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6063188Z   test_schema_correctness_special_hermite_polynomial_h_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6063628Z   test_schema_correctness_special_hermite_polynomial_h_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6064065Z   test_schema_correctness_special_hermite_polynomial_h_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6064487Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6064917Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6065429Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6065856Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6066311Z   test_schema_correctness_special_hermite_polynomial_h_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6066731Z   test_schema_correctness_special_hermite_polynomial_he_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6067158Z   test_schema_correctness_special_hermite_polynomial_he_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6067596Z   test_schema_correctness_special_hermite_polynomial_he_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6068023Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6068460Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6068886Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6069310Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6069727Z   test_schema_correctness_special_hermite_polynomial_he_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6070230Z   test_schema_correctness_special_i0e_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6070673Z   test_schema_correctness_special_i0e_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6071073Z   test_schema_correctness_special_i0e_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6071464Z   test_schema_correctness_special_i0e_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6071859Z   test_schema_correctness_special_i0e_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6072257Z   test_schema_correctness_special_i0e_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6072637Z   test_schema_correctness_special_i0e_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6073029Z   test_schema_correctness_special_i0e_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6073415Z   test_schema_correctness_special_i0e_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6073811Z   test_schema_correctness_special_i0e_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6074193Z   test_schema_correctness_special_i1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6074590Z   test_schema_correctness_special_i1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6074985Z   test_schema_correctness_special_i1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6075376Z   test_schema_correctness_special_i1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6075761Z   test_schema_correctness_special_i1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6076151Z   test_schema_correctness_special_i1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6076541Z   test_schema_correctness_special_i1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6076939Z   test_schema_correctness_special_i1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6077361Z   test_schema_correctness_special_i1e_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6077763Z   test_schema_correctness_special_i1e_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6078188Z   test_schema_correctness_special_i1e_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6078575Z   test_schema_correctness_special_i1e_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6078964Z   test_schema_correctness_special_i1e_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6079357Z   test_schema_correctness_special_i1e_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6079749Z   test_schema_correctness_special_i1e_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6080136Z   test_schema_correctness_special_i1e_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6080550Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6080991Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6081435Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6081862Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6082299Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6082720Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6083148Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6083570Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6084253Z   test_schema_correctness_special_legendre_polynomial_p_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6084934Z   test_schema_correctness_special_legendre_polynomial_p_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6085614Z   test_schema_correctness_special_legendre_polynomial_p_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6086273Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6086934Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6087583Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6088248Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6088907Z   test_schema_correctness_special_legendre_polynomial_p_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6089406Z   test_schema_correctness_special_log_ndtr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6089823Z   test_schema_correctness_special_log_ndtr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6090235Z   test_schema_correctness_special_log_ndtr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6090677Z   test_schema_correctness_special_log_ndtr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6091074Z   test_schema_correctness_special_log_ndtr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6091472Z   test_schema_correctness_special_log_ndtr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6091875Z   test_schema_correctness_special_log_ndtr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6092279Z   test_schema_correctness_special_log_ndtr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6092680Z   test_schema_correctness_special_modified_bessel_i0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6093108Z   test_schema_correctness_special_modified_bessel_i0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6093540Z   test_schema_correctness_special_modified_bessel_i0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6093959Z   test_schema_correctness_special_modified_bessel_i0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6094370Z   test_schema_correctness_special_modified_bessel_i0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6094789Z   test_schema_correctness_special_modified_bessel_i0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6095216Z   test_schema_correctness_special_modified_bessel_i0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6095634Z   test_schema_correctness_special_modified_bessel_i0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6096053Z   test_schema_correctness_special_modified_bessel_i1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6096481Z   test_schema_correctness_special_modified_bessel_i1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6096904Z   test_schema_correctness_special_modified_bessel_i1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6097308Z   test_schema_correctness_special_modified_bessel_i1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6097723Z   test_schema_correctness_special_modified_bessel_i1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6098143Z   test_schema_correctness_special_modified_bessel_i1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6098558Z   test_schema_correctness_special_modified_bessel_i1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6099151Z   test_schema_correctness_special_modified_bessel_i1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6099572Z   test_schema_correctness_special_modified_bessel_k0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6099992Z   test_schema_correctness_special_modified_bessel_k0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6100409Z   test_schema_correctness_special_modified_bessel_k0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6100817Z   test_schema_correctness_special_modified_bessel_k0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6101306Z   test_schema_correctness_special_modified_bessel_k0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6101724Z   test_schema_correctness_special_modified_bessel_k0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6102173Z   test_schema_correctness_special_modified_bessel_k0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6102582Z   test_schema_correctness_special_modified_bessel_k0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6102995Z   test_schema_correctness_special_modified_bessel_k1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6103411Z   test_schema_correctness_special_modified_bessel_k1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6103827Z   test_schema_correctness_special_modified_bessel_k1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6104233Z   test_schema_correctness_special_modified_bessel_k1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6104646Z   test_schema_correctness_special_modified_bessel_k1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6105061Z   test_schema_correctness_special_modified_bessel_k1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6105474Z   test_schema_correctness_special_modified_bessel_k1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6105884Z   test_schema_correctness_special_modified_bessel_k1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6106293Z   test_schema_correctness_special_ndtr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6106697Z   test_schema_correctness_special_ndtr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6107102Z   test_schema_correctness_special_ndtr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6107500Z   test_schema_correctness_special_ndtr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6107902Z   test_schema_correctness_special_ndtr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6108300Z   test_schema_correctness_special_ndtr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6108688Z   test_schema_correctness_special_ndtr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6109076Z   test_schema_correctness_special_ndtr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6109473Z   test_schema_correctness_special_ndtr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6109875Z   test_schema_correctness_special_ndtr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6110357Z   test_schema_correctness_special_ndtri_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6110768Z   test_schema_correctness_special_ndtri_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6111176Z   test_schema_correctness_special_ndtri_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6111578Z   test_schema_correctness_special_ndtri_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6111969Z   test_schema_correctness_special_ndtri_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6112368Z   test_schema_correctness_special_ndtri_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6112761Z   test_schema_correctness_special_ndtri_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6113192Z   test_schema_correctness_special_ndtri_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6113609Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6114112Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6114568Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6115024Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6115472Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6115927Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6116369Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6116817Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6117258Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6117702Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6118142Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6118585Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6119012Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6119449Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6119888Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6120321Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6120744Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6121177Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6121611Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6122049Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6122472Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6122904Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6123330Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6123756Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6124209Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6124860Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6125553Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6126269Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6126956Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6127616Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6128291Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6128965Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6129633Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6130311Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6130981Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6131650Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6132324Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6132983Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6133643Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6134305Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6134965Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6135625Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6136305Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6137005Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6137672Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6138355Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6139229Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6139896Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6140559Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6141221Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6141875Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6142269Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6142655Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6143033Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6143421Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6143805Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6144189Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:40:48.6144404Z   test_schema_correctness_special_spherical_bessel_j0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6144615Z   test_schema_correctness_special_spherical_bessel_j0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6144827Z   test_schema_correctness_special_spherical_bessel_j0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6145035Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6145233Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6145429Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6145698Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6145908Z   test_schema_correctness_special_spherical_bessel_j0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6146108Z   test_schema_correctness_special_xlog1py_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6146339Z   test_schema_correctness_special_xlog1py_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6146537Z   test_schema_correctness_special_xlog1py_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6146731Z   test_schema_correctness_special_xlog1py_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6146922Z   test_schema_correctness_special_xlog1py_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6147121Z   test_schema_correctness_special_xlog1py_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6147315Z   test_schema_correctness_special_xlog1py_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6147496Z   test_schema_correctness_special_xlog1py_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6147692Z   test_schema_correctness_special_xlog1py_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6147887Z   test_schema_correctness_special_xlog1py_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6148079Z   test_schema_correctness_special_zeta_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6148269Z   test_schema_correctness_special_zeta_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6148462Z   test_schema_correctness_special_zeta_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6148656Z   test_schema_correctness_special_zeta_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6148846Z   test_schema_correctness_special_zeta_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6149036Z   test_schema_correctness_special_zeta_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6149218Z   test_schema_correctness_special_zeta_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6149409Z   test_schema_correctness_special_zeta_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6149596Z   test_schema_correctness_split_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6149779Z   test_schema_correctness_split_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6149973Z   test_schema_correctness_split_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6150231Z   test_schema_correctness_split_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6150440Z   test_schema_correctness_split_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6150628Z   test_schema_correctness_split_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6150815Z   test_schema_correctness_split_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6150988Z   test_schema_correctness_split_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6151172Z   test_schema_correctness_split_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6151357Z   test_schema_correctness_split_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6151605Z   test_schema_correctness_split_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6151799Z   test_schema_correctness_split_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6151982Z   test_schema_correctness_split_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6152204Z   test_schema_correctness_split_list_args_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6152398Z   test_schema_correctness_split_list_args_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6152600Z   test_schema_correctness_split_list_args_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6152791Z   test_schema_correctness_split_list_args_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6152985Z   test_schema_correctness_split_list_args_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6153183Z   test_schema_correctness_split_list_args_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6153377Z   test_schema_correctness_split_list_args_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6153572Z   test_schema_correctness_split_list_args_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6153763Z   test_schema_correctness_split_list_args_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6153948Z   test_schema_correctness_split_list_args_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6154137Z   test_schema_correctness_split_list_args_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6154321Z   test_schema_correctness_split_list_args_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6154519Z   test_schema_correctness_split_with_sizes_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6154698Z   test_schema_correctness_split_with_sizes_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6154898Z   test_schema_correctness_split_with_sizes_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6155098Z   test_schema_correctness_split_with_sizes_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6155294Z   test_schema_correctness_split_with_sizes_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6155488Z   test_schema_correctness_split_with_sizes_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6155684Z   test_schema_correctness_split_with_sizes_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6155884Z   test_schema_correctness_split_with_sizes_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6156079Z   test_schema_correctness_split_with_sizes_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6156269Z   test_schema_correctness_split_with_sizes_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6156457Z   test_schema_correctness_split_with_sizes_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6156648Z   test_schema_correctness_split_with_sizes_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6156837Z   test_schema_correctness_split_with_sizes_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6157023Z   test_schema_correctness_sqrt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6157205Z   test_schema_correctness_sqrt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6157426Z   test_schema_correctness_sqrt_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6157617Z   test_schema_correctness_sqrt_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6157823Z   test_schema_correctness_sqrt_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6158010Z   test_schema_correctness_sqrt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6158181Z   test_schema_correctness_sqrt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6158357Z   test_schema_correctness_sqrt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6158539Z   test_schema_correctness_sqrt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6158721Z   test_schema_correctness_sqrt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6158897Z   test_schema_correctness_sqrt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6159074Z   test_schema_correctness_sqrt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6159258Z   test_schema_correctness_sqrt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6159445Z   test_schema_correctness_square_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6159629Z   test_schema_correctness_square_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6159813Z   test_schema_correctness_square_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160003Z   test_schema_correctness_square_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160195Z   test_schema_correctness_square_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160382Z   test_schema_correctness_square_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160563Z   test_schema_correctness_square_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160749Z   test_schema_correctness_square_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6160928Z   test_schema_correctness_square_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6161104Z   test_schema_correctness_square_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6161290Z   test_schema_correctness_square_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6161463Z   test_schema_correctness_square_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6161657Z   test_schema_correctness_squeeze_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6161841Z   test_schema_correctness_squeeze_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6162033Z   test_schema_correctness_squeeze_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6162227Z   test_schema_correctness_squeeze_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6162411Z   test_schema_correctness_squeeze_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6162597Z   test_schema_correctness_squeeze_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6162785Z   test_schema_correctness_squeeze_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6162971Z   test_schema_correctness_squeeze_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6163179Z   test_schema_correctness_squeeze_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6163369Z   test_schema_correctness_squeeze_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6163548Z   test_schema_correctness_squeeze_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6163749Z   test_schema_correctness_squeeze_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6163926Z   test_schema_correctness_squeeze_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6164112Z   test_schema_correctness_stack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6164296Z   test_schema_correctness_stack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6164489Z   test_schema_correctness_stack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6164677Z   test_schema_correctness_stack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6164856Z   test_schema_correctness_stack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6165050Z   test_schema_correctness_stack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6165235Z   test_schema_correctness_stack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6165414Z   test_schema_correctness_stack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6165595Z   test_schema_correctness_stack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6165773Z   test_schema_correctness_stack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6165953Z   test_schema_correctness_stack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6166138Z   test_schema_correctness_stack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6166321Z   test_schema_correctness_stack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6166496Z   test_schema_correctness_std_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6166684Z   test_schema_correctness_std_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6166869Z   test_schema_correctness_std_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6167049Z   test_schema_correctness_std_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6167223Z   test_schema_correctness_std_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6167401Z   test_schema_correctness_std_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6167592Z   test_schema_correctness_std_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6167789Z   test_schema_correctness_std_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6167984Z   test_schema_correctness_std_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6168165Z   test_schema_correctness_std_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6168353Z   test_schema_correctness_std_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6168543Z   test_schema_correctness_std_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6169251Z   test_schema_correctness_stft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2022-11-23T01:40:48.6169529Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2022-11-23T01:40:48.6169801Z   return _VF.stft(input, n_fft, hop_length, win_length, window,  # type: ignore[attr-defined]
2022-11-23T01:40:48.6169876Z ok (0.034s)
2022-11-23T01:40:48.6170067Z   test_schema_correctness_stft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T01:40:48.6170253Z   test_schema_correctness_stft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6170439Z   test_schema_correctness_stft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T01:40:48.6170614Z   test_schema_correctness_sub_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6170800Z   test_schema_correctness_sub_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6170988Z   test_schema_correctness_sub_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6171176Z   test_schema_correctness_sub_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6171359Z   test_schema_correctness_sub_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6171537Z   test_schema_correctness_sub_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6171713Z   test_schema_correctness_sub_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6171892Z   test_schema_correctness_sub_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6172073Z   test_schema_correctness_sub_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6172244Z   test_schema_correctness_sub_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6172424Z   test_schema_correctness_sub_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6172600Z   test_schema_correctness_sub_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6172785Z   test_schema_correctness_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.6172964Z   test_schema_correctness_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6173148Z   test_schema_correctness_sum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6173329Z   test_schema_correctness_sum_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6173508Z   test_schema_correctness_sum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6173693Z   test_schema_correctness_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6173861Z   test_schema_correctness_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6174047Z   test_schema_correctness_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6174226Z   test_schema_correctness_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6174403Z   test_schema_correctness_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6174587Z   test_schema_correctness_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6174768Z   test_schema_correctness_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T01:40:48.6174965Z   test_schema_correctness_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T01:40:48.6175163Z   test_schema_correctness_sum_to_size_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6175352Z   test_schema_correctness_sum_to_size_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6175562Z   test_schema_correctness_sum_to_size_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6175758Z   test_schema_correctness_sum_to_size_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6175950Z   test_schema_correctness_sum_to_size_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6176140Z   test_schema_correctness_sum_to_size_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6176329Z   test_schema_correctness_sum_to_size_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6176514Z   test_schema_correctness_sum_to_size_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6176694Z   test_schema_correctness_sum_to_size_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6176884Z   test_schema_correctness_sum_to_size_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6177071Z   test_schema_correctness_sum_to_size_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6177251Z   test_schema_correctness_sum_to_size_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T01:40:48.6177454Z   test_schema_correctness_svd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.6177656Z   test_schema_correctness_svd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.6177844Z   test_schema_correctness_svd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.262s)
2022-11-23T01:40:48.6178024Z   test_schema_correctness_svd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.305s)
2022-11-23T01:40:48.6178214Z   test_schema_correctness_svd_lowrank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.954s)
2022-11-23T01:40:48.6178405Z   test_schema_correctness_svd_lowrank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.699s)
2022-11-23T01:40:48.6179163Z   test_schema_correctness_symeig_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:40:48.6179390Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:40:48.6179496Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:40:48.6179575Z should be replaced with
2022-11-23T01:40:48.6179766Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:40:48.6179839Z and
2022-11-23T01:40:48.6179949Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:40:48.6180038Z should be replaced with
2022-11-23T01:40:48.6180396Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:40:48.6180493Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.6180558Z ok (0.021s)
2022-11-23T01:40:48.6180753Z   test_schema_correctness_symeig_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6180965Z   test_schema_correctness_symeig_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6181178Z   test_schema_correctness_symeig_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6181413Z   test_schema_correctness_t_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6181596Z   test_schema_correctness_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6181784Z   test_schema_correctness_t_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6181993Z   test_schema_correctness_t_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6182171Z   test_schema_correctness_t_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6182344Z   test_schema_correctness_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6182524Z   test_schema_correctness_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6182702Z   test_schema_correctness_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6182884Z   test_schema_correctness_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6183058Z   test_schema_correctness_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6183237Z   test_schema_correctness_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6183416Z   test_schema_correctness_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6183615Z   test_schema_correctness_take_along_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6183810Z   test_schema_correctness_take_along_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6184001Z   test_schema_correctness_take_along_dim_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6184203Z   test_schema_correctness_take_along_dim_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6184404Z   test_schema_correctness_take_along_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6184597Z   test_schema_correctness_take_along_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6184794Z   test_schema_correctness_take_along_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6184992Z   test_schema_correctness_take_along_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6185185Z   test_schema_correctness_take_along_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6185379Z   test_schema_correctness_take_along_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6185569Z   test_schema_correctness_take_along_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6185750Z   test_schema_correctness_take_along_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6185939Z   test_schema_correctness_take_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6186117Z   test_schema_correctness_take_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6186309Z   test_schema_correctness_take_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6186496Z   test_schema_correctness_take_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6186683Z   test_schema_correctness_take_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6186864Z   test_schema_correctness_take_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187050Z   test_schema_correctness_take_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187262Z   test_schema_correctness_take_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187432Z   test_schema_correctness_take_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187606Z   test_schema_correctness_take_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187803Z   test_schema_correctness_take_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6187988Z   test_schema_correctness_take_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6188171Z   test_schema_correctness_tan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6188351Z   test_schema_correctness_tan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6188538Z   test_schema_correctness_tan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6188726Z   test_schema_correctness_tan_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6188911Z   test_schema_correctness_tan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189089Z   test_schema_correctness_tan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189269Z   test_schema_correctness_tan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189446Z   test_schema_correctness_tan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189624Z   test_schema_correctness_tan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189803Z   test_schema_correctness_tan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6189980Z   test_schema_correctness_tan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6190241Z   test_schema_correctness_tan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6190439Z   test_schema_correctness_tan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6190651Z   test_schema_correctness_tanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6190845Z   test_schema_correctness_tanh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191038Z   test_schema_correctness_tanh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191225Z   test_schema_correctness_tanh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191413Z   test_schema_correctness_tanh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191600Z   test_schema_correctness_tanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191784Z   test_schema_correctness_tanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6191963Z   test_schema_correctness_tanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6192145Z   test_schema_correctness_tanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6192322Z   test_schema_correctness_tanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6192487Z   test_schema_correctness_tanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6192667Z   test_schema_correctness_tanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6192848Z   test_schema_correctness_tanh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6193077Z   test_schema_correctness_tensor_split_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6193271Z   test_schema_correctness_tensor_split_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.6193469Z   test_schema_correctness_tensor_split_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6193690Z   test_schema_correctness_tensor_split_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T01:40:48.6193881Z   test_schema_correctness_tensor_split_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6194076Z   test_schema_correctness_tensor_split_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.6194256Z   test_schema_correctness_tensor_split_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T01:40:48.6194451Z   test_schema_correctness_tensor_split_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6194645Z   test_schema_correctness_tensor_split_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6194833Z   test_schema_correctness_tensor_split_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6195020Z   test_schema_correctness_tensor_split_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6195213Z   test_schema_correctness_tensor_split_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T01:40:48.6195399Z   test_schema_correctness_tensordot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.6195594Z   test_schema_correctness_tensordot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T01:40:48.6195788Z   test_schema_correctness_tensordot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.6195982Z   test_schema_correctness_tensordot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.6196162Z   test_schema_correctness_tensordot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.6196345Z   test_schema_correctness_tensordot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T01:40:48.6196533Z   test_schema_correctness_tile_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6196714Z   test_schema_correctness_tile_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.6196904Z   test_schema_correctness_tile_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.6197092Z   test_schema_correctness_tile_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T01:40:48.6197275Z   test_schema_correctness_tile_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6197455Z   test_schema_correctness_tile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6197631Z   test_schema_correctness_tile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6197803Z   test_schema_correctness_tile_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6197981Z   test_schema_correctness_tile_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6198159Z   test_schema_correctness_tile_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T01:40:48.6198340Z   test_schema_correctness_tile_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6198523Z   test_schema_correctness_tile_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T01:40:48.6198705Z   test_schema_correctness_to_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.446s)
2022-11-23T01:40:48.6198918Z   test_schema_correctness_to_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.441s)
2022-11-23T01:40:48.6199106Z   test_schema_correctness_to_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.443s)
2022-11-23T01:40:48.6199287Z   test_schema_correctness_to_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.448s)
2022-11-23T01:40:48.6199496Z   test_schema_correctness_to_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.442s)
2022-11-23T01:40:48.6199670Z   test_schema_correctness_to_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.446s)
2022-11-23T01:40:48.6199845Z   test_schema_correctness_to_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.332s)
2022-11-23T01:40:48.6200023Z   test_schema_correctness_to_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.442s)
2022-11-23T01:40:48.6200201Z   test_schema_correctness_to_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.447s)
2022-11-23T01:40:48.6200384Z   test_schema_correctness_to_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.443s)
2022-11-23T01:40:48.6200563Z   test_schema_correctness_to_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.446s)
2022-11-23T01:40:48.6200741Z   test_schema_correctness_to_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.446s)
2022-11-23T01:40:48.6200939Z   test_schema_correctness_to_sparse_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6201119Z   test_schema_correctness_to_sparse_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6201314Z   test_schema_correctness_to_sparse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6201507Z   test_schema_correctness_to_sparse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6201695Z   test_schema_correctness_to_sparse_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6201883Z   test_schema_correctness_to_sparse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6202071Z   test_schema_correctness_to_sparse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6202257Z   test_schema_correctness_to_sparse_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6202446Z   test_schema_correctness_to_sparse_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6202634Z   test_schema_correctness_to_sparse_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6202811Z   test_schema_correctness_to_sparse_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6202997Z   test_schema_correctness_to_sparse_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6203185Z   test_schema_correctness_topk_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6203372Z   test_schema_correctness_topk_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6203556Z   test_schema_correctness_topk_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6203743Z   test_schema_correctness_topk_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6203924Z   test_schema_correctness_topk_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6204101Z   test_schema_correctness_topk_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6204275Z   test_schema_correctness_topk_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6204446Z   test_schema_correctness_topk_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6204653Z   test_schema_correctness_topk_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T01:40:48.6204840Z   test_schema_correctness_trace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205021Z   test_schema_correctness_trace_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205237Z   test_schema_correctness_trace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205424Z   test_schema_correctness_trace_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205613Z   test_schema_correctness_trace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205798Z   test_schema_correctness_trace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6205977Z   test_schema_correctness_trace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6206149Z   test_schema_correctness_trace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6206333Z   test_schema_correctness_trace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6206517Z   test_schema_correctness_trace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6206697Z   test_schema_correctness_trace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6206878Z   test_schema_correctness_trace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6207057Z   test_schema_correctness_trace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6207249Z   test_schema_correctness_transpose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6207437Z   test_schema_correctness_transpose_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6207637Z   test_schema_correctness_transpose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6207823Z   test_schema_correctness_transpose_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6208017Z   test_schema_correctness_transpose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6208208Z   test_schema_correctness_transpose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6208394Z   test_schema_correctness_transpose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6208583Z   test_schema_correctness_transpose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6208772Z   test_schema_correctness_transpose_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6208960Z   test_schema_correctness_transpose_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6209149Z   test_schema_correctness_transpose_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6209340Z   test_schema_correctness_transpose_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6209521Z   test_schema_correctness_transpose_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6209713Z   test_schema_correctness_trapezoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.6209907Z   test_schema_correctness_trapezoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.6210100Z   test_schema_correctness_trapezoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T01:40:48.6210290Z   test_schema_correctness_trapezoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6210506Z   test_schema_correctness_trapezoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6210699Z   test_schema_correctness_trapezoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6210884Z   test_schema_correctness_trapezoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6211104Z   test_schema_correctness_trapezoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6211276Z   test_schema_correctness_trapezoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6211463Z   test_schema_correctness_trapezoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.6211648Z   test_schema_correctness_trapezoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6211834Z   test_schema_correctness_trapz_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6212029Z   test_schema_correctness_trapz_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T01:40:48.6212213Z   test_schema_correctness_trapz_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T01:40:48.6212400Z   test_schema_correctness_trapz_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6212583Z   test_schema_correctness_trapz_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T01:40:48.6212764Z   test_schema_correctness_trapz_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6212937Z   test_schema_correctness_trapz_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6213121Z   test_schema_correctness_trapz_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6213298Z   test_schema_correctness_trapz_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6213482Z   test_schema_correctness_trapz_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T01:40:48.6213660Z   test_schema_correctness_trapz_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T01:40:48.6214292Z   test_schema_correctness_triangular_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T01:40:48.6214485Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T01:40:48.6214595Z X = torch.triangular_solve(B, A).solution
2022-11-23T01:40:48.6214682Z should be replaced with
2022-11-23T01:40:48.6214920Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T01:40:48.6215011Z   return self.op(*args, **kwargs)
2022-11-23T01:40:48.6215085Z ok (0.024s)
2022-11-23T01:40:48.6215289Z   test_schema_correctness_triangular_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.6215493Z   test_schema_correctness_triangular_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.6215696Z   test_schema_correctness_triangular_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.6215877Z   test_schema_correctness_tril_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6216067Z   test_schema_correctness_tril_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6216254Z   test_schema_correctness_tril_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6216459Z   test_schema_correctness_tril_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6216648Z   test_schema_correctness_tril_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6216828Z   test_schema_correctness_tril_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6217031Z   test_schema_correctness_tril_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6217214Z   test_schema_correctness_tril_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6217389Z   test_schema_correctness_tril_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6217563Z   test_schema_correctness_tril_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6217740Z   test_schema_correctness_tril_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6217925Z   test_schema_correctness_tril_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6218109Z   test_schema_correctness_tril_indices_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6218299Z   test_schema_correctness_tril_indices_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6218483Z   test_schema_correctness_triu_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6218672Z   test_schema_correctness_triu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6219167Z   test_schema_correctness_triu_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6219357Z   test_schema_correctness_triu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6219543Z   test_schema_correctness_triu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6219728Z   test_schema_correctness_triu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6219905Z   test_schema_correctness_triu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6220075Z   test_schema_correctness_triu_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6220257Z   test_schema_correctness_triu_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6220434Z   test_schema_correctness_triu_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6220610Z   test_schema_correctness_triu_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6220792Z   test_schema_correctness_triu_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6220983Z   test_schema_correctness_triu_indices_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6221176Z   test_schema_correctness_triu_indices_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T01:40:48.6221369Z   test_schema_correctness_true_divide_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6221558Z   test_schema_correctness_true_divide_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6221750Z   test_schema_correctness_true_divide_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.6221945Z   test_schema_correctness_true_divide_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6222140Z   test_schema_correctness_true_divide_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T01:40:48.6222332Z   test_schema_correctness_true_divide_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6222588Z   test_schema_correctness_true_divide_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6222779Z   test_schema_correctness_true_divide_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6222968Z   test_schema_correctness_true_divide_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6223178Z   test_schema_correctness_true_divide_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6223366Z   test_schema_correctness_true_divide_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6223548Z   test_schema_correctness_true_divide_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T01:40:48.6223736Z   test_schema_correctness_true_divide_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T01:40:48.6223925Z   test_schema_correctness_trunc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6224112Z   test_schema_correctness_trunc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6224291Z   test_schema_correctness_trunc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6224470Z   test_schema_correctness_trunc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6224655Z   test_schema_correctness_trunc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6224833Z   test_schema_correctness_trunc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6225014Z   test_schema_correctness_trunc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6225186Z   test_schema_correctness_trunc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6225364Z   test_schema_correctness_trunc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6225555Z   test_schema_correctness_unbind_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6225734Z   test_schema_correctness_unbind_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6225927Z   test_schema_correctness_unbind_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6226118Z   test_schema_correctness_unbind_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6226310Z   test_schema_correctness_unbind_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6226497Z   test_schema_correctness_unbind_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6226683Z   test_schema_correctness_unbind_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6226856Z   test_schema_correctness_unbind_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227044Z   test_schema_correctness_unbind_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227223Z   test_schema_correctness_unbind_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227401Z   test_schema_correctness_unbind_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227577Z   test_schema_correctness_unbind_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227761Z   test_schema_correctness_unbind_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6227955Z   test_schema_correctness_unflatten_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6228142Z   test_schema_correctness_unflatten_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6228367Z   test_schema_correctness_unflatten_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6228555Z   test_schema_correctness_unflatten_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6228751Z   test_schema_correctness_unflatten_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6228963Z   test_schema_correctness_unflatten_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6229155Z   test_schema_correctness_unflatten_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6229342Z   test_schema_correctness_unflatten_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6229528Z   test_schema_correctness_unflatten_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6229709Z   test_schema_correctness_unflatten_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6229900Z   test_schema_correctness_unflatten_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6230084Z   test_schema_correctness_unflatten_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6230350Z   test_schema_correctness_unflatten_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6230550Z   test_schema_correctness_unfold_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6230742Z   test_schema_correctness_unfold_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6230940Z   test_schema_correctness_unfold_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6231134Z   test_schema_correctness_unfold_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6231331Z   test_schema_correctness_unfold_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6231522Z   test_schema_correctness_unfold_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6231711Z   test_schema_correctness_unfold_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6231908Z   test_schema_correctness_unfold_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6232088Z   test_schema_correctness_unfold_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6232275Z   test_schema_correctness_unfold_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6232462Z   test_schema_correctness_unfold_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6232653Z   test_schema_correctness_unfold_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6232842Z   test_schema_correctness_unfold_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6233030Z   test_schema_correctness_unfold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6233213Z   test_schema_correctness_unfold_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6233404Z   test_schema_correctness_unfold_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6233591Z   test_schema_correctness_unfold_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6233771Z   test_schema_correctness_unfold_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6233959Z   test_schema_correctness_unfold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6234143Z   test_schema_correctness_unfold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6234359Z   test_schema_correctness_unfold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6234543Z   test_schema_correctness_unfold_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6234722Z   test_schema_correctness_unfold_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6234926Z   test_schema_correctness_unfold_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6235108Z   test_schema_correctness_unfold_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6235286Z   test_schema_correctness_unfold_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6235466Z   test_schema_correctness_uniform_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6235657Z   test_schema_correctness_uniform_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6235847Z   test_schema_correctness_uniform_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6236035Z   test_schema_correctness_uniform_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6236220Z   test_schema_correctness_uniform_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6236404Z   test_schema_correctness_uniform_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6236608Z   test_schema_correctness_unique_consecutive_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.230s)
2022-11-23T01:40:48.6236808Z   test_schema_correctness_unique_consecutive_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.201s)
2022-11-23T01:40:48.6237003Z   test_schema_correctness_unique_consecutive_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.201s)
2022-11-23T01:40:48.6237199Z   test_schema_correctness_unique_consecutive_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.204s)
2022-11-23T01:40:48.6237397Z   test_schema_correctness_unique_consecutive_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.204s)
2022-11-23T01:40:48.6237594Z   test_schema_correctness_unique_consecutive_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.239s)
2022-11-23T01:40:48.6237792Z   test_schema_correctness_unique_consecutive_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T01:40:48.6237989Z   test_schema_correctness_unique_consecutive_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.248s)
2022-11-23T01:40:48.6238181Z   test_schema_correctness_unique_consecutive_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.273s)
2022-11-23T01:40:48.6238364Z   test_schema_correctness_unique_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.479s)
2022-11-23T01:40:48.6238551Z   test_schema_correctness_unique_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.422s)
2022-11-23T01:40:48.6238736Z   test_schema_correctness_unique_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.397s)
2022-11-23T01:40:48.6238920Z   test_schema_correctness_unique_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.462s)
2022-11-23T01:40:48.6239099Z   test_schema_correctness_unique_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.421s)
2022-11-23T01:40:48.6239279Z   test_schema_correctness_unique_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.424s)
2022-11-23T01:40:48.6239458Z   test_schema_correctness_unique_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.436s)
2022-11-23T01:40:48.6239640Z   test_schema_correctness_unique_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.426s)
2022-11-23T01:40:48.6239822Z   test_schema_correctness_unique_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.429s)
2022-11-23T01:40:48.6240044Z   test_schema_correctness_unsqueeze_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6240230Z   test_schema_correctness_unsqueeze_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6240427Z   test_schema_correctness_unsqueeze_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6240639Z   test_schema_correctness_unsqueeze_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6240833Z   test_schema_correctness_unsqueeze_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241022Z   test_schema_correctness_unsqueeze_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241211Z   test_schema_correctness_unsqueeze_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241399Z   test_schema_correctness_unsqueeze_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241586Z   test_schema_correctness_unsqueeze_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241771Z   test_schema_correctness_unsqueeze_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6241959Z   test_schema_correctness_unsqueeze_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6242145Z   test_schema_correctness_unsqueeze_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6242329Z   test_schema_correctness_unsqueeze_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6242505Z   test_schema_correctness_var_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6242690Z   test_schema_correctness_var_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6242878Z   test_schema_correctness_var_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6243061Z   test_schema_correctness_var_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6243241Z   test_schema_correctness_var_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6243425Z   test_schema_correctness_var_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6243616Z   test_schema_correctness_var_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6243809Z   test_schema_correctness_var_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6243992Z   test_schema_correctness_var_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6244178Z   test_schema_correctness_var_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6244362Z   test_schema_correctness_var_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6244549Z   test_schema_correctness_var_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6244733Z   test_schema_correctness_vdot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6244938Z   test_schema_correctness_vdot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.6245142Z   test_schema_correctness_vdot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:40:48.6245330Z   test_schema_correctness_vdot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6245510Z   test_schema_correctness_vdot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6245686Z   test_schema_correctness_vdot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6245902Z   test_schema_correctness_view_as_complex_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6246098Z   test_schema_correctness_view_as_complex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6246317Z   test_schema_correctness_view_as_complex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6246501Z   test_schema_correctness_view_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6246686Z   test_schema_correctness_view_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6246878Z   test_schema_correctness_view_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6247066Z   test_schema_correctness_view_as_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6247259Z   test_schema_correctness_view_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6247443Z   test_schema_correctness_view_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6247622Z   test_schema_correctness_view_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6247809Z   test_schema_correctness_view_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6247990Z   test_schema_correctness_view_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6248170Z   test_schema_correctness_view_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6248345Z   test_schema_correctness_view_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6248528Z   test_schema_correctness_view_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6248706Z   test_schema_correctness_view_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6248901Z   test_schema_correctness_view_as_real_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6249097Z   test_schema_correctness_view_as_real_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T01:40:48.6249284Z   test_schema_correctness_view_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.6249469Z   test_schema_correctness_view_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.6249658Z   test_schema_correctness_view_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T01:40:48.6249848Z   test_schema_correctness_view_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250035Z   test_schema_correctness_view_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250221Z   test_schema_correctness_view_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250406Z   test_schema_correctness_view_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250593Z   test_schema_correctness_view_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250777Z   test_schema_correctness_view_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6250957Z   test_schema_correctness_view_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T01:40:48.6251166Z   test_schema_correctness_view_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6251370Z   test_schema_correctness_view_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6251581Z   test_schema_correctness_view_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6251767Z   test_schema_correctness_view_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6251954Z   test_schema_correctness_view_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6252171Z   test_schema_correctness_view_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6252351Z   test_schema_correctness_view_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6252531Z   test_schema_correctness_view_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6252704Z   test_schema_correctness_view_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6252880Z   test_schema_correctness_view_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6253058Z   test_schema_correctness_view_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6253233Z   test_schema_correctness_view_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6253416Z   test_schema_correctness_view_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T01:40:48.6253608Z   test_schema_correctness_vsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6253796Z   test_schema_correctness_vsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6253988Z   test_schema_correctness_vsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6254170Z   test_schema_correctness_vsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6254362Z   test_schema_correctness_vsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T01:40:48.6254552Z   test_schema_correctness_vsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6254736Z   test_schema_correctness_vsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6254920Z   test_schema_correctness_vsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6255109Z   test_schema_correctness_vsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6255292Z   test_schema_correctness_vsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6255473Z   test_schema_correctness_vsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6255658Z   test_schema_correctness_vsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6255828Z   test_schema_correctness_vsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6256015Z   test_schema_correctness_vstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6256195Z   test_schema_correctness_vstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6256388Z   test_schema_correctness_vstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6256581Z   test_schema_correctness_vstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6256766Z   test_schema_correctness_vstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6256950Z   test_schema_correctness_vstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6257130Z   test_schema_correctness_vstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6257313Z   test_schema_correctness_vstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6257514Z   test_schema_correctness_vstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6257697Z   test_schema_correctness_vstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6257909Z   test_schema_correctness_vstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6258088Z   test_schema_correctness_vstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6258266Z   test_schema_correctness_vstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T01:40:48.6258449Z   test_schema_correctness_where_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6258633Z   test_schema_correctness_where_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6259047Z   test_schema_correctness_where_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6259239Z   test_schema_correctness_where_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6259418Z   test_schema_correctness_where_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6259607Z   test_schema_correctness_where_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6259788Z   test_schema_correctness_where_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6259966Z   test_schema_correctness_where_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6260148Z   test_schema_correctness_where_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6260324Z   test_schema_correctness_where_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6260505Z   test_schema_correctness_where_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6260688Z   test_schema_correctness_where_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6260862Z   test_schema_correctness_where_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6261044Z   test_schema_correctness_xlogy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6261225Z   test_schema_correctness_xlogy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6261409Z   test_schema_correctness_xlogy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6261589Z   test_schema_correctness_xlogy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6261765Z   test_schema_correctness_xlogy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T01:40:48.6261947Z   test_schema_correctness_xlogy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6262124Z   test_schema_correctness_xlogy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6262298Z   test_schema_correctness_xlogy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6262481Z   test_schema_correctness_xlogy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6262649Z   test_schema_correctness_xlogy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T01:40:48.6262830Z   test_schema_correctness_zero__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6263009Z   test_schema_correctness_zero__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6263198Z   test_schema_correctness_zero__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6263447Z   test_schema_correctness_zero__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6263648Z   test_schema_correctness_zero__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6263844Z   test_schema_correctness_zero__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6264074Z   test_schema_correctness_zero__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6264267Z   test_schema_correctness_zero__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6264451Z   test_schema_correctness_zero__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6264640Z   test_schema_correctness_zero__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6264837Z   test_schema_correctness_zero__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6265036Z   test_schema_correctness_zero__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T01:40:48.6265236Z   test_schema_correctness_zeros_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6265434Z   test_schema_correctness_zeros_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6265645Z   test_schema_correctness_zeros_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6265850Z   test_schema_correctness_zeros_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6266054Z   test_schema_correctness_zeros_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6266243Z   test_schema_correctness_zeros_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6266439Z   test_schema_correctness_zeros_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6266639Z   test_schema_correctness_zeros_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6266831Z   test_schema_correctness_zeros_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6267022Z   test_schema_correctness_zeros_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6267213Z   test_schema_correctness_zeros_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6267409Z   test_schema_correctness_zeros_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6267598Z   test_schema_correctness_zeros_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T01:40:48.6267802Z   test_schema_correctness_zeros_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6268013Z   test_schema_correctness_zeros_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6268230Z   test_schema_correctness_zeros_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6268444Z   test_schema_correctness_zeros_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.001s)
2022-11-23T01:40:48.6268660Z   test_schema_correctness_zeros_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6268871Z   test_schema_correctness_zeros_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6269080Z   test_schema_correctness_zeros_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6269283Z   test_schema_correctness_zeros_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6269490Z   test_schema_correctness_zeros_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6269731Z   test_schema_correctness_zeros_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6269927Z   test_schema_correctness_zeros_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T01:40:48.6270207Z   test_schema_correctness_zeros_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.6270450Z   test_schema_correctness_zeros_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T01:40:48.6270463Z 
2022-11-23T01:40:48.6270731Z ----------------------------------------------------------------------
2022-11-23T01:40:48.6270820Z Ran 5410 tests in 449.811s
2022-11-23T01:40:48.6270826Z 
2022-11-23T01:40:48.6270907Z OK (skipped=112)
2022-11-23T01:40:48.6270912Z 
2022-11-23T01:40:48.6271002Z Generating XML reports...
2022-11-23T01:40:48.6271312Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheck-20221123013316.xml
2022-11-23T01:40:48.6271649Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheckModeOpInfoCUDA-20221123013316.xml
2022-11-23T01:40:48.6271663Z 
2022-11-23T01:40:48.6272025Z ##[endgroup]
2022-11-23T01:40:48.6272319Z FINISHED PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_z98aduco)
2022-11-23T01:40:48.6272328Z 
2022-11-23T01:40:50.4200097Z Ignoring disabled issues:  []
2022-11-23T01:40:50.4441662Z Running test_spectral_ops ... [2022-11-23 01:40:50.443450]
2022-11-23T01:40:50.4442424Z Executing ['/opt/conda/bin/python', '-bb', 'test_spectral_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:40:50.443793]
2022-11-23T01:41:00.0958297Z 
2022-11-23T01:41:00.0958819Z Expand the folded group to see the log file of test_spectral_ops
2022-11-23T01:41:00.0959948Z ##[group]PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_3jbbpcdm)
2022-11-23T01:41:00.0960646Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:44: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:41:00.0961304Z   if LooseVersion(np.__version__) >= '1.20.0' and (
2022-11-23T01:41:00.0961852Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:45: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:41:00.0962346Z   not has_scipy_fft or LooseVersion(scipy.__version__) >= '1.6.0')
2022-11-23T01:41:00.0962593Z 
2022-11-23T01:41:00.0962718Z Running tests...
2022-11-23T01:41:00.0963183Z ----------------------------------------------------------------------
2022-11-23T01:41:00.0963759Z Test results will be stored in test-reports/python-unittest/test_spectral_ops
2022-11-23T01:41:00.0964232Z   test_batch_istft_cuda (__main__.TestFFTCUDA) ... ok (0.023s)
2022-11-23T01:41:00.0964686Z   test_complex_istft_real_equiv_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.054s)
2022-11-23T01:41:00.0965155Z   test_complex_stft_definition_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.022s)
2022-11-23T01:41:00.0965620Z   test_complex_stft_onesided_cuda (__main__.TestFFTCUDA) ... ok (0.018s)
2022-11-23T01:41:00.0966068Z   test_complex_stft_real_equiv_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.233s)
2022-11-23T01:41:00.0966554Z   test_complex_stft_roundtrip_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.084s)
2022-11-23T01:41:00.0967003Z   test_complex_stft_roundtrip_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.169s)
2022-11-23T01:41:00.0967320Z   test_cufft_plan_cache_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.181s)
2022-11-23T01:41:00.0968122Z   test_empty_fft_fft_fft2_cuda_complex32 (__main__.TestFFTCUDA) ... /var/lib/jenkins/workspace/test/test_spectral_ops.py:240: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:41:00.0968621Z   t = torch.empty(1, 0, device=device, dtype=dtype)
2022-11-23T01:41:00.0969025Z ok (0.004s)
2022-11-23T01:41:00.0969285Z   test_empty_fft_fft_fft2_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0969599Z   test_empty_fft_fft_fft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0969904Z   test_empty_fft_fft_fft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0970269Z   test_empty_fft_fft_fft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0970580Z   test_empty_fft_fft_fft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0970886Z   test_empty_fft_fft_fft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0971194Z   test_empty_fft_fft_fft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0971506Z   test_empty_fft_fft_fftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0971824Z   test_empty_fft_fft_fftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0972131Z   test_empty_fft_fft_fftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0972438Z   test_empty_fft_fft_fftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0972752Z   test_empty_fft_fft_hfft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0973062Z   test_empty_fft_fft_hfft2_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0973375Z   test_empty_fft_fft_hfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0973680Z   test_empty_fft_fft_hfft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0973989Z   test_empty_fft_fft_hfft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0974290Z   test_empty_fft_fft_hfft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0974594Z   test_empty_fft_fft_hfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0974902Z   test_empty_fft_fft_hfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0975206Z   test_empty_fft_fft_hfftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0975516Z   test_empty_fft_fft_hfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0975829Z   test_empty_fft_fft_hfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0976135Z   test_empty_fft_fft_hfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0976434Z   test_empty_fft_fft_ifft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0976743Z   test_empty_fft_fft_ifft2_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0977053Z   test_empty_fft_fft_ifft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0977349Z   test_empty_fft_fft_ifft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0977655Z   test_empty_fft_fft_ifft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0977974Z   test_empty_fft_fft_ifft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0978281Z   test_empty_fft_fft_ifft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0978581Z   test_empty_fft_fft_ifft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0979115Z   test_empty_fft_fft_ifftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0979434Z   test_empty_fft_fft_ifftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0979740Z   test_empty_fft_fft_ifftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0980043Z   test_empty_fft_fft_ifftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0980347Z   test_empty_fft_fft_ihfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0980651Z   test_empty_fft_fft_ihfft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0981003Z   test_empty_fft_fft_ihfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0981309Z   test_empty_fft_fft_ihfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0981613Z   test_empty_fft_fft_ihfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0981948Z   test_empty_fft_fft_ihfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0982258Z   test_empty_fft_fft_irfft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0982573Z   test_empty_fft_fft_irfft2_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0982883Z   test_empty_fft_fft_irfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0983182Z   test_empty_fft_fft_irfft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0983489Z   test_empty_fft_fft_irfft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0983804Z   test_empty_fft_fft_irfft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0984112Z   test_empty_fft_fft_irfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0984421Z   test_empty_fft_fft_irfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0984732Z   test_empty_fft_fft_irfftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0985054Z   test_empty_fft_fft_irfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0985361Z   test_empty_fft_fft_irfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0985666Z   test_empty_fft_fft_irfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0985973Z   test_empty_fft_fft_rfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0986267Z   test_empty_fft_fft_rfft2_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0986572Z   test_empty_fft_fft_rfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0986882Z   test_empty_fft_fft_rfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0987192Z   test_empty_fft_fft_rfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0987493Z   test_empty_fft_fft_rfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0987785Z   test_empty_ifft_cuda (__main__.TestFFTCUDA) ... ok (0.017s)
2022-11-23T01:41:00.0988088Z   test_fft2_fftn_equivalence_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.099s)
2022-11-23T01:41:00.0988404Z   test_fft2_fftn_equivalence_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.129s)
2022-11-23T01:41:00.0988700Z   test_fft2_invalid_cuda (__main__.TestFFTCUDA) ... ok (0.054s)
2022-11-23T01:41:00.0988991Z   test_fft2_numpy_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.308s)
2022-11-23T01:41:00.0989283Z   test_fft2_numpy_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.383s)
2022-11-23T01:41:00.0989603Z   test_fft_half_and_bfloat16_errors_fft_fft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0989952Z   test_fft_half_and_bfloat16_errors_fft_fft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0990450Z   test_fft_half_and_bfloat16_errors_fft_fftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0990840Z   test_fft_half_and_bfloat16_errors_fft_hfft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0991186Z   test_fft_half_and_bfloat16_errors_fft_hfft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0991523Z   test_fft_half_and_bfloat16_errors_fft_hfftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0991869Z   test_fft_half_and_bfloat16_errors_fft_ifft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0992206Z   test_fft_half_and_bfloat16_errors_fft_ifft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0992552Z   test_fft_half_and_bfloat16_errors_fft_ifftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.0992934Z   test_fft_half_and_bfloat16_errors_fft_ihfft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0993276Z   test_fft_half_and_bfloat16_errors_fft_ihfft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0993617Z   test_fft_half_and_bfloat16_errors_fft_ihfftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0993992Z   test_fft_half_and_bfloat16_errors_fft_irfft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0994342Z   test_fft_half_and_bfloat16_errors_fft_irfft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0994683Z   test_fft_half_and_bfloat16_errors_fft_irfftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0995076Z   test_fft_half_and_bfloat16_errors_fft_rfft2_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0995410Z   test_fft_half_and_bfloat16_errors_fft_rfft_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0995756Z   test_fft_half_and_bfloat16_errors_fft_rfftn_cuda_bfloat16 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.0996110Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.0996484Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.0996853Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.0997216Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.0997585Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.0997952Z   test_fft_half_and_chalf_not_power_of_two_error_fft_fftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.0998325Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.0998689Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.0999058Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.018s)
2022-11-23T01:41:00.0999429Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.016s)
2022-11-23T01:41:00.0999796Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1000156Z   test_fft_half_and_chalf_not_power_of_two_error_fft_hfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1000521Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1000890Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1001263Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1001624Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1001996Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1002371Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ifftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1002736Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ihfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1003094Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ihfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1003460Z   test_fft_half_and_chalf_not_power_of_two_error_fft_ihfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1003870Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfft2_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.1004235Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.1004632Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfft_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1005000Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1005370Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfftn_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1005731Z   test_fft_half_and_chalf_not_power_of_two_error_fft_irfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1006095Z   test_fft_half_and_chalf_not_power_of_two_error_fft_rfft2_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1006460Z   test_fft_half_and_chalf_not_power_of_two_error_fft_rfft_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1006824Z   test_fft_half_and_chalf_not_power_of_two_error_fft_rfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1007152Z   test_fft_ifft_rfft_irfft_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.051s)
2022-11-23T01:41:00.1007461Z   test_fft_input_modification_cuda (__main__.TestFFTCUDA) ... ok (0.003s)
2022-11-23T01:41:00.1007768Z   test_fft_invalid_dtypes_cuda (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1008065Z   test_fft_plan_repeatable_cuda (__main__.TestFFTCUDA) ... ok (0.009s)
2022-11-23T01:41:00.1008372Z   test_fft_round_trip_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1008682Z   test_fft_round_trip_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1008985Z   test_fft_round_trip_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1009281Z   test_fft_round_trip_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.036s)
2022-11-23T01:41:00.1010183Z   test_fft_round_trip_cuda_float32 (__main__.TestFFTCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88916 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:41:00.1010766Z   test_fft_round_trip_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.035s)
2022-11-23T01:41:00.1011082Z   test_fft_type_promotion_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.006s)
2022-11-23T01:41:00.1011398Z   test_fft_type_promotion_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.002s)
2022-11-23T01:41:00.1011712Z   test_fft_type_promotion_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.006s)
2022-11-23T01:41:00.1012025Z   test_fft_type_promotion_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.002s)
2022-11-23T01:41:00.1012340Z   test_fft_type_promotion_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.002s)
2022-11-23T01:41:00.1012643Z   test_fft_type_promotion_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.002s)
2022-11-23T01:41:00.1012952Z   test_fft_type_promotion_cuda_int8 (__main__.TestFFTCUDA) ... ok (0.002s)
2022-11-23T01:41:00.1013260Z   test_fftfreq_numpy_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.016s)
2022-11-23T01:41:00.1013557Z   test_fftfreq_numpy_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.1013860Z   test_fftfreq_out_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.007s)
2022-11-23T01:41:00.1014154Z   test_fftfreq_out_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.005s)
2022-11-23T01:41:00.1014458Z   test_fftn_invalid_fft_fftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.014s)
2022-11-23T01:41:00.1014779Z   test_fftn_invalid_fft_fftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1015102Z   test_fftn_invalid_fft_hfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.017s)
2022-11-23T01:41:00.1015514Z   test_fftn_invalid_fft_hfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.017s)
2022-11-23T01:41:00.1015831Z   test_fftn_invalid_fft_ifftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1016146Z   test_fftn_invalid_fft_ifftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1016492Z   test_fftn_invalid_fft_ihfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.1016820Z   test_fftn_invalid_fft_irfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.017s)
2022-11-23T01:41:00.1017139Z   test_fftn_invalid_fft_irfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.017s)
2022-11-23T01:41:00.1017456Z   test_fftn_invalid_fft_rfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.015s)
2022-11-23T01:41:00.1017766Z   test_fftn_round_trip_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.023s)
2022-11-23T01:41:00.1018070Z   test_fftn_round_trip_cuda_complex32 (__main__.TestFFTCUDA) ... ok (0.025s)
2022-11-23T01:41:00.1018387Z   test_fftn_round_trip_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.024s)
2022-11-23T01:41:00.1018692Z   test_fftn_round_trip_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.070s)
2022-11-23T01:41:00.1019252Z   test_fftn_round_trip_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.066s)
2022-11-23T01:41:00.1019557Z   test_fftn_round_trip_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.062s)
2022-11-23T01:41:00.1019869Z   test_fftshift_frequencies_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.005s)
2022-11-23T01:41:00.1020184Z   test_fftshift_frequencies_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.1020494Z   test_fftshift_numpy_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1020801Z   test_fftshift_numpy_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1021106Z   test_fftshift_numpy_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1021402Z   test_fftshift_numpy_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.007s)
2022-11-23T01:41:00.1021702Z   test_hfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1021987Z   test_hfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.009s)
2022-11-23T01:41:00.1022268Z   test_hfftn_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.009s)
2022-11-23T01:41:00.1022547Z   test_ihfftn_cuda_float16 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1022831Z   test_ihfftn_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1023111Z   test_ihfftn_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.008s)
2022-11-23T01:41:00.1023972Z   test_istft_against_librosa_cuda_float64 (__main__.TestFFTCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:730: UserWarning: The length of signal is shorter than the length parameter. Result is being padded with zeros in the tail. Please check your center and hop_length settings. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:1163.)
2022-11-23T01:41:00.1024526Z   return torch.istft(
2022-11-23T01:41:00.1024721Z ok (0.487s)
2022-11-23T01:41:00.1024975Z   test_istft_linearity_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.363s)
2022-11-23T01:41:00.1025274Z   test_istft_of_sine_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.007s)
2022-11-23T01:41:00.1025583Z   test_istft_round_trip_simple_cases_cuda_float64 (__main__.TestFFTCUDA)
2022-11-23T01:41:00.1025939Z stft -> istft should recover the original signale ... ok (0.005s)
2022-11-23T01:41:00.1026243Z   test_istft_round_trip_various_params_cuda_float64 (__main__.TestFFTCUDA)
2022-11-23T01:41:00.1026597Z stft -> istft should recover the original signale ... ok (0.659s)
2022-11-23T01:41:00.1026905Z   test_istft_round_trip_with_padding_cuda_float64 (__main__.TestFFTCUDA)
2022-11-23T01:41:00.1027243Z long hop_length or not centered may cause length mismatch in the inversed signal ... ok (0.171s)
2022-11-23T01:41:00.1027541Z   test_istft_throws_cuda (__main__.TestFFTCUDA)
2022-11-23T01:41:00.1027928Z istft should throw exception for invalid parameters ... ok (0.009s)
2022-11-23T01:41:00.1028251Z   test_reference_1d_fft_fft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.032s)
2022-11-23T01:41:00.1028563Z   test_reference_1d_fft_fft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.035s)
2022-11-23T01:41:00.1028886Z   test_reference_1d_fft_hfft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.035s)
2022-11-23T01:41:00.1029246Z   test_reference_1d_fft_hfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.033s)
2022-11-23T01:41:00.1029563Z   test_reference_1d_fft_ifft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.030s)
2022-11-23T01:41:00.1029875Z   test_reference_1d_fft_ifft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.034s)
2022-11-23T01:41:00.1030299Z   test_reference_1d_fft_ihfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.037s)
2022-11-23T01:41:00.1030661Z   test_reference_1d_fft_irfft_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.030s)
2022-11-23T01:41:00.1030976Z   test_reference_1d_fft_irfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.031s)
2022-11-23T01:41:00.1031290Z   test_reference_1d_fft_rfft_cuda_float32 (__main__.TestFFTCUDA) ... ok (0.030s)
2022-11-23T01:41:00.1031609Z   test_reference_nd_fft_fftn_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.038s)
2022-11-23T01:41:00.1031935Z   test_reference_nd_fft_fftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.038s)
2022-11-23T01:41:00.1032259Z   test_reference_nd_fft_hfftn_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.052s)
2022-11-23T01:41:00.1032582Z   test_reference_nd_fft_hfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.039s)
2022-11-23T01:41:00.1032906Z   test_reference_nd_fft_ifftn_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.039s)
2022-11-23T01:41:00.1033220Z   test_reference_nd_fft_ifftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.038s)
2022-11-23T01:41:00.1033543Z   test_reference_nd_fft_irfftn_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.041s)
2022-11-23T01:41:00.1033874Z   test_reference_nd_fft_irfftn_cuda_complex64 (__main__.TestFFTCUDA) ... ok (0.041s)
2022-11-23T01:41:00.1034622Z   test_stft_cuda_float64 (__main__.TestFFTCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2022-11-23T01:41:00.1035299Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2022-11-23T01:41:00.1035811Z   return _VF.stft(input, n_fft, hop_length, win_length, window,  # type: ignore[attr-defined]
2022-11-23T01:41:00.1036073Z ok (0.072s)
2022-11-23T01:41:00.1036320Z   test_stft_requires_complex_cuda (__main__.TestFFTCUDA) ... ok (0.004s)
2022-11-23T01:41:00.1036640Z   test_stft_roundtrip_complex_window_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.086s)
2022-11-23T01:41:00.1036984Z   test_stft_roundtrip_complex_window_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.102s)
2022-11-23T01:41:00.1037307Z   test_stft_window_device_cuda (__main__.TestFFTCUDA) ... ok (0.013s)
2022-11-23T01:41:00.1037477Z 
2022-11-23T01:41:00.1037682Z ----------------------------------------------------------------------
2022-11-23T01:41:00.1037940Z Ran 201 tests in 5.873s
2022-11-23T01:41:00.1038064Z 
2022-11-23T01:41:00.1038145Z OK (skipped=1)
2022-11-23T01:41:00.1038259Z 
2022-11-23T01:41:00.1038354Z Generating XML reports...
2022-11-23T01:41:00.1038755Z Generated XML report: test-reports/python-unittest/test_spectral_ops/TEST-TestFFTCUDA-20221123014053.xml
2022-11-23T01:41:00.1038988Z 
2022-11-23T01:41:00.1039340Z ##[endgroup]
2022-11-23T01:41:00.1039737Z FINISHED PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_3jbbpcdm)
2022-11-23T01:41:00.1039964Z 
2022-11-23T01:41:02.0279414Z Ignoring disabled issues:  []
2022-11-23T01:41:02.0525705Z Running test_tensorboard ... [2022-11-23 01:41:02.052032]
2022-11-23T01:41:02.0527317Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:02.052372]
2022-11-23T01:41:05.2882797Z 
2022-11-23T01:41:05.2883401Z Expand the folded group to see the log file of test_tensorboard
2022-11-23T01:41:05.2884731Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_f1o8bpb5)
2022-11-23T01:41:05.2885067Z 
2022-11-23T01:41:05.2885191Z Running tests...
2022-11-23T01:41:05.2885787Z ----------------------------------------------------------------------
2022-11-23T01:41:05.2886384Z Test results will be stored in test-reports/python-unittest/test_tensorboard
2022-11-23T01:41:05.2887000Z   test_embedding (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:41:05.2887458Z ok (0.021s)
2022-11-23T01:41:05.2887926Z   test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:41:05.2888277Z ok (0.009s)
2022-11-23T01:41:05.2888545Z   test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:41:05.2888884Z   test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:41:05.2889232Z   test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:41:05.2889576Z   test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:41:05.2889949Z   test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2022-11-23T01:41:05.2890301Z   test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2022-11-23T01:41:05.2890632Z   test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.000s)
2022-11-23T01:41:05.2890944Z   test_scalar (__main__.TestTensorBoardNumpy) ... ok (0.001s)
2022-11-23T01:41:05.2891277Z   test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.000s)
2022-11-23T01:41:05.2891623Z   test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.003s)
2022-11-23T01:41:05.2891978Z   test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.005s)
2022-11-23T01:41:05.2892330Z   test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.886s)
2022-11-23T01:41:05.2892669Z   test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.002s)
2022-11-23T01:41:05.2892997Z   test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.076s)
2022-11-23T01:41:05.2893339Z   test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.069s)
2022-11-23T01:41:05.2893689Z   test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.018s)
2022-11-23T01:41:05.2894679Z   test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
2022-11-23T01:41:05.2895324Z Error occurs, No graph saved
2022-11-23T01:41:05.2895519Z ok (0.028s)
2022-11-23T01:41:05.2895810Z   test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... skip: no torchvision (0.001s)
2022-11-23T01:41:05.2896225Z   test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5)
2022-11-23T01:41:05.2896546Z Error occurs, No graph saved
2022-11-23T01:41:05.2896741Z ok (0.010s)
2022-11-23T01:41:05.2897034Z   test_audio (__main__.TestTensorBoardSummary) ... warning: audio amplitude out of range, auto clipped.
2022-11-23T01:41:05.2897313Z ok (0.001s)
2022-11-23T01:41:05.2897656Z   test_custom_scalars (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2897981Z   test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2898288Z   test_float32_image (__main__.TestTensorBoardSummary)
2022-11-23T01:41:05.2898599Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.001s)
2022-11-23T01:41:05.2899106Z   test_histogram_auto (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2899434Z   test_histogram_doane (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2899766Z   test_histogram_fd (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2900082Z   test_hparams_bool (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:41:05.2900417Z   test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2900754Z   test_hparams_number (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2901071Z   test_hparams_smoke (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2901393Z   test_hparams_string (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2901791Z   test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged.
2022-11-23T01:41:05.2902175Z parameter: metric_dict should be a dictionary, nothing logged.
2022-11-23T01:41:05.2902412Z ok (0.003s)
2022-11-23T01:41:05.2902684Z   test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2903024Z   test_image_with_boxes (__main__.TestTensorBoardSummary) ... ok (0.003s)
2022-11-23T01:41:05.2903350Z   test_image_with_one_channel (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2903702Z   test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2904047Z   test_image_without_channel (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2904366Z   test_list_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2904670Z   test_mesh (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:41:05.2904984Z   test_scalar_new_style (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2905296Z   test_text (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:41:05.2905583Z   test_uint8_image (__main__.TestTensorBoardSummary)
2022-11-23T01:41:05.2905893Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.000s)
2022-11-23T01:41:05.2906206Z   test_video (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:41:05.2906518Z   test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:41:05.2906868Z   test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:41:05.2907228Z   test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:41:05.2907585Z   test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... ok (0.000s)
2022-11-23T01:41:05.2907910Z   test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.015s)
2022-11-23T01:41:05.2908225Z   test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.081s)
2022-11-23T01:41:05.2908576Z   test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.001s)
2022-11-23T01:41:05.2908909Z   test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy
2022-11-23T01:41:05.2909181Z ok (0.050s)
2022-11-23T01:41:05.2909407Z 
2022-11-23T01:41:05.2909651Z ----------------------------------------------------------------------
2022-11-23T01:41:05.2909940Z Ran 53 tests in 1.309s
2022-11-23T01:41:05.2910132Z 
2022-11-23T01:41:05.2910243Z OK (skipped=7)
2022-11-23T01:41:05.2910441Z 
2022-11-23T01:41:05.2910565Z Generating XML reports...
2022-11-23T01:41:05.2911108Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123014103.xml
2022-11-23T01:41:05.2911740Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123014103.xml
2022-11-23T01:41:05.2922327Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123014103.xml
2022-11-23T01:41:05.2922926Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123014103.xml
2022-11-23T01:41:05.2923575Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123014103.xml
2022-11-23T01:41:05.2924140Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123014103.xml
2022-11-23T01:41:05.2924703Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123014103.xml
2022-11-23T01:41:05.2925245Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123014103.xml
2022-11-23T01:41:05.2925796Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123014103.xml
2022-11-23T01:41:05.2926044Z 
2022-11-23T01:41:05.2926291Z ##[endgroup]
2022-11-23T01:41:05.2926693Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_f1o8bpb5)
2022-11-23T01:41:05.2926931Z 
2022-11-23T01:41:07.2064362Z Ignoring disabled issues:  []
2022-11-23T01:41:07.2318093Z Running test_type_promotion ... [2022-11-23 01:41:07.231220]
2022-11-23T01:41:07.2318900Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_promotion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:07.231586]
2022-11-23T01:41:26.9032026Z 
2022-11-23T01:41:26.9032672Z Expand the folded group to see the log file of test_type_promotion
2022-11-23T01:41:26.9033578Z ##[group]PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_dwl2ckvh)
2022-11-23T01:41:26.9033894Z 
2022-11-23T01:41:26.9033975Z Running tests...
2022-11-23T01:41:26.9036534Z ----------------------------------------------------------------------
2022-11-23T01:41:26.9037095Z Test results will be stored in test-reports/python-unittest/test_type_promotion
2022-11-23T01:41:26.9037538Z   test_add_wrapped_cuda (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9037965Z   test_alpha_mismatch_cuda (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9044253Z   test_alternate_result_cuda (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9044701Z   test_bfloat16_cuda (__main__.TestTypePromotionCUDA) ... ok (0.013s)
2022-11-23T01:41:26.9045253Z   test_booleans_cuda (__main__.TestTypePromotionCUDA) ... /var/lib/jenkins/workspace/test/test_type_promotion.py:434: UserWarning: This overload of add is deprecated:
2022-11-23T01:41:26.9045740Z 	add(Tensor input, Number alpha, Tensor other, *, Tensor out)
2022-11-23T01:41:26.9046025Z Consider using one of the following signatures instead:
2022-11-23T01:41:26.9046460Z 	add(Tensor input, Tensor other, *, Number alpha, Tensor out) (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/python_arg_parser.cpp:1488.)
2022-11-23T01:41:26.9046997Z   self.assertEqual(torch.add(torch.tensor(True, device=device),
2022-11-23T01:41:26.9047301Z ok (0.012s)
2022-11-23T01:41:26.9047553Z   test_can_cast_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9048010Z   test_cat_different_dtypes_cuda (__main__.TestTypePromotionCUDA) ... ok (0.148s)
2022-11-23T01:41:26.9048534Z   test_cat_out_different_dtypes_cuda (__main__.TestTypePromotionCUDA) ... ok (2.197s)
2022-11-23T01:41:26.9049059Z   test_clamp_type_promotion_cuda_bool_bool_bool (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9049601Z   test_clamp_type_promotion_cuda_bool_bool_float32 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9050146Z   test_clamp_type_promotion_cuda_bool_bool_float64 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9050919Z   test_clamp_type_promotion_cuda_bool_bool_int32 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9051583Z   test_clamp_type_promotion_cuda_bool_float32_bool (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9052109Z   test_clamp_type_promotion_cuda_bool_float32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9052650Z   test_clamp_type_promotion_cuda_bool_float32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9053032Z   test_clamp_type_promotion_cuda_bool_float32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9053397Z   test_clamp_type_promotion_cuda_bool_float64_bool (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9053769Z   test_clamp_type_promotion_cuda_bool_float64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9054141Z   test_clamp_type_promotion_cuda_bool_float64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9054510Z   test_clamp_type_promotion_cuda_bool_float64_int32 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9054882Z   test_clamp_type_promotion_cuda_bool_int32_bool (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9055255Z   test_clamp_type_promotion_cuda_bool_int32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9055622Z   test_clamp_type_promotion_cuda_bool_int32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9055990Z   test_clamp_type_promotion_cuda_bool_int32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9056367Z   test_clamp_type_promotion_cuda_float32_bool_bool (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9056742Z   test_clamp_type_promotion_cuda_float32_bool_float32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9057120Z   test_clamp_type_promotion_cuda_float32_bool_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9057486Z   test_clamp_type_promotion_cuda_float32_bool_int32 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9057857Z   test_clamp_type_promotion_cuda_float32_float32_bool (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9058236Z   test_clamp_type_promotion_cuda_float32_float32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9058613Z   test_clamp_type_promotion_cuda_float32_float32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9059307Z   test_clamp_type_promotion_cuda_float32_float32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9059689Z   test_clamp_type_promotion_cuda_float32_float64_bool (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9060074Z   test_clamp_type_promotion_cuda_float32_float64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9060457Z   test_clamp_type_promotion_cuda_float32_float64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9060835Z   test_clamp_type_promotion_cuda_float32_float64_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9061212Z   test_clamp_type_promotion_cuda_float32_int32_bool (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9061594Z   test_clamp_type_promotion_cuda_float32_int32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9061964Z   test_clamp_type_promotion_cuda_float32_int32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9062342Z   test_clamp_type_promotion_cuda_float32_int32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9062719Z   test_clamp_type_promotion_cuda_float64_bool_bool (__main__.TestTypePromotionCUDA) ... ok (0.008s)
2022-11-23T01:41:26.9063095Z   test_clamp_type_promotion_cuda_float64_bool_float32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9063544Z   test_clamp_type_promotion_cuda_float64_bool_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9063923Z   test_clamp_type_promotion_cuda_float64_bool_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9064305Z   test_clamp_type_promotion_cuda_float64_float32_bool (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9064712Z   test_clamp_type_promotion_cuda_float64_float32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9065097Z   test_clamp_type_promotion_cuda_float64_float32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9065474Z   test_clamp_type_promotion_cuda_float64_float32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9065854Z   test_clamp_type_promotion_cuda_float64_float64_bool (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9066224Z   test_clamp_type_promotion_cuda_float64_float64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9066607Z   test_clamp_type_promotion_cuda_float64_float64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9066985Z   test_clamp_type_promotion_cuda_float64_float64_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9067375Z   test_clamp_type_promotion_cuda_float64_int32_bool (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9067746Z   test_clamp_type_promotion_cuda_float64_int32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9068119Z   test_clamp_type_promotion_cuda_float64_int32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9068497Z   test_clamp_type_promotion_cuda_float64_int32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.007s)
2022-11-23T01:41:26.9068862Z   test_clamp_type_promotion_cuda_int32_bool_bool (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9069238Z   test_clamp_type_promotion_cuda_int32_bool_float32 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9069617Z   test_clamp_type_promotion_cuda_int32_bool_float64 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9069995Z   test_clamp_type_promotion_cuda_int32_bool_int32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9070481Z   test_clamp_type_promotion_cuda_int32_float32_bool (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9070855Z   test_clamp_type_promotion_cuda_int32_float32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9071231Z   test_clamp_type_promotion_cuda_int32_float32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9071601Z   test_clamp_type_promotion_cuda_int32_float32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9071966Z   test_clamp_type_promotion_cuda_int32_float64_bool (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9072340Z   test_clamp_type_promotion_cuda_int32_float64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9072713Z   test_clamp_type_promotion_cuda_int32_float64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9073125Z   test_clamp_type_promotion_cuda_int32_float64_int32 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9073497Z   test_clamp_type_promotion_cuda_int32_int32_bool (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9073869Z   test_clamp_type_promotion_cuda_int32_int32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9074236Z   test_clamp_type_promotion_cuda_int32_int32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9074591Z   test_clamp_type_promotion_cuda_int32_int32_int32 (__main__.TestTypePromotionCUDA) ... ok (0.006s)
2022-11-23T01:41:26.9074957Z   test_comparison_ops_with_type_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (0.505s)
2022-11-23T01:41:26.9075871Z   test_complex_assertraises_cuda (__main__.TestTypePromotionCUDA) ... /var/lib/jenkins/workspace/test/test_type_promotion.py:647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:41:26.9076469Z   v = torch.tensor([2], dtype=dt2, device=device)
2022-11-23T01:41:26.9076690Z ok (0.915s)
2022-11-23T01:41:26.9076943Z   test_complex_half_cuda (__main__.TestTypePromotionCUDA) ... ok (0.327s)
2022-11-23T01:41:26.9077281Z   test_complex_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (2.394s)
2022-11-23T01:41:26.9077644Z   test_complex_scalar_mult_tensor_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9078002Z   test_computation_ignores_out_cuda (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9078354Z   test_create_bool_tensors_cuda (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9078698Z   test_div_promotion_cuda_bool (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9079036Z   test_div_promotion_cuda_int16 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9079362Z   test_div_promotion_cuda_int32 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9079688Z   test_div_promotion_cuda_int64 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9080028Z   test_div_promotion_cuda_int8 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9080354Z   test_div_promotion_cuda_uint8 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9080699Z   test_div_promotion_inplace_cuda_bool (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9081057Z   test_div_promotion_inplace_cuda_float32 (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9081419Z   test_div_promotion_inplace_cuda_float64 (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9081768Z   test_div_promotion_inplace_cuda_int16 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9082122Z   test_div_promotion_inplace_cuda_int32 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9082475Z   test_div_promotion_inplace_cuda_int64 (__main__.TestTypePromotionCUDA) ... ok (0.016s)
2022-11-23T01:41:26.9082824Z   test_div_promotion_inplace_cuda_int8 (__main__.TestTypePromotionCUDA) ... ok (0.016s)
2022-11-23T01:41:26.9083189Z   test_div_promotion_inplace_cuda_uint8 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9083542Z   test_div_promotion_out_cuda_bool (__main__.TestTypePromotionCUDA) ... ok (0.016s)
2022-11-23T01:41:26.9083889Z   test_div_promotion_out_cuda_float32 (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9084230Z   test_div_promotion_out_cuda_float64 (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9084575Z   test_div_promotion_out_cuda_int16 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9084927Z   test_div_promotion_out_cuda_int32 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9085264Z   test_div_promotion_out_cuda_int64 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9085606Z   test_div_promotion_out_cuda_int8 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9085950Z   test_div_promotion_out_cuda_uint8 (__main__.TestTypePromotionCUDA) ... ok (0.017s)
2022-11-23T01:41:26.9086293Z   test_float_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9086615Z   test_from_issue_cuda (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9086931Z   test_half_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9087247Z   test_indexing_cuda (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9087566Z   test_indexing_fail_cuda (__main__.TestTypePromotionCUDA) ... ok (0.010s)
2022-11-23T01:41:26.9087893Z   test_inplace_cuda (__main__.TestTypePromotionCUDA) ... ok (0.023s)
2022-11-23T01:41:26.9088268Z   test_int_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9088604Z   test_int_to_float_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9088947Z   test_integer_addcdiv_deprecated_cuda_int16 (__main__.TestTypePromotionCUDA) ... ok (0.013s)
2022-11-23T01:41:26.9089354Z   test_integer_addcdiv_deprecated_cuda_int32 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9089722Z   test_integer_addcdiv_deprecated_cuda_int64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9090076Z   test_integer_addcdiv_deprecated_cuda_int8 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9090446Z   test_integer_addcdiv_deprecated_cuda_uint8 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9090805Z   test_lt_with_type_promotion_cuda (__main__.TestTypePromotionCUDA) ... ok (0.005s)
2022-11-23T01:41:26.9091148Z   test_many_promotions_cuda (__main__.TestTypePromotionCUDA) ... ok (0.786s)
2022-11-23T01:41:26.9091482Z   test_mixed_type_backward_cuda (__main__.TestTypePromotionCUDA) ... ok (0.027s)
2022-11-23T01:41:26.9091823Z   test_non_promoting_ops_cuda (__main__.TestTypePromotionCUDA) ... ok (0.009s)
2022-11-23T01:41:26.9092212Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9092649Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9093076Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9093514Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9093937Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9094359Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9094774Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9095192Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9095610Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9096030Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9096441Z   test_numpy_array_binary_ufunc_promotion_cuda_bool_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9096869Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9097307Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9097752Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9098184Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9098621Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9099279Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9099798Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9100218Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9100646Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9101113Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9101541Z   test_numpy_array_binary_ufunc_promotion_cuda_complex128_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9101965Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9102406Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9102849Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9103285Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9103714Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9104143Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9104571Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9104998Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9105423Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9105851Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9106277Z   test_numpy_array_binary_ufunc_promotion_cuda_complex64_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9106703Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9107124Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9107557Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9107988Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9108413Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9108829Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9109254Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9109671Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9110190Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9110631Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9111126Z   test_numpy_array_binary_ufunc_promotion_cuda_float16_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9111551Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9112010Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9112482Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9112906Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9113335Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9113764Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9114181Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9114598Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9115020Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9115444Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9115857Z   test_numpy_array_binary_ufunc_promotion_cuda_float32_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9116277Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9116709Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9117143Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9117564Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9117988Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9118410Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9118831Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9119242Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9119655Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9120073Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9120496Z   test_numpy_array_binary_ufunc_promotion_cuda_float64_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9120908Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9121334Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9121800Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9122226Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9122631Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9123073Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9123491Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9123904Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9124309Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9124725Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9125137Z   test_numpy_array_binary_ufunc_promotion_cuda_int16_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9125557Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9125976Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9126403Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9126828Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9127242Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9127648Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9128064Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9128480Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9128890Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9129296Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9129704Z   test_numpy_array_binary_ufunc_promotion_cuda_int32_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9130126Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9130551Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9130972Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9131388Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9131804Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9132227Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9132669Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9133083Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9133494Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9133938Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9134342Z   test_numpy_array_binary_ufunc_promotion_cuda_int64_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9134755Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9135174Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9135601Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9136022Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9136445Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9136861Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9137281Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9137684Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9138091Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9138508Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9139910Z   test_numpy_array_binary_ufunc_promotion_cuda_int8_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9140331Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_bool (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9140753Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_complex128 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9141187Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_complex64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9141619Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_float16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9142034Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_float32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9142451Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_float64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9142877Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_int16 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9143297Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_int32 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9143706Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_int64 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9144123Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_int8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9144658Z   test_numpy_array_binary_ufunc_promotion_cuda_uint8_uint8 (__main__.TestTypePromotionCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:41:26.9145035Z   test_promote_self_cuda (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9145361Z   test_promote_types_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9145706Z   test_result_type_cuda_bfloat16_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9146076Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9146396Z   test_result_type_cuda_bfloat16_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9146720Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9147054Z   test_result_type_cuda_bfloat16_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9147385Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9147703Z   test_result_type_cuda_bfloat16_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9148032Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9148353Z   test_result_type_cuda_bfloat16_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9148667Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9148986Z   test_result_type_cuda_bfloat16_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9149303Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9149619Z   test_result_type_cuda_bfloat16_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9149945Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9150384Z   test_result_type_cuda_bfloat16_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9150708Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9151012Z   test_result_type_cuda_bfloat16_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9151335Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9151653Z   test_result_type_cuda_bfloat16_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9151964Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9152289Z   test_result_type_cuda_bfloat16_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9152603Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9152924Z   test_result_type_cuda_bfloat16_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9153235Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9153555Z   test_result_type_cuda_bool_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9153878Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9154182Z   test_result_type_cuda_bool_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9154501Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9154825Z   test_result_type_cuda_bool_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9155150Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9155464Z   test_result_type_cuda_bool_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9155781Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9156102Z   test_result_type_cuda_bool_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9156413Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9156728Z   test_result_type_cuda_bool_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9157046Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9157352Z   test_result_type_cuda_bool_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9157708Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9158023Z   test_result_type_cuda_bool_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9158335Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9158667Z   test_result_type_cuda_bool_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9158982Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9159299Z   test_result_type_cuda_bool_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9159605Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9159920Z   test_result_type_cuda_bool_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9160230Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9160540Z   test_result_type_cuda_bool_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9160847Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9161177Z   test_result_type_cuda_complex128_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9161507Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9161822Z   test_result_type_cuda_complex128_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9162142Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9162473Z   test_result_type_cuda_complex128_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9162803Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9163121Z   test_result_type_cuda_complex128_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9163449Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9163771Z   test_result_type_cuda_complex128_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9164081Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9164400Z   test_result_type_cuda_complex128_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9164719Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9165036Z   test_result_type_cuda_complex128_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9165349Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9165671Z   test_result_type_cuda_complex128_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9165995Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9166303Z   test_result_type_cuda_complex128_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9166622Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9166939Z   test_result_type_cuda_complex128_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9167255Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9167578Z   test_result_type_cuda_complex128_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9167901Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9168227Z   test_result_type_cuda_complex128_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9168538Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9168857Z   test_result_type_cuda_complex64_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9169176Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9169487Z   test_result_type_cuda_complex64_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9169803Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9170180Z   test_result_type_cuda_complex64_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9170510Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.011s)
2022-11-23T01:41:26.9170827Z   test_result_type_cuda_complex64_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9171156Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.011s)
2022-11-23T01:41:26.9171508Z   test_result_type_cuda_complex64_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9171825Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.010s)
2022-11-23T01:41:26.9172146Z   test_result_type_cuda_complex64_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9172472Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9172791Z   test_result_type_cuda_complex64_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9173104Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9173428Z   test_result_type_cuda_complex64_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9173752Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9174066Z   test_result_type_cuda_complex64_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9174385Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9174706Z   test_result_type_cuda_complex64_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9175022Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9175346Z   test_result_type_cuda_complex64_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9175666Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9175984Z   test_result_type_cuda_complex64_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9176296Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9176615Z   test_result_type_cuda_float16_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9176937Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9177250Z   test_result_type_cuda_float16_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9177570Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9177890Z   test_result_type_cuda_float16_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9178211Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9178521Z   test_result_type_cuda_float16_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9179197Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.009s)
2022-11-23T01:41:26.9179532Z   test_result_type_cuda_float16_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9179845Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9180171Z   test_result_type_cuda_float16_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9180489Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9180808Z   test_result_type_cuda_float16_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9181118Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9181438Z   test_result_type_cuda_float16_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9181757Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9182064Z   test_result_type_cuda_float16_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9182378Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9182693Z   test_result_type_cuda_float16_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9183003Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9183434Z   test_result_type_cuda_float16_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9183751Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9184067Z   test_result_type_cuda_float16_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9184426Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9184746Z   test_result_type_cuda_float32_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9185066Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9185373Z   test_result_type_cuda_float32_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9185693Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9186014Z   test_result_type_cuda_float32_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9186329Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9186641Z   test_result_type_cuda_float32_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9186959Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9187279Z   test_result_type_cuda_float32_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9187595Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9187911Z   test_result_type_cuda_float32_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9188225Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9188544Z   test_result_type_cuda_float32_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9188857Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9189174Z   test_result_type_cuda_float32_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9189488Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9189800Z   test_result_type_cuda_float32_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9190203Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9190518Z   test_result_type_cuda_float32_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9190835Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9191141Z   test_result_type_cuda_float32_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9191453Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9191770Z   test_result_type_cuda_float32_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9192081Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9192399Z   test_result_type_cuda_float64_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9192716Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9193025Z   test_result_type_cuda_float64_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9193342Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9193662Z   test_result_type_cuda_float64_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9193982Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9194291Z   test_result_type_cuda_float64_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9194611Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.008s)
2022-11-23T01:41:26.9194933Z   test_result_type_cuda_float64_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9195243Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9195559Z   test_result_type_cuda_float64_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9195877Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9196269Z   test_result_type_cuda_float64_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9196582Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9196894Z   test_result_type_cuda_float64_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9197238Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9197549Z   test_result_type_cuda_float64_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9197864Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9198180Z   test_result_type_cuda_float64_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9198494Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9198800Z   test_result_type_cuda_float64_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9199112Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9199431Z   test_result_type_cuda_float64_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9199738Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9200054Z   test_result_type_cuda_int16_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9200375Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9200675Z   test_result_type_cuda_int16_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9200986Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9201309Z   test_result_type_cuda_int16_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9201632Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9201941Z   test_result_type_cuda_int16_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9202261Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9202580Z   test_result_type_cuda_int16_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9202884Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9203202Z   test_result_type_cuda_int16_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9203520Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9203832Z   test_result_type_cuda_int16_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9204137Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9204449Z   test_result_type_cuda_int16_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9204765Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9205069Z   test_result_type_cuda_int16_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9205388Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9205701Z   test_result_type_cuda_int16_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9206011Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9206313Z   test_result_type_cuda_int16_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9206625Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9206939Z   test_result_type_cuda_int16_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9207242Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9207560Z   test_result_type_cuda_int32_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9207876Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9208178Z   test_result_type_cuda_int32_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9208487Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9208846Z   test_result_type_cuda_int32_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9209168Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9209482Z   test_result_type_cuda_int32_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9209846Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9210159Z   test_result_type_cuda_int32_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9210466Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9210780Z   test_result_type_cuda_int32_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9211095Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9211409Z   test_result_type_cuda_int32_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9211716Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9212033Z   test_result_type_cuda_int32_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9212346Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9212647Z   test_result_type_cuda_int32_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9212961Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9213273Z   test_result_type_cuda_int32_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9213590Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9213892Z   test_result_type_cuda_int32_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9214205Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9214516Z   test_result_type_cuda_int32_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9214823Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9215144Z   test_result_type_cuda_int64_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9215462Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9215764Z   test_result_type_cuda_int64_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9216083Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9216400Z   test_result_type_cuda_int64_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9216723Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9217035Z   test_result_type_cuda_int64_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9217353Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9217667Z   test_result_type_cuda_int64_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9217974Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9218290Z   test_result_type_cuda_int64_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9218603Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9219302Z   test_result_type_cuda_int64_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9219618Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9219929Z   test_result_type_cuda_int64_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9220242Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9220543Z   test_result_type_cuda_int64_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9220857Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9221166Z   test_result_type_cuda_int64_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9221468Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9221969Z   test_result_type_cuda_int64_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9222289Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9222597Z   test_result_type_cuda_int64_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9222948Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9223262Z   test_result_type_cuda_int8_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9223580Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9223883Z   test_result_type_cuda_int8_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9224195Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9224513Z   test_result_type_cuda_int8_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9224837Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9225149Z   test_result_type_cuda_int8_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9225466Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9225785Z   test_result_type_cuda_int8_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9226096Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9226410Z   test_result_type_cuda_int8_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9226727Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9227033Z   test_result_type_cuda_int8_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9227334Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9227646Z   test_result_type_cuda_int8_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9227958Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9228265Z   test_result_type_cuda_int8_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9228576Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9228883Z   test_result_type_cuda_int8_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9229185Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9229492Z   test_result_type_cuda_int8_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9229800Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9230199Z   test_result_type_cuda_int8_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9230500Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9230814Z   test_result_type_cuda_uint8_bfloat16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9231126Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9231428Z   test_result_type_cuda_uint8_bool (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9231735Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9232047Z   test_result_type_cuda_uint8_complex128 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9232365Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.007s)
2022-11-23T01:41:26.9232673Z   test_result_type_cuda_uint8_complex64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9232992Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9233302Z   test_result_type_cuda_uint8_float16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9233603Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.006s)
2022-11-23T01:41:26.9233913Z   test_result_type_cuda_uint8_float32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9234225Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9234610Z   test_result_type_cuda_uint8_float64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9234915Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.005s)
2022-11-23T01:41:26.9235222Z   test_result_type_cuda_uint8_int16 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9235560Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9235856Z   test_result_type_cuda_uint8_int32 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9236166Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9236473Z   test_result_type_cuda_uint8_int64 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9236773Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9237080Z   test_result_type_cuda_uint8_int8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9237385Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9237693Z   test_result_type_cuda_uint8_uint8 (__main__.TestTypePromotionCUDA)
2022-11-23T01:41:26.9237991Z Test result_type for tensor vs tensor and scalar vs scalar. ... ok (0.004s)
2022-11-23T01:41:26.9238326Z   test_result_type_tensor_vs_scalar_cuda (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9238666Z   test_sparse_add_cuda (__main__.TestTypePromotionCUDA) ... ok (2.932s)
2022-11-23T01:41:26.9238978Z   test_sparse_div_cuda (__main__.TestTypePromotionCUDA) ... ok (0.222s)
2022-11-23T01:41:26.9239319Z   test_sparse_div_promotion_cuda_bool (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9239674Z   test_sparse_div_promotion_cuda_int16 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9240026Z   test_sparse_div_promotion_cuda_int32 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9240365Z   test_sparse_div_promotion_cuda_int64 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9240716Z   test_sparse_div_promotion_cuda_uint8 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9241044Z   test_sparse_mul_cuda (__main__.TestTypePromotionCUDA) ... ok (1.269s)
2022-11-23T01:41:26.9241354Z   test_sparse_sub_cuda (__main__.TestTypePromotionCUDA) ... ok (2.838s)
2022-11-23T01:41:26.9241672Z   test_transpose_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9242026Z   test_unary_op_out_casting_cuda_complex128_complex128 (__main__.TestTypePromotionCUDA) ... ok (0.009s)
2022-11-23T01:41:26.9242410Z   test_unary_op_out_casting_cuda_complex128_complex64 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9242778Z   test_unary_op_out_casting_cuda_complex128_float32 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9243150Z   test_unary_op_out_casting_cuda_complex128_float64 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9243521Z   test_unary_op_out_casting_cuda_complex128_int64 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9243899Z   test_unary_op_out_casting_cuda_complex64_complex128 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9244262Z   test_unary_op_out_casting_cuda_complex64_complex64 (__main__.TestTypePromotionCUDA) ... ok (0.009s)
2022-11-23T01:41:26.9244636Z   test_unary_op_out_casting_cuda_complex64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9245010Z   test_unary_op_out_casting_cuda_complex64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9245367Z   test_unary_op_out_casting_cuda_complex64_int64 (__main__.TestTypePromotionCUDA) ... ok (0.011s)
2022-11-23T01:41:26.9245731Z   test_unary_op_out_casting_cuda_float32_complex128 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9246100Z   test_unary_op_out_casting_cuda_float32_complex64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9246468Z   test_unary_op_out_casting_cuda_float32_float32 (__main__.TestTypePromotionCUDA) ... ok (0.004s)
2022-11-23T01:41:26.9246854Z   test_unary_op_out_casting_cuda_float32_float64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9247212Z   test_unary_op_out_casting_cuda_float32_int64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9247580Z   test_unary_op_out_casting_cuda_float64_complex128 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9247972Z   test_unary_op_out_casting_cuda_float64_complex64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9248328Z   test_unary_op_out_casting_cuda_float64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9248693Z   test_unary_op_out_casting_cuda_float64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.003s)
2022-11-23T01:41:26.9249055Z   test_unary_op_out_casting_cuda_float64_int64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9249411Z   test_unary_op_out_casting_cuda_int64_complex128 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9249778Z   test_unary_op_out_casting_cuda_int64_complex64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9250137Z   test_unary_op_out_casting_cuda_int64_float32 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9250491Z   test_unary_op_out_casting_cuda_int64_float64 (__main__.TestTypePromotionCUDA) ... ok (0.012s)
2022-11-23T01:41:26.9250841Z   test_unary_op_out_casting_cuda_int64_int64 (__main__.TestTypePromotionCUDA) ... ok (0.002s)
2022-11-23T01:41:26.9251176Z   test_unsigned_cuda (__main__.TestTypePromotionCUDA) ... ok (0.001s)
2022-11-23T01:41:26.9251356Z 
2022-11-23T01:41:26.9251663Z ----------------------------------------------------------------------
2022-11-23T01:41:26.9251916Z Ran 422 tests in 16.754s
2022-11-23T01:41:26.9252045Z 
2022-11-23T01:41:26.9252126Z OK (skipped=121)
2022-11-23T01:41:26.9252250Z 
2022-11-23T01:41:26.9252345Z Generating XML reports...
2022-11-23T01:41:26.9252812Z Generated XML report: test-reports/python-unittest/test_type_promotion/TEST-TestTypePromotionCUDA-20221123014109.xml
2022-11-23T01:41:26.9253070Z 
2022-11-23T01:41:26.9253487Z ##[endgroup]
2022-11-23T01:41:26.9253905Z FINISHED PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_dwl2ckvh)
2022-11-23T01:41:26.9254149Z 
2022-11-23T01:41:28.8257284Z Ignoring disabled issues:  []
2022-11-23T01:41:28.8501043Z Running test_vmap ... [2022-11-23 01:41:28.849487]
2022-11-23T01:41:28.8502142Z Executing ['/opt/conda/bin/python', '-bb', 'test_vmap.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:28.849839]
2022-11-23T01:41:34.4444215Z 
2022-11-23T01:41:34.4444833Z Expand the folded group to see the log file of test_vmap
2022-11-23T01:41:34.4445883Z ##[group]PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_atau8vi2)
2022-11-23T01:41:34.4446214Z 
2022-11-23T01:41:34.4446338Z Running tests...
2022-11-23T01:41:34.4447062Z ----------------------------------------------------------------------
2022-11-23T01:41:34.4447685Z Test results will be stored in test-reports/python-unittest/test_vmap
2022-11-23T01:41:34.4449076Z   test_accepts_nested_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:376: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4449954Z   out = vmap(lambda z: z[0] + z[1])((x, y))
2022-11-23T01:41:34.4450708Z /var/lib/jenkins/workspace/test/test_vmap.py:378: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4451213Z   out = vmap(lambda z: z[0] + z[1], in_dims=(0,))((x, y))
2022-11-23T01:41:34.4452078Z /var/lib/jenkins/workspace/test/test_vmap.py:380: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4452641Z   out = vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y))
2022-11-23T01:41:34.4453333Z /var/lib/jenkins/workspace/test/test_vmap.py:383: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4453815Z   out = vmap(lambda z: z[0] + z[1])([x, y])
2022-11-23T01:41:34.4454492Z /var/lib/jenkins/workspace/test/test_vmap.py:385: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4454990Z   out = vmap(lambda z: z[0] + z[1], in_dims=(0,))([x, y])
2022-11-23T01:41:34.4455717Z /var/lib/jenkins/workspace/test/test_vmap.py:387: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4456216Z   out = vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, y])
2022-11-23T01:41:34.4456903Z /var/lib/jenkins/workspace/test/test_vmap.py:390: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4457442Z   out = vmap(lambda z: z['x'] + z['y'])({'x': x, 'y': y})
2022-11-23T01:41:34.4458129Z /var/lib/jenkins/workspace/test/test_vmap.py:392: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4458694Z   out = vmap(lambda z: z['x'] + z['y'], in_dims=(0,))({'x': x, 'y': y})
2022-11-23T01:41:34.4459568Z /var/lib/jenkins/workspace/test/test_vmap.py:394: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4460153Z   out = vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y})
2022-11-23T01:41:34.4460856Z /var/lib/jenkins/workspace/test/test_vmap.py:398: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4461425Z   out_fn = vmap(lambda z: z['x'][0] + z['x'][1][0] + z['y'][0] + z['y'][1])
2022-11-23T01:41:34.4461662Z ok (0.005s)
2022-11-23T01:41:34.4462418Z   test_backward_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:748: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4462971Z   vmap(backward_on_vmapped_tensor)(x)
2022-11-23T01:41:34.4463686Z /var/lib/jenkins/workspace/test/test_vmap.py:754: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4464185Z   vmap(backward_with_vmapped_grad)(x, grad)
2022-11-23T01:41:34.4464863Z /var/lib/jenkins/workspace/test/test_vmap.py:760: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4465385Z   vmap(completely_unrelated_backward)(y)
2022-11-23T01:41:34.4465595Z ok (0.004s)
2022-11-23T01:41:34.4466328Z   test_batched_gradient_basic (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:792: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4466859Z   jacobian = vmap(vjp_mul)(batched_v)
2022-11-23T01:41:34.4467070Z ok (0.001s)
2022-11-23T01:41:34.4467785Z   test_constant_function (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:63: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4468341Z   output = vmap(lambda x: torch.tensor(3.14))(torch.ones(3))
2022-11-23T01:41:34.4468571Z ok (0.001s)
2022-11-23T01:41:34.4469304Z   test_different_map_dim_size_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:41: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4469818Z   vmap(torch.mul)(x, y)
2022-11-23T01:41:34.4470633Z /var/lib/jenkins/workspace/test/test_vmap.py:43: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4471147Z   vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y))
2022-11-23T01:41:34.4471830Z /var/lib/jenkins/workspace/test/test_vmap.py:45: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4472409Z   vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y})
2022-11-23T01:41:34.4472634Z ok (0.001s)
2022-11-23T01:41:34.4473351Z   test_fallback_atan2 (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:554: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4473871Z   result = vmap(op, (2, 0))(x, y)
2022-11-23T01:41:34.4474539Z /var/lib/jenkins/workspace/test/test_vmap.py:560: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4475011Z   result = vmap(vmap(op), (2, 0))(x, y)
2022-11-23T01:41:34.4475719Z /var/lib/jenkins/workspace/test/test_vmap.py:566: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4476201Z   result = vmap(vmap(vmap(op)))(x, y)
2022-11-23T01:41:34.4476408Z ok (0.103s)
2022-11-23T01:41:34.4476653Z   test_fallback_does_not_warn_by_default (__main__.TestVmapAPI) ... ok (0.001s)
2022-11-23T01:41:34.4477445Z   test_fallback_masked_fill (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4478054Z   result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values)
2022-11-23T01:41:34.4478762Z /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4479282Z   result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values)
2022-11-23T01:41:34.4479509Z ok (0.043s)
2022-11-23T01:41:34.4480237Z   test_fallback_multiple_returns (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:600: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4480771Z   result = vmap(torch.var_mean)(tensor)
2022-11-23T01:41:34.4481447Z /var/lib/jenkins/workspace/test/test_vmap.py:606: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4481931Z   result = vmap(vmap(torch.var_mean))(tensor)
2022-11-23T01:41:34.4482610Z /var/lib/jenkins/workspace/test/test_vmap.py:612: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4483108Z   result = vmap(vmap(vmap(torch.var_mean)))(tensor)
2022-11-23T01:41:34.4483328Z ok (0.067s)
2022-11-23T01:41:34.4483584Z   test_fallback_warns_when_warnings_are_enabled (__main__.TestVmapAPI) ... ok (0.001s)
2022-11-23T01:41:34.4483911Z   test_fallback_with_undefined_grad (__main__.TestVmapAPI) ... ok (0.003s)
2022-11-23T01:41:34.4484695Z   test_fallback_zero_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:525: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4485258Z   vmap(op, (0, None))(x, y)
2022-11-23T01:41:34.4485914Z /var/lib/jenkins/workspace/test/test_vmap.py:527: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4486384Z   vmap(op, (None, 0))(y, x)
2022-11-23T01:41:34.4487042Z /var/lib/jenkins/workspace/test/test_vmap.py:529: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4487499Z   vmap(op)(x, x)
2022-11-23T01:41:34.4488183Z /var/lib/jenkins/workspace/test/test_vmap.py:534: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4488646Z   vmap(op, (0, None))(x, y)
2022-11-23T01:41:34.4489303Z /var/lib/jenkins/workspace/test/test_vmap.py:536: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4489790Z   vmap(op, (None, 0))(y, x)
2022-11-23T01:41:34.4490440Z /var/lib/jenkins/workspace/test/test_vmap.py:538: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4490887Z   vmap(op)(x, x)
2022-11-23T01:41:34.4491072Z ok (0.013s)
2022-11-23T01:41:34.4491794Z   test_func_with_no_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:57: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4492301Z   vmap(foo)()
2022-11-23T01:41:34.4492947Z /var/lib/jenkins/workspace/test/test_vmap.py:60: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4493403Z   vmap(bar)()
2022-11-23T01:41:34.4493582Z ok (0.001s)
2022-11-23T01:41:34.4494296Z   test_functools_partial (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:798: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4494832Z   result = vmap(functools.partial(torch.mul, x))(y)
2022-11-23T01:41:34.4495062Z ok (0.001s)
2022-11-23T01:41:34.4495790Z   test_grad_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:773: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4496345Z   vmap(output_to_grad_is_vmapped)(input_tensor)
2022-11-23T01:41:34.4497019Z /var/lib/jenkins/workspace/test/test_vmap.py:781: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4497512Z   vmap(input_to_grad_is_vmapped)(input_tensor)
2022-11-23T01:41:34.4497729Z ok (0.003s)
2022-11-23T01:41:34.4499752Z   test_in_dim_not_in_tensor_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:463: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4500281Z   vmap(foo)(torch.randn([]))
2022-11-23T01:41:34.4500939Z /var/lib/jenkins/workspace/test/test_vmap.py:465: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4501480Z   vmap(foo, in_dims=(0,))(torch.randn([]))
2022-11-23T01:41:34.4502160Z /var/lib/jenkins/workspace/test/test_vmap.py:467: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4502701Z   vmap(foo, in_dims=(-1,))(x)
2022-11-23T01:41:34.4503358Z /var/lib/jenkins/workspace/test/test_vmap.py:469: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4503832Z   vmap(foo, in_dims=(2,))(y)
2022-11-23T01:41:34.4504497Z /var/lib/jenkins/workspace/test/test_vmap.py:471: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4504992Z   vmap(lambda z: z[0] + z[1], in_dims=([3, 0],))([x, y])
2022-11-23T01:41:34.4505667Z /var/lib/jenkins/workspace/test/test_vmap.py:473: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4506157Z   vmap(foo, in_dims=(0,))(torch.randn(2, 3))
2022-11-23T01:41:34.4506837Z /var/lib/jenkins/workspace/test/test_vmap.py:474: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4507329Z   vmap(foo, in_dims=(1,))(torch.randn(2, 3))
2022-11-23T01:41:34.4507543Z ok (0.002s)
2022-11-23T01:41:34.4508280Z   test_in_dims_wrong_type_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:407: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4508803Z   vmap(torch.mul, [0, 0])(x, y)
2022-11-23T01:41:34.4509469Z /var/lib/jenkins/workspace/test/test_vmap.py:409: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4509948Z   vmap(torch.mul, set({0, 0}))(x, y)
2022-11-23T01:41:34.4510718Z /var/lib/jenkins/workspace/test/test_vmap.py:411: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4511230Z   vmap(torch.mul, 'lol')(x, y)
2022-11-23T01:41:34.4511896Z /var/lib/jenkins/workspace/test/test_vmap.py:413: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4512387Z   vmap(lambda z: z[0] + z[1], in_dims=[0, 0])([x, y])
2022-11-23T01:41:34.4513065Z /var/lib/jenkins/workspace/test/test_vmap.py:415: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4513565Z   vmap(torch.mul, (0, 0))(x, y)
2022-11-23T01:41:34.4513770Z ok (0.001s)
2022-11-23T01:41:34.4514568Z   test_inplace_fallback_nary_different_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:707: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4515167Z   vmap(op, in_dims=(0, None))(x, y)
2022-11-23T01:41:34.4515824Z /var/lib/jenkins/workspace/test/test_vmap.py:713: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4516308Z   vmap(vmap(op, in_dims=(0, None)))(x, y)
2022-11-23T01:41:34.4516990Z /var/lib/jenkins/workspace/test/test_vmap.py:721: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4517464Z   vmap(op, in_dims=(None, 0))(x, y)
2022-11-23T01:41:34.4518130Z /var/lib/jenkins/workspace/test/test_vmap.py:726: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4518637Z   vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 0))(x, y)
2022-11-23T01:41:34.4519336Z /var/lib/jenkins/workspace/test/test_vmap.py:731: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4519847Z   vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 1))(x, y)
2022-11-23T01:41:34.4520545Z /var/lib/jenkins/workspace/test/test_vmap.py:736: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4521027Z   vmap(vmap(op, in_dims=(None, 0)))(x, y)
2022-11-23T01:41:34.4521238Z ok (0.012s)
2022-11-23T01:41:34.4521984Z   test_inplace_fallback_nary_same_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:672: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4522499Z   vmap(op, (2, 0))(x, y)
2022-11-23T01:41:34.4523158Z /var/lib/jenkins/workspace/test/test_vmap.py:680: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4523631Z   vmap(vmap(op), (2, 0))(x, y)
2022-11-23T01:41:34.4524309Z /var/lib/jenkins/workspace/test/test_vmap.py:688: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4524785Z   result = vmap(vmap(vmap(op)))(x, y)
2022-11-23T01:41:34.4524988Z ok (0.089s)
2022-11-23T01:41:34.4525811Z   test_inplace_fallback_unary (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:631: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4526337Z   result = vmap(op)(x)
2022-11-23T01:41:34.4527016Z /var/lib/jenkins/workspace/test/test_vmap.py:638: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4527551Z   result = vmap(op, out_dims=(1,))(x)
2022-11-23T01:41:34.4528232Z /var/lib/jenkins/workspace/test/test_vmap.py:645: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4528698Z   result = vmap(vmap(op))(x)
2022-11-23T01:41:34.4529380Z /var/lib/jenkins/workspace/test/test_vmap.py:652: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4529861Z   result = vmap(vmap(vmap(op)))(x)
2022-11-23T01:41:34.4530061Z ok (0.302s)
2022-11-23T01:41:34.4530842Z   test_integer_in_dim_but_not_tensor_input_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:446: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4531376Z   vmap(torch.sum)(x, 0)
2022-11-23T01:41:34.4532047Z /var/lib/jenkins/workspace/test/test_vmap.py:448: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4532519Z   vmap(torch.sum, (0, 0))(x, 0)
2022-11-23T01:41:34.4533178Z /var/lib/jenkins/workspace/test/test_vmap.py:450: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4533673Z   vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, 1])
2022-11-23T01:41:34.4534364Z /var/lib/jenkins/workspace/test/test_vmap.py:452: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4534843Z   vmap(torch.sum, (0, None))(x, 0)
2022-11-23T01:41:34.4535042Z ok (0.002s)
2022-11-23T01:41:34.4535769Z   test_multiple_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:78: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4536305Z   output = vmap(torch.mul)(x, y)
2022-11-23T01:41:34.4536514Z ok (0.001s)
2022-11-23T01:41:34.4537226Z   test_multiple_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:220: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4537749Z   result = vmap(foo, out_dims=(0, 1))(x)
2022-11-23T01:41:34.4538493Z /var/lib/jenkins/workspace/test/test_vmap.py:223: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4539180Z   result = vmap(bar, out_dims=(-1, 0, 1, 2))(x, y)
2022-11-23T01:41:34.4539390Z ok (0.002s)
2022-11-23T01:41:34.4540114Z   test_multiple_outputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:86: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4540638Z   outputs = vmap(foo)(x)
2022-11-23T01:41:34.4540838Z ok (0.001s)
2022-11-23T01:41:34.4541591Z   test_multiple_outputs_error_cases (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:106: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4542133Z   vmap(returns_tuple_of_tensors)(x)
2022-11-23T01:41:34.4542821Z /var/lib/jenkins/workspace/test/test_vmap.py:111: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4543305Z   vmap(returns_list_of_two_tensors)(x)
2022-11-23T01:41:34.4543996Z /var/lib/jenkins/workspace/test/test_vmap.py:113: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4544477Z   vmap(returns_list_of_one_tensor)(x)
2022-11-23T01:41:34.4544713Z ok (0.001s)
2022-11-23T01:41:34.4545494Z   test_nested_non_default_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:337: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4546060Z   result = vmap(vmap(vmap(torch.mul), (1, 0)), (1, 2))(x, y)
2022-11-23T01:41:34.4546278Z ok (0.001s)
2022-11-23T01:41:34.4547014Z   test_nested_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:236: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4547569Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y))(y)
2022-11-23T01:41:34.4548278Z /var/lib/jenkins/workspace/test/test_vmap.py:241: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4548806Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y), out_dims=1)(y)
2022-11-23T01:41:34.4549509Z /var/lib/jenkins/workspace/test/test_vmap.py:246: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4550188Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=-1)(y), out_dims=-1)(y)
2022-11-23T01:41:34.4551051Z /var/lib/jenkins/workspace/test/test_vmap.py:253: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4551678Z   result = vmap(lambda y: vmap(lambda x: x * y, out_dims=1)(x), out_dims=-1)(y)
2022-11-23T01:41:34.4551920Z ok (0.003s)
2022-11-23T01:41:34.4552663Z   test_nested_with_different_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:127: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4553215Z   output = vmap(lambda x: vmap(lambda y: x * y)(y))(x)
2022-11-23T01:41:34.4553916Z /var/lib/jenkins/workspace/test/test_vmap.py:132: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4554457Z   output = vmap(lambda x: vmap(lambda y: vmap(lambda z: x * y * z)(z))(y))(x)
2022-11-23T01:41:34.4554738Z ok (0.002s)
2022-11-23T01:41:34.4555486Z   test_nested_with_same_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:118: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4556073Z   output = vmap(vmap(torch.mul))(x, y)
2022-11-23T01:41:34.4556760Z /var/lib/jenkins/workspace/test/test_vmap.py:121: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4557255Z   output = vmap(vmap(vmap(torch.mul)))(x, y)
2022-11-23T01:41:34.4557472Z ok (0.001s)
2022-11-23T01:41:34.4558168Z   test_nn_module (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:804: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4558678Z   result = vmap(model)(tensor)
2022-11-23T01:41:34.4558881Z ok (0.001s)
2022-11-23T01:41:34.4559617Z   test_non_default_in_dims_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:344: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4560162Z   result = vmap(lambda x: x, in_dims=1, out_dims=1)(x)
2022-11-23T01:41:34.4560852Z /var/lib/jenkins/workspace/test/test_vmap.py:349: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4561358Z   result = vmap(lambda x: x, in_dims=2, out_dims=1)(x)
2022-11-23T01:41:34.4562045Z /var/lib/jenkins/workspace/test/test_vmap.py:358: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4562537Z   result = vmap(foo, in_dims=1, out_dims=1)(x)
2022-11-23T01:41:34.4563244Z /var/lib/jenkins/workspace/test/test_vmap.py:362: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4563760Z   result = vmap(foo, in_dims=2, out_dims=1)(x)
2022-11-23T01:41:34.4564440Z /var/lib/jenkins/workspace/test/test_vmap.py:367: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4564916Z   result = vmap(vmap(foo, 1, 1), 1, 1)(x)
2022-11-23T01:41:34.4565117Z ok (0.003s)
2022-11-23T01:41:34.4565852Z   test_non_tensor_output_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:28: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4566396Z   output = vmap(lambda x: 3.14)(torch.ones(3))
2022-11-23T01:41:34.4567083Z /var/lib/jenkins/workspace/test/test_vmap.py:34: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4567582Z   vmap(multiple_outputs)(torch.ones(3))
2022-11-23T01:41:34.4567791Z ok (0.001s)
2022-11-23T01:41:34.4568515Z   test_non_zero_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:310: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4569045Z   output = vmap(lambda x: x, (1,))(tensor)
2022-11-23T01:41:34.4569722Z /var/lib/jenkins/workspace/test/test_vmap.py:316: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4570198Z   output = vmap(torch.mul, (0, 1))(x, y)
2022-11-23T01:41:34.4570870Z /var/lib/jenkins/workspace/test/test_vmap.py:318: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4571360Z   output = vmap(torch.mul, (1, 0))(x, y)
2022-11-23T01:41:34.4571571Z ok (0.002s)
2022-11-23T01:41:34.4572276Z   test_none_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:326: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4572805Z   output = vmap(torch.mul, (0, None))(x, y)
2022-11-23T01:41:34.4573490Z /var/lib/jenkins/workspace/test/test_vmap.py:331: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4573975Z   output = vmap(torch.mul, (0, None))(x, 2)
2022-11-23T01:41:34.4574179Z ok (0.001s)
2022-11-23T01:41:34.4574925Z   test_nonzero_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:171: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4575464Z   result = vmap(lambda x: x, out_dims=1)(tensor)
2022-11-23T01:41:34.4576159Z /var/lib/jenkins/workspace/test/test_vmap.py:177: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4576684Z   result = vmap(lambda x: x, out_dims=2)(tensor)
2022-11-23T01:41:34.4577373Z /var/lib/jenkins/workspace/test/test_vmap.py:183: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4577918Z   result = vmap(lambda x: x, out_dims=-1)(tensor)
2022-11-23T01:41:34.4578620Z /var/lib/jenkins/workspace/test/test_vmap.py:190: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4579416Z   result = vmap(lambda x, y: (x, y), out_dims=2)(tensor, other)
2022-11-23T01:41:34.4580126Z /var/lib/jenkins/workspace/test/test_vmap.py:198: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4580625Z   result = vmap(lambda x: x, out_dims=2)(tensor)
2022-11-23T01:41:34.4581315Z /var/lib/jenkins/workspace/test/test_vmap.py:206: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4581792Z   result = vmap(foo, out_dims=1)(x, y)
2022-11-23T01:41:34.4582004Z ok (0.005s)
2022-11-23T01:41:34.4582733Z   test_noop_in_inner_vmap (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:139: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4583277Z   output = vmap(lambda x: vmap(lambda y: x)(y))(x)
2022-11-23T01:41:34.4583499Z ok (0.001s)
2022-11-23T01:41:34.4584247Z   test_not_enough_in_dims_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:423: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4584769Z   vmap(torch.mul, (0,))(x, y)
2022-11-23T01:41:34.4585440Z /var/lib/jenkins/workspace/test/test_vmap.py:425: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4585922Z   vmap(torch.mul, (0, 0, 0))(x, y)
2022-11-23T01:41:34.4586591Z /var/lib/jenkins/workspace/test/test_vmap.py:427: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4587074Z   vmap(lambda z: z[0] + z[1], in_dims=([0],))([x, y])
2022-11-23T01:41:34.4587809Z /var/lib/jenkins/workspace/test/test_vmap.py:429: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4588346Z   vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))([x, y])
2022-11-23T01:41:34.4589032Z /var/lib/jenkins/workspace/test/test_vmap.py:431: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4589501Z   vmap(torch.mul, (0, 0))(x, y)
2022-11-23T01:41:34.4589693Z ok (0.001s)
2022-11-23T01:41:34.4590526Z   test_out_dim_out_of_bounds_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:302: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4591055Z   vmap(lambda x: x, out_dims=3)(x)
2022-11-23T01:41:34.4591732Z /var/lib/jenkins/workspace/test/test_vmap.py:304: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4592239Z   vmap(lambda x: x, out_dims=-4)(x)
2022-11-23T01:41:34.4592445Z ok (0.005s)
2022-11-23T01:41:34.4593215Z   test_out_dims_and_num_outputs_mismatch_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:285: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4593756Z   vmap(lambda x: x, out_dims=(0, 0))(x)
2022-11-23T01:41:34.4594422Z /var/lib/jenkins/workspace/test/test_vmap.py:287: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4594964Z   vmap(lambda x: (x, x, x), out_dims=(0, 0, 0, 0))(x)
2022-11-23T01:41:34.4595659Z /var/lib/jenkins/workspace/test/test_vmap.py:291: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4596145Z   vmap(lambda x: (x, x), out_dims=(0,))(x)
2022-11-23T01:41:34.4596828Z /var/lib/jenkins/workspace/test/test_vmap.py:293: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4597311Z   vmap(lambda x: (x, x, x), out_dims=(0, 0))(x)
2022-11-23T01:41:34.4597527Z ok (0.001s)
2022-11-23T01:41:34.4598258Z   test_out_dims_edge_case (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:263: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4598797Z   expected = vmap(foo, out_dims=1)(tensor)
2022-11-23T01:41:34.4599515Z /var/lib/jenkins/workspace/test/test_vmap.py:264: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4600004Z   result = vmap(foo, out_dims=(1,))(tensor)
2022-11-23T01:41:34.4600215Z ok (0.001s)
2022-11-23T01:41:34.4600970Z   test_out_dims_must_be_int_or_tuple_of_int_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:271: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4601591Z   vmap(lambda x: x, out_dims='lol')(tensor)
2022-11-23T01:41:34.4602262Z /var/lib/jenkins/workspace/test/test_vmap.py:273: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4602800Z   vmap(lambda x: x, out_dims=('lol',))(tensor)
2022-11-23T01:41:34.4603484Z /var/lib/jenkins/workspace/test/test_vmap.py:275: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4603975Z   vmap(lambda x: x, out_dims=None)(tensor)
2022-11-23T01:41:34.4604642Z /var/lib/jenkins/workspace/test/test_vmap.py:277: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4605127Z   vmap(lambda x: x, out_dims=(None,))(tensor)
2022-11-23T01:41:34.4605342Z ok (0.001s)
2022-11-23T01:41:34.4606058Z   test_single_input (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:72: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4606563Z   output = vmap(square)(x)
2022-11-23T01:41:34.4606763Z ok (0.001s)
2022-11-23T01:41:34.4607496Z   test_unsupported_op_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:150: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4608016Z   vmap(torch.ravel)(tensor)
2022-11-23T01:41:34.4608675Z /var/lib/jenkins/workspace/test/test_vmap.py:156: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4609150Z   vmap(out_op)(tensor, tensor)
2022-11-23T01:41:34.4609811Z /var/lib/jenkins/workspace/test/test_vmap.py:161: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4610305Z   vmap(lambda t: torch.atleast_1d([t]))(tensor)
2022-11-23T01:41:34.4610989Z /var/lib/jenkins/workspace/test/test_vmap.py:166: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4611458Z   vmap(torch.Tensor.item)(tensor)
2022-11-23T01:41:34.4611704Z ok (0.010s)
2022-11-23T01:41:34.4611967Z   test_add_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.007s)
2022-11-23T01:41:34.4612804Z   test_binary_cross_entropy_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:882: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4613414Z   result = vmap(op, in_dims, out_dims)(*inputs)
2022-11-23T01:41:34.4613630Z ok (0.004s)
2022-11-23T01:41:34.4613899Z   test_diagonal_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4614228Z   test_div_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.010s)
2022-11-23T01:41:34.4614559Z   test_expand_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4615437Z   test_index_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:882: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4616004Z   result = vmap(op, in_dims, out_dims)(*inputs)
2022-11-23T01:41:34.4616214Z ok (0.004s)
2022-11-23T01:41:34.4616489Z   test_inplace_manyview_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4616846Z   test_inplace_on_view_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4617192Z   test_lgamma_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.006s)
2022-11-23T01:41:34.4617519Z   test_log1p_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4617853Z   test_log_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4618197Z   test_logsumexp_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4619140Z   test_max_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:882: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4619709Z   result = vmap(op, in_dims, out_dims)(*inputs)
2022-11-23T01:41:34.4619927Z ok (0.002s)
2022-11-23T01:41:34.4620187Z   test_median_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4620509Z   test_min_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4620840Z   test_mul_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.009s)
2022-11-23T01:41:34.4621177Z   test_permute_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4621511Z   test_reshape_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.001s)
2022-11-23T01:41:34.4621844Z   test_select_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4622180Z   test_sigmoid_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4622514Z   test_slice_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.003s)
2022-11-23T01:41:34.4622843Z   test_stack_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4623175Z   test_sub_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.006s)
2022-11-23T01:41:34.4623670Z   test_symeig_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:2421: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:41:34.4624222Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:41:34.4624609Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:41:34.4624838Z should be replaced with
2022-11-23T01:41:34.4625144Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:41:34.4625369Z and
2022-11-23T01:41:34.4625575Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:41:34.4625841Z should be replaced with
2022-11-23T01:41:34.4626314Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:41:34.4626698Z   return torch.symeig(x, eigenvectors=True)[0]
2022-11-23T01:41:34.4627409Z /var/lib/jenkins/workspace/test/test_vmap.py:882: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4627913Z   result = vmap(op, in_dims, out_dims)(*inputs)
2022-11-23T01:41:34.4628126Z ok (0.921s)
2022-11-23T01:41:34.4628391Z   test_threshold_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4628733Z   test_trace_cuda (__main__.TestVmapBatchedGradientCUDA) ... ok (0.002s)
2022-11-23T01:41:34.4629593Z   test_unrelated_output_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:2481: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4630203Z   result = vmap(vjp)(gy)
2022-11-23T01:41:34.4630415Z ok (0.001s)
2022-11-23T01:41:34.4631223Z   test_unrelated_output_multiple_grad_cuda (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:2496: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4631784Z   result = vmap(vjp)(gy)
2022-11-23T01:41:34.4631971Z ok (0.001s)
2022-11-23T01:41:34.4632242Z   test_vmap_fallback_check (__main__.TestVmapBatchedGradientCUDA) ... ok (0.001s)
2022-11-23T01:41:34.4633114Z   test_vmap_fallback_check_ok (__main__.TestVmapBatchedGradientCUDA) ... /var/lib/jenkins/workspace/test/test_vmap.py:964: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4633684Z   vmap(op_using_fallback)(torch.rand(3))
2022-11-23T01:41:34.4633888Z ok (0.001s)
2022-11-23T01:41:34.4634126Z   test_T_numpy (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:41:34.4634420Z   test_as_strided (__main__.TestVmapOperators) ... ok (0.023s)
2022-11-23T01:41:34.4634715Z   test_binary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.112s)
2022-11-23T01:41:34.4635013Z   test_bmm (__main__.TestVmapOperators) ... ok (0.012s)
2022-11-23T01:41:34.4635291Z   test_cat (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4635571Z   test_chunk (__main__.TestVmapOperators) ... ok (0.017s)
2022-11-23T01:41:34.4635845Z   test_clamp (__main__.TestVmapOperators) ... ok (0.014s)
2022-11-23T01:41:34.4636118Z   test_clone (__main__.TestVmapOperators) ... ok (0.013s)
2022-11-23T01:41:34.4636416Z   test_comparison_ops (__main__.TestVmapOperators) ... ok (0.058s)
2022-11-23T01:41:34.4636702Z   test_conj (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:41:34.4636988Z   test_contiguous (__main__.TestVmapOperators) ... ok (0.006s)
2022-11-23T01:41:34.4637283Z   test_diagonal (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4637556Z   test_dot (__main__.TestVmapOperators) ... ok (0.011s)
2022-11-23T01:41:34.4637886Z   test_expand_as (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:41:34.4638196Z   test_fill_and_zero_inplace (__main__.TestVmapOperators) ... ok (0.014s)
2022-11-23T01:41:34.4638492Z   test_imag (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:41:34.4638773Z   test_is_complex (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:41:34.4639096Z   test_is_contiguous (__main__.TestVmapOperators) ... ok (0.006s)
2022-11-23T01:41:34.4639397Z   test_is_floating_point (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:41:34.4639678Z   test_mm (__main__.TestVmapOperators) ... ok (0.012s)
2022-11-23T01:41:34.4639961Z   test_movedim (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:41:34.4640241Z   test_mv (__main__.TestVmapOperators) ... ok (0.011s)
2022-11-23T01:41:34.4640511Z   test_narrow (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4640797Z   test_new_empty (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:41:34.4641097Z   test_new_empty_strided (__main__.TestVmapOperators) ... ok (0.009s)
2022-11-23T01:41:34.4641393Z   test_new_zeros (__main__.TestVmapOperators) ... ok (0.002s)
2022-11-23T01:41:34.4641685Z   test_no_random_op_support (__main__.TestVmapOperators) ... ok (0.089s)
2022-11-23T01:41:34.4641982Z   test_real (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:41:34.4642266Z   test_reshape (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4642545Z   test_reshape_as (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:41:34.4642835Z   test_result_type (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:41:34.4643122Z   test_select (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4643394Z   test_slice (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4643668Z   test_split (__main__.TestVmapOperators) ... ok (0.033s)
2022-11-23T01:41:34.4643949Z   test_squeeze (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4644221Z   test_stack (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4644504Z   test_stride (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:41:34.4644784Z   test_sum_dim (__main__.TestVmapOperators) ... ok (0.006s)
2022-11-23T01:41:34.4645053Z   test_t (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4645327Z   test_tensor_split (__main__.TestVmapOperators) ... ok (0.089s)
2022-11-23T01:41:34.4645615Z   test_to (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4645888Z   test_trace (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4646162Z   test_transpose (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:41:34.4646464Z   test_unary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.080s)
2022-11-23T01:41:34.4646765Z   test_unbind (__main__.TestVmapOperators) ... ok (0.124s)
2022-11-23T01:41:34.4647033Z   test_unfold (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:41:34.4647310Z   test_view (__main__.TestVmapOperators) ... ok (0.010s)
2022-11-23T01:41:34.4647593Z   test_view_as (__main__.TestVmapOperators) ... ok (0.012s)
2022-11-23T01:41:34.4647883Z   test_view_as_complex (__main__.TestVmapOperators) ... ok (0.060s)
2022-11-23T01:41:34.4648175Z   test_view_as_real (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:41:34.4648479Z   test_vmap_fallback_check (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:41:34.4649305Z   test_vmap_fallback_check_ok (__main__.TestVmapOperators) ... /var/lib/jenkins/workspace/test/test_vmap.py:964: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:41:34.4649853Z   vmap(op_using_fallback)(torch.rand(3))
2022-11-23T01:41:34.4650058Z ok (0.001s)
2022-11-23T01:41:34.4650168Z 
2022-11-23T01:41:34.4650375Z ----------------------------------------------------------------------
2022-11-23T01:41:34.4650630Z Ran 125 tests in 2.647s
2022-11-23T01:41:34.4650797Z 
2022-11-23T01:41:34.4650859Z OK
2022-11-23T01:41:34.4650957Z 
2022-11-23T01:41:34.4651049Z Generating XML reports...
2022-11-23T01:41:34.4651456Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapAPI-20221123014131.xml
2022-11-23T01:41:34.4652028Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapBatchedGradientCUDA-20221123014131.xml
2022-11-23T01:41:34.4652559Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapOperators-20221123014131.xml
2022-11-23T01:41:34.4652790Z 
2022-11-23T01:41:34.4653111Z ##[endgroup]
2022-11-23T01:41:34.4653496Z FINISHED PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_atau8vi2)
2022-11-23T01:41:34.4653700Z 
2022-11-23T01:41:36.3911353Z Ignoring disabled issues:  []
2022-11-23T01:45:55.6620714Z 
2022-11-23T01:45:55.6621445Z Expand the folded group to see the log file of test_meta
2022-11-23T01:45:55.6622143Z ##[group]PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_1hqkn2u8)
2022-11-23T01:45:55.6658068Z 
2022-11-23T01:45:55.6660902Z Running tests...
2022-11-23T01:45:55.6662205Z ----------------------------------------------------------------------
2022-11-23T01:45:55.6663021Z Test results will be stored in test-reports/python-unittest/test_meta
2022-11-23T01:45:55.6663811Z   test_dispatch_meta_inplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6666872Z   test_dispatch_meta_inplace_H_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6667465Z   test_dispatch_meta_inplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6667985Z   test_dispatch_meta_inplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6668553Z   test_dispatch_meta_inplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6668967Z   test_dispatch_meta_inplace_H_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6669445Z   test_dispatch_meta_inplace_H_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6669923Z   test_dispatch_meta_inplace_H_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6670516Z   test_dispatch_meta_inplace_H_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6670945Z   test_dispatch_meta_inplace_H_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6671373Z   test_dispatch_meta_inplace_H_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6672040Z   test_dispatch_meta_inplace_H_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6672551Z   test_dispatch_meta_inplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6672965Z   test_dispatch_meta_inplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6673394Z   test_dispatch_meta_inplace_T_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6673797Z   test_dispatch_meta_inplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6674200Z   test_dispatch_meta_inplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6675087Z   test_dispatch_meta_inplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6675854Z   test_dispatch_meta_inplace_T_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6676254Z   test_dispatch_meta_inplace_T_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6676688Z   test_dispatch_meta_inplace_T_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6677311Z   test_dispatch_meta_inplace_T_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6677810Z   test_dispatch_meta_inplace_T_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6678255Z   test_dispatch_meta_inplace_T_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6678645Z   test_dispatch_meta_inplace_T_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6679033Z   test_dispatch_meta_inplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6679426Z   test_dispatch_meta_inplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6679841Z   test_dispatch_meta_inplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6680260Z   test_dispatch_meta_inplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6680692Z   test_dispatch_meta_inplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6681112Z   test_dispatch_meta_inplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6681517Z   test_dispatch_meta_inplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6681926Z   test_dispatch_meta_inplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6682334Z   test_dispatch_meta_inplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6682745Z   test_dispatch_meta_inplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6683214Z   test_dispatch_meta_inplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6683754Z   test_dispatch_meta_inplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6684299Z   test_dispatch_meta_inplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6684794Z   test_dispatch_meta_inplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6685187Z   test_dispatch_meta_inplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6685589Z   test_dispatch_meta_inplace___radd___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6685998Z   test_dispatch_meta_inplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6686405Z   test_dispatch_meta_inplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6686839Z   test_dispatch_meta_inplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6687372Z   test_dispatch_meta_inplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6687860Z   test_dispatch_meta_inplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6688262Z   test_dispatch_meta_inplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6688776Z   test_dispatch_meta_inplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6689327Z   test_dispatch_meta_inplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6689786Z   test_dispatch_meta_inplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6690260Z   test_dispatch_meta_inplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6690715Z   test_dispatch_meta_inplace___rand___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6691244Z   test_dispatch_meta_inplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6691770Z   test_dispatch_meta_inplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6692170Z   test_dispatch_meta_inplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6692552Z   test_dispatch_meta_inplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6693098Z   test_dispatch_meta_inplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6693645Z   test_dispatch_meta_inplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6694190Z   test_dispatch_meta_inplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6694722Z   test_dispatch_meta_inplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6695152Z   test_dispatch_meta_inplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6695621Z   test_dispatch_meta_inplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6696086Z   test_dispatch_meta_inplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6696605Z   test_dispatch_meta_inplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6697192Z   test_dispatch_meta_inplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6697705Z   test_dispatch_meta_inplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6698224Z   test_dispatch_meta_inplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6698733Z   test_dispatch_meta_inplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6699467Z   test_dispatch_meta_inplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6699989Z   test_dispatch_meta_inplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6700516Z   test_dispatch_meta_inplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6701155Z   test_dispatch_meta_inplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6701704Z   test_dispatch_meta_inplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6702234Z   test_dispatch_meta_inplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6702790Z   test_dispatch_meta_inplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6703330Z   test_dispatch_meta_inplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6703869Z   test_dispatch_meta_inplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6704405Z   test_dispatch_meta_inplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6704873Z   test_dispatch_meta_inplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6705371Z   test_dispatch_meta_inplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6705885Z   test_dispatch_meta_inplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6706278Z   test_dispatch_meta_inplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6706786Z   test_dispatch_meta_inplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6707234Z   test_dispatch_meta_inplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6707792Z   test_dispatch_meta_inplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6708324Z   test_dispatch_meta_inplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6708726Z   test_dispatch_meta_inplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6709270Z   test_dispatch_meta_inplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6709767Z   test_dispatch_meta_inplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6710365Z   test_dispatch_meta_inplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6710900Z   test_dispatch_meta_inplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6711445Z   test_dispatch_meta_inplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6711977Z   test_dispatch_meta_inplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6712497Z   test_dispatch_meta_inplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6712944Z   test_dispatch_meta_inplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6713507Z   test_dispatch_meta_inplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6714066Z   test_dispatch_meta_inplace___ror___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6714601Z   test_dispatch_meta_inplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6715199Z   test_dispatch_meta_inplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6715727Z   test_dispatch_meta_inplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6716258Z   test_dispatch_meta_inplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6716645Z   test_dispatch_meta_inplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6717033Z   test_dispatch_meta_inplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6717439Z   test_dispatch_meta_inplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6717851Z   test_dispatch_meta_inplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6718249Z   test_dispatch_meta_inplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6718656Z   test_dispatch_meta_inplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6719158Z   test_dispatch_meta_inplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6719684Z   test_dispatch_meta_inplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6720166Z   test_dispatch_meta_inplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6720641Z   test_dispatch_meta_inplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6721174Z   test_dispatch_meta_inplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6721700Z   test_dispatch_meta_inplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6722228Z   test_dispatch_meta_inplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6722760Z   test_dispatch_meta_inplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6723294Z   test_dispatch_meta_inplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6723820Z   test_dispatch_meta_inplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6724346Z   test_dispatch_meta_inplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6724874Z   test_dispatch_meta_inplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6725391Z   test_dispatch_meta_inplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6725910Z   test_dispatch_meta_inplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6726423Z   test_dispatch_meta_inplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6726926Z   test_dispatch_meta_inplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6727445Z   test_dispatch_meta_inplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6728029Z   test_dispatch_meta_inplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6728552Z   test_dispatch_meta_inplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6729070Z   test_dispatch_meta_inplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6729622Z   test_dispatch_meta_inplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6730134Z   test_dispatch_meta_inplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6730645Z   test_dispatch_meta_inplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6731173Z   test_dispatch_meta_inplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6731763Z   test_dispatch_meta_inplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6732331Z   test_dispatch_meta_inplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6732907Z   test_dispatch_meta_inplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6733392Z   test_dispatch_meta_inplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6733825Z   test_dispatch_meta_inplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6734318Z   test_dispatch_meta_inplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.6734854Z   test_dispatch_meta_inplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.6735384Z   test_dispatch_meta_inplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.6735863Z   test_dispatch_meta_inplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6736297Z   test_dispatch_meta_inplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6736731Z   test_dispatch_meta_inplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6737155Z   test_dispatch_meta_inplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6737585Z   test_dispatch_meta_inplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6738008Z   test_dispatch_meta_inplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6738426Z   test_dispatch_meta_inplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6739044Z   test_dispatch_meta_inplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6739496Z   test_dispatch_meta_inplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6739974Z   test_dispatch_meta_inplace_acos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6740454Z   test_dispatch_meta_inplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6740910Z   test_dispatch_meta_inplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6741354Z   test_dispatch_meta_inplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6741795Z   test_dispatch_meta_inplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6742220Z   test_dispatch_meta_inplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6742648Z   test_dispatch_meta_inplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6743209Z   test_dispatch_meta_inplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6743759Z   test_dispatch_meta_inplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6744259Z   test_dispatch_meta_inplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6744844Z   test_dispatch_meta_inplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6745349Z   test_dispatch_meta_inplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6745818Z   test_dispatch_meta_inplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6746293Z   test_dispatch_meta_inplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6746771Z   test_dispatch_meta_inplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6747227Z   test_dispatch_meta_inplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6747664Z   test_dispatch_meta_inplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6748119Z   test_dispatch_meta_inplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6748554Z   test_dispatch_meta_inplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6748990Z   test_dispatch_meta_inplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6749451Z   test_dispatch_meta_inplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6749947Z   test_dispatch_meta_inplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6750605Z   test_dispatch_meta_inplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6751116Z   test_dispatch_meta_inplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6751620Z   test_dispatch_meta_inplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6752087Z   test_dispatch_meta_inplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.6752531Z   test_dispatch_meta_inplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6752965Z   test_dispatch_meta_inplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.6753401Z   test_dispatch_meta_inplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.6753848Z   test_dispatch_meta_inplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.6754286Z   test_dispatch_meta_inplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6754712Z   test_dispatch_meta_inplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6755140Z   test_dispatch_meta_inplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6755570Z   test_dispatch_meta_inplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6756006Z   test_dispatch_meta_inplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6756425Z   test_dispatch_meta_inplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6756853Z   test_dispatch_meta_inplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6757287Z   test_dispatch_meta_inplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6757726Z   test_dispatch_meta_inplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.638s)
2022-11-23T01:45:55.6758165Z   test_dispatch_meta_inplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6758673Z   test_dispatch_meta_inplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6759126Z   test_dispatch_meta_inplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6759558Z   test_dispatch_meta_inplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6760029Z   test_dispatch_meta_inplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6760473Z   test_dispatch_meta_inplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.6760937Z   test_dispatch_meta_inplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.300s)
2022-11-23T01:45:55.6761390Z   test_dispatch_meta_inplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.123s)
2022-11-23T01:45:55.6761852Z   test_dispatch_meta_inplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.6762301Z   test_dispatch_meta_inplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6762754Z   test_dispatch_meta_inplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6763189Z   test_dispatch_meta_inplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.6763646Z   test_dispatch_meta_inplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.022s)
2022-11-23T01:45:55.6765543Z   test_dispatch_meta_inplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.866s)
2022-11-23T01:45:55.6766004Z   test_dispatch_meta_inplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.6766455Z   test_dispatch_meta_inplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6766903Z   test_dispatch_meta_inplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6767341Z   test_dispatch_meta_inplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.6767786Z   test_dispatch_meta_inplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6768222Z   test_dispatch_meta_inplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6768651Z   test_dispatch_meta_inplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6769096Z   test_dispatch_meta_inplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.6769532Z   test_dispatch_meta_inplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6769988Z   test_dispatch_meta_inplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6770436Z   test_dispatch_meta_inplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6770882Z   test_dispatch_meta_inplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6771326Z   test_dispatch_meta_inplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6771773Z   test_dispatch_meta_inplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6772225Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6772723Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6773277Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6773759Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6774245Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6774721Z   test_dispatch_meta_inplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6775184Z   test_dispatch_meta_inplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6775673Z   test_dispatch_meta_inplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6776127Z   test_dispatch_meta_inplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6776576Z   test_dispatch_meta_inplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6777087Z   test_dispatch_meta_inplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6777535Z   test_dispatch_meta_inplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6777969Z   test_dispatch_meta_inplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6778421Z   test_dispatch_meta_inplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6779025Z   test_dispatch_meta_inplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6779514Z   test_dispatch_meta_inplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6779985Z   test_dispatch_meta_inplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6780448Z   test_dispatch_meta_inplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6780897Z   test_dispatch_meta_inplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6781354Z   test_dispatch_meta_inplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6781809Z   test_dispatch_meta_inplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6782247Z   test_dispatch_meta_inplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6782680Z   test_dispatch_meta_inplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6783110Z   test_dispatch_meta_inplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6783637Z   test_dispatch_meta_inplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6784151Z   test_dispatch_meta_inplace_all_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6784720Z   test_dispatch_meta_inplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6785270Z   test_dispatch_meta_inplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6785808Z   test_dispatch_meta_inplace_all_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6786358Z   test_dispatch_meta_inplace_all_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6786883Z   test_dispatch_meta_inplace_all_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6787414Z   test_dispatch_meta_inplace_all_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6787950Z   test_dispatch_meta_inplace_all_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6788462Z   test_dispatch_meta_inplace_all_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6788999Z   test_dispatch_meta_inplace_all_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6789533Z   test_dispatch_meta_inplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6790077Z   test_dispatch_meta_inplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6790719Z   test_dispatch_meta_inplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6791382Z   test_dispatch_meta_inplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6791951Z   test_dispatch_meta_inplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6792503Z   test_dispatch_meta_inplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6793142Z   test_dispatch_meta_inplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6793680Z   test_dispatch_meta_inplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6794219Z   test_dispatch_meta_inplace_amax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6794772Z   test_dispatch_meta_inplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6795304Z   test_dispatch_meta_inplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6795850Z   test_dispatch_meta_inplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6796395Z   test_dispatch_meta_inplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6796946Z   test_dispatch_meta_inplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6797462Z   test_dispatch_meta_inplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6797979Z   test_dispatch_meta_inplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6798503Z   test_dispatch_meta_inplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6799031Z   test_dispatch_meta_inplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6799576Z   test_dispatch_meta_inplace_amin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6800111Z   test_dispatch_meta_inplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6800659Z   test_dispatch_meta_inplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6801182Z   test_dispatch_meta_inplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6801715Z   test_dispatch_meta_inplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6802235Z   test_dispatch_meta_inplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6802760Z   test_dispatch_meta_inplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6803295Z   test_dispatch_meta_inplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6803828Z   test_dispatch_meta_inplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6804368Z   test_dispatch_meta_inplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6804904Z   test_dispatch_meta_inplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6805467Z   test_dispatch_meta_inplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6806077Z   test_dispatch_meta_inplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6806610Z   test_dispatch_meta_inplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6807154Z   test_dispatch_meta_inplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6807741Z   test_dispatch_meta_inplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6808268Z   test_dispatch_meta_inplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6808799Z   test_dispatch_meta_inplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6809343Z   test_dispatch_meta_inplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6809866Z   test_dispatch_meta_inplace_angle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6810419Z   test_dispatch_meta_inplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6810974Z   test_dispatch_meta_inplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6811527Z   test_dispatch_meta_inplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6812097Z   test_dispatch_meta_inplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6812631Z   test_dispatch_meta_inplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6813225Z   test_dispatch_meta_inplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6813805Z   test_dispatch_meta_inplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6814339Z   test_dispatch_meta_inplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6814893Z   test_dispatch_meta_inplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6815428Z   test_dispatch_meta_inplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6815973Z   test_dispatch_meta_inplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6816520Z   test_dispatch_meta_inplace_any_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6817069Z   test_dispatch_meta_inplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6817611Z   test_dispatch_meta_inplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6818154Z   test_dispatch_meta_inplace_any_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6818724Z   test_dispatch_meta_inplace_any_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6819423Z   test_dispatch_meta_inplace_any_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6819950Z   test_dispatch_meta_inplace_any_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6820500Z   test_dispatch_meta_inplace_any_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6821125Z   test_dispatch_meta_inplace_any_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6821659Z   test_dispatch_meta_inplace_any_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6822174Z   test_dispatch_meta_inplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6822813Z   test_dispatch_meta_inplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6823345Z   test_dispatch_meta_inplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6823909Z   test_dispatch_meta_inplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6824451Z   test_dispatch_meta_inplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6824993Z   test_dispatch_meta_inplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6825550Z   test_dispatch_meta_inplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6826075Z   test_dispatch_meta_inplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6826634Z   test_dispatch_meta_inplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6827164Z   test_dispatch_meta_inplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6827718Z   test_dispatch_meta_inplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6828238Z   test_dispatch_meta_inplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6828784Z   test_dispatch_meta_inplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6829337Z   test_dispatch_meta_inplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6829886Z   test_dispatch_meta_inplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6830556Z   test_dispatch_meta_inplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6831064Z   test_dispatch_meta_inplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6831593Z   test_dispatch_meta_inplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6832134Z   test_dispatch_meta_inplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6832696Z   test_dispatch_meta_inplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6833217Z   test_dispatch_meta_inplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6833766Z   test_dispatch_meta_inplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6834327Z   test_dispatch_meta_inplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6834860Z   test_dispatch_meta_inplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6835387Z   test_dispatch_meta_inplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6836007Z   test_dispatch_meta_inplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6836542Z   test_dispatch_meta_inplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6837103Z   test_dispatch_meta_inplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6837700Z   test_dispatch_meta_inplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6838257Z   test_dispatch_meta_inplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6838831Z   test_dispatch_meta_inplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6839383Z   test_dispatch_meta_inplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6839934Z   test_dispatch_meta_inplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6840476Z   test_dispatch_meta_inplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6841032Z   test_dispatch_meta_inplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6841570Z   test_dispatch_meta_inplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6842137Z   test_dispatch_meta_inplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6842673Z   test_dispatch_meta_inplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6843285Z   test_dispatch_meta_inplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6843845Z   test_dispatch_meta_inplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6844419Z   test_dispatch_meta_inplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6844975Z   test_dispatch_meta_inplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6845522Z   test_dispatch_meta_inplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6846087Z   test_dispatch_meta_inplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6846633Z   test_dispatch_meta_inplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6847201Z   test_dispatch_meta_inplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6847741Z   test_dispatch_meta_inplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6848292Z   test_dispatch_meta_inplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6848860Z   test_dispatch_meta_inplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6849364Z   test_dispatch_meta_inplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6849848Z   test_dispatch_meta_inplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6850321Z   test_dispatch_meta_inplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6850821Z   test_dispatch_meta_inplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6851349Z   test_dispatch_meta_inplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6851841Z   test_dispatch_meta_inplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6852317Z   test_dispatch_meta_inplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6852860Z   test_dispatch_meta_inplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6853336Z   test_dispatch_meta_inplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6853786Z   test_dispatch_meta_inplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6854268Z   test_dispatch_meta_inplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6854729Z   test_dispatch_meta_inplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6855195Z   test_dispatch_meta_inplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6855736Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6856322Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6856924Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6857521Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6858106Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6858716Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6859441Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6860034Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6860616Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6861173Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6861755Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6862301Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6862877Z   test_dispatch_meta_inplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6863389Z   test_dispatch_meta_inplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6863893Z   test_dispatch_meta_inplace_asin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6864407Z   test_dispatch_meta_inplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6864864Z   test_dispatch_meta_inplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6865325Z   test_dispatch_meta_inplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6865787Z   test_dispatch_meta_inplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6866235Z   test_dispatch_meta_inplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6866784Z   test_dispatch_meta_inplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6867279Z   test_dispatch_meta_inplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6867793Z   test_dispatch_meta_inplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6868396Z   test_dispatch_meta_inplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6868918Z   test_dispatch_meta_inplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6869437Z   test_dispatch_meta_inplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6869912Z   test_dispatch_meta_inplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6870522Z   test_dispatch_meta_inplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6871027Z   test_dispatch_meta_inplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6871492Z   test_dispatch_meta_inplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6871947Z   test_dispatch_meta_inplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6872390Z   test_dispatch_meta_inplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6872861Z   test_dispatch_meta_inplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6873293Z   test_dispatch_meta_inplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6873800Z   test_dispatch_meta_inplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6874339Z   test_dispatch_meta_inplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6874874Z   test_dispatch_meta_inplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6875376Z   test_dispatch_meta_inplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6875910Z   test_dispatch_meta_inplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6876404Z   test_dispatch_meta_inplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6876912Z   test_dispatch_meta_inplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6877382Z   test_dispatch_meta_inplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6877846Z   test_dispatch_meta_inplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6878323Z   test_dispatch_meta_inplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6878807Z   test_dispatch_meta_inplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6879318Z   test_dispatch_meta_inplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6879834Z   test_dispatch_meta_inplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6880362Z   test_dispatch_meta_inplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6880892Z   test_dispatch_meta_inplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6881367Z   test_dispatch_meta_inplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6881868Z   test_dispatch_meta_inplace_atan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6882441Z   test_dispatch_meta_inplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6882927Z   test_dispatch_meta_inplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6883393Z   test_dispatch_meta_inplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6883916Z   test_dispatch_meta_inplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6884380Z   test_dispatch_meta_inplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6884821Z   test_dispatch_meta_inplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6885331Z   test_dispatch_meta_inplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6885861Z   test_dispatch_meta_inplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6886389Z   test_dispatch_meta_inplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6886918Z   test_dispatch_meta_inplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6887456Z   test_dispatch_meta_inplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6887945Z   test_dispatch_meta_inplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6888447Z   test_dispatch_meta_inplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6888935Z   test_dispatch_meta_inplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6889413Z   test_dispatch_meta_inplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6889884Z   test_dispatch_meta_inplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6890344Z   test_dispatch_meta_inplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6890801Z   test_dispatch_meta_inplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6891249Z   test_dispatch_meta_inplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.6891763Z   test_dispatch_meta_inplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.6892298Z   test_dispatch_meta_inplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6892828Z   test_dispatch_meta_inplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6893359Z   test_dispatch_meta_inplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6893895Z   test_dispatch_meta_inplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.6894443Z   test_dispatch_meta_inplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6895011Z   test_dispatch_meta_inplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6895598Z   test_dispatch_meta_inplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6896169Z   test_dispatch_meta_inplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6896740Z   test_dispatch_meta_inplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6897301Z   test_dispatch_meta_inplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6897933Z   test_dispatch_meta_inplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6898492Z   test_dispatch_meta_inplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6899248Z   test_dispatch_meta_inplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6899898Z   test_dispatch_meta_inplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6900449Z   test_dispatch_meta_inplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6901013Z   test_dispatch_meta_inplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6901589Z   test_dispatch_meta_inplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6902146Z   test_dispatch_meta_inplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6902714Z   test_dispatch_meta_inplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6903293Z   test_dispatch_meta_inplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6903861Z   test_dispatch_meta_inplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6904429Z   test_dispatch_meta_inplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6904985Z   test_dispatch_meta_inplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6905546Z   test_dispatch_meta_inplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6906097Z   test_dispatch_meta_inplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6906641Z   test_dispatch_meta_inplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6907206Z   test_dispatch_meta_inplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6907755Z   test_dispatch_meta_inplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6908312Z   test_dispatch_meta_inplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6908842Z   test_dispatch_meta_inplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6909383Z   test_dispatch_meta_inplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6909920Z   test_dispatch_meta_inplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6910569Z   test_dispatch_meta_inplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6911116Z   test_dispatch_meta_inplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6911679Z   test_dispatch_meta_inplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6912264Z   test_dispatch_meta_inplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6912890Z   test_dispatch_meta_inplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6913425Z   test_dispatch_meta_inplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6913973Z   test_dispatch_meta_inplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6914597Z   test_dispatch_meta_inplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6915121Z   test_dispatch_meta_inplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6915653Z   test_dispatch_meta_inplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6916208Z   test_dispatch_meta_inplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6916733Z   test_dispatch_meta_inplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6917178Z   test_dispatch_meta_inplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6917625Z   test_dispatch_meta_inplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.6918098Z   test_dispatch_meta_inplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6918538Z   test_dispatch_meta_inplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6918961Z   test_dispatch_meta_inplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.6919470Z   test_dispatch_meta_inplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6920010Z   test_dispatch_meta_inplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6920562Z   test_dispatch_meta_inplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6921091Z   test_dispatch_meta_inplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6921636Z   test_dispatch_meta_inplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6922165Z   test_dispatch_meta_inplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6922679Z   test_dispatch_meta_inplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6923200Z   test_dispatch_meta_inplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6923740Z   test_dispatch_meta_inplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6924268Z   test_dispatch_meta_inplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6924789Z   test_dispatch_meta_inplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6925314Z   test_dispatch_meta_inplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6925836Z   test_dispatch_meta_inplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6926361Z   test_dispatch_meta_inplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6926882Z   test_dispatch_meta_inplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6927489Z   test_dispatch_meta_inplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6928028Z   test_dispatch_meta_inplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6928539Z   test_dispatch_meta_inplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6929120Z   test_dispatch_meta_inplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6929648Z   test_dispatch_meta_inplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6930184Z   test_dispatch_meta_inplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6930726Z   test_dispatch_meta_inplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6931232Z   test_dispatch_meta_inplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6931677Z   test_dispatch_meta_inplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6932130Z   test_dispatch_meta_inplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6932590Z   test_dispatch_meta_inplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6933082Z   test_dispatch_meta_inplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6933530Z   test_dispatch_meta_inplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6933998Z   test_dispatch_meta_inplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6934461Z   test_dispatch_meta_inplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6934948Z   test_dispatch_meta_inplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6935426Z   test_dispatch_meta_inplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6935907Z   test_dispatch_meta_inplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6936386Z   test_dispatch_meta_inplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6936826Z   test_dispatch_meta_inplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6937284Z   test_dispatch_meta_inplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6937729Z   test_dispatch_meta_inplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6938172Z   test_dispatch_meta_inplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6938629Z   test_dispatch_meta_inplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.6939245Z   test_dispatch_meta_inplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6939693Z   test_dispatch_meta_inplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6940154Z   test_dispatch_meta_inplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6940602Z   test_dispatch_meta_inplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6941342Z   test_dispatch_meta_inplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6941801Z   test_dispatch_meta_inplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6942253Z   test_dispatch_meta_inplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6942739Z   test_dispatch_meta_inplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6943347Z   test_dispatch_meta_inplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6943834Z   test_dispatch_meta_inplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6944319Z   test_dispatch_meta_inplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6944829Z   test_dispatch_meta_inplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6945291Z   test_dispatch_meta_inplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6945722Z   test_dispatch_meta_inplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6946172Z   test_dispatch_meta_inplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6946622Z   test_dispatch_meta_inplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6947083Z   test_dispatch_meta_inplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.6947583Z   test_dispatch_meta_inplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6948136Z   test_dispatch_meta_inplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6948699Z   test_dispatch_meta_inplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6949260Z   test_dispatch_meta_inplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6949801Z   test_dispatch_meta_inplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6950440Z   test_dispatch_meta_inplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6950989Z   test_dispatch_meta_inplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6951523Z   test_dispatch_meta_inplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6952057Z   test_dispatch_meta_inplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6952588Z   test_dispatch_meta_inplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6953135Z   test_dispatch_meta_inplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6953671Z   test_dispatch_meta_inplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6954204Z   test_dispatch_meta_inplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6954738Z   test_dispatch_meta_inplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6955280Z   test_dispatch_meta_inplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6955832Z   test_dispatch_meta_inplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6956359Z   test_dispatch_meta_inplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6956893Z   test_dispatch_meta_inplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6957420Z   test_dispatch_meta_inplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6958001Z   test_dispatch_meta_inplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6958526Z   test_dispatch_meta_inplace_bool_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6959060Z   test_dispatch_meta_inplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6959656Z   test_dispatch_meta_inplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6960200Z   test_dispatch_meta_inplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6960722Z   test_dispatch_meta_inplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6961249Z   test_dispatch_meta_inplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6961789Z   test_dispatch_meta_inplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6962315Z   test_dispatch_meta_inplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6962841Z   test_dispatch_meta_inplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6963359Z   test_dispatch_meta_inplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6963931Z   test_dispatch_meta_inplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6964453Z   test_dispatch_meta_inplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6964992Z   test_dispatch_meta_inplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.6965568Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7088440Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7089288Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7089909Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7090503Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7101032Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7101764Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7102340Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7102913Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7103465Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7104019Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7104566Z   test_dispatch_meta_inplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7105478Z   test_dispatch_meta_inplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7106037Z   test_dispatch_meta_inplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7106594Z   test_dispatch_meta_inplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7107219Z   test_dispatch_meta_inplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7107782Z   test_dispatch_meta_inplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7108331Z   test_dispatch_meta_inplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7108876Z   test_dispatch_meta_inplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7109424Z   test_dispatch_meta_inplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7110017Z   test_dispatch_meta_inplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7110701Z   test_dispatch_meta_inplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7111298Z   test_dispatch_meta_inplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7132512Z   test_dispatch_meta_inplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7132970Z   test_dispatch_meta_inplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7133429Z   test_dispatch_meta_inplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7133882Z   test_dispatch_meta_inplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7134337Z   test_dispatch_meta_inplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7134862Z   test_dispatch_meta_inplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7135404Z   test_dispatch_meta_inplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7135804Z   test_dispatch_meta_inplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7136195Z   test_dispatch_meta_inplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7136671Z   test_dispatch_meta_inplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7137225Z   test_dispatch_meta_inplace_byte_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7173456Z   test_dispatch_meta_inplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7174125Z   test_dispatch_meta_inplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7174522Z   test_dispatch_meta_inplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7174915Z   test_dispatch_meta_inplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7175594Z   test_dispatch_meta_inplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7176001Z   test_dispatch_meta_inplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7176386Z   test_dispatch_meta_inplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7176829Z   test_dispatch_meta_inplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7177226Z   test_dispatch_meta_inplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7177615Z   test_dispatch_meta_inplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7178017Z   test_dispatch_meta_inplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7178439Z   test_dispatch_meta_inplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7179214Z   test_dispatch_meta_inplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7179647Z   test_dispatch_meta_inplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7180060Z   test_dispatch_meta_inplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7180480Z   test_dispatch_meta_inplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7180893Z   test_dispatch_meta_inplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7181306Z   test_dispatch_meta_inplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7181713Z   test_dispatch_meta_inplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7182123Z   test_dispatch_meta_inplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7182536Z   test_dispatch_meta_inplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7182946Z   test_dispatch_meta_inplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7183341Z   test_dispatch_meta_inplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7183735Z   test_dispatch_meta_inplace_cat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7184133Z   test_dispatch_meta_inplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7184540Z   test_dispatch_meta_inplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7184931Z   test_dispatch_meta_inplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7185332Z   test_dispatch_meta_inplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7185727Z   test_dispatch_meta_inplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7186120Z   test_dispatch_meta_inplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7186503Z   test_dispatch_meta_inplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7186953Z   test_dispatch_meta_inplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7187346Z   test_dispatch_meta_inplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7187735Z   test_dispatch_meta_inplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7188146Z   test_dispatch_meta_inplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7188541Z   test_dispatch_meta_inplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7188939Z   test_dispatch_meta_inplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7189332Z   test_dispatch_meta_inplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7189732Z   test_dispatch_meta_inplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7190148Z   test_dispatch_meta_inplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7190641Z   test_dispatch_meta_inplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7191049Z   test_dispatch_meta_inplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7191447Z   test_dispatch_meta_inplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7191850Z   test_dispatch_meta_inplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7192252Z   test_dispatch_meta_inplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7192641Z   test_dispatch_meta_inplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7193024Z   test_dispatch_meta_inplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7193424Z   test_dispatch_meta_inplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7193817Z   test_dispatch_meta_inplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7194311Z   test_dispatch_meta_inplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7194756Z   test_dispatch_meta_inplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7195167Z   test_dispatch_meta_inplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7195583Z   test_dispatch_meta_inplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7195971Z   test_dispatch_meta_inplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7196392Z   test_dispatch_meta_inplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7196727Z   test_dispatch_meta_inplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7197055Z   test_dispatch_meta_inplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7197370Z   test_dispatch_meta_inplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7197698Z   test_dispatch_meta_inplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7198111Z   test_dispatch_meta_inplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7198663Z   test_dispatch_meta_inplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7199211Z   test_dispatch_meta_inplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7199759Z   test_dispatch_meta_inplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7200360Z   test_dispatch_meta_inplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7200892Z   test_dispatch_meta_inplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7201428Z   test_dispatch_meta_inplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7201960Z   test_dispatch_meta_inplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7202480Z   test_dispatch_meta_inplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7202981Z   test_dispatch_meta_inplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7203496Z   test_dispatch_meta_inplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7204008Z   test_dispatch_meta_inplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7204530Z   test_dispatch_meta_inplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7205035Z   test_dispatch_meta_inplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7205564Z   test_dispatch_meta_inplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7206092Z   test_dispatch_meta_inplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7206620Z   test_dispatch_meta_inplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7207137Z   test_dispatch_meta_inplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7207655Z   test_dispatch_meta_inplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7208184Z   test_dispatch_meta_inplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7208693Z   test_dispatch_meta_inplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7209167Z   test_dispatch_meta_inplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7209633Z   test_dispatch_meta_inplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7210097Z   test_dispatch_meta_inplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7210515Z   test_dispatch_meta_inplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7210969Z   test_dispatch_meta_inplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7211497Z   test_dispatch_meta_inplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7212017Z   test_dispatch_meta_inplace_char_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7212602Z   test_dispatch_meta_inplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7213126Z   test_dispatch_meta_inplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7213658Z   test_dispatch_meta_inplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7214224Z   test_dispatch_meta_inplace_char_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7214732Z   test_dispatch_meta_inplace_char_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7215238Z   test_dispatch_meta_inplace_char_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7215745Z   test_dispatch_meta_inplace_char_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7216260Z   test_dispatch_meta_inplace_char_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7216757Z   test_dispatch_meta_inplace_char_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7217263Z   test_dispatch_meta_inplace_char_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7217773Z   test_dispatch_meta_inplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7218295Z   test_dispatch_meta_inplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7219009Z   test_dispatch_meta_inplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7219551Z   test_dispatch_meta_inplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7220077Z   test_dispatch_meta_inplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7220619Z   test_dispatch_meta_inplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7221181Z   test_dispatch_meta_inplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7221728Z   test_dispatch_meta_inplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7222267Z   test_dispatch_meta_inplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7222807Z   test_dispatch_meta_inplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7223362Z   test_dispatch_meta_inplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7223957Z   test_dispatch_meta_inplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7224489Z   test_dispatch_meta_inplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7225021Z   test_dispatch_meta_inplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7225539Z   test_dispatch_meta_inplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7226070Z   test_dispatch_meta_inplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7226671Z   test_dispatch_meta_inplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7227211Z   test_dispatch_meta_inplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7227735Z   test_dispatch_meta_inplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7228335Z   test_dispatch_meta_inplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7228833Z   test_dispatch_meta_inplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7229360Z   test_dispatch_meta_inplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7229882Z   test_dispatch_meta_inplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7230514Z   test_dispatch_meta_inplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7231014Z   test_dispatch_meta_inplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7231526Z   test_dispatch_meta_inplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7231997Z   test_dispatch_meta_inplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.7232428Z   test_dispatch_meta_inplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7232862Z   test_dispatch_meta_inplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7233300Z   test_dispatch_meta_inplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7233730Z   test_dispatch_meta_inplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7234157Z   test_dispatch_meta_inplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7234576Z   test_dispatch_meta_inplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7235005Z   test_dispatch_meta_inplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7235434Z   test_dispatch_meta_inplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7235854Z   test_dispatch_meta_inplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7236302Z   test_dispatch_meta_inplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7236750Z   test_dispatch_meta_inplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7237193Z   test_dispatch_meta_inplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7237627Z   test_dispatch_meta_inplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7238065Z   test_dispatch_meta_inplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7238504Z   test_dispatch_meta_inplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7238931Z   test_dispatch_meta_inplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7239382Z   test_dispatch_meta_inplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7239819Z   test_dispatch_meta_inplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7240257Z   test_dispatch_meta_inplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7240699Z   test_dispatch_meta_inplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7241144Z   test_dispatch_meta_inplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7241635Z   test_dispatch_meta_inplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7242084Z   test_dispatch_meta_inplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7242519Z   test_dispatch_meta_inplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7242976Z   test_dispatch_meta_inplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7243463Z   test_dispatch_meta_inplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7243905Z   test_dispatch_meta_inplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7244338Z   test_dispatch_meta_inplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7244766Z   test_dispatch_meta_inplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7245221Z   test_dispatch_meta_inplace_clone_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7245726Z   test_dispatch_meta_inplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7246255Z   test_dispatch_meta_inplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7246787Z   test_dispatch_meta_inplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7247298Z   test_dispatch_meta_inplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7247804Z   test_dispatch_meta_inplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7248331Z   test_dispatch_meta_inplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7248847Z   test_dispatch_meta_inplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7249358Z   test_dispatch_meta_inplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7249868Z   test_dispatch_meta_inplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7250379Z   test_dispatch_meta_inplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7250896Z   test_dispatch_meta_inplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7251417Z   test_dispatch_meta_inplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7251942Z   test_dispatch_meta_inplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7252489Z   test_dispatch_meta_inplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7253056Z   test_dispatch_meta_inplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7253615Z   test_dispatch_meta_inplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7254142Z   test_dispatch_meta_inplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7254678Z   test_dispatch_meta_inplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7255205Z   test_dispatch_meta_inplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7255794Z   test_dispatch_meta_inplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7256334Z   test_dispatch_meta_inplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7256850Z   test_dispatch_meta_inplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7257416Z   test_dispatch_meta_inplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7257947Z   test_dispatch_meta_inplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7258493Z   test_dispatch_meta_inplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7259198Z   test_dispatch_meta_inplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7259743Z   test_dispatch_meta_inplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7260297Z   test_dispatch_meta_inplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7260843Z   test_dispatch_meta_inplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7261366Z   test_dispatch_meta_inplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7261905Z   test_dispatch_meta_inplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7262434Z   test_dispatch_meta_inplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7262971Z   test_dispatch_meta_inplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7263492Z   test_dispatch_meta_inplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7264020Z   test_dispatch_meta_inplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7264546Z   test_dispatch_meta_inplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7265068Z   test_dispatch_meta_inplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7265592Z   test_dispatch_meta_inplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7266116Z   test_dispatch_meta_inplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7266653Z   test_dispatch_meta_inplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7267175Z   test_dispatch_meta_inplace_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7267681Z   test_dispatch_meta_inplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7268231Z   test_dispatch_meta_inplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7268757Z   test_dispatch_meta_inplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7269277Z   test_dispatch_meta_inplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7269776Z   test_dispatch_meta_inplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7270442Z   test_dispatch_meta_inplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7270960Z   test_dispatch_meta_inplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7271519Z   test_dispatch_meta_inplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7272025Z   test_dispatch_meta_inplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7272541Z   test_dispatch_meta_inplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7273060Z   test_dispatch_meta_inplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7273545Z   test_dispatch_meta_inplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7273996Z   test_dispatch_meta_inplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7274470Z   test_dispatch_meta_inplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7274931Z   test_dispatch_meta_inplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.152s)
2022-11-23T01:45:55.7275399Z   test_dispatch_meta_inplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7275848Z   test_dispatch_meta_inplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7276308Z   test_dispatch_meta_inplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7276763Z   test_dispatch_meta_inplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7277203Z   test_dispatch_meta_inplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7277651Z   test_dispatch_meta_inplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7278084Z   test_dispatch_meta_inplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7278532Z   test_dispatch_meta_inplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7278975Z   test_dispatch_meta_inplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7279472Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7280018Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7280569Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7281116Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7281671Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7282213Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7282763Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7283292Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7283874Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7284444Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7284980Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7285513Z   test_dispatch_meta_inplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7286105Z   test_dispatch_meta_inplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7286650Z   test_dispatch_meta_inplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7287192Z   test_dispatch_meta_inplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7287726Z   test_dispatch_meta_inplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7288254Z   test_dispatch_meta_inplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7288788Z   test_dispatch_meta_inplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7289325Z   test_dispatch_meta_inplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7289858Z   test_dispatch_meta_inplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7290376Z   test_dispatch_meta_inplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7290901Z   test_dispatch_meta_inplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7291429Z   test_dispatch_meta_inplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7291940Z   test_dispatch_meta_inplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7292456Z   test_dispatch_meta_inplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7292935Z   test_dispatch_meta_inplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7293421Z   test_dispatch_meta_inplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7293901Z   test_dispatch_meta_inplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7294328Z   test_dispatch_meta_inplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7294768Z   test_dispatch_meta_inplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7295251Z   test_dispatch_meta_inplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7295753Z   test_dispatch_meta_inplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7296256Z   test_dispatch_meta_inplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7296764Z   test_dispatch_meta_inplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7297275Z   test_dispatch_meta_inplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7297782Z   test_dispatch_meta_inplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7298318Z   test_dispatch_meta_inplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7313018Z   test_dispatch_meta_inplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7313650Z   test_dispatch_meta_inplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7314199Z   test_dispatch_meta_inplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7314601Z   test_dispatch_meta_inplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7315004Z   test_dispatch_meta_inplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7315407Z   test_dispatch_meta_inplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7315795Z   test_dispatch_meta_inplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7316188Z   test_dispatch_meta_inplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7316589Z   test_dispatch_meta_inplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7316956Z   test_dispatch_meta_inplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7317311Z   test_dispatch_meta_inplace_cos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7317672Z   test_dispatch_meta_inplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7318006Z   test_dispatch_meta_inplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7318338Z   test_dispatch_meta_inplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7318668Z   test_dispatch_meta_inplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7318994Z   test_dispatch_meta_inplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7319313Z   test_dispatch_meta_inplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7319660Z   test_dispatch_meta_inplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7320049Z   test_dispatch_meta_inplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7320425Z   test_dispatch_meta_inplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7320807Z   test_dispatch_meta_inplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7321179Z   test_dispatch_meta_inplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7321537Z   test_dispatch_meta_inplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7321893Z   test_dispatch_meta_inplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7322250Z   test_dispatch_meta_inplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7322584Z   test_dispatch_meta_inplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7322921Z   test_dispatch_meta_inplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7323259Z   test_dispatch_meta_inplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7323584Z   test_dispatch_meta_inplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7323916Z   test_dispatch_meta_inplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7324310Z   test_dispatch_meta_inplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7324694Z   test_dispatch_meta_inplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7325069Z   test_dispatch_meta_inplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7325473Z   test_dispatch_meta_inplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7325852Z   test_dispatch_meta_inplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7326252Z   test_dispatch_meta_inplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7326657Z   test_dispatch_meta_inplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7327076Z   test_dispatch_meta_inplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7327498Z   test_dispatch_meta_inplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7327914Z   test_dispatch_meta_inplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7328320Z   test_dispatch_meta_inplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7328729Z   test_dispatch_meta_inplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7329138Z   test_dispatch_meta_inplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7329543Z   test_dispatch_meta_inplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7329945Z   test_dispatch_meta_inplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7330345Z   test_dispatch_meta_inplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7330754Z   test_dispatch_meta_inplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7331159Z   test_dispatch_meta_inplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7331550Z   test_dispatch_meta_inplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7331947Z   test_dispatch_meta_inplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7332343Z   test_dispatch_meta_inplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7332738Z   test_dispatch_meta_inplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7333171Z   test_dispatch_meta_inplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7333569Z   test_dispatch_meta_inplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7333963Z   test_dispatch_meta_inplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7334353Z   test_dispatch_meta_inplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7334731Z   test_dispatch_meta_inplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7335144Z   test_dispatch_meta_inplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7335543Z   test_dispatch_meta_inplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7335950Z   test_dispatch_meta_inplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7336382Z   test_dispatch_meta_inplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7336777Z   test_dispatch_meta_inplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7337163Z   test_dispatch_meta_inplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7337550Z   test_dispatch_meta_inplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7337933Z   test_dispatch_meta_inplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7338328Z   test_dispatch_meta_inplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7338719Z   test_dispatch_meta_inplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7339236Z   test_dispatch_meta_inplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7339632Z   test_dispatch_meta_inplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7340028Z   test_dispatch_meta_inplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7340422Z   test_dispatch_meta_inplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7340819Z   test_dispatch_meta_inplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7341213Z   test_dispatch_meta_inplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7341613Z   test_dispatch_meta_inplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7342004Z   test_dispatch_meta_inplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7342388Z   test_dispatch_meta_inplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7342780Z   test_dispatch_meta_inplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7343194Z   test_dispatch_meta_inplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7343617Z   test_dispatch_meta_inplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7344002Z   test_dispatch_meta_inplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7344393Z   test_dispatch_meta_inplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7344788Z   test_dispatch_meta_inplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7345172Z   test_dispatch_meta_inplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7345552Z   test_dispatch_meta_inplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7345993Z   test_dispatch_meta_inplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7346384Z   test_dispatch_meta_inplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7346769Z   test_dispatch_meta_inplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7347177Z   test_dispatch_meta_inplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7347540Z   test_dispatch_meta_inplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7347888Z   test_dispatch_meta_inplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7348235Z   test_dispatch_meta_inplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7348567Z   test_dispatch_meta_inplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7348905Z   test_dispatch_meta_inplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7349235Z   test_dispatch_meta_inplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7349562Z   test_dispatch_meta_inplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7349899Z   test_dispatch_meta_inplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7350232Z   test_dispatch_meta_inplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7350647Z   test_dispatch_meta_inplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7350976Z   test_dispatch_meta_inplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7351356Z   test_dispatch_meta_inplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7351781Z   test_dispatch_meta_inplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7352202Z   test_dispatch_meta_inplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7352612Z   test_dispatch_meta_inplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7353027Z   test_dispatch_meta_inplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7353436Z   test_dispatch_meta_inplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7353844Z   test_dispatch_meta_inplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7354241Z   test_dispatch_meta_inplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7354647Z   test_dispatch_meta_inplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7355051Z   test_dispatch_meta_inplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7355455Z   test_dispatch_meta_inplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7355869Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7356310Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7356749Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7357217Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7357635Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7358087Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7358520Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7358947Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7359361Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7359793Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7360216Z   test_dispatch_meta_inplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7360597Z   test_dispatch_meta_inplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7360973Z   test_dispatch_meta_inplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7361339Z   test_dispatch_meta_inplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7361680Z   test_dispatch_meta_inplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7362012Z   test_dispatch_meta_inplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7362381Z   test_dispatch_meta_inplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7362777Z   test_dispatch_meta_inplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7363167Z   test_dispatch_meta_inplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7363548Z   test_dispatch_meta_inplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7363933Z   test_dispatch_meta_inplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7364333Z   test_dispatch_meta_inplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7364735Z   test_dispatch_meta_inplace_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7365133Z   test_dispatch_meta_inplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7365545Z   test_dispatch_meta_inplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7365949Z   test_dispatch_meta_inplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7366353Z   test_dispatch_meta_inplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7366742Z   test_dispatch_meta_inplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7367132Z   test_dispatch_meta_inplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7367528Z   test_dispatch_meta_inplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7367953Z   test_dispatch_meta_inplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7368343Z   test_dispatch_meta_inplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7368738Z   test_dispatch_meta_inplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7369207Z   test_dispatch_meta_inplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7369610Z   test_dispatch_meta_inplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7370015Z   test_dispatch_meta_inplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7370430Z   test_dispatch_meta_inplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7370850Z   test_dispatch_meta_inplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7371270Z   test_dispatch_meta_inplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7371678Z   test_dispatch_meta_inplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7371880Z   test_dispatch_meta_inplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7372075Z   test_dispatch_meta_inplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7372269Z   test_dispatch_meta_inplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7372464Z   test_dispatch_meta_inplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7372655Z   test_dispatch_meta_inplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7372848Z   test_dispatch_meta_inplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7373050Z   test_dispatch_meta_inplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7373249Z   test_dispatch_meta_inplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7373436Z   test_dispatch_meta_inplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7373636Z   test_dispatch_meta_inplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7373836Z   test_dispatch_meta_inplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374029Z   test_dispatch_meta_inplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374224Z   test_dispatch_meta_inplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374421Z   test_dispatch_meta_inplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374614Z   test_dispatch_meta_inplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374809Z   test_dispatch_meta_inplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7374995Z   test_dispatch_meta_inplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7375206Z   test_dispatch_meta_inplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7375403Z   test_dispatch_meta_inplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7375635Z   test_dispatch_meta_inplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7375832Z   test_dispatch_meta_inplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7376037Z   test_dispatch_meta_inplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7376240Z   test_dispatch_meta_inplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7376442Z   test_dispatch_meta_inplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7376643Z   test_dispatch_meta_inplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7376844Z   test_dispatch_meta_inplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7377040Z   test_dispatch_meta_inplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7377240Z   test_dispatch_meta_inplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7377436Z   test_dispatch_meta_inplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7377634Z   test_dispatch_meta_inplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7377834Z   test_dispatch_meta_inplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7378029Z   test_dispatch_meta_inplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7378230Z   test_dispatch_meta_inplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7378426Z   test_dispatch_meta_inplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7378630Z   test_dispatch_meta_inplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7378932Z   test_dispatch_meta_inplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7379132Z   test_dispatch_meta_inplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7379325Z   test_dispatch_meta_inplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7379510Z   test_dispatch_meta_inplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7379702Z   test_dispatch_meta_inplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7379894Z   test_dispatch_meta_inplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7380087Z   test_dispatch_meta_inplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7380275Z   test_dispatch_meta_inplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7380509Z   test_dispatch_meta_inplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7380696Z   test_dispatch_meta_inplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7380905Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7381135Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7381336Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7381522Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7381725Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7381926Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7382122Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7382317Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7382517Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7382717Z   test_dispatch_meta_inplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7382907Z   test_dispatch_meta_inplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7383096Z   test_dispatch_meta_inplace_diff_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7383290Z   test_dispatch_meta_inplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7383472Z   test_dispatch_meta_inplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7383659Z   test_dispatch_meta_inplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7383850Z   test_dispatch_meta_inplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384036Z   test_dispatch_meta_inplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384224Z   test_dispatch_meta_inplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384409Z   test_dispatch_meta_inplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384596Z   test_dispatch_meta_inplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384787Z   test_dispatch_meta_inplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7384972Z   test_dispatch_meta_inplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7385155Z   test_dispatch_meta_inplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7385314Z   test_dispatch_meta_inplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.314s)
2022-11-23T01:45:55.7385468Z   test_dispatch_meta_inplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:55.7385657Z   test_dispatch_meta_inplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.336s)
2022-11-23T01:45:55.7385849Z   test_dispatch_meta_inplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7386033Z   test_dispatch_meta_inplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7386235Z   test_dispatch_meta_inplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7386421Z   test_dispatch_meta_inplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7386606Z   test_dispatch_meta_inplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7386796Z   test_dispatch_meta_inplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7386985Z   test_dispatch_meta_inplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7387179Z   test_dispatch_meta_inplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7387368Z   test_dispatch_meta_inplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7387558Z   test_dispatch_meta_inplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7387745Z   test_dispatch_meta_inplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7387918Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.7388091Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7388260Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7388425Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7388585Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7388756Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7388925Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7389092Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7389260Z   test_dispatch_meta_inplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7389434Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7389636Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7389814Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7389989Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (1.630s)
2022-11-23T01:45:55.7390162Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7390403Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7390584Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7390758Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7390987Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7391192Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7391393Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7391624Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7391827Z   test_dispatch_meta_inplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7392003Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7392169Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7392339Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7392504Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7392672Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7392846Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7393010Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7393177Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7393348Z   test_dispatch_meta_inplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7393535Z   test_dispatch_meta_inplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7393735Z   test_dispatch_meta_inplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7393932Z   test_dispatch_meta_inplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7394126Z   test_dispatch_meta_inplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7394323Z   test_dispatch_meta_inplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7394509Z   test_dispatch_meta_inplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7394706Z   test_dispatch_meta_inplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7394898Z   test_dispatch_meta_inplace_double_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7395099Z   test_dispatch_meta_inplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7395296Z   test_dispatch_meta_inplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7395486Z   test_dispatch_meta_inplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7395681Z   test_dispatch_meta_inplace_double_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7395873Z   test_dispatch_meta_inplace_double_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7396066Z   test_dispatch_meta_inplace_double_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7396283Z   test_dispatch_meta_inplace_double_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7396474Z   test_dispatch_meta_inplace_double_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7396664Z   test_dispatch_meta_inplace_double_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7396876Z   test_dispatch_meta_inplace_double_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7397067Z   test_dispatch_meta_inplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7397266Z   test_dispatch_meta_inplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7397450Z   test_dispatch_meta_inplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7397653Z   test_dispatch_meta_inplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7397848Z   test_dispatch_meta_inplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7398046Z   test_dispatch_meta_inplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7398240Z   test_dispatch_meta_inplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7398432Z   test_dispatch_meta_inplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7398626Z   test_dispatch_meta_inplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7398818Z   test_dispatch_meta_inplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399011Z   test_dispatch_meta_inplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399194Z   test_dispatch_meta_inplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399381Z   test_dispatch_meta_inplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399571Z   test_dispatch_meta_inplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399767Z   test_dispatch_meta_inplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7399959Z   test_dispatch_meta_inplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7400159Z   test_dispatch_meta_inplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7400355Z   test_dispatch_meta_inplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7400550Z   test_dispatch_meta_inplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7400745Z   test_dispatch_meta_inplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7400936Z   test_dispatch_meta_inplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7401126Z   test_dispatch_meta_inplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7401310Z   test_dispatch_meta_inplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7401521Z   test_dispatch_meta_inplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7401709Z   test_dispatch_meta_inplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7401899Z   test_dispatch_meta_inplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7402108Z   test_dispatch_meta_inplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7402306Z   test_dispatch_meta_inplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7402505Z   test_dispatch_meta_inplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7402697Z   test_dispatch_meta_inplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7402894Z   test_dispatch_meta_inplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7403076Z   test_dispatch_meta_inplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7403267Z   test_dispatch_meta_inplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7403460Z   test_dispatch_meta_inplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7403656Z   test_dispatch_meta_inplace_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7403853Z   test_dispatch_meta_inplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7404048Z   test_dispatch_meta_inplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7404248Z   test_dispatch_meta_inplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7404443Z   test_dispatch_meta_inplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7404639Z   test_dispatch_meta_inplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7404831Z   test_dispatch_meta_inplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405015Z   test_dispatch_meta_inplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405211Z   test_dispatch_meta_inplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405403Z   test_dispatch_meta_inplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405595Z   test_dispatch_meta_inplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405785Z   test_dispatch_meta_inplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7405991Z   test_dispatch_meta_inplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7406189Z   test_dispatch_meta_inplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7406394Z   test_dispatch_meta_inplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7406592Z   test_dispatch_meta_inplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7406819Z   test_dispatch_meta_inplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7407012Z   test_dispatch_meta_inplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7407212Z   test_dispatch_meta_inplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7407435Z   test_dispatch_meta_inplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7407631Z   test_dispatch_meta_inplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7407825Z   test_dispatch_meta_inplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7408020Z   test_dispatch_meta_inplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7408218Z   test_dispatch_meta_inplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7408411Z   test_dispatch_meta_inplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7408576Z   test_dispatch_meta_inplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7408729Z   test_dispatch_meta_inplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7408882Z   test_dispatch_meta_inplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7409041Z   test_dispatch_meta_inplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7409198Z   test_dispatch_meta_inplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7409353Z   test_dispatch_meta_inplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7409507Z   test_dispatch_meta_inplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7409654Z   test_dispatch_meta_inplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7409809Z   test_dispatch_meta_inplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7409964Z   test_dispatch_meta_inplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7410103Z   test_dispatch_meta_inplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7410252Z   test_dispatch_meta_inplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7410407Z   test_dispatch_meta_inplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7410606Z   test_dispatch_meta_inplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7410803Z   test_dispatch_meta_inplace_equal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411000Z   test_dispatch_meta_inplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411197Z   test_dispatch_meta_inplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411397Z   test_dispatch_meta_inplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411590Z   test_dispatch_meta_inplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411771Z   test_dispatch_meta_inplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7411962Z   test_dispatch_meta_inplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7412176Z   test_dispatch_meta_inplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7412370Z   test_dispatch_meta_inplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7412560Z   test_dispatch_meta_inplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7412780Z   test_dispatch_meta_inplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7412939Z   test_dispatch_meta_inplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7413126Z   test_dispatch_meta_inplace_erf_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7413281Z   test_dispatch_meta_inplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7413432Z   test_dispatch_meta_inplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7413582Z   test_dispatch_meta_inplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7413768Z   test_dispatch_meta_inplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7413956Z   test_dispatch_meta_inplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7414141Z   test_dispatch_meta_inplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7414325Z   test_dispatch_meta_inplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7414506Z   test_dispatch_meta_inplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7414666Z   test_dispatch_meta_inplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.167s)
2022-11-23T01:45:55.7414850Z   test_dispatch_meta_inplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7415006Z   test_dispatch_meta_inplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.166s)
2022-11-23T01:45:55.7415157Z   test_dispatch_meta_inplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:55.7415313Z   test_dispatch_meta_inplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:55.7415500Z   test_dispatch_meta_inplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7415685Z   test_dispatch_meta_inplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7415869Z   test_dispatch_meta_inplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7416053Z   test_dispatch_meta_inplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7416236Z   test_dispatch_meta_inplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7416425Z   test_dispatch_meta_inplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7416583Z   test_dispatch_meta_inplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.165s)
2022-11-23T01:45:55.7416739Z   test_dispatch_meta_inplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:55.7416897Z   test_dispatch_meta_inplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.218s)
2022-11-23T01:45:55.7417086Z   test_dispatch_meta_inplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7417267Z   test_dispatch_meta_inplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7417445Z   test_dispatch_meta_inplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7417651Z   test_dispatch_meta_inplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7417840Z   test_dispatch_meta_inplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7418022Z   test_dispatch_meta_inplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.146s)
2022-11-23T01:45:55.7418206Z   test_dispatch_meta_inplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7418354Z   test_dispatch_meta_inplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.146s)
2022-11-23T01:45:55.7418511Z   test_dispatch_meta_inplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.144s)
2022-11-23T01:45:55.7418663Z   test_dispatch_meta_inplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.167s)
2022-11-23T01:45:55.7418945Z   test_dispatch_meta_inplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7419131Z   test_dispatch_meta_inplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7419309Z   test_dispatch_meta_inplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7419492Z   test_dispatch_meta_inplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7419670Z   test_dispatch_meta_inplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7419821Z   test_dispatch_meta_inplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7419996Z   test_dispatch_meta_inplace_exp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7420153Z   test_dispatch_meta_inplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.348s)
2022-11-23T01:45:55.7420310Z   test_dispatch_meta_inplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.344s)
2022-11-23T01:45:55.7420462Z   test_dispatch_meta_inplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.340s)
2022-11-23T01:45:55.7420614Z   test_dispatch_meta_inplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7420763Z   test_dispatch_meta_inplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7420909Z   test_dispatch_meta_inplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7421088Z   test_dispatch_meta_inplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7421258Z   test_dispatch_meta_inplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7421439Z   test_dispatch_meta_inplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7421619Z   test_dispatch_meta_inplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7421799Z   test_dispatch_meta_inplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7421998Z   test_dispatch_meta_inplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7422194Z   test_dispatch_meta_inplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7422395Z   test_dispatch_meta_inplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7422593Z   test_dispatch_meta_inplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7422790Z   test_dispatch_meta_inplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7423024Z   test_dispatch_meta_inplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7423214Z   test_dispatch_meta_inplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7423434Z   test_dispatch_meta_inplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7423624Z   test_dispatch_meta_inplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7423815Z   test_dispatch_meta_inplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424006Z   test_dispatch_meta_inplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424195Z   test_dispatch_meta_inplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424388Z   test_dispatch_meta_inplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424581Z   test_dispatch_meta_inplace_expand_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424776Z   test_dispatch_meta_inplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7424971Z   test_dispatch_meta_inplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7425156Z   test_dispatch_meta_inplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7425345Z   test_dispatch_meta_inplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7425532Z   test_dispatch_meta_inplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7425722Z   test_dispatch_meta_inplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7425905Z   test_dispatch_meta_inplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7426096Z   test_dispatch_meta_inplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7426284Z   test_dispatch_meta_inplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7426473Z   test_dispatch_meta_inplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7426629Z   test_dispatch_meta_inplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7426807Z   test_dispatch_meta_inplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7426962Z   test_dispatch_meta_inplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7427117Z   test_dispatch_meta_inplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7427274Z   test_dispatch_meta_inplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7427460Z   test_dispatch_meta_inplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7427640Z   test_dispatch_meta_inplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7427817Z   test_dispatch_meta_inplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7427997Z   test_dispatch_meta_inplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7428207Z   test_dispatch_meta_inplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7428390Z   test_dispatch_meta_inplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7428578Z   test_dispatch_meta_inplace_eye_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7428802Z   test_dispatch_meta_inplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7428994Z   test_dispatch_meta_inplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7429181Z   test_dispatch_meta_inplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7429369Z   test_dispatch_meta_inplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7429559Z   test_dispatch_meta_inplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7429745Z   test_dispatch_meta_inplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7429934Z   test_dispatch_meta_inplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7430119Z   test_dispatch_meta_inplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7430351Z   test_dispatch_meta_inplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7430546Z   test_dispatch_meta_inplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7430740Z   test_dispatch_meta_inplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7430939Z   test_dispatch_meta_inplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7431135Z   test_dispatch_meta_inplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7431335Z   test_dispatch_meta_inplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7431525Z   test_dispatch_meta_inplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7431717Z   test_dispatch_meta_inplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7431904Z   test_dispatch_meta_inplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7432097Z   test_dispatch_meta_inplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7432280Z   test_dispatch_meta_inplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7432464Z   test_dispatch_meta_inplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7432655Z   test_dispatch_meta_inplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7432847Z   test_dispatch_meta_inplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7433037Z   test_dispatch_meta_inplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7433232Z   test_dispatch_meta_inplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7433455Z   test_dispatch_meta_inplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7433651Z   test_dispatch_meta_inplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7433865Z   test_dispatch_meta_inplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434057Z   test_dispatch_meta_inplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434235Z   test_dispatch_meta_inplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434422Z   test_dispatch_meta_inplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434612Z   test_dispatch_meta_inplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434799Z   test_dispatch_meta_inplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7434985Z   test_dispatch_meta_inplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7435173Z   test_dispatch_meta_inplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7435357Z   test_dispatch_meta_inplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7435557Z   test_dispatch_meta_inplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7435760Z   test_dispatch_meta_inplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7435957Z   test_dispatch_meta_inplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7436141Z   test_dispatch_meta_inplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7436334Z   test_dispatch_meta_inplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7436523Z   test_dispatch_meta_inplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7436715Z   test_dispatch_meta_inplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7436902Z   test_dispatch_meta_inplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7437087Z   test_dispatch_meta_inplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7437279Z   test_dispatch_meta_inplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7437468Z   test_dispatch_meta_inplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7437672Z   test_dispatch_meta_inplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7437867Z   test_dispatch_meta_inplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7438062Z   test_dispatch_meta_inplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7438266Z   test_dispatch_meta_inplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7438487Z   test_dispatch_meta_inplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7438687Z   test_dispatch_meta_inplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7438885Z   test_dispatch_meta_inplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7439106Z   test_dispatch_meta_inplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7439302Z   test_dispatch_meta_inplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7439497Z   test_dispatch_meta_inplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7439691Z   test_dispatch_meta_inplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7439888Z   test_dispatch_meta_inplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7440071Z   test_dispatch_meta_inplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7440266Z   test_dispatch_meta_inplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7440461Z   test_dispatch_meta_inplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7440659Z   test_dispatch_meta_inplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7440857Z   test_dispatch_meta_inplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7441050Z   test_dispatch_meta_inplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7441244Z   test_dispatch_meta_inplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7441437Z   test_dispatch_meta_inplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7441631Z   test_dispatch_meta_inplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7441821Z   test_dispatch_meta_inplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442000Z   test_dispatch_meta_inplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442191Z   test_dispatch_meta_inplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442385Z   test_dispatch_meta_inplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442576Z   test_dispatch_meta_inplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442773Z   test_dispatch_meta_inplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7442970Z   test_dispatch_meta_inplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7443166Z   test_dispatch_meta_inplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7443356Z   test_dispatch_meta_inplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7443545Z   test_dispatch_meta_inplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7443760Z   test_dispatch_meta_inplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7443943Z   test_dispatch_meta_inplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7444152Z   test_dispatch_meta_inplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7444337Z   test_dispatch_meta_inplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7444525Z   test_dispatch_meta_inplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7444715Z   test_dispatch_meta_inplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7444906Z   test_dispatch_meta_inplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7445103Z   test_dispatch_meta_inplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7445299Z   test_dispatch_meta_inplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7445500Z   test_dispatch_meta_inplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7445692Z   test_dispatch_meta_inplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7445880Z   test_dispatch_meta_inplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7446072Z   test_dispatch_meta_inplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7446264Z   test_dispatch_meta_inplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7446457Z   test_dispatch_meta_inplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7446701Z   test_dispatch_meta_inplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7446945Z   test_dispatch_meta_inplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7447145Z   test_dispatch_meta_inplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7447353Z   test_dispatch_meta_inplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7447565Z   test_dispatch_meta_inplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7447753Z   test_dispatch_meta_inplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7448096Z   test_dispatch_meta_inplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7448305Z   test_dispatch_meta_inplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7448511Z   test_dispatch_meta_inplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7448694Z   test_dispatch_meta_inplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7448894Z   test_dispatch_meta_inplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7449131Z   test_dispatch_meta_inplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7449327Z   test_dispatch_meta_inplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7449530Z   test_dispatch_meta_inplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7449758Z   test_dispatch_meta_inplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7449988Z   test_dispatch_meta_inplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7450201Z   test_dispatch_meta_inplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7450455Z   test_dispatch_meta_inplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7450674Z   test_dispatch_meta_inplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7450861Z   test_dispatch_meta_inplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7451070Z   test_dispatch_meta_inplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7451278Z   test_dispatch_meta_inplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7451481Z   test_dispatch_meta_inplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7451687Z   test_dispatch_meta_inplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7451904Z   test_dispatch_meta_inplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7452108Z   test_dispatch_meta_inplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7452321Z   test_dispatch_meta_inplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7452528Z   test_dispatch_meta_inplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7452743Z   test_dispatch_meta_inplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7452930Z   test_dispatch_meta_inplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7453146Z   test_dispatch_meta_inplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7453353Z   test_dispatch_meta_inplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7453563Z   test_dispatch_meta_inplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7453786Z   test_dispatch_meta_inplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7454053Z   test_dispatch_meta_inplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7454259Z   test_dispatch_meta_inplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7454458Z   test_dispatch_meta_inplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7454687Z   test_dispatch_meta_inplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7454894Z   test_dispatch_meta_inplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7455088Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7455320Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7455544Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7455774Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7455982Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7456202Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7456415Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7456625Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7456834Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7457053Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7457241Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7457448Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7457707Z   test_dispatch_meta_inplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7457912Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7458124Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7458331Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7458541Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7458782Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7460119Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7460337Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7460524Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7460754Z   test_dispatch_meta_inplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7460960Z   test_dispatch_meta_inplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7461171Z   test_dispatch_meta_inplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7461444Z   test_dispatch_meta_inplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7461652Z   test_dispatch_meta_inplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7461856Z   test_dispatch_meta_inplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7462136Z   test_dispatch_meta_inplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7462338Z   test_dispatch_meta_inplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7462563Z   test_dispatch_meta_inplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7462747Z   test_dispatch_meta_inplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7462970Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7463178Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7463387Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7463600Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7463804Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7464021Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7464221Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7464448Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7464657Z   test_dispatch_meta_inplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7464840Z   test_dispatch_meta_inplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7465052Z   test_dispatch_meta_inplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7465262Z   test_dispatch_meta_inplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7465475Z   test_dispatch_meta_inplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7465724Z   test_dispatch_meta_inplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7465931Z   test_dispatch_meta_inplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7466143Z   test_dispatch_meta_inplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7466360Z   test_dispatch_meta_inplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7466561Z   test_dispatch_meta_inplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7466762Z   test_dispatch_meta_inplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7466940Z   test_dispatch_meta_inplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7467169Z   test_dispatch_meta_inplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7467379Z   test_dispatch_meta_inplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7467622Z   test_dispatch_meta_inplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7467834Z   test_dispatch_meta_inplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7468043Z   test_dispatch_meta_inplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7468264Z   test_dispatch_meta_inplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7468476Z   test_dispatch_meta_inplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7468686Z   test_dispatch_meta_inplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7468930Z   test_dispatch_meta_inplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7469113Z   test_dispatch_meta_inplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7469321Z   test_dispatch_meta_inplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7469525Z   test_dispatch_meta_inplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7469731Z   test_dispatch_meta_inplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7469938Z   test_dispatch_meta_inplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7470165Z   test_dispatch_meta_inplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7470487Z   test_dispatch_meta_inplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7470703Z   test_dispatch_meta_inplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7470920Z   test_dispatch_meta_inplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7471131Z   test_dispatch_meta_inplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7471322Z   test_dispatch_meta_inplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7471527Z   test_dispatch_meta_inplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7471730Z   test_dispatch_meta_inplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7471940Z   test_dispatch_meta_inplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7472158Z   test_dispatch_meta_inplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7472367Z   test_dispatch_meta_inplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7472580Z   test_dispatch_meta_inplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7472858Z   test_dispatch_meta_inplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7473065Z   test_dispatch_meta_inplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7473274Z   test_dispatch_meta_inplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7473479Z   test_dispatch_meta_inplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7473681Z   test_dispatch_meta_inplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7473885Z   test_dispatch_meta_inplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7474114Z   test_dispatch_meta_inplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7474318Z   test_dispatch_meta_inplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7474525Z   test_dispatch_meta_inplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7474734Z   test_dispatch_meta_inplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7474942Z   test_dispatch_meta_inplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7475146Z   test_dispatch_meta_inplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7475351Z   test_dispatch_meta_inplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7475537Z   test_dispatch_meta_inplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7475751Z   test_dispatch_meta_inplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7475969Z   test_dispatch_meta_inplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7476215Z   test_dispatch_meta_inplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7476419Z   test_dispatch_meta_inplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7476626Z   test_dispatch_meta_inplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7476831Z   test_dispatch_meta_inplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7477042Z   test_dispatch_meta_inplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7477254Z   test_dispatch_meta_inplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7477458Z   test_dispatch_meta_inplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7477647Z   test_dispatch_meta_inplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7477863Z   test_dispatch_meta_inplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7478070Z   test_dispatch_meta_inplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7478243Z   test_dispatch_meta_inplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7478438Z   test_dispatch_meta_inplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7478622Z   test_dispatch_meta_inplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7478796Z   test_dispatch_meta_inplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7478988Z   test_dispatch_meta_inplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7479161Z   test_dispatch_meta_inplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7479311Z   test_dispatch_meta_inplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7479533Z   test_dispatch_meta_inplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7479702Z   test_dispatch_meta_inplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7479873Z   test_dispatch_meta_inplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7480048Z   test_dispatch_meta_inplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7480213Z   test_dispatch_meta_inplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7480376Z   test_dispatch_meta_inplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7480589Z   test_dispatch_meta_inplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7480779Z   test_dispatch_meta_inplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7480994Z   test_dispatch_meta_inplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7481219Z   test_dispatch_meta_inplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7481434Z   test_dispatch_meta_inplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7481650Z   test_dispatch_meta_inplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7481855Z   test_dispatch_meta_inplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7482061Z   test_dispatch_meta_inplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7482268Z   test_dispatch_meta_inplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7482473Z   test_dispatch_meta_inplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7482718Z   test_dispatch_meta_inplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7482906Z   test_dispatch_meta_inplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7483127Z   test_dispatch_meta_inplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7483358Z   test_dispatch_meta_inplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7483593Z   test_dispatch_meta_inplace_flip_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7483802Z   test_dispatch_meta_inplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7484010Z   test_dispatch_meta_inplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7484213Z   test_dispatch_meta_inplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7484446Z   test_dispatch_meta_inplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7484663Z   test_dispatch_meta_inplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7484913Z   test_dispatch_meta_inplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7485093Z   test_dispatch_meta_inplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7485300Z   test_dispatch_meta_inplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7485507Z   test_dispatch_meta_inplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7485714Z   test_dispatch_meta_inplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7485920Z   test_dispatch_meta_inplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7486128Z   test_dispatch_meta_inplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7486389Z   test_dispatch_meta_inplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7486597Z   test_dispatch_meta_inplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7486819Z   test_dispatch_meta_inplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7487005Z   test_dispatch_meta_inplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7487212Z   test_dispatch_meta_inplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7487418Z   test_dispatch_meta_inplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7487621Z   test_dispatch_meta_inplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7487829Z   test_dispatch_meta_inplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7488045Z   test_dispatch_meta_inplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7488250Z   test_dispatch_meta_inplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7488457Z   test_dispatch_meta_inplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7488678Z   test_dispatch_meta_inplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7488889Z   test_dispatch_meta_inplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7489083Z   test_dispatch_meta_inplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7489288Z   test_dispatch_meta_inplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7489491Z   test_dispatch_meta_inplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7489696Z   test_dispatch_meta_inplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7489936Z   test_dispatch_meta_inplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7490164Z   test_dispatch_meta_inplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7490367Z   test_dispatch_meta_inplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7490608Z   test_dispatch_meta_inplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7490813Z   test_dispatch_meta_inplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7491028Z   test_dispatch_meta_inplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7491212Z   test_dispatch_meta_inplace_float_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7491427Z   test_dispatch_meta_inplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7491632Z   test_dispatch_meta_inplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7491842Z   test_dispatch_meta_inplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7492052Z   test_dispatch_meta_inplace_float_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7492259Z   test_dispatch_meta_inplace_float_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7492475Z   test_dispatch_meta_inplace_float_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7492687Z   test_dispatch_meta_inplace_float_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7492894Z   test_dispatch_meta_inplace_float_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7493098Z   test_dispatch_meta_inplace_float_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7493283Z   test_dispatch_meta_inplace_float_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7493524Z   test_dispatch_meta_inplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7493744Z   test_dispatch_meta_inplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7493961Z   test_dispatch_meta_inplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7494186Z   test_dispatch_meta_inplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7494435Z   test_dispatch_meta_inplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7494654Z   test_dispatch_meta_inplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7494870Z   test_dispatch_meta_inplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7495079Z   test_dispatch_meta_inplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7495299Z   test_dispatch_meta_inplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7495489Z   test_dispatch_meta_inplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7495720Z   test_dispatch_meta_inplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7495943Z   test_dispatch_meta_inplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7496160Z   test_dispatch_meta_inplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.7496370Z   test_dispatch_meta_inplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7496543Z   test_dispatch_meta_inplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7496752Z   test_dispatch_meta_inplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7496921Z   test_dispatch_meta_inplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497096Z   test_dispatch_meta_inplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497243Z   test_dispatch_meta_inplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497415Z   test_dispatch_meta_inplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497587Z   test_dispatch_meta_inplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497752Z   test_dispatch_meta_inplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7497944Z   test_dispatch_meta_inplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7498126Z   test_dispatch_meta_inplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7498309Z   test_dispatch_meta_inplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7498486Z   test_dispatch_meta_inplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.7498673Z   test_dispatch_meta_inplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7498945Z   test_dispatch_meta_inplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7499126Z   test_dispatch_meta_inplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7499302Z   test_dispatch_meta_inplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7499472Z   test_dispatch_meta_inplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7499696Z   test_dispatch_meta_inplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7499901Z   test_dispatch_meta_inplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7500149Z   test_dispatch_meta_inplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7500365Z   test_dispatch_meta_inplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7500570Z   test_dispatch_meta_inplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7500752Z   test_dispatch_meta_inplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7500953Z   test_dispatch_meta_inplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7501154Z   test_dispatch_meta_inplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7501358Z   test_dispatch_meta_inplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7501571Z   test_dispatch_meta_inplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7501832Z   test_dispatch_meta_inplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7502038Z   test_dispatch_meta_inplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7502266Z   test_dispatch_meta_inplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7502465Z   test_dispatch_meta_inplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7502640Z   test_dispatch_meta_inplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7502837Z   test_dispatch_meta_inplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7503033Z   test_dispatch_meta_inplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7503236Z   test_dispatch_meta_inplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7503492Z   test_dispatch_meta_inplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7503692Z   test_dispatch_meta_inplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7503864Z   test_dispatch_meta_inplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7504034Z   test_dispatch_meta_inplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7504202Z   test_dispatch_meta_inplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7504347Z   test_dispatch_meta_inplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7504513Z   test_dispatch_meta_inplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7504678Z   test_dispatch_meta_inplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7504844Z   test_dispatch_meta_inplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7505022Z   test_dispatch_meta_inplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7505183Z   test_dispatch_meta_inplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7505353Z   test_dispatch_meta_inplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7505521Z   test_dispatch_meta_inplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7505690Z   test_dispatch_meta_inplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7505835Z   test_dispatch_meta_inplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7506043Z   test_dispatch_meta_inplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7506254Z   test_dispatch_meta_inplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7506460Z   test_dispatch_meta_inplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7506718Z   test_dispatch_meta_inplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7506922Z   test_dispatch_meta_inplace_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7507132Z   test_dispatch_meta_inplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7507339Z   test_dispatch_meta_inplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7507577Z   test_dispatch_meta_inplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7507760Z   test_dispatch_meta_inplace_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7507961Z   test_dispatch_meta_inplace_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7508185Z   test_dispatch_meta_inplace_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7508385Z   test_dispatch_meta_inplace_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7508598Z   test_dispatch_meta_inplace_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7508793Z   test_dispatch_meta_inplace_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7508996Z   test_dispatch_meta_inplace_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7509202Z   test_dispatch_meta_inplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7509415Z   test_dispatch_meta_inplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7509624Z   test_dispatch_meta_inplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7509817Z   test_dispatch_meta_inplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7510065Z   test_dispatch_meta_inplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7510346Z   test_dispatch_meta_inplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7510585Z   test_dispatch_meta_inplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7510793Z   test_dispatch_meta_inplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7511010Z   test_dispatch_meta_inplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7511215Z   test_dispatch_meta_inplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7511423Z   test_dispatch_meta_inplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7511628Z   test_dispatch_meta_inplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7511835Z   test_dispatch_meta_inplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7512024Z   test_dispatch_meta_inplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7512228Z   test_dispatch_meta_inplace_gather_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7512455Z   test_dispatch_meta_inplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7512678Z   test_dispatch_meta_inplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7512885Z   test_dispatch_meta_inplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7513091Z   test_dispatch_meta_inplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7513329Z   test_dispatch_meta_inplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7513574Z   test_dispatch_meta_inplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7513802Z   test_dispatch_meta_inplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7514006Z   test_dispatch_meta_inplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7514191Z   test_dispatch_meta_inplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7514414Z   test_dispatch_meta_inplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7514586Z   test_dispatch_meta_inplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.265s)
2022-11-23T01:45:55.7514757Z   test_dispatch_meta_inplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.257s)
2022-11-23T01:45:55.7514919Z   test_dispatch_meta_inplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.278s)
2022-11-23T01:45:55.7515084Z   test_dispatch_meta_inplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.261s)
2022-11-23T01:45:55.7515250Z   test_dispatch_meta_inplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.252s)
2022-11-23T01:45:55.7515425Z   test_dispatch_meta_inplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7515571Z   test_dispatch_meta_inplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7515738Z   test_dispatch_meta_inplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7515919Z   test_dispatch_meta_inplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516080Z   test_dispatch_meta_inplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516247Z   test_dispatch_meta_inplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516405Z   test_dispatch_meta_inplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516611Z   test_dispatch_meta_inplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516791Z   test_dispatch_meta_inplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7516955Z   test_dispatch_meta_inplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7517145Z   test_dispatch_meta_inplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7517353Z   test_dispatch_meta_inplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7517573Z   test_dispatch_meta_inplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7517782Z   test_dispatch_meta_inplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7517993Z   test_dispatch_meta_inplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7518206Z   test_dispatch_meta_inplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7518426Z   test_dispatch_meta_inplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7518631Z   test_dispatch_meta_inplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7518838Z   test_dispatch_meta_inplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7519068Z   test_dispatch_meta_inplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7519255Z   test_dispatch_meta_inplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7519473Z   test_dispatch_meta_inplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7519693Z   test_dispatch_meta_inplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7519905Z   test_dispatch_meta_inplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7520157Z   test_dispatch_meta_inplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7520371Z   test_dispatch_meta_inplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7520581Z   test_dispatch_meta_inplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7520748Z   test_dispatch_meta_inplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7520913Z   test_dispatch_meta_inplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7521063Z   test_dispatch_meta_inplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7521239Z   test_dispatch_meta_inplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7521408Z   test_dispatch_meta_inplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7521574Z   test_dispatch_meta_inplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7521733Z   test_dispatch_meta_inplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7521895Z   test_dispatch_meta_inplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7522060Z   test_dispatch_meta_inplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7522229Z   test_dispatch_meta_inplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7522414Z   test_dispatch_meta_inplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7522620Z   test_dispatch_meta_inplace_half_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7522852Z   test_dispatch_meta_inplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7523061Z   test_dispatch_meta_inplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7523304Z   test_dispatch_meta_inplace_half_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7523510Z   test_dispatch_meta_inplace_half_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7523708Z   test_dispatch_meta_inplace_half_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7523908Z   test_dispatch_meta_inplace_half_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7524112Z   test_dispatch_meta_inplace_half_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7524321Z   test_dispatch_meta_inplace_half_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7524498Z   test_dispatch_meta_inplace_half_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7524711Z   test_dispatch_meta_inplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7524916Z   test_dispatch_meta_inplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.7525094Z   test_dispatch_meta_inplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7525269Z   test_dispatch_meta_inplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7525468Z   test_dispatch_meta_inplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7525650Z   test_dispatch_meta_inplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7525820Z   test_dispatch_meta_inplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7525991Z   test_dispatch_meta_inplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7526140Z   test_dispatch_meta_inplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7526322Z   test_dispatch_meta_inplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7526533Z   test_dispatch_meta_inplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7526738Z   test_dispatch_meta_inplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7526946Z   test_dispatch_meta_inplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7527157Z   test_dispatch_meta_inplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7527352Z   test_dispatch_meta_inplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7527558Z   test_dispatch_meta_inplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7527757Z   test_dispatch_meta_inplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7527949Z   test_dispatch_meta_inplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7528160Z   test_dispatch_meta_inplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7528377Z   test_dispatch_meta_inplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7528585Z   test_dispatch_meta_inplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7528803Z   test_dispatch_meta_inplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7529008Z   test_dispatch_meta_inplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7529214Z   test_dispatch_meta_inplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7529413Z   test_dispatch_meta_inplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7529617Z   test_dispatch_meta_inplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7529872Z   test_dispatch_meta_inplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7530050Z   test_dispatch_meta_inplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7530253Z   test_dispatch_meta_inplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7530460Z   test_dispatch_meta_inplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7530691Z   test_dispatch_meta_inplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7530896Z   test_dispatch_meta_inplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7531108Z   test_dispatch_meta_inplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7531336Z   test_dispatch_meta_inplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7531541Z   test_dispatch_meta_inplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7531770Z   test_dispatch_meta_inplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7531973Z   test_dispatch_meta_inplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7532156Z   test_dispatch_meta_inplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7532355Z   test_dispatch_meta_inplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7532559Z   test_dispatch_meta_inplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7532762Z   test_dispatch_meta_inplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7532964Z   test_dispatch_meta_inplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7533165Z   test_dispatch_meta_inplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7533413Z   test_dispatch_meta_inplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7533622Z   test_dispatch_meta_inplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7533792Z   test_dispatch_meta_inplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7533940Z   test_dispatch_meta_inplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7534111Z   test_dispatch_meta_inplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.233s)
2022-11-23T01:45:55.7534307Z   test_dispatch_meta_inplace_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7534476Z   test_dispatch_meta_inplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.233s)
2022-11-23T01:45:55.7534642Z   test_dispatch_meta_inplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.231s)
2022-11-23T01:45:55.7534808Z   test_dispatch_meta_inplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.263s)
2022-11-23T01:45:55.7535005Z   test_dispatch_meta_inplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7535215Z   test_dispatch_meta_inplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7535408Z   test_dispatch_meta_inplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7535587Z   test_dispatch_meta_inplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7535777Z   test_dispatch_meta_inplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7535948Z   test_dispatch_meta_inplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7536121Z   test_dispatch_meta_inplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7536299Z   test_dispatch_meta_inplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7536535Z   test_dispatch_meta_inplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7536746Z   test_dispatch_meta_inplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7536970Z   test_dispatch_meta_inplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7537201Z   test_dispatch_meta_inplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7537358Z   test_dispatch_meta_inplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7537530Z   test_dispatch_meta_inplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7537718Z   test_dispatch_meta_inplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7537895Z   test_dispatch_meta_inplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7538076Z   test_dispatch_meta_inplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7538252Z   test_dispatch_meta_inplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7538426Z   test_dispatch_meta_inplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7538615Z   test_dispatch_meta_inplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7538764Z   test_dispatch_meta_inplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.7539055Z   test_dispatch_meta_inplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7603120Z   test_dispatch_meta_inplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7603437Z   test_dispatch_meta_inplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7603644Z   test_dispatch_meta_inplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7603844Z   test_dispatch_meta_inplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604006Z   test_dispatch_meta_inplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604178Z   test_dispatch_meta_inplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604341Z   test_dispatch_meta_inplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604502Z   test_dispatch_meta_inplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604661Z   test_dispatch_meta_inplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604820Z   test_dispatch_meta_inplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7604972Z   test_dispatch_meta_inplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605135Z   test_dispatch_meta_inplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605287Z   test_dispatch_meta_inplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605442Z   test_dispatch_meta_inplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605601Z   test_dispatch_meta_inplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605760Z   test_dispatch_meta_inplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7605914Z   test_dispatch_meta_inplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7606076Z   test_dispatch_meta_inplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7606231Z   test_dispatch_meta_inplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7606653Z   test_dispatch_meta_inplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7606814Z   test_dispatch_meta_inplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7606964Z   test_dispatch_meta_inplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607173Z   test_dispatch_meta_inplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607322Z   test_dispatch_meta_inplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607470Z   test_dispatch_meta_inplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607624Z   test_dispatch_meta_inplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607779Z   test_dispatch_meta_inplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7607932Z   test_dispatch_meta_inplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7608089Z   test_dispatch_meta_inplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7608255Z   test_dispatch_meta_inplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7608415Z   test_dispatch_meta_inplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7608577Z   test_dispatch_meta_inplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7608732Z   test_dispatch_meta_inplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7608889Z   test_dispatch_meta_inplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609038Z   test_dispatch_meta_inplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609185Z   test_dispatch_meta_inplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609342Z   test_dispatch_meta_inplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609494Z   test_dispatch_meta_inplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609647Z   test_dispatch_meta_inplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609799Z   test_dispatch_meta_inplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7609963Z   test_dispatch_meta_inplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610123Z   test_dispatch_meta_inplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610281Z   test_dispatch_meta_inplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610442Z   test_dispatch_meta_inplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610596Z   test_dispatch_meta_inplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610750Z   test_dispatch_meta_inplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7610901Z   test_dispatch_meta_inplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7611058Z   test_dispatch_meta_inplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7611208Z   test_dispatch_meta_inplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.7611410Z   test_dispatch_meta_inplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7611604Z   test_dispatch_meta_inplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7611806Z   test_dispatch_meta_inplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7612035Z   test_dispatch_meta_inplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7612225Z   test_dispatch_meta_inplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7612445Z   test_dispatch_meta_inplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7612645Z   test_dispatch_meta_inplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7612842Z   test_dispatch_meta_inplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613036Z   test_dispatch_meta_inplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613228Z   test_dispatch_meta_inplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613421Z   test_dispatch_meta_inplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613613Z   test_dispatch_meta_inplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613806Z   test_dispatch_meta_inplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7613996Z   test_dispatch_meta_inplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7614186Z   test_dispatch_meta_inplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7614379Z   test_dispatch_meta_inplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7614570Z   test_dispatch_meta_inplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7614757Z   test_dispatch_meta_inplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7614942Z   test_dispatch_meta_inplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7615132Z   test_dispatch_meta_inplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7615315Z   test_dispatch_meta_inplace_int_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7615504Z   test_dispatch_meta_inplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7615694Z   test_dispatch_meta_inplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7615880Z   test_dispatch_meta_inplace_int_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7616063Z   test_dispatch_meta_inplace_int_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7616252Z   test_dispatch_meta_inplace_int_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7616436Z   test_dispatch_meta_inplace_int_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7616617Z   test_dispatch_meta_inplace_int_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7616802Z   test_dispatch_meta_inplace_int_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7617070Z   test_dispatch_meta_inplace_int_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7617254Z   test_dispatch_meta_inplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7617447Z   test_dispatch_meta_inplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7617658Z   test_dispatch_meta_inplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7617848Z   test_dispatch_meta_inplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7618039Z   test_dispatch_meta_inplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7618230Z   test_dispatch_meta_inplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7618423Z   test_dispatch_meta_inplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7618606Z   test_dispatch_meta_inplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7618930Z   test_dispatch_meta_inplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7619124Z   test_dispatch_meta_inplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7619306Z   test_dispatch_meta_inplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7619491Z   test_dispatch_meta_inplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7619680Z   test_dispatch_meta_inplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7619871Z   test_dispatch_meta_inplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7620056Z   test_dispatch_meta_inplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7620255Z   test_dispatch_meta_inplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7620447Z   test_dispatch_meta_inplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7620641Z   test_dispatch_meta_inplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7620833Z   test_dispatch_meta_inplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621024Z   test_dispatch_meta_inplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621209Z   test_dispatch_meta_inplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621394Z   test_dispatch_meta_inplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621582Z   test_dispatch_meta_inplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621759Z   test_dispatch_meta_inplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7621943Z   test_dispatch_meta_inplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7622132Z   test_dispatch_meta_inplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7622356Z   test_dispatch_meta_inplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7622544Z   test_dispatch_meta_inplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7622730Z   test_dispatch_meta_inplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7622945Z   test_dispatch_meta_inplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7623130Z   test_dispatch_meta_inplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7623315Z   test_dispatch_meta_inplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7623501Z   test_dispatch_meta_inplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7623680Z   test_dispatch_meta_inplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7623870Z   test_dispatch_meta_inplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624055Z   test_dispatch_meta_inplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624248Z   test_dispatch_meta_inplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624436Z   test_dispatch_meta_inplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624625Z   test_dispatch_meta_inplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624810Z   test_dispatch_meta_inplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7624998Z   test_dispatch_meta_inplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7625182Z   test_dispatch_meta_inplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7625370Z   test_dispatch_meta_inplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7625552Z   test_dispatch_meta_inplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7625737Z   test_dispatch_meta_inplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7625920Z   test_dispatch_meta_inplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7626103Z   test_dispatch_meta_inplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7626288Z   test_dispatch_meta_inplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7626468Z   test_dispatch_meta_inplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7626657Z   test_dispatch_meta_inplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7626844Z   test_dispatch_meta_inplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7627028Z   test_dispatch_meta_inplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7627217Z   test_dispatch_meta_inplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7627421Z   test_dispatch_meta_inplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7627607Z   test_dispatch_meta_inplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7627789Z   test_dispatch_meta_inplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628011Z   test_dispatch_meta_inplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628194Z   test_dispatch_meta_inplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628373Z   test_dispatch_meta_inplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628567Z   test_dispatch_meta_inplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628755Z   test_dispatch_meta_inplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7628945Z   test_dispatch_meta_inplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7629132Z   test_dispatch_meta_inplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7629320Z   test_dispatch_meta_inplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7629509Z   test_dispatch_meta_inplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7629696Z   test_dispatch_meta_inplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7629878Z   test_dispatch_meta_inplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7630065Z   test_dispatch_meta_inplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7630311Z   test_dispatch_meta_inplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7630531Z   test_dispatch_meta_inplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7630718Z   test_dispatch_meta_inplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7630902Z   test_dispatch_meta_inplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7631084Z   test_dispatch_meta_inplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7631270Z   test_dispatch_meta_inplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7631451Z   test_dispatch_meta_inplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7631635Z   test_dispatch_meta_inplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7631818Z   test_dispatch_meta_inplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632001Z   test_dispatch_meta_inplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632183Z   test_dispatch_meta_inplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632374Z   test_dispatch_meta_inplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632591Z   test_dispatch_meta_inplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632784Z   test_dispatch_meta_inplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7632967Z   test_dispatch_meta_inplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7633181Z   test_dispatch_meta_inplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7633364Z   test_dispatch_meta_inplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7633547Z   test_dispatch_meta_inplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7633727Z   test_dispatch_meta_inplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7633915Z   test_dispatch_meta_inplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7634102Z   test_dispatch_meta_inplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7634291Z   test_dispatch_meta_inplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7634479Z   test_dispatch_meta_inplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7634661Z   test_dispatch_meta_inplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7634848Z   test_dispatch_meta_inplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7635038Z   test_dispatch_meta_inplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7635245Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7635452Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7635670Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7635878Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7636086Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7636299Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7636508Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7636713Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7636921Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7637117Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7637321Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7637566Z   test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7637785Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7637998Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7638235Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7638452Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7638663Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7638878Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7639089Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7639301Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7639500Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7639700Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7639906Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7640110Z   test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7640310Z   test_dispatch_meta_inplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7640513Z   test_dispatch_meta_inplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7640716Z   test_dispatch_meta_inplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7640918Z   test_dispatch_meta_inplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7641115Z   test_dispatch_meta_inplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7641310Z   test_dispatch_meta_inplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7641496Z   test_dispatch_meta_inplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7641693Z   test_dispatch_meta_inplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7641884Z   test_dispatch_meta_inplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7642073Z   test_dispatch_meta_inplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7642269Z   test_dispatch_meta_inplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7642480Z   test_dispatch_meta_inplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7642693Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7642901Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7643143Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7643355Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7643562Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7643763Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7643964Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7644171Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7644380Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7644586Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7644792Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7644998Z   test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7645197Z   test_dispatch_meta_inplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7645397Z   test_dispatch_meta_inplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7645598Z   test_dispatch_meta_inplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7645799Z   test_dispatch_meta_inplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7645993Z   test_dispatch_meta_inplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7646185Z   test_dispatch_meta_inplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7646372Z   test_dispatch_meta_inplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7646565Z   test_dispatch_meta_inplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7646755Z   test_dispatch_meta_inplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7646941Z   test_dispatch_meta_inplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7647131Z   test_dispatch_meta_inplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7647326Z   test_dispatch_meta_inplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7647535Z   test_dispatch_meta_inplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7647723Z   test_dispatch_meta_inplace_kron_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7647931Z   test_dispatch_meta_inplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7648120Z   test_dispatch_meta_inplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7648304Z   test_dispatch_meta_inplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7648488Z   test_dispatch_meta_inplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7648675Z   test_dispatch_meta_inplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7648860Z   test_dispatch_meta_inplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649042Z   test_dispatch_meta_inplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649229Z   test_dispatch_meta_inplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649410Z   test_dispatch_meta_inplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649591Z   test_dispatch_meta_inplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649777Z   test_dispatch_meta_inplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7649970Z   test_dispatch_meta_inplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7650153Z   test_dispatch_meta_inplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7650340Z   test_dispatch_meta_inplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7650531Z   test_dispatch_meta_inplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7650710Z   test_dispatch_meta_inplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7650895Z   test_dispatch_meta_inplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7651074Z   test_dispatch_meta_inplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7651225Z   test_dispatch_meta_inplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.289s)
2022-11-23T01:45:55.7651364Z   test_dispatch_meta_inplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.279s)
2022-11-23T01:45:55.7651504Z   test_dispatch_meta_inplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.316s)
2022-11-23T01:45:55.7651652Z   test_dispatch_meta_inplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.289s)
2022-11-23T01:45:55.7651792Z   test_dispatch_meta_inplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.279s)
2022-11-23T01:45:55.7651946Z   test_dispatch_meta_inplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7652129Z   test_dispatch_meta_inplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:55.7652287Z   test_dispatch_meta_inplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7652441Z   test_dispatch_meta_inplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7652620Z   test_dispatch_meta_inplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.7652769Z   test_dispatch_meta_inplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7652921Z   test_dispatch_meta_inplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7653124Z   test_dispatch_meta_inplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:55.7653300Z   test_dispatch_meta_inplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:55.7653473Z   test_dispatch_meta_inplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:55.7653650Z   test_dispatch_meta_inplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.013s)
2022-11-23T01:45:55.7653832Z   test_dispatch_meta_inplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.013s)
2022-11-23T01:45:55.7653981Z   test_dispatch_meta_inplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654128Z   test_dispatch_meta_inplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654276Z   test_dispatch_meta_inplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654420Z   test_dispatch_meta_inplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654563Z   test_dispatch_meta_inplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654710Z   test_dispatch_meta_inplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654851Z   test_dispatch_meta_inplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7654991Z   test_dispatch_meta_inplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7655138Z   test_dispatch_meta_inplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7655286Z   test_dispatch_meta_inplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7655434Z   test_dispatch_meta_inplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7655592Z   test_dispatch_meta_inplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.7655747Z   test_dispatch_meta_inplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.7655900Z   test_dispatch_meta_inplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7656051Z   test_dispatch_meta_inplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7656199Z   test_dispatch_meta_inplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7656383Z   test_dispatch_meta_inplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7656536Z   test_dispatch_meta_inplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.261s)
2022-11-23T01:45:55.7656684Z   test_dispatch_meta_inplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.257s)
2022-11-23T01:45:55.7656837Z   test_dispatch_meta_inplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.265s)
2022-11-23T01:45:55.7657025Z   test_dispatch_meta_inplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7657201Z   test_dispatch_meta_inplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7657374Z   test_dispatch_meta_inplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7657554Z   test_dispatch_meta_inplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7657754Z   test_dispatch_meta_inplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7657961Z   test_dispatch_meta_inplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7658163Z   test_dispatch_meta_inplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7658386Z   test_dispatch_meta_inplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7658575Z   test_dispatch_meta_inplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7658777Z   test_dispatch_meta_inplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7659199Z   test_dispatch_meta_inplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7659402Z   test_dispatch_meta_inplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7659601Z   test_dispatch_meta_inplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7659803Z   test_dispatch_meta_inplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7659999Z   test_dispatch_meta_inplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7660190Z   test_dispatch_meta_inplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7660384Z   test_dispatch_meta_inplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7660587Z   test_dispatch_meta_inplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7660778Z   test_dispatch_meta_inplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7660974Z   test_dispatch_meta_inplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7661167Z   test_dispatch_meta_inplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7661360Z   test_dispatch_meta_inplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7661551Z   test_dispatch_meta_inplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7661742Z   test_dispatch_meta_inplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7661935Z   test_dispatch_meta_inplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7662127Z   test_dispatch_meta_inplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7662324Z   test_dispatch_meta_inplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7662523Z   test_dispatch_meta_inplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7662711Z   test_dispatch_meta_inplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7662899Z   test_dispatch_meta_inplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7663136Z   test_dispatch_meta_inplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7663367Z   test_dispatch_meta_inplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7663630Z   test_dispatch_meta_inplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7663831Z   test_dispatch_meta_inplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664031Z   test_dispatch_meta_inplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664226Z   test_dispatch_meta_inplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664422Z   test_dispatch_meta_inplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664610Z   test_dispatch_meta_inplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664798Z   test_dispatch_meta_inplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7664995Z   test_dispatch_meta_inplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7665190Z   test_dispatch_meta_inplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7665381Z   test_dispatch_meta_inplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7665576Z   test_dispatch_meta_inplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7665781Z   test_dispatch_meta_inplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7665979Z   test_dispatch_meta_inplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7666176Z   test_dispatch_meta_inplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7666366Z   test_dispatch_meta_inplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7666564Z   test_dispatch_meta_inplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7666765Z   test_dispatch_meta_inplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7666961Z   test_dispatch_meta_inplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7667150Z   test_dispatch_meta_inplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7667368Z   test_dispatch_meta_inplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7667577Z   test_dispatch_meta_inplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7667785Z   test_dispatch_meta_inplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7667992Z   test_dispatch_meta_inplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7668213Z   test_dispatch_meta_inplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7668406Z   test_dispatch_meta_inplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7668622Z   test_dispatch_meta_inplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7668811Z   test_dispatch_meta_inplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669003Z   test_dispatch_meta_inplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669201Z   test_dispatch_meta_inplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669396Z   test_dispatch_meta_inplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669583Z   test_dispatch_meta_inplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669784Z   test_dispatch_meta_inplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7669987Z   test_dispatch_meta_inplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7670185Z   test_dispatch_meta_inplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7670454Z   test_dispatch_meta_inplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7670681Z   test_dispatch_meta_inplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7670883Z   test_dispatch_meta_inplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7671079Z   test_dispatch_meta_inplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7671278Z   test_dispatch_meta_inplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7671478Z   test_dispatch_meta_inplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7671681Z   test_dispatch_meta_inplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7671875Z   test_dispatch_meta_inplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7672064Z   test_dispatch_meta_inplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7672257Z   test_dispatch_meta_inplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7672454Z   test_dispatch_meta_inplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7672645Z   test_dispatch_meta_inplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7672837Z   test_dispatch_meta_inplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7673051Z   test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7673294Z   test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7673530Z   test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7673781Z   test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7673996Z   test_dispatch_meta_inplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7674213Z   test_dispatch_meta_inplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7674425Z   test_dispatch_meta_inplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7674638Z   test_dispatch_meta_inplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7674863Z   test_dispatch_meta_inplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7675086Z   test_dispatch_meta_inplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7675310Z   test_dispatch_meta_inplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7675525Z   test_dispatch_meta_inplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7675749Z   test_dispatch_meta_inplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7675976Z   test_dispatch_meta_inplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7676196Z   test_dispatch_meta_inplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7676416Z   test_dispatch_meta_inplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7676639Z   test_dispatch_meta_inplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7676860Z   test_dispatch_meta_inplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7677077Z   test_dispatch_meta_inplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7677287Z   test_dispatch_meta_inplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7677508Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7677733Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7677955Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7678173Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7678392Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7678610Z   test_dispatch_meta_inplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7678859Z   test_dispatch_meta_inplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7679084Z   test_dispatch_meta_inplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7679325Z   test_dispatch_meta_inplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7679543Z   test_dispatch_meta_inplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7679763Z   test_dispatch_meta_inplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7679981Z   test_dispatch_meta_inplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7680200Z   test_dispatch_meta_inplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7680411Z   test_dispatch_meta_inplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7680653Z   test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7680888Z   test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7681120Z   test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7681351Z   test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7681574Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7681797Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7682021Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7682238Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7682451Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7682655Z   test_dispatch_meta_inplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7682868Z   test_dispatch_meta_inplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7683085Z   test_dispatch_meta_inplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7683300Z   test_dispatch_meta_inplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7683514Z   test_dispatch_meta_inplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7683725Z   test_dispatch_meta_inplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7683939Z   test_dispatch_meta_inplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7684207Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7684454Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7684695Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7684962Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7685190Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7685417Z   test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7685637Z   test_dispatch_meta_inplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7685853Z   test_dispatch_meta_inplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7686063Z   test_dispatch_meta_inplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7686274Z   test_dispatch_meta_inplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7686506Z   test_dispatch_meta_inplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7686736Z   test_dispatch_meta_inplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7686966Z   test_dispatch_meta_inplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7687191Z   test_dispatch_meta_inplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7687431Z   test_dispatch_meta_inplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.7687665Z   test_dispatch_meta_inplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.7687892Z   test_dispatch_meta_inplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.7688110Z   test_dispatch_meta_inplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.7688306Z   test_dispatch_meta_inplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7688500Z   test_dispatch_meta_inplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7688694Z   test_dispatch_meta_inplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7688887Z   test_dispatch_meta_inplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7689091Z   test_dispatch_meta_inplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7689291Z   test_dispatch_meta_inplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7689513Z   test_dispatch_meta_inplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7689700Z   test_dispatch_meta_inplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7689899Z   test_dispatch_meta_inplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7690111Z   test_dispatch_meta_inplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7690302Z   test_dispatch_meta_inplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7690490Z   test_dispatch_meta_inplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7690690Z   test_dispatch_meta_inplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7690887Z   test_dispatch_meta_inplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7691080Z   test_dispatch_meta_inplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7691272Z   test_dispatch_meta_inplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7691482Z   test_dispatch_meta_inplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7691690Z   test_dispatch_meta_inplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7691892Z   test_dispatch_meta_inplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7692098Z   test_dispatch_meta_inplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7692292Z   test_dispatch_meta_inplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7692488Z   test_dispatch_meta_inplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7692678Z   test_dispatch_meta_inplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7692868Z   test_dispatch_meta_inplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7693067Z   test_dispatch_meta_inplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7693266Z   test_dispatch_meta_inplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7693485Z   test_dispatch_meta_inplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7693697Z   test_dispatch_meta_inplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7693898Z   test_dispatch_meta_inplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7694103Z   test_dispatch_meta_inplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7694301Z   test_dispatch_meta_inplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7694519Z   test_dispatch_meta_inplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7694723Z   test_dispatch_meta_inplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7694924Z   test_dispatch_meta_inplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7695193Z   test_dispatch_meta_inplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7695391Z   test_dispatch_meta_inplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7695590Z   test_dispatch_meta_inplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7695788Z   test_dispatch_meta_inplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7695981Z   test_dispatch_meta_inplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7696170Z   test_dispatch_meta_inplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7696366Z   test_dispatch_meta_inplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7696560Z   test_dispatch_meta_inplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7696752Z   test_dispatch_meta_inplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7696945Z   test_dispatch_meta_inplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7697138Z   test_dispatch_meta_inplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7697335Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7697535Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7697734Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7697925Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7698113Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7698303Z   test_dispatch_meta_inplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7698507Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7698711Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7699050Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7699256Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7699455Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7699659Z   test_dispatch_meta_inplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7699899Z   test_dispatch_meta_inplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7700098Z   test_dispatch_meta_inplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7700314Z   test_dispatch_meta_inplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7700509Z   test_dispatch_meta_inplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7700702Z   test_dispatch_meta_inplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7700892Z   test_dispatch_meta_inplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701086Z   test_dispatch_meta_inplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701276Z   test_dispatch_meta_inplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701458Z   test_dispatch_meta_inplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701649Z   test_dispatch_meta_inplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701833Z   test_dispatch_meta_inplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7701985Z   test_dispatch_meta_inplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7702161Z   test_dispatch_meta_inplace_log10_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7702321Z   test_dispatch_meta_inplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.284s)
2022-11-23T01:45:55.7702476Z   test_dispatch_meta_inplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.245s)
2022-11-23T01:45:55.7702628Z   test_dispatch_meta_inplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7702784Z   test_dispatch_meta_inplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7702936Z   test_dispatch_meta_inplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7703119Z   test_dispatch_meta_inplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7703294Z   test_dispatch_meta_inplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7703463Z   test_dispatch_meta_inplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7703643Z   test_dispatch_meta_inplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7703821Z   test_dispatch_meta_inplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7703975Z   test_dispatch_meta_inplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7704157Z   test_dispatch_meta_inplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7704305Z   test_dispatch_meta_inplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7704460Z   test_dispatch_meta_inplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7704608Z   test_dispatch_meta_inplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7704790Z   test_dispatch_meta_inplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7704986Z   test_dispatch_meta_inplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7705162Z   test_dispatch_meta_inplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7705343Z   test_dispatch_meta_inplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7705541Z   test_dispatch_meta_inplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7705690Z   test_dispatch_meta_inplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7705869Z   test_dispatch_meta_inplace_log2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7706022Z   test_dispatch_meta_inplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.282s)
2022-11-23T01:45:55.7706175Z   test_dispatch_meta_inplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.245s)
2022-11-23T01:45:55.7706330Z   test_dispatch_meta_inplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7706475Z   test_dispatch_meta_inplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7706627Z   test_dispatch_meta_inplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7706806Z   test_dispatch_meta_inplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7706981Z   test_dispatch_meta_inplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7707158Z   test_dispatch_meta_inplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7707340Z   test_dispatch_meta_inplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7707515Z   test_dispatch_meta_inplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7707664Z   test_dispatch_meta_inplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7707843Z   test_dispatch_meta_inplace_log_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7707997Z   test_dispatch_meta_inplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.263s)
2022-11-23T01:45:55.7708148Z   test_dispatch_meta_inplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.233s)
2022-11-23T01:45:55.7708299Z   test_dispatch_meta_inplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.230s)
2022-11-23T01:45:55.7708448Z   test_dispatch_meta_inplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7708594Z   test_dispatch_meta_inplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7708736Z   test_dispatch_meta_inplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7708921Z   test_dispatch_meta_inplace_log_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7709100Z   test_dispatch_meta_inplace_log_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7709276Z   test_dispatch_meta_inplace_log_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7709455Z   test_dispatch_meta_inplace_log_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7709628Z   test_dispatch_meta_inplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7709821Z   test_dispatch_meta_inplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7710019Z   test_dispatch_meta_inplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7710300Z   test_dispatch_meta_inplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7710515Z   test_dispatch_meta_inplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7710749Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7710954Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7711162Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7711366Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7711569Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7711770Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7711972Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7712169Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7712368Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7712571Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7712771Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7712976Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7713174Z   test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7713374Z   test_dispatch_meta_inplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7713573Z   test_dispatch_meta_inplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7713764Z   test_dispatch_meta_inplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7713963Z   test_dispatch_meta_inplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7714157Z   test_dispatch_meta_inplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7714352Z   test_dispatch_meta_inplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7714560Z   test_dispatch_meta_inplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7714757Z   test_dispatch_meta_inplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7714958Z   test_dispatch_meta_inplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7715155Z   test_dispatch_meta_inplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7715371Z   test_dispatch_meta_inplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7715566Z   test_dispatch_meta_inplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7715749Z   test_dispatch_meta_inplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7715964Z   test_dispatch_meta_inplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7716127Z   test_dispatch_meta_inplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7716289Z   test_dispatch_meta_inplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7716458Z   test_dispatch_meta_inplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.259s)
2022-11-23T01:45:55.7716625Z   test_dispatch_meta_inplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.262s)
2022-11-23T01:45:55.7716787Z   test_dispatch_meta_inplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7716948Z   test_dispatch_meta_inplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717106Z   test_dispatch_meta_inplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717259Z   test_dispatch_meta_inplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717417Z   test_dispatch_meta_inplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717572Z   test_dispatch_meta_inplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717726Z   test_dispatch_meta_inplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7717879Z   test_dispatch_meta_inplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7718045Z   test_dispatch_meta_inplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7718204Z   test_dispatch_meta_inplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7718371Z   test_dispatch_meta_inplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7718531Z   test_dispatch_meta_inplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7718690Z   test_dispatch_meta_inplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7718847Z   test_dispatch_meta_inplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719003Z   test_dispatch_meta_inplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719162Z   test_dispatch_meta_inplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719317Z   test_dispatch_meta_inplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719470Z   test_dispatch_meta_inplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719627Z   test_dispatch_meta_inplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719785Z   test_dispatch_meta_inplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7719936Z   test_dispatch_meta_inplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7720093Z   test_dispatch_meta_inplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7720254Z   test_dispatch_meta_inplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.258s)
2022-11-23T01:45:55.7720419Z   test_dispatch_meta_inplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.265s)
2022-11-23T01:45:55.7720579Z   test_dispatch_meta_inplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7720765Z   test_dispatch_meta_inplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7720920Z   test_dispatch_meta_inplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721077Z   test_dispatch_meta_inplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721248Z   test_dispatch_meta_inplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721398Z   test_dispatch_meta_inplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721553Z   test_dispatch_meta_inplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721711Z   test_dispatch_meta_inplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7721874Z   test_dispatch_meta_inplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7722029Z   test_dispatch_meta_inplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7722196Z   test_dispatch_meta_inplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.258s)
2022-11-23T01:45:55.7722363Z   test_dispatch_meta_inplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.261s)
2022-11-23T01:45:55.7722526Z   test_dispatch_meta_inplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7722678Z   test_dispatch_meta_inplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7722832Z   test_dispatch_meta_inplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7722990Z   test_dispatch_meta_inplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7723149Z   test_dispatch_meta_inplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7723303Z   test_dispatch_meta_inplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7723455Z   test_dispatch_meta_inplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7723606Z   test_dispatch_meta_inplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7723766Z   test_dispatch_meta_inplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7723945Z   test_dispatch_meta_inplace_logit_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7724100Z   test_dispatch_meta_inplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7724254Z   test_dispatch_meta_inplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7724408Z   test_dispatch_meta_inplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7724592Z   test_dispatch_meta_inplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7724773Z   test_dispatch_meta_inplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7724951Z   test_dispatch_meta_inplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7725132Z   test_dispatch_meta_inplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7725315Z   test_dispatch_meta_inplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.7725504Z   test_dispatch_meta_inplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7725707Z   test_dispatch_meta_inplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7725927Z   test_dispatch_meta_inplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7726122Z   test_dispatch_meta_inplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7726315Z   test_dispatch_meta_inplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7726524Z   test_dispatch_meta_inplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7726718Z   test_dispatch_meta_inplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7726904Z   test_dispatch_meta_inplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7727097Z   test_dispatch_meta_inplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7727290Z   test_dispatch_meta_inplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7727474Z   test_dispatch_meta_inplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7727667Z   test_dispatch_meta_inplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7727860Z   test_dispatch_meta_inplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7728055Z   test_dispatch_meta_inplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7728250Z   test_dispatch_meta_inplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7728443Z   test_dispatch_meta_inplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7728638Z   test_dispatch_meta_inplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7728830Z   test_dispatch_meta_inplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729020Z   test_dispatch_meta_inplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729206Z   test_dispatch_meta_inplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729386Z   test_dispatch_meta_inplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729576Z   test_dispatch_meta_inplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729765Z   test_dispatch_meta_inplace_long_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7729960Z   test_dispatch_meta_inplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7730148Z   test_dispatch_meta_inplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7730339Z   test_dispatch_meta_inplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7730526Z   test_dispatch_meta_inplace_long_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7730710Z   test_dispatch_meta_inplace_long_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7730896Z   test_dispatch_meta_inplace_long_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7731105Z   test_dispatch_meta_inplace_long_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7731286Z   test_dispatch_meta_inplace_long_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7731472Z   test_dispatch_meta_inplace_long_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7731684Z   test_dispatch_meta_inplace_long_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7731871Z   test_dispatch_meta_inplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7732023Z   test_dispatch_meta_inplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732172Z   test_dispatch_meta_inplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732329Z   test_dispatch_meta_inplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732477Z   test_dispatch_meta_inplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732621Z   test_dispatch_meta_inplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732764Z   test_dispatch_meta_inplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7732911Z   test_dispatch_meta_inplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7733055Z   test_dispatch_meta_inplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7733202Z   test_dispatch_meta_inplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7733352Z   test_dispatch_meta_inplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7733545Z   test_dispatch_meta_inplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7733739Z   test_dispatch_meta_inplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7733922Z   test_dispatch_meta_inplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7734106Z   test_dispatch_meta_inplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7734302Z   test_dispatch_meta_inplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7734497Z   test_dispatch_meta_inplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7734688Z   test_dispatch_meta_inplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7734880Z   test_dispatch_meta_inplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7735082Z   test_dispatch_meta_inplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7735281Z   test_dispatch_meta_inplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7735477Z   test_dispatch_meta_inplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7735670Z   test_dispatch_meta_inplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7735858Z   test_dispatch_meta_inplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7736041Z   test_dispatch_meta_inplace_mH_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7736223Z   test_dispatch_meta_inplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7736434Z   test_dispatch_meta_inplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7736625Z   test_dispatch_meta_inplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7736829Z   test_dispatch_meta_inplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737016Z   test_dispatch_meta_inplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737200Z   test_dispatch_meta_inplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737384Z   test_dispatch_meta_inplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737561Z   test_dispatch_meta_inplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737736Z   test_dispatch_meta_inplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7737914Z   test_dispatch_meta_inplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7738091Z   test_dispatch_meta_inplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7738279Z   test_dispatch_meta_inplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7738461Z   test_dispatch_meta_inplace_mT_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7738646Z   test_dispatch_meta_inplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7738944Z   test_dispatch_meta_inplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7739131Z   test_dispatch_meta_inplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7739311Z   test_dispatch_meta_inplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7739499Z   test_dispatch_meta_inplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7739682Z   test_dispatch_meta_inplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7739853Z   test_dispatch_meta_inplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740026Z   test_dispatch_meta_inplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740201Z   test_dispatch_meta_inplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740381Z   test_dispatch_meta_inplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740564Z   test_dispatch_meta_inplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740762Z   test_dispatch_meta_inplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7740959Z   test_dispatch_meta_inplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7741154Z   test_dispatch_meta_inplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7741349Z   test_dispatch_meta_inplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7741582Z   test_dispatch_meta_inplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7741771Z   test_dispatch_meta_inplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7741988Z   test_dispatch_meta_inplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7742181Z   test_dispatch_meta_inplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7742366Z   test_dispatch_meta_inplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7742560Z   test_dispatch_meta_inplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7742751Z   test_dispatch_meta_inplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7742945Z   test_dispatch_meta_inplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7743138Z   test_dispatch_meta_inplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7743328Z   test_dispatch_meta_inplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7743520Z   test_dispatch_meta_inplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7743704Z   test_dispatch_meta_inplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7743894Z   test_dispatch_meta_inplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7744084Z   test_dispatch_meta_inplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7744284Z   test_dispatch_meta_inplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7744477Z   test_dispatch_meta_inplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7744670Z   test_dispatch_meta_inplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7744856Z   test_dispatch_meta_inplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7745050Z   test_dispatch_meta_inplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7745244Z   test_dispatch_meta_inplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7745437Z   test_dispatch_meta_inplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7745627Z   test_dispatch_meta_inplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7745816Z   test_dispatch_meta_inplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7746015Z   test_dispatch_meta_inplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7746208Z   test_dispatch_meta_inplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7746401Z   test_dispatch_meta_inplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7746627Z   test_dispatch_meta_inplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7746821Z   test_dispatch_meta_inplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7747036Z   test_dispatch_meta_inplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7747227Z   test_dispatch_meta_inplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7747419Z   test_dispatch_meta_inplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7747603Z   test_dispatch_meta_inplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7747808Z   test_dispatch_meta_inplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7748012Z   test_dispatch_meta_inplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7748215Z   test_dispatch_meta_inplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7748418Z   test_dispatch_meta_inplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7748610Z   test_dispatch_meta_inplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7748807Z   test_dispatch_meta_inplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749000Z   test_dispatch_meta_inplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749200Z   test_dispatch_meta_inplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749394Z   test_dispatch_meta_inplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749581Z   test_dispatch_meta_inplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749774Z   test_dispatch_meta_inplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7749974Z   test_dispatch_meta_inplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7750175Z   test_dispatch_meta_inplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7750450Z   test_dispatch_meta_inplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7750648Z   test_dispatch_meta_inplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7750837Z   test_dispatch_meta_inplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7751029Z   test_dispatch_meta_inplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7751220Z   test_dispatch_meta_inplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7751414Z   test_dispatch_meta_inplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7751623Z   test_dispatch_meta_inplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7751817Z   test_dispatch_meta_inplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7752006Z   test_dispatch_meta_inplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7752195Z   test_dispatch_meta_inplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7752353Z   test_dispatch_meta_inplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7752520Z   test_dispatch_meta_inplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7752686Z   test_dispatch_meta_inplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7752850Z   test_dispatch_meta_inplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7753017Z   test_dispatch_meta_inplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7753170Z   test_dispatch_meta_inplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7753326Z   test_dispatch_meta_inplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7753491Z   test_dispatch_meta_inplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7753671Z   test_dispatch_meta_inplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7753843Z   test_dispatch_meta_inplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7754000Z   test_dispatch_meta_inplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7754153Z   test_dispatch_meta_inplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7754360Z   test_dispatch_meta_inplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7754565Z   test_dispatch_meta_inplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7754762Z   test_dispatch_meta_inplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7754966Z   test_dispatch_meta_inplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7755172Z   test_dispatch_meta_inplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7755371Z   test_dispatch_meta_inplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7755565Z   test_dispatch_meta_inplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7755769Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7755968Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7756165Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7756354Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7756551Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7756740Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7756951Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7757153Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7757366Z   test_dispatch_meta_inplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7757561Z   test_dispatch_meta_inplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7757753Z   test_dispatch_meta_inplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7757948Z   test_dispatch_meta_inplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7758145Z   test_dispatch_meta_inplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7758339Z   test_dispatch_meta_inplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7758534Z   test_dispatch_meta_inplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7758732Z   test_dispatch_meta_inplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7758918Z   test_dispatch_meta_inplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7759109Z   test_dispatch_meta_inplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7759301Z   test_dispatch_meta_inplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7759495Z   test_dispatch_meta_inplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7759684Z   test_dispatch_meta_inplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7759883Z   test_dispatch_meta_inplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7760072Z   test_dispatch_meta_inplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7760258Z   test_dispatch_meta_inplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7760450Z   test_dispatch_meta_inplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7760642Z   test_dispatch_meta_inplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7760830Z   test_dispatch_meta_inplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7761023Z   test_dispatch_meta_inplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7761227Z   test_dispatch_meta_inplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7761433Z   test_dispatch_meta_inplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7761633Z   test_dispatch_meta_inplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7761835Z   test_dispatch_meta_inplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7762050Z   test_dispatch_meta_inplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7762242Z   test_dispatch_meta_inplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7762458Z   test_dispatch_meta_inplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7762651Z   test_dispatch_meta_inplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7762847Z   test_dispatch_meta_inplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7763042Z   test_dispatch_meta_inplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7763238Z   test_dispatch_meta_inplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7763429Z   test_dispatch_meta_inplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7763622Z   test_dispatch_meta_inplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7763813Z   test_dispatch_meta_inplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7764006Z   test_dispatch_meta_inplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7764197Z   test_dispatch_meta_inplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7764389Z   test_dispatch_meta_inplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7764579Z   test_dispatch_meta_inplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7764740Z   test_dispatch_meta_inplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7764907Z   test_dispatch_meta_inplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765078Z   test_dispatch_meta_inplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765248Z   test_dispatch_meta_inplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765411Z   test_dispatch_meta_inplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765574Z   test_dispatch_meta_inplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765738Z   test_dispatch_meta_inplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7765900Z   test_dispatch_meta_inplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7766060Z   test_dispatch_meta_inplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7766216Z   test_dispatch_meta_inplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7766376Z   test_dispatch_meta_inplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7766532Z   test_dispatch_meta_inplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7766732Z   test_dispatch_meta_inplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7766925Z   test_dispatch_meta_inplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7767150Z   test_dispatch_meta_inplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7767350Z   test_dispatch_meta_inplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7767572Z   test_dispatch_meta_inplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7767761Z   test_dispatch_meta_inplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7767950Z   test_dispatch_meta_inplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7768139Z   test_dispatch_meta_inplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7768335Z   test_dispatch_meta_inplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7768529Z   test_dispatch_meta_inplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7768718Z   test_dispatch_meta_inplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7768913Z   test_dispatch_meta_inplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7769111Z   test_dispatch_meta_inplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7769309Z   test_dispatch_meta_inplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7769501Z   test_dispatch_meta_inplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7769689Z   test_dispatch_meta_inplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7769884Z   test_dispatch_meta_inplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7770068Z   test_dispatch_meta_inplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7770255Z   test_dispatch_meta_inplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7770442Z   test_dispatch_meta_inplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7770634Z   test_dispatch_meta_inplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7770832Z   test_dispatch_meta_inplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771029Z   test_dispatch_meta_inplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771221Z   test_dispatch_meta_inplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771418Z   test_dispatch_meta_inplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771610Z   test_dispatch_meta_inplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771799Z   test_dispatch_meta_inplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7771983Z   test_dispatch_meta_inplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7772192Z   test_dispatch_meta_inplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7772386Z   test_dispatch_meta_inplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7772593Z   test_dispatch_meta_inplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7772782Z   test_dispatch_meta_inplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7772971Z   test_dispatch_meta_inplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7773167Z   test_dispatch_meta_inplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7773365Z   test_dispatch_meta_inplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7773554Z   test_dispatch_meta_inplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7773744Z   test_dispatch_meta_inplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7773935Z   test_dispatch_meta_inplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7774124Z   test_dispatch_meta_inplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7774314Z   test_dispatch_meta_inplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7774496Z   test_dispatch_meta_inplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7774687Z   test_dispatch_meta_inplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7774871Z   test_dispatch_meta_inplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7775068Z   test_dispatch_meta_inplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7775264Z   test_dispatch_meta_inplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7775460Z   test_dispatch_meta_inplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7775650Z   test_dispatch_meta_inplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7775837Z   test_dispatch_meta_inplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776026Z   test_dispatch_meta_inplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776212Z   test_dispatch_meta_inplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776402Z   test_dispatch_meta_inplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776584Z   test_dispatch_meta_inplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776773Z   test_dispatch_meta_inplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7776956Z   test_dispatch_meta_inplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7777214Z   test_dispatch_meta_inplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7777411Z   test_dispatch_meta_inplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7777599Z   test_dispatch_meta_inplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7777806Z   test_dispatch_meta_inplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7777994Z   test_dispatch_meta_inplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7778178Z   test_dispatch_meta_inplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7778375Z   test_dispatch_meta_inplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7778576Z   test_dispatch_meta_inplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7778910Z   test_dispatch_meta_inplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7779175Z   test_dispatch_meta_inplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7779404Z   test_dispatch_meta_inplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7779597Z   test_dispatch_meta_inplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7779793Z   test_dispatch_meta_inplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7779982Z   test_dispatch_meta_inplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7780171Z   test_dispatch_meta_inplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7780364Z   test_dispatch_meta_inplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7780555Z   test_dispatch_meta_inplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7780745Z   test_dispatch_meta_inplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7780934Z   test_dispatch_meta_inplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7781121Z   test_dispatch_meta_inplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7781311Z   test_dispatch_meta_inplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7781494Z   test_dispatch_meta_inplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7781713Z   test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7781923Z   test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7782134Z   test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7782337Z   test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7782617Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7782824Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7783054Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7783255Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7783458Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7783657Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7783863Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7784064Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7784262Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7784458Z   test_dispatch_meta_inplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7784670Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7784872Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7785075Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7785279Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7785479Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7785680Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7785877Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7786078Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7786275Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7786474Z   test_dispatch_meta_inplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7786665Z   test_dispatch_meta_inplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7786853Z   test_dispatch_meta_inplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7787043Z   test_dispatch_meta_inplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7787233Z   test_dispatch_meta_inplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7787418Z   test_dispatch_meta_inplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7787635Z   test_dispatch_meta_inplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7787824Z   test_dispatch_meta_inplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788028Z   test_dispatch_meta_inplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788207Z   test_dispatch_meta_inplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788396Z   test_dispatch_meta_inplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788581Z   test_dispatch_meta_inplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788771Z   test_dispatch_meta_inplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7788958Z   test_dispatch_meta_inplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7789144Z   test_dispatch_meta_inplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7789333Z   test_dispatch_meta_inplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7789519Z   test_dispatch_meta_inplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7789710Z   test_dispatch_meta_inplace_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7789901Z   test_dispatch_meta_inplace_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7790083Z   test_dispatch_meta_inplace_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7790337Z   test_dispatch_meta_inplace_median_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7790541Z   test_dispatch_meta_inplace_median_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7790730Z   test_dispatch_meta_inplace_median_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7790920Z   test_dispatch_meta_inplace_median_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7791104Z   test_dispatch_meta_inplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7791314Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7791520Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7791732Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7791941Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7792142Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7792349Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7792547Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7792779Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7792985Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7793207Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7793408Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7793606Z   test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7793818Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7794028Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7794240Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7794450Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7794659Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7794868Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7795075Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7795285Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7795494Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7795701Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7795904Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7796105Z   test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7796303Z   test_dispatch_meta_inplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7796490Z   test_dispatch_meta_inplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7796685Z   test_dispatch_meta_inplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7796882Z   test_dispatch_meta_inplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7797073Z   test_dispatch_meta_inplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7797266Z   test_dispatch_meta_inplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7797455Z   test_dispatch_meta_inplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7797666Z   test_dispatch_meta_inplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7797858Z   test_dispatch_meta_inplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7798042Z   test_dispatch_meta_inplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7798271Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7798473Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7798671Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7798875Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7799079Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7799280Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7799482Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7799678Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7799878Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7800075Z   test_dispatch_meta_inplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7800282Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7800484Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7800684Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7800886Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7801083Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7801282Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7801484Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7801681Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7801887Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7802084Z   test_dispatch_meta_inplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7802275Z   test_dispatch_meta_inplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7802463Z   test_dispatch_meta_inplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7802670Z   test_dispatch_meta_inplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7802861Z   test_dispatch_meta_inplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7803047Z   test_dispatch_meta_inplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7803257Z   test_dispatch_meta_inplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7803444Z   test_dispatch_meta_inplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7803626Z   test_dispatch_meta_inplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7803812Z   test_dispatch_meta_inplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804006Z   test_dispatch_meta_inplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804195Z   test_dispatch_meta_inplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804378Z   test_dispatch_meta_inplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804563Z   test_dispatch_meta_inplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804748Z   test_dispatch_meta_inplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7804934Z   test_dispatch_meta_inplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7805118Z   test_dispatch_meta_inplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7805309Z   test_dispatch_meta_inplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7805496Z   test_dispatch_meta_inplace_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7805684Z   test_dispatch_meta_inplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7805870Z   test_dispatch_meta_inplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806055Z   test_dispatch_meta_inplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806240Z   test_dispatch_meta_inplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806417Z   test_dispatch_meta_inplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806607Z   test_dispatch_meta_inplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806793Z   test_dispatch_meta_inplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7806975Z   test_dispatch_meta_inplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7807168Z   test_dispatch_meta_inplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7807352Z   test_dispatch_meta_inplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7807548Z   test_dispatch_meta_inplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7807766Z   test_dispatch_meta_inplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7807965Z   test_dispatch_meta_inplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7808153Z   test_dispatch_meta_inplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7808359Z   test_dispatch_meta_inplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7808545Z   test_dispatch_meta_inplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7808730Z   test_dispatch_meta_inplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7808917Z   test_dispatch_meta_inplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7809102Z   test_dispatch_meta_inplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7809288Z   test_dispatch_meta_inplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7809477Z   test_dispatch_meta_inplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7809671Z   test_dispatch_meta_inplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7809856Z   test_dispatch_meta_inplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810043Z   test_dispatch_meta_inplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810219Z   test_dispatch_meta_inplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810410Z   test_dispatch_meta_inplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810595Z   test_dispatch_meta_inplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810785Z   test_dispatch_meta_inplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7810968Z   test_dispatch_meta_inplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7811152Z   test_dispatch_meta_inplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7811306Z   test_dispatch_meta_inplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7811458Z   test_dispatch_meta_inplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7811616Z   test_dispatch_meta_inplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7811766Z   test_dispatch_meta_inplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (1.399s)
2022-11-23T01:45:55.7811920Z   test_dispatch_meta_inplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812072Z   test_dispatch_meta_inplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812219Z   test_dispatch_meta_inplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812362Z   test_dispatch_meta_inplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812509Z   test_dispatch_meta_inplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812657Z   test_dispatch_meta_inplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812799Z   test_dispatch_meta_inplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7812967Z   test_dispatch_meta_inplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7813113Z   test_dispatch_meta_inplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7813309Z   test_dispatch_meta_inplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7813532Z   test_dispatch_meta_inplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7813729Z   test_dispatch_meta_inplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7813917Z   test_dispatch_meta_inplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7814104Z   test_dispatch_meta_inplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7814296Z   test_dispatch_meta_inplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7814481Z   test_dispatch_meta_inplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7814665Z   test_dispatch_meta_inplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7814843Z   test_dispatch_meta_inplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7815019Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7815193Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7815366Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7815569Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7815762Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7815950Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7816148Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7816349Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7816512Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7816683Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7816856Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7817053Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7817244Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7817434Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7817628Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7817825Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7817993Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.7818198Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7818361Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.7818551Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7818765Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7819068Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7819263Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7819464Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7819625Z   test_dispatch_meta_inplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7819783Z   test_dispatch_meta_inplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7819941Z   test_dispatch_meta_inplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7820096Z   test_dispatch_meta_inplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7820251Z   test_dispatch_meta_inplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7820406Z   test_dispatch_meta_inplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7820562Z   test_dispatch_meta_inplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7820713Z   test_dispatch_meta_inplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7820871Z   test_dispatch_meta_inplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7821031Z   test_dispatch_meta_inplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7821226Z   test_dispatch_meta_inplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7821424Z   test_dispatch_meta_inplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7821612Z   test_dispatch_meta_inplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7821800Z   test_dispatch_meta_inplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7821995Z   test_dispatch_meta_inplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7822193Z   test_dispatch_meta_inplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7822392Z   test_dispatch_meta_inplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7822581Z   test_dispatch_meta_inplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7822771Z   test_dispatch_meta_inplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7822958Z   test_dispatch_meta_inplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7823151Z   test_dispatch_meta_inplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7823336Z   test_dispatch_meta_inplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7823568Z   test_dispatch_meta_inplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7823767Z   test_dispatch_meta_inplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7823981Z   test_dispatch_meta_inplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7824169Z   test_dispatch_meta_inplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7824360Z   test_dispatch_meta_inplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7824552Z   test_dispatch_meta_inplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7824741Z   test_dispatch_meta_inplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7824932Z   test_dispatch_meta_inplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7825119Z   test_dispatch_meta_inplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7825308Z   test_dispatch_meta_inplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7825491Z   test_dispatch_meta_inplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7825675Z   test_dispatch_meta_inplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7825873Z   test_dispatch_meta_inplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7826071Z   test_dispatch_meta_inplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7826271Z   test_dispatch_meta_inplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7826472Z   test_dispatch_meta_inplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7826664Z   test_dispatch_meta_inplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7826860Z   test_dispatch_meta_inplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7827052Z   test_dispatch_meta_inplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7827248Z   test_dispatch_meta_inplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7827437Z   test_dispatch_meta_inplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7827630Z   test_dispatch_meta_inplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7827824Z   test_dispatch_meta_inplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828017Z   test_dispatch_meta_inplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828205Z   test_dispatch_meta_inplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828397Z   test_dispatch_meta_inplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828611Z   test_dispatch_meta_inplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828805Z   test_dispatch_meta_inplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7828998Z   test_dispatch_meta_inplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7829215Z   test_dispatch_meta_inplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7829400Z   test_dispatch_meta_inplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7829589Z   test_dispatch_meta_inplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7829779Z   test_dispatch_meta_inplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7829969Z   test_dispatch_meta_inplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7830157Z   test_dispatch_meta_inplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7830417Z   test_dispatch_meta_inplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7830607Z   test_dispatch_meta_inplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7830791Z   test_dispatch_meta_inplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7830996Z   test_dispatch_meta_inplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7831200Z   test_dispatch_meta_inplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7831396Z   test_dispatch_meta_inplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7831596Z   test_dispatch_meta_inplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7831809Z   test_dispatch_meta_inplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7832019Z   test_dispatch_meta_inplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7832226Z   test_dispatch_meta_inplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7832430Z   test_dispatch_meta_inplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7832631Z   test_dispatch_meta_inplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7832826Z   test_dispatch_meta_inplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7833027Z   test_dispatch_meta_inplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7833229Z   test_dispatch_meta_inplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7833378Z   test_dispatch_meta_inplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7833529Z   test_dispatch_meta_inplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7833717Z   test_dispatch_meta_inplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7833872Z   test_dispatch_meta_inplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834027Z   test_dispatch_meta_inplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834176Z   test_dispatch_meta_inplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834347Z   test_dispatch_meta_inplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834499Z   test_dispatch_meta_inplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834640Z   test_dispatch_meta_inplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834782Z   test_dispatch_meta_inplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7834930Z   test_dispatch_meta_inplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7835080Z   test_dispatch_meta_inplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7835238Z   test_dispatch_meta_inplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7835396Z   test_dispatch_meta_inplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.150s)
2022-11-23T01:45:55.7835554Z   test_dispatch_meta_inplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.152s)
2022-11-23T01:45:55.7835712Z   test_dispatch_meta_inplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.150s)
2022-11-23T01:45:55.7835869Z   test_dispatch_meta_inplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7836012Z   test_dispatch_meta_inplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836159Z   test_dispatch_meta_inplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836310Z   test_dispatch_meta_inplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836458Z   test_dispatch_meta_inplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836604Z   test_dispatch_meta_inplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836749Z   test_dispatch_meta_inplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7836897Z   test_dispatch_meta_inplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.7837099Z   test_dispatch_meta_inplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7837287Z   test_dispatch_meta_inplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7837486Z   test_dispatch_meta_inplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7837684Z   test_dispatch_meta_inplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7837882Z   test_dispatch_meta_inplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7838075Z   test_dispatch_meta_inplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7838269Z   test_dispatch_meta_inplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7838462Z   test_dispatch_meta_inplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7838653Z   test_dispatch_meta_inplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7838842Z   test_dispatch_meta_inplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7839052Z   test_dispatch_meta_inplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7839238Z   test_dispatch_meta_inplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7839422Z   test_dispatch_meta_inplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7839652Z   test_dispatch_meta_inplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7839856Z   test_dispatch_meta_inplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7840062Z   test_dispatch_meta_inplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7840270Z   test_dispatch_meta_inplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7840477Z   test_dispatch_meta_inplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7840677Z   test_dispatch_meta_inplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7840881Z   test_dispatch_meta_inplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7841082Z   test_dispatch_meta_inplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7841277Z   test_dispatch_meta_inplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7841474Z   test_dispatch_meta_inplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7841667Z   test_dispatch_meta_inplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7841870Z   test_dispatch_meta_inplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7842061Z   test_dispatch_meta_inplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7842258Z   test_dispatch_meta_inplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7842453Z   test_dispatch_meta_inplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7842651Z   test_dispatch_meta_inplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7842848Z   test_dispatch_meta_inplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7843047Z   test_dispatch_meta_inplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7843240Z   test_dispatch_meta_inplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7843429Z   test_dispatch_meta_inplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7843617Z   test_dispatch_meta_inplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7843809Z   test_dispatch_meta_inplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844000Z   test_dispatch_meta_inplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844209Z   test_dispatch_meta_inplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844403Z   test_dispatch_meta_inplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844587Z   test_dispatch_meta_inplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844806Z   test_dispatch_meta_inplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7844994Z   test_dispatch_meta_inplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7845183Z   test_dispatch_meta_inplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7845379Z   test_dispatch_meta_inplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7845577Z   test_dispatch_meta_inplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7845766Z   test_dispatch_meta_inplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7845958Z   test_dispatch_meta_inplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7846142Z   test_dispatch_meta_inplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7846328Z   test_dispatch_meta_inplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7846513Z   test_dispatch_meta_inplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7846701Z   test_dispatch_meta_inplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7846890Z   test_dispatch_meta_inplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7847067Z   test_dispatch_meta_inplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7847265Z   test_dispatch_meta_inplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7847453Z   test_dispatch_meta_inplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7847648Z   test_dispatch_meta_inplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7847842Z   test_dispatch_meta_inplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848040Z   test_dispatch_meta_inplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848230Z   test_dispatch_meta_inplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848422Z   test_dispatch_meta_inplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848616Z   test_dispatch_meta_inplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848808Z   test_dispatch_meta_inplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7848993Z   test_dispatch_meta_inplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7849179Z   test_dispatch_meta_inplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7849391Z   test_dispatch_meta_inplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7849576Z   test_dispatch_meta_inplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7849765Z   test_dispatch_meta_inplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7849924Z   test_dispatch_meta_inplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7850087Z   test_dispatch_meta_inplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7850299Z   test_dispatch_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.7850510Z   test_dispatch_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.7850721Z   test_dispatch_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.7850922Z   test_dispatch_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.7851147Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7851370Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7851588Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7851807Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7852019Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7852235Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7852451Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7852659Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7852871Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7853086Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7853289Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7853500Z   test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7853713Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7853924Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7854134Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7854379Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7854591Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7854863Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7855069Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7855280Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7855486Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7855696Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7855897Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7856108Z   test_dispatch_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7856291Z   test_dispatch_meta_inplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.7856473Z   test_dispatch_meta_inplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.7856652Z   test_dispatch_meta_inplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.7856831Z   test_dispatch_meta_inplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.7857042Z   test_dispatch_meta_inplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7857255Z   test_dispatch_meta_inplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7857468Z   test_dispatch_meta_inplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7857670Z   test_dispatch_meta_inplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7857873Z   test_dispatch_meta_inplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7858084Z   test_dispatch_meta_inplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7858295Z   test_dispatch_meta_inplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7858495Z   test_dispatch_meta_inplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7858708Z   test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7859020Z   test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7859223Z   test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7859462Z   test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7859674Z   test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7859877Z   test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7860108Z   test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7860301Z   test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7860528Z   test_dispatch_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7860750Z   test_dispatch_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7860971Z   test_dispatch_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7861191Z   test_dispatch_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7861400Z   test_dispatch_meta_inplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7861607Z   test_dispatch_meta_inplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7861813Z   test_dispatch_meta_inplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7862019Z   test_dispatch_meta_inplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7862236Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7862463Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7862674Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7862894Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7863126Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7863353Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7863570Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7863789Z   test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7863960Z   test_dispatch_meta_inplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7864133Z   test_dispatch_meta_inplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7864299Z   test_dispatch_meta_inplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7864487Z   test_dispatch_meta_inplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7864691Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7864926Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7865134Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7865338Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7865540Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7865749Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7865952Z   test_dispatch_meta_inplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7866157Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7866363Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7866566Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7866766Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7866963Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7867163Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7867359Z   test_dispatch_meta_inplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7867579Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7867797Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7868012Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7868226Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7868439Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7868649Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7868855Z   test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7869065Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7869272Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7869510Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7869719Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7869946Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7870408Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7870615Z   test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7870830Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7871047Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7871265Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7871485Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7871697Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7871899Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7872108Z   test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7872327Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7872547Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7872768Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7872986Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7873203Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7873421Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7873638Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7873852Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7874065Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7874273Z   test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7874485Z   test_dispatch_meta_inplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7874729Z   test_dispatch_meta_inplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7874940Z   test_dispatch_meta_inplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7875167Z   test_dispatch_meta_inplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7875378Z   test_dispatch_meta_inplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7875590Z   test_dispatch_meta_inplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7875805Z   test_dispatch_meta_inplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7876016Z   test_dispatch_meta_inplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7876223Z   test_dispatch_meta_inplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7876433Z   test_dispatch_meta_inplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7876606Z   test_dispatch_meta_inplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7876787Z   test_dispatch_meta_inplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7876963Z   test_dispatch_meta_inplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7877141Z   test_dispatch_meta_inplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7877320Z   test_dispatch_meta_inplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7877491Z   test_dispatch_meta_inplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7877664Z   test_dispatch_meta_inplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7877841Z   test_dispatch_meta_inplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7878019Z   test_dispatch_meta_inplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7878188Z   test_dispatch_meta_inplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7878365Z   test_dispatch_meta_inplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7878542Z   test_dispatch_meta_inplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.7878713Z   test_dispatch_meta_inplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7878882Z   test_dispatch_meta_inplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7879047Z   test_dispatch_meta_inplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7879208Z   test_dispatch_meta_inplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7879425Z   test_dispatch_meta_inplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7879639Z   test_dispatch_meta_inplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7879880Z   test_dispatch_meta_inplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7880088Z   test_dispatch_meta_inplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7880319Z   test_dispatch_meta_inplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7880531Z   test_dispatch_meta_inplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7880740Z   test_dispatch_meta_inplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7880944Z   test_dispatch_meta_inplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7881151Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7881352Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7881556Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7881755Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7881959Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7882150Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7882360Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7882564Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7882766Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7882962Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7883152Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7883349Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7883548Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7883747Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7883942Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7884131Z   test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7884356Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7884575Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7884793Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7885037Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7885253Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7885486Z   test_dispatch_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7885702Z   test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7885916Z   test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7886126Z   test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7886334Z   test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7886540Z   test_dispatch_meta_inplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7886741Z   test_dispatch_meta_inplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7886947Z   test_dispatch_meta_inplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7887149Z   test_dispatch_meta_inplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7887355Z   test_dispatch_meta_inplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7887557Z   test_dispatch_meta_inplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7887759Z   test_dispatch_meta_inplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7887962Z   test_dispatch_meta_inplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7888172Z   test_dispatch_meta_inplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7888382Z   test_dispatch_meta_inplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7888597Z   test_dispatch_meta_inplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7888799Z   test_dispatch_meta_inplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7889006Z   test_dispatch_meta_inplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7889217Z   test_dispatch_meta_inplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7889419Z   test_dispatch_meta_inplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7889627Z   test_dispatch_meta_inplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7889870Z   test_dispatch_meta_inplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7890080Z   test_dispatch_meta_inplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7890282Z   test_dispatch_meta_inplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7890489Z   test_dispatch_meta_inplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7890669Z   test_dispatch_meta_inplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7890850Z   test_dispatch_meta_inplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7891025Z   test_dispatch_meta_inplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.7891236Z   test_dispatch_meta_inplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7891446Z   test_dispatch_meta_inplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7891655Z   test_dispatch_meta_inplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7891860Z   test_dispatch_meta_inplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7892063Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7892269Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7892478Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7892679Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7892883Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7893083Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7893286Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7893493Z   test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7893717Z   test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7893936Z   test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7894154Z   test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7894375Z   test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7894583Z   test_dispatch_meta_inplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7894790Z   test_dispatch_meta_inplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7895019Z   test_dispatch_meta_inplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7895222Z   test_dispatch_meta_inplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7895428Z   test_dispatch_meta_inplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7895663Z   test_dispatch_meta_inplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7895877Z   test_dispatch_meta_inplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7896089Z   test_dispatch_meta_inplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7896309Z   test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7896525Z   test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7896736Z   test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7896942Z   test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7897162Z   test_dispatch_meta_inplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7897381Z   test_dispatch_meta_inplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7897604Z   test_dispatch_meta_inplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7897818Z   test_dispatch_meta_inplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7898045Z   test_dispatch_meta_inplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7898261Z   test_dispatch_meta_inplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7898482Z   test_dispatch_meta_inplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7898696Z   test_dispatch_meta_inplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7899013Z   test_dispatch_meta_inplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7899233Z   test_dispatch_meta_inplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7899458Z   test_dispatch_meta_inplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7899674Z   test_dispatch_meta_inplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7899893Z   test_dispatch_meta_inplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7900153Z   test_dispatch_meta_inplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7900396Z   test_dispatch_meta_inplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7900643Z   test_dispatch_meta_inplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7900878Z   test_dispatch_meta_inplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7901082Z   test_dispatch_meta_inplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7901284Z   test_dispatch_meta_inplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7901490Z   test_dispatch_meta_inplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7901695Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7901903Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7902111Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7902313Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7902516Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7902710Z   test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7902922Z   test_dispatch_meta_inplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7903130Z   test_dispatch_meta_inplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7903337Z   test_dispatch_meta_inplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7903540Z   test_dispatch_meta_inplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7903719Z   test_dispatch_meta_inplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.7903896Z   test_dispatch_meta_inplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7904073Z   test_dispatch_meta_inplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7904243Z   test_dispatch_meta_inplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.7904454Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7904660Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7904870Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7905073Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7905300Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7905504Z   test_dispatch_meta_inplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7905745Z   test_dispatch_meta_inplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7905963Z   test_dispatch_meta_inplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7906179Z   test_dispatch_meta_inplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7906396Z   test_dispatch_meta_inplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7906609Z   test_dispatch_meta_inplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7906817Z   test_dispatch_meta_inplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7907020Z   test_dispatch_meta_inplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7907224Z   test_dispatch_meta_inplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7907442Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7907654Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7907869Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7908083Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7908299Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7908507Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7908722Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7908935Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7909144Z   test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7909346Z   test_dispatch_meta_inplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7909552Z   test_dispatch_meta_inplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7909756Z   test_dispatch_meta_inplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7909957Z   test_dispatch_meta_inplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7910190Z   test_dispatch_meta_inplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7910473Z   test_dispatch_meta_inplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7910680Z   test_dispatch_meta_inplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7910909Z   test_dispatch_meta_inplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7911115Z   test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7911319Z   test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7911521Z   test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7911714Z   test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7911924Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7912138Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7912348Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7912560Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7912772Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7912977Z   test_dispatch_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7913188Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7913396Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7913601Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7913819Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7914023Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7914231Z   test_dispatch_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7914440Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7914646Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7914851Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7915064Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7915295Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7915502Z   test_dispatch_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7915699Z   test_dispatch_meta_inplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7915870Z   test_dispatch_meta_inplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7916028Z   test_dispatch_meta_inplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7916193Z   test_dispatch_meta_inplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7916401Z   test_dispatch_meta_inplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7916608Z   test_dispatch_meta_inplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7916813Z   test_dispatch_meta_inplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7917016Z   test_dispatch_meta_inplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7917231Z   test_dispatch_meta_inplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7917439Z   test_dispatch_meta_inplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7917644Z   test_dispatch_meta_inplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7917850Z   test_dispatch_meta_inplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7918071Z   test_dispatch_meta_inplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7918288Z   test_dispatch_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7918510Z   test_dispatch_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7918729Z   test_dispatch_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7918956Z   test_dispatch_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7919181Z   test_dispatch_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7919408Z   test_dispatch_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7919634Z   test_dispatch_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7919840Z   test_dispatch_meta_inplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7920047Z   test_dispatch_meta_inplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7920275Z   test_dispatch_meta_inplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7920476Z   test_dispatch_meta_inplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7920700Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7920916Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7921127Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7921334Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7921544Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7921745Z   test_dispatch_meta_inplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7921952Z   test_dispatch_meta_inplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7922166Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7922371Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7922587Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7922801Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7923004Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7923218Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7923428Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7923634Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7923839Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7924046Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7924250Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7924452Z   test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7924662Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7924871Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7925087Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7925326Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7925535Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7925768Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7925978Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7926185Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7926391Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7926595Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7926799Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7927004Z   test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7927211Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7927426Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7927634Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7927845Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7928053Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7928265Z   test_dispatch_meta_inplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7928486Z   test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7928701Z   test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7928909Z   test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7929122Z   test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7929335Z   test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7929557Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7929778Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7929991Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7930234Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7930444Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7930650Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7930884Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7931088Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7931292Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7931505Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7931718Z   test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7931926Z   test_dispatch_meta_inplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7932127Z   test_dispatch_meta_inplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7932335Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7932543Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7932764Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7932976Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7933188Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7933399Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7933610Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7933817Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7934031Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7934239Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7934448Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7934647Z   test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7934861Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7935071Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7935351Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7935569Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7935801Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7936007Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7936212Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7936421Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7936631Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7936843Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7937046Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7937253Z   test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7937467Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7937678Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7937886Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7938089Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7938303Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7938514Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7938722Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7939040Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7939248Z   test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7939447Z   test_dispatch_meta_inplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7939658Z   test_dispatch_meta_inplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7939866Z   test_dispatch_meta_inplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7940072Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7940310Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7940511Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7940711Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7940941Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7941142Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7941341Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7941534Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7941740Z   test_dispatch_meta_inplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7941943Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7942148Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7942346Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7942550Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7942747Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7942943Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7943134Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7943336Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7943532Z   test_dispatch_meta_inplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7943699Z   test_dispatch_meta_inplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7943870Z   test_dispatch_meta_inplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944035Z   test_dispatch_meta_inplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944204Z   test_dispatch_meta_inplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944367Z   test_dispatch_meta_inplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944535Z   test_dispatch_meta_inplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944702Z   test_dispatch_meta_inplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7944866Z   test_dispatch_meta_inplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7945030Z   test_dispatch_meta_inplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7945186Z   test_dispatch_meta_inplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7945348Z   test_dispatch_meta_inplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7945532Z   test_dispatch_meta_inplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.7945743Z   test_dispatch_meta_inplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7945979Z   test_dispatch_meta_inplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7946188Z   test_dispatch_meta_inplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7946406Z   test_dispatch_meta_inplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7946618Z   test_dispatch_meta_inplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7946827Z   test_dispatch_meta_inplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7947030Z   test_dispatch_meta_inplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7947233Z   test_dispatch_meta_inplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7947438Z   test_dispatch_meta_inplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7947642Z   test_dispatch_meta_inplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7947845Z   test_dispatch_meta_inplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7948064Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7948285Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7948507Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7948723Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7948930Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7949138Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7949350Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7949550Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7949757Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7949968Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7950172Z   test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7950483Z   test_dispatch_meta_inplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7950708Z   test_dispatch_meta_inplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7950914Z   test_dispatch_meta_inplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7951142Z   test_dispatch_meta_inplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7951353Z   test_dispatch_meta_inplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7951560Z   test_dispatch_meta_inplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7951770Z   test_dispatch_meta_inplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7951965Z   test_dispatch_meta_inplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7952172Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7952381Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7952590Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7952794Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7952999Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7953202Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7953401Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7953606Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7953809Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7954003Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7954209Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7954408Z   test_dispatch_meta_inplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7954616Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7954832Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7955047Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7955253Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7955484Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7955687Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7955895Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7956128Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7956321Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7956526Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7956727Z   test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7956905Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7957083Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7957261Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7957436Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7957609Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7957783Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7957956Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7958125Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7958295Z   test_dispatch_meta_inplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.7958515Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7958740Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7958964Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7959181Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7959400Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7959609Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7959826Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7960034Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7960232Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7960443Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7960684Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7960920Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7961176Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7961417Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7961650Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7961874Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7962093Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7962323Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7962543Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7962762Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7962981Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7963213Z   test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7963419Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7963631Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7963837Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7964040Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7964248Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7964449Z   test_dispatch_meta_inplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7964666Z   test_dispatch_meta_inplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7964879Z   test_dispatch_meta_inplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7965088Z   test_dispatch_meta_inplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7965297Z   test_dispatch_meta_inplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7965530Z   test_dispatch_meta_inplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7965739Z   test_dispatch_meta_inplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7965954Z   test_dispatch_meta_inplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7966168Z   test_dispatch_meta_inplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7966358Z   test_dispatch_meta_inplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7966556Z   test_dispatch_meta_inplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7966753Z   test_dispatch_meta_inplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7966949Z   test_dispatch_meta_inplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7967141Z   test_dispatch_meta_inplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7967333Z   test_dispatch_meta_inplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7967513Z   test_dispatch_meta_inplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7967703Z   test_dispatch_meta_inplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7967894Z   test_dispatch_meta_inplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7968079Z   test_dispatch_meta_inplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7968267Z   test_dispatch_meta_inplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7968458Z   test_dispatch_meta_inplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7968651Z   test_dispatch_meta_inplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7968845Z   test_dispatch_meta_inplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969038Z   test_dispatch_meta_inplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969218Z   test_dispatch_meta_inplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969410Z   test_dispatch_meta_inplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969599Z   test_dispatch_meta_inplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969791Z   test_dispatch_meta_inplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7969994Z   test_dispatch_meta_inplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7970190Z   test_dispatch_meta_inplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7970383Z   test_dispatch_meta_inplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7970599Z   test_dispatch_meta_inplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7970788Z   test_dispatch_meta_inplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7970981Z   test_dispatch_meta_inplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7971191Z   test_dispatch_meta_inplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7971388Z   test_dispatch_meta_inplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7971579Z   test_dispatch_meta_inplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7971767Z   test_dispatch_meta_inplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7971954Z   test_dispatch_meta_inplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7972148Z   test_dispatch_meta_inplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7972339Z   test_dispatch_meta_inplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7972527Z   test_dispatch_meta_inplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7972715Z   test_dispatch_meta_inplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7972907Z   test_dispatch_meta_inplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7973090Z   test_dispatch_meta_inplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7973282Z   test_dispatch_meta_inplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7973468Z   test_dispatch_meta_inplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7973677Z   test_dispatch_meta_inplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7973880Z   test_dispatch_meta_inplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7974081Z   test_dispatch_meta_inplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7974282Z   test_dispatch_meta_inplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7974473Z   test_dispatch_meta_inplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7974666Z   test_dispatch_meta_inplace_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7974861Z   test_dispatch_meta_inplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7975049Z   test_dispatch_meta_inplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7975240Z   test_dispatch_meta_inplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7975427Z   test_dispatch_meta_inplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7975613Z   test_dispatch_meta_inplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7975826Z   test_dispatch_meta_inplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976014Z   test_dispatch_meta_inplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976223Z   test_dispatch_meta_inplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976410Z   test_dispatch_meta_inplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976593Z   test_dispatch_meta_inplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976780Z   test_dispatch_meta_inplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7976969Z   test_dispatch_meta_inplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7977162Z   test_dispatch_meta_inplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7977360Z   test_dispatch_meta_inplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7977565Z   test_dispatch_meta_inplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7977762Z   test_dispatch_meta_inplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7977954Z   test_dispatch_meta_inplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7978153Z   test_dispatch_meta_inplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7978347Z   test_dispatch_meta_inplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7978538Z   test_dispatch_meta_inplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7978728Z   test_dispatch_meta_inplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979021Z   test_dispatch_meta_inplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979214Z   test_dispatch_meta_inplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979399Z   test_dispatch_meta_inplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979593Z   test_dispatch_meta_inplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979782Z   test_dispatch_meta_inplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7979973Z   test_dispatch_meta_inplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7980166Z   test_dispatch_meta_inplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7980354Z   test_dispatch_meta_inplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7980542Z   test_dispatch_meta_inplace_outer_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7980734Z   test_dispatch_meta_inplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7980961Z   test_dispatch_meta_inplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7981151Z   test_dispatch_meta_inplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7981340Z   test_dispatch_meta_inplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7981552Z   test_dispatch_meta_inplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7981740Z   test_dispatch_meta_inplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7981927Z   test_dispatch_meta_inplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7982116Z   test_dispatch_meta_inplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7982306Z   test_dispatch_meta_inplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7982492Z   test_dispatch_meta_inplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7982689Z   test_dispatch_meta_inplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7982882Z   test_dispatch_meta_inplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7983078Z   test_dispatch_meta_inplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7983267Z   test_dispatch_meta_inplace_permute_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7983465Z   test_dispatch_meta_inplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7983661Z   test_dispatch_meta_inplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7983858Z   test_dispatch_meta_inplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984051Z   test_dispatch_meta_inplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984241Z   test_dispatch_meta_inplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984426Z   test_dispatch_meta_inplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984613Z   test_dispatch_meta_inplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984793Z   test_dispatch_meta_inplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7984980Z   test_dispatch_meta_inplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7985172Z   test_dispatch_meta_inplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7985358Z   test_dispatch_meta_inplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7985556Z   test_dispatch_meta_inplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7985753Z   test_dispatch_meta_inplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7985947Z   test_dispatch_meta_inplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7986161Z   test_dispatch_meta_inplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7986348Z   test_dispatch_meta_inplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7986526Z   test_dispatch_meta_inplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7986756Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7986934Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.324s)
2022-11-23T01:45:55.7987114Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.320s)
2022-11-23T01:45:55.7987289Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.541s)
2022-11-23T01:45:55.7987497Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7987694Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7987886Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7988088Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7988282Z   test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7988471Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7988648Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7988822Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7988995Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7989198Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7989392Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7989584Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7989781Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7989975Z   test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7990174Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7990411Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7990608Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7990797Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7991026Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7991495Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7991717Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7991917Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7992110Z   test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7992328Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7992499Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7992664Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7992835Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7993039Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7993234Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7993429Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7993625Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7993817Z   test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7994012Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7994186Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7994357Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7994520Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.7994719Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7994912Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.7995102Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7995297Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7995491Z   test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.7995691Z   test_dispatch_meta_inplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7995891Z   test_dispatch_meta_inplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7996091Z   test_dispatch_meta_inplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7996290Z   test_dispatch_meta_inplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7996475Z   test_dispatch_meta_inplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7996666Z   test_dispatch_meta_inplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7996886Z   test_dispatch_meta_inplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7997078Z   test_dispatch_meta_inplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7997294Z   test_dispatch_meta_inplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7997480Z   test_dispatch_meta_inplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7997670Z   test_dispatch_meta_inplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7997853Z   test_dispatch_meta_inplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.7998008Z   test_dispatch_meta_inplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7998165Z   test_dispatch_meta_inplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7998322Z   test_dispatch_meta_inplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (1.984s)
2022-11-23T01:45:55.7998479Z   test_dispatch_meta_inplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7998635Z   test_dispatch_meta_inplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7998786Z   test_dispatch_meta_inplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7998937Z   test_dispatch_meta_inplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999089Z   test_dispatch_meta_inplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999236Z   test_dispatch_meta_inplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999380Z   test_dispatch_meta_inplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999526Z   test_dispatch_meta_inplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999670Z   test_dispatch_meta_inplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.7999863Z   test_dispatch_meta_inplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8000055Z   test_dispatch_meta_inplace_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8000250Z   test_dispatch_meta_inplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8000443Z   test_dispatch_meta_inplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8000631Z   test_dispatch_meta_inplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8000821Z   test_dispatch_meta_inplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001011Z   test_dispatch_meta_inplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001195Z   test_dispatch_meta_inplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001383Z   test_dispatch_meta_inplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001569Z   test_dispatch_meta_inplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001756Z   test_dispatch_meta_inplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8001942Z   test_dispatch_meta_inplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8002149Z   test_dispatch_meta_inplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8002306Z   test_dispatch_meta_inplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8002459Z   test_dispatch_meta_inplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8002639Z   test_dispatch_meta_inplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8002787Z   test_dispatch_meta_inplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8002943Z   test_dispatch_meta_inplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003092Z   test_dispatch_meta_inplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003241Z   test_dispatch_meta_inplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003392Z   test_dispatch_meta_inplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003540Z   test_dispatch_meta_inplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003685Z   test_dispatch_meta_inplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003836Z   test_dispatch_meta_inplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8003974Z   test_dispatch_meta_inplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8004167Z   test_dispatch_meta_inplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8004357Z   test_dispatch_meta_inplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8004546Z   test_dispatch_meta_inplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8004731Z   test_dispatch_meta_inplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8004923Z   test_dispatch_meta_inplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8005115Z   test_dispatch_meta_inplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8005277Z   test_dispatch_meta_inplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8005463Z   test_dispatch_meta_inplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8005618Z   test_dispatch_meta_inplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8005769Z   test_dispatch_meta_inplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8005925Z   test_dispatch_meta_inplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8006116Z   test_dispatch_meta_inplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8006297Z   test_dispatch_meta_inplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8006477Z   test_dispatch_meta_inplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8006661Z   test_dispatch_meta_inplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8006841Z   test_dispatch_meta_inplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8007037Z   test_dispatch_meta_inplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8007235Z   test_dispatch_meta_inplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8007453Z   test_dispatch_meta_inplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8007652Z   test_dispatch_meta_inplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8007873Z   test_dispatch_meta_inplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8008066Z   test_dispatch_meta_inplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8008259Z   test_dispatch_meta_inplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8008451Z   test_dispatch_meta_inplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8008646Z   test_dispatch_meta_inplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8008839Z   test_dispatch_meta_inplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009028Z   test_dispatch_meta_inplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009220Z   test_dispatch_meta_inplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009402Z   test_dispatch_meta_inplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009586Z   test_dispatch_meta_inplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009774Z   test_dispatch_meta_inplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8009968Z   test_dispatch_meta_inplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8010167Z   test_dispatch_meta_inplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8010365Z   test_dispatch_meta_inplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8010562Z   test_dispatch_meta_inplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8010756Z   test_dispatch_meta_inplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8010952Z   test_dispatch_meta_inplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8011147Z   test_dispatch_meta_inplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8011334Z   test_dispatch_meta_inplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8011527Z   test_dispatch_meta_inplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8011722Z   test_dispatch_meta_inplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8011913Z   test_dispatch_meta_inplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8012106Z   test_dispatch_meta_inplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8012299Z   test_dispatch_meta_inplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8012515Z   test_dispatch_meta_inplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8012705Z   test_dispatch_meta_inplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8012897Z   test_dispatch_meta_inplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8013145Z   test_dispatch_meta_inplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8013337Z   test_dispatch_meta_inplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8013535Z   test_dispatch_meta_inplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8013730Z   test_dispatch_meta_inplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8013928Z   test_dispatch_meta_inplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8014123Z   test_dispatch_meta_inplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8014318Z   test_dispatch_meta_inplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8014511Z   test_dispatch_meta_inplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8014703Z   test_dispatch_meta_inplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8014891Z   test_dispatch_meta_inplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8015088Z   test_dispatch_meta_inplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8015274Z   test_dispatch_meta_inplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8015471Z   test_dispatch_meta_inplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8015663Z   test_dispatch_meta_inplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8015849Z   test_dispatch_meta_inplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016033Z   test_dispatch_meta_inplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016221Z   test_dispatch_meta_inplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016405Z   test_dispatch_meta_inplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016592Z   test_dispatch_meta_inplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016782Z   test_dispatch_meta_inplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8016971Z   test_dispatch_meta_inplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8017152Z   test_dispatch_meta_inplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8017339Z   test_dispatch_meta_inplace_real_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8017536Z   test_dispatch_meta_inplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8017751Z   test_dispatch_meta_inplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8017944Z   test_dispatch_meta_inplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8018156Z   test_dispatch_meta_inplace_real_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8018348Z   test_dispatch_meta_inplace_real_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8018535Z   test_dispatch_meta_inplace_real_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8018723Z   test_dispatch_meta_inplace_real_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8019017Z   test_dispatch_meta_inplace_real_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8019203Z   test_dispatch_meta_inplace_real_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8019390Z   test_dispatch_meta_inplace_real_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8019578Z   test_dispatch_meta_inplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8019744Z   test_dispatch_meta_inplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8019932Z   test_dispatch_meta_inplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8020100Z   test_dispatch_meta_inplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8020265Z   test_dispatch_meta_inplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8020432Z   test_dispatch_meta_inplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8020594Z   test_dispatch_meta_inplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8020744Z   test_dispatch_meta_inplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8020933Z   test_dispatch_meta_inplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8021121Z   test_dispatch_meta_inplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8021309Z   test_dispatch_meta_inplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8021494Z   test_dispatch_meta_inplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8021679Z   test_dispatch_meta_inplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8021840Z   test_dispatch_meta_inplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8022000Z   test_dispatch_meta_inplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8022161Z   test_dispatch_meta_inplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8022310Z   test_dispatch_meta_inplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8022467Z   test_dispatch_meta_inplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8022625Z   test_dispatch_meta_inplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8022781Z   test_dispatch_meta_inplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8022938Z   test_dispatch_meta_inplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8023135Z   test_dispatch_meta_inplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8023289Z   test_dispatch_meta_inplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8023446Z   test_dispatch_meta_inplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8023626Z   test_dispatch_meta_inplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8023780Z   test_dispatch_meta_inplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8023936Z   test_dispatch_meta_inplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8024091Z   test_dispatch_meta_inplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8024288Z   test_dispatch_meta_inplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8024482Z   test_dispatch_meta_inplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8024680Z   test_dispatch_meta_inplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8024878Z   test_dispatch_meta_inplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8025075Z   test_dispatch_meta_inplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8025260Z   test_dispatch_meta_inplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8025447Z   test_dispatch_meta_inplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8025641Z   test_dispatch_meta_inplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8025831Z   test_dispatch_meta_inplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8026020Z   test_dispatch_meta_inplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8026213Z   test_dispatch_meta_inplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8026400Z   test_dispatch_meta_inplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8026607Z   test_dispatch_meta_inplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8026812Z   test_dispatch_meta_inplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8027024Z   test_dispatch_meta_inplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8027225Z   test_dispatch_meta_inplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8027434Z   test_dispatch_meta_inplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8027643Z   test_dispatch_meta_inplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8027848Z   test_dispatch_meta_inplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8028048Z   test_dispatch_meta_inplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8028280Z   test_dispatch_meta_inplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8028482Z   test_dispatch_meta_inplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8028676Z   test_dispatch_meta_inplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8028902Z   test_dispatch_meta_inplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8029097Z   test_dispatch_meta_inplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8029295Z   test_dispatch_meta_inplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8029481Z   test_dispatch_meta_inplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8029688Z   test_dispatch_meta_inplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8029887Z   test_dispatch_meta_inplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8030087Z   test_dispatch_meta_inplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8030346Z   test_dispatch_meta_inplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8030560Z   test_dispatch_meta_inplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8030756Z   test_dispatch_meta_inplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8030951Z   test_dispatch_meta_inplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8031141Z   test_dispatch_meta_inplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8031328Z   test_dispatch_meta_inplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8031516Z   test_dispatch_meta_inplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8031701Z   test_dispatch_meta_inplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8031889Z   test_dispatch_meta_inplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8032078Z   test_dispatch_meta_inplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8032275Z   test_dispatch_meta_inplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8032472Z   test_dispatch_meta_inplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8032669Z   test_dispatch_meta_inplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8032862Z   test_dispatch_meta_inplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8033054Z   test_dispatch_meta_inplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8033239Z   test_dispatch_meta_inplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8033421Z   test_dispatch_meta_inplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8033650Z   test_dispatch_meta_inplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8033836Z   test_dispatch_meta_inplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8034046Z   test_dispatch_meta_inplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8034240Z   test_dispatch_meta_inplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8034401Z   test_dispatch_meta_inplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8034558Z   test_dispatch_meta_inplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8034721Z   test_dispatch_meta_inplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8034883Z   test_dispatch_meta_inplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035031Z   test_dispatch_meta_inplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035187Z   test_dispatch_meta_inplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035343Z   test_dispatch_meta_inplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035496Z   test_dispatch_meta_inplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035649Z   test_dispatch_meta_inplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035802Z   test_dispatch_meta_inplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8035955Z   test_dispatch_meta_inplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036109Z   test_dispatch_meta_inplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036266Z   test_dispatch_meta_inplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036422Z   test_dispatch_meta_inplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036586Z   test_dispatch_meta_inplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036751Z   test_dispatch_meta_inplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8036912Z   test_dispatch_meta_inplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037070Z   test_dispatch_meta_inplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037223Z   test_dispatch_meta_inplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037381Z   test_dispatch_meta_inplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037538Z   test_dispatch_meta_inplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037682Z   test_dispatch_meta_inplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037837Z   test_dispatch_meta_inplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8037994Z   test_dispatch_meta_inplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8038194Z   test_dispatch_meta_inplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8038391Z   test_dispatch_meta_inplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8038598Z   test_dispatch_meta_inplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8038825Z   test_dispatch_meta_inplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8039023Z   test_dispatch_meta_inplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8039221Z   test_dispatch_meta_inplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8039431Z   test_dispatch_meta_inplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8039626Z   test_dispatch_meta_inplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8039821Z   test_dispatch_meta_inplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040014Z   test_dispatch_meta_inplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040209Z   test_dispatch_meta_inplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040399Z   test_dispatch_meta_inplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040596Z   test_dispatch_meta_inplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040792Z   test_dispatch_meta_inplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8040995Z   test_dispatch_meta_inplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8041194Z   test_dispatch_meta_inplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8041382Z   test_dispatch_meta_inplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8041582Z   test_dispatch_meta_inplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8041778Z   test_dispatch_meta_inplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8041979Z   test_dispatch_meta_inplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8042169Z   test_dispatch_meta_inplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8042363Z   test_dispatch_meta_inplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8042555Z   test_dispatch_meta_inplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8042749Z   test_dispatch_meta_inplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8042936Z   test_dispatch_meta_inplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8043127Z   test_dispatch_meta_inplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8043311Z   test_dispatch_meta_inplace_roll_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8043506Z   test_dispatch_meta_inplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8043701Z   test_dispatch_meta_inplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8043893Z   test_dispatch_meta_inplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8044109Z   test_dispatch_meta_inplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8044299Z   test_dispatch_meta_inplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8044509Z   test_dispatch_meta_inplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8044696Z   test_dispatch_meta_inplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8044881Z   test_dispatch_meta_inplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8045066Z   test_dispatch_meta_inplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8045248Z   test_dispatch_meta_inplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8045432Z   test_dispatch_meta_inplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8045621Z   test_dispatch_meta_inplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8045811Z   test_dispatch_meta_inplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046003Z   test_dispatch_meta_inplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046195Z   test_dispatch_meta_inplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046380Z   test_dispatch_meta_inplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046571Z   test_dispatch_meta_inplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046752Z   test_dispatch_meta_inplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8046938Z   test_dispatch_meta_inplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8047114Z   test_dispatch_meta_inplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8055201Z   test_dispatch_meta_inplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8055400Z   test_dispatch_meta_inplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8055592Z   test_dispatch_meta_inplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8055757Z   test_dispatch_meta_inplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8055915Z   test_dispatch_meta_inplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056073Z   test_dispatch_meta_inplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056236Z   test_dispatch_meta_inplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056390Z   test_dispatch_meta_inplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056534Z   test_dispatch_meta_inplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056680Z   test_dispatch_meta_inplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056836Z   test_dispatch_meta_inplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8056984Z   test_dispatch_meta_inplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8057213Z   test_dispatch_meta_inplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8057384Z   test_dispatch_meta_inplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8057549Z   test_dispatch_meta_inplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8057735Z   test_dispatch_meta_inplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8057895Z   test_dispatch_meta_inplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8058056Z   test_dispatch_meta_inplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8058215Z   test_dispatch_meta_inplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8058374Z   test_dispatch_meta_inplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8058549Z   test_dispatch_meta_inplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8058724Z   test_dispatch_meta_inplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8059156Z   test_dispatch_meta_inplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8059335Z   test_dispatch_meta_inplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8059495Z   test_dispatch_meta_inplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8059675Z   test_dispatch_meta_inplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8059837Z   test_dispatch_meta_inplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.691s)
2022-11-23T01:45:55.8059995Z   test_dispatch_meta_inplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.619s)
2022-11-23T01:45:55.8060156Z   test_dispatch_meta_inplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.608s)
2022-11-23T01:45:55.8060311Z   test_dispatch_meta_inplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8060466Z   test_dispatch_meta_inplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8060622Z   test_dispatch_meta_inplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8060806Z   test_dispatch_meta_inplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8060982Z   test_dispatch_meta_inplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8061152Z   test_dispatch_meta_inplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8061331Z   test_dispatch_meta_inplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8061517Z   test_dispatch_meta_inplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8061712Z   test_dispatch_meta_inplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8061911Z   test_dispatch_meta_inplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8062105Z   test_dispatch_meta_inplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8062294Z   test_dispatch_meta_inplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8062484Z   test_dispatch_meta_inplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8062720Z   test_dispatch_meta_inplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8062909Z   test_dispatch_meta_inplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8063090Z   test_dispatch_meta_inplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8063306Z   test_dispatch_meta_inplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8063493Z   test_dispatch_meta_inplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8063675Z   test_dispatch_meta_inplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8063876Z   test_dispatch_meta_inplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8064075Z   test_dispatch_meta_inplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8064282Z   test_dispatch_meta_inplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8064484Z   test_dispatch_meta_inplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8064681Z   test_dispatch_meta_inplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8064880Z   test_dispatch_meta_inplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8065065Z   test_dispatch_meta_inplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8065254Z   test_dispatch_meta_inplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8065452Z   test_dispatch_meta_inplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8065648Z   test_dispatch_meta_inplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8065847Z   test_dispatch_meta_inplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8066039Z   test_dispatch_meta_inplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8066231Z   test_dispatch_meta_inplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8066398Z   test_dispatch_meta_inplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8066563Z   test_dispatch_meta_inplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8066725Z   test_dispatch_meta_inplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8066890Z   test_dispatch_meta_inplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067053Z   test_dispatch_meta_inplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067213Z   test_dispatch_meta_inplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067369Z   test_dispatch_meta_inplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067529Z   test_dispatch_meta_inplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067687Z   test_dispatch_meta_inplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8067839Z   test_dispatch_meta_inplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8068019Z   test_dispatch_meta_inplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8068166Z   test_dispatch_meta_inplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8068319Z   test_dispatch_meta_inplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8068497Z   test_dispatch_meta_inplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8068658Z   test_dispatch_meta_inplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8068817Z   test_dispatch_meta_inplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8068973Z   test_dispatch_meta_inplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8069131Z   test_dispatch_meta_inplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8069288Z   test_dispatch_meta_inplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8069437Z   test_dispatch_meta_inplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8069591Z   test_dispatch_meta_inplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8069752Z   test_dispatch_meta_inplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8069905Z   test_dispatch_meta_inplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8070057Z   test_dispatch_meta_inplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8070231Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8070485Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8070650Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8070817Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8070980Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071145Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071308Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071476Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071635Z   test_dispatch_meta_inplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071805Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8071976Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072141Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072303Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072464Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072627Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072787Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8072952Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8073112Z   test_dispatch_meta_inplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8073282Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8073484Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8073651Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8073840Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074003Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074167Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074328Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074496Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074660Z   test_dispatch_meta_inplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8074834Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075004Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075172Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075334Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075493Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075655Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075818Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8075985Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076146Z   test_dispatch_meta_inplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076311Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076478Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076648Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076806Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8076969Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077136Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077299Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077461Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077629Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077798Z   test_dispatch_meta_inplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8077999Z   test_dispatch_meta_inplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8078200Z   test_dispatch_meta_inplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8078399Z   test_dispatch_meta_inplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8078629Z   test_dispatch_meta_inplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8078830Z   test_dispatch_meta_inplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8079026Z   test_dispatch_meta_inplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8079246Z   test_dispatch_meta_inplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8079440Z   test_dispatch_meta_inplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8079655Z   test_dispatch_meta_inplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8079866Z   test_dispatch_meta_inplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8080075Z   test_dispatch_meta_inplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8080275Z   test_dispatch_meta_inplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8080489Z   test_dispatch_meta_inplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8080690Z   test_dispatch_meta_inplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8080897Z   test_dispatch_meta_inplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8081098Z   test_dispatch_meta_inplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8081293Z   test_dispatch_meta_inplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8081485Z   test_dispatch_meta_inplace_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8081683Z   test_dispatch_meta_inplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8081877Z   test_dispatch_meta_inplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8082069Z   test_dispatch_meta_inplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8082257Z   test_dispatch_meta_inplace_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8082447Z   test_dispatch_meta_inplace_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8082627Z   test_dispatch_meta_inplace_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8082815Z   test_dispatch_meta_inplace_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083005Z   test_dispatch_meta_inplace_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083193Z   test_dispatch_meta_inplace_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083383Z   test_dispatch_meta_inplace_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083566Z   test_dispatch_meta_inplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083793Z   test_dispatch_meta_inplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8083995Z   test_dispatch_meta_inplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8084194Z   test_dispatch_meta_inplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8084408Z   test_dispatch_meta_inplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8084591Z   test_dispatch_meta_inplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8084787Z   test_dispatch_meta_inplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8084986Z   test_dispatch_meta_inplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8085184Z   test_dispatch_meta_inplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8085377Z   test_dispatch_meta_inplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8085570Z   test_dispatch_meta_inplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8085729Z   test_dispatch_meta_inplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8085881Z   test_dispatch_meta_inplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8086040Z   test_dispatch_meta_inplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.195s)
2022-11-23T01:45:55.8086192Z   test_dispatch_meta_inplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:55.8086351Z   test_dispatch_meta_inplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:55.8086504Z   test_dispatch_meta_inplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8086654Z   test_dispatch_meta_inplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8086802Z   test_dispatch_meta_inplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8086953Z   test_dispatch_meta_inplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8087099Z   test_dispatch_meta_inplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8087243Z   test_dispatch_meta_inplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8087392Z   test_dispatch_meta_inplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8087529Z   test_dispatch_meta_inplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8087722Z   test_dispatch_meta_inplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8087914Z   test_dispatch_meta_inplace_short_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8088110Z   test_dispatch_meta_inplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8088307Z   test_dispatch_meta_inplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8088497Z   test_dispatch_meta_inplace_short_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8088686Z   test_dispatch_meta_inplace_short_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8088870Z   test_dispatch_meta_inplace_short_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8089084Z   test_dispatch_meta_inplace_short_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8089266Z   test_dispatch_meta_inplace_short_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8089480Z   test_dispatch_meta_inplace_short_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8089665Z   test_dispatch_meta_inplace_short_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8089849Z   test_dispatch_meta_inplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8090009Z   test_dispatch_meta_inplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8090194Z   test_dispatch_meta_inplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8090356Z   test_dispatch_meta_inplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.632s)
2022-11-23T01:45:55.8090516Z   test_dispatch_meta_inplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.545s)
2022-11-23T01:45:55.8090675Z   test_dispatch_meta_inplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.536s)
2022-11-23T01:45:55.8090831Z   test_dispatch_meta_inplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8090987Z   test_dispatch_meta_inplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8091145Z   test_dispatch_meta_inplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8091331Z   test_dispatch_meta_inplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8091508Z   test_dispatch_meta_inplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8091687Z   test_dispatch_meta_inplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8091868Z   test_dispatch_meta_inplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8092045Z   test_dispatch_meta_inplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.8092203Z   test_dispatch_meta_inplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8092351Z   test_dispatch_meta_inplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8092505Z   test_dispatch_meta_inplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8092658Z   test_dispatch_meta_inplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8092815Z   test_dispatch_meta_inplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8092969Z   test_dispatch_meta_inplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8093116Z   test_dispatch_meta_inplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8093261Z   test_dispatch_meta_inplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8093411Z   test_dispatch_meta_inplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8093550Z   test_dispatch_meta_inplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8093759Z   test_dispatch_meta_inplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8093966Z   test_dispatch_meta_inplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8094173Z   test_dispatch_meta_inplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8094395Z   test_dispatch_meta_inplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8094611Z   test_dispatch_meta_inplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8094854Z   test_dispatch_meta_inplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8095070Z   test_dispatch_meta_inplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8095284Z   test_dispatch_meta_inplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8095492Z   test_dispatch_meta_inplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8095702Z   test_dispatch_meta_inplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8095902Z   test_dispatch_meta_inplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8096106Z   test_dispatch_meta_inplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8096310Z   test_dispatch_meta_inplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8096512Z   test_dispatch_meta_inplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8096712Z   test_dispatch_meta_inplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8096910Z   test_dispatch_meta_inplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8097103Z   test_dispatch_meta_inplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8097294Z   test_dispatch_meta_inplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8097488Z   test_dispatch_meta_inplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8097681Z   test_dispatch_meta_inplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8097862Z   test_dispatch_meta_inplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8098056Z   test_dispatch_meta_inplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8098244Z   test_dispatch_meta_inplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8098426Z   test_dispatch_meta_inplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8098617Z   test_dispatch_meta_inplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8098918Z   test_dispatch_meta_inplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8099075Z   test_dispatch_meta_inplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8099259Z   test_dispatch_meta_inplace_sin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8099416Z   test_dispatch_meta_inplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8099612Z   test_dispatch_meta_inplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8099762Z   test_dispatch_meta_inplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8099915Z   test_dispatch_meta_inplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8100090Z   test_dispatch_meta_inplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8100235Z   test_dispatch_meta_inplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8100416Z   test_dispatch_meta_inplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8100598Z   test_dispatch_meta_inplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8100779Z   test_dispatch_meta_inplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8100961Z   test_dispatch_meta_inplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8101133Z   test_dispatch_meta_inplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8101293Z   test_dispatch_meta_inplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.242s)
2022-11-23T01:45:55.8101469Z   test_dispatch_meta_inplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8101627Z   test_dispatch_meta_inplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.813s)
2022-11-23T01:45:55.8101783Z   test_dispatch_meta_inplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.682s)
2022-11-23T01:45:55.8101938Z   test_dispatch_meta_inplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.242s)
2022-11-23T01:45:55.8102088Z   test_dispatch_meta_inplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.242s)
2022-11-23T01:45:55.8102244Z   test_dispatch_meta_inplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:55.8102424Z   test_dispatch_meta_inplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8102600Z   test_dispatch_meta_inplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8102785Z   test_dispatch_meta_inplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8102967Z   test_dispatch_meta_inplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8103143Z   test_dispatch_meta_inplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8103296Z   test_dispatch_meta_inplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8103474Z   test_dispatch_meta_inplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8103628Z   test_dispatch_meta_inplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8103783Z   test_dispatch_meta_inplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8103942Z   test_dispatch_meta_inplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8104086Z   test_dispatch_meta_inplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8104237Z   test_dispatch_meta_inplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8104384Z   test_dispatch_meta_inplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8104560Z   test_dispatch_meta_inplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8104743Z   test_dispatch_meta_inplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8104990Z   test_dispatch_meta_inplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8105171Z   test_dispatch_meta_inplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8105371Z   test_dispatch_meta_inplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8105565Z   test_dispatch_meta_inplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8105751Z   test_dispatch_meta_inplace_slice_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8105946Z   test_dispatch_meta_inplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8106144Z   test_dispatch_meta_inplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8106336Z   test_dispatch_meta_inplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8106525Z   test_dispatch_meta_inplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8106715Z   test_dispatch_meta_inplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8106900Z   test_dispatch_meta_inplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8107086Z   test_dispatch_meta_inplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8107275Z   test_dispatch_meta_inplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8107465Z   test_dispatch_meta_inplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8107647Z   test_dispatch_meta_inplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8107830Z   test_dispatch_meta_inplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8108036Z   test_dispatch_meta_inplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8108232Z   test_dispatch_meta_inplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8108431Z   test_dispatch_meta_inplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8108623Z   test_dispatch_meta_inplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8108816Z   test_dispatch_meta_inplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8109011Z   test_dispatch_meta_inplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8109209Z   test_dispatch_meta_inplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8109405Z   test_dispatch_meta_inplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8109594Z   test_dispatch_meta_inplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8109786Z   test_dispatch_meta_inplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8110003Z   test_dispatch_meta_inplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8110195Z   test_dispatch_meta_inplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8110458Z   test_dispatch_meta_inplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8110691Z   test_dispatch_meta_inplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8110897Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8111099Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8111307Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8111517Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8111712Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8111916Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8112117Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8112319Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8112511Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8112705Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8112903Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8113103Z   test_dispatch_meta_inplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8113291Z   test_dispatch_meta_inplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8113477Z   test_dispatch_meta_inplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8113659Z   test_dispatch_meta_inplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8113847Z   test_dispatch_meta_inplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114033Z   test_dispatch_meta_inplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114219Z   test_dispatch_meta_inplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114407Z   test_dispatch_meta_inplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114591Z   test_dispatch_meta_inplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114774Z   test_dispatch_meta_inplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8114985Z   test_dispatch_meta_inplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8115232Z   test_dispatch_meta_inplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8115439Z   test_dispatch_meta_inplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8115638Z   test_dispatch_meta_inplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8115861Z   test_dispatch_meta_inplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8116061Z   test_dispatch_meta_inplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8116255Z   test_dispatch_meta_inplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8116454Z   test_dispatch_meta_inplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8116645Z   test_dispatch_meta_inplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8116834Z   test_dispatch_meta_inplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8117029Z   test_dispatch_meta_inplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8117227Z   test_dispatch_meta_inplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8117425Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8117620Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8117824Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118022Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118215Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118404Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118600Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118790Z   test_dispatch_meta_inplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8118984Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8119182Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8119383Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8119583Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8119767Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8119956Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8120177Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8120367Z   test_dispatch_meta_inplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8120558Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8120775Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8120975Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8121166Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8121361Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8121554Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8121746Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8121940Z   test_dispatch_meta_inplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8122134Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8122331Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8122527Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8122726Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8122919Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8123109Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8123307Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8123498Z   test_dispatch_meta_inplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8123706Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8123924Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8124133Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8124345Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8124564Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8124776Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8124986Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8125218Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8125432Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8125668Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8125876Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8126077Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8126289Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8126496Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8126703Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8126912Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8127403Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8127765Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8128126Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8128477Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8128826Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8129177Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8129525Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8129858Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8130198Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8130539Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8130886Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8131232Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8131596Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8131939Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8132278Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8132631Z   test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8132834Z   test_dispatch_meta_inplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8133029Z   test_dispatch_meta_inplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8133232Z   test_dispatch_meta_inplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8133423Z   test_dispatch_meta_inplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8133624Z   test_dispatch_meta_inplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8133822Z   test_dispatch_meta_inplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134015Z   test_dispatch_meta_inplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134210Z   test_dispatch_meta_inplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134404Z   test_dispatch_meta_inplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134598Z   test_dispatch_meta_inplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134790Z   test_dispatch_meta_inplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8134991Z   test_dispatch_meta_inplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8135180Z   test_dispatch_meta_inplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8135370Z   test_dispatch_meta_inplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8135570Z   test_dispatch_meta_inplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8135771Z   test_dispatch_meta_inplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8135960Z   test_dispatch_meta_inplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8136151Z   test_dispatch_meta_inplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8136367Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8136580Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8136794Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8137033Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8137247Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8137457Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8137684Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8137893Z   test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8138103Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8138318Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8138525Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8138737Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8139065Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8139275Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8139482Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8139693Z   test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8139890Z   test_dispatch_meta_inplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8140080Z   test_dispatch_meta_inplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8140274Z   test_dispatch_meta_inplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8140467Z   test_dispatch_meta_inplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8140661Z   test_dispatch_meta_inplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8140858Z   test_dispatch_meta_inplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8141050Z   test_dispatch_meta_inplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8141241Z   test_dispatch_meta_inplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8141434Z   test_dispatch_meta_inplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8141622Z   test_dispatch_meta_inplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8141817Z   test_dispatch_meta_inplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8142006Z   test_dispatch_meta_inplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8142235Z   test_dispatch_meta_inplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8142429Z   test_dispatch_meta_inplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8142623Z   test_dispatch_meta_inplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8142837Z   test_dispatch_meta_inplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143030Z   test_dispatch_meta_inplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143215Z   test_dispatch_meta_inplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143405Z   test_dispatch_meta_inplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143601Z   test_dispatch_meta_inplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143793Z   test_dispatch_meta_inplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8143983Z   test_dispatch_meta_inplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8144170Z   test_dispatch_meta_inplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8144359Z   test_dispatch_meta_inplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8144547Z   test_dispatch_meta_inplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8144734Z   test_dispatch_meta_inplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8144948Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8145163Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8145374Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8145583Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8145801Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8146008Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8146218Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8146428Z   test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8146782Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8147132Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8147504Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8147853Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8148199Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8148562Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8148906Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8149246Z   test_dispatch_meta_inplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8149450Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8149645Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8149845Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8150045Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8150290Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8150492Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8150691Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8150882Z   test_dispatch_meta_inplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8151095Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8151302Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8151511Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8151718Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8151920Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8152123Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8152332Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8152535Z   test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8152738Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8152949Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8153197Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8153403Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8153626Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8153824Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8154028Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8154222Z   test_dispatch_meta_inplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8154425Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8154630Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8154837Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8155037Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8155235Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8155434Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8155637Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8155835Z   test_dispatch_meta_inplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8156040Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8156238Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8156446Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8156651Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8156858Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8157057Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8157266Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8157464Z   test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8157663Z   test_dispatch_meta_inplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8157855Z   test_dispatch_meta_inplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8158082Z   test_dispatch_meta_inplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8158280Z   test_dispatch_meta_inplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8158470Z   test_dispatch_meta_inplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8158687Z   test_dispatch_meta_inplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8158881Z   test_dispatch_meta_inplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8159075Z   test_dispatch_meta_inplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8159268Z   test_dispatch_meta_inplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8159458Z   test_dispatch_meta_inplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8159651Z   test_dispatch_meta_inplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8159853Z   test_dispatch_meta_inplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8160043Z   test_dispatch_meta_inplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8160237Z   test_dispatch_meta_inplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8160428Z   test_dispatch_meta_inplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8160623Z   test_dispatch_meta_inplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8160814Z   test_dispatch_meta_inplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8161003Z   test_dispatch_meta_inplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8161229Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8161453Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8161677Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8161896Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8162115Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8162336Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8162549Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8162760Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8163000Z   test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8177202Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8177420Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8177687Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8177908Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8178115Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8178322Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8178534Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8178738Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8179088Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8179304Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8179517Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8179734Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8179939Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8180145Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8180354Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8180560Z   test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8180931Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8181292Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8181653Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8182011Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8182359Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8182753Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8183098Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8183441Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8183820Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8184174Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8184538Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8184891Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8185239Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8185581Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8185928Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8186273Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8186625Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8186977Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8187328Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8187675Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8188025Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8188368Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8188720Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8189063Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8189413Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8189792Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8190146Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8190627Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8190979Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8191322Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8191674Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8192019Z   test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.8192237Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8192446Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8192661Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8192875Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8193089Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8193299Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8193510Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8193715Z   test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8193920Z   test_dispatch_meta_inplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8194121Z   test_dispatch_meta_inplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8194322Z   test_dispatch_meta_inplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8194510Z   test_dispatch_meta_inplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8194704Z   test_dispatch_meta_inplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8194902Z   test_dispatch_meta_inplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8195093Z   test_dispatch_meta_inplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8195281Z   test_dispatch_meta_inplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8195507Z   test_dispatch_meta_inplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8195709Z   test_dispatch_meta_inplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8195928Z   test_dispatch_meta_inplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8196126Z   test_dispatch_meta_inplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8196320Z   test_dispatch_meta_inplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8196516Z   test_dispatch_meta_inplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8196709Z   test_dispatch_meta_inplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8196904Z   test_dispatch_meta_inplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8197098Z   test_dispatch_meta_inplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8197292Z   test_dispatch_meta_inplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8197485Z   test_dispatch_meta_inplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8197674Z   test_dispatch_meta_inplace_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8197869Z   test_dispatch_meta_inplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8198066Z   test_dispatch_meta_inplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8198259Z   test_dispatch_meta_inplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8198451Z   test_dispatch_meta_inplace_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8198634Z   test_dispatch_meta_inplace_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8198818Z   test_dispatch_meta_inplace_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199006Z   test_dispatch_meta_inplace_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199198Z   test_dispatch_meta_inplace_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199387Z   test_dispatch_meta_inplace_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199572Z   test_dispatch_meta_inplace_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199758Z   test_dispatch_meta_inplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8199960Z   test_dispatch_meta_inplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8200158Z   test_dispatch_meta_inplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8200356Z   test_dispatch_meta_inplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8200583Z   test_dispatch_meta_inplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8200782Z   test_dispatch_meta_inplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8200973Z   test_dispatch_meta_inplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8201239Z   test_dispatch_meta_inplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8201435Z   test_dispatch_meta_inplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8201626Z   test_dispatch_meta_inplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8201817Z   test_dispatch_meta_inplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8202009Z   test_dispatch_meta_inplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8202207Z   test_dispatch_meta_inplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8202410Z   test_dispatch_meta_inplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8202595Z   test_dispatch_meta_inplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8202800Z   test_dispatch_meta_inplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8203024Z   test_dispatch_meta_inplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8203259Z   test_dispatch_meta_inplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8203457Z   test_dispatch_meta_inplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8203652Z   test_dispatch_meta_inplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8203845Z   test_dispatch_meta_inplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204042Z   test_dispatch_meta_inplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204233Z   test_dispatch_meta_inplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204424Z   test_dispatch_meta_inplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204612Z   test_dispatch_meta_inplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204802Z   test_dispatch_meta_inplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8204959Z   test_dispatch_meta_inplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8205143Z   test_dispatch_meta_inplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8205301Z   test_dispatch_meta_inplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.418s)
2022-11-23T01:45:55.8205457Z   test_dispatch_meta_inplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.431s)
2022-11-23T01:45:55.8205613Z   test_dispatch_meta_inplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.425s)
2022-11-23T01:45:55.8205805Z   test_dispatch_meta_inplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8205961Z   test_dispatch_meta_inplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8206109Z   test_dispatch_meta_inplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8206315Z   test_dispatch_meta_inplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8206502Z   test_dispatch_meta_inplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8206683Z   test_dispatch_meta_inplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8206867Z   test_dispatch_meta_inplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8207048Z   test_dispatch_meta_inplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8207206Z   test_dispatch_meta_inplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8207391Z   test_dispatch_meta_inplace_square_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8207556Z   test_dispatch_meta_inplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8207709Z   test_dispatch_meta_inplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8207864Z   test_dispatch_meta_inplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208019Z   test_dispatch_meta_inplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208173Z   test_dispatch_meta_inplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208327Z   test_dispatch_meta_inplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208482Z   test_dispatch_meta_inplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208634Z   test_dispatch_meta_inplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208786Z   test_dispatch_meta_inplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8208934Z   test_dispatch_meta_inplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8209094Z   test_dispatch_meta_inplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8209245Z   test_dispatch_meta_inplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8209407Z   test_dispatch_meta_inplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8209564Z   test_dispatch_meta_inplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8209725Z   test_dispatch_meta_inplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8209881Z   test_dispatch_meta_inplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210031Z   test_dispatch_meta_inplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210186Z   test_dispatch_meta_inplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210337Z   test_dispatch_meta_inplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210491Z   test_dispatch_meta_inplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210645Z   test_dispatch_meta_inplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8210795Z   test_dispatch_meta_inplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8210945Z   test_dispatch_meta_inplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8211165Z   test_dispatch_meta_inplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8211360Z   test_dispatch_meta_inplace_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8211556Z   test_dispatch_meta_inplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8211775Z   test_dispatch_meta_inplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8211962Z   test_dispatch_meta_inplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8212151Z   test_dispatch_meta_inplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8212341Z   test_dispatch_meta_inplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8212528Z   test_dispatch_meta_inplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8212715Z   test_dispatch_meta_inplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8212906Z   test_dispatch_meta_inplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8213092Z   test_dispatch_meta_inplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8213276Z   test_dispatch_meta_inplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8213459Z   test_dispatch_meta_inplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8213643Z   test_dispatch_meta_inplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8213836Z   test_dispatch_meta_inplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214031Z   test_dispatch_meta_inplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214220Z   test_dispatch_meta_inplace_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214401Z   test_dispatch_meta_inplace_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214590Z   test_dispatch_meta_inplace_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214784Z   test_dispatch_meta_inplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8214986Z   test_dispatch_meta_inplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8215182Z   test_dispatch_meta_inplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8215374Z   test_dispatch_meta_inplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8215561Z   test_dispatch_meta_inplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8215749Z   test_dispatch_meta_inplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8215944Z   test_dispatch_meta_inplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8216136Z   test_dispatch_meta_inplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8216348Z   test_dispatch_meta_inplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8216536Z   test_dispatch_meta_inplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8216715Z   test_dispatch_meta_inplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8216871Z   test_dispatch_meta_inplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8217028Z   test_dispatch_meta_inplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8217176Z   test_dispatch_meta_inplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8217329Z   test_dispatch_meta_inplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8217478Z   test_dispatch_meta_inplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8217627Z   test_dispatch_meta_inplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8217778Z   test_dispatch_meta_inplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8217924Z   test_dispatch_meta_inplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8218072Z   test_dispatch_meta_inplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8218222Z   test_dispatch_meta_inplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8218367Z   test_dispatch_meta_inplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8218550Z   test_dispatch_meta_inplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8218735Z   test_dispatch_meta_inplace_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219043Z   test_dispatch_meta_inplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219237Z   test_dispatch_meta_inplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219424Z   test_dispatch_meta_inplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219612Z   test_dispatch_meta_inplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219802Z   test_dispatch_meta_inplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8219986Z   test_dispatch_meta_inplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8220172Z   test_dispatch_meta_inplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8220352Z   test_dispatch_meta_inplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8220539Z   test_dispatch_meta_inplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8220721Z   test_dispatch_meta_inplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8220906Z   test_dispatch_meta_inplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8221103Z   test_dispatch_meta_inplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8221294Z   test_dispatch_meta_inplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8221491Z   test_dispatch_meta_inplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8221732Z   test_dispatch_meta_inplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8221928Z   test_dispatch_meta_inplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8222149Z   test_dispatch_meta_inplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8222336Z   test_dispatch_meta_inplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8222531Z   test_dispatch_meta_inplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8222720Z   test_dispatch_meta_inplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8222913Z   test_dispatch_meta_inplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8223102Z   test_dispatch_meta_inplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8223289Z   test_dispatch_meta_inplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8223481Z   test_dispatch_meta_inplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8223669Z   test_dispatch_meta_inplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8223853Z   test_dispatch_meta_inplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8224039Z   test_dispatch_meta_inplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8224229Z   test_dispatch_meta_inplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8224427Z   test_dispatch_meta_inplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8224621Z   test_dispatch_meta_inplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8224818Z   test_dispatch_meta_inplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8225011Z   test_dispatch_meta_inplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8225200Z   test_dispatch_meta_inplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8225354Z   test_dispatch_meta_inplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8225506Z   test_dispatch_meta_inplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8225662Z   test_dispatch_meta_inplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8225810Z   test_dispatch_meta_inplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8225961Z   test_dispatch_meta_inplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226106Z   test_dispatch_meta_inplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226249Z   test_dispatch_meta_inplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226400Z   test_dispatch_meta_inplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226548Z   test_dispatch_meta_inplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226695Z   test_dispatch_meta_inplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8226870Z   test_dispatch_meta_inplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8227018Z   test_dispatch_meta_inplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8227216Z   test_dispatch_meta_inplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8227437Z   test_dispatch_meta_inplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8227640Z   test_dispatch_meta_inplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8227842Z   test_dispatch_meta_inplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8228039Z   test_dispatch_meta_inplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8228234Z   test_dispatch_meta_inplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8228422Z   test_dispatch_meta_inplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8228619Z   test_dispatch_meta_inplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8228814Z   test_dispatch_meta_inplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229013Z   test_dispatch_meta_inplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229202Z   test_dispatch_meta_inplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229397Z   test_dispatch_meta_inplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229589Z   test_dispatch_meta_inplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229777Z   test_dispatch_meta_inplace_take_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8229972Z   test_dispatch_meta_inplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8230166Z   test_dispatch_meta_inplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8230430Z   test_dispatch_meta_inplace_take_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8230622Z   test_dispatch_meta_inplace_take_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8230813Z   test_dispatch_meta_inplace_take_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8230998Z   test_dispatch_meta_inplace_take_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8231178Z   test_dispatch_meta_inplace_take_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8231365Z   test_dispatch_meta_inplace_take_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8231552Z   test_dispatch_meta_inplace_take_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8231732Z   test_dispatch_meta_inplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8231888Z   test_dispatch_meta_inplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8232098Z   test_dispatch_meta_inplace_tan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8232257Z   test_dispatch_meta_inplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8232413Z   test_dispatch_meta_inplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8232592Z   test_dispatch_meta_inplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8232740Z   test_dispatch_meta_inplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8232888Z   test_dispatch_meta_inplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8233033Z   test_dispatch_meta_inplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8233216Z   test_dispatch_meta_inplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8233397Z   test_dispatch_meta_inplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8233579Z   test_dispatch_meta_inplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8233760Z   test_dispatch_meta_inplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8233940Z   test_dispatch_meta_inplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8234093Z   test_dispatch_meta_inplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8234262Z   test_dispatch_meta_inplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8234418Z   test_dispatch_meta_inplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8234575Z   test_dispatch_meta_inplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8234735Z   test_dispatch_meta_inplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8234889Z   test_dispatch_meta_inplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8235040Z   test_dispatch_meta_inplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8235194Z   test_dispatch_meta_inplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8235378Z   test_dispatch_meta_inplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8235552Z   test_dispatch_meta_inplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8235733Z   test_dispatch_meta_inplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8235912Z   test_dispatch_meta_inplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8236093Z   test_dispatch_meta_inplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8236295Z   test_dispatch_meta_inplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8236490Z   test_dispatch_meta_inplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8236696Z   test_dispatch_meta_inplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8236893Z   test_dispatch_meta_inplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8237090Z   test_dispatch_meta_inplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8237287Z   test_dispatch_meta_inplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8237500Z   test_dispatch_meta_inplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8237695Z   test_dispatch_meta_inplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8237912Z   test_dispatch_meta_inplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8238107Z   test_dispatch_meta_inplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8238300Z   test_dispatch_meta_inplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8238492Z   test_dispatch_meta_inplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8238686Z   test_dispatch_meta_inplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8238883Z   test_dispatch_meta_inplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8239083Z   test_dispatch_meta_inplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8239280Z   test_dispatch_meta_inplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8239466Z   test_dispatch_meta_inplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8239660Z   test_dispatch_meta_inplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8239849Z   test_dispatch_meta_inplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240036Z   test_dispatch_meta_inplace_tile_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240228Z   test_dispatch_meta_inplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240424Z   test_dispatch_meta_inplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240612Z   test_dispatch_meta_inplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240796Z   test_dispatch_meta_inplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8240983Z   test_dispatch_meta_inplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8241170Z   test_dispatch_meta_inplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8241349Z   test_dispatch_meta_inplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8241538Z   test_dispatch_meta_inplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8241727Z   test_dispatch_meta_inplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8241910Z   test_dispatch_meta_inplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8242098Z   test_dispatch_meta_inplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8242284Z   test_dispatch_meta_inplace_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8242508Z   test_dispatch_meta_inplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8242699Z   test_dispatch_meta_inplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8242882Z   test_dispatch_meta_inplace_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243091Z   test_dispatch_meta_inplace_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243270Z   test_dispatch_meta_inplace_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243454Z   test_dispatch_meta_inplace_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243634Z   test_dispatch_meta_inplace_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243811Z   test_dispatch_meta_inplace_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8243996Z   test_dispatch_meta_inplace_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8244173Z   test_dispatch_meta_inplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8244371Z   test_dispatch_meta_inplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8244561Z   test_dispatch_meta_inplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8244758Z   test_dispatch_meta_inplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8244949Z   test_dispatch_meta_inplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8245143Z   test_dispatch_meta_inplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8245335Z   test_dispatch_meta_inplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8245524Z   test_dispatch_meta_inplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8245716Z   test_dispatch_meta_inplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8245907Z   test_dispatch_meta_inplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8246093Z   test_dispatch_meta_inplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8246284Z   test_dispatch_meta_inplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8246472Z   test_dispatch_meta_inplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8246663Z   test_dispatch_meta_inplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8246845Z   test_dispatch_meta_inplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247031Z   test_dispatch_meta_inplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247217Z   test_dispatch_meta_inplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247401Z   test_dispatch_meta_inplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247610Z   test_dispatch_meta_inplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247796Z   test_dispatch_meta_inplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8247981Z   test_dispatch_meta_inplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8248186Z   test_dispatch_meta_inplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8248379Z   test_dispatch_meta_inplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8248563Z   test_dispatch_meta_inplace_trace_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8248749Z   test_dispatch_meta_inplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8248943Z   test_dispatch_meta_inplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8249134Z   test_dispatch_meta_inplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8249321Z   test_dispatch_meta_inplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8249512Z   test_dispatch_meta_inplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8249696Z   test_dispatch_meta_inplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8249882Z   test_dispatch_meta_inplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8250072Z   test_dispatch_meta_inplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8250263Z   test_dispatch_meta_inplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8250446Z   test_dispatch_meta_inplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8250623Z   test_dispatch_meta_inplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8250790Z   test_dispatch_meta_inplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8250947Z   test_dispatch_meta_inplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251112Z   test_dispatch_meta_inplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251277Z   test_dispatch_meta_inplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251440Z   test_dispatch_meta_inplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251601Z   test_dispatch_meta_inplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251762Z   test_dispatch_meta_inplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8251909Z   test_dispatch_meta_inplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252069Z   test_dispatch_meta_inplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252225Z   test_dispatch_meta_inplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252381Z   test_dispatch_meta_inplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252539Z   test_dispatch_meta_inplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252692Z   test_dispatch_meta_inplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8252918Z   test_dispatch_meta_inplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8253123Z   test_dispatch_meta_inplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8253322Z   test_dispatch_meta_inplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8253532Z   test_dispatch_meta_inplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8253728Z   test_dispatch_meta_inplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8253925Z   test_dispatch_meta_inplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8254119Z   test_dispatch_meta_inplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8254314Z   test_dispatch_meta_inplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8254502Z   test_dispatch_meta_inplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8254698Z   test_dispatch_meta_inplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8254886Z   test_dispatch_meta_inplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8255073Z   test_dispatch_meta_inplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8255266Z   test_dispatch_meta_inplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8255452Z   test_dispatch_meta_inplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8255643Z   test_dispatch_meta_inplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8255832Z   test_dispatch_meta_inplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256019Z   test_dispatch_meta_inplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256207Z   test_dispatch_meta_inplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256392Z   test_dispatch_meta_inplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256580Z   test_dispatch_meta_inplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256768Z   test_dispatch_meta_inplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8256953Z   test_dispatch_meta_inplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8257160Z   test_dispatch_meta_inplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8257361Z   test_dispatch_meta_inplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8257565Z   test_dispatch_meta_inplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8257759Z   test_dispatch_meta_inplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8257911Z   test_dispatch_meta_inplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8258091Z   test_dispatch_meta_inplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8258251Z   test_dispatch_meta_inplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8258406Z   test_dispatch_meta_inplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8258583Z   test_dispatch_meta_inplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8258735Z   test_dispatch_meta_inplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8258984Z   test_dispatch_meta_inplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8259138Z   test_dispatch_meta_inplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8259285Z   test_dispatch_meta_inplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8259432Z   test_dispatch_meta_inplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8259584Z   test_dispatch_meta_inplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8259731Z   test_dispatch_meta_inplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8259926Z   test_dispatch_meta_inplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8260123Z   test_dispatch_meta_inplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8260271Z   test_dispatch_meta_inplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8260420Z   test_dispatch_meta_inplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8260575Z   test_dispatch_meta_inplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8260730Z   test_dispatch_meta_inplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8260883Z   test_dispatch_meta_inplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261032Z   test_dispatch_meta_inplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261183Z   test_dispatch_meta_inplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261332Z   test_dispatch_meta_inplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261475Z   test_dispatch_meta_inplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261611Z   test_dispatch_meta_inplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261757Z   test_dispatch_meta_inplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8261900Z   test_dispatch_meta_inplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8262094Z   test_dispatch_meta_inplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8262288Z   test_dispatch_meta_inplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8262455Z   test_dispatch_meta_inplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8262650Z   test_dispatch_meta_inplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8262819Z   test_dispatch_meta_inplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263011Z   test_dispatch_meta_inplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263192Z   test_dispatch_meta_inplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263351Z   test_dispatch_meta_inplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263554Z   test_dispatch_meta_inplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263711Z   test_dispatch_meta_inplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8263903Z   test_dispatch_meta_inplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8264123Z   test_dispatch_meta_inplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8264314Z   test_dispatch_meta_inplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8264508Z   test_dispatch_meta_inplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8264693Z   test_dispatch_meta_inplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:55.8264847Z   test_dispatch_meta_inplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265003Z   test_dispatch_meta_inplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265157Z   test_dispatch_meta_inplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265314Z   test_dispatch_meta_inplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265466Z   test_dispatch_meta_inplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265614Z   test_dispatch_meta_inplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265759Z   test_dispatch_meta_inplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8265911Z   test_dispatch_meta_inplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8266050Z   test_dispatch_meta_inplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8266249Z   test_dispatch_meta_inplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8266441Z   test_dispatch_meta_inplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8266636Z   test_dispatch_meta_inplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8266834Z   test_dispatch_meta_inplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267030Z   test_dispatch_meta_inplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267221Z   test_dispatch_meta_inplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267410Z   test_dispatch_meta_inplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267600Z   test_dispatch_meta_inplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267787Z   test_dispatch_meta_inplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8267972Z   test_dispatch_meta_inplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8268160Z   test_dispatch_meta_inplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8268349Z   test_dispatch_meta_inplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8268532Z   test_dispatch_meta_inplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8268754Z   test_dispatch_meta_inplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8268949Z   test_dispatch_meta_inplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8269148Z   test_dispatch_meta_inplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8269382Z   test_dispatch_meta_inplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8269580Z   test_dispatch_meta_inplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8269774Z   test_dispatch_meta_inplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8269962Z   test_dispatch_meta_inplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8270158Z   test_dispatch_meta_inplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8270420Z   test_dispatch_meta_inplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8270639Z   test_dispatch_meta_inplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8270830Z   test_dispatch_meta_inplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271020Z   test_dispatch_meta_inplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271205Z   test_dispatch_meta_inplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271401Z   test_dispatch_meta_inplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271597Z   test_dispatch_meta_inplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271798Z   test_dispatch_meta_inplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8271992Z   test_dispatch_meta_inplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8272192Z   test_dispatch_meta_inplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8272389Z   test_dispatch_meta_inplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8272584Z   test_dispatch_meta_inplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8272780Z   test_dispatch_meta_inplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8272970Z   test_dispatch_meta_inplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8273162Z   test_dispatch_meta_inplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8273355Z   test_dispatch_meta_inplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8273547Z   test_dispatch_meta_inplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8273734Z   test_dispatch_meta_inplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8273919Z   test_dispatch_meta_inplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8274133Z   test_dispatch_meta_inplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8274331Z   test_dispatch_meta_inplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8274548Z   test_dispatch_meta_inplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8274738Z   test_dispatch_meta_inplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8274927Z   test_dispatch_meta_inplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8275113Z   test_dispatch_meta_inplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8275299Z   test_dispatch_meta_inplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8275486Z   test_dispatch_meta_inplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8275667Z   test_dispatch_meta_inplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8275852Z   test_dispatch_meta_inplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8276038Z   test_dispatch_meta_inplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8276228Z   test_dispatch_meta_inplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8276387Z   test_dispatch_meta_inplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8276551Z   test_dispatch_meta_inplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8276712Z   test_dispatch_meta_inplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8276871Z   test_dispatch_meta_inplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8277026Z   test_dispatch_meta_inplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8277183Z   test_dispatch_meta_inplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8277381Z   test_dispatch_meta_inplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8277586Z   test_dispatch_meta_inplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8277794Z   test_dispatch_meta_inplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8277998Z   test_dispatch_meta_inplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8278200Z   test_dispatch_meta_inplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8278396Z   test_dispatch_meta_inplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8278589Z   test_dispatch_meta_inplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8278790Z   test_dispatch_meta_inplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8278983Z   test_dispatch_meta_inplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8279207Z   test_dispatch_meta_inplace_unique_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8279391Z   test_dispatch_meta_inplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8279579Z   test_dispatch_meta_inplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8279786Z   test_dispatch_meta_inplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8279973Z   test_dispatch_meta_inplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8280160Z   test_dispatch_meta_inplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8280344Z   test_dispatch_meta_inplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8280535Z   test_dispatch_meta_inplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8280720Z   test_dispatch_meta_inplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8280882Z   test_dispatch_meta_inplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281044Z   test_dispatch_meta_inplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281203Z   test_dispatch_meta_inplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281365Z   test_dispatch_meta_inplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281527Z   test_dispatch_meta_inplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281686Z   test_dispatch_meta_inplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8281846Z   test_dispatch_meta_inplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8281998Z   test_dispatch_meta_inplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282154Z   test_dispatch_meta_inplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282313Z   test_dispatch_meta_inplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282462Z   test_dispatch_meta_inplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282618Z   test_dispatch_meta_inplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282769Z   test_dispatch_meta_inplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8282956Z   test_dispatch_meta_inplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8283154Z   test_dispatch_meta_inplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8283346Z   test_dispatch_meta_inplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8283534Z   test_dispatch_meta_inplace_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8283721Z   test_dispatch_meta_inplace_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8283909Z   test_dispatch_meta_inplace_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8284096Z   test_dispatch_meta_inplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8284297Z   test_dispatch_meta_inplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8284559Z   test_dispatch_meta_inplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8284757Z   test_dispatch_meta_inplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8284971Z   test_dispatch_meta_inplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8285163Z   test_dispatch_meta_inplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8285355Z   test_dispatch_meta_inplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8285550Z   test_dispatch_meta_inplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8285745Z   test_dispatch_meta_inplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8285933Z   test_dispatch_meta_inplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8286114Z   test_dispatch_meta_inplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8286302Z   test_dispatch_meta_inplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8286502Z   test_dispatch_meta_inplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8286695Z   test_dispatch_meta_inplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8286888Z   test_dispatch_meta_inplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8287080Z   test_dispatch_meta_inplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8287264Z   test_dispatch_meta_inplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8287462Z   test_dispatch_meta_inplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8287658Z   test_dispatch_meta_inplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8287853Z   test_dispatch_meta_inplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288037Z   test_dispatch_meta_inplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288227Z   test_dispatch_meta_inplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288417Z   test_dispatch_meta_inplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288604Z   test_dispatch_meta_inplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288793Z   test_dispatch_meta_inplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8288975Z   test_dispatch_meta_inplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8289165Z   test_dispatch_meta_inplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8289355Z   test_dispatch_meta_inplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8289582Z   test_dispatch_meta_inplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8289781Z   test_dispatch_meta_inplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8289970Z   test_dispatch_meta_inplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8290186Z   test_dispatch_meta_inplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8290380Z   test_dispatch_meta_inplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8290571Z   test_dispatch_meta_inplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8290764Z   test_dispatch_meta_inplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8290956Z   test_dispatch_meta_inplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8291146Z   test_dispatch_meta_inplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8291332Z   test_dispatch_meta_inplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8291521Z   test_dispatch_meta_inplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8291704Z   test_dispatch_meta_inplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8291883Z   test_dispatch_meta_inplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8292071Z   test_dispatch_meta_inplace_view_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8292263Z   test_dispatch_meta_inplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8292454Z   test_dispatch_meta_inplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8292646Z   test_dispatch_meta_inplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8292832Z   test_dispatch_meta_inplace_view_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293017Z   test_dispatch_meta_inplace_view_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293205Z   test_dispatch_meta_inplace_view_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293394Z   test_dispatch_meta_inplace_view_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293582Z   test_dispatch_meta_inplace_view_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293761Z   test_dispatch_meta_inplace_view_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8293950Z   test_dispatch_meta_inplace_view_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8294133Z   test_dispatch_meta_inplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8294327Z   test_dispatch_meta_inplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8294517Z   test_dispatch_meta_inplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8294732Z   test_dispatch_meta_inplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8294928Z   test_dispatch_meta_inplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8295120Z   test_dispatch_meta_inplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8295333Z   test_dispatch_meta_inplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8295522Z   test_dispatch_meta_inplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8295701Z   test_dispatch_meta_inplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8295888Z   test_dispatch_meta_inplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8296077Z   test_dispatch_meta_inplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8296263Z   test_dispatch_meta_inplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8296453Z   test_dispatch_meta_inplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8296637Z   test_dispatch_meta_inplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8296828Z   test_dispatch_meta_inplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297011Z   test_dispatch_meta_inplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297210Z   test_dispatch_meta_inplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297404Z   test_dispatch_meta_inplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297590Z   test_dispatch_meta_inplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297781Z   test_dispatch_meta_inplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8297970Z   test_dispatch_meta_inplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8298152Z   test_dispatch_meta_inplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8298336Z   test_dispatch_meta_inplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8298522Z   test_dispatch_meta_inplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8298710Z   test_dispatch_meta_inplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299000Z   test_dispatch_meta_inplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299188Z   test_dispatch_meta_inplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299371Z   test_dispatch_meta_inplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299558Z   test_dispatch_meta_inplace_where_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299751Z   test_dispatch_meta_inplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8299986Z   test_dispatch_meta_inplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8300182Z   test_dispatch_meta_inplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8300372Z   test_dispatch_meta_inplace_where_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8300588Z   test_dispatch_meta_inplace_where_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8300775Z   test_dispatch_meta_inplace_where_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8300967Z   test_dispatch_meta_inplace_where_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8301155Z   test_dispatch_meta_inplace_where_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8301338Z   test_dispatch_meta_inplace_where_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8301521Z   test_dispatch_meta_inplace_where_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8301708Z   test_dispatch_meta_inplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8301867Z   test_dispatch_meta_inplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8302051Z   test_dispatch_meta_inplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8302205Z   test_dispatch_meta_inplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8302360Z   test_dispatch_meta_inplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8302517Z   test_dispatch_meta_inplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8302699Z   test_dispatch_meta_inplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8302870Z   test_dispatch_meta_inplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8303056Z   test_dispatch_meta_inplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8303235Z   test_dispatch_meta_inplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8303417Z   test_dispatch_meta_inplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.8303573Z   test_dispatch_meta_inplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8303727Z   test_dispatch_meta_inplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8303888Z   test_dispatch_meta_inplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304045Z   test_dispatch_meta_inplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304197Z   test_dispatch_meta_inplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304345Z   test_dispatch_meta_inplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304497Z   test_dispatch_meta_inplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304649Z   test_dispatch_meta_inplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304797Z   test_dispatch_meta_inplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8304941Z   test_dispatch_meta_inplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8305092Z   test_dispatch_meta_inplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8305262Z   test_dispatch_meta_inplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8305456Z   test_dispatch_meta_inplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8305645Z   test_dispatch_meta_inplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8305855Z   test_dispatch_meta_inplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8306048Z   test_dispatch_meta_inplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8306246Z   test_dispatch_meta_inplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8306434Z   test_dispatch_meta_inplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8306627Z   test_dispatch_meta_inplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8306812Z   test_dispatch_meta_inplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307002Z   test_dispatch_meta_inplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307192Z   test_dispatch_meta_inplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307378Z   test_dispatch_meta_inplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307557Z   test_dispatch_meta_inplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307742Z   test_dispatch_meta_inplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8307940Z   test_dispatch_meta_inplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8308132Z   test_dispatch_meta_inplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8308332Z   test_dispatch_meta_inplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8308528Z   test_dispatch_meta_inplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8308725Z   test_dispatch_meta_inplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8308920Z   test_dispatch_meta_inplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8309120Z   test_dispatch_meta_inplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8309313Z   test_dispatch_meta_inplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8309497Z   test_dispatch_meta_inplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8309692Z   test_dispatch_meta_inplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8309879Z   test_dispatch_meta_inplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8310071Z   test_dispatch_meta_inplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8310329Z   test_dispatch_meta_inplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.8310530Z   test_dispatch_meta_outplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8310687Z   test_dispatch_meta_outplace_H_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8310845Z   test_dispatch_meta_outplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8311024Z   test_dispatch_meta_outplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8311174Z   test_dispatch_meta_outplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8311327Z   test_dispatch_meta_outplace_H_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8311472Z   test_dispatch_meta_outplace_H_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8311618Z   test_dispatch_meta_outplace_H_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8311770Z   test_dispatch_meta_outplace_H_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8311921Z   test_dispatch_meta_outplace_H_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8312064Z   test_dispatch_meta_outplace_H_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8312212Z   test_dispatch_meta_outplace_H_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8312364Z   test_dispatch_meta_outplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8312508Z   test_dispatch_meta_outplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8312654Z   test_dispatch_meta_outplace_T_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8312806Z   test_dispatch_meta_outplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8312960Z   test_dispatch_meta_outplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8313112Z   test_dispatch_meta_outplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8313262Z   test_dispatch_meta_outplace_T_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8313407Z   test_dispatch_meta_outplace_T_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8313551Z   test_dispatch_meta_outplace_T_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8313695Z   test_dispatch_meta_outplace_T_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8313839Z   test_dispatch_meta_outplace_T_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8313982Z   test_dispatch_meta_outplace_T_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8314128Z   test_dispatch_meta_outplace_T_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8314274Z   test_dispatch_meta_outplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8314439Z   test_dispatch_meta_outplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8314601Z   test_dispatch_meta_outplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8314767Z   test_dispatch_meta_outplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8314925Z   test_dispatch_meta_outplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315093Z   test_dispatch_meta_outplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315256Z   test_dispatch_meta_outplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315418Z   test_dispatch_meta_outplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315577Z   test_dispatch_meta_outplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315735Z   test_dispatch_meta_outplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8315932Z   test_dispatch_meta_outplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8316089Z   test_dispatch_meta_outplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8316246Z   test_dispatch_meta_outplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8316414Z   test_dispatch_meta_outplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8316568Z   test_dispatch_meta_outplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8316724Z   test_dispatch_meta_outplace___radd___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8316882Z   test_dispatch_meta_outplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317041Z   test_dispatch_meta_outplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317201Z   test_dispatch_meta_outplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8317356Z   test_dispatch_meta_outplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317506Z   test_dispatch_meta_outplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317655Z   test_dispatch_meta_outplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317810Z   test_dispatch_meta_outplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8317960Z   test_dispatch_meta_outplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318111Z   test_dispatch_meta_outplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318261Z   test_dispatch_meta_outplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318415Z   test_dispatch_meta_outplace___rand___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318571Z   test_dispatch_meta_outplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318724Z   test_dispatch_meta_outplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8318872Z   test_dispatch_meta_outplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8319016Z   test_dispatch_meta_outplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8319169Z   test_dispatch_meta_outplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8319327Z   test_dispatch_meta_outplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8319475Z   test_dispatch_meta_outplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8319636Z   test_dispatch_meta_outplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8319797Z   test_dispatch_meta_outplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8319957Z   test_dispatch_meta_outplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8320111Z   test_dispatch_meta_outplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8320258Z   test_dispatch_meta_outplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8320410Z   test_dispatch_meta_outplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8320561Z   test_dispatch_meta_outplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8320705Z   test_dispatch_meta_outplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8320856Z   test_dispatch_meta_outplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8321003Z   test_dispatch_meta_outplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8321193Z   test_dispatch_meta_outplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8321361Z   test_dispatch_meta_outplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8321527Z   test_dispatch_meta_outplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8321710Z   test_dispatch_meta_outplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8321867Z   test_dispatch_meta_outplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8322027Z   test_dispatch_meta_outplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8322183Z   test_dispatch_meta_outplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8322337Z   test_dispatch_meta_outplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8322491Z   test_dispatch_meta_outplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8322640Z   test_dispatch_meta_outplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8322792Z   test_dispatch_meta_outplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8322945Z   test_dispatch_meta_outplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8323089Z   test_dispatch_meta_outplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8323243Z   test_dispatch_meta_outplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8323391Z   test_dispatch_meta_outplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8323547Z   test_dispatch_meta_outplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8323697Z   test_dispatch_meta_outplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8323858Z   test_dispatch_meta_outplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324019Z   test_dispatch_meta_outplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324173Z   test_dispatch_meta_outplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8324323Z   test_dispatch_meta_outplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324477Z   test_dispatch_meta_outplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324629Z   test_dispatch_meta_outplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324777Z   test_dispatch_meta_outplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8324924Z   test_dispatch_meta_outplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325077Z   test_dispatch_meta_outplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325226Z   test_dispatch_meta_outplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325379Z   test_dispatch_meta_outplace___ror___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325527Z   test_dispatch_meta_outplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325676Z   test_dispatch_meta_outplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325825Z   test_dispatch_meta_outplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8325972Z   test_dispatch_meta_outplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8326121Z   test_dispatch_meta_outplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8326278Z   test_dispatch_meta_outplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8326471Z   test_dispatch_meta_outplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8326631Z   test_dispatch_meta_outplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8326783Z   test_dispatch_meta_outplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8326954Z   test_dispatch_meta_outplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327104Z   test_dispatch_meta_outplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327252Z   test_dispatch_meta_outplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327402Z   test_dispatch_meta_outplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327552Z   test_dispatch_meta_outplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327705Z   test_dispatch_meta_outplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8327854Z   test_dispatch_meta_outplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8328010Z   test_dispatch_meta_outplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8328165Z   test_dispatch_meta_outplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8328322Z   test_dispatch_meta_outplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8328473Z   test_dispatch_meta_outplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8328625Z   test_dispatch_meta_outplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8328775Z   test_dispatch_meta_outplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8328923Z   test_dispatch_meta_outplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329075Z   test_dispatch_meta_outplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329223Z   test_dispatch_meta_outplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329374Z   test_dispatch_meta_outplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329518Z   test_dispatch_meta_outplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329669Z   test_dispatch_meta_outplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329818Z   test_dispatch_meta_outplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8329967Z   test_dispatch_meta_outplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8330113Z   test_dispatch_meta_outplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8330266Z   test_dispatch_meta_outplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8330414Z   test_dispatch_meta_outplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8330595Z   test_dispatch_meta_outplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8330775Z   test_dispatch_meta_outplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8330945Z   test_dispatch_meta_outplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8331118Z   test_dispatch_meta_outplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8331272Z   test_dispatch_meta_outplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8331424Z   test_dispatch_meta_outplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8331578Z   test_dispatch_meta_outplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.168s)
2022-11-23T01:45:55.8331756Z   test_dispatch_meta_outplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.170s)
2022-11-23T01:45:55.8331913Z   test_dispatch_meta_outplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.165s)
2022-11-23T01:45:55.8332065Z   test_dispatch_meta_outplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8332235Z   test_dispatch_meta_outplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8332388Z   test_dispatch_meta_outplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8332539Z   test_dispatch_meta_outplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8332688Z   test_dispatch_meta_outplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8332833Z   test_dispatch_meta_outplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8332986Z   test_dispatch_meta_outplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8333132Z   test_dispatch_meta_outplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8333286Z   test_dispatch_meta_outplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8333431Z   test_dispatch_meta_outplace_acos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8333592Z   test_dispatch_meta_outplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8333746Z   test_dispatch_meta_outplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8333896Z   test_dispatch_meta_outplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334051Z   test_dispatch_meta_outplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334204Z   test_dispatch_meta_outplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334358Z   test_dispatch_meta_outplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334510Z   test_dispatch_meta_outplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334658Z   test_dispatch_meta_outplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334800Z   test_dispatch_meta_outplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8334948Z   test_dispatch_meta_outplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335092Z   test_dispatch_meta_outplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335246Z   test_dispatch_meta_outplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335399Z   test_dispatch_meta_outplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335560Z   test_dispatch_meta_outplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335721Z   test_dispatch_meta_outplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8335880Z   test_dispatch_meta_outplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336029Z   test_dispatch_meta_outplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336185Z   test_dispatch_meta_outplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336338Z   test_dispatch_meta_outplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336493Z   test_dispatch_meta_outplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336646Z   test_dispatch_meta_outplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336798Z   test_dispatch_meta_outplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8336949Z   test_dispatch_meta_outplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8337126Z   test_dispatch_meta_outplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8337279Z   test_dispatch_meta_outplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8337423Z   test_dispatch_meta_outplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8337603Z   test_dispatch_meta_outplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8337756Z   test_dispatch_meta_outplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8337910Z   test_dispatch_meta_outplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8338064Z   test_dispatch_meta_outplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8338216Z   test_dispatch_meta_outplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8338369Z   test_dispatch_meta_outplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8338518Z   test_dispatch_meta_outplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8338658Z   test_dispatch_meta_outplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8338959Z   test_dispatch_meta_outplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8339170Z   test_dispatch_meta_outplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8339360Z   test_dispatch_meta_outplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8339525Z   test_dispatch_meta_outplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8339689Z   test_dispatch_meta_outplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8339850Z   test_dispatch_meta_outplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8340008Z   test_dispatch_meta_outplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8340155Z   test_dispatch_meta_outplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8340313Z   test_dispatch_meta_outplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8340477Z   test_dispatch_meta_outplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8340640Z   test_dispatch_meta_outplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8340800Z   test_dispatch_meta_outplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8340957Z   test_dispatch_meta_outplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8341114Z   test_dispatch_meta_outplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8341267Z   test_dispatch_meta_outplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8341428Z   test_dispatch_meta_outplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8341581Z   test_dispatch_meta_outplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8341740Z   test_dispatch_meta_outplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8341894Z   test_dispatch_meta_outplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8342047Z   test_dispatch_meta_outplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8342198Z   test_dispatch_meta_outplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8342352Z   test_dispatch_meta_outplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8342508Z   test_dispatch_meta_outplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8342722Z   test_dispatch_meta_outplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8342874Z   test_dispatch_meta_outplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8343027Z   test_dispatch_meta_outplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8343210Z   test_dispatch_meta_outplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8343370Z   test_dispatch_meta_outplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8343528Z   test_dispatch_meta_outplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8343681Z   test_dispatch_meta_outplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8343836Z   test_dispatch_meta_outplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8343990Z   test_dispatch_meta_outplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8344166Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8344335Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8344510Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8344683Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8344849Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8345011Z   test_dispatch_meta_outplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8345167Z   test_dispatch_meta_outplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8345328Z   test_dispatch_meta_outplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8345489Z   test_dispatch_meta_outplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8345634Z   test_dispatch_meta_outplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8345786Z   test_dispatch_meta_outplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8345942Z   test_dispatch_meta_outplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8346095Z   test_dispatch_meta_outplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8346247Z   test_dispatch_meta_outplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8346402Z   test_dispatch_meta_outplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8346557Z   test_dispatch_meta_outplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8346712Z   test_dispatch_meta_outplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8346868Z   test_dispatch_meta_outplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8347015Z   test_dispatch_meta_outplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8347171Z   test_dispatch_meta_outplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8347322Z   test_dispatch_meta_outplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8347467Z   test_dispatch_meta_outplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8347621Z   test_dispatch_meta_outplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8347766Z   test_dispatch_meta_outplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8347919Z   test_dispatch_meta_outplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8348099Z   test_dispatch_meta_outplace_all_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8348250Z   test_dispatch_meta_outplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8348406Z   test_dispatch_meta_outplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8348560Z   test_dispatch_meta_outplace_all_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8348735Z   test_dispatch_meta_outplace_all_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8348888Z   test_dispatch_meta_outplace_all_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8349038Z   test_dispatch_meta_outplace_all_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8349185Z   test_dispatch_meta_outplace_all_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8349331Z   test_dispatch_meta_outplace_all_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8349482Z   test_dispatch_meta_outplace_all_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8349621Z   test_dispatch_meta_outplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8349781Z   test_dispatch_meta_outplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.242s)
2022-11-23T01:45:55.8349947Z   test_dispatch_meta_outplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.235s)
2022-11-23T01:45:55.8350111Z   test_dispatch_meta_outplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.235s)
2022-11-23T01:45:55.8350366Z   test_dispatch_meta_outplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.248s)
2022-11-23T01:45:55.8350537Z   test_dispatch_meta_outplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.234s)
2022-11-23T01:45:55.8350691Z   test_dispatch_meta_outplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.234s)
2022-11-23T01:45:55.8350846Z   test_dispatch_meta_outplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8350994Z   test_dispatch_meta_outplace_amax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8351149Z   test_dispatch_meta_outplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8351303Z   test_dispatch_meta_outplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8351461Z   test_dispatch_meta_outplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8351613Z   test_dispatch_meta_outplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8351762Z   test_dispatch_meta_outplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8351909Z   test_dispatch_meta_outplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8352059Z   test_dispatch_meta_outplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8352199Z   test_dispatch_meta_outplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8352355Z   test_dispatch_meta_outplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8352504Z   test_dispatch_meta_outplace_amin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8352659Z   test_dispatch_meta_outplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8352815Z   test_dispatch_meta_outplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8352968Z   test_dispatch_meta_outplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353118Z   test_dispatch_meta_outplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353264Z   test_dispatch_meta_outplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353408Z   test_dispatch_meta_outplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353549Z   test_dispatch_meta_outplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353731Z   test_dispatch_meta_outplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8353894Z   test_dispatch_meta_outplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8354045Z   test_dispatch_meta_outplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8354229Z   test_dispatch_meta_outplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8354387Z   test_dispatch_meta_outplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8354540Z   test_dispatch_meta_outplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8354695Z   test_dispatch_meta_outplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8354843Z   test_dispatch_meta_outplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8354999Z   test_dispatch_meta_outplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8355153Z   test_dispatch_meta_outplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8355307Z   test_dispatch_meta_outplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8355464Z   test_dispatch_meta_outplace_angle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8355622Z   test_dispatch_meta_outplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.199s)
2022-11-23T01:45:55.8355779Z   test_dispatch_meta_outplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.195s)
2022-11-23T01:45:55.8355935Z   test_dispatch_meta_outplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:55.8356087Z   test_dispatch_meta_outplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8356233Z   test_dispatch_meta_outplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8356388Z   test_dispatch_meta_outplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8356542Z   test_dispatch_meta_outplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8356694Z   test_dispatch_meta_outplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8356850Z   test_dispatch_meta_outplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8357005Z   test_dispatch_meta_outplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8357157Z   test_dispatch_meta_outplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8357309Z   test_dispatch_meta_outplace_any_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8357459Z   test_dispatch_meta_outplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8357613Z   test_dispatch_meta_outplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8357766Z   test_dispatch_meta_outplace_any_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8357916Z   test_dispatch_meta_outplace_any_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8358066Z   test_dispatch_meta_outplace_any_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8358219Z   test_dispatch_meta_outplace_any_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8358364Z   test_dispatch_meta_outplace_any_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8358510Z   test_dispatch_meta_outplace_any_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8358654Z   test_dispatch_meta_outplace_any_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8358798Z   test_dispatch_meta_outplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8358953Z   test_dispatch_meta_outplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359135Z   test_dispatch_meta_outplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359291Z   test_dispatch_meta_outplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359447Z   test_dispatch_meta_outplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359628Z   test_dispatch_meta_outplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359779Z   test_dispatch_meta_outplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8359933Z   test_dispatch_meta_outplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8360080Z   test_dispatch_meta_outplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8360232Z   test_dispatch_meta_outplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8360391Z   test_dispatch_meta_outplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8360545Z   test_dispatch_meta_outplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8360700Z   test_dispatch_meta_outplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8360854Z   test_dispatch_meta_outplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361005Z   test_dispatch_meta_outplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361156Z   test_dispatch_meta_outplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361303Z   test_dispatch_meta_outplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361455Z   test_dispatch_meta_outplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361607Z   test_dispatch_meta_outplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361767Z   test_dispatch_meta_outplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8361921Z   test_dispatch_meta_outplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362074Z   test_dispatch_meta_outplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362230Z   test_dispatch_meta_outplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362380Z   test_dispatch_meta_outplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362526Z   test_dispatch_meta_outplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362675Z   test_dispatch_meta_outplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362826Z   test_dispatch_meta_outplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8362975Z   test_dispatch_meta_outplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8363138Z   test_dispatch_meta_outplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8363296Z   test_dispatch_meta_outplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8363453Z   test_dispatch_meta_outplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8363608Z   test_dispatch_meta_outplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8363761Z   test_dispatch_meta_outplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8363909Z   test_dispatch_meta_outplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8364064Z   test_dispatch_meta_outplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8364214Z   test_dispatch_meta_outplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8364394Z   test_dispatch_meta_outplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8364558Z   test_dispatch_meta_outplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8364713Z   test_dispatch_meta_outplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.8364947Z   test_dispatch_meta_outplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8365109Z   test_dispatch_meta_outplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:55.8365261Z   test_dispatch_meta_outplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8365421Z   test_dispatch_meta_outplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8365577Z   test_dispatch_meta_outplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8365731Z   test_dispatch_meta_outplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8365887Z   test_dispatch_meta_outplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8366043Z   test_dispatch_meta_outplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8366197Z   test_dispatch_meta_outplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8366355Z   test_dispatch_meta_outplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8366517Z   test_dispatch_meta_outplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8366667Z   test_dispatch_meta_outplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8366838Z   test_dispatch_meta_outplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367001Z   test_dispatch_meta_outplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367170Z   test_dispatch_meta_outplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367331Z   test_dispatch_meta_outplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367489Z   test_dispatch_meta_outplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367645Z   test_dispatch_meta_outplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367802Z   test_dispatch_meta_outplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8367957Z   test_dispatch_meta_outplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8368104Z   test_dispatch_meta_outplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8368260Z   test_dispatch_meta_outplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8368412Z   test_dispatch_meta_outplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8368586Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8368759Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8368940Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8369113Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8369287Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8369451Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8369617Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8369805Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8369973Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8370135Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8370316Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8370483Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8370645Z   test_dispatch_meta_outplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8370799Z   test_dispatch_meta_outplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8370946Z   test_dispatch_meta_outplace_asin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8371104Z   test_dispatch_meta_outplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8371263Z   test_dispatch_meta_outplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8371422Z   test_dispatch_meta_outplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8371576Z   test_dispatch_meta_outplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8371732Z   test_dispatch_meta_outplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8371885Z   test_dispatch_meta_outplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372036Z   test_dispatch_meta_outplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372177Z   test_dispatch_meta_outplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372323Z   test_dispatch_meta_outplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372475Z   test_dispatch_meta_outplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372619Z   test_dispatch_meta_outplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372773Z   test_dispatch_meta_outplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8372929Z   test_dispatch_meta_outplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373088Z   test_dispatch_meta_outplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373245Z   test_dispatch_meta_outplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373402Z   test_dispatch_meta_outplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373551Z   test_dispatch_meta_outplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373704Z   test_dispatch_meta_outplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8373861Z   test_dispatch_meta_outplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374014Z   test_dispatch_meta_outplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374168Z   test_dispatch_meta_outplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374319Z   test_dispatch_meta_outplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374469Z   test_dispatch_meta_outplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374621Z   test_dispatch_meta_outplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8374769Z   test_dispatch_meta_outplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8374921Z   test_dispatch_meta_outplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8375073Z   test_dispatch_meta_outplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8375250Z   test_dispatch_meta_outplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8375404Z   test_dispatch_meta_outplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8375556Z   test_dispatch_meta_outplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8375727Z   test_dispatch_meta_outplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8375881Z   test_dispatch_meta_outplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8376027Z   test_dispatch_meta_outplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8376170Z   test_dispatch_meta_outplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8376325Z   test_dispatch_meta_outplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8376477Z   test_dispatch_meta_outplace_atan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8376637Z   test_dispatch_meta_outplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8376791Z   test_dispatch_meta_outplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8376947Z   test_dispatch_meta_outplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377104Z   test_dispatch_meta_outplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377259Z   test_dispatch_meta_outplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377406Z   test_dispatch_meta_outplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377558Z   test_dispatch_meta_outplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377706Z   test_dispatch_meta_outplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8377855Z   test_dispatch_meta_outplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8378006Z   test_dispatch_meta_outplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8378152Z   test_dispatch_meta_outplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8378309Z   test_dispatch_meta_outplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8378460Z   test_dispatch_meta_outplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8378612Z   test_dispatch_meta_outplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8378772Z   test_dispatch_meta_outplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379051Z   test_dispatch_meta_outplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379206Z   test_dispatch_meta_outplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379364Z   test_dispatch_meta_outplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379519Z   test_dispatch_meta_outplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379669Z   test_dispatch_meta_outplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379824Z   test_dispatch_meta_outplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8379976Z   test_dispatch_meta_outplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8380120Z   test_dispatch_meta_outplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8380273Z   test_dispatch_meta_outplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8380438Z   test_dispatch_meta_outplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8380594Z   test_dispatch_meta_outplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8380799Z   test_dispatch_meta_outplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8380966Z   test_dispatch_meta_outplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8381131Z   test_dispatch_meta_outplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8381324Z   test_dispatch_meta_outplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8381478Z   test_dispatch_meta_outplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8381637Z   test_dispatch_meta_outplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8381795Z   test_dispatch_meta_outplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8381954Z   test_dispatch_meta_outplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8382108Z   test_dispatch_meta_outplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8382264Z   test_dispatch_meta_outplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8382415Z   test_dispatch_meta_outplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8382581Z   test_dispatch_meta_outplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8382737Z   test_dispatch_meta_outplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8382895Z   test_dispatch_meta_outplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383058Z   test_dispatch_meta_outplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383223Z   test_dispatch_meta_outplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383384Z   test_dispatch_meta_outplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383542Z   test_dispatch_meta_outplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383701Z   test_dispatch_meta_outplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8383860Z   test_dispatch_meta_outplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8384014Z   test_dispatch_meta_outplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8384166Z   test_dispatch_meta_outplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8384315Z   test_dispatch_meta_outplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8384466Z   test_dispatch_meta_outplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8384625Z   test_dispatch_meta_outplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8384782Z   test_dispatch_meta_outplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8384950Z   test_dispatch_meta_outplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385111Z   test_dispatch_meta_outplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385275Z   test_dispatch_meta_outplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385431Z   test_dispatch_meta_outplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385581Z   test_dispatch_meta_outplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385736Z   test_dispatch_meta_outplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8385890Z   test_dispatch_meta_outplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8386066Z   test_dispatch_meta_outplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8386219Z   test_dispatch_meta_outplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8386375Z   test_dispatch_meta_outplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8386558Z   test_dispatch_meta_outplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8386712Z   test_dispatch_meta_outplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8386869Z   test_dispatch_meta_outplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8387024Z   test_dispatch_meta_outplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8387177Z   test_dispatch_meta_outplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8387330Z   test_dispatch_meta_outplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8387488Z   test_dispatch_meta_outplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8387646Z   test_dispatch_meta_outplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8387805Z   test_dispatch_meta_outplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8387965Z   test_dispatch_meta_outplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8388126Z   test_dispatch_meta_outplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8388279Z   test_dispatch_meta_outplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8388435Z   test_dispatch_meta_outplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8388599Z   test_dispatch_meta_outplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8388762Z   test_dispatch_meta_outplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8388923Z   test_dispatch_meta_outplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389080Z   test_dispatch_meta_outplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389238Z   test_dispatch_meta_outplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389390Z   test_dispatch_meta_outplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389544Z   test_dispatch_meta_outplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389692Z   test_dispatch_meta_outplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8389845Z   test_dispatch_meta_outplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8390000Z   test_dispatch_meta_outplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8390152Z   test_dispatch_meta_outplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8390369Z   test_dispatch_meta_outplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:55.8390543Z   test_dispatch_meta_outplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8390703Z   test_dispatch_meta_outplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8390857Z   test_dispatch_meta_outplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8391000Z   test_dispatch_meta_outplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8391156Z   test_dispatch_meta_outplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8391313Z   test_dispatch_meta_outplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8391512Z   test_dispatch_meta_outplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8391668Z   test_dispatch_meta_outplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8391820Z   test_dispatch_meta_outplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8391997Z   test_dispatch_meta_outplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392168Z   test_dispatch_meta_outplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392332Z   test_dispatch_meta_outplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392485Z   test_dispatch_meta_outplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392651Z   test_dispatch_meta_outplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392815Z   test_dispatch_meta_outplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8392970Z   test_dispatch_meta_outplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393122Z   test_dispatch_meta_outplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393281Z   test_dispatch_meta_outplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393432Z   test_dispatch_meta_outplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393584Z   test_dispatch_meta_outplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393729Z   test_dispatch_meta_outplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8393884Z   test_dispatch_meta_outplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8394038Z   test_dispatch_meta_outplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394191Z   test_dispatch_meta_outplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394344Z   test_dispatch_meta_outplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394496Z   test_dispatch_meta_outplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394649Z   test_dispatch_meta_outplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394822Z   test_dispatch_meta_outplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8394987Z   test_dispatch_meta_outplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8395144Z   test_dispatch_meta_outplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8395307Z   test_dispatch_meta_outplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8395472Z   test_dispatch_meta_outplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8395626Z   test_dispatch_meta_outplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8395779Z   test_dispatch_meta_outplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8395937Z   test_dispatch_meta_outplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8396088Z   test_dispatch_meta_outplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8396240Z   test_dispatch_meta_outplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8396393Z   test_dispatch_meta_outplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8396549Z   test_dispatch_meta_outplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8396731Z   test_dispatch_meta_outplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8396900Z   test_dispatch_meta_outplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8397064Z   test_dispatch_meta_outplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8397249Z   test_dispatch_meta_outplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8397409Z   test_dispatch_meta_outplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8397566Z   test_dispatch_meta_outplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8397721Z   test_dispatch_meta_outplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8397869Z   test_dispatch_meta_outplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8398027Z   test_dispatch_meta_outplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8398179Z   test_dispatch_meta_outplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8398334Z   test_dispatch_meta_outplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8398487Z   test_dispatch_meta_outplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8398640Z   test_dispatch_meta_outplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8398795Z   test_dispatch_meta_outplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8398952Z   test_dispatch_meta_outplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8399106Z   test_dispatch_meta_outplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8399252Z   test_dispatch_meta_outplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8399406Z   test_dispatch_meta_outplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8399558Z   test_dispatch_meta_outplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8399711Z   test_dispatch_meta_outplace_bool_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8399871Z   test_dispatch_meta_outplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400024Z   test_dispatch_meta_outplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400177Z   test_dispatch_meta_outplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400330Z   test_dispatch_meta_outplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400475Z   test_dispatch_meta_outplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400628Z   test_dispatch_meta_outplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400780Z   test_dispatch_meta_outplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8400927Z   test_dispatch_meta_outplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8401070Z   test_dispatch_meta_outplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8401229Z   test_dispatch_meta_outplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8401375Z   test_dispatch_meta_outplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8401543Z   test_dispatch_meta_outplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8401715Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8401875Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402074Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402250Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402419Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402608Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402772Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8402938Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8403099Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8403253Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8403419Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8403585Z   test_dispatch_meta_outplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8403749Z   test_dispatch_meta_outplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8403910Z   test_dispatch_meta_outplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404073Z   test_dispatch_meta_outplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404235Z   test_dispatch_meta_outplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404396Z   test_dispatch_meta_outplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404562Z   test_dispatch_meta_outplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404722Z   test_dispatch_meta_outplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8404882Z   test_dispatch_meta_outplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8405041Z   test_dispatch_meta_outplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8405200Z   test_dispatch_meta_outplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8405356Z   test_dispatch_meta_outplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8405511Z   test_dispatch_meta_outplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8405668Z   test_dispatch_meta_outplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8405827Z   test_dispatch_meta_outplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8405985Z   test_dispatch_meta_outplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406136Z   test_dispatch_meta_outplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406292Z   test_dispatch_meta_outplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406447Z   test_dispatch_meta_outplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406604Z   test_dispatch_meta_outplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406762Z   test_dispatch_meta_outplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8406918Z   test_dispatch_meta_outplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407070Z   test_dispatch_meta_outplace_byte_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407224Z   test_dispatch_meta_outplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407397Z   test_dispatch_meta_outplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407553Z   test_dispatch_meta_outplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407706Z   test_dispatch_meta_outplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8407880Z   test_dispatch_meta_outplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408029Z   test_dispatch_meta_outplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408175Z   test_dispatch_meta_outplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408319Z   test_dispatch_meta_outplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408467Z   test_dispatch_meta_outplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408605Z   test_dispatch_meta_outplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8408775Z   test_dispatch_meta_outplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8408938Z   test_dispatch_meta_outplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409112Z   test_dispatch_meta_outplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409285Z   test_dispatch_meta_outplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409450Z   test_dispatch_meta_outplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409616Z   test_dispatch_meta_outplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409780Z   test_dispatch_meta_outplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8409944Z   test_dispatch_meta_outplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8410103Z   test_dispatch_meta_outplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8410266Z   test_dispatch_meta_outplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8410425Z   test_dispatch_meta_outplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8410586Z   test_dispatch_meta_outplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8410739Z   test_dispatch_meta_outplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8410890Z   test_dispatch_meta_outplace_cat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411050Z   test_dispatch_meta_outplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411204Z   test_dispatch_meta_outplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411360Z   test_dispatch_meta_outplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411508Z   test_dispatch_meta_outplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411661Z   test_dispatch_meta_outplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411811Z   test_dispatch_meta_outplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8411963Z   test_dispatch_meta_outplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8412117Z   test_dispatch_meta_outplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8412261Z   test_dispatch_meta_outplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8412409Z   test_dispatch_meta_outplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8412554Z   test_dispatch_meta_outplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8412703Z   test_dispatch_meta_outplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.147s)
2022-11-23T01:45:55.8412881Z   test_dispatch_meta_outplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.149s)
2022-11-23T01:45:55.8413044Z   test_dispatch_meta_outplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8413196Z   test_dispatch_meta_outplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8413384Z   test_dispatch_meta_outplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8413545Z   test_dispatch_meta_outplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8413704Z   test_dispatch_meta_outplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8413861Z   test_dispatch_meta_outplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414010Z   test_dispatch_meta_outplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414166Z   test_dispatch_meta_outplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414319Z   test_dispatch_meta_outplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414472Z   test_dispatch_meta_outplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414629Z   test_dispatch_meta_outplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414780Z   test_dispatch_meta_outplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8414932Z   test_dispatch_meta_outplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415081Z   test_dispatch_meta_outplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8415233Z   test_dispatch_meta_outplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415380Z   test_dispatch_meta_outplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415530Z   test_dispatch_meta_outplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415680Z   test_dispatch_meta_outplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415828Z   test_dispatch_meta_outplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8415976Z   test_dispatch_meta_outplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416125Z   test_dispatch_meta_outplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416271Z   test_dispatch_meta_outplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416429Z   test_dispatch_meta_outplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416576Z   test_dispatch_meta_outplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416735Z   test_dispatch_meta_outplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8416894Z   test_dispatch_meta_outplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417052Z   test_dispatch_meta_outplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417206Z   test_dispatch_meta_outplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417364Z   test_dispatch_meta_outplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417516Z   test_dispatch_meta_outplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417671Z   test_dispatch_meta_outplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417823Z   test_dispatch_meta_outplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8417970Z   test_dispatch_meta_outplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8418150Z   test_dispatch_meta_outplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8418304Z   test_dispatch_meta_outplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8418457Z   test_dispatch_meta_outplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8418634Z   test_dispatch_meta_outplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8418895Z   test_dispatch_meta_outplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419056Z   test_dispatch_meta_outplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419211Z   test_dispatch_meta_outplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419358Z   test_dispatch_meta_outplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419512Z   test_dispatch_meta_outplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419667Z   test_dispatch_meta_outplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419819Z   test_dispatch_meta_outplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8419972Z   test_dispatch_meta_outplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420126Z   test_dispatch_meta_outplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420274Z   test_dispatch_meta_outplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420425Z   test_dispatch_meta_outplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420582Z   test_dispatch_meta_outplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420728Z   test_dispatch_meta_outplace_char_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8420883Z   test_dispatch_meta_outplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421041Z   test_dispatch_meta_outplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421194Z   test_dispatch_meta_outplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421345Z   test_dispatch_meta_outplace_char_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421501Z   test_dispatch_meta_outplace_char_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421652Z   test_dispatch_meta_outplace_char_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421802Z   test_dispatch_meta_outplace_char_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8421941Z   test_dispatch_meta_outplace_char_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8422085Z   test_dispatch_meta_outplace_char_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8422236Z   test_dispatch_meta_outplace_char_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8422384Z   test_dispatch_meta_outplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8422546Z   test_dispatch_meta_outplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.321s)
2022-11-23T01:45:55.8422714Z   test_dispatch_meta_outplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.182s)
2022-11-23T01:45:55.8422871Z   test_dispatch_meta_outplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.181s)
2022-11-23T01:45:55.8423028Z   test_dispatch_meta_outplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.182s)
2022-11-23T01:45:55.8423196Z   test_dispatch_meta_outplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.339s)
2022-11-23T01:45:55.8423368Z   test_dispatch_meta_outplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:55.8423535Z   test_dispatch_meta_outplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:55.8423740Z   test_dispatch_meta_outplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:55.8423913Z   test_dispatch_meta_outplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.204s)
2022-11-23T01:45:55.8424076Z   test_dispatch_meta_outplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.200s)
2022-11-23T01:45:55.8424268Z   test_dispatch_meta_outplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.204s)
2022-11-23T01:45:55.8424433Z   test_dispatch_meta_outplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.203s)
2022-11-23T01:45:55.8424588Z   test_dispatch_meta_outplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8424732Z   test_dispatch_meta_outplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8424889Z   test_dispatch_meta_outplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425048Z   test_dispatch_meta_outplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425204Z   test_dispatch_meta_outplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425360Z   test_dispatch_meta_outplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425515Z   test_dispatch_meta_outplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425669Z   test_dispatch_meta_outplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425820Z   test_dispatch_meta_outplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8425972Z   test_dispatch_meta_outplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8426116Z   test_dispatch_meta_outplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8426266Z   test_dispatch_meta_outplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8426420Z   test_dispatch_meta_outplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8426576Z   test_dispatch_meta_outplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8426729Z   test_dispatch_meta_outplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8426887Z   test_dispatch_meta_outplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427039Z   test_dispatch_meta_outplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427191Z   test_dispatch_meta_outplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427335Z   test_dispatch_meta_outplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427484Z   test_dispatch_meta_outplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427635Z   test_dispatch_meta_outplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427785Z   test_dispatch_meta_outplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8427945Z   test_dispatch_meta_outplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8428103Z   test_dispatch_meta_outplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8428262Z   test_dispatch_meta_outplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8428421Z   test_dispatch_meta_outplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8428570Z   test_dispatch_meta_outplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8428725Z   test_dispatch_meta_outplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8428880Z   test_dispatch_meta_outplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8429067Z   test_dispatch_meta_outplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8429224Z   test_dispatch_meta_outplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8429382Z   test_dispatch_meta_outplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8429567Z   test_dispatch_meta_outplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8429722Z   test_dispatch_meta_outplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8429880Z   test_dispatch_meta_outplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8430029Z   test_dispatch_meta_outplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8430184Z   test_dispatch_meta_outplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8430427Z   test_dispatch_meta_outplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8430605Z   test_dispatch_meta_outplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8430757Z   test_dispatch_meta_outplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8430915Z   test_dispatch_meta_outplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8431071Z   test_dispatch_meta_outplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8431222Z   test_dispatch_meta_outplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8431370Z   test_dispatch_meta_outplace_clone_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8431532Z   test_dispatch_meta_outplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8431683Z   test_dispatch_meta_outplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8431840Z   test_dispatch_meta_outplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8431993Z   test_dispatch_meta_outplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432146Z   test_dispatch_meta_outplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432303Z   test_dispatch_meta_outplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432454Z   test_dispatch_meta_outplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432605Z   test_dispatch_meta_outplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432749Z   test_dispatch_meta_outplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8432900Z   test_dispatch_meta_outplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8433051Z   test_dispatch_meta_outplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8433219Z   test_dispatch_meta_outplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8433378Z   test_dispatch_meta_outplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8433548Z   test_dispatch_meta_outplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8433716Z   test_dispatch_meta_outplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8433881Z   test_dispatch_meta_outplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434038Z   test_dispatch_meta_outplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434201Z   test_dispatch_meta_outplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434363Z   test_dispatch_meta_outplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434560Z   test_dispatch_meta_outplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434721Z   test_dispatch_meta_outplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8434875Z   test_dispatch_meta_outplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8435057Z   test_dispatch_meta_outplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8435210Z   test_dispatch_meta_outplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8435375Z   test_dispatch_meta_outplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.412s)
2022-11-23T01:45:55.8435530Z   test_dispatch_meta_outplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... ok (0.406s)
2022-11-23T01:45:55.8435700Z   test_dispatch_meta_outplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.408s)
2022-11-23T01:45:55.8435870Z   test_dispatch_meta_outplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.411s)
2022-11-23T01:45:55.8436031Z   test_dispatch_meta_outplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.407s)
2022-11-23T01:45:55.8436192Z   test_dispatch_meta_outplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.411s)
2022-11-23T01:45:55.8436358Z   test_dispatch_meta_outplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.408s)
2022-11-23T01:45:55.8436520Z   test_dispatch_meta_outplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.406s)
2022-11-23T01:45:55.8436680Z   test_dispatch_meta_outplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.412s)
2022-11-23T01:45:55.8436837Z   test_dispatch_meta_outplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.407s)
2022-11-23T01:45:55.8436989Z   test_dispatch_meta_outplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.408s)
2022-11-23T01:45:55.8437147Z   test_dispatch_meta_outplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.411s)
2022-11-23T01:45:55.8437304Z   test_dispatch_meta_outplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8437459Z   test_dispatch_meta_outplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8437620Z   test_dispatch_meta_outplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8437773Z   test_dispatch_meta_outplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8437928Z   test_dispatch_meta_outplace_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8438085Z   test_dispatch_meta_outplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8438234Z   test_dispatch_meta_outplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8438388Z   test_dispatch_meta_outplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8438545Z   test_dispatch_meta_outplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8438699Z   test_dispatch_meta_outplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8438850Z   test_dispatch_meta_outplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439003Z   test_dispatch_meta_outplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439149Z   test_dispatch_meta_outplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439292Z   test_dispatch_meta_outplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439440Z   test_dispatch_meta_outplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439579Z   test_dispatch_meta_outplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439744Z   test_dispatch_meta_outplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8439936Z   test_dispatch_meta_outplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440108Z   test_dispatch_meta_outplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440276Z   test_dispatch_meta_outplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440463Z   test_dispatch_meta_outplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440629Z   test_dispatch_meta_outplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440792Z   test_dispatch_meta_outplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8440951Z   test_dispatch_meta_outplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441114Z   test_dispatch_meta_outplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441279Z   test_dispatch_meta_outplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441440Z   test_dispatch_meta_outplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441599Z   test_dispatch_meta_outplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441759Z   test_dispatch_meta_outplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8441929Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8442091Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8442263Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8442427Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8442594Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8442755Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8442914Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8443086Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8443252Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8443413Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8443576Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8443743Z   test_dispatch_meta_outplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8443901Z   test_dispatch_meta_outplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444060Z   test_dispatch_meta_outplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444223Z   test_dispatch_meta_outplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444391Z   test_dispatch_meta_outplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444553Z   test_dispatch_meta_outplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444712Z   test_dispatch_meta_outplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8444872Z   test_dispatch_meta_outplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445028Z   test_dispatch_meta_outplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445206Z   test_dispatch_meta_outplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445368Z   test_dispatch_meta_outplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445523Z   test_dispatch_meta_outplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445703Z   test_dispatch_meta_outplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8445857Z   test_dispatch_meta_outplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8446016Z   test_dispatch_meta_outplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8446175Z   test_dispatch_meta_outplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8446334Z   test_dispatch_meta_outplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8446491Z   test_dispatch_meta_outplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8446641Z   test_dispatch_meta_outplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8446797Z   test_dispatch_meta_outplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8446951Z   test_dispatch_meta_outplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8447110Z   test_dispatch_meta_outplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8447265Z   test_dispatch_meta_outplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8447417Z   test_dispatch_meta_outplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8447575Z   test_dispatch_meta_outplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8447737Z   test_dispatch_meta_outplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.8447894Z   test_dispatch_meta_outplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.8448049Z   test_dispatch_meta_outplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8448204Z   test_dispatch_meta_outplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:55.8448358Z   test_dispatch_meta_outplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8448510Z   test_dispatch_meta_outplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8448664Z   test_dispatch_meta_outplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:55.8448816Z   test_dispatch_meta_outplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:55.8448969Z   test_dispatch_meta_outplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:55.8449119Z   test_dispatch_meta_outplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:55.8449269Z   test_dispatch_meta_outplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8449419Z   test_dispatch_meta_outplace_cos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8449571Z   test_dispatch_meta_outplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8449725Z   test_dispatch_meta_outplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8449879Z   test_dispatch_meta_outplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450032Z   test_dispatch_meta_outplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450183Z   test_dispatch_meta_outplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450335Z   test_dispatch_meta_outplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450479Z   test_dispatch_meta_outplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450693Z   test_dispatch_meta_outplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450838Z   test_dispatch_meta_outplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8450988Z   test_dispatch_meta_outplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8451166Z   test_dispatch_meta_outplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8451318Z   test_dispatch_meta_outplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8451471Z   test_dispatch_meta_outplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8451628Z   test_dispatch_meta_outplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8451783Z   test_dispatch_meta_outplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8451929Z   test_dispatch_meta_outplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452084Z   test_dispatch_meta_outplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452238Z   test_dispatch_meta_outplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452391Z   test_dispatch_meta_outplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452542Z   test_dispatch_meta_outplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452687Z   test_dispatch_meta_outplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452830Z   test_dispatch_meta_outplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8452975Z   test_dispatch_meta_outplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8453112Z   test_dispatch_meta_outplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8453279Z   test_dispatch_meta_outplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:55.8453442Z   test_dispatch_meta_outplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:55.8453612Z   test_dispatch_meta_outplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:55.8453782Z   test_dispatch_meta_outplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:55.8453946Z   test_dispatch_meta_outplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.136s)
2022-11-23T01:45:55.8454109Z   test_dispatch_meta_outplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:55.8454272Z   test_dispatch_meta_outplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:55.8454433Z   test_dispatch_meta_outplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:55.8454589Z   test_dispatch_meta_outplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.138s)
2022-11-23T01:45:55.8454750Z   test_dispatch_meta_outplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:55.8454908Z   test_dispatch_meta_outplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:55.8455065Z   test_dispatch_meta_outplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.130s)
2022-11-23T01:45:55.8455219Z   test_dispatch_meta_outplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.047s)
2022-11-23T01:45:55.8455376Z   test_dispatch_meta_outplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.044s)
2022-11-23T01:45:55.8455536Z   test_dispatch_meta_outplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.046s)
2022-11-23T01:45:55.8455689Z   test_dispatch_meta_outplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.045s)
2022-11-23T01:45:55.8455835Z   test_dispatch_meta_outplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.047s)
2022-11-23T01:45:55.8456011Z   test_dispatch_meta_outplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.041s)
2022-11-23T01:45:55.8456164Z   test_dispatch_meta_outplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.043s)
2022-11-23T01:45:55.8456309Z   test_dispatch_meta_outplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.043s)
2022-11-23T01:45:55.8456474Z   test_dispatch_meta_outplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.042s)
2022-11-23T01:45:55.8456622Z   test_dispatch_meta_outplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.044s)
2022-11-23T01:45:55.8456767Z   test_dispatch_meta_outplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.042s)
2022-11-23T01:45:55.8456925Z   test_dispatch_meta_outplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457077Z   test_dispatch_meta_outplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457231Z   test_dispatch_meta_outplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457389Z   test_dispatch_meta_outplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457542Z   test_dispatch_meta_outplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457694Z   test_dispatch_meta_outplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8457847Z   test_dispatch_meta_outplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8458000Z   test_dispatch_meta_outplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8458149Z   test_dispatch_meta_outplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8458299Z   test_dispatch_meta_outplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8458451Z   test_dispatch_meta_outplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8458602Z   test_dispatch_meta_outplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8458760Z   test_dispatch_meta_outplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459023Z   test_dispatch_meta_outplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459182Z   test_dispatch_meta_outplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459341Z   test_dispatch_meta_outplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459495Z   test_dispatch_meta_outplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459643Z   test_dispatch_meta_outplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459792Z   test_dispatch_meta_outplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8459943Z   test_dispatch_meta_outplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460104Z   test_dispatch_meta_outplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460253Z   test_dispatch_meta_outplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460405Z   test_dispatch_meta_outplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460561Z   test_dispatch_meta_outplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460714Z   test_dispatch_meta_outplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8460868Z   test_dispatch_meta_outplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8461019Z   test_dispatch_meta_outplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8461164Z   test_dispatch_meta_outplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8461314Z   test_dispatch_meta_outplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8461507Z   test_dispatch_meta_outplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8461667Z   test_dispatch_meta_outplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8461833Z   test_dispatch_meta_outplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462020Z   test_dispatch_meta_outplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462178Z   test_dispatch_meta_outplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462334Z   test_dispatch_meta_outplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462480Z   test_dispatch_meta_outplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462635Z   test_dispatch_meta_outplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462789Z   test_dispatch_meta_outplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8462947Z   test_dispatch_meta_outplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8463098Z   test_dispatch_meta_outplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8463248Z   test_dispatch_meta_outplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8463406Z   test_dispatch_meta_outplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8463567Z   test_dispatch_meta_outplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8463725Z   test_dispatch_meta_outplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8463873Z   test_dispatch_meta_outplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8464026Z   test_dispatch_meta_outplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8464181Z   test_dispatch_meta_outplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8464332Z   test_dispatch_meta_outplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8464483Z   test_dispatch_meta_outplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8464638Z   test_dispatch_meta_outplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8464789Z   test_dispatch_meta_outplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8464939Z   test_dispatch_meta_outplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8465111Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8465291Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8465471Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8465646Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8465820Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8465996Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8466167Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8466332Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8466496Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8466661Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8466860Z   test_dispatch_meta_outplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8467022Z   test_dispatch_meta_outplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8467175Z   test_dispatch_meta_outplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8467357Z   test_dispatch_meta_outplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8467516Z   test_dispatch_meta_outplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8467670Z   test_dispatch_meta_outplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8467826Z   test_dispatch_meta_outplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8467978Z   test_dispatch_meta_outplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8468126Z   test_dispatch_meta_outplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8468281Z   test_dispatch_meta_outplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8468433Z   test_dispatch_meta_outplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8468582Z   test_dispatch_meta_outplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8468737Z   test_dispatch_meta_outplace_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8468892Z   test_dispatch_meta_outplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469048Z   test_dispatch_meta_outplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469206Z   test_dispatch_meta_outplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469351Z   test_dispatch_meta_outplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469503Z   test_dispatch_meta_outplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469658Z   test_dispatch_meta_outplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469810Z   test_dispatch_meta_outplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8469958Z   test_dispatch_meta_outplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8470105Z   test_dispatch_meta_outplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8470310Z   test_dispatch_meta_outplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8470476Z   test_dispatch_meta_outplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8470651Z   test_dispatch_meta_outplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8470811Z   test_dispatch_meta_outplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8470980Z   test_dispatch_meta_outplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471147Z   test_dispatch_meta_outplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471311Z   test_dispatch_meta_outplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471476Z   test_dispatch_meta_outplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471637Z   test_dispatch_meta_outplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471792Z   test_dispatch_meta_outplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8471950Z   test_dispatch_meta_outplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8472101Z   test_dispatch_meta_outplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8472255Z   test_dispatch_meta_outplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8472438Z   test_dispatch_meta_outplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8472592Z   test_dispatch_meta_outplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8472751Z   test_dispatch_meta_outplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8472929Z   test_dispatch_meta_outplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473095Z   test_dispatch_meta_outplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473256Z   test_dispatch_meta_outplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473406Z   test_dispatch_meta_outplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473563Z   test_dispatch_meta_outplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473719Z   test_dispatch_meta_outplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8473877Z   test_dispatch_meta_outplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8474031Z   test_dispatch_meta_outplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8474187Z   test_dispatch_meta_outplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8474343Z   test_dispatch_meta_outplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8474497Z   test_dispatch_meta_outplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8474665Z   test_dispatch_meta_outplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8474820Z   test_dispatch_meta_outplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8474994Z   test_dispatch_meta_outplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8475165Z   test_dispatch_meta_outplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8475330Z   test_dispatch_meta_outplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8475499Z   test_dispatch_meta_outplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8611611Z   test_dispatch_meta_outplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8612012Z   test_dispatch_meta_outplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8612205Z   test_dispatch_meta_outplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8612374Z   test_dispatch_meta_outplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8612565Z   test_dispatch_meta_outplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8613060Z   test_dispatch_meta_outplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8613427Z   test_dispatch_meta_outplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8613780Z   test_dispatch_meta_outplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8614124Z   test_dispatch_meta_outplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8614478Z   test_dispatch_meta_outplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8614839Z   test_dispatch_meta_outplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8615194Z   test_dispatch_meta_outplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8615533Z   test_dispatch_meta_outplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8616152Z   test_dispatch_meta_outplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8616496Z   test_dispatch_meta_outplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8616829Z   test_dispatch_meta_outplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8617215Z   test_dispatch_meta_outplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8617551Z   test_dispatch_meta_outplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8617891Z   test_dispatch_meta_outplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8618227Z   test_dispatch_meta_outplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8618586Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8619147Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8619513Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8619863Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8620217Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8620568Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8620919Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8621276Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8621630Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8621986Z   test_dispatch_meta_outplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8622326Z   test_dispatch_meta_outplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.397s)
2022-11-23T01:45:55.8622668Z   test_dispatch_meta_outplace_diff_cuda_bool (__main__.TestMetaCUDA) ... ok (0.386s)
2022-11-23T01:45:55.8623012Z   test_dispatch_meta_outplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.376s)
2022-11-23T01:45:55.8623356Z   test_dispatch_meta_outplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.376s)
2022-11-23T01:45:55.8623685Z   test_dispatch_meta_outplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.400s)
2022-11-23T01:45:55.8624020Z   test_dispatch_meta_outplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.372s)
2022-11-23T01:45:55.8624357Z   test_dispatch_meta_outplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.374s)
2022-11-23T01:45:55.8624681Z   test_dispatch_meta_outplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:55.8625012Z   test_dispatch_meta_outplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.374s)
2022-11-23T01:45:55.8625343Z   test_dispatch_meta_outplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.377s)
2022-11-23T01:45:55.8625668Z   test_dispatch_meta_outplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.374s)
2022-11-23T01:45:55.8625995Z   test_dispatch_meta_outplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.372s)
2022-11-23T01:45:55.8626317Z   test_dispatch_meta_outplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.336s)
2022-11-23T01:45:55.8626660Z   test_dispatch_meta_outplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8627000Z   test_dispatch_meta_outplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8627323Z   test_dispatch_meta_outplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8627655Z   test_dispatch_meta_outplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8628040Z   test_dispatch_meta_outplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8628377Z   test_dispatch_meta_outplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8628707Z   test_dispatch_meta_outplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8629076Z   test_dispatch_meta_outplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8629407Z   test_dispatch_meta_outplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8629745Z   test_dispatch_meta_outplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8630073Z   test_dispatch_meta_outplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.8630530Z   test_dispatch_meta_outplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:55.8630907Z   test_dispatch_meta_outplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.8631234Z   test_dispatch_meta_outplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.8631590Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:55.8631962Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:55.8632325Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.8632676Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.8633038Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8633393Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8633737Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8634102Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8634452Z   test_dispatch_meta_outplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8634817Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8635184Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8635553Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8635929Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8636297Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8636663Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8637029Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8637393Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8637758Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8638105Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8638451Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8638810Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8639166Z   test_dispatch_meta_outplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8639553Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8639918Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8640274Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8640659Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8641005Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8641357Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8641705Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8642056Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8642404Z   test_dispatch_meta_outplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8642754Z   test_dispatch_meta_outplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8643093Z   test_dispatch_meta_outplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8643441Z   test_dispatch_meta_outplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8643817Z   test_dispatch_meta_outplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8644157Z   test_dispatch_meta_outplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8644492Z   test_dispatch_meta_outplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8644820Z   test_dispatch_meta_outplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8645162Z   test_dispatch_meta_outplace_double_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8645507Z   test_dispatch_meta_outplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8645858Z   test_dispatch_meta_outplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8646201Z   test_dispatch_meta_outplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8646545Z   test_dispatch_meta_outplace_double_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8646887Z   test_dispatch_meta_outplace_double_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8647222Z   test_dispatch_meta_outplace_double_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8647554Z   test_dispatch_meta_outplace_double_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8647891Z   test_dispatch_meta_outplace_double_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8648228Z   test_dispatch_meta_outplace_double_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8648562Z   test_dispatch_meta_outplace_double_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8648887Z   test_dispatch_meta_outplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8649228Z   test_dispatch_meta_outplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8649564Z   test_dispatch_meta_outplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8649896Z   test_dispatch_meta_outplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8650243Z   test_dispatch_meta_outplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8650643Z   test_dispatch_meta_outplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8651070Z   test_dispatch_meta_outplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8651554Z   test_dispatch_meta_outplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8651898Z   test_dispatch_meta_outplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8652237Z   test_dispatch_meta_outplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8652599Z   test_dispatch_meta_outplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8652926Z   test_dispatch_meta_outplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8653259Z   test_dispatch_meta_outplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8653589Z   test_dispatch_meta_outplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8653916Z   test_dispatch_meta_outplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8654250Z   test_dispatch_meta_outplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8654598Z   test_dispatch_meta_outplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8654945Z   test_dispatch_meta_outplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8655281Z   test_dispatch_meta_outplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8655623Z   test_dispatch_meta_outplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8655957Z   test_dispatch_meta_outplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8656284Z   test_dispatch_meta_outplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8656618Z   test_dispatch_meta_outplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8656948Z   test_dispatch_meta_outplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8657284Z   test_dispatch_meta_outplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8657607Z   test_dispatch_meta_outplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8657935Z   test_dispatch_meta_outplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8658271Z   test_dispatch_meta_outplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8658607Z   test_dispatch_meta_outplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8659098Z   test_dispatch_meta_outplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8659436Z   test_dispatch_meta_outplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8659770Z   test_dispatch_meta_outplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8660094Z   test_dispatch_meta_outplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8660424Z   test_dispatch_meta_outplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8660757Z   test_dispatch_meta_outplace_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8661092Z   test_dispatch_meta_outplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8661428Z   test_dispatch_meta_outplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8661766Z   test_dispatch_meta_outplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8662099Z   test_dispatch_meta_outplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8662428Z   test_dispatch_meta_outplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8662763Z   test_dispatch_meta_outplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8663143Z   test_dispatch_meta_outplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8663482Z   test_dispatch_meta_outplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8663810Z   test_dispatch_meta_outplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8664170Z   test_dispatch_meta_outplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8664498Z   test_dispatch_meta_outplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8664830Z   test_dispatch_meta_outplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8665178Z   test_dispatch_meta_outplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8665533Z   test_dispatch_meta_outplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8665892Z   test_dispatch_meta_outplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8666241Z   test_dispatch_meta_outplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8666586Z   test_dispatch_meta_outplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8666928Z   test_dispatch_meta_outplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8667271Z   test_dispatch_meta_outplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8667605Z   test_dispatch_meta_outplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8667941Z   test_dispatch_meta_outplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8668270Z   test_dispatch_meta_outplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8668593Z   test_dispatch_meta_outplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8668928Z   test_dispatch_meta_outplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8669260Z   test_dispatch_meta_outplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8669591Z   test_dispatch_meta_outplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8669919Z   test_dispatch_meta_outplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8670340Z   test_dispatch_meta_outplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8670676Z   test_dispatch_meta_outplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8671001Z   test_dispatch_meta_outplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8671329Z   test_dispatch_meta_outplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8671650Z   test_dispatch_meta_outplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8671974Z   test_dispatch_meta_outplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8672288Z   test_dispatch_meta_outplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8672613Z   test_dispatch_meta_outplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8672941Z   test_dispatch_meta_outplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8673259Z   test_dispatch_meta_outplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8673579Z   test_dispatch_meta_outplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8673915Z   test_dispatch_meta_outplace_equal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8674255Z   test_dispatch_meta_outplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8674588Z   test_dispatch_meta_outplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8674960Z   test_dispatch_meta_outplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8675299Z   test_dispatch_meta_outplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8675633Z   test_dispatch_meta_outplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8675982Z   test_dispatch_meta_outplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8676313Z   test_dispatch_meta_outplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8676644Z   test_dispatch_meta_outplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8676964Z   test_dispatch_meta_outplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8677290Z   test_dispatch_meta_outplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:55.8677620Z   test_dispatch_meta_outplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8677955Z   test_dispatch_meta_outplace_erf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8678274Z   test_dispatch_meta_outplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8678599Z   test_dispatch_meta_outplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8678929Z   test_dispatch_meta_outplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8679251Z   test_dispatch_meta_outplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8679580Z   test_dispatch_meta_outplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8679902Z   test_dispatch_meta_outplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8680225Z   test_dispatch_meta_outplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8680538Z   test_dispatch_meta_outplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8680876Z   test_dispatch_meta_outplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8681209Z   test_dispatch_meta_outplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8681566Z   test_dispatch_meta_outplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8681963Z   test_dispatch_meta_outplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8682298Z   test_dispatch_meta_outplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8682632Z   test_dispatch_meta_outplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8682950Z   test_dispatch_meta_outplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8683274Z   test_dispatch_meta_outplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8683592Z   test_dispatch_meta_outplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8683910Z   test_dispatch_meta_outplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8684241Z   test_dispatch_meta_outplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... ok (0.227s)
2022-11-23T01:45:55.8684577Z   test_dispatch_meta_outplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8684914Z   test_dispatch_meta_outplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8685247Z   test_dispatch_meta_outplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8685578Z   test_dispatch_meta_outplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8685912Z   test_dispatch_meta_outplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8686241Z   test_dispatch_meta_outplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8686601Z   test_dispatch_meta_outplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8686935Z   test_dispatch_meta_outplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8687268Z   test_dispatch_meta_outplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8687628Z   test_dispatch_meta_outplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.213s)
2022-11-23T01:45:55.8687957Z   test_dispatch_meta_outplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8688288Z   test_dispatch_meta_outplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8688616Z   test_dispatch_meta_outplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8688938Z   test_dispatch_meta_outplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8689262Z   test_dispatch_meta_outplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8689583Z   test_dispatch_meta_outplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8689894Z   test_dispatch_meta_outplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8690215Z   test_dispatch_meta_outplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8690548Z   test_dispatch_meta_outplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8690878Z   test_dispatch_meta_outplace_exp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8691203Z   test_dispatch_meta_outplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8691546Z   test_dispatch_meta_outplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8691886Z   test_dispatch_meta_outplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8692214Z   test_dispatch_meta_outplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8692552Z   test_dispatch_meta_outplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8692883Z   test_dispatch_meta_outplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8693213Z   test_dispatch_meta_outplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8693530Z   test_dispatch_meta_outplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8693851Z   test_dispatch_meta_outplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8694180Z   test_dispatch_meta_outplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8694494Z   test_dispatch_meta_outplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8694830Z   test_dispatch_meta_outplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8695177Z   test_dispatch_meta_outplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8695528Z   test_dispatch_meta_outplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8695874Z   test_dispatch_meta_outplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8696219Z   test_dispatch_meta_outplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8696570Z   test_dispatch_meta_outplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8696903Z   test_dispatch_meta_outplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8697229Z   test_dispatch_meta_outplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8697569Z   test_dispatch_meta_outplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8697898Z   test_dispatch_meta_outplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8698252Z   test_dispatch_meta_outplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8698593Z   test_dispatch_meta_outplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8699050Z   test_dispatch_meta_outplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8699431Z   test_dispatch_meta_outplace_expand_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8699763Z   test_dispatch_meta_outplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8700108Z   test_dispatch_meta_outplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8700446Z   test_dispatch_meta_outplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8700775Z   test_dispatch_meta_outplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8701109Z   test_dispatch_meta_outplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8701445Z   test_dispatch_meta_outplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8701777Z   test_dispatch_meta_outplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8702105Z   test_dispatch_meta_outplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8702443Z   test_dispatch_meta_outplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8702775Z   test_dispatch_meta_outplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8703107Z   test_dispatch_meta_outplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8703457Z   test_dispatch_meta_outplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8703814Z   test_dispatch_meta_outplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8704149Z   test_dispatch_meta_outplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8704481Z   test_dispatch_meta_outplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8704812Z   test_dispatch_meta_outplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8705143Z   test_dispatch_meta_outplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8705478Z   test_dispatch_meta_outplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8705800Z   test_dispatch_meta_outplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8706129Z   test_dispatch_meta_outplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8706458Z   test_dispatch_meta_outplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8706782Z   test_dispatch_meta_outplace_eye_cuda_bool (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8707118Z   test_dispatch_meta_outplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8707457Z   test_dispatch_meta_outplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8707793Z   test_dispatch_meta_outplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8708117Z   test_dispatch_meta_outplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8708446Z   test_dispatch_meta_outplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:55.8708772Z   test_dispatch_meta_outplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8709087Z   test_dispatch_meta_outplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8709408Z   test_dispatch_meta_outplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8709737Z   test_dispatch_meta_outplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8710203Z   test_dispatch_meta_outplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8710647Z   test_dispatch_meta_outplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8711009Z   test_dispatch_meta_outplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:55.8711388Z   test_dispatch_meta_outplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.502s)
2022-11-23T01:45:55.8711727Z   test_dispatch_meta_outplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.8712071Z   test_dispatch_meta_outplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8712411Z   test_dispatch_meta_outplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8712742Z   test_dispatch_meta_outplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8713064Z   test_dispatch_meta_outplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8713402Z   test_dispatch_meta_outplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8713733Z   test_dispatch_meta_outplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8714067Z   test_dispatch_meta_outplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8714391Z   test_dispatch_meta_outplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8715450Z   test_dispatch_meta_outplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/89168 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:45:55.8716074Z   test_dispatch_meta_outplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.8716428Z   test_dispatch_meta_outplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8716766Z   test_dispatch_meta_outplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8717107Z   test_dispatch_meta_outplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.965s)
2022-11-23T01:45:55.8717451Z   test_dispatch_meta_outplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8718309Z   test_dispatch_meta_outplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88692 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:45:55.8718912Z   test_dispatch_meta_outplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8719242Z   test_dispatch_meta_outplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8719577Z   test_dispatch_meta_outplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8719916Z   test_dispatch_meta_outplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8720244Z   test_dispatch_meta_outplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8720579Z   test_dispatch_meta_outplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8720923Z   test_dispatch_meta_outplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8721281Z   test_dispatch_meta_outplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8721622Z   test_dispatch_meta_outplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:55.8722000Z   test_dispatch_meta_outplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:55.8722343Z   test_dispatch_meta_outplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8722675Z   test_dispatch_meta_outplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8723026Z   test_dispatch_meta_outplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8723367Z   test_dispatch_meta_outplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:55.8723701Z   test_dispatch_meta_outplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8724034Z   test_dispatch_meta_outplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8724369Z   test_dispatch_meta_outplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8724717Z   test_dispatch_meta_outplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8725070Z   test_dispatch_meta_outplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8725421Z   test_dispatch_meta_outplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8725781Z   test_dispatch_meta_outplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8726142Z   test_dispatch_meta_outplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8726492Z   test_dispatch_meta_outplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8726844Z   test_dispatch_meta_outplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8727189Z   test_dispatch_meta_outplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8727539Z   test_dispatch_meta_outplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8727879Z   test_dispatch_meta_outplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8728221Z   test_dispatch_meta_outplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8728565Z   test_dispatch_meta_outplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8728907Z   test_dispatch_meta_outplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8729236Z   test_dispatch_meta_outplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8729585Z   test_dispatch_meta_outplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8729934Z   test_dispatch_meta_outplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8730276Z   test_dispatch_meta_outplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8730621Z   test_dispatch_meta_outplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8730958Z   test_dispatch_meta_outplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8731288Z   test_dispatch_meta_outplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8731617Z   test_dispatch_meta_outplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8731960Z   test_dispatch_meta_outplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8732290Z   test_dispatch_meta_outplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8732610Z   test_dispatch_meta_outplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8732950Z   test_dispatch_meta_outplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8733283Z   test_dispatch_meta_outplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8733652Z   test_dispatch_meta_outplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8733994Z   test_dispatch_meta_outplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.895s)
2022-11-23T01:45:55.8734341Z   test_dispatch_meta_outplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8734714Z   test_dispatch_meta_outplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8735055Z   test_dispatch_meta_outplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8735379Z   test_dispatch_meta_outplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8735721Z   test_dispatch_meta_outplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8736055Z   test_dispatch_meta_outplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8736384Z   test_dispatch_meta_outplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8736718Z   test_dispatch_meta_outplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8737053Z   test_dispatch_meta_outplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8737385Z   test_dispatch_meta_outplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8737725Z   test_dispatch_meta_outplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8738080Z   test_dispatch_meta_outplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8738436Z   test_dispatch_meta_outplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8738776Z   test_dispatch_meta_outplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8739263Z   test_dispatch_meta_outplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8739611Z   test_dispatch_meta_outplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8739950Z   test_dispatch_meta_outplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8740280Z   test_dispatch_meta_outplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8740618Z   test_dispatch_meta_outplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8740951Z   test_dispatch_meta_outplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8741293Z   test_dispatch_meta_outplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8741624Z   test_dispatch_meta_outplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.8741967Z   test_dispatch_meta_outplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8742325Z   test_dispatch_meta_outplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8742664Z   test_dispatch_meta_outplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8743006Z   test_dispatch_meta_outplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:55.8743356Z   test_dispatch_meta_outplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8743694Z   test_dispatch_meta_outplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8744025Z   test_dispatch_meta_outplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8744363Z   test_dispatch_meta_outplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8744693Z   test_dispatch_meta_outplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8745013Z   test_dispatch_meta_outplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8745395Z   test_dispatch_meta_outplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8745732Z   test_dispatch_meta_outplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8746079Z   test_dispatch_meta_outplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8746451Z   test_dispatch_meta_outplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8746801Z   test_dispatch_meta_outplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.8747149Z   test_dispatch_meta_outplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8747491Z   test_dispatch_meta_outplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8748346Z   test_dispatch_meta_outplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/89156 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:45:55.8748947Z   test_dispatch_meta_outplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8749292Z   test_dispatch_meta_outplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8749628Z   test_dispatch_meta_outplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8749961Z   test_dispatch_meta_outplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8750356Z   test_dispatch_meta_outplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8750701Z   test_dispatch_meta_outplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8751056Z   test_dispatch_meta_outplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:55.8751401Z   test_dispatch_meta_outplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:55.8751748Z   test_dispatch_meta_outplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8752103Z   test_dispatch_meta_outplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8752435Z   test_dispatch_meta_outplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8752771Z   test_dispatch_meta_outplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:55.8753110Z   test_dispatch_meta_outplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:55.8753449Z   test_dispatch_meta_outplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:55.8753768Z   test_dispatch_meta_outplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8754107Z   test_dispatch_meta_outplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8754440Z   test_dispatch_meta_outplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8754778Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8755135Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8755496Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8755858Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8756208Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8756568Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8756959Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8757316Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8757659Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8758027Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8758372Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8758712Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8759055Z   test_dispatch_meta_outplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8759396Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.8759742Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8760076Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8760418Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8760761Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:55.8761099Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:55.8761418Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8761756Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8762087Z   test_dispatch_meta_outplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8762413Z   test_dispatch_meta_outplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8762755Z   test_dispatch_meta_outplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8763095Z   test_dispatch_meta_outplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8763427Z   test_dispatch_meta_outplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8763754Z   test_dispatch_meta_outplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8764089Z   test_dispatch_meta_outplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8764418Z   test_dispatch_meta_outplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8764734Z   test_dispatch_meta_outplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8765068Z   test_dispatch_meta_outplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8765403Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8765739Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.8766073Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8766415Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8766759Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8767101Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8767424Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8767765Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8768093Z   test_dispatch_meta_outplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8768445Z   test_dispatch_meta_outplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8768801Z   test_dispatch_meta_outplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8769157Z   test_dispatch_meta_outplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8769543Z   test_dispatch_meta_outplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8769884Z   test_dispatch_meta_outplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8770225Z   test_dispatch_meta_outplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8770561Z   test_dispatch_meta_outplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8770889Z   test_dispatch_meta_outplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8771229Z   test_dispatch_meta_outplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8771562Z   test_dispatch_meta_outplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8771894Z   test_dispatch_meta_outplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8772223Z   test_dispatch_meta_outplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8772557Z   test_dispatch_meta_outplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8772899Z   test_dispatch_meta_outplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8773248Z   test_dispatch_meta_outplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8773592Z   test_dispatch_meta_outplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8773937Z   test_dispatch_meta_outplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8774280Z   test_dispatch_meta_outplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8774604Z   test_dispatch_meta_outplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8774946Z   test_dispatch_meta_outplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8775283Z   test_dispatch_meta_outplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8775613Z   test_dispatch_meta_outplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8775932Z   test_dispatch_meta_outplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8776270Z   test_dispatch_meta_outplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8776602Z   test_dispatch_meta_outplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8776940Z   test_dispatch_meta_outplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8777296Z   test_dispatch_meta_outplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8777650Z   test_dispatch_meta_outplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8778000Z   test_dispatch_meta_outplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8778335Z   test_dispatch_meta_outplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8778678Z   test_dispatch_meta_outplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8779140Z   test_dispatch_meta_outplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8779477Z   test_dispatch_meta_outplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8779842Z   test_dispatch_meta_outplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8780188Z   test_dispatch_meta_outplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8780521Z   test_dispatch_meta_outplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8780878Z   test_dispatch_meta_outplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8781221Z   test_dispatch_meta_outplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8781562Z   test_dispatch_meta_outplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.8781895Z   test_dispatch_meta_outplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8782216Z   test_dispatch_meta_outplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8782551Z   test_dispatch_meta_outplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8782879Z   test_dispatch_meta_outplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8783200Z   test_dispatch_meta_outplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8783529Z   test_dispatch_meta_outplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8783860Z   test_dispatch_meta_outplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8784199Z   test_dispatch_meta_outplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8784534Z   test_dispatch_meta_outplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.8784867Z   test_dispatch_meta_outplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.8785201Z   test_dispatch_meta_outplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8785538Z   test_dispatch_meta_outplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8785869Z   test_dispatch_meta_outplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8786198Z   test_dispatch_meta_outplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8786533Z   test_dispatch_meta_outplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8786854Z   test_dispatch_meta_outplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:55.8787188Z   test_dispatch_meta_outplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.8787533Z   test_dispatch_meta_outplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8787691Z   test_dispatch_meta_outplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8787849Z   test_dispatch_meta_outplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8788000Z   test_dispatch_meta_outplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8788154Z   test_dispatch_meta_outplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8788308Z   test_dispatch_meta_outplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8788467Z   test_dispatch_meta_outplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8788626Z   test_dispatch_meta_outplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8788779Z   test_dispatch_meta_outplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8788938Z   test_dispatch_meta_outplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8789094Z   test_dispatch_meta_outplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8789285Z   test_dispatch_meta_outplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8789434Z   test_dispatch_meta_outplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8789589Z   test_dispatch_meta_outplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8789769Z   test_dispatch_meta_outplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8789922Z   test_dispatch_meta_outplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8790071Z   test_dispatch_meta_outplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8790216Z   test_dispatch_meta_outplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8790445Z   test_dispatch_meta_outplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8790594Z   test_dispatch_meta_outplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8790751Z   test_dispatch_meta_outplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8790905Z   test_dispatch_meta_outplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791069Z   test_dispatch_meta_outplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791234Z   test_dispatch_meta_outplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791395Z   test_dispatch_meta_outplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791551Z   test_dispatch_meta_outplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791708Z   test_dispatch_meta_outplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8791862Z   test_dispatch_meta_outplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792017Z   test_dispatch_meta_outplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792170Z   test_dispatch_meta_outplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792326Z   test_dispatch_meta_outplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792479Z   test_dispatch_meta_outplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792635Z   test_dispatch_meta_outplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8792789Z   test_dispatch_meta_outplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8792945Z   test_dispatch_meta_outplace_flip_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793101Z   test_dispatch_meta_outplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793262Z   test_dispatch_meta_outplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793414Z   test_dispatch_meta_outplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793571Z   test_dispatch_meta_outplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793723Z   test_dispatch_meta_outplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8793879Z   test_dispatch_meta_outplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8794030Z   test_dispatch_meta_outplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8794178Z   test_dispatch_meta_outplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8794331Z   test_dispatch_meta_outplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8794477Z   test_dispatch_meta_outplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8794635Z   test_dispatch_meta_outplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8794819Z   test_dispatch_meta_outplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8794983Z   test_dispatch_meta_outplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795149Z   test_dispatch_meta_outplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795330Z   test_dispatch_meta_outplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795489Z   test_dispatch_meta_outplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795644Z   test_dispatch_meta_outplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795801Z   test_dispatch_meta_outplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8795954Z   test_dispatch_meta_outplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796100Z   test_dispatch_meta_outplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796259Z   test_dispatch_meta_outplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796410Z   test_dispatch_meta_outplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796569Z   test_dispatch_meta_outplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796724Z   test_dispatch_meta_outplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8796885Z   test_dispatch_meta_outplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797046Z   test_dispatch_meta_outplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797202Z   test_dispatch_meta_outplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797358Z   test_dispatch_meta_outplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797507Z   test_dispatch_meta_outplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797660Z   test_dispatch_meta_outplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797811Z   test_dispatch_meta_outplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8797966Z   test_dispatch_meta_outplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798120Z   test_dispatch_meta_outplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798276Z   test_dispatch_meta_outplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798430Z   test_dispatch_meta_outplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798586Z   test_dispatch_meta_outplace_float_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798739Z   test_dispatch_meta_outplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8798901Z   test_dispatch_meta_outplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799058Z   test_dispatch_meta_outplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799215Z   test_dispatch_meta_outplace_float_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799373Z   test_dispatch_meta_outplace_float_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799529Z   test_dispatch_meta_outplace_float_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799680Z   test_dispatch_meta_outplace_float_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799834Z   test_dispatch_meta_outplace_float_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8799986Z   test_dispatch_meta_outplace_float_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8800131Z   test_dispatch_meta_outplace_float_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8800309Z   test_dispatch_meta_outplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8800478Z   test_dispatch_meta_outplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8800638Z   test_dispatch_meta_outplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8800832Z   test_dispatch_meta_outplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8801001Z   test_dispatch_meta_outplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8801166Z   test_dispatch_meta_outplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8801331Z   test_dispatch_meta_outplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8801494Z   test_dispatch_meta_outplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8801648Z   test_dispatch_meta_outplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8801808Z   test_dispatch_meta_outplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8801967Z   test_dispatch_meta_outplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8802128Z   test_dispatch_meta_outplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8802281Z   test_dispatch_meta_outplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8802437Z   test_dispatch_meta_outplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8802596Z   test_dispatch_meta_outplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8802752Z   test_dispatch_meta_outplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8802899Z   test_dispatch_meta_outplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803057Z   test_dispatch_meta_outplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803212Z   test_dispatch_meta_outplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803366Z   test_dispatch_meta_outplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803519Z   test_dispatch_meta_outplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803669Z   test_dispatch_meta_outplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8803836Z   test_dispatch_meta_outplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8803999Z   test_dispatch_meta_outplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8804165Z   test_dispatch_meta_outplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.8804323Z   test_dispatch_meta_outplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8804485Z   test_dispatch_meta_outplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8804646Z   test_dispatch_meta_outplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8804805Z   test_dispatch_meta_outplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8804964Z   test_dispatch_meta_outplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8805121Z   test_dispatch_meta_outplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8805277Z   test_dispatch_meta_outplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8805432Z   test_dispatch_meta_outplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8805579Z   test_dispatch_meta_outplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8805758Z   test_dispatch_meta_outplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8805916Z   test_dispatch_meta_outplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8806070Z   test_dispatch_meta_outplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8806242Z   test_dispatch_meta_outplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8806386Z   test_dispatch_meta_outplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8806538Z   test_dispatch_meta_outplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8806684Z   test_dispatch_meta_outplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8806837Z   test_dispatch_meta_outplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8806979Z   test_dispatch_meta_outplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8807133Z   test_dispatch_meta_outplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8807285Z   test_dispatch_meta_outplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8807434Z   test_dispatch_meta_outplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8807582Z   test_dispatch_meta_outplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8807727Z   test_dispatch_meta_outplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8807872Z   test_dispatch_meta_outplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8808021Z   test_dispatch_meta_outplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8808159Z   test_dispatch_meta_outplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8808314Z   test_dispatch_meta_outplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8808463Z   test_dispatch_meta_outplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8808613Z   test_dispatch_meta_outplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8808763Z   test_dispatch_meta_outplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8808909Z   test_dispatch_meta_outplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8809054Z   test_dispatch_meta_outplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8809198Z   test_dispatch_meta_outplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8809345Z   test_dispatch_meta_outplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8809482Z   test_dispatch_meta_outplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8809638Z   test_dispatch_meta_outplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8809788Z   test_dispatch_meta_outplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8809937Z   test_dispatch_meta_outplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8810089Z   test_dispatch_meta_outplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8810241Z   test_dispatch_meta_outplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8810394Z   test_dispatch_meta_outplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8810550Z   test_dispatch_meta_outplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8810696Z   test_dispatch_meta_outplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8810846Z   test_dispatch_meta_outplace_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811029Z   test_dispatch_meta_outplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811188Z   test_dispatch_meta_outplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811344Z   test_dispatch_meta_outplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811520Z   test_dispatch_meta_outplace_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811670Z   test_dispatch_meta_outplace_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811819Z   test_dispatch_meta_outplace_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8811970Z   test_dispatch_meta_outplace_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8812111Z   test_dispatch_meta_outplace_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8812255Z   test_dispatch_meta_outplace_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8812407Z   test_dispatch_meta_outplace_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8812560Z   test_dispatch_meta_outplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8812719Z   test_dispatch_meta_outplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8812877Z   test_dispatch_meta_outplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8813041Z   test_dispatch_meta_outplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813204Z   test_dispatch_meta_outplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813356Z   test_dispatch_meta_outplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813512Z   test_dispatch_meta_outplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813670Z   test_dispatch_meta_outplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813831Z   test_dispatch_meta_outplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8813986Z   test_dispatch_meta_outplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8814140Z   test_dispatch_meta_outplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8814291Z   test_dispatch_meta_outplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8814447Z   test_dispatch_meta_outplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8814606Z   test_dispatch_meta_outplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8814755Z   test_dispatch_meta_outplace_gather_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8814915Z   test_dispatch_meta_outplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815077Z   test_dispatch_meta_outplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815231Z   test_dispatch_meta_outplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815386Z   test_dispatch_meta_outplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815540Z   test_dispatch_meta_outplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815697Z   test_dispatch_meta_outplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815851Z   test_dispatch_meta_outplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8815997Z   test_dispatch_meta_outplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8816150Z   test_dispatch_meta_outplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8816325Z   test_dispatch_meta_outplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8816478Z   test_dispatch_meta_outplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8816623Z   test_dispatch_meta_outplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8816768Z   test_dispatch_meta_outplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8816953Z   test_dispatch_meta_outplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8817098Z   test_dispatch_meta_outplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8817250Z   test_dispatch_meta_outplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8817395Z   test_dispatch_meta_outplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8817546Z   test_dispatch_meta_outplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8817695Z   test_dispatch_meta_outplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8817840Z   test_dispatch_meta_outplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8817990Z   test_dispatch_meta_outplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8818136Z   test_dispatch_meta_outplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8818283Z   test_dispatch_meta_outplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8818431Z   test_dispatch_meta_outplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8818568Z   test_dispatch_meta_outplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8818728Z   test_dispatch_meta_outplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.223s)
2022-11-23T01:45:55.8819052Z   test_dispatch_meta_outplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.218s)
2022-11-23T01:45:55.8819216Z   test_dispatch_meta_outplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.210s)
2022-11-23T01:45:55.8819375Z   test_dispatch_meta_outplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.211s)
2022-11-23T01:45:55.8819537Z   test_dispatch_meta_outplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.172s)
2022-11-23T01:45:55.8819706Z   test_dispatch_meta_outplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.302s)
2022-11-23T01:45:55.8819870Z   test_dispatch_meta_outplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.304s)
2022-11-23T01:45:55.8820032Z   test_dispatch_meta_outplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.172s)
2022-11-23T01:45:55.8820183Z   test_dispatch_meta_outplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:55.8820335Z   test_dispatch_meta_outplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.157s)
2022-11-23T01:45:55.8820491Z   test_dispatch_meta_outplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.160s)
2022-11-23T01:45:55.8820649Z   test_dispatch_meta_outplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:55.8820802Z   test_dispatch_meta_outplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:55.8820957Z   test_dispatch_meta_outplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:55.8821128Z   test_dispatch_meta_outplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.472s)
2022-11-23T01:45:55.8821293Z   test_dispatch_meta_outplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.477s)
2022-11-23T01:45:55.8821446Z   test_dispatch_meta_outplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.475s)
2022-11-23T01:45:55.8821598Z   test_dispatch_meta_outplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8821749Z   test_dispatch_meta_outplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8821941Z   test_dispatch_meta_outplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8822091Z   test_dispatch_meta_outplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822236Z   test_dispatch_meta_outplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822415Z   test_dispatch_meta_outplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822561Z   test_dispatch_meta_outplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822705Z   test_dispatch_meta_outplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822845Z   test_dispatch_meta_outplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8822989Z   test_dispatch_meta_outplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8823147Z   test_dispatch_meta_outplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8823305Z   test_dispatch_meta_outplace_half_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8823464Z   test_dispatch_meta_outplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8823620Z   test_dispatch_meta_outplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8823776Z   test_dispatch_meta_outplace_half_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8823929Z   test_dispatch_meta_outplace_half_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824075Z   test_dispatch_meta_outplace_half_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824230Z   test_dispatch_meta_outplace_half_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824378Z   test_dispatch_meta_outplace_half_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824523Z   test_dispatch_meta_outplace_half_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824675Z   test_dispatch_meta_outplace_half_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824820Z   test_dispatch_meta_outplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8824982Z   test_dispatch_meta_outplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8825140Z   test_dispatch_meta_outplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8825301Z   test_dispatch_meta_outplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8825455Z   test_dispatch_meta_outplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8825612Z   test_dispatch_meta_outplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8825770Z   test_dispatch_meta_outplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8825928Z   test_dispatch_meta_outplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8826081Z   test_dispatch_meta_outplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8826233Z   test_dispatch_meta_outplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8826387Z   test_dispatch_meta_outplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8826543Z   test_dispatch_meta_outplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.103s)
2022-11-23T01:45:55.8826691Z   test_dispatch_meta_outplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.103s)
2022-11-23T01:45:55.8826847Z   test_dispatch_meta_outplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.102s)
2022-11-23T01:45:55.8827003Z   test_dispatch_meta_outplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.101s)
2022-11-23T01:45:55.8827155Z   test_dispatch_meta_outplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.103s)
2022-11-23T01:45:55.8827332Z   test_dispatch_meta_outplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.104s)
2022-11-23T01:45:55.8827490Z   test_dispatch_meta_outplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8827641Z   test_dispatch_meta_outplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8827825Z   test_dispatch_meta_outplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8827987Z   test_dispatch_meta_outplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828138Z   test_dispatch_meta_outplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828294Z   test_dispatch_meta_outplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828449Z   test_dispatch_meta_outplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828602Z   test_dispatch_meta_outplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828756Z   test_dispatch_meta_outplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8828909Z   test_dispatch_meta_outplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8829063Z   test_dispatch_meta_outplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8829220Z   test_dispatch_meta_outplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8829365Z   test_dispatch_meta_outplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8829523Z   test_dispatch_meta_outplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8829672Z   test_dispatch_meta_outplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8829832Z   test_dispatch_meta_outplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8829993Z   test_dispatch_meta_outplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8830150Z   test_dispatch_meta_outplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8830387Z   test_dispatch_meta_outplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8830562Z   test_dispatch_meta_outplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8830728Z   test_dispatch_meta_outplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8830873Z   test_dispatch_meta_outplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8831020Z   test_dispatch_meta_outplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8831171Z   test_dispatch_meta_outplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8831322Z   test_dispatch_meta_outplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8831475Z   test_dispatch_meta_outplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8831630Z   test_dispatch_meta_outplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8831788Z   test_dispatch_meta_outplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8831944Z   test_dispatch_meta_outplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8832092Z   test_dispatch_meta_outplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8832242Z   test_dispatch_meta_outplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8832396Z   test_dispatch_meta_outplace_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.270s)
2022-11-23T01:45:55.8832547Z   test_dispatch_meta_outplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8832695Z   test_dispatch_meta_outplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8832867Z   test_dispatch_meta_outplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833017Z   test_dispatch_meta_outplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833161Z   test_dispatch_meta_outplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833354Z   test_dispatch_meta_outplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833493Z   test_dispatch_meta_outplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833635Z   test_dispatch_meta_outplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8833789Z   test_dispatch_meta_outplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8833942Z   test_dispatch_meta_outplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8834099Z   test_dispatch_meta_outplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8834259Z   test_dispatch_meta_outplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8834412Z   test_dispatch_meta_outplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8834567Z   test_dispatch_meta_outplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8834713Z   test_dispatch_meta_outplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8834878Z   test_dispatch_meta_outplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8835030Z   test_dispatch_meta_outplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8835194Z   test_dispatch_meta_outplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8835359Z   test_dispatch_meta_outplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8835525Z   test_dispatch_meta_outplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8835684Z   test_dispatch_meta_outplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8835843Z   test_dispatch_meta_outplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836000Z   test_dispatch_meta_outplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836147Z   test_dispatch_meta_outplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836301Z   test_dispatch_meta_outplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836451Z   test_dispatch_meta_outplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836604Z   test_dispatch_meta_outplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836761Z   test_dispatch_meta_outplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8836926Z   test_dispatch_meta_outplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837079Z   test_dispatch_meta_outplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837247Z   test_dispatch_meta_outplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837411Z   test_dispatch_meta_outplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837566Z   test_dispatch_meta_outplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837726Z   test_dispatch_meta_outplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8837882Z   test_dispatch_meta_outplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838040Z   test_dispatch_meta_outplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838222Z   test_dispatch_meta_outplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838377Z   test_dispatch_meta_outplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838530Z   test_dispatch_meta_outplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838703Z   test_dispatch_meta_outplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8838857Z   test_dispatch_meta_outplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839010Z   test_dispatch_meta_outplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839176Z   test_dispatch_meta_outplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839341Z   test_dispatch_meta_outplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839505Z   test_dispatch_meta_outplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839665Z   test_dispatch_meta_outplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839820Z   test_dispatch_meta_outplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8839979Z   test_dispatch_meta_outplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8840135Z   test_dispatch_meta_outplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8840280Z   test_dispatch_meta_outplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8840434Z   test_dispatch_meta_outplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8840585Z   test_dispatch_meta_outplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8840741Z   test_dispatch_meta_outplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8840901Z   test_dispatch_meta_outplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841066Z   test_dispatch_meta_outplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841229Z   test_dispatch_meta_outplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841393Z   test_dispatch_meta_outplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841552Z   test_dispatch_meta_outplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841703Z   test_dispatch_meta_outplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8841856Z   test_dispatch_meta_outplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842015Z   test_dispatch_meta_outplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842172Z   test_dispatch_meta_outplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842323Z   test_dispatch_meta_outplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842476Z   test_dispatch_meta_outplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842632Z   test_dispatch_meta_outplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8842796Z   test_dispatch_meta_outplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8842952Z   test_dispatch_meta_outplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8843114Z   test_dispatch_meta_outplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.8843277Z   test_dispatch_meta_outplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8843437Z   test_dispatch_meta_outplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8843621Z   test_dispatch_meta_outplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8843777Z   test_dispatch_meta_outplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8843936Z   test_dispatch_meta_outplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8844112Z   test_dispatch_meta_outplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8844277Z   test_dispatch_meta_outplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8844429Z   test_dispatch_meta_outplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8844599Z   test_dispatch_meta_outplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8844766Z   test_dispatch_meta_outplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8844934Z   test_dispatch_meta_outplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845096Z   test_dispatch_meta_outplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845255Z   test_dispatch_meta_outplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845419Z   test_dispatch_meta_outplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845576Z   test_dispatch_meta_outplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845735Z   test_dispatch_meta_outplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8845881Z   test_dispatch_meta_outplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8846038Z   test_dispatch_meta_outplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8846193Z   test_dispatch_meta_outplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8846348Z   test_dispatch_meta_outplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8846511Z   test_dispatch_meta_outplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8846670Z   test_dispatch_meta_outplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8846825Z   test_dispatch_meta_outplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8846979Z   test_dispatch_meta_outplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8847127Z   test_dispatch_meta_outplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8847286Z   test_dispatch_meta_outplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8847437Z   test_dispatch_meta_outplace_int_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8847597Z   test_dispatch_meta_outplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8847748Z   test_dispatch_meta_outplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8847902Z   test_dispatch_meta_outplace_int_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848055Z   test_dispatch_meta_outplace_int_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848208Z   test_dispatch_meta_outplace_int_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848359Z   test_dispatch_meta_outplace_int_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848500Z   test_dispatch_meta_outplace_int_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848643Z   test_dispatch_meta_outplace_int_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848791Z   test_dispatch_meta_outplace_int_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8848968Z   test_dispatch_meta_outplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8849127Z   test_dispatch_meta_outplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:55.8849281Z   test_dispatch_meta_outplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8849467Z   test_dispatch_meta_outplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:55.8849632Z   test_dispatch_meta_outplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:55.8849782Z   test_dispatch_meta_outplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:55.8849939Z   test_dispatch_meta_outplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:55.8850092Z   test_dispatch_meta_outplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8850248Z   test_dispatch_meta_outplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8850401Z   test_dispatch_meta_outplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8850554Z   test_dispatch_meta_outplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8850709Z   test_dispatch_meta_outplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.8850860Z   test_dispatch_meta_outplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.8851018Z   test_dispatch_meta_outplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8851166Z   test_dispatch_meta_outplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8851334Z   test_dispatch_meta_outplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8851496Z   test_dispatch_meta_outplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8851658Z   test_dispatch_meta_outplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8851815Z   test_dispatch_meta_outplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8851971Z   test_dispatch_meta_outplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8852126Z   test_dispatch_meta_outplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8852280Z   test_dispatch_meta_outplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8852436Z   test_dispatch_meta_outplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8852582Z   test_dispatch_meta_outplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8852735Z   test_dispatch_meta_outplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8852888Z   test_dispatch_meta_outplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8853043Z   test_dispatch_meta_outplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853196Z   test_dispatch_meta_outplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853345Z   test_dispatch_meta_outplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853498Z   test_dispatch_meta_outplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853644Z   test_dispatch_meta_outplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853782Z   test_dispatch_meta_outplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8853932Z   test_dispatch_meta_outplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8854078Z   test_dispatch_meta_outplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8854255Z   test_dispatch_meta_outplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8854409Z   test_dispatch_meta_outplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8854567Z   test_dispatch_meta_outplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8854756Z   test_dispatch_meta_outplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8854913Z   test_dispatch_meta_outplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8855068Z   test_dispatch_meta_outplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855214Z   test_dispatch_meta_outplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855368Z   test_dispatch_meta_outplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855522Z   test_dispatch_meta_outplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855676Z   test_dispatch_meta_outplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855827Z   test_dispatch_meta_outplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8855978Z   test_dispatch_meta_outplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856133Z   test_dispatch_meta_outplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856290Z   test_dispatch_meta_outplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856436Z   test_dispatch_meta_outplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856594Z   test_dispatch_meta_outplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856752Z   test_dispatch_meta_outplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8856906Z   test_dispatch_meta_outplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857058Z   test_dispatch_meta_outplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857210Z   test_dispatch_meta_outplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857363Z   test_dispatch_meta_outplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857517Z   test_dispatch_meta_outplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857670Z   test_dispatch_meta_outplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857813Z   test_dispatch_meta_outplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8857965Z   test_dispatch_meta_outplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8858125Z   test_dispatch_meta_outplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8858279Z   test_dispatch_meta_outplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8858437Z   test_dispatch_meta_outplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8858592Z   test_dispatch_meta_outplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8858747Z   test_dispatch_meta_outplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8859097Z   test_dispatch_meta_outplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8859247Z   test_dispatch_meta_outplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8859401Z   test_dispatch_meta_outplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8859557Z   test_dispatch_meta_outplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8859710Z   test_dispatch_meta_outplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8859917Z   test_dispatch_meta_outplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8860076Z   test_dispatch_meta_outplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8860232Z   test_dispatch_meta_outplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8860415Z   test_dispatch_meta_outplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8860569Z   test_dispatch_meta_outplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8860713Z   test_dispatch_meta_outplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8860868Z   test_dispatch_meta_outplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8861019Z   test_dispatch_meta_outplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8861174Z   test_dispatch_meta_outplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8861327Z   test_dispatch_meta_outplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8861483Z   test_dispatch_meta_outplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8861638Z   test_dispatch_meta_outplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8861796Z   test_dispatch_meta_outplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8861944Z   test_dispatch_meta_outplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8862100Z   test_dispatch_meta_outplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8862253Z   test_dispatch_meta_outplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8862406Z   test_dispatch_meta_outplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8862558Z   test_dispatch_meta_outplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8862713Z   test_dispatch_meta_outplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8862867Z   test_dispatch_meta_outplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8863025Z   test_dispatch_meta_outplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8863176Z   test_dispatch_meta_outplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8863319Z   test_dispatch_meta_outplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8863478Z   test_dispatch_meta_outplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.305s)
2022-11-23T01:45:55.8863640Z   test_dispatch_meta_outplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.297s)
2022-11-23T01:45:55.8863851Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.395s)
2022-11-23T01:45:55.8864056Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... ok (1.399s)
2022-11-23T01:45:55.8864241Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.434s)
2022-11-23T01:45:55.8864425Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.432s)
2022-11-23T01:45:55.8864605Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.391s)
2022-11-23T01:45:55.8864781Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.384s)
2022-11-23T01:45:55.8864947Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.382s)
2022-11-23T01:45:55.8865122Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.387s)
2022-11-23T01:45:55.8865322Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.391s)
2022-11-23T01:45:55.8865494Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.383s)
2022-11-23T01:45:55.8865669Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.386s)
2022-11-23T01:45:55.8865862Z   test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.386s)
2022-11-23T01:45:55.8866049Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.703s)
2022-11-23T01:45:55.8866231Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... ok (1.745s)
2022-11-23T01:45:55.8866423Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.234s)
2022-11-23T01:45:55.8866606Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.080s)
2022-11-23T01:45:55.8866793Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.706s)
2022-11-23T01:45:55.8866977Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.709s)
2022-11-23T01:45:55.8867157Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.701s)
2022-11-23T01:45:55.8867338Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.707s)
2022-11-23T01:45:55.8867513Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.705s)
2022-11-23T01:45:55.8867685Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.708s)
2022-11-23T01:45:55.8867869Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.715s)
2022-11-23T01:45:55.8868054Z   test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.702s)
2022-11-23T01:45:55.8868224Z   test_dispatch_meta_outplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.223s)
2022-11-23T01:45:55.8868386Z   test_dispatch_meta_outplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (1.230s)
2022-11-23T01:45:55.8868562Z   test_dispatch_meta_outplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.509s)
2022-11-23T01:45:55.8868733Z   test_dispatch_meta_outplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.378s)
2022-11-23T01:45:55.8868902Z   test_dispatch_meta_outplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.220s)
2022-11-23T01:45:55.8869065Z   test_dispatch_meta_outplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.216s)
2022-11-23T01:45:55.8869229Z   test_dispatch_meta_outplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.215s)
2022-11-23T01:45:55.8869393Z   test_dispatch_meta_outplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.212s)
2022-11-23T01:45:55.8869561Z   test_dispatch_meta_outplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.220s)
2022-11-23T01:45:55.8869729Z   test_dispatch_meta_outplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.216s)
2022-11-23T01:45:55.8869888Z   test_dispatch_meta_outplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.214s)
2022-11-23T01:45:55.8870052Z   test_dispatch_meta_outplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.214s)
2022-11-23T01:45:55.8870237Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.215s)
2022-11-23T01:45:55.8870519Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... ok (1.220s)
2022-11-23T01:45:55.8870733Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.253s)
2022-11-23T01:45:55.8870919Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.247s)
2022-11-23T01:45:55.8871123Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.221s)
2022-11-23T01:45:55.8871302Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.217s)
2022-11-23T01:45:55.8871484Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.211s)
2022-11-23T01:45:55.8871655Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.210s)
2022-11-23T01:45:55.8871836Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.211s)
2022-11-23T01:45:55.8872019Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.214s)
2022-11-23T01:45:55.8872199Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.208s)
2022-11-23T01:45:55.8872377Z   test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.207s)
2022-11-23T01:45:55.8872549Z   test_dispatch_meta_outplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.142s)
2022-11-23T01:45:55.8872715Z   test_dispatch_meta_outplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.143s)
2022-11-23T01:45:55.8872891Z   test_dispatch_meta_outplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.264s)
2022-11-23T01:45:55.8873063Z   test_dispatch_meta_outplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.217s)
2022-11-23T01:45:55.8873228Z   test_dispatch_meta_outplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.142s)
2022-11-23T01:45:55.8873391Z   test_dispatch_meta_outplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.138s)
2022-11-23T01:45:55.8873550Z   test_dispatch_meta_outplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:55.8873719Z   test_dispatch_meta_outplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:55.8873885Z   test_dispatch_meta_outplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:55.8874048Z   test_dispatch_meta_outplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.141s)
2022-11-23T01:45:55.8874213Z   test_dispatch_meta_outplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:55.8874376Z   test_dispatch_meta_outplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:55.8874533Z   test_dispatch_meta_outplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8874682Z   test_dispatch_meta_outplace_kron_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8874842Z   test_dispatch_meta_outplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875000Z   test_dispatch_meta_outplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875155Z   test_dispatch_meta_outplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875309Z   test_dispatch_meta_outplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875462Z   test_dispatch_meta_outplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875618Z   test_dispatch_meta_outplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875767Z   test_dispatch_meta_outplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8875930Z   test_dispatch_meta_outplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8876082Z   test_dispatch_meta_outplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8876228Z   test_dispatch_meta_outplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8876388Z   test_dispatch_meta_outplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8876568Z   test_dispatch_meta_outplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8876726Z   test_dispatch_meta_outplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8876881Z   test_dispatch_meta_outplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8877035Z   test_dispatch_meta_outplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8877190Z   test_dispatch_meta_outplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8877339Z   test_dispatch_meta_outplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8877489Z   test_dispatch_meta_outplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8877640Z   test_dispatch_meta_outplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8877793Z   test_dispatch_meta_outplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8877938Z   test_dispatch_meta_outplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8878088Z   test_dispatch_meta_outplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8878233Z   test_dispatch_meta_outplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8878389Z   test_dispatch_meta_outplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8878532Z   test_dispatch_meta_outplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8878693Z   test_dispatch_meta_outplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8878853Z   test_dispatch_meta_outplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8879007Z   test_dispatch_meta_outplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8879162Z   test_dispatch_meta_outplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8879317Z   test_dispatch_meta_outplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8879470Z   test_dispatch_meta_outplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8879625Z   test_dispatch_meta_outplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8879780Z   test_dispatch_meta_outplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8879925Z   test_dispatch_meta_outplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8880080Z   test_dispatch_meta_outplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8880230Z   test_dispatch_meta_outplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8880381Z   test_dispatch_meta_outplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8880535Z   test_dispatch_meta_outplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8880683Z   test_dispatch_meta_outplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8880827Z   test_dispatch_meta_outplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8880977Z   test_dispatch_meta_outplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8881114Z   test_dispatch_meta_outplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8881257Z   test_dispatch_meta_outplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8881428Z   test_dispatch_meta_outplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8881571Z   test_dispatch_meta_outplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8881728Z   test_dispatch_meta_outplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.8881910Z   test_dispatch_meta_outplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8882068Z   test_dispatch_meta_outplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8882221Z   test_dispatch_meta_outplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.8882370Z   test_dispatch_meta_outplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.8882523Z   test_dispatch_meta_outplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.8882680Z   test_dispatch_meta_outplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.277s)
2022-11-23T01:45:55.8882834Z   test_dispatch_meta_outplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8882990Z   test_dispatch_meta_outplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883149Z   test_dispatch_meta_outplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883308Z   test_dispatch_meta_outplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883460Z   test_dispatch_meta_outplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883614Z   test_dispatch_meta_outplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883760Z   test_dispatch_meta_outplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8883910Z   test_dispatch_meta_outplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8884085Z   test_dispatch_meta_outplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8884257Z   test_dispatch_meta_outplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8884426Z   test_dispatch_meta_outplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8884592Z   test_dispatch_meta_outplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.8884769Z   test_dispatch_meta_outplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8884945Z   test_dispatch_meta_outplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8885119Z   test_dispatch_meta_outplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8885276Z   test_dispatch_meta_outplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8885444Z   test_dispatch_meta_outplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8885612Z   test_dispatch_meta_outplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8885774Z   test_dispatch_meta_outplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8885941Z   test_dispatch_meta_outplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8886110Z   test_dispatch_meta_outplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8886275Z   test_dispatch_meta_outplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8886440Z   test_dispatch_meta_outplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8886602Z   test_dispatch_meta_outplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8886782Z   test_dispatch_meta_outplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8886945Z   test_dispatch_meta_outplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8887103Z   test_dispatch_meta_outplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8887283Z   test_dispatch_meta_outplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8887444Z   test_dispatch_meta_outplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8887599Z   test_dispatch_meta_outplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8887765Z   test_dispatch_meta_outplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.075s)
2022-11-23T01:45:55.8887928Z   test_dispatch_meta_outplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.429s)
2022-11-23T01:45:55.8888078Z   test_dispatch_meta_outplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.635s)
2022-11-23T01:45:55.8888237Z   test_dispatch_meta_outplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.642s)
2022-11-23T01:45:55.8888415Z   test_dispatch_meta_outplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.941s)
2022-11-23T01:45:55.8888595Z   test_dispatch_meta_outplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.948s)
2022-11-23T01:45:55.8888767Z   test_dispatch_meta_outplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:55.8888942Z   test_dispatch_meta_outplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:55.8889108Z   test_dispatch_meta_outplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.8889274Z   test_dispatch_meta_outplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8889433Z   test_dispatch_meta_outplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.8889586Z   test_dispatch_meta_outplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8889759Z   test_dispatch_meta_outplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8889928Z   test_dispatch_meta_outplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8890094Z   test_dispatch_meta_outplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8890256Z   test_dispatch_meta_outplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8890428Z   test_dispatch_meta_outplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:55.8890597Z   test_dispatch_meta_outplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:55.8890762Z   test_dispatch_meta_outplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.171s)
2022-11-23T01:45:55.8890929Z   test_dispatch_meta_outplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.178s)
2022-11-23T01:45:55.8891103Z   test_dispatch_meta_outplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8891271Z   test_dispatch_meta_outplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8891438Z   test_dispatch_meta_outplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8891602Z   test_dispatch_meta_outplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8891791Z   test_dispatch_meta_outplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8891978Z   test_dispatch_meta_outplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8892189Z   test_dispatch_meta_outplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8892371Z   test_dispatch_meta_outplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8892538Z   test_dispatch_meta_outplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.8892733Z   test_dispatch_meta_outplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8892886Z   test_dispatch_meta_outplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8893047Z   test_dispatch_meta_outplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8893215Z   test_dispatch_meta_outplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8893382Z   test_dispatch_meta_outplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8893549Z   test_dispatch_meta_outplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8893711Z   test_dispatch_meta_outplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8893885Z   test_dispatch_meta_outplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8894061Z   test_dispatch_meta_outplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8894231Z   test_dispatch_meta_outplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8894391Z   test_dispatch_meta_outplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8894572Z   test_dispatch_meta_outplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8894748Z   test_dispatch_meta_outplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8894922Z   test_dispatch_meta_outplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8895095Z   test_dispatch_meta_outplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8895270Z   test_dispatch_meta_outplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8895443Z   test_dispatch_meta_outplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8895611Z   test_dispatch_meta_outplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8895773Z   test_dispatch_meta_outplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8895933Z   test_dispatch_meta_outplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8896097Z   test_dispatch_meta_outplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:55.8896267Z   test_dispatch_meta_outplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8896430Z   test_dispatch_meta_outplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:55.8896615Z   test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:55.8896800Z   test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:55.8896979Z   test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8897158Z   test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.8897324Z   test_dispatch_meta_outplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8897504Z   test_dispatch_meta_outplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8897666Z   test_dispatch_meta_outplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8897826Z   test_dispatch_meta_outplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8898021Z   test_dispatch_meta_outplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8898195Z   test_dispatch_meta_outplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8898366Z   test_dispatch_meta_outplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.8898532Z   test_dispatch_meta_outplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.8898709Z   test_dispatch_meta_outplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8899152Z   test_dispatch_meta_outplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8899360Z   test_dispatch_meta_outplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8899536Z   test_dispatch_meta_outplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8899710Z   test_dispatch_meta_outplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:55.8899880Z   test_dispatch_meta_outplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.8900046Z   test_dispatch_meta_outplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:55.8900207Z   test_dispatch_meta_outplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:55.8900382Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:55.8900558Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.172s)
2022-11-23T01:45:55.8900733Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.138s)
2022-11-23T01:45:55.8900895Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:55.8901062Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.148s)
2022-11-23T01:45:55.8901224Z   test_dispatch_meta_outplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.152s)
2022-11-23T01:45:55.8901401Z   test_dispatch_meta_outplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:55.8901579Z   test_dispatch_meta_outplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8901751Z   test_dispatch_meta_outplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8901925Z   test_dispatch_meta_outplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8902100Z   test_dispatch_meta_outplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.414s)
2022-11-23T01:45:55.8902273Z   test_dispatch_meta_outplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.236s)
2022-11-23T01:45:55.8902437Z   test_dispatch_meta_outplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.237s)
2022-11-23T01:45:55.8902604Z   test_dispatch_meta_outplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.265s)
2022-11-23T01:45:55.8902789Z   test_dispatch_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.8902972Z   test_dispatch_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.8903212Z   test_dispatch_meta_outplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8903396Z   test_dispatch_meta_outplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.8903566Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8903769Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8903941Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8904102Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8904268Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8904432Z   test_dispatch_meta_outplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.8904598Z   test_dispatch_meta_outplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:55.8904764Z   test_dispatch_meta_outplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.213s)
2022-11-23T01:45:55.8904932Z   test_dispatch_meta_outplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.178s)
2022-11-23T01:45:55.8905100Z   test_dispatch_meta_outplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:55.8905265Z   test_dispatch_meta_outplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.184s)
2022-11-23T01:45:55.8905427Z   test_dispatch_meta_outplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.190s)
2022-11-23T01:45:55.8905609Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:55.8905802Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.130s)
2022-11-23T01:45:55.8905995Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:55.8906179Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:55.8906358Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:55.8906537Z   test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:55.8906703Z   test_dispatch_meta_outplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.105s)
2022-11-23T01:45:55.8906868Z   test_dispatch_meta_outplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8907027Z   test_dispatch_meta_outplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8907180Z   test_dispatch_meta_outplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8907361Z   test_dispatch_meta_outplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.8907542Z   test_dispatch_meta_outplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8907717Z   test_dispatch_meta_outplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.8907901Z   test_dispatch_meta_outplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8908145Z   test_dispatch_meta_outplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.8908384Z   test_dispatch_meta_outplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.8908651Z   test_dispatch_meta_outplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.8908884Z   test_dispatch_meta_outplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.8909076Z   test_dispatch_meta_outplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.8909229Z   test_dispatch_meta_outplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.8909391Z   test_dispatch_meta_outplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.8909550Z   test_dispatch_meta_outplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.8909725Z   test_dispatch_meta_outplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.936s)
2022-11-23T01:45:55.8909896Z   test_dispatch_meta_outplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.925s)
2022-11-23T01:45:55.8910064Z   test_dispatch_meta_outplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8910230Z   test_dispatch_meta_outplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8910508Z   test_dispatch_meta_outplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:55.8910676Z   test_dispatch_meta_outplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:55.8910833Z   test_dispatch_meta_outplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.8910998Z   test_dispatch_meta_outplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:55.8911167Z   test_dispatch_meta_outplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8911340Z   test_dispatch_meta_outplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8911507Z   test_dispatch_meta_outplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8911670Z   test_dispatch_meta_outplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8911853Z   test_dispatch_meta_outplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.632s)
2022-11-23T01:45:55.8912036Z   test_dispatch_meta_outplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.633s)
2022-11-23T01:45:55.8912214Z   test_dispatch_meta_outplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.630s)
2022-11-23T01:45:55.8912383Z   test_dispatch_meta_outplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.636s)
2022-11-23T01:45:55.8912548Z   test_dispatch_meta_outplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.302s)
2022-11-23T01:45:55.8912712Z   test_dispatch_meta_outplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:55.8912876Z   test_dispatch_meta_outplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:55.8913040Z   test_dispatch_meta_outplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.141s)
2022-11-23T01:45:55.8913213Z   test_dispatch_meta_outplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:55.8913384Z   test_dispatch_meta_outplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.8913551Z   test_dispatch_meta_outplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8913708Z   test_dispatch_meta_outplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.8913884Z   test_dispatch_meta_outplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8914084Z   test_dispatch_meta_outplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.8914253Z   test_dispatch_meta_outplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8914415Z   test_dispatch_meta_outplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8914614Z   test_dispatch_meta_outplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8914792Z   test_dispatch_meta_outplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8914968Z   test_dispatch_meta_outplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8915133Z   test_dispatch_meta_outplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8915296Z   test_dispatch_meta_outplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8915468Z   test_dispatch_meta_outplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8915632Z   test_dispatch_meta_outplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8915798Z   test_dispatch_meta_outplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8915962Z   test_dispatch_meta_outplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8916127Z   test_dispatch_meta_outplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8916287Z   test_dispatch_meta_outplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.8916450Z   test_dispatch_meta_outplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8916612Z   test_dispatch_meta_outplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8916773Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.8916945Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:55.8917115Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:55.8917286Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8917452Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8917618Z   test_dispatch_meta_outplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.8917792Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.210s)
2022-11-23T01:45:55.8917969Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.199s)
2022-11-23T01:45:55.8918148Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.198s)
2022-11-23T01:45:55.8918311Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.210s)
2022-11-23T01:45:55.8918482Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.191s)
2022-11-23T01:45:55.8918647Z   test_dispatch_meta_outplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.191s)
2022-11-23T01:45:55.8918810Z   test_dispatch_meta_outplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8918975Z   test_dispatch_meta_outplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8919140Z   test_dispatch_meta_outplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8919300Z   test_dispatch_meta_outplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8919484Z   test_dispatch_meta_outplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.8919643Z   test_dispatch_meta_outplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.8919793Z   test_dispatch_meta_outplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.8919975Z   test_dispatch_meta_outplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.8920134Z   test_dispatch_meta_outplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.8920294Z   test_dispatch_meta_outplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.8920445Z   test_dispatch_meta_outplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8920598Z   test_dispatch_meta_outplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8920750Z   test_dispatch_meta_outplace_log10_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8920909Z   test_dispatch_meta_outplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921060Z   test_dispatch_meta_outplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921216Z   test_dispatch_meta_outplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921378Z   test_dispatch_meta_outplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921533Z   test_dispatch_meta_outplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921687Z   test_dispatch_meta_outplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921839Z   test_dispatch_meta_outplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8921994Z   test_dispatch_meta_outplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8922148Z   test_dispatch_meta_outplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8922295Z   test_dispatch_meta_outplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8922453Z   test_dispatch_meta_outplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8922604Z   test_dispatch_meta_outplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8922762Z   test_dispatch_meta_outplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8922915Z   test_dispatch_meta_outplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923069Z   test_dispatch_meta_outplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923219Z   test_dispatch_meta_outplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923370Z   test_dispatch_meta_outplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923527Z   test_dispatch_meta_outplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923670Z   test_dispatch_meta_outplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923821Z   test_dispatch_meta_outplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8923982Z   test_dispatch_meta_outplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924134Z   test_dispatch_meta_outplace_log2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924292Z   test_dispatch_meta_outplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924450Z   test_dispatch_meta_outplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924604Z   test_dispatch_meta_outplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924759Z   test_dispatch_meta_outplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8924930Z   test_dispatch_meta_outplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925082Z   test_dispatch_meta_outplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925230Z   test_dispatch_meta_outplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925399Z   test_dispatch_meta_outplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925554Z   test_dispatch_meta_outplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925702Z   test_dispatch_meta_outplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8925857Z   test_dispatch_meta_outplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926010Z   test_dispatch_meta_outplace_log_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926159Z   test_dispatch_meta_outplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926318Z   test_dispatch_meta_outplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926472Z   test_dispatch_meta_outplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926629Z   test_dispatch_meta_outplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926782Z   test_dispatch_meta_outplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8926936Z   test_dispatch_meta_outplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927088Z   test_dispatch_meta_outplace_log_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927235Z   test_dispatch_meta_outplace_log_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927379Z   test_dispatch_meta_outplace_log_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927523Z   test_dispatch_meta_outplace_log_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927673Z   test_dispatch_meta_outplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8927839Z   test_dispatch_meta_outplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928005Z   test_dispatch_meta_outplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928172Z   test_dispatch_meta_outplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928334Z   test_dispatch_meta_outplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928513Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928687Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8928860Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929047Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929226Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929404Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929586Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929760Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8929934Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8930108Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8930310Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8930486Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8930648Z   test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8930849Z   test_dispatch_meta_outplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8931013Z   test_dispatch_meta_outplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8931176Z   test_dispatch_meta_outplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8931335Z   test_dispatch_meta_outplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8931500Z   test_dispatch_meta_outplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8931662Z   test_dispatch_meta_outplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8931837Z   test_dispatch_meta_outplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.8931994Z   test_dispatch_meta_outplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:55.8932160Z   test_dispatch_meta_outplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.8932328Z   test_dispatch_meta_outplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.8932487Z   test_dispatch_meta_outplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.8932649Z   test_dispatch_meta_outplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8932807Z   test_dispatch_meta_outplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8932965Z   test_dispatch_meta_outplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8933134Z   test_dispatch_meta_outplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8933297Z   test_dispatch_meta_outplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8933457Z   test_dispatch_meta_outplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.374s)
2022-11-23T01:45:55.8933626Z   test_dispatch_meta_outplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.370s)
2022-11-23T01:45:55.8933790Z   test_dispatch_meta_outplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8933954Z   test_dispatch_meta_outplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934116Z   test_dispatch_meta_outplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934277Z   test_dispatch_meta_outplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934439Z   test_dispatch_meta_outplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934594Z   test_dispatch_meta_outplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934746Z   test_dispatch_meta_outplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8934907Z   test_dispatch_meta_outplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8935071Z   test_dispatch_meta_outplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8935230Z   test_dispatch_meta_outplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8935398Z   test_dispatch_meta_outplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8935563Z   test_dispatch_meta_outplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8935724Z   test_dispatch_meta_outplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8935914Z   test_dispatch_meta_outplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936078Z   test_dispatch_meta_outplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936228Z   test_dispatch_meta_outplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936409Z   test_dispatch_meta_outplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936563Z   test_dispatch_meta_outplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936724Z   test_dispatch_meta_outplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8936879Z   test_dispatch_meta_outplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8937041Z   test_dispatch_meta_outplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8937203Z   test_dispatch_meta_outplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8937370Z   test_dispatch_meta_outplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.374s)
2022-11-23T01:45:55.8937534Z   test_dispatch_meta_outplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.367s)
2022-11-23T01:45:55.8937692Z   test_dispatch_meta_outplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8937852Z   test_dispatch_meta_outplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8938010Z   test_dispatch_meta_outplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8938167Z   test_dispatch_meta_outplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8938323Z   test_dispatch_meta_outplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8938478Z   test_dispatch_meta_outplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8938635Z   test_dispatch_meta_outplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8938994Z   test_dispatch_meta_outplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.8939159Z   test_dispatch_meta_outplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8939319Z   test_dispatch_meta_outplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8939488Z   test_dispatch_meta_outplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.377s)
2022-11-23T01:45:55.8939655Z   test_dispatch_meta_outplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.375s)
2022-11-23T01:45:55.8939821Z   test_dispatch_meta_outplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.8939981Z   test_dispatch_meta_outplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940143Z   test_dispatch_meta_outplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940301Z   test_dispatch_meta_outplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940461Z   test_dispatch_meta_outplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940610Z   test_dispatch_meta_outplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940771Z   test_dispatch_meta_outplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8940924Z   test_dispatch_meta_outplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.8941079Z   test_dispatch_meta_outplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8941233Z   test_dispatch_meta_outplace_logit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8941449Z   test_dispatch_meta_outplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8941609Z   test_dispatch_meta_outplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8941765Z   test_dispatch_meta_outplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8941941Z   test_dispatch_meta_outplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8942096Z   test_dispatch_meta_outplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8942250Z   test_dispatch_meta_outplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8942404Z   test_dispatch_meta_outplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8942557Z   test_dispatch_meta_outplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8942718Z   test_dispatch_meta_outplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.334s)
2022-11-23T01:45:55.8942891Z   test_dispatch_meta_outplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.336s)
2022-11-23T01:45:55.8943054Z   test_dispatch_meta_outplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.334s)
2022-11-23T01:45:55.8943213Z   test_dispatch_meta_outplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.338s)
2022-11-23T01:45:55.8943364Z   test_dispatch_meta_outplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.337s)
2022-11-23T01:45:55.8943521Z   test_dispatch_meta_outplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.337s)
2022-11-23T01:45:55.8943679Z   test_dispatch_meta_outplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.310s)
2022-11-23T01:45:55.8943837Z   test_dispatch_meta_outplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.311s)
2022-11-23T01:45:55.8943994Z   test_dispatch_meta_outplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.310s)
2022-11-23T01:45:55.8944156Z   test_dispatch_meta_outplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.125s)
2022-11-23T01:45:55.8944309Z   test_dispatch_meta_outplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:55.8944474Z   test_dispatch_meta_outplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8944625Z   test_dispatch_meta_outplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8944788Z   test_dispatch_meta_outplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8944948Z   test_dispatch_meta_outplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.8945108Z   test_dispatch_meta_outplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.8945269Z   test_dispatch_meta_outplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8945426Z   test_dispatch_meta_outplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8945583Z   test_dispatch_meta_outplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8945737Z   test_dispatch_meta_outplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8945897Z   test_dispatch_meta_outplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8946046Z   test_dispatch_meta_outplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8946200Z   test_dispatch_meta_outplace_long_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8946355Z   test_dispatch_meta_outplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8946511Z   test_dispatch_meta_outplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8946665Z   test_dispatch_meta_outplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8946848Z   test_dispatch_meta_outplace_long_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947008Z   test_dispatch_meta_outplace_long_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947163Z   test_dispatch_meta_outplace_long_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947335Z   test_dispatch_meta_outplace_long_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947489Z   test_dispatch_meta_outplace_long_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947637Z   test_dispatch_meta_outplace_long_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947790Z   test_dispatch_meta_outplace_long_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8947939Z   test_dispatch_meta_outplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.8948092Z   test_dispatch_meta_outplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8948248Z   test_dispatch_meta_outplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.8948402Z   test_dispatch_meta_outplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.8948544Z   test_dispatch_meta_outplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8948693Z   test_dispatch_meta_outplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8948843Z   test_dispatch_meta_outplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8948989Z   test_dispatch_meta_outplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8949133Z   test_dispatch_meta_outplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8969866Z   test_dispatch_meta_outplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8970043Z   test_dispatch_meta_outplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.8970212Z   test_dispatch_meta_outplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:55.8970366Z   test_dispatch_meta_outplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.8970517Z   test_dispatch_meta_outplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8970669Z   test_dispatch_meta_outplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.8970836Z   test_dispatch_meta_outplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.8970991Z   test_dispatch_meta_outplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.8971150Z   test_dispatch_meta_outplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:55.8971308Z   test_dispatch_meta_outplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.8971474Z   test_dispatch_meta_outplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8971639Z   test_dispatch_meta_outplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8971799Z   test_dispatch_meta_outplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8971960Z   test_dispatch_meta_outplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8972115Z   test_dispatch_meta_outplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8972270Z   test_dispatch_meta_outplace_mH_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8972421Z   test_dispatch_meta_outplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8972577Z   test_dispatch_meta_outplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8972732Z   test_dispatch_meta_outplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.8972946Z   test_dispatch_meta_outplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973105Z   test_dispatch_meta_outplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973269Z   test_dispatch_meta_outplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973432Z   test_dispatch_meta_outplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973601Z   test_dispatch_meta_outplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973737Z   test_dispatch_meta_outplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8973887Z   test_dispatch_meta_outplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974033Z   test_dispatch_meta_outplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974187Z   test_dispatch_meta_outplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974341Z   test_dispatch_meta_outplace_mT_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974498Z   test_dispatch_meta_outplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974655Z   test_dispatch_meta_outplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974807Z   test_dispatch_meta_outplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8974952Z   test_dispatch_meta_outplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975100Z   test_dispatch_meta_outplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975247Z   test_dispatch_meta_outplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975394Z   test_dispatch_meta_outplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975540Z   test_dispatch_meta_outplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975687Z   test_dispatch_meta_outplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975839Z   test_dispatch_meta_outplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8975985Z   test_dispatch_meta_outplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.8976152Z   test_dispatch_meta_outplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.8976310Z   test_dispatch_meta_outplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.8976473Z   test_dispatch_meta_outplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:55.8976634Z   test_dispatch_meta_outplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:55.8976795Z   test_dispatch_meta_outplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8976954Z   test_dispatch_meta_outplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8977112Z   test_dispatch_meta_outplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8977271Z   test_dispatch_meta_outplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8977426Z   test_dispatch_meta_outplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8977585Z   test_dispatch_meta_outplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:55.8977743Z   test_dispatch_meta_outplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.8977902Z   test_dispatch_meta_outplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:55.8978060Z   test_dispatch_meta_outplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:55.8978218Z   test_dispatch_meta_outplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8978399Z   test_dispatch_meta_outplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8978556Z   test_dispatch_meta_outplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8978718Z   test_dispatch_meta_outplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:55.8979043Z   test_dispatch_meta_outplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:55.8979205Z   test_dispatch_meta_outplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8979374Z   test_dispatch_meta_outplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8979540Z   test_dispatch_meta_outplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8979706Z   test_dispatch_meta_outplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8979871Z   test_dispatch_meta_outplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8980034Z   test_dispatch_meta_outplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.8980193Z   test_dispatch_meta_outplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8980359Z   test_dispatch_meta_outplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8980518Z   test_dispatch_meta_outplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8980677Z   test_dispatch_meta_outplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8980841Z   test_dispatch_meta_outplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8981006Z   test_dispatch_meta_outplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8981172Z   test_dispatch_meta_outplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:55.8981332Z   test_dispatch_meta_outplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8981494Z   test_dispatch_meta_outplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8981652Z   test_dispatch_meta_outplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8981818Z   test_dispatch_meta_outplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8981968Z   test_dispatch_meta_outplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.8982141Z   test_dispatch_meta_outplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8982314Z   test_dispatch_meta_outplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8982484Z   test_dispatch_meta_outplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8982652Z   test_dispatch_meta_outplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8982825Z   test_dispatch_meta_outplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8982989Z   test_dispatch_meta_outplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8983157Z   test_dispatch_meta_outplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8983323Z   test_dispatch_meta_outplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8983479Z   test_dispatch_meta_outplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8983638Z   test_dispatch_meta_outplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8983798Z   test_dispatch_meta_outplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.8984016Z   test_dispatch_meta_outplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8984191Z   test_dispatch_meta_outplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8984359Z   test_dispatch_meta_outplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8984553Z   test_dispatch_meta_outplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8984723Z   test_dispatch_meta_outplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8984887Z   test_dispatch_meta_outplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985041Z   test_dispatch_meta_outplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985202Z   test_dispatch_meta_outplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985363Z   test_dispatch_meta_outplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985524Z   test_dispatch_meta_outplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985682Z   test_dispatch_meta_outplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8985849Z   test_dispatch_meta_outplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986010Z   test_dispatch_meta_outplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986178Z   test_dispatch_meta_outplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986332Z   test_dispatch_meta_outplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986500Z   test_dispatch_meta_outplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.8986661Z   test_dispatch_meta_outplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986820Z   test_dispatch_meta_outplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8986978Z   test_dispatch_meta_outplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987140Z   test_dispatch_meta_outplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987300Z   test_dispatch_meta_outplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987455Z   test_dispatch_meta_outplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987616Z   test_dispatch_meta_outplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987762Z   test_dispatch_meta_outplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.8987940Z   test_dispatch_meta_outplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8988115Z   test_dispatch_meta_outplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8988279Z   test_dispatch_meta_outplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8988446Z   test_dispatch_meta_outplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.8988619Z   test_dispatch_meta_outplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8988789Z   test_dispatch_meta_outplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8988955Z   test_dispatch_meta_outplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.8989124Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.184s)
2022-11-23T01:45:55.8989313Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:55.8989477Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:55.8989641Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.184s)
2022-11-23T01:45:55.8989835Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:55.8990000Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.160s)
2022-11-23T01:45:55.8990168Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:55.8990411Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.160s)
2022-11-23T01:45:55.8990585Z   test_dispatch_meta_outplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:55.8990754Z   test_dispatch_meta_outplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.276s)
2022-11-23T01:45:55.8990906Z   test_dispatch_meta_outplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8991073Z   test_dispatch_meta_outplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.223s)
2022-11-23T01:45:55.8991243Z   test_dispatch_meta_outplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.223s)
2022-11-23T01:45:55.8991406Z   test_dispatch_meta_outplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.276s)
2022-11-23T01:45:55.8991567Z   test_dispatch_meta_outplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.265s)
2022-11-23T01:45:55.8991728Z   test_dispatch_meta_outplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.268s)
2022-11-23T01:45:55.8991887Z   test_dispatch_meta_outplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8992048Z   test_dispatch_meta_outplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:55.8992198Z   test_dispatch_meta_outplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8992357Z   test_dispatch_meta_outplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8992511Z   test_dispatch_meta_outplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:55.8992683Z   test_dispatch_meta_outplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8992849Z   test_dispatch_meta_outplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8993037Z   test_dispatch_meta_outplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.8993228Z   test_dispatch_meta_outplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.688s)
2022-11-23T01:45:55.8993387Z   test_dispatch_meta_outplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.668s)
2022-11-23T01:45:55.8993550Z   test_dispatch_meta_outplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.642s)
2022-11-23T01:45:55.8993701Z   test_dispatch_meta_outplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.644s)
2022-11-23T01:45:55.8993873Z   test_dispatch_meta_outplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8994051Z   test_dispatch_meta_outplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8994227Z   test_dispatch_meta_outplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.8994396Z   test_dispatch_meta_outplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.8994563Z   test_dispatch_meta_outplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:55.8994726Z   test_dispatch_meta_outplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:55.8994917Z   test_dispatch_meta_outplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (2.452s)
2022-11-23T01:45:55.8995083Z   test_dispatch_meta_outplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (2.401s)
2022-11-23T01:45:55.8995246Z   test_dispatch_meta_outplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (13.727s)
2022-11-23T01:45:55.8995435Z   test_dispatch_meta_outplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (6.934s)
2022-11-23T01:45:55.8995595Z   test_dispatch_meta_outplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.457s)
2022-11-23T01:45:55.8995758Z   test_dispatch_meta_outplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.697s)
2022-11-23T01:45:55.8995916Z   test_dispatch_meta_outplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.720s)
2022-11-23T01:45:55.8996079Z   test_dispatch_meta_outplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.114s)
2022-11-23T01:45:55.8996241Z   test_dispatch_meta_outplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.113s)
2022-11-23T01:45:55.8996397Z   test_dispatch_meta_outplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.109s)
2022-11-23T01:45:55.8996546Z   test_dispatch_meta_outplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.113s)
2022-11-23T01:45:55.8996704Z   test_dispatch_meta_outplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.113s)
2022-11-23T01:45:55.8996875Z   test_dispatch_meta_outplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997037Z   test_dispatch_meta_outplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997211Z   test_dispatch_meta_outplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997383Z   test_dispatch_meta_outplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997553Z   test_dispatch_meta_outplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997719Z   test_dispatch_meta_outplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8997889Z   test_dispatch_meta_outplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998049Z   test_dispatch_meta_outplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998213Z   test_dispatch_meta_outplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998374Z   test_dispatch_meta_outplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998535Z   test_dispatch_meta_outplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998694Z   test_dispatch_meta_outplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.8998859Z   test_dispatch_meta_outplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:55.8999024Z   test_dispatch_meta_outplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8999194Z   test_dispatch_meta_outplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.8999363Z   test_dispatch_meta_outplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8999519Z   test_dispatch_meta_outplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.8999682Z   test_dispatch_meta_outplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.8999844Z   test_dispatch_meta_outplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9000004Z   test_dispatch_meta_outplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9000164Z   test_dispatch_meta_outplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.9000353Z   test_dispatch_meta_outplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:55.9000520Z   test_dispatch_meta_outplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:55.9000678Z   test_dispatch_meta_outplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9000869Z   test_dispatch_meta_outplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9001035Z   test_dispatch_meta_outplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9001201Z   test_dispatch_meta_outplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9001367Z   test_dispatch_meta_outplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9001534Z   test_dispatch_meta_outplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.9001706Z   test_dispatch_meta_outplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9001867Z   test_dispatch_meta_outplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.9002028Z   test_dispatch_meta_outplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9002190Z   test_dispatch_meta_outplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.204s)
2022-11-23T01:45:55.9002347Z   test_dispatch_meta_outplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.993s)
2022-11-23T01:45:55.9002511Z   test_dispatch_meta_outplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.990s)
2022-11-23T01:45:55.9002672Z   test_dispatch_meta_outplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.603s)
2022-11-23T01:45:55.9002832Z   test_dispatch_meta_outplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.326s)
2022-11-23T01:45:55.9002990Z   test_dispatch_meta_outplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.177s)
2022-11-23T01:45:55.9003149Z   test_dispatch_meta_outplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.171s)
2022-11-23T01:45:55.9003309Z   test_dispatch_meta_outplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.142s)
2022-11-23T01:45:55.9003468Z   test_dispatch_meta_outplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.130s)
2022-11-23T01:45:55.9003626Z   test_dispatch_meta_outplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.107s)
2022-11-23T01:45:55.9003771Z   test_dispatch_meta_outplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.210s)
2022-11-23T01:45:55.9003934Z   test_dispatch_meta_outplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.117s)
2022-11-23T01:45:55.9004094Z   test_dispatch_meta_outplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.100s)
2022-11-23T01:45:55.9004261Z   test_dispatch_meta_outplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9004424Z   test_dispatch_meta_outplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9004585Z   test_dispatch_meta_outplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.164s)
2022-11-23T01:45:55.9004750Z   test_dispatch_meta_outplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.164s)
2022-11-23T01:45:55.9004906Z   test_dispatch_meta_outplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.164s)
2022-11-23T01:45:55.9005056Z   test_dispatch_meta_outplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:55.9005216Z   test_dispatch_meta_outplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9005369Z   test_dispatch_meta_outplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9005524Z   test_dispatch_meta_outplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9005708Z   test_dispatch_meta_outplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9005874Z   test_dispatch_meta_outplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.160s)
2022-11-23T01:45:55.9006040Z   test_dispatch_meta_outplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.934s)
2022-11-23T01:45:55.9006237Z   test_dispatch_meta_outplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.931s)
2022-11-23T01:45:55.9006397Z   test_dispatch_meta_outplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.338s)
2022-11-23T01:45:55.9006548Z   test_dispatch_meta_outplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.069s)
2022-11-23T01:45:55.9006703Z   test_dispatch_meta_outplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.065s)
2022-11-23T01:45:55.9006859Z   test_dispatch_meta_outplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.896s)
2022-11-23T01:45:55.9007018Z   test_dispatch_meta_outplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.895s)
2022-11-23T01:45:55.9007169Z   test_dispatch_meta_outplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.893s)
2022-11-23T01:45:55.9007325Z   test_dispatch_meta_outplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.908s)
2022-11-23T01:45:55.9007482Z   test_dispatch_meta_outplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.896s)
2022-11-23T01:45:55.9007636Z   test_dispatch_meta_outplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9007790Z   test_dispatch_meta_outplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9007942Z   test_dispatch_meta_outplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9008099Z   test_dispatch_meta_outplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9008254Z   test_dispatch_meta_outplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9008413Z   test_dispatch_meta_outplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9008574Z   test_dispatch_meta_outplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9008739Z   test_dispatch_meta_outplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9008907Z   test_dispatch_meta_outplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9009065Z   test_dispatch_meta_outplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9009214Z   test_dispatch_meta_outplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9009375Z   test_dispatch_meta_outplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9009539Z   test_dispatch_meta_outplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9009698Z   test_dispatch_meta_outplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9009861Z   test_dispatch_meta_outplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9010022Z   test_dispatch_meta_outplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010181Z   test_dispatch_meta_outplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010339Z   test_dispatch_meta_outplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010496Z   test_dispatch_meta_outplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010641Z   test_dispatch_meta_outplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010799Z   test_dispatch_meta_outplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9010979Z   test_dispatch_meta_outplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9011169Z   test_dispatch_meta_outplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (3.582s)
2022-11-23T01:45:55.9011352Z   test_dispatch_meta_outplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (3.536s)
2022-11-23T01:45:55.9011565Z   test_dispatch_meta_outplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.572s)
2022-11-23T01:45:55.9011743Z   test_dispatch_meta_outplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.577s)
2022-11-23T01:45:55.9011918Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012092Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012258Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012432Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012606Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012776Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9012941Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013099Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013266Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013428Z   test_dispatch_meta_outplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013599Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013772Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9013949Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014121Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014291Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014463Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014632Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014804Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9014976Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9015141Z   test_dispatch_meta_outplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9015299Z   test_dispatch_meta_outplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9015459Z   test_dispatch_meta_outplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9015618Z   test_dispatch_meta_outplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9015775Z   test_dispatch_meta_outplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9015931Z   test_dispatch_meta_outplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016089Z   test_dispatch_meta_outplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016246Z   test_dispatch_meta_outplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016427Z   test_dispatch_meta_outplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016576Z   test_dispatch_meta_outplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016729Z   test_dispatch_meta_outplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9016908Z   test_dispatch_meta_outplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9017064Z   test_dispatch_meta_outplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9017227Z   test_dispatch_meta_outplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9017381Z   test_dispatch_meta_outplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9017537Z   test_dispatch_meta_outplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9017690Z   test_dispatch_meta_outplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9017836Z   test_dispatch_meta_outplace_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:55.9017991Z   test_dispatch_meta_outplace_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:55.9018151Z   test_dispatch_meta_outplace_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:55.9018301Z   test_dispatch_meta_outplace_median_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:55.9018456Z   test_dispatch_meta_outplace_median_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.9018606Z   test_dispatch_meta_outplace_median_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.9018763Z   test_dispatch_meta_outplace_median_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.9019024Z   test_dispatch_meta_outplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:55.9019211Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9019380Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9019563Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9019748Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9019925Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020102Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020272Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020449Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020625Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020797Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9020967Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9021137Z   test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9021324Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9021501Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9021686Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9021912Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022093Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022271Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022477Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022646Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022823Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9022997Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9023174Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9023350Z   test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9023513Z   test_dispatch_meta_outplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9023675Z   test_dispatch_meta_outplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9023839Z   test_dispatch_meta_outplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9023998Z   test_dispatch_meta_outplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024146Z   test_dispatch_meta_outplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024305Z   test_dispatch_meta_outplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024464Z   test_dispatch_meta_outplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024620Z   test_dispatch_meta_outplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024777Z   test_dispatch_meta_outplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9024930Z   test_dispatch_meta_outplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9025111Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9025285Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9025457Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9025622Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9025798Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9025969Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9026134Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9026298Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9026469Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9026631Z   test_dispatch_meta_outplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9026807Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9026979Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9027169Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9027342Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9027514Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9027706Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9027879Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9028051Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9028221Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9028389Z   test_dispatch_meta_outplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9028549Z   test_dispatch_meta_outplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9028698Z   test_dispatch_meta_outplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9028858Z   test_dispatch_meta_outplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9029018Z   test_dispatch_meta_outplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029172Z   test_dispatch_meta_outplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029328Z   test_dispatch_meta_outplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029484Z   test_dispatch_meta_outplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029638Z   test_dispatch_meta_outplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029793Z   test_dispatch_meta_outplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9029938Z   test_dispatch_meta_outplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9030094Z   test_dispatch_meta_outplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9030302Z   test_dispatch_meta_outplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9030490Z   test_dispatch_meta_outplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9030646Z   test_dispatch_meta_outplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9030797Z   test_dispatch_meta_outplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9030942Z   test_dispatch_meta_outplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9031096Z   test_dispatch_meta_outplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9031248Z   test_dispatch_meta_outplace_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9031403Z   test_dispatch_meta_outplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9031558Z   test_dispatch_meta_outplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9031711Z   test_dispatch_meta_outplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:55.9031861Z   test_dispatch_meta_outplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9032007Z   test_dispatch_meta_outplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9032153Z   test_dispatch_meta_outplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9032308Z   test_dispatch_meta_outplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9032454Z   test_dispatch_meta_outplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9032634Z   test_dispatch_meta_outplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9032788Z   test_dispatch_meta_outplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9032955Z   test_dispatch_meta_outplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033148Z   test_dispatch_meta_outplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033311Z   test_dispatch_meta_outplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033471Z   test_dispatch_meta_outplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033629Z   test_dispatch_meta_outplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033783Z   test_dispatch_meta_outplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9033931Z   test_dispatch_meta_outplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9034087Z   test_dispatch_meta_outplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9034245Z   test_dispatch_meta_outplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9034395Z   test_dispatch_meta_outplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9034548Z   test_dispatch_meta_outplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9034705Z   test_dispatch_meta_outplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9034860Z   test_dispatch_meta_outplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035006Z   test_dispatch_meta_outplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035158Z   test_dispatch_meta_outplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035312Z   test_dispatch_meta_outplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035468Z   test_dispatch_meta_outplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035620Z   test_dispatch_meta_outplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035775Z   test_dispatch_meta_outplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9035931Z   test_dispatch_meta_outplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9036085Z   test_dispatch_meta_outplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9036236Z   test_dispatch_meta_outplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9036387Z   test_dispatch_meta_outplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9036540Z   test_dispatch_meta_outplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9036694Z   test_dispatch_meta_outplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9036845Z   test_dispatch_meta_outplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9036998Z   test_dispatch_meta_outplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9037150Z   test_dispatch_meta_outplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9037303Z   test_dispatch_meta_outplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9037450Z   test_dispatch_meta_outplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9037589Z   test_dispatch_meta_outplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9037740Z   test_dispatch_meta_outplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9037889Z   test_dispatch_meta_outplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9038085Z   test_dispatch_meta_outplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:55.9038251Z   test_dispatch_meta_outplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:55.9038414Z   test_dispatch_meta_outplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:55.9038589Z   test_dispatch_meta_outplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9038744Z   test_dispatch_meta_outplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9038892Z   test_dispatch_meta_outplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9039044Z   test_dispatch_meta_outplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9039190Z   test_dispatch_meta_outplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9039336Z   test_dispatch_meta_outplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9039515Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9039691Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9039870Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040043Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040215Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040377Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040548Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040718Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9040898Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9041068Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9041240Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9041406Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9041576Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9041743Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9041904Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9042075Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9042243Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9042414Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9042588Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9042752Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9042921Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9043085Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9043254Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9043438Z   test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9043603Z   test_dispatch_meta_outplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9043760Z   test_dispatch_meta_outplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9043963Z   test_dispatch_meta_outplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9044130Z   test_dispatch_meta_outplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9044286Z   test_dispatch_meta_outplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9044444Z   test_dispatch_meta_outplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9044600Z   test_dispatch_meta_outplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9044757Z   test_dispatch_meta_outplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9044913Z   test_dispatch_meta_outplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9045056Z   test_dispatch_meta_outplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9045213Z   test_dispatch_meta_outplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.125s)
2022-11-23T01:45:55.9045368Z   test_dispatch_meta_outplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.125s)
2022-11-23T01:45:55.9045521Z   test_dispatch_meta_outplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:55.9045673Z   test_dispatch_meta_outplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.121s)
2022-11-23T01:45:55.9045833Z   test_dispatch_meta_outplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9045992Z   test_dispatch_meta_outplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046151Z   test_dispatch_meta_outplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046303Z   test_dispatch_meta_outplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046448Z   test_dispatch_meta_outplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046601Z   test_dispatch_meta_outplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046758Z   test_dispatch_meta_outplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9046916Z   test_dispatch_meta_outplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9047080Z   test_dispatch_meta_outplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.817s)
2022-11-23T01:45:55.9047244Z   test_dispatch_meta_outplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.818s)
2022-11-23T01:45:55.9047401Z   test_dispatch_meta_outplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9047555Z   test_dispatch_meta_outplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9047702Z   test_dispatch_meta_outplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9047860Z   test_dispatch_meta_outplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9048015Z   test_dispatch_meta_outplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9048171Z   test_dispatch_meta_outplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9048324Z   test_dispatch_meta_outplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9048478Z   test_dispatch_meta_outplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9048632Z   test_dispatch_meta_outplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9048807Z   test_dispatch_meta_outplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9049006Z   test_dispatch_meta_outplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9049192Z   test_dispatch_meta_outplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9049415Z   test_dispatch_meta_outplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9049611Z   test_dispatch_meta_outplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9049808Z   test_dispatch_meta_outplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050000Z   test_dispatch_meta_outplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050194Z   test_dispatch_meta_outplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050379Z   test_dispatch_meta_outplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050571Z   test_dispatch_meta_outplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050763Z   test_dispatch_meta_outplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9050943Z   test_dispatch_meta_outplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9051136Z   test_dispatch_meta_outplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9051321Z   test_dispatch_meta_outplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9051483Z   test_dispatch_meta_outplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9051638Z   test_dispatch_meta_outplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9051799Z   test_dispatch_meta_outplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9051962Z   test_dispatch_meta_outplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052121Z   test_dispatch_meta_outplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052276Z   test_dispatch_meta_outplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052425Z   test_dispatch_meta_outplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052580Z   test_dispatch_meta_outplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052736Z   test_dispatch_meta_outplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9052892Z   test_dispatch_meta_outplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9053045Z   test_dispatch_meta_outplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9053199Z   test_dispatch_meta_outplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9053351Z   test_dispatch_meta_outplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9053521Z   test_dispatch_meta_outplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9053691Z   test_dispatch_meta_outplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9053848Z   test_dispatch_meta_outplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9054034Z   test_dispatch_meta_outplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9054215Z   test_dispatch_meta_outplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9054393Z   test_dispatch_meta_outplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9054595Z   test_dispatch_meta_outplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9054768Z   test_dispatch_meta_outplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9054935Z   test_dispatch_meta_outplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9055098Z   test_dispatch_meta_outplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9055259Z   test_dispatch_meta_outplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9055424Z   test_dispatch_meta_outplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9055578Z   test_dispatch_meta_outplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9055728Z   test_dispatch_meta_outplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9055889Z   test_dispatch_meta_outplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056044Z   test_dispatch_meta_outplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056197Z   test_dispatch_meta_outplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9056344Z   test_dispatch_meta_outplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056489Z   test_dispatch_meta_outplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056631Z   test_dispatch_meta_outplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056779Z   test_dispatch_meta_outplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9056922Z   test_dispatch_meta_outplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9057070Z   test_dispatch_meta_outplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9057216Z   test_dispatch_meta_outplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9057371Z   test_dispatch_meta_outplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9057528Z   test_dispatch_meta_outplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9057683Z   test_dispatch_meta_outplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9057833Z   test_dispatch_meta_outplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9057985Z   test_dispatch_meta_outplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9058140Z   test_dispatch_meta_outplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9058292Z   test_dispatch_meta_outplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9058444Z   test_dispatch_meta_outplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9058593Z   test_dispatch_meta_outplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9058739Z   test_dispatch_meta_outplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9059003Z   test_dispatch_meta_outplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9059152Z   test_dispatch_meta_outplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9059306Z   test_dispatch_meta_outplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9059463Z   test_dispatch_meta_outplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9059671Z   test_dispatch_meta_outplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9059838Z   test_dispatch_meta_outplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9060001Z   test_dispatch_meta_outplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9060190Z   test_dispatch_meta_outplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9060350Z   test_dispatch_meta_outplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9060505Z   test_dispatch_meta_outplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9060655Z   test_dispatch_meta_outplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9060814Z   test_dispatch_meta_outplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9060969Z   test_dispatch_meta_outplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9061125Z   test_dispatch_meta_outplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9061282Z   test_dispatch_meta_outplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9061455Z   test_dispatch_meta_outplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9061619Z   test_dispatch_meta_outplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9061795Z   test_dispatch_meta_outplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9061966Z   test_dispatch_meta_outplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9062131Z   test_dispatch_meta_outplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9062307Z   test_dispatch_meta_outplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9062472Z   test_dispatch_meta_outplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9062637Z   test_dispatch_meta_outplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9062805Z   test_dispatch_meta_outplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9062966Z   test_dispatch_meta_outplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9063125Z   test_dispatch_meta_outplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9063291Z   test_dispatch_meta_outplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9063460Z   test_dispatch_meta_outplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9063613Z   test_dispatch_meta_outplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9063771Z   test_dispatch_meta_outplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9063933Z   test_dispatch_meta_outplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064097Z   test_dispatch_meta_outplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064258Z   test_dispatch_meta_outplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064417Z   test_dispatch_meta_outplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064575Z   test_dispatch_meta_outplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064734Z   test_dispatch_meta_outplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9064906Z   test_dispatch_meta_outplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065063Z   test_dispatch_meta_outplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065217Z   test_dispatch_meta_outplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065371Z   test_dispatch_meta_outplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065547Z   test_dispatch_meta_outplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065705Z   test_dispatch_meta_outplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9065856Z   test_dispatch_meta_outplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066022Z   test_dispatch_meta_outplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066181Z   test_dispatch_meta_outplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066334Z   test_dispatch_meta_outplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066490Z   test_dispatch_meta_outplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066648Z   test_dispatch_meta_outplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066804Z   test_dispatch_meta_outplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9066956Z   test_dispatch_meta_outplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067107Z   test_dispatch_meta_outplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067261Z   test_dispatch_meta_outplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067415Z   test_dispatch_meta_outplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067558Z   test_dispatch_meta_outplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067723Z   test_dispatch_meta_outplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9067876Z   test_dispatch_meta_outplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9068042Z   test_dispatch_meta_outplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068206Z   test_dispatch_meta_outplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068369Z   test_dispatch_meta_outplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068528Z   test_dispatch_meta_outplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068687Z   test_dispatch_meta_outplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068841Z   test_dispatch_meta_outplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9068992Z   test_dispatch_meta_outplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9069149Z   test_dispatch_meta_outplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9069300Z   test_dispatch_meta_outplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9069454Z   test_dispatch_meta_outplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9069609Z   test_dispatch_meta_outplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9069769Z   test_dispatch_meta_outplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9069925Z   test_dispatch_meta_outplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9070082Z   test_dispatch_meta_outplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9070388Z   test_dispatch_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.9070614Z   test_dispatch_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.9070821Z   test_dispatch_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.9071047Z   test_dispatch_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.9071239Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9071427Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9071609Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9071789Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9071972Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9072154Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9072323Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9072501Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9072681Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9072858Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9073037Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9073214Z   test_dispatch_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9073396Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9073573Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9073750Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9073930Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9074102Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9074284Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9074462Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9074640Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9074818Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9074993Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9075168Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9075345Z   test_dispatch_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9075552Z   test_dispatch_meta_outplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9075730Z   test_dispatch_meta_outplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9075935Z   test_dispatch_meta_outplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9076117Z   test_dispatch_meta_outplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9076296Z   test_dispatch_meta_outplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9076472Z   test_dispatch_meta_outplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9076649Z   test_dispatch_meta_outplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9076822Z   test_dispatch_meta_outplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9076995Z   test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9077168Z   test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9077342Z   test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9077503Z   test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9077675Z   test_dispatch_meta_outplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9077853Z   test_dispatch_meta_outplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9078031Z   test_dispatch_meta_outplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9078201Z   test_dispatch_meta_outplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9078379Z   test_dispatch_meta_outplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9078553Z   test_dispatch_meta_outplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9078725Z   test_dispatch_meta_outplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.130s)
2022-11-23T01:45:55.9078893Z   test_dispatch_meta_outplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9079078Z   test_dispatch_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9079267Z   test_dispatch_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9079464Z   test_dispatch_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9079653Z   test_dispatch_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9079833Z   test_dispatch_meta_outplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9080007Z   test_dispatch_meta_outplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.9080182Z   test_dispatch_meta_outplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9080356Z   test_dispatch_meta_outplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9080546Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9080753Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9080935Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9081113Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9081346Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.9081541Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:55.9081737Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:55.9081935Z   test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.9082110Z   test_dispatch_meta_outplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9082286Z   test_dispatch_meta_outplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9082452Z   test_dispatch_meta_outplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9082607Z   test_dispatch_meta_outplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9082782Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9082960Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.965s)
2022-11-23T01:45:55.9083136Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.357s)
2022-11-23T01:45:55.9083312Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9083485Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9083657Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9083831Z   test_dispatch_meta_outplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9084001Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9084167Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.256s)
2022-11-23T01:45:55.9084341Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.272s)
2022-11-23T01:45:55.9084512Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.291s)
2022-11-23T01:45:55.9084682Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9084850Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9085020Z   test_dispatch_meta_outplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9085210Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9085394Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:55.9085576Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:55.9085750Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:55.9085956Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9086142Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9086325Z   test_dispatch_meta_outplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9086534Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9086721Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.104s)
2022-11-23T01:45:55.9086905Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.109s)
2022-11-23T01:45:55.9087087Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:55.9087271Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9087442Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9087622Z   test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9087809Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9087996Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:55.9088179Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:55.9088359Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:55.9088540Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9088720Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9088897Z   test_dispatch_meta_outplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9089090Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:55.9089266Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:55.9089454Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:55.9089643Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.9089832Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:55.9090020Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.9090201Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.9090382Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.9090566Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:55.9090745Z   test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:55.9090920Z   test_dispatch_meta_outplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9091126Z   test_dispatch_meta_outplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.9091305Z   test_dispatch_meta_outplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:55.9091480Z   test_dispatch_meta_outplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:55.9091687Z   test_dispatch_meta_outplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9091870Z   test_dispatch_meta_outplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:55.9092051Z   test_dispatch_meta_outplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:55.9092233Z   test_dispatch_meta_outplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:55.9092408Z   test_dispatch_meta_outplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.103s)
2022-11-23T01:45:55.9092583Z   test_dispatch_meta_outplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:55.9092754Z   test_dispatch_meta_outplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9092930Z   test_dispatch_meta_outplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9093108Z   test_dispatch_meta_outplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9093280Z   test_dispatch_meta_outplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9093454Z   test_dispatch_meta_outplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9093624Z   test_dispatch_meta_outplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9093799Z   test_dispatch_meta_outplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9093968Z   test_dispatch_meta_outplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9094141Z   test_dispatch_meta_outplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9094312Z   test_dispatch_meta_outplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9094487Z   test_dispatch_meta_outplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9094662Z   test_dispatch_meta_outplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9094832Z   test_dispatch_meta_outplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9094999Z   test_dispatch_meta_outplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9095165Z   test_dispatch_meta_outplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9095327Z   test_dispatch_meta_outplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9095510Z   test_dispatch_meta_outplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.9095694Z   test_dispatch_meta_outplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.9095867Z   test_dispatch_meta_outplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:55.9096046Z   test_dispatch_meta_outplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.9096222Z   test_dispatch_meta_outplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9096423Z   test_dispatch_meta_outplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9096601Z   test_dispatch_meta_outplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9096772Z   test_dispatch_meta_outplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9097000Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9097198Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9097395Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9097587Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9097796Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9097994Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9098200Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9098406Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9098611Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9098914Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9099114Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9099312Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9099503Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9099696Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9099883Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9100079Z   test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9100270Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9100460Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9100648Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9100835Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.9101021Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9101202Z   test_dispatch_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.9101390Z   test_dispatch_meta_outplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (4.732s)
2022-11-23T01:45:55.9101564Z   test_dispatch_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (4.776s)
2022-11-23T01:45:55.9101785Z   test_dispatch_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (4.629s)
2022-11-23T01:45:55.9101964Z   test_dispatch_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (4.645s)
2022-11-23T01:45:55.9102135Z   test_dispatch_meta_outplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9102338Z   test_dispatch_meta_outplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9102506Z   test_dispatch_meta_outplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9102669Z   test_dispatch_meta_outplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9102832Z   test_dispatch_meta_outplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9102999Z   test_dispatch_meta_outplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:55.9103159Z   test_dispatch_meta_outplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9103321Z   test_dispatch_meta_outplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.9103506Z   test_dispatch_meta_outplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.580s)
2022-11-23T01:45:55.9103685Z   test_dispatch_meta_outplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.574s)
2022-11-23T01:45:55.9103858Z   test_dispatch_meta_outplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.575s)
2022-11-23T01:45:55.9104031Z   test_dispatch_meta_outplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9104205Z   test_dispatch_meta_outplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9104386Z   test_dispatch_meta_outplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9104563Z   test_dispatch_meta_outplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9104736Z   test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9104914Z   test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9105088Z   test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9105257Z   test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9105438Z   test_dispatch_meta_outplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9105615Z   test_dispatch_meta_outplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9105797Z   test_dispatch_meta_outplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9105970Z   test_dispatch_meta_outplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9106148Z   test_dispatch_meta_outplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9106324Z   test_dispatch_meta_outplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9106492Z   test_dispatch_meta_outplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9106670Z   test_dispatch_meta_outplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9106841Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9107039Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9107214Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9107387Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9107584Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9107758Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9107932Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9108098Z   test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9108284Z   test_dispatch_meta_outplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:55.9108474Z   test_dispatch_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:55.9108656Z   test_dispatch_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.9108836Z   test_dispatch_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.9109012Z   test_dispatch_meta_outplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9109186Z   test_dispatch_meta_outplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9109359Z   test_dispatch_meta_outplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9109530Z   test_dispatch_meta_outplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9109707Z   test_dispatch_meta_outplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:55.9109887Z   test_dispatch_meta_outplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9110068Z   test_dispatch_meta_outplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.9110303Z   test_dispatch_meta_outplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:55.9110500Z   test_dispatch_meta_outplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9110683Z   test_dispatch_meta_outplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9110866Z   test_dispatch_meta_outplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9111051Z   test_dispatch_meta_outplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9111238Z   test_dispatch_meta_outplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.541s)
2022-11-23T01:45:55.9111411Z   test_dispatch_meta_outplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.539s)
2022-11-23T01:45:55.9111592Z   test_dispatch_meta_outplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.553s)
2022-11-23T01:45:55.9111782Z   test_dispatch_meta_outplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.9111964Z   test_dispatch_meta_outplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.9112144Z   test_dispatch_meta_outplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:55.9112354Z   test_dispatch_meta_outplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9112535Z   test_dispatch_meta_outplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9112713Z   test_dispatch_meta_outplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9112920Z   test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9113098Z   test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9113269Z   test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9113453Z   test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9113644Z   test_dispatch_meta_outplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9113833Z   test_dispatch_meta_outplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9114024Z   test_dispatch_meta_outplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9114202Z   test_dispatch_meta_outplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9114373Z   test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:55.9114545Z   test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9114715Z   test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9114882Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9115061Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9115235Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9115410Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9115586Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9115756Z   test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9115934Z   test_dispatch_meta_outplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9116108Z   test_dispatch_meta_outplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9116283Z   test_dispatch_meta_outplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9116446Z   test_dispatch_meta_outplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9116621Z   test_dispatch_meta_outplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9116792Z   test_dispatch_meta_outplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9116962Z   test_dispatch_meta_outplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9117130Z   test_dispatch_meta_outplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9117301Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9117479Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9117677Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9117848Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9118043Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9118213Z   test_dispatch_meta_outplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9118405Z   test_dispatch_meta_outplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9118591Z   test_dispatch_meta_outplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9118772Z   test_dispatch_meta_outplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9118952Z   test_dispatch_meta_outplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9119132Z   test_dispatch_meta_outplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9119307Z   test_dispatch_meta_outplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9119484Z   test_dispatch_meta_outplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9119656Z   test_dispatch_meta_outplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9119832Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.9120011Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.9120191Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:55.9120367Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:55.9120549Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9120730Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9120905Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9121086Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9121270Z   test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:55.9121442Z   test_dispatch_meta_outplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.054s)
2022-11-23T01:45:55.9121618Z   test_dispatch_meta_outplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.043s)
2022-11-23T01:45:55.9121792Z   test_dispatch_meta_outplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.051s)
2022-11-23T01:45:55.9121965Z   test_dispatch_meta_outplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.046s)
2022-11-23T01:45:55.9122139Z   test_dispatch_meta_outplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.656s)
2022-11-23T01:45:55.9122306Z   test_dispatch_meta_outplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.664s)
2022-11-23T01:45:55.9122478Z   test_dispatch_meta_outplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.660s)
2022-11-23T01:45:55.9122648Z   test_dispatch_meta_outplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.665s)
2022-11-23T01:45:55.9122846Z   test_dispatch_meta_outplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (3.682s)
2022-11-23T01:45:55.9123006Z   test_dispatch_meta_outplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (3.678s)
2022-11-23T01:45:55.9123178Z   test_dispatch_meta_outplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.672s)
2022-11-23T01:45:55.9123365Z   test_dispatch_meta_outplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.686s)
2022-11-23T01:45:55.9123544Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.997s)
2022-11-23T01:45:55.9123723Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.992s)
2022-11-23T01:45:55.9123897Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.998s)
2022-11-23T01:45:55.9124085Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.156s)
2022-11-23T01:45:55.9124263Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.155s)
2022-11-23T01:45:55.9124439Z   test_dispatch_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:55.9124608Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.722s)
2022-11-23T01:45:55.9124782Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.712s)
2022-11-23T01:45:55.9124954Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.712s)
2022-11-23T01:45:55.9125135Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:55.9125315Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.183s)
2022-11-23T01:45:55.9125490Z   test_dispatch_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.177s)
2022-11-23T01:45:55.9125662Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.575s)
2022-11-23T01:45:55.9125835Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.576s)
2022-11-23T01:45:55.9126005Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.575s)
2022-11-23T01:45:55.9126183Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.104s)
2022-11-23T01:45:55.9126350Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.104s)
2022-11-23T01:45:55.9126530Z   test_dispatch_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9126705Z   test_dispatch_meta_outplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9126874Z   test_dispatch_meta_outplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9127043Z   test_dispatch_meta_outplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9127205Z   test_dispatch_meta_outplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9127381Z   test_dispatch_meta_outplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9127554Z   test_dispatch_meta_outplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9127727Z   test_dispatch_meta_outplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9127917Z   test_dispatch_meta_outplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9128104Z   test_dispatch_meta_outplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9128287Z   test_dispatch_meta_outplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9128488Z   test_dispatch_meta_outplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9128664Z   test_dispatch_meta_outplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9128856Z   test_dispatch_meta_outplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9129045Z   test_dispatch_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9129240Z   test_dispatch_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9129429Z   test_dispatch_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9129615Z   test_dispatch_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9129812Z   test_dispatch_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9130004Z   test_dispatch_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9130192Z   test_dispatch_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9130370Z   test_dispatch_meta_outplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.266s)
2022-11-23T01:45:55.9130546Z   test_dispatch_meta_outplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.264s)
2022-11-23T01:45:55.9130717Z   test_dispatch_meta_outplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.260s)
2022-11-23T01:45:55.9130890Z   test_dispatch_meta_outplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.259s)
2022-11-23T01:45:55.9131068Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.9131251Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9131422Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9131596Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.9131771Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9131944Z   test_dispatch_meta_outplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9132114Z   test_dispatch_meta_outplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9132297Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9132478Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9132663Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9132847Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133018Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133220Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133393Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133571Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133769Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9133939Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9134115Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9134285Z   test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9134464Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9134637Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9134821Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9135004Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9135183Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9135357Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9135532Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9135706Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9135878Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9136048Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9136213Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9136385Z   test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9136560Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9136741Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9136923Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9137102Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9137280Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9137452Z   test_dispatch_meta_outplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9137640Z   test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9137826Z   test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9137999Z   test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9138181Z   test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9138360Z   test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9138573Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9138763Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139079Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139267Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139450Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139626Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139799Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9139984Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9140168Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9140353Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9140535Z   test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9140709Z   test_dispatch_meta_outplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.9140880Z   test_dispatch_meta_outplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:55.9141059Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9141240Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9141414Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9141596Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9141777Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9141957Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9142134Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9142313Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9142493Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9142666Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9142842Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143009Z   test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143193Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143371Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143556Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143741Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9143958Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9144140Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9144346Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9144528Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9144704Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9144875Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9145051Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9145227Z   test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9145411Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.267s)
2022-11-23T01:45:55.9145591Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.266s)
2022-11-23T01:45:55.9145771Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.235s)
2022-11-23T01:45:55.9145952Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.236s)
2022-11-23T01:45:55.9146132Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:55.9146311Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:55.9146484Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:55.9146662Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:55.9146840Z   test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:55.9147015Z   test_dispatch_meta_outplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9147186Z   test_dispatch_meta_outplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9147359Z   test_dispatch_meta_outplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9147533Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9147699Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9147869Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148028Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148197Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148363Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148524Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148694Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9148863Z   test_dispatch_meta_outplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9149029Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9149225Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9149391Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9149568Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9149735Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9149897Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9150056Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9150222Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9150493Z   test_dispatch_meta_outplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9150677Z   test_dispatch_meta_outplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9150847Z   test_dispatch_meta_outplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9151021Z   test_dispatch_meta_outplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9151180Z   test_dispatch_meta_outplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9151350Z   test_dispatch_meta_outplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9151521Z   test_dispatch_meta_outplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9151689Z   test_dispatch_meta_outplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9151855Z   test_dispatch_meta_outplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9152021Z   test_dispatch_meta_outplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9152190Z   test_dispatch_meta_outplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9152357Z   test_dispatch_meta_outplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9152518Z   test_dispatch_meta_outplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9152690Z   test_dispatch_meta_outplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9152868Z   test_dispatch_meta_outplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9153045Z   test_dispatch_meta_outplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9153230Z   test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9153412Z   test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9153591Z   test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9153773Z   test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9153948Z   test_dispatch_meta_outplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9154122Z   test_dispatch_meta_outplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9154288Z   test_dispatch_meta_outplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9154500Z   test_dispatch_meta_outplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9154687Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9154874Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155093Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155276Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155456Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155634Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155816Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9155988Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9156169Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9156353Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9156529Z   test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9156707Z   test_dispatch_meta_outplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9156882Z   test_dispatch_meta_outplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9157057Z   test_dispatch_meta_outplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9157232Z   test_dispatch_meta_outplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9157411Z   test_dispatch_meta_outplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9157590Z   test_dispatch_meta_outplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9157759Z   test_dispatch_meta_outplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9157930Z   test_dispatch_meta_outplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9158107Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9158279Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9158462Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9158641Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9158814Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9158986Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9159160Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9159324Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9159498Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9159668Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9159862Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9160031Z   test_dispatch_meta_outplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9160213Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9160418Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9160598Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9160771Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9160938Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161111Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161284Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161457Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161631Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161805Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9161973Z   test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9162150Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9162329Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9162499Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9162675Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9162849Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9163026Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9163196Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9163366Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9163535Z   test_dispatch_meta_outplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9163724Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9163911Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9164094Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9164281Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9164461Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9164639Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9164821Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9165022Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9165198Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9165379Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9165587Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9165790Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9165985Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9166186Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:55.9166384Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9166585Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9166778Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9166976Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9167174Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9167371Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9167570Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9167761Z   test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9167926Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.424s)
2022-11-23T01:45:55.9168105Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.423s)
2022-11-23T01:45:55.9168280Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.424s)
2022-11-23T01:45:55.9168452Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.423s)
2022-11-23T01:45:55.9168623Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.420s)
2022-11-23T01:45:55.9168795Z   test_dispatch_meta_outplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.420s)
2022-11-23T01:45:55.9168981Z   test_dispatch_meta_outplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9169160Z   test_dispatch_meta_outplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9169337Z   test_dispatch_meta_outplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9169514Z   test_dispatch_meta_outplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9169697Z   test_dispatch_meta_outplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9169880Z   test_dispatch_meta_outplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9170062Z   test_dispatch_meta_outplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9170250Z   test_dispatch_meta_outplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9170408Z   test_dispatch_meta_outplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9170575Z   test_dispatch_meta_outplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9170760Z   test_dispatch_meta_outplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9170921Z   test_dispatch_meta_outplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9171072Z   test_dispatch_meta_outplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.231s)
2022-11-23T01:45:55.9171233Z   test_dispatch_meta_outplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9171383Z   test_dispatch_meta_outplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9171538Z   test_dispatch_meta_outplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9171697Z   test_dispatch_meta_outplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.230s)
2022-11-23T01:45:55.9171851Z   test_dispatch_meta_outplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9172006Z   test_dispatch_meta_outplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.242s)
2022-11-23T01:45:55.9172160Z   test_dispatch_meta_outplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9172306Z   test_dispatch_meta_outplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9172461Z   test_dispatch_meta_outplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9172619Z   test_dispatch_meta_outplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9172772Z   test_dispatch_meta_outplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:55.9172928Z   test_dispatch_meta_outplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:55.9173081Z   test_dispatch_meta_outplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:55.9173242Z   test_dispatch_meta_outplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9173407Z   test_dispatch_meta_outplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9173570Z   test_dispatch_meta_outplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9173721Z   test_dispatch_meta_outplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9173879Z   test_dispatch_meta_outplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9174031Z   test_dispatch_meta_outplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9174189Z   test_dispatch_meta_outplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9174354Z   test_dispatch_meta_outplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9174518Z   test_dispatch_meta_outplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9174675Z   test_dispatch_meta_outplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9174832Z   test_dispatch_meta_outplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9174977Z   test_dispatch_meta_outplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9175137Z   test_dispatch_meta_outplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9175295Z   test_dispatch_meta_outplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9175447Z   test_dispatch_meta_outplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9175624Z   test_dispatch_meta_outplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9175780Z   test_dispatch_meta_outplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9175934Z   test_dispatch_meta_outplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9176113Z   test_dispatch_meta_outplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9176267Z   test_dispatch_meta_outplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9176434Z   test_dispatch_meta_outplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9176606Z   test_dispatch_meta_outplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9176771Z   test_dispatch_meta_outplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9176935Z   test_dispatch_meta_outplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9177088Z   test_dispatch_meta_outplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9177242Z   test_dispatch_meta_outplace_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9177403Z   test_dispatch_meta_outplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9177560Z   test_dispatch_meta_outplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9177707Z   test_dispatch_meta_outplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9177862Z   test_dispatch_meta_outplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178015Z   test_dispatch_meta_outplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178167Z   test_dispatch_meta_outplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178326Z   test_dispatch_meta_outplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178474Z   test_dispatch_meta_outplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178620Z   test_dispatch_meta_outplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9178772Z   test_dispatch_meta_outplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9179053Z   test_dispatch_meta_outplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9179208Z   test_dispatch_meta_outplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9179363Z   test_dispatch_meta_outplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9179528Z   test_dispatch_meta_outplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9179691Z   test_dispatch_meta_outplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9179858Z   test_dispatch_meta_outplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180017Z   test_dispatch_meta_outplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180175Z   test_dispatch_meta_outplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180336Z   test_dispatch_meta_outplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180484Z   test_dispatch_meta_outplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180638Z   test_dispatch_meta_outplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180790Z   test_dispatch_meta_outplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9180949Z   test_dispatch_meta_outplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9181151Z   test_dispatch_meta_outplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9181312Z   test_dispatch_meta_outplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.655s)
2022-11-23T01:45:55.9181467Z   test_dispatch_meta_outplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.653s)
2022-11-23T01:45:55.9181652Z   test_dispatch_meta_outplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.650s)
2022-11-23T01:45:55.9181809Z   test_dispatch_meta_outplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.651s)
2022-11-23T01:45:55.9181956Z   test_dispatch_meta_outplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9182112Z   test_dispatch_meta_outplace_outer_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9182272Z   test_dispatch_meta_outplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9182429Z   test_dispatch_meta_outplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9182585Z   test_dispatch_meta_outplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9182738Z   test_dispatch_meta_outplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9182894Z   test_dispatch_meta_outplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183050Z   test_dispatch_meta_outplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183196Z   test_dispatch_meta_outplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183348Z   test_dispatch_meta_outplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183501Z   test_dispatch_meta_outplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183656Z   test_dispatch_meta_outplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9183823Z   test_dispatch_meta_outplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.137s)
2022-11-23T01:45:55.9183986Z   test_dispatch_meta_outplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.144s)
2022-11-23T01:45:55.9184144Z   test_dispatch_meta_outplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9184303Z   test_dispatch_meta_outplace_permute_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9184466Z   test_dispatch_meta_outplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9184620Z   test_dispatch_meta_outplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9184781Z   test_dispatch_meta_outplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9184937Z   test_dispatch_meta_outplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185093Z   test_dispatch_meta_outplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185248Z   test_dispatch_meta_outplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185401Z   test_dispatch_meta_outplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185555Z   test_dispatch_meta_outplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185711Z   test_dispatch_meta_outplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9185855Z   test_dispatch_meta_outplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9186008Z   test_dispatch_meta_outplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9186173Z   test_dispatch_meta_outplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9186334Z   test_dispatch_meta_outplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9186516Z   test_dispatch_meta_outplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9186675Z   test_dispatch_meta_outplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9186830Z   test_dispatch_meta_outplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:55.9186985Z   test_dispatch_meta_outplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.118s)
2022-11-23T01:45:55.9187187Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.972s)
2022-11-23T01:45:55.9187358Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9187537Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9187710Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9187890Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188067Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188242Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188421Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188591Z   test_dispatch_meta_outplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188763Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9188927Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189109Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189290Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189464Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189633Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189809Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9189983Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9190154Z   test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9190415Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9190583Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9190760Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9190929Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191098Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191269Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191443Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191611Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191781Z   test_dispatch_meta_outplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9191976Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9192141Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9192313Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9192519Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9192687Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9192855Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193023Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193192Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193361Z   test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193529Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193692Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9193866Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194035Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194202Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194369Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194540Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194711Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9194879Z   test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9195044Z   test_dispatch_meta_outplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9195199Z   test_dispatch_meta_outplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9195361Z   test_dispatch_meta_outplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9195524Z   test_dispatch_meta_outplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9195683Z   test_dispatch_meta_outplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9195841Z   test_dispatch_meta_outplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196001Z   test_dispatch_meta_outplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196158Z   test_dispatch_meta_outplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196314Z   test_dispatch_meta_outplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196464Z   test_dispatch_meta_outplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196622Z   test_dispatch_meta_outplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196778Z   test_dispatch_meta_outplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9196932Z   test_dispatch_meta_outplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9197090Z   test_dispatch_meta_outplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9197270Z   test_dispatch_meta_outplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9197427Z   test_dispatch_meta_outplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9197581Z   test_dispatch_meta_outplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9197762Z   test_dispatch_meta_outplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9197908Z   test_dispatch_meta_outplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198062Z   test_dispatch_meta_outplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198210Z   test_dispatch_meta_outplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198355Z   test_dispatch_meta_outplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198508Z   test_dispatch_meta_outplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198658Z   test_dispatch_meta_outplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9198811Z   test_dispatch_meta_outplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9198964Z   test_dispatch_meta_outplace_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9199118Z   test_dispatch_meta_outplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9199273Z   test_dispatch_meta_outplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... ok (1.503s)
2022-11-23T01:45:55.9199435Z   test_dispatch_meta_outplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9199591Z   test_dispatch_meta_outplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9199744Z   test_dispatch_meta_outplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9199900Z   test_dispatch_meta_outplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9200056Z   test_dispatch_meta_outplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.643s)
2022-11-23T01:45:55.9200205Z   test_dispatch_meta_outplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.638s)
2022-11-23T01:45:55.9200343Z   test_dispatch_meta_outplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9200493Z   test_dispatch_meta_outplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.646s)
2022-11-23T01:45:55.9200639Z   test_dispatch_meta_outplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.648s)
2022-11-23T01:45:55.9200797Z   test_dispatch_meta_outplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9200949Z   test_dispatch_meta_outplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201108Z   test_dispatch_meta_outplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201264Z   test_dispatch_meta_outplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201420Z   test_dispatch_meta_outplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201573Z   test_dispatch_meta_outplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201720Z   test_dispatch_meta_outplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9201876Z   test_dispatch_meta_outplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9202025Z   test_dispatch_meta_outplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9202172Z   test_dispatch_meta_outplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9202322Z   test_dispatch_meta_outplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9202471Z   test_dispatch_meta_outplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9202625Z   test_dispatch_meta_outplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9202805Z   test_dispatch_meta_outplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9202948Z   test_dispatch_meta_outplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9203092Z   test_dispatch_meta_outplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9203280Z   test_dispatch_meta_outplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.774s)
2022-11-23T01:45:55.9203442Z   test_dispatch_meta_outplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.770s)
2022-11-23T01:45:55.9203600Z   test_dispatch_meta_outplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9203755Z   test_dispatch_meta_outplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9203914Z   test_dispatch_meta_outplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204076Z   test_dispatch_meta_outplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204222Z   test_dispatch_meta_outplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204379Z   test_dispatch_meta_outplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204534Z   test_dispatch_meta_outplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204689Z   test_dispatch_meta_outplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204842Z   test_dispatch_meta_outplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9204996Z   test_dispatch_meta_outplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9205159Z   test_dispatch_meta_outplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9205323Z   test_dispatch_meta_outplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9205488Z   test_dispatch_meta_outplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9205644Z   test_dispatch_meta_outplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9205804Z   test_dispatch_meta_outplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9205966Z   test_dispatch_meta_outplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206123Z   test_dispatch_meta_outplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206280Z   test_dispatch_meta_outplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206436Z   test_dispatch_meta_outplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206591Z   test_dispatch_meta_outplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206746Z   test_dispatch_meta_outplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9206891Z   test_dispatch_meta_outplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9207044Z   test_dispatch_meta_outplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9207200Z   test_dispatch_meta_outplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9207356Z   test_dispatch_meta_outplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9207507Z   test_dispatch_meta_outplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9207673Z   test_dispatch_meta_outplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9207836Z   test_dispatch_meta_outplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9208002Z   test_dispatch_meta_outplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9208190Z   test_dispatch_meta_outplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9208344Z   test_dispatch_meta_outplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9208506Z   test_dispatch_meta_outplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9208686Z   test_dispatch_meta_outplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9208845Z   test_dispatch_meta_outplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9209001Z   test_dispatch_meta_outplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9209158Z   test_dispatch_meta_outplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9209317Z   test_dispatch_meta_outplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9209478Z   test_dispatch_meta_outplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9209634Z   test_dispatch_meta_outplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9209780Z   test_dispatch_meta_outplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9209941Z   test_dispatch_meta_outplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9210093Z   test_dispatch_meta_outplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9210255Z   test_dispatch_meta_outplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9210421Z   test_dispatch_meta_outplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9210585Z   test_dispatch_meta_outplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9210747Z   test_dispatch_meta_outplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9210906Z   test_dispatch_meta_outplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9211057Z   test_dispatch_meta_outplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9211217Z   test_dispatch_meta_outplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9211375Z   test_dispatch_meta_outplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9211530Z   test_dispatch_meta_outplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9211690Z   test_dispatch_meta_outplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9211847Z   test_dispatch_meta_outplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212003Z   test_dispatch_meta_outplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212158Z   test_dispatch_meta_outplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212312Z   test_dispatch_meta_outplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212458Z   test_dispatch_meta_outplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212614Z   test_dispatch_meta_outplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212768Z   test_dispatch_meta_outplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9212920Z   test_dispatch_meta_outplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9213072Z   test_dispatch_meta_outplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9213226Z   test_dispatch_meta_outplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9213380Z   test_dispatch_meta_outplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9213557Z   test_dispatch_meta_outplace_real_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9213708Z   test_dispatch_meta_outplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9213866Z   test_dispatch_meta_outplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9214042Z   test_dispatch_meta_outplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9214199Z   test_dispatch_meta_outplace_real_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9214355Z   test_dispatch_meta_outplace_real_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9214510Z   test_dispatch_meta_outplace_real_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9214663Z   test_dispatch_meta_outplace_real_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9214809Z   test_dispatch_meta_outplace_real_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9214951Z   test_dispatch_meta_outplace_real_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9215101Z   test_dispatch_meta_outplace_real_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9215246Z   test_dispatch_meta_outplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9215417Z   test_dispatch_meta_outplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9215578Z   test_dispatch_meta_outplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9215746Z   test_dispatch_meta_outplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9215914Z   test_dispatch_meta_outplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216076Z   test_dispatch_meta_outplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216240Z   test_dispatch_meta_outplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216390Z   test_dispatch_meta_outplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216554Z   test_dispatch_meta_outplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216715Z   test_dispatch_meta_outplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9216871Z   test_dispatch_meta_outplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9217028Z   test_dispatch_meta_outplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9217182Z   test_dispatch_meta_outplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9217341Z   test_dispatch_meta_outplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9217501Z   test_dispatch_meta_outplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9217655Z   test_dispatch_meta_outplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9217812Z   test_dispatch_meta_outplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9217967Z   test_dispatch_meta_outplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9218126Z   test_dispatch_meta_outplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9218281Z   test_dispatch_meta_outplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9218438Z   test_dispatch_meta_outplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9218596Z   test_dispatch_meta_outplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9218754Z   test_dispatch_meta_outplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9219078Z   test_dispatch_meta_outplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9219232Z   test_dispatch_meta_outplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9219386Z   test_dispatch_meta_outplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9219572Z   test_dispatch_meta_outplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9219726Z   test_dispatch_meta_outplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9219882Z   test_dispatch_meta_outplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9220040Z   test_dispatch_meta_outplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9220200Z   test_dispatch_meta_outplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9220359Z   test_dispatch_meta_outplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9220508Z   test_dispatch_meta_outplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9220663Z   test_dispatch_meta_outplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9220817Z   test_dispatch_meta_outplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9220974Z   test_dispatch_meta_outplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9221129Z   test_dispatch_meta_outplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9221288Z   test_dispatch_meta_outplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9221441Z   test_dispatch_meta_outplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9221593Z   test_dispatch_meta_outplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9221770Z   test_dispatch_meta_outplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9221931Z   test_dispatch_meta_outplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222108Z   test_dispatch_meta_outplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222284Z   test_dispatch_meta_outplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222459Z   test_dispatch_meta_outplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222632Z   test_dispatch_meta_outplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222801Z   test_dispatch_meta_outplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9222965Z   test_dispatch_meta_outplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223137Z   test_dispatch_meta_outplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223300Z   test_dispatch_meta_outplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223453Z   test_dispatch_meta_outplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223621Z   test_dispatch_meta_outplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223788Z   test_dispatch_meta_outplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9223954Z   test_dispatch_meta_outplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224112Z   test_dispatch_meta_outplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224278Z   test_dispatch_meta_outplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224467Z   test_dispatch_meta_outplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224635Z   test_dispatch_meta_outplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224789Z   test_dispatch_meta_outplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9224973Z   test_dispatch_meta_outplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225132Z   test_dispatch_meta_outplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225291Z   test_dispatch_meta_outplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225448Z   test_dispatch_meta_outplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225604Z   test_dispatch_meta_outplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225761Z   test_dispatch_meta_outplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9225917Z   test_dispatch_meta_outplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9226072Z   test_dispatch_meta_outplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9226219Z   test_dispatch_meta_outplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9226387Z   test_dispatch_meta_outplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9226548Z   test_dispatch_meta_outplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9226710Z   test_dispatch_meta_outplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9226868Z   test_dispatch_meta_outplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227026Z   test_dispatch_meta_outplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227182Z   test_dispatch_meta_outplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227340Z   test_dispatch_meta_outplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227489Z   test_dispatch_meta_outplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227649Z   test_dispatch_meta_outplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227802Z   test_dispatch_meta_outplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9227954Z   test_dispatch_meta_outplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9228110Z   test_dispatch_meta_outplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9228261Z   test_dispatch_meta_outplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9228422Z   test_dispatch_meta_outplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9228583Z   test_dispatch_meta_outplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9228739Z   test_dispatch_meta_outplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9228886Z   test_dispatch_meta_outplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229039Z   test_dispatch_meta_outplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229191Z   test_dispatch_meta_outplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229344Z   test_dispatch_meta_outplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229496Z   test_dispatch_meta_outplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229649Z   test_dispatch_meta_outplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229828Z   test_dispatch_meta_outplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9229993Z   test_dispatch_meta_outplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9230140Z   test_dispatch_meta_outplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9230406Z   test_dispatch_meta_outplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9230570Z   test_dispatch_meta_outplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9230730Z   test_dispatch_meta_outplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9230887Z   test_dispatch_meta_outplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231041Z   test_dispatch_meta_outplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231198Z   test_dispatch_meta_outplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231358Z   test_dispatch_meta_outplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231512Z   test_dispatch_meta_outplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231657Z   test_dispatch_meta_outplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231812Z   test_dispatch_meta_outplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9231979Z   test_dispatch_meta_outplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232143Z   test_dispatch_meta_outplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232313Z   test_dispatch_meta_outplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232477Z   test_dispatch_meta_outplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232643Z   test_dispatch_meta_outplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232806Z   test_dispatch_meta_outplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9232969Z   test_dispatch_meta_outplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233124Z   test_dispatch_meta_outplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233285Z   test_dispatch_meta_outplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233439Z   test_dispatch_meta_outplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233598Z   test_dispatch_meta_outplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233750Z   test_dispatch_meta_outplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9233913Z   test_dispatch_meta_outplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234072Z   test_dispatch_meta_outplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234240Z   test_dispatch_meta_outplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234400Z   test_dispatch_meta_outplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234567Z   test_dispatch_meta_outplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234729Z   test_dispatch_meta_outplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9234890Z   test_dispatch_meta_outplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235051Z   test_dispatch_meta_outplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235235Z   test_dispatch_meta_outplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235393Z   test_dispatch_meta_outplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235546Z   test_dispatch_meta_outplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235723Z   test_dispatch_meta_outplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9235869Z   test_dispatch_meta_outplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9236024Z   test_dispatch_meta_outplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236178Z   test_dispatch_meta_outplace_roll_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236335Z   test_dispatch_meta_outplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236491Z   test_dispatch_meta_outplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236649Z   test_dispatch_meta_outplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236804Z   test_dispatch_meta_outplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9236959Z   test_dispatch_meta_outplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9237107Z   test_dispatch_meta_outplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9237260Z   test_dispatch_meta_outplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9237408Z   test_dispatch_meta_outplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9237553Z   test_dispatch_meta_outplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9237705Z   test_dispatch_meta_outplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9237851Z   test_dispatch_meta_outplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9238006Z   test_dispatch_meta_outplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9238160Z   test_dispatch_meta_outplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9238318Z   test_dispatch_meta_outplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9238470Z   test_dispatch_meta_outplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9238625Z   test_dispatch_meta_outplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9238778Z   test_dispatch_meta_outplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9238930Z   test_dispatch_meta_outplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239080Z   test_dispatch_meta_outplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239233Z   test_dispatch_meta_outplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239385Z   test_dispatch_meta_outplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239535Z   test_dispatch_meta_outplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239679Z   test_dispatch_meta_outplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9239834Z   test_dispatch_meta_outplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9239991Z   test_dispatch_meta_outplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240144Z   test_dispatch_meta_outplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240297Z   test_dispatch_meta_outplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240449Z   test_dispatch_meta_outplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240664Z   test_dispatch_meta_outplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240816Z   test_dispatch_meta_outplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9240959Z   test_dispatch_meta_outplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9241132Z   test_dispatch_meta_outplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9241304Z   test_dispatch_meta_outplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9241472Z   test_dispatch_meta_outplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9241635Z   test_dispatch_meta_outplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9241793Z   test_dispatch_meta_outplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9241958Z   test_dispatch_meta_outplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9242121Z   test_dispatch_meta_outplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9242279Z   test_dispatch_meta_outplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9242432Z   test_dispatch_meta_outplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9242605Z   test_dispatch_meta_outplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9242779Z   test_dispatch_meta_outplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9242951Z   test_dispatch_meta_outplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243118Z   test_dispatch_meta_outplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243277Z   test_dispatch_meta_outplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243456Z   test_dispatch_meta_outplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243642Z   test_dispatch_meta_outplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243799Z   test_dispatch_meta_outplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9243954Z   test_dispatch_meta_outplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244108Z   test_dispatch_meta_outplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244262Z   test_dispatch_meta_outplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244419Z   test_dispatch_meta_outplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244570Z   test_dispatch_meta_outplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244724Z   test_dispatch_meta_outplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9244875Z   test_dispatch_meta_outplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9245025Z   test_dispatch_meta_outplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9245170Z   test_dispatch_meta_outplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9245325Z   test_dispatch_meta_outplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9245481Z   test_dispatch_meta_outplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9245638Z   test_dispatch_meta_outplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9245792Z   test_dispatch_meta_outplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9245943Z   test_dispatch_meta_outplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246123Z   test_dispatch_meta_outplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246273Z   test_dispatch_meta_outplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246419Z   test_dispatch_meta_outplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246578Z   test_dispatch_meta_outplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246729Z   test_dispatch_meta_outplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9246874Z   test_dispatch_meta_outplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9247040Z   test_dispatch_meta_outplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9247202Z   test_dispatch_meta_outplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9247374Z   test_dispatch_meta_outplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9247548Z   test_dispatch_meta_outplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9247710Z   test_dispatch_meta_outplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9247870Z   test_dispatch_meta_outplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248034Z   test_dispatch_meta_outplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248199Z   test_dispatch_meta_outplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248363Z   test_dispatch_meta_outplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248522Z   test_dispatch_meta_outplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248683Z   test_dispatch_meta_outplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9248847Z   test_dispatch_meta_outplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9249004Z   test_dispatch_meta_outplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9249171Z   test_dispatch_meta_outplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9249327Z   test_dispatch_meta_outplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9249494Z   test_dispatch_meta_outplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9249658Z   test_dispatch_meta_outplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9249819Z   test_dispatch_meta_outplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9249981Z   test_dispatch_meta_outplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250139Z   test_dispatch_meta_outplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250300Z   test_dispatch_meta_outplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250463Z   test_dispatch_meta_outplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250614Z   test_dispatch_meta_outplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250771Z   test_dispatch_meta_outplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9250925Z   test_dispatch_meta_outplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9251081Z   test_dispatch_meta_outplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9251237Z   test_dispatch_meta_outplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9251423Z   test_dispatch_meta_outplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9251585Z   test_dispatch_meta_outplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9251743Z   test_dispatch_meta_outplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9251921Z   test_dispatch_meta_outplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9252067Z   test_dispatch_meta_outplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9252222Z   test_dispatch_meta_outplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9252377Z   test_dispatch_meta_outplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9252533Z   test_dispatch_meta_outplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9252687Z   test_dispatch_meta_outplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9252840Z   test_dispatch_meta_outplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9253015Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9253187Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9253363Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9253528Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9253699Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9253867Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254030Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254200Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254363Z   test_dispatch_meta_outplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254532Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254703Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9254862Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255030Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255192Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255353Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255515Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255681Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9255846Z   test_dispatch_meta_outplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9256014Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9256180Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9256340Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9256503Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9256696Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9256866Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9257029Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9257215Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9257378Z   test_dispatch_meta_outplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9257551Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9257721Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9257879Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258048Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258211Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258372Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258533Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258697Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9258964Z   test_dispatch_meta_outplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259134Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259304Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259470Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259635Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259803Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9259972Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9260133Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9260294Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9260456Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9260615Z   test_dispatch_meta_outplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9260781Z   test_dispatch_meta_outplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.355s)
2022-11-23T01:45:55.9260940Z   test_dispatch_meta_outplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.356s)
2022-11-23T01:45:55.9261105Z   test_dispatch_meta_outplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.357s)
2022-11-23T01:45:55.9261271Z   test_dispatch_meta_outplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... ok (2.357s)
2022-11-23T01:45:55.9261433Z   test_dispatch_meta_outplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... ok (2.351s)
2022-11-23T01:45:55.9261589Z   test_dispatch_meta_outplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... ok (2.355s)
2022-11-23T01:45:55.9261749Z   test_dispatch_meta_outplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... ok (2.361s)
2022-11-23T01:45:55.9261906Z   test_dispatch_meta_outplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... ok (2.364s)
2022-11-23T01:45:55.9262131Z   test_dispatch_meta_outplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.518s)
2022-11-23T01:45:55.9262309Z   test_dispatch_meta_outplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.517s)
2022-11-23T01:45:55.9262478Z   test_dispatch_meta_outplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.518s)
2022-11-23T01:45:55.9262681Z   test_dispatch_meta_outplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.518s)
2022-11-23T01:45:55.9262860Z   test_dispatch_meta_outplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.517s)
2022-11-23T01:45:55.9263032Z   test_dispatch_meta_outplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.518s)
2022-11-23T01:45:55.9263204Z   test_dispatch_meta_outplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.516s)
2022-11-23T01:45:55.9263377Z   test_dispatch_meta_outplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.516s)
2022-11-23T01:45:55.9263538Z   test_dispatch_meta_outplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9263692Z   test_dispatch_meta_outplace_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9263846Z   test_dispatch_meta_outplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264007Z   test_dispatch_meta_outplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264166Z   test_dispatch_meta_outplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264321Z   test_dispatch_meta_outplace_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264477Z   test_dispatch_meta_outplace_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264632Z   test_dispatch_meta_outplace_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264789Z   test_dispatch_meta_outplace_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9264943Z   test_dispatch_meta_outplace_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9265095Z   test_dispatch_meta_outplace_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9265245Z   test_dispatch_meta_outplace_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9265403Z   test_dispatch_meta_outplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9265574Z   test_dispatch_meta_outplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9265737Z   test_dispatch_meta_outplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9265902Z   test_dispatch_meta_outplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266067Z   test_dispatch_meta_outplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266235Z   test_dispatch_meta_outplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266397Z   test_dispatch_meta_outplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266559Z   test_dispatch_meta_outplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266716Z   test_dispatch_meta_outplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9266882Z   test_dispatch_meta_outplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9267044Z   test_dispatch_meta_outplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9267197Z   test_dispatch_meta_outplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9267348Z   test_dispatch_meta_outplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9267528Z   test_dispatch_meta_outplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9267688Z   test_dispatch_meta_outplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9267847Z   test_dispatch_meta_outplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9268026Z   test_dispatch_meta_outplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9268178Z   test_dispatch_meta_outplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9268332Z   test_dispatch_meta_outplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9268483Z   test_dispatch_meta_outplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9268629Z   test_dispatch_meta_outplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9268773Z   test_dispatch_meta_outplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9268923Z   test_dispatch_meta_outplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269069Z   test_dispatch_meta_outplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269217Z   test_dispatch_meta_outplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269373Z   test_dispatch_meta_outplace_short_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269532Z   test_dispatch_meta_outplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269691Z   test_dispatch_meta_outplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9269846Z   test_dispatch_meta_outplace_short_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270000Z   test_dispatch_meta_outplace_short_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270153Z   test_dispatch_meta_outplace_short_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270371Z   test_dispatch_meta_outplace_short_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270542Z   test_dispatch_meta_outplace_short_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270705Z   test_dispatch_meta_outplace_short_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9270867Z   test_dispatch_meta_outplace_short_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9271023Z   test_dispatch_meta_outplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9271182Z   test_dispatch_meta_outplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9271337Z   test_dispatch_meta_outplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9271500Z   test_dispatch_meta_outplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9271666Z   test_dispatch_meta_outplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9271830Z   test_dispatch_meta_outplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9271981Z   test_dispatch_meta_outplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272139Z   test_dispatch_meta_outplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272291Z   test_dispatch_meta_outplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272445Z   test_dispatch_meta_outplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272603Z   test_dispatch_meta_outplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272757Z   test_dispatch_meta_outplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9272908Z   test_dispatch_meta_outplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9273116Z   test_dispatch_meta_outplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9273294Z   test_dispatch_meta_outplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9273440Z   test_dispatch_meta_outplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9273614Z   test_dispatch_meta_outplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9273762Z   test_dispatch_meta_outplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9273919Z   test_dispatch_meta_outplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274072Z   test_dispatch_meta_outplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274218Z   test_dispatch_meta_outplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274366Z   test_dispatch_meta_outplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274522Z   test_dispatch_meta_outplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274666Z   test_dispatch_meta_outplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9274841Z   test_dispatch_meta_outplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9275019Z   test_dispatch_meta_outplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9275194Z   test_dispatch_meta_outplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9275368Z   test_dispatch_meta_outplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9275551Z   test_dispatch_meta_outplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9275732Z   test_dispatch_meta_outplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9275916Z   test_dispatch_meta_outplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9276091Z   test_dispatch_meta_outplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9276264Z   test_dispatch_meta_outplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9276440Z   test_dispatch_meta_outplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9276616Z   test_dispatch_meta_outplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9276786Z   test_dispatch_meta_outplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9276961Z   test_dispatch_meta_outplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9277133Z   test_dispatch_meta_outplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9277306Z   test_dispatch_meta_outplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9277480Z   test_dispatch_meta_outplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9277643Z   test_dispatch_meta_outplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9277791Z   test_dispatch_meta_outplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9277948Z   test_dispatch_meta_outplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9278104Z   test_dispatch_meta_outplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9278256Z   test_dispatch_meta_outplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9278434Z   test_dispatch_meta_outplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9278591Z   test_dispatch_meta_outplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9278746Z   test_dispatch_meta_outplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9278921Z   test_dispatch_meta_outplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279065Z   test_dispatch_meta_outplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279220Z   test_dispatch_meta_outplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9279371Z   test_dispatch_meta_outplace_sin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279531Z   test_dispatch_meta_outplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279685Z   test_dispatch_meta_outplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279838Z   test_dispatch_meta_outplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9279993Z   test_dispatch_meta_outplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280144Z   test_dispatch_meta_outplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280299Z   test_dispatch_meta_outplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280443Z   test_dispatch_meta_outplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280590Z   test_dispatch_meta_outplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280733Z   test_dispatch_meta_outplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9280883Z   test_dispatch_meta_outplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9281028Z   test_dispatch_meta_outplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9281181Z   test_dispatch_meta_outplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9281333Z   test_dispatch_meta_outplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.277s)
2022-11-23T01:45:55.9281492Z   test_dispatch_meta_outplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9281645Z   test_dispatch_meta_outplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9281797Z   test_dispatch_meta_outplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9281949Z   test_dispatch_meta_outplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282103Z   test_dispatch_meta_outplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9282255Z   test_dispatch_meta_outplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282402Z   test_dispatch_meta_outplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282550Z   test_dispatch_meta_outplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282700Z   test_dispatch_meta_outplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282838Z   test_dispatch_meta_outplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9282996Z   test_dispatch_meta_outplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9283143Z   test_dispatch_meta_outplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9283301Z   test_dispatch_meta_outplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9283456Z   test_dispatch_meta_outplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9283611Z   test_dispatch_meta_outplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9283762Z   test_dispatch_meta_outplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9283939Z   test_dispatch_meta_outplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284091Z   test_dispatch_meta_outplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284232Z   test_dispatch_meta_outplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284402Z   test_dispatch_meta_outplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284546Z   test_dispatch_meta_outplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284698Z   test_dispatch_meta_outplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284843Z   test_dispatch_meta_outplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9284996Z   test_dispatch_meta_outplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285151Z   test_dispatch_meta_outplace_slice_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285310Z   test_dispatch_meta_outplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285459Z   test_dispatch_meta_outplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285620Z   test_dispatch_meta_outplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285776Z   test_dispatch_meta_outplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9285930Z   test_dispatch_meta_outplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286081Z   test_dispatch_meta_outplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286233Z   test_dispatch_meta_outplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286385Z   test_dispatch_meta_outplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286539Z   test_dispatch_meta_outplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286688Z   test_dispatch_meta_outplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9286833Z   test_dispatch_meta_outplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9287007Z   test_dispatch_meta_outplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287171Z   test_dispatch_meta_outplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287336Z   test_dispatch_meta_outplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287501Z   test_dispatch_meta_outplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287665Z   test_dispatch_meta_outplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287832Z   test_dispatch_meta_outplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9287993Z   test_dispatch_meta_outplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9288147Z   test_dispatch_meta_outplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9288309Z   test_dispatch_meta_outplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9288467Z   test_dispatch_meta_outplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9288624Z   test_dispatch_meta_outplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9288780Z   test_dispatch_meta_outplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9288934Z   test_dispatch_meta_outplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9289086Z   test_dispatch_meta_outplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9289279Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9289451Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9289619Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9289817Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9289989Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9290154Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9290319Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9290491Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9290658Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9290825Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9290990Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9291146Z   test_dispatch_meta_outplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9291302Z   test_dispatch_meta_outplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9291459Z   test_dispatch_meta_outplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9291613Z   test_dispatch_meta_outplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9291766Z   test_dispatch_meta_outplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9291919Z   test_dispatch_meta_outplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9292068Z   test_dispatch_meta_outplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9292214Z   test_dispatch_meta_outplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9292359Z   test_dispatch_meta_outplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9292509Z   test_dispatch_meta_outplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9292689Z   test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9292867Z   test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9293042Z   test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9293219Z   test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9293387Z   test_dispatch_meta_outplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... ok (0.425s)
2022-11-23T01:45:55.9293554Z   test_dispatch_meta_outplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.527s)
2022-11-23T01:45:55.9293718Z   test_dispatch_meta_outplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.549s)
2022-11-23T01:45:55.9293875Z   test_dispatch_meta_outplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9294040Z   test_dispatch_meta_outplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9294202Z   test_dispatch_meta_outplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9294361Z   test_dispatch_meta_outplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9294545Z   test_dispatch_meta_outplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9294712Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.359s)
2022-11-23T01:45:55.9294886Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.400s)
2022-11-23T01:45:55.9295074Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.365s)
2022-11-23T01:45:55.9295238Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9295391Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9295549Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9295713Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9295884Z   test_dispatch_meta_outplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9296047Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.271s)
2022-11-23T01:45:55.9296216Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.193s)
2022-11-23T01:45:55.9296384Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.202s)
2022-11-23T01:45:55.9296550Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9296710Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9296861Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9297022Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9297190Z   test_dispatch_meta_outplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9297351Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.501s)
2022-11-23T01:45:55.9297519Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.677s)
2022-11-23T01:45:55.9297685Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.618s)
2022-11-23T01:45:55.9297849Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9298008Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9298157Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9298318Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9298481Z   test_dispatch_meta_outplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9298645Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.415s)
2022-11-23T01:45:55.9298921Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.466s)
2022-11-23T01:45:55.9299089Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.454s)
2022-11-23T01:45:55.9299253Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9299413Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9299569Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9299721Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9299925Z   test_dispatch_meta_outplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9300112Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... ok (3.824s)
2022-11-23T01:45:55.9300298Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.551s)
2022-11-23T01:45:55.9300512Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.627s)
2022-11-23T01:45:55.9300695Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9300879Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9301060Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9301241Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9301416Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9301597Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... ok (4.305s)
2022-11-23T01:45:55.9301783Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.044s)
2022-11-23T01:45:55.9301965Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.964s)
2022-11-23T01:45:55.9302140Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9302318Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9302496Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9302678Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9302853Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9303340Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9303697Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9304053Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9304407Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9304753Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9305094Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9305442Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9305779Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9306146Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9306498Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9306853Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9307230Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9307571Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9307914Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9308249Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9308586Z   test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9308757Z   test_dispatch_meta_outplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.168s)
2022-11-23T01:45:55.9308920Z   test_dispatch_meta_outplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.228s)
2022-11-23T01:45:55.9309085Z   test_dispatch_meta_outplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.168s)
2022-11-23T01:45:55.9309248Z   test_dispatch_meta_outplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.166s)
2022-11-23T01:45:55.9309414Z   test_dispatch_meta_outplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.190s)
2022-11-23T01:45:55.9309576Z   test_dispatch_meta_outplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9309738Z   test_dispatch_meta_outplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9309890Z   test_dispatch_meta_outplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9310052Z   test_dispatch_meta_outplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9310206Z   test_dispatch_meta_outplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9310442Z   test_dispatch_meta_outplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... ok (1.018s)
2022-11-23T01:45:55.9310633Z   test_dispatch_meta_outplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.918s)
2022-11-23T01:45:55.9310814Z   test_dispatch_meta_outplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.748s)
2022-11-23T01:45:55.9310983Z   test_dispatch_meta_outplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9311146Z   test_dispatch_meta_outplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9311308Z   test_dispatch_meta_outplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9311464Z   test_dispatch_meta_outplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9311623Z   test_dispatch_meta_outplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9311806Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... ok (3.716s)
2022-11-23T01:45:55.9311990Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.350s)
2022-11-23T01:45:55.9312172Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.366s)
2022-11-23T01:45:55.9312383Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9312564Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9312761Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9312941Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9313105Z   test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9313284Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... ok (3.621s)
2022-11-23T01:45:55.9313467Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.354s)
2022-11-23T01:45:55.9313653Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.322s)
2022-11-23T01:45:55.9313832Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9314011Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9314193Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9314371Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9314546Z   test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9314701Z   test_dispatch_meta_outplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:55.9314865Z   test_dispatch_meta_outplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.262s)
2022-11-23T01:45:55.9315027Z   test_dispatch_meta_outplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.222s)
2022-11-23T01:45:55.9315187Z   test_dispatch_meta_outplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.219s)
2022-11-23T01:45:55.9315349Z   test_dispatch_meta_outplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9315508Z   test_dispatch_meta_outplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9315668Z   test_dispatch_meta_outplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9315823Z   test_dispatch_meta_outplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9315980Z   test_dispatch_meta_outplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9316126Z   test_dispatch_meta_outplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9316287Z   test_dispatch_meta_outplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.270s)
2022-11-23T01:45:55.9316447Z   test_dispatch_meta_outplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.230s)
2022-11-23T01:45:55.9316605Z   test_dispatch_meta_outplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.263s)
2022-11-23T01:45:55.9316767Z   test_dispatch_meta_outplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9316923Z   test_dispatch_meta_outplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9317077Z   test_dispatch_meta_outplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9317234Z   test_dispatch_meta_outplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9317379Z   test_dispatch_meta_outplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9317558Z   test_dispatch_meta_outplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.250s)
2022-11-23T01:45:55.9317721Z   test_dispatch_meta_outplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.222s)
2022-11-23T01:45:55.9317880Z   test_dispatch_meta_outplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.235s)
2022-11-23T01:45:55.9318061Z   test_dispatch_meta_outplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9318221Z   test_dispatch_meta_outplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9318375Z   test_dispatch_meta_outplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9318529Z   test_dispatch_meta_outplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9318684Z   test_dispatch_meta_outplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9318861Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... ok (3.708s)
2022-11-23T01:45:55.9319046Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.429s)
2022-11-23T01:45:55.9319232Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.443s)
2022-11-23T01:45:55.9319416Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9319595Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9319774Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9319951Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9320127Z   test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9320485Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9320843Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9321194Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9321539Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9321886Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9322230Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9322573Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9322916Z   test_dispatch_meta_outplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9323082Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.272s)
2022-11-23T01:45:55.9323252Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.267s)
2022-11-23T01:45:55.9323415Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.392s)
2022-11-23T01:45:55.9323603Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9323763Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9323928Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9324112Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9324273Z   test_dispatch_meta_outplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9324453Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.270s)
2022-11-23T01:45:55.9324634Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.229s)
2022-11-23T01:45:55.9324811Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.282s)
2022-11-23T01:45:55.9324993Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9325171Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9325335Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9325511Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9325679Z   test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9325849Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.298s)
2022-11-23T01:45:55.9326024Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:55.9326201Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.281s)
2022-11-23T01:45:55.9326369Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9326541Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9326710Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9326882Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9327042Z   test_dispatch_meta_outplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9327212Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.333s)
2022-11-23T01:45:55.9327385Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.342s)
2022-11-23T01:45:55.9327561Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.422s)
2022-11-23T01:45:55.9327729Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9327899Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9328070Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9328237Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9328406Z   test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9328567Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.324s)
2022-11-23T01:45:55.9328765Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.320s)
2022-11-23T01:45:55.9328941Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.435s)
2022-11-23T01:45:55.9329108Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9329302Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9329468Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9329636Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9329803Z   test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9329969Z   test_dispatch_meta_outplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9330125Z   test_dispatch_meta_outplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9330289Z   test_dispatch_meta_outplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9330452Z   test_dispatch_meta_outplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9330618Z   test_dispatch_meta_outplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9330782Z   test_dispatch_meta_outplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9330942Z   test_dispatch_meta_outplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9331100Z   test_dispatch_meta_outplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9331258Z   test_dispatch_meta_outplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9331407Z   test_dispatch_meta_outplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9331565Z   test_dispatch_meta_outplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... ok (0.288s)
2022-11-23T01:45:55.9331732Z   test_dispatch_meta_outplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.267s)
2022-11-23T01:45:55.9331900Z   test_dispatch_meta_outplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.333s)
2022-11-23T01:45:55.9332062Z   test_dispatch_meta_outplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9332225Z   test_dispatch_meta_outplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9332386Z   test_dispatch_meta_outplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9332549Z   test_dispatch_meta_outplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9332710Z   test_dispatch_meta_outplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9332899Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9333095Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9333295Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9333484Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9333676Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9333866Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9334082Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9334275Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9334464Z   test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9334671Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.316s)
2022-11-23T01:45:55.9334850Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.312s)
2022-11-23T01:45:55.9335035Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.423s)
2022-11-23T01:45:55.9335220Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9335402Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9335576Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9335754Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9335940Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9336123Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.321s)
2022-11-23T01:45:55.9336308Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.346s)
2022-11-23T01:45:55.9336481Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.437s)
2022-11-23T01:45:55.9336666Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9336844Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9337021Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9337202Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9337386Z   test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9337759Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9338126Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9338495Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9338976Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9339335Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9339676Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9340076Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9340427Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9340779Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9341172Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9341537Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9341900Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9342255Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9342604Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9342957Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9343305Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9343659Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9344016Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9344379Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9344721Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9345069Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9345417Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9345770Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9346117Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9346475Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9346831Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9347215Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9347575Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9347968Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9348315Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9348671Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9349021Z   test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9349202Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.276s)
2022-11-23T01:45:55.9349380Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.243s)
2022-11-23T01:45:55.9349564Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:55.9349742Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9349921Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9350094Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9350330Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9350526Z   test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9350725Z   test_dispatch_meta_outplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9350905Z   test_dispatch_meta_outplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9351067Z   test_dispatch_meta_outplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9351231Z   test_dispatch_meta_outplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9351392Z   test_dispatch_meta_outplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9351560Z   test_dispatch_meta_outplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9351729Z   test_dispatch_meta_outplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9351892Z   test_dispatch_meta_outplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9352058Z   test_dispatch_meta_outplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9352221Z   test_dispatch_meta_outplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9352375Z   test_dispatch_meta_outplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... ok (4.371s)
2022-11-23T01:45:55.9352535Z   test_dispatch_meta_outplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.193s)
2022-11-23T01:45:55.9352699Z   test_dispatch_meta_outplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.388s)
2022-11-23T01:45:55.9352861Z   test_dispatch_meta_outplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9353051Z   test_dispatch_meta_outplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9353207Z   test_dispatch_meta_outplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9353368Z   test_dispatch_meta_outplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9353550Z   test_dispatch_meta_outplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9353708Z   test_dispatch_meta_outplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9353856Z   test_dispatch_meta_outplace_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354018Z   test_dispatch_meta_outplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354178Z   test_dispatch_meta_outplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354342Z   test_dispatch_meta_outplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354498Z   test_dispatch_meta_outplace_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354653Z   test_dispatch_meta_outplace_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354811Z   test_dispatch_meta_outplace_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9354965Z   test_dispatch_meta_outplace_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9355112Z   test_dispatch_meta_outplace_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9355264Z   test_dispatch_meta_outplace_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9355419Z   test_dispatch_meta_outplace_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9355573Z   test_dispatch_meta_outplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9355746Z   test_dispatch_meta_outplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9355909Z   test_dispatch_meta_outplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356082Z   test_dispatch_meta_outplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356260Z   test_dispatch_meta_outplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356427Z   test_dispatch_meta_outplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356581Z   test_dispatch_meta_outplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356740Z   test_dispatch_meta_outplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9356904Z   test_dispatch_meta_outplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357071Z   test_dispatch_meta_outplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357233Z   test_dispatch_meta_outplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357393Z   test_dispatch_meta_outplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357555Z   test_dispatch_meta_outplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357726Z   test_dispatch_meta_outplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9357887Z   test_dispatch_meta_outplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358054Z   test_dispatch_meta_outplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358224Z   test_dispatch_meta_outplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358415Z   test_dispatch_meta_outplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358585Z   test_dispatch_meta_outplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358747Z   test_dispatch_meta_outplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9358930Z   test_dispatch_meta_outplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359093Z   test_dispatch_meta_outplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359258Z   test_dispatch_meta_outplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359414Z   test_dispatch_meta_outplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359575Z   test_dispatch_meta_outplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359739Z   test_dispatch_meta_outplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9359896Z   test_dispatch_meta_outplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9360049Z   test_dispatch_meta_outplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360214Z   test_dispatch_meta_outplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360370Z   test_dispatch_meta_outplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360527Z   test_dispatch_meta_outplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360682Z   test_dispatch_meta_outplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360828Z   test_dispatch_meta_outplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9360986Z   test_dispatch_meta_outplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361141Z   test_dispatch_meta_outplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361287Z   test_dispatch_meta_outplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361432Z   test_dispatch_meta_outplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361585Z   test_dispatch_meta_outplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361729Z   test_dispatch_meta_outplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9361887Z   test_dispatch_meta_outplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9362035Z   test_dispatch_meta_outplace_square_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9362198Z   test_dispatch_meta_outplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9362362Z   test_dispatch_meta_outplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9362519Z   test_dispatch_meta_outplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9362675Z   test_dispatch_meta_outplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9362830Z   test_dispatch_meta_outplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9362983Z   test_dispatch_meta_outplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363137Z   test_dispatch_meta_outplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363293Z   test_dispatch_meta_outplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363440Z   test_dispatch_meta_outplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363590Z   test_dispatch_meta_outplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363776Z   test_dispatch_meta_outplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9363933Z   test_dispatch_meta_outplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364097Z   test_dispatch_meta_outplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364277Z   test_dispatch_meta_outplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364438Z   test_dispatch_meta_outplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364597Z   test_dispatch_meta_outplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364745Z   test_dispatch_meta_outplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9364897Z   test_dispatch_meta_outplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365057Z   test_dispatch_meta_outplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365214Z   test_dispatch_meta_outplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365370Z   test_dispatch_meta_outplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365522Z   test_dispatch_meta_outplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365676Z   test_dispatch_meta_outplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9365832Z   test_dispatch_meta_outplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9365983Z   test_dispatch_meta_outplace_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366135Z   test_dispatch_meta_outplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366291Z   test_dispatch_meta_outplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366449Z   test_dispatch_meta_outplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366601Z   test_dispatch_meta_outplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366754Z   test_dispatch_meta_outplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9366913Z   test_dispatch_meta_outplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9367065Z   test_dispatch_meta_outplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9377559Z   test_dispatch_meta_outplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9377749Z   test_dispatch_meta_outplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9377901Z   test_dispatch_meta_outplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9378059Z   test_dispatch_meta_outplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9378222Z   test_dispatch_meta_outplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9378385Z   test_dispatch_meta_outplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9378544Z   test_dispatch_meta_outplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9378699Z   test_dispatch_meta_outplace_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9379076Z   test_dispatch_meta_outplace_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9379236Z   test_dispatch_meta_outplace_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9379402Z   test_dispatch_meta_outplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9379563Z   test_dispatch_meta_outplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9379813Z   test_dispatch_meta_outplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9379977Z   test_dispatch_meta_outplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9380135Z   test_dispatch_meta_outplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9380293Z   test_dispatch_meta_outplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9380486Z   test_dispatch_meta_outplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9380644Z   test_dispatch_meta_outplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9380801Z   test_dispatch_meta_outplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9380951Z   test_dispatch_meta_outplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9381106Z   test_dispatch_meta_outplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9381266Z   test_dispatch_meta_outplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9381422Z   test_dispatch_meta_outplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9381577Z   test_dispatch_meta_outplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9381737Z   test_dispatch_meta_outplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9381891Z   test_dispatch_meta_outplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382043Z   test_dispatch_meta_outplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382197Z   test_dispatch_meta_outplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382338Z   test_dispatch_meta_outplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382485Z   test_dispatch_meta_outplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382639Z   test_dispatch_meta_outplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382788Z   test_dispatch_meta_outplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9382944Z   test_dispatch_meta_outplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9383103Z   test_dispatch_meta_outplace_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9383260Z   test_dispatch_meta_outplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9383419Z   test_dispatch_meta_outplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... ok (1.769s)
2022-11-23T01:45:55.9383566Z   test_dispatch_meta_outplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9383721Z   test_dispatch_meta_outplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9383871Z   test_dispatch_meta_outplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9384026Z   test_dispatch_meta_outplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9384179Z   test_dispatch_meta_outplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9384327Z   test_dispatch_meta_outplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9384473Z   test_dispatch_meta_outplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9384625Z   test_dispatch_meta_outplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9384762Z   test_dispatch_meta_outplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9384926Z   test_dispatch_meta_outplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385086Z   test_dispatch_meta_outplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385278Z   test_dispatch_meta_outplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385446Z   test_dispatch_meta_outplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385608Z   test_dispatch_meta_outplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385795Z   test_dispatch_meta_outplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9385960Z   test_dispatch_meta_outplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386119Z   test_dispatch_meta_outplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386272Z   test_dispatch_meta_outplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386425Z   test_dispatch_meta_outplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386583Z   test_dispatch_meta_outplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386739Z   test_dispatch_meta_outplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9386895Z   test_dispatch_meta_outplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.396s)
2022-11-23T01:45:55.9387052Z   test_dispatch_meta_outplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:55.9387208Z   test_dispatch_meta_outplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:55.9387363Z   test_dispatch_meta_outplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.193s)
2022-11-23T01:45:55.9387518Z   test_dispatch_meta_outplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.927s)
2022-11-23T01:45:55.9387680Z   test_dispatch_meta_outplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.935s)
2022-11-23T01:45:55.9387839Z   test_dispatch_meta_outplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:55.9388002Z   test_dispatch_meta_outplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:55.9388160Z   test_dispatch_meta_outplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:55.9388319Z   test_dispatch_meta_outplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:55.9388479Z   test_dispatch_meta_outplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9388630Z   test_dispatch_meta_outplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9388785Z   test_dispatch_meta_outplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9388931Z   test_dispatch_meta_outplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389084Z   test_dispatch_meta_outplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389232Z   test_dispatch_meta_outplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389386Z   test_dispatch_meta_outplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389536Z   test_dispatch_meta_outplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389682Z   test_dispatch_meta_outplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389828Z   test_dispatch_meta_outplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9389974Z   test_dispatch_meta_outplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9390118Z   test_dispatch_meta_outplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9390358Z   test_dispatch_meta_outplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9390540Z   test_dispatch_meta_outplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9390734Z   test_dispatch_meta_outplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9390934Z   test_dispatch_meta_outplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9391100Z   test_dispatch_meta_outplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9391268Z   test_dispatch_meta_outplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9391458Z   test_dispatch_meta_outplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9391623Z   test_dispatch_meta_outplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9391780Z   test_dispatch_meta_outplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9391946Z   test_dispatch_meta_outplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9392109Z   test_dispatch_meta_outplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9392272Z   test_dispatch_meta_outplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9392431Z   test_dispatch_meta_outplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9392584Z   test_dispatch_meta_outplace_take_cuda_bool (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9392748Z   test_dispatch_meta_outplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:55.9392906Z   test_dispatch_meta_outplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9393053Z   test_dispatch_meta_outplace_take_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.118s)
2022-11-23T01:45:55.9393209Z   test_dispatch_meta_outplace_take_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.118s)
2022-11-23T01:45:55.9393368Z   test_dispatch_meta_outplace_take_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:55.9393520Z   test_dispatch_meta_outplace_take_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9393675Z   test_dispatch_meta_outplace_take_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:55.9393824Z   test_dispatch_meta_outplace_take_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9393975Z   test_dispatch_meta_outplace_take_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:55.9394130Z   test_dispatch_meta_outplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:55.9394282Z   test_dispatch_meta_outplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9394428Z   test_dispatch_meta_outplace_tan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9394586Z   test_dispatch_meta_outplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9394743Z   test_dispatch_meta_outplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9394903Z   test_dispatch_meta_outplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395057Z   test_dispatch_meta_outplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395211Z   test_dispatch_meta_outplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395367Z   test_dispatch_meta_outplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395522Z   test_dispatch_meta_outplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395664Z   test_dispatch_meta_outplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395810Z   test_dispatch_meta_outplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9395961Z   test_dispatch_meta_outplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9396108Z   test_dispatch_meta_outplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9396289Z   test_dispatch_meta_outplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9396442Z   test_dispatch_meta_outplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9396603Z   test_dispatch_meta_outplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9396781Z   test_dispatch_meta_outplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9396933Z   test_dispatch_meta_outplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397087Z   test_dispatch_meta_outplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397242Z   test_dispatch_meta_outplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397401Z   test_dispatch_meta_outplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397554Z   test_dispatch_meta_outplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397705Z   test_dispatch_meta_outplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9397851Z   test_dispatch_meta_outplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9398001Z   test_dispatch_meta_outplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9398150Z   test_dispatch_meta_outplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9398315Z   test_dispatch_meta_outplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9398476Z   test_dispatch_meta_outplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9398646Z   test_dispatch_meta_outplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9398813Z   test_dispatch_meta_outplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9398980Z   test_dispatch_meta_outplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9399149Z   test_dispatch_meta_outplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9399313Z   test_dispatch_meta_outplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9399476Z   test_dispatch_meta_outplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9399636Z   test_dispatch_meta_outplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9399795Z   test_dispatch_meta_outplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9399956Z   test_dispatch_meta_outplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9400113Z   test_dispatch_meta_outplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9400272Z   test_dispatch_meta_outplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9400440Z   test_dispatch_meta_outplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9400604Z   test_dispatch_meta_outplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9400762Z   test_dispatch_meta_outplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9400926Z   test_dispatch_meta_outplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9401074Z   test_dispatch_meta_outplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:55.9401230Z   test_dispatch_meta_outplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9401383Z   test_dispatch_meta_outplace_tile_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9401542Z   test_dispatch_meta_outplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9401725Z   test_dispatch_meta_outplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9401882Z   test_dispatch_meta_outplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402035Z   test_dispatch_meta_outplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402212Z   test_dispatch_meta_outplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402358Z   test_dispatch_meta_outplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402506Z   test_dispatch_meta_outplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402651Z   test_dispatch_meta_outplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402803Z   test_dispatch_meta_outplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9402948Z   test_dispatch_meta_outplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9403102Z   test_dispatch_meta_outplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9403256Z   test_dispatch_meta_outplace_to_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9403413Z   test_dispatch_meta_outplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9403568Z   test_dispatch_meta_outplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9403714Z   test_dispatch_meta_outplace_to_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9403865Z   test_dispatch_meta_outplace_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404011Z   test_dispatch_meta_outplace_to_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404162Z   test_dispatch_meta_outplace_to_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404309Z   test_dispatch_meta_outplace_to_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404465Z   test_dispatch_meta_outplace_to_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404615Z   test_dispatch_meta_outplace_to_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404761Z   test_dispatch_meta_outplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9404918Z   test_dispatch_meta_outplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9405078Z   test_dispatch_meta_outplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9405244Z   test_dispatch_meta_outplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9405409Z   test_dispatch_meta_outplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9405572Z   test_dispatch_meta_outplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9405733Z   test_dispatch_meta_outplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9405893Z   test_dispatch_meta_outplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406051Z   test_dispatch_meta_outplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406209Z   test_dispatch_meta_outplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406357Z   test_dispatch_meta_outplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406513Z   test_dispatch_meta_outplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406672Z   test_dispatch_meta_outplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9406832Z   test_dispatch_meta_outplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9406988Z   test_dispatch_meta_outplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407168Z   test_dispatch_meta_outplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407325Z   test_dispatch_meta_outplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407474Z   test_dispatch_meta_outplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407637Z   test_dispatch_meta_outplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407783Z   test_dispatch_meta_outplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9407936Z   test_dispatch_meta_outplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9408084Z   test_dispatch_meta_outplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9408240Z   test_dispatch_meta_outplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9408392Z   test_dispatch_meta_outplace_trace_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9408557Z   test_dispatch_meta_outplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9408715Z   test_dispatch_meta_outplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9408866Z   test_dispatch_meta_outplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409023Z   test_dispatch_meta_outplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409180Z   test_dispatch_meta_outplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409335Z   test_dispatch_meta_outplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409491Z   test_dispatch_meta_outplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409645Z   test_dispatch_meta_outplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409803Z   test_dispatch_meta_outplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9409957Z   test_dispatch_meta_outplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9410111Z   test_dispatch_meta_outplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9410267Z   test_dispatch_meta_outplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9410428Z   test_dispatch_meta_outplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9410594Z   test_dispatch_meta_outplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9410762Z   test_dispatch_meta_outplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9410926Z   test_dispatch_meta_outplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411090Z   test_dispatch_meta_outplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411253Z   test_dispatch_meta_outplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411411Z   test_dispatch_meta_outplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411563Z   test_dispatch_meta_outplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411723Z   test_dispatch_meta_outplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9411878Z   test_dispatch_meta_outplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9412035Z   test_dispatch_meta_outplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9412191Z   test_dispatch_meta_outplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9412355Z   test_dispatch_meta_outplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9412523Z   test_dispatch_meta_outplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9412717Z   test_dispatch_meta_outplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9412879Z   test_dispatch_meta_outplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9413031Z   test_dispatch_meta_outplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9413220Z   test_dispatch_meta_outplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9413377Z   test_dispatch_meta_outplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9413533Z   test_dispatch_meta_outplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9413687Z   test_dispatch_meta_outplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9413843Z   test_dispatch_meta_outplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9414004Z   test_dispatch_meta_outplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9414163Z   test_dispatch_meta_outplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9414316Z   test_dispatch_meta_outplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9414472Z   test_dispatch_meta_outplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9414630Z   test_dispatch_meta_outplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9414786Z   test_dispatch_meta_outplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9414943Z   test_dispatch_meta_outplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9415096Z   test_dispatch_meta_outplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9415249Z   test_dispatch_meta_outplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9415404Z   test_dispatch_meta_outplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9415559Z   test_dispatch_meta_outplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9415706Z   test_dispatch_meta_outplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:55.9415886Z   test_dispatch_meta_outplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9416062Z   test_dispatch_meta_outplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9416234Z   test_dispatch_meta_outplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9416399Z   test_dispatch_meta_outplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9416556Z   test_dispatch_meta_outplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9416717Z   test_dispatch_meta_outplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9416877Z   test_dispatch_meta_outplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417027Z   test_dispatch_meta_outplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417185Z   test_dispatch_meta_outplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417342Z   test_dispatch_meta_outplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417498Z   test_dispatch_meta_outplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417650Z   test_dispatch_meta_outplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417798Z   test_dispatch_meta_outplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9417945Z   test_dispatch_meta_outplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9418127Z   test_dispatch_meta_outplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9418274Z   test_dispatch_meta_outplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9418429Z   test_dispatch_meta_outplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9418618Z   test_dispatch_meta_outplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9418768Z   test_dispatch_meta_outplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419047Z   test_dispatch_meta_outplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419205Z   test_dispatch_meta_outplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419363Z   test_dispatch_meta_outplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419516Z   test_dispatch_meta_outplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419676Z   test_dispatch_meta_outplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419825Z   test_dispatch_meta_outplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9419980Z   test_dispatch_meta_outplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9420132Z   test_dispatch_meta_outplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9420279Z   test_dispatch_meta_outplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9420434Z   test_dispatch_meta_outplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9420581Z   test_dispatch_meta_outplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9420742Z   test_dispatch_meta_outplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9420908Z   test_dispatch_meta_outplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9421073Z   test_dispatch_meta_outplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9421226Z   test_dispatch_meta_outplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9421395Z   test_dispatch_meta_outplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9421564Z   test_dispatch_meta_outplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9421731Z   test_dispatch_meta_outplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9421894Z   test_dispatch_meta_outplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9422058Z   test_dispatch_meta_outplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9422220Z   test_dispatch_meta_outplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9422388Z   test_dispatch_meta_outplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9422541Z   test_dispatch_meta_outplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9422698Z   test_dispatch_meta_outplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9422859Z   test_dispatch_meta_outplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9423018Z   test_dispatch_meta_outplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:55.9423174Z   test_dispatch_meta_outplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9423330Z   test_dispatch_meta_outplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9423488Z   test_dispatch_meta_outplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9423684Z   test_dispatch_meta_outplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9423842Z   test_dispatch_meta_outplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9423989Z   test_dispatch_meta_outplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9424170Z   test_dispatch_meta_outplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9424323Z   test_dispatch_meta_outplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9424475Z   test_dispatch_meta_outplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9424635Z   test_dispatch_meta_outplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9424788Z   test_dispatch_meta_outplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9424951Z   test_dispatch_meta_outplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425118Z   test_dispatch_meta_outplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425270Z   test_dispatch_meta_outplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425426Z   test_dispatch_meta_outplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425586Z   test_dispatch_meta_outplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425741Z   test_dispatch_meta_outplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9425894Z   test_dispatch_meta_outplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9426051Z   test_dispatch_meta_outplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9426203Z   test_dispatch_meta_outplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9426357Z   test_dispatch_meta_outplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9426514Z   test_dispatch_meta_outplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9426670Z   test_dispatch_meta_outplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9426833Z   test_dispatch_meta_outplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427006Z   test_dispatch_meta_outplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427176Z   test_dispatch_meta_outplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427339Z   test_dispatch_meta_outplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427500Z   test_dispatch_meta_outplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427660Z   test_dispatch_meta_outplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427818Z   test_dispatch_meta_outplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9427970Z   test_dispatch_meta_outplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9428128Z   test_dispatch_meta_outplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9428284Z   test_dispatch_meta_outplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9428442Z   test_dispatch_meta_outplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9428600Z   test_dispatch_meta_outplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9428761Z   test_dispatch_meta_outplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9428921Z   test_dispatch_meta_outplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9429117Z   test_dispatch_meta_outplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9429286Z   test_dispatch_meta_outplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9429448Z   test_dispatch_meta_outplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9429635Z   test_dispatch_meta_outplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9429800Z   test_dispatch_meta_outplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9429963Z   test_dispatch_meta_outplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9430121Z   test_dispatch_meta_outplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9430345Z   test_dispatch_meta_outplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9430526Z   test_dispatch_meta_outplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9430689Z   test_dispatch_meta_outplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9430843Z   test_dispatch_meta_outplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9431001Z   test_dispatch_meta_outplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431158Z   test_dispatch_meta_outplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431313Z   test_dispatch_meta_outplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431473Z   test_dispatch_meta_outplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431631Z   test_dispatch_meta_outplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431787Z   test_dispatch_meta_outplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9431947Z   test_dispatch_meta_outplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432101Z   test_dispatch_meta_outplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432248Z   test_dispatch_meta_outplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432406Z   test_dispatch_meta_outplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432561Z   test_dispatch_meta_outplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432715Z   test_dispatch_meta_outplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9432866Z   test_dispatch_meta_outplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9433023Z   test_dispatch_meta_outplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433187Z   test_dispatch_meta_outplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433348Z   test_dispatch_meta_outplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433498Z   test_dispatch_meta_outplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433655Z   test_dispatch_meta_outplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433811Z   test_dispatch_meta_outplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9433984Z   test_dispatch_meta_outplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... ok (1.530s)
2022-11-23T01:45:55.9434157Z   test_dispatch_meta_outplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.539s)
2022-11-23T01:45:55.9434325Z   test_dispatch_meta_outplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.523s)
2022-11-23T01:45:55.9434490Z   test_dispatch_meta_outplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.531s)
2022-11-23T01:45:55.9434688Z   test_dispatch_meta_outplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.516s)
2022-11-23T01:45:55.9434857Z   test_dispatch_meta_outplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.541s)
2022-11-23T01:45:55.9435014Z   test_dispatch_meta_outplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.526s)
2022-11-23T01:45:55.9435203Z   test_dispatch_meta_outplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.534s)
2022-11-23T01:45:55.9435368Z   test_dispatch_meta_outplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.530s)
2022-11-23T01:45:55.9435524Z   test_dispatch_meta_outplace_unique_cuda_bool (__main__.TestMetaCUDA) ... ok (3.059s)
2022-11-23T01:45:55.9435681Z   test_dispatch_meta_outplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... ok (3.065s)
2022-11-23T01:45:55.9435837Z   test_dispatch_meta_outplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.068s)
2022-11-23T01:45:55.9435995Z   test_dispatch_meta_outplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.062s)
2022-11-23T01:45:55.9436151Z   test_dispatch_meta_outplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... ok (3.063s)
2022-11-23T01:45:55.9436303Z   test_dispatch_meta_outplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... ok (3.067s)
2022-11-23T01:45:55.9436455Z   test_dispatch_meta_outplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... ok (3.067s)
2022-11-23T01:45:55.9436609Z   test_dispatch_meta_outplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... ok (3.142s)
2022-11-23T01:45:55.9436763Z   test_dispatch_meta_outplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... ok (3.155s)
2022-11-23T01:45:55.9436930Z   test_dispatch_meta_outplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437085Z   test_dispatch_meta_outplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437252Z   test_dispatch_meta_outplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437418Z   test_dispatch_meta_outplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437583Z   test_dispatch_meta_outplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437736Z   test_dispatch_meta_outplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9437899Z   test_dispatch_meta_outplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438055Z   test_dispatch_meta_outplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438213Z   test_dispatch_meta_outplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438370Z   test_dispatch_meta_outplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438523Z   test_dispatch_meta_outplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438680Z   test_dispatch_meta_outplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438840Z   test_dispatch_meta_outplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9438994Z   test_dispatch_meta_outplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9439143Z   test_dispatch_meta_outplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9439301Z   test_dispatch_meta_outplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9439455Z   test_dispatch_meta_outplace_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9439609Z   test_dispatch_meta_outplace_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9439762Z   test_dispatch_meta_outplace_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9439918Z   test_dispatch_meta_outplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9440102Z   test_dispatch_meta_outplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9440267Z   test_dispatch_meta_outplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9440427Z   test_dispatch_meta_outplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9440607Z   test_dispatch_meta_outplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9440761Z   test_dispatch_meta_outplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9440917Z   test_dispatch_meta_outplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441071Z   test_dispatch_meta_outplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441229Z   test_dispatch_meta_outplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441387Z   test_dispatch_meta_outplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441541Z   test_dispatch_meta_outplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441696Z   test_dispatch_meta_outplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9441870Z   test_dispatch_meta_outplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9442035Z   test_dispatch_meta_outplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9442198Z   test_dispatch_meta_outplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9442363Z   test_dispatch_meta_outplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9442507Z   test_dispatch_meta_outplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9442672Z   test_dispatch_meta_outplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9442844Z   test_dispatch_meta_outplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443008Z   test_dispatch_meta_outplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443167Z   test_dispatch_meta_outplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443326Z   test_dispatch_meta_outplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443478Z   test_dispatch_meta_outplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443635Z   test_dispatch_meta_outplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443783Z   test_dispatch_meta_outplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9443938Z   test_dispatch_meta_outplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9444092Z   test_dispatch_meta_outplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9444250Z   test_dispatch_meta_outplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9444418Z   test_dispatch_meta_outplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9444586Z   test_dispatch_meta_outplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9444748Z   test_dispatch_meta_outplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9444903Z   test_dispatch_meta_outplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9445061Z   test_dispatch_meta_outplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9445212Z   test_dispatch_meta_outplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9445367Z   test_dispatch_meta_outplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9445546Z   test_dispatch_meta_outplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9445702Z   test_dispatch_meta_outplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9445855Z   test_dispatch_meta_outplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9446035Z   test_dispatch_meta_outplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9446193Z   test_dispatch_meta_outplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9446348Z   test_dispatch_meta_outplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9446503Z   test_dispatch_meta_outplace_view_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9446650Z   test_dispatch_meta_outplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9446807Z   test_dispatch_meta_outplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9446965Z   test_dispatch_meta_outplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447117Z   test_dispatch_meta_outplace_view_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447274Z   test_dispatch_meta_outplace_view_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447431Z   test_dispatch_meta_outplace_view_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447583Z   test_dispatch_meta_outplace_view_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447732Z   test_dispatch_meta_outplace_view_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9447871Z   test_dispatch_meta_outplace_view_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9448023Z   test_dispatch_meta_outplace_view_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9448173Z   test_dispatch_meta_outplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9448334Z   test_dispatch_meta_outplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9448490Z   test_dispatch_meta_outplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9448654Z   test_dispatch_meta_outplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9448814Z   test_dispatch_meta_outplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9448976Z   test_dispatch_meta_outplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449125Z   test_dispatch_meta_outplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449278Z   test_dispatch_meta_outplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449434Z   test_dispatch_meta_outplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449590Z   test_dispatch_meta_outplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449746Z   test_dispatch_meta_outplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9449899Z   test_dispatch_meta_outplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9450059Z   test_dispatch_meta_outplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9450209Z   test_dispatch_meta_outplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9450367Z   test_dispatch_meta_outplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9450512Z   test_dispatch_meta_outplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9450672Z   test_dispatch_meta_outplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9450857Z   test_dispatch_meta_outplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451017Z   test_dispatch_meta_outplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451170Z   test_dispatch_meta_outplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451360Z   test_dispatch_meta_outplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451516Z   test_dispatch_meta_outplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451672Z   test_dispatch_meta_outplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451816Z   test_dispatch_meta_outplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9451972Z   test_dispatch_meta_outplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452126Z   test_dispatch_meta_outplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452282Z   test_dispatch_meta_outplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452436Z   test_dispatch_meta_outplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452590Z   test_dispatch_meta_outplace_where_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452752Z   test_dispatch_meta_outplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9452909Z   test_dispatch_meta_outplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453068Z   test_dispatch_meta_outplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453216Z   test_dispatch_meta_outplace_where_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453372Z   test_dispatch_meta_outplace_where_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453528Z   test_dispatch_meta_outplace_where_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453685Z   test_dispatch_meta_outplace_where_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453842Z   test_dispatch_meta_outplace_where_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9453994Z   test_dispatch_meta_outplace_where_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9454148Z   test_dispatch_meta_outplace_where_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9454301Z   test_dispatch_meta_outplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9454450Z   test_dispatch_meta_outplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9454605Z   test_dispatch_meta_outplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9454760Z   test_dispatch_meta_outplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9454917Z   test_dispatch_meta_outplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9455072Z   test_dispatch_meta_outplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9455222Z   test_dispatch_meta_outplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9455374Z   test_dispatch_meta_outplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9455529Z   test_dispatch_meta_outplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9455672Z   test_dispatch_meta_outplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9455824Z   test_dispatch_meta_outplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9455978Z   test_dispatch_meta_outplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456128Z   test_dispatch_meta_outplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456313Z   test_dispatch_meta_outplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456471Z   test_dispatch_meta_outplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456623Z   test_dispatch_meta_outplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456802Z   test_dispatch_meta_outplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9456956Z   test_dispatch_meta_outplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457097Z   test_dispatch_meta_outplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457249Z   test_dispatch_meta_outplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457400Z   test_dispatch_meta_outplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457552Z   test_dispatch_meta_outplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457704Z   test_dispatch_meta_outplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9457860Z   test_dispatch_meta_outplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9458014Z   test_dispatch_meta_outplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9458175Z   test_dispatch_meta_outplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9458328Z   test_dispatch_meta_outplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9458485Z   test_dispatch_meta_outplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9458640Z   test_dispatch_meta_outplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9459230Z   test_dispatch_meta_outplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9459427Z   test_dispatch_meta_outplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9459586Z   test_dispatch_meta_outplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9459737Z   test_dispatch_meta_outplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9459892Z   test_dispatch_meta_outplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9460050Z   test_dispatch_meta_outplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9460195Z   test_dispatch_meta_outplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9460360Z   test_dispatch_meta_outplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9460517Z   test_dispatch_meta_outplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9460684Z   test_dispatch_meta_outplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9460854Z   test_dispatch_meta_outplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461020Z   test_dispatch_meta_outplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461182Z   test_dispatch_meta_outplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461346Z   test_dispatch_meta_outplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461496Z   test_dispatch_meta_outplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461653Z   test_dispatch_meta_outplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461812Z   test_dispatch_meta_outplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9461966Z   test_dispatch_meta_outplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9462123Z   test_dispatch_meta_outplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9462337Z   test_dispatch_meta_outplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9462547Z   test_dispatch_symbolic_meta_inplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9462778Z   test_dispatch_symbolic_meta_inplace_H_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9462984Z   test_dispatch_symbolic_meta_inplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9463177Z   test_dispatch_symbolic_meta_inplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9463377Z   test_dispatch_symbolic_meta_inplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9463578Z   test_dispatch_symbolic_meta_inplace_H_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9463777Z   test_dispatch_symbolic_meta_inplace_H_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9463974Z   test_dispatch_symbolic_meta_inplace_H_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9464170Z   test_dispatch_symbolic_meta_inplace_H_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9464361Z   test_dispatch_symbolic_meta_inplace_H_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9464548Z   test_dispatch_symbolic_meta_inplace_H_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9464743Z   test_dispatch_symbolic_meta_inplace_H_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9464933Z   test_dispatch_symbolic_meta_inplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9465124Z   test_dispatch_symbolic_meta_inplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9465322Z   test_dispatch_symbolic_meta_inplace_T_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9465522Z   test_dispatch_symbolic_meta_inplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9465721Z   test_dispatch_symbolic_meta_inplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9465919Z   test_dispatch_symbolic_meta_inplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9466114Z   test_dispatch_symbolic_meta_inplace_T_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9466308Z   test_dispatch_symbolic_meta_inplace_T_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9466506Z   test_dispatch_symbolic_meta_inplace_T_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9466699Z   test_dispatch_symbolic_meta_inplace_T_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9466885Z   test_dispatch_symbolic_meta_inplace_T_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9467063Z   test_dispatch_symbolic_meta_inplace_T_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9467255Z   test_dispatch_symbolic_meta_inplace_T_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9467482Z   test_dispatch_symbolic_meta_inplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9467693Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9467921Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9468132Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9468342Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9468547Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9468755Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9468958Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9469161Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9469359Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9469560Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9469762Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9469965Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9470164Z   test_dispatch_symbolic_meta_inplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9470442Z   test_dispatch_symbolic_meta_inplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9470647Z   test_dispatch_symbolic_meta_inplace___radd___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9470850Z   test_dispatch_symbolic_meta_inplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9471059Z   test_dispatch_symbolic_meta_inplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9471261Z   test_dispatch_symbolic_meta_inplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9471455Z   test_dispatch_symbolic_meta_inplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9471654Z   test_dispatch_symbolic_meta_inplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9471860Z   test_dispatch_symbolic_meta_inplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9472050Z   test_dispatch_symbolic_meta_inplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9472239Z   test_dispatch_symbolic_meta_inplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9472435Z   test_dispatch_symbolic_meta_inplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9472652Z   test_dispatch_symbolic_meta_inplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9472849Z   test_dispatch_symbolic_meta_inplace___rand___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9473069Z   test_dispatch_symbolic_meta_inplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9473258Z   test_dispatch_symbolic_meta_inplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9473438Z   test_dispatch_symbolic_meta_inplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9473629Z   test_dispatch_symbolic_meta_inplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9473821Z   test_dispatch_symbolic_meta_inplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9474022Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9474221Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9474428Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9474634Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9474828Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9475029Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9475226Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9475426Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9475619Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9475813Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9476007Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9476198Z   test_dispatch_symbolic_meta_inplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9476408Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9476618Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9476824Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9477024Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9477227Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9477427Z   test_dispatch_symbolic_meta_inplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9477645Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9477844Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9478065Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9478263Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9478461Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9478655Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9478849Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9479047Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9479238Z   test_dispatch_symbolic_meta_inplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9479439Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9479636Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9479828Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9480033Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9480228Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9480428Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9480630Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9480825Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481017Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481207Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481405Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481594Z   test_dispatch_symbolic_meta_inplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481786Z   test_dispatch_symbolic_meta_inplace___ror___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9481979Z   test_dispatch_symbolic_meta_inplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9482170Z   test_dispatch_symbolic_meta_inplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9482360Z   test_dispatch_symbolic_meta_inplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9482576Z   test_dispatch_symbolic_meta_inplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9482768Z   test_dispatch_symbolic_meta_inplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9482991Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9483193Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9483397Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9483593Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9483787Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9483982Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9484179Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9484373Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9484562Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9484758Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9484951Z   test_dispatch_symbolic_meta_inplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9485150Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9485350Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9485556Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9485749Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9485941Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9486135Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9486330Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9486520Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9486711Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9486903Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9487091Z   test_dispatch_symbolic_meta_inplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9487286Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9487499Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9487687Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9487867Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9488093Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9488290Z   test_dispatch_symbolic_meta_inplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9488507Z   test_dispatch_symbolic_meta_inplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9488727Z   test_dispatch_symbolic_meta_inplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9488935Z   test_dispatch_symbolic_meta_inplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9489142Z   test_dispatch_symbolic_meta_inplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9489314Z   test_dispatch_symbolic_meta_inplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9489477Z   test_dispatch_symbolic_meta_inplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9489681Z   test_dispatch_symbolic_meta_inplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9489872Z   test_dispatch_symbolic_meta_inplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9490068Z   test_dispatch_symbolic_meta_inplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:55.9490232Z   test_dispatch_symbolic_meta_inplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9490400Z   test_dispatch_symbolic_meta_inplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9490566Z   test_dispatch_symbolic_meta_inplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9490727Z   test_dispatch_symbolic_meta_inplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9490890Z   test_dispatch_symbolic_meta_inplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9491046Z   test_dispatch_symbolic_meta_inplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9491206Z   test_dispatch_symbolic_meta_inplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9491357Z   test_dispatch_symbolic_meta_inplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9491526Z   test_dispatch_symbolic_meta_inplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9491720Z   test_dispatch_symbolic_meta_inplace_acos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9491896Z   test_dispatch_symbolic_meta_inplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492063Z   test_dispatch_symbolic_meta_inplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492231Z   test_dispatch_symbolic_meta_inplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492398Z   test_dispatch_symbolic_meta_inplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492563Z   test_dispatch_symbolic_meta_inplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492753Z   test_dispatch_symbolic_meta_inplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9492939Z   test_dispatch_symbolic_meta_inplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9493132Z   test_dispatch_symbolic_meta_inplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9493345Z   test_dispatch_symbolic_meta_inplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9493538Z   test_dispatch_symbolic_meta_inplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9493733Z   test_dispatch_symbolic_meta_inplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9493899Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9494089Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9494261Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9494431Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9494588Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9494753Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9494920Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9495085Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9495281Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9495479Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9495672Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9495869Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9496055Z   test_dispatch_symbolic_meta_inplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9496212Z   test_dispatch_symbolic_meta_inplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9496374Z   test_dispatch_symbolic_meta_inplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9496542Z   test_dispatch_symbolic_meta_inplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9496711Z   test_dispatch_symbolic_meta_inplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9496875Z   test_dispatch_symbolic_meta_inplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497041Z   test_dispatch_symbolic_meta_inplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497206Z   test_dispatch_symbolic_meta_inplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497369Z   test_dispatch_symbolic_meta_inplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497529Z   test_dispatch_symbolic_meta_inplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497682Z   test_dispatch_symbolic_meta_inplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9497838Z   test_dispatch_symbolic_meta_inplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9498023Z   test_dispatch_symbolic_meta_inplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9498180Z   test_dispatch_symbolic_meta_inplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9498349Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9498545Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9498713Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9499000Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9499170Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9499330Z   test_dispatch_symbolic_meta_inplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9499506Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9499682Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9499854Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9500024Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9500188Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9500351Z   test_dispatch_symbolic_meta_inplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9500520Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9500683Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9500854Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9501017Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9501179Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9501341Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9501507Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9501671Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9501834Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9501998Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9502158Z   test_dispatch_symbolic_meta_inplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9502323Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9502492Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9502658Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9502820Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9502982Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9503144Z   test_dispatch_symbolic_meta_inplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9503327Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9503554Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9503733Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9503916Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9504126Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9504300Z   test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9504466Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9504638Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9504808Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9504975Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9505140Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9505295Z   test_dispatch_symbolic_meta_inplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9505466Z   test_dispatch_symbolic_meta_inplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9505627Z   test_dispatch_symbolic_meta_inplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9505800Z   test_dispatch_symbolic_meta_inplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9505966Z   test_dispatch_symbolic_meta_inplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506131Z   test_dispatch_symbolic_meta_inplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506297Z   test_dispatch_symbolic_meta_inplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506463Z   test_dispatch_symbolic_meta_inplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506625Z   test_dispatch_symbolic_meta_inplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506781Z   test_dispatch_symbolic_meta_inplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9506937Z   test_dispatch_symbolic_meta_inplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9507097Z   test_dispatch_symbolic_meta_inplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9507253Z   test_dispatch_symbolic_meta_inplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9507457Z   test_dispatch_symbolic_meta_inplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9507658Z   test_dispatch_symbolic_meta_inplace_all_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9507863Z   test_dispatch_symbolic_meta_inplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9508064Z   test_dispatch_symbolic_meta_inplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9508264Z   test_dispatch_symbolic_meta_inplace_all_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9508457Z   test_dispatch_symbolic_meta_inplace_all_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9508657Z   test_dispatch_symbolic_meta_inplace_all_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9508878Z   test_dispatch_symbolic_meta_inplace_all_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9509076Z   test_dispatch_symbolic_meta_inplace_all_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9509279Z   test_dispatch_symbolic_meta_inplace_all_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9509499Z   test_dispatch_symbolic_meta_inplace_all_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9509689Z   test_dispatch_symbolic_meta_inplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9509900Z   test_dispatch_symbolic_meta_inplace_all_strides_H_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9510108Z   test_dispatch_symbolic_meta_inplace_all_strides_T_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9510402Z   test_dispatch_symbolic_meta_inplace_all_strides___getitem___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9510628Z   test_dispatch_symbolic_meta_inplace_all_strides___radd___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9510841Z   test_dispatch_symbolic_meta_inplace_all_strides___rand___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9511054Z   test_dispatch_symbolic_meta_inplace_all_strides___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9511268Z   test_dispatch_symbolic_meta_inplace_all_strides___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9511474Z   test_dispatch_symbolic_meta_inplace_all_strides___rmod___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9511678Z   test_dispatch_symbolic_meta_inplace_all_strides___rmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9511885Z   test_dispatch_symbolic_meta_inplace_all_strides___ror___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9512100Z   test_dispatch_symbolic_meta_inplace_all_strides___rpow___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9512303Z   test_dispatch_symbolic_meta_inplace_all_strides___rsub___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9512512Z   test_dispatch_symbolic_meta_inplace_all_strides___rxor___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9512745Z   test_dispatch_symbolic_meta_inplace_all_strides__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9512915Z   test_dispatch_symbolic_meta_inplace_all_strides_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9513095Z   test_dispatch_symbolic_meta_inplace_all_strides_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9513278Z   test_dispatch_symbolic_meta_inplace_all_strides_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9513457Z   test_dispatch_symbolic_meta_inplace_all_strides_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:55.9513639Z   test_dispatch_symbolic_meta_inplace_all_strides_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9513819Z   test_dispatch_symbolic_meta_inplace_all_strides_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.155s)
2022-11-23T01:45:55.9514004Z   test_dispatch_symbolic_meta_inplace_all_strides_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.153s)
2022-11-23T01:45:55.9514207Z   test_dispatch_symbolic_meta_inplace_all_strides_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9514400Z   test_dispatch_symbolic_meta_inplace_all_strides_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9514602Z   test_dispatch_symbolic_meta_inplace_all_strides_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9514771Z   test_dispatch_symbolic_meta_inplace_all_strides_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9514980Z   test_dispatch_symbolic_meta_inplace_all_strides_all_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9515197Z   test_dispatch_symbolic_meta_inplace_all_strides_allclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9515408Z   test_dispatch_symbolic_meta_inplace_all_strides_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9515616Z   test_dispatch_symbolic_meta_inplace_all_strides_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9515827Z   test_dispatch_symbolic_meta_inplace_all_strides_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9516043Z   test_dispatch_symbolic_meta_inplace_all_strides_angle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9516252Z   test_dispatch_symbolic_meta_inplace_all_strides_any_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9516464Z   test_dispatch_symbolic_meta_inplace_all_strides_arange_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9516676Z   test_dispatch_symbolic_meta_inplace_all_strides_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9516880Z   test_dispatch_symbolic_meta_inplace_all_strides_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9517093Z   test_dispatch_symbolic_meta_inplace_all_strides_argsort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9517309Z   test_dispatch_symbolic_meta_inplace_all_strides_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9517492Z   test_dispatch_symbolic_meta_inplace_all_strides_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9517714Z   test_dispatch_symbolic_meta_inplace_all_strides_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9517892Z   test_dispatch_symbolic_meta_inplace_all_strides_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9518069Z   test_dispatch_symbolic_meta_inplace_all_strides_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9518247Z   test_dispatch_symbolic_meta_inplace_all_strides_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9518425Z   test_dispatch_symbolic_meta_inplace_all_strides_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9518594Z   test_dispatch_symbolic_meta_inplace_all_strides_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9518802Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9519009Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9519237Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9519421Z   test_dispatch_symbolic_meta_inplace_all_strides_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:55.9519640Z   test_dispatch_symbolic_meta_inplace_all_strides_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9519874Z   test_dispatch_symbolic_meta_inplace_all_strides_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9520086Z   test_dispatch_symbolic_meta_inplace_all_strides_bincount_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9520268Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9520461Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9520638Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9520812Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:55.9521005Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9521186Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9521397Z   test_dispatch_symbolic_meta_inplace_all_strides_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9521606Z   test_dispatch_symbolic_meta_inplace_all_strides_bmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9521818Z   test_dispatch_symbolic_meta_inplace_all_strides_bool_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9522043Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9522273Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9522489Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9522705Z   test_dispatch_symbolic_meta_inplace_all_strides_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9522910Z   test_dispatch_symbolic_meta_inplace_all_strides_byte_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9523128Z   test_dispatch_symbolic_meta_inplace_all_strides_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9523336Z   test_dispatch_symbolic_meta_inplace_all_strides_cat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9523548Z   test_dispatch_symbolic_meta_inplace_all_strides_cdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9523761Z   test_dispatch_symbolic_meta_inplace_all_strides_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9523938Z   test_dispatch_symbolic_meta_inplace_all_strides_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9524148Z   test_dispatch_symbolic_meta_inplace_all_strides_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9524384Z   test_dispatch_symbolic_meta_inplace_all_strides_chalf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9524596Z   test_dispatch_symbolic_meta_inplace_all_strides_char_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9524846Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9525068Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9525285Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9525489Z   test_dispatch_symbolic_meta_inplace_all_strides_chunk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9525669Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:55.9525851Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9526035Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9526243Z   test_dispatch_symbolic_meta_inplace_all_strides_clone_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9526460Z   test_dispatch_symbolic_meta_inplace_all_strides_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9526679Z   test_dispatch_symbolic_meta_inplace_all_strides_combinations_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9526898Z   test_dispatch_symbolic_meta_inplace_all_strides_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9527103Z   test_dispatch_symbolic_meta_inplace_all_strides_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9527294Z   test_dispatch_symbolic_meta_inplace_all_strides_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9527508Z   test_dispatch_symbolic_meta_inplace_all_strides_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9527725Z   test_dispatch_symbolic_meta_inplace_all_strides_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9527907Z   test_dispatch_symbolic_meta_inplace_all_strides_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9528131Z   test_dispatch_symbolic_meta_inplace_all_strides_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9528309Z   test_dispatch_symbolic_meta_inplace_all_strides_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9528490Z   test_dispatch_symbolic_meta_inplace_all_strides_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9528717Z   test_dispatch_symbolic_meta_inplace_all_strides_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9528924Z   test_dispatch_symbolic_meta_inplace_all_strides_cov_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9529135Z   test_dispatch_symbolic_meta_inplace_all_strides_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9529374Z   test_dispatch_symbolic_meta_inplace_all_strides_cummax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9529585Z   test_dispatch_symbolic_meta_inplace_all_strides_cummin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9529760Z   test_dispatch_symbolic_meta_inplace_all_strides_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9529999Z   test_dispatch_symbolic_meta_inplace_all_strides_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9530227Z   test_dispatch_symbolic_meta_inplace_all_strides_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9530410Z   test_dispatch_symbolic_meta_inplace_all_strides_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9530619Z   test_dispatch_symbolic_meta_inplace_all_strides_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9530842Z   test_dispatch_symbolic_meta_inplace_all_strides_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9531055Z   test_dispatch_symbolic_meta_inplace_all_strides_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9531279Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9531492Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9531714Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9531916Z   test_dispatch_symbolic_meta_inplace_all_strides_diff_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9532095Z   test_dispatch_symbolic_meta_inplace_all_strides_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9532299Z   test_dispatch_symbolic_meta_inplace_all_strides_dist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9532493Z   test_dispatch_symbolic_meta_inplace_all_strides_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:55.9532687Z   test_dispatch_symbolic_meta_inplace_all_strides_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9532877Z   test_dispatch_symbolic_meta_inplace_all_strides_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9533084Z   test_dispatch_symbolic_meta_inplace_all_strides_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9533297Z   test_dispatch_symbolic_meta_inplace_all_strides_double_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9533510Z   test_dispatch_symbolic_meta_inplace_all_strides_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9533723Z   test_dispatch_symbolic_meta_inplace_all_strides_dstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9533934Z   test_dispatch_symbolic_meta_inplace_all_strides_einsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9534136Z   test_dispatch_symbolic_meta_inplace_all_strides_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9534353Z   test_dispatch_symbolic_meta_inplace_all_strides_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9534554Z   test_dispatch_symbolic_meta_inplace_all_strides_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:55.9534760Z   test_dispatch_symbolic_meta_inplace_all_strides_equal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9534961Z   test_dispatch_symbolic_meta_inplace_all_strides_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9535139Z   test_dispatch_symbolic_meta_inplace_all_strides_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9535318Z   test_dispatch_symbolic_meta_inplace_all_strides_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9535490Z   test_dispatch_symbolic_meta_inplace_all_strides_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9535665Z   test_dispatch_symbolic_meta_inplace_all_strides_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9535875Z   test_dispatch_symbolic_meta_inplace_all_strides_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9536084Z   test_dispatch_symbolic_meta_inplace_all_strides_expand_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9536265Z   test_dispatch_symbolic_meta_inplace_all_strides_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9536471Z   test_dispatch_symbolic_meta_inplace_all_strides_eye_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9536683Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9536895Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9537109Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9537326Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9537543Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9537754Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9537964Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9538161Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9538370Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9538574Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9538905Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9539120Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9539336Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9539543Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9539789Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9539999Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9540236Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9540444Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9540644Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9540852Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9541028Z   test_dispatch_symbolic_meta_inplace_all_strides_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9541240Z   test_dispatch_symbolic_meta_inplace_all_strides_flatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9541453Z   test_dispatch_symbolic_meta_inplace_all_strides_flip_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9541663Z   test_dispatch_symbolic_meta_inplace_all_strides_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9541879Z   test_dispatch_symbolic_meta_inplace_all_strides_flipud_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9542092Z   test_dispatch_symbolic_meta_inplace_all_strides_float_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9542314Z   test_dispatch_symbolic_meta_inplace_all_strides_float_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9542493Z   test_dispatch_symbolic_meta_inplace_all_strides_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9542682Z   test_dispatch_symbolic_meta_inplace_all_strides_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:55.9542882Z   test_dispatch_symbolic_meta_inplace_all_strides_fmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9543093Z   test_dispatch_symbolic_meta_inplace_all_strides_fmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9543271Z   test_dispatch_symbolic_meta_inplace_all_strides_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9543448Z   test_dispatch_symbolic_meta_inplace_all_strides_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9543656Z   test_dispatch_symbolic_meta_inplace_all_strides_frexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9543864Z   test_dispatch_symbolic_meta_inplace_all_strides_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9544078Z   test_dispatch_symbolic_meta_inplace_all_strides_full_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9544291Z   test_dispatch_symbolic_meta_inplace_all_strides_gather_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9544469Z   test_dispatch_symbolic_meta_inplace_all_strides_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9544670Z   test_dispatch_symbolic_meta_inplace_all_strides_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9544876Z   test_dispatch_symbolic_meta_inplace_all_strides_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9545088Z   test_dispatch_symbolic_meta_inplace_all_strides_gradient_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9545329Z   test_dispatch_symbolic_meta_inplace_all_strides_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9545503Z   test_dispatch_symbolic_meta_inplace_all_strides_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9545711Z   test_dispatch_symbolic_meta_inplace_all_strides_half_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9545895Z   test_dispatch_symbolic_meta_inplace_all_strides_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:55.9546108Z   test_dispatch_symbolic_meta_inplace_all_strides_histc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9546320Z   test_dispatch_symbolic_meta_inplace_all_strides_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9546535Z   test_dispatch_symbolic_meta_inplace_all_strides_hstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9546714Z   test_dispatch_symbolic_meta_inplace_all_strides_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9546881Z   test_dispatch_symbolic_meta_inplace_all_strides_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9547061Z   test_dispatch_symbolic_meta_inplace_all_strides_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9547244Z   test_dispatch_symbolic_meta_inplace_all_strides_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9547460Z   test_dispatch_symbolic_meta_inplace_all_strides_imag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9547643Z   test_dispatch_symbolic_meta_inplace_all_strides_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:55.9547829Z   test_dispatch_symbolic_meta_inplace_all_strides_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9548011Z   test_dispatch_symbolic_meta_inplace_all_strides_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9548196Z   test_dispatch_symbolic_meta_inplace_all_strides_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9548383Z   test_dispatch_symbolic_meta_inplace_all_strides_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.358s)
2022-11-23T01:45:55.9548604Z   test_dispatch_symbolic_meta_inplace_all_strides_index_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9548807Z   test_dispatch_symbolic_meta_inplace_all_strides_inner_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9549016Z   test_dispatch_symbolic_meta_inplace_all_strides_int_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9549232Z   test_dispatch_symbolic_meta_inplace_all_strides_isclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9549445Z   test_dispatch_symbolic_meta_inplace_all_strides_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9549653Z   test_dispatch_symbolic_meta_inplace_all_strides_isin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9549883Z   test_dispatch_symbolic_meta_inplace_all_strides_isinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9550092Z   test_dispatch_symbolic_meta_inplace_all_strides_isnan_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9550395Z   test_dispatch_symbolic_meta_inplace_all_strides_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9550618Z   test_dispatch_symbolic_meta_inplace_all_strides_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9550830Z   test_dispatch_symbolic_meta_inplace_all_strides_isreal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9551045Z   test_dispatch_symbolic_meta_inplace_all_strides_istft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9551273Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9551509Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9551735Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9551968Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9552187Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9552396Z   test_dispatch_symbolic_meta_inplace_all_strides_kron_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9552607Z   test_dispatch_symbolic_meta_inplace_all_strides_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9552781Z   test_dispatch_symbolic_meta_inplace_all_strides_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9552968Z   test_dispatch_symbolic_meta_inplace_all_strides_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9553142Z   test_dispatch_symbolic_meta_inplace_all_strides_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9553319Z   test_dispatch_symbolic_meta_inplace_all_strides_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.155s)
2022-11-23T01:45:55.9553490Z   test_dispatch_symbolic_meta_inplace_all_strides_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9553710Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9553936Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9554151Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9554372Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9554587Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9554808Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9555049Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9555266Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9555509Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9555730Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9555954Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9556168Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9556384Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9556607Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9556833Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9557053Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9557268Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9557505Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9557720Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9557941Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9558162Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9558372Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9558597Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9558817Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9559036Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9559270Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9559489Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9559703Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9559963Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9560180Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9560445Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9560701Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:55.9560916Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9561129Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9561347Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9561567Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9561798Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9562013Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9562231Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9562454Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9562678Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9562902Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9563119Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9563334Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9563547Z   test_dispatch_symbolic_meta_inplace_all_strides_linspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9563718Z   test_dispatch_symbolic_meta_inplace_all_strides_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9563897Z   test_dispatch_symbolic_meta_inplace_all_strides_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9564076Z   test_dispatch_symbolic_meta_inplace_all_strides_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9564254Z   test_dispatch_symbolic_meta_inplace_all_strides_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9564467Z   test_dispatch_symbolic_meta_inplace_all_strides_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9564692Z   test_dispatch_symbolic_meta_inplace_all_strides_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9564932Z   test_dispatch_symbolic_meta_inplace_all_strides_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9565150Z   test_dispatch_symbolic_meta_inplace_all_strides_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9565370Z   test_dispatch_symbolic_meta_inplace_all_strides_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9565612Z   test_dispatch_symbolic_meta_inplace_all_strides_logdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9565790Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9565969Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9566154Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9566340Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9566517Z   test_dispatch_symbolic_meta_inplace_all_strides_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9566734Z   test_dispatch_symbolic_meta_inplace_all_strides_logspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9566949Z   test_dispatch_symbolic_meta_inplace_all_strides_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9567160Z   test_dispatch_symbolic_meta_inplace_all_strides_long_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9567335Z   test_dispatch_symbolic_meta_inplace_all_strides_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9567548Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9567752Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9567968Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9568174Z   test_dispatch_symbolic_meta_inplace_all_strides_mH_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9568378Z   test_dispatch_symbolic_meta_inplace_all_strides_mT_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9568595Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9568804Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9569021Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9569242Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9569460Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9569679Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9569863Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:55.9570100Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9570324Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9570571Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9570785Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9571001Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9571218Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9571438Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9571654Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9571843Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:55.9572059Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9572279Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9572491Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9572709Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9572917Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9573130Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9573341Z   test_dispatch_symbolic_meta_inplace_all_strides_matmul_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9573554Z   test_dispatch_symbolic_meta_inplace_all_strides_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9573764Z   test_dispatch_symbolic_meta_inplace_all_strides_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9574002Z   test_dispatch_symbolic_meta_inplace_all_strides_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9574227Z   test_dispatch_symbolic_meta_inplace_all_strides_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9574452Z   test_dispatch_symbolic_meta_inplace_all_strides_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9574661Z   test_dispatch_symbolic_meta_inplace_all_strides_maximum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9574864Z   test_dispatch_symbolic_meta_inplace_all_strides_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9575098Z   test_dispatch_symbolic_meta_inplace_all_strides_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9575329Z   test_dispatch_symbolic_meta_inplace_all_strides_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9575589Z   test_dispatch_symbolic_meta_inplace_all_strides_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9575799Z   test_dispatch_symbolic_meta_inplace_all_strides_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9576020Z   test_dispatch_symbolic_meta_inplace_all_strides_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9576248Z   test_dispatch_symbolic_meta_inplace_all_strides_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9576460Z   test_dispatch_symbolic_meta_inplace_all_strides_minimum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9576670Z   test_dispatch_symbolic_meta_inplace_all_strides_mm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9576878Z   test_dispatch_symbolic_meta_inplace_all_strides_mode_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9577084Z   test_dispatch_symbolic_meta_inplace_all_strides_movedim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9577294Z   test_dispatch_symbolic_meta_inplace_all_strides_msort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9577467Z   test_dispatch_symbolic_meta_inplace_all_strides_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9577682Z   test_dispatch_symbolic_meta_inplace_all_strides_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9577888Z   test_dispatch_symbolic_meta_inplace_all_strides_mv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9578087Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:55.9578281Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9578467Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:55.9578650Z   test_dispatch_symbolic_meta_inplace_all_strides_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9579056Z   test_dispatch_symbolic_meta_inplace_all_strides_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9579275Z   test_dispatch_symbolic_meta_inplace_all_strides_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9579497Z   test_dispatch_symbolic_meta_inplace_all_strides_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9579701Z   test_dispatch_symbolic_meta_inplace_all_strides_nansum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9579917Z   test_dispatch_symbolic_meta_inplace_all_strides_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9580169Z   test_dispatch_symbolic_meta_inplace_all_strides_narrow_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9580394Z   test_dispatch_symbolic_meta_inplace_all_strides_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9580621Z   test_dispatch_symbolic_meta_inplace_all_strides_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9580872Z   test_dispatch_symbolic_meta_inplace_all_strides_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9581048Z   test_dispatch_symbolic_meta_inplace_all_strides_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9581229Z   test_dispatch_symbolic_meta_inplace_all_strides_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9581444Z   test_dispatch_symbolic_meta_inplace_all_strides_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9581665Z   test_dispatch_symbolic_meta_inplace_all_strides_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9581878Z   test_dispatch_symbolic_meta_inplace_all_strides_new_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9582079Z   test_dispatch_symbolic_meta_inplace_all_strides_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9582291Z   test_dispatch_symbolic_meta_inplace_all_strides_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9582475Z   test_dispatch_symbolic_meta_inplace_all_strides_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9582706Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:55.9582943Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9583178Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9583409Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9583639Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9583868Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9584094Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9584300Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9584528Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9584741Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9584957Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9585201Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9585427Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9585689Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9585937Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9586129Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9586356Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9586580Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9586814Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9587051Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9587285Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9587516Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9587752Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9587984Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9588215Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9588412Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:55.9588611Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:55.9588807Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9588998Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9589229Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9589458Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9589677Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9589890Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9590151Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9590461Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9590723Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9590948Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9591173Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9591405Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9591631Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9591852Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9592055Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9592285Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9592512Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9592744Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9592970Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9593201Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9593435Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9593675Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9593917Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9594156Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9594395Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9594634Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9594857Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9595103Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9595329Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9595550Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:55.9595774Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9596009Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9596233Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9596468Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9596696Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9596919Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9597138Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9597366Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9597598Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9597827Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9598060Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9598290Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9598516Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9598707Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9598933Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9599169Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9599409Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9599653Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9599880Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9600130Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9600353Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9600602Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9600825Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9601053Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9601279Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9601512Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9601737Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9601966Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9602199Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9602436Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9602654Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9602877Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9603102Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9603294Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9603482Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9603668Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9603898Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9604133Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9604360Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9604596Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9604843Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9605077Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9605301Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9605554Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9605751Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9605988Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9606240Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9606458Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9606695Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9606933Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9607145Z   test_dispatch_symbolic_meta_inplace_all_strides_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9607355Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9607567Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9607771Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9607975Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9608186Z   test_dispatch_symbolic_meta_inplace_all_strides_normal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9608407Z   test_dispatch_symbolic_meta_inplace_all_strides_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9608615Z   test_dispatch_symbolic_meta_inplace_all_strides_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9608827Z   test_dispatch_symbolic_meta_inplace_all_strides_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9609029Z   test_dispatch_symbolic_meta_inplace_all_strides_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9609240Z   test_dispatch_symbolic_meta_inplace_all_strides_outer_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9609455Z   test_dispatch_symbolic_meta_inplace_all_strides_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9609664Z   test_dispatch_symbolic_meta_inplace_all_strides_permute_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9609903Z   test_dispatch_symbolic_meta_inplace_all_strides_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9610112Z   test_dispatch_symbolic_meta_inplace_all_strides_polar_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9610331Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9610527Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9610724Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9610921Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9611106Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9611320Z   test_dispatch_symbolic_meta_inplace_all_strides_positive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9611498Z   test_dispatch_symbolic_meta_inplace_all_strides_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:55.9611708Z   test_dispatch_symbolic_meta_inplace_all_strides_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9611884Z   test_dispatch_symbolic_meta_inplace_all_strides_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.095s)
2022-11-23T01:45:55.9612090Z   test_dispatch_symbolic_meta_inplace_all_strides_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9612301Z   test_dispatch_symbolic_meta_inplace_all_strides_quantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9612484Z   test_dispatch_symbolic_meta_inplace_all_strides_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9612698Z   test_dispatch_symbolic_meta_inplace_all_strides_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9612913Z   test_dispatch_symbolic_meta_inplace_all_strides_randint_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9613128Z   test_dispatch_symbolic_meta_inplace_all_strides_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9613330Z   test_dispatch_symbolic_meta_inplace_all_strides_randn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9613542Z   test_dispatch_symbolic_meta_inplace_all_strides_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9613756Z   test_dispatch_symbolic_meta_inplace_all_strides_ravel_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9613964Z   test_dispatch_symbolic_meta_inplace_all_strides_real_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9614150Z   test_dispatch_symbolic_meta_inplace_all_strides_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9614335Z   test_dispatch_symbolic_meta_inplace_all_strides_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:55.9614514Z   test_dispatch_symbolic_meta_inplace_all_strides_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9614728Z   test_dispatch_symbolic_meta_inplace_all_strides_repeat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9614980Z   test_dispatch_symbolic_meta_inplace_all_strides_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9615203Z   test_dispatch_symbolic_meta_inplace_all_strides_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9615430Z   test_dispatch_symbolic_meta_inplace_all_strides_reshape_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9615610Z   test_dispatch_symbolic_meta_inplace_all_strides_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9615796Z   test_dispatch_symbolic_meta_inplace_all_strides_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9616019Z   test_dispatch_symbolic_meta_inplace_all_strides_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9616238Z   test_dispatch_symbolic_meta_inplace_all_strides_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9616448Z   test_dispatch_symbolic_meta_inplace_all_strides_roll_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9616658Z   test_dispatch_symbolic_meta_inplace_all_strides_rot90_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9616841Z   test_dispatch_symbolic_meta_inplace_all_strides_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9617031Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9617221Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9617404Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9617583Z   test_dispatch_symbolic_meta_inplace_all_strides_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9617791Z   test_dispatch_symbolic_meta_inplace_all_strides_rsub_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9618014Z   test_dispatch_symbolic_meta_inplace_all_strides_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9618197Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.153s)
2022-11-23T01:45:55.9618376Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.460s)
2022-11-23T01:45:55.9618568Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.461s)
2022-11-23T01:45:55.9618763Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.758s)
2022-11-23T01:45:55.9619063Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.505s)
2022-11-23T01:45:55.9619254Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.479s)
2022-11-23T01:45:55.9619437Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.478s)
2022-11-23T01:45:55.9619657Z   test_dispatch_symbolic_meta_inplace_all_strides_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9619886Z   test_dispatch_symbolic_meta_inplace_all_strides_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9620151Z   test_dispatch_symbolic_meta_inplace_all_strides_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9620366Z   test_dispatch_symbolic_meta_inplace_all_strides_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9620586Z   test_dispatch_symbolic_meta_inplace_all_strides_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9620789Z   test_dispatch_symbolic_meta_inplace_all_strides_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9621001Z   test_dispatch_symbolic_meta_inplace_all_strides_short_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9621184Z   test_dispatch_symbolic_meta_inplace_all_strides_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9621361Z   test_dispatch_symbolic_meta_inplace_all_strides_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9621589Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9621816Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9622043Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9622271Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9622484Z   test_dispatch_symbolic_meta_inplace_all_strides_signbit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9622661Z   test_dispatch_symbolic_meta_inplace_all_strides_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9622841Z   test_dispatch_symbolic_meta_inplace_all_strides_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9623018Z   test_dispatch_symbolic_meta_inplace_all_strides_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9623230Z   test_dispatch_symbolic_meta_inplace_all_strides_slice_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9623450Z   test_dispatch_symbolic_meta_inplace_all_strides_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9623661Z   test_dispatch_symbolic_meta_inplace_all_strides_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9623876Z   test_dispatch_symbolic_meta_inplace_all_strides_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9624089Z   test_dispatch_symbolic_meta_inplace_all_strides_sort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9624319Z   test_dispatch_symbolic_meta_inplace_all_strides_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9624542Z   test_dispatch_symbolic_meta_inplace_all_strides_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9624762Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9624982Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9625219Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9625434Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9625673Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9625936Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9626389Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9626770Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9626982Z   test_dispatch_symbolic_meta_inplace_all_strides_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9627201Z   test_dispatch_symbolic_meta_inplace_all_strides_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9627437Z   test_dispatch_symbolic_meta_inplace_all_strides_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9627674Z   test_dispatch_symbolic_meta_inplace_all_strides_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9627891Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9628107Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9628318Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9628555Z   test_dispatch_symbolic_meta_inplace_all_strides_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9628941Z   test_dispatch_symbolic_meta_inplace_all_strides_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9629163Z   test_dispatch_symbolic_meta_inplace_all_strides_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9629396Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9629620Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9629836Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9630057Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9630335Z   test_dispatch_symbolic_meta_inplace_all_strides_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9630588Z   test_dispatch_symbolic_meta_inplace_all_strides_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9630865Z   test_dispatch_symbolic_meta_inplace_all_strides_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9631108Z   test_dispatch_symbolic_meta_inplace_all_strides_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9631377Z   test_dispatch_symbolic_meta_inplace_all_strides_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9631776Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9632171Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9632558Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9632953Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:55.9633188Z   test_dispatch_symbolic_meta_inplace_all_strides_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9633410Z   test_dispatch_symbolic_meta_inplace_all_strides_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9633630Z   test_dispatch_symbolic_meta_inplace_all_strides_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9633834Z   test_dispatch_symbolic_meta_inplace_all_strides_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9634053Z   test_dispatch_symbolic_meta_inplace_all_strides_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9634279Z   test_dispatch_symbolic_meta_inplace_all_strides_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9634459Z   test_dispatch_symbolic_meta_inplace_all_strides_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9634640Z   test_dispatch_symbolic_meta_inplace_all_strides_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9634820Z   test_dispatch_symbolic_meta_inplace_all_strides_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:55.9635032Z   test_dispatch_symbolic_meta_inplace_all_strides_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9635241Z   test_dispatch_symbolic_meta_inplace_all_strides_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9635457Z   test_dispatch_symbolic_meta_inplace_all_strides_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9635667Z   test_dispatch_symbolic_meta_inplace_all_strides_stft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9635836Z   test_dispatch_symbolic_meta_inplace_all_strides_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9636041Z   test_dispatch_symbolic_meta_inplace_all_strides_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9636282Z   test_dispatch_symbolic_meta_inplace_all_strides_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9636490Z   test_dispatch_symbolic_meta_inplace_all_strides_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9636725Z   test_dispatch_symbolic_meta_inplace_all_strides_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9636939Z   test_dispatch_symbolic_meta_inplace_all_strides_symeig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9637119Z   test_dispatch_symbolic_meta_inplace_all_strides_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9637338Z   test_dispatch_symbolic_meta_inplace_all_strides_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9637554Z   test_dispatch_symbolic_meta_inplace_all_strides_take_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9637731Z   test_dispatch_symbolic_meta_inplace_all_strides_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9637903Z   test_dispatch_symbolic_meta_inplace_all_strides_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9638118Z   test_dispatch_symbolic_meta_inplace_all_strides_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9638335Z   test_dispatch_symbolic_meta_inplace_all_strides_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9638541Z   test_dispatch_symbolic_meta_inplace_all_strides_tile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9638750Z   test_dispatch_symbolic_meta_inplace_all_strides_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9638963Z   test_dispatch_symbolic_meta_inplace_all_strides_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9639170Z   test_dispatch_symbolic_meta_inplace_all_strides_topk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9639383Z   test_dispatch_symbolic_meta_inplace_all_strides_trace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9639569Z   test_dispatch_symbolic_meta_inplace_all_strides_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9639786Z   test_dispatch_symbolic_meta_inplace_all_strides_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9639998Z   test_dispatch_symbolic_meta_inplace_all_strides_trapz_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9640211Z   test_dispatch_symbolic_meta_inplace_all_strides_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9640388Z   test_dispatch_symbolic_meta_inplace_all_strides_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:55.9640607Z   test_dispatch_symbolic_meta_inplace_all_strides_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9640783Z   test_dispatch_symbolic_meta_inplace_all_strides_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:55.9641000Z   test_dispatch_symbolic_meta_inplace_all_strides_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9641185Z   test_dispatch_symbolic_meta_inplace_all_strides_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:55.9641395Z   test_dispatch_symbolic_meta_inplace_all_strides_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9641606Z   test_dispatch_symbolic_meta_inplace_all_strides_unbind_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9641844Z   test_dispatch_symbolic_meta_inplace_all_strides_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9642059Z   test_dispatch_symbolic_meta_inplace_all_strides_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9642262Z   test_dispatch_symbolic_meta_inplace_all_strides_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9642443Z   test_dispatch_symbolic_meta_inplace_all_strides_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9642669Z   test_dispatch_symbolic_meta_inplace_all_strides_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9642878Z   test_dispatch_symbolic_meta_inplace_all_strides_unique_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9643069Z   test_dispatch_symbolic_meta_inplace_all_strides_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:55.9643279Z   test_dispatch_symbolic_meta_inplace_all_strides_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9643490Z   test_dispatch_symbolic_meta_inplace_all_strides_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9643700Z   test_dispatch_symbolic_meta_inplace_all_strides_vdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9643923Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9644133Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9644355Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9644560Z   test_dispatch_symbolic_meta_inplace_all_strides_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9644766Z   test_dispatch_symbolic_meta_inplace_all_strides_view_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9644977Z   test_dispatch_symbolic_meta_inplace_all_strides_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9645190Z   test_dispatch_symbolic_meta_inplace_all_strides_vstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9645398Z   test_dispatch_symbolic_meta_inplace_all_strides_where_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9645577Z   test_dispatch_symbolic_meta_inplace_all_strides_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:55.9645754Z   test_dispatch_symbolic_meta_inplace_all_strides_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9645965Z   test_dispatch_symbolic_meta_inplace_all_strides_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9646181Z   test_dispatch_symbolic_meta_inplace_all_strides_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9646410Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9646618Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9646839Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9647043Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9647246Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9647449Z   test_dispatch_symbolic_meta_inplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9647652Z   test_dispatch_symbolic_meta_inplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9647849Z   test_dispatch_symbolic_meta_inplace_amax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9648048Z   test_dispatch_symbolic_meta_inplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9648244Z   test_dispatch_symbolic_meta_inplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9648434Z   test_dispatch_symbolic_meta_inplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9648631Z   test_dispatch_symbolic_meta_inplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9648821Z   test_dispatch_symbolic_meta_inplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9649020Z   test_dispatch_symbolic_meta_inplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9649211Z   test_dispatch_symbolic_meta_inplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9649408Z   test_dispatch_symbolic_meta_inplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9649610Z   test_dispatch_symbolic_meta_inplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9649809Z   test_dispatch_symbolic_meta_inplace_amin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650009Z   test_dispatch_symbolic_meta_inplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650202Z   test_dispatch_symbolic_meta_inplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650392Z   test_dispatch_symbolic_meta_inplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650583Z   test_dispatch_symbolic_meta_inplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650775Z   test_dispatch_symbolic_meta_inplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9650968Z   test_dispatch_symbolic_meta_inplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9651163Z   test_dispatch_symbolic_meta_inplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9651354Z   test_dispatch_symbolic_meta_inplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9651587Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9651785Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652009Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652205Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652399Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652598Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652787Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9652980Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9653178Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9653370Z   test_dispatch_symbolic_meta_inplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9653566Z   test_dispatch_symbolic_meta_inplace_angle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9653769Z   test_dispatch_symbolic_meta_inplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9653969Z   test_dispatch_symbolic_meta_inplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9654163Z   test_dispatch_symbolic_meta_inplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9654363Z   test_dispatch_symbolic_meta_inplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9654563Z   test_dispatch_symbolic_meta_inplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9654754Z   test_dispatch_symbolic_meta_inplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9654951Z   test_dispatch_symbolic_meta_inplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9655150Z   test_dispatch_symbolic_meta_inplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9655346Z   test_dispatch_symbolic_meta_inplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9655542Z   test_dispatch_symbolic_meta_inplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9655741Z   test_dispatch_symbolic_meta_inplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9655937Z   test_dispatch_symbolic_meta_inplace_any_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9656141Z   test_dispatch_symbolic_meta_inplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9656341Z   test_dispatch_symbolic_meta_inplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9656561Z   test_dispatch_symbolic_meta_inplace_any_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9656758Z   test_dispatch_symbolic_meta_inplace_any_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9656943Z   test_dispatch_symbolic_meta_inplace_any_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9657162Z   test_dispatch_symbolic_meta_inplace_any_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9657355Z   test_dispatch_symbolic_meta_inplace_any_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9657550Z   test_dispatch_symbolic_meta_inplace_any_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9657750Z   test_dispatch_symbolic_meta_inplace_any_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9657943Z   test_dispatch_symbolic_meta_inplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9658148Z   test_dispatch_symbolic_meta_inplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9658354Z   test_dispatch_symbolic_meta_inplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9658558Z   test_dispatch_symbolic_meta_inplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9658752Z   test_dispatch_symbolic_meta_inplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9659055Z   test_dispatch_symbolic_meta_inplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9659251Z   test_dispatch_symbolic_meta_inplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9659440Z   test_dispatch_symbolic_meta_inplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9659640Z   test_dispatch_symbolic_meta_inplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9659844Z   test_dispatch_symbolic_meta_inplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9660046Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9660247Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9660444Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9660637Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9660834Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9661022Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9661213Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9661409Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9661608Z   test_dispatch_symbolic_meta_inplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9661850Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9662051Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9662273Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9662467Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9662662Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9662857Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9663041Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9663240Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9663441Z   test_dispatch_symbolic_meta_inplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9663648Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9663845Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9664039Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9664233Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9664435Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9664628Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9664821Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9665006Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9665198Z   test_dispatch_symbolic_meta_inplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9665402Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9665607Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9665816Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9666025Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9666227Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9666429Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9666633Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9666863Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9667060Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9667275Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9667475Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9667668Z   test_dispatch_symbolic_meta_inplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9667842Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668014Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668195Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668371Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668548Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668719Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9668877Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669042Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669213Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669378Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669539Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669707Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9669871Z   test_dispatch_symbolic_meta_inplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9670086Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9670367Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9670605Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9670836Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9671045Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9671260Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9671472Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9671686Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9671896Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9672133Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9672344Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9672581Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9672787Z   test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9672947Z   test_dispatch_symbolic_meta_inplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9673140Z   test_dispatch_symbolic_meta_inplace_asin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9673311Z   test_dispatch_symbolic_meta_inplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9673480Z   test_dispatch_symbolic_meta_inplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9673648Z   test_dispatch_symbolic_meta_inplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9673814Z   test_dispatch_symbolic_meta_inplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9673982Z   test_dispatch_symbolic_meta_inplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9674146Z   test_dispatch_symbolic_meta_inplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9674338Z   test_dispatch_symbolic_meta_inplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9674524Z   test_dispatch_symbolic_meta_inplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9674712Z   test_dispatch_symbolic_meta_inplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9674901Z   test_dispatch_symbolic_meta_inplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9675094Z   test_dispatch_symbolic_meta_inplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9675267Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9675454Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9675622Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9675790Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9675953Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9676122Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9676279Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9676443Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9676641Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9676833Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9677019Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9677211Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9677422Z   test_dispatch_symbolic_meta_inplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9677591Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9677777Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9677955Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9678118Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9678281Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9678470Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9678661Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9678845Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9679033Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9679220Z   test_dispatch_symbolic_meta_inplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9679384Z   test_dispatch_symbolic_meta_inplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9679567Z   test_dispatch_symbolic_meta_inplace_atan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9679736Z   test_dispatch_symbolic_meta_inplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9679905Z   test_dispatch_symbolic_meta_inplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9680073Z   test_dispatch_symbolic_meta_inplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9680238Z   test_dispatch_symbolic_meta_inplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9680405Z   test_dispatch_symbolic_meta_inplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9680567Z   test_dispatch_symbolic_meta_inplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9680758Z   test_dispatch_symbolic_meta_inplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9680947Z   test_dispatch_symbolic_meta_inplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9681125Z   test_dispatch_symbolic_meta_inplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9681319Z   test_dispatch_symbolic_meta_inplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9681511Z   test_dispatch_symbolic_meta_inplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9681677Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9681863Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9682034Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9682202Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9682367Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9682557Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9682714Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9682883Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9683099Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9683290Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9683477Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9683666Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9683856Z   test_dispatch_symbolic_meta_inplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9684060Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9684266Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9684478Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9684681Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9684891Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9685098Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9685309Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9685513Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9685719Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9685921Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9686121Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9686321Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9686524Z   test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9686728Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9686925Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9687137Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9687342Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9687548Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9687774Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9687980Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9688204Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9688401Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9688599Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9688798Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9688993Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9689193Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9689396Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9689599Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9689809Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9690014Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9690219Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9690420Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9690620Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9690826Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691021Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691214Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691412Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691613Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691811Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9691983Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9692158Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9692331Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9692498Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9692661Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9692837Z   test_dispatch_symbolic_meta_inplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9693048Z   test_dispatch_symbolic_meta_inplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9693254Z   test_dispatch_symbolic_meta_inplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9693481Z   test_dispatch_symbolic_meta_inplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9693686Z   test_dispatch_symbolic_meta_inplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9693890Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9694095Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9694300Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9694504Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9694710Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9694901Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9695099Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9695302Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9695502Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9695694Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9695889Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9696085Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9696275Z   test_dispatch_symbolic_meta_inplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9696465Z   test_dispatch_symbolic_meta_inplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9696657Z   test_dispatch_symbolic_meta_inplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9696847Z   test_dispatch_symbolic_meta_inplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9697040Z   test_dispatch_symbolic_meta_inplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9697230Z   test_dispatch_symbolic_meta_inplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9697400Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9697570Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9697734Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9697932Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9698104Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9698275Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9698477Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9698649Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9698926Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9699104Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9699279Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9699450Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9699620Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9699786Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9699948Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9700114Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9700269Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9700435Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9700601Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9700762Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9700921Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701086Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701246Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701426Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701605Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701774Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9701953Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702126Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702294Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702464Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702629Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702790Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9702955Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9703118Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9703356Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9703562Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9703812Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9704018Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9704223Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9704425Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9704634Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9704836Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9705039Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9705241Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9705437Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9705634Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9705835Z   test_dispatch_symbolic_meta_inplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9706035Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9706235Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9706436Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9706630Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9706827Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9707022Z   test_dispatch_symbolic_meta_inplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9707221Z   test_dispatch_symbolic_meta_inplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9707409Z   test_dispatch_symbolic_meta_inplace_bool_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9707612Z   test_dispatch_symbolic_meta_inplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9707811Z   test_dispatch_symbolic_meta_inplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9708003Z   test_dispatch_symbolic_meta_inplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9708199Z   test_dispatch_symbolic_meta_inplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9708415Z   test_dispatch_symbolic_meta_inplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9708607Z   test_dispatch_symbolic_meta_inplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9708828Z   test_dispatch_symbolic_meta_inplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9709025Z   test_dispatch_symbolic_meta_inplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9709222Z   test_dispatch_symbolic_meta_inplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9709406Z   test_dispatch_symbolic_meta_inplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9709606Z   test_dispatch_symbolic_meta_inplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9709819Z   test_dispatch_symbolic_meta_inplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9710033Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9710299Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9710535Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9710748Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9710967Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9711181Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9711389Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9711601Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9711804Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9712007Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9712219Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9712419Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9712626Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9712833Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9713042Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9713249Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9713480Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9713692Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9713891Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9714110Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9714317Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9714520Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9714726Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9714925Z   test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9715130Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9715334Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9715534Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9715735Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9715932Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9716118Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9716318Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9716512Z   test_dispatch_symbolic_meta_inplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9716708Z   test_dispatch_symbolic_meta_inplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9716903Z   test_dispatch_symbolic_meta_inplace_byte_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9717104Z   test_dispatch_symbolic_meta_inplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9717305Z   test_dispatch_symbolic_meta_inplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9717499Z   test_dispatch_symbolic_meta_inplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9717691Z   test_dispatch_symbolic_meta_inplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9717883Z   test_dispatch_symbolic_meta_inplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9718078Z   test_dispatch_symbolic_meta_inplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9718265Z   test_dispatch_symbolic_meta_inplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9718485Z   test_dispatch_symbolic_meta_inplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9718680Z   test_dispatch_symbolic_meta_inplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9718873Z   test_dispatch_symbolic_meta_inplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9719106Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9719315Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9719530Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9719742Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9719956Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9720164Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9720363Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9720570Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9720775Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9720976Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9721183Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9721391Z   test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9721593Z   test_dispatch_symbolic_meta_inplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9721788Z   test_dispatch_symbolic_meta_inplace_cat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9721991Z   test_dispatch_symbolic_meta_inplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9722192Z   test_dispatch_symbolic_meta_inplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9722382Z   test_dispatch_symbolic_meta_inplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9722583Z   test_dispatch_symbolic_meta_inplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9722780Z   test_dispatch_symbolic_meta_inplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9722979Z   test_dispatch_symbolic_meta_inplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9723174Z   test_dispatch_symbolic_meta_inplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9723367Z   test_dispatch_symbolic_meta_inplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9723589Z   test_dispatch_symbolic_meta_inplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9723787Z   test_dispatch_symbolic_meta_inplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9723975Z   test_dispatch_symbolic_meta_inplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9724194Z   test_dispatch_symbolic_meta_inplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9724379Z   test_dispatch_symbolic_meta_inplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9724582Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9724783Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9724993Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9725197Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9725402Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9725601Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9725794Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9725985Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9726184Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9726376Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9726557Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9726756Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9726949Z   test_dispatch_symbolic_meta_inplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9727116Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9727283Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9727451Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9727617Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9727778Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9727942Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9728090Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9728251Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9728404Z   test_dispatch_symbolic_meta_inplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9728607Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9728830Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9729037Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9729262Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9729467Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9729668Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9729862Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9730049Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9730246Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9730437Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9730629Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9730822Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9731020Z   test_dispatch_symbolic_meta_inplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9731222Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9731422Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9731624Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9731829Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732018Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732217Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732410Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732602Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732797Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9732996Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9733194Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9733389Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9733579Z   test_dispatch_symbolic_meta_inplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9733802Z   test_dispatch_symbolic_meta_inplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9733991Z   test_dispatch_symbolic_meta_inplace_char_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9734191Z   test_dispatch_symbolic_meta_inplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9734416Z   test_dispatch_symbolic_meta_inplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9734612Z   test_dispatch_symbolic_meta_inplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9734805Z   test_dispatch_symbolic_meta_inplace_char_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9734998Z   test_dispatch_symbolic_meta_inplace_char_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9735187Z   test_dispatch_symbolic_meta_inplace_char_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9735382Z   test_dispatch_symbolic_meta_inplace_char_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9735578Z   test_dispatch_symbolic_meta_inplace_char_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9735773Z   test_dispatch_symbolic_meta_inplace_char_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9735957Z   test_dispatch_symbolic_meta_inplace_char_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9736153Z   test_dispatch_symbolic_meta_inplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9736366Z   test_dispatch_symbolic_meta_inplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9736573Z   test_dispatch_symbolic_meta_inplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9736780Z   test_dispatch_symbolic_meta_inplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9736983Z   test_dispatch_symbolic_meta_inplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9737195Z   test_dispatch_symbolic_meta_inplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9737410Z   test_dispatch_symbolic_meta_inplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9737621Z   test_dispatch_symbolic_meta_inplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9737834Z   test_dispatch_symbolic_meta_inplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9738043Z   test_dispatch_symbolic_meta_inplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9738250Z   test_dispatch_symbolic_meta_inplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9738456Z   test_dispatch_symbolic_meta_inplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9738663Z   test_dispatch_symbolic_meta_inplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9739009Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9739208Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9739411Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9739648Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9739840Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740036Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740227Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740411Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740605Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740803Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9740996Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9741193Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9741384Z   test_dispatch_symbolic_meta_inplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9741554Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9741720Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9741886Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742055Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742212Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742375Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742537Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742697Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9742856Z   test_dispatch_symbolic_meta_inplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9743030Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9743198Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9743371Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9743536Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9743690Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9743858Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9744021Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9744207Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9744371Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9744539Z   test_dispatch_symbolic_meta_inplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9744731Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9744897Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9745059Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9745224Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9745386Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9745557Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9745722Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9745880Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9746047Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9746209Z   test_dispatch_symbolic_meta_inplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9746409Z   test_dispatch_symbolic_meta_inplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9746600Z   test_dispatch_symbolic_meta_inplace_clone_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9746811Z   test_dispatch_symbolic_meta_inplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747012Z   test_dispatch_symbolic_meta_inplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747207Z   test_dispatch_symbolic_meta_inplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747409Z   test_dispatch_symbolic_meta_inplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747603Z   test_dispatch_symbolic_meta_inplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747791Z   test_dispatch_symbolic_meta_inplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9747984Z   test_dispatch_symbolic_meta_inplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9748182Z   test_dispatch_symbolic_meta_inplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9748378Z   test_dispatch_symbolic_meta_inplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9748578Z   test_dispatch_symbolic_meta_inplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9748763Z   test_dispatch_symbolic_meta_inplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9748970Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9749176Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9749412Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9749621Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9749828Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9750058Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9750319Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9750544Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9750764Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9750961Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9751164Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9751369Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9751566Z   test_dispatch_symbolic_meta_inplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9751770Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9751972Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9752186Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9752393Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9752600Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9752801Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9753001Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9753196Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9753400Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9753599Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9753805Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9754004Z   test_dispatch_symbolic_meta_inplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9754206Z   test_dispatch_symbolic_meta_inplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9754403Z   test_dispatch_symbolic_meta_inplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9754623Z   test_dispatch_symbolic_meta_inplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9754822Z   test_dispatch_symbolic_meta_inplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9755041Z   test_dispatch_symbolic_meta_inplace_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9755232Z   test_dispatch_symbolic_meta_inplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9755430Z   test_dispatch_symbolic_meta_inplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9755624Z   test_dispatch_symbolic_meta_inplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9755823Z   test_dispatch_symbolic_meta_inplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756012Z   test_dispatch_symbolic_meta_inplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756207Z   test_dispatch_symbolic_meta_inplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756403Z   test_dispatch_symbolic_meta_inplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756601Z   test_dispatch_symbolic_meta_inplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756795Z   test_dispatch_symbolic_meta_inplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9756991Z   test_dispatch_symbolic_meta_inplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9757177Z   test_dispatch_symbolic_meta_inplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9757354Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9757530Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9757711Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9757894Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758069Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758243Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758423Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758596Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758763Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9758937Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9759102Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9759276Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9759447Z   test_dispatch_symbolic_meta_inplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9759682Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9759892Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9760109Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9760341Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9760550Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9760750Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9760957Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9761163Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9761368Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9761570Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9761773Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9761972Z   test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9762179Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9762384Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9762591Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9762802Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9763000Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9763203Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9763408Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9763613Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9763818Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9764022Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9764224Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9764422Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9764623Z   test_dispatch_symbolic_meta_inplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9764824Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9765017Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9765189Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9765383Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9765547Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9765746Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9765941Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9766138Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9766334Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9766523Z   test_dispatch_symbolic_meta_inplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9766730Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9766929Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9767139Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9767342Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9767544Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9767743Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9767947Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9768144Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9768336Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9768536Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9768733Z   test_dispatch_symbolic_meta_inplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9768891Z   test_dispatch_symbolic_meta_inplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9769084Z   test_dispatch_symbolic_meta_inplace_cos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9769253Z   test_dispatch_symbolic_meta_inplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9769417Z   test_dispatch_symbolic_meta_inplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9769585Z   test_dispatch_symbolic_meta_inplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9769747Z   test_dispatch_symbolic_meta_inplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9769935Z   test_dispatch_symbolic_meta_inplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9770099Z   test_dispatch_symbolic_meta_inplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9770290Z   test_dispatch_symbolic_meta_inplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9770494Z   test_dispatch_symbolic_meta_inplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9770685Z   test_dispatch_symbolic_meta_inplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9770878Z   test_dispatch_symbolic_meta_inplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9771066Z   test_dispatch_symbolic_meta_inplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9771230Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9771419Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9771592Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9771761Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9771928Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9772085Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9772249Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9772413Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9772611Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9772804Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9772990Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9773180Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9773373Z   test_dispatch_symbolic_meta_inplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9773581Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9773784Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9773992Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9774202Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9774413Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9774619Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9774820Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9775021Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9775250Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9775453Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9775693Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9775892Z   test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9776085Z   test_dispatch_symbolic_meta_inplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9776288Z   test_dispatch_symbolic_meta_inplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9776490Z   test_dispatch_symbolic_meta_inplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9776683Z   test_dispatch_symbolic_meta_inplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9776879Z   test_dispatch_symbolic_meta_inplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9777079Z   test_dispatch_symbolic_meta_inplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9777272Z   test_dispatch_symbolic_meta_inplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9777467Z   test_dispatch_symbolic_meta_inplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9777660Z   test_dispatch_symbolic_meta_inplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9777861Z   test_dispatch_symbolic_meta_inplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9778045Z   test_dispatch_symbolic_meta_inplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9778254Z   test_dispatch_symbolic_meta_inplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9778453Z   test_dispatch_symbolic_meta_inplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9778650Z   test_dispatch_symbolic_meta_inplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9778953Z   test_dispatch_symbolic_meta_inplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9779147Z   test_dispatch_symbolic_meta_inplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9779342Z   test_dispatch_symbolic_meta_inplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9779539Z   test_dispatch_symbolic_meta_inplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9779735Z   test_dispatch_symbolic_meta_inplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9779933Z   test_dispatch_symbolic_meta_inplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9780128Z   test_dispatch_symbolic_meta_inplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9780363Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9780562Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9780763Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9780988Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9781190Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9781391Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9781584Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9781776Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9781970Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9782174Z   test_dispatch_symbolic_meta_inplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9782365Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9782557Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9782757Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9782953Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9783146Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9783344Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9783539Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9783731Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9783923Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9784121Z   test_dispatch_symbolic_meta_inplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9784283Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9784456Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9784631Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9784799Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9784963Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9785124Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9785291Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9785482Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9785650Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9785808Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9786037Z   test_dispatch_symbolic_meta_inplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9786248Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9786459Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9786669Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9786878Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9787082Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9787285Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9787495Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9787694Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9787889Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9788088Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9788290Z   test_dispatch_symbolic_meta_inplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9788510Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9788733Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9788952Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9789169Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9789381Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9789588Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9789801Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9790018Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9790226Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9790513Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9790773Z   test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9790947Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9791144Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9791338Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9791501Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9791662Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9791858Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9792052Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9792236Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9792426Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9792616Z   test_dispatch_symbolic_meta_inplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9792816Z   test_dispatch_symbolic_meta_inplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9793011Z   test_dispatch_symbolic_meta_inplace_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9793215Z   test_dispatch_symbolic_meta_inplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9793421Z   test_dispatch_symbolic_meta_inplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9793619Z   test_dispatch_symbolic_meta_inplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9793818Z   test_dispatch_symbolic_meta_inplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794014Z   test_dispatch_symbolic_meta_inplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794197Z   test_dispatch_symbolic_meta_inplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794394Z   test_dispatch_symbolic_meta_inplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794595Z   test_dispatch_symbolic_meta_inplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794793Z   test_dispatch_symbolic_meta_inplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9794990Z   test_dispatch_symbolic_meta_inplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9795190Z   test_dispatch_symbolic_meta_inplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9795395Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9795597Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9795804Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9796038Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9796237Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9796462Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9796669Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9796873Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9797076Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9797278Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9797480Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9797681Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9797880Z   test_dispatch_symbolic_meta_inplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9798083Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9798274Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9798482Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9798690Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9798891Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9799093Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9799293Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9799495Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9799692Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9799884Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9800085Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9800281Z   test_dispatch_symbolic_meta_inplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9800484Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9800692Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9800903Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9801140Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9801352Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9801586Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9801795Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9801997Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9802201Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9802408Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9802604Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9802810Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9803012Z   test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9803217Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9803419Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9803627Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9803833Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9804038Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9804242Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9804443Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9804645Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9804839Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9805032Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9805223Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9805424Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9805617Z   test_dispatch_symbolic_meta_inplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9805828Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9806061Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9806276Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9806484Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9806718Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9806919Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9807127Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9807335Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9807543Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9807744Z   test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9807943Z   test_dispatch_symbolic_meta_inplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9808140Z   test_dispatch_symbolic_meta_inplace_diff_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9808342Z   test_dispatch_symbolic_meta_inplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9808541Z   test_dispatch_symbolic_meta_inplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9808745Z   test_dispatch_symbolic_meta_inplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9808937Z   test_dispatch_symbolic_meta_inplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9809123Z   test_dispatch_symbolic_meta_inplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9809319Z   test_dispatch_symbolic_meta_inplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9809515Z   test_dispatch_symbolic_meta_inplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9809711Z   test_dispatch_symbolic_meta_inplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9809908Z   test_dispatch_symbolic_meta_inplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9810102Z   test_dispatch_symbolic_meta_inplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9810299Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9810475Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9810640Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9810793Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9810987Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9811207Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9811398Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9811590Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9811815Z   test_dispatch_symbolic_meta_inplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9812016Z   test_dispatch_symbolic_meta_inplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9812219Z   test_dispatch_symbolic_meta_inplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9812419Z   test_dispatch_symbolic_meta_inplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9812617Z   test_dispatch_symbolic_meta_inplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9812802Z   test_dispatch_symbolic_meta_inplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9812993Z   test_dispatch_symbolic_meta_inplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9813175Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9813355Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9813536Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:55.9813714Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:55.9813893Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9814071Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9814246Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:55.9814424Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9814588Z   test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9814773Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9814988Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9815178Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9815366Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9815549Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9815733Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9815914Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9816090Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9825877Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9826197Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9826408Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9826648Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9826859Z   test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9827035Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9827219Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9827398Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9827571Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9827750Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9827931Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9828104Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9828281Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:55.9828449Z   test_dispatch_symbolic_meta_inplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9828650Z   test_dispatch_symbolic_meta_inplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9828851Z   test_dispatch_symbolic_meta_inplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9829050Z   test_dispatch_symbolic_meta_inplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9829247Z   test_dispatch_symbolic_meta_inplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9829441Z   test_dispatch_symbolic_meta_inplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9829636Z   test_dispatch_symbolic_meta_inplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9829836Z   test_dispatch_symbolic_meta_inplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9830033Z   test_dispatch_symbolic_meta_inplace_double_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9830237Z   test_dispatch_symbolic_meta_inplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9830544Z   test_dispatch_symbolic_meta_inplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9830766Z   test_dispatch_symbolic_meta_inplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9830988Z   test_dispatch_symbolic_meta_inplace_double_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9831181Z   test_dispatch_symbolic_meta_inplace_double_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9831400Z   test_dispatch_symbolic_meta_inplace_double_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9831598Z   test_dispatch_symbolic_meta_inplace_double_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9831793Z   test_dispatch_symbolic_meta_inplace_double_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9832013Z   test_dispatch_symbolic_meta_inplace_double_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9832210Z   test_dispatch_symbolic_meta_inplace_double_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9832411Z   test_dispatch_symbolic_meta_inplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9832613Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9832812Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9833009Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9833214Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9833422Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9833623Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9833821Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834015Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834213Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834409Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834602Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834798Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9834985Z   test_dispatch_symbolic_meta_inplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9835192Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9835390Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9835596Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9835803Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9836007Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9836208Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9836405Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9836623Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9836822Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9837040Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9837224Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9837420Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9837619Z   test_dispatch_symbolic_meta_inplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9837824Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9838033Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9838239Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9838439Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9838634Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9838826Z   test_dispatch_symbolic_meta_inplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9839022Z   test_dispatch_symbolic_meta_inplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9839216Z   test_dispatch_symbolic_meta_inplace_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9839418Z   test_dispatch_symbolic_meta_inplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9839624Z   test_dispatch_symbolic_meta_inplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9839823Z   test_dispatch_symbolic_meta_inplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9840025Z   test_dispatch_symbolic_meta_inplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9840221Z   test_dispatch_symbolic_meta_inplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9840418Z   test_dispatch_symbolic_meta_inplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9840615Z   test_dispatch_symbolic_meta_inplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9840814Z   test_dispatch_symbolic_meta_inplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9841011Z   test_dispatch_symbolic_meta_inplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9841204Z   test_dispatch_symbolic_meta_inplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9841399Z   test_dispatch_symbolic_meta_inplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9841629Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9841837Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9842046Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9842279Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9842489Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9842697Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9842909Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9843139Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9843364Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9843562Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9843767Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9843966Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9844169Z   test_dispatch_symbolic_meta_inplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9844334Z   test_dispatch_symbolic_meta_inplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9844496Z   test_dispatch_symbolic_meta_inplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9844669Z   test_dispatch_symbolic_meta_inplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9844836Z   test_dispatch_symbolic_meta_inplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845002Z   test_dispatch_symbolic_meta_inplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845157Z   test_dispatch_symbolic_meta_inplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845318Z   test_dispatch_symbolic_meta_inplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845474Z   test_dispatch_symbolic_meta_inplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845636Z   test_dispatch_symbolic_meta_inplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845796Z   test_dispatch_symbolic_meta_inplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9845954Z   test_dispatch_symbolic_meta_inplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9846117Z   test_dispatch_symbolic_meta_inplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9846271Z   test_dispatch_symbolic_meta_inplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9846477Z   test_dispatch_symbolic_meta_inplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9846669Z   test_dispatch_symbolic_meta_inplace_equal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9846897Z   test_dispatch_symbolic_meta_inplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9847100Z   test_dispatch_symbolic_meta_inplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9847300Z   test_dispatch_symbolic_meta_inplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9847521Z   test_dispatch_symbolic_meta_inplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9847712Z   test_dispatch_symbolic_meta_inplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9847914Z   test_dispatch_symbolic_meta_inplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9848113Z   test_dispatch_symbolic_meta_inplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9848312Z   test_dispatch_symbolic_meta_inplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9848509Z   test_dispatch_symbolic_meta_inplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9848703Z   test_dispatch_symbolic_meta_inplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9848870Z   test_dispatch_symbolic_meta_inplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9849065Z   test_dispatch_symbolic_meta_inplace_erf_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9849230Z   test_dispatch_symbolic_meta_inplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9849394Z   test_dispatch_symbolic_meta_inplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9849564Z   test_dispatch_symbolic_meta_inplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9849759Z   test_dispatch_symbolic_meta_inplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9849951Z   test_dispatch_symbolic_meta_inplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9850148Z   test_dispatch_symbolic_meta_inplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9850332Z   test_dispatch_symbolic_meta_inplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9850519Z   test_dispatch_symbolic_meta_inplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9850688Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9850878Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9851045Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9851213Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9851378Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9851571Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9851764Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9851942Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9852155Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9852344Z   test_dispatch_symbolic_meta_inplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9852541Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9852732Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9852900Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9853069Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9853264Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9853461Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9853650Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9853834Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9854023Z   test_dispatch_symbolic_meta_inplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9854192Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9854384Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9854546Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9854710Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9854875Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9855064Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9855258Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9855435Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9855624Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9855817Z   test_dispatch_symbolic_meta_inplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9855978Z   test_dispatch_symbolic_meta_inplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9856174Z   test_dispatch_symbolic_meta_inplace_exp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9856344Z   test_dispatch_symbolic_meta_inplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9856513Z   test_dispatch_symbolic_meta_inplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9856683Z   test_dispatch_symbolic_meta_inplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9856850Z   test_dispatch_symbolic_meta_inplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9857006Z   test_dispatch_symbolic_meta_inplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9857170Z   test_dispatch_symbolic_meta_inplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9857390Z   test_dispatch_symbolic_meta_inplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9857581Z   test_dispatch_symbolic_meta_inplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9857771Z   test_dispatch_symbolic_meta_inplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9857996Z   test_dispatch_symbolic_meta_inplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9858184Z   test_dispatch_symbolic_meta_inplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9858393Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9858597Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9858953Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9859157Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9859366Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9859571Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9859777Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9859980Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9860182Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9860374Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9860577Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9860773Z   test_dispatch_symbolic_meta_inplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9860967Z   test_dispatch_symbolic_meta_inplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9861158Z   test_dispatch_symbolic_meta_inplace_expand_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9861363Z   test_dispatch_symbolic_meta_inplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9861571Z   test_dispatch_symbolic_meta_inplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9861773Z   test_dispatch_symbolic_meta_inplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9861970Z   test_dispatch_symbolic_meta_inplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9862166Z   test_dispatch_symbolic_meta_inplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9862365Z   test_dispatch_symbolic_meta_inplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9862558Z   test_dispatch_symbolic_meta_inplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9862794Z   test_dispatch_symbolic_meta_inplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9862995Z   test_dispatch_symbolic_meta_inplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9863222Z   test_dispatch_symbolic_meta_inplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9863382Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9863579Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9863746Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9863911Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9864081Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9864273Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9864467Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9864656Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9864850Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9865029Z   test_dispatch_symbolic_meta_inplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9865233Z   test_dispatch_symbolic_meta_inplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9865437Z   test_dispatch_symbolic_meta_inplace_eye_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9865641Z   test_dispatch_symbolic_meta_inplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9865846Z   test_dispatch_symbolic_meta_inplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9866045Z   test_dispatch_symbolic_meta_inplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9866248Z   test_dispatch_symbolic_meta_inplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9866444Z   test_dispatch_symbolic_meta_inplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9866643Z   test_dispatch_symbolic_meta_inplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9866838Z   test_dispatch_symbolic_meta_inplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9867027Z   test_dispatch_symbolic_meta_inplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9867227Z   test_dispatch_symbolic_meta_inplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9867419Z   test_dispatch_symbolic_meta_inplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9867620Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9867826Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9868059Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9868266Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9868494Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9868696Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9868897Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9869089Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9869285Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9869477Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9869677Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9869868Z   test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9870066Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9870336Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9870548Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9870753Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9870958Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9871158Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9871345Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9871547Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9871741Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9871935Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9872132Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9872329Z   test_dispatch_symbolic_meta_inplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9872521Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9872725Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9872929Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9873177Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9873406Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9873633Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9873836Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9874036Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9874232Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9874428Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9874627Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9874823Z   test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9875034Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9875236Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9875442Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9875658Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9875867Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9876074Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9876284Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9876487Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9876694Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9876899Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9877103Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9877303Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9877506Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9877699Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9877908Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9878114Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9878364Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9878568Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9878798Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9878998Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9879197Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9879391Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9879588Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9879780Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9879975Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9880175Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9880380Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9880583Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9880792Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9880994Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9881196Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9881399Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9881599Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9881794Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9881981Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9882180Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9882373Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9882574Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9882782Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9882986Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9883197Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9883424Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9883626Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9883853Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9884046Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9884240Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9884434Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9884634Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9884827Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9885025Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9885234Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9885437Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9885644Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9885848Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9886050Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9886244Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9886441Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9886637Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9886830Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9887033Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9887226Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9887425Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9887634Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9887838Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9888043Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9888262Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9888464Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9888665Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9888884Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9889077Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9889269Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9889467Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9889667Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9889859Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9890067Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9890263Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9890467Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9890667Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9890871Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9891069Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9891269Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9891469Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9891665Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9891866Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9892061Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9892272Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9892469Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9892687Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9892898Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9893110Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9893340Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9893549Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9893750Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9893986Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9894192Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9894395Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9894596Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9894795Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9894995Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9895201Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9895403Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9895605Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9895806Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9896008Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9896207Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9896410Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9896609Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9896803Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897005Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897209Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897410Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897612Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897805Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9897996Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9898196Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9898411Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9898607Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9898915Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9899165Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9899367Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9899568Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9899771Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9899975Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9900173Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9900376Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9900575Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9900782Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9900991Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9901188Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9901389Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9901595Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9901796Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9901996Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9902194Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9902394Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9902592Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9902792Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9902994Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9903194Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9903400Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9903639Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9903845Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9904069Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9904275Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9904473Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9904668Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9904863Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9905065Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9905258Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9905448Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9905658Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9905865Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9906078Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9906282Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9906483Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9906688Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9906888Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9907090Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9907285Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9907475Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9907671Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9907879Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9908082Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9908287Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9908487Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9908706Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9908900Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9909114Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9909305Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9909496Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9909695Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9909898Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9910098Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9910362Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9910562Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9910760Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9910954Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9911155Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9911342Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9911535Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9911740Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9911943Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9912145Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9912345Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9912543Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9912737Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9912940Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9913137Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9913303Z   test_dispatch_symbolic_meta_inplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9913462Z   test_dispatch_symbolic_meta_inplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9913632Z   test_dispatch_symbolic_meta_inplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9913830Z   test_dispatch_symbolic_meta_inplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914000Z   test_dispatch_symbolic_meta_inplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914169Z   test_dispatch_symbolic_meta_inplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914357Z   test_dispatch_symbolic_meta_inplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914522Z   test_dispatch_symbolic_meta_inplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914686Z   test_dispatch_symbolic_meta_inplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914840Z   test_dispatch_symbolic_meta_inplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9914998Z   test_dispatch_symbolic_meta_inplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9915162Z   test_dispatch_symbolic_meta_inplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9915322Z   test_dispatch_symbolic_meta_inplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9915527Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9915735Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9915942Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9916148Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9916355Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9916557Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9916746Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9916941Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9917142Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9917337Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9917531Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9917732Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9917924Z   test_dispatch_symbolic_meta_inplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9918119Z   test_dispatch_symbolic_meta_inplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9918317Z   test_dispatch_symbolic_meta_inplace_flip_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9918517Z   test_dispatch_symbolic_meta_inplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9918713Z   test_dispatch_symbolic_meta_inplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9918936Z   test_dispatch_symbolic_meta_inplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9919133Z   test_dispatch_symbolic_meta_inplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9919325Z   test_dispatch_symbolic_meta_inplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9919551Z   test_dispatch_symbolic_meta_inplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9919755Z   test_dispatch_symbolic_meta_inplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9919953Z   test_dispatch_symbolic_meta_inplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9920147Z   test_dispatch_symbolic_meta_inplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9920346Z   test_dispatch_symbolic_meta_inplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9920548Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9920741Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9920951Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9921154Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9921356Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9921554Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9921747Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9921943Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9922144Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9922339Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9922533Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9922735Z   test_dispatch_symbolic_meta_inplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9922930Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9923130Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9923340Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9923544Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9923746Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9923942Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9924160Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9924379Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9924615Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9924825Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9925032Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9925249Z   test_dispatch_symbolic_meta_inplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9925474Z   test_dispatch_symbolic_meta_inplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9925694Z   test_dispatch_symbolic_meta_inplace_float_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9925918Z   test_dispatch_symbolic_meta_inplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9926146Z   test_dispatch_symbolic_meta_inplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9926370Z   test_dispatch_symbolic_meta_inplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9926588Z   test_dispatch_symbolic_meta_inplace_float_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9926806Z   test_dispatch_symbolic_meta_inplace_float_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9927017Z   test_dispatch_symbolic_meta_inplace_float_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9927226Z   test_dispatch_symbolic_meta_inplace_float_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9927449Z   test_dispatch_symbolic_meta_inplace_float_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9927666Z   test_dispatch_symbolic_meta_inplace_float_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9927882Z   test_dispatch_symbolic_meta_inplace_float_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9928095Z   test_dispatch_symbolic_meta_inplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9928336Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9928569Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9928816Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9929056Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9929291Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9929524Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9929770Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9930003Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9930264Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9930488Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9930718Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9930941Z   test_dispatch_symbolic_meta_inplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Function is in dispatch early skips (0.001s)
2022-11-23T01:45:55.9931127Z   test_dispatch_symbolic_meta_inplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9931311Z   test_dispatch_symbolic_meta_inplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9931495Z   test_dispatch_symbolic_meta_inplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9931671Z   test_dispatch_symbolic_meta_inplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9931850Z   test_dispatch_symbolic_meta_inplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9932027Z   test_dispatch_symbolic_meta_inplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9932203Z   test_dispatch_symbolic_meta_inplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9932380Z   test_dispatch_symbolic_meta_inplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9932556Z   test_dispatch_symbolic_meta_inplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:55.9932750Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9932947Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:55.9933142Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9933326Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:55.9933511Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9933691Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9933869Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:55.9934057Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:55.9934234Z   test_dispatch_symbolic_meta_inplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9934456Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9934678Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9934901Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9935116Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9935320Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9935562Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9935783Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9936022Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9936239Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9936451Z   test_dispatch_symbolic_meta_inplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9936674Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9936895Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9937114Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9937327Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9937532Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9937749Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9937964Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9938175Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9938389Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9938602Z   test_dispatch_symbolic_meta_inplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9938903Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9939073Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9939239Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9939396Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9939563Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9939728Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:55.9939886Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9940050Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9940214Z   test_dispatch_symbolic_meta_inplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9940379Z   test_dispatch_symbolic_meta_inplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9940545Z   test_dispatch_symbolic_meta_inplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9940710Z   test_dispatch_symbolic_meta_inplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9940864Z   test_dispatch_symbolic_meta_inplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9941104Z   test_dispatch_symbolic_meta_inplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9941302Z   test_dispatch_symbolic_meta_inplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9941496Z   test_dispatch_symbolic_meta_inplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9941715Z   test_dispatch_symbolic_meta_inplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9941908Z   test_dispatch_symbolic_meta_inplace_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9942110Z   test_dispatch_symbolic_meta_inplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9942311Z   test_dispatch_symbolic_meta_inplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9942511Z   test_dispatch_symbolic_meta_inplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9942710Z   test_dispatch_symbolic_meta_inplace_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9942897Z   test_dispatch_symbolic_meta_inplace_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9943086Z   test_dispatch_symbolic_meta_inplace_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9943281Z   test_dispatch_symbolic_meta_inplace_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9943479Z   test_dispatch_symbolic_meta_inplace_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9943675Z   test_dispatch_symbolic_meta_inplace_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9943868Z   test_dispatch_symbolic_meta_inplace_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9944060Z   test_dispatch_symbolic_meta_inplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9944273Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9944471Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9944679Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9944879Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9945083Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9945285Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9945491Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9945691Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9945886Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9946079Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9946303Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9946497Z   test_dispatch_symbolic_meta_inplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9946713Z   test_dispatch_symbolic_meta_inplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9946904Z   test_dispatch_symbolic_meta_inplace_gather_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9947107Z   test_dispatch_symbolic_meta_inplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9947311Z   test_dispatch_symbolic_meta_inplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9947518Z   test_dispatch_symbolic_meta_inplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9947714Z   test_dispatch_symbolic_meta_inplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9947909Z   test_dispatch_symbolic_meta_inplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9948108Z   test_dispatch_symbolic_meta_inplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9948301Z   test_dispatch_symbolic_meta_inplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9948493Z   test_dispatch_symbolic_meta_inplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9948694Z   test_dispatch_symbolic_meta_inplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9948891Z   test_dispatch_symbolic_meta_inplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9949047Z   test_dispatch_symbolic_meta_inplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9949211Z   test_dispatch_symbolic_meta_inplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9949369Z   test_dispatch_symbolic_meta_inplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9949529Z   test_dispatch_symbolic_meta_inplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9949694Z   test_dispatch_symbolic_meta_inplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9949857Z   test_dispatch_symbolic_meta_inplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9950022Z   test_dispatch_symbolic_meta_inplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9950183Z   test_dispatch_symbolic_meta_inplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9950402Z   test_dispatch_symbolic_meta_inplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9950563Z   test_dispatch_symbolic_meta_inplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9950724Z   test_dispatch_symbolic_meta_inplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9950883Z   test_dispatch_symbolic_meta_inplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9951039Z   test_dispatch_symbolic_meta_inplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9951198Z   test_dispatch_symbolic_meta_inplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9951352Z   test_dispatch_symbolic_meta_inplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9951584Z   test_dispatch_symbolic_meta_inplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9951790Z   test_dispatch_symbolic_meta_inplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9952012Z   test_dispatch_symbolic_meta_inplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9952209Z   test_dispatch_symbolic_meta_inplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9952415Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9952625Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9952838Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9953041Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9953249Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9953451Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9953653Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9953848Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9954044Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9954239Z   test_dispatch_symbolic_meta_inplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9954452Z   test_dispatch_symbolic_meta_inplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9954667Z   test_dispatch_symbolic_meta_inplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9954872Z   test_dispatch_symbolic_meta_inplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9955037Z   test_dispatch_symbolic_meta_inplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9955196Z   test_dispatch_symbolic_meta_inplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9955359Z   test_dispatch_symbolic_meta_inplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9955520Z   test_dispatch_symbolic_meta_inplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9955678Z   test_dispatch_symbolic_meta_inplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9955831Z   test_dispatch_symbolic_meta_inplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9955991Z   test_dispatch_symbolic_meta_inplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9956144Z   test_dispatch_symbolic_meta_inplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9956304Z   test_dispatch_symbolic_meta_inplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9956455Z   test_dispatch_symbolic_meta_inplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9956680Z   test_dispatch_symbolic_meta_inplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9956879Z   test_dispatch_symbolic_meta_inplace_half_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9957084Z   test_dispatch_symbolic_meta_inplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9957311Z   test_dispatch_symbolic_meta_inplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9957504Z   test_dispatch_symbolic_meta_inplace_half_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9957698Z   test_dispatch_symbolic_meta_inplace_half_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9957889Z   test_dispatch_symbolic_meta_inplace_half_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9958088Z   test_dispatch_symbolic_meta_inplace_half_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9958287Z   test_dispatch_symbolic_meta_inplace_half_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9958485Z   test_dispatch_symbolic_meta_inplace_half_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9958677Z   test_dispatch_symbolic_meta_inplace_half_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9958871Z   test_dispatch_symbolic_meta_inplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9959047Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9959218Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9959386Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9959555Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9959723Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9959892Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9960057Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9960221Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9960387Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9960559Z   test_dispatch_symbolic_meta_inplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:55.9960759Z   test_dispatch_symbolic_meta_inplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9960946Z   test_dispatch_symbolic_meta_inplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9961144Z   test_dispatch_symbolic_meta_inplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9961345Z   test_dispatch_symbolic_meta_inplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9961542Z   test_dispatch_symbolic_meta_inplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9961741Z   test_dispatch_symbolic_meta_inplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9961973Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9962169Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9962400Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9962604Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9962810Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963006Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963204Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963398Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963598Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963793Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9963985Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9964180Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9964381Z   test_dispatch_symbolic_meta_inplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9964579Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9964773Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9964974Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9965175Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9965378Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9965582Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9965782Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9965974Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9966172Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9966367Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9966558Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9966753Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9966978Z   test_dispatch_symbolic_meta_inplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9967140Z   test_dispatch_symbolic_meta_inplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9967308Z   test_dispatch_symbolic_meta_inplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9967510Z   test_dispatch_symbolic_meta_inplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9967675Z   test_dispatch_symbolic_meta_inplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9967839Z   test_dispatch_symbolic_meta_inplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9968033Z   test_dispatch_symbolic_meta_inplace_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:55.9968195Z   test_dispatch_symbolic_meta_inplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9968356Z   test_dispatch_symbolic_meta_inplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9968512Z   test_dispatch_symbolic_meta_inplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:55.9968696Z   test_dispatch_symbolic_meta_inplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9968889Z   test_dispatch_symbolic_meta_inplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9969079Z   test_dispatch_symbolic_meta_inplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9969270Z   test_dispatch_symbolic_meta_inplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9969454Z   test_dispatch_symbolic_meta_inplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:55.9969625Z   test_dispatch_symbolic_meta_inplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9969792Z   test_dispatch_symbolic_meta_inplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9969962Z   test_dispatch_symbolic_meta_inplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9970130Z   test_dispatch_symbolic_meta_inplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9970330Z   test_dispatch_symbolic_meta_inplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9970536Z   test_dispatch_symbolic_meta_inplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9970733Z   test_dispatch_symbolic_meta_inplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9970910Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9971077Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:55.9971257Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9971437Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9971611Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9971782Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:55.9971940Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972103Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972291Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972457Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972617Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972803Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9972972Z   test_dispatch_symbolic_meta_inplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:55.9973143Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9973306Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9973476Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9973651Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9973823Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9973990Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974157Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974335Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974501Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974665Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974829Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9974988Z   test_dispatch_symbolic_meta_inplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9975161Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9975327Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9975506Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9975682Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9975853Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976017Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976185Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976357Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976512Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976675Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9976845Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9977006Z   test_dispatch_symbolic_meta_inplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:55.9977174Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9977339Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9977516Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9977716Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9977890Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9978054Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9978259Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9978422Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9978586Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9978749Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9979022Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9979195Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:55.9979364Z   test_dispatch_symbolic_meta_inplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:55.9979534Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9979712Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9979883Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980058Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980228Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980396Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980562Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980733Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9980903Z   test_dispatch_symbolic_meta_inplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:55.9981105Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9981314Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9981528Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9981743Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9981957Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9982164Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9982370Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9982572Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9982780Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9983028Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9983235Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9983430Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9983662Z   test_dispatch_symbolic_meta_inplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9983864Z   test_dispatch_symbolic_meta_inplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9984068Z   test_dispatch_symbolic_meta_inplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9984273Z   test_dispatch_symbolic_meta_inplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9984475Z   test_dispatch_symbolic_meta_inplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9984671Z   test_dispatch_symbolic_meta_inplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9984866Z   test_dispatch_symbolic_meta_inplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9985067Z   test_dispatch_symbolic_meta_inplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9985264Z   test_dispatch_symbolic_meta_inplace_int_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9985456Z   test_dispatch_symbolic_meta_inplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9985657Z   test_dispatch_symbolic_meta_inplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9985853Z   test_dispatch_symbolic_meta_inplace_int_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9986053Z   test_dispatch_symbolic_meta_inplace_int_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9986253Z   test_dispatch_symbolic_meta_inplace_int_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9986447Z   test_dispatch_symbolic_meta_inplace_int_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9986640Z   test_dispatch_symbolic_meta_inplace_int_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9986837Z   test_dispatch_symbolic_meta_inplace_int_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9987034Z   test_dispatch_symbolic_meta_inplace_int_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9987225Z   test_dispatch_symbolic_meta_inplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9987424Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9987624Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9987834Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9988037Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9988260Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9988458Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9988672Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9988871Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9989067Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9989263Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9989462Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9989655Z   test_dispatch_symbolic_meta_inplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9989854Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9990052Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9990313Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9990551Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9990767Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9990967Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9991169Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9991374Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9991576Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9991764Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9991957Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9992159Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9992352Z   test_dispatch_symbolic_meta_inplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9992551Z   test_dispatch_symbolic_meta_inplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9992742Z   test_dispatch_symbolic_meta_inplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9992932Z   test_dispatch_symbolic_meta_inplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9993129Z   test_dispatch_symbolic_meta_inplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9993354Z   test_dispatch_symbolic_meta_inplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9993551Z   test_dispatch_symbolic_meta_inplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9993739Z   test_dispatch_symbolic_meta_inplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9993955Z   test_dispatch_symbolic_meta_inplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9994156Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9994350Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9994553Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9994756Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9994949Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9995150Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9995342Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9995532Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9995719Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9995919Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9996114Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9996310Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9996504Z   test_dispatch_symbolic_meta_inplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9996704Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9996900Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9997104Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9997304Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9997500Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9997693Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9997877Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9998072Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9998270Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9998492Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9998688Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9998902Z   test_dispatch_symbolic_meta_inplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9999107Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9999304Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9999505Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9999710Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:55.9999907Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0000110Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0000308Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0000500Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0000698Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0000892Z   test_dispatch_symbolic_meta_inplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0001093Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0001288Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0001490Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0001691Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0001883Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0002081Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0002274Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0002471Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0002670Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0002870Z   test_dispatch_symbolic_meta_inplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0003071Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0003267Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0003497Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0003696Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0003923Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0004120Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0004312Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0004502Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0004701Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0004893Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0005084Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0005285Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0005484Z   test_dispatch_symbolic_meta_inplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0005685Z   test_dispatch_symbolic_meta_inplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0005887Z   test_dispatch_symbolic_meta_inplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0006101Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0006320Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0006547Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0006773Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0006991Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0007212Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0007429Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0007647Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0007862Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0008077Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0008292Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0008523Z   test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0008762Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0009010Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0009237Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0009461Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0009688Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0009912Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0010136Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0010361Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0010582Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0010796Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0011017Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0011223Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0011437Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0011646Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0011859Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0012072Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0012283Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0012493Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0012705Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0012911Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0013118Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0013341Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0013542Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0013748Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0013990Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0014211Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0014438Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0014668Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0014893Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0015118Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0015334Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0015552Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0015771Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0015980Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0016197Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0016418Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0016629Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0016840Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0017056Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0017268Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0017478Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0017690Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0017890Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0018097Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0018319Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0018524Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0018740Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0019169Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0019403Z   test_dispatch_symbolic_meta_inplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0019607Z   test_dispatch_symbolic_meta_inplace_kron_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0019815Z   test_dispatch_symbolic_meta_inplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0020030Z   test_dispatch_symbolic_meta_inplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0020230Z   test_dispatch_symbolic_meta_inplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0020425Z   test_dispatch_symbolic_meta_inplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0020615Z   test_dispatch_symbolic_meta_inplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0020804Z   test_dispatch_symbolic_meta_inplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021000Z   test_dispatch_symbolic_meta_inplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021199Z   test_dispatch_symbolic_meta_inplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021391Z   test_dispatch_symbolic_meta_inplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021582Z   test_dispatch_symbolic_meta_inplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021786Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0021988Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0022188Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0022394Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0022591Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0022776Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0022978Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0023169Z   test_dispatch_symbolic_meta_inplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0023333Z   test_dispatch_symbolic_meta_inplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0023495Z   test_dispatch_symbolic_meta_inplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0023724Z   test_dispatch_symbolic_meta_inplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0023885Z   test_dispatch_symbolic_meta_inplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0024042Z   test_dispatch_symbolic_meta_inplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0024215Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0024429Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0024601Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0024771Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0024937Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0025107Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0025271Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0025470Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0025673Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0025864Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0026049Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0026238Z   test_dispatch_symbolic_meta_inplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0026405Z   test_dispatch_symbolic_meta_inplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0026567Z   test_dispatch_symbolic_meta_inplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0026730Z   test_dispatch_symbolic_meta_inplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0026891Z   test_dispatch_symbolic_meta_inplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027051Z   test_dispatch_symbolic_meta_inplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027209Z   test_dispatch_symbolic_meta_inplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027367Z   test_dispatch_symbolic_meta_inplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027512Z   test_dispatch_symbolic_meta_inplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027670Z   test_dispatch_symbolic_meta_inplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027824Z   test_dispatch_symbolic_meta_inplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0027990Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0028159Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0028330Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0028497Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0028661Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0028819Z   test_dispatch_symbolic_meta_inplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0029014Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0029209Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0029380Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0029544Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0029762Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0029957Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0030147Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0030415Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0030626Z   test_dispatch_symbolic_meta_inplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0030836Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0031053Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0031263Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0031471Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0031687Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0031905Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0032117Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0032333Z   test_dispatch_symbolic_meta_inplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0032543Z   test_dispatch_symbolic_meta_inplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0032754Z   test_dispatch_symbolic_meta_inplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0032958Z   test_dispatch_symbolic_meta_inplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0033156Z   test_dispatch_symbolic_meta_inplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0033366Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0033580Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0033824Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0034040Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0034237Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0034465Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0034673Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0034897Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0035100Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0035292Z   test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0035502Z   test_dispatch_symbolic_meta_inplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0035713Z   test_dispatch_symbolic_meta_inplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0035915Z   test_dispatch_symbolic_meta_inplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0036116Z   test_dispatch_symbolic_meta_inplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0036337Z   test_dispatch_symbolic_meta_inplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0036551Z   test_dispatch_symbolic_meta_inplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0036762Z   test_dispatch_symbolic_meta_inplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0036979Z   test_dispatch_symbolic_meta_inplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0037185Z   test_dispatch_symbolic_meta_inplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0037391Z   test_dispatch_symbolic_meta_inplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0037588Z   test_dispatch_symbolic_meta_inplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0037787Z   test_dispatch_symbolic_meta_inplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0037997Z   test_dispatch_symbolic_meta_inplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0038204Z   test_dispatch_symbolic_meta_inplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0038409Z   test_dispatch_symbolic_meta_inplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0038613Z   test_dispatch_symbolic_meta_inplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0038827Z   test_dispatch_symbolic_meta_inplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0039039Z   test_dispatch_symbolic_meta_inplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0039247Z   test_dispatch_symbolic_meta_inplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0039481Z   test_dispatch_symbolic_meta_inplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0039697Z   test_dispatch_symbolic_meta_inplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0039903Z   test_dispatch_symbolic_meta_inplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0040146Z   test_dispatch_symbolic_meta_inplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0040358Z   test_dispatch_symbolic_meta_inplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0040584Z   test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0040812Z   test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0041032Z   test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0041255Z   test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0041463Z   test_dispatch_symbolic_meta_inplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0041671Z   test_dispatch_symbolic_meta_inplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0041875Z   test_dispatch_symbolic_meta_inplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0042080Z   test_dispatch_symbolic_meta_inplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0042285Z   test_dispatch_symbolic_meta_inplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0042497Z   test_dispatch_symbolic_meta_inplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0042703Z   test_dispatch_symbolic_meta_inplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0042907Z   test_dispatch_symbolic_meta_inplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0043123Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0043336Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0043547Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0043758Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0043975Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0044191Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0044403Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0044623Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0044835Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0045074Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0045281Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0045488Z   test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0045699Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0045909Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0046115Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0046321Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0046545Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0046767Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0046982Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0047201Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0047405Z   test_dispatch_symbolic_meta_inplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0047615Z   test_dispatch_symbolic_meta_inplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0047821Z   test_dispatch_symbolic_meta_inplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0048026Z   test_dispatch_symbolic_meta_inplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0048238Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0048453Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0048662Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0048874Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0049082Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0049295Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0049524Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0049738Z   test_dispatch_symbolic_meta_inplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0049950Z   test_dispatch_symbolic_meta_inplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0050182Z   test_dispatch_symbolic_meta_inplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0050389Z   test_dispatch_symbolic_meta_inplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0050594Z   test_dispatch_symbolic_meta_inplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0050804Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0051018Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0051230Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0051434Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0051644Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0051854Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0052074Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0052289Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0052498Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0052711Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0052926Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0053137Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0053346Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0053551Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0053770Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0053995Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0054215Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0054437Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0054674Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0054884Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0055115Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0055322Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0055530Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0055742Z   test_dispatch_symbolic_meta_inplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0055950Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0056157Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0056358Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0056562Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0056764Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0056967Z   test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0057200Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0057427Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0057662Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0057892Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0058118Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0058344Z   test_dispatch_symbolic_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0058551Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0058752Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0059086Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0059289Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0059511Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0059768Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0059986Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0060231Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0060479Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.0060722Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.0060965Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.0061207Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.0061411Z   test_dispatch_symbolic_meta_inplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0061616Z   test_dispatch_symbolic_meta_inplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0061819Z   test_dispatch_symbolic_meta_inplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0062026Z   test_dispatch_symbolic_meta_inplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0062242Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0062454Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0062667Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0062873Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0063083Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0063319Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0063547Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0063746Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0063965Z   test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0064182Z   test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0064390Z   test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0064595Z   test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0064844Z   test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0065068Z   test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0065305Z   test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0065516Z   test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0065724Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0065929Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0066132Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0066340Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0066556Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0066768Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0066975Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0067180Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0067395Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0067610Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0067820Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0068029Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0068246Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0068454Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0068669Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0068879Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0069090Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0069299Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0069505Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0069712Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0069940Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0070148Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0070438Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0070645Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0070838Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0071051Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0071261Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0071468Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0071677Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0071880Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0072080Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0072290Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0072509Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0072720Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0072925Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0073136Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0073347Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0073554Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0073764Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0073971Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0074177Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0074380Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0074582Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0074783Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0075004Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0075191Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0075390Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0075618Z   test_dispatch_symbolic_meta_inplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0075786Z   test_dispatch_symbolic_meta_inplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0075980Z   test_dispatch_symbolic_meta_inplace_log10_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0076152Z   test_dispatch_symbolic_meta_inplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0076323Z   test_dispatch_symbolic_meta_inplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0076490Z   test_dispatch_symbolic_meta_inplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0076654Z   test_dispatch_symbolic_meta_inplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0076815Z   test_dispatch_symbolic_meta_inplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0077007Z   test_dispatch_symbolic_meta_inplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0077200Z   test_dispatch_symbolic_meta_inplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0077385Z   test_dispatch_symbolic_meta_inplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0077576Z   test_dispatch_symbolic_meta_inplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0077762Z   test_dispatch_symbolic_meta_inplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0077933Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0078128Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0078291Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0078455Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0078612Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0078799Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0078991Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0079174Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0079365Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0079550Z   test_dispatch_symbolic_meta_inplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0079715Z   test_dispatch_symbolic_meta_inplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0079906Z   test_dispatch_symbolic_meta_inplace_log2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0080073Z   test_dispatch_symbolic_meta_inplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0080264Z   test_dispatch_symbolic_meta_inplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0080432Z   test_dispatch_symbolic_meta_inplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0080596Z   test_dispatch_symbolic_meta_inplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0080782Z   test_dispatch_symbolic_meta_inplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0080971Z   test_dispatch_symbolic_meta_inplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0081163Z   test_dispatch_symbolic_meta_inplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0081348Z   test_dispatch_symbolic_meta_inplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0081541Z   test_dispatch_symbolic_meta_inplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0081731Z   test_dispatch_symbolic_meta_inplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0081885Z   test_dispatch_symbolic_meta_inplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0082080Z   test_dispatch_symbolic_meta_inplace_log_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0082247Z   test_dispatch_symbolic_meta_inplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0082411Z   test_dispatch_symbolic_meta_inplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0082576Z   test_dispatch_symbolic_meta_inplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0082741Z   test_dispatch_symbolic_meta_inplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0082906Z   test_dispatch_symbolic_meta_inplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0083068Z   test_dispatch_symbolic_meta_inplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0083259Z   test_dispatch_symbolic_meta_inplace_log_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0083445Z   test_dispatch_symbolic_meta_inplace_log_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0083636Z   test_dispatch_symbolic_meta_inplace_log_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0083829Z   test_dispatch_symbolic_meta_inplace_log_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0084017Z   test_dispatch_symbolic_meta_inplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0084230Z   test_dispatch_symbolic_meta_inplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0084438Z   test_dispatch_symbolic_meta_inplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0084645Z   test_dispatch_symbolic_meta_inplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0084852Z   test_dispatch_symbolic_meta_inplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0085066Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0085278Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0085523Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0085735Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0085976Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0086195Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0086407Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0086618Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0086834Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0087039Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0087245Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0087456Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0087669Z   test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0087879Z   test_dispatch_symbolic_meta_inplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0088079Z   test_dispatch_symbolic_meta_inplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0088286Z   test_dispatch_symbolic_meta_inplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0088497Z   test_dispatch_symbolic_meta_inplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0088706Z   test_dispatch_symbolic_meta_inplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0088910Z   test_dispatch_symbolic_meta_inplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0089119Z   test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0089328Z   test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0089533Z   test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0089737Z   test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0089940Z   test_dispatch_symbolic_meta_inplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0090139Z   test_dispatch_symbolic_meta_inplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0090339Z   test_dispatch_symbolic_meta_inplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0090554Z   test_dispatch_symbolic_meta_inplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0090730Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0090927Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0091109Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0091286Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0091462Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0091634Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0091811Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0091975Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0092141Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0092307Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0092474Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0092635Z   test_dispatch_symbolic_meta_inplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0092812Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0092983Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0093167Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0093336Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0093507Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0093682Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0093852Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094023Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094187Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094351Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094521Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094685Z   test_dispatch_symbolic_meta_inplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0094847Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095020Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095199Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095373Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095546Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095712Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0095901Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0096071Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0096236Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0096410Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0096577Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0096740Z   test_dispatch_symbolic_meta_inplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0096919Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097087Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097265Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097440Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097614Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097785Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0097948Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0098120Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0098290Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0098459Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0098623Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0098902Z   test_dispatch_symbolic_meta_inplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0099073Z   test_dispatch_symbolic_meta_inplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0099270Z   test_dispatch_symbolic_meta_inplace_logit_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0099436Z   test_dispatch_symbolic_meta_inplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0099593Z   test_dispatch_symbolic_meta_inplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0099759Z   test_dispatch_symbolic_meta_inplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0099955Z   test_dispatch_symbolic_meta_inplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0100149Z   test_dispatch_symbolic_meta_inplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0100334Z   test_dispatch_symbolic_meta_inplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0100528Z   test_dispatch_symbolic_meta_inplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0100712Z   test_dispatch_symbolic_meta_inplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0100920Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0101130Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0101377Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0101577Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0101806Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0102011Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0102212Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0102411Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0102608Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0102809Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0103007Z   test_dispatch_symbolic_meta_inplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0103212Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0103417Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0103615Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0103821Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0104028Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0104232Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0104433Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0104626Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0104823Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0105018Z   test_dispatch_symbolic_meta_inplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0105217Z   test_dispatch_symbolic_meta_inplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0105413Z   test_dispatch_symbolic_meta_inplace_long_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0105610Z   test_dispatch_symbolic_meta_inplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0105812Z   test_dispatch_symbolic_meta_inplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0106007Z   test_dispatch_symbolic_meta_inplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0106211Z   test_dispatch_symbolic_meta_inplace_long_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0106427Z   test_dispatch_symbolic_meta_inplace_long_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0106620Z   test_dispatch_symbolic_meta_inplace_long_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0106838Z   test_dispatch_symbolic_meta_inplace_long_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0107035Z   test_dispatch_symbolic_meta_inplace_long_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0107230Z   test_dispatch_symbolic_meta_inplace_long_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0107426Z   test_dispatch_symbolic_meta_inplace_long_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0107612Z   test_dispatch_symbolic_meta_inplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0107777Z   test_dispatch_symbolic_meta_inplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0107941Z   test_dispatch_symbolic_meta_inplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0108105Z   test_dispatch_symbolic_meta_inplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0108267Z   test_dispatch_symbolic_meta_inplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0108424Z   test_dispatch_symbolic_meta_inplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0108583Z   test_dispatch_symbolic_meta_inplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0108742Z   test_dispatch_symbolic_meta_inplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0108895Z   test_dispatch_symbolic_meta_inplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0109048Z   test_dispatch_symbolic_meta_inplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0109200Z   test_dispatch_symbolic_meta_inplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0109403Z   test_dispatch_symbolic_meta_inplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0109604Z   test_dispatch_symbolic_meta_inplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0109797Z   test_dispatch_symbolic_meta_inplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0109998Z   test_dispatch_symbolic_meta_inplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0110206Z   test_dispatch_symbolic_meta_inplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0110488Z   test_dispatch_symbolic_meta_inplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0110709Z   test_dispatch_symbolic_meta_inplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0110913Z   test_dispatch_symbolic_meta_inplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0111114Z   test_dispatch_symbolic_meta_inplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0111323Z   test_dispatch_symbolic_meta_inplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0111528Z   test_dispatch_symbolic_meta_inplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0111755Z   test_dispatch_symbolic_meta_inplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0111955Z   test_dispatch_symbolic_meta_inplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0112184Z   test_dispatch_symbolic_meta_inplace_mH_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0112388Z   test_dispatch_symbolic_meta_inplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0112586Z   test_dispatch_symbolic_meta_inplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0112779Z   test_dispatch_symbolic_meta_inplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0112976Z   test_dispatch_symbolic_meta_inplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0113165Z   test_dispatch_symbolic_meta_inplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0113360Z   test_dispatch_symbolic_meta_inplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0113554Z   test_dispatch_symbolic_meta_inplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0113749Z   test_dispatch_symbolic_meta_inplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0113939Z   test_dispatch_symbolic_meta_inplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0114129Z   test_dispatch_symbolic_meta_inplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0114320Z   test_dispatch_symbolic_meta_inplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0114514Z   test_dispatch_symbolic_meta_inplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0114703Z   test_dispatch_symbolic_meta_inplace_mT_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0114901Z   test_dispatch_symbolic_meta_inplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0115087Z   test_dispatch_symbolic_meta_inplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0115278Z   test_dispatch_symbolic_meta_inplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0115475Z   test_dispatch_symbolic_meta_inplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0115670Z   test_dispatch_symbolic_meta_inplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0115868Z   test_dispatch_symbolic_meta_inplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0116060Z   test_dispatch_symbolic_meta_inplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0116250Z   test_dispatch_symbolic_meta_inplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0116440Z   test_dispatch_symbolic_meta_inplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0116628Z   test_dispatch_symbolic_meta_inplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0116839Z   test_dispatch_symbolic_meta_inplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0117040Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0117264Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0117472Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0117675Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0117880Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0118086Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0118288Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0118492Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0118692Z   test_dispatch_symbolic_meta_inplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0118900Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0119102Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0119301Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0119502Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0119705Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0119907Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0120104Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0120304Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0120504Z   test_dispatch_symbolic_meta_inplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0120716Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0120922Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0121131Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0121323Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0121524Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0121747Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0121948Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0122155Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0122375Z   test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0122585Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0122793Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0123003Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0123204Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0123404Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0123598Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0123801Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0124004Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0124206Z   test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0124417Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0124633Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0124846Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0125052Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0125261Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0125465Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0125672Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0125870Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0126072Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0126272Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0126478Z   test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0126682Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0126912Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0127125Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0127353Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0127560Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0127759Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0127952Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0128156Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0128359Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0128564Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0128762Z   test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0128936Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129106Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129288Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129464Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129639Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129807Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0129980Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130151Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130320Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130485Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130648Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130816Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0130978Z   test_dispatch_symbolic_meta_inplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0131193Z   test_dispatch_symbolic_meta_inplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0131399Z   test_dispatch_symbolic_meta_inplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0131614Z   test_dispatch_symbolic_meta_inplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0131825Z   test_dispatch_symbolic_meta_inplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0132064Z   test_dispatch_symbolic_meta_inplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0132278Z   test_dispatch_symbolic_meta_inplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0132517Z   test_dispatch_symbolic_meta_inplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0132729Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0132940Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0133146Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0133354Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0133564Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0133767Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0133969Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0134178Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0134381Z   test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0134589Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0134791Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0135001Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0135209Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0135413Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0135614Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0135816Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0136012Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0136218Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0136422Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0136625Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0136824Z   test_dispatch_symbolic_meta_inplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0137057Z   test_dispatch_symbolic_meta_inplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0137263Z   test_dispatch_symbolic_meta_inplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0137492Z   test_dispatch_symbolic_meta_inplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0137695Z   test_dispatch_symbolic_meta_inplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0137900Z   test_dispatch_symbolic_meta_inplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0138095Z   test_dispatch_symbolic_meta_inplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0138298Z   test_dispatch_symbolic_meta_inplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0138512Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0138731Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0139058Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0139268Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0139476Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0139687Z   test_dispatch_symbolic_meta_inplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0139894Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0140101Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0140310Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0140510Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0140714Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0140919Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0141118Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0141323Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0141521Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0141723Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0141923Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0142160Z   test_dispatch_symbolic_meta_inplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0142342Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0142508Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0142726Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0142911Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143088Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143263Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143437Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143613Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143785Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0143963Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0144130Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0144300Z   test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0144516Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0144725Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0144940Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0145152Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0145365Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0145574Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0145775Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0145979Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0146183Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0146373Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0146582Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0146787Z   test_dispatch_symbolic_meta_inplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0146996Z   test_dispatch_symbolic_meta_inplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0147206Z   test_dispatch_symbolic_meta_inplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0147438Z   test_dispatch_symbolic_meta_inplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0147642Z   test_dispatch_symbolic_meta_inplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0147884Z   test_dispatch_symbolic_meta_inplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0148083Z   test_dispatch_symbolic_meta_inplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0148286Z   test_dispatch_symbolic_meta_inplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0148478Z   test_dispatch_symbolic_meta_inplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0148682Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0148889Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0149100Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0149303Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0149508Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0149711Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0149917Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0150118Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0150385Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0150605Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0150798Z   test_dispatch_symbolic_meta_inplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0151000Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0151205Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0151414Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0151623Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0151829Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0152031Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0152232Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0152460Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0152663Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0152858Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0153082Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0153280Z   test_dispatch_symbolic_meta_inplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0153482Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0153692Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0153901Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0154103Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0154305Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0154507Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0154708Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0154908Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0155100Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0155298Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0155503Z   test_dispatch_symbolic_meta_inplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0155703Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0155906Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0156107Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0156310Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0156506Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0156698Z   test_dispatch_symbolic_meta_inplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0156906Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0157108Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0157314Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0157537Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0157743Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0157945Z   test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0158175Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0158373Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0158574Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0158774Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0158973Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0159172Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0159365Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0159565Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0159766Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0159965Z   test_dispatch_symbolic_meta_inplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0160194Z   test_dispatch_symbolic_meta_inplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0160420Z   test_dispatch_symbolic_meta_inplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0160649Z   test_dispatch_symbolic_meta_inplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0160874Z   test_dispatch_symbolic_meta_inplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0161088Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0161301Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0161513Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0161713Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0161919Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0162130Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0162339Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0162578Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0162784Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0162989Z   test_dispatch_symbolic_meta_inplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0163228Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0163442Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0163657Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0163867Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0164067Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0164279Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0164484Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0164687Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0164898Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0165111Z   test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0165313Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0165515Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0165717Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0165913Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0166098Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0166299Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0166495Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0166691Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0166886Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0167075Z   test_dispatch_symbolic_meta_inplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0167270Z   test_dispatch_symbolic_meta_inplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0167496Z   test_dispatch_symbolic_meta_inplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0167699Z   test_dispatch_symbolic_meta_inplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0167893Z   test_dispatch_symbolic_meta_inplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0168109Z   test_dispatch_symbolic_meta_inplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0168293Z   test_dispatch_symbolic_meta_inplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0168490Z   test_dispatch_symbolic_meta_inplace_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0168684Z   test_dispatch_symbolic_meta_inplace_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0168877Z   test_dispatch_symbolic_meta_inplace_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0169070Z   test_dispatch_symbolic_meta_inplace_median_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0169261Z   test_dispatch_symbolic_meta_inplace_median_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0169451Z   test_dispatch_symbolic_meta_inplace_median_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0169647Z   test_dispatch_symbolic_meta_inplace_median_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0169847Z   test_dispatch_symbolic_meta_inplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0170069Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0170278Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0170499Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0170722Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0170940Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0171170Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0171461Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0171740Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0172005Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0172225Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0172506Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0172762Z   test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0172977Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0173193Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0173439Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0173662Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0173880Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0174101Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0174319Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0174539Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0174749Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0174957Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0175173Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0175385Z   test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0175583Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0175786Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0175988Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0176195Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0176397Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0176603Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0176802Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0177003Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0177203Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0177399Z   test_dispatch_symbolic_meta_inplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0177607Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0177841Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0178055Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0178296Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0178500Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0178710Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0179055Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0179270Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0179477Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0179685Z   test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0179904Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0180108Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0180321Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0180530Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0180735Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0180951Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0181157Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0181360Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0181569Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0181780Z   test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0181980Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0182185Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0182380Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0182576Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0182770Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0183019Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0183218Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0183454Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0183652Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0183844Z   test_dispatch_symbolic_meta_inplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0184042Z   test_dispatch_symbolic_meta_inplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0184244Z   test_dispatch_symbolic_meta_inplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0184434Z   test_dispatch_symbolic_meta_inplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0184629Z   test_dispatch_symbolic_meta_inplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0184829Z   test_dispatch_symbolic_meta_inplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185024Z   test_dispatch_symbolic_meta_inplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185220Z   test_dispatch_symbolic_meta_inplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185419Z   test_dispatch_symbolic_meta_inplace_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185618Z   test_dispatch_symbolic_meta_inplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185806Z   test_dispatch_symbolic_meta_inplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0185996Z   test_dispatch_symbolic_meta_inplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0186186Z   test_dispatch_symbolic_meta_inplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0186372Z   test_dispatch_symbolic_meta_inplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0186566Z   test_dispatch_symbolic_meta_inplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0186759Z   test_dispatch_symbolic_meta_inplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0186951Z   test_dispatch_symbolic_meta_inplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0187154Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0187349Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0187558Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0187764Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0187992Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0188192Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0188387Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0188595Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0188795Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0188992Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0189183Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0189383Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0189580Z   test_dispatch_symbolic_meta_inplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0189780Z   test_dispatch_symbolic_meta_inplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0189974Z   test_dispatch_symbolic_meta_inplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0190162Z   test_dispatch_symbolic_meta_inplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0190428Z   test_dispatch_symbolic_meta_inplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0190635Z   test_dispatch_symbolic_meta_inplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0190834Z   test_dispatch_symbolic_meta_inplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0191031Z   test_dispatch_symbolic_meta_inplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0191229Z   test_dispatch_symbolic_meta_inplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0191421Z   test_dispatch_symbolic_meta_inplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0191587Z   test_dispatch_symbolic_meta_inplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0191747Z   test_dispatch_symbolic_meta_inplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0191916Z   test_dispatch_symbolic_meta_inplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192082Z   test_dispatch_symbolic_meta_inplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192241Z   test_dispatch_symbolic_meta_inplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192406Z   test_dispatch_symbolic_meta_inplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192568Z   test_dispatch_symbolic_meta_inplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192731Z   test_dispatch_symbolic_meta_inplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0192889Z   test_dispatch_symbolic_meta_inplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0193049Z   test_dispatch_symbolic_meta_inplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0193228Z   test_dispatch_symbolic_meta_inplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0193388Z   test_dispatch_symbolic_meta_inplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0193542Z   test_dispatch_symbolic_meta_inplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0193764Z   test_dispatch_symbolic_meta_inplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0193972Z   test_dispatch_symbolic_meta_inplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0194176Z   test_dispatch_symbolic_meta_inplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0194373Z   test_dispatch_symbolic_meta_inplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0194575Z   test_dispatch_symbolic_meta_inplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0194775Z   test_dispatch_symbolic_meta_inplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0194969Z   test_dispatch_symbolic_meta_inplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0195166Z   test_dispatch_symbolic_meta_inplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0195358Z   test_dispatch_symbolic_meta_inplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0195544Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0195719Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0195904Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0196113Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0196324Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0196524Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0196727Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0196925Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0197105Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0197283Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0197466Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0197669Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0197877Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0198076Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0198308Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0198513Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0198690Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0198898Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0199075Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0199277Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0199476Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0199669Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0199877Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0200076Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0200250Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0200418Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0200589Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0200753Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0200917Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0201082Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0201242Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0201395Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0201557Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0201714Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0201917Z   test_dispatch_symbolic_meta_inplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0202120Z   test_dispatch_symbolic_meta_inplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0202318Z   test_dispatch_symbolic_meta_inplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0202513Z   test_dispatch_symbolic_meta_inplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0202723Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0202929Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0203126Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0203327Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0203551Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0203744Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0203967Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0204158Z   test_dispatch_symbolic_meta_inplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0204362Z   test_dispatch_symbolic_meta_inplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0204567Z   test_dispatch_symbolic_meta_inplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0204770Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0204963Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0205163Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0205352Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0205544Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0205742Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0205937Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0206128Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0206322Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0206521Z   test_dispatch_symbolic_meta_inplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0206727Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0206927Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0207136Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0207338Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0207544Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0207749Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0207951Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0208154Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0208355Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0208580Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0208781Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209004Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209208Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209406Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209593Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209792Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0209995Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0210197Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0210400Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0210593Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0210786Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0210989Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0211186Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0211377Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0211563Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0211758Z   test_dispatch_symbolic_meta_inplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0211970Z   test_dispatch_symbolic_meta_inplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0212183Z   test_dispatch_symbolic_meta_inplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0212394Z   test_dispatch_symbolic_meta_inplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0212603Z   test_dispatch_symbolic_meta_inplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0212823Z   test_dispatch_symbolic_meta_inplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0213038Z   test_dispatch_symbolic_meta_inplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0213246Z   test_dispatch_symbolic_meta_inplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0213477Z   test_dispatch_symbolic_meta_inplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0213689Z   test_dispatch_symbolic_meta_inplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0213892Z   test_dispatch_symbolic_meta_inplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0214125Z   test_dispatch_symbolic_meta_inplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0214330Z   test_dispatch_symbolic_meta_inplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0214497Z   test_dispatch_symbolic_meta_inplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0214658Z   test_dispatch_symbolic_meta_inplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0214827Z   test_dispatch_symbolic_meta_inplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0214996Z   test_dispatch_symbolic_meta_inplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215157Z   test_dispatch_symbolic_meta_inplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215318Z   test_dispatch_symbolic_meta_inplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215466Z   test_dispatch_symbolic_meta_inplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215624Z   test_dispatch_symbolic_meta_inplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215780Z   test_dispatch_symbolic_meta_inplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0215934Z   test_dispatch_symbolic_meta_inplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0216092Z   test_dispatch_symbolic_meta_inplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0216246Z   test_dispatch_symbolic_meta_inplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0216412Z   test_dispatch_symbolic_meta_inplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0216585Z   test_dispatch_symbolic_meta_inplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0216751Z   test_dispatch_symbolic_meta_inplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0216912Z   test_dispatch_symbolic_meta_inplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217074Z   test_dispatch_symbolic_meta_inplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217239Z   test_dispatch_symbolic_meta_inplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217398Z   test_dispatch_symbolic_meta_inplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217560Z   test_dispatch_symbolic_meta_inplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217723Z   test_dispatch_symbolic_meta_inplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0217878Z   test_dispatch_symbolic_meta_inplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0218039Z   test_dispatch_symbolic_meta_inplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0218187Z   test_dispatch_symbolic_meta_inplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0218396Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0218602Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0219068Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0219282Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0219488Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0219730Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0219936Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0220136Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0220340Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0220527Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0220720Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0220921Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0221118Z   test_dispatch_symbolic_meta_inplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0221330Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0221542Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0221757Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0221969Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0222186Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0222397Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0222607Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0222810Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0223018Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0223225Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0223429Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0223636Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0223839Z   test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0224067Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0224268Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0224473Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0224730Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0224934Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0225130Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0225332Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0225535Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0225733Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0225929Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0226120Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0226318Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0226509Z   test_dispatch_symbolic_meta_inplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0226714Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0226914Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0227115Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0227318Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0227519Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0227722Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0227922Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0228120Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0228319Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0228512Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0228701Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0228899Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0229107Z   test_dispatch_symbolic_meta_inplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0229309Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0229506Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0229736Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0229942Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0230148Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0230420Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0230648Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0230850Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231052Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231245Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231427Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231619Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231816Z   test_dispatch_symbolic_meta_inplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0231991Z   test_dispatch_symbolic_meta_inplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0232162Z   test_dispatch_symbolic_meta_inplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0232331Z   test_dispatch_symbolic_meta_inplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0232554Z   test_dispatch_symbolic_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.0232770Z   test_dispatch_symbolic_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.0232991Z   test_dispatch_symbolic_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.0233200Z   test_dispatch_symbolic_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.0233422Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0233652Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0233878Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0234101Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0234353Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0234574Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0234817Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0235034Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0235254Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0235472Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0235690Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0235908Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0236122Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0236339Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0236555Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0236773Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0236990Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0237208Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0237421Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0237639Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0237855Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0238069Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0238287Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0238502Z   test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0238685Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0238873Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0239092Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0239286Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0239509Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0239747Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0239964Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0240183Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0240399Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0240610Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0240816Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0241029Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0241240Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0241449Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0241660Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0241868Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0242080Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0242286Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0242494Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0242703Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0242933Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0243163Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0243380Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0243596Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0243812Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0244050Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0244258Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0244483Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0244709Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0244935Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0245164Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0245388Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0245626Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0245861Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0246088Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0246316Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0246500Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0246681Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0246862Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0247034Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0247250Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0247464Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0247676Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0247885Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0248088Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0248297Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0248500Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0248711Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0248945Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0249156Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0249383Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0249589Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0249793Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0250006Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0250232Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0250459Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0250681Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0250906Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0251131Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0251354Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0251571Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0251796Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0252021Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0252243Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0252465Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0252689Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0252914Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0253126Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0253347Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0253574Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0253824Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0254045Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0254295Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0254514Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0254729Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0254959Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0255183Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0255409Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0255638Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0255857Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0256079Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0256304Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0256528Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0256756Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0256972Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0257193Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0257417Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0257639Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0257855Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0258077Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0258297Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0258508Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0258898Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0259128Z   test_dispatch_symbolic_meta_inplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0259376Z   test_dispatch_symbolic_meta_inplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0259564Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0259749Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0259930Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0260111Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0260293Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0260469Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0260639Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0260812Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0260993Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0261176Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0261359Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0261544Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0261723Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0261903Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0262081Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0262246Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0262469Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0262692Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0262913Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0263129Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0263351Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0263570Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0263781Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0264018Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0264230Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0264458Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0264665Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0264862Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0265074Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0265277Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0265491Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0265704Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0265916Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0266124Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0266328Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0266537Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0266742Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0266933Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0267142Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0267343Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0267569Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0267798Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0268023Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0268254Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0268472Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0268691Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0268943Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0269168Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0269390Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0269619Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0269832Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0270045Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0270317Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0270553Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0270792Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0271024Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0271516Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0271726Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0271947Z   test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0272165Z   test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0272380Z   test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0272597Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0272812Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0273025Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0273243Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0273456Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0273670Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0273880Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0274092Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0274306Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0274496Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0274669Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0274870Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0275087Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0275302Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0275512Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0275721Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0275934Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0276150Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0276358Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0276564Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0276781Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0276979Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0277182Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0277395Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0277628Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0277856Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0278085Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0278312Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0278531Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0278744Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0278958Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0279169Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0279410Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0279630Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0279869Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0280088Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0280314Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0280541Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0280763Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0280981Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0281210Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0281437Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0281664Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0281895Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0282114Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0282342Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0282568Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0290136Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0290385Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0290614Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0290844Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0291071Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0291297Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0291578Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0291815Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0292042Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0292284Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0292500Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0292697Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0292905Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0293140Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0293388Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0293606Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0293816Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0294020Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0294225Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0294442Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0294664Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0294879Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0295087Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0295275Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0295459Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0295637Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0295821Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0296038Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0296257Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0296472Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0296709Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0296915Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0297134Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0297362Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0297587Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0297814Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0298042Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0298264Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0298482Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0298700Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0299146Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0299378Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0299598Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0299820Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0300038Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0300264Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0300485Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0300699Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0300921Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0301136Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0301349Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0301563Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0301820Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0302038Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0302251Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0302484Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0302694Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0302904Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0303116Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0303326Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0303538Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0303747Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0303963Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0304185Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0304405Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0304628Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0304854Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0305064Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0305280Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0305497Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0305718Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0305942Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0306164Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0306378Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0306591Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0306827Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0307043Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0307284Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0307495Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0307711Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0307896Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0308080Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0308261Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0308438Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0308653Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0308866Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0309074Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0309281Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0309503Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0309717Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0309935Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0310150Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0310466Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0310698Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0310922Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0311148Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0311384Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0311619Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0311882Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0312116Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0312356Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0312563Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0312773Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0312987Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0313204Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0313450Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0313701Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0313919Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0314129Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0314341Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0314553Z   test_dispatch_symbolic_meta_inplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0314777Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0314983Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0315207Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0315432Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0315655Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0315876Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0316097Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0316315Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0316532Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0316774Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0316991Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0317207Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0317447Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0317653Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0317874Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0318099Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0318316Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0318534Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0318749Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0318966Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0319183Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0319396Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0319609Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0319830Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0320044Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0320267Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0320492Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0320711Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0320932Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0321150Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0321377Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0321604Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0321848Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0322069Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0322324Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0322554Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0322775Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0323007Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0323232Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0323455Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0323675Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0323895Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0324115Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0324333Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0324553Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0324768Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0324981Z   test_dispatch_symbolic_meta_inplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0325188Z   test_dispatch_symbolic_meta_inplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0325414Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0325637Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0325860Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0326080Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0326299Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0326518Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0326755Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0326975Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0327217Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0327436Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0327654Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0327860Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0328085Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0328306Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0328537Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0328762Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0328982Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0329200Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0329419Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0329638Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0329863Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0330077Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0330291Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0330504Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0330727Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0330952Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0331174Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0331391Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0331636Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0331855Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0332067Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0332305Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0332524Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0332734Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0332943Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0333155Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0333373Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0333585Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0333793Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0334002Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0334215Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0334426Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0334634Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0334843Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0335048Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0335252Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0335466Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0335680Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0335892Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0336107Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0336312Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0336518Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0336753Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0336957Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0337164Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0337345Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0337520Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0337701Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0337883Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0338062Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0338241Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0338422Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0338602Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0338775Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0339066Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0339231Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0339457Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0339681Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0339896Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0340123Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0340343Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0340566Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0340779Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0340994Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0341210Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0341417Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0341614Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0341876Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0342108Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0342362Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0342590Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0342814Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0343041Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0343258Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0343480Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0343696Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0343917Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0344130Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0344342Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0344556Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0344766Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0344973Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0345191Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0345411Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0345631Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0345849Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0346065Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0346278Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0346498Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0346732Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0346949Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0347160Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0347392Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0347603Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0347809Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0348018Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0348230Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0348443Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0348661Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0348883Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0349097Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0349320Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0349535Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0349755Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0349969Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0350178Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0350461Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0350676Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0350882Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0351077Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0351263Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0351437Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0351617Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0351827Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0352014Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0352200Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0352405Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0352585Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0352813Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0353046Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0353275Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0353495Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0353723Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0353945Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0354169Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0354393Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0354609Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0354832Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0355048Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0355289Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0355532Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0355777Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0356017Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0356247Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0356477Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0356738Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0356974Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0357202Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0357468Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0357698Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0357913Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0358129Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0358342Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0358556Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0358760Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0358955Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0359183Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0359406Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0359623Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0359852Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0360076Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0360293Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0360518Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0360722Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0360927Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0361136Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0361341Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0361539Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0361765Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0361960Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0362153Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0362378Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0362570Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0362760Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0362960Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0363151Z   test_dispatch_symbolic_meta_inplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0363345Z   test_dispatch_symbolic_meta_inplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0363536Z   test_dispatch_symbolic_meta_inplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0363734Z   test_dispatch_symbolic_meta_inplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0363929Z   test_dispatch_symbolic_meta_inplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0364128Z   test_dispatch_symbolic_meta_inplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0364323Z   test_dispatch_symbolic_meta_inplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0364524Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0364732Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0364936Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0365137Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0365340Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0365534Z   test_dispatch_symbolic_meta_inplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0365738Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0365943Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0366149Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0366343Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0366546Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0366768Z   test_dispatch_symbolic_meta_inplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0366974Z   test_dispatch_symbolic_meta_inplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0367180Z   test_dispatch_symbolic_meta_inplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0367401Z   test_dispatch_symbolic_meta_inplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0367596Z   test_dispatch_symbolic_meta_inplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0367790Z   test_dispatch_symbolic_meta_inplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0367992Z   test_dispatch_symbolic_meta_inplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0368186Z   test_dispatch_symbolic_meta_inplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0368385Z   test_dispatch_symbolic_meta_inplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0368599Z   test_dispatch_symbolic_meta_inplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0368812Z   test_dispatch_symbolic_meta_inplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0369022Z   test_dispatch_symbolic_meta_inplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0369236Z   test_dispatch_symbolic_meta_inplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0369434Z   test_dispatch_symbolic_meta_inplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0369631Z   test_dispatch_symbolic_meta_inplace_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0369829Z   test_dispatch_symbolic_meta_inplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0370032Z   test_dispatch_symbolic_meta_inplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0370227Z   test_dispatch_symbolic_meta_inplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0370428Z   test_dispatch_symbolic_meta_inplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0370624Z   test_dispatch_symbolic_meta_inplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0370816Z   test_dispatch_symbolic_meta_inplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0371019Z   test_dispatch_symbolic_meta_inplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0371213Z   test_dispatch_symbolic_meta_inplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0371410Z   test_dispatch_symbolic_meta_inplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0371604Z   test_dispatch_symbolic_meta_inplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0371813Z   test_dispatch_symbolic_meta_inplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0372018Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0372216Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0372449Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0372655Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0372857Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0373062Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0373266Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0373469Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0373670Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0373864Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0374047Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0374247Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0374439Z   test_dispatch_symbolic_meta_inplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0374641Z   test_dispatch_symbolic_meta_inplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0374848Z   test_dispatch_symbolic_meta_inplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0375050Z   test_dispatch_symbolic_meta_inplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0375245Z   test_dispatch_symbolic_meta_inplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0375444Z   test_dispatch_symbolic_meta_inplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0375644Z   test_dispatch_symbolic_meta_inplace_outer_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0375844Z   test_dispatch_symbolic_meta_inplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0376036Z   test_dispatch_symbolic_meta_inplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0376232Z   test_dispatch_symbolic_meta_inplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0376424Z   test_dispatch_symbolic_meta_inplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0376615Z   test_dispatch_symbolic_meta_inplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0376839Z   test_dispatch_symbolic_meta_inplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0377037Z   test_dispatch_symbolic_meta_inplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0377232Z   test_dispatch_symbolic_meta_inplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0377449Z   test_dispatch_symbolic_meta_inplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0377645Z   test_dispatch_symbolic_meta_inplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0377843Z   test_dispatch_symbolic_meta_inplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0378050Z   test_dispatch_symbolic_meta_inplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0378255Z   test_dispatch_symbolic_meta_inplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0378457Z   test_dispatch_symbolic_meta_inplace_permute_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0378664Z   test_dispatch_symbolic_meta_inplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0378991Z   test_dispatch_symbolic_meta_inplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0379198Z   test_dispatch_symbolic_meta_inplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0379399Z   test_dispatch_symbolic_meta_inplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0379598Z   test_dispatch_symbolic_meta_inplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0379789Z   test_dispatch_symbolic_meta_inplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0379991Z   test_dispatch_symbolic_meta_inplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0380182Z   test_dispatch_symbolic_meta_inplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0380372Z   test_dispatch_symbolic_meta_inplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0380578Z   test_dispatch_symbolic_meta_inplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0380774Z   test_dispatch_symbolic_meta_inplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0380980Z   test_dispatch_symbolic_meta_inplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0381185Z   test_dispatch_symbolic_meta_inplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0381388Z   test_dispatch_symbolic_meta_inplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0381595Z   test_dispatch_symbolic_meta_inplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0381792Z   test_dispatch_symbolic_meta_inplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0381985Z   test_dispatch_symbolic_meta_inplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0382231Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0382422Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0382650Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0382828Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0383042Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0383250Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0383455Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0383658Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0383863Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0384068Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0384241Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0384417Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0384593Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0384800Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0385005Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0385208Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0385412Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0385614Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0385817Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0385996Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0386165Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0386343Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0386544Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0386748Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0386950Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0387176Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0387377Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0387604Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0387782Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0387958Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0388134Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0388329Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0388532Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0388731Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0388933Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0389132Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0389333Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0389510Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0389689Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0389866Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0390069Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0390326Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0390561Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0390770Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0390980Z   test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0391185Z   test_dispatch_symbolic_meta_inplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0391395Z   test_dispatch_symbolic_meta_inplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0391601Z   test_dispatch_symbolic_meta_inplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0391807Z   test_dispatch_symbolic_meta_inplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0392008Z   test_dispatch_symbolic_meta_inplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0392241Z   test_dispatch_symbolic_meta_inplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0392435Z   test_dispatch_symbolic_meta_inplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0392635Z   test_dispatch_symbolic_meta_inplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0392862Z   test_dispatch_symbolic_meta_inplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0393052Z   test_dispatch_symbolic_meta_inplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0393248Z   test_dispatch_symbolic_meta_inplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0393443Z   test_dispatch_symbolic_meta_inplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0393606Z   test_dispatch_symbolic_meta_inplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0393776Z   test_dispatch_symbolic_meta_inplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0393947Z   test_dispatch_symbolic_meta_inplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0394115Z   test_dispatch_symbolic_meta_inplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0394272Z   test_dispatch_symbolic_meta_inplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0394436Z   test_dispatch_symbolic_meta_inplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0394600Z   test_dispatch_symbolic_meta_inplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0394761Z   test_dispatch_symbolic_meta_inplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0394924Z   test_dispatch_symbolic_meta_inplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0395081Z   test_dispatch_symbolic_meta_inplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0395240Z   test_dispatch_symbolic_meta_inplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0395397Z   test_dispatch_symbolic_meta_inplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0395597Z   test_dispatch_symbolic_meta_inplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0395786Z   test_dispatch_symbolic_meta_inplace_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0395991Z   test_dispatch_symbolic_meta_inplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0396195Z   test_dispatch_symbolic_meta_inplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0396392Z   test_dispatch_symbolic_meta_inplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0396593Z   test_dispatch_symbolic_meta_inplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0396785Z   test_dispatch_symbolic_meta_inplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0396980Z   test_dispatch_symbolic_meta_inplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0397177Z   test_dispatch_symbolic_meta_inplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0397397Z   test_dispatch_symbolic_meta_inplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0397596Z   test_dispatch_symbolic_meta_inplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0397781Z   test_dispatch_symbolic_meta_inplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0397998Z   test_dispatch_symbolic_meta_inplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0398163Z   test_dispatch_symbolic_meta_inplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0398327Z   test_dispatch_symbolic_meta_inplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0398496Z   test_dispatch_symbolic_meta_inplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0398662Z   test_dispatch_symbolic_meta_inplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0398829Z   test_dispatch_symbolic_meta_inplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0398993Z   test_dispatch_symbolic_meta_inplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399155Z   test_dispatch_symbolic_meta_inplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399308Z   test_dispatch_symbolic_meta_inplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399467Z   test_dispatch_symbolic_meta_inplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399622Z   test_dispatch_symbolic_meta_inplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399779Z   test_dispatch_symbolic_meta_inplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0399934Z   test_dispatch_symbolic_meta_inplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0400138Z   test_dispatch_symbolic_meta_inplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0400336Z   test_dispatch_symbolic_meta_inplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0400536Z   test_dispatch_symbolic_meta_inplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0400732Z   test_dispatch_symbolic_meta_inplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0400927Z   test_dispatch_symbolic_meta_inplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0401131Z   test_dispatch_symbolic_meta_inplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0401302Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0401498Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0401667Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0401834Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0401995Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0402190Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0402384Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0402565Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0402786Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0402974Z   test_dispatch_symbolic_meta_inplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0403202Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0403413Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0403619Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0403827Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0404029Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0404234Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0404441Z   test_dispatch_symbolic_meta_inplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0404645Z   test_dispatch_symbolic_meta_inplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0404838Z   test_dispatch_symbolic_meta_inplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0405033Z   test_dispatch_symbolic_meta_inplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0405228Z   test_dispatch_symbolic_meta_inplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0405425Z   test_dispatch_symbolic_meta_inplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0405617Z   test_dispatch_symbolic_meta_inplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0405809Z   test_dispatch_symbolic_meta_inplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0406006Z   test_dispatch_symbolic_meta_inplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0406196Z   test_dispatch_symbolic_meta_inplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0406404Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0406609Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0406805Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0407006Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0407209Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0407414Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0407617Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0407842Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0408049Z   test_dispatch_symbolic_meta_inplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0408274Z   test_dispatch_symbolic_meta_inplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0408477Z   test_dispatch_symbolic_meta_inplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0408679Z   test_dispatch_symbolic_meta_inplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0408876Z   test_dispatch_symbolic_meta_inplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0409071Z   test_dispatch_symbolic_meta_inplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0409264Z   test_dispatch_symbolic_meta_inplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0409458Z   test_dispatch_symbolic_meta_inplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0409664Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0409873Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0410077Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0410286Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0410485Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0410688Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0410889Z   test_dispatch_symbolic_meta_inplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0411085Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0411283Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0411489Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0411690Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0411886Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0412090Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0412286Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0412478Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0412674Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0412895Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0413086Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0413302Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0413494Z   test_dispatch_symbolic_meta_inplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0413693Z   test_dispatch_symbolic_meta_inplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0413889Z   test_dispatch_symbolic_meta_inplace_real_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0414093Z   test_dispatch_symbolic_meta_inplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0414296Z   test_dispatch_symbolic_meta_inplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0414491Z   test_dispatch_symbolic_meta_inplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0414692Z   test_dispatch_symbolic_meta_inplace_real_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0414885Z   test_dispatch_symbolic_meta_inplace_real_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0415067Z   test_dispatch_symbolic_meta_inplace_real_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0415266Z   test_dispatch_symbolic_meta_inplace_real_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0415459Z   test_dispatch_symbolic_meta_inplace_real_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0415655Z   test_dispatch_symbolic_meta_inplace_real_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0415849Z   test_dispatch_symbolic_meta_inplace_real_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0416044Z   test_dispatch_symbolic_meta_inplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0416220Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0416419Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0416597Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0416774Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0416940Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0417111Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0417276Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0417476Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0417674Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0417893Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0418094Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0418288Z   test_dispatch_symbolic_meta_inplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0418484Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0418656Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0418922Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0419090Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0419259Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0419429Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0419593Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0419759Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0419932Z   test_dispatch_symbolic_meta_inplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0420097Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0420259Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0420432Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0420596Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0420768Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0420933Z   test_dispatch_symbolic_meta_inplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0421137Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0421338Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0421547Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0421750Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0421955Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0422146Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0422340Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0422543Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0422739Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0422930Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0423126Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0423366Z   test_dispatch_symbolic_meta_inplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0423581Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0423823Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0424043Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0424252Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0424467Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0424684Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0424898Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0425115Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0425324Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0425532Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0425734Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0425946Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0426148Z   test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0426357Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0426553Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0426763Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0426972Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0427182Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0427389Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0427594Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0427798Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0427999Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0428202Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0428430Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0428631Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0428827Z   test_dispatch_symbolic_meta_inplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0429061Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0429264Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0429469Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0429677Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0429874Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0430073Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0430327Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0430530Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0430733Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0430921Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0431117Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0431318Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0431514Z   test_dispatch_symbolic_meta_inplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0431685Z   test_dispatch_symbolic_meta_inplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0431854Z   test_dispatch_symbolic_meta_inplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432026Z   test_dispatch_symbolic_meta_inplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432199Z   test_dispatch_symbolic_meta_inplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432370Z   test_dispatch_symbolic_meta_inplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432525Z   test_dispatch_symbolic_meta_inplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432683Z   test_dispatch_symbolic_meta_inplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0432851Z   test_dispatch_symbolic_meta_inplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0433017Z   test_dispatch_symbolic_meta_inplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0433182Z   test_dispatch_symbolic_meta_inplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0433343Z   test_dispatch_symbolic_meta_inplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0433503Z   test_dispatch_symbolic_meta_inplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0433704Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0433870Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434038Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434237Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434408Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434573Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434736Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0434904Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0435069Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0435230Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0435398Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0435553Z   test_dispatch_symbolic_meta_inplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0435761Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0435964Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0436177Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0436391Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0436599Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0436805Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0437007Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0437211Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0437415Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0437615Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0437824Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0438027Z   test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0438236Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0438440Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0438654Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0438886Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0439099Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0439324Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0439532Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0439737Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0439934Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0440139Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0440344Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0440546Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0440749Z   test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0440949Z   test_dispatch_symbolic_meta_inplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0441144Z   test_dispatch_symbolic_meta_inplace_roll_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0441349Z   test_dispatch_symbolic_meta_inplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0441550Z   test_dispatch_symbolic_meta_inplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0441750Z   test_dispatch_symbolic_meta_inplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0441944Z   test_dispatch_symbolic_meta_inplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0442139Z   test_dispatch_symbolic_meta_inplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0442334Z   test_dispatch_symbolic_meta_inplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0442533Z   test_dispatch_symbolic_meta_inplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0442733Z   test_dispatch_symbolic_meta_inplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0442930Z   test_dispatch_symbolic_meta_inplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0443130Z   test_dispatch_symbolic_meta_inplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0443322Z   test_dispatch_symbolic_meta_inplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0443525Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0443720Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0443937Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0444144Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0444342Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0444558Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0444751Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0444949Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0445145Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0445342Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0445535Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0445730Z   test_dispatch_symbolic_meta_inplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0445891Z   test_dispatch_symbolic_meta_inplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446060Z   test_dispatch_symbolic_meta_inplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446226Z   test_dispatch_symbolic_meta_inplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446394Z   test_dispatch_symbolic_meta_inplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446561Z   test_dispatch_symbolic_meta_inplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446726Z   test_dispatch_symbolic_meta_inplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0446890Z   test_dispatch_symbolic_meta_inplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0447058Z   test_dispatch_symbolic_meta_inplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0447219Z   test_dispatch_symbolic_meta_inplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0447391Z   test_dispatch_symbolic_meta_inplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0447570Z   test_dispatch_symbolic_meta_inplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0447747Z   test_dispatch_symbolic_meta_inplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0447921Z   test_dispatch_symbolic_meta_inplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448096Z   test_dispatch_symbolic_meta_inplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448267Z   test_dispatch_symbolic_meta_inplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448441Z   test_dispatch_symbolic_meta_inplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448608Z   test_dispatch_symbolic_meta_inplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448789Z   test_dispatch_symbolic_meta_inplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0448964Z   test_dispatch_symbolic_meta_inplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0449168Z   test_dispatch_symbolic_meta_inplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0449353Z   test_dispatch_symbolic_meta_inplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0449521Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0449741Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0449914Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450085Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450250Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450417Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450576Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450743Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0450935Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0451132Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0451318Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0451510Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0451694Z   test_dispatch_symbolic_meta_inplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0451897Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0452099Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0452302Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0452493Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0452685Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0452874Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0453070Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0453268Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0453464Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0453663Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0453856Z   test_dispatch_symbolic_meta_inplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0454066Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0454275Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0454503Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0454715Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0454952Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0455160Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0455369Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0455572Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0455779Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0455983Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0456188Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0456394Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0456597Z   test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0456766Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0456941Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457123Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457302Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457478Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457649Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457822Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0457992Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0458156Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0458314Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0458483Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0458646Z   test_dispatch_symbolic_meta_inplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0458921Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0459089Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0459264Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0459439Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0459607Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0459809Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0459966Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0460134Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0460328Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0460495Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0460656Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0460820Z   test_dispatch_symbolic_meta_inplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0461005Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0461193Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0461369Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0461552Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0461735Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0461916Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0462094Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0462274Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0462452Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0462634Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0462812Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0462994Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0463164Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0463340Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0463514Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0463692Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0463873Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0464045Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0464229Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0464403Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0464581Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0464749Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0464924Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0465119Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0465292Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0465468Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0465672Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0465852Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0466030Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0466212Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0466381Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0466555Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0466729Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0466905Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467086Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467264Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467445Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467626Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467808Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0467979Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0468153Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0468332Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0468511Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0468683Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0468859Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0469031Z   test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0469242Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0469455Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0469660Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0469863Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0470071Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0470368Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0470591Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0470799Z   test_dispatch_symbolic_meta_inplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0471043Z   test_dispatch_symbolic_meta_inplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0471260Z   test_dispatch_symbolic_meta_inplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0471470Z   test_dispatch_symbolic_meta_inplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0471679Z   test_dispatch_symbolic_meta_inplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0471894Z   test_dispatch_symbolic_meta_inplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0472102Z   test_dispatch_symbolic_meta_inplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0472303Z   test_dispatch_symbolic_meta_inplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0472512Z   test_dispatch_symbolic_meta_inplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0472715Z   test_dispatch_symbolic_meta_inplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0472920Z   test_dispatch_symbolic_meta_inplace_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0473131Z   test_dispatch_symbolic_meta_inplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0473333Z   test_dispatch_symbolic_meta_inplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0473542Z   test_dispatch_symbolic_meta_inplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0473744Z   test_dispatch_symbolic_meta_inplace_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0473945Z   test_dispatch_symbolic_meta_inplace_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0474141Z   test_dispatch_symbolic_meta_inplace_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0474332Z   test_dispatch_symbolic_meta_inplace_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0474524Z   test_dispatch_symbolic_meta_inplace_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0474715Z   test_dispatch_symbolic_meta_inplace_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0474913Z   test_dispatch_symbolic_meta_inplace_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0475116Z   test_dispatch_symbolic_meta_inplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0475328Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0475562Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0475775Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0476009Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0476214Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0476411Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0476618Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0476819Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0477023Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0477235Z   test_dispatch_symbolic_meta_inplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0477406Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0477567Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0477738Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0477907Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0478079Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0478237Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0478400Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0478567Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0478728Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0478888Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0479044Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0479205Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0479362Z   test_dispatch_symbolic_meta_inplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0479565Z   test_dispatch_symbolic_meta_inplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0479756Z   test_dispatch_symbolic_meta_inplace_short_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0479964Z   test_dispatch_symbolic_meta_inplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0480165Z   test_dispatch_symbolic_meta_inplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0480365Z   test_dispatch_symbolic_meta_inplace_short_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0480557Z   test_dispatch_symbolic_meta_inplace_short_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0480775Z   test_dispatch_symbolic_meta_inplace_short_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0480970Z   test_dispatch_symbolic_meta_inplace_short_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0481192Z   test_dispatch_symbolic_meta_inplace_short_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0481392Z   test_dispatch_symbolic_meta_inplace_short_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0481593Z   test_dispatch_symbolic_meta_inplace_short_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0481778Z   test_dispatch_symbolic_meta_inplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0481954Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0482154Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0482329Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0482506Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0482679Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0482846Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0483011Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0483181Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0483372Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0483570Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0483759Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0483956Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0484143Z   test_dispatch_symbolic_meta_inplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0484309Z   test_dispatch_symbolic_meta_inplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0484477Z   test_dispatch_symbolic_meta_inplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0484648Z   test_dispatch_symbolic_meta_inplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0484813Z   test_dispatch_symbolic_meta_inplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0484971Z   test_dispatch_symbolic_meta_inplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0485137Z   test_dispatch_symbolic_meta_inplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0485298Z   test_dispatch_symbolic_meta_inplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0485453Z   test_dispatch_symbolic_meta_inplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0485615Z   test_dispatch_symbolic_meta_inplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0485771Z   test_dispatch_symbolic_meta_inplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0486020Z   test_dispatch_symbolic_meta_inplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0486236Z   test_dispatch_symbolic_meta_inplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0486444Z   test_dispatch_symbolic_meta_inplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0486671Z   test_dispatch_symbolic_meta_inplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0486886Z   test_dispatch_symbolic_meta_inplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0487113Z   test_dispatch_symbolic_meta_inplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0487343Z   test_dispatch_symbolic_meta_inplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0487558Z   test_dispatch_symbolic_meta_inplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0487783Z   test_dispatch_symbolic_meta_inplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0488000Z   test_dispatch_symbolic_meta_inplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0488208Z   test_dispatch_symbolic_meta_inplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0488414Z   test_dispatch_symbolic_meta_inplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0488630Z   test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0488839Z   test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0489047Z   test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0489244Z   test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0489447Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0489656Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0489861Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0490058Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0490254Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0490452Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0490647Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0490839Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0491059Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0491249Z   test_dispatch_symbolic_meta_inplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0491436Z   test_dispatch_symbolic_meta_inplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0491628Z   test_dispatch_symbolic_meta_inplace_sin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0491799Z   test_dispatch_symbolic_meta_inplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0491968Z   test_dispatch_symbolic_meta_inplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0492135Z   test_dispatch_symbolic_meta_inplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0492302Z   test_dispatch_symbolic_meta_inplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0492469Z   test_dispatch_symbolic_meta_inplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0492632Z   test_dispatch_symbolic_meta_inplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0492820Z   test_dispatch_symbolic_meta_inplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0493011Z   test_dispatch_symbolic_meta_inplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0493204Z   test_dispatch_symbolic_meta_inplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0493397Z   test_dispatch_symbolic_meta_inplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0493584Z   test_dispatch_symbolic_meta_inplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0493753Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0493941Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0494115Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0494282Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0494448Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0494606Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0494769Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0494964Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0495157Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0495345Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0495537Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0495732Z   test_dispatch_symbolic_meta_inplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0495899Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0496089Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0496279Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0496450Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0496617Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0496800Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0496964Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0497127Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0497315Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0497507Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0497692Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0497871Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0498064Z   test_dispatch_symbolic_meta_inplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0498276Z   test_dispatch_symbolic_meta_inplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0498477Z   test_dispatch_symbolic_meta_inplace_slice_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0498682Z   test_dispatch_symbolic_meta_inplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499012Z   test_dispatch_symbolic_meta_inplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499211Z   test_dispatch_symbolic_meta_inplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499411Z   test_dispatch_symbolic_meta_inplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499609Z   test_dispatch_symbolic_meta_inplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499799Z   test_dispatch_symbolic_meta_inplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0499989Z   test_dispatch_symbolic_meta_inplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0500184Z   test_dispatch_symbolic_meta_inplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0500388Z   test_dispatch_symbolic_meta_inplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0500585Z   test_dispatch_symbolic_meta_inplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0500784Z   test_dispatch_symbolic_meta_inplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0500997Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0501205Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0501413Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0501664Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0501869Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0502074Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0502311Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0502515Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0502722Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0502928Z   test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0503136Z   test_dispatch_symbolic_meta_inplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0503338Z   test_dispatch_symbolic_meta_inplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0503534Z   test_dispatch_symbolic_meta_inplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0503727Z   test_dispatch_symbolic_meta_inplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0503942Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0504160Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0504371Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0504589Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0504807Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0505019Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0505232Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0505444Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0505653Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0505863Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0506073Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0506278Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0506479Z   test_dispatch_symbolic_meta_inplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0506696Z   test_dispatch_symbolic_meta_inplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0506888Z   test_dispatch_symbolic_meta_inplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0507076Z   test_dispatch_symbolic_meta_inplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0507296Z   test_dispatch_symbolic_meta_inplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0507495Z   test_dispatch_symbolic_meta_inplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0507690Z   test_dispatch_symbolic_meta_inplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0507889Z   test_dispatch_symbolic_meta_inplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0508083Z   test_dispatch_symbolic_meta_inplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0508306Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0508527Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0508735Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0508943Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0509155Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0509371Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0509581Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0509790Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0509995Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0510196Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0510485Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0510688Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0510898Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0511104Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0511314Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0511527Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0511732Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0511958Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0512167Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0512393Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0512597Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0512807Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0513022Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0513227Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0513419Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0513624Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0513834Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0514035Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0514237Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0514445Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0514653Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0514857Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0515056Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0515256Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0515458Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0515651Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0515853Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0516062Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0516271Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0516471Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0516673Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0516893Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0517096Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0517315Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0517539Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0517767Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0517990Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0518213Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0518436Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0518658Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0518879Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0519104Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0519330Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0519553Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0519779Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0520000Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0520216Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0520425Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0520649Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0520872Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0521359Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0521728Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0522095Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0522483Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0522835Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0523216Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0523577Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0523932Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0524284Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0524642Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0524998Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0525359Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0525714Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0526066Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0526426Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0526776Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0526990Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0527198Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0527409Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0527617Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0527822Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0528028Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0528228Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0528426Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0528656Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0528867Z   test_dispatch_symbolic_meta_inplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0529099Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0529308Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0529517Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0529725Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0529933Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0530139Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0530339Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0530533Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0530756Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0530984Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0531213Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0531436Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0531658Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0531878Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0532098Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0532319Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0532536Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0532760Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0532984Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0533205Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0533425Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0533673Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0533891Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0534131Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0534337Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0534543Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0534749Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0534955Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0535161Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0535359Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0535564Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0535764Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0535971Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0536173Z   test_dispatch_symbolic_meta_inplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0536377Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0536580Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0536786Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0536987Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0537186Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0537391Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0537584Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0537784Z   test_dispatch_symbolic_meta_inplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0537989Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0538193Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0538400Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0538600Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0538961Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0539167Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0539407Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0539605Z   test_dispatch_symbolic_meta_inplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0539824Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0540050Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0540281Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0540500Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0540723Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0540943Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0541162Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0541383Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0541752Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0542120Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0542489Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0542850Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0543198Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0543547Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0543907Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0544255Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0544464Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0544706Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0544921Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0545129Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0545361Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0545564Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0545771Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0545975Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0546187Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0546406Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0546631Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0546850Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0547070Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0547286Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0547503Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0547722Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0547938Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0548156Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0548377Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0548584Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0548797Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0549013Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0549231Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0549451Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0549688Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0549904Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0550122Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0550421Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0550661Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0550874Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0551081Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0551291Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0551515Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0551730Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0551946Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0552158Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0552369Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0552585Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0552802Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0553013Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0553224Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0553435Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0553634Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0553840Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0554044Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0554249Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0554455Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0554660Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0554893Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0555094Z   test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0555316Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0555527Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0555727Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0555935Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0556143Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0556349Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0556549Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0556751Z   test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0556985Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0557218Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0557445Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0557665Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0557900Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0558116Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0558337Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0558565Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0558787Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0559017Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0559248Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0559477Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0559726Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0559950Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0560167Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0560417Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0560635Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0560845Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0561071Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0561302Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0561522Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0561736Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0561954Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0562176Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0562391Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0562774Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0563158Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0563540Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0563912Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0564283Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0564642Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0565015Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0565377Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0565771Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0566147Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0566547Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0566914Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0567277Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0567637Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0568004Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0568368Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0568731Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0569105Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0569479Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0569845Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0570197Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0570557Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0570923Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0571283Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0571648Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0572016Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0572415Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0572779Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0573137Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0573521Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0573883Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0574245Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0574467Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0574695Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0574910Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0575131Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0575350Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0575573Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0575793Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0576015Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0576231Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0576441Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0576654Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0576864Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0577067Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0577268Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0577477Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0577677Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0577907Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0578108Z   test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0578313Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0578555Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0578778Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0579209Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0579442Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0579646Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0579849Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0580056Z   test_dispatch_symbolic_meta_inplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0580263Z   test_dispatch_symbolic_meta_inplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0580461Z   test_dispatch_symbolic_meta_inplace_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0580668Z   test_dispatch_symbolic_meta_inplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0580871Z   test_dispatch_symbolic_meta_inplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0581071Z   test_dispatch_symbolic_meta_inplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0581274Z   test_dispatch_symbolic_meta_inplace_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0581467Z   test_dispatch_symbolic_meta_inplace_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0581659Z   test_dispatch_symbolic_meta_inplace_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0581847Z   test_dispatch_symbolic_meta_inplace_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0582049Z   test_dispatch_symbolic_meta_inplace_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0582247Z   test_dispatch_symbolic_meta_inplace_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0582448Z   test_dispatch_symbolic_meta_inplace_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0582651Z   test_dispatch_symbolic_meta_inplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0582933Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0583206Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0583540Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0583800Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0584076Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0584380Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0584626Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0584884Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0585162Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0585417Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0585645Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0585877Z   test_dispatch_symbolic_meta_inplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0586115Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0586386Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0586654Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0586914Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0587168Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0587408Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0587674Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0587929Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0588196Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0588464Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0588679Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0588913Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0589113Z   test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0589283Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0589468Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0589743Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0589914Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0590080Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0590358Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0590525Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0590689Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0590882Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0591077Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0591259Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0591449Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0591643Z   test_dispatch_symbolic_meta_inplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0591811Z   test_dispatch_symbolic_meta_inplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0592007Z   test_dispatch_symbolic_meta_inplace_square_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0592178Z   test_dispatch_symbolic_meta_inplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0592347Z   test_dispatch_symbolic_meta_inplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0592514Z   test_dispatch_symbolic_meta_inplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0592681Z   test_dispatch_symbolic_meta_inplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0592844Z   test_dispatch_symbolic_meta_inplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593004Z   test_dispatch_symbolic_meta_inplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593166Z   test_dispatch_symbolic_meta_inplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593328Z   test_dispatch_symbolic_meta_inplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593492Z   test_dispatch_symbolic_meta_inplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593653Z   test_dispatch_symbolic_meta_inplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0593822Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0593982Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594157Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594322Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594486Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594652Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594815Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0594975Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0595170Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0595339Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0595504Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0595689Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0595845Z   test_dispatch_symbolic_meta_inplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0596047Z   test_dispatch_symbolic_meta_inplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0596247Z   test_dispatch_symbolic_meta_inplace_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0596455Z   test_dispatch_symbolic_meta_inplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0596655Z   test_dispatch_symbolic_meta_inplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0596850Z   test_dispatch_symbolic_meta_inplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0597050Z   test_dispatch_symbolic_meta_inplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0597242Z   test_dispatch_symbolic_meta_inplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0597437Z   test_dispatch_symbolic_meta_inplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0597632Z   test_dispatch_symbolic_meta_inplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0597825Z   test_dispatch_symbolic_meta_inplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0598023Z   test_dispatch_symbolic_meta_inplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0598227Z   test_dispatch_symbolic_meta_inplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0598419Z   test_dispatch_symbolic_meta_inplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0598620Z   test_dispatch_symbolic_meta_inplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0598822Z   test_dispatch_symbolic_meta_inplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0599024Z   test_dispatch_symbolic_meta_inplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0599218Z   test_dispatch_symbolic_meta_inplace_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0599411Z   test_dispatch_symbolic_meta_inplace_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0599610Z   test_dispatch_symbolic_meta_inplace_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0599805Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0600013Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0600245Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0600450Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0600652Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0600878Z   test_dispatch_symbolic_meta_inplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0601078Z   test_dispatch_symbolic_meta_inplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0601278Z   test_dispatch_symbolic_meta_inplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0601473Z   test_dispatch_symbolic_meta_inplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0601665Z   test_dispatch_symbolic_meta_inplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0601829Z   test_dispatch_symbolic_meta_inplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0601992Z   test_dispatch_symbolic_meta_inplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602160Z   test_dispatch_symbolic_meta_inplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602325Z   test_dispatch_symbolic_meta_inplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602487Z   test_dispatch_symbolic_meta_inplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602649Z   test_dispatch_symbolic_meta_inplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602811Z   test_dispatch_symbolic_meta_inplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0602975Z   test_dispatch_symbolic_meta_inplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0603134Z   test_dispatch_symbolic_meta_inplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0603283Z   test_dispatch_symbolic_meta_inplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0603444Z   test_dispatch_symbolic_meta_inplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0603606Z   test_dispatch_symbolic_meta_inplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0603807Z   test_dispatch_symbolic_meta_inplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604004Z   test_dispatch_symbolic_meta_inplace_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604209Z   test_dispatch_symbolic_meta_inplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604408Z   test_dispatch_symbolic_meta_inplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604600Z   test_dispatch_symbolic_meta_inplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604799Z   test_dispatch_symbolic_meta_inplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0604994Z   test_dispatch_symbolic_meta_inplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0605182Z   test_dispatch_symbolic_meta_inplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0605375Z   test_dispatch_symbolic_meta_inplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0605593Z   test_dispatch_symbolic_meta_inplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0605788Z   test_dispatch_symbolic_meta_inplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0606007Z   test_dispatch_symbolic_meta_inplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0606195Z   test_dispatch_symbolic_meta_inplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0606401Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0606602Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0606814Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0607023Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0607220Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0607425Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0607629Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0607829Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0608032Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0608233Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0608432Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0608630Z   test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0608831Z   test_dispatch_symbolic_meta_inplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0609026Z   test_dispatch_symbolic_meta_inplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0609221Z   test_dispatch_symbolic_meta_inplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0609409Z   test_dispatch_symbolic_meta_inplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0609610Z   test_dispatch_symbolic_meta_inplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0609817Z   test_dispatch_symbolic_meta_inplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0610021Z   test_dispatch_symbolic_meta_inplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0610226Z   test_dispatch_symbolic_meta_inplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0610427Z   test_dispatch_symbolic_meta_inplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0610645Z   test_dispatch_symbolic_meta_inplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0610807Z   test_dispatch_symbolic_meta_inplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0610990Z   test_dispatch_symbolic_meta_inplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611148Z   test_dispatch_symbolic_meta_inplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611311Z   test_dispatch_symbolic_meta_inplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611473Z   test_dispatch_symbolic_meta_inplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611633Z   test_dispatch_symbolic_meta_inplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611790Z   test_dispatch_symbolic_meta_inplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0611950Z   test_dispatch_symbolic_meta_inplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0612108Z   test_dispatch_symbolic_meta_inplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0612262Z   test_dispatch_symbolic_meta_inplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0612420Z   test_dispatch_symbolic_meta_inplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0612571Z   test_dispatch_symbolic_meta_inplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0612781Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0612987Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0613206Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0613416Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0613624Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0613837Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0614037Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0614241Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0614448Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0614638Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0614839Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0615044Z   test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0615242Z   test_dispatch_symbolic_meta_inplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0615437Z   test_dispatch_symbolic_meta_inplace_take_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0615667Z   test_dispatch_symbolic_meta_inplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0615870Z   test_dispatch_symbolic_meta_inplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0616070Z   test_dispatch_symbolic_meta_inplace_take_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0616402Z   test_dispatch_symbolic_meta_inplace_take_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0616592Z   test_dispatch_symbolic_meta_inplace_take_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0616794Z   test_dispatch_symbolic_meta_inplace_take_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0616983Z   test_dispatch_symbolic_meta_inplace_take_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0617180Z   test_dispatch_symbolic_meta_inplace_take_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0617377Z   test_dispatch_symbolic_meta_inplace_take_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0617572Z   test_dispatch_symbolic_meta_inplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0617741Z   test_dispatch_symbolic_meta_inplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0617933Z   test_dispatch_symbolic_meta_inplace_tan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0618099Z   test_dispatch_symbolic_meta_inplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0618265Z   test_dispatch_symbolic_meta_inplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0618432Z   test_dispatch_symbolic_meta_inplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0618587Z   test_dispatch_symbolic_meta_inplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0618749Z   test_dispatch_symbolic_meta_inplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0619193Z   test_dispatch_symbolic_meta_inplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0619390Z   test_dispatch_symbolic_meta_inplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0619581Z   test_dispatch_symbolic_meta_inplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0619770Z   test_dispatch_symbolic_meta_inplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0619961Z   test_dispatch_symbolic_meta_inplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0620150Z   test_dispatch_symbolic_meta_inplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0620315Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0620496Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0620664Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0620833Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0621001Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0621165Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0621384Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0621550Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0621743Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0621965Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0622144Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0622330Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0622522Z   test_dispatch_symbolic_meta_inplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0622739Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0622946Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0623157Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0623370Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0623578Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0623783Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0623984Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0624186Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0624382Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0624588Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0624797Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0624996Z   test_dispatch_symbolic_meta_inplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0625203Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0625408Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0625616Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0625821Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0626018Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0626219Z   test_dispatch_symbolic_meta_inplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0626412Z   test_dispatch_symbolic_meta_inplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0626637Z   test_dispatch_symbolic_meta_inplace_tile_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0626842Z   test_dispatch_symbolic_meta_inplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0627069Z   test_dispatch_symbolic_meta_inplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0627271Z   test_dispatch_symbolic_meta_inplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0627463Z   test_dispatch_symbolic_meta_inplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0627650Z   test_dispatch_symbolic_meta_inplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0627848Z   test_dispatch_symbolic_meta_inplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0628045Z   test_dispatch_symbolic_meta_inplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0628239Z   test_dispatch_symbolic_meta_inplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0628426Z   test_dispatch_symbolic_meta_inplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0628619Z   test_dispatch_symbolic_meta_inplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0628817Z   test_dispatch_symbolic_meta_inplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629011Z   test_dispatch_symbolic_meta_inplace_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629213Z   test_dispatch_symbolic_meta_inplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629406Z   test_dispatch_symbolic_meta_inplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629600Z   test_dispatch_symbolic_meta_inplace_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629794Z   test_dispatch_symbolic_meta_inplace_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0629990Z   test_dispatch_symbolic_meta_inplace_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0630188Z   test_dispatch_symbolic_meta_inplace_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0630478Z   test_dispatch_symbolic_meta_inplace_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0630675Z   test_dispatch_symbolic_meta_inplace_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0630868Z   test_dispatch_symbolic_meta_inplace_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0631066Z   test_dispatch_symbolic_meta_inplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0631274Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0631479Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0631715Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0631923Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0632129Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0632361Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0632564Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0632758Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0632953Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0633151Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0633351Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0633546Z   test_dispatch_symbolic_meta_inplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0633744Z   test_dispatch_symbolic_meta_inplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0633941Z   test_dispatch_symbolic_meta_inplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0634136Z   test_dispatch_symbolic_meta_inplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0634329Z   test_dispatch_symbolic_meta_inplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0634524Z   test_dispatch_symbolic_meta_inplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0634715Z   test_dispatch_symbolic_meta_inplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0634911Z   test_dispatch_symbolic_meta_inplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0635106Z   test_dispatch_symbolic_meta_inplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0635298Z   test_dispatch_symbolic_meta_inplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0635502Z   test_dispatch_symbolic_meta_inplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0635696Z   test_dispatch_symbolic_meta_inplace_trace_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0635902Z   test_dispatch_symbolic_meta_inplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0636108Z   test_dispatch_symbolic_meta_inplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0636305Z   test_dispatch_symbolic_meta_inplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0636503Z   test_dispatch_symbolic_meta_inplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0636688Z   test_dispatch_symbolic_meta_inplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0636903Z   test_dispatch_symbolic_meta_inplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0637101Z   test_dispatch_symbolic_meta_inplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0637322Z   test_dispatch_symbolic_meta_inplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0637521Z   test_dispatch_symbolic_meta_inplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0637716Z   test_dispatch_symbolic_meta_inplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0637912Z   test_dispatch_symbolic_meta_inplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0638090Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0638259Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0638437Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0638607Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0638784Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0638958Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639130Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639300Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639472Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639638Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639799Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0639971Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0640132Z   test_dispatch_symbolic_meta_inplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0640340Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0640554Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0640766Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0640970Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0641176Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0641385Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0641591Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0641787Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0641980Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0642202Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0642399Z   test_dispatch_symbolic_meta_inplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0642624Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0642829Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0643033Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0643231Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0643427Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0643619Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0643816Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0644015Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0644205Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0644405Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0644603Z   test_dispatch_symbolic_meta_inplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0644819Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0645034Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0645250Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0645460Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0645624Z   test_dispatch_symbolic_meta_inplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0645795Z   test_dispatch_symbolic_meta_inplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0645965Z   test_dispatch_symbolic_meta_inplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646124Z   test_dispatch_symbolic_meta_inplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646290Z   test_dispatch_symbolic_meta_inplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646458Z   test_dispatch_symbolic_meta_inplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646623Z   test_dispatch_symbolic_meta_inplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646785Z   test_dispatch_symbolic_meta_inplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0646945Z   test_dispatch_symbolic_meta_inplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0647101Z   test_dispatch_symbolic_meta_inplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0647288Z   test_dispatch_symbolic_meta_inplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0647444Z   test_dispatch_symbolic_meta_inplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0647643Z   test_dispatch_symbolic_meta_inplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0647869Z   test_dispatch_symbolic_meta_inplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0648032Z   test_dispatch_symbolic_meta_inplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0648201Z   test_dispatch_symbolic_meta_inplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0648368Z   test_dispatch_symbolic_meta_inplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0648534Z   test_dispatch_symbolic_meta_inplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0648701Z   test_dispatch_symbolic_meta_inplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0648866Z   test_dispatch_symbolic_meta_inplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649028Z   test_dispatch_symbolic_meta_inplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649179Z   test_dispatch_symbolic_meta_inplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649338Z   test_dispatch_symbolic_meta_inplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649492Z   test_dispatch_symbolic_meta_inplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649651Z   test_dispatch_symbolic_meta_inplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0649804Z   test_dispatch_symbolic_meta_inplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0650008Z   test_dispatch_symbolic_meta_inplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0650216Z   test_dispatch_symbolic_meta_inplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0650393Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0650594Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0650764Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0650940Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0651117Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0651297Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0651470Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0651643Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0651849Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0652047Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0652245Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0652436Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0652659Z   test_dispatch_symbolic_meta_inplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0652828Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0652996Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0653209Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0653376Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0653540Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0653706Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0653871Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0654027Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0654185Z   test_dispatch_symbolic_meta_inplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0654391Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0654592Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0654802Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655007Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655215Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655417Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655612Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655806Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0655996Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0656190Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0656379Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0656578Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0656777Z   test_dispatch_symbolic_meta_inplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0656985Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0657183Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0657393Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0657604Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0657837Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0658043Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0658238Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0658473Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0658675Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0659036Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0659291Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0659494Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0659691Z   test_dispatch_symbolic_meta_inplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0659901Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0660104Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0660316Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0660521Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0660729Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0660937Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0661140Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0661345Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0661547Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0661749Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0661952Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0662153Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0662353Z   test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0662550Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0662741Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0662939Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0663206Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0663412Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0663646Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0663841Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0664034Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0664231Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0664427Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0664614Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0664801Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0665002Z   test_dispatch_symbolic_meta_inplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0665175Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0665351Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0665523Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0665694Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0665858Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0666020Z   test_dispatch_symbolic_meta_inplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0666239Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0666449Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0666663Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0666877Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0667093Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0667305Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0667519Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0667730Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0667935Z   test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0668132Z   test_dispatch_symbolic_meta_inplace_unique_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0668360Z   test_dispatch_symbolic_meta_inplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0668557Z   test_dispatch_symbolic_meta_inplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0668767Z   test_dispatch_symbolic_meta_inplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0668965Z   test_dispatch_symbolic_meta_inplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0669163Z   test_dispatch_symbolic_meta_inplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0669355Z   test_dispatch_symbolic_meta_inplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0669555Z   test_dispatch_symbolic_meta_inplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0669753Z   test_dispatch_symbolic_meta_inplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0669926Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0670096Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0670345Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0670543Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0670730Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0670907Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671077Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671240Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671406Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671575Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671735Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0671899Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0672058Z   test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0672254Z   test_dispatch_symbolic_meta_inplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0672454Z   test_dispatch_symbolic_meta_inplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0672655Z   test_dispatch_symbolic_meta_inplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0672851Z   test_dispatch_symbolic_meta_inplace_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0673047Z   test_dispatch_symbolic_meta_inplace_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0673243Z   test_dispatch_symbolic_meta_inplace_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0673450Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0673686Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0673893Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0674125Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0674318Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0674521Z   test_dispatch_symbolic_meta_inplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0674722Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0674927Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0675128Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0675324Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0675518Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0675710Z   test_dispatch_symbolic_meta_inplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0675921Z   test_dispatch_symbolic_meta_inplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0676132Z   test_dispatch_symbolic_meta_inplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0676328Z   test_dispatch_symbolic_meta_inplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0676528Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0676729Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0676936Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0677139Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0677342Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0677545Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0677740Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0677932Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0678129Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0678312Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0678501Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0678725Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0678924Z   test_dispatch_symbolic_meta_inplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0679158Z   test_dispatch_symbolic_meta_inplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0679367Z   test_dispatch_symbolic_meta_inplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0679572Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0679773Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0679977Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0680181Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0680383Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0680578Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0680774Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0680966Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0681170Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0681361Z   test_dispatch_symbolic_meta_inplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0681559Z   test_dispatch_symbolic_meta_inplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0681758Z   test_dispatch_symbolic_meta_inplace_view_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0681958Z   test_dispatch_symbolic_meta_inplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0682157Z   test_dispatch_symbolic_meta_inplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0682353Z   test_dispatch_symbolic_meta_inplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0682543Z   test_dispatch_symbolic_meta_inplace_view_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0682734Z   test_dispatch_symbolic_meta_inplace_view_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0682925Z   test_dispatch_symbolic_meta_inplace_view_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0683124Z   test_dispatch_symbolic_meta_inplace_view_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0683320Z   test_dispatch_symbolic_meta_inplace_view_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0683515Z   test_dispatch_symbolic_meta_inplace_view_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0683737Z   test_dispatch_symbolic_meta_inplace_view_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0683937Z   test_dispatch_symbolic_meta_inplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0684140Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0684363Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0684559Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0684763Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0684969Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0685168Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0685360Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0685554Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0685752Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0685944Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0686133Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0686334Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0686521Z   test_dispatch_symbolic_meta_inplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0686724Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0686920Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0687125Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0687326Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0687532Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0687731Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0687925Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0688118Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0688313Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0688504Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0688713Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0688910Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0689105Z   test_dispatch_symbolic_meta_inplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0689522Z   test_dispatch_symbolic_meta_inplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0689721Z   test_dispatch_symbolic_meta_inplace_where_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0689921Z   test_dispatch_symbolic_meta_inplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0690123Z   test_dispatch_symbolic_meta_inplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0690321Z   test_dispatch_symbolic_meta_inplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0690517Z   test_dispatch_symbolic_meta_inplace_where_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0690711Z   test_dispatch_symbolic_meta_inplace_where_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0690893Z   test_dispatch_symbolic_meta_inplace_where_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0691088Z   test_dispatch_symbolic_meta_inplace_where_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0691287Z   test_dispatch_symbolic_meta_inplace_where_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0691486Z   test_dispatch_symbolic_meta_inplace_where_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0691682Z   test_dispatch_symbolic_meta_inplace_where_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0691874Z   test_dispatch_symbolic_meta_inplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0692046Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0692241Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0692409Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0692574Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0692731Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0692930Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0693126Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0693315Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0693506Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0693690Z   test_dispatch_symbolic_meta_inplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0693855Z   test_dispatch_symbolic_meta_inplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694017Z   test_dispatch_symbolic_meta_inplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694240Z   test_dispatch_symbolic_meta_inplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694402Z   test_dispatch_symbolic_meta_inplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694564Z   test_dispatch_symbolic_meta_inplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694752Z   test_dispatch_symbolic_meta_inplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0694914Z   test_dispatch_symbolic_meta_inplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695077Z   test_dispatch_symbolic_meta_inplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695239Z   test_dispatch_symbolic_meta_inplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695401Z   test_dispatch_symbolic_meta_inplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695561Z   test_dispatch_symbolic_meta_inplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695715Z   test_dispatch_symbolic_meta_inplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0695912Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0696114Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0696320Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0696522Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0696718Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0696922Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0697117Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0697310Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0697507Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0697704Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0697892Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0698092Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0698285Z   test_dispatch_symbolic_meta_inplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0698492Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0698691Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0699184Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0699400Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0699670Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0699880Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0700084Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0700312Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0700513Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0700718Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0700920Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0701117Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0701313Z   test_dispatch_symbolic_meta_inplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.0701479Z   test_dispatch_symbolic_meta_outplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0701639Z   test_dispatch_symbolic_meta_outplace_H_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0701805Z   test_dispatch_symbolic_meta_outplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0701970Z   test_dispatch_symbolic_meta_outplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0702128Z   test_dispatch_symbolic_meta_outplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0702292Z   test_dispatch_symbolic_meta_outplace_H_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0702453Z   test_dispatch_symbolic_meta_outplace_H_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0702610Z   test_dispatch_symbolic_meta_outplace_H_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0702771Z   test_dispatch_symbolic_meta_outplace_H_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0702930Z   test_dispatch_symbolic_meta_outplace_H_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0703083Z   test_dispatch_symbolic_meta_outplace_H_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0703240Z   test_dispatch_symbolic_meta_outplace_H_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0703385Z   test_dispatch_symbolic_meta_outplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0703551Z   test_dispatch_symbolic_meta_outplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0703711Z   test_dispatch_symbolic_meta_outplace_T_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0703878Z   test_dispatch_symbolic_meta_outplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704045Z   test_dispatch_symbolic_meta_outplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704210Z   test_dispatch_symbolic_meta_outplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704369Z   test_dispatch_symbolic_meta_outplace_T_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704527Z   test_dispatch_symbolic_meta_outplace_T_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704683Z   test_dispatch_symbolic_meta_outplace_T_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0704830Z   test_dispatch_symbolic_meta_outplace_T_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0705024Z   test_dispatch_symbolic_meta_outplace_T_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0705178Z   test_dispatch_symbolic_meta_outplace_T_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0705336Z   test_dispatch_symbolic_meta_outplace_T_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0705515Z   test_dispatch_symbolic_meta_outplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0705690Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0705860Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0706037Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0706215Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0706385Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0706559Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0706735Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0706907Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707080Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707243Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707406Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707578Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707742Z   test_dispatch_symbolic_meta_outplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0707897Z   test_dispatch_symbolic_meta_outplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0708065Z   test_dispatch_symbolic_meta_outplace___radd___cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0708235Z   test_dispatch_symbolic_meta_outplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0708408Z   test_dispatch_symbolic_meta_outplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0708574Z   test_dispatch_symbolic_meta_outplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0708736Z   test_dispatch_symbolic_meta_outplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0708899Z   test_dispatch_symbolic_meta_outplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709063Z   test_dispatch_symbolic_meta_outplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709223Z   test_dispatch_symbolic_meta_outplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709375Z   test_dispatch_symbolic_meta_outplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709535Z   test_dispatch_symbolic_meta_outplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709703Z   test_dispatch_symbolic_meta_outplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0709867Z   test_dispatch_symbolic_meta_outplace___rand___cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0710033Z   test_dispatch_symbolic_meta_outplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0710223Z   test_dispatch_symbolic_meta_outplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0710706Z   test_dispatch_symbolic_meta_outplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0710868Z   test_dispatch_symbolic_meta_outplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0711056Z   test_dispatch_symbolic_meta_outplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0711226Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0711390Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0711562Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0711732Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0711906Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0712070Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0712230Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0712392Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0712541Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0712698Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0712857Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0713021Z   test_dispatch_symbolic_meta_outplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0713196Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0713375Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0713548Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0713721Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0713890Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0714054Z   test_dispatch_symbolic_meta_outplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0714222Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0714387Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0714551Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0714723Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0714886Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0715050Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0715208Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0715370Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0715523Z   test_dispatch_symbolic_meta_outplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0715692Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0715884Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0716060Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0716230Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0716426Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0716587Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0716749Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0716909Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717059Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717220Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717379Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717540Z   test_dispatch_symbolic_meta_outplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717705Z   test_dispatch_symbolic_meta_outplace___ror___cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0717868Z   test_dispatch_symbolic_meta_outplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0718030Z   test_dispatch_symbolic_meta_outplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0718189Z   test_dispatch_symbolic_meta_outplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0718347Z   test_dispatch_symbolic_meta_outplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0718502Z   test_dispatch_symbolic_meta_outplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0718671Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0718842Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0719019Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0719186Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0719349Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0719511Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0719671Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0719823Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0719979Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0720137Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0720302Z   test_dispatch_symbolic_meta_outplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0720468Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0720638Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0720807Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721001Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0721165Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721319Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721505Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721664Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721822Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0721979Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722136Z   test_dispatch_symbolic_meta_outplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722298Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722460Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722620Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722771Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0722932Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0723097Z   test_dispatch_symbolic_meta_outplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0723284Z   test_dispatch_symbolic_meta_outplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0723469Z   test_dispatch_symbolic_meta_outplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0723651Z   test_dispatch_symbolic_meta_outplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0723828Z   test_dispatch_symbolic_meta_outplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0723993Z   test_dispatch_symbolic_meta_outplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0724160Z   test_dispatch_symbolic_meta_outplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0724316Z   test_dispatch_symbolic_meta_outplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0724479Z   test_dispatch_symbolic_meta_outplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0724643Z   test_dispatch_symbolic_meta_outplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0724808Z   test_dispatch_symbolic_meta_outplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0724977Z   test_dispatch_symbolic_meta_outplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725140Z   test_dispatch_symbolic_meta_outplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725301Z   test_dispatch_symbolic_meta_outplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725463Z   test_dispatch_symbolic_meta_outplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725619Z   test_dispatch_symbolic_meta_outplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725771Z   test_dispatch_symbolic_meta_outplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0725925Z   test_dispatch_symbolic_meta_outplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0726093Z   test_dispatch_symbolic_meta_outplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0726282Z   test_dispatch_symbolic_meta_outplace_acos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0726458Z   test_dispatch_symbolic_meta_outplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0726623Z   test_dispatch_symbolic_meta_outplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0726820Z   test_dispatch_symbolic_meta_outplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0726985Z   test_dispatch_symbolic_meta_outplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727149Z   test_dispatch_symbolic_meta_outplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727307Z   test_dispatch_symbolic_meta_outplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727471Z   test_dispatch_symbolic_meta_outplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727635Z   test_dispatch_symbolic_meta_outplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727796Z   test_dispatch_symbolic_meta_outplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0727953Z   test_dispatch_symbolic_meta_outplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728116Z   test_dispatch_symbolic_meta_outplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728282Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728443Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728607Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728776Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0728942Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729110Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729276Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729439Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729603Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729765Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0729930Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0730082Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0730240Z   test_dispatch_symbolic_meta_outplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0730407Z   test_dispatch_symbolic_meta_outplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0730571Z   test_dispatch_symbolic_meta_outplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0730738Z   test_dispatch_symbolic_meta_outplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0730904Z   test_dispatch_symbolic_meta_outplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0731067Z   test_dispatch_symbolic_meta_outplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0731231Z   test_dispatch_symbolic_meta_outplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0731395Z   test_dispatch_symbolic_meta_outplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0731547Z   test_dispatch_symbolic_meta_outplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0731802Z   test_dispatch_symbolic_meta_outplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0731965Z   test_dispatch_symbolic_meta_outplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0732119Z   test_dispatch_symbolic_meta_outplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0732303Z   test_dispatch_symbolic_meta_outplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0732458Z   test_dispatch_symbolic_meta_outplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0732629Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0732801Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0732963Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0733131Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0733294Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0733455Z   test_dispatch_symbolic_meta_outplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0733624Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.0733796Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0733971Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0734141Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0734306Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0734464Z   test_dispatch_symbolic_meta_outplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0734636Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0734812Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0734987Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0735157Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0735320Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0735483Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0735646Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0735813Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0735969Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0736135Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0736299Z   test_dispatch_symbolic_meta_outplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0736469Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0736639Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0736808Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0736969Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0737158Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0737320Z   test_dispatch_symbolic_meta_outplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0737495Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0737705Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0737890Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0738070Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0738251Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0738427Z   test_dispatch_symbolic_meta_outplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0738594Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0738765Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0739137Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0739310Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0739472Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0739637Z   test_dispatch_symbolic_meta_outplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0739799Z   test_dispatch_symbolic_meta_outplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0739968Z   test_dispatch_symbolic_meta_outplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0740136Z   test_dispatch_symbolic_meta_outplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0740303Z   test_dispatch_symbolic_meta_outplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0740471Z   test_dispatch_symbolic_meta_outplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0740635Z   test_dispatch_symbolic_meta_outplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0740792Z   test_dispatch_symbolic_meta_outplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0740955Z   test_dispatch_symbolic_meta_outplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0741119Z   test_dispatch_symbolic_meta_outplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0741284Z   test_dispatch_symbolic_meta_outplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0741445Z   test_dispatch_symbolic_meta_outplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0741601Z   test_dispatch_symbolic_meta_outplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0741764Z   test_dispatch_symbolic_meta_outplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0741929Z   test_dispatch_symbolic_meta_outplace_all_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0742089Z   test_dispatch_symbolic_meta_outplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0742252Z   test_dispatch_symbolic_meta_outplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0742416Z   test_dispatch_symbolic_meta_outplace_all_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0742578Z   test_dispatch_symbolic_meta_outplace_all_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0742799Z   test_dispatch_symbolic_meta_outplace_all_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0742961Z   test_dispatch_symbolic_meta_outplace_all_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0743120Z   test_dispatch_symbolic_meta_outplace_all_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0743306Z   test_dispatch_symbolic_meta_outplace_all_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0743463Z   test_dispatch_symbolic_meta_outplace_all_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0743610Z   test_dispatch_symbolic_meta_outplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0743786Z   test_dispatch_symbolic_meta_outplace_all_strides_H_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0743963Z   test_dispatch_symbolic_meta_outplace_all_strides_T_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0744150Z   test_dispatch_symbolic_meta_outplace_all_strides___getitem___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.0744330Z   test_dispatch_symbolic_meta_outplace_all_strides___radd___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0744509Z   test_dispatch_symbolic_meta_outplace_all_strides___rand___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0744688Z   test_dispatch_symbolic_meta_outplace_all_strides___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.0744876Z   test_dispatch_symbolic_meta_outplace_all_strides___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.0745058Z   test_dispatch_symbolic_meta_outplace_all_strides___rmod___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0745225Z   test_dispatch_symbolic_meta_outplace_all_strides___rmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0745403Z   test_dispatch_symbolic_meta_outplace_all_strides___ror___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.0745576Z   test_dispatch_symbolic_meta_outplace_all_strides___rpow___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:56.0745749Z   test_dispatch_symbolic_meta_outplace_all_strides___rsub___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0745926Z   test_dispatch_symbolic_meta_outplace_all_strides___rxor___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0746123Z   test_dispatch_symbolic_meta_outplace_all_strides__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.0746302Z   test_dispatch_symbolic_meta_outplace_all_strides_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0746480Z   test_dispatch_symbolic_meta_outplace_all_strides_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0746663Z   test_dispatch_symbolic_meta_outplace_all_strides_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0746831Z   test_dispatch_symbolic_meta_outplace_all_strides_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.0747011Z   test_dispatch_symbolic_meta_outplace_all_strides_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.186s)
2022-11-23T01:45:56.0747194Z   test_dispatch_symbolic_meta_outplace_all_strides_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.372s)
2022-11-23T01:45:56.0747374Z   test_dispatch_symbolic_meta_outplace_all_strides_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.374s)
2022-11-23T01:45:56.0747552Z   test_dispatch_symbolic_meta_outplace_all_strides_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:56.0747746Z   test_dispatch_symbolic_meta_outplace_all_strides_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:56.0747950Z   test_dispatch_symbolic_meta_outplace_all_strides_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0748128Z   test_dispatch_symbolic_meta_outplace_all_strides_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:56.0748303Z   test_dispatch_symbolic_meta_outplace_all_strides_all_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.0748508Z   test_dispatch_symbolic_meta_outplace_all_strides_allclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.253s)
2022-11-23T01:45:56.0748679Z   test_dispatch_symbolic_meta_outplace_all_strides_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.0748856Z   test_dispatch_symbolic_meta_outplace_all_strides_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.0749035Z   test_dispatch_symbolic_meta_outplace_all_strides_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0749210Z   test_dispatch_symbolic_meta_outplace_all_strides_angle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0749393Z   test_dispatch_symbolic_meta_outplace_all_strides_any_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.0749571Z   test_dispatch_symbolic_meta_outplace_all_strides_arange_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0757725Z   test_dispatch_symbolic_meta_outplace_all_strides_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.0757962Z   test_dispatch_symbolic_meta_outplace_all_strides_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0758147Z   test_dispatch_symbolic_meta_outplace_all_strides_argsort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.0758330Z   test_dispatch_symbolic_meta_outplace_all_strides_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0758508Z   test_dispatch_symbolic_meta_outplace_all_strides_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0758703Z   test_dispatch_symbolic_meta_outplace_all_strides_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0758882Z   test_dispatch_symbolic_meta_outplace_all_strides_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0759062Z   test_dispatch_symbolic_meta_outplace_all_strides_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0759242Z   test_dispatch_symbolic_meta_outplace_all_strides_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0759419Z   test_dispatch_symbolic_meta_outplace_all_strides_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0759594Z   test_dispatch_symbolic_meta_outplace_all_strides_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0759776Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0759959Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0760126Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0760308Z   test_dispatch_symbolic_meta_outplace_all_strides_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.156s)
2022-11-23T01:45:56.0760492Z   test_dispatch_symbolic_meta_outplace_all_strides_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0760676Z   test_dispatch_symbolic_meta_outplace_all_strides_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0760855Z   test_dispatch_symbolic_meta_outplace_all_strides_bincount_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0761037Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.0761226Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.0761460Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0761641Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0761862Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0762033Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:56.0762221Z   test_dispatch_symbolic_meta_outplace_all_strides_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.0762400Z   test_dispatch_symbolic_meta_outplace_all_strides_bmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0762580Z   test_dispatch_symbolic_meta_outplace_all_strides_bool_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0762774Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0762964Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.0763155Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0763335Z   test_dispatch_symbolic_meta_outplace_all_strides_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0763511Z   test_dispatch_symbolic_meta_outplace_all_strides_byte_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0763692Z   test_dispatch_symbolic_meta_outplace_all_strides_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.0763868Z   test_dispatch_symbolic_meta_outplace_all_strides_cat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0764051Z   test_dispatch_symbolic_meta_outplace_all_strides_cdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.918s)
2022-11-23T01:45:56.0764232Z   test_dispatch_symbolic_meta_outplace_all_strides_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0764409Z   test_dispatch_symbolic_meta_outplace_all_strides_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0764592Z   test_dispatch_symbolic_meta_outplace_all_strides_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0764769Z   test_dispatch_symbolic_meta_outplace_all_strides_chalf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0764944Z   test_dispatch_symbolic_meta_outplace_all_strides_char_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0765124Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.0765311Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0765500Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.103s)
2022-11-23T01:45:56.0765678Z   test_dispatch_symbolic_meta_outplace_all_strides_chunk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0765859Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:56.0766038Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.130s)
2022-11-23T01:45:56.0766219Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:56.0766392Z   test_dispatch_symbolic_meta_outplace_all_strides_clone_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0766601Z   test_dispatch_symbolic_meta_outplace_all_strides_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0766782Z   test_dispatch_symbolic_meta_outplace_all_strides_combinations_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.244s)
2022-11-23T01:45:56.0766962Z   test_dispatch_symbolic_meta_outplace_all_strides_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.0767159Z   test_dispatch_symbolic_meta_outplace_all_strides_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0767348Z   test_dispatch_symbolic_meta_outplace_all_strides_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0767537Z   test_dispatch_symbolic_meta_outplace_all_strides_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.0767721Z   test_dispatch_symbolic_meta_outplace_all_strides_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0767906Z   test_dispatch_symbolic_meta_outplace_all_strides_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.123s)
2022-11-23T01:45:56.0768088Z   test_dispatch_symbolic_meta_outplace_all_strides_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0768264Z   test_dispatch_symbolic_meta_outplace_all_strides_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0768441Z   test_dispatch_symbolic_meta_outplace_all_strides_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0768626Z   test_dispatch_symbolic_meta_outplace_all_strides_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.0768792Z   test_dispatch_symbolic_meta_outplace_all_strides_cov_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.916s)
2022-11-23T01:45:56.0768969Z   test_dispatch_symbolic_meta_outplace_all_strides_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0769146Z   test_dispatch_symbolic_meta_outplace_all_strides_cummax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0769328Z   test_dispatch_symbolic_meta_outplace_all_strides_cummin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0769508Z   test_dispatch_symbolic_meta_outplace_all_strides_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0769689Z   test_dispatch_symbolic_meta_outplace_all_strides_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0769885Z   test_dispatch_symbolic_meta_outplace_all_strides_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:56.0770062Z   test_dispatch_symbolic_meta_outplace_all_strides_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0770240Z   test_dispatch_symbolic_meta_outplace_all_strides_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.0770426Z   test_dispatch_symbolic_meta_outplace_all_strides_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.0770602Z   test_dispatch_symbolic_meta_outplace_all_strides_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0770789Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.0770970Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0771164Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.0771342Z   test_dispatch_symbolic_meta_outplace_all_strides_diff_cuda_float32 (__main__.TestMetaCUDA) ... ok (7.388s)
2022-11-23T01:45:56.0771524Z   test_dispatch_symbolic_meta_outplace_all_strides_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.052s)
2022-11-23T01:45:56.0771702Z   test_dispatch_symbolic_meta_outplace_all_strides_dist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.307s)
2022-11-23T01:45:56.0771924Z   test_dispatch_symbolic_meta_outplace_all_strides_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.363s)
2022-11-23T01:45:56.0772121Z   test_dispatch_symbolic_meta_outplace_all_strides_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:56.0772300Z   test_dispatch_symbolic_meta_outplace_all_strides_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.0772501Z   test_dispatch_symbolic_meta_outplace_all_strides_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0772681Z   test_dispatch_symbolic_meta_outplace_all_strides_double_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0772859Z   test_dispatch_symbolic_meta_outplace_all_strides_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0773037Z   test_dispatch_symbolic_meta_outplace_all_strides_dstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0773216Z   test_dispatch_symbolic_meta_outplace_all_strides_einsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0773394Z   test_dispatch_symbolic_meta_outplace_all_strides_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0773579Z   test_dispatch_symbolic_meta_outplace_all_strides_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0773759Z   test_dispatch_symbolic_meta_outplace_all_strides_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.0773927Z   test_dispatch_symbolic_meta_outplace_all_strides_equal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0774102Z   test_dispatch_symbolic_meta_outplace_all_strides_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0774280Z   test_dispatch_symbolic_meta_outplace_all_strides_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.898s)
2022-11-23T01:45:56.0774460Z   test_dispatch_symbolic_meta_outplace_all_strides_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.899s)
2022-11-23T01:45:56.0774637Z   test_dispatch_symbolic_meta_outplace_all_strides_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.875s)
2022-11-23T01:45:56.0774811Z   test_dispatch_symbolic_meta_outplace_all_strides_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0774996Z   test_dispatch_symbolic_meta_outplace_all_strides_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0775177Z   test_dispatch_symbolic_meta_outplace_all_strides_expand_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0775354Z   test_dispatch_symbolic_meta_outplace_all_strides_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0775528Z   test_dispatch_symbolic_meta_outplace_all_strides_eye_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.0775701Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0775886Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0776065Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0776250Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0776433Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.0776611Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.0776792Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.0776973Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0777177Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.0777350Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0777537Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0777743Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.0777922Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.0778104Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.0778280Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0778464Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.0778647Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0779005Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0779250Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0779436Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0779614Z   test_dispatch_symbolic_meta_outplace_all_strides_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0779796Z   test_dispatch_symbolic_meta_outplace_all_strides_flatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0779978Z   test_dispatch_symbolic_meta_outplace_all_strides_flip_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0780159Z   test_dispatch_symbolic_meta_outplace_all_strides_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0780337Z   test_dispatch_symbolic_meta_outplace_all_strides_flipud_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0780520Z   test_dispatch_symbolic_meta_outplace_all_strides_float_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0780705Z   test_dispatch_symbolic_meta_outplace_all_strides_float_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.0780882Z   test_dispatch_symbolic_meta_outplace_all_strides_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0781061Z   test_dispatch_symbolic_meta_outplace_all_strides_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.0781238Z   test_dispatch_symbolic_meta_outplace_all_strides_fmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:56.0781420Z   test_dispatch_symbolic_meta_outplace_all_strides_fmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0781593Z   test_dispatch_symbolic_meta_outplace_all_strides_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:56.0781768Z   test_dispatch_symbolic_meta_outplace_all_strides_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0781945Z   test_dispatch_symbolic_meta_outplace_all_strides_frexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0782116Z   test_dispatch_symbolic_meta_outplace_all_strides_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0782295Z   test_dispatch_symbolic_meta_outplace_all_strides_full_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0782475Z   test_dispatch_symbolic_meta_outplace_all_strides_gather_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0782702Z   test_dispatch_symbolic_meta_outplace_all_strides_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0782883Z   test_dispatch_symbolic_meta_outplace_all_strides_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0783063Z   test_dispatch_symbolic_meta_outplace_all_strides_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:56.0783271Z   test_dispatch_symbolic_meta_outplace_all_strides_gradient_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.521s)
2022-11-23T01:45:56.0783461Z   test_dispatch_symbolic_meta_outplace_all_strides_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (9.585s)
2022-11-23T01:45:56.0783634Z   test_dispatch_symbolic_meta_outplace_all_strides_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0783812Z   test_dispatch_symbolic_meta_outplace_all_strides_half_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0783995Z   test_dispatch_symbolic_meta_outplace_all_strides_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.147s)
2022-11-23T01:45:56.0784172Z   test_dispatch_symbolic_meta_outplace_all_strides_histc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.222s)
2022-11-23T01:45:56.0784344Z   test_dispatch_symbolic_meta_outplace_all_strides_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0784526Z   test_dispatch_symbolic_meta_outplace_all_strides_hstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0784702Z   test_dispatch_symbolic_meta_outplace_all_strides_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0784879Z   test_dispatch_symbolic_meta_outplace_all_strides_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.944s)
2022-11-23T01:45:56.0785061Z   test_dispatch_symbolic_meta_outplace_all_strides_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0785243Z   test_dispatch_symbolic_meta_outplace_all_strides_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0785425Z   test_dispatch_symbolic_meta_outplace_all_strides_imag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0785604Z   test_dispatch_symbolic_meta_outplace_all_strides_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.146s)
2022-11-23T01:45:56.0785790Z   test_dispatch_symbolic_meta_outplace_all_strides_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.0785960Z   test_dispatch_symbolic_meta_outplace_all_strides_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0786142Z   test_dispatch_symbolic_meta_outplace_all_strides_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0786330Z   test_dispatch_symbolic_meta_outplace_all_strides_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.516s)
2022-11-23T01:45:56.0786511Z   test_dispatch_symbolic_meta_outplace_all_strides_index_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0786690Z   test_dispatch_symbolic_meta_outplace_all_strides_inner_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0786867Z   test_dispatch_symbolic_meta_outplace_all_strides_int_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0787046Z   test_dispatch_symbolic_meta_outplace_all_strides_isclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.643s)
2022-11-23T01:45:56.0787231Z   test_dispatch_symbolic_meta_outplace_all_strides_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0787407Z   test_dispatch_symbolic_meta_outplace_all_strides_isin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0787583Z   test_dispatch_symbolic_meta_outplace_all_strides_isinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0787752Z   test_dispatch_symbolic_meta_outplace_all_strides_isnan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0787957Z   test_dispatch_symbolic_meta_outplace_all_strides_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0788140Z   test_dispatch_symbolic_meta_outplace_all_strides_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0788319Z   test_dispatch_symbolic_meta_outplace_all_strides_isreal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0788526Z   test_dispatch_symbolic_meta_outplace_all_strides_istft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.248s)
2022-11-23T01:45:56.0788727Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0788964Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.0789159Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0789367Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0789553Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.865s)
2022-11-23T01:45:56.0789757Z   test_dispatch_symbolic_meta_outplace_all_strides_kron_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.014s)
2022-11-23T01:45:56.0789944Z   test_dispatch_symbolic_meta_outplace_all_strides_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0790123Z   test_dispatch_symbolic_meta_outplace_all_strides_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.138s)
2022-11-23T01:45:56.0790497Z   test_dispatch_symbolic_meta_outplace_all_strides_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:56.0790693Z   test_dispatch_symbolic_meta_outplace_all_strides_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0790894Z   test_dispatch_symbolic_meta_outplace_all_strides_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.585s)
2022-11-23T01:45:56.0791375Z   test_dispatch_symbolic_meta_outplace_all_strides_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.006s)
2022-11-23T01:45:56.0791576Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.0791771Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0791947Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:56.0792130Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0792312Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.0792507Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.147s)
2022-11-23T01:45:56.0792691Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0792875Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0793065Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.121s)
2022-11-23T01:45:56.0793256Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0793458Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.0793631Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.0793849Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0794040Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0794270Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0794457Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:56.0794640Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.0794836Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.0795017Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0795206Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.0795395Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.0795578Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.726s)
2022-11-23T01:45:56.0795773Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.570s)
2022-11-23T01:45:56.0795966Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.291s)
2022-11-23T01:45:56.0796151Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.886s)
2022-11-23T01:45:56.0796356Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.100s)
2022-11-23T01:45:56.0796545Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0796727Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.607s)
2022-11-23T01:45:56.0796941Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.427s)
2022-11-23T01:45:56.0797128Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.0797323Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0797574Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.0797762Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.0797950Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0798138Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.502s)
2022-11-23T01:45:56.0798326Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.100s)
2022-11-23T01:45:56.0798524Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.448s)
2022-11-23T01:45:56.0798708Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.392s)
2022-11-23T01:45:56.0798896Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.153s)
2022-11-23T01:45:56.0799110Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.0799304Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.234s)
2022-11-23T01:45:56.0799504Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.0799684Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.640s)
2022-11-23T01:45:56.0799875Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.707s)
2022-11-23T01:45:56.0800058Z   test_dispatch_symbolic_meta_outplace_all_strides_linspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.0800233Z   test_dispatch_symbolic_meta_outplace_all_strides_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0800414Z   test_dispatch_symbolic_meta_outplace_all_strides_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0800590Z   test_dispatch_symbolic_meta_outplace_all_strides_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0800767Z   test_dispatch_symbolic_meta_outplace_all_strides_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0800951Z   test_dispatch_symbolic_meta_outplace_all_strides_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.0801138Z   test_dispatch_symbolic_meta_outplace_all_strides_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.0801324Z   test_dispatch_symbolic_meta_outplace_all_strides_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0801507Z   test_dispatch_symbolic_meta_outplace_all_strides_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0801697Z   test_dispatch_symbolic_meta_outplace_all_strides_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0801878Z   test_dispatch_symbolic_meta_outplace_all_strides_logdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.0802068Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.395s)
2022-11-23T01:45:56.0802249Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0802435Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:56.0802613Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.112s)
2022-11-23T01:45:56.0802790Z   test_dispatch_symbolic_meta_outplace_all_strides_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0802967Z   test_dispatch_symbolic_meta_outplace_all_strides_logspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.415s)
2022-11-23T01:45:56.0803148Z   test_dispatch_symbolic_meta_outplace_all_strides_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.105s)
2022-11-23T01:45:56.0803325Z   test_dispatch_symbolic_meta_outplace_all_strides_long_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0803505Z   test_dispatch_symbolic_meta_outplace_all_strides_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0803681Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.0803860Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.685s)
2022-11-23T01:45:56.0804039Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0804241Z   test_dispatch_symbolic_meta_outplace_all_strides_mH_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0804417Z   test_dispatch_symbolic_meta_outplace_all_strides_mT_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0804592Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.482s)
2022-11-23T01:45:56.0804822Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.486s)
2022-11-23T01:45:56.0805007Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.283s)
2022-11-23T01:45:56.0805189Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.293s)
2022-11-23T01:45:56.0805374Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.0805563Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:56.0805743Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.0805933Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.0806126Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.238s)
2022-11-23T01:45:56.0806316Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.788s)
2022-11-23T01:45:56.0806489Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.084s)
2022-11-23T01:45:56.0806673Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:56.0806855Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.744s)
2022-11-23T01:45:56.0807045Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.169s)
2022-11-23T01:45:56.0807229Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.560s)
2022-11-23T01:45:56.0807417Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.0807603Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.0807791Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:56.0807975Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.0808152Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (4.449s)
2022-11-23T01:45:56.0808328Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.499s)
2022-11-23T01:45:56.0808512Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (4.230s)
2022-11-23T01:45:56.0808692Z   test_dispatch_symbolic_meta_outplace_all_strides_matmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.399s)
2022-11-23T01:45:56.0808875Z   test_dispatch_symbolic_meta_outplace_all_strides_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0809053Z   test_dispatch_symbolic_meta_outplace_all_strides_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0809264Z   test_dispatch_symbolic_meta_outplace_all_strides_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (10.872s)
2022-11-23T01:45:56.0809480Z   test_dispatch_symbolic_meta_outplace_all_strides_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0809676Z   test_dispatch_symbolic_meta_outplace_all_strides_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0809856Z   test_dispatch_symbolic_meta_outplace_all_strides_maximum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0810051Z   test_dispatch_symbolic_meta_outplace_all_strides_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.0810229Z   test_dispatch_symbolic_meta_outplace_all_strides_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0810427Z   test_dispatch_symbolic_meta_outplace_all_strides_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0810631Z   test_dispatch_symbolic_meta_outplace_all_strides_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.0810813Z   test_dispatch_symbolic_meta_outplace_all_strides_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0811009Z   test_dispatch_symbolic_meta_outplace_all_strides_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0811204Z   test_dispatch_symbolic_meta_outplace_all_strides_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0811385Z   test_dispatch_symbolic_meta_outplace_all_strides_minimum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0811561Z   test_dispatch_symbolic_meta_outplace_all_strides_mm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0811732Z   test_dispatch_symbolic_meta_outplace_all_strides_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0811913Z   test_dispatch_symbolic_meta_outplace_all_strides_movedim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0812093Z   test_dispatch_symbolic_meta_outplace_all_strides_msort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0812268Z   test_dispatch_symbolic_meta_outplace_all_strides_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0812456Z   test_dispatch_symbolic_meta_outplace_all_strides_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.0812634Z   test_dispatch_symbolic_meta_outplace_all_strides_mv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0812827Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.0813024Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.0813249Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.0813446Z   test_dispatch_symbolic_meta_outplace_all_strides_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0813617Z   test_dispatch_symbolic_meta_outplace_all_strides_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.380s)
2022-11-23T01:45:56.0813802Z   test_dispatch_symbolic_meta_outplace_all_strides_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0813990Z   test_dispatch_symbolic_meta_outplace_all_strides_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.624s)
2022-11-23T01:45:56.0814170Z   test_dispatch_symbolic_meta_outplace_all_strides_nansum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.0814385Z   test_dispatch_symbolic_meta_outplace_all_strides_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.0814564Z   test_dispatch_symbolic_meta_outplace_all_strides_narrow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0814777Z   test_dispatch_symbolic_meta_outplace_all_strides_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.177s)
2022-11-23T01:45:56.0814976Z   test_dispatch_symbolic_meta_outplace_all_strides_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.0815162Z   test_dispatch_symbolic_meta_outplace_all_strides_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.283s)
2022-11-23T01:45:56.0815364Z   test_dispatch_symbolic_meta_outplace_all_strides_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.0815534Z   test_dispatch_symbolic_meta_outplace_all_strides_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0815717Z   test_dispatch_symbolic_meta_outplace_all_strides_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0815901Z   test_dispatch_symbolic_meta_outplace_all_strides_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0816085Z   test_dispatch_symbolic_meta_outplace_all_strides_new_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0816266Z   test_dispatch_symbolic_meta_outplace_all_strides_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0816448Z   test_dispatch_symbolic_meta_outplace_all_strides_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0816631Z   test_dispatch_symbolic_meta_outplace_all_strides_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.0816863Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.0817070Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0817269Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0817477Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.0817684Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.0817889Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.0818089Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.0818296Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0818494Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.0818695Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0819087Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0819302Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.825s)
2022-11-23T01:45:56.0819498Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.647s)
2022-11-23T01:45:56.0819699Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.0819920Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.541s)
2022-11-23T01:45:56.0820172Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0820367Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.0820561Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.843s)
2022-11-23T01:45:56.0820794Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.0821001Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.276s)
2022-11-23T01:45:56.0821207Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.292s)
2022-11-23T01:45:56.0821418Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.581s)
2022-11-23T01:45:56.0821624Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.442s)
2022-11-23T01:45:56.0821816Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.456s)
2022-11-23T01:45:56.0822013Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.620s)
2022-11-23T01:45:56.0822209Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0822405Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.0822599Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0822790Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0822988Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.489s)
2022-11-23T01:45:56.0823183Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.0823407Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0823629Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0823828Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.103s)
2022-11-23T01:45:56.0824038Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:56.0824244Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (31.513s)
2022-11-23T01:45:56.0824435Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.0824627Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.0824824Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... ok (9.523s)
2022-11-23T01:45:56.0825021Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.145s)
2022-11-23T01:45:56.0825223Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0825444Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0825642Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0825860Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0826068Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.319s)
2022-11-23T01:45:56.0826264Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.0826467Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.181s)
2022-11-23T01:45:56.0826673Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.0826879Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.582s)
2022-11-23T01:45:56.0827088Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.257s)
2022-11-23T01:45:56.0827293Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0827494Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0827703Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0827898Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.213s)
2022-11-23T01:45:56.0828083Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.0828278Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.0828474Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0828667Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.510s)
2022-11-23T01:45:56.0828874Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.114s)
2022-11-23T01:45:56.0829071Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0829274Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.024s)
2022-11-23T01:45:56.0829464Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.944s)
2022-11-23T01:45:56.0829660Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.145s)
2022-11-23T01:45:56.0829851Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.113s)
2022-11-23T01:45:56.0830046Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.144s)
2022-11-23T01:45:56.0830370Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.303s)
2022-11-23T01:45:56.0830617Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.345s)
2022-11-23T01:45:56.0830823Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.151s)
2022-11-23T01:45:56.0831052Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.904s)
2022-11-23T01:45:56.0831255Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.156s)
2022-11-23T01:45:56.0831445Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0831639Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0831846Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0832055Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0832260Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.0832455Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.343s)
2022-11-23T01:45:56.0832652Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.145s)
2022-11-23T01:45:56.0832843Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0833041Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.121s)
2022-11-23T01:45:56.0833235Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.114s)
2022-11-23T01:45:56.0833432Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0833638Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0833839Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.0834029Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0834220Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0834427Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0834627Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.055s)
2022-11-23T01:45:56.0834819Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.0835008Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0835199Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0835382Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0835565Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0835779Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0835981Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0836194Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.0836387Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0836591Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.0836782Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0836985Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.0837179Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0837379Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0837578Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0837782Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.003s)
2022-11-23T01:45:56.0838002Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.014s)
2022-11-23T01:45:56.0838192Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.378s)
2022-11-23T01:45:56.0838397Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.0838598Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0838781Z   test_dispatch_symbolic_meta_outplace_all_strides_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.0838960Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.172s)
2022-11-23T01:45:56.0839145Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0839325Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0839508Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0839686Z   test_dispatch_symbolic_meta_outplace_all_strides_normal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.0839868Z   test_dispatch_symbolic_meta_outplace_all_strides_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0840049Z   test_dispatch_symbolic_meta_outplace_all_strides_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0840230Z   test_dispatch_symbolic_meta_outplace_all_strides_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0840409Z   test_dispatch_symbolic_meta_outplace_all_strides_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... ok (4.242s)
2022-11-23T01:45:56.0840585Z   test_dispatch_symbolic_meta_outplace_all_strides_outer_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0840771Z   test_dispatch_symbolic_meta_outplace_all_strides_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (27.666s)
2022-11-23T01:45:56.0840975Z   test_dispatch_symbolic_meta_outplace_all_strides_permute_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0841158Z   test_dispatch_symbolic_meta_outplace_all_strides_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0841354Z   test_dispatch_symbolic_meta_outplace_all_strides_polar_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.0841551Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.507s)
2022-11-23T01:45:56.0841741Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0841937Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0842136Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0842325Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0842508Z   test_dispatch_symbolic_meta_outplace_all_strides_positive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0842685Z   test_dispatch_symbolic_meta_outplace_all_strides_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:56.0842863Z   test_dispatch_symbolic_meta_outplace_all_strides_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.0843033Z   test_dispatch_symbolic_meta_outplace_all_strides_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.073s)
2022-11-23T01:45:56.0843209Z   test_dispatch_symbolic_meta_outplace_all_strides_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0843382Z   test_dispatch_symbolic_meta_outplace_all_strides_quantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.475s)
2022-11-23T01:45:56.0843569Z   test_dispatch_symbolic_meta_outplace_all_strides_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0843750Z   test_dispatch_symbolic_meta_outplace_all_strides_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0843934Z   test_dispatch_symbolic_meta_outplace_all_strides_randint_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0844120Z   test_dispatch_symbolic_meta_outplace_all_strides_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0844299Z   test_dispatch_symbolic_meta_outplace_all_strides_randn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0844482Z   test_dispatch_symbolic_meta_outplace_all_strides_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0844659Z   test_dispatch_symbolic_meta_outplace_all_strides_ravel_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0844836Z   test_dispatch_symbolic_meta_outplace_all_strides_real_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0845011Z   test_dispatch_symbolic_meta_outplace_all_strides_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0845193Z   test_dispatch_symbolic_meta_outplace_all_strides_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:56.0845373Z   test_dispatch_symbolic_meta_outplace_all_strides_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0845553Z   test_dispatch_symbolic_meta_outplace_all_strides_repeat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0845746Z   test_dispatch_symbolic_meta_outplace_all_strides_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0845929Z   test_dispatch_symbolic_meta_outplace_all_strides_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0846133Z   test_dispatch_symbolic_meta_outplace_all_strides_reshape_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0846313Z   test_dispatch_symbolic_meta_outplace_all_strides_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0846491Z   test_dispatch_symbolic_meta_outplace_all_strides_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0846699Z   test_dispatch_symbolic_meta_outplace_all_strides_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0846874Z   test_dispatch_symbolic_meta_outplace_all_strides_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0847051Z   test_dispatch_symbolic_meta_outplace_all_strides_roll_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0847227Z   test_dispatch_symbolic_meta_outplace_all_strides_rot90_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.0847405Z   test_dispatch_symbolic_meta_outplace_all_strides_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0847594Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0847782Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0847977Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0848152Z   test_dispatch_symbolic_meta_outplace_all_strides_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0848326Z   test_dispatch_symbolic_meta_outplace_all_strides_rsub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.0848504Z   test_dispatch_symbolic_meta_outplace_all_strides_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0848692Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.0848869Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.712s)
2022-11-23T01:45:56.0849062Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.724s)
2022-11-23T01:45:56.0849255Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.725s)
2022-11-23T01:45:56.0849446Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.784s)
2022-11-23T01:45:56.0849632Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.726s)
2022-11-23T01:45:56.0849821Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.716s)
2022-11-23T01:45:56.0850013Z   test_dispatch_symbolic_meta_outplace_all_strides_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.287s)
2022-11-23T01:45:56.0850206Z   test_dispatch_symbolic_meta_outplace_all_strides_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.0850394Z   test_dispatch_symbolic_meta_outplace_all_strides_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.143s)
2022-11-23T01:45:56.0850578Z   test_dispatch_symbolic_meta_outplace_all_strides_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0850766Z   test_dispatch_symbolic_meta_outplace_all_strides_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.0850943Z   test_dispatch_symbolic_meta_outplace_all_strides_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0851120Z   test_dispatch_symbolic_meta_outplace_all_strides_short_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0851322Z   test_dispatch_symbolic_meta_outplace_all_strides_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0851500Z   test_dispatch_symbolic_meta_outplace_all_strides_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0851692Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0851916Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0852104Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0852298Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0852475Z   test_dispatch_symbolic_meta_outplace_all_strides_signbit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0852658Z   test_dispatch_symbolic_meta_outplace_all_strides_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0852834Z   test_dispatch_symbolic_meta_outplace_all_strides_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.975s)
2022-11-23T01:45:56.0853012Z   test_dispatch_symbolic_meta_outplace_all_strides_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0853189Z   test_dispatch_symbolic_meta_outplace_all_strides_slice_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0853390Z   test_dispatch_symbolic_meta_outplace_all_strides_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.0853597Z   test_dispatch_symbolic_meta_outplace_all_strides_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0853791Z   test_dispatch_symbolic_meta_outplace_all_strides_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.0853964Z   test_dispatch_symbolic_meta_outplace_all_strides_sort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.0854157Z   test_dispatch_symbolic_meta_outplace_all_strides_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.0854347Z   test_dispatch_symbolic_meta_outplace_all_strides_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.160s)
2022-11-23T01:45:56.0854539Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.082s)
2022-11-23T01:45:56.0854728Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.933s)
2022-11-23T01:45:56.0854918Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.280s)
2022-11-23T01:45:56.0855106Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.146s)
2022-11-23T01:45:56.0855315Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0855521Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.0856048Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0856426Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0856614Z   test_dispatch_symbolic_meta_outplace_all_strides_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.895s)
2022-11-23T01:45:56.0856802Z   test_dispatch_symbolic_meta_outplace_all_strides_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.900s)
2022-11-23T01:45:56.0857033Z   test_dispatch_symbolic_meta_outplace_all_strides_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0857238Z   test_dispatch_symbolic_meta_outplace_all_strides_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.0857445Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.935s)
2022-11-23T01:45:56.0857628Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.941s)
2022-11-23T01:45:56.0857811Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.919s)
2022-11-23T01:45:56.0858015Z   test_dispatch_symbolic_meta_outplace_all_strides_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.0858403Z   test_dispatch_symbolic_meta_outplace_all_strides_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0858594Z   test_dispatch_symbolic_meta_outplace_all_strides_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.986s)
2022-11-23T01:45:56.0858794Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.944s)
2022-11-23T01:45:56.0859212Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.951s)
2022-11-23T01:45:56.0859412Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.039s)
2022-11-23T01:45:56.0859606Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.016s)
2022-11-23T01:45:56.0859798Z   test_dispatch_symbolic_meta_outplace_all_strides_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0859988Z   test_dispatch_symbolic_meta_outplace_all_strides_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.980s)
2022-11-23T01:45:56.0860208Z   test_dispatch_symbolic_meta_outplace_all_strides_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0860422Z   test_dispatch_symbolic_meta_outplace_all_strides_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.005s)
2022-11-23T01:45:56.0860629Z   test_dispatch_symbolic_meta_outplace_all_strides_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.011s)
2022-11-23T01:45:56.0861046Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0861445Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0861838Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0862234Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.0862440Z   test_dispatch_symbolic_meta_outplace_all_strides_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.971s)
2022-11-23T01:45:56.0862635Z   test_dispatch_symbolic_meta_outplace_all_strides_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.151s)
2022-11-23T01:45:56.0862879Z   test_dispatch_symbolic_meta_outplace_all_strides_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.0863061Z   test_dispatch_symbolic_meta_outplace_all_strides_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0863251Z   test_dispatch_symbolic_meta_outplace_all_strides_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0863470Z   test_dispatch_symbolic_meta_outplace_all_strides_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0863650Z   test_dispatch_symbolic_meta_outplace_all_strides_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0863834Z   test_dispatch_symbolic_meta_outplace_all_strides_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0864011Z   test_dispatch_symbolic_meta_outplace_all_strides_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0864188Z   test_dispatch_symbolic_meta_outplace_all_strides_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0864371Z   test_dispatch_symbolic_meta_outplace_all_strides_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0864556Z   test_dispatch_symbolic_meta_outplace_all_strides_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.0864738Z   test_dispatch_symbolic_meta_outplace_all_strides_stft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.0864913Z   test_dispatch_symbolic_meta_outplace_all_strides_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.108s)
2022-11-23T01:45:56.0865089Z   test_dispatch_symbolic_meta_outplace_all_strides_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0865272Z   test_dispatch_symbolic_meta_outplace_all_strides_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0865445Z   test_dispatch_symbolic_meta_outplace_all_strides_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.574s)
2022-11-23T01:45:56.0865690Z   test_dispatch_symbolic_meta_outplace_all_strides_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2022-11-23T01:45:56.0865873Z   test_dispatch_symbolic_meta_outplace_all_strides_symeig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0866051Z   test_dispatch_symbolic_meta_outplace_all_strides_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0866271Z   test_dispatch_symbolic_meta_outplace_all_strides_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.087s)
2022-11-23T01:45:56.0866449Z   test_dispatch_symbolic_meta_outplace_all_strides_take_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0866622Z   test_dispatch_symbolic_meta_outplace_all_strides_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0866799Z   test_dispatch_symbolic_meta_outplace_all_strides_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0866989Z   test_dispatch_symbolic_meta_outplace_all_strides_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.0867174Z   test_dispatch_symbolic_meta_outplace_all_strides_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.0867356Z   test_dispatch_symbolic_meta_outplace_all_strides_tile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.0867527Z   test_dispatch_symbolic_meta_outplace_all_strides_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0867711Z   test_dispatch_symbolic_meta_outplace_all_strides_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0867890Z   test_dispatch_symbolic_meta_outplace_all_strides_topk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0868071Z   test_dispatch_symbolic_meta_outplace_all_strides_trace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0868282Z   test_dispatch_symbolic_meta_outplace_all_strides_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0868469Z   test_dispatch_symbolic_meta_outplace_all_strides_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.196s)
2022-11-23T01:45:56.0868648Z   test_dispatch_symbolic_meta_outplace_all_strides_trapz_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.195s)
2022-11-23T01:45:56.0868878Z   test_dispatch_symbolic_meta_outplace_all_strides_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.0869056Z   test_dispatch_symbolic_meta_outplace_all_strides_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.0869235Z   test_dispatch_symbolic_meta_outplace_all_strides_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0869417Z   test_dispatch_symbolic_meta_outplace_all_strides_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.0869607Z   test_dispatch_symbolic_meta_outplace_all_strides_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0869794Z   test_dispatch_symbolic_meta_outplace_all_strides_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.0869972Z   test_dispatch_symbolic_meta_outplace_all_strides_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0870156Z   test_dispatch_symbolic_meta_outplace_all_strides_unbind_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0870450Z   test_dispatch_symbolic_meta_outplace_all_strides_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0870643Z   test_dispatch_symbolic_meta_outplace_all_strides_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.0870825Z   test_dispatch_symbolic_meta_outplace_all_strides_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.0871001Z   test_dispatch_symbolic_meta_outplace_all_strides_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0871193Z   test_dispatch_symbolic_meta_outplace_all_strides_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.463s)
2022-11-23T01:45:56.0871369Z   test_dispatch_symbolic_meta_outplace_all_strides_unique_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.956s)
2022-11-23T01:45:56.0871552Z   test_dispatch_symbolic_meta_outplace_all_strides_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0871731Z   test_dispatch_symbolic_meta_outplace_all_strides_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0871911Z   test_dispatch_symbolic_meta_outplace_all_strides_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0872087Z   test_dispatch_symbolic_meta_outplace_all_strides_vdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0872306Z   test_dispatch_symbolic_meta_outplace_all_strides_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0872515Z   test_dispatch_symbolic_meta_outplace_all_strides_view_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.012s)
2022-11-23T01:45:56.0872702Z   test_dispatch_symbolic_meta_outplace_all_strides_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0872909Z   test_dispatch_symbolic_meta_outplace_all_strides_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.010s)
2022-11-23T01:45:56.0873115Z   test_dispatch_symbolic_meta_outplace_all_strides_view_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.009s)
2022-11-23T01:45:56.0873292Z   test_dispatch_symbolic_meta_outplace_all_strides_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0873469Z   test_dispatch_symbolic_meta_outplace_all_strides_vstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0873677Z   test_dispatch_symbolic_meta_outplace_all_strides_where_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.0873856Z   test_dispatch_symbolic_meta_outplace_all_strides_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.148s)
2022-11-23T01:45:56.0874028Z   test_dispatch_symbolic_meta_outplace_all_strides_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0874226Z   test_dispatch_symbolic_meta_outplace_all_strides_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0874411Z   test_dispatch_symbolic_meta_outplace_all_strides_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0874583Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.0874751Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.0874929Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.0875099Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.0875264Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.0875428Z   test_dispatch_symbolic_meta_outplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.0875592Z   test_dispatch_symbolic_meta_outplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0875755Z   test_dispatch_symbolic_meta_outplace_amax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0875920Z   test_dispatch_symbolic_meta_outplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0876077Z   test_dispatch_symbolic_meta_outplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0876245Z   test_dispatch_symbolic_meta_outplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0876408Z   test_dispatch_symbolic_meta_outplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0876571Z   test_dispatch_symbolic_meta_outplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0876738Z   test_dispatch_symbolic_meta_outplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0876900Z   test_dispatch_symbolic_meta_outplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0877058Z   test_dispatch_symbolic_meta_outplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0877225Z   test_dispatch_symbolic_meta_outplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0877383Z   test_dispatch_symbolic_meta_outplace_amin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0877537Z   test_dispatch_symbolic_meta_outplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0877707Z   test_dispatch_symbolic_meta_outplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0877871Z   test_dispatch_symbolic_meta_outplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878030Z   test_dispatch_symbolic_meta_outplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878189Z   test_dispatch_symbolic_meta_outplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878349Z   test_dispatch_symbolic_meta_outplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878504Z   test_dispatch_symbolic_meta_outplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878659Z   test_dispatch_symbolic_meta_outplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.0878829Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0879011Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0879181Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0879346Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0879531Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0879695Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0879860Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880028Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880188Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880342Z   test_dispatch_symbolic_meta_outplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880503Z   test_dispatch_symbolic_meta_outplace_angle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880674Z   test_dispatch_symbolic_meta_outplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0880850Z   test_dispatch_symbolic_meta_outplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881015Z   test_dispatch_symbolic_meta_outplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881181Z   test_dispatch_symbolic_meta_outplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881343Z   test_dispatch_symbolic_meta_outplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881508Z   test_dispatch_symbolic_meta_outplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881672Z   test_dispatch_symbolic_meta_outplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881827Z   test_dispatch_symbolic_meta_outplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0881988Z   test_dispatch_symbolic_meta_outplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0882153Z   test_dispatch_symbolic_meta_outplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0882315Z   test_dispatch_symbolic_meta_outplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0882477Z   test_dispatch_symbolic_meta_outplace_any_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0882647Z   test_dispatch_symbolic_meta_outplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0882810Z   test_dispatch_symbolic_meta_outplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0882971Z   test_dispatch_symbolic_meta_outplace_any_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883135Z   test_dispatch_symbolic_meta_outplace_any_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883290Z   test_dispatch_symbolic_meta_outplace_any_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883453Z   test_dispatch_symbolic_meta_outplace_any_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883613Z   test_dispatch_symbolic_meta_outplace_any_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883769Z   test_dispatch_symbolic_meta_outplace_any_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0883926Z   test_dispatch_symbolic_meta_outplace_any_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0884081Z   test_dispatch_symbolic_meta_outplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0884274Z   test_dispatch_symbolic_meta_outplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0884442Z   test_dispatch_symbolic_meta_outplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0884605Z   test_dispatch_symbolic_meta_outplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0884778Z   test_dispatch_symbolic_meta_outplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0884944Z   test_dispatch_symbolic_meta_outplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0885110Z   test_dispatch_symbolic_meta_outplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0885276Z   test_dispatch_symbolic_meta_outplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0885437Z   test_dispatch_symbolic_meta_outplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0885599Z   test_dispatch_symbolic_meta_outplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0885769Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0885937Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886093Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886254Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886418Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886582Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886744Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0886911Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0887071Z   test_dispatch_symbolic_meta_outplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0887242Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0887411Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0887564Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0887724Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0887889Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0888051Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0888210Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0888376Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0888536Z   test_dispatch_symbolic_meta_outplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.0888711Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0888878Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0889034Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0889196Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0889361Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0889527Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0889716Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0889881Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0890065Z   test_dispatch_symbolic_meta_outplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0890242Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0890409Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0890578Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0890752Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0890924Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0891091Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0891252Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0891421Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0891583Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0891745Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0891898Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0892067Z   test_dispatch_symbolic_meta_outplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0892243Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0892413Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0892588Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0892768Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0892946Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893118Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893288Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893453Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893625Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893789Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0893953Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0894125Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0894295Z   test_dispatch_symbolic_meta_outplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0894477Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0894655Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0894839Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895038Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895220Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895427Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895607Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895786Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0895963Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0896141Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0896316Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0896492Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0896656Z   test_dispatch_symbolic_meta_outplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0896824Z   test_dispatch_symbolic_meta_outplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0896986Z   test_dispatch_symbolic_meta_outplace_asin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0897156Z   test_dispatch_symbolic_meta_outplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0897324Z   test_dispatch_symbolic_meta_outplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0897487Z   test_dispatch_symbolic_meta_outplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0897653Z   test_dispatch_symbolic_meta_outplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0897818Z   test_dispatch_symbolic_meta_outplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0897982Z   test_dispatch_symbolic_meta_outplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0898139Z   test_dispatch_symbolic_meta_outplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0898301Z   test_dispatch_symbolic_meta_outplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0898461Z   test_dispatch_symbolic_meta_outplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0898621Z   test_dispatch_symbolic_meta_outplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0898783Z   test_dispatch_symbolic_meta_outplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0899161Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0899328Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0899502Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0899675Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0899832Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0899998Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0900165Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0900332Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0900547Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0900715Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0900880Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0901071Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0901233Z   test_dispatch_symbolic_meta_outplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0901393Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0901557Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0901721Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0901888Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0902053Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0902214Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0902378Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0902544Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0902697Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0902857Z   test_dispatch_symbolic_meta_outplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0903019Z   test_dispatch_symbolic_meta_outplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0903181Z   test_dispatch_symbolic_meta_outplace_atan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0903352Z   test_dispatch_symbolic_meta_outplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0903525Z   test_dispatch_symbolic_meta_outplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0903693Z   test_dispatch_symbolic_meta_outplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0903860Z   test_dispatch_symbolic_meta_outplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0904026Z   test_dispatch_symbolic_meta_outplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0904183Z   test_dispatch_symbolic_meta_outplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0904346Z   test_dispatch_symbolic_meta_outplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0904508Z   test_dispatch_symbolic_meta_outplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0904670Z   test_dispatch_symbolic_meta_outplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0904833Z   test_dispatch_symbolic_meta_outplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0904992Z   test_dispatch_symbolic_meta_outplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0905164Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0905323Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0905495Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0905656Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0905820Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0906013Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0906179Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0906345Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0906546Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0906708Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0906872Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0907038Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0907191Z   test_dispatch_symbolic_meta_outplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0907371Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0907542Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0907719Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0907898Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908076Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908248Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908420Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908586Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908761Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0908928Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909097Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909269Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909432Z   test_dispatch_symbolic_meta_outplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909607Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909779Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0909957Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0910126Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0910441Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0910617Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0910789Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0910958Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0911128Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0911290Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0911489Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0911658Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0911811Z   test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0912004Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0912173Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0912350Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0912522Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0912694Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0912867Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913036Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913205Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913368Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913532Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913694Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0913860Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0914022Z   test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0914187Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0914357Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0914530Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0914699Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0914855Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0915016Z   test_dispatch_symbolic_meta_outplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0915187Z   test_dispatch_symbolic_meta_outplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0915359Z   test_dispatch_symbolic_meta_outplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0915527Z   test_dispatch_symbolic_meta_outplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0915689Z   test_dispatch_symbolic_meta_outplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0915851Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916019Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916192Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916355Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916523Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916718Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0916883Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917048Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917235Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917395Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917555Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917716Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0917876Z   test_dispatch_symbolic_meta_outplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0918041Z   test_dispatch_symbolic_meta_outplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0918201Z   test_dispatch_symbolic_meta_outplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0918361Z   test_dispatch_symbolic_meta_outplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0918526Z   test_dispatch_symbolic_meta_outplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0918693Z   test_dispatch_symbolic_meta_outplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0918858Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919028Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919194Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919353Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919517Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919679Z   test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0919859Z   test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0920035Z   test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0920207Z   test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0920384Z   test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0920554Z   test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0920727Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0920885Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0921049Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0921212Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0921377Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0921539Z   test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0921707Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0921873Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922060Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922214Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922380Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922565Z   test_dispatch_symbolic_meta_outplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922744Z   test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0922922Z   test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923098Z   test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923273Z   test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923445Z   test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923612Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923770Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0923933Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0924092Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0924255Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0924415Z   test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0924588Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0924755Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0924934Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0925113Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0925283Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0925453Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0925625Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0925796Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0925964Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0926128Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0926288Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0926455Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0926617Z   test_dispatch_symbolic_meta_outplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.0926774Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0926941Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0927105Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0927293Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0927459Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0927621Z   test_dispatch_symbolic_meta_outplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0927805Z   test_dispatch_symbolic_meta_outplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0927968Z   test_dispatch_symbolic_meta_outplace_bool_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928136Z   test_dispatch_symbolic_meta_outplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928295Z   test_dispatch_symbolic_meta_outplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928457Z   test_dispatch_symbolic_meta_outplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928620Z   test_dispatch_symbolic_meta_outplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928784Z   test_dispatch_symbolic_meta_outplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0928950Z   test_dispatch_symbolic_meta_outplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0929115Z   test_dispatch_symbolic_meta_outplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0929277Z   test_dispatch_symbolic_meta_outplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0929439Z   test_dispatch_symbolic_meta_outplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0929597Z   test_dispatch_symbolic_meta_outplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0930946Z   test_dispatch_symbolic_meta_outplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0931135Z   test_dispatch_symbolic_meta_outplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0931313Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0931493Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0931684Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0931870Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932050Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932228Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932446Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932627Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932800Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0932976Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0933153Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0933324Z   test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0933502Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0933677Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0933886Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934071Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934245Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934415Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934591Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934764Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0934936Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0935114Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0935289Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0935460Z   test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0935636Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0935803Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0935962Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0936132Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0936296Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0936509Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0936684Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0936848Z   test_dispatch_symbolic_meta_outplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.0937015Z   test_dispatch_symbolic_meta_outplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0937179Z   test_dispatch_symbolic_meta_outplace_byte_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0937347Z   test_dispatch_symbolic_meta_outplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0937509Z   test_dispatch_symbolic_meta_outplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0937677Z   test_dispatch_symbolic_meta_outplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0937846Z   test_dispatch_symbolic_meta_outplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0938016Z   test_dispatch_symbolic_meta_outplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0938180Z   test_dispatch_symbolic_meta_outplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0938340Z   test_dispatch_symbolic_meta_outplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0938503Z   test_dispatch_symbolic_meta_outplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0938663Z   test_dispatch_symbolic_meta_outplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0939000Z   test_dispatch_symbolic_meta_outplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0939239Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0939424Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0939662Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0939848Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0940028Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0940207Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0940383Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0940559Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0940736Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0940905Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0941079Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0941256Z   test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0941423Z   test_dispatch_symbolic_meta_outplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0941585Z   test_dispatch_symbolic_meta_outplace_cat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0941756Z   test_dispatch_symbolic_meta_outplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0941923Z   test_dispatch_symbolic_meta_outplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942091Z   test_dispatch_symbolic_meta_outplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942306Z   test_dispatch_symbolic_meta_outplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942465Z   test_dispatch_symbolic_meta_outplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942628Z   test_dispatch_symbolic_meta_outplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942792Z   test_dispatch_symbolic_meta_outplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0942962Z   test_dispatch_symbolic_meta_outplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0943119Z   test_dispatch_symbolic_meta_outplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0943283Z   test_dispatch_symbolic_meta_outplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0943440Z   test_dispatch_symbolic_meta_outplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.0943614Z   test_dispatch_symbolic_meta_outplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.0943771Z   test_dispatch_symbolic_meta_outplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.0943946Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0944115Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0944291Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0944463Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0944632Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0944803Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945012Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945177Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945335Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945501Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945664Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0945831Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0946000Z   test_dispatch_symbolic_meta_outplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0946163Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0946337Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0946500Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0946666Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0946826Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0946991Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0947156Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0947317Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0947477Z   test_dispatch_symbolic_meta_outplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0947674Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0947847Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948021Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948195Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948357Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948526Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948691Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0948854Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949021Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949192Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949358Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949521Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949677Z   test_dispatch_symbolic_meta_outplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0949851Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0950016Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0950188Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0950527Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0950722Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0950890Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951057Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951222Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951375Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951538Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951702Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0951869Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952031Z   test_dispatch_symbolic_meta_outplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952197Z   test_dispatch_symbolic_meta_outplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952364Z   test_dispatch_symbolic_meta_outplace_char_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952534Z   test_dispatch_symbolic_meta_outplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952703Z   test_dispatch_symbolic_meta_outplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0952862Z   test_dispatch_symbolic_meta_outplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953035Z   test_dispatch_symbolic_meta_outplace_char_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953229Z   test_dispatch_symbolic_meta_outplace_char_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953399Z   test_dispatch_symbolic_meta_outplace_char_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953560Z   test_dispatch_symbolic_meta_outplace_char_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953723Z   test_dispatch_symbolic_meta_outplace_char_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0953886Z   test_dispatch_symbolic_meta_outplace_char_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0954046Z   test_dispatch_symbolic_meta_outplace_char_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0954199Z   test_dispatch_symbolic_meta_outplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0954377Z   test_dispatch_symbolic_meta_outplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0954555Z   test_dispatch_symbolic_meta_outplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0954731Z   test_dispatch_symbolic_meta_outplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0954901Z   test_dispatch_symbolic_meta_outplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0955085Z   test_dispatch_symbolic_meta_outplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.0955270Z   test_dispatch_symbolic_meta_outplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0955450Z   test_dispatch_symbolic_meta_outplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0955633Z   test_dispatch_symbolic_meta_outplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0955806Z   test_dispatch_symbolic_meta_outplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0956010Z   test_dispatch_symbolic_meta_outplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0956193Z   test_dispatch_symbolic_meta_outplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.0956369Z   test_dispatch_symbolic_meta_outplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.0956538Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0956700Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0956873Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957045Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957211Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957377Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957543Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957708Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0957873Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0958036Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0958199Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0958362Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0958524Z   test_dispatch_symbolic_meta_outplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0958723Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0958880Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.0959044Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0959211Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0959376Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0959535Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0959696Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0959861Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0960026Z   test_dispatch_symbolic_meta_outplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.0960204Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0960367Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0960542Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0960710Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0960877Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0961048Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0961213Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0961404Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0961572Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0961737Z   test_dispatch_symbolic_meta_outplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0961905Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.0962077Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0962249Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.0962420Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0962585Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0962759Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0962923Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0963084Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0963250Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0963405Z   test_dispatch_symbolic_meta_outplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0963570Z   test_dispatch_symbolic_meta_outplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0963733Z   test_dispatch_symbolic_meta_outplace_clone_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0963908Z   test_dispatch_symbolic_meta_outplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964106Z   test_dispatch_symbolic_meta_outplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964271Z   test_dispatch_symbolic_meta_outplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964436Z   test_dispatch_symbolic_meta_outplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964605Z   test_dispatch_symbolic_meta_outplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964763Z   test_dispatch_symbolic_meta_outplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0964927Z   test_dispatch_symbolic_meta_outplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0965091Z   test_dispatch_symbolic_meta_outplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0965252Z   test_dispatch_symbolic_meta_outplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0965423Z   test_dispatch_symbolic_meta_outplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0965583Z   test_dispatch_symbolic_meta_outplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0965760Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0965932Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0966111Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0966282Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0966460Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0966635Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0966840Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967018Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967192Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967365Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967538Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967707Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0967871Z   test_dispatch_symbolic_meta_outplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.0968055Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:56.0968233Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:56.0968413Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0968594Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0968769Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.118s)
2022-11-23T01:45:56.0968947Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0969122Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0969297Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:56.0969488Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0969665Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.120s)
2022-11-23T01:45:56.0969836Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.119s)
2022-11-23T01:45:56.0970010Z   test_dispatch_symbolic_meta_outplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.122s)
2022-11-23T01:45:56.0970180Z   test_dispatch_symbolic_meta_outplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0970348Z   test_dispatch_symbolic_meta_outplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0970512Z   test_dispatch_symbolic_meta_outplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.0970681Z   test_dispatch_symbolic_meta_outplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0970851Z   test_dispatch_symbolic_meta_outplace_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0971012Z   test_dispatch_symbolic_meta_outplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0971180Z   test_dispatch_symbolic_meta_outplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0971345Z   test_dispatch_symbolic_meta_outplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.0971513Z   test_dispatch_symbolic_meta_outplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0971679Z   test_dispatch_symbolic_meta_outplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0971845Z   test_dispatch_symbolic_meta_outplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972008Z   test_dispatch_symbolic_meta_outplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972176Z   test_dispatch_symbolic_meta_outplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972363Z   test_dispatch_symbolic_meta_outplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972517Z   test_dispatch_symbolic_meta_outplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972676Z   test_dispatch_symbolic_meta_outplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0972857Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973032Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973215Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973396Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973605Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973809Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0973987Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0974154Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0974331Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0974509Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0974685Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0974883Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0975058Z   test_dispatch_symbolic_meta_outplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0975241Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0975418Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0975603Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0975779Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.0975956Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0976134Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0976310Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0976486Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0976663Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0976836Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0977014Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0977185Z   test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.0977353Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0977529Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0977733Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0977911Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0978088Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0978261Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0978435Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0978608Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0978783Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0979077Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0979249Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0979415Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0979582Z   test_dispatch_symbolic_meta_outplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0979754Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0979920Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0980092Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0980259Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0980471Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.0980637Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0980803Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0980966Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0981133Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0981302Z   test_dispatch_symbolic_meta_outplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.0981474Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.0981649Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.0981826Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.0981990Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.0982155Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0982326Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.0982494Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0982656Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0982817Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0982983Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0983158Z   test_dispatch_symbolic_meta_outplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.0983370Z   test_dispatch_symbolic_meta_outplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0983527Z   test_dispatch_symbolic_meta_outplace_cos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0983691Z   test_dispatch_symbolic_meta_outplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0983857Z   test_dispatch_symbolic_meta_outplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984024Z   test_dispatch_symbolic_meta_outplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984191Z   test_dispatch_symbolic_meta_outplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984356Z   test_dispatch_symbolic_meta_outplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984523Z   test_dispatch_symbolic_meta_outplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984689Z   test_dispatch_symbolic_meta_outplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0984852Z   test_dispatch_symbolic_meta_outplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985003Z   test_dispatch_symbolic_meta_outplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985166Z   test_dispatch_symbolic_meta_outplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985326Z   test_dispatch_symbolic_meta_outplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985496Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985658Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0985859Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986034Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986202Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986369Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986527Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986692Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0986856Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0987019Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0987182Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0987347Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0987508Z   test_dispatch_symbolic_meta_outplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0987688Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0987856Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988042Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988226Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988404Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988585Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988784Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0988959Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0989136Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0989309Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0989475Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0989645Z   test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0989813Z   test_dispatch_symbolic_meta_outplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.336s)
2022-11-23T01:45:56.0989985Z   test_dispatch_symbolic_meta_outplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.327s)
2022-11-23T01:45:56.0990155Z   test_dispatch_symbolic_meta_outplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.329s)
2022-11-23T01:45:56.0990386Z   test_dispatch_symbolic_meta_outplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.335s)
2022-11-23T01:45:56.0990569Z   test_dispatch_symbolic_meta_outplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.323s)
2022-11-23T01:45:56.0990745Z   test_dispatch_symbolic_meta_outplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.324s)
2022-11-23T01:45:56.0990906Z   test_dispatch_symbolic_meta_outplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.325s)
2022-11-23T01:45:56.0991059Z   test_dispatch_symbolic_meta_outplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.327s)
2022-11-23T01:45:56.0991216Z   test_dispatch_symbolic_meta_outplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.325s)
2022-11-23T01:45:56.0991408Z   test_dispatch_symbolic_meta_outplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.328s)
2022-11-23T01:45:56.0991571Z   test_dispatch_symbolic_meta_outplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.327s)
2022-11-23T01:45:56.0991743Z   test_dispatch_symbolic_meta_outplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0991914Z   test_dispatch_symbolic_meta_outplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992079Z   test_dispatch_symbolic_meta_outplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992247Z   test_dispatch_symbolic_meta_outplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992412Z   test_dispatch_symbolic_meta_outplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992568Z   test_dispatch_symbolic_meta_outplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992733Z   test_dispatch_symbolic_meta_outplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0992899Z   test_dispatch_symbolic_meta_outplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0993063Z   test_dispatch_symbolic_meta_outplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0993222Z   test_dispatch_symbolic_meta_outplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.0993390Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0993552Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0993721Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0993885Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994044Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994239Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994410Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994575Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994736Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0994901Z   test_dispatch_symbolic_meta_outplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995071Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995236Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995398Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995568Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995731Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0995895Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0996060Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0996222Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0996382Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0996546Z   test_dispatch_symbolic_meta_outplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.0996720Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0996923Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0997098Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0997270Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0997441Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0997605Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0997773Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0997938Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0998104Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.0998277Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0998435Z   test_dispatch_symbolic_meta_outplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0998603Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0998780Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0998951Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999118Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999284Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999446Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999639Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999806Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.0999962Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1000130Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1000297Z   test_dispatch_symbolic_meta_outplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1000488Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1000681Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1000877Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1001067Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1001252Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1001438Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1001616Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1001799Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1001982Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1002165Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1002373Z   test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1002548Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1002715Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1002888Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003055Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003212Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003379Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003548Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003720Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1003883Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1004046Z   test_dispatch_symbolic_meta_outplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1004210Z   test_dispatch_symbolic_meta_outplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1004374Z   test_dispatch_symbolic_meta_outplace_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1004535Z   test_dispatch_symbolic_meta_outplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1004703Z   test_dispatch_symbolic_meta_outplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1004868Z   test_dispatch_symbolic_meta_outplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005059Z   test_dispatch_symbolic_meta_outplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005227Z   test_dispatch_symbolic_meta_outplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005391Z   test_dispatch_symbolic_meta_outplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005558Z   test_dispatch_symbolic_meta_outplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005722Z   test_dispatch_symbolic_meta_outplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1005884Z   test_dispatch_symbolic_meta_outplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1006039Z   test_dispatch_symbolic_meta_outplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1006198Z   test_dispatch_symbolic_meta_outplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1006380Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1006552Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1006730Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1006907Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1007085Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1007259Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1007431Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1007597Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1007803Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1007969Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1008132Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1008302Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1008466Z   test_dispatch_symbolic_meta_outplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1008638Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1008807Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1008988Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1009159Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1009333Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1009506Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1009673Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1009841Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1010007Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1010168Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1010335Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1010528Z   test_dispatch_symbolic_meta_outplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1010703Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1010878Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1011064Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1011248Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1011431Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1011610Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1011797Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1011974Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1012150Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1012319Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1012494Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1012672Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1012843Z   test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1013014Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1013209Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1013381Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1013556Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1013731Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1013897Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1014064Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1014230Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1014405Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1014572Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1014736Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1014901Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1015072Z   test_dispatch_symbolic_meta_outplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1015255Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1015428Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1015610Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1015794Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1016000Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1016186Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1016365Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1016538Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1016714Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1016896Z   test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1017057Z   test_dispatch_symbolic_meta_outplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.438s)
2022-11-23T01:45:56.1017227Z   test_dispatch_symbolic_meta_outplace_diff_cuda_bool (__main__.TestMetaCUDA) ... ok (0.417s)
2022-11-23T01:45:56.1017400Z   test_dispatch_symbolic_meta_outplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.406s)
2022-11-23T01:45:56.1017568Z   test_dispatch_symbolic_meta_outplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.405s)
2022-11-23T01:45:56.1017737Z   test_dispatch_symbolic_meta_outplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.438s)
2022-11-23T01:45:56.1017904Z   test_dispatch_symbolic_meta_outplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.402s)
2022-11-23T01:45:56.1018071Z   test_dispatch_symbolic_meta_outplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.401s)
2022-11-23T01:45:56.1018236Z   test_dispatch_symbolic_meta_outplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.401s)
2022-11-23T01:45:56.1018391Z   test_dispatch_symbolic_meta_outplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.402s)
2022-11-23T01:45:56.1018587Z   test_dispatch_symbolic_meta_outplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.402s)
2022-11-23T01:45:56.1018751Z   test_dispatch_symbolic_meta_outplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.401s)
2022-11-23T01:45:56.1019088Z   test_dispatch_symbolic_meta_outplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.402s)
2022-11-23T01:45:56.1019290Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1019467Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1019637Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1019802Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1019971Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1020133Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1020303Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1020468Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1020633Z   test_dispatch_symbolic_meta_outplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1020796Z   test_dispatch_symbolic_meta_outplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1020971Z   test_dispatch_symbolic_meta_outplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.1021142Z   test_dispatch_symbolic_meta_outplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.1021309Z   test_dispatch_symbolic_meta_outplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1021474Z   test_dispatch_symbolic_meta_outplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1021702Z   test_dispatch_symbolic_meta_outplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.1021889Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.1022072Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.1022255Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1022437Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1022618Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1022796Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1022980Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1023160Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1023325Z   test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1023512Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1023692Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1023883Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1024067Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1024297Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1024479Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1024665Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1024849Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1025021Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1025203Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1025381Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1025564Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1025745Z   test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1025932Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1026112Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1026290Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1026465Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1026646Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1026819Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1027025Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1027213Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1027389Z   test_dispatch_symbolic_meta_outplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1027555Z   test_dispatch_symbolic_meta_outplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1027731Z   test_dispatch_symbolic_meta_outplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1027897Z   test_dispatch_symbolic_meta_outplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1028063Z   test_dispatch_symbolic_meta_outplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1028231Z   test_dispatch_symbolic_meta_outplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1028391Z   test_dispatch_symbolic_meta_outplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1028561Z   test_dispatch_symbolic_meta_outplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1028727Z   test_dispatch_symbolic_meta_outplace_double_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1028905Z   test_dispatch_symbolic_meta_outplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029078Z   test_dispatch_symbolic_meta_outplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029246Z   test_dispatch_symbolic_meta_outplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029418Z   test_dispatch_symbolic_meta_outplace_double_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029610Z   test_dispatch_symbolic_meta_outplace_double_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029767Z   test_dispatch_symbolic_meta_outplace_double_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1029934Z   test_dispatch_symbolic_meta_outplace_double_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1030104Z   test_dispatch_symbolic_meta_outplace_double_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1030338Z   test_dispatch_symbolic_meta_outplace_double_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1030515Z   test_dispatch_symbolic_meta_outplace_double_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1030678Z   test_dispatch_symbolic_meta_outplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1030852Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031021Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031202Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031368Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031536Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031705Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1031870Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032032Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032198Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032371Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032564Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032730Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1032887Z   test_dispatch_symbolic_meta_outplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1033058Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1033224Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1033400Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1033574Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1033745Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1033916Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034079Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034242Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034401Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034565Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034728Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1034890Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1035079Z   test_dispatch_symbolic_meta_outplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1035252Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1035426Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1035595Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1035753Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1035916Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1036077Z   test_dispatch_symbolic_meta_outplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1036239Z   test_dispatch_symbolic_meta_outplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1036408Z   test_dispatch_symbolic_meta_outplace_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1036583Z   test_dispatch_symbolic_meta_outplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1036754Z   test_dispatch_symbolic_meta_outplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1036922Z   test_dispatch_symbolic_meta_outplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1037091Z   test_dispatch_symbolic_meta_outplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1037251Z   test_dispatch_symbolic_meta_outplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1037414Z   test_dispatch_symbolic_meta_outplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1037577Z   test_dispatch_symbolic_meta_outplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1037744Z   test_dispatch_symbolic_meta_outplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1037933Z   test_dispatch_symbolic_meta_outplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1038099Z   test_dispatch_symbolic_meta_outplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1038259Z   test_dispatch_symbolic_meta_outplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1038435Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1038606Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1038776Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1038954Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039135Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039310Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039484Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039656Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039828Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1039995Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1040162Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1040323Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1040514Z   test_dispatch_symbolic_meta_outplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1040682Z   test_dispatch_symbolic_meta_outplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1040847Z   test_dispatch_symbolic_meta_outplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1041015Z   test_dispatch_symbolic_meta_outplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1041182Z   test_dispatch_symbolic_meta_outplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1041351Z   test_dispatch_symbolic_meta_outplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1041515Z   test_dispatch_symbolic_meta_outplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1041671Z   test_dispatch_symbolic_meta_outplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1041840Z   test_dispatch_symbolic_meta_outplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042004Z   test_dispatch_symbolic_meta_outplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042167Z   test_dispatch_symbolic_meta_outplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042326Z   test_dispatch_symbolic_meta_outplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042486Z   test_dispatch_symbolic_meta_outplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042641Z   test_dispatch_symbolic_meta_outplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1042810Z   test_dispatch_symbolic_meta_outplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1042974Z   test_dispatch_symbolic_meta_outplace_equal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1043136Z   test_dispatch_symbolic_meta_outplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1043364Z   test_dispatch_symbolic_meta_outplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1043556Z   test_dispatch_symbolic_meta_outplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1043727Z   test_dispatch_symbolic_meta_outplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1043894Z   test_dispatch_symbolic_meta_outplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044059Z   test_dispatch_symbolic_meta_outplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044224Z   test_dispatch_symbolic_meta_outplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044389Z   test_dispatch_symbolic_meta_outplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044552Z   test_dispatch_symbolic_meta_outplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044711Z   test_dispatch_symbolic_meta_outplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1044880Z   test_dispatch_symbolic_meta_outplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1045041Z   test_dispatch_symbolic_meta_outplace_erf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1045202Z   test_dispatch_symbolic_meta_outplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1045363Z   test_dispatch_symbolic_meta_outplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1045528Z   test_dispatch_symbolic_meta_outplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1045690Z   test_dispatch_symbolic_meta_outplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1045851Z   test_dispatch_symbolic_meta_outplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1046026Z   test_dispatch_symbolic_meta_outplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1046190Z   test_dispatch_symbolic_meta_outplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1046346Z   test_dispatch_symbolic_meta_outplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1046513Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1046670Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1046835Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047004Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047170Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047342Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047500Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047663Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047820Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1047980Z   test_dispatch_symbolic_meta_outplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1048145Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1048316Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1048481Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1048646Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1048836Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1048997Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1049160Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1049322Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1049486Z   test_dispatch_symbolic_meta_outplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1049654Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1049815Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1049977Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050146Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050300Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050464Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050626Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050789Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1050953Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051115Z   test_dispatch_symbolic_meta_outplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051278Z   test_dispatch_symbolic_meta_outplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051467Z   test_dispatch_symbolic_meta_outplace_exp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051637Z   test_dispatch_symbolic_meta_outplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051796Z   test_dispatch_symbolic_meta_outplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1051967Z   test_dispatch_symbolic_meta_outplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052132Z   test_dispatch_symbolic_meta_outplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052299Z   test_dispatch_symbolic_meta_outplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052462Z   test_dispatch_symbolic_meta_outplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052624Z   test_dispatch_symbolic_meta_outplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052785Z   test_dispatch_symbolic_meta_outplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1052944Z   test_dispatch_symbolic_meta_outplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1053109Z   test_dispatch_symbolic_meta_outplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1053258Z   test_dispatch_symbolic_meta_outplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1053432Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1053606Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1053790Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1053969Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1054148Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1054341Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1054509Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1054680Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1054838Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1055001Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1055169Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1055333Z   test_dispatch_symbolic_meta_outplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1055508Z   test_dispatch_symbolic_meta_outplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1055674Z   test_dispatch_symbolic_meta_outplace_expand_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1055849Z   test_dispatch_symbolic_meta_outplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056022Z   test_dispatch_symbolic_meta_outplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056184Z   test_dispatch_symbolic_meta_outplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056348Z   test_dispatch_symbolic_meta_outplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056510Z   test_dispatch_symbolic_meta_outplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056681Z   test_dispatch_symbolic_meta_outplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1056873Z   test_dispatch_symbolic_meta_outplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1057043Z   test_dispatch_symbolic_meta_outplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1057206Z   test_dispatch_symbolic_meta_outplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1057373Z   test_dispatch_symbolic_meta_outplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1057540Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1057697Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1057864Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1058031Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1058198Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1058363Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1058526Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1058687Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1058989Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1059154Z   test_dispatch_symbolic_meta_outplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1059309Z   test_dispatch_symbolic_meta_outplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1059470Z   test_dispatch_symbolic_meta_outplace_eye_cuda_bool (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1059642Z   test_dispatch_symbolic_meta_outplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1059861Z   test_dispatch_symbolic_meta_outplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1060038Z   test_dispatch_symbolic_meta_outplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1060200Z   test_dispatch_symbolic_meta_outplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1060365Z   test_dispatch_symbolic_meta_outplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1060527Z   test_dispatch_symbolic_meta_outplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:56.1060682Z   test_dispatch_symbolic_meta_outplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1060840Z   test_dispatch_symbolic_meta_outplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:56.1061004Z   test_dispatch_symbolic_meta_outplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1061165Z   test_dispatch_symbolic_meta_outplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.1061333Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1061508Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1061683Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1061859Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1062031Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1062189Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1062384Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1062550Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1062713Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1062874Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1063037Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1063206Z   test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1063370Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1063544Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1063712Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1063882Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1064051Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1064216Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1064380Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1064546Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1064713Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1064875Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1065049Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1065234Z   test_dispatch_symbolic_meta_outplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1065400Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1065577Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1065754Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1065927Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066100Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066271Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066440Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066611Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066768Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1066929Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1067098Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1067265Z   test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1067444Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1067619Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1067830Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068015Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068193Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068363Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068542Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068719Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1068892Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1069065Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1069239Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1069413Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1069580Z   test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1069748Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1069915Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1070094Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1070327Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1070514Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1070705Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1070871Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071039Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071204Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071367Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071524Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071689Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1071859Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1072037Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1072211Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1072384Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1072559Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1072726Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1072882Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073050Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073240Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073408Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073573Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073738Z   test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1073905Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1074082Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1074259Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1074427Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1074603Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1074772Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1074935Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075103Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075268Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075429Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075595Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075761Z   test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1075921Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1076127Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1076305Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1076477Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1076649Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1076816Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1076980Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077148Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077321Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077477Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077644Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077809Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1077980Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1078152Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1078331Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1078504Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1078708Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1078876Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1079033Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1079199Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1079363Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1079526Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1079692Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1079858Z   test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1080029Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1080205Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1080380Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1080543Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1080715Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1080882Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1081047Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1081216Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1081407Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1081573Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1081741Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1081904Z   test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1082076Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1082256Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1082439Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1082622Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1082803Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1082981Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1083156Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1083335Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1083511Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1083676Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1083846Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1084051Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1084221Z   test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1084394Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1084566Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1084738Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1084909Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085078Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085236Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085409Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085576Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085740Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1085909Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1086085Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1086253Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1086419Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1086578Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1086771Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1086934Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1087098Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1087260Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1087422Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1087592Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1087765Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1087939Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1088108Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1088275Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1088441Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1088610Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1088776Z   test_dispatch_symbolic_meta_outplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1088943Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1089121Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1089323Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1089503Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1089663Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1089835Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090005Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090176Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090343Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090508Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090683Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1090848Z   test_dispatch_symbolic_meta_outplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1091018Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1091186Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1091360Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1091534Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1091706Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1091877Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092074Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092243Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092407Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092572Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092730Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1092894Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1093060Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1093237Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1093420Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1093597Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1093766Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1093939Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094107Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094269Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094435Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094601Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094796Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1094963Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1095135Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1095308Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1095476Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1095640Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1095800Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1095968Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1096135Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1096303Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1096473Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1096639Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1096810Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1096975Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1097132Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1097298Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1097497Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1097662Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1097829Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1097997Z   test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1098164Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1098335Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1098503Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1098663Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1098985Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1099195Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1099361Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1099525Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1099687Z   test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1099858Z   test_dispatch_symbolic_meta_outplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100024Z   test_dispatch_symbolic_meta_outplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100247Z   test_dispatch_symbolic_meta_outplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100407Z   test_dispatch_symbolic_meta_outplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100570Z   test_dispatch_symbolic_meta_outplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100737Z   test_dispatch_symbolic_meta_outplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1100904Z   test_dispatch_symbolic_meta_outplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101072Z   test_dispatch_symbolic_meta_outplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101236Z   test_dispatch_symbolic_meta_outplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101404Z   test_dispatch_symbolic_meta_outplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101570Z   test_dispatch_symbolic_meta_outplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101740Z   test_dispatch_symbolic_meta_outplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1101893Z   test_dispatch_symbolic_meta_outplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1102067Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1102233Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1102413Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1102583Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1102751Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1102921Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103119Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103284Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103442Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103610Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103776Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1103944Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1104108Z   test_dispatch_symbolic_meta_outplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1104277Z   test_dispatch_symbolic_meta_outplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1104447Z   test_dispatch_symbolic_meta_outplace_flip_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1104618Z   test_dispatch_symbolic_meta_outplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1104778Z   test_dispatch_symbolic_meta_outplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1104944Z   test_dispatch_symbolic_meta_outplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105114Z   test_dispatch_symbolic_meta_outplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105281Z   test_dispatch_symbolic_meta_outplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105445Z   test_dispatch_symbolic_meta_outplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105608Z   test_dispatch_symbolic_meta_outplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105804Z   test_dispatch_symbolic_meta_outplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1105966Z   test_dispatch_symbolic_meta_outplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1106127Z   test_dispatch_symbolic_meta_outplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1106292Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1106461Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1106637Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1106810Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1106979Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107150Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107314Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107480Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107648Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107807Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1107971Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1108136Z   test_dispatch_symbolic_meta_outplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1108309Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1108504Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1108679Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1108852Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109020Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109184Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109340Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109505Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109673Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1109841Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110004Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110166Z   test_dispatch_symbolic_meta_outplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110409Z   test_dispatch_symbolic_meta_outplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110575Z   test_dispatch_symbolic_meta_outplace_float_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110740Z   test_dispatch_symbolic_meta_outplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1110911Z   test_dispatch_symbolic_meta_outplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111076Z   test_dispatch_symbolic_meta_outplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111275Z   test_dispatch_symbolic_meta_outplace_float_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111443Z   test_dispatch_symbolic_meta_outplace_float_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111609Z   test_dispatch_symbolic_meta_outplace_float_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111772Z   test_dispatch_symbolic_meta_outplace_float_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1111935Z   test_dispatch_symbolic_meta_outplace_float_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1112096Z   test_dispatch_symbolic_meta_outplace_float_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1112251Z   test_dispatch_symbolic_meta_outplace_float_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1112411Z   test_dispatch_symbolic_meta_outplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1112593Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1112767Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1112946Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1113124Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1113298Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1113472Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1113644Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1113807Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1114000Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1114167Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1114340Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1114506Z   test_dispatch_symbolic_meta_outplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1114676Z   test_dispatch_symbolic_meta_outplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1114841Z   test_dispatch_symbolic_meta_outplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1115007Z   test_dispatch_symbolic_meta_outplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115173Z   test_dispatch_symbolic_meta_outplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115335Z   test_dispatch_symbolic_meta_outplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115498Z   test_dispatch_symbolic_meta_outplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115662Z   test_dispatch_symbolic_meta_outplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115825Z   test_dispatch_symbolic_meta_outplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1115987Z   test_dispatch_symbolic_meta_outplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1116164Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.1116341Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.1116524Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1116731Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.1116897Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1117072Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1117244Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1117416Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1117587Z   test_dispatch_symbolic_meta_outplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1117753Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1117921Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1118090Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1118249Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1118414Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1118578Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1118742Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1118906Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1119065Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1119228Z   test_dispatch_symbolic_meta_outplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1119420Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1119578Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1119734Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1119898Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120062Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120224Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120383Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120543Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120706Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1120865Z   test_dispatch_symbolic_meta_outplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1121029Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1121184Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1121352Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1121515Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1121675Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1121838Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1122036Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1122202Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1122362Z   test_dispatch_symbolic_meta_outplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1122522Z   test_dispatch_symbolic_meta_outplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1122685Z   test_dispatch_symbolic_meta_outplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1122849Z   test_dispatch_symbolic_meta_outplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1123012Z   test_dispatch_symbolic_meta_outplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1123176Z   test_dispatch_symbolic_meta_outplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1123348Z   test_dispatch_symbolic_meta_outplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1123515Z   test_dispatch_symbolic_meta_outplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1123680Z   test_dispatch_symbolic_meta_outplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1123849Z   test_dispatch_symbolic_meta_outplace_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1124012Z   test_dispatch_symbolic_meta_outplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1124182Z   test_dispatch_symbolic_meta_outplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1124348Z   test_dispatch_symbolic_meta_outplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1124513Z   test_dispatch_symbolic_meta_outplace_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1124678Z   test_dispatch_symbolic_meta_outplace_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1124868Z   test_dispatch_symbolic_meta_outplace_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125031Z   test_dispatch_symbolic_meta_outplace_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125193Z   test_dispatch_symbolic_meta_outplace_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125355Z   test_dispatch_symbolic_meta_outplace_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125510Z   test_dispatch_symbolic_meta_outplace_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125670Z   test_dispatch_symbolic_meta_outplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1125845Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126015Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126195Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126371Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126543Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126712Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1126877Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127039Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127203Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127395Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127567Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127730Z   test_dispatch_symbolic_meta_outplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1127898Z   test_dispatch_symbolic_meta_outplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128070Z   test_dispatch_symbolic_meta_outplace_gather_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128244Z   test_dispatch_symbolic_meta_outplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128417Z   test_dispatch_symbolic_meta_outplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128578Z   test_dispatch_symbolic_meta_outplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128744Z   test_dispatch_symbolic_meta_outplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1128908Z   test_dispatch_symbolic_meta_outplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129073Z   test_dispatch_symbolic_meta_outplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129240Z   test_dispatch_symbolic_meta_outplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129405Z   test_dispatch_symbolic_meta_outplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129570Z   test_dispatch_symbolic_meta_outplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129732Z   test_dispatch_symbolic_meta_outplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1129888Z   test_dispatch_symbolic_meta_outplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1130055Z   test_dispatch_symbolic_meta_outplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1130242Z   test_dispatch_symbolic_meta_outplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1130409Z   test_dispatch_symbolic_meta_outplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1130567Z   test_dispatch_symbolic_meta_outplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1130730Z   test_dispatch_symbolic_meta_outplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1130893Z   test_dispatch_symbolic_meta_outplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1131055Z   test_dispatch_symbolic_meta_outplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1131220Z   test_dispatch_symbolic_meta_outplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1131376Z   test_dispatch_symbolic_meta_outplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1131548Z   test_dispatch_symbolic_meta_outplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1131710Z   test_dispatch_symbolic_meta_outplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1131867Z   test_dispatch_symbolic_meta_outplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1132031Z   test_dispatch_symbolic_meta_outplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1132189Z   test_dispatch_symbolic_meta_outplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1132364Z   test_dispatch_symbolic_meta_outplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1132534Z   test_dispatch_symbolic_meta_outplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1132695Z   test_dispatch_symbolic_meta_outplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1132888Z   test_dispatch_symbolic_meta_outplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1133067Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:56.1133245Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.171s)
2022-11-23T01:45:56.1133423Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.172s)
2022-11-23T01:45:56.1133599Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:56.1133767Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.171s)
2022-11-23T01:45:56.1133933Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.173s)
2022-11-23T01:45:56.1134103Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.176s)
2022-11-23T01:45:56.1134264Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.174s)
2022-11-23T01:45:56.1134427Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.175s)
2022-11-23T01:45:56.1134593Z   test_dispatch_symbolic_meta_outplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.174s)
2022-11-23T01:45:56.1134775Z   test_dispatch_symbolic_meta_outplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.598s)
2022-11-23T01:45:56.1134956Z   test_dispatch_symbolic_meta_outplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.593s)
2022-11-23T01:45:56.1135129Z   test_dispatch_symbolic_meta_outplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.595s)
2022-11-23T01:45:56.1135295Z   test_dispatch_symbolic_meta_outplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1135458Z   test_dispatch_symbolic_meta_outplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1135667Z   test_dispatch_symbolic_meta_outplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1135822Z   test_dispatch_symbolic_meta_outplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1135986Z   test_dispatch_symbolic_meta_outplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136148Z   test_dispatch_symbolic_meta_outplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136310Z   test_dispatch_symbolic_meta_outplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136466Z   test_dispatch_symbolic_meta_outplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136626Z   test_dispatch_symbolic_meta_outplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136781Z   test_dispatch_symbolic_meta_outplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1136954Z   test_dispatch_symbolic_meta_outplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137120Z   test_dispatch_symbolic_meta_outplace_half_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137286Z   test_dispatch_symbolic_meta_outplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137456Z   test_dispatch_symbolic_meta_outplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137623Z   test_dispatch_symbolic_meta_outplace_half_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137789Z   test_dispatch_symbolic_meta_outplace_half_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1137956Z   test_dispatch_symbolic_meta_outplace_half_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1138121Z   test_dispatch_symbolic_meta_outplace_half_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1138310Z   test_dispatch_symbolic_meta_outplace_half_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1138476Z   test_dispatch_symbolic_meta_outplace_half_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1138630Z   test_dispatch_symbolic_meta_outplace_half_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1138942Z   test_dispatch_symbolic_meta_outplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1139164Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1139338Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1139512Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1139679Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1139851Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1140023Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1140189Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1140344Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1140510Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1140672Z   test_dispatch_symbolic_meta_outplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1140840Z   test_dispatch_symbolic_meta_outplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1141009Z   test_dispatch_symbolic_meta_outplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.1141176Z   test_dispatch_symbolic_meta_outplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.1141394Z   test_dispatch_symbolic_meta_outplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.1141562Z   test_dispatch_symbolic_meta_outplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.1141726Z   test_dispatch_symbolic_meta_outplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.1141889Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142054Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142227Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142399Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142569Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142741Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1142903Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143064Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143231Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143390Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143558Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143721Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1143918Z   test_dispatch_symbolic_meta_outplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1144089Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1144254Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1144430Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1144603Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1144771Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1144932Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145094Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145256Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145421Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145586Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145747Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1145908Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1146070Z   test_dispatch_symbolic_meta_outplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1146233Z   test_dispatch_symbolic_meta_outplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1146399Z   test_dispatch_symbolic_meta_outplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1146570Z   test_dispatch_symbolic_meta_outplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1146761Z   test_dispatch_symbolic_meta_outplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1146926Z   test_dispatch_symbolic_meta_outplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147089Z   test_dispatch_symbolic_meta_outplace_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147252Z   test_dispatch_symbolic_meta_outplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147414Z   test_dispatch_symbolic_meta_outplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147576Z   test_dispatch_symbolic_meta_outplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147728Z   test_dispatch_symbolic_meta_outplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1147887Z   test_dispatch_symbolic_meta_outplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1148051Z   test_dispatch_symbolic_meta_outplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1148210Z   test_dispatch_symbolic_meta_outplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1148367Z   test_dispatch_symbolic_meta_outplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1148536Z   test_dispatch_symbolic_meta_outplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1148700Z   test_dispatch_symbolic_meta_outplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1148871Z   test_dispatch_symbolic_meta_outplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1149035Z   test_dispatch_symbolic_meta_outplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1149192Z   test_dispatch_symbolic_meta_outplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1149385Z   test_dispatch_symbolic_meta_outplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1149548Z   test_dispatch_symbolic_meta_outplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1149722Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1149890Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1150071Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1150316Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1150514Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1150684Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1150854Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151016Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151180Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151340Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151500Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151661Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151822Z   test_dispatch_symbolic_meta_outplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1151998Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1152185Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1152363Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1152537Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1152713Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1152883Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1153055Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1153222Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1153388Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1153558Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1154468Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1154643Z   test_dispatch_symbolic_meta_outplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1154819Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1154982Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1155159Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1155337Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1155541Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1155715Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1155907Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156079Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156237Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156404Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156571Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156736Z   test_dispatch_symbolic_meta_outplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1156911Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1157080Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1157259Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1157435Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1157611Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1157773Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1157939Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158102Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158270Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158431Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158594Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158763Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1158925Z   test_dispatch_symbolic_meta_outplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1159102Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1159269Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1159449Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1159624Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1159796Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1160004Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1160183Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1160356Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1160528Z   test_dispatch_symbolic_meta_outplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1160703Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1160893Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161074Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161258Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161439Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161612Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161788Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1161963Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1162134Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1162308Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1162470Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1162646Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1162818Z   test_dispatch_symbolic_meta_outplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1162989Z   test_dispatch_symbolic_meta_outplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163160Z   test_dispatch_symbolic_meta_outplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163329Z   test_dispatch_symbolic_meta_outplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163494Z   test_dispatch_symbolic_meta_outplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163664Z   test_dispatch_symbolic_meta_outplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163832Z   test_dispatch_symbolic_meta_outplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1163994Z   test_dispatch_symbolic_meta_outplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164157Z   test_dispatch_symbolic_meta_outplace_int_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164326Z   test_dispatch_symbolic_meta_outplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164496Z   test_dispatch_symbolic_meta_outplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164661Z   test_dispatch_symbolic_meta_outplace_int_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164826Z   test_dispatch_symbolic_meta_outplace_int_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1164994Z   test_dispatch_symbolic_meta_outplace_int_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165155Z   test_dispatch_symbolic_meta_outplace_int_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165350Z   test_dispatch_symbolic_meta_outplace_int_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165502Z   test_dispatch_symbolic_meta_outplace_int_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165661Z   test_dispatch_symbolic_meta_outplace_int_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165819Z   test_dispatch_symbolic_meta_outplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1165991Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.1166158Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1166356Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.1166528Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.1166698Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.1175083Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:56.1175281Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.081s)
2022-11-23T01:45:56.1175452Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1175621Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1175788Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1175961Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1176124Z   test_dispatch_symbolic_meta_outplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1176304Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1176472Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1176651Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1176820Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1176997Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1177175Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1177347Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1177514Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1177686Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1177852Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1178018Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1178185Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1178348Z   test_dispatch_symbolic_meta_outplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1178516Z   test_dispatch_symbolic_meta_outplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1178687Z   test_dispatch_symbolic_meta_outplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1179026Z   test_dispatch_symbolic_meta_outplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1179364Z   test_dispatch_symbolic_meta_outplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1179534Z   test_dispatch_symbolic_meta_outplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1179701Z   test_dispatch_symbolic_meta_outplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1179862Z   test_dispatch_symbolic_meta_outplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1180022Z   test_dispatch_symbolic_meta_outplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1180183Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1180379Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1180553Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1180726Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1180892Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1181059Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1181228Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1181398Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1181566Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1181726Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1181893Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182055Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182222Z   test_dispatch_symbolic_meta_outplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182393Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182558Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182734Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1182909Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183069Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183236Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183404Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183570Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183734Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1183900Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1184063Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1184224Z   test_dispatch_symbolic_meta_outplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1184405Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1184565Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1184740Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1184936Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185105Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185276Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185442Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185604Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185792Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1185962Z   test_dispatch_symbolic_meta_outplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186130Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186301Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186474Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186643Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186811Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1186980Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187148Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187311Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187478Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187644Z   test_dispatch_symbolic_meta_outplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187817Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1187985Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1188160Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1188331Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1188503Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1188670Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1188833Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1188988Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1189158Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1189326Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1189495Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1189659Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1189825Z   test_dispatch_symbolic_meta_outplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1190003Z   test_dispatch_symbolic_meta_outplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.1190177Z   test_dispatch_symbolic_meta_outplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.1190486Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1190671Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1190865Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1191061Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1191250Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1191463Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1191658Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1191846Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192028Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192211Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192397Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192569Z   test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192771Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1192969Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1193170Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1193381Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1193612Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1193809Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194000Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194191Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194387Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194565Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194754Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1194939Z   test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1195118Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1195298Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1195483Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1195690Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1195873Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196052Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196221Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196400Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196599Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196770Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1196945Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1197124Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1197316Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1197507Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1197708Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1197899Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1198093Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1198289Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1198475Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1198665Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1198852Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1199041Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1199233Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1199418Z   test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1199599Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1199768Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1199953Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1200132Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1200309Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1200488Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1200660Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1200841Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1201043Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1201217Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1201387Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1201560Z   test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1201730Z   test_dispatch_symbolic_meta_outplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1201913Z   test_dispatch_symbolic_meta_outplace_kron_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202081Z   test_dispatch_symbolic_meta_outplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202249Z   test_dispatch_symbolic_meta_outplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202416Z   test_dispatch_symbolic_meta_outplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202585Z   test_dispatch_symbolic_meta_outplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202750Z   test_dispatch_symbolic_meta_outplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1202907Z   test_dispatch_symbolic_meta_outplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1203070Z   test_dispatch_symbolic_meta_outplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1203238Z   test_dispatch_symbolic_meta_outplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1203399Z   test_dispatch_symbolic_meta_outplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1203558Z   test_dispatch_symbolic_meta_outplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1203736Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1203904Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204068Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204237Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204394Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204558Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204723Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1204893Z   test_dispatch_symbolic_meta_outplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1205055Z   test_dispatch_symbolic_meta_outplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1205215Z   test_dispatch_symbolic_meta_outplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1205373Z   test_dispatch_symbolic_meta_outplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1205536Z   test_dispatch_symbolic_meta_outplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1205683Z   test_dispatch_symbolic_meta_outplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1205852Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1206016Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1206186Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1206382Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1206550Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1206717Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1206885Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1207049Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1207206Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1207398Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1207564Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1207723Z   test_dispatch_symbolic_meta_outplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1207886Z   test_dispatch_symbolic_meta_outplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1208047Z   test_dispatch_symbolic_meta_outplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1208207Z   test_dispatch_symbolic_meta_outplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1208368Z   test_dispatch_symbolic_meta_outplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1208534Z   test_dispatch_symbolic_meta_outplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1208692Z   test_dispatch_symbolic_meta_outplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1208853Z   test_dispatch_symbolic_meta_outplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1209014Z   test_dispatch_symbolic_meta_outplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1209176Z   test_dispatch_symbolic_meta_outplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1209331Z   test_dispatch_symbolic_meta_outplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1209500Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.1209672Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1209841Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1210001Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.1210168Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1210334Z   test_dispatch_symbolic_meta_outplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.1210503Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1210669Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1210832Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1210993Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1211153Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1211319Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1211473Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1211636Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1211825Z   test_dispatch_symbolic_meta_outplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1212013Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1212197Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1212374Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1212553Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1212770Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1212958Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1213132Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1213313Z   test_dispatch_symbolic_meta_outplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1213492Z   test_dispatch_symbolic_meta_outplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1213670Z   test_dispatch_symbolic_meta_outplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1213847Z   test_dispatch_symbolic_meta_outplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1214022Z   test_dispatch_symbolic_meta_outplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1214202Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1214382Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1214562Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1214731Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1214914Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215087Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215261Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215436Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215607Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215785Z   test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1215961Z   test_dispatch_symbolic_meta_outplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1216136Z   test_dispatch_symbolic_meta_outplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1216297Z   test_dispatch_symbolic_meta_outplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1216467Z   test_dispatch_symbolic_meta_outplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1216655Z   test_dispatch_symbolic_meta_outplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.1216841Z   test_dispatch_symbolic_meta_outplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.1217026Z   test_dispatch_symbolic_meta_outplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.1217231Z   test_dispatch_symbolic_meta_outplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.1217411Z   test_dispatch_symbolic_meta_outplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1217585Z   test_dispatch_symbolic_meta_outplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1217754Z   test_dispatch_symbolic_meta_outplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1217918Z   test_dispatch_symbolic_meta_outplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1218122Z   test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1218304Z   test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1218479Z   test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1218656Z   test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1218960Z   test_dispatch_symbolic_meta_outplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1219143Z   test_dispatch_symbolic_meta_outplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1219321Z   test_dispatch_symbolic_meta_outplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1219499Z   test_dispatch_symbolic_meta_outplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.1219677Z   test_dispatch_symbolic_meta_outplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1219860Z   test_dispatch_symbolic_meta_outplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1220043Z   test_dispatch_symbolic_meta_outplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1220223Z   test_dispatch_symbolic_meta_outplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1220420Z   test_dispatch_symbolic_meta_outplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1220614Z   test_dispatch_symbolic_meta_outplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1220806Z   test_dispatch_symbolic_meta_outplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1220999Z   test_dispatch_symbolic_meta_outplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1221176Z   test_dispatch_symbolic_meta_outplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1221354Z   test_dispatch_symbolic_meta_outplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1221520Z   test_dispatch_symbolic_meta_outplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1221692Z   test_dispatch_symbolic_meta_outplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1221873Z   test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1222050Z   test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1222225Z   test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1222397Z   test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1222626Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1222813Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1222995Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1223166Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1223354Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1223539Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1223751Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1223933Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1224118Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1224300Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1224480Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1224659Z   test_dispatch_symbolic_meta_outplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1224830Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1225014Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1225189Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1225369Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1225562Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1225754Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1225946Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1226137Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1226316Z   test_dispatch_symbolic_meta_outplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1226490Z   test_dispatch_symbolic_meta_outplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1226656Z   test_dispatch_symbolic_meta_outplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1226823Z   test_dispatch_symbolic_meta_outplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1227008Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.097s)
2022-11-23T01:45:56.1227192Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1227375Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1227552Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1227743Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1227928Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1228137Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1228311Z   test_dispatch_symbolic_meta_outplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1228489Z   test_dispatch_symbolic_meta_outplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1228671Z   test_dispatch_symbolic_meta_outplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1228847Z   test_dispatch_symbolic_meta_outplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.110s)
2022-11-23T01:45:56.1229047Z   test_dispatch_symbolic_meta_outplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.110s)
2022-11-23T01:45:56.1229225Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.1229414Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.193s)
2022-11-23T01:45:56.1229598Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.1229778Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.1229950Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.173s)
2022-11-23T01:45:56.1230127Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.175s)
2022-11-23T01:45:56.1230389Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.1230578Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.096s)
2022-11-23T01:45:56.1230766Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.1230948Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.1231131Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.447s)
2022-11-23T01:45:56.1231315Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.260s)
2022-11-23T01:45:56.1231495Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.267s)
2022-11-23T01:45:56.1231671Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.293s)
2022-11-23T01:45:56.1231871Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1232070Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1232262Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1232458Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1232642Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1232826Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1233037Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1233241Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1233422Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1233621Z   test_dispatch_symbolic_meta_outplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1233804Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.148s)
2022-11-23T01:45:56.1233984Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.238s)
2022-11-23T01:45:56.1234164Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.203s)
2022-11-23T01:45:56.1234340Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.148s)
2022-11-23T01:45:56.1234563Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.205s)
2022-11-23T01:45:56.1234739Z   test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.212s)
2022-11-23T01:45:56.1234943Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.114s)
2022-11-23T01:45:56.1235146Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.145s)
2022-11-23T01:45:56.1235341Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.146s)
2022-11-23T01:45:56.1235541Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.113s)
2022-11-23T01:45:56.1235739Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.149s)
2022-11-23T01:45:56.1235935Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.149s)
2022-11-23T01:45:56.1236120Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.142s)
2022-11-23T01:45:56.1236304Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:56.1236480Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1236656Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1236849Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1237030Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1237220Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1237408Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1237668Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.1237916Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.1238163Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.1238411Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.1238596Z   test_dispatch_symbolic_meta_outplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.1238776Z   test_dispatch_symbolic_meta_outplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1238977Z   test_dispatch_symbolic_meta_outplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1239148Z   test_dispatch_symbolic_meta_outplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1239326Z   test_dispatch_symbolic_meta_outplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1239508Z   test_dispatch_symbolic_meta_outplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1239687Z   test_dispatch_symbolic_meta_outplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1239891Z   test_dispatch_symbolic_meta_outplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1240074Z   test_dispatch_symbolic_meta_outplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.1240252Z   test_dispatch_symbolic_meta_outplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.1240429Z   test_dispatch_symbolic_meta_outplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1240607Z   test_dispatch_symbolic_meta_outplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.1240790Z   test_dispatch_symbolic_meta_outplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1240967Z   test_dispatch_symbolic_meta_outplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1241148Z   test_dispatch_symbolic_meta_outplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1241331Z   test_dispatch_symbolic_meta_outplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1241526Z   test_dispatch_symbolic_meta_outplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.136s)
2022-11-23T01:45:56.1241721Z   test_dispatch_symbolic_meta_outplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.136s)
2022-11-23T01:45:56.1241916Z   test_dispatch_symbolic_meta_outplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:56.1242102Z   test_dispatch_symbolic_meta_outplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:56.1242284Z   test_dispatch_symbolic_meta_outplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.316s)
2022-11-23T01:45:56.1242463Z   test_dispatch_symbolic_meta_outplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:56.1242634Z   test_dispatch_symbolic_meta_outplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.112s)
2022-11-23T01:45:56.1242811Z   test_dispatch_symbolic_meta_outplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.147s)
2022-11-23T01:45:56.1242997Z   test_dispatch_symbolic_meta_outplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.1243180Z   test_dispatch_symbolic_meta_outplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1243358Z   test_dispatch_symbolic_meta_outplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1243535Z   test_dispatch_symbolic_meta_outplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.1243719Z   test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1243909Z   test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1244090Z   test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1244288Z   test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1244480Z   test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1244668Z   test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1244851Z   test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1245032Z   test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1245210Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1245415Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1245593Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1245774Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1245951Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1246120Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1246294Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1246471Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1246648Z   test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1246833Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1247019Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.1247203Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.1247379Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1247556Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.1247725Z   test_dispatch_symbolic_meta_outplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.1247913Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:56.1248105Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.226s)
2022-11-23T01:45:56.1248294Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.230s)
2022-11-23T01:45:56.1248477Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.246s)
2022-11-23T01:45:56.1248658Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.221s)
2022-11-23T01:45:56.1248842Z   test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.220s)
2022-11-23T01:45:56.1249017Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1249192Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1249365Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1249536Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1249737Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1249899Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1250075Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1250242Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1250409Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1250577Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1250787Z   test_dispatch_symbolic_meta_outplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1250953Z   test_dispatch_symbolic_meta_outplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251120Z   test_dispatch_symbolic_meta_outplace_log10_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251296Z   test_dispatch_symbolic_meta_outplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251459Z   test_dispatch_symbolic_meta_outplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251626Z   test_dispatch_symbolic_meta_outplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251794Z   test_dispatch_symbolic_meta_outplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1251961Z   test_dispatch_symbolic_meta_outplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252130Z   test_dispatch_symbolic_meta_outplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252295Z   test_dispatch_symbolic_meta_outplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252461Z   test_dispatch_symbolic_meta_outplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252631Z   test_dispatch_symbolic_meta_outplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252798Z   test_dispatch_symbolic_meta_outplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1252964Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1253134Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1253303Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1253473Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1253642Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1253807Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1253975Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1254143Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1254301Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1254463Z   test_dispatch_symbolic_meta_outplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1254628Z   test_dispatch_symbolic_meta_outplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1254795Z   test_dispatch_symbolic_meta_outplace_log2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1254967Z   test_dispatch_symbolic_meta_outplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1255138Z   test_dispatch_symbolic_meta_outplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1255344Z   test_dispatch_symbolic_meta_outplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1255514Z   test_dispatch_symbolic_meta_outplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1255686Z   test_dispatch_symbolic_meta_outplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1255840Z   test_dispatch_symbolic_meta_outplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256005Z   test_dispatch_symbolic_meta_outplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256172Z   test_dispatch_symbolic_meta_outplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256359Z   test_dispatch_symbolic_meta_outplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256519Z   test_dispatch_symbolic_meta_outplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256689Z   test_dispatch_symbolic_meta_outplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1256854Z   test_dispatch_symbolic_meta_outplace_log_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257023Z   test_dispatch_symbolic_meta_outplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257192Z   test_dispatch_symbolic_meta_outplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257354Z   test_dispatch_symbolic_meta_outplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257522Z   test_dispatch_symbolic_meta_outplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257690Z   test_dispatch_symbolic_meta_outplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1257854Z   test_dispatch_symbolic_meta_outplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1258022Z   test_dispatch_symbolic_meta_outplace_log_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1258188Z   test_dispatch_symbolic_meta_outplace_log_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1258357Z   test_dispatch_symbolic_meta_outplace_log_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1258522Z   test_dispatch_symbolic_meta_outplace_log_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1258674Z   test_dispatch_symbolic_meta_outplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1259019Z   test_dispatch_symbolic_meta_outplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1259255Z   test_dispatch_symbolic_meta_outplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1259433Z   test_dispatch_symbolic_meta_outplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1259608Z   test_dispatch_symbolic_meta_outplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1259795Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1259982Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1260171Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1260356Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1260540Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1260716Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1260947Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1261128Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1261311Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1261498Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1261682Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1261864Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1262070Z   test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1262247Z   test_dispatch_symbolic_meta_outplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1262418Z   test_dispatch_symbolic_meta_outplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1262591Z   test_dispatch_symbolic_meta_outplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1262767Z   test_dispatch_symbolic_meta_outplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1262942Z   test_dispatch_symbolic_meta_outplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1263110Z   test_dispatch_symbolic_meta_outplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1263293Z   test_dispatch_symbolic_meta_outplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1263470Z   test_dispatch_symbolic_meta_outplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1263655Z   test_dispatch_symbolic_meta_outplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1263833Z   test_dispatch_symbolic_meta_outplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1263995Z   test_dispatch_symbolic_meta_outplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1264169Z   test_dispatch_symbolic_meta_outplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1264337Z   test_dispatch_symbolic_meta_outplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1264501Z   test_dispatch_symbolic_meta_outplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1264682Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1264854Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1265034Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1265209Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1265382Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1265547Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1265719Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1265892Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1266058Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1266222Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1266418Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1266585Z   test_dispatch_symbolic_meta_outplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1266758Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1266930Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1267101Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1267301Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1267475Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1267649Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1267821Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1267996Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1268158Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1268323Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1268494Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1268654Z   test_dispatch_symbolic_meta_outplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1268827Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1269000Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1269175Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1269350Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1269521Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1269693Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1269866Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1270039Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1270197Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1270455Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1270654Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1270824Z   test_dispatch_symbolic_meta_outplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1270996Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1271167Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1271347Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1271522Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1271694Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1271886Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1272067Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1272240Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1272407Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1272571Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1272764Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1272927Z   test_dispatch_symbolic_meta_outplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1273094Z   test_dispatch_symbolic_meta_outplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1273262Z   test_dispatch_symbolic_meta_outplace_logit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1273419Z   test_dispatch_symbolic_meta_outplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1273585Z   test_dispatch_symbolic_meta_outplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1273750Z   test_dispatch_symbolic_meta_outplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1273912Z   test_dispatch_symbolic_meta_outplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1274078Z   test_dispatch_symbolic_meta_outplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1274240Z   test_dispatch_symbolic_meta_outplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1274403Z   test_dispatch_symbolic_meta_outplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1274566Z   test_dispatch_symbolic_meta_outplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1274730Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.406s)
2022-11-23T01:45:56.1274904Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.405s)
2022-11-23T01:45:56.1275081Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.404s)
2022-11-23T01:45:56.1275251Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.405s)
2022-11-23T01:45:56.1275420Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.404s)
2022-11-23T01:45:56.1275585Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.404s)
2022-11-23T01:45:56.1275753Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.1275919Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.1276082Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.1276237Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.149s)
2022-11-23T01:45:56.1276406Z   test_dispatch_symbolic_meta_outplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:56.1276578Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1276755Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1276924Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1277089Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1277280Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1277455Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1277620Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1277774Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1277938Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1278129Z   test_dispatch_symbolic_meta_outplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1278294Z   test_dispatch_symbolic_meta_outplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1278458Z   test_dispatch_symbolic_meta_outplace_long_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1278631Z   test_dispatch_symbolic_meta_outplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1278795Z   test_dispatch_symbolic_meta_outplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1278956Z   test_dispatch_symbolic_meta_outplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279121Z   test_dispatch_symbolic_meta_outplace_long_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279280Z   test_dispatch_symbolic_meta_outplace_long_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279450Z   test_dispatch_symbolic_meta_outplace_long_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279613Z   test_dispatch_symbolic_meta_outplace_long_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279773Z   test_dispatch_symbolic_meta_outplace_long_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1279937Z   test_dispatch_symbolic_meta_outplace_long_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1280099Z   test_dispatch_symbolic_meta_outplace_long_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1280260Z   test_dispatch_symbolic_meta_outplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1280423Z   test_dispatch_symbolic_meta_outplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1280577Z   test_dispatch_symbolic_meta_outplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1280735Z   test_dispatch_symbolic_meta_outplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1280897Z   test_dispatch_symbolic_meta_outplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281059Z   test_dispatch_symbolic_meta_outplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281223Z   test_dispatch_symbolic_meta_outplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281382Z   test_dispatch_symbolic_meta_outplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281537Z   test_dispatch_symbolic_meta_outplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281696Z   test_dispatch_symbolic_meta_outplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1281850Z   test_dispatch_symbolic_meta_outplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1282009Z   test_dispatch_symbolic_meta_outplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:56.1282179Z   test_dispatch_symbolic_meta_outplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1282341Z   test_dispatch_symbolic_meta_outplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1282526Z   test_dispatch_symbolic_meta_outplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.1282701Z   test_dispatch_symbolic_meta_outplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1282875Z   test_dispatch_symbolic_meta_outplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1283045Z   test_dispatch_symbolic_meta_outplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1283211Z   test_dispatch_symbolic_meta_outplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1283388Z   test_dispatch_symbolic_meta_outplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1283576Z   test_dispatch_symbolic_meta_outplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1283746Z   test_dispatch_symbolic_meta_outplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1283917Z   test_dispatch_symbolic_meta_outplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1284082Z   test_dispatch_symbolic_meta_outplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1284242Z   test_dispatch_symbolic_meta_outplace_mH_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1284409Z   test_dispatch_symbolic_meta_outplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1284573Z   test_dispatch_symbolic_meta_outplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1284741Z   test_dispatch_symbolic_meta_outplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1284898Z   test_dispatch_symbolic_meta_outplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285057Z   test_dispatch_symbolic_meta_outplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285221Z   test_dispatch_symbolic_meta_outplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285382Z   test_dispatch_symbolic_meta_outplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285542Z   test_dispatch_symbolic_meta_outplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285696Z   test_dispatch_symbolic_meta_outplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1285855Z   test_dispatch_symbolic_meta_outplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1286009Z   test_dispatch_symbolic_meta_outplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1286177Z   test_dispatch_symbolic_meta_outplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1286329Z   test_dispatch_symbolic_meta_outplace_mT_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1286498Z   test_dispatch_symbolic_meta_outplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1286668Z   test_dispatch_symbolic_meta_outplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1286832Z   test_dispatch_symbolic_meta_outplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1286994Z   test_dispatch_symbolic_meta_outplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1287155Z   test_dispatch_symbolic_meta_outplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1287312Z   test_dispatch_symbolic_meta_outplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1287474Z   test_dispatch_symbolic_meta_outplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1287634Z   test_dispatch_symbolic_meta_outplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1287782Z   test_dispatch_symbolic_meta_outplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1287965Z   test_dispatch_symbolic_meta_outplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1288121Z   test_dispatch_symbolic_meta_outplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1288298Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.135s)
2022-11-23T01:45:56.1288471Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:56.1288645Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:56.1288819Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:56.1289027Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.1289186Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.108s)
2022-11-23T01:45:56.1289353Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.108s)
2022-11-23T01:45:56.1289524Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.109s)
2022-11-23T01:45:56.1289690Z   test_dispatch_symbolic_meta_outplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.1289864Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.1290034Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.1290206Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:56.1290376Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.126s)
2022-11-23T01:45:56.1290540Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1290699Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1290862Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.1291030Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1291194Z   test_dispatch_symbolic_meta_outplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1291374Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1291554Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.1291733Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.079s)
2022-11-23T01:45:56.1291910Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1292078Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1292242Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1292411Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.1292587Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1292754Z   test_dispatch_symbolic_meta_outplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.1292939Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1293114Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.1293319Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.078s)
2022-11-23T01:45:56.1293492Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.1293661Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1293826Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1293993Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1294196Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1294364Z   test_dispatch_symbolic_meta_outplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1294543Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1294726Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1294906Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1295083Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1295259Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1295424Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1295599Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1295773Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1295951Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1296120Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1296291Z   test_dispatch_symbolic_meta_outplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1296467Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1296646Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1296827Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1297002Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1297169Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1297347Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1297520Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1297690Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1297863Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1298035Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1298207Z   test_dispatch_symbolic_meta_outplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1298382Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1298578Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1298749Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299057Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299232Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299406Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299577Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299791Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1299963Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1300131Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1300294Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1300457Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1300620Z   test_dispatch_symbolic_meta_outplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1300802Z   test_dispatch_symbolic_meta_outplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1300987Z   test_dispatch_symbolic_meta_outplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1301170Z   test_dispatch_symbolic_meta_outplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1301352Z   test_dispatch_symbolic_meta_outplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1301537Z   test_dispatch_symbolic_meta_outplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1301718Z   test_dispatch_symbolic_meta_outplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1301896Z   test_dispatch_symbolic_meta_outplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1302069Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:56.1302243Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.227s)
2022-11-23T01:45:56.1302423Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.214s)
2022-11-23T01:45:56.1302596Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.217s)
2022-11-23T01:45:56.1302776Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.191s)
2022-11-23T01:45:56.1302952Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.190s)
2022-11-23T01:45:56.1303125Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.189s)
2022-11-23T01:45:56.1303300Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.190s)
2022-11-23T01:45:56.1303479Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.189s)
2022-11-23T01:45:56.1303650Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:56.1303822Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... ok (0.250s)
2022-11-23T01:45:56.1303997Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.247s)
2022-11-23T01:45:56.1304204Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.248s)
2022-11-23T01:45:56.1304379Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:56.1304550Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.300s)
2022-11-23T01:45:56.1304724Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.300s)
2022-11-23T01:45:56.1304896Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.248s)
2022-11-23T01:45:56.1305087Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.252s)
2022-11-23T01:45:56.1305244Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.249s)
2022-11-23T01:45:56.1305415Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.251s)
2022-11-23T01:45:56.1305579Z   test_dispatch_symbolic_meta_outplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.252s)
2022-11-23T01:45:56.1305754Z   test_dispatch_symbolic_meta_outplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1305929Z   test_dispatch_symbolic_meta_outplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1306102Z   test_dispatch_symbolic_meta_outplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1306279Z   test_dispatch_symbolic_meta_outplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.788s)
2022-11-23T01:45:56.1306453Z   test_dispatch_symbolic_meta_outplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.788s)
2022-11-23T01:45:56.1306625Z   test_dispatch_symbolic_meta_outplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.743s)
2022-11-23T01:45:56.1306790Z   test_dispatch_symbolic_meta_outplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.732s)
2022-11-23T01:45:56.1306973Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.068s)
2022-11-23T01:45:56.1307159Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1307342Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1307521Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:56.1307704Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.1307879Z   test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.1308058Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.156s)
2022-11-23T01:45:56.1308231Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:56.1308400Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.124s)
2022-11-23T01:45:56.1308574Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.124s)
2022-11-23T01:45:56.1308748Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.1308921Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.149s)
2022-11-23T01:45:56.1309098Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.147s)
2022-11-23T01:45:56.1309266Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:56.1309457Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:56.1309624Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.124s)
2022-11-23T01:45:56.1309793Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:56.1309950Z   test_dispatch_symbolic_meta_outplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:56.1310129Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1310367Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1310608Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1310795Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1310975Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1311153Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1311325Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1311501Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1311668Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1311845Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1312021Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1312195Z   test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1312371Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1312545Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1312726Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1312906Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1313083Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1313251Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1313428Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1313600Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1313773Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1313943Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1314117Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1314285Z   test_dispatch_symbolic_meta_outplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1314468Z   test_dispatch_symbolic_meta_outplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1314646Z   test_dispatch_symbolic_meta_outplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1314815Z   test_dispatch_symbolic_meta_outplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1315014Z   test_dispatch_symbolic_meta_outplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1315194Z   test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1315365Z   test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1315540Z   test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1315711Z   test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1315910Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.352s)
2022-11-23T01:45:56.1316083Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.106s)
2022-11-23T01:45:56.1316262Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.102s)
2022-11-23T01:45:56.1316425Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.344s)
2022-11-23T01:45:56.1316598Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.254s)
2022-11-23T01:45:56.1316769Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.248s)
2022-11-23T01:45:56.1316941Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.052s)
2022-11-23T01:45:56.1317108Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.053s)
2022-11-23T01:45:56.1317274Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.051s)
2022-11-23T01:45:56.1317445Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.049s)
2022-11-23T01:45:56.1317615Z   test_dispatch_symbolic_meta_outplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.055s)
2022-11-23T01:45:56.1317789Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.135s)
2022-11-23T01:45:56.1317952Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.113s)
2022-11-23T01:45:56.1318127Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.1318302Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.108s)
2022-11-23T01:45:56.1318477Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.135s)
2022-11-23T01:45:56.1318649Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.127s)
2022-11-23T01:45:56.1318818Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:56.1318992Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:56.1319158Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.117s)
2022-11-23T01:45:56.1319321Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.112s)
2022-11-23T01:45:56.1319482Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:56.1319645Z   test_dispatch_symbolic_meta_outplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:56.1319822Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.312s)
2022-11-23T01:45:56.1320000Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.068s)
2022-11-23T01:45:56.1320174Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.064s)
2022-11-23T01:45:56.1320367Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.302s)
2022-11-23T01:45:56.1320540Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.219s)
2022-11-23T01:45:56.1320708Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.218s)
2022-11-23T01:45:56.1320877Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.030s)
2022-11-23T01:45:56.1321034Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.011s)
2022-11-23T01:45:56.1321221Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.017s)
2022-11-23T01:45:56.1321390Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.016s)
2022-11-23T01:45:56.1321559Z   test_dispatch_symbolic_meta_outplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.014s)
2022-11-23T01:45:56.1321728Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:56.1321903Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1322069Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1322236Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1322400Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1322557Z   test_dispatch_symbolic_meta_outplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1322733Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1322911Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1323088Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1323256Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1323426Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1323594Z   test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1323763Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1323929Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1324095Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1324269Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1324435Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1324603Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1324768Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1324931Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1325096Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1325262Z   test_dispatch_symbolic_meta_outplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1325452Z   test_dispatch_symbolic_meta_outplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (3.799s)
2022-11-23T01:45:56.1325673Z   test_dispatch_symbolic_meta_outplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (3.792s)
2022-11-23T01:45:56.1325873Z   test_dispatch_symbolic_meta_outplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.807s)
2022-11-23T01:45:56.1326062Z   test_dispatch_symbolic_meta_outplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.824s)
2022-11-23T01:45:56.1326248Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1326429Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1326646Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1326829Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327015Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327198Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327370Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327553Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327728Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1327908Z   test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328095Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328279Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328465Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328644Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328820Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1328992Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1329178Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1329358Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1329539Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1329715Z   test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1329886Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1330053Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1330223Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1330387Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1330544Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1330710Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1330903Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1331073Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1331235Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1331400Z   test_dispatch_symbolic_meta_outplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1331564Z   test_dispatch_symbolic_meta_outplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1331736Z   test_dispatch_symbolic_meta_outplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1331930Z   test_dispatch_symbolic_meta_outplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1332087Z   test_dispatch_symbolic_meta_outplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1332254Z   test_dispatch_symbolic_meta_outplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1332419Z   test_dispatch_symbolic_meta_outplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1332586Z   test_dispatch_symbolic_meta_outplace_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1332750Z   test_dispatch_symbolic_meta_outplace_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1332911Z   test_dispatch_symbolic_meta_outplace_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333076Z   test_dispatch_symbolic_meta_outplace_median_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333242Z   test_dispatch_symbolic_meta_outplace_median_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333403Z   test_dispatch_symbolic_meta_outplace_median_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333562Z   test_dispatch_symbolic_meta_outplace_median_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333726Z   test_dispatch_symbolic_meta_outplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1333916Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1334100Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1334291Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1334483Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1334670Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1334859Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335040Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335214Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335392Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335570Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335758Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1335942Z   test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1336154Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1336336Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1336529Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1336725Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1336915Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1337116Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1337295Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1337487Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1337669Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1337849Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1338034Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1338214Z   test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1338390Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1338560Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1338724Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1339082Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1339295Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1339467Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1339633Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1339795Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1339966Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1340127Z   test_dispatch_symbolic_meta_outplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1340313Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1340485Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1340664Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1340845Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341025Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341205Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341385Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341562Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341797Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1341973Z   test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1342150Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1342332Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1342515Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1342725Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1342901Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343082Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343265Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343445Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343623Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343799Z   test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1343965Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1344133Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1344306Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1344469Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1344629Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1344795Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1344961Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1345127Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1345285Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1345447Z   test_dispatch_symbolic_meta_outplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1345615Z   test_dispatch_symbolic_meta_outplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1345780Z   test_dispatch_symbolic_meta_outplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1345943Z   test_dispatch_symbolic_meta_outplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1346106Z   test_dispatch_symbolic_meta_outplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1346270Z   test_dispatch_symbolic_meta_outplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1346436Z   test_dispatch_symbolic_meta_outplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1346606Z   test_dispatch_symbolic_meta_outplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1346760Z   test_dispatch_symbolic_meta_outplace_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1346926Z   test_dispatch_symbolic_meta_outplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1347117Z   test_dispatch_symbolic_meta_outplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1347283Z   test_dispatch_symbolic_meta_outplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1347444Z   test_dispatch_symbolic_meta_outplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1347605Z   test_dispatch_symbolic_meta_outplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1347769Z   test_dispatch_symbolic_meta_outplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1347950Z   test_dispatch_symbolic_meta_outplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1348108Z   test_dispatch_symbolic_meta_outplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1348271Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1348438Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1348610Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1348782Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1348948Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349117Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349284Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349446Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349612Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349771Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1349938Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1350102Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1350333Z   test_dispatch_symbolic_meta_outplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1350515Z   test_dispatch_symbolic_meta_outplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1350680Z   test_dispatch_symbolic_meta_outplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1350842Z   test_dispatch_symbolic_meta_outplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351007Z   test_dispatch_symbolic_meta_outplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351164Z   test_dispatch_symbolic_meta_outplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351329Z   test_dispatch_symbolic_meta_outplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351492Z   test_dispatch_symbolic_meta_outplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351652Z   test_dispatch_symbolic_meta_outplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351813Z   test_dispatch_symbolic_meta_outplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1351979Z   test_dispatch_symbolic_meta_outplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1352144Z   test_dispatch_symbolic_meta_outplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1352313Z   test_dispatch_symbolic_meta_outplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1352503Z   test_dispatch_symbolic_meta_outplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1352660Z   test_dispatch_symbolic_meta_outplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1352819Z   test_dispatch_symbolic_meta_outplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1352985Z   test_dispatch_symbolic_meta_outplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353147Z   test_dispatch_symbolic_meta_outplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353306Z   test_dispatch_symbolic_meta_outplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353491Z   test_dispatch_symbolic_meta_outplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353647Z   test_dispatch_symbolic_meta_outplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353811Z   test_dispatch_symbolic_meta_outplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1353964Z   test_dispatch_symbolic_meta_outplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1354134Z   test_dispatch_symbolic_meta_outplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1354310Z   test_dispatch_symbolic_meta_outplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1354485Z   test_dispatch_symbolic_meta_outplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1354647Z   test_dispatch_symbolic_meta_outplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1354815Z   test_dispatch_symbolic_meta_outplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1354987Z   test_dispatch_symbolic_meta_outplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1355151Z   test_dispatch_symbolic_meta_outplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1355315Z   test_dispatch_symbolic_meta_outplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1355469Z   test_dispatch_symbolic_meta_outplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1355656Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1355841Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1356025Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1356210Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1356391Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1356574Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1356754Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1356930Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1357109Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1357281Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1357464Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1357639Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1357841Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1358018Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1358195Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1358368Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1358546Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1358747Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1358918Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1359092Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1359268Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1359442Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1359617Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1359792Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1359966Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1360133Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1360303Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1360470Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1360640Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1360812Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1360976Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1361138Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1361312Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1361476Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1361640Z   test_dispatch_symbolic_meta_outplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.140s)
2022-11-23T01:45:56.1361810Z   test_dispatch_symbolic_meta_outplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.139s)
2022-11-23T01:45:56.1361967Z   test_dispatch_symbolic_meta_outplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.1362131Z   test_dispatch_symbolic_meta_outplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:56.1362305Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1362474Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1362643Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1362808Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1362998Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1363162Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1363330Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1363484Z   test_dispatch_symbolic_meta_outplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1363658Z   test_dispatch_symbolic_meta_outplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.897s)
2022-11-23T01:45:56.1363831Z   test_dispatch_symbolic_meta_outplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.895s)
2022-11-23T01:45:56.1364036Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1364202Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1364375Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1364538Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1364698Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1364862Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1365020Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1365185Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1365347Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1365510Z   test_dispatch_symbolic_meta_outplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1365720Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.1365922Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1366131Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1366337Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1366542Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1366742Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1366940Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1367136Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1367335Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1367534Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1367724Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1367921Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1368118Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1368311Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1368476Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1368640Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1368811Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1368980Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369149Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369337Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369499Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369668Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369832Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1369999Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1370152Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1370314Z   test_dispatch_symbolic_meta_outplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1370496Z   test_dispatch_symbolic_meta_outplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1370679Z   test_dispatch_symbolic_meta_outplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1370861Z   test_dispatch_symbolic_meta_outplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1371041Z   test_dispatch_symbolic_meta_outplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1371230Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1371417Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1371600Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1371772Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1371957Z   test_dispatch_symbolic_meta_outplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1372135Z   test_dispatch_symbolic_meta_outplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1372315Z   test_dispatch_symbolic_meta_outplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1372489Z   test_dispatch_symbolic_meta_outplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1372649Z   test_dispatch_symbolic_meta_outplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1372811Z   test_dispatch_symbolic_meta_outplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1372979Z   test_dispatch_symbolic_meta_outplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1373144Z   test_dispatch_symbolic_meta_outplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1373302Z   test_dispatch_symbolic_meta_outplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1373467Z   test_dispatch_symbolic_meta_outplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1373652Z   test_dispatch_symbolic_meta_outplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1373814Z   test_dispatch_symbolic_meta_outplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1373973Z   test_dispatch_symbolic_meta_outplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1374127Z   test_dispatch_symbolic_meta_outplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1374288Z   test_dispatch_symbolic_meta_outplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1374442Z   test_dispatch_symbolic_meta_outplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1374630Z   test_dispatch_symbolic_meta_outplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1374792Z   test_dispatch_symbolic_meta_outplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1374960Z   test_dispatch_symbolic_meta_outplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1375127Z   test_dispatch_symbolic_meta_outplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1375292Z   test_dispatch_symbolic_meta_outplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1375454Z   test_dispatch_symbolic_meta_outplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1375617Z   test_dispatch_symbolic_meta_outplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1375779Z   test_dispatch_symbolic_meta_outplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1375945Z   test_dispatch_symbolic_meta_outplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1376093Z   test_dispatch_symbolic_meta_outplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1376251Z   test_dispatch_symbolic_meta_outplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1376406Z   test_dispatch_symbolic_meta_outplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1376578Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1376748Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1376924Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377098Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377276Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377444Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377605Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377770Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1377938Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1378103Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1378265Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1378432Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1378597Z   test_dispatch_symbolic_meta_outplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1378777Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1379113Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1379294Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1379476Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1379659Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1379836Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380042Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380215Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380391Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380569Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380744Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1380913Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381084Z   test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381253Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381422Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381598Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381773Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1381947Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382118Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382282Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382438Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382606Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382770Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1382932Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383100Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383269Z   test_dispatch_symbolic_meta_outplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383439Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383603Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383775Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1383939Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384116Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384286Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384474Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384640Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384807Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1384968Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385127Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385294Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385472Z   test_dispatch_symbolic_meta_outplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385643Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385810Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1385988Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386157Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386331Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386501Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386666Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386828Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1386988Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1387153Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1387314Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1387477Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1387638Z   test_dispatch_symbolic_meta_outplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1387808Z   test_dispatch_symbolic_meta_outplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1387982Z   test_dispatch_symbolic_meta_outplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1388151Z   test_dispatch_symbolic_meta_outplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1388377Z   test_dispatch_symbolic_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.1388589Z   test_dispatch_symbolic_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.1388802Z   test_dispatch_symbolic_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.1389011Z   test_dispatch_symbolic_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.000s)
2022-11-23T01:45:56.1389210Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1389412Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1389633Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1389827Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1390022Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1390219Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1390501Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1390721Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1390921Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1391114Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1391303Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1391491Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1391685Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1391883Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1392074Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1392263Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1392459Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1392641Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1392827Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1393014Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1393210Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1393401Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1393590Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1393779Z   test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1393974Z   test_dispatch_symbolic_meta_outplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1394165Z   test_dispatch_symbolic_meta_outplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1394355Z   test_dispatch_symbolic_meta_outplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1394541Z   test_dispatch_symbolic_meta_outplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1394729Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1394942Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1395123Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1395302Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1395485Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1395663Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1395865Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1396042Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1396225Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1396395Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1396572Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1396746Z   test_dispatch_symbolic_meta_outplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1396926Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1397106Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1397281Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1397459Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1397661Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1397859Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1398047Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1398238Z   test_dispatch_symbolic_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.1398431Z   test_dispatch_symbolic_meta_outplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.108s)
2022-11-23T01:45:56.1398618Z   test_dispatch_symbolic_meta_outplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.107s)
2022-11-23T01:45:56.1398801Z   test_dispatch_symbolic_meta_outplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1398979Z   test_dispatch_symbolic_meta_outplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.106s)
2022-11-23T01:45:56.1399177Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1399372Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1399567Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1399770Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1399997Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.1400210Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.1400416Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1400620Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1400803Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1401018Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1401199Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1401379Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1401563Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1401747Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:56.1401924Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.095s)
2022-11-23T01:45:56.1402104Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.1402290Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1402477Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1402659Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1402840Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1403022Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.274s)
2022-11-23T01:45:56.1403201Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.294s)
2022-11-23T01:45:56.1403377Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.272s)
2022-11-23T01:45:56.1403552Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1403730Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1403910Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1404105Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1404302Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.1404499Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.1404696Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.1404893Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1405082Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1405294Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1405483Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1405680Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.104s)
2022-11-23T01:45:56.1405875Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.112s)
2022-11-23T01:45:56.1406069Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.103s)
2022-11-23T01:45:56.1406281Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1406471Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1406661Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1406853Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1407047Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:56.1407238Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.097s)
2022-11-23T01:45:56.1407424Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.090s)
2022-11-23T01:45:56.1407614Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1407803Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1407989Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1408189Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1408383Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.1408580Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.1408780Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1408978Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.1409175Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1409360Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1409549Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.1409742Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1409928Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1410118Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1410310Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1410527Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.1410716Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.1410906Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.1411096Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.1411301Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.1411490Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.1411676Z   test_dispatch_symbolic_meta_outplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1411855Z   test_dispatch_symbolic_meta_outplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1412044Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1412229Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1412408Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1412586Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1412775Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1412952Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1413130Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1413307Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1413491Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1413674Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1413853Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1414040Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1414220Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1414404Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1414575Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1414751Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1414944Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.1415132Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:56.1415326Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:56.1415514Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.1415728Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1415915Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1416095Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1416274Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1416479Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1416724Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1416934Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1417138Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1417354Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1417565Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1417781Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1418000Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1418212Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1418420Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1418623Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1418966Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1419248Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1419471Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1419681Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1419884Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1420084Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1420283Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1420480Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1420681Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1420875Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1421115Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1421314Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.870s)
2022-11-23T01:45:56.1421513Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.861s)
2022-11-23T01:45:56.1421705Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.662s)
2022-11-23T01:45:56.1421892Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.1422111Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1422298Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1422483Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1422665Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1422849Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.1423023Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.1423202Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.1423384Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.1423574Z   test_dispatch_symbolic_meta_outplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.593s)
2022-11-23T01:45:56.1423760Z   test_dispatch_symbolic_meta_outplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.589s)
2022-11-23T01:45:56.1423941Z   test_dispatch_symbolic_meta_outplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.582s)
2022-11-23T01:45:56.1424124Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1424312Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1424495Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1424671Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1424855Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1425038Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1425219Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1425400Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1425593Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1425784Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1425969Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1426150Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1426372Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1426552Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1426733Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1426914Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1427094Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1427302Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1427483Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1427662Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1427846Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1428029Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1428205Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1428390Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1428592Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.1428793Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.1428994Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.1429194Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.1429379Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1429564Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1429745Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1429928Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1430112Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:56.1430386Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:56.1430602Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1430804Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1430998Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1431191Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1431386Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1431572Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1431800Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.644s)
2022-11-23T01:45:56.1431991Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.641s)
2022-11-23T01:45:56.1432181Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.653s)
2022-11-23T01:45:56.1432378Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1432603Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.1432800Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.1433000Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1433198Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1433389Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1433586Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1433781Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1433966Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1434162Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1434363Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1434559Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1434755Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1434940Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1435123Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1435305Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1435484Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1435668Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1435846Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1436027Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1436205Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1436386Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1436569Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1436756Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1436966Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1437149Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1437326Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1437502Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1437679Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1437892Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1438069Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1438253Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1438435Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1438617Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1438797Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1438978Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1439161Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.1439351Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.1439550Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.1439743Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1439931Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1440120Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1440305Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1440489Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1440668Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1440866Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:56.1441060Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.072s)
2022-11-23T01:45:56.1441246Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1441436Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1441632Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1441825Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1442041Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1442234Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1442420Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1442607Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.208s)
2022-11-23T01:45:56.1442791Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.221s)
2022-11-23T01:45:56.1443010Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.223s)
2022-11-23T01:45:56.1443204Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.208s)
2022-11-23T01:45:56.1443407Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.715s)
2022-11-23T01:45:56.1443604Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.719s)
2022-11-23T01:45:56.1443800Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.709s)
2022-11-23T01:45:56.1443995Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.709s)
2022-11-23T01:45:56.1444192Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:56.1444392Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:56.1444587Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.232s)
2022-11-23T01:45:56.1444784Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.231s)
2022-11-23T01:45:56.1444986Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.249s)
2022-11-23T01:45:56.1445192Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.250s)
2022-11-23T01:45:56.1445401Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.250s)
2022-11-23T01:45:56.1445613Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:56.1445831Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.071s)
2022-11-23T01:45:56.1446039Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1446244Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.177s)
2022-11-23T01:45:56.1446447Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.176s)
2022-11-23T01:45:56.1446653Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.176s)
2022-11-23T01:45:56.1446869Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.1447072Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.1447282Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.1447485Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1447713Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.1447920Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.1448128Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.1448338Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1448541Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1448765Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1448957Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1449157Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1449356Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1449557Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1449758Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1449955Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1450149Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1450364Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1450573Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1450780Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1450976Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1451198Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1451420Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1451642Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1451864Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1452090Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1452318Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1452538Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1452755Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1452960Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.1453151Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1453371Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.1453568Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.1453775Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1453984Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.1454191Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.1454418Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1454618Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1454817Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1455009Z   test_dispatch_symbolic_meta_outplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1455217Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1455415Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1455629Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1455845Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1456052Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1456260Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1456467Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1456671Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1456869Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1457058Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1457267Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1457467Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1457676Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1457883Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1458100Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1458312Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1458515Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1458723Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459044Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459263Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459445Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459623Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459805Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1459985Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.1460200Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1460391Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1460583Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1460770Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1460945Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1461122Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1461318Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1461515Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1461703Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1461897Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1462082Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1462278Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1462476Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1462672Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1462860Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1463054Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1463242Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1463432Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1463623Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1463813Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1464007Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1464195Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1464405Z   test_dispatch_symbolic_meta_outplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1464588Z   test_dispatch_symbolic_meta_outplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1464768Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1464960Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1465152Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1465363Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1465554Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1465743Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1465930Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1466115Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1466295Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1466466Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1466653Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1466831Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467026Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467214Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467411Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467607Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467797Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1467988Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1468179Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1468360Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1468548Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1468734Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1468923Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1469106Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1469300Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.296s)
2022-11-23T01:45:56.1469492Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.300s)
2022-11-23T01:45:56.1469705Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.254s)
2022-11-23T01:45:56.1469894Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.255s)
2022-11-23T01:45:56.1470083Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.266s)
2022-11-23T01:45:56.1470328Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.267s)
2022-11-23T01:45:56.1470542Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.265s)
2022-11-23T01:45:56.1470769Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.263s)
2022-11-23T01:45:56.1470956Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.263s)
2022-11-23T01:45:56.1471138Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1471318Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1471497Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1471678Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1471853Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472023Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472199Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472378Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472555Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472730Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1472912Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1473085Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1473264Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1473443Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1473618Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1473795Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1473969Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1474146Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1474317Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1474497Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1474669Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1474878Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1475054Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1475229Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1475397Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1475577Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1475755Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1475972Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1476151Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1476330Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1476502Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1476676Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1476849Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1477029Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1477219Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1477407Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1477601Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1477792Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1477980Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1478167Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1478354Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1478540Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1478716Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1478900Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1479095Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1479290Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1479484Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1479675Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1479871Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1480081Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1480274Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1480462Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1480640Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1480829Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1481040Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1481226Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1481409Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1481586Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1481762Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1481948Z   test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1482136Z   test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1482319Z   test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1482490Z   test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1482674Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1482856Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1483045Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1483232Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1483418Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1483599Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1483777Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1483962Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1484137Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1484319Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1484495Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1484675Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1484863Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485056Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485269Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485454Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485636Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485814Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1485986Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1486166Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1486366Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1486546Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1486731Z   test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1486915Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1487100Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1487281Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1487459Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1487635Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1487817Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1488001Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1488184Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1488360Z   test_dispatch_symbolic_meta_outplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1488556Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1488756Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1488955Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1489153Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1489347Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1489528Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.1489720Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1489912Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1490100Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1490290Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1490500Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1490712Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.1490926Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.1491136Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.1491344Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.1491563Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1491768Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1491975Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1492182Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1492384Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1492588Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1492789Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.1492973Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.866s)
2022-11-23T01:45:56.1493159Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.824s)
2022-11-23T01:45:56.1493342Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.844s)
2022-11-23T01:45:56.1493515Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.856s)
2022-11-23T01:45:56.1493696Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.835s)
2022-11-23T01:45:56.1493880Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.803s)
2022-11-23T01:45:56.1494077Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1494270Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1494457Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1494645Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1494835Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1495021Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1495217Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1495379Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1495571Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1495748Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1495918Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1496083Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1496251Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1496413Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1496596Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1496760Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1496921Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1497085Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1497252Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1497416Z   test_dispatch_symbolic_meta_outplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1497577Z   test_dispatch_symbolic_meta_outplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.1497744Z   test_dispatch_symbolic_meta_outplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1497913Z   test_dispatch_symbolic_meta_outplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1498076Z   test_dispatch_symbolic_meta_outplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.083s)
2022-11-23T01:45:56.1498242Z   test_dispatch_symbolic_meta_outplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.1498399Z   test_dispatch_symbolic_meta_outplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.060s)
2022-11-23T01:45:56.1498568Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1498743Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1499186Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1499362Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1499535Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1499701Z   test_dispatch_symbolic_meta_outplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1499874Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1500042Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1500221Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1500393Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1500558Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1500721Z   test_dispatch_symbolic_meta_outplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1500895Z   test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1501064Z   test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1501287Z   test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1501451Z   test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1501613Z   test_dispatch_symbolic_meta_outplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1501781Z   test_dispatch_symbolic_meta_outplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1501946Z   test_dispatch_symbolic_meta_outplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1502108Z   test_dispatch_symbolic_meta_outplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1502323Z   test_dispatch_symbolic_meta_outplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1502504Z   test_dispatch_symbolic_meta_outplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1502688Z   test_dispatch_symbolic_meta_outplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1502868Z   test_dispatch_symbolic_meta_outplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1503032Z   test_dispatch_symbolic_meta_outplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1503191Z   test_dispatch_symbolic_meta_outplace_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1503358Z   test_dispatch_symbolic_meta_outplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1503529Z   test_dispatch_symbolic_meta_outplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1503692Z   test_dispatch_symbolic_meta_outplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1503856Z   test_dispatch_symbolic_meta_outplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504022Z   test_dispatch_symbolic_meta_outplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504185Z   test_dispatch_symbolic_meta_outplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504348Z   test_dispatch_symbolic_meta_outplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504509Z   test_dispatch_symbolic_meta_outplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504663Z   test_dispatch_symbolic_meta_outplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504821Z   test_dispatch_symbolic_meta_outplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1504982Z   test_dispatch_symbolic_meta_outplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1505155Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1505324Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1505498Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1505674Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1505848Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506017Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506180Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506343Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506510Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506696Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1506858Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1507020Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1507181Z   test_dispatch_symbolic_meta_outplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1507351Z   test_dispatch_symbolic_meta_outplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.1507544Z   test_dispatch_symbolic_meta_outplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.160s)
2022-11-23T01:45:56.1507701Z   test_dispatch_symbolic_meta_outplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.1507868Z   test_dispatch_symbolic_meta_outplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.1508042Z   test_dispatch_symbolic_meta_outplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1508206Z   test_dispatch_symbolic_meta_outplace_outer_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1508380Z   test_dispatch_symbolic_meta_outplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1508549Z   test_dispatch_symbolic_meta_outplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1508713Z   test_dispatch_symbolic_meta_outplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1508880Z   test_dispatch_symbolic_meta_outplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509035Z   test_dispatch_symbolic_meta_outplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509202Z   test_dispatch_symbolic_meta_outplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509368Z   test_dispatch_symbolic_meta_outplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509533Z   test_dispatch_symbolic_meta_outplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509699Z   test_dispatch_symbolic_meta_outplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1509861Z   test_dispatch_symbolic_meta_outplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1510036Z   test_dispatch_symbolic_meta_outplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.469s)
2022-11-23T01:45:56.1510212Z   test_dispatch_symbolic_meta_outplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.455s)
2022-11-23T01:45:56.1510475Z   test_dispatch_symbolic_meta_outplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1510635Z   test_dispatch_symbolic_meta_outplace_permute_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1510812Z   test_dispatch_symbolic_meta_outplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1510984Z   test_dispatch_symbolic_meta_outplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511152Z   test_dispatch_symbolic_meta_outplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511321Z   test_dispatch_symbolic_meta_outplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511482Z   test_dispatch_symbolic_meta_outplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511645Z   test_dispatch_symbolic_meta_outplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511808Z   test_dispatch_symbolic_meta_outplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1511977Z   test_dispatch_symbolic_meta_outplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1512166Z   test_dispatch_symbolic_meta_outplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1512334Z   test_dispatch_symbolic_meta_outplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1512497Z   test_dispatch_symbolic_meta_outplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1512671Z   test_dispatch_symbolic_meta_outplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1512845Z   test_dispatch_symbolic_meta_outplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1513052Z   test_dispatch_symbolic_meta_outplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1513219Z   test_dispatch_symbolic_meta_outplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1513383Z   test_dispatch_symbolic_meta_outplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1513550Z   test_dispatch_symbolic_meta_outplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1513733Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1513922Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1514105Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1514284Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1514468Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1514652Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1514840Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515019Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515200Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515376Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515562Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515745Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1515924Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1516105Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1516288Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1516465Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1516648Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1516824Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517006Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517181Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517385Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517564Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517741Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1517925Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1518102Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1518302Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1518479Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1518662Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1518836Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519022Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519204Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519385Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519565Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519742Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1519925Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1520105Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1520286Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1520467Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1520648Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1520828Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521011Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521190Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521368Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521547Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521724Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1521895Z   test_dispatch_symbolic_meta_outplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522070Z   test_dispatch_symbolic_meta_outplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522241Z   test_dispatch_symbolic_meta_outplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522416Z   test_dispatch_symbolic_meta_outplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522618Z   test_dispatch_symbolic_meta_outplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522788Z   test_dispatch_symbolic_meta_outplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1522952Z   test_dispatch_symbolic_meta_outplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523121Z   test_dispatch_symbolic_meta_outplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523285Z   test_dispatch_symbolic_meta_outplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523447Z   test_dispatch_symbolic_meta_outplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523640Z   test_dispatch_symbolic_meta_outplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523803Z   test_dispatch_symbolic_meta_outplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1523972Z   test_dispatch_symbolic_meta_outplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1524148Z   test_dispatch_symbolic_meta_outplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1524314Z   test_dispatch_symbolic_meta_outplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1524480Z   test_dispatch_symbolic_meta_outplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1524648Z   test_dispatch_symbolic_meta_outplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1524811Z   test_dispatch_symbolic_meta_outplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1524977Z   test_dispatch_symbolic_meta_outplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525131Z   test_dispatch_symbolic_meta_outplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525294Z   test_dispatch_symbolic_meta_outplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525452Z   test_dispatch_symbolic_meta_outplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525616Z   test_dispatch_symbolic_meta_outplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525772Z   test_dispatch_symbolic_meta_outplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1525940Z   test_dispatch_symbolic_meta_outplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1526103Z   test_dispatch_symbolic_meta_outplace_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1526276Z   test_dispatch_symbolic_meta_outplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1526446Z   test_dispatch_symbolic_meta_outplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1526603Z   test_dispatch_symbolic_meta_outplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1526771Z   test_dispatch_symbolic_meta_outplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1526935Z   test_dispatch_symbolic_meta_outplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1527100Z   test_dispatch_symbolic_meta_outplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1527263Z   test_dispatch_symbolic_meta_outplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1527427Z   test_dispatch_symbolic_meta_outplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1527591Z   test_dispatch_symbolic_meta_outplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1527750Z   test_dispatch_symbolic_meta_outplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1527911Z   test_dispatch_symbolic_meta_outplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1528094Z   test_dispatch_symbolic_meta_outplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1528260Z   test_dispatch_symbolic_meta_outplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1528431Z   test_dispatch_symbolic_meta_outplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1528598Z   test_dispatch_symbolic_meta_outplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1528760Z   test_dispatch_symbolic_meta_outplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1528946Z   test_dispatch_symbolic_meta_outplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529109Z   test_dispatch_symbolic_meta_outplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529273Z   test_dispatch_symbolic_meta_outplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529428Z   test_dispatch_symbolic_meta_outplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529586Z   test_dispatch_symbolic_meta_outplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529745Z   test_dispatch_symbolic_meta_outplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1529906Z   test_dispatch_symbolic_meta_outplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1530073Z   test_dispatch_symbolic_meta_outplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.1530240Z   test_dispatch_symbolic_meta_outplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1530403Z   test_dispatch_symbolic_meta_outplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1530563Z   test_dispatch_symbolic_meta_outplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1530736Z   test_dispatch_symbolic_meta_outplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.854s)
2022-11-23T01:45:56.1530895Z   test_dispatch_symbolic_meta_outplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.870s)
2022-11-23T01:45:56.1531060Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1531227Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1531397Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1531560Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1531724Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1531889Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1532055Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1532220Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1532376Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1532538Z   test_dispatch_symbolic_meta_outplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1532714Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1532890Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533068Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533242Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533443Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533609Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533773Z   test_dispatch_symbolic_meta_outplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1533938Z   test_dispatch_symbolic_meta_outplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534107Z   test_dispatch_symbolic_meta_outplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534299Z   test_dispatch_symbolic_meta_outplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534463Z   test_dispatch_symbolic_meta_outplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534628Z   test_dispatch_symbolic_meta_outplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534796Z   test_dispatch_symbolic_meta_outplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1534963Z   test_dispatch_symbolic_meta_outplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1535128Z   test_dispatch_symbolic_meta_outplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1535291Z   test_dispatch_symbolic_meta_outplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1535462Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1535642Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1535816Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1535990Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1536167Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1536339Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1536512Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1536683Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1536854Z   test_dispatch_symbolic_meta_outplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1537022Z   test_dispatch_symbolic_meta_outplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1537193Z   test_dispatch_symbolic_meta_outplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1537364Z   test_dispatch_symbolic_meta_outplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1537528Z   test_dispatch_symbolic_meta_outplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1537690Z   test_dispatch_symbolic_meta_outplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1537855Z   test_dispatch_symbolic_meta_outplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1538020Z   test_dispatch_symbolic_meta_outplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1538197Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1538369Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1538545Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1538745Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1539044Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1539217Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1539387Z   test_dispatch_symbolic_meta_outplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1539553Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1539716Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1539932Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1540095Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1540264Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1540428Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1540590Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1540755Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1540917Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1541080Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1541246Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1541410Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1541564Z   test_dispatch_symbolic_meta_outplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1541728Z   test_dispatch_symbolic_meta_outplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1541891Z   test_dispatch_symbolic_meta_outplace_real_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1542059Z   test_dispatch_symbolic_meta_outplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1542225Z   test_dispatch_symbolic_meta_outplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1542386Z   test_dispatch_symbolic_meta_outplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1542553Z   test_dispatch_symbolic_meta_outplace_real_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1542718Z   test_dispatch_symbolic_meta_outplace_real_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1542887Z   test_dispatch_symbolic_meta_outplace_real_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543042Z   test_dispatch_symbolic_meta_outplace_real_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543204Z   test_dispatch_symbolic_meta_outplace_real_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543366Z   test_dispatch_symbolic_meta_outplace_real_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543524Z   test_dispatch_symbolic_meta_outplace_real_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543685Z   test_dispatch_symbolic_meta_outplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1543864Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544036Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544249Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544422Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544596Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544768Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1544941Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545114Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545311Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545477Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545650Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545816Z   test_dispatch_symbolic_meta_outplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1545983Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1546155Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1546322Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1546487Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1546658Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1546822Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1546988Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1547154Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1547316Z   test_dispatch_symbolic_meta_outplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1547470Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1547636Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1547805Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1547973Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1548137Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1548299Z   test_dispatch_symbolic_meta_outplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1548466Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1548630Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1548803Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1548965Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1549133Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1549301Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1549464Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1549661Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1549828Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1549992Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1550153Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1550388Z   test_dispatch_symbolic_meta_outplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1550584Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1550842Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551031Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551217Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551403Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551583Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551762Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1551936Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552122Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552294Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552470Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552649Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552821Z   test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1552996Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1553169Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1553347Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1553528Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1553705Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1553873Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554046Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554220Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554394Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554561Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554731Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1554902Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1555066Z   test_dispatch_symbolic_meta_outplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1555257Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1555418Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1555589Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1555765Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1555933Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556124Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556291Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556458Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556626Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556795Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1556955Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1557125Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1557291Z   test_dispatch_symbolic_meta_outplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1557465Z   test_dispatch_symbolic_meta_outplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1557632Z   test_dispatch_symbolic_meta_outplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1557802Z   test_dispatch_symbolic_meta_outplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1557978Z   test_dispatch_symbolic_meta_outplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558145Z   test_dispatch_symbolic_meta_outplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558301Z   test_dispatch_symbolic_meta_outplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558464Z   test_dispatch_symbolic_meta_outplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558627Z   test_dispatch_symbolic_meta_outplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558793Z   test_dispatch_symbolic_meta_outplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1558958Z   test_dispatch_symbolic_meta_outplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1559127Z   test_dispatch_symbolic_meta_outplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1559289Z   test_dispatch_symbolic_meta_outplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1559464Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1559628Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1559797Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1559973Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1560147Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1560319Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1560515Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1560686Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1560852Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1561019Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1561186Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1561342Z   test_dispatch_symbolic_meta_outplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1561544Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1561716Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1561899Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562080Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562255Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562432Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562607Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562781Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1562947Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563117Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563293Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563464Z   test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563639Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563811Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1563991Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1564169Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1564345Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1564511Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1564686Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1564864Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565035Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565203Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565368Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565541Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565708Z   test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1565897Z   test_dispatch_symbolic_meta_outplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1566055Z   test_dispatch_symbolic_meta_outplace_roll_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1566225Z   test_dispatch_symbolic_meta_outplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1566392Z   test_dispatch_symbolic_meta_outplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1566560Z   test_dispatch_symbolic_meta_outplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1566726Z   test_dispatch_symbolic_meta_outplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1566915Z   test_dispatch_symbolic_meta_outplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567080Z   test_dispatch_symbolic_meta_outplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567246Z   test_dispatch_symbolic_meta_outplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567411Z   test_dispatch_symbolic_meta_outplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567567Z   test_dispatch_symbolic_meta_outplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567728Z   test_dispatch_symbolic_meta_outplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1567889Z   test_dispatch_symbolic_meta_outplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1568058Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1568223Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1568395Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1568564Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1568730Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1568897Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569055Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569219Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569383Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569549Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569709Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1569870Z   test_dispatch_symbolic_meta_outplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1570042Z   test_dispatch_symbolic_meta_outplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1570206Z   test_dispatch_symbolic_meta_outplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1570364Z   test_dispatch_symbolic_meta_outplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1570529Z   test_dispatch_symbolic_meta_outplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1570692Z   test_dispatch_symbolic_meta_outplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1570857Z   test_dispatch_symbolic_meta_outplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1571020Z   test_dispatch_symbolic_meta_outplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1571180Z   test_dispatch_symbolic_meta_outplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1571365Z   test_dispatch_symbolic_meta_outplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1571550Z   test_dispatch_symbolic_meta_outplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1571734Z   test_dispatch_symbolic_meta_outplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1571905Z   test_dispatch_symbolic_meta_outplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572079Z   test_dispatch_symbolic_meta_outplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572282Z   test_dispatch_symbolic_meta_outplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572454Z   test_dispatch_symbolic_meta_outplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572631Z   test_dispatch_symbolic_meta_outplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572803Z   test_dispatch_symbolic_meta_outplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1572986Z   test_dispatch_symbolic_meta_outplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1573170Z   test_dispatch_symbolic_meta_outplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1573353Z   test_dispatch_symbolic_meta_outplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1573529Z   test_dispatch_symbolic_meta_outplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1573700Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1573866Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574043Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574214Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574380Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574545Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574712Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1574879Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575035Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575200Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575363Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575527Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575687Z   test_dispatch_symbolic_meta_outplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1575851Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1576023Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1576191Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1576360Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1576520Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1576711Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1576875Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1577040Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1577200Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1577365Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1577525Z   test_dispatch_symbolic_meta_outplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1577729Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1577896Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1578082Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1578266Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1578445Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1578620Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1578942Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1579190Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1579367Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1579540Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1579718Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1579883Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1580054Z   test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1580229Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1580399Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1580581Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1580754Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1580928Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581099Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581265Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581427Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581592Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581755Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1581928Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1582094Z   test_dispatch_symbolic_meta_outplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1582316Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1582486Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1582659Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1582817Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1582986Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1583152Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1583346Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1583511Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1583681Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1583847Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1584016Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1584178Z   test_dispatch_symbolic_meta_outplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1584354Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1584538Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1584723Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1584904Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585085Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585262Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585437Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585614Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585786Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1585962Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1586141Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1586325Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1586501Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1586678Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1586849Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1587020Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1587201Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1587374Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1587579Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1587751Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1587926Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1588104Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1594992Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1595211Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.1595442Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1595625Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.1595805Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1595990Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1596171Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1596352Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1596530Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1596711Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1596886Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597061Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597233Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597411Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597591Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597770Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1597951Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1598131Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1598312Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1598492Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1598668Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1598835Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1599013Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1599185Z   test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.1599365Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.1599542Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.187s)
2022-11-23T01:45:56.1599749Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.187s)
2022-11-23T01:45:56.1599926Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:56.1600100Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.1600275Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:56.1600442Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:56.1600647Z   test_dispatch_symbolic_meta_outplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.186s)
2022-11-23T01:45:56.1600835Z   test_dispatch_symbolic_meta_outplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1601023Z   test_dispatch_symbolic_meta_outplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.1601201Z   test_dispatch_symbolic_meta_outplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.1601377Z   test_dispatch_symbolic_meta_outplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.1601557Z   test_dispatch_symbolic_meta_outplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1601731Z   test_dispatch_symbolic_meta_outplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1601907Z   test_dispatch_symbolic_meta_outplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.1602074Z   test_dispatch_symbolic_meta_outplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.1602243Z   test_dispatch_symbolic_meta_outplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1602410Z   test_dispatch_symbolic_meta_outplace_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1602583Z   test_dispatch_symbolic_meta_outplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1602755Z   test_dispatch_symbolic_meta_outplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1602921Z   test_dispatch_symbolic_meta_outplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603090Z   test_dispatch_symbolic_meta_outplace_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603257Z   test_dispatch_symbolic_meta_outplace_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603419Z   test_dispatch_symbolic_meta_outplace_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603577Z   test_dispatch_symbolic_meta_outplace_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603742Z   test_dispatch_symbolic_meta_outplace_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1603908Z   test_dispatch_symbolic_meta_outplace_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1604070Z   test_dispatch_symbolic_meta_outplace_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1604234Z   test_dispatch_symbolic_meta_outplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1604414Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1604593Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1604772Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1604978Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1605145Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1605320Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1605496Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1605668Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1605841Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1606038Z   test_dispatch_symbolic_meta_outplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1606206Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1606371Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1606547Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1606707Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1606877Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1607043Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1607209Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1607375Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1607536Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1607702Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1607859Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1608020Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1608168Z   test_dispatch_symbolic_meta_outplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1608338Z   test_dispatch_symbolic_meta_outplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1608501Z   test_dispatch_symbolic_meta_outplace_short_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1608678Z   test_dispatch_symbolic_meta_outplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1608850Z   test_dispatch_symbolic_meta_outplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609017Z   test_dispatch_symbolic_meta_outplace_short_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609182Z   test_dispatch_symbolic_meta_outplace_short_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609349Z   test_dispatch_symbolic_meta_outplace_short_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609503Z   test_dispatch_symbolic_meta_outplace_short_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609666Z   test_dispatch_symbolic_meta_outplace_short_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609826Z   test_dispatch_symbolic_meta_outplace_short_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1609995Z   test_dispatch_symbolic_meta_outplace_short_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1610153Z   test_dispatch_symbolic_meta_outplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1610327Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1610520Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1610699Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1610873Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611031Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611198Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611384Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611545Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611708Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1611872Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1612036Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1612199Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1612361Z   test_dispatch_symbolic_meta_outplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1612514Z   test_dispatch_symbolic_meta_outplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1612677Z   test_dispatch_symbolic_meta_outplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1612841Z   test_dispatch_symbolic_meta_outplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1613001Z   test_dispatch_symbolic_meta_outplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1613190Z   test_dispatch_symbolic_meta_outplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1613373Z   test_dispatch_symbolic_meta_outplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1613536Z   test_dispatch_symbolic_meta_outplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1613696Z   test_dispatch_symbolic_meta_outplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1613847Z   test_dispatch_symbolic_meta_outplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1614007Z   test_dispatch_symbolic_meta_outplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1614193Z   test_dispatch_symbolic_meta_outplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1614378Z   test_dispatch_symbolic_meta_outplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1614562Z   test_dispatch_symbolic_meta_outplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1614744Z   test_dispatch_symbolic_meta_outplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1614936Z   test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1615125Z   test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1615315Z   test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1615509Z   test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1615690Z   test_dispatch_symbolic_meta_outplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1615900Z   test_dispatch_symbolic_meta_outplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1616082Z   test_dispatch_symbolic_meta_outplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1616260Z   test_dispatch_symbolic_meta_outplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1616443Z   test_dispatch_symbolic_meta_outplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1616621Z   test_dispatch_symbolic_meta_outplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1616829Z   test_dispatch_symbolic_meta_outplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1617009Z   test_dispatch_symbolic_meta_outplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1617184Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1617342Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1617511Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1617674Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1617837Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618002Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618167Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618332Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618499Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618663Z   test_dispatch_symbolic_meta_outplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1618957Z   test_dispatch_symbolic_meta_outplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1619119Z   test_dispatch_symbolic_meta_outplace_sin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1619290Z   test_dispatch_symbolic_meta_outplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1619458Z   test_dispatch_symbolic_meta_outplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1619622Z   test_dispatch_symbolic_meta_outplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1619785Z   test_dispatch_symbolic_meta_outplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1619952Z   test_dispatch_symbolic_meta_outplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1620113Z   test_dispatch_symbolic_meta_outplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1620276Z   test_dispatch_symbolic_meta_outplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1620428Z   test_dispatch_symbolic_meta_outplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1620586Z   test_dispatch_symbolic_meta_outplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1620747Z   test_dispatch_symbolic_meta_outplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1620905Z   test_dispatch_symbolic_meta_outplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1621068Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1621275Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1621448Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1621616Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1621771Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1621934Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622097Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622287Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622448Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622611Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622768Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1622935Z   test_dispatch_symbolic_meta_outplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1623099Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1623252Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1623422Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1623596Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1623763Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1623930Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1624090Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1624253Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1624415Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1624575Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1624728Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1624891Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625052Z   test_dispatch_symbolic_meta_outplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625217Z   test_dispatch_symbolic_meta_outplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625380Z   test_dispatch_symbolic_meta_outplace_slice_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625551Z   test_dispatch_symbolic_meta_outplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625720Z   test_dispatch_symbolic_meta_outplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1625885Z   test_dispatch_symbolic_meta_outplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626042Z   test_dispatch_symbolic_meta_outplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626209Z   test_dispatch_symbolic_meta_outplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626373Z   test_dispatch_symbolic_meta_outplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626535Z   test_dispatch_symbolic_meta_outplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626723Z   test_dispatch_symbolic_meta_outplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1626887Z   test_dispatch_symbolic_meta_outplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1627046Z   test_dispatch_symbolic_meta_outplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1627204Z   test_dispatch_symbolic_meta_outplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1627382Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1627574Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1627749Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1627924Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628101Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628276Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628448Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628619Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628793Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1628964Z   test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1629129Z   test_dispatch_symbolic_meta_outplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1629299Z   test_dispatch_symbolic_meta_outplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1629461Z   test_dispatch_symbolic_meta_outplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1629622Z   test_dispatch_symbolic_meta_outplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1629802Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1629982Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1630167Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1630433Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1630645Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1630821Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1631001Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1631179Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1631356Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1631529Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1631707Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1631879Z   test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1632088Z   test_dispatch_symbolic_meta_outplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1632255Z   test_dispatch_symbolic_meta_outplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1632412Z   test_dispatch_symbolic_meta_outplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1632574Z   test_dispatch_symbolic_meta_outplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1632734Z   test_dispatch_symbolic_meta_outplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1632897Z   test_dispatch_symbolic_meta_outplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1633081Z   test_dispatch_symbolic_meta_outplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.1633240Z   test_dispatch_symbolic_meta_outplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1633401Z   test_dispatch_symbolic_meta_outplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1633591Z   test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1633776Z   test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1633951Z   test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1634135Z   test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1634313Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1634492Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1634668Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1634844Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1635017Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1635190Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1635362Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1635528Z   test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1635708Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1635886Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636064Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636238Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636418Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636590Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636764Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1636935Z   test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637099Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637278Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637481Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637653Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637826Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1637992Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1638162Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1638352Z   test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1638522Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1638698Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1638864Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639033Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639204Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639369Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639538Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639704Z   test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1639872Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1640050Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1640223Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1640383Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1640553Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1640720Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1640898Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1641070Z   test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1641263Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1641460Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1641657Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1641851Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1642030Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1642223Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1642413Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1642631Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1642824Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1643018Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1643210Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1643399Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1643620Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1643807Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1644000Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1644216Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1644706Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1645079Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1645452Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1645818Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1646182Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1646541Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1646899Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1647260Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1647622Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1647987Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1648348Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1648694Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1649053Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1649442Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1649802Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1650158Z   test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1650361Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1650533Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1650708Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1650885Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651058Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651237Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651401Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651572Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651745Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1651915Z   test_dispatch_symbolic_meta_outplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1652090Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1652265Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1652441Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1652613Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1652786Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1652950Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1653125Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1653292Z   test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1653487Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1653679Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1653870Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1654064Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1654254Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1654445Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1654625Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1654835Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655025Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655218Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655409Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655600Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655811Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1655993Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1656179Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1656369Z   test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1656536Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1656708Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1656881Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657059Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657231Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657401Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657564Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657725Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1657892Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1658048Z   test_dispatch_symbolic_meta_outplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1658214Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1658384Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1658556Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1658728Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659074Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659271Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659442Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659597Z   test_dispatch_symbolic_meta_outplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659760Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1659933Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660107Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660326Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660490Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660655Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660822Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1660985Z   test_dispatch_symbolic_meta_outplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1661169Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1661402Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1661597Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1661787Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1661978Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1662167Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1662358Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1662549Z   test_dispatch_symbolic_meta_outplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1662929Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1663296Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1663651Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1664004Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1664354Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1664702Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1665061Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1665407Z   test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1665585Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1665766Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1665947Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1666124Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1666326Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1666500Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1666668Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1666846Z   test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1667032Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1667243Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1667432Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1667621Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1667803Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1667980Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1668165Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1668335Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1668521Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1668706Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1668898Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1669085Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1669265Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1669442Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1669625Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1669808Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1669989Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1670171Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1670463Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1670676Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1670860Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1671036Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1671224Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1671405Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1671625Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1671811Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1671991Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1672179Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1672358Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1672563Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1672741Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1672923Z   test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1673101Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1673302Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1673498Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1673673Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1673847Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674023Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674195Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674363Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674534Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674705Z   test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1674881Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675058Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675234Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675409Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675582Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675759Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1675923Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1676094Z   test_dispatch_symbolic_meta_outplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1676299Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1676507Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1676711Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1676906Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1677136Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1677339Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1677540Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1677739Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1677951Z   test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1678145Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1678341Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1678535Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1678726Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1678916Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1679113Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1679308Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1679496Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1679688Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1679874Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1680068Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1680256Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1680449Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1680634Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1680821Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1681006Z   test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1681388Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1681766Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1682146Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1682544Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1682907Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1683277Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1683645Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1684030Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1684398Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1684771Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1685141Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1685504Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1685876Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1686242Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1686606Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1686970Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1687335Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1687709Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1688072Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1688433Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1688795Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1689159Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1689546Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1689907Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1690268Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1690638Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1691031Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1691392Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1691755Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1692110Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1692474Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1692839Z   test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:45:56.1693027Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1693213Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1693406Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1693594Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1693779Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1693957Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1694145Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1694323Z   test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1694505Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1694682Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1694854Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1695035Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1695212Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1695386Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1695588Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1695765Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1695941Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1696113Z   test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1696287Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1696479Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1696654Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1696830Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1697002Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1697172Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1697343Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1697513Z   test_dispatch_symbolic_meta_outplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1697684Z   test_dispatch_symbolic_meta_outplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1697851Z   test_dispatch_symbolic_meta_outplace_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1698016Z   test_dispatch_symbolic_meta_outplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1698191Z   test_dispatch_symbolic_meta_outplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1698356Z   test_dispatch_symbolic_meta_outplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1698521Z   test_dispatch_symbolic_meta_outplace_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1698688Z   test_dispatch_symbolic_meta_outplace_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1699018Z   test_dispatch_symbolic_meta_outplace_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1699221Z   test_dispatch_symbolic_meta_outplace_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1699392Z   test_dispatch_symbolic_meta_outplace_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1699557Z   test_dispatch_symbolic_meta_outplace_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1699716Z   test_dispatch_symbolic_meta_outplace_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1699884Z   test_dispatch_symbolic_meta_outplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1700063Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1700238Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1700421Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1700602Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1700782Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1700958Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1701179Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1701349Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1701523Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1701698Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1701872Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1702073Z   test_dispatch_symbolic_meta_outplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1702253Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1702430Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1702613Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1702793Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1702968Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1703150Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1703351Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1703550Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1703725Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1703901Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1704070Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1704246Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1704415Z   test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1704574Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1704741Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1704912Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1705079Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1705246Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1705411Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1705576Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1705741Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1705906Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1706064Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1706225Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1706387Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1706572Z   test_dispatch_symbolic_meta_outplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1706744Z   test_dispatch_symbolic_meta_outplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1706909Z   test_dispatch_symbolic_meta_outplace_square_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707086Z   test_dispatch_symbolic_meta_outplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707258Z   test_dispatch_symbolic_meta_outplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707448Z   test_dispatch_symbolic_meta_outplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707604Z   test_dispatch_symbolic_meta_outplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707765Z   test_dispatch_symbolic_meta_outplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1707932Z   test_dispatch_symbolic_meta_outplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1708100Z   test_dispatch_symbolic_meta_outplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1708263Z   test_dispatch_symbolic_meta_outplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1708424Z   test_dispatch_symbolic_meta_outplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1708585Z   test_dispatch_symbolic_meta_outplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1708763Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1708921Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709099Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709273Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709439Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709608Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709773Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1709934Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1710100Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1710344Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1710519Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1710686Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1710851Z   test_dispatch_symbolic_meta_outplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1711021Z   test_dispatch_symbolic_meta_outplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1711185Z   test_dispatch_symbolic_meta_outplace_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1711354Z   test_dispatch_symbolic_meta_outplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1711523Z   test_dispatch_symbolic_meta_outplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1711691Z   test_dispatch_symbolic_meta_outplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1711854Z   test_dispatch_symbolic_meta_outplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712052Z   test_dispatch_symbolic_meta_outplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712217Z   test_dispatch_symbolic_meta_outplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712380Z   test_dispatch_symbolic_meta_outplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712543Z   test_dispatch_symbolic_meta_outplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712707Z   test_dispatch_symbolic_meta_outplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1712896Z   test_dispatch_symbolic_meta_outplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1713055Z   test_dispatch_symbolic_meta_outplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1713220Z   test_dispatch_symbolic_meta_outplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1713394Z   test_dispatch_symbolic_meta_outplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1713550Z   test_dispatch_symbolic_meta_outplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1713718Z   test_dispatch_symbolic_meta_outplace_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1713879Z   test_dispatch_symbolic_meta_outplace_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1714040Z   test_dispatch_symbolic_meta_outplace_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1714211Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1714388Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1714562Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1714738Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1714897Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1715061Z   test_dispatch_symbolic_meta_outplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1715230Z   test_dispatch_symbolic_meta_outplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1715399Z   test_dispatch_symbolic_meta_outplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1715568Z   test_dispatch_symbolic_meta_outplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1715731Z   test_dispatch_symbolic_meta_outplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1715894Z   test_dispatch_symbolic_meta_outplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1716066Z   test_dispatch_symbolic_meta_outplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1716229Z   test_dispatch_symbolic_meta_outplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1716389Z   test_dispatch_symbolic_meta_outplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1716551Z   test_dispatch_symbolic_meta_outplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1716715Z   test_dispatch_symbolic_meta_outplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1716878Z   test_dispatch_symbolic_meta_outplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1717043Z   test_dispatch_symbolic_meta_outplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1717205Z   test_dispatch_symbolic_meta_outplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1717392Z   test_dispatch_symbolic_meta_outplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1717556Z   test_dispatch_symbolic_meta_outplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1717711Z   test_dispatch_symbolic_meta_outplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1717867Z   test_dispatch_symbolic_meta_outplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1718029Z   test_dispatch_symbolic_meta_outplace_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1718197Z   test_dispatch_symbolic_meta_outplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1718386Z   test_dispatch_symbolic_meta_outplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1718550Z   test_dispatch_symbolic_meta_outplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1718715Z   test_dispatch_symbolic_meta_outplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1718877Z   test_dispatch_symbolic_meta_outplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1719039Z   test_dispatch_symbolic_meta_outplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1719192Z   test_dispatch_symbolic_meta_outplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1719356Z   test_dispatch_symbolic_meta_outplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1719511Z   test_dispatch_symbolic_meta_outplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1719673Z   test_dispatch_symbolic_meta_outplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1719834Z   test_dispatch_symbolic_meta_outplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1720009Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1720181Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1720358Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1720534Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1720700Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1720871Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1721044Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1721215Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1721383Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1721544Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1721713Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1721876Z   test_dispatch_symbolic_meta_outplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1722043Z   test_dispatch_symbolic_meta_outplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.437s)
2022-11-23T01:45:56.1722201Z   test_dispatch_symbolic_meta_outplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.186s)
2022-11-23T01:45:56.1722365Z   test_dispatch_symbolic_meta_outplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.181s)
2022-11-23T01:45:56.1722525Z   test_dispatch_symbolic_meta_outplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.218s)
2022-11-23T01:45:56.1722725Z   test_dispatch_symbolic_meta_outplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.325s)
2022-11-23T01:45:56.1722900Z   test_dispatch_symbolic_meta_outplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.324s)
2022-11-23T01:45:56.1723072Z   test_dispatch_symbolic_meta_outplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1723243Z   test_dispatch_symbolic_meta_outplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1723412Z   test_dispatch_symbolic_meta_outplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1723576Z   test_dispatch_symbolic_meta_outplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.1723753Z   test_dispatch_symbolic_meta_outplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1723916Z   test_dispatch_symbolic_meta_outplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724084Z   test_dispatch_symbolic_meta_outplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724249Z   test_dispatch_symbolic_meta_outplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724410Z   test_dispatch_symbolic_meta_outplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724572Z   test_dispatch_symbolic_meta_outplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724727Z   test_dispatch_symbolic_meta_outplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1724891Z   test_dispatch_symbolic_meta_outplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1725053Z   test_dispatch_symbolic_meta_outplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1725201Z   test_dispatch_symbolic_meta_outplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1725359Z   test_dispatch_symbolic_meta_outplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1725515Z   test_dispatch_symbolic_meta_outplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1725695Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1725871Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726051Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726229Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726408Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726582Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726755Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1726930Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1727104Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1727276Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1727448Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1727622Z   test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1727792Z   test_dispatch_symbolic_meta_outplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1727954Z   test_dispatch_symbolic_meta_outplace_take_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728141Z   test_dispatch_symbolic_meta_outplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728310Z   test_dispatch_symbolic_meta_outplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728474Z   test_dispatch_symbolic_meta_outplace_take_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728640Z   test_dispatch_symbolic_meta_outplace_take_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728805Z   test_dispatch_symbolic_meta_outplace_take_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1728968Z   test_dispatch_symbolic_meta_outplace_take_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1729150Z   test_dispatch_symbolic_meta_outplace_take_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1729314Z   test_dispatch_symbolic_meta_outplace_take_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1729476Z   test_dispatch_symbolic_meta_outplace_take_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1729628Z   test_dispatch_symbolic_meta_outplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1729793Z   test_dispatch_symbolic_meta_outplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1729958Z   test_dispatch_symbolic_meta_outplace_tan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1730124Z   test_dispatch_symbolic_meta_outplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1730289Z   test_dispatch_symbolic_meta_outplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1730457Z   test_dispatch_symbolic_meta_outplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1730622Z   test_dispatch_symbolic_meta_outplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1730789Z   test_dispatch_symbolic_meta_outplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1730951Z   test_dispatch_symbolic_meta_outplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1731107Z   test_dispatch_symbolic_meta_outplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1731270Z   test_dispatch_symbolic_meta_outplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1731427Z   test_dispatch_symbolic_meta_outplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1731588Z   test_dispatch_symbolic_meta_outplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1731746Z   test_dispatch_symbolic_meta_outplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1731913Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1732074Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1732247Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1732407Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1732570Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1732734Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1732899Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1733065Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1733227Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1733389Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1733568Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1733730Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1733883Z   test_dispatch_symbolic_meta_outplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1734059Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1734231Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1734435Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1734617Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1734791Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1734967Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735142Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735314Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735479Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735651Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735825Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1735996Z   test_dispatch_symbolic_meta_outplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1736167Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1736341Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1736516Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1736687Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1736849Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1737005Z   test_dispatch_symbolic_meta_outplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1737173Z   test_dispatch_symbolic_meta_outplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1737337Z   test_dispatch_symbolic_meta_outplace_tile_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1737510Z   test_dispatch_symbolic_meta_outplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1737675Z   test_dispatch_symbolic_meta_outplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1737837Z   test_dispatch_symbolic_meta_outplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1738001Z   test_dispatch_symbolic_meta_outplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1738165Z   test_dispatch_symbolic_meta_outplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1738325Z   test_dispatch_symbolic_meta_outplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1738480Z   test_dispatch_symbolic_meta_outplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1738643Z   test_dispatch_symbolic_meta_outplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1738993Z   test_dispatch_symbolic_meta_outplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.1739207Z   test_dispatch_symbolic_meta_outplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.1739375Z   test_dispatch_symbolic_meta_outplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1739535Z   test_dispatch_symbolic_meta_outplace_to_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1739704Z   test_dispatch_symbolic_meta_outplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1739869Z   test_dispatch_symbolic_meta_outplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740061Z   test_dispatch_symbolic_meta_outplace_to_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740225Z   test_dispatch_symbolic_meta_outplace_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740384Z   test_dispatch_symbolic_meta_outplace_to_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740549Z   test_dispatch_symbolic_meta_outplace_to_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740712Z   test_dispatch_symbolic_meta_outplace_to_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1740873Z   test_dispatch_symbolic_meta_outplace_to_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1741031Z   test_dispatch_symbolic_meta_outplace_to_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1741188Z   test_dispatch_symbolic_meta_outplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1741366Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1741530Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1741708Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1741885Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742057Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742226Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742393Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742565Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742735Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1742899Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1743060Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1743226Z   test_dispatch_symbolic_meta_outplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1743394Z   test_dispatch_symbolic_meta_outplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1743559Z   test_dispatch_symbolic_meta_outplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1743723Z   test_dispatch_symbolic_meta_outplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1743888Z   test_dispatch_symbolic_meta_outplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744060Z   test_dispatch_symbolic_meta_outplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744220Z   test_dispatch_symbolic_meta_outplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744384Z   test_dispatch_symbolic_meta_outplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744564Z   test_dispatch_symbolic_meta_outplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744726Z   test_dispatch_symbolic_meta_outplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1744894Z   test_dispatch_symbolic_meta_outplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745058Z   test_dispatch_symbolic_meta_outplace_trace_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745229Z   test_dispatch_symbolic_meta_outplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745422Z   test_dispatch_symbolic_meta_outplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745587Z   test_dispatch_symbolic_meta_outplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745752Z   test_dispatch_symbolic_meta_outplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1745914Z   test_dispatch_symbolic_meta_outplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746080Z   test_dispatch_symbolic_meta_outplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746245Z   test_dispatch_symbolic_meta_outplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746410Z   test_dispatch_symbolic_meta_outplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746576Z   test_dispatch_symbolic_meta_outplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746738Z   test_dispatch_symbolic_meta_outplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1746898Z   test_dispatch_symbolic_meta_outplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1747071Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1747246Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1747417Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1747595Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1747768Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1747939Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1748108Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1748273Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1748443Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1748612Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1748774Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1748934Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1749098Z   test_dispatch_symbolic_meta_outplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1749273Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1749455Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1749629Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1749802Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1750007Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1750177Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1750422Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1750590Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1750751Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1750945Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1751112Z   test_dispatch_symbolic_meta_outplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1751277Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1751445Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1751610Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1751774Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.1751938Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1752095Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.1752265Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1752428Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1752593Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1752754Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1752914Z   test_dispatch_symbolic_meta_outplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.1753097Z   test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.1753281Z   test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1753462Z   test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1753635Z   test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.1753796Z   test_dispatch_symbolic_meta_outplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1753963Z   test_dispatch_symbolic_meta_outplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754127Z   test_dispatch_symbolic_meta_outplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754293Z   test_dispatch_symbolic_meta_outplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754456Z   test_dispatch_symbolic_meta_outplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754615Z   test_dispatch_symbolic_meta_outplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754779Z   test_dispatch_symbolic_meta_outplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1754934Z   test_dispatch_symbolic_meta_outplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1755095Z   test_dispatch_symbolic_meta_outplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1755277Z   test_dispatch_symbolic_meta_outplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1755438Z   test_dispatch_symbolic_meta_outplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1755597Z   test_dispatch_symbolic_meta_outplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1755768Z   test_dispatch_symbolic_meta_outplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1755939Z   test_dispatch_symbolic_meta_outplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1756102Z   test_dispatch_symbolic_meta_outplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1756291Z   test_dispatch_symbolic_meta_outplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1756447Z   test_dispatch_symbolic_meta_outplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1756610Z   test_dispatch_symbolic_meta_outplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1756770Z   test_dispatch_symbolic_meta_outplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1756932Z   test_dispatch_symbolic_meta_outplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757097Z   test_dispatch_symbolic_meta_outplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757258Z   test_dispatch_symbolic_meta_outplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757417Z   test_dispatch_symbolic_meta_outplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757582Z   test_dispatch_symbolic_meta_outplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757740Z   test_dispatch_symbolic_meta_outplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1757890Z   test_dispatch_symbolic_meta_outplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1758066Z   test_dispatch_symbolic_meta_outplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1758236Z   test_dispatch_symbolic_meta_outplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1758411Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1758581Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1758759Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1758937Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.1759114Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1759291Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1759457Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1759629Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1759798Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1759962Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1760124Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1760295Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1760457Z   test_dispatch_symbolic_meta_outplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1760650Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1760815Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1760972Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761140Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761305Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761467Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761653Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761815Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1761975Z   test_dispatch_symbolic_meta_outplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1762144Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1762299Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1762470Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1762639Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1762805Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1762975Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763141Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763303Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763464Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763629Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763784Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1763942Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764102Z   test_dispatch_symbolic_meta_outplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764280Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764445Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764621Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764798Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1764973Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765142Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765301Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765464Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765639Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765804Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1765991Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1766158Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1766318Z   test_dispatch_symbolic_meta_outplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1766494Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1766663Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1766833Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767034Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767211Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767386Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767561Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767731Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1767895Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1768058Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1768227Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1768387Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1768552Z   test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1768721Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1768884Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769050Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769223Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769389Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769558Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769720Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1769874Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770042Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770206Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770370Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770530Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770691Z   test_dispatch_symbolic_meta_outplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1770864Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771034Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771196Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771393Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771559Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771721Z   test_dispatch_symbolic_meta_outplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1771901Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... ok (0.128s)
2022-11-23T01:45:56.1772082Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:56.1772288Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:56.1772468Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.130s)
2022-11-23T01:45:56.1772649Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:56.1772819Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.129s)
2022-11-23T01:45:56.1772993Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:56.1773171Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:56.1773346Z   test_dispatch_symbolic_meta_outplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.131s)
2022-11-23T01:45:56.1773509Z   test_dispatch_symbolic_meta_outplace_unique_cuda_bool (__main__.TestMetaCUDA) ... ok (0.271s)
2022-11-23T01:45:56.1773676Z   test_dispatch_symbolic_meta_outplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.1773840Z   test_dispatch_symbolic_meta_outplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.290s)
2022-11-23T01:45:56.1774007Z   test_dispatch_symbolic_meta_outplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:56.1774171Z   test_dispatch_symbolic_meta_outplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.326s)
2022-11-23T01:45:56.1774326Z   test_dispatch_symbolic_meta_outplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.331s)
2022-11-23T01:45:56.1774491Z   test_dispatch_symbolic_meta_outplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.378s)
2022-11-23T01:45:56.1774648Z   test_dispatch_symbolic_meta_outplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.271s)
2022-11-23T01:45:56.1774809Z   test_dispatch_symbolic_meta_outplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.270s)
2022-11-23T01:45:56.1774988Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1775156Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1775338Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1775512Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1775685Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1775847Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776011Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776177Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776343Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776506Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776690Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1776857Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1777018Z   test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1777180Z   test_dispatch_symbolic_meta_outplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1777341Z   test_dispatch_symbolic_meta_outplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1777530Z   test_dispatch_symbolic_meta_outplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1777692Z   test_dispatch_symbolic_meta_outplace_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1777850Z   test_dispatch_symbolic_meta_outplace_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1778017Z   test_dispatch_symbolic_meta_outplace_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1778186Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1778358Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1778530Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1778700Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.1778989Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1779157Z   test_dispatch_symbolic_meta_outplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1779324Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1779493Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1779659Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1779823Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1779986Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1780147Z   test_dispatch_symbolic_meta_outplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1780324Z   test_dispatch_symbolic_meta_outplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1780492Z   test_dispatch_symbolic_meta_outplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1780664Z   test_dispatch_symbolic_meta_outplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1780833Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1780995Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1781168Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1781337Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1781500Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1781669Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1781828Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782040Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782206Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782369Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782532Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782695Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1782856Z   test_dispatch_symbolic_meta_outplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1783064Z   test_dispatch_symbolic_meta_outplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1783240Z   test_dispatch_symbolic_meta_outplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1783406Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1783573Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1783744Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1783911Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784076Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784241Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784406Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784567Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784733Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1784888Z   test_dispatch_symbolic_meta_outplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1785050Z   test_dispatch_symbolic_meta_outplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1785214Z   test_dispatch_symbolic_meta_outplace_view_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1785381Z   test_dispatch_symbolic_meta_outplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1785547Z   test_dispatch_symbolic_meta_outplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1785710Z   test_dispatch_symbolic_meta_outplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1785873Z   test_dispatch_symbolic_meta_outplace_view_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786039Z   test_dispatch_symbolic_meta_outplace_view_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786202Z   test_dispatch_symbolic_meta_outplace_view_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786357Z   test_dispatch_symbolic_meta_outplace_view_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786518Z   test_dispatch_symbolic_meta_outplace_view_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786681Z   test_dispatch_symbolic_meta_outplace_view_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1786839Z   test_dispatch_symbolic_meta_outplace_view_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1787000Z   test_dispatch_symbolic_meta_outplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1787166Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1787367Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1787540Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1787714Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1787872Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788041Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788205Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788389Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788550Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788712Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1788876Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1789039Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1789195Z   test_dispatch_symbolic_meta_outplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1789362Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1789524Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1789698Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1789869Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1790039Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1790205Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1790441Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1790623Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1790785Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1790951Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1791116Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1791277Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1791442Z   test_dispatch_symbolic_meta_outplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1791608Z   test_dispatch_symbolic_meta_outplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1791768Z   test_dispatch_symbolic_meta_outplace_where_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1791938Z   test_dispatch_symbolic_meta_outplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792105Z   test_dispatch_symbolic_meta_outplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792265Z   test_dispatch_symbolic_meta_outplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792433Z   test_dispatch_symbolic_meta_outplace_where_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792597Z   test_dispatch_symbolic_meta_outplace_where_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792763Z   test_dispatch_symbolic_meta_outplace_where_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1792950Z   test_dispatch_symbolic_meta_outplace_where_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1793116Z   test_dispatch_symbolic_meta_outplace_where_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1793275Z   test_dispatch_symbolic_meta_outplace_where_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1793436Z   test_dispatch_symbolic_meta_outplace_where_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1793596Z   test_dispatch_symbolic_meta_outplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1793779Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.1793942Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1794105Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1794273Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1794440Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.1794601Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1794760Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1794922Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1795078Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1795238Z   test_dispatch_symbolic_meta_outplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.1795402Z   test_dispatch_symbolic_meta_outplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1795567Z   test_dispatch_symbolic_meta_outplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1795737Z   test_dispatch_symbolic_meta_outplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1795905Z   test_dispatch_symbolic_meta_outplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796066Z   test_dispatch_symbolic_meta_outplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796228Z   test_dispatch_symbolic_meta_outplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796393Z   test_dispatch_symbolic_meta_outplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796544Z   test_dispatch_symbolic_meta_outplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796702Z   test_dispatch_symbolic_meta_outplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1796865Z   test_dispatch_symbolic_meta_outplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1797023Z   test_dispatch_symbolic_meta_outplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1797180Z   test_dispatch_symbolic_meta_outplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1797346Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1797505Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1797677Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1797849Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798007Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798194Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798358Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798524Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798683Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1798841Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1799000Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1799188Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1799339Z   test_dispatch_symbolic_meta_outplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1799513Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1799682Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1799856Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800033Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800207Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800379Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800553Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800724Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1800888Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1801052Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1801213Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1801380Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1801543Z   test_dispatch_symbolic_meta_outplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1801680Z   test_empty_quantized_cuda (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1801828Z   test_fill__alias_relationship_cuda (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1801959Z   test_fill_stride_cuda (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1802098Z   test_huber_loss_backward_cuda (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1802689Z   test_map_location_deserialize_cuda (__main__.TestMetaCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:45:56.1802797Z   warnings.warn(message, UserWarning)
2022-11-23T01:45:56.1802870Z ok (0.002s)
2022-11-23T01:45:56.1803227Z   test_meta__fused_moving_avg_obs_fq_helper_cuda (__main__.TestMetaCUDA) ... [W ReduceAllOps.cpp:66] Warning: _aminmax is deprecated as of PyTorch 1.11 and will be removed in a future release. Use aminmax instead. This warning will only appear once per process. (function operator())
2022-11-23T01:45:56.1803307Z ok (0.004s)
2022-11-23T01:45:56.1803488Z   test_meta_inplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1803695Z   test_meta_inplace_H_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1803883Z   test_meta_inplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804064Z   test_meta_inplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804240Z   test_meta_inplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804421Z   test_meta_inplace_H_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804625Z   test_meta_inplace_H_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804797Z   test_meta_inplace_H_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1804976Z   test_meta_inplace_H_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1805152Z   test_meta_inplace_H_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1805320Z   test_meta_inplace_H_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1805496Z   test_meta_inplace_H_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1805665Z   test_meta_inplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1805848Z   test_meta_inplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806024Z   test_meta_inplace_T_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806207Z   test_meta_inplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806390Z   test_meta_inplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806572Z   test_meta_inplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806749Z   test_meta_inplace_T_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1806921Z   test_meta_inplace_T_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807092Z   test_meta_inplace_T_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807266Z   test_meta_inplace_T_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807435Z   test_meta_inplace_T_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807597Z   test_meta_inplace_T_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807773Z   test_meta_inplace_T_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1807942Z   test_meta_inplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1808132Z   test_meta_inplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1808318Z   test_meta_inplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1808512Z   test_meta_inplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1808703Z   test_meta_inplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1808913Z   test_meta_inplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1809099Z   test_meta_inplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1809278Z   test_meta_inplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1809464Z   test_meta_inplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1809651Z   test_meta_inplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1809850Z   test_meta_inplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810026Z   test_meta_inplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810211Z   test_meta_inplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810386Z   test_meta_inplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810561Z   test_meta_inplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810741Z   test_meta_inplace___radd___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1810925Z   test_meta_inplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1811107Z   test_meta_inplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1811289Z   test_meta_inplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1811470Z   test_meta_inplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1811644Z   test_meta_inplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1811825Z   test_meta_inplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812000Z   test_meta_inplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812172Z   test_meta_inplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812351Z   test_meta_inplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812529Z   test_meta_inplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812701Z   test_meta_inplace___rand___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1812883Z   test_meta_inplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813058Z   test_meta_inplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813232Z   test_meta_inplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813410Z   test_meta_inplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813592Z   test_meta_inplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813777Z   test_meta_inplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1813979Z   test_meta_inplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1814168Z   test_meta_inplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1814354Z   test_meta_inplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1814530Z   test_meta_inplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1814710Z   test_meta_inplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1814920Z   test_meta_inplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815095Z   test_meta_inplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815271Z   test_meta_inplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815442Z   test_meta_inplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815619Z   test_meta_inplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815796Z   test_meta_inplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1815984Z   test_meta_inplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1816168Z   test_meta_inplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1816359Z   test_meta_inplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1816547Z   test_meta_inplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1816732Z   test_meta_inplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1816917Z   test_meta_inplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817097Z   test_meta_inplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817277Z   test_meta_inplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817455Z   test_meta_inplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817633Z   test_meta_inplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817811Z   test_meta_inplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1817977Z   test_meta_inplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1818148Z   test_meta_inplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1818325Z   test_meta_inplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1818499Z   test_meta_inplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1818684Z   test_meta_inplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1819026Z   test_meta_inplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1819323Z   test_meta_inplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1819515Z   test_meta_inplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1819699Z   test_meta_inplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1819878Z   test_meta_inplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820046Z   test_meta_inplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820226Z   test_meta_inplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820434Z   test_meta_inplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820610Z   test_meta_inplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820790Z   test_meta_inplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1820968Z   test_meta_inplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1821149Z   test_meta_inplace___ror___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1821326Z   test_meta_inplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1821506Z   test_meta_inplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1821679Z   test_meta_inplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1821857Z   test_meta_inplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822036Z   test_meta_inplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822223Z   test_meta_inplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822408Z   test_meta_inplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822596Z   test_meta_inplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822778Z   test_meta_inplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1822958Z   test_meta_inplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1823137Z   test_meta_inplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1823314Z   test_meta_inplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1823488Z   test_meta_inplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1823666Z   test_meta_inplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1823842Z   test_meta_inplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824023Z   test_meta_inplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824206Z   test_meta_inplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824389Z   test_meta_inplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824611Z   test_meta_inplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824790Z   test_meta_inplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1824965Z   test_meta_inplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1825132Z   test_meta_inplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1825308Z   test_meta_inplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1825504Z   test_meta_inplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1825677Z   test_meta_inplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1825856Z   test_meta_inplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826036Z   test_meta_inplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826210Z   test_meta_inplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826389Z   test_meta_inplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826563Z   test_meta_inplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826731Z   test_meta_inplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1826909Z   test_meta_inplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1827095Z   test_meta_inplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1827300Z   test_meta_inplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1827503Z   test_meta_inplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1827699Z   test_meta_inplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1827893Z   test_meta_inplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1828045Z   test_meta_inplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1828190Z   test_meta_inplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1828378Z   test_meta_inplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.004s)
2022-11-23T01:45:56.1828555Z   test_meta_inplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.004s)
2022-11-23T01:45:56.1828735Z   test_meta_inplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.004s)
2022-11-23T01:45:56.1828881Z   test_meta_inplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829028Z   test_meta_inplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829170Z   test_meta_inplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829316Z   test_meta_inplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829460Z   test_meta_inplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829598Z   test_meta_inplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829757Z   test_meta_inplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1829901Z   test_meta_inplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1830052Z   test_meta_inplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1830229Z   test_meta_inplace_acos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1830467Z   test_meta_inplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1830626Z   test_meta_inplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1830803Z   test_meta_inplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1830948Z   test_meta_inplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1831085Z   test_meta_inplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1831228Z   test_meta_inplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1831404Z   test_meta_inplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1831577Z   test_meta_inplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1831751Z   test_meta_inplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1831926Z   test_meta_inplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1832099Z   test_meta_inplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1832251Z   test_meta_inplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1832422Z   test_meta_inplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1832568Z   test_meta_inplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1832718Z   test_meta_inplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1832869Z   test_meta_inplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1833015Z   test_meta_inplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1833161Z   test_meta_inplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1833306Z   test_meta_inplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1833481Z   test_meta_inplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1833659Z   test_meta_inplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1833827Z   test_meta_inplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1834004Z   test_meta_inplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1834177Z   test_meta_inplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1834322Z   test_meta_inplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1834463Z   test_meta_inplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1834613Z   test_meta_inplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1834759Z   test_meta_inplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1834909Z   test_meta_inplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835056Z   test_meta_inplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835192Z   test_meta_inplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835358Z   test_meta_inplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835501Z   test_meta_inplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835640Z   test_meta_inplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835775Z   test_meta_inplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1835914Z   test_meta_inplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1836054Z   test_meta_inplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.276s)
2022-11-23T01:45:56.1836203Z   test_meta_inplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1836373Z   test_meta_inplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1836522Z   test_meta_inplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1836670Z   test_meta_inplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1836818Z   test_meta_inplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1836964Z   test_meta_inplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1837110Z   test_meta_inplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.1837265Z   test_meta_inplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1837415Z   test_meta_inplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1837557Z   test_meta_inplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1837712Z   test_meta_inplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1837858Z   test_meta_inplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1838007Z   test_meta_inplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1838162Z   test_meta_inplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1838312Z   test_meta_inplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1838460Z   test_meta_inplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.1838606Z   test_meta_inplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1838743Z   test_meta_inplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.1838889Z   test_meta_inplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1839038Z   test_meta_inplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1839185Z   test_meta_inplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1839329Z   test_meta_inplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1839473Z   test_meta_inplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.1839620Z   test_meta_inplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1839768Z   test_meta_inplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1839911Z   test_meta_inplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1840054Z   test_meta_inplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1840198Z   test_meta_inplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1840341Z   test_meta_inplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1840507Z   test_meta_inplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1840671Z   test_meta_inplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1840834Z   test_meta_inplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1841017Z   test_meta_inplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1841171Z   test_meta_inplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1841328Z   test_meta_inplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1841475Z   test_meta_inplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1841627Z   test_meta_inplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1841773Z   test_meta_inplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1841945Z   test_meta_inplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1842090Z   test_meta_inplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1842235Z   test_meta_inplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1842377Z   test_meta_inplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1842511Z   test_meta_inplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1842657Z   test_meta_inplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1842804Z   test_meta_inplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1842947Z   test_meta_inplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1843088Z   test_meta_inplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1843230Z   test_meta_inplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1843370Z   test_meta_inplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1843512Z   test_meta_inplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1843645Z   test_meta_inplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1843784Z   test_meta_inplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1843921Z   test_meta_inplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1844106Z   test_meta_inplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1844289Z   test_meta_inplace_all_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1844479Z   test_meta_inplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1844666Z   test_meta_inplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1844852Z   test_meta_inplace_all_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845030Z   test_meta_inplace_all_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845212Z   test_meta_inplace_all_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845392Z   test_meta_inplace_all_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845572Z   test_meta_inplace_all_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845748Z   test_meta_inplace_all_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1845927Z   test_meta_inplace_all_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1846098Z   test_meta_inplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1846309Z   test_meta_inplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1846500Z   test_meta_inplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1846690Z   test_meta_inplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1846872Z   test_meta_inplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847058Z   test_meta_inplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847259Z   test_meta_inplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847440Z   test_meta_inplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847616Z   test_meta_inplace_amax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847800Z   test_meta_inplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1847979Z   test_meta_inplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1848161Z   test_meta_inplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1848340Z   test_meta_inplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1848511Z   test_meta_inplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1848691Z   test_meta_inplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1848865Z   test_meta_inplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849043Z   test_meta_inplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849222Z   test_meta_inplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849395Z   test_meta_inplace_amin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849572Z   test_meta_inplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849749Z   test_meta_inplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1849929Z   test_meta_inplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850096Z   test_meta_inplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850272Z   test_meta_inplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850447Z   test_meta_inplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850619Z   test_meta_inplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850790Z   test_meta_inplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1850974Z   test_meta_inplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1851153Z   test_meta_inplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1851339Z   test_meta_inplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1851543Z   test_meta_inplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1851720Z   test_meta_inplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1851894Z   test_meta_inplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1852076Z   test_meta_inplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1852257Z   test_meta_inplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1852456Z   test_meta_inplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1852632Z   test_meta_inplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1852811Z   test_meta_inplace_angle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853000Z   test_meta_inplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853187Z   test_meta_inplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853366Z   test_meta_inplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853538Z   test_meta_inplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853721Z   test_meta_inplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1853902Z   test_meta_inplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854085Z   test_meta_inplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854265Z   test_meta_inplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854440Z   test_meta_inplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854618Z   test_meta_inplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854795Z   test_meta_inplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1854975Z   test_meta_inplace_any_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1855154Z   test_meta_inplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1855334Z   test_meta_inplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1855514Z   test_meta_inplace_any_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1855691Z   test_meta_inplace_any_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1855867Z   test_meta_inplace_any_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856045Z   test_meta_inplace_any_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856221Z   test_meta_inplace_any_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856398Z   test_meta_inplace_any_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856574Z   test_meta_inplace_any_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856770Z   test_meta_inplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1856952Z   test_meta_inplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1857134Z   test_meta_inplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1857314Z   test_meta_inplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1857489Z   test_meta_inplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1857691Z   test_meta_inplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1857873Z   test_meta_inplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1858056Z   test_meta_inplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1858236Z   test_meta_inplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1858416Z   test_meta_inplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1858593Z   test_meta_inplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1858777Z   test_meta_inplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859082Z   test_meta_inplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859262Z   test_meta_inplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859450Z   test_meta_inplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859628Z   test_meta_inplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859807Z   test_meta_inplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1859988Z   test_meta_inplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1860165Z   test_meta_inplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1860341Z   test_meta_inplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1860526Z   test_meta_inplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1860701Z   test_meta_inplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1860877Z   test_meta_inplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861052Z   test_meta_inplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861229Z   test_meta_inplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861406Z   test_meta_inplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861588Z   test_meta_inplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861765Z   test_meta_inplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1861950Z   test_meta_inplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1862177Z   test_meta_inplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1862359Z   test_meta_inplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1862540Z   test_meta_inplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1862723Z   test_meta_inplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1862906Z   test_meta_inplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1863118Z   test_meta_inplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1863296Z   test_meta_inplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1863475Z   test_meta_inplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1863665Z   test_meta_inplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1863841Z   test_meta_inplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864035Z   test_meta_inplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864227Z   test_meta_inplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864416Z   test_meta_inplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864597Z   test_meta_inplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864779Z   test_meta_inplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1864958Z   test_meta_inplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1865136Z   test_meta_inplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1865310Z   test_meta_inplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1865492Z   test_meta_inplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1865671Z   test_meta_inplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1865826Z   test_meta_inplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1865980Z   test_meta_inplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1866137Z   test_meta_inplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1866292Z   test_meta_inplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1866443Z   test_meta_inplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1866598Z   test_meta_inplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1866747Z   test_meta_inplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1866885Z   test_meta_inplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867036Z   test_meta_inplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867185Z   test_meta_inplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867363Z   test_meta_inplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867515Z   test_meta_inplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867662Z   test_meta_inplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1867863Z   test_meta_inplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1868060Z   test_meta_inplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1868261Z   test_meta_inplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1868477Z   test_meta_inplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1868681Z   test_meta_inplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1868877Z   test_meta_inplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1869066Z   test_meta_inplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1869265Z   test_meta_inplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1869459Z   test_meta_inplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1869654Z   test_meta_inplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1869842Z   test_meta_inplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1870038Z   test_meta_inplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1870227Z   test_meta_inplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1870445Z   test_meta_inplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1870625Z   test_meta_inplace_asin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1870775Z   test_meta_inplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1870920Z   test_meta_inplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1871072Z   test_meta_inplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1871216Z   test_meta_inplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1871359Z   test_meta_inplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1871502Z   test_meta_inplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1871672Z   test_meta_inplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1871848Z   test_meta_inplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1872022Z   test_meta_inplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1872196Z   test_meta_inplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1872371Z   test_meta_inplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1872518Z   test_meta_inplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1872687Z   test_meta_inplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1872864Z   test_meta_inplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873016Z   test_meta_inplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873159Z   test_meta_inplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873304Z   test_meta_inplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873449Z   test_meta_inplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873592Z   test_meta_inplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1873800Z   test_meta_inplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1873978Z   test_meta_inplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1874156Z   test_meta_inplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1874328Z   test_meta_inplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1874492Z   test_meta_inplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1874640Z   test_meta_inplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1874810Z   test_meta_inplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1874954Z   test_meta_inplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1875104Z   test_meta_inplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1875248Z   test_meta_inplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1875420Z   test_meta_inplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1875597Z   test_meta_inplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1875766Z   test_meta_inplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1875933Z   test_meta_inplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1876101Z   test_meta_inplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1876248Z   test_meta_inplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1876421Z   test_meta_inplace_atan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1876575Z   test_meta_inplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1876723Z   test_meta_inplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1876874Z   test_meta_inplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1877020Z   test_meta_inplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1877155Z   test_meta_inplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1877298Z   test_meta_inplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1877473Z   test_meta_inplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1877644Z   test_meta_inplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1877817Z   test_meta_inplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1877988Z   test_meta_inplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1878154Z   test_meta_inplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1878326Z   test_meta_inplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1878502Z   test_meta_inplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1878644Z   test_meta_inplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1878794Z   test_meta_inplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1878943Z   test_meta_inplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1879090Z   test_meta_inplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1879259Z   test_meta_inplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1879403Z   test_meta_inplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1879578Z   test_meta_inplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1879755Z   test_meta_inplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1879919Z   test_meta_inplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1880091Z   test_meta_inplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1880265Z   test_meta_inplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1880456Z   test_meta_inplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1880645Z   test_meta_inplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1880839Z   test_meta_inplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881033Z   test_meta_inplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881224Z   test_meta_inplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881409Z   test_meta_inplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881596Z   test_meta_inplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881776Z   test_meta_inplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1881966Z   test_meta_inplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1882151Z   test_meta_inplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1882332Z   test_meta_inplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1882516Z   test_meta_inplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1882694Z   test_meta_inplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1882881Z   test_meta_inplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1883065Z   test_meta_inplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1883260Z   test_meta_inplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1883442Z   test_meta_inplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1883656Z   test_meta_inplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1883845Z   test_meta_inplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884030Z   test_meta_inplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884214Z   test_meta_inplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884398Z   test_meta_inplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884598Z   test_meta_inplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884776Z   test_meta_inplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1884962Z   test_meta_inplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1885139Z   test_meta_inplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1885319Z   test_meta_inplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1885504Z   test_meta_inplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1885698Z   test_meta_inplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1885891Z   test_meta_inplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886080Z   test_meta_inplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886264Z   test_meta_inplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886451Z   test_meta_inplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886633Z   test_meta_inplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886818Z   test_meta_inplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1886998Z   test_meta_inplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1887179Z   test_meta_inplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1887364Z   test_meta_inplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1887544Z   test_meta_inplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1887696Z   test_meta_inplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1887851Z   test_meta_inplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1888004Z   test_meta_inplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.1888155Z   test_meta_inplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1888306Z   test_meta_inplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1888447Z   test_meta_inplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1888635Z   test_meta_inplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1888847Z   test_meta_inplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889031Z   test_meta_inplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889210Z   test_meta_inplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889388Z   test_meta_inplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889571Z   test_meta_inplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889787Z   test_meta_inplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1889973Z   test_meta_inplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1890163Z   test_meta_inplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1890338Z   test_meta_inplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1890517Z   test_meta_inplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1890694Z   test_meta_inplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1890874Z   test_meta_inplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891052Z   test_meta_inplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891227Z   test_meta_inplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891410Z   test_meta_inplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891594Z   test_meta_inplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891773Z   test_meta_inplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1891943Z   test_meta_inplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1892122Z   test_meta_inplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1892307Z   test_meta_inplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1892491Z   test_meta_inplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1892646Z   test_meta_inplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1892799Z   test_meta_inplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1892946Z   test_meta_inplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893092Z   test_meta_inplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893241Z   test_meta_inplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893383Z   test_meta_inplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893541Z   test_meta_inplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893700Z   test_meta_inplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1893856Z   test_meta_inplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1894037Z   test_meta_inplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1894195Z   test_meta_inplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1894345Z   test_meta_inplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1894494Z   test_meta_inplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1894631Z   test_meta_inplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1894772Z   test_meta_inplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1894943Z   test_meta_inplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1895094Z   test_meta_inplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1895247Z   test_meta_inplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1895399Z   test_meta_inplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1895545Z   test_meta_inplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1895689Z   test_meta_inplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1895827Z   test_meta_inplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1895970Z   test_meta_inplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896128Z   test_meta_inplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896287Z   test_meta_inplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896440Z   test_meta_inplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896593Z   test_meta_inplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896761Z   test_meta_inplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1896912Z   test_meta_inplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897061Z   test_meta_inplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897200Z   test_meta_inplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897343Z   test_meta_inplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897489Z   test_meta_inplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897640Z   test_meta_inplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.1897830Z   test_meta_inplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1898018Z   test_meta_inplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1898214Z   test_meta_inplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1898407Z   test_meta_inplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1898599Z   test_meta_inplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1898785Z   test_meta_inplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1899167Z   test_meta_inplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1899360Z   test_meta_inplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1899611Z   test_meta_inplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1899792Z   test_meta_inplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1899969Z   test_meta_inplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1900152Z   test_meta_inplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1900328Z   test_meta_inplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1900508Z   test_meta_inplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1900713Z   test_meta_inplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1900893Z   test_meta_inplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901077Z   test_meta_inplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901256Z   test_meta_inplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901435Z   test_meta_inplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901615Z   test_meta_inplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901795Z   test_meta_inplace_bool_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1901980Z   test_meta_inplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1902161Z   test_meta_inplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1902342Z   test_meta_inplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1902514Z   test_meta_inplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1902693Z   test_meta_inplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1902875Z   test_meta_inplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903054Z   test_meta_inplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903235Z   test_meta_inplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903411Z   test_meta_inplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903591Z   test_meta_inplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903765Z   test_meta_inplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1903960Z   test_meta_inplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1904148Z   test_meta_inplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1904341Z   test_meta_inplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1904546Z   test_meta_inplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1904746Z   test_meta_inplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1904972Z   test_meta_inplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1905169Z   test_meta_inplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1905357Z   test_meta_inplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1905548Z   test_meta_inplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1905740Z   test_meta_inplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1905948Z   test_meta_inplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1906135Z   test_meta_inplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1906317Z   test_meta_inplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1906506Z   test_meta_inplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1906695Z   test_meta_inplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1906892Z   test_meta_inplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1907087Z   test_meta_inplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1907276Z   test_meta_inplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1907468Z   test_meta_inplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1907656Z   test_meta_inplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1907842Z   test_meta_inplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908022Z   test_meta_inplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908207Z   test_meta_inplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908398Z   test_meta_inplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908585Z   test_meta_inplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908772Z   test_meta_inplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1908950Z   test_meta_inplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1909127Z   test_meta_inplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1909310Z   test_meta_inplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1909489Z   test_meta_inplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1909661Z   test_meta_inplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1909844Z   test_meta_inplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1910043Z   test_meta_inplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1910222Z   test_meta_inplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1910482Z   test_meta_inplace_byte_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1910667Z   test_meta_inplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1910852Z   test_meta_inplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911059Z   test_meta_inplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911240Z   test_meta_inplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911423Z   test_meta_inplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911594Z   test_meta_inplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911775Z   test_meta_inplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1911949Z   test_meta_inplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1912128Z   test_meta_inplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1912305Z   test_meta_inplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1912499Z   test_meta_inplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1912691Z   test_meta_inplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1912888Z   test_meta_inplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1913083Z   test_meta_inplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1913267Z   test_meta_inplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1913458Z   test_meta_inplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1913645Z   test_meta_inplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1913832Z   test_meta_inplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914023Z   test_meta_inplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914214Z   test_meta_inplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914405Z   test_meta_inplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914589Z   test_meta_inplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914772Z   test_meta_inplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1914954Z   test_meta_inplace_cat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1915130Z   test_meta_inplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1915336Z   test_meta_inplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1915520Z   test_meta_inplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1915700Z   test_meta_inplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1915879Z   test_meta_inplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916058Z   test_meta_inplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916263Z   test_meta_inplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916439Z   test_meta_inplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916611Z   test_meta_inplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916783Z   test_meta_inplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1916955Z   test_meta_inplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1917137Z   test_meta_inplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1917314Z   test_meta_inplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1917504Z   test_meta_inplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1917686Z   test_meta_inplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1917875Z   test_meta_inplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918064Z   test_meta_inplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918243Z   test_meta_inplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918419Z   test_meta_inplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918596Z   test_meta_inplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918771Z   test_meta_inplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1918952Z   test_meta_inplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1919133Z   test_meta_inplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1919316Z   test_meta_inplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1919500Z   test_meta_inplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1919678Z   test_meta_inplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1919825Z   test_meta_inplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1919971Z   test_meta_inplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920111Z   test_meta_inplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920251Z   test_meta_inplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920398Z   test_meta_inplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920540Z   test_meta_inplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920704Z   test_meta_inplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920845Z   test_meta_inplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1920981Z   test_meta_inplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1921167Z   test_meta_inplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1921340Z   test_meta_inplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1921551Z   test_meta_inplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1921736Z   test_meta_inplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1921917Z   test_meta_inplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922098Z   test_meta_inplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922274Z   test_meta_inplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922448Z   test_meta_inplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922627Z   test_meta_inplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922809Z   test_meta_inplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1922986Z   test_meta_inplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1923162Z   test_meta_inplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1923343Z   test_meta_inplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1923530Z   test_meta_inplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1923709Z   test_meta_inplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1923897Z   test_meta_inplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924082Z   test_meta_inplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924264Z   test_meta_inplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924442Z   test_meta_inplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924624Z   test_meta_inplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924796Z   test_meta_inplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1924973Z   test_meta_inplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1925155Z   test_meta_inplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1925330Z   test_meta_inplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1925513Z   test_meta_inplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1925688Z   test_meta_inplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1925891Z   test_meta_inplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926072Z   test_meta_inplace_char_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926256Z   test_meta_inplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926431Z   test_meta_inplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926612Z   test_meta_inplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926816Z   test_meta_inplace_char_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1926996Z   test_meta_inplace_char_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1927177Z   test_meta_inplace_char_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1927355Z   test_meta_inplace_char_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1927534Z   test_meta_inplace_char_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1927714Z   test_meta_inplace_char_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1927889Z   test_meta_inplace_char_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1928056Z   test_meta_inplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1928247Z   test_meta_inplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1928438Z   test_meta_inplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1928623Z   test_meta_inplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1928803Z   test_meta_inplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929000Z   test_meta_inplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929199Z   test_meta_inplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929395Z   test_meta_inplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929588Z   test_meta_inplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929785Z   test_meta_inplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1929969Z   test_meta_inplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1930157Z   test_meta_inplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1930347Z   test_meta_inplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1930530Z   test_meta_inplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1930709Z   test_meta_inplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1930894Z   test_meta_inplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1931107Z   test_meta_inplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1931287Z   test_meta_inplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1931465Z   test_meta_inplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1931637Z   test_meta_inplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1931818Z   test_meta_inplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932018Z   test_meta_inplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932197Z   test_meta_inplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932379Z   test_meta_inplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932556Z   test_meta_inplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932730Z   test_meta_inplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1932879Z   test_meta_inplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933030Z   test_meta_inplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933167Z   test_meta_inplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933314Z   test_meta_inplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933459Z   test_meta_inplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933603Z   test_meta_inplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933745Z   test_meta_inplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1933888Z   test_meta_inplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1934027Z   test_meta_inplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1934181Z   test_meta_inplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1934319Z   test_meta_inplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1934472Z   test_meta_inplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1934621Z   test_meta_inplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1934763Z   test_meta_inplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1934912Z   test_meta_inplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935065Z   test_meta_inplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935212Z   test_meta_inplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935358Z   test_meta_inplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935504Z   test_meta_inplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935650Z   test_meta_inplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1935796Z   test_meta_inplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1935946Z   test_meta_inplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936098Z   test_meta_inplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936242Z   test_meta_inplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936392Z   test_meta_inplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936572Z   test_meta_inplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936719Z   test_meta_inplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1936859Z   test_meta_inplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1937002Z   test_meta_inplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1937187Z   test_meta_inplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1937368Z   test_meta_inplace_clone_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1937578Z   test_meta_inplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1937760Z   test_meta_inplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1937944Z   test_meta_inplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1938128Z   test_meta_inplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1938307Z   test_meta_inplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1938480Z   test_meta_inplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1938664Z   test_meta_inplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1938958Z   test_meta_inplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1939139Z   test_meta_inplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1939321Z   test_meta_inplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1939498Z   test_meta_inplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1939689Z   test_meta_inplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1939875Z   test_meta_inplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1940066Z   test_meta_inplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1940254Z   test_meta_inplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1940444Z   test_meta_inplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1940633Z   test_meta_inplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1940819Z   test_meta_inplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941005Z   test_meta_inplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941190Z   test_meta_inplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941375Z   test_meta_inplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941560Z   test_meta_inplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941743Z   test_meta_inplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1941967Z   test_meta_inplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1942154Z   test_meta_inplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1942341Z   test_meta_inplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1942534Z   test_meta_inplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1942727Z   test_meta_inplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1942948Z   test_meta_inplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1943137Z   test_meta_inplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1943327Z   test_meta_inplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1943516Z   test_meta_inplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1943703Z   test_meta_inplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1943886Z   test_meta_inplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944068Z   test_meta_inplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944253Z   test_meta_inplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944440Z   test_meta_inplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944621Z   test_meta_inplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944800Z   test_meta_inplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1944982Z   test_meta_inplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1945163Z   test_meta_inplace_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1945351Z   test_meta_inplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1945534Z   test_meta_inplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1945710Z   test_meta_inplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1945892Z   test_meta_inplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946073Z   test_meta_inplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946255Z   test_meta_inplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946437Z   test_meta_inplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946615Z   test_meta_inplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946799Z   test_meta_inplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1946977Z   test_meta_inplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1947181Z   test_meta_inplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1947333Z   test_meta_inplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1947488Z   test_meta_inplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1947650Z   test_meta_inplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1947808Z   test_meta_inplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1947967Z   test_meta_inplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1948147Z   test_meta_inplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1948302Z   test_meta_inplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1948462Z   test_meta_inplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1948617Z   test_meta_inplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1948760Z   test_meta_inplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1948906Z   test_meta_inplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1949062Z   test_meta_inplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1949209Z   test_meta_inplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.1949406Z   test_meta_inplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1949602Z   test_meta_inplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1949801Z   test_meta_inplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1949996Z   test_meta_inplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1950188Z   test_meta_inplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1950452Z   test_meta_inplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1950664Z   test_meta_inplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1950858Z   test_meta_inplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951046Z   test_meta_inplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951232Z   test_meta_inplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951421Z   test_meta_inplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951605Z   test_meta_inplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951795Z   test_meta_inplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1951983Z   test_meta_inplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1952180Z   test_meta_inplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1952363Z   test_meta_inplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1952574Z   test_meta_inplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1952763Z   test_meta_inplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1952972Z   test_meta_inplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1953214Z   test_meta_inplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1953455Z   test_meta_inplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1953728Z   test_meta_inplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1953908Z   test_meta_inplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1954117Z   test_meta_inplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1954352Z   test_meta_inplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1954508Z   test_meta_inplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1954688Z   test_meta_inplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1954840Z   test_meta_inplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1954992Z   test_meta_inplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1955139Z   test_meta_inplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1955319Z   test_meta_inplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1955502Z   test_meta_inplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1955676Z   test_meta_inplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1955846Z   test_meta_inplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1956019Z   test_meta_inplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1956207Z   test_meta_inplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1956399Z   test_meta_inplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1956587Z   test_meta_inplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1956775Z   test_meta_inplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1956956Z   test_meta_inplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1957132Z   test_meta_inplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1957314Z   test_meta_inplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1957484Z   test_meta_inplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1957664Z   test_meta_inplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1957846Z   test_meta_inplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1958113Z   test_meta_inplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1958260Z   test_meta_inplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1958433Z   test_meta_inplace_cos_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1958583Z   test_meta_inplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1958729Z   test_meta_inplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1958875Z   test_meta_inplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1959038Z   test_meta_inplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1959178Z   test_meta_inplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1959317Z   test_meta_inplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1959493Z   test_meta_inplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1959667Z   test_meta_inplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1959839Z   test_meta_inplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1960011Z   test_meta_inplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1960177Z   test_meta_inplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1960325Z   test_meta_inplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1960488Z   test_meta_inplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1960639Z   test_meta_inplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1960788Z   test_meta_inplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1960939Z   test_meta_inplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1961081Z   test_meta_inplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1961223Z   test_meta_inplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1961364Z   test_meta_inplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1961537Z   test_meta_inplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1961707Z   test_meta_inplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1961881Z   test_meta_inplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1962053Z   test_meta_inplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1962224Z   test_meta_inplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1962418Z   test_meta_inplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1962609Z   test_meta_inplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1962801Z   test_meta_inplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1962993Z   test_meta_inplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1963183Z   test_meta_inplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1963363Z   test_meta_inplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1963576Z   test_meta_inplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1963764Z   test_meta_inplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1963949Z   test_meta_inplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1964133Z   test_meta_inplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1964323Z   test_meta_inplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1964525Z   test_meta_inplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1964704Z   test_meta_inplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1964888Z   test_meta_inplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965069Z   test_meta_inplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965240Z   test_meta_inplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965419Z   test_meta_inplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965595Z   test_meta_inplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965772Z   test_meta_inplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1965948Z   test_meta_inplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1966122Z   test_meta_inplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1966298Z   test_meta_inplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1966469Z   test_meta_inplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1966654Z   test_meta_inplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1966831Z   test_meta_inplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967012Z   test_meta_inplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967191Z   test_meta_inplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967373Z   test_meta_inplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967549Z   test_meta_inplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967726Z   test_meta_inplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1967902Z   test_meta_inplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968081Z   test_meta_inplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968257Z   test_meta_inplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968432Z   test_meta_inplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968630Z   test_meta_inplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968814Z   test_meta_inplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1968990Z   test_meta_inplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1969166Z   test_meta_inplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1969342Z   test_meta_inplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1969522Z   test_meta_inplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1969724Z   test_meta_inplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1969898Z   test_meta_inplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970075Z   test_meta_inplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970253Z   test_meta_inplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970431Z   test_meta_inplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970612Z   test_meta_inplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970787Z   test_meta_inplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1970962Z   test_meta_inplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971139Z   test_meta_inplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971323Z   test_meta_inplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971494Z   test_meta_inplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971669Z   test_meta_inplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971837Z   test_meta_inplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1971989Z   test_meta_inplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972148Z   test_meta_inplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972301Z   test_meta_inplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972448Z   test_meta_inplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972600Z   test_meta_inplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972747Z   test_meta_inplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1972895Z   test_meta_inplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1973031Z   test_meta_inplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1973177Z   test_meta_inplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1973321Z   test_meta_inplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1973467Z   test_meta_inplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1973630Z   test_meta_inplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1973794Z   test_meta_inplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1973997Z   test_meta_inplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974159Z   test_meta_inplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974318Z   test_meta_inplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974465Z   test_meta_inplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974620Z   test_meta_inplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974777Z   test_meta_inplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1974954Z   test_meta_inplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1975110Z   test_meta_inplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1975262Z   test_meta_inplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipped (0.001s)
2022-11-23T01:45:56.1975469Z   test_meta_inplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1975679Z   test_meta_inplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1975880Z   test_meta_inplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1976071Z   test_meta_inplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1976273Z   test_meta_inplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1976471Z   test_meta_inplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1976667Z   test_meta_inplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1976862Z   test_meta_inplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1977055Z   test_meta_inplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1977252Z   test_meta_inplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1977443Z   test_meta_inplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1977595Z   test_meta_inplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1977770Z   test_meta_inplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1977921Z   test_meta_inplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1978070Z   test_meta_inplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1978217Z   test_meta_inplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.1978395Z   test_meta_inplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1978573Z   test_meta_inplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1978744Z   test_meta_inplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.1979051Z   test_meta_inplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1979222Z   test_meta_inplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1979448Z   test_meta_inplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1979632Z   test_meta_inplace_diag_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1979819Z   test_meta_inplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980002Z   test_meta_inplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980181Z   test_meta_inplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980391Z   test_meta_inplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980571Z   test_meta_inplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980756Z   test_meta_inplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1980937Z   test_meta_inplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1981108Z   test_meta_inplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1981286Z   test_meta_inplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1981462Z   test_meta_inplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1981635Z   test_meta_inplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1981828Z   test_meta_inplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982014Z   test_meta_inplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982210Z   test_meta_inplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982404Z   test_meta_inplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982594Z   test_meta_inplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982779Z   test_meta_inplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1982958Z   test_meta_inplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1983146Z   test_meta_inplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1983333Z   test_meta_inplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1983511Z   test_meta_inplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1983686Z   test_meta_inplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1983868Z   test_meta_inplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984045Z   test_meta_inplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984230Z   test_meta_inplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984416Z   test_meta_inplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984605Z   test_meta_inplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984810Z   test_meta_inplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1984998Z   test_meta_inplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1985176Z   test_meta_inplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1985352Z   test_meta_inplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1985534Z   test_meta_inplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1985731Z   test_meta_inplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1985908Z   test_meta_inplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1986088Z   test_meta_inplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1986274Z   test_meta_inplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1986458Z   test_meta_inplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1986643Z   test_meta_inplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1986839Z   test_meta_inplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987042Z   test_meta_inplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987235Z   test_meta_inplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987425Z   test_meta_inplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987614Z   test_meta_inplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987802Z   test_meta_inplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1987990Z   test_meta_inplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1988179Z   test_meta_inplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1988359Z   test_meta_inplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1988551Z   test_meta_inplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1988737Z   test_meta_inplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1988922Z   test_meta_inplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1989101Z   test_meta_inplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1989284Z   test_meta_inplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1989471Z   test_meta_inplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1989656Z   test_meta_inplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1989866Z   test_meta_inplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1990039Z   test_meta_inplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1990215Z   test_meta_inplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1990492Z   test_meta_inplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1990682Z   test_meta_inplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1990889Z   test_meta_inplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1991073Z   test_meta_inplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1991261Z   test_meta_inplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1991459Z   test_meta_inplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1991655Z   test_meta_inplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1991851Z   test_meta_inplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992038Z   test_meta_inplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992230Z   test_meta_inplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992424Z   test_meta_inplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992617Z   test_meta_inplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992806Z   test_meta_inplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1992995Z   test_meta_inplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1993190Z   test_meta_inplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1993374Z   test_meta_inplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1993557Z   test_meta_inplace_diff_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1993743Z   test_meta_inplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1993922Z   test_meta_inplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1994106Z   test_meta_inplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1994289Z   test_meta_inplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1994469Z   test_meta_inplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1994649Z   test_meta_inplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1994828Z   test_meta_inplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1995008Z   test_meta_inplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1995211Z   test_meta_inplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1995384Z   test_meta_inplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1995559Z   test_meta_inplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1995711Z   test_meta_inplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1995860Z   test_meta_inplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1996010Z   test_meta_inplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.1996210Z   test_meta_inplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1996389Z   test_meta_inplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1996564Z   test_meta_inplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1996740Z   test_meta_inplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1996911Z   test_meta_inplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.1997087Z   test_meta_inplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1997276Z   test_meta_inplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1997466Z   test_meta_inplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1997648Z   test_meta_inplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1997830Z   test_meta_inplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1998010Z   test_meta_inplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.1998173Z   test_meta_inplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1998334Z   test_meta_inplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1998494Z   test_meta_inplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1998642Z   test_meta_inplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.1998803Z   test_meta_inplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1998961Z   test_meta_inplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1999117Z   test_meta_inplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1999276Z   test_meta_inplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.1999428Z   test_meta_inplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.1999593Z   test_meta_inplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.1999786Z   test_meta_inplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.1999947Z   test_meta_inplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000116Z   test_meta_inplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000284Z   test_meta_inplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000449Z   test_meta_inplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000637Z   test_meta_inplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000795Z   test_meta_inplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2000987Z   test_meta_inplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2001179Z   test_meta_inplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2001371Z   test_meta_inplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2001577Z   test_meta_inplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2001765Z   test_meta_inplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2001932Z   test_meta_inplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002094Z   test_meta_inplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002257Z   test_meta_inplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002413Z   test_meta_inplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002569Z   test_meta_inplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002726Z   test_meta_inplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2002885Z   test_meta_inplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2003035Z   test_meta_inplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2003190Z   test_meta_inplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2003377Z   test_meta_inplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2003564Z   test_meta_inplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2003748Z   test_meta_inplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2003935Z   test_meta_inplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2004119Z   test_meta_inplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2004304Z   test_meta_inplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2004492Z   test_meta_inplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2004670Z   test_meta_inplace_double_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2004859Z   test_meta_inplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005046Z   test_meta_inplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005228Z   test_meta_inplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005411Z   test_meta_inplace_double_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005590Z   test_meta_inplace_double_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005766Z   test_meta_inplace_double_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2005972Z   test_meta_inplace_double_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2006158Z   test_meta_inplace_double_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2006338Z   test_meta_inplace_double_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2006510Z   test_meta_inplace_double_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2006688Z   test_meta_inplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2006897Z   test_meta_inplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2007078Z   test_meta_inplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2007270Z   test_meta_inplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2007457Z   test_meta_inplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2007639Z   test_meta_inplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2007823Z   test_meta_inplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2008002Z   test_meta_inplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2008172Z   test_meta_inplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2008354Z   test_meta_inplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2015397Z   test_meta_inplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2015634Z   test_meta_inplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2015820Z   test_meta_inplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016001Z   test_meta_inplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016182Z   test_meta_inplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016368Z   test_meta_inplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016558Z   test_meta_inplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016749Z   test_meta_inplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2016928Z   test_meta_inplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2017112Z   test_meta_inplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2017293Z   test_meta_inplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2017468Z   test_meta_inplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2017650Z   test_meta_inplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2017826Z   test_meta_inplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2018003Z   test_meta_inplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2018237Z   test_meta_inplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2018417Z   test_meta_inplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2018603Z   test_meta_inplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2019003Z   test_meta_inplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2019264Z   test_meta_inplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2019517Z   test_meta_inplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2019697Z   test_meta_inplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2019876Z   test_meta_inplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020047Z   test_meta_inplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020232Z   test_meta_inplace_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020426Z   test_meta_inplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020609Z   test_meta_inplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020795Z   test_meta_inplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2020977Z   test_meta_inplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2021165Z   test_meta_inplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2021350Z   test_meta_inplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2021531Z   test_meta_inplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2021704Z   test_meta_inplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2021884Z   test_meta_inplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2022068Z   test_meta_inplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2022249Z   test_meta_inplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2022439Z   test_meta_inplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2022625Z   test_meta_inplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2022817Z   test_meta_inplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023007Z   test_meta_inplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023198Z   test_meta_inplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023380Z   test_meta_inplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023568Z   test_meta_inplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023793Z   test_meta_inplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2023982Z   test_meta_inplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2024161Z   test_meta_inplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2024340Z   test_meta_inplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2024525Z   test_meta_inplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2024726Z   test_meta_inplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2024874Z   test_meta_inplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2025019Z   test_meta_inplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2025160Z   test_meta_inplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2025307Z   test_meta_inplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2025453Z   test_meta_inplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2025595Z   test_meta_inplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2025737Z   test_meta_inplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2025875Z   test_meta_inplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026020Z   test_meta_inplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026161Z   test_meta_inplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026293Z   test_meta_inplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026434Z   test_meta_inplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026572Z   test_meta_inplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2026759Z   test_meta_inplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2026941Z   test_meta_inplace_equal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2027128Z   test_meta_inplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2027314Z   test_meta_inplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2027503Z   test_meta_inplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2027678Z   test_meta_inplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2027863Z   test_meta_inplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028042Z   test_meta_inplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028223Z   test_meta_inplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028403Z   test_meta_inplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028585Z   test_meta_inplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028766Z   test_meta_inplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2028913Z   test_meta_inplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2029115Z   test_meta_inplace_erf_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2029255Z   test_meta_inplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2029401Z   test_meta_inplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2029543Z   test_meta_inplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2029719Z   test_meta_inplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2029894Z   test_meta_inplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2030093Z   test_meta_inplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2030341Z   test_meta_inplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2030526Z   test_meta_inplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2030699Z   test_meta_inplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2030861Z   test_meta_inplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2031010Z   test_meta_inplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2031152Z   test_meta_inplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2031292Z   test_meta_inplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2031470Z   test_meta_inplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2031649Z   test_meta_inplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2031824Z   test_meta_inplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2031996Z   test_meta_inplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2032167Z   test_meta_inplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2032336Z   test_meta_inplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2032484Z   test_meta_inplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2032631Z   test_meta_inplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2032778Z   test_meta_inplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2032957Z   test_meta_inplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2033132Z   test_meta_inplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2033303Z   test_meta_inplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2033473Z   test_meta_inplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2033642Z   test_meta_inplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2033794Z   test_meta_inplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2033962Z   test_meta_inplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2034106Z   test_meta_inplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2034250Z   test_meta_inplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2034390Z   test_meta_inplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2034562Z   test_meta_inplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2034762Z   test_meta_inplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2034933Z   test_meta_inplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2035095Z   test_meta_inplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2035265Z   test_meta_inplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2035411Z   test_meta_inplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2035610Z   test_meta_inplace_exp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2035760Z   test_meta_inplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2035908Z   test_meta_inplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2036058Z   test_meta_inplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2036201Z   test_meta_inplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2036337Z   test_meta_inplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2036476Z   test_meta_inplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2036650Z   test_meta_inplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2036822Z   test_meta_inplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2036992Z   test_meta_inplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2037163Z   test_meta_inplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2037333Z   test_meta_inplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2037524Z   test_meta_inplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2037710Z   test_meta_inplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2037893Z   test_meta_inplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2038085Z   test_meta_inplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2038276Z   test_meta_inplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2038457Z   test_meta_inplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2038637Z   test_meta_inplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2038820Z   test_meta_inplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039000Z   test_meta_inplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039176Z   test_meta_inplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039358Z   test_meta_inplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039534Z   test_meta_inplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039703Z   test_meta_inplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2039909Z   test_meta_inplace_expand_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2040101Z   test_meta_inplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2040288Z   test_meta_inplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2040472Z   test_meta_inplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2040654Z   test_meta_inplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2040859Z   test_meta_inplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041042Z   test_meta_inplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041226Z   test_meta_inplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041401Z   test_meta_inplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041581Z   test_meta_inplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041757Z   test_meta_inplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2041905Z   test_meta_inplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2042081Z   test_meta_inplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2042232Z   test_meta_inplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2042378Z   test_meta_inplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2042521Z   test_meta_inplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2042701Z   test_meta_inplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2042867Z   test_meta_inplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2043042Z   test_meta_inplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2043217Z   test_meta_inplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2043389Z   test_meta_inplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2043577Z   test_meta_inplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2043758Z   test_meta_inplace_eye_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2043949Z   test_meta_inplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2044131Z   test_meta_inplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2044309Z   test_meta_inplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2044482Z   test_meta_inplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2044661Z   test_meta_inplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2044844Z   test_meta_inplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045019Z   test_meta_inplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045219Z   test_meta_inplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045396Z   test_meta_inplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045569Z   test_meta_inplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045751Z   test_meta_inplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2045941Z   test_meta_inplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2046121Z   test_meta_inplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2046338Z   test_meta_inplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2046524Z   test_meta_inplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2046707Z   test_meta_inplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2046887Z   test_meta_inplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047069Z   test_meta_inplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047246Z   test_meta_inplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047421Z   test_meta_inplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047602Z   test_meta_inplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047783Z   test_meta_inplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2047958Z   test_meta_inplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2048144Z   test_meta_inplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2048329Z   test_meta_inplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2048506Z   test_meta_inplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2048687Z   test_meta_inplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2048864Z   test_meta_inplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049039Z   test_meta_inplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049220Z   test_meta_inplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049401Z   test_meta_inplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049574Z   test_meta_inplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049755Z   test_meta_inplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2049933Z   test_meta_inplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2050113Z   test_meta_inplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2050300Z   test_meta_inplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2050508Z   test_meta_inplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2050695Z   test_meta_inplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2050879Z   test_meta_inplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051059Z   test_meta_inplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051239Z   test_meta_inplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051445Z   test_meta_inplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051622Z   test_meta_inplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051797Z   test_meta_inplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2051976Z   test_meta_inplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2052155Z   test_meta_inplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2052344Z   test_meta_inplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2052530Z   test_meta_inplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2052726Z   test_meta_inplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2052917Z   test_meta_inplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2053104Z   test_meta_inplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2053293Z   test_meta_inplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2053481Z   test_meta_inplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2053669Z   test_meta_inplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2053853Z   test_meta_inplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054039Z   test_meta_inplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054220Z   test_meta_inplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054406Z   test_meta_inplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054590Z   test_meta_inplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054772Z   test_meta_inplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2054951Z   test_meta_inplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2055137Z   test_meta_inplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2055326Z   test_meta_inplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2055509Z   test_meta_inplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2055711Z   test_meta_inplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2055889Z   test_meta_inplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056071Z   test_meta_inplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056250Z   test_meta_inplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056428Z   test_meta_inplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056631Z   test_meta_inplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056799Z   test_meta_inplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2056984Z   test_meta_inplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2057169Z   test_meta_inplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2057355Z   test_meta_inplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2057538Z   test_meta_inplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2057720Z   test_meta_inplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2057899Z   test_meta_inplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2058073Z   test_meta_inplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2058259Z   test_meta_inplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2058428Z   test_meta_inplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2058605Z   test_meta_inplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2058901Z   test_meta_inplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2059086Z   test_meta_inplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2059265Z   test_meta_inplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2059453Z   test_meta_inplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2059643Z   test_meta_inplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2059827Z   test_meta_inplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060010Z   test_meta_inplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060187Z   test_meta_inplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060356Z   test_meta_inplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060538Z   test_meta_inplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060715Z   test_meta_inplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2060929Z   test_meta_inplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2061111Z   test_meta_inplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2061287Z   test_meta_inplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2061464Z   test_meta_inplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2061653Z   test_meta_inplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2061867Z   test_meta_inplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062043Z   test_meta_inplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062227Z   test_meta_inplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062405Z   test_meta_inplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062578Z   test_meta_inplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062759Z   test_meta_inplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2062935Z   test_meta_inplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2063114Z   test_meta_inplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2063292Z   test_meta_inplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2063469Z   test_meta_inplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2063648Z   test_meta_inplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2063824Z   test_meta_inplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064009Z   test_meta_inplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064194Z   test_meta_inplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064380Z   test_meta_inplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064559Z   test_meta_inplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064737Z   test_meta_inplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2064915Z   test_meta_inplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2065091Z   test_meta_inplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2065263Z   test_meta_inplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2065433Z   test_meta_inplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2065615Z   test_meta_inplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2065791Z   test_meta_inplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066003Z   test_meta_inplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066190Z   test_meta_inplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066372Z   test_meta_inplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066549Z   test_meta_inplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066725Z   test_meta_inplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2066921Z   test_meta_inplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067099Z   test_meta_inplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067269Z   test_meta_inplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067446Z   test_meta_inplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067624Z   test_meta_inplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067798Z   test_meta_inplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2067990Z   test_meta_inplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2068177Z   test_meta_inplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2068372Z   test_meta_inplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2068571Z   test_meta_inplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2068764Z   test_meta_inplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2068945Z   test_meta_inplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2069132Z   test_meta_inplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2069322Z   test_meta_inplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2069508Z   test_meta_inplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2069699Z   test_meta_inplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2069882Z   test_meta_inplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2070068Z   test_meta_inplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2070307Z   test_meta_inplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2070505Z   test_meta_inplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2070694Z   test_meta_inplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2070868Z   test_meta_inplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071080Z   test_meta_inplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071264Z   test_meta_inplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071442Z   test_meta_inplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071616Z   test_meta_inplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071795Z   test_meta_inplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2071991Z   test_meta_inplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2072172Z   test_meta_inplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2072356Z   test_meta_inplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2072532Z   test_meta_inplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2072700Z   test_meta_inplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2072878Z   test_meta_inplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073052Z   test_meta_inplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073228Z   test_meta_inplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073405Z   test_meta_inplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073581Z   test_meta_inplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073757Z   test_meta_inplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2073940Z   test_meta_inplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2074123Z   test_meta_inplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2074295Z   test_meta_inplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2074481Z   test_meta_inplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2074658Z   test_meta_inplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2074837Z   test_meta_inplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075019Z   test_meta_inplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075195Z   test_meta_inplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075374Z   test_meta_inplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075564Z   test_meta_inplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075757Z   test_meta_inplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2075945Z   test_meta_inplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2076140Z   test_meta_inplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2076327Z   test_meta_inplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2076507Z   test_meta_inplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2076690Z   test_meta_inplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2076868Z   test_meta_inplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077063Z   test_meta_inplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077244Z   test_meta_inplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077423Z   test_meta_inplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077603Z   test_meta_inplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077782Z   test_meta_inplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2077968Z   test_meta_inplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2078154Z   test_meta_inplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2078336Z   test_meta_inplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2078514Z   test_meta_inplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2078692Z   test_meta_inplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2078869Z   test_meta_inplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079044Z   test_meta_inplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079216Z   test_meta_inplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079393Z   test_meta_inplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079561Z   test_meta_inplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079734Z   test_meta_inplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2079923Z   test_meta_inplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2080112Z   test_meta_inplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2080298Z   test_meta_inplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2080479Z   test_meta_inplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2080660Z   test_meta_inplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2080846Z   test_meta_inplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081026Z   test_meta_inplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081217Z   test_meta_inplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081393Z   test_meta_inplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081575Z   test_meta_inplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081752Z   test_meta_inplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2081931Z   test_meta_inplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2082136Z   test_meta_inplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2082313Z   test_meta_inplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2082493Z   test_meta_inplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2082672Z   test_meta_inplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2082846Z   test_meta_inplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083012Z   test_meta_inplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083189Z   test_meta_inplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083363Z   test_meta_inplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083545Z   test_meta_inplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083729Z   test_meta_inplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2083909Z   test_meta_inplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084086Z   test_meta_inplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084265Z   test_meta_inplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084441Z   test_meta_inplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084611Z   test_meta_inplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084789Z   test_meta_inplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2084972Z   test_meta_inplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2085148Z   test_meta_inplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2085331Z   test_meta_inplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2085510Z   test_meta_inplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2085685Z   test_meta_inplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2085865Z   test_meta_inplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2086040Z   test_meta_inplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2086240Z   test_meta_inplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2086410Z   test_meta_inplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2086583Z   test_meta_inplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2086728Z   test_meta_inplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2086872Z   test_meta_inplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087024Z   test_meta_inplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087213Z   test_meta_inplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087362Z   test_meta_inplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087506Z   test_meta_inplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087642Z   test_meta_inplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087782Z   test_meta_inplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2087921Z   test_meta_inplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2088060Z   test_meta_inplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2088198Z   test_meta_inplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2088338Z   test_meta_inplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2088472Z   test_meta_inplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2088659Z   test_meta_inplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2088834Z   test_meta_inplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089025Z   test_meta_inplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089213Z   test_meta_inplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089393Z   test_meta_inplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089566Z   test_meta_inplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089741Z   test_meta_inplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2089917Z   test_meta_inplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2090101Z   test_meta_inplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2090282Z   test_meta_inplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2090467Z   test_meta_inplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2090650Z   test_meta_inplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2090827Z   test_meta_inplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091007Z   test_meta_inplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091189Z   test_meta_inplace_flip_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091361Z   test_meta_inplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091567Z   test_meta_inplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091747Z   test_meta_inplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2091928Z   test_meta_inplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2092108Z   test_meta_inplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2092290Z   test_meta_inplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2092492Z   test_meta_inplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2092670Z   test_meta_inplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2092846Z   test_meta_inplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093012Z   test_meta_inplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093197Z   test_meta_inplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093379Z   test_meta_inplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093568Z   test_meta_inplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093752Z   test_meta_inplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2093934Z   test_meta_inplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094108Z   test_meta_inplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094284Z   test_meta_inplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094460Z   test_meta_inplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094633Z   test_meta_inplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094812Z   test_meta_inplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2094990Z   test_meta_inplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2095169Z   test_meta_inplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2095356Z   test_meta_inplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2095542Z   test_meta_inplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2095727Z   test_meta_inplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2095911Z   test_meta_inplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2096094Z   test_meta_inplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2096272Z   test_meta_inplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2096441Z   test_meta_inplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2096621Z   test_meta_inplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2096825Z   test_meta_inplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097001Z   test_meta_inplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097179Z   test_meta_inplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097355Z   test_meta_inplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097540Z   test_meta_inplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097745Z   test_meta_inplace_float_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2097930Z   test_meta_inplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2098108Z   test_meta_inplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2098286Z   test_meta_inplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2098466Z   test_meta_inplace_float_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2098645Z   test_meta_inplace_float_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2098975Z   test_meta_inplace_float_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2099237Z   test_meta_inplace_float_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2099421Z   test_meta_inplace_float_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2099601Z   test_meta_inplace_float_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2099781Z   test_meta_inplace_float_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2099951Z   test_meta_inplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2100140Z   test_meta_inplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2100324Z   test_meta_inplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2100488Z   test_meta_inplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2100674Z   test_meta_inplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2100854Z   test_meta_inplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2101057Z   test_meta_inplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2101250Z   test_meta_inplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2101436Z   test_meta_inplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2101613Z   test_meta_inplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2101783Z   test_meta_inplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2101967Z   test_meta_inplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2102142Z   test_meta_inplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.003s)
2022-11-23T01:45:56.2102354Z   test_meta_inplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2102502Z   test_meta_inplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2102651Z   test_meta_inplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2102797Z   test_meta_inplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2102941Z   test_meta_inplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2103078Z   test_meta_inplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2103217Z   test_meta_inplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2103489Z   test_meta_inplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2103629Z   test_meta_inplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2103789Z   test_meta_inplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2103946Z   test_meta_inplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2104093Z   test_meta_inplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2104238Z   test_meta_inplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2104382Z   test_meta_inplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2104527Z   test_meta_inplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2104670Z   test_meta_inplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2104821Z   test_meta_inplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2104964Z   test_meta_inplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2105149Z   test_meta_inplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2105329Z   test_meta_inplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2105511Z   test_meta_inplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2105690Z   test_meta_inplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2105863Z   test_meta_inplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106040Z   test_meta_inplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106220Z   test_meta_inplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106395Z   test_meta_inplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106572Z   test_meta_inplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106746Z   test_meta_inplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2106924Z   test_meta_inplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107097Z   test_meta_inplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107275Z   test_meta_inplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107445Z   test_meta_inplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107621Z   test_meta_inplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107821Z   test_meta_inplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2107998Z   test_meta_inplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2108172Z   test_meta_inplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2108344Z   test_meta_inplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2108515Z   test_meta_inplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2108685Z   test_meta_inplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2108831Z   test_meta_inplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2108969Z   test_meta_inplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109113Z   test_meta_inplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109253Z   test_meta_inplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109394Z   test_meta_inplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109532Z   test_meta_inplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109671Z   test_meta_inplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109808Z   test_meta_inplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2109953Z   test_meta_inplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2110092Z   test_meta_inplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2110235Z   test_meta_inplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2110454Z   test_meta_inplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2110640Z   test_meta_inplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2110826Z   test_meta_inplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111004Z   test_meta_inplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111191Z   test_meta_inplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111368Z   test_meta_inplace_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111554Z   test_meta_inplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111730Z   test_meta_inplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2111909Z   test_meta_inplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112090Z   test_meta_inplace_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112270Z   test_meta_inplace_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112447Z   test_meta_inplace_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112626Z   test_meta_inplace_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112804Z   test_meta_inplace_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2112980Z   test_meta_inplace_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2113207Z   test_meta_inplace_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2113404Z   test_meta_inplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2113585Z   test_meta_inplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2113764Z   test_meta_inplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2113952Z   test_meta_inplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2114163Z   test_meta_inplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2114345Z   test_meta_inplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2114522Z   test_meta_inplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2114697Z   test_meta_inplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2114877Z   test_meta_inplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115053Z   test_meta_inplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115219Z   test_meta_inplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115400Z   test_meta_inplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115574Z   test_meta_inplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115757Z   test_meta_inplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2115935Z   test_meta_inplace_gather_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2116126Z   test_meta_inplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2116312Z   test_meta_inplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2116495Z   test_meta_inplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2116676Z   test_meta_inplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2116850Z   test_meta_inplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117026Z   test_meta_inplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117209Z   test_meta_inplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117389Z   test_meta_inplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117565Z   test_meta_inplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117740Z   test_meta_inplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2117881Z   test_meta_inplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2118023Z   test_meta_inplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2118159Z   test_meta_inplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2118291Z   test_meta_inplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2118456Z   test_meta_inplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2118602Z   test_meta_inplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2118742Z   test_meta_inplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2118883Z   test_meta_inplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119024Z   test_meta_inplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119160Z   test_meta_inplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119318Z   test_meta_inplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119450Z   test_meta_inplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119589Z   test_meta_inplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119729Z   test_meta_inplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2119866Z   test_meta_inplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2120057Z   test_meta_inplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2120243Z   test_meta_inplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2120424Z   test_meta_inplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2120606Z   test_meta_inplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2120796Z   test_meta_inplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2120978Z   test_meta_inplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2121170Z   test_meta_inplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2121355Z   test_meta_inplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2121532Z   test_meta_inplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2121710Z   test_meta_inplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2121893Z   test_meta_inplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122076Z   test_meta_inplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122253Z   test_meta_inplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122433Z   test_meta_inplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122626Z   test_meta_inplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122811Z   test_meta_inplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2122995Z   test_meta_inplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2123140Z   test_meta_inplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2123282Z   test_meta_inplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2123424Z   test_meta_inplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2123564Z   test_meta_inplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2123727Z   test_meta_inplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2123868Z   test_meta_inplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2123997Z   test_meta_inplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2124136Z   test_meta_inplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2124274Z   test_meta_inplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2124410Z   test_meta_inplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2124591Z   test_meta_inplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2124810Z   test_meta_inplace_half_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2124997Z   test_meta_inplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2125182Z   test_meta_inplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2125362Z   test_meta_inplace_half_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2125534Z   test_meta_inplace_half_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2125714Z   test_meta_inplace_half_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2125891Z   test_meta_inplace_half_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2126071Z   test_meta_inplace_half_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2126246Z   test_meta_inplace_half_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2126425Z   test_meta_inplace_half_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2126598Z   test_meta_inplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2126752Z   test_meta_inplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2126900Z   test_meta_inplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2127045Z   test_meta_inplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2127193Z   test_meta_inplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2127341Z   test_meta_inplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2127490Z   test_meta_inplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2127639Z   test_meta_inplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2127789Z   test_meta_inplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2127933Z   test_meta_inplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2128077Z   test_meta_inplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2128254Z   test_meta_inplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2128436Z   test_meta_inplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2128615Z   test_meta_inplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2128797Z   test_meta_inplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2128974Z   test_meta_inplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2129175Z   test_meta_inplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2129364Z   test_meta_inplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2129541Z   test_meta_inplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2129728Z   test_meta_inplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2129906Z   test_meta_inplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2130108Z   test_meta_inplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2130292Z   test_meta_inplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2130473Z   test_meta_inplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2130648Z   test_meta_inplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2130827Z   test_meta_inplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131008Z   test_meta_inplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131187Z   test_meta_inplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131364Z   test_meta_inplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131540Z   test_meta_inplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131721Z   test_meta_inplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2131898Z   test_meta_inplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132085Z   test_meta_inplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132269Z   test_meta_inplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132448Z   test_meta_inplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132631Z   test_meta_inplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132808Z   test_meta_inplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2132986Z   test_meta_inplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2133168Z   test_meta_inplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2133340Z   test_meta_inplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2133516Z   test_meta_inplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2133691Z   test_meta_inplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2133869Z   test_meta_inplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2134015Z   test_meta_inplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2134167Z   test_meta_inplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2134341Z   test_meta_inplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2134487Z   test_meta_inplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2134630Z   test_meta_inplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2134795Z   test_meta_inplace_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2134933Z   test_meta_inplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2135072Z   test_meta_inplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2135235Z   test_meta_inplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2135407Z   test_meta_inplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2135581Z   test_meta_inplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2135754Z   test_meta_inplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2135926Z   test_meta_inplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2136089Z   test_meta_inplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2136237Z   test_meta_inplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2136386Z   test_meta_inplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2136534Z   test_meta_inplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2136687Z   test_meta_inplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2136873Z   test_meta_inplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2137059Z   test_meta_inplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2137237Z   test_meta_inplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2137390Z   test_meta_inplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2137528Z   test_meta_inplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2137686Z   test_meta_inplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2137841Z   test_meta_inplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2137992Z   test_meta_inplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2138141Z   test_meta_inplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2138288Z   test_meta_inplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2138432Z   test_meta_inplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2138579Z   test_meta_inplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2138718Z   test_meta_inplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2139047Z   test_meta_inplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2139191Z   test_meta_inplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2139335Z   test_meta_inplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2139492Z   test_meta_inplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2139636Z   test_meta_inplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2139794Z   test_meta_inplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2139991Z   test_meta_inplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140137Z   test_meta_inplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140285Z   test_meta_inplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140428Z   test_meta_inplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140577Z   test_meta_inplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140725Z   test_meta_inplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2140901Z   test_meta_inplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141047Z   test_meta_inplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141189Z   test_meta_inplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141338Z   test_meta_inplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141483Z   test_meta_inplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141639Z   test_meta_inplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141792Z   test_meta_inplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2141942Z   test_meta_inplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142089Z   test_meta_inplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142235Z   test_meta_inplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142382Z   test_meta_inplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142525Z   test_meta_inplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142668Z   test_meta_inplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142812Z   test_meta_inplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2142957Z   test_meta_inplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2143117Z   test_meta_inplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2143287Z   test_meta_inplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2143466Z   test_meta_inplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2143621Z   test_meta_inplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2143767Z   test_meta_inplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2143908Z   test_meta_inplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144056Z   test_meta_inplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144199Z   test_meta_inplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144345Z   test_meta_inplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144490Z   test_meta_inplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144636Z   test_meta_inplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144778Z   test_meta_inplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2144923Z   test_meta_inplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2145073Z   test_meta_inplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145229Z   test_meta_inplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145398Z   test_meta_inplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145546Z   test_meta_inplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145697Z   test_meta_inplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145845Z   test_meta_inplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2145990Z   test_meta_inplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2146134Z   test_meta_inplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.2146271Z   test_meta_inplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.2146488Z   test_meta_inplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2146680Z   test_meta_inplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2146877Z   test_meta_inplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2147072Z   test_meta_inplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2147263Z   test_meta_inplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2147451Z   test_meta_inplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2147641Z   test_meta_inplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2147830Z   test_meta_inplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2148020Z   test_meta_inplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2148201Z   test_meta_inplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2148388Z   test_meta_inplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2148573Z   test_meta_inplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2148757Z   test_meta_inplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2148941Z   test_meta_inplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2149129Z   test_meta_inplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2149313Z   test_meta_inplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2149496Z   test_meta_inplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2149678Z   test_meta_inplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2149851Z   test_meta_inplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2150033Z   test_meta_inplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2150213Z   test_meta_inplace_int_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2150481Z   test_meta_inplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2150676Z   test_meta_inplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2150881Z   test_meta_inplace_int_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:45:56.2151065Z   test_meta_inplace_int_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2151244Z   test_meta_inplace_int_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2151420Z   test_meta_inplace_int_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2151596Z   test_meta_inplace_int_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2151786Z   test_meta_inplace_int_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2151962Z   test_meta_inplace_int_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2152138Z   test_meta_inplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2152323Z   test_meta_inplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2152507Z   test_meta_inplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2152698Z   test_meta_inplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2152884Z   test_meta_inplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153070Z   test_meta_inplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153252Z   test_meta_inplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153424Z   test_meta_inplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153602Z   test_meta_inplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153780Z   test_meta_inplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2153960Z   test_meta_inplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2154141Z   test_meta_inplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2154322Z   test_meta_inplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2154508Z   test_meta_inplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2154688Z   test_meta_inplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2154879Z   test_meta_inplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2155064Z   test_meta_inplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2155248Z   test_meta_inplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2155434Z   test_meta_inplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2155616Z   test_meta_inplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2155794Z   test_meta_inplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156002Z   test_meta_inplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156180Z   test_meta_inplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156355Z   test_meta_inplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156537Z   test_meta_inplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156720Z   test_meta_inplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2156914Z   test_meta_inplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157095Z   test_meta_inplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157277Z   test_meta_inplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157457Z   test_meta_inplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157635Z   test_meta_inplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157811Z   test_meta_inplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2157987Z   test_meta_inplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2158161Z   test_meta_inplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2158346Z   test_meta_inplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2158515Z   test_meta_inplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2158706Z   test_meta_inplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2158892Z   test_meta_inplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159071Z   test_meta_inplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159250Z   test_meta_inplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159430Z   test_meta_inplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159613Z   test_meta_inplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159791Z   test_meta_inplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2159973Z   test_meta_inplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2160150Z   test_meta_inplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2160320Z   test_meta_inplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2160494Z   test_meta_inplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2160678Z   test_meta_inplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2160858Z   test_meta_inplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161041Z   test_meta_inplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161248Z   test_meta_inplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161429Z   test_meta_inplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161607Z   test_meta_inplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161788Z   test_meta_inplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2161959Z   test_meta_inplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2162170Z   test_meta_inplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2162348Z   test_meta_inplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2162528Z   test_meta_inplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2162704Z   test_meta_inplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2162891Z   test_meta_inplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163069Z   test_meta_inplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163256Z   test_meta_inplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163440Z   test_meta_inplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163619Z   test_meta_inplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163797Z   test_meta_inplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2163976Z   test_meta_inplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2164155Z   test_meta_inplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2164338Z   test_meta_inplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2164520Z   test_meta_inplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2164709Z   test_meta_inplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2164890Z   test_meta_inplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165082Z   test_meta_inplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165262Z   test_meta_inplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165432Z   test_meta_inplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165615Z   test_meta_inplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165794Z   test_meta_inplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2165973Z   test_meta_inplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2166152Z   test_meta_inplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2166355Z   test_meta_inplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2166538Z   test_meta_inplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2166716Z   test_meta_inplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2166904Z   test_meta_inplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2167080Z   test_meta_inplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2167261Z   test_meta_inplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2167466Z   test_meta_inplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2167648Z   test_meta_inplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2167826Z   test_meta_inplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168007Z   test_meta_inplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168188Z   test_meta_inplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168368Z   test_meta_inplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168543Z   test_meta_inplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168729Z   test_meta_inplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2168908Z   test_meta_inplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2169093Z   test_meta_inplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2169300Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2169504Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2169716Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2169926Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2170133Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2170337Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2170538Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2170740Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2170928Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2171119Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2171319Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2171538Z   test_meta_inplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2171749Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2171957Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2172172Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2172383Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2172615Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2172829Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2173031Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2173234Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2173438Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2173636Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2173842Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2174046Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2174242Z   test_meta_inplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2174434Z   test_meta_inplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2174635Z   test_meta_inplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2174832Z   test_meta_inplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175028Z   test_meta_inplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175213Z   test_meta_inplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175406Z   test_meta_inplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175598Z   test_meta_inplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175788Z   test_meta_inplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2175972Z   test_meta_inplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2176160Z   test_meta_inplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2176356Z   test_meta_inplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2176562Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2176790Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2177001Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2177204Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2177410Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2177636Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2177839Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2178042Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2178246Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2178447Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2178651Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2179024Z   test_meta_inplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2179243Z   test_meta_inplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2179434Z   test_meta_inplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2179631Z   test_meta_inplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2179828Z   test_meta_inplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180022Z   test_meta_inplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180213Z   test_meta_inplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180403Z   test_meta_inplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180591Z   test_meta_inplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180779Z   test_meta_inplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2180966Z   test_meta_inplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2181157Z   test_meta_inplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2181337Z   test_meta_inplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2181520Z   test_meta_inplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2181702Z   test_meta_inplace_kron_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2181887Z   test_meta_inplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2182124Z   test_meta_inplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2182307Z   test_meta_inplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2182488Z   test_meta_inplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2182669Z   test_meta_inplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2182850Z   test_meta_inplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183062Z   test_meta_inplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183234Z   test_meta_inplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183419Z   test_meta_inplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183595Z   test_meta_inplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183782Z   test_meta_inplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2183962Z   test_meta_inplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2184139Z   test_meta_inplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2184323Z   test_meta_inplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2184502Z   test_meta_inplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2184683Z   test_meta_inplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2184855Z   test_meta_inplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2185043Z   test_meta_inplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2185186Z   test_meta_inplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2185329Z   test_meta_inplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2185466Z   test_meta_inplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2185612Z   test_meta_inplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2185753Z   test_meta_inplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2185904Z   test_meta_inplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2186081Z   test_meta_inplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2186232Z   test_meta_inplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2186387Z   test_meta_inplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2186531Z   test_meta_inplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2186679Z   test_meta_inplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2186825Z   test_meta_inplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2187007Z   test_meta_inplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2187183Z   test_meta_inplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2187385Z   test_meta_inplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2187557Z   test_meta_inplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2187731Z   test_meta_inplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2187876Z   test_meta_inplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188019Z   test_meta_inplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188163Z   test_meta_inplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188329Z   test_meta_inplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188469Z   test_meta_inplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188609Z   test_meta_inplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188739Z   test_meta_inplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2188879Z   test_meta_inplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2189017Z   test_meta_inplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2189153Z   test_meta_inplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2189296Z   test_meta_inplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2189446Z   test_meta_inplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2189594Z   test_meta_inplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2189741Z   test_meta_inplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2189879Z   test_meta_inplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2190020Z   test_meta_inplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2190199Z   test_meta_inplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2190422Z   test_meta_inplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2190572Z   test_meta_inplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2190717Z   test_meta_inplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2190897Z   test_meta_inplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2191077Z   test_meta_inplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2191253Z   test_meta_inplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2191418Z   test_meta_inplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2191600Z   test_meta_inplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2191800Z   test_meta_inplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2191997Z   test_meta_inplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2192191Z   test_meta_inplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2192386Z   test_meta_inplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2192589Z   test_meta_inplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2192791Z   test_meta_inplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193021Z   test_meta_inplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193211Z   test_meta_inplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193406Z   test_meta_inplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193597Z   test_meta_inplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193787Z   test_meta_inplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2193998Z   test_meta_inplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2194193Z   test_meta_inplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2194389Z   test_meta_inplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2194578Z   test_meta_inplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2194767Z   test_meta_inplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2194955Z   test_meta_inplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2195138Z   test_meta_inplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2195325Z   test_meta_inplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2195519Z   test_meta_inplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2195703Z   test_meta_inplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2195889Z   test_meta_inplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2196081Z   test_meta_inplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2196271Z   test_meta_inplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2196459Z   test_meta_inplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2196643Z   test_meta_inplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2196849Z   test_meta_inplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2197041Z   test_meta_inplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2197238Z   test_meta_inplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2197435Z   test_meta_inplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2197626Z   test_meta_inplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2197820Z   test_meta_inplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198005Z   test_meta_inplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198215Z   test_meta_inplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198410Z   test_meta_inplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198604Z   test_meta_inplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198791Z   test_meta_inplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2198973Z   test_meta_inplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2199202Z   test_meta_inplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2199398Z   test_meta_inplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2199593Z   test_meta_inplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2199784Z   test_meta_inplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2199982Z   test_meta_inplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2200177Z   test_meta_inplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2200375Z   test_meta_inplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2200566Z   test_meta_inplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2200771Z   test_meta_inplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2200982Z   test_meta_inplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2201188Z   test_meta_inplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2201394Z   test_meta_inplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2201581Z   test_meta_inplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2201775Z   test_meta_inplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2201962Z   test_meta_inplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2202149Z   test_meta_inplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2202342Z   test_meta_inplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2202533Z   test_meta_inplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2202711Z   test_meta_inplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2202901Z   test_meta_inplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2203103Z   test_meta_inplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2203327Z   test_meta_inplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2203524Z   test_meta_inplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2203715Z   test_meta_inplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2203915Z   test_meta_inplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2204115Z   test_meta_inplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2204334Z   test_meta_inplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2204532Z   test_meta_inplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2204721Z   test_meta_inplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2204916Z   test_meta_inplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2205108Z   test_meta_inplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2205298Z   test_meta_inplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2205488Z   test_meta_inplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2205680Z   test_meta_inplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2205868Z   test_meta_inplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2206060Z   test_meta_inplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2206270Z   test_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2206479Z   test_meta_inplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2206675Z   test_meta_inplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2206881Z   test_meta_inplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2207071Z   test_meta_inplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2207266Z   test_meta_inplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2207452Z   test_meta_inplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2207630Z   test_meta_inplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2207827Z   test_meta_inplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2208022Z   test_meta_inplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2208219Z   test_meta_inplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2208408Z   test_meta_inplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2208624Z   test_meta_inplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2208822Z   test_meta_inplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2209019Z   test_meta_inplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2209211Z   test_meta_inplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2209428Z   test_meta_inplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2209621Z   test_meta_inplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2209811Z   test_meta_inplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210004Z   test_meta_inplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210192Z   test_meta_inplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210390Z   test_meta_inplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210581Z   test_meta_inplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210778Z   test_meta_inplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2210971Z   test_meta_inplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2211163Z   test_meta_inplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2211362Z   test_meta_inplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2211559Z   test_meta_inplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2211751Z   test_meta_inplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2211942Z   test_meta_inplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2212148Z   test_meta_inplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2212345Z   test_meta_inplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2212531Z   test_meta_inplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2212721Z   test_meta_inplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2212930Z   test_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2213140Z   test_meta_inplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2213347Z   test_meta_inplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2213551Z   test_meta_inplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2213779Z   test_meta_inplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2213976Z   test_meta_inplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2214173Z   test_meta_inplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2214367Z   test_meta_inplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2214583Z   test_meta_inplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2214764Z   test_meta_inplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2214958Z   test_meta_inplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2215149Z   test_meta_inplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2215341Z   test_meta_inplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2215528Z   test_meta_inplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2215715Z   test_meta_inplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2215906Z   test_meta_inplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2216119Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2216334Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2216549Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2216752Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2216959Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2217165Z   test_meta_inplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2217357Z   test_meta_inplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2217549Z   test_meta_inplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2217736Z   test_meta_inplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2217924Z   test_meta_inplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2218130Z   test_meta_inplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2218331Z   test_meta_inplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2218531Z   test_meta_inplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2218723Z   test_meta_inplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2219116Z   test_meta_inplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.2219349Z   test_meta_inplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.2219573Z   test_meta_inplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.2219791Z   test_meta_inplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.2220012Z   test_meta_inplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2220201Z   test_meta_inplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2220385Z   test_meta_inplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2220563Z   test_meta_inplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2220758Z   test_meta_inplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2220944Z   test_meta_inplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2221137Z   test_meta_inplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2221327Z   test_meta_inplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2221522Z   test_meta_inplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2221713Z   test_meta_inplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2221899Z   test_meta_inplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2222086Z   test_meta_inplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2222280Z   test_meta_inplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2222472Z   test_meta_inplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2222657Z   test_meta_inplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2222845Z   test_meta_inplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2223047Z   test_meta_inplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2223248Z   test_meta_inplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2223444Z   test_meta_inplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2223635Z   test_meta_inplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2223828Z   test_meta_inplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2224040Z   test_meta_inplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2224227Z   test_meta_inplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2224413Z   test_meta_inplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2224608Z   test_meta_inplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2224794Z   test_meta_inplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225008Z   test_meta_inplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225195Z   test_meta_inplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225392Z   test_meta_inplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225592Z   test_meta_inplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225780Z   test_meta_inplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2225971Z   test_meta_inplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2226166Z   test_meta_inplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2226368Z   test_meta_inplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2226560Z   test_meta_inplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2226747Z   test_meta_inplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2226937Z   test_meta_inplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2227128Z   test_meta_inplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2227318Z   test_meta_inplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2227510Z   test_meta_inplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2227695Z   test_meta_inplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2227883Z   test_meta_inplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2228068Z   test_meta_inplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2228253Z   test_meta_inplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2228436Z   test_meta_inplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2228621Z   test_meta_inplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2228817Z   test_meta_inplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229010Z   test_meta_inplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229218Z   test_meta_inplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229408Z   test_meta_inplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229595Z   test_meta_inplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229789Z   test_meta_inplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2229986Z   test_meta_inplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2230207Z   test_meta_inplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2230475Z   test_meta_inplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2230687Z   test_meta_inplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2230881Z   test_meta_inplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2231070Z   test_meta_inplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2231261Z   test_meta_inplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2231452Z   test_meta_inplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2231641Z   test_meta_inplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2231822Z   test_meta_inplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232003Z   test_meta_inplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232187Z   test_meta_inplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232358Z   test_meta_inplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232534Z   test_meta_inplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232716Z   test_meta_inplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2232903Z   test_meta_inplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2233050Z   test_meta_inplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2233228Z   test_meta_inplace_log10_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2233378Z   test_meta_inplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2233527Z   test_meta_inplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2233672Z   test_meta_inplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2233810Z   test_meta_inplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2233953Z   test_meta_inplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2234130Z   test_meta_inplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2234304Z   test_meta_inplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2234481Z   test_meta_inplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2234684Z   test_meta_inplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2234858Z   test_meta_inplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2235008Z   test_meta_inplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2235178Z   test_meta_inplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2235318Z   test_meta_inplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2235495Z   test_meta_inplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2235639Z   test_meta_inplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2235809Z   test_meta_inplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2235986Z   test_meta_inplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2236156Z   test_meta_inplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2236327Z   test_meta_inplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2236494Z   test_meta_inplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2236631Z   test_meta_inplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2236805Z   test_meta_inplace_log2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2236959Z   test_meta_inplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2237106Z   test_meta_inplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2237250Z   test_meta_inplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2237391Z   test_meta_inplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2237530Z   test_meta_inplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2237703Z   test_meta_inplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2237872Z   test_meta_inplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2238035Z   test_meta_inplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2238206Z   test_meta_inplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2238374Z   test_meta_inplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2238520Z   test_meta_inplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2238695Z   test_meta_inplace_log_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2238844Z   test_meta_inplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2238989Z   test_meta_inplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2239135Z   test_meta_inplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2239272Z   test_meta_inplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2239416Z   test_meta_inplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2239557Z   test_meta_inplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2239731Z   test_meta_inplace_log_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2239923Z   test_meta_inplace_log_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2240096Z   test_meta_inplace_log_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2240267Z   test_meta_inplace_log_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2240436Z   test_meta_inplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2240630Z   test_meta_inplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2240814Z   test_meta_inplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2241021Z   test_meta_inplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2241212Z   test_meta_inplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2241413Z   test_meta_inplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2241606Z   test_meta_inplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2241808Z   test_meta_inplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242011Z   test_meta_inplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242213Z   test_meta_inplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242412Z   test_meta_inplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242607Z   test_meta_inplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242789Z   test_meta_inplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2242989Z   test_meta_inplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2243185Z   test_meta_inplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2243380Z   test_meta_inplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2243577Z   test_meta_inplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2243771Z   test_meta_inplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2243961Z   test_meta_inplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2244148Z   test_meta_inplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2244337Z   test_meta_inplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2244525Z   test_meta_inplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2244708Z   test_meta_inplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2244891Z   test_meta_inplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2245105Z   test_meta_inplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2245297Z   test_meta_inplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2245488Z   test_meta_inplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2245677Z   test_meta_inplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2245859Z   test_meta_inplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2246065Z   test_meta_inplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2246247Z   test_meta_inplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2246420Z   test_meta_inplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2246575Z   test_meta_inplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2246730Z   test_meta_inplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2246888Z   test_meta_inplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247046Z   test_meta_inplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247198Z   test_meta_inplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247347Z   test_meta_inplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247491Z   test_meta_inplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247641Z   test_meta_inplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247782Z   test_meta_inplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2247926Z   test_meta_inplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2248073Z   test_meta_inplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2248225Z   test_meta_inplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2248377Z   test_meta_inplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2248523Z   test_meta_inplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2248674Z   test_meta_inplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2248830Z   test_meta_inplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2248970Z   test_meta_inplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249118Z   test_meta_inplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249263Z   test_meta_inplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249408Z   test_meta_inplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249550Z   test_meta_inplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249693Z   test_meta_inplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249837Z   test_meta_inplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2249985Z   test_meta_inplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2250134Z   test_meta_inplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2250286Z   test_meta_inplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2250462Z   test_meta_inplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2250616Z   test_meta_inplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2250767Z   test_meta_inplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2250915Z   test_meta_inplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251060Z   test_meta_inplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251209Z   test_meta_inplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251357Z   test_meta_inplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251544Z   test_meta_inplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251692Z   test_meta_inplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251839Z   test_meta_inplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2251994Z   test_meta_inplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252140Z   test_meta_inplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252297Z   test_meta_inplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252454Z   test_meta_inplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252605Z   test_meta_inplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252745Z   test_meta_inplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2252892Z   test_meta_inplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253043Z   test_meta_inplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253187Z   test_meta_inplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253332Z   test_meta_inplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253480Z   test_meta_inplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253628Z   test_meta_inplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2253776Z   test_meta_inplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2253947Z   test_meta_inplace_logit_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2254094Z   test_meta_inplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2254241Z   test_meta_inplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2254386Z   test_meta_inplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2254566Z   test_meta_inplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2254742Z   test_meta_inplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2254916Z   test_meta_inplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2255089Z   test_meta_inplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2255261Z   test_meta_inplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.008s)
2022-11-23T01:45:56.2255443Z   test_meta_inplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2255637Z   test_meta_inplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2255828Z   test_meta_inplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256039Z   test_meta_inplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256222Z   test_meta_inplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256399Z   test_meta_inplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256581Z   test_meta_inplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256758Z   test_meta_inplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2256957Z   test_meta_inplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2257133Z   test_meta_inplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2257319Z   test_meta_inplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2257508Z   test_meta_inplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2257694Z   test_meta_inplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2257880Z   test_meta_inplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2258060Z   test_meta_inplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2258240Z   test_meta_inplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2258425Z   test_meta_inplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2258607Z   test_meta_inplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2258915Z   test_meta_inplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2259160Z   test_meta_inplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2259350Z   test_meta_inplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2259530Z   test_meta_inplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2259710Z   test_meta_inplace_long_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2259897Z   test_meta_inplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260084Z   test_meta_inplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260259Z   test_meta_inplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260439Z   test_meta_inplace_long_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260619Z   test_meta_inplace_long_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260793Z   test_meta_inplace_long_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2260976Z   test_meta_inplace_long_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2261152Z   test_meta_inplace_long_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2261385Z   test_meta_inplace_long_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2261562Z   test_meta_inplace_long_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2261735Z   test_meta_inplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2261880Z   test_meta_inplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262020Z   test_meta_inplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262164Z   test_meta_inplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262331Z   test_meta_inplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262468Z   test_meta_inplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262609Z   test_meta_inplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262756Z   test_meta_inplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2262892Z   test_meta_inplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2263032Z   test_meta_inplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2263169Z   test_meta_inplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2263353Z   test_meta_inplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2263529Z   test_meta_inplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2263709Z   test_meta_inplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2263888Z   test_meta_inplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2264080Z   test_meta_inplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2264268Z   test_meta_inplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2264450Z   test_meta_inplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2264626Z   test_meta_inplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2264815Z   test_meta_inplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265008Z   test_meta_inplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265192Z   test_meta_inplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265365Z   test_meta_inplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265547Z   test_meta_inplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265725Z   test_meta_inplace_mH_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2265907Z   test_meta_inplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266085Z   test_meta_inplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266266Z   test_meta_inplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266444Z   test_meta_inplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266618Z   test_meta_inplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266821Z   test_meta_inplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2266990Z   test_meta_inplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2267165Z   test_meta_inplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2267334Z   test_meta_inplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2267510Z   test_meta_inplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2267702Z   test_meta_inplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2267882Z   test_meta_inplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268059Z   test_meta_inplace_mT_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268240Z   test_meta_inplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268418Z   test_meta_inplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268591Z   test_meta_inplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268766Z   test_meta_inplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2268943Z   test_meta_inplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269116Z   test_meta_inplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269294Z   test_meta_inplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269470Z   test_meta_inplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269640Z   test_meta_inplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269815Z   test_meta_inplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2269986Z   test_meta_inplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2270170Z   test_meta_inplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2270445Z   test_meta_inplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2270630Z   test_meta_inplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2270817Z   test_meta_inplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271003Z   test_meta_inplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271180Z   test_meta_inplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271356Z   test_meta_inplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271543Z   test_meta_inplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271722Z   test_meta_inplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2271943Z   test_meta_inplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2272131Z   test_meta_inplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2272312Z   test_meta_inplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2272497Z   test_meta_inplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2272674Z   test_meta_inplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2272931Z   test_meta_inplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2273109Z   test_meta_inplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2273294Z   test_meta_inplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2273470Z   test_meta_inplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2273661Z   test_meta_inplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2273848Z   test_meta_inplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274032Z   test_meta_inplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274223Z   test_meta_inplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274411Z   test_meta_inplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274596Z   test_meta_inplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274781Z   test_meta_inplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2274967Z   test_meta_inplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2275148Z   test_meta_inplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2275336Z   test_meta_inplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2275525Z   test_meta_inplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2275708Z   test_meta_inplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2275895Z   test_meta_inplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2276077Z   test_meta_inplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2276263Z   test_meta_inplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2276444Z   test_meta_inplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2276629Z   test_meta_inplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2276810Z   test_meta_inplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277003Z   test_meta_inplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277219Z   test_meta_inplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277413Z   test_meta_inplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277595Z   test_meta_inplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277782Z   test_meta_inplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2277965Z   test_meta_inplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2278179Z   test_meta_inplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2278369Z   test_meta_inplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2278556Z   test_meta_inplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2278738Z   test_meta_inplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2278922Z   test_meta_inplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2279114Z   test_meta_inplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2279314Z   test_meta_inplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2279498Z   test_meta_inplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2279684Z   test_meta_inplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2279874Z   test_meta_inplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280059Z   test_meta_inplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280242Z   test_meta_inplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280426Z   test_meta_inplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280609Z   test_meta_inplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280793Z   test_meta_inplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2280978Z   test_meta_inplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2281124Z   test_meta_inplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2281273Z   test_meta_inplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2281432Z   test_meta_inplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2281586Z   test_meta_inplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2281742Z   test_meta_inplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2281896Z   test_meta_inplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2282044Z   test_meta_inplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2282188Z   test_meta_inplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2282358Z   test_meta_inplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2282497Z   test_meta_inplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2282639Z   test_meta_inplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2282785Z   test_meta_inplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2282934Z   test_meta_inplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2283135Z   test_meta_inplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2283354Z   test_meta_inplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2283549Z   test_meta_inplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2283744Z   test_meta_inplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2283944Z   test_meta_inplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2284134Z   test_meta_inplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2284328Z   test_meta_inplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2284521Z   test_meta_inplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2284717Z   test_meta_inplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2284908Z   test_meta_inplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2285092Z   test_meta_inplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2285282Z   test_meta_inplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2285473Z   test_meta_inplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2285657Z   test_meta_inplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2285849Z   test_meta_inplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286033Z   test_meta_inplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286224Z   test_meta_inplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286410Z   test_meta_inplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286600Z   test_meta_inplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286790Z   test_meta_inplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2286974Z   test_meta_inplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2287161Z   test_meta_inplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2287348Z   test_meta_inplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2287557Z   test_meta_inplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2287732Z   test_meta_inplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2287909Z   test_meta_inplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2288095Z   test_meta_inplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2288273Z   test_meta_inplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2288484Z   test_meta_inplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2288672Z   test_meta_inplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2288861Z   test_meta_inplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289049Z   test_meta_inplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289233Z   test_meta_inplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289420Z   test_meta_inplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289596Z   test_meta_inplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289796Z   test_meta_inplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2289996Z   test_meta_inplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2290195Z   test_meta_inplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2290385Z   test_meta_inplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2290575Z   test_meta_inplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2290762Z   test_meta_inplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2290953Z   test_meta_inplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2291140Z   test_meta_inplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2291335Z   test_meta_inplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2291517Z   test_meta_inplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2291702Z   test_meta_inplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2291887Z   test_meta_inplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292073Z   test_meta_inplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292258Z   test_meta_inplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292436Z   test_meta_inplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292633Z   test_meta_inplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292815Z   test_meta_inplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2292992Z   test_meta_inplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2293143Z   test_meta_inplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2293301Z   test_meta_inplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2293463Z   test_meta_inplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2293652Z   test_meta_inplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2293808Z   test_meta_inplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2293966Z   test_meta_inplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294119Z   test_meta_inplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294273Z   test_meta_inplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294421Z   test_meta_inplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294559Z   test_meta_inplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294710Z   test_meta_inplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2294857Z   test_meta_inplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2295054Z   test_meta_inplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2295246Z   test_meta_inplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2295444Z   test_meta_inplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2295637Z   test_meta_inplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2295822Z   test_meta_inplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296010Z   test_meta_inplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296190Z   test_meta_inplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296380Z   test_meta_inplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296565Z   test_meta_inplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296751Z   test_meta_inplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2296938Z   test_meta_inplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2297118Z   test_meta_inplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2297306Z   test_meta_inplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2297496Z   test_meta_inplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2297684Z   test_meta_inplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2297889Z   test_meta_inplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2298068Z   test_meta_inplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2298250Z   test_meta_inplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2298434Z   test_meta_inplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2298614Z   test_meta_inplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2298941Z   test_meta_inplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2299135Z   test_meta_inplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2299327Z   test_meta_inplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2299515Z   test_meta_inplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2299696Z   test_meta_inplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2299875Z   test_meta_inplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300060Z   test_meta_inplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300238Z   test_meta_inplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300413Z   test_meta_inplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300596Z   test_meta_inplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300771Z   test_meta_inplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2300954Z   test_meta_inplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2301141Z   test_meta_inplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2301330Z   test_meta_inplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2301520Z   test_meta_inplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2301698Z   test_meta_inplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2301885Z   test_meta_inplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2302071Z   test_meta_inplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2302257Z   test_meta_inplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2302432Z   test_meta_inplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2302628Z   test_meta_inplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2302853Z   test_meta_inplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2303031Z   test_meta_inplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2303266Z   test_meta_inplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2303454Z   test_meta_inplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2303650Z   test_meta_inplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2303836Z   test_meta_inplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304022Z   test_meta_inplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304236Z   test_meta_inplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304417Z   test_meta_inplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304597Z   test_meta_inplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304776Z   test_meta_inplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2304960Z   test_meta_inplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2305138Z   test_meta_inplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2305312Z   test_meta_inplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2305500Z   test_meta_inplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2305681Z   test_meta_inplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2305942Z   test_meta_inplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2306133Z   test_meta_inplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2306311Z   test_meta_inplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2306499Z   test_meta_inplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2306688Z   test_meta_inplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2306882Z   test_meta_inplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307064Z   test_meta_inplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307244Z   test_meta_inplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307428Z   test_meta_inplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307615Z   test_meta_inplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307798Z   test_meta_inplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2307977Z   test_meta_inplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2308161Z   test_meta_inplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2308342Z   test_meta_inplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2308553Z   test_meta_inplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2308731Z   test_meta_inplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2308899Z   test_meta_inplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2309082Z   test_meta_inplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2309256Z   test_meta_inplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2309502Z   test_meta_inplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2309714Z   test_meta_inplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2309920Z   test_meta_inplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2310122Z   test_meta_inplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2310388Z   test_meta_inplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2310603Z   test_meta_inplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2310802Z   test_meta_inplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2310990Z   test_meta_inplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2311186Z   test_meta_inplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2311381Z   test_meta_inplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2311574Z   test_meta_inplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2311765Z   test_meta_inplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2311955Z   test_meta_inplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2312143Z   test_meta_inplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2312346Z   test_meta_inplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2312539Z   test_meta_inplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2312736Z   test_meta_inplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2312921Z   test_meta_inplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2313107Z   test_meta_inplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2313302Z   test_meta_inplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2313500Z   test_meta_inplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2313715Z   test_meta_inplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2313908Z   test_meta_inplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2314097Z   test_meta_inplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2314284Z   test_meta_inplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2314467Z   test_meta_inplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2314672Z   test_meta_inplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2314843Z   test_meta_inplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315021Z   test_meta_inplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315204Z   test_meta_inplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315384Z   test_meta_inplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315564Z   test_meta_inplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315743Z   test_meta_inplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2315921Z   test_meta_inplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2316102Z   test_meta_inplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2316291Z   test_meta_inplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2316474Z   test_meta_inplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2316647Z   test_meta_inplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2316824Z   test_meta_inplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317006Z   test_meta_inplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317193Z   test_meta_inplace_median_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317370Z   test_meta_inplace_median_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317545Z   test_meta_inplace_median_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317723Z   test_meta_inplace_median_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2317899Z   test_meta_inplace_median_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2318073Z   test_meta_inplace_median_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2318247Z   test_meta_inplace_median_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2318424Z   test_meta_inplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2318628Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2318852Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2319062Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2319268Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2319468Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2319681Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2319870Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2320068Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2320252Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2320439Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2320633Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2320830Z   test_meta_inplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2321035Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2321233Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2321439Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2321647Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2321848Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2322041Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2322230Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2322427Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2322622Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2322811Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323008Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323210Z   test_meta_inplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323399Z   test_meta_inplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323582Z   test_meta_inplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323789Z   test_meta_inplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2323976Z   test_meta_inplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2324152Z   test_meta_inplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2324336Z   test_meta_inplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2324515Z   test_meta_inplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2324714Z   test_meta_inplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2324897Z   test_meta_inplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2325077Z   test_meta_inplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2325273Z   test_meta_inplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2325467Z   test_meta_inplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2325661Z   test_meta_inplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2325856Z   test_meta_inplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2326045Z   test_meta_inplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2326239Z   test_meta_inplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2326435Z   test_meta_inplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2326625Z   test_meta_inplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2326815Z   test_meta_inplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327003Z   test_meta_inplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327201Z   test_meta_inplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327396Z   test_meta_inplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327597Z   test_meta_inplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327788Z   test_meta_inplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2327970Z   test_meta_inplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2328165Z   test_meta_inplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2328358Z   test_meta_inplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2328553Z   test_meta_inplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2328741Z   test_meta_inplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2328959Z   test_meta_inplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2329146Z   test_meta_inplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2329325Z   test_meta_inplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2329508Z   test_meta_inplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2329690Z   test_meta_inplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2329880Z   test_meta_inplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330062Z   test_meta_inplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330244Z   test_meta_inplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330424Z   test_meta_inplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330598Z   test_meta_inplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330777Z   test_meta_inplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2330957Z   test_meta_inplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2331137Z   test_meta_inplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2331312Z   test_meta_inplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2331486Z   test_meta_inplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2331663Z   test_meta_inplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2331849Z   test_meta_inplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332031Z   test_meta_inplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332207Z   test_meta_inplace_mode_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332390Z   test_meta_inplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332565Z   test_meta_inplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332745Z   test_meta_inplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2332920Z   test_meta_inplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333090Z   test_meta_inplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333268Z   test_meta_inplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333442Z   test_meta_inplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333616Z   test_meta_inplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333802Z   test_meta_inplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2333978Z   test_meta_inplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2334195Z   test_meta_inplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2334383Z   test_meta_inplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2334561Z   test_meta_inplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2334745Z   test_meta_inplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2334914Z   test_meta_inplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2335118Z   test_meta_inplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2335296Z   test_meta_inplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2335478Z   test_meta_inplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2335657Z   test_meta_inplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2335836Z   test_meta_inplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336011Z   test_meta_inplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336194Z   test_meta_inplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336372Z   test_meta_inplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336545Z   test_meta_inplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336724Z   test_meta_inplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2336904Z   test_meta_inplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2337081Z   test_meta_inplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2337260Z   test_meta_inplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2337436Z   test_meta_inplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2337617Z   test_meta_inplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2337761Z   test_meta_inplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2337902Z   test_meta_inplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338046Z   test_meta_inplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338191Z   test_meta_inplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338337Z   test_meta_inplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338486Z   test_meta_inplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338633Z   test_meta_inplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2338771Z   test_meta_inplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339024Z   test_meta_inplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339164Z   test_meta_inplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339292Z   test_meta_inplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339473Z   test_meta_inplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339616Z   test_meta_inplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2339806Z   test_meta_inplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2339996Z   test_meta_inplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2340186Z   test_meta_inplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2340367Z   test_meta_inplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2340578Z   test_meta_inplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2340760Z   test_meta_inplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2340935Z   test_meta_inplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2341111Z   test_meta_inplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2341288Z   test_meta_inplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2341453Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2341618Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2341782Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2341972Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2342167Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2342357Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2342545Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2342724Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2342884Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2343050Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2343209Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2343393Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2343584Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2343769Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2343958Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2344140Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2344294Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2344456Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2344615Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2344826Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2345012Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2345191Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2345380Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2345565Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2345753Z   test_meta_inplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2345896Z   test_meta_inplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2346051Z   test_meta_inplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2346197Z   test_meta_inplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2346339Z   test_meta_inplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2346486Z   test_meta_inplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2346632Z   test_meta_inplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2346776Z   test_meta_inplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2346926Z   test_meta_inplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2347065Z   test_meta_inplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2347255Z   test_meta_inplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2347443Z   test_meta_inplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2347624Z   test_meta_inplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2347802Z   test_meta_inplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2347989Z   test_meta_inplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2348169Z   test_meta_inplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2348350Z   test_meta_inplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2348528Z   test_meta_inplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2348708Z   test_meta_inplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2348877Z   test_meta_inplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349059Z   test_meta_inplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349236Z   test_meta_inplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349423Z   test_meta_inplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349613Z   test_meta_inplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349789Z   test_meta_inplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2349991Z   test_meta_inplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2350178Z   test_meta_inplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2350412Z   test_meta_inplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2350580Z   test_meta_inplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2350759Z   test_meta_inplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2350964Z   test_meta_inplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2351143Z   test_meta_inplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2351322Z   test_meta_inplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2351497Z   test_meta_inplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2351687Z   test_meta_inplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2351871Z   test_meta_inplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352061Z   test_meta_inplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352251Z   test_meta_inplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352431Z   test_meta_inplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352620Z   test_meta_inplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352811Z   test_meta_inplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2352997Z   test_meta_inplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2353178Z   test_meta_inplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2353356Z   test_meta_inplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2353532Z   test_meta_inplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2353716Z   test_meta_inplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2353900Z   test_meta_inplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354075Z   test_meta_inplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354255Z   test_meta_inplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354435Z   test_meta_inplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354619Z   test_meta_inplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354802Z   test_meta_inplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2354983Z   test_meta_inplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2355221Z   test_meta_inplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2355397Z   test_meta_inplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2355575Z   test_meta_inplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2355755Z   test_meta_inplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2355927Z   test_meta_inplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2356129Z   test_meta_inplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2356306Z   test_meta_inplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2356505Z   test_meta_inplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2356698Z   test_meta_inplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2356891Z   test_meta_inplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2357078Z   test_meta_inplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2357281Z   test_meta_inplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2357482Z   test_meta_inplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2357669Z   test_meta_inplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2357863Z   test_meta_inplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2358058Z   test_meta_inplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2358246Z   test_meta_inplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2358437Z   test_meta_inplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2358620Z   test_meta_inplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2358770Z   test_meta_inplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2358911Z   test_meta_inplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359061Z   test_meta_inplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359207Z   test_meta_inplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359341Z   test_meta_inplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359480Z   test_meta_inplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359616Z   test_meta_inplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359755Z   test_meta_inplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2359893Z   test_meta_inplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2360032Z   test_meta_inplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2360168Z   test_meta_inplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2360307Z   test_meta_inplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2360469Z   test_meta_inplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2360617Z   test_meta_inplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2360764Z   test_meta_inplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2360907Z   test_meta_inplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361049Z   test_meta_inplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361191Z   test_meta_inplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361332Z   test_meta_inplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361497Z   test_meta_inplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361630Z   test_meta_inplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361767Z   test_meta_inplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2361905Z   test_meta_inplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2362042Z   test_meta_inplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2362230Z   test_meta_inplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2362416Z   test_meta_inplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2362607Z   test_meta_inplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2362801Z   test_meta_inplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2362982Z   test_meta_inplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2363173Z   test_meta_inplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2363354Z   test_meta_inplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2363533Z   test_meta_inplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2363716Z   test_meta_inplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2363894Z   test_meta_inplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2364074Z   test_meta_inplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2364255Z   test_meta_inplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2364433Z   test_meta_inplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2364628Z   test_meta_inplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2364812Z   test_meta_inplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2365009Z   test_meta_inplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2365205Z   test_meta_inplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2365404Z   test_meta_inplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2365595Z   test_meta_inplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2365810Z   test_meta_inplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366000Z   test_meta_inplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366192Z   test_meta_inplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366383Z   test_meta_inplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366567Z   test_meta_inplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366774Z   test_meta_inplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2366958Z   test_meta_inplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2367149Z   test_meta_inplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2367328Z   test_meta_inplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2367517Z   test_meta_inplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2367703Z   test_meta_inplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2367896Z   test_meta_inplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368083Z   test_meta_inplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368261Z   test_meta_inplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368431Z   test_meta_inplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368612Z   test_meta_inplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368786Z   test_meta_inplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2368958Z   test_meta_inplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2369138Z   test_meta_inplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2369322Z   test_meta_inplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2369506Z   test_meta_inplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2369690Z   test_meta_inplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2369879Z   test_meta_inplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370063Z   test_meta_inplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370242Z   test_meta_inplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370427Z   test_meta_inplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370605Z   test_meta_inplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370780Z   test_meta_inplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2370984Z   test_meta_inplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2371161Z   test_meta_inplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2371335Z   test_meta_inplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2371515Z   test_meta_inplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2371691Z   test_meta_inplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2371886Z   test_meta_inplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372065Z   test_meta_inplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372255Z   test_meta_inplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372438Z   test_meta_inplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372625Z   test_meta_inplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372807Z   test_meta_inplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2372984Z   test_meta_inplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2373163Z   test_meta_inplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2373345Z   test_meta_inplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2373524Z   test_meta_inplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2373690Z   test_meta_inplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2373868Z   test_meta_inplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2374042Z   test_meta_inplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2374194Z   test_meta_inplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2374348Z   test_meta_inplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2374493Z   test_meta_inplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2374696Z   test_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.2374898Z   test_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.2375097Z   test_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.2375289Z   test_meta_inplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.2375503Z   test_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2375717Z   test_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2375929Z   test_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2376160Z   test_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2376366Z   test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2376569Z   test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2376779Z   test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2377001Z   test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2377213Z   test_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2377415Z   test_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2377610Z   test_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2377810Z   test_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2378019Z   test_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2378229Z   test_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2378431Z   test_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2378634Z   test_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2378949Z   test_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2379152Z   test_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2379352Z   test_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2379553Z   test_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2379758Z   test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2379952Z   test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2380149Z   test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2380346Z   test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2380520Z   test_meta_inplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2380696Z   test_meta_inplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2380862Z   test_meta_inplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2381060Z   test_meta_inplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2381264Z   test_meta_inplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2381464Z   test_meta_inplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2381656Z   test_meta_inplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2381841Z   test_meta_inplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2382075Z   test_meta_inplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2382265Z   test_meta_inplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2382456Z   test_meta_inplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2382644Z   test_meta_inplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2382840Z   test_meta_inplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383029Z   test_meta_inplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383220Z   test_meta_inplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383406Z   test_meta_inplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383601Z   test_meta_inplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383783Z   test_meta_inplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2383970Z   test_meta_inplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2384159Z   test_meta_inplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2384372Z   test_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2384583Z   test_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2384790Z   test_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2384990Z   test_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2385188Z   test_meta_inplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2385385Z   test_meta_inplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2385576Z   test_meta_inplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2385760Z   test_meta_inplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2385991Z   test_meta_inplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2386201Z   test_meta_inplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2386408Z   test_meta_inplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2386614Z   test_meta_inplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2386836Z   test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2387075Z   test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2387294Z   test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2387506Z   test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2387668Z   test_meta_inplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2387828Z   test_meta_inplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2387980Z   test_meta_inplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2388136Z   test_meta_inplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2388336Z   test_meta_inplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2388540Z   test_meta_inplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2388740Z   test_meta_inplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2388933Z   test_meta_inplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2389128Z   test_meta_inplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2389323Z   test_meta_inplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2389520Z   test_meta_inplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2389717Z   test_meta_inplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2389912Z   test_meta_inplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2390104Z   test_meta_inplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2390355Z   test_meta_inplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2390574Z   test_meta_inplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2390768Z   test_meta_inplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2390957Z   test_meta_inplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2391195Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2391405Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2391613Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2391822Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2392022Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2392252Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2392454Z   test_meta_inplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2392660Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2392867Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2393071Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2393277Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2393480Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2393681Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2393878Z   test_meta_inplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2394084Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2394283Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2394485Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2394693Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2394895Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2395097Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2395295Z   test_meta_inplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2395510Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2395718Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2395930Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2396179Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2396382Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2396588Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2396790Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2396990Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2397216Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2397423Z   test_meta_inplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2397624Z   test_meta_inplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2397831Z   test_meta_inplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2398036Z   test_meta_inplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2398235Z   test_meta_inplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2398443Z   test_meta_inplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2398642Z   test_meta_inplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2398841Z   test_meta_inplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2399045Z   test_meta_inplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2399240Z   test_meta_inplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2399431Z   test_meta_inplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2399599Z   test_meta_inplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2399768Z   test_meta_inplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2399937Z   test_meta_inplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2400103Z   test_meta_inplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2400265Z   test_meta_inplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2400420Z   test_meta_inplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2400582Z   test_meta_inplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2400742Z   test_meta_inplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2400909Z   test_meta_inplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2401072Z   test_meta_inplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2401257Z   test_meta_inplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2401419Z   test_meta_inplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2401577Z   test_meta_inplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2401727Z   test_meta_inplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2401883Z   test_meta_inplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2402034Z   test_meta_inplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2402267Z   test_meta_inplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2402474Z   test_meta_inplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2402682Z   test_meta_inplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2402886Z   test_meta_inplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2403087Z   test_meta_inplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2403285Z   test_meta_inplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2403477Z   test_meta_inplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2403662Z   test_meta_inplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2403857Z   test_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2404049Z   test_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2404236Z   test_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2404425Z   test_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2404617Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2404805Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2405000Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2405203Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2405394Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2405578Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2405763Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2405950Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2406144Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2406331Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2406542Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2406728Z   test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2406941Z   test_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2407150Z   test_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2407383Z   test_meta_inplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2407585Z   test_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2407791Z   test_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2407995Z   test_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2408201Z   test_meta_inplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2408407Z   test_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2408613Z   test_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2408812Z   test_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409012Z   test_meta_inplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409205Z   test_meta_inplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409403Z   test_meta_inplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409589Z   test_meta_inplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409782Z   test_meta_inplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2409976Z   test_meta_inplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2410167Z   test_meta_inplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2410360Z   test_meta_inplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2410562Z   test_meta_inplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2410758Z   test_meta_inplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2410950Z   test_meta_inplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2411146Z   test_meta_inplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2411345Z   test_meta_inplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2411551Z   test_meta_inplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2411744Z   test_meta_inplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2411939Z   test_meta_inplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2412133Z   test_meta_inplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2412324Z   test_meta_inplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2412535Z   test_meta_inplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2412710Z   test_meta_inplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2412880Z   test_meta_inplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2413043Z   test_meta_inplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2413205Z   test_meta_inplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2413394Z   test_meta_inplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2413593Z   test_meta_inplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2413790Z   test_meta_inplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2413984Z   test_meta_inplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2414176Z   test_meta_inplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2414371Z   test_meta_inplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2414564Z   test_meta_inplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2414773Z   test_meta_inplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2415039Z   test_meta_inplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2415279Z   test_meta_inplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2415476Z   test_meta_inplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2415672Z   test_meta_inplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2415885Z   test_meta_inplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2416098Z   test_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2416312Z   test_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2416522Z   test_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2416757Z   test_meta_inplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2416974Z   test_meta_inplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2417185Z   test_meta_inplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2417397Z   test_meta_inplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2417625Z   test_meta_inplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2417876Z   test_meta_inplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2418103Z   test_meta_inplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2418325Z   test_meta_inplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2418560Z   test_meta_inplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2418909Z   test_meta_inplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2419118Z   test_meta_inplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2419321Z   test_meta_inplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2419536Z   test_meta_inplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2419746Z   test_meta_inplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2419949Z   test_meta_inplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2420152Z   test_meta_inplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2420360Z   test_meta_inplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2420573Z   test_meta_inplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2420786Z   test_meta_inplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2420994Z   test_meta_inplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2421196Z   test_meta_inplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2421408Z   test_meta_inplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2421617Z   test_meta_inplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2421822Z   test_meta_inplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2422069Z   test_meta_inplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2422280Z   test_meta_inplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2422485Z   test_meta_inplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2422697Z   test_meta_inplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2422894Z   test_meta_inplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2423117Z   test_meta_inplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2423315Z   test_meta_inplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2423509Z   test_meta_inplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2423705Z   test_meta_inplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2423901Z   test_meta_inplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2424097Z   test_meta_inplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2424293Z   test_meta_inplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2424480Z   test_meta_inplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2424677Z   test_meta_inplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2424878Z   test_meta_inplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2425077Z   test_meta_inplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2425267Z   test_meta_inplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2425457Z   test_meta_inplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2425627Z   test_meta_inplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2425790Z   test_meta_inplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2425957Z   test_meta_inplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2426120Z   test_meta_inplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2426307Z   test_meta_inplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2426509Z   test_meta_inplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2426710Z   test_meta_inplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2426908Z   test_meta_inplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2427127Z   test_meta_inplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2427323Z   test_meta_inplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2427535Z   test_meta_inplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2427747Z   test_meta_inplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2427954Z   test_meta_inplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2428181Z   test_meta_inplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2428375Z   test_meta_inplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2428579Z   test_meta_inplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2428773Z   test_meta_inplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2428966Z   test_meta_inplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2429174Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2429382Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2429590Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2429792Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2429995Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2430199Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2430466Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2430668Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2430865Z   test_meta_inplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2431065Z   test_meta_inplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2431262Z   test_meta_inplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2431453Z   test_meta_inplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2431641Z   test_meta_inplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2431838Z   test_meta_inplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2432026Z   test_meta_inplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2432255Z   test_meta_inplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2432448Z   test_meta_inplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2432639Z   test_meta_inplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2432829Z   test_meta_inplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2433018Z   test_meta_inplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2433271Z   test_meta_inplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2433473Z   test_meta_inplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2433672Z   test_meta_inplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2433872Z   test_meta_inplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2434068Z   test_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2441111Z   test_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2441396Z   test_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2441603Z   test_meta_inplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2441837Z   test_meta_inplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2442100Z   test_meta_inplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2442309Z   test_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2442516Z   test_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2442722Z   test_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2442922Z   test_meta_inplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2443114Z   test_meta_inplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2443319Z   test_meta_inplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2443523Z   test_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2443725Z   test_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2443926Z   test_meta_inplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2444087Z   test_meta_inplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2444330Z   test_meta_inplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2444494Z   test_meta_inplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2444648Z   test_meta_inplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2444848Z   test_meta_inplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2445039Z   test_meta_inplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2445229Z   test_meta_inplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2445442Z   test_meta_inplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2445652Z   test_meta_inplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2445854Z   test_meta_inplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2446054Z   test_meta_inplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2446251Z   test_meta_inplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2446462Z   test_meta_inplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2446678Z   test_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2446893Z   test_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2447098Z   test_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2447316Z   test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2447530Z   test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2447750Z   test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2447962Z   test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2448165Z   test_meta_inplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2448362Z   test_meta_inplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2448554Z   test_meta_inplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2448744Z   test_meta_inplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2448946Z   test_meta_inplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2449152Z   test_meta_inplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2449373Z   test_meta_inplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2449571Z   test_meta_inplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2449762Z   test_meta_inplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2449951Z   test_meta_inplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2450143Z   test_meta_inplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2450371Z   test_meta_inplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2450568Z   test_meta_inplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2450773Z   test_meta_inplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2450982Z   test_meta_inplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2451184Z   test_meta_inplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2451376Z   test_meta_inplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2451578Z   test_meta_inplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2451783Z   test_meta_inplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2451979Z   test_meta_inplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2452170Z   test_meta_inplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2452369Z   test_meta_inplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2452561Z   test_meta_inplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2452764Z   test_meta_inplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2452968Z   test_meta_inplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2453175Z   test_meta_inplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2453383Z   test_meta_inplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2453574Z   test_meta_inplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2453775Z   test_meta_inplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2453973Z   test_meta_inplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2454177Z   test_meta_inplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2454397Z   test_meta_inplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2454590Z   test_meta_inplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2454789Z   test_meta_inplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2454979Z   test_meta_inplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2455181Z   test_meta_inplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2455410Z   test_meta_inplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2455607Z   test_meta_inplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2455811Z   test_meta_inplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2456005Z   test_meta_inplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2456196Z   test_meta_inplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2456406Z   test_meta_inplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2456613Z   test_meta_inplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2456812Z   test_meta_inplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2457019Z   test_meta_inplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2457223Z   test_meta_inplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2457432Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2457636Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2457851Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2458060Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2458268Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2458472Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2458674Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2459040Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2459248Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2459454Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2459705Z   test_meta_inplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2459903Z   test_meta_inplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2460092Z   test_meta_inplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2460294Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2460496Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2460733Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2460938Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2461140Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2461341Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2461541Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2461738Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2461932Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2462114Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2462316Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2462508Z   test_meta_inplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2462713Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2462919Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2463133Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2463341Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2463543Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2463743Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2463947Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2464147Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2464342Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2464545Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2464773Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2464972Z   test_meta_inplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2465180Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2465385Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2465588Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2465830Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2466035Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2466237Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2466431Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2466628Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2466826Z   test_meta_inplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467025Z   test_meta_inplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467225Z   test_meta_inplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467419Z   test_meta_inplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467616Z   test_meta_inplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467805Z   test_meta_inplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2467995Z   test_meta_inplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2468187Z   test_meta_inplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2468381Z   test_meta_inplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2468567Z   test_meta_inplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2468756Z   test_meta_inplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2468948Z   test_meta_inplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2469134Z   test_meta_inplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2469326Z   test_meta_inplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2469522Z   test_meta_inplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2469755Z   test_meta_inplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2469950Z   test_meta_inplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2470142Z   test_meta_inplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2470402Z   test_meta_inplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2470605Z   test_meta_inplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2470823Z   test_meta_inplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2471008Z   test_meta_inplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2471171Z   test_meta_inplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2471332Z   test_meta_inplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2471491Z   test_meta_inplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2471645Z   test_meta_inplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2471800Z   test_meta_inplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2471950Z   test_meta_inplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472111Z   test_meta_inplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472264Z   test_meta_inplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472417Z   test_meta_inplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472574Z   test_meta_inplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472726Z   test_meta_inplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2472878Z   test_meta_inplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2473081Z   test_meta_inplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2473283Z   test_meta_inplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2473481Z   test_meta_inplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2473687Z   test_meta_inplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2473893Z   test_meta_inplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2474097Z   test_meta_inplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2474295Z   test_meta_inplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2474493Z   test_meta_inplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2474691Z   test_meta_inplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2474887Z   test_meta_inplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2475114Z   test_meta_inplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2475326Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2475537Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2475743Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2475983Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2476187Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2476389Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2476593Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2476797Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2476992Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2477195Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2477398Z   test_meta_inplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2479110Z   test_meta_inplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2479307Z   test_meta_inplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2479491Z   test_meta_inplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2479682Z   test_meta_inplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2479883Z   test_meta_inplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2480086Z   test_meta_inplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2480283Z   test_meta_inplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2480478Z   test_meta_inplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2480675Z   test_meta_inplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2480869Z   test_meta_inplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2481073Z   test_meta_inplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2481276Z   test_meta_inplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2481467Z   test_meta_inplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2481684Z   test_meta_inplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2481878Z   test_meta_inplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2482073Z   test_meta_inplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2482272Z   test_meta_inplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2482494Z   test_meta_inplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2482687Z   test_meta_inplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2482884Z   test_meta_inplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2483086Z   test_meta_inplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2483290Z   test_meta_inplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2483489Z   test_meta_inplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2483685Z   test_meta_inplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2483880Z   test_meta_inplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2484079Z   test_meta_inplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2484274Z   test_meta_inplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2484466Z   test_meta_inplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2484654Z   test_meta_inplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2484850Z   test_meta_inplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2485050Z   test_meta_inplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2485216Z   test_meta_inplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2485379Z   test_meta_inplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2485544Z   test_meta_inplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2485709Z   test_meta_inplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2485873Z   test_meta_inplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2486037Z   test_meta_inplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2486197Z   test_meta_inplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2486362Z   test_meta_inplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2486520Z   test_meta_inplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2486758Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2486969Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2487184Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2487396Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2487605Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2487831Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2488040Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2488244Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2488444Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2488649Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2488847Z   test_meta_inplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2489074Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2489296Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2489523Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2489745Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2489965Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2490183Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2490400Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2490621Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2490840Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2491060Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2491273Z   test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2491472Z   test_meta_inplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2491690Z   test_meta_inplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2491890Z   test_meta_inplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2492084Z   test_meta_inplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2492280Z   test_meta_inplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2492472Z   test_meta_inplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2492702Z   test_meta_inplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2492912Z   test_meta_inplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2493115Z   test_meta_inplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2493321Z   test_meta_inplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2493530Z   test_meta_inplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2493723Z   test_meta_inplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2493931Z   test_meta_inplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2494119Z   test_meta_inplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2494304Z   test_meta_inplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2494491Z   test_meta_inplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2494681Z   test_meta_inplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2494862Z   test_meta_inplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495050Z   test_meta_inplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495238Z   test_meta_inplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495418Z   test_meta_inplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495593Z   test_meta_inplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495773Z   test_meta_inplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2495954Z   test_meta_inplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2496135Z   test_meta_inplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2496312Z   test_meta_inplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2496490Z   test_meta_inplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2496678Z   test_meta_inplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2496884Z   test_meta_inplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497066Z   test_meta_inplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497236Z   test_meta_inplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497414Z   test_meta_inplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497598Z   test_meta_inplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497804Z   test_meta_inplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2497993Z   test_meta_inplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2498178Z   test_meta_inplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2498355Z   test_meta_inplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2498530Z   test_meta_inplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2498714Z   test_meta_inplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499025Z   test_meta_inplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499211Z   test_meta_inplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499394Z   test_meta_inplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499573Z   test_meta_inplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499747Z   test_meta_inplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2499929Z   test_meta_inplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2500115Z   test_meta_inplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2500293Z   test_meta_inplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2500468Z   test_meta_inplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2500651Z   test_meta_inplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2500836Z   test_meta_inplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501005Z   test_meta_inplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501180Z   test_meta_inplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501380Z   test_meta_inplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501571Z   test_meta_inplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501768Z   test_meta_inplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2501959Z   test_meta_inplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2502182Z   test_meta_inplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2502362Z   test_meta_inplace_ones_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2502544Z   test_meta_inplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2502713Z   test_meta_inplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2502886Z   test_meta_inplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2503103Z   test_meta_inplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2503295Z   test_meta_inplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2503504Z   test_meta_inplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2503692Z   test_meta_inplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2503870Z   test_meta_inplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504049Z   test_meta_inplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504224Z   test_meta_inplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504388Z   test_meta_inplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504576Z   test_meta_inplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504755Z   test_meta_inplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2504944Z   test_meta_inplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2505133Z   test_meta_inplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2505319Z   test_meta_inplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2505502Z   test_meta_inplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2505682Z   test_meta_inplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2505857Z   test_meta_inplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506042Z   test_meta_inplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506213Z   test_meta_inplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506391Z   test_meta_inplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506572Z   test_meta_inplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506747Z   test_meta_inplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2506932Z   test_meta_inplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2507114Z   test_meta_inplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2507297Z   test_meta_inplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2507502Z   test_meta_inplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2507687Z   test_meta_inplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2507866Z   test_meta_inplace_outer_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508043Z   test_meta_inplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508225Z   test_meta_inplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508432Z   test_meta_inplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508611Z   test_meta_inplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508793Z   test_meta_inplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2508973Z   test_meta_inplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2509152Z   test_meta_inplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2509330Z   test_meta_inplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2509509Z   test_meta_inplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2509682Z   test_meta_inplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2509869Z   test_meta_inplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2510061Z   test_meta_inplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2510328Z   test_meta_inplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2510529Z   test_meta_inplace_permute_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2510716Z   test_meta_inplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2510903Z   test_meta_inplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511088Z   test_meta_inplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511272Z   test_meta_inplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511445Z   test_meta_inplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511621Z   test_meta_inplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511803Z   test_meta_inplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2511981Z   test_meta_inplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2512160Z   test_meta_inplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2512344Z   test_meta_inplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2512523Z   test_meta_inplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2512745Z   test_meta_inplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2512939Z   test_meta_inplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2513123Z   test_meta_inplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2513292Z   test_meta_inplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2513473Z   test_meta_inplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2513688Z   test_meta_inplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2513886Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2514054Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2514223Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2514389Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2514586Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2514777Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2514962Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2515150Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2515340Z   test_meta_inplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2515525Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2515689Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2515852Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2516014Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2516203Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2516398Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2516586Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2516769Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2516953Z   test_meta_inplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2517140Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2517305Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2517469Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2517632Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2517824Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518039Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518229Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518411Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518594Z   test_meta_inplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518781Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2518969Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2519133Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2519297Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2519488Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2519674Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2519859Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2520041Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2520227Z   test_meta_inplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2520414Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2520579Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2520740Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2520902Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2521086Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2521272Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2521458Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2521645Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2521829Z   test_meta_inplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2522018Z   test_meta_inplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2522206Z   test_meta_inplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2522396Z   test_meta_inplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2522577Z   test_meta_inplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2522768Z   test_meta_inplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2522950Z   test_meta_inplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2523152Z   test_meta_inplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2523337Z   test_meta_inplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2523519Z   test_meta_inplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2523694Z   test_meta_inplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2523878Z   test_meta_inplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2524115Z   test_meta_inplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2524272Z   test_meta_inplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2524424Z   test_meta_inplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2524571Z   test_meta_inplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2524719Z   test_meta_inplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2524863Z   test_meta_inplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525005Z   test_meta_inplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525147Z   test_meta_inplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525286Z   test_meta_inplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525420Z   test_meta_inplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525554Z   test_meta_inplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525691Z   test_meta_inplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2525834Z   test_meta_inplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2526017Z   test_meta_inplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2526197Z   test_meta_inplace_prod_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2526382Z   test_meta_inplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2526563Z   test_meta_inplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2526745Z   test_meta_inplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2526920Z   test_meta_inplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527104Z   test_meta_inplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527285Z   test_meta_inplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527465Z   test_meta_inplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527642Z   test_meta_inplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527819Z   test_meta_inplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2527994Z   test_meta_inplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2528169Z   test_meta_inplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2528316Z   test_meta_inplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2528473Z   test_meta_inplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2528624Z   test_meta_inplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2528770Z   test_meta_inplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2528911Z   test_meta_inplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529052Z   test_meta_inplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529191Z   test_meta_inplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529330Z   test_meta_inplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529492Z   test_meta_inplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529620Z   test_meta_inplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2529758Z   test_meta_inplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2529898Z   test_meta_inplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2530081Z   test_meta_inplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2530263Z   test_meta_inplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2530441Z   test_meta_inplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2530614Z   test_meta_inplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2530800Z   test_meta_inplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2530979Z   test_meta_inplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2531124Z   test_meta_inplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2531302Z   test_meta_inplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.007s)
2022-11-23T01:45:56.2531452Z   test_meta_inplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2531600Z   test_meta_inplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2531746Z   test_meta_inplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2531927Z   test_meta_inplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2532109Z   test_meta_inplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2532280Z   test_meta_inplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2532457Z   test_meta_inplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2532626Z   test_meta_inplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2532812Z   test_meta_inplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533004Z   test_meta_inplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533192Z   test_meta_inplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533384Z   test_meta_inplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533567Z   test_meta_inplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533766Z   test_meta_inplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2533942Z   test_meta_inplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2534126Z   test_meta_inplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2534301Z   test_meta_inplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2534477Z   test_meta_inplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2534679Z   test_meta_inplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2534862Z   test_meta_inplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535050Z   test_meta_inplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535232Z   test_meta_inplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535416Z   test_meta_inplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535596Z   test_meta_inplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535787Z   test_meta_inplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2535974Z   test_meta_inplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2536157Z   test_meta_inplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2536347Z   test_meta_inplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2536536Z   test_meta_inplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2536721Z   test_meta_inplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2536906Z   test_meta_inplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2537089Z   test_meta_inplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2537277Z   test_meta_inplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2537460Z   test_meta_inplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2537647Z   test_meta_inplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2537824Z   test_meta_inplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2538000Z   test_meta_inplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2538179Z   test_meta_inplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2538358Z   test_meta_inplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2538540Z   test_meta_inplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2538726Z   test_meta_inplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2539075Z   test_meta_inplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2539269Z   test_meta_inplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2539460Z   test_meta_inplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2539644Z   test_meta_inplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2539823Z   test_meta_inplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540033Z   test_meta_inplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540217Z   test_meta_inplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540404Z   test_meta_inplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540591Z   test_meta_inplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540774Z   test_meta_inplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2540952Z   test_meta_inplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2541131Z   test_meta_inplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2541312Z   test_meta_inplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2541483Z   test_meta_inplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2541666Z   test_meta_inplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2541847Z   test_meta_inplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542025Z   test_meta_inplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542203Z   test_meta_inplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542376Z   test_meta_inplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542556Z   test_meta_inplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542736Z   test_meta_inplace_real_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2542919Z   test_meta_inplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543104Z   test_meta_inplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543275Z   test_meta_inplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543456Z   test_meta_inplace_real_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543636Z   test_meta_inplace_real_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543816Z   test_meta_inplace_real_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2543995Z   test_meta_inplace_real_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2544171Z   test_meta_inplace_real_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2544375Z   test_meta_inplace_real_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2544553Z   test_meta_inplace_real_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2544725Z   test_meta_inplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2544875Z   test_meta_inplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2545059Z   test_meta_inplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2545243Z   test_meta_inplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2545400Z   test_meta_inplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2545552Z   test_meta_inplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2545704Z   test_meta_inplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2545851Z   test_meta_inplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2546033Z   test_meta_inplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2546205Z   test_meta_inplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2546383Z   test_meta_inplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2546560Z   test_meta_inplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2546740Z   test_meta_inplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2546894Z   test_meta_inplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547047Z   test_meta_inplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547194Z   test_meta_inplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547337Z   test_meta_inplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547486Z   test_meta_inplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547627Z   test_meta_inplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547775Z   test_meta_inplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2547929Z   test_meta_inplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2548073Z   test_meta_inplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2548217Z   test_meta_inplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2548371Z   test_meta_inplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2548520Z   test_meta_inplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2548665Z   test_meta_inplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2548802Z   test_meta_inplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2548948Z   test_meta_inplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2549136Z   test_meta_inplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2549328Z   test_meta_inplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2549518Z   test_meta_inplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2549728Z   test_meta_inplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2549913Z   test_meta_inplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2550091Z   test_meta_inplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2550339Z   test_meta_inplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2550533Z   test_meta_inplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2550770Z   test_meta_inplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2550952Z   test_meta_inplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2551131Z   test_meta_inplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2551311Z   test_meta_inplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2551511Z   test_meta_inplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2551704Z   test_meta_inplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2551904Z   test_meta_inplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2552106Z   test_meta_inplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2552303Z   test_meta_inplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2552496Z   test_meta_inplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2552691Z   test_meta_inplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2552881Z   test_meta_inplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2553077Z   test_meta_inplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2553268Z   test_meta_inplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2553458Z   test_meta_inplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2553650Z   test_meta_inplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2553840Z   test_meta_inplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554030Z   test_meta_inplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554217Z   test_meta_inplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554399Z   test_meta_inplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554587Z   test_meta_inplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554781Z   test_meta_inplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2554966Z   test_meta_inplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2555185Z   test_meta_inplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2555372Z   test_meta_inplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2555556Z   test_meta_inplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2555736Z   test_meta_inplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2555913Z   test_meta_inplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2556116Z   test_meta_inplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2556297Z   test_meta_inplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2556479Z   test_meta_inplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2556663Z   test_meta_inplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2556848Z   test_meta_inplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557035Z   test_meta_inplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557218Z   test_meta_inplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557402Z   test_meta_inplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557580Z   test_meta_inplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557760Z   test_meta_inplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2557933Z   test_meta_inplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2558111Z   test_meta_inplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2558294Z   test_meta_inplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2558476Z   test_meta_inplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2558656Z   test_meta_inplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2558806Z   test_meta_inplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2558956Z   test_meta_inplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559109Z   test_meta_inplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559260Z   test_meta_inplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559400Z   test_meta_inplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559546Z   test_meta_inplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559693Z   test_meta_inplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559843Z   test_meta_inplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2559990Z   test_meta_inplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560131Z   test_meta_inplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560273Z   test_meta_inplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560441Z   test_meta_inplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560588Z   test_meta_inplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560734Z   test_meta_inplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2560890Z   test_meta_inplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561044Z   test_meta_inplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561195Z   test_meta_inplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561361Z   test_meta_inplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561505Z   test_meta_inplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561648Z   test_meta_inplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561790Z   test_meta_inplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2561935Z   test_meta_inplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2562084Z   test_meta_inplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2562226Z   test_meta_inplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2562420Z   test_meta_inplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2562607Z   test_meta_inplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2562802Z   test_meta_inplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2562995Z   test_meta_inplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2563184Z   test_meta_inplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2563367Z   test_meta_inplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2563549Z   test_meta_inplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2563736Z   test_meta_inplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2563922Z   test_meta_inplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2564109Z   test_meta_inplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2564297Z   test_meta_inplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2564482Z   test_meta_inplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2564670Z   test_meta_inplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2564856Z   test_meta_inplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2565046Z   test_meta_inplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2565232Z   test_meta_inplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2565422Z   test_meta_inplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2565635Z   test_meta_inplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2565825Z   test_meta_inplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566011Z   test_meta_inplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566194Z   test_meta_inplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566374Z   test_meta_inplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566576Z   test_meta_inplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566757Z   test_meta_inplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2566928Z   test_meta_inplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2567107Z   test_meta_inplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2567287Z   test_meta_inplace_roll_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2567472Z   test_meta_inplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2567655Z   test_meta_inplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2567834Z   test_meta_inplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568016Z   test_meta_inplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568197Z   test_meta_inplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568375Z   test_meta_inplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568553Z   test_meta_inplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568725Z   test_meta_inplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2568903Z   test_meta_inplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569082Z   test_meta_inplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569258Z   test_meta_inplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569439Z   test_meta_inplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569614Z   test_meta_inplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569804Z   test_meta_inplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2569992Z   test_meta_inplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2570171Z   test_meta_inplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2570343Z   test_meta_inplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2570528Z   test_meta_inplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2570705Z   test_meta_inplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2570906Z   test_meta_inplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2571085Z   test_meta_inplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2571259Z   test_meta_inplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2571431Z   test_meta_inplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2571580Z   test_meta_inplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2571752Z   test_meta_inplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2571891Z   test_meta_inplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572037Z   test_meta_inplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572183Z   test_meta_inplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2572325Z   test_meta_inplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572467Z   test_meta_inplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572611Z   test_meta_inplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572748Z   test_meta_inplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2572907Z   test_meta_inplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573056Z   test_meta_inplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573216Z   test_meta_inplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573370Z   test_meta_inplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573530Z   test_meta_inplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573680Z   test_meta_inplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573829Z   test_meta_inplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2573982Z   test_meta_inplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2574145Z   test_meta_inplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2574306Z   test_meta_inplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2574462Z   test_meta_inplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2574618Z   test_meta_inplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2574764Z   test_meta_inplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2574945Z   test_meta_inplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2575094Z   test_meta_inplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575243Z   test_meta_inplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575392Z   test_meta_inplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575536Z   test_meta_inplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575672Z   test_meta_inplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575818Z   test_meta_inplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2575997Z   test_meta_inplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2576173Z   test_meta_inplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2576374Z   test_meta_inplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2576548Z   test_meta_inplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2576719Z   test_meta_inplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2576900Z   test_meta_inplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2577086Z   test_meta_inplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2577285Z   test_meta_inplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2577464Z   test_meta_inplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2577646Z   test_meta_inplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2577825Z   test_meta_inplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2578003Z   test_meta_inplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2578177Z   test_meta_inplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2578355Z   test_meta_inplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2578534Z   test_meta_inplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2578707Z   test_meta_inplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579006Z   test_meta_inplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579198Z   test_meta_inplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579393Z   test_meta_inplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579586Z   test_meta_inplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579778Z   test_meta_inplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2579968Z   test_meta_inplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2580157Z   test_meta_inplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2580346Z   test_meta_inplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2580533Z   test_meta_inplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2580719Z   test_meta_inplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2580896Z   test_meta_inplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2581081Z   test_meta_inplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2581265Z   test_meta_inplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2581421Z   test_meta_inplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2581609Z   test_meta_inplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2581768Z   test_meta_inplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2581926Z   test_meta_inplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582080Z   test_meta_inplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582227Z   test_meta_inplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582363Z   test_meta_inplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582541Z   test_meta_inplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582687Z   test_meta_inplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582829Z   test_meta_inplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2582978Z   test_meta_inplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2583126Z   test_meta_inplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2583273Z   test_meta_inplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2583418Z   test_meta_inplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2583562Z   test_meta_inplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2583714Z   test_meta_inplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2583861Z   test_meta_inplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2584009Z   test_meta_inplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2584154Z   test_meta_inplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2584304Z   test_meta_inplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2584447Z   test_meta_inplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2584592Z   test_meta_inplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2584727Z   test_meta_inplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2584867Z   test_meta_inplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2585031Z   test_meta_inplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2585197Z   test_meta_inplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2585359Z   test_meta_inplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2585515Z   test_meta_inplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2585673Z   test_meta_inplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2585830Z   test_meta_inplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2585981Z   test_meta_inplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586131Z   test_meta_inplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586289Z   test_meta_inplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586451Z   test_meta_inplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586612Z   test_meta_inplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586771Z   test_meta_inplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2586925Z   test_meta_inplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587109Z   test_meta_inplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587264Z   test_meta_inplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587406Z   test_meta_inplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587560Z   test_meta_inplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587715Z   test_meta_inplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2587877Z   test_meta_inplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588070Z   test_meta_inplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588226Z   test_meta_inplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588383Z   test_meta_inplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588536Z   test_meta_inplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588690Z   test_meta_inplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588833Z   test_meta_inplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2588989Z   test_meta_inplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.2589143Z   test_meta_inplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2589307Z   test_meta_inplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2589468Z   test_meta_inplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2589625Z   test_meta_inplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2589784Z   test_meta_inplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2589938Z   test_meta_inplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590082Z   test_meta_inplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590234Z   test_meta_inplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590471Z   test_meta_inplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590625Z   test_meta_inplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590785Z   test_meta_inplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2590944Z   test_meta_inplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2591104Z   test_meta_inplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2591261Z   test_meta_inplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2591412Z   test_meta_inplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2591558Z   test_meta_inplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2591713Z   test_meta_inplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2591864Z   test_meta_inplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.2592024Z   test_meta_inplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2592174Z   test_meta_inplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2592368Z   test_meta_inplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2592590Z   test_meta_inplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2592783Z   test_meta_inplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2592984Z   test_meta_inplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2593197Z   test_meta_inplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2593421Z   test_meta_inplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2593610Z   test_meta_inplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2593799Z   test_meta_inplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594002Z   test_meta_inplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594200Z   test_meta_inplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594392Z   test_meta_inplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594592Z   test_meta_inplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594796Z   test_meta_inplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2594988Z   test_meta_inplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2595173Z   test_meta_inplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2595362Z   test_meta_inplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2595551Z   test_meta_inplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2595733Z   test_meta_inplace_select_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2595919Z   test_meta_inplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596107Z   test_meta_inplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596288Z   test_meta_inplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596473Z   test_meta_inplace_select_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596647Z   test_meta_inplace_select_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596813Z   test_meta_inplace_select_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2596992Z   test_meta_inplace_select_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2597175Z   test_meta_inplace_select_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2597357Z   test_meta_inplace_select_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2597536Z   test_meta_inplace_select_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2597735Z   test_meta_inplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2597931Z   test_meta_inplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2598124Z   test_meta_inplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2598313Z   test_meta_inplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2598502Z   test_meta_inplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2598710Z   test_meta_inplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2598897Z   test_meta_inplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2599088Z   test_meta_inplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2599273Z   test_meta_inplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2599463Z   test_meta_inplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2599648Z   test_meta_inplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2599795Z   test_meta_inplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2599940Z   test_meta_inplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600088Z   test_meta_inplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600229Z   test_meta_inplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600377Z   test_meta_inplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600521Z   test_meta_inplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600664Z   test_meta_inplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600804Z   test_meta_inplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2600943Z   test_meta_inplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2601083Z   test_meta_inplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2601222Z   test_meta_inplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2601354Z   test_meta_inplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2601493Z   test_meta_inplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2601678Z   test_meta_inplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2601858Z   test_meta_inplace_short_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602046Z   test_meta_inplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602231Z   test_meta_inplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602411Z   test_meta_inplace_short_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602595Z   test_meta_inplace_short_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602777Z   test_meta_inplace_short_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2602975Z   test_meta_inplace_short_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2603160Z   test_meta_inplace_short_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2603337Z   test_meta_inplace_short_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2603512Z   test_meta_inplace_short_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2603685Z   test_meta_inplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2603837Z   test_meta_inplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604044Z   test_meta_inplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2604200Z   test_meta_inplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604355Z   test_meta_inplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604495Z   test_meta_inplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604645Z   test_meta_inplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604793Z   test_meta_inplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2604940Z   test_meta_inplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2605116Z   test_meta_inplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2605296Z   test_meta_inplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2605466Z   test_meta_inplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2605640Z   test_meta_inplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2605805Z   test_meta_inplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2605950Z   test_meta_inplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606092Z   test_meta_inplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606235Z   test_meta_inplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606378Z   test_meta_inplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606517Z   test_meta_inplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606662Z   test_meta_inplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606803Z   test_meta_inplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2606937Z   test_meta_inplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2607071Z   test_meta_inplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2607206Z   test_meta_inplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2607408Z   test_meta_inplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2607604Z   test_meta_inplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2607800Z   test_meta_inplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2608000Z   test_meta_inplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2608206Z   test_meta_inplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2608446Z   test_meta_inplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2608655Z   test_meta_inplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2608849Z   test_meta_inplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2609051Z   test_meta_inplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2609270Z   test_meta_inplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2609460Z   test_meta_inplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2609653Z   test_meta_inplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2609848Z   test_meta_inplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610041Z   test_meta_inplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610236Z   test_meta_inplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610432Z   test_meta_inplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610620Z   test_meta_inplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610793Z   test_meta_inplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2610978Z   test_meta_inplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2611157Z   test_meta_inplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2611334Z   test_meta_inplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2611516Z   test_meta_inplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2611697Z   test_meta_inplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2611881Z   test_meta_inplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2612057Z   test_meta_inplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2612236Z   test_meta_inplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2612381Z   test_meta_inplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2612549Z   test_meta_inplace_sin_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2612696Z   test_meta_inplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2612845Z   test_meta_inplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2612990Z   test_meta_inplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2613137Z   test_meta_inplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2613279Z   test_meta_inplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2613426Z   test_meta_inplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2613655Z   test_meta_inplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2613834Z   test_meta_inplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2614007Z   test_meta_inplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2614179Z   test_meta_inplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2614346Z   test_meta_inplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2614515Z   test_meta_inplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2614682Z   test_meta_inplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2614835Z   test_meta_inplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2614985Z   test_meta_inplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2615120Z   test_meta_inplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2615264Z   test_meta_inplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2615403Z   test_meta_inplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2615578Z   test_meta_inplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2615754Z   test_meta_inplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2615928Z   test_meta_inplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2616096Z   test_meta_inplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2616268Z   test_meta_inplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2616418Z   test_meta_inplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2616580Z   test_meta_inplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2616732Z   test_meta_inplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2616878Z   test_meta_inplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2617022Z   test_meta_inplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2617161Z   test_meta_inplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2617306Z   test_meta_inplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2617445Z   test_meta_inplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2617616Z   test_meta_inplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2617780Z   test_meta_inplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2617950Z   test_meta_inplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2618118Z   test_meta_inplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2618284Z   test_meta_inplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2618471Z   test_meta_inplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2618656Z   test_meta_inplace_slice_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2618953Z   test_meta_inplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2619181Z   test_meta_inplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2619363Z   test_meta_inplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2619535Z   test_meta_inplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2619718Z   test_meta_inplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2619898Z   test_meta_inplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2620105Z   test_meta_inplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2620284Z   test_meta_inplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2620466Z   test_meta_inplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2620644Z   test_meta_inplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2620820Z   test_meta_inplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621012Z   test_meta_inplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621198Z   test_meta_inplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621384Z   test_meta_inplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621570Z   test_meta_inplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621761Z   test_meta_inplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2621950Z   test_meta_inplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2622137Z   test_meta_inplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2622324Z   test_meta_inplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2622508Z   test_meta_inplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2622694Z   test_meta_inplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2622880Z   test_meta_inplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623063Z   test_meta_inplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623230Z   test_meta_inplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623403Z   test_meta_inplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623598Z   test_meta_inplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623793Z   test_meta_inplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2623997Z   test_meta_inplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2624193Z   test_meta_inplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2624411Z   test_meta_inplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2624608Z   test_meta_inplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2624804Z   test_meta_inplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2624987Z   test_meta_inplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2625210Z   test_meta_inplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2625396Z   test_meta_inplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2625589Z   test_meta_inplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2625773Z   test_meta_inplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2625954Z   test_meta_inplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2626136Z   test_meta_inplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2626316Z   test_meta_inplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2626498Z   test_meta_inplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2626676Z   test_meta_inplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2626850Z   test_meta_inplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627026Z   test_meta_inplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627204Z   test_meta_inplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627378Z   test_meta_inplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627583Z   test_meta_inplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627785Z   test_meta_inplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2627980Z   test_meta_inplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2628181Z   test_meta_inplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2628374Z   test_meta_inplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2628565Z   test_meta_inplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2628750Z   test_meta_inplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2628938Z   test_meta_inplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2629128Z   test_meta_inplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2629315Z   test_meta_inplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2629525Z   test_meta_inplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2629711Z   test_meta_inplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2629903Z   test_meta_inplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2630094Z   test_meta_inplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2630349Z   test_meta_inplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2630584Z   test_meta_inplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2630797Z   test_meta_inplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631005Z   test_meta_inplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631211Z   test_meta_inplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631394Z   test_meta_inplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631578Z   test_meta_inplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631769Z   test_meta_inplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2631964Z   test_meta_inplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2632150Z   test_meta_inplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2632336Z   test_meta_inplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2632509Z   test_meta_inplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2632694Z   test_meta_inplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2632875Z   test_meta_inplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633060Z   test_meta_inplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633246Z   test_meta_inplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633436Z   test_meta_inplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633618Z   test_meta_inplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633802Z   test_meta_inplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2633983Z   test_meta_inplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2634164Z   test_meta_inplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2634341Z   test_meta_inplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2634525Z   test_meta_inplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2634736Z   test_meta_inplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2634928Z   test_meta_inplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2635109Z   test_meta_inplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2635292Z   test_meta_inplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2635475Z   test_meta_inplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2635682Z   test_meta_inplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2635865Z   test_meta_inplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2636073Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2636275Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2636482Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2636687Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2636898Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2637105Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2637309Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2637509Z   test_meta_inplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2637715Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2637920Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2638125Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2638328Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2638529Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2638726Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2638926Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2639122Z   test_meta_inplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2639577Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2639919Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2640274Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2640608Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2640932Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2641254Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2641607Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2641923Z   test_meta_inplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2642244Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2642574Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2642901Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2643229Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2643552Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2643872Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2644192Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2644512Z   test_meta_inplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2644708Z   test_meta_inplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2644895Z   test_meta_inplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2645086Z   test_meta_inplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2645269Z   test_meta_inplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2645457Z   test_meta_inplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2645644Z   test_meta_inplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2645829Z   test_meta_inplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646022Z   test_meta_inplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646207Z   test_meta_inplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646417Z   test_meta_inplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646604Z   test_meta_inplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646794Z   test_meta_inplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2646976Z   test_meta_inplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2647166Z   test_meta_inplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2647376Z   test_meta_inplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2647563Z   test_meta_inplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2647751Z   test_meta_inplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2647932Z   test_meta_inplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2648137Z   test_meta_inplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2648342Z   test_meta_inplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2648547Z   test_meta_inplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2648756Z   test_meta_inplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2648955Z   test_meta_inplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2649155Z   test_meta_inplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2649354Z   test_meta_inplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2649555Z   test_meta_inplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2649759Z   test_meta_inplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2649967Z   test_meta_inplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2650176Z   test_meta_inplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2650382Z   test_meta_inplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2650584Z   test_meta_inplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2650785Z   test_meta_inplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2650985Z   test_meta_inplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2651179Z   test_meta_inplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2651369Z   test_meta_inplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2651577Z   test_meta_inplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2651763Z   test_meta_inplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2651950Z   test_meta_inplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2652134Z   test_meta_inplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2652319Z   test_meta_inplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2652527Z   test_meta_inplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2652702Z   test_meta_inplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2652882Z   test_meta_inplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2653059Z   test_meta_inplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2653265Z   test_meta_inplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2653478Z   test_meta_inplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2653669Z   test_meta_inplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2653855Z   test_meta_inplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654032Z   test_meta_inplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654209Z   test_meta_inplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654391Z   test_meta_inplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654564Z   test_meta_inplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654732Z   test_meta_inplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2654915Z   test_meta_inplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655102Z   test_meta_inplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655285Z   test_meta_inplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655465Z   test_meta_inplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655641Z   test_meta_inplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655825Z   test_meta_inplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2655999Z   test_meta_inplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2656203Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2656413Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2656638Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2656844Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2657049Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2657252Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2657454Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2657679Z   test_meta_inplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2658022Z   test_meta_inplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2658363Z   test_meta_inplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2658694Z   test_meta_inplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2659137Z   test_meta_inplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2659467Z   test_meta_inplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2659781Z   test_meta_inplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2660112Z   test_meta_inplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2660446Z   test_meta_inplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2660636Z   test_meta_inplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2660831Z   test_meta_inplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661026Z   test_meta_inplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661216Z   test_meta_inplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661408Z   test_meta_inplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661591Z   test_meta_inplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661780Z   test_meta_inplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2661962Z   test_meta_inplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2662164Z   test_meta_inplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2662366Z   test_meta_inplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2662614Z   test_meta_inplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2662815Z   test_meta_inplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2663010Z   test_meta_inplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2663208Z   test_meta_inplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2663404Z   test_meta_inplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2663635Z   test_meta_inplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2663827Z   test_meta_inplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664019Z   test_meta_inplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664218Z   test_meta_inplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664411Z   test_meta_inplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664603Z   test_meta_inplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664795Z   test_meta_inplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2664991Z   test_meta_inplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2665184Z   test_meta_inplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2665377Z   test_meta_inplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2665574Z   test_meta_inplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2665777Z   test_meta_inplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2665970Z   test_meta_inplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2666156Z   test_meta_inplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2666348Z   test_meta_inplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2666540Z   test_meta_inplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2666729Z   test_meta_inplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2666923Z   test_meta_inplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2667117Z   test_meta_inplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2667313Z   test_meta_inplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2667503Z   test_meta_inplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2667720Z   test_meta_inplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2667908Z   test_meta_inplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2668092Z   test_meta_inplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2668279Z   test_meta_inplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2668490Z   test_meta_inplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2668678Z   test_meta_inplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2668868Z   test_meta_inplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669055Z   test_meta_inplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669245Z   test_meta_inplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669428Z   test_meta_inplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669615Z   test_meta_inplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669802Z   test_meta_inplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2669982Z   test_meta_inplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2670170Z   test_meta_inplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2670429Z   test_meta_inplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2670638Z   test_meta_inplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2670826Z   test_meta_inplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671014Z   test_meta_inplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671205Z   test_meta_inplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671391Z   test_meta_inplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671577Z   test_meta_inplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671753Z   test_meta_inplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2671969Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2672187Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2672397Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2672604Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2672843Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2673059Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2673273Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2673482Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2673760Z   test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2673971Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2674175Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2674383Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2674588Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2674791Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2674993Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2675195Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2675395Z   test_meta_inplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2675594Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2675798Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2676001Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2676209Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2676410Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2676612Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2676820Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2677018Z   test_meta_inplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2677377Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2677732Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2678110Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2678456Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2678799Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2679140Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2679506Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2679842Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2680171Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2680511Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2680852Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2681189Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2681533Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2681878Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2682221Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2682557Z   test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2682892Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2683268Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2683640Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2683974Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2684313Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2684638Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2684973Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2685330Z   test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2685663Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2686004Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2686345Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2686697Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2687037Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2687367Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2687699Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2688032Z   test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.2688239Z   test_meta_inplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2688437Z   test_meta_inplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2688643Z   test_meta_inplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2688845Z   test_meta_inplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2689039Z   test_meta_inplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2689233Z   test_meta_inplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2689437Z   test_meta_inplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2689627Z   test_meta_inplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2689824Z   test_meta_inplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690018Z   test_meta_inplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690211Z   test_meta_inplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690404Z   test_meta_inplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690582Z   test_meta_inplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690773Z   test_meta_inplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2690983Z   test_meta_inplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2691171Z   test_meta_inplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2691360Z   test_meta_inplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2691544Z   test_meta_inplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2691731Z   test_meta_inplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2691944Z   test_meta_inplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2692130Z   test_meta_inplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2692312Z   test_meta_inplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2692499Z   test_meta_inplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2692687Z   test_meta_inplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2692870Z   test_meta_inplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693053Z   test_meta_inplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693239Z   test_meta_inplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693422Z   test_meta_inplace_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693609Z   test_meta_inplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693794Z   test_meta_inplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2693978Z   test_meta_inplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2694150Z   test_meta_inplace_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2694334Z   test_meta_inplace_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2694515Z   test_meta_inplace_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2694695Z   test_meta_inplace_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2694875Z   test_meta_inplace_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695053Z   test_meta_inplace_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695232Z   test_meta_inplace_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695409Z   test_meta_inplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695601Z   test_meta_inplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695787Z   test_meta_inplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2695983Z   test_meta_inplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2696201Z   test_meta_inplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2696392Z   test_meta_inplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2696582Z   test_meta_inplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2696767Z   test_meta_inplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2696952Z   test_meta_inplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2697163Z   test_meta_inplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2697349Z   test_meta_inplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2697538Z   test_meta_inplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2697714Z   test_meta_inplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2697908Z   test_meta_inplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2698095Z   test_meta_inplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2698292Z   test_meta_inplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2698491Z   test_meta_inplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2698685Z   test_meta_inplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699011Z   test_meta_inplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699201Z   test_meta_inplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699388Z   test_meta_inplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699577Z   test_meta_inplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699758Z   test_meta_inplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2699943Z   test_meta_inplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2700136Z   test_meta_inplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2700326Z   test_meta_inplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2700474Z   test_meta_inplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2700647Z   test_meta_inplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2700798Z   test_meta_inplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2700946Z   test_meta_inplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2701097Z   test_meta_inplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2701232Z   test_meta_inplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2701375Z   test_meta_inplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2701553Z   test_meta_inplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2701729Z   test_meta_inplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2701904Z   test_meta_inplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2702076Z   test_meta_inplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2702250Z   test_meta_inplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2702417Z   test_meta_inplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2702596Z   test_meta_inplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2702772Z   test_meta_inplace_square_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2702927Z   test_meta_inplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703081Z   test_meta_inplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703227Z   test_meta_inplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703372Z   test_meta_inplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703516Z   test_meta_inplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703659Z   test_meta_inplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703803Z   test_meta_inplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2703938Z   test_meta_inplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2704081Z   test_meta_inplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2704221Z   test_meta_inplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2704373Z   test_meta_inplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2704514Z   test_meta_inplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2704666Z   test_meta_inplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2704816Z   test_meta_inplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2704962Z   test_meta_inplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705101Z   test_meta_inplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705251Z   test_meta_inplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705398Z   test_meta_inplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705541Z   test_meta_inplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705687Z   test_meta_inplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705830Z   test_meta_inplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2705971Z   test_meta_inplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2706111Z   test_meta_inplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2706288Z   test_meta_inplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2706467Z   test_meta_inplace_stack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2706658Z   test_meta_inplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2706842Z   test_meta_inplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707047Z   test_meta_inplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707229Z   test_meta_inplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707414Z   test_meta_inplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707596Z   test_meta_inplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707774Z   test_meta_inplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2707967Z   test_meta_inplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2708145Z   test_meta_inplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2708327Z   test_meta_inplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2708503Z   test_meta_inplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2708692Z   test_meta_inplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2708877Z   test_meta_inplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709055Z   test_meta_inplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709241Z   test_meta_inplace_std_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709414Z   test_meta_inplace_std_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709591Z   test_meta_inplace_std_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709771Z   test_meta_inplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2709960Z   test_meta_inplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2710146Z   test_meta_inplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2710392Z   test_meta_inplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2710575Z   test_meta_inplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2710751Z   test_meta_inplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2710936Z   test_meta_inplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2711119Z   test_meta_inplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2711298Z   test_meta_inplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2711470Z   test_meta_inplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2711621Z   test_meta_inplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2711770Z   test_meta_inplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2711919Z   test_meta_inplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712070Z   test_meta_inplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712213Z   test_meta_inplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712386Z   test_meta_inplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712526Z   test_meta_inplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712658Z   test_meta_inplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712796Z   test_meta_inplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2712929Z   test_meta_inplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2713067Z   test_meta_inplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2713207Z   test_meta_inplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2713418Z   test_meta_inplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2713600Z   test_meta_inplace_sum_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2713788Z   test_meta_inplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2713969Z   test_meta_inplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2714142Z   test_meta_inplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2714322Z   test_meta_inplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2714498Z   test_meta_inplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2714675Z   test_meta_inplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2714851Z   test_meta_inplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715028Z   test_meta_inplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715198Z   test_meta_inplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715372Z   test_meta_inplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715541Z   test_meta_inplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715720Z   test_meta_inplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2715913Z   test_meta_inplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2716102Z   test_meta_inplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2716290Z   test_meta_inplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2716475Z   test_meta_inplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2716660Z   test_meta_inplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2716844Z   test_meta_inplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717026Z   test_meta_inplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717206Z   test_meta_inplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717380Z   test_meta_inplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717581Z   test_meta_inplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717759Z   test_meta_inplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2717942Z   test_meta_inplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2718122Z   test_meta_inplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2718300Z   test_meta_inplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2718499Z   test_meta_inplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2718685Z   test_meta_inplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2718874Z   test_meta_inplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2719062Z   test_meta_inplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2719239Z   test_meta_inplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2719423Z   test_meta_inplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2719601Z   test_meta_inplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2719748Z   test_meta_inplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2719888Z   test_meta_inplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720035Z   test_meta_inplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720181Z   test_meta_inplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720320Z   test_meta_inplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720457Z   test_meta_inplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720583Z   test_meta_inplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720722Z   test_meta_inplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2720862Z   test_meta_inplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2721000Z   test_meta_inplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2721144Z   test_meta_inplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2721277Z   test_meta_inplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2721471Z   test_meta_inplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2721660Z   test_meta_inplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2721847Z   test_meta_inplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2722042Z   test_meta_inplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2722232Z   test_meta_inplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2722423Z   test_meta_inplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2722609Z   test_meta_inplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2722817Z   test_meta_inplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723008Z   test_meta_inplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723194Z   test_meta_inplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723384Z   test_meta_inplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723565Z   test_meta_inplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723766Z   test_meta_inplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2723946Z   test_meta_inplace_take_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2724132Z   test_meta_inplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2724314Z   test_meta_inplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2724493Z   test_meta_inplace_take_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2724674Z   test_meta_inplace_take_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2724853Z   test_meta_inplace_take_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725031Z   test_meta_inplace_take_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725210Z   test_meta_inplace_take_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725380Z   test_meta_inplace_take_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725561Z   test_meta_inplace_take_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725733Z   test_meta_inplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2725879Z   test_meta_inplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726052Z   test_meta_inplace_tan_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2726202Z   test_meta_inplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726351Z   test_meta_inplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726498Z   test_meta_inplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726642Z   test_meta_inplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726780Z   test_meta_inplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2726920Z   test_meta_inplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2727094Z   test_meta_inplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2727267Z   test_meta_inplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2727431Z   test_meta_inplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2727605Z   test_meta_inplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2727780Z   test_meta_inplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2727926Z   test_meta_inplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728086Z   test_meta_inplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2728262Z   test_meta_inplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728412Z   test_meta_inplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728559Z   test_meta_inplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728701Z   test_meta_inplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728843Z   test_meta_inplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2728982Z   test_meta_inplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2729178Z   test_meta_inplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2729344Z   test_meta_inplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2729519Z   test_meta_inplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2729691Z   test_meta_inplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2729859Z   test_meta_inplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2730050Z   test_meta_inplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2730242Z   test_meta_inplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2730435Z   test_meta_inplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2730624Z   test_meta_inplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2730812Z   test_meta_inplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2730999Z   test_meta_inplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2731177Z   test_meta_inplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2731364Z   test_meta_inplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2731549Z   test_meta_inplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2731736Z   test_meta_inplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2731918Z   test_meta_inplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2732107Z   test_meta_inplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2732291Z   test_meta_inplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2732483Z   test_meta_inplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2732671Z   test_meta_inplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2732846Z   test_meta_inplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733025Z   test_meta_inplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733200Z   test_meta_inplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733405Z   test_meta_inplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733587Z   test_meta_inplace_tile_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733773Z   test_meta_inplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2733956Z   test_meta_inplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2734136Z   test_meta_inplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2734339Z   test_meta_inplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2734519Z   test_meta_inplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2734691Z   test_meta_inplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2734870Z   test_meta_inplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735046Z   test_meta_inplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735222Z   test_meta_inplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735397Z   test_meta_inplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735577Z   test_meta_inplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735760Z   test_meta_inplace_to_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2735942Z   test_meta_inplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736126Z   test_meta_inplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736293Z   test_meta_inplace_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736465Z   test_meta_inplace_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736642Z   test_meta_inplace_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736818Z   test_meta_inplace_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2736995Z   test_meta_inplace_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2737164Z   test_meta_inplace_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2737341Z   test_meta_inplace_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2737507Z   test_meta_inplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2737694Z   test_meta_inplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2737870Z   test_meta_inplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2738062Z   test_meta_inplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2738254Z   test_meta_inplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2738440Z   test_meta_inplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2738645Z   test_meta_inplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2738931Z   test_meta_inplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2739115Z   test_meta_inplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2739294Z   test_meta_inplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2739470Z   test_meta_inplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2739721Z   test_meta_inplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2739907Z   test_meta_inplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2740108Z   test_meta_inplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2740305Z   test_meta_inplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2740501Z   test_meta_inplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2740697Z   test_meta_inplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2740890Z   test_meta_inplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2741086Z   test_meta_inplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2741278Z   test_meta_inplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2741473Z   test_meta_inplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2741655Z   test_meta_inplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2741854Z   test_meta_inplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2742046Z   test_meta_inplace_trace_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2742252Z   test_meta_inplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2742452Z   test_meta_inplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2742650Z   test_meta_inplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2742847Z   test_meta_inplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2743049Z   test_meta_inplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2743247Z   test_meta_inplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2743446Z   test_meta_inplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2743633Z   test_meta_inplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2743828Z   test_meta_inplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2744021Z   test_meta_inplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2744213Z   test_meta_inplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2744410Z   test_meta_inplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2744573Z   test_meta_inplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2744742Z   test_meta_inplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2744909Z   test_meta_inplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745063Z   test_meta_inplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745226Z   test_meta_inplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745406Z   test_meta_inplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745561Z   test_meta_inplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745721Z   test_meta_inplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2745883Z   test_meta_inplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2746039Z   test_meta_inplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2746196Z   test_meta_inplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2746354Z   test_meta_inplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2746555Z   test_meta_inplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2746765Z   test_meta_inplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2746978Z   test_meta_inplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2747182Z   test_meta_inplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2747384Z   test_meta_inplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2747580Z   test_meta_inplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2747780Z   test_meta_inplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2747974Z   test_meta_inplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2748167Z   test_meta_inplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2748360Z   test_meta_inplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2748558Z   test_meta_inplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2748758Z   test_meta_inplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2748959Z   test_meta_inplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2749158Z   test_meta_inplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2749354Z   test_meta_inplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2749551Z   test_meta_inplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2749751Z   test_meta_inplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2749945Z   test_meta_inplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2750156Z   test_meta_inplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2750426Z   test_meta_inplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2750612Z   test_meta_inplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2750788Z   test_meta_inplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2750986Z   test_meta_inplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2751211Z   test_meta_inplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2751404Z   test_meta_inplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2751596Z   test_meta_inplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2751736Z   test_meta_inplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2751886Z   test_meta_inplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752026Z   test_meta_inplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752172Z   test_meta_inplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752316Z   test_meta_inplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752463Z   test_meta_inplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752601Z   test_meta_inplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752742Z   test_meta_inplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2752885Z   test_meta_inplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2753021Z   test_meta_inplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2753153Z   test_meta_inplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2753286Z   test_meta_inplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2753475Z   test_meta_inplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2753661Z   test_meta_inplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2753804Z   test_meta_inplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2753952Z   test_meta_inplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2754098Z   test_meta_inplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2754246Z   test_meta_inplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2754380Z   test_meta_inplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2754523Z   test_meta_inplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2754662Z   test_meta_inplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2754800Z   test_meta_inplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2754939Z   test_meta_inplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2755074Z   test_meta_inplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2755215Z   test_meta_inplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2755349Z   test_meta_inplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2755549Z   test_meta_inplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2755733Z   test_meta_inplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2755888Z   test_meta_inplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756071Z   test_meta_inplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2756225Z   test_meta_inplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756380Z   test_meta_inplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756556Z   test_meta_inplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756709Z   test_meta_inplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756857Z   test_meta_inplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2756996Z   test_meta_inplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2757178Z   test_meta_inplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2757359Z   test_meta_inplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2757538Z   test_meta_inplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2757718Z   test_meta_inplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2757897Z   test_meta_inplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.2758045Z   test_meta_inplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758191Z   test_meta_inplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758338Z   test_meta_inplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758476Z   test_meta_inplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758619Z   test_meta_inplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758763Z   test_meta_inplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2758903Z   test_meta_inplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2759042Z   test_meta_inplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2759183Z   test_meta_inplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2759370Z   test_meta_inplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2759550Z   test_meta_inplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2759731Z   test_meta_inplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2759920Z   test_meta_inplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2760103Z   test_meta_inplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2760287Z   test_meta_inplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2760464Z   test_meta_inplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2760639Z   test_meta_inplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2760820Z   test_meta_inplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761068Z   test_meta_inplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761249Z   test_meta_inplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761419Z   test_meta_inplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761596Z   test_meta_inplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761784Z   test_meta_inplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2761986Z   test_meta_inplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2762175Z   test_meta_inplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2762368Z   test_meta_inplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2762557Z   test_meta_inplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2762742Z   test_meta_inplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2762922Z   test_meta_inplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2763100Z   test_meta_inplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2763279Z   test_meta_inplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2763457Z   test_meta_inplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2763637Z   test_meta_inplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2763818Z   test_meta_inplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764001Z   test_meta_inplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764188Z   test_meta_inplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764373Z   test_meta_inplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764571Z   test_meta_inplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764761Z   test_meta_inplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2764944Z   test_meta_inplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2765132Z   test_meta_inplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2765318Z   test_meta_inplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2765502Z   test_meta_inplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2765685Z   test_meta_inplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2765865Z   test_meta_inplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766040Z   test_meta_inplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766247Z   test_meta_inplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766426Z   test_meta_inplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766606Z   test_meta_inplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766779Z   test_meta_inplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2766964Z   test_meta_inplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2767171Z   test_meta_inplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2767350Z   test_meta_inplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2767533Z   test_meta_inplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2767711Z   test_meta_inplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2767883Z   test_meta_inplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768063Z   test_meta_inplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768241Z   test_meta_inplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768415Z   test_meta_inplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768593Z   test_meta_inplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768771Z   test_meta_inplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2768922Z   test_meta_inplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769076Z   test_meta_inplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769230Z   test_meta_inplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769377Z   test_meta_inplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769523Z   test_meta_inplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769672Z   test_meta_inplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2769860Z   test_meta_inplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2770058Z   test_meta_inplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2770255Z   test_meta_inplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2770448Z   test_meta_inplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2770641Z   test_meta_inplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2770838Z   test_meta_inplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771030Z   test_meta_inplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771222Z   test_meta_inplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771434Z   test_meta_inplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771616Z   test_meta_inplace_unique_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771789Z   test_meta_inplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2771963Z   test_meta_inplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2772138Z   test_meta_inplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2772339Z   test_meta_inplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2772518Z   test_meta_inplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2772700Z   test_meta_inplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2772882Z   test_meta_inplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2773058Z   test_meta_inplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2773209Z   test_meta_inplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2773352Z   test_meta_inplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2773509Z   test_meta_inplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2773668Z   test_meta_inplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2773816Z   test_meta_inplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2773970Z   test_meta_inplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774116Z   test_meta_inplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774259Z   test_meta_inplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774406Z   test_meta_inplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774547Z   test_meta_inplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774693Z   test_meta_inplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774837Z   test_meta_inplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2774983Z   test_meta_inplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2775164Z   test_meta_inplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2775354Z   test_meta_inplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2775536Z   test_meta_inplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2775717Z   test_meta_inplace_var_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2775896Z   test_meta_inplace_var_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2776064Z   test_meta_inplace_var_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2776253Z   test_meta_inplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2776443Z   test_meta_inplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2776655Z   test_meta_inplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2776842Z   test_meta_inplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777021Z   test_meta_inplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777204Z   test_meta_inplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777384Z   test_meta_inplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777600Z   test_meta_inplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777775Z   test_meta_inplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2777956Z   test_meta_inplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2778133Z   test_meta_inplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2778313Z   test_meta_inplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2778502Z   test_meta_inplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2778690Z   test_meta_inplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779057Z   test_meta_inplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779244Z   test_meta_inplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779425Z   test_meta_inplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779615Z   test_meta_inplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779791Z   test_meta_inplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2779970Z   test_meta_inplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2780150Z   test_meta_inplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2780329Z   test_meta_inplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2780501Z   test_meta_inplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2780681Z   test_meta_inplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2780861Z   test_meta_inplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2781040Z   test_meta_inplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2781218Z   test_meta_inplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2781385Z   test_meta_inplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2781583Z   test_meta_inplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2781774Z   test_meta_inplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782004Z   test_meta_inplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782189Z   test_meta_inplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782372Z   test_meta_inplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782550Z   test_meta_inplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782726Z   test_meta_inplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2782947Z   test_meta_inplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2783125Z   test_meta_inplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2783295Z   test_meta_inplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2783473Z   test_meta_inplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2783653Z   test_meta_inplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2783834Z   test_meta_inplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784011Z   test_meta_inplace_view_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784193Z   test_meta_inplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784374Z   test_meta_inplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784555Z   test_meta_inplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784733Z   test_meta_inplace_view_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2784904Z   test_meta_inplace_view_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785084Z   test_meta_inplace_view_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785263Z   test_meta_inplace_view_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785440Z   test_meta_inplace_view_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785620Z   test_meta_inplace_view_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785793Z   test_meta_inplace_view_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2785966Z   test_meta_inplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2786146Z   test_meta_inplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2786328Z   test_meta_inplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2786515Z   test_meta_inplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2786695Z   test_meta_inplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2786878Z   test_meta_inplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787060Z   test_meta_inplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787263Z   test_meta_inplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787441Z   test_meta_inplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787620Z   test_meta_inplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787797Z   test_meta_inplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2787977Z   test_meta_inplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2788176Z   test_meta_inplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2788344Z   test_meta_inplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2788531Z   test_meta_inplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2788710Z   test_meta_inplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2788896Z   test_meta_inplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789080Z   test_meta_inplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789259Z   test_meta_inplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789441Z   test_meta_inplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789619Z   test_meta_inplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789796Z   test_meta_inplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2789972Z   test_meta_inplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2790142Z   test_meta_inplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2790390Z   test_meta_inplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2790567Z   test_meta_inplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2790746Z   test_meta_inplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2790930Z   test_meta_inplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2791114Z   test_meta_inplace_where_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2791299Z   test_meta_inplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2791482Z   test_meta_inplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2791662Z   test_meta_inplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2791836Z   test_meta_inplace_where_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792017Z   test_meta_inplace_where_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792197Z   test_meta_inplace_where_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792401Z   test_meta_inplace_where_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792582Z   test_meta_inplace_where_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792757Z   test_meta_inplace_where_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2792937Z   test_meta_inplace_where_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2793109Z   test_meta_inplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2793260Z   test_meta_inplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2793452Z   test_meta_inplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2793599Z   test_meta_inplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2793744Z   test_meta_inplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2793890Z   test_meta_inplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2794065Z   test_meta_inplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2794240Z   test_meta_inplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2794412Z   test_meta_inplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2794587Z   test_meta_inplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2794759Z   test_meta_inplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.005s)
2022-11-23T01:45:56.2794899Z   test_meta_inplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795044Z   test_meta_inplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795197Z   test_meta_inplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795345Z   test_meta_inplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795487Z   test_meta_inplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795627Z   test_meta_inplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795772Z   test_meta_inplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2795914Z   test_meta_inplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2796049Z   test_meta_inplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2796185Z   test_meta_inplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2796324Z   test_meta_inplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2796461Z   test_meta_inplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2796643Z   test_meta_inplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2796822Z   test_meta_inplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797008Z   test_meta_inplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797192Z   test_meta_inplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797373Z   test_meta_inplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797546Z   test_meta_inplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797751Z   test_meta_inplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2797934Z   test_meta_inplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2798110Z   test_meta_inplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2798292Z   test_meta_inplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2798471Z   test_meta_inplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2798650Z   test_meta_inplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2798845Z   test_meta_inplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799034Z   test_meta_inplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799211Z   test_meta_inplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799399Z   test_meta_inplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799593Z   test_meta_inplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799780Z   test_meta_inplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2799964Z   test_meta_inplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2800150Z   test_meta_inplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2800338Z   test_meta_inplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2800523Z   test_meta_inplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2800698Z   test_meta_inplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2800872Z   test_meta_inplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2801046Z   test_meta_inplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2801221Z   test_meta_inplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:45:56.2801367Z   test_meta_outplace_H_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2801508Z   test_meta_outplace_H_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2801658Z   test_meta_outplace_H_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2801803Z   test_meta_outplace_H_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2801950Z   test_meta_outplace_H_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802089Z   test_meta_outplace_H_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802221Z   test_meta_outplace_H_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802356Z   test_meta_outplace_H_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802494Z   test_meta_outplace_H_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802636Z   test_meta_outplace_H_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802773Z   test_meta_outplace_H_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2802913Z   test_meta_outplace_H_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803075Z   test_meta_outplace_H_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803221Z   test_meta_outplace_T_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803350Z   test_meta_outplace_T_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803499Z   test_meta_outplace_T_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803644Z   test_meta_outplace_T_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803786Z   test_meta_outplace_T_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2803924Z   test_meta_outplace_T_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804084Z   test_meta_outplace_T_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804225Z   test_meta_outplace_T_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804361Z   test_meta_outplace_T_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804495Z   test_meta_outplace_T_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804627Z   test_meta_outplace_T_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804766Z   test_meta_outplace_T_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2804900Z   test_meta_outplace_T_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2805057Z   test_meta_outplace___getitem___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805210Z   test_meta_outplace___getitem___cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805369Z   test_meta_outplace___getitem___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805523Z   test_meta_outplace___getitem___cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805669Z   test_meta_outplace___getitem___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805821Z   test_meta_outplace___getitem___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2805968Z   test_meta_outplace___getitem___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806111Z   test_meta_outplace___getitem___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806259Z   test_meta_outplace___getitem___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806403Z   test_meta_outplace___getitem___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806545Z   test_meta_outplace___getitem___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806696Z   test_meta_outplace___getitem___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806830Z   test_meta_outplace___getitem___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2806972Z   test_meta_outplace___radd___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2807120Z   test_meta_outplace___radd___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2807270Z   test_meta_outplace___radd___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2807421Z   test_meta_outplace___radd___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2807565Z   test_meta_outplace___radd___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2807706Z   test_meta_outplace___radd___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2807849Z   test_meta_outplace___radd___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2807995Z   test_meta_outplace___radd___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808133Z   test_meta_outplace___radd___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808277Z   test_meta_outplace___radd___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808444Z   test_meta_outplace___radd___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808587Z   test_meta_outplace___radd___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808731Z   test_meta_outplace___rand___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2808871Z   test_meta_outplace___rand___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2809012Z   test_meta_outplace___rand___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2809152Z   test_meta_outplace___rand___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2809284Z   test_meta_outplace___rand___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2809450Z   test_meta_outplace___rand___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2809600Z   test_meta_outplace___rdiv___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2809742Z   test_meta_outplace___rdiv___cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2809902Z   test_meta_outplace___rdiv___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2810053Z   test_meta_outplace___rdiv___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2810199Z   test_meta_outplace___rdiv___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2810342Z   test_meta_outplace___rdiv___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2810475Z   test_meta_outplace___rdiv___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2810616Z   test_meta_outplace___rdiv___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2810761Z   test_meta_outplace___rdiv___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2810902Z   test_meta_outplace___rdiv___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2811040Z   test_meta_outplace___rdiv___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2811184Z   test_meta_outplace___rdiv___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2811336Z   test_meta_outplace___rmatmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2811493Z   test_meta_outplace___rmatmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2811639Z   test_meta_outplace___rmatmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2811790Z   test_meta_outplace___rmatmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2811936Z   test_meta_outplace___rmatmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2812083Z   test_meta_outplace___rmatmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2812231Z   test_meta_outplace___rmod___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2812378Z   test_meta_outplace___rmod___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2812522Z   test_meta_outplace___rmod___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2812664Z   test_meta_outplace___rmod___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2812796Z   test_meta_outplace___rmod___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2812939Z   test_meta_outplace___rmod___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813081Z   test_meta_outplace___rmod___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813222Z   test_meta_outplace___rmod___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813364Z   test_meta_outplace___rmod___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813513Z   test_meta_outplace___rmul___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2813655Z   test_meta_outplace___rmul___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813827Z   test_meta_outplace___rmul___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2813978Z   test_meta_outplace___rmul___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814113Z   test_meta_outplace___rmul___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2814254Z   test_meta_outplace___rmul___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814395Z   test_meta_outplace___rmul___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814536Z   test_meta_outplace___rmul___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814713Z   test_meta_outplace___rmul___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814852Z   test_meta_outplace___rmul___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2814991Z   test_meta_outplace___rmul___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815133Z   test_meta_outplace___rmul___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815269Z   test_meta_outplace___ror___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815410Z   test_meta_outplace___ror___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815548Z   test_meta_outplace___ror___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815690Z   test_meta_outplace___ror___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815829Z   test_meta_outplace___ror___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2815969Z   test_meta_outplace___ror___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2816121Z   test_meta_outplace___rpow___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2816273Z   test_meta_outplace___rpow___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2816418Z   test_meta_outplace___rpow___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2816565Z   test_meta_outplace___rpow___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2816708Z   test_meta_outplace___rpow___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2816848Z   test_meta_outplace___rpow___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2816991Z   test_meta_outplace___rpow___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817132Z   test_meta_outplace___rpow___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817273Z   test_meta_outplace___rpow___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817416Z   test_meta_outplace___rpow___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817549Z   test_meta_outplace___rpow___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817696Z   test_meta_outplace___rsub___cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2817847Z   test_meta_outplace___rsub___cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2817996Z   test_meta_outplace___rsub___cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2818139Z   test_meta_outplace___rsub___cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2818281Z   test_meta_outplace___rsub___cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2818421Z   test_meta_outplace___rsub___cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2818560Z   test_meta_outplace___rsub___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2818694Z   test_meta_outplace___rsub___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819000Z   test_meta_outplace___rsub___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819195Z   test_meta_outplace___rsub___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819430Z   test_meta_outplace___rsub___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819578Z   test_meta_outplace___rxor___cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819719Z   test_meta_outplace___rxor___cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819859Z   test_meta_outplace___rxor___cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2819999Z   test_meta_outplace___rxor___cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2820130Z   test_meta_outplace___rxor___cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2820298Z   test_meta_outplace___rxor___cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2820472Z   test_meta_outplace__softmax_backward_data_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2820643Z   test_meta_outplace__softmax_backward_data_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2820812Z   test_meta_outplace__softmax_backward_data_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2820978Z   test_meta_outplace__softmax_backward_data_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2821125Z   test_meta_outplace_abs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821266Z   test_meta_outplace_abs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821411Z   test_meta_outplace_abs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821549Z   test_meta_outplace_abs_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821700Z   test_meta_outplace_abs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821844Z   test_meta_outplace_abs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2821988Z   test_meta_outplace_abs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822134Z   test_meta_outplace_abs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822274Z   test_meta_outplace_abs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822414Z   test_meta_outplace_abs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822551Z   test_meta_outplace_abs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822684Z   test_meta_outplace_abs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822818Z   test_meta_outplace_abs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2822964Z   test_meta_outplace_acos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823104Z   test_meta_outplace_acos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823254Z   test_meta_outplace_acos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823400Z   test_meta_outplace_acos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823548Z   test_meta_outplace_acos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823692Z   test_meta_outplace_acos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823828Z   test_meta_outplace_acos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2823971Z   test_meta_outplace_acos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824114Z   test_meta_outplace_acos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824254Z   test_meta_outplace_acos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824396Z   test_meta_outplace_acos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824534Z   test_meta_outplace_acos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824672Z   test_meta_outplace_acos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824845Z   test_meta_outplace_acosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2824982Z   test_meta_outplace_acosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825133Z   test_meta_outplace_acosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825286Z   test_meta_outplace_acosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825434Z   test_meta_outplace_acosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825578Z   test_meta_outplace_acosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825721Z   test_meta_outplace_acosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2825891Z   test_meta_outplace_acosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826033Z   test_meta_outplace_acosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826168Z   test_meta_outplace_acosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826311Z   test_meta_outplace_acosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826451Z   test_meta_outplace_acosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826590Z   test_meta_outplace_acosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2826732Z   test_meta_outplace_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2826874Z   test_meta_outplace_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2827023Z   test_meta_outplace_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2827170Z   test_meta_outplace_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2827307Z   test_meta_outplace_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2827445Z   test_meta_outplace_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2827591Z   test_meta_outplace_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2827729Z   test_meta_outplace_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2827866Z   test_meta_outplace_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2828004Z   test_meta_outplace_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2828139Z   test_meta_outplace_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2828278Z   test_meta_outplace_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2828405Z   test_meta_outplace_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2828557Z   test_meta_outplace_addbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2828710Z   test_meta_outplace_addbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2828861Z   test_meta_outplace_addbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2829007Z   test_meta_outplace_addbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2829153Z   test_meta_outplace_addbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2829300Z   test_meta_outplace_addbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2829451Z   test_meta_outplace_addcdiv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.2829597Z   test_meta_outplace_addcdiv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2829748Z   test_meta_outplace_addcdiv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2829894Z   test_meta_outplace_addcdiv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.2830044Z   test_meta_outplace_addcdiv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2830190Z   test_meta_outplace_addcdiv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2830461Z   test_meta_outplace_addcmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.2830621Z   test_meta_outplace_addcmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2830777Z   test_meta_outplace_addcmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2830913Z   test_meta_outplace_addcmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.2831058Z   test_meta_outplace_addcmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2831203Z   test_meta_outplace_addcmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2831373Z   test_meta_outplace_addcmul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2831517Z   test_meta_outplace_addcmul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2831661Z   test_meta_outplace_addcmul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2831808Z   test_meta_outplace_addcmul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2831952Z   test_meta_outplace_addcmul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2832097Z   test_meta_outplace_addmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2832241Z   test_meta_outplace_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2832388Z   test_meta_outplace_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2832536Z   test_meta_outplace_addmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2832682Z   test_meta_outplace_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2832828Z   test_meta_outplace_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2832990Z   test_meta_outplace_addmm_decomposed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2833162Z   test_meta_outplace_addmm_decomposed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2833325Z   test_meta_outplace_addmm_decomposed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2833479Z   test_meta_outplace_addmm_decomposed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2833636Z   test_meta_outplace_addmm_decomposed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2833791Z   test_meta_outplace_addmm_decomposed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2833937Z   test_meta_outplace_addmv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834089Z   test_meta_outplace_addmv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834237Z   test_meta_outplace_addmv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834381Z   test_meta_outplace_addmv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834526Z   test_meta_outplace_addmv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834664Z   test_meta_outplace_addmv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2834807Z   test_meta_outplace_addr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2834948Z   test_meta_outplace_addr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2835096Z   test_meta_outplace_addr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2835246Z   test_meta_outplace_addr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2835393Z   test_meta_outplace_addr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2835541Z   test_meta_outplace_addr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2835688Z   test_meta_outplace_addr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2835824Z   test_meta_outplace_addr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2835996Z   test_meta_outplace_addr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2836137Z   test_meta_outplace_addr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2836277Z   test_meta_outplace_addr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2836416Z   test_meta_outplace_addr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2836559Z   test_meta_outplace_all_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2836697Z   test_meta_outplace_all_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2836865Z   test_meta_outplace_all_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837003Z   test_meta_outplace_all_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837147Z   test_meta_outplace_all_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837290Z   test_meta_outplace_all_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837428Z   test_meta_outplace_all_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837566Z   test_meta_outplace_all_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837705Z   test_meta_outplace_all_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837841Z   test_meta_outplace_all_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2837978Z   test_meta_outplace_all_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2838105Z   test_meta_outplace_all_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2838260Z   test_meta_outplace_allclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.170s)
2022-11-23T01:45:56.2838413Z   test_meta_outplace_allclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.2838564Z   test_meta_outplace_allclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.2838715Z   test_meta_outplace_allclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.170s)
2022-11-23T01:45:56.2838861Z   test_meta_outplace_allclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.2839004Z   test_meta_outplace_allclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.2839149Z   test_meta_outplace_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2839289Z   test_meta_outplace_amax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2839425Z   test_meta_outplace_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2839569Z   test_meta_outplace_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2839714Z   test_meta_outplace_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2839855Z   test_meta_outplace_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840001Z   test_meta_outplace_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840144Z   test_meta_outplace_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840285Z   test_meta_outplace_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840423Z   test_meta_outplace_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840560Z   test_meta_outplace_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2840697Z   test_meta_outplace_amin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2840844Z   test_meta_outplace_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2840987Z   test_meta_outplace_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841130Z   test_meta_outplace_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841268Z   test_meta_outplace_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841432Z   test_meta_outplace_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841569Z   test_meta_outplace_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841699Z   test_meta_outplace_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841835Z   test_meta_outplace_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2841985Z   test_meta_outplace_aminmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2842128Z   test_meta_outplace_aminmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2842343Z   test_meta_outplace_aminmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2842495Z   test_meta_outplace_aminmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2842644Z   test_meta_outplace_aminmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2842791Z   test_meta_outplace_aminmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2842927Z   test_meta_outplace_aminmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2843071Z   test_meta_outplace_aminmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2843214Z   test_meta_outplace_aminmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2843360Z   test_meta_outplace_aminmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2843502Z   test_meta_outplace_angle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2843652Z   test_meta_outplace_angle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2843802Z   test_meta_outplace_angle_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2843951Z   test_meta_outplace_angle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844087Z   test_meta_outplace_angle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844233Z   test_meta_outplace_angle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844377Z   test_meta_outplace_angle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844518Z   test_meta_outplace_angle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844660Z   test_meta_outplace_angle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844799Z   test_meta_outplace_angle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2844937Z   test_meta_outplace_angle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2845082Z   test_meta_outplace_any_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2845216Z   test_meta_outplace_any_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2845363Z   test_meta_outplace_any_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2845509Z   test_meta_outplace_any_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2845651Z   test_meta_outplace_any_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2845794Z   test_meta_outplace_any_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2845935Z   test_meta_outplace_any_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846073Z   test_meta_outplace_any_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846213Z   test_meta_outplace_any_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846341Z   test_meta_outplace_any_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846481Z   test_meta_outplace_any_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846618Z   test_meta_outplace_any_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2846767Z   test_meta_outplace_arange_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2846944Z   test_meta_outplace_arange_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847095Z   test_meta_outplace_arange_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847246Z   test_meta_outplace_arange_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847393Z   test_meta_outplace_arange_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847528Z   test_meta_outplace_arange_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847673Z   test_meta_outplace_arange_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847839Z   test_meta_outplace_arange_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2847979Z   test_meta_outplace_arange_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2848127Z   test_meta_outplace_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2848276Z   test_meta_outplace_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2848424Z   test_meta_outplace_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2848570Z   test_meta_outplace_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2848705Z   test_meta_outplace_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2848851Z   test_meta_outplace_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2848994Z   test_meta_outplace_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2849138Z   test_meta_outplace_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2849287Z   test_meta_outplace_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2849435Z   test_meta_outplace_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2849587Z   test_meta_outplace_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2849731Z   test_meta_outplace_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2849868Z   test_meta_outplace_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2850011Z   test_meta_outplace_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2850153Z   test_meta_outplace_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2850295Z   test_meta_outplace_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2850438Z   test_meta_outplace_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2850579Z   test_meta_outplace_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2850730Z   test_meta_outplace_argsort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2850876Z   test_meta_outplace_argsort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851020Z   test_meta_outplace_argsort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851165Z   test_meta_outplace_argsort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851311Z   test_meta_outplace_argsort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851454Z   test_meta_outplace_argsort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851597Z   test_meta_outplace_argsort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2851737Z   test_meta_outplace_argsort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2851883Z   test_meta_outplace_argsort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2852035Z   test_meta_outplace_argwhere_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852178Z   test_meta_outplace_argwhere_cuda_bool (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852350Z   test_meta_outplace_argwhere_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852504Z   test_meta_outplace_argwhere_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852655Z   test_meta_outplace_argwhere_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852805Z   test_meta_outplace_argwhere_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2852949Z   test_meta_outplace_argwhere_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853096Z   test_meta_outplace_argwhere_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853277Z   test_meta_outplace_argwhere_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853422Z   test_meta_outplace_argwhere_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853560Z   test_meta_outplace_argwhere_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853704Z   test_meta_outplace_argwhere_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.2853859Z   test_meta_outplace_as_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2854012Z   test_meta_outplace_as_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2854168Z   test_meta_outplace_as_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2862503Z   test_meta_outplace_as_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2862667Z   test_meta_outplace_as_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2862823Z   test_meta_outplace_as_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2862977Z   test_meta_outplace_as_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863123Z   test_meta_outplace_as_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863276Z   test_meta_outplace_as_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863421Z   test_meta_outplace_as_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863565Z   test_meta_outplace_as_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863704Z   test_meta_outplace_as_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2863853Z   test_meta_outplace_as_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2864017Z   test_meta_outplace_as_strided_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2864175Z   test_meta_outplace_as_strided_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2864344Z   test_meta_outplace_as_strided_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2864508Z   test_meta_outplace_as_strided_scatter_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2864674Z   test_meta_outplace_as_strided_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2864835Z   test_meta_outplace_as_strided_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2864991Z   test_meta_outplace_as_strided_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2865149Z   test_meta_outplace_as_strided_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2865308Z   test_meta_outplace_as_strided_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2865464Z   test_meta_outplace_as_strided_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2865617Z   test_meta_outplace_as_strided_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2865771Z   test_meta_outplace_as_strided_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2865929Z   test_meta_outplace_as_strided_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2866159Z   test_meta_outplace_asin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2866304Z   test_meta_outplace_asin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2866446Z   test_meta_outplace_asin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2866594Z   test_meta_outplace_asin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2866741Z   test_meta_outplace_asin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2866884Z   test_meta_outplace_asin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867061Z   test_meta_outplace_asin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867207Z   test_meta_outplace_asin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867349Z   test_meta_outplace_asin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867497Z   test_meta_outplace_asin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867629Z   test_meta_outplace_asin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867769Z   test_meta_outplace_asin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2867906Z   test_meta_outplace_asin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868055Z   test_meta_outplace_asinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868199Z   test_meta_outplace_asinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868349Z   test_meta_outplace_asinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868500Z   test_meta_outplace_asinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868647Z   test_meta_outplace_asinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868787Z   test_meta_outplace_asinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2868932Z   test_meta_outplace_asinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869079Z   test_meta_outplace_asinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869222Z   test_meta_outplace_asinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869365Z   test_meta_outplace_asinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869507Z   test_meta_outplace_asinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869645Z   test_meta_outplace_asinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869785Z   test_meta_outplace_asinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2869925Z   test_meta_outplace_atan2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2870069Z   test_meta_outplace_atan2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2870215Z   test_meta_outplace_atan2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2870431Z   test_meta_outplace_atan2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2870575Z   test_meta_outplace_atan2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2870717Z   test_meta_outplace_atan2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2870858Z   test_meta_outplace_atan2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2870994Z   test_meta_outplace_atan2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2871132Z   test_meta_outplace_atan2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2871272Z   test_meta_outplace_atan2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2871424Z   test_meta_outplace_atan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2871596Z   test_meta_outplace_atan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2871748Z   test_meta_outplace_atan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2871896Z   test_meta_outplace_atan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872046Z   test_meta_outplace_atan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872190Z   test_meta_outplace_atan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872327Z   test_meta_outplace_atan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872471Z   test_meta_outplace_atan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872640Z   test_meta_outplace_atan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872783Z   test_meta_outplace_atan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2872924Z   test_meta_outplace_atan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873092Z   test_meta_outplace_atan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873255Z   test_meta_outplace_atan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873406Z   test_meta_outplace_atanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873541Z   test_meta_outplace_atanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873694Z   test_meta_outplace_atanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873844Z   test_meta_outplace_atanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2873994Z   test_meta_outplace_atanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874140Z   test_meta_outplace_atanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874286Z   test_meta_outplace_atanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874434Z   test_meta_outplace_atanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874578Z   test_meta_outplace_atanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874714Z   test_meta_outplace_atanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874855Z   test_meta_outplace_atanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2874996Z   test_meta_outplace_atanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2875135Z   test_meta_outplace_atanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2875291Z   test_meta_outplace_atleast_1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2875442Z   test_meta_outplace_atleast_1d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2875599Z   test_meta_outplace_atleast_1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2875754Z   test_meta_outplace_atleast_1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2875903Z   test_meta_outplace_atleast_1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876057Z   test_meta_outplace_atleast_1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876206Z   test_meta_outplace_atleast_1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876352Z   test_meta_outplace_atleast_1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876502Z   test_meta_outplace_atleast_1d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876650Z   test_meta_outplace_atleast_1d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876800Z   test_meta_outplace_atleast_1d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2876947Z   test_meta_outplace_atleast_1d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2877097Z   test_meta_outplace_atleast_1d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2877267Z   test_meta_outplace_atleast_2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2877415Z   test_meta_outplace_atleast_2d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2877572Z   test_meta_outplace_atleast_2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2877726Z   test_meta_outplace_atleast_2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2877881Z   test_meta_outplace_atleast_2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878033Z   test_meta_outplace_atleast_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878204Z   test_meta_outplace_atleast_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878349Z   test_meta_outplace_atleast_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878490Z   test_meta_outplace_atleast_2d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878637Z   test_meta_outplace_atleast_2d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878781Z   test_meta_outplace_atleast_2d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2878929Z   test_meta_outplace_atleast_2d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879075Z   test_meta_outplace_atleast_2d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879226Z   test_meta_outplace_atleast_3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879374Z   test_meta_outplace_atleast_3d_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879534Z   test_meta_outplace_atleast_3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879680Z   test_meta_outplace_atleast_3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2879836Z   test_meta_outplace_atleast_3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2879988Z   test_meta_outplace_atleast_3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880136Z   test_meta_outplace_atleast_3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880286Z   test_meta_outplace_atleast_3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880434Z   test_meta_outplace_atleast_3d_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880580Z   test_meta_outplace_atleast_3d_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880725Z   test_meta_outplace_atleast_3d_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2880874Z   test_meta_outplace_atleast_3d_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2881015Z   test_meta_outplace_atleast_3d_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2881160Z   test_meta_outplace_baddbmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2881315Z   test_meta_outplace_baddbmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2881467Z   test_meta_outplace_baddbmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2881613Z   test_meta_outplace_baddbmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2881760Z   test_meta_outplace_baddbmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2881909Z   test_meta_outplace_baddbmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2882060Z   test_meta_outplace_bernoulli_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2882207Z   test_meta_outplace_bernoulli_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2882354Z   test_meta_outplace_bernoulli_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2882499Z   test_meta_outplace_bernoulli_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2882673Z   test_meta_outplace_bfloat16_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2882821Z   test_meta_outplace_bfloat16_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2882979Z   test_meta_outplace_bfloat16_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883130Z   test_meta_outplace_bfloat16_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883279Z   test_meta_outplace_bfloat16_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883418Z   test_meta_outplace_bfloat16_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883586Z   test_meta_outplace_bfloat16_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883730Z   test_meta_outplace_bfloat16_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2883877Z   test_meta_outplace_bfloat16_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2884030Z   test_meta_outplace_bfloat16_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2884178Z   test_meta_outplace_bfloat16_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2884323Z   test_meta_outplace_bfloat16_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2884468Z   test_meta_outplace_bfloat16_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2884605Z   test_meta_outplace_bincount_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.2884751Z   test_meta_outplace_bincount_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.2884901Z   test_meta_outplace_bincount_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.2885048Z   test_meta_outplace_bincount_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.2885191Z   test_meta_outplace_bincount_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.2885348Z   test_meta_outplace_bitwise_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2885501Z   test_meta_outplace_bitwise_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2885650Z   test_meta_outplace_bitwise_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2885788Z   test_meta_outplace_bitwise_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2885937Z   test_meta_outplace_bitwise_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886087Z   test_meta_outplace_bitwise_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886248Z   test_meta_outplace_bitwise_left_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886413Z   test_meta_outplace_bitwise_left_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886568Z   test_meta_outplace_bitwise_left_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886726Z   test_meta_outplace_bitwise_left_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2886884Z   test_meta_outplace_bitwise_left_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2887037Z   test_meta_outplace_bitwise_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887180Z   test_meta_outplace_bitwise_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887326Z   test_meta_outplace_bitwise_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887470Z   test_meta_outplace_bitwise_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887618Z   test_meta_outplace_bitwise_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887763Z   test_meta_outplace_bitwise_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2887913Z   test_meta_outplace_bitwise_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888089Z   test_meta_outplace_bitwise_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888237Z   test_meta_outplace_bitwise_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888374Z   test_meta_outplace_bitwise_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888527Z   test_meta_outplace_bitwise_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888675Z   test_meta_outplace_bitwise_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2888835Z   test_meta_outplace_bitwise_right_shift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889020Z   test_meta_outplace_bitwise_right_shift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889173Z   test_meta_outplace_bitwise_right_shift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889332Z   test_meta_outplace_bitwise_right_shift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889499Z   test_meta_outplace_bitwise_right_shift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889638Z   test_meta_outplace_bitwise_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889787Z   test_meta_outplace_bitwise_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2889932Z   test_meta_outplace_bitwise_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2890077Z   test_meta_outplace_bitwise_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2890221Z   test_meta_outplace_bitwise_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2890368Z   test_meta_outplace_bitwise_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2890526Z   test_meta_outplace_block_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2890675Z   test_meta_outplace_block_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2890836Z   test_meta_outplace_block_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2890986Z   test_meta_outplace_block_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2891141Z   test_meta_outplace_block_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2891296Z   test_meta_outplace_block_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2891447Z   test_meta_outplace_block_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2891592Z   test_meta_outplace_block_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2891745Z   test_meta_outplace_block_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2891892Z   test_meta_outplace_block_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2892036Z   test_meta_outplace_block_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2892178Z   test_meta_outplace_block_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2892326Z   test_meta_outplace_block_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2892474Z   test_meta_outplace_bmm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2892624Z   test_meta_outplace_bmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2892769Z   test_meta_outplace_bmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2892914Z   test_meta_outplace_bmm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893060Z   test_meta_outplace_bmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893203Z   test_meta_outplace_bmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893343Z   test_meta_outplace_bool_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893508Z   test_meta_outplace_bool_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893658Z   test_meta_outplace_bool_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893806Z   test_meta_outplace_bool_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2893954Z   test_meta_outplace_bool_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894095Z   test_meta_outplace_bool_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894240Z   test_meta_outplace_bool_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894385Z   test_meta_outplace_bool_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894546Z   test_meta_outplace_bool_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894693Z   test_meta_outplace_bool_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894833Z   test_meta_outplace_bool_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2894977Z   test_meta_outplace_bool_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2895118Z   test_meta_outplace_bool_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2895278Z   test_meta_outplace_broadcast_shapes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2895441Z   test_meta_outplace_broadcast_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2895602Z   test_meta_outplace_broadcast_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2895761Z   test_meta_outplace_broadcast_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2895928Z   test_meta_outplace_broadcast_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896089Z   test_meta_outplace_broadcast_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896249Z   test_meta_outplace_broadcast_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896407Z   test_meta_outplace_broadcast_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896566Z   test_meta_outplace_broadcast_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896726Z   test_meta_outplace_broadcast_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2896883Z   test_meta_outplace_broadcast_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2897042Z   test_meta_outplace_broadcast_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2897190Z   test_meta_outplace_broadcast_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2897349Z   test_meta_outplace_broadcast_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2897504Z   test_meta_outplace_broadcast_to_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2897662Z   test_meta_outplace_broadcast_to_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2897816Z   test_meta_outplace_broadcast_to_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2897976Z   test_meta_outplace_broadcast_to_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2898131Z   test_meta_outplace_broadcast_to_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2898288Z   test_meta_outplace_broadcast_to_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2898433Z   test_meta_outplace_broadcast_to_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2898585Z   test_meta_outplace_broadcast_to_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2898731Z   test_meta_outplace_broadcast_to_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2899013Z   test_meta_outplace_broadcast_to_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2899200Z   test_meta_outplace_broadcast_to_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2899351Z   test_meta_outplace_bucketize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2899500Z   test_meta_outplace_bucketize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2899647Z   test_meta_outplace_bucketize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2899788Z   test_meta_outplace_bucketize_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2899936Z   test_meta_outplace_bucketize_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2900123Z   test_meta_outplace_bucketize_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2900272Z   test_meta_outplace_bucketize_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2900420Z   test_meta_outplace_bucketize_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2900568Z   test_meta_outplace_byte_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2900712Z   test_meta_outplace_byte_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2900858Z   test_meta_outplace_byte_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901007Z   test_meta_outplace_byte_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901145Z   test_meta_outplace_byte_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901288Z   test_meta_outplace_byte_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901433Z   test_meta_outplace_byte_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901580Z   test_meta_outplace_byte_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901725Z   test_meta_outplace_byte_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2901867Z   test_meta_outplace_byte_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2902009Z   test_meta_outplace_byte_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2902146Z   test_meta_outplace_byte_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2902296Z   test_meta_outplace_cartesian_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2902453Z   test_meta_outplace_cartesian_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2902615Z   test_meta_outplace_cartesian_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2902775Z   test_meta_outplace_cartesian_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2902941Z   test_meta_outplace_cartesian_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903099Z   test_meta_outplace_cartesian_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903254Z   test_meta_outplace_cartesian_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903412Z   test_meta_outplace_cartesian_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903559Z   test_meta_outplace_cartesian_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903713Z   test_meta_outplace_cartesian_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2903868Z   test_meta_outplace_cartesian_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2904022Z   test_meta_outplace_cartesian_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2904167Z   test_meta_outplace_cat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2904311Z   test_meta_outplace_cat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2904461Z   test_meta_outplace_cat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2904607Z   test_meta_outplace_cat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2904773Z   test_meta_outplace_cat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2904919Z   test_meta_outplace_cat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2905060Z   test_meta_outplace_cat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2905201Z   test_meta_outplace_cat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2905340Z   test_meta_outplace_cat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2905479Z   test_meta_outplace_cat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2905642Z   test_meta_outplace_cat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2905782Z   test_meta_outplace_cat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2905910Z   test_meta_outplace_cat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2906061Z   test_meta_outplace_cdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.2906207Z   test_meta_outplace_cdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2906358Z   test_meta_outplace_cdouble_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2906501Z   test_meta_outplace_cdouble_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2906655Z   test_meta_outplace_cdouble_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2906807Z   test_meta_outplace_cdouble_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2906954Z   test_meta_outplace_cdouble_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907099Z   test_meta_outplace_cdouble_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907246Z   test_meta_outplace_cdouble_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907394Z   test_meta_outplace_cdouble_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907542Z   test_meta_outplace_cdouble_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907686Z   test_meta_outplace_cdouble_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907831Z   test_meta_outplace_cdouble_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2907973Z   test_meta_outplace_cdouble_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908119Z   test_meta_outplace_cdouble_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908261Z   test_meta_outplace_ceil_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908403Z   test_meta_outplace_ceil_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908543Z   test_meta_outplace_ceil_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908687Z   test_meta_outplace_ceil_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908830Z   test_meta_outplace_ceil_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2908977Z   test_meta_outplace_ceil_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909118Z   test_meta_outplace_ceil_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909255Z   test_meta_outplace_ceil_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909391Z   test_meta_outplace_ceil_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909532Z   test_meta_outplace_cfloat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909677Z   test_meta_outplace_cfloat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909833Z   test_meta_outplace_cfloat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2909985Z   test_meta_outplace_cfloat_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910132Z   test_meta_outplace_cfloat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910382Z   test_meta_outplace_cfloat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910550Z   test_meta_outplace_cfloat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910698Z   test_meta_outplace_cfloat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910835Z   test_meta_outplace_cfloat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2910980Z   test_meta_outplace_cfloat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911122Z   test_meta_outplace_cfloat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911293Z   test_meta_outplace_cfloat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911437Z   test_meta_outplace_cfloat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911583Z   test_meta_outplace_chalf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911733Z   test_meta_outplace_chalf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2911884Z   test_meta_outplace_chalf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912025Z   test_meta_outplace_chalf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912171Z   test_meta_outplace_chalf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912318Z   test_meta_outplace_chalf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912463Z   test_meta_outplace_chalf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912612Z   test_meta_outplace_chalf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912753Z   test_meta_outplace_chalf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2912896Z   test_meta_outplace_chalf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913038Z   test_meta_outplace_chalf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913175Z   test_meta_outplace_chalf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913316Z   test_meta_outplace_chalf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913461Z   test_meta_outplace_char_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913598Z   test_meta_outplace_char_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913746Z   test_meta_outplace_char_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2913895Z   test_meta_outplace_char_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914042Z   test_meta_outplace_char_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914187Z   test_meta_outplace_char_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914323Z   test_meta_outplace_char_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914469Z   test_meta_outplace_char_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914612Z   test_meta_outplace_char_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914751Z   test_meta_outplace_char_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2914888Z   test_meta_outplace_char_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2915027Z   test_meta_outplace_char_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2915163Z   test_meta_outplace_char_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2915319Z   test_meta_outplace_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.2915465Z   test_meta_outplace_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.2915614Z   test_meta_outplace_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.132s)
2022-11-23T01:45:56.2915791Z   test_meta_outplace_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.2915957Z   test_meta_outplace_cholesky_inverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.103s)
2022-11-23T01:45:56.2916117Z   test_meta_outplace_cholesky_inverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.099s)
2022-11-23T01:45:56.2916273Z   test_meta_outplace_cholesky_inverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.2916431Z   test_meta_outplace_cholesky_inverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.099s)
2022-11-23T01:45:56.2916590Z   test_meta_outplace_cholesky_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.138s)
2022-11-23T01:45:56.2916766Z   test_meta_outplace_cholesky_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.134s)
2022-11-23T01:45:56.2916915Z   test_meta_outplace_cholesky_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.133s)
2022-11-23T01:45:56.2917071Z   test_meta_outplace_cholesky_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.135s)
2022-11-23T01:45:56.2917220Z   test_meta_outplace_chunk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2917364Z   test_meta_outplace_chunk_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2917514Z   test_meta_outplace_chunk_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2917663Z   test_meta_outplace_chunk_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2917813Z   test_meta_outplace_chunk_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2917958Z   test_meta_outplace_chunk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918097Z   test_meta_outplace_chunk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918243Z   test_meta_outplace_chunk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918385Z   test_meta_outplace_chunk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918532Z   test_meta_outplace_chunk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918672Z   test_meta_outplace_chunk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918812Z   test_meta_outplace_chunk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2918951Z   test_meta_outplace_chunk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2919100Z   test_meta_outplace_clamp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2919236Z   test_meta_outplace_clamp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2919382Z   test_meta_outplace_clamp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2919529Z   test_meta_outplace_clamp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2919670Z   test_meta_outplace_clamp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2919809Z   test_meta_outplace_clamp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2919949Z   test_meta_outplace_clamp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2920091Z   test_meta_outplace_clamp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2920229Z   test_meta_outplace_clamp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2920374Z   test_meta_outplace_clamp_max_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2920522Z   test_meta_outplace_clamp_max_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2920675Z   test_meta_outplace_clamp_max_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2920827Z   test_meta_outplace_clamp_max_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2920971Z   test_meta_outplace_clamp_max_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921121Z   test_meta_outplace_clamp_max_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921293Z   test_meta_outplace_clamp_max_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921440Z   test_meta_outplace_clamp_max_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921581Z   test_meta_outplace_clamp_max_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921725Z   test_meta_outplace_clamp_max_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2921879Z   test_meta_outplace_clamp_min_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2922028Z   test_meta_outplace_clamp_min_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2922200Z   test_meta_outplace_clamp_min_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2922347Z   test_meta_outplace_clamp_min_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2922494Z   test_meta_outplace_clamp_min_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2922645Z   test_meta_outplace_clamp_min_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2922784Z   test_meta_outplace_clamp_min_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2922927Z   test_meta_outplace_clamp_min_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2923072Z   test_meta_outplace_clamp_min_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2923215Z   test_meta_outplace_clamp_min_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2923363Z   test_meta_outplace_clone_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2923510Z   test_meta_outplace_clone_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2923661Z   test_meta_outplace_clone_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2923805Z   test_meta_outplace_clone_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2923949Z   test_meta_outplace_clone_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924100Z   test_meta_outplace_clone_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924249Z   test_meta_outplace_clone_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924394Z   test_meta_outplace_clone_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924530Z   test_meta_outplace_clone_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924672Z   test_meta_outplace_clone_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924812Z   test_meta_outplace_clone_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2924958Z   test_meta_outplace_clone_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2925097Z   test_meta_outplace_clone_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2925254Z   test_meta_outplace_column_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2925407Z   test_meta_outplace_column_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2925566Z   test_meta_outplace_column_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2925717Z   test_meta_outplace_column_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2925875Z   test_meta_outplace_column_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926026Z   test_meta_outplace_column_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926181Z   test_meta_outplace_column_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926339Z   test_meta_outplace_column_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926490Z   test_meta_outplace_column_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926638Z   test_meta_outplace_column_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926810Z   test_meta_outplace_column_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2926953Z   test_meta_outplace_column_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2927101Z   test_meta_outplace_column_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2927257Z   test_meta_outplace_combinations_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2927413Z   test_meta_outplace_combinations_cuda_bool (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2927573Z   test_meta_outplace_combinations_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2927755Z   test_meta_outplace_combinations_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2927908Z   test_meta_outplace_combinations_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2928068Z   test_meta_outplace_combinations_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2928219Z   test_meta_outplace_combinations_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2928365Z   test_meta_outplace_combinations_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.2928513Z   test_meta_outplace_combinations_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2928662Z   test_meta_outplace_combinations_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2928813Z   test_meta_outplace_combinations_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2928961Z   test_meta_outplace_combinations_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.101s)
2022-11-23T01:45:56.2929112Z   test_meta_outplace_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.2929257Z   test_meta_outplace_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2929407Z   test_meta_outplace_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.2929548Z   test_meta_outplace_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2929696Z   test_meta_outplace_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2929842Z   test_meta_outplace_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2929988Z   test_meta_outplace_conj_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930136Z   test_meta_outplace_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930281Z   test_meta_outplace_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930429Z   test_meta_outplace_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930573Z   test_meta_outplace_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930709Z   test_meta_outplace_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930857Z   test_meta_outplace_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2930996Z   test_meta_outplace_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2931136Z   test_meta_outplace_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2931273Z   test_meta_outplace_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2931433Z   test_meta_outplace_conj_physical_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2931586Z   test_meta_outplace_conj_physical_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2931745Z   test_meta_outplace_conj_physical_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2931896Z   test_meta_outplace_conj_physical_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2932054Z   test_meta_outplace_conj_physical_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2932233Z   test_meta_outplace_conj_physical_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2932393Z   test_meta_outplace_conj_physical_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2932547Z   test_meta_outplace_conj_physical_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2932698Z   test_meta_outplace_conj_physical_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2932846Z   test_meta_outplace_conj_physical_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2932992Z   test_meta_outplace_conj_physical_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2933176Z   test_meta_outplace_conj_physical_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2933315Z   test_meta_outplace_conj_physical_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2933474Z   test_meta_outplace_constant_pad_nd_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2933657Z   test_meta_outplace_constant_pad_nd_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2933842Z   test_meta_outplace_constant_pad_nd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934002Z   test_meta_outplace_constant_pad_nd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934158Z   test_meta_outplace_constant_pad_nd_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934313Z   test_meta_outplace_constant_pad_nd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934467Z   test_meta_outplace_constant_pad_nd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934615Z   test_meta_outplace_constant_pad_nd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934766Z   test_meta_outplace_constant_pad_nd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2934923Z   test_meta_outplace_constant_pad_nd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2935077Z   test_meta_outplace_constant_pad_nd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2935232Z   test_meta_outplace_constant_pad_nd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.2935385Z   test_meta_outplace_contiguous_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2935534Z   test_meta_outplace_contiguous_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2935686Z   test_meta_outplace_contiguous_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2935833Z   test_meta_outplace_contiguous_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2935990Z   test_meta_outplace_contiguous_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2936142Z   test_meta_outplace_contiguous_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2936294Z   test_meta_outplace_contiguous_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2936443Z   test_meta_outplace_contiguous_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2936593Z   test_meta_outplace_contiguous_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2936739Z   test_meta_outplace_contiguous_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2936884Z   test_meta_outplace_contiguous_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2937033Z   test_meta_outplace_contiguous_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2937175Z   test_meta_outplace_contiguous_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2937330Z   test_meta_outplace_copysign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2937477Z   test_meta_outplace_copysign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2937628Z   test_meta_outplace_copysign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2937802Z   test_meta_outplace_copysign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2937947Z   test_meta_outplace_copysign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.2938095Z   test_meta_outplace_copysign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2938243Z   test_meta_outplace_copysign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2938383Z   test_meta_outplace_copysign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2938526Z   test_meta_outplace_copysign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2938706Z   test_meta_outplace_copysign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.2938967Z   test_meta_outplace_corrcoef_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.2939124Z   test_meta_outplace_corrcoef_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2939276Z   test_meta_outplace_corrcoef_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2939425Z   test_meta_outplace_corrcoef_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.2939569Z   test_meta_outplace_corrcoef_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2939704Z   test_meta_outplace_corrcoef_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2939849Z   test_meta_outplace_corrcoef_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.2939995Z   test_meta_outplace_corrcoef_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.2940142Z   test_meta_outplace_corrcoef_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2940287Z   test_meta_outplace_corrcoef_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2940433Z   test_meta_outplace_corrcoef_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.2940582Z   test_meta_outplace_cos_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2940726Z   test_meta_outplace_cos_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2940862Z   test_meta_outplace_cos_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941006Z   test_meta_outplace_cos_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941153Z   test_meta_outplace_cos_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941297Z   test_meta_outplace_cos_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941442Z   test_meta_outplace_cos_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941583Z   test_meta_outplace_cos_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941723Z   test_meta_outplace_cos_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941867Z   test_meta_outplace_cos_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2941998Z   test_meta_outplace_cos_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942139Z   test_meta_outplace_cos_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942276Z   test_meta_outplace_cos_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942420Z   test_meta_outplace_cosh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942562Z   test_meta_outplace_cosh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942711Z   test_meta_outplace_cosh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2942861Z   test_meta_outplace_cosh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943007Z   test_meta_outplace_cosh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943143Z   test_meta_outplace_cosh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943327Z   test_meta_outplace_cosh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943471Z   test_meta_outplace_cosh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943615Z   test_meta_outplace_cosh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943759Z   test_meta_outplace_cosh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2943899Z   test_meta_outplace_cosh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2944041Z   test_meta_outplace_cosh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2944179Z   test_meta_outplace_cosh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2944357Z   test_meta_outplace_count_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2944511Z   test_meta_outplace_count_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.2944674Z   test_meta_outplace_count_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2944832Z   test_meta_outplace_count_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2944985Z   test_meta_outplace_count_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2945139Z   test_meta_outplace_count_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2945292Z   test_meta_outplace_count_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2945445Z   test_meta_outplace_count_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2945595Z   test_meta_outplace_count_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.2945732Z   test_meta_outplace_count_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.2945883Z   test_meta_outplace_count_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2946032Z   test_meta_outplace_count_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2946178Z   test_meta_outplace_cov_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2946324Z   test_meta_outplace_cov_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2946468Z   test_meta_outplace_cov_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2946611Z   test_meta_outplace_cov_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2946755Z   test_meta_outplace_cov_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:56.2946888Z   test_meta_outplace_cov_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:56.2947033Z   test_meta_outplace_cov_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2947179Z   test_meta_outplace_cov_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2947315Z   test_meta_outplace_cov_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.224s)
2022-11-23T01:45:56.2947457Z   test_meta_outplace_cov_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2947593Z   test_meta_outplace_cov_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.225s)
2022-11-23T01:45:56.2947744Z   test_meta_outplace_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2947892Z   test_meta_outplace_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948031Z   test_meta_outplace_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948181Z   test_meta_outplace_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948326Z   test_meta_outplace_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948468Z   test_meta_outplace_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948610Z   test_meta_outplace_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948775Z   test_meta_outplace_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2948921Z   test_meta_outplace_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2949060Z   test_meta_outplace_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2949203Z   test_meta_outplace_cummax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2949345Z   test_meta_outplace_cummax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2949493Z   test_meta_outplace_cummax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2949639Z   test_meta_outplace_cummax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2949808Z   test_meta_outplace_cummax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2949954Z   test_meta_outplace_cummax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950100Z   test_meta_outplace_cummax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950308Z   test_meta_outplace_cummax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950461Z   test_meta_outplace_cummax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950626Z   test_meta_outplace_cummax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950778Z   test_meta_outplace_cummin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2950919Z   test_meta_outplace_cummin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951065Z   test_meta_outplace_cummin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951212Z   test_meta_outplace_cummin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951359Z   test_meta_outplace_cummin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951500Z   test_meta_outplace_cummin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951638Z   test_meta_outplace_cummin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951783Z   test_meta_outplace_cummin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2951923Z   test_meta_outplace_cummin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2952062Z   test_meta_outplace_cummin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2952212Z   test_meta_outplace_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2952365Z   test_meta_outplace_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2952517Z   test_meta_outplace_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2952670Z   test_meta_outplace_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2952812Z   test_meta_outplace_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2952963Z   test_meta_outplace_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953110Z   test_meta_outplace_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953256Z   test_meta_outplace_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953404Z   test_meta_outplace_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953548Z   test_meta_outplace_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953693Z   test_meta_outplace_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2953838Z   test_meta_outplace_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2953993Z   test_meta_outplace_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2954136Z   test_meta_outplace_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2954283Z   test_meta_outplace_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2954463Z   test_meta_outplace_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2954611Z   test_meta_outplace_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2954759Z   test_meta_outplace_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2954903Z   test_meta_outplace_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2955047Z   test_meta_outplace_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2955195Z   test_meta_outplace_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2955351Z   test_meta_outplace_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.2955524Z   test_meta_outplace_cumulative_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2955694Z   test_meta_outplace_cumulative_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2955868Z   test_meta_outplace_cumulative_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2956033Z   test_meta_outplace_cumulative_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2956198Z   test_meta_outplace_cumulative_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2956364Z   test_meta_outplace_cumulative_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2956528Z   test_meta_outplace_cumulative_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2956682Z   test_meta_outplace_cumulative_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2956843Z   test_meta_outplace_cumulative_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2957004Z   test_meta_outplace_cumulative_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2957165Z   test_meta_outplace_cumulative_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2957317Z   test_meta_outplace_deg2rad_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2957462Z   test_meta_outplace_deg2rad_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2957611Z   test_meta_outplace_deg2rad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2957761Z   test_meta_outplace_deg2rad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2957908Z   test_meta_outplace_deg2rad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958050Z   test_meta_outplace_deg2rad_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958194Z   test_meta_outplace_deg2rad_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958340Z   test_meta_outplace_deg2rad_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958487Z   test_meta_outplace_deg2rad_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958630Z   test_meta_outplace_deg2rad_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2958774Z   test_meta_outplace_diag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2958918Z   test_meta_outplace_diag_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959069Z   test_meta_outplace_diag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959209Z   test_meta_outplace_diag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959358Z   test_meta_outplace_diag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959506Z   test_meta_outplace_diag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959652Z   test_meta_outplace_diag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959796Z   test_meta_outplace_diag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2959965Z   test_meta_outplace_diag_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960109Z   test_meta_outplace_diag_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960249Z   test_meta_outplace_diag_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960382Z   test_meta_outplace_diag_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960521Z   test_meta_outplace_diag_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960677Z   test_meta_outplace_diag_embed_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2960847Z   test_meta_outplace_diag_embed_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2961004Z   test_meta_outplace_diag_embed_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2961161Z   test_meta_outplace_diag_embed_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2961319Z   test_meta_outplace_diag_embed_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2961472Z   test_meta_outplace_diag_embed_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2961613Z   test_meta_outplace_diag_embed_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2961760Z   test_meta_outplace_diag_embed_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2961911Z   test_meta_outplace_diag_embed_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2962056Z   test_meta_outplace_diag_embed_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2962203Z   test_meta_outplace_diag_embed_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2962349Z   test_meta_outplace_diag_embed_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2962499Z   test_meta_outplace_diag_embed_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2962655Z   test_meta_outplace_diagflat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2962794Z   test_meta_outplace_diagflat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2962949Z   test_meta_outplace_diagflat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963101Z   test_meta_outplace_diagflat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963250Z   test_meta_outplace_diagflat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2963396Z   test_meta_outplace_diagflat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963542Z   test_meta_outplace_diagflat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963690Z   test_meta_outplace_diagflat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963839Z   test_meta_outplace_diagflat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2963981Z   test_meta_outplace_diagflat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2964126Z   test_meta_outplace_diagflat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2964273Z   test_meta_outplace_diagflat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.2964434Z   test_meta_outplace_diagonal_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2964586Z   test_meta_outplace_diagonal_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2964747Z   test_meta_outplace_diagonal_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2964905Z   test_meta_outplace_diagonal_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965065Z   test_meta_outplace_diagonal_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965219Z   test_meta_outplace_diagonal_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965394Z   test_meta_outplace_diagonal_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965552Z   test_meta_outplace_diagonal_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965711Z   test_meta_outplace_diagonal_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2965860Z   test_meta_outplace_diagonal_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2966007Z   test_meta_outplace_diagonal_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2966158Z   test_meta_outplace_diagonal_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2966327Z   test_meta_outplace_diagonal_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2966481Z   test_meta_outplace_diagonal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2966622Z   test_meta_outplace_diagonal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2966777Z   test_meta_outplace_diagonal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2966930Z   test_meta_outplace_diagonal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967079Z   test_meta_outplace_diagonal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967230Z   test_meta_outplace_diagonal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967372Z   test_meta_outplace_diagonal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967513Z   test_meta_outplace_diagonal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967663Z   test_meta_outplace_diagonal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967802Z   test_meta_outplace_diagonal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2967950Z   test_meta_outplace_diagonal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2968098Z   test_meta_outplace_diagonal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2968244Z   test_meta_outplace_diagonal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.2968405Z   test_meta_outplace_diagonal_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2968557Z   test_meta_outplace_diagonal_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2968713Z   test_meta_outplace_diagonal_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2968869Z   test_meta_outplace_diagonal_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969023Z   test_meta_outplace_diagonal_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969174Z   test_meta_outplace_diagonal_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969330Z   test_meta_outplace_diagonal_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969493Z   test_meta_outplace_diagonal_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969646Z   test_meta_outplace_diagonal_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969798Z   test_meta_outplace_diagonal_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.2969944Z   test_meta_outplace_diff_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.116s)
2022-11-23T01:45:56.2970087Z   test_meta_outplace_diff_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2970236Z   test_meta_outplace_diff_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.2970379Z   test_meta_outplace_diff_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.2970525Z   test_meta_outplace_diff_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.114s)
2022-11-23T01:45:56.2970669Z   test_meta_outplace_diff_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2970839Z   test_meta_outplace_diff_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2970984Z   test_meta_outplace_diff_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.2971127Z   test_meta_outplace_diff_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.092s)
2022-11-23T01:45:56.2971266Z   test_meta_outplace_diff_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.2971407Z   test_meta_outplace_diff_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.2971538Z   test_meta_outplace_diff_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.2971683Z   test_meta_outplace_digamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2971855Z   test_meta_outplace_digamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972004Z   test_meta_outplace_digamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972153Z   test_meta_outplace_digamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972301Z   test_meta_outplace_digamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972447Z   test_meta_outplace_digamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972593Z   test_meta_outplace_digamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972731Z   test_meta_outplace_digamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2972873Z   test_meta_outplace_digamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2973017Z   test_meta_outplace_dist_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.2973168Z   test_meta_outplace_dist_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.045s)
2022-11-23T01:45:56.2973316Z   test_meta_outplace_dist_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:56.2973459Z   test_meta_outplace_dist_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.044s)
2022-11-23T01:45:56.2973605Z   test_meta_outplace_dist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.2973748Z   test_meta_outplace_dist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.040s)
2022-11-23T01:45:56.2973904Z   test_meta_outplace_div_floor_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.2974064Z   test_meta_outplace_div_floor_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.2974223Z   test_meta_outplace_div_floor_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.2974378Z   test_meta_outplace_div_floor_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.2974539Z   test_meta_outplace_div_floor_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.2974695Z   test_meta_outplace_div_floor_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2974847Z   test_meta_outplace_div_floor_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2975005Z   test_meta_outplace_div_floor_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.2975162Z   test_meta_outplace_div_floor_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2975319Z   test_meta_outplace_div_no_rounding_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2975478Z   test_meta_outplace_div_no_rounding_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2975646Z   test_meta_outplace_div_no_rounding_mode_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2975811Z   test_meta_outplace_div_no_rounding_mode_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2975978Z   test_meta_outplace_div_no_rounding_mode_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2976138Z   test_meta_outplace_div_no_rounding_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2976319Z   test_meta_outplace_div_no_rounding_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2976483Z   test_meta_outplace_div_no_rounding_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2976635Z   test_meta_outplace_div_no_rounding_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2976792Z   test_meta_outplace_div_no_rounding_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2976948Z   test_meta_outplace_div_no_rounding_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2977106Z   test_meta_outplace_div_no_rounding_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2977292Z   test_meta_outplace_div_no_rounding_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2977453Z   test_meta_outplace_div_trunc_rounding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2977611Z   test_meta_outplace_div_trunc_rounding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.2977767Z   test_meta_outplace_div_trunc_rounding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2977918Z   test_meta_outplace_div_trunc_rounding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.2978068Z   test_meta_outplace_div_trunc_rounding_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2978226Z   test_meta_outplace_div_trunc_rounding_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2978379Z   test_meta_outplace_div_trunc_rounding_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2978539Z   test_meta_outplace_div_trunc_rounding_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2978694Z   test_meta_outplace_div_trunc_rounding_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.2978971Z   test_meta_outplace_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979125Z   test_meta_outplace_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979272Z   test_meta_outplace_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979410Z   test_meta_outplace_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979554Z   test_meta_outplace_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979694Z   test_meta_outplace_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979841Z   test_meta_outplace_double_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2979988Z   test_meta_outplace_double_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980141Z   test_meta_outplace_double_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980292Z   test_meta_outplace_double_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980441Z   test_meta_outplace_double_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980582Z   test_meta_outplace_double_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980729Z   test_meta_outplace_double_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2980875Z   test_meta_outplace_double_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981019Z   test_meta_outplace_double_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981164Z   test_meta_outplace_double_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981306Z   test_meta_outplace_double_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981450Z   test_meta_outplace_double_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981592Z   test_meta_outplace_double_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981741Z   test_meta_outplace_dsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2981916Z   test_meta_outplace_dsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982070Z   test_meta_outplace_dsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982222Z   test_meta_outplace_dsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982369Z   test_meta_outplace_dsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982519Z   test_meta_outplace_dsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982666Z   test_meta_outplace_dsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982837Z   test_meta_outplace_dsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2982980Z   test_meta_outplace_dsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2983116Z   test_meta_outplace_dsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2983259Z   test_meta_outplace_dsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2983404Z   test_meta_outplace_dsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2983545Z   test_meta_outplace_dsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2983692Z   test_meta_outplace_dstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2983835Z   test_meta_outplace_dstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2983987Z   test_meta_outplace_dstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984134Z   test_meta_outplace_dstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984275Z   test_meta_outplace_dstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984421Z   test_meta_outplace_dstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984568Z   test_meta_outplace_dstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984712Z   test_meta_outplace_dstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984855Z   test_meta_outplace_dstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2984995Z   test_meta_outplace_dstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2985137Z   test_meta_outplace_dstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2985277Z   test_meta_outplace_dstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2985410Z   test_meta_outplace_dstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2985561Z   test_meta_outplace_einsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2985716Z   test_meta_outplace_einsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2985867Z   test_meta_outplace_einsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2986014Z   test_meta_outplace_einsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2986162Z   test_meta_outplace_einsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2986306Z   test_meta_outplace_einsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2986449Z   test_meta_outplace_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2986587Z   test_meta_outplace_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2986735Z   test_meta_outplace_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2986885Z   test_meta_outplace_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987031Z   test_meta_outplace_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987177Z   test_meta_outplace_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987348Z   test_meta_outplace_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987494Z   test_meta_outplace_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987655Z   test_meta_outplace_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2987837Z   test_meta_outplace_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2988029Z   test_meta_outplace_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2988193Z   test_meta_outplace_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2988338Z   test_meta_outplace_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.2988530Z   test_meta_outplace_empty_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2988681Z   test_meta_outplace_empty_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2988844Z   test_meta_outplace_empty_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989003Z   test_meta_outplace_empty_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989159Z   test_meta_outplace_empty_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989317Z   test_meta_outplace_empty_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989460Z   test_meta_outplace_empty_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989607Z   test_meta_outplace_empty_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989759Z   test_meta_outplace_empty_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2989910Z   test_meta_outplace_empty_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2990060Z   test_meta_outplace_empty_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2990212Z   test_meta_outplace_empty_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2990440Z   test_meta_outplace_empty_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2990585Z   test_meta_outplace_eq_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2990718Z   test_meta_outplace_eq_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2990864Z   test_meta_outplace_eq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991009Z   test_meta_outplace_eq_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2991152Z   test_meta_outplace_eq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991299Z   test_meta_outplace_eq_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.2991441Z   test_meta_outplace_eq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991582Z   test_meta_outplace_eq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991723Z   test_meta_outplace_eq_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991857Z   test_meta_outplace_eq_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2991993Z   test_meta_outplace_eq_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2992132Z   test_meta_outplace_eq_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2992270Z   test_meta_outplace_eq_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.2992417Z   test_meta_outplace_equal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2992561Z   test_meta_outplace_equal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2992714Z   test_meta_outplace_equal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2992865Z   test_meta_outplace_equal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993001Z   test_meta_outplace_equal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993185Z   test_meta_outplace_equal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993332Z   test_meta_outplace_equal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993476Z   test_meta_outplace_equal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993619Z   test_meta_outplace_equal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993759Z   test_meta_outplace_equal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2993900Z   test_meta_outplace_equal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994067Z   test_meta_outplace_equal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994204Z   test_meta_outplace_erf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994342Z   test_meta_outplace_erf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994488Z   test_meta_outplace_erf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994632Z   test_meta_outplace_erf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994778Z   test_meta_outplace_erf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2994918Z   test_meta_outplace_erf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2995061Z   test_meta_outplace_erf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2995199Z   test_meta_outplace_erf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2995338Z   test_meta_outplace_erf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2995469Z   test_meta_outplace_erf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2995616Z   test_meta_outplace_erfc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2995756Z   test_meta_outplace_erfc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2995905Z   test_meta_outplace_erfc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996053Z   test_meta_outplace_erfc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996200Z   test_meta_outplace_erfc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996368Z   test_meta_outplace_erfc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996561Z   test_meta_outplace_erfc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996714Z   test_meta_outplace_erfc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996853Z   test_meta_outplace_erfc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2996993Z   test_meta_outplace_erfc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2997135Z   test_meta_outplace_erfinv_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2997288Z   test_meta_outplace_erfinv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2997434Z   test_meta_outplace_erfinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2997581Z   test_meta_outplace_erfinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2997724Z   test_meta_outplace_erfinv_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2997868Z   test_meta_outplace_erfinv_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2998003Z   test_meta_outplace_erfinv_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2998145Z   test_meta_outplace_erfinv_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2998289Z   test_meta_outplace_erfinv_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.2998435Z   test_meta_outplace_exp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2998576Z   test_meta_outplace_exp2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2998755Z   test_meta_outplace_exp2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2998898Z   test_meta_outplace_exp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999041Z   test_meta_outplace_exp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999177Z   test_meta_outplace_exp2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999320Z   test_meta_outplace_exp2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999459Z   test_meta_outplace_exp2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999623Z   test_meta_outplace_exp2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999762Z   test_meta_outplace_exp2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.2999906Z   test_meta_outplace_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000048Z   test_meta_outplace_exp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000201Z   test_meta_outplace_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000337Z   test_meta_outplace_exp_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000483Z   test_meta_outplace_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000627Z   test_meta_outplace_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000769Z   test_meta_outplace_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3000908Z   test_meta_outplace_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001048Z   test_meta_outplace_exp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001187Z   test_meta_outplace_exp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001326Z   test_meta_outplace_exp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001461Z   test_meta_outplace_exp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001598Z   test_meta_outplace_exp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3001752Z   test_meta_outplace_expand_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3001900Z   test_meta_outplace_expand_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002057Z   test_meta_outplace_expand_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002212Z   test_meta_outplace_expand_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002366Z   test_meta_outplace_expand_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002512Z   test_meta_outplace_expand_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002648Z   test_meta_outplace_expand_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002799Z   test_meta_outplace_expand_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3002947Z   test_meta_outplace_expand_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3003096Z   test_meta_outplace_expand_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3003244Z   test_meta_outplace_expand_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3003396Z   test_meta_outplace_expand_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3003543Z   test_meta_outplace_expand_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3003688Z   test_meta_outplace_expand_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3003834Z   test_meta_outplace_expand_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3003985Z   test_meta_outplace_expand_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004130Z   test_meta_outplace_expand_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004305Z   test_meta_outplace_expand_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004452Z   test_meta_outplace_expand_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004597Z   test_meta_outplace_expand_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004739Z   test_meta_outplace_expand_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3004884Z   test_meta_outplace_expand_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3005029Z   test_meta_outplace_expand_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3005187Z   test_meta_outplace_expand_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3005335Z   test_meta_outplace_expm1_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3005477Z   test_meta_outplace_expm1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3005624Z   test_meta_outplace_expm1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3005767Z   test_meta_outplace_expm1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3005912Z   test_meta_outplace_expm1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006056Z   test_meta_outplace_expm1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006199Z   test_meta_outplace_expm1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006332Z   test_meta_outplace_expm1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006477Z   test_meta_outplace_expm1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006616Z   test_meta_outplace_expm1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3006759Z   test_meta_outplace_eye_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.3006899Z   test_meta_outplace_eye_cuda_bool (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3007048Z   test_meta_outplace_eye_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3007192Z   test_meta_outplace_eye_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3007334Z   test_meta_outplace_eye_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.3007468Z   test_meta_outplace_eye_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.061s)
2022-11-23T01:45:56.3007607Z   test_meta_outplace_eye_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3007745Z   test_meta_outplace_eye_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3007886Z   test_meta_outplace_eye_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3008023Z   test_meta_outplace_eye_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3008166Z   test_meta_outplace_eye_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3008303Z   test_meta_outplace_eye_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.062s)
2022-11-23T01:45:56.3008448Z   test_meta_outplace_fft_fft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3008595Z   test_meta_outplace_fft_fft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3008749Z   test_meta_outplace_fft_fft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3008898Z   test_meta_outplace_fft_fft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009047Z   test_meta_outplace_fft_fft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009196Z   test_meta_outplace_fft_fft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009340Z   test_meta_outplace_fft_fft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009489Z   test_meta_outplace_fft_fft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009664Z   test_meta_outplace_fft_fft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009801Z   test_meta_outplace_fft_fft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3009947Z   test_meta_outplace_fft_fft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010092Z   test_meta_outplace_fft_fft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010235Z   test_meta_outplace_fft_fft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010388Z   test_meta_outplace_fft_fft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010538Z   test_meta_outplace_fft_fft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010706Z   test_meta_outplace_fft_fft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010855Z   test_meta_outplace_fft_fft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3010994Z   test_meta_outplace_fft_fft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011142Z   test_meta_outplace_fft_fft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011286Z   test_meta_outplace_fft_fft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011432Z   test_meta_outplace_fft_fft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011574Z   test_meta_outplace_fft_fft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011722Z   test_meta_outplace_fft_fft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3011867Z   test_meta_outplace_fft_fft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012013Z   test_meta_outplace_fft_fftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012159Z   test_meta_outplace_fft_fftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012312Z   test_meta_outplace_fft_fftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012465Z   test_meta_outplace_fft_fftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012615Z   test_meta_outplace_fft_fftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012760Z   test_meta_outplace_fft_fftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3012989Z   test_meta_outplace_fft_fftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013141Z   test_meta_outplace_fft_fftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013317Z   test_meta_outplace_fft_fftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013484Z   test_meta_outplace_fft_fftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013628Z   test_meta_outplace_fft_fftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013772Z   test_meta_outplace_fft_fftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3013929Z   test_meta_outplace_fft_fftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014083Z   test_meta_outplace_fft_fftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014242Z   test_meta_outplace_fft_fftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014399Z   test_meta_outplace_fft_fftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014557Z   test_meta_outplace_fft_fftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014735Z   test_meta_outplace_fft_fftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3014885Z   test_meta_outplace_fft_fftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015037Z   test_meta_outplace_fft_fftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015191Z   test_meta_outplace_fft_fftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015374Z   test_meta_outplace_fft_fftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015520Z   test_meta_outplace_fft_fftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015667Z   test_meta_outplace_fft_fftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015812Z   test_meta_outplace_fft_fftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3015957Z   test_meta_outplace_fft_hfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3016099Z   test_meta_outplace_fft_hfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3016285Z   test_meta_outplace_fft_hfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3016434Z   test_meta_outplace_fft_hfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3016580Z   test_meta_outplace_fft_hfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3016728Z   test_meta_outplace_fft_hfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3016872Z   test_meta_outplace_fft_hfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3017019Z   test_meta_outplace_fft_hfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3017163Z   test_meta_outplace_fft_hfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3017300Z   test_meta_outplace_fft_hfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3017446Z   test_meta_outplace_fft_hfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3017591Z   test_meta_outplace_fft_hfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3017735Z   test_meta_outplace_fft_hfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3017888Z   test_meta_outplace_fft_hfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3018045Z   test_meta_outplace_fft_hfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3018193Z   test_meta_outplace_fft_hfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3018340Z   test_meta_outplace_fft_hfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3018484Z   test_meta_outplace_fft_hfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3018618Z   test_meta_outplace_fft_hfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3018765Z   test_meta_outplace_fft_hfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3019029Z   test_meta_outplace_fft_hfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3019173Z   test_meta_outplace_fft_hfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3019314Z   test_meta_outplace_fft_hfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3019461Z   test_meta_outplace_fft_hfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3019601Z   test_meta_outplace_fft_hfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3019759Z   test_meta_outplace_fft_hfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3019904Z   test_meta_outplace_fft_hfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020053Z   test_meta_outplace_fft_hfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020202Z   test_meta_outplace_fft_hfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3020351Z   test_meta_outplace_fft_hfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020493Z   test_meta_outplace_fft_hfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020637Z   test_meta_outplace_fft_hfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020830Z   test_meta_outplace_fft_hfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3020975Z   test_meta_outplace_fft_hfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3021111Z   test_meta_outplace_fft_hfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3021254Z   test_meta_outplace_fft_hfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3021399Z   test_meta_outplace_fft_ifft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3021550Z   test_meta_outplace_fft_ifft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3021702Z   test_meta_outplace_fft_ifft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3021883Z   test_meta_outplace_fft_ifft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022030Z   test_meta_outplace_fft_ifft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022185Z   test_meta_outplace_fft_ifft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022323Z   test_meta_outplace_fft_ifft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022467Z   test_meta_outplace_fft_ifft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022612Z   test_meta_outplace_fft_ifft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022753Z   test_meta_outplace_fft_ifft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3022895Z   test_meta_outplace_fft_ifft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023037Z   test_meta_outplace_fft_ifft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023186Z   test_meta_outplace_fft_ifft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3023337Z   test_meta_outplace_fft_ifft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023480Z   test_meta_outplace_fft_ifft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023631Z   test_meta_outplace_fft_ifft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023780Z   test_meta_outplace_fft_ifft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3023923Z   test_meta_outplace_fft_ifft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024062Z   test_meta_outplace_fft_ifft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024206Z   test_meta_outplace_fft_ifft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024349Z   test_meta_outplace_fft_ifft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024495Z   test_meta_outplace_fft_ifft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024640Z   test_meta_outplace_fft_ifft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024775Z   test_meta_outplace_fft_ifft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3024919Z   test_meta_outplace_fft_ifftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025071Z   test_meta_outplace_fft_ifftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025220Z   test_meta_outplace_fft_ifftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025367Z   test_meta_outplace_fft_ifftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025515Z   test_meta_outplace_fft_ifftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025661Z   test_meta_outplace_fft_ifftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025805Z   test_meta_outplace_fft_ifftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3025944Z   test_meta_outplace_fft_ifftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3026087Z   test_meta_outplace_fft_ifftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3026259Z   test_meta_outplace_fft_ifftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3026405Z   test_meta_outplace_fft_ifftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3026549Z   test_meta_outplace_fft_ifftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3026706Z   test_meta_outplace_fft_ifftshift_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3026857Z   test_meta_outplace_fft_ifftshift_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027017Z   test_meta_outplace_fft_ifftshift_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027189Z   test_meta_outplace_fft_ifftshift_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027346Z   test_meta_outplace_fft_ifftshift_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027499Z   test_meta_outplace_fft_ifftshift_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027656Z   test_meta_outplace_fft_ifftshift_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027809Z   test_meta_outplace_fft_ifftshift_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3027961Z   test_meta_outplace_fft_ifftshift_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3028108Z   test_meta_outplace_fft_ifftshift_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3028254Z   test_meta_outplace_fft_ifftshift_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3028398Z   test_meta_outplace_fft_ifftshift_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3028547Z   test_meta_outplace_fft_ifftshift_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3028695Z   test_meta_outplace_fft_ihfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3028845Z   test_meta_outplace_fft_ihfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3028993Z   test_meta_outplace_fft_ihfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3029137Z   test_meta_outplace_fft_ihfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3029282Z   test_meta_outplace_fft_ihfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3029425Z   test_meta_outplace_fft_ihfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3029568Z   test_meta_outplace_fft_ihfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3029704Z   test_meta_outplace_fft_ihfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3029857Z   test_meta_outplace_fft_ihfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3030005Z   test_meta_outplace_fft_ihfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3030156Z   test_meta_outplace_fft_ihfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3030383Z   test_meta_outplace_fft_ihfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3030548Z   test_meta_outplace_fft_ihfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3030692Z   test_meta_outplace_fft_ihfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3030837Z   test_meta_outplace_fft_ihfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3030973Z   test_meta_outplace_fft_ihfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3031122Z   test_meta_outplace_fft_ihfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3031268Z   test_meta_outplace_fft_ihfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3031410Z   test_meta_outplace_fft_ihfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3031561Z   test_meta_outplace_fft_ihfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3031739Z   test_meta_outplace_fft_ihfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3031886Z   test_meta_outplace_fft_ihfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032033Z   test_meta_outplace_fft_ihfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032169Z   test_meta_outplace_fft_ihfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032311Z   test_meta_outplace_fft_ihfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032457Z   test_meta_outplace_fft_ihfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032632Z   test_meta_outplace_fft_ihfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3032775Z   test_meta_outplace_fft_irfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3032934Z   test_meta_outplace_fft_irfft2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033088Z   test_meta_outplace_fft_irfft2_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033242Z   test_meta_outplace_fft_irfft2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033381Z   test_meta_outplace_fft_irfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3033525Z   test_meta_outplace_fft_irfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033668Z   test_meta_outplace_fft_irfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033813Z   test_meta_outplace_fft_irfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3033958Z   test_meta_outplace_fft_irfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034099Z   test_meta_outplace_fft_irfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034242Z   test_meta_outplace_fft_irfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034388Z   test_meta_outplace_fft_irfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034534Z   test_meta_outplace_fft_irfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034678Z   test_meta_outplace_fft_irfft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034830Z   test_meta_outplace_fft_irfft_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3034976Z   test_meta_outplace_fft_irfft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3035126Z   test_meta_outplace_fft_irfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3035273Z   test_meta_outplace_fft_irfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3035415Z   test_meta_outplace_fft_irfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3035561Z   test_meta_outplace_fft_irfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3035707Z   test_meta_outplace_fft_irfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3035842Z   test_meta_outplace_fft_irfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3035987Z   test_meta_outplace_fft_irfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3036130Z   test_meta_outplace_fft_irfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3036273Z   test_meta_outplace_fft_irfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3036427Z   test_meta_outplace_fft_irfftn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3036583Z   test_meta_outplace_fft_irfftn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3036735Z   test_meta_outplace_fft_irfftn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3036885Z   test_meta_outplace_fft_irfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3037049Z   test_meta_outplace_fft_irfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037194Z   test_meta_outplace_fft_irfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037340Z   test_meta_outplace_fft_irfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037483Z   test_meta_outplace_fft_irfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037625Z   test_meta_outplace_fft_irfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037775Z   test_meta_outplace_fft_irfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3037950Z   test_meta_outplace_fft_irfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3038096Z   test_meta_outplace_fft_rfft2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038238Z   test_meta_outplace_fft_rfft2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038387Z   test_meta_outplace_fft_rfft2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038529Z   test_meta_outplace_fft_rfft2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038672Z   test_meta_outplace_fft_rfft2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038815Z   test_meta_outplace_fft_rfft2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3038958Z   test_meta_outplace_fft_rfft2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039102Z   test_meta_outplace_fft_rfft2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039244Z   test_meta_outplace_fft_rfft2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039391Z   test_meta_outplace_fft_rfft_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039529Z   test_meta_outplace_fft_rfft_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039676Z   test_meta_outplace_fft_rfft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039817Z   test_meta_outplace_fft_rfft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3039962Z   test_meta_outplace_fft_rfft_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040102Z   test_meta_outplace_fft_rfft_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040247Z   test_meta_outplace_fft_rfft_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040388Z   test_meta_outplace_fft_rfft_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040530Z   test_meta_outplace_fft_rfft_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040666Z   test_meta_outplace_fft_rfftn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040813Z   test_meta_outplace_fft_rfftn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3040958Z   test_meta_outplace_fft_rfftn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041108Z   test_meta_outplace_fft_rfftn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041254Z   test_meta_outplace_fft_rfftn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041398Z   test_meta_outplace_fft_rfftn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041542Z   test_meta_outplace_fft_rfftn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041683Z   test_meta_outplace_fft_rfftn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041819Z   test_meta_outplace_fft_rfftn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3041966Z   test_meta_outplace_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042109Z   test_meta_outplace_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042253Z   test_meta_outplace_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042434Z   test_meta_outplace_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042580Z   test_meta_outplace_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042724Z   test_meta_outplace_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3042870Z   test_meta_outplace_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043004Z   test_meta_outplace_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043147Z   test_meta_outplace_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043313Z   test_meta_outplace_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043451Z   test_meta_outplace_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043592Z   test_meta_outplace_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043728Z   test_meta_outplace_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3043882Z   test_meta_outplace_flatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044027Z   test_meta_outplace_flatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044172Z   test_meta_outplace_flatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044324Z   test_meta_outplace_flatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3044476Z   test_meta_outplace_flatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044622Z   test_meta_outplace_flatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044770Z   test_meta_outplace_flatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3044914Z   test_meta_outplace_flatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045057Z   test_meta_outplace_flatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045203Z   test_meta_outplace_flatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045339Z   test_meta_outplace_flatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045485Z   test_meta_outplace_flatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045624Z   test_meta_outplace_flatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3045768Z   test_meta_outplace_flip_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3045909Z   test_meta_outplace_flip_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046057Z   test_meta_outplace_flip_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046206Z   test_meta_outplace_flip_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046349Z   test_meta_outplace_flip_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046486Z   test_meta_outplace_flip_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046629Z   test_meta_outplace_flip_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046769Z   test_meta_outplace_flip_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3046910Z   test_meta_outplace_flip_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3047046Z   test_meta_outplace_flip_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3047187Z   test_meta_outplace_flip_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3047324Z   test_meta_outplace_flip_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3047475Z   test_meta_outplace_fliplr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3047611Z   test_meta_outplace_fliplr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3047763Z   test_meta_outplace_fliplr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3047939Z   test_meta_outplace_fliplr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048086Z   test_meta_outplace_fliplr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048232Z   test_meta_outplace_fliplr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048377Z   test_meta_outplace_fliplr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048524Z   test_meta_outplace_fliplr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048667Z   test_meta_outplace_fliplr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048832Z   test_meta_outplace_fliplr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3048967Z   test_meta_outplace_fliplr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049106Z   test_meta_outplace_fliplr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049256Z   test_meta_outplace_flipud_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049397Z   test_meta_outplace_flipud_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049546Z   test_meta_outplace_flipud_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049694Z   test_meta_outplace_flipud_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049838Z   test_meta_outplace_flipud_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3049984Z   test_meta_outplace_flipud_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050124Z   test_meta_outplace_flipud_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050266Z   test_meta_outplace_flipud_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050408Z   test_meta_outplace_flipud_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050554Z   test_meta_outplace_flipud_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050694Z   test_meta_outplace_flipud_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050832Z   test_meta_outplace_flipud_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3050978Z   test_meta_outplace_float_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051125Z   test_meta_outplace_float_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051265Z   test_meta_outplace_float_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051412Z   test_meta_outplace_float_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051559Z   test_meta_outplace_float_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051702Z   test_meta_outplace_float_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051847Z   test_meta_outplace_float_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3051994Z   test_meta_outplace_float_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052136Z   test_meta_outplace_float_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052278Z   test_meta_outplace_float_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052410Z   test_meta_outplace_float_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052552Z   test_meta_outplace_float_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052690Z   test_meta_outplace_float_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3052848Z   test_meta_outplace_float_power_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3052997Z   test_meta_outplace_float_power_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3053153Z   test_meta_outplace_float_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3053332Z   test_meta_outplace_float_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3053485Z   test_meta_outplace_float_power_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3053626Z   test_meta_outplace_float_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3053772Z   test_meta_outplace_float_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3053922Z   test_meta_outplace_float_power_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3054070Z   test_meta_outplace_float_power_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3054292Z   test_meta_outplace_float_power_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3054440Z   test_meta_outplace_float_power_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3054585Z   test_meta_outplace_float_power_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3054734Z   test_meta_outplace_floor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3054869Z   test_meta_outplace_floor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055014Z   test_meta_outplace_floor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055155Z   test_meta_outplace_floor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055297Z   test_meta_outplace_floor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055439Z   test_meta_outplace_floor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055578Z   test_meta_outplace_floor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055720Z   test_meta_outplace_floor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3055860Z   test_meta_outplace_floor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3056019Z   test_meta_outplace_floor_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.3056166Z   test_meta_outplace_floor_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.3056320Z   test_meta_outplace_floor_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.3056473Z   test_meta_outplace_floor_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.3056627Z   test_meta_outplace_floor_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3056774Z   test_meta_outplace_floor_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3056917Z   test_meta_outplace_floor_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3057069Z   test_meta_outplace_floor_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3057213Z   test_meta_outplace_floor_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3057353Z   test_meta_outplace_fmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3057494Z   test_meta_outplace_fmax_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3057638Z   test_meta_outplace_fmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3057781Z   test_meta_outplace_fmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3057923Z   test_meta_outplace_fmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058063Z   test_meta_outplace_fmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058203Z   test_meta_outplace_fmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058345Z   test_meta_outplace_fmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058475Z   test_meta_outplace_fmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058612Z   test_meta_outplace_fmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3058781Z   test_meta_outplace_fmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3059038Z   test_meta_outplace_fmin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3059182Z   test_meta_outplace_fmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3059322Z   test_meta_outplace_fmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3059467Z   test_meta_outplace_fmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3059603Z   test_meta_outplace_fmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3059735Z   test_meta_outplace_fmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3059915Z   test_meta_outplace_fmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3060051Z   test_meta_outplace_fmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3060187Z   test_meta_outplace_fmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3060330Z   test_meta_outplace_fmod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3060472Z   test_meta_outplace_fmod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3060615Z   test_meta_outplace_fmod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3060757Z   test_meta_outplace_fmod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3060889Z   test_meta_outplace_fmod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3061026Z   test_meta_outplace_fmod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3061165Z   test_meta_outplace_fmod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3061306Z   test_meta_outplace_fmod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3061444Z   test_meta_outplace_fmod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3061590Z   test_meta_outplace_frac_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3061731Z   test_meta_outplace_frac_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3061871Z   test_meta_outplace_frac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3062005Z   test_meta_outplace_frac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3062147Z   test_meta_outplace_frexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3062291Z   test_meta_outplace_frexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3062435Z   test_meta_outplace_frexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3062582Z   test_meta_outplace_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3062726Z   test_meta_outplace_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3062875Z   test_meta_outplace_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063025Z   test_meta_outplace_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063166Z   test_meta_outplace_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063306Z   test_meta_outplace_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063446Z   test_meta_outplace_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063588Z   test_meta_outplace_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063730Z   test_meta_outplace_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3063875Z   test_meta_outplace_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3064014Z   test_meta_outplace_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3064153Z   test_meta_outplace_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3064315Z   test_meta_outplace_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3064468Z   test_meta_outplace_full_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3064613Z   test_meta_outplace_full_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3064767Z   test_meta_outplace_full_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3064919Z   test_meta_outplace_full_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3065068Z   test_meta_outplace_full_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065236Z   test_meta_outplace_full_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065380Z   test_meta_outplace_full_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065518Z   test_meta_outplace_full_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065666Z   test_meta_outplace_full_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065813Z   test_meta_outplace_full_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3065958Z   test_meta_outplace_full_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3066102Z   test_meta_outplace_full_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3066246Z   test_meta_outplace_gather_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3066390Z   test_meta_outplace_gather_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3066539Z   test_meta_outplace_gather_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3066691Z   test_meta_outplace_gather_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3066830Z   test_meta_outplace_gather_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3066975Z   test_meta_outplace_gather_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067124Z   test_meta_outplace_gather_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067268Z   test_meta_outplace_gather_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067411Z   test_meta_outplace_gather_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067554Z   test_meta_outplace_gather_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067695Z   test_meta_outplace_gather_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067836Z   test_meta_outplace_gather_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3067972Z   test_meta_outplace_gcd_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3068112Z   test_meta_outplace_gcd_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3068247Z   test_meta_outplace_gcd_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3068389Z   test_meta_outplace_gcd_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3068523Z   test_meta_outplace_gcd_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3068665Z   test_meta_outplace_ge_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3068804Z   test_meta_outplace_ge_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3068945Z   test_meta_outplace_ge_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3069079Z   test_meta_outplace_ge_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3069218Z   test_meta_outplace_ge_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3069362Z   test_meta_outplace_ge_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3069503Z   test_meta_outplace_ge_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3069638Z   test_meta_outplace_ge_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3069803Z   test_meta_outplace_ge_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3069941Z   test_meta_outplace_ge_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3070092Z   test_meta_outplace_geqrf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.164s)
2022-11-23T01:45:56.3070231Z   test_meta_outplace_geqrf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.152s)
2022-11-23T01:45:56.3070450Z   test_meta_outplace_geqrf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.150s)
2022-11-23T01:45:56.3070599Z   test_meta_outplace_geqrf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.152s)
2022-11-23T01:45:56.3070778Z   test_meta_outplace_gradient_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.3070933Z   test_meta_outplace_gradient_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.3071086Z   test_meta_outplace_gradient_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.3071239Z   test_meta_outplace_gradient_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.041s)
2022-11-23T01:45:56.3071384Z   test_meta_outplace_gradient_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.3071521Z   test_meta_outplace_gradient_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.3071668Z   test_meta_outplace_gradient_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.3071815Z   test_meta_outplace_gradient_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.3071960Z   test_meta_outplace_gradient_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.3072106Z   test_meta_outplace_gradient_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.3072266Z   test_meta_outplace_grid_sampler_2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.475s)
2022-11-23T01:45:56.3072425Z   test_meta_outplace_grid_sampler_2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.464s)
2022-11-23T01:45:56.3072583Z   test_meta_outplace_grid_sampler_2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.463s)
2022-11-23T01:45:56.3072718Z   test_meta_outplace_gt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3072857Z   test_meta_outplace_gt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3072997Z   test_meta_outplace_gt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3073139Z   test_meta_outplace_gt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073276Z   test_meta_outplace_gt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073414Z   test_meta_outplace_gt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073554Z   test_meta_outplace_gt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073690Z   test_meta_outplace_gt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073820Z   test_meta_outplace_gt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3073960Z   test_meta_outplace_gt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3074106Z   test_meta_outplace_half_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074246Z   test_meta_outplace_half_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074394Z   test_meta_outplace_half_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074541Z   test_meta_outplace_half_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074685Z   test_meta_outplace_half_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074835Z   test_meta_outplace_half_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3074969Z   test_meta_outplace_half_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075115Z   test_meta_outplace_half_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075255Z   test_meta_outplace_half_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075420Z   test_meta_outplace_half_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075561Z   test_meta_outplace_half_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075698Z   test_meta_outplace_half_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3075854Z   test_meta_outplace_heaviside_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3076002Z   test_meta_outplace_heaviside_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3076145Z   test_meta_outplace_heaviside_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3076315Z   test_meta_outplace_heaviside_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3076459Z   test_meta_outplace_heaviside_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3076608Z   test_meta_outplace_heaviside_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3076757Z   test_meta_outplace_heaviside_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3076903Z   test_meta_outplace_heaviside_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3077050Z   test_meta_outplace_heaviside_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3077196Z   test_meta_outplace_heaviside_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3077333Z   test_meta_outplace_histc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.801s)
2022-11-23T01:45:56.3077478Z   test_meta_outplace_histc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.801s)
2022-11-23T01:45:56.3077626Z   test_meta_outplace_histc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.803s)
2022-11-23T01:45:56.3077770Z   test_meta_outplace_histc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.802s)
2022-11-23T01:45:56.3077907Z   test_meta_outplace_histc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.802s)
2022-11-23T01:45:56.3078050Z   test_meta_outplace_histc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.802s)
2022-11-23T01:45:56.3078197Z   test_meta_outplace_hsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3078340Z   test_meta_outplace_hsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3078491Z   test_meta_outplace_hsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3078633Z   test_meta_outplace_hsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3078780Z   test_meta_outplace_hsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3078925Z   test_meta_outplace_hsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079072Z   test_meta_outplace_hsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079218Z   test_meta_outplace_hsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079361Z   test_meta_outplace_hsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079507Z   test_meta_outplace_hsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079650Z   test_meta_outplace_hsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079785Z   test_meta_outplace_hsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3079929Z   test_meta_outplace_hsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3080077Z   test_meta_outplace_hstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080219Z   test_meta_outplace_hstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080373Z   test_meta_outplace_hstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080521Z   test_meta_outplace_hstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080665Z   test_meta_outplace_hstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080841Z   test_meta_outplace_hstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3080978Z   test_meta_outplace_hstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081124Z   test_meta_outplace_hstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081265Z   test_meta_outplace_hstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081409Z   test_meta_outplace_hstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081550Z   test_meta_outplace_hstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081717Z   test_meta_outplace_hstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3081861Z   test_meta_outplace_hstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3082009Z   test_meta_outplace_hypot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3082151Z   test_meta_outplace_hypot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3082296Z   test_meta_outplace_hypot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3082441Z   test_meta_outplace_hypot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3082583Z   test_meta_outplace_i0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3082721Z   test_meta_outplace_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3082862Z   test_meta_outplace_i0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083002Z   test_meta_outplace_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083143Z   test_meta_outplace_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083274Z   test_meta_outplace_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083412Z   test_meta_outplace_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083550Z   test_meta_outplace_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083689Z   test_meta_outplace_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083826Z   test_meta_outplace_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3083971Z   test_meta_outplace_igamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3084117Z   test_meta_outplace_igamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3084263Z   test_meta_outplace_igammac_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3084406Z   test_meta_outplace_igammac_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3084553Z   test_meta_outplace_imag_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3084701Z   test_meta_outplace_imag_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3084849Z   test_meta_outplace_imag_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3085004Z   test_meta_outplace_index_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3085149Z   test_meta_outplace_index_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3085304Z   test_meta_outplace_index_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3085458Z   test_meta_outplace_index_add_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3085600Z   test_meta_outplace_index_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3085750Z   test_meta_outplace_index_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3085898Z   test_meta_outplace_index_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086041Z   test_meta_outplace_index_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086217Z   test_meta_outplace_index_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086362Z   test_meta_outplace_index_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086508Z   test_meta_outplace_index_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086657Z   test_meta_outplace_index_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086804Z   test_meta_outplace_index_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3086949Z   test_meta_outplace_index_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087093Z   test_meta_outplace_index_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087275Z   test_meta_outplace_index_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087430Z   test_meta_outplace_index_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087585Z   test_meta_outplace_index_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087732Z   test_meta_outplace_index_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3087877Z   test_meta_outplace_index_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088027Z   test_meta_outplace_index_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088166Z   test_meta_outplace_index_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088309Z   test_meta_outplace_index_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088454Z   test_meta_outplace_index_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088603Z   test_meta_outplace_index_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3088753Z   test_meta_outplace_index_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3088898Z   test_meta_outplace_index_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089056Z   test_meta_outplace_index_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089208Z   test_meta_outplace_index_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089350Z   test_meta_outplace_index_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089500Z   test_meta_outplace_index_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089645Z   test_meta_outplace_index_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089789Z   test_meta_outplace_index_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3089935Z   test_meta_outplace_index_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3090076Z   test_meta_outplace_index_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3090219Z   test_meta_outplace_index_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3090367Z   test_meta_outplace_index_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3090511Z   test_meta_outplace_index_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3090658Z   test_meta_outplace_index_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3090814Z   test_meta_outplace_index_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3090964Z   test_meta_outplace_index_put_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091111Z   test_meta_outplace_index_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091262Z   test_meta_outplace_index_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091408Z   test_meta_outplace_index_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091551Z   test_meta_outplace_index_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091721Z   test_meta_outplace_index_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3091862Z   test_meta_outplace_index_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3092006Z   test_meta_outplace_index_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3092154Z   test_meta_outplace_index_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3092300Z   test_meta_outplace_index_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3092455Z   test_meta_outplace_index_reduce_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3092642Z   test_meta_outplace_index_reduce_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3092799Z   test_meta_outplace_index_reduce_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3092951Z   test_meta_outplace_index_reduce_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3093098Z   test_meta_outplace_index_reduce_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3093244Z   test_meta_outplace_index_reduce_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3093389Z   test_meta_outplace_index_reduce_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3093538Z   test_meta_outplace_index_reduce_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3093683Z   test_meta_outplace_index_reduce_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3093838Z   test_meta_outplace_index_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3093988Z   test_meta_outplace_index_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094145Z   test_meta_outplace_index_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094294Z   test_meta_outplace_index_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094452Z   test_meta_outplace_index_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094603Z   test_meta_outplace_index_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094755Z   test_meta_outplace_index_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3094908Z   test_meta_outplace_index_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095056Z   test_meta_outplace_index_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095201Z   test_meta_outplace_index_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095348Z   test_meta_outplace_index_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095489Z   test_meta_outplace_index_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095636Z   test_meta_outplace_index_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3095782Z   test_meta_outplace_inner_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3095931Z   test_meta_outplace_inner_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3096076Z   test_meta_outplace_inner_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3096225Z   test_meta_outplace_inner_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3096373Z   test_meta_outplace_inner_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3096521Z   test_meta_outplace_inner_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3096669Z   test_meta_outplace_int_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3096804Z   test_meta_outplace_int_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3096950Z   test_meta_outplace_int_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097123Z   test_meta_outplace_int_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097269Z   test_meta_outplace_int_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097411Z   test_meta_outplace_int_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097551Z   test_meta_outplace_int_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097691Z   test_meta_outplace_int_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097833Z   test_meta_outplace_int_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3097983Z   test_meta_outplace_int_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3098120Z   test_meta_outplace_int_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3098256Z   test_meta_outplace_int_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3098407Z   test_meta_outplace_isclose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.3098554Z   test_meta_outplace_isclose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3098712Z   test_meta_outplace_isclose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3098974Z   test_meta_outplace_isclose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3099123Z   test_meta_outplace_isclose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.3099264Z   test_meta_outplace_isclose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3099409Z   test_meta_outplace_isclose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3099557Z   test_meta_outplace_isclose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3099702Z   test_meta_outplace_isclose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3099845Z   test_meta_outplace_isclose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3099991Z   test_meta_outplace_isclose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3100134Z   test_meta_outplace_isclose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3100283Z   test_meta_outplace_isfinite_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3100419Z   test_meta_outplace_isfinite_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3100574Z   test_meta_outplace_isfinite_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3100725Z   test_meta_outplace_isfinite_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3100874Z   test_meta_outplace_isfinite_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3101024Z   test_meta_outplace_isfinite_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3101175Z   test_meta_outplace_isfinite_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3101323Z   test_meta_outplace_isfinite_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3101471Z   test_meta_outplace_isfinite_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3101610Z   test_meta_outplace_isfinite_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3101758Z   test_meta_outplace_isfinite_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3101901Z   test_meta_outplace_isfinite_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3102044Z   test_meta_outplace_isfinite_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3102187Z   test_meta_outplace_isin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3102331Z   test_meta_outplace_isin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3102475Z   test_meta_outplace_isin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3102662Z   test_meta_outplace_isin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3102799Z   test_meta_outplace_isin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3102939Z   test_meta_outplace_isin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3103079Z   test_meta_outplace_isin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3103222Z   test_meta_outplace_isin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3103368Z   test_meta_outplace_isinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3103510Z   test_meta_outplace_isinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3103690Z   test_meta_outplace_isinf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3103838Z   test_meta_outplace_isinf_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3103977Z   test_meta_outplace_isinf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104126Z   test_meta_outplace_isinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104270Z   test_meta_outplace_isinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104413Z   test_meta_outplace_isinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104555Z   test_meta_outplace_isinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104697Z   test_meta_outplace_isinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104837Z   test_meta_outplace_isinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3104982Z   test_meta_outplace_isinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3105112Z   test_meta_outplace_isinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3105262Z   test_meta_outplace_isnan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3105408Z   test_meta_outplace_isnan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3105558Z   test_meta_outplace_isnan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3105704Z   test_meta_outplace_isnan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3105847Z   test_meta_outplace_isnan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3105992Z   test_meta_outplace_isnan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106134Z   test_meta_outplace_isnan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106277Z   test_meta_outplace_isnan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106414Z   test_meta_outplace_isnan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106553Z   test_meta_outplace_isnan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106694Z   test_meta_outplace_isnan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106833Z   test_meta_outplace_isnan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3106987Z   test_meta_outplace_isneginf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107134Z   test_meta_outplace_isneginf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107283Z   test_meta_outplace_isneginf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107430Z   test_meta_outplace_isneginf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107566Z   test_meta_outplace_isneginf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107714Z   test_meta_outplace_isneginf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3107858Z   test_meta_outplace_isneginf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108003Z   test_meta_outplace_isneginf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108174Z   test_meta_outplace_isneginf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108320Z   test_meta_outplace_isneginf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108471Z   test_meta_outplace_isposinf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108616Z   test_meta_outplace_isposinf_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108758Z   test_meta_outplace_isposinf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3108905Z   test_meta_outplace_isposinf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109075Z   test_meta_outplace_isposinf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109220Z   test_meta_outplace_isposinf_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109364Z   test_meta_outplace_isposinf_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109511Z   test_meta_outplace_isposinf_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109654Z   test_meta_outplace_isposinf_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109798Z   test_meta_outplace_isposinf_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3109936Z   test_meta_outplace_isreal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110085Z   test_meta_outplace_isreal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110238Z   test_meta_outplace_isreal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110455Z   test_meta_outplace_isreal_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110617Z   test_meta_outplace_isreal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110764Z   test_meta_outplace_isreal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3110911Z   test_meta_outplace_isreal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111054Z   test_meta_outplace_isreal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111189Z   test_meta_outplace_isreal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111335Z   test_meta_outplace_isreal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111476Z   test_meta_outplace_isreal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111617Z   test_meta_outplace_isreal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111759Z   test_meta_outplace_isreal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3111910Z   test_meta_outplace_istft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3112056Z   test_meta_outplace_istft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.063s)
2022-11-23T01:45:56.3112233Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3112395Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3112574Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3112748Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3112921Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113086Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113254Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113421Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113584Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113770Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3113927Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3114096Z   test_meta_outplace_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3114275Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3114450Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3114655Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3114835Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115016Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115192Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115362Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115527Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115702Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3115873Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116051Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116218Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116381Z   test_meta_outplace_jiterator_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116538Z   test_meta_outplace_jiterator_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116701Z   test_meta_outplace_jiterator_binary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3116863Z   test_meta_outplace_jiterator_binary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117013Z   test_meta_outplace_jiterator_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117170Z   test_meta_outplace_jiterator_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117325Z   test_meta_outplace_jiterator_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117482Z   test_meta_outplace_jiterator_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117640Z   test_meta_outplace_jiterator_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117794Z   test_meta_outplace_jiterator_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3117950Z   test_meta_outplace_jiterator_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118098Z   test_meta_outplace_jiterator_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118274Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118438Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118617Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118793Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3118987Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3119167Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3119339Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3119510Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3119680Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3119852Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3120036Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3120206Z   test_meta_outplace_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3120366Z   test_meta_outplace_jiterator_unary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3120523Z   test_meta_outplace_jiterator_unary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3120682Z   test_meta_outplace_jiterator_unary_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3120841Z   test_meta_outplace_jiterator_unary_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3120996Z   test_meta_outplace_jiterator_unary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121153Z   test_meta_outplace_jiterator_unary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121301Z   test_meta_outplace_jiterator_unary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121454Z   test_meta_outplace_jiterator_unary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121615Z   test_meta_outplace_jiterator_unary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121768Z   test_meta_outplace_jiterator_unary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3121922Z   test_meta_outplace_jiterator_unary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3122079Z   test_meta_outplace_jiterator_unary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3122227Z   test_meta_outplace_kron_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3122369Z   test_meta_outplace_kron_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3122510Z   test_meta_outplace_kron_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3122663Z   test_meta_outplace_kron_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3122808Z   test_meta_outplace_kron_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3122951Z   test_meta_outplace_kron_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123097Z   test_meta_outplace_kron_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123241Z   test_meta_outplace_kron_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123382Z   test_meta_outplace_kron_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123522Z   test_meta_outplace_kron_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123684Z   test_meta_outplace_kron_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123830Z   test_meta_outplace_kron_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3123992Z   test_meta_outplace_kthvalue_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124139Z   test_meta_outplace_kthvalue_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124281Z   test_meta_outplace_kthvalue_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124455Z   test_meta_outplace_kthvalue_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124604Z   test_meta_outplace_kthvalue_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124751Z   test_meta_outplace_kthvalue_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3124900Z   test_meta_outplace_kthvalue_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3125037Z   test_meta_outplace_kthvalue_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3125177Z   test_meta_outplace_lcm_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3125313Z   test_meta_outplace_lcm_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3125468Z   test_meta_outplace_lcm_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3125607Z   test_meta_outplace_lcm_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3125743Z   test_meta_outplace_lcm_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3125893Z   test_meta_outplace_ldexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3126037Z   test_meta_outplace_ldexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3126181Z   test_meta_outplace_ldexp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3126331Z   test_meta_outplace_ldexp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3126476Z   test_meta_outplace_ldexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3126622Z   test_meta_outplace_ldexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3126769Z   test_meta_outplace_ldexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3126914Z   test_meta_outplace_ldexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3127058Z   test_meta_outplace_ldexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3127203Z   test_meta_outplace_ldexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3127337Z   test_meta_outplace_ldexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3127475Z   test_meta_outplace_ldexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3127614Z   test_meta_outplace_le_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3127754Z   test_meta_outplace_le_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3127896Z   test_meta_outplace_le_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3128036Z   test_meta_outplace_le_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3128177Z   test_meta_outplace_le_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3128314Z   test_meta_outplace_le_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3128446Z   test_meta_outplace_le_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3128581Z   test_meta_outplace_le_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3128719Z   test_meta_outplace_le_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3128858Z   test_meta_outplace_le_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3129003Z   test_meta_outplace_lerp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3129151Z   test_meta_outplace_lerp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.3129299Z   test_meta_outplace_lerp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.3129442Z   test_meta_outplace_lerp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3129583Z   test_meta_outplace_lerp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.3129726Z   test_meta_outplace_lerp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.034s)
2022-11-23T01:45:56.3129871Z   test_meta_outplace_lgamma_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130044Z   test_meta_outplace_lgamma_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130195Z   test_meta_outplace_lgamma_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130341Z   test_meta_outplace_lgamma_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130488Z   test_meta_outplace_lgamma_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130628Z   test_meta_outplace_lgamma_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130765Z   test_meta_outplace_lgamma_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3130943Z   test_meta_outplace_lgamma_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3131082Z   test_meta_outplace_lgamma_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3131245Z   test_meta_outplace_linalg_cholesky_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3131413Z   test_meta_outplace_linalg_cholesky_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3131569Z   test_meta_outplace_linalg_cholesky_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3131724Z   test_meta_outplace_linalg_cholesky_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3131890Z   test_meta_outplace_linalg_cholesky_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3132046Z   test_meta_outplace_linalg_cholesky_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3132204Z   test_meta_outplace_linalg_cholesky_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3132365Z   test_meta_outplace_linalg_cholesky_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3132522Z   test_meta_outplace_linalg_cond_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3132678Z   test_meta_outplace_linalg_cond_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3132830Z   test_meta_outplace_linalg_cond_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3132980Z   test_meta_outplace_linalg_cond_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3133139Z   test_meta_outplace_linalg_cross_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3133294Z   test_meta_outplace_linalg_cross_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3133441Z   test_meta_outplace_linalg_cross_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3133601Z   test_meta_outplace_linalg_cross_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3133754Z   test_meta_outplace_linalg_cross_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3133904Z   test_meta_outplace_linalg_cross_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3134057Z   test_meta_outplace_linalg_cross_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3134202Z   test_meta_outplace_linalg_cross_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3134353Z   test_meta_outplace_linalg_cross_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3134496Z   test_meta_outplace_linalg_cross_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3134644Z   test_meta_outplace_linalg_det_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3134795Z   test_meta_outplace_linalg_det_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3134947Z   test_meta_outplace_linalg_det_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3135094Z   test_meta_outplace_linalg_det_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3135261Z   test_meta_outplace_linalg_det_singular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.3135453Z   test_meta_outplace_linalg_det_singular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.3135617Z   test_meta_outplace_linalg_det_singular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3135778Z   test_meta_outplace_linalg_det_singular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3135933Z   test_meta_outplace_linalg_eig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.3136079Z   test_meta_outplace_linalg_eig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.3136226Z   test_meta_outplace_linalg_eig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.3136395Z   test_meta_outplace_linalg_eig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.3136552Z   test_meta_outplace_linalg_eigh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3136706Z   test_meta_outplace_linalg_eigh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3136860Z   test_meta_outplace_linalg_eigh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3137008Z   test_meta_outplace_linalg_eigh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3137167Z   test_meta_outplace_linalg_eigvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.118s)
2022-11-23T01:45:56.3137319Z   test_meta_outplace_linalg_eigvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:56.3137475Z   test_meta_outplace_linalg_eigvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.111s)
2022-11-23T01:45:56.3137630Z   test_meta_outplace_linalg_eigvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.112s)
2022-11-23T01:45:56.3137792Z   test_meta_outplace_linalg_eigvalsh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3137950Z   test_meta_outplace_linalg_eigvalsh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3138107Z   test_meta_outplace_linalg_eigvalsh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3138261Z   test_meta_outplace_linalg_eigvalsh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3138439Z   test_meta_outplace_linalg_householder_product_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.3138607Z   test_meta_outplace_linalg_householder_product_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.3138779Z   test_meta_outplace_linalg_householder_product_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.3139050Z   test_meta_outplace_linalg_householder_product_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.3139210Z   test_meta_outplace_linalg_inv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3139364Z   test_meta_outplace_linalg_inv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3139515Z   test_meta_outplace_linalg_inv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3139664Z   test_meta_outplace_linalg_inv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3139820Z   test_meta_outplace_linalg_inv_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3139976Z   test_meta_outplace_linalg_inv_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3140120Z   test_meta_outplace_linalg_inv_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3140270Z   test_meta_outplace_linalg_inv_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3140438Z   test_meta_outplace_linalg_ldl_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3140604Z   test_meta_outplace_linalg_ldl_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3140760Z   test_meta_outplace_linalg_ldl_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3141004Z   test_meta_outplace_linalg_ldl_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3141171Z   test_meta_outplace_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3141338Z   test_meta_outplace_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3141499Z   test_meta_outplace_linalg_ldl_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3141653Z   test_meta_outplace_linalg_ldl_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3141815Z   test_meta_outplace_linalg_ldl_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3142000Z   test_meta_outplace_linalg_ldl_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3142155Z   test_meta_outplace_linalg_ldl_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3142313Z   test_meta_outplace_linalg_ldl_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3142467Z   test_meta_outplace_linalg_lstsq_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.3142623Z   test_meta_outplace_linalg_lstsq_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.3142774Z   test_meta_outplace_linalg_lstsq_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3142920Z   test_meta_outplace_linalg_lstsq_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.3143093Z   test_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.3143268Z   test_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.3143439Z   test_meta_outplace_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3143602Z   test_meta_outplace_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.054s)
2022-11-23T01:45:56.3143759Z   test_meta_outplace_linalg_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3143910Z   test_meta_outplace_linalg_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3144062Z   test_meta_outplace_linalg_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3144208Z   test_meta_outplace_linalg_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3144363Z   test_meta_outplace_linalg_lu_factor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:56.3144522Z   test_meta_outplace_linalg_lu_factor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3144686Z   test_meta_outplace_linalg_lu_factor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3144840Z   test_meta_outplace_linalg_lu_factor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3145009Z   test_meta_outplace_linalg_lu_factor_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3145171Z   test_meta_outplace_linalg_lu_factor_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3145329Z   test_meta_outplace_linalg_lu_factor_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3145485Z   test_meta_outplace_linalg_lu_factor_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3145634Z   test_meta_outplace_linalg_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.029s)
2022-11-23T01:45:56.3145794Z   test_meta_outplace_linalg_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3145950Z   test_meta_outplace_linalg_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.100s)
2022-11-23T01:45:56.3146102Z   test_meta_outplace_linalg_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.102s)
2022-11-23T01:45:56.3146259Z   test_meta_outplace_linalg_matrix_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3146448Z   test_meta_outplace_linalg_matrix_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.3146611Z   test_meta_outplace_linalg_matrix_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3146770Z   test_meta_outplace_linalg_matrix_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3146931Z   test_meta_outplace_linalg_matrix_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3147078Z   test_meta_outplace_linalg_matrix_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3147244Z   test_meta_outplace_linalg_matrix_power_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3147439Z   test_meta_outplace_linalg_matrix_power_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3147599Z   test_meta_outplace_linalg_matrix_power_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3147760Z   test_meta_outplace_linalg_matrix_power_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3147925Z   test_meta_outplace_linalg_matrix_rank_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.223s)
2022-11-23T01:45:56.3148087Z   test_meta_outplace_linalg_matrix_rank_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.043s)
2022-11-23T01:45:56.3148243Z   test_meta_outplace_linalg_matrix_rank_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.3148391Z   test_meta_outplace_linalg_matrix_rank_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3148566Z   test_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3148743Z   test_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3148914Z   test_meta_outplace_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3149090Z   test_meta_outplace_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3149247Z   test_meta_outplace_linalg_multi_dot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3149407Z   test_meta_outplace_linalg_multi_dot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3149565Z   test_meta_outplace_linalg_multi_dot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3149721Z   test_meta_outplace_linalg_multi_dot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3149868Z   test_meta_outplace_linalg_multi_dot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3150027Z   test_meta_outplace_linalg_multi_dot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3150179Z   test_meta_outplace_linalg_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.099s)
2022-11-23T01:45:56.3150412Z   test_meta_outplace_linalg_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.157s)
2022-11-23T01:45:56.3150591Z   test_meta_outplace_linalg_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.122s)
2022-11-23T01:45:56.3150743Z   test_meta_outplace_linalg_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.099s)
2022-11-23T01:45:56.3150890Z   test_meta_outplace_linalg_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:56.3151036Z   test_meta_outplace_linalg_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.121s)
2022-11-23T01:45:56.3151218Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:56.3151396Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.3151577Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.3151754Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.074s)
2022-11-23T01:45:56.3151961Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.3152134Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.3152292Z   test_meta_outplace_linalg_pinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.098s)
2022-11-23T01:45:56.3152447Z   test_meta_outplace_linalg_pinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.3152600Z   test_meta_outplace_linalg_pinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3152764Z   test_meta_outplace_linalg_pinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3152935Z   test_meta_outplace_linalg_pinv_hermitian_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3153101Z   test_meta_outplace_linalg_pinv_hermitian_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3153269Z   test_meta_outplace_linalg_pinv_hermitian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3153447Z   test_meta_outplace_linalg_pinv_hermitian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3153715Z   test_meta_outplace_linalg_pinv_singular_cuda_complex128 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.3153947Z   test_meta_outplace_linalg_pinv_singular_cuda_complex64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.3154172Z   test_meta_outplace_linalg_pinv_singular_cuda_float32 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.3154401Z   test_meta_outplace_linalg_pinv_singular_cuda_float64 (__main__.TestMetaCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:45:56.3154558Z   test_meta_outplace_linalg_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.031s)
2022-11-23T01:45:56.3154702Z   test_meta_outplace_linalg_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3154851Z   test_meta_outplace_linalg_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3154997Z   test_meta_outplace_linalg_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3155159Z   test_meta_outplace_linalg_slogdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3155319Z   test_meta_outplace_linalg_slogdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3155478Z   test_meta_outplace_linalg_slogdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3155632Z   test_meta_outplace_linalg_slogdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3155791Z   test_meta_outplace_linalg_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.3155942Z   test_meta_outplace_linalg_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3156097Z   test_meta_outplace_linalg_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3156249Z   test_meta_outplace_linalg_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3156408Z   test_meta_outplace_linalg_solve_ex_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3156569Z   test_meta_outplace_linalg_solve_ex_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3156721Z   test_meta_outplace_linalg_solve_ex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3156876Z   test_meta_outplace_linalg_solve_ex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3157049Z   test_meta_outplace_linalg_solve_triangular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.243s)
2022-11-23T01:45:56.3157242Z   test_meta_outplace_linalg_solve_triangular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.243s)
2022-11-23T01:45:56.3157402Z   test_meta_outplace_linalg_solve_triangular_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.241s)
2022-11-23T01:45:56.3157566Z   test_meta_outplace_linalg_solve_triangular_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.242s)
2022-11-23T01:45:56.3157722Z   test_meta_outplace_linalg_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.298s)
2022-11-23T01:45:56.3157874Z   test_meta_outplace_linalg_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.067s)
2022-11-23T01:45:56.3158027Z   test_meta_outplace_linalg_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.3158193Z   test_meta_outplace_linalg_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.088s)
2022-11-23T01:45:56.3158353Z   test_meta_outplace_linalg_svdvals_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.3158512Z   test_meta_outplace_linalg_svdvals_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3158662Z   test_meta_outplace_linalg_svdvals_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3158816Z   test_meta_outplace_linalg_svdvals_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3158982Z   test_meta_outplace_linalg_tensorinv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3159140Z   test_meta_outplace_linalg_tensorinv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3159298Z   test_meta_outplace_linalg_tensorinv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3159453Z   test_meta_outplace_linalg_tensorinv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3159620Z   test_meta_outplace_linalg_tensorsolve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3159783Z   test_meta_outplace_linalg_tensorsolve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3159945Z   test_meta_outplace_linalg_tensorsolve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3160097Z   test_meta_outplace_linalg_tensorsolve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3160251Z   test_meta_outplace_linalg_vander_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3160412Z   test_meta_outplace_linalg_vander_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3160565Z   test_meta_outplace_linalg_vander_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3160717Z   test_meta_outplace_linalg_vander_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3160873Z   test_meta_outplace_linalg_vander_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3161021Z   test_meta_outplace_linalg_vander_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3161167Z   test_meta_outplace_linalg_vander_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3161312Z   test_meta_outplace_linalg_vander_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3161456Z   test_meta_outplace_linalg_vander_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3161610Z   test_meta_outplace_linalg_vecdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3161768Z   test_meta_outplace_linalg_vecdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3161923Z   test_meta_outplace_linalg_vecdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3162074Z   test_meta_outplace_linalg_vecdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3162234Z   test_meta_outplace_linalg_vecdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3162384Z   test_meta_outplace_linalg_vecdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3162545Z   test_meta_outplace_linalg_vector_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.204s)
2022-11-23T01:45:56.3162728Z   test_meta_outplace_linalg_vector_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.190s)
2022-11-23T01:45:56.3162893Z   test_meta_outplace_linalg_vector_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.192s)
2022-11-23T01:45:56.3163051Z   test_meta_outplace_linalg_vector_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.202s)
2022-11-23T01:45:56.3163207Z   test_meta_outplace_linalg_vector_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.184s)
2022-11-23T01:45:56.3163359Z   test_meta_outplace_linalg_vector_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.184s)
2022-11-23T01:45:56.3163532Z   test_meta_outplace_linspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3163686Z   test_meta_outplace_linspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3163841Z   test_meta_outplace_linspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3163988Z   test_meta_outplace_linspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3164136Z   test_meta_outplace_linspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3164280Z   test_meta_outplace_linspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3164430Z   test_meta_outplace_linspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3164578Z   test_meta_outplace_linspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3164725Z   test_meta_outplace_linspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3164870Z   test_meta_outplace_linspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3165019Z   test_meta_outplace_linspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3165153Z   test_meta_outplace_log10_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3165298Z   test_meta_outplace_log10_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3165447Z   test_meta_outplace_log10_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3165594Z   test_meta_outplace_log10_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3165737Z   test_meta_outplace_log10_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3165882Z   test_meta_outplace_log10_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166024Z   test_meta_outplace_log10_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166169Z   test_meta_outplace_log10_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166313Z   test_meta_outplace_log10_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166444Z   test_meta_outplace_log10_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166584Z   test_meta_outplace_log10_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166724Z   test_meta_outplace_log10_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3166872Z   test_meta_outplace_log1p_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167016Z   test_meta_outplace_log1p_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167158Z   test_meta_outplace_log1p_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167300Z   test_meta_outplace_log1p_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167446Z   test_meta_outplace_log1p_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167583Z   test_meta_outplace_log1p_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167725Z   test_meta_outplace_log1p_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3167863Z   test_meta_outplace_log1p_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3168030Z   test_meta_outplace_log1p_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3168168Z   test_meta_outplace_log1p_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3168311Z   test_meta_outplace_log2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3168451Z   test_meta_outplace_log2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3168599Z   test_meta_outplace_log2_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3168738Z   test_meta_outplace_log2_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3168881Z   test_meta_outplace_log2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169059Z   test_meta_outplace_log2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169203Z   test_meta_outplace_log2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169346Z   test_meta_outplace_log2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169489Z   test_meta_outplace_log2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169627Z   test_meta_outplace_log2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169768Z   test_meta_outplace_log2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3169898Z   test_meta_outplace_log2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170041Z   test_meta_outplace_log_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170182Z   test_meta_outplace_log_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170327Z   test_meta_outplace_log_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170473Z   test_meta_outplace_log_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170617Z   test_meta_outplace_log_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170758Z   test_meta_outplace_log_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3170899Z   test_meta_outplace_log_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171031Z   test_meta_outplace_log_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171170Z   test_meta_outplace_log_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171308Z   test_meta_outplace_log_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171449Z   test_meta_outplace_log_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171587Z   test_meta_outplace_log_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171725Z   test_meta_outplace_log_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3171880Z   test_meta_outplace_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172031Z   test_meta_outplace_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172174Z   test_meta_outplace_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172320Z   test_meta_outplace_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172486Z   test_meta_outplace_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172648Z   test_meta_outplace_log_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172820Z   test_meta_outplace_log_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3172987Z   test_meta_outplace_log_softmax_with_dtype_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173152Z   test_meta_outplace_log_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173316Z   test_meta_outplace_log_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173506Z   test_meta_outplace_log_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173664Z   test_meta_outplace_log_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173825Z   test_meta_outplace_log_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3173986Z   test_meta_outplace_log_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3174145Z   test_meta_outplace_log_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3174301Z   test_meta_outplace_log_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3174482Z   test_meta_outplace_log_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3174633Z   test_meta_outplace_logaddexp2_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3174785Z   test_meta_outplace_logaddexp2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3174928Z   test_meta_outplace_logaddexp2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3175074Z   test_meta_outplace_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3175229Z   test_meta_outplace_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3175375Z   test_meta_outplace_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3175530Z   test_meta_outplace_logcumsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3175686Z   test_meta_outplace_logcumsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3175842Z   test_meta_outplace_logcumsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3175997Z   test_meta_outplace_logcumsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3176137Z   test_meta_outplace_logdet_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3176290Z   test_meta_outplace_logdet_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3176435Z   test_meta_outplace_logdet_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3176583Z   test_meta_outplace_logdet_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3176734Z   test_meta_outplace_logical_and_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3176883Z   test_meta_outplace_logical_and_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3177040Z   test_meta_outplace_logical_and_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3177198Z   test_meta_outplace_logical_and_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3177350Z   test_meta_outplace_logical_and_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3177490Z   test_meta_outplace_logical_and_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3177637Z   test_meta_outplace_logical_and_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3177787Z   test_meta_outplace_logical_and_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3177934Z   test_meta_outplace_logical_and_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3178081Z   test_meta_outplace_logical_and_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3178230Z   test_meta_outplace_logical_and_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3178374Z   test_meta_outplace_logical_and_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3178530Z   test_meta_outplace_logical_not_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3178672Z   test_meta_outplace_logical_not_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3178937Z   test_meta_outplace_logical_not_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179135Z   test_meta_outplace_logical_not_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179287Z   test_meta_outplace_logical_not_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179435Z   test_meta_outplace_logical_not_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179580Z   test_meta_outplace_logical_not_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179726Z   test_meta_outplace_logical_not_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3179871Z   test_meta_outplace_logical_not_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3180036Z   test_meta_outplace_logical_not_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3180184Z   test_meta_outplace_logical_not_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3180332Z   test_meta_outplace_logical_not_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3180485Z   test_meta_outplace_logical_or_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3180635Z   test_meta_outplace_logical_or_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3180791Z   test_meta_outplace_logical_or_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3180945Z   test_meta_outplace_logical_or_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3181099Z   test_meta_outplace_logical_or_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3181247Z   test_meta_outplace_logical_or_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3181388Z   test_meta_outplace_logical_or_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3181536Z   test_meta_outplace_logical_or_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3181680Z   test_meta_outplace_logical_or_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3181826Z   test_meta_outplace_logical_or_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3181975Z   test_meta_outplace_logical_or_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3182122Z   test_meta_outplace_logical_or_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3182274Z   test_meta_outplace_logical_xor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3182419Z   test_meta_outplace_logical_xor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3182569Z   test_meta_outplace_logical_xor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3182722Z   test_meta_outplace_logical_xor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3182872Z   test_meta_outplace_logical_xor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3183020Z   test_meta_outplace_logical_xor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3183168Z   test_meta_outplace_logical_xor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3183315Z   test_meta_outplace_logical_xor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3183459Z   test_meta_outplace_logical_xor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3183603Z   test_meta_outplace_logical_xor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3183743Z   test_meta_outplace_logical_xor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3183887Z   test_meta_outplace_logical_xor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3184036Z   test_meta_outplace_logit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184182Z   test_meta_outplace_logit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184327Z   test_meta_outplace_logit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184496Z   test_meta_outplace_logit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184641Z   test_meta_outplace_logit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184787Z   test_meta_outplace_logit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3184923Z   test_meta_outplace_logit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3185064Z   test_meta_outplace_logit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3185211Z   test_meta_outplace_logit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3185369Z   test_meta_outplace_logit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3185518Z   test_meta_outplace_logspace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.322s)
2022-11-23T01:45:56.3185668Z   test_meta_outplace_logspace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.322s)
2022-11-23T01:45:56.3185825Z   test_meta_outplace_logspace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.317s)
2022-11-23T01:45:56.3185974Z   test_meta_outplace_logspace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.322s)
2022-11-23T01:45:56.3186112Z   test_meta_outplace_logspace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.321s)
2022-11-23T01:45:56.3186257Z   test_meta_outplace_logspace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.320s)
2022-11-23T01:45:56.3186404Z   test_meta_outplace_logspace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.292s)
2022-11-23T01:45:56.3186550Z   test_meta_outplace_logspace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.290s)
2022-11-23T01:45:56.3186702Z   test_meta_outplace_logspace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.289s)
2022-11-23T01:45:56.3186847Z   test_meta_outplace_logspace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.117s)
2022-11-23T01:45:56.3186993Z   test_meta_outplace_logspace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.091s)
2022-11-23T01:45:56.3187147Z   test_meta_outplace_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3187294Z   test_meta_outplace_logsumexp_cuda_bool (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3187440Z   test_meta_outplace_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3187589Z   test_meta_outplace_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.3187735Z   test_meta_outplace_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.3187884Z   test_meta_outplace_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3188031Z   test_meta_outplace_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3188182Z   test_meta_outplace_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3188326Z   test_meta_outplace_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3188473Z   test_meta_outplace_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3188609Z   test_meta_outplace_long_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3188752Z   test_meta_outplace_long_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3188897Z   test_meta_outplace_long_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189049Z   test_meta_outplace_long_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189193Z   test_meta_outplace_long_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189338Z   test_meta_outplace_long_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189485Z   test_meta_outplace_long_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189632Z   test_meta_outplace_long_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189766Z   test_meta_outplace_long_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3189929Z   test_meta_outplace_long_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3190072Z   test_meta_outplace_long_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3190210Z   test_meta_outplace_long_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3190431Z   test_meta_outplace_long_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3190586Z   test_meta_outplace_lt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3190728Z   test_meta_outplace_lt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3190870Z   test_meta_outplace_lt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3191035Z   test_meta_outplace_lt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191174Z   test_meta_outplace_lt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191314Z   test_meta_outplace_lt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191455Z   test_meta_outplace_lt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191591Z   test_meta_outplace_lt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191728Z   test_meta_outplace_lt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3191865Z   test_meta_outplace_lt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3192010Z   test_meta_outplace_lu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.3192150Z   test_meta_outplace_lu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3192295Z   test_meta_outplace_lu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3192434Z   test_meta_outplace_lu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3192585Z   test_meta_outplace_lu_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.042s)
2022-11-23T01:45:56.3192738Z   test_meta_outplace_lu_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3192887Z   test_meta_outplace_lu_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.030s)
2022-11-23T01:45:56.3193033Z   test_meta_outplace_lu_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3193187Z   test_meta_outplace_lu_unpack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3193333Z   test_meta_outplace_lu_unpack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3193482Z   test_meta_outplace_lu_unpack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3193631Z   test_meta_outplace_lu_unpack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3193774Z   test_meta_outplace_mH_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3193914Z   test_meta_outplace_mH_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194062Z   test_meta_outplace_mH_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194206Z   test_meta_outplace_mH_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194354Z   test_meta_outplace_mH_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194487Z   test_meta_outplace_mH_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194625Z   test_meta_outplace_mH_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194762Z   test_meta_outplace_mH_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3194904Z   test_meta_outplace_mH_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195045Z   test_meta_outplace_mH_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195178Z   test_meta_outplace_mH_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195314Z   test_meta_outplace_mH_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195482Z   test_meta_outplace_mH_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195620Z   test_meta_outplace_mT_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195760Z   test_meta_outplace_mT_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3195904Z   test_meta_outplace_mT_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196047Z   test_meta_outplace_mT_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196191Z   test_meta_outplace_mT_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196332Z   test_meta_outplace_mT_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196497Z   test_meta_outplace_mT_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196635Z   test_meta_outplace_mT_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196764Z   test_meta_outplace_mT_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3196905Z   test_meta_outplace_mT_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3197039Z   test_meta_outplace_mT_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3197176Z   test_meta_outplace_mT_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3197313Z   test_meta_outplace_mT_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3197465Z   test_meta_outplace_masked_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.332s)
2022-11-23T01:45:56.3197618Z   test_meta_outplace_masked_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.331s)
2022-11-23T01:45:56.3197768Z   test_meta_outplace_masked_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.327s)
2022-11-23T01:45:56.3197907Z   test_meta_outplace_masked_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.323s)
2022-11-23T01:45:56.3198057Z   test_meta_outplace_masked_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.281s)
2022-11-23T01:45:56.3198206Z   test_meta_outplace_masked_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.3198355Z   test_meta_outplace_masked_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.279s)
2022-11-23T01:45:56.3198503Z   test_meta_outplace_masked_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.279s)
2022-11-23T01:45:56.3198651Z   test_meta_outplace_masked_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.282s)
2022-11-23T01:45:56.3198799Z   test_meta_outplace_masked_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.332s)
2022-11-23T01:45:56.3198946Z   test_meta_outplace_masked_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.333s)
2022-11-23T01:45:56.3199095Z   test_meta_outplace_masked_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.328s)
2022-11-23T01:45:56.3199233Z   test_meta_outplace_masked_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.328s)
2022-11-23T01:45:56.3199378Z   test_meta_outplace_masked_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.285s)
2022-11-23T01:45:56.3199525Z   test_meta_outplace_masked_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.284s)
2022-11-23T01:45:56.3199668Z   test_meta_outplace_masked_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.3199816Z   test_meta_outplace_masked_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.285s)
2022-11-23T01:45:56.3199958Z   test_meta_outplace_masked_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.284s)
2022-11-23T01:45:56.3200115Z   test_meta_outplace_masked_argmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3200274Z   test_meta_outplace_masked_argmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.185s)
2022-11-23T01:45:56.3200426Z   test_meta_outplace_masked_argmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3200578Z   test_meta_outplace_masked_argmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3200727Z   test_meta_outplace_masked_argmax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.3200901Z   test_meta_outplace_masked_argmax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.3201048Z   test_meta_outplace_masked_argmax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.3201200Z   test_meta_outplace_masked_argmax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.3201345Z   test_meta_outplace_masked_argmax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.160s)
2022-11-23T01:45:56.3201499Z   test_meta_outplace_masked_argmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3201643Z   test_meta_outplace_masked_argmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3201817Z   test_meta_outplace_masked_argmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.188s)
2022-11-23T01:45:56.3201966Z   test_meta_outplace_masked_argmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.187s)
2022-11-23T01:45:56.3202117Z   test_meta_outplace_masked_argmin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.162s)
2022-11-23T01:45:56.3202265Z   test_meta_outplace_masked_argmin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.3202408Z   test_meta_outplace_masked_argmin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.161s)
2022-11-23T01:45:56.3202558Z   test_meta_outplace_masked_argmin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.163s)
2022-11-23T01:45:56.3202702Z   test_meta_outplace_masked_argmin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.164s)
2022-11-23T01:45:56.3202858Z   test_meta_outplace_masked_cumprod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203014Z   test_meta_outplace_masked_cumprod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203176Z   test_meta_outplace_masked_cumprod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203334Z   test_meta_outplace_masked_cumprod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203488Z   test_meta_outplace_masked_cumprod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203648Z   test_meta_outplace_masked_cumprod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203800Z   test_meta_outplace_masked_cumprod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3203954Z   test_meta_outplace_masked_cumprod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3204106Z   test_meta_outplace_masked_cumprod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3204252Z   test_meta_outplace_masked_cumprod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3204407Z   test_meta_outplace_masked_cumprod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.046s)
2022-11-23T01:45:56.3204566Z   test_meta_outplace_masked_cumsum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3204725Z   test_meta_outplace_masked_cumsum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3204885Z   test_meta_outplace_masked_cumsum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3205036Z   test_meta_outplace_masked_cumsum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3212558Z   test_meta_outplace_masked_cumsum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3212743Z   test_meta_outplace_masked_cumsum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3212892Z   test_meta_outplace_masked_cumsum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3213044Z   test_meta_outplace_masked_cumsum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3213201Z   test_meta_outplace_masked_cumsum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3213356Z   test_meta_outplace_masked_cumsum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3213509Z   test_meta_outplace_masked_cumsum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.050s)
2022-11-23T01:45:56.3213746Z   test_meta_outplace_masked_fill_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3213911Z   test_meta_outplace_masked_fill_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214069Z   test_meta_outplace_masked_fill_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214227Z   test_meta_outplace_masked_fill_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214374Z   test_meta_outplace_masked_fill_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214524Z   test_meta_outplace_masked_fill_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214697Z   test_meta_outplace_masked_fill_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214842Z   test_meta_outplace_masked_fill_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3214994Z   test_meta_outplace_masked_fill_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3215143Z   test_meta_outplace_masked_fill_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3215288Z   test_meta_outplace_masked_fill_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3215438Z   test_meta_outplace_masked_fill_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3215576Z   test_meta_outplace_masked_fill_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3215740Z   test_meta_outplace_masked_log_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3215902Z   test_meta_outplace_masked_log_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3216068Z   test_meta_outplace_masked_log_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3216224Z   test_meta_outplace_masked_log_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3216386Z   test_meta_outplace_masked_logaddexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.3216549Z   test_meta_outplace_masked_logaddexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.3216708Z   test_meta_outplace_masked_logaddexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.070s)
2022-11-23T01:45:56.3216867Z   test_meta_outplace_masked_logsumexp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.401s)
2022-11-23T01:45:56.3217015Z   test_meta_outplace_masked_logsumexp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.398s)
2022-11-23T01:45:56.3217170Z   test_meta_outplace_masked_logsumexp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.398s)
2022-11-23T01:45:56.3217322Z   test_meta_outplace_masked_logsumexp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.400s)
2022-11-23T01:45:56.3217485Z   test_meta_outplace_masked_logsumexp_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.350s)
2022-11-23T01:45:56.3217642Z   test_meta_outplace_masked_logsumexp_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.348s)
2022-11-23T01:45:56.3217806Z   test_meta_outplace_masked_logsumexp_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.344s)
2022-11-23T01:45:56.3217962Z   test_meta_outplace_masked_logsumexp_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.346s)
2022-11-23T01:45:56.3218117Z   test_meta_outplace_masked_logsumexp_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.349s)
2022-11-23T01:45:56.3218263Z   test_meta_outplace_masked_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.774s)
2022-11-23T01:45:56.3218417Z   test_meta_outplace_masked_mean_cuda_bool (__main__.TestMetaCUDA) ... ok (0.630s)
2022-11-23T01:45:56.3218574Z   test_meta_outplace_masked_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.632s)
2022-11-23T01:45:56.3218732Z   test_meta_outplace_masked_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.637s)
2022-11-23T01:45:56.3219112Z   test_meta_outplace_masked_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.766s)
2022-11-23T01:45:56.3219263Z   test_meta_outplace_masked_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.761s)
2022-11-23T01:45:56.3219463Z   test_meta_outplace_masked_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.766s)
2022-11-23T01:45:56.3219615Z   test_meta_outplace_masked_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.633s)
2022-11-23T01:45:56.3219753Z   test_meta_outplace_masked_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.632s)
2022-11-23T01:45:56.3219897Z   test_meta_outplace_masked_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.635s)
2022-11-23T01:45:56.3220047Z   test_meta_outplace_masked_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.639s)
2022-11-23T01:45:56.3220189Z   test_meta_outplace_masked_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.637s)
2022-11-23T01:45:56.3220372Z   test_meta_outplace_masked_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3220528Z   test_meta_outplace_masked_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3220684Z   test_meta_outplace_masked_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3220842Z   test_meta_outplace_masked_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (1.610s)
2022-11-23T01:45:56.3220992Z   test_meta_outplace_masked_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.613s)
2022-11-23T01:45:56.3221132Z   test_meta_outplace_masked_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.582s)
2022-11-23T01:45:56.3221279Z   test_meta_outplace_masked_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.573s)
2022-11-23T01:45:56.3221437Z   test_meta_outplace_masked_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.3221603Z   test_meta_outplace_masked_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.3221768Z   test_meta_outplace_masked_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.076s)
2022-11-23T01:45:56.3221927Z   test_meta_outplace_masked_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.080s)
2022-11-23T01:45:56.3222085Z   test_meta_outplace_masked_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.3222242Z   test_meta_outplace_masked_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.3222390Z   test_meta_outplace_masked_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.3222544Z   test_meta_outplace_masked_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.307s)
2022-11-23T01:45:56.3222699Z   test_meta_outplace_masked_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.306s)
2022-11-23T01:45:56.3222855Z   test_meta_outplace_masked_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.306s)
2022-11-23T01:45:56.3223008Z   test_meta_outplace_masked_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.370s)
2022-11-23T01:45:56.3223159Z   test_meta_outplace_masked_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.362s)
2022-11-23T01:45:56.3223306Z   test_meta_outplace_masked_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.362s)
2022-11-23T01:45:56.3223460Z   test_meta_outplace_masked_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.308s)
2022-11-23T01:45:56.3223600Z   test_meta_outplace_masked_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.308s)
2022-11-23T01:45:56.3223745Z   test_meta_outplace_masked_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.306s)
2022-11-23T01:45:56.3223894Z   test_meta_outplace_masked_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.309s)
2022-11-23T01:45:56.3224046Z   test_meta_outplace_masked_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.308s)
2022-11-23T01:45:56.3224202Z   test_meta_outplace_masked_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3224353Z   test_meta_outplace_masked_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3224516Z   test_meta_outplace_masked_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3224674Z   test_meta_outplace_masked_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3224855Z   test_meta_outplace_masked_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225006Z   test_meta_outplace_masked_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225164Z   test_meta_outplace_masked_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225316Z   test_meta_outplace_masked_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225474Z   test_meta_outplace_masked_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225626Z   test_meta_outplace_masked_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225803Z   test_meta_outplace_masked_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3225956Z   test_meta_outplace_masked_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3226114Z   test_meta_outplace_masked_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3226263Z   test_meta_outplace_masked_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3226422Z   test_meta_outplace_masked_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3226582Z   test_meta_outplace_masked_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3226735Z   test_meta_outplace_masked_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3226891Z   test_meta_outplace_masked_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227045Z   test_meta_outplace_masked_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227199Z   test_meta_outplace_masked_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227346Z   test_meta_outplace_masked_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227491Z   test_meta_outplace_masked_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227640Z   test_meta_outplace_masked_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227785Z   test_meta_outplace_masked_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3227942Z   test_meta_outplace_masked_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.058s)
2022-11-23T01:45:56.3228096Z   test_meta_outplace_masked_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3228252Z   test_meta_outplace_masked_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.056s)
2022-11-23T01:45:56.3228407Z   test_meta_outplace_masked_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3228566Z   test_meta_outplace_masked_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3228719Z   test_meta_outplace_masked_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3228863Z   test_meta_outplace_masked_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3229019Z   test_meta_outplace_masked_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.059s)
2022-11-23T01:45:56.3229170Z   test_meta_outplace_masked_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (2.524s)
2022-11-23T01:45:56.3229323Z   test_meta_outplace_masked_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (2.017s)
2022-11-23T01:45:56.3229480Z   test_meta_outplace_masked_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (2.012s)
2022-11-23T01:45:56.3229632Z   test_meta_outplace_masked_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.527s)
2022-11-23T01:45:56.3229778Z   test_meta_outplace_masked_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.435s)
2022-11-23T01:45:56.3229926Z   test_meta_outplace_masked_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.449s)
2022-11-23T01:45:56.3230070Z   test_meta_outplace_masked_std_cuda_int16 (__main__.TestMetaCUDA) ... ok (2.043s)
2022-11-23T01:45:56.3230215Z   test_meta_outplace_masked_std_cuda_int32 (__main__.TestMetaCUDA) ... ok (2.031s)
2022-11-23T01:45:56.3230469Z   test_meta_outplace_masked_std_cuda_int64 (__main__.TestMetaCUDA) ... ok (2.028s)
2022-11-23T01:45:56.3230637Z   test_meta_outplace_masked_std_cuda_int8 (__main__.TestMetaCUDA) ... ok (2.032s)
2022-11-23T01:45:56.3230786Z   test_meta_outplace_masked_std_cuda_uint8 (__main__.TestMetaCUDA) ... ok (2.023s)
2022-11-23T01:45:56.3230933Z   test_meta_outplace_masked_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.332s)
2022-11-23T01:45:56.3231081Z   test_meta_outplace_masked_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.546s)
2022-11-23T01:45:56.3231234Z   test_meta_outplace_masked_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.3231415Z   test_meta_outplace_masked_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.3231557Z   test_meta_outplace_masked_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.334s)
2022-11-23T01:45:56.3231703Z   test_meta_outplace_masked_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.333s)
2022-11-23T01:45:56.3231849Z   test_meta_outplace_masked_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.331s)
2022-11-23T01:45:56.3231993Z   test_meta_outplace_masked_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.284s)
2022-11-23T01:45:56.3232134Z   test_meta_outplace_masked_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.280s)
2022-11-23T01:45:56.3232275Z   test_meta_outplace_masked_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.275s)
2022-11-23T01:45:56.3232422Z   test_meta_outplace_masked_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.278s)
2022-11-23T01:45:56.3232569Z   test_meta_outplace_masked_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.281s)
2022-11-23T01:45:56.3232712Z   test_meta_outplace_masked_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (2.478s)
2022-11-23T01:45:56.3232867Z   test_meta_outplace_masked_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.973s)
2022-11-23T01:45:56.3233020Z   test_meta_outplace_masked_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.979s)
2022-11-23T01:45:56.3233168Z   test_meta_outplace_masked_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.461s)
2022-11-23T01:45:56.3233312Z   test_meta_outplace_masked_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.382s)
2022-11-23T01:45:56.3233455Z   test_meta_outplace_masked_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.389s)
2022-11-23T01:45:56.3233599Z   test_meta_outplace_masked_var_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.994s)
2022-11-23T01:45:56.3233742Z   test_meta_outplace_masked_var_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.982s)
2022-11-23T01:45:56.3233876Z   test_meta_outplace_masked_var_cuda_int64 (__main__.TestMetaCUDA) ... ok (2.007s)
2022-11-23T01:45:56.3234021Z   test_meta_outplace_masked_var_cuda_int8 (__main__.TestMetaCUDA) ... ok (2.002s)
2022-11-23T01:45:56.3234168Z   test_meta_outplace_masked_var_cuda_uint8 (__main__.TestMetaCUDA) ... ok (2.003s)
2022-11-23T01:45:56.3234314Z   test_meta_outplace_matmul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3234467Z   test_meta_outplace_matmul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3234616Z   test_meta_outplace_matmul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3234762Z   test_meta_outplace_matmul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3234910Z   test_meta_outplace_matmul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3235048Z   test_meta_outplace_matmul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3235201Z   test_meta_outplace_matrix_exp_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3235358Z   test_meta_outplace_matrix_exp_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3235510Z   test_meta_outplace_matrix_exp_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3235660Z   test_meta_outplace_matrix_exp_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3235833Z   test_meta_outplace_matrix_exp_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3235981Z   test_meta_outplace_matrix_exp_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3236133Z   test_meta_outplace_max_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3236283Z   test_meta_outplace_max_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3236424Z   test_meta_outplace_max_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3236569Z   test_meta_outplace_max_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3236734Z   test_meta_outplace_max_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3236878Z   test_meta_outplace_max_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3237020Z   test_meta_outplace_max_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3237165Z   test_meta_outplace_max_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3237309Z   test_meta_outplace_max_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3237455Z   test_meta_outplace_max_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3237627Z   test_meta_outplace_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (3.264s)
2022-11-23T01:45:56.3237806Z   test_meta_outplace_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (3.272s)
2022-11-23T01:45:56.3237981Z   test_meta_outplace_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (3.251s)
2022-11-23T01:45:56.3238154Z   test_meta_outplace_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (3.265s)
2022-11-23T01:45:56.3238319Z   test_meta_outplace_max_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3238483Z   test_meta_outplace_max_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3238646Z   test_meta_outplace_max_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3238809Z   test_meta_outplace_max_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3238969Z   test_meta_outplace_max_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239121Z   test_meta_outplace_max_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239279Z   test_meta_outplace_max_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239436Z   test_meta_outplace_max_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239593Z   test_meta_outplace_max_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239748Z   test_meta_outplace_max_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3239915Z   test_meta_outplace_max_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240077Z   test_meta_outplace_max_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240241Z   test_meta_outplace_max_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240398Z   test_meta_outplace_max_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240561Z   test_meta_outplace_max_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240724Z   test_meta_outplace_max_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3240884Z   test_meta_outplace_max_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3241069Z   test_meta_outplace_max_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3241229Z   test_meta_outplace_max_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3241384Z   test_meta_outplace_max_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3241534Z   test_meta_outplace_maximum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3241679Z   test_meta_outplace_maximum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3241820Z   test_meta_outplace_maximum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3241966Z   test_meta_outplace_maximum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3242139Z   test_meta_outplace_maximum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3242284Z   test_meta_outplace_maximum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3242432Z   test_meta_outplace_maximum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3242579Z   test_meta_outplace_maximum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3242723Z   test_meta_outplace_maximum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3242862Z   test_meta_outplace_maximum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3242998Z   test_meta_outplace_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3243146Z   test_meta_outplace_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3243296Z   test_meta_outplace_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3243441Z   test_meta_outplace_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3243590Z   test_meta_outplace_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3243734Z   test_meta_outplace_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3243885Z   test_meta_outplace_median_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.065s)
2022-11-23T01:45:56.3244030Z   test_meta_outplace_median_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244170Z   test_meta_outplace_median_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244313Z   test_meta_outplace_median_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244454Z   test_meta_outplace_median_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244596Z   test_meta_outplace_median_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244743Z   test_meta_outplace_median_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3244883Z   test_meta_outplace_median_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.064s)
2022-11-23T01:45:56.3245052Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3245219Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3245385Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3245557Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3245725Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3245885Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246043Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246208Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246373Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246560Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246724Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3246875Z   test_meta_outplace_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247050Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247217Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247391Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247601Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247769Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3247934Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248094Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248258Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248417Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248582Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248743Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3248905Z   test_meta_outplace_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3249057Z   test_meta_outplace_min_binary_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3249208Z   test_meta_outplace_min_binary_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3249361Z   test_meta_outplace_min_binary_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3249509Z   test_meta_outplace_min_binary_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3249646Z   test_meta_outplace_min_binary_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3249796Z   test_meta_outplace_min_binary_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3249943Z   test_meta_outplace_min_binary_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3250086Z   test_meta_outplace_min_binary_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3250235Z   test_meta_outplace_min_binary_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3250384Z   test_meta_outplace_min_binary_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3250547Z   test_meta_outplace_min_reduction_no_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3250708Z   test_meta_outplace_min_reduction_no_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3250870Z   test_meta_outplace_min_reduction_no_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3251022Z   test_meta_outplace_min_reduction_no_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251182Z   test_meta_outplace_min_reduction_no_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251342Z   test_meta_outplace_min_reduction_no_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251503Z   test_meta_outplace_min_reduction_no_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251657Z   test_meta_outplace_min_reduction_no_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251812Z   test_meta_outplace_min_reduction_no_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3251993Z   test_meta_outplace_min_reduction_no_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3252159Z   test_meta_outplace_min_reduction_with_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3252313Z   test_meta_outplace_min_reduction_with_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3252478Z   test_meta_outplace_min_reduction_with_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3252639Z   test_meta_outplace_min_reduction_with_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3252826Z   test_meta_outplace_min_reduction_with_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3252987Z   test_meta_outplace_min_reduction_with_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3253147Z   test_meta_outplace_min_reduction_with_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3253307Z   test_meta_outplace_min_reduction_with_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3253463Z   test_meta_outplace_min_reduction_with_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3253622Z   test_meta_outplace_min_reduction_with_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3253763Z   test_meta_outplace_minimum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3253909Z   test_meta_outplace_minimum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3254059Z   test_meta_outplace_minimum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3254208Z   test_meta_outplace_minimum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3254356Z   test_meta_outplace_minimum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3254500Z   test_meta_outplace_minimum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3254650Z   test_meta_outplace_minimum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3254792Z   test_meta_outplace_minimum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3254930Z   test_meta_outplace_minimum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3255074Z   test_meta_outplace_minimum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3255218Z   test_meta_outplace_mm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3255360Z   test_meta_outplace_mm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3255509Z   test_meta_outplace_mm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3255651Z   test_meta_outplace_mm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3255792Z   test_meta_outplace_mm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3255933Z   test_meta_outplace_mm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3256068Z   test_meta_outplace_mode_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256208Z   test_meta_outplace_mode_cuda_bool (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256352Z   test_meta_outplace_mode_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256493Z   test_meta_outplace_mode_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256635Z   test_meta_outplace_mode_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256775Z   test_meta_outplace_mode_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3256920Z   test_meta_outplace_mode_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3257059Z   test_meta_outplace_mode_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3257190Z   test_meta_outplace_mode_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3257353Z   test_meta_outplace_mode_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3257507Z   test_meta_outplace_movedim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3257648Z   test_meta_outplace_movedim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3257803Z   test_meta_outplace_movedim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3257956Z   test_meta_outplace_movedim_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258103Z   test_meta_outplace_movedim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258272Z   test_meta_outplace_movedim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258413Z   test_meta_outplace_movedim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258560Z   test_meta_outplace_movedim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258705Z   test_meta_outplace_movedim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3258963Z   test_meta_outplace_movedim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259110Z   test_meta_outplace_movedim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259259Z   test_meta_outplace_movedim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259398Z   test_meta_outplace_movedim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259546Z   test_meta_outplace_msort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3259689Z   test_meta_outplace_msort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259833Z   test_meta_outplace_msort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3259976Z   test_meta_outplace_msort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3260119Z   test_meta_outplace_msort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3260266Z   test_meta_outplace_msort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3260407Z   test_meta_outplace_msort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3260546Z   test_meta_outplace_msort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3260687Z   test_meta_outplace_msort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3260832Z   test_meta_outplace_mul_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3260967Z   test_meta_outplace_mul_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3261118Z   test_meta_outplace_mul_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3261259Z   test_meta_outplace_mul_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3261402Z   test_meta_outplace_mul_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3261543Z   test_meta_outplace_mul_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3261685Z   test_meta_outplace_mul_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3261821Z   test_meta_outplace_mul_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3261962Z   test_meta_outplace_mul_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3262095Z   test_meta_outplace_mul_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3262230Z   test_meta_outplace_mul_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3262368Z   test_meta_outplace_mul_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3262506Z   test_meta_outplace_mul_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3262661Z   test_meta_outplace_multinomial_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3262810Z   test_meta_outplace_multinomial_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3263013Z   test_meta_outplace_multinomial_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3263153Z   test_meta_outplace_mv_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3263291Z   test_meta_outplace_mv_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3263437Z   test_meta_outplace_mv_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3263579Z   test_meta_outplace_mv_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3263719Z   test_meta_outplace_mv_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3263890Z   test_meta_outplace_mv_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3264054Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3264219Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3264388Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3264544Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3264704Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3264858Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265019Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265175Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265342Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3265499Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265664Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265825Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3265976Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266130Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266288Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266443Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266604Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266766Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3266929Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267086Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267234Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267390Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267548Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267702Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3267857Z   test_meta_outplace_nan_to_num_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3268003Z   test_meta_outplace_nan_to_num_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3268155Z   test_meta_outplace_nan_to_num_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3268331Z   test_meta_outplace_nan_to_num_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3268476Z   test_meta_outplace_nan_to_num_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3268616Z   test_meta_outplace_nan_to_num_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3268766Z   test_meta_outplace_nan_to_num_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3268910Z   test_meta_outplace_nan_to_num_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3269056Z   test_meta_outplace_nan_to_num_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3269229Z   test_meta_outplace_nan_to_num_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3269374Z   test_meta_outplace_nanmean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3269523Z   test_meta_outplace_nanmean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3269671Z   test_meta_outplace_nanmean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3269810Z   test_meta_outplace_nanmean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3269963Z   test_meta_outplace_nanmedian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270110Z   test_meta_outplace_nanmedian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270310Z   test_meta_outplace_nanmedian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270476Z   test_meta_outplace_nanmedian_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270645Z   test_meta_outplace_nanmedian_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270793Z   test_meta_outplace_nanmedian_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3270940Z   test_meta_outplace_nanmedian_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3271081Z   test_meta_outplace_nanmedian_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3271235Z   test_meta_outplace_nanquantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3271384Z   test_meta_outplace_nanquantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3271528Z   test_meta_outplace_nansum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3271674Z   test_meta_outplace_nansum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3271821Z   test_meta_outplace_nansum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3271968Z   test_meta_outplace_nansum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3272116Z   test_meta_outplace_nansum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3272253Z   test_meta_outplace_nansum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3272399Z   test_meta_outplace_nansum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3272542Z   test_meta_outplace_nansum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3272683Z   test_meta_outplace_nansum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3272827Z   test_meta_outplace_nansum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3273015Z   test_meta_outplace_narrow_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3273198Z   test_meta_outplace_narrow_copy_cuda_bool (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3273390Z   test_meta_outplace_narrow_copy_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3273576Z   test_meta_outplace_narrow_copy_cuda_complex32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3273783Z   test_meta_outplace_narrow_copy_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3273968Z   test_meta_outplace_narrow_copy_cuda_float16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3274145Z   test_meta_outplace_narrow_copy_cuda_float32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3274320Z   test_meta_outplace_narrow_copy_cuda_float64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3274501Z   test_meta_outplace_narrow_copy_cuda_int16 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3274710Z   test_meta_outplace_narrow_copy_cuda_int32 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3274889Z   test_meta_outplace_narrow_copy_cuda_int64 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3275073Z   test_meta_outplace_narrow_copy_cuda_int8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3275251Z   test_meta_outplace_narrow_copy_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Original OpInfo is broken (0.006s)
2022-11-23T01:45:56.3275395Z   test_meta_outplace_narrow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3275540Z   test_meta_outplace_narrow_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3275692Z   test_meta_outplace_narrow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3275841Z   test_meta_outplace_narrow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3275991Z   test_meta_outplace_narrow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276139Z   test_meta_outplace_narrow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276278Z   test_meta_outplace_narrow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276426Z   test_meta_outplace_narrow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276572Z   test_meta_outplace_narrow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276721Z   test_meta_outplace_narrow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3276863Z   test_meta_outplace_narrow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3277004Z   test_meta_outplace_narrow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3277145Z   test_meta_outplace_narrow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3277305Z   test_meta_outplace_native_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3277468Z   test_meta_outplace_native_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3277619Z   test_meta_outplace_native_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3277776Z   test_meta_outplace_native_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3277948Z   test_meta_outplace_native_dropout_backward_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3278114Z   test_meta_outplace_native_dropout_backward_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3278283Z   test_meta_outplace_native_dropout_backward_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3278451Z   test_meta_outplace_native_dropout_backward_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3278610Z   test_meta_outplace_native_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3278775Z   test_meta_outplace_native_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3278924Z   test_meta_outplace_native_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3279079Z   test_meta_outplace_native_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3279249Z   test_meta_outplace_ne_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3279391Z   test_meta_outplace_ne_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3279540Z   test_meta_outplace_ne_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3279686Z   test_meta_outplace_ne_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3279832Z   test_meta_outplace_ne_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3279974Z   test_meta_outplace_ne_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3280131Z   test_meta_outplace_ne_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3280272Z   test_meta_outplace_ne_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3280413Z   test_meta_outplace_ne_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3280552Z   test_meta_outplace_ne_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3280693Z   test_meta_outplace_ne_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3280831Z   test_meta_outplace_ne_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3280975Z   test_meta_outplace_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281124Z   test_meta_outplace_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281264Z   test_meta_outplace_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281412Z   test_meta_outplace_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281558Z   test_meta_outplace_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281700Z   test_meta_outplace_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281839Z   test_meta_outplace_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3281982Z   test_meta_outplace_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3282120Z   test_meta_outplace_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3282257Z   test_meta_outplace_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3282387Z   test_meta_outplace_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3282528Z   test_meta_outplace_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3282682Z   test_meta_outplace_new_empty_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3282829Z   test_meta_outplace_new_empty_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3282987Z   test_meta_outplace_new_empty_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283141Z   test_meta_outplace_new_empty_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283293Z   test_meta_outplace_new_empty_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283445Z   test_meta_outplace_new_empty_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283591Z   test_meta_outplace_new_empty_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283753Z   test_meta_outplace_new_empty_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3283926Z   test_meta_outplace_new_empty_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284072Z   test_meta_outplace_new_empty_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284218Z   test_meta_outplace_new_empty_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284367Z   test_meta_outplace_new_empty_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284513Z   test_meta_outplace_new_empty_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284702Z   test_meta_outplace_new_empty_strided_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3284862Z   test_meta_outplace_new_empty_strided_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285020Z   test_meta_outplace_new_empty_strided_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285183Z   test_meta_outplace_new_empty_strided_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285347Z   test_meta_outplace_new_empty_strided_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285506Z   test_meta_outplace_new_empty_strided_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285699Z   test_meta_outplace_new_empty_strided_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3285853Z   test_meta_outplace_new_empty_strided_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286009Z   test_meta_outplace_new_empty_strided_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286169Z   test_meta_outplace_new_empty_strided_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286316Z   test_meta_outplace_new_empty_strided_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286475Z   test_meta_outplace_new_empty_strided_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286627Z   test_meta_outplace_new_empty_strided_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3286779Z   test_meta_outplace_new_full_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3286925Z   test_meta_outplace_new_full_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287081Z   test_meta_outplace_new_full_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287232Z   test_meta_outplace_new_full_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287379Z   test_meta_outplace_new_full_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287530Z   test_meta_outplace_new_full_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287666Z   test_meta_outplace_new_full_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287809Z   test_meta_outplace_new_full_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3287957Z   test_meta_outplace_new_full_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3288104Z   test_meta_outplace_new_full_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3288249Z   test_meta_outplace_new_full_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3288394Z   test_meta_outplace_new_full_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3288540Z   test_meta_outplace_new_full_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3288690Z   test_meta_outplace_new_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3288831Z   test_meta_outplace_new_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3288984Z   test_meta_outplace_new_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3289136Z   test_meta_outplace_new_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3289282Z   test_meta_outplace_new_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3289431Z   test_meta_outplace_new_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3289576Z   test_meta_outplace_new_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3289722Z   test_meta_outplace_new_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3289866Z   test_meta_outplace_new_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290004Z   test_meta_outplace_new_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290172Z   test_meta_outplace_new_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290316Z   test_meta_outplace_new_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290458Z   test_meta_outplace_new_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290611Z   test_meta_outplace_new_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290755Z   test_meta_outplace_new_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3290912Z   test_meta_outplace_new_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3291090Z   test_meta_outplace_new_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3291231Z   test_meta_outplace_new_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3291382Z   test_meta_outplace_new_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3291531Z   test_meta_outplace_new_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3291676Z   test_meta_outplace_new_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3291824Z   test_meta_outplace_new_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3291970Z   test_meta_outplace_new_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3292118Z   test_meta_outplace_new_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3292262Z   test_meta_outplace_new_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3292407Z   test_meta_outplace_new_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3292555Z   test_meta_outplace_nextafter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3292704Z   test_meta_outplace_nextafter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3292851Z   test_meta_outplace_nextafter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3293058Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3293259Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3293462Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3293663Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3293852Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3294032Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3294206Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3294378Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3294555Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3294728Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3294901Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3295071Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3295248Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3295417Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3295613Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3295776Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3295950Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3296121Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3296293Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3296486Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3296660Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3296831Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3297002Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3297172Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3297336Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3297505Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3297678Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3297848Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3298025Z   test_meta_outplace_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3298199Z   test_meta_outplace_nn_functional_alpha_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3298367Z   test_meta_outplace_nn_functional_alpha_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3298530Z   test_meta_outplace_nn_functional_alpha_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3298698Z   test_meta_outplace_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3298967Z   test_meta_outplace_nn_functional_avg_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3299134Z   test_meta_outplace_nn_functional_avg_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3299293Z   test_meta_outplace_nn_functional_avg_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3299457Z   test_meta_outplace_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3299621Z   test_meta_outplace_nn_functional_avg_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3299779Z   test_meta_outplace_nn_functional_avg_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3299936Z   test_meta_outplace_nn_functional_avg_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3300098Z   test_meta_outplace_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3300266Z   test_meta_outplace_nn_functional_avg_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3300425Z   test_meta_outplace_nn_functional_avg_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3300585Z   test_meta_outplace_nn_functional_avg_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3300755Z   test_meta_outplace_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3300957Z   test_meta_outplace_nn_functional_batch_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3301120Z   test_meta_outplace_nn_functional_batch_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3301279Z   test_meta_outplace_nn_functional_batch_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3301464Z   test_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3301646Z   test_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3301857Z   test_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3302031Z   test_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3302199Z   test_meta_outplace_nn_functional_bilinear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3302364Z   test_meta_outplace_nn_functional_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3302530Z   test_meta_outplace_nn_functional_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3302693Z   test_meta_outplace_nn_functional_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3302873Z   test_meta_outplace_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3303052Z   test_meta_outplace_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3303230Z   test_meta_outplace_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3303403Z   test_meta_outplace_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3303590Z   test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.3303779Z   test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.075s)
2022-11-23T01:45:56.3303968Z   test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3304158Z   test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3304319Z   test_meta_outplace_nn_functional_celu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3304483Z   test_meta_outplace_nn_functional_celu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3304643Z   test_meta_outplace_nn_functional_celu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3304801Z   test_meta_outplace_nn_functional_celu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3304966Z   test_meta_outplace_nn_functional_conv1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3305125Z   test_meta_outplace_nn_functional_conv1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3305290Z   test_meta_outplace_nn_functional_conv1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3305454Z   test_meta_outplace_nn_functional_conv1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3305613Z   test_meta_outplace_nn_functional_conv1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3305776Z   test_meta_outplace_nn_functional_conv1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3305937Z   test_meta_outplace_nn_functional_conv1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3306099Z   test_meta_outplace_nn_functional_conv2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3306291Z   test_meta_outplace_nn_functional_conv2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.052s)
2022-11-23T01:45:56.3306450Z   test_meta_outplace_nn_functional_conv2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.066s)
2022-11-23T01:45:56.3306614Z   test_meta_outplace_nn_functional_conv2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.051s)
2022-11-23T01:45:56.3306774Z   test_meta_outplace_nn_functional_conv2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3306933Z   test_meta_outplace_nn_functional_conv2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3307113Z   test_meta_outplace_nn_functional_conv2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3307294Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3307474Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3307655Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3307831Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3307998Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3308173Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3308346Z   test_meta_outplace_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3308526Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3308703Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3308880Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3309054Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3309224Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3309394Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3309562Z   test_meta_outplace_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3309742Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3309923Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3310101Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3310336Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3310532Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3310724Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3310919Z   test_meta_outplace_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3311103Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3311272Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3311457Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3311706Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3311883Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312059Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312237Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312409Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312607Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312780Z   test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3312954Z   test_meta_outplace_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3313124Z   test_meta_outplace_nn_functional_cosine_similarity_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3313300Z   test_meta_outplace_nn_functional_cosine_similarity_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3313473Z   test_meta_outplace_nn_functional_cosine_similarity_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3313648Z   test_meta_outplace_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3313817Z   test_meta_outplace_nn_functional_cross_entropy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3313982Z   test_meta_outplace_nn_functional_cross_entropy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3314145Z   test_meta_outplace_nn_functional_cross_entropy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3314312Z   test_meta_outplace_nn_functional_ctc_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3314476Z   test_meta_outplace_nn_functional_ctc_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.035s)
2022-11-23T01:45:56.3314638Z   test_meta_outplace_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3314801Z   test_meta_outplace_nn_functional_dropout2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3314968Z   test_meta_outplace_nn_functional_dropout2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3315134Z   test_meta_outplace_nn_functional_dropout2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3315304Z   test_meta_outplace_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3315468Z   test_meta_outplace_nn_functional_dropout3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3315637Z   test_meta_outplace_nn_functional_dropout3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3315799Z   test_meta_outplace_nn_functional_dropout3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3315957Z   test_meta_outplace_nn_functional_dropout_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3316123Z   test_meta_outplace_nn_functional_dropout_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3316288Z   test_meta_outplace_nn_functional_dropout_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3316451Z   test_meta_outplace_nn_functional_dropout_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3316612Z   test_meta_outplace_nn_functional_elu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3316770Z   test_meta_outplace_nn_functional_elu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3316926Z   test_meta_outplace_nn_functional_elu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3317105Z   test_meta_outplace_nn_functional_elu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3317283Z   test_meta_outplace_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.3317452Z   test_meta_outplace_nn_functional_embedding_bag_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3317618Z   test_meta_outplace_nn_functional_embedding_bag_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.037s)
2022-11-23T01:45:56.3317785Z   test_meta_outplace_nn_functional_embedding_bag_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.3317978Z   test_meta_outplace_nn_functional_embedding_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3318143Z   test_meta_outplace_nn_functional_embedding_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3318308Z   test_meta_outplace_nn_functional_embedding_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3318475Z   test_meta_outplace_nn_functional_embedding_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3318668Z   test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3318859Z   test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3319042Z   test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3319233Z   test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3319429Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3319616Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3319819Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3320014Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3320206Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3320398Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3320587Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3320775Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3320960Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3321147Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3321335Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3321520Z   test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3321700Z   test_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3321881Z   test_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3322056Z   test_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3322256Z   test_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3322428Z   test_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3322593Z   test_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3322771Z   test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (2.077s)
2022-11-23T01:45:56.3322945Z   test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.077s)
2022-11-23T01:45:56.3323120Z   test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.071s)
2022-11-23T01:45:56.3323327Z   test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.071s)
2022-11-23T01:45:56.3323489Z   test_meta_outplace_nn_functional_gelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3323653Z   test_meta_outplace_nn_functional_gelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3323814Z   test_meta_outplace_nn_functional_gelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3323970Z   test_meta_outplace_nn_functional_gelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3324117Z   test_meta_outplace_nn_functional_glu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.3324278Z   test_meta_outplace_nn_functional_glu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.038s)
2022-11-23T01:45:56.3324436Z   test_meta_outplace_nn_functional_glu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.3324595Z   test_meta_outplace_nn_functional_glu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.036s)
2022-11-23T01:45:56.3324765Z   test_meta_outplace_nn_functional_grid_sample_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3324934Z   test_meta_outplace_nn_functional_grid_sample_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3325097Z   test_meta_outplace_nn_functional_grid_sample_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3325261Z   test_meta_outplace_nn_functional_group_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3325425Z   test_meta_outplace_nn_functional_group_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3325579Z   test_meta_outplace_nn_functional_group_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3325740Z   test_meta_outplace_nn_functional_group_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.028s)
2022-11-23T01:45:56.3325905Z   test_meta_outplace_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3326066Z   test_meta_outplace_nn_functional_hardshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3326227Z   test_meta_outplace_nn_functional_hardshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3326385Z   test_meta_outplace_nn_functional_hardshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3326556Z   test_meta_outplace_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3326721Z   test_meta_outplace_nn_functional_hardsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3326885Z   test_meta_outplace_nn_functional_hardsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3327039Z   test_meta_outplace_nn_functional_hardsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3327203Z   test_meta_outplace_nn_functional_hardswish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3327369Z   test_meta_outplace_nn_functional_hardswish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3327557Z   test_meta_outplace_nn_functional_hardswish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3327724Z   test_meta_outplace_nn_functional_hardswish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3327888Z   test_meta_outplace_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328053Z   test_meta_outplace_nn_functional_hardtanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328219Z   test_meta_outplace_nn_functional_hardtanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328377Z   test_meta_outplace_nn_functional_hardtanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328563Z   test_meta_outplace_nn_functional_hardtanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328725Z   test_meta_outplace_nn_functional_hardtanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3328888Z   test_meta_outplace_nn_functional_hardtanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3329051Z   test_meta_outplace_nn_functional_hardtanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3329228Z   test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3329407Z   test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3329585Z   test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3329757Z   test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3329918Z   test_meta_outplace_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3330082Z   test_meta_outplace_nn_functional_huber_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3330244Z   test_meta_outplace_nn_functional_huber_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3330403Z   test_meta_outplace_nn_functional_huber_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3330575Z   test_meta_outplace_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3330746Z   test_meta_outplace_nn_functional_instance_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3330910Z   test_meta_outplace_nn_functional_instance_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3331072Z   test_meta_outplace_nn_functional_instance_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.023s)
2022-11-23T01:45:56.3331251Z   test_meta_outplace_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3331419Z   test_meta_outplace_nn_functional_interpolate_area_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3331599Z   test_meta_outplace_nn_functional_interpolate_area_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3331774Z   test_meta_outplace_nn_functional_interpolate_area_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3331953Z   test_meta_outplace_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3332134Z   test_meta_outplace_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3332308Z   test_meta_outplace_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3332487Z   test_meta_outplace_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3332665Z   test_meta_outplace_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3332862Z   test_meta_outplace_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333032Z   test_meta_outplace_nn_functional_interpolate_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333208Z   test_meta_outplace_nn_functional_interpolate_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333379Z   test_meta_outplace_nn_functional_interpolate_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333554Z   test_meta_outplace_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333727Z   test_meta_outplace_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3333924Z   test_meta_outplace_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3334101Z   test_meta_outplace_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3334286Z   test_meta_outplace_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3334467Z   test_meta_outplace_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3334635Z   test_meta_outplace_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3334803Z   test_meta_outplace_nn_functional_kl_div_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3334968Z   test_meta_outplace_nn_functional_kl_div_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3335134Z   test_meta_outplace_nn_functional_kl_div_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3335295Z   test_meta_outplace_nn_functional_kl_div_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3335461Z   test_meta_outplace_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3335632Z   test_meta_outplace_nn_functional_l1_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3335797Z   test_meta_outplace_nn_functional_l1_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3335960Z   test_meta_outplace_nn_functional_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3336115Z   test_meta_outplace_nn_functional_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3336274Z   test_meta_outplace_nn_functional_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3336444Z   test_meta_outplace_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3336612Z   test_meta_outplace_nn_functional_layer_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3336772Z   test_meta_outplace_nn_functional_layer_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3336933Z   test_meta_outplace_nn_functional_layer_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3337098Z   test_meta_outplace_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3337259Z   test_meta_outplace_nn_functional_leaky_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3337419Z   test_meta_outplace_nn_functional_leaky_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3337571Z   test_meta_outplace_nn_functional_leaky_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3337734Z   test_meta_outplace_nn_functional_linear_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3337904Z   test_meta_outplace_nn_functional_linear_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3338069Z   test_meta_outplace_nn_functional_linear_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3338259Z   test_meta_outplace_nn_functional_linear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3338423Z   test_meta_outplace_nn_functional_linear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3338584Z   test_meta_outplace_nn_functional_linear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3338763Z   test_meta_outplace_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3339065Z   test_meta_outplace_nn_functional_local_response_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3339234Z   test_meta_outplace_nn_functional_local_response_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3339446Z   test_meta_outplace_nn_functional_local_response_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3339616Z   test_meta_outplace_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3339785Z   test_meta_outplace_nn_functional_logsigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3339949Z   test_meta_outplace_nn_functional_logsigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3340109Z   test_meta_outplace_nn_functional_logsigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3340284Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.3340458Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.039s)
2022-11-23T01:45:56.3340629Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3340795Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3340974Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3341148Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3341320Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3341495Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3341666Z   test_meta_outplace_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.033s)
2022-11-23T01:45:56.3341839Z   test_meta_outplace_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.356s)
2022-11-23T01:45:56.3342007Z   test_meta_outplace_nn_functional_max_pool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.352s)
2022-11-23T01:45:56.3342167Z   test_meta_outplace_nn_functional_max_pool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.356s)
2022-11-23T01:45:56.3342321Z   test_meta_outplace_nn_functional_max_pool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.350s)
2022-11-23T01:45:56.3342484Z   test_meta_outplace_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.583s)
2022-11-23T01:45:56.3342642Z   test_meta_outplace_nn_functional_max_pool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.577s)
2022-11-23T01:45:56.3342801Z   test_meta_outplace_nn_functional_max_pool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.581s)
2022-11-23T01:45:56.3342958Z   test_meta_outplace_nn_functional_max_pool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.579s)
2022-11-23T01:45:56.3343118Z   test_meta_outplace_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (2.573s)
2022-11-23T01:45:56.3343282Z   test_meta_outplace_nn_functional_max_pool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.572s)
2022-11-23T01:45:56.3343439Z   test_meta_outplace_nn_functional_max_pool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.572s)
2022-11-23T01:45:56.3343619Z   test_meta_outplace_nn_functional_max_pool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.570s)
2022-11-23T01:45:56.3343790Z   test_meta_outplace_nn_functional_max_unpool1d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.593s)
2022-11-23T01:45:56.3343954Z   test_meta_outplace_nn_functional_max_unpool1d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.593s)
2022-11-23T01:45:56.3344117Z   test_meta_outplace_nn_functional_max_unpool1d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.593s)
2022-11-23T01:45:56.3344291Z   test_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.105s)
2022-11-23T01:45:56.3344467Z   test_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.105s)
2022-11-23T01:45:56.3344661Z   test_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:56.3344837Z   test_meta_outplace_nn_functional_max_unpool2d_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.156s)
2022-11-23T01:45:56.3345005Z   test_meta_outplace_nn_functional_max_unpool2d_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.156s)
2022-11-23T01:45:56.3345161Z   test_meta_outplace_nn_functional_max_unpool2d_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.159s)
2022-11-23T01:45:56.3345336Z   test_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.145s)
2022-11-23T01:45:56.3345506Z   test_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.145s)
2022-11-23T01:45:56.3345674Z   test_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.141s)
2022-11-23T01:45:56.3345848Z   test_meta_outplace_nn_functional_max_unpool3d_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.386s)
2022-11-23T01:45:56.3346013Z   test_meta_outplace_nn_functional_max_unpool3d_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.387s)
2022-11-23T01:45:56.3346175Z   test_meta_outplace_nn_functional_max_unpool3d_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.386s)
2022-11-23T01:45:56.3346345Z   test_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.3346516Z   test_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.077s)
2022-11-23T01:45:56.3346676Z   test_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.3346838Z   test_meta_outplace_nn_functional_mish_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3347001Z   test_meta_outplace_nn_functional_mish_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3347165Z   test_meta_outplace_nn_functional_mish_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3347325Z   test_meta_outplace_nn_functional_mish_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3347490Z   test_meta_outplace_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3347655Z   test_meta_outplace_nn_functional_mse_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3347819Z   test_meta_outplace_nn_functional_mse_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3347982Z   test_meta_outplace_nn_functional_mse_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3348151Z   test_meta_outplace_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3348326Z   test_meta_outplace_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3348497Z   test_meta_outplace_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3348667Z   test_meta_outplace_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3348872Z   test_meta_outplace_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3349055Z   test_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3349235Z   test_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3349415Z   test_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3349600Z   test_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3349776Z   test_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3349978Z   test_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3350154Z   test_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3350388Z   test_meta_outplace_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3350580Z   test_meta_outplace_nn_functional_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3350748Z   test_meta_outplace_nn_functional_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3350909Z   test_meta_outplace_nn_functional_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3351077Z   test_meta_outplace_nn_functional_normalize_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3351251Z   test_meta_outplace_nn_functional_normalize_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3351411Z   test_meta_outplace_nn_functional_normalize_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.022s)
2022-11-23T01:45:56.3351574Z   test_meta_outplace_nn_functional_normalize_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3351743Z   test_meta_outplace_nn_functional_normalize_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3351908Z   test_meta_outplace_nn_functional_normalize_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3352070Z   test_meta_outplace_nn_functional_one_hot_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3352242Z   test_meta_outplace_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3352407Z   test_meta_outplace_nn_functional_pad_circular_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3352587Z   test_meta_outplace_nn_functional_pad_circular_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3352761Z   test_meta_outplace_nn_functional_pad_circular_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3352923Z   test_meta_outplace_nn_functional_pad_circular_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353089Z   test_meta_outplace_nn_functional_pad_circular_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353251Z   test_meta_outplace_nn_functional_pad_circular_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353421Z   test_meta_outplace_nn_functional_pad_circular_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353583Z   test_meta_outplace_nn_functional_pad_circular_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353744Z   test_meta_outplace_nn_functional_pad_circular_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3353911Z   test_meta_outplace_nn_functional_pad_circular_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3354077Z   test_meta_outplace_nn_functional_pad_circular_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3354246Z   test_meta_outplace_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3354431Z   test_meta_outplace_nn_functional_pad_constant_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3354604Z   test_meta_outplace_nn_functional_pad_constant_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3354775Z   test_meta_outplace_nn_functional_pad_constant_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3354941Z   test_meta_outplace_nn_functional_pad_constant_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355104Z   test_meta_outplace_nn_functional_pad_constant_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355290Z   test_meta_outplace_nn_functional_pad_constant_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355453Z   test_meta_outplace_nn_functional_pad_constant_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355616Z   test_meta_outplace_nn_functional_pad_constant_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355776Z   test_meta_outplace_nn_functional_pad_constant_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3355930Z   test_meta_outplace_nn_functional_pad_constant_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3356094Z   test_meta_outplace_nn_functional_pad_constant_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3356263Z   test_meta_outplace_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3356433Z   test_meta_outplace_nn_functional_pad_reflect_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3356608Z   test_meta_outplace_nn_functional_pad_reflect_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3356775Z   test_meta_outplace_nn_functional_pad_reflect_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3356939Z   test_meta_outplace_nn_functional_pad_reflect_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3357100Z   test_meta_outplace_nn_functional_pad_reflect_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3357270Z   test_meta_outplace_nn_functional_pad_replicate_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3357445Z   test_meta_outplace_nn_functional_pad_replicate_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3357616Z   test_meta_outplace_nn_functional_pad_replicate_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3357783Z   test_meta_outplace_nn_functional_pad_replicate_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3357950Z   test_meta_outplace_nn_functional_pad_replicate_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3358129Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3358313Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3358491Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3358665Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3358832Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3359005Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3359180Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3359355Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3359527Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3359723Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3359894Z   test_meta_outplace_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3360054Z   test_meta_outplace_nn_functional_pdist_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.3360215Z   test_meta_outplace_nn_functional_pdist_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.047s)
2022-11-23T01:45:56.3360377Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3360580Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3360757Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3360931Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3361102Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3361267Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3361434Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3361607Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3361771Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3361929Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3362096Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3362256Z   test_meta_outplace_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3362438Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3362609Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3362788Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3362962Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3363130Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3363304Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3363466Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3363637Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3363802Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3363967Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3364134Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3364296Z   test_meta_outplace_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3364470Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:56.3364649Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.115s)
2022-11-23T01:45:56.3364821Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.087s)
2022-11-23T01:45:56.3365011Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.086s)
2022-11-23T01:45:56.3365189Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.3365358Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.3365532Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.093s)
2022-11-23T01:45:56.3365701Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.3365897Z   test_meta_outplace_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.094s)
2022-11-23T01:45:56.3366062Z   test_meta_outplace_nn_functional_prelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3366225Z   test_meta_outplace_nn_functional_prelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3366382Z   test_meta_outplace_nn_functional_prelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3366538Z   test_meta_outplace_nn_functional_relu6_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3366695Z   test_meta_outplace_nn_functional_relu6_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3366853Z   test_meta_outplace_nn_functional_relu6_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367008Z   test_meta_outplace_nn_functional_relu6_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367166Z   test_meta_outplace_nn_functional_relu6_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367324Z   test_meta_outplace_nn_functional_relu6_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367479Z   test_meta_outplace_nn_functional_relu6_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367639Z   test_meta_outplace_nn_functional_relu6_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367798Z   test_meta_outplace_nn_functional_relu6_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3367949Z   test_meta_outplace_nn_functional_relu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368113Z   test_meta_outplace_nn_functional_relu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368273Z   test_meta_outplace_nn_functional_relu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368430Z   test_meta_outplace_nn_functional_relu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368587Z   test_meta_outplace_nn_functional_relu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368746Z   test_meta_outplace_nn_functional_relu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3368899Z   test_meta_outplace_nn_functional_relu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3369058Z   test_meta_outplace_nn_functional_relu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3369206Z   test_meta_outplace_nn_functional_relu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3369369Z   test_meta_outplace_nn_functional_rrelu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3369526Z   test_meta_outplace_nn_functional_rrelu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3369686Z   test_meta_outplace_nn_functional_rrelu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3369839Z   test_meta_outplace_nn_functional_rrelu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3369999Z   test_meta_outplace_nn_functional_selu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3370156Z   test_meta_outplace_nn_functional_selu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3370336Z   test_meta_outplace_nn_functional_selu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3370493Z   test_meta_outplace_nn_functional_selu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3370641Z   test_meta_outplace_nn_functional_silu_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3370798Z   test_meta_outplace_nn_functional_silu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3370952Z   test_meta_outplace_nn_functional_silu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3371104Z   test_meta_outplace_nn_functional_silu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3371298Z   test_meta_outplace_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3371466Z   test_meta_outplace_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3371640Z   test_meta_outplace_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3371815Z   test_meta_outplace_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3371982Z   test_meta_outplace_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3372155Z   test_meta_outplace_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3372325Z   test_meta_outplace_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3372490Z   test_meta_outplace_nn_functional_softmin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3372656Z   test_meta_outplace_nn_functional_softmin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3372822Z   test_meta_outplace_nn_functional_softmin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3372988Z   test_meta_outplace_nn_functional_softmin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3373164Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3373342Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3373512Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3373691Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3373867Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3374038Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3374209Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3374384Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3374553Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3374727Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3374896Z   test_meta_outplace_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3375056Z   test_meta_outplace_nn_functional_softplus_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3375221Z   test_meta_outplace_nn_functional_softplus_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3375385Z   test_meta_outplace_nn_functional_softplus_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3375550Z   test_meta_outplace_nn_functional_softplus_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3375742Z   test_meta_outplace_nn_functional_softshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3375911Z   test_meta_outplace_nn_functional_softshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3376072Z   test_meta_outplace_nn_functional_softshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3376232Z   test_meta_outplace_nn_functional_softshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3376395Z   test_meta_outplace_nn_functional_softsign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3376571Z   test_meta_outplace_nn_functional_softsign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3376739Z   test_meta_outplace_nn_functional_softsign_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3376902Z   test_meta_outplace_nn_functional_softsign_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377069Z   test_meta_outplace_nn_functional_softsign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377231Z   test_meta_outplace_nn_functional_softsign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377392Z   test_meta_outplace_nn_functional_softsign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377554Z   test_meta_outplace_nn_functional_softsign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377716Z   test_meta_outplace_nn_functional_softsign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3377878Z   test_meta_outplace_nn_functional_softsign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3378030Z   test_meta_outplace_nn_functional_softsign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3378187Z   test_meta_outplace_nn_functional_softsign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3378360Z   test_meta_outplace_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3378531Z   test_meta_outplace_nn_functional_tanhshrink_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3378701Z   test_meta_outplace_nn_functional_tanhshrink_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379044Z   test_meta_outplace_nn_functional_tanhshrink_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379255Z   test_meta_outplace_nn_functional_tanhshrink_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379456Z   test_meta_outplace_nn_functional_tanhshrink_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379622Z   test_meta_outplace_nn_functional_tanhshrink_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379778Z   test_meta_outplace_nn_functional_tanhshrink_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3379944Z   test_meta_outplace_nn_functional_tanhshrink_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3380110Z   test_meta_outplace_nn_functional_tanhshrink_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3380269Z   test_meta_outplace_nn_functional_tanhshrink_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3380438Z   test_meta_outplace_nn_functional_threshold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3380603Z   test_meta_outplace_nn_functional_threshold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3380772Z   test_meta_outplace_nn_functional_threshold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3380939Z   test_meta_outplace_nn_functional_threshold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3381096Z   test_meta_outplace_nn_functional_threshold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3381317Z   test_meta_outplace_nn_functional_threshold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3381483Z   test_meta_outplace_nn_functional_threshold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3381645Z   test_meta_outplace_nn_functional_threshold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3381803Z   test_meta_outplace_nn_functional_threshold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3381985Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3382168Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3382374Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3382550Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3382719Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3382891Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3383065Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3383239Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3383412Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3383589Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3383762Z   test_meta_outplace_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3383959Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3384156Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3384344Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3384533Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.021s)
2022-11-23T01:45:56.3384723Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3384912Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3385100Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3385290Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3385475Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3385663Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3385847Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3386007Z   test_meta_outplace_nn_functional_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.409s)
2022-11-23T01:45:56.3386168Z   test_meta_outplace_nn_functional_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.409s)
2022-11-23T01:45:56.3386334Z   test_meta_outplace_nn_functional_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.409s)
2022-11-23T01:45:56.3386523Z   test_meta_outplace_nn_functional_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.407s)
2022-11-23T01:45:56.3386685Z   test_meta_outplace_nn_functional_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.400s)
2022-11-23T01:45:56.3386846Z   test_meta_outplace_nn_functional_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.399s)
2022-11-23T01:45:56.3387019Z   test_meta_outplace_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3387196Z   test_meta_outplace_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3387372Z   test_meta_outplace_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3387569Z   test_meta_outplace_nn_functional_upsample_nearest_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3387736Z   test_meta_outplace_nn_functional_upsample_nearest_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3387913Z   test_meta_outplace_nn_functional_upsample_nearest_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3388087Z   test_meta_outplace_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3388240Z   test_meta_outplace_nonzero_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3388386Z   test_meta_outplace_nonzero_cuda_bool (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3388538Z   test_meta_outplace_nonzero_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3388688Z   test_meta_outplace_nonzero_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3388836Z   test_meta_outplace_nonzero_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3388976Z   test_meta_outplace_nonzero_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3389126Z   test_meta_outplace_nonzero_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3389275Z   test_meta_outplace_nonzero_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3389422Z   test_meta_outplace_nonzero_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3389567Z   test_meta_outplace_nonzero_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3389711Z   test_meta_outplace_nonzero_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3389854Z   test_meta_outplace_nonzero_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.159s)
2022-11-23T01:45:56.3389996Z   test_meta_outplace_nonzero_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.158s)
2022-11-23T01:45:56.3390140Z   test_meta_outplace_norm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3390351Z   test_meta_outplace_norm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3390521Z   test_meta_outplace_norm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3390684Z   test_meta_outplace_norm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.057s)
2022-11-23T01:45:56.3390830Z   test_meta_outplace_norm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.3390969Z   test_meta_outplace_norm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.053s)
2022-11-23T01:45:56.3391119Z   test_meta_outplace_norm_fro_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3391274Z   test_meta_outplace_norm_fro_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3391426Z   test_meta_outplace_norm_fro_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3391567Z   test_meta_outplace_norm_fro_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3391715Z   test_meta_outplace_norm_fro_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3391858Z   test_meta_outplace_norm_fro_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3392005Z   test_meta_outplace_norm_inf_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3392185Z   test_meta_outplace_norm_inf_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3392337Z   test_meta_outplace_norm_inf_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3392482Z   test_meta_outplace_norm_inf_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3392623Z   test_meta_outplace_norm_inf_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3392756Z   test_meta_outplace_norm_inf_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3392905Z   test_meta_outplace_norm_nuc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3393130Z   test_meta_outplace_norm_nuc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3393274Z   test_meta_outplace_norm_nuc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3393414Z   test_meta_outplace_norm_nuc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3393564Z   test_meta_outplace_normal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3393711Z   test_meta_outplace_normal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3393859Z   test_meta_outplace_normal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3393999Z   test_meta_outplace_normal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3394161Z   test_meta_outplace_normal_number_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3394320Z   test_meta_outplace_normal_number_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3394481Z   test_meta_outplace_normal_number_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3394637Z   test_meta_outplace_normal_number_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3394783Z   test_meta_outplace_ones_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3394929Z   test_meta_outplace_ones_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395075Z   test_meta_outplace_ones_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395214Z   test_meta_outplace_ones_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395361Z   test_meta_outplace_ones_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395506Z   test_meta_outplace_ones_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395650Z   test_meta_outplace_ones_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395796Z   test_meta_outplace_ones_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3395939Z   test_meta_outplace_ones_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3396082Z   test_meta_outplace_ones_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3396227Z   test_meta_outplace_ones_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3396367Z   test_meta_outplace_ones_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3396497Z   test_meta_outplace_ones_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3396647Z   test_meta_outplace_ones_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3396793Z   test_meta_outplace_ones_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3396947Z   test_meta_outplace_ones_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397104Z   test_meta_outplace_ones_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397249Z   test_meta_outplace_ones_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397398Z   test_meta_outplace_ones_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397572Z   test_meta_outplace_ones_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397710Z   test_meta_outplace_ones_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3397855Z   test_meta_outplace_ones_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3398000Z   test_meta_outplace_ones_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3398147Z   test_meta_outplace_ones_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3398291Z   test_meta_outplace_ones_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3398470Z   test_meta_outplace_ones_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3398621Z   test_meta_outplace_ormqr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (1.268s)
2022-11-23T01:45:56.3398766Z   test_meta_outplace_ormqr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (1.268s)
2022-11-23T01:45:56.3398907Z   test_meta_outplace_ormqr_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.266s)
2022-11-23T01:45:56.3399051Z   test_meta_outplace_ormqr_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.266s)
2022-11-23T01:45:56.3399196Z   test_meta_outplace_outer_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3399341Z   test_meta_outplace_outer_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3399491Z   test_meta_outplace_outer_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3399637Z   test_meta_outplace_outer_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3399782Z   test_meta_outplace_outer_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3399930Z   test_meta_outplace_outer_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400066Z   test_meta_outplace_outer_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400209Z   test_meta_outplace_outer_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400355Z   test_meta_outplace_outer_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400494Z   test_meta_outplace_outer_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400633Z   test_meta_outplace_outer_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400770Z   test_meta_outplace_outer_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3400923Z   test_meta_outplace_pca_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.033s)
2022-11-23T01:45:56.3401072Z   test_meta_outplace_pca_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.035s)
2022-11-23T01:45:56.3401215Z   test_meta_outplace_permute_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3401361Z   test_meta_outplace_permute_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3401515Z   test_meta_outplace_permute_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3401671Z   test_meta_outplace_permute_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3401819Z   test_meta_outplace_permute_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3401967Z   test_meta_outplace_permute_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402113Z   test_meta_outplace_permute_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402258Z   test_meta_outplace_permute_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402395Z   test_meta_outplace_permute_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402541Z   test_meta_outplace_permute_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402685Z   test_meta_outplace_permute_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402831Z   test_meta_outplace_permute_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3402996Z   test_meta_outplace_permute_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3403152Z   test_meta_outplace_pinverse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3403303Z   test_meta_outplace_pinverse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3403454Z   test_meta_outplace_pinverse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3403600Z   test_meta_outplace_pinverse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3403738Z   test_meta_outplace_polar_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.085s)
2022-11-23T01:45:56.3403882Z   test_meta_outplace_polar_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.084s)
2022-11-23T01:45:56.3404069Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3404237Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3404407Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3404573Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3404736Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3404900Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405056Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405223Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405384Z   test_meta_outplace_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405547Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405712Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3405877Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406045Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406211Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406369Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406524Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406688Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3406850Z   test_meta_outplace_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407011Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407178Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407339Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407504Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407663Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407822Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3407976Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408136Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408294Z   test_meta_outplace_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408475Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408639Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408802Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3408965Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409123Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409297Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409454Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409615Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409776Z   test_meta_outplace_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3409938Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410098Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410259Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410426Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410586Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410738Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3410898Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3411058Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3411217Z   test_meta_outplace_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3411367Z   test_meta_outplace_positive_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3411519Z   test_meta_outplace_positive_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3411670Z   test_meta_outplace_positive_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3411818Z   test_meta_outplace_positive_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3411962Z   test_meta_outplace_positive_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412107Z   test_meta_outplace_positive_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412251Z   test_meta_outplace_positive_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412400Z   test_meta_outplace_positive_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412547Z   test_meta_outplace_positive_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412692Z   test_meta_outplace_positive_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412837Z   test_meta_outplace_positive_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3412980Z   test_meta_outplace_positive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3413126Z   test_meta_outplace_pow_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3413267Z   test_meta_outplace_pow_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3413411Z   test_meta_outplace_pow_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3413556Z   test_meta_outplace_pow_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3413723Z   test_meta_outplace_pow_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3413868Z   test_meta_outplace_pow_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3414009Z   test_meta_outplace_pow_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3414151Z   test_meta_outplace_pow_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3414290Z   test_meta_outplace_pow_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3414420Z   test_meta_outplace_pow_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3414559Z   test_meta_outplace_pow_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3414717Z   test_meta_outplace_pow_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3414864Z   test_meta_outplace_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3415005Z   test_meta_outplace_prod_cuda_bool (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3415154Z   test_meta_outplace_prod_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3415301Z   test_meta_outplace_prod_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3415446Z   test_meta_outplace_prod_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3415585Z   test_meta_outplace_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3415729Z   test_meta_outplace_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3415876Z   test_meta_outplace_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3416020Z   test_meta_outplace_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3416161Z   test_meta_outplace_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.015s)
2022-11-23T01:45:56.3416299Z   test_meta_outplace_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3416439Z   test_meta_outplace_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3416575Z   test_meta_outplace_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3416711Z   test_meta_outplace_put_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3416851Z   test_meta_outplace_put_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3417000Z   test_meta_outplace_put_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417145Z   test_meta_outplace_put_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417287Z   test_meta_outplace_put_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417431Z   test_meta_outplace_put_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417572Z   test_meta_outplace_put_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417711Z   test_meta_outplace_put_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417845Z   test_meta_outplace_put_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3417982Z   test_meta_outplace_put_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3418122Z   test_meta_outplace_put_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3418258Z   test_meta_outplace_put_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3418404Z   test_meta_outplace_qr_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.032s)
2022-11-23T01:45:56.3418545Z   test_meta_outplace_qr_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3418690Z   test_meta_outplace_qr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3418949Z   test_meta_outplace_qr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3419097Z   test_meta_outplace_quantile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.241s)
2022-11-23T01:45:56.3419241Z   test_meta_outplace_quantile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.240s)
2022-11-23T01:45:56.3419431Z   test_meta_outplace_rad2deg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3419581Z   test_meta_outplace_rad2deg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3419730Z   test_meta_outplace_rad2deg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3419879Z   test_meta_outplace_rad2deg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420026Z   test_meta_outplace_rad2deg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420170Z   test_meta_outplace_rad2deg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420334Z   test_meta_outplace_rad2deg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420479Z   test_meta_outplace_rad2deg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420622Z   test_meta_outplace_rad2deg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420768Z   test_meta_outplace_rad2deg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3420920Z   test_meta_outplace_rand_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421074Z   test_meta_outplace_rand_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421229Z   test_meta_outplace_rand_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421379Z   test_meta_outplace_rand_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421522Z   test_meta_outplace_rand_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421671Z   test_meta_outplace_rand_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421813Z   test_meta_outplace_rand_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3421960Z   test_meta_outplace_randint_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3422111Z   test_meta_outplace_randint_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3422258Z   test_meta_outplace_randint_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3422406Z   test_meta_outplace_randint_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3422549Z   test_meta_outplace_randint_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3422685Z   test_meta_outplace_randint_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3422829Z   test_meta_outplace_randint_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3422976Z   test_meta_outplace_randint_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3423119Z   test_meta_outplace_randint_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3423278Z   test_meta_outplace_randint_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3423438Z   test_meta_outplace_randint_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3423592Z   test_meta_outplace_randint_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3423743Z   test_meta_outplace_randint_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3423896Z   test_meta_outplace_randint_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3424036Z   test_meta_outplace_randint_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3424180Z   test_meta_outplace_randint_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3424329Z   test_meta_outplace_randint_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3424473Z   test_meta_outplace_randint_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3424621Z   test_meta_outplace_randn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3424797Z   test_meta_outplace_randn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3424946Z   test_meta_outplace_randn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3425094Z   test_meta_outplace_randn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3425229Z   test_meta_outplace_randn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3425374Z   test_meta_outplace_randn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3425517Z   test_meta_outplace_randn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3425668Z   test_meta_outplace_randn_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3425846Z   test_meta_outplace_randn_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3425998Z   test_meta_outplace_randn_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3426154Z   test_meta_outplace_randn_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3426304Z   test_meta_outplace_randn_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3426444Z   test_meta_outplace_randn_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3426588Z   test_meta_outplace_randn_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3426737Z   test_meta_outplace_ravel_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3426881Z   test_meta_outplace_ravel_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427030Z   test_meta_outplace_ravel_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427178Z   test_meta_outplace_ravel_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427326Z   test_meta_outplace_ravel_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427471Z   test_meta_outplace_ravel_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427608Z   test_meta_outplace_ravel_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427750Z   test_meta_outplace_ravel_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3427892Z   test_meta_outplace_ravel_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428033Z   test_meta_outplace_ravel_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428172Z   test_meta_outplace_ravel_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428315Z   test_meta_outplace_ravel_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428457Z   test_meta_outplace_ravel_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428602Z   test_meta_outplace_real_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428735Z   test_meta_outplace_real_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3428885Z   test_meta_outplace_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429034Z   test_meta_outplace_real_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429183Z   test_meta_outplace_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429328Z   test_meta_outplace_real_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429471Z   test_meta_outplace_real_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429616Z   test_meta_outplace_real_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429758Z   test_meta_outplace_real_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3429891Z   test_meta_outplace_real_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3430028Z   test_meta_outplace_real_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3430168Z   test_meta_outplace_real_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3430403Z   test_meta_outplace_real_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3430562Z   test_meta_outplace_reciprocal_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3430711Z   test_meta_outplace_reciprocal_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3430870Z   test_meta_outplace_reciprocal_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431028Z   test_meta_outplace_reciprocal_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431179Z   test_meta_outplace_reciprocal_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431345Z   test_meta_outplace_reciprocal_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431490Z   test_meta_outplace_reciprocal_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431647Z   test_meta_outplace_reciprocal_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431796Z   test_meta_outplace_reciprocal_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3431940Z   test_meta_outplace_reciprocal_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3432086Z   test_meta_outplace_reciprocal_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3432238Z   test_meta_outplace_reciprocal_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3432391Z   test_meta_outplace_remainder_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3432534Z   test_meta_outplace_remainder_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3432683Z   test_meta_outplace_remainder_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3432828Z   test_meta_outplace_remainder_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3432976Z   test_meta_outplace_remainder_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3433126Z   test_meta_outplace_remainder_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3433274Z   test_meta_outplace_remainder_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3433422Z   test_meta_outplace_remainder_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3433571Z   test_meta_outplace_remainder_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3433708Z   test_meta_outplace_renorm_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3433859Z   test_meta_outplace_renorm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3434012Z   test_meta_outplace_renorm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3434158Z   test_meta_outplace_renorm_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3434302Z   test_meta_outplace_renorm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3434451Z   test_meta_outplace_renorm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3434595Z   test_meta_outplace_repeat_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3434740Z   test_meta_outplace_repeat_cuda_bool (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3434882Z   test_meta_outplace_repeat_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435031Z   test_meta_outplace_repeat_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3435175Z   test_meta_outplace_repeat_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435323Z   test_meta_outplace_repeat_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435465Z   test_meta_outplace_repeat_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435611Z   test_meta_outplace_repeat_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435781Z   test_meta_outplace_repeat_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3435927Z   test_meta_outplace_repeat_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3436063Z   test_meta_outplace_repeat_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3436205Z   test_meta_outplace_repeat_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3436366Z   test_meta_outplace_repeat_interleave_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3436526Z   test_meta_outplace_repeat_interleave_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3436727Z   test_meta_outplace_repeat_interleave_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3436890Z   test_meta_outplace_repeat_interleave_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437052Z   test_meta_outplace_repeat_interleave_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437217Z   test_meta_outplace_repeat_interleave_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437376Z   test_meta_outplace_repeat_interleave_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437524Z   test_meta_outplace_repeat_interleave_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437684Z   test_meta_outplace_repeat_interleave_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3437845Z   test_meta_outplace_repeat_interleave_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3438001Z   test_meta_outplace_repeat_interleave_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3438160Z   test_meta_outplace_repeat_interleave_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3438317Z   test_meta_outplace_repeat_interleave_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3438473Z   test_meta_outplace_reshape_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3438626Z   test_meta_outplace_reshape_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3438775Z   test_meta_outplace_reshape_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3438930Z   test_meta_outplace_reshape_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439087Z   test_meta_outplace_reshape_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439237Z   test_meta_outplace_reshape_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439386Z   test_meta_outplace_reshape_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439534Z   test_meta_outplace_reshape_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439683Z   test_meta_outplace_reshape_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439828Z   test_meta_outplace_reshape_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3439980Z   test_meta_outplace_reshape_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3440120Z   test_meta_outplace_reshape_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3440269Z   test_meta_outplace_reshape_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3440418Z   test_meta_outplace_reshape_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3440563Z   test_meta_outplace_reshape_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3440716Z   test_meta_outplace_reshape_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3440870Z   test_meta_outplace_reshape_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441016Z   test_meta_outplace_reshape_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441164Z   test_meta_outplace_reshape_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441330Z   test_meta_outplace_reshape_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441478Z   test_meta_outplace_reshape_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441625Z   test_meta_outplace_reshape_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441771Z   test_meta_outplace_reshape_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3441915Z   test_meta_outplace_reshape_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3442060Z   test_meta_outplace_reshape_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3442228Z   test_meta_outplace_reshape_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3442378Z   test_meta_outplace_resize__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3442515Z   test_meta_outplace_resize__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3442668Z   test_meta_outplace_resize__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3442817Z   test_meta_outplace_resize__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3442964Z   test_meta_outplace_resize__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443112Z   test_meta_outplace_resize__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443257Z   test_meta_outplace_resize__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443402Z   test_meta_outplace_resize__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443546Z   test_meta_outplace_resize__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443682Z   test_meta_outplace_resize__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443824Z   test_meta_outplace_resize__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3443969Z   test_meta_outplace_resize__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3444122Z   test_meta_outplace_resize_as__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3444268Z   test_meta_outplace_resize_as__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3444424Z   test_meta_outplace_resize_as__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3444576Z   test_meta_outplace_resize_as__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3444726Z   test_meta_outplace_resize_as__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3444865Z   test_meta_outplace_resize_as__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445011Z   test_meta_outplace_resize_as__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445158Z   test_meta_outplace_resize_as__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445307Z   test_meta_outplace_resize_as__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445450Z   test_meta_outplace_resize_as__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445595Z   test_meta_outplace_resize_as__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445741Z   test_meta_outplace_resize_as__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3445895Z   test_meta_outplace_resolve_conj_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446044Z   test_meta_outplace_resolve_conj_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446193Z   test_meta_outplace_resolve_conj_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446353Z   test_meta_outplace_resolve_conj_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446506Z   test_meta_outplace_resolve_conj_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446683Z   test_meta_outplace_resolve_conj_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446838Z   test_meta_outplace_resolve_conj_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3446987Z   test_meta_outplace_resolve_conj_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447132Z   test_meta_outplace_resolve_conj_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447278Z   test_meta_outplace_resolve_conj_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447419Z   test_meta_outplace_resolve_conj_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447586Z   test_meta_outplace_resolve_conj_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447738Z   test_meta_outplace_resolve_neg_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3447889Z   test_meta_outplace_resolve_neg_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448047Z   test_meta_outplace_resolve_neg_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448200Z   test_meta_outplace_resolve_neg_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448356Z   test_meta_outplace_resolve_neg_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448506Z   test_meta_outplace_resolve_neg_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448644Z   test_meta_outplace_resolve_neg_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448787Z   test_meta_outplace_resolve_neg_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3448939Z   test_meta_outplace_resolve_neg_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3449083Z   test_meta_outplace_resolve_neg_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3449226Z   test_meta_outplace_resolve_neg_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3449376Z   test_meta_outplace_resolve_neg_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3449519Z   test_meta_outplace_resolve_neg_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3449665Z   test_meta_outplace_roll_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3449798Z   test_meta_outplace_roll_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3449946Z   test_meta_outplace_roll_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450093Z   test_meta_outplace_roll_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450241Z   test_meta_outplace_roll_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450388Z   test_meta_outplace_roll_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450532Z   test_meta_outplace_roll_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450675Z   test_meta_outplace_roll_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450819Z   test_meta_outplace_roll_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3450957Z   test_meta_outplace_roll_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3451089Z   test_meta_outplace_roll_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3451228Z   test_meta_outplace_roll_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3451363Z   test_meta_outplace_roll_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3451512Z   test_meta_outplace_rot90_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3451660Z   test_meta_outplace_rot90_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3451809Z   test_meta_outplace_rot90_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3451955Z   test_meta_outplace_rot90_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3452125Z   test_meta_outplace_rot90_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452262Z   test_meta_outplace_rot90_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452407Z   test_meta_outplace_rot90_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452550Z   test_meta_outplace_rot90_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452691Z   test_meta_outplace_rot90_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452831Z   test_meta_outplace_rot90_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3452974Z   test_meta_outplace_rot90_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3453134Z   test_meta_outplace_rot90_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3453281Z   test_meta_outplace_round_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3453419Z   test_meta_outplace_round_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3453564Z   test_meta_outplace_round_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3453709Z   test_meta_outplace_round_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3453855Z   test_meta_outplace_round_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3454002Z   test_meta_outplace_round_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3454142Z   test_meta_outplace_round_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3454281Z   test_meta_outplace_round_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3454420Z   test_meta_outplace_round_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3454571Z   test_meta_outplace_round_decimals_0_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3454730Z   test_meta_outplace_round_decimals_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3454888Z   test_meta_outplace_round_decimals_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455040Z   test_meta_outplace_round_decimals_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455193Z   test_meta_outplace_round_decimals_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455342Z   test_meta_outplace_round_decimals_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455493Z   test_meta_outplace_round_decimals_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455641Z   test_meta_outplace_round_decimals_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455800Z   test_meta_outplace_round_decimals_neg_3_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3455963Z   test_meta_outplace_round_decimals_neg_3_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456127Z   test_meta_outplace_round_decimals_neg_3_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456290Z   test_meta_outplace_round_decimals_neg_3_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456436Z   test_meta_outplace_rsqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456577Z   test_meta_outplace_rsqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456727Z   test_meta_outplace_rsqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3456875Z   test_meta_outplace_rsqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457023Z   test_meta_outplace_rsqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457159Z   test_meta_outplace_rsqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457304Z   test_meta_outplace_rsqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457474Z   test_meta_outplace_rsqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457618Z   test_meta_outplace_rsqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457759Z   test_meta_outplace_rsqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3457897Z   test_meta_outplace_rsqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3458039Z   test_meta_outplace_rsqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3458181Z   test_meta_outplace_rsqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3458317Z   test_meta_outplace_rsub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3458487Z   test_meta_outplace_rsub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3458634Z   test_meta_outplace_rsub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3458776Z   test_meta_outplace_rsub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3459027Z   test_meta_outplace_rsub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459173Z   test_meta_outplace_rsub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459315Z   test_meta_outplace_rsub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459457Z   test_meta_outplace_rsub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459587Z   test_meta_outplace_rsub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459726Z   test_meta_outplace_rsub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3459866Z   test_meta_outplace_rsub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3460022Z   test_meta_outplace_scalar_tensor_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460175Z   test_meta_outplace_scalar_tensor_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460336Z   test_meta_outplace_scalar_tensor_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460493Z   test_meta_outplace_scalar_tensor_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460647Z   test_meta_outplace_scalar_tensor_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460794Z   test_meta_outplace_scalar_tensor_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3460946Z   test_meta_outplace_scalar_tensor_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461101Z   test_meta_outplace_scalar_tensor_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461255Z   test_meta_outplace_scalar_tensor_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461401Z   test_meta_outplace_scalar_tensor_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461544Z   test_meta_outplace_scalar_tensor_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461697Z   test_meta_outplace_scalar_tensor_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461842Z   test_meta_outplace_scalar_tensor_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3461989Z   test_meta_outplace_scatter_add_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462144Z   test_meta_outplace_scatter_add_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462301Z   test_meta_outplace_scatter_add_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462453Z   test_meta_outplace_scatter_add_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462607Z   test_meta_outplace_scatter_add_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462755Z   test_meta_outplace_scatter_add_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3462900Z   test_meta_outplace_scatter_add_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463088Z   test_meta_outplace_scatter_add_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463233Z   test_meta_outplace_scatter_add_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463370Z   test_meta_outplace_scatter_add_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463518Z   test_meta_outplace_scatter_add_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463662Z   test_meta_outplace_scatter_add_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3463809Z   test_meta_outplace_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3463985Z   test_meta_outplace_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3464136Z   test_meta_outplace_scatter_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3464286Z   test_meta_outplace_scatter_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3464438Z   test_meta_outplace_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3464578Z   test_meta_outplace_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3464724Z   test_meta_outplace_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.026s)
2022-11-23T01:45:56.3464872Z   test_meta_outplace_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3465017Z   test_meta_outplace_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3465160Z   test_meta_outplace_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3465307Z   test_meta_outplace_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3465448Z   test_meta_outplace_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3465613Z   test_meta_outplace_scatter_reduce_amax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3465771Z   test_meta_outplace_scatter_reduce_amax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3465938Z   test_meta_outplace_scatter_reduce_amax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466092Z   test_meta_outplace_scatter_reduce_amax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466250Z   test_meta_outplace_scatter_reduce_amax_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466407Z   test_meta_outplace_scatter_reduce_amax_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466558Z   test_meta_outplace_scatter_reduce_amax_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466718Z   test_meta_outplace_scatter_reduce_amax_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3466871Z   test_meta_outplace_scatter_reduce_amax_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467035Z   test_meta_outplace_scatter_reduce_amin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467191Z   test_meta_outplace_scatter_reduce_amin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467354Z   test_meta_outplace_scatter_reduce_amin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467510Z   test_meta_outplace_scatter_reduce_amin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467666Z   test_meta_outplace_scatter_reduce_amin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467821Z   test_meta_outplace_scatter_reduce_amin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3467976Z   test_meta_outplace_scatter_reduce_amin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3468132Z   test_meta_outplace_scatter_reduce_amin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3468285Z   test_meta_outplace_scatter_reduce_amin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3468462Z   test_meta_outplace_scatter_reduce_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3468627Z   test_meta_outplace_scatter_reduce_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3468785Z   test_meta_outplace_scatter_reduce_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3468940Z   test_meta_outplace_scatter_reduce_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469098Z   test_meta_outplace_scatter_reduce_mean_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469251Z   test_meta_outplace_scatter_reduce_mean_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469427Z   test_meta_outplace_scatter_reduce_mean_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469583Z   test_meta_outplace_scatter_reduce_mean_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469737Z   test_meta_outplace_scatter_reduce_mean_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.027s)
2022-11-23T01:45:56.3469893Z   test_meta_outplace_scatter_reduce_prod_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470052Z   test_meta_outplace_scatter_reduce_prod_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470209Z   test_meta_outplace_scatter_reduce_prod_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470440Z   test_meta_outplace_scatter_reduce_prod_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470621Z   test_meta_outplace_scatter_reduce_prod_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470778Z   test_meta_outplace_scatter_reduce_prod_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3470931Z   test_meta_outplace_scatter_reduce_prod_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471087Z   test_meta_outplace_scatter_reduce_prod_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471238Z   test_meta_outplace_scatter_reduce_prod_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471394Z   test_meta_outplace_scatter_reduce_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471551Z   test_meta_outplace_scatter_reduce_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471709Z   test_meta_outplace_scatter_reduce_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3471868Z   test_meta_outplace_scatter_reduce_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3472025Z   test_meta_outplace_scatter_reduce_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3472180Z   test_meta_outplace_scatter_reduce_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3472335Z   test_meta_outplace_scatter_reduce_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.024s)
2022-11-23T01:45:56.3472487Z   test_meta_outplace_scatter_reduce_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3472634Z   test_meta_outplace_scatter_reduce_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3472790Z   test_meta_outplace_scatter_reduce_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.025s)
2022-11-23T01:45:56.3472947Z   test_meta_outplace_searchsorted_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.3473102Z   test_meta_outplace_searchsorted_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.3473257Z   test_meta_outplace_searchsorted_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.3473414Z   test_meta_outplace_searchsorted_cuda_int16 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.3473566Z   test_meta_outplace_searchsorted_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.680s)
2022-11-23T01:45:56.3473711Z   test_meta_outplace_searchsorted_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.679s)
2022-11-23T01:45:56.3473888Z   test_meta_outplace_searchsorted_cuda_int8 (__main__.TestMetaCUDA) ... ok (1.681s)
2022-11-23T01:45:56.3474035Z   test_meta_outplace_searchsorted_cuda_uint8 (__main__.TestMetaCUDA) ... ok (1.680s)
2022-11-23T01:45:56.3474201Z   test_meta_outplace_segment_reduce_lengths_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.369s)
2022-11-23T01:45:56.3474369Z   test_meta_outplace_segment_reduce_lengths_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.368s)
2022-11-23T01:45:56.3474534Z   test_meta_outplace_segment_reduce_lengths_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.369s)
2022-11-23T01:45:56.3474698Z   test_meta_outplace_segment_reduce_lengths_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.369s)
2022-11-23T01:45:56.3474894Z   test_meta_outplace_segment_reduce_offsets_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.366s)
2022-11-23T01:45:56.3475058Z   test_meta_outplace_segment_reduce_offsets_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.366s)
2022-11-23T01:45:56.3475223Z   test_meta_outplace_segment_reduce_offsets_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.366s)
2022-11-23T01:45:56.3475376Z   test_meta_outplace_segment_reduce_offsets_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.365s)
2022-11-23T01:45:56.3475525Z   test_meta_outplace_select_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3475674Z   test_meta_outplace_select_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3475828Z   test_meta_outplace_select_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3475978Z   test_meta_outplace_select_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3476127Z   test_meta_outplace_select_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3476276Z   test_meta_outplace_select_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3476424Z   test_meta_outplace_select_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478060Z   test_meta_outplace_select_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478209Z   test_meta_outplace_select_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478353Z   test_meta_outplace_select_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478497Z   test_meta_outplace_select_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478640Z   test_meta_outplace_select_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478780Z   test_meta_outplace_select_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3478937Z   test_meta_outplace_select_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479094Z   test_meta_outplace_select_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479242Z   test_meta_outplace_select_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479398Z   test_meta_outplace_select_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479554Z   test_meta_outplace_select_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479707Z   test_meta_outplace_select_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3479862Z   test_meta_outplace_select_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3480013Z   test_meta_outplace_select_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3480165Z   test_meta_outplace_select_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3480317Z   test_meta_outplace_select_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3480465Z   test_meta_outplace_sgn_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3480600Z   test_meta_outplace_sgn_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3480748Z   test_meta_outplace_sgn_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3480965Z   test_meta_outplace_sgn_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3481114Z   test_meta_outplace_sgn_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481256Z   test_meta_outplace_sgn_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481399Z   test_meta_outplace_sgn_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481539Z   test_meta_outplace_sgn_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481680Z   test_meta_outplace_sgn_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481835Z   test_meta_outplace_sgn_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3481971Z   test_meta_outplace_sgn_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482109Z   test_meta_outplace_sgn_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482245Z   test_meta_outplace_sgn_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482392Z   test_meta_outplace_short_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482536Z   test_meta_outplace_short_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482686Z   test_meta_outplace_short_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482835Z   test_meta_outplace_short_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3482972Z   test_meta_outplace_short_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483115Z   test_meta_outplace_short_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483261Z   test_meta_outplace_short_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483403Z   test_meta_outplace_short_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483544Z   test_meta_outplace_short_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483684Z   test_meta_outplace_short_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483825Z   test_meta_outplace_short_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3483962Z   test_meta_outplace_short_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3484105Z   test_meta_outplace_sigmoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3484251Z   test_meta_outplace_sigmoid_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3484409Z   test_meta_outplace_sigmoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3484562Z   test_meta_outplace_sigmoid_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3484707Z   test_meta_outplace_sigmoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3484856Z   test_meta_outplace_sigmoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3485007Z   test_meta_outplace_sigmoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3485156Z   test_meta_outplace_sigmoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3485294Z   test_meta_outplace_sigmoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3485438Z   test_meta_outplace_sigmoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3485582Z   test_meta_outplace_sigmoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3485727Z   test_meta_outplace_sigmoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3485870Z   test_meta_outplace_sigmoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3486012Z   test_meta_outplace_sign_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486154Z   test_meta_outplace_sign_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486326Z   test_meta_outplace_sign_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486463Z   test_meta_outplace_sign_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486606Z   test_meta_outplace_sign_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486749Z   test_meta_outplace_sign_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3486892Z   test_meta_outplace_sign_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3487033Z   test_meta_outplace_sign_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3487171Z   test_meta_outplace_sign_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3487330Z   test_meta_outplace_sign_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3487497Z   test_meta_outplace_signal_windows_cosine_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3487653Z   test_meta_outplace_signal_windows_cosine_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3487818Z   test_meta_outplace_signal_windows_cosine_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3487981Z   test_meta_outplace_signal_windows_cosine_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3488155Z   test_meta_outplace_signal_windows_exponential_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3488328Z   test_meta_outplace_signal_windows_exponential_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3488494Z   test_meta_outplace_signal_windows_exponential_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3488660Z   test_meta_outplace_signal_windows_exponential_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3488827Z   test_meta_outplace_signal_windows_gaussian_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3488992Z   test_meta_outplace_signal_windows_gaussian_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3489153Z   test_meta_outplace_signal_windows_gaussian_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3489318Z   test_meta_outplace_signal_windows_gaussian_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3489486Z   test_meta_outplace_signal_windows_kaiser_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3489648Z   test_meta_outplace_signal_windows_kaiser_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3489810Z   test_meta_outplace_signal_windows_kaiser_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3489972Z   test_meta_outplace_signal_windows_kaiser_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3490123Z   test_meta_outplace_signbit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490268Z   test_meta_outplace_signbit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490418Z   test_meta_outplace_signbit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490558Z   test_meta_outplace_signbit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490703Z   test_meta_outplace_signbit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490847Z   test_meta_outplace_signbit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3490990Z   test_meta_outplace_signbit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491134Z   test_meta_outplace_signbit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491280Z   test_meta_outplace_signbit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491424Z   test_meta_outplace_signbit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491568Z   test_meta_outplace_sin_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491727Z   test_meta_outplace_sin_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3491876Z   test_meta_outplace_sin_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492020Z   test_meta_outplace_sin_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492165Z   test_meta_outplace_sin_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492309Z   test_meta_outplace_sin_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492453Z   test_meta_outplace_sin_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492592Z   test_meta_outplace_sin_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492753Z   test_meta_outplace_sin_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3492886Z   test_meta_outplace_sin_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3493020Z   test_meta_outplace_sin_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3493160Z   test_meta_outplace_sin_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3493293Z   test_meta_outplace_sin_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3493438Z   test_meta_outplace_sinc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3493576Z   test_meta_outplace_sinc_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3493725Z   test_meta_outplace_sinc_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3493872Z   test_meta_outplace_sinc_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494008Z   test_meta_outplace_sinc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494154Z   test_meta_outplace_sinc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3494297Z   test_meta_outplace_sinc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3494437Z   test_meta_outplace_sinc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494581Z   test_meta_outplace_sinc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494718Z   test_meta_outplace_sinc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494853Z   test_meta_outplace_sinc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3494993Z   test_meta_outplace_sinc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3495128Z   test_meta_outplace_sinh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3495269Z   test_meta_outplace_sinh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3495419Z   test_meta_outplace_sinh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3495567Z   test_meta_outplace_sinh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3495714Z   test_meta_outplace_sinh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3495858Z   test_meta_outplace_sinh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496000Z   test_meta_outplace_sinh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496142Z   test_meta_outplace_sinh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496277Z   test_meta_outplace_sinh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496418Z   test_meta_outplace_sinh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496557Z   test_meta_outplace_sinh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496696Z   test_meta_outplace_sinh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496836Z   test_meta_outplace_sinh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3496985Z   test_meta_outplace_slice_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497125Z   test_meta_outplace_slice_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497299Z   test_meta_outplace_slice_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497439Z   test_meta_outplace_slice_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497587Z   test_meta_outplace_slice_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497731Z   test_meta_outplace_slice_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3497878Z   test_meta_outplace_slice_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498024Z   test_meta_outplace_slice_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498189Z   test_meta_outplace_slice_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498331Z   test_meta_outplace_slice_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498470Z   test_meta_outplace_slice_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498604Z   test_meta_outplace_slice_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3498741Z   test_meta_outplace_slice_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3499009Z   test_meta_outplace_slice_scatter_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499164Z   test_meta_outplace_slice_scatter_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499316Z   test_meta_outplace_slice_scatter_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499470Z   test_meta_outplace_slice_scatter_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499626Z   test_meta_outplace_slice_scatter_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499778Z   test_meta_outplace_slice_scatter_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3499919Z   test_meta_outplace_slice_scatter_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3500069Z   test_meta_outplace_slice_scatter_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3500220Z   test_meta_outplace_slice_scatter_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3500366Z   test_meta_outplace_slice_scatter_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3500518Z   test_meta_outplace_softmax_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3500665Z   test_meta_outplace_softmax_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3500810Z   test_meta_outplace_softmax_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3500960Z   test_meta_outplace_softmax_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501124Z   test_meta_outplace_softmax_with_dtype_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501273Z   test_meta_outplace_softmax_with_dtype_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501441Z   test_meta_outplace_softmax_with_dtype_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501605Z   test_meta_outplace_softmax_with_dtype_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501766Z   test_meta_outplace_softmax_with_dtype_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3501926Z   test_meta_outplace_softmax_with_dtype_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502081Z   test_meta_outplace_softmax_with_dtype_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502237Z   test_meta_outplace_softmax_with_dtype_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502395Z   test_meta_outplace_softmax_with_dtype_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502540Z   test_meta_outplace_softmax_with_dtype_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502738Z   test_meta_outplace_softmax_with_dtype_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3502897Z   test_meta_outplace_softmax_with_dtype_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3503041Z   test_meta_outplace_sort_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503185Z   test_meta_outplace_sort_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503327Z   test_meta_outplace_sort_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503471Z   test_meta_outplace_sort_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503613Z   test_meta_outplace_sort_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503785Z   test_meta_outplace_sort_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3503916Z   test_meta_outplace_sort_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.016s)
2022-11-23T01:45:56.3504059Z   test_meta_outplace_sort_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3504198Z   test_meta_outplace_sort_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.014s)
2022-11-23T01:45:56.3504367Z   test_meta_outplace_sparse_sampled_addmm_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3504535Z   test_meta_outplace_sparse_sampled_addmm_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3504701Z   test_meta_outplace_sparse_sampled_addmm_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3504864Z   test_meta_outplace_sparse_sampled_addmm_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3505017Z   test_meta_outplace_special_airy_ai_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3505170Z   test_meta_outplace_special_airy_ai_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3505325Z   test_meta_outplace_special_airy_ai_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3505481Z   test_meta_outplace_special_airy_ai_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3505634Z   test_meta_outplace_special_airy_ai_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3505790Z   test_meta_outplace_special_airy_ai_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3505943Z   test_meta_outplace_special_airy_ai_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3506094Z   test_meta_outplace_special_airy_ai_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3506250Z   test_meta_outplace_special_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3506404Z   test_meta_outplace_special_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3506564Z   test_meta_outplace_special_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3506721Z   test_meta_outplace_special_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3506876Z   test_meta_outplace_special_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507029Z   test_meta_outplace_special_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507183Z   test_meta_outplace_special_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507333Z   test_meta_outplace_special_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507487Z   test_meta_outplace_special_bessel_j1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507641Z   test_meta_outplace_special_bessel_j1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507791Z   test_meta_outplace_special_bessel_j1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3507944Z   test_meta_outplace_special_bessel_j1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3508096Z   test_meta_outplace_special_bessel_j1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3508271Z   test_meta_outplace_special_bessel_j1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3508422Z   test_meta_outplace_special_bessel_j1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3508571Z   test_meta_outplace_special_bessel_j1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3508719Z   test_meta_outplace_special_bessel_y0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3508876Z   test_meta_outplace_special_bessel_y0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3509043Z   test_meta_outplace_special_bessel_y0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3509192Z   test_meta_outplace_special_bessel_y0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3509341Z   test_meta_outplace_special_bessel_y0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3509493Z   test_meta_outplace_special_bessel_y0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3509640Z   test_meta_outplace_special_bessel_y0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3509788Z   test_meta_outplace_special_bessel_y0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3509943Z   test_meta_outplace_special_bessel_y1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3510096Z   test_meta_outplace_special_bessel_y1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3510307Z   test_meta_outplace_special_bessel_y1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3510471Z   test_meta_outplace_special_bessel_y1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3510641Z   test_meta_outplace_special_bessel_y1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3510812Z   test_meta_outplace_special_bessel_y1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3510985Z   test_meta_outplace_special_bessel_y1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3511145Z   test_meta_outplace_special_bessel_y1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3511320Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3511496Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3511673Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3511843Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512018Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512189Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512367Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512540Z   test_meta_outplace_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512711Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3512884Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3513060Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3513229Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3513391Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3513586Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3513759Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3513930Z   test_meta_outplace_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3514401Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3514748Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3515125Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3515465Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3515798Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3516122Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3516452Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3516771Z   test_meta_outplace_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3517097Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3517435Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3517776Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3518108Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3518434Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3518760Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3519092Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3519414Z   test_meta_outplace_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3519569Z   test_meta_outplace_special_entr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3519723Z   test_meta_outplace_special_entr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3519871Z   test_meta_outplace_special_entr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520029Z   test_meta_outplace_special_entr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520182Z   test_meta_outplace_special_entr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520332Z   test_meta_outplace_special_entr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520505Z   test_meta_outplace_special_entr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520649Z   test_meta_outplace_special_entr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520798Z   test_meta_outplace_special_entr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3520942Z   test_meta_outplace_special_entr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3521088Z   test_meta_outplace_special_erfcx_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3521234Z   test_meta_outplace_special_erfcx_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3521412Z   test_meta_outplace_special_erfcx_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3521565Z   test_meta_outplace_special_erfcx_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3521712Z   test_meta_outplace_special_erfcx_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3521859Z   test_meta_outplace_special_erfcx_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3522009Z   test_meta_outplace_special_erfcx_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3522153Z   test_meta_outplace_special_erfcx_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3522326Z   test_meta_outplace_special_hermite_polynomial_h_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3522491Z   test_meta_outplace_special_hermite_polynomial_h_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3522665Z   test_meta_outplace_special_hermite_polynomial_h_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3522834Z   test_meta_outplace_special_hermite_polynomial_h_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523005Z   test_meta_outplace_special_hermite_polynomial_h_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523168Z   test_meta_outplace_special_hermite_polynomial_h_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523335Z   test_meta_outplace_special_hermite_polynomial_h_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523497Z   test_meta_outplace_special_hermite_polynomial_h_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523659Z   test_meta_outplace_special_hermite_polynomial_he_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3523832Z   test_meta_outplace_special_hermite_polynomial_he_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524002Z   test_meta_outplace_special_hermite_polynomial_he_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524171Z   test_meta_outplace_special_hermite_polynomial_he_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524338Z   test_meta_outplace_special_hermite_polynomial_he_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524503Z   test_meta_outplace_special_hermite_polynomial_he_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524671Z   test_meta_outplace_special_hermite_polynomial_he_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524833Z   test_meta_outplace_special_hermite_polynomial_he_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3524985Z   test_meta_outplace_special_i0e_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525138Z   test_meta_outplace_special_i0e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525291Z   test_meta_outplace_special_i0e_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525430Z   test_meta_outplace_special_i0e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525575Z   test_meta_outplace_special_i0e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525752Z   test_meta_outplace_special_i0e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3525898Z   test_meta_outplace_special_i0e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526042Z   test_meta_outplace_special_i0e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526189Z   test_meta_outplace_special_i0e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526332Z   test_meta_outplace_special_i0e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526481Z   test_meta_outplace_special_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526647Z   test_meta_outplace_special_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526794Z   test_meta_outplace_special_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3526943Z   test_meta_outplace_special_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527093Z   test_meta_outplace_special_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527232Z   test_meta_outplace_special_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527380Z   test_meta_outplace_special_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527530Z   test_meta_outplace_special_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527676Z   test_meta_outplace_special_i1e_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527820Z   test_meta_outplace_special_i1e_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3527969Z   test_meta_outplace_special_i1e_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528119Z   test_meta_outplace_special_i1e_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528265Z   test_meta_outplace_special_i1e_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528409Z   test_meta_outplace_special_i1e_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528554Z   test_meta_outplace_special_i1e_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528697Z   test_meta_outplace_special_i1e_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3528872Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529038Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529212Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529388Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529556Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529722Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3529893Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3530057Z   test_meta_outplace_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3530399Z   test_meta_outplace_special_legendre_polynomial_p_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3530737Z   test_meta_outplace_special_legendre_polynomial_p_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3531069Z   test_meta_outplace_special_legendre_polynomial_p_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3531423Z   test_meta_outplace_special_legendre_polynomial_p_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3531750Z   test_meta_outplace_special_legendre_polynomial_p_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3532073Z   test_meta_outplace_special_legendre_polynomial_p_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3532400Z   test_meta_outplace_special_legendre_polynomial_p_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3532745Z   test_meta_outplace_special_legendre_polynomial_p_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3532902Z   test_meta_outplace_special_log_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3533062Z   test_meta_outplace_special_log_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3533221Z   test_meta_outplace_special_log_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3533376Z   test_meta_outplace_special_log_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3533533Z   test_meta_outplace_special_log_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3533679Z   test_meta_outplace_special_log_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3533833Z   test_meta_outplace_special_log_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3533987Z   test_meta_outplace_special_log_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3534159Z   test_meta_outplace_special_modified_bessel_i0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3534327Z   test_meta_outplace_special_modified_bessel_i0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3534492Z   test_meta_outplace_special_modified_bessel_i0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3534657Z   test_meta_outplace_special_modified_bessel_i0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3534817Z   test_meta_outplace_special_modified_bessel_i0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3534974Z   test_meta_outplace_special_modified_bessel_i0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3535129Z   test_meta_outplace_special_modified_bessel_i0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3535299Z   test_meta_outplace_special_modified_bessel_i0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3535464Z   test_meta_outplace_special_modified_bessel_i1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3535631Z   test_meta_outplace_special_modified_bessel_i1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3535797Z   test_meta_outplace_special_modified_bessel_i1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3535962Z   test_meta_outplace_special_modified_bessel_i1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3536121Z   test_meta_outplace_special_modified_bessel_i1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3536279Z   test_meta_outplace_special_modified_bessel_i1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3536441Z   test_meta_outplace_special_modified_bessel_i1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3536605Z   test_meta_outplace_special_modified_bessel_i1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3536770Z   test_meta_outplace_special_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3536936Z   test_meta_outplace_special_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3537125Z   test_meta_outplace_special_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3537288Z   test_meta_outplace_special_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3537447Z   test_meta_outplace_special_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3537605Z   test_meta_outplace_special_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3537763Z   test_meta_outplace_special_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3537943Z   test_meta_outplace_special_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3538107Z   test_meta_outplace_special_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3538273Z   test_meta_outplace_special_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3538438Z   test_meta_outplace_special_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3538599Z   test_meta_outplace_special_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3538756Z   test_meta_outplace_special_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3539021Z   test_meta_outplace_special_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3539188Z   test_meta_outplace_special_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3539357Z   test_meta_outplace_special_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3539506Z   test_meta_outplace_special_ndtr_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3539662Z   test_meta_outplace_special_ndtr_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3539819Z   test_meta_outplace_special_ndtr_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3539973Z   test_meta_outplace_special_ndtr_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540126Z   test_meta_outplace_special_ndtr_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540281Z   test_meta_outplace_special_ndtr_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540429Z   test_meta_outplace_special_ndtr_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540576Z   test_meta_outplace_special_ndtr_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540731Z   test_meta_outplace_special_ndtr_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3540871Z   test_meta_outplace_special_ndtr_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3541016Z   test_meta_outplace_special_ndtri_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541173Z   test_meta_outplace_special_ndtri_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541327Z   test_meta_outplace_special_ndtri_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541479Z   test_meta_outplace_special_ndtri_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541626Z   test_meta_outplace_special_ndtri_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541772Z   test_meta_outplace_special_ndtri_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3541924Z   test_meta_outplace_special_ndtri_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3542066Z   test_meta_outplace_special_ndtri_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3542256Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3542486Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3542677Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3542861Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543042Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543225Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543408Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543618Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543790Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3543968Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3544146Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3544325Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3544500Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3544673Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3544849Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3545020Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3545192Z   test_meta_outplace_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3545360Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3545537Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3545712Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3545881Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3546051Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3546220Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3546390Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3546560Z   test_meta_outplace_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3546915Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3547267Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3547609Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3547961Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3548338Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3548683Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3549022Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3549355Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3549712Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3550055Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3550484Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3550836Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3551171Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3551508Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3551852Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3552178Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3552510Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3552850Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3553194Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3553531Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3553860Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3554190Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3554527Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3554856Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3555216Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3555557Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3555896Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3556222Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3556586Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3556918Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3557250Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3557579Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:45:56.3557748Z   test_meta_outplace_special_spherical_bessel_j0_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3557916Z   test_meta_outplace_special_spherical_bessel_j0_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558085Z   test_meta_outplace_special_spherical_bessel_j0_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558257Z   test_meta_outplace_special_spherical_bessel_j0_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558423Z   test_meta_outplace_special_spherical_bessel_j0_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558581Z   test_meta_outplace_special_spherical_bessel_j0_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558737Z   test_meta_outplace_special_spherical_bessel_j0_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3558896Z   test_meta_outplace_special_spherical_bessel_j0_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3559056Z   test_meta_outplace_special_xlog1py_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3559211Z   test_meta_outplace_special_xlog1py_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3559373Z   test_meta_outplace_special_xlog1py_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3559527Z   test_meta_outplace_special_xlog1py_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3559685Z   test_meta_outplace_special_xlog1py_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3559842Z   test_meta_outplace_special_xlog1py_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3559990Z   test_meta_outplace_special_xlog1py_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3560142Z   test_meta_outplace_special_xlog1py_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3560296Z   test_meta_outplace_special_xlog1py_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3560444Z   test_meta_outplace_special_xlog1py_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3560598Z   test_meta_outplace_special_zeta_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3560755Z   test_meta_outplace_special_zeta_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3560907Z   test_meta_outplace_special_zeta_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561086Z   test_meta_outplace_special_zeta_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561234Z   test_meta_outplace_special_zeta_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561372Z   test_meta_outplace_special_zeta_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561521Z   test_meta_outplace_special_zeta_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561666Z   test_meta_outplace_special_zeta_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3561814Z   test_meta_outplace_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3561956Z   test_meta_outplace_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3562134Z   test_meta_outplace_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3562284Z   test_meta_outplace_split_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3562436Z   test_meta_outplace_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3562575Z   test_meta_outplace_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3562724Z   test_meta_outplace_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3562869Z   test_meta_outplace_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563013Z   test_meta_outplace_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563156Z   test_meta_outplace_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563296Z   test_meta_outplace_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563441Z   test_meta_outplace_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563580Z   test_meta_outplace_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563732Z   test_meta_outplace_split_list_args_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3563913Z   test_meta_outplace_split_list_args_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564097Z   test_meta_outplace_split_list_args_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564256Z   test_meta_outplace_split_list_args_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564409Z   test_meta_outplace_split_list_args_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564563Z   test_meta_outplace_split_list_args_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564716Z   test_meta_outplace_split_list_args_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3564876Z   test_meta_outplace_split_list_args_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565021Z   test_meta_outplace_split_list_args_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565177Z   test_meta_outplace_split_list_args_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565328Z   test_meta_outplace_split_list_args_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565478Z   test_meta_outplace_split_list_args_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565636Z   test_meta_outplace_split_with_sizes_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565789Z   test_meta_outplace_split_with_sizes_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3565950Z   test_meta_outplace_split_with_sizes_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566112Z   test_meta_outplace_split_with_sizes_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566271Z   test_meta_outplace_split_with_sizes_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566419Z   test_meta_outplace_split_with_sizes_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566602Z   test_meta_outplace_split_with_sizes_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566756Z   test_meta_outplace_split_with_sizes_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3566911Z   test_meta_outplace_split_with_sizes_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567065Z   test_meta_outplace_split_with_sizes_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567218Z   test_meta_outplace_split_with_sizes_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567369Z   test_meta_outplace_split_with_sizes_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567583Z   test_meta_outplace_split_with_sizes_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567723Z   test_meta_outplace_sqrt_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3567865Z   test_meta_outplace_sqrt_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568018Z   test_meta_outplace_sqrt_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568166Z   test_meta_outplace_sqrt_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568310Z   test_meta_outplace_sqrt_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568454Z   test_meta_outplace_sqrt_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568598Z   test_meta_outplace_sqrt_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568744Z   test_meta_outplace_sqrt_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3568883Z   test_meta_outplace_sqrt_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3569024Z   test_meta_outplace_sqrt_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3569164Z   test_meta_outplace_sqrt_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3569307Z   test_meta_outplace_sqrt_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3569445Z   test_meta_outplace_sqrt_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3569594Z   test_meta_outplace_square_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3569736Z   test_meta_outplace_square_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3569887Z   test_meta_outplace_square_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570030Z   test_meta_outplace_square_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570176Z   test_meta_outplace_square_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3570326Z   test_meta_outplace_square_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570470Z   test_meta_outplace_square_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570614Z   test_meta_outplace_square_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570760Z   test_meta_outplace_square_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3570904Z   test_meta_outplace_square_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571044Z   test_meta_outplace_square_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571177Z   test_meta_outplace_square_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571327Z   test_meta_outplace_squeeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571469Z   test_meta_outplace_squeeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571627Z   test_meta_outplace_squeeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571779Z   test_meta_outplace_squeeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3571925Z   test_meta_outplace_squeeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572100Z   test_meta_outplace_squeeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572249Z   test_meta_outplace_squeeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572395Z   test_meta_outplace_squeeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572534Z   test_meta_outplace_squeeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572677Z   test_meta_outplace_squeeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572824Z   test_meta_outplace_squeeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3572992Z   test_meta_outplace_squeeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3573134Z   test_meta_outplace_squeeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3573280Z   test_meta_outplace_stack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3573425Z   test_meta_outplace_stack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3573574Z   test_meta_outplace_stack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3573714Z   test_meta_outplace_stack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3573860Z   test_meta_outplace_stack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574009Z   test_meta_outplace_stack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574156Z   test_meta_outplace_stack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574298Z   test_meta_outplace_stack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574443Z   test_meta_outplace_stack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574585Z   test_meta_outplace_stack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574725Z   test_meta_outplace_stack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3574862Z   test_meta_outplace_stack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3575002Z   test_meta_outplace_stack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3575145Z   test_meta_outplace_std_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3575294Z   test_meta_outplace_std_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3575439Z   test_meta_outplace_std_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3575581Z   test_meta_outplace_std_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3575724Z   test_meta_outplace_std_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3575864Z   test_meta_outplace_std_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3576010Z   test_meta_outplace_std_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3576167Z   test_meta_outplace_std_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3576320Z   test_meta_outplace_std_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3576468Z   test_meta_outplace_std_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3576611Z   test_meta_outplace_std_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3576751Z   test_meta_outplace_std_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3576899Z   test_meta_outplace_stft_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3577045Z   test_meta_outplace_stft_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3577184Z   test_meta_outplace_stft_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3577324Z   test_meta_outplace_stft_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3577492Z   test_meta_outplace_sub_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3577640Z   test_meta_outplace_sub_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3577785Z   test_meta_outplace_sub_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3577929Z   test_meta_outplace_sub_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3578072Z   test_meta_outplace_sub_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3578211Z   test_meta_outplace_sub_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3578343Z   test_meta_outplace_sub_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3578508Z   test_meta_outplace_sub_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3578647Z   test_meta_outplace_sub_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3578782Z   test_meta_outplace_sub_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3579137Z   test_meta_outplace_sub_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3579273Z   test_meta_outplace_sub_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3579417Z   test_meta_outplace_sum_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3579556Z   test_meta_outplace_sum_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3579695Z   test_meta_outplace_sum_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3579841Z   test_meta_outplace_sum_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3579987Z   test_meta_outplace_sum_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3580130Z   test_meta_outplace_sum_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3580270Z   test_meta_outplace_sum_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3580411Z   test_meta_outplace_sum_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3580552Z   test_meta_outplace_sum_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3580689Z   test_meta_outplace_sum_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3580817Z   test_meta_outplace_sum_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3580956Z   test_meta_outplace_sum_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3581091Z   test_meta_outplace_sum_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3581245Z   test_meta_outplace_sum_to_size_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3581395Z   test_meta_outplace_sum_to_size_cuda_bool (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3581549Z   test_meta_outplace_sum_to_size_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3581704Z   test_meta_outplace_sum_to_size_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3581858Z   test_meta_outplace_sum_to_size_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3582004Z   test_meta_outplace_sum_to_size_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3582140Z   test_meta_outplace_sum_to_size_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3582288Z   test_meta_outplace_sum_to_size_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3582433Z   test_meta_outplace_sum_to_size_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3582574Z   test_meta_outplace_sum_to_size_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3582720Z   test_meta_outplace_sum_to_size_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3582862Z   test_meta_outplace_sum_to_size_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3583009Z   test_meta_outplace_svd_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.300s)
2022-11-23T01:45:56.3583200Z   test_meta_outplace_svd_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.069s)
2022-11-23T01:45:56.3583337Z   test_meta_outplace_svd_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3583480Z   test_meta_outplace_svd_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.089s)
2022-11-23T01:45:56.3583632Z   test_meta_outplace_svd_lowrank_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.271s)
2022-11-23T01:45:56.3583778Z   test_meta_outplace_svd_lowrank_cuda_float64 (__main__.TestMetaCUDA) ... ok (1.275s)
2022-11-23T01:45:56.3583929Z   test_meta_outplace_symeig_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.055s)
2022-11-23T01:45:56.3584115Z   test_meta_outplace_symeig_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.3584261Z   test_meta_outplace_symeig_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.048s)
2022-11-23T01:45:56.3584410Z   test_meta_outplace_symeig_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.049s)
2022-11-23T01:45:56.3584548Z   test_meta_outplace_t_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3584686Z   test_meta_outplace_t_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3584831Z   test_meta_outplace_t_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3584972Z   test_meta_outplace_t_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585111Z   test_meta_outplace_t_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585250Z   test_meta_outplace_t_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585385Z   test_meta_outplace_t_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585524Z   test_meta_outplace_t_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585655Z   test_meta_outplace_t_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585792Z   test_meta_outplace_t_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3585934Z   test_meta_outplace_t_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3586069Z   test_meta_outplace_t_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3586227Z   test_meta_outplace_take_along_dim_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3586377Z   test_meta_outplace_take_along_dim_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3586535Z   test_meta_outplace_take_along_dim_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3586693Z   test_meta_outplace_take_along_dim_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3586845Z   test_meta_outplace_take_along_dim_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587004Z   test_meta_outplace_take_along_dim_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587158Z   test_meta_outplace_take_along_dim_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587315Z   test_meta_outplace_take_along_dim_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587469Z   test_meta_outplace_take_along_dim_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587619Z   test_meta_outplace_take_along_dim_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587768Z   test_meta_outplace_take_along_dim_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3587920Z   test_meta_outplace_take_along_dim_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3588069Z   test_meta_outplace_take_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588204Z   test_meta_outplace_take_cuda_bool (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588351Z   test_meta_outplace_take_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588499Z   test_meta_outplace_take_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588667Z   test_meta_outplace_take_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588811Z   test_meta_outplace_take_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3588952Z   test_meta_outplace_take_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589095Z   test_meta_outplace_take_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589237Z   test_meta_outplace_take_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589369Z   test_meta_outplace_take_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589510Z   test_meta_outplace_take_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589672Z   test_meta_outplace_take_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.082s)
2022-11-23T01:45:56.3589815Z   test_meta_outplace_tan_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3589955Z   test_meta_outplace_tan_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3590105Z   test_meta_outplace_tan_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3590308Z   test_meta_outplace_tan_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3590475Z   test_meta_outplace_tan_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597084Z   test_meta_outplace_tan_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597255Z   test_meta_outplace_tan_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597394Z   test_meta_outplace_tan_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597545Z   test_meta_outplace_tan_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597686Z   test_meta_outplace_tan_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597822Z   test_meta_outplace_tan_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3597970Z   test_meta_outplace_tan_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598109Z   test_meta_outplace_tan_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598258Z   test_meta_outplace_tanh_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598401Z   test_meta_outplace_tanh_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598544Z   test_meta_outplace_tanh_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598693Z   test_meta_outplace_tanh_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598841Z   test_meta_outplace_tanh_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3598988Z   test_meta_outplace_tanh_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599134Z   test_meta_outplace_tanh_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599277Z   test_meta_outplace_tanh_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599422Z   test_meta_outplace_tanh_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599563Z   test_meta_outplace_tanh_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599694Z   test_meta_outplace_tanh_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599833Z   test_meta_outplace_tanh_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3599970Z   test_meta_outplace_tanh_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3600125Z   test_meta_outplace_tensor_split_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3600283Z   test_meta_outplace_tensor_split_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3600443Z   test_meta_outplace_tensor_split_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3600600Z   test_meta_outplace_tensor_split_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3600806Z   test_meta_outplace_tensor_split_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3600952Z   test_meta_outplace_tensor_split_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601106Z   test_meta_outplace_tensor_split_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601258Z   test_meta_outplace_tensor_split_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601404Z   test_meta_outplace_tensor_split_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601548Z   test_meta_outplace_tensor_split_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601720Z   test_meta_outplace_tensor_split_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3601865Z   test_meta_outplace_tensor_split_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3602009Z   test_meta_outplace_tensordot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602158Z   test_meta_outplace_tensordot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602314Z   test_meta_outplace_tensordot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602466Z   test_meta_outplace_tensordot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602613Z   test_meta_outplace_tensordot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602758Z   test_meta_outplace_tensordot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3602903Z   test_meta_outplace_tile_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3603044Z   test_meta_outplace_tile_cuda_bool (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3603196Z   test_meta_outplace_tile_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3603344Z   test_meta_outplace_tile_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3603484Z   test_meta_outplace_tile_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3603628Z   test_meta_outplace_tile_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3603772Z   test_meta_outplace_tile_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3603915Z   test_meta_outplace_tile_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3604056Z   test_meta_outplace_tile_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3604195Z   test_meta_outplace_tile_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3604336Z   test_meta_outplace_tile_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3604476Z   test_meta_outplace_tile_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.017s)
2022-11-23T01:45:56.3604629Z   test_meta_outplace_to_cuda_bfloat16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3604784Z   test_meta_outplace_to_cuda_bool (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3604948Z   test_meta_outplace_to_cuda_complex128 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605108Z   test_meta_outplace_to_cuda_complex64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605263Z   test_meta_outplace_to_cuda_float16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605419Z   test_meta_outplace_to_cuda_float32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605574Z   test_meta_outplace_to_cuda_float64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605736Z   test_meta_outplace_to_cuda_int16 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3605882Z   test_meta_outplace_to_cuda_int32 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3606037Z   test_meta_outplace_to_cuda_int64 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3606219Z   test_meta_outplace_to_cuda_int8 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3606371Z   test_meta_outplace_to_cuda_uint8 (__main__.TestMetaCUDA) ... skip: Skipped! (0.001s)
2022-11-23T01:45:56.3606526Z   test_meta_outplace_to_sparse_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3606676Z   test_meta_outplace_to_sparse_cuda_bool (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3606826Z   test_meta_outplace_to_sparse_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3606979Z   test_meta_outplace_to_sparse_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607147Z   test_meta_outplace_to_sparse_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607295Z   test_meta_outplace_to_sparse_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607440Z   test_meta_outplace_to_sparse_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607591Z   test_meta_outplace_to_sparse_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607737Z   test_meta_outplace_to_sparse_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3607885Z   test_meta_outplace_to_sparse_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3608033Z   test_meta_outplace_to_sparse_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3608179Z   test_meta_outplace_to_sparse_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3608324Z   test_meta_outplace_topk_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3608463Z   test_meta_outplace_topk_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3608612Z   test_meta_outplace_topk_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3608756Z   test_meta_outplace_topk_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3608900Z   test_meta_outplace_topk_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3609043Z   test_meta_outplace_topk_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3609183Z   test_meta_outplace_topk_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3609328Z   test_meta_outplace_topk_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3609465Z   test_meta_outplace_topk_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3609605Z   test_meta_outplace_trace_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3609748Z   test_meta_outplace_trace_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3609905Z   test_meta_outplace_trace_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610052Z   test_meta_outplace_trace_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610201Z   test_meta_outplace_trace_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610349Z   test_meta_outplace_trace_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610493Z   test_meta_outplace_trace_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610639Z   test_meta_outplace_trace_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610775Z   test_meta_outplace_trace_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3610918Z   test_meta_outplace_trace_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3611057Z   test_meta_outplace_trace_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3611199Z   test_meta_outplace_trace_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3611342Z   test_meta_outplace_trace_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3611498Z   test_meta_outplace_transpose_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3611648Z   test_meta_outplace_transpose_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3611829Z   test_meta_outplace_transpose_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3611977Z   test_meta_outplace_transpose_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612127Z   test_meta_outplace_transpose_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612277Z   test_meta_outplace_transpose_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612425Z   test_meta_outplace_transpose_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612570Z   test_meta_outplace_transpose_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612743Z   test_meta_outplace_transpose_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3612891Z   test_meta_outplace_transpose_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3613038Z   test_meta_outplace_transpose_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3613182Z   test_meta_outplace_transpose_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3613328Z   test_meta_outplace_transpose_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3613482Z   test_meta_outplace_trapezoid_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3613637Z   test_meta_outplace_trapezoid_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3613788Z   test_meta_outplace_trapezoid_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3613937Z   test_meta_outplace_trapezoid_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3614087Z   test_meta_outplace_trapezoid_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3614231Z   test_meta_outplace_trapezoid_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3614369Z   test_meta_outplace_trapezoid_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3614520Z   test_meta_outplace_trapezoid_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3614667Z   test_meta_outplace_trapezoid_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3614815Z   test_meta_outplace_trapezoid_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3614960Z   test_meta_outplace_trapezoid_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3615107Z   test_meta_outplace_trapz_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3615260Z   test_meta_outplace_trapz_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3615409Z   test_meta_outplace_trapz_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3615554Z   test_meta_outplace_trapz_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.010s)
2022-11-23T01:45:56.3615693Z   test_meta_outplace_trapz_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3615841Z   test_meta_outplace_trapz_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3615986Z   test_meta_outplace_trapz_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3616128Z   test_meta_outplace_trapz_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3616267Z   test_meta_outplace_trapz_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3616407Z   test_meta_outplace_trapz_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3616546Z   test_meta_outplace_trapz_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3616714Z   test_meta_outplace_triangular_solve_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.018s)
2022-11-23T01:45:56.3616871Z   test_meta_outplace_triangular_solve_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3617031Z   test_meta_outplace_triangular_solve_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3617214Z   test_meta_outplace_triangular_solve_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.009s)
2022-11-23T01:45:56.3617359Z   test_meta_outplace_tril_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3617504Z   test_meta_outplace_tril_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3617651Z   test_meta_outplace_tril_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3617797Z   test_meta_outplace_tril_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3617942Z   test_meta_outplace_tril_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3618100Z   test_meta_outplace_tril_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3618244Z   test_meta_outplace_tril_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3618388Z   test_meta_outplace_tril_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3618532Z   test_meta_outplace_tril_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3618673Z   test_meta_outplace_tril_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3619056Z   test_meta_outplace_tril_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3619200Z   test_meta_outplace_tril_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3619353Z   test_meta_outplace_tril_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3619494Z   test_meta_outplace_tril_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3619633Z   test_meta_outplace_triu_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3619783Z   test_meta_outplace_triu_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3619935Z   test_meta_outplace_triu_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620081Z   test_meta_outplace_triu_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620227Z   test_meta_outplace_triu_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620373Z   test_meta_outplace_triu_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620516Z   test_meta_outplace_triu_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620650Z   test_meta_outplace_triu_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620788Z   test_meta_outplace_triu_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3620927Z   test_meta_outplace_triu_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3621068Z   test_meta_outplace_triu_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3621204Z   test_meta_outplace_triu_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3621354Z   test_meta_outplace_triu_indices_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3621504Z   test_meta_outplace_triu_indices_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3621657Z   test_meta_outplace_true_divide_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3621804Z   test_meta_outplace_true_divide_cuda_bool (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3621962Z   test_meta_outplace_true_divide_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3622118Z   test_meta_outplace_true_divide_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.013s)
2022-11-23T01:45:56.3622277Z   test_meta_outplace_true_divide_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3622430Z   test_meta_outplace_true_divide_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3622578Z   test_meta_outplace_true_divide_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3622723Z   test_meta_outplace_true_divide_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.011s)
2022-11-23T01:45:56.3622922Z   test_meta_outplace_true_divide_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3623070Z   test_meta_outplace_true_divide_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3623207Z   test_meta_outplace_true_divide_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3623356Z   test_meta_outplace_true_divide_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3623501Z   test_meta_outplace_true_divide_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.012s)
2022-11-23T01:45:56.3623648Z   test_meta_outplace_trunc_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3623824Z   test_meta_outplace_trunc_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3623970Z   test_meta_outplace_trunc_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624116Z   test_meta_outplace_trunc_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624263Z   test_meta_outplace_trunc_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624399Z   test_meta_outplace_trunc_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624541Z   test_meta_outplace_trunc_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624682Z   test_meta_outplace_trunc_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624822Z   test_meta_outplace_trunc_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3624970Z   test_meta_outplace_unbind_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625115Z   test_meta_outplace_unbind_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625272Z   test_meta_outplace_unbind_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625422Z   test_meta_outplace_unbind_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625563Z   test_meta_outplace_unbind_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625715Z   test_meta_outplace_unbind_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3625863Z   test_meta_outplace_unbind_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626010Z   test_meta_outplace_unbind_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626160Z   test_meta_outplace_unbind_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626304Z   test_meta_outplace_unbind_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626450Z   test_meta_outplace_unbind_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626595Z   test_meta_outplace_unbind_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626730Z   test_meta_outplace_unbind_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3626883Z   test_meta_outplace_unflatten_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627034Z   test_meta_outplace_unflatten_cuda_bool (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627192Z   test_meta_outplace_unflatten_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627348Z   test_meta_outplace_unflatten_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627497Z   test_meta_outplace_unflatten_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627651Z   test_meta_outplace_unflatten_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627797Z   test_meta_outplace_unflatten_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3627937Z   test_meta_outplace_unflatten_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628084Z   test_meta_outplace_unflatten_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628234Z   test_meta_outplace_unflatten_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628412Z   test_meta_outplace_unflatten_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628563Z   test_meta_outplace_unflatten_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628708Z   test_meta_outplace_unflatten_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3628862Z   test_meta_outplace_unfold_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629014Z   test_meta_outplace_unfold_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629164Z   test_meta_outplace_unfold_copy_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629345Z   test_meta_outplace_unfold_copy_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629503Z   test_meta_outplace_unfold_copy_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629655Z   test_meta_outplace_unfold_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629807Z   test_meta_outplace_unfold_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3629955Z   test_meta_outplace_unfold_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630108Z   test_meta_outplace_unfold_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630323Z   test_meta_outplace_unfold_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630489Z   test_meta_outplace_unfold_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630633Z   test_meta_outplace_unfold_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630781Z   test_meta_outplace_unfold_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.008s)
2022-11-23T01:45:56.3630931Z   test_meta_outplace_unfold_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631074Z   test_meta_outplace_unfold_cuda_bool (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631230Z   test_meta_outplace_unfold_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631379Z   test_meta_outplace_unfold_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631524Z   test_meta_outplace_unfold_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631671Z   test_meta_outplace_unfold_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631812Z   test_meta_outplace_unfold_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3631959Z   test_meta_outplace_unfold_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632101Z   test_meta_outplace_unfold_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632247Z   test_meta_outplace_unfold_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632391Z   test_meta_outplace_unfold_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632533Z   test_meta_outplace_unfold_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632678Z   test_meta_outplace_unfold_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3632828Z   test_meta_outplace_uniform_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3632976Z   test_meta_outplace_uniform_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3633125Z   test_meta_outplace_uniform_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3633272Z   test_meta_outplace_uniform_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3633419Z   test_meta_outplace_uniform_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3633574Z   test_meta_outplace_uniform_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3633734Z   test_meta_outplace_unique_consecutive_cuda_bool (__main__.TestMetaCUDA) ... ok (0.996s)
2022-11-23T01:45:56.3633899Z   test_meta_outplace_unique_consecutive_cuda_float16 (__main__.TestMetaCUDA) ... ok (1.000s)
2022-11-23T01:45:56.3634092Z   test_meta_outplace_unique_consecutive_cuda_float32 (__main__.TestMetaCUDA) ... ok (1.000s)
2022-11-23T01:45:56.3634246Z   test_meta_outplace_unique_consecutive_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.999s)
2022-11-23T01:45:56.3634406Z   test_meta_outplace_unique_consecutive_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.998s)
2022-11-23T01:45:56.3634563Z   test_meta_outplace_unique_consecutive_cuda_int32 (__main__.TestMetaCUDA) ... ok (1.000s)
2022-11-23T01:45:56.3634717Z   test_meta_outplace_unique_consecutive_cuda_int64 (__main__.TestMetaCUDA) ... ok (1.000s)
2022-11-23T01:45:56.3634873Z   test_meta_outplace_unique_consecutive_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.999s)
2022-11-23T01:45:56.3635066Z   test_meta_outplace_unique_consecutive_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.999s)
2022-11-23T01:45:56.3635212Z   test_meta_outplace_unique_cuda_bool (__main__.TestMetaCUDA) ... ok (2.007s)
2022-11-23T01:45:56.3635362Z   test_meta_outplace_unique_cuda_float16 (__main__.TestMetaCUDA) ... ok (2.013s)
2022-11-23T01:45:56.3635510Z   test_meta_outplace_unique_cuda_float32 (__main__.TestMetaCUDA) ... ok (2.014s)
2022-11-23T01:45:56.3635649Z   test_meta_outplace_unique_cuda_float64 (__main__.TestMetaCUDA) ... ok (2.020s)
2022-11-23T01:45:56.3635799Z   test_meta_outplace_unique_cuda_int16 (__main__.TestMetaCUDA) ... ok (2.012s)
2022-11-23T01:45:56.3635944Z   test_meta_outplace_unique_cuda_int32 (__main__.TestMetaCUDA) ... ok (2.011s)
2022-11-23T01:45:56.3636089Z   test_meta_outplace_unique_cuda_int64 (__main__.TestMetaCUDA) ... ok (2.013s)
2022-11-23T01:45:56.3636230Z   test_meta_outplace_unique_cuda_int8 (__main__.TestMetaCUDA) ... ok (2.009s)
2022-11-23T01:45:56.3636373Z   test_meta_outplace_unique_cuda_uint8 (__main__.TestMetaCUDA) ... ok (2.011s)
2022-11-23T01:45:56.3636527Z   test_meta_outplace_unsqueeze_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3636675Z   test_meta_outplace_unsqueeze_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3636828Z   test_meta_outplace_unsqueeze_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3636984Z   test_meta_outplace_unsqueeze_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637135Z   test_meta_outplace_unsqueeze_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637292Z   test_meta_outplace_unsqueeze_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637441Z   test_meta_outplace_unsqueeze_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637588Z   test_meta_outplace_unsqueeze_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637740Z   test_meta_outplace_unsqueeze_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3637887Z   test_meta_outplace_unsqueeze_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3638028Z   test_meta_outplace_unsqueeze_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3638181Z   test_meta_outplace_unsqueeze_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3638328Z   test_meta_outplace_unsqueeze_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3638473Z   test_meta_outplace_var_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3638619Z   test_meta_outplace_var_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3638765Z   test_meta_outplace_var_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3638908Z   test_meta_outplace_var_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3639054Z   test_meta_outplace_var_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3639188Z   test_meta_outplace_var_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.004s)
2022-11-23T01:45:56.3639340Z   test_meta_outplace_var_mean_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3639522Z   test_meta_outplace_var_mean_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3639677Z   test_meta_outplace_var_mean_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3639827Z   test_meta_outplace_var_mean_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.007s)
2022-11-23T01:45:56.3639972Z   test_meta_outplace_var_mean_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3640117Z   test_meta_outplace_var_mean_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.006s)
2022-11-23T01:45:56.3640263Z   test_meta_outplace_vdot_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3640438Z   test_meta_outplace_vdot_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3640580Z   test_meta_outplace_vdot_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3640725Z   test_meta_outplace_vdot_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3640871Z   test_meta_outplace_vdot_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3641014Z   test_meta_outplace_vdot_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3641173Z   test_meta_outplace_view_as_complex_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3641328Z   test_meta_outplace_view_as_complex_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3641484Z   test_meta_outplace_view_as_complex_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3641633Z   test_meta_outplace_view_as_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3641770Z   test_meta_outplace_view_as_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3641932Z   test_meta_outplace_view_as_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642083Z   test_meta_outplace_view_as_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642233Z   test_meta_outplace_view_as_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642379Z   test_meta_outplace_view_as_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642526Z   test_meta_outplace_view_as_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642673Z   test_meta_outplace_view_as_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642823Z   test_meta_outplace_view_as_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3642960Z   test_meta_outplace_view_as_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3643104Z   test_meta_outplace_view_as_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3643253Z   test_meta_outplace_view_as_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3643395Z   test_meta_outplace_view_as_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3643555Z   test_meta_outplace_view_as_real_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3643715Z   test_meta_outplace_view_as_real_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3643871Z   test_meta_outplace_view_copy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644019Z   test_meta_outplace_view_copy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644162Z   test_meta_outplace_view_copy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644309Z   test_meta_outplace_view_copy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644453Z   test_meta_outplace_view_copy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644602Z   test_meta_outplace_view_copy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644748Z   test_meta_outplace_view_copy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3644892Z   test_meta_outplace_view_copy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3645061Z   test_meta_outplace_view_copy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3645205Z   test_meta_outplace_view_copy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3645344Z   test_meta_outplace_view_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3645487Z   test_meta_outplace_view_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3645631Z   test_meta_outplace_view_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3645779Z   test_meta_outplace_view_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3645949Z   test_meta_outplace_view_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646094Z   test_meta_outplace_view_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646239Z   test_meta_outplace_view_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646385Z   test_meta_outplace_view_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646529Z   test_meta_outplace_view_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646664Z   test_meta_outplace_view_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646804Z   test_meta_outplace_view_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3646945Z   test_meta_outplace_view_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3647083Z   test_meta_outplace_view_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3647229Z   test_meta_outplace_vsplit_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3647377Z   test_meta_outplace_vsplit_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3647531Z   test_meta_outplace_vsplit_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3647683Z   test_meta_outplace_vsplit_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3647829Z   test_meta_outplace_vsplit_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3647977Z   test_meta_outplace_vsplit_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648124Z   test_meta_outplace_vsplit_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648271Z   test_meta_outplace_vsplit_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648413Z   test_meta_outplace_vsplit_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648557Z   test_meta_outplace_vsplit_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648702Z   test_meta_outplace_vsplit_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3648846Z   test_meta_outplace_vsplit_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3648982Z   test_meta_outplace_vsplit_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3649131Z   test_meta_outplace_vstack_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3649273Z   test_meta_outplace_vstack_cuda_bool (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3649427Z   test_meta_outplace_vstack_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3649580Z   test_meta_outplace_vstack_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3649725Z   test_meta_outplace_vstack_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3649872Z   test_meta_outplace_vstack_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650017Z   test_meta_outplace_vstack_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650155Z   test_meta_outplace_vstack_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650296Z   test_meta_outplace_vstack_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650462Z   test_meta_outplace_vstack_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650606Z   test_meta_outplace_vstack_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650748Z   test_meta_outplace_vstack_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3650890Z   test_meta_outplace_vstack_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.001s)
2022-11-23T01:45:56.3651037Z   test_meta_outplace_where_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651182Z   test_meta_outplace_where_cuda_bool (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651324Z   test_meta_outplace_where_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651496Z   test_meta_outplace_where_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651643Z   test_meta_outplace_where_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651790Z   test_meta_outplace_where_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3651940Z   test_meta_outplace_where_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652084Z   test_meta_outplace_where_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652229Z   test_meta_outplace_where_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652376Z   test_meta_outplace_where_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652510Z   test_meta_outplace_where_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652651Z   test_meta_outplace_where_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652792Z   test_meta_outplace_where_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.005s)
2022-11-23T01:45:56.3652940Z   test_meta_outplace_xlogy_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3653084Z   test_meta_outplace_xlogy_cuda_bool (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3653232Z   test_meta_outplace_xlogy_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3653375Z   test_meta_outplace_xlogy_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3653522Z   test_meta_outplace_xlogy_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.019s)
2022-11-23T01:45:56.3653655Z   test_meta_outplace_xlogy_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3653800Z   test_meta_outplace_xlogy_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3653936Z   test_meta_outplace_xlogy_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3654075Z   test_meta_outplace_xlogy_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3654217Z   test_meta_outplace_xlogy_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.020s)
2022-11-23T01:45:56.3654362Z   test_meta_outplace_zero__cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3654505Z   test_meta_outplace_zero__cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3654660Z   test_meta_outplace_zero__cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3654801Z   test_meta_outplace_zero__cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3654944Z   test_meta_outplace_zero__cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655088Z   test_meta_outplace_zero__cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655232Z   test_meta_outplace_zero__cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655373Z   test_meta_outplace_zero__cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655518Z   test_meta_outplace_zero__cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655656Z   test_meta_outplace_zero__cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655795Z   test_meta_outplace_zero__cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3655952Z   test_meta_outplace_zero__cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656102Z   test_meta_outplace_zeros_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656246Z   test_meta_outplace_zeros_cuda_bool (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656399Z   test_meta_outplace_zeros_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656546Z   test_meta_outplace_zeros_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656696Z   test_meta_outplace_zeros_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3656840Z   test_meta_outplace_zeros_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657007Z   test_meta_outplace_zeros_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657151Z   test_meta_outplace_zeros_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657287Z   test_meta_outplace_zeros_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657432Z   test_meta_outplace_zeros_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657572Z   test_meta_outplace_zeros_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657718Z   test_meta_outplace_zeros_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3657859Z   test_meta_outplace_zeros_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.002s)
2022-11-23T01:45:56.3658009Z   test_meta_outplace_zeros_like_cuda_bfloat16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3658152Z   test_meta_outplace_zeros_like_cuda_bool (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3658315Z   test_meta_outplace_zeros_like_cuda_complex128 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3658476Z   test_meta_outplace_zeros_like_cuda_complex32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3658632Z   test_meta_outplace_zeros_like_cuda_complex64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3658904Z   test_meta_outplace_zeros_like_cuda_float16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659058Z   test_meta_outplace_zeros_like_cuda_float32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659205Z   test_meta_outplace_zeros_like_cuda_float64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659354Z   test_meta_outplace_zeros_like_cuda_int16 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659494Z   test_meta_outplace_zeros_like_cuda_int32 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659638Z   test_meta_outplace_zeros_like_cuda_int64 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659789Z   test_meta_outplace_zeros_like_cuda_int8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3659938Z   test_meta_outplace_zeros_like_cuda_uint8 (__main__.TestMetaCUDA) ... ok (0.003s)
2022-11-23T01:45:56.3660073Z   test_channels_last (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3660219Z   test_channels_last_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3660363Z   test_channels_last_non_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:45:56.3660514Z   test_complex_noncontiguous_bug (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:45:56.3660658Z   test_empty_strided_non_dense_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3660783Z   test_imag (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3660904Z   test_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3661034Z   test_non_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3661634Z   test_non_leaf_torture (__main__.TestMetaConverter) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:45:56.3661783Z   warnings.warn(message, UserWarning)
2022-11-23T01:45:56.3661860Z ok (0.001s)
2022-11-23T01:45:56.3662010Z   test_requires_grad_false (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3662151Z   test_tensor_outlives_converter (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3662289Z   test_view_as_complex (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3662424Z   test_view_as_real (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:45:56.3662555Z   test_view_dtype (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:45:56.3662685Z   test_view_of_leaf (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:45:56.3662850Z   test_view_of_non_leaf (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:45:56.3662989Z   test_view_of_view_of_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:45:56.3663119Z   test_weakref (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:45:56.3663132Z 
2022-11-23T01:45:56.3663336Z ----------------------------------------------------------------------
2022-11-23T01:45:56.3663426Z Ran 33554 tests in 1288.924s
2022-11-23T01:45:56.3663432Z 
2022-11-23T01:45:56.3663514Z OK (skipped=13453)
2022-11-23T01:45:56.3663519Z 
2022-11-23T01:45:56.3663610Z Generating XML reports...
2022-11-23T01:45:56.3663886Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaCUDA-20221123012420.xml
2022-11-23T01:45:56.3664170Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123012420.xml
2022-11-23T01:45:56.3664176Z 
2022-11-23T01:45:56.3664545Z ##[endgroup]
2022-11-23T01:45:56.3664805Z FINISHED PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_1hqkn2u8)
2022-11-23T01:45:56.3664824Z 
2022-11-23T01:45:56.3665040Z Running test_cpp_extensions_aot_no_ninja ... [2022-11-23 01:45:56.078493]
2022-11-23T01:45:57.7195383Z running install
2022-11-23T01:45:57.7197326Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:45:57.7198127Z   warnings.warn(
2022-11-23T01:45:57.7292986Z running build
2022-11-23T01:45:57.7293325Z running build_py
2022-11-23T01:45:57.7339642Z creating build
2022-11-23T01:45:57.7340504Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T01:45:57.7341476Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:45:57.7342429Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:45:57.7343013Z running build_ext
2022-11-23T01:45:57.7369841Z building 'torch_test_cpp_extension.cpp' extension
2022-11-23T01:45:57.7370372Z creating build/temp.linux-x86_64-cpython-310
2022-11-23T01:45:57.7373784Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:45:58.6720605Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0,
2022-11-23T01:45:58.6721549Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2022-11-23T01:45:58.6722081Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6,
2022-11-23T01:45:58.6722540Z                  from extension.cpp:1:
2022-11-23T01:45:58.6724011Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2022-11-23T01:45:58.6724378Z extension.cpp:36:53:   required from here
2022-11-23T01:45:58.6725115Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::<anonymous>’ [-Wattributes]
2022-11-23T01:45:58.6725601Z  class class_ : public detail::generic_type {
2022-11-23T01:45:58.6725924Z        ^~~~~~
2022-11-23T01:45:58.6726562Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2022-11-23T01:45:58.6728439Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:45:59.0010941Z building 'torch_test_cpp_extension.ort' extension
2022-11-23T01:45:59.0012708Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:45:59.8222526Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:00.1224985Z building 'torch_test_cpp_extension.rng' extension
2022-11-23T01:46:00.1227737Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:46:00.9652702Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0,
2022-11-23T01:46:00.9653418Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6,
2022-11-23T01:46:00.9653965Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2022-11-23T01:46:00.9654588Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8,
2022-11-23T01:46:00.9654922Z                  from rng_extension.cpp:6:
2022-11-23T01:46:00.9655386Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2022-11-23T01:46:00.9655714Z  # pragma unroll
2022-11-23T01:46:00.9655888Z  
2022-11-23T01:46:00.9661595Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:01.2919388Z building 'torch_test_cpp_extension.cuda' extension
2022-11-23T01:46:01.2921350Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension.cpp -o build/temp.linux-x86_64-cpython-310/cuda_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:46:02.0878039Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension_kernel.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T01:46:05.7760725Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:05.7761368Z           detected during:
2022-11-23T01:46:05.7762102Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:05.7762510Z (55): here
2022-11-23T01:46:05.7763061Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:05.7763585Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:46:05.7763796Z 
2022-11-23T01:46:05.8305905Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:05.8306542Z           detected during:
2022-11-23T01:46:05.8307395Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:05.8307806Z (55): here
2022-11-23T01:46:05.8308365Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:05.8308890Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:46:05.8309132Z 
2022-11-23T01:46:12.1781874Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:12.1782856Z           detected during:
2022-11-23T01:46:12.1784104Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:12.1784890Z (55): here
2022-11-23T01:46:12.1785961Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:12.1786982Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:46:12.1787378Z 
2022-11-23T01:46:12.2331681Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:12.2332555Z           detected during:
2022-11-23T01:46:12.2333681Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:12.2334409Z (55): here
2022-11-23T01:46:12.2335405Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:12.2336365Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:46:12.2336739Z 
2022-11-23T01:46:21.6702568Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension_kernel2.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T01:46:25.3553405Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:25.3554120Z           detected during:
2022-11-23T01:46:25.3555279Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:25.3555736Z (55): here
2022-11-23T01:46:25.3556277Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:25.3556802Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:46:25.3557003Z 
2022-11-23T01:46:25.4092001Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:25.4092757Z           detected during:
2022-11-23T01:46:25.4094206Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:25.4094988Z (55): here
2022-11-23T01:46:25.4096093Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:25.4097152Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:46:25.4097565Z 
2022-11-23T01:46:31.7702206Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:31.7703325Z           detected during:
2022-11-23T01:46:31.7704662Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:31.7705372Z (55): here
2022-11-23T01:46:31.7706341Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:31.7707297Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:46:31.7707664Z 
2022-11-23T01:46:31.8240780Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:31.8241330Z           detected during:
2022-11-23T01:46:31.8242096Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:31.8242514Z (55): here
2022-11-23T01:46:31.8243066Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:31.8243600Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:46:31.8243803Z 
2022-11-23T01:46:41.3246131Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cuda_extension.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:41.7160784Z building 'torch_test_cpp_extension.torch_library' extension
2022-11-23T01:46:41.7163122Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c torch_library.cu -o build/temp.linux-x86_64-cpython-310/torch_library.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=torch_library -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T01:46:49.1867821Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:49.1869138Z           detected during:
2022-11-23T01:46:49.1869945Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:49.1870434Z (55): here
2022-11-23T01:46:49.1870969Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:46:49.1871501Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:46:49.1871701Z 
2022-11-23T01:46:49.3329680Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:46:49.3330189Z           detected during:
2022-11-23T01:46:49.3330969Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:49.3331396Z (55): here
2022-11-23T01:46:49.3331947Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:46:49.3332486Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:46:49.3332688Z 
2022-11-23T01:47:14.0508913Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:47:14.0509311Z           detected during:
2022-11-23T01:47:14.0509938Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:47:14.0510536Z (55): here
2022-11-23T01:47:14.0511155Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T01:47:14.0513113Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T01:47:14.0513336Z 
2022-11-23T01:47:14.1982070Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T01:47:14.1982782Z           detected during:
2022-11-23T01:47:14.1984192Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:47:14.1985204Z (55): here
2022-11-23T01:47:14.1987055Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T01:47:14.1987802Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T01:47:14.1988012Z 
2022-11-23T01:47:47.8865592Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:48.1196955Z building 'torch_test_cpp_extension.cublas_extension' extension
2022-11-23T01:47:48.1199890Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cublas_extension.cpp -o build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cublas_extension -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:49.1480573Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cublas_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:49.4867642Z building 'torch_test_cpp_extension.cusolver_extension' extension
2022-11-23T01:47:49.4869305Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cusolver_extension.cpp -o build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cusolver_extension -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:50.3977906Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cusolver_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:50.7357560Z running install_lib
2022-11-23T01:47:50.7401684Z creating install
2022-11-23T01:47:50.7402130Z creating install/opt
2022-11-23T01:47:50.7402435Z creating install/opt/conda
2022-11-23T01:47:50.7402682Z creating install/opt/conda/lib
2022-11-23T01:47:50.7403047Z creating install/opt/conda/lib/python3.10
2022-11-23T01:47:50.7403572Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:50.7407329Z creating install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7408071Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7408717Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7457680Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7503863Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7555744Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7599256Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7600559Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7646211Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:50.7694287Z byte-compiling ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-310.pyc
2022-11-23T01:47:50.7695779Z running install_egg_info
2022-11-23T01:47:50.7801228Z running egg_info
2022-11-23T01:47:50.7801730Z creating torch_test_cpp_extension.egg-info
2022-11-23T01:47:50.7840441Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2022-11-23T01:47:50.7840854Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2022-11-23T01:47:50.7843950Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2022-11-23T01:47:50.7844353Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:47:50.7887315Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:47:50.7894106Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:47:50.7895522Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info
2022-11-23T01:47:50.7897988Z running install_scripts
2022-11-23T01:47:52.6784935Z running install
2022-11-23T01:47:52.6785973Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:47:52.6786375Z   warnings.warn(
2022-11-23T01:47:52.6884121Z running build
2022-11-23T01:47:52.6884356Z running build_ext
2022-11-23T01:47:52.7179656Z building 'no_python_abi_suffix_test' extension
2022-11-23T01:47:52.7180032Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build
2022-11-23T01:47:52.7180549Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310
2022-11-23T01:47:52.7459297Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:47:52.7459826Z Compiling objects...
2022-11-23T01:47:52.7460212Z Using envvar MAX_JOBS (14) as the number of workers...
2022-11-23T01:47:52.8102265Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:52.8143322Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T01:47:52.8145315Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so
2022-11-23T01:47:52.8648427Z running install_lib
2022-11-23T01:47:52.8692291Z creating install
2022-11-23T01:47:52.8693094Z creating install/opt
2022-11-23T01:47:52.8693361Z creating install/opt/conda
2022-11-23T01:47:52.8693584Z creating install/opt/conda/lib
2022-11-23T01:47:52.8693816Z creating install/opt/conda/lib/python3.10
2022-11-23T01:47:52.8694274Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:52.8695220Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:52.8699981Z running install_egg_info
2022-11-23T01:47:52.8800449Z running egg_info
2022-11-23T01:47:52.8800986Z creating no_python_abi_suffix_test.egg-info
2022-11-23T01:47:52.8838732Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2022-11-23T01:47:52.8839797Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2022-11-23T01:47:52.8842233Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2022-11-23T01:47:52.8842626Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:52.8884702Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:52.8889995Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:52.8890525Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info
2022-11-23T01:47:52.8894281Z running install_scripts
2022-11-23T01:47:53.2029320Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:53.202076]
2022-11-23T01:47:57.2656907Z 
2022-11-23T01:47:57.2657951Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:57.2659124Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_f29vs0bg)
2022-11-23T01:47:57.2659417Z 
2022-11-23T01:47:57.2659769Z Running tests...
2022-11-23T01:47:57.2660431Z ----------------------------------------------------------------------
2022-11-23T01:47:57.2661009Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:57.2661349Z   test_backward (__main__.TestCppExtensionAOT) ... ok (0.010s)
2022-11-23T01:47:57.2661669Z   test_cublas_extension (__main__.TestCppExtensionAOT) ... ok (0.631s)
2022-11-23T01:47:57.2662044Z   test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: cuda extension with dlink requires ninja to build (0.001s)
2022-11-23T01:47:57.2662402Z   test_cuda_extension (__main__.TestCppExtensionAOT) ... ok (0.088s)
2022-11-23T01:47:57.2662729Z   test_cusolver_extension (__main__.TestCppExtensionAOT) ... ok (0.059s)
2022-11-23T01:47:57.2663051Z   test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:57.2663368Z   test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:57.2663719Z   test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:57.2664073Z   test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:57.2664352Z   test_add (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:57.2664629Z   test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s)
2022-11-23T01:47:57.2664939Z   test_unregistered (__main__.TestORTTensor) ... ok (0.005s)
2022-11-23T01:47:57.2665211Z   test_zeros (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:57.2665470Z   test_rng (__main__.TestRNGExtension) ... ok (0.003s)
2022-11-23T01:47:57.2666183Z   test_torch_library (__main__.TestTorchLibrary) ... ok (0.047s)
2022-11-23T01:47:57.2666451Z 
2022-11-23T01:47:57.2666873Z ----------------------------------------------------------------------
2022-11-23T01:47:57.2667241Z Ran 15 tests in 0.880s
2022-11-23T01:47:57.2667409Z 
2022-11-23T01:47:57.2667531Z OK (skipped=1)
2022-11-23T01:47:57.2667660Z 
2022-11-23T01:47:57.2667774Z Generating XML reports...
2022-11-23T01:47:57.2668272Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123014755.xml
2022-11-23T01:47:57.2668828Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123014755.xml
2022-11-23T01:47:57.2669392Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123014755.xml
2022-11-23T01:47:57.2669939Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123014755.xml
2022-11-23T01:47:57.2670182Z 
2022-11-23T01:47:57.2670677Z ##[endgroup]
2022-11-23T01:47:57.2671127Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_f29vs0bg)
2022-11-23T01:47:57.2671385Z 
2022-11-23T01:47:57.2671575Z Running test_cuda_nvml_based_avail ... [2022-11-23 01:47:57.265540]
2022-11-23T01:47:57.2672099Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:57.265729]
2022-11-23T01:48:08.4883953Z 
2022-11-23T01:48:08.4884291Z Expand the folded group to see the log file of test_cuda_nvml_based_avail
2022-11-23T01:48:08.4885367Z ##[group]PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_k6xtac9p)
2022-11-23T01:48:08.4886081Z <unittest.suite.TestSuite tests=[]>
2022-11-23T01:48:08.4887224Z <unittest.suite.TestSuite tests=[<__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_False_avoid_init_0>, <__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_False_avoid_init_1>, <__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_False_avoid_init_None>, <__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_True_avoid_init_0>, <__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_True_avoid_init_1>, <__main__.TestExtendedCUDAIsAvail testMethod=test_cuda_is_available_nvml_avail_True_avoid_init_None>]>
2022-11-23T01:48:08.4888466Z test_cuda_is_available_nvml_avail_False_avoid_init_0 (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4888907Z test_cuda_is_available_nvml_avail_False_avoid_init_1 (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4889349Z test_cuda_is_available_nvml_avail_False_avoid_init_None (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4889723Z test_cuda_is_available_nvml_avail_True_avoid_init_0 (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4890080Z test_cuda_is_available_nvml_avail_True_avoid_init_1 (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4890442Z test_cuda_is_available_nvml_avail_True_avoid_init_None (__main__.TestExtendedCUDAIsAvail)
2022-11-23T01:48:08.4891037Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4891398Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4891843Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4892200Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4892380Z 
2022-11-23T01:48:08.4892462Z Running tests...
2022-11-23T01:48:08.4892777Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4893183Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4893552Z   test_cuda_is_available_nvml_avail_False_avoid_init_0 (__main__.TestExtendedCUDAIsAvail) ... ok (0.033s)
2022-11-23T01:48:08.4893762Z 
2022-11-23T01:48:08.4893962Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4894215Z Ran 1 test in 0.033s
2022-11-23T01:48:08.4894340Z 
2022-11-23T01:48:08.4894401Z OK
2022-11-23T01:48:08.4894500Z 
2022-11-23T01:48:08.4894592Z Generating XML reports...
2022-11-23T01:48:08.4895053Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014759.xml
2022-11-23T01:48:08.4895595Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4899642Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4900146Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4900631Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4900824Z 
2022-11-23T01:48:08.4900924Z Running tests...
2022-11-23T01:48:08.4901286Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4901718Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4902205Z   test_cuda_is_available_nvml_avail_False_avoid_init_1 (__main__.TestExtendedCUDAIsAvail) ... ok (0.028s)
2022-11-23T01:48:08.4902420Z 
2022-11-23T01:48:08.4902628Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4902938Z Ran 1 test in 0.028s
2022-11-23T01:48:08.4903061Z 
2022-11-23T01:48:08.4903235Z OK
2022-11-23T01:48:08.4903337Z 
2022-11-23T01:48:08.4903430Z Generating XML reports...
2022-11-23T01:48:08.4903951Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014801.xml
2022-11-23T01:48:08.4904530Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4904900Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4905435Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4905872Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4906046Z 
2022-11-23T01:48:08.4906137Z Running tests...
2022-11-23T01:48:08.4906500Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4906911Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4907355Z   test_cuda_is_available_nvml_avail_False_avoid_init_None (__main__.TestExtendedCUDAIsAvail) ... ok (0.029s)
2022-11-23T01:48:08.4907565Z 
2022-11-23T01:48:08.4907764Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4908072Z Ran 1 test in 0.029s
2022-11-23T01:48:08.4908198Z 
2022-11-23T01:48:08.4908266Z OK
2022-11-23T01:48:08.4908365Z 
2022-11-23T01:48:08.4908449Z Generating XML reports...
2022-11-23T01:48:08.4908958Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014803.xml
2022-11-23T01:48:08.4909510Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4909918Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4910476Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4910879Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4911055Z 
2022-11-23T01:48:08.4911136Z Running tests...
2022-11-23T01:48:08.4911474Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4911922Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4912441Z   test_cuda_is_available_nvml_avail_True_avoid_init_0 (__main__.TestExtendedCUDAIsAvail) ... ok (0.026s)
2022-11-23T01:48:08.4912651Z 
2022-11-23T01:48:08.4912860Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4913204Z Ran 1 test in 0.026s
2022-11-23T01:48:08.4913329Z 
2022-11-23T01:48:08.4913397Z OK
2022-11-23T01:48:08.4913494Z 
2022-11-23T01:48:08.4913585Z Generating XML reports...
2022-11-23T01:48:08.4914083Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014804.xml
2022-11-23T01:48:08.4914632Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4915035Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4915488Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4915900Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4916077Z 
2022-11-23T01:48:08.4916156Z Running tests...
2022-11-23T01:48:08.4916486Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4916932Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4917319Z   test_cuda_is_available_nvml_avail_True_avoid_init_1 (__main__.TestExtendedCUDAIsAvail) ... ok (0.014s)
2022-11-23T01:48:08.4917581Z 
2022-11-23T01:48:08.4917847Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4918102Z Ran 1 test in 0.014s
2022-11-23T01:48:08.4918221Z 
2022-11-23T01:48:08.4918300Z OK
2022-11-23T01:48:08.4918436Z 
2022-11-23T01:48:08.4918543Z Generating XML reports...
2022-11-23T01:48:08.4919000Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014806.xml
2022-11-23T01:48:08.4919598Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:48:08.4919939Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:48:08.4920484Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:48:08.4920856Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:48:08.4921082Z 
2022-11-23T01:48:08.4921157Z Running tests...
2022-11-23T01:48:08.4921469Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4921928Z Test results will be stored in test-reports/python-unittest/test_cuda_nvml_based_avail
2022-11-23T01:48:08.4922310Z   test_cuda_is_available_nvml_avail_True_avoid_init_None (__main__.TestExtendedCUDAIsAvail) ... ok (0.027s)
2022-11-23T01:48:08.4922514Z 
2022-11-23T01:48:08.4922765Z ----------------------------------------------------------------------
2022-11-23T01:48:08.4923025Z Ran 1 test in 0.027s
2022-11-23T01:48:08.4923143Z 
2022-11-23T01:48:08.4923211Z OK
2022-11-23T01:48:08.4923308Z 
2022-11-23T01:48:08.4923396Z Generating XML reports...
2022-11-23T01:48:08.4923904Z Generated XML report: test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014807.xml
2022-11-23T01:48:08.4924176Z 
2022-11-23T01:48:08.4924572Z ##[endgroup]
2022-11-23T01:48:08.4925007Z FINISHED PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_k6xtac9p)
2022-11-23T01:48:08.4925297Z 
2022-11-23T01:48:08.4925477Z Running test_dispatch ... [2022-11-23 01:48:08.488446]
2022-11-23T01:48:08.4925959Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:08.488650]
2022-11-23T01:48:38.4735135Z 
2022-11-23T01:48:38.4735552Z Expand the folded group to see the log file of test_dispatch
2022-11-23T01:48:38.4737843Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_gsg8xvcx)
2022-11-23T01:48:38.4738075Z 
2022-11-23T01:48:38.4738159Z Running tests...
2022-11-23T01:48:38.4740494Z ----------------------------------------------------------------------
2022-11-23T01:48:38.4741607Z Test results will be stored in test-reports/python-unittest/test_dispatch
2022-11-23T01:48:38.4742099Z   test_all_invariants (__main__.TestDispatch) ... ok (1.118s)
2022-11-23T01:48:38.4742395Z   test_computed_table (__main__.TestDispatch) ... ok (8.454s)
2022-11-23T01:48:38.4742713Z   test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.013s)
2022-11-23T01:48:38.4743069Z   test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:38.4743577Z   test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (0.236s)
2022-11-23T01:48:38.4745626Z   test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (0.252s)
2022-11-23T01:48:38.4746175Z   test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (7.927s)
2022-11-23T01:48:38.4746752Z   test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.012s)
2022-11-23T01:48:38.4747263Z   test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.013s)
2022-11-23T01:48:38.4747778Z   test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:38.4748313Z   test_computed_table_with_math (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:38.4749002Z   test_def (__main__.TestDispatch) ... ok (8.142s)
2022-11-23T01:48:38.4749447Z   test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.011s)
2022-11-23T01:48:38.4749862Z   test_def_only (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:38.4750219Z   test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:38.4750614Z   test_def_with_inference (__main__.TestDispatch) ... ok (0.273s)
2022-11-23T01:48:38.4750950Z   test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:38.4751285Z   test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:38.4751776Z   test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu116 as PyTorch extensions root...
2022-11-23T01:48:38.4752222Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu116/dangling_impl_extension...
2022-11-23T01:48:38.4752621Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu116/dangling_impl_extension/build.ninja...
2022-11-23T01:48:38.4753101Z Building extension module dangling_impl_extension...
2022-11-23T01:48:38.4753433Z Using envvar MAX_JOBS (14) as the number of workers...
2022-11-23T01:48:38.4755254Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 
2022-11-23T01:48:38.4756449Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so
2022-11-23T01:48:38.4756844Z Loading extension module dangling_impl_extension...
2022-11-23T01:48:38.4757070Z ok (1.166s)
2022-11-23T01:48:38.4757301Z   test_impl_only (__main__.TestDispatch) ... ok (0.259s)
2022-11-23T01:48:38.4757605Z   test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.008s)
2022-11-23T01:48:38.4757926Z   test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.007s)
2022-11-23T01:48:38.4758222Z   test_multiple_def_error (__main__.TestDispatch) ... ok (0.007s)
2022-11-23T01:48:38.4758519Z   test_multiple_fallback (__main__.TestDispatch) ... ok (0.008s)
2022-11-23T01:48:38.4758934Z   test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T01:48:38.4759297Z   operator: __test45643__::foo
2022-11-23T01:48:38.4759503Z     no debug info
2022-11-23T01:48:38.4759700Z   dispatch key: (catch all)
2022-11-23T01:48:38.4759900Z   previous kernel: fn1
2022-11-23T01:48:38.4760148Z        new kernel: fn2 (function registerKernel)
2022-11-23T01:48:38.4760508Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T01:48:38.4760826Z   operator: __test45644__::foo
2022-11-23T01:48:38.4761020Z     no debug info
2022-11-23T01:48:38.4761218Z   dispatch key: (catch all)
2022-11-23T01:48:38.4761425Z   previous kernel: fn1
2022-11-23T01:48:38.4761653Z        new kernel: fn2 (function registerKernel)
2022-11-23T01:48:38.4761867Z ok (0.001s)
2022-11-23T01:48:38.4762118Z   test_autogradother (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4762417Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4762799Z   test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4763139Z   test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4763475Z   test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4763798Z   test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:38.4764142Z   test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.028s)
2022-11-23T01:48:38.4764347Z 
2022-11-23T01:48:38.4764554Z ----------------------------------------------------------------------
2022-11-23T01:48:38.4764807Z Ran 32 tests in 27.951s
2022-11-23T01:48:38.4764963Z 
2022-11-23T01:48:38.4765031Z OK
2022-11-23T01:48:38.4765130Z 
2022-11-23T01:48:38.4765221Z Generating XML reports...
2022-11-23T01:48:38.4765632Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123014810.xml
2022-11-23T01:48:38.4766155Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123014810.xml
2022-11-23T01:48:38.4766407Z 
2022-11-23T01:48:38.4766680Z ##[endgroup]
2022-11-23T01:48:38.4767071Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_gsg8xvcx)
2022-11-23T01:48:38.4767301Z 
2022-11-23T01:48:38.4767466Z Running test_fake_tensor ... [2022-11-23 01:48:38.473402]
2022-11-23T01:48:38.4767946Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:38.473600]
2022-11-23T01:48:45.1902135Z 
2022-11-23T01:48:45.1902549Z Expand the folded group to see the log file of test_fake_tensor
2022-11-23T01:48:45.1904896Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_nu6smojw)
2022-11-23T01:48:45.1905403Z 
2022-11-23T01:48:45.1905551Z Running tests...
2022-11-23T01:48:45.1906185Z ----------------------------------------------------------------------
2022-11-23T01:48:45.1906778Z Test results will be stored in test-reports/python-unittest/test_fake_tensor
2022-11-23T01:48:45.1907289Z   test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (1.085s)
2022-11-23T01:48:45.1907854Z   test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:45.1908366Z   test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.024s)
2022-11-23T01:48:45.1908890Z   test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:45.1909407Z   test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.001s)
2022-11-23T01:48:45.1909927Z   test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.001s)
2022-11-23T01:48:45.1910499Z   test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:45.1911387Z   test_shared_storages (__main__.FakeTensorConstHandling) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:45.1912220Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:45.1912527Z ok (0.001s)
2022-11-23T01:48:45.1912791Z   test_simple (__main__.FakeTensorConstHandling) ... ok (0.001s)
2022-11-23T01:48:45.1913109Z   test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1913428Z   test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1913808Z   test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1914342Z   test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1914700Z   test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.002s)
2022-11-23T01:48:45.1915019Z   test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1915553Z   test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1916348Z   test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:45.1916879Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:45.1917091Z ok (0.001s)
2022-11-23T01:48:45.1917364Z   test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:45.1917770Z   test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.011s)
2022-11-23T01:48:45.1918117Z   test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.062s)
2022-11-23T01:48:45.1918487Z   test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.003s)
2022-11-23T01:48:45.1918882Z   test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.114s)
2022-11-23T01:48:45.1919708Z   test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with.
2022-11-23T01:48:45.1920199Z   warnings.warn(
2022-11-23T01:48:45.1920390Z ok (0.020s)
2022-11-23T01:48:45.1920620Z   test_basic (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1920913Z   test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1921217Z   test_constructor (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1921505Z   test_cpu_fallback (__main__.FakeTensorTest) ... ok (0.018s)
2022-11-23T01:48:45.1921788Z   test_cudnn_rnn (__main__.FakeTensorTest) ... ok (3.130s)
2022-11-23T01:48:45.1922082Z   test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1922796Z   test_deepcopy (__main__.FakeTensorTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:45.1923285Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:45.1923493Z ok (0.005s)
2022-11-23T01:48:45.1923738Z   test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1924036Z   test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1924329Z   test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1924624Z   test_fallback_memory_prop (__main__.FakeTensorTest) ... ok (0.006s)
2022-11-23T01:48:45.1924916Z   test_from_numpy (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1925218Z   test_index_cuda_with_cpu (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1925513Z   test_like_constructor (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1925798Z   test_mode (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1926075Z   test_nan_to_num (__main__.FakeTensorTest) ... ok (0.008s)
2022-11-23T01:48:45.1926340Z   test_new (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T01:48:45.1926625Z   test_non_kwarg_device (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1926921Z   test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1927221Z   test_normalize_device (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1927518Z   test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1927827Z   test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1928114Z   test_randperm (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1928444Z   test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:45.1928745Z   test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1929026Z   test_setitem (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1929312Z   test_shape_take_not_device (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1929599Z   test_throw (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T01:48:45.1929889Z   test_type_as (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1930163Z   test_zero_dim (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:45.1930356Z 
2022-11-23T01:48:45.1930556Z ----------------------------------------------------------------------
2022-11-23T01:48:45.1930817Z Ran 53 tests in 4.634s
2022-11-23T01:48:45.1930943Z 
2022-11-23T01:48:45.1931035Z OK (expected failures=1)
2022-11-23T01:48:45.1931162Z 
2022-11-23T01:48:45.1931258Z Generating XML reports...
2022-11-23T01:48:45.1931698Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123014839.xml
2022-11-23T01:48:45.1932265Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123014839.xml
2022-11-23T01:48:45.1932842Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123014839.xml
2022-11-23T01:48:45.1933382Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123014839.xml
2022-11-23T01:48:45.1933952Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123014839.xml
2022-11-23T01:48:45.1934196Z 
2022-11-23T01:48:45.1934528Z ##[endgroup]
2022-11-23T01:48:45.1934922Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_nu6smojw)
2022-11-23T01:48:45.1935151Z 
2022-11-23T01:48:45.1935320Z Running test_modules ... [2022-11-23 01:48:45.190592]
2022-11-23T01:48:45.1935796Z Executing ['/opt/conda/bin/python', '-bb', 'test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:45.190882]
2022-11-23T01:51:07.6237518Z 
2022-11-23T01:51:07.6238020Z Expand the folded group to see the log file of test_modules
2022-11-23T01:51:07.6238917Z ##[group]PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_4auooa9m)
2022-11-23T01:51:07.6239372Z 
2022-11-23T01:51:07.6242150Z Running tests...
2022-11-23T01:51:07.6242737Z ----------------------------------------------------------------------
2022-11-23T01:51:07.6243314Z Test results will be stored in test-reports/python-unittest/test_modules
2022-11-23T01:51:07.6243829Z   test_check_inplace_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6244162Z   test_check_inplace_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6244508Z   test_check_inplace_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6244854Z   test_check_inplace_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6245190Z   test_check_inplace_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6247165Z   test_check_inplace_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6247873Z   test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:51:07.6248411Z   test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.002s)
2022-11-23T01:51:07.6248809Z   test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6249181Z   test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6249528Z   test_cpu_gpu_parity_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6250104Z   test_cpu_gpu_parity_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6250494Z   test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.740s)
2022-11-23T01:51:07.6252331Z   test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6252814Z   test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.054s)
2022-11-23T01:51:07.6253339Z   test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6253951Z   test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6254365Z   test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6254717Z   test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6255178Z   test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6255678Z   test_cpu_gpu_parity_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6256152Z   test_cpu_gpu_parity_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.028s)
2022-11-23T01:51:07.6256628Z   test_cpu_gpu_parity_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (1.065s)
2022-11-23T01:51:07.6257091Z   test_cpu_gpu_parity_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6257550Z   test_cpu_gpu_parity_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.076s)
2022-11-23T01:51:07.6257998Z   test_cpu_gpu_parity_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6258450Z   test_cpu_gpu_parity_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.065s)
2022-11-23T01:51:07.6259202Z   test_cpu_gpu_parity_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.028s)
2022-11-23T01:51:07.6260838Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T01:51:07.6261816Z   warnings.warn(
2022-11-23T01:51:07.6262094Z ok (0.023s)
2022-11-23T01:51:07.6263089Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:51:07.6263662Z   result = torch.empty(shape, device=device, dtype=dtype)
2022-11-23T01:51:07.6263915Z expected failure (0.013s)
2022-11-23T01:51:07.6277271Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.022s)
2022-11-23T01:51:07.6277694Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6278078Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6278435Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6278834Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6279211Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6279687Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6280038Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6280400Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6280779Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6281166Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.027s)
2022-11-23T01:51:07.6281518Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6281950Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.016s)
2022-11-23T01:51:07.6282345Z   test_cpu_gpu_parity_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.043s)
2022-11-23T01:51:07.6282739Z   test_cpu_gpu_parity_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.041s)
2022-11-23T01:51:07.6283108Z   test_cpu_gpu_parity_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6283463Z   test_cpu_gpu_parity_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6283835Z   test_cpu_gpu_parity_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6284203Z   test_cpu_gpu_parity_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6284565Z   test_cpu_gpu_parity_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.020s)
2022-11-23T01:51:07.6284929Z   test_cpu_gpu_parity_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6285296Z   test_cpu_gpu_parity_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6285671Z   test_cpu_gpu_parity_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6286054Z   test_cpu_gpu_parity_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.724s)
2022-11-23T01:51:07.6286439Z   test_cpu_gpu_parity_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.529s)
2022-11-23T01:51:07.6286817Z   test_cpu_gpu_parity_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.021s)
2022-11-23T01:51:07.6287208Z   test_cpu_gpu_parity_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.020s)
2022-11-23T01:51:07.6287590Z   test_cpu_gpu_parity_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6287956Z   test_cpu_gpu_parity_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6288320Z   test_cpu_gpu_parity_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6288684Z   test_cpu_gpu_parity_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6289054Z   test_cpu_gpu_parity_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.038s)
2022-11-23T01:51:07.6289421Z   test_cpu_gpu_parity_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6289800Z   test_cpu_gpu_parity_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6290178Z   test_cpu_gpu_parity_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6291232Z   test_cpu_gpu_parity_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86503 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:51:07.6291855Z   test_cpu_gpu_parity_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.741s)
2022-11-23T01:51:07.6292601Z   test_cpu_gpu_parity_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6293177Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6293431Z ok (0.052s)
2022-11-23T01:51:07.6293693Z   test_cpu_gpu_parity_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6294040Z   test_cpu_gpu_parity_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6294380Z   test_cpu_gpu_parity_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.025s)
2022-11-23T01:51:07.6294745Z   test_cpu_gpu_parity_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.034s)
2022-11-23T01:51:07.6295067Z   test_cpu_gpu_parity_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.028s)
2022-11-23T01:51:07.6295431Z   test_cpu_gpu_parity_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6295802Z   test_cpu_gpu_parity_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6296171Z   test_cpu_gpu_parity_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6296526Z   test_cpu_gpu_parity_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6296909Z   test_cpu_gpu_parity_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6297312Z   test_cpu_gpu_parity_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.047s)
2022-11-23T01:51:07.6297661Z   test_cpu_gpu_parity_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.016s)
2022-11-23T01:51:07.6297996Z   test_cpu_gpu_parity_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6298365Z   test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (1.401s)
2022-11-23T01:51:07.6298757Z   test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.352s)
2022-11-23T01:51:07.6299382Z   test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (1.395s)
2022-11-23T01:51:07.6299777Z   test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.353s)
2022-11-23T01:51:07.6300138Z   test_cpu_gpu_parity_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.021s)
2022-11-23T01:51:07.6300477Z   test_cpu_gpu_parity_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.020s)
2022-11-23T01:51:07.6300813Z   test_cpu_gpu_parity_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6301145Z   test_cpu_gpu_parity_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6301486Z   test_cpu_gpu_parity_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6301827Z   test_cpu_gpu_parity_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6302172Z   test_cpu_gpu_parity_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.892s)
2022-11-23T01:51:07.6302519Z   test_cpu_gpu_parity_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.890s)
2022-11-23T01:51:07.6302858Z   test_cpu_gpu_parity_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6303178Z   test_cpu_gpu_parity_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6303518Z   test_cpu_gpu_parity_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6303857Z   test_cpu_gpu_parity_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6304214Z   test_cpu_gpu_parity_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.575s)
2022-11-23T01:51:07.6304664Z   test_cpu_gpu_parity_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.562s)
2022-11-23T01:51:07.6305067Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.406s)
2022-11-23T01:51:07.6305471Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.398s)
2022-11-23T01:51:07.6305873Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.456s)
2022-11-23T01:51:07.6306280Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.356s)
2022-11-23T01:51:07.6306708Z   test_cpu_gpu_parity_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.934s)
2022-11-23T01:51:07.6307086Z   test_cpu_gpu_parity_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.900s)
2022-11-23T01:51:07.6307437Z   test_factory_kwargs_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6307804Z   test_factory_kwargs_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6308171Z   test_factory_kwargs_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6308539Z   test_factory_kwargs_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6308886Z   test_factory_kwargs_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6309228Z   test_factory_kwargs_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6309585Z   test_factory_kwargs_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6309941Z   test_factory_kwargs_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6310308Z   test_factory_kwargs_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6310758Z   test_factory_kwargs_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6311120Z   test_factory_kwargs_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6311468Z   test_factory_kwargs_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6311825Z   test_factory_kwargs_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6312188Z   test_factory_kwargs_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6312534Z   test_factory_kwargs_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6312863Z   test_factory_kwargs_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6313198Z   test_factory_kwargs_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6313526Z   test_factory_kwargs_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6313849Z   test_factory_kwargs_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6314175Z   test_factory_kwargs_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6314495Z   test_factory_kwargs_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6314818Z   test_factory_kwargs_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6315161Z   test_factory_kwargs_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6315523Z   test_factory_kwargs_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6315880Z   test_factory_kwargs_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6316268Z   test_factory_kwargs_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6316621Z   test_factory_kwargs_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6316971Z   test_factory_kwargs_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6317327Z   test_factory_kwargs_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6317680Z   test_factory_kwargs_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6318029Z   test_factory_kwargs_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6318407Z   test_factory_kwargs_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6318763Z   test_factory_kwargs_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6319114Z   test_factory_kwargs_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6319472Z   test_factory_kwargs_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6319823Z   test_factory_kwargs_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6320165Z   test_factory_kwargs_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6320518Z   test_factory_kwargs_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6320874Z   test_factory_kwargs_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6321218Z   test_factory_kwargs_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6321532Z   test_factory_kwargs_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6321862Z   test_factory_kwargs_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6322199Z   test_factory_kwargs_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6322529Z   test_factory_kwargs_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6322857Z   test_factory_kwargs_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6323195Z   test_factory_kwargs_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6323534Z   test_factory_kwargs_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6323869Z   test_factory_kwargs_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6324215Z   test_factory_kwargs_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6324562Z   test_factory_kwargs_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6324918Z   test_factory_kwargs_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6325251Z   test_factory_kwargs_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6325580Z   test_factory_kwargs_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6325913Z   test_factory_kwargs_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6326236Z   test_factory_kwargs_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6326579Z   test_factory_kwargs_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6326951Z   test_factory_kwargs_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6327287Z   test_factory_kwargs_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.086s)
2022-11-23T01:51:07.6327622Z   test_factory_kwargs_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.085s)
2022-11-23T01:51:07.6327992Z   test_factory_kwargs_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.087s)
2022-11-23T01:51:07.6328335Z   test_factory_kwargs_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.086s)
2022-11-23T01:51:07.6328667Z   test_factory_kwargs_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6329006Z   test_factory_kwargs_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6329341Z   test_factory_kwargs_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6329700Z   test_factory_kwargs_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6330020Z   test_factory_kwargs_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6330355Z   test_factory_kwargs_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6330706Z   test_factory_kwargs_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6331070Z   test_factory_kwargs_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6331423Z   test_factory_kwargs_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6331784Z   test_factory_kwargs_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6332147Z   test_factory_kwargs_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6332504Z   test_factory_kwargs_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6332855Z   test_factory_kwargs_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6333186Z   test_factory_kwargs_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6333551Z   test_factory_kwargs_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.092s)
2022-11-23T01:51:07.6333930Z   test_factory_kwargs_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.092s)
2022-11-23T01:51:07.6334313Z   test_factory_kwargs_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.093s)
2022-11-23T01:51:07.6334698Z   test_factory_kwargs_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.093s)
2022-11-23T01:51:07.6335052Z   test_factory_kwargs_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6335376Z   test_factory_kwargs_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6335709Z   test_factory_kwargs_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6336030Z   test_factory_kwargs_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6336368Z   test_factory_kwargs_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.078s)
2022-11-23T01:51:07.6336738Z   test_factory_kwargs_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.078s)
2022-11-23T01:51:07.6337109Z   test_factory_kwargs_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.079s)
2022-11-23T01:51:07.6337441Z   test_factory_kwargs_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.078s)
2022-11-23T01:51:07.6337776Z   test_factory_kwargs_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6338100Z   test_factory_kwargs_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6338425Z   test_factory_kwargs_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6338756Z   test_factory_kwargs_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6339398Z   test_factory_kwargs_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.076s)
2022-11-23T01:51:07.6339842Z   test_factory_kwargs_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.075s)
2022-11-23T01:51:07.6340234Z   test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.062s)
2022-11-23T01:51:07.6340634Z   test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.061s)
2022-11-23T01:51:07.6341038Z   test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.056s)
2022-11-23T01:51:07.6341442Z   test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.055s)
2022-11-23T01:51:07.6341840Z   test_factory_kwargs_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.277s)
2022-11-23T01:51:07.6342185Z   test_factory_kwargs_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.180s)
2022-11-23T01:51:07.6342531Z   test_forward_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6342873Z   test_forward_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6343225Z   test_forward_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6343575Z   test_forward_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6343906Z   test_forward_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6344221Z   test_forward_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6344562Z   test_forward_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6344907Z   test_forward_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6345251Z   test_forward_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6345594Z   test_forward_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6345935Z   test_forward_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6346273Z   test_forward_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6346606Z   test_forward_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6346949Z   test_forward_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6347279Z   test_forward_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6347600Z   test_forward_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6347910Z   test_forward_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6348225Z   test_forward_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6348540Z   test_forward_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6348844Z   test_forward_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6349160Z   test_forward_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6349471Z   test_forward_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6349801Z   test_forward_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6350139Z   test_forward_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6350557Z   test_forward_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6350903Z   test_forward_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6351273Z   test_forward_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6351618Z   test_forward_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6351962Z   test_forward_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6352307Z   test_forward_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6352637Z   test_forward_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6352968Z   test_forward_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6353354Z   test_forward_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6353694Z   test_forward_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6354029Z   test_forward_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6354366Z   test_forward_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6354702Z   test_forward_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6355032Z   test_forward_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6355368Z   test_forward_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6355693Z   test_forward_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6356000Z   test_forward_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6356311Z   test_forward_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6356638Z   test_forward_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6356964Z   test_forward_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6357278Z   test_forward_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6357599Z   test_forward_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.055s)
2022-11-23T01:51:07.6357931Z   test_forward_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.057s)
2022-11-23T01:51:07.6358261Z   test_forward_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.054s)
2022-11-23T01:51:07.6358582Z   test_forward_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.058s)
2022-11-23T01:51:07.6358913Z   test_forward_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6359254Z   test_forward_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6359578Z   test_forward_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6359899Z   test_forward_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6360220Z   test_forward_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6360534Z   test_forward_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6360846Z   test_forward_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6361169Z   test_forward_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6362037Z   test_forward_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86773 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6363177Z   test_forward_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86500 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6364268Z   test_forward_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86505 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6365386Z   test_forward_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86387 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6365969Z   test_forward_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6366302Z   test_forward_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6366630Z   test_forward_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6366953Z   test_forward_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6367263Z   test_forward_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6367587Z   test_forward_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6367932Z   test_forward_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6368286Z   test_forward_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6368643Z   test_forward_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6368999Z   test_forward_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6369347Z   test_forward_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6369684Z   test_forward_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6370022Z   test_forward_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6370346Z   test_forward_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6370696Z   test_forward_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.200s)
2022-11-23T01:51:07.6371058Z   test_forward_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.200s)
2022-11-23T01:51:07.6371430Z   test_forward_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.200s)
2022-11-23T01:51:07.6371802Z   test_forward_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.201s)
2022-11-23T01:51:07.6372145Z   test_forward_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6372469Z   test_forward_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6372789Z   test_forward_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6373109Z   test_forward_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6373428Z   test_forward_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.107s)
2022-11-23T01:51:07.6374291Z   test_forward_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86772 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6374891Z   test_forward_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.106s)
2022-11-23T01:51:07.6375222Z   test_forward_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.114s)
2022-11-23T01:51:07.6375542Z   test_forward_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6375857Z   test_forward_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6376176Z   test_forward_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6376526Z   test_forward_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6376867Z   test_forward_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.115s)
2022-11-23T01:51:07.6377241Z   test_forward_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.117s)
2022-11-23T01:51:07.6377626Z   test_forward_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.084s)
2022-11-23T01:51:07.6378010Z   test_forward_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.087s)
2022-11-23T01:51:07.6378399Z   test_forward_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.075s)
2022-11-23T01:51:07.6378946Z   test_forward_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.078s)
2022-11-23T01:51:07.6379352Z   test_forward_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.200s)
2022-11-23T01:51:07.6379678Z   test_forward_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.206s)
2022-11-23T01:51:07.6380022Z   test_grad_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6380369Z   test_grad_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6380699Z   test_grad_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6381033Z   test_grad_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6381380Z   test_grad_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6381721Z   test_grad_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6382051Z   test_grad_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6382384Z   test_grad_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6382700Z   test_grad_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6383012Z   test_grad_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6383308Z   test_grad_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6383636Z   test_grad_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6383970Z   test_grad_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6384286Z   test_grad_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6384625Z   test_grad_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.046s)
2022-11-23T01:51:07.6384947Z   test_grad_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6385262Z   test_grad_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6385573Z   test_grad_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.020s)
2022-11-23T01:51:07.6385910Z   test_grad_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.015s)
2022-11-23T01:51:07.6386270Z   test_grad_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.018s)
2022-11-23T01:51:07.6386669Z   test_grad_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.022s)
2022-11-23T01:51:07.6387001Z   test_grad_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6387317Z   test_grad_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.020s)
2022-11-23T01:51:07.6387634Z   test_grad_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.037s)
2022-11-23T01:51:07.6387969Z   test_grad_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.016s)
2022-11-23T01:51:07.6388333Z   test_grad_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.022s)
2022-11-23T01:51:07.6389073Z   test_grad_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6389631Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6390201Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6390810Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6391375Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6391877Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6392438Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6392924Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6393167Z ok (0.025s)
2022-11-23T01:51:07.6393759Z   test_grad_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6394298Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6394869Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6395363Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6395931Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6396412Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6396977Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6397458Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6397702Z ok (0.025s)
2022-11-23T01:51:07.6398291Z   test_grad_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6398837Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6399437Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6399927Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6400483Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6400962Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6401524Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6402036Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6402273Z ok (0.027s)
2022-11-23T01:51:07.6402888Z   test_grad_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6403450Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6404006Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6404480Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6404725Z ok (0.013s)
2022-11-23T01:51:07.6405337Z   test_grad_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6405888Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6406438Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6406920Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6407162Z ok (0.013s)
2022-11-23T01:51:07.6407765Z   test_grad_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6408305Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6408866Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6409345Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6409587Z ok (0.015s)
2022-11-23T01:51:07.6409831Z   test_grad_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6410175Z   test_grad_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.871s)
2022-11-23T01:51:07.6410544Z   test_grad_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.804s)
2022-11-23T01:51:07.6410879Z   test_grad_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6411195Z   test_grad_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.029s)
2022-11-23T01:51:07.6411530Z   test_grad_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.015s)
2022-11-23T01:51:07.6411920Z   test_grad_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.018s)
2022-11-23T01:51:07.6412244Z   test_grad_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6412555Z   test_grad_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6412897Z   test_grad_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.248s)
2022-11-23T01:51:07.6413265Z   test_grad_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.687s)
2022-11-23T01:51:07.6413653Z   test_grad_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.621s)
2022-11-23T01:51:07.6414065Z   test_grad_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (2.656s)
2022-11-23T01:51:07.6414413Z   test_gradgrad_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6414769Z   test_gradgrad_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6415115Z   test_gradgrad_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6415456Z   test_gradgrad_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6415813Z   test_gradgrad_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.022s)
2022-11-23T01:51:07.6416162Z   test_gradgrad_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6416515Z   test_gradgrad_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6416854Z   test_gradgrad_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.132s)
2022-11-23T01:51:07.6417175Z   test_gradgrad_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.071s)
2022-11-23T01:51:07.6417494Z   test_gradgrad_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.073s)
2022-11-23T01:51:07.6417814Z   test_gradgrad_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.088s)
2022-11-23T01:51:07.6418153Z   test_gradgrad_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6418492Z   test_gradgrad_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6419087Z   test_gradgrad_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.048s)
2022-11-23T01:51:07.6419452Z   test_gradgrad_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.087s)
2022-11-23T01:51:07.6419779Z   test_gradgrad_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6420104Z   test_gradgrad_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6420432Z   test_gradgrad_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.141s)
2022-11-23T01:51:07.6420777Z   test_gradgrad_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.010s)
2022-11-23T01:51:07.6421139Z   test_gradgrad_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.022s)
2022-11-23T01:51:07.6421494Z   test_gradgrad_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.061s)
2022-11-23T01:51:07.6421829Z   test_gradgrad_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.054s)
2022-11-23T01:51:07.6422147Z   test_gradgrad_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.191s)
2022-11-23T01:51:07.6422497Z   test_gradgrad_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.011s)
2022-11-23T01:51:07.6422869Z   test_gradgrad_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.025s)
2022-11-23T01:51:07.6423579Z   test_gradgrad_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6424185Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6424761Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6425258Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6425820Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6426307Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6426899Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6427381Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6427625Z ok (0.072s)
2022-11-23T01:51:07.6428225Z   test_gradgrad_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6428773Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6429342Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6429829Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6430385Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6430959Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6431516Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6431992Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6432227Z ok (0.074s)
2022-11-23T01:51:07.6432829Z   test_gradgrad_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6433374Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6433939Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6434420Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6434967Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6435444Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6435995Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6436476Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6436712Z ok (0.090s)
2022-11-23T01:51:07.6437379Z   test_gradgrad_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6437947Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6438505Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6438986Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6439274Z ok (0.037s)
2022-11-23T01:51:07.6439891Z   test_gradgrad_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6440453Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6441006Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6441486Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6441733Z ok (0.037s)
2022-11-23T01:51:07.6442341Z   test_gradgrad_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6442902Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6443467Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6443958Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6444195Z ok (0.049s)
2022-11-23T01:51:07.6444452Z   test_gradgrad_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.043s)
2022-11-23T01:51:07.6444809Z   test_gradgrad_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (7.678s)
2022-11-23T01:51:07.6445189Z   test_gradgrad_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (7.681s)
2022-11-23T01:51:07.6445532Z   test_gradgrad_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6445859Z   test_gradgrad_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.159s)
2022-11-23T01:51:07.6446210Z   test_gradgrad_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.011s)
2022-11-23T01:51:07.6446579Z   test_gradgrad_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.022s)
2022-11-23T01:51:07.6446911Z   test_gradgrad_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6447236Z   test_gradgrad_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6447588Z   test_gradgrad_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (14.615s)
2022-11-23T01:51:07.6447969Z   test_gradgrad_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (6.835s)
2022-11-23T01:51:07.6448366Z   test_gradgrad_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (6.299s)
2022-11-23T01:51:07.6448736Z   test_gradgrad_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (39.057s)
2022-11-23T01:51:07.6449106Z   test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6449533Z   test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6449930Z   test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6450323Z   test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6450703Z   test_if_train_and_eval_modes_differ_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6451064Z   test_if_train_and_eval_modes_differ_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6451460Z   test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6451837Z   test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6452194Z   test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6452560Z   test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6452927Z   test_if_train_and_eval_modes_differ_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6453295Z   test_if_train_and_eval_modes_differ_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6453648Z   test_if_train_and_eval_modes_differ_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6454006Z   test_if_train_and_eval_modes_differ_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6454369Z   test_if_train_and_eval_modes_differ_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6454724Z   test_if_train_and_eval_modes_differ_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6455075Z   test_if_train_and_eval_modes_differ_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6455422Z   test_if_train_and_eval_modes_differ_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6456485Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T01:51:07.6457142Z   warnings.warn(
2022-11-23T01:51:07.6457323Z ok (0.002s)
2022-11-23T01:51:07.6457618Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6458020Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6458407Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6458944Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6459405Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6459801Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6460194Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6460569Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6461028Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6461421Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6461807Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6462191Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6462574Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6462952Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6463374Z   test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6463763Z   test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6464136Z   test_if_train_and_eval_modes_differ_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6464486Z   test_if_train_and_eval_modes_differ_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6464846Z   test_if_train_and_eval_modes_differ_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6465214Z   test_if_train_and_eval_modes_differ_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6465571Z   test_if_train_and_eval_modes_differ_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6465930Z   test_if_train_and_eval_modes_differ_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6466279Z   test_if_train_and_eval_modes_differ_nn_GRU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6466631Z   test_if_train_and_eval_modes_differ_nn_GRU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6467000Z   test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6467382Z   test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6467747Z   test_if_train_and_eval_modes_differ_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6468115Z   test_if_train_and_eval_modes_differ_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6468473Z   test_if_train_and_eval_modes_differ_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6468826Z   test_if_train_and_eval_modes_differ_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6469190Z   test_if_train_and_eval_modes_differ_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6469554Z   test_if_train_and_eval_modes_differ_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6469915Z   test_if_train_and_eval_modes_differ_nn_LSTM_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.038s)
2022-11-23T01:51:07.6470260Z   test_if_train_and_eval_modes_differ_nn_LSTM_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.041s)
2022-11-23T01:51:07.6471119Z   test_if_train_and_eval_modes_differ_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:51:07.6471703Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:51:07.6471954Z ok (0.003s)
2022-11-23T01:51:07.6472229Z   test_if_train_and_eval_modes_differ_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6472638Z   test_if_train_and_eval_modes_differ_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6472995Z   test_if_train_and_eval_modes_differ_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6473347Z   test_if_train_and_eval_modes_differ_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6473704Z   test_if_train_and_eval_modes_differ_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6474090Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6474513Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6474904Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6475289Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6475687Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6476086Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6476453Z   test_if_train_and_eval_modes_differ_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6476810Z   test_if_train_and_eval_modes_differ_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6477190Z   test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6477576Z   test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.027s)
2022-11-23T01:51:07.6477946Z   test_if_train_and_eval_modes_differ_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6478305Z   test_if_train_and_eval_modes_differ_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6478668Z   test_if_train_and_eval_modes_differ_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6479028Z   test_if_train_and_eval_modes_differ_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6479376Z   test_if_train_and_eval_modes_differ_nn_RNN_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6479723Z   test_if_train_and_eval_modes_differ_nn_RNN_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6480080Z   test_if_train_and_eval_modes_differ_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6480429Z   test_if_train_and_eval_modes_differ_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6480779Z   test_if_train_and_eval_modes_differ_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6481140Z   test_if_train_and_eval_modes_differ_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6481522Z   test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6481920Z   test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.043s)
2022-11-23T01:51:07.6482326Z   test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.025s)
2022-11-23T01:51:07.6482730Z   test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.027s)
2022-11-23T01:51:07.6483115Z   test_if_train_and_eval_modes_differ_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.089s)
2022-11-23T01:51:07.6483474Z   test_if_train_and_eval_modes_differ_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.093s)
2022-11-23T01:51:07.6483872Z   test_memory_format_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6484237Z   test_memory_format_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6484593Z   test_memory_format_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6484946Z   test_memory_format_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6485311Z   test_memory_format_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6485701Z   test_memory_format_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6486052Z   test_memory_format_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6486401Z   test_memory_format_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6486764Z   test_memory_format_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6487118Z   test_memory_format_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6487464Z   test_memory_format_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6487809Z   test_memory_format_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6488156Z   test_memory_format_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6488510Z   test_memory_format_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6488857Z   test_memory_format_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6489218Z   test_memory_format_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6489561Z   test_memory_format_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6489878Z   test_memory_format_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6490193Z   test_memory_format_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6490538Z   test_memory_format_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6490889Z   test_memory_format_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.020s)
2022-11-23T01:51:07.6491233Z   test_memory_format_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6491590Z   test_memory_format_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6491956Z   test_memory_format_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6492319Z   test_memory_format_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6492667Z   test_memory_format_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6493019Z   test_memory_format_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6493388Z   test_memory_format_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... expected failure (0.006s)
2022-11-23T01:51:07.6493752Z   test_memory_format_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6494111Z   test_memory_format_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6494459Z   test_memory_format_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6494828Z   test_memory_format_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6495239Z   test_memory_format_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... expected failure (0.006s)
2022-11-23T01:51:07.6495629Z   test_memory_format_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.019s)
2022-11-23T01:51:07.6496014Z   test_memory_format_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... expected failure (0.020s)
2022-11-23T01:51:07.6496397Z   test_memory_format_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.017s)
2022-11-23T01:51:07.6496767Z   test_memory_format_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6497166Z   test_memory_format_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6497524Z   test_memory_format_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6497867Z   test_memory_format_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6498179Z   test_memory_format_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6498524Z   test_memory_format_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6499000Z   test_memory_format_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6499340Z   test_memory_format_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6499667Z   test_memory_format_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6500007Z   test_memory_format_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.053s)
2022-11-23T01:51:07.6500350Z   test_memory_format_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.055s)
2022-11-23T01:51:07.6500677Z   test_memory_format_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.053s)
2022-11-23T01:51:07.6501021Z   test_memory_format_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.055s)
2022-11-23T01:51:07.6501383Z   test_memory_format_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6501751Z   test_memory_format_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6502100Z   test_memory_format_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6502436Z   test_memory_format_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6502778Z   test_memory_format_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6503124Z   test_memory_format_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6503464Z   test_memory_format_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6503797Z   test_memory_format_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6504134Z   test_memory_format_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.130s)
2022-11-23T01:51:07.6505287Z   test_memory_format_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86499 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6505900Z   test_memory_format_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.130s)
2022-11-23T01:51:07.6506801Z   test_memory_format_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86634 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6507403Z   test_memory_format_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6507739Z   test_memory_format_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6508066Z   test_memory_format_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6508416Z   test_memory_format_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6508822Z   test_memory_format_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.020s)
2022-11-23T01:51:07.6509189Z   test_memory_format_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6509553Z   test_memory_format_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6509921Z   test_memory_format_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6510282Z   test_memory_format_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6510749Z   test_memory_format_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6511183Z   test_memory_format_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.017s)
2022-11-23T01:51:07.6511578Z   test_memory_format_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.005s)
2022-11-23T01:51:07.6511955Z   test_memory_format_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6512303Z   test_memory_format_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6512690Z   test_memory_format_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6513098Z   test_memory_format_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6513504Z   test_memory_format_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6513905Z   test_memory_format_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6514288Z   test_memory_format_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6514646Z   test_memory_format_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6514993Z   test_memory_format_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6515316Z   test_memory_format_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6516174Z   test_memory_format_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86633 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6517285Z   test_memory_format_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86771 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6517887Z   test_memory_format_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.101s)
2022-11-23T01:51:07.6518776Z   test_memory_format_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86635 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6519374Z   test_memory_format_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6519693Z   test_memory_format_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6520023Z   test_memory_format_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6520398Z   test_memory_format_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6520765Z   test_memory_format_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6521174Z   test_memory_format_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6521594Z   test_memory_format_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6522015Z   test_memory_format_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6522424Z   test_memory_format_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6522848Z   test_memory_format_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6523248Z   test_memory_format_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6523614Z   test_memory_format_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6523992Z   test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6524385Z   test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6524781Z   test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6525170Z   test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6525534Z   test_multiple_device_transfer_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6525897Z   test_multiple_device_transfer_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6526278Z   test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6526657Z   test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6527056Z   test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6527439Z   test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6527822Z   test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6528198Z   test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6528571Z   test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6528959Z   test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6529328Z   test_multiple_device_transfer_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6529714Z   test_multiple_device_transfer_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6530071Z   test_multiple_device_transfer_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6530425Z   test_multiple_device_transfer_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6530778Z   test_multiple_device_transfer_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6531119Z   test_multiple_device_transfer_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6531468Z   test_multiple_device_transfer_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6531851Z   test_multiple_device_transfer_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6532213Z   test_multiple_device_transfer_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6532615Z   test_multiple_device_transfer_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6533014Z   test_multiple_device_transfer_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6533396Z   test_multiple_device_transfer_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6533760Z   test_multiple_device_transfer_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6534138Z   test_multiple_device_transfer_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6534540Z   test_multiple_device_transfer_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6534938Z   test_multiple_device_transfer_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6535312Z   test_multiple_device_transfer_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6535690Z   test_multiple_device_transfer_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6536066Z   test_multiple_device_transfer_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6536460Z   test_multiple_device_transfer_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6536849Z   test_multiple_device_transfer_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6537224Z   test_multiple_device_transfer_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6537597Z   test_multiple_device_transfer_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6537969Z   test_multiple_device_transfer_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6538353Z   test_multiple_device_transfer_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6538717Z   test_multiple_device_transfer_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6539269Z   test_multiple_device_transfer_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6539625Z   test_multiple_device_transfer_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6539983Z   test_multiple_device_transfer_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6540342Z   test_multiple_device_transfer_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6540700Z   test_multiple_device_transfer_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6541054Z   test_multiple_device_transfer_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.083s)
2022-11-23T01:51:07.6541475Z   test_multiple_device_transfer_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.086s)
2022-11-23T01:51:07.6541847Z   test_multiple_device_transfer_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.082s)
2022-11-23T01:51:07.6542212Z   test_multiple_device_transfer_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.086s)
2022-11-23T01:51:07.6542590Z   test_multiple_device_transfer_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6542961Z   test_multiple_device_transfer_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6543370Z   test_multiple_device_transfer_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6543719Z   test_multiple_device_transfer_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6544081Z   test_multiple_device_transfer_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6544438Z   test_multiple_device_transfer_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6544798Z   test_multiple_device_transfer_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6545145Z   test_multiple_device_transfer_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6545514Z   test_multiple_device_transfer_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.184s)
2022-11-23T01:51:07.6545880Z   test_multiple_device_transfer_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.189s)
2022-11-23T01:51:07.6546243Z   test_multiple_device_transfer_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.182s)
2022-11-23T01:51:07.6546607Z   test_multiple_device_transfer_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.209s)
2022-11-23T01:51:07.6546975Z   test_multiple_device_transfer_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6547340Z   test_multiple_device_transfer_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6547690Z   test_multiple_device_transfer_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6548046Z   test_multiple_device_transfer_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6548407Z   test_multiple_device_transfer_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6548762Z   test_multiple_device_transfer_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6549132Z   test_multiple_device_transfer_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6549525Z   test_multiple_device_transfer_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6549917Z   test_multiple_device_transfer_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6550304Z   test_multiple_device_transfer_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6550765Z   test_multiple_device_transfer_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6551186Z   test_multiple_device_transfer_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6551564Z   test_multiple_device_transfer_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6551909Z   test_multiple_device_transfer_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6552297Z   test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.201s)
2022-11-23T01:51:07.6552705Z   test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.203s)
2022-11-23T01:51:07.6553155Z   test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.200s)
2022-11-23T01:51:07.6553557Z   test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.203s)
2022-11-23T01:51:07.6553935Z   test_multiple_device_transfer_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6554290Z   test_multiple_device_transfer_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6554642Z   test_multiple_device_transfer_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6555018Z   test_multiple_device_transfer_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6555380Z   test_multiple_device_transfer_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.150s)
2022-11-23T01:51:07.6555744Z   test_multiple_device_transfer_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.158s)
2022-11-23T01:51:07.6556112Z   test_multiple_device_transfer_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.150s)
2022-11-23T01:51:07.6556474Z   test_multiple_device_transfer_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.158s)
2022-11-23T01:51:07.6556879Z   test_multiple_device_transfer_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6557229Z   test_multiple_device_transfer_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6557574Z   test_multiple_device_transfer_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6557931Z   test_multiple_device_transfer_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6558313Z   test_multiple_device_transfer_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.175s)
2022-11-23T01:51:07.6558723Z   test_multiple_device_transfer_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.178s)
2022-11-23T01:51:07.6559133Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.128s)
2022-11-23T01:51:07.6559556Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.130s)
2022-11-23T01:51:07.6559981Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.113s)
2022-11-23T01:51:07.6560402Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.116s)
2022-11-23T01:51:07.6560787Z   test_multiple_device_transfer_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.303s)
2022-11-23T01:51:07.6561153Z   test_multiple_device_transfer_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.308s)
2022-11-23T01:51:07.6561543Z   test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6561957Z   test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... skip: Skipped! (0.003s)
2022-11-23T01:51:07.6562342Z   test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6562720Z   test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6563090Z   test_non_contiguous_tensors_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6563439Z   test_non_contiguous_tensors_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6563806Z   test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6564184Z   test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6564622Z   test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6564995Z   test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6565364Z   test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6565743Z   test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6566120Z   test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.010s)
2022-11-23T01:51:07.6566521Z   test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.009s)
2022-11-23T01:51:07.6566886Z   test_non_contiguous_tensors_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6567250Z   test_non_contiguous_tensors_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.034s)
2022-11-23T01:51:07.6567599Z   test_non_contiguous_tensors_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6567937Z   test_non_contiguous_tensors_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.029s)
2022-11-23T01:51:07.6568279Z   test_non_contiguous_tensors_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6568618Z   test_non_contiguous_tensors_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6568954Z   test_non_contiguous_tensors_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6569298Z   test_non_contiguous_tensors_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6569658Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.025s)
2022-11-23T01:51:07.6570584Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81732 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:51:07.6571233Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.025s)
2022-11-23T01:51:07.6571604Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6571982Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.016s)
2022-11-23T01:51:07.6572360Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.025s)
2022-11-23T01:51:07.6572727Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6573106Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6573471Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6573838Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.016s)
2022-11-23T01:51:07.6574207Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.029s)
2022-11-23T01:51:07.6574581Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6574955Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6575322Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6575725Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6576104Z   test_non_contiguous_tensors_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.063s)
2022-11-23T01:51:07.6576482Z   test_non_contiguous_tensors_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.060s)
2022-11-23T01:51:07.6576834Z   test_non_contiguous_tensors_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6577166Z   test_non_contiguous_tensors_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6577515Z   test_non_contiguous_tensors_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6577893Z   test_non_contiguous_tensors_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.012s)
2022-11-23T01:51:07.6578238Z   test_non_contiguous_tensors_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6578586Z   test_non_contiguous_tensors_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6579067Z   test_non_contiguous_tensors_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6579457Z   test_non_contiguous_tensors_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.012s)
2022-11-23T01:51:07.6579841Z   test_non_contiguous_tensors_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.033s)
2022-11-23T01:51:07.6580229Z   test_non_contiguous_tensors_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.033s)
2022-11-23T01:51:07.6580612Z   test_non_contiguous_tensors_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6580982Z   test_non_contiguous_tensors_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.029s)
2022-11-23T01:51:07.6581335Z   test_non_contiguous_tensors_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6581691Z   test_non_contiguous_tensors_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6582042Z   test_non_contiguous_tensors_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6582379Z   test_non_contiguous_tensors_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6582728Z   test_non_contiguous_tensors_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6583080Z   test_non_contiguous_tensors_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6583459Z   test_non_contiguous_tensors_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.013s)
2022-11-23T01:51:07.6583836Z   test_non_contiguous_tensors_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.013s)
2022-11-23T01:51:07.6584234Z   test_non_contiguous_tensors_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.040s)
2022-11-23T01:51:07.6584620Z   test_non_contiguous_tensors_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.040s)
2022-11-23T01:51:07.6584988Z   test_non_contiguous_tensors_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6585335Z   test_non_contiguous_tensors_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.030s)
2022-11-23T01:51:07.6585684Z   test_non_contiguous_tensors_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6586042Z   test_non_contiguous_tensors_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6586394Z   test_non_contiguous_tensors_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6586759Z   test_non_contiguous_tensors_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.031s)
2022-11-23T01:51:07.6587208Z   test_non_contiguous_tensors_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6587598Z   test_non_contiguous_tensors_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6587975Z   test_non_contiguous_tensors_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6588356Z   test_non_contiguous_tensors_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6588739Z   test_non_contiguous_tensors_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6589155Z   test_non_contiguous_tensors_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6589509Z   test_non_contiguous_tensors_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.022s)
2022-11-23T01:51:07.6589858Z   test_non_contiguous_tensors_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.021s)
2022-11-23T01:51:07.6590240Z   test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (1.210s)
2022-11-23T01:51:07.6590725Z   test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.160s)
2022-11-23T01:51:07.6591145Z   test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (1.211s)
2022-11-23T01:51:07.6591546Z   test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (1.160s)
2022-11-23T01:51:07.6591915Z   test_non_contiguous_tensors_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6592270Z   test_non_contiguous_tensors_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6592610Z   test_non_contiguous_tensors_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.034s)
2022-11-23T01:51:07.6592959Z   test_non_contiguous_tensors_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6593333Z   test_non_contiguous_tensors_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.013s)
2022-11-23T01:51:07.6593709Z   test_non_contiguous_tensors_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.013s)
2022-11-23T01:51:07.6594100Z   test_non_contiguous_tensors_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... expected failure (0.033s)
2022-11-23T01:51:07.6594487Z   test_non_contiguous_tensors_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... expected failure (0.033s)
2022-11-23T01:51:07.6594857Z   test_non_contiguous_tensors_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6595194Z   test_non_contiguous_tensors_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.015s)
2022-11-23T01:51:07.6595541Z   test_non_contiguous_tensors_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6595889Z   test_non_contiguous_tensors_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.011s)
2022-11-23T01:51:07.6596265Z   test_non_contiguous_tensors_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.616s)
2022-11-23T01:51:07.6596657Z   test_non_contiguous_tensors_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.587s)
2022-11-23T01:51:07.6597062Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.448s)
2022-11-23T01:51:07.6597480Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.426s)
2022-11-23T01:51:07.6597902Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.405s)
2022-11-23T01:51:07.6598314Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.385s)
2022-11-23T01:51:07.6598734Z   test_non_contiguous_tensors_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.931s)
2022-11-23T01:51:07.6599093Z   test_non_contiguous_tensors_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.883s)
2022-11-23T01:51:07.6599443Z   test_pickle_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6599798Z   test_pickle_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6600146Z   test_pickle_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6600499Z   test_pickle_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6600872Z   test_pickle_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6601201Z   test_pickle_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6601541Z   test_pickle_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6601892Z   test_pickle_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6602237Z   test_pickle_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6602587Z   test_pickle_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6602930Z   test_pickle_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6603272Z   test_pickle_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6603624Z   test_pickle_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6603965Z   test_pickle_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6604299Z   test_pickle_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6604623Z   test_pickle_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6604940Z   test_pickle_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6605254Z   test_pickle_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6605565Z   test_pickle_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6605873Z   test_pickle_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6606189Z   test_pickle_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6606506Z   test_pickle_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6606830Z   test_pickle_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6607200Z   test_pickle_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.003s)
2022-11-23T01:51:07.6607566Z   test_pickle_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6607904Z   test_pickle_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6608243Z   test_pickle_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6608588Z   test_pickle_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6608958Z   test_pickle_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.002s)
2022-11-23T01:51:07.6609312Z   test_pickle_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6609653Z   test_pickle_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6609992Z   test_pickle_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6610359Z   test_pickle_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6610725Z   test_pickle_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... expected failure (0.002s)
2022-11-23T01:51:07.6611090Z   test_pickle_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6611428Z   test_pickle_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6611755Z   test_pickle_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6612095Z   test_pickle_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.014s)
2022-11-23T01:51:07.6612471Z   test_pickle_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.013s)
2022-11-23T01:51:07.6612798Z   test_pickle_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6613099Z   test_pickle_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6613419Z   test_pickle_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6613743Z   test_pickle_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6614055Z   test_pickle_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6614370Z   test_pickle_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6615234Z   test_pickle_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86501 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6616331Z   test_pickle_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86636 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6617414Z   test_pickle_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86502 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6617994Z   test_pickle_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.051s)
2022-11-23T01:51:07.6618327Z   test_pickle_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6618665Z   test_pickle_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6619109Z   test_pickle_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6619432Z   test_pickle_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6619741Z   test_pickle_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6620056Z   test_pickle_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6620372Z   test_pickle_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.006s)
2022-11-23T01:51:07.6620685Z   test_pickle_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6621005Z   test_pickle_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.112s)
2022-11-23T01:51:07.6621336Z   test_pickle_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.115s)
2022-11-23T01:51:07.6621662Z   test_pickle_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.112s)
2022-11-23T01:51:07.6622543Z   test_pickle_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86637 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:51:07.6623143Z   test_pickle_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6623467Z   test_pickle_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6623787Z   test_pickle_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6624128Z   test_pickle_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6624448Z   test_pickle_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6624764Z   test_pickle_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6625098Z   test_pickle_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6625452Z   test_pickle_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.004s)
2022-11-23T01:51:07.6625800Z   test_pickle_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6626144Z   test_pickle_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6626476Z   test_pickle_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6626881Z   test_pickle_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6627219Z   test_pickle_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6627527Z   test_pickle_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.005s)
2022-11-23T01:51:07.6627874Z   test_pickle_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.193s)
2022-11-23T01:51:07.6628247Z   test_pickle_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.193s)
2022-11-23T01:51:07.6628619Z   test_pickle_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.192s)
2022-11-23T01:51:07.6628975Z   test_pickle_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.193s)
2022-11-23T01:51:07.6629314Z   test_pickle_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6629631Z   test_pickle_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.008s)
2022-11-23T01:51:07.6629946Z   test_pickle_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6630253Z   test_pickle_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.007s)
2022-11-23T01:51:07.6630660Z   test_pickle_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.094s)
2022-11-23T01:51:07.6631017Z   test_pickle_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.099s)
2022-11-23T01:51:07.6631335Z   test_pickle_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.092s)
2022-11-23T01:51:07.6631662Z   test_pickle_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.099s)
2022-11-23T01:51:07.6631979Z   test_pickle_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6632290Z   test_pickle_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6632591Z   test_pickle_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6632906Z   test_pickle_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.003s)
2022-11-23T01:51:07.6633256Z   test_pickle_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.132s)
2022-11-23T01:51:07.6633617Z   test_pickle_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.135s)
2022-11-23T01:51:07.6634031Z   test_pickle_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.101s)
2022-11-23T01:51:07.6634422Z   test_pickle_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.103s)
2022-11-23T01:51:07.6634812Z   test_pickle_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.091s)
2022-11-23T01:51:07.6635194Z   test_pickle_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.093s)
2022-11-23T01:51:07.6635550Z   test_pickle_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.230s)
2022-11-23T01:51:07.6635877Z   test_pickle_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.236s)
2022-11-23T01:51:07.6636246Z   test_repr_ao_nn_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6636583Z   test_repr_ao_nn_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6636931Z   test_repr_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6637276Z   test_repr_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6637600Z   test_repr_nn_AvgPool1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6637915Z   test_repr_nn_AvgPool1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6638243Z   test_repr_nn_BatchNorm2d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6638585Z   test_repr_nn_BatchNorm2d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6638912Z   test_repr_nn_BatchNorm2d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6639258Z   test_repr_nn_BatchNorm2d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6639594Z   test_repr_nn_BatchNorm3d_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6639926Z   test_repr_nn_BatchNorm3d_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6640260Z   test_repr_nn_BatchNorm3d_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6640598Z   test_repr_nn_BatchNorm3d_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6640918Z   test_repr_nn_Bilinear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6641224Z   test_repr_nn_Bilinear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6641530Z   test_repr_nn_Conv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6641840Z   test_repr_nn_Conv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6642133Z   test_repr_nn_Conv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6642429Z   test_repr_nn_Conv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6642741Z   test_repr_nn_Conv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6643045Z   test_repr_nn_Conv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6643357Z   test_repr_nn_ConvTranspose1d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6643699Z   test_repr_nn_ConvTranspose1d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6644041Z   test_repr_nn_ConvTranspose1d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6644370Z   test_repr_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6644702Z   test_repr_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6645042Z   test_repr_nn_ConvTranspose2d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6645379Z   test_repr_nn_ConvTranspose2d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6645755Z   test_repr_nn_ConvTranspose2d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6646091Z   test_repr_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6646423Z   test_repr_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6646746Z   test_repr_nn_ConvTranspose3d_cuda_complex128 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6647081Z   test_repr_nn_ConvTranspose3d_cuda_complex32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6647418Z   test_repr_nn_ConvTranspose3d_cuda_complex64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6647776Z   test_repr_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6648095Z   test_repr_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6648430Z   test_repr_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6648767Z   test_repr_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6649079Z   test_repr_nn_ELU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6649381Z   test_repr_nn_ELU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6649690Z   test_repr_nn_Embedding_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6650010Z   test_repr_nn_Embedding_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6650317Z   test_repr_nn_GRUCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6650625Z   test_repr_nn_GRUCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6650944Z   test_repr_nn_GRU_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6651257Z   test_repr_nn_GRU_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6651584Z   test_repr_nn_GRU_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6651906Z   test_repr_nn_GRU_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.018s)
2022-11-23T01:51:07.6652235Z   test_repr_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6652558Z   test_repr_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6652883Z   test_repr_nn_Hardswish_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6653199Z   test_repr_nn_Hardswish_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6653506Z   test_repr_nn_L1Loss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6653819Z   test_repr_nn_L1Loss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6654134Z   test_repr_nn_LSTMCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6654448Z   test_repr_nn_LSTMCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6654764Z   test_repr_nn_LSTM_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.036s)
2022-11-23T01:51:07.6655088Z   test_repr_nn_LSTM_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6655413Z   test_repr_nn_LSTM_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.037s)
2022-11-23T01:51:07.6655723Z   test_repr_nn_LSTM_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.040s)
2022-11-23T01:51:07.6656043Z   test_repr_nn_LazyConv1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6656365Z   test_repr_nn_LazyConv1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6656715Z   test_repr_nn_LazyConv2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6657053Z   test_repr_nn_LazyConv2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6657199Z   test_repr_nn_LazyConv3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6657376Z   test_repr_nn_LazyConv3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6657546Z   test_repr_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6657710Z   test_repr_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6657874Z   test_repr_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6658034Z   test_repr_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6658194Z   test_repr_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6658376Z   test_repr_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6658523Z   test_repr_nn_Linear_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6658667Z   test_repr_nn_Linear_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6659032Z   test_repr_nn_MultiheadAttention_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6659210Z   test_repr_nn_MultiheadAttention_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6659386Z   test_repr_nn_MultiheadAttention_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.023s)
2022-11-23T01:51:07.6659555Z   test_repr_nn_MultiheadAttention_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.026s)
2022-11-23T01:51:07.6659701Z   test_repr_nn_NLLLoss_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6659839Z   test_repr_nn_NLLLoss_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6659987Z   test_repr_nn_RNNCell_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6660132Z   test_repr_nn_RNNCell_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.002s)
2022-11-23T01:51:07.6660281Z   test_repr_nn_RNN_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.033s)
2022-11-23T01:51:07.6660430Z   test_repr_nn_RNN_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.035s)
2022-11-23T01:51:07.6660580Z   test_repr_nn_RNN_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.032s)
2022-11-23T01:51:07.6660726Z   test_repr_nn_RNN_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.034s)
2022-11-23T01:51:07.6660868Z   test_repr_nn_ReLU_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6661001Z   test_repr_nn_ReLU_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6661145Z   test_repr_nn_Sigmoid_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6661292Z   test_repr_nn_Sigmoid_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.001s)
2022-11-23T01:51:07.6661467Z   test_repr_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.024s)
2022-11-23T01:51:07.6661639Z   test_repr_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.028s)
2022-11-23T01:51:07.6661823Z   test_repr_nn_TransformerEncoderLayer_eval_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6662004Z   test_repr_nn_TransformerEncoderLayer_eval_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.021s)
2022-11-23T01:51:07.6662189Z   test_repr_nn_TransformerEncoderLayer_train_mode_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.017s)
2022-11-23T01:51:07.6662373Z   test_repr_nn_TransformerEncoderLayer_train_mode_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.019s)
2022-11-23T01:51:07.6662517Z   test_repr_nn_Transformer_cuda_float32 (__main__.TestModuleCUDA) ... ok (0.068s)
2022-11-23T01:51:07.6662669Z   test_repr_nn_Transformer_cuda_float64 (__main__.TestModuleCUDA) ... ok (0.073s)
2022-11-23T01:51:07.6662682Z 
2022-11-23T01:51:07.6662896Z ----------------------------------------------------------------------
2022-11-23T01:51:07.6662984Z Ran 972 tests in 138.279s
2022-11-23T01:51:07.6662989Z 
2022-11-23T01:51:07.6663093Z OK (skipped=46, expected failures=49)
2022-11-23T01:51:07.6663152Z 
2022-11-23T01:51:07.6663245Z Generating XML reports...
2022-11-23T01:51:07.6663534Z Generated XML report: test-reports/python-unittest/test_modules/TEST-TestModuleCUDA-20221123014848.xml
2022-11-23T01:51:07.6663540Z 
2022-11-23T01:51:07.6663931Z ##[endgroup]
2022-11-23T01:51:07.6664201Z FINISHED PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_4auooa9m)
2022-11-23T01:51:07.6664206Z 
2022-11-23T01:51:07.6664391Z Running test_ops_fwd_gradients ... [2022-11-23 01:51:07.624627]
2022-11-23T01:51:10.1354989Z Ignoring disabled issues:  []
2022-11-23T01:51:10.1510985Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:51:10.150625]
2022-11-23T01:51:10.1856951Z Ignoring disabled issues:  []
2022-11-23T01:51:10.2016364Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:51:10.201098]
2022-11-23T01:56:55.8484244Z 
2022-11-23T01:56:55.8484660Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:56:55.8487473Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_z9kotte9)
2022-11-23T01:56:55.8488426Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0b47ca155048b5b3.xml
2022-11-23T01:56:55.8488966Z ============================= test session starts ==============================
2022-11-23T01:56:55.8500933Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:56:55.8501374Z cachedir: .pytest_cache
2022-11-23T01:56:55.8502017Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:56:55.8502512Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:56:55.8503099Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:56:55.8503544Z collecting ... collected 2901 items / 4 deselected / 2897 selected
2022-11-23T01:56:55.8686591Z Running 1429 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rpow___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__softmax_backward_data_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_abs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcdiv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_decomposed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_all_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_allclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_any_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_arange_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argwhere_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bernoulli_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_block_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bucketize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_byte_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cartesian_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdouble_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ceil_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cfloat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chalf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_inverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_combinations_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_constant_pad_nd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_corrcoef_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cummin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_deg2rad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diff_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_digamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dist_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_floor_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_trunc_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_equal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erfinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flip_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fliplr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flipud_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_floor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_floor_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_frac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ge_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_geqrf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_geqrf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gradient_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gradient_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_grid_sampler_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_half_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_heaviside_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_imag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_reduce_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isfinite_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isnan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isreal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isreal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_unary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kron_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kron_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ldexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_le_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lerp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cond_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_householder_product_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_slogdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vander_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vander_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vector_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_and_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_not_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_or_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_or_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_xor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_long_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_unpack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mH_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mT_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matrix_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_maximum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_movedim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nan_to_num_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanmean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanmedian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ne_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional__scaled_dot_product_attention_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_alpha_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cosine_similarity_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_embedding_bag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_fractional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_glu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_grid_sample_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_group_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardswish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_huber_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_instance_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_area_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_kl_div_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_l1_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_logsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool1d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_mish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_circular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_constant_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_reflect_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_replicate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_replicate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_silu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softplus_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softsign_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_tanhshrink_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_threshold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_upsample_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_fro_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_inf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_nuc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_normal_number_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ormqr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_permute_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pinverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pinverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polar_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_4_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_positive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_quantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ravel_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_real_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reciprocal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_remainder_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_interleave_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize_as__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize_as__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_roll_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rot90_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_neg_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scalar_tensor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_searchsorted_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_segment_reduce_lengths_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_segment_reduce_offsets_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sgn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_short_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_short_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sigmoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_gaussian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_kaiser_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_erfcx_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_hermite_polynomial_h_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_hermite_polynomial_he_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_laguerre_polynomial_l_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_log_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_spherical_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_list_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_list_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_with_sizes_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_square_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_to_size_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_to_size_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_symeig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_symeig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_along_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensor_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensor_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensordot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensordot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_sparse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_topk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_transpose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_transpose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triangular_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triangular_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trunc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unflatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_uniform_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_uniform_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unique_consecutive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unique_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unsqueeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_where_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_xlogy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_H_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_T_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___getitem___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___getitem___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rdiv___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rdiv___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmod___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rsub___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD__softmax_backward_data_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_abs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcdiv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_all_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_all_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_allclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_aminmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_any_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_baddbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bernoulli_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bfloat16_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_block_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bool_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_byte_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cartesian_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cartesian_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ceil_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chalf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_char_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_char_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_max_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_min_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clone_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_column_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_combinations_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_constant_pad_nd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_constant_pad_nd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_contiguous_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_contiguous_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_corrcoef_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_count_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_count_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_deg2rad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_embed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diff_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dist_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_floor_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_no_rounding_mode_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_no_rounding_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_trunc_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_einsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_einsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_equal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erfinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expm1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eye_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eye_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flip_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flip_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fliplr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flipud_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_floor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_frexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gather_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gather_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ge_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_geqrf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_geqrf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gradient_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_half_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_half_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_heaviside_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_igamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_imag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_inner_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_int_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isfinite_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isinf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isposinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isreal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isreal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_istft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_2inputs_2outputs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_2inputs_2outputs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_unary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kron_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ldexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_le_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lerp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cond_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cond_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_multi_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_slogdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_triangular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_triangular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svdvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svdvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorsolve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vander_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logaddexp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logcumsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_and_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_not_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_xor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_long_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_long_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_unpack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mH_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_pool2d_with_indices_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_list_of_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_variadic_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_variadic_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_movedim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nan_to_num_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanquantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nansum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ne_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nextafter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_binary_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_ctc_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_elu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_bag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_glu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_grid_sample_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_group_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardswish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_huber_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_area_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_kl_div_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_leaky_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_logsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mse_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu6_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_threshold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_upsample_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_fro_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_inf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_nuc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_number_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_outer_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_outer_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pca_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pinverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pinverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_4_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_positive_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rand_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randint_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randint_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ravel_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ravel_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reciprocal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_renorm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize_as__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_roll_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_roll_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rot90_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_neg_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scalar_tensor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scalar_tensor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_searchsorted_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sgn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signbit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sparse_sampled_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sparse_sampled_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_erfcx_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_hermite_polynomial_he_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i1e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_legendre_polynomial_p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_scaled_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_xlog1py_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_zeta_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_list_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_with_sizes_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_square_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_squeeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_symeig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapz_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triangular_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tril_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_true_divide_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_true_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unbind_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unflatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_uniform_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unique_consecutive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsqueeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zero__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___getitem___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___radd___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rdiv___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmod___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rpow___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__softmax_backward_data_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_arange_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ceil_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_max_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_min_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_floor_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_grid_sampler_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_imag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isneginf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_istft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kthvalue_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log1p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_multinomial_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nansum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_dropout_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nextafter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_celu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardswish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardtanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mse_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_selu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_silu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softplus_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rad2deg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_neg_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_searchsorted_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_kaiser_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signbit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_sampled_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_sampled_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_airy_ai_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_j1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_y0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i0e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i1e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_log_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_spherical_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_xlog1py_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_zeta_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_square_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_square_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sub_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_to_size_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_to_size_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_along_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensor_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensor_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tile_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_sparse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapz_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triangular_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tril_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_true_divide_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unbind_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unbind_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unflatten_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_uniform_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_uniform_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unique_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsqueeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_where_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_like_cuda_float64
2022-11-23T01:56:55.8837753Z 
2022-11-23T01:56:55.8838010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8838432Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_complex128 PASSED [  0%]
2022-11-23T01:56:55.8838847Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_complex128 PASSED [  0%]
2022-11-23T01:56:55.8839256Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_complex128 PASSED [  0%]
2022-11-23T01:56:55.8839677Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rdiv___cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8840072Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8840472Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmul___cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8841183Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rpow___cuda_complex128 SKIPPED (Skipped!) [  0%]
2022-11-23T01:56:55.8841606Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_complex128 PASSED [  0%]
2022-11-23T01:56:55.8841996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rsub___cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8842413Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad__softmax_backward_data_cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8842823Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_abs_cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8843256Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acos_cuda_complex128 PASSED [  0%]
2022-11-23T01:56:55.8843657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acosh_cuda_float64 PASSED [  0%]
2022-11-23T01:56:55.8844057Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_add_cuda_complex128 PASSED [  1%]
2022-11-23T01:56:55.8844458Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addbmm_cuda_complex128 PASSED [  1%]
2022-11-23T01:56:55.8844852Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcdiv_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8845254Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_complex128 PASSED [  1%]
2022-11-23T01:56:55.8845660Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcmul_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8846062Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_complex128 PASSED [  1%]
2022-11-23T01:56:55.8846450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8846867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_decomposed_cuda_complex128 PASSED [  1%]
2022-11-23T01:56:55.8847274Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmv_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8847668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addr_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8848348Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_all_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:56:55.8848958Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_allclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:56:55.8849411Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_amax_cuda_float64 PASSED [  1%]
2022-11-23T01:56:55.8849967Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_any_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:56:55.8850562Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_arange_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2022-11-23T01:56:55.8851154Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2022-11-23T01:56:55.8851823Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argwhere_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2022-11-23T01:56:55.8852331Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_scatter_cuda_float64 SKIPPED (Passes on complex128 and float64 only) [  2%]
2022-11-23T01:56:55.8852767Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asin_cuda_float64 PASSED [  2%]
2022-11-23T01:56:55.8853166Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atanh_cuda_complex128 PASSED [  2%]
2022-11-23T01:56:55.8853615Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_1d_cuda_float64 PASSED [  2%]
2022-11-23T01:56:55.8854025Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_2d_cuda_complex128 PASSED [  2%]
2022-11-23T01:56:55.8854421Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_complex128 PASSED [  2%]
2022-11-23T01:56:55.8854820Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_3d_cuda_float64 PASSED [  2%]
2022-11-23T01:56:55.8855227Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_complex128 PASSED [  2%]
2022-11-23T01:56:55.8855653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_baddbmm_cuda_float64 PASSED [  2%]
2022-11-23T01:56:55.8856044Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bernoulli_cuda_float64 PASSED [  2%]
2022-11-23T01:56:55.8856447Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bfloat16_cuda_float64 XFAIL [  2%]
2022-11-23T01:56:55.8856846Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_block_diag_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8857241Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bmm_cuda_complex128 PASSED [  3%]
2022-11-23T01:56:55.8857657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_complex128 PASSED [  3%]
2022-11-23T01:56:55.8858078Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_tensors_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8858657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bucketize_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:56:55.8859576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_byte_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:56:55.8860042Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cartesian_prod_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8860446Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdist_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8860939Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdouble_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8861335Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ceil_cuda_float64 PASSED [  3%]
2022-11-23T01:56:55.8861731Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cfloat_cuda_complex128 XFAIL [  3%]
2022-11-23T01:56:55.8862129Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chalf_cuda_float64 XFAIL [  3%]
2022-11-23T01:56:55.8862689Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:56:55.8863288Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_char_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:56:55.8863736Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_cuda_complex128 PASSED [  3%]
2022-11-23T01:56:55.8864150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_inverse_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8864568Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_solve_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8864969Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8865367Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chunk_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8865776Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_combinations_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8866299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_complex_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8866686Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8867092Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8867504Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_physical_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8867920Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_constant_pad_nd_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8868363Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8868768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_contiguous_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8869173Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_corrcoef_cuda_float64 PASSED [  4%]
2022-11-23T01:56:55.8869561Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_complex128 PASSED [  4%]
2022-11-23T01:56:55.8869951Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cos_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8870341Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_complex128 PASSED [  5%]
2022-11-23T01:56:55.8870841Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cosh_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8871417Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2022-11-23T01:56:55.8872145Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_count_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2022-11-23T01:56:55.8872705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cummin_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8873102Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumsum_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8873509Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_complex128 PASSED [  5%]
2022-11-23T01:56:55.8873935Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8874344Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_deg2rad_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8874744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_complex128 PASSED [  5%]
2022-11-23T01:56:55.8875127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8875527Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_complex128 PASSED [  5%]
2022-11-23T01:56:55.8875928Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagflat_cuda_float64 PASSED [  5%]
2022-11-23T01:56:55.8876335Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_copy_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8876730Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8877133Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_scatter_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8877536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diff_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8877934Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_digamma_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8878317Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dist_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8878769Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_floor_rounding_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8879195Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8879611Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_trunc_rounding_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8880017Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8880407Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dot_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8880840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8881228Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dstack_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8881629Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_complex128 PASSED [  6%]
2022-11-23T01:56:55.8882025Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_einsum_cuda_float64 PASSED [  6%]
2022-11-23T01:56:55.8882585Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eq_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2022-11-23T01:56:55.8883186Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_equal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2022-11-23T01:56:55.8883635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erf_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8884030Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erfinv_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8884418Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp2_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8884803Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp_cuda_complex128 PASSED [  7%]
2022-11-23T01:56:55.8885202Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_as_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8885596Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8885990Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8886382Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftn_cuda_complex128 PASSED [  7%]
2022-11-23T01:56:55.8886790Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft2_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8887191Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_complex128 PASSED [  7%]
2022-11-23T01:56:55.8887587Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft_cuda_float64 PASSED [  7%]
2022-11-23T01:56:55.8887992Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_complex128 PASSED [  7%]
2022-11-23T01:56:55.8888391Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft2_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8888789Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_complex128 PASSED [  8%]
2022-11-23T01:56:55.8889181Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifft_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8889581Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftshift_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8889988Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft2_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8890387Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfft_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8890815Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8891217Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_complex128 PASSED [  8%]
2022-11-23T01:56:55.8891617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfftn_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8892012Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfftn_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8892401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fill_cuda_complex128 PASSED [  8%]
2022-11-23T01:56:55.8892825Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flatten_cuda_complex128 PASSED [  8%]
2022-11-23T01:56:55.8893223Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flatten_cuda_float64 PASSED [  8%]
2022-11-23T01:56:55.8893614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flip_cuda_complex128 PASSED [  8%]
2022-11-23T01:56:55.8894011Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fliplr_cuda_complex128 PASSED [  9%]
2022-11-23T01:56:55.8894410Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flipud_cuda_complex128 PASSED [  9%]
2022-11-23T01:56:55.8894799Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_cuda_complex128 XFAIL [  9%]
2022-11-23T01:56:55.8895181Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_cuda_float64 XFAIL [  9%]
2022-11-23T01:56:55.8895582Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_power_cuda_complex128 PASSED [  9%]
2022-11-23T01:56:55.8895991Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_float_power_cuda_float64 PASSED [  9%]
2022-11-23T01:56:55.8896387Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_floor_cuda_float64 PASSED [  9%]
2022-11-23T01:56:55.8896949Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_floor_divide_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:56:55.8897399Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmin_cuda_float64 PASSED [  9%]
2022-11-23T01:56:55.8897786Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmod_cuda_float64 PASSED [  9%]
2022-11-23T01:56:55.8898168Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_frac_cuda_float64 PASSED [  9%]
2022-11-23T01:56:55.8898712Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:56:55.8899723Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ge_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:56:55.8900340Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_geqrf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:56:55.8900945Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_geqrf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:56:55.8901385Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gradient_cuda_complex128 PASSED [ 10%]
2022-11-23T01:56:55.8901789Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gradient_cuda_float64 PASSED [ 10%]
2022-11-23T01:56:55.8902191Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_grid_sampler_2d_cuda_float64 PASSED [ 10%]
2022-11-23T01:56:55.8902594Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_half_cuda_complex128 XFAIL [ 10%]
2022-11-23T01:56:55.8903255Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_heaviside_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:56:55.8903712Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hsplit_cuda_complex128 PASSED [ 10%]
2022-11-23T01:56:55.8904110Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_i0_cuda_float64 PASSED [ 10%]
2022-11-23T01:56:55.8904502Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_imag_cuda_complex128 PASSED [ 10%]
2022-11-23T01:56:55.8904896Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_add_cuda_complex128 PASSED [ 10%]
2022-11-23T01:56:55.8905299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_add_cuda_float64 PASSED [ 10%]
2022-11-23T01:56:55.8905733Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_reduce_cuda_float64 PASSED [ 10%]
2022-11-23T01:56:55.8906138Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_select_cuda_complex128 PASSED [ 10%]
2022-11-23T01:56:55.8906703Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isfinite_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:56:55.8907309Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isnan_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:56:55.8907915Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isreal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8908522Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isreal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8909148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8909808Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8910565Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8911196Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8911814Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_unary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8912272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kron_cuda_complex128 PASSED [ 11%]
2022-11-23T01:56:55.8912664Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kron_cuda_float64 PASSED [ 11%]
2022-11-23T01:56:55.8913061Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ldexp_cuda_complex128 PASSED [ 11%]
2022-11-23T01:56:55.8913603Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_le_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:56:55.8914043Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lerp_cuda_complex128 PASSED [ 11%]
2022-11-23T01:56:55.8914444Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cond_cuda_float64 PASSED [ 11%]
2022-11-23T01:56:55.8914850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cross_cuda_complex128 PASSED [ 11%]
2022-11-23T01:56:55.8915255Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cross_cuda_float64 PASSED [ 12%]
2022-11-23T01:56:55.8915661Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_cuda_complex128 PASSED [ 12%]
2022-11-23T01:56:55.8916193Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_singular_cuda_float64 SKIPPED (Skipped, see https://github.com//issues/84192) [ 12%]
2022-11-23T01:56:55.8916653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eig_cuda_float64 PASSED [ 12%]
2022-11-23T01:56:55.8917055Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvals_cuda_complex128 PASSED [ 12%]
2022-11-23T01:56:55.8917472Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cuda_complex128 PASSED [ 12%]
2022-11-23T01:56:55.8917886Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvalsh_cuda_float64 PASSED [ 12%]
2022-11-23T01:56:55.8918336Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_householder_product_cuda_float64 PASSED [ 12%]
2022-11-23T01:56:55.8918753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_ex_cuda_complex128 PASSED [ 12%]
2022-11-23T01:56:55.8919333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:56:55.8919967Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:56:55.8920446Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_cuda_complex128 SKIPPED (Skipped!) [ 12%]
2022-11-23T01:56:55.8920854Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_cuda_float64 PASSED [ 12%]
2022-11-23T01:56:55.8921269Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cuda_complex128 PASSED [ 12%]
2022-11-23T01:56:55.8921692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cuda_complex128 PASSED [ 13%]
2022-11-23T01:56:55.8922118Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_power_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8922688Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%]
2022-11-23T01:56:55.8923332Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%]
2022-11-23T01:56:55.8923810Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_cuda_complex128 PASSED [ 13%]
2022-11-23T01:56:55.8924241Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cuda_float64 XFAIL [ 13%]
2022-11-23T01:56:55.8924662Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_cuda_complex128 PASSED [ 13%]
2022-11-23T01:56:55.8925069Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8925498Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cuda_complex128 SKIPPED (Skipped!) [ 13%]
2022-11-23T01:56:55.8925925Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_slogdet_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8926324Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8926731Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_ex_cuda_complex128 PASSED [ 13%]
2022-11-23T01:56:55.8927146Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_ex_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8927565Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cuda_complex128 PASSED [ 13%]
2022-11-23T01:56:55.8928010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorinv_cuda_float64 PASSED [ 13%]
2022-11-23T01:56:55.8928433Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cuda_complex128 PASSED [ 14%]
2022-11-23T01:56:55.8928856Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorsolve_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8929270Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vander_cuda_complex128 PASSED [ 14%]
2022-11-23T01:56:55.8929673Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vander_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8930113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vector_norm_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8930685Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2022-11-23T01:56:55.8931306Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2022-11-23T01:56:55.8931743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log2_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8932157Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_with_dtype_cuda_complex128 PASSED [ 14%]
2022-11-23T01:56:55.8932585Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_with_dtype_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8933003Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logaddexp_cuda_float64 PASSED [ 14%]
2022-11-23T01:56:55.8933397Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logdet_cuda_complex128 PASSED [ 14%]
2022-11-23T01:56:55.8933960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_and_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2022-11-23T01:56:55.8934584Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_not_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2022-11-23T01:56:55.8935198Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_or_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:56:55.8935803Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_or_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:56:55.8936415Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_xor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:56:55.8936860Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logit_cuda_float64 PASSED [ 15%]
2022-11-23T01:56:55.8937418Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:56:55.8938005Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_long_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:56:55.8938448Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_cuda_complex128 PASSED [ 15%]
2022-11-23T01:56:55.8939067Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_cuda_float64 PASSED [ 15%]
2022-11-23T01:56:55.8939472Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_solve_cuda_complex128 PASSED [ 15%]
2022-11-23T01:56:55.8939864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_solve_cuda_float64 PASSED [ 15%]
2022-11-23T01:56:55.8940342Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_unpack_cuda_complex128 PASSED [ 15%]
2022-11-23T01:56:55.8940749Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mH_cuda_complex128 PASSED [ 15%]
2022-11-23T01:56:55.8941141Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mT_cuda_float64 PASSED [ 15%]
2022-11-23T01:56:55.8941530Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_amin_cuda_float64 PASSED [ 15%]
2022-11-23T01:56:55.8942101Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
2022-11-23T01:56:55.8942604Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumprod_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8943011Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumsum_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8943412Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_fill_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8943829Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_normalize_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8944248Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_normalize_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8944662Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_prod_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8945058Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_softmin_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8945455Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_sum_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8945865Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matrix_exp_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8946260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_binary_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8946664Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_maximum_cuda_float64 PASSED [ 16%]
2022-11-23T01:56:55.8947059Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mean_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8947473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cuda_complex128 PASSED [ 16%]
2022-11-23T01:56:55.8947897Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_list_of_tensors_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8948323Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_reduction_with_dim_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8948732Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mm_cuda_complex128 PASSED [ 17%]
2022-11-23T01:56:55.8949120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mode_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8949512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_movedim_cuda_complex128 PASSED [ 17%]
2022-11-23T01:56:55.8949910Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mul_cuda_complex128 PASSED [ 17%]
2022-11-23T01:56:55.8950302Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mv_cuda_complex128 PASSED [ 17%]
2022-11-23T01:56:55.8950813Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mv_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8951212Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_3_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8951632Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nan_to_num_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8952031Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanmean_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8952473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanmedian_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8953055Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_copy_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%]
2022-11-23T01:56:55.8953510Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_cuda_complex128 PASSED [ 17%]
2022-11-23T01:56:55.8953922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_batch_norm_cuda_float64 PASSED [ 17%]
2022-11-23T01:56:55.8954331Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_layer_norm_cuda_float64 PASSED [ 18%]
2022-11-23T01:56:55.8954930Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ne_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8955369Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_neg_cuda_float64 PASSED [ 18%]
2022-11-23T01:56:55.8955927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8956543Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_strided_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8957155Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8957755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8958363Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8958974Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8959570Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8960176Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2022-11-23T01:56:55.8960659Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional__scaled_dot_product_attention_cuda_float64 PASSED [ 18%]
2022-11-23T01:56:55.8961120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool2d_cuda_float64 PASSED [ 18%]
2022-11-23T01:56:55.8961561Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool2d_cuda_float64 PASSED [ 18%]
2022-11-23T01:56:55.8962010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool3d_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8962452Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_alpha_dropout_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8962883Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_batch_norm_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8963317Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_batch_norm_without_cudnn_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8963756Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_bilinear_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8964208Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_with_logits_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8964686Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cuda_complex128 PASSED [ 19%]
2022-11-23T01:56:55.8965104Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv2d_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8965548Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_cuda_complex128 PASSED [ 19%]
2022-11-23T01:56:55.8965991Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_cuda_complex128 PASSED [ 19%]
2022-11-23T01:56:55.8966434Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cosine_embedding_loss_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8966917Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cosine_similarity_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8967348Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout3d_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8967775Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_embedding_bag_cuda_float64 PASSED [ 19%]
2022-11-23T01:56:55.8968215Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_fractional_max_pool2d_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8968636Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_glu_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8969058Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_grid_sample_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8969484Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_group_norm_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8970004Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardshrink_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8970516Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardsigmoid_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8970957Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardswish_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8971388Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_huber_loss_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8971817Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_instance_norm_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8972251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_area_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8972702Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_nearest_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8973153Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_trilinear_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8973592Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_kl_div_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8974013Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_l1_loss_cuda_complex128 PASSED [ 20%]
2022-11-23T01:56:55.8974442Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_layer_norm_cuda_float64 PASSED [ 20%]
2022-11-23T01:56:55.8974860Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_linear_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8975283Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_logsigmoid_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8975706Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool1d_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8976133Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool2d_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8976604Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_pool3d_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8977042Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool1d_grad_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8977473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool2d_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8977910Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool3d_grad_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8978339Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_mish_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8979000Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multilabel_soft_margin_loss_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8979448Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_normalize_cuda_complex128 PASSED [ 21%]
2022-11-23T01:56:55.8979877Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_normalize_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8980311Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_circular_cuda_float64 PASSED [ 21%]
2022-11-23T01:56:55.8980752Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_constant_cuda_complex128 PASSED [ 21%]
2022-11-23T01:56:55.8981182Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_reflect_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8981627Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_replicate_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8982064Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_replicate_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8982509Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_shuffle_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8982938Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_unshuffle_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8983363Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_relu_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8983779Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_silu_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8984203Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_soft_margin_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8984638Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_with_dtype_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8985080Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_with_dtype_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8985516Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softplus_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8985942Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softsign_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8986367Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_tanhshrink_cuda_complex128 PASSED [ 22%]
2022-11-23T01:56:55.8986798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_threshold_cuda_float64 PASSED [ 22%]
2022-11-23T01:56:55.8987239Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8987708Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8988264Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_upsample_bilinear_cuda_float64 PASSED [ 23%]
2022-11-23T01:56:55.8988897Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%]
2022-11-23T01:56:55.8989498Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%]
2022-11-23T01:56:55.8989946Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8990335Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_fro_cuda_float64 PASSED [ 23%]
2022-11-23T01:56:55.8990949Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_inf_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8991476Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_nuc_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8991922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_normal_number_mean_cuda_float64 SKIPPED (Gradients are incorrect!) [ 23%]
2022-11-23T01:56:55.8992507Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 23%]
2022-11-23T01:56:55.8992954Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ormqr_cuda_float64 PASSED [ 23%]
2022-11-23T01:56:55.8993351Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_permute_cuda_float64 PASSED [ 23%]
2022-11-23T01:56:55.8993758Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pinverse_cuda_complex128 PASSED [ 23%]
2022-11-23T01:56:55.8994158Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pinverse_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8994560Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polar_cuda_float64 XFAIL [ 24%]
2022-11-23T01:56:55.8994977Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_0_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8995411Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_1_cuda_float64 SKIPPED (Skipped!) [ 24%]
2022-11-23T01:56:55.8995860Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_2_cuda_float64 SKIPPED (Skipped!) [ 24%]
2022-11-23T01:56:55.8996309Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_3_cuda_float64 SKIPPED (Skipped!) [ 24%]
2022-11-23T01:56:55.8996753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_polygamma_polygamma_n_4_cuda_float64 SKIPPED (Skipped!) [ 24%]
2022-11-23T01:56:55.8997162Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_positive_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8997567Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pow_cuda_complex128 PASSED [ 24%]
2022-11-23T01:56:55.8997964Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pow_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8998354Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_prod_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8998738Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_put_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.8999127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_qr_cuda_complex128 PASSED [ 24%]
2022-11-23T01:56:55.8999526Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_quantile_cuda_float64 PASSED [ 24%]
2022-11-23T01:56:55.9000089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%]
2022-11-23T01:56:55.9000747Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:56:55.9001207Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ravel_cuda_complex128 PASSED [ 25%]
2022-11-23T01:56:55.9001606Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_real_cuda_float64 PASSED [ 25%]
2022-11-23T01:56:55.9002008Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reciprocal_cuda_float64 PASSED [ 25%]
2022-11-23T01:56:55.9002404Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_remainder_cuda_float64 PASSED [ 25%]
2022-11-23T01:56:55.9002840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_cuda_complex128 PASSED [ 25%]
2022-11-23T01:56:55.9003255Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_interleave_cuda_complex128 PASSED [ 25%]
2022-11-23T01:56:55.9003840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:56:55.9004451Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize_as__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:56:55.9005067Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize_as__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:56:55.9005523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_conj_cuda_complex128 PASSED [ 25%]
2022-11-23T01:56:55.9005934Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_conj_cuda_float64 PASSED [ 25%]
2022-11-23T01:56:55.9006330Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_roll_cuda_float64 PASSED [ 25%]
2022-11-23T01:56:55.9006729Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rot90_cuda_complex128 PASSED [ 25%]
2022-11-23T01:56:55.9007140Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_0_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9007572Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_neg_3_cuda_float64 SKIPPED (Skipped!) [ 26%]
2022-11-23T01:56:55.9007986Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsqrt_cuda_complex128 PASSED [ 26%]
2022-11-23T01:56:55.9008383Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsqrt_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9008772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsub_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9009336Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scalar_tensor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 26%]
2022-11-23T01:56:55.9009788Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_add_cuda_complex128 PASSED [ 26%]
2022-11-23T01:56:55.9010203Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_cuda_complex128 PASSED [ 26%]
2022-11-23T01:56:55.9010608Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9011010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_amax_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9011447Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_prod_cuda_float64 XFAIL [ 26%]
2022-11-23T01:56:55.9012051Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_searchsorted_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 26%]
2022-11-23T01:56:55.9012525Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_segment_reduce_lengths_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9012983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_segment_reduce_offsets_cuda_float64 PASSED [ 26%]
2022-11-23T01:56:55.9013399Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9013801Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sgn_cuda_complex128 PASSED [ 27%]
2022-11-23T01:56:55.9014359Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_short_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:56:55.9014950Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_short_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:56:55.9015427Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sigmoid_cuda_complex128 PASSED [ 27%]
2022-11-23T01:56:55.9015830Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sign_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9016404Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_cosine_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:56:55.9017046Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_gaussian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:56:55.9017666Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_kaiser_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:56:55.9018123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sin_cuda_complex128 PASSED [ 27%]
2022-11-23T01:56:55.9018523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sin_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9019093Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinc_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9019484Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_cuda_complex128 PASSED [ 27%]
2022-11-23T01:56:55.9019890Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_scatter_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9020292Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_cuda_float64 PASSED [ 27%]
2022-11-23T01:56:55.9020714Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cuda_complex128 SKIPPED (Skipped!) [ 28%]
2022-11-23T01:56:55.9021307Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9021953Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9022627Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 28%]
2022-11-23T01:56:55.9023107Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_erfcx_cuda_float64 PASSED [ 28%]
2022-11-23T01:56:55.9023691Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_hermite_polynomial_h_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9024339Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_hermite_polynomial_he_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9024812Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i1_cuda_float64 PASSED [ 28%]
2022-11-23T01:56:55.9025399Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_laguerre_polynomial_l_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9025973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_log_ndtr_cuda_float64 PASSED [ 28%]
2022-11-23T01:56:55.9026562Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_i0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9027201Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_i1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:56:55.9027699Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_polygamma_special_polygamma_n_0_cuda_float64 PASSED [ 28%]
2022-11-23T01:56:55.9028367Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 28%]
2022-11-23T01:56:55.9029025Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_spherical_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 29%]
2022-11-23T01:56:55.9029493Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9029906Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_list_args_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9030320Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_list_args_cuda_float64 PASSED [ 29%]
2022-11-23T01:56:55.9030850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_with_sizes_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9031265Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sqrt_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9031687Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_square_cuda_float64 PASSED [ 29%]
2022-11-23T01:56:55.9032112Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stack_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9032505Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_cuda_float64 PASSED [ 29%]
2022-11-23T01:56:55.9032905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_mean_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9033296Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sub_cuda_float64 PASSED [ 29%]
2022-11-23T01:56:55.9033683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9034080Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_cuda_float64 PASSED [ 29%]
2022-11-23T01:56:55.9034479Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_to_size_cuda_complex128 PASSED [ 29%]
2022-11-23T01:56:55.9034885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sum_to_size_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9035268Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9035659Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_lowrank_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9036064Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_symeig_cuda_complex128 PASSED [ 30%]
2022-11-23T01:56:55.9036465Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_symeig_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9036858Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_along_dim_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9037260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9037657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tanh_cuda_complex128 PASSED [ 30%]
2022-11-23T01:56:55.9038091Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensor_split_cuda_complex128 PASSED [ 30%]
2022-11-23T01:56:55.9038502Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensor_split_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9038904Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensordot_cuda_complex128 PASSED [ 30%]
2022-11-23T01:56:55.9039309Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tensordot_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9039697Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tile_cuda_float64 PASSED [ 30%]
2022-11-23T01:56:55.9040293Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_sparse_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 30%]
2022-11-23T01:56:55.9040741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_topk_cuda_float64 PASSED [ 31%]
2022-11-23T01:56:55.9041138Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trace_cuda_float64 PASSED [ 31%]
2022-11-23T01:56:55.9041532Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_transpose_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9041939Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_transpose_cuda_float64 PASSED [ 31%]
2022-11-23T01:56:55.9042346Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapezoid_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9042763Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triangular_solve_cuda_complex128 XFAIL [ 31%]
2022-11-23T01:56:55.9043174Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triangular_solve_cuda_float64 XFAIL [ 31%]
2022-11-23T01:56:55.9043580Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triu_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9043979Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trunc_cuda_float64 PASSED [ 31%]
2022-11-23T01:56:55.9044376Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9044771Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unflatten_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9045177Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_copy_cuda_complex128 PASSED [ 31%]
2022-11-23T01:56:55.9045579Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_cuda_float64 PASSED [ 31%]
2022-11-23T01:56:55.9046136Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_uniform_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 31%]
2022-11-23T01:56:55.9046743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_uniform_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 31%]
2022-11-23T01:56:55.9047371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unique_consecutive_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 32%]
2022-11-23T01:56:55.9047984Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unique_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 32%]
2022-11-23T01:56:55.9048430Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unsqueeze_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9048822Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_cuda_complex128 PASSED [ 32%]
2022-11-23T01:56:55.9049221Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_mean_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9049618Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vdot_cuda_complex128 PASSED [ 32%]
2022-11-23T01:56:55.9050021Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_complex_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9050454Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_copy_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9050850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9051242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vstack_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9051630Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_where_cuda_complex128 PASSED [ 32%]
2022-11-23T01:56:55.9052027Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_xlogy_cuda_float64 PASSED [ 32%]
2022-11-23T01:56:55.9052638Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 32%]
2022-11-23T01:56:55.9053086Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_H_cuda_complex128 PASSED [ 32%]
2022-11-23T01:56:55.9053467Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_T_cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9053867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___getitem___cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9054272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___getitem___cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9054670Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rdiv___cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9055058Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rdiv___cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9055453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmod___cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9055838Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmul___cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9056236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rsub___cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9056642Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD__softmax_backward_data_cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9057050Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_abs_cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9057437Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acos_cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9057821Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acosh_cuda_complex128 PASSED [ 33%]
2022-11-23T01:56:55.9058209Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acosh_cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9058600Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_add_cuda_float64 PASSED [ 33%]
2022-11-23T01:56:55.9059189Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addbmm_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9059583Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcdiv_cuda_complex128 PASSED [ 34%]
2022-11-23T01:56:55.9059980Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmv_cuda_complex128 PASSED [ 34%]
2022-11-23T01:56:55.9060372Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmv_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9060760Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addr_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9061312Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_all_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 34%]
2022-11-23T01:56:55.9061913Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_all_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 34%]
2022-11-23T01:56:55.9062608Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_allclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 34%]
2022-11-23T01:56:55.9063057Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_amin_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9063599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_aminmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 34%]
2022-11-23T01:56:55.9064192Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_any_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 34%]
2022-11-23T01:56:55.9064644Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_scatter_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9065079Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asin_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9065461Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asinh_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9065859Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan2_cuda_float64 PASSED [ 34%]
2022-11-23T01:56:55.9066251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan_cuda_complex128 PASSED [ 35%]
2022-11-23T01:56:55.9066643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atan_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9067024Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atanh_cuda_complex128 PASSED [ 35%]
2022-11-23T01:56:55.9067417Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atanh_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9067811Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_1d_cuda_complex128 PASSED [ 35%]
2022-11-23T01:56:55.9068219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_1d_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9068611Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_3d_cuda_complex128 PASSED [ 35%]
2022-11-23T01:56:55.9069013Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_3d_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9069407Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_baddbmm_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9069795Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bernoulli_cuda_float64 XFAIL [ 35%]
2022-11-23T01:56:55.9070194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bfloat16_cuda_complex128 XFAIL [ 35%]
2022-11-23T01:56:55.9070715Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_block_diag_cuda_float64 PASSED [ 35%]
2022-11-23T01:56:55.9071110Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bmm_cuda_complex128 PASSED [ 35%]
2022-11-23T01:56:55.9071657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bool_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:56:55.9072116Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_tensors_cuda_complex128 PASSED [ 36%]
2022-11-23T01:56:55.9072535Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_tensors_cuda_float64 PASSED [ 36%]
2022-11-23T01:56:55.9072949Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_to_cuda_complex128 PASSED [ 36%]
2022-11-23T01:56:55.9073350Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_broadcast_to_cuda_float64 PASSED [ 36%]
2022-11-23T01:56:55.9073900Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_byte_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:56:55.9074359Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cartesian_prod_cuda_complex128 PASSED [ 36%]
2022-11-23T01:56:55.9074774Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cartesian_prod_cuda_float64 PASSED [ 36%]
2022-11-23T01:56:55.9075417Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cat_cuda_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 36%]
2022-11-23T01:56:55.9075898Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ceil_cuda_float64 PASSED [ 36%]
2022-11-23T01:56:55.9076289Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chalf_cuda_float64 XFAIL [ 36%]
2022-11-23T01:56:55.9076842Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_char_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:56:55.9077466Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_char_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:56:55.9077912Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_cuda_complex128 PASSED [ 36%]
2022-11-23T01:56:55.9078317Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_cuda_float64 PASSED [ 36%]
2022-11-23T01:56:55.9078724Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9079119Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chunk_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9079516Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_max_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9079918Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_min_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9080307Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clone_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9080702Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_column_stack_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9081114Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_combinations_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9081520Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9081919Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_constant_pad_nd_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9082333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_constant_pad_nd_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9082744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_contiguous_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9083150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_contiguous_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9083546Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_corrcoef_cuda_complex128 PASSED [ 37%]
2022-11-23T01:56:55.9083939Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cos_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9084332Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cosh_cuda_float64 PASSED [ 37%]
2022-11-23T01:56:55.9084903Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_count_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%]
2022-11-23T01:56:55.9085515Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_count_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 38%]
2022-11-23T01:56:55.9085964Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cross_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9086366Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumprod_cuda_complex128 PASSED [ 38%]
2022-11-23T01:56:55.9086769Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumprod_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9087161Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumsum_cuda_complex128 PASSED [ 38%]
2022-11-23T01:56:55.9087588Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumsum_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9087983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_deg2rad_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9088377Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9088764Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_embed_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9089165Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_copy_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9089602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_scatter_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9089994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diff_cuda_float64 PASSED [ 38%]
2022-11-23T01:56:55.9090390Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dist_cuda_complex128 PASSED [ 38%]
2022-11-23T01:56:55.9090798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_floor_rounding_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9091217Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_no_rounding_mode_cuda_complex128 PASSED [ 39%]
2022-11-23T01:56:55.9091631Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_no_rounding_mode_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9092048Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_div_trunc_rounding_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9092453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dot_cuda_complex128 PASSED [ 39%]
2022-11-23T01:56:55.9092845Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dsplit_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9093233Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dstack_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9093630Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_einsum_cuda_complex128 PASSED [ 39%]
2022-11-23T01:56:55.9094026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_einsum_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9094588Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%]
2022-11-23T01:56:55.9095194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%]
2022-11-23T01:56:55.9095809Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eq_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%]
2022-11-23T01:56:55.9096406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_equal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 39%]
2022-11-23T01:56:55.9096845Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erf_cuda_float64 PASSED [ 39%]
2022-11-23T01:56:55.9097229Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erfinv_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9097619Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp2_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9098011Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_as_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9098406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9098789Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expm1_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9100456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eye_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:56:55.9101766Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eye_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:56:55.9102242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft_cuda_complex128 PASSED [ 40%]
2022-11-23T01:56:55.9102659Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftshift_cuda_complex128 PASSED [ 40%]
2022-11-23T01:56:55.9103082Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft2_cuda_complex128 PASSED [ 40%]
2022-11-23T01:56:55.9103497Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft2_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9103960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft_cuda_complex128 PASSED [ 40%]
2022-11-23T01:56:55.9104353Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft2_cuda_float64 PASSED [ 40%]
2022-11-23T01:56:55.9104765Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftn_cuda_complex128 PASSED [ 40%]
2022-11-23T01:56:55.9105175Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9105580Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftshift_cuda_complex128 PASSED [ 41%]
2022-11-23T01:56:55.9105993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfft2_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9106395Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfft_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9106806Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft2_cuda_complex128 PASSED [ 41%]
2022-11-23T01:56:55.9107200Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9107597Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9107994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfft2_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9108388Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9108772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fill_cuda_complex128 PASSED [ 41%]
2022-11-23T01:56:55.9109181Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flatten_cuda_complex128 PASSED [ 41%]
2022-11-23T01:56:55.9109588Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flatten_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9109990Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flip_cuda_complex128 PASSED [ 41%]
2022-11-23T01:56:55.9110464Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flip_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9110869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fliplr_cuda_float64 PASSED [ 41%]
2022-11-23T01:56:55.9111303Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flipud_cuda_complex128 PASSED [ 42%]
2022-11-23T01:56:55.9111690Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_cuda_complex128 XFAIL [ 42%]
2022-11-23T01:56:55.9112088Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_power_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9112486Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_floor_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9112873Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmax_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9113250Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmod_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9113672Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_frexp_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9114226Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:56:55.9114841Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:56:55.9115285Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gather_cuda_complex128 PASSED [ 42%]
2022-11-23T01:56:55.9115680Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gather_cuda_float64 PASSED [ 42%]
2022-11-23T01:56:55.9116257Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ge_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:56:55.9116858Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_geqrf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:56:55.9117445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_geqrf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:56:55.9117897Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gradient_cuda_float64 PASSED [ 43%]
2022-11-23T01:56:55.9118445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:56:55.9118880Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_half_cuda_complex128 XFAIL [ 43%]
2022-11-23T01:56:55.9119267Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_half_cuda_float64 XFAIL [ 43%]
2022-11-23T01:56:55.9119816Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_heaviside_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:56:55.9120266Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hsplit_cuda_float64 PASSED [ 43%]
2022-11-23T01:56:55.9120651Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_i0_cuda_float64 PASSED [ 43%]
2022-11-23T01:56:55.9121233Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_igamma_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:56:55.9121675Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_imag_cuda_complex128 PASSED [ 43%]
2022-11-23T01:56:55.9122081Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_copy_cuda_complex128 PASSED [ 43%]
2022-11-23T01:56:55.9122486Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_fill_cuda_complex128 PASSED [ 43%]
2022-11-23T01:56:55.9122879Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_fill_cuda_float64 PASSED [ 43%]
2022-11-23T01:56:55.9123288Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_put_cuda_complex128 PASSED [ 43%]
2022-11-23T01:56:55.9123687Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_put_cuda_float64 PASSED [ 43%]
2022-11-23T01:56:55.9124089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_select_cuda_float64 PASSED [ 44%]
2022-11-23T01:56:55.9124479Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_inner_cuda_complex128 PASSED [ 44%]
2022-11-23T01:56:55.9125027Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_int_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9125634Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isfinite_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9126251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9126844Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isinf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9127432Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isposinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9128035Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isreal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9128659Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isreal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9129094Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_istft_cuda_complex128 PASSED [ 44%]
2022-11-23T01:56:55.9129679Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_2inputs_2outputs_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9130323Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_2inputs_2outputs_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9130975Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9131659Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9132277Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_unary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:56:55.9132732Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kron_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9133127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ldexp_cuda_complex128 PASSED [ 45%]
2022-11-23T01:56:55.9133668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_le_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2022-11-23T01:56:55.9134102Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lerp_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9134506Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cond_cuda_complex128 PASSED [ 45%]
2022-11-23T01:56:55.9134918Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cond_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9135330Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_singular_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9135735Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eig_cuda_complex128 PASSED [ 45%]
2022-11-23T01:56:55.9136144Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigh_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9136556Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvals_cuda_complex128 PASSED [ 45%]
2022-11-23T01:56:55.9136951Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_ex_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9137531Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2022-11-23T01:56:55.9138173Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_ex_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2022-11-23T01:56:55.9138656Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_float64 PASSED [ 45%]
2022-11-23T01:56:55.9139262Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9139658Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_cuda_float64 PASSED [ 46%]
2022-11-23T01:56:55.9140070Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_ex_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9140496Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_norm_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9141131Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2022-11-23T01:56:55.9141629Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_multi_dot_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9142041Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9142444Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_qr_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9142844Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_slogdet_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9143252Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9143661Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_ex_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9144074Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_ex_cuda_float64 PASSED [ 46%]
2022-11-23T01:56:55.9144485Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_triangular_cuda_complex128 PASSED [ 46%]
2022-11-23T01:56:55.9144915Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_triangular_cuda_float64 PASSED [ 46%]
2022-11-23T01:56:55.9145333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svdvals_cuda_complex128 PASSED [ 47%]
2022-11-23T01:56:55.9145744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svdvals_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9146147Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorinv_cuda_complex128 PASSED [ 47%]
2022-11-23T01:56:55.9146564Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorsolve_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9146973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vander_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9147364Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log2_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9147745Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_cuda_complex128 PASSED [ 47%]
2022-11-23T01:56:55.9148146Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9148561Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_with_dtype_cuda_complex128 PASSED [ 47%]
2022-11-23T01:56:55.9148983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_softmax_with_dtype_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9149386Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logaddexp2_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9149785Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logaddexp_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9150190Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logcumsumexp_cuda_float64 PASSED [ 47%]
2022-11-23T01:56:55.9150682Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logdet_cuda_complex128 PASSED [ 47%]
2022-11-23T01:56:55.9151107Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logdet_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9151676Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_and_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9152287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_not_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9152890Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_xor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9153354Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logit_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9153753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logsumexp_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9154308Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_long_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9154902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_long_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9155483Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9155919Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_cuda_complex128 PASSED [ 48%]
2022-11-23T01:56:55.9156324Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_solve_cuda_complex128 PASSED [ 48%]
2022-11-23T01:56:55.9156726Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_unpack_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9157107Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mH_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9157662Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:56:55.9158119Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumprod_cuda_float64 PASSED [ 48%]
2022-11-23T01:56:55.9158522Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumsum_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9158928Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_fill_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9159337Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_log_softmax_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9159751Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_logaddexp_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9160151Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_logsumexp_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9160557Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_mean_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9160959Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_norm_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9161368Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_normalize_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9161771Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_normalize_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9162173Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_prod_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9162578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_prod_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9162979Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_scatter_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9163405Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_std_cuda_complex128 PASSED [ 49%]
2022-11-23T01:56:55.9163807Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_std_cuda_float64 PASSED [ 49%]
2022-11-23T01:56:55.9164205Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_sum_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9164599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_var_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9164987Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matmul_cuda_complex128 PASSED [ 50%]
2022-11-23T01:56:55.9165411Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matmul_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9165836Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_pool2d_with_indices_backward_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9166261Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_reduction_no_dim_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9166668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mean_cuda_complex128 PASSED [ 50%]
2022-11-23T01:56:55.9167062Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mean_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9167450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_median_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9167856Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_list_of_tensors_cuda_complex128 PASSED [ 50%]
2022-11-23T01:56:55.9168292Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_variadic_tensors_cuda_complex128 PASSED [ 50%]
2022-11-23T01:56:55.9168722Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_variadic_tensors_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9169146Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_reduction_no_dim_cuda_float64 PASSED [ 50%]
2022-11-23T01:56:55.9169539Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mm_cuda_complex128 PASSED [ 50%]
2022-11-23T01:56:55.9169930Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mm_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9170316Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_movedim_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9170709Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mul_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9171140Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mv_cuda_complex128 PASSED [ 51%]
2022-11-23T01:56:55.9171549Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_3_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9171958Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nan_to_num_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9172360Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanquantile_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9172748Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nansum_cuda_float64 PASSED [ 51%]
2022-11-23T01:56:55.9173313Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_copy_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:56:55.9173927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_copy_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:56:55.9174399Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_batch_norm_cuda_float64 SKIPPED (Skipped!) [ 51%]
2022-11-23T01:56:55.9174949Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ne_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:56:55.9175414Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_neg_cuda_complex128 PASSED [ 51%]
2022-11-23T01:56:55.9175966Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:56:55.9176582Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_strided_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:56:55.9177189Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:56:55.9177828Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:56:55.9178419Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:56:55.9179132Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nextafter_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:56:55.9179606Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9180051Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9180485Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool3d_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9180928Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_batch_norm_without_cudnn_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9181356Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_bilinear_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9181798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_binary_cross_entropy_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9182253Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9182695Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv2d_cuda_complex128 PASSED [ 52%]
2022-11-23T01:56:55.9183108Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv2d_cuda_float64 PASSED [ 52%]
2022-11-23T01:56:55.9183540Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose1d_cuda_complex128 PASSED [ 52%]
2022-11-23T01:56:55.9183978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose1d_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9184419Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose2d_cuda_complex128 PASSED [ 53%]
2022-11-23T01:56:55.9184849Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose2d_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9185281Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cross_entropy_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9185706Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_ctc_loss_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9186124Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_elu_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9186540Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_bag_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9186964Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_embedding_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9187449Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64 XFAIL [ 53%]
2022-11-23T01:56:55.9187923Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 PASSED [ 53%]
2022-11-23T01:56:55.9188378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9188807Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gelu_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9189247Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_glu_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9189665Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_grid_sample_cuda_float64 PASSED [ 53%]
2022-11-23T01:56:55.9190088Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_group_norm_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9190595Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardshrink_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9191047Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardswish_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9191483Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9191905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_huber_loss_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9192338Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_area_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9192778Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9193224Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9193660Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9194106Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9194533Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_kl_div_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9194945Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9195357Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_layer_norm_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9195777Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_leaky_relu_cuda_float64 PASSED [ 54%]
2022-11-23T01:56:55.9196201Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_logsigmoid_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9196637Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9197059Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool1d_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9197474Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool2d_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9197913Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64 SKIPPED (Skipped!) [ 55%]
2022-11-23T01:56:55.9198349Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64 XFAIL [ 55%]
2022-11-23T01:56:55.9198806Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9199240Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9199668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mse_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9200100Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9200527Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_complex128 PASSED [ 55%]
2022-11-23T01:56:55.9201000Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9201454Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_complex128 PASSED [ 55%]
2022-11-23T01:56:55.9201893Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128 PASSED [ 55%]
2022-11-23T01:56:55.9202318Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_replicate_cuda_float64 PASSED [ 55%]
2022-11-23T01:56:55.9202756Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9203180Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pdist_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9203608Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128 PASSED [ 56%]
2022-11-23T01:56:55.9204028Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu6_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9204445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9204864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softshrink_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9205287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_complex128 PASSED [ 56%]
2022-11-23T01:56:55.9205703Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softsign_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9206123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_threshold_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9221949Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 PASSED [ 56%]
2022-11-23T01:56:55.9222425Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9222885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_upsample_nearest_cuda_float64 PASSED [ 56%]
2022-11-23T01:56:55.9223308Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_cuda_complex128 PASSED [ 56%]
2022-11-23T01:56:55.9223705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_fro_cuda_complex128 PASSED [ 56%]
2022-11-23T01:56:55.9224108Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_inf_cuda_complex128 PASSED [ 57%]
2022-11-23T01:56:55.9224498Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_nuc_cuda_complex128 PASSED [ 57%]
2022-11-23T01:56:55.9224922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_number_mean_cuda_float64 SKIPPED (Gradients are incorrect!) [ 57%]
2022-11-23T01:56:55.9225533Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%]
2022-11-23T01:56:55.9226054Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_outer_cuda_complex128 PASSED [ 57%]
2022-11-23T01:56:55.9226454Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_outer_cuda_float64 PASSED [ 57%]
2022-11-23T01:56:55.9226840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pca_lowrank_cuda_float64 PASSED [ 57%]
2022-11-23T01:56:55.9227242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_cuda_complex128 PASSED [ 57%]
2022-11-23T01:56:55.9227637Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_cuda_float64 PASSED [ 57%]
2022-11-23T01:56:55.9228067Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pinverse_cuda_complex128 PASSED [ 57%]
2022-11-23T01:56:55.9228453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pinverse_cuda_float64 PASSED [ 57%]
2022-11-23T01:56:55.9228866Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_0_cuda_float64 PASSED [ 57%]
2022-11-23T01:56:55.9229300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_2_cuda_float64 SKIPPED (Skipped!) [ 57%]
2022-11-23T01:56:55.9229739Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_3_cuda_float64 SKIPPED (Skipped!) [ 57%]
2022-11-23T01:56:55.9230168Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_4_cuda_float64 SKIPPED (Skipped!) [ 58%]
2022-11-23T01:56:55.9230695Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_positive_cuda_complex128 PASSED [ 58%]
2022-11-23T01:56:55.9231117Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pow_cuda_float64 PASSED [ 58%]
2022-11-23T01:56:55.9231507Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_prod_cuda_complex128 PASSED [ 58%]
2022-11-23T01:56:55.9231893Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_prod_cuda_float64 PASSED [ 58%]
2022-11-23T01:56:55.9232284Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_put_cuda_float64 PASSED [ 58%]
2022-11-23T01:56:55.9232664Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_qr_cuda_float64 PASSED [ 58%]
2022-11-23T01:56:55.9233210Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rand_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:56:55.9233812Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randint_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:56:55.9234421Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randint_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:56:55.9235038Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:56:55.9235487Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ravel_cuda_complex128 PASSED [ 58%]
2022-11-23T01:56:55.9235870Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ravel_cuda_float64 PASSED [ 58%]
2022-11-23T01:56:55.9236271Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reciprocal_cuda_complex128 PASSED [ 58%]
2022-11-23T01:56:55.9236678Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_renorm_cuda_complex128 PASSED [ 58%]
2022-11-23T01:56:55.9237076Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9237464Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_cuda_complex128 PASSED [ 59%]
2022-11-23T01:56:55.9237860Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9238453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%]
2022-11-23T01:56:55.9239049Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%]
2022-11-23T01:56:55.9239652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize_as__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%]
2022-11-23T01:56:55.9240104Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_conj_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9240529Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_roll_cuda_complex128 PASSED [ 59%]
2022-11-23T01:56:55.9240914Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_roll_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9241330Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rot90_cuda_complex128 PASSED [ 59%]
2022-11-23T01:56:55.9241754Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_0_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9242175Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_neg_3_cuda_float64 SKIPPED (Skipped!) [ 59%]
2022-11-23T01:56:55.9242578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsqrt_cuda_float64 PASSED [ 59%]
2022-11-23T01:56:55.9242973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsub_cuda_complex128 PASSED [ 59%]
2022-11-23T01:56:55.9243366Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsub_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9243927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scalar_tensor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2022-11-23T01:56:55.9244538Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scalar_tensor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2022-11-23T01:56:55.9244992Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_add_cuda_complex128 PASSED [ 60%]
2022-11-23T01:56:55.9245396Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_add_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9245793Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9246345Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_searchsorted_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2022-11-23T01:56:55.9246800Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_cuda_complex128 PASSED [ 60%]
2022-11-23T01:56:55.9247204Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_scatter_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9247602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sgn_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9247982Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sigmoid_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9248553Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_cosine_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2022-11-23T01:56:55.9249163Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signbit_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2022-11-23T01:56:55.9249606Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sin_cuda_float64 PASSED [ 60%]
2022-11-23T01:56:55.9249996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_scatter_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9250423Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9250831Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_with_dtype_cuda_complex128 PASSED [ 61%]
2022-11-23T01:56:55.9251276Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sort_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9251698Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sparse_sampled_addmm_cuda_complex128 SKIPPED (Skipped!) [ 61%]
2022-11-23T01:56:55.9252142Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sparse_sampled_addmm_cuda_float64 SKIPPED (Skipped!) [ 61%]
2022-11-23T01:56:55.9252755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:56:55.9253420Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%]
2022-11-23T01:56:55.9253890Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_erfcx_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9254477Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_hermite_polynomial_he_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:56:55.9254946Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i1_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9255345Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i1e_cuda_float64 PASSED [ 61%]
2022-11-23T01:56:55.9255932Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_legendre_polynomial_p_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 61%]
2022-11-23T01:56:55.9256595Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_i0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:56:55.9257236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:56:55.9257707Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_ndtr_cuda_float64 PASSED [ 62%]
2022-11-23T01:56:55.9258129Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_polygamma_special_polygamma_n_0_cuda_float64 PASSED [ 62%]
2022-11-23T01:56:55.9258746Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_scaled_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:56:55.9259535Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 62%]
2022-11-23T01:56:55.9260218Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 62%]
2022-11-23T01:56:55.9260698Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_xlog1py_cuda_float64 PASSED [ 62%]
2022-11-23T01:56:55.9261260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_zeta_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:56:55.9261758Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_cuda_float64 PASSED [ 62%]
2022-11-23T01:56:55.9262166Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_list_args_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9262584Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_with_sizes_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9263037Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sqrt_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9263435Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_square_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9263835Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_squeeze_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9264231Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_complex128 PASSED [ 62%]
2022-11-23T01:56:55.9264614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stack_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9265035Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9265429Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9265819Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9266208Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9266593Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9266993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9267389Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_to_size_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9267784Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9268177Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9268567Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_svd_lowrank_cuda_float64 PASSED [ 63%]
2022-11-23T01:56:55.9268960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_symeig_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9269351Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9269743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_complex128 PASSED [ 63%]
2022-11-23T01:56:55.9270139Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9270634Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9271054Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensordot_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9271445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9271822Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9272225Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9272668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapezoid_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9273173Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapz_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9273574Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triangular_solve_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9273978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tril_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9274381Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_true_divide_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9274782Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_true_divide_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9275206Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unbind_cuda_float64 PASSED [ 64%]
2022-11-23T01:56:55.9275602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unflatten_cuda_complex128 PASSED [ 64%]
2022-11-23T01:56:55.9276005Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_copy_cuda_complex128 PASSED [ 65%]
2022-11-23T01:56:55.9276578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_uniform_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2022-11-23T01:56:55.9277192Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unique_consecutive_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2022-11-23T01:56:55.9277679Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsqueeze_cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9278073Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9278463Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9278850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_complex128 PASSED [ 65%]
2022-11-23T01:56:55.9279240Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vdot_cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9279633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_cuda_complex128 PASSED [ 65%]
2022-11-23T01:56:55.9280013Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9280396Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zero__cuda_float64 PASSED [ 65%]
2022-11-23T01:56:55.9280953Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2022-11-23T01:56:55.9281481Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___getitem___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%]
2022-11-23T01:56:55.9282007Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___radd___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%]
2022-11-23T01:56:55.9282514Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rdiv___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 65%]
2022-11-23T01:56:55.9283030Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmod___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%]
2022-11-23T01:56:55.9283548Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmul___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%]
2022-11-23T01:56:55.9284069Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmul___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%]
2022-11-23T01:56:55.9284532Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rpow___cuda_float64 SKIPPED (Skipped!) [ 66%]
2022-11-23T01:56:55.9285023Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD__softmax_backward_data_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 66%]
2022-11-23T01:56:55.9285497Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_float64 PASSED [ 66%]
2022-11-23T01:56:55.9285910Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_complex128 PASSED [ 66%]
2022-11-23T01:56:55.9286309Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_add_cuda_float64 PASSED [ 66%]
2022-11-23T01:56:55.9286751Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_complex128 PASSED [ 66%]
2022-11-23T01:56:55.9287169Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcdiv_cuda_float64 PASSED [ 66%]
2022-11-23T01:56:55.9287583Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_complex128 PASSED [ 66%]
2022-11-23T01:56:55.9287985Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_complex128 PASSED [ 66%]
2022-11-23T01:56:55.9288398Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_complex128 PASSED [ 66%]
2022-11-23T01:56:55.9288818Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmv_cuda_float64 PASSED [ 66%]
2022-11-23T01:56:55.9289220Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_float64 PASSED [ 67%]
2022-11-23T01:56:55.9289790Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9290401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_all_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9291013Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9291573Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:56:55.9292090Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:56:55.9292714Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9293318Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_arange_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9293943Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9294566Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argwhere_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:56:55.9295093Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:56:55.9295573Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_complex128 PASSED [ 67%]
2022-11-23T01:56:55.9295976Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asin_cuda_float64 PASSED [ 67%]
2022-11-23T01:56:55.9296434Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:56:55.9296887Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan2_cuda_float64 PASSED [ 68%]
2022-11-23T01:56:55.9297283Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_complex128 PASSED [ 68%]
2022-11-23T01:56:55.9297686Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atan_cuda_float64 PASSED [ 68%]
2022-11-23T01:56:55.9298147Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9298699Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9299355Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9299867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9300333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_float64 PASSED [ 68%]
2022-11-23T01:56:55.9300858Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9301431Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bfloat16_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9301942Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9302572Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2022-11-23T01:56:55.9303100Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9303643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_tensors_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9304176Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:56:55.9304705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9305236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cartesian_prod_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9305755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdist_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9306272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9306727Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ceil_cuda_float64 PASSED [ 69%]
2022-11-23T01:56:55.9307194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9307709Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9308222Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9308738Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9309257Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9309830Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9310438Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:56:55.9310929Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_cuda_float64 PASSED [ 69%]
2022-11-23T01:56:55.9311331Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_max_cuda_float64 PASSED [ 69%]
2022-11-23T01:56:55.9311770Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clamp_min_cuda_float64 PASSED [ 70%]
2022-11-23T01:56:55.9312236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9312763Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9313281Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_column_stack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9313806Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9314330Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9314861Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_constant_pad_nd_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9315391Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9315907Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9316423Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_corrcoef_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:56:55.9316883Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_complex128 PASSED [ 70%]
2022-11-23T01:56:55.9317290Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cos_cuda_float64 PASSED [ 70%]
2022-11-23T01:56:55.9317694Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_complex128 PASSED [ 70%]
2022-11-23T01:56:55.9318281Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2022-11-23T01:56:55.9318536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9318787Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9319038Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9319286Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cummin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9319545Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_complex128 PASSED [ 71%]
2022-11-23T01:56:55.9319747Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_complex128 PASSED [ 71%]
2022-11-23T01:56:55.9319998Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9320249Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9320528Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9320787Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9321045Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9321321Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diff_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9321598Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:56:55.9321810Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_floor_rounding_cuda_float64 PASSED [ 71%]
2022-11-23T01:56:55.9322059Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9322316Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9322564Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dstack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9322937Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%]
2022-11-23T01:56:55.9323286Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%]
2022-11-23T01:56:55.9323635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%]
2022-11-23T01:56:55.9323984Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_equal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%]
2022-11-23T01:56:55.9324182Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erf_cuda_float64 PASSED [ 72%]
2022-11-23T01:56:55.9324378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfc_cuda_float64 PASSED [ 72%]
2022-11-23T01:56:55.9324576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp2_cuda_float64 PASSED [ 72%]
2022-11-23T01:56:55.9324775Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_complex128 PASSED [ 72%]
2022-11-23T01:56:55.9325036Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9325320Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_as_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9325578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9325834Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:56:55.9326093Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9326363Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9326626Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9326885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9327140Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9327395Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9327652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9327907Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9328161Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9328423Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9328683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftshift_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9328942Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9329193Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9329457Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:56:55.9329705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9329960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9330219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9330470Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9330692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_float64 PASSED [ 74%]
2022-11-23T01:56:55.9330947Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9331239Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9331505Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9331782Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9332037Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:56:55.9332246Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_complex128 PASSED [ 74%]
2022-11-23T01:56:55.9332450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_power_cuda_float64 PASSED [ 74%]
2022-11-23T01:56:55.9332638Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_cuda_float64 PASSED [ 74%]
2022-11-23T01:56:55.9333004Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_floor_divide_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:56:55.9333202Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmod_cuda_float64 PASSED [ 75%]
2022-11-23T01:56:55.9333456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9333813Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2022-11-23T01:56:55.9334168Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2022-11-23T01:56:55.9334424Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9334681Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gather_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9335039Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2022-11-23T01:56:55.9335300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9335560Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_grid_sampler_2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9335813Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9336160Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igamma_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2022-11-23T01:56:55.9336440Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_imag_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:56:55.9336646Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_complex128 PASSED [ 75%]
2022-11-23T01:56:55.9336849Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_add_cuda_float64 PASSED [ 75%]
2022-11-23T01:56:55.9337054Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_cuda_float64 PASSED [ 75%]
2022-11-23T01:56:55.9337313Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:56:55.9337588Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:56:55.9337841Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_inner_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:56:55.9338195Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9338543Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_int_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9338998Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9339366Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9339715Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isfinite_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9340070Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9340419Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9340770Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isneginf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9341124Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9341482Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isreal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:56:55.9341741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_istft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:56:55.9342130Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9342513Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_2inputs_2outputs_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9342903Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9343279Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9343684Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9344072Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9344433Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9344825Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_unary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:56:55.9345081Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9345331Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kron_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9345584Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_kthvalue_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9345834Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9346098Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9346360Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:56:55.9346633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_singular_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9346897Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_singular_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9347158Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9347415Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eig_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9347683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9347932Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9348191Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9348455Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9348716Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvalsh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9348996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9349256Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:56:55.9349635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:56:55.9350005Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:56:55.9350256Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_complex128 SKIPPED (Skipped!) [ 78%]
2022-11-23T01:56:55.9350604Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9350884Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9351153Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9351523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2022-11-23T01:56:55.9351777Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9352037Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9352300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9352571Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9352840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_hermitian_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9353113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 79%]
2022-11-23T01:56:55.9353373Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9353627Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_qr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9353885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9354151Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9354414Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_ex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:56:55.9354709Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9354968Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svdvals_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9355230Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9355482Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9355768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9356034Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9356405Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2022-11-23T01:56:55.9356602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_float64 PASSED [ 80%]
2022-11-23T01:56:55.9356799Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log1p_cuda_float64 PASSED [ 80%]
2022-11-23T01:56:55.9356993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_float64 PASSED [ 80%]
2022-11-23T01:56:55.9357194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_complex128 PASSED [ 80%]
2022-11-23T01:56:55.9357453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9357715Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9357973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logaddexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:56:55.9358220Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:56:55.9358477Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logdet_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:56:55.9358837Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9359203Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9359558Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_not_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9359918Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9360281Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_or_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9360640Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9361024Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_xor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9361226Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logit_cuda_float64 PASSED [ 81%]
2022-11-23T01:56:55.9361614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9361976Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_long_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9362336Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2022-11-23T01:56:55.9362592Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:56:55.9362840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9363097Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9363354Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_solve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9363614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9363869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9364120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9364376Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9364743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2022-11-23T01:56:55.9365014Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9365276Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumprod_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9365486Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_complex128 PASSED [ 82%]
2022-11-23T01:56:55.9365681Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_fill_cuda_float64 PASSED [ 82%]
2022-11-23T01:56:55.9365946Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_log_softmax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9366213Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logaddexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9366479Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:56:55.9366772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9367033Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9367246Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_complex128 PASSED [ 83%]
2022-11-23T01:56:55.9367453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_scatter_cuda_float64 PASSED [ 83%]
2022-11-23T01:56:55.9367740Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9368002Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_select_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9368261Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9368520Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9368769Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9369027Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9369285Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9369536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_binary_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9369815Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9370082Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_no_dim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:56:55.9370352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_max_reduction_with_dim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9370605Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9370859Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_median_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9371134Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9371405Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9371683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9371961Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mode_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9372213Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9372411Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_float64 PASSED [ 84%]
2022-11-23T01:56:55.9372770Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_multinomial_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2022-11-23T01:56:55.9373049Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9373299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mv_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9373618Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nansum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:56:55.9374040Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2022-11-23T01:56:55.9374402Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_copy_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9374660Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:56:55.9374922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_narrow_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:56:55.9375196Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_dropout_backward_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:56:55.9375550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9375744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_complex128 PASSED [ 85%]
2022-11-23T01:56:55.9375941Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_neg_cuda_float64 PASSED [ 85%]
2022-11-23T01:56:55.9376319Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9376689Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_strided_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9377045Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9377404Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9377761Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nextafter_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:56:55.9378046Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:56:55.9378361Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:56:55.9378634Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9379017Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9379287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_bilinear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9379611Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9379901Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9380105Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_celu_cuda_float64 PASSED [ 86%]
2022-11-23T01:56:55.9380371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9380635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9380905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9381182Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9381457Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9381736Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9382014Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9382288Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:56:55.9382504Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout3d_cuda_float64 PASSED [ 86%]
2022-11-23T01:56:55.9382775Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9383009Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cuda_float64 XFAIL [ 87%]
2022-11-23T01:56:55.9383247Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64 PASSED [ 87%]
2022-11-23T01:56:55.9383523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9383826Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9384097Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardshrink_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9384315Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64 PASSED [ 87%]
2022-11-23T01:56:55.9384582Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardswish_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9384869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hardtanh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9385150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9385423Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9385696Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9385965Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9386230Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_layer_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:56:55.9386494Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9386770Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9387043Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9387303Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9387568Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9387844Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9388117Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9388325Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mish_cuda_float64 PASSED [ 88%]
2022-11-23T01:56:55.9388590Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_mse_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9388882Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9389153Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9389427Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9389692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_circular_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9389999Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:56:55.9390272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9390625Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9390902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9391171Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9391450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9391719Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9391992Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9392259Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9392472Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_selu_cuda_float64 PASSED [ 89%]
2022-11-23T01:56:55.9392675Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_silu_cuda_float64 PASSED [ 89%]
2022-11-23T01:56:55.9392945Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9393206Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9393477Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9393742Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softplus_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9394032Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:56:55.9394300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9394575Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9394844Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9395157Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9395444Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9395705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9395977Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9396253Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9396623Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2022-11-23T01:56:55.9396976Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2022-11-23T01:56:55.9397225Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9397473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9397727Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9397980Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:56:55.9398227Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9398471Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_nuc_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9398696Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_cuda_float64 SKIPPED (Gradients are incorrect!) [ 91%]
2022-11-23T01:56:55.9399056Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:56:55.9399402Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:56:55.9399676Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9399927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ormqr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9400171Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9400427Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9400706Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9400936Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64 SKIPPED (Skipped!) [ 91%]
2022-11-23T01:56:55.9401157Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cuda_float64 SKIPPED (Skipped!) [ 91%]
2022-11-23T01:56:55.9401372Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cuda_float64 SKIPPED (Skipped!) [ 91%]
2022-11-23T01:56:55.9401616Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:56:55.9401869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:56:55.9402119Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_prod_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:56:55.9402320Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_complex128 PASSED [ 92%]
2022-11-23T01:56:55.9402574Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:56:55.9402772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rad2deg_cuda_float64 PASSED [ 92%]
2022-11-23T01:56:55.9403127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:56:55.9403486Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:56:55.9403837Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:56:55.9404195Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:56:55.9404450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:56:55.9404699Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_real_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:56:55.9404901Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_complex128 PASSED [ 92%]
2022-11-23T01:56:55.9405106Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reciprocal_cuda_float64 PASSED [ 92%]
2022-11-23T01:56:55.9405328Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_float64 PASSED [ 92%]
2022-11-23T01:56:55.9405586Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:56:55.9405939Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%]
2022-11-23T01:56:55.9406136Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_cuda_float64 PASSED [ 93%]
2022-11-23T01:56:55.9406379Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_neg_3_cuda_float64 SKIPPED (Skipped!) [ 93%]
2022-11-23T01:56:55.9406576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_complex128 PASSED [ 93%]
2022-11-23T01:56:55.9406827Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:56:55.9407197Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%]
2022-11-23T01:56:55.9407558Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scalar_tensor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%]
2022-11-23T01:56:55.9407755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_float64 PASSED [ 93%]
2022-11-23T01:56:55.9407959Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_complex128 PASSED [ 93%]
2022-11-23T01:56:55.9408168Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amax_cuda_float64 PASSED [ 93%]
2022-11-23T01:56:55.9408381Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_amin_cuda_float64 PASSED [ 93%]
2022-11-23T01:56:55.9408740Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_searchsorted_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%]
2022-11-23T01:56:55.9408996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:56:55.9409251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:56:55.9409511Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_select_scatter_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:56:55.9409708Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_float64 PASSED [ 94%]
2022-11-23T01:56:55.9409905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_float64 PASSED [ 94%]
2022-11-23T01:56:55.9410279Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_cosine_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:56:55.9410652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_exponential_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:56:55.9411022Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_kaiser_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:56:55.9411378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signbit_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:56:55.9411599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_float64 PASSED [ 94%]
2022-11-23T01:56:55.9411795Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_complex128 PASSED [ 94%]
2022-11-23T01:56:55.9411986Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinh_cuda_float64 PASSED [ 94%]
2022-11-23T01:56:55.9412250Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:56:55.9412520Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sort_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:56:55.9412790Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_sampled_addmm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:56:55.9413060Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sparse_sampled_addmm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:56:55.9413428Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_airy_ai_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9413794Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_j1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9414148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_y0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9414543Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9414944Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 95%]
2022-11-23T01:56:55.9415341Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9415597Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i0e_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:56:55.9415854Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i1e_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:56:55.9416249Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9416512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_log_ndtr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:56:55.9416891Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_i0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9417272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9417532Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_ndtr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:56:55.9417957Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:56:55.9418372Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 96%]
2022-11-23T01:56:55.9418887Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 96%]
2022-11-23T01:56:55.9419296Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 96%]
2022-11-23T01:56:55.9419757Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 96%]
2022-11-23T01:56:55.9420148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_spherical_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2022-11-23T01:56:55.9420411Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_xlog1py_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9420778Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_zeta_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2022-11-23T01:56:55.9421046Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9421308Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9421505Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sqrt_cuda_float64 PASSED [ 96%]
2022-11-23T01:56:55.9421707Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_square_cuda_complex128 PASSED [ 96%]
2022-11-23T01:56:55.9421904Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_square_cuda_float64 PASSED [ 96%]
2022-11-23T01:56:55.9422160Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9422418Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9422670Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:56:55.9422920Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_mean_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9423115Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sub_cuda_float64 PASSED [ 97%]
2022-11-23T01:56:55.9423364Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9423624Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_to_size_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9423883Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_to_size_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9424113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_cuda_complex128 PASSED [ 97%]
2022-11-23T01:56:55.9424374Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_along_dim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9424626Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9424880Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9425108Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tanh_cuda_complex128 PASSED [ 97%]
2022-11-23T01:56:55.9425304Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tanh_cuda_float64 PASSED [ 97%]
2022-11-23T01:56:55.9425560Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensor_split_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9425821Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensor_split_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9426070Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tile_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:56:55.9426323Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9426581Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_sparse_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9426838Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trace_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9427101Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapezoid_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9427358Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapezoid_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9427612Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapz_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9427881Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triangular_solve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9428078Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tril_cuda_float64 PASSED [ 98%]
2022-11-23T01:56:55.9428278Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triu_cuda_complex128 PASSED [ 98%]
2022-11-23T01:56:55.9428466Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triu_cuda_float64 PASSED [ 98%]
2022-11-23T01:56:55.9428674Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_true_divide_cuda_complex128 PASSED [ 98%]
2022-11-23T01:56:55.9428931Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unbind_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9429187Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unbind_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9429474Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unflatten_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:56:55.9429838Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_uniform_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2022-11-23T01:56:55.9430190Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_uniform_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2022-11-23T01:56:55.9430623Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unique_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2022-11-23T01:56:55.9430884Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsqueeze_cuda_complex128 PASSED [ 99%]
2022-11-23T01:56:55.9431132Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9431387Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9431639Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vdot_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9431891Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_complex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9432157Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_real_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9432414Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_copy_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9432669Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9432918Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9433171Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vsplit_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9433426Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_where_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:56:55.9433788Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%]
2022-11-23T01:56:55.9433795Z 
2022-11-23T01:56:55.9433920Z =============================== warnings summary ===============================
2022-11-23T01:56:55.9434142Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:56:55.9434497Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:56:55.9434596Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:56:55.9434610Z 
2022-11-23T01:56:55.9434839Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:56:55.9435189Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0b47ca155048b5b3.xml -
2022-11-23T01:56:55.9435339Z = 816 passed, 593 skipped, 4 deselected, 20 xfailed, 1 warning in 341.06s (0:05:41) =
2022-11-23T01:56:55.9435550Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:56:55.9435556Z 
2022-11-23T01:56:55.9435886Z ##[endgroup]
2022-11-23T01:56:55.9436196Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_z9kotte9)
2022-11-23T01:56:55.9436202Z 
2022-11-23T01:57:57.2015051Z 
2022-11-23T01:57:57.2015770Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:57:57.2016716Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_kt93ou23)
2022-11-23T01:57:57.2017505Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0faa118da99a33b0.xml
2022-11-23T01:57:57.2020994Z ============================= test session starts ==============================
2022-11-23T01:57:57.2021967Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:57:57.2022402Z cachedir: .pytest_cache
2022-11-23T01:57:57.2023087Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:57:57.2023660Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:57:57.2024113Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:57:57.2024487Z collecting ... collected 2901 items / 8 deselected / 2893 selected
2022-11-23T01:57:57.2189729Z Running 1460 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmod___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rpow___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_abs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acos_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcdiv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_decomposed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_all_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_allclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_aminmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_angle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_angle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_any_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argsort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argwhere_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bfloat16_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_block_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bool_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bool_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_byte_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cartesian_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdouble_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cfloat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chalf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_inverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_max_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_min_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clone_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clone_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_column_stack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_column_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_combinations_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_constant_pad_nd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_copysign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_corrcoef_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cov_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cov_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cummax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_embed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_embed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diff_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_double_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_double_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_equal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erfc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expm1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eye_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eye_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flip_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fliplr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flipud_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_frexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gather_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gather_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_half_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_histc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hypot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_igamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_igammac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_inner_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_inner_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_int_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_int_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isfinite_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isinf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isnan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isneginf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isposinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_istft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_unary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kthvalue_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ldexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lerp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lgamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cond_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_householder_product_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_multi_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_multi_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_slogdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svdvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svdvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vecdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vecdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vector_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log10_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log10_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log1p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logaddexp2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logcumsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_and_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_not_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_xor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_long_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_unpack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mH_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mT_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_log_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_logaddexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matrix_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_pool2d_with_indices_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_variadic_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_variadic_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_minimum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_movedim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_msort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_multinomial_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanquantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nansum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_dropout_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ne_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nextafter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_celu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cross_entropy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_ctc_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_elu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_embedding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_gelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardtanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_leaky_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_linear_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_local_response_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_mse_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_circular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_constant_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_reflect_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pairwise_distance_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pairwise_distance_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_poisson_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_prelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_relu6_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_rrelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_selu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softsign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_tanhshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_upsample_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_fro_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_inf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_nuc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ormqr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_outer_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_outer_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pca_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_permute_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_positive_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rad2deg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rand_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rand_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randint_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randint_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ravel_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reciprocal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_renorm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_renorm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_interleave_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_roll_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rot90_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scalar_tensor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sgn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signbit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_airy_ai_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_j1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_y0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_y1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_entr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i0e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i1e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_legendre_polynomial_p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_ndtri_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_xlog1py_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_zeta_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_with_sizes_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_square_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_squeeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_squeeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_t_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_along_dim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tile_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_sparse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapz_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapz_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unsqueeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_where_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zero__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zero__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_H_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_T_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___radd___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___radd___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmatmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmatmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rpow___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rpow___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rsub___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_abs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcdiv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcmul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_decomposed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_decomposed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_allclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_angle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_angle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_any_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_arange_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argsort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argwhere_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argwhere_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_block_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bool_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bucketize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_byte_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdouble_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdouble_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cfloat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cfloat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chalf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_inverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_inverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clone_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_column_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_combinations_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_physical_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_physical_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_copysign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_corrcoef_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cov_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cov_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cummax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cummin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumulative_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_embed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diff_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_digamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_double_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_double_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_equal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erfc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftshift_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fliplr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flipud_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_floor_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_frac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gradient_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_grid_sampler_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_histc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hypot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_igammac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_add_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_reduce_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_inner_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_int_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isclose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isfinite_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isnan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isnan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isneginf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_return_by_ref_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_return_by_ref_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_unary_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kron_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kthvalue_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ldexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lerp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lgamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvals_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvalsh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvalsh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_householder_product_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_householder_product_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_multi_dot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_singular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_slogdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorsolve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vander_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vecdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vecdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vector_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vector_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log10_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log10_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log1p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_and_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_not_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_or_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_or_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_xor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_unpack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mH_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mT_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mT_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumprod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_maximum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_minimum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_movedim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_msort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_multinomial_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmedian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_dropout_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ne_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional__scaled_dot_product_attention_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_celu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardtanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_instance_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_local_response_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_prelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_rrelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_selu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_silu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softplus_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_fro_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_inf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_nuc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polar_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_positive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_quantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rad2deg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rand_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reciprocal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_remainder_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_renorm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize_as__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rot90_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_segment_reduce_lengths_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_segment_reduce_offsets_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sgn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sigmoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_gaussian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_kaiser_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_airy_ai_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_j1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_y0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_y1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_w_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_entr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_hermite_polynomial_h_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i0e_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_laguerre_polynomial_l_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_log_ndtr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_ndtri_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_spherical_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_list_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_with_sizes_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_square_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_squeeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_symeig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_topk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapz_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triangular_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tril_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trunc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unbind_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_uniform_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unique_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsqueeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_where_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_where_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_xlogy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zero__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_H_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_H_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_T_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_T_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___getitem___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___radd___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rdiv___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmatmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmatmul___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rpow___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rsub___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rsub___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_abs_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_abs_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_aminmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argsort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bernoulli_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bucketize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_copysign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_deg2rad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_digamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_trunc_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expm1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ge_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_heaviside_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_histc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hypot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igammac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isposinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_le_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lgamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logcumsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_maximum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_minimum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_msort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nan_to_num_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmedian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanquantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional__scaled_dot_product_attention_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_elu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_glu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_grid_sample_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_group_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_huber_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_instance_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_kl_div_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_prelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu6_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_rrelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_threshold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_number_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pca_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polar_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_quantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_remainder_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_segment_reduce_lengths_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_segment_reduce_offsets_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_gaussian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_y1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_entr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_erfcx_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_hermite_polynomial_h_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_ndtri_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_symeig_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_symeig_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_along_dim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_sparse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_topk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapz_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triangular_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tril_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_true_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trunc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unique_consecutive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsqueeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_where_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_xlogy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_like_cuda_complex128
2022-11-23T01:57:57.2344258Z 
2022-11-23T01:57:57.2344518Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2344947Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2345353Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2345759Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2346157Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2346561Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2346971Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmod___cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2347362Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmul___cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2347768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rpow___cuda_float64 SKIPPED (Skipped!) [  0%]
2022-11-23T01:57:57.2348180Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_abs_cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2348577Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acos_cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2348971Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_acosh_cuda_complex128 PASSED [  0%]
2022-11-23T01:57:57.2349393Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_add_cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2349801Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addbmm_cuda_float64 PASSED [  0%]
2022-11-23T01:57:57.2350205Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addcdiv_cuda_complex128 PASSED [  1%]
2022-11-23T01:57:57.2350748Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmm_decomposed_cuda_float64 PASSED [  1%]
2022-11-23T01:57:57.2351153Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addmv_cuda_complex128 PASSED [  1%]
2022-11-23T01:57:57.2351550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_addr_cuda_complex128 PASSED [  1%]
2022-11-23T01:57:57.2352246Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_all_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2352865Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_allclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2353312Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_amin_cuda_float64 PASSED [  1%]
2022-11-23T01:57:57.2353863Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_aminmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2354648Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_angle_cuda_complex128 PASSED [  1%]
2022-11-23T01:57:57.2355052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_angle_cuda_float64 PASSED [  1%]
2022-11-23T01:57:57.2355590Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_any_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2356194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2356795Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argsort_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2357456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_argwhere_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2022-11-23T01:57:57.2357930Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_cuda_complex128 SKIPPED (Numerous errors) [  1%]
2022-11-23T01:57:57.2358371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_cuda_float64 SKIPPED (Numerous errors) [  2%]
2022-11-23T01:57:57.2358835Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_as_strided_scatter_cuda_complex128 SKIPPED (Passes on complex128 and float64 only) [  2%]
2022-11-23T01:57:57.2359280Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asin_cuda_complex128 PASSED [  2%]
2022-11-23T01:57:57.2359670Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asinh_cuda_complex128 PASSED [  2%]
2022-11-23T01:57:57.2360071Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_asinh_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2360464Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan2_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2360863Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan_cuda_complex128 PASSED [  2%]
2022-11-23T01:57:57.2361247Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atan_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2361633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atanh_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2362035Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_1d_cuda_complex128 PASSED [  2%]
2022-11-23T01:57:57.2362429Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_atleast_2d_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2362835Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bfloat16_cuda_complex128 XFAIL [  2%]
2022-11-23T01:57:57.2363238Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_block_diag_cuda_complex128 PASSED [  2%]
2022-11-23T01:57:57.2363635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bmm_cuda_float64 PASSED [  2%]
2022-11-23T01:57:57.2364177Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bool_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:57:57.2364784Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_bool_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:57:57.2365238Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_to_cuda_complex128 PASSED [  3%]
2022-11-23T01:57:57.2365646Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_broadcast_to_cuda_float64 PASSED [  3%]
2022-11-23T01:57:57.2366196Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_byte_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2022-11-23T01:57:57.2366648Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cartesian_prod_cuda_complex128 PASSED [  3%]
2022-11-23T01:57:57.2367314Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cat_cuda_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [  3%]
2022-11-23T01:57:57.2367997Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cat_cuda_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [  3%]
2022-11-23T01:57:57.2368475Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cdouble_cuda_complex128 PASSED [  3%]
2022-11-23T01:57:57.2368864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cfloat_cuda_float64 XFAIL [  3%]
2022-11-23T01:57:57.2369298Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_chalf_cuda_complex128 XFAIL [  3%]
2022-11-23T01:57:57.2369695Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_cuda_float64 PASSED [  3%]
2022-11-23T01:57:57.2370100Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_inverse_cuda_float64 PASSED [  3%]
2022-11-23T01:57:57.2370518Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cholesky_solve_cuda_float64 PASSED [  3%]
2022-11-23T01:57:57.2370916Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_cuda_float64 PASSED [  3%]
2022-11-23T01:57:57.2371314Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_max_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2371705Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clamp_min_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2372109Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clone_cuda_complex128 PASSED [  4%]
2022-11-23T01:57:57.2372508Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_clone_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2372913Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_column_stack_cuda_complex128 PASSED [  4%]
2022-11-23T01:57:57.2373314Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_column_stack_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2373715Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_combinations_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2374122Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_conj_cuda_complex128 PASSED [  4%]
2022-11-23T01:57:57.2374524Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_constant_pad_nd_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2374922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_copysign_cuda_float64 PASSED [  4%]
2022-11-23T01:57:57.2375329Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_corrcoef_cuda_complex128 PASSED [  4%]
2022-11-23T01:57:57.2375744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cov_cuda_complex128 SKIPPED (Barely fails) [  4%]
2022-11-23T01:57:57.2376162Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cov_cuda_float64 SKIPPED (Barely fails) [  4%]
2022-11-23T01:57:57.2376567Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cross_cuda_complex128 PASSED [  4%]
2022-11-23T01:57:57.2376963Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cross_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2377357Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cummax_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2377814Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumprod_cuda_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  5%]
2022-11-23T01:57:57.2378274Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumprod_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2378673Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_cumsum_cuda_complex128 PASSED [  5%]
2022-11-23T01:57:57.2379642Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_embed_cuda_complex128 PASSED [  5%]
2022-11-23T01:57:57.2380065Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diag_embed_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2380471Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_copy_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2380876Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diagonal_cuda_complex128 PASSED [  5%]
2022-11-23T01:57:57.2381275Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_diff_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2381699Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dist_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2382106Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2382518Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_double_cuda_complex128 PASSED [  5%]
2022-11-23T01:57:57.2382918Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_double_cuda_float64 PASSED [  5%]
2022-11-23T01:57:57.2383312Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dsplit_cuda_complex128 PASSED [  5%]
2022-11-23T01:57:57.2383708Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_dsplit_cuda_float64 PASSED [  6%]
2022-11-23T01:57:57.2384321Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2384933Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2385540Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2386150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_empty_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2386749Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eq_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2387343Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_equal_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2387777Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_erfc_cuda_float64 PASSED [  6%]
2022-11-23T01:57:57.2388172Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_exp_cuda_float64 PASSED [  6%]
2022-11-23T01:57:57.2388570Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_as_cuda_complex128 PASSED [  6%]
2022-11-23T01:57:57.2388976Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expand_cuda_complex128 PASSED [  6%]
2022-11-23T01:57:57.2389366Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_expm1_cuda_float64 PASSED [  6%]
2022-11-23T01:57:57.2389913Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eye_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2390640Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_eye_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2022-11-23T01:57:57.2391106Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft2_cuda_complex128 PASSED [  6%]
2022-11-23T01:57:57.2391498Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft2_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2391933Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fft_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2392333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftn_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2392737Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftshift_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2393137Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_fftshift_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2393537Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfft2_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2393933Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfftn_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2394398Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_hfftn_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2394795Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftn_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2395192Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftn_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2395595Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ifftshift_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2395995Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_ihfftn_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2396398Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft2_cuda_complex128 PASSED [  7%]
2022-11-23T01:57:57.2396802Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft2_cuda_float64 PASSED [  7%]
2022-11-23T01:57:57.2397204Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_irfft_cuda_complex128 PASSED [  8%]
2022-11-23T01:57:57.2397592Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfft2_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2397989Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fft_rfft_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2398378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fill_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2398763Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flip_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2399150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fliplr_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2399563Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_flipud_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2399986Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_fmax_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2400367Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_frexp_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2400928Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2022-11-23T01:57:57.2401533Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2022-11-23T01:57:57.2402143Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_full_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2022-11-23T01:57:57.2402591Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gather_cuda_complex128 PASSED [  8%]
2022-11-23T01:57:57.2402979Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gather_cuda_float64 PASSED [  8%]
2022-11-23T01:57:57.2403522Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_gt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2022-11-23T01:57:57.2403957Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_half_cuda_float64 XFAIL [  9%]
2022-11-23T01:57:57.2404537Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_histc_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:57:57.2404981Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hsplit_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2405378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hstack_cuda_complex128 PASSED [  9%]
2022-11-23T01:57:57.2405774Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hstack_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2406158Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_hypot_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2406741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_igamma_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:57:57.2407341Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_igammac_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2022-11-23T01:57:57.2407798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_copy_cuda_complex128 PASSED [  9%]
2022-11-23T01:57:57.2408192Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_copy_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2408598Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_fill_cuda_complex128 PASSED [  9%]
2022-11-23T01:57:57.2408998Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_fill_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2409401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_put_cuda_complex128 PASSED [  9%]
2022-11-23T01:57:57.2409798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_put_cuda_float64 PASSED [  9%]
2022-11-23T01:57:57.2410198Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_index_select_cuda_float64 PASSED [ 10%]
2022-11-23T01:57:57.2410596Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_inner_cuda_complex128 PASSED [ 10%]
2022-11-23T01:57:57.2410990Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_inner_cuda_float64 PASSED [ 10%]
2022-11-23T01:57:57.2411538Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_int_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2412127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_int_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2412739Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2413345Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2413947Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isfinite_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2414550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2415152Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isinf_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2415750Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2416352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isnan_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2416986Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isneginf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2417589Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_isposinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 10%]
2022-11-23T01:57:57.2418038Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_istft_cuda_complex128 PASSED [ 10%]
2022-11-23T01:57:57.2418623Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_2inputs_2outputs_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:57:57.2419679Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_4inputs_with_extra_args_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:57:57.2420344Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:57:57.2420994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_binary_return_by_ref_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:57:57.2421623Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_jiterator_unary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2022-11-23T01:57:57.2422077Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_kthvalue_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2422468Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ldexp_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2422861Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lerp_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2423257Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lgamma_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2423654Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cond_cuda_complex128 PASSED [ 11%]
2022-11-23T01:57:57.2424062Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2424546Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_det_singular_cuda_complex128 SKIPPED (Skipped, see https://github.com//issues/84192) [ 11%]
2022-11-23T01:57:57.2425011Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eig_cuda_complex128 PASSED [ 11%]
2022-11-23T01:57:57.2425421Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigh_cuda_complex128 PASSED [ 11%]
2022-11-23T01:57:57.2425830Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigh_cuda_float64 PASSED [ 11%]
2022-11-23T01:57:57.2426236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_eigvals_cuda_float64 PASSED [ 12%]
2022-11-23T01:57:57.2426662Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_householder_product_cuda_complex128 PASSED [ 12%]
2022-11-23T01:57:57.2427078Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_cuda_complex128 PASSED [ 12%]
2022-11-23T01:57:57.2427481Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_cuda_float64 PASSED [ 12%]
2022-11-23T01:57:57.2427885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_inv_ex_cuda_float64 PASSED [ 12%]
2022-11-23T01:57:57.2428473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:57:57.2429103Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:57:57.2429900Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_factor_ex_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:57:57.2430648Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_ldl_solve_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 12%]
2022-11-23T01:57:57.2431122Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_cuda_float64 SKIPPED (Skipped!) [ 12%]
2022-11-23T01:57:57.2431549Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cuda_complex128 PASSED [ 12%]
2022-11-23T01:57:57.2432027Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lstsq_grad_oriented_cuda_float64 PASSED [ 12%]
2022-11-23T01:57:57.2432444Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_cuda_complex128 PASSED [ 12%]
2022-11-23T01:57:57.2432863Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_cuda_complex128 PASSED [ 12%]
2022-11-23T01:57:57.2433273Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2433690Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_factor_ex_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2434106Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_solve_cuda_complex128 PASSED [ 13%]
2022-11-23T01:57:57.2434517Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_lu_solve_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2434922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_norm_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2435345Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_power_cuda_complex128 PASSED [ 13%]
2022-11-23T01:57:57.2435948Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%]
2022-11-23T01:57:57.2436583Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_matrix_rank_hermitian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%]
2022-11-23T01:57:57.2437052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_multi_dot_cuda_complex128 PASSED [ 13%]
2022-11-23T01:57:57.2437470Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_multi_dot_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2437879Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2438304Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_norm_subgradients_at_zero_cuda_complex128 XFAIL [ 13%]
2022-11-23T01:57:57.2438737Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cuda_complex128 PASSED [ 13%]
2022-11-23T01:57:57.2439167Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_hermitian_cuda_float64 PASSED [ 13%]
2022-11-23T01:57:57.2439651Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_pinv_singular_cuda_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 13%]
2022-11-23T01:57:57.2440120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_qr_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2440524Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_qr_cuda_float64 PASSED [ 14%]
2022-11-23T01:57:57.2440934Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_slogdet_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2441384Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2441804Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_solve_triangular_cuda_float64 PASSED [ 14%]
2022-11-23T01:57:57.2442212Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svd_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2442615Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svd_cuda_float64 PASSED [ 14%]
2022-11-23T01:57:57.2443026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svdvals_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2443442Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_svdvals_cuda_float64 PASSED [ 14%]
2022-11-23T01:57:57.2443874Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_tensorinv_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2444292Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vecdot_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2444704Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vecdot_cuda_float64 PASSED [ 14%]
2022-11-23T01:57:57.2445117Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_vector_norm_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2445517Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log10_cuda_complex128 PASSED [ 14%]
2022-11-23T01:57:57.2445907Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log10_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2446302Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log1p_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2446701Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log2_cuda_complex128 PASSED [ 15%]
2022-11-23T01:57:57.2447089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_cuda_complex128 PASSED [ 15%]
2022-11-23T01:57:57.2447485Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2447886Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_log_softmax_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2448282Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logaddexp2_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2448688Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logcumsumexp_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2449086Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logdet_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2449653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_and_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:57:57.2450258Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_not_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:57:57.2450858Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logical_xor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:57:57.2451462Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:57:57.2451915Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_logsumexp_cuda_float64 PASSED [ 15%]
2022-11-23T01:57:57.2452460Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_long_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2022-11-23T01:57:57.2453050Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
2022-11-23T01:57:57.2453495Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_lu_unpack_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2453936Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mH_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2454327Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mT_cuda_complex128 PASSED [ 16%]
2022-11-23T01:57:57.2454726Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_amax_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2455295Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
2022-11-23T01:57:57.2455762Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumprod_cuda_complex128 PASSED [ 16%]
2022-11-23T01:57:57.2456203Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_cumsum_cuda_complex128 PASSED [ 16%]
2022-11-23T01:57:57.2456610Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_fill_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2457020Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_log_softmax_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2457440Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_logaddexp_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2457849Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_logsumexp_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2458263Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_mean_cuda_complex128 PASSED [ 16%]
2022-11-23T01:57:57.2458670Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_mean_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2459491Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_median_cuda_float64 PASSED [ 16%]
2022-11-23T01:57:57.2459914Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_norm_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2460316Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_prod_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2460723Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_scatter_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2461136Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_scatter_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2461540Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2461950Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2462360Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_softmax_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2462764Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2463164Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2463570Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_sum_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2463970Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2464365Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2464768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matmul_cuda_complex128 PASSED [ 17%]
2022-11-23T01:57:57.2465166Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matmul_cuda_float64 PASSED [ 17%]
2022-11-23T01:57:57.2465564Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_matrix_exp_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2466087Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_pool2d_with_indices_backward_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2466523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_reduction_no_dim_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2466945Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_max_reduction_with_dim_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2467350Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mean_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2467738Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_median_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2468192Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_variadic_tensors_cuda_complex128 PASSED [ 18%]
2022-11-23T01:57:57.2468630Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_meshgrid_variadic_tensors_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2469047Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_binary_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2469483Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_min_reduction_no_dim_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2469915Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_minimum_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2470398Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mm_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2470837Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_movedim_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2471352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_msort_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2471750Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mul_cuda_float64 PASSED [ 18%]
2022-11-23T01:57:57.2472339Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_multinomial_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2472795Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_1_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2473220Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_mvlgamma_mvlgamma_p_5_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2473633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nanquantile_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2474038Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nansum_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2474594Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_copy_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2475045Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_narrow_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2475460Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_native_dropout_backward_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2476029Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ne_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2476465Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_neg_cuda_complex128 PASSED [ 19%]
2022-11-23T01:57:57.2477026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2477653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_new_empty_strided_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2478268Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nextafter_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2022-11-23T01:57:57.2478815Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool1d_cuda_float64 PASSED [ 19%]
2022-11-23T01:57:57.2479260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_avg_pool3d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2479709Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_adaptive_max_pool1d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2480145Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool1d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2480576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool2d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2481052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_avg_pool3d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2481489Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_binary_cross_entropy_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2481930Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_celu_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2482350Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cuda_complex128 PASSED [ 20%]
2022-11-23T01:57:57.2482763Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv1d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2483198Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cuda_complex128 PASSED [ 20%]
2022-11-23T01:57:57.2483645Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose1d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2484073Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2484508Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2484942Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_cross_entropy_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2485368Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_ctc_loss_cuda_float64 PASSED [ 20%]
2022-11-23T01:57:57.2485784Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout2d_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2486208Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_dropout_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2486631Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_elu_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2487051Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_embedding_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2487496Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_with_train_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2487978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 PASSED [ 21%]
2022-11-23T01:57:57.2488460Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_feature_alpha_dropout_without_train_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2488920Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_fractional_max_pool3d_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2489409Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_gaussian_nll_loss_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2489842Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_gelu_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2490299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hardtanh_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2490737Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_hinge_embedding_loss_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2491182Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_bicubic_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2491629Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_bilinear_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2492076Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_interpolate_linear_cuda_float64 PASSED [ 21%]
2022-11-23T01:57:57.2492536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_l1_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2492955Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_leaky_relu_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2493382Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_linear_cuda_complex128 PASSED [ 22%]
2022-11-23T01:57:57.2493816Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_local_response_norm_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2494258Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_margin_ranking_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2494688Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool1d_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2495129Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool2d_grad_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2495560Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_max_unpool3d_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2495992Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_mse_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2496420Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multi_margin_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2496869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_multilabel_margin_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2497300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_nll_loss_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2497728Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_circular_cuda_complex128 PASSED [ 22%]
2022-11-23T01:57:57.2498159Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_constant_cuda_float64 PASSED [ 22%]
2022-11-23T01:57:57.2498591Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pad_reflect_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2499443Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pairwise_distance_cuda_complex128 PASSED [ 23%]
2022-11-23T01:57:57.2499909Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pairwise_distance_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2500328Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pdist_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2500755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_shuffle_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2501193Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_pixel_unshuffle_cuda_complex128 PASSED [ 23%]
2022-11-23T01:57:57.2501636Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_poisson_nll_loss_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2502152Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_prelu_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2502573Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_relu6_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2502989Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_rrelu_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2503401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_selu_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2503821Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_smooth_l1_loss_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2504286Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softmin_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2504706Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softshrink_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2505139Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_softsign_cuda_float64 PASSED [ 23%]
2022-11-23T01:57:57.2505557Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_tanhshrink_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2505990Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_loss_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2506445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_triplet_margin_with_distance_loss_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2506891Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_unfold_cuda_complex128 PASSED [ 24%]
2022-11-23T01:57:57.2507309Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_unfold_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2507741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_nn_functional_upsample_nearest_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2508160Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2508557Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_fro_cuda_complex128 PASSED [ 24%]
2022-11-23T01:57:57.2508948Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_inf_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2509353Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_norm_nuc_cuda_float64 PASSED [ 24%]
2022-11-23T01:57:57.2509810Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_normal_cuda_float64 SKIPPED (Gradients are incorrect!) [ 24%]
2022-11-23T01:57:57.2510599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%]
2022-11-23T01:57:57.2511251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%]
2022-11-23T01:57:57.2511861Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ones_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 24%]
2022-11-23T01:57:57.2512313Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ormqr_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2512717Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_outer_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2513104Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_outer_cuda_float64 PASSED [ 25%]
2022-11-23T01:57:57.2513512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_pca_lowrank_cuda_float64 PASSED [ 25%]
2022-11-23T01:57:57.2513922Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_permute_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2514408Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_positive_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2514805Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_prod_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2515210Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_put_cuda_complex128 PASSED [ 25%]
2022-11-23T01:57:57.2515607Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_qr_cuda_float64 PASSED [ 25%]
2022-11-23T01:57:57.2515993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rad2deg_cuda_float64 PASSED [ 25%]
2022-11-23T01:57:57.2516559Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rand_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:57:57.2517205Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rand_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:57:57.2517809Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randint_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:57:57.2518417Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randint_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:57:57.2519011Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 25%]
2022-11-23T01:57:57.2519614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_randn_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 26%]
2022-11-23T01:57:57.2520061Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_ravel_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2520456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_real_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2520856Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reciprocal_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2521260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_renorm_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2521658Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_renorm_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2522053Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2522455Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_repeat_interleave_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2522873Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_as_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2523276Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_as_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2523676Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2524076Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_reshape_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2524625Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resize__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 26%]
2022-11-23T01:57:57.2541383Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_neg_cuda_complex128 PASSED [ 26%]
2022-11-23T01:57:57.2541902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_resolve_neg_cuda_float64 PASSED [ 26%]
2022-11-23T01:57:57.2542321Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_roll_cuda_complex128 PASSED [ 27%]
2022-11-23T01:57:57.2542721Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rot90_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2543308Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2543724Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_round_decimals_3_cuda_float64 SKIPPED (Skipped!) [ 27%]
2022-11-23T01:57:57.2544150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_rsub_cuda_complex128 PASSED [ 27%]
2022-11-23T01:57:57.2544794Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scalar_tensor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 27%]
2022-11-23T01:57:57.2545257Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_add_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2545706Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_amin_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2546131Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_mean_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2546550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_scatter_reduce_sum_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2546963Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_cuda_complex128 PASSED [ 27%]
2022-11-23T01:57:57.2547369Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_select_scatter_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2547771Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sgn_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2548167Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sigmoid_cuda_float64 PASSED [ 27%]
2022-11-23T01:57:57.2548758Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signal_windows_exponential_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2549374Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_signbit_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2549829Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinc_cuda_complex128 PASSED [ 28%]
2022-11-23T01:57:57.2550226Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinh_cuda_complex128 PASSED [ 28%]
2022-11-23T01:57:57.2550757Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sinh_cuda_float64 PASSED [ 28%]
2022-11-23T01:57:57.2551643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_slice_cuda_float64 PASSED [ 28%]
2022-11-23T01:57:57.2552057Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_with_dtype_cuda_complex128 PASSED [ 28%]
2022-11-23T01:57:57.2552492Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_softmax_with_dtype_cuda_float64 PASSED [ 28%]
2022-11-23T01:57:57.2552890Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sort_cuda_float64 PASSED [ 28%]
2022-11-23T01:57:57.2553321Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sparse_sampled_addmm_cuda_float64 SKIPPED (Skipped!) [ 28%]
2022-11-23T01:57:57.2553923Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_airy_ai_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2554552Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_j1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2555186Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_y0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2555797Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_bessel_y1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2556514Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 28%]
2022-11-23T01:57:57.2557197Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 29%]
2022-11-23T01:57:57.2557680Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_entr_cuda_float64 PASSED [ 29%]
2022-11-23T01:57:57.2558084Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i0e_cuda_float64 PASSED [ 29%]
2022-11-23T01:57:57.2558488Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_i1e_cuda_float64 PASSED [ 29%]
2022-11-23T01:57:57.2559121Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_legendre_polynomial_p_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 29%]
2022-11-23T01:57:57.2559831Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 29%]
2022-11-23T01:57:57.2560475Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 29%]
2022-11-23T01:57:57.2560952Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_ndtr_cuda_float64 PASSED [ 29%]
2022-11-23T01:57:57.2561371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_ndtri_cuda_float64 PASSED [ 29%]
2022-11-23T01:57:57.2561981Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 29%]
2022-11-23T01:57:57.2562650Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_scaled_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 29%]
2022-11-23T01:57:57.2563318Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 29%]
2022-11-23T01:57:57.2564007Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 29%]
2022-11-23T01:57:57.2564686Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_shifted_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 29%]
2022-11-23T01:57:57.2565183Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_xlog1py_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2565756Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_special_zeta_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 30%]
2022-11-23T01:57:57.2566211Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2566621Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_split_with_sizes_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2567026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sqrt_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2567419Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_square_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2567830Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_squeeze_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2568240Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_squeeze_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2568633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stack_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2569056Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2569462Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_std_mean_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2569869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stft_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2570266Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_stft_cuda_float64 PASSED [ 30%]
2022-11-23T01:57:57.2570652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_sub_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2571077Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_svd_cuda_complex128 PASSED [ 30%]
2022-11-23T01:57:57.2571474Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_t_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2571855Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_t_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2572266Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_along_dim_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2572671Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_take_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2573074Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tan_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2573462Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tan_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2573850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tanh_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2574251Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tile_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2574649Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2575036Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2575439Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_to_sparse_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2575845Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trace_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2576245Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapezoid_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2576653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapz_cuda_complex128 PASSED [ 31%]
2022-11-23T01:57:57.2577051Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_trapz_cuda_float64 PASSED [ 31%]
2022-11-23T01:57:57.2577456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2577842Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2578239Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triu_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2578647Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2579378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2579773Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2580179Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unflatten_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2580589Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_copy_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2580993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2581473Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unsqueeze_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2581876Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2582274Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_var_mean_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2582665Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vdot_cuda_float64 PASSED [ 32%]
2022-11-23T01:57:57.2583066Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_cuda_complex128 PASSED [ 32%]
2022-11-23T01:57:57.2583465Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2583899Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_as_real_cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2584296Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_view_cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2584698Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vsplit_cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2585103Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vsplit_cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2585507Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_vstack_cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2585902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_where_cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2586301Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zero__cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2586703Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zero__cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2587284Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 33%]
2022-11-23T01:57:57.2587889Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 33%]
2022-11-23T01:57:57.2588512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_zeros_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 33%]
2022-11-23T01:57:57.2588964Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_H_cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2589348Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_T_cuda_float64 PASSED [ 33%]
2022-11-23T01:57:57.2589741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___radd___cuda_complex128 PASSED [ 33%]
2022-11-23T01:57:57.2590145Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___radd___cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2590644Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmatmul___cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2591056Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmatmul___cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2591452Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rmul___cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2591869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rpow___cuda_complex128 SKIPPED (Skipped!) [ 34%]
2022-11-23T01:57:57.2592293Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rpow___cuda_float64 SKIPPED (Skipped!) [ 34%]
2022-11-23T01:57:57.2592692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD___rsub___cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2593084Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_abs_cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2593482Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_acos_cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2593914Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_add_cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2594314Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addbmm_cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2594715Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcdiv_cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2595125Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcmul_cuda_complex128 PASSED [ 34%]
2022-11-23T01:57:57.2595527Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addcmul_cuda_float64 PASSED [ 34%]
2022-11-23T01:57:57.2595915Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_cuda_complex128 PASSED [ 35%]
2022-11-23T01:57:57.2596338Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_cuda_float64 PASSED [ 35%]
2022-11-23T01:57:57.2596753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_decomposed_cuda_complex128 PASSED [ 35%]
2022-11-23T01:57:57.2597178Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addmm_decomposed_cuda_float64 PASSED [ 35%]
2022-11-23T01:57:57.2597582Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_addr_cuda_complex128 PASSED [ 35%]
2022-11-23T01:57:57.2598156Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_allclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2598608Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_amax_cuda_float64 PASSED [ 35%]
2022-11-23T01:57:57.2599006Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_angle_cuda_complex128 PASSED [ 35%]
2022-11-23T01:57:57.2599415Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_angle_cuda_float64 PASSED [ 35%]
2022-11-23T01:57:57.2600006Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_any_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2600617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_arange_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2601223Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2601822Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2602424Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argsort_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2603044Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argwhere_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 35%]
2022-11-23T01:57:57.2603670Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_argwhere_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:57:57.2604139Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_cuda_complex128 SKIPPED (Numerous errors) [ 36%]
2022-11-23T01:57:57.2604587Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_cuda_float64 SKIPPED (Numerous errors) [ 36%]
2022-11-23T01:57:57.2605019Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_as_strided_scatter_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2605438Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asin_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2605834Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asinh_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2606237Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2606687Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_float64 PASSED [ 36%]
2022-11-23T01:57:57.2607095Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_baddbmm_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2607489Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bfloat16_cuda_float64 XFAIL [ 36%]
2022-11-23T01:57:57.2607888Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_block_diag_cuda_complex128 PASSED [ 36%]
2022-11-23T01:57:57.2608289Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bmm_cuda_float64 PASSED [ 36%]
2022-11-23T01:57:57.2608879Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bool_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:57:57.2609493Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bucketize_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:57:57.2610094Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_byte_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 36%]
2022-11-23T01:57:57.2610741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cat_cuda_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 37%]
2022-11-23T01:57:57.2611212Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdist_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2611614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdouble_cuda_complex128 PASSED [ 37%]
2022-11-23T01:57:57.2612010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cdouble_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2612410Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cfloat_cuda_complex128 XFAIL [ 37%]
2022-11-23T01:57:57.2612811Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cfloat_cuda_float64 XFAIL [ 37%]
2022-11-23T01:57:57.2613208Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chalf_cuda_complex128 XFAIL [ 37%]
2022-11-23T01:57:57.2613610Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_inverse_cuda_complex128 PASSED [ 37%]
2022-11-23T01:57:57.2614032Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_inverse_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2614445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2614846Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_chunk_cuda_complex128 PASSED [ 37%]
2022-11-23T01:57:57.2615245Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clamp_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2615649Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_clone_cuda_complex128 PASSED [ 37%]
2022-11-23T01:57:57.2616052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_column_stack_cuda_float64 PASSED [ 37%]
2022-11-23T01:57:57.2616453Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_combinations_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2616856Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_complex_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2617254Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2617660Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_physical_cuda_complex128 PASSED [ 38%]
2022-11-23T01:57:57.2618070Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_conj_physical_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2618474Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_copysign_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2619163Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_corrcoef_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2619572Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cos_cuda_complex128 PASSED [ 38%]
2022-11-23T01:57:57.2619962Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cosh_cuda_complex128 PASSED [ 38%]
2022-11-23T01:57:57.2620358Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cov_cuda_complex128 XFAIL [ 38%]
2022-11-23T01:57:57.2620751Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cov_cuda_float64 XFAIL [ 38%]
2022-11-23T01:57:57.2621191Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cross_cuda_complex128 PASSED [ 38%]
2022-11-23T01:57:57.2621589Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cummax_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2621983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cummin_cuda_float64 PASSED [ 38%]
2022-11-23T01:57:57.2622404Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumulative_trapezoid_cuda_complex128 PASSED [ 38%]
2022-11-23T01:57:57.2622826Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumulative_trapezoid_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2623238Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2623643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_embed_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2624054Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2624455Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2624863Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_copy_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2625287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2625692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2626080Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diff_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2626480Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_digamma_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2626876Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dist_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2627264Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dot_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2627664Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_double_cuda_complex128 PASSED [ 39%]
2022-11-23T01:57:57.2628066Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_double_cuda_float64 PASSED [ 39%]
2022-11-23T01:57:57.2628471Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dsplit_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2628867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_dstack_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2629456Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:57:57.2630075Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_empty_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:57:57.2630782Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_eq_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:57:57.2631374Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_equal_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2022-11-23T01:57:57.2631859Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_erfc_cuda_float64 PASSED [ 40%]
2022-11-23T01:57:57.2632258Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2632657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_exp_cuda_float64 PASSED [ 40%]
2022-11-23T01:57:57.2633052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_as_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2633461Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_expand_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2633894Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft2_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2634301Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft2_cuda_float64 PASSED [ 40%]
2022-11-23T01:57:57.2634692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fft_cuda_float64 PASSED [ 40%]
2022-11-23T01:57:57.2635095Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftn_cuda_complex128 PASSED [ 40%]
2022-11-23T01:57:57.2635494Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2635896Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_fftshift_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2636287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfft_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2636693Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfftn_cuda_complex128 PASSED [ 41%]
2022-11-23T01:57:57.2637097Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_hfftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2637484Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft2_cuda_complex128 PASSED [ 41%]
2022-11-23T01:57:57.2637892Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft_cuda_complex128 PASSED [ 41%]
2022-11-23T01:57:57.2638292Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifft_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2638692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ifftshift_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2639092Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_ihfftn_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2639494Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft2_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2639897Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfft_cuda_complex128 PASSED [ 41%]
2022-11-23T01:57:57.2640298Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_irfftn_cuda_complex128 PASSED [ 41%]
2022-11-23T01:57:57.2640697Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fft_rfft_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2641089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fill_cuda_float64 PASSED [ 41%]
2022-11-23T01:57:57.2641486Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fliplr_cuda_complex128 PASSED [ 42%]
2022-11-23T01:57:57.2641889Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_flipud_cuda_float64 PASSED [ 42%]
2022-11-23T01:57:57.2642273Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_cuda_float64 XFAIL [ 42%]
2022-11-23T01:57:57.2642676Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_float_power_cuda_complex128 PASSED [ 42%]
2022-11-23T01:57:57.2643254Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_floor_divide_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:57:57.2643727Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_fmin_cuda_float64 PASSED [ 42%]
2022-11-23T01:57:57.2644116Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_frac_cuda_float64 PASSED [ 42%]
2022-11-23T01:57:57.2644668Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:57:57.2645280Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_full_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:57:57.2645739Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_gradient_cuda_complex128 PASSED [ 42%]
2022-11-23T01:57:57.2646179Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_grid_sampler_2d_cuda_float64 PASSED [ 42%]
2022-11-23T01:57:57.2646741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_histc_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2022-11-23T01:57:57.2647200Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hsplit_cuda_complex128 PASSED [ 42%]
2022-11-23T01:57:57.2647598Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hstack_cuda_complex128 PASSED [ 42%]
2022-11-23T01:57:57.2647993Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hstack_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2648390Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_hypot_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2648945Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_igammac_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2649401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_add_cuda_complex128 PASSED [ 43%]
2022-11-23T01:57:57.2649807Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_add_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2650213Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_copy_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2650620Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_reduce_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2651024Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_index_select_cuda_complex128 PASSED [ 43%]
2022-11-23T01:57:57.2651432Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_inner_cuda_float64 PASSED [ 43%]
2022-11-23T01:57:57.2651979Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_int_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2652584Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2653185Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isclose_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2653794Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isfinite_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2654391Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2654994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isnan_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2022-11-23T01:57:57.2655586Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isnan_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2656178Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_isneginf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2656851Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2657490Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2658134Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_return_by_ref_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2659055Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_binary_return_by_ref_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2659752Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_jiterator_unary_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2022-11-23T01:57:57.2660216Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kron_cuda_complex128 PASSED [ 44%]
2022-11-23T01:57:57.2660620Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_kthvalue_cuda_float64 PASSED [ 44%]
2022-11-23T01:57:57.2661009Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ldexp_cuda_float64 PASSED [ 44%]
2022-11-23T01:57:57.2661406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lerp_cuda_complex128 PASSED [ 44%]
2022-11-23T01:57:57.2661802Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lgamma_cuda_float64 PASSED [ 44%]
2022-11-23T01:57:57.2662208Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cross_cuda_complex128 PASSED [ 44%]
2022-11-23T01:57:57.2662607Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cross_cuda_float64 PASSED [ 44%]
2022-11-23T01:57:57.2663017Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2663422Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2663836Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_det_singular_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2664242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eig_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2664649Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigh_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2665063Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvals_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2665481Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvalsh_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2665894Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_eigvalsh_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2666325Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_householder_product_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2666766Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_householder_product_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2667179Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2667586Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_cuda_float64 PASSED [ 45%]
2022-11-23T01:57:57.2667995Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_inv_ex_cuda_complex128 PASSED [ 45%]
2022-11-23T01:57:57.2668579Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2022-11-23T01:57:57.2669297Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_factor_ex_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2022-11-23T01:57:57.2669937Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_solve_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2022-11-23T01:57:57.2670674Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_ldl_solve_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2022-11-23T01:57:57.2671148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_cuda_complex128 SKIPPED (Skipped!) [ 46%]
2022-11-23T01:57:57.2671626Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_cuda_float64 SKIPPED (Skipped!) [ 46%]
2022-11-23T01:57:57.2672052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_complex128 PASSED [ 46%]
2022-11-23T01:57:57.2672488Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_cuda_complex128 PASSED [ 46%]
2022-11-23T01:57:57.2673443Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_cuda_float64 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88476 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 46%]
2022-11-23T01:57:57.2674148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_ex_cuda_float64 PASSED [ 46%]
2022-11-23T01:57:57.2674570Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_complex128 PASSED [ 46%]
2022-11-23T01:57:57.2674978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_float64 PASSED [ 46%]
2022-11-23T01:57:57.2675396Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_norm_cuda_float64 PASSED [ 46%]
2022-11-23T01:57:57.2675815Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_complex128 PASSED [ 46%]
2022-11-23T01:57:57.2676236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_float64 PASSED [ 46%]
2022-11-23T01:57:57.2676816Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2022-11-23T01:57:57.2677468Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2022-11-23T01:57:57.2678123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2022-11-23T01:57:57.2678599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_multi_dot_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2678998Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2679440Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_complex128 XFAIL [ 47%]
2022-11-23T01:57:57.2679926Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_float64 XFAIL [ 47%]
2022-11-23T01:57:57.2680352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_cuda_complex128 PASSED [ 47%]
2022-11-23T01:57:57.2680752Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2681205Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_hermitian_cuda_complex128 PASSED [ 47%]
2022-11-23T01:57:57.2681637Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_hermitian_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2682123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_singular_cuda_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 47%]
2022-11-23T01:57:57.2682655Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_pinv_singular_cuda_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 47%]
2022-11-23T01:57:57.2683148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_qr_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2683559Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_slogdet_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2683970Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_solve_cuda_float64 PASSED [ 47%]
2022-11-23T01:57:57.2684369Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svd_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2684776Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_svd_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2685183Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorinv_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2685602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_tensorsolve_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2686012Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vander_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2686431Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vecdot_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2686838Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vecdot_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2687259Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vector_norm_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2687674Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_vector_norm_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2688248Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:57:57.2688861Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2022-11-23T01:57:57.2689347Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log10_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2689759Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log10_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2690152Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log1p_cuda_float64 PASSED [ 48%]
2022-11-23T01:57:57.2690552Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log2_cuda_complex128 PASSED [ 48%]
2022-11-23T01:57:57.2690946Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_log_cuda_float64 PASSED [ 49%]
2022-11-23T01:57:57.2691500Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_and_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2692120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_not_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2692741Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_or_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2693396Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_or_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2694002Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logical_xor_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2694620Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2695225Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_logspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2022-11-23T01:57:57.2695702Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_cuda_float64 PASSED [ 49%]
2022-11-23T01:57:57.2696090Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_solve_cuda_float64 PASSED [ 49%]
2022-11-23T01:57:57.2696504Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_lu_unpack_cuda_complex128 PASSED [ 49%]
2022-11-23T01:57:57.2696904Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mH_cuda_complex128 PASSED [ 49%]
2022-11-23T01:57:57.2697299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mT_cuda_complex128 PASSED [ 49%]
2022-11-23T01:57:57.2697679Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mT_cuda_float64 PASSED [ 49%]
2022-11-23T01:57:57.2698078Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_amax_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2698485Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_amin_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2699315Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%]
2022-11-23T01:57:57.2699775Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumprod_cuda_complex128 PASSED [ 50%]
2022-11-23T01:57:57.2700194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_cumsum_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2700604Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_fill_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2701007Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_mean_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2701398Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_median_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2701812Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_scatter_cuda_complex128 PASSED [ 50%]
2022-11-23T01:57:57.2702235Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_complex128 PASSED [ 50%]
2022-11-23T01:57:57.2702637Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2703052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmax_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2703463Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmin_cuda_float64 PASSED [ 50%]
2022-11-23T01:57:57.2703867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_sum_cuda_complex128 PASSED [ 50%]
2022-11-23T01:57:57.2704265Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_var_cuda_complex128 PASSED [ 50%]
2022-11-23T01:57:57.2704666Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_complex128 PASSED [ 51%]
2022-11-23T01:57:57.2705074Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2705475Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_binary_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2705963Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_reduction_with_dim_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2706375Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_maximum_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2706794Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2707206Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_binary_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2707613Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_reduction_with_dim_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2708075Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_minimum_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2708471Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mode_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2708866Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_movedim_cuda_complex128 PASSED [ 51%]
2022-11-23T01:57:57.2709266Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_msort_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2709689Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mul_cuda_complex128 PASSED [ 51%]
2022-11-23T01:57:57.2710359Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_multinomial_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2022-11-23T01:57:57.2710828Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mv_cuda_float64 PASSED [ 51%]
2022-11-23T01:57:57.2711240Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2711663Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2712075Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmean_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2712464Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmedian_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2712864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_complex128 PASSED [ 52%]
2022-11-23T01:57:57.2713254Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2713666Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_dropout_backward_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2714093Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_layer_norm_cuda_float64 SKIPPED (Skipped!) [ 52%]
2022-11-23T01:57:57.2714677Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ne_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:57:57.2715122Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_neg_cuda_float64 PASSED [ 52%]
2022-11-23T01:57:57.2715683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:57:57.2716302Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_strided_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:57:57.2716919Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:57:57.2717533Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 52%]
2022-11-23T01:57:57.2718138Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%]
2022-11-23T01:57:57.2718667Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional__scaled_dot_product_attention_cuda_float64 SKIPPED (Skipped!) [ 53%]
2022-11-23T01:57:57.2719139Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2719635Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2720089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2720557Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2720988Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2721430Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2721855Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2722275Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_batch_norm_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2722698Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_celu_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2723125Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_complex128 PASSED [ 53%]
2022-11-23T01:57:57.2723549Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2723973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128 PASSED [ 53%]
2022-11-23T01:57:57.2724418Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64 PASSED [ 53%]
2022-11-23T01:57:57.2724864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2725317Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2725743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout2d_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2726170Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout3d_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2726599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2727052Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2727507Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2727956Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2728392Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2728825Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardtanh_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2729250Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_instance_norm_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2729692Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64 PASSED [ 54%]
2022-11-23T01:57:57.2730167Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_complex128 PASSED [ 54%]
2022-11-23T01:57:57.2730599Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_complex128 PASSED [ 54%]
2022-11-23T01:57:57.2731013Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2731448Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_local_response_norm_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2731884Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool3d_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2732342Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2732768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64 XFAIL [ 55%]
2022-11-23T01:57:57.2733198Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mish_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2733626Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2734073Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2734508Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_nll_loss_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2734936Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2735369Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_complex128 PASSED [ 55%]
2022-11-23T01:57:57.2735810Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2736238Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128 PASSED [ 55%]
2022-11-23T01:57:57.2736669Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_float64 PASSED [ 55%]
2022-11-23T01:57:57.2737112Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128 PASSED [ 55%]
2022-11-23T01:57:57.2737557Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128 PASSED [ 56%]
2022-11-23T01:57:57.2737989Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2738425Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2739147Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2739583Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_prelu_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2739994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2740406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_rrelu_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2740819Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_selu_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2741235Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_silu_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2741653Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2742167Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2742613Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128 PASSED [ 56%]
2022-11-23T01:57:57.2743059Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2743482Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softplus_cuda_float64 PASSED [ 56%]
2022-11-23T01:57:57.2743912Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128 PASSED [ 56%]
2022-11-23T01:57:57.2744380Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2744830Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128 PASSED [ 57%]
2022-11-23T01:57:57.2745272Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2745709Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_complex128 PASSED [ 57%]
2022-11-23T01:57:57.2746134Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2746570Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2747179Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%]
2022-11-23T01:57:57.2747799Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%]
2022-11-23T01:57:57.2748245Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2748644Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_fro_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2749036Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_inf_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2749431Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_nuc_cuda_float64 PASSED [ 57%]
2022-11-23T01:57:57.2749857Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_cuda_float64 SKIPPED (Gradients are incorrect!) [ 57%]
2022-11-23T01:57:57.2750546Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%]
2022-11-23T01:57:57.2751165Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:57:57.2751780Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:57:57.2752231Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_complex128 PASSED [ 58%]
2022-11-23T01:57:57.2752633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_float64 PASSED [ 58%]
2022-11-23T01:57:57.2753016Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polar_cuda_float64 PASSED [ 58%]
2022-11-23T01:57:57.2753444Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64 SKIPPED (Skipped!) [ 58%]
2022-11-23T01:57:57.2753871Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_positive_cuda_float64 PASSED [ 58%]
2022-11-23T01:57:57.2754297Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pow_cuda_complex128 PASSED [ 58%]
2022-11-23T01:57:57.2754697Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_put_cuda_complex128 PASSED [ 58%]
2022-11-23T01:57:57.2755090Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_qr_cuda_complex128 PASSED [ 58%]
2022-11-23T01:57:57.2755484Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_quantile_cuda_float64 PASSED [ 58%]
2022-11-23T01:57:57.2755874Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rad2deg_cuda_float64 PASSED [ 58%]
2022-11-23T01:57:57.2756477Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rand_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:57:57.2757089Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:57:57.2757695Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%]
2022-11-23T01:57:57.2758296Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%]
2022-11-23T01:57:57.2758753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2759150Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2759550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reciprocal_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2759948Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_remainder_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2760344Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_renorm_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2760746Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2761165Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2761578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2761994Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2762396Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_float64 PASSED [ 59%]
2022-11-23T01:57:57.2762960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize_as__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%]
2022-11-23T01:57:57.2763408Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_conj_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2763825Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_neg_cuda_complex128 PASSED [ 59%]
2022-11-23T01:57:57.2764235Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_neg_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2764633Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rot90_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2765016Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2765434Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_round_decimals_3_cuda_float64 SKIPPED (Skipped!) [ 60%]
2022-11-23T01:57:57.2765854Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rsqrt_cuda_complex128 PASSED [ 60%]
2022-11-23T01:57:57.2766258Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_cuda_complex128 PASSED [ 60%]
2022-11-23T01:57:57.2766697Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_amax_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2767116Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_amin_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2767534Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_mean_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2767936Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_prod_cuda_float64 XFAIL [ 60%]
2022-11-23T01:57:57.2768348Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_sum_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2768801Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_segment_reduce_lengths_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2769220Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_segment_reduce_offsets_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2769628Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_cuda_float64 PASSED [ 60%]
2022-11-23T01:57:57.2770025Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sgn_cuda_complex128 PASSED [ 60%]
2022-11-23T01:57:57.2770589Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:57:57.2771190Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:57:57.2771632Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sigmoid_cuda_complex128 PASSED [ 61%]
2022-11-23T01:57:57.2772028Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sign_cuda_float64 PASSED [ 61%]
2022-11-23T01:57:57.2772608Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_exponential_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:57:57.2773260Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_gaussian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:57:57.2773892Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_kaiser_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2022-11-23T01:57:57.2774354Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sin_cuda_complex128 PASSED [ 61%]
2022-11-23T01:57:57.2774750Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_complex128 PASSED [ 61%]
2022-11-23T01:57:57.2775147Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_float64 PASSED [ 61%]
2022-11-23T01:57:57.2775532Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinh_cuda_complex128 PASSED [ 61%]
2022-11-23T01:57:57.2775927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinh_cuda_float64 PASSED [ 61%]
2022-11-23T01:57:57.2776323Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_cuda_complex128 PASSED [ 61%]
2022-11-23T01:57:57.2776716Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_slice_cuda_float64 PASSED [ 61%]
2022-11-23T01:57:57.2777114Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_softmax_with_dtype_cuda_float64 PASSED [ 61%]
2022-11-23T01:57:57.2777696Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_airy_ai_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2778328Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_j1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2779346Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_y0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2780008Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_bessel_y1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2780648Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_t_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2781305Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2782008Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_chebyshev_polynomial_w_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 62%]
2022-11-23T01:57:57.2782495Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_entr_cuda_float64 PASSED [ 62%]
2022-11-23T01:57:57.2783074Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_hermite_polynomial_h_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2783546Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_i0e_cuda_float64 PASSED [ 62%]
2022-11-23T01:57:57.2784133Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_laguerre_polynomial_l_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2784612Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_log_ndtr_cuda_float64 PASSED [ 62%]
2022-11-23T01:57:57.2785188Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_i1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2785829Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2022-11-23T01:57:57.2786300Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_ndtri_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2786902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_scaled_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2022-11-23T01:57:57.2787576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 63%]
2022-11-23T01:57:57.2788252Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 63%]
2022-11-23T01:57:57.2788914Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_special_spherical_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2022-11-23T01:57:57.2789386Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_cuda_complex128 PASSED [ 63%]
2022-11-23T01:57:57.2789797Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_list_args_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2790205Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_split_with_sizes_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2790751Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sqrt_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2791182Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_square_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2791585Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_squeeze_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2792017Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_cuda_complex128 PASSED [ 63%]
2022-11-23T01:57:57.2792417Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_mean_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2792810Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_float64 PASSED [ 63%]
2022-11-23T01:57:57.2793194Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_complex128 PASSED [ 63%]
2022-11-23T01:57:57.2793583Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2793971Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_symeig_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2794446Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2794826Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2795236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2795650Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2796053Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2796439Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2796831Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2797222Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_float64 PASSED [ 64%]
2022-11-23T01:57:57.2797624Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2798026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2798424Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_complex128 PASSED [ 64%]
2022-11-23T01:57:57.2798996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2022-11-23T01:57:57.2799445Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2799842Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_topk_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2800243Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trace_cuda_complex128 PASSED [ 65%]
2022-11-23T01:57:57.2800637Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trace_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2801029Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_transpose_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2801437Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapezoid_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2801829Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trapz_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2802241Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triangular_solve_cuda_complex128 PASSED [ 65%]
2022-11-23T01:57:57.2802638Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tril_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2803029Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triu_cuda_complex128 PASSED [ 65%]
2022-11-23T01:57:57.2803426Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_triu_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2803815Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trunc_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2804242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unbind_cuda_complex128 PASSED [ 65%]
2022-11-23T01:57:57.2804652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unflatten_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2805060Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_copy_cuda_float64 PASSED [ 65%]
2022-11-23T01:57:57.2805451Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2805845Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_float64 PASSED [ 66%]
2022-11-23T01:57:57.2806430Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_uniform_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2022-11-23T01:57:57.2807034Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unique_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2022-11-23T01:57:57.2807481Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsqueeze_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2807888Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2808288Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_mean_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2808697Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_complex_cuda_float64 PASSED [ 66%]
2022-11-23T01:57:57.2809095Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_cuda_float64 PASSED [ 66%]
2022-11-23T01:57:57.2809546Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_as_real_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2809956Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_copy_cuda_float64 PASSED [ 66%]
2022-11-23T01:57:57.2810357Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_view_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2810749Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vsplit_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2811148Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vsplit_cuda_float64 PASSED [ 66%]
2022-11-23T01:57:57.2811544Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vstack_cuda_complex128 PASSED [ 66%]
2022-11-23T01:57:57.2811940Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_vstack_cuda_float64 PASSED [ 67%]
2022-11-23T01:57:57.2812331Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_where_cuda_complex128 PASSED [ 67%]
2022-11-23T01:57:57.2812731Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_where_cuda_float64 PASSED [ 67%]
2022-11-23T01:57:57.2813123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_xlogy_cuda_float64 PASSED [ 67%]
2022-11-23T01:57:57.2813514Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zero__cuda_complex128 PASSED [ 67%]
2022-11-23T01:57:57.2814070Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:57:57.2814667Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:57:57.2815268Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_zeros_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2022-11-23T01:57:57.2815787Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_H_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2816324Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_H_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2816840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_T_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2817345Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_T_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2817865Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___getitem___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2818406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___radd___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 67%]
2022-11-23T01:57:57.2819201Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rdiv___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2819735Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmatmul___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2820264Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rmatmul___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2820742Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rpow___cuda_complex128 SKIPPED (Skipped!) [ 68%]
2022-11-23T01:57:57.2821216Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rsub___cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2821738Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD___rsub___cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2822365Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_abs_cuda_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 68%]
2022-11-23T01:57:57.2822826Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_abs_cuda_float64 PASSED [ 68%]
2022-11-23T01:57:57.2823232Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_complex128 PASSED [ 68%]
2022-11-23T01:57:57.2823702Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2824225Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 68%]
2022-11-23T01:57:57.2824691Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_complex128 PASSED [ 68%]
2022-11-23T01:57:57.2825101Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_float64 PASSED [ 68%]
2022-11-23T01:57:57.2825516Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_float64 PASSED [ 68%]
2022-11-23T01:57:57.2825931Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_float64 PASSED [ 68%]
2022-11-23T01:57:57.2826358Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_complex128 PASSED [ 69%]
2022-11-23T01:57:57.2826784Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_float64 PASSED [ 69%]
2022-11-23T01:57:57.2827207Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_complex128 PASSED [ 69%]
2022-11-23T01:57:57.2827793Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2828406Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:57:57.2829028Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_aminmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2829548Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:57:57.2829902Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2830373Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmax_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2830768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2831127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argsort_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2022-11-23T01:57:57.2831355Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_complex128 SKIPPED (Numerous errors) [ 69%]
2022-11-23T01:57:57.2831576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_float64 SKIPPED (Numerous errors) [ 69%]
2022-11-23T01:57:57.2831844Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 69%]
2022-11-23T01:57:57.2832103Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2832352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2832615Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2832873Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2833128Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2833333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_complex128 PASSED [ 70%]
2022-11-23T01:57:57.2833593Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bernoulli_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2833856Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2834108Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2834358Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2834717Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2022-11-23T01:57:57.2835009Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 70%]
2022-11-23T01:57:57.2835372Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bucketize_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2022-11-23T01:57:57.2835720Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2022-11-23T01:57:57.2836066Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2022-11-23T01:57:57.2836496Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 71%]
2022-11-23T01:57:57.2836896Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 71%]
2022-11-23T01:57:57.2837151Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2837402Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2837657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2838015Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2022-11-23T01:57:57.2838369Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2022-11-23T01:57:57.2838640Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2838903Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2839156Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2839408Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2839698Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2839973Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_complex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2840219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2840470Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 71%]
2022-11-23T01:57:57.2840683Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_complex128 PASSED [ 72%]
2022-11-23T01:57:57.2840889Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2841180Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2841381Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_copysign_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2841578Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2841951Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 72%]
2022-11-23T01:57:57.2842224Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2842475Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2842676Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2842876Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2843146Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2843416Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2843616Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_deg2rad_cuda_float64 PASSED [ 72%]
2022-11-23T01:57:57.2843867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 72%]
2022-11-23T01:57:57.2844124Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2844384Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2844649Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2844911Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2845169Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2845421Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_scatter_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2845624Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_digamma_cuda_float64 PASSED [ 73%]
2022-11-23T01:57:57.2845877Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2846099Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_complex128 PASSED [ 73%]
2022-11-23T01:57:57.2846313Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_float64 PASSED [ 73%]
2022-11-23T01:57:57.2846551Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_trunc_rounding_cuda_float64 PASSED [ 73%]
2022-11-23T01:57:57.2846807Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2847066Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2847321Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2847602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 73%]
2022-11-23T01:57:57.2847857Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:57:57.2848116Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:57:57.2848358Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:57:57.2848722Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2849086Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2849488Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2849840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2850039Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfinv_cuda_float64 PASSED [ 74%]
2022-11-23T01:57:57.2850236Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_float64 PASSED [ 74%]
2022-11-23T01:57:57.2850495Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:57:57.2850696Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expm1_cuda_float64 PASSED [ 74%]
2022-11-23T01:57:57.2851050Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2851401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2022-11-23T01:57:57.2851647Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 74%]
2022-11-23T01:57:57.2851901Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2852158Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2852425Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2852712Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2852975Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2853226Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2853478Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2853777Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2854035Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2854289Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2854545Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2854798Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2855048Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft2_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2855299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfftn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:57:57.2855500Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_complex128 PASSED [ 75%]
2022-11-23T01:57:57.2855755Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2856005Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2856259Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2856518Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2856768Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2857017Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2857262Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2857461Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frac_cuda_float64 PASSED [ 76%]
2022-11-23T01:57:57.2857823Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:57:57.2858201Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:57:57.2858550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ge_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:57:57.2859144Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:57:57.2859447Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2859871Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gt_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2022-11-23T01:57:57.2860132Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 76%]
2022-11-23T01:57:57.2860383Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:57:57.2860743Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_heaviside_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:57:57.2861093Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_histc_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:57:57.2861354Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:57:57.2861613Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:57:57.2861866Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 77%]
2022-11-23T01:57:57.2862059Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hypot_cuda_float64 PASSED [ 77%]
2022-11-23T01:57:57.2862253Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_i0_cuda_float64 PASSED [ 77%]
2022-11-23T01:57:57.2862610Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igammac_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2022-11-23T01:57:57.2862823Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_complex128 PASSED [ 77%]
2022-11-23T01:57:57.2863031Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_float64 PASSED [ 77%]
2022-11-23T01:57:57.2863238Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_complex128 PASSED [ 77%]
2022-11-23T01:57:57.2863440Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_float64 PASSED [ 77%]
2022-11-23T01:57:57.2863645Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_complex128 PASSED [ 77%]
2022-11-23T01:57:57.2863848Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_float64 PASSED [ 78%]
2022-11-23T01:57:57.2864121Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:57:57.2864484Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2864864Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2865218Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2865576Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2865927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isposinf_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2866357Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2866752Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2867010Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:57:57.2867356Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_le_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2022-11-23T01:57:57.2867562Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_complex128 PASSED [ 78%]
2022-11-23T01:57:57.2867761Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_float64 PASSED [ 78%]
2022-11-23T01:57:57.2867960Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lgamma_cuda_float64 PASSED [ 78%]
2022-11-23T01:57:57.2868227Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 78%]
2022-11-23T01:57:57.2868477Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2868736Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2869001Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2869269Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2869550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2869826Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2870092Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2870439Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2870862Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2022-11-23T01:57:57.2871245Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2022-11-23T01:57:57.2871617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2022-11-23T01:57:57.2871982Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2022-11-23T01:57:57.2872225Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_float64 SKIPPED (Skipped!) [ 79%]
2022-11-23T01:57:57.2872494Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2022-11-23T01:57:57.2872769Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2873032Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2873289Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2873559Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2873823Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2874088Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2874351Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2874609Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2874884Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2875147Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2875523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2022-11-23T01:57:57.2875911Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2022-11-23T01:57:57.2876287Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2022-11-23T01:57:57.2876553Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2876843Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2022-11-23T01:57:57.2877127Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2877405Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2877663Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2877961Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 81%]
2022-11-23T01:57:57.2878231Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2878493Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2878753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2879026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2879302Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2879564Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2879822Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2880081Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2880349Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2880621Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2880882Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2022-11-23T01:57:57.2881141Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2881415Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2881783Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2022-11-23T01:57:57.2881983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_complex128 PASSED [ 82%]
2022-11-23T01:57:57.2882212Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_complex128 PASSED [ 82%]
2022-11-23T01:57:57.2882408Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_float64 PASSED [ 82%]
2022-11-23T01:57:57.2882684Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2882952Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2883231Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logcumsumexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2883602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2022-11-23T01:57:57.2883972Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2022-11-23T01:57:57.2884332Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2022-11-23T01:57:57.2884590Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logsumexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2884851Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2022-11-23T01:57:57.2885105Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2885359Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2885617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2885981Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmin_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2022-11-23T01:57:57.2886248Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2886513Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2886780Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logsumexp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2887031Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2887289Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_median_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2887550Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2887837Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2888100Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2888362Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmin_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2888621Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2888901Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:57:57.2889164Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2889419Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2889680Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2889939Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2890197Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_maximum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2890448Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2890725Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2890983Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_binary_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2891248Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_no_dim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2891523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_with_dim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2891778Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_minimum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2892033Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2892285Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2892537Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2022-11-23T01:57:57.2892796Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_msort_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2892997Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_complex128 PASSED [ 85%]
2022-11-23T01:57:57.2893239Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64 PASSED [ 85%]
2022-11-23T01:57:57.2893448Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cuda_float64 PASSED [ 85%]
2022-11-23T01:57:57.2893660Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64 PASSED [ 85%]
2022-11-23T01:57:57.2893865Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nan_to_num_cuda_float64 PASSED [ 85%]
2022-11-23T01:57:57.2894123Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmean_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2894423Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmedian_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2894685Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanquantile_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2894950Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_batch_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2895214Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_layer_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2022-11-23T01:57:57.2895572Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:57:57.2895938Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:57:57.2896303Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:57:57.2896663Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2022-11-23T01:57:57.2897026Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2022-11-23T01:57:57.2897371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2022-11-23T01:57:57.2897731Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2022-11-23T01:57:57.2898024Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional__scaled_dot_product_attention_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2898307Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2898579Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2899159Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2899416Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64 PASSED [ 86%]
2022-11-23T01:57:57.2899790Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2900063Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2900333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2900650Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_without_cudnn_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2900923Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2901202Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2901470Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2022-11-23T01:57:57.2901745Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2902028Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2902298Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2902520Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout2d_cuda_float64 PASSED [ 87%]
2022-11-23T01:57:57.2902734Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout_cuda_float64 PASSED [ 87%]
2022-11-23T01:57:57.2902942Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_elu_cuda_float64 PASSED [ 87%]
2022-11-23T01:57:57.2903212Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2903461Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 PASSED [ 87%]
2022-11-23T01:57:57.2903747Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2904012Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gelu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2904276Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_glu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2904552Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_grid_sample_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2904817Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_group_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2905113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_huber_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2022-11-23T01:57:57.2905388Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_instance_norm_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2905672Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2905978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2906263Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2906545Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2906812Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_kl_div_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2907079Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2907299Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cuda_float64 PASSED [ 88%]
2022-11-23T01:57:57.2907573Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2907845Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2908113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2908386Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2908652Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2908932Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2909206Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2022-11-23T01:57:57.2909487Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2909777Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2910069Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_nll_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2910438Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2910726Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2911006Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2911295Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pdist_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2911577Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2911855Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2912120Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_prelu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2912378Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu6_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2912646Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2912850Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_rrelu_cuda_float64 XFAIL [ 89%]
2022-11-23T01:57:57.2913121Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2022-11-23T01:57:57.2913401Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2913674Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softshrink_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2913944Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2914215Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2914433Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_threshold_cuda_float64 PASSED [ 90%]
2022-11-23T01:57:57.2914703Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2914958Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2915219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2915487Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_number_mean_cuda_float64 SKIPPED (Gradients are incorrect!) [ 90%]
2022-11-23T01:57:57.2915894Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2022-11-23T01:57:57.2916246Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2022-11-23T01:57:57.2916503Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2916791Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pca_lowrank_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2917048Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2917301Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2022-11-23T01:57:57.2917554Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polar_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2917772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cuda_float64 PASSED [ 91%]
2022-11-23T01:57:57.2918005Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cuda_float64 SKIPPED (Skipped!) [ 91%]
2022-11-23T01:57:57.2918267Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2918523Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2918776Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2918972Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_float64 PASSED [ 91%]
2022-11-23T01:57:57.2919215Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2919496Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_quantile_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2919892Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:57:57.2920249Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:57:57.2920614Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_like_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:57:57.2920978Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2022-11-23T01:57:57.2921234Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2921512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:57:57.2921718Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_remainder_cuda_float64 PASSED [ 92%]
2022-11-23T01:57:57.2921920Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_complex128 PASSED [ 92%]
2022-11-23T01:57:57.2922179Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2922450Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2922734Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2922998Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2923259Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2923517Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2923772Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2924146Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:57:57.2924505Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:57:57.2924875Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%]
2022-11-23T01:57:57.2925135Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2925397Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2022-11-23T01:57:57.2925663Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2925923Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2926178Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2926426Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2926682Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2926937Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2927200Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_0_cuda_float64 PASSED [ 93%]
2022-11-23T01:57:57.2927425Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_3_cuda_float64 SKIPPED (Skipped!) [ 93%]
2022-11-23T01:57:57.2927625Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_float64 PASSED [ 93%]
2022-11-23T01:57:57.2927879Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2022-11-23T01:57:57.2928088Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_complex128 PASSED [ 93%]
2022-11-23T01:57:57.2928318Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_float64 PASSED [ 93%]
2022-11-23T01:57:57.2928531Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_mean_cuda_float64 PASSED [ 93%]
2022-11-23T01:57:57.2928744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_prod_cuda_float64 XFAIL [ 93%]
2022-11-23T01:57:57.2928946Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_sum_cuda_float64 PASSED [ 93%]
2022-11-23T01:57:57.2929219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_segment_reduce_lengths_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:57:57.2929534Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_segment_reduce_offsets_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:57:57.2929744Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_complex128 PASSED [ 94%]
2022-11-23T01:57:57.2930104Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:57:57.2930459Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:57:57.2930663Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_complex128 PASSED [ 94%]
2022-11-23T01:57:57.2930860Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sign_cuda_float64 PASSED [ 94%]
2022-11-23T01:57:57.2931242Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_gaussian_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2022-11-23T01:57:57.2931446Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_complex128 PASSED [ 94%]
2022-11-23T01:57:57.2931643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_float64 PASSED [ 94%]
2022-11-23T01:57:57.2931837Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_complex128 PASSED [ 94%]
2022-11-23T01:57:57.2932095Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:57:57.2932349Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:57:57.2932612Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_scatter_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2022-11-23T01:57:57.2932869Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2933170Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2933545Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_j0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2933907Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_y1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2934297Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_u_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2934745Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_v_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 95%]
2022-11-23T01:57:57.2935009Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_entr_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2935271Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_erfcx_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2935657Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_hermite_polynomial_h_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2935905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i1_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2936305Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cuda_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 95%]
2022-11-23T01:57:57.2936691Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_i1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2937077Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_k0_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2022-11-23T01:57:57.2937338Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_ndtri_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2937625Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_polygamma_special_polygamma_n_0_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2022-11-23T01:57:57.2938024Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2022-11-23T01:57:57.2938281Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2938536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2939097Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2939385Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2939616Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sqrt_cuda_complex128 PASSED [ 96%]
2022-11-23T01:57:57.2939916Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_complex128 PASSED [ 96%]
2022-11-23T01:57:57.2940110Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_float64 PASSED [ 96%]
2022-11-23T01:57:57.2940364Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2940620Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_mean_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2940905Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2941159Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2941365Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sub_cuda_complex128 PASSED [ 96%]
2022-11-23T01:57:57.2941613Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2941865Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2022-11-23T01:57:57.2942114Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2942371Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_lowrank_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2942631Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_symeig_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2942872Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_symeig_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2943066Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_cuda_float64 PASSED [ 97%]
2022-11-23T01:57:57.2943335Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_along_dim_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2943536Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_complex128 PASSED [ 97%]
2022-11-23T01:57:57.2943733Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_float64 PASSED [ 97%]
2022-11-23T01:57:57.2943996Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2944255Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2944512Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tile_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2944761Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2945143Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_sparse_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2022-11-23T01:57:57.2945421Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_topk_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2022-11-23T01:57:57.2945673Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trace_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2945871Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_complex128 PASSED [ 98%]
2022-11-23T01:57:57.2946073Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_float64 PASSED [ 98%]
2022-11-23T01:57:57.2946328Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapz_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2946617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triangular_solve_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2946819Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tril_cuda_complex128 PASSED [ 98%]
2022-11-23T01:57:57.2947022Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_true_divide_cuda_float64 PASSED [ 98%]
2022-11-23T01:57:57.2947218Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trunc_cuda_float64 PASSED [ 98%]
2022-11-23T01:57:57.2947474Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unflatten_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2947737Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2947999Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2948259Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2948501Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2022-11-23T01:57:57.2948885Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unique_consecutive_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%]
2022-11-23T01:57:57.2949090Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsqueeze_cuda_float64 PASSED [ 98%]
2022-11-23T01:57:57.2949346Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2949602Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2949855Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vdot_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2950113Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2950462Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2950753Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vsplit_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2951081Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2951643Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2951896Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_where_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2022-11-23T01:57:57.2952084Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_xlogy_cuda_float64 PASSED [ 99%]
2022-11-23T01:57:57.2952311Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_complex128 PASSED [ 99%]
2022-11-23T01:57:57.2952508Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_float64 PASSED [ 99%]
2022-11-23T01:57:57.2952867Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2022-11-23T01:57:57.2953219Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2022-11-23T01:57:57.2953585Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_like_cuda_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%]
2022-11-23T01:57:57.2953595Z 
2022-11-23T01:57:57.2953722Z =============================== warnings summary ===============================
2022-11-23T01:57:57.2953947Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:57:57.2954303Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:57:57.2954410Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:57:57.2954416Z 
2022-11-23T01:57:57.2954659Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:57:57.2954997Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0faa118da99a33b0.xml -
2022-11-23T01:57:57.2955150Z = 840 passed, 602 skipped, 8 deselected, 18 xfailed, 1 warning in 402.40s (0:06:42) =
2022-11-23T01:57:57.2955335Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:57:57.2955341Z 
2022-11-23T01:57:57.2955723Z ##[endgroup]
2022-11-23T01:57:57.2956037Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_kt93ou23)
2022-11-23T01:57:57.2956043Z 
2022-11-23T01:57:57.6557048Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:57:57.655081]
2022-11-23T01:58:05.2567302Z 
2022-11-23T01:58:05.2568196Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:58:05.2569588Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_3c0yhn9z)
2022-11-23T01:58:05.2570906Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-dd45adc57bdbf60a.xml
2022-11-23T01:58:05.2571430Z ============================= test session starts ==============================
2022-11-23T01:58:05.2572000Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:58:05.2572479Z cachedir: .pytest_cache
2022-11-23T01:58:05.2573170Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:58:05.2573735Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:58:05.2574662Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:58:05.2575191Z collecting ... collected 2901 items / 2889 deselected / 12 selected
2022-11-23T01:58:05.2577171Z Running 12 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_float64
2022-11-23T01:58:05.2579080Z 
2022-11-23T01:58:05.2579333Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_cuda_complex128 PASSED [  8%]
2022-11-23T01:58:05.2579770Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_cuda_float64 PASSED [ 16%]
2022-11-23T01:58:05.2580191Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cuda_complex128 PASSED [ 25%]
2022-11-23T01:58:05.2580617Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_linalg_cholesky_ex_cuda_float64 PASSED [ 33%]
2022-11-23T01:58:05.2581042Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_cuda_complex128 PASSED [ 41%]
2022-11-23T01:58:05.2581466Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_cuda_float64 PASSED [ 50%]
2022-11-23T01:58:05.2581903Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_ex_cuda_complex128 PASSED [ 58%]
2022-11-23T01:58:05.2582352Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_cholesky_ex_cuda_float64 PASSED [ 66%]
2022-11-23T01:58:05.2582840Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 75%]
2022-11-23T01:58:05.2583394Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2022-11-23T01:58:05.2583927Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2022-11-23T01:58:05.2584469Z test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [100%]
2022-11-23T01:58:05.2584755Z 
2022-11-23T01:58:05.2584882Z =============================== warnings summary ===============================
2022-11-23T01:58:05.2585279Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:58:05.2585810Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:58:05.2586259Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:58:05.2586407Z 
2022-11-23T01:58:05.2586646Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:58:05.2587191Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-dd45adc57bdbf60a.xml -
2022-11-23T01:58:05.2587592Z =========== 8 passed, 4 skipped, 2889 deselected, 1 warning in 3.63s ===========
2022-11-23T01:58:05.2587943Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:58:05.2588186Z 
2022-11-23T01:58:05.2588446Z ##[endgroup]
2022-11-23T01:58:05.2588860Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_3c0yhn9z)
2022-11-23T01:58:05.2589099Z 
2022-11-23T01:58:05.2589269Z Running test_overrides ... [2022-11-23 01:58:05.257089]
2022-11-23T01:58:05.2589747Z Executing ['/opt/conda/bin/python', '-bb', 'test_overrides.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:58:05.257345]
2022-11-23T01:58:09.2613928Z 
2022-11-23T01:58:09.2615900Z Expand the folded group to see the log file of test_overrides
2022-11-23T01:58:09.2617318Z ##[group]PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_5x7rfgh0)
2022-11-23T01:58:09.2617591Z 
2022-11-23T01:58:09.2617703Z Running tests...
2022-11-23T01:58:09.2618249Z ----------------------------------------------------------------------
2022-11-23T01:58:09.2618746Z Test results will be stored in test-reports/python-unittest/test_overrides
2022-11-23T01:58:09.2619455Z   test_broadcast_all (__main__.TestBroadcastAllOverride) ... ok (1.094s)
2022-11-23T01:58:09.2619919Z   test_parameter_does_not_prevent_dispatch (__main__.TestDisabledTorchFunction) ... ok (0.001s)
2022-11-23T01:58:09.2620254Z   test_wrapper (__main__.TestEinsumOverride) ... ok (0.008s)
2022-11-23T01:58:09.2620592Z   test_gradcheck (__main__.TestGradCheckOverride) ... ok (0.016s)
2022-11-23T01:58:09.2620952Z   test_newones (__main__.TestGradNewOnesOverride) ... ok (0.001s)
2022-11-23T01:58:09.2621226Z   test_getitem (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:58:09.2621538Z   test_getitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:58:09.2621866Z   test_setitem (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:58:09.2622143Z   test_setitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:58:09.2622440Z   test_setitem_val (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:58:09.2622758Z   test_iterator (__main__.TestIterator) ... ok (0.001s)
2022-11-23T01:58:09.2623031Z   test_max (__main__.TestNamedTuple) ... ok (0.001s)
2022-11-23T01:58:09.2623303Z   test_pickle (__main__.TestPickle) ... ok (0.001s)
2022-11-23T01:58:09.2623631Z   test_rnn (__main__.TestRNN) ... ok (0.002s)
2022-11-23T01:58:09.2623995Z   test_resolve_name (__main__.TestResolveName) ... ok (0.098s)
2022-11-23T01:58:09.2624406Z   test_all_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2624757Z   test_basic (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2625073Z   test_disable_enable_subclass (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2625409Z   test_disable_subclass_not_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2626172Z   test_distributions_bernoulli (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2626578Z   test_error_using_class_method_on_mode (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T01:58:09.2626912Z   test_factory_override (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2627227Z   test_get_cur_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2627538Z   test_get_mode_stack (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2627877Z   test_mode_notimplemented_loop (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2628401Z   test_modes_handle_first (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2628772Z   test_modes_return_notimplemented (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2629197Z   test_nested_modes_with_python_has_torch_function (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2629614Z   test_nested_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2629928Z   test_nn_parse_to (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2630242Z   test_reentrant_mode_idiom (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2630746Z   test_restacking_with_ancestor (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2631065Z   test_subclass_hash (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2631366Z   test_with_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2631689Z   test_with_mode_created_separately (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2632013Z   test_with_nested_modes (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:58:09.2632329Z   test_Tensor___add__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2632651Z   test_Tensor___and__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2632966Z   test_Tensor___array__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2633334Z   test_Tensor___array_wrap__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2633759Z   test_Tensor___bool__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2634180Z   test_Tensor___complex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2634594Z   test_Tensor___contains__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2635041Z   test_Tensor___cuda_array_interface_____get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2635500Z   test_Tensor___deepcopy__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2635902Z   test_Tensor___div__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2636313Z   test_Tensor___dlpack__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2636737Z   test_Tensor___dlpack_device__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2637160Z   test_Tensor___eq__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2637565Z   test_Tensor___float__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2637982Z   test_Tensor___floordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2638398Z   test_Tensor___format__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2638792Z   test_Tensor___ge__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2639208Z   test_Tensor___getitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2639620Z   test_Tensor___gt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2640028Z   test_Tensor___iadd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2640446Z   test_Tensor___iand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2640813Z   test_Tensor___idiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2641136Z   test_Tensor___ifloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2641457Z   test_Tensor___ilshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2641783Z   test_Tensor___imod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2642099Z   test_Tensor___imul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2642415Z   test_Tensor___index__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2642779Z   test_Tensor___int__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2643136Z   test_Tensor___invert__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2643469Z   test_Tensor___ior__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2643782Z   test_Tensor___irshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2644100Z   test_Tensor___isub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2644414Z   test_Tensor___ixor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2644751Z   test_Tensor___le__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2645059Z   test_Tensor___len__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2645368Z   test_Tensor___long__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2645682Z   test_Tensor___lshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2645996Z   test_Tensor___lt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2646313Z   test_Tensor___matmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2646631Z   test_Tensor___mod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2646941Z   test_Tensor___mul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2647245Z   test_Tensor___ne__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2647563Z   test_Tensor___nonzero__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2647887Z   test_Tensor___or__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2648195Z   test_Tensor___radd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2648516Z   test_Tensor___rand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2648830Z   test_Tensor___rdiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2649147Z   test_Tensor___reduce_ex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2649476Z   test_Tensor___repr__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2649795Z   test_Tensor___reversed__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2650128Z   test_Tensor___rfloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2650450Z   test_Tensor___rlshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2650775Z   test_Tensor___rmatmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2651096Z   test_Tensor___rmod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2651400Z   test_Tensor___rmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2651712Z   test_Tensor___ror__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2652031Z   test_Tensor___rpow__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2652348Z   test_Tensor___rrshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2652660Z   test_Tensor___rshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2653018Z   test_Tensor___rsub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2653332Z   test_Tensor___rxor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2653643Z   test_Tensor___setitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2653976Z   test_Tensor___setstate__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2654296Z   test_Tensor___sub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2654617Z   test_Tensor___truediv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2654962Z   test_Tensor___xor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2655303Z   test_Tensor__autocast_to_full_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2655674Z   test_Tensor__autocast_to_reduced_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2656020Z   test_Tensor__coalesced_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2656342Z   test_Tensor__dimI (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2656659Z   test_Tensor__dimV (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2656981Z   test_Tensor__indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2657325Z   test_Tensor__is_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2657658Z   test_Tensor__nested_tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2657989Z   test_Tensor__nnz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2658302Z   test_Tensor__storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2658628Z   test_Tensor__to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2659110Z   test_Tensor__update_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2659438Z   test_Tensor__values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2659752Z   test_Tensor_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2660067Z   test_Tensor_abs_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2674839Z   test_Tensor_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2675227Z   test_Tensor_absolute_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2675552Z   test_Tensor_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2675882Z   test_Tensor_acos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2676210Z   test_Tensor_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2676536Z   test_Tensor_acosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2676853Z   test_Tensor_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2677175Z   test_Tensor_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2677505Z   test_Tensor_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2677828Z   test_Tensor_addbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2678157Z   test_Tensor_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2678483Z   test_Tensor_addcdiv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2678813Z   test_Tensor_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2679127Z   test_Tensor_addcmul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2679460Z   test_Tensor_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2679786Z   test_Tensor_addmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2680103Z   test_Tensor_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2680430Z   test_Tensor_addmv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2680752Z   test_Tensor_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2681067Z   test_Tensor_addr_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2681397Z   test_Tensor_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2681723Z   test_Tensor_align_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2682050Z   test_Tensor_align_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2682365Z   test_Tensor_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2682783Z   test_Tensor_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2683144Z   test_Tensor_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2683469Z   test_Tensor_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2683794Z   test_Tensor_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2684120Z   test_Tensor_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2684441Z   test_Tensor_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2684792Z   test_Tensor_apply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2685115Z   test_Tensor_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2685440Z   test_Tensor_arccos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2685757Z   test_Tensor_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2686085Z   test_Tensor_arccosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2686410Z   test_Tensor_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2686733Z   test_Tensor_arcsin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2687048Z   test_Tensor_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2687371Z   test_Tensor_arcsinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2687692Z   test_Tensor_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2688009Z   test_Tensor_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2688332Z   test_Tensor_arctan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2688649Z   test_Tensor_arctan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2688976Z   test_Tensor_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2689287Z   test_Tensor_arctanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2689609Z   test_Tensor_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2689934Z   test_Tensor_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2690252Z   test_Tensor_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2690572Z   test_Tensor_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2690900Z   test_Tensor_as_strided (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2691231Z   test_Tensor_as_strided_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2691579Z   test_Tensor_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2691916Z   test_Tensor_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2692239Z   test_Tensor_asin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2692553Z   test_Tensor_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2692887Z   test_Tensor_asinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2693248Z   test_Tensor_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2693561Z   test_Tensor_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2693885Z   test_Tensor_atan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2694205Z   test_Tensor_atan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2694529Z   test_Tensor_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2694844Z   test_Tensor_atanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2695168Z   test_Tensor_backward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2695528Z   test_Tensor_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2695847Z   test_Tensor_baddbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2696179Z   test_Tensor_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2696512Z   test_Tensor_bernoulli_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2696843Z   test_Tensor_bfloat16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2697160Z   test_Tensor_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2697489Z   test_Tensor_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2697852Z   test_Tensor_bitwise_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2698189Z   test_Tensor_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2698540Z   test_Tensor_bitwise_left_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2699011Z   test_Tensor_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2699353Z   test_Tensor_bitwise_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2699678Z   test_Tensor_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2700013Z   test_Tensor_bitwise_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2700358Z   test_Tensor_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2700706Z   test_Tensor_bitwise_right_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2701054Z   test_Tensor_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2701388Z   test_Tensor_bitwise_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2701716Z   test_Tensor_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2702034Z   test_Tensor_bool (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2702365Z   test_Tensor_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2702694Z   test_Tensor_byte (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2703010Z   test_Tensor_cauchy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2703392Z   test_Tensor_ccol_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2703725Z   test_Tensor_cdouble (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2704041Z   test_Tensor_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2704366Z   test_Tensor_ceil_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2704690Z   test_Tensor_cfloat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2705016Z   test_Tensor_chalf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2705333Z   test_Tensor_char (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2705661Z   test_Tensor_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2706002Z   test_Tensor_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2706345Z   test_Tensor_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2706677Z   test_Tensor_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2706997Z   test_Tensor_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2707324Z   test_Tensor_clamp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2707646Z   test_Tensor_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2707980Z   test_Tensor_clamp_max_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2708315Z   test_Tensor_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2708689Z   test_Tensor_clamp_min_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2709017Z   test_Tensor_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2709338Z   test_Tensor_clip_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2709659Z   test_Tensor_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2709975Z   test_Tensor_coalesce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2710376Z   test_Tensor_col_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2710757Z   test_Tensor_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2711081Z   test_Tensor_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2711422Z   test_Tensor_conj_physical_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2711762Z   test_Tensor_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2712086Z   test_Tensor_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2712407Z   test_Tensor_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2712732Z   test_Tensor_copysign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2713061Z   test_Tensor_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2713384Z   test_Tensor_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2713703Z   test_Tensor_cos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2714015Z   test_Tensor_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2714333Z   test_Tensor_cosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2714661Z   test_Tensor_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2714981Z   test_Tensor_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2715296Z   test_Tensor_cpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2715615Z   test_Tensor_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2715935Z   test_Tensor_crow_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2716263Z   test_Tensor_cuda (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2716586Z   test_Tensor_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2716909Z   test_Tensor_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2717229Z   test_Tensor_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2717555Z   test_Tensor_cumprod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2717877Z   test_Tensor_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2718192Z   test_Tensor_cumsum_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2718520Z   test_Tensor_data_ptr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2718844Z   test_Tensor_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2719169Z   test_Tensor_deg2rad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2719486Z   test_Tensor_dense_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2719817Z   test_Tensor_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2720142Z   test_Tensor_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2720455Z   test_Tensor_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2720776Z   test_Tensor_detach_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2721095Z   test_Tensor_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2721457Z   test_Tensor_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2721781Z   test_Tensor_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2722107Z   test_Tensor_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2722442Z   test_Tensor_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2722768Z   test_Tensor_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2723089Z   test_Tensor_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2723436Z   test_Tensor_digamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2723753Z   test_Tensor_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2724063Z   test_Tensor_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2724380Z   test_Tensor_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2724697Z   test_Tensor_div_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2725006Z   test_Tensor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2725330Z   test_Tensor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2725656Z   test_Tensor_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2725966Z   test_Tensor_double (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2726288Z   test_Tensor_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2726614Z   test_Tensor_element_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2726944Z   test_Tensor_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2727253Z   test_Tensor_eq_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2727570Z   test_Tensor_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2727893Z   test_Tensor_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2728200Z   test_Tensor_erf_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2728515Z   test_Tensor_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2728837Z   test_Tensor_erfc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2729158Z   test_Tensor_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2729474Z   test_Tensor_erfinv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2729794Z   test_Tensor_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2730113Z   test_Tensor_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2730424Z   test_Tensor_exp2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2730740Z   test_Tensor_exp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2731065Z   test_Tensor_expand (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2731393Z   test_Tensor_expand_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2731714Z   test_Tensor_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2732032Z   test_Tensor_expm1_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2732359Z   test_Tensor_exponential_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2732676Z   test_Tensor_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2733030Z   test_Tensor_fill_diagonal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2733383Z   test_Tensor_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2733691Z   test_Tensor_fix_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2734013Z   test_Tensor_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2734371Z   test_Tensor_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2734692Z   test_Tensor_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2735006Z   test_Tensor_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2735324Z   test_Tensor_float (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2735654Z   test_Tensor_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2735982Z   test_Tensor_float_power_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2736337Z   test_Tensor_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2736654Z   test_Tensor_floor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2736975Z   test_Tensor_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2737310Z   test_Tensor_floor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2737637Z   test_Tensor_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2737953Z   test_Tensor_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2738259Z   test_Tensor_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2738577Z   test_Tensor_fmod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2738996Z   test_Tensor_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2739313Z   test_Tensor_frac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2739630Z   test_Tensor_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2739955Z   test_Tensor_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2740277Z   test_Tensor_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2740586Z   test_Tensor_gcd_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2740907Z   test_Tensor_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2741228Z   test_Tensor_ge_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2741548Z   test_Tensor_geometric_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2741873Z   test_Tensor_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2742189Z   test_Tensor_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2742512Z   test_Tensor_get_device (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2742840Z   test_Tensor_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2743173Z   test_Tensor_greater_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2743508Z   test_Tensor_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2743843Z   test_Tensor_greater_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2744175Z   test_Tensor_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2744493Z   test_Tensor_gt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2744810Z   test_Tensor_half (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2745129Z   test_Tensor_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2745463Z   test_Tensor_has_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2745793Z   test_Tensor_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2746117Z   test_Tensor_heaviside_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2746444Z   test_Tensor_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2746773Z   test_Tensor_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2747140Z   test_Tensor_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2747458Z   test_Tensor_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2747781Z   test_Tensor_hypot_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2748099Z   test_Tensor_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2748404Z   test_Tensor_i0_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2748725Z   test_Tensor_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2749051Z   test_Tensor_igamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2749410Z   test_Tensor_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2749729Z   test_Tensor_igammac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2750061Z   test_Tensor_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2750472Z   test_Tensor_index_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2750803Z   test_Tensor_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2751137Z   test_Tensor_index_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2751471Z   test_Tensor_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2751793Z   test_Tensor_index_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2752126Z   test_Tensor_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2752458Z   test_Tensor_index_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2752798Z   test_Tensor_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2753130Z   test_Tensor_index_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2753463Z   test_Tensor_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2753796Z   test_Tensor_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2754111Z   test_Tensor_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2754429Z   test_Tensor_int (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2754749Z   test_Tensor_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2755075Z   test_Tensor_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2755390Z   test_Tensor_ipu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2755720Z   test_Tensor_is_coalesced (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2756053Z   test_Tensor_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2756373Z   test_Tensor_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2756709Z   test_Tensor_is_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2757054Z   test_Tensor_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2757405Z   test_Tensor_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2757741Z   test_Tensor_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2758071Z   test_Tensor_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2758398Z   test_Tensor_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2758718Z   test_Tensor_is_pinned (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2759056Z   test_Tensor_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2759391Z   test_Tensor_is_set_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2759722Z   test_Tensor_is_shared (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2760072Z   test_Tensor_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2760400Z   test_Tensor_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2760727Z   test_Tensor_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2761042Z   test_Tensor_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2761363Z   test_Tensor_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2761683Z   test_Tensor_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2762015Z   test_Tensor_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2762370Z   test_Tensor_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2762694Z   test_Tensor_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2763014Z   test_Tensor_item (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2763329Z   test_Tensor_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2763649Z   test_Tensor_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2763968Z   test_Tensor_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2764275Z   test_Tensor_lcm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2764596Z   test_Tensor_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2764919Z   test_Tensor_ldexp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2765237Z   test_Tensor_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2765547Z   test_Tensor_le_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2765861Z   test_Tensor_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2766179Z   test_Tensor_lerp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2766493Z   test_Tensor_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2766810Z   test_Tensor_less_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2767138Z   test_Tensor_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2767468Z   test_Tensor_less_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2767790Z   test_Tensor_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2768114Z   test_Tensor_lgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2768436Z   test_Tensor_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2768752Z   test_Tensor_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2769068Z   test_Tensor_log10_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2769392Z   test_Tensor_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2769713Z   test_Tensor_log1p_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2770023Z   test_Tensor_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2770340Z   test_Tensor_log2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2770657Z   test_Tensor_log_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2770981Z   test_Tensor_log_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2771313Z   test_Tensor_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2771648Z   test_Tensor_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2771977Z   test_Tensor_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2772317Z   test_Tensor_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2772649Z   test_Tensor_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2773008Z   test_Tensor_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2773340Z   test_Tensor_logical_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2773675Z   test_Tensor_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2774008Z   test_Tensor_logical_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2774330Z   test_Tensor_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2774664Z   test_Tensor_logical_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2775019Z   test_Tensor_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2775348Z   test_Tensor_logical_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2775664Z   test_Tensor_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2775988Z   test_Tensor_logit_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2776315Z   test_Tensor_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2776634Z   test_Tensor_long (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2776951Z   test_Tensor_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2777265Z   test_Tensor_lt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2777581Z   test_Tensor_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2777895Z   test_Tensor_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2778226Z   test_Tensor_map2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2778542Z   test_Tensor_map_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2778961Z   test_Tensor_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2779299Z   test_Tensor_masked_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2779639Z   test_Tensor_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2779984Z   test_Tensor_masked_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2780317Z   test_Tensor_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2780644Z   test_Tensor_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2780978Z   test_Tensor_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2781304Z   test_Tensor_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2781633Z   test_Tensor_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2781953Z   test_Tensor_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2782275Z   test_Tensor_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2782593Z   test_Tensor_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2782914Z   test_Tensor_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2783234Z   test_Tensor_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2783545Z   test_Tensor_mm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2783867Z   test_Tensor_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2784187Z   test_Tensor_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2784506Z   test_Tensor_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2784832Z   test_Tensor_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2785150Z   test_Tensor_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2785464Z   test_Tensor_mul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2785831Z   test_Tensor_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2786165Z   test_Tensor_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2786497Z   test_Tensor_multiply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2786812Z   test_Tensor_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2787135Z   test_Tensor_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2787462Z   test_Tensor_mvlgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2787823Z   test_Tensor_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2788147Z   test_Tensor_nan_to_num_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2788478Z   test_Tensor_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2788813Z   test_Tensor_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2789142Z   test_Tensor_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2789475Z   test_Tensor_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2789795Z   test_Tensor_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2790125Z   test_Tensor_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2790534Z   test_Tensor_ndimension (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2790855Z   test_Tensor_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2791171Z   test_Tensor_ne_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2791477Z   test_Tensor_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2791794Z   test_Tensor_neg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2792121Z   test_Tensor_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2792452Z   test_Tensor_negative_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2792771Z   test_Tensor_nelement (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2793098Z   test_Tensor_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2793432Z   test_Tensor_nextafter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2793754Z   test_Tensor_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2794074Z   test_Tensor_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2794401Z   test_Tensor_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2794721Z   test_Tensor_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2795049Z   test_Tensor_not_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2795375Z   test_Tensor_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2795697Z   test_Tensor_numpy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2796011Z   test_Tensor_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2796334Z   test_Tensor_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2796650Z   test_Tensor_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2796967Z   test_Tensor_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2797298Z   test_Tensor_pin_memory (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2797629Z   test_Tensor_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2797959Z   test_Tensor_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2798288Z   test_Tensor_polygamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2798647Z   test_Tensor_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2798972Z   test_Tensor_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2799284Z   test_Tensor_pow_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2799604Z   test_Tensor_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2799923Z   test_Tensor_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2800243Z   test_Tensor_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2800555Z   test_Tensor_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2800917Z   test_Tensor_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2801272Z   test_Tensor_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2801622Z   test_Tensor_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2801968Z   test_Tensor_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2802298Z   test_Tensor_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2802622Z   test_Tensor_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2802936Z   test_Tensor_qscheme (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2803261Z   test_Tensor_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2803588Z   test_Tensor_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2803905Z   test_Tensor_rad2deg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2804230Z   test_Tensor_random_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2804556Z   test_Tensor_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2804882Z   test_Tensor_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2805221Z   test_Tensor_reciprocal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2805562Z   test_Tensor_record_stream (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2805900Z   test_Tensor_refine_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2806232Z   test_Tensor_register_hook (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2806562Z   test_Tensor_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2806880Z   test_Tensor_relu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2807203Z   test_Tensor_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2807536Z   test_Tensor_remainder_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2807864Z   test_Tensor_rename (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2808192Z   test_Tensor_rename_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2808510Z   test_Tensor_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2808833Z   test_Tensor_renorm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2809153Z   test_Tensor_repeat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2809482Z   test_Tensor_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2809831Z   test_Tensor_requires_grad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2810164Z   test_Tensor_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2810498Z   test_Tensor_reshape_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2810816Z   test_Tensor_resize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2811136Z   test_Tensor_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2811495Z   test_Tensor_resize_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2811817Z   test_Tensor_resize_as_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2812157Z   test_Tensor_resize_as_sparse_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2812500Z   test_Tensor_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2812833Z   test_Tensor_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2813380Z   test_Tensor_retain_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2813733Z   test_Tensor_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2814052Z   test_Tensor_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2814366Z   test_Tensor_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2814694Z   test_Tensor_round_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2815019Z   test_Tensor_row_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2815344Z   test_Tensor_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2815653Z   test_Tensor_rsqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2815971Z   test_Tensor_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2816297Z   test_Tensor_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2816620Z   test_Tensor_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2816958Z   test_Tensor_scatter_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2817299Z   test_Tensor_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2817643Z   test_Tensor_scatter_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2817970Z   test_Tensor_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2818297Z   test_Tensor_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2818625Z   test_Tensor_set_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2819041Z   test_Tensor_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2819363Z   test_Tensor_sgn_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2819695Z   test_Tensor_share_memory_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2820025Z   test_Tensor_short (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2820352Z   test_Tensor_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2820681Z   test_Tensor_sigmoid_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2821000Z   test_Tensor_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2821314Z   test_Tensor_sign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2821636Z   test_Tensor_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2821955Z   test_Tensor_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2822263Z   test_Tensor_sin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2822580Z   test_Tensor_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2822901Z   test_Tensor_sinc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2823216Z   test_Tensor_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2823525Z   test_Tensor_sinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2823843Z   test_Tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2824171Z   test_Tensor_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2824542Z   test_Tensor_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2824865Z   test_Tensor_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2825191Z   test_Tensor_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2825512Z   test_Tensor_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2825831Z   test_Tensor_sparse_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2826163Z   test_Tensor_sparse_mask (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2826500Z   test_Tensor_sparse_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2826874Z   test_Tensor_sparse_resize_and_clear_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2827214Z   test_Tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2827554Z   test_Tensor_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2827884Z   test_Tensor_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2828190Z   test_Tensor_sqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2828508Z   test_Tensor_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2828833Z   test_Tensor_square_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2829152Z   test_Tensor_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2829476Z   test_Tensor_squeeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2829809Z   test_Tensor_sspaddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2830129Z   test_Tensor_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2830546Z   test_Tensor_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2830894Z   test_Tensor_storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2831230Z   test_Tensor_storage_offset (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2831559Z   test_Tensor_storage_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2831886Z   test_Tensor_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2832200Z   test_Tensor_sub_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2832519Z   test_Tensor_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2832840Z   test_Tensor_subtract_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2833165Z   test_Tensor_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2833485Z   test_Tensor_sum_to_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2833798Z   test_Tensor_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2834119Z   test_Tensor_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2834450Z   test_Tensor_swapaxes_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2834769Z   test_Tensor_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2835094Z   test_Tensor_swapdims_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2835421Z   test_Tensor_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2835737Z   test_Tensor_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2836045Z   test_Tensor_t_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2836363Z   test_Tensor_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2836692Z   test_Tensor_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2837011Z   test_Tensor_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2837356Z   test_Tensor_tan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2837672Z   test_Tensor_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2837989Z   test_Tensor_tanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2838310Z   test_Tensor_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2838634Z   test_Tensor_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2838950Z   test_Tensor_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2839261Z   test_Tensor_to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2839611Z   test_Tensor_to_mkldnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2839940Z   test_Tensor_to_sparse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2840263Z   test_Tensor_tolist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2840575Z   test_Tensor_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2840892Z   test_Tensor_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2841216Z   test_Tensor_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2841541Z   test_Tensor_transpose_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2841888Z   test_Tensor_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2842224Z   test_Tensor_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2842532Z   test_Tensor_tril_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2842851Z   test_Tensor_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2843167Z   test_Tensor_triu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2843496Z   test_Tensor_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2843823Z   test_Tensor_true_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2844145Z   test_Tensor_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2844464Z   test_Tensor_trunc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2844773Z   test_Tensor_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2845093Z   test_Tensor_type_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2845416Z   test_Tensor_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2845739Z   test_Tensor_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2846057Z   test_Tensor_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2846379Z   test_Tensor_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2846713Z   test_Tensor_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2847051Z   test_Tensor_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2847382Z   test_Tensor_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2847728Z   test_Tensor_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2848069Z   test_Tensor_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2848392Z   test_Tensor_unsqueeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2848722Z   test_Tensor_values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2849041Z   test_Tensor_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2849351Z   test_Tensor_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2849665Z   test_Tensor_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2850019Z   test_Tensor_view_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2850345Z   test_Tensor_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2850654Z   test_Tensor_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2850974Z   test_Tensor_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2851292Z   test_Tensor_xlogy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2851600Z   test_Tensor_xpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2851916Z   test_Tensor_zero_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2852286Z   test__TensorBase_H___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2852616Z   test__TensorBase_T___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2852965Z   test__TensorBase__backward_hooks___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2853322Z   test__TensorBase__base___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2853670Z   test__TensorBase__cdata___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2854004Z   test__TensorBase__grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2854350Z   test__TensorBase__grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2854693Z   test__TensorBase__version___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2855042Z   test__TensorBase_data___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2855379Z   test__TensorBase_device___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2855724Z   test__TensorBase_dtype___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2856062Z   test__TensorBase_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2856398Z   test__TensorBase_grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2856742Z   test__TensorBase_imag___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2857075Z   test__TensorBase_is_cpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2857421Z   test__TensorBase_is_cuda___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2857756Z   test__TensorBase_is_ipu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2858104Z   test__TensorBase_is_leaf___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2858451Z   test__TensorBase_is_meta___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2858887Z   test__TensorBase_is_mkldnn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2859238Z   test__TensorBase_is_mps___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2859583Z   test__TensorBase_is_nested___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2859929Z   test__TensorBase_is_ort___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2860270Z   test__TensorBase_is_quantized___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2860623Z   test__TensorBase_is_sparse___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2860976Z   test__TensorBase_is_sparse_csr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2861326Z   test__TensorBase_is_vulkan___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2861672Z   test__TensorBase_is_xpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2862014Z   test__TensorBase_layout___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2862403Z   test__TensorBase_mH___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2862761Z   test__TensorBase_mT___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2863123Z   test__TensorBase_name___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2863460Z   test__TensorBase_names___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2863787Z   test__TensorBase_ndim___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2864128Z   test__TensorBase_output_nr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2864506Z   test__TensorBase_real___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2864856Z   test__TensorBase_requires_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2865205Z   test__TensorBase_retains_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2865562Z   test__TensorBase_shape___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2865913Z   test__TensorBase_volatile___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2866245Z   test_base (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2866546Z   test_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2866875Z   test_has_torch_function_non_sequence (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2867204Z   test_mean_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:58:09.2867505Z Test that a function with one argument can be overrided ... ok (0.001s)
2022-11-23T01:58:09.2867806Z   test_mm_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:58:09.2868116Z Test that a function with multiple arguments can be overrided ... ok (0.002s)
2022-11-23T01:58:09.2868427Z   test_pow_rpow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2868746Z   test_precedence_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:58:09.2869064Z Test semantics for __torch_function__ for functions that take ... ok (0.003s)
2022-11-23T01:58:09.2869386Z   test_tensor_subclass_propagation (__main__.TestTorchFunctionOverride)
2022-11-23T01:58:09.2869695Z this test exercises the functionality described in ... ok (0.002s)
2022-11-23T01:58:09.2870016Z   test_torch__C__fft_fft_fft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2870419Z   test_torch__C__fft_fft_fft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2870746Z   test_torch__C__fft_fft_fftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2871092Z   test_torch__C__fft_fft_fftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2871430Z   test_torch__C__fft_fft_hfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2871764Z   test_torch__C__fft_fft_hfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2872091Z   test_torch__C__fft_fft_hfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2872423Z   test_torch__C__fft_fft_ifft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2872759Z   test_torch__C__fft_fft_ifft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2873078Z   test_torch__C__fft_fft_ifftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2873420Z   test_torch__C__fft_fft_ifftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2873759Z   test_torch__C__fft_fft_ihfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2874092Z   test_torch__C__fft_fft_ihfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2874420Z   test_torch__C__fft_fft_ihfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2874761Z   test_torch__C__fft_fft_irfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2875133Z   test_torch__C__fft_fft_irfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2875460Z   test_torch__C__fft_fft_irfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2875797Z   test_torch__C__fft_fft_rfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2876130Z   test_torch__C__fft_fft_rfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2876459Z   test_torch__C__fft_fft_rfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2876796Z   test_torch__C__linalg_linalg_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2877188Z   test_torch__C__linalg_linalg_cholesky_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2877548Z   test_torch__C__linalg_linalg_cond (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2877894Z   test_torch__C__linalg_linalg_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2878247Z   test_torch__C__linalg_linalg_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2878608Z   test_torch__C__linalg_linalg_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2878963Z   test_torch__C__linalg_linalg_eig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2879305Z   test_torch__C__linalg_linalg_eigh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2879658Z   test_torch__C__linalg_linalg_eigvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2880020Z   test_torch__C__linalg_linalg_eigvalsh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2880394Z   test_torch__C__linalg_linalg_householder_product (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2880752Z   test_torch__C__linalg_linalg_inv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2881297Z   test_torch__C__linalg_linalg_inv_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2881659Z   test_torch__C__linalg_linalg_ldl_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2882025Z   test_torch__C__linalg_linalg_ldl_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2882391Z   test_torch__C__linalg_linalg_ldl_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2882751Z   test_torch__C__linalg_linalg_lstsq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2883102Z   test_torch__C__linalg_linalg_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2883501Z   test_torch__C__linalg_linalg_lu_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2883874Z   test_torch__C__linalg_linalg_lu_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2884243Z   test_torch__C__linalg_linalg_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2884606Z   test_torch__C__linalg_linalg_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2884961Z   test_torch__C__linalg_linalg_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2885323Z   test_torch__C__linalg_linalg_matrix_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2886397Z   test_torch__C__linalg_linalg_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2886806Z   test_torch__C__linalg_linalg_matrix_rank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2887175Z   test_torch__C__linalg_linalg_multi_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2887582Z   test_torch__C__linalg_linalg_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2887941Z   test_torch__C__linalg_linalg_pinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2888327Z   test_torch__C__linalg_linalg_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2888697Z   test_torch__C__linalg_linalg_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2889054Z   test_torch__C__linalg_linalg_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2889409Z   test_torch__C__linalg_linalg_solve_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2889774Z   test_torch__C__linalg_linalg_solve_triangular (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2890199Z   test_torch__C__linalg_linalg_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2890550Z   test_torch__C__linalg_linalg_svdvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2890909Z   test_torch__C__linalg_linalg_tensorinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2891263Z   test_torch__C__linalg_linalg_tensorsolve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2891621Z   test_torch__C__linalg_linalg_vander (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2891974Z   test_torch__C__linalg_linalg_vecdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2892319Z   test_torch__C__linalg_linalg_vector_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2892690Z   test_torch__C__nn_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2893057Z   test_torch__C__nn_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2893393Z   test_torch__C__nn_gelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2893713Z   test_torch__C__nn_linear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2894051Z   test_torch__C__nn_log_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2894389Z   test_torch__C__nn_one_hot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2894719Z   test_torch__C__nn_softplus (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2895059Z   test_torch__C__nn_softshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2895412Z   test_torch__C__special_special_airy_ai (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2895777Z   test_torch__C__special_special_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2896132Z   test_torch__C__special_special_bessel_j1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2896492Z   test_torch__C__special_special_bessel_y0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2896851Z   test_torch__C__special_special_bessel_y1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2897237Z   test_torch__C__special_special_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2897629Z   test_torch__C__special_special_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2898020Z   test_torch__C__special_special_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2898404Z   test_torch__C__special_special_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2898767Z   test_torch__C__special_special_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2899240Z   test_torch__C__special_special_entr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2899598Z   test_torch__C__special_special_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2899951Z   test_torch__C__special_special_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2900355Z   test_torch__C__special_special_erfcx (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2900713Z   test_torch__C__special_special_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2901067Z   test_torch__C__special_special_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2901414Z   test_torch__C__special_special_expit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2901767Z   test_torch__C__special_special_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2902131Z   test_torch__C__special_special_gammainc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2902589Z   test_torch__C__special_special_gammaincc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2902948Z   test_torch__C__special_special_gammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2903375Z   test_torch__C__special_special_hermite_polynomial_h (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2903857Z   test_torch__C__special_special_hermite_polynomial_he (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2904228Z   test_torch__C__special_special_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2904608Z   test_torch__C__special_special_i0e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2904958Z   test_torch__C__special_special_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2905308Z   test_torch__C__special_special_i1e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2905673Z   test_torch__C__special_special_laguerre_polynomial_l (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2906070Z   test_torch__C__special_special_legendre_polynomial_p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2906447Z   test_torch__C__special_special_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2906807Z   test_torch__C__special_special_log_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2907163Z   test_torch__C__special_special_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2907524Z   test_torch__C__special_special_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2907886Z   test_torch__C__special_special_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2908263Z   test_torch__C__special_special_modified_bessel_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2908638Z   test_torch__C__special_special_modified_bessel_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2909017Z   test_torch__C__special_special_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2909397Z   test_torch__C__special_special_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2909767Z   test_torch__C__special_special_multigammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2910131Z   test_torch__C__special_special_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2910577Z   test_torch__C__special_special_ndtri (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2910969Z   test_torch__C__special_special_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2911318Z   test_torch__C__special_special_psi (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2911672Z   test_torch__C__special_special_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2912054Z   test_torch__C__special_special_scaled_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2912454Z   test_torch__C__special_special_scaled_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2912893Z   test_torch__C__special_special_shifted_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2913299Z   test_torch__C__special_special_shifted_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2913703Z   test_torch__C__special_special_shifted_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2914105Z   test_torch__C__special_special_shifted_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2914474Z   test_torch__C__special_special_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2914857Z   test_torch__C__special_special_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2915241Z   test_torch__C__special_special_spherical_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2915611Z   test_torch__C__special_special_xlog1py (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2915968Z   test_torch__C__special_special_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2916324Z   test_torch__C__special_special_zeta (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2916667Z   test_torch__assert_async (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2916992Z   test_torch__conj_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2917328Z   test_torch__fw_primal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2917669Z   test_torch__indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2918002Z   test_torch__lobpcg_lobpcg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2918350Z   test_torch__lowrank_pca_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2918703Z   test_torch__lowrank_svd_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2919046Z   test_torch__make_dual_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2919376Z   test_torch__neg_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2919717Z   test_torch__reshape_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2920144Z   test_torch__rowwise_prune (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2920551Z   test_torch__sparse_broadcast_to_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2920935Z   test_torch__values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2921285Z   test_torch_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2921630Z   test_torch_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2921971Z   test_torch_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2922314Z   test_torch_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2922684Z   test_torch_adaptive_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2923054Z   test_torch_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2923406Z   test_torch_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2923750Z   test_torch_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2924101Z   test_torch_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2924447Z   test_torch_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2924790Z   test_torch_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2925135Z   test_torch_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2925501Z   test_torch_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2925843Z   test_torch_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2926213Z   test_torch_affine_grid_generator (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2926587Z   test_torch_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2926928Z   test_torch_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2927273Z   test_torch_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2927637Z   test_torch_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2928014Z   test_torch_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2928353Z   test_torch_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2928696Z   test_torch_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2929038Z   test_torch_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2929377Z   test_torch_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2929719Z   test_torch_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2930067Z   test_torch_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2930410Z   test_torch_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2930755Z   test_torch_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2931103Z   test_torch_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2931441Z   test_torch_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2931783Z   test_torch_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2932123Z   test_torch_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2932469Z   test_torch_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2932809Z   test_torch_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2933162Z   test_torch_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2933524Z   test_torch_as_strided_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2933889Z   test_torch_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2934246Z   test_torch_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2934588Z   test_torch_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2934934Z   test_torch_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2935265Z   test_torch_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2935605Z   test_torch_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2935959Z   test_torch_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2936305Z   test_torch_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2936655Z   test_torch_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2937029Z   test_torch_batch_norm_backward_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2937423Z   test_torch_batch_norm_backward_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2937796Z   test_torch_batch_norm_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2938177Z   test_torch_batch_norm_gather_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2938579Z   test_torch_batch_norm_gather_stats_with_counts (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2939048Z   test_torch_batch_norm_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2939448Z   test_torch_batch_norm_update_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2939789Z   test_torch_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2940117Z   test_torch_bilinear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2940461Z   test_torch_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2940806Z   test_torch_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2941128Z   test_torch_binomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2941491Z   test_torch_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2941830Z   test_torch_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2942164Z   test_torch_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2942490Z   test_torch_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2942821Z   test_torch_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2943156Z   test_torch_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2943476Z   test_torch_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2943795Z   test_torch_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2944126Z   test_torch_bucketize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2944446Z   test_torch_cat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2944783Z   test_torch_ccol_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2945105Z   test_torch_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2945418Z   test_torch_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2945749Z   test_torch_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2946072Z   test_torch_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2946405Z   test_torch_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2946742Z   test_torch_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2947091Z   test_torch_choose_qparams_optimized (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2947426Z   test_torch_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2947744Z   test_torch_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2948076Z   test_torch_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2948395Z   test_torch_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2948716Z   test_torch_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2949034Z   test_torch_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2949358Z   test_torch_col_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2949698Z   test_torch_column_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2950029Z   test_torch_combinations (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2950431Z   test_torch_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2950749Z   test_torch_concat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2951082Z   test_torch_concatenate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2951407Z   test_torch_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2951727Z   test_torch_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2952101Z   test_torch_constant_pad_nd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2952434Z   test_torch_conv1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2952756Z   test_torch_conv2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2953067Z   test_torch_conv3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2953385Z   test_torch_conv_tbc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2953720Z   test_torch_conv_transpose1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2954053Z   test_torch_conv_transpose2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2954424Z   test_torch_conv_transpose3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2954759Z   test_torch_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2955093Z   test_torch_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2955414Z   test_torch_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2955732Z   test_torch_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2956047Z   test_torch_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2956375Z   test_torch_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2956725Z   test_torch_cosine_similarity (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2957063Z   test_torch_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2957384Z   test_torch_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2957692Z   test_torch_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2958026Z   test_torch_crow_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2958362Z   test_torch_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2958679Z   test_torch_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2958995Z   test_torch_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2959316Z   test_torch_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2959640Z   test_torch_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2959967Z   test_torch_cumulative_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2960307Z   test_torch_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2960639Z   test_torch_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2960954Z   test_torch_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2961272Z   test_torch_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2961601Z   test_torch_detach_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2961920Z   test_torch_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2962244Z   test_torch_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2962577Z   test_torch_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2962905Z   test_torch_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2963226Z   test_torch_diagonal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2963571Z   test_torch_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2963905Z   test_torch_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2964216Z   test_torch_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2964537Z   test_torch_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2964928Z   test_torch_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2965242Z   test_torch_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2965548Z   test_torch_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2965863Z   test_torch_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2966182Z   test_torch_dsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2966493Z   test_torch_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2966810Z   test_torch_dstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2967155Z   test_torch_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2967491Z   test_torch_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2967814Z   test_torch_empty_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2968137Z   test_torch_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2968449Z   test_torch_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2968755Z   test_torch_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2969069Z   test_torch_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2969383Z   test_torch_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2969694Z   test_torch_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2970006Z   test_torch_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2970337Z   test_torch_expand_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2970661Z   test_torch_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2971000Z   test_torch_fake_quantize_per_channel_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2971375Z   test_torch_fake_quantize_per_tensor_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2971742Z   test_torch_fbgemm_linear_fp16_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2972124Z   test_torch_fbgemm_linear_fp16_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2972487Z   test_torch_fbgemm_linear_int8_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2972859Z   test_torch_fbgemm_linear_int8_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2973232Z   test_torch_fbgemm_linear_quantize_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2973594Z   test_torch_fbgemm_pack_gemm_matrix_fp16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2973966Z   test_torch_fbgemm_pack_quantized_matrix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2974330Z   test_torch_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2974676Z   test_torch_feature_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2974994Z   test_torch_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2975314Z   test_torch_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2975637Z   test_torch_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2975947Z   test_torch_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2976273Z   test_torch_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2976605Z   test_torch_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2976930Z   test_torch_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2977246Z   test_torch_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2977604Z   test_torch_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2977919Z   test_torch_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2978225Z   test_torch_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2978538Z   test_torch_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2978947Z   test_torch_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2979279Z   test_torch_frobenius_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2979603Z   test_torch_full_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2979995Z   test_torch_functional_atleast_1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2980349Z   test_torch_functional_atleast_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2980690Z   test_torch_functional_atleast_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2981042Z   test_torch_functional_block_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2981401Z   test_torch_functional_broadcast_tensors (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2981764Z   test_torch_functional_cartesian_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2982110Z   test_torch_functional_cdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2982456Z   test_torch_functional_chain_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2982801Z   test_torch_functional_einsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2983135Z   test_torch_functional_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2983474Z   test_torch_functional_meshgrid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2983821Z   test_torch_functional_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2984167Z   test_torch_functional_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2984498Z   test_torch_functional_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2984843Z   test_torch_functional_tensordot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2985186Z   test_torch_functional_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2985536Z   test_torch_functional_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2985906Z   test_torch_fused_moving_avg_obs_fake_quant (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2986255Z   test_torch_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2986572Z   test_torch_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2986878Z   test_torch_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2987194Z   test_torch_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2987510Z   test_torch_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2987825Z   test_torch_gradient (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2988148Z   test_torch_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2988476Z   test_torch_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2988814Z   test_torch_grid_sampler (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2989146Z   test_torch_grid_sampler_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2989483Z   test_torch_grid_sampler_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2989818Z   test_torch_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2990171Z   test_torch_gru (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2990586Z   test_torch_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2990907Z   test_torch_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2991233Z   test_torch_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2991557Z   test_torch_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2991895Z   test_torch_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2992229Z   test_torch_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2992572Z   test_torch_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2992956Z   test_torch_histogramdd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2993282Z   test_torch_hsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2993598Z   test_torch_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2993920Z   test_torch_hstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2994240Z   test_torch_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2994553Z   test_torch_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2994860Z   test_torch_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2995186Z   test_torch_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2995507Z   test_torch_imag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2995829Z   test_torch_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2996158Z   test_torch_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2996488Z   test_torch_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2996813Z   test_torch_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2997133Z   test_torch_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2997464Z   test_torch_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2997797Z   test_torch_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2998118Z   test_torch_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2998444Z   test_torch_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2998771Z   test_torch_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2999094Z   test_torch_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2999413Z   test_torch_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.2999738Z   test_torch_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3000070Z   test_torch_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3000406Z   test_torch_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3000744Z   test_torch_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3001068Z   test_torch_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3001388Z   test_torch_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3001706Z   test_torch_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3002031Z   test_torch_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3002352Z   test_torch_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3002666Z   test_torch_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3002986Z   test_torch_isin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3003336Z   test_torch_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3003648Z   test_torch_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3003975Z   test_torch_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3004298Z   test_torch_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3004617Z   test_torch_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3004926Z   test_torch_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3005269Z   test_torch_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3005590Z   test_torch_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3005903Z   test_torch_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3006231Z   test_torch_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3006554Z   test_torch_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3006871Z   test_torch_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3007177Z   test_torch_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3007495Z   test_torch_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3007810Z   test_torch_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3008121Z   test_torch_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3008449Z   test_torch_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3008764Z   test_torch_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3009083Z   test_torch_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3009388Z   test_torch_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3009709Z   test_torch_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3010032Z   test_torch_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3010355Z   test_torch_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3010695Z   test_torch_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3011032Z   test_torch_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3011352Z   test_torch_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3011682Z   test_torch_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3012013Z   test_torch_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3012343Z   test_torch_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3012663Z   test_torch_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3012984Z   test_torch_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3013307Z   test_torch_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3013624Z   test_torch_lstm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3013944Z   test_torch_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3014266Z   test_torch_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3014585Z   test_torch_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3014905Z   test_torch_lu_unpack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3015247Z   test_torch_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3015589Z   test_torch_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3015942Z   test_torch_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3016285Z   test_torch_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3016613Z   test_torch_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3016940Z   test_torch_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3017262Z   test_torch_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3017586Z   test_torch_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3017907Z   test_torch_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3018264Z   test_torch_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3018610Z   test_torch_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3019026Z   test_torch_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3019349Z   test_torch_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3019658Z   test_torch_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3019982Z   test_torch_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3020300Z   test_torch_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3020609Z   test_torch_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3020944Z   test_torch_miopen_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3021293Z   test_torch_miopen_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3021652Z   test_torch_miopen_convolution_add_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3022003Z   test_torch_miopen_convolution_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3022374Z   test_torch_miopen_convolution_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3022748Z   test_torch_miopen_depthwise_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3023140Z   test_torch_miopen_rnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3023462Z   test_torch_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3023788Z   test_torch_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3024116Z   test_torch_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3024428Z   test_torch_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3024746Z   test_torch_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3025074Z   test_torch_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3025394Z   test_torch_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3025711Z   test_torch_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3026030Z   test_torch_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3026350Z   test_torch_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3026675Z   test_torch_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3027001Z   test_torch_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3027330Z   test_torch_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3027656Z   test_torch_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3027980Z   test_torch_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3028307Z   test_torch_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3028639Z   test_torch_native_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3029042Z   test_torch_native_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3029391Z   test_torch_native_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3029737Z   test_torch_native_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3030068Z   test_torch_native_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3030482Z   test_torch_native_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3030812Z   test_torch_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3031198Z   test_torch_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3031519Z   test_torch_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3031846Z   test_torch_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3032192Z   test_torch_nn_functional__threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3032558Z   test_torch_nn_functional_adaptive_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3032934Z   test_torch_nn_functional_adaptive_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3033319Z   test_torch_nn_functional_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3033700Z   test_torch_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3034089Z   test_torch_nn_functional_adaptive_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3034479Z   test_torch_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3034870Z   test_torch_nn_functional_adaptive_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3035254Z   test_torch_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3035634Z   test_torch_nn_functional_affine_grid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3035998Z   test_torch_nn_functional_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3036360Z   test_torch_nn_functional_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3036721Z   test_torch_nn_functional_binary_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3037118Z   test_torch_nn_functional_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3037484Z   test_torch_nn_functional_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3037850Z   test_torch_nn_functional_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3038216Z   test_torch_nn_functional_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3038576Z   test_torch_nn_functional_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3038930Z   test_torch_nn_functional_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3039278Z   test_torch_nn_functional_dropout1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3039633Z   test_torch_nn_functional_dropout2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3039986Z   test_torch_nn_functional_dropout3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3040340Z   test_torch_nn_functional_elu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3040680Z   test_torch_nn_functional_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3041065Z   test_torch_nn_functional_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3041440Z   test_torch_nn_functional_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3041798Z   test_torch_nn_functional_fold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3042163Z   test_torch_nn_functional_fractional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3042557Z   test_torch_nn_functional_fractional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3042951Z   test_torch_nn_functional_fractional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3043357Z   test_torch_nn_functional_fractional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3043742Z   test_torch_nn_functional_gaussian_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3044101Z   test_torch_nn_functional_glu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3044452Z   test_torch_nn_functional_grid_sample (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3044801Z   test_torch_nn_functional_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3045161Z   test_torch_nn_functional_gumbel_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3045524Z   test_torch_nn_functional_hardtanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3045886Z   test_torch_nn_functional_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3046255Z   test_torch_nn_functional_huber_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3046611Z   test_torch_nn_functional_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3046972Z   test_torch_nn_functional_interpolate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3047319Z   test_torch_nn_functional_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3047669Z   test_torch_nn_functional_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3048019Z   test_torch_nn_functional_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3048367Z   test_torch_nn_functional_leaky_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3048730Z   test_torch_nn_functional_local_response_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3049093Z   test_torch_nn_functional_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3049453Z   test_torch_nn_functional_lp_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3049794Z   test_torch_nn_functional_lp_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3050158Z   test_torch_nn_functional_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3050524Z   test_torch_nn_functional_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3050892Z   test_torch_nn_functional_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3051253Z   test_torch_nn_functional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3051623Z   test_torch_nn_functional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3051992Z   test_torch_nn_functional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3052354Z   test_torch_nn_functional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3052723Z   test_torch_nn_functional_max_unpool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3053115Z   test_torch_nn_functional_max_unpool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3053472Z   test_torch_nn_functional_max_unpool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3053810Z   test_torch_nn_functional_mish (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3054162Z   test_torch_nn_functional_mse_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3054538Z   test_torch_nn_functional_multi_head_attention_forward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3054918Z   test_torch_nn_functional_multi_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3055309Z   test_torch_nn_functional_multilabel_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3055699Z   test_torch_nn_functional_multilabel_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3056071Z   test_torch_nn_functional_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3056416Z   test_torch_nn_functional_normalize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3056764Z   test_torch_nn_functional_pad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3057121Z   test_torch_nn_functional_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3057477Z   test_torch_nn_functional_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3057813Z   test_torch_nn_functional_relu6 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3058153Z   test_torch_nn_functional_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3058491Z   test_torch_nn_functional_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3058927Z   test_torch_nn_functional_silu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3059291Z   test_torch_nn_functional_smooth_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3059660Z   test_torch_nn_functional_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3060021Z   test_torch_nn_functional_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3060365Z   test_torch_nn_functional_softmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3060722Z   test_torch_nn_functional_softsign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3061079Z   test_torch_nn_functional_tanhshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3061444Z   test_torch_nn_functional_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3061839Z   test_torch_nn_functional_triplet_margin_with_distance_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3062219Z   test_torch_nn_functional_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3062566Z   test_torch_nn_init_constant_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3062904Z   test_torch_nn_init_kaiming_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3063246Z   test_torch_nn_init_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3063584Z   test_torch_nn_init_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3063913Z   test_torch_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3064236Z   test_torch_norm_except_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3064569Z   test_torch_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3064899Z   test_torch_nuclear_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3065219Z   test_torch_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3065592Z   test_torch_ones_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3065915Z   test_torch_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3066229Z   test_torch_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3066536Z   test_torch_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3066869Z   test_torch_pairwise_distance (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3067199Z   test_torch_pdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3067510Z   test_torch_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3067872Z   test_torch_permute_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3068206Z   test_torch_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3068528Z   test_torch_pixel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3068871Z   test_torch_pixel_unshuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3082516Z   test_torch_poisson (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3082867Z   test_torch_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3083195Z   test_torch_polar (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3083527Z   test_torch_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3083864Z   test_torch_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3084187Z   test_torch_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3084511Z   test_torch_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3084833Z   test_torch_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3085144Z   test_torch_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3085490Z   test_torch_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3085843Z   test_torch_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3086202Z   test_torch_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3086536Z   test_torch_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3086871Z   test_torch_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3087197Z   test_torch_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3087517Z   test_torch_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3087864Z   test_torch_quantize_per_channel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3088219Z   test_torch_quantize_per_tensor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3088581Z   test_torch_quantize_per_tensor_dynamic (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3088933Z   test_torch_quantized_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3089283Z   test_torch_quantized_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3089634Z   test_torch_quantized_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3089977Z   test_torch_quantized_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3090331Z   test_torch_quantized_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3090696Z   test_torch_quantized_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3091053Z   test_torch_quantized_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3091388Z   test_torch_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3091788Z   test_torch_rand_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3092126Z   test_torch_randint_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3092460Z   test_torch_randn_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3092781Z   test_torch_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3093101Z   test_torch_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3093430Z   test_torch_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3093778Z   test_torch_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3094105Z   test_torch_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3094436Z   test_torch_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3094770Z   test_torch_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3095113Z   test_torch_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3095449Z   test_torch_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3095787Z   test_torch_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3096111Z   test_torch_rnn_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3096444Z   test_torch_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3096774Z   test_torch_rnn_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3097102Z   test_torch_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3097429Z   test_torch_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3097745Z   test_torch_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3098070Z   test_torch_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3098398Z   test_torch_row_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3098736Z   test_torch_row_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3099192Z   test_torch_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3099498Z   test_torch_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3099820Z   test_torch_rsub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3100142Z   test_torch_saddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3100475Z   test_torch_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3100802Z   test_torch_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3101146Z   test_torch_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3101494Z   test_torch_searchsorted (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3101831Z   test_torch_segment_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3102162Z   test_torch_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3102493Z   test_torch_select_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3102832Z   test_torch_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3103157Z   test_torch_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3103476Z   test_torch_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3103799Z   test_torch_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3104117Z   test_torch_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3104438Z   test_torch_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3104819Z   test_torch_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3105130Z   test_torch_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3105444Z   test_torch_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3105773Z   test_torch_slice_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3106111Z   test_torch_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3106434Z   test_torch_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3106754Z   test_torch_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3107106Z   test_torch_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3107423Z   test_torch_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3107750Z   test_torch_split_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3108095Z   test_torch_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3108446Z   test_torch_split_with_sizes_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3108772Z   test_torch_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3109095Z   test_torch_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3109416Z   test_torch_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3109740Z   test_torch_squeeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3110075Z   test_torch_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3110482Z   test_torch_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3110819Z   test_torch_std_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3111131Z   test_torch_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3111461Z   test_torch_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3111783Z   test_torch_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3112086Z   test_torch_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3112410Z   test_torch_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3112740Z   test_torch_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3113057Z   test_torch_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3113376Z   test_torch_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3113697Z   test_torch_t_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3114014Z   test_torch_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3114341Z   test_torch_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3114671Z   test_torch_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3114987Z   test_torch_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3115307Z   test_torch_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3115643Z   test_torch_threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3115971Z   test_torch_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3116290Z   test_torch_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3116604Z   test_torch_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3116932Z   test_torch_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3117270Z   test_torch_transpose_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3117599Z   test_torch_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3117959Z   test_torch_trapz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3118302Z   test_torch_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3118634Z   test_torch_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3118965Z   test_torch_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3119299Z   test_torch_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3119618Z   test_torch_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3119968Z   test_torch_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3120289Z   test_torch_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3120612Z   test_torch_unbind_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3120951Z   test_torch_unflatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3121289Z   test_torch_unfold_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3121626Z   test_torch_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3121954Z   test_torch_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3122300Z   test_torch_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3122647Z   test_torch_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3122981Z   test_torch_unsqueeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3123325Z   test_torch_values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3123649Z   test_torch_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3123972Z   test_torch_var_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3124291Z   test_torch_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3124621Z   test_torch_view_as_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3124972Z   test_torch_view_as_complex_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3125308Z   test_torch_view_as_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3125651Z   test_torch_view_as_real_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3125991Z   test_torch_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3126323Z   test_torch_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3126639Z   test_torch_vstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3126961Z   test_torch_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3127282Z   test_torch_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3127606Z   test_torch_zeros_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:58:09.3127938Z   test_user_implementation_raises (__main__.TestTorchFunctionOverride)
2022-11-23T01:58:09.3128287Z Test that errors raised in user implementations propagate correctly ... ok (0.001s)
2022-11-23T01:58:09.3128631Z   test_warn_on_invalid_torch_function (__main__.TestTorchFunctionWarning) ... ok (0.007s)
2022-11-23T01:58:09.3128972Z   test_wrap_torch_function (__main__.TestWrapTorchFunction) ... ok (0.001s)
2022-11-23T01:58:09.3129154Z 
2022-11-23T01:58:09.3129472Z ----------------------------------------------------------------------
2022-11-23T01:58:09.3129741Z Ran 1415 tests in 2.083s
2022-11-23T01:58:09.3129868Z 
2022-11-23T01:58:09.3129931Z OK
2022-11-23T01:58:09.3130032Z 
2022-11-23T01:58:09.3130127Z Generating XML reports...
2022-11-23T01:58:09.3130596Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123015806.xml
2022-11-23T01:58:09.3131198Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123015806.xml
2022-11-23T01:58:09.3131751Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123015806.xml
2022-11-23T01:58:09.3132290Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123015806.xml
2022-11-23T01:58:09.3132837Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123015806.xml
2022-11-23T01:58:09.3133348Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123015806.xml
2022-11-23T01:58:09.3133865Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123015806.xml
2022-11-23T01:58:09.3134368Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123015806.xml
2022-11-23T01:58:09.3134870Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123015806.xml
2022-11-23T01:58:09.3135341Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123015806.xml
2022-11-23T01:58:09.3135837Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123015806.xml
2022-11-23T01:58:09.3136365Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123015806.xml
2022-11-23T01:58:09.3136921Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123015806.xml
2022-11-23T01:58:09.3137477Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123015806.xml
2022-11-23T01:58:09.3138023Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123015806.xml
2022-11-23T01:58:09.3138267Z 
2022-11-23T01:58:09.3138622Z ##[endgroup]
2022-11-23T01:58:09.3139136Z FINISHED PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_5x7rfgh0)
2022-11-23T01:58:09.3139361Z 
2022-11-23T01:58:09.3139537Z Running test_show_pickle ... [2022-11-23 01:58:09.262242]
2022-11-23T01:58:09.3140018Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:58:09.262451]
2022-11-23T01:58:12.0932859Z 
2022-11-23T01:58:12.0933338Z Expand the folded group to see the log file of test_show_pickle
2022-11-23T01:58:12.0934292Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_mikaflpd)
2022-11-23T01:58:12.0934635Z 
2022-11-23T01:58:12.0934747Z Running tests...
2022-11-23T01:58:12.0935284Z ----------------------------------------------------------------------
2022-11-23T01:58:12.0935808Z Test results will be stored in test-reports/python-unittest/test_show_pickle
2022-11-23T01:58:12.0936241Z   test_scripted_model (__main__.TestShowPickle) ... ok (1.099s)
2022-11-23T01:58:12.0936477Z 
2022-11-23T01:58:12.0936756Z ----------------------------------------------------------------------
2022-11-23T01:58:12.0937089Z Ran 1 test in 1.100s
2022-11-23T01:58:12.0937254Z 
2022-11-23T01:58:12.0937350Z OK
2022-11-23T01:58:12.0937483Z 
2022-11-23T01:58:12.0937620Z Generating XML reports...
2022-11-23T01:58:12.0938248Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123015810.xml
2022-11-23T01:58:12.0938572Z 
2022-11-23T01:58:12.0939226Z ##[endgroup]
2022-11-23T01:58:12.0939829Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_mikaflpd)
2022-11-23T01:58:12.0940170Z 
2022-11-23T01:58:12.0940386Z Running test_torch ... [2022-11-23 01:58:12.093073]
2022-11-23T01:58:12.0941045Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:58:12.093271]
2022-11-23T01:59:41.1721816Z 
2022-11-23T01:59:41.1723036Z Expand the folded group to see the log file of test_torch
2022-11-23T01:59:41.1723749Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_nkgs9mn3)
2022-11-23T01:59:41.1725336Z 
2022-11-23T01:59:41.1725685Z Running tests...
2022-11-23T01:59:41.1855859Z ----------------------------------------------------------------------
2022-11-23T01:59:41.1856261Z Test results will be stored in test-reports/python-unittest/test_torch
2022-11-23T01:59:41.1856583Z   test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T01:59:41.1857171Z   test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T01:59:41.1857626Z   test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.002s)
2022-11-23T01:59:41.1858029Z   test_advancedindex_mixed_cpu_devices_cuda (__main__.TestDevicePrecisionCUDA) ... [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:59:41.1858370Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T01:59:41.1858637Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:59:41.1859116Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T01:59:41.1859374Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T01:59:41.1859653Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:59:41.1859894Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T01:59:41.1860095Z ok (0.005s)
2022-11-23T01:59:41.1860382Z   test_advancedindex_mixed_devices_error_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.019s)
2022-11-23T01:59:41.1860728Z   test_clamp_cuda_float32 (__main__.TestDevicePrecisionCUDA) ... ok (0.014s)
2022-11-23T01:59:41.1861064Z   test_clamp_cuda_float64 (__main__.TestDevicePrecisionCUDA) ... ok (0.013s)
2022-11-23T01:59:41.1861388Z   test_clamp_cuda_int64 (__main__.TestDevicePrecisionCUDA) ... ok (0.009s)
2022-11-23T01:59:41.1861715Z   test_copy_broadcast_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1862041Z   test_copy_noncontig_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1862373Z   test_cuda_device_idx_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1862716Z   test_device_serialization_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1863057Z   test_from_sequence_cuda_float16 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1863396Z   test_from_sequence_cuda_float32 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1863740Z   test_from_sequence_cuda_float64 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1864082Z   test_from_sequence_cuda_int16 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1864409Z   test_from_sequence_cuda_int32 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1864742Z   test_from_sequence_cuda_int64 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1865081Z   test_from_sequence_cuda_int8 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1865406Z   test_from_sequence_cuda_uint8 (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1865738Z   test_index_add_bfloat16_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1866114Z   test_multidevice_serialization_cuda (__main__.TestDevicePrecisionCUDA) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T01:59:41.1866542Z   test_type_conversions_same_device_cuda (__main__.TestDevicePrecisionCUDA) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T01:59:41.1866873Z   test_RNGState (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1867145Z   test_RNGStateAliasing (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1867427Z   test_RNG_after_pickle (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1867673Z   test_Size (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1867925Z   test_Size_iter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1868248Z   test_Size_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1868519Z   test_add_meta_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1868796Z   test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.000s)
2022-11-23T01:59:41.1869071Z   test_apply (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1869323Z   test_as_subclass (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:59:41.1869576Z   test_assert_async (__main__.TestTorch) ... ok (0.018s)
2022-11-23T01:59:41.1869854Z   test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.063s)
2022-11-23T01:59:41.1870146Z   test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:59:41.1871090Z   test_bmm_multithreaded (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1871764Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1872421Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1873037Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1873694Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1874308Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1874961Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1875582Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1876228Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1876842Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1877522Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1878126Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1878784Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1879425Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1880085Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1880701Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1881347Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1881958Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1882614Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1883230Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1883892Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1884509Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1885158Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1885772Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1886428Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1887028Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1887673Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:59:41.1888315Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:59:41.1888509Z ok (0.599s)
2022-11-23T01:59:41.1888736Z   test_boxMullerState (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1889058Z   test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s)
2022-11-23T01:59:41.1889363Z   test_cat_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1889623Z   test_chunk_neg_dim (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:59:41.1889894Z   test_conj_neg_tolist (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1890159Z   test_contains (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1890426Z   test_copy_broadcast (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:59:41.1890692Z   test_copy_dtypes (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1890982Z   test_copy_float16 (__main__.TestTorch) ... ok (0.090s)
2022-11-23T01:59:41.1891277Z   test_copy_many_to_one (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:59:41.1891977Z   test_copy_transpose (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:59:41.1892475Z   x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t()
2022-11-23T01:59:41.1892721Z ok (0.003s)
2022-11-23T01:59:41.1893086Z   test_cuda_not_built (__main__.TestTorch) ... skip: CUDA is built, can't test CUDA not built error (0.001s)
2022-11-23T01:59:41.1893399Z   test_cummax_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1893676Z   test_cummin_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1893953Z   test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1894224Z   test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1894477Z   test_cxx_flags (__main__.TestTorch) ... ok (0.000s)
2022-11-23T01:59:41.1895242Z   test_dead_weak_ref (__main__.TestTorch) ... [W python_variable.cpp:318] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2022-11-23T01:59:41.1895736Z ok (0.003s)
2022-11-23T01:59:41.1895969Z   test_deepcopy_gradient (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1896249Z   test_deepcopy_parameter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1896533Z   test_deterministic_flag (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1896804Z   test_device (__main__.TestTorch) ... ok (0.015s)
2022-11-23T01:59:41.1897048Z   test_dir (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1897295Z   test_doc (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1897536Z   test_doc_template (__main__.TestTorch)
2022-11-23T01:59:41.1897832Z Test that all public API doc strings use the same standard template for ... ok (0.018s)
2022-11-23T01:59:41.1898193Z   test_dot_data_use (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:59:41.1898466Z   test_dtype_is_signed (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1899337Z   test_element_size (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.1899818Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.1900029Z ok (0.003s)
2022-11-23T01:59:41.1900307Z   test_empty_meta (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:59:41.1900573Z   test_empty_storage_view (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1900837Z   test_equal (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1901113Z   test_error_msg_type_translation (__main__.TestTorch) ... ok (0.011s)
2022-11-23T01:59:41.1901401Z   test_fill_diagonal (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1901668Z   test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1901940Z   test_from_buffer (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1902199Z   test_from_file (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1902460Z   test_gather_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1902729Z   test_generator_cpu (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1903004Z   test_has_internal_overlap (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1903271Z   test_has_storage (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1903532Z   test_index_add (__main__.TestTorch) ... ok (0.049s)
2022-11-23T01:59:41.1903804Z   test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.019s)
2022-11-23T01:59:41.1904078Z   test_index_add_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1904355Z   test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1904634Z   test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1904920Z   test_index_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1905202Z   test_invalid_generator_raises (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1905479Z   test_is_nonzero (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:59:41.1905982Z   test_is_same_size (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:5704: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:59:41.1906517Z   nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)])
2022-11-23T01:59:41.1906764Z ok (0.006s)
2022-11-23T01:59:41.1906978Z   test_iter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1907243Z   test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1907521Z   test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1907794Z   test_manual_seed (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1908048Z   test_map (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1908288Z   test_map2 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1908543Z   test_max_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1908807Z   test_mean_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1909071Z   test_median_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1909339Z   test_memory_format (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1909669Z   test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1909998Z   test_memory_format_empty (__main__.TestTorch) ... ok (0.009s)
2022-11-23T01:59:41.1910261Z   test_min_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1910564Z   test_mode_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1911050Z   test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1911424Z   test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1911697Z   test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1911955Z   test_ndim (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1912201Z   test_new (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:59:41.1912467Z   test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:59:41.1912825Z   test_newindex (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:59:41.1913088Z   test_norm_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1913344Z   test_normal_shape (__main__.TestTorch) ... ok (0.048s)
2022-11-23T01:59:41.1913602Z   test_numel (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1913865Z   test_parallel_info (__main__.TestTorch) ... ok (0.000s)
2022-11-23T01:59:41.1914128Z   test_parsing_double (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1914396Z   test_parsing_int64 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1914944Z   test_parsing_intlist (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:6185: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
2022-11-23T01:59:41.1915663Z Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2022-11-23T01:59:41.1916048Z   self.assertRaises(TypeError, lambda: torch.ones((np.float(3.), torch.tensor(4))))
2022-11-23T01:59:41.1916309Z ok (0.003s)
2022-11-23T01:59:41.1916524Z   test_permute (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1916782Z   test_pickle (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1917039Z   test_pickle_dtype (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1917315Z   test_pickle_function (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1917596Z   test_pickle_parameter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1917887Z   test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1918175Z   test_pickle_size (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1918439Z   test_pin_memory (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1919108Z   test_print (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.1919569Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.1919779Z ok (0.209s)
2022-11-23T01:59:41.1920005Z   test_prod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1920271Z   test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1920533Z   test_qengine (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1920800Z   test_renorm_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1921071Z   test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1921340Z   test_reversed (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1921605Z   test_scatter_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1921876Z   test_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1922184Z   test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s)
2022-11-23T01:59:41.1922514Z   test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1922797Z   test_show_config (__main__.TestTorch) ... ok (0.000s)
2022-11-23T01:59:41.1923092Z   test_size_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1923350Z   test_sizeof (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1923602Z   test_slice (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1923922Z   test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2022-11-23T01:59:41.1924256Z   test_sobolengine_bounds (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1924552Z   test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.068s)
2022-11-23T01:59:41.1924853Z   test_sobolengine_continuing (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1925179Z   test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1925490Z   test_sobolengine_distribution (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1925804Z   test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:59:41.1926101Z   test_sobolengine_draw (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1926384Z   test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1926688Z   test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1927002Z   test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1927293Z   test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1927601Z   test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1927907Z   test_sobolengine_first_point (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1928198Z   test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1928483Z   test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1928761Z   test_sobolengine_reset (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1929045Z   test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1929332Z   test_sort_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1929599Z   test_split_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1929869Z   test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1930126Z   test_std_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1930390Z   test_storage_casts (__main__.TestTorch) ... ok (0.011s)
2022-11-23T01:59:41.1930659Z   test_storage_error (__main__.TestTorch) ... ok (0.033s)
2022-11-23T01:59:41.1930966Z   test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1931273Z   test_structseq_repr (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1931553Z   test_subclass_preserved (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1931824Z   test_subclass_tensors (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1932093Z   test_sum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1932364Z   test_t_not_2d_error (__main__.TestTorch) ... ok (0.009s)
2022-11-23T01:59:41.1932636Z   test_tensor_base_init (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1932902Z   test_tensor_base_new (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1933172Z   test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1933451Z   test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.126s)
2022-11-23T01:59:41.1933726Z   test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.064s)
2022-11-23T01:59:41.1934010Z   test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1934298Z   test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1934570Z   test_tensor_set (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1934839Z   test_tensor_set_errors (__main__.TestTorch) ... ok (0.035s)
2022-11-23T01:59:41.1935119Z   test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1935402Z   test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1935726Z   test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.126s)
2022-11-23T01:59:41.1936345Z   test_to (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7733: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:59:41.1936903Z   a = torch.tensor([[0, 1, 2], [2, 0, 3]]).to_sparse_csr()
2022-11-23T01:59:41.1937147Z ok (0.007s)
2022-11-23T01:59:41.1937365Z   test_to_with_tensor (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1937633Z   test_topk_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1937904Z   test_torch_from_file (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1938174Z   test_transpose_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1938438Z   test_type (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1938692Z   test_type_alias (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1939163Z   test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1939483Z   test_typed_storage_deprecation_warning (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1940240Z   test_typed_storage_internal_no_warning (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.1940741Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.1940951Z ok (0.003s)
2022-11-23T01:59:41.1941173Z   test_unbind_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1941436Z   test_unflatten (__main__.TestTorch) ... ok (0.019s)
2022-11-23T01:59:41.1941697Z   test_unfold_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1941964Z   test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:59:41.1942250Z   test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:59:41.1942543Z   test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:59:41.1942812Z   test_var_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:59:41.1943079Z   test_wildcard_import (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:59:41.1943389Z   test_addcdiv_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1943731Z   test_addcdiv_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1944066Z   test_addcdiv_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1944393Z   test_addcdiv_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1944719Z   test_addcdiv_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1945042Z   test_addcdiv_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1945366Z   test_addcdiv_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1945690Z   test_addcdiv_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1945999Z   test_addcdiv_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1946328Z   test_addcdiv_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1946659Z   test_addcmul_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1947002Z   test_addcmul_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1947327Z   test_addcmul_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1947650Z   test_addcmul_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1948029Z   test_addcmul_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1948348Z   test_addcmul_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1948666Z   test_addcmul_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1948984Z   test_addcmul_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1949299Z   test_addcmul_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1949609Z   test_addcmul_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1949976Z   test_assertRaisesRegex_ignore_msg_non_native_device_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.1950461Z   test_bernoulli_edge_cases_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1951012Z   test_bernoulli_edge_cases_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1951531Z   test_bernoulli_edge_cases_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1951939Z   test_bernoulli_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T01:59:41.1952280Z   test_bernoulli_p_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1952610Z   test_bernoulli_p_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1952951Z   test_bernoulli_p_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1953290Z   test_bernoulli_self_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1953628Z   test_bernoulli_self_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1953962Z   test_bernoulli_self_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1954302Z   test_bernoulli_self_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1954642Z   test_bernoulli_self_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1954972Z   test_bernoulli_self_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1955306Z   test_bernoulli_self_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1955643Z   test_bernoulli_self_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1955980Z   test_bernoulli_self_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1956335Z   test_bfloat16_float_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:59:41.1956699Z   test_bool_tensor_value_change_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1957045Z   test_broadcast_fn_add_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T01:59:41.1957383Z   test_broadcast_fn_addcdiv_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.029s)
2022-11-23T01:59:41.1957722Z   test_broadcast_fn_addcmul_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T01:59:41.1958066Z   test_broadcast_fn_atan2_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1958404Z   test_broadcast_fn_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1958730Z   test_broadcast_fn_dist_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1959063Z   test_broadcast_fn_div_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1959398Z   test_broadcast_fn_eq_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1959723Z   test_broadcast_fn_fmod_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1960090Z   test_broadcast_fn_ge_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1960421Z   test_broadcast_fn_gt_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1960747Z   test_broadcast_fn_le_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1961070Z   test_broadcast_fn_lerp_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T01:59:41.1961402Z   test_broadcast_fn_lt_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1961734Z   test_broadcast_fn_map2_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1962059Z   test_broadcast_fn_map_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1962430Z   test_broadcast_fn_masked_fill_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T01:59:41.1962783Z   test_broadcast_fn_masked_scatter_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T01:59:41.1963137Z   test_broadcast_fn_masked_select_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1963481Z   test_broadcast_fn_max_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1963807Z   test_broadcast_fn_min_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1964137Z   test_broadcast_fn_mul_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1964457Z   test_broadcast_fn_ne_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T01:59:41.1964785Z   test_broadcast_fn_pow_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1965124Z   test_broadcast_fn_remainder_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.1965461Z   test_broadcast_fn_sub_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T01:59:41.1966224Z   test_bytes_to_scalar_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.1966735Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.1966946Z ok (0.003s)
2022-11-23T01:59:41.1967216Z   test_bytes_to_scalar_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.1967561Z   test_bytes_to_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1967912Z   test_bytes_to_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1968258Z   test_bytes_to_scalar_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1968597Z   test_bytes_to_scalar_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1968938Z   test_bytes_to_scalar_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1969273Z   test_bytes_to_scalar_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1969613Z   test_bytes_to_scalar_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1969942Z   test_bytes_to_scalar_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1970286Z   test_cauchy_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.208s)
2022-11-23T01:59:41.1970625Z   test_cauchy_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.1970990Z   test_cauchy_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1971340Z   test_cauchy_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.1971747Z   test_cauchy_no_inf_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1972244Z   test_cauchy_no_inf_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1972636Z   test_cdist_cuda_backward_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.783s)
2022-11-23T01:59:41.1972974Z   test_cdist_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1973310Z   test_cdist_euclidean_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T01:59:41.1973656Z   test_cdist_grad_p_lt_1_no_nan_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1974055Z   test_cdist_large_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.1974474Z   test_cdist_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.1974817Z   test_cdist_non_contiguous_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.1975160Z   test_cdist_non_contiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.1975500Z   test_cdist_norm_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.192s)
2022-11-23T01:59:41.1975826Z   test_cdist_norm_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.186s)
2022-11-23T01:59:41.1976160Z   test_cdist_same_inputs_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1976500Z   test_clone_all_dtypes_and_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1976848Z   test_clone_not_memory_dense_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1977190Z   test_clone_zero_stride_dim_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1977544Z   test_complex_half_experimental_warning_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1977910Z   test_constants_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:59:41.1978297Z   test_conv_transposed_backward_agnostic_to_memory_format_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (1.163s)
2022-11-23T01:59:41.1978673Z   test_conv_transposed_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T01:59:41.1979318Z   test_copy__cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:5218: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T01:59:41.1979751Z   t.copy_(src)
2022-11-23T01:59:41.1979932Z ok (0.005s)
2022-11-23T01:59:41.1980188Z   test_copy__cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1980511Z   test_copy__cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1980877Z   test_copy__cuda_complex32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1981226Z   test_copy__cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1981549Z   test_copy__cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1981878Z   test_copy__cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1982198Z   test_copy__cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1982514Z   test_copy__cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1982828Z   test_copy__cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1983145Z   test_copy__cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1983458Z   test_copy__cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1983770Z   test_copy__cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1984106Z   test_copy_all_dtypes_and_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.1984453Z   test_copy_math_view_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.244s)
2022-11-23T01:59:41.1984852Z   test_copy_mem_overlap_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T01:59:41.1985209Z   test_copy_transpose_math_view_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.884s)
2022-11-23T01:59:41.1985578Z   test_copy_transpose_math_view_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.1985938Z   test_copy_transpose_math_view_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1986453Z   test_corrcoef_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:1918: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2022-11-23T01:59:41.1986913Z   res = torch.corrcoef(x)
2022-11-23T01:59:41.1987306Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:380: RuntimeWarning: Mean of empty slice.
2022-11-23T01:59:41.1987599Z   avg = a.mean(axis)
2022-11-23T01:59:41.1987997Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:181: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T01:59:41.1988303Z   ret = um.true_divide(
2022-11-23T01:59:41.1988699Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2683: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T01:59:41.1989007Z   c = cov(x, y, rowvar, dtype=dtype)
2022-11-23T01:59:41.1989433Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2542: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.1989749Z   c *= np.true_divide(1, fact)
2022-11-23T01:59:41.1990162Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2542: RuntimeWarning: invalid value encountered in multiply
2022-11-23T01:59:41.1990475Z   c *= np.true_divide(1, fact)
2022-11-23T01:59:41.1990762Z ok (0.008s)
2022-11-23T01:59:41.1991047Z   test_corrcoef_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1991376Z   test_corrcoef_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1991878Z   test_cov_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:1925: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2022-11-23T01:59:41.1992365Z   res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights)
2022-11-23T01:59:41.1992721Z /var/lib/jenkins/workspace/test/test_torch.py:1929: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T01:59:41.1993054Z   ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights)
2022-11-23T01:59:41.1993516Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:412: RuntimeWarning: invalid value encountered in multiply
2022-11-23T01:59:41.1993875Z   avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
2022-11-23T01:59:41.1994103Z ok (0.076s)
2022-11-23T01:59:41.1994350Z   test_cov_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.071s)
2022-11-23T01:59:41.1994670Z   test_cov_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T01:59:41.1995015Z   test_cpp_warnings_have_python_context_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.143s)
2022-11-23T01:59:41.1995387Z   test_cublas_config_nondeterministic_alert_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (32.056s)
2022-11-23T01:59:41.1995745Z   test_cummax_cummin_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T01:59:41.1996083Z   test_cummax_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1996432Z   test_cummin_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.1996758Z   test_cumprod_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.1997073Z   test_cumsum_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.1997870Z   test_deepcopy_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.1998373Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.1998577Z ok (0.019s)
2022-11-23T01:59:41.1998836Z   test_deepcopy_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T01:59:41.1999180Z   test_deepcopy_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1999528Z   test_deepcopy_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.1999939Z   test_device_guard_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.003s)
2022-11-23T01:59:41.2000294Z   test_diff_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.049s)
2022-11-23T01:59:41.2000617Z   test_diff_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.059s)
2022-11-23T01:59:41.2000967Z   test_diff_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.061s)
2022-11-23T01:59:41.2001566Z   test_diff_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1292: RuntimeWarning: overflow encountered in subtract
2022-11-23T01:59:41.2001932Z   a = op(a[slice1], a[slice2])
2022-11-23T01:59:41.2002119Z ok (0.057s)
2022-11-23T01:59:41.2002372Z   test_diff_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.057s)
2022-11-23T01:59:41.2002690Z   test_diff_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.056s)
2022-11-23T01:59:41.2002999Z   test_diff_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.048s)
2022-11-23T01:59:41.2003313Z   test_diff_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.048s)
2022-11-23T01:59:41.2003620Z   test_diff_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.047s)
2022-11-23T01:59:41.2003940Z   test_diff_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.048s)
2022-11-23T01:59:41.2004247Z   test_diff_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.048s)
2022-11-23T01:59:41.2004567Z   test_diff_noncontig_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T01:59:41.2004913Z   test_diff_noncontig_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.053s)
2022-11-23T01:59:41.2005256Z   test_diff_noncontig_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.054s)
2022-11-23T01:59:41.2005604Z   test_diff_noncontig_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.051s)
2022-11-23T01:59:41.2005955Z   test_diff_noncontig_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.051s)
2022-11-23T01:59:41.2006291Z   test_diff_noncontig_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.050s)
2022-11-23T01:59:41.2006618Z   test_diff_noncontig_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.042s)
2022-11-23T01:59:41.2006960Z   test_diff_noncontig_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.042s)
2022-11-23T01:59:41.2007297Z   test_diff_noncontig_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.041s)
2022-11-23T01:59:41.2007628Z   test_diff_noncontig_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.042s)
2022-11-23T01:59:41.2007966Z   test_diff_noncontig_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.042s)
2022-11-23T01:59:41.2008305Z   test_dim_function_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T01:59:41.2008653Z   test_discontiguous_out_cumsum_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2008977Z   test_dist_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2009324Z   test_errors_index_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:59:41.2009688Z   test_expected_failure_xla_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2010059Z   test_exponential_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2010405Z   test_exponential_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2010745Z   test_exponential_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2011133Z   test_exponential_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2011468Z   test_exponential_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2011825Z   test_exponential_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2012208Z   test_exponential_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2012556Z   test_exponential_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2012904Z   test_exponential_no_zero_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2013256Z   test_exponential_no_zero_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2013621Z   test_gather_backward_deterministic_path_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2014002Z   test_gather_backward_one_dim_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:59:41.2014366Z   test_geometric_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2014702Z   test_geometric_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2015033Z   test_geometric_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2015363Z   test_geometric_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2015691Z   test_geometric_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2016017Z   test_geometric_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2016342Z   test_geometric_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2016666Z   test_geometric_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2016994Z   test_geometric_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2017333Z   test_geometric_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2017678Z   test_geometric_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2018024Z   test_geometric_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2018371Z   test_geometric_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2018706Z   test_geometric_kstest_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2019158Z   test_geometric_kstest_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2019500Z   test_geometric_kstest_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2019837Z   test_geometric_kstest_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2020169Z   test_geometric_kstest_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2020513Z   test_gradient_all_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.178s)
2022-11-23T01:59:41.2020854Z   test_gradient_all_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.147s)
2022-11-23T01:59:41.2021439Z   test_gradient_all_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1084: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.2021856Z   a = -(dx2)/(dx1 * (dx1 + dx2))
2022-11-23T01:59:41.2022274Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.2022675Z   b = (dx2 - dx1) / (dx1 * dx2)
2022-11-23T01:59:41.2023079Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: RuntimeWarning: invalid value encountered in multiply
2022-11-23T01:59:41.2023452Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2023900Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: RuntimeWarning: invalid value encountered in add
2022-11-23T01:59:41.2024260Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2024714Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.2025160Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T01:59:41.2025617Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1086: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.2025916Z   c = dx1 / (dx2 * (dx1 + dx2))
2022-11-23T01:59:41.2026337Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T01:59:41.2026750Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T01:59:41.2027201Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T01:59:41.2027600Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T01:59:41.2028057Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1123: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2028430Z   a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2))
2022-11-23T01:59:41.2028854Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1124: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2029153Z   b = (dx1 + dx2) / (dx1 * dx2)
2022-11-23T01:59:41.2029566Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: RuntimeWarning: invalid value encountered in multiply
2022-11-23T01:59:41.2029936Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2030386Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: RuntimeWarning: invalid value encountered in add
2022-11-23T01:59:41.2030834Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2031347Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1140: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2031667Z   a = (dx2) / (dx1 * (dx1 + dx2))
2022-11-23T01:59:41.2032076Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1141: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2032424Z   b = - (dx2 + dx1) / (dx1 * dx2)
2022-11-23T01:59:41.2032837Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: RuntimeWarning: invalid value encountered in multiply
2022-11-23T01:59:41.2033195Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2033644Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: RuntimeWarning: invalid value encountered in add
2022-11-23T01:59:41.2034003Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2034457Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T01:59:41.2034862Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T01:59:41.2035320Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1125: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2035666Z   c = - dx1 / (dx2 * (dx1 + dx2))
2022-11-23T01:59:41.2036129Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1142: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T01:59:41.2036445Z   c = (2. * dx2 + dx1) / (dx2 * (dx1 + dx2))
2022-11-23T01:59:41.2036645Z ok (0.147s)
2022-11-23T01:59:41.2036924Z   test_gradient_extreme_cases_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.068s)
2022-11-23T01:59:41.2037282Z   test_gradient_extreme_cases_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2037642Z   test_gradient_extreme_cases_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2038275Z   test_gradient_type_promotion_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1080: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2038816Z   out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx)
2022-11-23T01:59:41.2039292Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2039722Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T01:59:41.2040197Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2040617Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T01:59:41.2041659Z /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T01:59:41.2042311Z   return torch.as_tensor(tensor_like)
2022-11-23T01:59:41.2042772Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2043158Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2043651Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2044030Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2044520Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T01:59:41.2044910Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T01:59:41.2045141Z ok (0.060s)
2022-11-23T01:59:41.2045399Z   test_hook_remove_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2045739Z   test_index_add_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2046091Z   test_index_add_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T01:59:41.2046429Z   test_index_copy_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2046760Z   test_index_copy_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2047099Z   test_index_copy_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2047437Z   test_index_copy_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2047780Z   test_index_copy_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2048110Z   test_index_copy_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2048472Z   test_index_copy_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2048798Z   test_index_copy_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2049123Z   test_index_copy_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2049446Z   test_index_copy_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2049766Z   test_index_copy_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2050090Z   test_index_copy_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2050443Z   test_index_copy_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (2.176s)
2022-11-23T01:59:41.2050821Z   test_index_copy_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T01:59:41.2051165Z   test_index_copy_scalars_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2051517Z   test_index_copy_scalars_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2051874Z   test_index_copy_scalars_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2052227Z   test_index_copy_scalars_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2052580Z   test_index_copy_scalars_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2052934Z   test_index_copy_scalars_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2053277Z   test_index_copy_scalars_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2053620Z   test_index_copy_scalars_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2053974Z   test_index_copy_scalars_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2054318Z   test_index_copy_scalars_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2054657Z   test_index_copy_scalars_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2055002Z   test_index_copy_scalars_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2055342Z   test_index_fill_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2055672Z   test_index_fill_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2055999Z   test_index_fill_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2056338Z   test_index_fill_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2056673Z   test_index_fill_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2057003Z   test_index_fill_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2057322Z   test_index_fill_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2057652Z   test_index_fill_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2057975Z   test_index_fill_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2058289Z   test_index_fill_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2058613Z   test_index_fill_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2059043Z   test_index_fill_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2059373Z   test_index_fill_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2059722Z   test_index_put_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T01:59:41.2060087Z   test_index_put_non_accumulate_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2060716Z   test_index_reduce_reduce_amax_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:2967: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Indexing.cu:1047.)
2022-11-23T01:59:41.2061242Z   dest.index_reduce_(dim, idx, src, reduce, include_self=include_self)
2022-11-23T01:59:41.2061473Z ok (0.079s)
2022-11-23T01:59:41.2061747Z   test_index_reduce_reduce_amax_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2062106Z   test_index_reduce_reduce_amax_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.078s)
2022-11-23T01:59:41.2062453Z   test_index_reduce_reduce_amax_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.075s)
2022-11-23T01:59:41.2062842Z   test_index_reduce_reduce_amax_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2063202Z   test_index_reduce_reduce_amax_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2063560Z   test_index_reduce_reduce_amax_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T01:59:41.2063905Z   test_index_reduce_reduce_amax_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2064261Z   test_index_reduce_reduce_amax_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2064623Z   test_index_reduce_reduce_amin_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2064975Z   test_index_reduce_reduce_amin_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.078s)
2022-11-23T01:59:41.2065333Z   test_index_reduce_reduce_amin_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2065686Z   test_index_reduce_reduce_amin_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2066044Z   test_index_reduce_reduce_amin_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2066392Z   test_index_reduce_reduce_amin_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2066748Z   test_index_reduce_reduce_amin_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T01:59:41.2067104Z   test_index_reduce_reduce_amin_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2067449Z   test_index_reduce_reduce_amin_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.066s)
2022-11-23T01:59:41.2067808Z   test_index_reduce_reduce_mean_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.089s)
2022-11-23T01:59:41.2068170Z   test_index_reduce_reduce_mean_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.087s)
2022-11-23T01:59:41.2068525Z   test_index_reduce_reduce_mean_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.089s)
2022-11-23T01:59:41.2068871Z   test_index_reduce_reduce_mean_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.086s)
2022-11-23T01:59:41.2069221Z   test_index_reduce_reduce_mean_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.074s)
2022-11-23T01:59:41.2069572Z   test_index_reduce_reduce_mean_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.075s)
2022-11-23T01:59:41.2069917Z   test_index_reduce_reduce_mean_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.072s)
2022-11-23T01:59:41.2070257Z   test_index_reduce_reduce_mean_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.075s)
2022-11-23T01:59:41.2070673Z   test_index_reduce_reduce_mean_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.074s)
2022-11-23T01:59:41.2071061Z   test_index_reduce_reduce_prod_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2071420Z   test_index_reduce_reduce_prod_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2071788Z   test_index_reduce_reduce_prod_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T01:59:41.2072142Z   test_index_reduce_reduce_prod_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.075s)
2022-11-23T01:59:41.2072550Z   test_index_reduce_reduce_prod_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2072898Z   test_index_reduce_reduce_prod_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2073257Z   test_index_reduce_reduce_prod_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.061s)
2022-11-23T01:59:41.2073615Z   test_index_reduce_reduce_prod_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2073971Z   test_index_reduce_reduce_prod_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.065s)
2022-11-23T01:59:41.2074315Z   test_index_select_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2074685Z   test_index_select_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2075034Z   test_index_select_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2075379Z   test_index_select_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2075728Z   test_index_select_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2076071Z   test_index_select_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2076412Z   test_index_select_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2076741Z   test_index_select_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2077073Z   test_index_select_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2077403Z   test_index_select_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2077732Z   test_index_select_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2078064Z   test_index_select_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2078414Z   test_invalid_shapes_grid_sampler_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.047s)
2022-11-23T01:59:41.2078759Z   test_is_set_to_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2079071Z   test_is_signed_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2079401Z   test_item_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2079722Z   test_item_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2080047Z   test_item_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2080379Z   test_item_cuda_complex32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2080710Z   test_item_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2081041Z   test_item_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2081358Z   test_item_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2081684Z   test_item_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2082003Z   test_item_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2082312Z   test_item_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2082622Z   test_item_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2082940Z   test_item_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2083246Z   test_item_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2083575Z   test_large_cumprod_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (16.786s)
2022-11-23T01:59:41.2083925Z   test_large_cumsum_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (15.666s)
2022-11-23T01:59:41.2084266Z   test_log_normal_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2084597Z   test_log_normal_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2084966Z   test_log_normal_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2085295Z   test_log_normal_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2085621Z   test_logcumsumexp_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.061s)
2022-11-23T01:59:41.2085964Z   test_lognormal_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2086325Z   test_lognormal_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2086676Z   test_lognormal_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2087042Z   test_lognormal_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2087396Z   test_masked_fill_bool_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2087746Z   test_masked_fill_cuda_bfloat16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2088101Z   test_masked_fill_cuda_bfloat16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2088442Z   test_masked_fill_cuda_bool_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2088780Z   test_masked_fill_cuda_bool_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2089128Z   test_masked_fill_cuda_complex128_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2089478Z   test_masked_fill_cuda_complex128_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2089834Z   test_masked_fill_cuda_complex64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2090189Z   test_masked_fill_cuda_complex64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2090535Z   test_masked_fill_cuda_float16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2090875Z   test_masked_fill_cuda_float16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2091220Z   test_masked_fill_cuda_float32_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2091567Z   test_masked_fill_cuda_float32_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2091905Z   test_masked_fill_cuda_float64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2092255Z   test_masked_fill_cuda_float64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2092603Z   test_masked_fill_cuda_int16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2092944Z   test_masked_fill_cuda_int16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2093283Z   test_masked_fill_cuda_int32_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2093626Z   test_masked_fill_cuda_int32_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2093966Z   test_masked_fill_cuda_int64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2094304Z   test_masked_fill_cuda_int64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2094648Z   test_masked_fill_cuda_int8_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2094988Z   test_masked_fill_cuda_int8_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2095321Z   test_masked_fill_cuda_uint8_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2095648Z   test_masked_fill_cuda_uint8_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2095992Z   test_masked_fill_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T01:59:41.2096347Z   test_masked_scatter_bool_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2096689Z   test_masked_scatter_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2097073Z   test_masked_scatter_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2097424Z   test_masked_scatter_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2097777Z   test_masked_scatter_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2098118Z   test_masked_scatter_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2098461Z   test_masked_scatter_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2098889Z   test_masked_scatter_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2099258Z   test_masked_scatter_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2099590Z   test_masked_scatter_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2099926Z   test_masked_scatter_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2100267Z   test_masked_scatter_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2100600Z   test_masked_scatter_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2100981Z   test_masked_scatter_large_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.145s)
2022-11-23T01:59:41.2101367Z   test_masked_scatter_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2101951Z   test_masked_select_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2102457Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2102665Z ok (0.013s)
2022-11-23T01:59:41.2103155Z   test_masked_select_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2103645Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2103844Z ok (0.006s)
2022-11-23T01:59:41.2104340Z   test_masked_select_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2104843Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2105057Z ok (0.008s)
2022-11-23T01:59:41.2105547Z   test_masked_select_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2106049Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2106260Z ok (0.008s)
2022-11-23T01:59:41.2106747Z   test_masked_select_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2107240Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2107455Z ok (0.006s)
2022-11-23T01:59:41.2108021Z   test_masked_select_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2108525Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2108729Z ok (0.006s)
2022-11-23T01:59:41.2109219Z   test_masked_select_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2109705Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2109917Z ok (0.006s)
2022-11-23T01:59:41.2110393Z   test_masked_select_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2111017Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2111228Z ok (0.006s)
2022-11-23T01:59:41.2111716Z   test_masked_select_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2112194Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2112400Z ok (0.006s)
2022-11-23T01:59:41.2112880Z   test_masked_select_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2113363Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2113563Z ok (0.007s)
2022-11-23T01:59:41.2114050Z   test_masked_select_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2114549Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2114759Z ok (0.005s)
2022-11-23T01:59:41.2115235Z   test_masked_select_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T01:59:41.2115720Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T01:59:41.2115924Z ok (0.005s)
2022-11-23T01:59:41.2116190Z   test_masked_select_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2116548Z   test_memory_format_clone_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2116899Z   test_memory_format_consistency_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2117261Z   test_memory_format_cpu_and_cuda_ops_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.036s)
2022-11-23T01:59:41.2117613Z   test_memory_format_empty_like_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T01:59:41.2117989Z   test_memory_format_factory_like_functions_preserve_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T01:59:41.2118362Z   test_memory_format_operators_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T01:59:41.2118735Z   test_memory_format_preserved_after_permute_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2119105Z   test_memory_format_propagation_rules_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2119454Z   test_memory_format_to_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2119829Z   test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2120172Z   test_memory_format_type_shortcuts_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.055s)
2022-11-23T01:59:41.2120523Z   test_module_share_memory_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2120868Z   test_multinomial_cpu_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2121216Z   test_multinomial_cpu_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2121553Z   test_multinomial_cpu_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2121928Z   test_multinomial_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T01:59:41.2122264Z   test_multinomial_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.2122597Z   test_multinomial_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T01:59:41.2122957Z   test_multinomial_deterministic_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2123324Z   test_multinomial_deterministic_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2123691Z   test_multinomial_deterministic_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.030s)
2022-11-23T01:59:41.2124049Z   test_multinomial_device_constrain_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2124416Z   test_multinomial_empty_w_replacement_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2124787Z   test_multinomial_empty_wo_replacement_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2125184Z   test_multinomial_gpu_device_constrain_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T01:59:41.2125655Z   test_multinomial_rng_state_advance_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.2126064Z   test_narrow_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2126435Z   test_nondeterministic_alert_AdaptiveAvgPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T01:59:41.2126830Z   test_nondeterministic_alert_AdaptiveAvgPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2127231Z   test_nondeterministic_alert_AdaptiveMaxPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2127619Z   test_nondeterministic_alert_AvgPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2127993Z   test_nondeterministic_alert_CTCLoss_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.2128366Z   test_nondeterministic_alert_EmbeddingBag_max_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T01:59:41.2128776Z   test_nondeterministic_alert_FractionalMaxPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2129186Z   test_nondeterministic_alert_FractionalMaxPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2129572Z   test_nondeterministic_alert_MaxPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2129954Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2130344Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2130735Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2131112Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2131494Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2131908Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2132294Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2132669Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2133046Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2133423Z   test_nondeterministic_alert_NLLLoss_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2133838Z   test_nondeterministic_alert_ReflectionPad1d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T01:59:41.2134222Z   test_nondeterministic_alert_ReflectionPad2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2134615Z   test_nondeterministic_alert_ReflectionPad3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2135005Z   test_nondeterministic_alert_ReplicationPad1d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2135399Z   test_nondeterministic_alert_ReplicationPad2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2135784Z   test_nondeterministic_alert_ReplicationPad3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2136170Z   test_nondeterministic_alert_bincount_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T01:59:41.2136543Z   test_nondeterministic_alert_cumsum_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2136922Z   test_nondeterministic_alert_cumsum_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2137316Z   test_nondeterministic_alert_cumsum_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2137700Z   test_nondeterministic_alert_cumsum_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2138082Z   test_nondeterministic_alert_cumsum_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2138452Z   test_nondeterministic_alert_cumsum_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2138925Z   test_nondeterministic_alert_cumsum_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2139307Z   test_nondeterministic_alert_cumsum_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2139674Z   test_nondeterministic_alert_cumsum_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2140044Z   test_nondeterministic_alert_cumsum_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2140422Z   test_nondeterministic_alert_grid_sample_2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2140807Z   test_nondeterministic_alert_grid_sample_3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2141174Z   test_nondeterministic_alert_histc_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2141558Z   test_nondeterministic_alert_interpolate_bicubic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T01:59:41.2141952Z   test_nondeterministic_alert_interpolate_bilinear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2142347Z   test_nondeterministic_alert_interpolate_linear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2142737Z   test_nondeterministic_alert_interpolate_trilinear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2143131Z   test_nondeterministic_alert_kthvalue_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.026s)
2022-11-23T01:59:41.2143511Z   test_nondeterministic_alert_median_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.030s)
2022-11-23T01:59:41.2143940Z   test_nondeterministic_alert_put_accumulate_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2144308Z   test_nondeterministic_alert_put_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2144657Z   test_normal_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2145000Z   test_normal_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2145333Z   test_normal_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2145669Z   test_normal_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2146044Z   test_nullary_op_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.050s)
2022-11-23T01:59:41.2146390Z   test_pairwise_distance_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2146716Z   test_pdist_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2147115Z   test_pdist_norm_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:59:41.2147513Z   test_pickle_gradscaler_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2147859Z   test_pin_memory_from_constructor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2148208Z   test_put_accumulate_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2148562Z   test_put_accumulate_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2148915Z   test_put_accumulate_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2149254Z   test_put_accumulate_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2149596Z   test_put_accumulate_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2149937Z   test_put_accumulate_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2150274Z   test_put_accumulate_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2150667Z   test_put_accumulate_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2151024Z   test_put_accumulate_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2151363Z   test_put_accumulate_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2151691Z   test_put_accumulate_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2152022Z   test_put_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2152346Z   test_put_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T01:59:41.2152672Z   test_put_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.068s)
2022-11-23T01:59:41.2152988Z   test_put_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T01:59:41.2153316Z   test_put_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T01:59:41.2153632Z   test_put_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.060s)
2022-11-23T01:59:41.2153937Z   test_put_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.047s)
2022-11-23T01:59:41.2154252Z   test_put_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.046s)
2022-11-23T01:59:41.2154563Z   test_put_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T01:59:41.2154872Z   test_put_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.046s)
2022-11-23T01:59:41.2155187Z   test_put_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.046s)
2022-11-23T01:59:41.2155498Z   test_put_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2155825Z   test_put_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T01:59:41.2156202Z   test_repeat_interleave_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2156970Z   test_scalar_check_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.2157473Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.2157684Z ok (0.115s)
2022-11-23T01:59:41.2157936Z   test_scatter_add_bool_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2158281Z   test_scatter_add_non_unique_index_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2158677Z   test_scatter_add_one_dim_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (2.178s)
2022-11-23T01:59:41.2159034Z   test_scatter_add_to_large_input_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2159382Z   test_scatter_bool_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2159716Z   test_scatter_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2160101Z   test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2160508Z   test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2160931Z   test_scatter_reduce_non_unique_index_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2388463Z   test_scatter_reduce_non_unique_index_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2388915Z   test_scatter_reduce_non_unique_index_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2389309Z   test_scatter_reduce_non_unique_index_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2389694Z   test_scatter_reduce_non_unique_index_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2390078Z   test_scatter_reduce_non_unique_index_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2390458Z   test_scatter_reduce_non_unique_index_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2390977Z   test_scatter_reduce_non_unique_index_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2391343Z   test_scatter_reduce_non_unique_index_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2391711Z   test_scatter_reduce_non_unique_index_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2392086Z   test_scatter_reduce_non_unique_index_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2392448Z   test_scatter_reduce_non_unique_index_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2392842Z   test_scatter_reduce_operations_to_large_input_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2393250Z   test_scatter_reduce_operations_to_large_input_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2393655Z   test_scatter_reduce_operations_to_large_input_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2394050Z   test_scatter_reduce_operations_to_large_input_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2394457Z   test_scatter_reduce_operations_to_large_input_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2394860Z   test_scatter_reduce_operations_to_large_input_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2395257Z   test_scatter_reduce_operations_to_large_input_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2395735Z   test_scatter_reduce_operations_to_large_input_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2396130Z   test_scatter_reduce_operations_to_large_input_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2396525Z   test_scatter_reduce_operations_to_large_input_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2396916Z   test_scatter_reduce_operations_to_large_input_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2397297Z   test_scatter_reduce_operations_to_large_input_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2397712Z   test_scatter_reduce_scalar_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2398072Z   test_scatter_reduce_scalar_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2398427Z   test_scatter_reduce_scalar_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2398796Z   test_scatter_reduce_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2399158Z   test_scatter_reduce_scalar_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2399523Z   test_scatter_reduce_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2399869Z   test_scatter_reduce_scalar_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2400227Z   test_scatter_reduce_scalar_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2400582Z   test_scatter_reduce_scalar_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2400972Z   test_scatter_reduce_scalar_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2401318Z   test_scatter_reduce_scalar_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2401675Z   test_scatter_reduce_scalar_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2402019Z   test_scatter_to_large_input_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2402363Z   test_scatter_zero_size_index_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2402707Z   test_serialization_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T01:59:41.2403050Z   test_set_storage_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2403389Z   test_set_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2403721Z   test_set_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2404069Z   test_set_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2404415Z   test_set_storage_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2404744Z   test_set_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2405081Z   test_set_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2405416Z   test_set_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2405753Z   test_set_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2406079Z   test_set_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2406411Z   test_set_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2406745Z   test_set_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2407075Z   test_shift_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T01:59:41.2407401Z   test_skip_xla_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2407735Z   test_storage_all_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2408108Z   test_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2408439Z   test_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T01:59:41.2408777Z   test_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2409107Z   test_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T01:59:41.2409432Z   test_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2409759Z   test_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T01:59:41.2410117Z   test_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2410429Z   test_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2410749Z   test_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2411078Z   test_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T01:59:41.2411446Z   test_storage_meta_errors_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2411839Z   test_storage_meta_errors_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2412236Z   test_storage_meta_errors_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2412642Z   test_storage_meta_errors_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2413041Z   test_storage_meta_errors_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2413431Z   test_storage_meta_errors_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2413819Z   test_storage_meta_errors_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2414211Z   test_storage_meta_errors_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2414601Z   test_storage_meta_errors_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2414975Z   test_storage_meta_errors_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2415360Z   test_storage_meta_errors_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2415742Z   test_storage_meta_errors_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T01:59:41.2416113Z   test_storage_meta_from_tensor_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T01:59:41.2416481Z   test_storage_meta_from_tensor_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2416850Z   test_storage_meta_from_tensor_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2417220Z   test_storage_meta_from_tensor_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2417580Z   test_storage_meta_from_tensor_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2417947Z   test_storage_meta_from_tensor_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2418312Z   test_storage_meta_from_tensor_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2418669Z   test_storage_meta_from_tensor_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2419163Z   test_storage_meta_from_tensor_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2419516Z   test_storage_meta_from_tensor_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2419874Z   test_storage_meta_from_tensor_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2420266Z   test_storage_meta_from_tensor_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2420618Z   test_storage_setitem_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2420967Z   test_storage_setitem_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2421320Z   test_storage_setitem_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2421663Z   test_storage_setitem_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2422007Z   test_storage_setitem_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2422384Z   test_storage_setitem_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2422714Z   test_storage_setitem_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2423054Z   test_storage_setitem_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2423393Z   test_storage_setitem_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2423735Z   test_storage_setitem_cuda_qint32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2424065Z   test_storage_setitem_cuda_qint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2424409Z   test_storage_setitem_cuda_quint4x2 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2424752Z   test_storage_setitem_cuda_quint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2425080Z   test_storage_setitem_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2425426Z   test_strides_propagation_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.108s)
2022-11-23T01:59:41.2426266Z   test_sync_warning_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/cuda/__init__.py:649: UserWarning: Synchronization debug mode is a prototype feature and does not yet detect all synchronizing operations (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:768.)
2022-11-23T01:59:41.2426805Z   torch._C._cuda_set_sync_debug_mode(debug_mode)
2022-11-23T01:59:41.2427018Z ok (0.126s)
2022-11-23T01:59:41.2427278Z   test_take_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T01:59:41.2427601Z   test_take_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2427928Z   test_take_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2428252Z   test_take_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2428581Z   test_take_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2428894Z   test_take_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2429218Z   test_take_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T01:59:41.2429532Z   test_take_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2429848Z   test_take_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2430165Z   test_take_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T01:59:41.2430481Z   test_take_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2430865Z   test_take_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T01:59:41.2431180Z   test_take_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2431951Z   test_tensor_from_storage_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:59:41.2432468Z   warnings.warn(message, UserWarning)
2022-11-23T01:59:41.2432721Z ok (0.013s)
2022-11-23T01:59:41.2432990Z   test_tensor_from_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2433350Z   test_tensor_from_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2433702Z   test_tensor_from_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2434059Z   test_tensor_from_storage_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2434412Z   test_tensor_from_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2434780Z   test_tensor_from_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2435124Z   test_tensor_from_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2435477Z   test_tensor_from_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2435829Z   test_tensor_from_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2436170Z   test_tensor_from_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2436518Z   test_tensor_from_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T01:59:41.2436904Z   test_tensor_set_errors_multigpu_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T01:59:41.2437285Z   test_tensor_shape_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T01:59:41.2437628Z   test_tensor_storage_type_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2437985Z   test_tensor_storage_type_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2438343Z   test_tensor_storage_type_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2438699Z   test_tensor_storage_type_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2439058Z   test_tensor_storage_type_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2439410Z   test_tensor_storage_type_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2439749Z   test_tensor_storage_type_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2440084Z   test_tensor_storage_type_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2440428Z   test_tensor_storage_type_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2440777Z   test_tensor_storage_type_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2441116Z   test_tensor_storage_type_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2441462Z   test_tensor_storage_type_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2441816Z   test_ternary_op_mem_overlap_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.001s)
2022-11-23T01:59:41.2442174Z   test_typed_storage_meta_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2442518Z   test_typed_storage_meta_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2442870Z   test_typed_storage_meta_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2443228Z   test_typed_storage_meta_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2443582Z   test_typed_storage_meta_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2443926Z   test_typed_storage_meta_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2444272Z   test_typed_storage_meta_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2444659Z   test_typed_storage_meta_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2445001Z   test_typed_storage_meta_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2445342Z   test_typed_storage_meta_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2445689Z   test_typed_storage_meta_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2446032Z   test_typed_storage_meta_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2446380Z   test_unfold_all_devices_and_dtypes_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2446756Z   test_unfold_scalars_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2447103Z   test_uniform_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2447437Z   test_uniform_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2447776Z   test_uniform_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2448113Z   test_uniform_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T01:59:41.2448453Z   test_untyped_storage_meta_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T01:59:41.2448810Z   test_warn_always_caught_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T01:59:41.2449186Z   test_where_scalar_handcrafted_values_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.044s)
2022-11-23T01:59:41.2449542Z   test_cuda_vitals_gpu_only_cuda (__main__.TestVitalSignsCudaCUDA) ... ok (0.004s)
2022-11-23T01:59:41.2449829Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T01:59:41.2450110Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:59:41.2450367Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T01:59:41.2450506Z 
2022-11-23T01:59:41.2450717Z ----------------------------------------------------------------------
2022-11-23T01:59:41.2450821Z Ran 854 tests in 84.725s
2022-11-23T01:59:41.2450828Z 
2022-11-23T01:59:41.2450914Z OK (skipped=36)
2022-11-23T01:59:41.2450921Z 
2022-11-23T01:59:41.2451033Z Generating XML reports...
2022-11-23T01:59:41.2451332Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123015814.xml
2022-11-23T01:59:41.2451637Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestDevicePrecisionCUDA-20221123015814.xml
2022-11-23T01:59:41.2451895Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221123015814.xml
2022-11-23T01:59:41.2452196Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCUDA-20221123015814.xml
2022-11-23T01:59:41.2452498Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCUDA-20221123015814.xml
2022-11-23T01:59:41.2452608Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T01:59:41.2452736Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:59:41.2452832Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T01:59:41.2452837Z 
2022-11-23T01:59:41.2453166Z ##[endgroup]
2022-11-23T01:59:41.2453434Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_nkgs9mn3)
2022-11-23T01:59:41.2453440Z 
2022-11-23T01:59:41.4711188Z 
2022-11-23T01:59:41.4711651Z real	39m46.755s
2022-11-23T01:59:41.4711919Z user	73m29.526s
2022-11-23T01:59:41.4712160Z sys	8m37.972s
2022-11-23T01:59:41.4712641Z + assert_git_not_dirty
2022-11-23T01:59:41.4713109Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 != *rocm* ]]
2022-11-23T01:59:41.4713466Z + [[ linux-bionic-cuda11.6-py3.10-gcc7-sm86 != *xla* ]]
2022-11-23T01:59:41.4713784Z ++ git status --porcelain
2022-11-23T01:59:56.8092206Z + git_status=
2022-11-23T01:59:56.8092589Z + [[ -n '' ]]
2022-11-23T01:59:56.9641374Z Prepare all required actions
2022-11-23T01:59:56.9641714Z Getting action download info
2022-11-23T01:59:57.2432238Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2022-11-23T01:59:57.5737365Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-11-23T01:59:57.5737589Z with:
2022-11-23T01:59:57.5737941Z   github-token: ***
2022-11-23T01:59:57.5738126Z env:
2022-11-23T01:59:57.5738306Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:57.5738517Z   GPU_FLAG: --gpus all
2022-11-23T01:59:57.5738996Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T01:59:57.5739308Z ##[endgroup]
2022-11-23T01:59:57.5775653Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2022-11-23T01:59:57.5775985Z with:
2022-11-23T01:59:57.5776161Z   shell: bash
2022-11-23T01:59:57.5776345Z   timeout_minutes: 10
2022-11-23T01:59:57.5776540Z   max_attempts: 5
2022-11-23T01:59:57.5776760Z   retry_wait_seconds: 30
2022-11-23T01:59:57.5777156Z   command: set -eux
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}"

2022-11-23T01:59:57.5777553Z   polling_interval_seconds: 1
2022-11-23T01:59:57.5777772Z   warning_on_retry: true
2022-11-23T01:59:57.5777985Z   continue_on_error: false
2022-11-23T01:59:57.5778171Z env:
2022-11-23T01:59:57.5778360Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:57.5778571Z   GPU_FLAG: --gpus all
2022-11-23T01:59:57.5779069Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T01:59:57.5779484Z   GITHUB_TOKEN: ***
2022-11-23T01:59:57.5779681Z ##[endgroup]
2022-11-23T01:59:57.9672390Z + python3 -m pip install requests==2.26.0
2022-11-23T01:59:58.8470611Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:59:58.8829712Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-11-23T01:59:58.8977228Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2022-11-23T01:59:58.9006733Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4)
2022-11-23T01:59:58.9024336Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24)
2022-11-23T01:59:58.9043263Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.12)
2022-11-23T01:59:59.1441120Z ++ python3 .github/scripts/get_workflow_job_id.py 3528293554 i-0052d4fbbda3a7a6f
2022-11-23T02:00:01.9198718Z + GHA_WORKFLOW_JOB_ID=9655216275
2022-11-23T02:00:01.9199179Z + echo job-id=9655216275
2022-11-23T02:00:01.9642092Z Command completed after 1 attempt(s).
2022-11-23T02:00:01.9756021Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2022-11-23T02:00:01.9756277Z kill "$MONITOR_SCRIPT_PID"
2022-11-23T02:00:01.9766589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:01.9766824Z env:
2022-11-23T02:00:01.9767040Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:01.9767269Z   GPU_FLAG: --gpus all
2022-11-23T02:00:01.9767556Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:01.9767838Z   MONITOR_SCRIPT_PID: 31360
2022-11-23T02:00:01.9768040Z ##[endgroup]
2022-11-23T02:00:01.9851678Z Prepare all required actions
2022-11-23T02:00:01.9851940Z Getting action download info
2022-11-23T02:00:02.2535525Z Download action repository 'actions/upload-artifact@v3' (SHA:83fd05a356d7e2593de66fc9913b3002723633cb)
2022-11-23T02:00:02.7215124Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-11-23T02:00:02.7215352Z with:
2022-11-23T02:00:02.7215625Z   file-suffix: test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275
2022-11-23T02:00:02.7215892Z env:
2022-11-23T02:00:02.7216073Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:02.7216282Z   GPU_FLAG: --gpus all
2022-11-23T02:00:02.7216562Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:02.7216819Z ##[endgroup]
2022-11-23T02:00:02.7238689Z ##[group]Run # Remove any previous test jsons if they exist
2022-11-23T02:00:02.7238975Z # Remove any previous test jsons if they exist
2022-11-23T02:00:02.7239221Z rm -f test-jsons-*.zip
2022-11-23T02:00:02.7239510Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-11-23T02:00:02.7250232Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:02.7250546Z env:
2022-11-23T02:00:02.7250732Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:02.7250934Z   GPU_FLAG: --gpus all
2022-11-23T02:00:02.7251211Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:02.7251569Z   FILE_SUFFIX: test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275
2022-11-23T02:00:02.7251835Z ##[endgroup]
2022-11-23T02:00:02.8008100Z   adding: test/allowlist_for_publicAPI.json (deflated 79%)
2022-11-23T02:00:02.8038143Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-11-23T02:00:02.8043900Z   adding: test/profiler/profiler_utils_mock_events.json (deflated 87%)
2022-11-23T02:00:02.8049253Z   adding: test/.pytorch-slow-tests.json (deflated 73%)
2022-11-23T02:00:02.8071864Z   adding: test/.pytorch-disabled-tests.json (deflated 86%)
2022-11-23T02:00:02.8118971Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T02:00:02.8119282Z # Remove any previous test reports if they exist
2022-11-23T02:00:02.8119546Z rm -f test-reports-*.zip
2022-11-23T02:00:02.8119832Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv'
2022-11-23T02:00:02.8129345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:02.8129585Z env:
2022-11-23T02:00:02.8129774Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:02.8129980Z   GPU_FLAG: --gpus all
2022-11-23T02:00:02.8130265Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:02.8130626Z   FILE_SUFFIX: test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275
2022-11-23T02:00:02.8130892Z ##[endgroup]
2022-11-23T02:00:02.8201207Z   adding: test/test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123011959.xml (deflated 81%)
2022-11-23T02:00:02.8204654Z   adding: test/test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123011959.xml (deflated 82%)
2022-11-23T02:00:02.8215262Z   adding: test/test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20221123012004.xml (deflated 83%)
2022-11-23T02:00:02.8224965Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123012007.xml (deflated 96%)
2022-11-23T02:00:02.8244647Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123012007.xml (deflated 92%)
2022-11-23T02:00:02.8253494Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123012007.xml (deflated 93%)
2022-11-23T02:00:02.8266132Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123012007.xml (deflated 90%)
2022-11-23T02:00:02.8270296Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123012007.xml (deflated 84%)
2022-11-23T02:00:02.8274209Z   adding: test/test-reports/python-unittest/dynamo.test_python_autograd/TEST-TestPythonAutograd-20221123012021.xml (deflated 77%)
2022-11-23T02:00:02.8285771Z   adding: test/test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123012026.xml (deflated 79%)
2022-11-23T02:00:02.8291782Z   adding: test/test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123012031.xml (deflated 69%)
2022-11-23T02:00:02.8311351Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012118.xml (deflated 88%)
2022-11-23T02:00:02.8783233Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012118.xml (deflated 93%)
2022-11-23T02:00:02.8811152Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CudaReproTests-20221123012118.xml (deflated 88%)
2022-11-23T02:00:02.9643413Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CudaTests-20221123012118.xml (deflated 94%)
2022-11-23T02:00:02.9704193Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012118.xml (deflated 96%)
2022-11-23T02:00:02.9764655Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCudaTest-20221123012118.xml (deflated 96%)
2022-11-23T02:00:02.9769490Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012118.xml (deflated 58%)
2022-11-23T02:00:02.9774807Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TritonCodeGenTests-20221123012118.xml (deflated 71%)
2022-11-23T02:00:02.9781863Z   adding: test/test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123012120.xml (deflated 40%)
2022-11-23T02:00:02.9785090Z   adding: test/test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123012120.xml (deflated 58%)
2022-11-23T02:00:02.9797736Z   adding: test/test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123012125.xml (deflated 89%)
2022-11-23T02:00:02.9800927Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123012129.xml (deflated 63%)
2022-11-23T02:00:02.9805185Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123012129.xml (deflated 66%)
2022-11-23T02:00:02.9810664Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123012129.xml (deflated 42%)
2022-11-23T02:00:02.9821628Z   adding: test/test-reports/python-unittest/test_autocast/TEST-TestAutocastCPU-20221123012134.xml (deflated 77%)
2022-11-23T02:00:02.9825362Z   adding: test/test-reports/python-unittest/test_autocast/TEST-TestAutocastGPU-20221123012134.xml (deflated 45%)
2022-11-23T02:00:02.9829563Z   adding: test/test-reports/python-unittest/test_autocast/TEST-TestTorchAutocast-20221123012134.xml (deflated 42%)
2022-11-23T02:00:02.9840553Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20221123012143.xml (deflated 74%)
2022-11-23T02:00:02.9848736Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20221123012143.xml (deflated 53%)
2022-11-23T02:00:02.9862500Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20221123012143.xml (deflated 86%)
2022-11-23T02:00:02.9872962Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20221123012143.xml (deflated 90%)
2022-11-23T02:00:02.9875415Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20221123012143.xml (deflated 76%)
2022-11-23T02:00:02.9880061Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20221123012143.xml (deflated 61%)
2022-11-23T02:00:02.9884718Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20221123012143.xml (deflated 43%)
2022-11-23T02:00:02.9897529Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20221123012143.xml (deflated 40%)
2022-11-23T02:00:02.9900468Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20221123012143.xml (deflated 40%)
2022-11-23T02:00:02.9904843Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20221123012143.xml (deflated 72%)
2022-11-23T02:00:02.9907575Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20221123012143.xml (deflated 43%)
2022-11-23T02:00:02.9917118Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20221123012143.xml (deflated 41%)
2022-11-23T02:00:02.9920027Z   adding: test/test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20221123012143.xml (deflated 42%)
2022-11-23T02:00:02.9923636Z   adding: test/test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221123012232.xml (deflated 71%)
2022-11-23T02:00:02.9937405Z   adding: test/test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012238.xml (deflated 81%)
2022-11-23T02:00:02.9965716Z   adding: test/test-reports/python-unittest/test_fx_experimental/TEST-TestNormalizeOperatorsCUDA-20221123012238.xml (deflated 97%)
2022-11-23T02:00:02.9969585Z   adding: test/test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221123012246.xml (deflated 52%)
2022-11-23T02:00:02.9975191Z   adding: test/test-reports/python-unittest/test_jit_autocast/TEST-TestAutocast-20221123012256.xml (deflated 86%)
2022-11-23T02:00:02.9981840Z   adding: test/test-reports/python-unittest/test_jit_autocast/TEST-TestJitTraceAutocast-20221123012256.xml (deflated 76%)
2022-11-23T02:00:02.9985349Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123012407.xml (deflated 41%)
2022-11-23T02:00:02.9988579Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123012407.xml (deflated 40%)
2022-11-23T02:00:02.9996086Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestFusionPatternCUDA-20221123012407.xml (deflated 92%)
2022-11-23T02:00:03.0008095Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123012407.xml (deflated 96%)
2022-11-23T02:00:03.0012089Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestOpCUDA-20221123012407.xml (deflated 93%)
2022-11-23T02:00:03.0021285Z   adding: test/test-reports/python-unittest/test_logging/TEST-LoggingTest-20221123012410.xml (deflated 43%)
2022-11-23T02:00:03.0573255Z   adding: test/test-reports/python-unittest/test_meta/TEST-TestMetaCUDA-20221123012420.xml (deflated 98%)
2022-11-23T02:00:03.0577759Z   adding: test/test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123012420.xml (deflated 80%)
2022-11-23T02:00:03.0581158Z   adding: test/test-reports/python-unittest/test_mkldnn_verbose/TEST-TestMKLDNNVerbose-20221123013232.xml (deflated 53%)
2022-11-23T02:00:03.0590805Z   adding: test/test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123013241.xml (deflated 87%)
2022-11-23T02:00:03.0595291Z   adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221123013247.xml (deflated 90%)
2022-11-23T02:00:03.0607762Z   adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorAutogradCUDA-20221123013247.xml (deflated 84%)
2022-11-23T02:00:03.0619384Z   adding: test/test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensorDeviceTypeCUDA-20221123013247.xml (deflated 93%)
2022-11-23T02:00:03.0623101Z   adding: test/test-reports/python-unittest/test_nvfuser_dynamo/TEST-TestNvFuserDynamo-20221123013253.xml (deflated 65%)
2022-11-23T02:00:03.0628384Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123013302.xml (deflated 68%)
2022-11-23T02:00:03.0635866Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123013302.xml (deflated 85%)
2022-11-23T02:00:03.0640522Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123013302.xml (deflated 86%)
2022-11-23T02:00:03.0649403Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123013302.xml (deflated 82%)
2022-11-23T02:00:03.0651856Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123013302.xml (deflated 79%)
2022-11-23T02:00:03.0655652Z   adding: test/test-reports/python-unittest/test_pytree/TEST-TestPytree-20221123013310.xml (deflated 84%)
2022-11-23T02:00:03.0664595Z   adding: test/test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheck-20221123013316.xml (deflated 85%)
2022-11-23T02:00:03.0769773Z   adding: test/test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheckModeOpInfoCUDA-20221123013316.xml (deflated 97%)
2022-11-23T02:00:03.0782321Z   adding: test/test-reports/python-unittest/test_spectral_ops/TEST-TestFFTCUDA-20221123014053.xml (deflated 92%)
2022-11-23T02:00:03.0785971Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123014103.xml (deflated 60%)
2022-11-23T02:00:03.0789623Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123014103.xml (deflated 77%)
2022-11-23T02:00:03.0794384Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123014103.xml (deflated 72%)
2022-11-23T02:00:03.0802799Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123014103.xml (deflated 64%)
2022-11-23T02:00:03.0807103Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123014103.xml (deflated 84%)
2022-11-23T02:00:03.0810903Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123014103.xml (deflated 65%)
2022-11-23T02:00:03.0822611Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123014103.xml (deflated 66%)
2022-11-23T02:00:03.0826119Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123014103.xml (deflated 40%)
2022-11-23T02:00:03.0830366Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123014103.xml (deflated 60%)
2022-11-23T02:00:03.0849127Z   adding: test/test-reports/python-unittest/test_type_promotion/TEST-TestTypePromotionCUDA-20221123014109.xml (deflated 97%)
2022-11-23T02:00:03.0864422Z   adding: test/test-reports/python-unittest/test_vmap/TEST-TestVmapAPI-20221123014131.xml (deflated 94%)
2022-11-23T02:00:03.0868956Z   adding: test/test-reports/python-unittest/test_vmap/TEST-TestVmapBatchedGradientCUDA-20221123014131.xml (deflated 85%)
2022-11-23T02:00:03.0877833Z   adding: test/test-reports/python-unittest/test_vmap/TEST-TestVmapOperators-20221123014131.xml (deflated 86%)
2022-11-23T02:00:03.0881559Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123014755.xml (deflated 77%)
2022-11-23T02:00:03.0885212Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123014755.xml (deflated 67%)
2022-11-23T02:00:03.0889754Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123014755.xml (deflated 40%)
2022-11-23T02:00:03.0897235Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123014755.xml (deflated 40%)
2022-11-23T02:00:03.0902543Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014759.xml (deflated 41%)
2022-11-23T02:00:03.0905120Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014801.xml (deflated 42%)
2022-11-23T02:00:03.0908302Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014803.xml (deflated 41%)
2022-11-23T02:00:03.0918769Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014804.xml (deflated 42%)
2022-11-23T02:00:03.0924813Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014806.xml (deflated 42%)
2022-11-23T02:00:03.0929390Z   adding: test/test-reports/python-unittest/test_cuda_nvml_based_avail/TEST-TestExtendedCUDAIsAvail-20221123014807.xml (deflated 41%)
2022-11-23T02:00:03.0937876Z   adding: test/test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123014810.xml (deflated 81%)
2022-11-23T02:00:03.0942777Z   adding: test/test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123014810.xml (deflated 75%)
2022-11-23T02:00:03.0946547Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123014839.xml (deflated 72%)
2022-11-23T02:00:03.0949972Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123014839.xml (deflated 73%)
2022-11-23T02:00:03.0961948Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123014839.xml (deflated 60%)
2022-11-23T02:00:03.0966087Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123014839.xml (deflated 40%)
2022-11-23T02:00:03.0971380Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123014839.xml (deflated 83%)
2022-11-23T02:00:03.1009833Z   adding: test/test-reports/python-unittest/test_modules/TEST-TestModuleCUDA-20221123014848.xml (deflated 95%)
2022-11-23T02:00:03.1015653Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123015806.xml (deflated 42%)
2022-11-23T02:00:03.1020605Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123015806.xml (deflated 41%)
2022-11-23T02:00:03.1023710Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123015806.xml (deflated 41%)
2022-11-23T02:00:03.1031585Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123015806.xml (deflated 41%)
2022-11-23T02:00:03.1034947Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123015806.xml (deflated 41%)
2022-11-23T02:00:03.1044068Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123015806.xml (deflated 73%)
2022-11-23T02:00:03.1049315Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123015806.xml (deflated 40%)
2022-11-23T02:00:03.1055205Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123015806.xml (deflated 40%)
2022-11-23T02:00:03.1058546Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123015806.xml (deflated 39%)
2022-11-23T02:00:03.1065385Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123015806.xml (deflated 38%)
2022-11-23T02:00:03.1068195Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123015806.xml (deflated 40%)
2022-11-23T02:00:03.1073177Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123015806.xml (deflated 85%)
2022-11-23T02:00:03.1113444Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123015806.xml (deflated 96%)
2022-11-23T02:00:03.1120586Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123015806.xml (deflated 42%)
2022-11-23T02:00:03.1128986Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123015806.xml (deflated 41%)
2022-11-23T02:00:03.1133488Z   adding: test/test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123015810.xml (deflated 40%)
2022-11-23T02:00:03.1134027Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123015814.xml (deflated 62%)
2022-11-23T02:00:03.1134564Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestDevicePrecisionCUDA-20221123015814.xml (deflated 86%)
2022-11-23T02:00:03.1139273Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestTorch-20221123015814.xml (deflated 89%)
2022-11-23T02:00:03.1152841Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCUDA-20221123015814.xml (deflated 93%)
2022-11-23T02:00:03.1153396Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCUDA-20221123015814.xml (deflated 40%)
2022-11-23T02:00:03.1198873Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0b47ca155048b5b3.xml (deflated 95%)
2022-11-23T02:00:03.1245167Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0faa118da99a33b0.xml (deflated 95%)
2022-11-23T02:00:03.1250133Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-dd45adc57bdbf60a.xml (deflated 85%)
2022-11-23T02:00:03.1270957Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T02:00:03.1271280Z # Remove any previous test reports if they exist
2022-11-23T02:00:03.1271534Z rm -f usage-log-*.zip
2022-11-23T02:00:03.1271834Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2022-11-23T02:00:03.1272151Z # so check to see if the file exists first
2022-11-23T02:00:03.1272398Z if [ -f 'usage_log.txt' ]; then
2022-11-23T02:00:03.1272676Z     zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt'
2022-11-23T02:00:03.1272913Z fi
2022-11-23T02:00:03.1282985Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:03.1283230Z env:
2022-11-23T02:00:03.1283422Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:03.1283631Z   GPU_FLAG: --gpus all
2022-11-23T02:00:03.1283916Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:03.1284279Z   FILE_SUFFIX: test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275
2022-11-23T02:00:03.1284545Z ##[endgroup]
2022-11-23T02:00:03.1766698Z   adding: usage_log.txt (deflated 98%)
2022-11-23T02:00:03.1804895Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:00:03.1805124Z with:
2022-11-23T02:00:03.1805335Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T02:00:03.1805567Z   retention-days: 14
2022-11-23T02:00:03.1805778Z   if-no-files-found: warn
2022-11-23T02:00:03.1805986Z   path: test-jsons-*.zip
2022-11-23T02:00:03.1806190Z   name: artifact
2022-11-23T02:00:03.1806388Z   s3-bucket: gha-artifacts
2022-11-23T02:00:03.1806585Z   region: us-east-1
2022-11-23T02:00:03.1806765Z env:
2022-11-23T02:00:03.1806951Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:03.1807153Z   GPU_FLAG: --gpus all
2022-11-23T02:00:03.1807432Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:03.1807695Z ##[endgroup]
2022-11-23T02:00:03.5430135Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:00:03.5431012Z With the provided path, there will be 1 file uploaded
2022-11-23T02:00:03.5432091Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T02:00:03.5481904Z Starting upload of test-jsons-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:03.7900800Z Finished upload of test-jsons-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:03.8040154Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:00:03.8040467Z with:
2022-11-23T02:00:03.8040683Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T02:00:03.8040918Z   retention-days: 14
2022-11-23T02:00:03.8041134Z   if-no-files-found: error
2022-11-23T02:00:03.8041351Z   path: test-reports-*.zip
2022-11-23T02:00:03.8041550Z   name: artifact
2022-11-23T02:00:03.8041748Z   s3-bucket: gha-artifacts
2022-11-23T02:00:03.8041946Z   region: us-east-1
2022-11-23T02:00:03.8042129Z env:
2022-11-23T02:00:03.8042317Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:03.8042517Z   GPU_FLAG: --gpus all
2022-11-23T02:00:03.8042796Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:03.8043061Z ##[endgroup]
2022-11-23T02:00:04.1076497Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:00:04.1077252Z With the provided path, there will be 1 file uploaded
2022-11-23T02:00:04.1077742Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T02:00:04.1082579Z Starting upload of test-reports-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:04.3435078Z Finished upload of test-reports-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:04.3589189Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:00:04.3589425Z with:
2022-11-23T02:00:04.3589638Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T02:00:04.3589878Z   retention-days: 14
2022-11-23T02:00:04.3590092Z   if-no-files-found: ignore
2022-11-23T02:00:04.3590307Z   path: usage-log-*.zip
2022-11-23T02:00:04.3590511Z   name: artifact
2022-11-23T02:00:04.3590814Z   s3-bucket: gha-artifacts
2022-11-23T02:00:04.3591051Z   region: us-east-1
2022-11-23T02:00:04.3591234Z env:
2022-11-23T02:00:04.3591424Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:04.3591631Z   GPU_FLAG: --gpus all
2022-11-23T02:00:04.3591915Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:04.3592186Z ##[endgroup]
2022-11-23T02:00:04.6595391Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:00:04.6595839Z With the provided path, there will be 1 file uploaded
2022-11-23T02:00:04.6596207Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T02:00:04.6602752Z Starting upload of usage-log-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:04.7965368Z Finished upload of usage-log-test-default-4-4-linux.g5.4xlarge.nvidia.gpu_9655216275.zip
2022-11-23T02:00:04.8092192Z ##[group]Run # shellcheck disable=SC2156
2022-11-23T02:00:04.8092450Z # shellcheck disable=SC2156
2022-11-23T02:00:04.8092766Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2022-11-23T02:00:04.8103243Z shell: /usr/bin/bash -e {0}
2022-11-23T02:00:04.8103446Z env:
2022-11-23T02:00:04.8103629Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:04.8103844Z   GPU_FLAG: --gpus all
2022-11-23T02:00:04.8104127Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:04.8104387Z ##[endgroup]
2022-11-23T02:00:06.9377562Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T02:00:06.9378322Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T02:00:06.9378774Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T02:00:06.9379339Z This is free software: you are free to change and redistribute it.
2022-11-23T02:00:06.9379710Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T02:00:06.9379982Z and "show warranty" for details.
2022-11-23T02:00:06.9380288Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T02:00:06.9380563Z Type "show configuration" for configuration details.
2022-11-23T02:00:06.9380841Z For bug reporting instructions, please see:
2022-11-23T02:00:06.9381099Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T02:00:06.9381391Z Find the GDB manual and other documentation resources online at:
2022-11-23T02:00:06.9381688Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T02:00:06.9381930Z For help, type "help".
2022-11-23T02:00:06.9382187Z Type "apropos word" to search for commands related to "word"...
2022-11-23T02:00:07.0243247Z Reading symbols from python...done.
2022-11-23T02:00:07.3550937Z 
2022-11-23T02:00:07.3551490Z warning: core file may not match specified executable file.
2022-11-23T02:00:07.5275401Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:07.5275834Z [New LWP 3392]
2022-11-23T02:00:07.5276114Z [New LWP 3399]
2022-11-23T02:00:07.5276515Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:07.5276872Z [New LWP 3409]
2022-11-23T02:00:07.5277125Z [New LWP 3396]
2022-11-23T02:00:07.5277378Z [New LWP 3411]
2022-11-23T02:00:07.5277577Z [New LWP 3402]
2022-11-23T02:00:07.5277757Z [New LWP 3407]
2022-11-23T02:00:07.5277943Z [New LWP 3403]
2022-11-23T02:00:07.5278121Z [New LWP 3404]
2022-11-23T02:00:07.5278303Z [New LWP 3398]
2022-11-23T02:00:07.5278485Z [New LWP 3410]
2022-11-23T02:00:07.5278656Z [New LWP 3421]
2022-11-23T02:00:07.5278992Z [New LWP 3423]
2022-11-23T02:00:07.5279198Z [New LWP 3401]
2022-11-23T02:00:07.5279396Z [New LWP 3430]
2022-11-23T02:00:07.5279577Z [New LWP 3419]
2022-11-23T02:00:07.5279758Z [New LWP 3412]
2022-11-23T02:00:07.5341407Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:07.5342350Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:07.5402326Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:07.5402797Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:07.6217029Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:07.6218225Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:08.1157502Z [Thread debugging using libthread_db enabled]
2022-11-23T02:00:08.1158499Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T02:00:14.4694753Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T02:00:14.4696030Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T02:00:14.4697085Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T02:00:14.4697808Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T02:00:14.4698416Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:14.4699470Z [Current thread is 1 (Thread 0x7f076bdef0c0 (LWP 3392))]
2022-11-23T02:00:14.4788444Z To enable execution of this file add
2022-11-23T02:00:14.4789034Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T02:00:14.4789523Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:14.4789956Z To completely disable this security protection add
2022-11-23T02:00:14.4790403Z 	set auto-load safe-path /
2022-11-23T02:00:14.4790950Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:14.4791423Z For more information about this security protection see the
2022-11-23T02:00:14.4791853Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T02:00:14.4792174Z 	info "(gdb)Auto-loading safe path"
2022-11-23T02:00:14.4845449Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:14.4845941Z #1  0x00007f0732e34cbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T02:00:14.4846492Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T02:00:14.4943088Z #2  <signal handler called>
2022-11-23T02:00:14.4943563Z #3  0x00007f076a8a96f0 in string_at (ptr=0x0, size=-1)
2022-11-23T02:00:14.4944052Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T02:00:14.4944341Z #4  0x00007f076bca49dd in ffi_call_unix64 ()
2022-11-23T02:00:14.4944678Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:14.4947566Z #5  0x00007f076bca4067 in ffi_call_int ()
2022-11-23T02:00:14.4948067Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:14.4950054Z #6  0x00007f076a8b5a25 in _call_function_pointer (
2022-11-23T02:00:14.4950789Z     argtypecount=<optimized out>, argcount=2, resmem=0x7ffd66e29720, 
2022-11-23T02:00:14.4951349Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T02:00:14.4951758Z     pProc=0x7f076a8a96b5 <string_at>, flags=4357)
2022-11-23T02:00:14.4952219Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T02:00:14.4952486Z #7  _ctypes_callproc ()
2022-11-23T02:00:14.4952964Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T02:00:14.4953275Z #8  0x00007f076a8b249f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T02:00:14.4953543Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T02:00:14.4953895Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T02:00:14.4954210Z #9  0x00005564dd98952e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T02:00:14.4967357Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T02:00:14.4971592Z #10 0x00005564dda2844b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.4972122Z     nargsf=<optimized out>, args=0x7f067a69c358, callable=<optimized out>, 
2022-11-23T02:00:14.4972515Z     tstate=<optimized out>)
2022-11-23T02:00:14.4973070Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T02:00:14.4973470Z #11 PyObject_Vectorcall ()
2022-11-23T02:00:14.4973938Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.4974252Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.4974536Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e29a40, 
2022-11-23T02:00:14.4974941Z     tstate=<optimized out>)
2022-11-23T02:00:14.4975297Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.4975572Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:14.4975900Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:14.4976185Z #14 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.4976555Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.4976829Z #15 _PyEval_Vector ()
2022-11-23T02:00:14.4977145Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.4980150Z #16 0x00005564dd94c2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.4980502Z     nargsf=<optimized out>, args=0x7f067a69c1c0, callable=0x7f076ab2f760, 
2022-11-23T02:00:14.4980823Z     tstate=<optimized out>)
2022-11-23T02:00:14.4981376Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.4981780Z #17 PyObject_Vectorcall ()
2022-11-23T02:00:14.4982212Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.4982516Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.4982808Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e29c70, 
2022-11-23T02:00:14.4983058Z     tstate=<optimized out>)
2022-11-23T02:00:14.4983388Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.4983718Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.4983988Z     throwflag=<optimized out>)
2022-11-23T02:00:14.4984329Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T02:00:14.4984616Z #20 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.4984992Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.4985272Z #21 _PyEval_Vector ()
2022-11-23T02:00:14.4985596Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5002565Z #22 0x00005564dd9dfed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T02:00:14.5002957Z     args=0x7ffd66e29e00, callable=0x7f067a649d80, tstate=0x5564ded6dbf0)
2022-11-23T02:00:14.5003517Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5003857Z #23 vectorcall_unbound ()
2022-11-23T02:00:14.5004215Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T02:00:14.5004552Z #24 vectorcall_method (nargs=2, args=0x7ffd66e29e00, name=0x5564ddbf39e0 <id>)
2022-11-23T02:00:14.5005122Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T02:00:14.5005478Z #25 slot_mp_subscript ()
2022-11-23T02:00:14.5005877Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T02:00:14.5006199Z #26 0x00005564dda01656 in PyObject_GetItem.localalias.27 ()
2022-11-23T02:00:14.5006669Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T02:00:14.5007023Z #27 0x00005564dda28d8a in _PyEval_EvalFrameDefault ()
2022-11-23T02:00:14.5007399Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T02:00:14.5008182Z #28 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5008621Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5008911Z #29 _PyEval_Vector ()
2022-11-23T02:00:14.5009247Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5013181Z #30 0x00005564dd94b425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.5013615Z     nargsf=<optimized out>, args=0x7f067a856a48, callable=0x7f076ab2d510, 
2022-11-23T02:00:14.5013880Z     tstate=<optimized out>)
2022-11-23T02:00:14.5014409Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5014701Z #31 PyObject_Vectorcall ()
2022-11-23T02:00:14.5015081Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5015503Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.5015794Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2a160, 
2022-11-23T02:00:14.5016096Z     tstate=<optimized out>)
2022-11-23T02:00:14.5016576Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5017005Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5017380Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5017848Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:14.5018153Z #34 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5018539Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5019130Z #35 _PyEval_Vector ()
2022-11-23T02:00:14.5019606Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5020370Z #36 0x00005564dd94b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.5020789Z     nargsf=<optimized out>, args=0x5564deecb038, callable=0x7f06833c28c0, 
2022-11-23T02:00:14.5021139Z     tstate=<optimized out>)
2022-11-23T02:00:14.5021637Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5022017Z #37 PyObject_Vectorcall ()
2022-11-23T02:00:14.5022512Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5022944Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.5023324Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2a390, 
2022-11-23T02:00:14.5023658Z     tstate=<optimized out>)
2022-11-23T02:00:14.5024123Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5024558Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5024924Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5025384Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:14.5025720Z #40 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5026097Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5026369Z #41 _PyEval_Vector ()
2022-11-23T02:00:14.5026697Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5041154Z #42 0x00005564dd98efaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T02:00:14.5041562Z     tuple=0x7f067a827240, callable=0x7f06833c1bd0)
2022-11-23T02:00:14.5042069Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T02:00:14.5042350Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T02:00:14.5042700Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T02:00:14.5045020Z #44 0x00005564dda2a774 in PyObject_Call (kwargs=0x7f076ac76680, 
2022-11-23T02:00:14.5045392Z     args=0x7f067a827240, callable=0x7f06833c1bd0)
2022-11-23T02:00:14.5045862Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T02:00:14.5048456Z #45 do_call_core (kwdict=0x7f076ac76680, callargs=0x7f067a827240, 
2022-11-23T02:00:14.5048765Z     func=0x7f06833c1bd0, trace_info=0x7ffd66e2a620, tstate=<optimized out>)
2022-11-23T02:00:14.5049281Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T02:00:14.5049563Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:14.5049904Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T02:00:14.5050190Z #47 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5050757Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5051071Z #48 _PyEval_Vector ()
2022-11-23T02:00:14.5051453Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5052895Z #49 0x00005564dd94b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.5053242Z     nargsf=<optimized out>, args=0x5564e3cbc578, callable=0x7f076aca1630, 
2022-11-23T02:00:14.5053628Z     tstate=<optimized out>)
2022-11-23T02:00:14.5054130Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5054503Z #50 PyObject_Vectorcall ()
2022-11-23T02:00:14.5054934Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5055249Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.5055636Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2a850, 
2022-11-23T02:00:14.5055947Z     tstate=<optimized out>)
2022-11-23T02:00:14.5056349Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5056689Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5056954Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5057293Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:14.5057576Z #53 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5057942Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5058218Z #54 _PyEval_Vector ()
2022-11-23T02:00:14.5058586Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5060715Z #55 0x00005564dd94b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.5061119Z     nargsf=<optimized out>, args=0x5564dee0a330, callable=0x7f076aca1fc0, 
2022-11-23T02:00:14.5061445Z     tstate=<optimized out>)
2022-11-23T02:00:14.5061858Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5062239Z #56 PyObject_Vectorcall ()
2022-11-23T02:00:14.5062666Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5062992Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.5063346Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2aa80, 
2022-11-23T02:00:14.5063615Z     tstate=<optimized out>)
2022-11-23T02:00:14.5063964Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5064300Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5064748Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5065098Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:14.5065388Z #59 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5065763Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5066033Z #60 _PyEval_Vector ()
2022-11-23T02:00:14.5066401Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5067904Z #61 0x00005564dd94b425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:14.5068886Z     nargsf=<optimized out>, args=0x7f076adec200, callable=0x7f076ab26d40, 
2022-11-23T02:00:14.5069438Z     tstate=<optimized out>)
2022-11-23T02:00:14.5069967Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5070699Z #62 PyObject_Vectorcall ()
2022-11-23T02:00:14.5071709Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5073489Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:14.5073896Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2acb0, 
2022-11-23T02:00:14.5074389Z     tstate=<optimized out>)
2022-11-23T02:00:14.5074854Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5075181Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5075453Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5075888Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:14.5076261Z #65 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5076770Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5077049Z #66 _PyEval_Vector ()
2022-11-23T02:00:14.5077374Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5077787Z #67 0x00005564dd94c0b5 in _PyObject_VectorcallTstate (kwnames=0x7f076ade3ec0, 
2022-11-23T02:00:14.5078211Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f076ab26cb0, 
2022-11-23T02:00:14.5078538Z     tstate=<optimized out>)
2022-11-23T02:00:14.5078905Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:14.5079192Z #68 PyObject_Vectorcall ()
2022-11-23T02:00:14.5079552Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:14.5079873Z #69 call_function (kwnames=0x7f076ade3ec0, oparg=<optimized out>, 
2022-11-23T02:00:14.5080179Z     pp_stack=<synthetic pointer>, trace_info=0x7ffd66e2aee0, 
2022-11-23T02:00:14.5080432Z     tstate=<optimized out>)
2022-11-23T02:00:14.5080776Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:14.5081105Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:14.5081386Z     throwflag=<optimized out>)
2022-11-23T02:00:14.5081729Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T02:00:14.5082022Z #71 0x00005564dd9d6742 in _PyEval_EvalFrame ()
2022-11-23T02:00:14.5082400Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:14.5082678Z #72 _PyEval_Vector ()
2022-11-23T02:00:14.5083001Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:14.5096065Z #73 0x00005564dd9e5578 in PyEval_EvalCode (co=0x7f076ad84920, 
2022-11-23T02:00:14.5096412Z     globals=0x7f076ad76480, locals=<optimized out>)
2022-11-23T02:00:14.5096799Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T02:00:14.5097946Z #74 0x00005564dda9b8fb in run_eval_code_obj ()
2022-11-23T02:00:14.5098425Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T02:00:14.5100569Z #75 0x00005564ddad43a5 in run_mod ()
2022-11-23T02:00:14.5101089Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T02:00:14.5103434Z #76 0x00005564ddad91ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T02:00:14.5103906Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T02:00:14.5106064Z #77 0x00005564ddad922c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T02:00:14.5106574Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T02:00:14.5119451Z #78 0x00005564ddad96cd in pymain_run_command (command=<optimized out>)
2022-11-23T02:00:14.5119926Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T02:00:14.5121479Z #79 pymain_run_python (exitcode=0x7ffd66e2b1b0)
2022-11-23T02:00:14.5122152Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T02:00:14.5122437Z #80 Py_RunMain.localalias.0 ()
2022-11-23T02:00:14.5122898Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T02:00:14.5123430Z #81 0x00005564ddad97d9 in Py_BytesMain ()
2022-11-23T02:00:14.5123896Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T02:00:14.5140465Z #82 0x00007f076ae53c87 in __libc_start_main (main=0x5564dd96c650 <main>, 
2022-11-23T02:00:14.5140878Z     argc=5, argv=0x7ffd66e2b3b8, init=<optimized out>, fini=<optimized out>, 
2022-11-23T02:00:14.5141239Z     rtld_fini=<optimized out>, stack_end=0x7ffd66e2b3a8)
2022-11-23T02:00:14.5141579Z     at ../csu/libc-start.c:310
2022-11-23T02:00:14.5142357Z #83 0x00005564dda595d4 in _start ()
2022-11-23T02:00:16.3246254Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T02:00:16.3246571Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T02:00:16.3246902Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T02:00:16.3247379Z This is free software: you are free to change and redistribute it.
2022-11-23T02:00:16.3247710Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T02:00:16.3247984Z and "show warranty" for details.
2022-11-23T02:00:16.3248294Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T02:00:16.3248581Z Type "show configuration" for configuration details.
2022-11-23T02:00:16.3248852Z For bug reporting instructions, please see:
2022-11-23T02:00:16.3249116Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T02:00:16.3249405Z Find the GDB manual and other documentation resources online at:
2022-11-23T02:00:16.3249706Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T02:00:16.3249944Z For help, type "help".
2022-11-23T02:00:16.3250206Z Type "apropos word" to search for commands related to "word"...
2022-11-23T02:00:16.3684076Z Reading symbols from python...done.
2022-11-23T02:00:16.6872653Z 
2022-11-23T02:00:16.6873110Z warning: core file may not match specified executable file.
2022-11-23T02:00:16.8008097Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:16.8008688Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:16.8009244Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:16.8009672Z [New LWP 3391]
2022-11-23T02:00:16.8010122Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:16.8010680Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:16.8011090Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:16.8011351Z [New LWP 3406]
2022-11-23T02:00:16.8011565Z [New LWP 3395]
2022-11-23T02:00:16.8011778Z [New LWP 3405]
2022-11-23T02:00:16.8011955Z [New LWP 3397]
2022-11-23T02:00:16.8012400Z [New LWP 3424]
2022-11-23T02:00:16.8012584Z [New LWP 3422]
2022-11-23T02:00:16.8012759Z [New LWP 3400]
2022-11-23T02:00:16.8012939Z [New LWP 3416]
2022-11-23T02:00:16.8013121Z [New LWP 3408]
2022-11-23T02:00:16.8013294Z [New LWP 3415]
2022-11-23T02:00:16.8013509Z [New LWP 3418]
2022-11-23T02:00:16.8013772Z [New LWP 3413]
2022-11-23T02:00:16.8014019Z [New LWP 3414]
2022-11-23T02:00:16.8014228Z [New LWP 3431]
2022-11-23T02:00:16.8014460Z [New LWP 3417]
2022-11-23T02:00:16.8014635Z [New LWP 3420]
2022-11-23T02:00:16.8015832Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:16.8016419Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:16.9925742Z [Thread debugging using libthread_db enabled]
2022-11-23T02:00:16.9926201Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T02:00:22.2010569Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T02:00:22.2011203Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T02:00:22.2011922Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T02:00:22.2012331Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T02:00:22.2012638Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:22.2012938Z [Current thread is 1 (Thread 0x7f39380480c0 (LWP 3391))]
2022-11-23T02:00:22.2044536Z To enable execution of this file add
2022-11-23T02:00:22.2044948Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T02:00:22.2045441Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:22.2045739Z To completely disable this security protection add
2022-11-23T02:00:22.2046056Z 	set auto-load safe-path /
2022-11-23T02:00:22.2046312Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:22.2046615Z For more information about this security protection see the
2022-11-23T02:00:22.2046989Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T02:00:22.2047311Z 	info "(gdb)Auto-loading safe path"
2022-11-23T02:00:22.2077013Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:22.2077606Z #1  0x00007f38ff08dcbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T02:00:22.2078362Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T02:00:22.2160896Z #2  <signal handler called>
2022-11-23T02:00:22.2161551Z #3  0x00007f3936b026f0 in string_at (ptr=0x0, size=-1)
2022-11-23T02:00:22.2162490Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T02:00:22.2163014Z #4  0x00007f3937efd9dd in ffi_call_unix64 ()
2022-11-23T02:00:22.2163706Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:22.2164889Z #5  0x00007f3937efd067 in ffi_call_int ()
2022-11-23T02:00:22.2165473Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:22.2166009Z #6  0x00007f3936b0ea25 in _call_function_pointer (
2022-11-23T02:00:22.2166471Z     argtypecount=<optimized out>, argcount=2, resmem=0x7fff6805f9d0, 
2022-11-23T02:00:22.2166988Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T02:00:22.2167376Z     pProc=0x7f3936b026b5 <string_at>, flags=4357)
2022-11-23T02:00:22.2167737Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T02:00:22.2168002Z #7  _ctypes_callproc ()
2022-11-23T02:00:22.2168326Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T02:00:22.2168633Z #8  0x00007f3936b0b49f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T02:00:22.2168914Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T02:00:22.2169405Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T02:00:22.2170005Z #9  0x000055981381d52e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T02:00:22.2170422Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T02:00:22.2174834Z #10 0x00005598138bc44b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2175282Z     nargsf=<optimized out>, args=0x7f384577c358, callable=<optimized out>, 
2022-11-23T02:00:22.2175607Z     tstate=<optimized out>)
2022-11-23T02:00:22.2176159Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T02:00:22.2176531Z #11 PyObject_Vectorcall ()
2022-11-23T02:00:22.2176901Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2177209Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2177557Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6805fcf0, 
2022-11-23T02:00:22.2177836Z     tstate=<optimized out>)
2022-11-23T02:00:22.2178174Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2178461Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:22.2179160Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:22.2179452Z #14 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2179861Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2180246Z #15 _PyEval_Vector ()
2022-11-23T02:00:22.2180682Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2181413Z #16 0x00005598137e02a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2181790Z     nargsf=<optimized out>, args=0x7f384577c1c0, callable=0x7f3936d87760, 
2022-11-23T02:00:22.2182150Z     tstate=<optimized out>)
2022-11-23T02:00:22.2182573Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2182888Z #17 PyObject_Vectorcall ()
2022-11-23T02:00:22.2183297Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2183884Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2184234Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6805ff20, 
2022-11-23T02:00:22.2184486Z     tstate=<optimized out>)
2022-11-23T02:00:22.2184833Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2185161Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2185454Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2185946Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T02:00:22.2186332Z #20 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2186792Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2187083Z #21 _PyEval_Vector ()
2022-11-23T02:00:22.2187408Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2200248Z #22 0x0000559813873ed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T02:00:22.2200597Z     args=0x7fff680600b0, callable=0x7f38468cdd80, tstate=0x559814206bf0)
2022-11-23T02:00:22.2201502Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2201968Z #23 vectorcall_unbound ()
2022-11-23T02:00:22.2202343Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T02:00:22.2202681Z #24 vectorcall_method (nargs=2, args=0x7fff680600b0, name=0x559813a879e0 <id>)
2022-11-23T02:00:22.2203077Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T02:00:22.2203353Z #25 slot_mp_subscript ()
2022-11-23T02:00:22.2203919Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T02:00:22.2204276Z #26 0x0000559813895656 in PyObject_GetItem.localalias.27 ()
2022-11-23T02:00:22.2204755Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T02:00:22.2205139Z #27 0x00005598138bcd8a in _PyEval_EvalFrameDefault ()
2022-11-23T02:00:22.2205589Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T02:00:22.2205896Z #28 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2206273Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2206545Z #29 _PyEval_Vector ()
2022-11-23T02:00:22.2206875Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2210190Z #30 0x00005598137df425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2210542Z     nargsf=<optimized out>, args=0x7f3846acea48, callable=0x7f3936d85510, 
2022-11-23T02:00:22.2211042Z     tstate=<optimized out>)
2022-11-23T02:00:22.2211508Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2211798Z #31 PyObject_Vectorcall ()
2022-11-23T02:00:22.2212274Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2212634Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2213028Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68060410, 
2022-11-23T02:00:22.2213361Z     tstate=<optimized out>)
2022-11-23T02:00:22.2213708Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2214045Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2214322Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2214661Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:22.2214956Z #34 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2215332Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2215601Z #35 _PyEval_Vector ()
2022-11-23T02:00:22.2215934Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2217538Z #36 0x00005598137df9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2218109Z     nargsf=<optimized out>, args=0x559814364038, callable=0x7f384f61e8c0, 
2022-11-23T02:00:22.2218542Z     tstate=<optimized out>)
2022-11-23T02:00:22.2219356Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2219789Z #37 PyObject_Vectorcall ()
2022-11-23T02:00:22.2220257Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2220579Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2220947Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68060640, 
2022-11-23T02:00:22.2221313Z     tstate=<optimized out>)
2022-11-23T02:00:22.2221815Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2222321Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2222645Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2222995Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:22.2223281Z #40 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2223653Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2223914Z #41 _PyEval_Vector ()
2022-11-23T02:00:22.2224237Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2225022Z #42 0x0000559813822faa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T02:00:22.2225403Z     tuple=0x7f3846a9f240, callable=0x7f384f61dbd0)
2022-11-23T02:00:22.2226045Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T02:00:22.2227801Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T02:00:22.2228171Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T02:00:22.2230680Z #44 0x00005598138be774 in PyObject_Call (kwargs=0x7f3936ece680, 
2022-11-23T02:00:22.2231105Z     args=0x7f3846a9f240, callable=0x7f384f61dbd0)
2022-11-23T02:00:22.2233639Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T02:00:22.2234929Z #45 do_call_core (kwdict=0x7f3936ece680, callargs=0x7f3846a9f240, 
2022-11-23T02:00:22.2235242Z     func=0x7f384f61dbd0, trace_info=0x7fff680608d0, tstate=<optimized out>)
2022-11-23T02:00:22.2235940Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T02:00:22.2236357Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:22.2236796Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T02:00:22.2237083Z #47 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2237465Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2237743Z #48 _PyEval_Vector ()
2022-11-23T02:00:22.2238200Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2238907Z #49 0x00005598137df9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2239246Z     nargsf=<optimized out>, args=0x5598191559f8, callable=0x7f3936ef9630, 
2022-11-23T02:00:22.2239608Z     tstate=<optimized out>)
2022-11-23T02:00:22.2240102Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2240414Z #50 PyObject_Vectorcall ()
2022-11-23T02:00:22.2240957Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2241337Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2241640Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68060b00, 
2022-11-23T02:00:22.2241893Z     tstate=<optimized out>)
2022-11-23T02:00:22.2242237Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2242567Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2242918Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2243267Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:22.2243549Z #53 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2243921Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2244205Z #54 _PyEval_Vector ()
2022-11-23T02:00:22.2244665Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2246226Z #55 0x00005598137df9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2246647Z     nargsf=<optimized out>, args=0x5598142a3330, callable=0x7f3936ef9fc0, 
2022-11-23T02:00:22.2246999Z     tstate=<optimized out>)
2022-11-23T02:00:22.2247506Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2247888Z #56 PyObject_Vectorcall ()
2022-11-23T02:00:22.2248390Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2248776Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2249062Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68060d30, 
2022-11-23T02:00:22.2249313Z     tstate=<optimized out>)
2022-11-23T02:00:22.2249656Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2249990Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2250328Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2250675Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:22.2251035Z #59 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2251410Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2251689Z #60 _PyEval_Vector ()
2022-11-23T02:00:22.2252106Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2253813Z #61 0x00005598137df425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:22.2254204Z     nargsf=<optimized out>, args=0x7f3937044200, callable=0x7f3936d7ed40, 
2022-11-23T02:00:22.2254521Z     tstate=<optimized out>)
2022-11-23T02:00:22.2255498Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2256143Z #62 PyObject_Vectorcall ()
2022-11-23T02:00:22.2256911Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2257249Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:22.2257533Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68060f60, 
2022-11-23T02:00:22.2257794Z     tstate=<optimized out>)
2022-11-23T02:00:22.2258148Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2258543Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2258948Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2259299Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:22.2259580Z #65 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2260016Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2260419Z #66 _PyEval_Vector ()
2022-11-23T02:00:22.2260786Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2261100Z #67 0x00005598137e00b5 in _PyObject_VectorcallTstate (kwnames=0x7f393703bec0, 
2022-11-23T02:00:22.2261558Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f3936d7ecb0, 
2022-11-23T02:00:22.2261939Z     tstate=<optimized out>)
2022-11-23T02:00:22.2262467Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:22.2262784Z #68 PyObject_Vectorcall ()
2022-11-23T02:00:22.2263299Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:22.2263716Z #69 call_function (kwnames=0x7f393703bec0, oparg=<optimized out>, 
2022-11-23T02:00:22.2264116Z     pp_stack=<synthetic pointer>, trace_info=0x7fff68061190, 
2022-11-23T02:00:22.2264431Z     tstate=<optimized out>)
2022-11-23T02:00:22.2264816Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:22.2265141Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:22.2265416Z     throwflag=<optimized out>)
2022-11-23T02:00:22.2265758Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T02:00:22.2266052Z #71 0x000055981386a742 in _PyEval_EvalFrame ()
2022-11-23T02:00:22.2266421Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:22.2266697Z #72 _PyEval_Vector ()
2022-11-23T02:00:22.2267030Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:22.2268796Z #73 0x0000559813879578 in PyEval_EvalCode (co=0x7f3936fdc920, 
2022-11-23T02:00:22.2269082Z     globals=0x7f3936fce480, locals=<optimized out>)
2022-11-23T02:00:22.2269484Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T02:00:22.2270690Z #74 0x000055981392f8fb in run_eval_code_obj ()
2022-11-23T02:00:22.2271137Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T02:00:22.2274728Z #75 0x00005598139683a5 in run_mod ()
2022-11-23T02:00:22.2275210Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T02:00:22.2275689Z #76 0x000055981396d1ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T02:00:22.2276220Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T02:00:22.2277495Z #77 0x000055981396d22c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T02:00:22.2277953Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T02:00:22.2280253Z #78 0x000055981396d6cd in pymain_run_command (command=<optimized out>)
2022-11-23T02:00:22.2280748Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T02:00:22.2281624Z #79 pymain_run_python (exitcode=0x7fff68061460)
2022-11-23T02:00:22.2282191Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T02:00:22.2282539Z #80 Py_RunMain.localalias.0 ()
2022-11-23T02:00:22.2282886Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T02:00:22.2283343Z #81 0x000055981396d7d9 in Py_BytesMain ()
2022-11-23T02:00:22.2283810Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T02:00:22.2299842Z #82 0x00007f39370acc87 in __libc_start_main (main=0x559813800650 <main>, 
2022-11-23T02:00:22.2300240Z     argc=5, argv=0x7fff68061668, init=<optimized out>, fini=<optimized out>, 
2022-11-23T02:00:22.2300623Z     rtld_fini=<optimized out>, stack_end=0x7fff68061658)
2022-11-23T02:00:22.2300916Z     at ../csu/libc-start.c:310
2022-11-23T02:00:22.2302637Z #83 0x00005598138ed5d4 in _start ()
2022-11-23T02:00:22.3895133Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T02:00:22.3895798Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T02:00:22.3896248Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T02:00:22.3896710Z This is free software: you are free to change and redistribute it.
2022-11-23T02:00:22.3897159Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T02:00:22.3897535Z and "show warranty" for details.
2022-11-23T02:00:22.3897979Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T02:00:22.3898362Z Type "show configuration" for configuration details.
2022-11-23T02:00:22.3898746Z For bug reporting instructions, please see:
2022-11-23T02:00:22.3899393Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T02:00:22.3899790Z Find the GDB manual and other documentation resources online at:
2022-11-23T02:00:22.3900195Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T02:00:22.3900524Z For help, type "help".
2022-11-23T02:00:22.3900873Z Type "apropos word" to search for commands related to "word"...
2022-11-23T02:00:22.4364512Z Reading symbols from python...done.
2022-11-23T02:00:22.7572340Z 
2022-11-23T02:00:22.7572916Z warning: core file may not match specified executable file.
2022-11-23T02:00:22.8707804Z [New LWP 4124]
2022-11-23T02:00:22.8708727Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:22.8709739Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:22.8710944Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:22.8711988Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:22.8713021Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:22.8713554Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:22.8713929Z [New LWP 4137]
2022-11-23T02:00:22.8714160Z [New LWP 4151]
2022-11-23T02:00:22.8714350Z [New LWP 4150]
2022-11-23T02:00:22.8714598Z [New LWP 4145]
2022-11-23T02:00:22.8714775Z [New LWP 4134]
2022-11-23T02:00:22.8714953Z [New LWP 4132]
2022-11-23T02:00:22.8715196Z [New LWP 4149]
2022-11-23T02:00:22.8715379Z [New LWP 4147]
2022-11-23T02:00:22.8715577Z [New LWP 4159]
2022-11-23T02:00:22.8716173Z [New LWP 4136]
2022-11-23T02:00:22.8716421Z [New LWP 4148]
2022-11-23T02:00:22.8716660Z [New LWP 4152]
2022-11-23T02:00:22.8716847Z [New LWP 4153]
2022-11-23T02:00:22.8717020Z [New LWP 4154]
2022-11-23T02:00:22.8717199Z [New LWP 4157]
2022-11-23T02:00:22.8717379Z [New LWP 4163]
2022-11-23T02:00:22.8717934Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:22.8718494Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:23.0633931Z [Thread debugging using libthread_db enabled]
2022-11-23T02:00:23.0634600Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T02:00:28.2812608Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T02:00:28.2813279Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T02:00:28.2813875Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T02:00:28.2814272Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T02:00:28.2814865Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:28.2815206Z [Current thread is 1 (Thread 0x7f0fe46940c0 (LWP 4124))]
2022-11-23T02:00:28.2844346Z To enable execution of this file add
2022-11-23T02:00:28.2844885Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T02:00:28.2845204Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:28.2845492Z To completely disable this security protection add
2022-11-23T02:00:28.2846037Z 	set auto-load safe-path /
2022-11-23T02:00:28.2846326Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:28.2846616Z For more information about this security protection see the
2022-11-23T02:00:28.2847012Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T02:00:28.2847330Z 	info "(gdb)Auto-loading safe path"
2022-11-23T02:00:28.2877106Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:28.2878665Z #1  0x00007f0fab6d9cbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T02:00:28.2879140Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T02:00:28.2974998Z #2  <signal handler called>
2022-11-23T02:00:28.2975530Z #3  0x00007f0fe314e6f0 in string_at (ptr=0x0, size=-1)
2022-11-23T02:00:28.2975995Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T02:00:28.2976283Z #4  0x00007f0fe45499dd in ffi_call_unix64 ()
2022-11-23T02:00:28.2976604Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:28.2981828Z #5  0x00007f0fe4549067 in ffi_call_int ()
2022-11-23T02:00:28.2982357Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:28.2985672Z #6  0x00007f0fe315aa25 in _call_function_pointer (
2022-11-23T02:00:28.2986124Z     argtypecount=<optimized out>, argcount=2, resmem=0x7ffc045201b0, 
2022-11-23T02:00:28.2986609Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T02:00:28.2987023Z     pProc=0x7f0fe314e6b5 <string_at>, flags=4357)
2022-11-23T02:00:28.2987492Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T02:00:28.2987759Z #7  _ctypes_callproc ()
2022-11-23T02:00:28.2988148Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T02:00:28.2988501Z #8  0x00007f0fe315749f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T02:00:28.2988893Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T02:00:28.2989293Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T02:00:28.2989608Z #9  0x0000561fc045352e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T02:00:28.2990259Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T02:00:28.2995435Z #10 0x0000561fc04f244b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.2995899Z     nargsf=<optimized out>, args=0x7f0ef1dcc358, callable=<optimized out>, 
2022-11-23T02:00:28.2996263Z     tstate=<optimized out>)
2022-11-23T02:00:28.2996740Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T02:00:28.2997057Z #11 PyObject_Vectorcall ()
2022-11-23T02:00:28.2997561Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.2997990Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.2998364Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc045204d0, 
2022-11-23T02:00:28.2998714Z     tstate=<optimized out>)
2022-11-23T02:00:28.2999191Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.2999569Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:28.3000034Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:28.3000418Z #14 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3000926Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3001202Z #15 _PyEval_Vector ()
2022-11-23T02:00:28.3001534Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3003943Z #16 0x0000561fc04162a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3004364Z     nargsf=<optimized out>, args=0x7f0ef1dcc1c0, callable=0x7f0fe33d3760, 
2022-11-23T02:00:28.3004732Z     tstate=<optimized out>)
2022-11-23T02:00:28.3005287Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3005585Z #17 PyObject_Vectorcall ()
2022-11-23T02:00:28.3005994Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3006413Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3006714Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04520700, 
2022-11-23T02:00:28.3006956Z     tstate=<optimized out>)
2022-11-23T02:00:28.3007301Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3007906Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3008340Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3008828Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T02:00:28.3009435Z #20 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3009926Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3010202Z #21 _PyEval_Vector ()
2022-11-23T02:00:28.3010539Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3016456Z #22 0x0000561fc04a9ed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T02:00:28.3017023Z     args=0x7ffc04520890, callable=0x7f0ef2f15d80, tstate=0x561fc15e4bf0)
2022-11-23T02:00:28.3017510Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3017793Z #23 vectorcall_unbound ()
2022-11-23T02:00:28.3018183Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T02:00:28.3018624Z #24 vectorcall_method (nargs=2, args=0x7ffc04520890, name=0x561fc06bd9e0 <id>)
2022-11-23T02:00:28.3019438Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T02:00:28.3019790Z #25 slot_mp_subscript ()
2022-11-23T02:00:28.3020274Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T02:00:28.3020637Z #26 0x0000561fc04cb656 in PyObject_GetItem.localalias.27 ()
2022-11-23T02:00:28.3021271Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T02:00:28.3021877Z #27 0x0000561fc04f2d8a in _PyEval_EvalFrameDefault ()
2022-11-23T02:00:28.3022375Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T02:00:28.3024005Z #28 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3024683Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3024982Z #29 _PyEval_Vector ()
2022-11-23T02:00:28.3025315Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3029526Z #30 0x0000561fc0415425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3030302Z     nargsf=<optimized out>, args=0x7f0ef3116bf8, callable=0x7f0fe33d1510, 
2022-11-23T02:00:28.3030663Z     tstate=<optimized out>)
2022-11-23T02:00:28.3031240Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3031538Z #31 PyObject_Vectorcall ()
2022-11-23T02:00:28.3031887Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3032204Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3032628Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04520bf0, 
2022-11-23T02:00:28.3032879Z     tstate=<optimized out>)
2022-11-23T02:00:28.3033286Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3033645Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3034003Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3034449Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:28.3034827Z #34 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3035282Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3035554Z #35 _PyEval_Vector ()
2022-11-23T02:00:28.3035979Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3037829Z #36 0x0000561fc04159f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3038389Z     nargsf=<optimized out>, args=0x561fc1742038, callable=0x7f0efbc6a8c0, 
2022-11-23T02:00:28.3038741Z     tstate=<optimized out>)
2022-11-23T02:00:28.3039211Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3039495Z #37 PyObject_Vectorcall ()
2022-11-23T02:00:28.3039859Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3040242Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3040604Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04520e20, 
2022-11-23T02:00:28.3040944Z     tstate=<optimized out>)
2022-11-23T02:00:28.3041380Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3041781Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3042100Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3042540Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:28.3042937Z #40 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3043317Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3043594Z #41 _PyEval_Vector ()
2022-11-23T02:00:28.3043914Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3048378Z #42 0x0000561fc0458faa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T02:00:28.3048830Z     tuple=0x7f0ef30eb240, callable=0x7f0efbc69bd0)
2022-11-23T02:00:28.3049366Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T02:00:28.3049785Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T02:00:28.3050316Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T02:00:28.3053262Z #44 0x0000561fc04f4774 in PyObject_Call (kwargs=0x7f0fe351a700, 
2022-11-23T02:00:28.3053671Z     args=0x7f0ef30eb240, callable=0x7f0efbc69bd0)
2022-11-23T02:00:28.3054230Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T02:00:28.3056913Z #45 do_call_core (kwdict=0x7f0fe351a700, callargs=0x7f0ef30eb240, 
2022-11-23T02:00:28.3057490Z     func=0x7f0efbc69bd0, trace_info=0x7ffc045210b0, tstate=<optimized out>)
2022-11-23T02:00:28.3058085Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T02:00:28.3058485Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:28.3059201Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T02:00:28.3059623Z #47 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3060196Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3060608Z #48 _PyEval_Vector ()
2022-11-23T02:00:28.3061087Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3064462Z #49 0x0000561fc04159f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3065110Z     nargsf=<optimized out>, args=0x561fc6533428, callable=0x7f0fe3545630, 
2022-11-23T02:00:28.3065530Z     tstate=<optimized out>)
2022-11-23T02:00:28.3066067Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3066477Z #50 PyObject_Vectorcall ()
2022-11-23T02:00:28.3067003Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3067452Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3067856Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc045212e0, 
2022-11-23T02:00:28.3068218Z     tstate=<optimized out>)
2022-11-23T02:00:28.3068709Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3069197Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3069589Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3070095Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:28.3070519Z #53 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3071167Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3071583Z #54 _PyEval_Vector ()
2022-11-23T02:00:28.3072074Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3075687Z #55 0x0000561fc04159f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3076152Z     nargsf=<optimized out>, args=0x561fc1681330, callable=0x7f0fe3545fc0, 
2022-11-23T02:00:28.3076524Z     tstate=<optimized out>)
2022-11-23T02:00:28.3077070Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3077493Z #56 PyObject_Vectorcall ()
2022-11-23T02:00:28.3078019Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3078464Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3078877Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04521510, 
2022-11-23T02:00:28.3079239Z     tstate=<optimized out>)
2022-11-23T02:00:28.3079740Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3080234Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3080629Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3081132Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:28.3081548Z #59 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3082105Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3082669Z #60 _PyEval_Vector ()
2022-11-23T02:00:28.3083152Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3087765Z #61 0x0000561fc0415425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:28.3088248Z     nargsf=<optimized out>, args=0x7f0fe3690200, callable=0x7f0fe33cad40, 
2022-11-23T02:00:28.3088635Z     tstate=<optimized out>)
2022-11-23T02:00:28.3089176Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3089583Z #62 PyObject_Vectorcall ()
2022-11-23T02:00:28.3090099Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3090545Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:28.3090958Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04521740, 
2022-11-23T02:00:28.3091315Z     tstate=<optimized out>)
2022-11-23T02:00:28.3091825Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3092322Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3092723Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3093238Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:28.3093774Z #65 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3094360Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3094764Z #66 _PyEval_Vector ()
2022-11-23T02:00:28.3095297Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3096892Z #67 0x0000561fc04160b5 in _PyObject_VectorcallTstate (kwnames=0x7f0fe3687ec0, 
2022-11-23T02:00:28.3097356Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f0fe33cacb0, 
2022-11-23T02:00:28.3097748Z     tstate=<optimized out>)
2022-11-23T02:00:28.3098287Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:28.3098697Z #68 PyObject_Vectorcall ()
2022-11-23T02:00:28.3099394Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:28.3099865Z #69 call_function (kwnames=0x7f0fe3687ec0, oparg=<optimized out>, 
2022-11-23T02:00:28.3100275Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc04521970, 
2022-11-23T02:00:28.3100629Z     tstate=<optimized out>)
2022-11-23T02:00:28.3101118Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:28.3101582Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:28.3101972Z     throwflag=<optimized out>)
2022-11-23T02:00:28.3102496Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T02:00:28.3103389Z #71 0x0000561fc04a0742 in _PyEval_EvalFrame ()
2022-11-23T02:00:28.3103942Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:28.3104351Z #72 _PyEval_Vector ()
2022-11-23T02:00:28.3104829Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:28.3109595Z #73 0x0000561fc04af578 in PyEval_EvalCode (co=0x7f0fe3628920, 
2022-11-23T02:00:28.3110001Z     globals=0x7f0fe361a480, locals=<optimized out>)
2022-11-23T02:00:28.3110545Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T02:00:28.3113267Z #74 0x0000561fc05658fb in run_eval_code_obj ()
2022-11-23T02:00:28.3113817Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T02:00:28.3114866Z #75 0x0000561fc059e3a5 in run_mod ()
2022-11-23T02:00:28.3115742Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T02:00:28.3118548Z #76 0x0000561fc05a31ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T02:00:28.3118968Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T02:00:28.3121449Z #77 0x0000561fc05a322c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T02:00:28.3121970Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T02:00:28.3124908Z #78 0x0000561fc05a36cd in pymain_run_command (command=<optimized out>)
2022-11-23T02:00:28.3125545Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T02:00:28.3126266Z #79 pymain_run_python (exitcode=0x7ffc04521c40)
2022-11-23T02:00:28.3126822Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T02:00:28.3127189Z #80 Py_RunMain.localalias.0 ()
2022-11-23T02:00:28.3127547Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T02:00:28.3129372Z #81 0x0000561fc05a37d9 in Py_BytesMain ()
2022-11-23T02:00:28.3130150Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T02:00:28.3146948Z #82 0x00007f0fe36f8c87 in __libc_start_main (main=0x561fc0436650 <main>, 
2022-11-23T02:00:28.3147383Z     argc=5, argv=0x7ffc04521e48, init=<optimized out>, fini=<optimized out>, 
2022-11-23T02:00:28.3147763Z     rtld_fini=<optimized out>, stack_end=0x7ffc04521e38)
2022-11-23T02:00:28.3148076Z     at ../csu/libc-start.c:310
2022-11-23T02:00:28.3149571Z #83 0x0000561fc05235d4 in _start ()
2022-11-23T02:00:28.4859045Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T02:00:28.4859522Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T02:00:28.4860042Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T02:00:28.4860558Z This is free software: you are free to change and redistribute it.
2022-11-23T02:00:28.4860954Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T02:00:28.4861246Z and "show warranty" for details.
2022-11-23T02:00:28.4861550Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T02:00:28.4861829Z Type "show configuration" for configuration details.
2022-11-23T02:00:28.4862120Z For bug reporting instructions, please see:
2022-11-23T02:00:28.4862398Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T02:00:28.4862694Z Find the GDB manual and other documentation resources online at:
2022-11-23T02:00:28.4863152Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T02:00:28.4863499Z For help, type "help".
2022-11-23T02:00:28.4863753Z Type "apropos word" to search for commands related to "word"...
2022-11-23T02:00:28.5327531Z Reading symbols from python...done.
2022-11-23T02:00:28.8506851Z 
2022-11-23T02:00:28.8507749Z warning: core file may not match specified executable file.
2022-11-23T02:00:28.9637317Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:28.9637730Z [New LWP 4125]
2022-11-23T02:00:28.9638008Z [New LWP 4139]
2022-11-23T02:00:28.9638417Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:28.9638790Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:28.9639182Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:28.9639628Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:28.9640180Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:28.9640577Z [New LWP 4143]
2022-11-23T02:00:28.9640781Z [New LWP 4140]
2022-11-23T02:00:28.9640972Z [New LWP 4144]
2022-11-23T02:00:28.9641158Z [New LWP 4155]
2022-11-23T02:00:28.9641345Z [New LWP 4138]
2022-11-23T02:00:28.9641539Z [New LWP 4133]
2022-11-23T02:00:28.9641715Z [New LWP 4135]
2022-11-23T02:00:28.9641902Z [New LWP 4131]
2022-11-23T02:00:28.9642089Z [New LWP 4142]
2022-11-23T02:00:28.9642267Z [New LWP 4141]
2022-11-23T02:00:28.9642455Z [New LWP 4158]
2022-11-23T02:00:28.9642669Z [New LWP 4164]
2022-11-23T02:00:28.9642904Z [New LWP 4156]
2022-11-23T02:00:28.9643237Z [New LWP 4146]
2022-11-23T02:00:28.9643421Z [New LWP 4160]
2022-11-23T02:00:28.9644694Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T02:00:29.1551320Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T02:00:29.1552030Z [Thread debugging using libthread_db enabled]
2022-11-23T02:00:29.1552720Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T02:00:34.3610723Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T02:00:34.3611888Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T02:00:34.3612939Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T02:00:34.3613663Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T02:00:34.3614279Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:34.3614859Z [Current thread is 1 (Thread 0x7f7acc1ca0c0 (LWP 4125))]
2022-11-23T02:00:34.3641419Z To enable execution of this file add
2022-11-23T02:00:34.3641834Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T02:00:34.3642229Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:34.3642517Z To completely disable this security protection add
2022-11-23T02:00:34.3642798Z 	set auto-load safe-path /
2022-11-23T02:00:34.3643064Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T02:00:34.3643363Z For more information about this security protection see the
2022-11-23T02:00:34.3643735Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T02:00:34.3644046Z 	info "(gdb)Auto-loading safe path"
2022-11-23T02:00:34.3673935Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T02:00:34.3674263Z #1  0x00007f7a9320fcbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T02:00:34.3674683Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T02:00:34.3758616Z #2  <signal handler called>
2022-11-23T02:00:34.3758979Z #3  0x00007f7acac846f0 in string_at (ptr=0x0, size=-1)
2022-11-23T02:00:34.3759346Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T02:00:34.3759623Z #4  0x00007f7acc07f9dd in ffi_call_unix64 ()
2022-11-23T02:00:34.3759946Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:34.3762451Z #5  0x00007f7acc07f067 in ffi_call_int ()
2022-11-23T02:00:34.3763003Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T02:00:34.3765824Z #6  0x00007f7acac90a25 in _call_function_pointer (
2022-11-23T02:00:34.3766276Z     argtypecount=<optimized out>, argcount=2, resmem=0x7ffee7c5cbd0, 
2022-11-23T02:00:34.3766641Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T02:00:34.3766948Z     pProc=0x7f7acac846b5 <string_at>, flags=4357)
2022-11-23T02:00:34.3767480Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T02:00:34.3767786Z #7  _ctypes_callproc ()
2022-11-23T02:00:34.3768150Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T02:00:34.3768527Z #8  0x00007f7acac8d49f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T02:00:34.3768808Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T02:00:34.3769168Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T02:00:34.3769476Z #9  0x000055d8de87852e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T02:00:34.3769853Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T02:00:34.3773309Z #10 0x000055d8de91744b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3773783Z     nargsf=<optimized out>, args=0x7f79daa60358, callable=<optimized out>, 
2022-11-23T02:00:34.3774044Z     tstate=<optimized out>)
2022-11-23T02:00:34.3774496Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T02:00:34.3774793Z #11 PyObject_Vectorcall ()
2022-11-23T02:00:34.3775224Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3775969Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3776278Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5cef0, 
2022-11-23T02:00:34.3776559Z     tstate=<optimized out>)
2022-11-23T02:00:34.3777026Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3777369Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:34.3777727Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:34.3778010Z #14 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3778399Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3778675Z #15 _PyEval_Vector ()
2022-11-23T02:00:34.3779320Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3788350Z #16 0x000055d8de83b2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3788808Z     nargsf=<optimized out>, args=0x7f79daa601c0, callable=0x7f7acaf03760, 
2022-11-23T02:00:34.3789111Z     tstate=<optimized out>)
2022-11-23T02:00:34.3789618Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3790054Z #17 PyObject_Vectorcall ()
2022-11-23T02:00:34.3790465Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3790975Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3791302Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5d120, 
2022-11-23T02:00:34.3791592Z     tstate=<optimized out>)
2022-11-23T02:00:34.3792379Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3792712Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3793751Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3794457Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T02:00:34.3794866Z #20 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3795263Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3795542Z #21 _PyEval_Vector ()
2022-11-23T02:00:34.3795876Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3799868Z #22 0x000055d8de8ceed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T02:00:34.3800391Z     args=0x7ffee7c5d2b0, callable=0x7f79daa11d80, tstate=0x55d8dfc88bf0)
2022-11-23T02:00:34.3801087Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3801545Z #23 vectorcall_unbound ()
2022-11-23T02:00:34.3802005Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T02:00:34.3802341Z #24 vectorcall_method (nargs=2, args=0x7ffee7c5d2b0, name=0x55d8deae29e0 <id>)
2022-11-23T02:00:34.3802761Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T02:00:34.3803037Z #25 slot_mp_subscript ()
2022-11-23T02:00:34.3803381Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T02:00:34.3803692Z #26 0x000055d8de8f0656 in PyObject_GetItem.localalias.27 ()
2022-11-23T02:00:34.3804138Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T02:00:34.3804625Z #27 0x000055d8de917d8a in _PyEval_EvalFrameDefault ()
2022-11-23T02:00:34.3805198Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T02:00:34.3806249Z #28 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3806940Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3807284Z #29 _PyEval_Vector ()
2022-11-23T02:00:34.3807617Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3810783Z #30 0x000055d8de83a425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3811237Z     nargsf=<optimized out>, args=0x7f79dac12a48, callable=0x7f7acaf01510, 
2022-11-23T02:00:34.3811598Z     tstate=<optimized out>)
2022-11-23T02:00:34.3812125Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3812444Z #31 PyObject_Vectorcall ()
2022-11-23T02:00:34.3812823Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3813137Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3813448Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5d610, 
2022-11-23T02:00:34.3813775Z     tstate=<optimized out>)
2022-11-23T02:00:34.3814132Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3814624Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3814895Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3815241Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:34.3815541Z #34 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3815919Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3816192Z #35 _PyEval_Vector ()
2022-11-23T02:00:34.3816521Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3818137Z #36 0x000055d8de83a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3818459Z     nargsf=<optimized out>, args=0x55d8dfcded58, callable=0x7f79e379e8c0, 
2022-11-23T02:00:34.3818772Z     tstate=<optimized out>)
2022-11-23T02:00:34.3819391Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3819726Z #37 PyObject_Vectorcall ()
2022-11-23T02:00:34.3820085Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3820443Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3820732Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5d840, 
2022-11-23T02:00:34.3820976Z     tstate=<optimized out>)
2022-11-23T02:00:34.3821316Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3821649Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3821951Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3822388Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:34.3822779Z #40 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3823289Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3823568Z #41 _PyEval_Vector ()
2022-11-23T02:00:34.3823903Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3826423Z #42 0x000055d8de87dfaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T02:00:34.3826821Z     tuple=0x7f79dabe3240, callable=0x7f79e379dbd0)
2022-11-23T02:00:34.3827352Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T02:00:34.3827645Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T02:00:34.3828000Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T02:00:34.3830476Z #44 0x000055d8de919774 in PyObject_Call (kwargs=0x7f7acb04e700, 
2022-11-23T02:00:34.3830847Z     args=0x7f79dabe3240, callable=0x7f79e379dbd0)
2022-11-23T02:00:34.3831412Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T02:00:34.3833991Z #45 do_call_core (kwdict=0x7f7acb04e700, callargs=0x7f79dabe3240, 
2022-11-23T02:00:34.3834372Z     func=0x7f79e379dbd0, trace_info=0x7ffee7c5dad0, tstate=<optimized out>)
2022-11-23T02:00:34.3834938Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T02:00:34.3835317Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T02:00:34.3835668Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T02:00:34.3835967Z #47 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3836344Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3836624Z #48 _PyEval_Vector ()
2022-11-23T02:00:34.3836984Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3839170Z #49 0x000055d8de83a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3839553Z     nargsf=<optimized out>, args=0x55d8e4bd7438, callable=0x7f7acb079630, 
2022-11-23T02:00:34.3839900Z     tstate=<optimized out>)
2022-11-23T02:00:34.3840537Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3840926Z #50 PyObject_Vectorcall ()
2022-11-23T02:00:34.3841318Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3841642Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3841932Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5dd00, 
2022-11-23T02:00:34.3842184Z     tstate=<optimized out>)
2022-11-23T02:00:34.3842511Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3842896Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3843437Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3843867Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:34.3844150Z #53 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3844525Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3844804Z #54 _PyEval_Vector ()
2022-11-23T02:00:34.3845121Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3847723Z #55 0x000055d8de83a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3848461Z     nargsf=<optimized out>, args=0x55d8dfd25330, callable=0x7f7acb079fc0, 
2022-11-23T02:00:34.3848902Z     tstate=<optimized out>)
2022-11-23T02:00:34.3849405Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3849855Z #56 PyObject_Vectorcall ()
2022-11-23T02:00:34.3850429Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3850926Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3851368Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5df30, 
2022-11-23T02:00:34.3851767Z     tstate=<optimized out>)
2022-11-23T02:00:34.3852310Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3852823Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3853241Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3853578Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T02:00:34.3853877Z #59 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3854251Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3854527Z #60 _PyEval_Vector ()
2022-11-23T02:00:34.3854847Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3856094Z #61 0x000055d8de83a425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T02:00:34.3856682Z     nargsf=<optimized out>, args=0x7f7acb1c4200, callable=0x7f7acaefad40, 
2022-11-23T02:00:34.3857096Z     tstate=<optimized out>)
2022-11-23T02:00:34.3857624Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3857988Z #62 PyObject_Vectorcall ()
2022-11-23T02:00:34.3858352Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3858660Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T02:00:34.3859165Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5e160, 
2022-11-23T02:00:34.3859420Z     tstate=<optimized out>)
2022-11-23T02:00:34.3859873Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3860312Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3860678Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3861058Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T02:00:34.3861353Z #65 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3861727Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3862101Z #66 _PyEval_Vector ()
2022-11-23T02:00:34.3862430Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3864018Z #67 0x000055d8de83b0b5 in _PyObject_VectorcallTstate (kwnames=0x7f7acb1bbec0, 
2022-11-23T02:00:34.3864468Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f7acaefacb0, 
2022-11-23T02:00:34.3864829Z     tstate=<optimized out>)
2022-11-23T02:00:34.3865302Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T02:00:34.3865591Z #68 PyObject_Vectorcall ()
2022-11-23T02:00:34.3865970Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T02:00:34.3866375Z #69 call_function (kwnames=0x7f7acb1bbec0, oparg=<optimized out>, 
2022-11-23T02:00:34.3866775Z     pp_stack=<synthetic pointer>, trace_info=0x7ffee7c5e390, 
2022-11-23T02:00:34.3867109Z     tstate=<optimized out>)
2022-11-23T02:00:34.3867541Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T02:00:34.3867897Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T02:00:34.3868239Z     throwflag=<optimized out>)
2022-11-23T02:00:34.3868710Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T02:00:34.3869054Z #71 0x000055d8de8c5742 in _PyEval_EvalFrame ()
2022-11-23T02:00:34.3869436Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T02:00:34.3869714Z #72 _PyEval_Vector ()
2022-11-23T02:00:34.3870047Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T02:00:34.3875024Z #73 0x000055d8de8d4578 in PyEval_EvalCode (co=0x7f7acb15c920, 
2022-11-23T02:00:34.3875431Z     globals=0x7f7acb14e480, locals=<optimized out>)
2022-11-23T02:00:34.3875971Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T02:00:34.3876303Z #74 0x000055d8de98a8fb in run_eval_code_obj ()
2022-11-23T02:00:34.3876673Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T02:00:34.3877256Z #75 0x000055d8de9c33a5 in run_mod ()
2022-11-23T02:00:34.3877738Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T02:00:34.3880194Z #76 0x000055d8de9c81ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T02:00:34.3880748Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T02:00:34.3882489Z #77 0x000055d8de9c822c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T02:00:34.3883055Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T02:00:34.3885160Z #78 0x000055d8de9c86cd in pymain_run_command (command=<optimized out>)
2022-11-23T02:00:34.3885858Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T02:00:34.3886577Z #79 pymain_run_python (exitcode=0x7ffee7c5e660)
2022-11-23T02:00:34.3887090Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T02:00:34.3887452Z #80 Py_RunMain.localalias.0 ()
2022-11-23T02:00:34.3887827Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T02:00:34.3888214Z #81 0x000055d8de9c87d9 in Py_BytesMain ()
2022-11-23T02:00:34.3888683Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T02:00:34.3905331Z #82 0x00007f7acb22ec87 in __libc_start_main (main=0x55d8de85b650 <main>, 
2022-11-23T02:00:34.3905759Z     argc=5, argv=0x7ffee7c5e868, init=<optimized out>, fini=<optimized out>, 
2022-11-23T02:00:34.3906169Z     rtld_fini=<optimized out>, stack_end=0x7ffee7c5e858)
2022-11-23T02:00:34.3906589Z     at ../csu/libc-start.c:310
2022-11-23T02:00:34.3907124Z #83 0x000055d8de9485d4 in _start ()
2022-11-23T02:00:37.0011078Z ##[group]Run set -x
2022-11-23T02:00:37.0011296Z set -x
2022-11-23T02:00:37.0011535Z python3 -m pip install -r requirements.txt
2022-11-23T02:00:37.0011798Z python3 -m pip install boto3==1.19.12
2022-11-23T02:00:37.0012120Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T02:00:37.0022922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:37.0023151Z env:
2022-11-23T02:00:37.0023342Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:37.0023556Z   GPU_FLAG: --gpus all
2022-11-23T02:00:37.0023832Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:00:37.0024117Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T02:00:37.0024324Z   BRANCH: master
2022-11-23T02:00:37.0024510Z   TEST_CONFIG: default
2022-11-23T02:00:37.0024705Z   SHARD_NUMBER: 4
2022-11-23T02:00:37.0024969Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T02:00:37.0025247Z   PR_NUMBER: 
2022-11-23T02:00:37.0025450Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T02:00:37.0025671Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T02:00:37.0025916Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T02:00:37.0026130Z   TAG: 
2022-11-23T02:00:37.0026305Z   WORKFLOW_ID: 3528293554
2022-11-23T02:00:37.0026640Z   GITHUB_TOKEN: ***
2022-11-23T02:00:37.0026849Z   GHA_WORKFLOW_JOB_ID: 9655216275
2022-11-23T02:00:37.0027047Z ##[endgroup]
2022-11-23T02:00:37.0060502Z + python3 -m pip install -r requirements.txt
2022-11-23T02:00:37.2220789Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T02:00:37.2498206Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2022-11-23T02:00:37.2526555Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4)
2022-11-23T02:00:37.2536193Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2022-11-23T02:00:37.2543523Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.0)
2022-11-23T02:00:37.2971123Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6)
2022-11-23T02:00:37.2981394Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1)
2022-11-23T02:00:37.3071988Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0)
2022-11-23T02:00:37.3079303Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0)
2022-11-23T02:00:37.3286355Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3)
2022-11-23T02:00:37.3481748Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0)
2022-11-23T02:00:37.3490713Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6)
2022-11-23T02:00:37.3496045Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0)
2022-11-23T02:00:37.3507174Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1)
2022-11-23T02:00:37.3527368Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.8.0)
2022-11-23T02:00:37.3608852Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3)
2022-11-23T02:00:37.3792634Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2)
2022-11-23T02:00:37.3816306Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4)
2022-11-23T02:00:37.3835252Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0)
2022-11-23T02:00:37.3846068Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4)
2022-11-23T02:00:37.3863882Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0)
2022-11-23T02:00:37.4149780Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4)
2022-11-23T02:00:37.4161165Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24)
2022-11-23T02:00:37.4169474Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12)
2022-11-23T02:00:37.4352527Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12)
2022-11-23T02:00:37.4371959Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1)
2022-11-23T02:00:37.4435474Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1)
2022-11-23T02:00:37.5024303Z + python3 -m pip install boto3==1.19.12
2022-11-23T02:00:37.7183824Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T02:00:37.7393945Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2022-11-23T02:00:37.7445085Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2022-11-23T02:00:37.7458490Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12)
2022-11-23T02:00:37.7505574Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2)
2022-11-23T02:00:37.7537740Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12)
2022-11-23T02:00:37.7717024Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2022-11-23T02:00:37.7735907Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-11-23T02:00:37.9748987Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T02:01:27.5937190Z [scribe] Scribe access token not provided, sending report via boto3...
2022-11-23T02:01:27.5937462Z 
2022-11-23T02:01:27.5939885Z ----- Historic stats comparison result ------
2022-11-23T02:01:27.5940209Z 
2022-11-23T02:01:27.5942954Z     job: linux-bionic-cuda11.6-py3.10-gcc7-sm86
2022-11-23T02:01:27.5944939Z     commit: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T02:01:27.5945104Z 
2022-11-23T02:01:27.5945271Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-11-23T02:01:27.5945458Z 
2022-11-23T02:01:27.5946681Z     : (master)
2022-11-23T02:01:27.5946908Z     |
2022-11-23T02:01:27.5947272Z     * 1cfd3858ac (HEAD)              total time  3665.23s
2022-11-23T02:01:27.5969753Z     * 26322544b8 (base)   4 reports, total time  4572.39s ± 1263.81s
2022-11-23T02:01:27.5970148Z     * 7f4b4d2827          5 reports, total time  4743.32s ± 1163.75s
2022-11-23T02:01:27.5970480Z     * b50699f247          5 reports, total time  4438.84s ± 1280.32s
2022-11-23T02:01:27.5970808Z     * 8bf8e4d71e          5 reports, total time  4700.09s ± 1132.60s
2022-11-23T02:01:27.5971150Z     * ce856cee7e          5 reports, total time  4687.91s ± 1085.79s
2022-11-23T02:01:27.5971466Z     * 391b593ca2          5 reports, total time  4416.09s ± 1295.94s
2022-11-23T02:01:27.5971814Z     * 5bba783d21          5 reports, total time  4470.38s ± 1286.32s
2022-11-23T02:01:27.5972142Z     * ea920a1115          5 reports, total time  4427.34s ± 1301.92s
2022-11-23T02:01:27.5972459Z     * 74e62a1fef          5 reports, total time  4703.49s ± 1123.58s
2022-11-23T02:01:27.5972782Z     * 00b7d8ef23          5 reports, total time  4710.35s ± 1074.95s
2022-11-23T02:01:27.5972993Z     |
2022-11-23T02:01:27.5973147Z     :
2022-11-23T02:01:27.5973247Z 
2022-11-23T02:01:27.5973374Z Removed  (across  408 suites)     0 tests, totaling     0.00s
2022-11-23T02:01:27.5973697Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-11-23T02:01:27.5973957Z Added    (across  114 suites) 48595 tests, totaling +3665.23s
2022-11-23T02:01:27.7076271Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2022-11-23T02:01:27.7076525Z with:
2022-11-23T02:01:27.7076864Z env:
2022-11-23T02:01:27.7077053Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:01:27.7077278Z   GPU_FLAG: --gpus all
2022-11-23T02:01:27.7077551Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:01:27.7077820Z ##[endgroup]
2022-11-23T02:01:27.7092601Z ##[group]Run set -eou pipefail
2022-11-23T02:01:27.7092838Z set -eou pipefail
2022-11-23T02:01:27.7093035Z 
2022-11-23T02:01:27.7093289Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2022-11-23T02:01:27.7093550Z for _ in $(seq 1440); do
2022-11-23T02:01:27.7093789Z     # Break if no ssh session exists anymore
2022-11-23T02:01:27.7094024Z     if [ "$(who)" = "" ]; then
2022-11-23T02:01:27.7094215Z       break
2022-11-23T02:01:27.7094424Z     fi
2022-11-23T02:01:27.7094607Z     echo "."
2022-11-23T02:01:27.7094789Z     sleep 5
2022-11-23T02:01:27.7095129Z done
2022-11-23T02:01:27.7106029Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:01:27.7106325Z env:
2022-11-23T02:01:27.7106517Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:01:27.7106727Z   GPU_FLAG: --gpus all
2022-11-23T02:01:27.7106997Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:01:27.7107264Z ##[endgroup]
2022-11-23T02:01:27.7131135Z Holding runner for 2 hours until all ssh sessions have logged out
2022-11-23T02:01:27.7211042Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:01:27.7211381Z # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:01:27.7211654Z # shellcheck disable=SC2046
2022-11-23T02:01:27.7211904Z docker stop $(docker ps -q) || true
2022-11-23T02:01:27.7212152Z # Prune all of the docker images
2022-11-23T02:01:27.7212390Z docker system prune -af
2022-11-23T02:01:27.7221387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:01:27.7221620Z env:
2022-11-23T02:01:27.7221814Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:01:27.7222016Z   GPU_FLAG: --gpus all
2022-11-23T02:01:27.7222296Z   DOCKER_CONTAINER_ID: 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:01:27.7222559Z ##[endgroup]
2022-11-23T02:01:28.0746946Z 746fe92894bf
2022-11-23T02:01:30.9543333Z Deleted Containers:
2022-11-23T02:01:30.9544103Z 746fe92894bf498a35131bfe08b674c628013e830a677aa1b058ede2b481fc75
2022-11-23T02:01:30.9544438Z 
2022-11-23T02:01:37.5076291Z Deleted Images:
2022-11-23T02:01:37.5077445Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T02:01:37.5078240Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7@sha256:3a5626edfb2c43fb24303351be75287af92426b6bb7c6df2defc98f980346c6a
2022-11-23T02:01:37.5078859Z deleted: sha256:e2c63e8434298b5b8922fe396fb22d541e83da3321f8559334df676354c6a90a
2022-11-23T02:01:37.5079330Z deleted: sha256:e97e2654456ae35786d9ff4a73ece4d85ce36ae9bd4e402e5f8c4c41a4b8cb5d
2022-11-23T02:01:37.5079878Z deleted: sha256:0191afefc9967131b7cd6196bee5a1d3a4eba8c24d3e11ff67013ecd0d244f4d
2022-11-23T02:01:37.5080382Z deleted: sha256:cd6998962c740e934e511d315fd0139a2737289173123cd7675b630fe71d0a6f
2022-11-23T02:01:37.5080882Z deleted: sha256:684c9dbbc4faf4388438a99012caaa6e9e9c3ac93f3842ff7b2f4c81c6c66866
2022-11-23T02:01:37.5081375Z deleted: sha256:be75865fc66b386df8a53dd220b7f4fa8464d0c86f06b6fa84e7d5b8fa2b5333
2022-11-23T02:01:37.5081747Z deleted: sha256:9e5281171ccc5aa329fd085f38d4831c13f47e27ea26a9243daf336fc701114a
2022-11-23T02:01:37.5082086Z deleted: sha256:0ba6072392ef0b01b99d45293e62f415e397460b4bf5a00257afb7aa9cfccb14
2022-11-23T02:01:37.5082634Z deleted: sha256:5f0fab79723550908a4149737ce5268ceacba20bc9c1aea35acdb6ff93ba4aa7
2022-11-23T02:01:37.5082965Z deleted: sha256:0c8088138816657b983280a5e4385f5c159c90b6be095bc4972290be20d46c16
2022-11-23T02:01:37.5083294Z deleted: sha256:a9cdd96267ff8adf28efa06db7d37977216a7580ca475239528fff85024f9bcb
2022-11-23T02:01:37.5083650Z deleted: sha256:9abd11e0b20ee19055f20e11ac5a4cc029eee3433686ce8ab9ffb6636269391a
2022-11-23T02:01:37.5083989Z deleted: sha256:cb16cc59b9c802a04fe3283c4a00840d0a3c24128b3620964a7aa927a757d672
2022-11-23T02:01:37.5084327Z deleted: sha256:ed27e40372acea88785f25bcd63f03a56960f00e444e3d5b22e52915e885242b
2022-11-23T02:01:37.5084685Z deleted: sha256:395dfa2cf9efd2fde511c14dbaf706e2efb3ab003af0cd725614b86f10643247
2022-11-23T02:01:37.5085029Z deleted: sha256:ca415181cb076083a9af8e85b901ee24154183e2d4c3960e21aab48260376214
2022-11-23T02:01:37.5085351Z deleted: sha256:b13fc2861b47406c24208813cb5398b911d9bae952f11ed9a411f42e221f8dfc
2022-11-23T02:01:37.5085696Z deleted: sha256:9cbf0b121bab50c1cad2d31b40f6c7c52003ba77877a2ef6d9bc87a2c0b073d2
2022-11-23T02:01:37.5086063Z deleted: sha256:60e157b04ecdbe2bce04795e0fade9ec9aae999065bd410785dcbaedd9778a19
2022-11-23T02:01:37.5086411Z deleted: sha256:5eb96691864f520823a417cd2f3278b4c2ac579490941d6c623865e478828c8b
2022-11-23T02:01:37.5086842Z deleted: sha256:e93d6940ac64ac73f178cc63066fb2c3ab041023d66146b32019cb7860511be5
2022-11-23T02:01:37.5087199Z deleted: sha256:e302e1f04c7e3031f83227f08d6987b02f39a75ac0e741754afad2dc1e265f8a
2022-11-23T02:01:37.5087521Z deleted: sha256:d82cdf793dbcd047c1843326443a1249721e7308a7c6fb3e23fe7331652e7047
2022-11-23T02:01:37.5087859Z deleted: sha256:3edb430c2f9009d4993daf017be01fe272bd3452db11c16e51f7755ac845d410
2022-11-23T02:01:37.5088197Z deleted: sha256:16e8f362c1784e16c1db6b1d0aa4449097e6d646f4c8682a122dea7c4da38aaf
2022-11-23T02:01:37.5088540Z deleted: sha256:7f58576cf19df9f3be9082f2c0ec2fc7010409b97ecb99bae66a10805d752f48
2022-11-23T02:01:37.5088873Z deleted: sha256:88688611a15825ecae20cd8c4032711d2351d2f954a9ebcd4c671b2bdb017df8
2022-11-23T02:01:37.5089218Z deleted: sha256:a46e0b74ccdcd4e2eb07727be3bc1a2c4236b1f88c65e64a50234e8a35932a80
2022-11-23T02:01:37.5089569Z deleted: sha256:b633962159aa14dfe94a149d00f90eecaba6dab960d4011bdf3667a5ee9586db
2022-11-23T02:01:37.5089906Z deleted: sha256:a05c7409499ce8c5d7ffc085772c3910c812ec835dc9145bbbb07b8b3c075235
2022-11-23T02:01:37.5090253Z deleted: sha256:0d63a7de5066f69cd9fd1af8fc47405e880de8f88f5cb16278a1f1ac94d0cd41
2022-11-23T02:01:37.5090585Z deleted: sha256:7d74b4ce1a60334100fccc0917345873714e640160622691b579d64c0ae4640f
2022-11-23T02:01:37.5090920Z deleted: sha256:33aae29ffc4791507bef289cfb1f178909f3fc97a40c618723eeec1f8f5bd80c
2022-11-23T02:01:37.5091263Z deleted: sha256:6ea72b84f0436ed1d288baf124dd38e43bbb89e746ccfd3a4ec420ddced8bbc2
2022-11-23T02:01:37.5091615Z deleted: sha256:04e33e1cfdd5a1b2409b80f5881e6cf7b1810fe975aad4ce7c97b0ff6c0e7b4e
2022-11-23T02:01:37.5091987Z deleted: sha256:df1ef30e86bf04681ecd0728263efe1e98b2eea0a228cef29bd0febfc8bdac2f
2022-11-23T02:01:37.5092336Z deleted: sha256:36a44974e500014175f5e49f50c8afa1ac9c5e8092a8ea99c3c97b7ce9c517d8
2022-11-23T02:01:37.5092663Z deleted: sha256:a31f0224d50d031823b07dbb97f256f6960c87ea3c52ebeceef98febab200451
2022-11-23T02:01:37.5093036Z deleted: sha256:c4beec84548d277aff0487a9a5a8c2b3d577421e3275f36106b778c6edbb9d53
2022-11-23T02:01:37.5093500Z deleted: sha256:bcc7df3b45729f5d1802045954e76e3407d9e07ba6f516de0895d775d00ad7f8
2022-11-23T02:01:37.5093845Z deleted: sha256:84de992a179a16ba619507ec45b04b4c0da3d3fa31cedc8f6beb5aaadd7a232a
2022-11-23T02:01:37.5094186Z deleted: sha256:5011206a0b2edc2a6c68ba41313e7f283ee7c925ab6a731f8818d01352f68596
2022-11-23T02:01:37.5094532Z deleted: sha256:46a56b12ac94daa35c90ac97d26adfde704693e34613d69fb97687aa53ae33f5
2022-11-23T02:01:37.5094879Z deleted: sha256:ed2b7a9e28b3474bc9b7e68f8158ecda88b3fa3d3ab1587898fa976922af0deb
2022-11-23T02:01:37.5095222Z deleted: sha256:4a6976746db7764bb48f2a06af1fb5f88e3646edc1c9bc0d18686d5a6350cac0
2022-11-23T02:01:37.5095618Z deleted: sha256:5e175425e3e9ec93e8c6c1b7560b49ef5e95af68ec55757902072a8dca020323
2022-11-23T02:01:37.5095954Z deleted: sha256:fb740502513c6cf883c844f03760de367c4c70d09a69b9476bcf737b4578563a
2022-11-23T02:01:37.5096301Z deleted: sha256:2c105119fc030d11b3d570ec9a83948a1fb17f138df2a3245f9566b89de51495
2022-11-23T02:01:37.5096647Z deleted: sha256:8caad6b6cba0d0ced7e21fe4b2027b8647d66b7f78c34367dd8571a0520ba2c0
2022-11-23T02:01:37.5097004Z deleted: sha256:1051db32aefad193995ca536ed99e29eed4fd0340ddda721ec11e9c4eb9e93af
2022-11-23T02:01:37.5097350Z deleted: sha256:c6b2a4553f41b3b4a3dc6a26be0020c98980bb4e7186d194901769dce6716c27
2022-11-23T02:01:37.5097695Z deleted: sha256:8faec3528fe75bb31f14d0caf8707a2fe4b70f60d7e631c2b3dbb36cd6d83dd9
2022-11-23T02:01:37.5098045Z deleted: sha256:7574bc80094251ac667e6bed9dd5a808ecf6f61f23c8d4c56a69c644d06f4e32
2022-11-23T02:01:37.5098386Z deleted: sha256:69f57fbceb1b420d7e4697e0f6514887b0805ee0059bea7d51e0a832962e74bf
2022-11-23T02:01:37.5098573Z 
2022-11-23T02:01:37.5188220Z Total reclaimed space: 22.95GB
2022-11-23T02:01:37.5254518Z Post job cleanup.
2022-11-23T02:01:37.5291950Z Post job cleanup.
2022-11-23T02:01:37.6351636Z [command]/usr/bin/git version
2022-11-23T02:01:37.6390591Z git version 2.37.1
2022-11-23T02:01:37.6429021Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/87930f21-08a0-4b35-83c3-b604e7b8daf6' before making global git config changes
2022-11-23T02:01:37.6429468Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T02:01:37.6434677Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T02:01:37.6478510Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T02:01:37.6499799Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T02:01:37.6869583Z Entering 'android/libs/fbjni'
2022-11-23T02:01:37.6914352Z Entering 'third_party/FP16'
2022-11-23T02:01:37.6955779Z Entering 'third_party/FXdiv'
2022-11-23T02:01:37.7000074Z Entering 'third_party/NNPACK'
2022-11-23T02:01:37.7046127Z Entering 'third_party/QNNPACK'
2022-11-23T02:01:37.7091360Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T02:01:37.7123459Z Entering 'third_party/XNNPACK'
2022-11-23T02:01:37.7224164Z Entering 'third_party/benchmark'
2022-11-23T02:01:37.7264480Z Entering 'third_party/cpuinfo'
2022-11-23T02:01:37.7306598Z Entering 'third_party/cub'
2022-11-23T02:01:37.7353263Z Entering 'third_party/cudnn_frontend'
2022-11-23T02:01:37.7385326Z Entering 'third_party/cutlass'
2022-11-23T02:01:37.7417030Z Entering 'third_party/eigen'
2022-11-23T02:01:37.7474313Z Entering 'third_party/fbgemm'
2022-11-23T02:01:37.7543977Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T02:01:37.7605314Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T02:01:37.7656562Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T02:01:37.7704534Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T02:01:37.7745983Z Entering 'third_party/flatbuffers'
2022-11-23T02:01:37.7775630Z Entering 'third_party/fmt'
2022-11-23T02:01:37.7822128Z Entering 'third_party/foxi'
2022-11-23T02:01:37.7857535Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T02:01:37.7898069Z Entering 'third_party/gloo'
2022-11-23T02:01:37.7940038Z Entering 'third_party/googletest'
2022-11-23T02:01:37.7982956Z Entering 'third_party/ideep'
2022-11-23T02:01:37.8039217Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T02:01:37.8120282Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T02:01:37.8203823Z Entering 'third_party/ios-cmake'
2022-11-23T02:01:37.8244668Z Entering 'third_party/ittapi'
2022-11-23T02:01:37.8275915Z Entering 'third_party/kineto'
2022-11-23T02:01:37.8304697Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T02:01:37.8335109Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T02:01:37.8366977Z Entering 'third_party/nccl/nccl'
2022-11-23T02:01:37.8415963Z Entering 'third_party/neon2sse'
2022-11-23T02:01:37.8455493Z Entering 'third_party/nlohmann'
2022-11-23T02:01:37.8487043Z Entering 'third_party/onnx'
2022-11-23T02:01:37.8587661Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T02:01:37.8645984Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T02:01:37.8689428Z Entering 'third_party/onnx-tensorrt'
2022-11-23T02:01:37.8744074Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T02:01:37.8835932Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T02:01:37.8900847Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T02:01:37.8954449Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T02:01:37.9002537Z Entering 'third_party/pocketfft'
2022-11-23T02:01:37.9028973Z Entering 'third_party/protobuf'
2022-11-23T02:01:37.9130311Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T02:01:37.9186396Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T02:01:37.9237053Z Entering 'third_party/psimd'
2022-11-23T02:01:37.9275679Z Entering 'third_party/pthreadpool'
2022-11-23T02:01:37.9317626Z Entering 'third_party/pybind11'
2022-11-23T02:01:37.9365791Z Entering 'third_party/python-enum'
2022-11-23T02:01:37.9400653Z Entering 'third_party/python-peachpy'
2022-11-23T02:01:37.9447032Z Entering 'third_party/python-six'
2022-11-23T02:01:37.9486829Z Entering 'third_party/sleef'
2022-11-23T02:01:37.9536122Z Entering 'third_party/tbb'
2022-11-23T02:01:37.9566774Z Entering 'third_party/tensorpipe'
2022-11-23T02:01:37.9626711Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T02:01:37.9684443Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T02:01:37.9735442Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T02:01:37.9783989Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T02:01:37.9854769Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T02:01:37.9904916Z Entering 'third_party/zstd'
2022-11-23T02:01:37.9963026Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T02:01:37.9987611Z http.https://github.com/.extraheader
2022-11-23T02:01:37.9994981Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2022-11-23T02:01:38.0023129Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T02:01:38.0235702Z Entering 'android/libs/fbjni'
2022-11-23T02:01:38.0250302Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0274514Z Entering 'third_party/FP16'
2022-11-23T02:01:38.0291519Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0314411Z Entering 'third_party/FXdiv'
2022-11-23T02:01:38.0329979Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0353858Z Entering 'third_party/NNPACK'
2022-11-23T02:01:38.0370342Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0394141Z Entering 'third_party/QNNPACK'
2022-11-23T02:01:38.0410060Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0433421Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T02:01:38.0449859Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0474586Z Entering 'third_party/XNNPACK'
2022-11-23T02:01:38.0489855Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0520259Z Entering 'third_party/benchmark'
2022-11-23T02:01:38.0536729Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0559077Z Entering 'third_party/cpuinfo'
2022-11-23T02:01:38.0575811Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0598013Z Entering 'third_party/cub'
2022-11-23T02:01:38.0614212Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0636322Z Entering 'third_party/cudnn_frontend'
2022-11-23T02:01:38.0651955Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0677912Z Entering 'third_party/cutlass'
2022-11-23T02:01:38.0693274Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0721023Z Entering 'third_party/eigen'
2022-11-23T02:01:38.0737603Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0762277Z Entering 'third_party/fbgemm'
2022-11-23T02:01:38.0777657Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0802967Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T02:01:38.0819433Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0843310Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T02:01:38.0859651Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0882343Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T02:01:38.0899147Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0923617Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T02:01:38.0940259Z http.https://github.com/.extraheader
2022-11-23T02:01:38.0964750Z Entering 'third_party/flatbuffers'
2022-11-23T02:01:38.0982441Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1005967Z Entering 'third_party/fmt'
2022-11-23T02:01:38.1022792Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1046321Z Entering 'third_party/foxi'
2022-11-23T02:01:38.1062226Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1084877Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T02:01:38.1102008Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1123947Z Entering 'third_party/gloo'
2022-11-23T02:01:38.1140889Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1162635Z Entering 'third_party/googletest'
2022-11-23T02:01:38.1177942Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1199732Z Entering 'third_party/ideep'
2022-11-23T02:01:38.1215832Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1237668Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T02:01:38.1253181Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1276369Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T02:01:38.1291042Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1319592Z Entering 'third_party/ios-cmake'
2022-11-23T02:01:38.1335741Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1358371Z Entering 'third_party/ittapi'
2022-11-23T02:01:38.1373097Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1394396Z Entering 'third_party/kineto'
2022-11-23T02:01:38.1411433Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1434573Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T02:01:38.1450520Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1473710Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T02:01:38.1488372Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1513180Z Entering 'third_party/nccl/nccl'
2022-11-23T02:01:38.1529870Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1553664Z Entering 'third_party/neon2sse'
2022-11-23T02:01:38.1568903Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1590204Z Entering 'third_party/nlohmann'
2022-11-23T02:01:38.1607060Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1628919Z Entering 'third_party/onnx'
2022-11-23T02:01:38.1645423Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1675034Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T02:01:38.1690582Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1714024Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T02:01:38.1730612Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1756585Z Entering 'third_party/onnx-tensorrt'
2022-11-23T02:01:38.1772141Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1793970Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T02:01:38.1809951Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1836319Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T02:01:38.1851821Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1874261Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T02:01:38.1889012Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1910687Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T02:01:38.1926904Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1953683Z Entering 'third_party/pocketfft'
2022-11-23T02:01:38.1969419Z http.https://github.com/.extraheader
2022-11-23T02:01:38.1993863Z Entering 'third_party/protobuf'
2022-11-23T02:01:38.2010311Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2035898Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T02:01:38.2052163Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2074905Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T02:01:38.2090849Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2115617Z Entering 'third_party/psimd'
2022-11-23T02:01:38.2131654Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2154591Z Entering 'third_party/pthreadpool'
2022-11-23T02:01:38.2170916Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2194412Z Entering 'third_party/pybind11'
2022-11-23T02:01:38.2210277Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2233856Z Entering 'third_party/python-enum'
2022-11-23T02:01:38.2249889Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2270415Z Entering 'third_party/python-peachpy'
2022-11-23T02:01:38.2287103Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2308554Z Entering 'third_party/python-six'
2022-11-23T02:01:38.2325416Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2347684Z Entering 'third_party/sleef'
2022-11-23T02:01:38.2363168Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2384057Z Entering 'third_party/tbb'
2022-11-23T02:01:38.2400873Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2424274Z Entering 'third_party/tensorpipe'
2022-11-23T02:01:38.2440904Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2462281Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T02:01:38.2478406Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2500565Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T02:01:38.2516804Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2539646Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T02:01:38.2555826Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2577630Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T02:01:38.2593514Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2615649Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T02:01:38.2633683Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2659336Z Entering 'third_party/zstd'
2022-11-23T02:01:38.2675294Z http.https://github.com/.extraheader
2022-11-23T02:01:38.2891336Z Cleaning up orphan processes